diff --git a/html/config.js b/html/config.js
index 8545338..ef00a09 100644
--- a/html/config.js
+++ b/html/config.js
@@ -277,6 +277,9 @@ HideCols = [
 // provide ZZZZ.png to be shown when the type is not known.
 // this feature is provided as is please don't expect tar1090's support for getting the pictures right.
 
+// labelsGeom = false; // labels: uses geometric altitude (WGS84 ellipsoid unless geomUseEGM is enabled
+// geomUseEGM = false; // use EGM96 for displaying geometric altitudes (extra load time!)
+
 // windLabelsSlim = false;
 // showLabelUnits = true;
 //
diff --git a/html/defaults.js b/html/defaults.js
index bf67a26..30fd650 100644
--- a/html/defaults.js
+++ b/html/defaults.js
@@ -297,7 +297,8 @@ let showSil = false;
 // provide ZZZZ.png to be shown when the type is not known.
 // this feature is provided as is please don't expect tar1090's support for getting the pictures right.
 
-
+let labelsGeom = false; // labels: uses geometric altitude (WGS84 ellipsoid unless geomUseEGM is enabled
+let geomUseEGM = false; // use EGM96 for displaying geometric altitudes (extra load time!)
 
 let windLabelsSlim = false;
 let showLabelUnits = true;
diff --git a/html/index.html b/html/index.html
index 2c0ffec..fb97fd9 100644
--- a/html/index.html
+++ b/html/index.html
@@ -11,7 +11,7 @@
 
     <!-- CSS_ANCHOR -->
     <link rel="stylesheet" href="libs/jquery-ui-1.12.1.min.css" type="text/css">
-    <link rel="stylesheet" href="libs/ol-643.css" type="text/css" />
+    <link rel="stylesheet" href="libs/ol-6.10.0.css" type="text/css" />
     <link rel="stylesheet" href="libs/ol-layerswitcher-370.css" type="text/css"/>
     <link rel="stylesheet" href="style.css" type="text/css" />
 
@@ -282,7 +282,7 @@
               </tr>
               <tr>
                 <td>
-                  <span class="infoHeading" title="The geometric GPS derived altitude (MSL), converted to datum EGM96 (KML, typical online maps)">Geom. Altitude</span>:
+                  <span class="infoHeading" title="The geometric GPS derived altitude referenced to WGS84 ellipsoid (or reference EGM96 when enabled in the settings)">Geom. Altitude</span>:
                   <span class="infoData" id="selected_altitude_geom1"></span>
                 </td>
               </tr>
@@ -515,7 +515,7 @@
             </div>
             <div>
               <div class="infoHeading">
-                <span title="The geometric GPS derived altitude (MSL), converted to datum EGM96 (KML, typical online maps)(was WGS84 before the change)">Geometric</span>:
+                <span title="The geometric GPS derived altitude referenced to WGS84 ellipsoid (or reference EGM96 when enabled in the settings)">Geometric</span>:
               </div>
               <div class="infoData">
                 <span id="selected_altitude_geom2">n/a</span>
@@ -1015,7 +1015,7 @@
     <script src="libs/elm-pep-01.js"></script>
     <script src="libs/jquery-ui-1.12.1.min.js"></script>
     <script src="libs/jquery.ui.touch-punch-1.12.1.js"></script>
-    <script src="libs/ol-custom014.js"></script>
+    <script src="libs/ol-custom016.js"></script>
 
     <script src="early.js"></script>
 
@@ -1032,6 +1032,7 @@
     <script src="planeObject.js"></script>
     <script src="script.js"></script>
 
+
     <link rel="preload" as="image" href="images/sprites010.png">
 
   </body>
diff --git a/html/libs/egm96-universal-1.1.0.min.js b/html/libs/egm96-universal-1.1.0.min.js
new file mode 100644
index 0000000..1414bde
--- /dev/null
+++ b/html/libs/egm96-universal-1.1.0.min.js
@@ -0,0 +1,2 @@
+!function(A,B){"object"==typeof exports&&"undefined"!=typeof module?B(exports):"function"==typeof define&&define.amd?define(["exports"],B):B((A="undefined"!=typeof globalThis?globalThis:A||self).egm96={})}(this,(function(A){"use strict";var B={};function w(A,B,w){var v;if(void 0===w&&(w={}),!B.codes){B.codes={};for(var Q=0;Q<B.chars.length;++Q)B.codes[B.chars[Q]]=Q}if(!w.loose&&A.length*B.bits&7)throw new SyntaxError("Invalid padding");for(var P=A.length;"="===A[P-1];)if(--P,!(w.loose||(A.length-P)*B.bits&7))throw new SyntaxError("Invalid padding");for(var f=new(null!=(v=w.out)?v:Uint8Array)(P*B.bits/8|0),g=0,C=0,D=0,E=0;E<P;++E){var F=B.codes[A[E]];if(void 0===F)throw new SyntaxError("Invalid character "+A[E]);C=C<<B.bits|F,(g+=B.bits)>=8&&(g-=8,f[D++]=255&C>>g)}if(g>=B.bits||255&C<<8-g)throw new SyntaxError("Unexpected end of data");return f}function v(A,B,w){void 0===w&&(w={});for(var v=w.pad,Q=void 0===v||v,P=(1<<B.bits)-1,f="",g=0,C=0,D=0;D<A.length;++D)for(C=C<<8|255&A[D],g+=8;g>B.bits;)g-=B.bits,f+=B.chars[P&C>>g];if(g&&(f+=B.chars[P&C<<B.bits-g]),Q)for(;f.length*B.bits&7;)f+="=";return f}Object.defineProperty(B,"__esModule",{value:!0});var Q={chars:"0123456789ABCDEF",bits:4},P={chars:"ABCDEFGHIJKLMNOPQRSTUVWXYZ234567",bits:5},f={chars:"0123456789ABCDEFGHIJKLMNOPQRSTUV",bits:5},g={chars:"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/",bits:6},C={chars:"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_",bits:6},D={parse:function(A,B){return w(A.toUpperCase(),Q,B)},stringify:function(A,B){return v(A,Q,B)}},E={parse:function(A,B){return void 0===B&&(B={}),w(B.loose?A.toUpperCase().replace(/0/g,"O").replace(/1/g,"L").replace(/8/g,"B"):A,P,B)},stringify:function(A,B){return v(A,P,B)}},F={parse:function(A,B){return w(A,f,B)},stringify:function(A,B){return v(A,f,B)}},H={parse:function(A,B){return w(A,g,B)},stringify:function(A,B){return v(A,g,B)}},I={parse:function(A,B){return w(A,C,B)},stringify:function(A,B){return v(A,C,B)}},z={parse:w,stringify:v};B.base16=D,B.base32=E,B.base32hex=F,B.base64=H,B.base64url=I,B.codec=z,B.base16,B.base32,B.base32hex;const L=B.base64;B.base64url,B.codec;const G=L.parse("BVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBW4FbgVuBW4FbgVuBW4FbgVtBW0FbQVtBW0FbQVtBW0FbQVsBWwFbAVsBWwFbAVsBWwFbAVrBWsFawVrBWsFawVrBWsFagVqBWoFagVqBWoFagVqBWkFaQVpBWkFaQVpBWkFaQVpBWgFaAVoBWgFaAVoBWgFaAVnBWcFZwVnBWcFZwVnBWYFZgVmBWYFZgVmBWYFZQVlBWUFZQVlBWUFZQVlBWQFZAVkBWQFZAVkBWQFZAVjBWMFYwVjBWMFYwViBWIFYgViBWIFYgViBWIFYQVhBWEFYQVhBWEFYQVhBWAFYAVgBWAFYAVgBWAFXwVfBV8FXwVfBV8FXwVeBV4FXgVeBV4FXgVeBV0FXQVdBV0FXQVdBV0FXQVcBVwFXAVcBVwFXAVcBVwFWwVbBVsFWwVbBVsFWwVaBVoFWgVaBVoFWgVaBVoFWQVZBVkFWQVZBVkFWQVZBVgFWAVYBVgFWAVYBVgFWAVXBVcFVwVXBVcFVwVXBVYFVgVWBVYFVgVWBVYFVgVWBVUFVQVVBVUFVQVVBVUFVQVVBVQFVAVUBVQFVAVUBVQFVAVUBVMFUwVTBVMFUwVTBVMFUwVTBVIFUgVSBVIFUgVSBVIFUgVRBVEFUQVRBVEFUQVRBVEFUQVRBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVPBU8FTwVPBU8FTwVPBU8FTwVPBU8FTgVOBU4FTgVOBU4FTgVOBU4FTgVNBU0FTQVNBU0FTQVNBU0FTQVNBU0FTAVMBUwFTAVMBUwFTAVMBUwFTAVMBUwFTAVMBUsFSwVLBUsFSwVLBUsFSwVLBUsFSwVLBUsFSgVKBUoFSgVKBUoFSgVKBUoFSgVKBUoFSQVJBUkFSQVJBUkFSQVJBUkFSQVJBUkFSQVJBUkFSAVIBUgFSAVIBUgFSAVIBUgFSAVIBUgFSAVIBUgFSAVIBUcFRwVHBUcFRwVHBUcFRwVHBUcFRwVHBUcFRwVHBUcFRwVGBUYFRgVGBUYFRgVGBUYFRgVGBUYFRgVGBUYFRgVGBUUFRQVFBUUFRQVFBUUFRQVFBUUFRQVFBUUFRQVFBUUFRQVFBUUFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVFBUUFRQVFBUUFRQVFBUUFRQVFBUYFRgVGBUYFRgVGBUYFRgVGBUcFRwVHBUcFRwVHBUcFRwVHBUgFSAVIBUgFSAVIBUgFSAVIBUgFSQVJBUkFSQVJBUkFSQVJBUkFSgVKBUoFSgVKBUoFSgVLBUsFSwVLBUsFSwVLBUsFTAVMBUwFTAVMBUwFTAVMBU0FTQVNBU0FTQVNBU0FTQVOBU4FTgVOBU4FTgVPBU8FTwVPBU8FTwVPBVAFUAVQBVAFUAVQBVAFUAVRBVEFUQVRBVEFUQVRBVIFUgVSBVIFUgVSBVMFUwVTBVMFUwVTBVMFVAVUBVQFVAVUBVQFVAVVBVUFVQVVBVUFVQVVBVYFVgVWBVYFVgVWBVYFVwVXBVcFVwVXBVcFWAVYBVgFWAVYBVgFWAVZBVkFWQVZBVkFWQVZBVoFWgVaBVoFWgVaBVoFWwVbBVsFWwVbBVsFWwVcBVwFXAVcBVwFXAVcBV0FXQVdBV0FXQVdBV0FXgVeBV4FXgVeBV4FXgVfBV8FXwVfBV8FXwVfBWAFYAVgBWAFYAVgBWAFYAVhBWEFYQVhBWEFYQVhBWEFYgViBWIFYgViBWIFYgViBWMFYwVjBWMFYwVjBWMFZAVkBWQFZAVkBWQFZAVkBWUFZQVlBWUFZQVlBWUFZQVlBWYFZgVmBWYFZgVmBWYFZgVmBWcFZwVnBWcFZwVnBWcFZwVnBWgFaAVoBWgFaAVoBWgFaAVoBWkFaQVpBWkFaQVpBWkFaQVpBWkFaQVqBWoFagVqBWoFagVqBWoFagVqBWoFawVrBWsFawVrBWsFawVrBWsFawVsBWwFbAVsBWwFbAVsBWwFbAVsBWwFbAVtBW0FbQVtBW0FbQVtBW0FbQVtBW0FbQVtBW4FbgVuBW4FbgVuBW4FbgVuBW4FbgVuBW4FbgVuBW8FbwVvBW8FbwVvBW8FbwVvBW8FbwVvBW8FbwVvBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVxBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVxBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVwBXAFcAVwBXAFcAVwBXAFcAVwBW8FbwVvBW8FbwVvBW8FbwVvBW8FbgVuBaIFogWiBaIFoQWhBaEFoQWhBaAFoAWgBaAFnwWfBZ8FnwWeBZ4FngWeBZ0FnQWdBZ0FnAWcBZwFnAWbBZsFmwWbBZoFmgWaBZoFmQWZBZkFmAWYBZgFlwWXBZcFlwWWBZYFlgWWBZUFlQWVBZQFlAWUBZMFkwWTBZMFkgWSBZIFkQWRBZEFkAWQBZAFjwWPBY8FjgWOBY4FjgWNBY0FjAWMBYwFjAWLBYsFiwWKBYoFigWJBYkFiQWIBYgFiAWHBYcFhwWGBYYFhgWFBYUFhQWFBYQFhAWDBYMFgwWDBYIFggWCBYEFgQWBBYAFgAWABX8FfwV/BX4FfgV+BX4FfQV9BX0FfAV8BXwFewV7BXsFegV6BXoFeQV5BXkFeQV4BXgFeAV3BXcFdwV2BXYFdgV2BXUFdQV1BXQFdAV0BXMFcwVzBXMFcgVyBXIFcgVxBXEFcQVwBXAFcAVwBW8FbwVvBW4FbgVuBW4FbQVtBW0FbQVsBWwFbAVsBWsFawVrBWsFagVqBWoFagVpBWkFaQVpBWgFaAVoBWgFZwVnBWcFZwVmBWYFZgVmBWUFZQVlBWUFZQVkBWQFZAVkBWQFYwVjBWMFYwViBWIFYgViBWEFYQVhBWEFYQVhBWAFYAVgBWAFYAVfBV8FXwVfBV4FXgVeBV4FXgVdBV0FXQVdBV0FXQVcBVwFXAVcBVwFWwVbBVsFWwVbBVoFWgVaBVoFWgVaBVkFWQVZBVkFWQVZBVgFWAVYBVgFWAVYBVcFVwVXBVcFVwVWBVYFVgVWBVYFVgVVBVUFVQVVBVUFVQVVBVQFVAVUBVQFVAVUBVMFUwVTBVMFUwVTBVMFUgVSBVIFUgVSBVIFUQVRBVEFUQVRBVEFUQVQBVAFUAVQBVAFUAVQBU8FTwVPBU8FTwVPBU8FTgVOBU4FTgVOBU4FTgVNBU0FTQVNBU0FTQVNBUwFTAVMBUwFTAVMBUwFTAVLBUsFSwVLBUsFSwVLBUoFSgVKBUoFSgVKBUoFSQVJBUkFSQVJBUkFSQVJBUgFSAVIBUgFSAVIBUgFSAVIBUcFRwVHBUcFRwVHBUcFRwVGBUYFRgVGBUYFRgVGBUUFRQVFBUUFRQVFBUUFRQVEBUQFRAVEBUQFRAVEBUQFRAVDBUMFQwVDBUMFQwVDBUMFQwVCBUIFQgVCBUIFQgVCBUEFQQVBBUEFQQVBBUEFQQVBBUAFQAVABUAFQAVABUAFQAVABT8FPwU/BT8FPwU/BT8FPwU/BT4FPgU+BT4FPgU+BT4FPgU9BT0FPQU9BT0FPQU9BT0FPAU8BTwFPAU8BTwFPAU8BTwFOwU7BTsFOwU7BTsFOwU7BTsFOgU6BToFOgU6BToFOgU6BTkFOQU5BTkFOQU5BTkFOQU4BTgFOAU4BTgFOAU4BTgFNwU3BTcFNwU3BTcFNwU3BTcFNwU2BTYFNgU2BTYFNgU2BTYFNQU1BTUFNQU1BTUFNQU1BTQFNAU0BTQFNAU0BTQFNAU0BTMFMwUzBTMFMwUzBTMFMwUzBTMFMwUyBTIFMgUyBTIFMgUyBTIFMgUyBTEFMQUxBTEFMQUxBTEFMQUxBTEFMQUwBTAFMAUwBTAFMAUwBTAFMAUwBTAFMAUwBTAFLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FMAUwBTAFMAUwBTAFMAUwBTAFMAUwBTAFMQUxBTEFMQUxBTEFMQUyBTIFMgUyBTIFMgUyBTIFMwUzBTMFMwUzBTMFMwU0BTQFNAU0BTQFNAU1BTUFNQU1BTYFNgU2BTYFNgU3BTcFNwU3BTcFOAU4BTgFOAU4BTkFOQU5BTkFOgU6BToFOgU7BTsFOwU7BTwFPAU8BTwFPQU9BT0FPgU+BT4FPwU/BT8FPwVABUAFQAVABUEFQQVBBUIFQgVCBUMFQwVDBUQFRAVEBUUFRQVFBUYFRgVGBUcFRwVHBUgFSAVIBUkFSQVJBUoFSgVKBUsFSwVMBUwFTAVNBU0FTQVOBU4FTgVPBU8FUAVQBVAFUQVRBVEFUgVSBVMFUwVTBVQFVAVUBVUFVQVWBVYFVgVXBVcFWAVYBVgFWQVZBVkFWgVaBVsFWwVcBVwFXAVdBV0FXQVeBV4FXwVfBV8FYAVgBWEFYQVhBWIFYgVjBWMFYwVkBWQFZQVlBWUFZgVmBWcFZwVnBWgFaAVpBWkFaQVqBWoFagVrBWsFbAVsBW0FbQVtBW4FbgVuBW8FbwVvBXAFcAVxBXEFcQVyBXIFcwVzBXMFdAV0BXQFdQV1BXYFdgV2BXcFdwV3BXgFeAV4BXkFeQV6BXoFegV6BXsFewV7BXwFfAV9BX0FfQV+BX4FfgV/BX8FfwWABYAFgAWBBYEFgQWCBYIFggWCBYMFgwWDBYQFhAWEBYUFhQWFBYUFhgWGBYYFhwWHBYcFhwWIBYgFiAWIBYkFiQWJBYoFigWKBYoFiwWLBYsFiwWMBYwFjAWMBY0FjQWNBY0FjgWOBY4FjgWPBY8FjwWPBY8FkAWQBZAFkAWQBZEFkQWRBZEFkgWSBZIFkgWSBZIFkwWTBZMFkwWTBZQFlAWUBZQFlAWUBZUFlQWVBZUFlQWVBZYFlgWWBZYFlgWWBZcFlwWXBZcFlwWXBZcFmAWYBZgFmAWYBZgFmAWYBZkFmQWZBZkFmQWZBZkFmgWaBZoFmgWaBZoFmgWaBZoFmwWbBZsFmwWbBZsFmwWbBZsFmwWcBZwFnAWcBZwFnAWcBZwFnAWcBZwFnQWdBZ0FnQWdBZ0FnQWdBZ0FnQWdBZ4FngWeBZ4FngWeBZ4FngWeBZ4FngWeBZ4FngWfBZ8FnwWfBZ8FnwWfBZ8FnwWfBZ8FnwWfBZ8FnwWfBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoQWhBaEFoQWhBaEFoQWhBaEFoQWhBaEFoQWhBaEFoQWhBaEFoQWiBaIFogWiBaIFogWiBaIFogWiBaIFogWiBaIFogWiBaIFowWjBaMFowWjBaMFowWjBaMFowWjBaMFowWjBaMFowWjBaMFpAWkBaQFpAWkBaQFpAWkBaQFpAWkBaQFpAWkBaQFpAWkBaQFpAWlBaUFpQWlBaUFpQWlBaUFpQWlBaUFpQWlBaUFpQWlBaYFpgWmBaYFpgWmBaYFpgWmBaYFpgWmBaYFpwWnBacFpwWnBacFpwWnBacFpwWnBacFpwWnBacFqAWoBagFqAWoBagFqAWoBagFqAWoBagFqAWoBagFqAWpBakFqQWpBakFqQWpBakFqQWpBakFqQWpBakFqQWqBaoFqgWqBaoFqgWqBaoFqgWqBaoFqgWqBaoFqgWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqgWqBaoFqgWqBaoFqgWqBaoFqgWpBakFqQWpBakFqQWpBakFqQWoBagFqAWoBagFqAWoBagFpwWnBacFpwWnBacFpwWmBaYFpgWmBaYFpQWlBaUFpQWlBaUFpAWkBaQFpAWkBaQFowWjBaMFowWjBdoF2gXZBdkF2QXZBdkF2AXYBdgF1wXXBdcF1wXWBdYF1gXWBdUF1QXVBdQF1AXUBdMF0wXTBdIF0gXSBdEF0QXRBdAF0AXQBc8FzwXPBc4FzgXOBc0FzQXNBcwFzAXLBcsFywXKBcoFyQXJBckFyAXIBccFxwXHBcYFxgXFBcUFxQXEBcQFwwXDBcIFwgXCBcEFwQXABcAFwAW/Bb8FvgW+Bb0FvQW9BbwFvAW7BbsFugW6BbkFuQW5BbgFuAW3BbcFtgW2BbUFtQW1BbQFtAWzBbMFsgWyBbEFsQWxBbAFsAWvBa8FrgWuBa0FrQWtBawFrAWrBasFqwWqBaoFqQWpBagFqAWoBacFpwWmBaYFpQWlBaQFpAWkBaMFowWiBaIFogWhBaEFoAWgBaAFnwWfBZ4FngWdBZ0FnQWcBZwFmwWbBZsFmgWaBZkFmQWZBZgFmAWXBZcFlwWWBZYFlgWVBZUFlAWUBZQFkwWTBZIFkgWSBZEFkQWQBZAFkAWPBY8FjwWOBY4FjgWNBY0FjAWMBYwFiwWLBYsFigWKBYkFiQWJBYgFiAWHBYcFhwWGBYYFhgWFBYUFhQWEBYQFgwWDBYMFggWCBYIFgQWBBYAFgAWABX8FfwV+BX4FfgV9BX0FfQV8BXwFewV7BXsFegV6BXkFeQV5BXgFeAV3BXcFdwV2BXYFdgV1BXUFdAV0BXMFcwVzBXIFcgVyBXEFcQVwBXAFbwVvBW8FbgVuBW4FbQVtBWwFbAVrBWsFawVqBWoFaQVpBWkFaAVoBWcFZwVmBWYFZgVlBWUFZAVkBWMFYwVjBWIFYgVhBWEFYQVgBWAFXwVfBV4FXgVdBV0FXQVcBVwFWwVbBVoFWgVaBVkFWQVYBVgFWAVXBVcFVgVWBVUFVQVVBVQFVAVTBVMFUgVSBVEFUQVRBVAFUAVPBU8FTwVOBU4FTQVNBUwFTAVMBUsFSwVLBUoFSgVJBUkFSAVIBUgFRwVHBUcFRgVGBUUFRQVEBUQFRAVDBUMFQwVCBUIFQQVBBUEFQAVABUAFPwU/BT8FPgU+BT0FPQU9BTwFPAU8BTwFOwU7BTsFOgU6BToFOQU5BTkFOAU4BTgFNwU3BTcFNwU2BTYFNgU1BTUFNQU1BTQFNAU0BTQFMwUzBTMFMwUyBTIFMgUyBTIFMQUxBTEFMQUwBTAFMAUwBTAFMAUvBS8FLwUvBS8FLwUvBS4FLgUuBS4FLgUuBS4FLQUtBS0FLQUtBS0FLQUtBSwFLAUsBSwFLAUsBSwFLAUsBSwFLAUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUpBSkFKQUpBSkFKQUpBSkFKQUpBSkFKQUpBSkFKQUoBSgFKAUoBSgFKAUoBSgFKAUoBSgFJwUnBScFJwUnBScFJwUnBScFJgUmBSYFJgUmBSYFJgUmBSUFJQUlBSUFJQUlBSQFJAUkBSQFJAUkBSMFIwUjBSMFIwUjBSMFIgUiBSIFIgUiBSEFIQUhBSEFIQUhBSAFIAUgBSAFIAUfBR8FHwUfBR8FHwUeBR4FHgUeBR4FHgUdBR0FHQUdBR0FHQUdBRwFHAUcBRwFHAUcBRsFGwUbBRsFGwUbBRsFGwUaBRoFGgUaBRoFGgUaBRoFGgUaBRoFGgUaBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUaBRoFGgUaBRoFGgUaBRoFGgUaBRoFGgUbBRsFGwUbBRsFGwUbBRwFHAUcBRwFHAUcBR0FHQUdBR0FHQUeBR4FHgUeBR4FHwUfBR8FHwUgBSAFIAUgBSEFIQUhBSEFIgUiBSIFIwUjBSMFIwUkBSQFJAUlBSUFJQUmBSYFJgUnBScFJwUnBSgFKAUpBSkFKQUqBSoFKgUrBSsFKwUsBSwFLQUtBS0FLgUuBS8FLwUvBTAFMAUxBTEFMgUyBTIFMwUzBTQFNAU0BTUFNQU2BTYFNwU3BTgFOAU5BTkFOgU6BTsFOwU7BTwFPAU9BT0FPgU+BT8FPwVABUAFQQVBBUIFQgVDBUMFRAVEBUUFRQVGBUcFRwVIBUgFSQVJBUoFSgVLBUwFTAVNBU0FTgVOBU8FTwVQBVEFUQVSBVIFUwVTBVQFVQVVBVYFVgVXBVgFWAVZBVkFWgVaBVsFXAVcBV0FXgVeBV8FXwVgBWEFYQViBWIFYwVkBWQFZQVlBWYFZwVnBWgFaQVpBWoFagVrBWwFbAVtBW4FbgVvBW8FcAVxBXEFcgVzBXMFdAV1BXUFdgV2BXcFeAV4BXkFegV6BXsFewV8BX0FfQV+BX4FfwWABYAFgQWCBYIFgwWDBYQFhQWFBYYFhgWHBYcFiAWJBYkFigWKBYsFjAWMBY0FjQWOBY8FjwWQBZAFkQWRBZIFkwWTBZQFlAWVBZUFlgWWBZcFlwWYBZkFmQWaBZoFmwWbBZwFnAWdBZ0FngWfBZ8FoAWgBaAFoQWiBaIFowWjBaQFpAWlBaUFpgWmBacFpwWoBagFqAWpBakFqgWrBasFqwWsBawFrQWtBa4FrgWvBa8FsAWwBbAFsQWxBbIFsgWzBbMFtAW0BbQFtQW1BbYFtgW3BbcFuAW4BbgFuQW5BboFugW6BbsFuwW8BbwFvQW9Bb0FvgW+Bb4FvwW/BcAFwAXABcEFwQXCBcIFwgXDBcMFwwXEBcQFxQXFBcUFxgXGBcYFxwXHBccFyAXIBcgFyQXJBckFygXKBcoFywXLBcsFzAXMBcwFzQXNBc0FzQXOBc4FzgXOBc8FzwXPBdAF0AXQBdAF0QXRBdEF0gXSBdIF0gXSBdMF0wXTBdMF1AXUBdQF1AXVBdUF1QXVBdUF1gXWBdYF1gXWBdYF1wXXBdcF1wXXBdgF2AXYBdgF2AXYBdkF2QXZBdkF2QXZBdkF2gXaBdoF2gXaBdoF2gXaBdoF2gXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBd0F3QXdBd0F3QXdBd0F3QXdBd0F3QXeBd4F3gXeBd4F3gXeBd4F3gXeBd4F3gXeBd8F3wXfBd8F3wXfBd8F3wXfBd8F3wXfBd8F3wXfBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBd8F3wXfBd8F3wXfBd8F3wXfBd8F3wXfBd4F3gXeBd4F3gXeBd4F3gXdBd0F3QXdBd0F3QXdBdwF3AXcBdwF3AXbBdsF2wXbBdoF2gXaBgkGCQYJBgkGCQYIBggGCAYIBggGCAYHBgcGBwYHBgcGBgYGBgYGBgYFBgUGBQYFBgQGBAYEBgQGAwYDBgMGAwYCBgIGAgYBBgEGAQYABgAGAAYABf8F/wX/Bf4F/gX+Bf0F/QX9BfwF/AX8BfsF+wX7BfoF+gX5BfkF+QX4BfgF9wX3BfcF9gX2BfYF9QX1BfQF9AX0BfMF8wXyBfIF8gXxBfEF8AXwBe8F7wXvBe4F7gXtBe0F7AXsBesF6wXqBeoF6gXpBekF6AXoBecF5wXmBeYF5QXlBeQF5AXjBeMF4gXiBeIF4QXhBeAF4AXfBd8F3gXeBd0F3QXcBdwF2wXbBdoF2gXZBdkF2AXYBdcF1wXWBdYF1QXVBdQF1AXTBdMF0gXSBdEF0QXQBdAFzwXPBc4FzgXNBc0FzAXMBcsFywXKBcoFyQXJBcgFyAXHBccFxgXGBcUFxQXEBcQFwwXDBcIFwgXBBcEFwAXABb8FvwW+Bb4FvQW9BbwFvAW7BbsFugW6BbkFuQW4BbgFtwW3BbYFtQW1BbQFtAWzBbMFsgWyBbEFsQWwBbAFrwWvBa4FrQWtBawFrAWrBasFqgWpBakFqAWoBacFpgWmBaUFpQWkBaMFowWiBaEFoQWgBaAFnwWeBZ4FnQWcBZwFmwWaBZoFmQWYBZgFlwWWBZYFlQWUBZMFkwWSBZEFkQWQBY8FjwWOBY0FjAWLBYsFigWJBYgFiAWHBYYFhQWFBYQFgwWCBYIFgQWABX8FfgV9BX0FfAV7BXoFeQV5BXgFdwV2BXUFdAVzBXMFcgVxBXAFbwVuBW4FbQVsBWsFagVpBWgFaAVnBWYFZQVkBWMFYgVhBWEFYAVfBV4FXQVcBVsFWgVZBVkFWAVXBVYFVQVUBVMFUgVRBVAFUAVPBU4FTQVMBUsFSgVJBUgFSAVHBUYFRQVEBUMFQgVBBUAFQAU/BT4FPQU8BTsFOgU5BTgFNwU3BTYFNQU0BTMFMgUxBTAFLwUvBS4FLQUsBSsFKgUqBSkFKAUnBSYFJQUkBSQFIwUiBSEFIAUfBR8FHgUdBRwFGwUbBRoFGQUZBRgFFwUWBRYFFQUUBRMFEwUSBREFEQUQBQ8FDwUOBQ4FDQUMBQwFCwULBQoFCgUJBQkFCAUIBQcFBwUGBQYFBQUFBQUFBAUEBQQFAwUDBQMFAgUCBQIFAQUBBQEFAQUBBQEFAQUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQEFAQUBBQEFAQUBBQIFAgUCBQIFAwUDBQMFBAUEBQQFBQUFBQUFBgUGBQcFBwUIBQgFCQUJBQoFCgULBQsFDAUMBQ0FDgUOBQ8FDwUQBREFEQUSBRIFEwUUBRQFFQUWBRYFFwUYBRgFGQUaBRoFGwUcBRwFHQUeBR4FHwUfBSAFIQUhBSIFIwUjBSQFJAUlBSYFJgUnBScFKAUoBSkFKQUqBSoFKwUrBSsFLAUsBS0FLQUtBS4FLgUuBS8FLwUvBS8FMAUwBTAFMAUwBTAFMQUxBTEFMQUxBTEFMQUxBTEFMQUxBTEFMQUxBTEFMQUxBTAFMAUwBTAFMAUvBS8FLwUvBS8FLgUuBS4FLQUtBS0FLAUsBSwFKwUrBSoFKgUqBSkFKQUoBSgFJwUnBSYFJgUmBSUFJAUkBSQFIwUjBSIFIgUhBSEFIAUfBR8FHgUeBR4FHQUdBRwFGwUbBRoFGgUaBRkFGQUYBRgFFwUXBRYFFgUVBRUFFAUUBRQFEwUTBRIFEgUSBREFEQUQBRAFEAUPBQ8FDwUOBQ4FDgUNBQ0FDQUNBQwFDAUMBQsFCwULBQsFCgUKBQoFCgUKBQoFCQUJBQkFCQUJBQkFCAUIBQgFCAUIBQgFCAUIBQgFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQgFCAUIBQgFCAUIBQgFCAUIBQgFCAUIBQgFCAUIBQgFCQUJBQkFCQUJBQkFCQUJBQkFCQUKBQoFCgUKBQoFCgUKBQoFCgULBQsFCwULBQsFCwULBQwFDAUMBQwFDAUNBQ0FDQUNBQ4FDgUOBQ4FDgUPBQ8FDwUPBRAFEAUQBREFEQURBRIFEgUSBRIFEwUTBRMFFAUUBRUFFQUVBRYFFgUXBRcFFwUYBRgFGQUZBRoFGgUbBRsFHAUcBR0FHQUeBR4FHwUfBSAFIQUhBSIFIgUjBSMFJAUlBSUFJgUnBScFKAUoBSkFKgUqBSsFLAUsBS0FLgUvBS8FMAUxBTEFMgUzBTMFNAU1BTYFNwU3BTgFOQU6BToFOwU8BT0FPQU+BT8FQAVABUEFQgVDBUQFRAVFBUYFRwVIBUkFSQVKBUsFTAVNBU0FTgVPBVAFUQVSBVMFUwVUBVUFVgVXBVgFWQVZBVoFWwVcBV0FXgVeBV8FYAVhBWIFYwVkBWUFZQVmBWcFaAVpBWoFawVsBW0FbQVuBW8FcAVxBXIFcwV0BXUFdgV2BXcFeAV5BXoFewV8BX0FfgV/BYAFgQWCBYMFhAWFBYYFhwWIBYgFigWLBYsFjAWOBY8FjwWQBZIFkwWUBZUFlgWXBZgFmQWaBZsFnAWdBZ4FnwWgBaEFogWjBaQFpQWnBagFqQWqBasFrAWtBa4FsAWxBbIFswW0BbUFtgW3BbkFugW7BbwFvQW+BcAFwQXCBcMFxAXFBcYFyAXJBcoFywXMBc0FzwXQBdEF0gXTBdUF1gXXBdgF2QXaBdsF3QXeBd8F4AXhBeIF4wXlBeYF5wXoBekF6gXrBewF7gXvBfAF8QXyBfMF9AX1BfYF9wX4BfoF+wX8Bf0F/gX/BgAGAQYCBgMGBAYFBgYGBwYIBgkGCQYKBgsGDAYNBg4GDwYQBhEGEgYSBhMGFAYVBhYGFwYXBhgGGQYaBhoGGwYcBh0GHQYeBh4GHwYgBiEGIQYiBiIGIwYkBiQGJQYlBiYGJgYnBicGKAYoBikGKQYpBioGKgYrBisGKwYsBiwGLAYtBi0GLQYtBi4GLgYuBi4GLgYvBi8GLwYvBi8GLwYvBi8GMAYwBjAGMAYwBjAGMAYwBjAGLwYvBi8GLwYvBi8GLwYvBi4GLgYuBi4GLgYtBi0GLQYtBiwGLAYsBisGKwYrBioGKgYqBikGKQYpBigGKAYnBicGJgYmBiYGJQYlBiQGJAYjBiMGIgYiBiEGIQYgBiAGHwYfBh4GHgYdBh0GHAYcBhsGGgYaBhkGGQYYBhgGFwYXBhYGFQYVBhQGFAYTBhMGEgYSBhEGEQYQBhAGDwYPBg4GDgYNBg0GDAYMBgwGCwYLBgoGCgYJBgkGCQYIBggGCAYHBgcGBgYGBgYGBQYFBgUGBQYEBgQGBAYEBgMGAwYDBgMGAgYCBgIGAgYCBgIGAQYBBgEGAQYBBgEGAQYBBgEGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABgEGAQYBBgEGAQYBBgEGAQYBBgEGAgYCBgIGAgYCBgIGAgYCBgMGAwYDBgMGAwYDBgQGBAYEBgQGBAYEBgUGBQYFBgUGBQYFBgYGBgYGBgYGBgYHBgcGBwYHBgcGBwYIBggGCAYIBggGCAYJBgkGCQYJBgkGCQYJBgkGCgYKBgoGCgYKBgoGCgYKBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYKBgoGCgYKBgoGCgYKBgoGCQYJBjgGOAY4BjgGOAY3BjcGNwY3BjcGNgY2BjYGNgY2BjYGNQY1BjUGNQY1BjQGNAY0BjQGNAYzBjMGMwYzBjMGMgYyBjIGMgYxBjEGMQYxBjEGMAYwBjAGMAYwBi8GLwYvBi8GLgYuBi4GLgYtBi0GLQYtBiwGLAYsBisGKwYrBisGKgYqBioGKQYpBikGKAYoBigGJwYnBicGJgYmBiYGJQYlBiQGJAYkBiMGIwYiBiIGIQYhBiEGIAYgBh8GHwYeBh4GHQYdBhwGHAYbBhsGGgYaBhkGGAYYBhcGFwYWBhYGFQYUBhQGEwYTBhIGEQYRBhAGEAYPBg4GDQYNBgwGDAYLBgoGCQYJBggGBwYHBgYGBQYFBgQGAwYDBgIGAQYABgAF/wX+Bf4F/QX8BfsF+wX6BfkF+AX4BfcF9gX2BfUF9AXzBfMF8gXxBfAF8AXvBe4F7QXtBewF6wXrBeoF6QXoBegF5wXmBeYF5QXkBeMF4wXiBeEF4QXgBd8F3gXeBd0F3AXbBdsF2gXZBdkF2AXXBdYF1gXVBdQF1AXTBdIF0QXRBdAFzwXOBc4FzQXMBcwFywXKBckFyQXIBccFxgXFBcUFxAXDBcIFwQXBBcAFvwW+Bb0FvQW8BbsFugW5BbgFuAW3BbYFtQW0BbMFsgWxBbAFsAWvBa4FrQWsBasFqgWpBagFpwWmBaUFpAWjBaIFoQWgBZ8FngWdBZwFmwWaBZkFmAWXBZYFlQWUBZMFkgWRBY8FjgWNBYwFiwWKBYkFiAWHBYYFhQWDBYIFgQWABX8FfgV9BXwFegV5BXgFdwV2BXUFdAVyBXEFcAVvBW4FbQVsBWoFaQVoBWcFZgVlBWQFYgVhBWAFXwVeBV0FXAVaBVkFWAVXBVYFVQVUBVIFUQVQBU8FTgVMBUsFSgVJBUgFRwVFBUQFQwVCBUEFQAU+BT0FPAU7BToFOAU3BTYFNAUzBTIFMQUwBS4FLQUsBSsFKQUoBScFJQUkBSMFIQUgBR8FHQUcBRsFGQUYBRcFFQUUBRMFEQUQBQ4FDQUMBQoFCQUIBQYFBQUDBQIFAQT/BP4E/AT7BPoE+AT3BPUE9ATzBPEE8ATvBO0E7ATrBOkE6ATnBOUE5ATjBOIE4ATfBN4E3QTcBNsE2gTZBNgE1wTWBNUE1ATTBNIE0QTQBM8EzwTOBM0EzATMBMsEywTKBMoEyQTJBMgEyATIBMgExwTHBMcExwTHBMcExwTHBMgEyATIBMgEyQTJBMoEygTLBMsEzATNBM4EzgTPBNAE0QTSBNME1ATVBNcE2ATZBNoE3ATdBN8E4ATiBOME5QTnBOgE6gTsBO0E7wTxBPME9QT3BPkE+wT9BP8FAQUDBQUFBwUJBQsFDQUPBREFEwUWBRgFGgUcBR4FIAUiBSQFJwUpBSsFLQUvBTEFMwU1BTcFOQU7BTwFPgVABUIFRAVFBUcFSQVLBUwFTgVPBVEFUgVUBVUFVgVXBVkFWgVbBVwFXQVeBV8FYAVgBWEFYgViBWMFZAVkBWUFZQVlBWUFZgVmBWYFZgVmBWYFZgVmBWYFZQVlBWUFZAVkBWMFYwViBWIFYQVgBWAFXwVeBV0FXAVcBVsFWgVZBVgFVgVVBVQFUwVSBVEFUAVOBU0FTAVLBUkFSAVHBUUFRAVCBUEFQAU+BT0FPAU6BTkFNwU2BTQFMwUyBTAFLwUuBSwFKwUpBSgFJwUlBSQFIwUhBSAFHwUeBRwFGwUaBRkFGAUWBRUFFAUTBRIFEQUQBQ8FDgUNBQwFCwUKBQkFCAUHBQYFBQUFBQQFAwUCBQIFAQUABP8E/wT+BP0E/QT8BPwE+wT6BPoE+QT5BPgE+AT3BPcE9gT2BPUE9QT0BPQE9ATzBPME8gTyBPEE8QTxBPAE8ATwBO8E7wTuBO4E7gTtBO0E7ATsBOwE6wTrBOsE6gTqBOkE6QTpBOgE6AToBOcE5wTnBOYE5gTlBOUE5ATkBOQE4wTjBOIE4gThBOEE4QTgBOAE3wTfBN4E3gTdBN0E3ATcBNwE2wTbBNoE2gTZBNkE2ATYBNcE1wTWBNYE1QTVBNQE1ATUBNME0wTSBNIE0QTRBNEE0ATQBM8EzwTPBM4EzgTOBM0EzQTMBMwEzATLBMsEywTLBMoEygTKBMoEyQTJBMkEyQTJBMgEyATIBMgEyATIBMgEyATIBMgExwTHBMcExwTIBMgEyATIBMgEyATIBMgEyATIBMkEyQTJBMkEygTKBMoEygTLBMsEywTMBMwEzATNBM0EzgTOBM8EzwTPBNAE0ATRBNEE0gTTBNME1ATUBNUE1QTWBNcE1wTYBNgE2QTaBNsE2wTcBN0E3QTeBN8E4ATgBOEE4gTjBOME5ATlBOYE5wTnBOgE6QTqBOsE6wTsBO0E7gTvBPAE8QTxBPIE8wT0BPUE9gT3BPgE+AT5BPoE+wT8BP0E/gT/BQAFAQUBBQIFAwUEBQUFBgUHBQgFCQUKBQsFDAUNBQ4FDgUPBRAFEQUSBRMFFAUVBRYFFwUYBRkFGgUbBRwFHQUeBR8FIAUiBSMFJAUlBSYFJwUoBSkFKgUrBS0FLgUvBTAFMQUzBTQFNQU2BTcFOQU6BTsFPQU+BUAFQQVCBUQFRQVHBUgFSQVLBUwFTgVQBVEFUwVUBVYFWAVZBVsFXQVeBWAFYgVjBWUFZwVpBWsFbQVuBXAFcgV0BXYFeAV6BXwFfgWABYIFhAWGBYgFigWMBY8FkQWTBZUFlwWaBZwFngWgBaIFpQWnBakFrAWuBbAFswW1BbcFuQW8Bb4FwQXDBcUFyAXKBc0FzwXRBdQF1gXZBdsF3QXgBeIF5QXnBekF7AXuBfAF8wX1BfcF+gX8Bf8GAQYDBgYGCAYKBgwGDwYRBhMGFgYYBhoGHAYfBiEGIwYlBicGKQYsBi4GMAYyBjQGNgY4BjoGPAY+BkAGQgZEBkYGSAZKBkwGTgZQBlIGUwZVBlcGWQZbBlwGXgZgBmEGYwZlBmYGaAZqBmsGbQZuBnAGcQZyBnQGdQZ3BngGeQZ7BnwGfQZ+BoAGgQaCBoMGhAaFBoYGhwaIBokGigaLBowGjQaOBo4GjwaQBpEGkQaSBpMGkwaUBpQGlQaVBpYGlgaWBpcGlwaXBpgGmAaYBpgGmAaYBpgGmAaYBpgGmAaYBpgGmAaYBpcGlwaXBpYGlgaVBpUGlAaUBpMGkwaSBpIGkQaQBpAGjwaOBo0GjAaLBosGigaJBogGhwaGBoUGgwaDBoEGgAZ/Bn4GfQZ7BnoGeQZ4BncGdQZ0BnMGcQZwBm8GbQZsBmsGaQZoBmcGZQZkBmIGYQZgBl4GXQZcBloGWQZYBlYGVQZUBlIGUQZQBk4GTQZMBksGSQZIBkcGRgZFBkMGQgZBBkAGPwY+Bj0GPAY7BjoGOQY4BjcGNgY1BjQGNAYzBjIGMQYxBjAGLwYuBi4GLQYtBiwGLAYrBisGKgYqBikGKQYpBigGKAYoBigGJwYnBicGJwYnBicGJgYmBiYGJgYmBiYGJgYmBicGJwYnBicGJwYnBicGKAYoBigGKAYoBikGKQYpBikGKgYqBioGKwYrBisGLAYsBiwGLQYtBi0GLgYuBi4GLwYvBjAGMAYwBjEGMQYxBjIGMgYyBjMGMwYzBjQGNAY0BjUGNQY1BjYGNgY2BjYGNwY3BjcGNwY4BjgGOAY5BjkGOQY5BjkGOQY6BjoGOgY6BjoGOgY6BjoGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjoGOgY6BjoGOgY6BjoGOgY6BjoGOQY5BjkGOQY5BjkGOQY4Bm8GbgZuBm0GbQZtBmwGbAZrBmsGawZqBmoGagZpBmkGaQZoBmgGaAZnBmcGZwZnBmYGZgZmBmYGZQZlBmUGZQZkBmQGZAZkBmQGYwZjBmMGYwZjBmIGYgZiBmIGYgZiBmEGYQZhBmEGYQZhBmEGYAZgBmAGYAZgBmAGXwZfBl8GXwZfBl4GXgZeBl4GXQZdBl0GXAZcBlwGXAZbBlsGWwZaBloGWgZZBlkGWAZYBlgGVwZXBlYGVgZVBlUGVAZUBlMGUgZSBlEGUQZQBk8GTwZOBk0GTQZMBksGSgZKBkkGSAZHBkcGRgZFBkQGQwZCBkEGQAZABj8GPgY9BjwGOwY6BjkGOAY3BjYGNQY0BjMGMgYxBjAGLgYtBiwGKwYqBikGKAYnBiYGJQYkBiIGIQYgBh8GHgYdBhwGGwYZBhgGFwYWBhUGFAYTBhEGEAYPBg4GDQYMBgsGCgYIBgcGBgYFBgQGAwYCBgEGAAX/Bf4F/QX8BfsF+gX4BfcF9gX1BfQF8wXyBfEF8AXvBe4F7QXsBesF6wXqBekF6AXnBeYF5QXkBeMF4gXhBeAF3wXeBd0F3AXbBdsF2gXZBdgF1wXWBdUF1AXTBdIF0QXQBc8FzgXOBc0FzAXLBcoFyQXIBccFxgXFBcQFwwXCBcEFwAW/Bb4FvQW8BbsFugW5BbgFtwW1BbQFswWyBbEFsAWvBa4FrQWsBaoFqQWoBacFpgWlBaMFogWhBaAFnwWeBZwFmwWaBZkFlwWWBZUFlAWTBZEFkAWPBY4FjQWLBYoFiQWIBYcFhQWEBYMFggWABX8FfgV9BXwFegV5BXgFdwV2BXUFcwVyBXEFcAVvBW4FbQVrBWoFaQVoBWcFZgVlBWQFYwViBWEFYAVeBV0FXAVbBVoFWQVYBVcFVgVVBVQFUwVSBVEFUAVPBU4FTQVMBUsFSQVIBUcFRgVFBUQFQwVCBUEFQAU/BT0FPAU7BToFOQU3BTYFNQU0BTMFMQUwBS8FLQUsBSoFKQUnBSYFJQUjBSIFIAUeBR0FGwUaBRgFFgUVBRMFEQUPBQ0FDAUKBQgFBgUEBQIFAAT+BPwE+gT4BPYE9ATyBPAE7gTsBOkE5wTlBOME4QTfBNwE2gTYBNYE1ATRBM8EzQTLBMkExwTFBMMEwAS+BLwEugS4BLYEtQSzBLEErwSuBKwEqgSpBKcEpgSkBKMEoQSgBJ8EngSdBJwEmwSaBJkEmQSYBJgElwSXBJcElgSWBJYElgSXBJcElwSYBJkEmQSaBJsEnASdBJ4EoAShBKIEpASmBKcEqQSrBK0EsASyBLQEtwS5BLwEvwTBBMQExwTKBM4E0QTUBNcE2wTeBOIE5QTpBO0E8QT0BPgE/AUABQQFCAUMBRAFFAUYBRwFIAUkBSgFLAUwBTQFOAU8BUAFRAVIBUwFUAVUBVgFWwVfBWMFZgVqBW0FcAVzBXcFegV9BYAFgwWFBYgFiwWNBY8FkgWUBZYFmAWaBZsFnQWeBaAFoQWiBaMFpAWlBaYFpgWnBacFpwWnBacFpwWnBacFpgWlBaUFpAWjBaIFoQWgBZ8FnQWcBZoFmAWXBZUFkwWRBY8FjQWLBYgFhgWEBYEFfwV8BXoFdwV0BXEFbwVsBWkFZgVjBWAFXQVaBVgFVQVRBU8FTAVJBUYFQwVABT0FOgU3BTQFMQUuBSsFKAUmBSMFIAUeBRsFGAUWBRMFEQUOBQwFCQUHBQUFAgUABP4E/AT6BPgE9gT0BPIE8ATvBO0E6wTqBOgE5wTlBOQE4gThBOAE3wTdBNwE2wTaBNkE2ATXBNYE1QTUBNME0wTSBNEE0ATQBM8EzgTOBM0EzQTMBMwEywTLBMoEygTJBMkEyATIBMcExwTHBMYExgTGBMUExQTEBMQExATDBMMEwwTCBMIEwQTBBMAEwATABL8EvwS+BL4EvgS9BL0EvAS7BLsEugS6BLkEuQS4BLgEtwS3BLYEtQS1BLQEtASzBLIEsgSxBLAEsASvBK4ErgStBKwErASrBKoEqgSpBKgEqASnBKYEpgSlBKQEpASjBKIEoQShBKAEoASfBJ4EngSdBJ0EnASbBJsEmgSaBJkEmQSYBJgElwSXBJYElgSVBJUElQSUBJQElASTBJMEkgSSBJIEkgSRBJEEkQSRBJEEkQSQBJAEkASQBJAEkASQBJAEkASQBJAEkASQBJAEkQSRBJEEkQSRBJEEkQSSBJIEkgSTBJMEkwSUBJQElASVBJUElQSWBJYElwSXBJgEmASZBJkEmgSaBJsEnAScBJ0EnQSeBJ8EnwSgBKEEoQSiBKMEowSkBKUEpgSmBKcEqASpBKoEqgSrBKwErQSuBK4ErwSwBLEEsgSzBLMEtAS1BLYEtwS4BLkEugS6BLsEvAS9BL4EvwTABMEEwgTDBMQExATFBMYExwTIBMkEygTLBMwEzQTOBM4EzwTQBNEE0gTTBNQE1ATVBNYE1wTYBNkE2gTbBNsE3ATdBN4E3wTgBOAE4QTiBOME5ATlBOYE5wTnBOgE6QTqBOsE7ATtBO4E7wTwBPAE8QTyBPME9AT1BPYE9wT4BPkE+gT7BP0E/gT/BQAFAQUCBQQFBQUGBQcFCQUKBQsFDQUOBRAFEQUTBRQFFgUXBRkFGwUdBR4FIAUiBSQFJgUoBSoFKwUuBTAFMgU0BTYFOAU7BT0FPwVCBUQFRwVJBUwFTgVRBVMFVgVZBVwFXgVhBWQFZwVqBW0FcAVzBXYFeQV8BX8FggWFBYgFjAWPBZIFlQWZBZwFnwWjBaYFqQWtBbAFtAW3BboFvgXBBcUFyAXMBc8F0gXWBdkF3QXgBeMF5wXqBe4F8QX0BfgF+wX/BgIGBQYJBgwGDwYTBhYGGQYcBiAGIwYmBikGLAYvBjIGNQY5BjsGPgZBBkUGRwZKBk0GUAZTBlYGWQZbBl4GYQZkBmcGaQZsBm8GcQZ0BncGeQZ8Bn4GgQaDBoYGiAaLBo0GjwaSBpQGlwaZBpsGnQagBqIGpAamBqkGqwatBq8GsQazBrUGtwa6BrwGvQa/BsEGwwbFBscGyQbLBs0GzgbQBtIG0wbVBtYG2AbaBtsG3QbeBt8G4QbiBuQG5QbmBucG6AbpBuoG6wbsBu0G7gbvBvAG8AbxBvIG8gbzBvMG9Ab0BvQG9Ab1BvUG9Qb1BvUG9Qb0BvQG9Ab0BvMG8wbyBvIG8QbwBu8G7wbuBu0G7AbrBuoG6QboBuYG5QbkBuIG4QbfBt4G3AbbBtkG1wbWBtQG0gbQBs4GzQbLBskGxwbFBsMGwAa+BrwGuga4BrYGtAayBq8GrQarBqkGpwakBqIGoAaeBpwGmgaYBpUGkwaRBo8GjQaLBokGhwaFBoMGgQaABn4GfAZ6BngGdwZ1BnMGcgZwBm8GbQZsBmsGaQZoBmcGZgZlBmQGYwZiBmEGYAZfBl4GXgZdBlwGWwZbBloGWgZaBlkGWQZZBlkGWAZYBlgGWAZYBlgGWAZYBlgGWQZZBlkGWQZaBloGWgZbBlsGXAZcBl0GXQZeBl4GXwZgBmAGYQZiBmIGYwZkBmQGZQZmBmcGZwZoBmkGagZqBmsGbAZsBm0GbgZvBm8GcAZxBnIGcgZzBnMGdAZ1BnUGdgZ3BncGeAZ4BnkGeQZ6BnoGegZ7BnsGfAZ8BnwGfQZ9Bn0GfQZ+Bn4GfgZ+Bn8GfwZ/Bn8GfwZ/Bn8GfwZ/Bn8GfwZ/Bn8GfgZ+Bn4GfgZ+Bn4GfQZ9Bn0GfQZ8BnwGfAZ7BnsGewZ6BnoGegZ5BnkGeQZ4BngGdwZ3BnYGdgZ2BnUGdQZ0BnQGcwZzBnIGcgZyBnEGcQZwBnAGbwZvBqgGpwanBqYGpQalBqQGpAajBqMGogahBqEGoAagBp8GnwaeBp4GnQadBp0GnAacBpwGmwabBpsGmgaaBpoGmgaZBpkGmQaZBpkGmAaYBpgGmAaYBpgGlwaXBpcGlwaXBpcGlwaWBpYGlgaWBpYGlgaWBpYGlgaVBpUGlQaVBpUGlQaVBpQGlAaUBpQGlAaUBpMGkwaTBpMGkgaSBpIGkgaRBpEGkQaQBpAGkAaPBo8GjgaOBo0GjQaMBowGiwaLBooGigaJBokGiAaHBoYGhgaFBoQGhAaDBoIGgQaBBoAGfwZ+Bn0GfAZ7BnoGeQZ4BncGdgZ1BnQGcwZyBnEGcAZvBm0GbAZrBmoGaQZoBmYGZQZkBmIGYQZgBl8GXQZcBloGWQZYBlYGVQZTBlIGUQZPBk4GTAZLBkkGSAZHBkUGRAZCBkEGPwY+BjwGOwY5BjgGNgY1BjMGMgYwBi8GLQYsBioGKQYnBiYGJAYjBiEGIAYeBh0GHAYaBhkGFwYWBhUGEwYSBhAGDwYOBgwGCwYKBgkGBwYGBgUGBAYCBgEGAAX/Bf0F/AX7BfoF+AX3BfYF9QX0BfMF8gXwBe8F7gXtBewF6wXqBekF5wXmBeUF5AXjBeIF4QXgBd8F3gXdBdsF2gXZBdgF1wXWBdUF1AXTBdIF0AXPBc4FzQXMBcsFyQXIBccFxgXFBcMFwgXBBcAFvgW9BbwFuwW5BbgFtwW1BbQFswWxBbAFrwWtBawFqwWpBagFpwWlBaQFogWhBaAFngWdBZsFmgWYBZcFlgWUBZMFkQWQBY8FjQWMBYoFiQWIBYYFhQWDBYIFgQV/BX4FfQV7BXoFeQV4BXYFdQV0BXIFcQVwBW8FbgVtBWsFagVpBWgFZwVmBWUFZAVjBWIFYQVgBV8FXgVdBVwFWwVaBVkFWAVXBVYFVQVVBVQFUwVSBVEFUAVQBU8FTgVNBUwFSwVLBUoFSQVIBUcFRgVFBUQFRAVDBUIFQQVABT8FPgU9BTwFOwU5BTgFNwU2BTUFMwUyBTEFLwUuBS0FKwUqBSgFJgUlBSMFIQUgBR4FHAUaBRgFFgUUBRIFEAUOBQsFCQUHBQQFAgT/BP0E+gT4BPUE8gTvBO0E6gTnBOQE4QTeBNsE2ATVBNIEzwTMBMkExgTDBMAEvQS6BLcEtASxBK4EqwSoBKUEogSfBJwEmQSWBJQEkQSPBIwEigSHBIUEgwSBBH8EfQR7BHkEeAR2BHUEdARzBHIEcQRwBG8EbwRvBG8EbwRvBG8EbwRwBHEEcgRzBHQEdQR3BHgEegR8BH8EgQSEBIYEiQSMBI8EkwSWBJoEnQShBKUEqgSuBLIEtwS7BMAExQTKBM8E1QTaBN8E5QTqBPAE9gT7BQEFBwUNBRMFGQUeBSQFKgUwBTYFPAVCBUgFTQVTBVkFXgVkBWkFbgVzBXkFfgWCBYcFjAWQBZUFmQWdBaEFpQWoBawFrwWyBbUFuAW6Bb0FvwXBBcIFxAXFBcYFxwXIBckFyQXJBckFyQXIBcgFxwXGBcUFwwXBBcAFvgW8BbkFtwW0BbEFrgWrBagFpAWhBZ0FmQWVBZEFjQWJBYQFgAV7BXcFcgVtBWgFYwVeBVkFVAVPBUoFRQVABTsFNgUxBSwFJwUiBR0FGAUTBQ4FCQUEBP8E+wT2BPEE7QToBOQE4ATcBNgE1ATQBMwEyATEBMEEvgS6BLcEtASxBK4EqwSoBKYEowShBJ8EnQSaBJgElgSVBJMEkQSQBI4EjQSMBIsEigSJBIgEhwSGBIYEhQSEBIQEhASDBIMEgwSCBIIEggSCBIIEggSCBIIEggSCBIIEgwSDBIMEgwSDBIQEhASEBIQEhASFBIUEhQSFBIYEhgSGBIYEhgSHBIcEhwSHBIcEhwSHBIcEhwSHBIcEhwSHBIcEhwSHBIcEhgSGBIYEhgSFBIUEhQSFBIQEhASEBIMEgwSDBIIEggSBBIEEgASABIAEfwR/BH4EfgR9BH0EfAR8BHsEewR7BHoEegR5BHkEeAR4BHgEdwR3BHcEdgR2BHYEdgR1BHUEdQR1BHUEdQR0BHQEdAR0BHQEdAR0BHQEdQR1BHUEdQR1BHUEdgR2BHYEdwR3BHcEeAR4BHgEeQR5BHoEegR7BHsEfAR8BH0EfgR+BH8EgASABIEEggSCBIMEhASEBIUEhgSHBIcEiASJBIoEiwSLBIwEjQSOBI4EjwSQBJEEkgSSBJMElASVBJYElgSXBJgEmQSaBJoEmwScBJ0EngSfBJ8EoAShBKIEowSjBKQEpQSmBKcEpwSoBKkEqgSrBKsErAStBK4ErwSwBLEEsQSyBLMEtAS1BLYEtwS4BLkEugS6BLsEvAS9BL4EvwTABMEEwgTDBMQExQTGBMcEyATJBMoEywTMBM0EzwTPBNEE0gTTBNQE1QTWBNcE2ATZBNoE3ATdBN4E3wTgBOEE4gTjBOQE5QTmBOcE6ATpBOoE6wTsBO0E7gTvBPAE8QTyBPME9AT1BPYE9wT4BPkE+QT6BPsE/AT9BP4E/gT/BQAFAQUCBQIFAwUEBQUFBQUGBQcFCAUJBQkFCgULBQwFDQUOBQ4FDwUQBREFEgUTBRQFFQUWBRcFGAUZBRoFGwUcBR4FHwUgBSEFIwUkBSYFJwUoBSoFLAUtBS8FMQUzBTUFNwU4BTsFPQU/BUEFQwVFBUgFSgVNBU8FUgVVBVcFWgVdBWAFYgVlBWkFbAVvBXIFdQV4BXwFfwWCBYYFiQWNBZAFlAWXBZsFnwWiBaYFqgWtBbEFtQW5Bb0FwQXEBcgFzAXQBdQF1wXbBd8F4wXnBesF7gXyBfYF+gX9BgEGBQYIBgwGEAYTBhcGGgYeBiEGJQYoBiwGLwYyBjUGOQY8Bj8GQgZFBkgGSwZOBlEGVAZXBloGXQZgBmIGZQZoBmoGbQZwBnIGdQZ3BnoGfAZ/BoEGhAaGBokGiwaNBpAGkgaVBpcGmQacBp4GoAajBqUGpwaqBqwGrgaxBrMGtQa3BroGvAa/BsEGwwbGBsgGygbNBs8G0QbUBtYG2QbbBt4G4AbiBuUG5wbpBuwG7gbwBvMG9Qb3BvoG/Ab+BwAHAwcFBwcHCQcLBw0HDwcRBxMHFQcXBxkHGgccBx4HHwchByIHJAclByYHJwcoBykHKgcrBywHLQcuBy4HLwcvBy8HMAcwBzAHMAcwBy8HLwcvBy4HLgctBywHKwcrByoHKQcnByYHJQcjByIHIAcfBx0HGwcZBxgHFgcTBxEHDwcNBwsHCAcGBwMHAQb/BvwG+Qb3BvQG8gbvBuwG6gbnBuQG4QbfBtwG2QbXBtQG0QbOBswGyQbHBsQGwga/Br0Guga4BrUGswaxBq8GrQarBqkGpwalBqMGoQafBp4GnAabBpkGmAaXBpYGlAaTBpIGkgaRBpAGjwaPBo4GjgaNBo0GjQaMBowGjAaMBowGjAaNBo0GjQaOBo4GjwaPBpAGkAaRBpIGkwaTBpQGlQaWBpcGmAaZBpsGnAadBp4GnwagBqIGowakBqUGpgaoBqkGqgasBq0GrgavBrEGsgazBrUGtga3BrgGuQa7BrwGvQa+Br8GwAbBBsIGwwbEBsUGxgbHBscGyAbJBsoGygbLBswGzAbNBs0GzgbOBs4GzwbPBs8GzwbQBtAG0AbQBtAG0AbQBtAG0AbQBs8GzwbPBs8GzgbOBs4GzQbNBs0GzAbMBssGywbKBskGyQbIBscGxwbGBsUGxQbEBsMGwgbBBsEGwAa/Br4GvQa9BrwGuwa6BrkGuAa3BrcGtga1BrQGswayBrIGsQawBq8GrgatBq0GrAarBqoGqgapBuMG4wbiBuEG4QbgBuAG3wbfBt4G3gbeBt0G3QbcBtwG3AbbBtsG2gbaBtoG2QbZBtkG2QbYBtgG2AbYBtcG1wbXBtcG1gbWBtYG1gbWBtUG1QbVBtUG1QbUBtQG1AbUBtQG0wbTBtMG0wbSBtIG0gbRBtEG0QbRBtAG0AbQBs8GzwbPBs4GzgbOBs0GzQbMBswGzAbLBssGygbKBskGyQbIBsgGxwbHBsYGxgbFBsUGxAbEBsMGwwbCBsEGwQbABr8Gvwa+Br4GvQa8BrwGuwa6BroGuQa4BrgGtwa2BrUGtQa0BrMGswayBrEGsAavBq4GrgatBqwGqwaqBqkGqQanBqcGpgalBqQGowaiBqEGoAafBp0GnAabBpoGmQaYBpcGlQaUBpMGkgaQBo8GjgaMBosGigaIBocGhQaEBoIGgQZ/Bn4GfAZ6BnkGdwZ2BnQGcgZxBm8GbQZrBmoGaAZmBmQGYwZhBl8GXQZbBloGWAZWBlQGUgZRBk8GTQZLBkkGSAZGBkQGQgZABj4GPQY7BjkGNwY2BjQGMgYxBi8GLQYsBioGKAYnBiUGIwYiBiAGHwYdBhwGGgYYBhcGFQYUBhMGEQYQBg4GDQYMBgoGCQYHBgYGBQYDBgIGAQX/Bf4F/QX7BfoF+QX3BfYF9QXzBfIF8QXvBe4F7QXrBeoF6QXnBeYF5QXjBeIF4AXfBd0F3AXaBdkF2AXWBdUF0wXSBdAFzgXNBcsFygXIBcYFxQXDBcEFwAW+Bb0FuwW5BbcFtgW0BbIFsAWvBa0FqwWpBacFpQWkBaIFoAWeBZwFmgWYBZcFlQWTBZEFjwWNBYwFigWIBYYFhAWCBYEFfwV9BXsFeQV4BXYFdAVyBXEFbwVtBWwFagVoBWYFZQVjBWIFYAVfBV0FXAVaBVkFVwVWBVQFUwVSBVAFTwVOBUwFSwVKBUkFSAVGBUUFRAVDBUIFQQVABT8FPgU9BTwFOwU6BTkFOAU4BTcFNgU1BTQFMwUzBTIFMQUwBS8FLgUuBS0FLAUrBSoFKQUoBScFJwUmBSQFIwUiBSEFIAUfBR4FHQUbBRoFGQUXBRYFFAUTBREFDwUOBQwFCgUIBQYFBAUCBQAE/gT7BPkE9gT0BPEE7wTsBOkE5gTkBOAE3QTaBNcE1ATRBM0EygTHBMMEwAS8BLkEtQSyBK4EqgSnBKMEnwScBJgElASRBI0EigSGBIMEfwR8BHkEdQRyBG8EbARpBGcEZARiBF8EXQRbBFkEVwRVBFQEUgRRBFAETwRPBE4ETgROBE4ETgRPBFAEUQRSBFMEVQRXBFkEXAReBGEEZARnBGsEbgRyBHcEewR/BIQEiQSOBJQEmQSfBKUEqgSxBLcEvQTEBMsE0QTYBN8E5gTtBPUE/AUDBQoFEgUZBSAFJwUvBTYFPQVEBUsFUgVZBV8FZgVsBXIFeAV+BYQFiQWPBZQFmQWdBaIFpgWqBa0FsQW0BbcFuQW8Bb4FwAXBBcIFwwXDBcQFwwXDBcIFwQXABb4FvAW6BbgFtQWyBa8FqwWnBaMFnwWaBZUFkAWLBYUFgAV6BXQFbgVnBWEFWgVTBUwFRQU+BTcFMAUoBSEFGgUSBQsFAwT8BPQE7QTlBN4E1wTPBMgEwQS6BLMErASmBJ8EmQSSBIwEhgSABHoEdQRvBGoEZQRgBFsEVwRSBE4ESgRHBEMEQAQ8BDkENgQ0BDEELwQtBCsEKQQoBCYEJQQkBCMEIgQhBCEEIQQgBCAEIAQgBCEEIQQiBCIEIwQkBCUEJgQnBCgEKQQqBCwELQQuBDAEMQQzBDUENgQ4BDkEOwQ8BD4EQARBBEMERARGBEcESQRKBEsETQROBE8EUQRSBFMEVARVBFYEVwRYBFkEWgRbBFsEXARcBF0EXgReBF4EXwRfBF8EXwRgBGAEYARgBGAEYARgBGAEXwRfBF8EXwRfBF4EXgReBF4EXQRdBFwEXARcBFsEWwRbBFsEWgRaBFoEWQRZBFkEWQRYBFgEWARYBFgEWARYBFgEWARYBFgEWARYBFkEWQRZBFoEWgRbBFsEXARcBF0EXgReBF8EYARhBGIEYwRkBGUEZgRnBGgEagRrBGwEbgRvBHAEcgR0BHUEdwR4BHoEewR9BH8EgASCBIQEhQSHBIkEiwSMBI4EkASSBJMElQSXBJkEmgScBJ4EnwShBKMEpASmBKcEqQSqBKwErQSvBLAEsgSzBLQEtgS3BLgEuQS6BLwEvQS+BL8EwATBBMIEwwTEBMUExgTGBMcEyATJBMkEygTLBMsEzATNBM0EzgTPBM8E0ATQBNEE0gTSBNME0wTUBNQE1QTWBNYE1wTYBNgE2QTaBNoE2wTcBN0E3QTeBN8E4AThBOIE4wTkBOUE5gTnBOgE6QTqBOwE7QTuBPAE8QTyBPQE9QT2BPgE+QT7BP0E/gUABQEFAwUFBQYFCAUKBQwFDQUPBREFEgUUBRYFGAUaBRsFHQUfBSEFIgUkBSYFJwUpBSsFLAUuBS8FMQUyBTQFNQU3BTgFOQU7BTwFPQU+BUAFQQVCBUMFRAVFBUYFRwVIBUgFSQVKBUsFTAVMBU0FTgVOBU8FUAVQBVEFUQVSBVIFUwVTBVQFVAVVBVUFVgVXBVcFWAVYBVkFWgVaBVsFXAVdBV0FXgVfBWAFYQViBWQFZQVmBWcFaQVqBWwFbQVvBXAFcgV0BXYFeAV6BXwFfgWABYMFhQWHBYoFjQWPBZIFlQWYBZsFngWhBaQFpwWqBa0FsQW0BbcFuwW+BcIFxQXJBc0F0AXUBdgF2wXfBeMF5gXqBe4F8gX2BfkF/QYBBgQGCAYMBg8GEwYWBhoGHQYhBiQGJwYrBi4GMQY0BjgGOwY+BkEGRAZGBkkGTAZPBlEGVAZXBlkGWwZeBmAGYwZlBmcGaQZrBm0GcAZyBnMGdQZ3BnkGewZ9Bn8GgQaCBoQGhgaIBokGiwaNBo4GkAaSBpQGlQaXBpkGmwadBp8GoQajBqQGpgapBqsGrQavBrEGswa2BrgGuga9Br8GwgbEBscGygbMBs8G0gbVBtcG2gbdBuAG4wbmBukG7QbwBvMG9gb5BvwHAAcDBwYHCQcMBxAHEwcWBxkHHAcfByIHJQcoBysHLgcxBzQHNwc5BzwHPwdBB0MHRgdIB0oHTAdOB1AHUQdTB1QHVgdXB1gHWQdaB1sHXAdcB10HXQddB10HXQddB10HXAdcB1sHWgdZB1gHVwdWB1QHUwdRB08HTgdMB0oHSAdFB0MHQQc+BzwHOQc3BzQHMQcvBywHKQcmByMHIAcdBxoHFwcUBxEHDgcLBwgHBgcDBwAG/Qb6BvcG9QbyBu8G7QbqBugG5QbjBuEG3gbcBtoG2AbWBtUG0wbRBtAGzgbNBswGywbKBskGyAbHBsYGxgbFBsUGxQbFBsQGxAbEBsUGxQbFBsUGxgbGBscGxwbIBskGygbLBswGzQbOBs8G0AbRBtMG1AbVBtYG2AbZBtsG3AbeBt8G4QbiBuQG5QbnBugG6gbrBu0G7gbwBvEG8wb0BvYG9wb4BvoG+wb8Bv4G/wcABwEHAgcEBwUHBgcHBwgHCQcKBwoHCwcMBw0HDgcOBw8HDwcQBxAHEQcRBxIHEgcSBxIHEwcTBxMHEwcTBxMHEwcTBxMHEwcTBxIHEgcSBxIHEQcRBxEHEAcQBw8HDwcOBw4HDQcNBwwHCwcKBwoHCQcIBwgHBwcGBwUHBQcEBwMHAgcBBwAG/wb/Bv4G/Qb8BvsG+gb5BvgG9wb3BvYG9Qb0BvMG8gbxBvAG8AbvBu4G7QbsBuwG6wbqBukG6QboBucG5wbmBuUG5QbkByQHJAckByQHJAckByQHJAckByQHJAckByMHIwcjByMHIwcjByMHIwcjByMHIwcjByMHIwcjByIHIgciByIHIgciByEHIQchByEHIAcgByAHHwcfBx8HHgceBx0HHQccBxwHGwcaBxoHGQcYBxgHFwcWBxUHFQcUBxMHEgcRBxAHDwcPBw4HDQcMBwsHCgcJBwgHBwcGBwUHAwcCBwEHAAb/Bv4G/Qb8BvsG+gb5BvgG9wb2BvUG9AbzBvIG8QbwBu8G7wbuBu0G7AbrBusG6gbpBugG6AbnBuYG5gblBuQG5AbjBuMG4gbiBuEG4QbgBuAG3wbfBt4G3gbdBt0G3AbcBtsG2wbaBtoG2QbZBtgG2AbXBtcG1gbWBtUG1AbUBtMG0gbRBtAG0AbPBs4GzQbMBssGygbJBsgGxwbFBsQGwwbCBsAGvwa9BrwGuga5BrcGtQa0BrIGsAauBqwGqwapBqcGpQajBqEGnwacBpoGmAaWBpQGkgaQBo0GiwaJBoYGhAaCBoAGfQZ7BnkGdwZ0BnIGcAZtBmsGaQZnBmQGYgZgBl4GXAZaBlgGVQZTBlEGTwZNBksGSQZHBkUGQwZCBkAGPgY8BjoGOAY3BjUGMwYxBjAGLgYsBisGKQYnBiYGJAYiBiEGHwYeBhwGGgYZBhcGFgYUBhIGEQYPBg0GDAYKBgkGBwYFBgQGAgYABf8F/QX7BfkF9wX2BfQF8gXwBe8F7QXrBekF5wXlBeMF4QXfBd0F2wXZBdcF1QXTBdEFzwXNBcsFyQXHBcUFwwXBBb4FvAW6BbgFtgW0BbEFrwWtBasFqQWmBaQFogWgBZ0FmwWZBZcFlAWSBZAFjQWLBYkFhgWEBYIFfwV9BXsFeAV2BXQFcQVvBW0FagVoBWYFYwVhBV8FXAVaBVgFVQVTBVEFTwVMBUoFSAVGBUQFQQU/BT0FOwU5BTcFNQUzBTEFLwUtBSsFKgUoBSYFJAUjBSEFHwUeBRwFGwUaBRgFFwUWBRQFEwUSBREFEAUOBQ4FDQUMBQsFCgUJBQgFBwUHBQYFBQUFBQQFAwUCBQIFAQUBBQAFAAT/BP4E/gT9BPwE/AT7BPoE+QT5BPgE9wT2BPUE9ATzBPIE8ATvBO4E7ATrBOkE6ATmBOQE4gTgBN4E3ATZBNcE1ATSBM8EzATJBMYEwwTABL0EugS2BLMErwSsBKgEpASgBJ0EmQSVBJEEjQSJBIUEgQR9BHkEdQRxBG0EaQRlBGIEXgRaBFcEUwRQBE0ESgRHBEUEQgRABD4EPAQ6BDkENwQ2BDUENQQ1BDQENQQ1BDYENwQ4BDoEPAQ+BEAEQwRGBEkETQRRBFUEWQReBGMEaARuBHQEegSABIcEjQSUBJsEowSqBLIEugTCBMoE0gTaBOIE6wTzBPsFBAUMBRQFHQUlBS0FNQU9BUUFTAVUBVsFYgVpBW8FdgV8BYIFhwWMBZEFlgWaBZ4FoQWkBacFqQWrBa0FrgWuBa8FrwWuBa0FrAWqBagFpQWiBZ8FmwWXBZIFjQWIBYIFfAV2BW8FaQVhBVoFUgVKBUIFOQUxBSgFHwUWBQ0FAwT6BPAE5gTdBNMEyQS/BLYErASiBJkEjwSGBH0EcwRqBGIEWQRQBEgEQAQ4BDAEKQQhBBoEFAQNBAcEAQP7A/YD8QPsA+cD4wPfA9wD2APVA9ID0APNA8wDygPIA8cDxgPGA8UDxQPFA8UDxgPGA8cDyQPKA8sDzQPPA9ED0wPVA9gD2gPdA98D4gPlA+gD6wPuA/ED9AP3A/sD/gQBBAQECAQLBA4EEQQUBBgEGwQeBCEEJAQnBCkELAQvBDEENAQ2BDkEOwQ9BEAEQgRDBEUERwRJBEoETARNBE4EUARRBFIEUwRUBFQEVQRWBFYEVwRXBFcEWARYBFgEWARYBFgEWARXBFcEVwRXBFYEVgRWBFUEVQRUBFMEUwRSBFIEUQRRBFAEUARPBE8ETgROBE0ETQRMBEwESwRLBEsESgRKBEoESgRKBEoESgRKBEoESgRLBEsESwRMBEwETQROBE4ETwRQBFEEUgRTBFQEVQRWBFcEWQRaBFwEXQRfBGEEYgRkBGYEaARqBGwEbgRwBHIEdAR3BHkEewR9BIAEggSFBIcEiQSMBI4EkQSTBJYEmASbBJ0EoASiBKQEpwSpBKsErgSwBLIEtQS3BLkEuwS9BL8EwQTDBMUExwTJBMsEzATOBNAE0QTTBNQE1QTXBNgE2QTaBNsE3ATdBN4E3wTgBOEE4QTiBOME4wTkBOQE5QTlBOUE5gTmBOcE5wTnBOcE5wToBOgE6AToBOgE6AToBOkE6QTpBOkE6QTqBOoE6gTrBOsE6wTsBOwE7QTtBO4E7gTvBPAE8QTyBPIE9AT1BPYE9wT4BPkE+wT8BP4E/wUBBQMFBAUGBQgFCgUMBQ4FEAUSBRUFFwUZBRwFHgUhBSMFJgUpBSsFLgUxBTMFNgU5BTwFPgVBBUQFRwVJBUwFTwVSBVQFVwVaBVwFXwVhBWQFZgVpBWsFbgVwBXIFdAV2BXgFegV8BX4FfwWBBYIFhAWFBYcFiAWJBYoFiwWMBY0FjgWPBY8FkAWQBZEFkQWSBZIFkgWSBZIFkwWTBZMFkwWTBZMFkwWSBZIFkgWSBZIFkgWSBZIFkgWSBZIFkgWSBZIFkgWTBZMFkwWUBZQFlQWVBZYFlwWYBZgFmgWbBZwFnQWeBaAFoQWjBaQFpgWoBaoFrAWuBbAFswW1BbcFugW9Bb8FwgXFBcgFygXNBdEF1AXXBdoF3QXhBeQF5wXrBe4F8QX1BfgF/AX/BgMGBgYJBg0GEAYUBhcGGwYeBiEGJQYoBisGLgYxBjQGNwY6Bj0GQAZDBkYGSAZLBk4GUAZSBlUGVwZZBlwGXgZgBmIGZAZmBmgGagZsBm0GbwZxBnIGdAZ2BncGeQZ6BnwGfQZ/BoAGggaDBoQGhgaHBokGigaMBo0GjwaRBpIGlAaWBpgGmgabBp0GnwahBqQGpgaoBqoGrQavBrIGtQa3BroGvQbABsMGxgbKBs0G0AbUBtcG2wbeBuIG5gbqBu4G8gb2BvoG/gcCBwcHCwcPBxMHGAccByAHJQcpBy4HMgc2BzoHPwdDB0cHSwdPB1MHVwdbB18HYwdmB2oHbQdxB3QHdwd6B30HgAeCB4UHhweJB4sHjQePB5AHkgeTB5QHlQeWB5YHlweXB5cHlweXB5YHlgeVB5QHkweSB5EHjweOB4wHigeIB4YHhAeCB4AHfQd7B3gHdQdzB3AHbQdqB2cHZAdhB14HWwdYB1QHUQdOB0sHSAdFB0IHPwc8BzkHNwc0BzEHLwcsByoHJwclByMHIQcfBx0HGwcZBxgHFgcVBxMHEgcRBxAHDwcOBw4HDQcNBwwHDAcMBwwHDAcMBwwHDAcNBw0HDgcOBw8HEAcQBxEHEgcTBxQHFQcWBxcHGQcaBxsHHAcdBx8HIAchByIHJAclByYHKAcpByoHKwcsBy4HLwcwBzEHMgczBzQHNQc2BzcHOAc5BzoHOgc7BzwHPAc9Bz4HPgc/Bz8HQAdAB0EHQQdBB0EHQgdCB0IHQgdCB0IHQgdCB0IHQgdCB0IHQgdCB0IHQgdCB0IHQQdBB0EHQQdAB0AHQAdABz8HPwc/Bz4HPgc+Bz0HPQc8BzwHPAc7BzsHOgc6BzoHOQc5BzgHOAc4BzcHNwc2BzYHNQc1BzQHNAczBzMHMgcyBzIHMQcxBzAHMAcvBy8HLgcuBy0HLQctBywHLAcrBysHKgcqByoHKQcpBykHKAcoBygHJwcnBycHJwcmByYHJgcmByYHJQclByUHJQclB2kHagdqB2oHagdrB2sHawdrB2wHbAdsB2wHbAdtB20HbQdtB24HbgduB24HbgduB24HbwdvB28HbwdvB24HbgduB24HbgdtB20HbQdsB2wHawdrB2oHaQdpB2gHZwdmB2UHZAdkB2IHYQdgB18HXgddB1sHWgdZB1cHVgdUB1MHUQdQB04HTAdLB0kHSAdGB0QHQwdBBz8HPgc8BzoHOQc3BzUHNAcyBzEHLwcuBywHKwcpBygHJgclByQHIgchByAHHwceBx0HHAcbBxoHGQcYBxcHFwcWBxUHFQcUBxMHEwcSBxIHEQcRBxEHEAcQBxAHEAcQBw8HDwcPBw8HDwcPBw8HDwcOBw4HDgcOBw4HDgcOBw4HDQcNBw0HDQcMBwwHDAcLBwsHCgcKBwkHCAcIBwcHBgcFBwUHAwcCBwEHAAb/Bv4G/Ab7BvkG+Ab2BvQG8gbxBu8G7QbrBukG5wblBuIG4AbeBtsG2QbWBtQG0QbPBswGygbHBsQGwga/BrwGuQa3BrQGsQauBqwGqQamBqQGoQaeBpwGmQaWBpQGkQaPBowGigaHBoUGgwaABn4GfAZ6BncGdQZzBnEGbwZtBmsGaQZnBmUGYwZhBmAGXgZcBloGWQZXBlUGUwZRBlAGTgZMBkoGSQZHBkUGQwZBBj8GPgY8BjoGOAY2BjQGMgYwBi4GLAYqBigGJQYjBiEGHwYdBhoGGAYVBhMGEQYOBgwGCQYHBgUGAgYABf0F+wX4BfYF8wXwBe4F6wXpBeYF5AXhBd8F3AXaBdcF1QXSBdAFzQXLBckFxgXEBcIFvwW9BbsFuAW2BbQFsQWvBa0FqwWoBaYFpAWiBaAFnQWbBZkFlwWUBZIFkAWOBYsFiQWHBYUFggWABX4FewV5BXYFdAVyBW8FbQVqBWcFZQViBWAFXQVaBVgFVQVSBVAFTQVKBUcFRQVCBT8FPAU6BTcFNAUxBS8FLAUpBSYFJAUhBR4FHAUZBRcFFAUSBQ8FDQUKBQgFBgUEBQEE/wT9BPsE+QT4BPYE9ATyBPEE8ATuBO0E6wTqBOkE6ATnBOYE5QTkBOQE4wTiBOIE4QThBOAE4ATfBN8E3wTfBN4E3gTeBN4E3QTdBN0E3QTcBNwE3ATcBNsE2wTaBNoE2QTYBNgE1wTWBNUE0wTSBNEEzwTOBMwEygTIBMYExATCBL8EvAS6BLcEtASxBK0EqgSmBKMEnwSbBJcEkwSPBIoEhgSCBH0EeQR0BG8EawRmBGIEXQRZBFQEUARLBEcEQwQ/BDsENwQzBDAELQQpBCcEJAQiBCAEHgQcBBsEGgQZBBkEGQQZBBoEGwQcBB4EIAQjBCYEKQQtBDAENQQ5BD8ERARKBFAEVgRdBGQEawRzBHsEgwSLBJQEnQSmBK8EuATBBMsE1ATdBOcE8AT6BQMFDQUWBR8FKAUwBTkFQQVJBVEFWQVgBWcFbQVzBXkFfgWDBYcFiwWPBZIFlAWWBZcFmAWZBZkFmAWXBZUFkwWQBY0FiQWFBYAFewV1BW8FaAVhBVkFUQVJBUAFNwUuBSQFGgUQBQYE+wTwBOUE2gTPBMMEuASsBKEElQSKBH8EcwRoBF0EUgRHBDwEMgQnBB0EFAQKBAED+APvA+cD3wPXA9ADyQPCA7wDtgOxA6wDpwOjA58DmwOYA5UDkwORA48DjgONA4wDiwOLA4wDjAONA44DkAORA5MDlgOYA5oDnQOgA6MDpwOqA64DsQO1A7kDvQPBA8UDyQPOA9ID1gPbA98D4wPnA+wD8AP0A/gD/AQABAQECAQMBBAEEwQXBBoEHgQhBCQEJwQqBC0EMAQyBDUENwQ5BDwEPgRABEIEQwRFBEYESARJBEsETARNBE4ETwRPBFAEUQRRBFIEUgRTBFMEUwRTBFMEUwRTBFMEUwRTBFMEUgRSBFIEUgRRBFEEUARQBE8ETwROBE4ETQRMBEwESwRLBEoESgRJBEgESARHBEcERgRGBEUERQRFBEQERAREBEMEQwRDBEMEQwRDBEMEQwRDBEMERAREBEQERQRFBEYERwRHBEgESQRKBEsETARNBE4ETwRRBFIEUwRVBFYEWARaBFsEXQRfBGEEYwRlBGcEaQRrBG0EbwRyBHQEdgR4BHsEfQSABIIEhASHBIkEjASOBJEEkwSWBJgEmgSdBJ8EogSkBKYEqQSrBK0ErwSyBLQEtgS4BLoEvAS+BMAEwgTEBMYExwTJBMsEzATOBM8E0QTSBNQE1QTWBNcE2ATZBNsE3ATcBN0E3gTfBOAE4AThBOIE4gTjBOME5ATkBOUE5QTmBOYE5gTnBOcE5wToBOgE6AToBOkE6QTpBOkE6gTqBOsE6wTrBOwE7ATtBO0E7gTvBO8E8ATxBPIE8wT0BPUE9gT3BPgE+QT7BPwE/gUABQEFAwUFBQcFCQULBQ0FEAUSBRUFFwUaBRwFHwUiBSUFKAUrBS4FMQU0BTcFOwU+BUEFRQVIBUwFTwVSBVYFWQVdBWAFZAVnBWsFbgVxBXUFeAV7BX4FggWFBYgFiwWNBZAFkwWWBZgFmwWdBZ8FoQWjBaUFpwWpBaoFrAWtBa8FsAWxBbIFswW0BbQFtQW1BbYFtgW2BbYFtgW2BbYFtgW2BbYFtQW1BbQFtAW0BbMFswWyBbEFsQWwBbAFrwWvBa4FrgWtBa0FrAWsBawFrAWsBasFqwWrBawFrAWsBawFrQWtBa4FrwWwBbAFsQWzBbQFtQW3BbgFuQW7Bb0FvwXBBcMFxQXHBckFywXOBdAF0wXVBdgF2wXeBeAF4wXmBekF7AXvBfIF9QX4BfsF/gYBBgQGBwYLBg4GEQYUBhcGGgYdBiAGIwYmBikGLAYvBjEGNAY3BjoGPAY/BkIGRAZHBkkGTAZOBlAGUwZVBlcGWQZcBl4GYAZiBmQGZgZoBmoGbAZuBnAGcgZzBnUGdwZ5BnsGfQZ/BoEGgwaEBoYGiAaKBowGjgaQBpMGlQaXBpkGnAaeBqAGowalBqgGqwauBrEGswa2BroGvQbABsMGxwbKBs4G0gbVBtkG3QbhBuUG6gbuBvIG9wb7BwAHBQcKBw4HEwcYBx0HIgcoBy0HMgc3BzwHQgdHB0wHUgdXB1wHYQdmB2wHcQd2B3sHgAeFB4kHjgeTB5cHnAegB6QHqAesB7AHswe3B7oHvQfAB8MHxgfIB8oHzAfOB9AH0QfSB9QH1QfVB9YH1gfWB9YH1gfVB9UH1AfTB9IH0AfPB84HzAfKB8gHxgfDB8EHvwe8B7kHtwe0B7EHrgerB6gHpQeiB58HnAeYB5UHkgePB4wHiQeGB4QHgQd+B3sHeQd2B3QHcgdvB20HawdpB2cHZgdkB2MHYQdgB18HXgddB1wHXAdbB1sHWgdaB1oHWgdaB1oHWwdbB1sHXAdcB10HXQdeB18HYAdhB2IHYgdjB2QHZQdmB2cHaAdpB2oHawdsB20HbgdvB3AHcQdxB3IHcwdzB3QHdQd1B3YHdgd2B3cHdwd3B3cHeAd4B3gHeAd4B3cHdwd3B3cHdwd2B3YHdgd1B3UHdAd0B3QHcwdzB3IHcgdxB3AHcAdvB28HbgduB20HbQdsB2wHawdrB2sHagdqB2kHaQdpB2kHaAdoB2gHaAdnB2cHZwdnB2cHZwdnB2cHZwdnB2cHZwdnB2cHZwdnB2cHZwdnB2gHaAdoB2gHaAdoB2gHaAdoB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2kHaQdpB2kHaQdpB6cHpwenB6gHqAeoB6gHqAepB6kHqQeqB6oHqgerB6sHqwesB6wHrAesB60HrQetB60HrQeuB64HrgeuB64HrQetB60HrQetB6wHrAerB6sHqgepB6kHqAenB6YHpQekB6MHogehB6AHnwedB5wHmweZB5gHlgeVB5MHkgeQB44HjQeLB4kHhweGB4QHggeBB38HfQd8B3oHeAd3B3UHcwdyB3AHbwdtB2wHagdpB2gHZgdlB2QHYwdiB2AHXwdeB10HXAdcB1sHWgdZB1kHWAdXB1cHVgdWB1UHVQdUB1QHVAdUB1MHUwdTB1MHUwdTB1MHUgdSB1IHUgdSB1IHUgdSB1IHUgdSB1IHUgdSB1IHUQdRB1EHUQdQB1AHUAdPB08HTgdOB00HTAdLB0sHSgdJB0gHRwdFB0QHQwdBB0AHPgc8BzsHOQc3BzUHMwcxBy4HLAcqBycHJAciBx8HHAcZBxcHFAcRBw4HCwcHBwQHAQb+BvsG9wb0BvEG7gbqBucG5AbgBt0G2gbXBtQG0QbOBssGyAbFBsIGvwa9BroGtwa1BrMGsAauBqwGqganBqUGpAaiBqAGngacBpsGmQaYBpYGlQaTBpIGkQaQBo4GjQaMBosGiQaIBocGhgaEBoMGggaABn8GfQZ8BnoGeQZ3BnUGcwZxBm8GbQZrBmkGZwZkBmIGXwZdBloGVwZUBlEGTgZLBkgGRQZBBj4GOwY3BjQGMAYtBikGJQYhBh4GGgYWBhMGDwYLBgcGBAYABfwF+AX1BfEF7gXqBecF4wXgBd0F2QXWBdMF0AXNBcoFxwXEBcEFvwW8BbkFtwW0BbIFsAWtBasFqQWnBaUFowWhBZ8FnQWbBZkFlwWWBZQFkgWQBY4FjAWLBYkFhwWFBYMFggWABX4FfAV6BXgFdgVzBXEFbwVtBWsFaAVmBWQFYQVfBVwFWgVXBVUFUgVPBUwFSQVHBUQFQQU+BTsFOAU1BTIFLwUsBSkFJgUjBR8FHAUZBRYFEwUQBQ0FCgUHBQQFAQT+BPsE+AT1BPME8ATtBOsE6ATmBOQE4QTfBN0E2wTZBNcE1QTTBNEE0ATOBM0EywTKBMkEyATHBMYExQTEBMQEwwTDBMIEwgTBBMEEwQTABMAEwATABMAEwAS/BL8EvwS/BL8EvwS+BL4EvgS9BL0EvAS7BLoEuQS4BLcEtgS0BLMEsQSvBK0EqgSoBKUEowSgBJ0EmQSWBJIEjgSKBIYEggR9BHkEdARvBGoEZQRgBFsEVgRQBEsERgRBBDsENgQxBCwEJwQiBB0EGAQUBBAEDAQIBAUEAgP/A/wD+gP4A/YD9QP1A/QD9AP1A/YD9wP5A/sD/gQBBAUECQQNBBIEGAQeBCQEKwQyBDkEQQRJBFIEWwRkBG0EdwSBBIsElQSfBKoEtAS/BMkE1ATeBOgE8wT9BQYFEAUaBSMFKwU0BTwFQwVKBVEFVwVdBWIFZwVrBW4FcQV0BXUFdgV3BXcFdgV1BXIFcAVsBWgFZAVeBVkFUgVMBUQFPAU0BSsFIgUYBQ4FAwT4BO0E4QTWBMoEvgSyBKUEmQSMBIAEcwRnBFoETgRBBDUEKQQeBBIEBwP8A/ID5wPdA9QDygPBA7kDsQOpA6IDmwOVA48DigOFA4ADfAN4A3UDcgNwA24DbQNsA2sDawNrA2sDbANtA24DcANyA3QDdwN6A30DgAODA4YDigOOA5IDlgOaA54DogOnA6sDrwO0A7gDvAPAA8UDyQPNA9ED1QPZA90D4QPlA+gD7APvA/ID9QP4A/sD/gQBBAQEBgQJBAsEDQQPBBEEEwQVBBcEGQQaBBwEHQQfBCAEIQQiBCQEJAQmBCcEKAQoBCkEKgQrBCwELAQtBC0ELgQvBC8EMAQwBDEEMQQyBDIEMwQzBDQENAQ0BDUENQQ1BDUENgQ2BDYENgQ2BDcENwQ3BDcENwQ3BDcENwQ3BDcENwQ3BDcENwQ3BDcENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENwQ3BDcEOAQ4BDkEOQQ6BDoEOwQ8BDwEPQQ+BD8EQARBBEIEQwREBEUERwRIBEkESwRMBE4ETwRRBFIEVARWBFcEWQRbBF0EXgRgBGIEZARmBGgEagRsBG4EbwRyBHQEdQR3BHkEewR9BH8EgQSEBIUEiASJBIwEjQSQBJEElASVBJgEmQScBJ0EnwShBKMEpQSnBKkEqwStBK8EsQSzBLUEtgS4BLoEvAS+BMAEwgTDBMUExwTIBMoEzATOBM8E0QTSBNQE1QTXBNgE2gTbBN0E3gTfBOEE4gTjBOQE5gTnBOgE6QTqBOsE7ATtBO8E8ATxBPIE8wT0BPUE9gT3BPgE+QT6BPsE/QT+BP8FAAUBBQMFBAUGBQcFCQUKBQwFDgUQBRIFEwUWBRgFGgUcBR4FIQUjBSYFKQUrBS4FMQU0BTcFOgU9BUEFRAVHBUsFTgVSBVUFWQVdBWAFZAVnBWsFbwVyBXYFegV9BYEFhQWIBYwFjwWTBZYFmQWcBZ8FogWlBagFqwWtBbAFswW1BbcFuQW7Bb0FvwXABcIFwwXFBcYFxwXIBckFyQXKBcsFywXLBcwFzAXMBcwFzAXLBcsFywXLBcoFygXJBckFyAXIBccFxwXGBcUFxQXFBcQFxAXDBcMFwgXCBcIFwQXBBcEFwQXBBcEFwQXCBcIFwgXDBcMFxAXFBcUFxgXHBcgFyQXKBcwFzQXOBdAF0QXTBdQF1gXYBdoF2wXdBd8F4QXjBeUF5wXpBewF7gXwBfIF9AX3BfkF+wX+BgAGAgYFBgcGCQYMBg4GEAYTBhUGGAYaBhwGHwYhBiQGJgYoBisGLQYvBjIGNAY3BjkGOwY+BkAGQgZFBkcGSgZMBk4GUQZTBlYGWAZaBl0GXwZiBmQGZwZpBmwGbgZxBnMGdgZ4BnsGfQaABoMGhQaIBosGjQaQBpMGlQaYBpsGngahBqQGpwaqBq0GsAazBrYGuQa9BsAGwwbHBsoGzgbRBtUG2QbdBuEG5QbpBu0G8Qb2BvoG/gcDBwgHDAcRBxYHGwcgByUHKgcwBzUHOgdAB0UHSwdRB1YHXAdhB2cHbQdzB3gHfgeEB4kHjweUB5oHnwelB6oHrwe0B7kHvgfDB8cHzAfQB9QH2AfcB+AH4wfnB+kH7AfvB/IH9Af2B/gH+Qf7B/wH/Qf+B/4H/gf/B/4H/gf+B/0H/Af7B/oH+Af3B/UH8wfxB+8H7AfqB+gH5QfiB+AH3QfaB9cH1AfRB88HzAfJB8YHwwfAB70Huwe4B7UHswewB64HrAeqB6gHpgekB6IHoQefB54HnQebB5sHmgeZB5gHmAeXB5cHlweXB5cHlweXB5gHmAeYB5kHmgeaB5sHnAedB50HngefB6AHoQeiB6MHpAelB6YHpgenB6gHqQeqB6oHqwesB6wHrQetB64HrgeuB64HrgevB68HrweuB64HrgeuB60HrQetB6wHrAerB6oHqgepB6gHpwenB6YHpQelB6QHoweiB6EHoQegB58HngeeB50HnAecB5sHmweaB5oHmQeZB5kHmQeZB5gHmAeYB5gHmQeZB5kHmQeZB5oHmgebB5sHnAecB50HngeeB58HoAegB6EHogejB6MHpAelB6YHpgenB6gHqQepB6oHqwerB6wHrQetB64HrgeuB68HrwevB68HsAewB7AHsAewB7AHsAewB7AHsAevB68HrwevB68HrgeuB64HrQetB6wHrAesB6sHqwerB6oHqgepB6kHqQeoB6gHqAeoB6gHpwenB6cHpwenB6cHpwenB98H3wffB98H4AfgB+AH4QfhB+EH4gfiB+IH4wfjB+QH5AfkB+UH5QflB+YH5gfmB+YH5gfmB+YH5gfmB+YH5gflB+UH5AfkB+MH4wfiB+EH4QfgB98H3gfdB9wH2wfZB9gH1wfWB9QH0wfSB9AHzwfOB8wHywfJB8gHxgfFB8QHwgfBB78Hvge9B7wHuge5B7gHtwe2B7UHtAezB7IHsQexB7AHrwevB64HrgetB60HrAesB6wHrAerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqgeqB6oHqQepB6kHqAeoB6cHpgemB6UHpAekB6MHogehB6AHnweeB50HmweaB5gHlweWB5QHkgeQB44HjQeLB4gHhgeEB4IHfwd8B3oHdwd0B3EHbgdrB2gHZQdhB14HWgdXB1MHTwdMB0gHRAdABzwHOAc0BzAHLAcoByMHHwcbBxcHEwcPBwsHBwcDBv8G+wb3BvQG8AbtBukG5gbjBuAG3QbaBtgG1QbTBtAGzgbMBsoGyQbHBsUGxAbDBsIGwQbABr8Gvga+Br0GvQa9BrwGvAa8BrwGvAa8BrwGuwa7BrsGuwa7BrsGuga6BroGuQa4BrcGtwa2BrUGswayBrEGrwatBqsGqQanBqQGogafBpwGmQaVBpIGjgaLBocGgwZ+BnoGdgZxBmwGaAZjBl4GWQZUBk8GSQZEBj8GOgY0Bi8GKQYkBh8GGQYUBg8GCgYFBgAF+wX2BfEF7AXnBeMF3gXaBdYF0gXOBcoFxgXCBb4FuwW4BbQFsQWuBasFqAWlBaMFoAWeBZsFmQWWBZQFkgWQBY4FjAWKBYgFhgWEBYIFgAV+BX0FewV5BXcFdgV0BXIFcAVvBW0FawVpBWcFZQVkBWIFYAVeBVwFWgVYBVUFUwVRBU8FTQVLBUgFRgVEBUEFPwU8BToFNwU1BTIFLwUtBSoFJwUkBSEFHgUbBRkFFgUSBQ8FDAUJBQYFAwUABPwE+QT2BPIE7wTsBOgE5QTiBN8E2wTYBNUE0gTOBMsEyATFBMIEvwS8BLoEtwS0BLIErwStBKsEqQSnBKUEowShBKAEngSdBJwEmwSaBJkEmASYBJcElwSWBJYElgSWBJYElgSWBJYElgSWBJYElgSWBJYElgSWBJYElQSVBJUElASTBJIEkQSQBI4EjQSLBIkEhgSEBIEEfgR7BHgEdARwBGwEaARjBF8EWgRVBFAESgRFBD8EOQQ0BC4EKAQiBBwEFgQRBAsEBQQAA/sD9QPxA+wD5wPjA+AD3APZA9YD1APSA9ED0APQA9AD0APRA9MD1QPYA9sD3gPjA+cD7QPzA/kEAAQHBA8EFwQgBCkEMgQ8BEUEUARaBGUEbwR6BIUEkAScBKYEsQS8BMcE0QTbBOUE7wT4BQEFCQURBRkFIAUmBSwFMQU1BTkFPAU/BUEFQgVCBUIFQQU/BTwFOQU1BTAFKwUlBR4FFwUPBQcE/gT0BOoE4ATVBMoEvgSyBKYEmgSNBIAEcwRmBFkETAQ/BDIEJQQYBAwD/wPzA+gD3APRA8YDvAOxA6gDnwOWA44DhgN+A3gDcQNrA2YDYQNdA1kDVgNTA1ADTwNNA0wDTANLA0wDTANNA04DUANSA1QDVgNZA1wDXwNiA2YDaQNtA3EDdQN5A30DgAOEA4gDjAOQA5QDmAOcA58DowOmA6oDrQOwA7MDtgO5A7wDvgPBA8MDxQPHA8kDywPNA84D0APRA9MD1APVA9YD2APZA9oD2gPbA9wD3QPeA98D4APgA+ED4gPjA+QD5QPmA+YD5wPoA+oD6gPsA+0D7gPvA/AD8gPzA/QD9gP3A/gD+gP7A/wD/gP/BAEEAgQEBAUEBwQIBAoECwQMBA4EDwQQBBEEEgQUBBUEFgQXBBgEGAQZBBoEGwQbBBwEHQQdBB4EHgQeBB8EHwQfBCAEIAQgBCAEIAQgBCAEIAQgBCAEIAQgBCAEIAQhBCEEIQQhBCEEIQQhBCIEIgQiBCMEIwQjBCQEJAQlBCYEJgQnBCgEKQQpBCoEKwQsBC0ELgQvBDAEMQQyBDQENQQ2BDcEOAQ6BDsEPAQ9BD8EQARBBEMERARFBEcESARJBEsETARNBE8EUARRBFMEVARVBFcEWARaBFsEXAReBF8EYQRiBGQEZgRnBGkEawRsBG4EcARyBHQEdgR4BHoEfAR/BIEEgwSFBIgEigSNBJAEkgSVBJgEmgSdBKAEowSmBKkEqwSuBLEEtAS3BLoEvQTABMMExgTJBMwEzwTRBNQE1wTZBNwE3wThBOQE5gToBOsE7QTvBPEE8wT1BPcE+QT7BPwE/gUABQEFAwUFBQYFCAUJBQoFDAUNBQ8FEAUSBRMFFQUWBRgFGQUbBR0FHgUgBSIFJAUmBSgFKgUsBS8FMQUzBTYFOQU8BT4FQQVEBUcFSgVOBVEFVAVYBVsFXwVjBWYFagVuBXIFdgV6BX4FggWGBYoFjgWRBZUFmQWdBaEFpQWoBawFsAWzBbYFugW9BcAFwwXGBckFzAXOBdEF0wXVBdcF2QXbBd0F3gXfBeEF4gXjBeQF5QXlBeYF5gXnBecF5wXnBecF5wXnBecF5wXnBeYF5gXmBeUF5QXkBeQF4wXjBeIF4gXiBeEF4QXhBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXhBeEF4QXiBeIF4wXkBeQF5QXmBecF5wXpBekF6gXrBewF7gXvBfAF8QXyBfMF9QX2BfcF+AX6BfsF/AX9Bf8GAAYBBgIGBAYFBgYGCAYJBgoGCwYNBg4GDwYRBhIGEwYVBhYGGAYZBhsGHAYeBh8GIQYjBiUGJgYoBioGLAYuBjAGMgY0BjYGOQY7Bj0GQAZCBkUGSAZKBk0GUAZSBlUGWAZbBl4GYQZkBmcGagZtBnAGcwZ2BnkGfAZ/BoIGhQaIBosGjgaSBpUGmAabBp4GoQakBqYGqgasBq8Gsga1BrgGuwa+BsEGxAbHBsoGzgbRBtQG1wbaBt4G4QblBugG7AbwBvQG+Ab8BwAHBAcJBw0HEgcXBxsHIAcmBysHMAc1BzsHQQdGB0wHUgdYB14HZAdqB3AHdgd9B4MHiQePB5YHnAeiB6gHrge0B7kHvwfFB8oHzwfUB9kH3gfjB+cH6wfvB/MH9gf6B/wH/wgCCAQIBggICAkICggLCAwIDQgNCA0IDQgMCAwICwgKCAgIBwgFCAMIAggAB/0H+wf5B/YH9AfxB+8H7AfpB+YH5AfhB94H3AfZB9cH1AfSB9AHzgfLB8kHyAfGB8QHwwfBB8AHvwe+B70HvQe8B7wHuwe7B7sHuwe7B7sHvAe8B70HvQe+B78HwAfBB8EHwgfEB8UHxgfHB8gHyQfKB8sHzAfNB84HzwfQB9EH0gfTB9QH1QfVB9YH1wfXB9gH2AfYB9gH2QfZB9kH2QfZB9kH2QfYB9gH2AfYB9cH1wfWB9YH1QfVB9QH1AfTB9MH0gfRB9EH0AfQB88HzwfOB84HzgfNB80HzQfNB8wHzAfMB8wHzAfMB80HzQfNB80HzgfOB88HzwfQB9EH0gfSB9MH1AfVB9YH1wfYB9kH2gfbB90H3gffB+AH4QfiB+QH5QfmB+cH6AfpB+oH6wfsB+0H7gfvB/AH8AfxB/EH8gfyB/MH8wfzB/MH8wfzB/MH8wfzB/MH8wfyB/IH8QfxB/AH8AfvB+8H7gftB+wH7AfrB+oH6QfpB+gH5wfmB+YH5QfkB+MH4wfiB+IH4QfhB+AH4AfgB98H3wffB98H3wffB98H3wffCB4IHwggCCEIIggjCCMIJAglCCYIJwgoCCgIKQgqCCoIKwgrCCsILAgsCCwILAgsCCwILAgrCCsIKwgqCCoIKQgoCCcIJgglCCQIIwgiCCAIHwgeCBwIGwgZCBgIFggUCBMIEQgQCA4IDAgLCAkICAgGCAQIAwgCCAAH/wf+B/wH+wf6B/kH+Af3B/cH9gf1B/UH9Af0B/QH9AfzB/MH8wf0B/QH9Af0B/UH9Qf2B/YH9wf3B/gH+Qf5B/oH+wf7B/wH/Qf+B/4H/wgACAAIAQgBCAIIAggCCAIIAwgDCAMIAwgDCAMIAggCCAIIAQgBCAAH/wf/B/4H/Qf8B/sH+gf4B/cH9gf0B/MH8QfwB+4H7AfqB+kH5wflB+MH4QffB90H2gfYB9YH0wfRB88HzAfKB8cHxAfBB78HvAe5B7YHswevB6wHqQemB6IHngebB5cHkwePB4sHhweDB38Hegd2B3IHbQdoB2QHXwdaB1YHUQdMB0cHQgc9BzkHNAcvByoHJgchBxwHGAcTBw8HCwcHBwMG/wb8BvgG9QbxBu4G7AbpBuYG5AbiBuAG3gbdBtsG2gbZBtgG1wbXBtYG1gbWBtYG1wbXBtcG2AbZBtkG2gbbBtwG3QbeBt8G4AbhBuEG4gbjBuQG5AblBuUG5QblBuUG5QbkBuQG4wbiBuAG3wbdBtsG2QbXBtQG0QbOBssGyAbEBsAGvAa4BrQGrwaqBqUGoAabBpUGkAaKBoQGfgZ4BnIGbAZmBl8GWQZTBk0GRgZABjoGMwYtBicGIQYbBhUGDwYJBgQF/gX4BfMF7gXpBeMF3gXaBdUF0AXLBccFwwW+BboFtgWyBa4FqwWnBaMFoAWcBZkFlgWSBY8FjAWJBYYFgwWABX0FegV3BXQFcgVvBWwFaQVnBWQFYQVfBVwFWgVXBVUFUgVQBU4FSwVJBUcFRQVDBUAFPgU8BToFOAU2BTQFMgUwBS8FLQUrBSkFJwUmBSQFIgUgBR8FHQUbBRkFFwUVBRMFEgUPBQ0FCwUJBQYFBAUCBP8E/AT6BPcE9ATxBO4E6gTnBOQE4ATdBNkE1QTRBM4EygTGBMIEvgS6BLYEsgSuBKoEpgSiBJ4EmgSWBJMEjwSMBIgEhQSCBIAEfQR7BHgEdgR0BHIEcQRvBG4EbQRsBGwEawRrBGsEawRrBGsEbARsBG0EbgRvBG8EcARxBHIEcwR0BHQEdQR1BHYEdgR2BHYEdQR1BHQEcwRyBHAEbwRtBGoEaARlBGIEXgRaBFYEUgRNBEgEQwQ+BDgEMwQtBCcEIAQaBBQEDQQHBAED+gP0A+4D6APiA9wD1wPSA80DyQPFA8EDvgO7A7kDtwO2A7UDtQO1A7YDuAO6A70DwAPEA8kDzgPUA9oD4QPpA/ED+QQCBAsEFQQfBCkEMwQ+BEkEVARfBGoEdQSABIsElgShBKsEtQS/BMgE0QTZBOEE6ATvBPUE+gT/BQIFBgUIBQoFCwULBQoFCQUGBQME/wT7BPUE7wToBOEE2ATQBMYEvASyBKcEmwSQBIMEdwRqBF0EUARDBDUEKAQbBA0EAAPzA+YD2QPNA8ADtQOpA54DkwOJA38DdgNtA2UDXQNWA1ADSQNEAz8DOgM2AzMDMAMuAywDKgMpAykDKQMpAyoDKwMsAy4DMAMyAzQDNwM6Az0DQANDA0cDSgNNA1EDVANYA1sDXwNiA2UDaQNsA28DcgN1A3cDegN8A34DgQODA4UDhgOIA4oDiwONA44DjwOQA5EDkgOTA5QDlAOVA5YDlgOXA5gDmAOZA5oDmwObA5wDnQOeA58DoAOhA6IDowOkA6YDpwOpA6oDrAOuA7ADsQOzA7UDuAO6A7wDvgPAA8MDxQPIA8oDzAPPA9ED1APWA9kD2wPeA+AD4gPlA+cD6QPrA+0D7wPxA/MD9QP3A/kD+gP8A/0D/gQABAEEAgQDBAQEBQQFBAYEBwQHBAgECAQIBAgECQQJBAkECQQJBAkECQQJBAgECAQIBAgECAQIBAgECAQIBAcEBwQIBAgECAQIBAgECAQJBAkECgQKBAsECwQMBAwEDQQOBA8EEAQRBBIEEwQUBBUEFgQXBBgEGQQbBBwEHQQeBB8EIQQiBCMEJAQlBCYEKAQpBCkEKwQsBC0ELQQuBC8EMAQxBDIEMgQzBDQENQQ1BDYENwQ4BDgEOQQ6BDsEPAQ9BD4EPwRABEEEQgRDBEUERgRIBEoESwRNBE8EUQRTBFYEWARaBF0EXwRiBGUEaARrBG4EcgR1BHgEfASABIMEhwSLBI4EkgSWBJoEngSiBKYEqgSuBLEEtQS5BL0EwQTEBMgEzATPBNME1gTZBN0E4ATjBOYE6QTsBO4E8QT0BPYE+QT7BP0E/wUCBQQFBgUIBQoFDAUOBQ8FEQUTBRUFFwUZBRsFHQUfBSEFIwUlBScFKQUsBS4FMAUzBTYFOAU7BT4FQQVEBUcFSgVOBVEFVQVYBVwFYAVkBWgFbAVwBXQFeAV9BYEFhQWKBY4FkwWXBZsFoAWkBakFrQWxBbYFugW+BcIFxgXKBc4F0gXWBdkF3QXgBeMF5gXpBewF7gXxBfMF9QX3BfkF+wX8Bf4F/wYABgEGAgYCBgMGAwYEBgQGBAYEBgQGAwYDBgMGAgYCBgEGAAYABf8F/gX9Bf0F/AX7BfoF+gX5BfgF9wX3BfYF9gX1BfQF9AX0BfMF8wXzBfMF8wXzBfMF8wXzBfQF9AX0BfUF9QX2BfYF9wX4BfgF+QX6BfsF+wX8Bf0F/gX/Bf8GAAYBBgIGAgYDBgQGBQYFBgYGBwYHBggGCQYJBgoGCwYLBgwGDAYNBg0GDgYPBg8GEAYRBhEGEgYTBhQGFQYWBhcGGAYZBhoGGwYdBh4GIAYhBiMGJQYnBikGKwYtBjAGMgY0BjcGOgY8Bj8GQgZFBkgGSwZOBlIGVQZYBlsGXwZiBmYGaQZsBnAGcwZ2BnoGfQaABoMGhwaKBo0GkAaTBpYGmAabBp4GoAajBqUGqAaqBq0GrwaxBrMGtQa4BroGvAa+BsAGwwbFBscGygbMBs4G0QbUBtcG2gbdBuAG5AbnBusG7wbzBvcG/AcABwUHCgcQBxUHGwchBycHLQczBzoHQQdHB04HVQddB2QHawdzB3oHggeKB5EHmAegB6cHrwe2B70HxAfLB9EH2AfeB+QH6gfvB/QH+Qf+CAIIBggKCA0IEAgTCBUIGAgZCBsIHAgdCB0IHQgdCB0IHAgbCBoIGQgXCBUIEwgRCA8IDAgKCAcIBAgBB/8H/Af5B/YH8wfxB+4H6wfpB+YH5AfiB+AH3gfcB9oH2QfXB9YH1QfUB9MH0wfTB9IH0gfSB9MH0wfTB9QH1QfWB9cH2AfZB9oH3AfdB94H4AfhB+MH5AfmB+gH6QfrB+wH7gfwB/EH8gf0B/UH9wf4B/kH+gf7B/wH/Qf+B/8IAAgBCAEIAggDCAMIBAgECAQIBQgFCAUIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAcIBwgHCAcIBwgHCAgICAgICAkICQgJCAoICggLCAsIDAgMCA0IDQgOCA8IDwgQCBEIEQgSCBMIEwgUCBUIFggWCBcIGAgYCBkIGggaCBsIGwgcCBwIHQgdCB0IHggeCB4IHggeCB4IHggeCB4IHggeCB4IHggdCB0IHQgcCBwIGwgbCBsIGggaCBkIGQgYCBgIFwgXCBYIFggWCBUIFQgVCBQIFAgUCBQIFAgUCBQIFAgUCBUIFQgVCBYIFggXCBcIGAgZCBkIGggbCBwIHAgdCGgIaghsCG0IbghwCHEIcwh0CHUIdgh3CHcIeAh4CHkIeQh5CHkIeQh5CHkIeQh4CHgIdwh2CHUIdAhzCHIIcQhwCG4IbQhrCGoIaAhnCGUIYwhhCGAIXghcCFsIWQhXCFUIVAhSCFAITwhNCEwISghJCEcIRghFCEQIQghBCEAIPwg/CD4IPQg9CDwIPAg8CDsIOwg7CDsIOwg7CDsIPAg8CDwIPAg9CD0IPgg+CD8IQAhACEEIQQhCCEMIQwhECEQIRAhFCEUIRQhFCEYIRghFCEUIRQhFCEQIRAhDCEIIQQhACD8IPgg9CDsIOgg4CDYINAgyCDAILggsCCoIJwglCCMIIAgdCBsIGAgVCBMIEAgNCAoIBwgFCAIH/wf8B/kH9wf0B/EH7gfrB+kH5gfjB+AH3QfaB9gH1QfSB88HzAfJB8YHwwfAB70HuQe2B7MHrwesB6gHpAegB50HmQeVB5AHjAeIB4QHfwd7B3YHcQdsB2gHYwdeB1kHVAdPB0oHRQdABzsHNwcyBy0HKAckBx8HGwcXBxIHDgcKBwcHAwcABv0G+gb3BvQG8gbvBu0G7AbqBugG5wbmBuUG5QbkBuQG5AbkBuQG5AbkBuUG5gbmBucG6AbpBuoG6wbsBu0G7QbuBu8G8AbxBvEG8gbyBvIG8gbyBvIG8gbxBvEG8AbvBu0G7AbqBugG5gbjBuEG3gbbBtgG1AbQBs0GyAbEBsAGuwa2BrIGrAanBqIGnAaXBpEGiwaGBoAGegZ0Bm4GaAZiBlwGVgZQBkoGRAY+BjgGMgYtBicGIQYcBhYGEQYMBgcGAQX8BfcF8wXuBekF5AXgBdsF1wXSBc4FygXGBcEFvQW5BbUFsQWtBakFpQWhBZ0FmQWVBZEFjQWJBYUFgQV9BXkFdgVyBW4FagVmBWIFXgVbBVcFUwVQBUwFSQVFBUIFPwU8BTkFNgUzBTEFLgUrBSkFJwUlBSMFIQUfBR0FHAUaBRkFFwUWBRUFFAUTBRIFEQUQBQ8FDgUNBQsFCgUJBQgFBwUFBQQFAgUBBP8E/QT7BPgE9gTzBPEE7gTrBOcE5ATgBNwE2QTUBNAEzATIBMMEvgS6BLUEsASrBKYEoQScBJcEkgSOBIkEhASABHsEdwRzBG8EawRoBGQEYQReBFsEWQRXBFUEUwRSBFEEUARPBE8ETgROBE8ETwRQBFAEUQRSBFMEVQRWBFcEWQRaBFsEXQReBF8EYARhBGEEYgRiBGIEYgRhBGAEXwReBFwEWgRYBFUEUgROBEsERwRCBD0EOAQzBC0EKAQhBBsEFQQOBAcEAAP5A/ID7APlA94D1wPRA8sDxQO/A7kDtAOwA6wDqAOlA6IDoAOeA50DnQOdA54DoAOiA6UDqAOtA7EDtwO9A8QDywPTA9wD5APuA/cEAgQMBBcEIgQtBDgEQwROBFoEZQRwBHsEhQSPBJkEogSrBLMEuwTCBMkEzwTTBNgE2wTeBOAE4QThBOAE3gTcBNgE1ATPBMkEwwS7BLMEqgShBJcEjASBBHUEaQRcBFAEQwQ1BCgEGgQMA/8D8QPjA9YDyQO8A68DowOXA4sDgAN1A2sDYQNYA08DRwM/AzgDMQMrAyYDIQMdAxkDFgMUAxIDEAMPAw4DDgMOAw4DDwMQAxEDEgMUAxYDGAMaAxwDHwMhAyQDJgMpAysDLQMwAzIDNAM2AzgDOgM8Az4DPwNBA0IDRANFA0YDRwNIA0kDSgNKA0sDTANMA00DTgNOA08DUANQA1EDUgNTA1QDVQNWA1cDWQNaA1wDXQNfA2EDYgNlA2cDaQNrA20DcANzA3UDeAN7A34DgQOEA4cDigONA5ADkwOWA5oDnQOgA6MDpgOqA60DsAOzA7YDuQO8A78DwgPEA8cDygPMA88D0QPUA9YD2APaA9wD3gPgA+ID4wPlA+cD6APpA+sD7APtA+4D7wPvA/AD8QPxA/ID8gPzA/MD8wPzA/MD8wPzA/MD8wPzA/MD8wPzA/MD8gPyA/ID8gPyA/ED8QPxA/ED8QPxA/ED8QPxA/ED8QPxA/ED8gPyA/ID8wPzA/QD9QP1A/YD9wP3A/gD+QP6A/sD/AP9A/4D/wQABAEEAgQDBAMEBAQFBAYEBwQIBAkECgQLBAsEDAQNBA0EDgQPBA8EEAQQBBEEEQQSBBIEEwQTBBQEFAQVBBUEFgQXBBgEGAQZBBoEGwQcBB0EHwQgBCEEIwQlBCYEKAQqBC0ELwQxBDQENgQ5BDwEPwRCBEYESQRNBFAEVARYBFwEYARkBGgEbARwBHUEeQR9BIIEhgSLBI8EkwSYBJwEoASlBKkErQSxBLUEuQS9BMEExATIBMwEzwTTBNYE2QTdBOAE4wTmBOkE7ATuBPEE9AT2BPkE/AT+BQEFAwUFBQgFCgUNBQ8FEgUUBRcFGQUcBR4FIQUkBScFKgUsBS8FMgU2BTkFPAU/BUMFRgVKBU0FUQVVBVkFXAVgBWQFaQVtBXEFdQV6BX4FggWHBYsFjwWUBZgFnQWhBaYFqgWvBbMFtwW8BcAFxAXIBcwF0AXUBdgF2wXfBeIF5gXpBewF7wXyBfQF9wX5BfsF/gX/BgEGAwYEBgUGBwYIBggGCQYKBgoGCgYKBgoGCgYKBgoGCQYJBggGBwYHBgYGBQYEBgMGAgYBBf8F/gX9BfwF+wX6BfkF+AX3BfYF9QX0BfMF8wXyBfIF8QXxBfAF8AXwBfAF8AXwBfAF8AXxBfEF8gXyBfMF8wX0BfUF9gX2BfcF+AX5BfoF+wX8Bf0F/gX/BgAGAQYCBgMGBAYFBgYGBwYIBggGCQYKBgsGDAYMBg0GDgYPBg8GEAYRBhEGEgYTBhQGFAYVBhYGFwYYBhgGGQYbBhwGHQYeBiAGIQYjBiQGJgYoBioGLAYuBjAGMgY1BjcGOgY9BkAGQwZGBkkGTAZPBlMGVgZZBl0GYQZkBmgGawZvBnMGdgZ6Bn0GgQaEBogGiwaOBpIGlQaYBpsGnQagBqMGpQaoBqoGrQavBrEGswa1BrcGuAa6BrwGvga/BsEGwwbEBsYGyAbKBswGzgbQBtIG1QbXBtoG3QbgBuQG5wbrBu8G9Ab4Bv4HAwcIBw4HFAcbByEHKAcwBzcHPwdHB08HVwdgB2kHcgd7B4QHjQeWB6AHqQeyB7wHxQfOB9cH3wfoB/AH+AgACAcIDwgVCBwIIggoCC0IMgg2CDoIPQhBCEMIRQhHCEgISQhKCEoISQhICEcIRQhECEEIPwg8CDkINggzCC8IKwgoCCQIIAgcCBgIFAgQCAwICQgFCAEH/gf7B/gH9QfzB/AH7gfsB+oH6QfoB+cH5gfmB+YH5gfmB+YH5wfoB+kH6gfrB+0H7gfwB/IH9Af2B/gH+gf8B/8IAQgDCAUICAgKCAwIDwgRCBMIFQgXCBkIGwgdCB4IIAgiCCMIJQgmCCgIKQgqCCwILQguCC8IMAgxCDIIMwg0CDQINQg2CDcIOAg5CDkIOgg7CDsIPAg9CD0IPgg+CD8IQAhACEEIQQhCCEIIQwhDCEQIRAhECEUIRQhFCEUIRghGCEYIRghGCEcIRwhHCEcIRwhHCEcIRwhHCEcIRwhHCEYIRghGCEYIRghGCEYIRghFCEUIRQhFCEUIRQhECEQIRAhECEMIQwhDCEMIQghCCEIIQQhBCEEIQAhACD8IPwg+CD4IPgg9CD0IPAg8CDwIOwg7CDsIOgg6CDoIOgg5CDkIOQg5CDkIOgg6CDoIOgg7CDsIPAg9CD0IPgg/CEAIQQhCCEQIRQhGCEgISQhLCE0ITghQCFIIVAhWCFcIWQhbCF0IXwhhCGMIZQhmCKsIrAiuCK8IsAixCLIIswi0CLQItQi1CLUItQi1CLQItAizCLMIsgixCLAIrwiuCK0IrAirCKoIqQinCKYIpQikCKIIoQigCJ8IngidCJwImwiaCJkImQiYCJcIlwiWCJYIlQiVCJQIlAiUCJMIkwiTCJIIkgiSCJIIkgiSCJEIkQiRCJEIkQiQCJAIkAiQCJAIjwiPCI8IjgiOCI4IjQiNCI0IjAiMCIsIiwiKCIkIiQiICIgIhwiGCIUIhQiECIMIggiBCH8Ifgh9CHwIegh5CHcIdQh0CHIIcAhuCGwIaQhnCGUIYghfCF0IWghXCFQIUQhNCEoIRwhECEAIPQg5CDYIMggvCCsIKAgkCCEIHQgaCBYIEwgPCAwICQgFCAIH/wf8B/kH9gfzB/EH7gfrB+kH5gfjB+EH3gfcB9kH1wfVB9IH0AfNB8sHyAfGB8MHwAe+B7sHuAe1B7IHrwesB6gHpQehB54HmgeWB5IHjgeKB4UHgQd9B3gHcwdvB2oHZQdhB1wHVwdSB00HSQdEBz8HOgc2BzEHLQcoByQHIAccBxgHFAcQBw0HCgcGBwMHAAb+BvsG+Ab2BvQG8gbwBu8G7QbsBusG6QbpBugG5wbmBuYG5QblBuQG5AbkBuQG4wbjBuMG4wbjBuIG4gbhBuEG4AbgBt8G3gbdBtwG2wbaBtkG1wbVBtQG0QbPBs0GywbIBsUGwga/BrwGuQa1BrIGrgaqBqYGogadBpkGlAaQBosGhgaBBnwGdwZyBm0GaAZjBl4GWQZUBk8GSQZEBj8GOgY2BjEGLAYnBiIGHgYZBhUGEAYMBggGBAX/BfsF+AX0BfAF7AXoBeUF4QXeBdoF1gXTBdAFzAXJBcUFwQW+BboFtwWzBbAFrAWoBaQFoAWdBZkFlQWRBY0FiQWFBYEFfAV4BXQFcAVsBWgFZAVgBVwFWAVUBVAFTQVJBUYFQgU/BTwFOQU2BTMFMQUvBSwFKgUoBSYFJAUjBSEFIAUfBR0FHAUbBRoFGQUYBRcFFgUVBRQFEwUSBREFEAUOBQ0FCwUJBQgFBQUDBQEE/gT7BPgE9QTyBO4E6gTmBOIE3gTZBNUE0ATLBMYEwAS7BLYEsASrBKUEoASaBJUEjwSJBIQEfwR5BHQEbwRrBGYEYgRdBFkEVgRSBE8ETARJBEYERARCBEAEPgQ9BDwEOwQ7BDoEOgQ6BDoEOwQ7BDwEPQQ9BD4EPwRABEEEQgRDBEMERARFBEUERQRFBEUERQREBEMEQgRABD8EPQQ6BDcENAQxBC0EKQQkBB8EGgQVBA8ECQQDA/0D9gPvA+gD4QPaA9MDzAPFA74DtwOxA6oDpAOeA5kDkwOPA4oDhgODA4EDfgN9A3wDfAN8A30DfwOCA4UDiQOOA5MDmQOgA6cDrwO3A8ADygPUA94D6QP0A/8ECgQWBCEELQQ4BEQETwRaBGQEbwR4BIIEigSSBJoEoASmBKsEsASzBLYEtwS4BLgEtwS1BLIErgSpBKMEnQSWBI0EhAR7BHEEZgRaBE4EQgQ1BCgEGwQNBAAD8gPkA9YDyQO7A64DoQOUA4gDewNwA2UDWgNQA0cDPgM1Ay0DJgMfAxkDFAMPAwoDBgMDAwAC/gL8AvsC+QL5AvgC+AL4AvkC+QL6AvsC/AL9Av4C/wMAAwEDAgMEAwQDBQMGAwcDBwMIAwgDCAMIAwgDCAMIAwgDBwMHAwcDBgMGAwYDBQMFAwUDBQMFAwUDBQMGAwYDBwMIAwkDCgMMAw4DDwMSAxQDFgMZAxwDHwMiAyYDKQMtAzADNAM4AzwDQANFA0kDTQNRA1YDWgNeA2IDZwNrA28DcwN2A3oDfgOCA4UDiAOLA48DkgOUA5cDmgOcA58DoQOjA6YDqAOqA6wDrgOvA7EDswO0A7YDuAO5A7sDvAO+A78DwQPCA8QDxQPHA8gDyQPLA8wDzgPPA9AD0gPTA9QD1QPWA9gD2QPaA9sD3APdA94D3wPfA+AD4QPiA+ID4wPjA+QD5APkA+UD5QPlA+UD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPlA+UD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPnA+cD5wPnA+cD5wPoA+gD6APpA+kD6QPqA+oD6wPrA+wD7APtA+4D7wPwA/ED8gPzA/UD9gP4A/kD+wP9A/8EAQQEBAYECQQLBA4EEQQUBBgEGwQfBCIEJgQqBC4EMgQ2BDoEPwRDBEgETARRBFYEWgRfBGQEaARtBHIEdwR8BIAEhQSKBI4EkwSXBJwEoASkBKkErQSxBLUEuQS9BMAExATIBMsEzwTSBNUE2ATcBN8E4gTlBOgE6wTuBPEE9AT2BPkE/AT/BQIFBAUHBQoFDQUQBRMFFgUYBRsFHgUhBSQFJwUqBS4FMQU0BTcFOgU9BUAFRAVHBUoFTQVRBVQFVwVaBV4FYQVkBWcFawVuBXEFdAV3BXsFfgWBBYQFhwWLBY4FkQWUBZcFmgWdBaAFowWmBakFrAWvBbEFtAW3BboFvQW/BcIFxQXHBcoFzAXOBdEF0wXVBdcF2QXbBd0F3wXhBeIF5AXlBeYF5wXpBeoF6wXrBewF7QXtBe4F7gXuBe4F7gXuBe4F7gXuBe4F7QXtBe0F7AXsBesF6wXrBeoF6gXqBekF6QXpBekF6AXoBegF6AXoBekF6QXpBeoF6gXrBesF7AXtBe4F7wXwBfEF8gX0BfUF9gX4BfkF+wX8Bf4GAAYBBgMGBQYHBggGCgYMBg0GDwYRBhIGFAYVBhcGGAYaBhsGHQYeBiAGIQYiBiMGJAYlBicGKAYpBioGKwYsBi0GLgYvBjAGMQYyBjMGNAY1BjcGOAY5BjoGPAY9Bj8GQQZCBkQGRgZIBkoGTQZPBlEGVAZWBlkGXAZfBmIGZQZoBmsGbwZyBnYGeQZ9BoEGhAaIBowGkAaTBpcGmwaeBqIGpgapBq0GsAazBrcGuga9BsAGwwbGBskGywbOBtAG0wbVBtcG2gbcBt4G4AbjBuUG5wbpBuwG7gbxBvMG9gb5BvwG/wcDBwcHCwcPBxQHGQceByMHKQcvBzYHPAdEB0sHUwdbB2QHbAd1B38HiAeSB5wHpwexB7wHxwfRB9wH5wfyB/wIBwgSCBwIJggwCDkIQwhLCFQIXAhjCGsIcQh3CH0IggiGCIoIjQiQCJIIkwiUCJQIlAiTCJEIjwiNCIoIhgiCCH4IeQh0CG8IaQhkCF4IWAhSCEwIRQg/CDkIMwgtCCcIIggcCBcIEwgOCAoIBggCB/8H/Af5B/cH9Qf0B/MH8gfyB/IH8gfyB/MH9Af2B/cH+Qf7B/0IAAgCCAUICAgLCA0IEAgTCBYIGQgcCB8IIgglCCgIKggtCDAIMgg0CDcIOQg7CD0IPwhBCEMIRQhGCEgISghLCE0ITghPCFEIUghTCFUIVghXCFgIWghbCFwIXQheCGAIYQhiCGMIZAhmCGcIaAhpCGoIawhsCG0IbghvCHAIcAhxCHIIcwhzCHQIdQh1CHYIdgh3CHcIdwh4CHgIeAh5CHkIeQh5CHoIegh6CHoIegh7CHsIewh7CHwIfAh8CHwIfAh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfAh8CHsIewh6CHoIeQh5CHgIdwh3CHYIdgh1CHQIdAhzCHIIcghxCHEIcAhwCHAIbwhvCG8IbwhwCHAIcAhxCHIIcwh0CHUIdgh3CHkIegh8CH4IgAiBCIQIhgiICIoIjQiPCJEIlAiWCJgImwidCJ8IoQijCKUIpwipCNoI2wjbCNwI3AjdCN0I3AjcCNwI2wjaCNkI2AjXCNYI1QjTCNII0QjPCM4IzAjLCMoIyAjHCMYIxQjFCMQIwwjDCMMIwwjDCMMIxAjFCMYIxwjICMkIygjMCM4IzwjRCNMI1QjXCNkI2wjdCN8I4QjjCOQI5gjoCOkI6wjsCO0I7gjuCO8I7wjwCPAI8AjvCO8I7gjtCOwI6wjqCOkI5wjmCOQI4gjgCN4I3AjaCNcI1QjTCNAIzgjLCMkIxgjDCMEIvgi7CLkItgizCLAIrQiqCKcIpAihCJ4ImwiYCJUIkQiOCIsIhwiECIAIfQh5CHUIcQhuCGoIZghiCF4IWghWCFIITghKCEYIQgg+CDoINggyCC4IKggmCCMIHwgbCBgIFQgRCA4ICwgICAUIAgf/B/wH+Qf2B/QH8QfuB+wH6QfnB+QH4QffB9wH2QfXB9QH0QfOB8sHyAfFB8IHvwe8B7gHtQexB64HqgemB6IHngeaB5YHkQeNB4gHhAd/B3sHdgdxB20HaAdjB14HWgdVB1AHSwdHB0IHPQc5BzQHMAcrBycHIwcfBxsHFwcTBw8HCwcIBwQHAQb9BvoG9wb0BvEG7gbrBugG5gbjBuEG3gbcBtoG2AbWBtMG0QbPBs0GywbKBsgGxgbEBsIGwAa/Br0Guwa5BrcGtga0BrIGsAauBqwGqgaoBqYGpAaiBqAGnQabBpkGlgaTBpEGjgaLBogGhQaCBn8GewZ4BnQGcAZtBmkGZQZhBlwGWAZUBlAGSwZHBkIGPgY5BjQGMAYrBiYGIgYdBhkGFAYQBgsGBwYDBf8F+wX3BfMF7wXsBegF5QXiBd4F2wXYBdUF0wXQBc0FywXIBcYFxAXBBb8FvQW6BbgFtgWzBbEFrwWsBaoFpwWlBaIFnwWcBZoFlwWTBZAFjQWKBYcFgwWABXwFeQV1BXIFbgVrBWcFZAVgBV0FWgVWBVMFUAVNBUoFRwVFBUIFQAU9BTsFOQU3BTQFMwUxBS8FLQUrBSoFKAUnBSUFIwUiBSAFHgUcBRoFGQUWBRQFEgUPBQ0FCgUHBQQFAQT9BPoE9gTyBO4E6gTlBOEE3ATXBNIEzQTIBMIEvQS3BLIErASnBKEEmwSWBJAEigSFBH8EegR1BG8EagRlBGAEXARXBFMETgRKBEYEQwQ/BDwEOAQ1BDMEMAQtBCsEKQQnBCUEJAQjBCEEIAQfBB8EHgQdBB0EHQQcBBwEHAQcBBwEHAQcBBwEHAQcBBsEGwQbBBoEGQQYBBcEFgQUBBMEEQQOBAwECQQGBAID/wP7A/YD8gPtA+gD4gPdA9cD0QPKA8QDvQO2A7ADqQOiA5sDlAOOA4cDgQN7A3UDcANrA2YDYgNeA1sDWQNXA1UDVQNVA1YDVwNZA1wDYANlA2oDcAN2A30DhQOOA5cDoAOqA7QDvwPKA9UD4QPsA/gEAwQPBBoEJQQvBDkEQwRMBFUEXQRkBGoEcAR1BHgEewR9BH4EfgR9BHsEeAR0BG8EagRjBFsEUwRKBEAENQQqBB4EEgQFA/gD6wPeA9ADwgO0A6cDmQOMA38DcgNmA1oDTgNDAzgDLwMlAxwDFAMNAwYC/wL6AvUC8ALsAukC5gLjAuEC4ALfAt4C3QLdAt0C3QLeAt4C3gLfAt8C4ALgAuAC4QLhAuEC4ALgAt8C3gLeAtwC2wLaAtgC1wLVAtMC0QLQAs4CzALKAskCxwLGAsUCwwLDAsICwgLCAsICwwLEAsUCxwLJAssCzgLRAtQC1wLbAuAC5ALpAu0C8wL4Av0DAwMIAw4DFAMaAx8DJQMrAzADNgM7A0ADRQNJA04DUgNWA1oDXgNhA2QDZwNqA2wDbgNwA3IDdAN1A3YDdwN4A3kDegN7A3sDfAN9A30DfgN+A38DgAOBA4IDgwOEA4UDhwOIA4oDjAONA48DkgOUA5YDmQObA54DoQOkA6cDqgOsA7ADswO2A7kDvAO/A8IDxQPHA8oDzQPPA9ID1APXA9kD2wPdA94D4APiA+MD5APlA+YD5wPoA+gD6QPpA+kD6gPqA+oD6QPpA+kD6APoA+cD5wPmA+UD5APkA+MD4gPhA+AD3wPeA94D3QPcA9sD2gPZA9gD2APXA9YD1QPVA9QD1APTA9MD0wPTA9ID0gPSA9MD0wPTA9QD1APVA9YD1wPYA9kD2gPcA90D3wPhA+MD5QPnA+oD7QPvA/ID9QP5A/wEAAQDBAcECwQPBBMEGAQcBCEEJQQqBC8ENAQ5BD0EQwRIBE0EUgRXBFwEYQRnBGwEcQR2BHsEgASEBIkEjgSTBJcEnASgBKUEqQStBLEEtgS5BL0EwQTFBMgEzATQBNME1gTaBN0E4ATkBOcE6gTtBPAE8wT2BPkE/QUABQMFBgUJBQwFDwUSBRUFGQUcBR8FIgUlBSgFKwUvBTIFNQU4BTsFPgVABUMFRgVJBUsFTgVQBVMFVQVXBVkFWwVdBV8FYAViBWQFZQVmBWcFaQVqBWsFbAVsBW0FbgVvBXAFcAVxBXIFcwVzBXQFdQV2BXcFeAV5BXoFewV8BX4FfwWBBYIFhAWGBYcFiQWLBY0FjwWRBZMFlgWYBZoFnAWfBaEFowWmBagFqgWsBa8FsQWzBbUFtwW5BbsFvQW/BcEFwwXEBcYFyAXJBcoFzAXNBc8F0AXRBdMF1AXVBdYF2AXZBdoF2wXdBd4F4AXhBeIF5AXmBecF6QXrBewF7gXwBfIF9AX2BfgF+gX9Bf8GAQYEBgYGCAYLBg0GEAYSBhUGFwYaBhwGHwYhBiQGJgYoBisGLQYvBjEGNAY2BjgGOgY7Bj0GPwZBBkIGRAZGBkcGSAZKBksGTAZNBk4GTwZQBlEGUgZSBlMGVAZUBlUGVgZWBlcGWAZYBlkGWQZaBlsGWwZcBl0GXgZfBmAGYgZjBmQGZgZoBmkGawZtBnAGcgZ0BncGegZ9BoAGgwaGBooGjQaRBpUGmQadBqEGpQaqBq4Gswa3BrwGwAbFBskGzgbTBtcG3AbgBuUG6QbtBvIG9gb6Bv4HAgcGBwoHDgcSBxYHGQcdByEHJQcpBy0HMQc1BzkHPQdCB0YHSwdQB1UHWwdhB2YHbQdzB3oHgQeJB5EHmQehB6oHswe9B8YH0AfbB+UH8Af7CAYIEQgcCCgIMwg+CEoIVQhgCGsIdQiACIoIkwidCKUIrgi1CLwIwwjJCM4I0wjXCNoI3QjfCOAI4AjgCN8I3QjaCNcI0wjPCMoIxAi+CLgIsQipCKEImQiRCIkIgAh4CG8IZgheCFUITQhFCD0INQguCCcIIAgaCBQIDwgKCAUIAQf+B/sH+Af2B/UH9AfzB/MH8wfzB/QH9gf3B/kH+wf+CAEIAwgGCAoIDQgQCBMIFwgbCB4IIgglCCgILAgvCDIINQg5CDwIPghBCEQIRghJCEsITghQCFIIVAhWCFgIWghcCF4IXwhhCGMIZAhmCGcIaQhrCGwIbQhvCHAIcghzCHQIdgh3CHgIeQh6CHwIfQh+CH8IgAiBCIEIggiDCIQIhQiGCIcIhwiICIkIigiKCIsIjAiNCI4IjwiQCJEIkwiUCJYIlwiZCJsInAieCKAIowilCKcIqQisCK8IsQi0CLcIuQi8CL8IwQjECMcIyQjMCM4I0QjTCNUI1wjYCNoI2wjcCN0I3gjfCN8I4AjgCN8I3wjeCN0I3AjbCNoI2QjXCNUI0wjSCNAIzQjLCMoIyAjFCMQIwgjACL4IvQi7CLoIuQi4CLcItwi2CLYItgi2CLcItwi4CLkIugi7CL0IvgjACMEIwwjFCMcIyQjLCMwIzgjQCNII0wjVCNYI2AjZCQMJBAkECQQJBQkFCQUJBAkECQMJAgkBCP8I/gj9CPsI+gj4CPYI9QjzCPII8AjvCO4I7QjsCOsI6wjrCOsI6wjsCO0I7gjwCPEI8wj2CPgI+wj+CQEJBAkICQwJDwkTCRcJGwkfCSMJJwkrCS4JMgk1CTgJOwk+CUAJQglECUYJRwlICUkJSglKCUoJSQlICUcJRglECUIJQAk+CTwJOQk2CTMJMAktCSkJJgkiCR8JGwkXCRQJEAkMCQkJBQkBCP4I+gj2CPMI8AjsCOgI5QjiCN4I2wjXCNMI0AjMCMkIxQjCCL4Iugi2CLIIrgiqCKYIogieCJoIlQiRCI0IiAiECH8Iewh2CHEIbQhoCGQIXwhbCFcIUghOCEoIRQhBCD0IOQg1CDEILQgpCCUIIQgdCBoIFggSCA8ICwgHCAMIAAf8B/gH9AfxB+0H6QflB+EH3QfZB9UH0AfMB8cHwwe+B7oHtQewB6sHpgehB5wHlweSB40HiAeDB34HeQdzB24HaQdkB18HWgdVB1AHSwdGB0EHPAc3BzIHLgcpByUHIAccBxgHEwcPBwsHBwcDBv8G+wb3BvMG7wbrBugG5AbgBt0G2QbVBtIGzgbKBscGwwbABrwGuQa1BrIGrgarBqgGpAahBp4GmwaYBpUGkgaPBowGiQaGBoMGgQZ+BnwGeQZ3BnQGcgZwBm4GbAZqBmgGZQZjBmEGXwZdBlsGWQZXBlUGUwZRBk4GTAZJBkcGRAZBBj4GOwY4BjQGMQYtBikGJQYhBh0GGQYVBhAGDAYHBgIF/gX5BfQF7wXrBeYF4QXdBdgF1AXQBcsFxwXDBb8FvAW4BbUFsgWvBawFqQWmBaQFoQWfBZ0FmwWZBZgFlgWUBZMFkQWQBY4FjAWLBYkFiAWGBYQFgwWBBX8FfQV7BXkFdgV0BXIFbwVsBWoFZwVkBWIFXwVcBVkFVwVUBVEFTwVMBUkFRwVFBUIFQAU+BTwFOgU4BTYFNAUzBTEFLwUuBSwFKwUpBSgFJgUkBSMFIQUfBR0FGwUZBRYFEwURBQ4FCwUHBQQFAAT8BPgE9ATvBOsE5gThBNwE1wTRBMwExgTBBLsEtQSvBKoEpASeBJkEkwSNBIgEggR9BHgEcwRuBGkEZARfBFsEVgRSBE4ESgRGBEIEPgQ7BDcENAQxBC0EKgQnBCQEIQQfBBwEGQQWBBQEEQQPBAwECgQIBAYEAwQCBAAD/gP8A/sD+QP4A/YD9QP0A/MD8gPyA/ED8APwA+8D7wPuA+4D7QPtA+wD6wPrA+oD6QPnA+YD5APiA+AD3gPbA9gD1QPRA80DyQPFA8ADugO1A68DqQOjA5wDlgOPA4gDgQN6A3MDbANlA18DWANSA0wDRwNCAz4DOgM3AzQDMgMwAzADMAMxAzMDNQM5Az0DQgNHA04DVQNcA2UDbgN3A4EDiwOWA6EDrAO3A8IDzgPZA+MD7gP4BAIECwQTBBsEIgQoBC4EMgQ2BDkEOgQ7BDoEOQQ2BDIELgQoBCEEGgQRBAgD/gP0A+gD3QPQA8QDtgOpA5sDjgOAA3MDZQNYA0sDPwMzAycDHAMRAwcC/gL1Au0C5QLeAtgC0wLOAsoCxwLEAsECvwK+Ar0CvQK8Ar0CvQK9Ar4CvwK/AsACwQLCAsICwgLDAsMCwgLCAsECwAK/Ar0CuwK5ArcCtQKyAq8CrAKqAqcCpAKhAp4CmwKZApcClQKTApECkAKPAo8CjwKPApACkQKTApUCmAKbAp8CowKoAqwCsgK3Ar0CwwLKAtAC1wLeAuUC7ALzAvoDAQMIAw4DFQMbAyEDJwMsAzEDNgM7Az8DQgNGA0kDSwNOA1ADUQNTA1QDVANVA1UDVQNVA1UDVQNUA1QDUwNTA1IDUgNRA1EDUQNRA1EDUgNSA1MDVANVA1cDWANbA10DXwNiA2UDaANrA24DcgN2A3oDfgOCA4YDiwOPA5MDmAOcA6EDpQOqA64DsgO2A7oDvgPCA8YDyQPNA9AD0wPVA9gD2wPdA98D4QPjA+UD5gPnA+kD6gPrA+sD7APsA+0D7QPtA+0D7QPtA+wD7APsA+sD6wPqA+kD6QPoA+cD5gPmA+UD5APjA+MD4gPhA+AD4APfA94D3gPdA90D3QPcA9wD3APcA9wD3APcA9wD3QPdA94D3gPfA+AD4QPiA+MD5QPmA+gD6gPrA+4D8APyA/QD9wP5A/wD/wQCBAUECAQLBA8EEgQVBBkEHQQhBCQEKQQtBDEENQQ5BD0EQQRGBEoETgRTBFcEWwRgBGQEaQRtBHIEdgR6BH8EgwSHBIwEkASUBJgEnQShBKUEqQStBLEEtQS4BLwEwATEBMgEywTPBNME1gTaBN4E4QTlBOgE7ATwBPME9wT6BP4FAQUFBQkFDAUQBRMFFgUaBR0FIQUkBScFKgUtBTAFMwU2BTkFPAU+BUAFQwVFBUcFSQVKBUwFTQVPBVAFUAVRBVIFUgVTBVMFUwVTBVMFUgVSBVEFUQVQBU8FTwVOBU0FTAVMBUsFSgVKBUkFSQVJBUgFSAVIBUgFSQVJBUoFSwVMBU0FTgVPBVEFUgVUBVYFWAVaBV0FXwVhBWQFZwVpBWwFbwVyBXUFdwV6BX0FgAWDBYYFiAWLBY4FkQWTBZYFmQWbBZ4FoAWjBaUFqAWqBa0FrwWyBbQFtwW5BbwFvgXBBcQFxwXJBcwFzwXSBdUF2AXbBd8F4gXlBekF7AXwBfMF9wX7Bf4GAgYFBgkGDQYRBhQGGAYcBh8GIwYmBioGLQYxBjQGNwY6Bj0GQAZDBkYGSAZLBk4GUAZSBlQGVgZYBloGXAZeBl8GYQZiBmMGZAZlBmYGZwZoBmgGaQZpBmoGagZqBmoGagZqBmoGagZqBmoGagZqBmoGaQZpBmkGaQZpBmkGaQZpBmoGagZqBmsGbAZsBm0GbwZwBnIGcwZ1BncGeQZ8Bn8GggaFBogGjAaPBpMGmAacBqEGpgarBrAGtga7BsEGxwbNBtMG2gbgBuYG7Qb0BvoHAQcHBw4HFAcbByEHKAcuBzUHOwdBB0cHTQdTB1kHXwdkB2oHcAd1B3sHgAeGB4wHkQeXB50HoweoB68HtQe7B8IHyQfQB9cH3gfmB+4H9gf/CAcIEAgZCCMILAg2CEAISghVCF8IaQh0CH4IiAiSCJwIpgiwCLkIwgjLCNMI2wjiCOgI7gj0CPkI/QkACQMJBQkGCQcJBgkFCQMJAQj9CPkI9AjvCOkI4gjbCNMIywjCCLkIsAimCJwIkgiICH4IdAhqCGAIVghNCEMIOggyCCoIIggbCBQIDggICAMH/gf6B/cH9AfxB/AH7gftB+0H7QfuB+8H8AfyB/QH9wf5B/wH/wgDCAYICggOCBIIFggaCB4IIggmCCoILggyCDYIOgg+CEIIRQhJCEwIUAhTCFcIWghdCGAIYwhmCGkIbAhvCHEIdAh2CHkIewh+CIAIggiECIYIhwiJCIsIjAiOCI8IkAiRCJIIkgiTCJQIlAiUCJUIlQiVCJUIlQiVCJUIlQiVCJUIlQiVCJYIlgiXCJcImAiZCJsInQieCKAIowilCKgIrAivCLMItwi7CMAIxQjKCM8I1QjbCOAI5gjtCPMI+Qj/CQYJDAkSCRgJHgkkCSoJLwk0CTkJPQlBCUUJSAlLCU4JUAlRCVMJUwlUCVMJUwlSCVAJTglMCUkJRglDCT8JPAk3CTMJLwkqCSYJIQkcCRgJEwkPCQsJBgkCCP4I+wj4CPUI8gjvCO0I6wjqCOkI6AjoCOcI5wjoCOgI6QjqCOsI7QjuCPAI8gjzCPUI9wj5CPsI/Aj+CP8JAQkCCTkJOwk9CT4JPwlACUAJQAlBCUAJQAk/CT8JPgk8CTsJOgk4CTcJNgk0CTMJMQkwCS8JLgkuCS0JLQktCS0JLgkuCTAJMQkzCTUJNwk5CTwJPwlCCUYJSQlNCVEJVQlZCV0JYQllCWgJbAlwCXMJdgl5CXwJfgmACYIJhAmFCYYJhwmHCYcJhgmFCYQJgwmBCX8JfQl7CXgJdQlyCW8JbAloCWUJYQleCVoJVglSCU8JSwlICUQJQAk9CToJNgkzCTAJLQkpCSYJIwkgCR0JGQkWCRMJEAkMCQkJBQkCCP4I+gj2CPII7QjpCOQI4AjbCNYI0QjMCMcIwQi8CLYIsQirCKUIoAiaCJQIjgiJCIMIfQh4CHIIbQhnCGIIXQhXCFIITQhICEMIPgg6CDUIMAgsCCcIIggeCBkIFAgQCAsIBwgCB/0H+AfzB+4H6QfkB98H2QfUB88HyQfDB74HuAeyB6wHpgegB5oHlAeOB4gHggd8B3YHcAdqB2QHXgdYB1MHTQdHB0IHPAc3BzIHLQcoByIHHgcZBxQHDwcLBwYHAgb9BvkG9QbxBuwG6AbkBuAG3AbYBtQG0AbMBsgGxAbABrwGtwazBq8GqwanBqMGngaaBpYGkgaNBokGhQaBBnwGeAZ0BnAGawZnBmMGXwZbBlgGVAZQBk0GSQZGBkMGQAY9BjoGNwY1BjMGMAYuBiwGKgYpBicGJQYkBiIGIQYfBh4GHQYbBhoGGAYXBhUGEwYRBg8GDQYLBgkGBgYDBgAF/QX6BfcF8wXvBesF5wXjBd8F2gXWBdEFzQXIBcMFvwW6BbUFsQWsBagFowWfBZsFlwWTBY8FjAWIBYUFggV/BX0FegV4BXYFcwVxBW8FbgVsBWoFaAVnBWUFYwVhBWAFXgVcBVoFWAVVBVMFUQVOBUwFSQVGBUMFQQU+BTsFOAU1BTIFLwUsBSoFJwUkBSIFHwUdBRsFGQUYBRYFFQUUBRMFEgURBREFEAUQBRAFEAUQBRAFEAUPBQ8FDwUPBQ8FDgUNBQwFCwUKBQgFBgUEBQEE/wT8BPgE9ATwBOwE5wTjBN0E2ATTBM0ExwTBBLsEtQSuBKgEogScBJUEjwSJBIQEfgR4BHMEbgRpBGQEXwRbBFcEUwRPBEsESARFBEIEPwQ8BDkENgQ0BDEELgQsBCkEJgQkBCEEHgQbBBgEFQQSBA8ECwQIBAQEAQP9A/kD9gPyA+8D6wPnA+QD4QPeA9sD2APVA9MD0APOA80DywPJA8gDyAPHA8YDxgPGA8YDxgPGA8cDxwPIA8gDyAPIA8gDyAPIA8cDxgPFA8QDwgO/A70DuQO2A7IDrQOoA6MDnQOXA5EDigOCA3sDcwNsA2QDXANUA0wDRAM9AzYDLwMoAyIDHQMYAxQDEAMOAwwDCwMKAwsDDAMPAxIDFgMbAyEDKAMvAzcDQANKA1QDXgNpA3QDfwOKA5YDoQOsA7cDwQPLA9UD3gPmA+0D8wP5A/4EAQQEBAYEBgQFBAMEAAP8A/cD8QPqA+ID2QPQA8UDugOvA6IDlgOJA3sDbgNhA1MDRgM5AywDHwMTAwcC/ALyAugC3gLWAs4CxwLAArsCtgKxAq4CqwKpAqcCpgKlAqUCpQKlAqYCpgKnAqgCqgKqAqsCrAKtAq0CrgKtAq0CrAKrAqoCqAKmAqQCoQKfApwCmAKVApECjQKJAoYCggJ+AnsCeAJ0AnICbwJtAmsCagJpAmkCaQJqAmsCbQJvAnICdgJ6An4CgwKIAo4ClAKbAqICqQKwArcCvwLHAs4C1gLdAuUC7ALzAvoDAAMHAw0DEgMYAxwDIQMlAykDLAMvAzEDMwM1AzYDNwM4AzkDOQM5AzkDOQM4AzgDNwM3AzYDNgM1AzUDNQM1AzUDNgM2AzcDOAM5AzsDPAM+A0ADQwNGA0gDTANPA1IDVgNaA14DYgNmA2oDbgNzA3cDewOAA4QDiQONA5EDlQOZA50DoQOlA6gDrAOvA7MDtgO5A7wDvwPBA8QDxgPIA8sDzQPPA9ED0gPUA9UD1wPYA9oD2wPcA90D3gPfA+AD4QPiA+MD4wPkA+UD5QPmA+YD5wPnA+gD6APoA+kD6QPpA+oD6gPqA+oD6wPrA+sD7APsA+0D7QPuA+4D7wPvA/AD8QPxA/ID8wP0A/UD9gP3A/gD+QP6A/sD/AP+A/8EAAQCBAMEBAQGBAcECQQKBAwEDQQPBBAEEgQUBBUEFwQYBBoEHAQdBB8EIQQjBCUEJwQpBCsELQQvBDEENAQ2BDkEPAQ+BEEERARHBEoETgRRBFUEWARcBF8EYwRnBGsEbwRzBHgEfASABIQEiQSNBJIElgSaBJ8EowSoBKwEsAS1BLkEvQTBBMYEygTOBNIE1QTZBN0E4QTkBOgE6wTvBPIE9QT4BPsE/gUBBQQFBwUKBQwFDgURBRMFFQUXBRkFGwUdBR8FIAUiBSMFJAUlBSYFJwUoBSkFKQUqBSoFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUsBSwFLAUtBS4FLgUvBTAFMQUzBTQFNgU3BTkFOwU9BT8FQQVDBUUFSAVKBU0FTwVSBVQFVwVZBVwFXgVhBWMFZQVoBWoFbAVuBXAFcgV0BXYFeAV6BXsFfQV/BYEFgwWEBYYFiAWKBYwFjgWQBZMFlQWYBZoFnQWgBaMFpgWpBa0FsAW0BbgFvAXABcUFyQXNBdIF1wXcBeAF5QXqBe8F9AX5Bf4GAwYIBg0GEgYWBhsGIAYkBikGLQYxBjUGOQY9BkAGRAZHBkoGTQZQBlMGVgZYBloGXAZeBmAGYgZjBmQGZgZnBmgGaQZqBmoGawZrBmsGbAZsBmwGbAZsBmwGbAZsBmwGawZrBmsGawZqBmoGagZqBmoGagZqBmoGagZqBmoGawZrBmwGbQZuBm8GcAZyBnMGdQZ3BnkGfAZ/BoIGhQaIBowGkAaUBpgGnQaiBqcGrAayBrgGvgbEBssG0gbZBuAG5wbvBvYG/gcGBw4HFgceByYHLgc3Bz8HRwdPB1cHXwdnB28Hdwd/B4YHjQeVB5wHoweqB7AHtwe9B8QHygfQB9YH3AfiB+gH7gfzB/kH/wgFCAsIEQgXCB0IJAgqCDEINwg+CEUITQhUCFwIYwhrCHMIewiCCIoIkgiaCKIIqgiyCLkIwAjHCM4I1AjaCN8I5AjpCO0I8AjzCPUI9wj3CPgI9wj2CPQI8QjuCOoI5QjgCNoI0wjMCMUIvQi0CKsIogiZCI8Ihgh8CHIIaAhfCFUITAhCCDoIMQgpCCEIGggTCA0IBwgBB/0H+Qf1B/IH7wftB+wH6wfqB+sH6wfsB+4H7wfxB/QH9wf6B/0IAQgFCAkIDQgRCBYIGggfCCQIKQgtCDIINwg8CEEIRghLCFAIVQhaCF8IZAhpCG4Icwh4CH0IgQiGCIsIkAiUCJgInQihCKUIqQisCLAIswi2CLkIvAi/CMEIwwjECMYIxwjICMkIyQjJCMkIyQjJCMgIyAjHCMYIxQjECMMIwgjBCMEIwAi/CL8Ivwi/CMAIwQjCCMMIxQjICMoIzQjRCNUI2QjeCOQI6QjvCPYI/QkECQsJEwkbCSMJKwk0CTwJRQlNCVYJXglmCW4Jdgl9CYQJiwmRCZcJnAmhCaUJqQmsCa4JsAmxCbIJsgmyCbAJrwmsCakJpgmiCZ4JmQmUCY4JiAmCCXwJdQlvCWgJYQlaCVQJTQlHCUEJOwk1CTAJKwkmCSIJHgkaCRcJFQkSCREJDwkPCQ4JDgkPCQ8JEQkSCRQJFgkYCRoJHQkgCSIJJQkoCSsJLgkwCTMJNQk3CYAJggmECYYJiAmJCYoJiwmMCYwJjAmMCYsJiwmKCYkJhwmGCYUJgwmCCYAJfwl9CXwJewl6CXkJeAl4CXcJdwl3CXcJeAl5CXoJewl8CX4JgAmBCYMJhQmICYoJjAmOCZEJkwmVCZcJmQmaCZwJnQmeCZ8JoAmgCaAJoAmgCZ8JngmdCZsJmgmYCZYJkwmRCY4JiwmJCYYJgwmACX0Jegl3CXQJcQluCWsJaAlmCWMJYQleCVwJWglYCVYJVAlRCU8JTQlLCUkJRwlFCUIJQAk9CToJNwk0CTAJLAkoCSQJIAkbCRYJEAkLCQUI/wj4CPII6wjkCN0I1gjOCMcIvwi4CLAIqQihCJoIkgiLCIQIfQh2CG8IaAhiCFsIVQhPCEkIRAg+CDkIMwguCCkIJAggCBsIFggRCA0ICAgDB/8H+gf1B/AH6wfnB+EH3AfXB9IHzAfHB8EHvAe2B7AHqgekB54HmAeSB4wHhgeAB3oHdAduB2gHYgdcB1cHUQdLB0YHQAc7BzUHMAcrByYHIQccBxcHEgcNBwgHBAb/BvoG9gbxBu0G6AbkBt8G2wbWBtEGzQbIBsQGvwa7BrYGsQatBqgGowaeBpoGlQaQBosGhgaBBnwGdwZyBm0GaAZjBl4GWQZUBk8GSgZFBkAGOwY2BjIGLQYoBiQGHwYbBhcGEwYPBgsGBwYEBgAF/QX6BfcF9AXyBe8F7QXrBekF5wXlBeQF4gXhBd8F3gXcBdsF2QXYBdYF1AXSBdEFzwXNBcoFyAXFBcIFwAW9BbkFtgWzBa8FqwWnBaQFoAWbBZcFkwWPBYsFhwWDBX8FfAV4BXQFcQVuBWsFaAVlBWIFYAVdBVsFWQVXBVUFVAVSBVAFTwVNBUsFSgVIBUYFRAVCBUAFPgU7BTgFNgUzBS8FLAUoBSUFIQUdBRkFFQURBQwFCAUEBQAE/AT4BPQE8ATtBOoE5wTkBOIE4ATeBNwE2wTaBNoE2QTaBNoE2wTcBN0E3gTgBOEE4wTkBOYE6ATpBOsE7ATtBO4E7wTvBO8E7wTvBO0E7ATqBOgE5QTjBN8E2wTXBNMEzgTJBMQEvwS5BLMErQSnBKEEmwSVBJAEigSEBH8EeQR0BG8EagRmBGIEXgRaBFcEUwRQBE4ESwRIBEYERARCBEAEPgQ8BDoEOAQ2BDMEMQQuBCwEKQQmBCMEHwQbBBgEEwQPBAoEBgQBA/sD9gPxA+sD5gPgA9sD1QPQA8sDxgPBA7wDuAOzA68DrAOoA6YDowOhA58DnQOcA5sDmwObA5sDmwObA5wDnQOeA58DoAOhA6EDogOiA6MDowOiA6EDoAOfA5wDmgOXA5MDjwOLA4YDgAN6A3MDbANlA10DVQNNA0UDPQM0AywDJAMcAxQDDAMGAv8C+QL0Au8C7ALpAucC5QLlAuYC5wLqAu0C8gL3Av4DBQMNAxUDHwMpAzMDPgNJA1UDYQNtA3gDhAOPA5oDpQOvA7gDwAPIA88D1QPaA94D4QPjA+MD4wPhA94D2gPVA88DyAPAA7gDrgOkA5kDjQOBA3UDaANcA08DQgM1AykDHAMQAwUC+gLvAuUC3ALUAswCxAK+ArgCswKvAqsCqAKlAqMCogKhAqACoAKgAqACoAKhAqICogKiAqMCowKjAqMCogKhAqACngKcApoCmAKVApECjgKKAoYCggJ+AnkCdQJwAmwCZwJjAl8CWwJXAlQCUQJPAk0CTAJLAkoCSwJLAk0CTgJRAlQCVwJbAmACZQJqAnACdgJ8AoMCigKRApgCnwKmAq0CtQK7AsICyQLPAtYC3ALhAuYC6wLwAvQC+AL7Av8DAQMEAwYDCAMKAwsDDAMNAw4DDwMPAxADEAMQAxEDEgMSAxMDFAMVAxYDFwMYAxoDHAMeAyADIgMlAycDKgMuAzEDNAM4AzsDPwNDA0YDSgNOA1IDVgNaA14DYQNlA2kDbANwA3MDdgN6A30DgAODA4YDiAOLA40DkAOSA5UDlwOZA5sDngOgA6IDpAOmA6gDqgOsA64DsAOyA7QDtgO4A7oDvAO+A8ADwQPDA8UDxwPJA8oDzAPOA88D0QPSA9QD1QPWA9gD2QPaA9sD3APdA94D3wPgA+ED4gPjA+QD5QPmA+cD6APpA+oD6wPsA+0D7gPvA/ED8gPzA/QD9gP3A/gD+gP7A/wD/gP/BAAEAQQCBAMEBAQFBAYEBwQIBAgECQQJBAoECgQKBAoECgQKBAoECgQKBAoECgQJBAkECQQJBAkECQQKBAoECgQLBAwEDQQOBA8EEQQTBBUEFwQZBBwEHwQiBCUEKQQtBDAENQQ5BD0EQgRGBEsEUARVBFoEXwRkBGkEbgRyBHcEfASABIUEiQSOBJIElgSZBJ0EoQSkBKcEqgStBLAEsgS1BLcEuQS7BL0EvwTABMIExATFBMcEyATJBMsEzATNBM8E0ATRBNME1ATWBNcE2ATaBNsE3QTeBOAE4QTjBOUE5gToBOoE7ATtBO8E8QTzBPUE9wT5BPsE/QUABQIFBAUHBQkFDAUOBREFFAUXBRoFHAUfBSMFJgUpBSwFLwUyBTUFOAU8BT8FQgVFBUgFSgVNBVAFUgVVBVcFWQVbBV0FXwVgBWIFYwVlBWYFZwVoBWkFaQVqBWsFbAVtBW0FbgVvBXAFcQVyBXMFdQV2BXgFegV8BX8FgQWEBYcFigWNBZAFlAWYBZwFoAWkBakFrQWyBbcFvAXBBcYFzAXRBdYF2wXhBeYF6wXwBfYF+wYABgUGCgYPBhMGGAYcBiEGJQYpBi0GMQY0BjgGOwY+BkEGRAZHBkoGTAZOBlEGUwZUBlYGWAZZBlsGXAZdBl4GXwZgBmAGYQZhBmIGYgZiBmMGYwZjBmQGZAZkBmQGZQZlBmYGZgZnBmgGaAZpBmoGawZtBm4GcAZyBnMGdQZ4BnoGfAZ/BoIGhQaIBosGjwaTBpYGmwafBqMGqAasBrEGtga7BsEGxgbMBtIG2AbeBuQG6wbxBvgG/wcGBw0HFAccByMHKwcyBzoHQgdKB1IHWgdiB2oHcgd6B4IHigeSB5kHoQepB7AHtwe/B8YHzQfTB9oH4AfnB+0H8wf4B/4IAwgJCA4IEwgYCB0IIggnCCwIMAg1CDoIPghDCEgITQhSCFcIXAhhCGYIawhwCHYIewiACIYIiwiQCJYImwigCKQIqQitCLEItQi5CLwIvgjACMIIwwjECMQIxAjDCMIIwAi9CLoItgiyCK0IqAiiCJwIlgiPCIcIgAh4CHAIaAhgCFgIUAhJCEEIOQgyCCsIJAgeCBgIEggNCAgIBAgBB/0H+wf4B/cH9gf1B/UH9Qf2B/cH+Af6B/wH/wgCCAUICQgMCBAIFAgZCB0IIggmCCsIMAg1CDsIQAhFCEsIUQhWCFwIYghoCG4IdAh7CIEIhwiOCJUImwiiCKkIrwi2CL0IwwjKCNAI1wjdCOMI6QjuCPMI+Qj9CQIJBgkKCQ0JEQkUCRYJGAkaCRwJHQkeCR4JHwkfCR8JHwkeCR4JHgkdCR0JHQkcCRwJHAkdCR0JHgkfCSEJIwklCScJKgkuCTIJNgk7CUAJRQlLCVEJVwleCWUJbAl0CXsJgwmLCZIJmgmiCaoJsQm4Cb8JxgnMCdIJ2AndCeIJ5gnqCe4J8AnzCfUJ9gn2CfYJ9gn1CfMJ8QnuCesJ5wnjCd4J2QnUCc4JyAnCCbwJtQmuCacJoAmaCZMJjAmFCX8JeQlyCW0JZwliCV0JWQlVCVEJTglLCUkJRwlGCUUJRAlECUUJRglHCUgJSglNCU8JUglVCVgJWwlfCWIJZglqCW0JcQl0CXcJegl9CcwJzQnPCdAJ0gnSCdMJ0wnTCdMJ0gnSCdEJzwnOCc0JywnJCccJxQnDCcEJvwm9CbsJuQm3CbYJtAmzCbEJsAmvCa4JrQmtCawJrAmsCawJrAmsCawJrQmtCa0JrQmuCa4JrgmuCa4JrgmuCa0JrQmsCasJqgmpCacJpQmjCaEJnwmdCZoJmAmVCZMJkAmNCYoJhwmECYIJfwl8CXoJdwl1CXIJcAluCWwJawlpCWgJZgllCWQJYglhCWAJXwleCV0JXAlaCVkJVwlVCVMJUQlOCUsJSAlFCUEJPQk4CTMJLgkoCSIJHAkVCQ4JBgj/CPcI7wjmCN4I1QjNCMQIuwiyCKoIoQiYCJAIhwh/CHcIcAhoCGEIWghTCE0IRghACDoINQgvCCoIJQggCBwIFwgTCA4ICggGCAEH/Qf5B/QH8AfsB+cH4wfeB9kH1AfPB8oHxQfAB7sHtQewB6sHpQefB5oHlAePB4kHhAd/B3kHdAdvB2kHZAdfB1oHVQdQB0sHRgdCBz0HOAczBy8HKgclByAHGwcXBxIHDQcIBwMG/gb5BvQG7gbpBuQG3gbZBtMGzgbIBsMGvQa4BrIGrQanBqIGnAaXBpEGjAaGBoEGfAZ2BnEGawZmBmEGWwZWBlAGSwZGBkAGOgY1BjAGKgYkBh8GGQYUBg4GCQYDBf4F+AXzBe4F6QXkBd8F2gXVBdEFzAXIBcQFwAW8BbkFtQWyBa8FqwWoBaYFowWgBZ4FmwWZBZYFlAWRBY8FjAWKBYcFhAWBBX4FewV4BXUFcgVuBWsFaAVkBWAFXQVZBVUFUgVOBUoFRwVEBUAFPQU6BTcFNQUyBTAFLgUsBSsFKQUoBSYFJQUkBSQFIwUiBSIFIQUhBSAFHwUeBR0FHAUbBRkFFwUVBRMFEQUOBQsFBwUEBQAE/AT4BPME7wTqBOUE4ATbBNYE0QTMBMgEwwS/BLoEtwSzBLAErQSqBKgEpgSlBKMEowSiBKIEowSkBKUEpgSnBKkEqwStBK8EsQSzBLUEtwS5BLsEvAS9BL4EvwS/BMAEvwS/BL4EvQS7BLkEtwS0BLEErgSrBKcEowSfBJsElwSSBI4EiQSFBIEEfAR4BHQEcARsBGkEZQRiBF8EXARZBFcEVARSBFAETgRNBEsESQRIBEYERQRDBEIEQAQ+BDwEOgQ4BDUEMwQwBC0EKQQlBCEEHQQZBBQEDwQJBAQD/gP4A/ID6wPlA94D1wPQA8kDwwO8A7UDrwOoA6IDnAOXA5EDjAOHA4MDfwN7A3gDdQNyA3ADbwNtA2wDawNrA2sDawNrA2sDbANsA2wDbQNtA20DbQNtA2wDawNqA2gDZgNkA2EDXQNZA1QDUANKA0QDPgM3AzADKQMiAxoDEgMLAwMC+wL0Au0C5gLfAtkC1ALPAssCxwLFAsMCwgLDAsMCxQLIAswC0QLXAt0C5QLtAvYC/wMJAxQDHwMqAzYDQQNNA1kDZANvA3oDhAONA5YDngOlA6wDsQO1A7gDuwO8A7wDuwO5A7UDsQOsA6YDnwOXA48DhgN8A3IDZwNcA1EDRgM7AzADJQMaAw8DBQL7AvIC6QLhAtkC0gLLAsUCwAK7ArcCswKwAq4CqwKqAqgCpwKmAqUCpAKkAqMCogKhAqACnwKeApwCmwKYApYCkwKRAo0CigKGAoICfgJ5AnQCcAJrAmYCYQJdAlgCVAJPAksCSAJEAkECPwI9AjsCOgI5AjkCOQI6AjsCPQI/AkICRQJJAk0CUQJWAlsCYAJmAmsCcQJ2AnwCggKIAo4CkwKYAp4CowKoAqwCsQK1ArgCvAK/AsICxQLHAskCywLNAs8C0ALRAtIC1ALVAtYC1wLYAtkC2gLbAtwC3gLgAuEC4wLlAugC6gLtAvAC8wL2AvoC/QMBAwQDCAMMAxADFAMYAxwDIAMlAykDLAMwAzQDOAM7Az8DQgNGA0kDTANPA1IDVQNXA1oDXANfA2EDZANmA2gDawNtA28DcgN0A3YDeQN7A34DgAODA4YDiAOLA44DkAOTA5YDmQObA54DoQOjA6YDqAOrA60DrwOxA7MDtQO3A7kDugO8A70DvgO/A8ADwQPCA8MDwwPEA8UDxQPFA8YDxgPHA8cDxwPIA8gDyQPJA8oDywPLA8wDzQPOA88D0APRA9ID1APVA9YD2APZA9oD3APdA94D4APhA+ID4wPkA+UD5gPnA+gD6APpA+kD6QPpA+kD6QPpA+gD6APnA+YD5gPlA+UD5APjA+ID4gPhA+ED4QPhA+ED4QPhA+ID4wPkA+UD5wPpA+sD7QPwA/MD9gP5A/0EAQQFBAkEDQQSBBYEGwQgBCQEKQQuBDMENwQ8BEAERQRJBE0EUARUBFcEWwRdBGAEYwRlBGcEaQRqBGwEbQRuBG8EbwRwBHEEcQRyBHIEcgRzBHMEcwR0BHQEdQR1BHYEdwR4BHkEewR8BH0EfwSBBIMEhQSHBIkEjASOBJEEkwSWBJkEnASfBKIEpQSoBKwErwSyBLYEuQS9BMAExATHBMsEzwTTBNcE2gTeBOIE5gTqBO8E8wT3BPsE/wUDBQcFCwUPBRMFFwUbBR8FIwUmBSoFLQUxBTQFNwU6BTwFPwVBBUQFRgVIBUoFTAVOBVAFUgVUBVUFVwVZBVsFXAVeBWAFYgVkBWYFaQVrBW4FcAVzBXYFeQV8BX8FggWGBYkFjQWQBZQFmAWcBaAFpAWoBawFsAW0BbcFuwW/BcMFxwXLBc8F0gXWBdoF3gXhBeUF6QXsBfAF9AX3BfsF/wYCBgYGCQYNBhEGFAYYBhsGHwYiBiUGKQYsBi8GMgY1BjgGOgY9Bj8GQgZEBkYGSAZKBksGTQZPBlAGUQZSBlMGVAZVBlYGVwZYBlkGWgZcBl0GXgZgBmEGYwZlBmcGaQZsBm4GcQZ0BngGewZ/BoIGhgaLBo8GlAaYBp0GoganBqwGsga3BrwGwgbHBs0G0gbYBt0G4wboBu4G8wb4Bv4HAwcJBw4HEwcZBx4HIwcpBy4HMwc5Bz8HRAdKB1AHVQdbB2EHZwdtB3MHegeAB4YHjAeTB5kHoAemB6wHswe5B78HxgfMB9IH2AfdB+MH6QfuB/MH+Af9CAIIBwgLCBAIFAgZCB0IIQglCCkILQgxCDQIOAg8CEAIRAhICEwIUAhUCFgIXAhgCGQIaAhsCG8Icwh3CHoIfgiBCIQIhwiJCIsIjQiOCI8IkAiQCJAIjwiOCI0IiwiICIYIggh/CHsIdwhyCG0IaAhjCF0IWAhSCE0IRwhCCD0IOAgzCC4IKggmCCMIIAgdCBsIGQgXCBYIFggWCBYIFwgYCBoIHAgeCCEIIwgnCCoILggyCDYIOgg+CEMIRwhMCFAIVQhaCF8IZAhpCG8IdAh5CH8IhQiKCJAIlwidCKMIqgixCLgIvwjGCM4I1QjdCOUI7Aj0CPwJBAkMCRQJHAkkCSsJMwk6CUEJRwlOCVQJWglfCWQJaQltCXEJdQl5CXwJfwmBCYQJhgmICYoJjAmOCZAJkgmTCZYJmAmaCZ0JoAmjCaYJqgmuCbIJtwm8CcEJxgnMCdIJ2AneCeUJ6wnyCfgJ/woGCgwKEgoYCh4KJAopCi4KMgo3CjoKPQpACkIKRApFCkYKRgpGCkUKRApCCkAKPQo6CjcKMwovCioKJgohChsKFgoQCgoKBQn/CfkJ8wntCecJ4QnbCdUJzwnKCcUJvwm7CbYJsQmtCakJpQmiCZ4JmwmZCZcJlAmTCZEJkAmQCY8JjwmPCZAJkQmSCZMJlQmXCZkJmwmeCaEJpAmnCaoJrQmwCbMJtgm5CbwJvwnCCcUJxwnKChYKFgoXChcKFwoXChcKFgoVChMKEgoQCg4KDAoJCgcKBAoBCf4J+wn4CfUJ8gnvCewJ6gnnCeQJ4QnfCd0J2gnYCdYJ1QnTCdIJ0AnPCc4JzQnMCcsJygnJCcgJxwnGCcUJxAnDCcIJwQm/Cb4JvAm7CbkJtwm1CbIJsAmuCasJqAmlCaMJoAmdCZoJlwmTCZAJjQmKCYcJhAmBCX8JfAl5CXcJdQlyCXAJbglsCWoJaAlnCWUJYwlhCWAJXglcCVoJWQlXCVUJUglQCU0JSglHCUQJQAk8CTgJMwkuCSkJJAkeCRgJEgkLCQQI/Qj1CO4I5gjeCNYIzgjGCL0ItQitCKUInQiVCI4Ihgh/CHgIcQhqCGQIXQhXCFEITAhGCEEIPAg3CDMILggqCCUIIQgdCBgIFAgQCAsIBwgCB/0H+Qf0B+8H6gfkB98H2QfUB84HyAfDB70HtwexB6sHpQefB5kHlAeOB4gHgwd9B3gHcgdtB2gHYwdeB1kHVAdQB0sHRgdCBz0HOAc0By8HKgclByAHGwcWBxAHCwcFBwAG+gb0Bu4G6AbiBtsG1QbPBsgGwga8BrUGrwapBqIGnAaWBpAGigaEBn4GeQZzBm4GaAZjBl4GWQZTBk4GSQZEBj8GOgY1BjAGKgYlBiAGGwYVBhAGCgYEBf8F+QXzBe0F5wXhBdsF1QXPBckFwgW9BbcFsQWrBaYFoAWbBZYFkAWLBYcFggV+BXkFdQVxBW0FaQVlBWEFXQVaBVYFUgVPBUsFRwVDBUAFPAU4BTQFMAUsBScFIwUfBRsFFgUSBQ4FCgUFBQEE/QT6BPYE8gTvBOwE6QTmBOME4QTfBN0E3ATaBNkE2ATYBNcE1wTWBNYE1gTWBNYE1gTWBNYE1gTWBNUE1QTUBNME0gTQBM4EzATKBMgExQTCBL8EuwS4BLQEsASsBKgEpASgBJwEmASUBJAEjASIBIUEggR/BHwEegR4BHYEdARzBHIEcQRwBHAEbwRvBG8EcARwBHEEcQRyBHIEcwRzBHQEdAR0BHUEdQR1BHQEdARzBHMEcgRxBHAEbwRtBGwEagRoBGcEZQRjBGEEXwRdBFsEWQRXBFUEUwRSBFAETgRMBEsESQRIBEYERQRDBEIEQQQ/BD4EPQQ7BDoEOQQ4BDYENQQ0BDIEMQQwBC4ELAQrBCkEJwQlBCMEIQQeBBwEGQQWBBMEDwQLBAcEAwP/A/oD9QPwA+oD5APeA9gD0QPLA8QDvQO2A64DpwOgA5gDkQOKA4MDfAN1A28DaQNjA10DWANTA08DSwNHA0QDQgM/Az0DOwM6AzkDOQM4AzgDOAM3AzcDNwM3AzcDNwM2AzUDNAMyAzADLgMrAycDIwMfAxsDFQMQAwoDBAL9AvYC7wLoAuEC2gLTAswCxQK/ArkCswKuAqoCpgKjAqECoAKgAqACogKkAqcCrAKxArcCvgLFAs4C1wLgAuoC9QMAAwoDFQMhAysDNgNBA0sDVANdA2YDbQN0A3oDfwODA4YDiQOKA4oDiQOHA4UDgQN8A3cDcQNrA2MDXANUA0sDQwM6AzEDKAMfAxYDDgMFAv0C9QLuAucC4QLaAtUC0ALLAscCwwK/ArwCuQK2ArQCsQKvAq0CqwKpAqcCpQKiAqACnQKbApgClQKRAo4CigKGAoICfQJ5AnQCcAJrAmYCYgJdAlkCVAJQAkwCSAJFAkICPwI8AjoCOQI4AjcCNgI2AjcCOAI5AjoCPAI/AkECRAJIAksCTwJSAlYCWwJfAmMCZwJrAm8CcwJ3AnsCfwKCAoUCiQKLAo4CkQKTApUClwKYApoCmwKcAp0CngKfAqACoAKhAqICogKjAqQCpAKlAqYCqAKpAqoCrAKuArACsgK1ArcCugK9AsACwwLHAsoCzgLSAtYC2QLdAuEC5QLpAu0C8QL1AvkC/QMBAwQDCAMMAw8DEwMWAxkDHAMfAyMDJgMpAywDLwMyAzUDOAM7Az4DQQNFA0gDSwNPA1IDVQNZA10DYANkA2gDawNvA3IDdgN6A30DgQOEA4cDiwOOA5EDkwOWA5kDmwOdA58DoQOjA6QDpgOnA6gDqQOpA6oDqwOrA6sDqwOrA6sDqwOrA6oDqgOqA6kDqQOoA6gDqAOnA6cDpwOnA6cDpgOmA6YDpgOnA6cDpwOnA6gDqAOpA6oDqgOrA6wDrQOuA68DrwOwA7EDsgOzA7QDtQO1A7YDtwO4A7gDuQO5A7oDugO6A7sDuwO7A7sDuwO8A7wDvAO8A7wDvAO9A70DvgO/A78DwAPBA8MDxAPFA8cDyQPLA80D0APSA9UD2APaA94D4QPkA+cD6wPuA/ID9QP4A/wD/wQCBAUECAQLBA0EEAQSBBQEFgQYBBkEGwQcBB0EHgQeBB8EHwQgBCAEIAQgBCAEIAQhBCEEIQQhBCEEIgQjBCMEJAQlBCYEJwQpBCoELAQuBDAEMgQ0BDcEOQQ8BD4EQQREBEcESgRMBE8EUgRVBFgEWwRdBGAEYwRmBGkEawRuBHEEdAR3BHoEfQSABIMEhgSKBI0EkQSUBJgEnASgBKQEqQStBLEEtgS7BL8ExATJBM4E0wTYBN0E4gTnBOwE8QT2BPsFAAUEBQkFDgUSBRcFHAUgBSUFKQUuBTIFNwU7BUAFRAVJBU0FUgVWBVsFXwVkBWgFbQVxBXYFegV+BYIFhgWKBY4FkQWVBZgFmwWeBaEFowWlBagFqQWrBa0FrgWvBbEFsgWzBbQFtAW1BbYFtwW5BboFuwW8Bb4FwAXCBcQFxgXJBcwFzwXSBdYF2QXdBeEF5QXpBe4F8gX3BfsGAAYEBgkGDQYRBhUGGQYdBiEGJAYoBisGLgYwBjMGNQY3BjkGOwY9Bj4GPwZBBkIGRAZFBkYGSAZJBksGTQZPBlEGVAZXBloGXQZgBmQGaAZsBnEGdgZ7BoAGhgaLBpEGmAaeBqQGqgaxBrcGvgbEBssG0QbXBt0G4wbpBu8G9Ab5Bv4HAwcIBw0HEQcVBxkHHQchByQHKAcrBy8HMgc1BzgHPAc/B0MHRgdKB00HUQdVB1oHXgdiB2cHbAdxB3YHeweAB4YHiweRB5cHnAeiB6gHrge0B7kHvwfEB8oHzwfVB9oH3wfkB+kH7gfyB/cH+wgACAQICAgNCBEIFQgZCB0IIggmCCoILwgzCDcIPAhACEUISQhOCFIIVghbCF8IYwhnCGsIbghyCHUIdwh6CHwIfgh/CIAIgQiBCIEIgQiACH8IfQh7CHkIdwh1CHIIbwhtCGoIZwhkCGIIXwhdCFsIWghYCFcIVghWCFYIVghXCFkIWghcCF8IYQhlCGgIbAhvCHMIeAh8CIEIhQiKCI8IkwiYCJ0IoQimCKsIrwi0CLkIvQjCCMYIywjQCNUI2gjfCOQI6gjwCPYI/AkCCQkJEAkXCR4JJgkuCTYJPglGCU8JVwlgCWgJcQl5CYEJiQmRCZkJoAmoCa4JtQm7CcEJxwnMCdEJ1gnbCd8J4wnnCesJ7wnzCfYJ+gn+CgIKBgoLCg8KFAoZCh4KJAoqCjAKNwo+CkUKTApTClsKYgpqCnIKeQqBCogKjwqWCp0KowqoCq0Ksgq1CrkKuwq9Cr4Kvgq+Cr0Kuwq4CrUKsQqsCqcKoQqbCpQKjQqFCn0KdQptCmQKXApTCksKQgo6CjIKKgoiChsKFAoNCgcKAQn7CfYJ8QntCekJ5QniCd8J3QnbCdkJ1wnWCdUJ1QnUCdQJ1AnUCdUJ1QnWCdcJ2AnaCdsJ3QneCeAJ4gnkCeYJ6QnrCe4J8AnzCfUJ+An7Cf0KAAoDCgUKCAoKCgwKDgoQChIKEwoVClsKWwpbClsKWwpaClgKVwpVClIKUApNCkkKRgpCCj4KOgo2CjIKLgopCiUKIAocChgKFAoQCgwKCQoFCgIJ/wn8CfkJ9wn1CfMJ8QnvCe0J7AnqCekJ5wnmCeUJ4wniCeEJ3wneCdwJ2wnZCdcJ1QnTCdEJzwnNCcoJxwnFCcIJvwm8CbkJtgmzCbAJrAmpCaUJogmeCZsJlwmUCZAJjAmJCYUJgQl+CXoJdwlzCXAJbAloCWUJYQleCVoJVwlUCVAJTAlJCUUJQgk+CToJNgkyCS4JKgkmCSEJHQkYCRMJDgkJCQMI/gj4CPMI7QjnCOEI2gjUCM4IyAjBCLsItAiuCKgIogicCJYIkAiKCIQIfwh5CHQIbwhqCGUIYAhbCFcIUghNCEkIRAhACDsINggxCCwIKAgiCB0IGAgSCAwIBggAB/oH9AftB+YH4AfZB9IHywfEB70HtQeuB6cHoAeZB5IHjAeFB34HeAdyB2sHZQdfB1oHVAdOB0kHQwc+BzkHMwcuBykHIwceBxgHEwcNBwgHAgb8BvYG8AbpBuMG3QbWBs8GyQbCBrsGtAatBqYGoAaZBpIGjAaFBn8GeAZyBmwGZgZgBlsGVQZQBksGRgZBBjwGNwYyBi4GKQYlBiAGHAYXBhIGDQYJBgQF/wX6BfUF7wXqBeUF3wXZBdMFzQXIBcEFuwW1Ba8FqQWjBZ0FlwWRBYsFhQV/BXkFcwVuBWkFYwVeBVkFVAVPBUoFRgVBBT0FOAU0BS8FKwUmBSIFHgUZBRUFEAULBQcFAgT9BPgE8wTuBOkE5ATfBNoE1QTQBMsExgTBBLwEtwSzBK4EqgSmBKIEngSbBJcElASRBI8EjASKBIgEhwSFBIQEggSBBIAEgAR/BH8EfgR9BH0EfQR8BHwEewR6BHkEeQR4BHcEdQR0BHMEcQRvBG4EbARqBGgEZgRkBGIEXwRdBFsEWQRXBFUEUwRRBE8ETQRLBEoESARGBEUEQwRCBEAEPwQ9BDwEOwQ5BDgENgQ1BDMEMQQwBC4ELQQrBCkEKAQmBCQEIwQhBCAEHwQdBBwEHAQbBBoEGQQZBBkEGQQZBBkEGQQZBBoEGgQbBBsEHAQcBBwEHAQdBB0EHQQcBBwEGwQbBBoEGQQYBBYEFQQUBBIEEAQPBA0ECwQKBAgEBwQFBAQEAwQCBAEEAAQABAAD/wP/A/8D/wP/A/8D/wP/A/8D/gP9A/wD+wP5A/cD9APxA+0D6APkA94D2APSA8sDwwO7A7MDqgOhA5gDjwOFA3wDcgNpA18DVgNOA0UDPgM2Ay8DKQMjAx4DGgMWAxMDEAMOAwwDCwMLAwsDCwMLAwwDDAMNAw4DDgMPAw8DDwMOAw0DDAMKAwcDBAMAAvwC9wLyAuwC5gLfAtgC0QLJAsECugKyAqoCowKcApUCjwKKAoUCgQJ9AnsCeQJ5AnkCegJ9AoAChQKKApACmAKgAqgCsgK8AsYC0QLcAugC8wL+AwoDFQMfAykDMwM8A0QDTANSA1gDXQNhA2MDZQNmA2YDZQNkA2EDXgNaA1UDUANKA0QDPQM2Ay8DKAMhAxoDEwMMAwUC/gL4AvIC7ALnAuIC3QLYAtQC0ALMAskCxQLCAr8CuwK4ArUCsgKuAqsCpwKjAp8CmwKXApMCjgKJAoQCfwJ6AnUCcAJrAmYCYAJbAlcCUgJNAkkCRQJBAj4COwI4AjYCNAIyAjECMAIwAjACMAIxAjICMwI0AjYCOAI6Aj0CQAJCAkUCSAJLAk4CUQJUAlcCWgJdAmACYgJlAmcCagJsAm4CcAJyAnMCdAJ2AncCeAJ5AnoCegJ7AnsCfAJ8An0CfQJ9An4CfgJ/An8CgAKBAoICgwKEAoUChwKIAooCjAKOApACkwKVApgCmwKeAqECpAKoAqsCrgKyArUCuQK9AsACxALHAssCzgLSAtYC2QLcAuAC4wLnAuoC7QLxAvQC+AL7Av4DAgMFAwkDDAMQAxQDGAMbAx8DIwMnAysDLwMzAzcDOwM/A0MDRwNKA04DUgNWA1kDXQNgA2MDZgNpA2wDbwNyA3QDdwN5A3sDfQN/A4EDgwOFA4YDiAOJA4oDjAONA44DjwOQA5ADkQOSA5IDkgOTA5MDkwOTA5IDkgORA5EDkAOPA44DjgONA4sDigOJA4gDhgOFA4QDgwOCA4EDfwN+A34DfQN8A3wDewN7A3sDewN7A3sDfAN9A30DfgN/A4ADggODA4QDhgOHA4kDigOMA44DkAORA5MDlQOXA5gDmgOcA50DnwOhA6IDpAOlA6cDqAOqA6sDrAOuA68DsQOyA7MDtQO2A7cDuQO6A7sDvAO9A78DwAPBA8IDwwPEA8UDxQPGA8cDxwPIA8gDyQPJA8oDygPKA8sDywPLA8wDzAPMA80DzQPOA88D0APRA9ID0wPUA9YD1wPZA9sD3QPfA+ID5APnA+oD7QPvA/ID9QP4A/sD/gQBBAQEBwQKBAwEDwQRBBQEFgQYBBoEHAQeBB8EIQQiBCQEJQQnBCgEKQQrBCwELgQwBDIENAQ2BDgEOwQ+BEEERARIBEwEUARUBFkEXgRjBGgEbQRzBHkEfwSFBIsEkQSXBJ4EpASrBLEEuAS/BMUEzATSBNkE4ATmBO0E8wT6BQEFBwUOBRQFGwUhBSgFLgU1BTsFQgVIBU4FVAVaBV8FZQVqBW8FcwV4BXwFfwWDBYYFiAWLBYwFjgWPBZAFkAWQBZAFkAWPBY4FjQWMBYsFigWJBYcFhwWGBYUFhQWFBYUFhQWGBYcFiQWLBY4FkAWTBZcFmwWfBaQFqAWtBbMFuAW+BcMFyQXPBdUF2gXgBeUF6wXwBfUF+QX+BgIGBgYJBg0GEAYTBhUGGAYaBhsGHQYfBiAGIQYjBiQGJQYmBigGKQYrBi0GLwYxBjMGNgY5BjwGPwZDBkgGTAZRBlYGWwZhBmcGbQZ0BnoGgQaJBpAGlwaeBqYGrQa1BrwGwwbKBtEG2AbfBuUG6wbxBvcG/AcBBwYHCwcPBxMHFwcbBx8HIgclBygHKwcuBzEHMwc2BzkHPAc/B0IHRQdIB0sHTwdTB1cHWwdgB2QHaQduB3MHeQd+B4QHigePB5UHmwehB6cHrgezB7kHvwfFB8sH0AfWB9sH4QfmB+sH8Qf2B/sIAAgECAkIDggTCBkIHggjCCgILQgzCDgIPghECEoIUAhWCFwIYghoCG4IdAh5CH8IhQiKCI8IlAiZCJ0IoQilCKgIqwitCLAIsQizCLQItQi2CLYItwi3CLcItwi3CLcItwi3CLgIuAi5CLoIuwi9CL8IwQjECMcIygjNCNEI1QjZCN4I4gjnCOwI8Qj1CPoI/wkECQgJDQkRCRUJGQkdCSEJJAkoCSsJLgkxCTUJOAk7CT4JQglFCUkJTQlSCVYJWwlhCWYJbAlzCXkJgQmICY8JlwmfCagJsAm4CcEJyQnSCdoJ4gnqCfIJ+QoACgcKDgoUChoKIAolCikKLgoyCjcKOgo+CkIKRQpJCkwKUApUClgKXApgCmUKagpvCnQKegqACoYKjQqUCpsKogqpCrAKuAq/CsYKzQrUCtoK4ArmCusK7wrzCvYK+Ar6CvsK+wr6CvkK9grzCu8K6grlCt4K1wrQCsgKwAq3Cq4KpAqbCpEKhwp9CnQKagphClgKUApICkAKOAoxCisKJQogChsKFwoTChAKDQoLCgkKBwoGCgYKBQoFCgUKBgoHCgcKCAoKCgsKDAoOCg8KEQoTChUKFwoZChsKHQofCiEKJAomCikKKwouCjEKMwo2CjkKPAo/CkIKRQpICkoKTQpQClIKVApWClgKWQpaCpMKkwqTCpMKkgqQCo4KjAqJCoYKggp+CnkKdApvCmoKZApfClkKUwpOCkgKQgo9CjgKMwouCikKJQohCh0KGgoWChQKEQoOCgwKCgoICgYKBQoDCgIKAAn/Cf0J/An6CfkJ9wn1CfMJ8QnvCe0J6wnoCeYJ4wngCd0J2gnXCdQJ0QnOCcoJxwnECcAJvQm5CbUJsgmuCaoJpgmiCZ4JmgmWCZIJjgmJCYUJgQl8CXcJcwluCWkJZQlgCVsJVwlSCU0JSAlECT8JOgk2CTEJLQkoCSQJHwkaCRYJEQkNCQgJBAj/CPoI9gjxCOwI5wjiCN0I2AjTCM4IyAjDCL4IuAizCK4IqAijCJ4ImAiTCI4IiQiECH4IeQh0CG8IaghlCGAIWghVCFAISwhFCEAIOgg0CC8IKQgjCBwIFggQCAkIAgf7B/QH7QfmB98H2AfQB8kHwQe6B7IHqwejB5wHlQeNB4YHfwd4B3EHagdjB10HVgdQB0kHQwc8BzYHMAcpByMHHQcXBxEHCgcEBv4G9wbxBuoG5AbdBtYG0AbJBsIGuwa1Bq4GpwagBpkGkgaMBoUGfgZ4BnEGawZlBl4GWAZSBkwGRwZBBjsGNgYwBisGJgYhBhsGFgYRBgwGBwYCBf0F+AXzBe4F6QXjBd4F2QXTBc4FyQXDBb0FuAWyBa0FpwWhBZsFlgWQBYoFhQV/BXkFdAVuBWkFYwVeBVgFUwVOBUgFQwU+BTkFNAUvBSoFJQUgBRsFFwUSBQ0FCAUDBP4E+gT1BPAE6wTmBOEE3ATXBNIEzQTIBMMEvgS5BLMErgSpBKQEngSZBJQEjwSJBIQEfwR6BHUEcARrBGYEYgRdBFkEVQRQBEwESQRFBEIEPgQ7BDgENQQzBDAELgQsBCoEKAQmBCQEIwQiBCAEHwQeBB0EHAQbBBoEGgQZBBgEGAQXBBYEFgQVBBUEFAQUBBQEEwQTBBMEEgQSBBEEEQQQBBAEDwQPBA4EDQQMBAsECgQIBAcEBQQDBAID/wP9A/sD+AP2A/MD8APuA+sD6QPmA+QD4QPfA94D3APaA9kD2QPYA9gD2APYA9kD2gPbA9wD3gPgA+ID4wPlA+cD6QPrA+wD7gPvA+8D8APwA/AD7wPuA+0D6wPqA+cD5QPiA+AD3QPaA9cD1QPSA9ADzgPMA8sDygPJA8kDygPLA8wDzgPQA9MD1gPZA90D4APkA+gD6wPuA/ED9AP2A/cD+AP4A/cD9QPyA+8D6gPlA94D1wPPA8YDvAOxA6YDmwOOA4IDdgNpA10DUANEAzgDLQMiAxgDDwMGAv8C+ALyAu0C6ALlAuIC4ALfAt8C3wLfAuAC4gLjAuUC5gLoAukC6wLrAuwC6wLrAuoC6ALlAuIC3gLZAtQCzgLIAsECugKyAqoCogKaApECiQKBAnoCcwJsAmYCYQJdAlkCVwJVAlUCVgJYAlsCXwJkAmoCcQJ6AoMCjQKXAqMCrgK7AscC1ALhAu0C+gMGAxEDHAMnAzADOQNBA0gDTgNTA1cDWgNcA1wDXANbA1kDVgNSA04DSQNDAz0DNwMwAyoDIwMcAxUDDwMIAwIC/AL2AvAC6wLmAuIC3QLZAtUC0gLOAsoCxwLDAsACvAK5ArUCsQKsAqgCowKeApkCkwKOAogCgQJ7AnUCbgJoAmECWwJUAk4CSAJCAjwCNgIxAi0CKAIkAiECHQIbAhgCFgIVAhQCEwISAhICEwITAhQCFQIWAhgCGQIbAh0CHwIhAiMCJQInAikCKwItAjACMgI0AjYCOAI6AjwCPgJAAkICQwJFAkYCSAJKAksCTAJNAk8CUAJRAlICUwJUAlUCVgJXAlcCWAJZAloCWwJcAl0CXgJfAmECYgJkAmYCaAJqAmwCbgJxAnMCdgJ5AnwCfwKCAoUCiQKMApACkwKXApoCngKiAqUCqQKsArACswK3AroCvQLBAsQCxwLLAs4C0QLUAtgC2wLeAuEC5QLoAusC7gLyAvUC+AL7Av4DAgMFAwgDCwMOAxEDFAMXAxkDHAMeAyEDIwMmAygDKwMtAy8DMQM0AzYDOAM7Az0DPwNCA0QDRwNKA0wDTwNSA1UDWANbA14DYQNjA2YDaQNrA20DcANyA3QDdQN2A3cDeAN4A3kDeAN4A3cDdgN1A3MDcQNvA20DagNoA2UDYgNfA1wDWgNXA1QDUgNPA00DSwNJA0gDRwNGA0UDRQNFA0UDRgNHA0gDSQNLA00DTwNSA1QDVwNaA10DYANjA2cDagNtA3ADcwN2A3oDfAN/A4IDhAOGA4kDigOMA44DjwOQA5EDkgOSA5MDkwOTA5IDkgORA5EDkAOPA44DjAOLA4oDiAOHA4UDhAOCA4EDgAN+A30DfAN7A3oDegN5A3kDeQN5A3kDeQN6A3oDewN9A34DgAOBA4MDhgOIA4oDjQOQA5MDlgOaA50DoAOkA6cDqwOvA7IDtgO5A7wDwAPDA8YDyQPMA84D0QPTA9UD1wPZA9oD3APdA94D3wPhA+ED4gPjA+QD5QPmA+cD6QPqA+wD7gPwA/ID9QP4A/sD/gQCBAYECgQPBBQEGQQeBCQEKQQvBDUEOwRCBEgETgRVBFsEYgRoBG8EdQR7BIIEiASOBJUEmwShBKcErgS0BLoEwQTHBM0E1ATaBOEE5wTuBPUE+wUBBQgFDgUVBRsFIQUmBSwFMQU2BToFPwVDBUYFSQVMBU8FUQVTBVQFVQVWBVYFVgVWBVYFVgVVBVUFVQVUBVQFVAVUBVQFVAVVBVYFVwVZBVoFXQVfBWIFZgVpBW0FcQV2BXsFfwWFBYoFjwWVBZoFoAWlBasFsAW2BbsFwAXFBcoFzwXTBdgF3AXgBeMF5wXqBe0F8AXzBfUF+AX6BfwF/gYABgIGBAYFBgcGCQYLBgwGDgYQBhMGFQYYBhoGHQYhBiQGKAYsBjAGNQY6BkAGRQZLBlIGWQZgBmcGbwZ3Bn8GhwaPBpgGoQaqBrMGvAbFBs0G1gbfBucG8Ab4BwAHBwcPBxYHHAcjBykHLwc0BzoHPwdDB0gHTAdQB1QHWAdbB18HYwdmB2oHbQdxB3UHeQd9B4EHhgeKB48HlAeZB58HpAeqB7AHtge8B8IHyAfPB9UH2wfhB+cH7QfzB/kH/wgECAoIDwgUCBoIHwgkCCkILQgyCDcIPAhBCEYITAhRCFcIXAhiCGkIbwh2CHwIgwiKCJIImQihCKgIsAi4CL8IxwjOCNUI3AjjCOoI8Aj2CPsJAAkFCQoJDgkSCRUJGQkcCR8JIgkkCScJKQksCS4JMQkzCTYJOQk8CT8JQwlGCUoJTglSCVYJWwlfCWQJaAltCXEJdQl5CX0JgQmFCYgJiwmNCZAJkgmTCZUJlgmXCZgJmAmZCZoJmgmbCZsJnAmdCZ8JoQmjCaUJqAmsCbAJtAm5Cb4JxAnKCdEJ1wnfCeYJ7gn2Cf4KBgoOChYKHQolCiwKMwo6CkAKRgpLClEKVQpZCl0KYQpkCmcKaQprCm0KbwpxCnMKdAp2CngKeQp7Cn0KgAqCCoUKiAqLCo4KkgqWCpoKngqiCqYKqgquCrIKtgq6Cr0KwArDCsYKxwrJCsoKywrLCsoKyQrHCsUKwgq/CrwKtwqzCq4KqQqjCp0KlwqRCosKhQp/CnkKcwptCmgKYwpeClkKVQpRCk4KSwpICkYKRApCCkEKQQpACkAKQApBCkEKQgpDCkQKRQpGCkgKSQpKCksKTApNCk4KTwpQClEKUgpTClMKVApVClYKVwpZCloKWwpdCl8KYQpjCmUKaAprCm0KcApzCnYKegp9CoAKgwqGCokKiwqNCo8KkQqSCrYKtgq1CrQKsgqwCq0KqgqmCqIKnQqYCpMKjQqHCoEKegp0Cm0KZwpgCloKVApOCkkKQwo+CjoKNQoxCi4KKwooCiUKIwogCh8KHQobChoKGAoXChUKFAoSChAKDwoNCgoKCAoFCgMJ/wn8CfkJ9gnyCe4J6wnnCeMJ3wnbCdcJ0wnPCcsJyAnECcAJvQm5CbYJswmvCawJqQmlCaIJnwmcCZgJlQmSCY4JigmHCYMJfwl7CXcJcwlvCWoJZgliCV4JWQlVCVAJTAlHCUMJPgk5CTUJMAksCScJIgkdCRkJFAkPCQoJBQj/CPoI9QjvCOoI5AjeCNkI0wjNCMcIwQi6CLQIrgioCKIInAiVCI8IiQiDCH0IdghwCGoIZAheCFcIUQhLCEQIPgg3CDEIKggjCB0IFggPCAgIAQf6B/MH7AfmB98H2AfQB8kHwge8B7UHrgenB6AHmgeTB40HhgeAB3kHcwdsB2YHXwdZB1IHTAdFBz8HOAcxByoHJAcdBxYHDwcIBwAG+QbyBusG4wbcBtUGzgbGBr8GuAaxBqoGowacBpYGjwaIBoIGewZ1Bm8GaAZiBlwGVgZQBkoGRAY+BjgGMgYsBiUGHwYZBhMGDQYGBgAF+gXzBe0F5gXgBdkF0gXMBcUFvwW5BbIFrAWlBZ8FmQWTBY0FhwWCBXwFdwVxBWwFZwViBV0FWAVTBU4FSQVFBUAFOwU3BTIFLQUoBSMFHgUZBRQFDwUKBQQE/wT5BPQE7gTpBOME3QTXBNIEzATGBMAEuwS1BLAEqgSlBKAEmgSVBJAEiwSGBIEEfQR4BHMEbgRpBGUEYARbBFYEUQRMBEcEQgQ9BDgEMgQtBCgEIwQeBBkEFAQPBAoEBQQAA/wD9wPzA+8D6wPoA+QD4QPeA9sD2APVA9MD0QPOA80DywPJA8cDxgPFA8MDwgPBA8ADwAO/A74DvgO9A70DvQO9A7wDvQO9A70DvQO9A74DvgO+A78DvwO/A78DvwO/A74DvgO9A7wDvAO6A7kDuAO2A7QDswOxA68DrQOrA6kDpwOlA6QDowOiA6EDoAOgA6ADoQOiA6MDpQOmA6gDqwOtA7ADsgO1A7cDugO8A74DwAPBA8IDwwPDA8MDwgPBA78DvQO6A7cDtAOwA6wDqAOkA6EDnQOaA5YDlAOSA5ADjwOOA48DkAOSA5QDmAOcA6ADpgOrA7EDtwO+A8QDywPRA9cD3APhA+UD6APqA+sD6wPqA+cD4wPeA9gD0APIA74DswOnA5sDjgOAA3IDYwNVA0YDOAMqAxwDDwMDAvcC7ALiAtkC0QLKAsQCvwK7ArgCtgK1ArQCtAK1ArYCtwK5ArsCvAK+Ar8CwQLBAsICwgLBAsACvgK7ArgCtAKvAqoCpAKeApcCjwKIAoACeAJxAmkCYQJaAlMCTQJHAkICPQI6AjgCNgI2AjcCOQI8AkACRgJNAlUCXQJnAnICfgKKApcCpQKzAsECzwLdAusC+AMFAxIDHgMpAzMDOwNDA0oDTwNUA1cDWANZA1gDVgNTA08DSwNFAz8DNwMwAygDIAMYAxADCAMAAvgC8ALpAuMC3ALXAtECzALIAsQCwQK9AroCuAK1ArICsAKtAqsCqAKkAqECnQKZApUCkAKKAoUCfgJ4AnECagJjAlsCUwJLAkQCPAI0Ai0CJQIeAhgCEQILAgYCAAH8AfcB9AHwAe4B6wHpAegB5gHlAeUB5AHkAeQB5QHlAeYB5gHnAegB6QHqAewB7QHuAfAB8QHzAfQB9gH4AfkB+wH9Af8CAQIEAgYCCAIKAgwCDgIQAhICFAIWAhgCGgIcAh4CHwIhAiICIwIkAiYCJwIoAikCKgIrAiwCLQIvAjACMgI0AjYCOAI6AjwCPwJCAkUCSAJMAk8CUwJXAlsCXwJjAmgCbAJwAnQCeQJ9AoEChQKJAo0CkAKUApcCmgKeAqECpAKnAqoCrAKvArECtAK2ArkCuwK9Ar8CwgLEAsYCyALKAswCzgLQAtIC1ALWAtcC2QLaAtwC3QLfAuAC4QLjAuQC5QLnAugC6gLrAu0C7wLxAvMC9gL4AvsC/gMBAwQDCAMLAw8DEwMXAxsDHwMjAycDKwMvAzIDNgM5AzwDPwNBA0MDRQNHA0gDSANIA0gDRwNHA0UDQwNCAz8DPQM6AzcDNAMxAy4DKwMoAyUDIgMfAx0DGwMZAxcDFQMUAxMDEwMSAxMDEwMUAxUDFgMYAxoDHAMeAyEDJAMnAyoDLQMwAzQDNwM7Az8DQgNGA0kDTANPA1IDVQNYA1oDXANfA2ADYgNjA2QDZQNlA2UDZQNkA2MDYgNgA18DXQNbA1gDVgNTA1ADTgNLA0gDRQNCAz8DPQM6AzgDNgM0AzIDMQMvAy4DLgMtAy0DLQMuAy4DLwMwAzIDMwM1AzcDOgM8Az4DQQNEA0cDSgNNA1ADUwNWA1oDXQNgA2MDZgNpA2wDbwNyA3UDeAN6A30DfwOBA4MDhQOHA4kDiwONA48DkAOSA5QDlQOXA5kDmwOcA58DoQOjA6UDqAOrA64DsQO1A7gDvAPBA8UDyQPOA9MD2APdA+MD6APuA/MD+AP+BAMECQQOBBMEGAQdBCMEJwQsBDEENQQ6BD8EQwRIBEwEUQRWBFoEXwRkBGkEbgRzBHkEfgSEBIoEkASWBJwEogSoBK4EtAS6BMAExgTMBNEE1gTbBOAE5QTpBO0E8QT1BPgE/AT/BQIFBQUHBQoFDAUPBRIFFAUXBRoFHAUfBSMFJgUpBS0FMAU0BTgFPAVABUUFSQVNBVIFVgVbBV8FZAVoBWwFcAV1BXkFfQWBBYUFiAWMBZAFlAWYBZwFnwWjBacFqwWvBbMFtwW7BcAFxAXIBcwF0AXVBdkF3QXhBeYF6gXuBfIF9gX6Bf0GAQYFBgkGDAYQBhQGGAYcBiAGJAYoBiwGMQY2BjsGQAZGBkwGUwZaBmEGaAZwBnkGgQaKBpMGnQanBrEGuwbGBtAG2wbmBvAG+wcFBxAHGgckBy4HOAdBB0oHUgdaB2IHagdxB3cHfgeEB4kHjgeUB5gHnQehB6UHqQeuB7EHtge6B74HwgfHB8sH0AfVB9oH4AflB+sH8Qf3B/0IBAgKCBEIGAgeCCUIKwgyCDgIPghECEoITwhVCFoIXwhjCGgIbAhwCHUIeQh9CIEIhQiJCI4IkgiXCJwIoQinCK0Iswi5CMAIxwjPCNcI3gjnCO8I9wkACQkJEQkaCSIJKgkyCToJQglJCVAJVwldCWMJaQlvCXQJeQl+CYMJhwmLCZAJlAmYCZwJoAmkCagJrAmxCbUJuQm+CcIJxgnKCc4J0gnWCdoJ3QngCeMJ5QnnCegJ6QnqCeoJ6gnpCegJ5wnmCeQJ4gngCd4J3AnaCdgJ1wnWCdUJ1AnUCdQJ1QnXCdkJ2wneCeIJ5gnrCfAJ9Qn7CgEKCAoPChUKHAojCikKMAo3Cj0KQgpICk0KUgpWCloKXgphCmQKZgpoCmoKawpsCm0KbQptCm4KbgptCm0KbQptCm0KbApsCmwKbApsCmwKbApsCmwKbApsCmwKbApsCmwKawprCmsKagppCmgKZwpmCmUKYwpiCmAKXgpcCloKWApWClQKUgpQCk4KTApKCkkKRwpGCkUKRApDCkMKQwpDCkQKRQpGCkgKSQpLCk4KUQpTClcKWgpeCmIKZgpqCm4Kcgp2CnoKfgqCCoUKiQqMCo8KkgqUCpYKmAqaCpsKnAqdCp0KnQqdCp0KnQqdCpwKnAqcCpsKmwqbCpsKmwqcCpwKnQqeCp8KoQqiCqQKpgqoCqoKrAquCrAKsgqzCrQKtQq2CskKyArHCsUKwwrBCr4Kuwq3CrMKrgqqCqUKnwqaCpQKjgqICoIKfAp2CnAKawplCmAKWwpWClIKTgpKCkcKQwpBCj4KPAo6CjgKNgo0CjIKMQovCi0KKwopCiYKJAohCh4KGwoXChMKDwoLCgcKAgn+CfkJ9AnvCeoJ5QngCdwJ1wnSCc4JygnGCcIJvgm7CbgJtQmyCa8JrAmqCagJpQmjCaEJnwmcCZoJmAmWCZMJkQmOCYwJiQmGCYMJgAl9CXkJdglyCW4JaglmCWIJXglZCVQJTwlKCUUJQAk6CTQJLgkoCSIJHAkVCQ4JBwkBCPkI8gjrCOQI3AjVCM0Ixgi/CLcIsAipCKIImgiTCIwIhQh+CHcIcQhqCGMIXAhVCE4IRwhACDkIMggqCCMIGwgUCAwIBQf9B/YH7gfmB98H1wfQB8gHwQe6B7MHrAelB58HmAeSB4wHhQd/B3kHdAdtB2gHYgdbB1UHTwdJB0IHOwc0By0HJgcfBxcHDwcIBwAG9wbvBucG3gbWBs4Gxga+BrUGrgamBp4GlwaQBogGggZ7BnQGbgZoBmEGWwZVBk8GSgZEBj4GOAYyBiwGJgYgBhkGEwYMBgYF/wX4BfEF6gXiBdsF1AXMBcQFvQW1Ba4FpgWfBZcFkAWJBYIFewV0BW4FaAVhBVwFVgVRBUwFRwVCBT0FOQU1BTAFLAUpBSUFIQUdBRkFFQURBQ0FCQUEBQAE+wT2BPAE6wTlBN8E2QTTBMwExgS/BLgEsQSqBKMEnASVBI4EhwSBBHoEdARuBGcEYgRcBFYEUQRMBEcEQgQ9BDgENAQvBCoEJQQgBBwEFwQRBAwEBwQCA/wD9wPxA+wD5gPhA9sD1gPQA8sDxgPAA7wDtwOyA64DqgOmA6MDnwOcA5kDlgOTA5EDjgOMA4oDhwOFA4MDgQN/A3wDegN4A3YDdANxA28DbQNrA2kDaANmA2QDYwNiA2EDYANgA18DXwNfA18DYANgA2EDYQNiA2MDZANlA2UDZgNnA2cDaANoA2gDaANnA2cDZgNmA2UDZANkA2MDYgNiA2IDYQNiA2IDYwNkA2UDZwNpA2sDbQNwA3MDdgN5A3wDfwOCA4UDhwOKA4sDjQONA44DjgONA4sDigOHA4QDgQN9A3kDdQNxA20DaQNlA2EDXgNbA1kDVwNXA1cDWANZA1wDYANkA2kDbwN2A30DhAOMA5MDmwOjA6oDsQO3A7wDwAPEA8YDxwPGA8UDwQO9A7cDsAOnA54DkwOHA3oDbQNfA1EDQgM0AyUDFwMIAvsC7gLiAtYCzALCArkCsgKrAqYCoQKdApoCmAKXApcClgKXApcCmAKZApoCmgKbApwCnAKbApoCmQKXApUCkgKOAooChQKAAnoCdAJuAmcCYAJZAlICSgJDAjwCNgIvAioCJAIgAhwCGQIXAhYCFgIWAhgCHAIgAiYCLAI0Aj0CSAJTAl8CawJ5AocClgKlArQCwwLSAuEC7wL9AwoDFgMhAyoDMwM6A0ADRANHA0kDSANHA0QDPwM6AzMDKwMjAxoDEAMFAvsC8ALlAtoC0ALGAr0CtAKrAqQCnQKXApICjQKKAocChAKCAoECfwJ/An4CfQJ8AnsCegJ4AncCdAJxAm4CagJmAmECWwJVAk8CSAJAAjkCMQIpAiECGQIRAgoCAgH7AfQB7QHnAeIB3AHYAdMBzwHMAckBxgHEAcIBwAG/Ab4BvQG8AbsBuwG7AbsBuwG7AbsBuwG7AbwBvQG9Ab4BvwHAAcIBwwHFAccByQHLAc0BzwHSAdQB1wHZAdwB3gHhAeQB5gHoAeoB7AHuAe8B8QHyAfMB9AH1AfUB9gH2AfcB+AH4AfkB+gH7AfwB/gH/AgICBAIGAgkCDAIQAhQCGAIcAiECJQIqAi8CNAI5Aj4CQwJIAk0CUgJWAlsCXwJjAmYCagJtAnACcwJ2AngCegJ8An4CfwKBAoIChAKFAoYChwKJAooCiwKMAo4CjwKQApECkwKUApUClwKYApoCmwKcAp4CnwKgAqECogKkAqUCpgKnAqkCqgKsAq0CrwKwArICtAK3ArkCuwK+AsECxALHAsoCzgLRAtUC2ALcAuAC4wLnAuoC7QLwAvMC9QL3AvkC+wL8Av0C/gL+Av8C/gL+Av0C/AL7AvoC+AL3AvUC8wLyAvAC7wLtAusC6gLpAugC5wLmAuYC5QLlAuUC5QLlAuYC5wLnAugC6QLqAusC7ALuAu8C8QLyAvQC9gL4AvoC/AL+AwADAgMEAwYDCAMLAw0DDwMRAxMDFQMXAxgDGgMbAxwDHQMdAx4DHgMdAx0DHAMaAxkDFwMVAxMDEAMOAwsDCAMFAwIC/wL8AvkC9gLzAvEC7wLtAusC6QLoAucC5wLmAuYC5wLnAugC6QLqAusC7QLvAvAC8gL0AvYC+AL6AvwC/gMAAwMDBQMHAwkDCwMNAw4DEAMSAxQDFgMYAxsDHQMfAyEDIwMlAygDKgMsAy8DMQM0AzcDOQM8Az8DQQNEA0cDSgNNA1ADUwNWA1kDXANgA2MDZgNqA24DcQN1A3kDfQOBA4YDigOOA5IDlgObA58DowOnA6sDrwOzA7cDuwO/A8IDxgPJA80D0APTA9cD2gPeA+ED5QPpA+0D8QP1A/oD/gQDBAgEDgQTBBgEHgQkBCoEMAQ2BDwEQgRIBE4EVARaBF8EZQRqBG8EdQR6BH4EgwSIBI0EkQSWBJoEnwSkBKkErQSyBLgEvQTDBMgEzgTUBNoE4ATnBO0E8wT5BQAFBgUMBRIFFwUdBSIFJwUrBS8FNAU3BTsFPgVBBUUFSAVKBU0FUAVTBVYFWQVdBWAFZAVpBW0FcgV3BX0FgwWJBY8FlgWdBaUFrAW0BbwFxAXLBdMF2wXjBeoF8gX5BgAGBwYOBhUGGwYhBigGLgY0BjoGPwZFBksGUQZXBl0GYwZqBnAGdwZ+BoUGjAaUBpwGpAatBrYGvgbIBtEG2gbkBu4G9wcBBwsHFQcfBykHMgc8B0UHTgdXB2AHaAdwB3gHfweGB40HkweZB58HpAepB64Hsge3B7sHvwfCB8YHygfNB9EH1QfZB90H4QfmB+sH8Af1B/sIAQgHCA4IFQgcCCMIKggyCDkIQQhICFAIVwheCGUIbAhyCHgIfgiDCIgIjQiRCJUImQidCKAIpAinCKoIrgixCLUIuQi8CMEIxQjKCNAI1QjbCOII6QjwCPcI/wkHCQ8JGAkgCSkJMgk6CUMJSwlTCVsJYwlqCXIJeQl/CYYJjAmSCZgJngmjCagJrgmzCbgJvQnCCccJzAnRCdUJ2gnfCeQJ6AntCfEJ9Qn5Cf0KAAoDCgYKCAoJCgsKDAoMCgwKDAoLCgoKCQoHCgYKBAoCCgAJ/gn8CfsJ+Qn4CfcJ9wn3CfgJ+Qn6CfwJ/woCCgUKCQoNChEKFgobCiAKJgorCjAKNgo7CkAKRQpKCk8KUwpXClsKXgphCmQKZwppCmsKbApuCm8KcApxCnIKcwpzCnMKdAp0CnQKdApzCnMKcgpyCnEKcApuCm0KawppCmcKZQpiCl8KXApZClUKUgpOCkkKRQpBCj0KOAo0CjAKKwonCiMKHwobChgKFQoSCg8KDQoKCgkKBwoGCgYKBgoGCgYKBwoICgoKDAoOChEKFAoYChwKIAolCioKMAo2CjwKQgpJClAKWApfCmcKbwp3Cn4KhgqOCpYKngqlCq0Kswq6CsAKxgrLCs8K1ArXCtoK3QrfCuAK4QriCuIK4grhCuAK3wreCtwK2wrZCtcK1grUCtMK0grRCtAKzwrOCs4KzQrNCs0KzArMCswKywrKCt4K3QrbCtoK2QrXCtYK1ArSCtAKzQrKCscKwwq/CrsKtwqyCq4KqQqjCp4KmQqUCo4KiQqECn8Kegp1CnEKbQppCmUKYQpeCloKVwpUClIKTwpMCkkKRwpECkEKPgo7CjgKNQoxCi4KKgomCiIKHgoZChUKEQoMCgcKAwn+CfkJ9QnwCewJ5wnjCd8J2wnXCdQJ0AnNCckJxgnDCcAJvQm6CbgJtQmyCbAJrQmrCagJpQmjCaAJnQmaCZcJlAmRCY0JigmGCYIJfgl5CXUJcAlrCWUJYAlaCVQJTQlGCT8JOAkwCSkJIQkZCRAJCAkACPcI7gjmCN0I1QjNCMUIvQi1CK0IpgifCJgIkQiKCIQIfQh3CHEIawhkCF4IWAhRCEsIRAg9CDYILwgnCB8IFwgPCAcH/gf2B+0H5AfbB9IHyQfBB7gHsAenB58HlweQB4gHgQd6B3MHbAdmB18HWQdSB0sHRQc+BzcHMAcpByEHGQcRBwgHAAb3Bu4G5QbbBtEGyAa+BrUGqwaiBpgGjwaGBn4GdgZuBmYGXwZYBlEGSwZFBj8GOgY0Bi8GKgYlBiAGGwYWBhAGCwYGBgEF+wX1Be8F6QXjBd0F1gXQBckFwgW8BbUFrgWnBaAFmQWSBYsFhAV9BXYFcAVpBWMFXQVXBVEFSwVFBUAFOgU1BTAFKwUmBSEFHQUYBRQFEAULBQcFAwT/BPsE9gTyBO4E6QTlBOAE2wTVBNAEygTEBL4EuASyBKsEpASdBJYEjgSHBIAEeQRxBGoEYwRcBFUETgRIBEEEOwQ1BC8EKQQkBB4EGQQTBA4ECAQDA/0D9wPxA+sD5QPfA9gD0gPLA8QDvQO2A68DqAOhA5sDlAONA4cDgQN7A3YDcQNsA2gDZANgA10DWgNYA1UDUwNSA1ADTgNNA0sDSgNIA0cDRQNDA0EDPgM8AzkDNgMzAzADLQMpAyYDIwMfAxwDGQMXAxQDEgMQAw4DDQMMAwsDCwMLAwwDDAMOAw8DEAMSAxMDFQMXAxgDGgMbAxwDHQMeAx4DHwMfAx8DHwMeAx4DHQMdAxwDHAMcAxwDHAMdAx0DHwMgAyIDJAMnAyoDLQMwAzQDOAM7Az8DQwNGA0kDTANOA1ADUQNSA1IDUgNRA08DTQNKA0cDQwM/AzsDNwMyAy4DKgMmAyMDIQMfAx4DHQMeAx8DIgMlAykDLgM0AzoDQQNIA1ADWANfA2cDbgN1A3sDgQOFA4gDigOLA4sDiQOGA4IDfAN1A20DZANZA04DQgM2AykDHAMOAwEC9ALnAtsC0ALEAroCsQKoAqACmgKUAo8CigKHAoQCggKAAn8CfgJ+An0CfQJ9AnwCfAJ7AnoCeQJ3AnUCcwJwAm0CaQJlAmACXAJWAlECSwJFAj8COQIyAiwCJgIfAhoCFAIOAgkCBAIAAf0B+gH3AfYB9gH2AfgB+wH+AgMCCQIRAhkCIwItAjkCRgJUAmICcQKAApACoAKwAsACzwLeAuwC+QMEAw8DGAMgAyYDKgMtAy4DLAMqAyUDHwMXAw4DBAL5Au0C4ALTAsUCtwKqApwCjwKDAncCbAJiAlkCUQJLAkUCQAI9AjoCOAI3AjcCNwI4AjgCOgI6AjsCPAI8AjwCPAI7AjkCNwI0AjECLQIoAiMCHQIYAhECCgIEAf0B9gHvAekB4gHcAdYB0AHLAcYBwgG+AboBtwG0AbEBrwGtAasBqQGoAaYBpQGkAaMBogGhAaABoAGfAZ4BngGeAZ4BngGeAZ8BoAGhAaIBpAGlAacBqQGsAa4BsQG0AbcBugG9Ab8BwgHFAccByQHMAc0BzwHQAdEB0gHTAdMB0wHTAdMB0wHTAdMB0wHTAdQB1AHVAdYB2AHaAdwB3wHiAeUB6QHtAfEB9gH7AgACBQIKAhACFQIaAh8CJQIpAi4CMgI2AjoCPQJAAkMCRQJHAkkCSgJLAkwCTAJMAkwCTAJMAkwCSwJLAksCSwJKAksCSwJLAkwCTAJNAk4CTwJRAlICVAJVAlcCWQJbAl0CXwJhAmMCZQJoAmoCbAJuAnACcgJ0AnYCeAJ6AnwCfgKAAoIChAKHAokCiwKOApACkwKVApcCmgKcAp4CoAKiAqQCpgKoAqkCqgKrAqwCrQKtAq4CrgKuAq0CrQKtAqwCrAKrAqsCqgKqAqkCqQKpAqkCqQKqAqoCqwKrAqwCrQKuArACsQKyArMCtAK1ArcCtwK4ArkCugK6AroCuwK7ArsCuwK6AroCugK5ArkCuQK5ArkCuQK5ArkCugK6ArsCvAK9Ar4CvwLAAsECwgLDAsMCxALEAsUCxQLFAsQCwwLDAsECwAK+ArwCugK3ArUCsgKwAq0CqgKoAqUCowKhAp8CnQKcApsCmgKaApoCmgKbApwCnQKeAqACoQKjAqUCpwKpAqwCrgKwArECswK1ArcCuAK5ArsCvAK9Ar4CvwLAAsECwgLDAsQCxQLGAsgCyQLLAs0C0ALSAtQC1wLaAt0C4ALkAucC6wLuAvIC9QL5Av0DAAMEAwcDCgMOAxEDFAMXAxoDHQMgAyMDJQMoAysDLgMwAzMDNgM4AzsDPgNBA0QDRwNKA00DUANTA1YDWQNcA18DYgNmA2kDbQNwA3QDeAN8A4ADhAOJA40DkgOXA5wDoQOnA6wDsgO4A74DxAPKA9AD1QPbA+ED5gPsA/ED9gP7A/8EBAQIBAwEEAQUBBcEGwQfBCIEJgQqBC4EMgQ3BDwEQQRGBEwEUgRZBF8EZwRuBHYEfQSGBI4ElgSeBKYErgS2BL0ExATLBNIE2ATeBOME6ATtBPIE9gT7BP8FAwUHBQsFEAUVBRoFHwUkBSsFMQU4BUAFSAVQBVkFYgVsBXYFgQWLBZYFoQWsBbcFwgXNBdgF4gXtBfcGAQYKBhQGHQYmBi8GNwZABkgGUAZYBmAGaAZwBngGgAaHBo8GlwafBqcGrwa2Br4GxgbOBtUG3QbkBusG8gb5BwAHBgcMBxMHGQcfByQHKgcwBzUHOgdAB0UHSgdPB1QHWQdeB2MHaAdtB3EHdgd6B34HggeGB4oHjgeRB5QHmAebB54HoQekB6YHqQetB7AHswe3B7sHvwfEB8gHzgfTB9kH3wfmB+0H9Af8CAMICwgTCBsIJAgsCDMIOwhDCEoIUQhXCF0IYwhoCG4Icgh2CHoIfgiBCIUIiAiLCI4IkQiUCJgImwifCKMIpwisCLEItgi8CMIIyQjPCNYI3QjkCOwI8wj7CQIJCgkRCRkJIAknCS4JNQk7CUEJSAlOCVQJWglgCWUJawlxCXYJfAmCCYgJjgmUCZoJoAmmCawJsgm3Cb0JwwnJCc4J0wnYCdwJ4QnlCegJ7AnvCfIJ9An3CfkJ+wn9Cf8KAQoDCgUKBwoKCgwKDwoTChYKGgoeCiMKKAotCjMKOQo/CkUKSwpRClgKXgplCmsKcQp3CnwKggqHCosKkAqUCpcKmwqeCqEKowqmCqgKqgqsCq4KsAqxCrMKtQq3CrgKugq8Cr4KvwrBCsMKxArFCsYKxwrHCscKxwrGCsUKwwrBCr4Kuwq3CrMKrgqoCqMKnQqWCo8KiAqBCnoKcgprCmMKXApUCk0KRgpACjkKMwotCicKIgodChgKFAoQCg0KCQoGCgQKAQn/Cf4J/An7CfsJ+gn7CfsJ/Qn+CgAKAwoHCgsKEAoWChwKIwoqCjIKOwpFCk8KWQpkCnAKewqHCpMKngqqCrYKwQrMCtYK3wroCvEK+Ar/CwQLCQsNCxELEwsUCxULFQsUCxMLEQsPCwwLCQsGCwIK/wr7CvgK9QrxCu8K7ArpCucK5QrjCuIK4ArfCvsK+gr5CvkK+Ar3CvcK9gr2CvUK9AryCvEK7wrsCuoK5wrjCt8K2wrWCtEKzArGCsAKugq0Cq4KpwqhCpsKlQqPCokKhAp/CnoKdQpxCm0KagpnCmQKYQpfCl0KWwpaClgKVwpVClQKUgpRClAKTgpMCkoKRwpFCkIKPwo7CjgKNAowCisKJwoiCh0KGAoTCg0KCAoCCf0J9wnyCewJ5wniCdwJ1wnSCc0JyAnDCb4Jugm1CbAJrAmnCaMJngmaCZUJkAmLCYYJgQl8CXYJcAlqCWQJXQlWCU8JRwk/CTcJLwkmCR0JFAkLCQEI+AjuCOUI3AjTCMoIwQi4CLAIqAigCJkIkgiLCIUIfwh5CHMIbQhoCGMIXQhYCFMITQhHCEEIOwg0CC0IJQgeCBUIDQgEB/sH8QfoB94H1AfKB8AHtgesB6IHmQeQB4cHfgd2B20HZgdeB1cHTwdIB0EHOgcyBysHIwcbBxMHCwcCBvkG7wbmBtwG0QbGBrsGsAalBpoGjwaEBnoGcAZmBlwGUwZLBkMGPAY1Bi8GKQYkBiAGHAYYBhQGEQYOBgsGCAYFBgIF/wX8BfkF9gXyBe4F6gXmBeIF3QXYBdQFzwXKBcUFwAW7BbYFsgWtBagFowWeBZoFlQWQBYsFhgWABXsFdQVvBWkFYwVdBVYFTwVIBUEFOQUyBSoFIwUbBRMFDAUEBP0E9QTuBOcE4ATZBNMEzATGBMAEugS0BK4EqASiBJwElgSQBIoEhAR+BHgEcgRrBGUEXwRZBFIETARGBEAEOgQ0BC4EKAQiBB0EFwQRBAsEBgQAA/oD9APtA+cD4APZA9EDygPCA7oDsQOpA6ADlwOOA4UDewNyA2kDYANYA1ADSANAAzkDMgMsAyYDIQMcAxgDFAMRAw8DDAMKAwkDBwMGAwUDBAMDAwIDAAL/Av4C/AL6AvgC9gL0AvEC7wLsAukC5gLjAuAC3QLaAtgC1gLUAtIC0QLQAs8CzwLPAs8C0ALRAtIC0wLVAtYC2ALaAtwC3QLeAuAC4ALhAuIC4gLiAuEC4ALgAt4C3QLcAtsC2QLYAtcC1gLVAtUC1QLWAtcC2ALaAtwC3wLiAuYC6QLuAvIC9gL7Av8DAwMHAwoDDgMQAxIDEwMUAxQDEwMSAxADDQMKAwYDAgL9AvkC9ALvAusC5wLjAuAC3gLcAtsC2wLcAt4C4QLlAuoC7wL1AvwDAwMKAxIDGQMgAycDLQMzAzgDPAM/A0ADQQNAAz4DOgM2AzADKQMhAxgDDgMEAvkC7QLiAtYCywK/ArQCqQKfApYCjQKEAn0CdgJwAmsCZgJiAl8CXAJaAlgCVgJVAlMCUgJRAlACTgJNAksCSgJIAkUCQwJAAj4COwI3AjQCMAItAikCJQIgAhwCFwISAg0CCAIDAf4B+QH0Ae8B6gHmAeEB3gHaAdcB1QHUAdQB1AHWAdkB3gHjAeoB8wH8AgcCFAIhAjACQAJQAmECcgKEApYCpwK4AskC2ALmAvMC/gMHAw4DFAMXAxgDFwMUAw8DBwL+AvMC5wLZAsoCuwKqApkCiAJ4AmcCVwJIAjkCLAIgAhUCCwIDAfwB9wHyAe8B7QHsAewB7QHuAfAB8gH0AfYB+AH6AfsB/AH9Af0B/AH7AfkB9wH0AfAB7QHoAeQB3wHaAdUB0AHLAcYBwgG9AbkBtQGxAa4BqwGoAaUBowGhAZ8BnQGbAZoBmAGWAZUBkwGSAZABjwGOAYwBiwGKAYkBiAGHAYcBhwGHAYcBiAGJAYsBjAGOAZEBkwGWAZkBnAGfAaIBpQGoAasBrQGwAbIBtAG2AbcBuQG6AboBuwG7AbsBuwG7AboBugG6AboBugG7AbsBvQG+AcABwgHEAccBywHOAdIB1gHbAeAB5QHqAe8B9QH6Af8CBAIJAg0CEQIVAhkCHAIeAiECIgIkAiUCJQIlAiUCJAIjAiICIQIfAh0CHAIaAhgCFgIUAhMCEQIQAg8CDgIOAg0CDQIOAg4CDwIQAhICEwIVAhcCGQIbAh4CIQIjAiYCKQIrAi4CMQI0AjYCOQI8Aj4CQQJDAkYCSAJKAkwCTwJRAlMCVQJXAlkCWgJcAl4CXwJhAmICYwJkAmUCZgJmAmcCZwJnAmcCZgJmAmUCZQJkAmMCYgJhAmECYAJfAl8CXgJeAl4CXgJfAl8CYAJhAmMCZAJmAmgCagJsAm8CcQJzAnUCdwJ5AnsCfQJ+An8CgAKAAoECgQKAAoACfwJ+An0CfAJ7AnoCeAJ3AnYCdQJ0AnMCcgJyAnECcQJwAnACcAJwAnECcQJxAnECcAJwAnACbwJuAm0CawJqAmgCZgJjAmECXgJbAlgCVQJSAk8CTQJKAkgCRgJEAkICQgJBAkACQQJBAkICQwJFAkcCSQJMAk8CUQJUAlcCWgJdAmACYwJmAmgCagJsAm4CcAJxAnMCdAJ1AnYCdgJ3AngCeAJ5AnoCewJ9An4CgAKCAoQChwKJAo0CkAKTApcCmwKfAqQCqAKsArECtQK5Ar0CwQLFAskCzALQAtMC1gLYAtsC3QLfAuEC4wLlAuYC6ALpAusC7ALuAvAC8QLzAvUC+AL6AvwC/wMCAwUDCAMLAw4DEgMVAxkDHQMiAyYDKwMvAzQDOQM+A0QDSQNPA1QDWgNgA2YDbANyA3gDfgOEA4kDjwOUA5kDngOiA6cDqwOuA7EDtAO3A7oDvAO/A8EDwwPFA8gDygPNA9AD1APYA9wD4QPmA+wD8wP6BAEECQQRBBoEIwQsBDYEPwRJBFIEXARlBG4EdwSABIgEkASYBKAEpwSuBLYEvQTDBMsE0gTZBOEE6QTxBPoFAwUNBRcFIgUtBTgFRAVRBV0FagV3BYQFkQWeBasFuAXEBdAF2wXmBfEF/AYGBg8GGAYhBioGMwY7BkMGSwZUBlwGZAZtBnYGfwaIBpEGmwakBq4GtwbBBsoG0wbcBuUG7Qb1Bv0HAwcKBw8HFAcZBx0HIAcjByUHJwcpByoHKwcsBy0HLgcvBzAHMgc0BzYHOAc7Bz4HQQdFB0kHTQdSB1YHWwdfB2QHaAdtB3EHdQd5B30HgAeDB4YHiQeLB44HkAeTB5UHlweaB50HnwejB6YHqgeuB7IHtwe8B8IHxwfNB9MH2QfgB+YH7AfyB/kH/ggECAoIDwgUCBgIHAggCCQIJwgrCC0IMAgzCDUIOAg7CD0IQAhDCEYISQhNCFEIVQhZCF4IYwhoCG0Icwh4CH4IhAiKCJAIlQibCKEIpwisCLIIuAi9CMIIyAjNCNMI2QjeCOQI6gjwCPYI/QkECQsJEgkaCSEJKQkxCTkJQglKCVIJWwljCWwJdAl8CYQJjAmUCZsJowmqCbEJuAm/CccJzgnVCdwJ5AnsCfQJ/AoECg0KFgogCioKNAo+CkkKVApfCmsKdgqBCowKlwqiCq0KtwrBCssK1ArdCuUK7ArzCvoLAAsFCwoLDwsTCxcLGwseCyELJAsnCyoLLQswCzMLNQs4CzsLPgtBC0QLRwtJC0wLTgtPC1ELUgtTC1MLUgtRC08LTQtKC0YLQQs8CzcLMAsqCyILGgsSCwoLAQr5CvAK5wreCtUKzQrECrwKtAqtCqUKngqXCpEKiwqFCn8KeQp0Cm4KaQpkCl8KWQpUCk8KSgpFCkAKOwo3CjMKLworCigKJgokCiIKIgoiCiQKJgopCi4KMwo5CkEKSQpSClwKZwpzCn8KjAqZCqYKtArBCs4K2wroCvMK/wsJCxMLGwsjCykLLwszCzYLOQs6CzoLOgs5CzYLNAsxCy0LKQslCyELHAsYCxQLEAsMCwkLBgsDCwEK/wr9CyALHAsZCxcLFAsSCxALDgsMCwoLCAsGCwQLAgsACv0K+gr3CvQK8ArtCugK5ArfCtoK1QrPCsoKxAq+CrkKswquCqkKpAqgCpwKmQqWCpMKkgqQCo8KjwqPCpAKkQqSCpMKlQqWCpgKmgqbCpwKnAqdCpwKnAqaCpgKlQqSCo4KiQqECn0KdwpwCmgKYApYCk8KRgo9CjQKKwoiChkKEAoHCf8J9wnvCecJ3wnYCdIJywnECb4JuAmyCawJpwmhCZsJlgmQCYoJhAl9CXcJcAlpCWIJWglTCUsJQgk6CTEJKAkfCRUJDAkCCPgI7gjkCNsI0QjHCL4ItQisCKMImwiTCIsIhAh9CHYIbwhpCGMIXAhWCFAISghECD0INwgwCCkIIggaCBEICQgAB/cH7QfjB9kHzwfFB7oHsAemB5wHkweJB4AHdwdvB2cHYAdZB1IHSwdFBz8HOQczBy0HJgcgBxkHEQcJBwEG+AbuBuQG2QbOBsMGtwarBp4GkgaGBnoGbgZjBlgGTgZFBj0GNQYuBikGJAYhBh4GHAYaBhoGGgYaBhsGGwYcBh0GHgYfBh8GHwYfBh4GHQYbBhkGFwYVBhIGDwYMBgkGBgYDBgAF/QX6BfcF9AXyBe8F7AXqBeYF4wXgBdsF1wXSBcwFxgW+BbcFrgWkBZoFjwWEBXgFawVeBVEFQwU1BSgFGgUNBQAE8wTnBNsE0ATGBLwEsgSpBKEEmQSSBIwEhQR/BHkEdARuBGkEZARfBFkEVARPBEkERAQ+BDkEMwQtBCgEIgQcBBYEEAQKBAQD/wP5A/MD7QPmA+AD2gPTA80DxQO+A7cDrwOnA58DlgONA4QDegNxA2cDXQNTA0kDPwM1AysDIQMYAw4DBgL9AvUC7QLmAuAC2QLUAs4CygLFAsECvgK7ArgCtQKzArECrwKuAqwCqwKqAqkCqAKnAqYCpQKlAqQCowKiAqICoQKhAqACoAKfAp8CnwKfAp8CnwKgAqACoAKhAqICogKjAqMCpAKkAqUCpQKlAqUCpQKkAqQCowKiAqECnwKeApwCmgKYApYClAKSApACjwKNAowCiwKKAooCiwKLAo0CjgKRApMClgKaAp4CogKmAqsCrwK0ArgCvALAAsMCxgLJAsoCywLMAssCygLIAsUCwgK/ArsCtgKxAq0CqAKkAp8CmwKYApUClAKTApMCkwKVApgCmwKgAqUCqwKxArgCvwLGAs0C1ALbAuAC5gLqAu4C8ALxAvEC8ALuAuoC5gLgAtkC0QLIAr8CtQKrAqAClQKLAoACdgJsAmICWQJRAkkCQgI8AjYCMQIsAigCJQIhAh8CHAIaAhgCFgIVAhMCEgIQAg8CDgIMAgsCCQIIAgYCBQIDAgICAAH+AfwB+gH3AfUB8gHvAesB6AHkAeAB2wHWAdEBzAHHAcEBvQG4AbQBsAGtAasBqgGrAawBsAG0AbsBwwHMAdgB5QHzAgMCFAInAjoCTgJiAnYCiwKeArECwgLSAuEC7gL4AwADBgMJAwoDCAMEAv0C8wLoAtoCywK7AqgClgKCAm4CWgJGAjMCIAIOAf0B7gHgAdQByQHAAbgBsgGtAaoBqAGnAacBqAGqAawBrgGxAbQBtwG5AbsBvQG+Ab8BvwG/Ab4BvQG8AboBtwG1AbIBrwGsAakBpgGjAaABngGbAZkBlwGVAZMBkgGRAY8BjgGNAYsBigGJAYgBhgGFAYQBggGAAX8BfQF7AXoBeAF3AXYBdQF0AXQBdAF0AXQBdQF2AXgBegF8AX4BgQGDAYYBiAGLAY4BkAGTAZUBlwGZAZoBmwGcAZ0BngGeAZ4BngGeAZ4BngGeAZ4BngGfAZ8BoAGiAaMBpQGoAasBrgGxAbUBuQG+AcIBxwHMAdEB1gHbAeAB5AHpAe0B8QH1AfgB+wH+AgACAgIDAgQCBQIFAgUCBAIDAgICAQH/Af0B+wH5AfcB9QHzAfEB7gHsAeoB6AHnAeUB5AHjAeIB4gHhAeEB4gHiAeMB5AHlAecB6AHqAewB7gHxAfMB9QH4AfoB/QH/AgICBAIGAggCCgIMAg4CEAISAhMCFAIWAhcCGAIaAhsCHAIdAh4CHwIgAiECIQIiAiICIwIjAiMCIwIjAiMCIgIiAiECIQIgAh8CHgIdAhwCGwIaAhkCGQIYAhgCGAIYAhkCGgIbAhwCHQIfAiECIwImAigCKwItAjACMwI1AjcCOQI7Aj0CPwJAAkECQQJCAkICQgJCAkECQAJAAj4CPQI8AjsCOgI5AjgCNgI1AjQCMwIyAjECMAIvAi4CLQIrAioCKAInAiQCIgIgAh0CGgIXAhMCEAIMAggCBAIBAf0B+QH2AfIB7wHsAeoB6AHmAeUB5AHkAeQB5QHmAecB6QHrAe4B8QH0AfgB+wH/AgMCBwIKAg4CEgIVAhgCGwIeAiACIwIlAicCKQIqAisCLQIuAi8CMQIyAjQCNQI3AjkCPAI+AkECRAJHAksCTgJTAlcCWwJgAmQCaQJuAnMCdwJ8AoAChQKJAo0CkAKTApcCmQKcAp4CoAKhAqMCpAKlAqYCpwKoAqkCqgKrAqwCrgKvArECsgK0ArcCuQK7Ar4CwQLFAsgCzALQAtMC2ALcAuAC5QLpAu4C8wL4Av0DAgMHAwwDEgMXAxwDIgMnAywDMQM3AzwDQQNGA0oDTwNTA1cDWwNfA2IDZQNpA2wDbwNyA3UDeQN8A4ADhAOIA40DkgOYA54DpQOsA7QDvQPGA9AD2gPkA+8D+gQFBBAEHAQnBDIEPQRIBFIEXQRnBHAEeQSDBIsElAScBKUErQS2BL8EyATRBNsE5gTwBPwFBwUUBSEFLgU7BUkFVwVlBXMFgQWPBZ0FqgW2BcIFzgXYBeIF6wX0BfwGAwYKBhAGFgYbBiEGJgYsBjEGNwY9BkQGSwZTBlsGZAZtBncGgQaLBpYGoQasBrYGwAbKBtQG3QblBu0G9Ab6Bv8HAwcHBwoHDAcOBw8HEAcRBxIHEgcTBxQHFgcYBxoHHgchByYHKwcxBzgHPwdGB08HVwdgB2kHcgd7B4QHjQeVB50HpAerB7EHtge7B78HwwfGB8gHygfLB8wHzQfNB80HzQfNB8wHzAfMB8wHzAfMB80HzQfOB88H0AfRB9IH0wfUB9UH1gfXB9gH2QfZB9oH2gfbB9sH2wfbB9sH2wfbB9wH3AfdB94H3wfgB+EH4wflB+gH6gftB/EH9Af4B/sH/wgDCAcICwgPCBMIGAgcCCAIJAgoCCwIMAg0CDgIPQhCCEYITAhRCFcIXQhkCGsIcwh7CIMIjQiWCKAIqgi1CMAIywjXCOMI7wj7CQcJEwkfCSsJNglCCU4JWgllCXEJfAmHCZMJngmqCbUJwQnNCdoJ5gnzCgAKDgocCioKOApHClYKZQp0CoMKkgqhCrAKvwrOCtwK6gr4CwQLEQsdCykLMws+C0gLUQtaC2ILagtxC3gLfguFC4sLkAuVC5oLnwukC6gLrAuwC7MLtwu6C7wLvgvAC8ELwgvCC8ELwAu+C7wLuAu1C7ALqwulC54LlwuPC4cLfgt2C20LYwtaC1ELSAs/CzcLLwsnCyALGQsTCw4LCQsFCwEK/wr8CvoK+Qr4CvcK9gr2CvUK9Qr0CvMK8grxCu8K7QrqCucK5ArgCtwK1wrSCs0KyArDCr4KuQq0CrAKrAqpCqcKpQqkCqQKpQqnCqoKrgqzCrkKvwrHCs8K1wrhCuoK9Ar+CwgLEgsbCyULLQs2Cz0LRAtLC1ALVQtYC1sLXQteC14LXgtdC1sLWAtVC1ILTgtKC0YLQQs9CzgLNAsvCysLJwsjC0oLQws8CzULLgsnCyELGwsVCxALCwsHCwMLAAr8CvoK9wr1CvMK8grwCu8K7grtCuwK6wrqCuoK6QroCugK5wrnCucK5wroCugK6QrrCuwK7grxCvMK9gr6Cv0LAAsECwcLCgsNCw8LEQsSCxILEgsQCw4LCwsGCwEK+grzCuoK4ArWCssKvwqyCqUKmAqLCn0KbwpiClUKSAo7Ci8KJAoZCg8KBQn8CfQJ7AnkCd0J1wnQCcoJxAm+CbkJswmtCacJoQmaCZMJjQmFCX4JdgluCWYJXQlVCUwJQwk5CTAJJwkdCRQJCgkACPcI7QjkCNsI0QjICL8ItgitCKUInAiUCIsIgwh7CHMIawhjCFoIUghKCEIIOQgwCCgIHggVCAsIAgf4B+0H4wfYB84Hwwe5B64HpAeaB5AHhwd+B3YHbgdnB2EHWwdWB1IHTgdKB0cHRAdBBz8HPAc5BzYHMgcuBygHIgccBxQHCwcCBvcG7AbgBtQGxwa5BqwGngaRBoQGeAZtBmIGWQZRBkoGRQZABj4GPAY8Bj0GPwZCBkYGSgZPBlQGWQZeBmMGZwZrBm4GcAZyBnMGcwZyBnEGcAZtBmsGaAZlBmIGXwZcBlkGVgZTBlEGTwZMBkoGSAZFBkIGPwY6BjYGMAYpBiIGGQYPBgMF9wXpBdoFygW5BagFlQWCBW8FXAVIBTUFIgUQBP4E7QTdBM4EwASzBKgEnQSTBIoEggR7BHQEbwRpBGQEXwRaBFUEUQRMBEYEQQQ7BDUELwQpBCIEGgQTBAsEBAP8A/QD7APkA9wD1APMA8UDvQO2A68DpwOgA5oDkwOMA4UDfgN4A3EDagNjA1wDVQNNA0YDPgM2Ay4DJgMdAxUDDAMDAvoC8QLoAt8C1gLNAsQCvAKzAqsCowKbApQCjQKHAoECfAJ3AnICbwJsAmkCaAJmAmYCZgJmAmYCaAJpAmsCbQJvAnECcwJ0AnYCeAJ5AnoCewJ7AnsCewJ6AnkCdwJ2AnMCcQJvAmwCaQJnAmQCYQJfAlwCWQJXAlUCUwJRAk8CTgJNAksCSgJJAkgCRwJGAkUCRAJDAkICQgJBAkECQQJBAkECQgJCAkQCRQJHAkkCSwJOAlECVQJYAlwCYAJjAmcCagJuAnECcwJ2AncCeAJ5AngCeAJ2AnQCcgJvAmwCaQJlAmECXgJaAlcCVQJTAlECUQJRAlECUwJWAlkCXQJiAmgCbQJzAnoCgAKGAowCkgKXApsCngKhAqICowKiAqACnQKZApMCjQKGAn4CdgJtAmMCWgJQAkcCPQI0AisCIwIbAhQCDQIHAgIB/QH4AfQB8QHuAesB6QHmAeQB4gHhAd8B3QHcAdoB2QHYAdYB1QHUAdMB0gHRAdABzwHOAcwBywHKAcgBxgHEAcEBvgG7AbcBsgGuAakBowGeAZkBkwGOAYoBhgGDAYEBgAGAAYIBhgGLAZMBnAGnAbQBwwHTAeUB+AIMAiICNwJNAmMCeAKNAqACsgLCAtAC3ALlAusC7wLwAu4C6QLiAtgCywK8AqwCmQKFAnECWwJGAjACGgIFAfEB3gHMAbwBrQGfAZQBigGCAXsBdgFzAXEBcAFwAXABcgF0AXYBeQF8AX4BgAGDAYQBhgGHAYcBhwGHAYcBhgGFAYQBggGBAX8BfgF8AXsBegF5AXgBdwF3AXYBdgF2AXYBdgF2AXcBdwF3AXcBdgF2AXYBdQF0AXMBcgFxAXABbwFuAW0BbAFrAWsBagFqAWoBagFrAWsBbAFtAW8BcAFyAXQBdgF3AXkBewF8AX4BfwGAAYABgQGBAYEBgQGBAYABgAF/AX8BfgF+AX4BfgF+AX4BfwGAAYIBhAGGAYkBjAGPAZMBlwGbAaABpAGpAa0BsgG3AbsBvwHEAcgBywHPAdIB1QHXAdkB2wHdAd4B3wHgAeEB4QHhAeEB4QHgAeAB3wHeAd0B3AHbAdoB2QHXAdYB1AHTAdIB0AHPAc0BzAHLAcoByQHJAcgByAHIAcgByAHJAckBygHLAc0BzgHPAdAB0gHTAdUB1gHXAdkB2gHaAdsB3AHcAdwB3AHcAdwB3AHcAdsB2wHbAdoB2gHaAdoB2gHaAdoB2gHaAdsB2wHcAdwB3QHdAd4B3gHeAd8B3wHfAd8B3wHfAd8B3wHfAd4B3gHeAd4B3wHfAeAB4AHhAeIB5AHmAecB6QHrAe4B8AHyAfUB9wH5AfwB/gIAAgICAwIEAgUCBgIHAgcCBwIHAgYCBQIEAgMCAgIBAf8B/QH8AfoB+AH2AfQB8gHwAe4B7AHqAecB5AHiAd8B3AHZAdUB0gHOAcoBxgHCAb4BugG2AbIBrgGqAacBowGgAZ0BmwGZAZcBlgGVAZQBlAGVAZUBlgGYAZoBnAGfAaIBpQGoAawBrwGzAbcBuwG+AcIBxgHKAc0B0QHUAdgB2wHeAeEB5AHmAekB7AHuAfEB8wH1AfgB+gH9Af8CAgIFAggCCwIOAhICFQIZAh0CIQIlAikCLgIyAjYCOgI+AkICRgJKAk0CUQJTAlYCWAJaAlwCXgJfAmACYQJhAmECYgJiAmICYgJjAmMCZAJkAmUCZgJoAmkCawJtAnACcgJ1AngCewJ/AoIChgKKAo4CkgKWApoCngKiAqYCqwKvArMCuAK8AsACxQLJAs4C0gLXAtwC4ALlAuoC7wL0AvkC/gMDAwkDDgMUAxoDIAMmAy0DMwM7A0MDSwNUA10DZwNxA3wDhwOTA6ADrQO6A8gD1gPkA/IEAAQOBBwEKgQ3BEQEUARcBGcEcQR7BIUEjgSWBJ4EpgStBLUEvATDBMsE0wTcBOQE7QT3BQIFDQUYBSQFMAU8BUkFVQViBW4FewWGBZEFnAWlBa4FtwW+BcQFygXOBdIF1gXZBdwF3gXgBeMF5gXpBewF8AX1BfoGAQYIBg8GGAYhBisGNQZABksGVgZhBmwGdgaBBosGlAacBqUGrAazBrkGvwbEBskGzgbTBtgG3QbiBugG7gb1Bv0HBgcPBxkHJQcxBz4HSwdaB2gHeAeHB5cHpge2B8UH0wfhB+8H+wgHCBIIGwgkCCwIMwg4CD0IQAhDCEUIRghGCEYIRQhECEIIPwg9CDoINggzCC8IKwgnCCIIHggZCBQIDggJCAMH/Qf3B/EH6gfjB90H1gfPB8gHwge7B7UHrwepB6MHngeaB5YHkgePB40HiweKB4kHiQeJB4oHiweMB44HkQeTB5YHmAebB54HoQekB6cHqgesB68Hsge1B7cHuge9B8AHxAfIB8wH0QfWB9wH4wfqB/IH+ggECA4IGQgkCDEIPghLCFoIaAh4CIcIlwinCLgIyAjZCOkI+gkKCRoJKgk6CUoJWglpCXgJiAmXCaUJtAnDCdIJ4QnwCf4KDQocCisKOwpKClkKaAp4CocKlgqlCrQKwwrSCuEK7wr+CwsLGQsnCzQLQQtNC1kLZQtxC3wLhguRC5oLpAutC7YLvgvFC8wL0gvYC94L4gvmC+kL6wvtC+0L7QvsC+oL6AvkC+AL2gvUC80LxQu9C7MLqgufC5ULiQt+C3MLZwtcC1ALRQs7CzALJwseCxYLDwsJCwQLAQr+CvwK/Ar9Cv8LAwsHCwwLEwsaCyILKws0Cz4LSAtRC1sLZQtuC3YLfguGC4wLkguWC5kLnAudC50LmwuZC5YLkguNC4cLgAt5C3ILagtjC1sLVAtMC0YLQAs6CzULMQsuCysLKgsqCyoLKwstCzALNAs4Cz0LQgtHC00LUwtZC18LZQtrC3ALdQt5C30LgAuCC4QLhQuFC4QLgwuAC30Legt1C3ALawtlC14LWAtRC4MLewtyC2kLXwtWC00LRAs8CzQLLQsnCyILHgsaCxgLFwsWCxcLGAsbCx4LIgsmCysLMAs1CzsLQQtHC00LUwtZC18LZQtrC3ELdgt8C4ELhguLC48LlAuXC5sLngugC6ILowujC6ILoAudC5gLkguLC4MLeQtuC2ILVAtFCzULJAsSCwAK7QraCscKtAqhCo8KfQpsClwKTQo/CjIKJgobChEKCAoACfgJ8gnsCeYJ4QncCdcJ0gnMCccJwQm6CbMJrAmkCZsJkgmJCX8JdAlqCV8JVAlJCT4JMwkoCR4JFAkKCQAI9gjtCOUI3AjUCMwIxAi9CLUIrgimCJ8IlwiQCIgIgAh3CG8IZghdCFQISghBCDYILAghCBYICwgAB/UH6QfeB9MHyAe9B7IHqAeeB5QHiweDB3wHdQdvB2oHZgdjB2EHXwdeB14HXwdgB2EHYwdkB2YHZwdoB2gHZwdmB2MHXwdaB1MHSwdCBzgHLAcgBxIHBAb2BucG2AbKBrwGrwajBpgGjgaGBn8GegZ3BnUGdQZ3BnoGfgaDBokGkAaXBp4GpQarBrEGtwa7Br8GwQbDBsMGwgbABr4Guwa3BrMGrgapBqQGnwaaBpUGkQaNBokGhQaBBn0GegZ1BnEGbAZmBl8GVwZNBkMGNwYpBhsGCgX5BeYF0gW9BacFkQV7BWQFTQU3BSIFDQT5BOYE1QTFBLYEqQSdBJIEiQSBBHoEdARvBGsEZwRjBGAEXQRZBFYEUgRNBEgEQgQ8BDUELQQlBBwEEwQKA/8D9QPqA98D1APJA74DtAOpA58DlQOLA4IDeQNwA2gDYQNaA1MDTQNHA0IDPQM4AzQDMAMsAygDJAMgAxwDGAMTAw8DCgMEAv4C+ALxAuoC4wLbAtICygLBArgCrgKlApwClAKLAoMCfAJ1AnACagJmAmMCYQJfAl8CYAJhAmMCZQJoAmwCcAJzAncCegJ9AoACggKDAoMCggKBAn4CegJ2AnACagJjAlwCVAJMAkMCOwIyAioCIwIbAhUCDwIKAgYCAgH/Af4B/QH8Af0B/QH/AgACAgIEAgUCBwIJAgoCCwIMAgwCDAIMAgwCCwIKAgkCCAIHAgYCBQIFAgUCBQIGAgcCCAIKAgwCDwISAhUCGAIbAh4CIQIkAicCKQIqAisCLAIsAiwCKwIqAigCJgIkAiICIAIeAhwCGgIZAhkCGQIZAhsCHQIfAiICJgIqAi8CMwI4Aj0CQQJGAkkCTQJPAlECUgJSAlECTwJMAkgCQwI+AjgCMQIqAiMCGwITAgwCBAH9AfYB7wHpAeQB3wHaAdYB0gHPAc0BygHIAcUBwwHBAb8BvQG7AbkBtwG1AbIBsAGuAasBqQGnAaQBogGhAZ8BnQGcAZoBmQGXAZUBkwGRAY8BjQGKAYYBgwF/AXsBdgFyAW0BaQFlAWEBXgFcAVsBWwFdAWEBZgFsAXUBfwGMAZoBqgG7Ac4B4gH3AgwCIgI3AkwCYAJzAoQCkwKgAqsCswK5ArsCuwK4ArICqgKeApECgQJwAl0CSgI1AiACCwH2AeEBzgG7AaoBmgGLAX4BcwFqAWIBWwFWAVMBUQFQAU8BUAFRAVIBUwFVAVYBWAFZAVoBWgFaAVoBWQFYAVcBVQFUAVIBUAFOAU0BSwFKAUkBSAFIAUgBSAFIAUkBSgFMAU0BTwFQAVIBVAFWAVgBWQFbAVwBXQFeAV8BYAFgAWABYQFhAWEBYQFhAWEBYQFhAWIBYgFjAWMBZAFlAWYBZwFoAWkBagFrAWwBbQFuAW4BbwFvAW8BbwFuAW0BbQFsAWsBagFpAWgBZwFmAWUBZQFlAWUBZgFmAWgBagFsAW4BcQF0AXgBfAGAAYQBiAGMAZEBlQGZAZ0BoQGlAagBqwGuAbEBtAG2AbgBuQG7AbwBvgG/AcABwQHCAcIBwwHEAcQBxQHFAcYBxgHGAccBxwHGAcYBxgHFAcQBwwHCAcEBwAG+Ab0BuwG6AbkBtwG2AbUBtAG0AbMBswGzAbMBswGzAbQBtQG1AbYBtwG3AbgBuQG5AbkBuQG5AbgBtwG2AbUBswGxAbABrgGsAaoBqAGmAaQBogGhAaABnwGeAZ4BnQGeAZ4BnwGgAaEBogGkAaUBpwGoAaoBrAGtAa8BsAGxAbIBtAG0AbUBtgG3AbgBuQG6AbsBuwG9Ab4BvwHBAcIBxAHFAccByQHLAcwBzgHPAdAB0QHSAdIB0gHSAdIB0QHQAc8BzQHLAckBxgHDAcEBvgG7AbcBtAGxAa4BqwGnAaQBoQGeAZsBlwGUAZEBjgGLAYcBhAGBAX4BewF3AXQBcQFuAWsBaAFmAWMBYQFfAV0BXAFbAVoBWQFZAVkBWgFbAVwBXQFeAWABYgFkAWYBaQFrAW4BcAFzAXYBeQF8AYABgwGGAYoBjQGRAZUBmQGcAaABpAGoAawBsAG0AbcBuwG/AcIBxgHJAcwBzwHSAdUB2AHaAd0B4AHiAeUB5wHqAewB7wHyAfUB+AH7Af0CAAIDAgYCCQIMAg4CEQITAhUCFwIYAhkCGgIbAhsCGwIbAhoCGQIZAhgCFwIWAhUCFAITAhMCEgITAhMCFAIVAhYCGAIbAh0CIAIjAicCKgIuAjICNgI6Aj4CQwJHAksCTwJTAlgCXAJgAmQCaAJsAnACdQJ5An4CggKHAo0CkgKYAp4CpAKrArICugLCAssC1ALeAugC8wL+AwoDFwMkAzIDQQNQA2ADcAOBA5IDpAO1A8cD2QPrA/wEDQQeBC4EPgRMBFoEZwRzBH4EiASSBJoEogSoBK4EtAS5BL4EwwTIBM0E0gTYBN0E5ATrBPIE+gUDBQwFFQUeBSgFMgU8BUUFTgVXBV8FZgVtBXMFeAV8BYAFgwWFBYcFiQWLBYwFjgWQBZIFlQWYBZwFoQWnBa4FtQW+BccF0AXbBeYF8QX8BgcGEwYeBikGMwY9BkcGUAZZBmIGagZyBnoGgwaLBpQGnQaoBrMGvwbMBtoG6Qb5BwoHHQcwB0QHWQduB4QHmQevB8QH2QftCAAIEwgkCDMIQghPCFsIZQhuCHUIewiACIQIhwiJCIoIiwiLCIoIigiICIcIhQiDCIEIfgh7CHgIdAhwCGsIZghfCFkIUQhJCEAINggrCCAIEwgHB/oH7AfeB9AHwge0B6YHmAeLB34HcgdnB1wHUwdKB0IHPAc2BzIHLgcrByoHKQcpBykHKgcsBy8HMQc0BzcHOgc+B0EHRAdIB0sHTgdRB1MHVgdZB1sHXgdhB2QHZwdqB24Hcwd4B34HhAeLB5MHnAemB7EHvQfKB9gH5wf3CAgIGggsCD8IUwhnCHwIkginCL0I0wjpCP8JFQkrCUEJVwlsCYEJlQmpCbwJ0AniCfUKBgoXCigKOQpJClgKZwp2CoQKkgqgCq4KuwrICtUK4gruCvsLBwsUCyALLAs4C0QLUAtcC2gLdAt/C4sLlgugC6oLtAu+C8cLzwvWC90L4wvoC+wL7wvxC/IL8gvxC+8L7AvnC+IL2wvUC8sLwgu3C6wLoAuUC4cLeQtrC10LTwtACzILIwsVCwcK+grtCuEK1grLCsIKuQqyCq0KqAqlCqQKpAqmCqoKrwq2Cr4KyQrUCuIK8AsACxELIws1C0gLXAtvC4MLlguoC7oLywvbC+oL9wwCDAwMFAwaDB8MIQwiDCEMHgwZDBMMCwwCC/gL7QviC9YLyQu9C7ALowuXC4wLgQt3C24LZgtfC1kLVAtRC04LTgtOC08LUgtVC1kLXgtkC2oLcQt4C38LhQuMC5ILmAudC6ELpAumC6gLqAunC6ULogudC5gLkguLC88LzAvIC8MLvQu3C7ALqQuiC5sLlQuPC4oLhguDC4ELgAuBC4MLhguKC48LlgucC6QLrAu1C74LxwvQC9gL4QvpC/EL+Av/DAUMCgwPDBMMFwwaDBwMHQwdDB0MHAwaDBcMEwwNDAcMAAv3C+0L4gvVC8cLuAunC5ULgwtvC1oLRQsvCxkLAwrtCtgKwwquCpsKiAp3CmcKWApLCj8KNAorCiMKGwoVChAKCwoGCgEJ/Qn4CfMJ7gnoCeEJ2QnQCccJvAmxCaUJmAmKCXwJbglfCVAJQgkzCSUJGAkLCP4I8gjnCN0I1AjLCMMIvAi1CK8IqQikCJ4ImQiUCI4IiAiCCHwIdghuCGcIXghWCE0IQwg5CC8IJAgaCA8IBAf5B+4H4wfYB84HxAe7B7IHqgejB5wHlgeRB40HigeIB4cHhweHB4kHiweOB5IHlgebB6AHpQepB64Hsge1B7cHuQe5B7gHtgeyB6wHpQecB5IHhgd5B2sHXAdNBz0HLQcdBw0G/gbwBuMG2AbOBsUGvga5BrYGtAa0BrUGuAa7Br8GxAbKBs8G1AbYBtwG4AbiBuMG4wbiBuAG3QbZBtQGzgbIBsIGuwa0Bq0GpgafBpkGkwaNBogGgwZ+BnkGcwZtBmcGYAZYBk8GRAY5BisGHQYMBfsF6AXUBb4FqAWRBXkFYgVKBTMFGwUFBPAE3ATKBLkEqQSbBI8EhAR7BHMEbQRoBGQEYQRfBF0EWwRaBFkEVwRVBFMEUQRNBEkERQRABDkEMwQsBCQEGwQSBAgD/gP0A+kD3gPTA8gDvAOxA6YDmwOQA4UDewNxA2cDXgNWA04DRwNAAzsDNQMxAy0DKgMnAyUDIwMiAyADHwMeAx0DHAMaAxgDFQMSAw4DCgMFAv8C+QLyAusC4wLbAtMCzALEAr0CtgKwAqoCpgKiAqACnwKeAp8CoQKjAqYCqgKvArMCuAK8AsACxALHAsgCyQLIAsYCwgK9ArcCrgKkApkCjQKAAnICYwJUAkQCNQImAhgCCgH+AfMB6QHgAdkB1AHQAc0BzAHNAc4B0AHUAdcB3AHgAeQB6AHsAe8B8gHzAfQB9AHzAfIB7wHsAegB5AHfAdoB1QHQAcsBxwHDAcABvgG8AbsBuwG8Ab0BwAHCAcYByQHNAdIB1gHaAd0B4QHkAeYB6AHpAeoB6wHqAeoB6QHoAeYB5QHjAeIB4QHhAeAB4AHhAeIB5AHmAegB6wHuAfEB9AH3AfkB/AH9Af8B/wH/Af4B/QH6AfcB8wHvAeoB5AHfAdkB0wHNAccBwQG8AbcBsgGuAaoBpwGkAaIBoAGeAZwBmgGZAZcBlgGUAZIBkAGNAYoBhwGEAYEBfQF6AXYBcwFvAWwBagFnAWUBYwFiAWABXwFeAV0BXQFcAVsBWgFZAVcBVQFTAVEBTgFLAUgBRgFDAUEBPwE+AT4BQAFCAUYBSwFSAVsBZgFyAX8BjgGfAbABwwHWAekB/AIOAiACMQJAAk0CWAJhAmgCbAJuAmwCaAJiAlkCTgJBAjICIgIRAf8B7AHaAccBtgGlAZUBhgF5AW0BYgFZAVIBTAFIAUUBQwFBAUEBQQFCAUMBQwFEAUQBRAFEAUMBQQE/AT0BOgE2ATIBLgEqASYBIgEeARoBFgETAREBDwENAQwBDAEMAQ0BDwEQARMBFQEYARsBHgEhASUBKAErAS4BMQE0ATcBOQE8AT4BQAFCAUQBRQFHAUkBSgFMAU0BTgFQAVEBUgFUAVUBVgFYAVkBWgFbAVsBXAFdAV0BXQFdAV0BXQFcAVwBWwFaAVkBWQFYAVcBVwFWAVYBVgFXAVgBWQFaAVwBXgFgAWMBZgFpAWwBcAF0AXgBfAF/AYMBhwGLAY4BkgGVAZgBmgGdAZ8BoQGjAaQBpgGnAakBqgGrAawBrQGuAbABsQGyAbQBtQG2AbcBuAG5AboBuwG7AbwBvAG7AbsBugG5AbgBtgG0AbIBsAGuAawBqQGnAaQBogGgAZ8BnQGcAZsBmgGZAZkBmQGZAZkBmQGaAZoBmwGbAZsBmwGbAZsBmgGZAZgBlwGVAZMBkQGPAY0BigGIAYYBhAGCAYABfgF9AXwBfAF7AXwBfAF9AX4BgAGBAYMBhQGHAYoBjAGOAZABkgGUAZYBmAGZAZoBmwGcAZ0BngGeAZ8BnwGgAaABoAGhAaIBogGjAaQBpAGlAaYBpgGnAacBpwGnAacBpgGlAaQBogGgAZ0BmgGXAZMBjwGLAYYBggF9AXgBcwFvAWoBZQFhAVwBWAFUAVEBTQFKAUcBQwFBAT4BPAE5ATcBNQEzATEBMAEuAS0BKwEqASkBKQEoASgBKAEpASkBKgErAS0BLgEwATIBNAE2ATgBOwE9AT8BQgFEAUYBSAFLAU0BTwFRAVMBVQFXAVkBXAFeAWEBZAFnAWoBbgFxAXUBeQF9AYIBhgGKAY4BkgGWAZoBngGhAaQBpwGqAawBrgGwAbIBswG0AbYBtwG3AbkBugG7AbwBvQG/AcEBwgHEAcYByAHKAc0BzwHQAdIB1AHVAdYB1wHXAdcB1wHWAdUB1AHSAdABzgHMAcoByAHGAcQBwwHCAcEBwQHBAcIBwwHFAccBygHOAdEB1gHaAd8B5AHpAe4B9AH5Af4CAwIIAg0CEgIXAhsCIAIkAikCLQIyAjYCOwJAAkYCTAJSAlgCXwJnAm8CeAKBAowClgKiAq4CuwLJAtgC5wL3AwcDGQMqAz0DUANjA3YDigOdA7EDxQPYA+oD/QQOBB8ELwQ9BEsEWARjBG4EdwR/BIYEjASRBJYEmgSeBKEEpASnBKsErwSzBLcEvQTCBMkE0ATXBN8E5wTwBPkFAQUKBRMFGwUiBSkFMAU2BTsFQAVEBUcFSwVOBVAFUwVWBVoFXgVjBWgFbgV2BX4FhwWRBZwFqAW1BcIF0AXeBewF+gYIBhUGIgYuBjoGRgZQBloGZAZuBncGgAaJBpMGnQaoBrQGwgbQBt8G8AcDBxYHKwdBB1gHcAeIB6AHuAfQB+cH/QgSCCUINwhGCFQIXwhpCHAIdQh4CHkIeAh2CHMIbwhqCGUIXwhaCFQITwhKCEYIQgg/CDwIOgg4CDYINAgzCDAILQgqCCYIIAgaCBIICQf/B/MH5gfYB8kHuQeoB5YHhAdxB18HTQc7BykHGQcJBvsG7QbhBtYGzQbFBr8Guga2BrQGswazBrUGtwa6Br4GwgbHBs0G0wbZBt8G5QbsBvIG+Ab+BwQHCQcPBxQHGQcdByIHJgcrBy8HNAc4Bz0HQgdIB04HVQdcB2UHbgd4B4MHjwecB6oHugfLB90H8AgECBkIMAhHCF8IeQiTCK4IyQjlCQEJHQk6CVcJcwmPCasJxwniCfwKFgouCkcKXgp0CokKnQqxCsMK1QrmCvULBAsSCyALLQs5C0ULUAtbC2YLcAt6C4QLjguXC6ELqguzC70LxgvOC9cL3wvnC+4L9Qv8DAEMBwwLDA4MEQwTDBQMFAwTDBEMDgwKDAUL/wv4C/AL5wveC9MLyAu8C7ALoguVC4cLeAtqC1oLSws7CywLHAsMCvwK7QrdCs4KwAqyCqQKmAqMCoIKeApwCmkKZApgCl4KXgpgCmQKagpyCnwKiQqXCqcKuArMCuAK9gsNCyQLPAtVC20LhgudC7QLygvfC/IMBAwUDCIMLgw4DD8MRQxJDEoMSgxHDEMMPQw1DCwMIgwXDAoL/QvvC+EL0wvEC7YLqAubC44Lggt3C20LZAtdC1YLUgtOC00LTQtOC1ELVQtaC2ELaAtwC3kLgwuNC5YLoAupC7ILugvBC8cLywvPC9EL0gvRDBoMIQwnDCsMLQwtDCwMKgwnDCQMHwwbDBcMEwwPDAwMCwwKDAoMCwwNDBAMFAwYDB4MJAwqDDAMNww9DEMMSAxNDFEMVAxWDFgMWAxYDFYMVAxRDE0MSAxDDD0MNgwuDCYMHgwVDAsMAAv1C+kL3AvPC8ALsQuiC5ELgQtvC10LSws5CycLFQsDCvEK4ArQCsAKsgqkCpgKjAqCCnkKcQppCmMKXQpXClIKTgpJCkQKPgo5CjIKKgoiChkKDwoDCfcJ6QnbCcwJvAmrCZoJiQl3CWYJVQlECTQJJQkWCQkI/AjwCOYI3AjTCMsIxQi+CLkItAivCKoIpgihCJ0ImAiSCIwIhgh/CHgIcAhnCF4IVQhLCEEINwgsCCIIGAgOCAQH+wfyB+oH4gfbB9UHzwfKB8cHwwfBB8AHvwe/B8AHwgfEB8gHywfPB9QH2AfdB+IH6AfsB/EH9Qf4B/oH/Af8B/sH+Qf1B/AH6QfhB9gHzAfAB7IHpAeUB4QHcwdiB1IHQQcxByIHFAcHBvwG8QboBuEG2wbWBtMG0QbQBs8GzwbQBtAG0QbRBtEG0AbPBs0GygbGBsIGvAa2BrAGqQaiBpsGkwaMBoUGfwZ4BnIGbQZoBmIGXgZZBlMGTgZHBkAGOAYvBiUGGQYMBf0F7QXbBcgFswWeBYcFcAVYBUAFKAURBPoE5ATPBLsEqASYBIgEegRuBGQEWwRTBE0ESAREBEEEPgQ8BDoEOQQ4BDYENQQ0BDIEMAQuBCwEKQQnBCQEIAQcBBgEFAQQBAsEBgQBA/sD9QPuA+cD3wPXA88DxgO9A7QDqgOgA5YDjAODA3kDcANoA2ADWANRA0wDRgNCAz8DPAM5AzgDNgM2AzUDNAM0AzMDMgMwAy8DLAMqAyYDIgMdAxkDEwMOAwgDAgL9AvcC8wLvAusC6ALnAuYC5gLnAuoC7QLxAvUC+gL/AwQDCgMOAxIDFgMYAxkDGAMWAxIDDQMFAvwC8ALjAtUCxQK0AqECjgJ7AmcCVAJBAi8CHQINAf8B8QHmAdwB1QHPAcsByAHHAcgByQHMAc8B0wHXAdsB3gHiAeQB5QHmAeUB4wHgAdsB1gHPAcgBvwG2Aa0BowGaAZABhwF/AXcBcAFrAWYBYgFgAV8BXwFgAWIBZQFpAW0BcgF3AXwBgQGGAYsBjwGTAZcBmQGcAZ0BnwGfAaABoAGgAaABnwGfAZ8BnwGfAaABoQGiAaMBpQGnAagBqgGsAa0BrgGvAa8BrwGuAa0BqgGoAaQBoAGcAZcBkQGMAYYBgQF7AXYBcQFtAWkBZQFiAV8BXQFbAVoBWAFXAVYBVgFVAVMBUgFQAU4BTAFJAUYBQwE/ATsBOAE0ATABLQEqAScBJQEjASIBIQEhASIBIwEkASUBJwEpASsBLAEuAS8BLwEwAS8BLwEuASwBKwEpASgBJwEmASYBJwEpASwBMAE1ATwBRQFPAVoBZwF0AYMBkgGiAbEBwQHQAd4B6gH2Af8CBwIMAhACEQIQAgwCBgH+AfUB6QHcAc4BwAGwAaEBkgGDAXUBaAFcAVEBRwE/ATkBNAEwAS4BLQEsASwBLQEvATABMQEyATMBMwEyATEBLwErASgBIwEeARkBEgEMAQYA/wD4APIA7ADnAOIA3gDbANgA1gDVANUA1QDWANgA2gDcAN8A4wDmAOoA7gDyAPYA+gD+AQIBBgEJAQ0BEAEUARcBGwEeASEBJAEnASoBLQEwATMBNgE4ATsBPQE/AUEBQwFEAUUBRgFHAUgBSAFJAUkBSQFIAUgBSAFIAUgBSAFIAUgBSAFJAUoBSwFNAU4BUAFSAVUBWAFbAV4BYgFlAWkBbAFwAXQBdwF7AX4BggGFAYcBigGMAY8BkQGSAZQBlQGXAZgBmQGaAZsBnAGdAZ4BoAGhAaMBpAGmAagBqgGsAa0BrwGxAbIBtAG1AbUBtgG2AbYBtQG0AbIBsQGvAawBqQGmAaMBoAGdAZoBlgGTAZABjgGLAYkBhwGFAYQBggGBAYEBgAGAAX8BfwF/AX8BfwF+AX4BfQF8AXsBegF5AXgBdgF0AXMBcQFwAW4BbQFrAWoBagFpAWkBaQFpAWoBawFsAW4BcAFyAXQBdgF5AXsBfgGAAYIBhAGFAYcBiAGIAYkBiQGJAYgBhwGGAYUBhAGCAYEBfwF+AXwBegF5AXgBdgF1AXQBcwFzAXIBcQFwAW8BbgFtAWwBagFoAWYBYwFgAVwBWQFUAVABTAFHAUIBPQE4ATIBLQEpASQBIAEbARgBFAERAQ4BCwEJAQcBBQEEAQMBAgEBAQAA/wD/AP4A/gD+AP4A/gD+AP4A/gD/AQABAQECAQQBBgEHAQoBDAEOAREBFAEXARkBHAEfASEBIwEmASgBKgEsAS0BLwEwATIBMwE1ATYBOAE5ATsBPQE/AUIBRAFHAUoBTQFRAVQBVwFbAV4BYgFlAWgBagFtAW8BcQFyAXQBdQF1AXYBdgF2AXUBdQF1AXUBdAF0AXQBdQF1AXYBdwF4AXkBewF9AX4BgAGCAYQBhgGHAYkBigGLAYsBiwGLAYoBiQGIAYYBhAGCAYABfgF8AXoBeQF3AXYBdgF2AXcBeQF7AX0BgQGFAYkBjgGUAZkBoAGmAa0BswG6AcABxwHNAdMB2QHfAeQB6QHvAfQB+QH+AgMCCAIOAhMCGgIgAicCLwI3AkACSQJTAl4CaQJ1AoICkAKeAq0CvALMAt0C7gL/AxEDIwM2A0gDWgNtA38DkQOiA7MDxAPTA+ID7wP8BAgEEwQcBCQELAQyBDgEPQRBBEUESQRMBE8EUwRXBFsEYARmBGwEdAR8BIQEjgSYBKMErgS6BMUE0QTcBOcE8QT8BQUFDgUWBR0FJAUqBTAFNgU7BUEFRwVOBVUFXgVnBXIFfQWKBZkFqAW5BcsF3gXxBgUGGgYuBkIGVgZpBnwGjQadBq0GuwbIBtQG3wbqBvQG/gcHBxEHGwcmBzIHPgdMB1sHawd8B44HoQe1B8gH3QfxCAQIFggoCDcIRQhQCFoIYAhkCGUIZAhgCFoIUghHCDsILgggCBIIAwf0B+YH2AfMB8AHtgetB6YHoAebB5cHkweRB44HjAeJB4YHggd9B3YHbwdlB1sHTgdABzEHIAcPBvwG6QbVBsIGrgabBokGeAZoBlkGTQZBBjgGMQYrBicGJQYlBicGKgYuBjQGOwZCBksGVAZeBmgGcwZ+BokGkwaeBqkGtAa+BskG0wbdBucG8Ab6BwMHDAcVBx4HJgcvBzcHPwdHB08HVwdfB2gHcQd6B4MHjQeYB6MHsAe9B8sH2gfrB/0IEAgkCDoIUAhpCIIInQi5CNcI9QkUCTQJVQl2CZcJuQnaCfwKHQo+Cl8KfgqdCrwK2Ar1Cw8LKQtBC1gLbguCC5YLqAu4C8gL1wvkC/EL/QwIDBIMGwwkDC0MNAw8DEIMSQxODFQMWQxeDGIMZQxpDGsMbgxvDHAMcQxxDHAMbwxtDGoMZwxkDF8MWwxVDE8MSQxCDDoMMgwpDCAMFwwNDAML+AvsC+EL1AvHC7oLrAueC48LfwtvC18LTgs9CywLGwsJCvcK5grVCsQKtQqlCpcKigp+CnQKbAplCmEKXgpeCmAKZAprCnMKfgqMCpsKrAq+CtMK6Ar/CxYLLgtGC18LdwuPC6YLvQvSC+cL+gwMDBwMKww4DEQMTgxWDFwMYAxjDGQMYwxgDFwMVQxODEQMOQwtDCAMEQwBC/EL4AvOC70LqwuaC4kLegtsC18LVAtLC0QLPws9Cz0LQAtEC0wLVQtgC20LfAuLC5sLrAu8C80L3QvsC/kMBgwRDEIMUwxhDGwMdQx7DH8MgQyADH4Mewx2DHAMagxlDF8MWQxVDFEMTgxMDEsMSwxLDE0MTwxRDFMMVgxYDFkMWwxbDFoMWAxWDFIMTQxHDEAMOAwwDCYMHQwTDAgL/gvzC+gL3gvUC8oLwAu2C60LpAubC5ILiQuAC3cLbgtlC1wLVAtKC0ELOAsvCyYLHQsVCwwLBAr8CvUK7QrmCuAK2QrTCs0KxwrBCrsKtQquCqcKoAqYCpAKhwp9CnIKZwpbCk4KQQoyCiQKFAoFCfUJ5QnVCcUJtQmlCZcJiAl6CW0JYQlVCUoJQAk2CS4JJgkeCRcJEAkKCQQI/Qj3CPAI6gjiCNsI0wjKCMEIuAiuCKQImQiOCIQIeAhuCGMIWAhOCEQIOwgyCCoIIwgcCBYIEAgMCAgIBAgCB/8H/gf8B/wH+wf7B/sH/Af9B/4H/wgACAEIAggCCAMIAwgDCAMIAggAB/4H+gf2B/EH6wfjB9sH0QfGB7oHrgegB5EHggdzB2MHUwdDBzMHJAcWBwgG+wbvBuQG2gbRBsoGwwa8BrcGsgauBqkGpQaiBp0GmQaVBpAGiwaFBn8GeQZyBmwGZgZfBlkGUwZNBkgGQwY/BjsGNwY0BjAGLQYpBiQGIAYaBhMGCwYCBfcF6wXdBc0FvAWqBZYFgQVrBVUFPgUmBQ8E+ATiBMwEuASkBJIEgQRxBGMEVgRLBEEEOAQwBCkEIgQdBBcEEwQOBAoEBQQBA/4D+gP2A/MD8APtA+sD6QPoA+cD5gPmA+YD5wPnA+gD6QPqA+oD6gPpA+gD5gPjA+AD2wPVA88DyAPAA7cDrgOkA5sDkQOHA30DdANsA2MDXANVA08DSgNFA0EDPQM6AzcDNQMzAzADLgMrAygDJQMiAx4DGgMWAxEDDAMHAwMC/gL5AvUC8gLvAu0C6wLrAusC7ALuAvAC9AL4AvwDAQMGAwwDEAMVAxkDHAMfAyADIAMeAxsDFgMQAwcC/gLyAuUC1wLIArcCpgKUAoICcAJeAk0CPAIsAh0CEAIEAfkB8AHpAeMB3gHbAdkB1wHXAdcB2AHYAdgB2AHYAdYB1AHRAcwBxgG/AbcBrQGiAZcBigF+AXABYgFUAUcBOgEtASIBFwENAQUA/gD4APQA8QDwAPAA8QDzAPYA+gD/AQQBCQEPARUBGwEhASYBKwEwATQBOAE8AT8BQgFEAUcBSQFLAU0BTwFQAVIBVAFWAVgBWQFbAV0BXgFfAWABYQFhAWABXwFdAVsBWAFVAVEBTQFIAUMBPgE5ATQBLwEqASYBIgEfARwBGgEYARYBFQEVARUBFAEUARQBFAEUARMBEgEQAQ4BDAEJAQYBAgD+APoA9gDyAO8A7ADpAOcA5QDlAOQA5QDmAOgA6wDuAPEA9QD5AP0BAAEDAQYBCAEKAQsBDAEMAQsBCgEJAQgBBwEGAQYBBgEHAQkBDAEQARYBHQElAS4BOAFDAU8BXAFpAXUBggGOAZkBowGsAbMBuAG7Ab0BvAG6AbUBrwGmAZ0BkgGGAXkBbAFfAVIBRQE5AS4BJAEbARMBDQEIAQUBAwECAQIBAwEEAQYBCAELAQ0BDgEQARABEAEPAQ0BCgEHAQIA/QD3APEA6wDkAN4A1wDRAMwAxgDCAL4AuwC4ALYAtQC0ALUAtQC3ALgAuwC9AL8AwgDFAMgAywDOANEA1QDYANsA3wDiAOYA6gDuAPEA9gD6AP4BAwEHAQwBEQEVARkBHgEhASUBKAEsAS4BMQEzATQBNgE3ATgBOAE4ATkBOQE5ATkBOQE5AToBOwE8AT0BPgFAAUIBRAFHAUoBTQFQAVMBVwFaAV4BYgFlAWkBbAFwAXMBdgF4AXsBfQF/AYEBgwGEAYUBhgGHAYgBiQGKAYsBjAGNAY4BjwGRAZIBlAGWAZgBmwGdAZ8BogGkAaYBqAGpAasBrAGsAawBrAGrAaoBqQGnAaQBogGfAZsBmAGVAZEBjQGKAYYBgwGAAX0BewF5AXYBdQFzAXIBcAFvAW4BbQFsAWsBawFpAWgBZwFlAWQBYgFgAV4BXAFaAVkBVwFVAVQBUgFSAVEBUAFQAVEBUQFSAVMBVAFWAVgBWgFcAV4BYQFjAWUBZwFpAWsBbAFtAW4BbwFvAW4BbgFtAWsBagFnAWUBYgFfAVwBWAFUAVEBTQFJAUUBQQE+AToBNwE0ATEBLwEsASoBKAEmASQBIgEgAR4BHQEbARkBFgEUAREBDgELAQgBBQECAP4A+wD3APQA8ADtAOoA5wDlAOIA4ADeAN0A2wDaANkA2QDYANgA2ADXANcA1wDXANYA1gDWANYA1gDWANYA1gDXANgA2ADaANsA3QDeAOEA4wDmAOgA6wDuAPEA9AD3APoA/QD/AQIBBAEGAQgBCgELAQ0BDgEPAREBEgETARQBFQEWARgBGQEaARwBHQEfASABIgEjASUBJgEnASgBKgEqASsBLAEsASwBLAEsASsBKwEqASoBKQEoAScBJgEmASUBJAEkASQBJAEkASQBJAElASYBJwEoASkBKgErASwBLQEuAS8BLwEvATABLwEvAS8BLgEtAS0BLAErASsBKwErASsBLAEtAS8BMgE1ATkBPQFCAUgBTgFUAVsBYwFqAXIBegGCAYkBkQGYAaABpwGuAbQBuwHBAcgBzgHUAdsB4QHoAe8B9wH+AgYCDwIYAiICLAI2AkECTQJYAmUCcQJ+AowCmQKnArUCxALSAuEC7wL+Aw0DGwMpAzcDRQNTA18DbAN3A4IDjQOWA58DpwOtA7QDuQO+A8MDxwPLA88D0wPXA9wD4QPnA+4D9gP/BAkEFAQgBC0EOwRKBFkEaQR5BIkEmQSoBLcExgTTBOAE7AT3BQIFCwUVBR0FJgUvBTcFQQVLBVYFYwVxBYAFkgWkBbkFzwXmBf8GGQY0BlAGawaHBqIGvQbWBu8HBgcbBy8HQAdQB18Hawd2B4AHiQeQB5gHnwemB6wHtAe8B8QHzQfXB+EH6wf2CAEIDAgXCCAIKQgwCDYIOgg8CDsIOQg0CCwIIwgXCAkH+gfpB9gHxgezB6AHjgd9B2wHXAdNB0AHNAcpByAHFwcQBwgHAQb6BvMG7AbjBtkGzgbCBrUGpgaVBoMGcAZcBkcGMgYdBggF8wXgBc0FvQWuBaEFlwWPBYoFiAWIBYoFjwWWBaAFqwW4BcYF1QXlBfYGBwYZBioGPAZNBl4GbgZ+Bo0GnAarBrkGxwbUBuIG7wb8BwkHFgcjBzAHPQdKB1cHZAdxB34HigeXB6QHsAe8B8kH1QfhB+4H+ggHCBUIIggxCD8ITwhgCHEIhAiYCKwIwwjaCPMJDQkpCUUJYwmCCaIJwwnkCgcKKQpMCm8Kkwq2CtgK+gscCz0LXQt8C5kLtgvRC+wMBAwcDDIMRgxZDGsMewyKDJgMpAyvDLoMwgzKDNEM1wzcDN8M4wzlDOYM5wzoDOcM5gzlDOMM4QzfDNwM2QzWDNIMzwzLDMgMxAzBDL0MuQy1DLEMrQypDKUMoAycDJYMkQyLDIQMfQx1DG0MZAxaDE8MQww3DCkMGwwMC/wL6wvaC8gLtgujC48LfAtoC1ULQgsvCx0LDAr8Cu0K3wrTCskKwAq6CrUKswqyCrQKuAq+CsYK0ArcCukK+AsICxkLKws+C1ILZgt6C44Lowu3C8sL3wvzDAYMGAwqDDsMTAxcDGoMeAyEDJAMmQyhDKcMqwytDKwMqQyjDJsMkAyDDHMMYAxMDDUMHQwEC+oL0Au3C54LhgtwC1wLSws+CzMLLAspCyoLLgs3C0ILUQtjC3cLjQukC7wL1QvtDAQMGwwvDEcMWgxrDHgMggyJDI0MjgyMDIgMggx7DHIMaQxgDFcMTgxGDD8MOQw0DDEMLwwuDC4MLwwwDDIMMww1DDYMNgw2DDQMMgwuDCkMIgwbDBIMCQv/C/QL6QveC9MLyAu9C7MLqguhC5oLkwuNC4gLhAuAC30Lewt6C3gLeAt3C3YLdgt1C3QLcwtyC3ALbgtrC2gLZQthC1wLVwtSC0wLRgs/CzgLMQspCyELGQsQCwcK/gr1CuwK4grZCs8KxQq7CrEKpwqcCpIKhwp8CnEKZQpaCk4KQwo3CisKHwoTCgcJ/AnwCeUJ2QnOCcMJuAmuCaMJmQmPCYYJfAlyCWgJXglUCUoJQAk1CSoJHwkUCQgI/AjwCOQI1wjLCL8IswinCJsIkAiFCHsIcQhoCF8IVghOCEYIPwg4CDEIKwgkCB4IGAgSCAwIBggAB/oH9AfvB+kH5AfeB9kH1AfQB8sHxgfBB70HuAezB60HqAehB5sHkweLB4IHeAduB2MHVwdLBz0HMAcjBxUHBwb5BuwG3wbSBsYGuwawBqYGnAaUBosGhAZ8BnUGbwZoBmIGXAZVBk8GSQZCBjwGNgYvBikGIwYdBhgGEwYPBgsGBwYEBgAF/gX7BfgF9QXyBe4F6QXjBdwF1AXLBcAFswWlBZYFhQVyBV8FSgU1BSAFCgT0BN4EyQS1BKEEjgR8BGwEXQRPBEIENgQrBCEEFwQOBAYD/gP2A+4D5gPeA9YDzgPGA78DuAOwA6oDpAOfA5oDlwOUA5IDkQORA5IDlAOWA5kDnAOfA6IDpAOnA6gDqQOpA6gDpgOjA58DmgOUA40DhgN+A3UDbQNkA1wDUwNLA0MDOwM0Ay0DJwMhAxsDFQMQAwoDBQMAAvsC9QLwAuoC5ALeAtgC0QLLAsUCvwK5ArMCrgKpAqUCoQKeApsCmgKYApgCmAKZApoCnAKfAqICpQKpAq0CsAK0ArgCuwK+AsACwgLDAsMCwgLAAr0CuQK0Aq4CpwKfApYCjAKBAnYCawJfAlQCSAI9AjICKAIeAhYCDgIGAgAB+wH2AfIB7gHrAegB5QHiAd8B2wHWAdEBywHDAbsBsQGmAZoBjQF/AXABYQFQAT8BLwEeAQ0A/QDtAN4A0ADDALcArACjAJsAlQCQAIwAigCJAIkAiwCNAJAAlACZAJ4AowCpAK8AtQC7AMAAxgDMANEA1gDbAOAA5ADoAOwA8AD0APgA+wD+AQEBBAEGAQgBCgELAQwBDAEMAQwBCgEJAQcBBAEBAP4A+gD3APMA8ADtAOoA5wDlAOQA4wDjAOMA5ADlAOcA6QDrAO4A8ADyAPMA9QD1APUA9QDzAPEA7gDrAOcA4gDdANgA0gDNAMgAwwC/ALsAuAC2ALUAtAC0ALUAtwC5ALsAvgDBAMQAxwDKAMwAzgDQANEA0gDTANMA0wDTANMA0wDTANQA1gDZANwA4ADmAO0A9AD9AQcBEQEcASgBNAE/AUsBVgFhAWsBcwF7AYABhAGGAYYBhQGBAXwBdQFtAWQBWQFNAUEBNQEoARwBEAEGAPsA8gDqAOQA3gDaANcA1gDWANYA1wDZANwA3gDhAOQA5gDoAOkA6gDqAOkA6ADmAOMA4ADcANgA1ADPAMsAxwDDAL8AvAC5ALYAtACzALIAsQCxALEAsQCxALIAsgCzALMAtAC0ALUAtgC2ALcAuAC5ALoAvAC+AMAAwwDHAMsAzwDTANgA3gDjAOkA7gD0APoA/wEFAQoBDgESARYBGgEdAR8BIQEjASUBJgEnASgBKAEpASoBKgErASwBLQEuATABMQEzATUBNwE6ATwBPwFCAUUBSAFLAU4BUQFTAVYBWQFcAV8BYgFkAWcBaQFrAW4BcAFyAXQBdgF4AXoBfAF+AYABggGEAYYBiAGKAY0BjwGSAZQBlgGZAZsBnAGeAZ8BoAGhAaEBoQGhAaABngGcAZoBlwGUAZEBjQGJAYUBgQF+AXoBdgFzAW8BbAFqAWcBZQFkAWIBYQFfAV4BXQFcAVsBWgFZAVgBVgFUAVMBUQFOAUwBSgFHAUUBQwFAAT4BPAE7ATkBOAE3ATcBNwE3ATcBNwE4ATkBOQE6ATsBPAE9AT0BPgE+AT4BPgE+AT0BPAE8AToBOQE4ATYBNAEyATABLgErASkBJgEjAR8BHAEYARUBEAEMAQgBBAD/APsA9gDyAO4A6gDmAOIA3gDbANgA1QDTANEAzwDNAMsAygDIAMcAxgDEAMMAwgDAAL8AvgC8ALsAuQC4ALYAtQCzALIAsQCwAK8ArgCtAK0ArACrAKsAqgCqAKkAqACoAKcApwCmAKYApQClAKUApgCmAKcAqACpAKsArQCvALIAtQC4ALsAvgDCAMYAygDNANEA1ADXANoA3QDgAOIA5ADmAOgA6QDqAOsA7ADsAO0A7QDtAOwA7ADrAOsA6gDpAOgA5wDmAOUA5ADjAOIA4QDhAOAA3wDfAN4A3gDdAN0A3QDdANwA3ADcANsA2wDaANkA2ADXANYA1QDUANMA0QDQAM8AzgDNAMwAzADLAMsAywDLAMwAzADNAM4AzwDQANEA0wDUANUA1wDZANsA3QDgAOMA5gDqAO4A8gD3AP0BAwEKAREBGQEhASoBMwE8AUUBTgFYAWEBawF0AX0BhgGPAZgBoAGpAbIBugHDAcsB1AHdAeYB7wH4AgICCwIVAh8CKQIzAj0CRwJRAlsCZQJvAngCggKLApQCnQKmAq8CuALBAsoC0wLcAuUC7gL3AwADCAMRAxkDIQMoAy8DNgM9A0MDSQNOA1QDWQNfA2UDawNyA3kDggOKA5QDnwOrA7gDxgPVA+UD9gQHBBkEKwQ9BE4EYARxBIEEkQSfBK0EugTGBNEE2wTlBO8E+QUDBQ4FGQUmBTMFQwVUBWYFewWSBasFxQXhBf4GHQY8BlwGfQadBrwG2gb3BxMHLAdDB1gHawd7B4gHlAecB6MHqAerB60HrgeuB64HrgetB64HrgevB7EHswe2B7oHvgfCB8YHygfOB9EH0wfUB9QH0wfQB8wHxge/B7YHrAehB5UHiAd6B2wHXgdQB0EHMwckBxYHCAb6BusG3QbOBr8GrwaeBowGegZmBlEGOwYkBgwF9AXbBcEFqAWQBXgFYQVMBTkFKAUaBQ4FBgUBBQAFAQUHBQ8FGwUqBTsFTwVlBXwFlQWwBcoF5QYABhsGNQZOBmcGfgaVBqoGvgbRBuMG9AcEBxMHIgcxBz8HTQdbB2kHdweFB5QHoweyB8EH0AfgB/AH/wgPCB8ILwg+CE4IXghtCH0IjAicCKwIvAjMCNwI7Qj/CREJJAk3CUwJYQl3CY8JpwnACdsJ9goSCi8KTQpsCowKrArMCu0LDgsvC08LcAuQC7ALzwvuDAsMKAxDDF0MdgyODKQMuQzMDN4M7gz9DQoNFQ0fDSgNLw01DTkNPA0+DT4NPg09DTsNOA01DTINLg0pDSUNIQ0dDRkNFQ0SDQ8NDQ0LDQkNCA0HDQcNBw0HDQcNBw0HDQYNBQ0EDQIM/wz8DPcM8gzsDOQM3AzSDMgMvQywDKMMlQyGDHcMZwxWDEUMNAwjDBEMAAvuC90LzAu7C6sLnAuOC4ALcwtoC14LVQtNC0gLQwtACz8LQAtBC0ULSQtPC1cLXwtoC3ILfQuJC5ULoQutC7oLxwvUC+IL8Av+DAwMGwwqDDkMSQxZDGkMeQyJDJkMqAy3DMQM0AzaDOEM5wzpDOgM5AzdDNIMwwyxDJwMhAxpDEwMLgwPC+8L0AuyC5YLfAtlC1ILQws4CzILMAszCzoLRgtVC2gLfguWC7ALywvlDAAMGgwxDFgMaAx2DIEMiAyMDI0MjAyHDIEMeAxuDGMMWAxNDEIMOAwvDCcMIQwcDBkMFwwWDBcMGQwcDB8MIgwlDCcMKQwqDCoMKgwnDCQMIAwaDBQMDAwEC/wL8wvrC+IL2gvSC8sLxQu/C7sLtwu0C7ILsQuwC7ALsQuyC7MLtAu2C7cLuQu6C7oLugu6C7kLuAu1C7ILrwuqC6ULnwuYC5ELiQuAC3cLbgtkC1oLUAtGCzwLMgsoCx8LFgsOCwYK/gr2CvAK6QriCtwK1grPCskKwgq7CrMKqwqiCpgKjgqDCngKbApfClIKRQo3CikKGwoNCf8J8gnkCdcJygm+CbIJpgmbCY8JhAl5CW4JYwlYCUwJQAk1CSgJHAkPCQII9QjoCNoIzQi/CLIIpAiXCIoIfQhwCGMIVghKCD0IMQgkCBgIDAgAB/QH6AfdB9EHxge7B7AHpgedB5QHiweDB3sHdAduB2gHYgddB1gHUwdOB0kHQwc9BzcHMAcpByAHFwcOBwQG+QbuBuIG1gbKBr4GsgamBpoGjwaEBnoGcAZmBl0GVAZMBkUGPQY2Bi4GJwYgBhkGEgYLBgQF/QX2Be8F6AXiBdwF1gXRBcwFxwXCBb4FugW3BbMFrwWqBaUFoAWZBZIFiQV/BXQFaAVaBUsFOwUpBRcFBATwBNwExwSzBJ8EjAR5BGcEVgRFBDYEKAQbBA4EAwP4A+4D5APaA9EDyAO+A7UDqwOhA5cDjQODA3kDbwNlA1wDUwNMA0UDPwM6AzYDMgMwAy8DLwMvAy8DMAMyAzMDNAM1AzUDNQM0AzMDMQMuAysDJgMiAx0DFwMSAwwDBgMAAvoC9ALuAugC4gLcAtcC0QLLAsQCvgK3Aq8CqAKgApcCjwKGAn0CdAJqAmECWQJQAkgCQAI5AjICLQInAiICHgIbAhgCFQITAhICEQIQAhACEAIQAhECEgITAhUCGAIaAh0CIQIlAikCLgIyAjcCPAJAAkUCSAJMAk8CUQJSAlICUgJQAk4CSwJHAkMCPgI5AjMCLgIoAiMCHgIZAhQCEAIMAgkCBQICAf8B/AH4AfQB7wHqAeQB3AHUAcoBvwG0AaYBmAGIAXgBZgFUAUIBLwEcAQkA9gDkANIAwQCxAKIAlACHAHsAcQBoAGEAWgBVAFEATwBNAE0ATQBOAFAAUwBWAFoAXgBiAGcAbABxAHYAfACBAIcAjACRAJYAnAChAKUAqgCuALIAtgC6ALwAvwDAAMIAwgDDAMIAwQDAAL4AvAC5ALcAtQCyALAArwCuAK4ArwCwALIAtQC5AL0AwgDHAM0A0wDZAN8A5ADpAO0A8ADyAPIA8gDxAO4A6gDmAOAA2QDTAMsAwwC7ALQArAClAJ8AmQCTAI8AiwCIAIUAgwCCAIEAgACAAIAAgACAAIEAgQCCAIIAgwCEAIUAhwCJAIsAjwCTAJcAnQCkAKwAtAC9AMgA0wDfAOsA9wEEAREBHQEqATUBQAFKAVIBWQFfAWQBZgFoAWcBZQFhAVsBVQFNAUMBOQEvASQBGAENAQEA9wDsAOMA2gDTAMwAxwDDAMAAvgC9AL0AvgDAAMIAxQDHAMoAzQDPANEA0gDTANQA1ADTANIA0QDPAMwAygDHAMUAwwDAAL4AvAC7ALkAuAC4ALcAtgC2ALUAtQC0ALMAsgCwAK8ArQCrAKgApgCkAKIAoACeAJ0AnACcAJwAnQCfAKIApQCoAK0AsQC3ALwAwgDIAM4A1ADaAN8A5QDqAO4A8gD2APoA/QEAAQIBBQEHAQkBCwEMAQ4BEAERARMBFQEWARgBGgEbAR0BHwEgASIBJAElAScBKQErAS4BMAEzATUBOAE7AT8BQgFGAUoBTwFTAVcBXAFgAWUBaQFuAXIBdgF6AX4BggGFAYkBjAGPAZEBlAGWAZgBmgGbAZwBnQGdAZ0BnQGcAZsBmQGXAZUBkgGPAYsBhwGDAX8BegF2AXEBbAFoAWQBXwFbAVgBVAFSAU8BTQFLAUkBSAFHAUYBRQFEAUMBQgFBAUABPwE+ATwBOwE5ATcBNQEzATEBLwEtASsBKgEoAScBJQEkASMBIgEiASEBIAEfAR4BHQEbARkBFwEVARIBDwEMAQgBBQEBAP4A+gD3APQA8QDuAOwA6gDoAOYA5QDkAOMA4gDiAOAA3wDeANwA2gDXANQA0QDNAMkAxADAALsAtgCwAKwApwCiAJ4AmgCWAJMAkQCPAI0AjACLAIoAigCKAIoAigCKAIoAigCKAIoAiQCJAIgAhwCGAIUAhACDAIIAgQCAAH4AfQB8AHsAegB5AHgAdwB2AHYAdQB1AHUAdQB1AHYAdwB4AHoAfAB+AIEAhACHAIoAjgCSAJYAmgCeAKIApQCpAKwArwCyALUAtwC5ALsAvAC9AL4AvwC/AL4AvgC9ALwAuwC5ALcAtQCyALAArQCqAKYAowCgAJwAmQCWAJMAkACNAIsAiQCIAIcAhgCGAIYAhgCGAIcAhwCIAIgAiQCJAIgAiACHAIYAhQCEAIIAgAB+AH0AewB5AHgAdwB2AHYAdwB3AHgAegB8AH4AgQCEAIgAiwCPAJMAlwCcAKEApgCrALAAtgC8AMMAygDSANoA4gDsAPUA/wEKARUBIAEsATgBRAFQAVwBaAF0AYABjAGYAaMBrgG6AcUBzwHaAeUB7wH5AgQCDgIXAiECKgIzAjsCQwJKAlECVwJdAmICZgJqAm4CcAJzAnYCeAJ6AnwCfwKCAoUCiQKNApICmAKeAqQCqwKzArsCwwLLAtQC3QLnAvAC+QMDAw0DFwMhAywDNwNCA04DWgNnA3UDgwOSA6EDsQPBA9ID4gPyBAMEEwQiBDEEPwRMBFgEYwRuBHcEgASIBJAElwSeBKYErgS3BMAEywTYBOYE9gUIBR0FMwVLBWUFgAWdBbwF2wX7BhoGOgZZBncGlAavBsgG3wbzBwUHEwcgBykHLwczBzUHNAcyBy8HKgclBx8HGQcUBxAHDAcKBwkHCQcLBw8HFQcbByMHLAc3B0EHTAdXB2IHbAd1B30HgweIB4wHjQeMB4oHhQd+B3QHaQdcB0wHOwcoBxMG/QbmBswGsgaWBnoGXAY+BiAGAQXhBcIFowWFBWcFSwUwBRYE/wTqBNcExwS7BLIErASqBKsEsAS4BMUE1ATnBP0FFQUwBU0FawWLBawFzgXwBhIGMwZUBnQGkwaxBs0G6AcCBxoHMQdHB1sHbgeAB5IHogeyB8EH0AffB+4H/QgLCBoIKQg4CEcIVwhmCHYIhgiXCKcItwjICNkI6gj7CQwJHQkuCT8JUQljCXUJhwmZCawJvwnTCecJ+woQCiYKPApTCmoKggqbCrQKzgrpCwQLIAs8C1gLdQuSC7ALzQvqDAcMIww/DFsMdgyPDKgMwAzWDOsM/g0QDSANLw08DUcNUA1YDV4NYw1mDWgNaA1nDWYNYw1gDVwNWA1TDU8NSg1GDUINPw09DTsNOg05DToNOw09DT8NQg1FDUkNTA1PDVINVQ1WDVcNVg1VDVINTg1IDUENOA0uDSMNFw0KDPwM7gzfDM8MwAywDKEMkQyDDHQMZgxZDEwMQAw0DCkMHgwUDAsMAQv5C/EL6QviC9sL1QvQC8wLyAvGC8QLwwvDC8QLxQvIC8sLzwvUC9kL3gvkC+kL7wv0C/oMAAwFDAsMEAwWDB0MIwwrDDMMPAxGDFEMXQxqDHcMhgyUDKMMsQy/DMwM1wzhDOcM6wzsDOoM5AzaDM0MvAyoDJEMeAxdDEAMIwwGC+oLzwu3C6ELjwuAC3YLcAtvC3ILeguFC5QLpwu7C9IL6QwBDBkMLwxFDKIMsAy7DMQMygzNDM4MzAzIDMEMugyxDKcMnQyTDIkMgAx4DHAMagxmDGIMYAxfDF8MYAxhDGIMZAxmDGcMaAxoDGgMZwxlDGMMYAxcDFgMVAxQDEsMRwxDDD8MPAw4DDYMNAwyDDAMLgwtDCwMKwwqDCgMJgwkDCIMHwwbDBcMEwwNDAgMAgv7C/QL7AvkC9wL0wvKC8ALtgusC6ELlwuMC4ALdQtqC14LUwtICz4LMwspCyALFwsPCwcLAAr5CvMK7QroCuIK3QrYCtMKzQrHCsAKuAqwCqcKnQqRCoUKeApqClwKTAo9Ci0KHQoNCf4J7gngCdEJxAm3CasJnwmUCYoJfwl2CWwJYwlZCU8JRQk7CTAJJAkYCQwI/gjwCOII0wjDCLQIowiTCIMIcghiCFEIQQgwCCAIEAgBB/EH4gfUB8UHtweqB50HkQeFB3oHbwdlB1wHUwdMB0QHPgc4BzIHLgcpByQHHwcbBxYHEAcKBwQG/Qb2Bu0G5AbaBs8GxAa5Bq0GoAaTBocGegZuBmIGVgZKBj8GNQYrBiEGGAYQBgcF/wX3BfAF6AXgBdgF0AXIBcAFuAWvBacFnwWWBY4FhwV/BXgFcQVqBWQFXgVYBVIFTAVHBUAFOgUzBSsFIwUZBQ8FBAT3BOoE2wTLBLsEqgSYBIYEcwRhBE4EPAQqBBkECAP4A+kD2gPMA78DswOnA5sDkAOGA3sDcANmA1sDUANFAzoDMAMlAxoDEAMGAvwC8wLrAuMC3QLXAtICzgLKAsgCxgLFAsMCwwLCAsECwQLAAr8CvQK7ArgCtgKyAq8CqwKnAqMCnwKaApYCkgKNAokChQKAAnwCdwJxAmwCZQJeAlYCTgJFAjsCMAIlAhkCDQIBAfUB6QHdAdIByAG+AbUBrQGmAaABmwGXAZMBkQGOAYwBiwGKAYkBiAGHAYYBhQGEAYQBhAGEAYUBhwGKAY4BkwGYAZ8BpwGwAbkBxAHOAdkB5AHvAfkCAgILAhICGAIdAiECIwIkAiMCIgIgAh4CGwIXAhQCEQIOAgsCCQIHAgYCBQIFAgQCBAIDAgICAQH+AfsB9gHwAekB4AHWAcoBvQGuAZ4BjQF7AWgBVQFBAS4BGgEHAPQA4QDPAL4ArgCfAJIAhQB5AG4AZQBdAFUATwBKAEUAQgA/AD0APAA7ADsAPAA9AD8AQQBEAEgASwBQAFQAWQBfAGQAagBwAHYAfACCAIgAjQCSAJcAmwCeAKAAoQCiAKEAoACfAJwAmQCWAJIAjwCMAIkAhwCGAIUAhgCIAIsAjwCUAJoAoQCoALAAuADAAMgAzwDVANsA3wDiAOMA5ADiAOAA3ADXANAAyQDBALkAsACoAJ8AlgCOAIYAfwB4AHEAawBmAGAAXABYAFMAUABMAEkARgBDAEEAPwA+AD0APQA+AEAAQwBGAEsAUgBZAGEAawB1AIEAjQCaAKgAtgDDANEA3wDsAPkBBQEQARoBIwErATIBOAE8AT4BQAFAAT8BPQE5ATUBLwEpASIBGgESAQoBAQD4APAA5wDfANgA0QDLAMYAwQC9ALsAuQC4ALcAuAC5ALoAuwC9AL8AwADCAMMAxADEAMQAwwDCAMEAvwC9ALoAuAC2ALQAsgCwAK8ArgCtAK0ArQCuAK4ArwCvALAAsACwAK8ArgCtAKsAqAClAKIAngCaAJcAkwCPAIwAiQCHAIUAhACDAIQAhQCHAIkAjQCQAJQAmQCeAKMApwCsALEAtgC6AL8AwwDHAMsAzgDSANUA2QDcAN8A4wDmAOkA7QDwAPMA9gD4APsA/QEAAQEBAwEEAQYBBwEIAQkBCgEMAQ0BDwERARQBFwEbAR8BJAEpAS8BNQE7AUIBSQFQAVcBXQFkAWoBcAF2AXsBgAGEAYgBjAGPAZEBkwGVAZYBlwGXAZcBlwGXAZYBlQGTAZIBkAGNAYoBhwGEAYABfAF4AXMBbgFpAWQBXwFaAVUBUAFLAUcBQwFAAT0BOgE4ATYBNAEzATIBMgEyATEBMQExATEBMQEwATABLwEuAS0BKwEpASgBJgEkASIBHwEdARsBGQEXARUBEgEQAQ0BCwEIAQUBAQD+APkA9QDwAOsA5QDfANkA0wDNAMcAwgC8ALgAswCvAK0AqgCpAKgApwCnAKgAqQCqAKsArACtAK0ArQCsAKsAqACmAKIAngCaAJUAjwCKAIUAfwB6AHUAcQBtAGkAZwBlAGMAYgBiAGIAYwBjAGQAZQBmAGcAaABoAGgAaABoAGgAZwBmAGUAZABiAGEAXwBeAF0AWwBaAFgAVwBWAFUAVABTAFMAUgBSAFIAUwBTAFQAVQBXAFkAWwBdAGAAYwBmAGkAbABvAHMAdgB5AHsAfgCAAIEAgwCEAIQAhACEAIQAgwCCAIAAfwB9AHsAeQB3AHQAcQBvAGsAaABkAGAAXABYAFMATwBKAEUAQAA7ADcAMgAuACoAJwAkACIAIAAfAB4AHQAdAB4AHwAfACAAIQAiACMAJAAlACUAJgAmACYAJwAoACgAKQArACwALgAxADQANwA7AEAARQBKAFAAVQBbAGIAaABuAHUAewCCAIkAkACXAJ8ApgCvALgAwQDLANYA4gDuAPoBCAEWASQBMwFCAVEBYAFvAX8BjgGcAasBuQHGAdMB4AHsAfgCAwIOAhgCIgIrAjQCPAJEAkoCUAJVAlkCXQJfAmACYAJfAl4CWwJZAlUCUQJNAkkCRQJBAj4CPAI6AjoCOgI8Aj8CQwJIAk8CVgJfAmgCcgJ+AokClgKjArECvwLOAt0C7AL8Aw0DHgMvA0EDVANmA3kDjAOfA7IDxAPWA+gD+AQHBBUEIgQtBDcEPwRGBEsETwRRBFIEUwRTBFMEUwRUBFYEWARcBGIEaQRzBH8EjQSdBLAExATbBPMFDQUoBUQFYQV+BZoFtgXSBesGBAYaBi8GQQZRBl4GaQZxBncGewZ8BnwGegZ3BnMGbgZpBmUGYQZdBlsGWwZcBl8GZQZsBnYGgwaRBqIGtAbHBtwG8QcGBxsHMAdCB1QHYwdvB3kHfweCB4AHewdyB2UHVAc/ByYHCgbrBsoGpgaABlkGMQYJBeAFuAWQBWoFRgUkBQQE5gTLBLQEnwSOBIAEdgRwBG0EbQRxBHgEggSPBJ8EsgTHBN4E9wUSBS4FTAVrBYsFrAXNBe8GEQYyBlQGdgaXBrcG1wb3BxYHMwdQB2wHiAeiB7sH0wfrCAEIFggrCD8IUghkCHUIhgiXCKcItgjGCNUI5AjzCQIJEQkhCTAJQAlQCWAJcQmCCZMJpAm2CcgJ2gnsCf8KEQokCjcKSgpdCnAKhAqXCqsKvgrSCucK+wsRCyYLPAtSC2kLgAuYC7ALyQviC/sMFAwuDEgMYQx6DJMMqwzCDNkM7g0DDRUNJw03DUUNUg1dDWcNbg11DXkNfQ1/DYANgA1/DX0New15DXYNdA1xDXANbg1uDW4Nbw1xDXQNdw17DYANhg2MDZINmA2eDaMNpw2rDa0Nrg2tDaoNpg2fDZYNjA1/DXENYQ1QDT0NKQ0VDQEM7QzZDMYMtAyjDJQMhQx5DG4MZAxcDFYMUAxMDEkMRgxDDEEMPww9DDoMNww0DDEMLQwpDCUMIQwdDBoMFwwUDBIMEQwRDBIMEwwUDBcMGgwdDCAMIwwmDCgMKwwtDC4MLwwwDDEMMgwzDDQMNww6DD4MRAxLDFMMXQxoDHQMgQyPDJ4MrAy6DMYM0QzaDOEM5QzmDOQM3wzWDMsMvAysDJkMhAxvDFoMRQwxDB4MDgwBC/cL8QvtC+4L8gv6DAUMEwwjDDUMRwxbDG4MgQyTDRQNIg0uDTgNQA1GDUoNTA1NDUsNSA1EDT8NOQ0zDSwNJg0gDRkNFA0ODQkNBA0ADPwM+Az0DPEM7QzpDOUM4QzeDNoM1gzSDM8MzAzJDMcMxQzFDMQMxAzFDMYMxwzJDMoMzAzMDM0MzQzMDMkMxgzBDLwMtAyrDKEMlgyJDHwMbQxeDE4MPgwuDB0MDQv8C+wL3QvOC78LsAuiC5ULiAt7C28LYwtXC0wLQAs1CyoLIAsVCwsLAQr3Cu4K5QrcCtQKzArECrwKtQqtCqYKngqWCo0KhQp7CnEKZgpbCk8KQgo0CiYKGAoJCfoJ6wncCc0JvwmxCaQJlwmLCYAJdglsCWIJWQlRCUgJQAk3CS4JJQkbCREJBgj6CO0I4AjRCMIIswiiCJEIgAhuCFwISgg4CCYIFAgCB/EH4AfQB8AHsQejB5UHiAd8B3EHZgdcB1MHSwdEBz0HNwcxBywHJwciBx4HGQcUBw8HCQcDBvwG9QbsBuMG2QbNBsEGtQanBpkGigZ7BmwGXAZNBj4GLgYgBhIGBAX3BesF3wXUBckFvwW1BawFowWaBZIFiQWABXcFbgVlBVwFUwVJBUAFNgUtBSMFGgUQBQcE/gT2BO4E5gTeBNcE0ATJBMIEuwS0BKwEpAScBJMEiQR/BHQEZwRbBE0EPwQwBCAEEAQAA+8D3wPOA70DrQOdA40DfgNuA2ADUgNEAzcDKQMdAxADBAL3AusC3wLUAsgCvQKyAqgCngKUAowChAJ9AncCcQJtAmkCZwJlAmQCYwJjAmMCZAJkAmUCZQJlAmQCYwJiAmACXQJbAlcCVAJQAksCRwJCAj0COAIzAi0CKAIhAhsCEwIMAgMB+QHvAeQB2AHLAb0BrwGgAZEBggFyAWQBVgFJATwBMgEoASABGQEUARABDgEMAQwBDAENAQ8BEAESARMBFAEVARYBFwEXARgBGQEbAR0BIAEkASkBLwE4AUEBTAFYAWUBcwGBAZABnwGtAbsBxwHSAdwB5AHqAe4B8QHxAfEB7wHsAegB5AHgAdsB2AHVAdMB0gHSAdMB1QHXAdoB3gHhAeQB5wHpAeoB6QHnAeMB3gHXAc0BwwG2AagBmQGJAXcBZQFTAUABLgEbAQkA9wDmANYAxgC3AKoAnQCRAIYAewByAGkAYgBaAFQATgBJAEQAQAA8ADkANwA1ADQAMwAzADQANgA4ADwAQABFAEsAUgBZAGEAaQBxAHoAggCJAJEAlwCcAKAAowCkAKQAowCgAJwAlwCRAIsAhAB9AHcAcQBsAGgAZQBkAGMAZQBoAGwAcQB4AH8AhgCOAJYAnQCkAKoArgCyALQAtQC1ALMAsACsAKcAogCcAJUAjwCIAIEAewB1AG8AagBkAF8AWwBWAFEATQBIAEMAPgA5ADQAMAArACcAIwAgAB4AHAAcAB0AHwAjACgALgA2AD8ASABTAF8AawB4AIUAkQCeAKoAtgDAAMoA1ADcAOMA6QDvAPMA9gD5APsA/AD8APwA+wD6APgA9gDzAO8A7ADoAOQA3wDbANYA0gDNAMkAxQDBAL4AuwC5ALcAtgC1ALQAtAC1ALUAtgC2ALcAtwC3ALYAtQC0ALEArwCsAKkApQCiAJ4AmgCXAJQAkgCRAJAAjwCQAJEAkwCVAJgAmwCeAKEApACmAKgAqQCpAKkAqACmAKMAoACcAJgAkwCPAIoAhgCCAH8AfQB7AHkAeQB5AHoAewB9AH8AggCFAIgAiwCOAJEAlACXAJoAnQCgAKMApgCqAK0AsQC1ALkAvgDCAMcAzADRANYA2wDfAOMA5wDqAOwA7gDwAPEA8gDzAPMA9AD0APUA9gD4APoA/QEAAQQBCQEPARUBHAEjASoBMgE6AUIBSgFSAVkBYAFmAWwBcQF1AXkBfQGAAYIBhAGFAYYBhwGHAYgBiAGHAYcBhgGGAYQBgwGBAX8BfQF6AXcBcwFvAWsBZgFhAVwBVwFSAU0BSAFDAT8BOwE3ATQBMgEwAS4BLQEtAS0BLQEuAS8BMAExATIBMwE0ATQBMwEyATEBLwEtASoBJgEiAR4BGgEVARABDAEHAQIA/gD5APQA8ADsAOcA4wDeANoA1QDQAMoAxQC/ALkAsgCsAKUAnwCZAJMAjgCJAIUAggB/AH0AfAB7AHsAewB8AH0AfgB/AH8AgAB/AH8AfQB8AHkAdgByAG4AagBlAGEAXABYAFQAUQBOAEwASwBKAEkASgBKAEsATQBOAFAAUQBTAFQAVQBVAFYAVQBVAFQAUwBRAFAATgBMAEsASQBHAEUARABCAEEAPwA+AD0AOwA6ADkAOAA3ADYANQA0ADQAMwAzADQANAA1ADYANwA4ADkAOwA8AD4APwBAAEAAQABAAEAAPwA9ADsAOQA2ADMAMAAsACkAJQAiAB4AGgAXABMAEAANAAkABgAD////+//3//P/7//q/+X/4f/c/9f/0v/O/8n/xf/B/73/uv+4/7X/tP+y/7H/sf+x/7H/sv+z/7X/tv+5/7v/vv/B/8X/yf/O/9P/2f/g/+f/7//3//8ACAASABsAJQAvADgAQgBLAFQAXQBmAG8AdwB/AIgAkACZAKMArQC3AMMAzwDcAOoA+AEIARgBKQE7AU0BXwFxAYMBlQGmAbcBxwHXAeUB8wH/AgsCFgIgAikCMQI4Aj4CRAJIAkwCTwJRAlICUgJRAk4CSwJHAkECOwI0AiwCJAIbAhICCgIBAfkB8gHsAecB4wHgAeAB4AHiAeYB6gHxAfgCAQILAhUCIQItAjoCSAJXAmYCdgKHApkCrAK/AtQC6gMBAxkDMgNLA2UDfwOZA7MDzAPkA/sEEAQiBDMEQARLBFMEWQRbBFsEWARTBE0ERAQ7BDIEKAQfBBcEEQQMBAkECQQLBBAEGAQiBC8EPgRQBGMEeASPBKcEvwTYBPAFCQUhBTgFTgVjBXcFiQWaBakFtwXDBc4F1wXfBeYF6wXwBfQF+AX8Bf8GBAYIBg4GFAYcBiYGMAY9BksGWgZsBn4GkQalBroGzgbiBvQHBQcUByEHKgcvBzEHLgcnBxsHCgb1BtsGvQabBnUGTAYhBfQFxgWXBWkFOwUPBOUEvgSZBHkEXAREBDEEIQQXBBEEDwQSBBgEIgQwBEAEUwRpBIAEmQSyBM0E6AUEBSAFPAVYBXMFjwWrBcYF4gX+BhsGNwZUBnIGkAavBs4G7gcOBy4HTwdwB5EHsQfRB/EIEAguCEsIZwiBCJsIswjKCOAI9QkICRsJLQk+CU4JXgluCX0JjQmcCawJvAnMCdwJ7Qn+Cg8KIQoyCkQKVwppCnsKjgqgCrMKxQrXCuoK/AsOCyALMgtDC1ULZwt6C4wLnwuyC8UL2QvtDAEMFgwrDEAMVgxsDIEMlwysDMIM1gzqDP0NDw0hDTENQA1NDVkNZA1uDXcNfg2EDYkNjg2RDZQNlw2ZDZsNnQ2fDaINpQ2oDawNsQ22Db0Nww3LDdIN2g3jDesN8w37DgMOCQ4ODhIOFA4VDhMOEA4KDgEN9g3oDdkNxg2yDZwNhA1rDVINNw0dDQQM6wzTDL0MqgyYDIgMfAxyDGoMZQxiDGEMYQxjDGYMaQxtDHAMcwx1DHUMdQxzDHAMbAxnDGEMWgxTDEwMRQw+DDgMMwwuDCwMKgwqDCoMLAwvDDIMNQw5DD0MQAxDDEYMRwxIDEkMSAxIDEcMRwxHDEcMSQxMDFAMVgxeDGcMcwx/DI0MnAysDLwMzAzaDOgM9Az+DQYNCw0NDQ0NCQ0DDPsM8AzkDNcMyQy7DK4MogyXDI4MiAyEDIMMhQyKDJEMmwynDLUMxAzUDOUM9Q0FDWMNcQ1/DYsNlg2gDakNsA22DboNvQ2/DcANvw2+DbsNuQ21DbANrA2mDaANmg2UDY0NhQ1+DXYNbg1nDV8NWA1SDUsNRg1BDT4NOw05DTkNOQ07DT0NQA1DDUcNSw1ODVENUw1UDVQNUg1PDUkNQg05DS0NHw0QDP4M6wzWDMEMqgySDHsMYwxLDDQMHQwHC/IL3wvMC7oLqgubC40LgAt0C2gLXQtSC0gLPQszCygLHgsTCwgK/ArxCuUK2QrNCsEKtQqpCp0KkgqGCnsKbwpkClkKTgpDCjkKLgoiChcKCwoACfQJ6AncCdAJxAm3CasJoAmUCYkJfglzCWkJXwlWCUwJQwk5CTAJJgkdCRMJCAj9CPII5gjZCMsIvQiuCJ8Ijgh9CGwIWghICDYIIwgRB/4H7AfaB8gHtwemB5YHhwd4B2sHXgdTB0gHPwc2By8HKAciBxwHGAcTBw4HCgcFBwAG+wb1Bu4G5gbdBtMGyAa8Bq4GoAaRBoEGcQZfBk4GPAYqBhgGBwX1BeQF1AXEBbQFpgWYBYoFfQVxBWUFWQVOBUQFOgUvBSYFHAUSBQkFAAT2BO0E4wTaBNEExwS+BLUEqwSiBJgEjwSGBH0EdARrBGIEWQRRBEgEPwQ3BC4EJQQdBBQECwQBA/cD7QPiA9cDzAPAA7MDpgOZA4sDfQNuA18DUANBAzIDIwMUAwUC9gLoAtkCywK9Aq4CoQKTAoYCeQJsAl8CVAJIAj4CNAIqAiICGwIUAg8CCwIIAgYCBgIGAgcCCQILAg4CEQIUAhcCGgIcAh4CHwIfAh8CHQIbAhgCFAIPAgoCBAH9AfUB7QHlAdwB0gHJAb4BswGnAZoBjQF/AXABYQFRAUEBMAEfAQ4A/gDuAN4A0ADDALgArgClAJ8AmgCXAJYAlgCYAJsAnwCkAKkArgC0ALkAvQDCAMYAyQDMAM8A0wDWANkA3gDjAOoA8QD6AQQBDwEcASkBNwFGAVQBYwFwAX0BiAGSAZoBoAGkAaYBpQGkAaABnAGWAZEBigGFAX8BewF4AXYBdQF2AXgBfAGAAYYBiwGRAZcBnQGhAaQBpwGnAaYBowGeAZcBjwGFAXoBbQFfAVABQAEwASABEAEAAPAA4ADRAMIAtACnAJsAjwCEAHkAcABnAF4AVgBPAEgAQQA7ADUAMAArACYAIgAeABsAGAAWABUAFAAVABcAGgAeACMAKQAxADkAQgBLAFYAYABpAHMAewCDAIkAjgCRAJIAkQCOAIoAhAB9AHQAbABiAFkAUABIAEEAOwA3ADQAMwAzADYAOQA+AEQASgBRAFgAXwBlAGoAbwByAHQAdgB2AHUAcwBwAG0AaQBlAGEAXQBaAFYAUwBRAE4ATABKAEgARgBEAEIAPwA8ADkANQAxACwAKAAjAB8AGwAXABQAEQAQABAAEQASABUAGQAfACUALAAzADsAQwBMAFUAXQBlAG0AdQB8AIIAiACOAJMAlwCbAJ8AowCmAKoArQCwALIAtQC4ALoAvAC9AL4AvwDAAMAAwAC/AL4AvQC8ALoAuQC4ALcAtgC1ALUAtQC2ALYAuAC5ALoAuwC8AL0AvQC8ALsAugC3ALQAsACsAKcAoQCcAJYAkQCMAIgAhACBAH8AfgB+AH8AgQCEAIcAiwCPAJMAlwCaAJ0AnwChAKEAoQCfAJ0AmgCWAJIAjQCIAIMAfwB6AHcAcwBxAG8AbgBtAG4AbgBvAHEAcgB0AHYAeAB5AHsAfAB+AH8AgQCDAIUAhwCKAI0AkQCVAJoAoACmAKwAsgC5AL8AxQDLANAA1QDZANwA3gDgAOAA4QDgAOAA3wDfAN4A3gDfAOAA4gDlAOkA7gDzAPoBAQEJARIBGwEkAS0BNgE+AUcBTwFWAV0BYwFpAW4BcgF2AXkBfAF+AYABggGDAYQBhQGGAYYBhgGFAYQBgwGBAX8BfQF6AXYBcgFtAWgBYwFeAVgBUgFMAUcBQQE8ATgBNAEwAS0BKwEqASkBKQEqASsBLQEvATIBNAE3ATkBOwE8AT0BPQE8AToBNwEzAS8BKQEiARsBEwELAQMA+gDyAOkA4gDaANMAzQDHAMIAvQC5ALQAsACtAKkApQChAJwAlwCSAI0AhwCCAHwAdgBwAGsAZgBhAF0AWQBXAFQAUgBRAFAAUABPAE8ATgBOAE0ATABLAEkARwBFAEMAQAA9ADsAOAA2ADUAMwAzADIAMwA0ADUANwA4ADsAPQA/AEAAQgBDAEMAQwBDAEIAQAA+ADwAOQA3ADQAMQAuACwAKQAnACUAIgAgAB4AHAAaABgAFgAUABEADwAMAAkABgADAAD//v/7//n/9//1//T/8//y//L/8v/y//L/8v/x//H/8P/v/+3/6//o/+X/4f/d/9j/0//O/8n/w/++/7n/tP+v/6v/p/+j/5//nP+Z/5b/k/+R/47/jP+J/4f/hP+C/3//fP95/3b/dP9x/27/a/9p/2b/ZP9i/2D/X/9e/13/Xf9e/17/YP9i/2b/av9v/3X/e/+D/4z/lv+h/63/uf/G/9P/4f/v//0ACgAYACUAMgA+AEoAVQBgAGsAdQCAAIsAlgChAK0AugDIANcA5wD3AQkBHAEvAUMBWAFsAYEBlQGoAbsBzQHdAewB+gIGAhECGwIiAikCLQIxAjQCNQI1AjUCMwIxAi0CKQIjAh0CFgIOAgYB/AHxAeYB2wHPAcMBtwGrAaABlgGNAYUBfgF5AXYBdQF1AXcBewGBAYcBjwGZAaIBrQG4AcQB0AHcAegB9QICAhACHwIuAj8CUgJmAnwClAKuAsoC6AMIAykDSwNuA5EDswPVA/UEEwQuBEYEWgRrBHcEfwSDBIIEfgR2BGoEXARMBDoEKAQUBAID8APgA9IDxgO8A7YDsgOxA7QDuQPBA8wD2QPpA/oEDQQhBDcETQRlBH0ElQSuBMcE4QT6BRMFLAVEBVwFcwWKBaAFtAXIBdsF7AX9BgwGGgYnBjQGPwZKBlQGXgZnBnAGeQaBBokGkAaXBpwGoQakBqUGpAagBpoGkAaDBnMGXgZGBioGCwXoBcMFmgVvBUMFFgTpBLsEjwRlBD0EGAP2A9kDwAOrA5wDkgONA40DkgOcA6oDvAPSA+oEBgQjBEIEYgSDBKMExATkBQMFIgU/BVsFdgWQBakFwgXaBfIGCgYiBjsGVAZvBooGpwbFBuQHBAcmB0gHaweOB7EH1Qf4CBsIPQheCH4InQi6CNYI8QkKCSIJOQlOCWMJdwmKCZwJrwnACdIJ4wn1CgYKFwopCjoKTApdCm8KgQqTCqUKtgrICtoK7Ar9Cw8LIAsyC0MLVAtmC3cLiAuaC6sLvAvOC98L8QwCDBQMJgw4DEoMXAxuDIAMkgyjDLUMxgzXDOgM+A0HDRYNJA0xDT4NSg1VDV8NaA1xDXoNgg2JDZANlw2fDaYNrQ21Db0Nxg3PDdgN4g3sDfcOAQ4MDhcOIg4tDjgOQg5LDlMOWw5hDmYOaQ5qDmoOaA5jDl0OVA5JDjsOKw4ZDgQN7g3WDbwNog2GDWoNTg0yDRcM/QzlDM8MuwyqDJsMjwyGDIEMfQx8DH4MgQyFDIsMkAyWDJwMoAykDKYMpgykDKEMmwyUDIwMggx4DG0MYgxXDE0MRAw8DDYMMQwuDC0MLQwuDDEMNQw6DD8MRAxJDE0MUQxUDFYMWAxZDFkMWQxZDFoMWwxdDGAMZQxrDHQMfgyKDJcMpgy3DMgM2gzsDP0NDg0dDSoNNg0/DUUNSQ1KDUgNRQ0/DTcNLg0lDRsNEQ0IDQAM+Qz0DPEM8QzzDPcM/Q0FDRANHA0pDTcNRQ1UDWQNcA18DYcNkw2dDacNsA24Db8Nxg3LDdAN1A3WDdgN2g3aDdoN2A3XDdQN0Q3NDcgNww2+DbkNsw2tDagNow2eDZoNlw2UDZMNkg2SDZMNlA2WDZgNmw2dDZ8NoQ2iDaINoA2dDZkNkg2KDYANcw1lDVUNQg0vDRkNAwzrDNIMuQyfDIYMbQxUDDwMJQwPC/oL5wvVC8QLtQunC5sLjwuFC3sLcgtpC2ALWAtPC0ULOwsxCyULGgsNCv8K8QriCtMKwwqzCqMKkwqDCnMKZApVCkcKOQorCh4KEQoFCfoJ7gnjCdgJzgnECbkJrwmlCZsJkgmICX4JdAlqCWAJVglMCUEJNwksCSEJFQkJCP0I8AjjCNUIxwi5CKoImwiLCHsIaghZCEgINggkCBIIAAftB9sHyAe1B6MHkQd/B20HXQdNBz0HLwciBxYHCgcABvcG7wbnBuAG2gbUBs4GyAbCBrsGtAasBqMGmQaOBoIGdQZnBlgGSAY4BicGFgYFBfQF4wXSBcIFsgWiBZMFhAV1BWcFWQVMBT8FMQUkBRgFCwT+BPIE5wTbBNAExQS7BLEEpwSfBJYEjgSHBIAEeARyBGsEYwRcBFQETAREBDoEMQQnBBwEEQQGA/sD7wPjA9cDywPAA7QDqQOeA5MDiAN9A3MDaANdA1MDSAM8AzEDJQMZAwwDAALzAuUC1wLKArsCrQKfApECggJ0AmYCWAJKAjwCLgIhAhQCBwH7AfAB5QHbAdIByQHCAbwBuAG0AbIBsQGxAbIBtQG4AbsBvwHDAcgBzAHPAdIB1AHWAdYB1AHSAc8BygHEAb0BtQGsAaIBlwGMAYEBdQFoAVwBTwFBATQBJgEYAQkA+wDsAN0AzgC/ALEAogCVAIgAewBwAGcAXgBYAFMAUABOAE4AUABUAFgAXgBlAGwAcwB7AIIAigCQAJcAnAChAKYAqgCuALIAtwC7AMAAxgDMANMA2wDkAO0A9wEBAQwBFgEfASgBMAE2ATsBPwFBAUEBQAE+AToBNgEyAS0BKAEkASABHQEcARsBHAEeASEBJQEqATABNQE7AUEBRgFKAU0BTwFQAVABTgFKAUYBPwE4AS8BJgEcARABBQD4AOwA3gDRAMQAtgCoAJsAjgCAAHQAZwBbAFAARQA6ADAAJwAfABcAEAAJAAP//f/4//P/7//r/+f/4//g/93/2//a/9n/2f/a/93/4P/k/+r/8f/4AAEACQASABsAIwArADIANwA8AD4APwA+ADwAOAAzAC0AJgAfABgAEgAMAAcAAwABAAAAAAACAAUACgAPABUAGwAiACgALQAyADYAOQA6ADsAOgA5ADYAMwAvACoAJgAiAB0AGQAWABMAEAAOAA0ADAALAAoACQAIAAgABwAFAAQAAgAA/////P/6//j/9//1//T/8//z//P/9P/1//b/+P/7//0AAAADAAYACgAOABIAFgAaAB4AIwAoAC0AMwA5AEAARwBOAFYAXgBmAG8AdwB/AIgAjwCXAJ4ApACqAK8AswC3ALkAuwC9AL4AvwC/AMAAwADBAMIAwwDFAMgAywDOANIA1QDaAN4A4gDmAOkA6wDtAO4A7QDsAOkA5QDgANoA0wDMAMQAvAC0AKwApQCeAJgAkwCPAIwAigCJAIkAiQCKAIoAiwCMAI0AjQCMAIoAiACFAIIAfQB5AHMAbgBpAGQAXwBaAFcAUwBRAFAATwBPAE8AUABRAFIAVABWAFcAWQBaAFsAXABdAF4AYABhAGQAZgBqAG4AcwB5AH8AhgCOAJYAngCmAK4AtgC8AMIAxwDLAM4AzwDQAM8AzgDMAMkAxwDFAMMAwQDBAMIAxADHAMwA0gDZAOIA6wD2AQEBDQEZASUBMQE9AUgBUgFcAWYBbgF2AX0BgwGJAY4BkgGWAZkBnAGeAaABoQGiAaIBoQGgAZ4BmwGYAZQBjwGKAYQBfQF2AW4BZwFfAVcBTwFIAUEBOgE0AS4BKQEkASEBHgEdARwBHAEcAR4BIAEiASUBKQEsAS8BMgE0ATUBNgE2ATQBMgEuASgBIgEaAREBBwD9APIA5gDbANAAxQC7ALEAqAChAJoAlACPAIoAhwCEAIEAfgB7AHkAdQByAG4AagBlAGAAWgBVAE8ASQBDAD4AOQA1ADEALgArACgAJwAlACQAIwAiACEAIAAfAB4AHQAbABkAGAAWABUAFAATABIAEgATABQAFQAXABkAHAAeACAAIgAkACUAJgAmACYAJAAiACAAHAAZABUAEAAMAAcAA/////v/9//0//H/7v/s/+n/5v/k/+H/3v/a/9b/0v/O/8r/xf/A/7z/t/+z/6//q/+o/6b/pP+j/6L/of+h/6H/of+i/6L/of+g/5//nf+b/5f/k/+P/4r/hP99/3f/cP9p/2H/Wv9U/03/R/9C/zz/OP80/zH/L/8t/yv/K/8q/yr/K/8r/yz/Lf8u/y//MP8x/zL/Mv8y/zL/Mv8x/zD/L/8u/y7/Lf8t/y3/Lv8v/zL/Nf86/0D/R/9Q/1r/Zf9y/3//jf+c/6z/vP/N/93/7f/9AA0AHQAsADoASABWAGQAcgCAAI4AnQCtAL0AzgDgAPMBBwEbATABRQFbAXABhQGaAa0BvwHQAd8B7AH3AgACBwIMAhACEQIQAg4CCwIHAgEB+wH0AewB4wHaAdABxgG7AbABpAGYAYsBfgFwAWIBVAFHATkBLQEhARcBDgEHAQIA/wD+AP8BAgEIAQ8BGQEkATABPQFLAVkBZwF2AYQBkQGfAawBuQHFAdIB4AHvAf8CEAIjAjkCUQJrAokCqALLAu8DFQM9A2YDjgO3A94EAwQlBEQEYAR3BIkElgSeBKEEnwSYBI0EfQRrBFUEPQQkBAoD8APXA78DqAOTA4EDcQNlA1wDVQNSA1MDVgNcA2YDcwOCA5QDqQPAA9oD9gQUBDQEVgR5BJ4EwwTpBQ4FNAVZBX0FnwW/Bd4F+QYSBikGPAZMBlgGYgZpBm0GbgZtBmoGZAZdBlQGSQY8Bi0GHQYLBfgF4gXKBbEFlQV3BVcFNQUSBOwExgSeBHcETgQnBAAD2wO4A5cDegNfA0gDNgMoAx4DGQMYAxwDJAMwA0EDVQNsA4YDowPBA+IEAwQmBEkEbASPBLIE1AT1BRYFNgVUBXIFjwWsBcgF4wX/BhsGNgZTBnAGjQasBssG6gcLBywHTgdxB5MHtgfYB/oIHAg8CFwIewiZCLYI0QjrCQUJHQk1CUwJYgl3CYwJoQm2CcoJ3gnyCgYKGgouCkEKVApnCnkKiwqcCq0KvgrPCt8K7gr+Cw4LHQstCz0LTQteC24LfwuRC6ILtAvGC9kL6wv9DBAMIgw0DEYMVwxpDHkMigyaDKoMuQzIDNYM5AzxDP4NCg0WDSENLA02DUANSQ1TDVwNZQ1uDXgNgQ2LDZYNoA2sDbgNxA3SDd8N7g38DgsOGg4pDjgORg5TDmAOaw52Dn8Ohg6MDpAOkw6TDpIOjw6KDoQOfA5yDmYOWQ5KDjoOKA4UDgAN6g3UDbwNpA2LDXINWQ1BDSkNEgz8DOcM1QzFDLYMqgyhDJkMlAySDJEMkgyVDJgMnQyhDKYMqQysDK4MrwyuDKsMpgygDJkMkAyGDHsMcQxmDFsMUQxJDEEMOww2DDMMMgwxDDMMNQw4DDwMQAxEDEgMTAxQDFMMVQxXDFgMWgxbDF0MXwxiDGYMbAxzDHwMhgyTDKEMsAzBDNMM5Qz4DQoNHA0tDTwNSg1VDV4NZQ1pDWoNaQ1mDWENWg1SDUoNQQ04DTANKA0iDR0NGg0ZDRkNHA0gDSYNLg03DUENTA1YDT4NRQ1MDVQNWw1iDWkNcA13DX4NhA2LDZENmA2eDaQNqw2xDbYNvA3BDcUNyQ3MDc8N0g3TDdQN1Q3WDdYN1g3WDdYN1Q3VDdUN1Q3VDdUN1A3UDdMN0Q3PDcwNyA3DDb0Ntg2tDaMNlw2LDX0NbQ1dDUsNOA0lDRAM+wzmDNAMugykDI4MeAxiDE0MOQwlDBMMAQvwC+EL0gvFC7kLrgukC5sLkguKC4ILegtyC2kLYAtWC0sLPwsyCyQLFQsFCvQK4grPCrwKqQqVCoIKbgpbCkgKNgokChMKAwnzCeQJ1gnJCbwJsAmkCZoJjwmFCXsJcQloCV4JVQlLCUEJNwktCSIJFgkKCP0I8AjiCNQIxQi2CKYIlgiGCHUIZAhUCEMIMgghCBAH/gftB9wHyge4B6YHlAeCB28HXAdKBzcHJQcTBwIG8gbiBtMGxQa4BqwGogaYBo4GhgZ+BnYGbgZmBl4GVQZMBkIGNwYsBiAGEwYFBfcF6QXbBcwFvgWwBaIFlQWIBXsFbwVjBVcFTAVABTQFKAUbBQ4FAQTzBOUE1gTIBLoErASfBJIEhgR7BHEEaQRhBFsEVgRRBE4ESgRHBEUEQQQ9BDkEMwQtBCUEHAQRBAYD+QPrA90DzgO+A68DnwOQA4EDcgNkA1cDSgM+AzIDJgMbAxADBQL6Au8C5ALYAswCwAK0AqcCmgKMAn4CcAJjAlUCRwI5AisCHQIQAgIB9QHoAdsBzgHBAbUBqgGfAZUBiwGCAXsBdAFvAWoBZwFlAWUBZQFmAWgBawFuAXEBdQF4AXoBfAF9AX0BewF5AXUBcAFqAWMBWwFSAUgBPgEzASgBHQERAQYA+wDxAOYA3ADSAMkAvwC2AKwAowCaAJEAiAB/AHYAbgBmAF8AWABTAE8ASwBJAEgASABKAE0AUQBVAFsAYQBnAG4AdAB6AIAAhQCKAI4AkQCUAJYAmACZAJsAnACeAKAAogClAKgArACwALQAuQC9AMIAxwDLAM4A0gDUANcA2ADZANoA2gDaANsA2wDbANwA3QDfAOEA4wDmAOkA7ADwAPMA9gD5APwA/gD/AQABAAEAAP8A/gD8APkA9wDzAPAA7ADnAOIA3ADWAM4AxgC9ALIApwCaAI0AfwBwAGAAUQBBADEAIgAUAAb/+v/u/+T/2//T/8z/x//B/73/uf+2/7L/r/+s/6n/pf+i/5//nP+a/5j/l/+X/5j/mf+c/5//o/+o/63/sv+3/7z/wf/F/8j/yv/M/83/zf/N/8z/zP/L/8r/yv/L/8z/zv/R/9b/2//g/+f/7f/z//r//wAEAAgACwANAA0ADAAJAAYAAf/8//X/7//o/+D/2f/S/8z/xf/A/7v/tv+y/67/qv+o/6X/o/+h/6D/nv+e/57/nv+e/6D/of+j/6b/qP+r/67/sf+0/7f/uf+7/73/vv++/77/vv++/73/vf+9/77/wP/D/8f/zP/T/9z/5v/y//4ADQAcACwAPABNAF0AbQB9AIsAmQClALAAugDCAMkAzgDTANYA2QDbANwA3QDfAOAA4gDlAOgA6wDwAPUA+wEBAQgBEAEXAR8BJgEtATQBOQE9AUABQgFCAUEBPgE5ATMBLAEjARoBDwEEAPgA7QDhANYAywDBALgAsACoAKEAmwCWAJEAjQCIAIQAgAB8AHcAcwBtAGgAYgBcAFYAUABKAEUAPwA7ADcAMwAwAC4ALQAsACwALAAsAC0ALgAvADAAMQAyADMANAA1ADcAOQA8AD8ARABJAFAAVwBfAGkAcgB9AIgAkgCcAKYArwC2ALwAwQDEAMYAxgDEAMEAvQC5ALQArwCrAKcApACjAKQApwCrALIAugDFANEA3gDsAPwBCwEbASsBOwFKAVgBZQFyAX0BhwGQAZgBoAGmAawBsQG1AbkBvAG/AcABwQHCAcEBvwG9AboBtQGwAaoBowGbAZIBiQGAAXYBbAFjAVkBUAFHAT4BNgEvASgBIgEcARgBEwEQAQ0BCwEKAQkBCQEJAQoBDAENAQ8BEgEUARUBFwEXARcBFgEUARABCwEFAP0A9ADrAOAA1ADIALsArwCjAJcAjACCAHgAcABpAGMAXgBaAFcAVABRAE8ATQBLAEgARQBCAD4AOgA2ADEALAAoACMAHwAbABcAFAARAA8ADQALAAkACAAGAAQAAwAA//7//P/5//b/9P/x/+//7P/r/+r/6f/p/+r/6//t/+//8v/0//f/+f/7//3//f/9//3/+//4//X/8f/s/+f/4v/c/9f/0f/M/8f/wv++/7r/t/+z/7D/rf+p/6X/ov+d/5n/lP+P/4n/hP9+/3j/c/9u/2n/Zf9i/1//Xf9b/1v/Wv9b/1v/XP9d/17/Xv9f/17/Xf9c/1n/Vv9S/03/R/9A/zn/Mf8p/yD/F/8O/wb+/f71/u7+5/7h/tz+2P7V/tP+0v7T/tT+1v7Z/t3+4f7l/ur+7/70/vj+/P8A/wP/Bf8H/wj/Cf8J/wn/CP8I/wj/Cf8K/wz/D/8T/xn/IP8o/zL/Pv9K/1n/aP94/4n/m/+t/7//0v/k//cACQAcAC4AQABSAGQAdgCIAJsArgDCANYA6gD/ARQBKQE+AVIBZgF5AYsBmwGqAbYBwQHJAc8B0wHUAdMB0AHLAcQBvAGzAagBnQGSAYYBegFuAWIBVgFKAT4BMwEnARwBEAEEAPgA7ADgANQAyQC+ALQAqgCiAJwAlwCUAJMAlACYAJ0ApQCwALwAygDZAOoA+wENASABMwFFAVcBaQF6AYsBmwGrAbsBywHbAewB/gISAicCPQJWAnECjQKsAs0C8AMTAzgDXQOCA6cDygPrBAoEJQQ9BFEEYQRsBHMEdQRyBGsEXwRQBD0EKAQRA/cD3QPDA6gDjgN1A14DSAM2AyUDGAMNAwYDAgMCAwUDDAMXAyUDNgNMA2UDgQOgA8ID5gQNBDYEXwSKBLUE3wUIBS8FVAV3BZYFsQXJBd0F7AX3Bf0GAAX+BfkF8AXlBdYFxQWyBZ0FhwVuBVUFOgUeBQAE4gTCBKIEgQRfBDwEGQP3A9QDsgORA3EDUwM4Ax8DCQL2AucC2wLUAtAC0ALTAtoC5ALyAwIDFQMqA0EDWQN0A48DqwPJA+cEBQQlBEUEZQSGBKcEyQTrBQ4FMQVUBXgFnAXBBeYGCwYwBlUGewahBsYG7AcRBzYHWwd/B6MHxQfnCAgIKAhGCGQIgAibCLUIzgjlCPwJEgkoCT0JUglmCXsJkAmlCboJ0AnmCfwKEQonCj0KUgpmCnoKjQqfCrEKwQrQCt8K7Qr6CwcLFAshCy0LOgtIC1ULZAtzC4MLlAulC7cLygvcC/AMAwwWDCkMOwxNDF8McAyBDJEMoAyvDL0MywzYDOQM8Az8DQcNEg0dDScNMQ07DUUNTw1ZDWMNbQ14DYINjg2aDacNtA3CDdEN4A3wDgAOEQ4hDjIOQg5SDmAObg56DoUOjQ6UDpkOmw6cDpoOlg6QDogOfg5zDmYOWA5JDjkOKQ4YDgYN9A3iDc8NvA2pDZYNgg1uDVoNRg0yDR8NCwz4DOYM1AzEDLUMpwyaDI8Mhgx/DHkMdQxyDHEMcAxxDHIMdAx2DHcMeAx5DHgMdwx2DHMMbwxrDGYMYQxcDFYMUQxMDEcMRAxADD4MPQw8DDwMPAw9DD8MQQxDDEUMRwxIDEoMTAxODFAMUgxVDFkMXQxiDGkMcQx7DIYMkwyhDLEMwgzUDOcM+g0NDSANMg1CDVENXw1qDXINeA18DX0NfA15DXMNbQ1kDVsNUg1IDT8NNg0uDScNIg0eDRsNGg0bDR0NIA0lDSoNMA03DToNPQ1ADUQNRw1KDU4NUg1WDVsNYQ1oDW8NeA2BDYsNlg2iDa4Nuw3HDdMN3w3qDfUN/g4HDg4OFQ4aDh4OIA4iDiMOIw4hDh8OHQ4ZDhUOEA4LDgQN/Q31De0N4w3ZDc8Nww23DaoNnQ2PDYENcw1kDVUNRg03DScNFw0GDPUM5AzRDL8MrAyYDIQMcAxcDEgMNAwgDA0L+wvqC9kLygu8C68LowuYC40Lgwt6C3ALZgtcC1ELRQs4CyoLGwsLCvoK5wrUCr8KqgqVCn8KaQpTCj0KJwoSCf0J6QnWCcMJsQmhCZEJgQlzCWYJWQlOCUMJOAkuCSUJGwkSCQgI/wj0COkI3gjRCMQItgimCJYIhQh0CGEITwg8CCkIFggEB/IH4AfOB70HrAecB4sHewdrB1sHSgc5BygHFwcFBvQG4gbQBr8GrgadBo4GfwZxBmQGWAZMBkIGOQYwBicGHwYWBg4GBQX8BfIF6AXdBdEFxQW5BawFnwWTBYYFegVuBWIFWAVNBUIFOAUuBSQFGQUOBQIE9gTpBNsEzAS9BK0EnASMBHwEbARdBE8EQwQ4BC8EJwQhBB0EGwQZBBkEGgQbBBsEGwQbBBkEFgQRBAoEAgP4A+wD3wPQA8ADrwOeA40DfANrA1oDSgM7AywDHwMRAwUC+QLtAuEC1QLJAr0CsAKjApYCiAJ6AmwCXQJOAkACMQIjAhUCBwH6Ae0B4AHTAccBugGuAaIBlwGLAX8BdAFpAV4BVAFLAUIBOgEzAS0BKAEjASABHwEeAR0BHgEfASABIgEkASYBJwEoASgBJwElASMBIAEbARYBEAEJAQIA+gDyAOoA4gDaANMAzADFAL8AugC1ALEArQCqAKcAowChAJ0AmgCWAJMAjgCKAIUAgAB6AHUAcABrAGcAYwBfAF0AWwBaAFoAWgBbAF0AXwBhAGMAZABmAGcAaABoAGgAZwBmAGQAYgBgAF4AXQBbAFoAWQBaAFoAXABeAGEAZQBpAG4AcwB5AH8AhQCLAJEAlgCcAKEApgCrAK8AswC3ALkAvAC9AL4AvwC/AL4AvQC8ALoAuAC1ALMAsgCwALAAsACxALIAtAC3ALoAvgDBAMUAxwDIAMkAxwDEAL4AtwCtAKEAkwCDAHIAXwBMADgAJAAR////7v/e/9D/w/+5/6//qP+i/53/mf+V/5L/j/+L/4j/hP+A/3z/eP90/2//a/9o/2X/Yv9g/2D/X/9g/2H/Y/9l/2j/a/9u/3H/dP93/3r/ff+A/4T/iP+M/5H/lv+c/6P/qv+x/7j/wP/H/83/0//Y/9z/3v/g/9//3f/a/9b/0P/J/8L/u/+z/6r/ov+b/5P/jP+F/3//eP9z/23/Z/9i/1z/V/9S/03/Sf9E/0H/P/89/zz/Pf8//0L/Rv9L/1H/V/9e/2X/a/9w/3X/eP96/3v/e/96/3f/dP9x/27/a/9q/2r/bP9x/3j/gv+P/57/sP/F/9z/9AANACcAQQBaAHMAigCfALMAxADTAN8A6QDxAPgA/AEAAQIBAwEFAQYBBwEIAQoBDQEQARUBGgEgASYBLQE1AT0BRQFNAVUBXQFlAWsBcQF2AXoBfQF/AX8BfQF6AXYBcAFoAWABVgFLAT8BMwEmARkBDAEAAPMA6ADdANMAyQDAALkAsQCrAKQAngCZAJMAjQCIAIIAfAB1AG8AaABiAFsAVABOAEgAQgA8ADcAMwAvACsAKAAlACIAIAAeABwAGwAaABkAGQAZABoAHAAfACMAKQAvADcAPwBJAFQAYABsAHgAhACQAJoApACsALMAtwC6ALoAuQC2ALIArACmAJ8AmQCTAI8AjACLAIwAjwCVAJ4AqAC1AMQA1ADlAPcBCgEcAS4BPwFPAV0BawF2AYEBigGSAZkBngGjAagBrAGvAbIBtQG3AbkBugG7AbsBugG4AbUBsQGsAaYBngGXAY4BhQF8AXMBagFhAVgBTwFHAUABOQEyASwBJgEgARsBFgERAQwBBwECAP4A+QD2APMA8ADuAO0A7QDtAO0A7gDuAO8A8ADvAO4A7QDpAOUA3wDYAM8AxQC6AK4AogCVAIkAfQBxAGYAXABTAEsARAA/ADsANwA1ADMAMQAwAC4ALQArACkAJgAkACEAHQAaABYAEwAPAAwACAAFAAL////8//n/9v/y/+//6v/m/+H/3P/X/9H/zP/H/8L/vv+6/7j/tv+2/7b/t/+5/7z/wP/D/8f/y//O/9H/0//U/9T/0//R/87/yv/G/8D/u/+1/6//qf+j/53/mP+T/47/iv+F/4H/ff95/3T/b/9q/2X/X/9Z/1L/TP9F/z//OP8z/y3/Kf8k/yH/Hv8c/xv/Gv8a/xv/G/8c/x3/Hv8f/yD/IP8f/x7/HP8Z/xb/Ev8N/wf/AP75/vH+6f7g/tf+zv7F/rz+tP6s/qb+oP6b/pj+lv6V/pb+l/6a/p7+o/6o/q7+tP66/sD+xf7K/s7+0v7U/tb+1/7Y/tj+2P7Y/tn+2v7c/t7+4v7n/u7+9v8A/wv/GP8n/zb/R/9Z/2z/gP+U/6j/vf/T/+j//QATACkAPgBUAGkAfwCVAKoAwADVAOoA/gESASQBNgFGAVUBYgFtAXYBfQGBAYIBgQF+AXgBcAFmAVoBTQE/ATABIAERAQEA8gDjANUAxwC7AK8ApQCbAJIAigCCAHsAdABuAGgAYwBeAFkAVQBRAE8ATQBMAEwATQBQAFQAWQBgAGkAcwB+AIsAmQCoALgAyQDbAO0BAAETAScBOwFPAWIBdgGKAZ4BsgHGAdoB7QICAhYCKwJAAlUCawKBApkCsALJAuEC+gMTAywDRQNdA3MDiQOdA64DvQPKA9MD2QPdA9wD2QPSA8gDvAOtA5wDigN2A2IDTQM4AyUDEgMAAvEC4wLYAtACygLHAsgCzALUAt8C7QMAAxUDLgNJA2gDiAOrA88D8wQYBD0EYQSDBKMEwQTbBPEFAwUSBRwFIQUjBSEFGgURBQUE9gTlBNIEvgSpBJMEfQRmBE8ENwQfBAcD7gPVA7sDoQOHA20DUwM6AyEDCgL0AuEC0ALBArYCrgKqAqkCrAKzArwCyQLYAukC/QMSAykDQANYA3ADiQOiA7sD1APuBAgEIwQ/BFwEewSaBLwE3wUEBSoFUQV6BaUF0AX8BikGVgaDBq8G3AcHBzIHXAeEB6wH0Qf2CBgIOghZCHcIkwiuCMgI4Aj3CQ0JIgk2CUoJXQlxCYQJmAmsCcAJ1QnrCgAKFwotCkMKWQpvCoQKmAqrCr4KzwrfCu4K+wsICxQLHwsqCzQLPwtKC1ULYQtuC3sLiQuZC6kLugvLC90L7wwCDBQMJgw4DEkMWgxqDHoMiQyYDKYMswzADM0M2gzmDPIM/g0KDRYNIg0uDToNRg1RDV0NaA1zDX4NiQ2VDaANrA24DcQN0Q3eDesN+Q4HDhYOJA4zDkEOTg5bDmcOcQ56DoIOhw6KDosOig6HDoEOeg5wDmQOVw5IDjgOKA4WDgQN8g3fDc0Nuw2pDZYNhQ1zDWENUA0+DS0NGw0JDPcM5QzSDMAMrgycDIsMegxqDFsMTQxADDUMKwwiDBsMFQwRDA4MDAwMDAwMDQwPDBIMFAwYDBsMHgwhDCQMJwwqDC0MLwwyDDQMNgw3DDkMOgw7DDwMPQw+DD4MPww/DEAMQQxCDEMMRQxIDEsMTwxVDFwMZAxtDHgMhQyUDKQMtgzIDN0M8g0HDR0NMg1IDVwNbw2ADY8Nmw2mDa0Nsg20DbMNrw2qDaINmQ2ODYMNdw1rDWANVQ1LDUINOw01DTENLg0tDSwNLQ0vDTENNA03DXUNeA17DX4NgA2CDYQNhw2KDY4Nkw2ZDaENqg21DcIN0A3fDe8OAA4RDiMONA5EDlMOYA5sDnYOfg6FDokOiw6LDokOhg6BDnsOcw5rDmIOWA5NDkIONg4qDh4OEg4FDfkN7A3gDdQNyQ2+DbMNqQ2eDZQNig2ADXUNaQ1dDVANQQ0wDR4NCwz1DN4MxgysDJEMdgxaDD8MJAwKC/EL2QvDC68LnAuLC3sLbQtfC1ILRgs6Cy0LIAsTCwQK9QrkCtMKwAqtCpkKhApvClkKQwotChcKAQnsCdYJwgmtCZoJhgl0CWIJUQlBCTIJJAkXCQsI/wj0COoI4AjXCM0IxAi5CK8IowiWCIgIeAhoCFYIQwgvCBoIBQfwB9oHxQexB50Higd4B2YHVgdHBzgHKQcbBw0G/wbwBuIG0wbDBrQGpAaTBoMGcwZjBlQGRQY4BisGHwYUBgsGAgX6BfIF6wXjBdwF1AXLBcIFuQWuBaMFlwWKBX0FcAVjBVUFSAU7BS4FIQUVBQkE/QTxBOUE2ATLBL4ErwShBJEEgQRwBF8ETQQ8BCwEHAQNA/8D8wPpA+ED2wPWA9MD0gPSA9MD1APVA9YD1wPWA9QD0QPLA8QDuwOwA6QDlgOHA3cDZwNXA0cDNwMnAxgDCgL9AvAC4wLXAssCvwKzAqcCmgKNAn8CcQJiAlMCQwIzAiMCEwIEAfUB5gHYAcsBvgGyAacBnAGRAYcBfAFyAWgBXgFUAUkBPwE1ASsBIQEYAQ8BBgD/APgA8gDtAOgA5QDjAOEA4ADfAN8A4ADgAOEA4gDjAOMA4wDiAOIA4ADeANsA2ADUANAAywDGAMAAuwC2ALEArACoAKQAoQCeAJ0AmwCbAJsAmwCcAJ0AnQCdAJ0AnACaAJcAkwCOAIkAggB7AHIAagBiAFkAUQBJAEEAOgA0AC8AKwAnACQAIQAfAB0AGwAaABgAFgAUABIAEAAOAAwACgAJAAgABwAIAAkACgANABEAFQAbACEAKAAvADcAPgBGAE4AVgBdAGQAaQBuAHMAdgB4AHoAegB5AHgAdQByAG8AawBnAGMAXwBcAFoAWQBZAFoAXQBhAGcAbgB3AIAAigCVAJ8AqQCyALkAvwDCAMMAwQC8ALQAqgCdAI0AfABpAFQAPwArABYAAf/u/9z/zP+8/6//o/+Y/4//hv9//3j/cv9r/2b/YP9b/1X/UP9M/0f/RP9B/z7/PP87/zv/O/88/z3/P/9B/0P/Rf9I/0r/Tf9Q/1P/Vv9a/17/Y/9o/27/dP97/4L/iP+P/5X/mv+e/6L/pP+k/6P/oP+c/5f/kf+K/4L/ev9y/2v/ZP9e/1n/Vf9S/1D/Tv9N/0z/TP9K/0n/Rv9D/0D/O/82/zH/K/8m/yH/Hf8a/xn/Gf8a/x3/If8n/y3/NP87/0L/SP9N/1H/U/9T/1H/Tv9J/0T/Pv85/zX/Mv8x/zP/OP9C/07/X/90/4z/qP/G/+YABwApAEsAawCKAKcAwQDYAOwA/AEJARMBGgEfASIBJAEkASQBJAEkASQBJQEmASgBKwEvATMBNwE8AUEBRgFLAU8BVAFYAVwBYAFjAWYBaQFrAW4BbwFxAXIBcgFyAXEBcAFtAWkBZQFgAVkBUwFLAUMBOwEzASoBIgEaARMBDQEHAQEA/AD4APQA8ADsAOgA5ADgANoA1QDPAMcAwAC3AK4ApACaAJAAhgB8AHIAaABfAFcATgBHAEAAOQAzAC4AKQAlACIAHgAcABoAGQAZABoAHAAfACMAKAAvADcAPwBJAFMAXQBnAHEAegCCAIkAjgCSAJQAlACTAJAAjACHAIIAfgB5AHYAdAB0AHcAewCCAIsAlwClALQAxQDXAOkA+wENAR4BLgE8AUgBUwFcAWQBaQFuAXIBdQF3AXkBfAF+AYABgwGGAYkBjAGPAZEBkgGTAZMBkQGPAYsBhgGBAXsBdAFsAWUBXgFXAVABSgFFAUABOwE3ATIBLgEqASUBIAEbARUBDwEIAQEA+QDyAOwA5QDgANsA1wDVANMA0wDTANQA1QDWANgA2ADYANcA1ADQAMsAxAC8ALIAqACdAJIAhgB7AHEAZwBeAFcAUABLAEcARABBAD8APgA9ADsAOQA3ADQAMQAtACgAIwAdABcAEQAKAAT//v/3//H/6//m/+D/2v/T/83/xv+//7j/sf+p/6L/m/+V/4//iv+F/4P/gf+B/4L/hP+H/4z/kf+W/5z/of+m/6n/rf+u/6//rv+s/6n/pf+g/5r/k/+N/4b/f/95/3L/bP9n/2L/Xf9Y/1P/T/9K/0X/P/85/zP/LP8l/x7/F/8P/wj/Af76/vT+7/7q/ub+4v7f/t3+3P7b/tr+2v7a/tv+2/7c/t3+3f7e/t7+3v7d/t3+2/7Z/tf+0/7P/sv+xv7A/rn+sv6r/qT+nP6W/o/+if6E/oD+ff58/nv+fP59/oD+g/6H/ov+kP6U/pj+nP6f/qH+o/6k/qT+pP6k/qT+pP6k/qX+p/6q/q/+tf69/sb+0f7e/uz++/8M/x7/Mf9F/1n/bv+D/5n/r//F/9z/8gAIAB8ANQBLAGEAdwCMAKEAtQDIANkA6gD4AQUBEAEZAR8BIgEkASIBHgEYAQ8BBAD3AOkA2QDIALcApQCTAIEAcABfAFAAQQA0ACgAHQAUAAwABQAA//z/+f/3//b/9v/3//n//AAAAAUACgAQABcAHwAnAC8AOABBAEoAUwBcAGUAbgB2AH8AiACQAJkAowCtALgAxADSAOAA7wEAARIBJQE5AU0BYgF2AYsBnwGzAcUB1wHoAfgCBwIVAiICMAI9AkoCWAJmAnQChAKUAqUCtgLHAtgC6QL4AwcDEwMdAyUDKgMtAywDKQMjAxsDEAMEAvcC6ALaAssCvQKwAqQCmgKSAo0CigKJAosCkQKZAqQCsgLDAtYC7AMEAx8DOgNXA3UDkwOxA84D6QQDBBoELgQ+BEsEVQRaBFsEWARSBEkEPQQuBB4EDQP6A+gD1QPCA7ADnwOOA30DbQNeA04DPwMvAx8DDwL/Au8C3wLPAsACswKnAp4ClwKTApIClQKbAqUCsgLDAtYC7AMEAx4DOQNVA3IDjgOrA8cD4wP/BBoENQRRBGwEiQSnBMYE5gUIBSsFUQV4BaAFygX1BiEGTgZ6BqcG0wb/ByoHUwd8B6QHygfvCBIINAhUCHQIkgiuCMoI5Aj9CRYJLQlECVoJbwmECZkJrQnBCdUJ6Qn9ChEKJgo6Ck8KYwp3CosKngqwCsIK0wrjCvILAAsNCxkLJQswCzsLRQtQC1sLZgtzC4ALjgucC6wLvAvNC94L8AwCDBQMJQw3DEcMVwxnDHUMgwyRDJ0Mqgy2DMIMzQzZDOUM8Qz+DQsNGA0lDTINQA1NDVoNZw1zDYANiw2WDaENqw22Db8NyA3SDdsN5A3tDfcOAA4KDhQOHg4oDjEOOw5EDkwOVA5aDmAOYw5mDmcOZg5jDl4OWA5PDkUOOg4tDh8ODw3/De0N2w3JDbYNow2PDXsNaA1UDUANLA0YDQQM8AzcDMgMtAyfDIsMdwxjDE8MPAwpDBcMBgv1C+UL1wvKC74LtAurC6QLnwubC5kLmQuaC50LoQunC64Ltgu+C8gL0QvbC+UL7gv3DAAMBwwODBQMGQwdDCEMIwwlDCYMKAwpDCoMKwwtDC8MMww4DD4MRQxODFkMZgx0DIUMlwyrDMEM2QzxDQsNJg1BDVsNdg2QDagNvg3TDeQN8w3/DggODQ4ODgwOBw3/DfUN6A3aDcsNvA2tDZ4NkA2EDXkNcA1qDWUNYg1hDWINZA1mDWoNbQ1xDdAN2A3fDeUN6g3uDfEN9A33DfoN/g4DDgkOEQ4aDiUOMg5BDlAOYQ5zDoQOlg6mDrYOxA7QDtoO4g7nDuoO6g7pDuUO3w7YDs8OxQ65Dq0OoA6SDoQOdQ5nDlgOSQ47Di0OHw4SDgYN+w3xDegN4A3ZDdINyw3FDb4Ntg2tDaINlQ2GDXQNYA1JDS8NEgzzDNMMsQyODGoMSAwlDAUL5QvIC60Lkwt8C2cLUwtBCzALIAsQCwAK8ArfCs4KvAqqCpcKgwpvCloKRgoxCh0KCQn1CeIJzwm8CaoJmAmGCXQJYglQCT8JLgkdCQ0I/QjuCOAI0gjFCLkIrQiiCJcIjAiBCHUIaAhaCEsIOwgpCBcIAwfuB9gHwgesB5YHgAdrB1gHRQczByMHFAcGBvkG7QbgBtQGyAa7Bq4GoAaSBoMGcwZjBlIGQgYyBiMGFAYHBfsF7wXlBd0F1QXOBccFwQW7BbUFrwWnBZ8FlgWMBYAFdAVmBVgFSAU5BSkFGQUIBPgE6ATYBMgEuQSqBJsEiwR8BG0EXQRNBD0ELQQcBAwD/APsA90DzwPBA7YDqwOiA5oDlAOPA4wDiQOHA4YDhAODA4ADfQN5A3MDbANkA1oDTwNDAzUDJwMZAwsC/ALvAuEC1ALIAr0CsgKoAp0CkwKJAn4CcwJnAloCTAI9Ai0CHQINAfwB6wHaAcoBugGrAZ4BkQGFAXsBcQFoAWABWAFRAUkBQQE5ATEBKAEfARUBDAECAPgA7gDlANwA1ADNAMYAwAC7ALcAswCwAK4ArACqAKkAqACnAKYApQCkAKQAowCiAKEAoACeAJ0AmgCYAJUAkgCOAIoAhQCBAHwAdwByAG4AaQBmAGMAYQBgAGAAYABhAGMAZQBmAGgAaQBqAGkAZwBkAF8AWQBSAEkAPwA1ACkAHQARAAb/+v/w/+b/3f/W/8//yv/F/8L/wP++/7z/vP+7/7v/u/+6/7r/u/+7/7v/vP+9/7//wf/D/8f/yv/O/9P/2P/d/+L/5//s//H/9f/4//z//gAAAAEAAgACAAIAAQAA/////v/9//z//P/8//z//f//AAIABgAKABAAFwAfACgAMgA9AEgAVABfAGsAdwCBAIsAkwCaAJ8AogCiAKAAnACVAIwAgQB0AGYAVgBFADIAHwAM//n/5f/S/7//rf+b/4n/eP9o/1n/Sv89/zH/Jv8c/xT/Dv8J/wX/A/8D/wT/B/8K/w7/E/8Y/x3/I/8n/yv/L/8y/zX/N/85/zr/PP8+/0D/Qv9F/0j/TP9Q/1T/V/9b/13/X/9g/2D/Xv9a/1b/UP9J/0L/Ov8y/yv/JP8e/xv/GP8Y/xn/G/8f/yX/K/8x/zf/Pf9C/0b/SP9J/0n/SP9F/0H/Pf85/zX/Mv8v/y7/Lv8w/zP/OP89/0P/Sf9P/1X/Wf9b/1z/XP9Z/1T/T/9I/0H/O/81/zL/Mf8z/zn/RP9S/2b/ff+Z/7j/2v/+ACMASABtAJAAsQDPAOkA/wESASABKwEzATcBOQE5ATcBNQEzATABLwEuAS4BLwExATMBNgE5ATwBPgFAAUEBQgFCAUABPgE8ATkBNgEzATABLgEsASsBKwErASwBLgExATMBNgE5ATsBPgFAAUEBQwFDAUQBRAFDAUMBQwFDAUMBQwFEAUQBRQFGAUYBRwFGAUUBQwFAATwBNgEvASYBHAERAQUA+ADqANwAzgDAALMApgCaAI4AhAB7AHIAawBkAF4AWABTAE0ASABDAD0AOAAyAC0AKAAjAB8AGwAZABgAGAAZABwAIAAlACsAMgA5AEAARwBNAFMAWABcAF4AYABhAGEAYQBhAGIAYwBlAGgAbgB1AH4AiQCVAKMAsgDCANIA4wDyAQEBDgEaASQBLQE0ATkBPQFAAUEBQwFEAUYBSAFKAU4BUgFWAVwBYQFnAWwBcAF0AXcBeQF5AXcBdQFxAWwBZgFgAVkBUwFMAUYBQQE8ATgBNAExAS8BLAEpASYBIgEeARkBEwEMAQUA/gD2AO8A6ADiANwA2ADVANQA0wDUANYA2QDcAOAA4wDmAOgA6ADoAOYA4wDeANkA0gDKAMIAugCyAKoAowCdAJcAkgCOAIoAhwCEAIEAfQB5AHQAbgBnAF4AVQBKAD4AMQAkABcACf/8//D/5P/Y/87/xP+7/7L/qv+j/5z/lP+N/4b/f/94/3H/av9k/17/Wv9W/1T/U/9T/1X/WP9c/2H/Z/9s/3L/eP98/4D/gv+D/4L/gP98/3f/cf9q/2L/Wv9S/0n/Qv86/zT/Lv8o/yP/H/8b/xf/Ev8O/wr/Bf7//vr+8/7t/ub+3/7Y/tH+yv7E/r7+uf60/rH+rf6q/qj+pv6l/qT+o/6i/qH+of6h/qH+of6h/qH+ov6i/qP+o/6j/qP+o/6i/qH+n/6c/pn+lf6S/o3+if6E/oD+fP55/nf+df50/nX+df53/nn+fP5//oH+hP6G/oj+if6J/on+h/6G/oT+gv6A/n/+fv5//oH+hP6J/pD+mf6k/rD+vv7N/t7+7/8C/xX/KP87/0//Y/92/4r/nf+x/8T/2P/r//4AEQAkADcASQBbAGsAewCIAJUAnwCnAK0AsQCyALEArQCnAJ8AlQCJAHsAbQBdAE0APQAtAB0ADv////H/5P/Z/87/xf+9/7X/r/+q/6f/pP+i/6L/ov+k/6j/rP+y/7n/wv/M/9j/5f/yAAEAEAAfAC4APQBLAFcAYwBsAHQAegB+AIAAggCCAIEAgACAAIAAgQCEAIkAjwCYAKMAsAC+AM8A4ADxAQMBFAElATQBQwFQAVsBZgFvAXgBgQGKAZQBnwGsAboBywHdAfECBwIfAjYCTgJlAnsCjwKgAq4CuQLAAsMCwwK+ArcCrAKgApICgwJ0AmUCWAJMAkECOgI1AjICMwI3Aj4CRwJTAmMCdAKIAp4CtgLQAusDBwMkA0IDXwN8A5gDswPLA+ED9AQDBA8EFwQaBBoEFgQOBAID9APjA9EDvQOoA5MDfgNqA1YDRAMyAyIDEgMEAvYC6QLcAtACxAK5Aq4CpAKbApMCjQKKAokCiwKQApkCpgK2AsoC4gL8AxoDOgNbA38DowPHA+wEEAQ0BFgEegScBL4E3wT/BSAFQgVkBYYFqQXOBfMGGQZABmcGjwa2Bt4HBQcrB1EHdQeYB7oH3Af8CBsIOQhWCHMIjwirCMYI4Qj8CRYJMAlKCWMJewmTCaoJwQnWCesJ/woSCiUKNwpIClkKagp6CooKmQqoCrcKxQrSCt8K6wr3CwMLDgsZCyQLLgs5C0ULUAtdC2oLeAuHC5cLpwu4C8oL3AvvDAEMEwwlDDYMRwxXDGYMdAyCDI8MmwynDLMMvgzKDNUM4gzuDPsNCA0VDSMNMA0+DUwNWQ1mDXINfg2KDZQNng2nDbANuA2/DcYNzQ3UDdoN4Q3nDe4N9Q38DgMOCg4SDhkOIA4nDi4ONA46Dj8OQw5HDkkOSg5KDkkORg5CDj0ONQ4sDiIOFg4IDfkN6Q3XDcMNrw2ZDYMNbA1UDTwNIw0KDPEM2Ay/DKcMjwx3DGAMSQwzDB0MBwvzC98Lywu5C6cLlguGC3gLawtfC1ULTAtGC0ELPws/C0ELRQtLC1QLXQtpC3ULgguQC50Lqwu4C8QLzwvZC+EL6AvuC/ML9wv6C/wL/gwADAIMBQwIDAwMEgwZDCIMLAw4DEYMVQxmDHkMjgylDL0M1wzzDQ8NLQ1MDWsNig2pDcYN4w39DhYOKw48DkoOVA5aDlsOWQ5SDkgOOw4rDhoOCA31DeMN0g3CDbUNqw2jDZ8NnQ2eDaINpw2uDbYNvw3IDiYONA5BDk0OWA5gDmcObA5wDnMOdg55DnwOgQ6GDowOlA6eDqgOsw7ADswO2Q7lDvEO+w8FDwwPEg8XDxkPGQ8YDxQPEA8JDwEO+A7tDuEO0w7FDrUOow6RDn4Oaw5XDkMOLw4dDgsN+g3rDd4N0w3JDcINvA23DbINrg2pDaMNmw2RDYQNcw1gDUkNLg0RDPEMzgyqDIYMYQw8DBkL9wvXC7gLnAuCC2oLUws9CykLFQsBCu0K2ArDCq0KlwqACmkKUgo7CiUKDwn6CeYJ1AnCCbEJoQmSCYIJcwlkCVQJRAk0CSIJEAj+COsI2QjGCLQIowiSCIIIcghkCFYISAg6CC0IHwgQCAEH8QfgB84HuwenB5QHfwdrB1gHRQcyByEHEgcDBvUG6QbdBtIGxwa8BrEGpAaYBooGewZrBloGSAY2BiQGEgYABe8F4AXRBcQFuQWvBaYFngWYBZIFjQWIBYMFfQV2BW4FZQVaBU8FQQUzBSMFEwUCBPAE3gTLBLkEpwSVBIMEcgRgBFAEQAQvBCAEEAQAA/ED4gPTA8UDtgOpA5sDjwODA3gDbgNlA10DVgNPA0kDQwM+AzgDMwMtAyYDHwMWAw0DAwL4Au0C4QLUAsgCuwKvAqMCmAKOAoQCewJzAmsCYwJbAlMCSgJAAjUCKQIbAg0B/QHsAdoBxwG1AaIBkAF/AW8BYQFUAUgBPgE2AS8BKQEjAR8BGgEVAQ8BCQECAPoA8QDoAN0A0wDJAL4AtACrAKIAmwCUAI4AiQCFAIIAfwB9AHsAeAB2AHQAcQBuAGsAaABkAGEAXgBaAFcAVABSAE8ATQBKAEcARABAAD0AOAAzAC4AKAAiABwAFgARAAwACAAEAAIAAAAAAAAAAQADAAUABgAIAAkACQAHAAUAAf/8//b/7v/l/9v/0f/H/7z/sv+o/5//l/+Q/4v/hv+C/4D/fv9+/33/ff9+/37/fv9//3//fv9+/33/fP97/3r/ef94/3f/dv91/3T/dP9z/3L/cf9v/23/a/9p/2f/Zf9i/2H/X/9f/1//YP9j/2f/bP9z/3r/hP+O/5n/pf+y/7//zP/Z/+X/8f/8AAcAEAAZACIAKQAwADYAPABCAEcATABRAFUAWQBcAF8AYQBiAGIAYQBeAFoAVABLAEEANQAnABYABP/w/9v/xP+s/5P/ev9i/0r/M/8d/wr++P7p/t7+1f7O/sv+y/7N/tH+1/7f/uf+8P75/wH/CP8O/xP/F/8Z/xv/G/8a/xn/F/8W/xX/Ff8V/xX/F/8Z/xv/Hf8g/yL/I/8j/yP/If8e/xr/Fv8R/wv/Bf8A/vz++f73/vb++P77/v//Bf8M/xT/HP8l/y3/NP87/0H/Rf9I/0r/S/9L/0v/S/9L/0v/Tf9P/1P/WP9d/2T/bP90/3z/hP+L/5D/lP+X/5j/lv+U/4//i/+F/4D/fP96/3r/ff+D/47/nP+v/8X/3//8ABsAPABeAH8AoAC+ANoA8gEHARkBJgEvATUBNwE3ATUBMgEuASkBJQEiASABIAEgASIBJQEoASwBLwEzATUBNwE3ATYBMwEvASoBJAEdARYBDwEIAQIA/QD4APUA8wDyAPIA9AD2APkA/QEBAQUBCQEOARIBFwEcASEBJgEsATEBNwE9AUQBSgFRAVcBXQFjAWgBawFtAW4BbgFrAWcBYAFYAU4BQgE2ASgBGQEKAPsA7QDfANIAxgC8ALQArQCnAKMAoACdAJsAmQCXAJUAkQCMAIYAfgB1AGsAXwBSAEUAOQAsACEAFgAOAAcAAwABAAIABQAJABAAGAAhACsANAA+AEYATgBVAFsAXwBjAGYAaABrAG4AcQB2AHsAggCLAJUAoACsALkAxgDUAOEA7QD4AQMBCwETARkBHgEhASQBJgEpASsBLgEyATYBOwFAAUcBTgFUAVsBYQFnAWsBbgFvAW8BbQFqAWUBXwFYAVEBSgFCATsBNQEvASoBJQEhAR4BHAEZARcBFAERAQ4BCgEGAQIA/QD5APQA8QDuAOwA6wDrAO0A8AD0APkA/wEFAQsBEQEXARwBIAEjASQBJAEjASEBHgEaARUBEAELAQYBAgD9APkA9ADwAOsA5gDfANgAzwDEALgAqQCZAIcAcwBeAEcAMQAaAAT/7//b/8n/uP+q/53/kv+K/4L/fP92/3H/bP9o/2P/Xf9Y/1H/S/9F/z//Of80/zH/Lv8t/y3/Lv8x/zX/Of8+/0L/R/9K/0z/Tf9M/0r/Rv9A/zj/MP8m/xz/Ev8I/v/+9v7u/uf+4f7c/tj+1f7S/s/+zf7L/sj+xf7B/r3+uP6z/q7+qf6j/p7+mf6U/pD+jf6K/of+hf6D/oH+gP5//n3+e/56/nj+dv50/nL+cP5u/mz+a/5q/mn+af5p/mn+af5p/mn+af5o/mf+Z/5l/mT+Y/5i/mL+Yf5i/mL+ZP5m/mn+bf5w/nT+eP58/n/+gf6D/oP+g/6B/n/+fP55/nX+cv5v/m3+bf5u/nH+dv59/ob+kv6e/q3+vf7N/t/+8P8C/xP/JP80/0T/VP9j/3H/f/+N/5v/qP+2/8T/0v/g/+3/+wAHABMAHQAmAC0AMgA2ADcANgAyAC0AJgAdABMACP/8//D/5P/X/8z/wP+2/6z/o/+c/5X/j/+K/4b/gv9//33/ev95/3j/d/93/3j/ef98/4D/hf+M/5T/n/+q/7j/xv/W/+f/+AAJABoAKwA5AEYAUQBaAF8AYwBjAGEAXgBYAFEASgBCADsANQAxAC8ALwAyADcAPgBHAFIAXwBrAHkAhQCRAJ0ApwCwALgAwADHAM8A2ADiAO8A/gEQASUBPgFZAXcBlwG5AdsB/AIcAjkCUwJoAngChAKJAokChAJ6AmwCWwJIAjMCHgIKAfgB6AHbAdIBzQHLAc4B1AHfAe0B/QIRAicCQAJaAnYClAKzAtMC9QMXAzkDXAN+A6ADwQPgA/0EFwQuBEAETwRZBF4EXgRZBFAEQwQyBB4EBwPuA9QDuQOeA4MDaQNQAzgDIgMNAvsC6gLbAs0CwgK5ArICrQKrAqwCrwK2AsACzgLfAvUDDgMqA0oDbAORA7kD4QQLBDYEYASLBLQE3QUFBSwFUgV3BZsFvwXiBgUGKAZLBm4Gkga1BtkG/QchB0QHZweJB6oHygfoCAUIIQg8CFUIbgiGCJ4ItQjNCOQI/AkVCS0JRglfCXgJkQmqCcIJ2QnvCgQKGAorCjwKTApbCmkKdgqCCo0KmAqjCq0KuArCCswK1grgCuoK9Qr/CwkLEwseCykLNAs/C0sLWAtlC3MLgQuRC6ELsQvCC9ML5Av0DAUMFQwlDDUMRAxSDGAMbQx6DIcMlAyhDK4MvAzJDNcM5gz0DQMNEQ0gDS4NOw1IDVQNXw1qDXMNfA2EDYsNkg2ZDZ8NpQ2sDbMNug3CDcoN0g3bDeQN7Q33DgAOCQ4SDhsOIw4rDjMOOQ4/DkUOSg5ODlEOUw5VDlUOVA5SDk8OSg5DDjsOMA4kDhYOBQ3zDd8NyQ2xDZgNfg1iDUYNKg0MDO8M0gy2DJoMfgxjDEkMMAwXDAAL6QvTC70LqAuUC4ELbgtdC0wLPQswCyMLGgsSCwwLCQsJCwsLEQsYCyILLgs7C0oLWgtqC3kLiAuXC6QLsAu6C8ILyQvPC9ML1gvZC9wL3gvhC+UL6gvwC/cL/wwJDBQMIAwtDDwMSwxbDGwMfgyRDKUMuwzTDOwNBw0jDUINYQ2CDaQNxg3nDgcOJQ5BDlgObA58DoYOjA6MDocOfg5wDmAOTQ45DiQOEA3+De0N4A3XDdENzw3RDdcN3w3rDfgOBw4WDmYOeg6NDp8Orw69DskO0w7bDuIO5g7qDu0O7w7xDvQO9g75Dv0PAQ8FDwkPDQ8RDxQPGA8aDxwPHg8fDx8PHw8eDxwPGg8XDxIPDA8EDvsO7w7hDtAOvQ6nDo4Ocw5XDjkOGg38Dd4Nwg2pDZINfg1uDWINWQ1TDU8NTg1NDU0NTA1KDUUNPg0zDSQNEQz7DOEMxQymDIYMZAxDDCIMAgvjC8cLrAuSC3sLZAtOCzgLIgsMCvUK3QrECqoKjwp0ClgKPQoiCggJ7wnYCcMJsAmeCY4JfwlwCWIJVAlGCTYJJgkUCQEI7QjYCMIIrAiVCH8IaQhUCEAILAgbCAoH+gfrB9wHzge/B7EHogeTB4MHcwdjB1IHQQcxByEHEgcDBvYG6QbeBtMGyAa+BrQGqgafBpMGhQZ3BmcGVgZDBjAGHAYHBfIF3gXKBbgFpwWXBYoFfQVzBWkFYgVbBVQFTgVIBUIFOwUzBSoFIAUUBQgE+gTrBNsEygS4BKcElQSCBHAEXgRNBDsEKgQaBAoD+gPqA9sDzAO9A64DoAORA4MDdgNpA1wDTwNDAzgDLQMiAxgDDgMFAvwC9ALsAuMC2wLSAsoCwQK4Aq4CpAKaApAChgJ8AnICaQJhAlgCUQJKAkQCPgI4AjICLAIlAh0CFQIKAf8B8QHiAdIBwAGtAZkBhAFwAVwBSgE4ASgBGgEOAQQA+wD1AO8A6wDnAOMA3wDaANUAzgDGAL0AswCoAJwAkACFAHkAbgBlAFwAVQBPAEsARwBFAEMAQgBBAEAAPgA8ADkANgAyAC4AKQAjAB4AGAATAA4ACgAGAAL////8//n/9v/z/+//6//n/+H/3P/W/9D/yf/D/7z/t/+x/63/qf+m/6T/ov+i/6H/of+h/6H/oP+f/53/m/+X/5P/j/+K/4T/f/95/3T/b/9q/2b/Y/9g/17/Xf9c/1z/XP9c/1z/XP9b/1r/WP9W/1P/T/9L/0b/Qf87/zX/L/8o/yL/G/8V/w//CP8B/vv+9P7t/ub+3/7Y/tH+y/7G/sL+wP6//sD+xP7K/tP+3v7t/v3/EP8l/zz/U/9q/4L/mP+u/8H/0v/h/+3/9v/9AAEABAAEAAQAAgAA/////v/+//8AAgAGAAsAEQAYAB8AJwAtADMANwA5ADgANQAuACUAFwAH//T/3//H/63/k/94/17/RP8s/xb/A/7z/ub+3f7X/tT+1P7X/tz+4v7q/vL++f8A/wb/C/8N/w7/Df8K/wf/Af78/vb+8f7s/uj+5f7j/uP+5f7n/uv+7/70/vj+/f8B/wT/B/8J/wr/Cv8K/wn/CP8H/wb/Bv8G/wf/CP8L/w3/Ef8U/xj/HP8f/yL/Jf8o/yr/Lf8v/zL/Nf85/z7/RP9L/1P/Xf9p/3X/gv+Q/5//rf+7/8j/1P/e/+f/7v/z//f/+f/6//r/+v/5//n/+//9AAIACQATAB8ALQA+AFIAZgB9AJMAqgC/ANQA5wD3AQQBDwEWARoBHAEbARkBFAEPAQoBBQEAAP0A+wD7APwA/gECAQcBDAESARgBHQEhASUBJwEnAScBJQEiAR4BGgEWAREBDQEJAQUBAgEAAP4A/AD7APoA+QD4APgA9wD2APUA9AD0APQA9QD2APkA/QECAQkBEAEYASEBKwE1AT4BRwFQAVcBXAFgAWIBYgFfAVsBVAFMAUIBNwErAR4BEQEEAPgA7QDiANoA0wDOAMsAygDKAMwA0ADUANgA3QDhAOQA5QDlAOIA3QDWAMwAwACyAKIAkQCAAG8AXwBRAEQAOQAyAC4ALAAuADIAOQBCAEwAVwBiAGwAdgB+AIUAigCNAI4AjgCNAIsAiQCIAIcAhwCJAIwAkgCZAKIArAC4AMQA0ADdAOkA9AD+AQcBDwEVARoBHgEhASQBJwEqASwBMAEzATcBPAFAAUUBSgFOAVEBVAFVAVYBVQFSAU8BSgFFAT4BOAExASoBJAEeARkBFAEQAQwBCQEHAQUBAwEBAQAA/gD9APwA/AD8APwA/gEAAQMBCAENARQBGwEjASwBNQE+AUcBTwFXAV0BYwFnAWkBawFrAWkBZwFkAWABXAFXAVIBTQFIAUIBOwE0ASsBIQEVAQgA+ADmANEAuwCiAIgAbABPADIAFv/7/+H/yf+0/6L/kv+G/33/dv9y/3D/bv9u/23/bP9q/2f/Yv9c/1T/S/9B/zb/K/8h/xj/EP8K/wb/A/8C/wP/Bv8J/w3/Ef8U/xf/GP8X/xX/Ef8K/wL++f7v/uT+2f7N/sP+uf6w/qj+ov6d/pn+lv6T/pH+kP6O/oz+iv6I/oX+gf5+/nr+dv5y/m/+a/5p/mb+ZP5j/mL+Yf5g/l/+Xf5c/lr+V/5U/lD+TP5H/kP+Pv46/jb+Mv4u/iz+Kv4o/ij+J/4n/ij+Kf4q/iv+LP4u/jD+Mv41/jj+O/5A/kT+Sv5Q/lb+XP5j/mn+b/50/nn+fP5+/n7+fv58/nr+dv5z/m/+bP5q/mn+av5s/nH+d/6A/ov+l/6l/rP+w/7T/uL+8v8A/w7/Gv8l/zD/Of9C/0v/U/9b/2P/bP91/37/iP+S/5z/pf+v/7f/vv/E/8j/y//L/8r/x//C/7z/tf+t/6T/m/+R/4j/gP94/3H/a/9m/2H/Xf9a/1j/Vv9U/1P/Uf9Q/0//Tv9N/0z/TP9M/0z/Tf9P/1P/V/9d/2T/bP92/4L/jv+b/6n/tv/E/9L/3v/q//P/+wAAAAQABQADAAD/+//1/+3/5v/f/9n/1P/Q/8//0P/T/9j/3//o//L//QAIABMAHQAmAC4ANQA6AD8ARABJAE4AVQBfAGwAfACPAKcAwwDiAQQBKQFOAXMBmAG5AdgB8QIGAhQCHAIdAhkCDwIAAe4B2QHCAawBlwGEAXUBagFjAWEBZAFsAXkBigGfAbYB0QHtAgsCKwJLAmwCjgKxAtUC+QMeA0QDawOSA7gD3gQEBCcESQRnBIEElwSoBLQEuwS7BLYErASdBIkEcQRWBDkEGQP5A9kDugObA38DZANNAzgDJgMYAw4DBwMFAwYDCwMUAyEDMgNHA2ADfQOcA78D5QQNBDcEYgSOBLsE6AUUBT8FaQWSBbkF3wYEBiYGSAZpBokGqAbIBucHBwcnB0cHZweIB6kHyQfpCAkIKAhFCGIIfQiWCK8IxgjcCPEJBQkZCSwJQAlUCWgJfQmSCagJvgnUCeoJ/woUCicKOgpLClsKagp3CoIKjQqWCp8KpwqvCrYKvgrGCs8K1wrhCusK9QsACwsLFgsiCy0LOAtEC08LWwtmC3ILfQuJC5ULoQuuC7sLyAvUC+EL7gv7DAgMFAwhDC0MOgxGDFIMXwxsDHoMiAyWDKYMtQzFDNUM5gz2DQYNFQ0jDTANPA1GDU8NVw1eDWQNaQ1uDXINdw18DYINiQ2SDZsNpg2xDb4NzA3bDeoN+Q4IDhYOJQ4yDj4OSg5UDl4OZg5tDnMOdw57Dn4OgA6BDoAOfw58DncOcQ5qDmAOVA5HDjcOJQ4SDfwN5Q3LDbENlQ14DVsNPQ0fDQAM4gzEDKcMigxuDFIMNwwdDAML6gvSC7oLoguMC3ULYAtMCzkLKAsZCwwLAQr5CvQK8wr0CvkLAQsLCxgLJws4C0oLXAttC38LjwudC6kLtAu8C8ILxwvKC80LzwvRC9QL2AveC+UL7gv5DAUMEwwiDDIMQgxSDGIMcQx/DIwMmQymDLIMvwzODN4M8A0FDR4NOQ1XDXkNnQ3CDegODw40DlcOdg6RDqcOtw7BDsUOwg66Dq0OnA6IDnIOWw5FDjEOIA4SDgkOBA4EDggOEQ4dDiwOPg5SDpUOqQ6+DtIO5g74DwkPFw8lDzAPOg9CD0kPTw9TD1YPWA9YD1gPVw9UD1EPTA9HD0EPOw81Dy8PKQ8kDyAPHA8aDxgPFw8WDxUPFA8QDwsPAw73DugO1A68DqAOfw5bDjQODA3iDbkNkA1rDUgNKg0RDPwM7QzjDN0M3AzcDN8M4wzlDOcM5gzhDNoMzgy+DKsMlAx7DGAMRAwoDAwL8QvXC78LqAuTC4ALbQtaC0cLMwseCwgK8ArVCrkKnAp+Cl8KQAohCgMJ5wnNCbUJnwmKCXgJZwlXCUcJNwknCRYJBAjwCNsIxQitCJUIfAhiCEoIMggbCAUH8QfeB8wHvAeuB58HkgeFB3gHagddB08HQQczByQHFgcIBvoG7QbgBtQGyQa+BrQGqgagBpUGigZ9Bm8GYAZQBj4GKwYWBgEF7AXXBcEFrQWZBYcFdgVnBVkFTQVCBTgFLwUnBR8FFwUOBQUE+wTwBOQE2ATKBLsErASdBIwEfARrBFsESgQ6BCkEGQQKA/oD6gPbA8wDvQOtA54DjwOAA3EDYwNUA0UDNwMpAxsDDgMAAvQC5wLcAtACxQK7ArACpwKeApUCjAKDAnsCcwJrAmMCWwJTAksCQwI7AjMCLAIlAh4CGAISAgwCBwIBAfwB9gHvAegB3wHWAcoBvQGvAZ8BjQF7AWgBVAFAAS0BGgEJAPkA6wDeANQAywDDALwAtwCyAKwApwCgAJkAkACHAHwAcABjAFYASQA8ADAAJQAaABIACwAFAAH//v/8//v/+v/6//n/+P/3//T/8v/u/+r/5f/g/9v/1v/S/83/yf/F/8L/v/+8/7n/tv+z/7D/rP+o/6P/nv+Y/5L/jP+F/3//ef9z/23/aP9i/17/Wf9V/1H/Tf9J/0X/Qv8+/zr/Nv8y/y7/K/8o/yb/JP8j/yL/Iv8i/yP/JP8m/yj/Kf8r/yz/Lf8t/yz/K/8p/yb/Iv8d/xf/Ef8K/wP++/7z/ur+4v7Z/tH+yf7A/rj+sP6o/p/+l/6O/oX+ff50/mz+ZP5d/lf+Uv5Q/lD+U/5Y/mH+bf59/o/+pf69/tj+9P8Q/y3/Sf9j/3v/kf+j/7L/vf/F/8r/y//L/8j/xP/A/7z/uf+3/7b/uP+8/8L/yv/T/93/6P/z//0ABgANABEAEwASAA0ABv/7/+3/3f/L/7f/ov+N/3n/Zf9T/0P/Nf8q/yL/HP8a/xn/Gv8d/yH/Jf8p/yz/Lv8u/y3/Kf8k/xz/E/8I/v3+8f7l/tv+0f7J/sP+v/6+/r/+wf7G/s3+1P7d/ub+7/74/wD/CP8O/xT/Gv8e/yL/Jf8o/yr/K/8s/y3/Lf8t/yz/Kv8o/yX/I/8f/xz/Gv8Y/xf/GP8b/yD/J/8w/zz/Sv9a/2z/gP+U/6r/v//U/+n//AAOAB8ALgA6AEYATwBYAF8AZQBrAHEAdgB8AIIAigCSAJoAowCuALgAwwDOANgA4wDsAPQA+wEAAQQBBgEFAQMBAAD7APUA7gDnAOAA2QDUANAAzQDMAM0AzwDTANgA3gDlAOwA8wD5AP8BBAEIAQwBDgEPAREBEgETARQBFgEYARwBHwEjASgBLAEwATQBNgE2ATUBMwEvASkBIQEZARABBwD+APYA8ADrAOkA6ADqAO4A9AD8AQYBEAEbASYBMAE5AUEBRwFLAU4BTgFMAUkBQwE9ATUBLAEjARoBEQEIAQAA+QD0AO8A7ADrAOsA7QDwAPQA+gEBAQgBEAEXAR4BJAEpASwBLQErASgBIQEZAQ8BAwD1AOcA2QDLAL0AsgCoAKEAnACaAJoAnQChAKcArgC1ALwAwgDHAMoAywDKAMcAwQC7ALIAqgCiAJoAkwCOAIwAjACOAJQAnACmALIAwADOAN0A6wD5AQUBEAEZASABJQEoASkBKgEpAScBJQEjASEBIAEfAR4BHgEeAR8BIAEgASEBIQEhASEBIAEeARwBGQEWARMBEAEMAQkBBgEDAQAA/QD7APkA+AD3APcA9wD4APsA/gECAQcBDQEUARwBJQEvATkBRAFPAVoBZAFuAXcBfwGFAYoBjgGQAZEBkAGNAYoBhQGAAXkBcgFqAWIBWgFRAUcBPAExASQBFgEGAPQA4ADLALMAmgB/AGQASAAsABD/9v/e/8j/tf+m/5n/kf+L/4n/if+L/47/kv+V/5f/l/+U/4//iP99/3D/YP9P/z3/K/8Z/wj++v7t/uT+3f7a/tn+2v7e/uL+6P7t/vL+9v74/vj+9f7x/ur+4v7Y/sz+wf60/qj+nf6S/on+gf56/nT+b/5q/mf+ZP5h/l7+Wv5X/lT+UP5M/kn+Rf5C/j/+PP46/jj+N/42/jX+NP4z/jL+MP4u/iv+J/4i/h3+F/4R/gv+Bf3//fr99f3x/e797P3q/er96/3s/e/98f31/fn9/f4B/gb+C/4R/hf+Hf4k/iv+M/47/kT+TP5U/lz+Y/5q/nD+dP53/nr+ev56/nn+eP52/nX+dP50/nX+eP58/oL+iv6T/p3+qf61/sL+zv7a/uX+8P74/wD/Bv8L/xD/E/8W/xn/Hf8h/yb/LP8y/zr/Qv9L/1T/Xf9l/23/c/94/3z/ff99/3z/eP90/27/aP9h/1v/VP9N/0f/Qf88/zj/NP8w/y3/Kv8m/yP/IP8c/xj/FP8Q/wz/Cf8G/wP/Af8A/wD/Af8D/wb/C/8Q/xb/Hf8l/y3/Nv8+/0f/UP9Y/1//Zv9r/2//cv90/3T/c/9x/23/av9l/2H/Xf9a/1n/Wf9a/17/ZP9t/3f/g/+Q/5//rf+8/8n/1v/h/+r/8f/2//r//P/+AAAAAwAHAA0AFgAiADIARQBbAHQAjwCrAMgA4wD9ARQBJwE1AT8BRAFEAUABOAEtASABEgEFAPkA8QDsAOsA7wD4AQYBGQExAUwBagGKAawBzwHzAhYCOQJbAn0CnwLAAuIDBAMmA0kDbQOSA7cD3AQABCMERQRkBH8ElwSqBLgEwQTEBMIEugSuBJwEhwRuBFMENwQZA/wD4APFA6wDlwOFA3cDbQNoA2cDawN0A4EDlAOrA8YD5QQIBC4EVwSCBK8E3QUMBTsFagWYBcQF7wYYBj8GZAaGBqcGxQbiBv4HGAcyB0wHZQd/B5oHtQfRB+0ICwgpCEcIZQiDCKEIvgjaCPQJDgkmCT0JUwlnCXsJjQmfCbEJwwnUCeYJ+AoJChwKLQo/ClAKYQpxCoAKjQqaCqUKrwq5CsEKyArPCtYK3ArjCusK8wr8CwULEAsbCyYLMws/C0wLWAtlC3ELfQuIC5MLnQunC7ALugvDC8wL1QveC+cL8Qv6DAMMDQwWDCAMKgw0DD4MSAxTDF4Magx2DIMMkQygDK8MvwzPDN8M7gz+DQwNGg0mDTENOw1DDUoNUA1UDVgNXA1gDWQNaQ1vDXYNfw2JDZYNpA2zDcQN1Q3nDfoODQ4fDjEOQg5SDmEObw57DoYOkA6ZDqAOpw6sDrAOsw61DrUOtA6xDqwOpg6eDpMOhg54DmcOVA5ADioOEg35Dd8NxA2pDYwNcA1TDTcNGgz9DOEMxAyoDIsMbwxSDDYMGgv9C+ELxgurC5ALdwtfC0kLNQskCxULCgsCCv4K/QsACwcLEgsfCy8LQAtTC2cLeguMC50LrAu4C8ELyAvNC88L0AvQC9AL0QvSC9YL3AvmC/IMAgwVDCoMQQxaDHIMiwyiDLgMywzbDOkM9Az9DQQNCw0RDRkNIw0wDUENVQ1vDY0Nrw3UDfwOJg5QDnkOnw7BDt8O9w8HDxIPFQ8RDwcO+Q7lDs8Otw6fDogOcw5hDlMOSg5FDkUOSg5SDl8Obw6BDsIO0A7fDu4O/g8ODx0PLQ88D0oPWA9mD3IPfQ+HD5APlg+aD5wPmw+YD5IPig+AD3QPZw9aD00PQA81DysPJA8eDxsPGg8aDxsPHQ8dDx0PGQ8SDwYO9g7gDsQOpA5+DlQOJg33DcYNlg1oDT0NFgzzDNcMvwyuDKIMmgyXDJUMlgyWDJYMlAyQDIgMfgxvDF4MSgw0DBwMBAvsC9YLwAutC5wLjAt/C3ILZgtaC00LPwsvCxwLBgruCtMKtQqWCnUKVAoyChEJ8gnUCbgJnQmGCW8JWwlHCTQJIQkOCPsI5gjQCLkIoQiJCG8IVgg9CCUIDQf3B+IHzwe9B60HngeQB4MHdgdqB10HUQdDBzUHJwcZBwoG/AbtBt8G0gbFBrgGrAagBpQGiAZ8BnAGYgZUBkQGMwYhBg8F+wXmBdIFvQWpBZUFggVwBWAFUQVDBTYFKwUgBRYFDAUCBPgE7QThBNUEyAS6BKwEnQSNBH0EbQRdBE0EPQQuBB8EEAQCA/QD5gPYA8kDuwOtA54DjwOAA3EDYQNSA0MDNAMlAxYDCAL6Au0C4ALTAscCuwKvAqQCmgKPAoYCfAJzAmoCYgJZAlECSQJAAjgCLwInAh0CFAIKAgEB9wHtAeQB2gHRAckBwQG5AbIBqwGkAZ0BlQGNAYQBewFwAWQBVgFIATkBKQEYAQgA9wDnANgAyQC8AK8ApACaAJEAiAB/AHcAbgBlAFwAUQBGADoALgAhABQAB//6/+7/4//Z/9D/yP/B/7z/t/+0/7H/r/+s/6r/qP+m/6P/of+e/5z/mf+W/5T/kf+P/43/i/+J/4f/hP+B/37/ev92/3H/a/9l/1//WP9R/0r/RP89/zf/Mf8r/yX/IP8a/xX/D/8J/wL+/P71/u3+5v7f/tj+0v7M/sf+w/7A/r7+vf69/r7+wP7C/sT+x/7K/sz+zv7P/tD+0P7Q/s/+zf7K/sj+xP7A/rz+uP6z/q7+qf6j/p3+mP6S/oz+hf5//nn+cv5r/mX+Xf5W/k7+R/4//jf+L/4o/iH+G/4X/hT+E/4V/hn+If4r/jn+Sv5e/nT+jf6m/sH+3P72/w//J/88/07/Xf9p/3L/ef99/3//gP+A/4D/gP+B/4P/hv+L/5H/mP+g/6j/sf+6/8H/x//M/8//z//O/8r/xP+8/7P/qP+d/5H/hf96/3D/Zv9f/1n/VP9S/1H/Uf9T/1b/Wf9b/17/X/9f/13/Wf9T/0r/QP8z/yX/Ff8F/vX+5f7X/sr+v/63/rH+r/6v/rL+t/6//sj+0v7d/un+9P7//wn/Ev8b/yP/Kv8w/zX/Of89/0D/Qv9E/0T/RP9C/z//PP84/zP/Lv8p/yX/Iv8h/yL/Jv8t/zf/Rf9W/2r/gP+Y/7L/zP/nAAEAGQAwAEUAVwBnAHUAgQCLAJQAnACkAKsAswC8AMUAzgDYAOMA7gD5AQMBDQEVARwBIgElASYBJgEjAR8BGQERAQcA/QDzAOgA3ADSAMgAvwC4ALIArgCsAKwArgCxALYAvADCAMkA0ADXAN0A4gDmAOkA6wDrAOwA7ADsAO0A7wDyAPcA/gEGARABGwEnATMBPwFKAVMBWgFeAV8BXQFYAVABRQE5ASsBHgEQAQQA+QDxAOwA6gDqAO4A9AD8AQYBEQEcAScBMQE6AUIBSAFLAU4BTgFNAUsBRwFDAT8BOgE2ATIBLgEqAScBJAEhAR8BHgEcARwBGwEcAR0BHwEiASYBKgEwATUBOwFCAUgBTQFSAVYBWAFYAVcBVAFQAUkBQgE5ATABJwEeARUBDgEIAQMBAAD/AP4A/wEAAQEBAgECAQEA/gD6APMA6wDhANYAywC/ALMAqQChAJsAmACYAJsAogCrALcAxgDWAOYA9wEIARcBJAEvATcBPAE/AT8BPAE4ATEBKgEhARkBEQEJAQIA/AD4APQA8gDxAPEA8gD0APUA9wD5APsA/AD9AP0A/QD8APoA+AD2APQA8QDvAO0A7ADsAO0A7gDxAPYA/AEDAQsBFQEgASsBNwFDAVABWwFnAXEBewGDAYoBjwGTAZUBlQGUAZEBjQGHAYABeAFvAWUBWwFQAUQBOAEsAR8BEQEDAPUA5QDVAMQAsQCeAIoAdABfAEkAMwAeAAr/9//n/9j/zf/E/77/u/+7/73/wP/E/8j/zP/O/87/y//F/7z/r/+e/4v/df9d/0X/Lf8W/wH+7/7g/tT+zP7I/sj+yv7P/tX+3f7k/uv+8P7z/vX+8/7v/un+4f7W/sr+vv6w/qP+lv6K/n7+dP5q/mL+Wv5T/k3+R/5B/jz+N/4x/iz+J/4i/h7+Gv4W/hP+EP4N/gz+Cv4J/gf+Bv4E/gL9//38/fj98/3u/ej94v3c/db90P3L/cb9w/3A/b79vv2+/b/9wv3F/cn9zv3T/dj93v3k/er98P33/f7+Bf4N/hT+Hf4l/i7+N/5B/kr+U/5c/mT+bP5z/nn+fv6D/of+iv6O/pH+lf6Y/p3+ov6o/q/+tv6+/sb+zv7W/t3+4/7o/uv+7f7u/u7+7P7q/uj+5f7j/uL+4/7k/uf+7P7y/vr/A/8M/xb/H/8o/zD/N/88/z//Qf9B/z//PP84/zT/L/8q/yX/IP8b/xf/E/8Q/wz/CP8E/v/++f7z/uz+5P7b/tL+yf7A/rj+sP6q/qT+oP6e/p7+n/6i/qb+q/6x/rj+v/7F/sz+0v7Y/t3+4f7l/uj+6v7r/uv+6/7q/un+5/7k/uL+3/7d/tv+2f7Z/tn+3P7g/uf+8P77/wn/Gf8r/z7/Uv9n/3v/j/+i/7L/wP/L/9T/2v/d/97/3v/d/9z/2//a/9z/3//k/+r/8//9AAgAFAAfACoANAA8AEIARwBJAEsASwBLAEwATgBSAFkAYwByAIUAnAC3ANYA+AEdAUQBbAGVAb0B5AIKAi0CUAJwApACrgLLAucDBAMhAz8DXQN7A5sDuQPYA/UEEQQqBEEEUwRiBGwEcgRzBHAEaARcBE0EOwQoBBID/APnA9IDvgOtA58DlAOMA4kDigOPA5oDqAO8A9QD8QQRBDUEXQSIBLQE4wUTBUMFdAWkBdMGAAYsBlYGfQaiBsUG5QcDByAHOgdUB2wHhAebB7IHygfiB/sIFQgvCEsIZwiDCKAIvQjaCPcJEwkvCUkJYwl7CZIJqAm9CdEJ5An2CgcKGAooCjkKSQpZCmkKeQqICpgKpgq1CsIKzwrbCuYK8Qr6CwMLDAsUCxwLJQstCzYLPwtJC1MLXQtoC3MLfguJC5QLnwupC7ILuwvDC8sL0gvZC+AL5wvuC/QL/AwDDAsMEwwbDCQMLQw2DEAMSQxTDF0MZwxxDHwMhwySDJ4Mqgy3DMQM0QzfDOwM+Q0GDRINHQ0oDTENOQ1BDUcNTQ1TDVgNXg1jDWoNcQ15DYMNjg2aDacNtg3GDdYN5w34DgoOGw4sDjwOTA5bDmoOeA6FDpIOnw6qDrYOwQ7LDtQO3A7jDugO7A7tDu0O6Q7kDtwO0Q7EDrUOpA6RDnwOZg5PDjcOHw4GDewN0w25DZ4Ngw1oDUwNLw0SDPMM1Ay0DJQMcwxSDDEMEAvwC9ELswuXC34LaAtUC0ULOQsxCy4LLgsyCzsLRgtUC2ULdguIC5sLrAu7C8kL0wvbC+AL4QvhC94L2wvXC9QL0gvUC9kL4gvwDAIMGQw0DFMMdQyYDLsM3gz/DR4NOQ1QDWINcQ18DYQNig2PDZQNmw2kDbANwA3VDe8ODQ4uDlMOeQ6gDscO6w8LDygPPg9PD1kPXQ9aD1IPRA8zDyAPCg70Dt8Oyw66DqsOoQ6aDpYOlw6aDqEOqg61DwkPDA8PDxMPFw8cDyMPKw80Dz8PTA9ZD2gPdg+FD5IPng+oD68Psw+0D7EPqw+iD5YPiQ96D2sPXA9OD0IPOA8xDywPKg8qDywPLg8xDzIPMg8vDycPGw8JDvIO1Q6yDosOXw4wDf8Nzg2dDW4NQg0aDPYM1wy+DKkMmAyLDIAMeAxwDGgMXwxUDEcMOAwnDBQL/wvqC9QLvwusC5sLiwt/C3ULbQtnC2ILXQtYC1ILSQs+Cy8LHQsHCu4K0gqzCpEKbwpMCikKBwnmCccJqgmPCXUJXQlGCTAJGgkECO4I2AjACKgIjwh2CF0IRAgsCBQH/QfoB9QHwQewB6AHkAeCB3QHZgdYB0oHPActBx4HDwb/Bu8G4AbRBsIGswalBpcGigZ9BnAGYgZUBkYGNgYmBhUGBAXxBd4FygW2BaIFjwV8BWkFWAVIBTkFLAUfBRMFCAT9BPIE6ATdBNEExQS4BKsEnQSOBH8EbwRfBFAEQAQxBCIEFAQFA/gD6gPdA9ADwwO1A6gDmgOLA30DbgNfA08DQAMxAyIDFAMGAvkC7QLgAtUCygLAArUCrAKiApgCjwKGAnwCcwJpAmACVgJMAkECNgIrAiACFAIHAfoB7QHfAdABwgG0AaYBmAGLAX8BdAFqAWEBWAFRAUsBRQE/AToBNAEuAScBHwEWAQsBAAD0AOYA2ADKALsArQCeAI8AggB0AGcAWgBOAEMANwArACAAFAAI//3/8f/l/9r/z//E/7r/sP+n/57/lv+P/4j/gf97/3b/cP9r/2f/Yv9e/1v/WP9W/1T/U/9S/1L/Uv9S/1L/Uv9R/0//TP9H/0L/O/8z/yr/IP8V/wv/AP72/uz+5P7c/tX+z/7K/sX+wf68/rj+s/6u/qj+of6Z/pL+iv6B/nr+cv5r/mb+Yf5e/lz+Wv5a/lv+XP5e/mD+Yf5i/mP+ZP5k/mP+Yv5h/mD+X/5f/l7+Xv5e/l7+X/5f/mD+X/5f/l3+W/5Y/lT+UP5K/kX+P/44/jL+K/4k/h7+F/4R/gv+Bv4A/fv99/3z/fD97v3u/e/98v34/gD+C/4Y/if+Of5M/mL+eP6O/qX+uv7P/uP+9P8E/xL/Hv8o/zH/Of8//0X/S/9R/1f/Xf9j/2n/b/91/3r/f/+C/4T/hf+E/4L/fv96/3X/bv9o/2L/XP9X/1L/Tv9M/0r/Sv9L/03/UP9T/1f/XP9g/2P/Z/9p/2r/af9n/2P/Xv9W/03/Qf81/yf/Gf8L/v3+8f7l/tz+1f7Q/s7+z/7S/tj+4P7o/vP+/f8I/xL/G/8k/yv/Mf82/zr/Pf9A/0L/RP9F/0b/R/9H/0f/R/9G/0X/Q/9B/z//Pf88/z3/QP9F/0z/V/9m/3j/jf+l/8D/3f/6ABgANQBQAGkAfwCSAKEArQC2AL0AwQDEAMYAyADKAM0A0gDYAOAA6QDzAP0BBwERARoBIQElASgBKAEmASIBGwESAQgA/QDyAOYA2gDPAMQAuwCyAKwApwCjAKEAoQCjAKUAqgCvALQAuwDBAMcAzADRANQA1QDWANUA0wDPAMwAyADFAMIAwgDDAMYAzADUAN8A6wD5AQcBFQEjAS4BOAE/AUIBQwFAAToBMQEnARwBEAEFAPsA8wDtAOoA6gDtAPMA+gEEAQ8BGgElATABOQFBAUgBTQFQAVIBUgFSAVEBUAFPAU8BTwFPAVABUQFSAVMBVAFUAVQBUwFSAVABTQFJAUYBQgE/AT0BPAE8AT0BQAFEAUkBTwFWAV4BZQFrAXEBdQF4AXkBeAF1AXABagFjAVoBUgFJAUEBOQEzAS0BKAElASIBIAEeARsBGAEUAQ4BCAEAAPYA7ADhANYAzADDALwAtwC1ALYAuwDCAM0A2gDpAPoBCwEcASwBOgFHAVABVgFZAVgBVQFPAUcBPQExASUBGQEOAQMA+gDyAOwA6ADlAOMA4wDkAOYA6ADqAOwA7QDuAO4A7QDsAOkA5gDjAN8A3ADZANYA1QDVANcA2gDfAOYA7gD4AQQBEAEdASsBOAFGAVIBXQFoAXEBeAF+AYIBhQGGAYYBhAGBAX0BeAFyAWsBYwFaAVABRQE6AS4BIgEVAQgA+wDuAOAA0gDEALYAqACZAIoAewBsAF0ATQA+ADAAIwAWAAwAA//8//b/8//x//D/8P/x//D/7//s/+f/3//U/8b/tf+i/4z/dP9c/0P/K/8W/wL+8v7l/tz+1/7V/tb+2f7f/uX+7P7y/vf++v77/vr+9v7w/uj+3f7R/sX+t/6p/pz+j/6C/nf+bP5i/lj+T/5H/j/+N/4w/ij+If4a/hP+Df4H/gL9/f35/fb98v3w/e796/3p/ef95P3h/d792v3W/dH9zP3G/cH9vP23/bL9rv2q/aj9pv2l/aX9pf2n/an9rP2v/bP9t/27/b/9xP3I/c390v3X/dz94v3o/fD9+P4B/gv+Ff4h/i3+O/5I/lb+ZP5y/oD+jf6a/qb+sf67/sX+zv7W/t7+5f7r/vD+9f75/vv+/f79/vv++f70/u/+5/7f/tf+zf7E/rz+tP6u/qr+p/6n/qr+rv60/rz+xf7O/tj+4f7q/vH+9/77/v3+/f78/vr+9/7z/u7+6v7l/uH+3v7b/tj+1v7T/tD+zP7H/sH+uf6w/qb+mv6O/oH+dP5n/lz+Uf5J/kL+Pf47/jv+Pf5B/kf+Tf5U/lz+Y/5q/nD+df56/n3+gP6B/oP+g/6D/oP+g/6D/oP+gv6C/oH+gP5+/n3+e/56/nr+ev58/n/+hf6N/pj+p/64/sz+4/79/xf/M/9O/2n/gf+X/6r/uf/E/8v/zv/N/8n/wv+5/7D/pf+c/5L/i/+E/4D/fv99/37/gf+F/4r/kP+Y/6H/q/+2/8T/1f/o//4AFwA0AFQAdwCdAMUA7gEZAUQBbgGYAcAB5gIKAiwCSwJpAoUCoQK7AtUC7wMJAyQDPwNaA3UDjwOpA8AD1gPpA/gEBAQMBBAEEAQMBAUD+wPuA98DzwO+A60DnQONA4ADdANrA2UDYgNiA2YDbgN6A4oDngO2A9ID8gQUBDoEYwSOBLoE6AUWBUUFcwWgBc0F9wYgBkgGbQaRBrMG0wbxBw8HKwdHB2IHfQeXB7IHzAfnCAEIHAg3CFMIbgiKCKYIwgjdCPkJFQkvCUoJYwl8CZQJrAnCCdcJ7AoAChMKJQo3CkkKWgpsCn0KjwqgCrEKwwrUCuUK9QsFCxQLIwsxCz4LSgtWC2ELbAt2C38LiAuRC5oLogurC7ILugvBC8gLzgvUC9kL3gvjC+cL6wvvC/ML+Av9DAIMCAwPDBcMHwwoDDEMOwxFDFAMWwxmDHEMfAyHDJIMnQypDLQMvwzKDNUM4AzqDPUNAA0KDRMNHQ0mDS8NNw0/DUcNTw1XDWANaQ1yDXwNhw2TDZ8NrA25DcgN1g3lDfQOAw4SDiAOLw49DksOWQ5nDnUOgw6RDqEOsA7ADtAO4Q7xDwEPEA8dDyoPNA87D0APQw9CDz4PNw8tDyEPEw8CDvAO3A7IDrIOnA6FDm4OVg49DiQOCQ3tDc8NsA2PDW0NSQ0jDPwM1QyuDIYMYAw7DBcL9wvZC74LqAuVC4cLfQt4C3cLeguBC4sLmAumC7YLxgvWC+UL8gv9DAQMCQwLDAoMBgwBC/oL8wvtC+kL5wvqC/EL/QwPDCcMRAxmDIwMtAzfDQoNNA1cDYENog2+DdYN6g35DgUODg4WDh0OJQ4vDjsOSw5eDnQOjg6qDsgO5w8FDyIPPQ9TD2YPdA99D4APfw96D3EPZg9YD0kPOw8tDyEPFg8NDwcPAg8ADv8O/w8ADwIPBQ8HD3MPbA9kD1sPUw9MD0cPRA9ED0cPTQ9WD2EPbQ97D4oPlw+jD64Ptg+6D7wPug+1D60Pow+XD4oPfg9xD2YPXA9UD08PTA9KD0oPSw9MD00PTA9JD0IPOA8pDxUO/A7fDrwOlg5tDkEOEw3lDbcNiw1iDToNFwz2DNkMwAyoDJQMgQxuDFwMSgw4DCQMEAv7C+ULzwu6C6YLlAuDC3YLawtiC10LWQtXC1YLVQtTC1ALSgtBCzULJQsRCvoK3wrBCqEKgApeCjwKGwn6CdsJvgmiCYcJbglWCT4JJgkPCPcI3wjGCK0Ikwh6CGAIRggtCBQH/QfmB9AHuweoB5UHggdxB18HTgc9BywHGwcLBvoG6gbaBsoGuwasBp0GjwaCBnQGZwZZBksGPQYvBh8GDwX+BewF2gXHBbQFoAWMBXkFZgVTBUEFMAUgBREFAwT1BOkE3ATQBMUEuQSuBKIElgSJBHwEbwRiBFMERQQ3BCkEGgQMA/4D8APjA9UDyAO6A60DnwORA4MDdQNmA1cDSAM6AysDHAMOAwAC8wLnAtsC0ALGAr0CswKqAqICmQKQAocCfgJ0AmoCXwJUAkgCPAIvAiICFQIHAfgB6QHaAcsBuwGrAZsBiwF8AWwBXgFQAUMBOAEuASUBHQEWAREBDAEIAQQBAQD9APkA9ADuAOcA3gDVAMoAvgCxAKMAlQCGAHYAZwBXAEcAOAApABkAC//9/+//4v/V/8n/vv+z/6n/oP+Y/5D/if+C/3z/dv9w/2r/Zf9f/1n/U/9O/0j/Q/8//zr/N/81/zP/Mv8y/zL/Mv8y/zL/Mf8u/yv/Jf8d/xT/Cf79/u/+4P7R/sL+s/6l/pj+jP6C/nr+c/5t/mj+ZP5h/l3+Wv5W/lH+S/5F/j/+OP4x/iv+JP4f/hv+F/4V/hT+FP4U/hX+F/4Y/hn+Gv4a/hr+Gf4Y/hf+Fv4V/hX+Fv4X/hn+HP4g/iT+KP4s/i/+Mf4z/jL+Mf4t/ij+Iv4a/hH+CP3//fb97v3m/d/92f3V/dH9zv3M/cr9yf3J/cn9yv3L/c390P3U/dr94v3r/fb+A/4S/iL+NP5G/ln+bP5//pH+ov6y/sL+0P7d/uj+8/7+/wf/Ef8Z/yL/Kf8x/zf/Pf9B/0T/Rv9G/0X/Q/9A/zz/OP80/zD/LP8q/yn/Kf8q/yz/MP80/zn/P/9E/0r/T/9T/1b/Wf9b/13/Xf9d/1z/W/9Z/1f/VP9R/03/Sf9E/z//Ov81/zH/Lf8q/yj/KP8p/yz/MP82/z3/Rf9O/1b/Xv9l/2v/b/9y/3P/cv9w/23/af9k/1//W/9X/1P/Uf9P/07/Tv9O/0//UP9S/1T/WP9d/2T/bf94/4f/mP+s/8T/3v/6ABgANwBWAHQAkACpAL8A0QDeAOcA7QDvAO0A6gDlAOAA2wDWANMA0gDSANMA1gDaAN4A4wDmAOkA6gDpAOcA5ADeANgA0QDJAMEAugCzAK4AqQClAKIAoACfAJ4AnwCfAKAAogCkAKYAqQCsALAAtAC4ALwAvwDCAMUAxgDFAMQAwQC9ALgAsgCtAKcAowCfAJ4AngChAKUArAC1AL8AyQDUAN4A5wDvAPQA+AD5APgA9QDxAOwA5wDiAN4A3ADbAN0A4ADmAO0A9gEAAQoBFAEeAScBLwE2ATsBPwFCAUQBRgFHAUkBSgFMAU8BUgFWAVoBXwFkAWgBbAFwAXIBcwFzAXIBcAFtAWkBZAFgAVsBVwFTAVEBUAFRAVMBVwFcAWIBaQFwAXcBfgGEAYgBigGKAYkBhQF/AXgBbwFmAVwBUgFJAUEBOgE0ATABLAEqASgBJgElASIBHgEaARMBDAEDAPoA8ADnAN4A2ADTANEA0QDVANsA5QDwAP4BDAEbASoBNwFCAUsBUgFVAVYBUwFOAUcBPQEzASgBHQESAQcA/gD3APAA7ADoAOYA5ADkAOQA5ADkAOMA4gDgAN0A2QDVANAAygDFAL8AuwC3ALQAswC0ALgAvQDEAM4A2QDmAPMBAgEQAR8BLQE5AUUBTgFWAV0BYgFlAWcBaAFpAWgBaAFmAWUBYwFgAV0BWQFVAU8BSQFBATkBLwElARsBDwEEAPgA7ADhANUAyQC9ALAApACXAIkAewBtAF4AUABCADQAKAAcABIACQAA//n/8//t/+f/4P/Y/8//xP+3/6j/l/+F/3H/Xf9J/zX/I/8U/wb+/P71/vH+7/7w/vP+9/78/wD/A/8F/wX/A/7+/vj+7/7k/tn+zP6//rH+pf6Y/o3+gv54/m/+Zv5d/lX+Tf5E/jv+M/4q/iH+GP4Q/gj+AP36/fT97/3q/ef94/3g/d392v3W/dL9zv3J/cT9vv25/bP9rf2o/aP9n/2b/Zn9l/2V/ZX9lf2V/Zb9mP2Z/Zv9nP2e/Z/9of2j/aT9pv2n/an9rP2v/bL9t/29/cT9zf3X/eP98v4C/hP+J/47/lH+Z/5+/pT+qv6+/tL+4/7z/wH/DP8V/xz/If8k/yX/I/8g/xv/FP8M/wL+9/7q/t3+zv7A/rL+pP6X/ov+gf55/nP+cP5v/nH+dP55/oD+iP6Q/pf+nv6k/qj+q/6s/qv+qf6l/qD+mv6U/o/+if6E/oD+fP55/nf+dP5x/m7+av5l/l7+Vv5M/kH+Nf4o/hv+Dv4B/fb97f3l/eD93v3d/eD95P3q/fL9+v4D/gv+E/4a/iD+Jf4o/iv+LP4t/i3+Lv4u/i/+MP4y/jT+Nv44/jr+O/48/jv+Ov44/jX+Mv4w/i7+Lv4w/jX+Pv5L/lz+cf6K/qb+xf7m/wf/KP9H/2P/e/+P/53/pv+p/6j/of+X/4r/e/9r/1v/TP8//zT/LP8n/yX/Jv8q/zH/O/9H/1b/Zv95/4//p//B/97//QAfAEMAaQCRALoA5AEOATgBYQGIAa0B0QHyAhECLwJKAmUCfgKXArACygLjAv0DGAMyA0sDZAN7A5EDowOyA74DxQPJA8kDxQO+A7QDqAOaA4oDewNrA1wDTwNDAzkDMQMsAykDKgMtAzQDPQNKA1sDbgOFA6ADvQPdBAAEJQRMBHUEnwTJBPQFHgVIBXEFmAW/BeUGCgYtBlAGcgaTBrQG1Qb1BxQHNAdTB3IHkAeuB8sH6AgECCAIOwhWCHAIiwilCMAI2gj0CQ0JJwlACVkJcgmJCaAJtgnMCeEJ9QoJChwKLwpCClYKagp9CpIKpgq7CtAK5Qr6Cw4LIQs0C0YLVgtlC3QLgAuMC5cLoQuqC7ILugvBC8gLzgvUC9kL3wvjC+gL7AvwC/ML9wv6C/0MAAwEDAgMDAwSDBcMHgwmDC4MNwxBDEwMWAxkDHAMfQyKDJgMpQyyDL8MywzXDOIM7Qz4DQINCw0UDR0NJQ0uDTYNPw1IDVENWw1lDXANfA2IDZUNow2yDcEN0A3gDfEOAQ4RDiEOMQ5BDlEOYA5vDn8Ojg6eDq4Ovg7QDuIO9A8HDxsPLw9DD1YPaA96D4kPlg+hD6gPrQ+vD60PqA+hD5YPig97D2sPWQ9GDzMPHw8KDvQO3Q7FDqsOjw5xDlEOLQ4HDd4Nsw2GDVcNJwz3DMgMmwxwDEgMJAwFC+oL1gvHC70LuQu6C78LyQvVC+QL9AwFDBYMJQwzDD8MRwxMDE4MTQxJDEIMOgwwDCcMHwwZDBcMGAwfDCsMPgxWDHQMlwy+DOkNFg1DDXENnA3FDesODA4oDkAOUw5jDnAOew6FDo4OmQ6lDrQOxQ7ZDu4PBg8fDzcPTw9kD3cPhw+SD5kPnA+bD5YPjg+FD3oPcA9mD14PWA9UD1QPVg9ZD18PZg9tD3MPeA97D30PfA94D94P1A/ID7sPrg+hD5cPjg+ID4YPhw+KD5EPmQ+jD60PuA/CD8oP0Q/VD9YP1Q/SD8wPxQ+8D7IPqA+eD5UPjQ+GD38Pew92D3MPcA9tD2kPZA9dD1QPSQ86DygPEw76Dt4Ovw6dDngOUg4rDgMN2g2yDYsNZQ1BDR4M/QzeDMAMowyIDG0MUww6DCAMCAvwC9gLwQusC5kLhwt4C2sLYQtYC1ILTgtLC0gLRQtCCz0LNgstCyALEQr/CukK0Qq3CpwKfwphCkQKJwoKCe4J1Am6CaEJiAlwCVgJQAkoCQ8I9gjcCMEIpwiMCHAIVQg7CCEIBwfuB9UHvQemB48HeAdiB00HOAckBxAG/QbrBtkGyAa4BqoGmwaNBoAGcwZnBloGTQY/BjIGIwYUBgQF8wXiBdAFvQWrBZgFhQVyBV4FTAU5BScFFQUEBPME4gTTBMMEtQSnBJkEjAR/BHMEZwRbBE4EQgQ2BCkEHAQPBAED8wPlA9YDxwO4A6oDmwOMA30DbgNgA1EDQwM1AyYDGAMKAvwC7wLiAtUCyQK9ArECpwKcApICiAJ/AnUCawJhAlcCTQJBAjYCKQIdAhACAgH0AeYB1wHIAboBqwGdAY4BgAFyAWUBVwFLAT4BMwEoAR0BFAELAQMA/AD2APAA6wDmAOIA3gDaANYA0QDMAMcAwAC5ALEAqACeAJMAhwB6AGwAXgBOAD4ALgAdAAv/+v/p/9j/yP+4/6n/nP+P/4T/e/9z/2z/Zv9h/17/W/9Y/1b/VP9S/0//Tf9K/0f/RP9B/z7/O/85/zb/NP8z/zH/L/8t/yr/J/8i/xv/E/8K/v7+8v7j/tT+w/6z/qL+kv6C/nP+Zv5a/lD+R/4//jj+Mv4t/ij+I/4e/hj+E/4N/gf+Af38/ff98/3v/e397P3r/ez97v3w/fL99P32/fj9+f36/fr9+v35/fj99/33/ff9+P36/fz9//4D/gf+C/4O/hH+Ev4S/hD+DP4G/f799f3q/d/91P3I/b79tP2r/aX9n/2b/Zn9mP2Y/Zj9mv2b/Z39n/2h/aT9qP2s/bH9uP3A/cr91f3i/fH+Af4R/iP+NP5F/lb+Zv51/oP+kP6c/qf+sf67/sX+zf7W/t/+5v7u/vX++v7//wL/BP8F/wX/BP8D/wH/AP8A/wH/A/8I/w3/Ff8e/yj/Mv89/0f/UP9X/13/Yf9j/2P/Yf9f/1v/V/9T/1D/Tv9N/07/UP9U/1n/Xv9l/2z/c/96/4H/h/+O/5T/mv+g/6b/rP+y/7n/v//F/8r/zv/Q/9H/0P/N/8j/wf+5/6//pf+a/5D/hv9+/3f/cf9u/2z/bP9t/3H/df96/4H/iP+R/5v/p/+1/8T/1v/rAAEAGgA1AFAAbQCIAKMAvADSAOUA8wD+AQUBBwEGAQIA+wDyAOkA3wDVAMsAwwC7ALUArwCqAKYAoQCcAJcAkgCMAIcAgQB8AHcAdABxAHEAcgB1AHkAfgCEAIoAjwCVAJkAnACeAJ8AnwCfAJ4AnQCcAJ0AngCgAKMApwCrALAAtAC4ALsAvAC8ALsAtwCyAK0ApgCgAJoAlQCSAI8AjwCRAJQAmQCfAKUArACzALkAvgDDAMcAyQDLAM0AzgDPANEA0wDVANkA3gDjAOkA7wD2AP0BBAEKARABFgEbASABJAEoASwBLwEzATcBOwFAAUQBSQFOAVMBVwFcAWEBZQFqAW0BcQFzAXUBdwF4AXgBeAF2AXQBcgFwAW0BawFqAWkBaAFpAWsBbwFzAXgBfQGCAYcBiwGOAY8BjwGMAYgBgQF5AXABZwFdAVMBSwFDAT0BOAE1ATIBMQEvAS4BLAEoASQBHgEXAQ4BBQD7APEA6ADhANsA2ADXANkA3gDlAO4A+AECAQ0BFwEgASYBKwEuAS4BLAEnASEBGgESAQoBAgD6APIA7ADnAOIA3wDcANoA2ADWANQA0gDPAMwAyADDAL0AtwCwAKoAowCdAJcAkgCPAI4AjwCSAJcAnwCoALQAwQDQAN8A7gD9AQsBGAEjASwBMwE4ATwBPgE/AUABQAFAAUEBQgFDAUUBSAFKAUwBTQFOAU0BSwFHAUIBOwEzASoBIAEWAQoA/wDzAOcA2wDOAMEAswCkAJUAhABzAGEATwA9ACsAGQAJ//r/7f/h/9b/zP/E/7z/s/+r/6H/l/+L/37/b/9g/1D/Qf8x/yT/GP8O/wf/Av8A/wD/Av8G/wr/Dv8R/xP/Ev8Q/wr/A/75/u3+4P7S/sP+tf6o/pz+kf6H/n7+d/5w/mn+Y/5c/lX+TP5E/jr+MP4l/hr+EP4G/f399P3t/ef94v3e/dr91v3S/c79yf3E/b79t/2v/af9n/2Y/ZD9iv2E/X/9fP16/Xn9ef16/Xv9ff2A/YL9hP2G/Yj9if2K/Yv9jP2M/Y39jv2O/ZD9kv2V/Zn9nv2l/a79uf3H/df96f39/hT+Lf5H/mP+f/6b/rb+0P7n/vz/D/8d/yn/MP81/zX/M/8u/yb/HP8R/wT+9f7m/tf+x/63/qf+l/6I/nn+bP5g/lb+Tf5G/kH+P/4+/j/+Qf5F/kn+Tv5S/lb+WP5a/ln+V/5T/k3+Rv4//jb+Lf4k/hz+FP4N/gf+Av39/fr99v3y/e796v3k/d791v3O/cT9uv2v/aX9m/2S/Yv9hf2C/YH9gv2G/Yz9lP2d/aj9s/2+/cj90f3Z/d/94/3m/ef95v3l/eP94f3g/d/93/3g/eL95P3o/ev97/3y/fT99P30/fP98P3t/er96P3n/en97v33/gT+Fv4s/kb+ZP6F/qf+yf7r/wr/Jv89/1D/XP9j/2X/Yf9Z/07/QP8y/yP/Fv8K/wH++/75/vv+//8I/xP/If8x/0T/WP9v/4f/ov++/93//gAhAEYAbgCXAMEA6wEWAT8BaAGPAbMB1QH0AhACKwJDAlkCbgKDApgCrQLDAtkC8QMIAyADNwNNA2EDcwOCA44DlgOaA5oDlwORA4gDfQNxA2MDVgNJAzwDMgMpAyEDHAMZAxkDGwMfAyYDMAM7A0oDXANwA4YDoAO8A9sD+wQeBEIEZwSOBLQE2wUBBScFTQVyBZYFugXeBgAGIwZGBmkGjAavBtIG9AcXBzkHWgd7B5oHuQfXB/MIDwgqCEQIXgh4CJEIqgjCCNsI8wkLCSMJOQlPCWUJeQmMCZ8JsQnCCdMJ5An1CgcKGQotCkAKVQprCoEKlwqtCsQK2grvCwQLFwspCzsLSgtZC2cLdAuAC4wLlwuhC6wLtgvAC8oL0wvcC+QL7AvzC/kL/gwCDAYMCQwLDA4MEAwTDBUMGQweDCMMKgwzDD0MSAxVDGIMcgyCDJIMowy0DMUM1QzlDPMNAQ0ODRkNJA0uDTcNQA1IDVENWQ1iDWwNdg2BDY0Nmg2oDbcNxw3YDekN+w4ODiEONA5IDlwOcQ6FDpkOrg7CDtYO6w7/DxMPJw87D1APZA94D4wPnw+zD8UP1g/mD/QQABAKEBEQFRAXEBUQERAKEAEP9g/pD9sPzA+8D6wPmw+JD3YPYg9NDzQPGQ77DtkOsw6IDloOJw3xDbkNfg1EDQoM0gyeDG4MRQwhDAUL8QvkC98L4AvpC/YMCAwcDDIMSQxeDHIMggyPDJgMnAycDJcMjwyFDHkMbAxfDFUMTQxKDEwMVAxiDHYMkQyzDNkNBA0zDWMNlA3EDfIOHQ5DDmUOgg6aDq0OvA7IDtEO2g7iDusO9w8EDxQPJw88D1MPaw+DD5oPrg/AD84P1w/cD9wP2A/QD8UPuA+rD54Pkw+KD4QPgw+FD4oPlA+fD60Puw/ID9UP3w/lD+kP6Q/lEB8QGRAREAcP/g/1D+0P5w/jD+EP4g/lD+kP7g/1D/sQABAFEAgQCRAIEAYQAQ/7D/QP7A/jD9sP0g/JD8EPug+zD6wPpQ+eD5cPjw+HD34PdA9oD1wPTg8/Dy4PHA8IDvMO3A7DDqgOiw5sDksOKQ4FDd8NuQ2SDWoNQw0cDPUM0AysDIkMaAxJDCsMDwv1C90LxguxC54LjQt+C3ALZAtaC1ALSAtBCzoLMgsqCyILGAsNCwAK8QrhCs8KuwqlCo8KeApgCkkKMAoYCgEJ6QnRCbkJogmJCXEJWAk+CSQJCQjuCNMItwicCIAIZQhKCC8IFAf6B+EHxweuB5YHfQdlB00HNwcgBwsG9gbjBtEGwAavBqAGkgaEBncGaQZcBk4GQAYxBiIGEgYBBfAF3wXNBbwFqgWYBYcFdQVkBVIFQAUuBRwFCgT3BOUE0gTABK4EnQSMBHwEbQReBFEEQwQ3BCoEHgQSBAUD+APqA9sDzAO8A6sDmwOKA3kDaANYA0gDOQMrAx0DDwMCAvUC6QLcAtACwwK3AqoCngKRAoUCeAJsAmACVAJJAj4CMgInAhwCEQIFAfoB7gHhAdUByAG6Aa0BnwGSAYQBdwFqAV4BUQFGAToBLwElARsBEQEIAP8A9gDuAOYA3gDWAM8AyADBALsAtQCwAKsApwCjAKAAnACZAJYAkgCNAIgAggB7AHIAaABcAE4APwAuABwACP/0/9//yv+2/6L/j/99/23/X/9T/0n/QP86/zX/Mv8x/zD/MP8w/zH/Mf8y/zH/Mf8w/y7/LP8p/yb/Iv8f/xv/Fv8S/w3/B/8B/vv+9P7s/uP+2v7Q/sX+uv6u/qL+lv6J/n3+cf5l/lr+T/5F/jv+Mf4o/h/+Fv4O/gb9/v33/fD96v3l/eH93v3b/dr92f3a/dv93f3f/eH95P3m/ej96f3p/er96f3o/ej95v3l/eX95P3k/eT95f3l/eb95v3m/eX95P3h/d392P3R/cr9wf24/a/9pv2d/ZX9jf2H/YL9fv17/Xn9d/12/XX9dP1z/XL9cf1x/XH9cf1z/Xf9fP2D/Y39mP2m/bX9xv3Y/er9/P4O/h/+Lv49/kr+Vf5f/mj+cf55/oD+iP6P/pf+n/6m/q7+tP66/r7+wv7E/sb+x/7H/sj+yf7M/tD+1/7f/ur+9/8F/xT/JP80/0L/T/9Z/2D/ZP9l/2P/X/9Y/1H/Sf9C/z3/Of84/zv/QP9J/1T/Yf9w/4D/kP+g/6//vv/L/9b/4P/p//D/9//9AAIABgAKAA0ADgAOAA0ACgAG////9//t/+L/1v/K/7//tf+s/6X/oP+e/57/oP+k/6r/sv+6/8P/zP/V/9//6f/0AAAADAAaACkAOQBLAF4AcgCHAJsArwDAANAA3gDoAO8A8gDyAO8A6QDhANYAywC+ALEApACWAIoAfQBxAGYAXABSAEkAQQA7ADYAMgAxADIANAA5AEEASgBUAF8AawB3AIEAigCSAJcAmgCaAJkAlgCSAI4AigCGAIQAhACGAIoAjwCXAJ8AqACxALoAwQDGAMoAywDKAMcAwgC9ALYAsACqAKQAoACdAJwAnQCfAKMApwCsALIAuAC+AMQAygDPANQA2ADcAOAA4wDnAOkA7ADuAPAA8gD0APYA9wD5APwA/wEDAQcBDAERARgBHgElASwBMwE5AT4BQwFGAUkBSwFNAU4BUAFRAVMBVgFZAV0BYgFmAWsBbwFzAXYBdwF3AXYBdAFxAW4BagFnAWUBZQFlAWgBbAFxAXgBfgGFAYoBjgGRAZEBjwGLAYQBfAFyAWgBXgFUAUsBQwE8ATcBMwEwAS0BKgEnASMBHgEYARABCAD/APUA7QDkAN4A2QDWANUA1wDaAN8A5QDrAPIA+AD9AQABAwEDAQEA/wD7APYA8ADqAOUA3wDbANYA0wDPAMwAygDHAMQAwAC8ALgAsgCtAKYAnwCYAJAAiQCBAHoAcwBuAGkAZgBkAGUAZwBsAHMAfACHAJMAogCwAMAAzwDdAOoA9gEAAQcBDQERARMBFAEUARQBFAEUARUBFwEaAR4BIQElASgBKwEsASsBKQEkAR4BFgEMAQEA9QDpANwA0ADDALYAqQCcAI8AgAByAGIAUQBAAC4AHAAK//j/5//Y/8v/v/+1/63/pv+g/5v/lf+P/4f/f/90/2j/W/9N/z7/MP8i/xb/DP8F/wD+/v7//wL/Bv8L/xD/Ff8X/xf/Ff8Q/wj+/v7x/uP+0/7E/rX+p/6a/o/+hf59/nb+cP5r/mX+X/5Y/lD+R/48/jD+JP4X/gv9//30/er94v3b/dX90f3N/cr9xv3C/b39t/2w/af9nv2T/Yn9fv1z/Wr9Yv1b/Vb9U/1R/VH9U/1V/Vj9XP1g/WT9aP1s/XD9c/12/Xn9fP1//YL9hv2K/Y79k/2Y/Z/9p/2x/bz9yf3Z/ev9//4W/i/+Sv5l/oL+n/66/tT+6/7//xD/HP8k/yf/Jf8g/xf/Cv78/uv+2f7H/rT+o/6R/oH+cf5j/lb+Sv4//jX+LP4l/h7+Gf4V/hP+Ef4R/hH+Ev4T/hT+Ff4V/hT+Ef4N/gf+AP33/e394v3W/cr9vv2y/af9nf2U/Yz9hv2A/Xr9dv1x/W39aP1j/V79V/1R/Ur9Q/09/Tb9Mf0t/Sr9Kf0q/S39Mv05/UL9Tf1Z/Wb9c/2A/Yz9mP2h/aj9rf2w/bH9r/2s/af9ov2d/Zj9lP2R/Y/9j/2Q/ZP9lv2a/Z/9o/2n/ar9rf2v/bH9s/22/bv9wv3M/dn96v3//hf+M/5Q/nD+kP6v/sz+5v79/w//G/8j/yb/JP8f/xb/Df8C/vj+8P7q/uf+5/7q/vL+/P8K/xr/LP9A/1b/bf+G/6H/vf/c//0AIABGAG8AmQDGAPMBIQFPAXsBpgHNAfECEQItAkQCWQJpAngChAKQApsCqAK1AsQC1QLnAvwDEAMmAzsDTgNgA28DewOEA4oDjAOLA4cDgQN5A3EDaANgA1kDUwNOA0sDSgNLA04DUgNYA18DaANyA34DjAOcA64DwgPZA/EEDAQpBEgEaASLBK4E0gT2BRsFQAVlBYkFrQXSBfYGGgY+BmIGhgarBs8G9AcYBzwHXweCB6MHxAfjCAEIHgg5CFQIbQiFCJ0IswjJCN4I8wkGCRgJKQk6CUkJVwljCXAJewmGCZEJnAmoCbQJwgnRCeEJ8woGChoKLwpECloKcAqGCpwKsQrFCtkK7Ar+CxALIQsyC0MLUwtkC3QLhAuUC6QLsgvAC84L2QvkC+0L9Qv8DAAMBAwGDAgMCQwKDAsMDAwODBIMFwweDCYMMgw/DE4MXwxxDIUMmgyvDMMM2AzsDP4NEA0gDS4NOw1HDVINXQ1nDXENew2FDZANnA2pDbYNxQ3VDeUN9g4IDhsOLw5DDlgObg6EDpsOsg7KDuIO+g8SDyoPQg9ZD3APhg+cD7APxA/XD+oP/BANEB0QLBA6EEcQUhBcEGMQaBBrEGwQaxBnEGEQWhBSEEgQPhA0ECkQHhATEAYP+A/oD9UPvw+kD4MPXQ8xDv8Oxg6JDkYOAQ26DXMNLgzsDLAMewxODCsMEgwCC/0MAQwMDB8MNwxSDG4MiwylDLwMzgzbDOIM4wzfDNUMyAy4DKgMlwyJDH4MeAx4DH8MjgykDMIM5w0SDUINdg2rDeIOGA5LDnoOpQ7KDuoPAw8XDyYPMQ85Dz8PRA9KD1IPWw9oD3cPig+fD7YPzQ/lD/sQDxAgEC0QNRA4EDYQMBAlEBgQCQ/5D+oP3A/RD8kPxQ/FD8gP0A/aD+UP8g//EAwQFhAeECMQJRAjEDwQOhA3EDMQLhArECgQJxAnECgQKhAuEDMQNxA7ED8QQRBBEEAQPRA4EDEQKRAgEBYQDBACD/kP8A/oD+AP2A/RD8kPwQ+3D60PoQ+UD4YPdw9nD1cPSA84DykPGg8LDv0O7g7fDs4Ouw6mDo0OcQ5SDi8OCQ3fDbMNhg1XDSgM+gzODKMMfAxXDDUMFwv8C+QLzgu7C6oLmwuMC38LcwtnC1sLUAtFCzoLLwsjCxgLDAr/CvEK4wrUCsQKswqiCo8KewpnClIKPQonChAJ+AngCcgJrwmVCXoJXwlECSgJDAjwCNQIuAidCIIIaAhOCDUIHAgEB+wH1Ae8B6QHjQd1B14HSAcxBxwHBwbzBuAGzQa8BqsGmwaLBnsGawZaBkoGOQYnBhUGAgXvBd0FygW4BaYFlQWEBXQFZAVUBUQFNAUjBRIFAATtBNoExgSzBJ8EjAR6BGgEVwRHBDkEKgQdBBAEAwP2A+gD2QPKA7oDqQOYA4YDdANiA1ADPwMvAx8DEAMCAvUC6QLdAtICxgK6Aq4CoQKUAocCeQJrAl0CTwJCAjUCKAIdAhECBwH9AfMB6gHhAdcBzgHEAbkBrgGjAZcBigF9AW8BYgFUAUcBOQEsASABEwEHAPwA8QDmANwA0gDIAL4AtACrAKIAmQCRAIoAhQCAAHwAegB5AHkAegB8AH4AgQCEAIUAhgCEAIEAfAB0AGkAWwBLADgAJAAN//X/3P/C/6j/j/93/2D/S/84/yf/F/8L/wD++P7y/u3+6f7n/uX+5P7i/uH+4P7d/tv+1/7T/s7+yf7E/r7+uP6z/q7+qf6l/qL+oP6e/p3+nP6b/pv+mv6Y/pb+k/6P/or+g/57/nL+aP5d/lH+Rf45/iz+IP4V/gv+Af34/fH96v3l/eH93v3b/dn92P3X/df91/3X/df91/3X/df91/3W/dX91P3S/dD9zv3L/cj9xf3C/b79u/23/bP9r/2r/ab9ov2d/Zn9lP2P/Yr9hf2A/Xz9d/1z/W/9bP1p/Wb9Y/1g/V39Wv1W/VH9Tf1I/UL9Pf05/TX9M/0y/TT9Of0//Un9Vf1k/XX9h/2a/a79wf3U/eX99P4B/g3+F/4f/if+Lf40/jr+Qf5J/lH+Wv5i/mv+dP58/oL+iP6L/o7+j/6P/o/+j/6Q/pP+mP6f/qn+tv7F/tf+6f78/w7/H/8t/zj/QP9F/0X/Qv89/zX/Lf8k/x3/GP8V/xb/Gv8i/y3/PP9N/1//cv+G/5j/qv+6/8j/1f/f/+j/7//2//sAAAAEAAgACgAMAA0ADQALAAcAA//8//X/7f/l/93/1v/Q/83/y//M/8//1f/c/+X/7//6AAQADgAWAB4AJAAqAC4AMgA2ADoAPwBGAE0AVwBhAG0AeQCGAJIAngCnAK8AtQC3ALcAswCtAKQAmQCMAH4AcABgAFIARAA3ACsAIQAZABMAEAAPABAAEwAYACAAKQAzAD8ATABYAGQAcAB6AIIAiACMAI4AjgCLAIgAgwB9AHgAdABxAG8AcAByAHcAfgCHAJEAmwCmALEAugDDAMkAzgDRANIA0QDPAMwAyQDFAMEAvQC7ALkAuAC4ALkAuwC+AMEAxQDKAM8A1ADZAN4A5ADoAO0A8ADzAPUA9gD2APYA9ADyAPAA7gDtAO0A7QDwAPQA+QEBAQkBEwEdAScBMAE4AT8BRAFHAUgBSAFGAUQBQQE/AT0BPQE+AUEBRgFLAVEBVwFcAWEBZAFlAWUBYgFeAVkBUwFOAUkBRgFFAUcBSwFSAVoBZQFvAXoBhAGMAZEBkwGTAY8BiQGAAXUBagFeAVMBSQFAATgBMgEuASoBJwEkASEBHQEYARIBCwEDAPsA8wDrAOQA3gDaANcA1gDXANgA2wDdAOAA4wDlAOYA5gDlAOQA4gDfAN0A2wDYANcA1QDTANIA0ADOAMsAxwDBALsAswCrAKEAlwCMAIEAdgBsAGIAWQBRAEkAQwA+ADoANwA2ADcAOgA+AEQATABXAGMAcAB+AI0AnACqALgAxADPANcA3gDkAOgA6wDsAO4A7wDxAPMA9QD4APoA/AD8APwA+gD1AO8A5gDaAM0AvgCuAJ0AjQB9AG4AXwBTAEcAPQAzACkAIAAWAA0AAv/3/+v/4P/U/8n/v/+3/7D/qv+m/6P/of+e/5z/mf+U/43/g/94/2r/Wv9K/zn/KP8Z/wv/Af75/vX+8/71/vn+//8F/wv/EP8T/xT/Ev8M/wT++P7r/tz+zf69/q7+oP6T/on+f/54/nH+a/5l/l/+WP5P/kX+Ov4u/iD+Ev4E/ff96/3g/df9z/3K/cX9wv2//bz9uf21/bD9qf2g/Zb9i/1//XL9Zv1a/U/9Rf09/Tf9M/0x/TH9Mv00/Tj9PP1A/UX9S/1Q/Vb9XP1j/Wr9cv16/YL9iv2T/Zz9pf2u/bj9wv3N/dn95/32/gf+Gv4u/kX+Xf52/o/+p/6+/tL+4/7w/vj++/76/vP+6P7a/sj+tP6f/on+dP5f/kz+PP4t/iD+Fv4N/gb9//36/fb98v3u/ev96f3m/eT94/3h/eH93/3e/d392v3X/dL9zP3E/br9r/2j/ZX9h/15/Wr9XP1P/UL9N/0s/SP9G/0U/Q79CP0D/P/8+vz2/PL87vzr/Oj85fzj/OH84Pzg/OD84vzm/Or88Pz3/QD9Cv0W/SL9L/08/Un9Vf1g/Wr9cf13/Xr9ev15/XX9b/1p/WL9XP1W/VH9Tv1N/U39UP1V/Vv9Yv1q/XP9fP2F/Y79mP2i/a39uv3I/dj96/4A/hj+Mv5N/mr+hv6i/rz+1P7o/vj/BP8M/xD/EP8N/wn/A/79/vj+9f70/vb+/P8E/xD/Hv8u/0H/Vv9s/4P/m/+1/9H/7wAOADEAVgB9AKgA1QEDATIBYgGQAbwB5QIKAioCRAJaAmsCdgJ/AoQChwKKAo0CkgKaAqQCsgLEAtgC7wMIAyEDOgNTA2kDfAOMA5kDogOoA6sDrAOqA6gDpgOjA6IDogOjA6YDqwOwA7cDvgPGA84D1gPfA+cD8AP6BAQEEAQeBC4EQQRWBG4EiQSnBMcE6gUOBTQFWwWCBasF0wX7BiIGSgZxBpcGvQbjBwgHLQdSB3UHmAe6B9sH+wgZCDYIUghrCIQImgivCMII1AjlCPQJAgkOCRkJIwksCTQJPAlCCUgJTglUCVsJYglqCXMJfgmKCZcJpgm3CckJ3AnwCgUKGgowCkUKWwpwCoUKmwqwCsQK2QruCwILFwsrC0ALUwtnC3kLiwucC6sLugvHC9IL3AvkC+sL8Av1C/gL+gv8C/0L/wwCDAUMCgwQDBkMIwwwDD4MTwxiDHYMjAyhDLgMzgzjDPgNDA0eDS8NPg1NDVsNaQ12DYQNkg2gDbANwA3RDeMN9Q4IDhsOLw5DDlcOaw5/DpQOqQ6+DtQO6g8BDxgPLw9GD14PdQ+LD6EPtw/LD94P8RADEBQQJRA2EEYQVhBlEHUQgxCREJ0QqBCxELkQvhDCEMQQxBDDEMEQvhC6ELcQshCuEKgQoRCXEIoQeRBiEEQQIA/zD78Pgw8/DvUOpg5TDgANrg1fDRUM1AybDG4MSww1DCsMKww1DEgMYQx+DJwMuwzYDPENBQ0TDRoNHA0XDQ4NAAzxDOEM0gzHDMAMvgzEDNEM5g0DDScNUg2DDbgN7w4oDmAOlw7KDvkPJA9ID2cPgQ+VD6UPsQ+6D8EPyA/PD9YP3w/qD/gQBxAYECoQPRBPEGAQbxB7EIQQiBCJEIUQfhBzEGYQVxBGEDYQJxAZEA4QBhABD/8QARAFEAsQExAcECUQLBAzEDgQPBA9EGMQYhBgEFwQWRBVEFIQTxBOEE4QTxBREFQQWBBbEF4QXxBfEF4QWhBVEE4QRRA8EDIQKBAeEBUQDBAED/wP9A/sD+MP2g/OD8EPsQ+gD40Peg9mD1IPPw8tDx4PEQ8GDv0O9g7vDugO3w7TDsQOsA6XDnkOVA4rDfwNyg2WDWANKgz2DMUMlgxtDEcMJwwLC/ML3wvOC78LsgumC5oLjguDC3YLaQtcC04LQAsyCyQLFgsHCvgK6QraCsoKuQqnCpUKgQptClcKQQopChEJ+AneCcQJqQmNCXEJVQk4CRwI/wjjCMgIrAiSCHgIXwhHCDAIGggEB+4H2QfEB64HmQeEB28HWgdFBzAHHAcHBvQG4AbNBrsGqAaVBoMGcAZcBkgGNAYgBgsF9gXhBcwFuAWkBZEFfwVtBVwFSwU7BSsFGgUJBPgE5QTTBMAErQSZBIYEcwRhBE8EPwQvBCAEEgQEA/cD6gPcA84DvwOvA58DjQN8A2oDWANHAzUDJQMVAwcC+QLrAt8C0gLGArkCrAKeApACggJzAmMCVAJFAjYCKAIbAg8CBAH6AfIB6gHkAd0B2AHSAcsBxAG9AbQBqgGfAZIBhQF2AWcBVwFHATcBJgEXAQcA+ADrAN0A0QDFALoAsACmAJwAkwCLAIMAewB1AG8AagBnAGUAZQBmAGkAbQByAHgAfgCDAIgAiwCMAIsAhwB/AHUAaABXAEQALgAV//v/4P/E/6j/i/9v/1T/Ov8i/wv+9f7i/tD+wP6x/qX+mf6P/of+f/54/nH+av5j/l3+Vv5P/kf+QP44/jH+K/4l/iH+Hv4c/h3+IP4k/ir+Mv47/kT+Tv5X/mD+Z/5t/nD+cf5w/mz+Zf5d/lP+R/47/i7+Iv4W/gr+AP33/fD96f3k/d/93P3Z/db90/3Q/c79y/3I/cb9w/3B/b/9vf27/bn9t/21/bP9sP2s/aj9o/2e/Zj9kf2K/YP9fP11/W/9aP1j/V79Wf1V/VH9Tv1L/Uj9Rf1C/T/9PP04/TX9Mf0s/Sj9I/0e/Rn9E/0O/Qn9BP0A/P78/fz+/QH9B/0P/Rr9J/02/Ub9WP1r/X39j/2f/a79u/3G/c/91/3d/eL95/3s/fL9+v4C/gz+F/4i/i/+O/5G/lD+Wf5f/mP+Zf5l/mT+Yv5g/l/+YP5j/mr+dP6A/pD+o/63/sz+4f71/wb/FP8f/yb/Kf8o/yT/Hv8W/w7/Bv8A/vz++/7+/wT/Df8Z/yj/OP9J/1v/bP98/4v/mf+l/6//uP/A/8j/zv/V/9r/4P/l/+r/7f/w//L/8v/x/+//7P/p/+b/4//h/+D/4f/k/+n/8P/5AAMADgAZACMALQA1ADsAPwBAAEAAPwA8ADgANQAyADEAMQAzADcAPQBFAE0AVwBfAGcAbgByAHQAcwBvAGcAXgBSAEUANwApABwAEQAHAAD//P/6//wAAQAIABIAHQApADYAQwBQAFsAZQBtAHMAdwB6AHoAeQB3AHMAbwBqAGYAYgBeAFsAWgBaAFsAXgBiAGcAbQB0AHwAhACNAJUAnQClAKwAsgC4ALwAwADDAMUAxgDHAMcAxwDHAMYAxQDDAMIAwQDAAMAAwADBAMIAxQDIAMwA0QDWANsA4ADkAOgA6gDsAOwA6wDpAOYA5ADhAN8A3wDgAOMA6QDwAPoBBQERAR0BKQE1AT4BRgFLAU4BTgFNAUoBRgFBAT0BOgE4ATgBOQE8AUABRAFIAUsBTQFNAUwBSAFEAT4BNwExASwBKAEnASkBLgE1AT8BSwFXAWQBcQF7AYMBiAGKAYgBhAF9AXQBagFfAVUBSwFDAT0BOAE1ATIBMQEvAS0BKQElAR8BGAEPAQYA/ADxAOgA3gDWAM8AygDFAMIAwAC+AL4AvQC9AL0AvQC+AL8AwQDEAMcAywDPANMA1wDaANwA3QDbANcA0ADIALwArwCgAJAAgABwAGAAUQBEADgALgAmAB8AGQAUABEADwANAA0ADgARABUAGwAiACwAOABEAFIAYQBwAH8AjQCbAKcAsQC7AMMAyQDPANQA2ADcAN8A4gDkAOQA4gDeANgAzwDCALIAoACLAHQAXABEACwAFgAC//H/4v/X/8//yf/G/8T/w//D/8P/w//C/8D/vv+8/7r/t/+2/7T/s/+z/7L/sf+v/6v/pf+d/5P/hv92/2X/Uv8+/yv/GP8I/vr+8P7o/uX+5f7n/uz+8/76/wD/Bf8I/wn/B/8B/vn+7v7h/tP+xP62/qj+m/6P/oX+fP50/m3+Z/5g/ln+UP5H/jz+MP4j/hX+B/35/ez94P3W/c39xv3A/bz9uP21/bL9rv2p/aP9m/2S/Yj9fP1v/WP9Vv1K/T/9Nv0t/Sf9Iv0f/R39Hf0d/R/9Iv0l/Sr9L/02/T79R/1S/V39av13/YX9kv2g/a39uv3F/dD92v3k/e79+f4E/hD+Hv4u/j/+UP5j/nX+h/6W/qP+rP6y/rL+rv6l/pj+iP50/l/+SP4y/h3+Cv36/ez94P3Y/dL9zv3M/cr9yf3I/cb9xP3C/b/9u/24/bT9sP2t/ar9p/2k/aD9nf2Y/ZL9i/2C/Xj9bf1g/VL9RP02/Sf9Gf0L/P788vzm/Nz80vzK/ML8uvyz/K38qPyj/KD8nfyb/Jv8m/yc/J/8ofyl/Kj8rPyw/LT8ufy9/MP8yfzP/Nf83/zp/PP8/v0J/RT9Hv0n/S/9Nf05/Tv9O/05/Tf9NP0x/S79LP0s/S79Mv04/UD9Sv1V/WH9b/18/Yr9mP2n/bX9xf3V/eb9+f4N/iP+Ov5S/mv+hP6c/rP+yf7c/uz++f8C/wn/Df8P/xD/EP8P/xD/Ev8W/xv/JP8u/zv/Sv9b/2z/f/+T/6j/vf/U/+0ABwAjAEEAYgCGAKsA0gD7ASQBTAFzAZcBuAHUAewB/wINAhcCHQIgAiECIQIjAiYCLQI3AkYCWQJwAowCqwLMAu4DEAMxA1ADbAOFA5oDqwO4A8MDygPQA9UD2QPeA+MD6gPyA/wEBwQSBB4EKgQ1BD8ESARPBFUEWQRdBGEEZQRqBHEEewSIBJkErgTHBOQFBQUqBVIFfAWnBdQGAAYtBlkGgwatBtUG+wcgB0MHZQeGB6YHxAfiB/4IGAgyCEoIYAh0CIcImAinCLQIwAjKCNMI2wjiCOgI7gjzCPgI/AkBCQcJDQkTCRsJIwktCTcJRAlRCWAJcQmCCZUJqAm8CdEJ5gn8ChEKKAo+ClQKawqCCpkKsArHCt4K9QsLCyELNgtKC14LcAuCC5MLoguxC74LygvVC+AL6QvxC/gL/wwEDAkMDgwSDBcMHAwiDCkMMQw7DEcMVQxlDHYMiAycDLAMxQzaDO4NAQ0UDSYNOA1JDVkNag17DY0NoA2zDcgN3g30DgsOIw46DlEOaA5+DpQOqQ68DtAO4w71DwgPGw8uD0EPVQ9oD3wPkA+kD7cPyg/cD+4QABARECIQNBBGEFgQaxB/EJMQpxC8ENAQ4xD1EQURFBEgESsRNBE6EUARQxFGEUgRSBFHEUQRPxE4ESwRGhEDEOUQvxCREFoQGg/TD4UPMg7aDoIOKg3WDYYNPw0BDM4MpgyKDHsMdwx8DIsMnwy5DNQM8Q0LDSMNNg1FDU4NUg1SDU4NSA1BDTsNNg01DTkNQg1QDWYNgQ2iDckN9A4iDlMOhA62DuYPFQ9BD2kPjg+wD80P6A//EBMQJRA1EEMQURBeEGoQdRCBEIwQlhCgEKkQsRC4EL0QwBDAEL4QuhCzEKoQnxCSEIMQdBBlEFYQSBA8EDIQKhAlECMQJBAnECwQMxA8EEQQTBBUEFoQXxBiEKcQphCiEJwQlBCLEIIQeRBxEGsQZhBkEGQQZRBoEGsQbhBxEHIQchBwEG0QZxBgEFgQTxBGED0QNBAsECQQHBATEAoP/w/yD+IP0A+8D6UPjQ90D1wPRQ8wDx4PEA8HDwAO/g7+Dv4O/w7+DvkO7w7gDskOqg6EDlgOJQ3uDbQNeQ0/DQcM0wyjDHgMVAw0DBoMBQvzC+QL1wvLC78LsgulC5cLhwt3C2YLVQtECzILIQsQCv4K7QrbCskKtwqjCo8KeQpjCkwKNAobCgEJ6AnNCbMJmAl9CWIJRwksCREI9gjbCMEIpgiMCHIIWghBCCoIEwf+B+kH1AfAB60HmgeGB3MHYAdNBzoHJwcTBwAG7AbZBsUGsgaeBooGdgZhBkwGNwYhBgsF9AXeBccFsQWbBYUFcAVcBUcFMwUfBQwE+ATlBNIEvgSrBJgEhQRyBGAETwQ/BC8EIAQSBAUD+APrA94D0APCA7QDpQOVA4UDdANjA1MDQgMyAyIDFAMFAvcC6gLcAs4CwAKyAqICkwKCAnECXwJOAj0CLAIdAg8CAgH3Ae4B5gHgAdsB1gHSAc8BywHGAcABuQGxAacBmwGOAYABcAFfAU4BPAEqARkBBwD3AOgA2wDOAMQAugCyAKsApQCgAJsAlgCRAI0AiQCEAIAAfAB5AHYAdQB0AHUAdgB4AHoAfQB+AH8AfwB8AHcAcABmAFgASQA2ACEAC//y/9n/v/+k/4n/b/9V/zz/I/8L/vT+3f7I/rP+n/6N/nv+av5a/kv+Pf4v/iL+Fv4L/f/99P3p/d791P3K/cH9uP2x/av9p/2l/ab9qP2u/bX9v/3L/dj95/32/gT+Ev4e/ij+MP41/jf+Nv4y/iz+JP4a/hD+BP35/e794/3a/dH9yv3E/b79uf20/bD9rP2o/aT9oP2d/Zn9lv2U/ZL9kf2Q/ZD9j/2O/Y79jP2K/Yf9g/1+/Xj9cv1r/WX9Xv1Y/VL9TP1H/UP9P/07/Tb9Mv0t/Sf9If0a/RP9C/0D/Pv89Pzt/Of84vze/Nv82fzY/Nj82fza/N384fzm/Oz89Pz9/Qf9E/0g/S79PP1K/Vn9Zv1z/X79iP2R/Zf9nf2i/ab9q/2w/bb9vv3H/dP93/3u/f3+DP4c/ir+Nv5B/kn+T/5S/lP+U/5R/lD+UP5S/lb+XP5n/nT+hf6Y/q3+w/7Z/u//Af8S/x7/J/8r/yz/Kf8j/xv/Ev8I/wD++f71/vP+9f76/wL/DP8Y/yb/Nf9D/1L/X/9s/3f/gf+K/5L/mv+h/6f/rv+0/7v/wf/G/8v/z//T/9X/1//Y/9j/2P/Y/9j/2v/c/+D/5v/t//X//gAHABEAGgAhACgALAAvAC8ALQAqACYAIQAcABgAFAATABMAFQAZAB4AJQAsADMAOQA9AEAAQAA9ADcALwAlABoADgAD//n/8f/r/+n/6//w//kABQAUACQANABFAFQAYQBsAHQAeAB6AHgAdABuAGcAXgBXAE8ASQBEAEEAQABAAEIARQBIAE0AUQBWAFoAXgBjAGcAawBvAHQAeQB+AIQAiwCSAJkAoQCoAK8AtQC7AL8AwwDFAMYAxQDEAMEAvgC7ALgAtQCyALEAsQCyALQAtwC7AMAAxgDMANEA1gDaANwA3gDeAN0A3ADaANgA2ADYANoA3gDkAOwA9gEBAQ4BGwEoATUBPwFIAU8BUwFVAVQBUgFOAUoBRQFBAT4BOwE5ATkBOQE5AToBOgE5ATcBNAEwASsBJgEhAR0BGwEaARsBHgEkASwBNQE/AUkBUwFbAWIBZwFpAWgBZgFiAVwBVwFRAUwBRwFEAUIBQQFBAUIBQgFBAT8BOwE1AS0BIwEXAQkA+wDsAN0AzgDAALQAqACfAJYAjwCJAIQAgQCAAH8AgQCEAIkAjwCXAKEAqwC2AMAAygDRANYA1wDVANAAxgC5AKgAlgCBAG0AWABEADIAIwAWAAwABP/+//v/+P/3//b/9v/2//b/9//4//r//gAEAAsAFAAfACwAOgBKAFkAaAB4AIYAkwCeAKkAsgC6AMEAxwDMANAA0wDUANMAzwDIAL0ArwCdAIcAbQBRADQAFv/4/9z/wv+s/5r/jf+E/3//fv+B/4b/jf+V/53/pf+s/7L/t/+6/7z/vv++/73/vP+5/7X/sP+p/6D/lf+I/3j/Z/9V/0H/Lv8a/wn++f7r/uH+2v7W/tX+1/7b/uD+5v7s/vD+8/71/vP+8P7q/uL+2P7N/sL+tv6q/p/+lP6L/oL+e/50/m3+Zv5f/lf+Tv5E/jn+Lf4g/hP+Bf33/er93/3T/cr9wf26/bP9rf2n/aL9m/2V/Y39hP16/XD9Zf1Z/U79Q/04/S79Jv0e/Rf9Ev0O/Qv9Cf0H/Qf9Cf0L/Q/9Ff0d/Sf9M/1B/VH9Yv10/Yb9mf2q/br9yf3V/eD96f3x/fj9/v4E/gr+Ev4a/iT+Lv45/kP+TP5U/ln+W/5a/lT+Sv49/iz+Gf4E/fD92/3I/bj9q/2h/Zr9lv2V/Zb9mP2b/Z79n/2g/Z79m/2X/ZH9iv2D/Xz9df1v/Wr9Zf1h/V79Wv1X/VP9Tv1I/UH9Of0v/SX9G/0P/QT8+fzu/OP82PzN/ML8t/ys/KL8l/yM/IL8ePxw/Gn8ZPxh/GD8YPxj/Gf8bPxy/Hf8ffyC/Ib8ivyM/I78j/yQ/JL8lPyX/Jz8o/yr/LT8vvzJ/NP83vzo/PH8+f0A/Qb9C/0P/RT9GP0e/ST9LP01/UD9S/1Y/Wb9dP2C/ZD9nv2s/bn9xv3U/eL98P3//g/+IP4y/kX+WP5s/n/+kv6j/rP+wv7P/tv+5f7t/vX+/f8E/wz/FP8d/yj/M/8//0z/Wv9o/3f/hf+U/6L/sf/A/9D/4f/0AAgAHgA1AE4AaACEAJ8AuQDTAOsBAAESASIBLgE4AT8BRAFJAU0BUwFbAWYBdAGHAZ4BugHaAf0CIwJLAnQCnALEAuoDDQMuA0sDZAN7A44DoAOwA78DzQPbA+sD+wQLBB0EMARDBFYEZwR4BIcElASeBKYErASvBLEEswS1BLcEvATEBM8E3gTyBQoFJwVIBW0FlQW/BeoGFQZABmoGkga5Bt0G/gcdBzoHVgdvB4cHnge0B8kH3QfwCAEIEgghCC8IPAhHCFEIWQhhCGcIbQhzCHgIfgiECIoIkQiZCKIIrAi3CMIIzwjdCO0I/QkPCSIJNQlKCV8JdgmMCaQJvAnUCe0KBQofCjgKUgpsCoUKnwq5CtIK6wsDCxoLMQtGC1sLbguBC5MLpAu0C8QL0wviC/EL/gwLDBcMIgwsDDUMPAxCDEgMTQxRDFYMXAxiDGoMdAx/DI0MnAysDL0M0AzjDPYNCQ0cDS8NQQ1TDWYNeQ2MDaANtg3MDeQN/Q4XDjEOTA5mDoAOmQ6xDscO3A7wDwMPFA8lDzYPRg9XD2gPeQ+KD5wPrQ+/D9EP4g/zEAQQFRAnEDgQSxBeEHIQiBCfELcQ0BDqEQQRHhE3EU8RZRF5EYsRmxGoEbMRvBHCEcURxhHFEcARtxGqEZgRgRFjET8RExDgEKYQZBAdD9APgA8uDtwOjA5ADfoNug2EDVcNNA0bDQwNBg0IDRANHQ0uDUENVA1mDXYNhA2PDZgNng2iDaYNqQ2vDbYNwA3NDd8N9Q4PDi0OTg5yDpcOvQ7kDwkPLQ9QD3EPkA+tD8gP4g/7EBQQLRBFEF4QdhCOEKUQvBDREOQQ9BEBEQwRExEWERYRExENEQQQ+RDtEN8QzxDAELAQoBCQEIAQcRBkEFcQTBBEED0QORA4EDoQPhBFEE8QWxBnEHQQgRCNEJcQnxCkEOMQ5BDhENoQ0BDEELYQqBCbEI8QhhB/EHwQfBB+EIIQhxCMEJEQlRCWEJYQkhCNEIYQfRBzEGkQXxBWEEwQRBA7EDEQJhAaEAsP+Q/kD80Psw+YD30PYw9LDzcPJw8dDxgPGA8dDyUPLg83Dz0PPw87Dy4PGQ77DtQOpQ5uDjMN9Q21DXYNOg0DDNAMowx9DFwMQQwqDBYMBQv0C+UL1QvEC7ILnwuLC3cLYgtNCzgLJAsQCvwK6QrWCsIKrgqaCoQKbgpXCj8KJwoOCfUJ3AnDCaoJkQl5CWAJSAkvCRcI/QjjCMkIrwiTCHgIXghDCCkIEAf4B+EHywe2B6IHjwd8B2sHWQdIBzYHJAcSBwAG7gbbBsgGtQahBo0GeQZkBk8GOgYkBg4F9wXhBckFsgWaBYIFagVSBToFIgUKBPME2wTFBK4EmQSEBHAEXQRMBDsELAQdBBAEAwP2A+oD3gPSA8UDtwOpA5oDigN6A2oDWQNJAzkDKgMbAw0DAALyAuUC2ALKArsCrAKcAooCeAJmAlMCQAIuAh0CDgIAAfQB6gHiAdsB1gHSAc4BywHHAcIBvAG1AawBogGVAYgBeQFpAVgBRwE1ASMBEgECAPIA5ADYAM0AxAC9ALgAtQCzALMAswC0ALUAtQC1ALMAsQCsAKcAoACZAJEAiQCAAHgAcQBpAGMAXABVAE0ARQA8ADAAIwAVAAT/8v/e/8j/sv+b/4T/bv9Y/0L/Lf8a/wf+9f7j/tL+wv6x/qH+kf6A/nH+Yf5R/kH+Mv4j/hX+Bv34/ev93f3Q/cP9t/2r/Z/9lP2K/YD9ef1y/W79a/1r/W39cf14/YD9i/2W/aP9sP28/cj90/3b/eH95f3m/eX94P3a/dL9yP2+/bP9p/2c/ZL9iP1//Xf9cP1p/WT9Xv1a/Vb9U/1R/VD9T/1P/VD9Uf1T/Vb9WP1a/Vv9XP1c/Vv9Wf1X/VT9Uf1O/Uv9SP1H/UX9RP1E/UP9Qv1A/T39Of0y/Sv9If0X/Qv8//zz/Of83fzU/M38yPzF/MT8xfzI/Mz80fzW/Nv84fzn/O388vz5/P/9B/0O/Rf9IP0q/TX9P/1K/VT9Xf1m/W79df18/YP9if2Q/Zj9oP2q/bb9w/3R/eH98f4B/hL+If4w/j3+R/5Q/lj+Xf5h/mT+Zv5p/m3+c/56/oT+kP6e/q7+v/7R/uP+9P8E/xH/G/8i/yX/Jf8i/xz/FP8K/wH++P7w/ur+5/7n/ur+7/74/wL/Dv8a/yf/NP8//0r/U/9b/2H/Z/9s/3D/df96/3//hf+L/5L/mf+g/6f/rf+z/7f/u/+9/7//wf/C/8T/xv/J/83/0v/X/97/5f/t//T/+gAAAAQACAAJAAkACQAHAAUAAwABAAAAAAABAAQABwAKAA4AEgAVABYAFgATAA8ACQAB//n/8P/n/+H/3P/a/9z/4f/q//YABQAXACkAOwBMAFwAaABwAHUAdgB0AG4AZgBcAFIASAA/ADgAMwAxADEAMwA3ADwAQgBIAE4AUwBXAFoAXABeAF8AYABhAGQAZwBsAHIAeQCBAIoAlACeAKcAsAC4AL4AxADIAMsAzQDOAM4AzQDLAMoAyADGAMUAwwDDAMIAwwDEAMUAxwDKAM0A0ADTANUA1wDZANoA2gDaANkA2ADYANgA2gDdAOIA6ADxAPsBBgESAR4BKgE1AT8BRgFMAU8BTwFOAUsBRgFAATsBNQEwASsBJwEkASIBIQEgAR8BHgEcARsBGQEXARUBFAETARMBFAEXARoBHQEiASYBKwEvATIBNAE2ATYBNgE1ATUBNAE1ATUBNwE5ATwBPwFCAUQBRQFEAUEBOwE0ASkBHQEPAQAA7wDfAM4AvgCvAKEAlACIAH4AdQBtAGYAYgBfAF4AXwBjAGkAcQB8AIcAlACgAKsAtQC8AL8AvgC4AK4AnwCNAHcAYABIADAAGgAG//b/6v/h/93/2//d/+D/5f/q/+//8//3//r//P/+AAEABAAIAA4AFQAfACkANgBDAFEAXwBtAHkAhQCPAJgAoACmAKwAsQC1ALgAuQC5ALcAsgCrAJ8AkAB9AGYASwAvABH/8v/V/7n/oP+M/3v/cP9q/2j/av9w/3n/g/+O/5j/ov+r/7H/tv+5/7r/uf+2/7L/q/+j/5n/jf+A/3H/Yf9P/z3/K/8Z/wn++f7r/uD+1/7R/s7+zP7N/s/+0v7W/tn+3P7e/t7+3f7a/tb+0f7L/sT+vP60/q3+pf6e/pf+kP6J/oP+fP51/m7+Zv5d/lT+Sv4//jP+J/4a/g39//3y/eX92f3N/cL9t/2t/aT9m/2S/Yr9gf14/W/9Zf1b/VH9R/09/TP9Kf0g/Rf9D/0I/QL8/Pz3/PP88Pzu/O387fzw/PX8/P0F/RH9IP0x/UT9WP1t/YP9mP2s/b79z/3d/ej98f34/f3+Af4E/gf+Cv4N/hH+Ff4Y/hv+HP4c/hn+E/4K/f797/3d/cr9tf2g/Yz9ef1q/V39VP1P/U39T/1S/Vf9Xf1i/Wb9aP1p/Wb9Yv1b/VL9SP0+/TT9K/0i/Rv9Fv0S/Q/9Df0M/Qv9Cv0J/Qf9Bf0C/P/8+/z4/PT87/zq/OX83/zY/M/8xfy6/K38n/yP/ID8cPxi/FT8SfxA/Dr8N/w3/Dn8PfxD/Er8UfxX/Fz8YPxi/GP8Yvxg/F78XPxa/Fr8W/xe/GP8avxy/H38iPyV/KH8rvy7/Mf80vze/Oj88/z+/Qn9Ff0h/S39Ov1I/VX9Y/1x/X79iv2W/aH9q/21/b/9yP3R/dv95f3w/fv+CP4U/iL+MP4//k3+XP5r/nv+iv6Z/qn+uf7J/tn+6v76/wv/G/8r/zv/Sf9W/2L/bf92/37/hv+N/5P/mv+h/6n/sv+8/8f/0//h/+7//QALABkAJwA0AEAATABYAGMAbgB6AIcAlgCmALkAzwDnAQIBHwE/AWEBhAGpAc8B9QIbAkECZgKLAq4C0QLyAxIDMgNQA24DiwOnA8QD3wP7BBcEMgRNBGcEgASYBK4EwgTUBOME8AT7BQMFCgUQBRUFGgUgBScFMQU+BU4FYgV5BZMFsAXOBe4GDgYvBk4GawaHBqEGuAbNBuAG8gcCBxIHIQcvBz4HTAdbB2kHdweFB5MHnwesB7cHwgfMB9YH3wfpB/IH/AgHCBIIHQgpCDYIQwhRCGAIcAiBCJQIpwi8CNII6gkDCR4JOQlWCXQJkgmxCdAJ7woOCi0KSwpqCocKpQrBCt0K9wsRCykLQAtWC2wLfwuTC6ULuAvJC9sL7Av9DA4MHgwuDD0MSgxWDGEMagxxDHcMewx/DIIMhgyLDJEMmAyhDKwMugzJDNoM7Az+DRINJg05DU0NYQ10DYcNmw2vDcUN2w3yDgoOIw49DlcOcg6MDqUOvQ7VDuoO/w8SDyQPNQ9GD1YPZg93D4gPmQ+qD7wPzw/hD/MQBRAWECcQORBLEF0QbxCDEJgQrhDGEN8Q+hEWETIRTxFsEYgRoxG8EdMR6BH7EgoSFRIdEiISIRIdEhMSBBHvEdQRtBGNEWARLRD1ELkQeRA2D/EPrQ9qDyoO7g62DoUOWg42DhoOBA31DewN5w3nDeoN7w30DfoOAA4EDggOCw4NDg8OEg4WDhwOJQ4xDkEOVQ5tDokOqA7JDu0PEQ80D1cPeA+WD7EPyA/dD/AQABAPEB4QLRA9EE8QYxB5EJIQqxDGEOIQ/BEVESsRPhFMEVYRWhFaEVYRTBFAETERIBENEPoQ5xDVEMMQshCjEJQQhxB6EG8QZRBdEFcQUxBSEFQQWRBgEGsQeBCIEJgQqRC5EMgQ1BDdEPEQ9xD6EPgQ8hDpEN4Q0RDEELgQrRCmEKEQnxCgEKMQqBCuELMQtxC6ELkQthCwEKgQnRCREIQQdxBrEGAQVhBNEEQQOxAxECUQFxAGD/MP3A/DD6oPkQ95D2UPVQ9LD0cPSg9SD2APcA+CD5IPnw+mD6QPmg+ED2QPOg8GDssOig5FDf8Nuw15DTwNBQzUDKoMhQxmDEsMMwwdDAkL9AvgC8sLtQueC4cLcAtZC0MLLQsYCwMK7wrcCsgKtQqgCosKdQpfCkcKLwoWCf0J5AnMCbMJmwmECWwJVQk9CSUJDQjzCNgIvQigCIMIZghICCsIDwfzB9kHwAepB5QHgAdtB1wHSwc6ByoHGQcJBvcG5gbTBsAGrQaZBoQGbwZaBkUGLwYZBgMF7QXWBb8FqAWQBXcFXwVGBSwFEwT5BOAExgStBJUEfgRnBFIEPwQtBBwEDQP/A/ID5gPaA84DwwO2A6kDmwONA30DbQNdA0wDOwMqAxsDDAL9AvAC4gLWAskCvAKuAqACkAKAAm8CXQJLAjkCJwIXAggB+wHvAeYB3gHXAdIBzQHIAcMBvAG1AawBoQGVAYgBeQFpAVkBSQE4ASgBGQEKAPwA7wDkANkA0ADJAMMAvgC8ALsAuwC9AMAAwwDHAMkAywDKAMgAwwC8ALEApQCWAIUAcwBhAE4APAApABgAB//3/+f/1//H/7f/pv+V/4P/cP9c/0j/Nf8h/w/+/f7s/t3+z/7C/rb+rP6i/pn+kf6I/oD+d/5v/mX+XP5R/kf+PP4w/iX+Gf4N/gD99P3o/dz90P3E/bj9rf2h/Zb9jP2C/Xn9cP1o/WL9Xv1a/Vn9Wv1d/WH9Z/1u/Xb9fv2F/Yv9kP2U/ZX9k/2Q/Yr9gv15/W/9ZP1Y/U39Qv04/S79Jv0f/Rn9Ff0R/Q/9Dv0O/Q/9Ef0T/Rf9Gv0e/SL9Jv0p/Sv9Lf0u/S79Lf0t/Sz9LP0s/S79MP00/Tj9Pv1D/Un9Tf1Q/VH9UP1N/Uf9Pv00/Sj9G/0O/QL89/zt/OX84Pzd/Nz83Pze/OH84/zm/Oj86vzr/Oz87Pzs/O787/zy/Pf8/f0E/Q39GP0j/S79Ov1G/VL9Xf1o/XL9e/2E/Y79l/2h/az9t/3E/dH94P3v/f/+EP4g/jD+QP5P/lz+af5z/nz+hP6L/pD+lf6Z/p3+ov6n/q3+s/66/sL+yv7T/tv+4f7n/uv+7f7s/ur+5v7g/tr+0/7N/sj+xf7E/sb+yv7Q/tn+4/7v/vv/Bv8R/xv/I/8p/y7/Mf8z/zX/N/85/zz/Qf9I/1D/Wv9l/3D/fP+H/5L/m/+j/6j/rP+u/6//r/+u/63/rf+t/6//sv+3/73/xP/L/9P/2v/h/+f/7P/v//H/8f/x//D/7v/s/+r/6f/o/+f/5v/l/+T/4//h/97/2v/V/9H/zP/I/8b/xf/G/8r/0f/b/+j/9wAHABgAKQA4AEUAUABXAFwAXABaAFUATwBHAEAAOgA1ADIAMQAyADYAOwBBAEgATwBVAFoAXgBhAGIAYwBkAGQAZgBoAGsAcAB2AH0AhQCNAJYAnwCoALAAtwC9AMMAyADNANIA1gDbAOAA5QDqAO4A8gD1APYA9gD1APIA7gDpAOQA3wDaANUA0gDQAM8AzwDQANEA0gDUANUA1gDWANYA1QDWANYA2ADbAOAA5gDuAPgBAgENARcBIQEpAS8BMwE0ATQBMAErASUBHgEXARABCwEGAQMBAQEAAQABAgEDAQUBBgEIAQgBCQEJAQkBCAEIAQcBBwEHAQcBCAEIAQkBCgEMAQ0BDwERARQBFwEbAR8BIwEnASsBLgEwATIBMQEvASoBJAEcARMBCAD9APEA5gDaAM8AxQC8ALMAqwCkAJ0AlgCQAIsAhgCDAIEAgQCCAIYAjACTAJsAowCrALEAtQC2ALMAqwCfAI4AegBiAEgALgAU//z/6P/X/8z/xf/D/8b/zP/V/+H/7f/5AAQADgAVABsAHwAiACQAJwApAC0AMgA4AEAASQBTAF0AZgBwAHgAfwCFAIkAjACPAJEAkgCTAJMAkwCRAI4AiQCBAHYAaABXAEMALAAU//r/4f/I/7L/nv+P/4T/ff96/3v/gP+G/4//mP+h/6j/r/+0/7b/tv+0/6//qP+f/5T/iP96/2r/Wf9H/zX/I/8R/wD+8P7j/tj+0P7K/sj+x/7J/sz+0P7V/tj+2/7c/tz+2f7W/tD+yv7E/r3+tv6w/qv+pv6i/p7+m/6Y/pT+j/6J/oP+e/5y/mn+Xv5T/kf+O/4v/iP+Fv4K/f398f3k/dj9zP3A/bX9qf2e/ZT9iv2A/Xb9bf1j/Vr9UP1H/T39M/0p/R/9Ff0M/QP8+vzy/Ov85Pze/Nn81vzU/NP81PzY/N385fzw/P39DP0e/TH9Rv1c/XL9iP2d/bH9w/3U/eL97v35/gH+CP4O/hL+Fv4Y/hn+Gv4Y/hX+D/4H/f397/3f/cv9tv2f/Yb9bv1W/UD9LP0b/Q79BPz+/Pv8/Pz+/QL9Bv0K/Q39Dv0N/Qr9Bfz+/PX86/zh/Nb8zfzE/L38uPy1/LP8s/y0/Lf8uvy+/ML8xvzL/ND81fzZ/N784vzl/Ob85/zl/OH82vzQ/MP8tPyj/JD8fPxo/FT8Qvwz/Cb8HfwX/BT8FPwW/Bv8IPwm/Cv8L/wy/DP8Mvwx/C78Kvwn/CT8Ivwh/CL8Jvwr/DL8O/xF/FH8Xvxr/Hj8hfyT/KD8rPy5/Mb80/zg/O38+/0J/Rf9Jf00/UL9UP1d/Wn9df2A/Yr9k/2b/aL9qf2w/bb9vf3E/cz91P3e/en99v4E/hP+JP43/kv+Yf53/o7+pv6+/tX+6/8B/xT/Jv82/0T/T/9X/17/Yv9l/2f/aP9p/2r/a/9t/3H/dv98/4X/j/+a/6f/tv/G/9j/6///ABQAKgBBAFkAcQCJAKAAuADPAOYA/AERASYBOwFRAWgBgAGZAbYB1QH3AhsCQwJtApkCxgL0AyIDUAN8A6cD0AP2BBsEPgRfBH8EngS7BNgE8wUOBScFPgVUBWYFdwWFBZAFmQWhBacFrQWyBbkFwQXKBdUF4gXxBgEGEgYjBjQGRAZTBmAGawZ1Bn4GhQaMBpIGmQagBqkGsga8BsgG1AbhBu8G/gcNBxwHKwc6B0oHWgdqB3oHiwebB6wHvAfNB90H7Qf9CA4IHwgxCEUIWghxCIoIpQjDCOMJBQkpCU4JdAmbCcIJ6AoOCjMKVgp5CpkKuQrXCvMLDgsnC0ALVgtsC4ELlAunC7kLywvcC+0L/QwNDB0MLQw8DEoMVwxjDG0Mdgx+DIQMiQyODJIMlwydDKQMrAy3DMMM0gzjDPUNCA0cDTENRw1cDXENhg2aDa8NxA3ZDe4OBQ4bDjMOSw5jDnsOkw6qDsEO1g7rDv4PEA8hDzIPQg9TD2MPdQ+HD5oPrQ/BD9UP6g/+EBIQJRA4EEsQXBBuEIAQkhClELgQzRDkEPwRFREwEUwRaRGGEaMRvxHbEfUSDRIiEjQSQhJMElESUBJKEj0SKhIQEfARyhGeEW0RORECEMkQkBBXECEP7g/AD5YPcQ9SDzkPJA8UDwkPAQ77DvcO9A7xDu4O6g7lDt4O1w7PDscOvw64DrIOrw6uDrIOuQ7EDtQO6Q8BDx0PPA9dD38PoQ/DD+MQABAaEDEQRRBVEGIQbhB4EIIQjBCXEKQQshDDENYQ6hEAERYRKxE+EU8RXRFnEW0RbxFtEWgRXxFUEUcROhEsER8REhEGEPoQ7xDlENoQ0BDFELkQrRCiEJcQjBCEEH0QehB5EH0QhBCOEJsQqhC7EMsQ2hDnEOEQ7RD2EPwQ/hD9EPgQ8hDpEOAQ1xDPEMkQxBDCEMMQxRDIEMsQzRDOEM0QyRDCELgQrBCeEI8QgBBxEGMQVxBNEEQQPBA0ECwQIxAXEAkP+Q/mD9EPvA+oD5YPiA+AD30PgQ+LD5sPsA/HD94P8hABEAkQBw/7D+IPvg+OD1QPEg7LDoAONQ3rDaUNYw0oDPQMxgyeDHwMXgxDDCoMEwv8C+ULzQu2C54LhgtuC1cLQQssCxgLBArxCt4Kywq3CqIKjAp1Cl0KQwopCg4J8wnYCb4JpAmKCXEJWAk/CSYJDQj0CNkIvgiiCIUIZwhJCCsIDgfxB9YHvAejB4wHdwdkB1IHQAcwBx8HDwb/Bu0G2wbIBrUGoAaKBnQGXQZGBi4GFwX/BecF0AW5BaIFiwV0BV0FRgUuBRYE/gTmBM0EtASbBIIEagRSBDwEJwQTBAAD7wPgA9IDxQO5A64DogOWA4kDfANuA14DTgM+AywDGwMKAvoC6gLbAswCvwKxAqQClwKJAnsCbAJdAk0CPAIsAhsCDAH9AfAB5AHZAdAByAHAAbgBsAGoAZ4BkgGFAXcBaAFYAUcBNwEoARkBDAEBAPgA8ADqAOQA4ADcANgA1ADRAM0AygDHAMQAwgDAAL4AvQC8ALkAtgCxAKoAoACTAIQAcQBcAEUALAAT//j/3v/F/63/lf9//2r/Vv9E/zH/IP8P/v3+7f7c/sz+vP6u/qD+k/6I/n3+dP5s/mb+YP5b/lf+U/5Q/k3+Sv5G/kP+P/46/jX+MP4p/iL+Gv4S/gn+AP34/e/95v3e/db9zv3G/b79tf2s/aL9mP2O/YP9eP1t/WT9W/1U/U/9TP1K/Uv9TP1O/VH9VP1W/Vf9Vv1U/VH9TP1G/T79Nv0u/SX9Hf0W/Q/9Cv0F/QL9APz+/P78//0B/QP9Bv0K/Q39Ef0V/Rj9G/0d/R79H/0f/R79Hf0b/Rv9G/0c/R/9I/0o/S/9N/0//Uf9Tv1T/Vf9WP1X/VT9Tv1F/Tz9Mf0m/Rv9EP0H/QD8+fz0/PH87vzs/Or86Pzl/OL83/zc/Nj81fzT/NL80/zV/Nn83/zn/PD8+v0G/RH9Hf0p/TT9P/1J/VP9XP1l/W79d/2B/Yv9lv2h/a79vP3L/dv97P3//hH+Jf44/kz+Xv5v/n7+jP6W/p7+o/6m/qb+pP6g/pv+l/6T/o/+jf6M/oz+jv6Q/pP+lv6Y/pr+m/6a/pn+l/6V/pP+kv6S/pT+mP6f/qf+sf69/sn+1v7h/uv+9P77/wD/A/8E/wX/Bv8H/wn/Dv8U/x3/KP81/0T/Vf9l/3X/hP+R/5v/o/+n/6n/qP+l/6H/nP+Y/5T/kv+S/5P/l/+d/6X/rf+2/7//x//O/9P/1//Y/9f/1f/R/8z/xv/B/7v/tv+x/67/q/+o/6f/pf+l/6X/pf+n/6n/rf+z/7r/wv/M/9j/5f/y//8ADAAXACEAKQAvADIAMwAzADEALwAsACoAKQApACoALgAyADgAPwBGAEwAUgBXAFwAXwBhAGMAZQBnAGoAbgBzAHkAgQCJAJIAmgCiAKkArwCzALYAuAC5ALoAvAC+AMIAxwDPANcA4gDsAPcBAQEJAQ4BEQERAQ0BBgD9APIA5wDbANAAxwDAALsAuQC5ALsAvgDCAMYAyQDKAMsAygDIAMUAwwDBAMAAwQDEAMkA0ADYAOIA7AD2AP8BBgELAQ4BDgEMAQgBAwD9APcA8gDtAOoA6QDoAOoA7ADvAPIA9QD3APoA+wD8APwA/AD8APsA+wD7APwA/QD+AQABAgEEAQcBCQEMAQ4BEQETARUBFgEXARgBGAEWARQBEQENAQgBAwD9APYA8ADrAOYA4gDeANwA2gDZANcA1gDVANMA0QDOAMsAyADFAMIAwAC/AMAAwQDDAMYAyQDLAMsAyADDALoArQCdAIkAcgBaAEAAKAAR//z/7P/h/9v/2v/e/+f/8wACABIAIwAyAEAASwBUAFoAXgBfAF8AXwBeAF0AXgBfAGIAZQBpAG0AcQB0AHcAeQB6AHoAeQB3AHUAcgBwAG0AagBmAGEAWgBSAEcAOgArABoAB//z/9//zP+6/6v/n/+W/5H/j/+R/5b/nP+j/6v/sv+3/7v/vP+7/7j/sv+p/5//kv+E/3T/Y/9R/z3/Kv8W/wP+8f7g/tL+x/6+/rn+uP66/r7+xf7M/tX+3P7h/uX+5v7k/uD+2v7R/sj+v/61/q3+p/6i/p7+nP6b/pr+mf6X/pT+j/6I/oD+dv5r/l/+Uv5F/jj+K/4f/hP+CP38/fH95v3a/c/9w/24/az9of2V/Yv9gf13/W79ZP1c/VP9Sf1A/Tb9K/0g/RX9Cfz+/PP86Pze/NX8zfzH/ML8vvy9/L38v/zD/Mn80fzb/Of89P0E/RX9KP08/VD9Zf17/ZD9pv27/c/94v30/gX+Ff4i/i3+Nv47/j7+Pv45/jH+Jv4W/gP97f3U/bn9nP1+/WD9Qv0l/Qr88fzb/Mj8uPyr/KH8mvyW/JP8kvyR/JH8kPyO/Iz8iPyD/H38dvxv/Gj8Yfxc/Ff8VPxT/FT8V/xb/GH8aPxw/Hn8g/yN/Jf8ofyr/LT8vfzE/Mn8zfzO/Mz8yPzA/LX8p/yW/IT8b/xa/EX8MPwe/A37/vvy++r75Pvg+9/74Pvh++P75Pvm++b75vvl++P74fve+9v72fvY+9j72vvd++L76Pvw+/n8A/wO/Br8Jvwy/D78SvxW/GL8b/x8/In8l/ym/Lb8x/zY/Ov8/f0P/SL9M/1D/VL9YP1r/XX9fv2E/Yr9j/2U/Zj9nf2i/an9sv28/cj91/3n/fr+D/4m/j7+WP5y/o3+qP7C/tr+8v8H/xn/Kv83/0L/S/9R/1b/Wv9c/1//Yv9m/2v/cv97/4f/lf+m/7r/0P/qAAUAJABEAGYAiQCsAM8A8AEQAS0BRgFcAW0BegGDAYgBiwGMAY4BkAGVAZ8BrgHDAd4CAQIqAlkCjQLEAv0DNwNwA6cD3AQNBDoEZASLBLAE0wT1BRYFNgVXBXcFlgW0BdAF6gX/BhIGIAYqBjEGNQY3BjgGOAY5BjoGPQZCBkgGUAZYBmEGaQZwBnUGeQZ6BnoGeAZ1BnIGbwZrBmoGaQZqBmwGcQZ4BoAGigaVBqMGsgbCBtQG5wb8BxEHKAc/B1YHbQeEB5oHrwfDB9cH6wf/CBQIKghCCFwIeQiZCLwI4QkICTIJXAmHCbIJ3AoFCi0KUgp2CpgKuArXCvQLDwspC0ILWgtwC4YLmguuC8AL0gviC/IMAQwQDB0MKgw3DEMMTgxYDGIMawxzDHsMggyKDJIMmgykDK8MuwzJDNkM6gz9DRENJg07DVANZg18DZENpg27DdEN5g37DhEOKA4+DlUOaw6BDpcOqw6/DtIO4w7zDwMPEQ8gDy8PPg9PD2APcw+ID54PtQ/MD+QP/BATECkQPxBSEGUQdhCHEJcQphC2EMcQ2BDrEP8RFREtEUYRYBF7EZYRsRHNEecR/xIVEigSNxJCEkgSSRJDEjcSJRIMEe4RyhGiEXcRSxEeEPEQxxCgEH0QXxBFEDEQIRAVEA0QBxACD/8P+w/3D/EP6Q/gD9UPyQ+7D60Pnw+QD4MPdw9sD2QPXw9cD1wPYA9oD3IPgQ+TD6gPwA/aD/YQExAwEE4QahCFEJ0QtBDIENoQ6RD3EQMRDREXESERKhE0ET0RRxFQEVkRYRFoEW0RcRFyEXERbxFrEWURXxFZEVMRTRFJEUURQhE/ET0ROxE3ETIRLBEjERgRChD7EOoQ2RDHELcQqBCdEJUQkRCREJUQnRCpELYQxRDTEN0Q6hD2EQERCREPEREREBEMEQYQ/xD2EO4Q5xDhEN0Q2xDaENoQ2xDbENsQ2BDTEMsQwBCzEKQQkxCCEHEQYhBUEEgQPhA1ECwQJRAcEBIQBg/4D+kP2A/ID7kPrA+jD58PoQ+qD7gPyw/iD/sQEhAmEDQQORA1ECUQCA/gD6wPbw8qDuAOkw5GDfsNtA1yDTUNAAzRDKcMgwxjDEYMKwwSC/kL4AvHC68Llgt+C2YLUAs6CyULEAr8CukK1QrACqoKkwp6CmAKRQooCgoJ7AnNCa8JkQl0CVgJPgkkCQsI8gjaCMIIqQiQCHcIXAhCCCcIDAfyB9gHvwenB5AHewdnB1QHQgcxByAHDwb+BuwG2QbFBrEGmwaDBmsGUgY4Bh4GAwXpBc8FtQWcBYQFbQVWBUAFKgUUBP4E6ATSBLsEpASMBHQEWwRDBCsEFAP+A+oD1wPGA7YDqAObA48DgwN4A2wDXwNSA0MDNAMjAxIDAQLvAt4CzQK8AqwCnQKOAoACcQJjAlQCRQI2AiYCFgIGAfcB6AHZAcwBvwGzAagBnQGRAYYBeQFrAVwBSwE6ASgBFgEFAPUA5wDcANUA0ADPANEA1ADaAOAA5gDqAO0A7gDsAOcA4ADXAM0AwQC1AKkAnACQAIQAeABrAF0ATgA9ACoAFv///+f/zv+z/5n/fv9k/0v/M/8c/wf+8/7g/s/+v/6v/qH+k/6H/nv+cf5n/l7+Vv5P/kn+Q/49/jj+M/4u/ir+Jv4i/h7+G/4Z/hb+FP4R/g7+C/4H/gP9/v34/fP97f3n/eL93f3Z/dX90v3P/cz9yP3D/b79tv2u/aT9mP2M/X/9c/1m/Vv9Uv1K/UP9P/08/Tr9OP04/Tf9Nv00/TL9MP0t/Sr9J/0k/SH9H/0e/R39Hf0d/R79IP0h/SP9Jf0n/Sn9LP0u/TD9Mv00/Tb9N/03/Tf9Nv00/TH9L/0s/Sr9KP0n/Sf9KP0r/S79Mv02/Tr9Pv1A/UD9P/08/Tf9MP0o/R79Ff0K/QH89/zv/Of84Pza/NX80PzM/Mf8w/y//Lv8uPy1/LT8s/y1/Lj8vPzC/Mr80vza/OL86vzx/Pf8/P0A/QT9Bv0J/Q39Ef0W/R39Jf0v/Tr9R/1W/WX9dv2H/Zr9rf3C/df97f4D/hn+L/5E/lf+aP53/oL+if6N/o3+if6D/nv+cv5o/l/+V/5R/k3+TP5M/k7+Uv5W/lr+Xv5g/mL+Y/5j/mP+Y/5k/mb+a/5x/nn+g/6P/p3+q/64/sX+0f7a/uL+5/7r/u3+7v7v/vH+9P75/wD/Cf8V/yP/M/9E/1X/Zv91/4L/jf+U/5j/mf+X/5L/jf+G/3//ef91/3P/c/91/3r/gf+J/5L/m/+k/6v/sf+1/7b/tf+z/67/qP+h/5r/k/+N/4f/g/+B/4D/gP+D/4b/i/+R/5j/oP+p/7L/vP/H/9H/2//l/+7/9//9AAMACAALAA0ADQAOAA4ADgAOABAAEgAWABsAIAAnAC0ANAA6AEAARQBJAE0AUABTAFYAWgBeAGQAbAB0AH4AiACSAJwApACrAK8AsQCxAK8AqwCmAKEAnACaAJkAmwChAKgAswC+AMsA1wDjAOsA8QDzAPIA7QDmANsA0ADEALkArwCnAKIAoAChAKQAqACtALIAtwC5ALsAugC3ALMArwCqAKYAowCiAKQApwCtALUAvgDIANEA2gDhAOcA6gDrAOsA6gDnAOQA4gDgAN4A3gDfAOAA4wDlAOcA6QDrAO0A7QDuAO8A8ADxAPMA9gD5AP4BAwEHAQwBEQEVARgBGQEaARoBGAEWARIBDgEKAQUBAQD8APcA8gDuAOkA5QDiAN8A3ADaANoA2gDaANwA3QDfAOEA4wDkAOUA5ADjAOEA3wDdANsA2QDYANcA1wDYANgA2ADXANUA0QDLAMIAtgCoAJgAhwB1AGMAUgBDADcALwAqACoALwA3AEIAUABgAHAAfwCOAJoApACrAK4ArwCuAKsApwCiAJwAlwCTAI8AjACJAIcAhACBAH4AewB3AHIAbQBoAGIAXQBXAFEASwBFAD0ANQArAB8AEQAC//H/4P/O/73/rv+h/5f/j/+L/4v/jf+S/5j/oP+n/63/sf+0/7T/sf+s/6T/mf+N/3//b/9e/0v/OP8k/xD++/7o/tX+xP61/qn+of6c/pv+nv6k/q3+t/7C/sz+1f7b/t/+3/7c/tb+zf7E/rn+r/6m/p/+mv6W/pX+lf6V/pX+lf6T/pD+i/6E/nz+cv5n/lz+UP5F/jr+MP4m/hz+Ev4H/fz98P3j/db9yP26/az9nv2R/YX9ev1w/Wb9Xf1V/Uz9Qv04/S79Iv0V/Qj8+/zt/OD80/zI/L78tfyu/Kn8pvyl/KX8qPys/LH8uPzB/Mv81vzj/PH9Af0T/Sb9Ov1R/Wn9g/2e/br91v3z/g7+KP4//lP+Yv5s/nD+b/5n/lr+R/4v/hL98v3Q/az9h/1h/T39Gfz3/Nf8uPyc/IP8bPxX/EX8Nvwq/B/8GPwS/A78C/wJ/Af8BvwE/AP8APv++/v7+fv3+/b79vv4+/v8AfwI/BH8G/wm/DL8PvxK/Fb8Yfxr/HP8evx//IL8hPyD/ID8evxz/Gn8XfxP/ED8L/we/Az7+vvo+9j7yPu6+677pPua+5P7jfuI+4T7gft/+3z7evt5+3f7dft0+3P7c/tz+3T7dvt5+337gvuJ+5H7mvuj+677uPvE+8/72/vn+/P8APwO/B38Lfw+/FH8Zfx6/JH8qPy//Nf87f0C/Rb9KP04/UX9UP1a/WH9aP1t/XL9dv17/YH9h/2O/Zb9oP2s/br9yf3b/e7+BP4c/jX+T/5r/ob+ov68/tb+7v8D/xf/KP83/0T/UP9c/2b/cv9+/4v/mv+s/8D/1//wAA0ALABPAHMAmwDEAPABHAFJAXUBoAHIAe0CDQImAjoCRgJKAkgCPwIyAiECDwH/AfEB6QHoAe8CAQIcAkICcAKlAuADHwNfA6AD3gQZBFEEhASyBN4FBgUsBVAFdAWYBbsF3gYABiAGPgZZBnAGgwaRBpsGoQakBqYGpwaoBqoGrgazBrsGxAbOBtgG4gbpBu8G8QbwBusG4wbZBs0GvwawBqEGkwaHBnwGcgZrBmYGYwZkBmYGbAZ1BoEGkQajBrkG0QbsBwgHJQdCB2AHfAeYB7IHywfjB/oIEggqCEQIXwh9CJwIvgjiCQgJLwlYCYAJqAnPCfUKGgo/CmEKgwqkCsQK4wsCCyALPQtZC3QLjQulC7wL0QvkC/UMBQwTDCAMLAw3DEIMTAxWDF8MaQxzDH0MiAyTDKAMrQy8DMsM3AzuDQENFA0oDT0NUQ1mDXoNjg2hDbQNxw3aDe0OAQ4VDikOPg5SDmcOew6PDqIOsw7DDtIO3w7sDvgPBA8QDx0PLA89D08PZQ98D5UPsA/LD+cQAhAcEDQQSxBeEHAQgBCNEJoQpRCxELwQyRDXEOYQ+BELER8RNhFOEWYRgBGZEbIRyRHeEfESARIMEhMSFRISEgkR+xHoEdERtxGbEX4RYhFIETARGxELEP8Q9xDyEPEQ8RDyEPIQ8hDuEOgQ3xDTEMMQsRCdEIgQcxBfEEwQOxAsECAQFxAQEAsQCRAJEAsQDxAVEBwQJhAxEEAQUBBjEHkQkBCpEMQQ4BD7ERYRMBFIEV4RchGCEZARmhGiEacRqhGrEaoRqRGlEaERnRGXEZERixGFEX8ReRFzEW8RaxFoEWYRZhFnEWkRaxFuEXARchFyEXERbRFnEV4RUxFFETURIxEQEP0Q6hDZEMoQvhC2ELEQsBC0ELoQxBDQEPEQ+hEEEQ4RFxEfESYRKREpESYRIBEYEQ8RBhD9EPYQ8RDuEO0Q7hDwEPIQ8xDzEO8Q6BDeENEQwBCtEJkQhBBwEF4QThBAEDQQKRAgEBYQDBABD/QP5g/XD8gPuQ+tD6UPoQ+iD6kPtQ/GD9oP7hACEBIQHBAfEBcQBQ/oD8APjg9TDxEOyw6CDjkN8Q2tDW4NMwz+DM4MpAx9DFsMOwwcDAAL5AvJC68LlQt7C2MLSwszCx0LBwryCtwKxgqwCpgKfwpkCkcKKQoKCekJyAmnCYYJZwlICSsJDwj2CN0IxwixCJwIhwhzCF4ISQg0CB4ICAfyB9wHxgexB5wHhwdzB2AHTQc6BygHFQcDBvAG3AbIBrIGnAaEBmwGUgY3BhwGAAXkBckFrQWSBXgFXwVHBTAFGgUFBO8E2gTEBK4EmASABGgEUAQ4BCAECAPyA90DyQO3A6YDlwOKA30DcQNlA1kDTQM/AzEDIgMRAwAC7gLcAsoCuAKnApYChQJ0AmQCVAJEAjQCIwITAgIB8QHhAdEBwQGyAaMBlQGIAXoBbQFeAU8BPwEuARsBCAD1AOIA0ADBALQArACnAKcArAC1AMEAzwDfAO4A+wEGAQwBDgEKAQIA9ADiAM0AtQCbAIEAZwBPADcAIAAL//f/5P/R/77/q/+X/4P/bv9Z/0T/L/8a/wb+8/7g/s7+vv6u/p/+kf6E/nn+bv5l/l7+WP5S/k7+Sv5G/kP+P/46/jX+Lv4o/iD+Gf4R/gr+A/39/fj98/3v/ev96P3k/d/92/3W/dD9y/3G/cH9vP25/bf9tf21/bT9s/2y/bD9rP2n/aD9mP2O/YP9d/1s/WH9V/1O/Uf9Qf08/Tj9Nf0y/TD9Lv0s/Sr9Kf0n/Sf9J/0n/Sn9LP0v/TL9Nv07/T79Qv1F/Uj9Sv1L/Uz9Tf1O/U79Tv1O/U79Tf1M/Ur9SP1F/UL9Pv06/Tb9Mv0v/Sz9Kv0n/SX9JP0h/R/9G/0X/RH9C/0D/Pr88Pzm/Nv80fzI/L78tvyv/Kj8o/yd/Jn8lPyQ/Iz8ifyG/IX8hPyF/Ij8jfyT/Jv8pPyt/Lf8wPzH/M380PzQ/M/8y/zF/L/8ufy0/LD8r/yx/Lb8vvzK/Nj86fz7/Q/9I/03/Uz9YP1z/Yf9m/2v/cL91v3q/fz+Df4d/ir+NP47/j/+P/49/jj+Mv4r/iX+H/4b/hj+GP4a/h7+Iv4o/i3+Mv42/jj+Ov47/jv+O/48/j7+Qf5H/lD+Wv5n/nX+hP6U/qT+sv6//sn+0v7Y/tz+3/7g/uH+4v7k/uj+7f70/v3/CP8U/yH/L/88/0n/VP9d/2T/aP9p/2j/Zv9i/13/WP9T/1D/T/9P/1H/Vf9c/2P/a/90/3z/g/+K/47/kf+S/5H/jv+L/4b/gf98/3f/c/9x/3D/cf90/3j/fv+F/47/l/+i/6z/tv/B/8v/1P/c/+P/6f/u//L/9f/3//n/+v/8//3//wACAAUACQAOABMAGQAfACQAKQAuADIANgA5ADwAPwBBAEUASgBPAFYAXgBoAHIAfACGAI8AlwCdAKEAogCgAJwAlgCPAIcAfwB4AHMAcABwAHIAdwB+AIcAkQCbAKUArQCzALcAuAC3ALMArgCoAKIAnACXAJMAkQCQAJEAlACXAJoAnQCgAKEAogChAJ8AnACaAJcAlQCVAJUAlwCbAJ8ApQCqALAAtgC6AL4AwQDDAMQAxQDGAMcAyADLAM0A0QDUANcA2gDcAN0A3gDdAN0A3ADbANsA3ADfAOMA6ADvAPcBAAEIARABFgEaAR0BHQEbARcBEQELAQMA+wD0AO0A5wDhAN0A2QDWANQA0gDQAM8AzgDMAMsAygDKAMkAyQDIAMgAyADHAMcAxwDGAMYAxQDFAMUAxQDFAMYAxwDIAMkAyQDJAMgAxgDDAL4AuQCyAKsApACdAJYAkACMAIoAiQCLAJAAlwCfAKoAtQDBAM0A2ADjAOsA8gD2APkA+QD3APQA7wDpAOMA3ADVAM4AxgC/ALcArwCnAJ4AlQCMAIIAeABuAGUAWwBSAEkAQAA3AC0AIgAWAAj/+v/q/9n/yP+3/6f/mf+N/4P/fP95/3j/ef98/4D/hf+I/4v/i/+J/4T/ff90/2j/W/9M/zv/Kv8Y/wb+8/7f/sz+uf6n/pb+h/56/nH+a/5p/mv+cf55/oT+kf6d/qn+sv65/r3+vf66/rX+rf6k/pv+k/6M/ob+g/6C/oL+g/6F/of+iP6H/ob+g/5//nr+df5v/mn+Y/5d/lf+UP5J/kD+Nv4q/hz+DP36/ef90/3A/a39m/2K/Xv9bv1i/Vj9T/1F/Tz9Mv0n/Rv9D/0B/PP85fzX/Mn8vPyw/Kb8nfyW/JD8jPyK/Ir8i/yO/JL8mPyf/Kj8sfy9/Mr82fzr/P79FP0t/Uj9Z/2I/av90P31/hn+PP5b/nX+if6W/pv+l/6K/nb+Wv43/hD95v25/Yv9Xv0y/Qj84fy8/Jn8efxb/D/8JvwO+/n75vvV+8j7vfu0+677q/up+6j7p/uo+6f7p/um+6T7o/ui+6H7ofuj+6f7rfu0+777yPvU++D76/v2/AD8CPwO/BP8FfwV/BT8EfwM/Af8APv4++/75vvb+9D7xfu5+6z7n/uR+4T7dvto+1v7TvtC+zb7LPsi+xn7EvsL+wb7Avr/+vz6+/r7+vv6+/r9+v/7AvsG+wr7EPsX+x77J/sw+zv7RvtS+177a/t4+4b7lful+7b7yfvd+/P8Cvwj/Dz8Vfxv/Ij8n/y1/Mn82/zr/Pn9Bf0R/Rv9JP0t/Tb9P/1H/VD9Wf1h/Wr9cv16/YP9jf2Y/aX9tP3G/dr98f4L/ib+Q/5h/n7+m/63/tL+6/8C/xf/LP9A/1P/aP99/5T/rf/I/+QAAwAkAEYAawCRALgA4QEMATgBZgGVAcQB9AIiAk4CdgKZArYCywLXAtoC1ALFArAClQJ3AlkCPQInAhkCFgIeAjICUgJ+ArQC8QM0A3oDwQQGBEcEhAS8BO8FHQVHBW4FkwW2BdkF+wYcBjwGWgZ2Bo8GpQa3BsUG0AbZBuAG5wbuBvYHAAcMBxkHKQc5B0kHVwdkB2wHcQdyB24HZQdZB0oHOAclBxEG/QboBtUGwgawBqAGkQaEBnoGcgZtBmwGcAZ5BoYGmQavBsoG6AcJByoHTQduB44HrQfKB+UH/ggXCC4IRgheCHgIkwivCM0I7QkOCTAJVAl4CZwJwQnnCgwKMgpYCn8KpQrLCvELFgs6C10LfgudC7kL0wvqC/8MEgwjDDIMPwxLDFcMYgxtDHgMgwyPDJwMqQy4DMgM2QzqDP4NEQ0lDToNTw1jDXcNiQ2bDawNvA3LDdoN6A32DgQOEw4iDjMOQw5VDmYOdw6JDpkOqA61DsIOzQ7YDuEO6w72DwIPEA8gDzIPSA9gD3sPlw+0D9IP7hAKECMQOhBOEF8QbRB5EIQQjRCVEJ4QpxCyEL8QzRDeEPERBhEdETURTRFmEX4RlRGqEb0RzBHYEd8R4RHgEdoR0BHDEbURphGXEYoRgBF6EXgRexGDEY4RnBGrEboRxxHREdYR1hHQEcMRsRGaEX4RYBFBESIRBRDrENQQwhC0EKoQpRCjEKQQphCrELAQtxC+EMYQ0BDaEOYQ9REFERgRLBFDEVsRdBGNEaYRvRHSEeUR9BIAEggSDBINEgsSBhH/EfYR7BHiEdcRzBHCEbkRsBGpEaMRnhGaEZcRlRGUEZQRlBGVEZYRlxGYEZkRmRGYEZYRkxGPEYoRgxF7EXERZhFZEUwRPREvESAREREEEPkQ8BDqEOcQ6BDrERQRFBEXERwRIxEqETERNhE4ETgRNBEuESYRHREUEQwRBhEDEQMRBREKEQ8RFREZERsRGRESEQcQ9xDjEMwQsxCaEIEQahBWEEUQNxAqECAQFRALD/8P8Q/iD9EPwA+vD58Pkg+JD4QPhA+KD5MPnw+tD7oPxA/KD8kPwA+uD5MPbw9CDw4O1Q6XDlcOFg3WDZgNXQ0lDPEMwgyWDG0MRwwkDAML5AvGC6kLjQtzC1kLQAsoCxEK+QriCsoKsgqYCn4KYgpECiUKBQnjCcEJnwl+CV0JPQkfCQII5wjOCLcIoQiNCHkIZghUCEIIMAgfCA0H+wfpB9cHxQezB6AHjQd6B2cHUwc/BysHFgcBBuwG1gbABqoGkwZ8BmUGTQY0BhoGAAXmBcsFsAWVBXsFYQVIBTAFGQUBBOoE1AS9BKYEjwR3BF8ERwQvBBcEAAPqA9YDwwOxA6ADkQODA3UDaANbA00DPwMwAyEDEQMAAu8C3gLMArsCqQKYAocCdQJkAlICQAIuAhsCCAH1AeMB0AG+Aa0BnQGOAX8BcQFkAVYBSAE6ASsBGgEJAPcA5QDTAMEAsgCmAJ0AmQCZAJ4AqAC2AMYA2QDrAP0BCwEWARoBGQEQAQEA6wDQALEAjgBqAEUAIf/+/97/wP+l/47/eP9l/1P/Qv8z/yT/Ff8H/vn+7P7f/tL+xf65/q3+of6V/or+gP52/m3+Zv5g/lv+V/5V/lP+Uv5R/k/+TP5J/kP+PP4z/ir+H/4V/gr+AP33/e795/3h/dv91v3R/cz9xv2//bj9sf2q/aP9nP2W/ZH9jf2K/Yj9hf2D/YH9ff15/XT9bv1n/V/9WP1R/Ur9Rf1A/Tz9Of03/TX9M/0x/S/9Lf0q/Sj9Jf0j/SL9If0i/SP9Jv0p/S39Mf01/Tj9O/0+/UD9Qf1B/UH9Qf1A/T/9Pf08/Tr9OP01/TL9Lv0q/SX9IP0b/Rb9Ef0N/Qn9BP0A/Pz8+Pzz/O785/zg/Nf8zvzE/Lr8sPym/Jz8lPyM/IX8gPx7/Hf8c/xw/G38afxm/GP8YPxd/Fv8Wvxa/Fz8X/xk/Gr8cfx5/IH8h/yM/JD8kfyP/Iv8hfx+/Hb8b/xp/GX8Zfxo/G78efyG/Jb8qfy8/ND84/z1/QX9Ff0i/S/9O/1H/VL9Xv1r/Xf9hP2R/Zz9p/2w/bj9vf3B/cP9xP3F/cb9x/3J/c390v3Y/d/95v3u/fX9+/4A/gT+B/4J/gr+C/4O/hH+Ff4c/iX+MP49/kv+Wv5q/nn+iP6V/qH+q/6z/rn+vf7A/sH+wv7D/sT+xv7J/s3+0v7Z/uH+6v7z/vz/Bv8P/xf/Hv8j/yf/Kv8s/yz/LP8s/yv/K/8s/y3/MP8z/zj/Pf9E/0r/Uf9X/13/Y/9n/2r/bf9u/27/bv9t/2v/av9p/2n/af9r/27/cv93/37/hv+O/5f/of+q/7T/vf/F/83/1f/b/+L/5//t//L/9//8AAEABgALAA8AFAAYABwAHwAiACUAJwApACsALAAuAC8AMQA0ADcAOgA+AEMASQBPAFYAXQBlAGwAcgB4AH0AgACBAIEAfwB8AHcAcQBrAGUAXwBaAFYAVQBVAFcAWwBhAGgAcAB5AIEAiACNAJEAlACUAJIAjgCKAIUAfwB6AHUAcQBvAG0AbQBvAHEAdAB4AH0AgQCGAIoAjgCSAJUAmACaAJsAmwCaAJkAlwCUAJIAjwCOAI0AjgCQAJQAmgCgAKgAsAC4AL8AxQDJAMsAzADLAMkAxgDEAMIAwwDFAMkAzwDXAOAA6QDyAPoBAQEFAQYBBQEBAPsA9ADsAOQA3ADVAM8AygDHAMYAxQDFAMUAxQDFAMQAwwDBAL4AuwC4ALQAsQCuAKsAqQCoAKcApwCoAKkAqwCtAK8AsQCzALUAtgC4ALkAuQC5ALkAuAC3ALcAtwC3ALgAuQC7AL0AwQDEAMkAzQDSANgA3QDjAOgA7gD0APkA/wEEAQkBDgESARYBGQEbARwBHQEdARsBGQEWAREBCwEEAPwA8gDmANoAzAC9AK4AnwCPAIAAcgBkAFYASgA9ADEAJQAZAAv//f/v/9//0P/A/7H/ov+V/4r/gf96/3T/cP9s/2n/Zv9h/1v/U/9K/z7/MP8h/xD+/v7s/tr+x/61/qP+kf6A/m/+YP5R/kT+Of4w/iv+Kf4q/i/+OP5D/lD+Xf5r/nj+gv6K/o/+kP6O/or+hP58/nX+b/5p/mb+ZP5l/mb+af5t/nD+dP53/nn+e/58/n7+f/5//oD+gP5//n3+ef5y/mn+XP5L/jj+Iv4K/fH91/2+/af9kv1//W/9YP1U/Un9P/01/Sv9IP0V/Qj8+/zt/N/80fzE/Lf8q/yg/Jb8jfyE/H38d/xy/G/8bfxt/G/8c/x5/IH8i/yX/KX8tvzI/N389f0P/S39T/1z/Zr9xP3u/hj+Qf5l/oT+m/6q/q7+qf6Y/n7+W/4w/gD9zP2X/WH9Lvz9/ND8p/yC/GH8Q/wo/BD7+vvm+9T7xPu2+6r7oPuZ+5P7jvuL+4j7hfuC+3/7evt1+2/7aPti+1z7WPtW+1X7V/ta+1/7Zvtt+3X7fPuC+4f7ivuM+4z7jPuJ+4b7g/t++3r7dftw+2r7ZPte+1b7TvtF+zv7MPsl+xj7C/r++vD64vrV+sj6u/qw+qX6nPqU+o76ifqG+oT6g/qD+oT6hvqJ+oz6j/qU+pn6oPqn+q/6uPrD+s762vrm+vT7AvsQ+yD7MPtC+1X7avuA+5j7sfvL++X7//wY/DD8RfxZ/Gn8ePyF/JH8nPyn/LP8v/zN/Nv86vz6/Qn9GP0l/TH9O/1D/Uv9Uf1Y/WD9av13/Yb9mf2v/cj94/3//h3+Ov5W/nH+i/6j/rv+0v7p/wH/Gv82/1P/c/+U/7f/3AABACYASwBwAJQAuADcAQEBJwFPAXgBpAHQAf4CKwJWAn0CnwK6AswC1gLVAssCuAKgAoMCZQJJAjICJAIhAikCPwJjApICzAMPA1cDoQPrBDMEdgS0BOsFGwVFBWsFjQWsBcoF6AYFBiIGPgZaBnQGjAahBrQGxAbSBt4G6Qb0Bv8HDAcZBygHOAdJB1gHZwd0B30HhAeHB4YHgwd8B3QHagdfB1MHRwc7By4HIQcSBwIG8gbgBs4GvAarBp0GkgaLBooGjwaaBqsGwgbeBv0HHwdDB2YHiQepB8gH5Qf/CBcILghECFoIcAiHCKAIuwjZCPgJGQk9CWIJigmzCd0KCAo0CmEKjQq5CuQLDgs3C10LggukC8ML4Av6DBIMJww7DE0MXQxsDHoMiAyVDKMMsAy+DMwM2wzrDPwNDg0gDTQNSA1cDXANhA2XDakNuQ3IDdUN4Q3sDfUN/g4HDhAOGQ4kDi8OPA5KDlkOaA54DocOlg6kDrAOuw7FDs8O1w7gDuoO9Q8CDxIPJA85D1APag+FD6EPvQ/ZD/MQDBAiEDUQRxBWEGMQbxB6EIYQkhCgEK8QwBDTEOgQ/hEWES8RSRFiEXsRkhGnEbkRxxHREdcR2RHXEdERyBG+EbQRqxGkEaIRpBGtEbsRzxHnEgMSIRI+ElkScBKAEokSiRKBEnASWBI6EhgR9BHPEasRixFvEVgRRhE5ETIRLxEwETQROhFBEUoRUxFeEWkRdRGDEZERohG0EccR2xHwEgUSGRIrEjwSShJVEl0SYRJiEl8SWRJREkYSOxIuEiESFRIJEf8R9RHtEecR4hHeEdwR2xHaEdoR2hHaEdoR2hHZEdcR1RHSEc4RyhHGEcIRvhG6EbcRtBGxEa0RqhGlEZ8RlxGNEYERdBFlEVURRRE3ESoRHxEYEUgRPxE6ETgROhE8EUARQxFEEUQRQRE7ETQRKxEiERoRFBERERERFBEbESQRLRE2ETwRPxE8ETQRJxEUEP0Q4hDHEKsQkBB4EGQQUhBEEDcQLRAiEBcQCQ/6D+gP0w++D6gPkw9/D28PYw9cD1gPWA9bD2APZA9mD2YPYA9UD0IPKQ8JDuMOtw6HDlQOHg3nDbANeQ1EDREM4AyyDIYMXAw1DBAL7QvMC60LjwtzC1gLPQskCwoK8QrXCrwKoAqDCmUKRgomCgQJ4gnACZ4JfQldCT4JIQkFCOsI0gi6CKMIjQh3CGIITQg5CCYIEwgBB/AH4AfQB8EHsgejB5QHhAdzB2AHTAc3ByAHCAbwBtcGvgamBo4GdgZfBkkGMgYdBgYF8AXZBcIFqwWTBXsFYwVLBTMFGgUCBOoE0gS5BKAEhwRuBFUEPAQkBAwD9gPgA8wDuQOoA5cDiAN4A2kDWgNKAzsDKgMaAwoC+QLpAtgCyQK5AqoCmgKKAnoCaQJWAkMCLwIaAgQB7gHYAcMBrwGdAYsBfAFtAWABVAFIAT0BMQEkARYBCAD4AOgA2ADJALsArgClAJ8AnACeAKQArQC5AMcA1gDkAPAA+AD8APoA8QDiAM0AsQCQAGwARAAc//P/zP+n/4X/Zv9L/zP/Hv8M/vz+7v7h/tb+zP7D/rr+sv6q/qP+nP6V/o7+iP6B/nr+c/5s/mb+Yf5c/ln+Vv5U/lT+U/5T/lL+UP5M/kf+Qf44/i/+JP4Z/g7+A/35/fD96P3g/dn90/3M/cX9vv21/az9o/2Z/Y/9hv19/XT9bf1m/WD9Wv1U/U/9Sf1D/Tz9Nv0w/Sr9JP0g/R39G/0a/Rv9G/0d/R79Hv0e/R39G/0Y/RX9Ef0N/Qr9B/0F/QT9BP0E/QX9Bv0H/Qj9Cf0K/Qr9Cv0K/Qn9Cf0H/Qb9BP0C/P78+vz1/PD86vzj/Nz81fzP/Mn8xPy//Lv8uPy2/LP8sfyu/Kv8pvyh/Jz8lvyP/In8gvx9/Hf8c/xv/Gz8avxo/Gf8Zfxj/GD8XfxY/FP8TfxG/D/8OPwx/Cv8Jvwi/CD8IPwh/CP8J/wq/C78Mvw1/Df8Ofw6/Dv8PPw+/EH8RfxM/FT8X/xs/Hn8iPyW/KT8sPy7/MT8y/zQ/NX82Pzb/N784vzn/O789fz9/Qb9D/0Z/SH9Kv0y/Tn9QP1I/U/9WP1h/Wv9dv2B/Y39mP2j/a39t/2+/cX9yv3P/dT92P3d/eL96f3x/fr+Bf4Q/hz+Kf42/kL+Tv5a/mT+bv52/n3+hP6J/o7+kv6V/pj+m/6e/qH+pP6o/q3+sv63/r3+xP7L/tL+2f7g/ub+7P7y/vj+/P8B/wT/CP8K/w3/D/8R/xT/Fv8Z/xz/H/8j/yj/Lf8y/zj/Pv9E/0n/Tv9S/1b/WP9b/1z/Xv9f/2H/Y/9m/2n/bv9z/3n/gP+H/4//mP+h/6r/s/+9/8f/0f/b/+b/8P/5AAIACgARABYAGgAcAB4AHgAeAB0AHAAbABsAHAAdAB8AIQAkACcAKQAsAC8AMQAzADQANwA5ADwAQABFAEoAUABWAF0AYgBmAGkAagBqAGcAYwBdAFcAUQBMAEgARwBHAEsAUABYAGEAagBzAHsAgACDAIMAfwB5AHAAZQBZAE4ARAA7ADUAMwAzADcAPgBHAFMAXwBrAHcAggCLAJEAlgCXAJYAkgCMAIUAfABzAGsAYwBdAFkAWABaAF8AZwBwAHwAhwCTAJ4AqACvALQAtgC3ALUAswCxAK8ArgCvALIAtgC8AMQAywDTANkA3gDgAOEA3wDbANYA0ADJAMIAvAC4ALQAsgCxALEAsgCzALQAtQC1ALUAswCxAK8ArACqAKcApACiAKEAoACgAKEAowClAKcAqgCtAK8AsgC0ALUAtgC2ALUAtACyALEAsACwALAAsgC1ALkAvgDFAMsA0gDZAN8A5QDqAO0A7wDwAPEA8QDxAPEA8gDzAPYA+QD+AQQBCwETARsBIwEqATIBOAE8AT8BPwE9ATgBMAEmARkBCQD4AOUA0QC8AKgAlACCAHAAYABRAEQAOAAsACAAFQAJ//3/8f/k/9f/yv++/7H/pv+a/4//hP94/2z/X/9R/0D/Lv8a/wX+7v7X/r/+p/6R/nv+Zv5T/kH+Mf4j/hX+Cv4A/fj98f3u/e397v3z/fv+Bf4S/iD+Lv49/kr+Vf5d/mP+Zf5l/mL+Xv5Y/lP+Tv5J/kf+Rv5H/kr+Tv5S/lj+Xv5l/mv+cv55/n/+hv6L/pD+lP6V/pP+jv6F/nj+Z/5S/jr+IP4E/ej9zf20/Z39iP12/Wf9Wv1O/UP9OP0s/SH9FP0G/Pj86vzc/M/8wvy2/Kv8ofyX/I78hPx7/HL8afxg/Fn8VPxQ/E/8UfxW/F78afx1/IX8lvyp/L781vzw/Q39Lv1T/Xr9pf3S/f/+K/5T/nf+kv6l/qz+qP6Y/n3+V/4p/fX9vP2D/Un9E/zg/LL8ivxo/Er8Mfwd/Av7/Pvv++T72vvR+8n7wvu7+7X7rvun+5/7lvuM+4H7dPtm+1f7Sfs7+y/7JPsb+xT7D/sM+wr7CfsI+wf7BfsD+wD6/fr6+vb68/rx+vD68Prw+vH68vry+vH67/rs+ub63vrV+sr6vvqw+qL6k/qE+nb6aPpb+k76Qvo4+i76Jvof+hr6FvoU+hP6E/oU+hb6Gfod+iH6Jvos+jP6O/pE+k/6Wvpm+nP6gPqO+pz6qvq5+sn62frr+v77Evsp+0H7Wvt0+4/7qPvA+9b76fv6/Aj8E/wd/CX8Lvw4/EP8Ufxh/HP8hvyb/K/8wvzT/OL87fz2/P39Av0G/Qv9Ev0b/Sf9Nv1J/V39dP2M/aT9u/3R/eb9+f4L/h3+L/5D/lj+cf6M/qz+zv7y/xn/QP9o/47/sv/U//QAEgAtAEgAZACAAJ4AvwDjAQoBNAFgAYsBtgHeAgECHQIxAj4CQgJAAjcCKwIeAhMCDQIPAhoCMQJTAoECugL7A0IDjAPWBB4EYQSeBNQFAgUpBUsFZwWBBZoFsgXKBeQF/wYaBjUGUAZpBn8GkwalBrQGwAbKBtMG3AbkBu0G9Qb9BwYHDQcUBxoHHwcjByYHKQcsBzAHNQc6B0EHSAdOB1QHVwdYB1QHTAdABzAHGwcFBu4G1wbDBrMGqAakBqgGswbEBt0G+gcbBz8HZAeIB6wHzQfsCAkIIwg8CFQIbAiECJ4IuQjXCPcJGglACWkJkwnACe4KHApLCnoKpwrUCv8LKAtPC3QLlwu4C9YL8wwNDCYMPgxUDGkMfQyQDKEMsgzCDNIM4QzvDP4NDQ0cDSwNPA1ODV8NcQ2EDZYNqA25DcgN1g3jDe4N+A4ADgcODQ4TDhkOHw4nDjAOOg5GDlMOYg5xDoAOkA6eDqwOuA7DDswO1Q7cDuQO7A71DwAPDQ8dDzAPRg9eD3gPkw+wD8wP6BADEBwQNBBLEGAQdRCIEJwQsBDEENkQ7xEHER4RNxFQEWkRghGaEbARxRHXEeUR8RH4EfsR+hH1Ee0R4xHYEc0RxRHAEcERxxHUEecSARIfEkESZBKFEqMSvBLNEtYS1hLNErsSoxKGEmYSRBIjEgUR6hHUEcQRuBGyEbARshG3Eb4RxxHSEd0R6hH3EgYSFhInEjkSSxJfEnEShBKUEqMSsBK5Er8SwRLAErwStBKqEp4SkRKCEnQSZhJZEk0SQhI5EjISLBIoEiUSIhIhEiASIBIgEiESIRIhEiESIRIfEh0SGxIXEhISDhIIEgMR/RH5EfUR8hHvEe4R7BHrEegR5BHeEdURyhG8EawRmhGHEXQRYxFUEZgRihF/EXYRbxFqEWYRYhFdEVgRUBFIET4RMxEpESARGhEXERgRHREmETERPRFKEVURXBFeEVsRUhFDES8RFhD7EN8QxBCqEJMQfxBuEGAQUxBIEDsQLhAeEAwP9w/gD8gPrw+WD38Paw9ZD0sPQA84DzEPKw8lDx4PFA8HDvcO4g7JDqwOig5lDj0OEg3mDbcNiA1ZDSkM+gzMDJ8MdAxKDCEL+wvWC7MLkQtxC1ILNAsWCvgK2gq8Cp0KfgpdCjwKGgn4CdYJtQmUCXUJVwk7CSAJBwjwCNkIwwisCJYIfwhnCE8INwgfCAcH8QfcB8kHuAepB5wHkAeEB3gHawdcB0sHOAciBwoG8AbVBrkGnQaCBmgGTwY4BiIGDQX5BeYF0gW/BasFlwWDBW4FWAVDBSwFFgT+BOcEzgS1BJwEgQRnBEwEMgQYBAAD6APSA70DqgOXA4YDdQNlA1QDQwMxAyADDgL9AuwC3ALNAr8CsgKlApkCjAJ+Am8CXgJLAjYCHwIIAe8B1gG+AacBkwGAAW8BYQFVAUoBQAE2ASwBIQEVAQgA+gDrANwAzgDAALQAqwCkAJ8AngCfAKMAqQCvALYAvADBAMIAwAC6AK8AnwCJAHAAUQAwAA3/6P/D/5//ff9d/0D/Jv8P/vv+6v7b/s3+wf63/q3+pP6c/pX+j/6J/oX+gP59/nn+dv5y/m7+av5l/mH+XP5Y/lT+Uf5O/kz+Sv5J/kf+Rf5B/j3+N/4x/in+IP4X/g3+BP37/fL96v3h/dn90f3J/cD9tv2s/aH9lv2L/YD9df1r/WL9Wf1Q/Uj9QP05/TD9KP0f/Rb9Dv0F/P78+Pzz/O/87fzt/O387vzv/PD88fzx/PD87fzq/Of84vze/Nr81vzT/ND8zfzL/Mn8x/zG/MT8wvzB/MD8vvy+/L38vPy8/Lr8ufy2/LL8rfyn/KD8mPyP/If8f/x3/HH8a/xn/GX8Y/xj/GP8Y/xk/GT8Zfxk/GT8Y/xi/GL8Yfxh/GH8Yfxh/GH8YPxg/F78XPxZ/FT8TvxH/D78NPwp/Bz8D/wB+/T75/vc+9P7y/vH+8b7yPvM+9T73fvo+/P7//wL/Bb8H/wo/DD8OPw+/EX8S/xR/Fj8Xvxk/Gr8b/xz/Hf8efx7/Hz8ffx//ID8g/yH/Iv8kfyY/KD8qPyw/Ln8wvzL/NX83/zp/PT9Af0O/Rz9Kv05/Uf9Vv1j/XD9e/2G/Y/9l/2f/aX9rP2z/br9wv3K/dL92v3j/ez99P39/gX+Dv4W/h7+Jv4v/jf+QP5I/lD+WP5g/mf+bv50/nn+fv6D/oj+jP6Q/pT+mP6c/qH+pf6q/rD+tf68/sL+yf7Q/tb+3f7j/uj+7P7w/vL+9P71/vX+9v73/vn+/P8A/wb/Df8U/x3/Jv8u/zb/Pv9F/0r/T/9S/1X/V/9a/1z/Xv9h/2X/af9t/3P/ef+A/4f/kP+Z/6T/r/+7/8f/1P/f/+r/8//6//8AAgADAAIAAP/9//r/+P/4//j/+///AAUADAASABkAHgAiACQAJAAjACAAHQAaABgAGAAaAB4AJAAtADcAQgBNAFcAXwBlAGgAaABlAGAAWgBTAE0ASQBGAEcASgBRAFkAYwBtAHYAfgCCAIQAggB8AHIAZwBaAE0AQQA2AC8AKwAqAC0ANAA9AEcAUwBfAGsAdAB8AIIAhQCFAIMAfgB4AHAAZwBeAFUATQBHAEMAQQBCAEYATQBWAGAAbAB4AIQAjgCXAJ4AowClAKYApgClAKQApACkAKUAqACrAK8AtAC4ALsAvQC+AL4AvAC5ALYAsQCtAKkApQCiAKAAngCdAJwAnACbAJsAmgCaAJkAmQCYAJgAmACZAJkAmgCbAJ0AnwCgAKIAowClAKcAqACqAKsArACsAKwArACrAKoAqACmAKUApACkAKUApwCrAK8AtQC7AMEAyADPANQA2ADcAN0A3gDdANwA2QDXANUA1ADUANUA1wDcAOIA6gD0AP8BCwEXASQBMAE6AUMBSgFOAU8BTAFGATsBLgEdAQkA9ADeAMcAsACbAIcAdABkAFYASgA/ADYALQAlABwAFAALAAH/9//r/+D/0//F/7f/p/+W/4P/b/9Y/z//Jf8J/uv+zf6u/pD+dP5Y/j/+Kf4V/gT99v3q/eD92P3S/c39yv3J/cn9zP3Q/df93/3p/fT+AP4M/hj+Iv4q/jD+NP42/jX+M/4w/iz+KP4l/iP+I/4k/if+K/4x/jn+Qf5K/lT+Xv5p/nP+ff6G/oz+kP6R/o7+h/57/mv+WP5A/if+DP3x/db9vv2n/ZP9gv1z/WX9Wf1N/UD9M/0l/Rb9Bvz1/OX81fzH/Ln8rvyk/Jv8k/yL/IL8efxv/GX8WvxP/Eb8Pvw4/Db8N/w7/EL8TPxZ/Gj8ePyK/J38svzJ/OT9Av0l/Uv9df2j/dL+Af4t/lX+df6M/pj+mP6L/nL+T/4i/e/9uP1//Ub9Efzg/LX8kPxx/Fj8RPw1/Cr8Ifwa/BT8D/wK/AX7//v4+/D75vva+8z7vPuq+5b7gfts+1j7RPsy+yL7FPsI+v/69vru+ub63frT+sj6vPqv+qL6lfqK+oH6evp2+nX6d/p7+oD6hfqK+oz6jPqJ+oP6evpv+mH6UvpD+jP6I/oU+gf5+vnv+eT52/nT+cz5xvnB+bz5ufm3+bb5t/m4+br5vvnC+cj5zvnW+d756Pn0+gD6Dvoc+iv6O/pK+ln6aPp2+oX6lPqk+rb6yfre+vX7Dfsn+0H7Wvty+4f7mfup+7T7vvvF+8v70vvZ++P78Pv//BH8JPw5/E38YPxx/H/8ifyR/Jb8mfyc/J/8pPyr/LT8wPzO/N787vz//Q79HP0o/TL9O/1E/Uz9Vv1j/XP9h/2f/bz93P3//iT+Sv5w/pX+t/7X/vT/Dv8l/zv/UP9k/3r/kf+r/8j/6QANADQAXQCGAK8A1wD7ARsBNwFOAWEBcAF9AYsBmwGuAcgB6gITAkYCgALBAwYDTwOXA94EIARcBJEEvwTlBQYFIgU7BVIFaAWABZgFswXPBesGCAYjBj0GVAZoBngGhAaOBpUGmQabBp0GnQaeBp4GnwagBqIGpAapBq8GuAbEBtIG4wb4Bw4HJgc+B1QHaAd4B4IHhgeDB3kHaAdSBzgHGwb/BuUGzwa/BrcGtga+Bs4G5gcDByYHTAd0B5wHwwfoCAsIKwhKCGYIgQicCLgI1Qj0CRUJOQlgCYkJtQniChAKPwpuCpsKxwrxCxoLQAtkC4YLpwvGC+QMAAwcDDcMUgxrDIQMmwyxDMYM2QzqDPsNCg0ZDScNNQ1DDVENYA1vDX8NkA2gDbENwg3SDeEN7g37DgYOEA4YDiAOJg4tDjMOOQ5ADkgOUQ5bDmYOcg5/Do0Omw6pDrYOww7ODtkO4w7sDvQO/g8HDxMPIA8wD0MPWQ9xD4wPqA/GD+UQBBAjEEEQXxB7EJcQshDNEOcRAREbETURTxFoEYARmBGvEcQR2BHrEfsSCRIVEh4SJBImEiYSIhIbEhESBxH7EfER6BHjEeMR6RH0EgUSGxI2ElMScBKMEqUSuBLEEsoSxxK9Eq4SmhKCEmoSUxI+EiwSHxIXEhMSFBIZEiESKxI3EkQSUhJhEnASgBKREqMStRLHEtgS6hL5EwcTEhMaEx8TIBMeExgTEBMEEvcS6RLaEsoSvBKuEqISlxKNEoYSfxJ6EnYSchJuEmsSaBJkEmESXhJbElgSVhJUElQSVBJUElQSVBJTElISTxJLEkcSQRI7EjUSLxIqEiYSIxIgEh0SGxIXEhISCxICEfcR6RHaEckRuBGnEfcR5xHYEckRuxGtEaARlBGHEXoRbhFgEVMRRxE8ETQRLhEsES4RNBE+EUsRWRFoEXURfxGFEYYRgRF1EWQRThE1ERoQ/hDkEMoQtBCgEI4QfxBwEGIQUxBDEDIQHhAID/EP2Q/BD6kPkQ98D2gPVQ9EDzQPJQ8WDwYO9Q7jDs8OuQ6gDoUOaA5IDiYOAQ3bDbINhw1cDS8NAgzUDKcMeQxNDCIL9wvOC6YLfwtZCzQLDwrsCsgKpQqCCmAKPQobCfkJ2Am3CZgJeQldCUIJKQkSCPwI6AjVCMIIrgiaCIQIbAhTCDkIHggCB+cHzge3B6IHkAeBB3QHaQdfB1UHSQc8BywHGQcDBusG0Aa1BpgGfAZhBkcGLwYYBgMF8AXdBcoFuAWlBZIFfwVrBVcFQwUuBRoFBQTwBNoEwwSrBJMEeQRfBEQEKQQOA/QD2wPEA64DmQOGA3QDYQNQAz4DLAMZAwcC9QLkAtMCxAK3AqoCnwKVAosCgAJ0AmYCVQJBAisCEwH6AeABxgGuAZcBgwFxAWMBVgFMAUIBOQEuASMBFwEJAPoA6gDaAMwAvgCyAKkAowCgAJ4AnwChAKMApQCmAKUAoQCbAJEAhABzAF8ASAAvABP/9v/Y/7n/m/9+/2L/SP8x/xv/CP74/un+3P7Q/sX+u/6y/qn+of6Z/pL+jP6G/oH+fv57/nj+df5z/nD+bf5p/mT+X/5a/lX+T/5K/kX+Qf49/jn+Nf4w/iz+J/4i/hz+Fv4P/gf9//33/e795v3c/dP9yP2+/bL9p/2b/Y/9g/13/Wz9Yv1Y/U/9R/0//Tf9MP0n/R/9Ff0M/QL8+Pzv/Ob83/zY/NP8z/zM/Mn8x/zF/MT8wfy+/Lv8t/yy/K38qfyk/KD8nPyY/JX8kvyP/Iv8iPyE/ID8fPx4/HX8cvxw/G78bfxr/Gr8afxn/GT8YPxa/FT8TfxF/D78N/ww/Cv8J/wk/CP8Ivwj/CX8J/wq/C38MPw0/Df8O/w//EP8R/xL/E78UPxR/FD8TvxK/EX8Pvw2/C38I/wY/A38Afv0++f72vvM+7/7s/uo+5/7mfuV+5X7mfuh+6v7uPvH+9f75/v2/AL8DfwV/Br8Hfwd/Bz8G/wZ/Bj8F/wY/Bn8HPwg/CT8Kfwv/DT8OvxB/Ef8TvxV/F38Zfxt/HX8ffyG/I/8l/yg/Kn8s/y+/Mr81vzj/PH9AP0O/Rz9Kv04/UT9T/1a/WP9bP10/Xv9g/2K/ZH9mP2f/aX9rP2y/bj9vf3D/cn9z/3W/d395f3u/ff+AP4K/hT+Hv4n/jD+OP5A/kj+T/5V/lv+Yf5m/mv+b/5z/nb+ef58/n/+gv6F/or+kP6W/p7+pv6u/rf+v/7G/sv+0P7T/tX+1v7X/tj+2f7c/uD+5v7t/vb/AP8K/xT/Hv8o/zD/OP8//0T/Sv9O/1L/Vv9Z/13/YP9j/2b/af9t/3H/dv98/4P/i/+U/57/qf+z/73/xf/M/9D/0v/T/9H/z//N/8z/zP/O/9P/2v/k/+///AAJABQAHgAmACoAKwApACQAHgAYABEADQAKAAsADwAWAB8AKwA3AEMATwBYAF4AYgBjAGIAXwBbAFcAVABTAFUAWgBiAGwAeACFAJIAngCoAK8AswC0ALIArgCoAKAAmACRAIoAhQCBAH4AfAB7AHoAeQB4AHYAdAByAG8AbABoAGUAYgBeAFsAWABWAFMAUABOAEwASwBMAE4AUQBWAFwAYwBrAHMAfACDAIoAkACVAJgAmgCcAJ0AngCeAJ8AoAChAKIAowCjAKMAowCiAKEAnwCdAJsAmgCYAJYAlQCTAJEAjgCMAIkAhgCDAIAAfgB8AHwAfAB9AIAAgwCHAIoAjgCRAJQAlQCWAJYAlgCVAJQAkgCRAJAAkACPAI8AjwCPAJAAkACRAJIAkwCVAJcAmQCdAKEApACpAK0AsQC0ALcAuQC7ALwAvAC8ALwAuwC6ALoAuQC5ALoAvAC+AMMAyADPANgA4gDtAPoBBwEUASABKwE0ATkBPAE6ATUBKwEdAQ0A+QDkAM4AtwCiAI0AewBqAFwAUABGAD4ANwAxACwAJgAfABgAEAAG//v/7//g/9D/vv+q/5P/ev9f/0P/JP8D/uL+wP6e/n7+X/5D/ir+FP4C/fP95/3e/df90v3O/cv9yP3F/cL9wP2+/b79vv3A/cP9yP3N/dT92/3h/ef97P3w/fL98v3x/fD97f3r/er96f3q/e398v35/gH+DP4Z/ib+Nf5D/lL+X/5q/nP+eP55/nb+b/5i/lL+Pv4n/g/99v3d/cX9r/2c/Yr9e/1t/WD9U/1F/Tf9J/0W/QT88vzf/M78vvyv/KP8mPyP/Ij8gPx5/HH8aPxe/FP8SPw9/DP8K/wm/CP8JPwn/C78N/xC/E/8XPxq/Hr8jPyg/Lj81Pz1/Rr9RP1y/aL90v3//ij+Sv5i/m/+cP5k/k7+LP4D/dP9oP1s/Tr9Cvzg/Lr8m/yC/G/8YfxW/E/8SvxH/ET8Qfw+/Dr8Nfwt/CP8FvwH+/X74PvK+7P7m/uE+277WvtK+zv7MPsm+x77FvsN+wL69frk+tH6vPql+o36dvph+k/6Qfo3+jL6MPox+jT6OPo7+jv6Ovo1+i36IvoV+gf5+Pnp+dv5z/nD+br5sfmq+aT5nvmY+ZL5jfmI+YT5gPl9+Xz5e/l8+X35gPmE+Yj5jvmU+Zz5pfmw+bz5yvnY+ej5+PoI+hj6J/o2+kT6U/pi+nP6hfqZ+q/6x/rh+vr7FPss+0H7U/ti+237dft6+3/7hPuJ+5H7nPuq+7r7zfvg+/P8BfwV/CL8K/wy/Db8Ofw7/D78QfxH/E78Vvxg/Gr8dPx8/IP8h/yK/Iz8jfyO/JH8l/yf/Kz8vPzQ/Oj9Av0e/Tz9Wv13/ZT9sP3L/eT9/P4T/ir+P/5U/mn+fv6T/qn+wP7Z/vT/Ef8x/1L/dv+c/8P/6gARADcAXQCCAKcAzQD1ASABTgGBAbkB9QI3An0CxAMNA1QDmgPaBBYESwR6BKQEyAToBQQFHwU5BVQFbgWJBaUFwAXbBfQGDAYhBjIGQQZMBlUGWgZdBl8GXwZeBl4GXgZfBmEGZgZtBngGhgaYBq4GxwbkBwIHIwdDB2MHfweYB6sHtge7B7cHrAeZB4EHZQdGBycHCgbxBt8G1AbRBtgG5wb/Bx0HQQdpB5MHvQfnCA4INAhWCHYIkwivCMsI5wkECSQJRglqCZIJvAnnChQKQgpvCpsKxgrwCxgLPgtiC4ULpwvIC+kMCQwoDEYMZAyBDJwMtgzNDOMM9g0IDRgNJg00DUENTg1cDWoNeQ2IDZgNqQ26DcsN3A3sDfwOCg4YDiUOMQ48DkYOUA5ZDmEOaQ5xDngOgA6HDo8Olw6fDqkOsw6+DskO1Q7iDvAO/g8NDx0PLg9BD1UPaw+DD50PuQ/WD/QQExAyEFEQbhCLEKcQwhDcEPYRDxEpEUMRXRF4EZIRrBHGEd4R9BIHEhkSJxIzEjwSQhJGEkkSSRJHEkQSPxI5EjESKhIiEhsSFhIUEhUSGhIjEjASQRJVEmkSfhKREqISrhK1ErYSsxKrEp8SkhKEEncSbBJlEmESYRJlEm0SeBKEEpMSoxK0EsUS1xLpEvwTDhMhEzQTRhNWE2QTbxN3E3sTexN3E28TYxNVE0UTMxMhExATABLxEuQS2RLQEskSxBLAEr0SuhK3ErUSsRKtEqgSoxKcEpUSjhKHEoESfBJ5EnYSdhJ3EnkSexJ9En8SgBJ/EnwSeBJyEmoSYhJbElMSTRJIEkUSQhJBEkASPxI9EjkSMxIrEiASFBIGEkASMRIgEg8R/hHsEdwRzBG8Ea4RoBGTEYgRfRF0EW4RahFoEWoRbxF3EYERjRGYEaMRqhGuEa4RqBGdEY0ReRFhEUYRKxEQEPYQ3hDIELQQoxCSEIMQcxBkEFMQQBAtEBgQAg/sD9UPvg+oD5EPfA9mD1EPPA8nDxEO+w7kDswOsg6XDnoOXA46DhcN8Q3JDZ4Ncg1EDRYM5wy3DIgMWgwsDAAL1AuoC34LVAsqCwEK2AqwCokKYgo9ChkJ9wnWCbYJmAl8CWEJRwkvCRkJBAjwCN0IzAi6CKgIlQiBCGwIVQg8CCEIBgfqB88HtQedB4gHdQdmB1gHSwdABzQHJgcXBwUG8QbbBsIGqAaOBnQGWwZDBi0GGQYGBfQF4wXRBb8FrAWYBYMFbQVXBUAFKgUVBQAE6wTXBMIErQSXBIAEaARPBDYEGwQBA+cDzgO2A6ADiwN3A2QDUgNAAy4DGwMJAvYC5ALSAsICswKlApkCjwKFAnsCcQJlAlcCRwI0Ah4CBgHtAdQBuwGkAY8BfAFtAV8BUwFJAT4BMwEmARgBBwD2AOQA0gDCALQAqAChAJ0AnQCgAKQAqQCuALEAsQCtAKYAmQCJAHUAXgBEACgADP/w/9P/uP+d/4T/bP9V/0H/Lf8c/wz+/f7x/uX+2/7S/sn+wf65/rL+q/6k/p3+l/6R/oz+iP6E/oH+fv57/nj+dP5v/mr+Y/5c/lX+Tf5F/jz+Nf4t/ib+IP4b/hX+Ef4M/gf+Av39/ff98P3o/d/91v3M/cD9tf2o/Zv9j/2C/XX9af1e/VP9Sf1A/Tf9L/0n/R/9F/0P/Qf8//z3/O/85/zg/Nr81PzP/Mv8yPzF/MH8vvy6/LX8r/yp/KL8mvyS/Iv8g/x8/Hb8cPxr/Gb8Yvxd/Fn8VPxO/Ej8Qvw8/Db8MPwr/Cf8JPwh/B/8Hfwc/Br8GPwV/BL8D/wL/Af8BPwB+//7/vv++/78APwD/Ab8CfwO/BL8F/wd/CP8Kfwv/Db8O/w//EH8Qfw//Dn8Mfwn/Bv8Dfv+++/74PvT+8b7vPuy+6r7pPue+5n7lfuS+5H7kfuU+5j7n/uo+7P7wPvM+9j74/vs+/L79Pv0+/D76/vj+9z71PvP+8v7yvvM+9D71/vg++v79vwB/A38GPwj/C38N/xA/Ej8UfxZ/GH8avxy/Hr8g/yM/JX8n/yp/LT8v/zK/Nb84vzu/Pn9BP0O/Rf9IP0o/TD9N/0+/UX9TP1T/Vr9Yf1o/W79dP16/YD9hv2M/ZP9mv2i/av9tP2+/cj90f3b/eP96/3y/fj9/v4E/gr+EP4X/h7+Jf4s/jT+O/5B/kb+Sf5M/k7+UP5R/lP+Vv5a/mD+aP5x/nv+hv6Q/pr+o/6q/rD+tf64/rv+vv7B/sX+yv7Q/tf+4P7o/vL++/8E/w3/Ff8d/yX/LP80/zv/Qv9I/07/VP9Y/1v/Xv9g/2H/Yv9l/2j/bP9y/3n/gf+K/5L/m/+i/6f/qv+s/63/rf+t/63/sP+1/73/x//U/+T/9AAEABMAIAAqADEAMwAzAC8AKQAiABwAFgASABAAEQAVABwAJAAtADcAQABJAFAAVQBYAFoAXABdAF4AYQBlAGwAdgCCAJAAoACyAMQA1QDmAPUBAwENARYBHAEgASIBIgEfARsBFAELAQAA8gDiANEAvQCqAJYAgwByAGQAWABQAEsASgBKAE0AUQBVAFgAWwBdAF4AXgBdAF0AXABcAF0AXwBiAGYAawBxAHcAfACCAIcAjACQAJMAlgCYAJkAmgCZAJgAlwCUAJIAjwCNAIsAiQCIAIgAiQCKAIsAiwCLAIoAiQCGAIIAfgB6AHYAcwBxAHEAcgB0AHgAfACAAIUAiACKAIsAiwCJAIcAgwCAAHwAeQB3AHYAdQB1AHYAeAB7AH0AgACEAIcAiwCOAJEAlACXAJkAmgCaAJoAmQCXAJUAkwCRAI8AjgCNAI0AjgCPAJAAkQCSAJIAkwCUAJUAlwCaAJ8ApgCvALoAxgDUAOIA7wD7AQUBCwEOAQ0BCAD+APEA4QDPALsApgCSAIAAbgBfAFIASABAADkANQAxAC0AKQAlAB8AGAAPAAT/9v/n/9T/wP+p/5D/df9Y/zn/Gf74/tf+tf6V/nb+WP4+/if+FP4E/fj98P3q/eb94/3h/d792v3U/cz9w/25/a79pP2b/ZP9jf2K/Yn9iv2N/ZH9lf2Z/Zz9nv2e/Z39m/2Z/Zf9lf2V/Zj9nf2k/a/9vf3N/d/98/4H/hr+LP48/kn+Uf5W/lX+T/5F/jf+JP4Q/fn94v3L/bX9oP2N/Xz9bP1e/VD9Qv00/SX9Ff0F/PT84/zT/MP8tfyo/J38k/yK/IH8efxw/Gb8XPxR/Eb8O/ww/Cf8Ifwc/Br8G/we/CT8K/wz/Dv8RfxQ/Fz8a/x9/JP8rvzP/PT9Hv1L/Xn9pv3Q/fX+Ef4k/iz+KP4a/gH94P25/Y79Yv02/Q385/zH/Kv8lfyE/Hf8bvxo/GT8Yvxg/F/8Xvxc/Fn8VfxO/EX8Ofwr/Bn8Bvvx+9r7xPuv+5z7i/t8+3H7aPth+1r7U/tJ+z37LfsZ+wH65vrI+qn6ivpt+lP6Pfor+h36FPoN+gn6BfoB+fv59Pnr+eD50/nG+bn5rPmh+Zj5kPmK+YX5gfl9+Xr5dflw+Wv5Zflf+Vr5VvlT+VL5UflS+VT5VvlY+Vr5XPlf+WL5Zvlr+XL5e/mF+ZH5n/mu+b35zPnb+ev5+/oM+h36MfpH+l76ePqS+q76yPrh+vf7CfsY+yL7Kfsu+zL7Nfs7+0L7Tvtc+277gvuY+677w/vW++b78/v9/AT8CfwO/BL8Fvwa/CD8Jfwq/C78Mvwz/DP8Mfwv/C38Lfwu/DL8OvxF/FP8ZPx2/In8nPyt/L78zfzb/On8+P0I/Rr9Lv1G/V/9e/2X/bP9zf3m/fz+D/4h/jH+Qv5U/mn+gv6g/sP+6v8W/0b/ef+t/+MAGABOAIQAugDyASsBZwGlAeYCKwJxArgDAANHA4sDzAQIBD8EcQSdBMQE5wUGBSIFOwVTBWoFgAWWBasFwAXTBeYF9wYGBhMGHQYmBi0GMgY2BjoGPwZEBksGVQZiBnIGhgaeBroG2Qb7Bx8HRAdqB44HsAfPB+gH/AgJCA4IDAgBB+8H1ge4B5YHcwdRBzIHGAcFBvsG+gcDBxUHMAdRB3cHoAfLB/UIHQhECGcIhwilCMII3gj7CRkJOgldCYIJqgnVCgEKLgpbCogKtArfCwkLMgtZC4ALpQvKC+4MEgw1DFYMdwyVDLIMzAzkDPkNDA0cDSsNOQ1GDVQNYQ1vDX4Njw2fDbANwg3TDeUN9Q4FDhUOIw4yDkAOTQ5bDmgOdQ6CDo4Omg6kDq0OtA67DsEOxg7LDtEO2A7hDuwO+Q8JDxwPMg9LD2YPgw+iD8MP5RAIECwQTxBxEJEQsBDMEOYQ/BEQESIRMhFCEVIRYxF1EYoRoBG5EdQR7xIJEiMSOhJNEl0SaBJvEnISchJvEmsSZRJgElsSVhJTElASTxJPElASUhJWElsSYxJsEncShBKREp8SrRK6EsQSzBLSEtUS1RLUEtESzhLMEssSyxLOEtMS2RLiEusS9hMCEw4TGxMoEzcTRxNYE2sTfhORE6QTtBPCE8sT0BPQE8oTvxOvE5sThRNuE1cTQBMsExoTCxL/EvcS8BLsEukS6BLmEuYS5RLjEuES3xLbEtcS0hLMEsUSvhK3ErESqhKmEqISoBKfEqASohKkEqYSqBKpEqgSpRKhEpsSlBKNEoYSfxJ5EnUSchJxEnAScRJxEnASbhJqEmMSWhJOEmcSWhJMEj0SLxIiEhUSChIAEfcR7xHoEeIR3BHXEdIRzhHMEcoRyRHKEcsRzBHOEc4RzRHKEcMRuRGrEZoRhRFvEVYRPREkEQ0Q9hDiEM8QvxCvEKAQkhCDEHMQYhBQED0QKBATD/0P5g/QD7kPoQ+KD3MPWw9DDysPEQ73DtwOvg6gDn4OWg4yDggN2w2qDXgNRA0PDNsMpwx2DEYMGAvsC8ILmQtyC0oLIgr6CtEKqQqAClgKMQoMCekJyAmqCY4JdAlbCUUJLwkaCQUI8gjeCMsIuAilCJEIfQhpCFMIPAgkCAsH8gfZB8AHqAeSB30HawdZB0kHOQcpBxgHBgbyBtwGxQasBpMGegZiBkwGOAYmBhYGCAX6Be0F3wXQBb8FrAWXBYEFaAVPBTYFHQUFBO0E1gTABKsElQR/BGkEUgQ5BCAEBwPuA9UDvQOmA5ADewNoA1UDQwMxAx8DDQL6AucC1QLCArECoQKSAoUCeQJuAmMCWAJMAj4CLQIbAgYB8AHYAcEBqQGTAX8BbgFeAVABQwE2ASkBGwELAPkA5gDTAL8ArgCfAJQAjgCNAJAAmACiAK0AtwC/AMMAwgC7AK0AmgCBAGQARQAkAAP/4//E/6j/jv92/2D/TP86/yn/Gf8K/vz+8P7k/tr+0f7J/sL+vP63/rH+rP6n/qH+m/6W/pD+i/6F/oD+fP53/nP+bv5o/mH+Wv5R/kj+Pf4z/ij+Hf4T/gr+Af36/fT97/3q/eb94v3e/dj90v3L/cL9uP2u/aL9lv2J/X39cf1k/Vn9Tv1D/Tn9L/0m/Rz9E/0J/QD89/zu/Ob83/zZ/NT80PzO/M38zPzN/M38zvzO/M38y/zI/ML8vPyz/Kn8n/yT/If8e/xw/GX8W/xS/En8Qfw6/DP8LPwl/B78FvwO/Ab7//v4+/H77Pvn++T74fvg+9/73/vg++D74fvh++P75Pvl++f76vvu+/L79/v8/AL8CPwP/BX8HPwi/Cj8Lvwy/DX8N/w2/DL8LPwi/Bb8Bvv1++H7zfu6+6j7mPuL+4H7e/t4+3j7evt++4T7ivuR+5j7nvul+637tPu7+8L7yPvO+9H70vvR+8z7xvu9+7L7qPud+5X7j/uN+477lPud+6n7t/vH+9f75/v1/AL8DvwX/B/8Jvwr/DD8Nfw7/EH8R/xP/Ff8YPxp/HT8fvyK/JX8oPyr/LX8wPzJ/NH82fzf/OX86/zw/Pb8+/0B/Qj9D/0W/R39Jf0t/TX9PP1E/Uz9VP1d/Wb9cP17/Yb9kf2d/af9sf26/cH9xv3K/cz9zv3Q/dL91f3Z/d795f3t/fb9//4I/hD+Fv4b/h7+H/4g/iD+If4j/ib+K/4y/jv+Rf5R/lz+aP50/n7+h/6Q/pf+nv6l/qz+sv65/sD+x/7O/tX+3P7i/uj+7v70/vv/Av8K/xP/HP8l/y7/N/8+/0P/R/9K/0z/Tf9O/1D/U/9X/17/Zv9v/3n/g/+N/5X/m/+f/6L/o/+l/6b/qf+u/7X/vv/K/9f/5v/1AAIADgAYAB8AIwAlACQAIgAfABwAGQAYABgAGgAdACEAJwAsADIAOAA9AEIARgBKAE4AUwBYAF8AZwBxAH0AiwCaAKsAvQDQAOMA9gEJARsBLQE9AUwBWQFlAW0BcwF2AXQBbgFjAVMBPgEmAQoA7ADNAK8AkwB6AGYAVwBNAEgARwBKAE8AVQBaAGAAYwBlAGQAYgBfAFwAWABVAFMAUwBUAFYAWgBeAGQAagBxAHcAfQCEAIkAjgCSAJQAlgCVAJQAkQCOAIoAhgCDAIAAfwB/AIAAgwCGAIoAjQCPAJAAkACOAIwAiACEAIEAfgB9AHwAfQB/AIIAhQCIAIoAiwCKAIkAhgCCAH4AegB2AHMAcQBwAHAAcQBzAHYAeQB8AIAAgwCHAIsAjwCSAJUAmACZAJgAlgCTAI0AhgB+AHUAbQBkAF0AVwBSAE8ATgBOAE4ATwBPAFAATwBPAE8ATwBQAFMAWQBhAGsAeACHAJYApgC0AMEAygDQANIA0ADJAL8AsQCiAJEAgABvAF8AUQBFADsANAAvACsAKQApACgAJgAkACAAGgARAAX/9//l/9H/u/+i/4j/bf9Q/zP/Ff72/tj+uf6b/n/+ZP5L/jX+Iv4T/gf9//35/fb99P3y/e/96/3j/dn9zP28/av9mf2H/Xf9aP1d/VX9UP1N/U39Tv1Q/VH9Uf1P/U39Sf1E/T/9PP06/Tv9QP1I/VT9Zf14/Y79pv2+/db97f4A/hH+Hf4k/ib+JP4c/hH+Af3v/dv9xf2w/Zr9hv1z/WH9Uf1D/TX9Kf0d/RH9Bfz5/O384vzW/Mv8wPy2/Kz8ofyX/I38gvx2/Gr8XvxR/EX8O/wx/Cn8JPwh/B/8IPwj/Cb8K/wv/DX8O/xC/Ez8WPxp/H78mPy4/Nz9BP0t/Vb9fv2g/bz9z/3Y/df9zf25/Z39ff1Y/TP9Dvzr/M38svyc/Iv8fvx1/G78avxo/Gb8Zvxm/Gb8Z/xn/Gb8Zfxi/F38VvxM/ED8Mvwh/A/7/fvq+9j7yPu6+637ovuY+477g/t1+2b7Uvs7+yH7A/rj+sL6oPqA+mL6R/ow+hv6Cfn6+e354PnT+cb5t/mo+Zn5ivl8+W/5Y/la+VP5TflJ+Ub5Qvk++Tn5M/kt+Sb5IPka+Rb5E/kT+RT5F/kb+R75Ifkj+SP5Ivkf+Rz5GfkW+Rb5GPkc+SP5Lfk6+Uj5WPlp+Xv5jfmh+bb5zfnm+gH6Hvo7+ln6dvqR+qn6vPrL+tb63frh+uT66Pru+vf7BfsX+y37Rvti+377mvuz+8r73vvt+/r8BPwL/BL8F/wb/B78Ifwi/CL8IPwd/Br8FvwU/BP8Fvwd/Cj8N/xJ/F38cfyE/JP8n/ym/Kn8qPyk/KH8n/yh/Kr8ufzP/Oz9Dv0z/Vr9gP2j/cH92v3u/f3+Cv4W/iX+N/5Q/m/+l/7G/vz/N/92/7b/9gA0AHAAqQDeARIBRAF3AasB4QIbAlgCmALcAyADZQOpA+oEJwReBJAEugTfBP0FFwUsBT4FTwVeBW4FfgWOBaAFsQXCBdIF4AXtBfgGAAYIBg4GFQYdBiYGMwZDBlgGcAaNBq4G0gb5ByMHTgd5B6UHzwf4CB4IQAhdCHIIgAiGCIEIcghZCDgIDwfiB7IHhAdZBzUHGgcKBwYHDgcgBzwHXweHB7MH3wgLCDQIXAiACKMIwwjkCQUJJwlLCXEJmgnECfEKHwpNCnsKqQrXCwMLLgtYC4ELqQvRC/cMHQxCDGUMhgymDMQM3wz4DQ8NIw01DUYNVg1lDXQNgw2SDaINsg3CDdIN4g3xDf8ODQ4bDigONA5BDk8OXQ5sDnwOjQ6eDq8Ovw7ODtwO6A7yDvsPAg8JDxEPGQ8kDzIPQw9YD3EPjQ+tD9AP9hAeEEYQbxCYEL8Q5BEHESYRQRFYEWoReBGDEYsRkRGXEZ4RpxG0EcUR2RHyEg4SKxJIEmQSfRKREp8SpxKpEqYSnhKTEocSexJxEmkSZhJlEmkSbxJ4EoMSjxKbEqYSsRK8EsUSzhLWEt4S5RLsEvMS+hMBEwgTEBMYEyETKhM0Ez4TSBNRE1kTYRNnE2sTbxNyE3YTehOAE4kTlROjE7QTxxPaE+0T/RQJFA8UEBQJE/0T6hPTE7kTnROCE2gTURM+Ey4TIxMbExUTEhMQEw8TDhMNEwsTChMIEwYTBBMDEwETABL+EvwS+RL2EvIS7RLpEuQS4BLcEtoS2BLXEtYS1xLXEtcS1xLVEtMS0BLMEscSwhK9ErgSsxKvEqoSphKiEp4SmBKREokSfxJ0EokSgBJ3Em8SaBJiEl0SWRJWElMSURJPEkwSSRJFEj8SOBIwEicSHhITEgkR/hH0EekR3hHSEcQRthGlEZMRgBFsEVYRQREsERkRBhD1EOYQ1xDKEL0QrxCiEJMQgxByEGAQTBA4ECMQDg/4D+EPyQ+xD5gPfg9jD0cPKQ8KDuoOxw6hDngOTA4dDeoNtA17DUENBgzMDJMMXQwrC/0L0wutC4oLaQtJCygLBgriCr0KlgpuCkYKHgn4CdUJswmVCXoJYQlJCTQJHwkKCPUI4QjMCLcIogiMCHcIYQhMCDYIHwgJB/EH2gfDB6wHlgeBB20HWgdHBzUHIgcOBvkG4wbMBrQGmwaCBmkGUwY+BiwGHAYPBgQF+gXxBecF3AXQBcEFrwWbBYUFbQVUBToFHwUFBOsE0gS5BKAEiARvBFYEPQQkBAsD8gPZA8EDqgOUA38DawNYA0UDMwMhAw8C/ALqAtcCxAKyAqACjwJ/AnACYwJWAkkCPAIuAh8CDgH7AeYB0AG5AaIBiwF1AWEBTgE9AS0BHwEQAQIA8gDiANEAvwCtAJ0AjwCFAH8AfgCCAIoAlgCkALEAvADEAMYAwQC1AKIAiABpAEcAIv/9/9n/uP+Z/33/Zf9Q/z3/LP8d/w7/AP7z/uf+2/7R/sf+wP65/rT+sP6s/qj+pP6f/pn+kv6L/oT+fP51/m7+Z/5h/lv+Vf5P/kf+P/42/iz+IP4U/gf9+v3u/eP92v3R/cv9xf3B/b39uv22/bH9q/2k/Zv9kf2H/Xv9cP1k/Vr9T/1G/T39Nf0s/ST9G/0S/Qj8/vzy/Of83fzS/Mr8wvy9/Ln8uPy4/Ln8vPzA/MP8xvzJ/Mr8yvzI/MX8v/y4/K78o/yW/Ij8evxq/Fv8TPw+/DH8Jfwb/BH8CfwB+/r78vvq++L72vvS+8v7xPu++7n7tvu1+7X7t/u5+737wPvF+8n7zfvS+9f73fvj++v78/v7/AX8DvwW/B78Jfwq/C38Lfwr/Cb8H/wU/Af7+Pvm+9L7vfuo+5L7fvts+177UvtL+0j7SvtP+1f7Yftt+3n7hfuQ+5r7ovuo+637r/uw+7D7rfup+6P7m/uS+4f7e/tw+2X7XPtW+1P7VPta+2X7c/uF+5j7rfvB+9P75Pvy+/38BfwK/A38DvwP/A/8EPwS/BX8Gvwg/Cj8Mfw7/Ef8U/xg/G38evyH/JL8nfym/K78tPy5/L78wfzE/Mj8y/zP/NT82vzh/Oj88Pz5/QH9Cv0T/R39Jv0w/Tv9R/1T/V/9bP15/YT9j/2Y/aD9pf2p/ar9qv2q/an9qf2q/az9sf22/b79xv3P/df93/3l/er97f3u/e/97/3v/fD98/33/f3+Bf4P/hv+J/40/kH+Tv5c/mj+df6B/o3+mP6j/q7+t/6//sX+y/7P/tL+1f7Y/tz+4P7m/u3+9v7//wn/Ev8b/yL/Kf8t/zH/M/82/zn/Pv9E/03/V/9i/2//fP+I/5P/m/+i/6b/qP+p/6r/q/+t/7H/tv++/8f/0f/b/+T/7f/0//n//QAAAAEAAwAFAAcACgAOABMAGAAdACMAKAAsADAAMwA1ADgAOwA/AEQASgBRAFsAZgByAH8AjACaAKkAtwDFANMA4ADuAPwBCwEZASgBNgFDAU8BWQFfAWEBXgFWAUkBNwEgAQYA6QDMALEAlwCCAHEAZgBfAF0AXgBhAGUAagBtAG4AbQBqAGYAYABZAFMATgBKAEcARwBIAEoATgBTAFgAXwBlAGwAcwB7AIIAiACOAJIAlQCXAJYAlACQAIwAhwCDAIAAfgB/AIAAhACIAI0AkgCWAJkAmgCZAJgAlQCSAI8AjACLAIoAiwCMAI0AjgCOAI0AiwCIAIUAgAB8AHgAdQBzAHIAcwB1AHgAewB+AIEAhQCHAIoAjACOAJEAlACWAJkAmgCaAJkAlQCPAIYAewBuAGAAUQBDADYAKgAhABoAFQASABAAEAAPAA4ADQAMAAsACgAKAA0AEQAYACIALgA9AEwAWwBpAHUAfwCFAIgAhgCBAHkAbwBjAFYASQA9ADIAKAAgABsAFwAWABYAFwAYABoAGwAaABgAEwALAAD/8v/i/8//uv+k/43/dv9f/0j/Mf8a/wL+6v7Q/rf+nf6D/mr+U/4+/iz+Hf4S/gr+BP3//fr99f3t/eL91f3E/bH9nP2H/XL9X/1O/UH9Nv0u/Sr9Jv0j/SH9Hf0Y/RL9C/0E/P389/z0/PP89/z//Qv9G/0u/UX9XP11/Y39o/23/cf91P3d/eD94P3b/dP9x/24/aj9lv2D/XD9Xv1N/T39L/0i/Rf9Df0E/Pz89fzu/Oj84fza/NP8zPzE/Lv8sfyn/Jv8j/yC/HX8aPxc/FD8Rvw+/Dj8NPwy/DH8Mvw0/Df8Ovw8/ED8RPxK/FH8XPxr/H78lvyz/NP89f0Y/Tr9WP1x/YP9jf2O/Yb9dv1f/UP9I/0C/OL8xPyp/JL8f/xw/Gb8Xvxa/Ff8VvxW/Ff8Wfxc/F/8Yvxm/Gr8bvxw/HH8cPxs/Gb8XfxR/EP8M/wi/BD7/fvr+9j7xvu0+6L7j/t7+2X7Tvs1+xr6/frf+sD6ovqD+mb6Svow+hj6Afnr+db5wvmt+Zj5hPlv+Vv5SPk2+Sf5GfkN+QP4+/jz+O345fje+Nb4zfjF+L34t/iz+LH4svi2+Lz4wvjK+ND41PjW+NT40PjJ+MH4ufiy+K34q/it+LT4vvjM+Nz47/kD+Rj5LvlF+V35dvmS+bD5z/nv+hD6L/pM+mX6evqK+pX6nPqh+qT6qfqv+rr6yfre+vj7Ffs2+1f7ePuX+7L7yvvd++37+fwB/Aj8DPwP/BD8EfwP/A38CvwG/AL7//v//AP8CvwX/Cf8PPxT/Gr8gPyT/J/8pvyl/J38kfyC/HP8Zvxg/GL8bvyF/KX8zvz8/S79YP2P/bj93P34/g/+IP4w/kD+VP5t/o7+uf7s/yf/av+w//gAPwCEAMIA+gEsAVYBfAGeAb4B3wIDAisCWQKNAscDBgNIA4sDzgQNBEgEfQSqBNAE7wUHBRsFKgU3BUQFUQVfBW0FfQWNBZwFqgW2BcAFxwXNBdEF1gXbBeMF7gX+BhIGKwZJBmsGkAa4BuQHEQdAB3EHpAfYCA0IQQh0CKIIyQjnCPoI/wj2CN4IuAiGCEoICgfIB4oHVAcoBwoG+gb6BwgHIQdFB28HngfPB/4ILAhYCIAIpwjLCO8JEwk4CV8JiAmyCd8KDQo8CmwKnArLCvoLKAtUC38LqgvTC/sMIwxJDG4Mkgy1DNYM9g0UDTANSw1kDXoNjw2iDbMNww3SDd8N7A34DgMODg4YDiEOKw40Dj4OSQ5VDmIOcQ6CDpUOqQ6+DtQO6g8ADxQPJg83D0YPUw9gD2wPeg+JD5oPrg/GD+EP/xAhEEUQaxCSELoQ4hEIES0RUBFwEYwRpRG5EcoR1hHfEeUR6hHuEfQR+xIHEhYSKhJCEl0SehKWErESxxLYEuES4hLcEtASvhKqEpUSghJzEmkSZhJqEnQShBKYEq0SwxLYEuoS+BMCEwkTDBMMEwsTChMKEwsTDxMWEyATLhM9E08TYhN1E4cTlhOkE64TtBO3E7gTtxO1E7MTtBO3E78TyhPaE+wUARQVFCgUNxRBFEUUQRQ2FCQUDRPyE9UTtxOcE4MTbxNfE1MTSxNHE0UTQxNCE0ETQBM9EzoTOBM1EzMTMhMzEzQTNhM4EzsTPRM+Ez4TPBM5EzUTLxMqEyQTHhMZExUTEhMQEw8TDxMPEw8TDxMOEwwTCRMEEv4S9xLvEuYS3BLSEscSvRKyEqgSnRKTEscSwxLAEr0SuxK4ErYSsxKxEq4SqhKmEqESmhKSEogSfBJuEl4STRI7EikSFxIGEfUR5RHVEcYRtxGnEZYRhRFzEWARTRE7ESkRGBEIEPgQ6hDcEM4QwBCyEKMQlBCEEHUQZBBUEEMQMhAgEAwP9w/fD8QPpg+GD2IPPA8TDugOuw6MDlsOKA3yDbsNgQ1HDQwM0QyZDGQMMgwGC94LuwudC4ELZwtNCzILFArzCs4Kpgp8ClEKJQn7CdIJrQmKCWsJTwk1CR0JBgjwCNoIxAiuCJgIgghsCFYIPwgpCBIH+gfiB8oHsgeaB4IHawdVB0AHLAcZBwYG9AbhBs0GuQalBpAGewZnBlMGQQYxBiMGFgYLBgAF9gXrBeAF0wXFBbYFpQWSBX4FaAVSBToFIgUIBO4E0wS4BJwEgARkBEgELQQSA/kD4APJA7MDnQOJA3QDYQNNAzoDJwMUAwEC7gLbAskCtwKlApQCgwJ0AmUCVgJIAjkCKgIaAgkB9gHhAcsBswGbAYIBagFTAT0BKQEYAQgA+gDtAOAA1ADIALwAsQCmAJwAlACPAI0AjwCUAJsApACtALUAuQC5ALMApwCUAHsAXAA5ABT/7//K/6f/h/9r/1P/Pv8s/xz/Dv8B/vX+6f7d/tL+yP6//rf+sf6s/qj+pP6h/pz+l/6R/on+gP52/mv+Yf5X/k7+Rv4//jn+M/4t/ib+Hv4V/gv9//3y/eT91v3J/b39sv2p/aL9nP2Y/ZT9kf2N/Yj9gv16/XH9aP1d/VL9SP0//Tf9MP0q/SX9If0d/Rf9Ef0K/QH89/zs/OD81PzJ/L/8tvyv/Kn8pfyj/KL8ofyh/KH8ofyh/KH8oPyf/J38mvyW/JD8ifyA/HT8ZvxX/Ef8Nvwl/BX8B/v6++/75fvd+9X7zvvH+8D7uPuv+6f7n/uZ+5T7kfuQ+5L7lfua+6D7pvus+7L7t/u8+8H7xvvM+9P73Pvl++/7+PwB/Aj8DPwN/Ar8BPv5++z72/vH+7P7nfuH+3L7XvtL+zz7L/sl+x/7Hfsf+yT7Lfs5+0b7Vftj+3D7fPuF+4v7jvuO+4z7hvt/+3b7a/tg+1P7R/s7+y/7Jfsd+xf7FfsX+xz7J/s1+0f7W/ty+4j7n/uz+8b71fvg++n77/vy+/P79Pv0+/P79Pv1+/f7+/wA/Af8DvwY/CL8Lvw7/Ej8Vvxj/HD8ffyH/JD8mPyd/KH8pPyl/Kf8qPyp/Kz8r/y0/Lr8wPzI/NH82vzj/O389/0B/Qz9F/0i/S39Of1F/VD9XP1m/W/9d/19/YH9hP2F/YX9hP2E/YT9hf2H/Yv9kP2W/Z39pP2r/bH9tv26/b39v/3B/cP9xf3I/cz90v3a/eP97v36/gj+Fv4m/jb+Rv5X/mj+ef6J/pj+pv6y/rv+w/7I/sv+zf7O/tD+0f7U/tn+3/7m/u7+9/7//wf/Dv8U/xn/Hv8j/yj/Lv83/0H/Tf9b/2r/eP+G/5L/nP+k/6n/rP+t/67/rv+v/7L/tv+7/8H/yP/P/9X/2v/e/+D/4v/j/+T/5f/o/+z/8v/5AAEACQARABkAIAAmACoALgAxADQANwA7AEAARgBOAFcAYQBsAHYAgACJAJIAmQCgAKYArACzALoAwwDMANgA5ADxAP4BCQESARgBGgEXAQ8BAwDyAN8AygC1AKEAkACDAHoAdQB1AHgAfACCAIcAigCLAIoAhQB/AHYAbgBlAF0AVwBSAFAATwBPAFEAVABXAFsAYABlAGsAcQB5AIAAiACQAJYAmgCdAJ4AnACYAJMAjgCIAIQAgQCAAIEAhACIAI0AkQCVAJgAmQCYAJYAlACRAI4AjACKAIoAigCKAIsAiwCKAIkAhgCDAH8AewB4AHUAdAB0AHYAeQB8AIAAhACIAIsAjQCPAJAAkQCSAJQAlgCXAJkAmgCaAJgAlACMAIIAdQBmAFUARAAzACQAFgALAAL//P/4//b/9f/0//P/8f/v/+3/6v/p/+j/6f/s//L/+QADAA0AFwAhACkALwAzADQAMwAvACoAJAAdABYADwAJAAUAAf/+//3//P/9//4AAAACAAQABAAEAAL//f/3/+7/4//W/8j/uv+s/5//kv+H/3z/cv9n/1v/TP86/yX/Df7y/tX+tv6Z/nz+Y/5M/jn+Kv4d/hL+B/38/fD94P3P/bv9pf2O/Xf9Yf1N/Tz9Lf0i/Rn9Ef0L/QT8/vz3/O/85vze/Nb8z/zL/Mr8zPzS/Nv86Pz3/Qj9G/0u/UD9Uf1h/W79eP1//YT9hf2D/X/9eP1v/WT9WP1L/T39MP0j/Rf9DP0C/Pr88/zt/Oj84/zf/Nv81/zT/M78yfzD/Lz8tfyt/KT8mvyP/IT8evxv/GX8XPxV/FD8TPxK/Er8TPxO/FL8Vvxa/F/8Zfxr/HP8fvyM/Jz8sPzH/OD8+v0U/S39Qf1R/Vv9Xf1Y/Uv9OP0g/QT85fzG/Kj8jPxz/F/8TvxB/Dj8Mvwv/C/8MPwz/Dn8P/xH/FD8Wfxj/G38dvx9/IL8hfyF/IL8e/xx/GT8VPxC/C38Fvv+++X7y/ux+5b7fPtj+0n7MPsX+v765frL+rL6mPp++mP6SPou+hT5+fnf+cX5qvmQ+Xb5XPlD+Sr5E/j9+Oj41vjF+Lb4qfid+JL4h/h8+HP4avhi+Fv4V/hW+Ff4W/hh+Gn4cfh4+H34f/h++Hn4cvho+F34U/hL+Ef4R/hN+Fj4aPh7+JL4qvjD+Nz49fkN+Sb5QPlc+Xj5l/m3+df59voT+i36Q/pU+mD6Z/ps+nD6dfp8+of6l/qs+sb65fsG+yn7Svtp+4X7nPuu+7v7xfvL+8770PvQ+8/7zfvL+8j7xfvD+8H7wfvD+8n70/vh+/L8Bvwb/DD8Q/xQ/Fn8WvxV/Er8O/wr/Bv8EPwL/BD8IPw7/GH8kPzF/P/9OP1v/aH9zP3v/gv+Iv40/kX+WP5w/o7+tf7m/x//YP+n//AAOgCBAMIA/AEsAVQBcwGMAaABsgHGAd0B+gIfAk0CgwLBAwQDSwOTA9kEGgRVBIkEtATWBPIFBwUYBSYFMgU+BUoFVgViBW4FeQWCBYgFjQWQBZMFlQWaBaAFqwW6Bc0F5AX/Bh0GPQZfBoMGqQbRBv4HLwdlB6AH4AgjCGcIqAjiCRIJMwlECUIJLQkFCM8IjghGB/0HuQd+B08HMAciByMHNAdQB3UHoQfPB/0IKghUCHoIngi/CN8I/wkhCUQJaQmSCb0J6wocCk4KgQq0CugLGgtLC3sLqQvWDAEMKwxUDH0MpQzMDPMNGg1ADWQNhw2oDcUN3w31DggOFg4iDioOMQ42DjoOPg5DDkgOTw5YDmIObg59Do0OoA60DsoO4g77DxQPLg9HD18Pdg+LD58PsQ/BD9IP4g/yEAUQGRAvEEgQZBCBEKEQwhDlEQgRKxFOEXARkRGxEc8R6hIDEhgSKxI6EkYSUBJZEmESahJ1EoISkRKkErgSzhLjEvYTBRMOExATCxL+EusS1BK6EqESjBJ9EnUSdhKAEpISqxLJEugTBRMgEzUTQxNLE0wTRxM+EzQTKRMhExwTHBMiEy0TPBNPE2UTfBOSE6YTtxPFE88T1RPYE9kT2RPaE9wT4RPqE/cUCBQcFDIUSBRcFG0UeBR8FHoUbxReFEcUKxQOE/AT0xO6E6QTlBOIE4ATfBN7E3sTexN8E3sTehN4E3YTcxNxE3ATcBNxE3MTdxN7E38TghOFE4cTiBOHE4UTgRN8E3UTbhNnE2ATWhNVE1ATTRNKE0gTRhNEE0ITPhM5EzMTKhMhExYTCxMAEvQS6hLhEtgS0RLMExwTHBMaExgTFBMOEwcS/xL1EusS4BLVEskSvRKwEqESkhKBEm8SXBJJEjYSJBISEgIR8hHjEdURxxG4EakRmBGHEXQRYRFNETkRJhETEQAQ7hDcEMsQuhCpEJkQihB8EG8QZBBaEFEQRxA9EDAQHxAKD+4PzQ+lD3gPRg8RDtkOoA5nDi8N9w3BDYwNWQ0mDPUMxQyYDG4MRwwkDAUL6QvQC7gLoAuHC2wLTAsoCwAK0wqjCnIKQAoPCeAJtAmMCWcJRgknCQsI8QjYCMEIqQiTCH0IZghQCDoIIggKB/EH1we7B54HggdlB0kHLwcXBwAG7AbaBsoGuwatBp8GkgaGBnkGbQZhBlUGSQY9BjEGJQYYBgkF+QXnBdUFwQWtBZgFhAVwBVwFSQU1BSEFDAT1BN0EwgSmBIkEbAROBDEEFgP9A+UD0AO8A6kDlwOFA3MDYANMAzgDJAMPAvsC5wLTAsECrwKeAo8CfwJxAmICVAJFAjYCJQITAf8B6gHTAbsBogGHAW0BVAE7ASUBEQEAAPEA5QDcANUAzwDLAMcAxADBAL8AvQC8ALwAvAC9AL4AvgC8ALcArgChAI8AeQBeAD8AHP/5/9X/sv+R/3T/Wv9D/zD/IP8S/wX++f7u/uL+1/7M/sH+t/6u/qf+of6b/pf+kv6N/of+f/53/mz+Yf5V/kn+Pf4y/in+If4a/hX+D/4K/gT9/f30/en93f3Q/cL9tP2m/Zr9j/2G/X/9ef11/XD9bP1n/WL9W/1S/Un9QP02/S39Jf0f/Rr9GP0W/Rb9Fv0W/RX9E/0O/Qf8/vzz/Of82/zP/MP8uPyu/KT8nPyU/Iz8hfx9/Hb8bvxo/GP8X/xd/Fz8XPxc/F38XPxZ/FP8Svw+/DD8H/wO+/z76/vc+8/7xPu6+7L7qvuj+5v7k/uK+4H7eftz+277bftu+3L7ePuA+4j7kPuX+537oPui+6P7o/uk+6X7qPus+7D7tfu5+7z7u/u4+7H7pfuX+4b7c/tf+0z7Ovsq+xz7EvsK+wX7A/sE+wf7DPsU+x37KPs0+0H7TftY+2H7aPtr+2v7Z/tf+1X7SPs5+yr7GvsL+v768vro+uH63frd+uD65/rx+v/7EPsk+zn7T/tm+3z7kPuh+7H7vvvI+9D71vvb+9/74/vm++r77fvx+/T7+Pv7+//8BPwJ/A/8Fvwf/Cn8M/w//Er8Vfxg/Gn8cfx3/Hv8fvyA/ID8gPyB/IH8g/yG/Ir8kPyY/KD8qvy0/L/8yvzV/N/86fzy/Pv9BP0N/Rb9IP0p/TP9PP1F/U39VP1a/V39YP1g/WH9YP1g/WH9Yv1m/Wr9cP12/X79hf2M/ZP9mf2e/aL9pv2q/a79s/25/cH9yf3U/d/97P37/gv+HP4u/kD+U/5m/nj+if6Z/qb+sf66/sD+xf7H/sn+y/7N/tH+1f7b/uH+6f7x/vj+//8G/wz/Ef8X/x3/Jf8u/zn/Rf9T/2H/cP9+/4v/lf+d/6P/qP+r/67/sP+0/7r/wP/H/8//1//e/+T/5//o/+j/5f/i/9//3P/b/9z/3//l/+z/9f//AAkAEgAaACIAKAAuADMANwA8AEEARwBOAFYAXQBlAGwAcwB5AH0AgACDAIUAhwCKAI4AlACbAKQArwC7AMgA1ADeAOYA6gDpAOQA2wDOAL4ArQCcAI0AgAB4AHUAdQB6AIEAiwCUAJ0AowCmAKcApACfAJgAkACIAIEAewB2AHIAcABuAG0AbQBtAG0AbgBxAHQAegCAAIgAkQCZAKAApgCqAKsAqQClAKAAmQCTAI4AigCHAIcAiACKAI0AkACSAJMAkgCRAI4AigCHAIQAggCBAIEAggCDAIUAhwCIAIgAiACHAIYAhQCEAIQAhACGAIgAigCNAI8AkgCUAJUAlgCXAJgAmQCaAJsAnQCeAJ8AngCcAJgAkgCIAHwAbgBeAEwAOwArABwADwAF////+v/4//j/+P/4//j/9v/0//D/6//n/+L/3v/c/9v/2//d/+D/5P/n/+r/6//s/+z/6v/p/+f/5v/k/+T/5f/m/+f/6f/r/+3/7//w//D/8f/w/+//7v/s/+j/5P/e/9f/0P/I/8D/uv+1/7H/sf+y/7X/uP+7/7v/uP+w/6L/j/92/1n/OP8V/vH+z/6u/pH+d/5g/kz+Of4m/hL9/v3n/c/9tf2b/YH9af1S/T79LP0e/RH9B/z+/PX87fzk/Nz80/zK/MP8vfy4/LX8tfy4/L38w/zL/NX83/zp/PT8/v0H/RD9F/0e/SL9Jv0o/Sj9J/0k/SD9Gv0U/Q39Bvz//Pj88fzr/Ob84fzd/Nn81vzS/ND8zfzK/Mj8xfzD/MD8vfy5/LX8r/yp/KH8mfyQ/If8fvx2/HD8a/xo/Gf8afxt/HP8e/yD/I38l/yi/K78u/zJ/Nj86fz7/Q39IP0x/UD9TP1T/VT9Tv1C/TD9GPz7/Nv8uvyZ/Hn8W/xB/Cv8GfwL/AL7/fv8+//8BfwN/Bn8Jvw2/Eb8Vvxm/HX8gvyM/JP8l/yW/JL8ifx9/G78WvxE/Cv8EPvz+9X7tvuX+3n7XPtB+yf7D/r5+uT60Pq7+qb6kPp5+mD6Rfop+gz57/nR+bP5lfl3+Vr5Pfkh+QX46vjR+Ln4oviO+Hv4avhc+E/4RPg6+DL4LPgn+CT4I/gk+Cf4K/gx+Db4O/g++D74Ovgz+Cn4HPgO+AH39ffu9+z38Pf6+Av4Ifg8+Fn4dviU+LD4y/jk+P35FPkt+Uf5Yvl/+Zz5ufnV+e76BPoU+iH6Kfov+jP6OPo/+kr6Wfpu+of6pfrF+ub7Bfsi+zv7T/te+2f7bPtu+237avtm+2H7XftZ+1X7U/tR+1L7VPtY+1/7aft2+4T7lPuk+7L7vvvG+8r7yfvE+7v7sfun+6H7n/ul+7P7zPvv/Bv8TvyH/ML8/v02/Wj9k/22/dD94/3x/fr+BP4P/iD+OP5Y/oL+tf7w/zH/dv+7//8APQB1AKUAzQDtAQcBHQEyAUkBZAGGAbEB5QIiAmcCsgMAA08DnAPkBCUEXgSNBLQE0wTqBP0FCwUXBSEFKgUzBToFQQVHBUsFTwVSBVYFXAVkBW8FfgWRBacFvwXZBfQGDgYnBj8GVwZxBo4GsQbbBw4HSgeOB9gIJQhxCLcI8gkfCToJQgk2CRkI7Qi4CH4IRQgRB+YHyQe5B7YHwQfVB/EIEgg0CFYIdgiSCKsIwgjXCOwJAwkcCTgJWQl/CaoJ2QoMCkIKewq0Cu4LJwteC5QLxwv3DCUMUgx9DKcM0Qz7DSUNUA17DaUNzQ3xDhIOLg5EDlQOXw5kDmYOZQ5jDmEOYA5iDmcObw58DosOnQ6yDsgO4A75DxIPLA9GD2APeg+TD6wPww/ZD+4QARATECQQNBBEEFUQZxB6EJAQqBDCEN8Q/REdET8RYhGFEakRzBHvEhISMxJSEm4ShxKdEq8SvRLIEtAS1hLcEuES5xLvEvkTBBMQExwTJRMrEy0TKRMfExES/xLsEtoSzBLDEsISyhLbEvMTERMxE1ITcBOIE5kToROhE5kTixN7E2kTWRNOE0gTSRNRE18TchOIE6ATtxPNE98T7RP4E/4UAhQFFAYUCRQPFBcUIxQyFEUUWhRvFIQUlxSlFK4UsBSrFJ8UjRR2FFsUPxQiFAcT7xPbE8wTwRO6E7YTtRO2E7gTuhO8E70TvhO/E78TwBPAE8ATwRPCE8MTxBPGE8cTyRPKE8sTzBPME8sTyhPHE8MTvhO3E7ATqBOfE5YTjhOGE38TeBNyE20TZxNhE1oTUxNLE0MTOxMzEywTJhMiEx8THhMdE2oTaBNjE1wTUxNHEzgTKBMYEwcS9hLlEtYSxhK4EqkSmhKKEnkSaBJWEkQSMxIiEhISAhHzEeQR1RHFEbQRoRGNEXgRYhFMETURHxEKEPUQ4BDMELgQpBCREH8QbxBgEFUQTRBIEEYQRBBCED0QMxAiEAgP5g+7D4cPTQ8ODs0OjA5ODhMN3Q2rDX4NVg0wDQ0M7AzNDK8Mkgx2DFwMQgwpDA8L8wvVC7MLjQtiCzMLAQrMCpUKXwopCfcJyAmcCXQJTwkuCQ8I8gjWCLwIowiMCHQIXghHCDAIFwf+B+IHxQemB4YHZQdFBycHCwbxBtsGyAa4BqsGoAaXBo8GhwaABnkGcgZrBmQGWwZSBkYGNwYmBhIF+wXhBcYFqgWOBXMFWgVDBS4FGgUIBPYE4wTOBLcEngSCBGYESQQsBBED+APiA84DvQOuA6ADkgODA3MDYgNPAzoDJQMPAvkC4wLPArwCqgKaAosCfQJvAmICVAJGAjYCJQISAf4B6AHQAbcBnQGCAWcBTQE0AR0BCgD5AOwA4gDcANgA1wDYANoA3ADgAOMA5QDmAOYA5ADfANgAzgDAAK4AmAB+AGAAPwAd//n/1f+z/5L/df9b/0b/M/8k/xj/Df8C/vj+7v7i/tb+yf68/q/+o/6Y/o7+hf59/nb+b/5o/mD+V/5M/kH+Nv4q/h7+FP4K/gL9+/31/fD96/3l/d/91/3N/cP9t/2r/Z79kv2G/Xz9c/1r/WX9X/1a/VT9T/1I/UH9OP0w/Sb9Hf0W/Q/9Cv0I/Qj9Cf0M/RD9FP0X/Rn9GP0V/Q/9B/z8/PD84/zV/Mj8uvyu/KH8lfyJ/Hz8b/xi/FT8SPw9/DP8Lfwp/Cn8K/wv/DP8N/w4/Df8Mvwp/Bz8DPv6++f71PvD+7P7pvub+5H7ifuB+3n7cfto+2D7WftU+1L7UvtW+177Z/ty+337h/uO+5L7kvuP+4n7gft4+2/7Z/tg+1v7VvtS+037Rvs/+zX7Kfsd+xH7Bfr7+vT67/ru+vD69Pr6+wH7CPsQ+xf7Hfsj+yn7MPs2+zz7QvtH+0r7SvtI+0H7N/sq+xr7CPr1+uL60frD+rf6sPqs+q36svq7+sj62Prq+v/7Ffsr+0L7WPtt+4D7kfug+6z7tvu/+8f7zvvV+9z74/vq+/H7+Pv+/AP8BvwJ/Av8DPwN/A78EPwS/Bb8G/wg/Cf8Lfw0/Dr8QPxF/Er8TvxR/FT8VvxY/Fv8Xvxi/Gf8bvx2/H/8ifyU/KD8rPy3/MH8y/zT/Nr84Pzm/Oz88/z7/QT9Dv0Y/SP9Lv03/T/9Rv1K/Uz9Tf1N/Uz9S/1M/U39Uf1W/Vz9ZP1s/XT9fP2D/Yr9kP2V/Zv9oP2m/a39tf2+/cj90/3f/e39+/4L/hv+LP4+/lD+Yv5z/oL+kf6d/qj+sP63/rz+wf7F/sr+z/7V/tv+4v7q/vH++f7//wX/C/8R/xf/Hf8l/y//Ov9G/1P/YP9s/3f/gv+K/5H/l/+c/6H/qP+v/7j/wv/O/9r/5f/v//b/+//8//r/9f/v/+j/4f/c/9n/2P/b/+H/6f/y//0ACAATABwAJQAsADIAOAA8AEEARQBKAE8AVQBbAGEAZgBsAHEAdQB5AHwAfwCDAIcAjACTAJsApACuALkAwwDMANMA1gDVANAAxwC6AKsAmwCKAHwAcQBpAGcAaQBvAHkAhACRAJwApgCtALIAtACzALEArgCqAKYAogCfAJsAmACVAJEAjgCKAIcAhQCFAIYAigCQAJcAnwCoALAAtgC6ALsAugC3ALIArQCnAKIAngCbAJoAmgCaAJsAmwCaAJgAlgCSAI4AigCHAIQAggCCAIMAhQCHAIsAjgCSAJYAmgCdAKEApACnAKkAqwCtAK0ArQCtAKwAqgCoAKcApQCkAKQApQCmAKcAqACoAKcApACeAJcAjQCAAHEAYQBPAD4ALAAdABAABf/9//j/9v/2//f/+f/7//v/+//5//X/8P/q/+T/3f/Y/9P/0P/O/8z/zP/M/8v/y//K/8n/yP/H/8f/yP/K/87/0v/Y/93/4//o/+z/7v/w//D/7//t/+v/6P/k/+H/3f/Y/9P/zv/K/8b/xP/E/8b/y//S/9v/5f/v//b/+//7//X/6f/X/7//o/+D/2H/Pv8c/vv+3P6//qP+if5u/lT+OP4c/f794P3D/ab9i/1z/Vz9Sf03/Sj9Gf0M/QD89Pzo/Nz80fzH/L38tvyw/Kv8qPyn/Kf8qPyp/Kz8rvyy/Lb8uvy//MX8y/zR/Nf83Pzh/OX86fzq/Ov86/zq/On85/zl/OL84Pze/Nv82fzX/Nb81PzS/NH80fzR/NH80/zU/Nb81/zY/Nj81vzT/M78x/y+/LX8q/yh/Jj8kfyN/Iz8jvyT/Jv8p/y0/MP80vzj/PT9Bf0W/Sj9Of1K/Vr9af11/X39gf1+/XX9Zf1O/TH9D/zo/MD8l/xw/Ez8K/wQ+/r76vvf+9n72Pvc++P77vv9/A78Ifw1/Er8Xvxx/IL8kPya/J/8oPyd/JT8iPx4/GT8TPwy/Bb79/vX+7f7lvt3+1n7Pfsj+wz69/rl+tP6wfqw+pz6hvpu+lT6N/oZ+fn52Pm3+Zf5d/lY+Tr5HfkA+OP4x/is+JL4evhj+FD4P/gw+CX4G/gU+A/4C/gJ+Aj4CPgJ+Av4DvgR+BP4FPgT+A/4B/f99+733vfM97v3rfej96D3o/et97731vfx+BD4MPhP+G34ifii+Lr40fjo+QD5Gfkz+U/5avmF+Z35svnD+c/52Pne+eP56Pnv+fn6CPob+jP6T/pt+oz6qvrE+tv67fr4+v/7APr9+vf67/rm+tz60/rM+sb6wvrA+sL6xvrN+tf65Pry+wH7EPse+yv7Nfs8+z/7QPs++zv7Ofs4+zz7RftV+2z7jPuz++H8FfxM/IT8u/zu/Rz9Qv1f/XT9gP2F/YT9gP18/Xv9f/2L/aD9v/3p/hz+WP6Z/t3/Iv9m/6X/3gASAEAAaQCPALMA2QECAS8BZAGfAeACKAJ0AsIDEANbA6ID4wQcBE0EdgSYBLIEyATYBOUE7wT3BP0FAQUEBQcFCgUPBRUFHgUrBTwFUQVrBYgFpgXFBeIF/QYTBiYGNgZFBlQGZwaABqIGzQcDB0MHiwfWCCIIaQioCNoI/wkTCRkJEgkBCOkIzwi3CKQIlwiSCJUIngitCL4I0AjhCPAI/AkGCQ0JFAkbCSUJMwlGCV4JfgmkCdAKAgo5CnMKsArvCy0LagulC90MEgxEDHEMnQzGDO4NFQ09DWUNjg24DeAOBw4rDkoOYw52DoIOiA6IDoQOfg53DnEObw5xDngOhQ6WDqsOxA7fDvoPFg8xD0sPZA99D5QPrA/DD9oP8BAHEBwQMRBFEFgQaRB7EIwQnhCyEMcQ3xD6ERgROBFbEYARphHNEfQSGhI/EmQShhKmEsIS3BLxEwITDxMWExoTGhMYExUTEhMRExITFxMeEykTNBNAE0oTUhNWE1YTUxNPE0sTSRNLE1ITXxNzE4wTqBPFE98T9RQDFAgUBRP5E+YT0BO4E6MTlBOLE4sTkxOjE7kT1BPwFAsUIxQ3FEYUUBRVFFgUWBRYFFkUXRRjFG0UehSKFJsUqxS6FMYUzhTQFM0UxBS2FKQUjhR3FGAUSRQ1FCQUFhQMFAUUARP/E/8UABQCFAQUBxQKFA0UEBQTFBcUGxQeFCEUIhQiFCEUHxQbFBcUExQPFAsUCBQGFAUUBBQCFAAT/RP4E/IT6hPhE9cTzRPCE7kTsBOoE6ATmhOUE48TiROEE34TeRN1E3ETbhNtE2wTbBNrE5sTkxOJE30TbxNeE0wTORMmExMTAhLxEuIS1BLHErkSqxKcEosSeRJmElISPhIqEhYSAhHvEdwRyRG0EZ8RiBFxEVkRQhEqERQQ/xDsENkQxxC1EKMQkBB9EGkQVxBHEDsQMhAuEC0QLxAxEDIQLhAjEA8P8Q/ID5UPWg8aDtgOlw5YDh8N7Q3BDZwNew1fDUUNKw0SDPgM3gzBDKQMhgxnDEUMIgv7C9ELpAtzCz8LCQrSCpoKZAoxCgAJ0wmpCYMJXwk+CR4JAAjjCMcIrAiSCHkIYQhKCDIIGggAB+UHyQerB4wHbQdPBzMHGQcDBvAG3wbSBsYGvAayBqgGnwaVBosGgQZ3Bm0GYgZWBkkGOQYmBg8F9gXZBbsFmwV8BV4FQwUqBRME/wTsBNkExQSwBJkEgARkBEgEKwQPA/YD3wPLA7oDrAOgA5QDiQN8A24DXgNMAzgDIwMNAvcC4gLOArsCqgKaAosCfgJwAmQCVwJJAjoCKgIYAgQB7wHXAb4BpAGJAW4BVAE8ASYBEgECAPUA6wDlAOEA3wDgAOMA5gDqAO4A8QDyAPIA7gDnANsAygC0AJkAegBXADEACf/h/7r/lv91/1n/Qv8w/yL/F/8P/wn/A/79/vX+6/7f/tH+wv6x/qD+kP6A/nL+Zf5Z/k/+Rf47/jL+KP4e/hT+Cv4A/fb97v3m/d/92P3S/cz9xf2+/bX9rP2i/Zf9jf2C/Xn9cf1p/WP9Xv1Z/VT9T/1K/UP9O/0y/Sj9Hv0U/Qv9A/z9/Pn8+Pz4/Pv8//0F/Qr9EP0U/Rb9Fv0T/Q79Bfz6/O383/zQ/MH8sfyj/JT8hvx3/Gn8WvxM/D38MPwk/Br8E/wP/A78D/wS/Bf8Gvwc/Bv8FvwN+//77/vc+8j7tPui+5H7hPt5+3D7aPti+1v7VftP+0n7Q/tA+0D7QvtI+1H7XPto+3P7fPuD+4T7gft5+277X/tO+z37LPsc+w36//ry+ub62vrO+sP6ufqx+qz6qvqt+rP6vvrN+t367vr/+w37Gfsi+yj7K/st+y37Lfst+y77L/sw+y/7LPsm+xz7Dvr8+uj60/q9+qr6mfqN+oX6g/qH+pD6nfqv+sP62vry+wz7Jfs++1b7bPuB+5P7o/ux+737x/vP+9f73vvl++z78/v6/AH8B/wN/BH8FPwW/Bj8GPwZ/Bn8GPwY/Bn8Gfwa/Bv8HPwd/B/8Ivwl/Cn8Lvwz/Dr8QfxI/E/8Vvxd/GT8a/xy/Hn8gvyK/JP8nPym/K78tvy+/MT8yvzP/NX83Pzk/O38+P0F/RL9IP0u/Tr9RP1L/VD9Uv1S/VD9Tv1L/Un9SP1J/Uv9T/1U/Vn9YP1m/W39dP17/YL9if2R/Zn9ov2s/bb9wf3N/dn95f3y/f/+Df4c/iz+PP5M/lz+bP57/on+lf6f/qn+sf64/r/+xv7N/tX+3P7k/uv+8v75/v7/A/8I/w3/E/8Z/yD/Kf8y/z3/R/9S/1z/Zf9s/3P/ef9//4X/jP+V/6D/rP+6/8j/1v/j/+3/9P/4//n/9v/y/+z/5v/h/97/3v/g/+b/7f/3AAIADQAXACEAKAAuADIANQA3ADgAOQA7AD4AQgBHAE4AVQBdAGYAbgB1AHwAggCHAIsAjwCTAJgAnQCiAKgArwC0ALkAuwC7ALgAsQCoAJ0AkQCFAHoAcQBsAGoAbABxAHkAggCLAJUAnQCjAKgArACuALAAsQCzALQAtgC4ALgAuAC2ALMArwCqAKUAoQCfAJ4AoACjAKkAsAC3AL4AxADJAMsAywDKAMcAxADBAL4AvAC6ALgAtwC1ALMAsACsAKgAowCfAJoAlwCVAJMAkwCUAJYAmACbAJ8AowCoAK0AtAC7AMIAyQDPANUA2ADaANoA1wDSAM0AxgC/ALkAtACwAK4ArQCtAK0ArACqAKcAoQCZAI4AggBzAGMAUQBAAC8AHwARAAT/+v/z/+7/7P/s/+3/7//y//T/9f/0//L/7//r/+b/4f/d/9n/1//W/9b/1v/X/9f/1//W/9T/0//R/8//zv/P/9H/1P/Y/97/4//o/+3/8P/z//T/9P/0//T/8//y//H/8P/v/+7/7P/q/+j/5//m/+f/6f/t//P/+gABAAgADAAOAAwABf/5/+n/1P+8/6H/hf9p/0z/L/8T/vf+3P7A/qT+h/5r/k7+Mf4V/fv94f3J/bP9nf2I/XT9X/1K/TX9H/0L/Pb85PzT/MX8ufyw/Kn8pPyg/J38m/ya/Jj8mPyY/Jj8mvyd/KH8pfyr/LD8tvy8/MH8xfzJ/Mz8zvzQ/NL81PzW/Nf82fza/Nv82/zc/Nz83Pzd/N783/zi/OX86fzt/PL89vz5/Pv8+/z6/Pb88fzp/OD81/zO/Mb8v/y8/Lv8vfzD/M382fzn/Pj9C/0e/TP9Sf1f/XX9i/2g/bP9w/3O/dP90P3E/a/9kv1s/T/9DfzZ/KX8c/xH/CD8Afvq+9r70vvP+9L72Pvi++77/PwL/Bz8LvxB/FP8Zfx2/IP8jvyV/Jf8lfyO/IP8c/xf/Ej8L/wS+/X71vu2+5f7ePtb+z/7JvsP+vr65/rV+sT6svqf+on6cfpV+jf6GPn2+dT5s/mR+XH5U/k1+Rj4+/jf+ML4pviL+HH4WPhC+C/4HvgR+Ab3/vf49/P37/fr9+j35ffj9+L34vfj9+T35ffk9+L33PfT98b3tvej95H3f/dw92b3Yvdl93D3gfeX97L3z/fs+An4JvhA+Fn4cviK+KT4vvja+Pb5Evku+Ub5XPlt+Xr5g/mJ+Y35kfmX+aD5rPm++dP57PoI+iT6P/pY+mz6e/qF+oj6h/qA+nb6avpc+k76Qfo2+i76Kfoo+iv6M/o/+k/6Y/p4+o/6pfq6+s363frp+vL6+Pr8+v/7A/sI+xH7H/sy+0r7afuO+7j75fwV/Eb8dfyh/Mn86v0E/RX9H/0h/R39Fv0M/QT8//0A/Qr9Hf08/WX9mf3V/hj+YP6q/vT/PP+A/8D/+wAwAGIAkQC9AOoBGAFIAXsBsgHtAisCawKtAu8DLwNtA6cD3AQLBDUEWQR3BI8EogSxBLsEwgTGBMkEywTPBNQE3ATpBPoFEQUsBUwFbwWTBbYF1wX1Bg4GIgYzBkIGUQZiBngGlQa7BuoHIQdeB6AH5AglCGIIlwjECOgJAwkWCSQJLgk3CT8JSQlUCV8Jagl1CX0JggmECYIJfgl4CXMJbwlvCXQJgAmSCawJzgn2CiUKWAqQCssLCAtGC4MLvwv5DDAMZAyTDL8M6A0ODTINVA13DZkNvA3fDgIOIw5CDl0Ocw6DDo0OkQ6QDosOhQ5/DnsOew6ADooOmQ6uDscO4g7+DxsPNg9PD2YPfA+QD6QPuA/ND+MP+hASECsQRBBdEHUQjBCjELkQzxDmEP8RGhE5EVsRfxGmEc4R9xIfEkYSahKMEqsSxxLgEvcTChMaEyYTLhMzEzQTMhMuEygTIxMhEyETJRMvEz0TThNhE3UThxOXE6MTrBOyE7cTvBPDE84T3hPzFAsUJRQ/FFUUZRRsFGoUXhRKFDAUFBP5E+IT0xPNE9IT4BP2FBIUMhRRFG4UhhSZFKcUrxSzFLUUthS3FLoUvhTFFM0U1hTfFOcU6xTtFOoU5BTaFMwUvBSqFJkUiBR5FG0UYxRdFFkUWBRYFFkUWhRbFFwUXBRcFFwUXBRdFGAUYxRoFG4UdBR5FH0UgBR/FHwUdhRvFGUUWxRRFEcUPxQ4FDMULxQsFCkUJhQjFB8UGRQTFAsUBBP8E/UT7hPpE+QT4BPcE9gT1BPQE8sTxhPAE7sTthOxE6wTpxOiE7MTphOZE4oTehNpE1cTRRMzEyETERMCEvQS5hLYEsoSuRKnEpMSfBJkEksSMRIXEf4R5hHOEbcRoBGIEXARWBE/ESYRDhD3EOMQ0hDCELUQqBCcEI4QgBBvEFwQShA4ECkQHRAWEBQQFRAZEBwQHBAXEAkP8Q/PD6MPbg8zDvYOuA5+DkgOFw3tDckNqQ2LDW4NUg0zDRQM8gzODKkMggxbDDIMBwvbC6wLewtICxMK3gqpCnYKRQoXCe4JxwmkCYQJZQlICSoJDQjwCNIItQiZCH8IZghNCDYIHggHB+8H1ge8B6IHiAdvB1kHRAcyByIHEwcGBvkG6wbdBswGuwaoBpUGgwZxBmAGUQZCBjMGJAYTBgAF6gXSBbkFngWCBWcFTQU1BR4FCATyBN0ExgSuBJQEeQRcBD4EIQQGA+wD1QPCA7EDogOUA4gDewNuA2ADUANAAy4DHAMJAvcC5QLUAsMCtAKlApcCigJ+AnICZgJZAksCPAIrAhgCAgHqAdABtQGZAX4BZAFMATcBJAEVAQgA/gD2APEA7QDqAOkA6QDpAOoA6wDrAOkA5QDcAM8AvACjAIUAYgA6ABD/5f+7/5T/cP9S/zn/Jv8Z/xD/Cv8H/wT/Af78/vX+6/7f/s/+vf6q/pb+gv5v/l3+TP49/i/+I/4Y/g7+BP37/fL96f3h/dr90v3L/cT9vf22/a79pf2b/ZD9hv17/XH9aP1g/Vv9Vv1U/VL9UP1N/Ur9Rf0+/TX9Kv0f/RP9B/z9/PT87fzp/Ob85/zo/Oz88Pz1/Pr8//0C/QT9BP0C/P389fzr/N/80PzA/K78nfyL/Hn8aPxY/Ej8Ovws/CD8FPwK/AL7+/v2+/T78/vz+/P78/vx++375vvc+877vvus+5n7h/t2+2j7XPtT+037SPtD+0D7PPs3+zP7L/ss+yv7LPsw+zX7PftF+037U/tW+1b7UftJ+z37L/se+w36+/rq+tr6yvq6+qv6nfqQ+oT6evp0+nL6dfp++ov6nfqy+sn63/rz+wT7EPsY+xz7Hfsc+xv7Gvsb+xz7Hvsg+yD7HPsU+wj69/rh+sn6sPqY+oP6dPpq+mf6a/p2+ob6mvqx+sr65Pr/+xj7MvtL+2L7efuO+6L7tPvE+9P73/vq+/L7+fv//AT8B/wK/A38DvwP/BD8EfwS/BT8FvwZ/Bz8H/wj/Cb8KPwp/Cr8Kfwo/Cf8J/wo/Cv8MPw3/ED8SvxV/F/8afxy/Hn8fvyC/IX8h/yI/Iv8jvyR/Jb8m/yh/Kj8r/y4/MH8y/zX/OT88/0E/RX9Jv02/Ub9Uv1c/WP9Zv1l/WL9Xf1X/VD9Sv1F/UH9P/0//UH9RP1I/U79VP1c/WT9bf13/YH9jP2X/aP9rv26/cX90f3c/ej99P4B/g/+Hv4t/jz+TP5b/mr+eP6E/pD+mv6k/q3+tv6+/sb+zv7W/t7+5P7q/vD+9P75/v3/Af8G/wz/E/8b/yT/Lv83/0D/SP9P/1X/Wv9f/2T/av9y/3v/hv+T/6H/r/+9/8n/1P/c/+H/5P/m/+b/5f/m/+f/6//w//cAAAAJABMAHAAlACsALwAxADEAMAAuACsAKQAoACkALAAyADoARABPAFoAZgBxAHoAgQCHAIoAiwCLAIoAigCJAIoAjACOAJEAlACXAJgAmACXAJYAkwCRAI8AjgCPAJEAlACYAJwAnwCiAKMAowCjAKMAowCkAKcArQC0ALwAxgDOANYA2wDeAN4A2wDWANAAygDEAMAAvwDAAMIAxwDMANEA1QDZANwA3QDdAN0A3QDcANsA2gDZANYA0wDOAMgAwQC7ALQArgCpAKcApgCnAKkArQCwALQAtwC6AL0AwADEAMkAzwDXAOAA6QDxAPkA/gEAAP8A+gDzAOoA4ADWAM0AxQC+ALoAtgC0ALEArgCqAKMAmwCRAIUAdwBpAFoASwA9AC4AIQAUAAkAAP/5//P/8P/v/+//8f/0//f/+f/7//v/+//5//f/9P/y//L/8v/z//b/+f/8//8AAAAA//7/+//2//H/7P/o/+X/4//k/+X/6P/r/+7/8f/0//f/+f/8//4AAQAFAAkADgASABYAGAAZABkAGAAWABMAEQAOAAwACwAKAAoACQAGAAL/+//x/+T/1P/C/67/mP+C/2v/VP89/yf/Ef78/uf+0/6//qz+mf6G/nT+Yf5O/jr+I/4K/e790P2v/Y39a/1J/Sn9DPzy/N38zfzB/Lj8svyv/Kz8qvyp/Kf8pfyk/KP8o/yj/KT8pvyo/Kv8rvyw/LP8tvy4/Lv8vvzC/Mf8y/zQ/NX82vze/OH84/zl/Ob85vzn/Oj86vzt/PH89fz6/P/9BP0I/Qv9DP0N/Qz9Cf0G/QL8/fz5/PX88/zy/PP89vz8/QT9Dv0b/Sn9O/1P/WX9ff2Y/bP9z/3p/gD+Ev4d/h7+FP3//d39sf16/T38/fy8/H/8SPwa+/b73vvQ+8v7zfvW++H77/v9/Av8GPwk/DD8O/xG/FL8Xfxn/G/8dfx3/Hb8cPxm/Fj8Rvwx/Bn7//vk+8j7q/uP+3P7WPs++yb7EPr7+uf61PrA+q36mPqB+mf6TPou+g757fnM+az5jPlu+VH5Nvkb+QD45vjL+K/4k/h3+F34RPgu+Bv4C/f+9/P36/fj99v30/fL98L3ufex96v3qPem96f3qvet97D3sPet96X3mfeI93X3YPdM9zv3L/co9yn3Mfc/91L3aveE95/3u/fW9/L4Dfgo+ET4YviA+J/4vvjb+PX5DPke+Sv5NPk6+T35QPlE+Ur5VPlj+XX5i/mj+bv50vnn+ff6A/oJ+gr6Bfn8+fH54/nU+cX5uPmu+af5pfmn+a/5vfnQ+ej6BPoj+kP6Y/qC+p76tvrK+tr65/rw+vb6/PsD+wv7Ffsk+zf7T/tr+4v7r/vW+/38JfxL/G78jfym/Lr8yPzQ/NP80/zS/NL81Pzc/On8//0d/UT9dP2r/er+Lf5z/rz/BP9K/47/zQAHADwAagCTALYA1gD0AREBLwFRAXYBoQHRAgcCQgKBAsIDAwNCA34DtAPlBA8EMgRPBGUEdgSCBIsEkgSYBJ4EpgSvBL0EzwTlBP8FHgVABWUFigWvBdEF8QYPBikGQQZYBnAGiwaqBs0G9wcmB1sHkwfOCAkIQwh6CK4I3QkICS8JUglyCY8JqAm+CdAJ3QnmCekJ5wnhCdgJzQnCCbkJtAm1CbsJyQneCfoKHApECnAKnwrRCwULOwtyC6kL4AwWDEoMfQytDNkNAw0pDUsNbA2KDagNxA3hDfwOFw4wDkgOXA5sDnkOgg6HDooOiw6MDo8OlA6dDqoOvA7RDukPAg8cDzYPTQ9iD3YPhw+XD6cPuA/LD+AP+BASEC4QTBBqEIgQpRDBENwQ9xESES8RTRFvEZMRuRHhEgoSMRJXEnkSlxKyEsgS3BLtEvwTCRMWEyETKxM0EzoTPhNBE0ITQxNFE0oTUxNfE28TghOXE6sTvRPLE9QT2RPaE9oT2hPeE+cT9xQOFCwUTRRwFI8UqBS4FL4UuBSoFJEUdhRaFEIUMRQoFCkUMxREFFsUdBSNFKQUuRTJFNYU4RTqFPQU/RUIFRMVHhUpFTEVNhU3FTMVKxUeFQ0U+hTnFNQUwxS1FKsUpRSjFKUUqRSvFLYUvBTBFMQUxRTDFL8UuRSzFK0UqRSlFKQUphSpFK4UsxS4FLwUvhS9FLoUtBSsFKEUlhSKFH4UcxRqFGIUXBRXFFMUTxRMFEgURRRBFD0UOBQ0FDEULRQqFCgUJRQiFB8UGxQWFA8UBxP/E/UT6hPgE9UTyhO/E78TshOjE5UThRN1E2MTURM/Ey0TGxMJEvgS5hLTEr8SqhKSEngSXRJAEiISBRHpEc8RthGfEYgRcxFcEUYRLhEWEP0Q5RDPELwQqxCeEJMQiRCBEHcQbBBfEE8QPhAtEBwQDxAGEAEQABACEAYQBxAED/oP6A/MD6YPeA9DDwsO0g6ZDmQOMw4FDdwNtA2ODWgNQA0XDOwMwQyUDGcMOwwOC+ILtguKC1wLLgr+Cs4KngpvCkMKGwn2CdYJuQmfCYcJbwlXCT0JIgkFCOcIyQirCI4IcghXCD4IJggPB/cH4AfIB7AHmQeCB20HWgdIBzgHKQcaBwoG+QbmBtEGugahBokGcQZaBkYGNAYkBhYGCgX9BfAF4QXRBb8FqwWWBYAFagVTBTsFIwUKBPAE1QS4BJoEewRcBD0EHwQDA+oD0gO+A6sDmgOKA3oDawNcA00DPgMvAyEDFAMHAvoC7QLhAtUCyQK8ArACpQKZAo4CgwJ3AmoCXAJKAjYCHgIEAecByQGqAY0BcgFZAUQBMwElARoBEQEJAQIA+wD1AO8A6gDmAOIA3wDcANgA0gDJALsAqACQAHEATgAn//7/1P+r/4b/Zf9J/zL/If8V/w3/B/8D/v/++v70/uv+3/7R/sD+rv6Z/oX+cP5b/kj+Nv4m/hf+Cf3+/fP96v3h/dn90v3L/cX9vv24/bH9qf2h/Zj9jf2C/Xf9a/1g/Vb9Tv1I/UT9Qf1A/T/9Pf06/TX9Lv0l/Rr9Df0A/PP85/zd/Nb80fzO/M78z/zR/NT81/za/N383/zi/OP85fzk/OL83vzX/M38wPyv/Jz8h/xx/Fr8Rfwx/B/8D/wB+/b77Pvk+9372PvT+8/7y/vI+8T7wPu7+7X7rfuj+5f7ift7+2z7XvtR+0X7PPs0+y/7Kvsn+yT7IPsc+xj7E/sO+wn7BfsD+wL7AvsD+wT7BfsF+wP7APr7+vX67frl+t361PrM+sP6uvqw+qX6mvqP+oT6e/p0+nL6dPp7+of6lvqp+rz60Prh+u/6+fsA+wT7BvsI+wr7DvsU+xv7Ifsn+yn7Jvsd+w76+Pre+sH6pPqK+nX6Zvpg+mL6bfp++pP6rPrH+uL6+/sU+yr7QPtU+2n7ffuR+6X7ufvM+9777fv7/Ab8DvwT/Bb8FvwU/BD8C/wG/AH7/fv6+/n7+/wA/Ab8D/wY/CL8Kvwy/Df8O/w8/Dz8PPw8/D78QfxG/E78WPxi/G38d/x//IX8iPyI/If8hPyA/Hz8efx4/Hj8e/yB/In8k/yf/K38vfzO/OD88/0H/Rv9Lv1B/VH9X/1p/XH9dP10/XH9a/1j/Vr9Uf1J/UH9PP04/Tf9OP07/T/9Rf1M/VT9Xf1m/XD9ev2E/Y79mP2i/a39uP3D/c792v3n/fT+Av4Q/h7+LP47/kn+Vv5i/m7+ev6E/o/+mP6i/qv+tP69/sX+zP7S/tj+3f7h/ub+6/7w/vf+/v8H/xH/Gv8k/y7/Nv89/0P/SP9N/1H/Vf9b/2L/av90/4D/jf+Z/6b/sv+8/8b/zv/U/9r/4P/m/+3/9P/8AAUADgAXAB8AJwAsADAAMgAyADAALAApACUAIgAhACIAJQArADMAPgBKAFcAZABvAHkAgQCGAIgAiACGAIMAgAB9AHsAewB8AH4AgQCGAIsAkQCWAJ0AowCqALIAugDCAMkA0ADVANcA1wDUAM8AyQDCALwAuQC5AL0AxgDSAOAA8AD/AQwBFQEbARsBGAERAQkA/wD2AO8A6wDpAOkA6wDuAPEA9AD3APgA+QD6APoA+gD6APkA+AD1APEA6wDjANkAzwDEALsAtACwAK8AsQC2AL0AxQDNANUA2wDfAOIA5QDoAOwA8AD3AP4BBgEOARUBGgEcARsBFwEQAQcA/QD0AOsA4wDdANcA0wDOAMgAwQC4AK4AoQCUAIYAeQBrAF4AUgBHAD0AMwAqACIAGQATAA0ACQAHAAcACQAMABAAEwAXABkAGgAaABkAFwAWABYAFgAZABwAIAAkACgAKgAqACkAJQAfABkAEQAKAAT////7//n/+f/5//n/+v/7//z//gAAAAMACAAOABUAHQAlAC0AMwA4ADoAOgA3ADIALAAlAB4AFwAQAAoABP/9//X/7P/h/9T/xf+0/6L/jv96/2b/U/9C/zL/JP8Y/w//B/8A/vv+9v7w/un+3/7S/sH+q/6P/m3+R/4d/fD9w/2W/W39SP0p/Q/8/Pzu/OX83/zc/Nv82fzY/Nb80/zQ/M38yvzH/MX8w/zB/L/8vfy8/Lr8ufy5/Lr8vPzA/MX8y/zS/Nn84Pzl/On87Pzu/O/87/zv/PD88fzz/Pb8+vz+/QP9Cf0N/RL9Fv0Z/Rz9H/0h/SP9JP0m/Sj9Kv0s/S/9Mv03/T39RP1O/Vv9a/1+/ZX9r/3L/ej+Bv4h/jf+Rv5L/kX+Mf4Q/eH9p/1l/R380/yN/E38Fvvs+8/7vvu5+777yPvY++n7+fwI/BT8Hvwm/Cz8Mvw4/D78Q/xI/Ez8TfxL/Eb8PPwu/Bz8B/vv+9b7vPuh+4f7bvtV+z37JvsQ+vv65vrS+r/6q/qW+oD6afpQ+jb6Gvn9+eD5xPmo+Y35dPlc+Ub5MPkZ+QL46fjO+LL4lfh4+Fv4Qfgp+BT4A/f19+n33vfU98n3vPev96D3kveF93r3cvdu9273cPd193v3fvd/93v3cvdk91H3O/ck9w/2/fbw9ur26/by9wD3E/cp90H3W/d195D3q/fH9+T4A/gi+EL4YfiA+Jv4s/jG+NT43fjj+Ob46Pjs+PL4/PkJ+Rr5L/lE+Vr5bvl/+Yz5k/mU+ZH5ivl/+XP5Zvla+U/5R/lD+UP5SPlR+V/5c/mL+aj5x/nq+g76MfpU+nP6j/qn+rv6yvrV+t364/rp+u769fr++wr7G/sv+0f7Y/uB+6L7xPvl/AX8I/w+/FX8afx5/If8lPyh/LD8wfzW/O/9Dv0y/Vv9if27/fH+Kv5l/qH+3v8b/1f/j//E//MAHAA+AFgAbAB7AIcAkwCgALMAzADuARoBTgGLAc0CEwJaAp8C4AMdA1MDgwOsA9AD8AQMBCQEOwRPBGIEdASEBJUEpQS2BMoE4AT5BRYFNgVZBX8FpQXMBfMGGAY7Bl4GfwaiBsUG6wcUB0EHcgelB9sIEwhLCIMIuQjsCR0JSglzCZcJtwnSCegJ+AoCCgcKBwoECf4J9wnxCe4J7gnzCf0KDQohCjoKVwp2CpcKugreCwQLLAtWC4ILsQvjDBYMSQx8DK4M3A0HDS4NUQ1wDYwNpQ29DdMN6Q3/DhUOKw4/DlMOZQ52DoUOkg6eDqsOtw7FDtUO5w77DxAPJg88D1EPZg94D4kPmA+nD7UPxQ/WD+oQARAcEDgQVxB3EJcQtxDVEPMREBEtEUsRahGLEa8R1BH6EiASRBJmEoMSnBKxEsIS0RLeEusS+hMJExoTLBM+E08TXhNrE3YTgBOKE5QToROvE8AT0RPiE/AT+RP8E/gT7hPgE9ATwxO8E74TzRPoFA4UPRRxFKUU1BT5FRIVHhUcFQ8U+hTiFMkUtRSlFJ0UmxSfFKgUshS+FMkU1BTgFO0U/BUOFSMVOxVUFW0VgxWUFZ8VoRWbFY4VeRVhFUYVLBUVFQMU9hTxFPEU9xUBFQ0VGhUnFTEVOBU7FToVNRUtFSIVFRUIFPwU8RToFOIU3hTcFNwU3RTeFN4U3hTdFNoU1hTRFMoUwxS8FLUUrhSnFKIUnRSZFJUUkhSPFIsUiBSEFH8UehR1FG8UaRRjFF0UVxRRFEoUQxQ7FDIUKBQdFBAUAxP2E+gT2xPNE8gTuxOtE58TjxN+E2wTVxNBEyoTExL6EuISyhKxEpcSfRJiEkUSKBIKEe0R0BG2EZ4RiBF1EWMRUhFBES8RGxEGEO8Q2BDCEK0QmhCLEH4QdBBrEGIQWRBNEEAQMhAiEBMQBQ/7D/UP8Q/xD/EP8Q/sD+IP0A+2D5MPaA83DwIOyw6TDl0OKQ33DccNmA1oDTgNBwzVDKEMbww9DA0L3wuzC4oLYgs7CxQK7ArECpwKdQpQCi0KDQnyCdoJxgmzCaIJkAl9CWcJTQkxCRMI8wjSCLEIkgh0CFgIPAgiCAcH7AfRB7YHmweAB2YHTgc3ByMHEAb+BuwG2wbIBrQGoAaKBnUGYAZMBjoGKgYcBhAGBQX7BfAF5gXZBcwFvAWrBZcFggVrBVIFNwUaBPwE2wS5BJcEdARTBDMEFQP6A+EDywO2A6MDkQN/A20DXQNNAz4DMAMkAxoDEQMJAwEC+gLxAukC3wLUAskCvwK0AqkCnwKTAocCeAJlAk8CNQIXAfYB1AGxAZABcwFZAUQBMwElARoBEQEJAQAA9wDuAOQA2gDSAMsAxAC/ALkAsgCoAJsAiQByAFYANgAT/+3/yP+k/4P/Zv9N/zj/Jv8Y/wz/Af73/uz+4f7V/sf+uf6p/pj+hv50/mH+Tv47/in+F/4H/fn97P3g/db9zv3G/cD9uv20/a/9qv2k/Z39lv2O/YX9ev1v/WT9WP1N/UP9Ov0y/Sz9KP0k/SD9G/0V/Q39A/z4/Or83PzO/MH8t/yv/Kn8p/ym/Kj8qvyt/K/8sfyz/LX8t/y5/Lz8v/zD/MX8xvzE/L78s/yk/JD8efxf/ET8KvwS+/z76fvb+8/7x/vA+7v7t/uy+637qPui+5v7lfuO+4f7gPt3+2/7Zftb+1D7RPs5+y/7Jfsc+xX7D/sJ+wT6//r6+vT67frm+t/62PrR+sr6xfrA+r36u/q5+rj6t/q3+rf6uPq5+rr6vPq9+r76vvq8+rn6tfqv+qj6ovqd+pr6mvqe+qX6r/q7+sj61vri+uz69Pr6+v77A/sI+w/7GPsi+y77OPtB+0X7Qvs4+yf7D/ry+tP6tPqZ+oT6ePp1+nv6ivqf+rn61frw+wr7Ivs2+0j7WPtn+3b7hvuX+6n7u/vO++H78vwB/A78F/we/CH8IPwc/BX8DPwC+/f77fvl+9/73Pve++P77Pv4/Ab8Ffwi/C78OPw//EP8RfxG/Eb8R/xJ/Ez8UvxY/GD8Z/xt/HP8dvx3/Hf8dPxx/G78bPxr/Gz8cPx3/IH8jfyc/Kz8v/zS/Ob8+v0P/SL9NP1F/VX9Yv1s/XT9ef16/Xn9df1v/Wf9X/1X/U/9Sf1F/UL9Qv1E/Uf9S/1Q/Vb9W/1h/Wb9a/1x/Xf9fv2F/Y79mf2k/bD9vf3L/dn95/30/gL+D/4b/ij+M/4//kr+Vf5g/mv+dv6A/ov+lf6f/qj+sf64/r/+xv7M/tL+2P7g/uj+8f78/wf/Ev8d/yf/Mf85/0D/Rf9J/03/Uf9W/1v/Yf9p/3L/fP+G/5H/nP+n/7H/u//F/87/1//g/+n/8//8AAYADwAXAB8AJgArAC8AMgAzADQAMwAyADEAMAAwADIANAA5AD8ASABRAFsAZQBvAHgAfwCFAIgAigCKAIoAiQCJAIkAigCLAI4AkQCVAJkAngCkAKsAswC8AMcA0wDfAOsA9QD+AQMBBQEEAP8A+QDzAO4A7ADtAPQA/wEOAR8BMQFBAU8BVwFaAVcBUAFFATkBLAEhARgBEwERARIBFQEYARwBHwEgASEBIAEfAR4BHAEbARoBGAEUAQ8BBwD9APEA5ADXAMsAwgC8ALsAvQDDAMwA1wDiAO0A9gD+AQMBCAELAQ8BEwEYAR0BIgEnASsBLQEuASwBKAEjAR0BFwESAQ4BCgEHAQQBAAD6APIA5wDZAMoAuACmAJUAhQB3AGsAYABYAFEASgBEAD0ANwAxACwAKAAmACYAKAArAC8AMwA3ADoAPAA9ADwAOgA5ADgAOAA5ADsAPwBCAEUARwBHAEYAQwA/ADkAMgAsACYAIAAcABgAFQASAA8ADAAJAAYABAADAAMABgALABEAGQAhACkAMAA0ADYANQAxACsAIgAZAA8ABv/+//f/8P/q/+T/3P/U/8j/u/+r/5n/hv9z/2D/T/9A/zP/Kv8k/yL/Iv8k/yj/LP8v/y//LP8k/xb/Av7n/sb+n/50/kb+GP3r/cH9nP19/WP9T/1B/Tf9MP0s/Sj9JP0h/R39Gf0U/RD9DP0J/Qb9BP0B/P38+fz0/O/86fzk/OD83fzc/N383/zj/Of87Pzw/PP89vz3/Pj8+Pz5/Pn8+/z+/QH9Bv0M/RP9Gv0h/Sn9MP03/T/9Rf1M/VL9V/1c/WD9ZP1o/Wv9b/10/Xr9g/2O/Zz9rv3C/dr98/4N/if+Pv5Q/lz+X/5W/kL+If3z/br9ef0x/Of8nvxb/CD78PvM+7T7qPum+6z7tvvE+9L73vvp+/L7+vwA/Ab8C/wR/Bb8G/we/B/8HfwW/Ar7+vvm+8/7tfua+3/7Y/tJ+zD7GfsD+u362frG+rL6n/qM+nn6ZfpR+jz6J/oQ+fn54vnL+bX5oPmN+Xv5a/lc+U35Pfks+Rj5Afjm+Mn4qfiH+Gb4R/gp+A/3+Pfk99P3xPe196f3mPeI93j3Z/dY90r3QPc69zf3N/c69z33P/c/9zz3M/cl9xT2//bp9tT2wfaz9qr2qPas9rb2xPbW9uv3AfcX9y73R/dg93r3lve099L38fgP+Cr4QvhV+GT4b/h2+Hv4gPiG+I/4m/is+MH42Pjw+Qj5HPkr+TX5Ofk2+S/5I/kV+Qf4+vjw+Or46Pjq+PL4/fkN+SD5NflO+Wn5hvmk+cL54Pn++hn6M/pJ+lz6bPp4+oL6ifqP+pX6m/qj+q36uvrL+t/69/sR+y77Tfts+4v7qfvE+9779fwL/CH8NvxN/Gf8g/yj/Mb87P0V/T/9bP2Z/cf99f4k/lT+hf63/un/Gf9I/3L/mP+3/9D/4v/v//gAAAAKABgALQBKAHAAnwDWAREBUAGPAcwCBgI7AmwCmQLDAu0DFwNBA24DmwPIA/QEHgREBGUEgQSZBK4EwATTBOcE/wUaBTsFXwWHBbIF3QYJBjQGXgaHBq8G2AcCBy4HXAeNB8EH9ggtCGQImQjNCP8JLQlYCX4JoQm+CdgJ7Qn+CgsKFAobCiAKJAopCi8KOApCCk8KXwpwCoIKlAqnCrgKyQrbCu4LBAsdCzsLXwuIC7YL6AwdDFIMhgy4DOUNDg0xDVANag2BDZcNrA3CDdoN8w4NDikORQ5hDnsOlA6qDr8O0g7jDvQPBQ8XDykPPA9PD2MPdg+JD5sPrA+9D80P3g/wEAUQGxA1EFEQcBCPELAQ0BDvEQ0RKxFIEWURgxGjEcQR5hIJEisSTBJrEoUSnBKwEsES0RLiEvMTBxMeEzYTUBNqE4ITmROsE7wTyxPYE+YT9hQIFBwUMBRDFFEUVxRVFEkUNBQZE/wT4RPOE8cT0BPpFBIUSRSGFMYVAhU0FVkVbhV1FW8VYBVLFTUVIRURFQYU/xT9FP0U/hT/FQIVBhUNFRkVKxVDFWEVgxWmFcgV5RX5FgMWAhX1FeAVxBWkFYYVahVWFUkVRBVIFVIVYRVzFYUVlhWkFa0VshWyFa0VpBWZFYsVfBVtFV4VUBVEFTkVLxUmFR4VFxURFQsVBhUBFP0U+RT3FPUU9BTzFPIU8RTxFPAU7hTtFOsU6RTnFOMU3hTYFNAUxxS8FK8UohSTFIUUdxRqFF4UUhRHFDsUMBQkFBgUCxP+E/AT4xPWE8kTuxOsE50TjBN5E2QTTBMxExUS9xLZErwSnxKDEmcSTBIyEhcR+xHgEcURqxGTEX0RahFaEUwRPhEyESQRFREEEPEQ3RDIELMQnxCOEH4QchBnEFwQUhBHEDoQLBAdEA4QAA/0D+oP4w/eD9kP1A/LD70Pqg+PD2wPQw8VDuIOrQ54DkIODQ3ZDaYNcg0+DQgM0gybDGQMLwv8C8wLnwt3C1ILMAsPCvAK0QqzCpQKdgpaCj8KJwoRCf8J7gnfCc8JvgmrCZUJfAlgCUEJIAj+CNwIuwibCH0IXwhCCCQIBgfnB8YHpQeDB2IHQgckBwkG8AbaBscGtganBpkGiwZ+BnEGZAZXBkoGPgYyBiYGGwYPBgMF9wXqBdsFzAW6BacFkQV5BV4FQQUhBP4E2gS1BJAEawRJBCgECgPwA9gDwwOwA54DjAN7A2sDWwNLAz4DMQMnAx8DGAMTAw4DCAMBAvkC7wLkAtkCzQLBArUCqgKeApACfwJsAlQCOAIXAfQB0AGsAYkBagFPATkBJwEYAQsBAAD1AOkA3ADPAMEAtQCqAKEAmQCTAI4AiACAAHQAZQBRADkAHgAB/+L/w/+m/4v/cv9b/0b/Mv8f/wz++f7m/tP+wP6t/pv+iv55/mn+Wf5J/jn+KP4X/gb99f3l/db9yP29/bP9q/2l/aD9nP2Y/ZT9kP2L/YX9f/13/W79ZP1Z/U79Qv03/Sz9If0X/Q/9B/z//Pj88Pzm/Nz80PzD/LX8pvyY/Iz8gvx6/HX8c/x0/Hb8efx8/H/8gfyD/IX8iPyL/JD8lvyd/KP8qPyq/Kj8ofyV/IP8bfxT/Df8HPwC++r71/vH+7z7tPuu+6j7pPue+5j7kPuI+3/7dvtu+2b7XvtW+0/7R/s/+zX7K/sg+xT7CPr8+vL66Prg+tn60/rN+sj6wvq8+rf6sPqr+qX6oPqc+pr6mPqY+pn6m/qe+qH6pPqn+qv6rvqx+rT6tvq3+rj6t/q2+rX6s/qx+rH6svq1+rr6wfrK+tT63frm+u769fr7+wD7BvsM+xX7H/ss+zn7RvtR+1f7WftT+0X7MvsY+v364frI+rT6qPqk+qr6t/rL+uP6/fsW+y77Q/tW+2X7c/uA+437mvup+7n7yvvb++z7/fwM/Br8JPws/DH8M/wy/Cz8JPwa/A38APvy++f73vvZ+9j72/vj++77+/wK/Bj8JPwv/Db8O/w+/D/8P/w+/D78P/xB/ET8SPxN/FP8WPxd/GH8Zfxp/G38cfx2/Hz8g/yN/Jn8pvy2/Mb82Pzq/Pz9Dv0f/S/9Pf1L/Vf9Yf1q/XH9dv15/Xr9eP10/W/9af1i/Vr9VP1P/Uz9Sv1J/Ur9TP1N/U/9Uf1S/VP9VP1X/Vr9X/1m/XD9e/2I/Zf9pv22/cb91f3j/fH9/v4J/hT+H/4q/jT+P/5J/lT+YP5r/nf+gv6N/pf+oP6p/rL+uv7C/sr+0/7c/ub+8v79/wr/Fv8i/y3/Nv8//0b/S/9Q/1P/V/9b/1//Y/9p/2//d/9//4j/kf+b/6X/r/+6/8X/0P/b/+b/8f/7AAUADwAXACAAKAAvADYAPABCAEcASwBPAFEAUgBTAFMAVABUAFYAWABbAF8AZQBrAHEAdwB9AIMAiACMAJAAlACXAJsAnwCjAKYAqQCsAK0ArwCwALIAtgC8AMMAzQDYAOUA8QD8AQYBDQERARMBEwETARMBFgEcASYBMwFCAVIBYgFuAXcBegF3AW4BYgFTAUQBNgErASQBIQEjAScBLgE1AToBPwFBAUABPwE8AToBOAE2ATUBNAEyAS4BKAEgARUBBwD5AOsA3gDVAM8AzQDQANUA3gDoAPMA/gEHAQ8BFwEcASEBJgEpAS0BLwEwATABLgErASgBIwEgAR0BGwEbAR0BHwEhASIBIQEcARMBBwD3AOQAzwC6AKYAkwCEAHcAbQBlAF8AWgBWAFEATABIAEMAQAA+AD0APgBBAEQASABMAE8AUgBUAFUAVQBWAFYAVwBYAFoAWwBdAF4AXgBdAFoAVwBSAE0ASABCAD0AOAAzAC8AKQAkAB4AFwARAAsABQACAAAAAAADAAcADQATABgAGwAcABoAFAAMAAH/9f/o/93/0v/L/8b/w//B/8H/wP++/7r/s/+p/53/jv9+/23/Xf9O/0L/Of8z/zD/MP8x/zT/OP86/zr/OP8x/yf/F/8C/un+y/6r/oj+ZP5B/iD+A/3o/dL9wP2x/aX9m/2T/Yv9hf1//Xn9df1z/XL9c/12/Xr9fv2C/YP9g/1//Xn9b/1k/Vf9Sf08/TD9Jv0d/Rf9Ev0P/Q39DP0L/Qr9Cv0L/Qz9D/0S/Rf9Hv0l/S79OP1C/U79Wf1l/XH9fP2G/Y/9l/2d/aP9p/2s/bH9uP3A/cr91/3n/fr+Dv4j/jn+Tf5f/m3+df51/m7+Xf5C/h397v24/Xv9Ofz2/LT8dvw9/A375fvH+7H7pPud+5r7m/ue+6H7pfuq+677s/u5+8D7x/vO+9T72PvZ+9b7zvvB+6/7mfuA+2b7Svsu+xP6+vri+sz6uPql+pL6gPpu+lz6Svo5+if6FvoF+fP54vnR+cD5sPmg+ZL5hfl6+XD5Z/lg+Vf5TflB+TH5HPkC+OP4wPia+HL4Svgj9/733Pe996L3ivd292P3UfdB9zL3I/cW9wv3Avb89vf29fb09vT28/bw9uv24vbW9sf2tfai9pD2gPZz9mr2Z/Zo9m72ePaF9pX2pva49sz24Pb29w33JvdB9133eveW97D3yPfb9+v39/gA+Aj4EPga+Cj4OvhR+Gv4ifin+MP42/jt+Pf4+fjy+Ob41fjB+K74nfiQ+Ij4h/iL+JT4ofiy+MX42fju+QP5Gfku+UT5Wvlv+YX5mfmt+b/5z/ne+ev59voA+gr6E/od+in6NvpG+ln6b/qH+qL6v/rd+vv7Gfs1+1H7a/uE+537t/vT+/H8Evw1/Fv8hPyu/Nn9BP0v/Vr9hP2v/dr+Bv4z/mD+jv67/uX/DP8v/03/Z/98/4//ov+1/83/6AAKADAAXACKALoA6AEUATsBXgF9AZkBtQHTAfUCHQJMAoMCwAMCA0UDiAPHA/8EMARZBHoElQSsBMIE2ATxBQ4FLwVVBX8FqwXYBgYGMwZfBooGtAbfBwwHOwdsB58H1QgMCEQIewixCOQJFAlBCWoJjwmxCdAJ6woDChgKLAo9Ck0KXAprCnoKigqaCqsKuwrKCtcK4grqCu4K8ArxCvEK9Ar6CwULGAszC1ULfguuC+EMFwxMDH8MrgzYDP0NHg08DVcNcg2MDagNxg3mDggOKg5MDm0OjA6oDsEO1w7qDvwPDA8cDywPPQ9QD2QPeA+OD6MPuA/ND+IP9xANECQQPRBZEHcQlxC5ENsQ/REeET4RXRF7EZkRthHUEfISERIxElASbhKKEqQSuxLREuYS+hMQEygTQhNeE3wTmRO1E84T4xP0FAIUDhQaFCgUOhRRFGwUiRSmFL4UzxTVFM4UvBSgFH8UXhREFDUUNRRGFGYUlBTIFP4VLxVWFXAVexV5FW0VWhVGFTQVKBUjFSQVKhUyFTwVRBVKFU4VUhVZFWMVdBWLFakVyhXsFgwWJRY0FjgWMRYfFgUV5xXIFa0VmRWNFYoVjxWcFa0VwRXWFegV+BYDFgsWDhYOFgoWBRX+FfUV7BXiFdcVyxW/FbIVpBWVFYcVeBVqFV0VUhVIFUEVPBU5FTcVNxU4FTkVORU5FTgVNhU0FTEVLRUpFSUVHhUXFQwVABTxFN8UzBS4FKQUkRR+FG4UXxRSFEUUORQsFB8UEhQDE/QT5hPXE7YTpROVE4QTchNeE0cTLRMQEvIS0hKyEpMSdhJbEkISKxIUEf4R5xHPEbcRnxGIEXIRXhFNET8RMxEoER0REREEEPYQ5RDTEMEQrxCdEI0QfxByEGYQWRBMED4QLhAdEAsP+g/qD9sPzg/DD7gPrQ+hD5EPfA9hD0EPHA7yDsQOkw5hDi8N/A3JDZUNYA0rDPQMvQyFDE4MGQvnC7gLjgtoC0YLKQsOCvYK3grICrEKmgqECm0KVwpCCi0KGAoDCe4J2AnACaYJigltCU4JLwkPCPAI0gi1CJkIfghjCEgILAgNB+0HywenB4IHXQc5BxcG+AbcBsQGsAagBpMGiQaABngGcAZnBl4GVAZJBj0GMAYjBhUGBgX3BecF1gXDBa4FmAV/BWMFRQUlBQIE3QS4BJIEbQRKBCkECwPxA9kDxQOyA6IDkwOEA3YDaANbA08DRAM7AzMDLAMmAyADGQMSAwgC/QLxAuMC1QLGArcCqAKZAocCdAJdAkMCJgIGAeQBwQGeAX4BYQFIATIBIAEQAQEA8wDkANQAxACzAKMAlQCIAH8AeABzAG8AagBkAFsATwA/ACwAFv/+/+b/z/+4/6P/jv96/2b/UP86/yL/Cf7v/tX+vP6l/o/+fP5r/lv+S/48/iv+Gv4H/fP93v3K/bj9p/2Y/Y39hP1+/Xr9d/11/XL9b/1r/WX9X/1X/U79Rf07/TD9Jf0a/Q/9BPz6/O/85vzc/NP8yvzA/LX8qvyd/JD8gvx0/Gb8W/xR/Er8RfxE/ET8RfxI/Ev8TvxR/FT8WPxd/GP8afxx/Hn8f/yE/IX8gvx5/Gz8WvxE/Cz8E/v7++X70/vD+7f7rful+577lvuN+4T7eftt+2H7VftJ+z/7Nfst+yX7HPsU+wr6//rz+ub62frN+sH6tvqt+qb6oPqb+pj6lvqT+pH6kPqO+o36jfqO+o/6kvqV+pn6nPqe+p/6n/qd+pr6lvqS+o36ifqG+oT6g/qD+oT6hvqI+ov6jvqT+pn6oPqp+rL6vPrG+s/61/rf+ub67Prz+vv7BfsR+x/7Lvs9+0r7U/tY+1f7UPtD+zH7HfsJ+vf66frh+t/65Prv+v37D/sj+zb7Sftb+237ffuO+5/7sPvC+9X75/v6/Av8HPwr/Dj8Q/xN/FT8WPxa/Fj8U/xL/D/8Mvwj/BT8Bvv6+/H77Pvr++378/v7/AX8DvwY/CD8J/ws/C/8Mfwy/DL8Mvwz/DT8N/w6/D/8RvxN/Fb8YPxq/HT8f/yL/Jf8o/yw/L38zPza/Or8+v0J/Rj9Jv0z/T/9Sf1T/Vv9Yv1n/Wz9b/1w/XD9bf1p/WP9XP1U/Uv9Q/08/Tb9Mf0t/Sv9Kv0q/Sr9Kv0s/S79MP01/Tv9RP1P/Vv9av16/Yz9nf2v/cD90f3g/e/9/P4J/hX+IP4r/jb+Qf5L/lb+Yf5s/nf+gv6M/pf+of6q/rT+vf7H/tD+2/7m/vL+/v8L/xf/JP8w/zr/RP9M/1L/WP9c/2D/Y/9m/2n/bf9x/3X/ev+A/4f/j/+Y/6L/rf+5/8f/1f/j//D//QAKABUAHwApADEAOgBDAEsAVABdAGYAbgB0AHgAegB6AHgAdABvAGoAZgBjAGIAYwBmAGoAbwB1AHsAgQCHAI0AkgCYAJ0AogCnAKwArwCyALQAtAC0ALQAtAC2ALkAvgDFAM4A1wDiAO0A9gD+AQUBCwERARgBIAEpATUBQgFRAV4BagFyAXUBdAFtAWIBUwFEATUBKAEgARwBHQEhASkBMgE7AUIBSAFKAUsBSQFHAUUBQwFDAUQBRQFHAUYBRAE/ATcBLAEfARABAgD1AOsA5ADgAN8A4gDnAO4A9gD+AQYBDQEUARkBHgEhASMBIwEiAR8BGwEVARABCgEHAQUBBQEIAQwBEgEXARsBHAEaARQBCgD8AOsA1wDEALAAnwCPAIIAeABwAGkAZABgAFwAWABUAFEATwBNAE0ATQBPAFEAVABYAFwAYABkAGgAbABwAHQAeAB7AH0AfgB9AHsAeAByAGwAZQBeAFcAUABJAEIAPAA1AC4AJwAgABgAEAAJAAL//f/6//n/+v/8//8AAwAGAAgABgAC//v/8P/j/9T/xP+1/6f/nf+V/5L/kv+V/5r/n/+l/6j/qf+o/6L/mv+Q/4T/d/9q/17/U/9K/0P/Pf84/zT/MP8s/yf/If8a/xH/B/76/uz+3P7L/rj+pP6P/nv+Z/5U/kP+M/4k/hf+C/4B/fj98f3s/en96v3u/fX+Af4P/h/+L/4+/kv+U/5W/lL+SP44/iP+Cv3v/dP9uP2e/Yj9dP1k/Vb9TP1E/T79Ov03/TX9Nf03/Tn9Pv1E/U39V/1j/XH9gP2Q/aH9sf3B/c/92/3n/fH9+v4D/g3+GP4l/jT+Rf5W/mn+ev6J/pX+nP6d/pj+i/52/ln+Nf4L/dv9pv1v/Tb8/vzH/JT8Zfw6/BX79fvZ+8L7rvud+4/7gvt4+2/7aftl+2T7Zfto+2z7cPt0+3T7cvtr+2D7Ufs++yj7EPr4+uH6yvq1+qL6kPqA+nH6YfpS+kL6Mvoi+hL6Avnz+eT51/nJ+b35sPmk+Zj5jPmB+Xf5bvln+WH5XflZ+VX5T/lH+Tr5KfkR+PP4z/im+Hj4R/gW9+T3tfeJ92H3Pvcg9wb28vbh9tT2yfbB9rr2tfax9q72q/ap9qf2pfah9pv2lPaL9n/2cvZj9lX2RvY69jD2KfYn9ij2LfY29kL2UPZg9nL2hfaZ9q/2xvbf9vn3Evcs90T3Wfds93z3ifeT9533qPe298f33vf6+Br4Pvhh+IP4n/i1+MD4w/i7+Kv4lfh7+GH4Sfg0+Cb4Hvgd+CH4K/g3+Eb4Vvhn+Hf4h/iW+Kb4t/jI+Nn46/j++RD5Ivk0+UT5VPlj+XD5ffmK+Zf5pvm1+cf52vnw+gn6I/o/+lz6efqX+rT60Prs+wj7JPtB+2D7gfuk+8j77/wY/EL8bfyZ/MX88v0g/U/9fv2v/eD+Ef5B/m/+nP7G/u3/Ef80/1X/d/+a/7//5gAOADgAYgCJAK4AzQDnAPsBCQEUARwBJgE0AUgBZgGNAb8B+gI9AoYC0AMZA18DngPWBAcEMARVBHYElgS3BNsFAQUrBVcFhQWzBeIGDwY6BmUGjwa5BuUHEwdEB3kHsQfrCCcIYwieCNcJDAk+CWsJlAm5CdsJ+AoTCisKQgpXCmsKfwqTCqgKvQrTCugK/AsNCxsLJQspCygLIQsWCwkK+wrvCugK5wrvCwELHAtBC20LngvTDAoMQAxzDKMM0Az5DR4NQg1lDYcNqg3NDfEOFQ44DlsOew6YDrMOyw7gDvQPBg8XDykPOw9OD2MPeQ+QD6gPwA/YD/EQChAlEEEQXhB+EKAQxBDpEQ8RNBFZEX0RnxHAEd8R/RIaEjcSVBJxEo4SqRLEEt4S9hMOEycTQBNaE3cTlhO2E9YT9BQOFCQUNBQ/FEYUTBRTFF0UbhSGFKUUyBTuFRAVKxU8FUAVNhUhFQUU5hTLFLkUtBS8FNEU7xURFTIVSxVZFVkVTBU1FRgU/BTlFNgU1xTiFPcVFBU0FVMVbRWCFZEVmxWkFa8VvBXOFeUV/hYXFiwWOxZAFjwWLhYZFgAV5xXRFcEVuhW8FcUV1RXpFf4WEhYjFjAWORY+FkEWQxZEFkUWRhZHFkgWSBZGFkIWOxYxFiQWFRYEFfIV4BXOFb4VsBWlFZwVlRWRFY0VihWGFYEVehVxFWcVXBVRFUcVPRU0FSwVJBUcFRMVCBT7FOsU2hTHFLQUoRSPFH8UcBRhFFMURRQ1FCQUExQAE+0T2hPHE40TexNqE1kTRxM0Ex4TBRLpEssSrRKPEnISWBJAEisSGBIGEfQR4RHNEbgRohGMEXYRYhFREUERNBEoER4RExEHEPoQ7BDcEMsQuhCpEJkQihB7EGwQXRBNEDsQKBAUD/4P6Q/VD8EPsA+hD5MPhQ93D2cPVA89DyEPAQ7cDrQOiA5aDioN+Q3HDZQNYA0rDPUMwAyKDFUMIwvzC8cLnwt8C14LRQsvCxwLCgr5CugK1QrACqgKjgpyClMKMwoSCfEJ0QmwCZEJcglVCTkJHgkECOsI0wi9CKgIkwh/CGoIVQg9CCQIBwfnB8MHnQd2B04HKAcDBuMGxgatBpoGigZ8BnIGaAZfBlYGTAZBBjcGKwYfBhIGBAX1BeUF1AXABasFkwV6BV4FQQUhBQAE3gS7BJgEdARSBDIEFAP4A+ADzAO6A6oDnQORA4YDewNxA2cDXQNUA0sDQwM7AzMDKgMhAxcDCwL+Au8C3gLNAroCpgKRAnoCYQJHAioCDAHsAcwBrQGPAXQBXAFHATUBJgEXAQkA+gDrANoAyAC2AKUAlgCJAH4AdQBvAGgAYgBaAFAAQwA0ACIAEP/+/+z/2//M/77/r/+h/5H/f/9r/1T/O/8g/wX+6/7S/rr+pf6R/n3+av5W/kD+KP4O/fL91v26/aD9if11/Wb9Wv1T/U79TP1K/Un9R/1D/T/9Of0y/Sr9If0Z/RD9B/z+/PT86/zh/Nj8zvzF/Lv8svyp/KD8lvyL/H/8cvxl/Ff8Svw+/DP8K/wm/CP8I/wl/Cf8K/wu/DL8Nvw7/D/8RPxK/E/8VPxY/Fr8WPxT/Er8Pfwu/Bv8CPv0++D7z/u++7D7o/uX+4v7f/ty+2T7VftG+zf7KPsa+w77Avr4+u/65vre+tX6y/rB+rb6q/qg+pb6jfqF+n/6evp2+nT6c/pz+nP6c/p1+nb6efp9+oH6hvqL+o/6kvqT+pH6jPqE+nr6b/pi+lf6TPpE+j76O/o7+jz6PvpC+kb6SvpP+lT6W/pj+mz6ePqE+pD6nPqn+rH6uvrB+sn60vrc+un6+fsL+x37MPtB+077VftX+1P7Svs8+y37HvsQ+wb7AfsA+wT7DPsY+yf7OPtL+2D7dvuN+6X7vfvW++/8B/wd/DL8RfxW/GT8cPx6/IH8hvyH/Ib8gfx5/G78YfxR/ED8MPwg/BL8B/v++/j79Pvz+/X7+Pv8/AH8CPwO/BX8G/wh/Cb8Kvwu/DH8Nfw4/D38Q/xL/FX8Yfxu/Hz8i/yb/Kr8uvzJ/Nj85/z1/QT9Ef0e/Sr9Nf0//Uf9Tv1U/Vj9W/1c/V39XP1Z/VX9Tv1H/T39Mv0n/Rz9Ef0H/P/8+Pzz/PD87/zw/PP89/z+/Qb9Ef0d/Sr9Of1K/Vv9bP19/Y/9n/2w/cD90f3h/fD+AP4P/h7+Lf46/kf+Uv5d/mj+cv58/oX+j/6Z/qP+rP62/sD+yv7U/t7+6f71/wH/Df8a/yf/M/8+/0n/Uv9a/2H/Z/9s/3D/dP93/3v/fv+B/4X/iP+N/5L/mP+h/6v/t//G/9b/5//5AAoAGQAoADQAPgBHAE8AVgBeAGYAbwB4AIEAigCRAJYAmACXAJMAjQCFAH0AdgBwAG0AbABuAHIAeAB+AIQAigCPAJMAlgCYAJoAnQChAKUAqQCuALIAtgC5ALsAvAC9AL4AwADDAMYAywDSANgA4ADoAPAA+QECAQwBGAEkATEBPgFMAVgBYQFoAWsBaQFjAVoBTwFDATgBLgEoASUBJgEqATABNwE9AUMBSAFKAUsBSwFLAUsBSwFNAU8BUgFUAVYBVgFTAU0BRQE7AS8BIgEWAQsBAgD6APUA8wDyAPMA9QD3APsA/gECAQUBBwEJAQkBCQEHAQMA/wD5APQA7wDrAOkA6QDrAO8A8wD4APwA/wD/AP0A9wDvAOQA1wDIALkAqgCbAI4AggB3AG4AZgBfAFsAVwBVAFMAUwBUAFUAVwBaAF0AYABkAGgAbgBzAHoAgACHAI4AkwCXAJkAmQCWAJIAiwCDAHkAbwBlAFsAUQBHAD4ANQAsACIAGQARAAgAAf/6//b/8v/x//L/8//1//f/+P/4//b/8f/q/+H/1f/I/7r/q/+e/5P/iv+D/4H/gf+D/4j/jv+U/5r/nv+f/57/m/+W/4//h/9+/3X/bf9k/1z/U/9L/0L/OP8v/yX/HP8T/wr/Av77/vX+7v7n/uD+1/7N/sH+tf6o/pr+jf6B/nb+bP5k/l7+Wv5a/lz+Y/5u/nz+j/6l/r7+1/7v/wX/Fv8h/yX/IP8T/v/+4/7D/qD+e/5X/jT+FP33/d79yf23/aj9nP2R/Yn9gv19/Xn9d/14/Xz9g/2N/Zr9qf27/c/95P34/g3+If4z/kX+Vv5m/nX+hf6U/qL+sP67/sP+x/7G/sD+sv6e/oT+Y/4+/hT95/24/Yj9WP0p/P380/ys/Ij8ZvxH/Cv8D/v0+9r7wfuo+5D7eftl+1T7R/s9+zX7Mfst+yn7JPsc+xH7Avrw+tz6xfqv+pn6hvp1+mf6W/pS+kr6Qvo6+jD6JfoY+gn5+vnq+dv5zPm/+bP5qPmf+ZX5jPmC+Xj5bvlk+Vv5UvlL+Ub5Qvk/+Tz5Ofk0+Sv5HPkI+O34yvig+HD4O/gD98n3j/dY9yb2+PbS9rL2mfaG9nj2b/Zq9mb2ZPZj9mL2YPZf9l32W/ZY9lT2UPZJ9kH2N/Yr9h72EPYC9fX16/Xk9eH14/Xq9fT2AvYT9ib2OvZP9mT2efaP9qT2ufbN9uH28vcC9xD3Hfco9zT3QfdR92X3fved98D35fgM+DH4Ufhp+Hj4ffh3+Gf4UPg0+Bb3+Pfd98f3uPeu96v3rfez97z3x/fT9+D37ff7+An4F/gn+Df4SPha+Gz4f/iS+KT4tvjI+Nn46fj5+Qn5Gfkp+Tr5TPlg+XX5jPml+cD52/n4+hT6MfpO+mr6h/qk+sH63/r/+yD7RPtp+5H7u/vo/Bf8SPx8/LL86f0i/Vr9k/3K/gD+Nf5o/pn+yv76/yn/Wf+J/7n/6AAWAEEAagCNAKwAxQDYAOYA8AD2APwBAgELARgBLAFHAWoBlQHHAf4COgJ5ArcC9AMuA2UDmQPKA/kEKARWBIcEuQTtBSIFWAWMBb8F8AYeBkoGdQafBssG+QcrB2IHnAfZCBoIWwibCNgJEglHCXcJoQnFCeUKAAoYCi0KQQpUCmgKfAqSCqkKwQrbCvQLDAsiCzMLPwtEC0ELNwsnCxIK+griCs4Kvwq5CrwKywrlCwkLNwtrC6ML3wwaDFQMiwy/DO8NHA1HDW8NlQ27Dd8OAg4lDkYOZg6FDqIOvQ7WDu4PBQ8bDzAPRQ9bD3APhg+dD7UPzQ/nEAIQHhA7EFoQexCeEMIQ6BEPETYRXhGFEaoRzxHxEhMSMxJSEnASjhKrEsgS4xL/ExkTMxNNE2gThBOiE8IT4xQFFCcURhRhFHYUhRSPFJQUlhSZFJ8UqxS9FNcU9hUXFTUVThVeFWEVWRVGFSwVEBT4FOgU4xTqFPsVExUsFUAVSxVJFTkVHBT3FM8UrBSSFIgUjhSkFMcU8xUjFVEVeRWaFbIVxBXSFd8V7RX+FhEWJBY2FkMWSRZHFjwWKxYVFf8V7RXiFd8V5hX1FgoWIhY6Fk4WXhZnFmsWahZnFmQWYRZhFmQWaRZwFnYWfBZ+Fn0WeBZvFmIWUhZAFi4WHBYLFf0V8RXoFeIV3RXZFdQVzRXDFbYVpBWPFXcVXhVGFS8VGxULFP8U9hTvFOkU4xTcFNMUyBS7FKwUnRSNFH4UbhReFE4UPBQoFBMT/BPlE80TthOhE14TTRM8EywTHBMKEvUS3hLFEqoSjxJ0ElsSRBIwEh4SDRH9Ee4R3hHNEboRpxGUEYERbxFfEVARQxE2ESoRHREQEQEQ8RDfEM0QuhCnEJQQghBwEF8QTBA5ECUQEA/6D+MPzQ+3D6QPkg+DD3UPaQ9cD04PPg8qDxIO9Q7UDq4OhA5XDicN9g3EDZENXg0rDPgMxQyTDGMMNQwJC+ELvQudC4ILbAtaC0sLPgsxCyILEAr6Ct4KvQqWCmwKPwoSCeUJuwmVCXMJVgk9CScJEwkBCPAI3wjOCL0IrAicCIwIfAhqCFYIQAglCAUH4Qe5B44HYgc2BwsG5AbBBqMGiQZzBmEGUQZEBjgGLQYjBhoGEQYIBf8F9AXoBdoFyQW1BZ4FhQVqBU4FMQUTBPUE1gS3BJgEeARZBDkEHAQAA+cD0QO/A7ADpAObA5MDjAOEA3wDcwNpA14DUwNIAz0DMgMoAx0DEQMEAvUC5ALRArwCpAKLAnACUwI1AhcB+AHZAbsBoAGGAXABXQFMAT4BMgEmARsBDgEBAPMA4wDTAMIAsQCiAJIAhAB1AGcAVwBHADUAIwAQ//3/7P/d/9D/xv++/7n/tP+v/6n/of+W/4j/dv9i/0z/NP8b/wL+6f7P/rX+mf58/l3+Pf4a/fb90v2v/Y79cf1Y/UT9Nf0r/Sb9I/0i/SL9Iv0g/R39Gf0T/Qz9Bfz+/Pf88Pzp/OL82vzS/Mn8wPy2/Kz8o/ya/JH8ifyA/Hb8bPxg/FT8R/w7/DD8J/wh/B78Hfwe/CD8JPwn/Cv8Lfwv/DD8Mfwy/DP8M/wz/DP8Mfwt/Cb8HfwS/AT79Pvj+9H7v/uu+537jPt8+2z7W/tL+zr7KfsY+wf6+Prq+t360vrI+sD6uPqx+qv6pfqe+pj6kfqK+oP6ffp3+nL6bfpq+mf6Zvpl+mX6Zvpn+mn6bPpw+nT6ePp8+n/6gfqB+n76efpy+mj6XfpR+kb6PPo0+i/6Lfos+i36Lvow+jD6Mfox+jL6NPo4+j/6SfpV+mT6cvqA+o36l/qg+qb6rPqz+rv6xvrV+uf6+/sP+yL7Mfs8+0H7QPs6+y/7IvsV+wn7APr8+vz7AfsK+xf7KPs8+1L7avuD+577uvvX+/P8D/wq/EP8Wvxu/IH8j/yb/KP8p/yn/KP8mvyP/ID8b/xd/Ev8Ofwo/Bn8C/v/+/X77fvl++D73Pvb+9z73/vl++379/wB/Az8Fvwf/Cf8Lfwz/Dn8QPxJ/FP8YPxu/H78j/yh/LT8xfzW/Ob89P0C/Q39GP0i/Sr9MP02/Tr9Pf0+/T/9Pv08/Tn9NP0t/SX9G/0Q/QT89/zq/N780vzJ/MH8u/y3/Lf8ufy+/Mf80/zi/PT9B/0d/TP9SP1c/W79fv2M/Zn9pf2w/b39yv3a/ev9/v4R/iX+N/5J/ln+Zv5z/n3+h/6Q/pr+o/6s/rb+wP7J/tP+3P7l/u/++f8D/w7/Gf8l/zD/PP9G/1D/Wf9h/2j/bv90/3n/f/+E/4n/jv+S/5b/mv+e/6L/qP+w/7r/x//X/+n//QARACQANgBGAFMAXQBlAGoAbwB0AHkAfwCHAI8AmACgAKYAqQCpAKcAogCaAJMAjACHAIQAhACHAI0AlACcAKMAqACsAK0ArACqAKgApgCmAKcAqgCvALYAvQDDAMoAzgDSANQA1gDWANcA2ADaAN0A4gDoAPAA+QEEARABHQEqATgBRgFTAV4BaAFvAXMBdQF0AXABawFkAV0BVwFSAU4BSwFKAUoBSwFNAU8BUQFTAVUBWAFaAV0BYAFiAWUBZgFnAWYBZAFgAVoBVAFMAUMBOwEyASoBIwEdARgBEwEPAQsBCAEFAQIA/wD8APoA+AD3APUA8wDwAO4A6wDoAOUA4gDfAN4A3QDdAN0A3wDhAOMA5QDmAOcA5gDjAN4A1wDPAMQAtgCoAJgAiAB4AGoAXQBTAEwARwBFAEYASQBOAFMAWABeAGMAaABtAHIAdwB9AIIAiACOAJMAlwCaAJoAmQCWAJAAigCCAHkAcABnAF4AVABLAEAANgAsACEAFwANAAX//v/4//T/8v/x//D/7//t/+v/5//i/9v/1P/M/8P/u/+z/6z/pf+g/5v/l/+U/5L/kf+R/5H/kf+R/5H/kP+P/47/i/+J/4b/g/+B/3//ff97/3j/df9w/2n/Yf9Y/07/Q/85/zD/KP8g/xr/Ff8Q/wr/BP78/vT+6v7f/tT+yv7B/rn+tP6w/q/+sP60/rn+wf7M/tn+6f78/xH/J/8+/1T/aP94/4L/h/+F/3z/bP9W/zz/Hv79/tz+vP6c/n/+Zf5M/jf+JP4T/gT99v3r/eH92f3U/dH90f3V/dz95/31/gb+Gv4v/kX+XP5z/on+nv6y/sT+0/7e/ub+6f7n/t7+0P67/qD+f/5a/jL+CP3d/bP9if1h/Tz9GPz4/Nn8vfyj/Ir8cvxa/EL8KfwP+/X72vu/+6X7jPt2+2L7UvtD+zf7K/se+xD6/vrp+tH6t/qb+oH6aPpS+kH6Nfot+in6KPom+iX6IPoZ+g76APnv+d35yvm4+af5mPmL+YD5dvlt+WX5XflU+Uv5Qvk4+S/5J/kg+Rv5F/kV+RP5EPkL+QP49/jl+Mv4q/iD+FT4H/fl96n3bPcw9vj2xPaX9nL2U/Y89iv2IPYZ9hb2FPYT9hP2EvYS9hH2EPYO9gz2CPYD9fz18/Xo9dr1y/W89a71ofWZ9ZX1l/We9av1u/XO9eP1+PYM9h/2MPZA9k72W/Zo9nT2f/aL9pb2ovat9rr2yfbb9vD3Cvcp90v3cfeX97z33ff3+An4EvgR+Ab38/fa9733n/eD92n3VPdE9zr3Nfc09zb3PPdE9033V/dj92/3fPeK95n3qPe498j32ffr9/74Evgm+Dr4UPhl+Hr4jvij+Lf4yvje+PL5Bvkc+TL5Svlj+Xz5lvmx+cz55/oB+hz6N/pU+nH6kPqx+tX6/fsp+1n7jPvE+/78O/x6/Ln8+f04/Xf9tf3y/i7+av6m/uL/Hf9W/43/wP/wABsAQQBjAIAAmgCxAMYA2gDtAQABEgEkATcBSgFeAXMBjAGoAccB6wISAj0CawKaAswC/gMyA2YDnQPVBBAETQSMBM0FDgVOBYwFxgX+BjIGYwaUBsQG9gcrB2MHnwffCCAIYgiiCN8JFwlKCXcJnQm9CdgJ7woDChYKKQo8ClEKZwp/CpkKtArPCuoLAgsYCygLMws3CzMLJwsVCv4K5ArJCrAKnQqRCo8KmAqsCswK9gsoC2ALnQvbDBkMVQyPDMUM+A0nDVMNfQ2lDcsN8A4TDjYOWA55DpkOuQ7XDvQPEA8qD0MPWw9xD4cPnQ+zD8oP4g/8EBgQNhBVEHcQmRC8EOARBBEoEU0RchGWEboR3hICEiUSRxJpEosSqxLMEusTCRMnE0UTYRN+E5wTuhPaE/sUHRRAFGMUhBSiFLwU0RThFOsU8xT5FP8VBxUTFSMVNBVGFVUVXxVgFVcVRBUpFQoU6xTRFMEUvRTFFNkU9BURFSsVOxU/FTUVHxUAFN0UvRSmFJsUnxSyFNIU+RUkFU4VdBWUFa4VxBXYFewWAxYcFjYWUBZlFnQWehZ1FmgWVBY+FigWGRYSFhUWIxY4FlMWbhaGFpkWpRaoFqYWnhaVFowWhhaDFoMWhxaMFpEWlRaVFpEWiRZ9Fm0WWhZHFjMWIRYRFgUV/BX2FfMV8RXwFewV5BXWFcMVqRWJFWYVQBUcFPsU3xTJFLoUsRStFKwUrBSrFKgUohSZFI0UfxRvFF4UTRQ6FCcUExP9E+YTzhO2E54ThxNyEz0TLBMbEwsS+xLpEtYSwRKqEpQSfRJmElESPRIqEhkSCBH5EekR2RHJEbgRpxGXEYgReRFrEV4RUBFDETQRJREUEQIQ7hDZEMQQrhCYEIIQbRBZEEQQLxAaEAUP7w/aD8UPsQ+fD44PgA90D2kPXw9UD0cPOA8lDw0O8A7PDqgOfg5QDiAN7w29DYsNWQ0pDPkMygybDG4MQgwZC/ILzguvC5ULfwtuC2ALVQtJCzsLKQsRCvMKzQqgCm4KOgoGCdUJqgmFCWgJUwlDCTgJLwkmCRsJDwj/CO4I2wjHCLQIoQiOCHoIZQhMCC8IDQfmB7sHjgdfBzEHBQbdBrgGmAZ8BmQGTwY9Bi0GHwYTBgkGAAX5BfEF6QXeBdEFwQWtBZYFfAVhBUUFKQUNBPIE2AS+BKIEhgRpBEsELAQPA/QD3APJA7oDrwOnA6EDnAOXA48DhgN6A20DXQNOAz8DMAMiAxUDCAL6AusC2wLIArMCmwKCAmYCSgItAhAB8wHXAbwBowGMAXgBZQFVAUcBOwEwASYBGwERAQUA+ADqANoAyQC2AKEAiwBzAFkAPgAjAAf/7f/U/73/q/+c/5L/jf+L/4z/kP+V/5n/nf+e/5v/lf+L/3z/af9S/zj/G/77/tr+uP6U/m/+Sf4i/fv91P2v/Yz9bP1Q/Tn9KP0c/RX9Ev0S/RL9E/0T/RH9Df0H/QD8+Pzx/On84vzb/NT8zfzF/Lz8s/yp/J/8lfyL/IL8evxz/Gv8Y/xa/FH8R/w+/DX8Lvwp/Cb8Jvwo/Cr8Lvww/DL8Mfwv/Cz8KPwj/B78GfwV/BH8DPwH/AD7+Pvt++H70/vD+7L7oPuO+3z7aftX+0T7Mvsg+w76/frt+t36z/rC+rf6rfql+p/6mfqV+pL6j/qN+or6h/qD+n/6e/p2+nH6bvpr+mn6afpq+m36cPp0+nj6fPp/+oP6hvqJ+ov6jfqO+o/6j/qO+oz6ifqG+oP6gPp9+nv6efp3+nX6cvpt+mf6YPpY+lD6SvpH+kf6TPpU+l/6bfp6+of6kfqY+pz6n/qf+qD6o/qp+rL6vfrL+tn65vrw+vb6+Pr2+vH66vrj+t763Prd+uP67fr7+wv7Hvsz+0j7Xvt1+4z7pPu9+9b78PwL/Cb8QPxa/HL8h/yY/KT8rPyt/Kj8nfyO/Hv8ZfxP/Dn8JfwT/AT7+Pvt++P72vvS+8r7w/u9+7r7ufu8+8L7y/vW++L77/v7/Ab8Efwa/CP8LPw3/EP8Ufxi/HT8iPyc/LD8w/zV/OX88vz+/Qb9Df0R/RP9FP0T/RH9D/0M/Qn9Bf0A/Pv89fzt/OT82fzO/ML8tvyr/KD8l/yQ/Iv8iPyJ/Iz8lPyf/K/8xPzb/Pf9E/0x/U39Zv17/Yv9l/2f/aX9qf2v/bb9wv3R/eP9+f4R/in+Qf5W/mn+ev6I/pX+oP6r/rX+wP7K/tX+3/7o/vH++f8B/wn/Ef8Z/yP/LP82/0H/Sv9T/1r/Yf9m/2v/cP90/3n/f/+F/4z/kv+Y/57/o/+o/63/s/+7/8b/0//k//cACwAhADcASwBdAGsAdgB+AIMAhgCIAIsAjwCUAJsAowCrALIAuAC7ALsAuQC1AK8AqgClAKMAowCmAKsAsgC6AMEAxwDLAMwAywDHAMMAvwC8ALoAuwC+AMQAzADUANwA5ADqAO4A8QDzAPQA9AD1APgA+wEBAQkBEgEdASoBNwFEAVIBXgFqAXMBfAGCAYcBiwGNAY0BjAGKAYcBgwF9AXcBcQFrAWYBYgFfAV4BYAFjAWkBbgF1AXsBgAGDAYQBgwF/AXoBdAFtAWUBXgFXAVEBSwFHAUMBPwE8ATgBNAEwASsBJgEgARoBEwENAQcBAQD8APcA8gDvAOwA6gDoAOcA5gDlAOQA4wDiAOAA3wDeAN4A3gDeAN8A4ADgAN4A2wDVAMsAvwCvAJ0AiQB1AGIAUQBDADgAMwAxADMAOAA/AEcATwBYAF8AZwBtAHIAdwB7AH4AgQCDAIQAhACDAIEAfgB7AHgAdABxAG0AagBmAGEAXABVAE0ARAA6ADAAJQAbABMADAAGAAH//v/6//b/8f/q/+L/2P/N/8L/t/+u/6b/of+e/57/n/+h/6P/pv+n/6f/pf+i/57/mf+T/43/h/+B/33/ev95/3n/e/9+/4P/if+P/5T/mf+b/5z/mv+W/4//h/9+/3T/av9h/1f/Tv9F/zz/M/8p/x//FP8K/wD++P7x/uz+6f7o/uj+6v7t/vH+9f75/v7/A/8K/xH/G/8m/zL/P/9M/1n/Y/9r/3D/cf9t/2X/Wf9I/zX/H/8I/vD+2f7C/q3+mf6I/nn+a/5e/lP+Sf5A/jn+M/4w/i/+Mf42/j/+S/5a/mv+fv6R/qT+tv7G/tL+2/7e/tv+0v7C/qv+jv5s/kb+Hv31/cz9pf2B/WD9Qv0n/Q789/zi/M38ufyl/JH8ffxo/FT8Pvwo/BH7+vvi+8v7tfug+437e/tq+1n7R/sz+xz7Afrk+sX6pvqI+m36V/pG+jr6NPoy+jL6Mvow+ir6H/oQ+fz55fnM+bL5mfmC+W75XPlO+UL5OPkw+Sj5IfkZ+RL5C/kF+P/4+vj1+PL47/jt+Or45vjf+NX4x/i0+Jv4e/hU+Cf39fe994L3RvcK9s/2mPZn9jv2F/X59eL10vXH9cD1vPW79bv1u/W89bz1vPW79bn1tfWv9aj1nvWS9YT1dfVm9Vn1T/VJ9Un1TfVY9Wf1evWO9aP1t/XI9df14vXq9fH19vX69f/2BfYL9hP2HfYo9jX2RPZW9mz2hPag9sD24vcE9yb3Rfdf93P3gPeD93/3dPdi90z3NPcb9wP27fbb9s32wva79rj2t/a59r32w/bL9tP23fbo9vP2//cM9xr3Kvc890/3Zfd995f3svfO9+r4Bfgf+Df4Tvhj+Hb4ifib+K74wfjV+Or5APkX+S/5SPlh+Xr5lPmv+cr55/oG+ij6Tfp2+qP61fsM+0b7g/vD/AT8R/yK/M39EP1U/Zj93f4j/mf+q/7r/yj/X/+Q/7z/4gAEACMAQQBgAIAAowDHAOsBDgEwAU0BZgF7AYsBmgGnAbUBxgHaAfMCEAIyAlcCgAKsAt0DEgNLA4kDywQTBF0EqQT2BUEFiQXNBg0GSgaEBr0G9gcwB2wHqgfqCCoIaAikCNsJDQk5CV8JgAmbCbMJygnfCfYKDQomCkAKXAp5CpYKsgrMCuQK+AsICxMLGAsXCxELBArzCt0KxgquCpgKhgp7CngKfgqQCqwK0gsACzULbwurC+gMJAxfDJYMzAz+DS4NXQ2JDbQN3g4HDi4OVA55Dp0OwA7hDwAPHg87D1UPbQ+ED5oPsA/HD98P+RAVEDQQVRB3EJoQvRDgEQERIhFCEWERgRGhEcIR5BIHEisSTxJzEpYSuhLcEv4THxNAE2ITgxOlE8cT6RQLFC0UUBRzFJUUtxTYFPYVEhUrFT8VURVgFWwVdxWCFYsVlBWZFZsVlhWKFXYVWRU3FRAU6xTLFLQUqhSuFMAU3BT+FSEVQRVXFWMVYxVZFUgVNBUjFRYVERUVFSAVMhVGFVsVcBWEFZkVrxXKFekWDRY1Fl8WhxaoFr8WyxbJFrwWphaMFnQWYRZXFlgWYxZ2Fo8WqRbAFtIW3RbhFt8W1xbOFsQWvRa3FrQWsxazFrMWsBaqFqEWlBaDFm4WWBZBFikWExYAFfEV5hXfFdsV2hXYFdQVyxW8FaYVhxVhFTcVChTfFLgUmBSBFHMUbBRsFG8UdBR4FHgUdBRsFGAUURQ/FCwUGRQGE/IT3xPLE7YToROLE3YTYhNPEyoTFxMFEvQS4hLQEr0SqhKYEoUSchJgEk8SPRIsEhsSChH4EecR1RHEEbMRoxGUEYUReBFqEVwRThE+ES0RGxEIEPQQ3xDJELMQnRCHEHEQWxBEEC4QFxABD+wP1g/CD68Pnw+PD4IPdg9sD2IPWQ9ND0APLw8bDwIO5A7CDpwOcw5HDhkN6g27DYwNXg0vDQEM0wykDHYMSAwbC/ELyQulC4YLbQtYC0kLPAswCyILEQr7Ct0KtwqMClsKKAn3CcoJpAmICXQJaglnCWgJaQlpCWUJWwlLCTUJGgj+COAIwwinCIwIcQhVCDgIFwfzB80HpAd6B1AHKAcDBuEGwwanBo0GdgZgBksGOAYnBhcGCgX+BfMF6QXeBdAFwQWuBZkFgQVpBVAFOAUhBQsE9QTfBMcErQSRBHMEUwQ0BBYD+wPlA9MDxwO+A7gDswOuA6YDmwOOA30DagNWA0IDLgMcAwsC+wLrAtoCyQK3AqICjAJ1Al0CRAIrAhMB+wHjAcwBtQGfAYoBdQFiAVABQAEyASQBGQENAQMA9wDrANwAzAC4AKIAiABrAEwALAAK/+r/y/+u/5X/gf9w/2X/Xv9c/17/Yv9q/3L/ev+B/4b/iP+F/3z/b/9b/0P/Jv8F/uP+v/6b/nj+VP4x/g/97P3K/an9iv1t/VT9Qf0y/Sj9Iv0g/SD9IP0f/Rz9Fv0O/QP8+Pzs/OD81vzM/MT8vPy0/Kz8o/ya/JD8h/x+/HX8bvxn/GH8WvxT/Ez8RPw8/DT8L/wq/Cj8J/wp/Cv8LPwt/Cz8Kfwj/Bz8FPwL/AL7+fvy++r75Pvc+9T7y/vA+7T7pvuX+4b7dftk+1P7Qfsw+x77DPr7+ur62vrL+r36sPql+pz6lPqO+on6hvqD+oH6gPp/+n36e/p4+nT6cPps+mj6Zvpl+mf6a/py+nv6hfqP+pj6ofqo+q36sPqz+rb6ufq++sT6y/rT+tv64/rq+u768frx+u766Prh+tf6y/q9+q76nvqO+n/6cfpm+l/6XPpd+mL6afpy+nr6gfqF+ob6hfqC+n36efp2+nX6d/p7+oH6hvqL+o76j/qP+o76jPqN+pD6l/qi+rL6xfrb+vL7Cvsh+zf7S/td+2/7gPuR+6T7uPvO++f8Avwe/Dr8Vvxu/IP8kvyZ/Jn8kfyD/G78V/w+/CX8Dvv7++v73/vV+8z7xfu++7b7rvun+6H7nvud+5/7pfut+7f7wvvO+9n75Pvv+/n8BPwR/B/8L/xB/FT8afx+/JP8p/y5/Mn81vzh/Of86/zr/Oj84/zd/Nb8zvzH/MD8ufyz/K38pvyf/Jf8jvyE/Hv8cvxq/GT8YPxe/F78Yfxo/HH8f/yS/Kn8xfzl/Qf9Kv1M/Wv9hP2Y/aX9rP2v/a/9rv2w/bX9v/3P/eT9/P4X/jL+TP5k/nr+jf6e/q3+vP7K/tj+5f7z/v//C/8V/x7/J/8u/zb/Pf9G/1D/Wf9j/2z/dP96/37/gP+B/4H/gP+A/4L/hP+I/47/lP+b/6L/qP+v/7X/vf/F/9D/3v/vAAIAFwAuAEUAWwBvAH8AjQCXAJ4AogClAKcAqgCtALIAuAC/AMYAzADRANQA1ADTAM8AywDGAMMAwADAAMIAxQDKANAA1QDZANwA3QDcANoA2ADWANUA1gDZAN0A5ADrAPQA/AEDAQoBDwETARYBGAEaARwBIAElASwBNAE+AUoBVQFhAWwBdgF/AYYBjAGQAZQBlwGZAZsBnAGcAZoBlwGSAYsBgwF7AXMBbQFqAWoBbQFzAXwBhQGPAZcBnQGgAaABnAGWAY4BhAF7AXMBawFlAWABXAFZAVcBVAFSAVABTQFLAUgBRAFAATwBOAEyAS0BJgEfARkBEgEMAQcBAgD/AP0A+wD6APkA+AD2APQA8QDuAOsA6QDmAOUA5ADiAOAA2wDVAMsAvgCuAJsAhwByAF4ATAA9ADIAKwAoACkALgA0ADwARQBOAFgAYABnAG4AcgB2AHcAdwB1AHIAbQBoAGQAXwBcAFoAWgBbAF0AXwBhAGIAYgBfAFsAVABMAEMAOQAvACYAHgAXABIADQAIAAL/+//y/+j/3P/P/8L/tf+q/6L/nP+Z/5n/m/+f/6P/p/+q/6v/q/+p/6b/of+b/5X/j/+K/4b/hP+E/4b/iv+P/5f/n/+o/7H/uf/A/8b/yf/K/8n/xv/A/7j/r/+k/5n/jf+B/3X/af9d/1H/Rv88/zL/Kv8j/x3/Gv8X/xb/Fv8W/xf/F/8X/xb/Ff8T/xD/Dv8N/w3/D/8S/xj/H/8n/zD/OP8+/0L/Q/9B/zr/MP8k/xT/BP70/uP+1f7H/rv+sf6n/p3+lP6K/oD+d/5t/mb+Yf5e/l/+Yv5p/nL+fP6H/pH+mf6e/qD+nf6V/oj+df5d/kH+Iv4A/d39u/2b/X39Yv1L/Tb9JP0T/QL88fzf/Mz8uPyl/JH8fvxs/Fr8Sfw5/Cf8FvwD+/D73PvJ+7b7ovuP+3v7ZvtQ+zf7HPr/+uL6xvqs+pb6hfp4+nD6a/pn+mP6XPpQ+kD6KvoP+fD5z/mu+Y75cPlW+UD5Lfke+RL5CPkA+Pn49Pjx+O747Pjq+On46Pjm+OP44Pjb+NT4y/jA+LH4oPiK+G/4T/gp9/73zfeY91/3I/bm9qr2b/Y59gf12/W29Zj1gfVx9Wb1YPVe9V71YPVi9WT1ZPVk9WH1XPVV9Uz1QfU09Sf1GvUP9Qf1AvUC9Qb1EPUd9S71QfVU9Wb1dvWD9Yz1kvWV9Zb1lfWV9ZX1lfWY9Z31pPWs9bf1xPXT9eX1+fYQ9ir2RfZh9n32mPav9sP20fba9tz22vbS9sb2t/an9pb2hfZ19mj2XPZT9kz2R/ZF9kT2RfZI9kz2UvZY9mD2afZ09oD2kPai9rf20Pbr9wr3KvdL92v3i/eo98L32fft9/74Dvgd+Cv4OvhJ+Fr4bfiC+Jj4sPjJ+OP4/fkZ+TX5Uvlx+ZL5tvnd+gf6Nfpo+p361vsS+1D7jvvP/BD8UvyX/N39Jf1v/bn+A/5L/o/+zf8F/zf/Yv+J/67/0v/4ACEATAB7AKoA2AEEASoBSQFiAXUBgwGOAZcBoQGtAbwBzgHjAf0CGwI+AmYClQLMAwsDUQOfA/IESASeBPMFRQWRBdkGHQZdBpsG2QcXB1cHlwfYCBcIUwiLCL4I6wkTCTUJUwlvCYkJowm+CdsJ+goaCjsKXQp9CpwKtwrOCuEK7wr4Cv0K/Qr5CvAK5ArUCsIKrgqZCoUKdApnCmEKYwpuCoUKpQrOCv8LNgtxC64L6wwnDGEMmgzQDQUNOA1rDZwNzA36DicOUg56DqAOxQ7nDwcPJQ9CD10Pdg+PD6cPvw/ZD/QQEhAyEFQQeBCdEMEQ5REGESYRRBFgEXwRmBG2EdUR9xIaEj4SYhKGEqkSyxLsEw0TMBNTE3kToRPKE/QUHhRHFG0UkhSzFNMU8hUQFS0VSRVlFYAVmRWvFcMV1BXiFe0V9BX5FfoV9hXsFdwVxhWpFYcVZBVEFSgVFhUQFRcVKhVHFWsVkBW0FdAV5BXuFe4V5hXZFckVuRWrFaAVmBWTFZIVlBWbFakVvRXbFgAWLRZgFpMWwxbsFwkXGBcZFw0W9xbdFsIWrBaeFpkWnxatFsEW1xbsFv0XCRcPFxAXDRcIFwAW+RbyFuwW5hbgFtkW0RbHFroWqhaYFoIWahZPFjQWGBX/FegV1hXIFb8VuRW0Fa4VpBWTFXoVWRUwFQIU0RSiFHkUVxRAFDIULhQwFDYUPhREFEYUQxQ7FC8UIBQPE/4T7BPbE8sTuxOqE5kTiBN1E2ITTxM8ExQTARLuEtwSyxK7EqoSmxKLEnwSbhJfElASQBIwEh8SDRH7EegR1RHDEbERoBGQEYERcRFhEVERPxEtERoRBhDyEN4QyxC3EKQQkBB7EGYQUBA6ECIQCw/0D90PyA+zD6EPkA+AD3IPZg9ZD00PQA8yDyIPEA76DuIOxQ6mDoMOXg44Dg8N5Q27DZANYw02DQcM2AymDHQMQgwQC+ALsguJC2YLSAsxCx4LEAsECvcK6ArVCrwKnQp3Ck0KIgn4CdIJtAmeCZMJkAmVCZ0JpQmrCaoJoQmOCXQJUgksCQMI2gizCI0IawhKCCoICgfqB8kHqAeGB2YHRgcpBw4G9AbcBsQGrQaVBnwGZAZMBjUGIAYMBfsF6wXbBcwFvAWrBZkFhwV0BWEFTwU+BS0FHAUKBPUE3wTEBKcEiARnBEgEKwQRA/0D7QPhA9cDzwPHA70DsQOhA44DeQNiA0wDNQMgAwwC+QLnAtUCwwKwApwChwJxAlsCRQIvAhoCBQHwAdoBxQGvAZkBggFrAVYBQQEuARwBDAD+APEA5QDZAMwAvQCtAJkAhABrAFAAMwAV//j/2//A/6f/kP99/23/YP9X/1D/Tf9N/07/Uv9W/1r/XP9b/1b/TP88/yj/EP70/tf+uv6e/oL+aP5O/jX+Gv3+/eH9w/2l/Yr9cv1e/U/9Rf0//Tz9Of01/S/9Jv0a/Qv8+vzp/Nn8yvy+/LP8qvyi/Jr8kvyK/IH8efxx/Gn8Y/xd/Ff8UPxK/EL8Ovwy/Cr8Ivwd/Bn8FvwV/BX8FPwS/A/8CvwC+/n77/vl+9v70fvJ+8H7ufux+6j7nvuT+4b7ePtq+1r7S/s8+y37H/sQ+wL68/rk+tX6x/q6+q76o/qa+pL6jPqH+oP6f/p8+nn6dvpy+m76afpk+l/6WvpV+lP6UvpV+lv6ZPpw+n76jvqd+qv6t/rA+sf6y/rO+tH61vre+uj69vsF+xb7Jfsy+zr7Pfs7+zL7JfsU+wD67PrW+sL6rvqc+ov6fPpv+mT6W/pU+lD6TvpO+k76TvpN+kr6Rvo/+jj6Mfor+ib6I/oi+iP6Jfon+ir6K/os+i36MPo0+jz6SfpZ+m/6iPqk+sH63vr5+xP7Kfs8+0z7Wvto+3X7hPuV+6n7wPvZ+/X8Evwu/Ej8XPxr/HH8cPxn/Ff8Qvwr/BL7+/vn+9b7yfu++7b7r/uo+6D7mfuS+4z7h/uF+4X7iPuN+5X7nful+677t/vB+8r71fvh++/7/vwP/CH8NPxI/F38cPyC/JP8ofys/LP8tvy2/LL8q/yh/Jf8i/yA/Hb8bPxj/Fv8U/xL/EP8PPw0/C/8Kvwo/Cn8LPwz/D38SfxZ/G38hPyf/L384P0E/Sn9Tv1v/Yv9of2w/bj9u/25/bb9tP21/bv9x/3Y/e7+B/4i/j7+WP5w/ob+m/6u/sD+0/7l/vj/Cf8a/yr/OP9F/1D/Wv9k/27/ef+F/5H/nf+o/7H/uP+8/7z/uv+2/7D/qv+l/6L/of+i/6T/qf+u/7T/u//B/8n/0f/a/+X/8gACABQAKAA9AFIAZwB8AI4AngCrALUAvQDDAMgAywDPANIA1gDbAN8A5ADpAOwA7gDvAO4A6wDoAOQA4ADdANoA2QDaANsA3gDhAOQA5wDpAOsA7QDvAPIA9QD6AP8BBgENARUBHQElASwBMgE3ATsBPgFAAUIBRQFIAUwBUgFZAWIBbAF3AYEBigGSAZkBnwGjAaYBqAGqAawBrAGsAaoBpwGhAZoBkgGJAYIBfQF7AX0BggGKAZUBnwGpAbEBtgG3AbQBrgGmAZ4BlQGNAYcBggF/AXwBegF4AXYBcwFwAW4BbAFqAWkBaQFqAWoBagFpAWYBYgFcAVQBTAFCATkBMQEqASQBHwEcARkBFwEVAREBDgEJAQQA/wD5APMA7gDoAOIA2gDRAMYAuQCqAJgAhwB1AGMAVABGADwANQAwAC8AMAAzADgAPwBHAE8AWABgAGgAbgByAHMAcgBvAGkAYwBcAFUATwBLAEkASQBMAFAAVABZAF4AYQBiAGEAXQBYAFEASAA/ADYALQAlAB4AGAATAA4ACgAF////+P/w/+f/3v/V/8z/xP+9/7n/tv+1/7X/tv+4/7r/u/+9/73/vv+9/73/vP+8/7z/vP+9/7//wv/G/8r/z//U/9n/3//l/+r/7//z//b/9//2//L/7f/l/9v/z//D/7b/qf+d/5L/iP9//3f/b/9o/2H/XP9X/1T/U/9U/1f/W/9g/2T/af9r/2z/av9n/2H/W/9V/0//S/9I/0f/R/9J/0r/Sv9J/0X/P/82/yv/H/8S/wb++v7v/uT+2f7O/sP+tf6n/pj+iP55/mz+Yf5a/lf+V/5a/l7+Y/5m/mb+Y/5b/lD+QP4t/hf+AP3n/c79tf2e/Yj9df1l/Vb9Sv0//TT9Kf0b/Qz8+fzl/M78t/yg/Iv8ePxn/Fn8TPw//DL8JPwV/AT78fve+8v7ufun+5b7hft0+2L7T/s8+yf7E/sA+u/64frU+sr6v/q0+qX6k/p7+l/6PvoZ+fP5zfmo+YX5Z/lM+TX5I/kT+Qf4/fj2+PL48Pjw+PL49fj3+Pj49/j0+O745fja+Mz4vPiq+Jf4gvhq+E/4L/gL9+L3s/d+90X3CfbK9ov2TPYR9dn1p/V89Vj1O/Um9Rj1D/UM9Qz1DvUQ9RL1EvUR9Qz1BvT99PL05vTb9ND0x/TC9L/0wfTG9M/03PTr9Pv1C/Ua9Sj1MvU69T71QPVA9T71O/U49Tb1NfU09Tb1OfU99UP1S/VV9WH1b/V/9ZH1pPW59c714vX29gj2F/Yk9i32NPY39jf2NfYx9iv2JfYd9hb2D/YJ9gP1//X79fn1+PX49fn1+/X/9gP2CfYR9hv2KfY79lD2afaG9qb2yfbs9w/3L/dN92f3ffeP9533qfez97z3xvfS99/37vgA+BT4KvhC+Fv4dviS+K74zPjq+Qr5LPlQ+Xf5ofnP+gD6M/pp+qD62fsT+077jPvM/BD8WPyj/PH9QP2Q/d3+Jf5o/qT+2v8K/zf/Yv+O/7v/6gAcAE4AgACvANkA/gEdATUBSQFYAWUBcAF6AYUBkAGdAawBwAHbAf4CLAJlAqoC+QNSA68EDwRtBMYFGQVjBacF5QYgBloGlQbSBxEHUgeTB9MIEAhJCH0IrAjVCPwJHwlBCWIJhAmmCcoJ7goSCjUKVwp3CpQKrQrCCtIK3grlCugK5wriCtoKzgq+CqwKlwp/CmcKTwo6CisKJQooCjcKUgp5CqoK5AskC2YLqgvtDC0MawymDN8NFw1MDYENtA3lDhQOQQ5rDpMOuA7bDv0PHg89D1sPeA+VD7EPzg/rEAoQKhBMEHAQlBC5EN4RABEhET8RWxF2EZIRrhHNEe8SEhI4El0SghKlEsYS5RMDEyITRBNpE5QTwxP2FCsUYBSSFMAU5xUHFSIVORVOFWIVeBWPFagVwRXaFfIWBhYYFiYWMhY8FkUWTBZTFlYWVhZRFkcWORYnFhQWAxX3FfQV+hYJFiEWPxZeFnsWkhagFqQWnxaQFnwWYxZJFjEWGxYKFf4V+RX8FgYWGRY0FlcWgBasFtgXABchFzgXQxdDFzgXJhcQFvoW6RbeFtoW3xbpFvkXCRcaFycXMRc3FzkXNxczFywXJBcbFxEXBxb8FvIW5xbcFtAWwxazFqAWihZwFlMWMxYTFfYV2xXGFbYVqxWiFZoVjhV8FWIVPxUUFOQUsRR/FFMULxQWFAYUARQCFAcUDRQSFBMUERQKFAAT9BPnE9oTzRPAE7MTphOXE4gTdhNjE1ATOxMnEvMS4xLVEscSuhKuEqISlRKJEnwSbxJhElISQxIzEiESDxH8EekR1hHEEbMRoRGQEX8RbhFbEUgRNBEfEQsQ9xDkENIQwBCuEJwQiBB0EF0QRRAtEBQP+g/iD8sPtQ+gD4wPeQ9nD1YPRA8zDyMPEg8BDu8O3Q7IDrIOmg5/DmEOQQ4eDfoN0w2qDX8NUw0kDPQMwwyQDF0MKwv6C8wLoQt7C1kLPQsmCxQLBQr4CuwK3wrPCrsKoQqECmIKPwocCf0J4gnOCcMJvwnBCccJzgnRCc4JxAmvCZEJawk/CQ8I3givCIIIWgg2CBYH+AfdB8IHqAeOB3UHXAdEBy0HFwcBBusG0wa7BqEGhQZpBk0GMgYXBf8F6AXSBb8FrQWbBYoFegVrBVwFTwVCBTUFKAUbBQsE+QTlBM0EsgSWBHoEXgRDBCwEGAQGA/cD6gPcA84DvgOsA5gDggNsA1UDPwMqAxcDBALzAuIC0AK+AqoClgKAAmoCUwI8AiUCDgH4AeEBywG0AZ0BhgFvAVkBQgEtARkBBgD0AOMA1ADFALcAqgCbAIwAfABrAFgARAAvABkAAv/r/9T/vf+o/5L/fv9s/1z/Tf9C/zj/Mv8u/yv/KP8k/x7/Ff8J/vn+5v7S/r7+qv6X/ob+d/5n/lf+Rf4w/hf9/P3f/cL9pv2N/Xn9af1d/VT9TP1F/Tv9MP0h/RD8/fzq/Nj8yPy5/K38o/yZ/JD8hvx9/HP8afxg/Fj8UfxK/EX8P/w5/DL8Kvwh/Bj8D/wI/AH7/Pv4+/X78vvu++n74/vb+9L7yPu++7T7q/uj+5z7lPuM+4P7eftu+2H7U/tG+zj7Kvse+xL7B/r7+vD65fra+s/6xPq5+rD6p/qg+pr6lfqR+oz6hvqA+nn6cfpp+l/6V/pO+kf6Qvo/+j/6QvpH+lD6XPpp+nj6hvqT+p/6p/qs+q/6sPqx+rP6uPrC+s/64fr2+wz7IPsv+zn7O/s1+yf7FPr9+uX6zfq4+qf6mPqN+oL6efpw+mX6WvpN+kH6Nfoq+iD6F/oO+gX5+/nw+eb52/nR+cr5xfnC+cP5xvnL+dL52Pne+eT56/ny+fz6Cfoa+i/6SPpl+oP6ovrB+t76+PsP+yP7M/tC+0/7XPtp+3j7ivud+7P7y/vi+/n8Dfwc/Cb8Kfwm/B78EfwA++/73vvO+8D7tfur+6L7mvuR+4n7gPt4+3L7bftr+2z7b/t0+3r7gfuI+4/7lvud+6X7rvu4+8P70fvg+/D8AvwU/Cb8OPxJ/Fn8Z/xy/Hr8fvx9/Hn8cfxm/Fj8Svw7/C38H/wS/AX7+vvv++b73vvZ+9f72fvf++r7+vwP/Cf8Q/xj/IT8qPzO/PX9HP1C/WX9hP2e/bL9v/3F/cb9w/2+/bv9uv2+/cf91v3p/gD+GP4x/kn+Yf52/ov+oP60/sn+3/70/wr/H/8z/0X/Vf9k/3P/gf+P/53/rf+8/8v/2f/k/+3/8v/z//D/7P/l/97/1//R/83/y//L/83/0P/U/9n/3v/k/+v/8//7AAYAEQAfAC4APgBOAGAAcQCCAJMAowCyAL8AzADWAN8A5wDtAPIA9gD5APwA/wECAQQBBgEIAQkBCQEJAQcBBQECAP8A/AD5APgA9wD3APgA+gD+AQEBBgELAREBFwEdASQBLAEzATsBQgFKAVEBVwFcAWABYgFkAWQBZQFlAWcBawFwAXgBggGOAZoBpgGyAbwBxQHMAdEB1QHXAdkB2QHYAdUB0AHJAcEBuQGwAakBpQGkAaYBrAG0Ab0BxgHNAdAB0AHNAcYBvgG1Aa0BpgGiAaEBoQGjAaUBpgGnAaYBpAGhAZ4BnAGbAZoBmwGeAaABogGjAaMBoAGaAZIBiQF9AXEBZgFaAVEBSQFCAT0BOAE0ATABKwEmAR8BFwEPAQYA/ADyAOgA3gDSAMYAuQCqAJsAjAB9AG8AYQBWAEwAQwA9ADgANgA1ADYAOQA/AEUATQBWAF4AZQBrAG4AbgBsAGcAYQBaAFMATQBIAEUARABFAEgATABQAFUAWgBeAGAAYABfAFsAVABMAEMAOQAvACcAIQAcABsAGwAeACEAJAAmACcAJgAjAB4AGAARAAoABP////v/+f/4//n//P//AAIABgAJAA0ADwASABQAFgAXABgAGAAYABgAFwAXABcAGAAaAB0AIQAmACsALwAyADMAMQAsACQAGQAOAAH/9v/r/+L/2//V/9D/y//G/8L/vv+7/7v/vv/E/8//3v/vAAIAFQAmADQAPgBCAEEAPAAyACUAFwAI//r/7f/h/9f/zP/C/7j/rf+h/5X/h/96/2z/Xv9P/z//Lf8Z/wL+6f7N/rH+lP56/mP+Uf5F/j/+Pf4+/kD+Qv5A/jn+Lf4c/gb97f3S/bj9n/2K/Xj9av1g/Vr9Vv1U/VP9Uf1O/Un9QP0z/SL9Dfz1/Nv8wfyo/JH8fvxt/F/8VPxI/Dz8L/wh/BH8APvv++D71PvK+8P7vvu7+7f7sfuq+6H7lfuH+3j7aPtY+0b7Mfsb+wD64vq/+pn6cPpG+hz58/nN+ar5ivlv+Vb5Qfkv+SD5FPkL+Qb5BPkF+Qf5CvkL+Qr5Bfj8+O/43vjL+LX4n/iK+HT4XvhI+C/4E/fy98v3nvdr9zL29Paz9nH2MPXx9bf1gfVS9Sv1C/Tz9OH01vTP9Mz0y/TL9Mr0x/TC9Lv0svSn9Jv0kPSG9H/0evR59Hz0g/SN9Jn0p/S19ML0zvTY9N/04/Tl9OX04/Tg9N302fTW9NP00fTP9M/0z/TQ9NL01vTb9OH06fTy9P31CfUW9ST1NPVE9VT1ZPV19YX1lPWi9a71ufXC9cj1zvXR9dP10/XT9dP10vXR9dH10PXQ9dH10fXT9dT11/Xb9eH16vX39gn2H/Y69lr2fvaj9sn27vcQ9y73RvdZ92f3cPd393z3gPeF94z3lvei97H3w/fX9+34Bfge+Dj4Uvht+Ir4qPjH+Or5D/k3+WP5kfnB+fT6KPpe+pb60PsN+0/7lfvh/DH8hfza/S79f/3L/hD+T/6I/rz+7f8d/07/f/+y/+YAGQBLAHoApADKAOsBBwEeATEBPwFJAU8BUwFWAVwBZwF8AZ4B0AITAmYCxwMxA58ECwRxBMsFGQVaBZEFwAXsBhgGRwZ7BrMG7wcuB20HqgfkCBwIUAiDCLMI4gkRCT4JagmVCb0J4woGCicKRgpjCn4KlgqsCr8KzQrWCtoK2ArRCsQKswqcCoIKZApDCiEKAAniCcsJvQm7CcYJ4goMCkMKhgrPCx0LbAu4DAEMRQyFDMAM+A0uDWINlA3EDfMOIA5LDnUOnA7CDucPDA8wD1MPdQ+WD7YP1g/1EBUQNRBXEHkQnRDBEOQRBhEmEUURYRF+EZsRuhHcEgISKRJTEnwSpBLJEuoTCBMlE0MTZROME7sT8BQrFGkUphTfFRAVNxVUFWcVdBV9FYYVkxWkFbkV0xXvFgoWIhY3FkgWVxZkFnIWgxaYFrAWyRbhFvYXBhcPFxEXDxcJFwQXARcDFwoXFRciFy8XNxc5FzMXJRcQFvUW2Ra9FqUWkRaFFn8WgBaIFpUWpxa9FtYW8BcKFyIXNRdDF0sXTBdGFz0XMBckFxoXFBcTFxcXIBcrFzgXRBdOF1UXWRdZF1cXUhdMF0MXORctFyAXExcGFvkW7hbkFtwW0xbIFroWqBaRFnQWVBYxFg8V8BXWFcEVshWmFZwVjxV8FWIVPxUUFOMUrxR9FE8UKRQME/kT7xPrE+sT7RPtE+wT6BPhE9kTzxPGE7sTsROmE5oTjBN8E2oTVxNCEy0TGBMFEtsS0RLIEsASuBKuEqQSmRKMEn8ScRJiElMSQhIxEh8SDBH5EeYR0xHAEa4RnBGLEXkRZxFTEUARLBEYEQUQ8hDgEM4QuxCoEJIQexBiEEYQKhAND/EP1w++D6gPkw9/D2wPWQ9GDzMPIA8NDvoO6A7XDsYOtQ6jDpAOeg5gDkMOIw3/DdgNrQ2BDVINIgzxDMEMkQxjDDcMDwvqC8gLqguQC3kLZAtSC0ALMAsgCxALAAruCtsKxQqtCpIKdgpZCj0KIwoNCfwJ8AnoCeQJ4AnbCdEJwgmqCYoJYgk1CQMI0QihCHQITAgqCA0H9AfeB8oHtgegB4oHcwdbB0MHKwcTBvwG5AbMBrMGmQZ+BmIGRQYnBgoF7gXTBboFowWNBXoFaAVXBUgFOgUtBSIFFwUOBQME+ATsBN0EywS4BKIEigRyBFoEQgQsBBcEAwPvA9wDyQO1A58DiQNzA10DRwMzAyEDEQMCAvQC5gLXAscCtQKgAokCcQJXAjwCIAIGAesB0gG7AaQBjgF5AWUBUQE9ASkBFQEBAO0A2ADFALIAoACQAIAAcgBkAFYARwA4ACgAFgAD/+//2f/C/6r/k/97/2X/UP89/y3/H/8T/wn/AP74/u7+5P7X/sn+uf6o/pj+iv59/nP+a/5j/lz+Uv5F/jT+H/4H/ez90f22/Z79if14/Wn9XP1Q/UT9Nv0n/Rf9Bvz1/OX81vzI/Lv8rvyi/JT8hvx3/Gj8WfxL/D/8Nfwu/Cf8Ivwd/Bf8EfwJ/AH7+fvw++j74fvb+9b70fvL+8X7vvu3+677pfuc+5P7i/uE+3z7dftt+2T7WvtO+0L7Nfso+xz7EPsF+vv68vrq+uL62/rT+sr6wvq6+rP6rPqn+qL6nfqX+pH6ifp/+nP6ZvpY+kv6Pvo1+i76LPot+jL6OvpE+lD6XPpn+nH6ePp8+n36e/p3+nH6a/pm+mX6afpy+oH6lfqt+sX63Pru+vn6/Pr2+ur62PrD+q/6nvqS+ov6iPqH+oj6h/qD+nv6b/pf+kz6OPol+hP6Avnz+eT51PnE+bL5oPmO+X75c/lr+Wr5bvl3+YP5kfmg+a/5vfnK+db55Pnz+gX6Gfow+kr6ZvqB+p36tvrO+uP69vsG+xX7Ivsv+zz7SftY+2f7d/uG+5b7pPuv+7j7vfu++737ufu0+6/7qvum+6L7nvua+5T7jPuD+3j7bfti+1r7VPtS+1P7V/te+2b7bvt1+3z7gvuI+477lvuf+6r7t/vG+9b75/v4/An8Gfwn/DT8PvxF/En8SPxE/Dv8L/wg/A/7/Pvp+9b7w/ux+6D7kPuB+3X7bftp+2v7dPuE+5v7uvvf/Ar8Ovxt/KH81f0H/Tf9Yv2I/af9v/3O/db91/3T/cz9xf3A/b/9wv3M/dr97P4B/hj+Lv5D/lb+af57/o3+oP61/sr+4f74/w7/JP83/0r/XP9t/37/j/+i/7T/x//Y/+f/9P/8AAEAAgAA//v/9v/w/+z/6P/n/+f/6f/t//H/9f/6//8ABQAKABAAFwAfACgAMgA+AEoAVgBjAHEAfgCMAJoAqAC3AMYA1ADjAPAA/AEHAQ8BFgEbAR4BIAEhASIBIgEjASMBJAElASUBJQElASQBIwEiASABHwEeAR4BHwEgASMBJwErATEBNwE+AUUBTAFTAVoBYQFnAW0BcwF4AXwBfwGAAYEBgQGCAYQBhwGNAZYBogGwAcAB0AHgAe8B+wIFAgwCEgIWAhcCGAIWAhMCDgIIAgAB9wHvAegB4wHiAeMB5gHsAfEB9QH2AfQB7wHmAdsB0AHGAb0BuQG3AbkBvQHCAcgBzQHRAdMB1AHTAdEB0AHPAc4BzwHQAdEB0QHRAdABzQHHAcABtwGsAaABkwGGAXoBbgFlAVwBVQFPAUkBQwE8ATQBLAEiARgBDAEBAPYA6gDeANEAxAC2AKgAmgCLAH4AcQBkAFoAUABIAEEAOwA3ADYANgA4ADwAQQBIAE8AVgBcAGAAYwBjAGIAYABcAFgAVQBRAE4ASwBKAEoASgBMAFAAVABYAFwAYABhAGAAXABWAE0AQwA5ADEALAAqACwAMgA8AEgAVQBjAG8AegCBAIYAiACIAIYAgwB/AHwAegB4AHcAdwB3AHgAeAB5AHkAeQB4AHcAdgB0AHMAcABuAGsAaABlAGIAYQBhAGMAZwBsAHIAeAB8AH8AfgB7AHQAawBgAFUASwBDAD4AOgA5ADkAOgA8AD0AQABEAEsAVgBmAHsAlACyANEA8QEPASkBPgFMAVIBUwFNAUIBNAEiARAA/QDpANYAwgCwAJ0AiwB5AGcAVQBEADIAHwAJ//H/1P+z/47/Y/81/wX+1f6p/oH+Yf5J/jj+Lv4p/ib+I/4c/hH+AP3q/dD9tf2a/YL9bv1f/Vf9U/1U/Vj9Xv1k/Wn9bP1s/Wj9YP1U/UP9Lv0X/P384/zK/LP8nvyM/H38cPxj/Ff8Sfw7/C38H/wU/A38CvwM/BL8G/wm/DD8N/w7/Dr8M/wo/Bj8BPvt+9P7t/uX+3T7Tvsl+vr6zfqg+nT6Sfoh+fz52fm5+Zv5f/ll+U35Ofko+Rv5EfkL+Qb5Avj9+Pb46vjb+Mj4sfiZ+IH4avhU+EH4Lvgc+Aj38ffU97H3hvdU9xz23fac9ln2FvXW9Zr1ZPU09Qv06fTP9Lr0q/Sh9Jn0k/SN9If0gPR39G30YfRV9En0P/Q29DH0L/Qy9Dj0QfRN9Fr0Z/Rz9H70hvSL9Iz0i/SH9IL0fPR29HH0bPRp9Gb0ZPRj9GP0Y/Rj9GT0ZvRo9Gz0cPR19Hz0g/SM9JX0ofSu9L30zvTh9Pb1C/Uh9Tb1SvVc9Wz1evWF9Y71lfWa9Z71oPWi9aT1pfWn9aj1qfWq9ar1qvWq9av1rvW09b/1z/Xn9gT2KfZS9n72q/bX9v73H/c590v3V/dd9173Xvdd9133X/dk9233eveJ95v3rvfE99r38PgH+B/4N/hR+G34jPiu+NP4/Pkn+Vb5h/m7+fL6K/po+qr68fs9+4374fw3/Iz83v0t/XX9t/30/iz+Yf6V/sn+/v80/2v/ov/XAAwAPQBqAJQAuQDYAPEBAwENARABDQEIAQQBCAEYAToBcwHCAiYCmwMbA5wEGQSIBOcFMgVsBZcFuAXVBfMGFQY9BmwGnwbWBw8HRwd/B7gH8AgrCGcIpAjhCR0JVQmICbQJ2wn8ChkKNApOCmkKgwqdCrQKxQrPCtAKyAq2CpwKegpUCioJ/wnVCawJiAlqCVQJSQlMCV4JfwmxCfAKOwqNCuMLOguNC9sMIwxlDKIM2g0QDUMNdQ2mDdUOAw4wDlsOhQ6uDtYO/Q8kD0oPbw+RD7MP0g/xEA8QLhBPEHEQlRC6EN8RBBEnEUgRaBGHEaYRxxHrEhMSPRJpEpYSwhLqEw8TMRNRE3ETlRO+E+4UJRRhFKAU3RUTFUAVYBV0FX0VgBV/FYEVihWbFbUV1hX8FiIWRRZiFngWiBaVFqIWsxbKFugXDRc2F18XhhemF74XzBfRF88XyRfBF7gXsBenF54XkReAF2sXURc1FxgW/RbnFtcWzxbPFtYW4hbyFwQXFhcmFzUXQRdKF08XURdQF0sXRBc8FzQXLhcsFy0XMxc9F0oXWBdlF3EXeBd8F30XeRd0F2wXZBdaF1AXRRc4FysXHRcPFwIW9hbtFuUW3RbVFsoWuxanFo0WbxZNFisWCxXvFdcVxBW0FaYVlRWAFWQVQBUWFOcUtRSFFFkUNBQXFAIT9RPsE+cT4xPfE9oT0hPKE8ATthOrE6ATlROIE3kTaBNVE0ETLRMZEwYS9RLnEt4S1xLQEsgSvhKyEqQSlhKHEngSaRJaEksSOxIpEhcSAxHvEdoRxRGwEZwRiBF2EWMRURE/ES0RGxEIEPYQ5BDQELwQphCOEHMQVhA3EBYP9g/XD7sPog+MD3oPag9bD00PPw8wDyAPDw7/Du8O4A7RDsIOsg6gDosOcg5UDjEOCQ3dDa4NfA1JDRYM5Qy1DIkMYAw9DB8MBgvyC+IL1AvJC70LrwufC4wLdwtgC0cLLgsVCv0K5grPCrgKoAqICm8KVgo9CicKEgn/Ce8J4AnRCb8JqgmPCW8JSAkdCPAIwQiVCGwISQgsCBQIAQfwB+EH0Ae9B6YHjQdyB1YHOgcfBwUG7QbXBsIGrAaVBn0GYwZIBisGDQXwBdMFuAWfBYcFcQVcBUkFNwUnBRkFDQUCBPoE8gTrBOME2ATLBLsEqASSBHoEYQRJBDIEHAQHA/MD4APMA7cDoQOKA3MDXANHAzQDIwMVAwgC/QLyAuUC1wLFArAClwJ8Al8CQQIjAgYB6gHRAboBpQGSAYEBcAFfAU4BOwEnAREA+QDhAMgAsACZAIQAcgBhAFIARAA2ACgAGAAG//P/3v/H/6//l/+A/2n/U/8//y3/Hf8O/wH+9f7o/tz+zv6+/q3+m/6I/nb+Zf5Y/k3+Rv5B/j7+Ov42/i7+I/4U/gH97P3V/b79p/2T/YD9b/1g/VH9Q/00/Sb9F/0J/Pr87fzf/NH8wvyy/KH8jvx5/GT8UPw8/Cv8G/wP/AX7/vv3+/H76/vk+9371fvM+8T7vPu0+637p/uh+5r7lPuO+4f7gPt5+3H7avti+1r7UvtK+0H7OPsu+yP7GPsN+wH69/rt+uT63PrV+s/6yfrC+rz6tPqs+qX6nfqX+pD6ivqE+nz6c/po+lv6TPo8+i36IfoZ+hX6F/oe+ir6OPpH+lb6Yvpq+m36a/pk+lj6Svo6+ir6G/oR+gv6DPoT+iH6NfpM+mX6ffqQ+p36o/qi+pv6kPqE+nr6dfp0+nn6gfqK+pL6lvqU+ov6fPpo+lL6O/on+hX6Bvn5+ez53vnL+bX5nPmA+WX5Tvk9+TT5NPk8+Uz5Yfl4+Y/5pfm4+cj51/nk+fH5/voN+h76L/pB+lP6Zfp2+oX6lPqi+rD6vfrK+tf65Prx+v77C/sX+yH7K/sz+zn7PvtD+0b7SvtQ+1b7Xvtn+3D7ePt9+3/7fPt1+2v7XvtS+0f7QPs9+z77RPtM+1b7YPtp+3H7d/t8+4L7ifuS+537q/u7+8374Pvx/AL8EPwb/CL8Jfwk/B78FfwH+/b74vvM+7X7nfuF+237Vfs++yn7FPsD+vT66vrn+uz6+fsQ+zL7XfuR+838D/xU/Jr83/0g/Vr9jP21/dL94/3r/er94/3Y/c79xv3D/cb9z/3f/fL+B/4c/jH+Q/5T/mL+cP5//pD+ov62/sv+4f73/wv/Hv8w/0H/U/9l/3n/jv+j/7n/zv/g/+7/+P/+/////f/5//T/8P/t/+z/7f/w//b//AADAAsAEgAZACAAJgAsADMAOQBAAEgAUQBbAGYAcgB+AIsAmACmALMAwQDPAN0A7AD7AQkBFwEkAS8BOQFAAUUBRwFIAUYBRAFBAT4BPAE6ATkBOQE5ATsBPQE/AUEBQwFFAUcBSAFKAUsBTgFRAVQBWAFdAWIBZwFsAXIBdwF9AYMBiQGOAZMBlwGbAZ0BoAGiAaYBrAG0Ab4BzAHcAe0B/gIOAh0CKgI0AjwCQQJGAkkCSwJNAk0CTAJIAkQCPQI2AjACKgImAiQCJAIkAiQCIwIfAhgCDgICAfUB6AHdAdQBzwHNAc4B0gHWAdsB4AHkAecB6gHrAe0B7gHvAfAB8QHxAfIB8QHxAe8B7QHqAeYB3wHXAc0BwQG0AacBmQGMAYABdgFsAWQBXAFTAUsBQQE3ASsBIAEUAQgA/ADwAOQA1wDKALwArQCfAJEAgwB2AGoAXwBWAE4ARwBCAD4AOwA6ADsAPQBAAEQASABMAFAAVABYAFsAXQBfAGEAYQBhAF8AXABZAFYAUwBRAFEAUgBVAFgAXABeAF4AXABYAFEASgBDAD8APQBAAEkAVgBnAHsAkQCnAL0A0gDkAPQBAQELARMBGAEbARwBGwEYARUBEAEKAQQA/QD1AO4A5gDeANcA0ADJAMMAvgC5ALYAsgCwAK8ArwCxALQAuAC9AMMAyADMAM4AzQDKAMUAvgC3ALAAqwCoAKcAqgCuALQAuwDDAMwA1gDjAPMBBwEgAT0BXgGBAaQBxwHmAgECFwInAjICNwI4AjUCLgIkAhgCCQH3AeMBzQG2AZ0BhAFsAVQBPQEmAQ8A9wDcAL4AmwBxAEEADP/Q/5H/Uv8T/tr+p/59/lv+Qv4v/iH+FP4H/ff95f3Q/br9pP2R/YL9d/1z/XP9d/1+/YX9jP2S/ZX9lv2T/Y79hv16/Wv9WP1D/Sz9E/z7/OT8z/y8/Kv8nPyO/IH8dPxn/Fv8UfxL/En8TfxW/GT8dfyH/Jj8pvyu/LD8q/yf/I78efxf/EP8JfwE++D7u/uT+2r7QPsU+ur6v/qW+m36Rvof+fj50vmt+Yn5aPlJ+S75F/kD+PL44vjT+ML4sPic+IX4bvhX+ED4LPgb+Az3//fx9+H3zve095P3avc69wL2xPaC9j71+/W69X31RfUT9Oj0xfSn9JD0fvRw9GT0W/RR9Ej0PvQz9Cf0GvQO9ALz+PPx8+zz6/Pu8/Tz/PQH9BP0H/Qp9DH0N/Q49Db0MPQo9B/0FvQN9AXz//P88/rz+vP78/zz/vQA9AP0BfQI9Av0DvQR9Bb0G/Qh9Cn0M/Q/9E70X/R09Iv0pPS99Nf08PUH9Rz1LvU99Uj1UPVW9Vr1XPVe9WD1YfVj9Wb1afVs9W31bvVt9Wv1afVp9Wz1dvWG9aD1w/Xt9h72U/aH9rj24/cG9x/3Lvc19zX3Mfcs9yf3Jfcm9yv3NfdC91L3Zfd59473o/e598334vf3+A74JvhB+F/4gvio+NL5Afkz+Wj5ovnf+iD6Zvqv+vz7S/uc++v8OPyC/Mf9CP1F/X/9uP3w/in+Y/6d/tj/Ev9K/4H/tf/nABYAQQBnAIcAnwCtALIArwCmAJ8AngCrAM0BCQFfAc8CUwLiA3QD/wR6BOAFLwVpBZIFsAXIBeEF/wYiBkoGdwamBtYHCAc6B3AHqgfqCC8IeAjCCQoJTAmFCbMJ2An0CgwKIgo6ClUKcgqPCqkKvArDCr0KqAqGClgKIgnqCbIJfwlSCS4JFAkDCP0JAwkUCTMJXgmWCdkKJQp3CswLIAtyC74MBQxHDIUMvwz3DS0NYw2XDcoN/A4sDloOhg6wDtoPAg8oD04PcQ+SD7IP0A/sEAoQKBBJEG0QlBC9EOcRERE5EV8RghGjEcQR5BIHEiwSVRKAEq0S2hMFEy4TVRN5E54TxBPuFB0UUhSKFMMU+BUmFUkVXxVoFWgVYhVcFVsVZRV8FaAVzxYDFjkWahaTFrEWxRbSFtsW5hb2Fw8XMBdYF4QXsBfXF/YYChgUGBMYCxf8F+oX1Re+F6YXjRdyF1YXORcdFwQW7xbiFtsW3BbjFu8W/hcOFx4XLBc4F0EXSBdMF04XTRdLF0gXRBdAFz0XPRdBF0oXVhdlF3UXhReTF5wXoRegF5sXkxeKF38XdRdrF2EXVxdMFz8XMRcjFxQXBhb5Fu4W5BbaFs8WwhaxFpsWghZmFkgWKhYOFfQV3BXGFa8VlhV5FVgVMhUHFNsUrhSDFF0UPhQkFBEUBBP6E/IT6hPiE9kTzhPCE7UTpxOZE4oTexNqE1kTRxM1EyMTEhMDEvcS7RLlEvYS7BLgEtASvxKrEpcShBJyEmMSVRJJEjwSLxIgEg4R+RHiEcoRsRGZEYIRbRFZEUYRNREjEREQ/hDpENQQvRCkEIoQbhBREDIQEg/xD9IPtA+aD4MPcA9iD1cPTw9JD0IPOw80DysPIA8VDwkO+w7rDtkOww6pDooOZQ47DgwN2g2lDXANPA0KDNoMsAyKDGoMTww6DCsMIAwZDBUMEQwLDAML9gvkC80LsQuRC3ALTgstCw4K8grYCr8KqAqQCngKXwpFCisKEQn5CeIJzQm4CaIJiglwCVIJMAkKCOIIugiTCG8IUAg2CCEIDwf/B+8H3gfKB7IHmAd7B10HQAclBw0G9wblBtUGxQa0BqIGjQZ2Bl0GQgYmBgsF8AXWBb4FpQWOBXcFYAVKBTYFJAUUBQcE+wTxBOcE3ATOBL0EqQSTBHwEZAROBDsEKgQcBBAEBAP3A+gD1gPBA6oDkgN5A2MDTwM+Ay8DIwMXAwsC/QLsAtgCwAKmAokCagJLAiwCDgHyAdgBwQGsAZsBigF8AW0BXgFNATkBIwEKAO8A0wC3AJ0AhABvAFwASwA8AC0AHgAN//r/5P/O/7b/nv+H/3H/Xf9K/zr/K/8e/xH/BP73/un+2f7H/rP+nP6E/mz+Vf5A/i7+If4X/hH+Dv4N/gr+Bv3//fX96P3X/cb9s/2h/ZD9gP1x/WP9Vv1J/Tv9LP0e/Q78/vzu/N38zPy5/Kb8kfx7/GX8Tfw2/CD8C/v4++f72PvL+8D7tfus+6P7mvuR+4j7gPt4+3D7avtl+2H7Xvtb+1j7VPtQ+0r7Q/s8+zT7K/sj+xv7FPsM+wT6+/ry+un63/rW+s36xvq++rj6sfqq+qL6mfqP+oX6evpx+mn6Yvpc+lb6UPpI+j76M/om+hr6EPoK+gn6DfoY+if6OPpK+ln6Y/pn+mP6WfpI+jL6Gfn/+eb50fnA+bb5tPm4+cT51vnr+gL6GPor+jr6Q/pG+kX6Qvo/+j76QvpK+lX6Y/pw+nn6e/p2+mn6VvpA+in6FfoH+f/5/Pn8+fz5+fnv+d75xvmn+Yb5Z/lN+Tv5Nfk5+Uf5Xfl3+ZL5q/nB+dL53/no+e/59Pn5+f76A/oI+g76FPoa+iD6J/ov+jj6Q/pO+lv6aPp1+oP6kPqd+qj6s/q7+sP6yfrO+tT62/rk+u/6/vsO+yD7MPs/+0n7TvtO+0j7QPs2+y37J/sl+yn7MPs7+0f7VPtf+2j7cPt1+3v7gfuJ+5X7ovuz+8b72Pvr+/r8B/wP/BH8D/wH+/n76PvS+7n7nfuA+2L7RPsm+wj67PrQ+rb6nvqJ+nj6bfpq+nD6gPqc+sP69vs0+3v7yfwc/HH8xP0T/Vn9lP3C/eH98/35/fX96/3f/dT9zv3O/db94/31/gr+H/4y/kP+Uf5d/mj+dP6C/pL+pf65/s/+5P73/wn/Gf8p/zn/Sv9e/3X/jv+n/8H/2P/t//wACAAPABIAEwASABEAEAARABEAEwAWABkAHgAjACkAMQA5AEIASwBUAFsAYgBoAG4AdQB9AIYAkgCfAK4AvgDPAN8A7gD9AQoBFgEiAS0BOAFDAU4BVwFfAWUBaQFqAWgBZQFfAVkBUgFMAUcBRAFDAUUBSQFOAVUBXAFjAWkBbgFzAXYBeAF6AXwBfwGBAYQBhwGLAY8BlAGZAZ8BpQGrAbEBtgG7Ab8BwwHHAcsB0gHbAeYB9AIDAhMCIwIxAj4CSQJRAlgCXQJjAmkCbwJ2AnwCgQKFAoUChAKAAnoCdAJuAmgCYgJdAlcCUAJIAj0CMQIkAhcCCgIAAfcB8QHtAesB6QHoAegB6AHoAekB6wHuAfIB9wH8AgECBgIJAgwCDgIQAhICFAIVAhYCFAIRAgoCAAHzAeQB0wHDAbMBpQGZAY0BgwF5AW4BYwFWAUkBOwEtAR8BEQEEAPcA6gDdANAAwQCzAKUAlwCKAH4AcwBqAGIAWwBVAFAATABJAEYARABDAEMAQwBEAEcASgBPAFUAWwBiAGcAbABuAG8AbQBpAGMAXgBaAFcAVgBXAFkAWwBdAF4AXQBaAFYAUwBRAFMAWQBkAHQAiQChALwA2ADzAQ8BKQFBAVgBbAF/AY4BmgGiAaYBpgGjAZwBkwGIAXwBcAFkAVcBTAFAATQBKQEeARUBDgEIAQUBAwEEAQcBCwEPARUBGgEeASIBJAEmASYBJAEiASABHwEfASABJAEpATEBOgFDAU0BWAFjAW8BfgGPAaUBvwHcAf0CHwJAAl8CegKRAqICrwK4Ar4CwwLGAskCygLKAsYCvwKzAqICjQJzAlcCOQIaAfwB3gHBAaUBiQFsAUwBKQEAANIAnQBiACL/3/+b/1n/G/7j/rL+if5n/kv+M/4d/gn99v3k/dX9yP2//bv9u/3A/cb9zv3V/dr93P3b/db9z/3H/bz9sf2j/ZT9gv1u/Vj9QP0o/RH8+/zo/Nf8yfy8/LD8pfya/I/8hvyA/H38f/yG/JL8oPyw/L78yfzQ/ND8y/y//K/8m/yE/Gz8U/w5/B78Avvk+8T7ovt++1n7MfsI+t76s/qG+ln6K/n9+dD5pfl7+VT5MPkP+PD41Pi5+J74hPhq+FH4OPgi+A33+/fs99/30/fH97j3pfeL92v3Q/cT9tz2n/Zd9hr11vWT9VT1GvTm9Lj0kvRz9Fr0RvQ39Cv0IfQX9A70A/P48+zz4PPU88nzv/O387LzsPOw87PzufPB88nz0vPZ89/z4fPg89zz1PPK877zsvOn857zmPOU85TzlvOZ853zofOl86nzrPOw87PztvO6877zw/PJ89Hz2/Pn8/f0CvQg9Dn0VPRx9I70qvTF9N308fUB9Q31FfUZ9Rv1GvUY9Rf1F/UY9Rr1HvUj9Sf1KfUp9Sj1JPUh9SD1I/Uu9UH1X/WH9bf17PYj9lj2hvas9sj22vbh9uL23fbW9tD2zfbN9tL23Pbq9vv3D/ck9zr3UPdm93r3jvei97b3y/fi9/z4Gvg9+GT4kPjA+PT5LPlo+ab56Pos+nH6uPr/+0b7i/vO/A78TfyL/Mj9Bv1F/YX9xP4D/kD+ev6w/uT/FP9D/3H/nv/J//EAEwAsADwAQgBBAD4APwBLAGwApQD6AWoB7wKCAxkDqQQqBJcE7QUuBV0FgQWfBb4F4AYGBjAGXQaKBrcG5QcVB0oHhgfKCBcIaQi8CQwJUwmNCbkJ1wnsCfsKCQobCjMKUApvCosKngqkCpgKegpMChEJ0QmQCVUJJQkCCO0I5gjrCPsJFQk3CWIJlAnOCg4KVAqdCugLMwt7C8AMAgxBDH0MuAzyDSwNZg2eDdYODA4/DnAOng7JDvMPHA9CD2cPiQ+qD8kP5hADECAQPxBhEIYQrxDbEQgRNRFhEYkRrhHQEfASDhItEk4ScRKYEsIS7BMYE0ITaxOTE7sT5BQPFD8UcRSlFNgVBhUtFUgVWBVbFVYVTRVEFUMVThVnFY8VwxX+FjsWcxaiFsYW3RbsFvQW/BcHFxkXMhdSF3YXmhe6F9MX4hfoF+QX2BfIF7QXnheIF3IXXBdGFzEXHBcJFvoW7hbnFuUW5hbqFvAW9hb8FwEXBhcMFxQXHBcmFzIXPRdIF1EXWBdeF2MXaRdwF3oXhheVF6QXsRe8F8IXwxe/F7cXrBegF5MXiBd+F3UXbBdiF1cXSRc4FycXFBcDFvIW4xbVFsgWuxatFp4WjBZ4FmEWSRYvFhMV9xXYFbgVlRVvFUcVHhTzFMoUoxSAFGIUSBQzFCMUFRQKE/8T9RPqE90T0BPBE7IToROQE34TbBNaE0kTORMrEx8TFRMOEwgTAxL9EwkS+RLmEs8SthKdEoYSchJhElQSShJCEjkSLhIgEg4R9xHeEcMRpxGMEXQRXhFLETgRJhETEP0Q5BDIEKkQiBBlEEIQIBAAD+EPxA+rD5QPgQ9yD2cPXw9bD1kPWg9bD1wPXA9ZD1UPTQ9ADzAPGg7/Dt4Otw6JDlYOHg3kDakNbw05DQcM3Ay3DJkMggxxDGUMXAxXDFMMUAxNDEgMQQw3DCkMFgv/C+QLxQujC4ALXAs5CxYK9QrVCrcKmAp7Cl0KPwoiCgUJ6gnQCbgJogmNCXkJZAlNCTQJGAj6CNkIuAiWCHUIVwg7CCIICwf2B+AHygezB5oHgAdmB00HNgchBxAHAgb3Bu0G4wbYBsoGuganBpIGfAZlBk0GNgYgBgkF8wXbBcIFqAWOBXMFWQVBBSoFFQUCBO4E2gTEBKwEkwR5BGEESwQ5BCwEJQQhBCEEIQQgBBwEEwQFA/ID3QPGA68DmQOGA3QDZANVA0UDMwMfAwkC8ALUArYClgJ1AlQCMgIRAfEB1AG5AaIBjwF/AXIBZgFaAUwBPAEnAQ4A8wDVALgAmwCBAGsAWABHADgAKQAZAAb/8v/c/8T/rf+V/4D/bP9b/0z/P/8z/yj/Hf8R/wT+9v7l/tH+uv6g/oT+Z/5K/i/+F/4D/fT96f3h/dv91f3P/cj9v/20/an9nf2S/Yj9f/13/XD9aP1f/VP9Rf00/SD9C/z0/N78yPyy/J78ivx1/GD8Svwz/Br8APvl+8v7sfua+4X7c/tk+1f7TftF+z37N/sx+yz7KPsm+yX7Jvsn+yf7J/sl+yH7G/sU+wv7A/r7+vT67vrp+uX64Pra+tP6yvrB+rj6rvqm+p36lfqN+oT6efpu+mH6VfpK+kL6O/o3+jb6Nfoz+jD6K/ol+h36FvoR+hD6FPoc+ij6NvpD+k36UvpP+kX6M/ob+f753vm/+aL5ifl1+Wn5ZPlm+W/5fvmR+ab5u/nN+dz55/nt+fH58vn1+fn6AfoN+hr6KPo0+jr6Ofox+iH6DPn1+eH50vnM+c/52fno+fn6BfoL+gb5+Png+cL5pPmI+XT5avlq+XX5h/me+bb5zfng+e359fn5+fj59fnw+ev55vnh+d352vnY+dj52fnc+eD55vnt+fb5//oK+hX6Ifou+jv6SfpV+mD6afpw+nf6ffqE+o36mPqn+rj6yvrc+uz6+PsA+wP7A/sA+v76/vsB+wj7E/si+zL7QvtR+177aPtw+3j7f/uH+5H7nfus+7z7zPvc++r79fv8+/37+fvw++H7zfu1+5n7eftY+zT7EPrr+sf6o/qB+mH6RPot+hv6EfoQ+hn6LfpN+nr6svr2+0T7mvv2/FT8sf0J/Vj9mv3N/fD+A/4K/gb9/P3w/eb94f3j/ez9+v4L/h7+L/4//kv+Vv5f/mn+dv6F/pf+rP7C/tj+7P7+/w7/Hf8s/z3/Uf9o/4P/oP+9/9r/9QAMACAALwA8AEcAUABYAF8AZABnAGYAYwBeAFcAUQBMAEsATwBWAGEAbgB8AIgAkgCZAJ4AogCmAKwAtQDBANAA4gD1AQgBGQEoATUBQAFIAVABVgFdAWQBawFyAXgBfAF/AYABfQF5AXMBbAFlAV4BWQFXAVcBWwFhAWoBdAF/AYkBkgGZAZ8BowGmAagBqQGrAa0BsAGzAbcBvAHBAccBzAHSAdcB2wHfAeIB5QHoAewB8QH5AgMCEAIeAi0CPAJKAlYCYAJoAnACdwJ/AogCkwKeAqoCtQK9AsMCxgLFAsECvAK1AqwCpAKaApAChQJ5AmwCXgJQAkMCNgIsAiMCHAIVAg8CCQIDAf0B+AH0AfIB8wH3Af0CBQIOAhcCHwImAiwCMQI2AjsCQQJHAksCTgJOAkkCQAI0AiQCEgH/Ae4B3gHPAcMBtwGrAZ4BkAGAAW8BXQFLATkBKAEZAQoA/ADuAOAA0gDEALYAqACbAI8AhQB8AHQAbQBnAGIAXQBYAFQAUABNAEoARwBGAEUARwBKAE8AVQBcAGMAaABsAG4AbQBpAGUAYQBdAFsAXABeAGIAZgBpAGsAawBqAGkAaQBrAHEAfQCOAKQAvQDaAPcBFQExAU0BZwGAAZcBrgHBAdMB4AHpAe0B7QHoAd8B1AHJAb0BsgGpAaABmAGPAYcBfwF4AXEBbAFqAWsBbwF2AX8BiAGSAZsBoQGkAaUBpAGgAZ0BmgGZAZoBnwGoAbQBwwHTAeMB8wIBAg0CFwIhAisCNwJHAlsCcwKOAqsCxwLhAvYDBQMNAxEDEAMNAwoDCAMJAwwDEAMUAxUDEQMJAvoC5QLLAqwCiwJoAkUCIgIBAeABwQGjAYQBZAFBARwA8gDEAJEAWQAf/+P/qP9v/zn/Cf7d/rb+lP52/lv+Rf4y/iT+HP4Z/hv+Iv4r/jX+Pf5C/kL+Pv40/ij+GP4I/ff95v3V/cL9rv2Y/YD9Z/1N/Tb9IP0O/P/88/zp/OH81/zN/ML8tvyr/KL8nPya/Jz8ofyn/K78s/y1/LL8qvyf/I/8fvxr/Fn8R/w2/Cb8FfwE+/D72fu++577e/tT+yj6+vrK+pn6aPo4+gn52/mw+Yb5Xvk3+RH47PjH+KL4ffha+Dj4F/f69+D3yfe196T3lPeD93D3Wvc+9x329PbF9pD2VfYW9db1lPVU9Rb03fSp9Hz0VvQ39B/0DPP+8/Tz6/Pj89vz0fPH87vzr/Oj85jzjvOF83/zevN383bzd/N583zzf/OB84LzgfN983fzbfNi81XzSfM+8zXzL/Mt8y7zMfM28zzzQvNH80zzUPNU81fzW/Nf82Tza/Ny83vzhvOU86XzufPR8+z0CvQq9Ez0bPSL9Kf0v/TR9N/05/Tq9Or05vTi9N302fTW9Nb02PTb9N704fTh9OD03fTa9Nj02vTj9PT1D/U09WD1kvXG9fj2JPZH9mH2cfZ39nf2c/Zt9mf2ZfZm9mv2dfaC9pP2pfa69s/25Pb69w/3JPc59073ZPd795b3tPfW9/34KfhZ+Iz4xPj9+Tj5dfmz+fH6L/pu+qz66vsn+2X7o/vj/CX8afyu/PT9Ov19/bz99f4p/lj+hP6v/tv/Cf84/2j/lv++/97/9AABAAgADwAeADsAbQC4ARwBlgIeAq0DOAO4BCYEgQTIBP8FLAVVBXwFpgXTBgIGMgZiBpIGwQb0BywHbQe4CAsIZAi9CREJWQmSCbkJ0AnbCeEJ5gnxCgQKHgo8ClkKbgp2CmwKUAolCe0Jsgl5CUgJJQkRCQ0JFwkuCU0JcgmdCcwJ/wo2CnEKsArxCzMLdQu1C/IMLQxmDJ4M1Q0NDUUNfg23De8OJg5bDo0OvQ7rDxcPQQ9qD5EPtg/ZD/oQGhA4EFcQdhCYEL0Q5BEOEToRZRGPEbcR2xH8EhoSNxJUEnISkRK0EtoTARMqE1MTfROnE9ET/hQtFF4UkhTGFPgVJRVKFWUVdBV4FXMVaRVgFV0VYxV2FZUVvxXwFiMWUhZ7FpsWsxbCFs4W2hboFvoXEhctF0kXYxd3F4UXixeJF4EXdhdpF1wXURdHFz8XNxcvFycXHxcXFxAXChcGFwMXABb9FvoW9RbwFuwW6xbtFvUXAhcVFysXQxdbF3AXgheQF5sXpBetF7YXwRfMF9cX4RfnF+kX5hfeF9MXxRe2F6gXmxeQF4YXfRdzF2cXWBdHFzMXHhcJFvQW4BbPFr8WsRalFpkWjBZ+Fm0WWhZDFigWCRXmFb8VlhVsFUEVGBTyFM4UrhSRFHgUYhROFDwUKxQbFAsT/BPtE98T0RPCE7MTpBOTE4ITcRNgE1ATQxM4EzATKhMmEyETHBMUEwoS9xLiEssStBKeEosSexJvEmYSXxJZElASRBI0Eh8SBRHpEcsRrhGSEXoRZBFRET0RKREREPQQ0xCsEIMQVxAtEAUP4g/ED6wPmg+ND4UPgQ9/D38Pgg+GD4oPkA+VD5gPmQ+WD40PfQ9lD0QPGQ7mDqkOZg4dDdMNiA1BDQAMyAyaDHgMYAxTDE8MUgxaDGMMbQx0DHgMdgxvDGEMTww5DB8MAwvnC8oLrguSC3YLWQs7CxoK+ArSCqsKggpZCjEKCgnmCcYJqQmPCXgJYwlRCT8JLQkbCQcI8QjZCL8IpAiGCGgISQgrCAwH7wfSB7YHmgeBB2gHUwc/By8HIgcZBxMHDwcLBwgHAwb7BvEG5AbTBsEGrgaaBoYGcwZgBk0GOAYiBgoF7wXTBbYFmAV6BV0FQAUkBQcE6QTKBKoEiQRqBE4ENwQlBBsEGAQaBCEEKQQwBDQEMwQtBCMEFQQEA/MD4QPQA8ADsAOeA4sDdgNfA0UDKAMKAuoCyAKkAoACWgIzAgwB5gHEAaUBjAF5AWoBYAFXAU4BQwEzAR4BBADnAMcAqACKAHEAWwBIADgAKgAbAAv/+f/l/8//uf+j/47/e/9q/1v/Tv9C/zf/LP8i/xf/C/7+/u/+3P7G/qz+j/5w/lD+Mf4U/fn94v3P/b/9sf2l/Zn9jv2E/Xv9dP1w/W79b/1y/XX9d/13/XH9Zv1V/T/9Jf0I/Ov8zvyz/Jr8hPxu/Fn8Q/wr/A/78fvP+637ivtp+0z7M/sf+xH7B/sB+vz6+vr3+vb69Pr0+vX69/r5+vv6+/r6+vb68Pro+t/61vrP+sn6xvrE+sL6wPq9+rf6r/ql+pr6j/qF+nv6c/pr+mL6WfpO+kL6N/ot+iX6Ifof+iH6JPon+in6Kvon+iT6H/ob+hn6Gvoe+iP6Kfot+i76Kvof+g759/nc+b35nvl/+WP5S/k5+Sz5J/kn+S75O/lM+V/5c/mG+Zf5pPmu+bT5uvm/+cb5zvnZ+eX58fn6+f75/Pnz+eT50fm9+a35o/mh+aj5uPnN+eT5+foH+g36CPn7+ef50Pm7+ar5ofmg+af5tvnH+dr57Pn5+gL6BfoD+f759fnr+eH51vnM+cT5vvm5+bj5uPm5+bz5v/nB+cT5xvnI+cz50vnb+ef59foF+hT6Ivou+jf6PfpC+kf6TPpU+l/6bfp8+oz6m/qn+rH6uPq++sT6yvrU+uD67/sC+xb7K/s++1D7YPtu+3n7hPuO+5j7o/uu+7r7xvvR+9v74/vo++n75/vh+9X7xfuw+5X7d/tU+y37BPrZ+q36gfpY+jL6Evn4+ej54fnl+fX6Efo4+mz6q/r1+0j7pPwE/Gb8x/0h/XH9tP3m/gj+Gf4e/hj+Df4B/fj99P32/f7+C/4a/ir+OP5F/k/+Wf5j/m/+ff6P/qP+uf7P/uT+9/8H/xf/J/85/07/Z/+E/6T/xv/nAAUAIAA3AEsAXABrAHsAiwCaAKgAsgC2ALMAqgCaAIYAcgBgAFQAUABUAGAAcgCHAJsArQC7AMUAygDOANIA2ADhAO0A/QEOASABMQFAAU4BWAFhAWgBbQFzAXkBfgGDAYgBjAGQAZIBkgGRAY8BjAGIAYQBgAF+AX4BgAGFAYwBlQGgAaoBswG7AcIBxwHLAc0BzwHSAdQB1wHbAeAB5QHqAe8B9AH5Af0CAAICAgMCBAIEAgYCCQIPAhcCIQIuAjwCSwJaAmgCdAJ/AooClAKeAqoCtQLCAs8C2gLkAuwC8QLzAvIC8ALsAuYC3wLXAs0CwQKzAqMCkgKBAnECYQJUAkgCPgI2Ai0CJQIdAhYCEAINAgwCDwIVAh0CJwIyAjwCRQJLAlECVQJYAl0CYgJnAmwCcAJxAm4CZwJcAk4CPQIsAhsCCwH9AfAB5AHXAckBuQGmAZMBfgFpAVUBQgExASABEQECAPMA5QDVAMcAuACqAJ4AkwCJAIAAeQByAGwAZwBjAF8AWwBXAFMATwBMAEgARgBFAEYASQBMAFEAVQBYAFoAWgBYAFYAVQBVAFcAWwBiAGoAcgB6AH8AggCDAIMAhACHAI4AmgCrAMAA2gD1AREBLAFGAV4BdQGKAZ8BsgHDAdIB3gHlAecB5gHgAdgBzgHFAb0BuAG2AbUBtgG5AbsBvgHBAcYBzAHVAeEB8AIBAhMCJAIzAj4CRAJGAkMCPAI0AiwCJgIkAigCMQJAAlUCbAKFAp4CtALHAtUC3wLmAuwC8gL7AwYDFQMlAzcDRwNTA1sDXANYA08DQwM3AywDJQMhAyEDIwMlAyUDIQMYAwkC9QLcAr8CoAJ+AlsCOQIWAfQB0wGzAZUBeAFcAUABIwEEAOIAvACTAGYANwAI/9j/qf97/1D/J/8A/t3+vv6k/pD+g/5+/oD+h/6R/pz+pP6o/qb+nv6Q/n7+av5U/j/+Kf4T/f395f3L/bD9lP16/WH9TP08/S/9Jv0f/Rj9EP0F/Pf85/zW/MX8tvyr/KL8nvyc/Jv8mvyW/JD8hvx4/Gj8V/xF/DT8JvwZ/A78BPv6++373PvG+6r7hvtd+y76+/rI+pT6Y/o0+gr54/m/+Z35e/lY+TL5Cvje+K/4fvhM+Bv37PfB95n3dvdY9z33JPcN9vT22fa69pf2bvZA9g712fWh9Wn1MPT69MX0lfRp9EL0IfQG8/Hz4PPU88vzw/O787LzqPOd85Dzg/N282rzX/NW80/zSPND8z7zOfM08y7zKfMj8x3zF/MP8wby/PLx8uby2/LR8svyx/LG8snyzvLU8tzy4/Lq8vDy9fL58v7zBPMJ8xDzGPMh8yzzOPNG81fzbPOF86LzwvPl9Ar0L/RS9HH0jPSh9LD0ufS99L30ufSz9Kz0pvSg9Jv0mPSV9JP0kPSN9In0hvSF9If0jvSd9LT00/T69Sj1WPWJ9bf13vX99hL2HvYj9iH2HPYV9hD2DfYN9hH2GPYi9i/2PvZO9mH2dvaL9qH2uPbP9uf2//cZ9zX3Vfd495/3zPf8+DD4Zvie+Nf5EPlJ+YL5u/n0+i36Zvqh+tz7Gvta+5374/ws/Hb8wP0I/Uz9iv3D/fb+Jv5V/oX+t/7t/yX/Xf+S/7//5P/+ABEAHwAwAEkAcQCuAQABZgHbAlgC1gNOA7kEFQRiBKEE1wUHBTcFZwWYBcsF/gYwBmEGkwbIBwQHSAeWB+0ISQimCPwJRwmACagJvgnICcoJywnRCd8J9QoPCioKQApKCkcKNAoVCe0JwwmcCX0JawlmCW4JgAmaCboJ3goFCjAKXwqTCs0LCgtLC40LzQwLDEYMfAywDOENEg1EDXYNqg3eDhMOSA58Dq4O4A8QDz8PbA+ZD8QP7RAUEDgQWxB8EJwQvRDeEQERJRFLEXIRmRG+EeISBBIjEkASXRJ6EpgStxLYEvwTIhNKE3MTnhPKE/kUKRRdFJIUyRT/FTMVYBWGFaAVrxW0Fa8VpRWbFZQVkxWcFa4VyBXnFggWKBZEFlwWbxaAFpAWoha3Fs8W6RcDFxoXLBc3FzsXOBcxFykXIhcdFx0XIBclFysXMBcyFzEXLhcoFyIXHBcXFxIXDxcLFwcXAxcAFv4XABcGFxIXJBc7F1YXcReMF6QXuBfIF9QX3hfnF+8X+BgAGAcYDBgNGAoYAxf3F+kX2RfJF7oXrBegF5UXiRd9F3AXYRdQFz0XKRcVFwAW7BbZFscWtRalFpYWhxZ5FmkWVhZAFiYWCBXlFcAVmBVwFUoVJxUHFOoU0BS5FKEUihRyFFkUQBQnFBAT/BPrE90T0RPHE74TtBOpE5wTjRN+E28TYRNUE0oTQBM4Ey8TJRMZEwMS8xLjEtQSxhK4Eq0SpBKcEpQSjRKDEncSZxJSEjkSHBH9Ed0RvhGhEYcRbhFWET0RIhEEEOAQuBCNEGAQNRAOD+0P0w/BD7cPsw+0D7gPvQ/CD8gPzQ/SD9YP2g/cD9oP1Q/ID7EPkA9iDygO4Q6PDjYN2A16DSAMzQyFDEsMHwwDC/UL9Av+DBAMJwxADFgMbQx6DIAMfAxvDFgMOwwZC/UL0QuwC5QLewtmC1MLPwsoCwwK6grCCpUKZQozCgMJ1QmsCYgJaAlOCTYJIQkNCPoI5wjUCMAIqwiWCH8IaAhOCDQIFwf6B9sHvQeeB4EHZgdOBzoHKgcfBxgHFQcVBxcHGgccBx0HGwcXBw4HAgb0BuQG0wbBBq8GngaMBnoGZwZRBjoGIQYHBesFzgWxBZQFdwVZBToFGgT3BNMErgSKBGkETAQ2BCYEHgQcBB4EIwQoBCwELQQqBCUEHQQTBAkD/gPzA+gD2wPNA7wDqQOSA3kDXgNAAyEDAALdArcCkAJmAjwCEgHrAccBqAGPAX0BcAFmAVwBUQFCAS4BFQD2ANYAtACUAHYAXQBHADYAJgAXAAn/+f/o/9b/w/+x/57/jf98/2z/Xf9O/0D/M/8m/xv/EP8G/vv+7v7f/sv+tP6Z/nz+XP48/hz9//3l/c39t/2j/ZD9gP1x/Wb9Xv1a/Vz9Y/1u/Xr9h/2Q/ZX9k/2J/Xf9Xf0+/Rz8+PzV/LP8lPx4/Fz8Qfwk/AX74/u9+5b7bvtH+yX7CPry+uL62PrT+tH60frR+tD60PrP+s76zvrN+s36zPrJ+sT6vvq2+q76pvqg+p36m/qb+pz6m/qY+pL6ifp++nH6Zfpa+lD6SPpB+jr6M/or+iL6GvoS+gz6CfoI+gr6DfoR+hP6FfoU+hP6EfoP+g/6D/oQ+hH6D/oL+gL59fnj+c35tfmb+YL5aflS+T35K/kd+RL5DPkK+Q35Fvkj+TP5RflY+Wv5e/mJ+ZT5nvmm+a75tvm++cf5zvnT+dT50vnK+cD5s/ml+Zr5lPmT+Zj5pPmz+cX51fnh+ej55/nh+db5yPm6+bD5qvmq+a/5ufnG+dT54Pnr+fH59Pnz+e755vnb+dD5xPm5+a/5qfml+aT5pvmq+a75sfmy+bH5rfmp+aX5o/mm+a35ufnK+dz57/oA+g/6Gfog+iX6KPos+jL6OvpD+k/6W/po+nT6f/qK+pX6ofqw+sD61Prp+wD7F/su+0X7Wfts+3z7i/uY+6T7rvu2+777xPvK+8770vvU+9X71PvP+8j7vPus+5b7e/ta+zT7Cvrc+qz6fPpO+iX6Avno+dn51vng+fb6GfpJ+oT6yvsb+3P70vw0/Jb89P1L/ZX90P37/hX+If4h/hj+Df4C/fr9+P38/gX+Ev4h/jD+Pf5J/lT+X/5r/nn+if6b/q7+wv7U/uX+9f8D/xP/Jf88/1j/ev+g/8j/8AAUADMATABfAGwAdgCAAIoAlwClALMAvgDDAMAAtQChAIcAawBQADsALwAuADgASwBjAH8AmgCxAMUA1ADgAOkA8gD8AQcBFAEiATABPgFMAVkBZQFwAXsBhAGOAZYBnQGiAaYBqQGrAa0BrgGvAbABsQGxAbIBsQGxAbEBsgG1AbkBvgHFAcsB0gHZAd4B4gHlAegB6gHtAfAB9AH5Af4CBAIJAg8CFAIYAhwCHwIhAiMCIwIkAiUCJgIpAi4CNQI/AkoCVwJlAnMCgQKPApwCqQK1AsACywLWAt8C6ALwAvYC/AMBAwQDCAMKAwsDCwMIAwEC9wLqAtkCxQKvApkChAJxAmACUQJFAjoCMgIrAicCJQImAioCMQI7AkYCUgJeAmcCbQJwAnECcAJuAm0CbQJuAnECcwJ1AnQCcQJqAmACVAJGAjgCKgIcAg4CAQHyAeIB0AG+AaoBlgGCAXABXgFNAT0BLgEeAQ4A/gDuAN4AzgC/ALEApACYAI4AhQB8AHUAcABrAGcAZABhAF0AWQBUAE4ASQBEAEAAPgA9AD4APwBBAEMARABDAEMAQwBEAEgATgBXAGEAbAB3AIAAhgCKAIwAjgCRAJYAoACuAMAA1QDtAQUBHQE0AUkBXAFvAYABjwGdAaoBswG5AbsBugG1Aa4BpwGgAZwBmgGcAaIBqgG2AcUB1QHoAf0CFAItAkgCYwJ/ApgCrgK+AskCzQLLAsMCuAKsAqACmAKVApkCpAK2As0C6QMGAyMDPQNTA2UDcQN4A3wDfgN/A4EDhAOGA4kDigOIA4MDegNtA14DTwNBAzUDLQMnAyQDIwMgAxwDFQMKAvwC6QLUAr0CowKIAmwCTQIuAg8B7wHRAbQBmgGCAWsBVgFAASkBEADzANQAsQCMAGYAPgAU/+n/vf+R/2X/O/8W/vj+4v7W/tL+1/7g/uv+9P75/vj+8P7h/s7+t/6f/of+bv5W/jz+Iv4G/en9zf2y/Zr9h/13/Wz9ZP1d/VX9Sv08/Sv9Fv0A/On81PzC/LP8qPyg/Jr8lPyM/IP8dvxn/FX8Qfwt/Br8CPv5++z74PvU+8b7tPuc+3z7Vfsn+vL6uvqC+kv6Gfnt+cn5qvmQ+Xj5YPlF+SX4/vjQ+Jv4YPgi9+P3pPdp9zT3BPbb9rf2l/Z69l32P/Ye9fr10vWn9Xr1TPUf9PL0yPSg9Hv0WPQ49Bz0A/Pt89vzzPPA87XzrPOi85fzivN782vzW/NM8z/zM/Mq8yLzG/MT8wry//Ly8uTy1fLH8rnyrPKh8pfyjvKF8n3ydvJw8m3ybPJu8nLyefKC8ovylfKd8qXyq/Ky8rnywPLH8tDy2vLk8vDy/PML8xzzMPNJ82bziPOt89Pz+vQf9D/0WvRw9H/0iPSM9Iz0ivSG9ID0evRz9Gv0YvRY9Ez0QfQ29C30KPQp9DD0QPRY9Hr0o/TR9QT1N/Vn9ZL1tvXR9eL17PXu9ev15fXe9dj11PXS9dP11/Xd9ef18/YD9hb2K/ZD9lz2dvaP9qn2wvbb9vb3E/cz91f3gPet9974EfhG+Hz4svjo+R75VPmK+cH5+Pow+mr6pPrh+yH7ZPuq+/P8PvyL/Nb9H/1l/aj96P4l/mP+of7g/yH/YP+d/9MAAgAnAEQAWgBvAIcApwDVARMBYQG9AiMCjQL2A1kDswQDBEoEigTEBPwFMwVpBZ4F0wYFBjYGaAacBtUHFgdhB7QIDQhoCMAJDglPCX8JoAmzCb0JxAnLCdYJ5gn5CgsKGgoiCiAKFQoCCesJ1QnECbsJvAnFCdUJ6woDChwKNwpVCngKoQrSCwwLTQuTC9oMIAxiDJ8M1g0HDTUNYQ2NDboN6Q4aDksOfg6wDuMPFQ9GD3cPpw/WEAMQLxBXEH4QohDEEOYRBxEoEUsRbRGQEbMR1BH0EhMSMBJLEmYSghKeErwS3BL/EyUTTBN3E6MT0hQDFDYUbBSkFN4VFxVNFX8VqRXJFd4V5xXmFd0VzxXBFbcVsxW3FcMV1hXtFgYWHhY0FkcWWRZqFn0WkxarFsUW3hb1FwYXEBcTFxAXCRcCFv0W/BcCFw0XGxcqFzYXPhdAFzsXMhclFxgXDhcHFwQXBhcLFxIXHBcmFzIXQBdQF2MXeBeOF6UXvBfQF+IX8Rf+GAgYEhgaGCIYKRgvGDEYMRgsGCMYGBgKF/sX7BfeF9AXwxe2F6gXmReJF3kXaBdXF0cXNxcoFxgXBxb0FuAWyhazFpwWhRZwFloWRRYuFhYV+hXdFb0VnBV7FV0VQRUoFREU+hTjFMoUrRSNFGwUShQpFA0T9RPkE9oT1BPRE9ATzhPJE8ITthOoE5cThhNzE2ITURNBEzETIhMTEwMS+BLvEugS4hLdEtcS0BLIEr4SsRKiEpASexJjEkgSKhILEeoRyRGnEYYRZRFDESAQ/BDVEK0QhRBeEDsQHhAID/oP9A/1D/oQARAJEBAQFBAWEBUQExAREA0QCBABD/YP4w/HD54PZw8iDs8OcQ4KDZ8NNQzSDHoMMAv3C88LuAuxC7cLxwveC/kMFgwxDEkMXAxoDGsMZQxVDDsMGgv0C8sLpAuAC2ELSAs0CyILEAr7CuAKvwqXCmkKOAoGCdYJqQmBCV0JPQkhCQYI7AjSCLgInQiDCGgITwg2CB4IBwfwB9kHwgeqB5IHewdkB08HPAcsBx8HFQcPBwwHDQcPBxMHGAcbBx4HHgcbBxUHDQcDBvcG6QbbBssGuwapBpYGgQZrBlIGOQYfBgUF6wXSBboFowWKBXEFVQU3BRUE8gTOBKoEiQRsBFUEQwQ2BC4EKgQnBCQEIQQcBBUEDQQDA/oD8APmA90D0wPIA7wDrgOeA4wDeANiA0oDLwMSAvICzwKqAoMCWwIzAg4B7AHPAbYBoQGQAYABbwFdAUcBLQEPAO8AzgCtAI0AcQBYAEMAMAAfAA7////v/+D/0P/B/7H/of+R/4D/bv9c/0n/N/8n/xn/DP8C/vj+7v7j/tX+w/6u/pX+ev5d/kH+Jv4N/fX93v3I/bL9nf2K/Xn9bP1k/WT9av12/Yf9mv2s/bv9xP3E/br9p/2L/Wj9P/0U/Of8vPyU/G38Sfwm/AL73fu2+437ZPs8+xf69vrc+sj6vPq0+rH6sPqw+q/6rfqq+qb6o/qf+pz6mfqW+pL6jvqJ+oP6f/p8+nv6evp7+nr6efp0+mz6YvpV+kj6PPow+if6IPoZ+hT6DvoH+gH5+/n1+fH57/nu+e/57/nw+e/57vnt+e357vnx+fX5+fn8+fz59/nt+d35yfmy+Zv5hPlw+V75UPlE+Tj5Lvkj+Rj5D/kH+QP5A/kI+RH5H/kv+UH5U/ll+XX5g/mQ+Zr5ofmn+ar5qvmo+aT5n/mY+ZH5ivmF+YH5gPmC+Yb5jPmU+Zv5oPmk+aX5o/me+Zf5jvmH+YH5ffl9+YH5h/mQ+Zr5pfmv+bf5vfnB+cH5vfm3+a75pPmZ+Y/5h/mC+YH5hPmJ+Y/5lPmX+Zj5lPmP+Yn5hPmD+Yb5j/md+a/5w/nY+er5+voG+hD6Fvoc+iL6KPov+jf6QPpK+lX6Yfpu+n36jvqh+rX6y/ri+vr7Efsn+z37Uvtl+3f7h/uV+6D7qvux+7X7uPu6+7v7u/u7+7v7uvu3+7L7qfuc+4v7dftZ+zj7Efrn+rn6i/pe+jT6Efn3+ej55fnv+gj6Lvph+qH66/tA+5v7/Pxe/L79GP1n/aj92v37/g3+Ev4N/gT9+v3y/e/98f35/gX+E/4h/jD+Pf5J/lT+YP5t/nz+i/6b/qv+uv7H/tL+3f7o/vf/DP8n/0n/c/+i/9QABAAvAFMAbQB9AIQAhQCDAIEAgQCFAIsAkwCZAJoAlgCJAHYAXwBGADAAHwAXABkAIwA1AE0AZwCDAJ0AtQDLAN8A8gEEARUBJQEzAUABTQFZAWUBcgGAAY8BngGtAboBxQHNAdEB0wHTAdMB0wHTAdUB2AHaAd0B4AHhAeIB4gHiAeQB5gHpAewB8AH0AfcB+gH8Af4CAAIDAgcCCwIQAhYCHAIiAigCLgIzAjgCPQJCAkYCSgJNAk8CUQJTAlUCVwJbAmECaQJzAn8CjAKaAqgCtgLDAs4C2ALgAucC7QLyAvcC/gMFAwwDFQMdAyQDKQMrAygDIQMVAwQC8ALYAr8CpgKNAncCZAJTAkYCPQI3AjQCNgI6AkICTAJZAmYCcgJ9AoUCiQKJAoYCgQJ6AnQCbwJtAm0CbwJyAnUCdwJ2AnICagJhAlQCRgI2AiYCFAICAe8B3AHJAbcBpQGUAYUBdgFnAVkBSgE6ASoBGgEJAPgA6ADZAMsAvQCwAKMAlwCMAIIAegB0AG8AbABqAGcAZABfAFoAUwBMAEUAPwA8ADoAOgA6ADsAPAA8ADsAOgA5ADoAPABBAEkAUgBbAGQAbAByAHgAfQCCAIkAkwChALIAxwDdAPQBCwEhATUBSAFZAWgBdgGDAY0BlwGdAaEBogGfAZsBlQGPAYoBhwGIAY0BlwGnAbwB1gH1AhcCPAJiAocCqgLKAuQC+AMFAwsDCgMEAvoC7gLhAtcC0QLPAtMC3gLuAwMDGwM2A1ADagOAA5MDogOsA7IDtAOzA7ADqgOjA5sDkAOFA3gDagNdA1ADRAM7AzMDLgMpAyQDHwMYAw8DAwL2AucC1wLGArUCowKQAnsCZAJMAjICGAH+AeYB0AG7AagBlQGBAWwBVQE7ASABBADmAMgAqACGAGEAOAAL/9v/q/9+/1b/N/8j/xn/Gf8g/yr/M/84/zf/Lv8f/wr+8v7Y/r7+pP6K/nD+Vv47/iD+Bf3t/df9xf22/av9of2W/Yr9e/1o/VH9N/0d/QL86fzT/MD8sPyj/Jf8jPyC/HX8Z/xX/ET8L/wZ/AL76/vU+7/7qvuV+3/7ZftH+yL69/rG+o/6Vfob+eP5svmH+WX5S/k2+SX5FPkA+Ob4xPiZ+GX4Kffn96L3XPca9tz2pvZ29k72K/YM9e/10fWx9Y71afVB9Rn08vTN9Kv0i/Rv9FX0PPQk9A7z+PPk89Pzw/O286rzn/OS84TzdPNi807zOvMn8xfzCfL/8vby7vLk8tjyyPK18qDyivJ18mHyUfJE8jvyNPIw8izyKfIn8ifyKPIs8jLyOvJE8k/yWvJk8m3ydfJ88oPyi/KU8p7yqPK08sHyz/Lf8vHzBvMg8z7zYPOG863z1PP59Br0NPRI9Fb0X/Rj9GT0ZPRi9GD0XPRW9E30QPQw9B70CvP48+nz4fPh8+z0AfQh9En0efSs9OH1E/VC9Wr1i/Wk9bT1vvXC9cH1vvW59bT1r/Ws9az1rvWz9b31y/Xd9fP2DfYp9kb2Y/Z+9pf2rfbC9tf27fcG9yP3Rfds95b3xPf0+CX4V/iI+Lr47fkh+VX5i/nB+fj6MPpo+qL63vse+2L7qvv4/En8nPzx/Ub9mf3q/jn+hv7S/xz/Y/+o/+cAIgBVAIEApgDIAOcBBwErAVcBiwHHAgwCVwKmAvUDRAOQA9kEIARkBKgE6gUqBWkFpQXdBhMGRgZ5Bq4G6AcoB3AHvwgSCGYItgj+CTsJbAmQCaoJvQnLCdYJ4QnqCfEJ9Qn0Ce0J5AnZCdEJzgnUCeIJ+AoUCjMKUQpsCoQKmwqyCs0K8AsdC1QLlQvcDCcMcAy1DPUNLQ1fDY0NuQ3lDhEOPw5vDqAO0Q8DDzUPZg+YD8oP+xArEFkQhRCuENQQ+BEaETsRXBF9EZ0RvhHeEfwSFxIxEkgSXRJxEoYSnBK1EtIS8xMYE0ITcBOhE9QUCxRDFH0UuRT1FTAVaRWdFckV7BYDFg0WDBYAFe4V2RXHFbsVtxW+Fc4V5hYCFh8WPBZVFmsWfhaRFqMWtxbLFuAW8xcCFwwXEBcOFwkXAxb/FwEXCBcWFycXOhdKF1UXWBdSF0UXMxcgFw8XBBcAFwQXDxcgFzUXTRdlF34XlResF8EX1hfpF/oYCRgWGCEYKxg0GD4YRxhQGFcYXBheGFsYVBhJGDsYLBgeGBEYBRf7F/EX5RfXF8UXsReaF4IXbBdYF0gXOxcwFyYXGRcJFvQW3BbAFqIWhRZpFk8WNxYgFgkV8hXaFcEVqBWOFXYVXxVJFTMVHBUBFOMUwBSZFHAUSRQkFAYT7xPhE9oT2RPbE98T4RPgE9oT0RPDE7ETnhOIE3ITXBNHEzMTIRMREwwTAhL8EvgS9hLzEu4S5hLbEswSuRKkEo0SdBJaEj4SIRIBEeARvBGWEW4RRBEYEOsQvxCUEGwQSxAwEB4QFhAWEB4QKxA5EEcQUhBWEFUQThBDEDYQJxAYEAoP+g/oD88Prg+CD0gPAA6qDkkN4Q11DQsMqAxRDAoL1QuzC6MLoguuC8EL2QvyDAoMHwwwDD0MRgxKDEgMQAwxDBsL/gvcC7cLkQttC0sLLQsRCvgK3grCCqMKfgpWCisJ/gnTCakJgwlgCUAJIgkDCOQIxAiiCH8IXAg5CBYH9gfYB7wHogeKB3UHYgdRB0MHNwcsByMHGwcVBw4HCQcEBwAG/Qb8BvwG/Qb+BwEHAwcEBwQHAwcBBv0G9gbuBuMG1QbEBq8GlwZ8Bl4GPwYgBgIF5wXPBboFqAWXBYcFdQVgBUgFLAUNBOwEywStBJEEeQRnBFkETwRHBEAEOAQvBCQEFgQGA/QD4gPQA74DrwOgA5QDigOAA3YDbANgA1MDQwMvAxkDAALjAsMCogJ/AlsCOAIWAfUB1gG6AaABhwFvAVcBPgEkAQgA6wDOALEAlAB5AF8ARwAxAB0ACv/5/+n/2f/K/7v/q/+b/4r/d/9j/0//Ov8o/xf/Cf79/vL+5/7b/s3+vP6o/pH+ef5h/kn+M/4f/gz9+f3n/dP9wP2s/Zr9jP2D/YD9hf2Q/aH9tv3L/d797P3y/e/94P3H/aT9ef1H/RP83vyr/Hr8Tvwl+/772Puy+4z7Y/s7+xT67/rQ+rb6pPqX+pD6jPqK+oj6hvqC+n76efp1+nL6b/pt+mz6bPpr+mr6avpp+mn6afpn+mT6X/pX+k36Qfo0+ij6HfoT+gv6BPn++fj58fnq+eP53vna+dj51/nY+df51vnS+c35yPnE+cL5xfnL+dT53vnl+ej55PnY+cX5rvmV+X35afla+VD5SvlF+UD5OPku+SD5EPkB+PT46/jm+Oj47vj5+Qf5GPkq+T35Tvld+Wr5cvl1+XP5bflj+Vj5TflD+T75PPk++UT5TPlV+V35Y/ln+Wf5Zflh+Vv5U/lL+UP5PPk2+TL5MPkx+TT5OvlB+Uv5Vvlh+Wz5dvl9+YL5hPmC+X35dflr+WD5V/lQ+Uz5TPlQ+VX5XPli+Wb5Z/ln+WX5ZPlj+Wb5bfl3+YX5lvmn+bn5y/nb+er59/oD+g/6Gfoj+iz6NvpA+kv6WPpo+nn6jvqj+rr60fro+v37Efsj+zT7RPtT+2H7bvt5+4P7ivuQ+5T7l/uZ+5v7nfue+6D7oPuf+5z7lfuL+337a/tV+zn7Gvr2+s/6pvp8+lX6M/oZ+gn6BPoN+iT6Sfp8+rz7B/td+7r8G/x9/Nr9L/14/bH92/30/f/+AP36/fL96v3n/ej97/35/gX+E/4g/iz+N/5C/k3+Wf5m/nT+gv6Q/p3+qP6x/rn+wf7K/tf+6v8F/yj/VP+H/77/9gArAFkAfACTAJ4AngCWAIoAfgB0AHAAcQB2AH0AhACIAIcAgQB3AGoAXQBRAEkARgBIAE4AWABmAHcAigCfALYAzwDoAQEBGQEvAUIBUwFjAXIBgQGRAaMBtQHHAdgB5gHwAfYB+QH6AfkB+AH4AfkB/AH/AgICBAIGAgYCBgIGAgYCCAIKAg0CEAITAhUCFwIZAhoCHAIfAiMCKAIuAjQCOwJBAkcCTAJSAlcCXQJkAmsCcgJ4An4CgQKEAoUChQKEAoUChwKMApMCngKqArkCxwLUAuAC6gLxAvcC/AMCAwcDDgMXAyADKgMzAzoDPwNBAz8DOQMvAyADDwL6AuQCzQK2AqACiwJ5AmoCXwJXAlMCUwJVAlsCYwJtAncCgQKJAo8CkgKRAo4CiAKBAnoCdQJyAnICdQJ7AoEChgKJAooChgJ+AnECYQJPAjoCJAIOAfkB5AHRAb8BsAGhAZMBhgF5AWsBXAFMATwBLAEcAQ0A/gDwAOMA1QDIALoArACeAJEAhgB9AHgAdQB0AHMAcwByAG8AagBjAFwAVQBPAEoASABHAEcARwBHAEUAQwBAAD0APAA7AD0AQABFAEwAUwBaAGMAawB1AIEAjwChALUAywDjAPwBFQEsAUEBVAFlAXQBgQGNAZgBoQGoAa4BsgGzAbIBrgGoAaIBnQGaAZsBogGwAcUB4QIEAisCVAJ+AqUCyALkAvoDCAMPAxADDQMHAv8C9wLxAuwC6wLtAvIC+wMHAxYDJgM4A0sDXQNvA4ADjgOaA6IDpwOnA6QDnQOTA4YDeANpA1sDTQNDAzoDNAMwAywDKQMkAx0DEwMHAvkC6gLbAswCvwKzAqcCnAKQAoMCcwJiAlACPgIsAhsCCwH7AeoB1gHAAaYBigFsAU8BMwEZAQIA7ADVALoAmgBzAEYAFf/k/7b/kP90/2P/Xf9f/2T/af9q/2X/WP9F/y3/E/74/t3+w/6q/pL+e/5j/kv+NP4e/gv9+/3t/eD90v3E/bL9nf2E/Wn9S/0t/Q/88vzY/L/8qfyV/IP8c/xj/FT8Rfw2/CT8EPv5+9/7wvuj+4P7YvtA+x76/PrX+rD6hfpW+iT58Pm8+Yr5XPk0+RP4+Pjk+NP4xPiz+J74g/hg+DT4APfF94b3RfcF9sj2kfZh9jj2FfX29dr1vvWg9YD1XvU69RX08fTP9K/0kfR29Fv0QfQn9A3z9PPc88fztvOn85vzj/OD83XzY/NP8zfzH/MI8vPy4vLU8snyv/K08qbylPJ+8mbyTPI08h/yD/ID8fzx+fH48ffx9/H28fbx9/H68gDyCPIS8h3yKPIy8jvyQvJI8k7yVfJd8mfyc/KB8pHyovK18sry4fL88xrzPPNi84nzsPPV8/b0EfQn9DX0P/RF9Ej0SvRL9Ev0SvRF9D30L/Qd9Afz7/PZ88fzvfO888fz3PP89CP0UPR/9K702vUC9SX1Q/Vb9W/1fvWJ9ZD1lPWW9ZX1lPWS9ZL1k/WZ9aP1svXG9d/1/PYa9jn2VvZv9oX2l/am9rX2xPbX9u/3DPcv91b3gPes99j4BPgw+Fv4h/i0+OT5FvlK+X/5tfns+iP6W/qW+tX7Gftj+7P8Cfxk/MP9Iv2B/d/+Of6Q/uT/Nf+F/9MAHwBoAK8A8AErAWABjAGzAdQB8QIMAikCSgJvApoCywMDA0EDhQPNBBkEZwS3BQcFVQWfBeMGIwZdBpMGyAb+BzgHdwe7CAQITwiZCN0JGwlOCXgJlwmuCb4JyAnOCc8JzAnGCb4JtwmzCbcJxQneCgEKLgpgCpIKwAroCwkLIgs5C1ALbQuTC8IL+ww8DIEMxw0KDUgNgQ22DecOFg5FDnUOpg7XDwcPOA9oD5gPyA/4ECoQWxCMELwQ6RETEToRXRF9EZwRuRHWEfISDRInEj4SUhJjEnESfRKIEpYSphK8EtcS+hMkE1QTihPEFAIUQRSBFMIVAhU/FXoVsBXgFgYWIhYxFjQWKhYYFf8V5hXRFcMVwBXJFd4V+xYdFkAWYhaAFpgWrRa+Fs0W3BbqFvgXBBcNFxMXFRcVFxQXFBcYFyEXLhc/F1EXYRdsF3AXaxdgF08XPRcuFyUXIxcqFzoXUBdrF4gXpRfAF9kX8BgEGBUYJRgzGD8YSRhSGFsYZBhtGHcYgBiJGI4YkBiNGIUYeBhpGFcYRxg6GDAYKRgiGBsYERgBF+sX0BexF5EXcxdZF0UXNRcpFx8XExcEFvEW2Ra9FqAWghZmFkwWNRYgFgwV+BXkFdAVuxWlFZAVexVlFU0VMxUUFPAUyBSeFHMUSxQnFAsT9hPqE+QT4xPkE+QT4xPfE9gTzRPAE7EToBONE3kTZRNQEzsTKRMYExITBhL+EvoS+BL1EvES6BLbEsgSsRKWEnkSWhI6EhoR+RHYEbURkBFoET4REhDlELgQjRBnEEcQMBAjECAQJxA2EEoQXhBvEHoQfBB1EGYQUBA3EBwQAw/rD9MPuw+eD3oPTQ8UDs4OfQ4iDcENXgz8DKAMTwwMC9kLuAuoC6gLtAvJC+IL+wwRDCIMLQwzDDUMMgwtDCYMHAwPC/0L5wvNC68LjQtqC0YLIgr+CtoKtAqNCmQKOgoPCeUJvAmXCXUJVgk4CRsI/QjdCLoIlQhvCEgIIQf7B9gHtgeVB3cHWwdCBywHGwcOBwYHAgcBBwIHAgcBBv4G+QbxBugG3wbXBtEGzwbPBtIG2AbfBucG7gb1BvsG/gb+BvoG8QbjBs8GtAaUBnAGSQYhBfwF2wW/BakFmQWNBYQFegVvBV8FTAUzBRgE+gTeBMQErgScBI8EhgSABHoEcgRnBFgERAQrBA4D7gPOA68DkgN6A2cDWQNQA0kDRQNCAz0DNgMtAyEDEQL+AucCzQKvAo0CaAJBAhkB8AHJAaUBhAFoAU4BNwEhAQwA9gDfAMcArQCSAHcAXABCACoAFP///+z/2v/J/7j/qP+X/4X/cv9f/0z/Of8n/xb/CP76/u7+4P7R/sD+q/6T/nr+X/5F/i3+F/4E/fT95f3X/cn9vf2x/aj9o/2i/ab9r/29/c794P3w/f3+BP4E/fv96P3M/af9ev1G/Q/81vyf/Gv8O/wQ++n7xfuh+337WPsx+wn64/q/+qH6ifp4+m36Zvpj+mH6YPpe+lv6WPpU+lL6UPpQ+lH6UvpU+lb6WPpZ+ln6V/pT+k36RPo4+iz6HvoS+gf5//n4+fP57vno+eH52fnQ+cn5w/nA+b/5wfnD+cP5wPm5+a/5pPma+ZT5k/mZ+aT5sfm9+cT5wvm5+af5kPl4+WL5UPlE+T35Ofk2+TD5JvkX+QX48fjd+Mz4wPi5+Lf4uvjB+Mv41vjk+PL5AfkQ+Rz5JPkm+SP5GfkM+Pz47fjh+Nv43Pjj+PD5APkQ+R75Kfkt+S35J/kd+RH5A/j2+Or43/jY+NT41PjY+N/46vj2+QT5E/kh+S75OPlA+UX5SPlH+UP5PPk0+Sv5Ivka+RX5EvkR+RT5Gfkf+SX5K/kx+Tb5O/lB+Uf5TflW+V/5avl3+YX5lfmm+bj5y/nf+fP6BfoX+ib6NfpC+lD6X/pw+oL6l/qs+sH61vro+vn7B/sU+x/7Kvs1+z/7SftS+1n7X/tl+2n7bvty+3j7fvuE+4r7jvuQ+477ifuA+3P7Y/tQ+zn7Hvr/+t36uvqV+nP6Vfo++jD6Lfo4+lD6dvqq+uv7OPuN++r8Svyp/QL9Uf2U/cb96P37/gL+AP35/fL97f3s/e/99v4A/gr+FP4d/ib+Lv44/kP+T/5e/m3+ff6M/pr+pv6w/rn+wv7L/tb+5f75/xX/OP9l/5j/0QANAEYAeAChALsAyADHALwArACaAIwAhACFAIwAmgCsAL0AzADYAN4A4ADeANgAzwDFALkArACgAJYAkQCQAJUAogC1AM4A6gEHASQBQAFZAXEBhwGbAbABxAHXAekB+AIDAgsCEAISAhQCFAIVAhcCGQIbAh4CHwIgAiACHwIfAiACIgIlAikCLQIwAjMCNgI4AjoCPAJAAkUCSwJTAloCYgJpAm4CcwJ3AnsCgAKFAowCkwKbAqICqAKtAq8CrwKtAqwCqwKsArECuALDAs8C3QLqAvYDAAMHAw4DEwMZAyADKAMxAzoDQgNIA0wDTANKA0UDPgM1AysDHwMTAwQC9QLkAtICwQKxAqIClQKLAoQCfwJ8AnsCfAJ9AoACgwKFAocCiAKIAoUCggJ+AnoCdwJ2AnkCfgKEAowCkwKXApcCkwKKAnwCagJVAj4CJwIRAfwB6QHXAccBuQGrAZ4BkQGDAXQBZQFWAUYBNgEnARkBDAD/APIA5QDXAMkAugCrAJ4AkgCKAIUAhACGAIkAjQCRAJIAkQCMAIYAfgB2AG4AaABkAGIAYQBhAGEAYQBfAF4AXABaAFkAWQBbAF4AYwBpAHEAfACIAJcAqQC9ANMA6wEEAR0BNQFMAWEBdAGEAZMBoAGrAbUBvwHHAc8B1QHZAdsB2wHYAdQBzwHMAcsB0AHbAe0CBgIlAkkCbgKTArUC0gLpAvoDBQMLAw0DDgMNAw0DDQMOAxADEwMXAxwDIwMqAzIDOwNEA08DWQNlA3ADewOFA40DkwOVA5MDjAOCA3QDZQNUA0UDOAMuAyYDIQMdAxkDFAMMAwIC9QLmAtYCxwK6Aq8CpwKhAp0CmAKTAowChAJ6Am8CZAJaAlECRgI6AioCFAH5AdkBtQGRAW8BUwE9AS4BIgEXAQgA8wDUAKsAewBHABT/5//D/6r/m/+U/5L/j/+K/37/bf9W/zz/If8F/uz+1P6+/qn+lP5+/mn+VP5B/i/+H/4R/gL98/3h/cz9s/2Y/Xn9Wv06/Rn8+vzb/Lz8n/yD/Gn8Ufw7/Cj8F/wG+/X74PvI+6v7ifti+zj7DPrg+rX6jPpl+j/6Gvn1+c/5qPmB+Vr5NfkS+PL41/jA+Kz4mviK+Hj4Y/hK+Cr4A/fW96L3a/cz9vz2yPaZ9m/2TPYt9hH19vXa9bz1nPV69Vb1MvUN9On0xvSj9H/0WvQ29BHz7/PP87XzoPOQ84Xze/Ny82bzVvNB8ynzDvLy8tnyxPKy8qPyl/KJ8nryaPJS8jryIfIK8fbx6PHf8drx2fHZ8dnx2fHX8dXx1PHU8dfx3fHl8e/x+fIB8gnyDvIS8hbyG/Ij8i3yPPJN8mHydvKN8qXyvfLX8vTzEvMz81bzevOd877z2/P09Af0FfQf9Cb0K/Qv9DH0MfQt9Cb0GfQI8/Pz3PPH87Xzq/Oq87LzxPPf8//0I/RH9Gv0jPSs9Mn05PT+9Rf1L/VE9Vb1ZfVv9XX1ePV59Xn1evV+9Yb1k/Wm9b311/Xz9g72J/Y89kz2WfZk9m/2fPaO9qf2xfbr9xT3Qfdt95j3v/fl+Af4KvhO+HX4oPjQ+QT5Ovlz+a356Poj+mD6ofrm+zH7gvva/Df8l/z6/Vz9vP4a/nX+z/8p/4X/5ABGAKoBDQFsAcICCgJCAmgCfgKFAoMCfAJ2AncCggKZAr0C7wMuA3gDzAQmBIYE5wVHBaIF9QY+Bn4GtAblBxMHQwd2B7AH7wgyCHUItgjwCSIJSwlqCYIJlAmgCagJrAmuCa8JsQm2CcMJ2Qn7CikKYQqfCt4LGgtOC3kLmgu0C8wL5QwEDCsMWwySDM4NDQ1LDYcNwQ35Di8OZQ6bDtEPBg86D2wPmw/ID/UQIRBOEH0QrRDfEQ8RPhFpEZERtBHTEe4SBxIfEjQSSBJbEmoSdhKAEogSjhKVEp4SrBLBEt4TBBMzE2kTpxPqFDAUdxS9FQEVQRV9FbQV5BYNFi4WRBZQFlEWSBY3FiEWChX2FekV5hXuFf8WGBY2FlUWcxaMFqIWsxbBFs0W2RbkFu8W+hcEFwwXFBcaFyEXKhc1F0MXUhdhF24Xdhd4F3QXahdeF1IXShdIF1AXYBd4F5YXthfXF/UYDxgkGDUYRBhPGFoYZBhtGHcYgBiIGJEYmRiiGKsYsxi6GL0YvBi2GKsYnRiMGHsYbBhgGFkYVBhQGEoYQBgxGBoX/RfbF7cXkxdyF1UXPRcpFxYXBBbxFtwWxRasFpQWfBZmFlIWQBYtFhsWCBX0FeAVyxW3FaIVjRV3FV4VQhUgFPoU0RSnFH4UWRQ6FCIUERQGE/4T+RPzE+sT4hPXE8sTvhOzE6gTnROQE4ITchNfE0sTNhMjExYTBRL5EvMS8RLwEu0S5hLZEsUSqhKIEmMSOhIQEeYRvRGVEW8RSRElEQIQ3xC9EJ0QgBBoEFUQShBHEE0QWRBqEHsQiRCREJAQhBBuEFEQMBAND+wPzQ+xD5UPdw9UDygO8g6xDmcOFQ3ADWkNFQzFDH0MPgwLC+QLygu+C78LyQvbC/IMCAwbDCkMMAwyDC0MJQwaDA0MAAvxC+ELzQu2C5sLfAtaCzULDgrkCrgKigpaCikJ+AnKCZ4JdwlUCTYJGQj+COIIwwiiCH4IWAgyCA0H6gfKB6sHjgdxB1UHOgchBwsG+QbtBucG5gboBuwG7wbvBusG4wbXBskGuwauBqYGogajBqkGsga+BssG2AblBvAG+gcABwQHAgb6BusG1Qa3BpIGaQY+BhUF7wXQBbkFqAWdBZUFjgWFBXgFZgVPBTQFGAT8BOQEzwTABLcEsQSsBKgEoQSXBIYEbgRQBCwEBAPZA64DhgNiA0UDLwMgAxgDFAMTAxQDFAMTAw8DCAL9Au0C2AK+Ap4CeAJNAiAB8QHDAZgBcQFRATUBHwEMAPsA6gDYAMQArwCXAH8AZgBOADUAHgAH//L/3f/K/7f/pP+S/4D/bf9a/0f/Nf8j/xP/A/71/ub+1/7F/q/+lv55/lr+OP4X/ff92v3C/a79n/2U/Y79jf2R/Zr9qP25/c394v32/gb+Ef4V/hH+Bf3y/dj9uP2T/Wn9O/0J/NX8oPxt/Dv8Dfvk+7/7nft9+137O/sY+vL6zfqq+or6b/pb+k36RfpA+j76Pfo8+jv6Ofo2+jT6Mvox+jH6Mfoy+jP6NPo1+jX6NPov+ij6HvoQ+gL58/nm+dv51PnQ+c35y/nH+cH5ufmw+af5ofmf+Z/5o/mm+af5o/ma+Yv5efln+Vr5U/lV+V35a/l4+YL5hPl++W/5XPlF+TH5IPkU+Qz5Bvj++PP45PjR+Lz4qPiX+Iv4hviF+In4j/iW+Jv4oPil+Kr4sPi3+L/4xfjI+Mb4v/i0+KX4l/iM+Ib4h/iP+J34rvjB+NL43vjk+OX43/jT+MT4s/ih+JD4g/h5+HX4d/iA+I74ofi2+Mz44fjz+QH5CvkO+Q/5DfkJ+QT4//j5+PT47/jq+Ob44/ji+OP45fjq+PH4+fkD+Q75Gfkk+S75OPlB+Un5Ufla+WX5cvmD+Zf5rvnH+eH5+voT+in6PfpP+l/6b/p/+o/6n/qv+r76zPrX+uL66/r0+v77CfsU+yD7K/s2+z77RftK+077U/tY+1/7Zvtv+3b7e/t++337ePtv+2P7U/tB+yv7E/r3+tn6uvqb+n/6afpa+lX6XPpw+pH6v/r4+z37i/vg/Dn8lPzr/Tz9gv27/eX9//4M/g/+Cv4D/fz9+P33/fr9//4G/gz+Ev4Y/h7+J/4x/j7+Tv5h/nT+iP6b/q7+v/7Q/t/+7P75/wP/Dv8Z/yj/PP9Y/37/r//oACYAZQCfAM4A7gD/AQEA9wDnANQAxQC9AL0AxwDZAPEBDQEqAUYBYAF0AYMBigGIAXsBZQFHASMA/QDZALwAqgCjAKkAuwDVAPQBFwE5AVoBeQGVAa8BxgHbAe4B/QIKAhMCGgIfAiICJQInAioCLQIwAjICMwIzAjICMQIxAjICNAI3AjoCPwJDAkcCSgJNAlECVQJbAmICawJ1An8CiQKRApgCnQKgAqICowKlAqkCrgK0ArwCwwLKAs4C0ALQAs8CzgLNAs8C1ALcAuYC8QL9AwgDEAMXAx0DIwMpAzADOANBA0oDUANVA1UDUwNOA0cDQAM4AzIDKwMkAx0DEwMIAvwC7gLgAtMCxwK8ArMCqgKiApoCkgKLAoUCgAJ8AnoCeQJ4AngCdwJ2AnUCdQJ3AnsCgAKHAo0CkQKTApACiQJ8AmwCWQJEAi8CGgIIAfcB6AHaAc4BwgG3AaoBngGRAYIBcwFkAVQBRAE0ASUBFgEIAPoA7QDfANIAxgC6AK8ApwCjAKEAowCoAK8AtwC9AMIAxADDAL4AtgCtAKQAmwCUAI8AjACMAI0AjwCSAJQAlgCXAJgAmACZAJoAnACgAKYArgC6AMgA2ADrAP8BFAEpAT4BUgFkAXYBhgGVAaMBsAG9AcgB0gHcAeYB7gH1AfoB/gIBAgICAgICAgUCCwIVAiQCOQJSAm4CiwKnAsEC2ALrAvsDCAMSAxsDJAMrAzIDOAM9A0ADQwNGA0gDTANQA1YDXQNkA2wDdAN8A4MDiwORA5YDmAOYA5MDiwN+A24DXANIAzUDJAMVAwoDAQL6AvMC7ALjAtkCzQLBArUCqwKlAqECoQKjAqYCqQKqAqoCpwKjAp0CmAKSAowCgwJ3AmUCTAIrAgYB3gG3AZUBewFrAWQBYgFiAV0BTgE0AQ0A2gCiAGcAMQAE/+D/yP+3/6v/of+V/4T/cP9X/z3/I/8K/vP+3v7K/rb+of6M/nf+Yf5N/jr+Kf4Z/gn9+P3l/c/9tv2b/X79YP1A/SD8/vzc/Ln8lvxz/FH8MvwW+/375/vS+737pfuJ+2j7QfsW+uf6t/qH+lv6M/oP+fD51Pm7+aT5jPlz+Vn5Pfkh+QT46fjP+Lj4pPiS+IH4b/hc+ET4J/gE99v3rfd890n3Gfbr9sH2nfZ89l72QvYm9gn16fXH9aP1fvVX9S/1BfTa9K30fvRP9CHz9fPO863zlPOB83XzbPNk81vzTfM68yLzB/Lr8s/ytvKh8o7yfvJu8l3ySvI08h3yBvHx8d/x0/HM8cjxyPHI8cjxxvHD8b/xu/G48bjxu/HA8cfxzvHV8drx3vHh8eTx6fHy8f/yEPIl8j7yWPJy8ozypPK78tLy6PMA8xrzNfNS82/zi/Om873z0PPg8+zz9fP79AD0AvQA8/vz8vPk89PzwPOu86DzlvOU85vzqPO889Tz7/QJ9CP0PPRU9G30h/Sj9L/03fT59RP1KPU59UT1SvVN9U71UPVT9Vr1ZPV09Yf1nfWz9cn13PXr9ff2APYH9g/2G/Yu9kj2a/aU9sP29Pck91H3ePea97f30vfu+Az4MPhb+Iz4xPkA+T/5f/m/+f/6QPqC+sj7Evti+7j8E/xx/NH9MP2O/en+Q/6e/v3/Yv/PAEUAwQE9AbQCHgJ1ArUC2wLpAuQC0QK5AqICkwKQAp0CuQLlAyEDawPCBCMEiwT2BV8FwgYaBmUGogbUBv0HJAdMB3kHrAflCCEIXQiVCMcI8gkXCTcJVAlvCYkJoQm2CckJ2AnlCfQKBwoiCkgKdwquCuoLJgteC44LtgvXC/MMDgwsDFAMfAyuDOUNHw1bDZcN0w4PDkwOig7JDwgPRg+AD7YP5xAUED0QZhCOELkQ5REUEUIRcBGbEcIR5RIEEh4SNRJJElsSahJ3EoISixKSEpgSnhKmErESwRLYEvYTHRNME4UTxRQKFFMUnRTlFSkVZxWeFc4V9hYWFi8WQRZLFk4WSxZCFjcWKxYhFhoWGRYfFioWORZLFl0WbxZ+FosWlhahFq0WuRbHFtcW5hb2FwUXExchFy8XPhdNF1wXaRdzF3kXehd1F20XYxdbF1cXXBdpF4EXoBfFF+wYEhgzGE8YZBhzGH0YhRiLGJEYmBigGKgYsRi5GMAYxxjNGNIY1xjaGNoY2BjSGMkYvRixGKQYmBiPGIgYhBh/GHoYchhkGFIYOhgdF/wX2he2F5EXbhdLFykXCRbqFs0WtBadFosWfBZuFmEWUxZDFjEWHBYGFe8V2BXDFa8VmhWEFWsVTRUqFQMU2hSxFIwUbBRTFEEUNBQrFCMUGRQNE/8T7hPdE84TwRO3E7ATqxOkE5kTixN3E18TRRMsEx8TChL7EvIS7hLsEugS4RLSErwSnRJ2EkkSGBHlEbIRgRFVES0RChDsENQQwBCvEKEQlhCOEIkQiBCLEJIQnBCmEK0QrxCoEJkQfxBeEDgQEA/qD8cPqA+LD28PTg8mDvUOug53Di0N4g2YDVINEQzWDKEMcgxIDCUMCQv1C+oL6AvvC/sMCwwaDCUMLAwtDCgMHgwRDAEL8AvdC8gLsAuVC3cLVgsyCwoK4Aq0CoQKUwofCesJtwmGCVkJMQkPCPEI1gi8CKAIgwhjCEEIHQf7B9sHvgejB4sHdAddB0UHLQcWBwAG7wbjBtsG2QbaBt0G3gbbBtUGyga8BqwGngaSBooGiAaLBpMGnQapBrYGwgbMBtYG3wbnBu0G8QbxBuwG4AbNBrMGkwZxBk0GLAYQBfkF6AXbBdAFxAW1BaAFhgVnBUYFJAUFBOoE1QTFBLsEtASvBKoEoQSVBIQEbQRQBC0EBAPYA6oDfQNSAywDDQL1AuYC3wLdAuAC5QLrAu8C8ALsAuIC0gK7ApwCdwJNAh4B7QG9AY8BZQFBASIBCQD0AOIA0QDBALEAoQCRAH8AbQBZAEUALwAZAAL/6//V/7//qv+X/4T/cf9e/0r/Nv8i/w7++v7o/tb+w/6t/pX+d/5V/i/+Bf3b/bH9i/1r/VP9RP0//UX9VP1r/Yn9rP3R/fT+E/4o/jP+Mv4k/gv96P2//ZL9ZP01/Qj82/yu/IH8VPwo+/z70/ut+4v7a/tO+zL7Ffr2+tb6tfqU+nX6WvpE+jP6J/of+hv6GfoX+hb6FfoT+hH6DvoL+gf6BPoB+gD6APoB+gP6BPoD+f/59/nq+dr5yfm5+av5ofmc+Zn5mPmW+ZL5jPmE+Xz5dvl0+Xb5e/mA+YL5f/l1+WT5Tvk3+SP5F/kS+Rf5Ifkt+Tb5Ofkz+Sb5E/j9+Oj41vjI+L34s/in+Jn4hvhy+F34TPhB+D74QfhL+Ff4Y/hr+G74bPho+GL4Xfhc+F34YPhj+GX4Y/he+Fb4TfhE+D/4PvhD+Ez4Wfhn+HX4gPiI+Iv4iPiB+Hb4Z/hX+Eb4N/gs+Cf4Kvg0+Eb4Xvh5+JX4rvjD+NH42fja+Nf40vjL+MX4wfi/+L74v/jB+MT4xvjJ+Mz40fjX+N/46fj0+QL5EPkd+Sr5NvlA+Uj5UPlY+WL5b/l/+ZP5qvnD+d/5+voU+iz6QfpV+mb6dfqD+pD6m/qk+qv6svq3+rz6w/rL+tf65vr3+wj7Gvsp+zX7PftD+0b7SPtJ+0z7T/tT+1f7WftZ+1b7UftI+z37MPsg+w76+vrj+sr6sPqY+oT6dvpy+nn6jfqt+tr7EvtU+5377Pw9/JD84f0u/XL9rf3a/fr+Dv4W/hb+Ef4K/gT+Af4B/gL+Bf4J/g3+EP4U/hv+JP4y/kP+WP5v/oj+oP65/tD+6P7+/xT/KP85/0f/UP9W/1v/Yv9v/4X/qP/WABAAUACQAMwA/QEfATIBNwExASMBEwEFAP0A+wECARIBKgFKAXEBnQHLAfcCHQI4AkQCPQIkAfsBxQGJAU4BGgDyANkA0ADVAOYA/wEeAT4BXgF9AZoBtQHNAeMB9QIEAhACGQIgAiYCKwIwAjUCOgI+AkICRAJFAkQCRAJDAkMCQwJFAkcCSQJMAk8CUgJVAloCYAJoAnICfgKKApgCpAKwArkCvwLDAsQCxQLFAscCygLPAtYC3wLnAu4C8gL0AvMC8QLvAu8C8QL3Av8DCQMTAx0DJQMrAy8DNAM4Az4DRgNOA1cDXgNjA2UDYwNfA1kDUwNMA0YDQAM6AzMDKgMgAxUDCAL8AvEC5gLcAtICxwK8Aq8CoQKUAokCfwJ5AnYCdQJ2AngCeQJ6AnsCfAJ+AoACgwKHAokCigKGAn8CdAJlAlMCQAItAhwCDAH/AfMB6QHfAdYBzQHEAboBsAGkAZgBigF7AWsBWQFHATQBIgERAQEA9ADoAN4A1gDQAMwAywDLAM4A0gDYAN8A5wDuAPMA9gD2APQA7wDpAOEA2QDSAM0AyQDIAMgAyQDMAM8A0wDVANgA2QDbANwA3QDfAOMA6QDxAPwBCQEXASUBNAFCAU8BXAFoAXQBgQGPAZ4BrgG+Ac0B2wHpAfQB/gIHAg8CFwIeAiQCKwIyAjkCQgJNAlsCawJ9ApECpQK5AssC3QLtAv0DDAMbAyoDOANFA08DVgNZA1kDWANWA1UDVwNbA2MDbQN4A4IDjAOUA5oDngOfA54DmwOVA4wDfwNvA1sDRQMvAxgDBALyAuQC2QLSAswCxwLDAr4CugK1ArICsAKxArUCuwLCAsoC0QLWAtkC2gLZAtYC0gLMAsUCuwKrApUCeAJVAi8CBwHjAccBtAGsAa4BtQG9Ab0BswGaAXEBOwD9ALsAewBDABT/8P/U/77/qv+W/4H/af9P/zX/G/8D/u3+2P7E/q/+mP6B/mr+U/49/ij+FP4C/fD93f3J/bT9nP2D/Wj9TP0v/Q/87vzK/KT8fvxW/DD8Dfvs+8/7s/uZ+377YftA+xv68frF+pj6a/pB+hv5+/ng+cr5uPmp+Zz5j/mA+W75WvlD+Sr5EPj2+N74yfi2+KX4lPiB+Gz4Ufgx+Az34fez94T3Vfcp9wD22/a49pn2evZc9jz2HPX69df1svWM9WT1OfUN9N70rPR69Ef0FvPq88Pzo/OK83jza/Ng81TzRvM18x/zBvLr8s/ytfKd8ofycvJe8kryNPIe8gfx8fHe8c7xw/G88bnxuPG48bfxtfGx8azxpvGh8Z7xnfGe8aDxo/Gn8arxrfGw8bXxvfHI8djx7fIG8iLyQPJd8nnykfKl8rfyxvLU8uLy8vMF8xrzMfNJ82Hzd/OK85rzp/Oy87nzv/PB88HzvfO186vznvOQ84PzevN383nzgfOO86Dzs/PI893z8vQH9B70NvRR9G30ivSm9L/01fTm9PP0/PUC9Qf1C/US9Rv1J/U29Uj1XPVw9YP1k/Wf9aj1rfWw9bT1vPXK9eH2AfYq9ln2jPa/9u73Gfc891r3dfeO96r3yvfy+CL4WfiV+Nf5Gvld+aD54foj+mX6q/r1+0X7mvv0/FD8q/0D/Vj9qf36/kz+pv8L/3z/+gCCAQwBkQIIAmoCswLiAvgC/AL1AukC3gLbAuEC8gMPAzgDbgOxBAEEXATABScFjQXsBkAGhga/Bu0HFgc8B2UHkwfFB/kILQhdCIgIrgjSCPUJGwlFCXIJoAnMCfIKDwojCi8KOApDClQKbwqUCsMK9gsrC14LjAu0C9gL+gweDEUMcQyhDNYNDg1IDYINvw3+DkAOhQ7NDxYPXQ+hD98QFxBHEHIQmhDAEOcRDxE4EWIRjBG0EdoR/RIcEjcSTxJkEnQSghKNEpUSnRKkEqsStRLAEs8S4RL4ExQTNRNeE48TxxQGFEoUkRTXFRkVVhWJFbQV1RXtFf8WChYSFhgWHBYfFiMWJxYsFjMWPBZFFk4WVxZfFmYWbBZxFncWfhaIFpYWpxa6FtAW5hb7Fw8XIhc0F0QXVBdiF3AXexeCF4YXhheDF34Xexd7F4EXjxelF8MX5RgLGDAYURhuGIUYlhiiGKoYsRi2GL0YxBjLGNMY2xjhGOYY6RjsGO0Y7RjtGOsY6BjlGOAY2hjUGM0YxhjAGLoYtBivGKgYoRiXGIwYfRhqGFMYNxgVF+4XwheSF2AXLxcCFtoWuxajFpMWiBaAFngWbhZfFk0WNhYeFgYV7hXYFcMVrhWWFXoVWRU0FQsU4RS6FJgUfRRpFFwUUxRMFEQUORQqFBkUBhPzE+MT2BPQE8wTyBPDE7kTqROSE3cTWRM6EzkTIRMOEv8S8xLoEtwSzBK3EpwSehJSEiYR9hHEEZMRZBE5ERQQ9hDfEM4QxBC+EL0QvRC/EMIQxRDJEM0Q0BDQEMwQwRCvEJMQcBBIEBwP8g/MD6oPjA9xD1QPMg8JDtYOmg5YDhMN0A2TDV0NLw0IDOUMxAyjDIQMZQxKDDQMJgwfDB4MIgwoDC0MLgwsDCQMGQwKC/gL4wvMC7ILlAtzC00LJQr7Cs8KoQpyCkIKEAncCagJdAlDCRUI7gjMCK8Ilgh/CGgITggzCBQH9QfWB7kHnweHB3IHXgdLBzcHIgcOBvsG6gbeBtUG0AbOBs0GywbGBr8GtQaqBp4GkwaLBogGiAaMBpQGnAakBqsGrwayBrMGtAa1BrgGuwa+Br8Gvga4Bq4GngaLBnYGYQZNBjwGLAYeBg4F+gXhBcEFnAVyBUcFHQT4BNkEwQSwBKMEmgSSBIoEgARzBGQEUQQ5BBwD+wPUA6gDeQNJAxwC8wLSAroCrQKoAqwCtAK/AsoC0gLVAtECxQKxApUCcgJKAh0B7wHAAZIBZwFAARwA/QDiAMsAtwCnAJoAjwCFAHwAcQBkAFMAPwApAA//9f/b/8T/rv+a/4j/dv9j/0//Of8i/wn+8P7X/r7+pf6J/mv+SP4g/fT9xP2T/WT9O/0c/Qj9Av0K/R/9QP1q/Zn9yf32/hv+Nf5B/j7+LP4L/d/9q/1z/Tv9BvzV/Kj8f/xY/DP8Dfvn+8D7m/t4+1f7Ovsf+wb67vrU+rn6nPp++mD6RPor+hb6Bvn6+fL57vns+ez57Pnt+ez56fnl+eD52fnT+c/5zfnO+dL52Pnc+d752vnR+cH5rvmY+YX5dflq+WP5YPle+Vz5V/lR+Uv5RvlE+Uf5TPlU+Vn5WvlT+UX5MfkZ+QT48/jq+On47fj0+Pn49/ju+N34xvit+JT4gPhv+GP4WPhN+D/4Lvgb+An3+vfy9/H3+PgE+BL4Hvgm+Cf4IvgY+A34A/f99/r3/PgB+Ab4CvgM+Ar4BvgB9/z3+Pf49/r3//gG+A/4GPgh+Cj4Lfgv+C74KPgg+BT4CPf+9/f39vf9+Ar4Hvg2+FD4aPh9+Iv4lPiW+JX4kfiN+Ir4ifiL+JD4l/if+Kj4svi8+Mb40fjd+On49/kF+RT5Ifku+Tn5Q/lL+VP5Wvli+W35evmJ+Zz5svnI+d/59voM+h/6MvpC+lL6YPpt+nj6gfqI+oz6j/qR+pP6mPqg+q36vvrT+un6//sS+yH7LPsy+zT7M/sx+y77K/so+yb7I/sg+xv7FvsQ+wn7Afr4+u364PrQ+r/6rPqa+o36hvqI+pf6svrb+w/7TvuU++D8Lvx8/Mn9Ef1U/Y79v/3l/gD+EP4Y/hn+Fv4S/g/+Df4N/g/+EP4S/hP+Ff4Y/h/+Kv46/k/+aP6D/qD+vf7Z/vX/EP8q/0T/XP9y/4P/j/+W/5n/nP+i/6//xv/oABYATACIAMIA9wEjAUQBWAFiAWMBXQFUAUkBPwE5ATgBQAFTAXMBnwHXAhUCVAKNArgC0QLUAsACmAJhAiIB4QGmAXUBUQE5AS4BLQE0AUEBUwFoAX4BlgGtAcQB2AHrAfoCCAITAh0CJwIwAjoCQgJLAlECVwJbAl0CXgJeAl4CXQJdAlsCWgJZAlkCWQJcAmACZgJvAnoChwKVAqQCsgK/AsoC0wLaAt4C4QLjAucC6wLyAvsDBQMPAxcDHQMgAyADHQMaAxkDGQMeAyYDMAM7A0YDTgNUA1gDWgNcA14DYwNpA3EDeQN/A4MDhQODA38DeANxA2gDXwNUA0kDPQMxAyUDGgMQAwcC/gL2AusC3gLOAr0CqgKZAooCgQJ8AnwCfwKFAokCjQKOAo4CjAKJAocChQKDAoECfQJ2AmwCXwJQAkECMQIjAhYCDAICAfkB8AHoAd8B1gHOAcYBvgG1AawBoAGSAYEBbgFZAUQBMAEdAQ4BAQD4APMA8QDxAPQA9wD8AQEBBgELAQ8BEwEWARgBGQEaARkBGAEWARQBEgEQAQ4BDAEKAQgBBwEGAQYBBgEHAQgBCwENARABEwEXARsBIAEmAS0BNgE/AUkBUgFZAWABZwFtAXYBgAGOAZ8BsgHHAdsB7gH/Ag4CGgIkAi0CNgJAAkoCVQJgAmsCdgKBAowCmAKkArACvQLKAtYC4gLvAvwDCwMaAyoDOANFA04DVANVA1MDTgNKA0gDSgNQA1kDZgNyA34DiAONA48DjgOJA4IDegNwA2MDVQNEAzIDHQMIAvQC4gLTAsgCwQK9Ar0CwALEAsgCzQLRAtUC2gLeAuQC6gLwAvcC/QMCAwYDCAMIAwYDAgL8AvMC5QLSAroCnAJ5AlUCMgIVAgAB9gH3AgACDgIaAh8CGAICAdoBpAFkAR4A1wCWAFsAKf/+/9r/uP+Z/3r/XP8+/yD/Bf7q/tL+uv6i/or+cv5a/kL+K/4V/gD97P3Z/cb9sf2c/Yb9b/1W/T39Iv0F/OX8wvyc/HT8S/wi+/v71/u2+5j7e/td+z77G/r2+s36o/p5+lH6K/oK+e751vnE+bX5qfmf+ZX5i/l++XD5X/lL+Tb5IPkL+Pf45vjW+Mf4t/il+I74cvhQ+Cj3/ffP96H3dPdK9yP2/vbb9rr2mfZ49lf2NfYU9fH1z/Ws9Yf1YfU49Q303vSu9Hz0S/Qc8/DzyvOp847zd/Nk81PzQfMv8xnzAfLo8s3ysfKX8n3yZPJM8jXyHvIH8fHx3fHK8bzxsfGp8aTxovGg8Z7xm/GW8ZDxifGC8XvxdvFx8W7xbPFr8W3xcPF18Xzxh/GW8anxwfHb8fnyGPI38lTybfKC8pHynPKk8qvysvK78sjy2PLr8v/zFPMo8zrzSfNW82Hza/Nz83rzfvN/83zzdvNt82PzWfNS80/zUfNX82LzcfOC85XzqfO989Pz6vQC9Bv0M/RK9F/0cvSC9I/0m/Sl9LD0u/TI9Nb05vT39Qr1H/Uz9Ub1VvVj9Wz1b/Vw9XD1cfV49Yb1nfW+9ef2FvZI9nn2p/bQ9vT3Ffc191X3efei99L4B/hC+IH4wfkC+UP5g/nC+gL6RPqL+tf7Kft/+9j8MPyF/NP9G/1f/aH96P45/pn/Cf+JABQAogErAacCEAJjAqACzALpAv8DEgMkAzcDTANkA38DoQPKBAAEQgSSBOwFTQWuBgoGXAajBt8HEwdCB3AHnwfNB/sIJQhKCGoIhwijCMQI7QkgCVwJnAnbChIKPApXCmQKZwpoCmsKeAqRCrcK6AsdC1QLiQu5C+UMDQw1DF0MiAy1DOUNFw1KDX8Ntw30DjUOew7GDxQPYQ+sD/EQLxBlEJUQwBDnEQ4RNBFbEYMRqhHREfYSGRI5ElYSbxKDEpISnBKjEqcSqxKwErgSxBLTEuUS+hMPEyYTPxNbE3wToxPTFAoURxSHFMcVAhU2FWAVgBWWFaUVrxW4FcEVzRXcFe8WBRYcFjMWSBZZFmcWcBZ1FncWdxZ4FnsWghaOFp4WsxbKFuQW/RcVFysXPhdQF18XbRd6F4YXkBeZF6AXpherF7IXuhfHF9cX6xgDGB4YORhVGG8YhhiZGKkYthjBGMoY0hjaGOEY6RjwGPYY/BkBGQQZBxkIGQcZBRkDGP8Y/Bj4GPYY8xjxGPAY7hjrGOcY4RjaGNIYyhjBGLkYsBimGJgYhRhqGEcYHBfpF7EXeBdBFxAW6RbLFrcWqRagFpcWjBZ+FmwWVxZAFikWEhX7FeQVyhWtFYwVZRU8FRAU5xTCFKQUjRR+FHMUbBRlFFsUThQ9FCsUFxQGE/gT7hPoE+MT3xPZE84TvhOoE44TcRNUE2ETShMzExsTARLmEsoSrBKMEmoSSBIkEgAR2xG2EZERbRFLES0REhD9EO4Q5BDfEN4Q3xDhEOMQ5BDjEOAQ2hDQEMEQrBCREG4QRxAbD/APxg+hD4IPZg9MDzAPDw7mDrMOeA45DfkNvQ2JDV8NPw0mDREM/gzqDNIMuQygDIgMdAxkDFgMUAxJDEEMNwwqDBsMCgv3C+ILywuyC5QLcgtLCx8K7wq+CowKWgooCfcJxQmSCV8JLQj9CNEIqgiKCHAIWghHCDUIIQgKB/EH1ge6B58HhgdvB1sHSQc5BykHGQcJBvoG7QbhBtcGzwbJBsQGvwa6BrQGrgapBqMGnwadBp0GnwajBqgGrQawBrEGrwapBqEGlwaNBoQGfgZ7BnoGegZ5BncGcwZsBmMGWQZPBkUGOgYtBh0GBwXqBcYFmwVtBT0FEAToBMcErgSbBI4EhAR8BHUEbQRkBFoETQQ9BCkEDQPqA8ADjgNYAyIC7gLCAqACigKBAoICjAKaAqoCtgK9Ar0CtAKjAosCawJGAh4B8wHHAZsBbwFGAR4A+QDYALwApACSAIYAfgB4AHQAbgBkAFUAQQAoAAv/7f/R/7b/oP+N/3z/bf9d/0v/Nv8e/wL+5f7G/qX+hP5g/jn+EP3j/bP9g/1V/S39Dvz8/Pj9BP0e/UX9dP2n/dj+BP4l/jn+Pv4z/hr99P3D/Y39U/0a/OT8svyG/F78OfwW+/T70fut+4n7ZvtF+yb7C/rz+tz6xvqw+pf6fPpf+kH6I/oI+fH53fnP+cX5v/m9+b35v/nC+cP5wvm/+br5s/mr+aX5ofmi+af5r/m4+b/5wPm6+az5l/l/+Wb5UPk/+TP5LPko+SX5Ifkc+Rb5EfkP+RL5Gfki+Sv5Mfkw+Sj5GPkD+O742/jN+Mb4xPjE+MH4uvir+JT4efhb+D/4J/gW+Ar4A/f89/T36ffb98z3vfez9633rvez97r3wPfE98T3v/e496/3qPel96b3q/ey97v3wvfH98j3xvfC97z3tvew9633rPeu97L3uvfD98732vfk9+z38Pfw9+v35Pfb99P3zffM99H33Pfr9/74Efgj+DL4PvhG+Ev4TvhQ+FP4V/hd+GX4b/h7+If4lvil+Lb4yfjc+PD5A/kW+Sf5NflA+Un5T/lU+Vn5X/ln+XL5gPmR+aX5uPnM+d757vn8+gn6Ffoh+i36OfpG+lH6W/pj+mf6afpp+mn6a/pw+nn6hvqY+qz6wfrU+uX68fr4+vv6+/r4+vT68Prr+uf64/rf+tz62PrV+tP60frO+sv6xfq8+rH6pPqX+o36iPqL+pr6tvre+xT7VPuc++n8OPyG/NH9GP1Y/Y/9vv3k/gD+FP4f/iX+Jv4m/iT+I/4i/iH+If4g/iD+If4k/iv+N/5J/mD+e/6a/rv+2/77/xn/Nv9S/2z/hf+b/67/vf/J/9H/2f/i/+8AAwAeAEIAbACaAMsA+QEkAUoBaQGBAZIBnQGgAZwBkwGHAXsBcwFzAX8BmQHDAfoCOQJ6ArYC5wMHAxQDDgL3AtQCqAJ4AkgCGwHzAdABswGdAY0BgwGAAYMBigGWAaQBtAHFAdYB5wH5AgsCHQIuAj4CTQJaAmUCbgJ1AnsCfwKDAoUChQKEAoECfAJ3AnICbgJuAnACdQJ+AokClgKjArECvgLKAtYC4ALpAvEC+AMAAwgDEQMcAygDNANAA0oDUQNUA1QDUQNOA0wDTQNSA1sDZgNzA38DiAOOA5ADjwONA4sDiwOOA5QDmgOhA6YDqAOnA6IDmgOPA4IDcwNkA1UDRwM7AzIDKwMmAyEDHAMTAwYC9ALeAsQCqwKUAoMCegJ4AnwChAKOApUCmQKYApQCjAKEAnsCcwJsAmYCXwJXAk4CRAI6AjECKAIhAhoCEwILAgIB9wHrAeAB1QHMAcUBvwG5AbIBqgGeAY4BfQFpAVUBQgEyASUBHAEXARQBFQEYARwBIQEnAS0BMgE2ATkBOgE6ATkBNwE0ATMBMgEyATMBNgE5AT0BQAFBAUEBQAE9AToBOAE3ATkBPAFBAUcBTQFTAVkBXgFjAWkBbgF0AXsBgQGGAYoBjgGTAZkBogGwAcEB1QHsAgMCGAIqAjkCRQJPAlgCYgJsAngChAKRApwCpgKvArYCvQLEAssC0gLaAuMC7AL1AwADCwMXAyQDMAM8A0UDSwNPA08DTgNOA08DUgNYA2EDagNyA3gDegN5A3MDbANiA1gDTwNFAzsDMQMmAxoDDQL/AvIC5gLdAtcC1QLWAtoC4QLqAvMC/AMEAwsDEAMUAxYDGAMaAx0DIAMjAyYDKQMrAyoDKAMiAxgDCgL3At4CwQKiAoECYwJKAjoCMwI2AkACTgJcAmMCYAJOAi0B/QHCAX8BNwDwAKwAbAAy//z/zP+e/3T/Tf8o/wb+5f7H/qn+jP5w/lX+O/4i/gz9+P3l/dT9w/2x/Z/9i/12/WD9Sf0x/Rj8/fze/Lv8lPxq/D78Evvo+8H7nvt/+2L7Rvso+wb64vq5+o/6ZPo7+hb59fnZ+cL5r/mf+ZL5hvl6+W75YflU+UT5NPkj+RL5A/j1+Or44vjb+NP4yPi5+KP4hvhi+Dj4C/fc96/3hPdc9zf3FPby9tD2rvaM9mn2SPYm9gX15PXD9aH1ffVW9S71AvTV9Kb0d/RJ9Bzz8vPM86rzjPNx81jzQfMr8xPy+fLe8sHyo/KF8mjyTPIz8hryBPHv8dzxyvG68a3xofGX8Y/xiPGC8XzxdvFv8WbxXfFT8UnxPvE18S3xJ/Ek8SXxKfEx8TzxS/Fe8XPxi/Gk8cDx3fH68hbyLvJC8lLyXPJi8mXyZ/Jq8nHyevKI8pjyqvK88szy2/Lp8vbzA/MQ8x3zKvM08zvzPfM88zbzL/Mm8yDzHPMd8yPzLfM680vzXvNy84fznfOz88nz3vPx9AT0FPQk9DT0RPRU9Gb0d/SJ9Jv0rPS99M/04vT19Qj1G/Ur9Tb1PvVA9UD1P/VA9Uf1VvVv9ZH1uvXp9hn2SfZ39qL2y/bz9xz3Rvd096b32/gT+E34iPjD+P/5Ofl0+bD57/oy+nn6x/sa+2/7xfwY/GX8qvzp/ST9Yf2l/fX+Vv7I/0f/zwBXANoBUAG3Ag4CVgKUAsoC+gMmA0wDbAOFA5oDrAPCA+IEEARQBKEFAAVnBc8GMQaKBtcHGgdTB4cHtwfiCAkIKghFCFsIbgiDCKEIygkBCUUJkQndCiIKWgqACpUKnQqhCqYKtQrQCvoLLwtqC6cL4QwUDEEMaQyNDK8M0wz4DR8NSQ11DaMN1Q4MDkkOjA7UDx8Paw+1D/kQOBBwEKMQ0RD8ESYRUBF6EaURzhH3Eh4SQxJkEoESmBKoErEStBKzEq8SrRKuErUSwhLVEuwTBBMaEy4TPhNNE10TcROME7ET3xQUFE0UhhS7FOgVDBUoFT0VThVeFXEViBWlFcYV6hYPFjEWTxZnFngWgxaJFosWjRaQFpUWnxatFsAW1hbuFwcXHxc2F0sXXRdtF3wXiBeTF50XpxexF7wXyRfYF+oX/hgVGC0YRhheGHQYiBiaGKkYthjDGM8Y2hjmGPEY+xkEGQsZERkWGRsZIBkkGSkZLRkwGTEZLxksGSYZHxkZGRMZEBkPGQ8ZERkSGREZDRkGGPwY8RjkGNgYzhjEGLkYrBibGIIYYhg5GAoX1hehF24XQBcZFvkW4RbNFrwWrBabFokWdhZhFkwWNRYcFf8V3xW6FZIVZhU6FRAU7BTNFLYUphSaFJEUhxR7FGwUWhRGFDIUHxQQFAMT+hP0E+4T6BPgE9UTxxO2E6ITjhN3E4sTdxNdEz0TGBLwEsUSmhJwEkoSJxIJEewR0hG5EaARhRFrEVEROBEjERERAxD5EPMQ7hDrEOYQ3xDVEMgQuBCjEIsQbxBPECsQBA/dD7YPkw9zD1gPPw8nDwwO6w7CDpAOVw4ZDdwNpA10DU4NMw0hDRQNCQz9DO8M3gzMDLgMpQyTDIIMcAxeDEoMNAwcDAML6gvSC7kLnwuDC2MLPQsRCuEKrQp2CkAKCwnXCaUJdAlDCRII4gi1CIsIZghICC8IGwgKB/oH6QfXB8EHqgeSB3sHZAdRB0EHMwcoBx8HFgcOBwYG/QbzBukG3gbUBsoGwga8BrgGtga2BrcGuQa7Br0GvwbCBsUGyAbKBsoGxga+BrIGogaPBnsGaQZYBksGQAY5BjIGLAYmBiAGGQYTBg0GCAYBBfcF6AXSBbUFkgVpBT4FFATvBM8EtQSjBJYEjQSHBIQEgQR+BHsEdgRsBFwEQwQgA/IDuwN9AzwC/gLHApwCfgJuAmsCcgKAAo8CngKnAqkCowKVAn8CYwJCAh0B9QHMAaIBeAFOASUA/gDaALoAoACMAH4AdQBvAGsAZQBbAEwAOAAeAAD/4f/C/6b/jP93/2T/VP9E/zT/If8L/vH+0/6y/o7+Z/4+/hP95v26/ZD9av1K/TT9Kf0s/T39Wv2C/a/93/4J/iv+P/5E/jj+Hf32/cX9j/1Y/SH87vy//JT8bPxI/Cb8BPvi+7/7nPt5+1b7NfsW+vr64frK+rT6n/qI+m76U/o1+hb5+fnd+cT5sPmg+ZX5jfmJ+Yf5iPmK+Yz5jPmL+Yj5g/l9+Xf5dPl0+Xj5gPmJ+ZL5lvmT+Yj5dvle+UT5K/kV+QX4+/j0+O/46vjl+N/42vjY+Nr44vjs+Pj5APkE+P/48vjf+Mj4svif+JH4h/iB+Hn4bfhc+ET4JvgH9+r30vfA97b3sfev9633qfei95f3ivd993P3a/dn92X3Zfdk92L3YPde91z3Xfdi92n3c/d/94n3kfeW95b3k/eM94P3evdx92r3Zvdl92j3bvd394L3jvea96X3rPew96/3q/el9533lveS95L3lvef96z3u/fN99737ff7+Af4EfgZ+CD4J/gv+Df4QPhK+Ff4Zfh2+Ir4oPi5+NL47PkF+Rv5Lfk7+UX5S/lQ+VT5Wvlj+XD5gPmU+an5vvnQ+eD57Pn1+fz6AvoJ+hH6Gvoj+i36Nfo6+j36PPo4+jT6Mfow+jL6OfpE+lP6Y/p0+oP6j/qZ+p/6ovqi+qL6ofqg+p/6n/qf+p/6n/qf+p/6nvqe+pz6mfqU+o36g/p5+nD6avps+nf6j/q0+uj7J/tw+8D8Evxk/LT8/v1C/X/9s/3g/gP+Hv4x/j3+Qv5C/j/+O/41/jH+Lf4r/ir+LP4y/jv+Sf5c/nX+kv6y/tX++P8b/zv/Wv91/47/pf+5/8v/2//q//kACAAaAC4ARgBiAIMApgDLAPEBFwE7AV4BfwGcAbYBygHXAd0B2gHQAcIBswGmAaIBqAG6AdkCAwI0AmgCmQLGAuoDBAMTAxgDFAMHAvMC2AK5ApYCcQJLAigCBwHrAdMBwAGzAasBqQGtAbgByQHfAfkCFgIxAksCYQJyAn8CiQKSApkCoAKnAq0CsQKyAq8CqQKhApgCkQKNAo4CkwKcAqgCtQLCAs4C2ALiAusC9AL9AwcDEwMfAy0DPANLA1oDaAN1A38DhgOJA4gDhgODA4IDhAOJA5IDnQOpA7MDugO9A7wDuAOzA64DqwOrA64DswO4A7wDvAO5A7IDpgOYA4cDdgNlA1UDSQNAAzsDOAM4AzYDMgMoAxgDAALiAsECoQKFAnICaAJnAm0CdwKBAogCiQKFAnsCbgJhAlQCSQJAAjkCMwItAicCIgIeAhsCGQIYAhYCEgILAgAB8gHiAdMBxgG9AbYBswGxAa4BqQGhAZUBhwF4AWkBXAFSAUoBRAFAAT0BOwE7ATsBPQFBAUYBTQFTAVkBXgFhAWABXgFZAVQBTwFLAUkBSgFOAVQBWwFiAWcBawFtAW8BcAFyAXUBfAGEAY4BlwGgAagBrQGxAbQBtwG7AcABxgHLAdEB1gHbAeIB6gH2AgUCFgIqAj0CTwJeAmoCdAJ8AoMCjQKXAqQCsQK8AsYCzgLSAtUC1gLYAtwC4QLoAvAC+QMCAwwDFQMgAyoDNgNBA0wDVgNfA2YDbQNzA3oDgAOHA40DkQOSA5ADigOBA3YDawNhA1oDVQNSA1ADTwNNA0kDRAM+AzgDMQMrAyYDIwMiAyQDJwMrAzEDNwM8A0ADQgNCA0EDPwM+Az0DPQM/A0IDRgNJA0sDSwNHAz4DMgMhAwsC8gLWArkCnQKEAnICZgJhAmICaAJuAnACawJdAkMCHAHrAbEBcAErAOYAoQBeACD/5v+w/3//U/8q/wP+3/67/pf+dP5R/jD+Ev34/eH9z/2//bD9ov2T/YP9cf1e/Uv9N/0i/Qr88PzQ/Kv8gfxT/CL78vvF+5z7eftb+z/7I/sF+uP6vPqS+mX6OfoP+er5yfmu+Zf5g/lx+WH5UflB+TL5IfkR+QH48fji+Nb4zPjH+MX4xvjI+Mj4xPi5+Kb4ifhl+Dv4D/fi97b3jvdp90f3JvcF9uP2wfaf9n32XPY79hr1+fXW9bL1i/Vi9Tf1CvTe9LH0hPRZ9C/0B/Ph877znfN+82HzRvMr8w/y8vLS8rLykPJv8lDyMvIY8gHx7fHb8cvxvPGu8aDxk/GG8XrxbvFi8VfxS/E/8TPxJvEZ8Q3xAPD18Ovw5fDi8OTw6vD18QXxF/Es8ULxWvFx8YnxovG68dHx5fH38gXyDfIS8hPyE/IT8hXyG/Ik8jDyPvJM8lryZ/Jz8oDyjfKc8q3ywPLS8uLy7vL28vny9/Ly8u3y6fLn8uny7/L58wbzF/Mp8z3zUvNo83zzkPOj87TzxfPX8+rz/vQU9Cr0QfRW9Gn0efSI9JX0o/Sz9MX02PTr9P31C/UV9Rv1H/Uk9Sz1PPVT9XP1mvXH9fX2JfZT9n/2qvbW9wL3Mfdi95X3y/gC+Dn4cfio+N/5F/lO+Yf5wvoA+kL6ifrV+yT7dfvE/BD8VvyY/NX9E/1V/aH9+f5e/tD/Sv/IAEIAtQEfAX0B0gIgAmcCqQLjAxQDOgNUA2QDbwN8A5MDuwP6BE4EtgUqBaEGFAZ8BtUHHwddB5AHvAfiCAIIHggzCEUIVghqCIgIswjtCTYJiAncCioKbAqdCr0K0AreCuwLAgskC1MLiwvIDAQMOwxqDJAMrwzKDOQM/w0eDUANZw2SDcAN8w4rDmgOqg7wDzcPfg/DEAMQPRBzEKQQ0xEAES4RXBGLEboR6BIVEkASZxKIEqQStxLCEsUSwBK3EqsSohKfEqQSsRLHEuES/BMUEycTMxM5EzwTQRNME2ATfxOoE9gUDRRBFHIUnhTDFOUVAxUjFUUVaxWVFcIV7xYaFj8WXhZ1FoUWjxaVFpsWoRaqFrcWxxbbFvAXBxcdFzIXRhdYF2kXeBeFF5IXnRenF7EXuxfHF9QX5Rf5GBAYKxhHGGIYfRiUGKgYuBjGGNIY3hjrGPkZCBkXGSYZMhk7GUIZRhlJGUwZTxlVGVwZYxlqGW4ZbxlrGWUZWxlQGUcZPxk8GTsZPhlBGUMZQhk9GTIZIhkOGPkY5BjSGMIYtRipGJwYjBh1GFgYMxgIF9kXqBd4F0wXJBcCFuQWyxa1FqIWjxZ7FmUWTBYuFgsV4hW2FYkVXBUyFQ8U9BTgFNEUxxS9FLIUoxSQFHoUYxRMFDgUKBQcFBMUCxQEE/sT8RPmE9kTzBPAE7QTqRObE6gTlxN+E10TNhMKEtsSrBKAElcSMhISEfUR2hHAEacRjRFzEVoRQhEtERoRChD+EPMQ6hDfENMQwxCwEJkQfxBjEEUQJhAGD+cPyA+rD5APeA9hD0wPNw8fDwMO4A61DoMOSg4ODdMNnQ1uDUgNLA0XDQgM/AzwDOIM0wzBDK8MnAyJDHUMYAxJDDEMFgv5C9wLvwuiC4ULZwtGCyEK9wrHCpMKXAokCewJtQmBCU8JHwjwCMIIlghsCEUIJAgHB+8H2wfKB7kHqQeYB4UHcgdeB0wHPAcuByMHHAcXBxUHFQcVBxQHEQcMBwMG9wbpBtsGzgbFBsAGvgbBBsUGygbOBtIG1AbWBtkG3gbiBucG6QbnBuAG0ga+BqUGigZuBlMGOgYlBhEF/wXvBeEF1AXKBcMFvgW7BbkFtAWqBZsFhgVqBUsFKgUKBO0E1QTCBLMEqgSkBKIEogSjBKMEoQSZBIkEbwRJBBcD2wOYA1MDEALUAqMCfwJpAmACYgJrAncChAKOApICkAKGAnQCXAI+AhwB9wHPAacBfgFWAS8BCgDnAMgArQCWAIUAdwBtAGQAXABRAEMAMgAcAAL/5v/H/6j/if9s/1D/N/8g/wz++P7k/tD+uP6d/n/+XP43/hH97P3K/a79mv2O/Yz9k/2l/b793v4B/iL+Pf5P/lL+Rv4p/f39x/2K/U39Evzd/LD8i/xq/E38MfwU+/X71Puy+4/7bftL+yv7Dvry+tn6wfqq+pP6e/ph+kb6KPoK+ev5zfmy+Zr5hvl1+Wj5XvlW+VD5S/lJ+Un5SflK+Ur5SvlI+Ub5RflF+Uj5TflU+Vv5X/lf+Vf5SPkz+Rr5APjo+NX4x/i9+Lf4sviu+Kr4p/in+Kr4svi8+Mf40fjV+NH4xPiw+Jf4fPhi+E34Pfgx+Cb4GfgI9/P32fe996H3ifd392v3Zfdk92T3ZPdi9133VvdN90T3PPc19y/3Kvcl9yH3H/cd9x/3JPct9zn3R/dV92H3afds92r3Y/dY90r3Pfcx9yj3Ivch9yT3Kvcz9z33R/dR91r3YPdj92P3Yfdd91j3U/dP90/3U/dc92n3efeN96H3tPfG99X34ffq9/H39/f9+AP4C/gU+B74K/g6+Ez4Yvh6+Jb4s/jQ+Oz5BfkZ+Sn5NPk8+UT5TPlX+Wb5efmP+ab5vPnQ+eD57Pn0+fn5/foA+gT6CPoL+g76DvoN+gf6APn2+e355Pne+d354Pnn+fL6APoP+h36Kvo0+jz6QfpE+kf6SvpO+lP6WPpd+mH6ZPpl+mX6Y/pg+lz6WPpT+k36Rvo++jb6Mfoy+jv6UPpz+qT64/st+3/71fws/ID80P0a/V79m/3R/gD+Jv5C/lX+Xv5e/lj+Tv5C/jj+Mf4t/i7+NP4+/kz+Xf5z/oz+qf7I/ur/Df8v/1D/b/+K/6H/tv/I/9n/6f/7AA4AIwA8AFgAdwCYALoA3QEAASIBQgFiAYABnAG2Ac4B4QHvAfcB+AHzAeoB3wHUAcwByQHNAdgB6wIFAiQCRwJtApQCuwLgAwEDHQMyAz8DQwM/AzIDHwMFAuUCwQKYAm0CQQIWAe8B0AG8AbcBvwHVAfUCGwJBAmQCgAKVAqICqgKwArYCvQLGAs8C1gLaAtgC0wLKAsACuAK0ArYCvQLJAtcC5gLzAv4DBgMLAxADFgMeAykDNgNGA1cDaQN6A4sDmQOlA64DtAO3A7gDtwO2A7YDuAO9A8MDywPSA9gD2wPaA9YD0APJA8MDwAO/A8EDxAPGA8cDxQO/A7UDpwOYA4cDdgNnA1kDTgNGA0ADPQM6AzYDLgMhAw0C8wLUArICkwJ4AmYCXQJcAmECaAJtAm4CagJgAlICQwI0AigCHwIYAhQCEAINAgoCBwIFAgUCBgIHAgcCBAH8AfAB4QHQAcABswGrAagBpwGpAaoBqAGkAZwBkwGKAYEBegF1AXEBbQFpAWMBXQFWAVABTQFNAVEBWQFjAW8BegGEAYoBjAGJAYMBegFwAWcBYQFeAWABZgFuAXkBhAGOAZcBoAGoAbEBuwHHAdMB3wHpAfIB9wH7Af0B/wICAgcCDgIWAh4CJgIuAjUCPQJHAlECXQJqAncCggKLApMCmAKeAqUCrgK6AscC1ALfAucC6wLsAuoC5wLmAucC7AL0Av8DCwMXAyMDLgM5A0MDTQNYA2MDbwN7A4cDkwOgA6wDtwPBA8gDywPKA8QDvAOxA6cDngOaA5kDnQOjA6sDswO5A7wDvQO8A7gDsgOrA6MDmwOUA40DhwOCA38DfQN7A3oDdwN0A3ADbANoA2UDYwNkA2YDaANrA2wDawNnA2ADVQNHAzYDIgMMAvQC3ALEAq4CmgKKAnwCcgJnAlwCTgI8AiMCAwHcAa4BewFDAQkAzgCTAFsAJf/z/8b/m/9y/0n/If73/sv+n/5z/kr+I/4C/eX9zf25/ab9lf2D/XH9X/1N/Tv9Kv0Y/QT87fzR/K78hPxW/CX78/vE+5r7dPtT+zX7Fvr1+tD6p/p6+kz6Hvnz+cz5q/mP+Xf5Y/lQ+T75Lfkb+Qj49vjk+NL4w/i1+Kv4pfij+KX4qviv+LL4r/il+JH4dfhS+Cr4AffY97L3j/du90/3MPcR9vD2zvas9or2afZI9if2BPXf9bf1i/Vd9S30/vTP9KH0dvRN9Cb0APPd87rzmvN881/zQvMm8wny6fLI8qbygvJg8j/yIfIG8fDx3PHK8bvxq/Gc8Y3xfvFu8V/xT/E/8S/xHvEO8P7w7/Dh8NTwyPC+8LbwsfCv8LLwuvDG8Nbw6vEA8RfxLvFE8Vrxb/GD8ZXxpvG08b/xx/HL8cvxy/HK8crxzfHT8dzx5vHx8fvyBPIN8hfyIvIw8kHyVfJr8oDyk/Kj8q7ytPK28rbytfK18rfyu/LD8s3y2/Lr8v3zEPMk8zjzSvNa82rzefOK853zs/PM8+f0AvQc9DH0Q/RQ9Fr0ZPRw9H/0kvSn9L701fTp9Pr1CfUY9Sr1QPVd9YL1q/XY9gf2NPZf9oj2r/bX9wH3Lfdd95D3xff8+DP4a/ii+Nr5EflK+YP5vfn5+jf6d/q7+wD7SPuQ+9f8G/xc/Jv82v0c/WT9tf4Q/nX+4P9Q/8AALgCWAPkBVgGtAf0CRgKEArYC2QLuAvkDAAMMAyUDVQOeBAEEeAT8BYIGAAZvBssHEwdLB3cHnAe8B9kH9AgNCCQIOwhVCHgIpgjjCSwJfwnVCicKbgqmCs8K6Qr8Cw0LIgtAC2YLlQvHC/gMIwxIDGUMfQyTDKoMxQzmDQ0NPA1wDakN5g4nDmwOtA79D0cPjw/TEBIQSxB/EK8Q3REJETYRYxGSEcIR8hIhEk0SdRKXErESwxLLEsoSwRKyEqISlBKLEooSkhKiErcSzhLiEvES+hL+Ev8TARMIExcTMRNVE4ITthPtFCMUVxSIFLcU5RUUFUQVdxWrFd4WDhY3FlcWbxZ/FogWjhaUFpwWqha8FtMW7RcIFyIXORdMF1wXaBdyF3sXhBeOF5gXpBewF74XzBfcF+8YBBgcGDUYUBhsGIUYnRixGMIY0RjfGO4Y/hkQGSMZOBlMGV0Zaxl1GXsZfhl/GYEZhBmKGZIZnBmnGa8ZtRm2GbIZqRmeGZMZiBmAGXwZfBl+GYEZgRl9GXIZYBlHGSkZCBjqGM8YuxitGKMYnBiUGIYYcBhRGCkX+hfHF5MXYRc0Fw4W7hbUFr0WqRaTFnsWXhY6FhIV5RW2FYgVXhU7FR8VCxT+FPMU6RTcFMoUtBSaFH4UZRRQFEEUNxQyFC4UKRQiFBYUBxP2E+UT1hPLE8ITuxOzE7cTqROUE3gTVhMvEwYS3BKxEocSXRI1Eg0R5xHCEaARgBFkEUsRNhEkERQRBhD5EOsQ3BDKELYQnhCDEGYQRxApEAsP7w/WD8APrQ+dD48PgQ9zD2MPTw83DxgO8Q7EDpEOWg4iDewNuQ2NDWcNRw0tDRUM/wzoDNAMtgydDIMMagxSDDwMJgwPC/gL4AvHC6wLkAtzC1QLMgsMCuEKsgp+CkcKDQnUCZsJZAkvCPwIzAieCHIISAgiCAAH4gfIB7IHngeNB3wHbAdcB00HPgcxByUHGgcQBwkHBQcDBwUHCAcOBxQHGAcYBxMHCAb5BugG1gbIBr0GuQa5Br0GwwbJBs4G0wbXBt0G5AbtBvcHAQcIBwkHAwb2BuEGxgaoBogGZwZIBigGCgXtBdIFuQWjBZMFhwWABXwFegV2BXAFZgVXBUQFLgUWBP8E6QTWBMYEuASuBKcEowSgBJwElgSLBHkEXQQ3BAcDzgOQA1ADEgLaAqsChgJsAl0CVwJZAmECagJ0AnsCfgJ6Am8CXAJCAiIB/QHWAa4BhQFfAToBFwD2ANgAvQClAI8AfABsAF0AUQBFADoALQAfAA7/+P/d/73/mP9w/0f/IP79/uD+yv66/q7+pP6Y/on+d/5i/kv+Nv4l/hn+E/4U/hr+JP4w/j3+Sf5R/lT+T/5A/iX9/P3I/Yz9Sv0J/Mz8mfxw/FH8Ovwn/BT7//vl+8j7p/uF+2P7Q/sm+wv68vra+sP6q/qS+nj6XfpC+iX6B/no+cr5rvmU+Xz5aPlY+Un5Pfky+Sf5H/kY+RP5EfkS+RT5F/ka+Rv5HPkc+R75IPkk+Sn5LPks+Sb5GfkG+O740/i4+KH4j/iD+H34evh6+Hz4fviC+Ij4kPia+KT4rPiv+Kv4nviL+HD4U/g2+Bv4BPfy9+P31PfE97L3nPeE92z3VvdD9zX3Lfcp9yj3Kfcr9yz3Lfct9yv3Kfcl9x/3F/cO9wP2+fbx9uz27fbz9v33DPcb9yn3M/c39zT3Kvcb9wn29/bo9tz21vbW9tz25fbx9v73C/cX9yD3Jvcq9yv3Kfcl9x/3GvcW9xX3Gfci9zH3Rfdc93T3i/eg97H3vffF98v3z/fT99j33/fn9/H3/PgJ+Bj4Kfg++Fb4cviP+K74y/jl+Pr5DPkZ+SX5Mfk++U75Yfl3+Y75pPm5+cr52Pni+en57vnx+fL58vnv+en54PnU+cX5tfml+Zf5jfmG+YX5ifmS+Z75rfm8+cv51/ni+en57fnx+fT5+Pn9+gX6DfoW+h76I/ol+iP6H/oa+hT6D/oJ+gX6APn6+fX58vnz+fz6EPox+mH6n/rp+zz7k/vr/EH8k/zi/Sz9cf2y/ez+H/5G/mL+cf50/m3+YP5R/kP+Of41/jj+Qv5Q/mL+d/6N/qX+v/7b/vn/Gf84/1j/df+P/6f/vP/P/+H/8wAHAB0ANgBSAHEAkgC0ANcA+gEdAT4BXgF8AZgBsQHIAdsB6QH0AfoB/QH8AfoB+AH2AfYB+AH9AgQCDwIdAi8CRQJfAn4CoALDAuYDCAMnA0IDWQNsA3oDggOEA3wDaQNIAxoC4AKfAl0CIQHyAdcB0gHhAgICLAJaAoQCpQK8AskCzwLSAtUC2gLhAuoC8gL3AvgC9ALtAuUC4ALfAuQC7wL+Aw4DHgMrAzQDOQM8Az0DQANGA08DXANrA3wDjgOeA60DuQPEA80D0wPZA90D4APjA+YD6gPtA/ED9QP3A/gD9gPzA+4D5wPiA90D2gPYA9cD1gPUA9ADyAO/A7MDpgOaA40DgQN2A2sDXwNTA0cDOgMsAx4DDwL+AuoC1AK8AqUCjwJ+AnICbAJrAmwCbAJqAmMCVwJHAjUCJAIWAgwCBwIFAgUCBQIDAgEB/QH6AfgB+AH4AfcB8wHsAeEB0wHEAbYBqwGlAaQBpgGpAawBrAGqAaYBoAGbAZcBlQGTAZIBjwGKAYMBeQFuAWQBXQFZAVoBYAFpAXYBhAGRAZ0BpgGqAakBowGZAYwBfwF1AW8BbwF0AX8BjAGcAasBugHIAdUB4gHvAf0CCgIWAiACJwIsAi8CMwI2AjwCRAJOAlkCYwJtAnYCfgKGAo0ClQKcAqQCqgKwArQCuQK+AsUCzwLbAukC9QL/AwUDBgMEAv8C+wL4AvoDAAMKAxkDKQM5A0gDVgNhA2sDdAN7A4MDiwOUA54DqgO4A8cD1wPmA/ID+gP8A/sD9QPuA+cD4wPkA+oD9QQCBBAEHgQpBDEENQQ2BDQEMAQpBCAEFgQKA/0D8APkA9oD0QPJA8MDvAO2A68DpwOgA5oDlQORA48DjgOMA4oDhgN/A3cDbQNiA1YDSAM6AyoDGgMIAvQC3wLIArECmAJ/AmUCSgItAhAB8QHRAa8BjAFoAUMBHgD5ANQAsACMAGcAQgAa/+//wf+P/1v/Jf7w/rz+jf5h/jr+Fv32/db9uP2a/X39YP1G/S79Gf0F/PD82/zB/KT8gPxZ/C78AfvV+6v7hPtf+zz7GPry+sj6nPps+jz6Dvni+bz5nPmC+W35W/lL+Tv5KvkY+QT48Pjc+Mj4tvio+J34l/iW+Jf4mvib+Jn4kfiB+Gn4S/go+AP33/e89533gPdl90r3LfcN9uz2yfam9oT2YvZB9h/1/PXW9az1f/VP9R707PS89I30YPQ19Azz5PO+85vze/Ne80PzKvMR8vjy3PK+8p3ye/JZ8jnyG/H/8efx0fG88ajxlfGC8XDxXfFL8TnxKPEW8QPw8fDf8M3wvfCv8KPwmfCR8Ivwh/CF8IfwjPCV8KLws/DH8N3w9PEL8SHxNfFI8VnxafF38YPxjfGT8ZjxmvGb8Z3xoPGk8arxsfG48b/xxfHL8dHx2fHk8fLyA/IX8ivyP/JR8l/yavJy8njyfPKA8oXyi/KU8p7yq/K78szy3vLw8wDzD/Ma8yTzLfM380bzWfNy84/zsPPP8+z0A/QT9B/0J/Qw9Dz0TfRj9H70m/S49NX08PUM9Sj1SPVt9Zf1xfX09iT2UPZ59p72wfbk9wj3L/db94z3wPf2+C74Zvif+Nj5EvlO+Yr5x/oE+kL6gfrA+wD7P/t/+777+vw2/HD8qfzk/SL9Zf2w/gL+XP6+/yT/jv/6AGUAzwEzAY8B3wIfAk4CawJ4An4CggKRArMC7wNIA7sEQwTUBWQF5wZVBq0G7gccB0AHXgd7B5kHuQfbB/wIHghBCGgImAjSCRgJaAm8Cg8KWgqYCsYK5Qr3CwELCgsWCygLQAtcC3wLmwu4C9IL7QwIDCgMTgx8DLEM7g0wDXcNwQ4NDlwOqw78D0sPmg/kECkQaRChENQRAhEsEVURfxGpEdUSARIuElgSfxKgErkSyRLQEs0SwRKvEpoShRJyEmQSXBJaEl0SYxJrEnQSfBKEEo0SmxKuEsoS7xMdE1MTjxPNFA0UShSGFMAU+RUxFWkVoBXVFgYWLxZQFmcWdBZ5FnoWexZ/FooWnRa3FtgW+xcdFzoXUhdiF2wXcRdzF3QXdxd9F4gXlhepF78X2Rf1GBMYMhhQGG0YiBifGLMYxBjSGN8Y7Bj6GQsZHhkzGUkZXxl0GYUZkxmcGaEZpBmmGagZrBmzGbwZyBnVGeIZ7Rn1GfgZ9hnvGeUZ2RnNGcMZvBm5GbgZtxm0GawZnBmEGWMZPRkVGO8Yzxi4GKgYnhiYGI8YgRhrGEoYIRfxF74XjRdfFzcXFRb5FuAWyBavFpQWdBZPFicV/RXSFakVhRVmFU0VORUpFRkVBhTwFNYUuBSZFHwUZBRTFEoURxRIFEgURRQ9FC8UHBQHE/MT4hPVE80TxhPAE8QTthOjE4wTcBNQEy4TCBLgErQShRJUEiIR8BHCEZgRdRFaEUQRNBEmERkRChD4EOMQyhCvEJEQcxBVEDcQGxABD+oP1g/FD7gPrg+mD58PmA+OD38Paw9PDy0PBQ7XDqYOdA5DDhQN6A3BDZwNeg1YDTYNEwzuDMcMoQx7DFcMNQwYC/4L5wvRC74LqguVC38LZgtKCyoLBQrbCq0KeQpCCggJzAmRCVYJHAjkCK8IfAhNCCEH+QfWB7cHnQeGB3MHYQdSB0QHNwcsByIHGgcTBwwHBQb+BvYG8AbsBuwG7wb3BwEHDAcTBxQHDwcCBu8G2QbEBrMGpwaiBqMGqQawBrkGwQbJBtIG3AbnBvMHAAcLBxMHFQcQBwUG8wbdBsIGpAaEBmEGPQYXBfAFywWoBYoFcAVdBU4FRAU7BTMFKwUhBRYFCQT6BOsE2gTIBLYEpASSBIEEcgRkBFYESAQ3BCMECAPoA8EDlgNmAzYDCALcArYClQJ7AmgCXQJXAlgCXQJmAm4CdQJ3AnMCZgJRAjQCEQHqAcABlgFtAUcBIwECAOMAxgCrAJIAegBlAFEAQQAzACkAIAAYAA4AAP/q/83/pv94/0f/Fv7q/sj+sf6n/qf+rv63/r/+w/7D/r/+uv60/rD+rP6p/qX+nf6R/oH+a/5S/jT+Ef3p/bv9h/1N/Q/80fyY/Gb8P/wj/BD8A/v4++n71vu8+537e/tZ+zr7HvsG+vH63frI+rH6mfp++mP6R/or+g/58/nW+br5n/mF+W75W/lK+T35Mfkl+Rr5D/kF+Pz49vjy+PH48vjz+PP48/jy+PL48/j1+Pn4/fj++Pr48Pje+MX4qPiJ+G74WPhK+EP4RPhJ+FH4Wvhj+Gz4dPh8+IP4iPiK+Ib4fPhs+FX4Ofgb9/734vfJ97P3oPeO93v3afdW90P3Mvcj9xj3EPcM9wz3D/cU9xv3Ivcp9y/3Mfcw9yn3HPcK9vX23vbJ9rn2r/at9rL2v/bO9t726vbx9u/25vbX9sP2r/ae9pH2jPaO9pj2pva59s324fbz9wL3DPcT9xT3EfcJ9v728vbn9t/23Pbh9u73A/ce9zv3WPdy94j3mPej96r3r/e097r3wvfK99T33ffn9/L3/vgO+CH4OPhS+G/4jPin+L/40/jk+PL5APkO+R/5MvlG+Vz5cvmG+Zf5p/mz+b75xfnL+c35y/nE+bj5p/mT+X35aPlV+Ub5PPk4+Tr5QPlL+Vj5Z/l3+Yb5k/md+aX5qfmt+a/5svm3+b35xvnP+df53Pnf+d752/nV+dD5y/nG+cP5v/m7+bf5tPm1+b750fny+iL6YPqq+vz7U/ur/AH8Vfym/PT9QP2J/c3+Cf47/mD+d/6A/n3+c/5l/ln+UP5P/lT+X/5v/oP+l/6u/sX+3f73/xP/MP9N/2r/hv+g/7j/zv/k//kADwAmAD4AWQB0AJAArADJAOUBAgEeATsBWQF2AZIBrgHGAdwB7QH7AgUCDAIRAhYCGwIhAigCMQI8AkkCWAJpAn0CkwKrAsQC3QL1AwoDHAMtAz0DTgNjA3wDlgOvA8EDxwO6A5gDYgMbAs0CgAJAAhMB/wIEAh4CRgJ0AqACxALdAusC8QLzAvQC9gL7AwIDCQMOAxADDwMMAwoDCgMOAxcDIwMzA0IDUANaA2ADYgNjA2MDZANoA28DeQOFA5EDnQOpA7QDvQPHA9ED3APoA/MD/gQHBA4EFAQYBBkEGgQZBBcEFQQRBA4ECgQGBAID/QP4A/ID6gPgA9QDxgO4A6sDnwOXA5EDiwOGA30DcQNgA0oDMgMYAv8C6QLWAscCugKvAqYCngKXApICjQKKAoYCfwJ2AmgCVQJAAioCFwIHAf0B+QH5AfsB/QH+Af0B+gH2AfMB8QHvAe4B6wHlAd0B0gHFAboBsQGsAaoBrAGvAbEBswGyAbEBrwGtAawBrAGtAa0BqwGmAaABlwGOAYYBfgF5AXUBdAF1AXkBfwGIAZIBngGoAbABswGwAagBnQGQAYUBfwF/AYYBkwGkAbYByAHZAegB9wIEAhICIAIuAjoCRAJMAlECVgJbAmECaQJyAn0CiQKUAp4CpgKtArQCugLAAscCzQLTAtkC4ALnAvAC+wMGAxEDGwMhAyQDIwMfAxoDFgMVAxkDIgMwA0EDUwNlA3cDhgOSA5sDogOmA6kDqwOtA7EDuAPDA9ED4gP1BAYEEwQbBB8EHQQZBBUEEwQVBBwEKAQ3BEYEVgRjBG0EdAR5BHsEewR5BHQEbQRkBFkETAQ/BDMEJwQdBBMECgQBA/cD7APhA9YDzQPFA74DuAOzA64DqAOhA5kDkAOHA34DdQNsA2MDWgNPA0IDMgMfAwcC7ALOAq4CiwJpAkgCKQIMAfMB3QHKAbkBqgGbAYsBeQFkAUkBJwD/ANAAmwBiACf/7P+z/3z/Sf8Y/un+u/6M/lz+K/35/cj9l/1q/T/9Gfz2/Nb8uPyb/H/8YfxD/CP8Afve+7r7lftw+0n7IPr2+sn6mfpp+jj6Cvng+bz5n/mI+Xf5afld+U/5P/kr+RP4+fjf+Mb4sPif+JP4jPiK+In4iPiD+Hr4avhT+Db4Fvf099P3tfeZ94D3aPdQ9zX3GPb39tP2rvaJ9mX2Q/Yh9gD13fW49ZH1Z/U79Q303vSv9ID0UPQf8+/zwPOU823zSvMu8xbzA/Lx8t/yy/Ky8pfyePJY8jjyGvH98eLxyPGv8Zfxf/Fn8VDxOfEk8RDw/fDp8Nbww/Cw8J/wj/CB8HbwbvBo8GPwXvBb8FnwWPBc8GPwb/B/8JLwqPC+8NTw6fD88Q/xIPEx8UHxT/Fd8WjxcvF58X/xhPGJ8Y3xkvGX8ZzxofGm8avxsfG48cLxz/Hc8evx+vIJ8hXyIfIr8jTyPPJG8lDyXPJp8njyifKc8rDyxPLW8uXy8PL28vny+fL68v/zC/Mg8zzzX/OD86XzwvPX8+Xz7fP08/z0CvQf9Dv0XvSE9Kv00vT49R71RPVt9Zn1x/X39ib2U/Z89qH2xPbl9wj3LvdY94f3uvfw+Cf4X/iY+NH5DPlI+Yb5xvoH+kn6i/rN+w77TfuK+8X7/vw0/Gf8mfzJ/Pj9Kv1f/Zn93P4o/n/+4f9M/74AMgCjAQsBYwGoAdYB8QH8AgECCQIfAkwClgL+A4AEEwStBUAFxAYwBoMGvgbmBwQHHwc7B1sHgQeqB9MH/AgkCE0IewiwCO8JOQmLCeAKMQp4CrAK1QroCu0K6ArfCtkK2ArfCu8LBQshC0ILaAuTC8ML+ww6DH8Myg0aDWsNvg4QDmMOtQ8HD1oPrA/8EEkQkBDREQoRPRFpEZIRuBHfEgYSLxJYEn8SohK/EtUS4RLjEtsSyxKzEpYSdRJTEjISExH6EeYR2hHVEdkR5BH4EhMSNRJeEo8SxhMFE0gTkBPaFCQUbBSxFPIVLxVoFZ0VzhX6Fh8WPBZQFlsWXRZZFlIWThZQFlsWcBaOFrMW2hcAFyAXOBdIF1AXUxdSF1IXVBdcF2oXfxecF74X5RgOGDkYYhiHGKgYwhjWGOUY8Rj6GQQZDxkdGS4ZQRlVGWkZfBmLGZgZohmqGa8ZtBm5Gb8ZxRnOGdkZ5hn0GgMaEhoeGigaLBorGiQaGBoIGfgZ6RneGdcZ1RnTGc8Zxhm0GZkZdBlKGR0Y9BjQGLUYohiUGIkYexhoGE4YLBgFF9oXrxeFF18XPRcdFv8W4RbDFqQWgxZiFkEWIBX/FeAVwRWlFYoVbxVVFTkVHBT9FN0UvBSdFIIUbhRgFFkUVxRWFFQUTxREFDUUIhQOE/wT7RPhE9kT0xPNE9ITwhOtE5QTeBNaEzgTFBLrEr4SjBJYEiIR7hG+EZYRdhFeEU0RQBEzESQRDxD0ENQQsBCKEGYQRRAoEBAP/Q/sD98P0w/ID78Ptw+xD6oPow+ZD4oPdA9XDzMPCg7cDq4OgA5VDiwOBg3iDb0Nlw1vDUQNFgznDLcMiQxdDDUMEgvzC9gLwQusC5kLhQtwC1kLQAsiCwAK2QqtCnwKRwoOCdIJlAlWCRcI2gifCGYIMQf/B9MHrAeLB24HVwdDBzMHJQcZBxAHCQcEBwEG/wb+BvsG9wbwBucG3gbXBtUG1wbgBu4G/gcMBxUHFQcLBvkG4QbGBqwGmQaMBogGiwaTBp4Gqga1Br8GyQbTBt0G5gbvBvcG/Qb/Bv4G+AbuBt8GywayBpMGcAZHBhwF7wXEBZsFdgVWBTsFJAURBQEE8wToBN0E1ATLBMEEtASkBJAEeQReBEIEJwQMA/QD3QPJA7QDngOHA20DUgM2AxkC/ALhAsgCsAKbAokCewJwAmsCagJuAnQCewJ/An8CeAJqAlMCNQIQAegBvAGPAWQBOgETAO4AzQCuAJIAdwBeAEcAMgAhABMACQAC//v/8v/j/8z/q/+B/1D/H/7z/tH+vf66/sX+2/73/xL/Kf85/0L/Qv89/zL/I/8O/vP+0v6q/n7+Tv4c/ez9u/2L/Vr9Jvzw/Ln8g/xS/Cj8Cfv0++b73fvT+8X7sfuV+3P7Ufsv+xL6+vrn+tf6x/q2+qH6ifpv+lT6Ofof+gX56/nR+bb5m/mB+Wn5VflF+Tn5Lvkk+Rn5DPj++O/44fjV+Mz4xfjA+Lz4ufi3+Lf4uPi8+ML4yfjO+M74yPi5+KH4hPhk+EX4LPgb+BT4Ffgd+Cn4NvhB+Er4UPhU+Ff4WPhX+FT4TPg/+Cz4FPf599v3vPef94T3bPdW90T3NPcl9xr3EPcJ9wX3A/cE9wj3D/cX9yH3LPc29z33P/c89zH3HvcE9uT2w/ai9of2c/Zp9mn2cPZ99oz2mfai9qP2nfaR9oH2cPZh9lf2VPZY9mX2d/aN9qb2v/bV9uj29fb89vz29fbn9tT2vvao9pb2i/aK9pP2p/bD9uX3CPcq90j3YPdz94H3i/eT95v3oveq97D3tve898P3y/fX9+b3+vgR+Cv4Rvhf+Hb4i/id+K34vfjN+N/48/kI+R35MflE+Vb5Zfl0+YH5jPmT+Zf5lfmN+X/5bPlV+T75KPkW+Qn5AvkB+QT5C/kV+SD5Lfk6+Uj5Vflh+Wv5cvl3+Xv5ffmA+YT5ifmP+ZT5mPma+Zr5mPmV+ZH5jvmL+Yn5hvmB+X35evl7+YT5mPm6+ev6K/p3+sv7I/t8+9T8Kvx8/M39G/1n/a797v4j/kz+Z/52/nv+ef50/nD+b/50/n7+jP6c/rD+xP7b/vP/Df8q/0j/Z/+G/6L/vf/U/+r//wAUACoAQgBbAHYAkQCrAMMA2QDtAP8BDwEgATIBRwFeAXgBlAGxAc8B6gIDAhgCKQI3AkECSQJQAlgCYQJuAn4CkgKrAsgC5wMIAyYDPwNRA1wDXgNbA1cDVgNcA20DhgOlA8MD2QPfA88DqQNvAygC3gKaAmcCSQJCAlACbQKSArcC2ALwAwADCQMNAw8DEQMUAxcDHAMgAyMDJwMrAy8DNgM/A0kDVQNgA2oDcgN4A3wDfgOAA4IDhQOKA48DlAOaA54DogOmA6sDsgO8A8kD2gPsBAAEEgQhBC0ENAQ3BDYENAQyBDAELgQtBCwEKgQnBCIEHAQTBAcD+QPpA9cDxQOzA6QDmAORA40DiwOIA4IDdQNhA0cDKAMJAuwC1ALEAroCtgK1ArUCswKvAqgCoQKYAo8ChQJ5AmoCWAJCAioCEwH/AfEB6AHlAeYB6gHtAfAB8AHvAe4B7AHrAeoB6QHlAd8B1wHNAcIBuQGzAbABsAGxAbQBuAG7Ab0BwAHCAcQBxwHIAcgBxgHCAb0BuQG0AbABrAGnAaEBmgGRAYgBgQF/AYEBiQGUAaEBrAGzAbQBrgGmAZwBlQGUAZkBpQG2AcoB3gHxAgMCEgIhAjACPwJNAlsCZwJwAnYCewJ/AoMCiQKRApoCpQKxArsCxQLNAtUC3ALjAusC9AL+AwgDEwMeAykDMwM7A0IDRQNGA0MDPgM5AzUDNAM3Az8DSwNaA2sDfQOOA54DrAO4A8EDyAPLA8wDywPKA8kDzAPSA90D7AP+BBAEHwQqBDAEMAQuBCoEKAQpBC8EOQRFBFMEYARsBHYEfgSFBIwEkgSXBJoEmwSZBJUEjgSFBHsEcgRoBF8EVgRLBEAEMwQlBBcECQP+A/UD7gPrA+kD5wPmA+MD3wPZA9EDxwO9A7IDqAOdA5IDhQN3A2UDUQM5Ax0DAALiAsQCqAKOAngCZgJZAlACSgJGAkECOgIsAhYB9wHPAZ0BZgEqAO8AtwCDAFMAJv/6/8z/mv9j/yj+5/6j/l3+Fv3Q/Yz9S/0O/Nb8o/x3/FP8NPwa/AT77vvX+737n/t++1j7MPsE+tb6p/p4+kn6Hvn2+dX5u/mo+Zr5j/mD+XT5YPlF+ST5APjb+Lj4m/iG+Hj4cPhs+Gr4Zvhd+E/4Ofgf+AH34vfE96j3j/d592P3TPcz9xX29PbQ9qn2gvZd9jj2FvX09dP1sfWO9Wr1RPUe9Pb0zfSi9HT0Q/QP89nzo/Nw80TzH/MD8u/y4fLW8svyvfKq8pLydfJV8jTyFPH18djxvPGg8YXxavFO8TPxGPD+8Obwz/C58KXwkfB+8G3wXvBR8EfwP/A58DTwL/Aq8CbwI/Ai8CXwLfA48EjwWvBu8ILwlvCo8LvwzfDg8PTxCfEd8TDxQPFO8VnxYfFn8WzxcfF28XvxgfGH8Y7xlPGb8aPxq/Gz8bzxxPHN8dXx3vHn8fLx/fIL8hvyLvJC8lnycvKM8qfywfLZ8uvy9/L98vvy9PLt8ujy6vL28wzzKvNN82/zjvOk87LzuPO888HzzPPh8//0J/RW9Ib0t/Tl9RD1OPVg9Yf1sfXb9gf2MvZb9oL2qPbN9vP3HfdK93v3r/fm+B/4V/iP+Mb4//k5+Xb5tvn5+j/6hvrN+xT7WPua+9n8FvxO/IT8tfzi/Qv9MP1T/Xf9of3T/hH+Xv67/yP/kwAEAG4AyQERAUQBZQF5AYkBnwHGAgUCXwLVA2ED+gSWBSkFqwYVBmYGngbEBt8G9gcPBy4HUwd9B6oH1Qf/CCcIUAh/CLcI+wlKCaAJ+QpMCpEKxArgCucK3grKCrQKogqZCp0KrgrLCvMLIwtbC5oL4AwsDH8M1g0wDYsN5Q48Do8O4A8vD34PzRAbEGkQtBD7ETwRdxGrEdoSBRIvElgSgBKmEskS5xL9EwsTDhMIEvgS3xK/EpgSbBI7EgoR2RGuEYsRdRFsEXQRiRGsEdkSDRJHEoUSxhMME1YTpBP1FEYUlhTiFScVZRWZFcQV6BYDFhgWJBYqFigWIhYYFg8WCRYLFhYWKxZJFm4WlRa7FtwW9hcJFxUXHRckFysXNhdHF14XfBehF8sX+hgpGFkYhBiqGMoY4hjzGQAZCxkVGSEZLxlAGVMZZRl3GYcZkxmdGaUZqxmyGboZwxnNGdcZ4hntGfkaBBoQGhwaKRo1Gj8aRhpHGkIaNxonGhQaARnyGecZ4RnfGd4Z2hnPGbkZmhlyGUQZFhjsGMkYrRiZGIoYexhrGFUYOxgcF/kX0xetF4YXXxc3Fw8W5xbAFpwWexZfFkYWMBYbFgUV7BXQFbAVjRVqFUYVIxUCFOQUyRSwFJwUihR9FHIUaRRgFFYUSxQ9FC8UHxQRFAUT+xP0E+4T5xPfE9gTwhOnE4gTZxNDEx0S9RLKEpsSaxI5EgcR1xGtEYkRbBFXEUYROREqERYQ/RDcELYQjRBkEEAQIRAKD/oP7w/nD+EP2Q/RD8gPwA+5D7IPqw+hD5IPew9dDzYPCQ7ZDqcOeA5LDiMN/A3XDbANhg1XDSYM8wy/DI0MXww2DBML9gvdC8cLswufC4oLcwtZCz0LHQr6CtMKqQp6CkgKEgnZCZwJXQkdCNwInQhgCCYH8QfBB5cHcgdTBzkHIwcRBwQG+QbyBu0G6gbqBusG7QbuBuwG6QbiBtoG0gbMBsoGzgbYBugG+gcMBxgHHAcWBwUG7AbOBq8GlAaBBnYGdAZ6BoQGkAacBqcGrwa0BrgGvAa/BsMGxwbNBtEG1QbWBtMGyga7BqMGhQZfBjYGCQXcBbEFigVmBUYFKQUQBPoE5gTWBMgEvQSyBKYEmASGBG4EUQQwBAwD6QPHA6kDjgN4A2UDUwNDAzMDIgMSAwMC9QLnAtsCzgLCArYCqQKdApMCjAKHAoUChQKGAoYCgwJ8Am4CWQI9AhoB8QHDAZMBYgEzAQYA3QC4AJcAeQBeAEQALAAWAAT/9v/r/+T/3f/U/8P/q/+J/2D/Nf8M/u7+3v7f/vD/D/80/1n/eP+N/5X/kf+B/2f/Rf8c/u3+uv6D/kv+E/3f/a39f/1T/Sb89/zF/JD8XPwr/AL74/vN+8D7t/ut+5/7ivtt+0z7KvsL+vD63PrN+sL6t/qp+pf6gvpq+lH6N/oe+gX57PnR+bb5mvl++WX5T/k9+S/5I/kW+Qj49vji+Mz4tvii+JL4hfh8+Hf4dPh0+Hb4eviB+Iv4lfie+KP4ofiX+IT4avhN+C/4FfgC9/f39vf8+AX4EPga+CH4Jfgn+CX4Ivge+Bj4DvgB9/D32vfA96T3hvdo9033NPcf9w73Afb39vH27vbt9u/28/b49v/3CPcS9xz3J/cw9zb3N/cx9yP3DPbv9sv2pfaB9mD2R/Y29i/2L/Y19j/2SPZQ9lP2UvZN9kX2PPY09i/2L/Y19kD2UPZk9nn2jvag9q/2uPa69rT2p/aU9nz2YvZJ9jX2KPYl9i32QPZc9n/2pPbK9u33Dfcn9z33Tvda92T3a/dv93H3cvd093f3fPeG95X3qPe/99j38vgK+CL4N/hL+F/4cviG+Jz4sfjH+Nz47/kB+RL5Ifkw+T75SvlU+Vn5WPlS+UT5M/ke+Qn49/jq+OL44Pji+Of47fj1+P35BvkQ+Rv5KPk1+UH5S/lT+Vj5Wvlb+Vv5XPlc+V35Xvle+V75Xflc+Vz5XPlc+Vv5WflW+VP5UflU+V75dPmZ+cz6Dvpb+rH7C/tm+8D8F/xs/L39C/1T/ZX9z/3//iT+Pf5O/lr+Yv5q/nT+gv6T/qb+u/7Q/uf+/v8Y/zX/Vv94/5z/vv/e//kADwAhADAAPgBOAGAAdgCQAKwAyADjAPwBEAEgASwBNQE8AUMBTQFZAWsBggGdAbwB3QH+AhwCNgJKAlkCYwJqAm8CdAJ+AowCoAK8At4DBAMsA1IDcwOLA5gDmgOTA4YDegNzA3UDgQOXA7ADxwPVA9QDwgOeA20DNgL/AtICsgKiAqICrQLBAtgC7wMCAxIDHQMkAykDLAMuAzADMgM1AzkDQANJA1QDYANsA3YDfgOFA4kDjAOQA5QDmgOhA6kDsQO4A70DwAPAA74DuwO4A7gDvAPFA9QD5wP+BBUEKgQ7BEcETARNBEkERARABDwEOwQ6BDoEOQQ2BDAEKQQfBBMEBwP4A+kD2APIA7gDqgOeA5YDjwOIA34DbwNbA0EDIwMGAuwC2ALMAsgCxwLIAsYCwAK1AqYClgKIAnwCdAJuAmYCWwJLAjUCHAIDAe0B3AHUAdIB1gHcAeIB5gHoAegB5gHkAeMB4QHfAdoB1AHMAcIBuQGyAa4BrgGwAbYBvQHEAcwB0gHYAd0B4AHgAd8B3AHXAdMBzwHNAcsBywHJAcUBvQGxAaQBlwGMAYcBiQGQAZsBqAGyAbgBuQG2AbEBrgGvAbUBwgHUAegB/gISAiYCNwJIAlgCaAJ3AoUCkQKZAp8CogKjAqUCqQKvArgCwwLQAtwC6ALzAvwDBQMOAxcDIgMvAz0DSwNYA2QDbQNyA3MDcANqA2MDXANWA1QDVgNcA2YDcgOAA44DmwOmA7EDuwPEA80D1QPbA+AD4wPlA+YD6QPuA/YEAgQPBB0EKgQzBDgEOQQ4BDYENgQ4BD4ERgRRBFsEZQRtBHQEegSABIgEkQSbBKYErwS2BLsEvQS7BLgEswStBKcEoASXBIwEfgRuBF0ETAQ9BDIELAQrBC8ENgQ/BEcETARMBEYEOwQsBBkEBgPyA+ADzwPAA7EDogOSA4EDbwNbA0UDLwMYAwEC7ALaAssCvwK3ArECqQKeAowCcAJLAh0B6gG0AYABUAEnAQIA4QC+AJgAawA1//f/sv9m/xb+wv5r/hP9uf1g/Qv8vfx6/ET8Gvv9++r73PvP+8D7rPuS+3L7Tvsl+vr6zvqi+nf6T/or+g359vnl+dj5zPm++av5j/lq+T75Dfjd+LD4ivhu+Fv4UPhJ+EP4Ovgt+Bn4Affm98r3r/eX94L3bvdb90f3LvcR9u/2yfah9nn2U/Yu9gv16vXJ9aj1hfVi9T71GvT39NT0sPSK9GD0MfP988XzjfNX8yjzA/Lo8tfyzPLG8r/ytPKj8ozybvJL8ifyAvHf8b7xn/GC8WXxSPEq8Qzw7fDP8LLwl/B/8GjwVPBC8DHwI/AW8AzwA+/97/fv8+/w7+3v7O/t7+/v9e//8AvwGfAq8DvwTfBf8HHwhfCa8LHwyfDh8PjxDPEd8SrxNPE78UDxRfFL8VLxWvFj8W3xdfF98YTxifGO8ZLxlfGZ8Z3xo/Gr8bXxwvHS8ebx/fIY8jbyV/J68p7ywPLg8vvzDfMX8xfzD/MD8vjy8fLy8v3zEvMs80nzZPN484TzivON85HznPOy89Pz//Qz9Gr0ofTT9QD1J/VJ9Wr1i/Wu9dL1+fYh9kr2c/ad9sj29/cp9173l/fS+A34SPiB+Ln48fkp+WT5ovnk+ir6c/q9+wf7UfuZ+9/8I/xm/KX84f0Y/Uf9bf2M/ab9vf3Y/fz+Lf5t/rv/Ff9z/88AIwBqAKMA0AD4ASABUwGWAe4CXALeA24EBgSdBSkFpAYKBlgGjwa0BswG3gbxBwoHKQdRB30HqgfXCAIIKwhXCIgIxAkLCV4JuAoRCmMKpArQCuQK4grRCrgKnwqOCooKkwqrCtALAAs4C3kLwgwUDG4Mzg0zDZoN/w5fDroPDg9cD6cP8BA5EIIQzBEVEVwRnxHfEhoSURKEErMS3hMDEyITOBNFE0kTQhMzExoS+hLTEqQScBI2EfsRwhGQEWsRVhFUEWYRiRG4EfESLRJqEqYS5BMkE2gTsxQEFFgUrRT8FUMVfRWqFcoV3RXnFeoV6BXiFdkV0BXHFcAVvxXEFdMV6hYJFi0WUxZ5FpoWtxbPFuQW9hcJFx0XNhdUF3YXnBfHF/QYIhhOGHkYnhi+GNcY6xj6GQcZFBkiGTQZSBldGXMZhhmWGaMZrBmzGbkZwBnJGdMZ4BntGfsaBxoSGhsaIxoqGjEaNxo+GkQaSBpJGkYaPRowGiAaDhn+GfIZ6RnkGeAZ2xnPGbwZnxl6GU8ZIhj4GNQYuBijGJQYhxh6GGoYVRg7GB0X+hfTF6gXeRdHFxMW4BavFoUWYxZJFjYWKBYaFggV8RXTFa4VhhVdFTYVFBT4FOIU0BTBFLMUpBSVFIYUdRRlFFUURRQ4FCwUIhQbFBQUDxQKFAIT+RPrE8sTrhONE2kTQRMXEuoSvRKOEl8SMBIBEdQRqRGBEV4RQBEnERQRBBD2EOUQ0RC3EJkQeBBXEDgQHhALD/4P9Q/uD+gP4Q/ZD9EPyw/GD8MPwA+5D6sPkw9vD0EPCg7ODpIOWQ4mDfgNzg2mDX0NUQ0iDO4MugyGDFYMKwwIC+wL1gvFC7YLqAuXC4MLagtMCykLAgrZCqwKfgpNChoJ5AmrCW4JLwjuCK0IbggyB/sHyQedB3YHVAc4Bx8HCwb8BvEG6gbmBuYG5wbpBuoG6wbpBuYG4AbaBtMGzgbLBswG0QbcBuoG+gcJBxQHGAcTBwQG7QbQBrAGkwZ7BmsGZAZmBm0GeAaDBosGkQaTBpIGjwaLBokGiQaMBpEGmAaeBqIGoQaZBokGcgZTBi8GCAXiBbwFmgV8BWEFSAUxBRsFBgTzBOAEzwS+BKwElwR/BGMEQgQeA/kD1QOzA5QDewNlA1IDQQMyAyMDFQMIAv0C9QLwAu0C6gLnAuIC2gLPAsECsgKjApYCiwKDAn4CegJ2AnACZQJTAjoCGAHvAb8BjAFXASMA8wDIAKEAgABiAEYALAAU////7f/g/9f/0f/J/73/qf+N/2n/Qf8c/v/+8f70/wj/Kf9R/3f/lf+m/6b/lf91/0r/GP7h/qn+cf46/gf91/2r/YP9XP01/Qr83Pyo/HH8OvwH+9z7u/ul+5f7jvuF+3n7ZvtM+y77D/ry+tv6yfq++rX6rvqk+pb6hPpu+lb6PPoi+gj57fnR+bT5lvl5+V35Rfkv+Rv5CPj1+N/4xvir+I/4dfhf+E74Qvg9+Dz4P/hD+En4UPhY+GH4avhz+Hj4efhz+Gf4VPg8+CL4Cvf19+f33/fe9+L36Pfv9/b3+vf79/r39vfv9+X32PfH97L3mvd/92T3SPcu9xf3A/bz9ub23fbW9tL20PbR9tL21vba9uD26Pbw9vr3A/cM9xH3EvcN9wH27PbQ9q/2ivZm9kT2J/YR9gH1+PX09fX1+PX99gL2BvYJ9gv2C/YM9gz2DvYS9hn2IvYt9jj2Q/ZK9k72TPZE9jf2JfYQ9fr15PXT9cf1wvXG9dH15fX/9h72P/Zi9oT2pPbC9tz28fcC9w73FfcX9xf3FPcS9xP3F/ch9y/3Q/da93T3jvep98L32/fz+Az4JPg9+FX4bfiD+Jj4qvi7+Mr42Pjm+PT5AvkN+RT5FvkS+Qn4+vjq+Nn4zPjD+MD4wvjI+NH42vjj+Ov48/j8+Qf5Evkf+Sv5Nvk++UL5Q/lB+T35Ovk3+TX5NPk1+Tb5N/k6+T35QPlE+Uj5SvlM+U35T/lV+WL5efmc+c36CvpT+qT6+vtT+6z8A/xX/Kf88v01/XH9ov3I/eX9+v4J/hf+Jv46/lL+bv6O/q/+0f7y/xP/NP9X/33/pf/O//YAGgA4AE8AXwBpAG8AdQB9AIoAnACzAM8A7AEKASUBPgFSAWEBbAFzAXgBfAGCAYoBlwGoAb4B2AHzAg4CJwI8Ak0CWQJjAmsCdAJ/Ao4CoQK5AtYC9wMcA0EDZAODA5sDqQOvA64DqAOgA5sDmwOiA60DuQPEA8kDxQO3A6ADgwNjA0QDKgMXAwsDBgMHAw4DFwMjAy8DOwNGA00DUwNVA1YDVgNYA1wDZANvA3wDigOWA58DpQOpA6wDrwO0A70DyAPVA+ID7gP4A/4EAAP/A/wD9wP0A/MD9QP8BAcEFwQpBDwETQRaBGEEYgReBFcETgRHBEIEPwQ9BDsEOAQzBC0EJQQfBBkEFAQQBAsEAwP4A+oD2APFA7MDoQOQA38DbANXAz8DJQMNAvkC6wLjAuAC3gLcAtQCxQKwApkCggJwAmYCYwJlAmcCZQJbAkgCLgIQAfQB3QHQAcsBzgHVAdwB4AHhAd4B2QHTAc8BzAHLAckBxgHBAbsBtAGwAa0BrwG0Ab0BxwHRAdoB4gHoAesB7AHqAecB4gHdAdcB0gHOAcwBywHKAckBxQHAAbkBsgGrAacBpwGrAbEBuAG/AcMBxQHFAcQBxQHJAdEB3QHsAf4CEQIkAjcCSAJaAmwCfQKNApwCqAKwArUCuAK5AroCvgLEAs4C2wLqAvoDCQMWAyIDLQM3A0MDUANeA20DfQOLA5YDnQOfA50DlwOOA4YDfwN7A3wDgQOJA5QDngOoA64DswO1A7gDuwPAA8kD0wPfA+wD+AQDBAwEFAQbBCIEKgQyBDkEPwREBEYERwRHBEgETARSBFsEZQRwBHoEgQSFBIcEiASJBI0ElASeBKwEuwTJBNYE4ATnBOoE6wTrBOkE5QTfBNYEyAS3BKIEjAR3BGUEWgRXBFwEaAR4BIkElwSfBKAElwSIBHIEWAQ9BCMEDAP3A+QD1QPHA7sDrwOiA5MDgQNsA1MDNwMbAwAC6QLWAscCvAKxAqICjgJxAk0CIwH2AcwBpQGFAWkBUAE2ARcA8ADAAIgARwAB/7T/Yv8K/qv+Rv3e/XX9Efy3/G38NfwO+/b76fvi+9r7zfu7+6H7gftc+zT7Cvrg+rf6kfpv+lP6PPoq+hv6DPn5+eD5vvmS+V/5KPjw+L74k/hx+Ff4RPg0+CX4E/f99+T3yPes95L3e/do91n3Svc69yb3DPbs9sf2nvZ09kz2JvYD9eP1w/Wj9YH1XfU59RP08PTN9K30jPRp9EL0FvPk863zdvNC8xTy8PLW8sbyvfK48rPyqvKa8oLyYvI88hLx5vG88ZTxb/FO8S7xD/Dw8NDwsPCP8HDwU/A58CLwDu/87+3v3u/Q78Tvue+x76zvqe+q76zvsO+277vvwu/K79Tv4O/t7/7wEPAk8DrwUvBr8IXwn/C58NDw5fD18QLxC/EQ8RXxGfEe8SbxL/E58UTxTvFW8VzxYPFi8WPxY/Fk8WbxafFv8XjxhPGU8ajxwfHd8f/yJPJM8nbyoPLH8unzA/MU8xrzF/MN8wHy9vLw8vPy/vMQ8yXzO/NM81jzX/Nk82vzePOO87Dz3PQQ9Ef0fPSu9Nn0/fUd9Tr1VvV19Zb1u/Xi9gv2NvZk9pP2xfb79zX3cfew9+/4Lvhs+Kj44/ke+Vr5mPnZ+h36Y/qr+vT7PfuG+8/8Gvxl/LH8/P1C/YH9tv3f/fv+D/4f/jH+Sf5t/pz+1/8Y/1z/nv/cABYAUACNANMBJwGKAf4CgAMLA5sEKgSyBS4FmwX2Bj0GcgaVBqsGugbIBtwG9wcdB0wHgAe1B+gIFghCCG8IoAjbCSEJcQnICh0KaQqlCswK3QrbCs0KuQqmCpsKmwqnCr4K4QsOC0YLiAvWDC8Mkw0ADXIN5A5TDroPGA9tD7sQAxBJEI8Q1hEgEWsRtxIBEkkSixLIEv0TKRNME2UTdBN5E3UTaRNVEzkTFRLpErUSehI6EfkRvRGLEWoRXRFnEYURsxHtEioSaBKhEtcTDBNDE4ATxRQTFGYUuRUGFUgVexWdFa8VsxWvFaYVmxWRFYkVhBWDFYUVjRWbFa8VyxXsFhAWNxZcFn4Wnha6FtUW8BcNFy0XUBd3F6EXzBf5GCUYTxh3GJsYuhjTGOcY9xkEGRIZIBkyGUUZXBlyGYgZmxmrGbcZwRnKGdIZ3BnnGfMaABoMGhcaIRooGi4aMxo3GjoaPBo+Gj8aPxo9GjgaMRonGhoaDBn+GfAZ5BnaGc8ZwxmzGZ0ZgRleGTgZERjtGM4YtximGJoYkRiHGHoYaBhSGDUYFBfsF78XjBdUFxoW4BaqFnwWWBY+FiwWHhYQFf4V5BXCFZkVbBU/FRcU9xTeFMwUvxS1FKsUnhSQFH8UbhRdFE4UQhQ5FDMULhQqFCUUHhQVFAgT+BPjE68TkBNuE0cTHRLuErwSiRJWEiQR9BHGEZoRbhFEER0Q+RDcEMYQuBCwEK0QqhCkEJoQihB1EF4QRxAyEB8QDxABD/YP6w/jD90P2g/bD9wP3A/WD8UPpw96Dz8O+w6yDmoOJw3sDboNjg1nDUENGAzsDL0MjAxbDC4MBgvmC80LuwuvC6ULmwuOC30LZQtGCyEK9wrJCpgKZgozCf8JyQmQCVQJFQjUCJMIVAgZB+MHsweJB2UHRQcqBxMHAQb0BuwG6QbrBu8G9Qb5BvoG+AbyBusG4wbbBtUG0gbRBtQG2QbhBuoG9Ab9BwMHBQcABvQG4AbHBqsGjgZ2BmQGWgZYBl0GZQZtBnQGeAZ3BnIGagZhBlgGUgZOBk4GUQZVBlkGWwZYBk8GPwYpBg4F8AXTBbcFngWIBXYFZQVUBUMFMQUeBQkE8wTcBMQEqgSOBG8ETwQuBA0D7QPPA7QDmwOFA3EDXQNLAzkDKQMcAxIDDQMLAwwDDwMQAw8DCAL9AusC1gK9AqUCjwJ9Am8CZQJeAlgCUAJEAjICGAH2Ac0BnQFqATcBBADWAKwAhgBkAEYAKwAT////7v/h/9j/0f/H/7n/o/+E/1//Nv8Q/vX+6f7v/wf/K/9V/3r/lP+c/5D/cf9D/wv+zv6S/lj+JP30/cn9ov19/Vj9M/0L/N78rfx4/EH8C/vb+7P7lvuC+3b7b/to+177Tvs4+x77A/rp+tP6wvq1+qz6pPqa+o36ffpo+lH6N/oc+gD55PnH+an5jPlv+VL5N/kc+QL45/jK+K34jfhv+FL4Ofgm+Br4FPgV+Br4Ivgq+DL4OPg9+EH4RPhG+Ef4RvhC+Dv4L/gf+Az39/fj99H3w/e697b3t/e798L3yPfO99H3z/fI97z3q/eU93r3XvdB9yb3DPb39uT21vbK9sH2uva19rH2rvas9qz2rfav9rP2uPa/9sf20fba9uH25fbj9tv2y/az9pb2dPZR9i32DfXw9dj1xfW49bD1rfWv9bX1vfXG9c/11vXb9d713vXe9d/14PXh9eP14/Xg9dn1zvW99ar1lPWA9W71YvVb9Vv1YvVu9X/1lPWr9cT13vX59hX2MvZO9mj2gPaT9qH2qvau9q32q/ao9qj2rPa09sL21Pbr9wT3H/c791j3dfeS97D3zffq+AX4Hvg1+Er4W/hr+Hr4iPiX+Kb4tfjC+M340/jT+M74w/i1+Kb4mviS+I/4k/ic+Kj4tfjD+ND43fjp+Pb5A/kQ+Rv5Jfkr+S35LPkp+ST5IPke+R75H/ki+Sf5LPkz+Tr5Q/lM+VX5Xvlm+W35dfl9+Yr5nvm5+eD6EPpL+o761/sk+3T7xfwV/GL8qfzq/SH9Tf1u/YX9lf2g/az9vP3R/e/+FP4//m3+nv7P/wH/M/9l/5j/y//8ACgATwBuAIQAkgCZAJ4AoQCnALIAwgDYAPEBDgErAUgBYwF8AZMBpgG1AcEBygHQAdUB2gHhAekB8wH/Ag0CGwIqAjkCSgJbAm4CgwKYAq4CwwLXAusC/gMSAykDQgNeA3sDlgOuA8ADywPQA88DzAPIA8UDxAPGA8gDygPJA8YDvwOzA6UDlQOEA3MDZANYA1ADTwNSA1oDZANwA3sDggOHA4kDigOMA5ADlwOhA64DuwPGA88D1gPcA+ID6QPzA/8EDQQbBCgENAQ8BEIERQRHBEkESQRKBEsETAROBFIEWARgBGgEcAR1BHYEcgRrBGEEVgRNBEYEQQQ9BDkENAQtBCUEHgQZBBgEGwQfBCMEJAQfBBID/wPmA8sDsAOXA4EDawNWA0EDLQMZAwkC/QL2AvMC8ALqAt8CzQK2ApsCgwJyAmgCaAJsAnACbwJlAlACMgIQAfAB1gHHAcIBxQHMAdIB0wHPAccBvQGzAa4BrAGtAbEBtAG1AbUBswGyAbQBuAHAAcoB1QHeAeUB6QHpAegB5QHiAd8B3AHYAdMBzgHIAcMBvgG6AbkBuQG7Ab8BwwHJAc4B0gHWAdkB2gHbAdoB2QHZAdkB2wHfAeUB7QH2AgECDAIZAicCNwJIAloCbAJ/Ao8CnAKmAq0CsgK1ArkCvwLHAtMC4gLzAwUDFgMnAzYDRQNTA2EDcQOBA5EDoQOuA7cDvAO8A7kDswOsA6YDpAOlA6sDtAO+A8gD0APUA9UD0wPPA80DzQPRA9sD6gP8BBAEJAQ2BEUEUQRaBGAEZARnBGgEaQRqBGoEagRsBHEEeASDBJEEoASvBLsExATIBMcEwgS8BLYEtAS3BL4EygTYBOYE8wT9BQUFCQULBQwFCwUIBQIE+AToBNMEugSfBIYEcgRlBGIEZwRzBIMEkgSdBKIEnwSVBIUEcARZBEAEKAQRA/sD5wPUA8QDtQOnA5gDhwNxA1cDOAMWAvMC0gK3AqICkwKJAn8CcgJgAkcCKAIGAeMBwwGoAY8BeQFgAUMBIAD0AMIAigBOAA3/yP97/yf+yP5i/fb9i/0n/ND8ivxY/Df8I/wY/BD8Bfv1+9/7wvue+3f7Tfsh+vb6zvqo+oj6bPpU+j/6KfoQ+fH5y/mf+W35OfkG+Nb4q/iG+Gb4Svgv+BP39ffW97X3lfd39133R/c39yn3HfcP9vz24/bE9p/2dvZL9iL1+/XY9bf1mPV59Vj1NvUS9O/0zfSt9I30bvRM9CXz+vPJ85TzX/Ms8wHy3vLG8rfysPKs8qjyn/KQ8nfyVvIs8fzxyvGX8WbxOvES8O7wzfCt8I3wbfBM8C3wD+/0793vyO+276Xvle+F73bvau9g71zvXe9j72vvdu+A74nvke+Y75/vqO+178bv2+/08A/wLPBJ8GXwgPCZ8K/wwvDR8Nzw4/Do8Ovw7vDx8Pbw/vEG8Q/xGPEg8SXxJ/Eo8SfxJvEm8SfxKvEw8TjxQ/FS8WTxevGV8bTx1/H+8ijyUfJ68p7yvPLS8uDy5PLi8t3y1vLT8tXy3fLr8vvzDPMb8yfzMPM480LzUfNo84fzr/Pb9Av0OfRk9Iv0rvTN9Oz1C/Ut9VH1ePWh9c31+vYp9lv2kPbI9wP3QveE98f4C/hP+JL41fkY+Vv5nvnh+iT6Z/qq+uz7L/ty+7n8BPxU/Kj8//1V/aX97P4l/k/+a/5+/ov+mP6p/sL+4v8I/zH/Xf+L/7//+wBFAKABDgGMAhYCpwM4A8IEQwS3BR0FdgXBBf4GLQZQBmgGegaKBp4GuwbjBxcHUweSB88IBgg1CF4IhwizCOgJKAlzCcUKFgpfCpoKwwrZCuAK2wrPCsQKvQq+CscK3Ar8CygLYQuoC/0MXwzMDUANtg4rDpsPAg9hD7UQAxBLEJIQ2hEkEXIRwhISEmASqRLpEyATShNqE38TihONE4kTfhNrE1ATKhL6Er8SfBI0Ee8RsRGDEWoRaRGAEawR5xIpEm0SrRLnExwTThOCE7wT/BRDFI0U1BUUFUYVZxV5FX0VdhVrFV8VVRVRFVIVWBViFXAVgRWXFbEVzxXxFhYWOxZgFoQWphbGFuUXBRcmF0oXcBeYF8IX7BgXGEEYahiQGLMY0RjqGP8ZDxkcGSgZNBlCGVMZZBl3GYoZmxmqGbgZxhnTGeAZ7Rn5GgQaDBoTGhcaHBohGiYaLRozGjkaPRo9GjoaNBosGiEaFhoJGfwZ7xngGdIZwxm0GaQZkxmAGWoZTxkyGRIY8xjXGL8YrRigGJcYjxiGGHoYaRhTGDgYFxfxF8YXlRdfFycW8Ba8Fo8WaxZPFjsWKRYXFf8V3xW3FYkVWRUpFP4U2xTAFKwUnRSRFIcUexRvFGMUVxRNFEUUPxQ8FDkUNhQwFCgUHBQME/kT4xPKE5ETdRNXEzMTCRLaEqcScRI7EgYR1BGkEXQRRREVEOgQvxCeEIgQfxCDEJAQohCyEL0QvxC3EKYQjxB0EFoQQRArEBgQCQ/9D/YP8g/xD+8P6Q/bD8IPmQ9iDx4O0g6DDjcN8g22DYMNWQ0zDQ8M6gzDDJsMcQxIDCEL/gvhC8oLuAurC6ILmAuNC30LZgtICyIK9grECo8KWgojCe0JtQl7CT8I/wi+CHwIPAgAB8oHmgdxB00HLwcVBv8G7wbkBt8G4QboBvIG/AcDBwYHBAb+BvUG6wbkBt4G3AbcBt4G4QblBukG7AbwBvIG8gbuBuUG1Qa/BqUGiwZyBl8GUwZPBlAGVgZcBmAGYQZeBlYGSwY+BjAGJAYaBhMGEAYOBg8GDwYNBgkGAAXyBeEFzgW6BacFlgWIBXwFcAVlBVgFSAU3BSIFCwT0BNoEwASmBIsEcARVBDkEHwQEA+oD0QO4A58DiANyA2ADUQNHA0EDQANBA0QDRgNFA0ADNQMkAw0C8gLUArUCmAJ/AmkCVwJHAjoCLAIdAgoB8wHXAbUBjwFlATkBDADgALYAjwBrAEsALwAXAAP/9P/p/+D/1//K/7b/mf90/0n/Hf74/t/+2f7m/wT/Lf9Y/3z/j/+O/3f/Tf8U/tX+lP5X/iD97/3E/Zz9dv1P/Sb8+vzL/Jn8Zvwz/AP71vuw+5P7fftv+2b7X/tY+077QPst+xf6/vrm+s/6u/qp+pr6i/p9+m36W/pH+jH6Gfn++eP5yPms+ZH5dvlb+T/5IvkF+Ob4xfik+IL4YvhF+Cv4FvgH9/73+vf8+AH4CPgP+BX4Gfga+Bj4FfgQ+Az4B/gD9/73+ffw9+X31vfE97H3n/eP94T3f/d/94X3jPeV95r3m/eW94r3dvdd90H3IvcE9un20fa89qz2oPaV9o32hvaA9nz2efZ49nj2evZ+9oP2ifaQ9pj2ovar9rT2u/a99rn2rfab9oH2Y/ZB9h31+vXY9br1n/WK9Xv1cfVu9XH1efWC9Yz1k/WX9Zj1lvWS9Y31ifWG9YL1ffV19Wn1WfVF9S/1GvUH9Pr08/Tz9Pn1BfUV9Sf1O/VP9WT1efWP9ab1vvXX9e/2BvYZ9ij2MfY39jn2OfY59jr2PvZH9lP2ZPZ49pD2q/bJ9uj3Cfcr90z3bfeM96n3xPfc9/L4BvgY+Cn4OvhK+Fr4a/h6+Ij4kviW+JT4i/h9+G34XvhS+Ev4TPhT+GD4cfiD+Jb4qPi6+Mv43Pjs+Pn5BPkM+Q/5EPkP+Q75DvkQ+RT5G/kk+S75OPlD+U75W/lp+Xf5hvmU+aH5rPm2+cH5zvnf+fj6F/o/+m/6pvri+yL7Zvuq++78L/xq/J38xvzk/Pj9A/0I/Q39FP0j/Tv9Xv2L/cH9/v5A/oT+yP8M/07/jv/KAAAAMABYAHgAkQCkALMAwQDQAOIA9gENAScBQQFcAXcBkQGqAcMB2wHyAgcCGAIlAi4CMwI0AjQCMgIwAjECNAI7AkgCWgJyApACsALRAvADCgMdAykDLwMyAzcDQANQA2cDhQOmA8YD4QP0A/4EAAP7A/MD6wPkA+ED4QPjA+cD6gPrA+gD4APUA8QDsgOhA5IDiAOFA4YDjQOXA6IDrAO0A7sDwAPFA8wD1QPgA+sD9wQCBAwEFgQfBCkENQRCBFAEXARnBG4EdAR3BHsEfwSEBIsEkgSYBJsEmwSYBJQEjwSLBIkEiASHBIQEfgR1BGoEXgRUBEwERgRDBEAEPAQ1BC0EJQQfBBsEGwQdBCAEHwQZBAwD9wPeA8IDpwOPA3sDaQNZA0kDOQMpAxoDDgMGAwEC/QL4Au8C4ALNArcCogKRAoUCfwJ8AngCbQJZAjsCFwHyAdABuAGrAagBrQG0AbkBtwGwAaQBlwGMAYcBiAGPAZkBowGrAa8BsgG0AbcBvAHFAc8B2AHgAeQB4wHgAdsB1gHTAdMB1AHWAdgB1wHTAcwBxAG8AbYBtQG5AcIBzwHeAewB9wH/AgICAQH9AfkB9QHyAfIB8wH2AfgB+gH8Af4CAQIGAg8CGgIpAjoCTAJeAm8CfgKKApQCnAKjAqoCswK9AsoC2gLrAv4DEgMlAzkDTANgA3MDhgOZA6oDuAPDA8kDywPJA8QDvwO7A7oDvgPFA9AD3APoA/ID+AP7A/sD+QP4A/kD/wQJBBgELARBBFcEagR7BIcEjwSTBJYEmASaBJ0EoQSmBK0EtAS8BMYE0gThBPMFCAUdBTAFPwVGBUYFPgUwBR8FDQT+BPUE8QTzBPgE/QUCBQUFBgUGBQUFBAUEBQIE/gT2BOcE0wS7BKEEiARzBGQEXARaBFwEXwRhBGEEXQRVBEoEPAQtBB0ECwP3A+IDywO0A50DhwN0A2EDTQM3Ax0C/wLdAroClwJ5AmICUQJHAkACOgIwAiECDAHzAdkBvgGlAY0BdgFcAT0BGADtAL0AigBWACD/6P+s/2n/Hf7H/mn+B/2o/VD9BPzI/Jv8e/xk/FP8Qvwu/BX79/vU+6z7gPtS+yT69/rM+qT6fvpc+jv6Gvn4+dT5rfmE+Vr5MfkI+OD4uviV+HD4S/gl+AD32ve195H3b/dQ9zT3HPcI9vj26fbb9sn2s/aX9nX2TfYj9ff1zvWn9YT1ZPVH9Sr1DfTw9NP0t/Sb9H70X/Q89BTz5/O184DzTfMd8vXy1vLB8rTyrPKn8qHylvKE8mnyRPIY8eTxrfF28UHxEfDm8MDwnfB98F3wPPAb7/nv2e+876Hviu9172LvT+897y3vIO8Y7xbvG+8l7zPvQ+9R713vZe9s73Lveu+H75jvr+/J7+bwAvAe8DfwTfBi8HTwhPCS8J7wp/Ct8LHws/C18Ljwu/DB8MfwzvDU8Njw2/Dd8N7w3vDg8OXw6/Dz8P3xCvEY8SnxPPFS8WzxifGo8cnx6vIK8ijyQ/JY8mnydfJ98oTyivKT8p7yrPK78svy2/Lo8vLy/PMG8xPzJPM881nze/Og88Xz6vQM9C30TPRs9I70svTY9QD1KvVV9YH1r/Xg9hP2S/aG9sT3BvdL95L32/gm+HP4wvkR+V/5rPn2+jz6fvq7+vX7Lvto+6b76/w5/JD87f1O/a3+BP5O/oj+s/7Q/uP+8P79/wv/G/8t/0H/WP90/5v/0AAaAHwA9QGBAhkCswNHA80EQQSiBPQFOAVyBaQFzgXyBg8GJwY+BlgGeQakBtsHGgdeB6EH3ggRCDsIXwiDCKsI3gkcCWUJtQoGClIKkQrCCuIK8wr3CvQK7wrsCvAK/gsZC0MLegvADBMMcAzVDT8NrA4aDoUO6w9LD6UP+BBHEJIQ3REpEXcRxhIWEmMSqxLqEx8TSBNnE3wTixOTE5UTkBOCE2cTPhMGEsISdhIoEeERqRGGEX4RkRG7EfkSQhKQEtsTIBNdE5QTxxP4FCsUYBSWFMkU9xUbFTIVPhU+FTcVLRUkFSAVIRUqFTkVTBViFXkVkRWrFcYV4xYEFiYWSxZwFpUWuhbeFwIXJBdHF2oXjRexF9UX+RgfGEYYbRiUGLoY3Rj6GRIZJRkyGTsZQxlLGVUZYBluGX0ZjRmdGa4ZvxnQGd8Z7Rn3Gf0aABoBGgEaAxoIGhIaHxotGjoaQRpCGjsaLRoaGgQZ7hnaGcgZtxmoGZoZixl8GWwZWxlIGTQZHhkGGO0Y1Ri/GK0YnxiUGIwYhBh7GG4YXRhHGCwYDRfpF8EXlRdmFzYXBhbaFrIWkRZ1FlwWRBYpFgkV4RW0FYIVThUdFPAUyhSsFJMUgBRxFGUUWhRSFEsURRRBFD8UPBQ5FDUULhQkFBYUBBPwE9oTwhOqE3ITWxNCEyQTABLWEqYSdBJAEgwR2RGnEXURQhEOENwQrxCNEHgQdBCAEJgQtxDWEO8Q/RD+EPMQ3xDFEKkQjhB0EFwQRxA0ECMQFRAGD/YP4Q/FD58Pbg8yDu8Opw5fDhsN3A2kDXENRA0ZDPEMygylDIEMYAxBDCYMDQv2C+ML0QvCC7MLpQuUC38LZQtCCxgK5wqxCncKOwn+CcIJhglJCQoIygiICEcICQfPB5sHbgdIBygHDgb3BuYG2AbQBs4G0QbaBuYG8gb9BwMHBAcBBvsG9AbvBuwG6gbrBusG7AbsBuwG7QbuBu8G7wbrBuMG1Aa/BqYGigZwBlsGSwZDBkEGQQZDBkMGQAY5Bi8GIwYWBggF/AXwBecF4AXbBdcF1QXSBc4FyAXABbUFqQWcBZAFhQV8BXMFaQVfBVMFRQU0BSEFDAT3BOIEzAS4BKMEjwR7BGYEUAQ4BB0D/wPhA8MDpwOQA38DdgNyA3UDegN/A4MDggN7A24DWgNBAyQDBALjAsQCpQKJAm4CVQI9AiUCDQH1AdsBwQGmAYoBbAFNASwBCQDlAMEAnAB5AFgAOwAiAA7//v/y/+j/3P/L/7L/kf9o/zv/Ef7v/tz+3P7v/xH/O/9i/37/h/96/1j/JP7n/qX+Zv4t/fr9zP2i/Xn9Tv0h/PD8vfyI/FT8I/v1+877rPuS+377cPtl+137VPtL+z77MPse+wv69fre+sX6rPqU+nv6ZPpO+jn6JfoQ+fr54/nK+bH5mPl/+Wb5Tvk2+Rz5APji+ML4ofiB+GL4R/gv+Br4CPf59+335Pfe99z33ffg9+T36Pfp9+f34vfb99P3zPfG98P3wve/97v3svel95P3f/dr91r3TvdJ90n3TvdU91n3W/dW90r3OPcg9wX26PbL9rH2mvaH9nf2afZd9lL2SfZB9jv2N/Y39jr2QPZH9k/2V/Zf9mf2b/Z39n/2hvaL9ov2hvZ79mn2UvY19hb19fXT9bP1lPV49WD1TvVC9Tv1OvU89T/1QfVC9UD1PPU39TL1LfUp9SX1HvUV9Qj0+PTl9NP0wvS09Kz0qPSp9K/0uPTD9M/03vTt9P71EPUk9Tn1T/Vk9Xn1jPWc9an1svW49bz1v/XD9cj1z/XZ9ef1+PYN9iX2QfZg9oH2pPbH9ur3C/cq90j3ZPd/95j3sPfH99v37vgA+BL4I/gz+EH4TfhT+FP4TPg/+C74HPgM+AH3/vgC+A34HPgv+ET4Wfhu+IP4mfiu+ML41Pji+O349Pj5+P35A/kL+RX5Ivkx+UH5UPlf+W75fvmO+aD5sfnD+dP54fnt+fj6AvoP+h76M/pO+m76lPq++u37HftP+4H7svvg/An8KvxB/E/8U/xR/Ev8SPxL/Fj8dPye/Nb9GP1i/bD9//5M/pf+3/8k/2X/ov/bAA4APQBmAIoArADNAO0BDQEuAU4BbQGKAaYBwAHZAfICDAIlAj4CVAJnAnUCfQJ/An0CdwJxAm0CbAJwAnoCjAKkAsIC5QMJAyoDRwNcA2gDbANqA2cDZgNrA3kDkAOuA88D7wQKBB4EKQQsBCgEIQQZBBMEDwQPBBAEFAQWBBcEFAQNBAID8wPjA9MDxQO7A7YDtQO5A8ADyQPUA98D6wP4BAUEEwQgBC4EOQREBE4EWARjBG8EfQSKBJYEoASnBKoEqgSpBKoErQS0BLwExQTLBM4EywTEBLsEsQSoBKEEnQSaBJYEjwSGBHoEbQRiBFsEVwRXBFkEWgRYBFIESAQ8BC8EIwQYBA4EAgP1A+MDzwO6A6QDkgODA3cDbgNmA10DUQNEAzUDKAMdAxYDEQMMAwYC/ALuAt0CygK5AqkCmwKNAn0CZgJJAiUB/gHYAbgBogGYAZcBnAGjAaYBogGYAYoBfAFwAWsBbgF2AYIBjwGZAaABpAGmAagBrAGzAbsBxAHMAdAB0gHQAc4BzAHMAdAB1gHeAeYB6wHsAekB4gHZAdEBzAHNAdUB4gHzAgUCFAIfAiQCIwIeAhgCEwIPAg4CDwIQAhECEQIPAg0CDAIMAhACGAIjAjACPgJNAlsCaAJ0An8CigKVAqECrAK5AsgC2ALpAv0DEgMoAz8DVgNuA4UDmwOwA8EDzgPWA9gD1QPPA8gDwgPAA8IDyQPVA+MD8QP9BAYEDAQQBBMEGAQfBCsEPARQBGcEfQSQBJ8EqQSsBKwEqQSmBKYEqwS3BMkE3wT4BRIFKQU9BU8FXwVwBYMFmAWwBckF3gXtBfIF6wXZBb4FnwV+BWIFSwU6BS8FJgUfBRcFDgUFBP0E9gTzBPEE8QTvBOsE4QTTBMIErgSZBIUEdARkBFUERwQ4BCgEFwQGA/YD5gPYA8kDuwOqA5cDggNrA1MDPAMlAxAC+wLlAs0CsQKSAnECUAIyAhoCCAH9AfYB8QHsAeQB2AHJAbcBowGOAXkBYQFGASUA/wDSAKIAcAA+AA3/3v+t/3n/P/7+/rX+Zv4V/cb9ff08/QT81vyw/I/8cfxU/DX8E/vv+8f7nftw+0P7Ffro+rv6jvpi+jX6CPnb+a/5hfle+Tv5Gvj7+Nr4uPiS+Gj4PPgQ9+X3vPeX93X3Vfc29xj2+/bg9sj2svag9o72evZi9kT2H/X29cn1nfV09VD1MPUW9P706fTV9MD0q/ST9Hn0W/Q39A3z3vOr83fzRvMb8vjy3fLL8r/ytvKs8p7yi/Jw8k3yI/Hz8b7xifFU8SLw9fDO8KrwifBp8EjwJO//79nvs++Q73DvU+867yTvD+797u3u4e7b7tvu4u7u7v7vEO8f7yzvN+8+70fvUe9e73Dvhu+d77Tvyu/c7+vv+PAE8BDwHfAr8DnwRvBR8FjwXfBg8GHwY/Bl8GnwbvB08HnwfvCD8IfwjfCU8J7wqvC58Mjw2fDq8PzxDvEh8TXxSfFe8XPxhvGY8anxuPHH8dXx5PH18gnyH/I38lDyafKA8pTypfKy8r3yyPLV8ufy/vMa8zrzXPN985zzuPPR8+n0A/Qe9D70YfSG9K301PT89ST1T/V+9bL16/Yq9m32s/b890j3l/fq+ED4m/j3+VX5r/oE+lH6lfrP+wL7MPtd+4/7yfwO/GD8vv0i/Yn97P5F/pD+yv72/xP/KP83/0L/TP9U/1z/Zf9z/4z/uP/7AFoA1AFlAgICogM6A78ELQSFBMgE/QUpBU8FcwWWBbYF1AXxBhAGNAZfBpMGzwcQB1MHkQfJB/gIIAhECGkIlQjKCQoJVAmlCfcKRgqLCsMK6wsDCxALFAsWCx0LLQtMC3sLuQwEDFkMtA0RDW8NzA4pDoUO4Q89D5cP7xBDEJQQ5BExEX8RzBIYEmESpRLhExUTQBNiE34TlBOkE60TrBOeE38TThMNEsASbxIjEeYRwBG1EcgR9hI5EokS3xMzE4ATxBP9FC4UWBR+FJ8UvRTXFOoU9xT9FPwU9xTwFOkU5xTqFPQVBRUbFTYVUhVvFYoVpRXAFdsV9xYWFjcWWxaBFqkW0hb6FyIXSBdtF48XsBfOF+wYCRgpGEoYbxiVGLwY4RkDGR4ZMhlAGUgZThlSGVgZYBlsGXoZixmcGa0ZvhnMGdkZ4hnnGekZ6BnmGeUZ6BnxGf8aERokGjMaPBo7Gi4aGBn7GdwZvRmhGYsZeRlqGV4ZURlEGTYZJhkUGQEY7BjXGMIYrRibGI0Yghh7GHYYcBhpGF4YThg5GB8YABfeF7kXkhdqF0IXHBb5FtkWuxaeFoEWYBY7Fg8V3xWqFXUVQRURFOYUwRShFIcUcRRhFFQUSxRFFEEUPxQ8FDgUMhQqFCAUExQDE/ET3hPJE7MTnROIE00TORMjEwoS7RLMEqYSfRJREiQR9hHHEZYRYxEuEPwQzxCsEJgQlhCjEL4Q4BECER4RMRE4ETQRKBEWEQAQ5xDNELEQlBB2EFcQOBAZD/gP1A+sD34PSw8TDtkOng5lDi0N9w3CDYwNVg0gDOwMvAySDHAMVgxBDDIMJAwXDAcL9gvhC8oLsAuTC3ILTAsfCuwKswp0CjIJ7QmpCWUJIgjgCKAIYAgjB+kHsgeCB1gHNQcaBwQG9AbnBtwG1AbPBs0GzwbWBt8G6QbzBvsG/wcABwAG/gb9BvwG/Ab8BvwG+gb3BvQG8QbwBvEG8AbtBuUG1gbBBqYGiQZsBlMGPwYyBioGJQYgBhoGEgYIBfwF8QXmBdwF1AXNBcgFwwW/BbsFtwWyBasFogWYBY4FgwV5BXAFaQViBVsFUwVJBTwFLQUcBQoE+ATnBNYExgS3BKkEmwSOBH8EbgRZBD8EIAP+A9sDuwOhA5ADiAOKA5IDngOoA60DqgOgA40DcwNVAzQDEwLzAtMCtQKYAnoCXQI9Ah0B/AHaAbkBmQF7AV8BRAEqAREA9wDcAL8AogCEAGcASwAxABsACP/4/+r/2v/H/67/jf9n/z//G/8A/vT++f8N/yz/Tf9o/3T/bP9Q/yP+6f6p/mr+MP38/c39ov15/U39IPzv/Lz8ifxW/CX7+fvS+7H7l/uE+3b7a/th+1f7S/s9+y37HPsK+vb64frK+rH6lfp4+ln6PPog+gb57fnW+b75pvmN+XT5W/lD+Sz5FvkA+On4z/iz+Jb4efhe+Eb4Mfgf+BD4APfv9973zPe897H3q/eq9673s/e597v3uPey96j3n/eY95T3lPeV95X3kveJ93r3ZvdQ9zr3KPcc9xb3FvcY9xz3HfcZ9xD3APbr9tL2uPae9ob2cvZh9lL2RvY69i32IfYU9gr2AvX/9gD2BfYN9hX2HfYk9in2LfYy9jf2PPZD9kf2SvZJ9kL2N/Ym9hD19/Xa9bv1mvV69Vr1PfUl9RL1A/T59PP07/Ts9On05/Tm9OX04/Tg9Nv00/TI9Lr0q/Sd9JH0ifSG9Ib0iPSM9I/0kvSU9Jb0mvSh9Kr0t/TH9Nn07PT+9RD1HvUr9TT1PPVC9Uf1TfVU9V31aPV29Yb1mfWw9cr16PYJ9iz2UPZz9pb2tvbT9vD3C/cm90D3Wvdz94r3n/ex98P30/fj9/H3/fgF+Af4A/f59+r32vfL98D3u/e998X30ffh9/P4Bvgc+DX4UPht+Iv4pvi/+NL44fjt+Pf5AfkO+R35MPlF+Vv5cfmF+Zf5qfm6+cz53vnw+gL6FPok+jP6QfpQ+mD6dPqK+qP6vvra+vj7Ffsz+0/7a/uF+537r/u8+8H7vvu1+6r7oPud+6X7vPvj/Bn8Wfyh/Ov9NP17/b7+AP5C/oT+x/8L/03/jf/JAAAAMwBkAJQAxAD1ASUBVQGCAasB0QHyAhECLgJKAmUCfQKSAqECqwKuAq0CqQKlAqICowKoArICwQLUAusDBgMiAz8DWgNzA4YDlQOdA6EDowOmA60DuQPKA+ED+wQVBCwEPwRLBFIEUwRRBEwERwRDBEAEQARBBEIEQwRCBD4ENgQsBB4EDwQBA/QD6wPmA+YD6wP1BAMEFAQnBDoETQReBGwEeASABIgEjwSYBKIErgS6BMYEzwTVBNgE2QTYBNgE2QTdBOIE5wTpBOgE4wTaBNAExgS9BLgEtQSyBK4EqASeBJIEhQR6BHMEcgR2BHwEggSEBIAEdQRkBE4ENAQbBAID6wPVA8IDsAOhA5UDjAOGA4QDggN/A3oDcQNlA1gDSgM+AzQDLQMnAyADFwMLAvwC6gLYAsUCtAKiAo4CdwJbAjsCGQH4AdwBxwG7AbYBtgG3AbYBrwGiAZIBgQFyAWgBZQFnAW8BeQGCAYkBjgGRAZMBlAGXAZwBogGqAbIBuQHBAccBzQHSAdkB4AHpAfEB+AH9Af8B/gH6AfUB8QHxAfYB/wINAh0CKwI2AjwCPQI6AjQCLgIqAikCKwItAjACMQIxAjECMAIwAjICNwI9AkUCTQJWAl8CaAJzAn8CjAKaAqkCuQLJAtsC7QMBAxYDLQNFA14DdwOQA6gDvgPSA+ID7APxA+8D6QPfA9UDzgPLA84D1wPjA/ID/wQLBBMEGAQcBCIEKwQ6BE4EZgSABJkErQS7BMEEvgS2BKsEowShBKgEvATcBQYFNwVoBZYFvAXYBewF+AYBBgsGGAYrBkEGWAZsBngGeAZsBlQGNgYTBfIF1AW7BacFlgWFBXMFXgVIBTIFHQUNBQAE+ATzBO8E6gTkBNwE0QTDBLQEowSPBHkEYAREBCYEBwPoA8sDsAOXA4EDbQNaA0gDNQMiAw8C/ALoAtQCwAKqApECdgJXAjcCFwH5Ad8BywG8AbMBrAGoAaIBmwGSAYcBegFrAVkBRQEsAQ0A6AC9AI4AXgAt//7/0f+l/3j/SP8U/tz+nv5d/hr92f2a/V79J/z1/Mb8mvxw/Ej8IPv5+9L7qvuD+1v7MvsK+t/6sfqB+kz6Ffnd+af5dvlM+Sj5Cfjt+M/4rfiF+Ff4Jvf098f3nvd79133P/ch9v/23Pa49pb2efZh9k32OvYl9gv16vXD9Zj1bfVF9SP1B/Tx9N/00PTB9LH0n/SK9HH0U/Qw9Abz2POm83XzR/Mg8wHy6vLa8s3yv/Ku8pXydvJP8iHx8PG88YnxWfEs8QTw4fDB8KLwhPBj8D/wGO/t78Hvlu9t70nvKO8M7vTu3u7L7rzusO6p7qjurO617sHuzu7c7uju9O7/7wvvGe8p7zzvT+9h73Hvfu+G74rvje+R75fvoO+t773vzu/e7+rv8+/47/rv++/87/7wAvAI8A/wF/Af8CjwMvA/8E7wYPB08InwnvCz8Mfw2vDs8P7xDfEb8SbxL/E08TjxPPFC8UvxWvFu8YnxqfHM8fDyE/Iy8k3yY/J28obyl/Kr8sXy5fMK8zHzWPN685fzrfO+883z3fPw9Aj0JfRE9GX0h/So9Mv08PUb9Uz1hfXE9gj2Ufac9uv3PfeV9/L4Vvi/+Sn5kfnz+kr6lPrR+wH7KftN+3L7nvvV/Br8bvzN/TT9m/3+/lb+oP7a/wX/I/84/0X/Tv9T/1f/XP9m/3v/o//jAD8AuAFIAegCigMjA6oEGARrBKcE0gTzBQ4FKgVHBWYFhgWmBcgF7AYVBkQGega1BvMHMQdsB6EH0gf9CCcIUwiDCLsI+wlECZMJ5go2Cn8KvArqCwoLHgsrCzgLTQtvC6EL5Aw0DI0M6A1DDZoN7Q4/DpEO5Q88D5YP8BBKEKIQ9hFIEZYR4hIrEnASsRLsEyATThN1E5YTsRPEE8wTxhOvE4UTSBL/Eq8SYxIlEf4R9BIJEjkSgBLUEy0TgxPRFBQUSRR0FJUUrhS/FMsU0BTPFMkUwBS1FKwUphSmFK0UuxTPFOgVBBUiFUAVXhV7FZcVshXOFesWChYrFk4WdBacFsYW8BcbF0QXbReTF7UX1RfzGA4YKBhCGF8YfhigGMQY6BkJGSYZPRlNGVgZXxllGWwZdhmDGZEZoBmuGboZwxnJGc0ZzxnPGc0ZyxnJGcgZyxnRGdwZ6Rn3GgIaBhoBGfIZ2hm8GZwZfBlhGUsZOxkuGSIZFxkJGPkY5hjSGLwYphiQGH0YbBhfGFYYUhhSGFMYVBhSGEwYQBguGBYX+RfZF7YXkxdxF1EXMxcYFv8W5RbJFqcWfxZPFhkV3xWkFWsVOBUKFOEUvhSfFIQUbBRYFEoUPxQ5FDUUMRQsFCQUGRQLE/sT6hPYE8YTsxOfE4sTdhNiEyoTExL9EuYSzxK1EpkSexJbEjkSFBHtEcMRlRFmETkRERDyEOEQ3xDrEQERHRE5EVARYBFnEWYRXxFRET8RKRENEOwQxhCeEHUQTBAkD/wP1A+qD34PUA8gDu8Ovw6PDl4OLA31DboNfA08DP4MxgyYDHYMXgxPDEUMPQwyDCMMDgvyC9ALqAt8C0oLEwrYCpkKVQoNCcMJdwkrCOAImAhUCBUH3AepB3wHVQc1BxsHCAb6BvEG7AbpBucG5gblBuQG5QboBuwG8gb4Bv4HAgcGBwgHCgcMBw4HDwcPBwwHBwcBBvkG8gbtBukG5gbhBtkGywa3Bp0GgAZjBkgGMgYgBhMGCAX/BfUF6QXdBdAFxAW6BbIFrQWqBakFqgWrBaoFqAWiBZgFigV6BWkFWgVNBUUFPwU7BTYFMAUmBRoFCgT6BOkE2QTKBLwErgSiBJgEjwSHBIAEdgRoBFUEOQQYA/IDzQOuA5gDjQONA5YDowOvA7cDuAOwA6ADigNvA1IDNAMVAvUC1QKzApECbAJGAh8B+AHQAaoBhAFhAT8BIAEEAOsA1AC/AKsAmACEAG8AWABBACoAFAAA/+z/2f/D/6v/jv9t/03/MP8c/xX/G/8s/0T/Wf9k/1//R/8e/uf+qP5o/iz99f3E/Zb9av0+/RH84/y1/Ij8XPwz/Az76PvI+637mPuI+3z7cvto+1z7Tfs5+yT7DPr1+t36xvqu+pT6d/pY+jj6GPn5+dz5wPml+Yr5bvlR+TX5GfkB+Or41vjD+K74mPiA+Gf4T/g5+Cb4F/gK9/737/fe98n3sved94v3gPd994H3iPeP95P3kveL94H3dPdq92P3Yfdj92X3Zfdg91P3Qfcq9xL2/fbs9uP24Pbi9uf26vbq9uT21/bD9qv2kfZ39mD2TfZA9jf2MPYp9iD2FPYF9fT15fXa9dT10/XX9d314/Xo9er16vXq9er17fXy9fr2AvYI9gz2C/YF9fn15/XQ9bX1lfVz9VD1LvUO9PL02/TI9Lz0tPSv9K/0sPSz9Lb0t/S09K70ovST9IP0dPRp9GT0Z/Rv9Hr0hvSQ9JX0lfSQ9In0gvR99Hv0f/SH9JL0oPSv9L70y/TW9N/05vTs9PL0+PUB9Qv1GPUn9Tn1TvVm9YH1oPXD9ef2DPYx9lP2c/aP9qn2wfbZ9vH3CPcf9zX3Sfdb92z3ffeN9533q/e197v3u/e196r3nveR94j3g/eD94j3kfee9673w/fd9/z4IPhH+G74k/i0+M344Pju+Pn5BfkU+Sf5QPlc+Xn5lvmw+cf52/ns+f36Dvof+jL6Rvpa+m76g/qX+qz6wfrW+uz7AfsV+yf7OPtG+1P7X/tr+3T7fPuA+4D7fPt0+2v7Zvtn+3T7jvu1++j8Ivxf/Jv80v0E/TP9YP2Q/cT9/v48/nz+vP76/zT/a/+i/9sAGABaAKAA5wEtAW8BrAHhAg8COAJdAn4CmgKyAsMCzgLSAtECzgLMAssCzwLWAuAC7QL6AwgDFwMoAz0DVgNyA5EDrQPHA9oD5gPtA/AD8QP1A/wECQQbBC8ERARYBGgEcgR3BHcEdARvBGoEZwRnBGoEbgRzBHYEdgRyBGoEXQRNBDwELQQiBBwEHQQmBDQERwRdBHMEhwSYBKQErASxBLUEuQS+BMYEzwTbBOYE8QT5BP4FAQUCBQEFAAT/BP4E/AT5BPQE7ATkBNoE0QTKBMUEwQS+BLoEswSqBKAElQSNBIgEiASMBJIEmASZBJQEhgRxBFUENgQWA/gD3gPJA7kDrQOlA6ADnQOcA5sDmQOWA5ADhwN9A3EDZANYA04DRgM+AzUDKgMdAw0C+wLpAtkCygK9ArACogKRAn0CZgJMAjMCGwIJAfsB8QHqAeIB2QHMAbsBpwGTAYEBdAFtAWwBcAF5AYIBiwGRAZQBlAGRAY4BjgGRAZkBpQG0AcQB1AHgAekB7wHzAfYB+QH9AgICBgIJAgwCDQIPAhMCGgIjAi8COwJGAkwCTwJNAkoCRgJEAkQCRwJMAlECVQJYAloCWwJdAl8CYQJlAmkCbQJyAncCfwKJApYCpQK3AsoC3gLyAwgDHgM1A04DZwOAA5kDsQPIA94D8QQABAwEEwQUBBAEBgP7A/AD6APmA+oD9AQBBBEEHwQpBDAENAQ3BDoEQgROBF8EdASLBKAEsAS6BL0EuwS2BLQEuATIBOUFEAVGBYMFwAX5BiYGRgZWBloGVQZMBkYGRQZMBloGbgaDBpUGoAajBp0GkAaABm4GXgZQBkIGNAYiBgwF7wXOBakFgwVfBT4FIwUNBP0E8QToBOEE2gTTBMkEvQStBJkEgARkBEQEIgP/A9sDtwOVA3UDWQM/AykDFgMFAvYC5gLWAsMCrwKXAnwCXgI+Ah4B/gHgAcUBrgGcAY0BggF4AW8BZgFcAVIBRwE7AS4BHgEKAPIA0wCwAIkAXwA0AAn/3/+1/4n/XP8s/vn+w/6M/lP+Gv3i/an9cf05/QL8zPyY/GX8NfwH+9z7s/uN+2r7R/sl+wH62Pqp+nL6Nvn2+bb5e/lH+Rz4+fja+Lz4mvhy+EP4EPfe9673hfdh90H3IvcB9tv2svaI9mH2PvYj9g31+vXn9dD1svWP9Wj1QfUf9QL06/Ta9Mz0v/Sx9KD0jPR29F30QPQf8/nzzfOf83HzRvMg8wPy7PLb8szyuvKi8oLyWvIq8fbxwPGN8V3xMvEN8O7w0fC38JvwffBa8DPwCe/c767vgu9Z7zTvFO737t3ux+6z7qHulO6K7oPuge6C7oXuiu6R7prupO6w7r3uze7e7u/u/+8N7xjvH+8i7yLvIe8h7yTvK+8370bvV+9o73fvgu+J74zvju+P75Lvlu+d76bvsO+778bv1O/j7/TwCPAd8DPwSfBf8HXwifCd8K/wv/DM8NXw2vDc8Nzw3fDg8Ofw9fEK8SXxRvFr8ZDxtfHY8ffyE/Is8kXyYPJ+8qHyyfL18yLzTPNw84zzn/Os87TzvfPK89zz9PQR9DD0UfRy9JP0t/Te9Qv1PvV49bf1+/ZD9o723vc195T3+vhn+Nj5SPmz+hT6aPqv+uf7E/s4+1n7fPul+9r8HPxr/MX9J/2J/ef+O/6C/rr+5P8C/xb/I/8t/zX/QP9S/2//nv/kAEMAuwFJAeQCgQMWA5gEAgRQBIYEqQTABNME5wT+BRoFOgVcBYEFpwXRBf8GMQZnBqEG3AcYB1IHiAe8B+wIGwhKCHwIsgjwCTUJggnTCiUKcgq2CuwLFAsxC0gLYQuBC68L7Aw3DI4M6g1HDaIN+g5PDqQO+g9TD68QDRBrEMYRHhFyEcASCxJREpQS0RMLEz8TbhOWE7YTzRPXE9ITuxOSE1gTERLGEn4SRBIgEhcSKxJZEpsS6hM9E40T0xQNFDoUXBR1FIYUkRSXFJYUkRSIFHwUcRRqFGoUchSDFJsUuRTaFPoVGRU2FVEVaxWEFZ8VvBXbFf0WIRZHFm8WmBbCFuwXFhc+F2YXjBexF9QX9RgTGC8YSRhiGHsYlRiwGM4Y7RkMGSkZQxlYGWgZdRl/GYoZlRmgGasZtRm6Gb0Zuxm4GbMZrxmrGagZphmjGZ8ZmxmXGZMZkhmSGZIZkBmKGX8ZbxlaGUMZLBkWGQQY8xjlGNYYxhi0GJ8YiBhwGFkYRBgyGCQYHBgZGBsYIRgpGDEYNxg6GDgYMBghGA0X8xfXF7gXmBd7F2EXShc2FyMXDhbzFtEWphZxFjYV+RW8FYMVURUlFP0U2BS1FJQUdRRZFEMUMxQoFCEUGxQTFAkT+hPpE9cTxBOyE6ITkRN/E2wTVxNBExwTAxLrEtISuxKkEo0SdhJfEkcSLhISEfIRzxGrEYcRaBFREUURQxFMEVsRbBF7EYYRihGHEYARdBFlEVARNxEYEPMQzBCjEHsQVhA0EBQP8w/PD6gPfA9NDxwO6w65DoUOUA4XDdoNmg1ZDR0M5wy6DJgMfgxsDF4MUAw/DCoMDgvrC78LjAtRCxAKygqBCjUJ6AmaCUsI/AivCGMIHAfbB6MHdAdOBzEHGwcLBv8G9gbxBu8G8AbzBvcG+wb/BwEHBAcGBwgHCgcMBw4HEAcRBxMHFAcXBxkHGwcbBxkHEgcJBv0G8AbkBtoG0gbLBsIGtQakBo4GdQZZBj4GJgYSBgIF9QXrBeEF1wXLBb0FrgWgBZMFiAWCBYIFhQWLBZEFlAWRBYcFdgVhBUkFMwUjBRcFEgUOBQwFBwT+BPIE4wTUBMUEtwSqBJ0EkQSGBHwEdARwBG4EbQRoBF0ESAQrBAYD3gO6A50DiwOFA4oDlQOiA60DswO0A64DowOUA4EDagNPAy8DCwLiArUChwJYAikB/AHQAaUBfAFTASsBBgDkAMYArgCcAI4AhQB8AHMAZgBWAEMALAAU//z/5P/L/7H/lP92/1j/Pv8r/yT/Kf83/0j/Vv9Z/0v/LP78/sL+gv5C/gb9zv2a/Wf9Nf0C/NH8ovx4/FP8M/wX+/z74/vL+7b7pPuX+4z7hPt6+2z7WftA+yH7Afrh+sL6pfqK+m76Uvoz+hP58/nT+bP5lfl3+Vn5Ofka+Pv43vjE+K34mfiH+Hb4Y/hO+Dn4JPgR+AD38/fo9933z/e/96r3lPd+92v3XfdX91f3XPdh92P3YPdY90v3PPcu9yP3Hvcd9x73Hvcb9xH3Afbs9tX2wPaw9qf2pvaq9rP2u/bA9r/2tPah9of2afZL9jH2H/YV9hL2FPYW9hX2DvX/9ez11vXD9bb1r/Wv9bT1uvW/9cD1vvW59bX1s/W19bn1wfXI9c710fXO9cX1t/Wj9Yr1bfVO9S71DvTw9Nb0wPSv9KL0m/SX9Jf0mfSd9KD0ofSd9JT0hvR09GL0UvRI9Ef0TvRd9HD0g/ST9J30n/Sa9I/0gvR19Gr0ZPRj9Gn0cvR/9I30m/Sn9LH0uPS99MH0x/TO9Nf05PTz9QT1GPUv9Un1Z/WJ9a711PX69h72P/Zb9nT2ivae9rH2xPbX9un2+/cM9x73MPdD91X3Zvd09333gfd+93b3avde91P3S/dJ90z3Vfdl93z3m/fB9+34HfhO+H34pfjE+Nr46Pjw+Pj5AfkR+Sj5Rvlp+Y/5tPnX+fT6Dfoh+jP6Q/pT+mX6efqN+qP6uPrN+uD68/sE+xX7Jfsz+0H7TvtZ+2T7bvt4+4H7ivuR+5b7mfub+577pfuy+8j76PwR/EH8c/yk/NH89v0V/TD9Sv1m/Yb9rP3X/gX+M/5h/o3+u/7r/yP/Y/+uAAIAXAC4AREBZQGvAfECKgJcAogCrgLOAucC+AMBAwMDAgMAAwADAwMKAxIDHAMlAywDNAM+A00DYwOBA6QDywPvBA4EIwQtBC4EKAQhBBsEHAQjBDIERgRbBG8EgASLBJAEkASNBIkEhgSGBIkEjgSUBJoEnQSdBJgEjQR/BHAEYQRWBFIEVAReBG8EhASaBK4EvwTLBNME1wTZBNsE3gTkBOwE9gUBBQsFFAUbBR4FHwUdBRkFEwUNBQcFAAT5BPEE6QTfBNYEywTCBLkEsQSqBKQEngSZBJQEjwSMBIsEiwSNBI4EjgSJBH4EbQRWBDoEHQQBA+gD1QPIA8ADuwO5A7gDtwO0A68DqQOiA5kDkAOGA3sDcQNmA1wDUgNIAz4DMgMkAxUDBQL0AuUC2ALPAsgCwgK7ArACoAKKAnECVgI8AicCFgILAgMB/QH1AeoB2gHGAbABnAGNAYUBhQGMAZgBpQGvAbUBswGsAaEBlwGRAZMBnQGuAcMB2AHqAfYB/AH8AfoB+AH4AfwCAgIKAhICGAIeAiMCKQIxAjoCRAJOAlYCWwJeAl4CXgJfAmICZgJsAnICdwJ7An0CfwKBAoQChwKLAo8ClAKaAqECqgK3AsYC2QLtAwIDGQMvA0cDYAN5A5MDrgPIA+AD9QQIBBkEJgQvBDUENgQyBCsEIAQVBAwEBwQJBBAEHQQuBD8ETgRaBGEEYwRjBGIEYgRlBGwEdwSEBJMEogSwBL0EygTbBPMFEwU/BXQFsAXtBicGVgZ3BocGhwZ6BmUGTQY5BisGJgYqBjYGRwZbBm8GgAaOBpgGoAamBqsGrwayBrEGrAahBo0GcQZMBiAF8AW/BY8FYwU8BR0FBQTzBOYE3ATTBMkEvQSuBJwEiARxBFgEPQQgBAED4AO/A5wDfANdA0IDKwMWAwQC8gLfAsoCsgKXAnoCWwI8Ah0B/wHjAcsBtAGfAYwBeQFnAVQBQQEvAR8BEQEEAPkA7QDfAM4AuQCgAIMAZQBFACUAA//f/7j/jf9d/yv+9v7A/ov+Vv4i/e39tv1+/UP9BvzJ/Iv8UPwY++T7tPuK+2X7Q/sl+wX64vq5+ob6S/oI+cL5fvlB+Qz44vi/+J/4f/hb+DH4AvfQ96D3cvdI9yL2/PbU9qr2ffZR9ij2BfXp9dT1wvWv9Zn1fvVe9Tz1HPT/9Oj01/TJ9Lv0rPSa9IX0bvRW9D30IvQF8+PzvfOT82fzPfMX8vfy3/LL8rnypfKM8mvyQ/IT8eDxrPF78U7xJvEE8ObwyvCu8I/wbvBJ8CHv9u/L76Lveu9W7zXvF+777uHuye607qDukO6D7njub+5p7mTuYe5g7mHuZu5t7nbuge6M7pfuoe6q7rHutu667rvuvO697r/uxO7N7tnu5+727wXvEO8Y7x3vIe8k7ynvMO8670bvU+9h72/vfu+O75/vse/F79jv7PAA8BPwJvA68E3wX/Bv8HzwhvCO8JTwm/Cl8LPwxfDc8PXxEfEu8UvxafGG8aPxwfHf8f/yIPJE8mzylvLD8u/zGfM981nzbfN684PzjPOY86vzxfPm9Av0M/Rb9IP0qvTR9Pv1KPVY9Y31xfYC9kT2jfbd9zb3l/gA+Gz42vlG+av6CPpb+qP63/sT+z/7ZvuN+7f76Pwi/Gj8t/0N/WT9uf4G/kj+ff6n/sf+4f74/xD/LP9Q/4D/vwARAHYA7gF0AgQCkgMXA4kD5AQnBFIEbgR/BI0EnQS0BNAE8wUaBUQFcQWgBdAGAwY3Bm0GpAbcBxQHSweBB7YH6AgZCEgIeAiqCOMJJAlvCcEKFwpsCrkK+gstC1QLdAuSC7cL5gwkDHEMyg0rDZIN+Q5gDsQPJw+ID+gQRRChEPkRTRGeEeoSMRJzErIS7BMjE1UTgBOkE70TxxPAE6QTdhM4EvASpxJlEjQSGBIXEi4SWxKYEtsTHxNdE5ITvRPdE/YUCBQYFCQULxQ3FDwUPhQ+FD4UQRRIFFYUbBSJFKsUzxTyFRMVMRVKFWIVeRWRFawVyxXtFhMWOxZlFpEWvRboFxIXOxdhF4YXqRfLF+0YDhguGEwYZxiAGJYYrBjBGNgY8RkNGSgZQxlbGW8ZgBmNGZgZoRmoGa0ZrhmrGaUZnBmSGYoZhBmBGX8ZfBl2GWsZWhlGGTEZHRkOGQQY/xj9GPwY+BjxGOYY2BjGGLMYnxiLGHYYYBhJGDAYGRgDF/AX4xfcF9wX4RfsF/kYBxgUGB8YJRgoGCUYHRgQF/8X6RfRF7YXmxeCF2wXWRdJFzsXKhcVFvcW0BahFmwWNBX9FcsVnBVyFUkVIBT1FMoUnxR4FFgUPxQuFCMUGRQPFAIT8BPcE8YTsROeE44TfhNvE14TShM0EysTFRL7EuESxhKtEpYSghJxEmISUhJAEisSExH3EdwRxBGyEacRpBGnEasRrxGuEagRnBGMEXoRZxFSETwRIxEHEOkQyhCtEJMQexBmEE8QNRATD+gPtg9+D0IPBQ7JDo4OVA4aDeENqA1xDT8NEgzqDMgMqQyNDHIMVww7DB0L+wvSC6ILZwskCtcKhQowCdsJiQk7CPAIpwhhCB4H3wenB3gHVAc5BycHGgcSBwoHBAb+BvoG+Qb7BwAHBwcPBxYHHAcgByMHJAckByIHIAccBxkHFwcXBxkHHAcfBx8HGwcSBwUG9QblBtUGyAa9BrIGpgaYBoUGbgZUBjkGIAYJBfgF7AXjBd0F1gXMBb0FqgWUBX0FaQVbBVUFWQVjBXAFegV+BXgFaAVQBTQFGgUFBPYE7gTpBOUE3wTVBMgEuQSrBJ8ElASLBIEEdwRsBGIEWwRYBFkEWwRbBFYERgQsBAkD4QO5A5gDggN4A3kDgQONA5kDowOpA60DrQOqA6IDlAN+A2ADOAMJAtUCnQJlAi4B+gHJAZsBbgFDARkA8QDMAK0AlACCAHkAdQB2AHcAdABtAF8ASwA0ABn//f/g/8H/oP99/1r/Ov8i/xX/Ff8g/zD/Pv9D/zn/Hf7x/rn+e/47/f39wP2F/Ur9D/zU/J78bfxG/Cj8Efv/++773vvM+7v7rPug+5f7jvuD+3L7Wfs5+xL66frB+p36fPpf+kL6JfoG+eX5wvmg+X75X/lA+SL5BPjm+Mj4q/iR+Hn4ZPhR+ED4L/gc+Ar39/fm99b3yfe897H3pPeV94T3cPdc90n3Ofcu9yn3J/co9yf3I/cb9w32/fbs9tz20fbK9sf2xfbC9rv2sPag9o72ffZv9mf2Z/Zu9nn2hvaQ9pP2jPZ79mD2QPYf9gL17/Xm9en18vX89gP2AvX49eX1zfW39aX1nPWb9Z/1pvWr9az1qfWh9Zj1kfWN9Yz1jvWR9ZP1kvWM9YH1cfVc9UX1LPUS9Pn04vTO9L30r/Sl9J70mPSV9JP0kvSR9I/0jPSG9H30cPRh9FD0QvQ49Db0OvRF9FX0aPR49IX0jPSM9IX0evRt9GH0V/RU9Fb0X/Rs9Hz0i/SY9KH0pvSo9Kr0rfSy9Lv0x/TW9Ob0+fUO9SX1QPVf9YL1p/XN9fH2EvYv9kj2XfZw9oH2kfah9rH2wfbR9uP29fcJ9x73MfdC9073VPdT90v3P/cx9yT3G/cY9x73L/dL93L3ovfa+Bb4UPiD+K34yvja+N/43fja+Nr44vj1+RL5OPlm+Zb5xvny+hn6OvpV+mv6fvqP+qD6sfrB+tL64frv+vv7BfsO+xj7Ivsu+zv7S/tc+2/7g/uX+6z7wPvT++X79/wI/Bv8MPxJ/Gf8ivyy/N39B/0w/VT9cv2L/aD9s/3F/dn97/4G/h7+Nv5O/mf+g/6n/tT/Df9V/6kABgBpAMwBKwGCAdACFQJSAogCuQLkAwkDJgM6A0cDTQNPA1ADUgNVA1sDYANlA2oDbgN1A4ADkgOsA80D8gQWBDUETARXBFgEUARFBDoENAQ1BD8ETwRkBHoEjgSdBKcErASsBKoEpwSkBKMEpASmBKcEqASmBKAElwSMBIEEdwRyBHMEfASMBKEEuQTPBOME8AT4BPsE/AT9BQAFBgUPBRsFJwUxBTcFOwU5BTQFLQUjBRkFDgUEBPoE8QTpBOAE1wTOBMIEtgSpBJwEkASGBH8EewR6BHsEfQR/BIEEgwSCBH8EeARuBF8ETAQ2BB4EBwPyA+ID1wPRA88D0APRA9ADzQPIA8EDugOxA6kDoQOYA44DggN1A2cDWQNMA0ADNQMqAxwDDgL9AusC2gLLAr4CsgKnApkCiAJxAlcCOwIhAg0CAAH7Af0CAgIGAgYCAAHzAeEBzQG8AbEBrQGxAboBxQHPAdQB0wHLAb4BsAGlAaEBpQGxAcMB2AHrAfkCAAICAf8B/AH7Af0CAgIKAhQCHAIkAisCMgI6AkICTAJXAmACaQJvAnQCeAJ8AoEChwKNApIClgKZApoCnAKfAqQCqgKxArkCwgLNAtkC5wL3AwkDHgMzA0kDXwN1A4sDowO7A9QD7QQFBBsELQQ9BEgETwRRBFAESgRCBDgELgQmBCIEIwQrBDcESARaBGwEewSFBIwEjQSLBIYEgQR+BH4EgwSNBJwEsATIBOUFBgUsBVkFjAXEBf4GNQZiBn8GigaCBmsGSgYnBgoF9wXzBfsGDAYjBjoGTwZfBmwGdgZ+BocGkQabBqYGsAa4Br4Gvwa7BrEGngaEBmEGOQYLBdsFrAWABVoFOwUiBQ4E/gTuBN0EygS2BJ8EiQRzBF0ESAQyBBwEAgPnA8kDqgOLA2wDTwMzAxgC/gLkAskCrgKSAnUCWQI9AiICCQHyAdwBxwGyAZwBhAFoAUsBLQEPAPYA4QDSAMYAvQC0AKgAmQCHAHIAXgBKADcAIwAN//H/z/+m/3b/Qf8K/tL+mv5i/ir98P2z/XP9L/zp/KP8Xvwc+9/7p/t2+0z7KPsI+uz60Pqv+ob6VPoY+dX5j/lL+Q/42/ix+I74bvhM+Cf3/PfM95r3Z/c29wb21/ao9nn2S/Ye9fb11PW59aP1kPV+9Wn1UPU09Rf0/PTl9NL0wvS09KT0kfR79GL0SfQv9Bfz//Pl88fzpfN/81XzLPMF8uTyyfKz8qDyjPJ08lfyM/IJ8dzxrfF/8VTxLPEI8OXwxPCi8H7wWfAx8Anv4e+775jvd+9Z7z3vI+8J7u/u1+7B7q7une6P7oPud+5s7mLuWO5P7knuRu5E7kTuRe5G7kfuSO5K7k3uUO5U7ljuWu5c7l7uYe5m7m7uee6G7pLunu6n7q7utO677sTu0O7f7vDvAu8V7yfvOe9L713vcO+C75Tvpe+078Pv0u/i7/PwBPAW8CjwOfBL8F3wcfCI8KLwvvDZ8PPxCvEe8TDxQfFV8Wzxh/Gl8cfx6vIO8jPyWvKC8qry0vL38xfzMvNH81jzZ/N584/zrfPR8/v0KfRY9Ib0s/Td9QX1LPVU9X31qfXa9hH2T/aW9uX3PPeZ9/n4W/i9+Rz5efnS+ib6dvq++wD7Ofts+5n7xPvy/CT8Xvyg/Oj9Mv17/cD9/v42/mf+lv7F/vb/Lf9r/7IABABhAMoBPQG4AjUCrgMbA3cDvwPxBBAEIwQwBD4EUQRrBI4EtwTlBRYFSQV9BbIF5gYbBk8Ggga0BuUHGAdLB4AHtQfpCBkIRghyCJ8I0gkOCVcJqwoHCmUKvQsKC0gLdwubC7sL4AwPDE8MoQ0EDXQN7Q5nDt8PUA+4EBgQcBDCERERXBGlEesSLhJuEqoS4xMYE0kTcxOSE6MTnxOFE1MTDxLAEnESLhICEfER/hIkElwSnRLdExYTQhNjE3kThxOSE50TqhO5E8oT3RPvFAEUERQgFC8UPxRSFGgUghSgFMEU4hUCFSAVPBVWFW8ViRWlFcMV5BYIFi4WVxaBFq0W2hcHFzIXXBeDF6cXyhfqGAoYKxhLGGkYhhifGLUYyBjaGOwZABkXGS8ZRxleGXEZgBmLGZIZlhmXGZUZkBmJGX4ZcxlpGWAZXBlZGVgZVBlKGTgZHxj/GN4YwBipGJsYlxiaGJ8YpBikGJ4YkRh+GGgYTxg3GB4YBxfwF9oXxxe4F64XqxevF7sXyxffF/IYAhgOGBUYFhgTGAwYAxf3F+kX2BfEF64XlxeBF20XWxdOF0EXNBckFw0W8BbLFqMWeBZOFiYV/xXYFa8VgxVTFSAU7RS+FJcUeBRhFE8UPxQuFBkT/xPiE8QTpxOQE30TbxNkE1kTTRM+E0kTOBMiEwYS6hLOErcSpRKZEpASiBJ9Em4SWRJAEiUSCxH1EeQR2RHSEcsRwRG0EaIRjhF4EWMRUBFAETERIxEVEQYQ9xDpENwQzRC8EKMQgRBUEBwP2w+VD00PBg7DDoUOSg4UDeENsg2HDWANOw0YDPUM0AypDIAMWAwwDAoL4gu2C4ELQgr3CqIKRwnqCZIJQgj8CL4IhQhQCB0H7QfAB5kHegdiB1EHRQc6BzAHJQcaBxAHCQcHBwoHEAcYByEHKgcxBzUHNgc1BzEHKwckBx0HFwcVBxYHGQceByIHIwceBxQHBgb0BuIG0QbDBrYGqQabBooGdAZbBkAGJgYOBfsF7gXmBeAF2gXQBcAFqQWNBW8FVAVBBToFPgVMBV4FbgV3BXQFZQVMBS8FEwT7BOkE3ATTBMgEvAStBJ0EjQSBBHgEcwRvBGoEZARbBFIESwRIBEgESwRLBEYENgQcA/kD0QOqA4oDdANpA2gDbQN2A34DhgOLA5ADkwOTA5ADhwN1A1oDNAMFAs8ClQJZAh4B5gGwAX4BUAElAP4A2QC4AJsAhAB0AGsAaABqAG4AcQBwAGgAWQBEACsADv/v/83/p/9+/1P/Kv8I/vL+6/7x/wL/FP8h/yH/D/7r/rj+fP46/ff9tf10/TL88vyz/Hv8S/wl/Av7+fvt++H71PvG+7b7p/uZ+437gftw+1n7OfsS+uX6uPqO+mj6SPos+hD58/nR+az5hvlg+Tz5HPj/+OX4zPiy+Jj4ffhj+En4Mfgc+An3+Pfo99n3y/e996/3oveW94n3fPdu91/3Tfc59yX3EfcB9vX27vbr9un25/bg9tX2xfax9pz2ifZ69nD2a/Zn9mP2XPZT9kf2OvYv9if2JvYr9jX2QvZN9lT2U/ZH9jP2F/X59d/1zvXH9c312vXp9fb1+/X19eX1z/W59ab1mvWW9Zj1nPWe9Zz1lPWJ9Xz1cfVo9WL1YPVe9Vz1VvVN9T/1LvUa9QX08PTd9Mv0vfSy9Kr0pfSh9J70mvSV9I/0h/R/9Hf0b/Ro9GD0WPRP9Eb0PfQ09C70K/Qt9DP0PfRJ9FX0X/Rl9Gb0YvRc9FT0TvRN9FL0XPRr9Hz0i/SW9J30n/Se9J30nvSk9K30uvTK9Nv07PT/9RP1KvVF9WP1hfWn9cj15/YD9hv2MfZF9lf2afZ69on2mfao9rf2x/bZ9uz2/vcP9x33Jfco9yT3HfcT9wv3CPcO9yD3P/dt96b35/gq+Gn4nfjC+NT41fjH+LL4nfiO+Iz4mfi3+OL5GflV+ZP50PoI+jv6ZvqK+qj6wPrU+uT68vr9+wf7DvsT+xb7GPsb+yD7J/s0+0X7W/t0+5L7sfvS+/P8FPw0/FX8dPyT/LP80/z0/Rb9Ov1e/YP9p/3K/ez+C/4n/kH+WP5t/n/+jv6b/qb+r/65/sT+0/7p/wn/Nf9v/7cACgBmAMUBIwF8AcwCEwJSAosCwALwAx0DRgNpA4QDlwOkA6wDsAOzA7UDuAO7A74DwgPGA84D2wPsBAMEHgQ5BFIEZARvBHIEbQRjBFoEUwRSBFgEZgR5BI8EpQS5BMgE0wTYBNgE1gTRBMsExQTABLsEtwSyBKwEpQScBJQEjgSNBJEEnQSxBMkE4wT7BQ8FHAUiBSQFIwUjBScFLwU6BUYFUAVXBVgFUwVIBTsFKwUbBQsE/QTwBOUE3ATTBMsExAS7BLIEpwScBJAEhAR7BHMEbwRuBG8EcgR2BHkEewR6BHcEcARmBFgERgQzBB4ECwP7A+4D5wPjA+MD5APmA+YD5QPiA98D3APZA9YD0gPKA78DrgOZA4IDawNXA0cDOgMvAyQDFQMCAuoCzgKvApECdQJaAkACJgIMAfIB3AHLAcMBxAHOAd4B8QICAgwCDgIIAfwB7gHgAdYB0AHOAc8B0gHUAdUB1AHQAcoBxAG+AbwBvQHDAc4B2wHoAfUB/gIDAgYCBgIHAgoCDgIUAhwCJAIsAjQCPAJEAk4CWQJjAm0CdgJ+AoQCiwKRApgCnwKmAqsCrwKyArUCuQK+AsYC0ALbAugC9gMEAxQDJQM4A0wDYgN3A4wDoAOzA8UD2APsBAEEFwQsBD8EUARcBGQEZwRkBF4EVARJBD8ENwQ1BDgEQQROBF4EbwR+BIoElASaBJ0EnQScBJoEmASZBJ4EqQS7BNQE8wUWBTsFYQWHBa0F0gX1BhQGKQYxBikGEAXqBb4FlwV+BXsFkAW6BfIGLwZnBpMGrga4BrcGrQagBpMGiQaCBn0GewZ7Bn4GgwaJBo4GkgaPBoUGcQZUBjAGCAXfBbkFlgV3BVwFQwUqBRAE9ATXBLoEngSDBGsEVQRABCoEEwP6A98DwwOkA4UDZQNEAyMDAgLjAsUCqgKQAncCXwJHAi8CFwIAAeoB1QHAAakBjgFuAUsBJQEAAOAAxgCzAKgAoACYAI4AgQBvAF0ASwA9ADMAKwAkABkABf/p/8H/kP9Z/x3+3/6g/l7+G/3U/Yn9PPzt/KD8VfwO+8z7kftc+y77B/ro+tD6u/qm+oz6avo9+gX5xfmA+T34//jJ+Jz4dPhO+Cf3/PfM95j3Yvcr9vX2wfaO9l32LPX/9db1svWT9Xv1ZfVS9T31KPUR9Pr05PTP9L30rPSb9If0cfRY9D70JPQK8/Lz2/PC86bzhvNi8zzzFvLy8tLytvKf8orydPJc8j/yH/H68dLxqfF+8VTxK/EC8Nrws/CN8GbwPvAX7/DvzO+p74rvbu9V7z7vJ+8R7vru5e7Q7r7uru6f7pHug+507mTuU+5E7jfuK+4i7hruEu4K7gPt/u367fnt+u397gDuAu4C7gLuAu4E7gnuEe4c7ifuMu487kTuTe5X7mTudu6K7qHuue7R7uju/u8U7yrvQO9V72jveO+F75Dvmu+l77HvwO/S7+fv/vAY8DTwU/B28JrwvvDf8PvxEfEh8S3xOfFH8VvxdPGS8bTx1vH48hryO/Je8oTyrfLX8wDzJ/NJ82bzgPOY87DzzPPt9BP0PfRq9Jj0xPTv9Rf1O/Ve9YD1o/XJ9fT2JvZh9qT27vc994/34fgz+IX41/kq+X751Poq+n36yvsQ+037gvuy+9/8DvxB/Hn8tvz3/Tr9ff3B/gX+Tf6X/uf/O/+T/+8ATQCvARUBfgHqAlUCuwMXA2IDmwPAA9YD4QPqA/cEDAQsBFQEhAS3BOwFIgVYBY8FxgX9BjIGZQaWBsUG9AckB1cHjAfCB/UIIwhMCHEIlwjDCPsJQgmXCfcKWwq7Cw8LUwuHC68L0gv6DC8MdwzUDUQNwQ5EDsQPPA+mEAMQVBCeEOQRKBFuEbMR+BI6EnkStRLvEyQTURNyE4ATdBNNEwwSuBJgEhER2xHHEdkSDBJWEqgS9RM0E10TchN4E3UTcBNvE3UTghOVE6sTxBPdE/UUDRQkFDsUUhRpFIEUmhS0FM8U7BUJFSYVQxVhFX8VnxW/FeEWBRYqFk8WdhafFskW9hcjF1AXfBemF8wX7xgPGC4YTBhqGIgYpRi/GNcY6xj9GQ4ZIBkyGUUZWBlpGXcZgRmGGYgZhxmDGX0ZdhlsGWAZVRlLGUMZPhk7GTgZMhkmGRMY+RjaGLoYnRiIGHsYdxh5GH0Yfxh6GG8YXRhGGC0YFRgAF+wX2xfLF7wXrxelF58XoBeoF7YXyBfaF+sX9xf9F/0X+BfxF+gX3xfWF80XwReyF6EXjhd6F2gXWBdLFz8XMhcjFxAW+RbeFsEWoxaFFmcWSBYmFf8V1BWjFXAVPhUOFOQUwBSiFIYUaxRMFCoUAxPaE7ITjxNzE2ATVhNTE1QTVRNSE2UTWRNDEycTCRLtEtcSyBLBEr0SuBKvEp8ShxJoEkYSJBIFEewR2RHJEbsRrRGcEYsRehFrEWARWhFZEVoRXBFdEVwRVxFNET4RKBEIEN4QpxBnEB4P0Q+EDzkO9A61DnwORw4WDekNwA2cDXsNWw06DRYM7Qy/DI8MXgwtC/8L0AucC2ALGQrGCmkKCAmqCVcJEQjaCK4IiwhrCEkIJQgAB9sHugeeB4cHdAdkB1UHRgc4BysHIQcbBxoHHAchBygHLwc1BzoHPAc8BzoHNAcuByYHIQcdBx4HIQcmBysHLgcsByUHGAcIBvYG5AbUBsYGuQasBpwGigZ1Bl0GRAYtBhgGCAX7BfAF5QXWBcIFqAWJBWsFUQVBBT0FRAVVBWkFeQWBBX0FbQVVBTgFHQUEBPAE3gTNBLsEpgSQBHwEbARiBF4EXgRgBGAEXARVBE0ERgRCBEIERARCBDoEKQQNA+kDwgOdA38DawNhA18DYQNkA2YDZgNlA2IDXwNbA1QDSAM2AxsC+QLQAqICbwI5AgEByQGSAV4BLgEEAN8AvwCkAIsAdgBkAFYATgBKAEoASwBLAEYAPAAsABb//f/h/8H/nf9z/0b/GP7v/tH+w/7F/tX+7P8B/wv/Av7l/rX+eP4y/en9of1b/Rf81vya/GT8N/wW+/777/vk+9r7zvvA+6/7nvuM+3v7Z/tO+y37BPrV+qT6dPpK+if6C/ny+dn5u/mZ+XL5SPkf+Pn42fi/+Kn4lPh/+Gn4T/g0+Bf3/Pfj9873vvey96n3ofeZ95D3hfd592v3XfdN9zz3KPcT9vz25PbP9r72s/at9qz2q/ao9p/2j/Z59l/2RfYv9h72E/YO9gv2CPYC9fv18fXn9d712fXZ9d/16fX09f32AvX/9fT15PXQ9b/1s/Wx9bn1yPXa9er18vXx9eb11PXA9a71oPWY9ZP1j/WJ9YD1cvVi9VH1Q/U49TD1LPUo9SP1HPUS9Qb09/Tn9Nj0yvS99LP0q/Sl9KL0oPSe9Jv0lfSN9IH0c/Rk9Fb0S/RC9D30OvQ49Df0NPQu9Cf0H/QZ9Bb0F/Qd9Cb0MvQ89ET0SPRI9Ef0RvRI9FD0XPRs9Hz0ivSU9Jj0mfSX9Jf0mfSg9Kr0t/TE9NL03/Tu9P/1E/Ur9Uj1ZvWF9aP1v/XY9fH2CPYf9jX2S/Zf9nD2f/aM9pf2ofat9rv2yfbX9uX28Pb49v33APcF9wz3Gvcy91b3h/fC+AT4SPiF+LT4zvjS+L/4m/ht+EH4H/gQ+Bf4Nvhq+K34+flJ+Zf54foj+l/6kvq8+uD6/PsT+yT7Mfs6+0D7RPtG+0f7SPtL+1L7Xftu+4T7ofvB++X8C/wy/Fr8gvyq/NH8+P0f/Ub9bP2T/bn93f4B/iP+RP5l/oX+pf7E/uL+/v8W/yn/OP9D/0v/Uv9Y/2D/a/96/5H/sP/cABUAWgCqAQABWAGsAfcCOgJyAqQC0QL9AykDVgOAA6cDxwPhA/MD/wQHBA0EEQQWBBoEHwQkBCkEMAQ4BEMEUQRgBG8EfQSHBIwEiwSHBIEEfAR7BH4EiASYBKwEwwTZBO4E/gUJBQ4FDwULBQUE/gT2BPEE7QTqBOcE5ATfBNkE0wTPBM4E1QTiBPYFDQUlBToFSQVRBVQFVAVSBVIFVQVZBV4FYQVgBVoFTwVBBTAFHgUNBP0E7wTiBNgE0ATJBMQEwQS/BLwEuASzBKwEowSZBI8EhQR8BHYEcgRwBHAEcQRyBHIEcARpBF4ETwQ+BCoEFwQHA/oD8gPuA+8D8gP2A/oD/gQDBAgEDgQTBBgEGAQSBAMD7APOA6sDiANpA1ADPgMwAyIDEQL5AtgCsAKCAlMCJAH5AdMBsgGWAYIBdgF0AX8BlAGwAc8B7AIBAgsCDAIFAfsB7wHnAeAB3AHYAdMBzQHGAcEBvwHBAcYBzQHVAdsB3wHiAeUB6QHvAfgCAQIKAhICGQIeAiECJQIpAi4CNAI6AkICSgJTAl0CZgJvAncCfgKEAokCjgKVApwCpQKuArcCvwLHAs8C1wLhAu0C+gMIAxcDJQM1A0UDVwNqA38DlQOqA74D0APgA+4D/QQMBB0ELwRBBFMEYgRtBHQEdgRzBGwEYgRZBFIETwRTBFwEaQR4BIYEkQSYBJsEmwSaBJkEmgSdBKMErQS7BM8E6gUNBTQFXgWHBagFwQXOBdIFzAW/Ba0FkwVzBUwFIAT1BNIEwwTOBPkFQAWeBgUGaQa8BvcHFgccBw8G9QbVBrQGkwZ2BlwGSAY7BjkGQwZYBnQGkwauBr8GxAa4Bp8GfAZSBicF/QXVBbAFjAVoBUQFIAT9BNwEvgSiBIkEcQRZBEAEJQQJA+0D0AOyA5MDdANSAzEDEALwAtQCvAKmApECfAJlAksCLwITAfgB3gHGAa4BkwF0AVABKAEBAN0AwQCtAKEAmgCUAIsAfABpAFMAPwAvACYAIwAiAB8AFgAC/+P/uf+G/0z/Df7L/oX+Ov3s/Zn9RPzu/Jv8TPwC+777gftK+xr68/rV+r/6sfqn+pz6ivpt+kL6CvnH+X75Nvjz+Lf4gvhS+CT39ffE95D3Wvck9u72u/aI9lb2JfX19cf1nvV59Vr1QfUr9Rj1BvT09OH0zvS79Kf0k/R+9Gj0UPQ29B30A/Pq89LzufOf84LzY/NB8x/y/vLf8sPyqvKS8nnyX/JD8iXyA/Hg8bvxlfFs8UPxGPDu8MPwmfBx8EnwI+/+79vvue+a737vZe9P7zvvKe8X7wTu8e7f7szuue6m7pPuf+5p7lLuPO4n7hPuAu307eft2u3P7cXtve247bbtt+257brtu+257bbttO207bbtvO3F7c/t2O3g7ent8u3/7hDuJe4/7lvud+6R7qvuw+7c7vXvDu8m7zzvTu9b72Xvbe9174Dvju+h77nv0+/y8BPwN/Bd8ITwqvDN8OvxAvEV8SXxNPFI8WDxfvGh8cXx6PIL8ivyTPJu8pXywPLw8yLzVPOC86vzz/Pt9Aj0I/Q+9Fv0fPSg9Mf08PUZ9UH1Z/WJ9aj1xPXf9fz2HvZH9nn2svbz9zf3fffC+Ab4SfiN+NX5Iflz+cf6HPpv+rv7Afs/+3f7rPvg/Bb8UPyN/M/9Fv1j/bf+Ev51/tz/R/+wABcAeQDWATIBjwHuAk8CrgMGA1ADhwOpA7oDvwPAA8cD2AP2BCAEUgSIBL4E9AUpBV8FmAXTBg4GSQaBBrUG5gcWB0cHewewB+UIFghBCGYIhgimCM4JAQlECZcJ9QpYCrkLDwtXC5ELvwvpDBgMVAyhDQANcA3oDmIO1Q88D5cP6BAyEHsQxREREV8RrRH3Ej4SgRLBEv4TMxNaE2sTYBM1Eu0SlBI5Ee4RwxHDEe0SORKXEvYTRRN8E5YTmhOOE38TcxNxE3kTiROeE7YTzRPkE/sUEhQqFEMUXBR1FI4UqBTBFNwU+RUWFTUVVBV0FZUVthXZFf4WJBZLFnIWmhbDFu0XGBdFF3EXnRfGF+wYDhguGEsYZxiDGJ8YvBjYGPIZCRkeGTEZQhlSGWAZbBl2GX4ZghmDGYIZfhl4GXAZZxldGVEZRRk5GTAZKBkiGRwZFRkLGPwY6RjTGL0YqRiZGI4YhxiCGHsYcBhhGEwYNRgdGAYX9BfmF9wX0xfKF8AXtRerF6MXoRelF64XuxfJF9MX2RfZF9UXzRfFF74XuRe1F68XqBedF48XgBdwF2EXVRdJFzwXLhccFwYW7xbWFr0WpRaOFncWXRY/FhwV8xXHFZgVaRU8FREU5xS+FJUUaRQ8FAwT2xOtE4MTYRNKEz4TPhNGE1MTXxNnE38TbxNUEzITDxLxEtsSzhLIEsUSwBKzEp4SgBJcEjUSERHxEdgRxRG3EaoRnxGUEYsRhRGDEYgRkRGfEa0RuhHBEcERtxGhEYERUxEbENcQixA7D+oPnA9VDxUO3A6pDnkOSw4eDfQNzA2oDYgNaQ1KDScM/wzSDJ8Magw1C/4LxAuGCz4K7AqRCjAJ0Al4CS8I9wjPCLUIoQiNCHUIVwgyCAoH4ge+B58Hhwd0B2UHWAdNB0IHOQcxBywHKAcnBygHKwcvBzQHOAc8Bz0HPAc6BzcHNAcyBzIHNAc3BzoHOgc2By4HIgcTBwMG8gbjBtYGywbABrYGqgacBosGeAZjBk8GOgYnBhQF/wXoBc4FsAWSBXYFYAVVBVQFXQVsBXsFhgWJBYEFcQVbBUMFLAUYBQUE8ATaBMAEpASKBHQEZgRhBGIEZwRrBGsEZQRbBFEESARDBEMERARCBDkEJwQLA+gDxAOiA4cDdQNrA2YDZANhA1wDVQNMA0IDNwMrAxwDCQLxAtUCtgKUAnACSgIhAfMBwQGMAVYBIwD2ANAAsQCXAIAAaQBSADsAKAAZAA8ACQAGAAH/+v/t/93/yv+0/5v/fv9c/zT/Cf7g/r/+rf6t/r3+2P70/wX/BP7r/rz+e/4v/eD9k/1K/Qb8yPyP/F38NPwV+/778Pvm+9z70vvD+7L7n/uK+3L7Vfsy+wb60/qb+mT6MPoE+eL5yPmy+Zz5gvli+Tz5FPjs+Mf4qPiP+Hr4ZvhS+Dv4IfgD9+T3xfeq95T3hfd893j3d/d193D3Z/db90v3OPck9w729/bf9sX2q/aT9oD2c/Zs9mr2avZn9l/2T/Y49h32AfXn9dP1xfW99bj1tPWu9af1nfWT9Yn1gvV/9YH1h/WP9Zn1ofWm9aX1oPWZ9ZL1jvWQ9Zn1p/W49cb1zvXP9cj1vPWt9Z/1k/WK9YL1ePVr9Vr1RvUx9R31DPT/9Pf08fTs9Of04PTY9M/0xvS99LX0rvSp9KX0o/Sg9J30mvSV9I30gvR09GP0UfQ+9C30H/QV9BD0D/QR9BP0FPQS9A30BfP98/jz9vP69AP0EPQd9Cn0MvQ39Dr0PfRC9Ev0WPRm9HT0gPSI9I30j/SR9JT0mvSh9Kr0svS49L30w/TM9Nn07PUF9SP1QvVi9YD1nPW39dH17PYI9iP2PPZS9mT2cfZ69oH2h/aN9pT2nfan9rP2v/bL9tr26/b/9xr3PPdm95n30/gR+E/4hPir+L74t/iX+GT4Jffm97P3lfeU97H36vg4+JT49vlW+bD6AvpJ+ob6uvrl+wj7JPs7+077XPtp+3P7e/uC+4r7kvuc+6n7u/vS++78Dvwy/Ff8f/yn/M/89v0e/UX9a/2S/br94/4O/jn+Y/6M/rL+1v73/xf/Nf9S/27/h/+e/7H/wf/O/9n/4//u//oACAAYAC0ASQBuAJ8A3AEkAXIBwgIOAlECiQK3AtwC/gMfA0IDaAOQA7gD3QP+BBgELQQ+BEwEVwRiBGwEdQR8BIEEhASHBIkEjQSSBJkEoQSpBLAEswS0BLIErwSuBK8EtQTABNAE4wT5BQ4FIQUxBTwFQwVGBUYFRAVCBUEFQQVEBUcFSgVJBUUFPAUyBSkFIwUlBS4FPgVTBWgFegWGBYwFjAWHBX8FdwVuBWYFXAVRBUUFNwUpBRoFDAUABPQE6gThBNsE2ATYBNsE4ATlBOkE6wTpBOEE1QTEBLAEmwSIBHYEaQRhBF4EXwRhBGMEYwReBFUERgQ0BCAEDgP+A/QD7gPvA/QD/AQHBBIEHQQpBDMEPQRHBE0ETwRJBDoEIAP8A9EDpQN7A1cDOQMiAwwC8wLTAqoCeQJCAgoB0wGhAXYBVAE7AS0BLQE7AVcBfwGuAdsB/wIWAhwCFAICAe8B4AHXAdQB1QHVAdIBygG/AbYBsQG0Ab4BzQHdAesB9AH4AfkB+gH9AgQCDwIcAikCNAI8AkECRAJGAkkCTAJQAlUCXAJjAmoCcQJ3AnwCfwKCAoUCiAKNApUCoAKtArsCygLaAukC+AMHAxYDJQM0A0IDTwNdA20DfgOQA6UDugPPA+ED8gP/BAwEGAQkBDIEQQRQBGAEbgR5BIEEhgSGBIMEfwR7BHkEewSBBIsEmASjBKsErgSrBKUEnQSXBJUEmQSjBLMEyQTlBQkFMgViBZQFxAXrBgQGCQX6BdgFqAVuBS8E8ASzBHoESgQoBBoEJwRTBJ8FBgV/BfsGbQbKBwsHMAc7BzMHHgcBBt4GuAaPBmgGRgYwBioGNwZXBoUGuQbpBw4HIAceBwoG6Aa9Bo4GXgYvBgEF0gWjBXQFRgUbBPYE1gS8BKUEkAR5BGAERAQmBAcD6APKA6wDjgNuA00DLQMOAvMC3ALIArQCoAKHAmsCSwIqAgoB7AHRAbcBnAF8AVgBMQEJAOUAyAC0AKgAogCbAJIAhABwAFgAQQAuAB8AFgAQAAn//P/n/8n/o/92/0T/D/7V/pf+VP4J/bf9Yf0I/LD8XPwM+8T7gvtH+xT66vrK+rT6qPqh+pv6kPp6+lX6Ifnf+ZT5R/j9+Lj4fPhF+BP34vex93/3TPca9uj2t/aH9lb2I/Xx9b/1kPVm9UL1JfUN9Pr06fTY9Mf0tPSg9Iv0dPRe9Eb0LvQW8/3z5fPM87LzmPN7813zPvMf8wLy5/LO8rfyofKJ8m/yU/Iz8hLx7/HM8ajxgvFb8THxBfDY8KvwgPBX8DHwDu/t783vr++U73rvZO9R70DvMe8h7xHu/+7r7tTuvO6i7ofua+5Q7jTuGu4B7evt1+3F7bTtpe2X7Yztg+1+7X3tf+2B7YPtg+2B7X3teO127Xbteu2A7YjtkO2Y7aHtrO287dHt6u4H7iXuQ+5e7nbuju6l7r3u1u7u7wTvF+8l7zDvOe9D71DvYu9475LvsO/Q7/HwFPA38FrwffCd8Lvw1fDu8QfxIvFA8WTxi/G08d7yBfIq8kzybvKT8rvy6PMZ807zgvO18+b0EvQ59F30fvSd9Lv02PT49Rr1QPVp9ZP1vPXi9gH2GPYp9jX2QfZS9mv2j/a+9vX3Mfdu96r34/gZ+FH4i/jL+RL5Xvmt+f76Tvqb+uT7Kvtw+7X7+vxC/Iz82/0w/Y398/5h/tT/SP+3AB0AegDOAR0BbwHHAicCiwLuA0QDhgOuA78DvQOzA60DtAPKA/EEIgRZBJAExQT5BS4FZgWkBecGKwZtBqwG5AcZB0sHfQeyB+cIHAhNCHgInQi8CNoI/gkrCWcJsgoKCmkKyQsiC3ALsAvkDBMMQgx6DL8NEw10DdsORA6qDwkPZA+8EBQQbRDHESERdhHHEhESVxKbEtsTFRNCE1oTUxMsEugSkRI7EfcR1xHiEhcSahLKEyUTaxOVE6QTnRONE34TdhN5E4cTmxOxE8cT2hPtE/8UFBQrFEMUXhR5FJUUsRTOFOwVDBUsFU0VbBWLFaoVyxXtFhMWPBZnFpMWwBbsFxcXQRdqF5MXuhfgGAQYJRhDGF8YehiVGLEYzRjpGQQZHRkzGUcZVhljGWwZcxl4GXoZexl6GXcZchlsGWQZWhlPGUMZNxksGSEZGBkPGQgY/xj2GOsY3xjRGMQYtxirGJ8YkxiFGHQYYBhJGDEYGBgCF/AX4hfYF9EXyxfDF7kXrRehF5gXkxeVF5sXpRevF7UXuBe1F64XphegF5wXmheXF5MXjBeBF3QXZxdbF1IXSxdEFzkXKBcSFvcW2ha9FqQWjRZ5FmQWTBYvFgwV5hW9FZMVaBU8FQ4U3BSnFG8UNhP9E8gTmRNxE1ITPhM1EzcTQhNUE2gTeROCE5kTfhNXEyoS/xLcEsISsxKrEqQSmRKHEm0STBIqEgkR7xHcEc8RyBHCEb0RtxGxEawRrBGxEbwRzRHhEfUSAxIHEf8R6BHBEYoRRhD4EKMQTA/3D6kPZA8pDvYOyQ6gDnYOSw4fDfMNyQ2kDYINYw1EDSMM/gzUDKQMbww3C/oLuAtvCx4KxgppCgsJsgllCSYI+AjYCMIIsAibCIAIXgg1CAgH2wezB5IHeQdpB18HWQdVB1EHSwdDBzoHMgcrBycHJwcqBy8HNQc6Bz4HPwc/Bz0HPAc6BzoHOgc6BzkHNgcwBygHHgcSBwUG9wbrBuAG1wbQBsoGwwa8BrEGpAaTBoAGagZUBj0GJAYJBesFywWrBY4FeAVqBWUFaAVuBXQFdgVyBWgFWgVMBT4FMgUnBRkFBwTuBNEEswSXBIQEegR6BIAEhwSJBIUEeQRpBFkETARGBEUERgRFBD0ELQQUA/QD1AO2A54DjgODA3sDdANrA2ADVANHAzoDLAMcAwgC7wLTArQClQJ4Al4CRAIoAgYB3AGqAXMBPQEKAN8AvQCgAIYAawBNAC0ADf/x/9v/zP/C/7r/sf+m/5j/iP94/2f/U/86/xz++P7T/rT+ov6i/rX+0/71/w3/Ev79/s7+i/47/en9mf1Q/Q780vyc/Gz8Qvwh/Aj7+Pvt++T72vvN+7v7pvuM+277Sfsd+uj6rPps+i359PnF+aD5hvlx+V/5Svkw+RH47/jM+Kv4jvh0+F74SPgx+Bj3+vfa97f3lfd39173TvdF90P3RfdG90P3O/ct9xn3Afbo9s32svaX9n32ZPZP9j72NPYu9i32K/Yn9h32DfX29dz1wvWq9Zf1iPV99XT1bPVj9Vr1UPVG9T31N/Uz9TP1NvU89UX1TvVW9V31YfVi9WP1ZfVp9XD1efWA9Yb1hvWB9Xj1bvVk9V31WPVW9VL1TPVA9S71GPUB9Or01/TI9L70t/Sz9K/0q/Sm9KH0m/SX9JT0k/ST9JT0lPSS9I70hvR69Gv0WPRD9C30F/QD8/Hz4/PZ89Pz0PPR89Pz1fPW89Tz0fPO88vzzfPT897z7PP79Ar0FvQg9Cj0MPQ59ET0UPRc9Gf0cPR39Hz0gPSG9I70l/Se9KT0pfSj9KD0nvSi9K30wPTb9Pv1HfVA9WH1gfWg9b/13/X+9hv2NfZJ9ln2Y/Zp9m72cvZ29nv2gfaI9pH2nPar9r721/b39x73S/d+97X37vgl+FX4ePiK+IX4avg69/33vPeD9133Ufdl95j35vhG+LH5HfmD+eD6Mfp2+q/63fsD+yL7PPtS+2b7evuN+6D7s/vE+9b75/v6/A78Jfw//Fz8e/yd/MD85P0J/S/9VP14/Zz9v/3j/gn+Mv5e/o7+v/7v/x7/SP9u/4//rf/H/9//9QAJABwALAA7AEkAVwBmAHcAigCgALsA3gEIAT0BewG/AgcCTAKMAsIC7QMQAysDQwNbA3UDkgOwA9AD7gQLBCcEQARXBG0EgQSUBKQEsQS8BMMExwTJBMkEyATIBMkEzATSBNgE3QTiBOUE5gToBOsE7wT3BQEFDgUdBSwFPQVNBVwFagV2BX4FhAWHBYoFjgWSBZcFnAWfBZ0FlQWJBXsFbwVoBWoFdAWFBZkFrAW7BcIFwQW4BagFlAV+BWgFUgU+BSwFHQUPBQQE+wTzBO4E6wTrBO4E9gUDBREFIAUrBTEFLwUkBREE9gTWBLUElAR4BGIEVARMBEoETARPBFAETQRGBDoEKgQaBAoD/QP1A/ID9QP9BAkEGAQnBDYEQwRNBFUEWgRfBGEEYQRcBE8EOAQWA+sDugOHA1YDKwMEAuACvAKTAmQCLwH2AbwBhgFWAS4BDgD5AO8A8wEIAS8BZAGiAd8CEgIyAjsCLwIWAfcB3AHLAcQBxQHKAcsByAHAAbYBrwGtAbIBvQHLAdgB4gHqAfAB9gIAAg4CHgIvAkACTQJXAl0CYQJjAmYCaAJrAm0CbwJyAnUCeAJ9AoEChQKIAooCjQKRApkCpAKzAsYC2wLxAwYDGwMvA0EDUANfA2sDeAOEA5IDoQOzA8cD2wPuBAAEDwQcBCgEMgQ9BEkEVQRiBG8EewSFBI4ElgScBJ8EogSkBKcEqwSxBLkEwATFBMcExAS9BLMEqQSiBKIEqQS4BM8E7AUQBTgFZgWXBccF8wYUBiQGIAYFBdYFlQVJBPcEpQRZBBYD4QO/A7cDzQQCBFUEvwU3BbAGHwZ8BsUG+AcZBywHMwcwByEHBQbfBrQGiQZoBlkGYAZ9BqoG3wcRBzcHSgdLBzoHHgb8BtgGtAaPBmcGOgYFBcsFjwVUBR8E9ATSBLgEpASSBH4EZwRNBDAEEQPyA9MDsgORA20DSgMnAwgC6wLTAr0CqAKQAnYCWgI8Ah8CAgHnAcsBrgGNAWgBQAEYAPQA1wDCALQAqgCiAJYAhgBxAFkAQgAsABoACf/4/+T/y/+s/4j/YP84/xD+6P6//pL+Xf4f/df9hf0t/NL8efwj+9T7jPtM+xX65/rC+qj6lvqJ+n36a/pQ+if58Pmv+Wb5G/jV+JT4W/go9/j3yveb92v3O/cK9tr2qfZ49kb2E/Xg9a31fvVT9S/1EfT49OL0z/S79Kf0kvR89Gb0UPQ59CL0C/P0893zxPOr85HzdfNY8zrzHfMC8uny0vK/8qzymfKE8mzyUfIy8hHx7/HL8abxf/FW8Srw+/DM8J3wcPBH8CLwAe/k78nvsO+Y74Lvbu9d70zvPe8t7xvvBu7u7tPute6W7nbuV+457h3uAu3q7dPtve2o7ZPtf+1t7V3tUe1J7UftSO1L7U3tTu1L7UftQe087TrtPO1B7UntU+1f7W3tfu2T7aztye3o7gfuI+497lPuZ+567o3uoe617sju2e7n7vPu/+8N7x/vNO9N72rviO+o78jv6PAI8CfwRvBj8IHwnvC88NzxAfEq8VbxhfG08eDyCfIv8lPyd/Kc8sXy8PMe807zfvOw8+H0FPRH9Hn0qvTX9QD1JvVJ9W31k/W99er2GPZD9mb2ffaH9ob2f/Z39nf2gvab9sL29Pcr92L3lvfG9/P4H/hO+IL4vfj/+Uf5lPnl+jn6kPrq+0X7ovv+/Fv8uP0X/Xr94/5T/sb/N/+jAAMAVwChAOgBMgGIAewCXALNAzQDhQO3A8oDxAOwA54DmAOmA8gD+gQzBG0EowTXBQoFPwV7Bb4GBwZQBpYG1wcRB0gHfAexB+gIIQhZCI0IuwjiCQIJHwk+CWUJmgneCjIKkArxC04LnwvgDBIMOwxhDI4Mxw0PDWYNxw4uDpgPAg9rD9QQOhCcEPkRThGaEd8SIRJiEqIS3hMPEysTKxMLEtAShRI9EgkR9xIMEkQSlBLpEzUTahOGE4wThRN5E3ITdROBE5QTqhO/E9IT4xP0FAYUGxQzFE0UaBSDFJ4UuxTZFPkVGxU+FV8VgBWfFb4V3hYBFikWVRaEFrUW5RcUFz8XZxeNF7EX1Bf3GBgYORhZGHcYlBiwGMsY5hkAGRkZLxlDGVMZXxloGWwZbxlvGW4ZbBloGWQZXxlYGU8ZRhk7GTAZJhkcGRQZDBkDGPoY7xjkGNcYyxi+GLIYphiZGIsYexhqGFcYQxgvGBoYBxf0F+QX1RfIF7wXsRelF5kXjReDF30Xexd+F4YXkReaF58XoBebF5QXjBeGF4IXfxd6F3MXZxdYF0gXOxc0FzEXMhcyFywXHRcFFuYWxBakFokWchZeFkkWLxYQFesVwxWaFXEVSBUdFO4UtxR6FDkT+RO+E40TZxNPE0MTQRNIE1cTaxOCE5YTpBOmE6oTghNQExoS5xK+EqESjxKEEngSZxJQEjQSFRH6EeYR3BHbEd8R5hHqEekR4xHZEdARyRHIEc8R3RHvEgISDxISEgUR5xG2EXQRJRDOEHQQHg/OD4cPSw8XDukOvw6VDmoOPQ4PDeINtw2PDWsNSg0pDQcM4wy6DI4MXAwlC+gLpAtYCwUKrgpVCf8JsAlsCTQJCAjkCMYIqQiKCGcIPwgTB+cHvAeWB3kHZAdYB1QHVQdYB1kHVwdRB0gHPwc3BzIHMQczBzcHOgc6BzcHMgcqByIHGwcWBxMHEgcRBxAHDgcLBwgHBAb/BvkG8QbpBuAG2AbQBsoGwwa8BrIGpQaWBoUGcwZhBk8GOwYlBgsF7QXLBaoFjAVzBWIFWAVRBUwFRAU7BTAFJwUiBSAFIQUiBR4FEgT8BOAEwgSoBJYEkASSBJkEnwSfBJYEhgRyBF8EUQRKBEgESARGBD4ELwQYA/wD4APHA7QDpQOaA48DhAN2A2cDVwNIAzoDLQMeAwsC8wLXArgCmwKBAmwCWQJGAiwCCQHcAaYBbQE2AQcA4ADBAKUAiABmAEAAGP/x/8//tf+g/5D/gf9x/2D/UP9B/zP/Jf8T/vz+3/7A/qX+lf6X/qz+zv70/xH/Gf8G/tn+lv5I/ff9q/1l/Sf87vy4/Ib8WPwy/BX8APvz++n73vvP+7r7oPuA+1r7Lvr7+sH6gfo++f35wfmP+Wj5Tfk5+Sn5GPkF+O340vi1+Jj4ffhj+Ev4M/ga9/733ve695T3bvdM9y/3HPcR9w73D/cQ9w73Bfb19t32wfah9oL2ZPZI9jD2HPYO9gX2AfYA9gD1/fX29ej11PW89aL1ivV19WT1VvVK9UD1NfUr9SH1GPUR9Qr1BvUC9QH1AvUH9Q71GPUj9S71OPVA9Ub1S/VP9VH1UfVM9UL1M/Uh9Q30/fTy9O/08/T69QL1BvUD9Pj05/TS9Lz0qfSZ9I/0ifSH9If0h/SG9IX0gvR+9Hv0efR49Hj0d/Rz9Gv0XfRJ9DD0E/P189rzwvOu857zk/OK84TzgfOA84HzhPOI84vzj/OS85XzmvOi863zu/PL89zz7PP99Az0G/Qq9Dn0RvRR9Fr0YPRk9Gj0bvR29H/0ifSQ9JT0k/SP9Iv0ifSM9Jf0qvTD9OH1AfUi9UT1ZvWK9a/10vXz9g/2JPY09j72RfZK9lD2VvZc9mP2afZu9nX2f/aN9qL2v/bi9wv3Ofdq95z3zvf7+CH4PPhH+ED4KPgC99T3pveD93P3ffei9+H4NfiX+P/5Z/nH+h76afqn+tr7A/sk+z/7V/tt+4X7nvu5+9b78vwO/Cn8Qvxa/HH8iPyh/Lr81Pzv/Qz9K/1M/W/9k/23/dv9//4k/kn+cv6f/tD/A/84/2r/mf/C/+YABQAgADkAUABlAHoAjACcAKsAuADHANcA7AEIAS0BWwGTAdICFgJbApsC0wMCAygDRgNfA3UDjAOjA7oD0APlA/gECgQeBDMESwRkBH8ElwStBMAEzwTcBOYE7QTzBPYE9wT3BPcE9wT4BPwFAQUJBREFGQUiBSsFMwU6BUAFRgVMBVIFXAVoBXcFiAWZBagFswW5BboFugW7BbwFvwXCBcMFwAW6BbEFqQWkBaYFrwW/BdEF4gXuBfEF6wXbBcQFqQWLBWwFTwU1BR8FDAT+BPQE7QTqBOsE8AT7BQwFIgU8BVUFawV5BXoFbQVTBS0FAATRBKQEfQRfBEwEQwRBBEQESQRLBEoERAQ5BCwEHwQUBA4EDAQQBBcEIQQtBDkERgRRBFkEXgReBFwEWARTBFEEUAROBEkEPAQjA/wDygOQA1MDGALiArACgQJSAh8B6gGyAXsBSAEcAPYA1gC/AK8ArQC6ANsBEQFWAaMB6wIiAkICRgI1AhUB8gHVAcIBugG5AbsBugG2Aa4BpAGdAZkBmgGfAacBsQG9AcwB3gHzAgsCIwI5AksCWQJiAmoCcQJ3An4CgwKHAocChgKFAoQChQKKApECmQKgAqYCqgKvArUCvwLNAuAC9gMPAygDQANWA2kDegOIA5QDoAOrA7cDxQPVA+cD+gQMBB0ELQQ6BEYEUQRbBGQEbgR3BIAEiASRBJkEowStBLcEwATIBM8E1ATZBNwE4ATiBOIE4ATbBNMEzATHBMYEzQTcBPIFDwUxBVYFfAWhBcUF4wX6BgYGAwXwBcwFlgVRBQAEpwROA/kDswOBA2wDdwOkA+4EUAS/BTIFngYABlUGngbeBxQHPwddB2kHYQdGBx0G7wbGBqsGpAawBswG7wcPByYHMActByAHEAcBBvUG7QbkBtUGuQaPBlQGDQXABXUFMQT7BNMEtwSjBJMEgwRvBFcEOgQaA/cD0gOrA4MDWQMvAwgC5ALEAqkCkQJ8AmcCUwJAAisCFgH+AeMBxQGiAXwBVAEvAQ0A8gDcAMoAuQCnAJIAegBfAEYALgAZAAb/9P/e/8L/n/93/0v/H/73/tX+tv6Z/nj+UP4b/dn9i/0z/Nj8ffwm+9b7jvtO+xf66PrB+qL6h/pw+lf6OfoR+eD5pPli+R742/ie+Gj4OPgN9+P3uPeK91v3Kfb29sL2jvZa9ib18/XB9ZH1ZvVA9R/1AvTo9ND0t/Sf9If0b/RY9EL0LfQY9ALz7PPW877zpvOM83PzWPM+8yPzCfLy8tzyyfK38qfylvKE8nDyWPI88h3x+vHU8azxgfFT8STw9PDE8JbwavBC8B/wAO/k78zvtu+i747vfO9p71fvRe8x7xvvA+7o7sruq+6L7mvuTO4v7hPt+u3h7cntse2Z7YDtZ+1Q7TvtKu0e7RjtFu0W7RjtGO0V7Q/tCe0C7P/tAO0G7RLtIu027UztZe2B7Z7tvO3a7ffuEe4n7jvuTO5b7mnud+6F7pLun+6s7rruyO7a7u7vBe8f7zvvWO9275Xvte/V7/bwFvA18FTwc/CU8Ljw4fEO8T7xbvGd8cfx7vIR8jPyVfJ68qHyy/L18yHzTfN786zz4vQc9Fr0mfTV9Qv1O/Vl9Yz1svXd9gv2PPZs9pX2sfa+9rv2rfaZ9on2gvaJ9qD2xPby9yT3VPeB96n3z/f1+B34Svh9+Lf4+flD+Zb58vpX+sP7NPum/Bf8hvzx/Vz9yf43/qb/Ev93/9EAHwBjAKUA7AFBAagCHgKYAwoDZgOiA7oDtgOhA4oDfwOJA6kD2gQVBFIEiwS/BPAFIgVYBZYF2gYiBmoGrwbwBy4HZwegB9oIFQhRCIsIwgjyCRoJOglXCXUJmwnOChIKZQrCCyELeAvBC/gMHww+DF4MiAzCDQ8NbA3VDkUOtw8nD5MP+BBVEKkQ8xE2EXURtRH3EjsSfRK0EtUS2hLBEpISWBIlEgkSDBIxEm8SuhMCEzoTXRNrE2sTZhNjE2cTdBOHE5wTsRPDE9QT5hP6FBEULBRIFGMUfhSWFK4UyBTjFQIVIxVGFWoVjRWwFdQV+RYhFkwWehaqFtsXChc2F2AXhheqF80X7xgQGDIYVBh2GJcYtxjUGPAZCRkfGTMZRBlTGV4ZZxlrGWwZaxloGWMZXhlYGVIZSxlDGTkZLhkjGRkZERkKGQQY/Rj1GOkY2xjKGLgYphiVGIUYdRhlGFUYRBg0GCUYGBgMGAEX9BfmF9UXwxexF58XjxeCF3cXbxdpF2cXaBdtF3UXfxeGF4oXiReDF3sXchdrF2UXXxdXF0sXORckFxAXAhb9FwEXChcSFxMXCBbyFtIWsBaPFnUWXxZMFjUWGBXzFcgVmxVuFUUVHhT1FMcUkRRTFBIT0xOdE3UTXhNVE1gTYxN1E4kTnxOzE8MTyRPCE6MTdRM+EwQS0BKnEosSehJtEl8STBIyEhUR+BHjEdgR2hHkEfQSAhILEgoSARHyEd8RzRHCEb4RxBHREeAR7RHwEeURxxGWEVURBxCyEF4QDQ/ED4MPSQ8UDuEOrw59DksOGg3qDb0NlA1tDUcNIgz9DNgMsQyJDF8MMgwBC8kLiAtACvAKnQpJCfoJsglzCTwJDAjhCLkIkghrCEMIHAf1B9AHrAeNB3MHYQdVB1EHUwdXB1sHXAdbB1YHUQdMB0kHSQdIB0UHPwczByEHDAb2BuAGzwbCBroGtwa3BrkGvQbCBsgGzgbUBtcG1wbUBs8Gxwa+BrUGqgadBo4GfgZsBlsGTQZBBjkGMgYoBhgGAAXhBbwFlgVzBVUFPQUqBRoFCwT8BPEE6gTqBPEE/QUIBQ4FCgT7BOMExwStBJsEkwSSBJYEmgSYBI8EgQRxBGIEVwRRBE4ESwRFBDgEJQQNA/MD2wPHA7gDrQOjA5kDjAN7A2cDUwNBAzIDJQMZAwsC+QLiAsgCrQKWAoICcgJiAk0CLwIGAdQBnAFmATYBDwDxANcAvACdAHcATAAf//T/zv+t/5H/dv9d/0T/Lf8b/wz+//7x/t7+xv6r/pP+hv6K/qD+xP7q/wj/Ef7//tL+kf5F/fj9sf1x/Tf9APzK/JX8ZPw6/Bn8A/v0++j72PvD+6b7gvtY+yr6+frE+ov6T/oR+dP5mvlp+UL5JPkP+P347fjb+Mf4r/iV+Hv4YvhJ+DL4GvgA9+P3wved93T3TPcn9wj28/bm9uP24/bk9uL21/bF9qr2ifZk9j/2HfX/9ej12fXR9dD11PXY9dv11/XM9bj1n/WD9Wf1TvU69Sn1HPUR9Qj0//T49PL07fTp9Ob04vTe9Nr02fTc9OP07vT79Qn1FvUh9Sn1MPUz9TP1LvUh9Q308fTR9LH0lvSE9H/0hPSR9KH0sPS59Lr0s/Sn9Jf0iPR79HL0bfRt9G/0cvR09HP0b/Ro9GD0WfRS9E70SfRC9DX0IfQG8+PzvfOY83fzXPNJ8z3zNfMx8y/zL/Mx8zXzPPNF80/zWfNh82nzb/N2837ziPOV86bzuvPQ8+bz/fQT9Cf0N/RD9Ev0UPRU9Fj0XfRk9Gv0c/R69H70gPSB9IP0iPSR9J70rvTC9Nf07/UK9Sj1S/Vx9Zn1vvXd9fX2BfYO9hT2GPYe9ib2MPY49j/2RPZH9kv2VPZi9nf2k/a29tz3Bvcx91/3jPe49+H4AvgY+CL4HvgP9/r35/fc9+D39/gk+GT4svkK+WX5v/oS+l36nvrW+wP7KftJ+2P7fPuW+7H7z/vw/BP8N/xa/Hv8mfy0/M385Pz4/Qz9IP00/Uv9ZP2C/aT9yv3y/hv+Rf5v/pn+xf7y/yH/Uf+B/7D/3AAEACkASgBoAIUAoAC5ANAA4wDzAQABCQETAR8BMgFQAXoBsgH0Aj4CiALNAwcDNANUA2wDgAOVA6wDxwPiA/sEDwQdBCcEMAQ7BEsEYQR7BJUErQTBBNAE2wTmBPEE/QUJBRQFHAUgBSAFHwUdBR4FIgUpBTQFQgVQBV8FbAV2BXwFfgV+BX4FgAWHBZMFpAW3BcgF1QXaBdoF1gXSBc8F0AXTBdcF2wXeBd8F4AXkBewF+AYHBhQGHQYfBhgGBwXvBdIFswWSBXEFUwU2BR0FCAT4BO0E6ATpBPEE/gURBSsFSQVoBYUFmwWmBaIFjgVrBT0FCQTTBKEEeARbBEsERQRIBE8EVgRaBFkEUgRIBD4ENgQyBDUEPQRIBFMEXQRjBGUEZARgBFkEUARGBDoELwQoBCYEKgQxBDYENAQlBAMD0AOPA0cC/wK9AoICTwIeAe0BugGEAU0BGgDrAMMAnwB/AGQAUQBKAFgAfQC8AQ0BZgG7Af4CJwI0AikCDwHwAdQBvwGyAaoBpQGfAZcBjQGEAXwBdwF3AXwBhwGYAbABzAHsAgsCJwI+Ak8CWwJkAm0CdwKDApACmwKiAqQCogKeApsCnAKiAqwCuQLFAtAC1wLdAuMC6gL2AwYDGwMyA0oDYgN5A4wDngOsA7kDxQPPA9oD5wP0BAQEFAQmBDYERgRUBGEEbAR2BH8EhwSOBJMEmQSfBKcEsgS/BM4E3QTqBPQE+gT9BP8FAQUEBQcFCgULBQkFBQUABP0E/wUIBRoFMgVOBWwFhgWdBa8FvQXJBdIF1gXSBb8FmgVfBQ0EqQQ5A8oDaAMfAvoC+wMkA20DzgQ7BKsFFwV7BdgGLgaABswHDwdEB2gHdgdvB1cHNgcVBvoG7AbrBvMG/wcIBwsHBAb2BuUG1gbPBtEG3AbsBvgG+gbpBsMGhwY6BeUFkQVFBQkE3QS/BKsEmgSIBHEEVQQyBAwD4wO4A40DYQM1AwoC4QK8ApwCgAJqAlcCSAI6AisCGwIGAe0BzwGuAYoBaAFJAS0BFQD/AOgAzgCvAIwAZgBCACEACP/0/+X/1//E/6r/h/9d/y//Af7Y/rX+mP59/l3+Nf3+/bn9aP0O/LL8WfwI+8H7g/tN+x769frP+q36jPps+kj6H/nu+bb5ePk2+Pb4uviE+FT4KfgA99b3qvd790n3FPbf9qn2c/Y99gj11vWm9Xv1VfUz9RX0+PTd9MH0pfSJ9G/0VvRA9Cv0F/QD8+7z2PPB86rzk/N882bzT/M58yPzDfL48uTy0fLA8q7ynfKL8njyYfJF8iXyAPHW8afxd/FH8Rfw6vC/8JfwcvBO8C3wD+/z79rvxO+w75zviO9071/vSO8x7xju/u7j7sjuqu6N7m7uT+4x7hLt9e3Y7bztoe2H7W3tVe0+7SjtFu0I7P7s+Oz17PPs8ezt7Ofs3+zZ7Nbs2Ozh7PHtCO0j7UDtX+197Zrttu3Q7ejt/u4S7iTuM+5A7kvuVe5d7mbub+567ojume6s7sLu2e7x7wrvJe9B72Hvg++o783v8vAW8DfwWPB68KDwyfD38SfxVfGA8abxxvHh8fzyGfI68mDyifK18uPzEPM/83HzpvPh9CH0YvSi9N31EfU+9Wb1jfW29eT2FvZI9nb2mvaw9rf2sfaj9pT2ivaL9pn2s/bW9v/3KPdQ93X3mPe599z4APgp+Ff4jPjL+RT5afnM+jv6s/sx+7D8Lfyn/R79kf4D/nP+3f8//5X/4AAiAGEApgD4AVwBzwJHAroDGQNcA34DhAN6A2wDZwNzA5MDwgP6BDUEbQSiBNMFBAU4BXAFrgXxBjYGfAbCBwYHRweGB8MH/Qg3CHAIqAjdCQ4JOglgCYIJpgnQCgUKSAqWCukLOguBC7kL4wwDDCIMSAx9DMMNGQ17DeQOTQ6zDxIPaA+1D/kQOBB2ELgRAxFXEa8SAxJIEnISfRJqEkMSGRH8EfkSFxJPEpcS3xMaEz8TThNOE0cTQxNIE1YTahOBE5YTqBO4E8oT3xP5FBgUOhRbFHkUlBSrFMEU2RTyFQ8VLxVSFXgVnhXHFfEWHhZLFnoWqRbWFwIXLRdVF3wXohfHF+sYDhgwGFIYdBiVGLYY1RjyGQwZIxk2GUUZUhldGWUZahltGWwZZxlhGVkZURlJGUEZORkwGSUZGRkNGQIY+BjxGOoY4hjYGMoYuBikGI4YeRhkGFEYPxgtGBsYChf6F+8X5xfhF9wX1RfKF7oXqBeUF4IXdBdrF2UXYRdfF10XXRdeF2EXZRdpF2sXaRdkF1wXUxdLF0QXPRcyFyIXDRb1Ft8W0RbNFtQW4RbtFvIW6hbVFrYWlRZ3FmAWTxY/FioWCxXhFa8VexVJFRwU9RTOFKQUcRQ4E/wTxBOXE3oTbhNwE3wTjROfE7ATvxPME9MT0RPCE4ITVBMeEugSuRKVEn8ScRJnElkSRRIqEgsR7RHYEc8R0hHfEfESARIMEg8SCBH5EeYR0xHCEbgRthG6EcIRyBHGEbcRlhFkESQQ2hCMED8P+A+2D3gPPg8EDskOjQ5RDhgN4g2yDYYNXg05DRMM7AzEDJwMdQxPDCkMAgvXC6ULaQskCtcKhgo1CegJoglkCS0I+wjNCKEIdwhRCC0IDQfwB9UHugefB4cHcQdgB1UHUAdRB1QHWQddB2AHYQdhB2EHXgdXB0sHNwccBvoG1QawBo8GdAZgBlQGTgZOBlMGWwZlBnIGgAaOBpkGogamBqYGowadBpQGiAZ4BmUGTwY5BiUGFQYNBgsGDQYOBgkF+wXiBcAFmQVxBU0FLQUSBPoE4wTPBL4EtQS1BL8E0QTjBPIE9gTuBNsEwwSpBJUEiQSEBIMEgwSBBHsEcwRpBGAEWgRUBE4ERQQ3BCQEDAPyA9oDxgO3A60DqAOiA5sDjgN8A2UDTQM2AyIDFAMJAv4C8wLjAs8CuQKiAo4CfQJtAlsCQQIeAfIBwAGNAWABOwEfAQkA8wDaALoAkgBlADgADP/i/7v/lv9x/03/Lf8S/v3+7P7d/sv+tv6f/ov+gP6F/pr+vP7g/vz/Av7v/sH+gP41/ej9ov1i/Sj88vy7/If8V/wv/BL7/vvv++D7y/us+4P7Uvse+un6tvqE+lL6H/nr+bX5gvlT+Sr5Cfjv+Nj4xPiv+Jr4gvhq+FL4Ovgk+A339vfc97/3nfd491D3KfcG9uv22PbN9sr2y/bK9sX2ufaj9oT2XvY09gr14fW/9aX1lvWR9ZT1nfWl9an1pfWW9X/1YvVC9ST1CvT19OT01/TN9Mb0wPS+9L30vfS99Lv0tvSw9Kr0p/Sp9LD0u/TJ9NX03/Tm9Or07vTx9PL08PTo9Nj0vvSd9Hn0V/Q99C/0LfQ29Eb0WfRq9Hf0f/SA9Hz0dvRu9Gb0YPRc9Fv0WvRX9FL0SfQ89C30H/QT9Ar0AvP58+vz1fO285DzZfM78xby+vLo8t/y3fLf8uTy6/Lz8v7zC/Mb8yvzOfNG807zU/NW81rzX/Np83nzjfOl88Dz3PP19Az0H/Qu9Dn0QvRJ9E/0VfRZ9F30YPRi9GX0avRx9Hz0ivSa9Kr0uPTG9NP04/T49RT1N/Ve9Yb1qvXG9dn14/Xo9ez18fX59gP2DPYS9hP2EfYN9gz2EPYd9jL2TvZv9pP2u/bl9xT3R/d997P35vgR+DD4QfhH+Ef4RvhL+Fv4e/ip+OX5LPl3+cT6D/pU+pL6yfr4+yH7RPtj+4D7nPu5+9j7+vwf/Ef8b/yY/L784v0C/R39Nf1J/Vv9bP1+/ZL9qf3G/ej+D/46/mj+l/7H/vb/I/9Q/3v/pf/N//UAGwBAAGQAhwCoAMcA5AD+ARUBJwE1AT4BRQFLAVMBYwF+AacB3wIkAm8CuwMAAzgDYQN+A5MDpgO7A9UD8wQRBCoEPARHBE0EUwRdBG8EhgSgBLgEywTYBN8E5ATrBPcFBwUaBSwFOgVBBUMFQAU9BTsFPQVDBU0FWgVpBXkFiAWUBZ0FogWkBaQFpgWrBbUFxAXVBeUF8QX3BfgF9gX0BfQF+AX+BgcGDwYXBh0GJAYtBjgGRAZPBlQGUgZGBjEGFQX1BdMFswWUBXYFWQU9BSQFDwT/BPYE9QT6BQYFFwUrBUIFWQVxBYUFlAWbBZgFiQVuBUkFHQTtBL8ElQR0BF8EVgRXBF8EagRzBHgEdgRwBGgEYgRgBGMEbAR1BH0EfwR6BG4EXQRIBDQEIAQPBAID+AP1A/gEAQQNBBcEGAQIA+UDrQNmAxYCxwKAAkQCEgHlAbgBhgFQARYA3gCpAHsAUwAuAAv/6//T/8r/2AADAEkApAEIAWgBtwHsAgcCCgH8AecB0AG8AasBngGSAYcBfAFyAWsBaAFpAXEBgAGWAbMB1QH5AhsCOAJOAlwCZQJsAnQCfwKOAp4CrAK3ArwCvAK5ArYCtwK+AskC2ALoAvUDAAMIAxADGAMjAzIDRANZA28DhQOZA6wDvQPMA9oD5wPzA/4ECgQWBCMEMQQ/BE0EWgRnBHQEgASLBJUEngSmBKwEsgS6BMME0AThBPQFBwUYBSQFKgUsBSsFKgUsBTEFNwU+BUEFQQU8BTcFNQU5BUUFWQVwBYcFmQWkBaoFrQWyBboFwwXIBb4FnQVcBPoEfAPwA2YC8QKfAnwCiAK+AxQDfAPpBFIEsgUIBVYFoQXpBjAGdAayBuQHBwccByQHIwcdBxcHFAcUBxYHFgcRBwUG8AbTBrIGkgZ5BmwGbgZ+BpgGtAbHBsoGtQaIBkgF+gWrBWEFJAT0BNEEtQSbBH8EXwQ5BBAD5gO7A5ADZwM/AxgC8gLOAq0CjwJ1Al4CSgI3AiQCEAH5AeABxAGmAYkBbgFVAT8BKgESAPcA1QCsAH4ATgAi//z/4P/O/8P/uv+u/5r/ff9W/yn+/P7S/q/+kP5z/lH+Iv3l/Zb9PPzb/H38KPvg+6X7ePtS+zD7D/rt+sr6pvp/+lX6Jvny+bj5e/k8+P74w/iN+Fz4Lff/99D3n/ds9zj3BPbP9pz2aPY19gP10/Wl9Xz1VvU09RP09PTV9Lb0mfR99GT0TvQ59Cb0EvP98+fz0fO786fzlPOC83DzXvNM8znzJfMS8v7y6vLW8sLyrfKX8n/yZfJG8iPx+fHL8ZnxaPE58Q7w6fDI8KvwjfBv8E/wL/AQ7/Tv2+/E76/vmu+E72zvUu847x3vA+7o7s/utO6Y7nvuW+457hft8+3R7bDtku137WDtTO057SjtGO0K7P3s9Ozs7Ofs4+ze7Njs0uzN7Mvsz+za7O3tBu0k7UTtY+2B7Zvts+3I7dzt7u3/7g/uHe4o7jHuN+497kPuSe5T7mDuce6G7pzutO7L7uTu/e8a7zrvXu+F763v1O/68B7wQfBl8Izwt/Dl8RTxQPFm8YXxm/Gt8b3x0PHq8gzyN/Jo8p3y0vMG8zrzbvOl8930GPRT9Iz0wPTw9R31R/Vy9aD10fYD9jP2XfZ99pL2nPaf9p72oPan9rb2zfbr9wz3LvdP9233ifej97332ff4+Bz4Rvh5+Lb5AflZ+cD6M/qw+zP7ufw//MP9Q/3A/jf+pf8H/13/p//nACQAZgCyAQ0BdQHiAkwCpwLsAxkDMQM7A0IDTQNjA4QDrwPfBBIERQR3BKsE4AUYBVIFjwXNBg4GUgaXBt4HJQdoB6YH4AgUCEgIfAizCOwJIwlYCYcJsgncCggKPAp3CrkK/As7C3ELngvDC+YMDgw+DHwMxQ0WDWwNwg4TDl4Onw7ZDw8PRg+FD9MQNBCkERsRjRHoEiISNRInEgYR5hHaEewSHxJoErgS/BMqEz0TOhMsEx4TGRMiEzYTTxNpE38TkhOlE7oT1RP2FBsUQBRjFIIUnhS3FNAU6hUHFScVSBVrFZAVuBXjFhEWQhZ0FqUW0xb+FyUXSxdxF5cXvhfmGA0YMRhUGHQYkhiwGM0Y6RkDGRoZLhk9GUkZUhlaGWAZYxlkGWAZWRlQGUUZOhkxGSkZIRkZGQ8ZAxj2GOgY2hjPGMQYuRisGJ0Yixh2GGEYTRg6GCgYFxgGF/QX4hfSF8YXvhe5F7UXsBenF5oXihd5F2wXYxdfF10XXRdaF1UXTxdKF0cXRxdKF0wXTRdJF0MXOhcyFyoXIhcYFwoW9xbhFswWvha5Fr4WyBbRFtIWxxauFo4WbRZTFkIWORYwFiEWBRXaFaQVahUyFQIU2RSzFIwUXhQrE/cTyBOlE5MTkROaE6kTuBPDE8kTzBPLE8cTuxOlE1ETJRL1EscSoRKFEnQSahJgElISPBIeEfwR3BHFEbkRuRHDEdMR5RHzEfwR/xH8EfQR6RHfEdYRzxHLEcYRvBGpEYkRWhEeENgQjxBHEAQPyA+QD1oPIw7oDqkOZw4lDeUNqw12DUgNHgz2DNAMqgyFDGAMPQwbC/oL1wuvC4ALRgsDCrcKZwoWCcoJhQlICRII4gi1CIsIYwhACCEICAfyB94HyQezB5wHhAduB10HUgdOB1AHVgdfB2cHbgdyB3AHaQdaB0MHIwb7Bs8GoQZ1Bk8GMAYaBgwGBAYDBgUGCwYTBh8GLAY7BkoGWAZkBm0GcwZ2BnQGbgZiBlAGOQYfBgYF8gXmBeMF5wXtBfAF6wXcBcIFoQV8BVYFMgUQBPAE0AS0BJwEjgSLBJUEqAS+BNEE2wTZBMsEtQSeBIoEfAR1BHMEcwRyBG4EaQRiBFsEUgRJBDwELAQXBAAD6QPTA8EDtAOsA6kDpwOlA58DkgN/A2UDSAMrAxIC/wLyAuoC4gLYAsoCuAKiAo0CewJqAlkCRAIoAgMB2AGqAX8BWwE/ASoBGAEEAOoAyQCjAHoAUAAm//3/0v+m/3n/T/8p/wr+8v7e/sv+tv6h/o/+hP6I/pv+uf7a/vL+9v7g/rH+bf4f/c79gv0+/QD8x/yT/GP8Ovwa/AT79Pvl+9H7svuI+1P7GPrc+qT6dPpI+iH5+PnO+aH5c/lF+Rv49vjV+Ln4n/iI+HD4WfhC+Cv4FPf99+X3zPew95H3b/dL9yj3B/br9tb2yfbB9r72u/a29qz2m/aB9l/2N/YK9dz1r/WI9Wr1WPVS9Vb1X/Vo9Wz1Z/VY9T/1IvUD9Ob0zvS69Kn0nPSQ9Ij0g/SB9IP0hvSI9If0g/R99Hf0dPR39H70iPSS9Jj0mPSU9I30iPSH9Ir0kPSU9JP0iPR09Ff0N/QZ9AHz8/Pw8/f0BvQZ9C/0RPRU9F/0Y/Ri9Fv0U/RJ9ED0NvQs9B70DvP68+Tzz/O987DzpfOc84/zevNe8zrzEfLp8sbyrfKd8pjym/Kk8rDyvvLN8t7y8PMC8xTzI/Mw8zjzPPM+8z/zRPNN81vzcPOI86PzvvPX8+70AvQU9CT0M/RB9Ez0U/RW9Fb0UvRP9E70UvRd9G30gfSV9Kj0t/TE9ND03vTz9RD1M/Va9X/1nvW09cH1x/XK9c/11vXg9en17vXs9eP11fXH9b71vfXI9dz1+fYa9kD2avaa9tL3E/da96P36Pgk+FH4b/iA+In4kPid+LX42PkI+UH5gvnF+gf6RvqA+rT64vsK+y77T/tu+4z7rPvN+/H8F/xB/G38mvzI/PT9Hv1D/WP9fv2V/ar9vf3S/en+A/4h/kP+Z/6P/rr+5v8T/0D/a/+V/73/4gAGACoATgB0AJoAvwDjAQIBHQEzAUMBUAFaAWIBaQFwAXkBhwGeAcEB8QIuAnQCvAMBAzwDbAOQA60DxwPiA/8EHAQ3BEsEWQRgBGYEbgR9BJIErATFBNoE5gTqBOsE6wTyBP8FEwUqBT4FTQVTBVIFTgVKBUgFSgVQBVkFZAVvBXoFhwWUBaEFrQW4BcEFygXUBd8F7AX5BgUGDgYUBhgGHAYhBioGNQZBBk0GVgZcBmAGZAZpBnAGdwZ7BncGagZTBjQGEAXsBcoFrQWSBXoFYQVJBTMFIAUTBQ4FEQUaBScFNgVCBU0FVQVcBWIFaAVtBXAFbwVmBVQFOQUVBOsEwQSbBH4EbwRtBHcEhwSYBKUEqQSkBJkEjASBBH0EfgSDBIcEhQR7BGgETgQxBBcEAgPzA+sD6APpA+oD6gPoA94DywOpA3gDNwLsApwCTwIMAdUBpwF/AVQBJADrAK4AcAA4AAr/5f/H/6v/kP94/2j/Z/98/63/9wBSALUBEwFiAZsBvwHPAdAByQG9Aa8BoQGSAYUBeQFwAWsBbAFyAX4BkQGqAcgB6wIOAjACTQJiAnECegJ/AoQCjAKXAqQCswK/AsgCzQLPAtAC0wLZAuMC8AL+Aw0DGgMmAzIDPgNNA14DcgOGA5oDrgO/A9AD3wPuA/4EDQQcBCoENgRCBEsEVARcBGQEbQR2BIEEjQSaBKcEtAS/BMoE1ATgBO4FAAUVBS0FRAVYBWUFaQVmBV8FVwVRBVEFVgVdBWUFaQVqBWkFaQVsBXYFhQWXBacFsQW1BbUFtQW6BcUF0QXXBcgFmQVDBMUELAOKAvcCiAJLAkYCdALHAzADnQQBBFUEmATNBPkFIgVMBXkFqgXdBg8GPgZoBo0GrAbEBtgG5wbxBvgG+Qb0BuYGzQapBnoGRgYSBegF0AXQBegGFAZKBnsGnAaiBosGWQYVBckFfwU8BQME1ASrBIUEXwQ2BAwD4gO3A44DZwNCAx8C/wLhAsUCqQKOAnICVwI6Ah4CAQHkAccBrAGRAXgBYAFJATIBGQD9ANwAtgCKAFwALQAC/97/w/+z/6n/ov+Y/4f/bP9H/xz+7/7G/qT+iP5t/kz+HP3b/Yb9I/y8/Fr8BvvF+5f7d/tg+0v7MvsU+vH6yfqe+nD6P/oK+dH5lflY+Rv44fiq+HX4QfgO99r3pfdw9zz3CvbZ9qr2e/ZM9h317vXB9Zb1bfVF9R70+PTU9LL0lPR69GT0UfQ+9Cv0FvP/8+jz0/O/86/zofOU84bzdvNk81HzPfMq8xfzA/Lt8tTyuvKd8n/yX/I88hfx7fHB8ZLxZvE98Rvw/vDn8NDwt/Ca8HjwVPAx8BDv9O/d78jvs++c74PvZu9I7yrvDO7x7tbuvO6h7oTuZu5E7iHt/O3Y7bXtlu177WXtU+1D7TTtJe0V7Qbs+ezt7OXs3+zb7Nfs1OzS7NTs2ezm7PntEe0u7Uztae2F7Z7tte3J7dvt6+357gbuEO4Y7h7uIu4m7inuLu427kLuUu5m7n7ul+6y7s3u6u8H7yfvSe9s75Lvt+/b7//wI/BJ8HLwnvDL8PfxHvE98VLxXvFl8WrxdPGH8abx0fIH8kLyf/K78vTzKfNd85DzxfP89DX0bvSm9Nz1EPVC9XP1pPXU9gP2LfZT9nL2ivad9q72vvbR9uf3Avcg9z/3Xfd494/3ovex9773zffg9/j4GPhC+Hf4ufkH+WP5zPpB+sL7SvvY/Gj89v2A/gD+dP7a/zD/ef+4//QAMwB5AMkBIgF/AdkCKAJqAp0CxALkAwMDJANKA3IDmwPFA+4EGARHBHsEtgT0BTQFdAWyBfAGLgZxBrYG/AdBB4AHuAfqCBoITAiECMEJAwlECYEJtgnkCg4KOQpoCp0K1QsOC0ILcQubC8IL6gwXDEsMhwzJDQ4NVA2XDdQOCA42DmEOjw7KDxwPhxAKEJkRIxGVEeASABH7EeIRyxHKEeoSKRJ6EssTChMsEzETIhMLEvkS9hMCExoTNhNSE2sTgROYE7MT1BP5FB8UQxRjFIAUmhS2FNUU+BUdFUMVaBWLFa8V1hYAFi8WYhaVFscW9BcdF0MXZxeNF7QX3RgHGDAYVRh2GJQYrxjJGOMY/BkTGScZNxlDGUsZTxlSGVQZVBlRGUsZQRk0GScZGxkRGQoZBBj+GPYY6hjbGMoYuRipGJsYjRh/GHAYXhhLGDgYJhgWGAgX+xftF94XzxfAF7QXrBelF6EXmxeSF4YXdxdqF14XWBdUF1QXUhdOF0cXPxc5FzcXOhdAF0YXSBdGFz4XMhcmFxwXExcLFwEW9BbjFtIWxBa8FrsWvha+FrYWoxaEFmEWPxYoFhwWGhYaFhMV/RXVFZ8VYhUnFPQUyhSlFIIUXBQ0FAsT6BPSE8oTzxPbE+cT7hPsE+IT0hPAE6sTkxN2Ex4S9xLPEqsSjRJ4EmsSYRJWEkQSKRIHEeMRwRGpEZwRmhGiEbARwBHPEd0R5xHuEfMR9RH2EfUR8hHqEdoRwBGZEWMRIRDXEIoQQRAAD8gPmQ9uD0MPFA7dDp8OXA4WDdANjQ1PDRYM5Ay3DI8MbAxNDC8MEwv2C9YLswuJC1gLHgrbCpIKRgn6CbIJcAk2CQEI0QijCHYITAgmCAUH6gfWB8YHuQesB50HjQd8B20HYwddB14HZAdtB3cHfweCB30HcAdZBzgHDwbhBrAGgAZUBi8GEgX9Be8F5wXiBd8F3wXgBeQF6wX2BgQGFAYmBjgGSAZVBl0GXwZaBk4GOgYhBggF8QXhBdoF3AXkBewF7wXpBdkFvgWcBXUFSwUgBPUEywSkBIQEcARqBHIEhASbBK8EugS5BK0EmgSGBHYEbQRqBGsEbQRtBGoEZARaBE4EQAQvBB0ECQP2A+MD1APJA8IDvwO/A74DvAO3A6wDmgOBA2IDQAMdAv8C6ALaAtICzQLIAr4CrwKbAoYCcgJgAk8CPQInAgkB5AG7AZMBbwFSATwBKQEVAP0A4QDAAJ4AfABZADUADv/i/7P/gv9T/yv/C/7w/tn+xP6u/pz+kf6R/p/+uP7U/uj+6v7S/qH+Wv4G/a/9W/0P/M38lfxl/D78H/wJ+/f75/vT+7X7ivtV+xf61/qb+mf6PPoY+fj51/m0+Y35ZPk6+RH46vjH+Kj4jPhy+Fn4Qvgq+BL3+ffd98D3ofeB92D3P/cg9wT26/bX9sf2vPay9qr2oPaU9oT2bvZU9jT2DvXj9bb1ifVh9UL1LvUn9Sr1MvU59Tr1MvUg9Qf06vTO9LX0ofSQ9IH0c/Rl9Fj0T/RL9Ev0TvRS9FT0U/RQ9E70TvRR9Fn0YfRm9GT0W/RL9Dn0KfQh9CL0LPQ59ET0SPRB9C/0FfP289jzwPOw86vzsvPE89zz+fQU9Cr0OfQ/9D30NfQr9CH0FvQJ8/nz5fPM87Dzk/N482PzUfNC8zLzH/MH8uryyvKr8pHyfvJ08nTye/KI8pjyqvK78s3y3fLs8vrzBvMQ8xfzHPMg8yXzLfM580nzXvN1847zpfO789Dz5PP49A30IvQ09EP0TPRO9En0QvQ79Dj0PPRI9Fv0cvSK9KH0s/TE9NT05vT+9Rv1PPVd9Xv1kfWe9aX1qPWr9bH1ufXC9cn1yPW99av1lPV/9XL1cPV79ZH1sPXV9gD2MvZs9rL3AvdY96/3/vhA+HD4j/ih+K34uPjK+OX5C/k7+XH5rPno+iT6XfqS+sP67/sX+zr7W/t8+537v/vl/A38Ofxo/Jj8y/z9/S79W/2E/af9xf3f/fb+Dv4n/kP+Yf6B/qH+wv7i/wP/Jf9I/23/k/+5/98ABAAqAFAAeQCjAM0A9gEbATkBTwFdAWYBbAFyAXgBgAGJAZQBogG2AdMB+gItAmsCrgLyAzIDagOaA8MD5wQHBCUEPwRUBGMEbQRzBHsEhwSZBK8ExwTbBOgE7ATqBOgE6gT0BQcFIAU4BUoFUwVTBUwFRQVABUIFSQVUBV4FZwVuBXQFfQWIBZkFrAXBBdcF6gX8BgsGGAYiBikGLgYxBjUGOwZGBlUGZgZ2BoMGigaMBooGhwaFBoUGhQaBBnYGYwZGBiMF/gXbBb0FpQWQBX8FbQVbBUkFOwUxBS8FNAU9BUcFUAVUBVQFUQVNBUsFTQVTBVwFZAVnBWIFUQU1BRAE6ATCBKYElwSXBKMEtwTLBNgE2gTPBLoEoQSLBHwEeAR8BIMEhQR/BG4EVQQ6BCMEFAQPBBAEEwQQBAED4wO2A3wDOQLwAqUCWgIRAc0BjwFbAS8BCADjALoAiQBSABb/3P+q/4T/bP9f/1n/VP9O/0n/Sv9W/3T/pP/kAC4AewDDAQEBMwFXAXEBgwGNAZIBkQGMAYUBfgF3AXUBeAGAAY4BoQG5AdUB9AIVAjUCUwJtAoACjQKTApYCmAKcAqMCrgK7AsoC1wLiAuoC8AL2AvwDBQMPAxwDKgM6A0sDXgNyA4gDnwO2A8sD3gPuA/0ECwQaBCkEOQRKBFkEZgRwBHYEeQR7BHwEfwSGBJAEnQStBL0EzQTcBOkE+AUIBRsFMwVOBWoFhQWbBacFqQWhBZEFfwVvBWYFZAVqBXQFfwWJBZAFlgWcBaQFrQW2Bb0FvgW9BboFvAXFBdMF4AXfBcIFfQUNBHgD0gMzArQCaQJcAokC4gNSA8YELAR7BLIE0gTkBO4E9wUBBQ8FIwU9BVwFgAWoBdAF9wYaBjYGTAZbBmYGbAZtBmcGVwY7BhAF2gWeBWkFRQU8BVQFiQXSBiIGaAaVBqIGjAZZBhIFwgVyBSkE6gS0BIUEWwQyBAoD4QO2A4sDYQM5AxQC9QLaAsICrAKVAnsCXgI+AhsB9wHVAbUBlwF8AWIBSAEsAQ4A7ADIAKIAegBSACoABP/i/8X/rv+d/5H/h/96/2f/Sv8l/vn+zf6m/ob+bf5X/jn+Df3M/Xb9EPym/EL77/uz+477eftt+2D7T/s1+xL66fq7+or6Vvog+eb5q/lw+Tf5AfjN+Jz4a/g5+Ab30ved92j3NvcE9tT2pfZ29kj2GvXs9b71kfVk9Tb1CvTg9Lr0mvSA9Gv0WfRH9DL0HPQE8+3z2fPJ87zzsvOm85jzhvNx81zzSPM18yPzEPL68t7yvvKb8nbyUfIt8grx5/HC8Z3xefFZ8T3xJfEP8Pjw3PC68JTwbPBF8CPwCO/y79/vy++175rve+9Z7zfvF+747tvuv+6k7onubu5R7jLuEu3x7dDtse2V7XztZ+1T7UHtLe0a7Qfs9ezn7Nzs1ezR7NDsz+zS7Nbs4Ozu7QHtGe007VDtbO2I7aLtu+3S7eXt9e4A7gfuC+4N7g7uD+4Q7hPuF+4d7ifuNe5J7mLuf+6f7sDu4O8A7x/vPe9a73jvl++379nv/vAl8E3wdvCc8L7w2fDr8PTw9vD18Pbw/fEQ8TDxXfGW8dfyG/Je8p3y2PMP80XzfPO38/X0NvR39Lf09fUu9WL1k/XB9ez2FfY79l72fvaa9rX2zvbp9wX3I/dD92T3g/ee97T3wvfL98/31Pfc9+v4BPgp+Fr4l/jh+Tb5mfoI+oT7C/uc/DD8xf1U/dj+Tv60/wr/U/+U/9EAEABSAJsA5wEyAXkBuQHvAh4CSwJ4AqkC3wMWA0wDfAOmA8sD8AQZBEoEhATGBQkFTAWLBcgGAwZBBoMGxwcLB0sHhQe5B+sIHwhYCJoI4AkoCWwJqAncCgkKNQpiCpQKyQr/CzMLYguNC7YL3gwIDDgMbwysDO4NNA14DbcN7Q4YDjwOXw6MDs4PLQ+nEDQQwhE+EZYRxBHNEcMRuhHFEe4SMBKBEswTAxMeEx0TDBL2EuoS7BL8ExYTMhNNE2UTfBOWE7UT2hQAFCUURhRiFHsUlhS1FNoVBBUwFVsVhBWpFc4V9BYfFk4WgRa1FucXFBc8F2EXhhesF9QX/hgoGFAYdBiUGLEYyxjkGP0ZFRkqGTsZRxlNGVAZTxlNGUkZRBk9GTQZKBkaGQ0ZARj3GPAY6hjjGNoYzhi+GKsYmRiHGHYYZxhXGEcYNRgiGA8X/hfwF+UX3BfUF8wXwxe6F7IXqxekF54XlheMF4AXcRdjF1cXThdJF0YXQxdBFz0XOxc7Fz8XRxdQF1cXWBdRF0MXMRcfFw8XBBb8FvQW6RbbFssWuxavFqgWpBafFpMWfhZfFjwWHBYFFfwV/BYAFfwV6hXGFZEVVRUZFOUUvRSeFIUUbRRUFD0UKhQfFB4UJBQrFC0UJBQQE/ITzxOqE4cTZRNDEvUS1RK2EpoShBJ0EmkSXxJQEjkSGhH0Ec0RrBGUEYgRiBGQEZsRpxGwEbgRvhHEEcwR1RHgEeoR8BHuEd4RvxGOEUwQ/xCtEF8QGg/hD7QPkQ9wD0wPIg7vDrIObw4mDdsNjw1FDQAMwgyNDGMMQgwoDBEL+QvdC7sLkgtiCywK8QqyCnAKLQnqCaoJbQkzCPwIxwiRCFsIJwf2B8wHrAeXB4sHiAeIB4oHigeIB4UHgAd9B34HgQeHB40HkgeQB4cHdAdWBzAHAwbTBqMGdQZMBioGEAX8Be8F5gXfBdkF0wXOBcwFzQXTBeAF8QYGBhwGMQZBBk0GUwZSBksGPgYsBhgGBQX3BfEF8wX8BgcGEAYQBgYF8AXOBaQFcwU+BQgE0wSjBHwEYgRXBFoEaQR8BI0ElgSUBIoEegRrBGAEXAReBGMEZwRoBGQEXARQBEEEMAQfBA8D/wPzA+wD6APpA+sD7QPtA+cD3QPMA7UDmQN4A1MDLQMIAukC0QLDArwCugK5ArMCpwKWAoECbAJYAkYCMwIdAgIB4gG/AZsBewFgAUkBNAEeAQMA5ADDAKMAhABoAEwALQAH/9v/q/96/07/KP8J/vD+2f7E/rH+pf6j/qz+v/7V/uT+4v7H/pH+Rf3q/Yr9Lvze/Jz8aPxB/CX8Efv/++371vu2+4v7VvsZ+tv6n/pq+j76Gfn5+dv5vPmb+Xj5Vfkx+Q747fjM+Kz4jfhw+FT4Ofge+AD34fe/95v3ePdV9zX3GPb/9un21/bG9rb2pvaV9oT2cfZe9kr2NvYg9gb16PXE9Zz1cvVM9S31GvUT9RX1G/Ue9Rn1CvTy9NT0tfSa9IT0dPRo9Fv0TvQ/9C/0IfQY9BX0F/Qc9CH0JfQn9Cf0KPQs9DD0NfQ39DL0JvQT8/7z6vPd89rz3/Pp8/Xz+/P58+zz1fO485jze/Nl81rzW/Np84Hzn/O+89nz7fP58/70APQA9AD0AfP/8/jz6vPT87TzkPNr80jzKfMN8vTy3fLF8q/ymfKH8nnycPJu8nLye/KI8pjyqPK28sPyzfLV8tvy4fLn8u3y9fL98wjzFfMk8zbzSfNe83Pzh/Oa863zwvPY8+/0BvQb9Cr0MvQy9C30JfQf9B/0J/Q39E70afSE9J70tfTL9N/09vUO9Sf1QfVY9Wr1dvV89X71f/WC9Yf1jfWT9ZX1jvWA9Wz1VvVE9Tz1QfVS9W71k/W/9fH2LPZy9sL3Gvd29874G/hX+IH4nPir+Lf4xvjc+Pr5IflN+X75sfnn+h76V/qQ+sn6/vsv+1v7gvun+8v78PwZ/EX8dPym/Nn9Df1B/XL9oP3K/e7+DP4m/j7+Vv5v/ov+qf7J/uj/Bf8h/zv/V/90/5T/uP/eAAYALwBZAIQAsADdAQkBMQFUAW4BfwGJAY0BjgGQAZQBmgGiAa0BugHNAeYCCgI5AnECsQLzAzQDbwOkA9ED+AQbBDkEUgRmBHQEgASJBJQEowS0BMcE1wThBOME3wTZBNgE3wTxBQwFKgVEBVMFVgVPBUMFOQU1BTsFRwVXBWUFbwV0BXYFewWDBZMFqQXDBd8F+gYSBiYGNgZBBkcGSgZLBk0GUgZcBmoGegaJBpQGmQaZBpQGjgaJBoQGgAZ4BmkGUwY2BhMF8AXRBbYFogWTBYcFewVvBWMFWAVRBU4FTwVTBVgFXAVeBV8FXwVgBWQFawV0BX0FggWABXUFYAVEBSQFBATpBNcE0QTVBOAE7gT4BPkE7gTXBLgEmAR8BGsEZgRrBHQEeQR1BGUETAQzBCEEHAQkBDMEPQQ0BA4DxgNhAukCagHyAYwBOgD9ANAArgCSAHcAWwA8ABb/7P+8/4z/X/88/yX/Hf8i/y//QP9P/13/af94/4z/p//K//MAHgBJAHEAmAC+AOMBBwEqAUoBZAF2AYEBhgGIAYkBjAGTAZ8BrwHCAdkB8wIPAi4CTgJsAoYCmQKkAqgCpwKkAqUCrAK6As0C4wL3AwcDEgMYAxwDIAMmAzEDPwNQA2QDegORA6oDxAPdA/UECwQeBC4EOwRIBFYEZARyBIAEigSRBJMEkQSPBI4EkASZBKYEtwTJBNsE6wT5BQcFFgUpBUAFXQV8BZsFtwXMBdYF1QXJBbYFoAWLBX0FdwV7BYYFlQWkBbIFvAXCBcYFxwXGBcIFvAW2BbMFtwXBBc0F0gXCBZIFOQS6BCIDiQMJArkCpgLQAysDogQcBIcE2AUKBSQFLQUsBSYFHwUXBQ8FBwUCBQMFCwUaBS4FRAVaBW0FegWFBYwFkQWVBZYFkAWABWYFQwUbBPcE4QThBPsFLwV1BcEGCAY7BlMGTgYuBfgFtgVuBSgE6ASvBH4EVAQuBAoD5QO8A5EDYgM0AwgC4gLDAqkClAKAAmsCUgI0AhMB7wHLAagBhwFpAUwBLgENAOoAwwCaAHEASQAkAAL/5P/J/7D/mf+E/3H/X/9M/zT/F/7z/sv+o/5//mH+SP4w/hH94/2f/Uj84/x6/Br7zfuY+3r7bfto+2L7Vfs++x769frG+pP6Xfok+er5sfl8+Ur5Hvj1+M74p/h8+E34Gvfl9673d/dB9wz22Pal9nT2RfYX9en1u/WM9Vv1K/T99NT0sPST9Hv0ZvRR9Dz0JPQN8/fz5fPX88zzwvO186Pzj/N382HzTfM78yvzGfMB8uPyvvKV8mzyRvIl8gfx7PHS8bfxm/GA8WXxS/Ew8RLw7/DH8JvwcPBJ8CnwEe/+7+3v2u/E76jvie9o70fvJ+8J7uzuz+607pjufe5j7kjuK+4O7e/t0O2y7ZXte+1i7UrtMe0Z7QLs7ezc7M/sxuzB7MDswezF7M3s2uzr7QHtGu007VDtbO2J7aXtwe3b7fDt/u4F7gfuA+3+7fnt9e3z7fPt9u377gPuEe4l7kDuYe6F7qzu0e7z7xHvLO9F713vdu+S77Dv0u/18BfwNfBO8F/waPBr8GnwZvBm8G3wffCZ8MLw9vE18XvxxfIO8lbymfLa8xjzVvOW89j0HfRh9KP04vUa9U71fPWn9c/19vYb9j/2YfaB9p72ufbU9u/3Dfcs9073cPeR9633wvfR99n34Pfp9/n4E/g4+Gr4qPjy+Ub5pvoS+ov7D/ub/Cv8uv1C/b/+Lv6O/uL/Lf9x/7P/9gA6AH8AwwECATsBawGVAbsB4wIQAkcChQLIAwoDRwN5A6QDyQPvBBsETwSLBM0FEAVRBY8FzAYKBksGjQbRBxIHTweIB78H+Ag1CHgIvwkHCU0JjAnFCfkKKwpeCpIKyAr8Cy0LWguCC6oL0gv/DDEMawysDPQNQQ2QDdsOHg5UDnwOnA68DugPLA+JD/wQdxDoEUEReRGUEZ4RqBHBEfASMhJ7Er0S6xMBEwES9xLsEusS9hMLEyQTPRNSE2UTeROTE7MT2BP/FCUURhRiFH4UnBTAFOkVFxVFFXIVnBXDFesWFRZDFnUWqBbbFwsXNhddF4MXqBfPF/cYIBhIGG0YjxitGMkY4xj8GRMZKBk5GUUZTBlOGUsZRhlAGTkZMRkoGR4ZEhkGGPoY7xjlGNwY1BjKGL8YsRigGI0YehhmGFMYQBguGBsYCBf2F+UX1hfLF8MXvxe8F7sXuBe0F68XqBegF5cXjBeBF3QXZxdaF04XRRdAFz4XPhdAF0QXSRdPF1YXXhdjF2MXXBdOFzkXIhcKFvYW5hbZFssWuxanFpAWehZpFmAWXBZbFlcWTBY4Fh4WBBXwFeUV4xXjFd8VzhWtFX0VRBUMFN0UuhSjFJcUjhSHFIAUehR1FHIUbxRnFFYUOxQUE+YTtBOGE1wTNxMWEuASxhKtEpYShBJ2EmwSYRJQEjYSFBHrEcMRoRGKEYERgxGMEZYRnBGcEZcRkRGMEY0RlhGnEbwRzhHWEc8RsxGDEUEQ9BClEFwQIA/wD8wPrQ+PD2sPPw8JDswOhw49DfANnw1ODQAMuQx9DE4MLAwTC/0L5QvGC54Lbgs4Cv4KxAqLClIKGgniCakJbwk0CPgIugh7CDsH/QfEB5QHcAdaB1IHVgdhB3EHgAeMB5MHlweZB5kHmgebB5sHmAeQB4EHaQdJByIG9wbLBqAGeAZUBjYGHQYKBfwF8gXrBeQF3gXZBdYF1gXdBekF+wYPBiMGMwY/BkUGRgZEBkAGOQYxBicGHgYXBhUGGQYjBi4GOAY6BjIGHQX8BdEFngVnBS0E8wS9BI8EbgRaBFYEXQRrBHkEggSDBH0EcgRnBF8EXARdBGAEYgRiBF4EVwROBEMEOQQwBCgEIgQfBB8EIAQjBCMEHgQTBAAD5wPIA6YDgQNbAzUDEQLwAtUCwQK2ArMCswK0ArECqAKZAoUCbwJYAkECKQIQAfQB1gG3AZoBgQFsAVkBRQEtAQ4A6gDDAJ0AfABfAEYALAAO/+j/vf+P/2P/PP8d/wP+7f7a/sr+v/69/sT+1P7l/u7+5f7D/ob+MP3L/WL9APyt/G38QPwi/BD8Avvy+9v7u/uP+1r7IPrl+q76fvpV+jH6Efnw+c35qfmG+Wb5SPku+RT4+Pja+Lr4l/h0+FL4MPgO9+v3xfee93f3Uvcw9xP2+/bn9tX2w/aw9pv2gvZp9k72NfYg9g31/vXv9d71yPWq9Yb1X/U69R31CvUC9QL1BPUB9PX03/S/9Jz0evRe9Ev0PvQ29C70JPQW9Abz9vPp8+Lz4PPk8+nz7vPy8/Pz8/Py8/Lz8/Py8+7z5fPY88jzuPOr86TzovOk86fzpvOf85DzefNc8z7zIvMM8wHzAfMO8yTzQPNe83nzjvOe86rztfPC89Hz4vPy8/vz+vPt89TzsfOI81zzMPMG8uDywPKl8pDygvJ58nbydvJ58n/yh/KR8pzyp/Kx8rnyvfK+8r3yvvLA8sXyzvLZ8ufy9vMG8xbzJ/M480jzWfNq833zk/Or88Xz3vPz9AL0CPQH9ALz/fP89AL0EPQm9EH0X/R89Jn0s/TN9OX0/PUT9Sf1OPVG9U/1VfVX9Vf1V/VY9Vn1WvVa9Vf1T/VE9Tf1LPUn9Sz1PPVY9X71rPXh9hz2X/ap9vv3UPel9/L4M/hj+IP4l/il+LL4xfjg+QH5KPlS+Xz5qfnY+g76SfqL+s/7E/tT+4z7vfvo/A/8N/xh/I78vvzw/SP9Vv2H/bf94/4M/jD+T/5o/n3+kf6k/rr+0v7u/wz/K/9J/2f/hv+n/8v/8wAeAEoAeAClANEA+wEjAUcBaAGDAZgBqAGyAbkBvgHBAcQByAHMAdIB3QHvAgoCMQJiApsC2QMXA1IDhgOzA9sD/gQfBD0EWARwBIQElgSlBLMEwgTQBNwE4wTjBNwE0wTKBMoE1ATsBQsFLQVKBVsFXgVXBUwFQgU/BUYFVAVkBXIFewV/BX8FgAWGBZIFpAW8BdYF8QYLBiIGNgZHBlMGWwZgBmQGaAZuBncGgQaKBpEGkwaSBo4GigaFBoIGfQZ1BmcGUgY3BhcF9gXYBb8FqwWdBZMFiwWDBXsFcwVrBWQFXgVbBVoFXQVkBW8FfgWQBaQFtgXCBcQFvAWnBYoFaAVGBSkFFQUKBQYFCQUNBRAFDgUFBPUE3gTBBKIEgwRqBFkEUARNBEkEPwQrBA0D6gPMA7wDwAPXA/cEDQQGA9QDcALjAjsBkQD5AIMANAAJ//j/8//x/+r/2v/D/6f/iP9o/0n/L/8c/xP/Ff8i/zX/Tv9m/37/kv+l/7f/yf/c/+7//gANABwALwBHAGgAkwDGAPwBMQFfAYIBmQGlAaoBrAGvAbUBwAHPAeEB9gIPAisCSgJrAooCpAK1Ar0CvQK5ArcCuwLIAt4C+AMTAykDOAM/A0MDRgNLA1QDYgNzA4UDmQOtA8MD2wP1BA8EKAQ/BFIEYgRuBHkEgwSNBJUEmwSdBJ0EmwSZBJsEogSvBMIE1wTrBP0FCwUWBSMFMgVIBWMFgwWjBcEF1wXlBekF5AXXBccFtQWmBZsFmAWcBaYFtAXCBc4F1QXYBdYF0QXKBcIFugWzBbAFsAWyBbAFowWABT8E3gRkA+MDcAMjAwwDLQN/A+8EZATKBRUFQQVVBVkFVwVUBVAFSgU/BSwFFQT7BOUE1QTMBMsEzgTSBNYE2ATaBNoE2ATWBNAExwS6BKoEmQSKBIEEgASMBKMExATrBRQFOAVUBWYFbAVmBVUFPAUaBPIExgSZBG4ERgQiBAED4AO9A5YDagM8Aw4C4gK7ApkCfAJjAkwCNAIZAfwB3AG6AZYBcwFSATMBFgD4ANgAtQCPAGcAQAAb//n/2/++/6L/hf9n/0n/LP8Q/vT+2P67/p3+fv5h/kX+KP4H/dz9ov1W/Pr8l/w2++H7oft3+2D7WPtU+0/7Qvss+wz65Pq2+oP6TPoU+d75q/l/+Vn5Ovkd+QD44Pi5+Iz4Wfgi9+r3sPd39z/3CfbV9qP2dPZG9hn16/W89Yz1W/Us9P/02PS19Jf0ffRk9Ez0NPQe9Arz+vPs89/z0vPD87DzmvOD823zW/NK8zjzJPMJ8ufyv/KU8mzySfIt8hbyA/Hv8dnxwPGk8YbxZ/FF8R/w9fDI8JvwcPBM8C/wGfAI7/fv5O/M77Dvk+9371zvRO8s7xLu9+7a7rrum+597l/uQe4j7gTt5e3H7artju1z7VjtPO0g7QXs7ezY7MjsvOy27LLss+y47MLs0ezm7P7tGO007U/tbO2I7abtwu3c7fHt/e4B7f3t8+3o7dzt1O3O7cvty+3P7dft5u377hjuO+5i7ovuse7U7vPvDu8k7znvTu9l733vl++x78nv2+/m7+nv5u/f79nv2O/h7/XwFfBB8HfwtvD88UfxlvHm8jXygvLL8xDzUvOS89H0D/RM9Ib0vfTw9R/1SvVz9Zr1wPXk9gf2KPZH9mT2f/aY9rH2y/bn9wf3KvdP93L3lPex98v34/f8+Bn4Pvhr+KL44vks+YD53vpI+r37O/u+/EP8wv05/aX+Bv5e/q7++v9E/47/1gAeAGQApgDjARgBRAFqAYoBqgHQAf4CNgJ2ArsC/wM8A3EDnQPGA/AEHgRUBJAE0AUSBVQFlgXXBhkGXQagBuIHIQdeB5oH1ggVCFgIngjkCSkJagmoCeIKHApVCo0KwgryCx4LRQtrC5ILvQvvDCYMYgykDOwNOQ2MDeIONQ5/DrwO6w8SDzgPaA+pD/oQVRCvEPwRNhFeEXsRmRHAEfQSMhJyEqcSyxLcEt8S3hLfEuoS/RMVEy0TQRNSE2ETcxOME6wT0hP5FCAURRRnFIoUrxTZFQUVMhVfFYoVtBXdFgkWORZrFp8W0hcBFy0XVRd7F6IXyhfyGBwYQxhoGIoYqBjDGN0Y9BkKGR0ZKxk2GTsZPBk5GTUZLxkoGSAZFxkOGQQY+hjxGOYY3BjSGMcYuxiuGKEYkxiDGHEYXRhHGC8YFxf/F+sX2RfMF8EXuhe2F7MXshexF7AXrheoF6AXlheJF3wXcBdmF1wXVRdOF0gXRBdCF0QXSBdPF1cXXxdjF2QXYRdYF0sXORckFw4W9hbgFsoWtRagFocWaxZMFiwWDxX6FfAV8RX5FgIWBxYEFfkV6BXYFcwVxhXEFcEVtxWgFX0VURUjFPoU3BTLFMMUwhTDFMIUvRSzFKMUjhRyFE0UIBPuE7kThxNbEzUTFhL7EtcSvxKoEpISgBJzEmgSXBJLEjASDBHiEbkRlhGAEXkRfhGKEZQRlxGREYIRcBFhEV0RZhF8EZgRsxHCEb8RphF2ETYQ7RClEGYQMxALD+wPzg+sD4IPTw8UDtIOjQ5EDfgNqQ1YDQgMvQx8DEgMIAwAC+ULxwuiC3ULQgsKCtIKnQpqCjoKCQnYCaQJbAkwCPEIsAhsCCoH6gexB4EHXAdFBzsHPQdHB1YHZwd4B4cHkgeaB58HoAefB5sHkgeDB24HUgcxBw0G6AbEBqMGhQZqBlEGOwYoBhgGDAYDBf0F+QX3BfcF/AYFBhIGIgYyBj8GRQZFBkAGOQYyBi4GLAYsBiwGLAYtBi8GNQY9BkYGTAZMBkMGLwYSBewFwQWSBV8FKwT2BMUEmwR9BG0EawRzBIAEjQSVBJYEkQSJBH8EdwRxBG0EawRpBGgEZgRlBGMEYgRgBF4EXARaBFcEUgRKBDwEJwQKA+gDwgObA3QDTwMuAxAC9QLeAswCvwK5ArcCuAK4ArUCrQKfAosCdAJbAkACJAIFAeYBxwGqAZEBfgFvAWEBUQE7ARwA9QDKAJ8AeABYAD0AIwAG/+X/vf+T/2j/Qv8i/wj+8/7i/tX+zv7Q/tr+6f75/v7+7/7F/n3+Hv2v/T381fx//ED8F/v/+/H75fvU+7n7kftg+yj68Pq8+pH6bvpR+jT6Ffnw+cj5nvl3+Vf5Pvkq+Rb4//jh+L/4mPhv+Ef4Iff799T3rfeE91z3N/cW9vv25PbQ9rz2p/aO9nL2U/Y09hX1+/Xm9db1y/XB9bT1ofWH9Wb1QfUe9QH07/Tl9OD03PTT9ML0qPSH9GX0RfQs9Bz0EvQN9Aj0AfP28+fz1vPF87fzr/Or86zzrvOx87LzsfOu86vzqPOl86HznPOU84rzf/N082zzZ/Ni817zVvNI8zXzG/L+8t/yw/Ku8qLyofKs8sHy3PL68xXzLfM/80/zX/Nx84jzofO6887z2/Pc89Lzu/Oa83LzRPMU8uXyvPKb8oPyd/Jz8nXyefJ/8oPyiPKN8pPym/Ki8qbyqPKm8qPyoPKe8qHyp/Kx8r7yzPLb8uvy+fMI8xbzJfM180jzX/N685bzsvPI89jz3/Pf89zz2/Pe8+nz+/QT9C70SvRm9IP0n/S79Nf08fUH9Rn1J/Ux9Tf1PPU+9T71PPU59TT1LvUp9SX1IvUi9ST1KvU39Uv1afWQ9cD1+PY29nj2vfcF90/3mPfc+Bj4Sfhs+IP4kvie+K34w/jh+Qb5L/lZ+YP5rfnb+g76SvqP+tr7Jvtw+7L76/wb/Ef8cfyc/Mv8/P0v/WH9kf2//ev+Fv4//mX+hv6h/rX+xP7R/t/+8f8J/yf/Sf9u/5T/vP/kAA4AOwBpAJkAyAD0ARwBPwFdAXYBiwGeAa8BwQHUAeYB9gIDAgsCDgIPAhICGgIsAksCdwKtAukDJANbA4sDsgPSA+8EDAQpBEgEZwSEBJ0EsgTDBNAE2wTkBOoE7ATpBOEE1gTOBMsE1AToBQUFJgVEBVoFZQVmBWIFXgVeBWMFbQV3BYAFhQWHBYYFhwWMBZYFpQW4Bc0F4wX6BhIGKQZABlUGZgZ0Bn4GhQaKBo4GkQaTBpMGkgaOBooGhgaCBn8GfAZ1BmoGWgZDBigGCwXuBdUFwAWwBaUFnQWXBZAFiQV/BXQFaQVhBV4FYgVwBYYFpAXFBeYGAAYNBgkF8wXOBZ8FbgVFBSkFGwUaBSAFJwUoBSEFEgT9BOYE0AS6BKUEjwR4BF8EQwQiA/0D0AObA2IDLQMFAvMC/gMhA1ADdgN8A1EC7wJbAasA+ABd/+r/pf+K/4r/l/+k/6f/of+T/4H/b/9e/0//RP88/zn/Pf9I/1n/bv+E/5r/rv/A/9D/3//t//gAAQAFAAgADAAWACwAUgCHAMgBDgFQAYgBrwHEAcsBygHHAccBzQHZAekB/QITAi0CSQJqAosCqgLDAtIC1wLXAtUC2QLlAvoDFQMwA0gDWgNkA2sDcQN5A4UDkwOjA7IDwAPNA9wD7QQBBBkEMwRMBGIEdASCBIwElASbBKAEowSkBKUEpQSoBK4EugTKBN8E9QUIBRkFJgUxBT8FUgVsBYoFqwXJBeAF7QXvBeoF3wXTBcgFwAW6BbkFugXABcgF0gXbBeIF5QXkBeAF2gXUBc4FyAXBBbgFrQWfBYgFZQUxBOoEkgQyA9oDmgOBA5YD1QQwBJIE6AUkBUIFSQVDBToFNwU6BT8FQAU4BScFDgT0BNwEyQS7BLEEqQShBJkEkgSKBIEEdgRmBFEEOgQiBA8EAwQABAUEDwQaBCIEJAQeBBUECwQHBAsEGgQzBFAEawR+BIUEfQRpBE0ELAQJA+gDyAOnA4UDYQM7AxMC6wLCApsCdQJSAjICFQH6Ad8BwwGjAYABXAE6ARwBBADvANoAwgCkAIAAVwAtAAX/4f+//57/ev9U/yv/Af7Z/rb+mf6B/m3+Wv5G/iz+C/3e/aT9Wv0F/Kj8S/v4+7T7hPtm+1b7TftG+zn7J/sM+ur6wvqU+mL6Lfn5+cr5ofmA+Wb5Ufk7+SH5APjW+Kf4c/g++An31vek93T3RPcV9ub2t/aI9ln2KPX39cX1lPVk9TX1CvTj9L/0nvSA9GX0TfQ39CT0EvQC8/Hz3/PN87nzpPOQ833zavNX80HzJvMG8uLyu/KX8nfyXfJJ8jjyKPIV8f3x4vHC8aHxffFX8S7xAfDT8KfwfvBd8EPwL/Ad8Arv8+/Y77zvoO+J73XvZO9T7z7vJO8E7uHuvO6X7nTuUu4x7hHt8+3W7bztou2I7WztTu0u7Q7s8ezX7MPstuyt7Krsq+yx7Lzszezi7PvtFu0x7UztaO2D7aDtvO3U7eft8e3z7ezt4O3S7cPtt+2t7abto+2l7a3tvO3U7fLuFu487mLuh+6p7sfu4u757wzvHO8r7znvSe9Z72jvdO9773vvdu9w727vde+I76rv2fAT8FXwnPDo8TfxiPHb8i7yf/LK8xDzT/OI873z7/Qf9E/0fvSs9Nn1BfUv9Vj1fvWh9cL14fX/9hv2NfZQ9mn2g/ad9rn22Pb69x/3SPdy9533y/f7+C34Y/ie+Nz5H/lo+bj6Evp1+uP7WfvR/Ef8tv0b/Xf9yv4a/mf+tv8F/1T/ov/uADcAfAC+APsBMQFfAYUBpQHCAeICCAI5AnMCswL0AzMDawOeA80D/AQuBGYEogTjBSYFaAWrBe4GMQZzBrUG9gc2B3QHswfzCDUIeAi9CQAJQwmECcMKAgo+CnYKqgrXCv8LJAtLC3cLqgviDB0MWQyTDM8NEA1bDa8ODA5rDsQPEQ9PD4IPsQ/iEBkQWBCZENcRDRE9EWgRlBHGEf0SNhJqEpISrBK4Er0SwRLKEtsS8xMMEyUTOhNNE2ATdhOSE7QT2RP/FCUUSxRxFJoUxhT0FSIVTxV6FaMVzRX6FisWXhaTFscW9hchF0cXbReUF70X6BgUGD8YZRiHGKQYvhjWGOwZABkRGR4ZJRkoGSYZIxkfGRoZFRkQGQgY/xj1GOoY4BjWGMwYwhi2GKkYnBiOGIIYdRhoGFgYRBgqGA0X7xfUF8AXsxeuF68Xshe0F7QXshetF6cXnxeWF4oXfRdvF2IXWRdUF1IXUxdVF1YXVhdWF1gXXBdiF2kXbBdoF1sXRhcrFw0W8BbXFsEWrhacFokWcxZaFjwWHBX6FdkVvhWqFaAVoRWpFbYVwBXFFcMVuhWuFaUVohWmFawVsRWvFaEViRVqFUoVLRUXFQoVAhT8FPMU5BTMFKsUghRTFCAT6hO1E4UTWhM3ExoTAhLtEsESrBKXEoMSchJlElkSTBI6Eh8R+xHSEagRhhFxEWsRchF/EYsRjRGEEXERXBFMEUoRWBF0EZYRtBHCEboRmRFjESAQ2RCXEGEQNxAXD/oP2w+1D4UPSw8LDsYOgQ46DfMNqQ1dDRAMxwyDDEgMFgvsC8YLnwt1C0cLFgrjCrEKggpUCigJ/AnOCZwJaAkvCPMItQh3CDkH/wfKB50HeAdbB0YHOQczBzUHPwdNB2AHdAeHB5YHnwehB5wHkAd8B2MHRQcjBwIG5AbIBrIGngaMBnoGaAZVBkMGNAYpBiIGHgYeBiEGJwYwBjsGRwZQBlMGUAZGBjgGKQYfBhkGGgYeBiUGKwYyBjkGQQZJBlAGUwZQBkQGMAYXBfoF2gW6BZYFbgVBBRIE5QS/BKUEmgScBKgEtwTDBMoExwS+BLAEoQSUBIsEhwSJBI0EkwSZBJwEnASYBJEEiAR8BG0EWwRDBCUEAQPZA64DhANdAzwDIAMJAvYC5gLZAtACyQLFAsICwQK+ArcCrQKeAosCdAJaAj4CHwH/Ad4BvgGgAYcBcwFjAVYBRwEzARgA9QDOAKUAfgBcAD4AIQAD/+H/uf+P/2X/Pf8b/v/+6f7Z/s7+yv7P/t3+7v79/wD+7f6+/nD+Cv2W/SH8t/xg/CH7+fvg+9D7wfus+4z7Yvsw+vr6xvqa+nf6XPpF+iz6Dvnp+b75k/ls+Uz5NPkg+Qz49PjW+LH4ifhf+Df4Effs98b3n/d39073KPcG9uf2zPay9pf2e/Zd9j72HvX/9eL1yfW19aX1mPWM9X71bPVT9TX1FvT49N/0zfTA9Lb0q/Sc9In0cfRW9Dz0JfQT9Abz/PP18/Dz6fPf89HzwPOr85bzhPN382/zbfNu83Hzc/Nz83HzbvNq82TzXfNV80zzQvM58zLzLfMo8yLzGfMJ8vPy1/K38pTydPJZ8kbyPvJD8lTybvKO8q7yzPLl8vrzDPMe8zLzSPNf83bzifOX85vzlvOG82vzRvMZ8unyvPKW8nzybvJq8m3ycvJ28njyePJ48nryfvKE8onyi/KK8oXygPJ78nnyevKA8oryl/Kn8rnyy/Ld8u7y//MQ8yTzO/NX83TzkfOq87vzxPPH88jzyvPQ893z7vQD9Bn0MPRI9GH0ffSb9Lr01/Tw9QX1FfUg9Sn1L/Uy9TH1LPUj9Rn1EPUM9Q/1GfUq9UD1WvV39Zr1xPX29i/2b/az9vf3Ovd697X36/gc+Eb4Z/iA+JH4nfin+LX4yfjn+Q35Oflo+Zf5xfn0+ib6Xfqc+uP7Lft3+737+/wx/GL8kfzA/PL9Jv1a/Yz9uv3l/g7+N/5g/oj+rf7N/ub++f8H/xT/Jv8+/13/gv+r/9T//QAmAE4AdwCiAM4A+gEkAUkBZwF/AZEBoQGwAcMB2wH4AhcCNQJOAl4CZQJnAmkCcAKDAqUC0wMKA0QDegOoA80D6QQABBcEMARNBG0EjgSsBMQE1QTfBOUE6QTsBPAE8gTzBPAE6gTjBN4E4ATqBP0FFgUyBUsFXgVqBXEFdQV5BX4FhAWJBYwFjAWMBYwFjwWXBaMFswXGBdkF7QYCBhgGMQZLBmQGfQaRBqAGqgavBrAGrgaqBqQGnQaVBo0GhQZ+BngGcgZtBmUGWQZKBjcGIAYIBfEF3AXLBb4FtAWsBaUFnQWUBYoFgQV8BX0FhgWYBbIF1AX4BhsGNQZBBjsGIAXzBbsFggVRBTAFIQUgBSgFLwUwBSgFGQUHBPcE6wThBNYEwgSiBHMENwPvA6EDUAL/ArICcQJEAjICPwJnAp0CzgLjAssCfgIDAWsAzgBF/+D/pf+O/4//mv+k/6f/ov+Z/4//hv9+/3j/cf9s/2n/a/90/4P/lv+q/7z/yv/W/+D/6f/0//8ACgARABMAFAAWACEAOgBlAKMA7QE7AYABtQHVAeIB4AHYAdMB1AHeAe4CAgIWAi0CRwJkAoYCqALHAt8C7gL0AvcC/AMHAxkDMQNKA2EDcwOBA4sDlgOjA7MDxQPVA+ID7APzA/oEBAQRBCMENwRNBGMEdgSHBJQEngSmBKwEsQS1BLkEvgTFBM4E2gToBPkFCwUdBS0FPAVLBV4FdQWRBbAFzgXnBfYF+gX0BegF2wXRBcoFyAXJBcwF0AXVBdsF4wXqBfAF8wXzBfEF7QXqBeYF4AXVBcMFqAWFBVkFJgTtBK4EbwQ0BAcD8QP4BB4EWwSgBN8FCwUfBR4FEAUBBPoE/gUJBRUFGgUXBQwE/QTvBOQE2wTSBMQEsQSZBIEEaQRVBEEEKwQQA+8DzAOsA5QDiQOLA5cDpAOrA6UDjwNqAz4DFAL1AuoC9gMYA0kDgQO3A+IEAAQOBA4EAgPsA88DrAOGA14DOQMWAvcC2gK8ApwCeAJTAi4CDAHuAdIBtwGYAXUBUQEuARIA/gDwAOYA1wDAAJ0AcAA/ABD/5v/B/5//fP9U/yX+8v6//pL+b/5V/kP+Nf4j/gn94v2r/WT9E/y6/GP8FPvT+6L7gftt+1/7UvtC+y77FPr1+tH6p/p5+kf6E/nj+bj5l/l++Wv5WvlE+Sb5APjS+KL4cvhF+B33+ffY97j3lvdy90n3HPbq9rP2evZA9gf10PWc9Wv1PfUR9Oj0wfSe9ID0ZvRP9Dr0JvQQ8/jz4fPK87TzoPOO83vzZ/NP8zPzE/Lx8tDysvKZ8ofyefJu8mLyUvI88iHyAfHf8bzxmPFz8UzxIfD28MvwpfCF8GvwVvBB8CvwEO/y79Pvt++g747vfu9u71nvPu8d7vju0e6q7oXuYu5A7h/uAe3l7cvtsu2Y7XrtWO0z7Q3s6uzN7Lfsqeyj7KLspuyu7Lvsy+zf7PbtD+0n7UHtWu117ZDtqu3A7dDt2e3Z7dPtye287a/tou2W7Yzthe2F7Y3tnu237dft+e4c7j3uXe577pjusu7I7tju4u7o7uzu8u787wrvGe8l7y3vL+8v7zLvP+9Z74TvvO//8EjwlfDi8THxgPHR8iHybvK18vTzK/Na84TzrfPV8//0K/Ra9Ir0u/Tq9Rf1P/Vj9YL1nvW59dX18fYP9iz2R/Zh9nn2kvat9s328/ch91f3lPfW+Bz4Y/ir+PL5OfmA+cv6HPp2+tn7Q/ux/Bz8gfzc/TD9fv3K/hf+Zv64/wr/Wv+o//QAPgCJANMBGQFYAYwBswHOAeMB+AIUAjsCbwKtAvEDNANzA60D5AQaBFAEigTFBQMFQAV+BbwF+wY8Bn8GwwcHB0oHjQfPCBEIUwiVCNcJGAlYCZgJ1goSCkoKfQqsCtcLAgsxC2YLowvjDCMMXgyTDMQM+A03DYQN4Q5IDq8PDg9eD50Pzw/6ECUQVRCJEMAQ9xEtEWMRmBHPEgQSNhJgEn8SkRKbEqESqBK2EskS4hL9ExgTMhNNE2oTiROrE88T8hQUFDYUWRR/FKoU2BUIFTcVZRWRFbwV6RYaFk4WhBa5FukXFBc7F18XhhevF9sYCRg2GF8YgRieGLYYzBjhGPUZBxkVGR0ZHxkcGRcZERkMGQgZBRkAGPkY7xjjGNUYyRi9GLIYphiaGIwYfRhwGGMYWRhNGD8YKhgQF/EX0he5F6gXohelF6wXsxe2F7IXqRedF5EXhhd+F3YXcBdpF2UXZBdnF24XdRd6F3sXdxdwF2sXaBdpF2sXaBdcF0MXHxbzFsYWnRZ9FmYWVBZFFjUWIxYPFfsV6RXZFcsVvhWyFacVnhWXFZMVkBWOFYoVhRWBFYEVhxWVFagVvhXOFdUVzhW7FZ4VfhVgFUYVMhUfFQoU7hTKFJ0UaBQvE/UTvROKE14TOBMZEv8S6RLVEpMShBJ2EmkSXRJSEkYSOBIkEgkR5hG+EZcRdxFjEV8RZhFzEX4RfhFzEV8RSxE/EUQRWhF9EaMRvxHGEbMRhxFIEQAQuxCAEFIQMBAVD/sP2g+wD3sPPQ75DrIObA4oDeQNoQ1cDRcM0gyQDFIMGQvlC7ULiAtcCzALBArYCqwKgApVCikJ/AnPCZ8Jbwk8CQYIzwiXCGAIKwf6B80Howd8B1gHOAcgBxIHEgcfBzgHVwd4B5MHpgevB60HoQeNB3MHVQc1BxUG+QbiBtAGwga1BqgGmQaHBnQGYwZWBkwGRgZDBkMGRAZHBksGTgZOBkkGQAYxBiEGEQYGBgEGAwYLBhYGIwYyBkEGUAZeBmcGagZkBlQGPgYjBgkF8gXcBcYFrAWLBWUFPAUWBPgE5gTiBOcE8gT7BP4E+QTsBNoExwS5BLEEsgS6BMYE0gTZBNgEzwS/BKkEkAR2BFsEPgQfA/oD0wOpA4EDXQM/AycDFAMGAvkC7gLkAtwC1QLQAswCxwLAArYCqAKXAoICagJRAjUCGAH7AdwBvQGfAYMBaQFSAT0BKQEVAP0A4gDDAKIAgQBhAEIAIwAD/9//tv+M/2H/OP8V/vj+4P7P/sX+wv7H/tT+5P7y/vL+3P6p/lr99P2C/RD8q/xZ/Bz78/vW+7/7qPuL+2f7OvsI+tX6pPp6+lj6Pvon+hD59fnU+a75h/lj+UP5KPkQ+Pj42/i6+JX4bvhJ+CX4Avff97r3k/dq90D3Gfbz9tD2rvaN9mv2SfYo9gn16/XQ9bb1nvWJ9XX1Y/VS9UD1K/UV9P705vTR9L70r/Sg9JD0ffRo9FL0PvQs9Bz0D/QD8/Xz5/Pa883zwvO4863zn/OM83XzXfNI8zjzMPMu8zHzNvM68zzzO/M38zHzKPMd8xHzBvL98vjy9vL08vHy6vLc8sfyq/KK8mXyQfIf8gPx8PHp8fDyBPIj8kfybPKP8qzyw/LX8ujy+vMO8yLzNvNI81bzXfNa80zzM/MP8uXyu/KX8nzybfJo8mnybPJs8mnyZPJe8lryWfJb8l7yX/Jf8lvyVfJO8kjyRvJI8lDyXfJv8obyoPK68tTy7PMD8xrzM/NO82rzhvOd863zt/O887/zw/PM89jz6PP59Av0HPQu9EP0XPR59Jj0t/TU9Oz1APUP9Rz1JPUo9Sb1H/UV9Qv1B/UM9R31OfVe9Yn1tfXj9hP2R/aA9sD3BPdI94j3wvfz+Bz4Pvhc+Hb4jPid+Kr4svi5+MP40/jt+RL5Qfl1+av53/oQ+kD6cvqq+uj7Lft1+738Afw//Hf8q/ze/RL9R/17/av92P4A/iX+Sv5x/pr+xP7s/w//LP9F/1z/df+S/7X/2v//ACMAQwBhAH4AnAC+AOMBDAE2AV0BfwGbAbIBxgHbAfMCEQI0AloCfwKcArECvALAAsQCzgLiAwMDLwNgA5MDwAPmBAMEGgQwBEcEYgSBBKIEwgTdBPAE+QT7BPgE9ATzBPUE+gUABQMFAgT9BPYE8QTxBPgFCAUcBTMFSAVaBWgFcwV8BYQFiwWQBZIFkwWTBZUFmwWnBbgFzQXkBfsGEgYpBj8GWAZxBooGoga2BsUGzQbQBs8GywbEBrwGsgalBpgGigZ8BnAGZgZeBlkGUwZMBkIGNAYkBhEF/gXtBd8F0wXJBcEFuQW0BbAFsQW3BcIF0gXmBf0GFwYyBkwGYQZrBmUGTQYjBesFrwV4BU8FOAUyBTgFQAVEBUAFNgUoBRwFEgUHBPUE1AShBFsEBQOmA0YC6QKUAksCEAHqAdsB5wIMAj4CcAKMAoUCUQH1AX0A/gCKADH/9//Y/83/y//J/8b/v/+5/7T/sP+t/6j/of+Z/5T/lP+c/6z/wP/V/+b/8f/2//f/+P/8AAQAEAAbACIAJAAiACEAKwBGAHcAvAEOAWEBqAHaAfQB+wH2Ae8B7gH1AgMCFAImAjgCTAJlAoMCpgLKAukC/wMOAxcDHgMpAzgDTANhA3UDhgOUA6EDrwPAA9MD5wP4BAYEEAQXBB0EJAQtBDkERgRWBGcEeQSLBJwEqgS2BMAEyATPBNcE4ATqBPQE/QUIBRMFIQUxBUMFVgVrBYEFmAWwBckF3gXvBfgF+gX1Be0F5AXeBdoF2QXYBdcF1wXZBd4F5gXwBfsGAgYFBgUGAwYABfsF8gXhBcQFmwVpBTIE+gTHBJoEdARWBEMEPQRHBF8EgASkBMIE0wTXBNIEzATLBNQE5AT2BQMFCAUFBP0E9gTxBO4E5wTXBLoEkQRhBDAEBQPhA8QDqAOLA2oDSQMtAx0DHAMpAz8DVgNkA2MDUAMtAwAC0QKoAosCfwKFApoCvALoAxkDTgOAA6wDygPWA8sDqQN1AzoDAALRArECnwKVAooCegJgAkACHQH7AdoBugGYAXMBTAEoAQsA+QDwAOoA4ADKAKYAdQA/AAv/3/+9/6D/g/9g/zP+/v7H/pP+aP5J/jH+Hf4E/eH9r/1u/SH8zfx6/C/78PvA+577hftz+2L7T/s5+yD7Bfrn+sX6nfpu+jr6BPnR+ab5hflt+Vv5SPkw+RD46fi++JP4bvhQ+Dj4J/gX+Ab38vfZ97j3jfdZ9xv21/aQ9kr2CPXN9Zb1ZPU09Qf03PS19JP0d/Re9Ef0L/QT8/bz2PO786LzjfN582XzT/M18xfy+fLc8sTysvKm8p/ymfKS8obydPJb8j7yH/IA8eHxw/Gk8YLxXPE08Qvw5PDC8KXwi/Bx8FbwOPAY7/fv2e/A76rvle+A72fvSe8n7wPu3u667pfude5S7jDuD+3w7dLtte2Y7XftUu0q7QHs3ey/7KvsoOyc7J/spuyx7L7szeze7PDtBO0Y7SztQ+1a7XLtiO2b7ajtru2u7avtpe2e7Zbtje2D7Xntce1x7Xjtiu2k7cPt4+4C7h/uOu5U7m7uhe6Y7qPupu6l7qPupu6x7sXu3e7z7wPvCu8L7w7vGu8272Tvo+/t8Dzwi/DZ8SXxcfG78gTySPKG8rvy6fMQ8zXzWvOA86vz2PQJ9Dz0cPSi9NL0/fUj9UT1YPV79Zf1tPXT9fH2DfYl9jr2TfZi9n32oPbP9wj3TPeY9+j4O/iM+Nv5Jflt+bX5//pP+qf7B/tr+9H8NPyR/Of9N/2F/dH+H/5u/r7/Df9c/6v//ABPAKQA+AFGAYcBtwHWAeYB8QH9AhUCOwJxArMC+wNDA4cDxwQDBD0EdgSuBOUFGgVPBYYFvwX9BkEGiQbUBx8HaAevB/QINgh3CLYI9AkwCWsJpQneChYKTAqACrQK6QsiC2ALpAvrDDAMcQysDOENFw1TDZsN7g5KDqYO+g9AD3gPpQ/ND/gQKhBkEKQQ5hEmEWQRnBHREgASKRJKEmMScxJ/EooSlxKpEr8S2RL1ExITMRNTE3cTnRPEE+kUCxQrFEoUaxSRFLwU6hUbFUwVexWqFdgWCRY9FnIWphbXFwUXLhdVF30XpxfUGAIYLxhXGHkYlRisGMAY0xjmGPgZBxkSGRYZFRkPGQgZABj7GPcY9BjwGOkY3hjQGMIYsximGJoYjhiBGHIYYxhUGEYYORgtGB4YCxf0F9sXwhewF6YXpReqF7EXsxeuF6IXkReBF3YXcRdyF3cXfBeBF4YXjBeSF5kXnhedF5QXhRdzF2IXWBdUF1UXUhdFFykW/hbJFpEWXxY3FhkWBBXzFeUV2BXOFcwV0hXeFe0V9hX2FekV0RWyFZQVfBVtFWcVaBVwFX0VjhWjFbwV1BXoFfEV7BXaFbsVlhVxFVAVNRUdFQQU5hTAFJAUWhQhE+cTsBN8E00TIhL8EtoSvhKmEmMSWRJUElASShJCEjUSJBIPEfQR1BGxEY8RcxFhEVwRYRFrEXIRcBFjEU8RPRE2EUERXRGDEakRwBG+EaERbBEpEOMQoxBwEEsQLhAVD/kP1A+lD2sPKQ7iDpoOUw4PDc8NkA1UDRcM2gyeDGMMKwv2C8QLlwtsC0QLHAr0CssKoApyCkQKFAnlCbYJhwlWCSMI7gi4CIIITggdB+4HvweRB2IHNwcUBv4G+gcJBygHUAd6B54HtwfEB8UHvQetB5gHfwdiB0UHKAcQBvwG7AbfBtMGxQa0BqMGkQaBBnQGaQZgBlcGTgZFBjwGNAYrBiEGFQYIBfoF7gXnBeYF7AX5BgsGIQY6BlUGbwaFBpQGmAaPBnoGXgY/BiEGCQX2BeYF1QXABaUFhgVnBUwFOQUvBSwFLgUvBSsFIgUSBP8E7QTgBNwE4QTtBPsFBQUHBPwE5gTGBKIEfQRaBDsEHQP+A94DvQObA30DYwNPAz8DMQMjAxUDBgL3AusC4QLZAtMCzALCArYCpQKRAnoCXwJEAigCDQHzAdkBvgGjAYUBZwFIASoBDgD1AN0AxQCsAJIAdQBZADwAHv/+/9r/tP+K/2H/O/8a/v/+6f7Z/s7+yf7K/tH+2/7i/tz+wv6N/j/93P1x/Qj8rfxk/C38BPvj+8P7oft6+077Hvrt+rz6jvpk+kD6IvoI+fD51/m7+Zz5e/lZ+Tj5GPj4+Nj4tviS+G74S/gp+An36PfG96D3ePdO9yb2//ba9rb2kvZs9kX2H/X79dv1v/Wl9Y31dvVf9Un1M/Ud9Qj08/Tf9Mz0u/Ss9KD0kvSC9Gz0U/Q39B70CvP98/Xz7fPi89LzvfOl85HzgfN483PzbPNh80/zOPMg8wvy+/Ly8vDy8fLz8vXy9fLy8u3y5PLZ8s7yxfK+8rzyvPK+8r3yt/Kr8pnygvJn8knyKfII8ejxzfG58bLxuPHN8e3yEvI58lzye/KU8qvywPLU8uny/PMP8x3zJ/Mp8yPzE/L78t3yvPKf8onyevJz8nDybfJo8l/yUvJF8jnyMPIq8ibyJfIi8h/yHPIY8hTyE/IU8hvyJ/I68lPycvKU8rfy2vL88xvzOvNX83HziPOa86Xzq/Ou87DztfO+88zz3PPs8/v0CfQY9Cn0P/RZ9HX0lPSx9Mv04/T39Qj1FPUb9R31G/UW9RX1HPUv9U/1fPWy9e32KfZl9qD23Pcb91r3mffU+Aj4MvhS+Gn4e/iJ+Jb4ovit+LX4u/jB+Mr42fjy+Rf5Rvl8+bX57Pog+lD6gPq0+vD7NPuA+8/8G/xh/J/81v0I/Tn9aP2X/cT97f4S/jT+V/58/qb+0/8B/y3/V/98/6D/wv/lAAkAKwBJAGMAeACKAJ0AswDQAPMBHAFIAXUBoAHHAeoCCgIoAkgCaQKMAq8CzgLnAvgDAwMKAxIDIAM3A1cDfgOoA9AD9AQSBCoEQQRYBHMEkQSxBNIE8AUHBRYFHAUaBRQFDQUIBQgFDAURBRMFEgULBQIE+ATzBPQE/AUKBRsFLAU8BUoFVgVjBXAFfAWHBY4FkwWXBZsFpAWyBcYF3wX7BhcGMgZMBmUGfgaXBq4GwwbSBt0G4QbhBt0G2AbRBskGvwayBqIGjwZ9Bm0GYQZZBlYGVgZWBlMGTAZBBjMGJQYWBgkF/gX1Be4F6gXqBfAF+wYMBh8GMgZEBlMGYQZvBn4GjAaVBpMGgQZcBigF7AWzBYYFagVhBWMFaQVpBWAFTQUyBRME8wTRBKkEdgQ2A+oDlgNCAvICrAJvAjwCFAH5Ae4B9wITAj0CaQKGAogCZQIdAbsBTQDjAIoASAAeAAX/+P/w/+r/5f/i/+H/4P/e/9r/0//L/8X/w//J/9T/5P/2AAQADAAOAAsABwAGAAwAFwAlADEANQAxACcAIQAoAEcAgQDTATIBjgHaAg0CJwIuAi0CKwIvAjkCRQJRAl0CagJ7ApMCsgLVAvUDEAMkAzEDOwNHA1UDZgN4A4cDlQOhA60DvAPNA+ED9AQGBBUEIgQuBDoERgRRBFsEZARtBHkEhwSZBKwEvQTMBNcE4AToBPIE/QUKBRUFHwUoBTEFPgVOBWQFfAWUBakFvAXKBdcF4QXqBfAF9QX3BfgF9wX2BfMF7wXoBeAF2gXYBdwF5gX0BgEGCwYPBg4GDAYIBgIF+AXkBcMFlQVeBSQE8ATFBKUEjAR5BGcEVwRLBEYESQRTBGEEcAR/BJAEowS6BNUE7wUCBQsFBwT8BOwE3wTSBMQErQSIBFIEEQPMA40DWgM1AxsDBALtAtUCvQKuAqoCtgLQAvEDEgMuAz8DRAM+Ay4DFQL2AtACpgJ9AloCRAJDAl0CkwLfAzYDhgO+A9ADtwN3AyECyQKBAlYCSAJQAmACaQJjAk0CKgIAAdUBqwGCAVoBMgEPAPMA4QDZANQAywC3AJUAZgAx////1f+2/5z/g/9k/zv/Cv7W/qX+fP5c/kH+JP4A/c/9kP1F/PT8ovxX/Bf74/u6+5r7f/tm+0z7M/sa+wP67PrU+rf6kfpi+iv58fm5+Yn5ZPlJ+TT5H/kH+On4x/il+If4cPhf+FT4TPhF+Dv4Lvgc+AH33Peq92r3H/bO9n32MPXr9a/1efVH9Rf06vTA9Jz0ffRj9Er0MfQU8/Tz0/Oz85bzffNo81PzPfMl8w3y9vLj8tXyzfLH8sHyufKt8pzyhvJt8lTyPPIm8hHx/PHl8crxqfGE8VzxM/EM8OfwxfCk8IPwY/BC8CLwBO/p79Dvt++c737vXO857xXu8+7R7q/ujO5n7kHuG+327dPtsu2R7W7tSe0j7P7s3uzE7LPsquyo7Kzssuy87Mfs1Ozh7O7s++0I7RbtJu047UrtW+1p7XLtdu127Xbtde117XXtc+1u7WftYe1g7Wjteu2T7bHtz+3r7gTuG+4x7kfuWu5n7m3ua+5m7mXubO6A7p7uwO7d7u/u8+7u7uru8e8M7z7vgu/S8CfwefDH8RDxVvGa8dzyGPJO8n3ypPLI8uzzEvM782fzlfPD8/P0IvRS9IL0r/TZ9P/1IPU+9Vv1ePWU9a71xfXX9ef19/YL9ij2T/aD9sP3C/da9634APhU+KX48/k++Yb5z/oa+mv6w/si+4b77fxR/LD9B/1X/aH96f4v/nf+w/8S/2b/vgAbAHoA2AEvAXgBsAHUAeYB7QHzAgACGwJHAoECxQMMA1QDmAPZBBkEVgSRBMgE/AUtBV4FkgXMBg8GWQaoBvkHSQeVB94IIwhkCKMI3gkWCUwJgQm3Ce8KKgpnCqUK4wsiC2MLqAvvDDgMgQzIDQwNUA2UDdoOIA5kDqIO1w8DDygPTA93D60P7xA8EI4Q3hEoEWcRnRHKEe8SDhIoEj4SURJjEnYSjBKkEr8S3BL5ExgTORNcE4ETqBPPE/QUFxQ4FFsUgBSqFNgVCRU7FWwVnBXMFfwWLRZfFpEWwRbvFxoXRhdxF58Xzhf+GCoYURhyGIwYohi1GMcY2BjoGPYZABkEGQQY/xj4GO8Y6BjiGN0Y2RjUGM0Ywxi2GKcYmRiLGH4YchhmGFgYSBg3GCcYFhgHF/gX6BfYF8kXvBe0F7EXshe1F7UXrxejF5IXgRd2F3MXeReGF5QXnxemF6kXqBemF6IXmxeOF3oXYRdHFzIXJhckFygXKhcjFwsW4hatFnQWPhYTFfMV3BXJFboVrhWoFa4VwBXcFfsWExYbFg4V7xXEFZkVdxVlFWUVdBWMFacVwBXVFeQV7hXwFekV2BW9FZoVdBVPFTAVGBUEFPAU1xS2FIsUWhQlE+4TuROEE1ATHBLpErsSlBJ2ElUSSxJHEkUSQBI2EiYSEhH8EeQRyRGtEZEReBFnEV4RXxFjEWYRYxFXEUcRORE2EUIRXhGBEaARrhGlEYERShEJEMgQkRBmEEYQKxAPD+0Pwg+MD04PCg7CDnsONg31DbgNfw1IDRMM3gypDHUMQwwTC+cLvguYC3QLTwspCwAK1AqlCnUKQwoSCd8JrAl2CT0JAgjGCIwIVggkB/YHyAebB20HQQcdBwgHBQcWBzYHYAeKB6wHxAfQB9QH0AfJB70HrQeYB38HZAdKBzIHHwcPBwAG8QbgBs4GvAapBpgGhgZ0BmAGSgY0Bh4GCwX7Be4F4gXZBdAFygXJBc8F2wXvBgoGKgZMBm8GjwaoBrcGuQatBpYGdwZVBjUGGgYGBfUF5gXVBcAFqgWSBX0FbQVhBVsFVwVUBU8FRQU4BSgFGAUMBQUFBQUKBQ8FEQUJBPYE1wSxBIgEYQQ+BCEECAPvA9YDvQOkA48DfQNvA2IDVANDAy8DGwMHAvYC6gLgAtgCzgLDArQCogKMAnICVwI5AhsB/wHlAc4BtwGeAYMBYwFBAR4A/QDfAMMAqgCRAHcAXQBCACcADP/w/9H/rv+I/2P/Qf8k/w3+/P7u/uL+2f7T/tH+0v7Q/sT+pv5x/iT9xf1g/QD8rvxu/D78F/vz+8v7nvts+zn7CPrZ+q36hPpd+jj6F/n4+dz5wfml+Yf5ZvlD+R349/jQ+Kn4g/hf+Dz4Hff+9+D3wPed93f3T/cn9wP24fbC9qL2gPZa9jD2BvXe9bn1mfV+9WX1TvU49SP1DvT69Ob00fS99Kr0mvSM9IH0dPRj9Er0LPQM8+/z2vPN88fzwvO486Xzi/Nt81PzQfM58zjzOfM18yrzGPMA8ufy0vLB8rXyrvKp8qbyo/Kh8p3ymfKS8ozyhvKD8oTyhvKH8obyf/Jz8mTyU/JC8jHyHvIH8ezxz/Gz8Z3xk/GX8afxwfHh8gLyI/JC8l/ye/KV8q7yw/LU8uHy6fLt8uvy5PLX8sfys/Kg8o7yfvJy8mfyXfJR8kPyM/Ih8hDyAPHz8ejx4fHd8dzx3vHh8eXx6PHt8fPx/PIL8iHyP/Jk8o7yu/Lp8xTzO/Nd83fzifOT85bzlfOS85HzlfOf86zzvfPP89/z7vP99A30IPQ29E/0a/SI9KT0wPTZ9PD1A/US9R31JfUt9Tr1T/Vv9Zv10vYR9lX2m/bh9yX3Z/em99/4Efg8+F34d/iK+Jf4oPim+Kn4q/it+LD4tvjA+NH46fkK+TP5YvmV+cn5/Pot+l36jvrF+wX7Tvug+/b8SfyU/NX9Cv03/WD9h/2v/df9/v4j/kj+bf6W/sL+8f8i/1P/gf+r/9L/9wAaADsAWQByAIgAmwCtAMEA2gD5AR8BSwF6AaoB2gIIAjQCXQKDAqcCyALmAwADFQMlAzEDOgNEA1MDZwOCA6QDyAPrBAwEKARABFYEbASDBJ0EugTYBPYFEQUnBTYFPgU+BToFNAUuBSoFJwUkBR4FFQUIBPkE7QTmBOYE7QT4BQQFDwUaBSMFLgU8BUwFXQVtBXoFhAWMBZQFnwWuBcQF3gX6BhcGNAZQBmoGhAadBrQGxwbVBtwG3QbaBtQGzQbGBr4GtAanBpgGhgZ2BmkGYQZfBmEGZQZoBmgGYwZbBlEGRwY+BjkGNQYzBjQGNgY9BkcGVQZlBnQGgAaHBowGkAaWBqEGrga5BroGrAaMBlwGJAXuBcMFqQWeBZsFlQWEBWIFLwTyBK8EbgQwA/UDvQOFA00DGQLqAsICoAKDAmcCTQI2AikCKwI/AmAChgKkAqwCkwJYAf8BlgEqAMkAfQBHACYAFgAQAA8AEAAQAA4ADAAKAAcAAwAA//3/+v/4//f/+f/9AAMACAALAAsACwANABMAIQAzAEUATwBNAD8AKwAfACgAUACYAPgBYQHBAgsCOgJSAlsCYAJmAnECfAKGAowCkgKbAqsCwwLhAwADGgMuAz0DSgNXA2YDdwOIA5UDoAOpA7QDwQPSA+QD9gQGBBQEIwQzBEYEWgRsBHkEgwSKBJEEnQStBMAE0wThBOwE8wT6BQMFEQUhBTAFPgVJBVQFYAVyBYkFowW8BdAF3gXlBegF6gXuBfMF+gYABgQGBgYEBf8F+AXuBeMF3AXaBd8F6gX4BgUGDQYPBg0GCQYHBgQF/QXtBc4FoQVqBTIE/wTXBLkEnwSFBGYEQgQgBAUD+AP8BBAELwRUBHwEpQTMBO4FBwUTBQ8E/ATfBLwEmARyBEgEFQPYA5IDSgMJAtgCuAKoAqECmgKOAn4CbgJjAmMCcAKHAqICvwLZAvIDCAMdAy4DNQMvAxUC5wKpAmQCJQH9AfgCHAJmAssDMwOFA6wDnQNbAvcCigIwAfkB6wH9Ah0COAI/Ai4CCAHXAaIBcgFHASEA/wDhAMkAuQCvAKkAoACPAHQATgAj//r/1f+3/5v/fv9a/y//AP7S/qv+jP50/l7+Qv4a/eP9n/1R/QD8s/xt/DD7/PvN+6L7eftS+y37DPrx+tr6x/qy+pf6c/pF+g751Pmd+Wz5Rvko+Q/4+fjg+MX4qviQ+Hv4avhf+FX4TPhB+Db4KPgX+AH34ve193r3Mfbe9or2OvXy9bX1gPVR9SP09/TM9Kb0hPRo9E/0NvQc8/7z3vO+86HzhvNu81nzRvMz8yTzF/MN8wXy/vL08uby0/K88qTyjfJ58mjyW/JQ8kXyOPIo8hLx9vHT8azxgfFU8Snw//DY8LTwkvBx8FPwN/Ac8ALv5u/I76fvg+9d7zjvE+7v7svupu5/7lfuL+4H7eLtvu2c7XntVu007RXs++zm7Njsz+zL7Mnsy+zQ7Njs4ezq7PPs+u0A7QbtDu0X7SPtLu037T3tP+1B7UPtR+1N7VPtVu1W7VPtT+1P7VftZ+1/7Zrttu3P7eXt+e4M7hzuKe4x7jLuL+4s7jDuQe5g7onus+7T7uPu4u7W7szuz+7q7x7vZe+48AzwW/Cl8OnxK/Fs8avx5vIZ8kXya/KO8rPy3PMI8zXzYfOL87Lz2fQC9C30WfSG9LL02vT+9R71OvVS9WX1c/V99Yb1k/Wp9c72AfZC9oz23Pcs93v3yfgW+GT4svkB+U75mvnn+jb6ivrl+0n7svwd/IT84f0y/Xf9s/3s/ij+a/64/xD/cv/bAEcAsQETAWcBpwHTAesB9AH3Af4CEAIwAl8CmALYAxkDWwOdA+EEJQRqBKsE5wUdBU8FgQW3BfUGOwaIBtkHKQd3B8IICghQCJMI0QkKCT8JcgmmCd8KHQphCqYK6wsuC24LrgvwDDYMgQzODR4Naw20DfcOMA5gDoYOpA6/Dt0PBg89D4UP2hA3EJQQ6BEvEWgRlRG4EdUR7hIGEh0SNBJMEmYSgxKiEsMS5BMFEycTSRNsE5ATtBPZE/0UIRRHFHAUnBTNFP8VMhVkFZQVxBXzFiEWURZ/FqwW2BcEFzEXXxeRF8MX9BghGEcYZxiAGJYYqRi9GNAY4BjsGPIY8xjvGOgY4BjZGNIYzRjIGMIYvRi2GK4YpBiXGIgYeRhqGFwYUBhEGDgYKhgaGAkX9xfnF9kXzxfHF8IXvxe+F70XvBe5F7IXqRedF5MXjBeNF5YXpBe0F8AXxRfAF7MXoBeMF3cXYhdLFzIXGRcCFvIW7BbwFvkW/xb7FuYWwRaQFlsWLBYHFe4V3RXQFcIVtBWoFaMVqRW6FdIV6BX1FfEV3BW8FZsVgxV8FYgVoxXHFeoWBRYSFhIWBhXxFdUVtRWTFXAVThUwFRgVBRT1FOIUyRSoFH8UTxQdE+wTvBOME1oTJRLvEroSjRJqEnASYRJYElASQxIyEhwSBBHuEdkRxRGwEZkRgRFsEVwRUxFPEU4RSxFDETgRMBEvEToRTxFpEXwRgRFwEUoRFRDZEJ8QbhBIECgQCg/qD8IPkg9bDx4O3Q6cDlwOHw3lDa8NfQ1LDRoM6Qy3DIYMVwwsDAYL4gvBC6ALfgtZCzELBwraCqwKfApJChMJ2AmYCVQJDgjKCIkIUAgfB/UHzgeoB4IHXgdBBy8HLQc7B1cHeQeaB7QHxgfPB9MH1QfVB9MHzQfBB68HmQeBB2sHVwdGBzYHJQcSBv0G5gbOBrYGnQaCBmUGRQYlBgcF7QXYBckFvgW3BbQFtAW5BcUF2QXzBhIGNQZYBngGkgakBq0GqgadBogGbgZTBjgGIAYKBfYF4gXOBbgFowWPBX0FbwVlBWAFXQVdBVsFVwVQBUMFMwUjBRMFBwT+BPcE7gTgBMkEqwSJBGUERQQpBBED+wPnA9EDvAOoA5cDiAN8A24DXgNKAzQDHQMKAvoC7QLjAtgCygK6AqcCkwJ9AmYCTAIvAhIB9AHXAb0BpAGMAXABUgEwAQ0A6gDJAKsAjgByAFYAOgAgAAj/8f/a/8D/of9//1z/PP8i/w//AP7z/uX+1v7H/rz+tf6v/qP+iP5Y/hH9t/1V/Pj8qvxt/D78GPvw+8P7j/tY+yH68PrG+qH6f/pd+jn6FPnw+c35q/mJ+Wb5QfkZ+O74w/iY+G74SPgl+AX36ffN97H3k/dx90z3J/cD9uT2yPav9pT2dfZQ9ib1+fXN9aP1fvVe9UL1KvUW9QX09fTm9NX0wfSs9Jf0hPR19Gj0W/RL9DP0FPPy89LzuvOr86Tzn/OW84Xza/NO8zPzH/MU8xLzEfMN8wPy8vLc8sXyrvKb8oryffJz8mzyaPJm8mXyY/Jh8l/yXfJe8mHyZPJl8mHyWPJK8jryLPIh8hjyD/IB8e3x0vGy8ZTxfPFv8W7xePGK8aLxv/Hd8f7yH/I/8lvyc/KF8pHymPKc8pzym/KW8o/yg/J08mLyTfI48iPyEfIC8fXx6fHd8c/xwfGy8aXxnPGY8Zvxo/Gu8brxxPHN8dTx2/Hm8fjyEvI28mPyl/LN8wLzMPNV823zevN983jzcPNp82bzaPNx837zkPOj87bzx/PY8+jz+fQN9CP0PvRb9Hv0nPS99Nv09/UP9SX1O/VT9XD1lPXA9fT2L/Zw9rf3APdK95L31fgP+D74Yvh++JT4pvi4+Mj40/jY+NX4zPjC+L34wvjV+PX5IPlP+YD5rvna+gP6K/pU+oD6sfrq+yz7ePvM/CL8dvzC/QH9NP1c/X/9of3G/e/+Gv5I/nb+pf7V/wb/OP9p/5f/wf/lAAYAJQBDAGEAfwCdALoA1gDzARMBNgFdAYcBswHgAg0COQJkAo0CtALYAvkDFQMtA0ADTgNaA2QDbwN+A5IDrAPLA+0EEAQwBE0EZQR6BI4EoQS3BM4E6AUCBRwFNAVHBVUFXQVfBVwFVgVPBUcFPgUzBSQFEgT9BOoE3ATVBNYE3gToBPME/AUEBQsFFQUhBTIFRAVVBWQFcQV7BYcFlAWmBbwF1QXvBgoGJAY9BlcGcAaKBqAGswbBBscGyAbDBrsGsQamBpsGjgaBBnQGaAZgBl0GXwZlBmwGcwZ1BnMGbQZmBmEGXwZhBmkGdAaABowGlwahBqkGrgawBq4GqAahBpsGmwajBrMGxQbUBtcGyQapBnoGRwYZBfYF4AXRBcEFpAV0BS4E2AR5BBwDyQOEA04DJgMHAvEC4gLXAs8CxgK5AqUCjAJyAl0CVQJeAngCmgK4AsYCuAKJAjsB1gFpAQEAqgBrAEUANAAyADcAPAA8ADcAMAAoACUAJQAnACkAJgAdAA8AAf/2//L/9f/8AAUADAATABwAKwBAAFcAaQBuAGMASQAuACIAMQBiALIBEgFxAcAB9wIZAi4CQAJTAmoCfwKPApYCmQKdAqgCvQLZAvcDEwMpAzoDSANYA2oDfgORA58DqgOzA7wDyQPZA+oD+QQFBA8EGwQrBEAEWQRyBIUEkgSaBKEEqgS6BM0E4QTxBPwFAwUJBRIFIQU0BUkFWgVoBXMFfgWOBaMFvAXVBekF9gX8Bf8GAQYEBggGDQYPBg0GCQYBBfgF7wXnBeIF3wXhBekF9AYBBgwGEgYUBhMGEgYTBhMGDQX9Bd0FrgV2BTwFCATfBL4EoAR+BFYEKAP/A+ID2gPpBAwEOwRvBKEEzgT0BREFIAUgBQ4E6QS1BHYEMgPrA6MDWAMPAssCkwJvAmACZQJ1AocCkQKPAoMCcwJmAl8CXwJiAmYCaQJrAnECfQKRAqwCxgLYAtsCygKmAnUCQAIUAf4CBwIyAngCyQMPAzUDLQL1ApwCNwHfAagBmQGpAccB4QHoAdYBrwF+AU0BJAEGAO8A2wDJALcApgCXAIoAfABqAFMAOAAb//3/4P/E/6T/fv9R/x/+7P7A/p3+hv53/mr+Vv42/gj9zv2L/Ub9Afy+/H78P/wA+8L7hftO+x769/rY+r/6p/qO+nD6S/of+fD5v/mR+Wj5Rfkn+Qz48fjV+Lj4nPiB+Gr4VfhE+DP4IvgR9/737PfZ98L3pfd+90n3CfbA9nT2LfXu9br1jvVm9T71FfTq9MH0nPR89GH0SfQx9Bjz/fPf88LzpvOO83nzZ/NZ80/zSPNB8znzLfMa8wLy5fLH8q3ymfKM8oXygfJ98nbya/Jb8kbyLPIM8efxvfGR8WXxO/EU8PHw0PCy8JTwd/BZ8DvwHO/679bvsO+J72LvOu8T7u3uyO6i7nzuV+4y7g7t6u3H7aPtge1h7UXtLu0c7Q/tBOz77PTs8Ozu7PHs9uz77QDtAu0D7QLtAu0E7QntD+0U7RjtGu0b7R7tJO0s7TTtOu097TztOu077UPtUu1n7YDtmO2v7cLt0+3h7e7t9u367frt9+357gTuHu5G7nbupe7I7tju1u7K7sDuxe7g7xPvVu+h7+vwL/Bv8Kzw7PEt8W/xrfHj8hDyNvJa8oDyqvLY8wfzMvNY83rzmvO78+H0C/Q39GX0kvS79OD0//UX9Sb1LfUv9TH1OvVR9Xz1u/YJ9mD2t/cK91f3nffi+Cn4dfjF+Rf5avm7+gz6X/q4+xj7gPvr/FP8sf0A/T79b/2Y/cT9+f49/pL++P9r/+YAYQDXAT8BkwHOAfECAAIDAgYCEAInAkwCfAKyAusDJQNiA6QD7AQ5BIUEzgUPBUgFfQWyBesGKwZyBrsHBgdQB5kH4wguCHgIvgj+CTgJbgmiCdkKFwpbCqQK7QszC3QLsgvvDC4Mcwy8DQgNUg2XDdMOBQ4uDlEOcg6XDsUPAA9KD58P+xBVEKcQ7REmEVERdRGTEa8RyxHnEgMSIBI9ElwSfRKfEsQS6RMOEzQTWhOBE6cTzBPwFBUUOhRjFI8UvxTxFSQVVxWIFbYV5RYTFkEWbxadFskW9BchF1AXghe1F+cYFBg6GFkYcBiEGJgYrRjCGNYY4xjoGOUY3BjRGMcYwRi9GLwYuxi4GLIYqhigGJYYihh8GGwYWxhJGDoYLBghGBcYDBgAF/IX5BfXF84XyRfIF8kXyhfIF8MXvBezF6oXoxegF6IXqRe1F8UX0xfeF+AX1xfEF6gXhxdkF0IXJBcKFvUW5RbbFtgW3BblFu0W7hbjFskWoRZwFkAWFxX7Fe0V6BXnFeEV1BW/FagVlBWMFZAVnhWxFcEVyRXIFcEVuhW8FcoV5BYEFiMWOBY8Fi8WFRXxFcsVpxWHFWsVUhU7FSYVDxT1FNcUshSFFFQUIBPvE8ITnBN5E1UTLhMDEtYSrBKJEpoShhJ2EmUSURI4EhwSARHpEdURxBGzEZ8RhhFrEVIRPREvESYRIBEYERARChEHEQwRFxElES0RKhEWEPIQwhCMEFgQKhADD+EPwA+dD3UPSA8WDuEOqw51DkEOEQ3lDbwNkw1pDTsNCQzVDKEMcAxFDB8L/gvfC8ALngt6C1QLLAsECtoKrQp7CkMKBAm+CXMJJgjbCJcIWwgqCAIH4AfBB6UHigd0B2YHYwdrB3wHkgemB7YHvwfFB8gHywfPB9IH0gfNB8IHtAekB5UHiAd7B20HWwdGBy0HEAbyBtQGtAaTBnAGTAYpBgcF6gXTBcIFtwWyBbEFtgXABc8F5AX9BhgGMwZLBl4GawZyBnIGbgZlBlkGSwY7BioGFwYCBesF0wW6BaEFiwV3BWYFWQVQBUoFSAVIBUgFRQU+BTIFIAUKBPQE4ATPBMIEtASlBJEEeQReBEMEKgQUBAAD7QPZA8UDsQOfA5ADgwN2A2gDVgNAAyoDFgMFAvkC7wLjAtMCvwKnAo8CeAJkAlECPQImAgsB7QHNAa0BjwFxAVMBMgEPAOwAyQCoAIgAaQBKACwAD//1/+D/zP+5/6P/iP9n/0b/J/8O/vz+7v7g/s3+t/6h/o7+hP5//nv+bf5K/g/9vf1e/P/8q/xn/DL8Bfva+6n7c/s7+wb62Pqy+pL6dPpU+i/6B/nd+bT5i/lk+Tz5Evjm+Ln4i/hf+DX4EPfv99P3uPef94b3afdK9yj3Bvbk9sf2rfaV9n32YvZB9hv18fXE9Zn1cfVM9S31EvT+9O304PTU9Mb0tfSg9Ir0dvRm9Fn0TfQ+9Cj0CvPo88bzqvOX84zzhfN882zzVvM88yLzDvMA8vfy7/Lk8tXywvKu8pnyhvJ38mnyXfJT8kzySfJH8kjySPJJ8knyS/JO8lTyWfJb8lbyS/I68ifyFfII8f/x9/Hs8drxwfGh8YHxY/FM8T/xPPFD8VLxaPGE8aTxxvHp8gjyIvI18kDyRfJG8kLyPPI18ivyHvIM8fTx2PG68Z7xh/F48XHxcPFw8W7xafFg8VfxUvFS8VnxZ/F58YzxnfGs8bfxwfHO8d/x+PIc8kryf/K38u3zG/M881DzVvNS80nzP/M38zTzNvM+80rzWvNt84HzlPOm87fzx/PZ8+70CfQq9FH0evSk9M308vUU9Tf1W/WD9bH15fYd9ln2l/bX9xn3Xfeh9+T4H/hS+Hj4lvit+MX43/j++Rz5M/k9+Tb5I/kM+Pz4/vkW+UT5fvm8+fT6IfpD+mD6ffqd+sX69Pss+2z7svv//E/8nPzj/SD9Uf15/Z39wv3t/h7+Vv6R/s3/B/9A/3b/qf/X//8AIAA8AFQAbQCJAKoA0AD6ASYBUQF8AaYB0AH6AiQCTQJ1ApsCvwLgAv4DGQMyA0cDWQNpA3gDhQORA54DrQO+A9MD7QQKBCkESARlBH8ElwSsBMEE1gTsBQQFHQU2BU8FYwVyBXoFewV1BWsFXwVUBUsFQQU1BSYFEwT+BOwE3wTZBNwE5ATuBPgFAQUJBRIFHQUrBTsFTAVbBWgFdAWABY0FnQWwBcUF2wXxBgYGHAYxBkgGXwZ1BooGmwanBq4GrgapBp8GkgaCBnIGYgZVBk0GSgZOBlYGYQZsBnQGdwZ0Bm8GaQZmBmkGdAaGBp4GtwbPBuQG8wb7BvsG9AblBtEGvAaqBqIGpga2Bs8G6Ab3BvYG4Qa7BosGWwYzBhYGAAXoBcUFjgVBBOEEeAQRA7gDcQNAAyEDEQMKAwgDCQMKAwgDAALwAtcCuAKXAnwCbAJsAnwClwKzAsUCwQKgAmMCDAGnAT8A4wCcAG8AWgBYAF8AZQBlAF0AUABDADsAOgA+AEIAQAA1ACIADf/8//X/+gAHABYAIQAnACwANQBGAF4AdgCEAIAAagBJAC0AJQA6AGsArgD0ATEBXgF/AZwBvgHnAhMCOgJVAmICZQJoAnQCjwK1AuADCAMnAzwDTANcA28DhQObA64DuwPEA80D2APmA/UEAQQKBBAEFgQiBDUETgRpBIAEkQSbBKIErAS7BNAE5gT7BQkFEwUbBSYFNgVKBV8FcQV+BYcFkAWcBa0FxAXbBfAGAAYKBhAGFQYZBh0GHgYaBhIGBwX7BfEF6gXmBeUF5gXqBfAF+gYGBhMGHQYlBioGLAYsBiYGGAX8BdIFnAVgBScE9wTTBLcEmwR7BFQELAQLA/sEAwQhBFAEhQS5BOYFCQUkBTYFPAUyBRIE3ASRBDcD1QNzAxYCxAJ/Ak0CMQItAj8CYAKEAqMCtAK1AqsCnAKMAn4CcgJjAk8CNQIZAgAB8AHsAfMCAwIYAi4CQAJLAk0CRAI0AiECFAIUAiQCQQJiAngCdwJaAiQB4gGkAXkBZgFoAXQBfAF2AWABQAEeAQMA9ADvAO8A7gDnANgAwgCoAI0AcgBZAEAAKQAT//7/6P/Q/7H/iv9Z/yT+7f69/pb+fP5q/l3+Tv45/hv99f3I/ZX9Xf0f/Nr8j/w+++37oftf+yj6/vrb+r36nvp9+lj6MvoM+ej5yPmr+Y75cflS+TD5Dfjp+MT4oPh8+Fv4PPgh+Aj38ffc98b3sPeX93v3W/c09wX20PaY9l/2K/X+9dn1ufWa9Xj1UPUk9Pb0yvSk9Ib0bfRY9EH0KfQN8/Hz1fO986jzmPOM84LzefNv82HzT/M28xny+/Lg8svyvfK38rXysvKs8qHykPJ88mPySfIr8grx5/HC8Z3xe/Fb8T7xIfEE8OTwwvCd8HjwUvAs8AXv3u+374/vaO9B7xzu+e7X7rXulO5z7lHuLu4J7eTtwe2h7YXtb+1d7U/tQ+027SrtIO0Z7RXtFO0V7RXtE+0P7QrtBu0E7QXtBu0H7QftBe0E7QXtCe0P7RftHu0j7SXtJu0p7THtPu1R7Wbte+2O7Z/tre257cPty+3P7dDt0e3X7efuBO4t7l7uje6x7sXuyu7H7sXuz+7r7xjvUO+M78fv/fAx8GjwpfDn8S3xbvGo8dfx//Ij8knydPKi8tHy/fMk80TzYvOB86PzyvP19CL0UPR+9Kj0zfTq9Pz1AvUB9P71A/UY9UP1hfXZ9jb2lPbr9zn3fve/+AL4S/ib+PD5SPmf+fT6Sfqg+vz7XPvA/CH8efzC/Pv9JP1C/V79gf2z/fj+U/7D/0T/zwBcAOEBUwGqAeIB/QIFAgYCDAIeAj8CbAKfAtMDBgM7A3YDuQQFBFYEpgTwBTEFbAWlBd8GHQZgBqQG6AcrB3AHtwgDCFIIoAjqCSwJZQmZCc0KBgpHCo0K1wsgC2QLpAvhDB0MXAyeDOANIQ1eDZYNyA34DikOXQ6aDt8PLA9/D9MQIRBmEKAQzhD0ERURNRFYEXwRohHHEesSDRIvElESdBKZEr8S5hMOEzgTYxOPE7oT5BQMFDMUWhSDFK8U3RUOFT8VbxWeFcwV+hYoFlgWiBa4FugXFxdHF3gXqRfaGAcYLRhMGGMYdRiGGJkYrRjAGM8Y1hjTGMkYuxivGKYYpBinGKsYrRiqGKMYmBiLGH4YcRhjGFMYQhgwGCAYEhgHF/4X9hfuF+QX2xfUF9EX0RfUF9YX1hfQF8UXuRetF6YXphesF7gXxxfWF+MX6xfsF+YX2BfBF6MXgBdaFzUXFRb9FvAW7RbyFvwXCBcRFxMXCxb1FtIWpBZvFjsWDxXwFeIV4RXmFesV5RXSFbQVkRV2FWsVdxWWFcAV6xYLFhwWHxYcFhoWIRYvFj8WShZIFjYWFxXxFcwVrRWVFYQVcxVeFUEVGxTuFLoUgRRGFAoT0ROgE3kTXBNHEzcTJBMMEvAS0BKzEq8SmxKJEnYSYBJFEiYSBhHpEdERvhGsEZcRfhFgEUERJBENEPsQ7RDgENUQyRDBELwQvBC/EL8QtxClEIcQXxAxEAMP1w+vD4oPaA9HDyYPAg7bDrIOhg5bDjIODQ3tDdANtA2TDWsNPA0HDNEMngxwDEoMKQwKC+kLxgufC3YLTQsiCvgKywqaCmQKKAnlCZ4JVAkKCMQIhghRCCYIAwfnB88HuwerB6AHmwecB6MHqweyB7YHtge1B7MHswe0B7YHtwe1B7EHrAenB6QHoQedB5YHiAd0B1oHPAcaBvgG1gazBo8GbAZIBicGCQXwBd0F0QXLBcsF0QXcBeoF+QYIBhYGIAYnBisGLQYtBi0GLQYsBioGJQYcBg8F/QXnBdAFuQWkBZEFgQVyBWQFVwVKBT4FNAUqBSEFFgUIBPYE4gTNBLkEqASaBI8EgwR2BGUEUQQ6BCQEEAP8A+oD1wPDA7ADnwOSA4kDgAN3A2oDVwNBAyoDFwMIAvwC8QLjAs4CswKVAncCXgJLAjsCLAIZAgAB4QG/AZsBeAFVATIBDgDqAMQAoAB9AFsAOwAa//r/2//B/6z/mv+J/3X/XP8+/x//Av7s/tv+zf69/qf+jP5v/lj+Tf5O/lX+V/5G/hv91f15/Rb8t/xk/CH76fu3+4T7UPsb+ur6vvqa+nr6W/o4+hH55vm7+ZD5Z/k/+Rf46/i++I74X/gy+Ar35vfH96v3kvd592D3RPcl9wT24vbA9qH2hvZu9lj2QvYo9gn15vW/9Zf1cPVK9Sf1CfTv9Nv0y/S+9LD0oPSN9Hn0Z/RY9Ez0QfQz9B70AvPf87vzm/OC83DzYvNV80XzMfMc8wfy9vLp8t3y0PLB8q7ymfKF8nLyY/JW8kryP/I28i7yKfIn8ijyKfIs8jDyNvI/8knyUfJU8k/yQvIv8hnyBfH08ejx3vHS8cHxq/GP8XHxVPE68SfxHPEa8SLxNPFN8WzxjvGw8c/x6vH88gXyBPH68enx1PG+8anxlfF/8WTxRvEm8Qjw8fDl8OPw6fDy8Pnw+/D58Pbw9/D+8Q7xJPE+8VnxcvGI8ZvxrfHB8dfx8/IX8kPydPKo8tfy/vMX8yLzIvMb8xDzCPMD8wLzBfMM8xXzIfMw80LzVPNm83bzhvOY87Dz0PP59Cr0YfSZ9M71APUv9V31jvXE9gD2QfaE9sf3BvdB93n3rvfh+BH4Pvhm+Ij4p/jH+Ov5F/lI+Xj5nfmu+ar5k/l2+WD5Xvl3+an56Poq+mL6jfqr+sP63Pr8+yT7VPuJ+8P8APxB/IT8yP0H/T/9b/2Z/cL98P4m/mf+rv74/z//gf+9//MAIwBNAHAAjQCmALwA1gD2AR8BUAGGAb0B8QIgAkoCcAKUArgC3QMCAyYDSANkA3oDigOVA5wDowOrA7UDwgPRA+AD7wP+BA4EHwQzBEkEYgR7BJQErQTGBOAE+wUXBTUFUwVxBYoFnQWmBaQFlwWDBWsFVgVFBToFMwUsBSQFGgUPBQUE/wT+BQMFCQURBRgFHwUpBTUFRQVYBWoFewWJBZUFoAWsBboFyAXYBecF9gYEBhMGIwY1BkgGWwZtBnwGigaTBpgGmQaUBooGewZqBlgGSgZCBkIGSgZYBmcGdAZ7BnwGdQZsBmUGZAZsBn8Gmga7Bt0G/AcWBykHMwc0BysHGwcEBusG1QbHBscG1QbuBwsHIQcoBxoG+AbIBpQGZAY+BiEGBgXiBa4FZgUMBKkESgP3A7kDjwN3A2sDZQNgA1wDVANKAzsDJQMJAucCwgKfAoMCcgJvAnkCiwKgAq8CrgKZAmsCJQHOAW8BFQDLAJgAfgB5AIAAiQCMAIYAeABoAFsAVQBVAFcAVQBLADsAKAAaABcAHwAvAD8ASABJAEUARABNAGAAeACMAJAAggBmAEcAMgAyAEYAaACNAKwAxADbAPsBKQFkAaMB2AH6AgcCCAILAh8CSwKLAtIDEgNBA1wDagNzA4ADkwOqA8AD0QPcA+QD7AP3BAQEEAQYBB0EIAQnBDQESQRiBHoEjQSZBKEEqwS7BNAE6QUCBRYFJQUxBT0FSwVdBW4FfgWIBZAFmAWiBbMFyAXfBfMGAwYMBhIGFgYZBhsGGwYYBhEGCAX/BfkF9QXyBe8F7QXrBewF8wX/Bg4GHwYtBjUGNgYtBhkF+gXPBZsFYgUtBQEE4QTMBLwEqgSRBHIEVARABEAEVwSABLQE5gUQBS4FQQVMBVEFSwU0BQYEvwRgA/IDfwMUArgCcQJCAioCKQI7AlsCgQKkAr0CyALHAr4CsQKkApYChgJwAlECKwICAdoBtwGZAYQBdgF0AX0BkwGyAdMB7QH4AfAB2QG7AaMBmAGdAa0BvQHGAcABrQGSAXYBXgFLAToBJwESAPsA6ADeAOAA7QEAAREBGgEVAQMA5QDCAJwAeABXADkAHwAJ//T/4f/L/7H/kP9p/zv/Cf7Z/qz+hv5n/k3+OP4j/g799/3d/bz9kf1b/Rf8xvxt/BL7v/t5+0L7F/r1+tP6r/qG+l36OPob+gX59vnm+dL5tvmR+Wf5OfkM+N/4tPiI+F74NvgU9/f34PfM97f3nveA91z3NPcK9uD2ufaT9nL2VPY69iP2DPXw9c71o/Vw9Tv1CPTd9Lz0ovSN9Hf0X/RE9Cj0DvP58+jz2/PP88Lzs/Oh84vzcvNY8z7zJ/MU8wfy//L68vXy7PLd8snysPKV8nnyXvJC8ibyCvHt8dPxuvGj8Y3xdPFX8TTxC/Dg8LTwifBf8DjwEe/r78XvoO9971vvOu8a7vru2u647pbuc+5Q7i3uDO3u7dPtvO2p7ZjtiO147WftWO1L7UHtOu007S/tKu0k7R7tGe0W7RTtEe0N7QXs/ez17PHs8ez27P/tCO0R7RbtG+0g7SftM+1C7VPtZe127YXtku2e7ajtsO227bvtwO3I7dft8O4U7j7uae6O7qnuuu7D7s3u3e747x7vS+9776nv1vAD8DbwcPCw8PPxNPFt8Z3xxvHs8hPyPfJr8pnyxPLr8w7zLvNO83Dzl/PB8+70HfRO9H30qfTN9Ob08fTy9O/08PUB9Sb1Y/Wz9g/2bvbJ9xv3Zveq9+/4N/iF+Nr5M/mO+en6RPqe+vf7Ufuq/AD8TfyQ/MT86v0E/Rj9LP1I/XP9s/4N/oH/Dv+pAEgA2gFSAagB2QHtAfIB+AIJAioCWgKQAscC+wMsA2ADmwPgBCwEegTGBQwFTAWLBcoGDQZSBpYG1wcVB1MHlAfbCCoIewjLCRMJUQmHCbkJ7QomCmcKrQr1CzsLfgu/C/8MPwyADMAM/g06DXMNrA3mDiQOaA6yDwEPUA+cD+AQGRBGEGoQiBCmEMcQ7REZEUgRdhGjEc0R9RIcEkMSaxKSEroS4RMKEzQTYBOPE78T7hQbFEYUcRSbFMcU9RUkFVQVgxWxFd8WDBY7FmwWnhbSFwUXOBdrF5wXyxf3GB0YPRhWGGsYfBiLGJsYqRi0GLkYuBixGKUYmRiQGIwYjhiSGJYYlhiRGIcYexhtGF8YUxhHGDsYLRgfGBEYBRf6F/IX6hfiF9sX1RfSF9MX1hfaF90X2xfUF8gXvBe0F7MXuRfGF9UX4xftF/AX7hfoF+AX1BfFF68XkxdxF08XMBcbFxMXGBcmFzgXSBdQF08XQxctFwsW4BasFnIWOBYGFeIV0RXRFdkV3hXXFcEVoBWCFXMVgBWrFeoWLhZkFoIWhRZ0Fl0WTBZGFkkWTRZIFjYWFxXxFc8VtRWmFZoVixVxFUcVDhTLFIQUPhP8E8ATixNfEz0TJxMaExMTDRMEEvMS3hLGEqgSlBKEEnUSYxJKEisSBxHjEcIRphGPEXgRYBFGESgRCxDxENsQxxC2EKUQlBCFEHgQbhBnEGEQVxBHEC8QEA/qD8EPmA9xD04PMA8VDv0O5Q7KDqoOhQ5eDjcOFA34DeINzg22DZgNcA1BDQ8M3gyzDI4MbQxODCsMAwvWC6QLcAs8CwgK1gqlCnMKPwoJCc4JjwlMCQkIyAiNCFsIMggTB/wH6wfeB9UH0AfMB8oHxwfDB7sHsQemB5sHkgeLB4gHhweIB4sHkQeYB6EHqgevB7AHqQebB4UHaQdIBycHBAbjBsIGogaCBmIGRAYpBhMGAgX6BfgF/AYEBgsGEAYRBg8GCQYDBf8F/QYABgUGCwYQBhEGCwX9BekF0QW5BaQFlgWOBYwFiwWHBX8FcQVdBUYFLgUVBP4E5wTSBL0EqgSZBI0EhAR9BHQEaQRaBEYEMAQZBAQD8APdA8oDtwOlA5YDjAOIA4kDiwOJA4EDcANZAz8DJwMTAwMC8wLgAscCqQKIAmgCTgI5AigCFwIBAeUBxAGfAXoBVQEyAQ8A6gDEAJ0AdgBQACsACP/k/8H/oP+D/2v/WP9G/zT/Hv8F/ur+0v6//rD+ov6S/nr+XP49/iX+G/4f/i7+Ov43/hr93f2H/SH8uvxb/Ar7x/uO+1r7KPr3+sn6oPp6+lf6MvoL+eL5uPmQ+Wr5Rvki+Pz40Pig+G74PPgP9+f3xfeo9433c/dZ9z33Hvb99tr2tvaT9nP2V/ZA9i32G/YH9fD10/Wz9Y/1a/VG9SP1A/Tl9Mz0t/Sk9JT0hPRz9GP0U/RG9Dn0LfQe9Anz7fPL86jzhfNn80/zOvMo8xbzBfL08ufy3fLV8s3yw/K18qPyjvJ68mfyVvJG8jfyJ/IY8gryAPH68fnx+/IB8gryF/Im8jTyPvJA8jnyKfIT8f3x6fHZ8c3xxPG78a/xoPGM8XXxXPFD8SzxG/ET8RTxIPE08U/xbfGL8ajxwPHP8dLxx/Gu8YvxY/E+8SHxCvD58Ofw0vC58J/wivB+8HzwgvCK8JDwkfCP8I7wlPCj8L3w3/EE8SnxS/Fr8YfxovG98djx9fIX8j3yZ/KR8rfy1fLn8u3y6vLi8tvy1/LX8tny3PLg8uTy6fLy8v7zDfMd8y7zQvNa83vzp/Pd9B30Y/Sq9O/1LvVp9aD12PYT9lP2l/bc9x/3XPeP97n32ff0+A74J/hE+GT4ifi0+Ob5H/lb+ZX5xfnk+e355fnU+cf5yvnh+g36Rfp++rD62Pr3+xP7MvtZ+4f7uvvt/CH8VvyM/MT8/f00/WX9kP26/eb+Hf5g/rD/Bf9a/6j/6gAiAFMAfgCmAMoA7AEKAScBSAFuAZwB0QIIAj0CbAKRAq8CyQLhAv4DIANIA3IDmwO+A9cD5QPqA+oD6QPrA/ID/gQNBBwEKQQyBDoEQgRMBFoEbASCBJ0EugTZBPoFHQVABWQFhwWmBcAF0AXTBcgFsQWSBXEFUwU+BTAFKQUmBSMFIQUgBSIFKAUxBTkFPwVDBUUFSQVTBWMFeQWRBakFvQXNBdsF5wXzBf8GCwYUBhoGHgYiBikGMwZABk4GXAZpBnQGfAaDBocGiAaFBnwGbgZfBlEGSgZLBlYGaAZ8BowGkwaRBoYGdwZqBmcGcQaJBqwG1gcBByUHQQdSB1kHVwdOB0AHLgcbBwsHAQcBBw0HIwc9B1QHXQdTBzUHBQbMBpMGYQY5BhcF8gXDBYYFOwTpBJoEVgQkBAMD7wPgA9IDwgOvA5sDhQNtA1ADLgMFAtkCrwKKAnECZgJnAnICgwKSApoClgKAAlcCGgHPAX0BLADpALgAnQCWAJwApgCsAKoAoACRAIMAeABzAHEAbQBlAFgASwBAAD8ARgBSAF4AZABjAFwAWABcAGsAgACTAJsAlACAAGgAVgBRAFgAZwB0AHwAgQCNAKoA2gEbAV0BkQGrAa4BpQGoAccCCgJqAtUDMwN1A5QDmgOVA5MDnQOyA8sD4QPxA/oEAQQLBBcEJQQxBDgEPQRBBEkEWARrBIAEkwSgBKoEtATCBNYE7wUKBSIFNQVEBVEFXQVqBXcFggWLBZMFnAWqBb0F1AXqBf0GCAYLBgoGBwYEBgQGBQYHBgcGBQYDBgAF/QX3BfAF6AXhBd4F4gXtBfwGDAYWBhcGDAX1BdQFqwV+BVAFKAUIBPQE6wToBOME1wTDBKkElASMBJoEvATtBSEFSwVlBW0FaAVbBUYFKAT7BLoEYQP3A4UDFwK7AncCTgI+AkMCVwJ0ApQCsQLFAtAC0gLLAsECtgKrAp0CiwJyAlMCMQIPAe4BzQGrAYYBYAE8ASMBGgEiATYBTAFYAVIBOgEYAPcA5QDoAQEBKQFVAXsBkQGVAYgBbQFIAR4A9QDSALwAtAC9ANIA7gEHARcBGQEMAPMA0wCwAI0AbQBPADMAGQAA/+f/zv+1/5z/gv9m/0b/Iv76/tD+pP55/lH+LP4N/fL92/3F/az9jP1g/SX83PyJ/DP74/ue+2j7Pvsb+vn60vqp+oD6XvpH+jv6NPor+hn5+PnM+Zn5ZPky+QP41vio+Hv4T/gp+Az39vfl99L3uPeT92j3OfcO9uv20Pa+9rH2pfaY9of2cfZS9in19fW79X/1SPUa9Pj03/TK9LT0m/R/9GT0TvQ+9DX0LvQk9BTz/fPh88LzpfOM83jzafNe81bzTvNF8zjzJfMN8vDy0fKy8pXyevJh8kryM/Id8gjx9vHj8c/xt/GY8XLxSPEb8O7ww/Ca8HLwS/Ak8ADv3e+8753vfu9d7zrvFu7y7s/ur+6R7nXuW+5B7ifuDu317d3txe2u7Zjthe107WbtW+1R7UjtQe067TbtMu0w7SztJu0b7Qzs/Ozu7OXs4+zo7PPtAO0N7RbtHe0j7SntMe087UrtWe1o7Xbtg+2O7Zjtoe2p7bDtt+2+7crt3O327hjuP+5n7ovuqO6/7tPu5+8A7x/vRO9s75fvwu/v8B/wVPCN8MfxAPE18WTxjvG38d/yCvI28mPyjfK08tny/PMg80fzcPOc88vz/fQx9GX0lvS/9Nz07PTx9PD08vUA9R/1U/WZ9ez2R/ai9vr3TPeY9+L4Kvh1+MX5G/l3+dj6O/qd+vv7VPun+/L8Nvxw/KH8x/zj/Pb9A/0Q/ST9Rv2A/dn+VP7r/5MAPADSAUcBlAG9Ac4B2AHpAgoCPAJ3ArUC7wMmA1sDlAPTBBkEYQSpBO0FLgVwBbQF/AZGBo0G0AcLB0QHfge9CAUIUgigCOsJLQlnCZwJ0QoJCkUKhgrJCw4LUguWC9sMIgxpDLAM9Q02DXQNsA3tDi0OcA63Dv4PQg+BD7YP4hAFECUQRRBpEJMQwxD3ESoRWxGJEbUR4BIMEjkSZxKTEr0S5hMNEzUTYBOOE74T7xQfFE4UfBSqFNoVDBU+FW8VoBXOFfsWKBZWFocWuRbuFyQXWBeLF7oX5BgIGCgYRBhbGHAYgRiPGJkYnxifGJsYlRiNGIYYgRh+GH0Yfhh+GHwYdxhvGGQYWBhMGEAYNhgsGCMYGhgQGAcX/hf1F+0X5RfdF9UX0BfNF84X0RfVF9gX2BfTF80XxxfFF8sX1hflF/IX+xf9F/cX7hfiF9gXzxfFF7YXoBeEF2QXRxczFywXMhdBF1MXYhdrF24XbRdnF1sXRBccFuIWmhZNFgoV3BXIFcsV1xXdFdQVvBWeFY0VlhXBFgYWUxaTFrcWuhajFoEWZRZWFlQWVhZRFj0WHBX2FdMVuhWtFaIVkBVtFTYU7hSfFFAUCxPRE6ITehNYEzwTJhMXEw4TBhL8EuwS1xK/EpUSfhJtEmASUhI+EiER/BHSEakRhRFmEU0RNhEhEQoQ9BDeEMoQuBCmEJUQghBwEF4QThBAEDMQJhAWEAEP6A/JD6YPgQ9eDz4PJA8RDwIO9A7iDskOqA6BDlgOMQ4SDfoN5w3UDbsNmw10DUgNHAz1DNIMswyTDG8MQwwOC9ELkQtQCxIK2QqnCnkKTwolCfgJxQmKCUsJCQjKCJMIZQhBCCgIFggLCAMH/Qf4B/IH6gfeB84HuwelB5AHfAduB2UHZAdpB3UHhQeXB6oHugfFB8oHxwe8B6kHkAdyB1IHMQcTBvcG3AbCBqcGiwZuBlQGPgYwBikGKAYpBigGJAYbBg8GBAX7BfcF+gYABgkGEAYSBgsF+wXhBcEFoAWFBXQFbwV2BYMFkAWWBZEFgAVlBUUFJAUFBOgEzwS6BKcEmQSOBIYEfwR1BGcEVAQ8BCIECAPxA9wDygO5A6cDlQOFA3sDeQOAA40DmwOjA6ADkQN3A1gDOAMcAwIC6wLTArgCmgJ6AlsCQAIoAhIB+QHcAbkBkwFrAUYBIwECAOIAwACaAHIASQAg//j/0P+p/4P/Xv89/yH/Cv74/uf+1f7C/q7+m/6K/nz+bf5c/kT+J/4K/fP96f3s/fr+Bv4G/e79uP1o/Qf8n/w9++j7oPtk+zH7AfrT+qf6fPpT+ir6AfnY+a/5iflm+Ub5KPkI+OL4tfiC+E34Gffs98b3qPeO93X3W/c+9x32+/bW9rH2jPZp9kr2L/YY9gX18/Xg9cn1rvWQ9W/1TvUu9Q/08fTV9Lr0o/SN9Hv0a/Rd9E70QPQy9CP0E/P/8+jzzPOt84vza/NO8zTzH/MM8vvy7PLh8tny1PLR8s3yxvK68qryl/KD8m/yXPJH8jPyHfII8fXx5fHb8dbx1/Hf8ezx/fIP8h3yJPIh8hXyAPHp8dLxv/Gy8ajxovGc8Zbxj/GG8XnxaPFT8T3xKfEc8RfxHPEo8TrxTvFk8Xnxi/GU8ZDxfPFW8SXw8fDE8KbwmPCV8JTwj/CC8HDwXfBR8EzwTfBQ8FDwS/BF8EPwTPBh8ITwr/Dd8QvxNfFb8X7xn/G88dfx8fIM8inySfJq8ojyoPKu8rTys/Kx8q/ysfK28rvyv/LB8sHywvLE8sry1PLk8vnzFvM8823zqvPw9D70jvTf9Sz1c/W19fD2J/Zc9pL2yvcE9z33cfec97v3zffY9+H37/gF+CX4T/iA+LX47vkp+WT5nPnM+fH6CfoY+iT6M/pL+mz6lPq++ub7Cvsr+077dfui+9P8Bfw1/GT8k/zF/Pn9LP1d/Yf9rP3R/fz+Nv6A/tj/Nv+Q/98AHwBTAIAAqgDWAQMBLwFYAX8BpgHPAfsCKgJZAoMCpQK9As0C2QLnAv0DHgNIA3oDrAPZA/sEEAQYBBkEFwQYBB4EKQQ4BEYEUgRZBF4EYwRqBHUEhwSgBL4E4AUGBSwFUgV2BZgFtgXPBeEF6gXnBdgFwAWhBYMFaAVSBUMFNwUuBScFJQUqBTUFRwVZBWgFbwVwBW4FbwV5BY0FqQXIBeUF/QYPBh0GKgY3BkQGTgZTBlQGUQZNBkwGTwZVBl0GZAZrBnAGdgZ7Bn8GgAZ8BnQGZwZaBlIGUgZcBm8GhgabBqgGqgagBpAGgAZ4Bn0GlAa6BuoHHAdKB2wHgQeIB4UHegdrB1oHSwdABzoHPQdHB1gHbQd+B4cHgQdpB0AHCgbPBpUGXwYvBgAFzQWSBVAFCwTMBJgEdQRgBFIEQwQuBBED7wPNA64DlAN7A10DNgMFAs4CmAJtAlMCTAJWAmoCgAKSApcCjAJvAkACAwG9AXUBMwD9ANYAwAC4ALkAvgDBAL4AtgCqAJ0AkgCKAIQAgAB6AHAAZQBbAFQAUwBXAF4AYwBlAGYAaQBxAH8AjwCeAKMAnwCSAIQAfQB+AIkAlQCcAJ0AnACiALgA4gEZAU4BcAF4AWkBVQFVAXwB0gJNAtUDTAOeA8IDwwOyA6MDowO0A88D6gP/BAwEFQQeBCsEPAROBFsEZARoBGwEdASBBJEEogSxBLwExgTSBOME+QUSBSsFQQVTBWEFbAV3BYAFiQWRBZkFpQW0BckF3wX1BgUGDAYLBgMF+gXyBe0F7QXuBe8F7gXsBegF4wXdBdgF1AXUBdcF3gXnBe0F7QXjBc8FswWQBW0FTQUzBSAFFgUTBRcFHgUkBSIFFwUEBPAE5QTqBQQFLwViBY4FqQWsBZcFcAU+BQMEwgR3BCEDwANbAvsCqgJyAlQCTwJeAnkCmQK5AtMC5QLuAu8C6QLfAtMCxgK3AqQCjAJuAk4CMAIXAgMB8AHZAbkBjQFZASUA+ADZAMgAvgC0AKUAjgB0AF0AVABgAIEAtADwASwBXQF6AX4BagFCAQ4A2gCxAJoAlwCmAL4A1QDjAOMA1gDAAKUAigByAF0ASwA5ACYAEP/3/9v/vP+c/37/Yf9I/zD/GP79/t3+uP6O/mD+M/4H/d/9u/2c/YD9ZP1D/Rr85fyk/F38FfvT+5z7cPtL+yf7AvrZ+rL6kvp9+nH6a/ph+kz6Kfn6+cP5jvlc+S/5A/jX+Kj4e/hT+DX4H/gO9/r33fe194X3Vfcs9xD3Afb99vz2+vbx9uD2xfaf9m72M/Xz9bT1fPVQ9TD1GvUH9PD01fS39Jz0iPR/9H30e/R09GL0RfQi8//z4PPK87zzs/Or86LzlvOF82/zVfM38xby9PLV8rjyn/KJ8nXyY/JR8kDyL/Id8gfx7PHL8abxffFT8SrxAfDZ8K/whPBa8DLwD+/v79LvtO+U73DvSe8j7wHu5e7N7rjuo+6K7m7uTu4r7gjt5+3I7a7tmO2H7Xrtb+1m7V3tVe1O7UrtR+1E7UDtOO0q7RjtBezz7Ojs5Ozp7PTtA+0R7RztJO0p7S3tMu067UXtUu1g7W3teO2C7Yrtku2Z7Z/tpe2s7bTtwu3X7fbuHu5L7nnuou7E7t3u8e8D7xjvNe9Z74Lvr+/d8AzwO/Bq8JrwyvD58SfxVPF/8avx1vIB8izyVfJ/8qjy0fL78ybzUvOB87Pz6PQe9FX0h/Sx9ND04/Ts9O/09PUC9R/1S/WG9dD2IvZ79tX3LveC99H4G/hi+Kz4+/lU+bX6HfqG+uz7Svud++X8IvxV/IH8pvzE/Nr86vz0/P79D/0x/W79zf5R/vH/nwBHANYBQQGFAagBuwHNAeoCFwJRApMC1wMYA1cDlwPYBBsEXwShBOAFHgVeBaIF6wY3BoEGxgcDBzoHbwenB+UIKQhwCLcI+wk8CXkJtQnzCjEKcQqxCvELNAt5C8IMDwxdDKoM9A04DXYNsA3nDh8OWg6WDtMPDw9HD3oPqA/SD/sQJxBXEI0QxBD6ES0RXBGHEbER3RILEjsSbBKbEscS8BMYE0ATaxOYE8YT9hQmFFYUhxS6FO8VJRVbFY8VwRXwFh4WTBZ7FqwW4BcUF0oXfRetF9YX+hgXGDAYRxhcGG8YfxiKGI4YixiEGHsYcxhwGG8YcRhyGHEYbBhmGF0YVRhNGEUYPRg1GCsYIRgYGA8YCBgBF/wX9hfwF+oX4hfbF9QXzhfKF8kXyxfNF9AX0hfSF9IX0hfWF94X6hf2GAAYBBgAF/UX5hfVF8UXtxeqF5sXiRdyF1kXQRcxFykXKxc0F0AXTBdYF2YXdxeKF5kXnBeGF1IXAhajFkcWAhXdFdgV5hX0FfIV3BW7FZ8VmxW6FfcWQxaHFrIWvRauFpMWehZtFmoWaRZfFkcWIRX4FdQVvRWvFaQVjxVnFSkU3BSMFEMUCRPeE78TphOME3ETVhM9EygTFRMBEuoSzxKxEoUSaRJUEkUSNxImEg0R6xHCEZgRbxFMES8RGBEEEPIQ4hDREMIQtBClEJYQhRByEF4QSRA2ECQQExADD/EP2w/CD6UPhQ9kD0cPLw8eDxMPCg8ADu4O1A6xDooOYw5CDiYOEA37DeINww2dDXINRw0eDPsM2wy6DJUMaAwwC/ALqgtjCyAK5AqyCokKZApBChoJ7Qm4CXwJPQkACMkImgh0CFgIRAg2CCwIJgghCBwIFAgIB/YH3wfEB6cHjQd4B20Hawd1B4cHoAe5B9EH4gfsB+4H5wfYB8IHpweIB2gHSgcwBxsHCQb4BuUGzQawBpIGdgZgBlAGRwZABjkGMQYnBh0GGAYXBhoGIQYoBisGKQYdBgkF7AXIBaEFfAVfBU8FTgVZBWoFeQV/BXkFZQVJBSkFCwTxBNwEzAS/BLQEqQSdBI8EfgRoBE0ELQQMA+4D1APAA7EDpAOVA4YDdgNqA2YDbAN7A48DogOsA6kDlwN6A1cDMwMRAvMC1wK9AqECgwJlAkgCLAIRAfUB1gGzAYoBYAE2ARAA7QDNAK4AjQBoAD8AFP/o/7z/kf9o/z7/F/7z/tP+uv6n/pj+jP5//nP+Zf5X/kj+N/4j/gv98f3X/cP9uP24/b79w/29/aL9cP0m/M38bvwT+8L7fftE+xP65fq3+or6W/ou+gD51Pmr+YT5YflC+SX5CPjo+MH4k/hf+Cn39/fN96v3kPd592H3Rvcm9wL23Pa29pD2bfZM9iz2EPX19dz1xPWq9Y/1cvVU9Tb1GvUA9Oj00fS79KT0jvR69Gj0WfRM9D70L/Qe9Arz9PPb87/zovOD82XzSfMw8xvzC/L98vLy6PLg8try1fLQ8snyv/Ky8qHyj/J88mnyV/JF8jLyHvIJ8fbx5fHY8dDxz/HU8eDx7/H+8gjyCfH/8ezx1PG68aTxkvGF8XrxcfFq8WXxY/Fi8WDxWvFO8T7xLvEh8RrxGvEf8SbxL/E58UPxTfFR8UnxMPEE8Mzwk/Bm8E3wSPBT8GHwafBn8FvwTfBD8D/wP/BB8D7wN/Aw8C/wOfBS8HfwpfDV8QPxLvFW8Xrxm/G48dDx5fH58g3yJPI98lXyaPJ28n7ygvKF8ovykvKc8qXyrPKy8rTytfK28rnywPLO8ujzEfNI847z3PQw9IT01fUk9W/1tvX59jX2Z/aR9rb22Pb99yX3Tvdz95D3o/eu97j3yPfi+Aj4Nfhn+Jf4xvj3+Sz5afmq+ev6J/pX+nv6lvqr+sH62vr3+xf7Oftc+4H7p/vP+/j8IfxK/Hb8pvzb/RT9TP1+/ab9xf3j/gj+PP6C/tj/Nf+O/9sAHABRAIIAtADrASMBWwGPAb0B5gIOAjUCXgKFAqkCxQLYAuQC7AL3AwkDJQNMA3wDrwPfBAcEIQQvBDQEMwQ0BDkEQwRRBGEEbwR7BIQEjgSaBKsEwwTgBQMFKQVRBXcFmAW0BckF2QXiBeYF5AXcBc4FvAWpBZYFhgV3BWkFWQVIBToFMgU3BUcFYAV7BY8FmAWXBZIFkgWeBbcF2QX/BiAGOAZIBlQGXgZqBngGgwaKBowGigaFBoIGgAZ/Bn8GfgZ+Bn8GggaFBocGhQZ/BnMGZQZZBlIGVgZiBnYGjAafBqoGrAanBp4GmAaaBqoGyQbzByQHVgeCB6MHuAfAB74HtAemB5cHigeCB38HgweLB5YHnwekB6AHkgd3B1AHIAbpBq8GdAY2BfMFrAVgBRUE0wSgBIEEdQRzBHEEZgRLBCQD+APPA7EDnAOLA3IDTQMYAtgCmQJmAkcCPwJLAmQCfwKUApoCjAJqAjcB9wG0AXMBPQEUAPgA5wDdANYA0ADKAMIAuQCvAKQAmQCQAIoAhAB/AHkAcABlAFoAUQBNAE4AVABeAGkAdgCDAJEAngCmAKgApACdAJgAmQCiALEAwQDMANEA0wDZAOsBCgEvAU8BXAFSATcBHAEaAUMBnwIjArcDPQOfA9ID3QPSA8QDwgPQA+kEAwQYBCQEKwQzBEAEUwRnBHkEhASJBIsEjgSWBKQEtATEBNIE3QTnBPQFBQUaBTIFSAVdBW4FfAWHBZEFmgWiBaoFtAXABdAF4gX0BgIGCAYHBgAF9QXqBeAF2QXSBcwFxAW7BbMFrwWwBbkFxwXZBeoF9gX4BesF0AWoBXoFTAUnBQ8FBgUKBRYFKAU6BUsFVwVdBVwFVgVNBUgFTAVeBX0FpAXHBd0F2gW9BYYFOwTlBIkELAPPA3UDHwLUApkCcwJjAmgCfAKaArkC1wLwAwIDDQMQAwwDAwL3AukC2gLHAq8CkgJvAkwCKwISAf8B8QHhAcoBpwF5AUMBDADZAK0AiQBrAFAAOAAjABMACwAQACQASQB8ALgA9QEnAUMBQwEpAPwAyQCeAIUAgQCNAJ4AqgCqAJ4AiQByAF4AUABFADsAMAAhAA7/+f/g/8X/pv+E/2D/Pf8d/wL+6/7X/sH+qP6K/mT+Of4J/df9p/17/Vf9Ov0i/Qn86vzA/Ir8TPwN+9P7oft4+1P7LvsI+uL6wfqn+pb6ivp8+mf6Rvob+ev5ufmL+WD5NPkF+NP4o/h4+Ff4QPgu+Bj3+ffQ96D3cfdN9zf3MPcy9zX3M/co9xH28PbF9pD2VPYU9df1ovV79WD1TfU69SL1A/Th9ML0rvSm9Kb0pvSg9I30b/RN9Cz0E/QE8/zz9fPt89/zzPO085jzevNa8znzGPL58t7yx/K08qTylfKH8njyZ/JU8j3yIfIA8dzxtvGP8WjxQPEV8Ofwt/CH8FvwNvAX7/vv4O/B75/vee9W7zbvHO8H7vLu2u687pjub+5D7hjt8O3O7bPtn+2Q7Ybtf+147XDtaO1f7VjtU+1Q7UvtQ+047SjtFe0E7Pjs8uz07PvtBu0R7RrtIe0n7SvtMe047UHtTO1Y7WPta+1x7Xbte+1/7YXti+2S7Zvtqe3A7eHuDu5C7nnuq+7R7uru+O7/7wjvGO8y71fvg++y7+DwDPA28F/wi/C48OfxF/FG8XPxnvHI8fPyHvJL8nryqfLZ8wjzN/Nn85jzzPQD9Dn0bPSX9Lj0zvTc9OX08PUB9R31RfV59br2BvZb9rb3Evdt98L4D/hX+J345vk3+ZL59fpe+sX7J/t9+8f8A/wy/Fj8d/yR/Kj8u/zL/Nr87P0I/Tb9gP3s/nn/Hv/LAGwA8QFRAY0BrgHDAdsB/gIwAm8CtQL/A0kDkQPYBB0EXwSeBNkFEwVPBZAF1wYiBmwGswbzBy0HYweYB88ICghICIgIygkOCVQJmgnhCiYKaAqpCugLKgtwC7oMCAxXDKMM6Q0oDWANkw3EDfcOLQ5nDqMO4Q8dD1cPjQ/BD/UQKhBjEJ0Q1xEOEUARbRGXEcAR6xIYEkYSdBKgEsoS9BMeE0oTeBOnE9UUBBQzFGMUlhTNFQUVPhV1FakV2xYMFjwWbhaiFtYXDBdAF3MXoxfNF/AYDRgkGDYYRxhWGGUYcBh2GHUYbhhkGFsYVhhVGFgYWxhbGFUYTBhBGDcYMBgsGCoYJxghGBkYDxgFF/wX9hfxF+4X6xfnF+MX3xfbF9YX0hfOF8sXyhfMF84X0xfXF9wX4RflF+sX8Rf3F/sX+hfzF+QXzxe3F50XhhdzF2UXWhdQF0UXORcuFyYXIRchFycXMhdCF1oXeBeZF7MXvRerF3cXJRbBFmEWFxXxFewV/BYNFg0V9hXOFagVmBWoFdoWIBZmFpoWsxazFqUWlRaIFoAWdRZhFkEWGBXvFc4VuRWuFaMVjhVmFSwU5xSiFGcUOhQbFAQT7BPQE60TiBNjE0MTJRMJEusSyhKnEn0SXxJGEjMSIxITEf4R4hHAEZoRcxFPETARFRD+EOsQ2hDLEL4QsBCiEJMQgRBsEFYQPxApEBUQBA/1D+cP1w/ED6wPkA9yD1QPOg8lDxcPDg8FDvkO5w7PDrMOlQ55DmEOSg4yDhUN8Q3EDZMNYA0wDQcM4wzCDJ8MdgxCDAULwgt9CzsLAgrSCqoKhgpiCjsKDQnZCaIJaQkzCQII1wiyCJQIfAhqCF4IVghTCE8ISghBCDEIHAgBB+QHyQeyB6UHowesB8AH2Qf0CAoIFwgaCBIIAQfpB8sHqweKB2sHUAc8By8HJwcgBxUHAQblBsMGoAaBBmkGVwZKBkAGOQY0BjUGOwZGBlIGWgZbBlEGPgYiBgAF2gWzBYwFaAVLBToFNQU6BUYFUQVUBU0FPQUnBQ8E/ATtBOQE3ATUBMkEuQSlBIsEawRHBCAD+APVA7gDowOWA4wDgwN3A2oDXQNVA1cDYQNyA4QDkAORA4QDbANMAykDCQLtAtQCvgKnAo0CcQJSAjMCFQH2AdcBtgGQAWgBPQETAOoAxAChAH4AWgAzAAj/2v+r/3z/Tv8i/vf+zv6p/on+b/5c/k/+SP5D/j7+N/4u/iH+EP37/eP9yv20/aL9l/2T/ZL9jv1//WD9Lvzq/Jn8Q/vx+6f7afs0+wT61/qo+nb6Q/oQ+d75sfmI+WP5Qvkk+Qf46PjF+J34cPg/+A334Pe595n3f/dn9073MfcO9un2wvad9nr2WPY39hb19PXR9a/1jvVt9U71MPUT9Pj04vTP9L70rvSd9Iv0ePRm9Fb0SPQ79Cz0G/QF8+rzzfOt84zza/NM8y/zFvMD8vXy7PLm8uHy3fLX8tDyx/K98rHyo/KS8oDybvJd8k7yQfI18ijyG/IM8f3x7fHg8dfx0/HU8dzx5vHu8fDx6fHY8b/xpPGK8XXxZfFY8UvxQPE28TDxLvEx8TTxNPEv8SXxG/ES8Q7xDvEO8Q7xDvEO8RLxGPEd8RfxAvDZ8KLwafA78CHwHvAs8D7wS/BP8ErwQfA88D3wQPBE8EPwQPA98EDwTvBo8IzwtfDf8QfxLPFR8XPxk/Gv8cbx2PHo8ffyCPIb8i3yPfJK8lTyXfJl8m7yefKD8o/ynPKp8rXyv/LF8sjyzPLY8vTzJPNr88H0IPR99NP1HvVj9aX15/Yn9mL2kva09sr22fbq9wL3IPdC92P3f/eX96/3zff1+Cb4W/iO+Lv44/kL+Tv5ePnB+hD6WvqX+sD62vrp+vf7C/so+0z7c/uZ+7r71/vv/Ab8IPxA/Gv8ofzi/Sf9a/2l/dH98P4J/iX+Tf6G/s7/Hv9v/7n//AA6AHYAtgD4AToBdwGuAdwCBAIqAlECewKlAs0C8AMMAyEDMAM9A00DYwOCA6gD1AQABCcEQgRRBFUEUwRQBFIEWQRnBHkEjASeBK8EwQTWBO4FCwUuBVMFeQWdBbwF0wXgBeUF4wXdBdQFyQW/BbQFqgWiBZwFlwWSBYgFeQVmBVQFTAVRBWUFhAWjBbkFwgW+BbcFtgXDBeEGCQY0BlgGcAZ+BoUGigaSBpwGqAaxBrgGuwa8BrwGuga3BrMGrgapBqcGpgamBqMGmwaOBn0GbAZfBlgGWgZjBnEGgAaPBpwGpwawBrkGxAbTBukHBgcpB1IHfAekB8YH4AfxB/gH+AfxB+cH3gfWB9AHzgfMB8kHxQe9B7EHoQeKB2wHRQcVBtwGmQZPBfsFoQVEBOsEnwRoBEwERgRPBFkEVwRFBCQD+wPWA7oDpwOXA4EDXgMrAu8CtAKCAmICVgJaAmgCegKHAooCfgJgAjEB9QG2AXkBSAEjAQwA/ADwAOUA2QDNAMQAuwCzAKgAnACOAIIAeAByAG4AagBkAFwAVABPAE8AVgBjAHIAggCQAJwApQCrAK4ArwCvALAAswC7AMYA0gDdAOUA7QD3AQYBGwExAT8BPgEtAREA+AD3ARwBbgHnAnQC/gNxA8ED7gQCBAkEEAQcBCsEOgRFBEoETQRTBF0EbgSABJAEmgSdBJ0EnwSmBLQExgTaBOsE+AUCBQwFGAUpBTwFUQVlBXcFhwWVBaIFrQW3BcAFxgXNBdUF3gXpBfMF+gX7BfUF6gXdBc4FwQW0BagFngWVBZIFlwWlBb4F3AX6Bg8GFAYDBdwFogVfBR0E6QTJBMIE0ATsBQ4FLwVLBV8FbgV6BYUFkQWeBa0FvgXQBd8F5wXjBcwFoQVgBRAEtARUA/QDmgNJAwQCzQKnApUCkwKgArUCzQLkAvgDBwMSAxkDGwMZAxIDBgL3AuYC1QLBAqsCkAJwAk4CKwIKAe4B1gHAAakBjQFsAUUBGQDsAL8AlQBxAFQAOwAmABP////u/+X/6wAFADYAdgC5AO4BCgEGAOgAuwCRAHUAbABxAHsAgQB9AHEAYwBaAFgAWQBZAE8AOQAZ//L/zP+r/4//dP9Y/zj/Ff7w/s7+sf6b/on+ef5m/k3+LP4C/dD9mv1n/Tv9Gv0E/PX85PzK/KP8b/wz+/b7v/uR+2r7Rvsj+v762/q8+qP6kPp/+mz6Uvoy+gz54vm3+Yn5Wfkk+O34ufiM+Gv4VPhC+Cz4Dvfl97b3i/dq91f3UvdT91P3S/c59xz29vbI9pX2XfYk9e/1wvWh9Yv1ePVj9Uf1IfT59NT0u/Su9Kv0qPSg9I/0dvRc9Ef0OvQ29DT0MPQk9BDz9/PZ87vznPN881zzPfMg8wfy8/Lj8tbyyfK78qvymfKF8m7yU/I08hHx6/HF8Z3xc/FF8RXw4/Cy8IbwYvBD8CjwDe/v783vq++K723vVe897yPvA+7c7q/uf+5Q7iXuAO3g7cftte2n7Z/tmO2S7YrtgO117WrtYe1a7VXtTu1F7TjtKe0a7Q3tBO0A7QHtBO0K7RDtF+0e7SbtLe027T7tRu1O7VXtWu1d7WDtZO1o7W3tdO197Yntm+227dvuDO5F7oDutO7b7vDu9u7z7u/u8u8C7yDvSO9276Xv0e/68CTwT/B98K/w4vEU8UPxb/GY8cLx7/Ie8lDyhPK38ujzF/NF83TzpfPZ9A30QPRu9JT0svTI9Nv07PUC9R31QvVw9av18fZC9pv2+vdZ97X4Cvha+KT47fk4+Yn53/o7+pn69/tO+5z72/wL/Cz8QvxR/GD8cvyI/KL8v/zh/Q79Tf2m/h7+sv9ZAAMAnAEYAXEBqAHJAeIB/QIlAloCmwLjAy8DewPFBAsETQSLBMYFAAU7BXoFvQYEBkwGkwbXBxYHUgeLB8IH+QgxCGwIrAjwCToJhgnTCh0KYwqmCucLKwtyC7wMBwxQDJQM0Q0HDTgNaQ2bDdIODQ5ODpEO1Q8XD1UPjw/GD/wQNBBuEKkQ4hEZEUsReRGjEc0R9xIiEkwSdRKcEsMS7RMaE0sTfhOwE+EUDxQ+FHAUphTgFRoVUxWIFboV6hYbFlAWhxbAFvgXLhdgF44XtxfbF/kYEhgkGDIYPRhHGE8YVBhWGFQYThhHGEEYPRg9GDwYOhg0GCoYHxgVGA4YDBgNGA0YCxgGF/8X9hfvF+oX5xflF+MX4RfeF9wX2xfaF9kX1hfTF9EXzxfRF9cX4BfqF/QX+xf+F/8X/hf8F/gX8RfkF9EXtheWF3YXWhdJF0MXRxdPF1UXVRdMFz4XMBcoFysXOBdQF20XixehF6kXnBd2FzUW4BaEFjEV9hXcFd8V8hYFFggV9RXTFbAVnxWsFdYWFRZXFo0Wrha6FrcWqxacFosWcxZTFiwWAhXcFcEVsBWlFZoVhhVkFTYVAxTRFKYUhBRmFEgUJRP6E8oTmRNsE0QTIhMDEuQSwhKfEnYSWhJCEi0SHBILEfkR5BHJEasRiRFmEUQRJREJEPEQ3RDMELwQrRCdEIsQdxBgEEgQMBAaEAcP+A/tD+QP2g/MD7oPog+FD2cPSQ8vDxkPCQ78Du8O4g7SDsEOrw6eDo4OfA5nDkkOIQ3uDbQNeA0/DQ8M6AzIDKoMiAxcDCYL6QunC2gLMAsACtYKrwqHClwKLAn6CccJlglpCT8JGgj4CNsIwgiwCKUInwicCJkIkwiJCHoIZwhQCDgIIAgLB/wH9Qf4CAQIFwgqCDgIPQg3CCYIDQfuB8wHqgeKB24HWAdLB0UHRAdDBzsHKQcLBuQGuwaVBncGYAZQBkcGQgZEBk0GXQZwBoEGiAaBBmsGSQYgBfQFygWjBX8FXwVEBTEFKQUrBTQFPgVGBUYFPwUzBSYFGgUQBQYE+wTsBNYEugSaBHQESwQhA/cD0AOwA5gDiQN/A3YDbQNhA1QDSQNDA0YDTgNYA14DWgNKAzADEQLyAtkCxgK6ArACpgKXAoICZgJGAiQCAQHfAb0BmwF3AVEBKAD+ANMAqQCAAFgAMAAF/9f/pv9y/z7/DP7c/rH+if5l/kf+Lv4b/hD+C/4L/g3+D/4N/gb9+f3m/c/9uP2i/ZH9hv1//Xr9cv1g/UD9D/zO/IL8Mfvi+5r7Xvsp+vv6zPqb+mX6LPnz+b75j/lo+Ub5KPkL+Oz4yvil+H34Ufgl9/j3z/eq94r3bvdT9zf3GPb29tL2r/aM9mz2TPYq9gX13vW09Yv1ZPU/9R71APTl9M30ufSo9Jv0jvSB9HP0Y/RT9EP0NPQl9BLz/PPg88DznPN481PzMfMR8vby4PLR8sjyxPLD8sLyv/K58rHyp/Kd8pHyhPJ18mTyVPJG8jryMfIp8iHyF/IK8frx6/Hd8dTx0fHU8drx4vHl8eHx0fG48Zfxd/Fa8UXxN/Et8SXxHvEY8RXxFPEW8RfxE/EL8QDw9fDu8Ozw7PDr8Obw3/Da8Nzw5vDz8Pvw8/DY8Kzwd/BI8CjwHfAg8CzwNvA68DrwOfA68D3wQfBE8ETwQ/BE8E7wYfB98J/wwvDk8QbxJvFH8WjxhvGh8bfxyfHZ8ejx+PII8hfyJfIz8kHyT/Jc8mbybvJ18n/yjvKk8rzy0fLf8uTy5PLr8wXzOfOK8/D0XfTE9Rv1YfWb9dH2CPZA9nX2n/a79sn2z/bV9uL2+fcZ9zz3X/eC96r32PgQ+E/4j/jK+Pz5J/lR+YL5vvoF+k76kPrB+t767fr4+wn7J/tU+4n7vvvq/Aj8Gfwg/CX8MPxJ/HL8rvz3/Uf9lf3Z/g7+M/5O/mf+hf6u/uP/If9j/6j/7AAxAHcAvwEGAUgBgwG0Ad4CBAIrAlcChgK5AusDGQNAA18DdgOHA5YDpwO/A94EBQQvBFUEcQSABIMEfQR2BHMEeASFBJkErgTEBNoE8QUKBSgFSQVtBZIFtQXRBeQF7QXrBeIF1AXGBbkFrwWnBZ8FmQWVBZMFkwWSBY4FgwV1BWgFZAVvBYgFqwXNBeUF7AXmBdwF2AXkBgEGKwZYBn4GmQaoBq4Gsga1BrsGwgbJBtAG1wbfBuUG6QbqBugG5QbiBt8G3QbXBs0GvQaoBpMGgQZ1Bm4GbQZuBnEGdwaBBpEGqQbEBuEG/QcVBysHQgdbB3gHmQe8B90H+ggRCCAIKAgqCCgIJQghCBwIFQgKB/wH6gfWB8EHqweSB3QHTgcfBuYGpQZcBgoFrgVKBOQEhgQ8BA4D/gQGBBgEJwQoBBkD/gPgA8UDrwOaA4EDXwM0AwQC2AK1ApwCjAKCAnsCdQJuAmYCVwI/AhoB6AGtAXMBQAEaAQIA8wDqAOEA1wDPAMgAwQC6AK4AnACGAHEAXwBWAFQAVgBaAFwAXABdAGAAaAB0AIIAjgCYAKAApwCvALkAwwDMANIA1QDWANYA1gDYAN0A5QDwAP4BDQEaAR8BGwENAPkA6QDoAQEBPQGZAhACkgMSA4ID2QQYBD8EVgRiBGgEawRtBHAEdQR+BIoEmASkBK0ErwStBKoEqwSyBMEE1gTtBQIFEgUeBSgFMwVABU8FXwVvBX0FigWXBaQFsQW9BccFzgXSBdQF2AXdBeIF5QXjBdsFzQW9BawFoAWZBZcFmwWjBbAFwwXcBfcGEQYjBiQGDwXhBZ4FTQT6BLMEggRtBHQEkAS6BOgFEQU0BVIFbAWHBaUFwwXfBfQF/AX2Bd0FswV5BTME5ASUBEQD+AOzA3UDPwMTAvIC3gLXAt4C7QMAAxIDIAMpAywDLAMqAycDIQMYAwoC+ALjAs0CuAKkApECfQJlAkgCJwIEAd8BuwGZAXoBXQFBASUBBgDkAMAAnQB9AGMATQA5ACIABP/g/77/qP+r/8wACQBUAJwAzgDfANAArACDAGQAVQBTAFgAWgBYAFQAVQBfAHMAiACSAIYAYQAm/+D/nP9l/z7/I/8P/vj+3P67/pj+eP5f/kz+Pv4w/iD+B/3l/br9iP1V/Sf9A/zq/Nr8zfy7/J38cfw6+/77xPuS+2f7RPsi+wD63vq9+qD6iPp1+mT6Ufo7+h75/PnS+aL5bPky+Pj4w/iZ+Hv4ZvhV+ED4Ivf79873pPeF93L3avdn92H3Uvc49xX27Pa/9pD2YPYy9gj15fXK9bT1n/WE9WD1M/UE9Nr0u/So9J70l/SN9H70bfRg9Fn0W/Rh9Gb0YvRT9Dz0HvP+89/zwPOh84LzZPNK8zXzJvMb8w/zAfLv8trywvKq8pDydPJV8jHyC/Hi8bnxj/Fk8TjxDfDk8L7wnfB/8GHwQfAf7/vv2O+576DviO9w71HvK+7+7s3unu5z7k/uL+4U7f3t6e3Z7cztw+267bDtpe2X7Yntfe1y7WjtX+1U7UftOe0q7R3tE+0M7QjtB+0I7QvtEe0a7SPtLO007TrtP+1C7UTtSO1M7VLtWO1f7Wbtbe127YPtlu2y7dnuCu5C7nzur+7V7uru7u7o7t/u3e7o7wHvJ+9U74Lvru/X7//wKPBV8IfwvPDx8STxU/F/8anx0/IA8jHyY/KW8sfy9vMk81Hzf/Ov8+H0FPRE9HH0mfS79Nf08PUJ9SP1Q/Vr9Z713fYo9n322fc695v3+vhW+K34//lM+ZX53foo+nf6yvse+277svvk/AT8E/wZ/B78KPw9/Fr8fvyn/NT9DP1W/bv+Pv7a/4QALADCAToBkQHLAfECEQIzAl0CkgLPAxIDWAOeA+MEJgRmBKQE4QUeBVwFnQXgBiUGagavBvIHMwdyB64H6QgiCF4IngjkCS8JfQnLChYKXQqhCuQLKgtyC7sMAQxDDH0MsgzjDRUNSw2GDccODA5UDpwO4Q8iD14Plg/LEAAQNxBxEKsQ5REaEUsRdxGhEcoR9RIgEkoSchKZEsAS6xMbE04ThBO4E+kUGRRJFH4UtxTzFTAVaBWbFcoV+BYoFl4WmRbUFw0XPxdrF5EXsxfRF+wYAxgUGCEYKBgtGDAYMhgyGDIYMBguGCwYKRgmGB8YFhgLGAAX9xfzF/MX9Rf3F/cX8hfrF+QX4BfeF+AX4RfhF+AX3BfZF9gX2BfZF9oX2RfYF9cX2RfgF+wX/BgMGBoYIhgjGB8YFxgOGAIX9RfkF8wXrxeOF3AXWhdTF1sXcBeHF5cXmBeJF28XVRdGF0kXXBd5F5QXohebF30XSBcCFrIWYBYUFdcVsBWiFagVuxXNFdcV0xXGFboVuhXNFfMWJxZcFokWqBa3FroWsxakFo0WbhZHFhwV9BXRFbgVpxWZFYkVdBVZFTsVGxT8FN8UvxSbFG4UOhQAE8YTjhNeEzUTERLyEtMStBKVEmcSTxI5EiUSExIEEfQR5BHQEbcRmhF5EVYRNBEUEPkQ4hDOEL0QrBCaEIgQdBBfEEkQMxAgEA8QAQ/3D+8P5w/dD84Puw+iD4YPaQ9MDzAPFw8BDuwO2Q7IDrkOrQ6jDpoOkQ6DDmsORw4VDdgNlw1YDSMM+gzcDMQMqgyGDFgMHgveC58LZAswCwIK1wqqCnwKSwoaCewJwQmaCXYJVQk3CR8JDAkCCP0I/Aj6CPUI6wjbCMgIswifCIwIeghoCFgISghCCEAIQwhJCEwISQg9CCkIDwfxB9IHtQeaB4MHcQdnB2QHZAdjB1oHRQckBvkGzQakBoQGbQZfBlgGVwZcBmgGegaOBp4GowaYBnwGVAYlBfYFywWlBYQFZwVQBUEFPAVCBVAFYgVyBXsFfAV1BWkFWQVHBTIFGAT6BNYEsASHBF4ENQQOA+kDxwOrA5YDhgN7A3ADZANWA0gDPAM0AzEDLwMqAx4DCQLsAswCrwKZAo0CigKNAo8CjgKFAnMCWQI5AhUB8AHMAagBhQFhATwBEwDpALwAkABkADoAD//i/7L/fP9D/wn+0f6d/nH+Sv4q/g/9+P3n/dv91/3X/dz94v3n/ef94P3T/b/9qf2T/YD9dP1s/Wj9Yf1S/TX9CPzJ/H78LPvb+5D7UPsZ+un6uPqE+kv6DfnQ+Zj5aflE+Sf5Dfjy+NT4sPiJ+F/4NPgK9+H3u/eX93f3Wfc89yD3A/bk9sT2pfaF9mb2R/Yk9f711fWp9X71VPUu9Qv06vTM9LH0mvSH9Hn0b/Rl9Fv0T/RA9DD0HvQJ8/Hz1PO085Dza/NI8ybzBvLq8tLywPKz8q3yq/Kq8qjyo/Ka8pHyh/KA8nnycvJp8l3yT/JD8jnyMvIs8iTyGPII8fXx4vHU8c3xz/HZ8ebx8fH18e3x1/G18YvxYPE68R/xD/EJ8QnxDfER8RbxGfEY8RLxBvD18OPw1PDM8MnwyPDD8LjwqvCe8J7wq/DD8Nzw6vDl8Mvwo/B38FLwO/Aw8C3wLvAv8DHwM/A28DjwOfA38DTwMvA48EXwW/B38JbwtfDU8PTxFfE38VfxdPGL8Z/xsfHE8dbx6PH58gnyGvIt8kLyWPJq8nXyefJ58n7yjfKn8sny5/L68v7y+/L98xXzT/Oq9B30l/UG9V/1oPXP9fT2GPY79l32ePaJ9pH2lvad9qz2xPbj9wX3KfdQ9373tvf3+ED4ifjN+Qr5QPl1+a757fox+nL6p/rK+t/67Pr8+xv7TfuP+9f8GfxL/Gf8b/xr/Gb8afx7/KD81/0e/Wz9vP4G/kX+d/6d/r3+2v76/yH/T/+D/77//QBBAIcAzQEPAUsBfwGrAdMB+wInAlcCjALEAvoDKwNVA3YDjQOeA6oDuAPMA+sEFARCBG4EkQSlBKsEpwSgBJ0EogSwBMME2ATtBQIFGAUxBVAFcwWYBbwF2QXtBfQF8AXjBdEFvwWxBagFowWgBZsFlAWNBYcFhAWDBYEFfAV1BXAFcQWABZwFwgXnBgEGDAYJBgAF+wYDBhsGPgZmBooGpga6BsYGzQbSBtUG2AbaBt4G5gbwBvwHBwcPBxUHGQcbBxsHFwcOBv0G5gbNBrYGpgacBpYGkQaJBoEGfAaCBpUGtgbgBwsHMQdPB2UHdweKB6EHvQfaB/gIEQgmCDYIQwhNCFYIXQhgCF8IVghFCCwIDgfsB8kHpAd7B04HGwblBq4GeQZEBgkFwAVlBPoEigQlA9wDtwO0A8kD4wP2A/gD7APZA8QDsQOdA4UDZQM/AxkC+QLgAs8CvwKsApQCeAJeAkYCMAIXAfUBxwGQAVYBJAEBAOwA5ADgANwA1QDMAMEAtgCrAJsAhwBwAFgARQA8ADwAQwBNAFcAXgBjAGkAcgB9AIkAkwCaAKAApgCwAL0AzgDeAOsA8ADuAOgA3wDZANgA3ADlAO8A+gECAQUBAwD8APIA6QDmAPEBEAFIAZsCBQJ+AvgDZwPAA/8EJAQ3BEAESQRWBGsEhgShBLgEyQTRBNAEygTBBLkEtgS7BMgE3ATzBQoFHgUuBTwFSQVWBWMFbwV6BYIFiQWRBZoFpAWwBbsFwgXGBckFygXMBcwFygXEBbcFpwWXBY4FjQWYBa0FyQXoBgUGIAY0BkAGQAYxBg8F2QWQBTsE4gSQBFAEKQQeBC8EVASHBL8E9QUmBVAFdgWXBbMFyAXRBcoFrgV9BTcE4wSJBDAD4AOfA24DTgM5Ay0DJgMiAyADIwMpAzQDQANMA1UDWANYA1QDTwNIA0ADNAMkAw8C9QLZAr0CowKMAngCZAJPAjcCGgH3AdIBqgGDAV4BPgEgAQQA5gDHAKUAhABmAE0AOwAqABX/9//P/6P/f/9v/37/rv/1AEIAgQClAKgAkgBvAE8AOgAwACwAKgAnACYALQBDAGUAigCjAKEAfAA3/97/g/80/vn+0/66/qb+j/51/lf+PP4l/hT+B/36/ev91f24/ZT9av0+/RP87/zS/L38rfyb/IL8Xvwu+/f7vfuH+1j7MPsP+u/60fqz+pb6ffpn+lX6Rfoz+hv5/fnW+ab5b/k1+P74zvio+I74fPhs+Ff4OfgS9+f3v/eg94z3gfd59233Wfc79xX26va/9pb2cPZN9i32EfX49d71wfWd9XD1PfUL9N/0vfSn9Jn0jvSC9Hb0bPRn9Gv0dvSC9In0hvR49GH0RPQl9Afz6PPI86nzjfN282fzXfNW80vzO/Mj8wby5vLG8qbyhvJk8j7yFvHu8cbxofF+8V3xPPEc8P7w3/DA8J3wd/BO8CbwAu/l787vuu+j74XvX+8z7wXu2+637pnufu5l7kzuNO4d7gvt/e3x7ebt2u3L7bvtqu2a7Yntd+1l7VPtQe0y7SftIO0c7RrtGO0X7RjtGu0g7SftLu0z7TXtNe007TbtO+1E7VDtXO1n7W/tde167YPtku2r7c/t/u407mvune7F7t/u6u7q7uju6u727w/vNO9f74zvtO/Y7/nwGvBA8G7wovDb8RXxSvF58aTxzPH08h7yTPJ88q3y3vMO8z3za/OY88bz9vQn9Ff0hvSy9Nn0+fUU9S31R/Vn9ZH1x/YK9lb2rPcI92v30fg5+J74/PlQ+Zn52voZ+lr6o/rx+z/7hfu7+9377fvw+/D79fwD/Bv8O/xd/IT8svzu/UL9s/5B/ub/lQA/ANcBUwGyAfcCKQJRAnUCmwLFAvYDLQNpA6oD7gQyBHYEuQT6BToFegW7BfwGPwaCBsUHCAdLB4sHywgKCEsIkAjaCSYJdAnBCgoKUAqUCtkLIAtoC68L8QwsDGIMkwzHDP8NPg2FDc8OGg5jDqkO6Q8mD14Pkw/ID/4QNxByEK0Q5hEYEUURbRGUEbwR6RIXEkcSdRKiEs0S+xMrE14TkhPFE/YUJxRZFJAUzBUKFUcVfhWvFdwWCRY6FnEWrBbmFxwXShdvF48XqxfFF90X8hgCGAwYERgTGBMYEhgSGBMYFRgWGBYYExgMGAIX9hfrF+MX4RflF+sX8RfzF+8X5xffF9kX2BfbF98X4RfgF9wX1xfVF9YX2RfdF+AX4hfkF+kX8xgDGBcYLBg9GEgYShhEGDgYKRgZGAkX+RfnF9EXuRehF40XhReMF6IXwBfcF+sX5RfMF6cXhRdyF3QXiBehF64Xoxd5FzYW4xaMFjwV+RXDFZsVgBVxFW4VdhWEFZUVphW4FcsV4hX/FiIWRhZnFoQWmhapFrEWshaoFpMWdBZMFiEV+BXXFb0VpxWTFX0VZhVPFTkVJRURFPgU1BSlFGwULBPtE7ITfhNREykTBRLiEsASoBKCElASOBIiEg0R+xHsEd8R0hHDEbARlxF5EVgRNxEYEPwQ4xDNELoQpxCWEIYQdxBoEFgQSBA4ECcQGBALEAAP9g/sD+AP0Q+/D6kPkA91D1cPNw8XDvcO2g7ADqoOmg6PDokOhQ5/DnEOWA4vDfgNuA13DT4NEgzzDN0MyAysDIMMTgwQC9ELlAtcCyoK+QrJCpcKZgo3CgsJ4wm+CZ0JfwlmCVUJSwlKCU8JVAlVCU4JPQknCQ0I9gjiCNIIxAi0CKIIjQh6CGkIXQhVCE8IRgg6CCoIFQf/B+gH0Qe6B6UHkweHB4AHfQd5B24HWAc1BwsG3ga2BpgGhgZ8BnkGewaABooGmAamBrIGtAaoBo8GaQY9BhEF5wXDBaUFjQV9BXcFewWIBZwFsQXBBccFwgW0BZ0FggViBUAFGgTzBMoEoQR5BFQEMgQQA/ED0wO3A6ADjQN9A3ADYwNWA0gDOwMtAx8DDgL4At4CwAKhAocCdAJrAmsCcAJ2AngCcwJnAlQCOwIdAfwB2QG1AZEBbgFJASIA+QDNAKAAdABJAB//9v/J/5j/YP8j/uP+pv5v/kD+Gv38/eT90f3B/bb9rv2r/a39sv25/b39vP21/ab9kf16/WX9Vv1O/Uv9Sf0//Sn9APzF/Hr8JvvR+4L7PfsC+s76m/pl+in56fmq+XH5Q/kh+Qj48/jb+L34mPht+EH4Fffs98f3pPeE92X3SPcs9xL29/bc9r/2ofaC9mP2Q/Yh9f311fWs9YH1V/Uu9QX03vS49Jb0ePRi9FP0S/RF9D/0NvQp9Bf0AfPn88nzp/OE82LzQfMk8wny8fLb8sjyuPKs8qbypPKh8pzyk/KH8nrycPJq8mfyZPJd8lPyR/I88jTyL/Is8ibyGvII8fHx3fHP8czx1PHl8fnyCvIS8gzx9vHR8aHxbfE+8RnxAvD58PvxA/EP8RnxHvEd8RPxAvDu8Nzw0fDN8M7wzfDE8LHwlvB/8HTwfPCW8Ljw1fDk8N7wxvCl8ILwZPBN8D3wMfAq8CbwJPAk8CPwIfAc8BnwG/Aj8DLwRvBd8HXwj/Ct8NDw9fEa8TrxU/Fn8Xjxi/Gi8brx0fHm8fnyDvIo8kbyZfJ+8ozyjvKL8o7ynvK88uLzA/MV8xbzDvMQ8y7zcPPX9FL0z/U89Y31wvXg9fL1/vYI9g/2FPYZ9iD2LPZC9l/2gvam9sr27vcV90T3ffe/+Af4T/iU+NT5EflR+ZX53fon+mr6o/rN+u37Cfsr+1r7mfvi/Cv8a/yY/LD8tvyy/K38r/y+/Nv9B/0//YD9x/4R/lf+mP7Q/v//Jv9I/2n/jv+4/+gAHgBZAJYA0wENAUQBdgGlAdMCAgI0AmkCoALYAwwDOwNiA4EDlQOiA6sDtQPHA+YEEQRDBHYEoQS9BMkEzATKBMwE1QTlBPgFCgUbBSsFPAVSBW4FjwWzBdMF7AX5BfoF7wXcBcgFtgWrBacFpgWlBaAFlgWJBX8FeQV4BXsFfQV8BXsFfgWKBaMFxQXqBgoGHgYnBigGKQYxBkIGWgZ2BpEGqQa8Bs0G2gbkBusG7gbvBvMG+gcGBxQHIwcwBzsHRAdKB00HSwdABywHEwb5BuMG1QbOBscGvQavBp4GkwaVBqoGzwcABzEHWwd7B5IHpge5B9AH6ggECB4INAhJCF0IcQiECJYIogimCKAIjwh0CFEIKgf/B9AHmwddBxkG0AaMBlIGKAYHBeQFsAVhBPUEeQQCA6YDdANuA4UDpgO/A8YDvwOxA6YDoAOcA5EDegNYAzEDDALvAtwCzAK6AqECgwJjAkMCIwIAAdYBogFpATIBCADwAOgA6wDuAOoA2wDDAKkAkAB8AGsAXQBPAEIAOAA0ADYAPABDAEkATgBRAFcAXwBrAHgAhgCRAJoAogCqALUAwwDTAOEA7QD0APYA9ADwAO0A7ADvAPMA+AD9AQABAQEAAPwA9wDyAPEA+AEPATsBfwHXAjkCmQLsAyoDVANzA48DswPjBBwEVwSNBLUEzgTYBNgE0gTLBMYExATGBM4E2wTsBQAFFAUpBTwFTgVfBW4FewWFBYsFjwWTBZgFnwWnBa4FtAW3BbkFuQW6BbkFtQWuBaQFmgWWBZwFrwXNBfQGHQZABlsGaAZnBlgGOgYOBdQFjQU+BOwEngRbBCoEEAQPBCcEVASPBNEFEgVKBXUFjgWWBYoFbQVABQMEuQRlBA0DtwNpAykC/QLmAuIC7gMDAxsDMgNEA1IDWwNhA2YDagNuA3ADcANvA20DaQNiA1cDSAMzAxkC/ALcAr0CnwKFAm0CVwJAAiYCCQHoAcMBnQF3AVMBMgETAPMA0wCvAIsAZgBFACkAFQAE//L/2f+2/4r/Xf88/zT/S/+B/8kAEgBLAGkAagBWADkAHQAJ//v/8P/m/97/3//vAA0ANABYAGcAVwAl/9f/ff8l/tr+ov55/ln+Pv4j/gv99v3n/dz90/3I/bf9of2E/WT9Qv0f/P383Py+/KP8jPx3/GD8Qvwc++z7tvt9+0n7HPr3+tn6vvql+ov6cvpa+kX6Mfoe+gf56vnF+Zj5Zvkz+QT43Pi9+Kf4lfiD+G34T/gs+AX34ffE96/3ofeU94P3a/dK9yP2+vbS9q/2kfZ29lz2QfYk9gP12/Wt9Xv1R/UW9Oz0zPS29KX0mPSL9H/0d/R29Hz0h/ST9Jr0mfSO9Hz0ZfRL9C/0EfPx89HztvOh85XzjvOJ837zbPNR8zDzDPLn8sPynvJ48lHyK/IH8efxyvGw8ZbxevFd8T3xHPD68NTwrPCC8FrwN/Ab8ATv8e/b78Dvne9371DvLO8O7vPu2u7A7qTuh+5s7lXuQu4z7ibuGO4I7fXt4O3H7a3tke117VvtRu047THtMe007TbtN+017TPtMe0x7TPtNu037TbtMu0v7TDtNu1E7VXtaO137YDtg+2E7YftkO2l7cXt7+4i7lfuiu617tXu6u717vvvBO8T7yzvUO9576Lvx+/m8ADwGvA58GLwlfDP8QvxRfF48aTxy/Hx8hfyQfJu8p/y0vME8zXzZPOR873z6vQY9Ej0evSs9Nn1APUf9Tj1T/Vp9Yr1t/Xv9jL2f/bV9zX3nfgK+Hj43/k6+Yf5yPoC+jz6ffrE+wz7UfuI+7D7x/vS+9j73/vq+/r8Dvwk/D38XvyN/NH9MP2s/kP+7v+gAE8A7wF3AeMCMwJqAo4CpwK9AtYC+QMnA2IDpgPvBDoEhATLBRAFUwWWBdgGGwZdBp8G4QciB2IHowfmCCwIdQjDCRIJYAmsCfQKOAp8CsELCAtQC5YL1gwQDEUMeQyyDPMNOw2HDdQOHg5jDqMO3w8ZD1IPiQ/BD/oQNRBwEKoQ4RESET0RYxGJEbIR4RIUEksSgBKzEuMTEhNBE3ITpBPWFAcUOhRuFKcU4hUfFVkVjhW/Fe0WHhZSFosWxhb/FzEXXBd/F5sXtBfKF94X7Rf4F/4YABf/F/4X/Bf6F/oX+hf5F/cX8xfsF+IX2BfRF9AX1BfeF+gX8BfxF+0X5hfgF9wX3BfeF94X2xfVF9AXzRfQF9gX4xfsF/QX+hgCGBAYJhhAGFsYbxh5GHQYZRhOGDUYHhgKF/oX7BffF9EXxRe6F7UXuhfKF+QYAhgbGCYYHhgEF+EXwRevF64Xtxe9F7EXiRdGFvAWlxZIFgwV4RXCFaYVihVvFVsVUxVaFXEVlBW8FeYWDRYuFkoWYBZyFoIWkBafFq0WtBayFqEWgxZaFi4WBRXjFcYVrhWWFX0VZBVNFTkVJxUSFPMUyRSRFFIUEBPUE6ATdBNMEyYS/xLWEq8SixJrEj0SIRIFEesR1BHCEbQRqhGeEY8RexFiEUYRKhEPEPYQ3hDGELAQmxCJEHoQcBBoEGAQVRBIEDgQJxAWEAgP/A/yD+gP3Q/RD8EPrA+TD3QPUA8pDwEO2w64DpoOgw5zDmkOZQ5jDl4OUA40DggNzw2QDVQNIw0ADOcM0Qy4DJUMZwwwC/ULuwuFC1ALHAroCrMKfwpPCiQJ/gnbCbwJoQmMCX4Jegl9CYUJjAmNCYQJcglZCT4JJAkPCP8I8AjgCMwItQicCIQIcAhhCFYITQhFCDsILggfCA4H+QfhB8kHsQeeB5EHiQeCB3gHZAdHByAG9wbTBrgGpwahBqEGpQaqBrAGuAa/BsQGwwa4BqIGhAZfBjkGFQX1BdwFzAXEBcUFzwXeBe4F+QX7BfAF2wW8BZcFcQVKBSQE/wTaBLUEkgRxBFIENAQWA/gD2QO8A6ADiAN1A2YDWwNRA0cDOQMoAxEC9QLWArYCmQKDAnUCcAJxAnQCdgJxAmYCVQJAAicCDQHxAdQBtQGUAXIBTwErAQQA2gCuAIEAVQAsAAX/3/+1/4b/UP8U/tX+lv5d/iv+A/3j/cr9t/2o/Zv9kf2J/YX9hf2J/Y79kv2P/YT9cf1Z/UP9Mv0q/Sn9K/0n/RX88Py3/G38GPvC+3H7KPrq+rL6fPpE+gj5yfmL+VX5KvkL+PT44PjI+Kj4gPhS+CP3+PfT97L3lfd59133QPck9wn27vbS9rb2l/Z49lj2OPYX9fX10vWr9YP1WPUs9P/00fSl9H30W/RC9DH0KPQi9Bz0FPQG8/Pz2vO885vzePNW8zbzG/MG8vTy5PLT8sLysvKl8p3ymfKV8pDyhvJ58mvyX/JY8lTyUPJJ8j7yMPIk8hzyG/Ib8hnyEfIB8e3x2vHP8c7x2PHq8f7yEPIb8hvyDfHx8cnxmfFp8T7xHvEL8QXxB/EO8RXxGfEX8Q/xA/D38PDw8fD58QLxBfD88OPwwPCc8ITwfvCK8KPwvfDN8NDwxfCx8JrwgvBr8FXwQfAw8CHwFvAN8AbwAe//8AHwCfAW8CXwNPBC8FDwY/B/8KPwy/Dw8Q7xI/E08UbxX/F+8Z/xvfHV8eryAPIe8kLyaPKH8pjynfKe8qfyvvLj8wrzJ/Mw8ynzH/Mm807znfQI9H306PU79XL1kPWg9an1rfWu9az1q/Wv9b713PYG9jf2aPaW9r325PcN9z73d/e19/T4L/hn+J741/kX+WD5sfoF+lb6ofri+xv7T/uD+7j78Pwp/F78ifyo/Lv8xPzJ/ND82/zt/Qf9KP1Q/YL9vv4C/kz+lv7b/xf/SP9w/5T/t//dAAgANwBqAJ4A0gEIAT0BdAGrAeICGAJPAoYCvQL0AyoDXQOLA68DyQPaA+MD7AP7BBQEOQRmBJUEvgTbBOsE8gT3BP4FCgUbBS4FPgVLBVYFYwVzBYkFowW/BdkF6wX1BfUF7AXdBc0FvwW1BbAFrgWqBaEFlQWHBXwFeQV+BYgFkwWZBZsFnAWiBbAFyAXnBgcGJAY6BkwGXQZuBoAGkgaiBrAGuwbGBtMG4QbuBvkHAgcJBxAHGwcoBzcHRQdRB1oHYgdoB2wHawdjB1IHOwclBxMHBwcABvgG7AbaBsYGuga8BtAG9gcmB1YHgQeiB7sH0QfmB/0IFggvCEoIaAiICKsIzgjqCPwI/gjvCNIIrQiECFwINwgRB+YHrQdkBwwGrAZPBgEFxwWdBXYFPgTrBHsD/gOMAz0DIQMyA18DjgOpA6oDlgN+A3ADcQN7A4QDfgNlAzwDDgLlAscCswKlApcChAJsAk4CKAH5AcEBgwFGARUA9wDwAPgBBQELAQEA5AC8AJEAbABRAEIAOwA3ADUAMgAvACwAKQAmACMAIAAfACEAKQA2AEkAXwB1AIoAmgClAKwAsgC5AMUA1QDoAPoBCAEQAREBDwELAQgBBwEJAQ0BEQEUARUBFAEQAQsBCQEOASABPwFsAaAB1QIEAiwCTwJ2AqgC6QM4A40D3gQhBFIEcwSIBJgEqAS4BMcE0wTbBN8E5ATsBPgFCQUdBTIFRwVbBW0FfAWJBZMFmwWiBagFrQWzBbcFugW8Bb0FvgW/Bb8FvgW9Bb4FxAXSBesGDgY1BlkGdAaBBn0GagZMBiUF9wXEBYwFUQUVBNwEqAR+BGMEWARiBH8ErgToBSYFXQWDBZAFfwVQBQcEqwRGA+ADgAMsAukCtwKZAo0CkAKiAr0C3wMCAyIDPgNTA2EDaQNtA24DbgNuA24DbQNsA2kDYwNaA0wDOgMjAwkC6wLMAq4CkQJ4AmICTQI3Ah4B/wHcAbQBjQFmAUIBIQECAOMAxACiAH8AWwA4ABn//v/p/9X/vf+d/3D/O/8H/uL+2v73/zb/iP/bABoAOQA5ACIAAv/j/8z/uv+r/5v/jf+H/43/of+8/9T/3P/J/5z/Wf8N/sL+f/5H/hn98v3T/br9qf2g/Z39mf2R/YL9a/1P/TL9F/z+/OX8y/yv/JH8c/xY/D78IvwD+9v7q/t2+0D7EPro+sj6r/qY+oH6aPpP+jf6IPoJ+fD50fmt+YT5Wfkv+Qr46/jS+L74q/iW+H/4ZPhH+Cn4Dvf29+L30fe+96f3ifdm9z73Fvby9tP2ufah9of2aPZE9hn16fW39YX1VvUr9Qf06vTT9L/0r/Sh9JX0jfSK9Iz0k/Sa9J/0n/SZ9I70fvRp9FH0NfQX8/nz3/PL877ztfOs85/zjPNz81XzNPMR8u3yx/Kh8nzyXPJB8izyGfIF8evxyvGk8XzxVPEu8Qnw5fDA8J3we/Bd8EPwK/AR7/Xv1u+175Xvee9f70fvL+8U7vbu1+667p/uiO517mPuUe497ibuDO3t7cvtp+2E7WftU+1I7UjtTu1W7VztXe1a7VPtTe1K7UntSe1J7UbtQe087TrtQO1N7WDtdu2I7ZPtmO2Y7Zntn+2w7cvt8e4e7k/ufu6o7sru4u7x7vvvBO8S7yjvSO9u75bvve/e7/vwGPA58GLwk/DL8QXxPfFv8Z3xxvHu8hfyQfJu8pzyzfL+8y/zYPOP873z6vQX9Eb0ePSq9Nz1CPUt9Ur1YfV49ZP1t/Xm9iD2Zva39xP3evfo+Ff4wfkf+W75r/no+h/6Wvqa+tv7GvtR+337nvu4+8z73fvt+/v8CPwV/Cb8Pvxi/Jn85f1L/cr+Yf8L/74AcQEXAaUCEwJgAowCoAKnAq0CvQLdAxADUwOhA/MERQSTBN4FJwVvBbYF/AZBBoQGxAcCBz8HfwfBCAkIVQilCPYJRgmSCdgKHApeCqIK6AswC3YLuAv1DC8MaQyoDO4NOg2HDdEOFg5WDpIOzQ8JD0YPgw+9D/YQLRBjEJoQzxECETERXBGHEbQR5hIbElMSixK/EvATHxNOE34TrxPhFBUUShSBFLoU9BUtFWQVlxXKFfwWMxZsFqgW4xcaF0oXcheTF68XxRfXF+MX6xfuF+8X8BfwF/AX7xftF+gX4hfcF9cX0RfLF8UXvxe9F78XxhfPF9kX4RfjF+MX4BfeF94X3hfcF9cXzxfGF8MXxxfTF+UX9xgHGBMYHhguGEUYZBiGGKEYrRimGIsYZBg6GBUX+RfoF98X2hfXF9UX0hfRF9MX2hfpF/0YFRgqGDcYNxgrGBcYAxfzF+kX3xfLF6QXZxcZFsYWexZDFh8WCBX0FdkVthWQFXEVYRVnFYAVpxXUFf8WJBZCFlkWahZ5FocWlRalFrMWuxa4FqcWhxZeFjIWCRXnFcwVtRWfFYcVbxVYFUIVKxUQFOwUvRSEFEYUCRPRE6ATdRNMEyMS+BLMEqMSfRJcEjwSFxHyEc0RrRGUEYIRdRFoEVoRSRE0ER8RChD3EOMQzhC3EJ8QiBB1EGcQXxBaEFYQThBDEDQQIxAUEAgP/g/3D/AP6A/eD9APvQ+kD4QPXg80DwgO3g62DpMOdQ5dDkwOQQ47DjcOMA4fDgAN0w2cDWMNMA0IDOkM0Ay2DJUMbQw/DA4L3AurC3gLQwsMCtQKngptCkIKHgn/CeMJyQm0CaQJnAmZCZoJnAmZCZEJgQltCVUJPgkoCRUJAwjxCN4IyAixCJoIhwh5CG8IaQhkCF8IVghKCDkIIggGB+gHygexB54HkQeJB4AHcQdaBzsHGAb3Bt0GzQbFBsMGxQbIBssGzgbPBs4GyQa9BqsGkwZ3BlkGPAYjBhAGBAX/BgIGCQYRBhQGDgX9BeEFvQWTBWgFPwUaBPkE2wS+BKIEhARnBEgEKgQLA+wDzAOsA44DcwNcA0sDPwM2Ay4DIwMTAv0C4QLDAqgCkgKFAoECggKFAoQCfAJrAlMCOAIbAf0B4QHEAaYBhwFnAUcBJgEFAOAAuACNAGEANgAO/+n/x/+i/3n/Sf8T/tr+n/5n/jP+Bf3e/b/9p/2T/YP9df1p/WD9W/1b/V/9Y/1i/Vj9Rv0u/Rf9B/0C/Qb9DP0M/Pz81/yd/FP8APus+1z7E/rR+pX6W/oi+ej5rvl4+Un5I/kG+O741fi3+JH4Y/gz+AT33Pe896L3ivdy91b3N/cX9vj22va99p/2gfZi9kP2JPYF9eb1xfWh9Xr1UPUk9Pb0yfSe9HX0UvQ19B70DfP/8/Pz5fPV88HzqvOP83DzT/Mu8xHy+fLo8tzy0fLE8rPyofKQ8oTyffJ58nXybvJl8lryUfJM8knyRvI/8jLyI/IU8gryBvIF8gPx/fHx8ePx1vHP8dDx2PHj8fDx/PIH8g7yDvIF8fHx0fGr8YLxXvFC8TDxJfEh8R/xHfEa8RbxEPEN8Q/xGPEl8TPxO/E28SLxAvDg8MLwsPCr8K3wsfCx8KrwofCW8I7wiPCA8HbwZvBT8D7wKfAW8Abv+u/17/jwAvAQ8B7wKPAv8DfwRvBf8ILwp/DI8ODw8fEC8RrxPvFp8ZPxtvHO8eDx9fIT8jvyZfKH8pzyp/Kx8sby6fMU8zrzTfNI8zbzKvM5823zwvQl9ID0wfTm9Pb1APUQ9Sn1RvVi9Xf1ivWg9cH17/Yo9mL2mPbG9u73F/dH93/3u/f3+Cz4WPh++KT40fkK+VD5oPn3+lH6qfr9+0r7jfvG+/T8Gfw3/E/8ZPx3/In8m/yw/Mf84vz//R39Pv1h/Yv9vv37/kH+iv7R/xD/RP9v/5f/v//qABkASQB6AKoA2gENAUMBfAG2Ae4CIwJVAoYCuwL1AzQDdQO0A+sEFwQ2BEwEWwRqBHwElQS0BNME7wUDBRAFFwUdBSYFMwVEBVcFaAV1BYAFigWWBaMFsQXABc4F2QXhBeUF5AXfBdcFzgXFBb4FtwWuBaMFlgWKBYMFhQWPBaEFswXABccFyAXJBc0F2AXrBgMGHgY7BlkGeAaYBrQGygbYBt8G4QbiBuYG7gb4BwQHEAcbBygHNwdGB1QHXgdlB2oHbQdwB3QHdQdyB2kHWgdLBz8HNgcwBygHGwcKBvkG7gbxBwQHJgdSB4AHqQfMB+gH/QgQCCIINghQCHMIoQjYCRAJQQleCWEJRwkVCNcImghnCEUIMQggCAgH3AeTBy0GsgYwBbMFRgTmBI0ELgPDA08C4gKUAnkCmALmA0cDmwPKA8wDqgN6A1IDPwNBA0wDUQNGAyoDAwLZArUCmgKIAnoCbAJaAj8CGQHmAakBaQEvAQYA9AD2AQUBEwEVAQUA5AC5AI8AawBRAEAANAAoABsADP/8/+3/3//V/87/y//M/8//1//l//kAFQA4AF0AfgCYAKgArwCyALcAxADZAPMBDAEfASgBKAEjARwBGQEbASEBKQExATcBOgE7ATwBPwFGAVEBYAFwAX8BiwGVAaEBtQHZAg8CVwKpAvoDQQN5A6MDxwPsBBkETgSGBLkE3wT2BQAFAQUCBQYFEQUiBTQFRwVZBWkFeQWHBZUFoQWtBbYFvwXGBc0F1QXcBeQF6wXyBfcF/AYCBgwGHgY5BlwGgAadBqwGpwaNBmIGLwX6BckFngV4BVcFOAUbBQIE7QTgBNwE4gTzBQ4FMQVVBXMFggV4BVAFCgSrBDwDxgNXAvcCrQJ8AmQCYQJvAogCpgLHAuYDAwMcAzEDQgNOA1cDXANfA18DXgNcA1kDVANMA0IDNgMnAxYDBALvAtcCuwKcAn4CYwJNAjwCLwIhAg0B8QHMAaIBdQFKASMBAADgAMMApwCLAHAAUwA1ABb/+P/c/8L/p/+F/1j/HP7Y/pr+dP53/qf++/9g/7z/+QAOAAH/4P+9/6H/jv9//23/VP82/xz/Dv8P/xv/J/8o/xf+8f67/n7+QP4H/db9q/2J/W/9Xv1W/VT9U/1O/UH9Lv0W/P/86/zc/M38u/yj/IX8Yvw//B78APvi+8D7mftr+zv7Dfrl+sT6qvqS+nv6Y/pL+jP6G/oC+ef5xvmh+Xn5U/kx+RT4/fjo+NT4vfil+Iz4dfhg+E34PPgr+Br4Bfft98/3rPeF91z3NvcT9vX22/bB9qP2fvZT9iP18fXC9Zf1cfVO9S/1EvT39N/0y/S89LD0qfSk9KL0o/Sk9KT0o/Sf9Jb0ifR49GP0S/Qz9Bv0BvP08+Tz1PPD87HznfOI83HzWfM98xzy+fLU8rTym/KL8oDydfJi8kTyGvHp8bfxifFi8UDxIvEE8OTwwvCf8HzwWvA58Bjv+u/e78Tvru+Z74PvbO9R7zPvFe727tnuvu6m7o/uee5i7kjuK+4I7eLtu+2Y7X7tbu1q7W7tdu1+7YLtgO167XLtau1l7WTtZe1m7WXtYe1c7VrtXO1n7Xjtje2h7bHtu+3A7cTty+3Z7fDuD+4z7lruf+6h7rvuze7X7tzu3+7n7vfvEe80713viO+z793wCPA18GbwmfDO8QLxM/Fi8ZDxvvHt8hzyS/J48qPyzfL58yjzWvOO88Lz9fQl9FT0hfS29On1GvVF9Wj1hPWc9bT10fX49ir2afa19w73c/ff+E34tvkS+WH5oPnX+gr6Pvp1+q765/sc+0z7d/ue+8H73/v4/Az8HPwq/Dv8U/x0/KH83P0q/Yz+Bv6W/zr/6ACUATEBswITAlACbQJ3AnoCgwKeAs4DEgNkA7sEEgRkBLIE/AVFBY4F1gYdBmEGoQbfBx0HXQeiB+sIOgiNCOIJNAmCCckKDApMCowK0AsWC10LogvkDCUMZgyqDPMNPg2IDc4ODw5LDoYOww8ED0UPhA+/D/MQJBBTEIUQuRDwESYRWhGMEb4R8BIkElkSjRLBEvITIhNSE4ITtBPoFB4UVxSRFMsVBBU7FXAVoxXXFg4WSBaFFsEW+RcrF1YXeheYF7IXxRfSF9gX2RfYF9gX2hfgF+UX5xfkF9wX0hfHF78XuRe1F7MXsRexF7MXuBe+F8UXyxfPF9IX1BfWF9gX2BfVF88XxxfCF8UX0BfkF/wYEhgjGC8YOhhLGGQYhRikGLcYtRibGG0YNhgDF94XyxfJF9EX3RfnF+0X7hfsF+oX6hftF/cYBhgYGCoYNhg5GDIYIxgPF/YX2BewF30XPhb5FrgWghZdFkQWMBYZFfoV1BWvFZQVixWVFawVyhXoFgMWGhYxFkoWYxZ8FpIWpBaxFrcWtharFpYWdhZQFigWAxXkFc0VuhWoFZUVgBVpFVIVORUdFPoUzxScFGQUKxPyE7wThxNUEyIS8xLIEqESfxJdEkMSGBHpEbwRlRF1EVwRSBE2ESQRERD+EO0Q3hDQEMEQsBCbEIUQcBBfEFQQThBKEEUQPhAzECUQGRAPEAoQBxAFEAEP+Q/vD+APzg+2D5gPdA9KDx4O8g7JDqIOfw5fDkMOKw4ZDg0OAw32DeENwg2ZDWwNQQ0aDPoM3Ay+DJwMdwxODCQL+wvQC6ILbws3Cv0KxgqVCmwKSgotChEJ+AngCcsJuQmsCaIJmwmUCYsJgQl0CWMJUAk7CSYJEgj/CO0I3AjMCLwIrwikCJwIlgiQCIkIfQhtCFkIQAgjCAUH5wfMB7cHpgeZB44HfwdsB1QHOQcdBwUG8QbjBtsG1gbUBtMG0QbOBskGwAazBqMGkQZ8BmYGUAY8BisGHwYYBhQGEwYPBgUF9AXaBbkFkQVoBT8FGQT4BNsEwgSrBJIEdgRXBDUEEwPxA9ADsAORA3MDVgM8AyUDFAMIAv8C9wLtAt8CzAK4AqQClQKLAoYChAKAAngCagJUAjoCHQH/AeEBwQGfAXwBWAE2ARcA+QDcAL0AmABwAEUAG//1/9P/tP+U/3D/Rv8Y/ub+sf58/kf+Ff3m/b39m/1//Wn9Vv1F/Tf9LP0n/Sf9J/0j/Rj9BPzt/Nn8z/zS/N786/zs/Nr8sfxz/Cj72PuJ+z76+fq3+nf6Ovn/+cj5lvlr+UX5JvkJ+Oz4y/ij+HP4QPgN9+D3vPeh94v3d/df90L3Ifb+9tz2vfag9oX2aPZL9i32D/Xx9dP1tPWS9W31RfUb9PL0yvSj9H30WPQ29BXz9/Pc88TzsPOd84zze/Nm807zMfMS8vXy3vLN8sPyu/Kx8qLyjvJ58mfyW/JT8lDyTPJH8kPyQfJD8kfySfJH8j3yLfIb8grx/fH08e3x5fHd8dbx0vHS8dXx2vHd8eDx5PHt8fnyB/IR8hLyBvHu8c7xrPGM8XLxXvFP8UTxPPE38THxLPEn8SPxI/En8S7xNfE38TLxJfET8QLw8/Dk8NTwwPCn8I7wevBx8HTwgPCO8JnwnPCV8IfwcvBZ8D/wJ/AW8A3wDPAS8BnwH/Al8C7wP/BZ8HnwmPCv8L/wzfDh8QLxMPFk8ZPxtfHK8drx7/IR8j3yafKN8qPysvLE8uXzE/ND82TzavNY8z3zM/NK84fz2PQl9Ff0ZvRc9FD0V/R+9MH1EPVa9Zb1xfXv9hz2T/aF9rj24fcE9yX3T/eG98j4DvhM+H74ofi9+Nn4//kw+W75tvoD+lX6qvr9+0v7j/vD++j7/vwL/Bb8I/w2/E38avyL/K/81/0A/Sr9U/17/aX90/4J/kb+h/7G/wD/Mv9e/4r/uv/uACYAXgCRAMAA7QEcAU4BgwG3AeYCEAI2Al4CjQLJAw8DXAOpA/EEMARiBIoEqQTBBNYE6QT6BQsFGAUjBSoFLgUzBTsFSAVZBW0FgAWSBaAFqwWzBbkFvQXABcIFxwXOBdYF3QXiBeEF3AXUBcsFwgW6BbEFqAWfBZoFmwWkBbMFxgXXBeQF7AXvBfIF9QX7BgUGFAYpBkYGaQaQBrYG1gbtBvgG/Ab9Bv0HAAcGBw4HFwchBy0HOwdKB1cHYQdmB2kHagdtB3EHdQd3B3YHcQdrB2YHYgddB1cHTAc/BzAHJwcnBzUHUQd4B6QH0Af2CBMIJggzCDwITAhoCJcI1gkgCWUJlgmlCY0JUgkBCK0IZwg7CCkIKggvCCkICAfBB1IGvQYPBVMElQPgAzcCnQIUAaMBWAFCAWoBzgJeAv4DjQPvBBcECgPaA5wDZAM8AyYDGwMTAwcC9QLbArwCmwJ6AlwCQQImAggB4wG0AX8BSwEfAQUA/AEAAQkBCwECAO0A0ACyAJYAfQBjAEUAIv/6/9L/r/+T/4D/dv90/3j/gP+J/5H/l/+c/6b/uf/ZAAUANwBoAI8AqAC1ALsAwgDOAOIA+gEQASABKQErASoBKwEwATkBRQFSAVwBZAFrAXMBfwGPAaIBtQHDAckBxgG/AboBvwHVAf0CMgJrAp8CyQLpAwUDKANbA6AD9ARMBJwE2gUCBRYFHQUgBSQFLgU8BUsFWQVmBXIFfQWJBZUFoQWsBbUFvgXIBdYF6AX+BhYGLwZFBlYGYgZsBncGhwacBrUGyQbRBsUGoQZrBioF6QWxBYcFagVYBUsFQgU8BToFPAVEBVAFXgVtBXgFfAV1BV4FMwT0BKIEQwPfA38DKwLqAr4CpwKjAq4CwwLdAvgDEAMkAzMDPgNFA0oDTgNQA1EDUQNPA0sDRwNAAzcDKwMbAwkC9gLjAtICwwKzAp8ChQJmAkQCJAIMAfwB8gHqAd0BxwGmAX4BUgEnAQAA3AC7AJwAgABnAFEAPAAlAAr/6//K/6r/jP9q/z//BP67/m/+M/4b/jL+eP7b/0H/kf+8/8H/q/+N/3P/Y/9Y/0f/Kv8B/tL+qP6M/oD+fv59/nT+Xf45/g393v2x/Yn9Zv1J/TD9Hv0S/Qz9B/0C/Pn86/za/Mv8v/y3/K/8pPyR/Hb8VPwt/Af75PvD+6P7gvtd+zf7EPrs+sv6rvqS+nn6YPpJ+jP6HfoF+ej5x/mi+X35Wvk9+Sf5FPkB+Ov40fi1+Jr4g/hy+Gb4XPhQ+D/4KfgN9+z3xvef93f3UPct9w728fbT9rH2ifZc9iz1//XX9bb1mvV+9WH1QfUh9QP07PTc9NH0y/TG9MH0u/S29LL0rPSl9Jv0jPR69Gb0U/RB9DL0JPQU9ALz7fPW88Dzq/Oa84vzefNk80fzJ/MF8uny1fLK8sLyt/Ki8oDyUvIe8erxvfGY8XnxXPE+8Rzw9fDL8KDwdvBP8CvwDe/z797vy++476Lviu9v71PvNe8Y7vvu3+7F7q3ul+6B7mjuSu4m7f/t2e257aPtmO2X7Zztoe2j7aHtmu2R7Yftf+177XrtfO1/7YLthO2G7YjtjO2W7abtuu3P7ePt8u387gXuDe4Z7iruQO5Z7nTujO6g7q7utO607rHur+6y7r3u0+7y7xrvSO9777Hv6/An8GPwnfDT8QPxMPFc8YrxvPHx8ijyW/KJ8rLy1/L98ynzW/OT8830BvQ79Gz0nPTO9QH1NfVn9ZL1tfXR9en2A/Yj9k72hvbL9x/3gPfo+FT4u/kW+WL5n/nP+fn6JPpR+oP6uPrs+x/7UPt++6j7zvvv/Ar8Ivw5/FH8bPyM/LP84/0f/Wv9zP5B/sr/YP/7AJABFAGAAdECBgInAj8CWAJ+ArYDAQNYA7QEDQReBKcE6gUrBWsFrAXtBi4GbgavBvEHOAeCB9IIJQh9CNQJKwl9CcgKDQpMCooKyQsLC1ELlwvdDCMMaQyxDPoNRQ2NDdEOEA5LDocOxQ8HD0kPiQ/CD/QQIRBNEHwQrxDnESERWRGPEcER8xIkElYSiRK8EvETJBNYE4sTvhPyFCgUYRSdFNkVFBVLFYAVsxXoFh8WWRaUFswW/xcpF04XbReIF58XsRe6F74XvBe7F70XxBfOF9cX2hfXF84Xwxe4F7AXrBerF6sXqxerF60XsBe0F7oXwBfFF8oXzRfQF9IX0hfQF84XzBfOF9cX5hf6GA8YIBgrGDEYNhg/GE8YYxh0GHkYaRhEGBAX2RetF5cXmhevF88X7hgFGBAYERgKGAAX9hfvF/AX9xgFGBUYIBghGBUX+hfWF6wXgRdWFysXABbWFq4WixZsFlEWNBYVFfQV1BW9FbIVtRXBFdEV3hXoFfEV/xYYFjoWYxaJFqYWtha4FrAWoBaMFnUWWhY7FhwV/hXjFc4VvBWtFZ4VjRV7FWcVURU4FRsU+BTOFJ0UZhQpE+gTpRNlEyoS9xLMEqkSiRJoEj0SDhHdEa8RhhFjEUURKxESEPsQ5RDSEMIQtRCpEJoQiRB1EGIQURBFED4QOxA3EDIQKBAdEBIQChAIEAoQDhAQEA0QBQ/6D+wP3A/KD7MPlg9xD0YPGg7vDscOoQ58DlcOMw4SDfYN4A3MDbkNow2JDWwNTg0yDRYM+QzZDLUMjgxmDEAMHAv3C80LnAtlCywK9QrECpsKeApZCj0KIgoHCe8J2gnHCbcJqgmfCZcJjwmHCXsJbAlZCUUJMQkgCRIJBgj7CPEI6AjeCNUIywi+CK0ImQiCCGoIUQg5CCIICwf1B98Hywe3B6QHkQd+B2oHVQdABykHFAcABu4G4AbVBs0GxgbABrcGrAagBpIGhAZ0BmQGUwZBBi8GIAYTBgkGAAX2BekF2AXBBaQFgwVeBTcFEQTtBM0EsgSaBIIEZwRHBCQD/wPbA7gDmQN7A14DQQMkAwgC8QLeAtECygLEAr8CuAKuAqECkwKGAnkCbgJiAlUCRgI0Ah8CBwHsAc0BqQGCAVkBMgEOAPEA2ADAAKUAhgBhADkAE//w/9H/tP+W/3P/Sv8d/u7+vv6N/lr+Jv3y/cH9lP1u/U79Mv0Z/QT88vzl/N782PzQ/MT8s/yi/Jj8mvyo/Lz8y/zJ/LD8ffw5++37oftb+xv63fqe+l76Hvnh+az5gPld+T/5I/kG+OL4uPiG+FD4Gvfn97z3m/eC92/3W/dD9yf3Bvbk9sX2qPaO9nP2V/Y49hj1+PXZ9bv1nvV+9Vz1N/UR9Ov0xvSi9H30V/Qw9Ajz4PO685nzfvNp81nzTPM/8y3zFvL78t7yxfKz8qnyovKc8o/yffJm8k/yO/Iu8ibyIvIh8iPyKPIx8jzyRfJI8kHyMfIb8gTx7/Hf8dPxy/HH8cjxzPHS8djx2fHV8c/xzPHR8eHx9/IP8h/yJPIb8gjx7/HU8bjxnvGH8XPxY/FY8U7xRPE28SXxFfEJ8QXxCPEQ8RrxI/Ep8SvxKvEi8Q/w8vDN8KbwhvB18HbwhfCe8LfwzPDY8Nrw0fC+8KLwgvBh8EbwMfAl8B/wH/Ak8DHwRfBg8Hzwk/Ci8Kzwt/DP8PbxK/Fi8ZDxrvHB8dPx7vIW8kfydPKV8qjyt/LP8vfzLPNd83nzdvNd80HzPfNd85vz4fQR9Bz0BPPi89Tz8vRA9LD1KPWQ9d72FPY+9mj2lfbB9ub3AfcY9zP3Xvec9+f4NPh3+Kn4zfjp+Qj5L/lg+Zn51voU+lX6mPrd+yH7XPuM+677xPvV++f7/fwY/Df8WPx7/KH8zfz9/S/9Yv2R/b796v4a/k/+iP7B/vj/Kf9Y/4j/vv/5ADYAcQCjAM8A9wEgAU0BfQGsAdQB9QITAjMCXQKWAtoDJgNyA7oD/AQ5BHEEogTNBO4FBgUXBSMFKwUzBTkFPwVEBUwFVwVmBXkFjQWgBbAFvAXCBcQFxAXCBcIFxgXOBdkF5AXsBe4F6wXjBdsF1QXRBdAFzQXHBcAFugW5Bb4FyQXaBewF/gYMBhYGGwYcBhoGGgYfBi0GRAZkBokGrQbLBuEG8Qb8BwQHCgcPBxMHFwcbByIHLAc6B0gHVAdeB2UHagdvB3QHegeAB4QHhweIB4kHigeJB4UHfQdyB2QHWAdTB1oHbweRB74H7AgVCDMIQwhJCE4IXgiCCLwJCAlYCZgJuQmwCX8JMQjaCI0IVgg9CDoIRAhMCEQIIQfaB2gGxwX6BQYD/ALuAfMBHwCAAB3/+wAUAGYA6AGOAkgDAgOmBCEEaAR4BFcEFAPDA3UDNwMPAvoC7wLiAswCqQJ7AkoCGgHuAcUBmwFwAUcBJAEOAQcBCwERARABAwDpAMkAqwCTAH0AZABAAA7/0/+Y/2j/Tf9G/1H/Zv9//5f/qv+4/73/uf+t/53/k/+W/6z/1AAKAEIAcwCXAK0AugDDAM4A3gDzAQkBHQEuAToBRQFOAVoBaAF3AYUBkQGbAaUBsgHGAd8B+wIUAiUCKwIoAiECHgImAjkCVQJ0ApACpgK6AtEC9QMrA3MDyAQhBHMEtgTmBQcFHQUtBT0FTQVcBWkFdAV9BYcFkQWcBagFsgW4BbwFwAXIBdcF7wYRBjoGZQaNBq0GwgbOBtUG2AbcBt8G3AbNBq0GfQZBBgMFywWhBYcFeAVxBWwFZwVkBWQFaQVyBXwFggV+BW0FSwUYBNYEiAQzA98DlANYAzEDHwMgAy4DRANbA3ADgAOLA5EDkwORA4wDhQN9A3QDawNiA1gDTQNCAzcDLAMgAxMDAgLvAtkCwwKvAp8CkQKEAnMCWwI8AhcB8gHTAbwBrQGhAZMBfgFjAUIBIAEAAOEAwwCjAIEAYQBEACwAGAAF/+3/z/+s/4n/aP9H/yH+7/6u/mL+Gf3n/dv9/v5F/qD+9/82/1b/W/9Q/z//Mf8j/xH+9f7O/p/+cP5I/in+FP4D/fL93P3A/aD9gP1h/Ub9Lf0X/QL88Pzh/NT8y/zC/Lr8sPym/Jz8k/yM/IT8e/xt/Fj8Pfwb+/f70fut+4z7bftQ+zP7Fvr3+tf6tvqV+nX6WPo++ib6EPn4+d75wfmh+YP5Z/lR+T/5Lvkc+QX46vjN+LH4mviI+Hz4cPhh+E74NvgY9/j31fex94z3ZvdB9x72/fbc9rn2k/Zq9kH2G/X89eP1zfW29Zr1ePVU9TT1GvUJ9P/0+PTx9Oj03fTS9Mj0vvSz9KX0k/R/9Gv0WvRN9EH0NvQo9BXz/vPm89DzvvOx86bzmfOH827zUPMy8xnzBfL38uny1/K78pbya/I+8hTx7/HN8a3xi/Fk8TnxDPDe8LHwh/Bg8D7wIfAJ7/Xv4e/M77Tvmu9+72PvSO8u7xXu/e7m7tHuve6q7pTud+5U7i3uBu3n7dPtyu3J7cntyO3D7bntru2i7Zjtj+2I7YTthO2J7ZHtne2r7bntx+3X7ejt++4P7iLuMe497kbuT+5Y7mPuce6B7pHunu6m7qnupu6f7pfuku6V7qHutu7U7vrvJ+9a75Xv1fAZ8F3wnfDW8QjxNfFi8ZHxxfH98jbya/Kb8sXy6vMQ8znzavOg89r0FPRL9H/0svTl9Rv1U/WK9bv15vYI9iT2QPZf9oX2tvb09z73lff3+F34wfkb+WX5nfnG+eb6BPoo+lP6hfq6+u/7IftO+3f7nPu9+937/PwZ/Df8VPxz/Jb8wfz4/T79lf37/m7+6f9n/+MAWgDIASkBfAHBAf0CNgJ2AsEDGgN7A94EOgSKBM4FCAU7BWwFngXRBgYGPwZ+BsQHEAdjB7kIEQhqCMMJGglvCcAKCgpNCowKyQsIC0kLjgvVDB0MZwyxDPwNRw2QDdQOFA5QDosOxw8GD0YPhA+9D/AQHxBMEHwQsBDmER0RUxGHEbkR6RIaEk0SghK4EvETKRNhE5cTyhP9FDIUahSlFOIVHhVXFY0VwBXyFicWXhaUFscW9RcbFz0XWhd0F4oXmhejF6YXphemF6oXshe8F8QXxhfCF7kXsBeoF6MXoRehF6AXnxegF6IXpxevF7gXwRfHF8sXzBfLF8kXyBfKF80X1BfdF+gX9RgBGAwYEhgUGBEYDBgIGAcYCRgJGAIX7hfLF6AXdhdbF1YXaxeTF8MX8BgQGCEYIxgcGBAYBRf8F/gX+hf+GAEX/BfqF8cXlxdeFygW+hbaFsYWuRasFpsWhBZmFkUWIhYDFegV1hXOFc8V1RXbFd4V3hXfFeYV/BYhFlEWgxatFsQWxxa5FqIWiBZwFlwWSRY0FhsWABXlFcwVuBWoFZwVkRWFFXcVZRVQFTYVFxTyFMUUjxRRFAwTwhN6EzkTARLUEq8SjBJnEiMR8xHEEZgRcRFPES8RERD1ENwQxxC2EKkQnRCPEH0QZxBPEDoQKhAhEB0QGxAXEBAQBQ/5D/AP7Q/xD/kQARAFEAMP+w/vD+MP2Q/PD8EPqw+MD2UPOg8QDukOxg6jDn4OVg4sDgMN3Q28DaANiA1zDWANTg09DSoNFAz2DNMMrAyGDGIMQAweC/cLyQuTC1oLIgrvCsQKnwp+CmEKRQotChcKBQn1CeYJ2AnMCcEJtwmuCaMJlwmHCXcJZwlYCU0JQwk7CTMJKwkhCRQJBAjtCNIItQiXCHwIZQhTCEQINQgkCA4H9gfbB8EHqAeSB38HbQdbB0cHMQcYBv8G6AbVBsUGuQauBqMGlwaKBn0GcQZlBlcGSAY3BiUGFQYHBfsF8wXrBeIF1wXHBbAFkwVvBUQFFgTqBMIEoQSHBHIEXARDBCUEAwPeA7kDlwN2A1cDOAMZAvsC3gLGArQCqQKkAqICogKfApcCiQJ4AmQCUgJBAjMCJQIYAgcB8gHXAbYBjwFmATsBFADzANoAxQCxAJsAgABgAD4AHQAA/+b/zP+s/4b/Wf8p/vj+yP6Z/mn+N/4B/cr9lP1j/Tb9Dvzp/Mn8rfyY/Ir8gPx6/HT8b/xu/HT8hPya/K/8tvyo/H/8Qfv2+6v7Z/su+vr6xvqN+k36CvnL+Zb5bPlL+TD5E/jy+Mn4mfhk+C33+PfJ96L3g/ds91j3Q/cs9xH29PbW9rr2n/aF9mj2SPYk9f712vW59Zz1gvVm9Uf1JfT/9Nn0svSN9Gj0QvQa8/HzyPOf83jzVvM78yXzFvMJ8vvy6/LW8r7ypvKT8ofyf/J48m7yXfJH8i7yF/IG8fvx9vH38f3yB/IU8iHyK/Iu8ibyFfH98eTxz/G+8bTxsPGx8bfxvvHF8cbxwPG08aXxm/Gc8avxxPHi8f7yEvId8iDyG/IO8fnx3PG68Zjxe/Fm8VfxSfE58STxDvD88PPw9vEC8RTxJvE38UbxUfFV8VDxPvEg8Pzw2fDA8LTwt/DF8Nnw7vEC8RHxGPEV8QTw6PDE8J3wePBa8EPwNvAy8DnwSfBf8HXwh/CS8JrwqPDD8O7xI/FY8YPxovG58dPx9vIj8lPyevKS8p7yq/LH8vXzLfNd83Xzb/NX80TzS/Nw86nz2fPs89nzsfOS85zz3/RS9Nz1W/W89fj2HPY59lz2iPa19tz2+vcT9zL3Yfei9+74Ofh6+Kv40Pjy+Rn5SPl9+bP56Pob+k36gfq5+vL7KPtW+3z7nfu7+9z8APwk/EX8ZPyB/KD8yPz4/S/9Zv2a/cj99P4g/lL+iv7F/v7/M/9m/5n/zwAKAEUAegCoAM0A8AEWAUIBcwGjAc0B7wIMAiwCVgKKAsgDCANGA4ADuQP1BDQEdASwBOEFBQUeBS8FPAVIBVQFXQVkBWoFcQV7BYkFmAWmBbEFuAW8Bb4FwAXEBcoF0wXfBewF+QYBBgMF/wX4BfMF8AXzBfcF+gX3Be4F4QXVBc8F0gXfBfQGDQYmBjoGRQZIBkIGOAYuBioGLgY9BlMGbgaLBqcGwQbYBusG+gcEBwkHDAcOBxIHGgcoBzgHSgdaB2gHcgd7B4IHiAePB5UHmwehB6YHqQerB6oHpQebB40Hfgd0B3QHhAekB9AH/wgmCD8ISQhLCFMIbAieCOYJOQmECbUJwAmjCWgJIAjcCKsIkQiICIgIhAh2CFkILAfpB4YG9QYoBRwD4AKPAVMAUv+n/1f/Vf+H/9gAOQCqATUB4AKoA3sEOgTHBQkE/ASvBD0DyANnAyUC/gLkAsoCpgJ3AkICCwHXAaQBcAE+ARMA9wDuAPgBCwEZARYA/ADSAKEAdABPAC8ACP/W/5n/Xv81/y3/Sv+G/9AAFwBNAHAAgACEAH4AbgBTACz//v/S/7P/qv+6/98AEwBIAHcAmgCxAMAAzgDgAPgBFQEzAUwBYAFtAXkBhgGXAakBuwHJAdMB3AHpAf0CGQI4AlUCaAJwAm8CawJrAnICggKZArMCzwLtAw4DNANiA5cD0AQMBEYEfQSvBN0FBwUsBUsFYwV0BX8FhwWPBZoFqwXABdUF5gXyBfcF+AX7BgMGFQYyBlkGhAavBtQG7wb9BwIG/gb2BukG1wa9BpgGaQY2BgQF3AW/Ba8FpAWbBY8FfwVtBV0FUQVHBTwFKQULBOAEqARnBCMD4QOoA30DZANhA3EDkAO4A+AEAwQbBCgEKwQmBBwEDwP+A+sD1gO/A6cDjwN3A18DSQM0AyIDEgMEAvYC5wLVAsACqgKTAn4CbAJaAkgCMAIUAfIBzwGuAZEBeAFhAUoBMQEWAPwA5QDRAL4AqQCOAG4ASgAnAAr/8//f/8j/rP+K/2T/QP8f/v7+2P6k/mL+Gf3V/ab9m/22/fL+QP6N/sz+9f8G/wT+9f7f/sX+qf6L/mr+R/4j/gD93f2+/aL9if1z/V39R/0x/Rv9Bfzy/OH80fzD/Lf8q/yg/Jb8jvyE/Hn8bPxd/E78QPwz/CX8FfwA++P7wvud+3v7XftF+zD7G/sD+uX6wvqa+nL6TPop+gv57/nW+b/5qPmT+YD5cPli+VT5Rvk2+SL5C/jz+Nz4xviz+KH4jPh0+Fj4Ovga9/z33fe995v3dvdP9yj3A/bg9r/2nvZ99l32QPYo9hT2AvXu9dX1tvWV9XX1W/VI9Tr1L/Ui9RX1BvT39Or03fTQ9MD0rfSa9Ib0dvRp9Fz0TfQ79Cb0DvP38+Tz1fPK88Dzs/Oi84vzcvNZ80LzLfMZ8wLy5fLE8p7yefJY8jryHfH98djxq/F58UXxFPDo8MDwnfB98F/wRfAu8BnwBO/t79Lvtu+b74Lva+9X70PvLu8Z7wTu8e7e7sjurO6K7mPuPe4f7grt/+357fTt7O3g7dPtxe257a7to+2Y7Y/tiu2O7Zrtr+3I7eLt++4S7ifuOu5L7lruZu5w7nfufe6D7oruku6b7qTuqu6s7qruou6Z7pLuke6a7qvuxe7m7wvvNu9m757v3fAg8GTwpPDe8RLxQvFx8aLx1vIM8kPyefKr8tnzBPMs81XzgPOw8+P0GfRQ9Ij0wPT59TT1bvWn9dz2C/Yy9lX2dfaY9r/27vck92P3rfgA+Fv4uPkO+Vb5jPmw+cj53Pn3+hv6Sfp++rH64fsI+yr7SPtm+4X7pvvI++j8Bvwl/Ej8dvyy/P79Wf29/iX+i/7v/1L/tgAdAIYA7QFQAa0CBwJiAsUDLwOeBAwEcATHBQ4FSAV3BZ8FwwXlBggGMQZlBqYG8wdKB6QH/ghUCKgI+wlOCaEJ8Qo8CoEKwAr9CzwLfgvEDA4MWgyoDPUNQg2MDdIOEw5QDooOww79DzgPcQ+oD90QEBBDEHcQqxDgERQRRxF6EawR3xITEkgSfxK3EvATKhNkE5wT0RQEFDgUbhSoFOMVHhVXFYwVvhXwFiMWWBaMFr4W6xcSFzQXUhdsF4EXjxeWF5cXlReWF5oXoReoF60XrRepF6MXnheaF5kXlxeUF5EXjhePF5QXnherF7gXxBfLF8wXyBfCF7wXuhe+F8gX1hfkF+8X9hf4F/YX8hfqF98X0hfCF7QXqReiF5sXkRd/F2cXTxc+Fz4XUxd6F6sX2Rf+GBQYHRgdGBkYExgNGAcX/xfzF+MXyRejF3EXNRb3FsAWmRaGFoMWiBaLFoQWcRZTFjMWFRX/FfMV7hXtFewV6RXjFd4V3RXmFf8WJhZZFo4WuhbVFtoWzBayFpUWfBZqFl4WUhZBFigWCRXnFccVrhWcFZIVjBWGFXsVaxVUFTcVFxTxFMcUlhRdFBwT1RONE0kTDBLYEqoSfhJSEgoR2BGoEXwRVBEvEQ0Q7BDOELcQphCcEJYQjhCBEG0QUxA3EB0QCQ/8D/UP7w/oD98P0w/HD78Pvg/DD80P2A/fD98P2A/PD8YPvw+6D7IPog+ID2UPPQ8XDvUO2Q6/DqMOgQ5YDioN+w3PDacNhg1qDVUNRQ05DS0NHQ0HDOgMxgyiDIEMYgxCDB4L8Qu8C4MLSwsXCuoKxQqlCokKcQpcCksKPgoyCiYKGQoKCfwJ7wnjCdcJzAnACbUJqQmeCZMJigmBCXkJcQlnCVgJQgklCQMI3gi9CKIIjgiACHMIZAhQCDcIGwf9B98HwgepB5MHfwdrB1YHPwckBwgG7AbTBr4GrQaeBpAGgwZ0BmYGWQZMBj4GMAYgBhEGBAX6BfMF7wXsBegF4AXSBb0FngV2BUcFEwTfBLEEjQRzBGIEVQRIBDUEGwP6A9MDqQOAA1kDNAMSAvIC0wK3AqACjwKGAoQChgKHAoMCeAJmAlECPAIqAhsCDwICAfEB2gG8AZgBcAFGAR4A+wDdAMUAsgCgAI0AdgBcAEEAKQAT//7/5v/H/5//b/87/wj+1/6p/nv+Sf4S/dX9lv1Y/R385vy1/In8ZfxJ/Dj8Mvw0/D78Tvxi/Hv8lfyq/LP8p/yD/En8APu0+3D7N/sJ+t/6sfp5+jn59vm2+YD5Vfkz+RX49PjO+KL4cPg7+Aj32few9433cvdb90b3MfcZ9v724fbD9qb2ivZu9lD2LvYI9eH1vPWc9YD1aPVP9TL1EPTo9L30kvRp9EP0HvP789fzsfOK82HzOPMS8vLy2PLG8rnyrvKh8pHyf/Js8lvyTfJB8jTyJfIS8f3x6vHb8dPx0fHW8d/x6/H48gPyCPIF8frx5/HR8bvxqvGg8Zvxm/Gd8aHxpPGk8Z7xj/F68WPxUfFK8VHxZfGC8aTxyPHs8g7yKfI38jHyF/Hs8bnxivFo8VLxRPE58SvxHPEQ8QzxEfEe8S3xO/FH8VPxYPFt8XnxfPF28WTxTfE18SLxFvES8RTxHPEo8TfxRfFO8UzxPfEi8P3w1PCq8IXwZ/BR8EjwSfBT8GLwcfB+8Izwn/C98OfxGPFK8XfxnPG/8eTyDvI68l/yd/KC8ofylfK28unzIvNP82TzYPNR80vzXPOC86vzwfO1843zYvNU83rz2vRe9OX1UvWX9br1zvXq9hj2VfaY9tL3Avcp91L3hffC+AT4Q/h5+KT4yfjw+Rz5T/mF+bn56foV+kH6cfql+tr7D/s/+2v7k/u8++b8EPw3/Fj8c/yL/Kf8y/z7/TL9bP2h/c/9+v4m/ln+lP7V/xT/T/+E/7b/6gAhAFcAiQCzANYA+AEeAUsBfgGvAdoB/QIaAjsCZAKYAtEDCAM7A2kDmAPOBA8EVgScBNgFBwUpBUIFVwVqBXoFhQWKBYwFjgWSBZkFogWpBa4FrwWxBbQFuwXFBdIF4QXxBgEGDwYZBh4GHgYbBhgGGAYcBiIGJgYkBhoGDAX9BfMF8QX7Bg8GKAZDBlsGagZuBmgGWgZIBjgGLAYpBi4GPAZPBmgGgwaeBrgGzgbfBusG8wb8BwYHEwcjBzYHSQdcB2wHeQeDB4sHkgeZB6AHqAewB7YHuwe+B78HvQe2B6oHnAeRB5AHnge8B+UIDwgtCDwIPQg8CEkIcAizCQoJYgmoCcsJxwmjCW0JNgkOCPcI7gjoCNoIvAiPCFsIJgfvB6gHOQaGBYIENQLBAV8AQ/+U/1b/bv+t/+cACQAbAD4AlgE8AioDPAQ9BPoFVQVLBPIEcQPrA3oDJgLpAroCkAJnAj4CFAHmAbEBdAEzAPcAzwDBAM0A5gD5APgA2wCnAGoAL//9/9H/pP9y/0P/J/8v/2j/zwBRANQBPAF8AZQBkAGAAXABYgFOAS0A9wCtAFkAC//S/7v/x//xACwAZwCYALkAzwDfAPMBDwEvAU8BaAF5AYQBkAGhAbgB0QHnAfUB/QIDAg4CIgI+Al0CdwKHAowCiwKJAo8CoAK9AuUDFANEA3IDmgO7A9YD7wQJBCsEVQSIBMEE+QUrBVMFbgV+BYUFigWTBaUFwgXnBhEGNwZWBmsGdQZ5BnsGfgaFBpEGoQa0BscG1gbhBuYG5gbgBtYGxgauBo4GZwY6Bg4F6AXJBbEFnQWGBWoFSAUjBP4E2wS4BJQEbQRABBAD4gO7A58DkQOSA6ADuQPbBAEEKQRNBGsEgASNBJIEkwSQBIgEfQRqBFEEMAQJA98DtAOMA2gDRwMrAxQDAALvAuAC0gLBAq4CmAJ+AmMCRwIsAhIB+QHfAcUBqQGMAW8BUgE1ARcA+ADbAMEArACbAIwAfABmAEkAJwAF/+X/y/+0/57/hP9k/0D/Gv74/tr+u/6W/mX+Jv3e/Zr9aP1V/Wj9nP3o/jn+gP6u/r3+sf6U/nD+UP43/iP+Dv30/dH9qP2B/WH9TP0//TX9KP0V/Pz84/zN/L78tvyw/Kv8ovyX/Ir8ffxv/F78Sfwx/Bj8Avvy++n74/vZ+8j7rfuM+2r7Tfs5+yv7H/sO+vT60fqo+nv6T/ok+f352vm7+aP5kfmG+X/5efly+Wn5XflP+UH5Mvkj+RP5Avju+NX4t/iU+G34Rvgh+AD34vfF96X3gPdX9yz3A/bg9sH2p/aO9nf2YfZO9j32LfYd9gn18fXW9br1ofWL9Xf1ZfVT9UH1MfUj9Rb1CvT89Oz02/TK9Lv0rvSg9JD0e/Rh9EX0KfQR8/7z7/Pj89XzxPOw85nzg/Nu81rzRvMw8xXy9vLT8rHykvJ38l7yQ/Ih8fTxv/GH8VDxIvD78NzwwfCn8I3wdPBe8EnwNPAe8AXv6+/S77zvqu+Z74bvcO9Y7z7vJe8N7vTu2O637pTucu5V7kDuMu4o7h3uEe4D7fXt6O3d7dLtxe227ajtoO2i7a7txO3g7f7uG+417kvuXu5t7nruhO6M7pLul+6c7qDuo+6n7qrurO6s7qnuo+6e7p3upO607s3u7u8T7zvvZe+U78jwAfA+8HvwtfDr8R3xT/GA8bPx5/Ic8lDyhfK68u7zH/NL83TzmfPA8+v0HfRV9JL00fUQ9U71ifXB9fT2IvZL9nH2l/a/9ur3GfdL94H3vPf++Ej4mPjm+Sz5Y/mI+Z/5sfnF+eP6C/o4+mX6jfqt+sb63vr3+xX7OPtc+4H7pvvM+/j8Lvxz/Mb9JP2G/ef+Qf6W/un/P/+cAAMAbwDeAU0BugIqAp4DGAOVBA8EgATjBTcFfAW1BeEGAgYYBikGPgZeBpIG2wcyB5AH7AhACI4I2QkmCXcJywocCmgKrArqCycLZwusC/gMRwyZDOoNOQ2EDcoODA5JDoMOug7wDyUPWQ+ND8EP9hAtEGUQnBDTEQgROxFvEaUR3BITEkoSgBK2EuwTJBNeE5gT0RQIFD4UdBSqFOAVFxVMFX8VsRXlFhsWUxaLFr8W7hcWFzkXVhdtF34XhheHF4MXfxd+F4MXjBeUF5kXmheYF5YXlBeUF5MXkBeLF4YXhBeIF5EXnxevF74XyBfNF8wXxRe7F7MXsBe2F8UX2BfqF/YX+BfyF+cX2hfMF7wXqReUF4AXcxdvF3UXfxeEF38XcRdhF1gXXxd2F5sXwxfnGAEYERgaGB0YHRgVGAYX7hfOF6sXhBdcFzEXAxbWFq4WkRaCFn0WfBZ4FmoWUxY3FhwWChYCFgEWAxYBFfkV7RXjFeEV7hYMFjgWbBafFsYW3BbeFs8WtxaeFooWfxZ6FnYWbRZbFj4WGBXvFckVqhWWFYsVhRV/FXMVXhVCFSEU/hTbFLcUjxRfFCYT5ROeE1cTFRLaEqQScBI9EgYR0BGaEWgROhEPEOcQwxCkEIwQfhB5EHgQdxBwEGAQSRAtEBEP+A/kD9UPyA+7D64PoQ+VD40Pig+ND5QPng+nD6sPrA+oD6QPoA+cD5UPiA9xD1MPMg8RDvUO4A7NDrkOnw59DlQOJg33DcoNoQ19DWANSw08DTANIw0RDPcM2Ay2DJYMdwxYDDYMDQvdC6cLcgtBCxcK9QrZCsIKrgqcCo0KfwpyCmQKVgpICjkKKwofChQKCgoCCfkJ8AnmCdsJ0AnFCb0JtQmrCZsJgglhCTsJFgj2CN8Izgi+CKwIkwh0CFIIMAgQB/MH1we8B6EHhgdtB1MHOQceBwEG5AbKBrIGnwaQBoEGcgZiBlIGQgYzBiQGFgYJBf4F9QXuBeoF5gXiBdoFzgW7BaEFgAVXBSgE9gTEBJcEcgRZBEoEQwRABDkEKwQSA+0DvwOMA1sDLwMIAuYCxwKqAo8CegJuAmoCbAJvAm4CZgJWAkECKwIYAggB+wHrAdgBvgGeAXkBUgEqAQMA3wDAAKYAkAB+AG0AWwBIADUAIgAR////6v/O/6j/e/9J/xb+5f62/ob+Uv4X/dX9jf1D/Pv8uPx9/En8IPwE+/b7+PwH/CL8Rfxr/I/8qfyz/Kj8hfxM/Ab7u/t3+z37EPro+r/6jvpU+hP50fmV+WL5OfkU+PH4y/ig+HH4P/gN9973s/eO92/3VPc+9yj3Efb29tf2tPaR9nD2UvY49iD2BvXq9cv1q/WN9XL1WfU/9SH0/fTR9KL0cvRF9B3z+fPZ87nzl/Ny80rzHvLy8sjypvKN8n3ydfJu8mXyV/JE8i3yF/IC8fDx4PHR8cTxuPGx8a/xsvG68cXx0fHb8eHx4PHZ8cvxufGn8ZfxjPGG8YLxgfF/8X3xevF08WvxW/FF8S3xFvEF8P7xAvET8TDxWvGR8dDyDfI88k/yQvIY8d7xpPF38VrxSvE/8TXxKfEg8R3xI/Et8TjxP/FC8UbxT/Ff8XTxifGX8ZzxmfGP8YTxevFx8WvxZ/Fo8W7xd/GA8YPxfPFq8U7xKfD+8NDwo/B78F3wTPBJ8FHwYfBz8Ijwn/C98OLxDfE88Wzxm/HM8f3yK/JR8mrydfJ38nzyj/K18unzHPNC81LzUvNR81vzdvOX86zzpfN980TzF/MT80bzqvQl9Jn08PUn9Uv1b/Wm9fH2Svah9uz3J/dY94b3tvfq+B74Tfh2+Jv4wvjs+Rz5T/mA+a/52voE+jL6Zfqc+tT7Cvs7+2n7lPu/++v8Fvw9/F/8fPyX/Lb83f0O/UX9fv2y/eH+DP45/m7+rP7u/zD/bf+j/9cACwBCAHsAsQDgAQgBLAFTAX4BqwHVAfYCDgIiAjsCYAKSAsoDAgM0A2ADjQPBBAAESASPBM4FAQUpBUgFYgV5BYoFkwWWBZUFlQWaBaMFrgW3BbsFvAW+BcIFywXYBeYF9AYCBhAGHwYuBjoGQwZIBkkGSwZOBlEGUwZRBkkGPQYvBiQGHwYjBjAGRAZbBnAGfwaEBn8GbwZZBkEGLQYfBhkGHAYnBjkGTwZoBoEGmAatBsIG1gbrBwEHFwcrBz0HTQdbB2cHcgd8B4UHjQeWB6AHqQeyB7oHvwfEB8cHyAfFB78HtgeuB68HvwfcCAEIIgg2CDkIMQguCEAIcQjBCSEJfAm+CdwJ1QmzCYcJXglACS4JIgkRCPEIwAiBCD4IAQfLB48HMwaWBaMEXgLqAYIAZv/C/5z/0QAnAGIAYgAu/+//3AAiAM4ByQLgA9sEiwTbBNIEiQQfA64DSQL0ArECfQJWAjcCGwH5AckBigFAAPcAvwCiAJ8ArQC5ALQAmABoADD//f/V/7b/nP+E/3X/ff+sAAkAjAEfAaQCAgIsAikCDQHvAeAB5QH1Af4B7QG3AVoA5QBsAAr/0v/M//IAMgB2AK4A0QDkAPIBBAEeAT0BWgFvAXwBhwGVAawByAHkAfoCBwIPAhgCJwI+AlsCdwKLApYCmgKdAqYCuwLfAxADSQODA7YD3AP0BAAECAQUBCsEUQSEBL0E9gUnBU4FaQV6BYUFkQWjBcAF6gYeBlgGkgbFBuwHBgcRBxAHAwbuBtIGtAaYBoEGcwZtBmwGbwZzBnUGcQZlBk8GLgYDBdMFogV1BU0FJwUABNYEpwR2BEYEGAPtA8UDnwN+A2UDWgNgA3kDoQPSBAYENgReBHwEkQSeBKYEqgSvBLYEvgTHBM4EzQTABKcEgARPBBkD4wOvA4EDWQM2AxcC+wLiAswCuAKkApACegJgAkICIgIBAeABwwGpAZEBeQFhAUcBKwEOAPEA0wC2AJkAfgBlAE8AOgAlAAz/8P/S/7T/mP9//2j/Uf83/xj+9v7U/rX+mv5//l7+MP31/a/9af0z/Rz9K/1f/a39//5B/mT+ZP5J/iH9+/3f/c39vf2m/YT9W/0z/Rb9CP0G/Qf9APzt/NH8s/yc/JP8lfyd/KL8nvyR/H78afxT/Dz8IvwG++j7zvu9+7b7tfuz+6n7k/t1+1T7Ofsn+x77F/sM+vn63fq6+pP6bPpD+hv58vnN+a/5nPmS+Y/5jvmL+YP5ePls+WD5VvlL+UD5L/kZ+Pz42fiv+IP4Vvgs+Af35/fJ96n3hPda9y73BPbf9sP2rfaa9or2efZo9lj2SfY69ir2GPYE9e711vW+9aX1jvV49Wf1WvVR9Un1QPU09ST1FfUI9P709vTr9Nn0v/Sd9Hj0VfQ39CD0DPP68+bz0PO486Hzi/N382bzVPNB8yvzEfL08tbyuPKb8n3yWvIx8gHxzPGW8WfxQPEi8Qrw8/Da8MDwpfCN8HjwZvBT8D/wKfAU8AHv8O/f78vvsu+T73LvUe8z7xbu+e7c7r3uoO6G7nHuYO5S7kPuNO4m7hnuDu4E7fjt6u3b7c3txe3G7c/t4O327g7uJu497lPuZ+547obuke6a7qHuqO6s7q7uru6s7qruqe6o7qjuqO6r7rLuwe7Z7vjvHe9F72zvle/B7/HwJPBa8I7wv/Dv8R7xT/GD8bnx8PIm8lzykvLL8wPzOfNo85DzsvPS8/j0KPRh9KL05fUm9WP1nPXR9gL2MPZZ9oD2p/bQ9v73Lvdf94/3vvfv+Cf4Zfip+Or5JPlQ+W75hfmZ+bH5z/nx+hL6L/pI+lz6cfqI+qX6yfry+yD7UvuK+8f8C/xW/Kj8/v1W/a3+AP5Q/p/+8v9K/6oAEAB8AOwBYAHZAlgC3QNiA+MEXATJBSkFfQXEBfwGIgY1BjsGPwZOBnQGtQcOB3IH1QguCHwIwgkJCVUJqAn8CkwKlQrWCxMLUguWC+EMMQyFDNgNJw1zDbkN+w45DnQOrA7iDxQPRQ91D6cP3BAVEFEQjRDHEP8RNBFpEZ8R1xIQEkYSehKtEuATFhNRE44TzRQJFEIUdxSqFNwVDRU9FW4VohXZFhUWUhaPFscW9hceFz4XVxdpF3MXdRdwF2kXZBdmF28XexeHF48XkReQF44XjReMF4sXiReGF4UXiReUF6MXsxfCF8wX0hfTF9AXyRfAF7gXthe8F8wX4Rf1GAEYAhf4F+gX1xfGF7UXoheMF3gXbRdvF4AXmBesF7MXqReVF4IXexeGF6EXxBflF/8YEBgaGB0YGRgKF+wXwheRF2EXORceFwsW/RbtFtoWwxarFpUWfhZlFkoWLRYTFgAV9hX2FfoV/hX8FfUV7hXvFf4WHhZMFn8WrhbOFtwW1xbEFq0WmBaLFocWiRaOFo0WhBZvFlAWKRYBFdoVuxWkFZMVhhV3FWIVRhUkFQIU4hTHFK4UkhRsFDoT+hOxE2YTHxLfEqYScRI8EgwR0hGYEWERLhEAENYQsBCNEHEQXhBUEFIQVBBTEEwQPhAoEA8P9A/bD8QPsA+eD48Pgg93D20PZw9jD2QPaA9wD3kPgQ+GD4kPiQ+GD4APdQ9kD04PNA8aDwMO8A7eDsoOsQ6TDnAOSA4fDfYNzg2oDYYNaw1XDUgNOQ0nDQ0M7AzGDKAMfQxcDDwMGAvvC8ILlQtrC0cLLAsXCwYK9wrnCtUKwgqvCp0KjgqCCncKbgplClsKUgpJCj8KNQoqCh0KDwoDCfkJ8AnlCdMJtwmUCW0JSQkvCRwJDgj8COAIuQiKCFwIMwgTB/gH3wfEB6UHhQdlB0cHLAcQBvQG1wa8BqUGkgaEBngGawZdBksGOgYpBhsGDwYGBf0F9AXqBd4F0AW/BasFlAV4BVkFNQUPBOYEvQSUBGwESgQuBBwEFQQWBBkEGAQKA+0DwQONA1cDJgL9AtwCwQKnAo8CfAJuAmkCaAJqAmcCXAJKAjMCHAIGAfQB5AHSAbwBogGEAWEBPAEWAO4AxgChAIAAZwBUAEcAOwAvACAAD//9/+n/0/+4/5b/bf8+/wv+2P6m/nP+PP3//bv9b/0g/NH8iPxI/BP77fvW+8/72Pvw/BP8Pvxp/Iz8n/yb/H38SPwE+7v7d/s++xD65/q9+o36U/oU+dT5mvlo+T75Gfjz+Mv4n/hu+Dv4CffZ96z3g/de9z/3JPcN9vb23Pa99pf2bfZD9h72AvXw9eT12vXN9bn1n/WC9WX1SfUs9Qz05vS69In0V/Qo8/7z2fO385fzdfNS8yzzBPLc8rTykPJy8l3yUPJH8j7yMPIb8gDx4vHG8a/xnfGR8YnxhPGC8YPxh/GN8ZXxnPGh8aLxn/GX8YvxfvFx8WfxYPFa8VTxTPFE8TzxNvEy8S/xKvEg8RDw/PDm8NHww/C+8Mrw6/Ej8W/xwfIK8jnyRPIt8f/xyvGc8XnxX/FK8TPxHfEK8QDxAvEK8RXxHPEf8SLxKfE38UzxZPF68YrxlfGd8aPxqfGu8bLxtPG18bfxufG68bfxrvGd8YTxZPE78Qvw2PCl8HnwWvBL8E3wXPBx8IrwpPC+8Nzw/vEm8VXxivHD8fvyLfJT8mvyd/J/8ovyo/LG8u/zE/Mr8zjzQ/NU83DzlPOv87PzlfNd8x3y8fLt8xnzavPL9Cj0d/S79P71TfWr9hH2dfbL9w73Qvdu95j3w/fu+Bf4PPhf+IX4sPjh+RP5Q/lv+Zf5wfnv+iL6W/qX+tD7Bvs3+2X7kvu9++n8E/w8/GL8hvyq/M/8+f0p/V39kv3F/fT+If5Q/oX+wP8A/0H/ff+1/+wAJgBlAKcA5gEfAU4BdwGcAcIB5gIEAhgCIwIrAjkCVQKCArkC8wMoA1cDhQO4A/MENQR3BLIE5AUNBS4FSwViBXMFfAV/BYMFjAWcBbMFygXdBekF7wXzBfgF/wYIBhAGFgYdBiYGMwZFBlcGZwZzBnoGfwaDBoYGiAaHBoAGdAZkBlMGRQY+BkEGTQZhBncGigaTBpAGfwZlBkcGKwYWBgsGCgYRBh8GMQZFBlkGbwaGBqEGvwbfBv4HGQcuBz0HRwdOB1YHXwdpB3MHfgeJB5UHoQesB7UHvAfBB8YHywfNB80HygfHB8wH3Qf6CB0IPAhLCEgIPQg5CE0IgQjSCTAJiAnGCeQJ4gnJCaQJfAlYCTkJHQj/CNgIowhfCA8HuQdhBwEGiQXfBPMDxgJ3ATgARP/G/8QAHgCYAPMBCADSAHAAF//1ACcAqAFfAiQC0QNPA5MDowOLA1kDGwLbAp8CbQJFAiYCCgHrAcEBigFKAQkA0gCsAJgAkgCOAIEAaQBHACYAEAAHAAoAEwAeACoAQgBuALQBDgFsAbsB6AHuAdUBrwGQAYoBowHVAg8CPAJGAh4BwQE/ALEAOf/w/+IACABLAJAAxQDkAPIA/QEPASsBSgFkAXUBgAGIAZcBrQHHAeAB8wIBAg4CHwI3AlQCcgKLAp0CqAKyAsEC2QL+Ay4DZQObA8kD6wP/BAoEEwQiBDwEYASMBLsE5wUPBTQFWAV7BZ8FwwXqBhUGRgZ8BrYG7gcfB0QHWgdgB1MHNAcCBsAGdQYpBeUFsQWRBYIFggWIBZEFlwWVBYkFbwVJBRkE5QSyBIMEVwQtBAID1QOqA4IDYANHAzQDKgMpAzMDSgNwA6QD4AQcBFIEegSVBKIEpgSkBKAEngShBKkEtgTFBNME2wTXBMYEpgR7BEkEFAPgA60DfgNSAycC/wLaArcCmQJ+AmYCUAI4Ah8CAgHiAcIBogGEAWcBSwEvARMA+ADdAMQAqwCPAHEAUAAuAA7/8v/a/8X/sP+X/3v/Xf9A/yj/Ev7+/uj+zv6w/pH+df5c/kT+J/39/cT9f/04/QD85/z2/Sv9dv3B/fn+D/4D/eH9tv2R/XT9Xv1H/Sv9Cfzq/NT8y/zK/Mr8wfys/I/8c/xj/GX8dPyI/JX8kvyA/GT8RPwn/A379PvZ+777pvuW+5D7kPuR+4r7ePtb+zv7H/sM+wH6+/rz+ub61Pq/+qn6k/p6+lr6NPoM+ef5y/m7+bX5svmu+ab5mvmN+X/5cfli+U/5OPkd+P742/i1+I34Yvg4+BD37PfL96r3hvdf9zT3DPbo9sz2uPap9pv2jvZ+9m72XfZM9j32LfYe9gz1+PXg9cb1rPWV9Yb1f/V/9X/1fPVz9WT1VfVK9UP1PvU19SL1A/TZ9Kv0gPRc9ED0KfQU8/7z5/PQ87nzo/OQ83/zb/Ng81DzPfMn8wry5vK+8pLyZfI28gfx2fGv8YvxbvFX8ULxLPER8PTw1fC68KPwkfCA8G/wXfBL8DnwKPAW8AHv5u/F76Hvfu9d7z/vI+8H7uvuz+617p7uie517mPuUu5C7jXuKu4e7hLuBO327ezt6O3q7fLt/u4L7hnuKu4+7lPuae587ovul+6g7qjur+607rXus+6u7qnup+6o7q3utO6+7s3u4u797x/vRO9p74zvr+/U7/3wKfBY8Ifws/Df8Q3xP/F28bDx6/Il8l7ymPLU8xDzSfN686Lzw/Pi9Af0NfRt9Kz07PUp9WL1mfXO9gL2MvZe9of2rvbX9wX3Nvdo95X3vPfg+Ab4Mvhn+KD42fkM+TT5Uvlq+YD5lfms+cL52Pnu+gT6G/o1+lL6dPqe+tH7EPtZ+6j7+vxL/Jj84/0v/X39z/4k/nr+0P8n/4D/3QA/AKkBHAGXAhoCoQMoA6kEIQSPBPMFTQWbBdwGCQYiBigGJwYvBk0GigbjB0wHtwgYCGsIsgj1CTwJigndCi8KewrACwALPguBC8kMFgxmDLYNBQ1RDZgN3Q4eDlwOlw7ODwIPMw9jD5QPyhAFEEIQgRC9EPQRKBFaEYwRwRH4Ei4SYhKWEsoTAhM+E34TvhP9FDgUbxShFNEU/xUtFVwVkBXJFggWShaKFsMW8xcZFzYXTBdaF2EXYRdbF1YXVBdbF2kXeReIF48XjheJF4IXfhd8F3sXexd+F4UXkhejF7cXxxfSF9YX1hfVF9MX0BfLF8YXxBfIF9QX5Rf3GAMYAxf6F+oX2hfMF74XrheaF4cXehd8F4sXoxe5F8EXuhenF5UXjxebF7YX1xfzGAYYDhgPGAoYABfrF8cXlhdfFywXChb7Fv4XBxcLFwMW7BbJFp8WdhZRFjEWGBYGFfsV9xX5Ff0WABYDFggWEhYmFkcWcRaeFsQW3hblFtwWxxavFpsWjxaMFo4WkhaTFo4WgRZtFlMWNRYVFfUV1xW9FaYVjhV0FVQVLxUJFOYUyxS5FKsUmhR8FEwUCxO+E24TIxLiEqoSdxJDEgIRyRGQEVwRLhEFEOAQuxCVEHIQVBBAEDYQNRA3EDYQMBAiEA4P9Q/aD78Ppw+TD4MPeA9vD2gPXw9WD08PSw9OD1YPYQ9sD3UPeQ95D3UPbw9mD1kPSg84DyYPEg79DuUOyA6oDoUOYQ4+DhsN+A3WDbUNmQ2CDXANXw1LDS8NCQzcDKwMfwxXDDMMEgvvC8sLpwuFC2oLVgtKC0MLOwswCx8LCgrzCt8K0ArHCsIKvQq1CqoKmwqMCn4KcApiClIKQgoyCiUKGQoLCfgJ3Am4CZIJcQlZCUkJOgkjCP4IzAiTCF0IMAgPB/YH3wfEB6QHgQdfB0EHJQcJBuwGzgayBpoGigaABnkGcAZkBlMGQQYxBiUGHQYXBg8GAQXsBdAFsAWOBWsFSAUkBQAE2wS4BJUEdQRVBDUEFAP3A+AD1APUA9sD4gPfA8wDqAN4A0QDFgLxAtcCwwKzAqQClwKNAoUCfwJ3AmoCVwI+AiQCCgH0AeABzQG4AaEBhgFqAUsBKgEFANwAsQCIAGQASQA4AC4AKAAfABH//v/m/8v/r/+R/27/RP8T/tz+o/5r/jX9//3G/Yf9QPzz/KX8Xfwf+/D70vvE+8X70vvq/Ar8MPxU/G/8efxr/EX8CvvE+3/7QfsO+uL6tfqC+kb6BPnD+Yn5W/k2+Rf49vjP+KD4bfg3+AL30Peh93b3Tvcp9wr28PbY9sD2pPaC9lj2KvX+9dn1wfW29bP1s/Wt9Z71hPVk9UP1JfUI9Ov0yfSh9HP0Q/QU8+rzxPOh833zWfM18xLy8PLP8q7yjPJr8k3yNPIh8hHyAPHq8c7xrvGP8XbxY/FX8VDxS/FI8UXxQ/FC8UPxQ/FD8UHxPfE38THxK/El8SDxG/ET8Qnw/PDv8OPw3fDe8OPw6/Dv8O3w4vDP8Lfwn/CM8IjwmfDE8QfxWvGt8fDyFvIc8gnx5/HB8ZvxdfFN8SLw+PDX8MTwwfDL8Nrw6PDx8Pfw/vEJ8RnxLPE+8U/xXvFt8X/xk/Gp8b/x0vHh8ezx8fHw8efx2PHC8afxh/Fi8TXxA/DP8J7wePBf8FjwX/Bx8InwovC68NHw6/EK8THxYfGY8dLyCvI68mDyfPKT8qjyvfLR8uPy8PL88w3zKfNQ833zpPO386zzhvNP8x3zAPMD8yXzXvOk8/D0QvSd9Qb1efXt9lb2q/bo9xP3Nvda94L3rPfU9/j4Gvg++Gn4m/jQ+QP5MPlY+YD5rfnh+h36XPqY+tD7Avsx+1/7jvu8++r8F/xC/G38lvy+/OT9C/00/WD9kP3C/fP+Iv5S/ob+vf75/zf/df+w/+0ALQBzALwBAgFAAXMBnAHBAeQCBwImAj0CSgJTAmACeAKgAtIDCAM8A2oDlgPFA/kEMgRrBJ8EzATxBREFLQVEBVcFZAVxBYIFmwW9BeQGCAYjBjIGOAY5BjoGPQZABkMGRAZGBksGVgZmBngGiQaXBqIGqwa0BrwGwwbEBr0GrgaWBnkGXQZHBj4GRAZZBngGlgarBq4GngZ/BlgGMgYWBgUGAAYGBhMGIwY1BkgGXAZ0BpAGsQbTBvMHDAceBygHLwc2Bz8HSgdWB2IHbQd3B4MHkAeeB6kHsge6B8EHyQfQB9UH1wfZB+AH8wgRCDYIVwhqCG0IZghjCHUIowjqCTwJiAnBCd8J5QnVCbcJjwliCTUJDAjmCL8Iigg+B9MHSgarBfwFPgRsA4ACfAF0AI3/7/+3/+cAYgD4AXQBsgGnAWIBBACuAHYAaQCEAL4BDAFhAbMB+QItAkwCWQJXAkwCOgIjAggB6AHFAZ8BdwFOASUA/wDeAMMArwCfAJAAfwBxAGgAawB9AJkAugDWAOwA+wEIARoBLgFCAU4BTAE7AR8BAgDsAOkA/wEwAXoB0AIcAkYCOAHpAWYA0ABN//7/8QAbAGIAqADZAPIA/wEMASIBQAFeAXQBgQGGAY0BmgGtAcMB2AHpAfkCCwIkAkECYQJ+ApcCqgK7AtAC7AMRAz4DbwOeA8UD4gP2BAUEFgQtBEwEcASVBLkE3AUDBTMFbgWwBfUGNQZtBpwGxQbqBwsHJwc4BzsHLwcTBucGqgZbBfsFkQUnBMkEfwRPBDcEMQQ2BD8ESARMBEgEOwQkBAUD5APDA6YDjQN1A14DRgMwAyADGQMeAywDQQNbA3oDngPFA/AEGwRABF4EcQR7BH4EfQR5BHYEcwRyBHMEeQSCBI0ElgSZBJUEhgRvBE4EKAP8A8wDmgNlAzIDAALSAqgCggJgAkICJwIQAfkB4QHIAawBjgFtAUsBKAEFAOIAwQCjAIkAcQBXADkAFv/w/8z/rP+T/4D/bv9Z/z//IP8A/uX+0P7A/rH+nv6F/mf+Sf4t/hf+Af3m/b79hP09/PX8vfym/Lj87v05/YL9s/3C/a/9hP1S/SX9Avzq/Nf8x/y5/K38pPya/Iz8d/xc/EH8L/wt/D38Wfx0/IP8fvxl/EH8Gvv4+937xvuv+5j7g/tz+2z7bPtu+2r7WvtB+yL7BPrt+t760/rJ+r76tPqt+qv6qfqj+pP6d/pT+i36DPn2+ej53/nW+cr5u/mq+Zf5gvlp+Uv5K/kK+Or4zfiv+I/4a/hD+Br38/fP96z3ifdl9z/3Gvb69uD2zfbA9rT2qPaZ9on2d/Zk9lP2Q/Y29in2GvYH9e/11fW+9a71qvWu9bb1ufW19aj1mfWN9YX1f/Vz9Vv1NfUD9M70nvR39Fv0RfQz9CD0DvP88+rz2vPJ87rzqvOd85Dzf/No80bzGPLh8qfycPI+8hTx8fHS8bjxofGN8XnxY/FJ8SrxC/Dt8NTwv/Cs8JvwivB48GbwVPBB8CvwEO/y79HvsO+S73XvWu8+7yHvBO7n7svuse6Z7oLube5b7kvuPe4u7h/uEO4E7f7t/e4D7gvuFO4c7iXuMu5E7lrucO6D7pHumO6d7qLuqO6s7q/uru6r7qnuqe6u7rfuw+7R7uHu9+8S7zPvVu9475fvs+/Q7/DwFvA/8GvwmPDF8PTxKPFh8Z3x2vIW8lHyjvLL8wnzRPN386Hzw/Pk9Ar0N/Rt9Kb03/UW9Uv1gfW49fL2KfZa9ob2rvbX9wX3OPdq95f3u/fW9+/4C/gw+F74kfjD+O75Efks+UL5U/ll+Xj5kPms+c357/oQ+i76S/pt+pv62fsn+4D73Pwz/IP8zv0c/XD9zP4s/o3+6P89/4//4QA6AJ0BCQF+AfoCeQL5A3UD6gRWBLgFEAVeBaEF1AX2BgkGEwYiBkIGewbOBzMHnggACFUInQjdCR8JZgm0CgUKVAqfCuYLKQtsC68L9Qw9DIcM0w0fDWsNtA35DjoOdw6xDucPGg9ND4EPuA/yEDAQbhCoEN4RDxE9EWsRnRHSEgkSQRJ5ErES6xMnE2UTpBPhFBwUVBSJFLwU7RUcFUsVfRW1FfIWNBZ1FrAW4hcIFyYXOxdKF1IXUxdRF08XURdcF20XfheKF40Xhxd8F3IXbBdsF24Xcxd6F4UXlReoF7oXxxfNF8wXyRfHF8kXzBfOF84XzBfMF9IX3hfqF/MX9BfsF+EX1RfMF8MXtxelF5EXfxd5F38XjxegF6kXphecF5QXlxeqF8YX4xf2F/sX9RfqF+AX1xfKF7MXjxdiFzYXFRcHFwgXEBcUFwoW7xbIFpwWdRZXFkUWPRY8Fj4WQRZDFkUWSRZRFmAWdxaWFrgW2BbxFv4W/RbxFt4Wyha5FqwWpBaeFpcWjhaBFnMWZBZWFkYWMxYdFgMV6BXMFbIVlhV3FVMVKRT+FNgUvBSrFKEUkxR5FEwUCxO8E2oTHRLaEqASbRI5EeYRshGCEVcRNBEUEPYQ1BCtEIQQXxBCEDAQKhAqECsQKRAfEA8P+g/hD8cPrg+ZD4oPgA97D3cPcg9pD14PVQ9PD1EPVw9hD2kPbg9wD3APbw9sD2gPYg9ZD00PPw8rDxMO9Q7RDqsOgw5eDjsOGg35DdoNvQ2mDZINgQ1tDVINLAz8DMcMkAxdDC8MBgvhC78LnguCC24LYwtjC2gLbgtwC2kLWQtFCzILIwsaCxQLDAr/CuwK1grACqwKmwqKCngKYwpOCjwKLQofCg4J9QnWCbIJkQl3CWEJTAkuCQUI0AiWCGAINQgVB/wH5AfHB6YHgwdhB0MHJgcJBuoGygatBpYGiQaDBn8GegZuBl0GSwY8BjMGLwYrBiAGCwXpBbwFiwVbBS4FBQTfBLkElARwBFAENAQaBAAD5APHA68DnwOaA58DpgOmA5gDewNRAyQC/ALeAsoCvwK5ArMCrgKnAp4CkAJ8AmECQwIkAggB8AHcAckBtAGcAYEBZAFIASsBDQDrAMUAnAB0AFEAOAApACEAGwASAAL/6//O/67/jf9q/0L/Ev7a/pz+W/4e/ej9tv2E/U39DvzH/H38OfwB+9z7yPvF+8v72fvr/AH8Gvwz/Ef8TfxA/Bv74vue+1n7Gvrj+rD6efo7+ff5sflz+UH5HvkE+Or4yfie+Gj4L/f298H3kvdn90D3G/b79t72xvaw9pn2ffZb9jP2CPXf9b31p/Wb9Zf1k/WI9XP1VfUy9RH09fTf9Mn0r/SN9GP0NvQK8+Pzv/Oc83fzT/Mo8wPy4vLE8qXyg/Jd8jXyEfHz8dzxyPGz8ZrxfvFg8UfxNPEo8R/xF/EO8QTw+vDx8Orw5fDi8N/w3fDc8Nzw3fDd8Nvw1/DO8MHwsfCg8JLwifCI8I/wmvCk8KrwqPCf8I/wffBu8GjwcfCO8MHxBfFR8ZjxzvHt8fTx5vHJ8aDxbvE18PrwxfCd8IjwhvCS8KPws/C98MLwx/DQ8N7w8PED8RXxJvE38UrxYPF88ZzxvvHf8fryDPIS8gzx/PHk8cfxqPGG8WDxNvEJ8NvwsvCR8H3wdvB88IzwofC48M7w4vD58RTxOfFn8Z/x2/IX8k/yf/Kj8rvyxfLE8r3yu/LF8uPzEvNI83jzk/OS83nzVPMy8yLzKPND82zznPPV9Bj0bfTV9Uz1xPYx9oX2v/bk9wD3HvdF93L3oPfJ9+z4Dfgy+GD4lfjL+P35KPlP+Xj5qvnm+in6avqk+tb7Avst+1r7i/u++/D8IfxR/H78p/zM/Ov9B/0k/Uf9cP2h/dX+Cf48/m/+pP7e/xr/Wf+Y/9kAHABkAK0A8wEwAWMBjAGyAdoCBgI0Al8CgAKbArMCzwL0AyADUQOAA6sD1AP+BCwEXQSOBLsE4QUCBR4FOAVQBWcFfgWYBbkF4gYRBj8GYwZ5Bn4GdwZrBmEGXQZeBmMGaQZwBnkGhQaSBqAGrAa4BsMG0AbeBusG9gb5BvMG4AbCBp0GdQZTBkAGQQZYBn4GpwbGBtIGxAahBnMGRAYdBgUF+wX/BgsGHAYvBkMGWAZwBooGpgbCBtoG7Qb5BwEHCgcXBycHOgdKB1YHXwdmB3AHfgeNB5wHpwewB7kHwwfNB9cH3gfkB+4IAQghCEgIbwiKCJYIlwiYCKcIygkACUEJfgmtCcoJ1AnNCbYJkglmCTYJCAjdCK0IaQf+B2IGlQWlBKUDpQKxAc8BBABc/+r/v//jAE0A4AF4AfICPAJQAjkCAQG0AVoA+QCcAE8AHwARACUAUwCPANIBFAFTAYsBtwHRAdYByQGxAZYBfwFrAVYBPgEhAQQA6gDXAMwAxgDEAMQAygDZAPIBEAEsAT4BRAE/ATIBIQENAPkA5QDSAMMAtgCrAKMAoQCvANoBJwGOAfcCOwI7Ae0BYAC/ADr/9P/4ADEAfwDCAOwA/gEHARQBLAFJAWQBdwGCAYwBmQGrAb8B0QHgAewB+wIPAioCSgJqAoYCngK1As0C7AMTA0ADbwObA8AD3APxBAYEHwRABGkElQTBBOsFGAVOBZEF4AYzBn8GuQbcBuwG7wbtBuYG2Aa9BpIGVgYLBbQFUwTpBHkEBwObA0EC/wLYAsoCzQLaAuoC+QMGAxADFQMWAxUDFQMXAx4DKAMyAzoDPwNEA00DXQN2A5UDtwPXA/MECwQeBC4EOwRDBEcERwRGBEQEQgQ/BDsENAQqBCEEGQQXBBkEHgQkBCgEJwQhBBMD/gPgA7kDigNWAyEC7wLDApsCdgJRAi4CDQHuAdQBvAGlAY0BcQFSAS8BCQDiALoAkwBuAE0ALgAR//L/0P+s/4j/af9Q/zz/Kv8V/vv+3f6//qX+kP6A/nP+Yv5M/jH+Ev31/dz9yP20/Zr9cP00/Ov8ovxs/Fn8c/yy/QT9T/19/YP9Yv0q/Oz8ufya/Iz8i/yO/I38hPxx/FT8MvwR+/n78fv9/Bj8O/xY/Gb8X/xG/CL7+/vZ+777p/uR+3r7ZPtS+0n7R/tI+0b7O/sm+wz68PrZ+sf6ufqs+qH6mfqX+pz6pPqq+qf6mfqC+mX6Svo0+iL6Efn9+ef5z/m4+aD5hvlq+Un5J/kG+On40Pi3+Jv4efhQ+CT3+ffS9633ivdo90b3J/cM9vj26fbe9tT2yva+9rD2n/aN9nz2bfZi9lv2VPZI9jT2G/YA9ev14vXj9ev18fXv9eX11vXI9b71s/Wi9YT1WPUj9Oz0vfSZ9ID0bfRc9Ev0O/Qu9CP0GvQR9Abz+fPr89vzx/Op837zRvMG8sTyifJY8jPyFfH88eTxzvG58aXxkfF78WHxRfEp8Q/w9/Di8M7wu/Cn8JTwgPBr8FTwOfAc7/3v4O/E76rvkO9171jvOe8b7v3u4e7G7qvuk+587mfuVO5B7i/uHu4R7gvuC+4Q7hfuH+4m7i7uO+5N7mLudu6G7o/uku6S7pPul+6c7qHupO6m7qjuru647sPuz+7b7uju+O8P7y3vUO9y75Pvr+/J7+XwBfAr8Fbwg/Cz8ObxG/FS8YvxxvH/8jnydPKy8u/zK/Nf84zzs/PY9AH0L/Rk9Jr00PUE9Tf1bPWk9d/2GPZM9nn2o/bO9vz3L/dh94z3rPfE99b37PgJ+C74WfiE+Kv4zPjm+Pv5Dfkg+Tj5V/l/+a753/oK+i36R/pg+oH6s/r6+1D7r/wP/G38yv0s/Zb+Bf50/tz/N/+G/9EAHABvAMoBKwGPAfYCYQLQA0MDuAQnBIwE5QUwBXEFpwXVBfsGHAY+BmcGngbmBzsHlgfvCD4IggjACPwJPAmDCdEKIgpzCsMLDwtVC5cL1wwWDFgMoAzsDTsNiA3QDhIOTw6IDsAO9w8uD2UPng/YEBQQUBCLEMEQ8xEiEVERgxG5EfISLRJoEqIS2xMUE04TiBPBE/sUNBRuFKYU3BUPFT8VbxWkFd4WHhZgFp0W0hb7FxoXMRdAF0kXTBdLF0oXThdZF2kXeReDF4QXfhd0F20XbRdyF3oXgheIF5AXmhemF7IXuhe8F7kXtRe0F7kXwRfJF84XzhfOF9EX1xffF+UX5RfgF9cXzhfHF8AXtRejF4wXdxdqF2sXeBeJF5YXnBebF5oXoRexF8YX2BffF9cXxxe4F7EXtBe7F74XsxeaF3cXUxc2FyMXFhcKFvkW4RbEFqkWmBaSFpoWqha9Fs0W1hbaFtsW3RblFvMXBxcbFyoXMBcrFxwXCBbzFuEW0xbJFsAWtRakFpAWeBZhFk4WQRY5FjEWJRYTFfoV3xXEFawVlhV9FV4VNxUKFN4UuRSfFI0UexRhFDcT+xOxE2ATERLKEooSURIbEdQRqBGBEV8RQxEpEQ4Q7hDIEJ8QdxBXEEMQOBA1EDQQMBAnEBoQCg/3D+IPzA+3D6UPmQ+UD5QPlA+QD4gPfA9xD2oPaA9qD24Pcg92D3gPeg96D3kPdg9yD20PZw9eD1APOA8WDuwOvQ6PDmMOPA4XDfUN1g26DaMNkA19DWcNSQ0hDO8Mtgx7DEEMCgvZC60LiAtsC1wLWQtjC3cLjgugC6kLpQuYC4ULcwtkC1ULRQswCxUK+grgCswKuwqqCpYKfQpjCksKOQosCh8KDgn0CdQJsAmMCWsJSQkkCPkIyAiWCGkIRAgmCAsH7wfPB6sHhwdkB0UHJgcHBuYGxgaqBpcGjQaJBocGgAZzBmEGUAZCBjsGOAYyBiMGBQXYBaAFZQUvBQAE2AS0BJEEbARHBCYECwPzA94DxwOuA5YDhAN6A3kDegN2A2gDTAMoAwEC3gLEArICqAKjAqACngKZAo8CfQJhAj8CGgH5Ad8BzAG8AasBlQF6AVoBOQEbAP4A4gDEAKMAgABdAD8AJgAVAAoAAP/z/+H/yf+t/47/bv9L/yH+7v6w/m3+Kf3q/bT9hf1X/ST85/yi/Fv8Gvvp+8z7wvvF+8772Pvi++z7+vwL/Bv8IvwY+/j7wvt++zX67/qw+nX6OPn2+bH5bfk0+Qn46vjR+LX4j/hd+CL35vet93z3Uvct9wz27vbU9r32qvaX9oL2aPZK9ib2AfXe9cD1qPWX9Yr1e/Vn9Uz1K/UK9O702fTJ9Ln0ovSC9Fn0LfQC89zzvPOc83nzUPMk8vry0/Kx8o/yavJA8hPx6vHH8a7xm/GI8XPxWfFA8SnxGfEO8QTw+fDq8NjwxvC38K3wpvCi8KDwofCl8Krwr/Cy8LHwrPCj8JXwg/Bx8F/wUvBL8EzwUfBZ8GDwY/Bj8GDwXvBf8GTwcfCJ8K3w3fEV8VDxhfGs8cDxvPGj8XXxOvD38LfwgfBf8FDwU/Bg8G7wd/B58HjwevCD8JXwr/DM8OnxA/EX8SnxPfFW8Xfxn/HK8fHyD/Ie8h/yE/H/8efxzfG08Zjxe/Fb8TfxEvDt8M3wtfCp8KrwtfDH8Nrw7PD98RDxK/FR8YPxvvH98jvycfKZ8q3yrvKj8pbylfKr8tjzEfNG82PzYfND8xvy/vL68xTzRvOD87/z9/Qx9HX0yfUr9ZP19fZG9oD2qfbK9u33F/dK93/3sPfY9/n4GvhA+G/4o/jX+Qb5L/lV+YD5tvn1+jj6ePqu+tr7Afso+1X7ifvB+/n8MPxk/JL8ufzY/O38/f0O/Sf9TP19/bb97/4m/lv+kP7H/wP/Qf+B/8IABQBMAJUA2gEYAUoBdAGbAccB/AI3AnMCqALUAvgDGwNBA2sDmQPGA/IEGwRFBHIEoATNBPYFGgU4BVMFbQWIBaYFxgXsBhgGSQZ6BqQGvwbGBrkGnwaCBmoGXwZgBmsGfAaPBqIGsQa9BscGzwbYBuMG8AcABw8HGQccBxUHBAbpBsYGngZ7BmMGXgZvBpAGuAbYBuQG2Aa1BoQGUQYkBgUF9wX2BgIGFAYqBkEGWAZvBoUGmwawBsAGzQbWBt8G7Ab/BxcHLwdCB00HUwdYB2EHcAeCB5QHoQerB7QHvgfLB9kH5QfvB/sIDggsCFUIfwiiCLcIvwjDCM4I6AkQCUAJbwmTCakJsQmrCZkJewlVCSoI/AjICIAIFQd1BpoFjARfAzACFQEhAF7/0/+I/4P/yABKAO8BlwIiAn8CrwK8ArYCogJ8AjsB2AFYAMwASf/g/5v/ef94/5T/ywAcAHwA4QE5AXkBnwGxAbgBuQG2AakBjwFrAUQBJAERAQkBBgD/APIA5ADbAN8A7QEBARMBHgEgARwBFAEKAP0A7gDgANgA1ADRAMYAsgCdAJoAvwETAYgB+wI8AioBwgEjAIIAE//vABIAXACoANwA9AD5AP4BCwEkAUEBXAFxAYUBmQGvAcQB1QHfAeYB7wH/AhkCOgJcAnwClwKvAskC6AMPAz0DbQOcA8QD5QQDBCIESQR7BLYE+AU5BXkFuAX7BkEGhga9BtoG1QavBnUGNAX5BcYFlgVfBRgEwQRcA/ADggMVAqwCTAH6Ab4BnQGWAaYBxAHoAg0CLwJQAm4CigKkAr4C2gL6Ax4DRANpA4kDowO6A88D5wQABBsEMgREBE8EUwRTBE8ESAQ/BDUELAQjBBsEEwQLA/8D8QPfA80DvwO0A7ADrgOvA68DrQOqA6UDnAOLA3EDTAMgAvMCyAKjAoMCYwJCAh4B9wHSAbIBlgF9AWUBSgErAQkA5AC9AJUAawBBABn/8//Q/67/jf9r/0v/LP8Q/vf+3/7H/q3+lP57/mT+Uf4//iz+Gf4D/er9z/20/Zv9h/11/WP9SP0d/N78k/xJ/Bf8Dfwz/H782P0k/Uv9Rf0X/NX8lPxk/Ev8SPxP/FT8UPw9/B379/vU+777ufvH++T8Bfwh/C/8Lfwc/AL75PvJ+7D7mfuB+2n7UvtA+zP7Lvsr+yf7HfsM+vj65PrT+sf6vPqx+qX6mvqS+pD6lPqZ+pv6mfqR+of6e/pu+lz6Q/oj+f752fm4+Zz5hPls+VP5OPkf+Qb47vjT+LH4iPhZ+Cn3/PfT9673jPdr90z3Mvcf9xH3B/cA9vj28Pbn9t320fbD9rX2qfah9p/2nvaY9or2cvZU9jj2JfYd9h72IPYc9hH2AfXy9eX12PXG9aj1fvVM9Rz08/TV9L/0rPSY9IH0bPRd9FT0UfRP9En0PfQs9Bbz+vPV86XzavMp8ujyrvKA8lzyQPIn8g7x9fHf8czxuvGp8ZXxf/Fm8U3xNfEe8Qjw8fDc8MbwsfCa8IHwY/BE8CTwBu/r79PvvO+j74jva+9O7zLvFu777t/uw+6o7o7udu5f7knuNu4l7hvuFu4X7hvuIe4o7jHuPu5P7mLuc+5/7oXuhu6G7ojujO6S7pnunu6j7qnuse687sju0u7a7uLu7O797xjvOu9h74jvq+/J7+bwBfAo8FHwf/Cx8OTxGfFO8YPxufHv8ifyYPKc8tfzEvNH83fzo/PN8/r0K/Rh9Jn0z/UD9Tb1avWf9dX2CfY69mf2kva+9uz3GvdF92n3hved97T30ff1+B74SPht+Iz4pfi5+Mv43vj1+RH5Nvlk+Zr50voF+i36S/pk+oH6rPrq+zz7m/wE/HL86P1k/eX+Zf7c/0H/lf/eACQAcADEARwBcQHAAgoCVwKwAxgDjAQCBG4EygUUBVIFigXBBfoGMgZqBqAG2AcVB1cHngfmCCsIagimCN8JHAldCaUJ8wpGCpsK7gs7C4ALvwv6DDcMegzEDRENXg2kDeUOIA5ZDpMOzg8LD0cPgw++D/oQNxB0EK8Q5hEbEU8RhBG7EfQSLRJmEp4S1RMLE0ETeBOvE+YUHhRYFJMUzBUBFTQVZRWZFdQWFBZXFpYWzBb2FxYXLRc8F0UXSRdIF0YXSBdPF1wXaxd2F3oXehd4F3oXghePF5sXoxemF6UXphepF68Xsxe1F7MXsBexF7cXwRfMF9UX2RfcF98X5BfqF+4X7RfnF90X0hfHF7wXrReZF4MXbhdjF2YXdheMF6EXrBeuF6sXqResF7MXuRe4F64XoBeVF5cXphe+F9UX3xfVF7gXjRdfFzUXExb6FugW3BbWFtgW4xb5FxYXNhdTF2kXdBd2F3QXchd0F3kXfRd8F3EXWhc8FxoW/BbkFtQWyBa+FrIWoRaMFnMWWhZEFjMWKRYkFh0WEhX+FeQVxxWtFZoVjRV/FWwVTRUkFPUUxhSfFH8UZRRIFCET7ROrE2ATEBLDEn0SPhIGEeERuxGZEXsRYBFFESoRDBDqEMQQoBCAEGkQWxBSEEwQRBA7EDAQJhAbEA4P/Q/oD9IPwQ+4D7UPtw+4D7UPqw+eD5IPiQ+GD4cPiw+RD5cPmw+cD5kPkw+ND4oPig+MD4oPfg9jDzkPBg7ODpkOaQ4+DhcN8g3ODa4NlA1+DWsNVg07DRcM5wytDG0MKgvqC7ELgwtiC1ILUwtjC4ALogvBC9YL2wvTC8ALqAuPC3YLXQtCCyULCwr1CuUK2ArKCrUKmgp8CmAKSgo7CjAKIgoMCesJwgmUCWYJOQkOCOMIugiSCG4ITQgvCBEH8QfOB6oHhgdlB0QHJAcDBuMGxgavBqEGmgaVBpAGhgZ3BmYGVwZMBkYGQAY1Bh4F+AXEBYcFSgUUBOgEwwSjBIIEXgQ6BBgD/APlA9EDvAOmA48DewNtA2UDXwNWA0UDLAMOAu4C0AK2AqACjQJ9AnICagJkAlsCSgIxAhAB7gHQAbkBqQGbAYsBdAFWATQBEADvANAAtACYAHsAXgBAACQAC//1/+L/0f+//6z/mP+C/2v/Uv80/w3+3P6g/l/+Hv3h/az9fP1L/RP80fyI/ED8AfvU+7v7tPu4+7/7xPvH+8v70vvf++v78Pvk+8L7ivtD+vb6rvpt+jL5+Pm8+X35QfkL+OD4vvif+Hv4TvgX99r3n/dq9z73Gfb79uD2yva39qf2mfaK9nb2XvZA9iH2APXh9cX1q/WT9X31aPVQ9Tf1HfUD9O302/TL9Lj0nvR69E30HfPv88nzqfOM82vzRPMY8unyvvKW8nDySvIg8fXxzfGs8ZTxgfFu8VnxQPEo8RXxCPEA8Pjw6/DZ8MLwrPCa8I3whPB/8H3wfvCC8InwkPCU8JTwj/CF8HjwafBY8EbwNvAq8CTwJPAo8C3wM/A58EDwS/Bb8G/whfCc8LPwzvDu8RPxOvFb8W7xbfFT8SPw4/Cg8GTwOPAh8BzwJPAw8DnwOvA28DHwMvA98FTwdfCb8MDw4PD58Q7xIfE68Vrxg/Gu8dfx9vII8g3yCfH/8fPx5/Hb8c7xwfGw8ZzxgvFg8TvxFvD48Obw4fDl8PDw/PEJ8RnxMfFS8XzxrfHi8hXyQvJl8nnyf/J98n7yjfKw8uLzFfM28zfzGfLq8sLytvLS8w/zXvOw8/n0O/R89MP1EvVk9bL19PYp9lb2f/as9uD3GPdR94f3tvfe+AP4KPhR+ID4sfji+Q75Nvle+Yn5vfn5+jn6dvqr+tf6/vsn+1f7jvvL/Ar8Rvx8/Kz80fzs/P39CP0V/Sz9UP2D/b/9/f44/nD+pf7b/xP/Tf+J/8gACQBQAJoA4wEjAVgBgwGqAdMCBAI9AngCsALgAwoDMANZA4UDtQPkBBIEPgRqBJgExwT1BR8FRAVlBYQFpAXGBesGEgY8BmkGmAbFBukG/Qb8BuYGwgaaBnkGaAZnBnYGjQanBr4GzwbbBuMG6gbzBv8HDQcbByYHLActBygHHgcNBvYG2ga+BqcGnAafBrEGyQbeBuUG2Qa6Bo0GWwYuBgsF9wXzBf0GEAYoBkAGWAZtBoEGlQanBrcGxAbPBtoG6Ab8BxMHKQc5B0IHRwdMB1gHageBB5YHpQevB7gHwwfSB+MH8wgACAwIHgg7CGEIjQi0CNAI3gjlCO4JAQkfCUQJaAmDCZIJkwmGCW4JTQkoCP8I0AiQCC8HmgbFBbIEcwMlAekA1//+/2b/E/8M/1P/4wCnAX0CPALFAwwDHgMUAwQC+wLvAtECkQIrAakBGwCQABP/qf9W/yD/E/8z/4D/6wBjANQBNgGDAb8B6QH/AfwB4gG4AY0BbAFbAVMBSQEyAQ0A4gC/AK4ArwC6AMgA0wDeAOwA/gEOARYBDwD+AOsA4QDfAN4A0wC7AKIAogDQAS8BpQIEAiAB5AFhAMUARgAKABgAWACiANoA9AD3APcA/wETAS4BSQFfAXEBhAGZAa0BvAHGAc4B2AHtAg0CNQJfAoUCpQK/AtoC+AMeA0wDfwOyA+QEEgQ+BG8EqATrBTgFhwXUBhkGVQaHBqsGuwaqBnAGDAWJBPsEdgQKA7kDfANEAwYCvQJsAhgByQGAAUABDADoANkA4QD/AS4BaAGlAeMCHgJXAosCuwLmAw0DMwNaA4QDrwPXA/sEGQQyBEYEWARnBHMEegR8BHkEcgRoBF0EUgREBDYEKAQYBAkD+APmA9IDvQOoA5QDgwN3A20DYwNXA0sDPQMyAyoDJAMcAw4C9wLWArICjgJuAlMCOQIcAfoB1QGvAY4BcQFXAT0BIAD/ANsAtgCQAGoAQgAY/+7/xv+f/3v/Wv85/xn++f7Z/rn+mf58/mD+Sf42/iT+Ev39/eT9yv2w/Zn9g/1t/Vf9Qf0v/SD9EPz2/Mr8ifw7+/L7xvvH+/j8S/yn/PD9Ev0G/Nb8lPxU/CP8CPwA/AP8Bfv9++n7y/uq+5D7g/uG+5b7rvvF+9b73/ve+9b7yPu3+6X7kft8+2j7VftG+zn7L/sl+xj7CPr2+uX62PrR+s76zfrH+rz6rfqd+pD6h/qD+oP6hfqI+o36kfqP+oP6afpD+hX56PnB+aP5jPl5+Wf5VflB+Sv5Efjv+MT4kfhc+Cv3//fb97n3mfd591z3Rfc29y/3Kvcm9x/3F/cP9wj3Afb59vD25/bj9uL24/bh9tb2wPah9oL2afZa9lP2TvZF9jX2I/YR9gP19/Xo9dH1sPWI9WL1QfUn9RL0+/Tg9MP0qPSU9Ir0h/SE9Hv0avRR9DL0DvPk87TzffNC8wjy1PKp8ofya/JS8jvyJvIS8gHx8PHf8cvxtvGe8YbxbvFW8T7xJfEN8Pbw4PDK8LDwkvBw8E7wLvAT7/zv5+/Q77fvnO+A72TvSe8u7xLu9e7X7rnune6D7mruU+4/7i/uJO4e7h7uIu4p7jTuQu5S7mHube527nvufu6A7oTuiu6S7pjunu6i7qburO607r7ux+7P7tbu3+7t7wTvJe9O73nvo+/J7+rwCvAt8FTwgvC08OjxHfFS8YfxvPHz8iryY/Kd8tbzDvND83XzpPPT9AL0NPRp9J701PUI9Tv1bfWf9dH2AfYw9l32iva19t/3Bfcl9z73Vvdw95P3wvf5+DH4ZPiL+KX4tvjE+NT46PkA+R75Qvlq+Zj5yfn5+iX6TPpx+pv6z/sT+2b7xvwy/Kj9J/2v/jj+uf8p/4T/zgARAFkArgELAWoBvQH/AjQCagKuAwkDdwPtBFoEtQT6BTIFaAWkBeoGNAZ+BsMHAQc6B3EHqAfiCBwIVgiRCM0JCglICYsJ0wogCnEKxQsWC2ELpQvkDCIMYgynDO8NNg15DbYN8A4qDmgOqQ7sDy4PbQ+rD+oQKRBpEKkQ5hEfEVURihG+EfMSJxJbEo8SwxL6EzETaROfE9QUCBQ9FHMUqhThFRYVSxWEFcIWBBZHFoUWuhbjFwIXGhctFzwXRhdJF0gXSBdMF1UXYhdtF3UXehd/F4YXkxeiF68XtRe0F68XqxeqF64Xsxe4F7oXvBe/F8UXzxfbF+UX7RfyF/cX/BgBGAMYARf5F+sX3BfLF7sXqReWF4MXcxdsF3IXhBecF7EXvBe7F7EXpBebF5gXmReaF5cXkhePF5QXpBe8F9MX4BfaF74XkhdeFysXBBbrFuIW6Rb8FxkXPBdjF4gXqRfAF8wXzRfIF8AXuxe5F7cXsRehF4UXXxc0FwwW6xbRFr4WrRacFosWeRZnFlYWRBYzFiQWGBYPFggV/BXqFdEVtRWbFYkVfxV5FXAVXRU8FRAU3hSuFIMUXhQ7FBYT6BOvE2oTHhLQEoYSRhIPEgIR3hG9EZ0RfxFkEUoRMREWEPcQ1RC1EJoQhRB3EGwQYRBXEE8QSBBEED0QMRAfEAkP8w/kD94P3w/hD+EP2g/PD8MPuQ+zD7MPuA/AD8gPzg/PD8kPvw+zD6wPqw+wD7UPrw+bD3UPQg8JDtEOng5xDkYOHA3xDccNoQ2BDWoNVw1GDTANDwzgDKQMYAwZC9gLowt+C2sLawt7C5cLuQvZC/AL+AvxC9wLvgueC30LXgtCCykLFQsGCvwK8wrnCtQKuQqaCnsKYgpPCkAKLgoVCfEJxAmRCVwJKQj7CNEIqgiHCGQIQggfB/sH2Qe5B50HgwdpB04HMQcSBvUG3QbMBsAGtwauBqMGlAaFBncGbAZkBlsGTwY5BhcF6gW0BXoFQgURBOgExgSmBIcEZARBBCAEAwPqA9QDvQOmA48DegNqA10DUQNEAzMDHgMHAvAC2ALAAqQChgJnAkwCOAIrAiACFAICAeoBzwG2AaEBjwGAAW0BVgE5ARcA9ADRAK8AjwBxAFUAOQAfAAP/6P/M/7H/mf+D/3D/X/9Q/z//LP8U/vP+yP6V/l3+I/3s/bj9hP1L/Qr8wPxy/Cf76fu9+6X7nPuc+5/7ovuj+6b7rfu3+737ufuj+3f7OPrt+qH6XPoh+e75vfmK+VT5Hfjp+Lz4lPht+EL4D/fX95z3Zfc19w/28PbY9sT2tvaq9qH2l/aJ9nX2W/Y89hz1/PXd9b71oPWE9Wr1VPVB9TH1IfUP9Pv05vTP9LT0k/Rq9Dr0B/PX863zi/Nt807zKvMA8tPyp/J+8lfyMPII8d/xuvGb8YLxbvFZ8UDxJvEN8Prw7/Do8OHw1fDD8K3wmPCI8HvwcfBo8F/wWvBa8F7wZPBp8GnwZfBf8FbwTPA/8C/wHvAN8AHv/O/+8ATwDfAY8CbwOvBT8G/wivCg8K7wufDE8NTw6fD+8QzxCfDy8MbwjvBV8CbwCO/+8ALwDfAY8B3wHfAb8BvwIfAw8EXwX/B88JbwrvDC8NTw5/EA8SDxRvFt8Y/xqPG48cLxyfHQ8djx3/Hj8eTx4/Hg8drxzvG48Znxc/FN8S7xGPEM8QjxCfEQ8R7xM/FO8W/xkfGz8dXx9vIW8jLyR/JX8mfyfPKb8r7y3PLn8tvyvvKi8pnysfLr8znzjPPY9Br0WfSc9OT1LfVw9aj11fX99in2XfaX9tL3Cvc992z3m/fM9/74L/he+In4s/jd+Qf5Mflc+Yn5u/ny+i76avqj+tb7Bvs2+2v7pvvm/Cf8ZPya/Mj87v0L/SL9N/1P/W/9m/3R/g/+T/6M/sX++/8u/2H/lf/KAAMAQQCGAM4BFgFWAYsBtQHXAfoCIQJPAn8CsALcAwYDMANcA4sDuwPqBBcEQQRsBJkEyAT3BSMFTQV0BZwFxgXyBh4GSAZvBpYGvQbjBwUHGwcgBxEG8QbJBqYGkAaLBpYGqgbABtMG4AbpBvIG+wcIBxYHIwcvBzcHOwc9BzwHOQcyByYHFgcCBu8G3wbYBtkG4AbnBucG3QbFBqEGdQZIBiEGCAX/BgUGFgYtBkQGWQZsBn8GlQasBsMG1wbmBvIG/QcLBxkHJwcxBzYHOgdCB1IHaAeCB5kHqwe2B8EHzgfhB/UICAgXCCQINQhPCHQIoAjJCOkI/AkGCQ8JHQkzCU8JbAmECZAJjAl2CU4JGwjjCK0IdggyB8sHKQY+BQ8DtgJXARsAG/9k/vf+0v71/2AADQDnAc4CmgMqA3UDhQN2A2ADUQNGAzIDBwLAAmAB8AF6AP4Afv/9/4X/Kf73/vn/Lv+I//gAcADkAUwBoAHXAe4B6QHWAcUBwgHMAdgB1gG7AYcBSgEUAPAA3QDRAMMAswCqALAAxwDmAPwA+QDeALoAoACbAKgAtwC4AKwApAC6AP4BYwHFAfkB4AF+APcAfwA/AEIAdgC4AOoBAQEEAQMBCgEdATUBSAFSAVYBWwFmAXUBhwGZAawBwwHlAhECRAJ4AqgCzwLwAw8DMQNZA4kDvwP6BDUEcASqBOUFIgViBaMF3wYQBjAGPQY0BhQF2AV5BPMETQOUAt8CQwHNAYABUAEwARYA+gDgAMoAvAC1ALUAvADLAOYBDwFEAYIBxgIMAlICmALbAxoDUQN/A6QDwwPgA/wEGAQyBEoEXQRuBHwEhgSOBJEEkASMBIUEfQRzBGcEWQRKBDkEJwQUA/8D6QPSA7oDogOMA3cDZQNUA0MDMAMbAwMC6gLVAsUCvAK2Aq4CnwKIAmoCSwIuAhMB+gHeAb8BnQF7AV0BQwErARIA8wDRAKsAhABfADoAFf/v/8j/of97/1f/NP8S/vD+zv6s/oj+ZP5B/iL+Cf31/eX91P29/aH9gf1k/U39Of0m/RD8+Pzh/ND8xfy6/KP8d/w0++b7ovt++4b7uvwM/GP8qPzK/MP8mfxa/Bf74fvA+7T7tvu7+7f7pfuI+2f7TPs9+zv7RPtV+2n7ffuP+5z7ovuh+5r7jfuA+3P7Z/te+1P7Rfsz+xv7Afrp+tX6yvrI+sv6zvrN+sT6tfqj+pH6gvp3+nD6bfpv+nb6f/qG+oT6dvpc+jr6Fvn1+dj5vvmk+Yr5cflY+UD5I/j++ND4m/hm+Df4Effy99b3ufeZ93z3ZfdY91L3UPdO90j3P/c49zL3Lvcr9yj3JPch9yD3IPcc9xD2+vbd9sD2qPaZ9pD2iPZ79mn2U/Y+9i32IfYV9gT17PXO9a31j/Vz9Vr1QPUl9Qn08fTf9NP0yfS89Kf0iPRi9Df0DPPg87Lzg/NS8yHy9PLO8q7ylvKC8nLyZfJY8kryOfIk8gvx8fHX8b7xpfGM8XHxVfE58SHxC/D28N/wxPCl8IPwZPBI8DHwHPAF7+vvze+u75Dvc+9X7zvvHu8A7uHuw+6o7o3ude5e7kruO+4w7izuL+447kXuVO5j7m/ud+577nzufe5+7oDuhe6L7pDule6Y7pnum+6e7qTuru667sbu1O7k7vrvGO8+72rvl+/B7+bwCfAs8FTwgvC28O3xJfFc8ZPxzPIH8kLyffK28uzzIPNT84XztvPm9BT0QvRw9J70zfT99S71YfWT9cb1+PYp9ln2h/ax9tb28/cK9x33NPdV94b3x/gR+Fr4mPjE+N/47/j8+Q75KPlH+Wj5iPmn+cT55PoH+i/6XvqV+tb7IPtz+838LPyQ/P39cv3t/mn+2/87/4n/ygAMAFkAtwEgAYkB5AIrAmACkwLSAyQDhwPwBFEEnwTaBQwFPwV9BcgGHQZzBsUHDQdLB4IHtAfjCBQISAiACLwI/Ak8CXwJvQoBCkkKlgrnCzcLgwvKDA0MUAyTDNUNFw1UDY8Nyg4GDkcOjA7RDxUPVg+WD9UQFhBXEJcQ1BELET8RcBGhEdASABIvEl8SkxLLEwUTQBN3E6oT2RQHFDcUaRSeFNUVDxVMFY0V0BYSFkwWfRakFsUW4hb/FxsXMRdAF0cXSRdMF1MXXBdmF24Xcxd3F34XhxeTF50XoRehF5wXmReZF58XpxewF7gXvhfFF84X2hfmF/EX+hgAGAQYCRgMGA0YCRgAF/EX3xfNF7wXrBecF44Xghd8F38XiReZF6cXrxetF6MXlheMF4kXjBeRF5QXkxeQF44XkReZF6EXpBebF4MXYBc2Fw8W8hbkFukXABcmF1UXhxe0F9cX6xfwF+cX1hfEF7cXshe0F7gXtRelF4cXXxczFwsW6hbPFrcWnxaHFnIWYhZVFkoWOxYoFhIV/xXxFeoV5RXcFcoVsBWTFXsVbhVpFWcVXxVLFSgU+RTFFJIUYxQ4FBAT5ROyE3UTMBLnEqASYRItEh0R+BHWEbURlRF7EWURUhE9ESMRBBDiEMMQqxCbEI8QhRB7EHIQbBBpEGUQXxBSEEEQLxAhEBsQGxAeECAQHRAWEAwQAQ/6D/UP9Q/5D/8QBBAGEAAP9Q/mD9kP0Q/PD84Pxg+zD5EPZA8xDv4Ozw6kDnwOUg4nDfoNzA2iDX8NZQ1QDT4NJw0FDNUMmQxWDBcL4gu8C6gLpguxC8UL3wv3DAcMCwwBC+kLxwuhC3sLWgs+CykLGwsSCwwLBQr5CuYKzQqwCpMKeAphCksKNAoXCfIJxgmUCV8JKwj6CMwIogh5CE8IJAf4B9AHsAeaB40Hhgd+B3EHXAdEBywHFwcHBvoG7AbbBscGsgahBpUGjQaDBnQGWgY2BgkF1wWjBXEFQwUaBPYE1wS4BJkEeQRZBDgEGgP+A+QDywOyA5oDhQNxA2ADTwM+AysDGAMGAvYC5gLSArcCkwJsAkQCIgIJAfcB6QHaAckBtgGiAY0BegFnAVIBOwEgAQIA4AC7AJQAbwBMAC0AEf/2/9r/u/+b/3r/Xf9E/y//Hf8N/v3+6/7V/rn+l/5u/kH+Ev3i/bH9e/09/PX8pvxU/An7y/ue+4P7dvty+3T7ePt/+4n7lPub+5r7iftk+yz65fqa+lL6FPnh+bP5hflV+SD46/i4+Iv4Yfg2+Aj31Pec92T3MvcJ9un20vbB9rf2sfat9qj2oPaR9nr2XfY79hj19vXU9bL1kPVw9VT1QPUz9Sr1IfUT9P704/TD9KH0fPRU9Cfz9/PI853zePNX8zjzFvLw8sXymvJv8kbyHfH08crxpPGE8WrxVPE+8SXxCfDu8NfwyPC+8LXwqvCd8I/wg/B68HHwZ/BZ8EjwOvAx8C/wMfA08DTwMfAs8CfwIfAY8Ajv8u/b78fvve++78fv1u/o7/3wFvA08FPwb/CE8I/wkvCT8JfwoPCt8LbwtPCi8ILwWfAy8BbwCvAL8BXwH/Al8CfwKPAr8DTwQvBS8GHwbPBz8HfwevB+8ITwjvCf8Lfw1fDz8Q7xJfE58U3xZPF/8ZzxtPHF8c7x0vHV8djx2PHT8cTxrPGQ8XPxWfFD8TPxKfEl8SnxNfFH8Vnxa/F98ZTxs/HX8fzyGvIs8jLyM/Iz8jjyPvJF8kryVvJw8qHy6PM684rzzPQA9C70YfSe9OP1KPVh9Y71tfXg9hX2U/aR9sf28fcW90H3ePe7+AH4QPhx+JT4svjS+Pr5Kflc+Y75wfn2+i/6bfqs+uj7IftY+5H7z/wO/Ez8hfy0/N39A/0p/VL9gP2y/ej+If5d/pr+2P8U/03/g/+1/+UAEwBDAHUAqwDnASQBYAGWAcMB5wIHAicCSgJyApwCyAL0AyADTgN9A6wD2QQCBCgETQRzBJ0EygT3BSQFUAV+Ba4F4wYYBkoGdQaYBrYG0wbyBxMHLwc9BzgHIAb9BtoGwAa3BrwGygbaBucG8Qb6BwQHEAcfBywHOAdBB0oHUgdaB18HXwdZB04HPgctBxwHDQcBBvkG9QbzBvEG7AbdBsMGnQZwBkYGJgYXBhgGJgY6Bk0GXgZuBoIGmga4BtYG8AcDBxAHGAcgBycHLQcxBzMHNwc/B08HZgeAB5cHqge5B8gH2gfxCAkIHggvCD4IUAhqCI4ItwjfCP8JFQkiCSkJMgk+CVEJaQmCCZQJkwl2CTgI4Ah7CBwHyweCBycGnAXIBKkDVgH6AMX/2f9F/wX/Dv9U/88AdQE7AggCwANMA6IDxgPKA8ADswOgA4MDVAMUAscCdgIjAckBYADmAF7/2P9l/xj++P8I/z7/kf/0AFkAswD5AScBRQFiAYwBzQIdAmsCnwKqAo4CVgIVAdcBngFkASQA4wCuAJYAnQC4ANAA0QCzAIYAYQBXAGoAiwCnALUAvQDWARABZgG9Ae8B3QGKARIApQBnAGUAjwDEAOkA9QDxAO4A+QERASwBPQFCAT8BPQFGAVsBegGeAcMB6wIZAk4ChgK/AvMDIgNKA3ADmAPEA/cEMARuBKsE5QUWBT0FXAVyBX4FfwVuBUkFDgS+BFkD4gNYArwCFgFyAOEAcQAoAAT//AAEABUALABLAHMApADaAREBRwF9AbQB7QIoAmICmwLTAwsDQwN7A68D2wP+BBgEKwQ5BEYEUARZBGEEaARxBHoEgwSJBIwEiwSIBIMEfARyBGMEUgQ+BCoEFwQEA/ED2wPEA60DlQN+A2gDUQM7AyMDCwLyAtcCvAKiAosCegJtAmECUwI+AiUCCgHuAdQBuQGdAX0BXAE7AR8BBwDwANgAvACbAHgAUwAwAA3/6f/F/6H/fP9Y/zT/D/7p/sX+ov6A/l/+O/4V/fH90f25/ab9lf2A/WT9Q/0k/Qr89vzi/Mv8sPyU/H78cfxs/GT8Tvwi++P7nfth+0H7Rvtv+7L7//xC/Gr8bfxL/A/7zfuY+3r7c/t6+3/7d/tg+z77Gvr++u366Prw+wH7G/s7+1z7ePuL+5T7k/uM+4T7fPt0+2n7WPtB+yX7Bvrp+tL6xPq9+rz6vPq5+rP6qPqc+pH6hvp6+mz6X/pU+lD6U/pc+mj6cfp1+nP6bPpd+kb6JPn3+cX5lPlq+Un5K/kK+OP4tfiF+Fn4NvgZ9//34/fE96X3jfd+93f3dfdz93D3a/dm92T3ZPdl92b3Zvdm92X3YfdY90f3LvcS9vf25PbZ9tP2zvbD9rH2m/aE9m/2YPZT9kT2L/YU9fP10PWu9Y71dPVe9U31QPUz9SP1DfTt9MT0k/Rg9C70APPW863zhfNd8zbzEfLx8tbywvK08qvypfKe8pXyhvJw8lXyOPIb8gHx5/HM8a3xi/Fq8UzxM/Ee8Qrw8/DY8LrwnPCB8GnwUfA38Brv+e/W77TvlO9371vvP+8j7wbu6e7N7rPunO6G7nPuZO5Y7lLuU+5c7mnueO6F7o7uku6Q7ovuhe5/7nrueO557n3ugu6H7onuiO6H7onuke6f7rLuxu7c7vTvEe8272Hvju+67+HwBfAp8FPwg/C68PXxMPFq8aTx4fIg8l/ym/LT8wXzNPNk85TzxfP19CL0SvRw9JX0u/Tm9RX1R/V79bD14/YV9kT2b/aX9rn21vbv9wn3KfdW95L33fgu+Hz4vfjs+Qr5H/k0+VH5dvmh+cv57/oJ+hv6LPpC+mP6lvrb+y77i/vp/EX8nPzx/Uj9pf4I/m3+zP8e/2T/o//mADUAlAD/AWsBzQIfAmUCqQLzA0gDpQP/BE0EiwS8BOoFHgVeBawGBAZgBroHDQdWB5UHyQf0CBsIRAhzCKoI6QkqCWsJqgnoCikKcAq8CwwLXQusC/cMPgyDDMUNBA1ADXsNtg3yDjEOcg6yDvAPLQ9oD6YP5RAkEGEQmhDPEQARMRFhEZERvxHtEhwSThKGEsES/RM1E2YTkhO7E+YUFBRGFHwUthTzFTMVcxWxFekWFxY9FmAWhBarFtMW9xcSFyMXLRc0FzwXRxdSF1oXXhdgF2MXaBdvF3YXexd8F3sXehd9F4UXjheZF6QXrxe7F8gX1RfjF+4X9xf9GAIYBhgJGAkYBhf9F/EX4RfRF8IXtBenF5oXjheDF3wXehd+F4QXiheNF40XixeKF40XkReTF5AXhxd4F2kXWxdSF0sXRRc8Fy8XHRcIFvUW6RboFvcXGBdIF4EXuRfmGAEYBRf2F9kXtxeaF4wXjReaF6oXsxerF5IXaxdAFxkW+RbfFsYWrBaRFnkWZxZaFksWNxYbFfwV4hXUFdIV1hXWFcgVrBWIFWcVUhVOFVMVVxVRFToVERTcFKEUZxQzFAQT2BOqE3UTOBL2ErUSeRJHEikSBhHkEcQRpRGKEXYRZBFRETkRGxD6EN0QyBC7ELQQrRCkEJsQkhCNEIsQiRCEEH0QdBBuEG0QcRB3EHwQfRB6EHQQahBeEFIQRxA/EDsQPBA+EDwQNhApEBkQCQ/5D+oP2A/AD6EPfA9TDykPAA7aDrYOkw5vDkoOIA30DccNnw19DWENSA0rDQMM0QyXDF4MLQwLC/gL8wv5DAUMEgweDCQMIQwRC/YL0QunC34LWgs/Cy0LIwsdCxcLDgsACusK0wq5CqAKhwpwClkKQAojCgIJ2wmtCXsJRgkQCNsIpwh0CD4ICAfVB6oHjweHB44HnQerB7AHqAeWB4AHawdZB0cHMwcaBv8G5AbPBsAGswajBogGYAYuBfcFwQWRBWcFQwUjBQQE5wTLBLAEkwR2BFcEOAQZA/wD4gPJA7EDmwOEA20DVQM9AyUDDwL9Au4C4QLTAr4CoQJ8AlICKAICAeIByQG2AaUBlAGCAW4BWQFDAS0BFgD+AOIAwQCaAHEARwAg////4P/D/6P/gf9c/zj/F/76/uL+zP63/qH+i/50/lr+Pf4e/fv91v2v/YP9T/0R/Mn8efwo+9z7nPts+077Pvs7+0H7Tfte+3D7gPuG+337YPsw+u/6p/pg+iD56fm4+Yj5Vfkc+OH4qfh2+Er4IPf298f3k/dd9yr2/vbb9sP2tfau9qz2rfav9qz2o/aR9nb2VvYy9g716vXI9aX1gvVg9UT1MPUk9R31FfUH9O/0z/Sr9Ib0Y/Q/9Bnz8PPE85nzc/NR8zLzEvLt8sPylfJo8jvyDvHh8bXxjPFq8VDxO/Eo8RLw9/Da8L3wpfCT8Ibwe/B08HDwb/Bv8G3wY/BR8DrwJfAV8A3wCfAF7//v9u/u7+fv4O/U78Hvp++L73Xvae9s73zvku+t78jv5PAC8B7wOPBM8FrwYfBn8G/wefCD8IvwivB+8GnwUPA78DDwMfA58EHwRfBB8DnwM/A18EDwUPBg8GrwbfBq8GPwXPBW8FHwTfBN8FPwYPBz8IrwpPDC8OPxC/E18V7xgPGX8aPxqPGs8bPxvPHF8crxyvHC8bXxo/GP8XnxZPFV8UzxSvFK8UzxUPFa8W/xkfG78eHx9fHx8dfxsPGL8XbxdvGN8brx/PJS8rfzH/N988Xz9fQV9DL0W/ST9NT1E/VI9XT1oPXW9hj2Xvaa9sT24Pb69yT3Z/e7+BL4WfiG+KD4tPjQ+Pv5M/lw+an53voS+kv6ifrJ+wj7RPt++7n79/w2/HH8ovzJ/Or9Dv0//X79yv4c/mv+s/7z/y7/Z/+g/9kAEABEAHQAogDPAPwBKgFZAYUBrgHSAfICEgIyAlYCfQKmAtEC/QMqA1kDiQO4A+MECwQtBE4EbwSUBL0E5wUSBTwFZwWWBcwGBwZFBn0GqwbLBuIG9wcOByoHRAdTB1EHOwcYBvQG2QbOBtIG3wbvBv4HDAcaBykHOQdGB04HVAdaB2QHcweDB40HjAd/B2kHUAc7BysHHwcUBwkG/wb3BvUG8wbtBtsGvAaRBmUGQgYwBi8GOwZMBlwGagZ4BooGowbCBuEG/QcRByAHKgcyBzoHQAdEB0UHRwdNB1kHbAeBB5YHqAe6B84H5Qf/CBkIMAhECFYIbAiHCKkIzQjvCQwJIQkvCTYJOgk9CUUJVglvCYgJjglrCREIhQfaBzEGpwZABesFggTgA/UC0AGbAIr/x/9m/2H/ogAPAJUBJwHAAlUC3ANJA5gDygPkA+8D7gPeA74DjANLAwQCwAKBAkMB/AGiATIAsgAv/7j/XP8j/w3/F/82/2D/iv+v/8//9QAwAI4BFgG7AmcC/ANfA4YDdAM5AuUChgIiAb4BYQEYAO0A4QDqAPUA8QDWAK8AjQCAAI4ArQDPAOwBCAEwAW4BuQH6AhAB6AGGAQoAngBiAF4AgACnALwAugCuAKoAvADhAQwBMAFIAVcBaQGGAbIB5wIeAlACfgKpAtYDBwM5A2oDlwPBA+cEDQQ1BGEEkQTDBO4FCwUVBQYE5ASyBHQELgPdA4ADFQKeAiABnwEfAKYAOv/i/6b/iv+P/6z/2AALAEEAewC9AQYBVQGlAfECOQJ7ArkC8wMoA1UDewOcA7sD2gP3BBIEKAQ4BEMETARSBFYEWARXBFYEVwRcBGMEawRxBHMEcgRvBGoEYgRWBEUEMAQbBAcD9wPoA9cDwwOtA5YDfwNrA1YDPwMnAw4C9QLdAsYCrgKVAnoCXwJHAjACGgICAekBzwG2AZ0BgwFmAUUBIwEBAOMAyQCxAJkAfwBjAEQAJgAG/+T/v/+Z/3P/Tv8q/wb+4P65/pP+cP5Q/jL+Ef3r/cP9nf19/Wb9VP1B/Sj9Cfzq/M38tvyh/Iv8b/xS/Df8Jfwc/Bf8Dvv4+9P7n/tk+y37Bfr4+wv7PvuF+8z7/PwG++r7tft6+077Ofs3+zz7Ovsr+xL69PrY+sH6svqs+rL6x/rq+xf7Rvtv+4v7mfua+5P7h/t4+2b7Uvs7+yL7CPrv+tn6xvq4+q76p/qg+pv6lvqT+pH6jvqG+nb6X/pH+jT6Lfo1+kr6afqM+q36x/rR+sX6ofpl+hz50vmT+WT5Q/kn+Qj44vi2+Iv4Y/hC+CX4CPfr98/3t/em95z3mPeY95r3nfeh96X3qvet97D3svez97H3qveb94T3Z/dJ9zD3IPcY9xb3E/cM9v326fbS9r32qvaa9or2dvZb9jn2EfXo9cT1qvWb9ZT1jfV/9WP1OPUA9ML0hPRM9B3z9PPP863zivNp80rzLvMW8wHy8PLi8tny1PLR8s3yxfK18qDyh/Jt8lLyN/IY8fXxzvGm8YHxYfFH8THxG/ED8OnwzfCx8JbwevBd8D3wGu/279Pvsu+U73jvXu9D7yjvDe7y7truxe607qfunO6U7o7uje6S7pvup+6x7rbutu6x7qjune6R7oXue+527nbufO6D7ojuie6G7oPuhu6R7qTuu+7V7vHvEe8472Tvk++/7+bwCfAt8FfwivDD8QDxPfF58bXx8/I08nPyr/Lj8xHzO/Nn85XzxvP29CL0SPRr9I30sfTY9QP1MfVi9ZH1v/Xq9hL2N/Zc9oL2qPbS9wD3NPdv97T3/vhK+JD4y/j3+Rf5MvlR+Xj5qPne+hL6Pfpb+m76e/qN+q364Psp+4L74/xB/Jf84f0k/Wf9r/3+/lP+qP73/z//g//KABgAcADNASsBhQHZAi0ChALiA0QDpAP5BD8EdgSmBNcFDwVTBaAF9gZQBqsHBQdZB6MH3wgMCC4ITQhwCJwI0gkQCVEJkgnSChMKVwqfCu0LPQuNC9sMJwxvDLMM9A0xDWwNpg3eDhYOTQ6CDrYO6g8hD1oPlg/SEAwQRRB7ELEQ6REhEVgRjBG9EewSHRJREokSwRL2EyUTTxN3E6ETzRP9FC8UYxSaFNQVDxVJFX0VqxXSFfcWHhZIFnMWmxa7FtMW5Rb1FwYXGRcrFzkXQhdIF00XVBdcF2QXaRdrF2wXbhdzF3sXhReRF5wXqBe1F8EXzhfZF+MX7Rf1F/0YBBgJGAoYCRgEF/sX8BfjF9QXxRe0F6MXkBd/F3AXZhdiF2QXaxd0F34XiBeQF5YXlReMF3oXYBdDFygXERcAFvQW7RboFuYW5RbkFuQW5RbuFwQXKRdeF5sX0xf9GA4YBRfoF8AXlxd6F24XdReLF6QXtRezF5sXdBdIFx8XARbqFtYWwRaoFo8WdxZhFkoWLxYPFe8V2BXOFdEV2BXVFcAVmRVqFUIVLRUsFTsVTBVRFUIVHRTlFKMUYBQhE+sTvRORE2MTLhL0ErkSgRJREisSDRHxEdQRtxGbEYMRbxFaEUERJhEKEPMQ4xDbENcQ0hDKEMAQtxCzELMQthC4ELoQuxC9EMIQyRDSENkQ3hDhEOAQ2xDQEL8QqxCYEIsQhhCHEIoQihCCEHIQWhA+EB8QAA/iD8QPpw+JD2kPRg8iDwAO4w7KDrMOlw5yDkQOEQ3hDbgNlA1yDUsNHAzmDLAMggxgDEwMRAxDDEYMSAxJDEUMOwwoDAsL5Qu6C48LagtOCzwLMwstCyULGAsECuwK0wq7CqcKlAqDCnAKWwpDCicKBgncCasJcwk3CPoIvQiACEMIBgfQB6gHlQeaB7QH2Af5CAwIDQf9B+QHyQevB5cHfgdiB0MHJgcLBvUG3wbEBp4GawYvBfIFugWMBWYFRwUrBQ4E8wTZBMAEpwSNBG8EUAQwBBID+APgA8kDsQOWA3gDWQM7Ax4DAwLtAtoCywK/ArMCogKJAmcCPAIOAeABuQGZAYEBbAFYAUABJgELAPEA2QDBAKcAiABjADsAEf/r/8f/pv+D/1//OP8Q/ur+yP6p/o3+cf5U/jn+Hf4D/en90P22/Zr9ff1c/TX9BvzM/Ib8OPvn+5r7WPsm+wf6+vr8+wv7Ivs9+1b7aPtt+177OvsC+r/6ePo4+gH50fmi+W75Mvjv+Kv4bPg3+An33/ez94L3Tvcb9u32yPat9pz2lfaU9pj2nfag9pz2j/Z59lv2OfYV9fP10/Wz9ZL1cvVS9Tb1IfUT9Qn0/vTt9NT0svSN9Gn0R/Qn9AXz3/O284vzZPND8yTzBvLi8rnyjPJe8jDyA/HW8anxfvFa8T/xK/Eb8Qjw7vDP8K7wj/B28GXwWvBX8FjwXPBf8F3wUvA/8CfwEO/+7/Dv5e/X78bvs++g75Dvge9x71zvRO8u7yDvH+8s70TvYe+A75zvte/N7+Lv9fAI8BvwL/BG8F3wc/CF8JDwkfCK8H3wbvBj8F7wYPBj8GPwWvBI8DLwH/AW8BfwH/Ap8DLwOPA98EXwTvBV8FXwTPA+8DDwK/Ay8EfwZfCK8LTw4PEM8TXxWPFx8YDxifGR8ZvxqvG88c7x3fHm8ebx2/HG8a3xk/F98W3xYPFT8UbxPPE98U3xbfGT8a7xr/GT8V7xJPD38Ofw+fEs8Xrx2/JK8rzzJ/OA87/z5/QE9CL0TfSF9ML0+/Ut9Vv1kPXS9h/2afaj9sb22vbx9xz3Y/e8+BT4WPiD+Jv4svjW+Qz5T/mT+dD6Bvo5+nD6q/ro+yT7XPuU+9D8EvxW/JP8wvzj/P79If1Y/ab+CP5v/s//IP9i/5v/0QAJAEQAfgC2AOkBGAFGAXEBmwG/Ad4B9gIMAiQCQQJlAo4CuQLjAw0DNgNgA4wDuQPlBA0EMQRTBHQEmAS/BOkFEgU6BWEFiQW4Be8GLQZtBqkG2Ab6Bw8HIAcxB0QHVwdfB1gHQAccBvkG4AbXBt4G7gcDBxkHLwdGB10Hbwd5B3sHeAd4B4IHlQeqB7YHsQeaB3gHVwc/BzEHKQcgBxQHBAb3BvAG7gbrBt4GxAaeBnUGVAZDBkMGTgZeBm0GeQaGBpcGrgbJBuQG/AcQByEHMgdEB1QHYAdnB2kHaQdsB3QHgQeRB6IHsgfFB9kH8ggLCCQIOwhQCGcIggihCMII4Aj7CREJJAk0CT8JRAlCCUIJSglgCXoJfwlSCNkIEwcYBhQFNASPBB4DvQNEApkBwgDfACL/sP+c/9oAUADbAWUB4AJLAqkC+wNAA3gDogPAA9QD3QPbA8oDpwN2AzsC/gLFAo4CVQITAcIBYADyAIEAGP+//3n/RP8b/vj+1v62/p7+m/69/xP/pABrAVICOAL3A3QDowOKA0AC4gKHAj0CCAHkAcsBtgGhAYgBawFNATIBIQEeASYBNgFIAV4BfAGpAeICGgI4AiUB2gFjAOIAfABKAE0AbwCSAKMAnwCVAJkAtwDuATABbwGlAdQCBAI9An4CvwL3AyEDPANRA2YDggOkA8oD7gQLBCEEMAQ9BE0EYQRzBHkEaQQ6A+sDgwMPApwCLwHJAWkBCgCrAFD//P+1/3//Xv9Y/27/oP/oADsAkQDhASwBdAG8AgYCUQKYAtoDFgNNA4IDsgPcA/wEFAQkBDAEOQRBBEYESARHBEcESARKBEsESgRFBEAEPgRBBEYESwRNBEoEQwQ8BDUELAQgBA8D+wPoA9gDzAO/A68DmQOAA2cDUgNCAzQDJQMRAvsC4wLOAroCpgKPAnQCVQI1AhQB9QHVAbcBmQF+AWUBTAExARMA8wDTALYAmwCBAGcATAAwABT/+P/a/7f/j/9k/zn/Ev7v/s3+qv6D/lz+OP4Z/fz93v26/ZL9aP1F/Sr9Fv0E/Oz8zvyu/I/8dvxg/Ev8NPwa/AD76fvZ+837xPu5+6n7j/tn+zL69vrA+qL6qPrX+x/7Z/uX+6D7hPtT+yT7A/r1+vP68/rw+uf62frJ+rX6n/qM+oL6iPqj+tD7B/s++2v7ifuW+5L7gvtq+077NPsc+wn6+Prn+tT6wPqu+p/6lvqQ+oz6ivqK+ov6i/qG+nf6YPpF+i36Ifom+jz6YvqS+sT68PsP+xf7AvrP+of6Nvnr+a35gPld+Tv5Ffjo+Ln4i/hj+EH4JfgO9/r35/fX98v3xPfC98j30/fh9+739vf59/n3+Pf39/T36/fZ9773nvd/92j3WfdS90/3SvdC9zb3JfcR9v726/ba9sr2uPag9n/2WPYw9g319/Xs9ej13vXD9ZL1TPT79Kv0Z/Qz9A3z7/PT87bzmPN782HzS/M48yfzFvMH8vvy9PLy8vPy9PLw8uXy1PK+8qPyhfJj8j3yE/Ho8b/xm/F78WHxSfEy8Rrw//Dj8MTwo/CB8F7wOvAX7/Tv0u+z75bvfO9j70nvLu8U7v3u6+7g7tvu2O7X7tXu0+7U7tju3O7g7uHu3u7Z7tLuyu7B7rXuqO6d7pjume6g7qbup+6j7p3ume6d7qruv+7a7vnvHe9I73fvp+/S7/bwF/A48GHwk/DN8QvxSfGG8cLyAfI/8nzys/Lj8w3zNPNe84vzu/Pq9BX0PPRh9IT0qfTP9Pb1HfVF9Wv1kfW29dr2APYq9lv2kvbR9xT3Wvei9+j4Lfht+Kb41fj7+Rv5Oflb+YT5tfnq+h76TPpw+or6n/q4+tz7EftY+638Bvxb/Kf85v0f/Vj9lv3e/i7+gv7W/yj/eP/HABcAZgCyAPkBPQGDAdICLgKYAwgDcwPRBB8EXgSWBM8FDQVRBZsF6QY6BpAG6AdBB5QH2wgSCDoIWAh0CJQIvgjxCSwJbAmwCfUKPAqECs0LGAtjC68L+wxFDIsMzg0MDUcNfQ2xDeIOEQ4/Dm0Ong7TDwwPRw+DD74P+RA1EHUQuBD8ET4RfBGzEeUSFhJIEnoSqxLaEwQTLBNUE34TrBPbFAkUNxRmFJcUyxUAFTMVYRWJFa8V1BX7FiEWRRZjFnwWlRavFssW6RcFFxwXLxdAF1EXYRdwF3sXgBeBF4MXhhePF5oXpxezF70XxRfLF9AX1RfaF+EX6hf2GAIYDhgVGBkYGBgWGBMYDRgFF/cX5RfOF7UXnheJF3kXbxdpF2gXaxdzF30XiheWF5sXlBd/F14XNRcNFuwW1BbDFrkWshaxFrQWvBbFFs8W2RbnFwIXLRdnF6YX3Rf/GAUX8xfRF6oXhxdwF2kXcBeCF5gXpRejF4wXZhc5FxEW9RbkFtgWyxa2FpwWfhZgFkMWJhYLFfMV5BXfFd8V3BXKFacVdhVCFRwVDBUTFSkVPxVIFToVFBTaFJIURxQBE8QTkxNoE0ATExLhEq0SexJPEiYSDRH2Ed4RwxGoEY4RdxFiEU4ROBEkERMRBhD+EPcQ7xDmEN0Q1xDWENoQ4BDnEO4Q9BD7EQIRCxETERoRIhEqETERNhEzESgRFhECEPIQ6hDqEO4Q8RDrENsQvxCbEHIQShAnEAsP9Q/hD8gPqQ+FD2EPRQ8xDyQPFA77DtQOow5vDj4OEw3qDb8NjA1UDRwM6QzBDKYMlQyKDIMMfQx2DG0MYQxPDDUMEgvpC74Llwt3C2ALUQtFCzcLIwsKCu4K1QrCCrQKqgqgCpQKhQpzClsKPgoXCecJrglvCSwI6QinCGUIKAf1B9MHywffCAgIPQhsCIgIjAh3CFIIJwf/B9wHvgehB4QHZgdHBykHCAbjBrUGfQY+BgAFyQWbBXYFWAU7BR0FAATkBMsEswSaBH4EXgQ+BCAEBgPvA9cDuwObA3gDVQM0AxcC/QLkAswCuAKqAqACmAKMAnUCUAIgAesBuAGNAWoBTAEuAQwA5wDBAJ4AgQBnAE8AMwAU//L/zv+p/4X/YP84/w/+5f69/pj+df5U/jL+EP3u/c39rv2S/Xf9Xv1G/S39FPz3/NP8p/xv/Cv73/uQ+0P7APrP+rL6q/q3+tH68vsW+zX7SvtP+z/7F/rb+pT6TPoO+dz5svmK+Vj5G/jU+Ir4RvgK99f3pvd190D3DPbc9rT2lvaC9nb2cfZx9nb2fPZ99nf2ZvZN9iz2C/Xq9cv1rvWS9XT1VfU49R31B/T29Of02PTE9Kn0iPRm9ET0JfQG8+XzvvOS82XzO/MZ8vvy3/LA8pzydPJM8iTx/PHT8afxe/FT8TLxGvEH8PTw3PC98JvwevBg8E/wRPBA8EDwQfBA8DvwMPAf8Avv9u/k79Lvv++o747vcu9Y70HvK+8W7wLu8e7o7uru+e8R7y7vTO9n737vku+i76/vvO/N7+bwCPAy8F3whPCh8LLwuPC28K7wovCW8Irwf/Bz8GPwTvAy8BPv9u/h79Lvyu/G78bvze/g8ADwJ/BM8GLwZfBX8EPwNvA38EnwZ/CL8LDw0/D08RXxNfFT8Wvxf/GP8Z3xrPG98dDx4PHo8ePx0fGz8ZPxd/Fl8VvxU/FF8S/xFvED8P7xCfEb8SXxHvED8ODwxPC/8NfxC/FS8aTx/PJW8rDzBfNO84jztfPd9Aj0PfR49LP06PUY9Un1hfXN9hz2Zvae9sD21vbv9xr3W/ep9/X4Mfhd+H/4pvjb+Rz5ZPmo+eT6GfpO+ob6wfr7+zL7Z/uf+9/8Kfx1/Lj86/0O/Sn9Tf2H/dr+Qf6u/xL/Zf+p/+MAHABYAJYA1AENAUEBcQGeAckB8AIQAicCOAJIAlwCeQKeAskC8wMaAz4DYQOFA6wD1AP8BCMERwRrBJAEuAThBQoFMwVaBYIFrAXbBg8GSQaDBroG6AcLByUHOAdIB1gHYwdmB1wHRAclBwcG8wbtBvQHBAcZBzIHTQdrB4cHnQelB6MHmgeWB50HrwfDB80HxAeoB4IHXgdHBz0HOgc0BycHEwcABvMG7AbnBtsGwwagBnwGXgZQBlAGWwZqBngGhQaSBqMGtwbNBuMG9wcLByEHOQdTB2sHfAeFB4cHiAeKB5EHnAepB7cHxQfVB+kH/wgWCCsIQAhWCHEIkgi2CNgI8wkICRkJKgk9CU0JWAlaCVoJYQlyCYcJhAlHCLAHuwaABS8D/AMMAmIB5wF5AQAAfAAF/7r/tP/1AGwA/AGHAf0CWgKjAuADFANBA2UDfgOOA5kDoQOmA6YDngOIA2UDNwMCAskCkAJUAhMBygF5ASMAzQB8ADD/5/+c/03++f6j/lL+Ef3t/ff+PP7D/4UAaAFGAfUCXAJ3Al4CNwImAjoCagKcArECnAJhAhYB1AGvAakBuAHNAdwB4AHeAeAB7QIGAiQCNgIqAfUBmwEuAMkAiAB0AIsAtgDfAPkBBAENASQBUgGSAdsCHwJbApECxwL/AzcDZQOBA4gDfwNxA2kDbgOAA5gDqwOwA6MDiANnA0kDMwMfAwICzQJ5AgYBgAD6AIMAJv/k/7f/mP+D/3X/cf92/4f/pv/WABoAcADSATgBmQHvAjgCeAK1Au4DJQNWA4IDqgPQA/UEFwQ0BEoEWARgBGQEZgRlBGEEWQRQBEgEQwRABD0ENgQtBCQEHgQcBB0EHQQYBA8EAwP5A/ED6gPhA9IDwQOwA6IDlgOJA3cDXQM/AyMDDgMCAvsC8gLkAtACuQKiAo8CfAJpAlICNgIXAfUB0gGsAYcBYwFCASYBDQD1ANwAwwCpAJAAeABeAEIAIwAD/+P/xf+l/4D/Vf8m/vj+z/6u/o/+cP5M/iT9/v3c/b79ov2B/V39Nv0T/Pf84fzM/LP8lPxz/FP8N/wg/Av79vvg+8n7tfui+5D7gPt0+2r7YftQ+y/6+/q7+oL6ZPpv+p/64vsd+zv7NvsY+u/6zfq4+rD6sPqz+rb6tvqy+qf6lfp/+m76a/p5+pv6yvsA+zP7Xft5+4H7dvtb+zj7Ffr6+uj63PrO+r36qfqW+or6hfqF+oX6gvp8+nb6cPpq+mD6UvpA+i76JPom+jX6UPp1+qD6zfr5+xr7KPsd+vf6uvpy+if54vml+W/5PPkK+Nj4qPh9+Fv4Q/gz+Cn4H/gU+Af3+/f29/v4Cfgc+C34Nfg0+C34Jvgh+Bz4Evf+9+L3wvek94/3g/d993f3b/dj91b3R/c59yr3GvcK9vr26PbT9rj2mPZ29lr2SvZD9j32LPYD9b31YfT+9KL0XPQt9A/z+/Pm883zsPOS83jzYvNQ80DzMPMi8xbzEPMR8xbzHPMg8x3zEfL88uDyv/Kb8nXyTvIn8gLx3vG98aDxhvFv8VjxP/Ei8QHw3PC18I3wZvBA8Bvv9+/V77fvne+F727vVO867yPvEu8L7wzvE+8a7x/vIO8f7x7vG+8X7xDvCO8B7v3u/O777vfu7e7i7tju1O7X7tvu3O7Y7s/ux+7E7svu3O707xTvOu9m75Xvwu/q8AvwKPBH8G3wnvDX8RXxUvGP8czyCPJD8nnyqvLV8v3zJfNR84Dzr/PZ9AD0I/RG9Gr0kPS19Nn0+/Ud9UH1afWU9cT1+fY09nb2vvcK91b3oPfm+Cb4YPiU+MD45vkH+SP5QPlf+YP5qvnU+f/6J/pM+m76j/qz+t77FvtZ+6b79vxC/Ib8wfz3/S39av2w/gD+Vv6w/wv/Zv/AABcAZgCpAOABDwFBAYEB1QI/ArYDLgObA/cERQSIBMgFCQVLBY4F0QYXBmIGtAcKB2EHsQf1CCwIVQh2CJIIrwjRCP4JNQl2Cb0KBwpQCpcK3AsiC2oLswv9DEQMhwzGDP8NNQ1oDZgNxw33DikOYA6bDtkPGQ9XD5QP0RAREFcQoBDsETYRehG5EfISKBJaEooSthLdEwETJRNOE3sTqxPbFAkUNBRdFIgUthTlFRUVQRVqFZAVthXaFf0WHBY3FlIWbxaQFrQW1xb4FxUXMBdMF2oXiReiF7MXuRe6F7oXwBfMF9wX7Bf3F/0X/hf7F/YX8RfuF+8X9xgEGBMYIBgnGCgYJxgmGCcYKxgrGCUYFhf/F+YXzxe+F7QXrheoF6EXmReTF5QXnBemF6wXoxeIF10XKhb6FtUWvBasFqAWlxaRFpEWlxaiFq4WvBbPFvAXIxdlF6gX3hf4F/UX3Re7F50XiBd7F3QXchd1F3oXfhd6F2gXSBcgFvwW4hbVFs8Wxxa2FpsWeRZWFjcWHhYKFfoV7hXkFdgVxRWmFXwVThUmFQwVBxURFSMVMBUwFRwU8xS3FG4UIRPWE5UTYRM4ExMS7xLFEpgSbBJFEhYR/RHnEdERuRGgEYkRdRFmEVkRThFCETYRKhEfERMRCBD/EPgQ9RD2EPoRAREJERERHBEoETMRPhFGEU4RVhFiEXERfhGGEYURfBFtEWARWBFVEVYRVhFPET4RIxD9ENIQpxCCEGcQVRBHEDUQGg/1D84PrA+UD4UPeQ9nD0sPJA75Ds4OpQ57Dk0OGA3cDZ8NZQ00DQwM7gzXDMcMuwyzDKwMpAyXDIMMZQw/DBQL5wu8C5cLeAtdC0MLJwsLCvMK4ArVCtEKzwrMCsYKvAqtCpsKgwpiCjYKAAnACXsJNAjsCKcIaQg7CCMIJwhICH8IwAj5CRoJHAj+CMcIhghHCBMH6wfMB68HkQduB0gHHgbwBr0GhAZIBg0F1wWsBYoFbQVRBTMFFAT1BNkEvwSlBIkEawRLBC0EEgP5A94DvwObA3UDUQMyAxcC/wLlAssCsQKdApECiwKDAnMCVAInAfEBugGJAV4BNgEKANgAowBuAD8AGf/7/+L/yv+w/5T/df9S/y3/BP7Y/q3+hP5e/jn+FP3t/cT9m/10/VH9Mv0W/Pv84fzJ/LH8mfx+/Fz8Mfv6+7n7cPsk+tr6m/ps+lP6Ufpj+oT6rfrY+v/7Hvsr+yL6/fq/+nH6Ifnb+af5gPld+TP4+/i3+G34Jvfl96v3dPc99wX20fak9oH2Z/ZW9kr2RPZD9kf2TfZO9kf2NPYZ9fj12PW69Z/1hfVq9Uz1LvUP9PP02/TH9LT0ofSL9HH0VPQ19Bjz/PPf873zlPNk8zPzBvLh8sTyq/KS8nXyVPIy8g/x7PHG8ZvxbPFA8Rrw/PDm8NHwuvCe8H/wYvBL8DrwLvAm8CDwG/AY8BTwDvAF7/jv6e/W78Dvpu+L73HvWe9E7zHvHO8G7vHu5O7j7u/vBO8e7zXvSu9e73Dvg++U76Hvre++79vwBvA78HPwo/DF8Njw3vDc8NPww/Ct8JHwc/BV8DjwHfAB7+bvzO+z75vvgu9q71fvUu9j74vvxPAA8C/wR/BJ8EHwOvA/8FHwbPCJ8KLwuPDO8OjxCPEr8U3xa/GC8ZLxn/Gq8bbxvvG88arxiPFc8TPxGfET8RzxJ/El8Q3w5PC18I7wdPBo8GTwY/Bp8HzwpPDi8S7xffHD8f3yMPJk8p3y2/Ma81Xzi/PA8/f0MvRw9Kr03/US9Uf1hfXL9hT2VfaI9q32y/bs9xn3UfeQ98z4Afgx+GL4mvja+R/5Yvmf+df6D/pL+ov6zPsJ+0H7ePuz+/n8SPyY/OH9Gf1C/Wb9kv3Q/iT+iP7w/1D/pP/sAC0AbQCuAO8BLAFjAZMBwAHqAhMCOAJVAmoCeAKEApUCrgLQAvgDHwNDA2UDhQOmA8oD7wQVBDsEYQSGBKwE0wT5BSEFSwV4BacF1wYHBjQGYAaLBrUG3gcFBycHQwdaB2oHcwdzB2kHVwdAByoHGgcUBxcHIAcwB0UHYAd+B50HtAe/B74HtgexB7YHxAfSB9cHygetB4gHaAdTB0wHTAdJBz4HKwcXBwcG+wbxBuEGxwamBoMGaAZZBlgGYQZuBnwGigaZBqkGvAbPBuMG9wcMByUHQAdbB3IHggeJB4sHjQeRB5sHqAe2B8MH0AffB/EIBggbCDAIRQhcCHkIngjFCOgJAgkTCR8JKwk8CU8JYQluCXoJiQmfCbAJoglSCKMHkQY0BLwDXAI5AV0AvgBH/+v/q/+W/7kAEgCUASQBqAIRAl8CmALJAvgDJQNMA2cDdQN4A3QDcANwA3IDdQNyA2UDSgMjAvMCvQKFAkoCDQHNAYsBSwEMAM8AkgBQAAb/tP9b/v3+nP49/e39vf3C/gf+hv8j/7cAJABeAHsAnQDpAWUB+wJ6ArkCogJKAd0BigFvAY0BygIHAi8CPAI6AjQCMgIwAiQCBgHRAY0BSAEQAPIA8QEKATIBXQGCAZ8BuAHVAfsCKgJdAowCsALJAtsC6wL7AwcDBwL3AtUCqgKBAmUCXQJlAnECcgJdAi4B6QGeAVkBIwD7ANQAnwBU//X/j/8z/vH+0v7S/u3/Gf9Q/5D/1gAeAGYArAD0AUABkwHrAkICkALTAwgDNQNdA4MDpwPJA+YEAQQbBDQESgRdBGgEbgRwBHIEcgRxBGwEYwRXBEsEQAQ1BCoEHAQMA/wD8APpA+QD3wPVA8kDvAO0A68DqwOkA5cDhQNyA2EDUwNEAzADFQL2AtgCwgK0AqsCogKTAn4CZgJOAjkCKAIWAgQB7wHWAboBmgF2AVABKQEHAOkA0AC6AKMAiwB0AF4ASAAwABP/8v/O/6r/iP9n/0L/F/7o/rr+kv5x/lX+N/4U/ez9w/2d/X79Yv1F/Sb9Bfzl/Mn8sPyX/Hv8XPw7/B38Afvn+877tPuc+4n7evts+137Svs2+yf7IPsb+w/68vrC+or6XfpM+lz6hPqv+sz60vrC+qj6j/p9+nP6cfpy+nX6efp7+nn6dPpt+mr6bvp7+pD6rfrR+vz7KftR+2r7bftZ+zb7EPry+t/60vrE+rD6l/qC+nf6d/p9+n/6efpq+lf6SPpA+jz6Ofoz+iz6Jfoi+ib6L/o/+lf6evqp+uH7F/tA+037OPsB+q/6Ufny+Z35Vvkb+Ov4wfib+Hz4Zvha+Ff4VfhQ+EX4OPgv+DD4PPhN+Fr4XfhU+EX4N/gu+Cj4H/gM9+/3z/ey95/3lfeQ94r3gfd092f3XfdU90r3Pvcv9x33Cvb09tv2v/ak9o/2hfaD9n72afY59ev1hvUc9L30dfRF9Cr0F/QF8+7z0fOx85LzdvNf80zzP/M38zPzM/M28zvzQPNC8z7zMvMe8wLy4fK98pryevJb8jzyHfH+8d7xwfGo8ZHxevFh8UHxG/Dx8MXwmfBv8EbwH+/8793vxO+v75vvhe9u71jvSO9C70fvU+9h72rvb+9u72nvYO9S70HvMO8i7xzvHe8i7ybvJe8f7xjvE+8U7xfvF+8S7wju/e747vvvCe8g7z/vZO+N77jv4PAE8CLwPfBc8ILwsfDo8SLxXfGY8dHyCfI98mzylfK88uTzEfNC83Pzn/PD8+Dz/PQa9D30ZPSL9LH01fT89Sj1XPWZ9d72KfZ59sv3HPdp96737Pgi+FL4ffik+Mb45fkB+Rz5OflX+Xb5lfmz+dP59PoZ+kH6a/qY+sj6//s9+4L7y/wT/Fb8kPzF/Pj9Mf1z/b/+FP5v/s7/Lv+N/+kAPACBALcA4gEOAUYBlgIAAnwC/QN2A94ENAR8BL4E/AU5BXQFsAXtBjAGegbLByEHdgfHCA8ITAh6CJoIsQjECNwJAQk0CXMJugoCCkcKigrOCxMLXAumC+0MMQxxDK0M5w0gDVcNjQ3FDgEOQA6EDsoPDg9PD4wPyBAGEEkQkBDZESMRahGuEe4SKxJiEpMSvhLiEwUTKRNTE4MTtxPrFBwURxRvFJYUvhToFRIVOxVjFYsVsxXaFf8WIRY/Fl0WfhaiFsYW6RcGFyEXPhdiF4wXtxfcF/MX/Rf/GAAYBxgVGCYYNBg7GDsYNRgtGCQYHBgVGBQYGBgiGC8YOBg7GDcYMRgwGDUYQBhMGFIYTxhCGDAYIRgZGBYYFBgOF/8X6RfTF8YXxRfOF9UXzhewF34XQxcMFuIWxhazFqIWjxZ/FnUWdRZ9FogWlRarFtAXCxdXF6MX3Bf1F+0X0BexF5oXjheIF38XcRdiF1gXVBdSF0kXNRcXFvYW3BbMFsQWvBarFo8WbBZHFigWDxX9Fe0V2xXFFasVjBVrFUwVMhUhFRsVGxUgFSEVGhUJFOsUvxSHFEMT+BOuE2sTNBMKEukSyhKoEoESWRI1Ef4R4xHMEbURnhGIEXQRZRFbEVcRVBFREUwRRBE6ETERKREjER8RHBEaERkRGhEgESwRPxFVEWwRfxGPEZsRqBG3EcgR1xHgEeAR1xHLEb4RtRGwEasRpRGbEYoRchFRESoRABDaEL0QqxCfEJEQexBZEDEQCQ/oD9EPwA+vD5oPfw9hD0EPHw76Ds8OnA5kDigN7g22DYQNWA02DR4NEQ0NDQ0NCw0CDPEM1AyuDH8MSgwSC9oLpgt2C0wLKgsQCwAK+gr7Cv8LAwsDCv8K+QryCugK2grECqAKbwowCegJmglKCP8IwAiUCIIIjwi3CPQJOQl2CZoJnAl3CTMI3QiHCD4ICAfhB8IHoQd6B0sHGAbjBq4GdwY/BggF1wWuBY8FdgVeBUQFJgUGBOcEygSvBJUEeQRbBD0EIAQDA+UDxAOgA3oDVwM3AxwDAwLoAssCrgKVAoQCeQJvAl4CQQIXAeUBsgGBAVMBIgDqAKoAZQAh/+b/tf+P/3D/Vf86/x7+/v7Z/rD+gv5U/ij+Av3e/br9kf1j/TL9A/za/Lj8m/yA/GX8S/wy/Bz8B/vv+8/7pfty+zX68vqt+mr6MPoE+ez56vn7+hv6Rfp1+qb60vrx+vj63/ql+lP5+fmo+Wv5P/kd+Pb4wviC+Dv39fe093n3QfcJ9tL2n/Z09lH2N/Yj9hX2DPYL9hD2F/Ya9hL1//Xh9cD1oPWG9XD1WvVC9SX1BvTl9Mf0rPSV9ID0a/RV9D30I/QI8+7z0/O385TzavM58wby2PKz8pjygvJs8lHyMfIO8enxw/Gb8W/xQvEX8PLw1vDB8K/wnPCF8GzwUvA78CbwFPAD7/bv7u/r7+7v8+/27/Pv6e/X77/vpO+M73rvce9s72bvWu9J7zXvJ+8l7y/vPu9M71fvYe9v74XvoO+779Dv3+/u8AfwL/Bj8Jrwx/Dj8Ozw5vDY8MPwpvCB8FbwKvAC7+Lvy++576vvnO+K73LvUu8t7wju8e7w7wzvPe9576/v1e/r7/bwAPAQ8CbwPvBV8Gnwe/CP8KjwyPDs8RDxL/FH8VfxYvFs8XfxfvF88WjxQvER8Obwz/DU8O7xC/EY8Qfw1/CW8FLwGe/y7+Lv7PAT8FnwuvEo8Y/x4PIT8i7yQvJf8ovyx/MI80jzg/O78/T0L/Rr9Kf04PUY9VP1kPXQ9gz2QPZt9pT2vPbo9xr3T/eE97f36vgf+Fr4mvjb+Rn5U/mJ+cL6AfpH+pH62fsc+1n7lvvX/B/8bfy6/P/9Ov1s/Z/92f4i/nn+2f88/5r/8QBAAIkAzgEQAU4BhgG3AeQCDgI3Al4CgQKdArACugLCAs4C4QL9Ax8DQwNoA4oDrAPOA/EEFAQ5BF4EgwSoBMsE7gUSBTsFawWiBd0GFAZBBmIGewaSBq8G1gcDBzIHWwd6B4sHkQeNB4IHcQdfB00HPwc2BzMHNwdBB1MHbQeLB6gHwQfPB9MH0gfRB9UH3QfkB+MH0we1B5IHcQdcB1MHUgdTB04HQwczByMHEwcCBuwG0QawBo8GdAZlBmEGaAZ1BoQGkwahBrAGvwbRBuUG+wcSBysHQwdYB2gHcQd2B3gHfQeFB5IHoQexB78HzQfdB/EIBwggCDgIUAhqCIgIrAjQCO8JBAkPCRQJGQklCTYJTQlmCYIJownDCdQJuQlSCIoHYwX5BHoDFgHrAQUAXv/q/6j/nP/LADQAxAFdAeQCRgKCAqcCxALkAwwDMwNUA2kDcgNxA2kDXQNQA0QDOgM0Ay4DJgMVAvsC1gKqAngCQgIKAdIBmwFlATMBAwDTAKMAcgA9//3/rf9H/s3+UP3m/af9n/3C/fv+L/5V/nv+vf8z/9sAkgEkAWMBQwDhAHQANAA+AIoA9wFfAawB3QH9AhYCIwIaAfEBqQFWARIA8wEBATEBbgGiAcMB0QHUAdkB5wH/AhsCNQJDAkECLwIRAe0BxwGhAXoBTgEcAOYAsQCFAGoAYwBqAHIAbQBPABT/xf9v/yb+8/7X/sn+uv6k/ob+bP5i/nD+m/7d/y7/iP/qAFEAuwEjAYIB1QIdAl8CnQLbAxUDSANwA44DpgO8A9QD7QQGBB0EMgRGBFgEZwRyBHYEdgRzBHAEbgRsBGYEXARPBD8ELgQdBAoD9QPgA8sDuwOuA6QDmgOOA4IDeANxA28DbANlA1cDQgMrAxYDBALzAuACyQKuApMCegJnAlYCRAIxAhoCAgHtAdoByQG3AaUBkQF8AWUBTAEuAQ0A7ADOALQAngCHAG0AUAAzABf//v/l/8r/q/+J/2f/Rv8m/wL+2v6u/oL+W/47/h/+Av3f/bb9i/1k/UP9J/0M/PD80fyz/Jb8e/xf/EH8IvwE++n70Pu2+5f7dftW+0D7NPsv+yj7GfsD+u363frY+tX6y/qz+o36ZPpH+jz6Q/pS+l76YPpZ+kz6QPo4+jT6Mvow+i/6Lvou+jH6OfpI+l36d/qO+qD6rfq++tj6/vsq+1D7Yfta+0D7IfsJ+vz68/rl+sv6qvqM+nn6dvp6+nr6cPpb+kL6Lvok+iP6Jfok+iD6GfoT+g/6DvoP+hj6LfpV+pL63vsp+2L7dfta+xH6qfo0+cX5a/kp+Pz42/i/+Kb4kPiC+Hz4e/h7+HX4bfhl+GX4bPh3+Hz4dvhk+Ez4OPgt+Cf4IPgQ9/X30/e095/3lfeR9473h/d+93b3cPdu92r3YvdV90P3LfcU9vj22/bC9rD2qfao9qP2j/Zh9hb1t/VS9Pb0rPR49Fb0P/Qq9BTz+fPY87XzkvN0817zU/NR81TzWfNc81zzWfNT80vzP/Mt8xXy9/LW8rbymPJ+8mPyRvIm8gTx4vHF8azxmPGD8WnxSPEg8PTwyPCd8HTwTvAr8A3v9O/h79Dvv++t75vvj++M75Lvnu+s77Xvt++z76nvmu+G723vU+8+7zDvLe8z7zzvQ+9G70fvSO9L703vTO9F7znvLe8m7ynvN+9P727vke+279vv/vAe8DzwWfB78KPw0fEE8TnxbvGi8dbyB/I08lzyf/Kj8svy+fMr81vzgvOf87XzzfPr9BT0Q/R19Kb01vUH9T31e/XC9hH2ZvbA9xj3afew9+n4Ffg4+Ff4c/iO+Kf4v/jZ+Pf5Gfk8+V/5ffmX+bD5zfny+h36TPp7+qn62fsP+077lfvf/CT8YPyR/L387P0l/Wz9v/4Z/nX+0f8q/4D/0AAYAFYAjQDGAQ4BbAHiAmoC8wNyA9sELwRyBK0E5AUcBVMFiwXGBgcGTgadBvEHSQejB/oISQiKCLgI0wjfCOYI9QkSCT4Jdwm2CfcKOAp8CsMLDgtZC6ML6gwuDHAMswz2DTkNeQ25DfoOPg6EDssPEA9RD44Pxw//EDkQdxC4EP0RQhGIEcwSDRJJEn4SrBLVEvwTJRNTE4gTwBP3FCkUVhR+FKQUyRTvFRUVOhVhFYoVtBXgFgoWMRZWFnkWnhbEFucXBRcdFzQXUBd2F6YX2RgFGCMYMhg3GDwYRRhUGGEYaRhoGGAYVxhQGE0YSxhJGEkYSxhQGFUYWRhXGE8YRxhEGEkYVxhpGHgYfhh8GHUYbhhtGHAYchhrGFgYORgYGAAX9xf8GAEX+RfZF6MXYhcmFvkW3BbHFq8WkxZ4FmMWXBZeFmQWbhaAFqQW4xc4F5EX1xf3F+8XzxeqF5AXhBd9F3EXXxdKFzwXORc/F0MXOxclFwYW5xbQFsAWshafFoIWXhY4FhcV/BXlFc8VtBWUFXEVURU4FSsVKBUsFTAVMBUnFRQU+RTZFLQUihRWFBkT1RONE0sTExLnEsUSpxKIEmYSQhIeEeYRzhG4EaMRjhF4EWURVhFPEU0RUBFUEVURVRFVEVURVhFYEVcRUhFJEUAROhE/EU8RaxGNEbIR0xHvEggSHhIyEkESSRJGEjoSKRIXEggR/BHzEekR3hHQEcARrBGSEXARSREiEQIQ7BDeENIQwBCkEH8QVxAzEBcQAg/wD94PyQ+yD5gPeQ9WDy8PAw7WDqcOdQ5BDgsN1g2qDYwNfg19DYANgA12DWANQA0WDOUMqwxrDCYL3wueC2YLPgsnCyELJgswCzkLPAs6CzcLNQs4CzwLPAsxCxYK6AqqCl4KCwm2CWcJJgj6COgI8QkSCUYJgQm3CdoJ3gm9CXgJHAi6CGQIIQfyB80Hpgd3B0AHBQbMBpcGZgY1BgQF1QWsBYwFcwVdBUUFKQUIBOcEygSwBJoEggRoBEoEKgQKA+sDywOrA4kDZwNFAyQDBALlAsUCpgKMAncCaAJYAkMCJQH9AdABoQFzAUQBDwDPAIUANf/m/57/Yf8t/wH+2v61/pL+bP5B/hL93/2u/YL9Xf08/Rn87/y+/Iv8XPw0/BX7+fvd+8H7pPuL+3b7ZPtP+zL7DPre+qn6cfo3+f35yfmg+Yf5gPmK+aL5xfn0+iv6ZfqX+rP6qvp7+i350Pl5+TT5AfjY+K34ePg49/T3s/d490P3EPbe9qr2efZN9if2CfXw9d710/XS9dj14fXk9dv1xfWk9YH1YvVL9Tv1LPUb9QT05vTG9KX0h/Rt9FX0QPQq9BTz/PPi88Xzp/OH82LzN/MJ8tzys/KT8nvyZvJO8jDyCfHd8bDxg/FY8S7xBvDj8MbwsvCj8JfwifB48GPwTPAz8Bjv++/f78fvuO+z77nvxO/P79Xv0+/H77Xvoe+S74zvkO+a76PvpO+b747vhO+B74XvjO+P75DvlO+k78Lv6fAP8CjwM/A48EPwXvCG8LLw1fDk8N7wyPCn8H/wUfAf7+zvvu+a74Lvdu9w72zvZ+9d70zvMu8P7uruy+697sPu3e8C7ynvS+9n74DvmO+x78nv4O/28AzwJvBE8GTwhfCj8L7w1PDn8PfxBfEU8STxNfFA8T3xKfEI8Ofw1fDb8PbxGPEt8SjxBPDL8IjwSfAZ8ADwBfAu8Hvw4/FQ8a7x7PIK8hbyJfJI8oLyyvMU81bzj/PD8/f0L/Rq9Kb04vUe9Vv1mPXR9gP2LvZV9n32rPbi9xr3UfeE97b36/gl+GT4pfjj+Rr5TvmE+cD6BvpT+qD66fst+277sPv2/D/8iPzM/Qr9Rf2C/cT+EP5l/sH/If+B/+AAOgCPANwBIAFcAZEBwQHtAhkCRQJxApsCwALdAvIC/gMGAw8DHgMzA1ADcQOUA7YD1wP2BBUENQRXBHwEoQTFBOgFCQUuBVwFlQXXBhkGUQZ2BooGkwaeBrcG4QcZB1QHhgepB7kHuQeuB54Hiwd4B2YHVgdLB0UHSAdTB2cHggefB7wH1AflB/AH9wf8CAEIBQgEB/sH5gfFB58HewdgB1MHUwdaB2EHYAdWB0UHLQcTBvgG2wa9BqEGigZ8BnkGfwaMBpoGqAayBrwGyAbXBuoHAQcYBy0HPgdKB1MHWgdgB2YHbwd6B4gHlwenB7gHyQfcB/MIDQgqCEgIZgiECKIIwAjaCO0I+Aj7CPwI/wkLCR4JOglcCYMJrgnRCdgJpgkeCDMG8QV6A/8CqwGbANQATwAD/+wADgBnAOsBgQIKAnECrgLLAtwC7wMJAyYDPwNNA1MDVQNWA1UDTAM3AxgC+QLiAtoC3gLlAuMC0wK1AowCXwIxAgMB1AGjAXABQAEWAPMA2QDDAKgAfAA2/9D/Uv7N/lT99v24/Y/9cf1b/Vf9ev3P/k3+0v8w/0T/DP6p/lH+Mv5e/sb/SP/FADAAjQDmATkBdQGDAVUA+gCWAFYAVACQAO0BQwFyAXEBTAEcAPcA5QDhAOAA1QC5AI0AUwAR/8z/hv9C/wL+xv6S/mX+Qv4r/iP+KP44/kn+Uf5G/ib99/3G/aL9lf2g/b395P4M/jf+af6r/v3/Xv/EACsAjgDwAVMBtQIUAmgCrwLoAxgDQwNsA5EDsAPGA9YD4gPvA/8EEQQkBDYERgRTBF8EaARuBHAEbgRoBGIEWwRUBEsEPgQvBB0ECQP0A90DxwOwA5sDiAN3A2gDWgNMA0EDOAMyAy4DKAMfAw8C+gLiAsoCtAKhAo4CewJmAk8COAIhAgkB8QHZAcMBrwGeAY4BfgFqAVQBPAElAQ8A+ADgAMYArACUAH4AagBTADcAFP/u/8n/qf+O/3b/Xf9C/yX/B/7n/sX+nf5y/kj+Iv4D/ej9y/2p/YH9WP0y/RH89PzY/Ln8mfx5/Fv8Pvwh/AL74/vG+677mfuB+2L7PPsX+vv67frr+uv65PrS+rn6o/qX+pP6kfqI+nP6V/o6+iL6E/oK+gL5+fnw+en55vno+e358/n4+fv5+/n5+fr6A/oY+jj6Xvp/+pX6nvqk+rL6zvr2+xz7Nfs5+y77Ifsb+x77IPsX+vz61Pqp+on6efpz+m/6Y/pO+jf6JPoZ+hX6E/oN+gX5/Pn2+fP59Pn1+ff6AfoZ+kf6ifrW+x/7T/tW+y361/pn+fH5i/lB+RT4+vjo+Nb4wPir+Jz4lPiT+JL4kfiP+JH4lfia+Jj4ivhw+FL4Ovgs+Cf4I/gX9/733fe996X3mPeT95L3j/eM94n3ifeL94z3ifd/93D3WvdB9yT3Bvbq9tb2y/bH9sD2rPaC9kD17vWV9UH0+vTC9Jf0d/Rc9EP0KfQL8+jzxPOj84vzgPN+84LzhfOD83rzb/Nj81nzTvNB8y3zEvLz8tLysvKV8nryXfI88hjx8/HT8bjxpPGS8X3xYfFA8Rnw8/DO8KzwjPBs8E7wMvAb8Ajv+O/s7+Lv3O/d7+Pv7e/27/jv9O/o79fvwu+r75Hvd+9g70/vSe9N71fvY+9t73Xveu99733vd+9s71zvTu9I70zvXO9175Tvtu/Z7/vwG/A68FjwefCe8Mnw+PEp8Vnxh/G08eHyDPI08lfyd/KY8r3y5vMS8znzWfNx84fzpPPO9AX0RvSK9M31DfVK9YX1wfX/9kP2jfbd9y73eve69+r4C/gl+Dr4T/hj+Hj4jfin+Mn48vke+Ub5Zvl++ZP5rfnR+f36LPpX+n36ovrO+wb7Tfub++b8JvxW/H38pfzZ/Rz9bv3G/h3+bv64/v//Rf+L/9EAGgBsAM8BSQHWAm8DAQOAA+MELQRmBJcEyQT9BTIFagWlBecGMAaABtYHMQePB+8ITQihCOIJCwkdCR8JHgkmCTsJXwmNCcIJ/Qo+CocK1QsmC3ULwAwJDFIMnAzpDTYNfw3EDgUORQ6GDsgPCQ9JD4QPuw/vECIQVxCREM8RERFVEZkR2xIYElAShBK0EuQTFRNKE4ITuhPxFCMUTxR4FJ4UwxToFQ4VNBVaFYIVrBXXFgMWLRZWFn4WpxbOFvEXDxcmFzwXVxd9F6wX3xgNGC4YQRhOGFoYahh7GIgYixiEGHcYbBhoGGwYchh4GHoYeRh5GHkYeRh2GHEYahhnGGoYdBiCGJAYmRibGJkYlxiZGJ4YohieGIwYbRhIGCkYFxgTGBMYCBfnF7EXcBc1FwsW8BbbFsIWoRZ+FmIWUxZPFk8WTxZXFnMWsBcLF3EXxxf0F/IXzRebF3IXWBdKFz8XMhcmFyIXKhc6F0kXSxc7Fx8W/hbgFskWtBadFn4WWRYyFg4V7RXQFbQVlBVyFVIVOBUpFSYVLRU1FTgVLxUaFPsU1xSyFIsUYRQvE/YTthNyEzIS+RLJEqISgBJgEkASIBICEc0RvRGvEaARkBF9EWkRWhFREVARVRFcEWMRaRFvEXgRgxGNEZERjhGEEXgRcRF1EYgRpxHNEfYSHhJFEmoSjBKnErUStBKjEogSbBJTEkISNhIrEh0SDRH8EewR3BHIEawRiRFiET8RJBESEQQQ8xDaELsQmxB9EGYQVRBHEDgQJRAMD+wPyA+fD3YPUQ8wDxIO8g7JDpYOXg4sDgcN9A3vDe8N6Q3YDbkNkw1nDTgNAwzFDH4MMAviC58LbwtWC1MLXQtrC3ILcgtsC2gLbQt5C4kLkguNC3ULSAsMCsMKdAojCdgJmQlsCVMJTwlbCXQJlQm3CdEJ1wnACYkJNwjbCIUIPwgKB98HsQd6BzoG+Qa9BowGYwY7BhIF5QW4BZAFbwVTBTgFGwT5BNgEugSjBJEEgARrBFAELwQOA+4D0gO3A5sDewNXAzADCQLjAsACogKIAnICXwJKAjACDwHoAb0BkQFkATMA+gC0AGIACf+w/13/Ev7P/pT+Xv4u/gH91P2l/XH9Ov0E/Nb8sPyQ/HD8TPwi+/b7zfuq+4v7bftM+yr7Cvru+tj6xfqv+pL6cPpI+h358fnD+ZX5aflF+Sz5Ifkj+TH5S/l1+a758Pov+ln6Xvo7+fX5n/lM+Qb4z/if+G34M/fz97L3d/dD9xX26va99o72XvYw9gf14/XF9bD1pPWi9aj1r/Ww9aX1i/Vo9UL1I/UP9QT0/fT09OP0yfSp9Ib0Y/RE9Cn0EvP98+jz0PO185XzcfNM8yby/vLY8rTylPJ58mLySvIt8gfx2fGm8XTxRfEb8PXw0/C28J/wjvCB8HXwafBc8EzwOvAj8Abv4++975nvf+9w72zvce9774Tvi++O743viu+I74vvle+l77Xvwu/H78jvx+/J783vze/J78Pvxe/W7/nwJvBP8GbwafBh8FvwZPB88JzwtvDA8LXwmPBu8DzwBe/O75zvde9b707vSO9F70HvPO817yvvHu8M7vju5u7a7tbu2u7i7u3u++8O7yfvQu9b727vfe+P76vv0fAA8C3wUPBo8HjwhfCT8KPws/DC8NLw5fD68Q3xF/EU8QrxAPEB8Q/xJ/E78UPxOfEg8Pzw1PCu8I/wgfCN8Lfw+PFC8YHxrPHE8drx/PI28oLy1fMg81/zlPPF8/v0NfRw9Kn04fUZ9VT1kPXI9fj2IfZG9nD2ovba9xT3TPeB97X37fgs+G74r/js+SP5WfmT+dT6HPpm+q368fsx+3L7t/wA/En8jvzM/Qj9Rv2M/dz+NP6Q/u//Tf+sAAsAZwC8AQcBRQF4AaQBzgH6AigCWAKIArUC3gMBAx4DNANGA1UDZgN7A5MDrgPKA+UD/gQWBC8ESwRsBJIEugThBQUFKAVRBYQFwwYIBkgGeQaVBqAGpQazBtIHBQdCB4AHsgfSB94H2wfOB70HqweYB4cHdgdpB2IHYwdvB4UHoAe9B9gH8QgGCBkIKAg0CDoIOQgwCB4IAQfaB64HhQdmB1oHYQd1B4sHlgeQB3kHVgcwBwwG7QbTBr0GrAaiBqAGpgaxBrwGxAbJBs0G1AbhBvMHCAcbByoHMwc6B0IHSwdXB2QHcQd9B4gHlgemB7kHzwfmCAAIHAg8CF8IggijCMAI1QjiCOYI5gjnCO0I/gkaCT0JYgmHCaoJxgnRCbUJWQikB5AGLgSpAzMB+AERAIIAPwA2AF4ArwEfAZ8CGgJ8ArkC2ALnAvcDEAMrAz4DQgM3AygDIQMlAywDKAMQAuQCtAKSAokClwKuArsCtAKYAnACSQIpAhAB9AHQAaIBbwFAARwBAwDyAOEAxwCdAF4ADv+y/1L+9f6e/kv9+v2w/Xj9YP1u/Zf9wf3M/aP9S/zj/JP8fPyj/Pf9Xf3C/ib+k/8N/4r/6wAQ/+3/kv8v/vT+/P9C/6L/7AAC/+D/mf9O/xL+7v7W/r7+mf5o/i397/2x/XP9NPz3/L/8k/x1/Gf8Zfxt/Hz8kvyw/NT8+P0X/S39O/1H/Vz9gP21/fn+Rf6W/uv/SP+tABkAiADxAVABpAHwAjcCfAK7AvMDIgNHA2gDhwOkA78D1QPlA/AD+QQDBA8EHAQpBDMEOwRABEQERwRKBEoESQREBDwEMgQnBBsEDgP/A+4D2gPFA64DmAOCA24DWgNGAzIDIAMSAwYC/gL1Au0C4gLUAsQCsgKeAocCbwJXAkECLgIcAgoB9wHgAcYBrAGTAX0BawFdAU8BPwEqARIA+ADeAMcAsQCaAIEAaABRADsAJwAQ//X/0v+q/4L/X/9D/yz/GP8E/uz+0f6w/ov+YP4z/gj94/3E/ar9jv1u/Ur9JP0C/OL8xPyl/IL8XPw5/Br7/vvh+8P7ovuD+2j7U/s/+yT7A/rf+sD6rfqn+qf6pPqY+oT6cPpg+lj6VPpO+kL6MPoa+gT57vna+cX5sfmf+ZP5jvmQ+Zn5qvnA+dX55vnu+fD58Pn3+gj6Ivo9+lH6Xfpk+m/6g/qf+rz60frb+t/65vr1+wn7GfsY+wH62fqq+oL6aPpZ+k/6RPo2+iX6FfoI+fz57/nh+dT5zPnL+dD52fnh+eb56/n0+gn6L/pm+qf65fsN+w/65fqT+ir5wflt+Tn5IPkV+Qr49vja+L/4q/ii+KD4o/il+Kf4qfip+KP4lPh8+F/4Rvg3+DH4Lvgl+BH39ffV97z3rPel96T3pfel96f3qvet97D3rvep9573jvd49133Pvcf9wb29vbs9uH2zPan9m/2K/Xj9Z31X/Uo9Pf0zPSn9If0avRO9C/0EPPy89rzy/PD87/zuvOw86PzlfOI833zc/Nm81LzN/MX8vTy0vKz8pbyevJb8jvyGvH78eDxyvG28Z/xhfFn8UjxK/ER8Pnw4PDD8KLwfvBd8EPwMfAn8CPwI/An8C3wM/A18DHwJPAR7/nv4O/J77PvoO+P74Tvge+F747vm++n76/vsu+w76nvm++K73fvaO9h72bvde+O76zvze/w8BHwMfBQ8HDwk/C88OrxHPFO8X3xqPHP8fbyHfJC8mXyhfKj8sLy4vMC8x/zOPNQ823zlvPN9BP0Y/S39Qv1WfWg9d72EfY/9m32ofbf9yL3YveZ98H33vf2+A34Jvg/+Ff4bviJ+Kz42PkF+S35Sfla+Wn5f/mi+c/5/fok+kH6Wvp7+qz68PtC+5P72vwR/D38afyf/OT9Nf2J/df+HP5a/pX+1f8b/2r/wwApAKMBMgHSAnUDCgOFA98EIARRBIAEsgTnBR4FVQWQBdEGGwZuBsYHIgeCB+QISQipCPsJNglWCV8JWwlXCVsJbAmHCawJ3AoXCmAKsgsKC2ALsAv7DEQMkAzfDS8Nfg3GDgcOQg58DrcO9A8yD20PpQ/YEAgQORBuEKkQ6BEqEWsRqhHlEh4SVRKNEsUS/hM2E28TphPaFAoUNRRcFIEUphTOFPYVHxVHFW4VlRW9FecWERY8FmYWjxa2FtoW+RcVFy8XTRdyF54XzBf2GBcYLxhDGFkYcxiOGKEYqBihGJMYhhiAGIMYihiQGJMYkRiNGIoYiRiJGIkYiBiHGIgYjBiTGJoYoBiiGKIYoBigGKQYqRipGJ4YhBhgGDsYIRgTGA4YAxfnF7gXfhdHFx4XBBbxFtkWuBaUFnUWYxZZFlIWSBZCFlEWgxbbF0UXpRfdF+AXuBd7F0EXGRcEFvsW9xb5FwMXFhcvF0UXTxdJFzQXFxb5Ft0WwxaoFogWYxY6FhEV6hXGFaUVhhVqFVIVQRU4FTYVOBU4FTEVIRUJFOoUyRSlFH0UThQXE9oTmhNZExsS4RKrEnwSUxIvEhER9xHgEbIRpxGfEZgRjhGAEXERYxFcEV0RZBFuEXURfBGDEY8RnxGwEb0RwhHAEb0RvhHHEdoR8xIQEi4STxJ1Ep8SxxLmEvUS8BLZEroSnBKFEnYSahJdEksSOBImEhkSDRH/EekRyRGkEYARYRFJETURHxEGEOoQ0RC/ELQQrhCpEJ8QjRByEEwQHQ/qD7sPlQ97D2oPWQ8/DxYO4w6uDoMOZw5ZDk8OPw4kDf4N0w2pDYANVQ0iDOEMkww+C+8LsguQC4gLkQufC6YLpQufC50LpAu1C8cL0AvIC6wLgQtLCw8KzgqMCkwKEwnmCcUJsAmjCZwJnAmiCaoJqwmcCXUJNwjrCKAIXwgqB/sHyQeLB0QG/Aa8BooGZQZEBiAF9QXFBZUFagVHBScFCATmBMMEpASOBH8EdARnBFMENwQYA/kD3wPIA7EDlQNwA0YDGQLvAskCqQKOAnUCXAJCAiMB/wHWAasBfwFQARoA2gCLAC//y/9m/wj+s/5p/ib96v20/YP9VP0j/O78tPx8/En8IPv/++P7x/un+4b7ZPtC+yD6+/rV+q/6jfpw+lj6QPol+gT54Pm8+Zv5eflW+TL5Dfjv+Nn4zfjL+NL46PkQ+Uz5lfnb+gr6E/nx+bH5ZPkb+N34qPh2+D/4AvfB94T3Tfce9vT2y/ag9nP2RPYV9en1wPWf9Yf1efV29Xn1ffV89W/1VvU09RD08fTe9NT00PTJ9Lv0ofR+9Fb0LfQI8+nz0PO786jzk/N681vzOvMX8vby1vK58p3ygvJn8kvyLPIH8dzxrPF78UzxIvD78NfwtvCY8H3wZfBQ8D7wL/Ah8BfwDO/97+bvxe+c73LvTu8y7yHvGe8a7yHvMO9D71bvZu9y73zvie+c77Tvze/k7/Tv//AC8ADv9u/m79bvz+/a7/bwHvBE8FvwX/BW8EvwSfBT8Gfwe/CH8IXwdPBU8Cnv9u/E75fvdO9c70zvPe8u7x/vEu8J7wbvBe8G7wjvDO8Q7xLvD+8G7v3u+e8C7xXvLO8870HvP+9E71zvi+/I8APwMPBJ8FbwYfBv8IDwi/CO8IrwivCW8LDw0PDs8Pvw//D+8QDxCfEX8SfxM/E78T3xNfEk8Qnw6/DX8Nbw6/EQ8TnxYPGG8bLx7fI48ory2vMd81XzifPB9AD0QPR89LD03vUO9UP1fvW49ez2GfZB9mz2nfbU9w33Q/d496336Pgo+G34sPjv+Sr5ZPmh+eT6Kvpw+rH68Pst+277svv6/EH8hfzF/QX9S/2Z/fD+TP6r/wj/Zf/CACAAewDNARMBSgF3AZ4BxwH0AiUCVwKHArUC4QMKAzEDVgN3A5UDrgPFA9oD7QP/BBAEHwQwBEUEYASEBK4E2QUDBSkFTwV6Ba8F7QYtBmUGjQakBrEGwAbaBwQHOgdzB6YHzQfmB/IH9AfvB+cH3AfPB8EHsQehB5UHkAeWB6UHvAfXB/IIDggqCEYIXghvCHUIbwheCEIIHAfvB70HkQdzB20HgQemB8sH4gffB8MHlQdjBzUHEAb0BuAG0wbMBswG0AbWBtoG2wbbBt0G5QbyBwQHFQciByoHLwc1Bz8HTgdgB3EHfweJB5IHnQesB8EH2gf1CBIILwhQCHQImAi4CNAI3QjeCNgI1AjbCPQJIAlYCZIJwwnhCekJ2gmsCVMIvAfWBqIFMwO0AlYBRACUAEYASgCHAOkBXAHUAkEClgLMAuUC7QL1AwcDIQM6A0QDOAMdAwEC8gLzAvoC9QLYAqYCbwJKAkQCWgJ7Ao0CgwJeAi4CBgHyAe4B7QHjAccBngFyAUwBMAEYAP4A3ACyAIMAVAAo//3/0P+b/1z/Ev7E/nr+QP4Z/f/94v2v/V388fyA/Cb78/vq+/78HvxE/HX8vP0b/YH90v3u/c39f/0t/P/9Cv1F/Y39vv3C/Zv9X/0o/QT88vzm/NL8svyJ/F/8O/wd/AH75PvH+7D7pfur+8D73fv9/B38P/xo/J383v0k/Wv9rv3t/iz+cP68/w//Z//AABoAdgDUATIBiwHdAiUCYwKZAsgC8wMZAzkDVANtA4UDngO1A8sD3APoA/AD9wP+BAUEDAQTBBgEGgQZBBYEEwQQBA0ECwQHA/8D9QPpA90D0gPIA7sDqwOXA4EDawNXA0MDLgMWAv4C6QLZAs8CxgK8Aq8CngKMAnwCbQJdAkkCMQIXAf0B5wHVAcQBswGdAYQBaQFPATgBJAEUAQUA9ADiAMwAtQCeAIgAcgBaAEEAJQAI/+7/1v+//6f/iv9o/0T/Iv8F/u7+3P7L/rb+nP57/lP+Jv34/cz9pv2G/Wv9T/0w/Q386fzI/Kr8jPxr/EX8Hfv4+9j7vvuk+4f7ZftB+yH7B/ry+t36xPqn+ov6dvpp+mP6XvpW+kn6O/ot+iP6G/oS+gj5+/nt+d35zPm4+aH5iPlv+Vj5Rfk6+Tv5Svlp+ZP5vvng+fP5+Pnz+e/58Pn4+gL6DPoV+h36J/oz+j36RfpO+lv6b/qL+qj6vfrB+rL6lfpx+lH6OPoo+h/6GPoR+gf5+fnm+dD5uvmn+Zv5mfmf+av5uPnE+c751fnb+eP58voP+j36efq2+uH65vq9+mz6Cfms+Wv5S/lB+Tr5KvkL+Ob4xfix+Kn4qfiq+Kj4pPie+Jj4j/iC+HH4YvhW+FD4TPhD+DP4Gvf99+L3z/fE98H3w/fH98330vfW99f31PfP98j3vfes95P3c/dR9zL3G/cM9v/27PbM9p/2avYz9f/1zvWf9W/1PvUO9OP0v/Sh9Ib0a/RR9Dj0I/QR9ALz9PPm89nzzfPC87jzqvOZ84DzY/ND8yLzAvLk8snyrvKU8nryYPJG8i3yE/H58d7xwvGm8Y3xefFo8VfxQfEj8Pvwz/Cl8IPwbvBj8GHwY/Bl8GfwaPBl8FzwTPA08Bjv/e/n79bvyu/D77/vwO/G79Dv3e/p7/Dv7+/n79jvxO+v75vvi++C74Pvje+g77vv2u/78B3wPfBc8H3wofDN8QDxN/Ft8Z7xyPHt8hDyM/JX8nrym/K48tLy6/MD8xrzNPNS83rzrPPs9Db0iPTe9Tf1jfXb9hz2TPZx9pD2tfbi9xb3R/dw94z3ofe499X3+fge+D74WPhz+JH4tvjd+Pz5D/kY+SL5Nvla+Yr5u/nj+fz6D/on+lH6j/re+zL7gPvC+/z8Nfx0/L39Cv1V/Zr92P4T/lT+nv7z/0//swAiAKABMQHPAm4C/gNyA8YEBAQ4BG0EpwTkBR4FVQWLBcgGEQZkBr8HHAd7B9sIPQieCPYJOwlmCXkJewl3CXYJfQmMCaUJygn+CkUKnAr8C1oLrwv5DDwMfwzIDRYNZg2xDfUOMQ5oDqAO2g8XD1QPjA/AD+8QHxBTEIwQyxELEUoRhRG9EfUSLxJsEqkS5RMfE1YTjBO+E+0UFhQ7FF0UgRSoFNIU/RUnFU0VcxWZFcIV7RYZFkMWahaNFq4WzhbuFw8XMxdaF4UXsBfYF/oYFhgwGE0YbhiRGK4YvhjBGLgYqhieGJgYlxiYGJgYlhiSGI8YjhiPGJAYkhiUGJQYlBiWGJkYnRihGKIYohigGKAYpBimGKAYjhhvGEkYKRgWGA4YCBf3F9QXohdtF0AXIRcJFvIW1Ra1FpoWiBZ7Fm4WXBZLFksWaxawFwwXZBebF6IXfxdEFwsW4hbMFsYWyBbQFt8W9xcTFzAXQxdJF0AXKxcPFvAW0hazFpIWbxZHFhsV7hXCFZwVfhVoFVoVURVLFUcVQBU2FScVFBT/FOgUzhSuFIMUTBQNE8gThRNEEwYSyxKRElsSLBIGEekR0xHAEZwRjRGEEX8RexF0EWsRYxFfEWMRaxF1EXsRgBGIEZURqhHBEdcR6BH1EgESEBIiEjYSSBJWEmQSdhKQErMS1xLzEv8S+hLoEtASvBKtEqESkxKCEm0SWRJMEkUSQRI6EikSDRHpEcQRoxGFEWkRTBEuERIQ/RDxEO0Q7xDwEOwQ3xDIEKUQdhBAEAsP3w/BD7IPqQ+cD4IPWg8rDv0O2A68DqMOhw5jDjcOCg3gDb0Nmw1xDTkM7gyWDD4L9QvHC7cLvgvNC9kL3QvcC90L5gvzC/4L/QvsC80Lpgt7C1ALIwrxCrwKiQpbCjUKFAn2CdgJvAmlCZUJiAl3CVgJKQjuCLAIdwhHCBoH5weqB2AHEgbJBowGXQY3BhIF6AW5BYkFXQU3BRcE+ATYBLUElAR7BGwEZgRiBFgERQQqBA4D9QPgA8sDsQOPA2UDNgMIAt4CuQKXAnYCVgI0AhAB6QG/AZIBYwEwAPQAqQBN/+P/cP8A/pv+Rf3+/cH9i/1Z/Sr8/PzM/Jn8Yvwq+/X7yful+4j7bvtS+zL7D/ro+r/6lfpu+kz6Mfob+gb56/nJ+aL5e/la+T75I/kF+OT4wfij+I34f/h5+H74k/jA+Qf5XPmp+dn52/mz+XD5KPjo+LX4iPhX+B333fec92D3Lfb+9tP2qfZ99lH2JPX09cX1mPVx9VX1RvVB9UL1RPVB9Tf1IvUF9OX0yfS09Kj0ofSX9IT0ZvQ+9BHz5fO9853zhfNx82HzUfM/8ynzEvL68uPyzfK38p7ygPJf8jryEvHp8b7xkvFo8T/xGfDz8M7wqfCF8GLwQvAk8Anv8u/h79Xvze/D77Lvlu9y70rvJe8G7u/u3+7X7tnu6O8B7x/vO+9S72Tvee+W773v6fAS8C/wO/A48CjwD+/y79bvwu+978nv4vAC8B/wMvA68DvwOfA58D7wSPBU8FzwXfBQ8DXwD+/k77rvku9s70bvHe717tXuwe667r7ux+7T7uDu8e8D7xLvGe8W7w7vDO8X7y7vRu9R70nvNO8l7y/vWe+a79/wFPA08EbwVfBo8Hnwf/By8FXwOvAw8EDwZPCP8LHwwvDG8MbwyPDR8N/w8fEE8RfxI/El8Rfw/PDg8M7wz/Dl8QvxO/Fz8bPx/PJK8pby2fMR80TzfPO99Ab0TfSI9Lb03fUG9Tj1cfWt9eT2E/Y+9mr2nPbS9wr3QPdz96n34/gj+Gb4qvjq+Sb5Yvmg+eP6KPpv+rT69vs1+3T7tPv2/Dn8ffzC/Qv9WP2r/gT+YP6+/xv/ef/YADUAjQDbARsBTwF6AaIBzQH7AisCXQKMArkC5QMSA0EDcAOfA8gD6gQEBBYEIwQsBDQEPQRLBGAEfQSjBM4E+wUmBU4FdgWjBdcGEgZMBnwGnwa4Bs8G7gcWB0YHdgegB8IH2wfwCAEIDQgUCBUIEwgMCAIH9AfhB84Hvwe5B78HzwfoCAYIKAhMCHAIjwiiCKYImwiCCGAINQgDB9AHoweIB4oHpwfXCAcIJggoCA0H3QelB28HQAccBwIG9AbuBu8G8gbyBu8G7AbrBvEG/gcQByAHLQc0BzgHPQdHB1UHZwd6B4oHlgeeB6UHrwe8B88H5ggBCB4IPQhfCIEIoQi7CMoIzgjICMAIwAjUCQEJRQmVCd0KCgoQCesJmwkjCIAHrAahBWUEDQK+AaAA1QBtAGMAoQEMAYoCBwJzAsUC+QMQAxUDEgMTAx0DLQM3AzQDHwMAAuIC0QLLAskCuwKZAmQCLAIHAgMCHQJCAlkCUQIpAfEBwgGtAbEBwwHQAcwBtwGbAX8BaQFSATQBCQDTAJwAbQBLADgALQAiAA7/7//E/5P/YP8v/wD+zP6L/jf90/1o/QT8sPxx/ED8Gfv5++T74vvy/Av8GfwN++H7pftv+1f7ZfuO+7v71vvX+8T7sPuq+7b7zPvg++j74vvX+9D70fva++X78Pv7/Az8KPxQ/IH8svze/QL9Jf1Q/Yr91f4r/ob+3f8r/3T/ugABAEwAmQDnATIBeQG7AfcCLwJiApACuwLjAwcDJgNBA1gDbQOCA5cDrAO+A80D1wPdA+ED5APlA+UD5gPoA+oD7APqA+UD3APTA8sDxQPAA7gDrgOiA5gDkQOMA4UDeQNoA1MDPgMqAxcDAQLoAswCtAKiApcCjwKFAnUCYAJKAjcCJwIZAggB8gHaAcABqgGWAYQBbwFXATwBIQEGAO4A2ADFALMAogCSAIEAbwBaAEUALwAY////4//F/6b/iv9x/1r/Qf8k/wT+5P7G/q3+mf6G/nH+WP46/hb97v3E/Zv9df1T/TT9Ffzz/M78qfyG/Gf8Svwr/Af74Pu6+5n7f/tn+037LfsI+uT6xPqr+pb6gvpt+lf6Q/oz+ib6HfoU+gr6APn2+e354/nY+c35wvm4+a35ofmS+YD5a/lT+Tj5Gfj6+OH42fjp+RL5TfmN+cT55/n3+ff58fns+ez57/ny+fH56fnc+cz5wvnC+dH57PoK+ib6N/o7+jb6Kvoc+g76Afn3+fL58fnx+e354PnJ+a35kvmB+Xz5gvmL+ZT5mvmh+az5u/nK+df54fnu+gn6OPp4+rj63/ra+qT6TPnt+aH5dvll+V35Tfkt+QP43PjC+Lf4tfiz+Kr4nfiQ+Ij4hfiH+Ij4ifiJ+Ij4hfh8+Gv4Ufgx+BL39/fm99/34Pfn9/H3+vf/9//3+vf09+735/fb98X3pPd991b3OPck9xX3BPbp9sT2mvZy9k72LfYL9eL1svV+9Uz1IvUA9OP0x/Sr9I30cPRU9Dz0KPQa9A/0B/P/8/Tz4vPL87Dzk/N281rzP/Mj8wfy6/LR8rnyovKL8nLyVvI58hzyAvHs8dvxzvHB8a/xlfFv8UHxD/Dh8L3wp/Cc8JjwlvCS8I7wiPCA8HTwY/BM8DHwF/AD7/bv7+/t7+zv7+/28ALwEfAh8CvwLfAl8BbwA+/u79nvxu+376/vr++478vv5PAC8CDwPvBc8HzwofDP8QXxQPF78a/x2/H/8iDyQfJk8obyp/LD8tzy8/ML8yjzS/N186fz3/Qe9GH0qfT49Uv1oPXw9jL2YvaD9p/2vfbj9w33MfdJ91b3X/dx95H3vffq+A/4KPg7+FD4aviI+KH4sfi5+MT42/kD+Tf5bPmX+bT5yPng+gX6PPqE+tP7Ivtt+7T7+/xE/I781v0Z/Vj9mP3h/jf+m/8H/3T/3wBLAL4BQAHNAlwC4ANOA6ID5gQjBGQEqQTsBSgFXAWNBcYGDQZkBsUHKQeKB+kIRQidCOwJKwlTCWcJawlrCW0JdgmECZoJugnrCjEKiwrwC1QLrAv1DDIMbAytDPYNRQ2TDdsOGg5TDosOxg8DDz8PeA+rD9oQChA+EHcQthD1ETIRahGiEdoSFhJWEpYS0xMNE0MTeBOrE9oUAxQmFEUUZBSIFLEU3BUFFSwVUBV3FaIV0RYAFikWTBZpFoUWpBbIFu8XGRdEF3EXnRfIF+4YDxgsGEkYZxiIGKgYwhjSGNUYzRjBGLQYqhikGKIYoRigGJ4YmhiXGJUYlBiUGJMYkBiPGJAYlBibGKIYpBihGJ0YnBidGJwYkhh7GFsYOxglGBwYGxgUF/wX0hedF2oXQRcjFwoW8RbXFsAWrhagFpEWfBZlFlgWYhaIFsIW/RcjFyoXFRbwFs4WtharFqgWqRatFrkWzxbuFxEXLxdAF0AXMBcUFvEWzhatFo8WcBZLFiEV8RXBFZgVeRVlFVoVVRVPFUcVOhUpFRUVAhTwFN8UyxStFIEUSBQEE70TeBM4EvkSuxJ/EkcSGRH1EdoRxBGvEZMRfhFxEW0RbRFsEWgRYhFfEV8RYxFpEW8RdhGDEZcRsxHREe0SBRIbEjMSTxJtEoYSlxKfEqMSqRK2EsoS3xLuEvES7BLhEtcS0BLJEr4SqxKTEnsSaxJmEmoScBJvEmESRxIkEgAR3xHAEaERgRFhEUMRLBEeERYRExEQEQwRBRD5EOYQxhCbEGkQORATD/wP8Q/rD94Pxg+gD3MPRA8YDu0OwA6QDl4OLQ4BDdwNvA2YDWcNIwzPDHcMKgv3C+ML6Av7DA0MGQwfDCQMLAw0DDYMLQwVC/UL0wu2C5oLewtUCyQK8QrBCpgKdApQCicJ+QnMCaUJhAlnCUYJHgjtCLgIhghaCDEIBQfQB4wHPgbrBpwGWAYgBfAFxQWaBW8FSAUmBQgE6wTMBKkEhgRqBFkEVQRXBFcETgQ8BCMECgP0A98DyAOpA4IDVQMlAvYCyAKcAnICSQIgAfcBzQGhAXEBPwEGAMIAbAAC/4j/B/6O/in92/2h/XP9Sv0f/PP8xvyZ/Gr8OfwH+9b7qfuC+2D7Pvsb+vT6yPqZ+mv6Qfog+gr5/vn2+en50fmu+YX5X/k/+SX5Cvjp+ML4mPhz+Fb4Qfgy+DD4RPh5+M35MvmK+bv5uPmG+T349vi/+Jb4bvg89/z3tvdy9zf3Bvba9q72g/ZX9iz1//XO9Zn1ZvU69Rr1CfUE9QX1B/UF9Pz06/TS9LX0mfSC9HL0Z/RZ9EL0IPP288jznfN5813zSPM48yrzHvMS8wXy9/Lp8tvyy/K38p7yffJW8izyA/Ha8bTxjvFo8ULxG/Dz8MvwpPB+8FrwN/AW7/Xv1u+776bvle+E73DvVe817xPu9e7d7sruuu6u7qnur+7B7tzu+e8U7y/vUe9+77jv9fAp8EnwUPBC8CrwEO/47+Pv0e/C77rvvu/Q7+7wEPAt8D7wQfA68DHwLfAy8DvwQfA88CrwDO/p78Pvl+9i7yDu2O6U7mPuTe5N7lvuau5z7nvuhe6X7q3uwe7P7tru6u8G7y7vVO9o72LvR+8s7yfvQ+9577fv6vAL8B7wMPBG8FzwZfBY8DbwEe/67/3wGfBA8GLwd/CB8IfwjvCW8KDwqPCx8LzwyfDU8NbwzvDC8Lrwv/DY8QLxO/F98cXyEvJd8qDy2vML8z3zePO99Aj0T/SJ9LX03PUH9Tr1c/Wt9eD2DfY39mb2mvbU9w73Rfd596735vgi+GP4pPjj+R/5WvmX+dn6Ifpu+rz7BftI+4X7v/v6/Dn8f/zJ/Rj9av2+/hb+cf7Q/zL/lP/0AFEApQDvAS0BXwGKAbMB3QILAjwCbgKfAs8C/QMtA14DkQPEA/MEGgQ2BEYETgRRBFQEWwRoBH0EmQS+BOgFEwU/BWkFlAXEBfkGMQZnBpQGtwbXBvkHIwdTB4EHqAfEB9kH7AgCCBcIKQgyCDMILwgpCCIIFggFB/AH3QfRB9QH4wf+CCAIRQhtCJMIsQjDCMQItgicCHkITwgfB+0HwQepB6wHywf7CCwITAhTCEAIGgfoB7EHewdLBycHEwcNBxAHEgcPBwgHAgcFBxEHJQc5B0cHTgdSB1cHYQdxB4IHkwehB6wHtgfAB8sH1AfdB+gH9wgMCCgISAhpCIcInwiuCLUIswitCKsItAjUCQwJVwmlCd8J7wnICWYI0AgPBywGLAUSA+wCzgHUARoAsgCeANEBNQGuAicCkALgAxUDMQM8Az4DPAM7AzoDNQMqAxUC+wLeAsMCrwKhApECegJUAiEB7QHHAb4B0wH7Ah8CKAIOAdkBnwF3AWsBeQGQAaABogGYAYkBfAFuAVkBOAEHAM4AlQBnAEkAOwA6AEAARABCADYAIAAB/93/tf+I/1H/Df6+/mb+C/20/WL9FfzM/Ij8SvwR+937qvt3+0b7G/sB+vr7Bvsc+zH7PftB+0b7U/tx+537zPv4/Bj8L/xE/F38ffyj/Mv89f0h/VP9jf3N/gz+Q/5s/or+pf7G/vj/Ov+I/9oAJgBnAJ8A0QEDATkBcwGuAeYCGQJEAmgChwKjAr8C3QL8AxkDNQNMA2EDdQOIA5oDqgO1A7wDvwPCA8MDwwPAA7sDtQOyA7MDtAO0A64DogOVA4kDgQN7A3MDaQNdA1MDTgNMA0kDQgMzAyEDDQL8AusC1wK9AqAChQJwAmMCWgJQAkACKQIQAfkB5QHUAcIBrwGZAYQBcAFcAUYBLAEPAPEA1wC/AKoAlgCBAG8AXgBPAD4AKwAV//z/5P/O/7j/of+H/2n/Sv8s/xH+9/7b/rz+nP59/mL+Sf4x/hr+Af3m/cr9rP2L/Wj9RP0h/P/83fy5/JH8afxD/CL8Bfvq+8z7qfuE+2D7Qvso+xD69PrU+rH6kPpy+ln6RPoy+iD6D/n/+fD54vnU+cn5v/m3+bD5qPmg+Zb5i/mA+Xb5avle+VP5SPk7+Sn5C/jh+LD4hfhv+Hn4pvju+UL5kvnP+fX6CPoO+hD6EfoO+gH55fm9+ZH5cPlj+W35iPmm+b75y/nQ+dP51/nb+dz52fnU+dP52fnh+eX52/nE+af5jvmC+Yb5kfma+Zr5k/mO+ZP5pvnB+dn56Pnw+f36G/pP+o/6w/rV+rj6cvob+cz5l/l8+W75W/k8+RX48Pja+NL41PjT+Mr4uPil+Jn4lvie+Kv4ufjG+M740PjI+LX4lvhw+En4JvgM9/73/PgE+BH4Hvgl+CX4H/gY+BP4EPgK9/r33Pey94b3YPdF9zH3HPcC9uD2u/aa9oD2a/ZV9jb2DvXf9a/1hPVe9Tz1GfT09M30p/SF9Gr0VvRI9D/0N/Qv9CL0D/P4893zwvOo847zdPNX8zfzFvL18tjyvfKj8onybvJU8j7yLvIk8h3yFPIE8erxxfGW8WTxMvEG8OXwz/DC8LrwsvCo8J3wkfCF8HjwZ/BT8DzwKPAa8BPwEvAS8BPwFfAb8CjwPPBR8GTwbfBt8GTwVvBD8C7wFu/+7+vv4O/f7+nv+vAP8CbwPPBV8HLwl/DF8PvxNvFy8ajx1/H+8iHyQvJj8oTyo/K/8tjy8vMQ8zbzZPOZ89L0DfRJ9IX0xvUM9Vj1p/Xv9ir2VPZw9on2p/bN9vT3E/cj9yX3Jvcx90/3evek98T30/fZ9+H38/gO+C34R/hc+HH4jfi0+OX5F/lB+WL5fvmc+cX5+/o8+oX60Psc+2n7t/wE/E78k/zV/Rn9af3K/j7+vf8+/7UAIACDAOcBVAHNAkwCxQMvA4gD1AQbBGMEqgTsBSQFUwWBBbkGBQZlBtUHSAe3CB0IdgjDCQAJKwlCCUgJRQlCCUYJUQllCX8JownVChsKdArYCzwLlQveDBsMVQyUDNwNKw15DcIOBA5ADnsOtw70DzAPZw+ZD8gP+BAsEGcQpBDiER4RVhGNEccSBhJIEooSyBMBEzcTaxOeE88T+RQcFDoUWBR6FKEUyxTzFRcVORVeFYoVvBXtFhgWORZVFm8WkBa3FuMXEBc8F2gXlhfEF/EYGBg3GE4YYxh5GJQYsRjLGN4Y5RjiGNcYyhjBGLwYuxi7GLoYtBitGKUYnxibGJYYkBiJGIYYiBiPGJkYnhicGJUYjxiNGI4YjRiCGGsYThg1GCcYIhgeGA8X7he/F40XYBc8FyEXBxbtFtUWwBawFqAWjhZ4FmUWXBZhFnIWhRaSFpQWjhaHFoUWiRaNFo0WihaJFpEWqBbMFvYXGxcxFzIXIRcCFt0WuhacFoIWZxZIFiAV8xXFFZ0VfxVrFV0VUhVGFTcVIxUMFPUU3hTMFLwUqRSOFGcUMRPzE7ITcRMyEvMSsxJ1EkASFhH4EeARyBGuEZQRfhF0EXURexGAEX4RdxFtEWURYBFeEWMRbxGFEaQRxxHoEgQSGxIzElAScxKYErgSzhLaEt8S5BLqEvAS8hLtEuQS2hLWEtgS3RLcEs8SthKYEn0SbxJxEnwSiBKKEn8SaBJKEi0SERH3EdwRvxGhEYURbBFXEUURNBEmERsRFREUERIRCBDxEMwQoBB1EFQQQRA5EDIQIxAFD9kPog9lDyYO6Q6sDnEOOQ4IDd4Nug2WDWkNLQziDJIMSwwcDAoMEQwnDD4MTwxaDGIMagxwDHAMZQxODDIMGAwDC/AL2Au1C4ULUAsdCvAKyQqhCnIKOwoACccJlglsCUcJHwj0CMQIlQhoCEEIGwfxB7oHdAcfBsQGawYfBeEFsQWIBWIFPgUcBPwE3AS7BJgEdQRXBEYEQgRHBE4ETgRCBC4EFQP+A+gD0gO3A5QDagM5AwQCzwKaAmcCOAILAd4BsQGAAUsBEgDRAIIAIf+r/yb+nv4k/cb9hf1d/UD9Ivz+/NP8pvx6/E/8Jfv5+877o/t5+1H7KPr8+s76nvpu+kL6HvoH+fz5/Pn++fv56/nO+av5ifls+U/5LfkA+Mr4k/hi+Dr4G/gC9/b4BPg5+Jb5B/lq+aD5m/ll+Rr41/im+IP4W/gh99b3hfc99wP21/aw9of2XfYw9gP11fWg9Wj1MPUA9N/0z/TM9M700PTO9MX0tPSa9Hv0W/RB9C/0IvQU8/7z3fO084nzY/NG8zDzH/MR8wTy+fLu8uTy1/LK8rzyrPKa8oLyZPJB8hvx9vHU8bLxkPFr8UTxG/D08M7wqvCI8GjwSPAm8APv3e+275LvcO9S7zXvFu737tvuxO6y7qPulO6E7nfuc+577o3upu7D7uPvDO9B73/vu+/o7/zv+O/o79vv2u/n7/jv/+/47+bv1e/S7+TwBfAo8EDwRfA68CrwH/Ac8B3wGPAH7+zvzu+176Dvhe9W7w7utO5d7h/uBe4L7h7uLO4s7iLuGO4Z7ifuPu5W7m/uje647uzvIe9H71bvTu897zbvRO9l747vsO/E79Dv3e/x8AvwH/Ak8BjwBO/27/fwB/Ad8DDwPfBI8FTwZfB08H7wf/B68Hfwe/CG8JPwnvCl8K7wwPDe8QnxQfGD8cvyGPJi8qTy3PMN8z7zd/O69AH0RPR+9K/03vUQ9Uj1gfW29eT2DfY39mj2ofbe9xv3U/eI97v38Pgp+Gb4pPjh+Rz5VvmS+dT6Hfpt+r77C/tP+4v7wvv8/D/8ifza/S39f/3S/ij+hP7l/0r/rgAPAGkAugEBAT4BcAGbAcMB6wIYAkoCgAK3Au0DIANQA4ADsQPjBBUEPwReBHAEdQR1BHYEewSIBJsEtQTWBP0FJwVVBYIFsQXjBhcGTAZ+BqoG0Ab2Bx8HTQd9B6YHxAfZB+wIAAgYCCwIOAg3CCwIHwgWCBIIDggFB/gH7AfpB/MICQgoCEoIbgiRCLAIyAjUCNQIxwixCJMIbQg/CA8H5QfPB9QH8QgcCEQIXghmCFwIRggkB/cHwQeKB1wHQQc4BzkHOQc0ByoHIwcoBzkHTwdiB2wHcAd0B34HjwekB7YHwQfIB88H2wftB/8ICwgRCBMIFwgkCDoIVQhwCIUIkgiZCJ4IowiqCLgI0Aj2CSsJZgmWCaQJewkRCGkHjwaWBYsEfANyAn0BsAEdANEAzgEHAWcB2AJHAqYC7QMcAzYDQwNJA08DVANVA0sDNgMYAvcC2AK9AqUCjAJxAlQCNAIPAeQBtQGLAXYBfwGlAdcB+wH6Ac8BiAFBARMBCQEdAT0BVgFfAVkBTQFBATcBKQESAO8AwQCQAGQARQA3ADkARwBXAGEAYQBWAEUAMQAdAAb/6P++/4X/Qf73/qv+Yf4Z/c/9gv0z/Ob8n/xl/Dv8IfwU/BD8EfwT/Bf8HPwm/Db8UPxz/J38yfzz/Rr9P/1k/Y39uv3q/h7+Vf6Q/tD/E/9W/5H/vv/c/+3//AASADUAaACmAOUBHQFLAW0BiQGlAcUB6gISAjsCYAKBApwCsgLGAtoC7wMGAx0DMwNGA1cDZwN1A4EDigOOA5ADkQOTA5cDmAOWA44DhQN9A3kDdwN1A24DYQNSA0YDPgM5AzQDKgMeAxMDDAMKAwoDBQL7AusC2wLLArwCqwKUAngCWwJDAjICJwIdAg0B+AHgAcYBrgGXAYEBbAFYAUUBMgEeAQYA6ADJAKsAkwCAAHAAXwBNADkAJgAVAAP/7P/R/7P/mP+A/23/W/9F/yn/Cf7o/sn+q/6N/m/+Uf4z/hf9+/3e/cD9o/2I/XD9Wf1A/SL9APzc/Lr8mfx3/FP8K/wD++D7w/uq+5L7dftS+y37Cvrs+tL6ufqe+oD6YfpC+ib6D/n7+ev52/nM+bz5q/ma+Yr5fvl1+XD5bPln+WD5VvlK+T35L/kj+Rv5Gfkb+Rr5DPjr+Lf4d/g8+Bn4G/hI+Jn4+/lc+az55foI+h/6Lvoz+in6CPnR+ZH5Wfk5+Tf5Svll+Xz5ivmU+Z/5q/m2+bn5tvmy+bX5wvnW+eT54vnP+bP5nvmY+aP5svm7+bX5pfmV+ZL5oPm7+df56fnx+ff6CPot+mD6k/qv+qX6dfou+eX5rPmI+XL5XvlF+Sb5Cvj6+Pj4//kF+QT4+fjq+N341/jZ+OL48fkC+RH5GPkS+P743fiz+If4YPhC+C/4Kfgt+Dj4RPhL+Er4Qvg6+Db4OPg4+DD4Gff098n3n/d992L3Rvcm9wD22va69qP2lPaF9m/2T/Yp9f/11/Ww9Yj1XPUu9P701PSx9Jf0hfR39Gv0X/RS9EP0MvQc9APz5/PK86zzjfNt80nzJPL/8tzyu/Kd8oLyavJX8kzyR/JH8kXyO/Il8gHx0vGf8W7xQfEb8P3w5fDT8MTwuPCs8J/wk/CG8HjwaPBX8EfwO/A18DfwPfBD8EjwS/BS8GDwdfCN8KHwrvCx8KzwovCS8HzwYvBF8CvwG/AV8BnwI/At8DjwRPBV8G3wjvC48OrxIPFZ8ZHxxPHw8hfyOvJb8nrylvKw8svy6PML8zbzafOh89v0FvRR9I70z/UU9Vz1ovXg9g/2MPZG9l32fPak9s327vb99v32+/cC9xr3Pvdf93P3dPds92n3dveX98T38/gd+EH4YviF+Kr4z/jx+RH5M/la+Yv5xvoH+k36lfrf+yz7efvF/A78VPyf/PT9Xf3a/mj++v+E//wAYgC7ARMBcgHcAk0CvgMlA4AD0AQZBF0EnQTWBQYFMQVhBaAF9wZmBucHbwfxCGUIwwkJCTYJSwlKCTsJJwkXCRQJHgk1CVYJggm5Cf8KUwqvCwsLYAurC+4MMQx4DMQNEw1gDagN6g4pDmgOpg7kDx8PVQ+GD7YP6BAdEFYQkhDOEQgRQBF5EbUR9RI4EnsSuhLzEygTXBOOE78T6xQQFDEUUxR4FKEUyxTxFRAVLRVNFXQVpBXVFgIWJxZHFmgWjxa8FusXFxc/F2UXjhe9F+8YHRhBGFkYZxhzGIQYnRi7GNkY8Bj7GPsY8hjmGN0Y1xjVGNMYzhjHGL4YthiwGKgYnRiRGIUYgBiDGIsYkhiTGIwYgxh9GH8YhBiEGHcYXhhAGCcYGBgPGAQX8BfQF6gXfxdZFzcXFxb3FtgWvhapFpoWixZ6FmcWVBZDFjYWKhYfFhkWHBYrFkIWWhZqFm4WahZoFnMWkBa8FusXERciFx0XBhbmFsYWqRaSFnwWYxZDFhwV8hXKFagVjRV2FWIVTBU2FR4VBRTsFNIUuhSlFJMUgBRmFEIUFBPdE6QTaxMwEvMStBJ3EkISGxH+EeYRzRGwEZgRiRGHEY4RmRGgEZ8RlxGJEXoRbRFmEWkReBGUEbcR2xH6EhISJxI/El4SgxKpEskS4BLxEv4TCRMRExETBhLyEtwSzhLNEtgS5RLqEt4SwxKgEoIScRJvEnYSfxKBEnoSbRJdEk0SPRItEhcR/hHiEcYRrRGWEYARahFWEUYRPRE7ET0RPBEzERsQ+RDQEKsQkBB/EHQQZRBKECAP5g+hD1gPEA7KDokOTQ4WDecNvQ2SDWINJQzeDJQMVQwsDB8MLAxGDGIMeAyHDJIMnQymDKkMowyTDH8MawxZDEgMMQwNC94LpwtwCz4LEArgCqoKbAoqCekJsAmACVcJMQkJCN0Irgh+CFIIKwgEB9cHnAdPBvQGlgZABfoFxQWcBXcFUAUnBP4E1gSvBIoEaARLBDoENQQ8BEYETARGBDUEHQQDA+oD0gO4A5kDcAM/AwgCzAKRAlkCJAHzAcMBjwFXARkA1ACGACr/vf8//rf+NP3E/XT9RP0s/Rz9B/zp/MH8lPxo/D78FPvp+737kftk+zj7C/rf+rT6jPpo+kn6Mfog+hn6Gvoe+iD6GfoI+fD51fm4+ZT5Y/kj+Nr4k/hW+Cj4BPfn99X33fgN+Gj43PlF+YH5gPlM+QT4w/iV+HD4Qvf996X3S/b/9sn2pPaE9l/2MvYA9c71mvVk9Sz09fTI9Kv0nfSb9J30nfSa9I/0ffRh9ED0HPP/8+zz4fPX88XzqPOC81rzN/Mc8wfy9/Lo8tvyz/LE8rjyqPKW8oPycvJi8lHyO/Ig8gHx4fHB8aHxf/Fb8TjxFvD38NrwvvCh8IPwY/BC8B3v8+/E75TvZu887xfu9+7b7sPur+6d7ovud+5g7kzuQe5E7lXub+6N7q7u0+787ybvSe9a71bvRu8470DvZe+h7+HwDvAc8BDv+e/r7/LwCvAm8DfwNvAo8BnwEfAP8Ajv8O/F75PvbO9f72jvdO9p7zju5u6L7kPuH+4d7ivuNO4t7hft/+3w7fDt++4N7iHuOe5Z7oPute7m7wzvJe8z7zzvR+9Y72nvde9673vvf++L76Dvue/O79zv4+/p7/Hv+vAC8AbwCfAS8CLwOvBS8GPwZ/Bi8FzwXfBl8HPwhPCV8KjwwfDh8QrxPfF58b/yDPJY8p7y2PMI8zfzbfOs8/H0N/R29LD05/Ug9Vr1kfXD9e32FvZE9nn2tvb19zH3aPea98v3/vg0+G34qPjj+R35V/mT+dL6Fvpg+q369/s8+3r7ufv8/Ej8m/zw/UT9lf3n/j7+mv78/2D/wQAdAHQAxAEMAUoBfgGpAc8B9QIhAlUCjwLMAwUDOQNnA5MDwgP1BCsEXASBBJYEnQSbBJoEnwSsBMAE2gT5BR8FSgV5BakF2AYHBjUGZAaSBr4G6AcTB0AHbAeWB7cHzwfhB/QICggfCC0ILAgdCAcH9gfvB/IH9wf7B/sH/ggLCCMIQwhlCIUIoQi6CNAI4AjnCOUI2wjJCK8IighbCCcH/QfrB/cIGQhDCGQIdAh0CGwIYQhQCDMICQfVB6QHggdxB2oHZAdZB0sHQwdGB1YHagd7B4UHiweUB6UHvAfRB94H4wflB+wH/QgXCDAIQQhGCEQIQwhICFUIYwhuCHMIdQh8CI8IrQjUCP0JJQlMCXAJiQmGCVEI2wggBy0GGAT7A+kC7wIXAW4A/gDSAOgBMgGbAgwCdALIAwgDMwNKA1IDUQNPA1EDVQNVA0gDLQMHAuECwgKqApMCdQJOAiMB+wHWAbEBhgFXATEBJQE+AXQBqgG/AaABUgDvAJ4AegCIALUA5gEFAQsA/gDrAN4A2gDZANMAwQCiAHwAWQBCADkAPgBKAFcAXgBfAFwAVgBRAEwARAA2AB3/+v/P/6D/bv89/wr+1f6d/mb+Nf4O/fL94P3T/cb9uf2x/bL9vP3P/eb9/v4W/i3+R/5j/oL+o/7F/uj/Dv83/2T/lf/KAAIAOQBsAJUAsQDAAMYAzADZAPQBHAFOAYABrAHNAeQB9AIBAhECJQI+AlgCdAKPAqgCvQLQAuIC8gMDAxQDJAMyAz4DSANRA1gDXANdA10DXQNgA2UDaQNoA2EDVwNLA0IDOwM0AyoDHAMOAwMC/AL5AvUC7QLhAtQCzALJAsgCxgK/ArICowKUAoUCdQJgAkcCLQIVAgIB9AHoAdkBxgGwAZcBfgFlAUsBMgEaAQUA8QDcAMQApwCKAG8AWQBJADkAKAAT//z/5v/S/73/pv+K/2z/T/82/yL/D/75/t7+vv6d/n3+Xv5B/ib+C/3y/df9uv2Z/XX9Uf0x/Rf9Afzo/Mr8p/yC/GH8RPwo/Ar75/vB+537fvtm+1H7OPsZ+vb60vqx+pX6e/ph+kf6KvoP+fT53fnJ+bf5p/mX+Yb5dfli+VH5Q/k6+TT5Mfks+Sf5HvkT+Qb49/jr+OP45Pjs+Pf4/fj0+NT4nvha+Bn37vfp+A/4Wfi1+RH5Xvmc+c/5+/oe+i/6Ivn2+bP5bfk5+SD5H/ks+Tz5S/lb+Wz5fvmJ+Yn5gvl9+Yb5n/nB+dz54/nU+bz5qPmm+bP5x/nT+c/5wPmu+aT5qPm4+cv52/nk+ez5+PoS+jf6Xvp5+nv6Xvoq+e35tvmQ+Xj5aflZ+Uf5NPkn+SL5Jvkv+Tn5P/lB+T35N/kw+S75Mvk8+Uj5TvlI+TP5Evjr+MT4o/iJ+Hb4bPhp+G34dPh3+HP4afhd+Ff4WPhb+Fn4Svgt+Aj34ve/95/3fvdY9y73Bfbk9s/2wfa19qP2iPZm9kD2GvXy9cb1lPVf9S31AvTi9Mz0u/Sr9Jj0hPRw9Fz0SfQy9Bfz9vPS86/zjfNt803zKvMG8uDyu/Kb8oDybPJf8lnyV/JX8lPyRPIo8f/xz/Gg8XbxUvEz8RXw+fDg8MvwvfCy8KnwoPCV8IrwffBx8GbwYPBg8GbwcvB/8IvwlfCf8K3wv/DQ8N7w4/Dg8NjwzPC+8KrwkvB38GDwUfBN8FDwVPBX8FfwWvBk8HjwlPC38OHxD/FD8Xrxr/Hh8gryLvJM8mjygvKc8rfy1vL78yTzVPOH873z9/Q09Hb0u/UC9Ub1hfW79eX2BfYf9jz2XvaH9q/2y/bX9tT2zvbS9uX3Bfck9zT3Mvck9xv3I/dF93v3uff2+Cn4U/h0+JD4qfjC+N75Afku+WT5oPni+ib6bvq4+wT7Ufua++L8LPyC/Oz9bf4E/qT/QP/MAEAAoQD1AUgBoAIAAmYCygMpA34DyQQMBEYEewSrBNkFCwVGBZIF9AZuBvoHjwggCKAJBQlJCWwJcAlcCTsJFgj5COoI7wkFCSwJXwmdCeQKMQqCCtMLIQtsC7cMBAxUDKYM9Q1ADYUNxw4JDksOjQ7NDwgPPg9xD6MP1hAMEEQQfRC2EO8RKBFjEZ8R3xIgEmESnxLYEw0TQBNyE6IT0BP6FCAURxRxFJ4UyBTtFQoVIhU7FVwVhRWzFeEWCxYzFl4WjRbAFvEXGhc8F1oXfRepF94YExhCGGMYdxiEGJAYoRi6GNgY9hkNGRcZFBkIGPgY6xjjGOAY3hjbGNUYzxjIGMEYtxipGJkYjBiHGIoYkBiTGI4YhRh9GHwYghiIGIUYcxhUGDEYFRgEF/sX8BffF8MXnxd2F00XJRb+FtsWvhanFpYWhxZ3FmQWThY2Fh0WBBXvFeMV5xX7FhsWPBZTFl0WXhZhFnMWlxbIFvYXFRccFwwW7xbPFrQWoRaQFnwWYBY8FhIV6RXFFacVjRV0FVgVOxUgFQYU7xTZFMMUrhSaFIcUcRRVFDAUARPOE5oTZxM0Ev4SxRKLElcSLBIJEesRzRGwEawRoBGeEaMRqRGrEakRohGXEYoRfRF2EXkRiBGiEcAR3RH2Eg0SJhJEEmgSjBKpEr8SzxLgEvUTCxMbEx0TDhLzEtcSxxLIEtgS7BL3EvES2RK2EpISdhJlEl4SXRJdEl4SYBJjEmUSZBJbEkgSLBINEe4R1BHCEbYRrRGlEZoRjBF9EW4RXhFOEToRHxEAEN8QwBCnEJQQghBqEEYQFg/ZD5UPTw8KDsgOiw5UDiIN8g2/DYMNPAzsDJwMWgwxDCYMNgxWDHkMmAyvDMAMzgzZDOAM4AzXDMkMuAymDJEMdgxQDCEL6wuyC3oLQgsICssKiwpICgcJywmXCWsJRQkiCPwI0giiCHAIQAgSB+QHrwdsBxwGxQZyBi0F+AXQBaoFgQVTBSEE8ATCBJgEcwRTBD0EMwQ2BD8ERwRHBDsEJAQIA+sDzwOzA5MDbAM8AwMCxAKEAkYCDAHUAZ0BYgEgANYAgwAl/7z/Rv7H/kf90f11/Tf9GP0L/QT89/ze/Lv8kvxl/DX8A/vO+5j7ZPsy+wL61fqt+oz6c/pi+lX6Svo++jX6Mfoz+jf6Ovo0+ib6D/nt+b75fPkp+M74ePg1+Ab36PfR98P3yPfy+Eb4tfkf+V/5ZPk1+O74q/h4+Ez4FvfJ92v3DfbD9pP2dPZW9i71+PW89YH1SvUW9OT0t/SS9Hn0bPRo9Gb0Y/Re9FT0RPQr9Arz5/PK87jzsfOr857zhfNh8znzFfL28t3yx/Kz8qTymfKQ8oPycfJb8kXyM/Im8hvyC/H08dbxtPGQ8W7xTvEx8RfxBPD08OXw0fC48Jvwe/Bc8DrwFO/m77LvfO9K7yDvAO7n7tLuv+6q7pLudu5Z7kDuNO437kvuaO6I7qTuuu7M7tbu1e7H7q/ul+6Q7qnu5O8274rvyO/n7+zv6O/t8ALwIfA68EHwM/Ac8AvwB/AI7/zv1O+P70PvDe8C7yHvUe9w72TvK+7a7o7uXO5J7kjuTO5I7jzuLe4j7iDuI+4o7ivuLO4v7jnuUO507qTu1e8B7yDvM+8870HvRe9H70jvSe9L71PvYO9y74bvmu+s77vvxu/N79Hv1u/f7/HwCfAj8DnwR/BO8FLwWPBg8Grwd/CH8J3wuvDe8QfxNvFv8bHx/fJK8pDyyfL38yTzWfOb8+b0NPR89Lz09/Uw9Wf1mvXJ9fT2IfZU9o/2zfcM90X3efer99v4DfhA+HX4rPjk+R75V/mR+cz6C/pO+pT62/sh+2j7svwC/Fj8r/0E/Vb9pv36/lT+tP8W/3X/zwAmAHoAywEWAVcBiwG1AdsCAwIxAmcCogLcAxMDQwNuA5gDyAP/BDsEcwSfBLgEwQTABMAEyATYBPAFDAUsBVEFfAWpBdUF/wYmBk4GeAamBtYHBwc3B2QHjAesB8MH0gffB+4IAAgQCBYIDQf6B+YH2gfcB+cH9Af/CAoIGgg1CFkIgQikCMAI1gjoCPcJAgkFCQEI9wjmCMsIoQhpCC8IAwf3CA8IQAhxCJAIkwiFCHIIZwhhCFYIPggYB+wHxgerB5kHigd4B2cHXAdbB2UHdgeGB5UHowe1B8kH3gfuB/YH+Af8CAcIHAg3CE8IXwhlCGYIZghqCG0IawhgCFQIUAhhCI8I0wkgCWYJmgm3CbsJoAlYCNMICAb9BcgEjANoAnIBswEuAOQA1wEEAV8B1AJKAq4C+AMsA1ADagN4A3kDbgNfA1MDTANFAzUDGQLzAs4CsgKeAokCaQI8AgcB1gGuAYoBXgEnAO4AyADGAOsBIAFDATcA9ACSADUAAQADADEAcQCkALwAuACkAJEAhwCHAIsAigB/AG0AWABHAD0AOwA+AEQASwBTAFgAWwBaAFcAUwBPAEsARAA4ACYAEP/3/97/x/+v/5j/gf9t/1r/SP83/yX/GP8U/x7/NP9Q/2r/fv+M/5j/p/+5/87/4v/0AAUAFwAvAE0AcACWALwA4AD+ARYBJAEqASwBLwE5AVEBdAGgAcwB8gIOAiACKwIzAjsCRgJUAmQCdwKLAp8CsgLDAtEC3gLrAvkDBgMSAxwDIwMqAy8DMwM1AzYDNQM1AzYDNwM1Ay8DJQMZAw0DAgL3AusC3QLQAsUCvwK7ArYCrgKjApcCjgKJAocChQJ/AnQCZgJVAkQCMgIfAgoB9AHgAc4BvgGvAZ8BjQF5AWMBSwEzARkA/wDlAM0AtgCfAIcAbgBVADwAJgAS//7/5//N/7L/mP+A/2r/U/87/yH/Bv7u/tj+wf6p/o3+bv5P/jL+Fv38/eP9y/20/Zv9fv1c/TX9Dvzq/M38s/yW/HX8Tvwm/AT76fvS+7r7nPt6+1b7N/sd+wb67frR+rH6kfpy+lb6Ovof+gP56fnS+bz5qPmV+YH5b/ld+U35Pfkt+R75EfkG+P74+Pjx+On44PjX+M74xfi8+LX4svi0+L34yfjS+M74tfiG+Ef4CPfa98335PgZ+F34pPjp+S/5d/m++fb6EPoE+dX5lPlU+SP5BPjz+Oz47/j7+RL5Kvk7+T/5O/k8+U/5dfml+cz52/nR+br5p/mk+bL5xvnV+dj50PnC+bf5s/m4+cP5z/nc+ej59foG+hz6NPpH+k36P/oe+fH5xfmi+Y/5h/mF+X/5c/lj+VT5S/lO+Vv5bvmB+Yz5jPmE+Xj5cflx+XT5c/lo+VD5MfkR+Pb44fjS+MT4uPiv+Kv4qvio+KD4k/iE+Hn4dPh0+HL4Z/hR+DL4Evfy99L3r/eH9133NvcZ9wf2/fby9uD2xPai9nv2VPYp9fr1x/WR9V/1NvUY9QL08PTc9MP0pvSJ9G30UvQ19BXz8fPM86jzifNu81TzN/MU8u3yx/Kn8o7yfPJw8mfyYPJY8k3yOvId8ffxzfGm8YTxafFO8TLxE/D38OLw1fDP8MrwxPC68LHwqPCg8JrwlfCT8JfwovCz8MXw1/Dm8PPw/vEE8QXw/vDy8OPw1fDH8LbwovCN8Hzwc/Bz8Hjwe/B68HbwdvB/8JLwrPDJ8OrxEPE98XHxpvHW8f3yHPI28k7yZ/KC8p7yu/Lc8wHzKvNY84vzxvQI9FD0mPTe9R71V/WJ9bf14fYJ9jD2VvZ59pX2o/ah9pb2i/aO9qX2zvb79x33Kvcm9xz3HPcx91v3lffU+A/4Qfho+If4ovi8+Nn4/fko+Vn5j/nJ+gj6TfqZ+un7OfuE+838G/x5/PD9g/4r/tj/egAGAHkA2AEsAX4B0wIqAoIC2AMnA3ADsAPpBBsESwR8BLME9AVABZoGAwZ/BwsHogg4CL4JJwlpCYMJeglZCS0JAgjgCM8I0gjqCRMJSwmNCdUKHwpoCq8K9wtBC48L4gw2DIkM1w0eDWENpA3oDi0OcQ6xDu0PJA9aD48PxA/5EC4QZBCbENQRDxFLEYcRxBIBEj0SeBKvEuQTFhNIE3kTqhPYFAQUMBRcFIoUtBTZFPYVDhUmFUQVaBWSFb4V6RYVFkQWeBatFt4XBxcoF0YXaBeTF8cYABg3GGYYiRihGLIYvxjQGOUY/xkZGSsZLxkmGRMY/xjyGO0Y7RjtGOoY5BjeGNkY1BjMGL4YrxiiGJ0YnhigGJ4YlRiKGIMYhRiNGJEYiRhwGE4YLBgTGAUX/BfwF9gXtReKF10XMhcMFusW0Ba6FqYWkhZ8FmQWTBY0FhwWBRXxFeMV4hXxFg4WMhZSFmcWcxaAFpYWuhbnFw8XJRciFwkW5Ba/FqMWkBaAFmsWThYoFf8V2BW1FZgVexVcFTsVHBUCFO8U4BTTFMQUsxSgFIwUcxRUFCsT+xPHE5YTaRM/ExQS5xK2EoYSWBIuEgcR4hHDEeERzhHAEbURqhGgEZcRkBGJEYIRfBF6EYERjxGjEbgRyxHfEfgSGxJEEmwSihKbEqESqBK5EtUS9hMQExcTCRLuEtMSxBLHEtkS8RMBEwIS8BLOEqUSfRJcEkUSOBI2Ej0SSxJdEm4SeBJ1EmQSRhIhEf4R4xHYEdwR6hH3EfgR5xHDEZURZhE/ESMRDhD6EOQQyhCxEJwQihB5EGQQRhAdD+oPrg9vDzAO9A6/Do4OXQ4mDeINkA0zDNYMhgxQDDkMQQxfDIgMsAzSDOoM+w0GDQ0NDw0LDQEM8gzdDMIMoAx2DEYMEQvXC5sLXQsfCuAKoQpjCiQJ5gmrCXYJSwkrCQ8I8gjNCJ0IZwgvB/gHwQeFB0AG9QarBmsGOgYUBfMFzgWhBW4FOAUCBM8EngRyBE0ENAQpBCkELwQzBC0EGwQAA+EDwgOkA4YDYQM0AvwCvQJ5AjUB8wGzAXMBLwDkAI8AMf/J/1j+4v5r/fv9m/1U/Sf9Ev0K/QX8+vzk/MT8mvxm/Cz76/uo+2f7LPr2+sT6lvpu+lH6Qfo7+jv6Ofoy+ij6Ivol+i76N/o4+iz6Efno+a75YvkE+KD4RPf/99b3wve397L3uffd+Cj4kPj3+Tr5RPkX+M34gfhE+BH31/eM9zL22vaU9mb2RvYk9fL1svVr9Sn08fTE9Jz0evRd9Ej0OvQy9Cv0JfQf9Bf0C/P389vzvPOj85TzkPOO84Pza/NH8x7y9vLT8rPylfJ88mnyXfJV8kryN/Ie8gTx8PHj8djxyfGw8Y3xZvE/8R7xA/Dv8OPw3PDZ8NXwyvC38J/wh/By8F7wQ/Ac7+nvru9070LvHO7/7ufu0u697qTuiO5r7lLuQ+5E7lTube6H7pruoe6b7ovudO5X7j7uMe477mDunO7j7yPvUu9u74Lvn+/N8AnwQ/Bl8GbwSfAg8AHv9u/07+fvu+9u7xXuz+637s/vA+8v7znvGe7a7pXuW+427ibuJe4u7j3uTu5d7mjubu5u7mfuWe5E7jDuJu4x7lPuhu687ubu/u8I7wzvFu8m7zbvP+8/7zjvMu8z7zzvS+9d72/vgO+R76Hvsu/C79Pv5e/38ArwHfAw8ELwUPBa8GHwafB38JDwsvDb8QfxOPFw8bLx/PJH8orywPLs8xnzUfOY8+n0O/SG9Mb0//U09Wb1l/XF9fP2JPZa9pb21PcP90f3e/eu9+H4FPhI+Hv4r/jm+R/5WfmS+cz6CPpI+ov60vsc+2v7vfwV/G38w/0U/WL9s/4L/mv+z/8x/4z/4gA2AIoA3AElAWIBkQG4Ad8CDAJAAngCsQLnAxgDRQNwA54D0gQNBEsEhgS1BNEE3gTiBOgE9QUMBSkFSAVpBYsFrwXTBfYGFgY2BloGhga7BvMHKwdeB4kHqQe+B8kHzgfTB9sH6Af0B/oH9QfrB+IH4gfsB/sICQgWCCUIPghiCI4IuAjZCPIJBQkVCSMJKgkpCR8JEQj+COAIsgh0CDQICAgDCCgIZgigCLwIswiSCG8IWghWCFgIUwhACCAH/AfbB8AHqQeWB4UHeQd0B3cHgAeQB6UHvAfSB+UH8gf6CAAICAgVCCgIOwhMCFcIXghjCGgIbwh1CHMIZghQCD4IPwhhCKkJCwl0CcgJ9wn2CcUJYQjFB+kGzwWHBDEC9gH3AUYA4gDCANoBHwGIAgQCgALmAysDUQNkA3MDggOOA44DgANnA04DOwMsAxkC/QLXArIClQKBAm4CUQIlAe8BuwGOAWYBOAD6ALIAcQBPAFUAfACnALoAogBkABr/3//J/9wACgA+AGYAegB5AG0AXgBTAEsARQA/ADcAMQAuACwALAArACwAMgA8AEgAUABQAEcAPgA5AD4ASQBTAFcAUwBKAEAAOQAzACsAIAARAAD/8P/h/9j/1v/f//MADgApAD8ATgBYAGMAcQCDAJIAmwCcAJsAngCpAL0A1wDzAQ4BJgE8AUwBVwFdAWABZQFxAYcBqAHPAfYCFgIsAjoCQQJGAkwCVQJfAmsCdwKEApACnAKnArECugLFAtIC4ALrAvQC+gL/AwQDCgMOAxADDQMJAwQDAAL8AvYC7QLiAtUCyAK8ArACpAKZAo8ChgJ/AngCcAJmAlwCUwJMAkYCQQI6AjACIwISAf8B7AHZAcYBtQGkAZMBgwFxAWABTQE5ASQBDwD6AOQAzgC2AJwAgwBqAFMAPAAlAA3/8//Z/7//pP+I/2z/UP81/xv/Av7q/tP+u/6k/oz+c/5Z/jz+H/4D/en90P23/Z/9h/1v/VX9Of0X/PL8zfyp/Ir8bfxO/Cr8Avva+7f7m/uD+2v7UPsw+xD68frV+rn6nfp/+mH6RPoq+hD59fnY+bz5o/mP+X/5bvlc+Uf5Mvkf+Q/5Avj2+Ov43/jV+Mv4wfi3+Kz4ovia+JX4k/iR+I34h/iB+H34fviF+I34jPh6+FP4Hvfm9733rve599v4CvhE+In42/kz+Yb5wvnd+dT5sPl++Uf5EPjb+K34j/iJ+Jv4vPja+O74+PkF+SP5VfmO+b751PnO+bn5pvmh+av5u/nK+c/5y/nD+bv5uPm7+cT50vnj+fL5/voF+gz6Ffof+if6J/oa+gP55vnO+cH5v/nE+cb5wfmx+Zz5iPl++YH5kPmj+bH5tfmu+aP5mvmV+ZP5jPl7+WL5Rfkt+R35FfkP+Qb4+/jv+Ob43/jX+Mv4uvio+Jn4kPiM+Ij4ffhq+E/4MvgS9/L3zfem94D3YPdM90P3Pfc09yL3A/bd9rL2hvZZ9in19vXC9ZL1aPVH9S31FvT+9OL0wfSd9Hj0VPQx9A/z7vPO87Hzl/N+82PzRPMf8vfy0vKz8pzyi/J88m3yXfJO8kDyL/IX8ffx0/Gv8ZDxdvFg8UjxL/EY8QnxAfD+8Prw8PDj8Njw0PDN8MrwxPC+8LvwwvDT8OrxAPEQ8RnxGvEX8Q7xAvDy8OHw0vDD8LPwovCQ8IPwfvCB8IjwjPCN8I3wkfCf8LXwz/Dp8QTxJPFK8Xjxp/HR8fHyCvIh8jjyUvJs8oTym/Ky8s7y8vMf81bzmPPj9DP0gfTJ9Qb1O/Vr9Zr1yfX29h72P/ZV9l/2X/ZV9kn2RfZU9nz2vPcE90X3cPeA93z3cfdu93v3mffD9/P4IvhP+Hf4nfjC+On5Efk7+WX5jvm5+ev6Kvp2+sz7I/t2+8X8GPx9/P39mv5K/vz/oAArAJwA+wFPAaEB8gJBAowC0QMSA04DhQO5A+sEHgRYBJwE6wVEBaQGDAaCBwgHnAg1CMIJLwluCX4JaAk7CQkI3wjFCL0IyAjlCRIJTAmQCdgKIApkCqgK7As2C4YL2wwyDIQMzw0TDVMNkw3VDhkOWw6aDtYPDw9HD38PtQ/oEBsQThCEEL0Q+BEzEWwRoxHbEhMSShJ/ErIS4xMVE0gTfBOvE+AUDxQ8FGgUkRS3FNcU9BURFTEVVRV9FaQVzRX2FiMWUxaFFrUW4RcJFy8XVxeEF7YX7BgjGFgYiBivGM0Y3xjtGPsZDhkmGTwZSBlEGTIZHRkMGQUZBRkGGQIY+RjxGOwY7RjtGOcY2RjHGLgYsRiwGK4YphiYGIsYhRiIGJAYkBiDGGkYSRgsGBcYCBf4F94XuxeRF2YXPxceFwMW6xbVFr4WpBaIFmoWThY2FiIWDxX8FesV4hXoFgEWKBZUFnkWlBanFrwW2Bb7FxwXLxcqFw8W4xa0FooWahZSFjsWIRYDFeMVxBWmFYYVZBU/FRoU+hTkFNYUzRTCFLMUnhSIFHEUWBQ7FBgT7hPCE5gTchNPEy0TChLmEsASmRJwEkcSHxH8EioSCxHuEdARsxGbEYgRfBFzEW4RbBFwEXwRjRGfEa4RuxHLEecSEBI+EmUSexJ/En0SgxKZEr4S5hMBEwgS+hLjEs4SxhLMEt0S8RMAEwMS9RLYEq8SgxJaEjoSJxIgEiQSMBJDElgSaRJxEmsSVhI2EhMR+hHyEf4SFxIuEjISGRHiEZoRUxEaEPgQ6BDgENgQyxC7EKsQoBCYEJAQhBBtEEkQGA/cD5wPYA8rDv0O0w6jDmUOFw26DVcM+QysDHsMZwxxDI8MuAzfDP4NEw0eDSQNJw0mDSENFAz+DN4MtgyIDFcMIgvqC68LcQszCvYKvAqCCkUKAQm6CXgJQgkgCQ0JAQjuCMwImghfCCIH6AeuB3IHMQbwBrUGhQZjBkgGLAYIBdgFnwVhBSIE4gSkBGsEOwQZBAcEAQQBA/0D8QPaA78DogOGA2sDTAMmAvQCtwJzAioB4QGZAVABBACyAFf/8/+I/xv+r/5L/fP9qv10/U/9Of0q/R39Cvzu/MX8kfxR/An7vft0+zP6/PrL+pz6bfpC+h/6CvoC+gH5//n4+fD57/n2+gT6D/oM+fj50vmg+WL5F/i/+GH4DffP9673pPei96L3qPfF+Ab4ZvjL+RD5HPju+Jz4Rvf/98j3kvdR9wH2sfZt9jv2FPXp9bH1a/Ug9N70qvSC9GH0RfQt9Br0DfQF8//z+PPy8+rz3vPL87Lzl/OC83jzdPNx82PzSPMh8vbyzfKo8oXyY/JE8izyHPIR8gPx7fHQ8bHxl/GF8XfxZfFK8SfxAfDg8MfwtfCp8KLwn/Cg8J/wm/CS8Ifwf/B88HjwbPBP8CHv5++p73DvP+8V7vHu0u657qTuj+577mfuV+5Q7lTuYO5s7nDuaO5S7jPuE+387fXuBe4s7mPunu7O7uzu+e8D7xrvS++X7/LwQvBx8HPwTvAX7+fvze/D77nvm+9h7xbu0u6p7qPus+7G7sjusu6H7lPuHe3w7dHtyO3X7fvuKe5S7m7uee577njub+5g7knuMu4p7jbuWO6E7qjuvO7F7s3u4u8C7yPvOu8+7zPvI+8Y7xjvIO8t7z3vUO9o74TvoO+578rv1u/f7+rv+/AR8CjwO/BI8E/wV/Bm8IHwqPDW8QnxQPF/8cfyFfJg8qDy0vL98yrzZPOq8/b0P/R/9Lf06/Ug9Vb1i/W99e72IfZW9o/2yfcA9zX3aveg99j4EPhH+Hz4s/js+Sf5ZPmg+dz6Gvpc+qD65/sy+4H71fwt/IX82v0o/XX9yP4k/oj+7/9R/6sAAQBVAKgA9gE3AWgBiwGsAdQCBwJBAnwCsgLjAxIDQgN2A60D5gQgBFoEkAS+BN4E9AUDBRQFKwVKBW0FjwWvBc0F5wX/BhMGJwY/BmIGkwbOBw0HRwd2B5kHrwe7B78Hvge/B8QH0AffB+sH8Qf0B/gIAAgOCBwIKgg5CE8IcAibCMkI8AkMCR8JLwk+CUoJTglGCTYJIgkMCO4IwQiFCEgIIggkCFEIlAjNCOIIzQidCGsISwhECEsIUwhPCD0IHwf9B98Hxge2B6sHowecB5cHmAejB7gH0AflB/EH9Af2B/8IEggqCD8ISwhMCEcIQwhGCE4IWAhfCF4IVQhLCEoIXgiSCOcJUgm8CgcKGgnnCWwIqwetBnsFJwPJAogBhgDeAJUAnADcAT4BsQIrAqADBQNMA3IDfAN5A3cDfAOCA4ADbwNTAzUDHQMKAvYC2QKyAogCZAJKAjQCGgH1AccBlwFrAUIBEQDSAIMAM//4/+P/+QAsAGQAhgCDAFwAHv/i/7r/s//L//cAJABFAFIATwBAAC4AHAANAAMAAAACAAcADAAMAAwADwAYACYAMQAyACkAGwAUABkAKwA/AE0AUABMAEcARQBFAEEAOAArAB0AFAASABYAIQAwAEQAWABqAHcAfwCHAJQApgC5AMYAyQDDALwAuwDGANkA8gEMASUBOwFRAWMBcgF7AYIBigGYAa4BzAHuAg0CJgI2Aj4CQQJDAkgCUQJbAmUCbgJ1AnsCgQKHAo4ClgKhAq0CugLDAskCzALOAtEC1QLZAtoC1wLRAssCxQLBArsCswKnApkCiwJ/AnUCbAJkAlsCUgJIAkACOAIwAigCHwIUAgkB/QHzAegB3AHNAbwBqAGWAYQBdAFjAVIBQAEvAR4BDAD5AOQA0AC8AKoAlwCDAGsAUAA2AB0ABv/w/9f/u/+e/4H/Zv9O/zT/Gf77/tz+v/6j/on+cf5Y/j/+Jf4K/e790f21/Zr9gv1q/VP9O/0i/Qf86vzJ/Kb8g/xi/EL8I/wD++D7uvuW+3b7Wvs/+yP7Bvrn+sr6r/qT+nX6U/ow+g/59Pnc+cT5q/mQ+XX5X/lO+T/5L/kc+QX47/jd+M/4xfi7+LL4qPif+Jf4jviE+Hj4bfhk+F/4X/hh+GL4X/hV+Ef4Ovgz+DL4NPgx+CL4Bffe97j3nveV9573tvfd+BP4V/il+PX5O/lv+ZD5nfmX+Xv5Rvj7+Kb4Xvg1+DX4VfiB+Kn4x/jl+Q35RPmC+bT5zvnM+br5p/mf+aX5sPm5+bz5uPmz+bL5tfm/+c353/nw+f76BfoF+gP6AvoH+hH6HPoj+iT6HfoU+g36CvoM+hD6EPoJ+fr55/nT+cX5vfm6+bn5tfmu+ab5ofmg+Z75lvmH+XH5W/lK+UH5P/k9+Tj5Lvkj+Rj5DvkA+O/42fjD+LL4qPil+KH4mfiJ+HH4U/gx+Av34ve695f3gfd393f3d/dv91r3N/cK9tr2qfZ49kj2FvXl9bb1ivVk9UX1KvUR9Pf02PS09Iv0YvQ99B30AvPp887zsfOR827zSfMj8v7y3PLA8qrylvKC8m3yWPJH8jnyLPIa8f7x2fGz8ZLxevFp8VnxSfE78TLxLvEq8SLxEvD98Ozw5PDi8OLw3vDW8NHw1/Dq8QTxG/Em8SXxG/EP8QPw+vDv8OPw1vDH8LbwpPCS8IXwgfCG8I/wmPCf8KXwsPDC8Nzw9/ER8SnxRPFm8Y3xtPHW8fDyBvId8jjyVPJs8n3yh/KQ8qHyv/Ls8yjzcfPG9CD0evTL9Q/1RPVv9ZP1s/XP9eX19PX99gL2B/YN9hr2NPZh9qT2+/dZ97D38fgU+Br4C/f19+L32/fi9/b4E/g4+GD4ivi4+Oj5GflH+W/5kPmw+df6DvpX+q/7Dftp+8T8I/yT/R79wv51/yT/wQBCAKoBAgFSAaIB7wI3AngCswLpAx8DVwOPA8gEBARHBJAE4QU2BY8F7gZbBtwHcwgWCK8JJwlpCXQJUgkaCOMIuwirCK8IxQjoCRkJVQmbCeQKLApwCrIK9wtDC5gL8gxNDKAM6g0qDWQNnQ3YDhQOUQ6NDsgPAg87D3MPqQ/cEA0QQBB1EKwQ4xEYEUoRexGtEeISFxJLEn0SrRLeExMTShOCE7kT7BQaFEUUbRSSFLUU2BT8FSEVSBVvFZQVuRXeFgYWMRZgFo8WvhbuFyAXUReCF7AX3BgJGDkYbRigGMwY7RkBGRAZIBk2GU4ZXhlgGVMZPhkrGSEZIBkgGRoZDxkCGPoY/BkAGQAY9RjhGMwYvhi4GLcYsRiiGJAYghh/GIMYiBiDGHEYVhg5GCEYDBf3F90XuxeWF3IXURc0FxgW/RbkFssWshaXFnoWXRZCFisWFRX/FecV1BXQFeIWChY/FnMWmBauFrsWyxbhFv0XFBcYFwQW2hakFm4WQBYcFgEV6hXUFb8VqRWQFXMVTxUoFQEU4BTKFLsUrhSdFIQUZhRIFC0UGBQEE/ET2hO/E6ITghNhE0ATIRMFEusS0RK0EpMSbxJLEmESPBIWEfARyxGsEZMRgBFwEWURYBFmEXcRjxGkEbMRvhHNEekSEBI7ElwSahJrEmsSeRKaEsQS6BL5EvYS5xLXEtES1BLeEukS8hL1EvAS4xLKEqgSgRJbEj0SJhIWEg0SChIQEh8SNRJLElkSWhJMEjUSIRIZEiESMhI9EjQSDBHJEXkRLxD5EN0Q1hDZENwQ2xDXENIQzxDNEMsQxRC1EJgQaxAwD+0PrQ92D0sPKQ8HDtwOoQ5XDf8Nnw1BDO8MtAyXDJcMrwzRDPINCw0aDSMNKQ0uDS0NJA0QDO8MxgyYDGcMNQwBC8kLjwtUCxwK5QquCnAKJwnVCYQJQQkWCQUJAgj+COsIxQiPCFUIHQfoB7MHegc/BwcG2ga6BqQGjgZvBkAGBAXABXkFMwTsBKcEZgQtBAMD6APYA8wDvQOnA40DcgNaA0MDKwMLAuECqwJqAiIB1gGJATkA5gCNACz/xf9c/vj+nv5T/hX94f20/Y39av1K/Sr9BfzY/J/8XPwP+7/7c/sx+v361fqx+ov6YPox+gj56fnV+cn5vvmz+ar5q/m1+cP5x/m4+ZX5Y/kr+PD4sfhr+CL33/ew95v3mPeb95n3mvet9+T4PPie+OL47fi7+GH4Ave19373T/cX9tH2g/Y79gL11PWl9Wz1KfTk9Kb0dfRP9C/0FPP98+3z5/Pm8+jz5/Ph89bzxPOt85LzePNl81vzVvNM8zfzFPLn8rnyj/Jr8knyJvID8ebxz/G98arxj/Fs8UjxKfES8QHw7vDW8LvwoPCL8H3wc/Bp8GDwWfBW8FbwV/BZ8FvwYPBp8HDwbfBd8DzwEe/g763vd+8/7wfu1e6v7pjuiu6B7nXuaO5d7lbuUu5N7kDuJ+4C7dntt+2o7bXt4e4k7m7uq+7O7tXuy+7F7tXvBe9R76jv9vAn8DLwGu/t773vme+G73/vdu9h7z/vFe7s7sjuqu6P7nPuV+457hft7e2+7ZLtee2A7aXt2u4L7ifuMO4x7jbuQe5N7k/uR+487jzuSu5k7nvuiu6T7p/ut+7b7wHvG+8j7xvvEO8K7w3vFu8g7yvvOO9M72jvh++l77zvyu/S79vv5+/48AzwH/At8DjwQ/BV8HHwmPDK8QXxSvGZ8fDyRvKT8s/y/fMk81DzhvPC8/70MvRe9Ir0vfT49Tn1evW29e32IvZX9oz2v/bw9yD3VPeN98n4BvhB+Hz4ufj4+Tj5efm6+fr6PPp/+sT7CftO+5j76vxD/J/8+P1M/Zz98P5M/rD/Ff93/9IAKQB9AM4BEwFHAWkBggGfAcgB/gI6AnICowLSAwQDPQN9A7wD9wQsBF4EjgS7BOMFBwUnBUgFbQWUBb0F4wYEBh8GMgY+BkUGSgZYBncGpwbjByAHUwd3B48HnAekB6gHqweuB7YHxAfXB+oH+ggHCBIIHggtCD0ITwhnCIgItQjnCRUJNwlLCVYJYAlqCXIJcAlhCUoJMQkWCPYIygiUCGEIRghTCIQIwwjzCPwI3QimCHAITAhACEUITwhTCEoINQgXB/gH3wfRB80HzAfIB8AHuwe+B80H4AfuB/EH7QfsB/YIDQglCDQINAgpCB4IHAgjCCwIMwg0CDYIQAhVCHkIqwjuCUIJoAn2CiUKDwmcCMgHoQZBBMkDXQIdAScAkgBiAIsA8QF0AfgCbgLQAx8DXAOFA5YDlgOLA38DdwNwA2MDTQMvAw8C8wLdAscCqgKEAlkCLwIMAfAB1AG1AZEBagFDARoA6QCrAF4ADv/M/6r/tf/rADwAiwC7ALQAdAAP/6j/Yf9R/3P/sv/xABwALQAqABwACv/3/+b/2//Y/9z/5P/o/+j/6P/t//cAAwAHAAL/9//x//YABgAXACIAIgAbABYAFwAbABwAGQASAA0ADgAXACQAMQA+AEsAWABkAG0AdAB9AIoAmwCrALYAuAC1ALIAuADHAN0A9gENASQBOgFQAWQBdAGAAYoBlgGnAb4B2QH0AgwCHwIqAi8CMAIwAjICOAJAAkkCUAJVAlgCXAJhAmkCcgJ9AogCkQKYApsCmwKaApoCmwKbApkClQKQAo0CiwKJAoUCfAJvAmECUgJGAj0CNgIvAikCIQIYAg4CBgH+AfYB7AHeAc0BuwGsAZ4BkwGFAXYBZAFSAUABLwEcAQgA9ADkANYAyQC5AKYAkQB7AGkAWABFAC4AE//2/93/xv+x/5n/ff9g/0P/Kv8U/v3+4/7F/qT+hP5m/kn+Lf4S/fb92/2//aH9g/1k/Uf9Lf0X/QL87fzW/Lr8m/x6/Ff8NPwS+/H7z/ut+4v7a/tO+zP7Gfr8+t36vPqc+oH6afpQ+jL6D/nq+cf5qfmQ+Xn5YflI+TH5HfkN+P747PjX+MD4q/ib+I/4hvh9+HT4a/hk+GD4XPhX+E74Qvg2+C34KPgo+Cv4LPgn+Bz4C/f59+v35Pfg99z30vfB96v3l/eI94T3jfei98T38fgl+Fv4kvjJ+QP5Pvlx+Yr5ePk2+NH4Z/gX9/f4B/g2+G34oPjQ+QP5Pvl6+an5wvnA+a/5nfmU+Zj5ofmo+an5pvmk+aj5s/nD+dX55Pnw+fn5/voA+gD6AfoF+g36G/ou+kL6U/pd+l/6WfpR+kz6TfpR+lL6Sfo1+hf59vnY+cD5sPmn+aP5ovmh+Z75l/mM+X35cPlm+WH5Xvlc+Vf5UvlK+UL5Nfkj+Qv48PjW+MT4uvi4+Lj4tvit+Jv4f/ha+C33/ffP9633m/eY9573oveY9333Uvce9uf2svZ/9k72HvXu9b/1lPVt9Uz1MvUe9Qr08vTT9K30hPRg9EP0KvQQ8/DzyPOc83LzTPMt8xHy9vLd8sPyqfKO8nTyXPJJ8jvyLfIZ8fvx1vGy8ZfxiPGB8XvxcPFi8VTxSvFB8TTxIPEI8PXw6/Dr8O3w6vDl8OPw7fEF8SLxN/E68SzxFfEC8Pbw8/Dx8O3w5PDX8MfwtvCm8JvwmPCd8KjwtfDA8Mrw2fDt8QfxI/E98VbxcfGQ8bPx1PHv8gXyG/I18lXydfKL8pXylfKT8pvysvLa8xHzV/Oq9An0bvTP9SD1XPWA9ZD1k/WP9Yv1ivWT9ab1x/X09i32cvbC9xz3e/fY+Cz4bPiV+KT4nPiE+GX4R/gz+Cv4MfhD+F34f/io+Nj5DPlA+W35kfmx+dT6BvpK+qD7APtl+8z8PPy+/Vf+Av6y/1X/3wBLAKIA7QE3AYMBzQITAk8ChQK5AvADLgNwA7UD+gQ9BIEExgUMBVYFqQYOBowHJwfUCH0JBglXCWoJSwkUCN0IuQisCLMIyQjsCRwJWwmmCfYKQwqICsoLDwteC7oMHgx/DNYNHg1XDYcNtQ3kDhcOTQ6GDr8O+A8wD2YPmg/NEAAQNBBpEJ0QzBD3ER8RShF4EawR4RIWEkkSehKuEuUTHxNcE5YTzBP9FCkUURR1FJgUvRTkFQ4VNxVfFYMVphXLFfMWHxZNFn0WrxbkFxsXUxeHF7MX1hf4GB4YTRiEGLwY6hkLGSEZMxlHGV0ZcBl2GW0ZWRlEGTYZMRkwGSwZIRkSGQYZAhkDGQMY+hjnGNIYwhi7GLkYthiqGJgYhxh9GH0Yfxh9GHAYWhhCGCsYFhgAF+cXyRerF40XcBdRFy4XChbpFtAWvRaqFpQWeBZaFj0WIRYEFeYVyxW6Fb8V3hYPFkQWbRaCFocWihaVFqkWwRbQFssWrxaDFlIWIxX8FdsVwBWmFZAVehVlFU0VLxUMFOgUyRSyFKAUjxR4FFkUNRQSE/YT5BPaE9QTzxPGE7QTmRN2E08TKxMOEvoS6hLaEsMSphKFEnQSTxIpEgQR4hHFEawRlhGBEXARZxFtEYERnRG3EcgR1BHjEf0SIRJGEmESbRJxEnsSlBK7EuES+RL6Eu4S4BLfEuoS+hMDEwES9RLjEtASvRKnEowSbxJREjcSHxIHEe8R2hHQEdUR6hIIEiYSORI/EjoSNBIzEjgSOxIzEhQR3BGUEUsREBDsEN0Q3hDlEO0Q8xD4EP0RABD/EPoQ7xDdEMEQlhBdEBwP2g+hD3cPWA8+DyIO/g7NDo4OPw3jDYENJwziDLwMtQzEDN0M9w0LDRsNJw0vDTINKg0XDPoM1AyrDH8MUgwiC+8LuAuCC04LGwrnCqkKXwoICa0JXwkpCQ4JCAkHCPsI3giyCIAITwgiB/QHwweNB1oHMAcTBv8G6gbIBpYGVgYRBc0FjgVQBREEzQSJBEwEGQPzA9MDtAOUA3EDUQM0AxwDBALnAsICkwJYAhUBywF8ASkA0QBwAAf/mv8w/tT+i/5V/iz+B/3d/az9dv0+/Qb8zPyM/Eb7+fuq+1/7H/ru+sv6sfqY+nr6U/on+f352vm/+af5kPl7+Wz5aflu+XT5bvlS+SP46vi0+IL4U/gh9+v3vPee95T3mPeb95b3kPec98z4Hfh5+Lf4vPiD+CT3wPdx9zr3DfbY9pH2QfX19bf1h/Vb9Sj07PSt9HP0Q/Qc8/rz3fPG87vzvfPI89Tz2/PX88jzsfOU83bzW/NI8zvzMfMi8wby3PKp8nbySvIk8gHx3fG58ZfxevFi8UnxKvEG8OLww/Cs8JzwjPB58GXwU/BH8D/wOPAt8CDwFPAP8A/wFPAc8CTwLvA58ELwRPA+8DHwH/AJ7+zvwO+D7zru8+667pXuhO597nfub+5l7lnuS+417hTt6e227YbtY+1Z7W7tou3q7jLuZ+5/7n7ucu5w7oXuse7s7yvvY++R77Dvvu+576Pvhe9q71rvWe9f72TvXu9E7xfu2u6Y7lzuLu4P7fbt1u2q7XjtU+1L7WbtlO2/7dXt1u3S7dnt9e4b7jzuS+5L7kXuRu5S7mPudO6E7pXuq+7H7uHu8O707vLu8e737wTvEe8b7x/vI+8s7z/vW+9875vvtO/F79Hv2+/l7/Hv//AO8B7wL/BE8GDwhvC68P/xVvG78iPygfLK8vzzH/NA82nzmvPM8/f0F/Q09Fj0jPTR9R71avWv9e32J/Zd9pH2v/bq9xb3R/eA97/3//g/+H74v/kD+Un5jfnR+hX6Wfqf+uP7JPtl+6r7+/xY/L39IP17/dD+I/57/tr/PP+c//gATwCgAOoBJQFQAWwBhAGkAc8CBQI7AmoClQLBAvgDOgOCA8YD/wQvBFsEiAS5BOwFHwVQBYAFsAXfBgwGNQZYBnUGhwaOBosGhgaJBqAGywcBBzUHXAdyB30HhQeOB5kHpAeuB7gHxwfbB/EIBggYCCcINghICF4IeQicCMoJAQk4CWcJhgmVCZoJngmiCaMJmgmHCWoJSgknCPwIyAiRCGYIWgh1CK0I5wkKCQYI4QitCHwIXAhNCEoITwhVCFQISAgvCA8H8QffB9wH4QfkB+EH2wfaB+EH7Af0B/IH6wfnB+0H+ggECAQH+QfuB+8H/ggQCBoIGAgQCBUINAhtCLUJAQlLCZYJ4goeCi0J5QksB/4GeQTNAzQB3wDsAGgAUACTARUBswJNAs0DJwNgA4MDmAOnA7EDsgOqA5oDhgNuA1MDMwMPAuoCxwKnAokCbAJLAicCAAHaAbcBlgF3AVoBPAEaAPEAvgB/ADj/7/+x/4z/jP+6AA0AbgC3AMUAhgAJ/3j/B/7a/vX/Pf+N/8j/5//w/+//6f/c/8n/tf+p/6n/s/++/8P/wf+//8L/y//T/9X/0f/P/9X/4f/s/+//6P/c/9X/2P/g/+n/7P/t//H/+gAGABMAHQAmADEAQABSAGIAbwB4AIIAjgCbAKQAqACqAK4AuQDKAN0A8QEDARQBJwE7AU0BXAFpAXUBhgGbAbMBygHeAe8B/QIHAg0CDwIOAg4CEAIVAhsCIAIkAicCLAIzAjwCRgJQAlkCXwJjAmUCZwJoAmkCaAJjAlwCVQJRAlECUwJUAlACRwI6Ai0CIAIVAgwCBAH9AfgB8gHqAeEB1gHLAcABswGiAY4BeQFmAVUBSAE6ASoBGgEIAPYA5ADPALkAowCSAIcAfwB0AGQATgA3ACEADv/6/+L/x/+r/5L/fv9s/1f/Pv8i/wX+6/7T/rv+oP6C/mT+R/4r/g/98f3S/bL9lf14/Vv9O/0Z/Pn83vzJ/Lf8pPyN/HH8UPwt/Ar75/vE+6D7e/tX+zX7GPsA+un60fq1+pT6cfpQ+jT6G/oD+ej5yfmn+Yb5aPlN+TT5HPkE+O/43vjN+Lz4qPiS+Hz4avhe+FT4S/hA+Db4Lvgq+Cr4K/gq+CP4GfgM9//39ffw9+/38Pfy9+/35vfX98f3uvez97D3r/ep9533jPd492n3Zfdu94T3ofe/99v39fgZ+FD4nvj3+UL5Y/lI+Pb4hvgd99z3z/fw+Cr4b/iz+Pb5Nflu+Zb5p/mh+Y/5ffl1+Xr5hvmQ+ZT5lvmZ+aL5sfnC+c/51fnY+dz55fn0+gP6DvoR+hH6Ffol+kX6a/qM+pz6mPqH+nb6cfp5+oX6h/p3+lP6Jvn6+dv5y/nG+cX5wvm5+az5nfmQ+Yf5gfl8+Xb5cPlq+Wb5Y/lg+Vr5Tvk5+R/5Avjo+NX4yvjG+Mj4yvjK+MP4sPiO+F/4J/fx98f3sfeu97T3tfen94X3UfcW9tz2p/Z29kb2FfXj9bT1ivVn9U31O/Uu9SL1EfT49Nb0sPSO9HH0VvQ39A3z2/Oo833zX/NK8zjzIvMG8ubyx/Kr8pHyd/Je8kTyKfIL8evxzPG28a7xsvG68brxq/GP8XDxVvFE8TXxJfET8QTw/fD+8QDxAPD88P3xCvEl8UPxVfFQ8TjxGPD+8PPw9PD38Pjw9PDs8OPw2vDS8MrwyPDM8NXw4fDt8PjxBvEZ8TPxUPFt8YvxqvHL8e3yC/Ij8jbyS/Jl8obypvK98sfyyPLH8s7y4fL/8yfzW/Oe8/X0WvTC9R31XfV79Xv1aPVQ9UH1RPVc9Yn1yPYX9nH20vc195T36vgy+Gz4mvi7+M/41fjN+Lj4nfiF+Hb4cvh5+Ib4mvi1+Nr5CPk8+W35mPm8+eD6D/pP+qL7A/tt++H8Yfzz/Zb+Qf7l/3P/4wA4AHwAvQECAU4BmgHgAh4CVQKKAsUDCQNUA6AD5gQlBF4ElATNBQ4FWwW7BjQGyAdyCB8ItAkaCUgJRAklCQMI7AjkCOYI8QkICTAJcAnCChwKcAq4CvkLPQuOC/AMWwzCDRgNWA2GDakNyQ3tDhcORg56Dq8O5Q8aD0wPfg+yD+gQIBBWEIcQsBDSEPMRGBFEEXgRrhHlEhwSUxKNEskTBxNDE30TsxPlFBMUOxRgFIIUphTNFPcVIhVKFW8VlBW7FegWGRZMFn4WsBbjFxoXUxeJF7YX2hf3GBcYQBh0GK4Y5RkQGS4ZQxlVGWgZeRmDGX8ZbhlXGUMZOBk1GTMZLRkgGRAZAxj6GPQY6xjcGMsYvRi2GLUYshirGJ0YjhiEGIEYgBh9GHMYYxhQGD4YLBgWF/wX4BfGF60XlBd1F00XIxb9FuEW0BbDFq8WkxZxFk4WMBYUFfYV1hW5FasVsxXSFfoWHhYxFjMWLhYrFjIWQRZPFlQWTBY6FiEWBhXqFcsVqBWEFWEVRBUuFRwVBxTtFM8UsxSbFIoUexRoFE8UMRQSE/gT5hPcE9gT1RPPE8ITqROGE1wTMxMSEvwS7RLgEs4SthKXEnUSVBIxEhAR8RHXEcIRrhGaEYoRgxGJEZ0RtxHQEeAR7BH9EhcSOxJeEncShBKOEp8SvhLkEwITDhMHEvoS9xMFExwTLxMuExcS8RLJEqgSjhJ4EmESSBIvEhgSABHmEcgRqxGXEZMRoRG6EdYR7BH5EgQSEBIhEjISORIqEgARwRF6ETkRDBD0EOwQ7RDwEPUQ/REIERMRGREWEQoQ9xDfEMIQmxBpEC4P8g+8D5APcA9VDzsPIQ8DDt8Org5sDhcNuQ1hDRwM8wzkDOgM+A0LDR0NLQ03DTcNLQ0YDPsM2gy2DJAMZww7DAsL2wurC34LUwskCusKogpLCe8JmglaCTUJJQkcCQ0I8wjOCKUIfghZCDIIBwfXB6kHgwdoB1MHOgcUBt0GmwZYBh4F7gXCBZEFVwUVBNIEkgRZBCYD8wO/A4sDWwMyAw4C7QLMAqYCeAJDAgUBvwFxAR0AwQBb/+z/ef8N/rL+cf5G/ij+B/3Z/Zv9Uf0B/LP8Z/wd+9T7jvtN+xb66vrJ+rD6mvqA+mD6OvoR+ez5zPmw+ZP5dflW+T/5Mvku+Sn5Gfj2+MX4kvhk+D74G/f098v3p/eU95L3mved95b3jveZ98X4EPhe+I34hPhC9+D3fvcx9vv2zPaR9kb18vWm9Wv1QPUY9Or0svR19Dv0CvPh87/zofON84Tzi/Ob863zuPO286fzjvNw81LzNvMh8xHzA/Lx8tTyq/J58kPyEvHm8b7xlvFu8UjxJ/EJ8O3wz/Cv8JHwefBp8F3wT/A98CnwFvAI7/7v9O/n79nvzu/J78vv0e/Y7+Hv7O/38AHwBvAG8ATwBPAE7/vv3++p72DvD+7I7pXudu5m7l7uV+5O7j7uI+357cDtgO1D7RPs9+zy7QbtLe1d7Yjto+2n7aDtn+2z7eDuG+5V7oXuru7d7xfvVu+L76PvnO9/72HvUu9W72Xvbe9f7zPu7O6W7kPuAe3V7bftmu127UztK+0i7TntZO2P7abtqO2h7aftxe317iXuRO5M7kbuQO5F7lfuce6O7qjuve7M7tPu1e7T7tTu2+7p7vrvCO8O7w7vC+8M7xfvLu9N73Hvk++t773vxu/L79Hv3u/w8AfwH/A58FXwe/Cy8P/xZPHW8kbyofLf8wPzGvM281/zkfPC8+f0APQZ9D70dvS+9Q31WfWf9eH2IPZc9pL2v/bn9xL3RPeA98H4BPhE+IT4xvkM+VL5mPnc+iL6afqx+vf7OPt4+738Efxz/N79R/2l/fr+S/6g/v3/X//AABkAagCyAPEBJQFNAW8BkAG3AeYCFwJEAmsCkAK9AvgDPwOIA8oEAgQwBF4EjwTGBQEFPAV2Ba4F5QYXBkUGbQaRBq8GxQbPBswGxAbEBtYG+wcrB1QHbQd0B3UHeQeFB5kHrAe7B8gH1QfoB/4IFQgrCD4IUghpCIYIqAjSCQQJPQl1CaQJxAnVCdwJ3wngCdsJzQmzCZEJaAk4CP4Iuwh+CFgIXAiHCMkJAgkaCQsI4QixCIoIbwheCFUIVAhbCGMIYQhNCCcH/QfeB9QH2wfnB+4H7gfsB+4H8gf1B/IH7AfnB+UH5AfeB9EHxgfHB9sH+wgWCB4IFAgJCBUIRgiUCO0JPwmFCcUKAAojCgoJiQiEBwcFQQN7AfsA8QBtAGUAuQFHAe0CjQMUA3YDrwPGA8cDwgO/A8EDwwO9A6wDkANsA0YDHwL2AsoCnAJuAkYCJQIJAe8B0gGuAYcBYgFCASgBDwDxAMgAkQBQAAr/xv+K/17/Tf9k/6YAAwBXAHYAQ//F/yb+o/5q/oT+1P8t/2//kP+c/6H/pf+h/5H/ef9m/2X/df+K/5f/l/+R/43/kP+Y/57/oP+h/6f/sv+8/73/tP+n/6D/ov+t/7f/vv/C/8j/0//h/+z/9f/9AAsAIgA9AFUAZABtAHMAewCGAJEAlwCcAKIArAC5AMgA1gDjAPEBAgEVASYBNAFAAU8BZAF9AZUBqAG1Ab8ByAHSAdoB4AHhAeEB4gHkAekB7QHxAfMB+AH/AggCEQIaAiACIwImAikCLQIzAjcCNgIwAiUCGgIUAhUCGAIaAhYCDQIBAfcB7gHmAd0B0wHKAcQBvwG6AbEBowGUAYMBcwFhAU0BOAEkAREBAQDxAOAAzgC7AKoAmACEAG0AVwBEADgALwAmABcAA//r/9T/vv+o/5D/df9b/0X/NP8k/xP+/f7j/sf+rP6Q/nP+Vf43/hz+BP3s/dH9sv2Q/W/9Uf02/Rv8/fzc/Lz8oPyJ/HX8YPxG/Cf8BPvg+777nPt6+1b7MfsN+uv6zvq1+p76h/pr+kz6KvoJ+er5zvmz+Zj5fPlg+UT5KfkP+Pb43fjG+LL4ofiQ+H34aPhS+D/4MPgm+Bz4EvgG9/z39vf29/j3+vf59/T37Pfi99j3z/fG98D3vve+98D3wfe997X3rPel96P3oveg95X3gfdm90v3O/c690r3Y/d694f3jPeU97D36/hD+KP47/kJ+Oj4l/gy99v3rPev9974KfiA+NX5HvlV+XT5fPlw+Vz5S/lF+Uv5Wfln+XL5efmC+ZD5ofmv+bb5s/mu+a/5wPne+f/6FfoY+gv6APoH+ir6YfqY+rr6vvqq+pH6g/qG+pH6lvqI+mf6PPoY+gT6AvoJ+g76Bvnw+dL5tPme+ZP5jvmL+YT5evlx+Wr5Z/ll+V/5Uvk/+Sj5Efj9+Oz43/jX+NX42fjg+OT43PjD+Jf4Xfge9+n3xfe297P3r/ec93T3PfcB9sr2nPZz9kf2FPXc9ab1e/Ve9U/1SPVD9Tz1LvUX9Pj01fS09Jb0evRY9Czz+fPH86DzhvN182TzS/Mt8xDy+vLp8tbyu/KT8mPyMvIG8ebx1PHT8eDx9vIG8gXx6/G+8YvxYPFG8TnxMfEq8SPxIfEi8SXxJPEg8SDxLfFF8V/xbPFj8UbxJPEK8P/xAPEE8QXxAvEA8QHxA/ED8P/w+/D58P3xBfEQ8RvxKvE/8VvxffGh8cfx7fIS8jbyVPJr8nzyjfKj8r7y2vLx8wLzDfMZ8ynzPvNW83DzkvPD9Aj0X/S99RD1R/Vd9Vb1QfUv9TD1SfV69bz2CPZb9rT3EPds97/4A/g0+Fb4cPiH+J74sPi5+Lf4rvim+KX4rPi5+Mf41fjl+P/5JPlS+YH5q/nN+e36FvpS+qT7Cft9+/38if0h/cD+XP7p/1z/tP/3ADEAcAC3AQcBWAGkAegCJQJhAqAC5gMxA3oDuQPuBBsESgSCBMcFGgV5BecGZwb6B5YIKgigCO0JFQkmCTEJPglMCVUJWQlhCX0JtgoJCmUKvAsDC0ALgwvWDDwMqA0LDVgNiw2qDcEN2A30DhYOPA5nDpMOwQ7vDx4PTw+ED70P+RAyEGQQjBCuEM4Q8xEfEVERhhG+EfkSOBJ7Er4S/hM3E2wTnhPOE/0UKBROFHEUkxS4FOIVDhU5FWEViBWzFeQWGRZPFoMWsxbjFxUXSxeBF7MX3Bf+GB4YRBhyGKgY3xkPGTMZSxldGW0ZfhmLGY4ZghlsGVMZQBk4GTYZMxkpGRgZAhjuGN8Y0hjFGLgYrRimGKMYoRicGJQYixiFGIIYgBh7GHMYZxhZGEsYOhgkGAgX6hfSF78XrReVF3IXSBcfFv8W6BbVFr0WnBZ3FlUWPBYnFg8V7xXIFaUVkxWYFa0VxxXYFdoVzxXAFbUVsBWwFbIVtBW2FbcVtxWxFaIVhhVjFUAVJBUTFQcU+RTkFMcUqBSPFH4UcxRoFFgUQxQsFBYUAxPyE+QT1hPGE7QTnROAE1wTORMZEwAS7hLdEsoSshKVEnsSXhI+Eh4R/xHlEdARwRG1Ea4RrhG3EccR2xHrEfcSAhIUEjASUxJ0EowSmxKnErsS2hL8ExcTIRMfExsTIhM1E0kTThM4EwoS0RKcEnYSXBJJEjQSGxICEesR1RG/EaYRjBF4EW8RdBGCEZERnhGqEboR1RH6EiASORI3EhYR2xGWEVcRKBEMEP4Q9xD0EPYQ/xENERoRHxEWEQIQ5hDJEKsQiBBdECwP+Q/LD6QPgw9kD0QPJw8QDv8O7Q7PDp0OVw4FDbQNcA1ADSUNHA0hDS4NOg1ADTsNKg0QDPEM0QywDIwMZAw5DA0L4wu9C5wLewtVCyEK3QqJCi4J2gmYCW0JVAlCCSwJDgjrCMgIqQiNCG0IRwgbB/AHywewB5kHfAdSBxkG2AaaBmcGQAYdBfYFxQWLBU0FDgTSBJUEVgQUA9IDlANcAyoC+wLNAp4CbAI3AfoBtgFpARQAuABS/+T/c/8I/q/+bv5D/iL9/f3H/Xz9IvzB/GL8C/u++3z7R/sd+vz64vrL+rP6l/p1+k76JPn8+dn5vfmj+Yf5ZvlE+SX5EPkB+PL42/i4+I74ZvhE+Cj4DPfo98P3o/eU95T3nPef95r3l/em99H4D/hG+Fn4Offt9433Nvbz9sD2jvZO9f/1rvVo9TT1DfTn9Lj0ffQ99ALz0fOq84nzbvNZ81DzVPNj83Tzf/N982/zWPM88x/zA/Lq8tbyxfKz8pzyevJO8hrx5fGx8YDxUvEm8P3w2fC58Jvwf/Bl8FHwRfA/8DjwK/AV7/jv3O/F77Pvpe+Y74zvgu9973zvfe+B74jvlO+l77Tvve+977jvtO+077Dvn+957z/u+u647oHuWO4+7i7uJO4Y7gLt1u2S7T7s6+yo7H/sbuxv7Hjsh+yV7J7sm+yN7H/shOyp7O3tP+2I7b3t5u4Y7mXuyu8w73vvm++V73vvY+9Z71jvU+887wzuw+5p7grttO1x7UPtJe0O7Pns7Ozw7QvtOO1o7Yntle2U7Zftre3W7gfuLe4+7j/uO+5A7lXud+6e7r/u1O7a7tju0u7R7tfu4+7y7v3vAu7/7vnu8+7y7vrvC+8l70XvZO99743vl++e76jvu+/U7/LwEvAw8FDwePCw8P7xYvHQ8jjyiPK78tby7PMN8z3zdvOs89Xz9PQV9EL0fvTE9Qr1S/WI9cj2CvZM9ob2t/bi9xD3SPeK98/4E/hS+JD40PkU+Vn5nfnh+ib6b/q6+wP7SPuN+9n8MfyW/P/9ZP29/g/+YP66/x7/hv/nADsAgAC4AOkBFQE/AWkBlgHFAfUCIQJHAmoCkQLCAwADRwONA8wEAwQ2BGsEogTcBRYFUAWLBccGAQY2BmIGhgamBsQG3gbvBvQG8wb2BwcHKQdRB3AHfQd7B3QHdQeFB50HtQfHB9YH5Qf6CBQILwhJCGAIeQiWCLgI3gkKCTsJbwmhCcwJ6woACgwKEwoVCgsJ9QnSCacJdQk8CPkIsQh0CFUIZgifCOkJIgk0CRwI7gjACJ0IhAhyCGMIXghmCHUIfAhqCD0IAwfSB7wHwAfTB+QH7AfqB+cH5QfkB+IH3wfcB9kH1AfMB8QHxAfSB+8IDwgjCCQIGwgeCD4IfgjRCSEJZAmbCc0J8wnwCZoIyAd1BcED8gJYATQAowCdAP4BlgI6As8DSAOgA9oD+AP+A/ED3gPMA8IDvAOyA54DfQNVAysDAgLYAqkCdQI/Ag4B6AHNAbcBnQF8AVUBLgENAPQA3wDFAJ8AagAq/+b/of9d/x3+7/7l/w7/Zv/KAAj/9P+G/uX+Uv4I/hr+bv7S/x3/Qv9O/1T/Wv9a/0r/Lv8Y/xX/Kv9K/2L/af9j/1z/XP9j/2j/aP9n/2v/dv+D/4j/hP96/3T/eP+C/4v/kP+S/5f/ov+y/8D/y//V/+b//gAZADAAPABBAEQATQBbAGkAcgB3AHoAgQCNAJkApQCyAMAA0gDmAPYBBAEQASABNwFSAWoBewGDAYcBjQGXAaIBqwGvAbEBsgG0AbcBuwG+AcEBxQHKAdEB2AHfAeQB5wHpAesB7wH1AfoB+gHzAecB2wHUAdUB2QHbAdcBzQHDAbsBtwGxAagBnAGRAYkBhgGDAXsBbQFaAUcBNAEiAQ8A+wDnANUAxACzAKAAigB0AGAATwA9ACoAFQAB//D/4//X/8f/tP+d/4b/b/9Y/0D/Jv8O/vr+6v7b/sr+tf6d/oX+bP5Q/jL+Ef3y/dX9vf2m/Yv9av1I/Sf9DPz1/N78w/yl/If8avxR/Dj8Hfv++9v7uPuV+3T7U/sx+w/67PrM+qz6j/pz+lj6Pvoi+gX55/nI+aj5iPlp+Uz5MfkY+QD46fjS+Lr4o/iN+Hv4avhY+EP4LvgZ+Aj3+/fw9+X32PfN98X3wvfE98j3yPfF97/3ufe097L3r/eq96P3nfeZ95n3m/ee9573m/eX95T3k/eS94r3ePdb9zv3IfcX9yD3NvdN91n3VvdK90f3W/eT9+f4RfiQ+K/4lvhP9/P3pfeB95P32Pg5+J/49fku+Un5Svk7+Sf5FvkP+RP5H/ku+Tz5SflX+Wn5fvmP+Zb5kvmL+Y35oPnF+e/6CvoN+fv56Pns+hL6U/qY+sj61frD+qb6j/qI+ov6jPqA+mX6Rvov+ir6NfpH+lD6R/oo+f751Pm3+aj5ovmf+Zf5i/l++XX5bvlo+V75T/k/+S/5IvkW+Qj4+vju+On47Pj2+P74/fjr+MX4jvhO+A732ve596b3mPeA91j3Ivbr9r/2nvaC9l32J/Xm9ab1dfVc9VX1V/VY9VH1QPUn9Qn06fTM9LH0l/R59FP0JvP489HzsvOb84bzcfNf81fzWvNf81fzNfL38qvyY/Iv8hTyEPIb8i3yP/JH8jzyG/Hm8a3xffFg8VPxT/FN8UrxSPFJ8UrxSfFG8UfxUPFi8XXxfPFw8VbxOPEj8RzxHPEc8RjxE/ES8RfxH/Ej8SDxF/EP8Q7xFPEg8THxRfFh8YTxrfHa8gXyL/JW8nnyl/Kw8sLy0/Lk8vfzC/Mg8zXzTPNl84LzoPO989vz/vQs9Gf0q/Tt9SH1PvVD9Tj1LfUy9U/1hfXK9hP2WPaY9tj3G/dg96L31/f8+BT4Jvg6+FH4aPh5+IP4ifiU+Kf4wvjf+Pj5C/kc+TL5U/l9+ab5x/nd+fD6DvpC+pX7A/uF/BP8pf04/cX+Rv61/w7/VP+Q/80AEQBfALQBCwFfAa0B9QI5An4CwwMJA0gDewOkA8gD9AQyBIQE4QVEBacGDwaCBwAHggf4CFkIpgjpCS4JdAmyCdwJ8An5CgsKNgp5CsgLEgtRC4oLzAwiDIkM8g1LDYkNrQ3DDdUN6g4CDhwONg5QDm0Ojw62DuEPEQ9HD4MPwg//EDYQZBCNELUQ3xENET4RcBGmEeISJhJvErYS9hMsE1sThxO2E+YUFRQ9FGEUgxSoFNIVABUuFVoVhhWzFeQWGRZOFoAWrxbdFw0XPxd0F6cX1Rf+GCIYRxhwGKAY1BkGGTAZThljGXIZghmQGZkZlRmEGWoZURlBGTsZOBkwGR8ZBRjpGNEYvhiuGKAYlBiMGIgYhxiGGIMYfxh7GHgYdRhvGGUYWhhOGEEYMRgaF/4X4hfLF7wXsRehF4cXYhc5FxMW9RbZFroWlxZ0FlcWRBY2FiIWAhXVFaUVgBVvFXEVfhWJFYgVeRVgFUUVLBUZFQ0VBhUHFQ4VGhUnFS4VLRUlFRwVFhUVFRQVCxT1FNQUrxSQFHsUbhRiFFIUPhQoFBQUAhPvE9kTvxOkE4sTdBNfE0gTMRMaEwQS8BLdEsgSsBKXEoESaBJNEi8SEBH0Ed8R1BHSEdYR4BHsEfgSAxILEhMSHhIxEksSaBKCEpMSnxKsEsIS4hMFEyITMhM3EzgTPBNDE0ITLxMFEsoSjhJfEkMSNxIwEiMSDRH0EdwRyBG3EacRlBGDEXoRehGDEY4RmRGkEbQRzxH3EiUSShJXEkUSFhHVEZIRWREwERcRCREEEQgREhEfESgRJRETEPYQ0xCxEJEQcBBLECIP+g/VD7YPmQ94D1QPMQ8YDw0PDg8ODwEO3g6kDloOCg2/DYINWQ1EDT8NQA0/DTMNHQz/DN8MvwyeDHkMUAwkC/gL0gu0C5wLhQtnCzsK+wqtClgKCgnNCaQJhglrCUsJJgkACOEIyQi0CJoIeAhOCCQH/wfhB8YHpQd5B0IHBQbLBpoGcQZLBiIF8gW+BYcFUQUaBOAEoARdBBoD2gOdA2EDJALnAqwCcgI4AfkBswFkAQwAsABO/+r/hP8k/tD+kP5g/jf+Cf3L/Xn9F/yt/EX76Pub+2L7Ovsf+wr69frb+r76m/p1+kz6IPn3+dP5tvmd+YT5ZflC+SD5BPjt+Nf4vfib+Hf4Vvg7+CT4Cffo98T3p/ea95r3n/eh96D3pPe599/4Cfgg+BD31veC9yz25vaz9oj2VfYT9cf1fvVB9RP07PTC9Iz0TvQN89TzpfOA82HzRPMt8yHzIfMs8zrzQ/NA8zLzG/L/8uLyxPKp8pDye/Jo8lPyN/IR8eHxq/Fz8T3xC/Dd8LTwj/Bu8FHwN/Ak8BrwGfAb8BnwCu/u78jvo++D72zvWu9M7z7vM+8r7yTvHe8Z7xzvKe8+71LvXu9b703vPO8w7yfvG+8E7t/use6C7lbuM+4Z7gnuAe347eDtrO1Z7PfsnOxb7DnsK+wh7BPsAev16/Dr7Ovi69Trz+vl7BvsZuyu7OXtDe077YXt7+5q7trvK+9Y72rvb+9v72fvU+8u7vjusO5X7fDthO0k7N7suOys7LDsuezH7N/tAu0s7VHtZ+1s7W3teO2W7cPt8u4X7i3uOe5G7l/uhO6s7s7u4e7l7uHu3+7k7vLvAe8K7wnu/u7u7t/u1e7S7tfu5O737w3vIe8y7z/vTO9d73Xvk++279nv/PAg8Ebwc/Cs8PPxSPGj8fnyPfJu8pHytfLk8x/zXvOW88Pz6vQX9E/0kPTR9Qr1PfVx9a318vY59nn2sfbk9xr3Wvef9+X4Jvhj+J/43vkg+WP5pPnl+ir6c/rA+w37Wfum+/r8WPy8/R79eP3I/hf+bv7U/0X/tQAWAGIAlwC/AOIBBwExAWABkgHCAe8CGAI9AmMCkQLIAwgDTAONA8oEAwQ9BHgEswTqBR4FUgWLBcsGCwZFBnIGlAawBs0G6QcABw4HFAcZBykHRAdjB3oHgQd8B3YHeQeJB6EHuQfNB+AH9ggUCDYIWAh1CI8IqgjLCPQJIwlVCYgJuAniCgIKGAomCjAKNwo3CikKCQnZCaEJZwkuCPMIuAiHCHMIiQjGCRIJTAldCUYJFwjmCMAIogiICHIIZwhtCH4Ihwh1CEIH+we8B5sHnAezB8wH2AfYB88HxwfDB8IHwgfFB8gHzgfWB+EH8ggHCBoIJAgiCB0IJAhFCIQI0gkdCVcJgQmlCcMJwwl8CMUHjwX1BDgCpgGDAPEA7AFTAfMCngMwA5oD3AQCBBgEIgQgBBAD9gPZA78DqwOYA4ADXwM3AwsC4AK1AoYCUwIdAewBwwGiAYUBZwFEAR0A+ADZAMAAqgCSAHIARwAT/9b/kf9B/un+l/5p/nn+0P9R/8L/4v+V/vT+Rf3T/cX+DP53/tH/BP8Y/yD/J/8o/xf++P7b/tH+5P8G/yT/Mv8x/y7/Mv86/z7/O/81/zT/PP9K/1L/Uf9J/0X/Sf9V/1//Y/9j/2f/dP+G/5j/pP+u/7v/z//k//X//QAAAAUAEQAkADYAQABEAEcATgBbAGkAdgCCAI8AnwCyAMMA0ADbAOoBAAEaATEBQQFHAUoBTwFaAWgBdAF9AYABgQGBAYIBhAGGAYoBjwGVAZoBnwGlAasBrwGyAbMBswG0AbUBswGtAaMBmAGSAZQBmgGdAZoBkAGGAX4BewF3AW8BYgFVAU0BSQFHAUEBNAEiAQ4A+wDpANYAwQCtAJwAjQB9AGkAUAA1ABwACf/6/+r/2f/F/7H/n/+O/33/af9T/z3/Jv8P/vb+3v7H/rP+ov6Q/n3+Z/5R/jz+J/4P/fL90P2u/ZD9dP1a/T79H/z+/OH8yfyz/J38hPxn/Er8LvwT+/b71/u1+5L7cftQ+y/7DPro+sT6pPqI+m36Uvo0+hX59vnY+bz5ofmF+Wf5R/kn+Qj47PjT+L74qfiT+H74afhW+EX4M/gg+Az39vfj99L3xPe396r3nfeS94z3jPeP95L3kveP94n3hfeD94X3h/eJ94b3gfd793j3ePd693v3efd092/3bfdu9273ZfdS9zb3G/cI9wb3Evck9zH3Mfcj9xD3B/cY91D3qvgS+Gb4iPhp+Bb3svdp91v3j/fz+GX4x/kH+SP5I/kU+QD47fjh+N745vj0+QX5F/kq+UD5Wflw+YH5h/mH+Yz5nfm8+eD5+Pn8+e/54/nu+hr6Yfqr+t767vrc+rv6m/qK+oX6hPp9+m36WfpJ+kb6UPpf+mj6YfpG+h759fnX+cf5wvm++bb5qPmZ+Yz5gvl3+Wn5WvlN+UT5Pvk2+Sr5GfkL+QT5CPkP+RP5Dfj5+Nf4qPhu+C738Pe/95z3g/do90H3EPbf9rr2pfaT9nX2P/X39a/1e/Vi9WD1ZfVk9Vf1QfUn9Q309PTc9MX0sPSY9Hn0UvQl8/jz0/O686zzq/O489Pz8/QH8/3zyPNx8w/yvfKN8n7ygfKG8oTyefJo8lDyMfII8dvxsvGV8YTxe/Fz8WrxYvFf8V/xYPFi8WbxbvF88YjxivF/8WnxVPFI8UbxR/FF8TvxMPEq8SvxMPEy8SvxH/EV8RPxHfEw8UjxZPGH8bHx3/IP8jvyYfKD8qDyvfLX8vDzBfMY8yjzNvNG81nzc/OV87zz6fQZ9E70ifTH9QL1NPVT9V31VPVB9TL1MvVK9Xz1wfYN9lT2jfa89uj3F/dK9333qffJ9+D39PgJ+CD4NfhF+FD4Xfhx+JH4ufjh+QT5H/k3+VL5dfmd+cH52vnk+en5+Poi+nP65/t1/Az8oP0o/Z/+BP5Z/qD+4v8j/2r/uAAMAGUAvwEZAW8BwQINAlYCnALeAxkDRwNqA4kDswPxBEcEqgUPBWwFxAYgBoMG7AdSB7AICQhrCNwJWgnTCjMKbwqOCqMKvwrrCx4LUQuBC7YL+wxWDL0NIA1uDaENvw3UDeoOAg4ZDikOMg46DkYOWw56DqEO0A8HD0QPhg/HEAUQPBBvEKEQ0xEGETkRahGeEdcSGRJfEqQS4hMXE0QTcBOfE9AUARQrFFEUcxSYFMIU8RUiFVMVhBW0FeUWFRZGFnUWpBbUFwUXOBdqF5sXyhf2GB0YQhhoGJIYwxj2GScZThlpGXsZiBmVGaAZpBmbGYcZbRlYGUwZRRk+GS4ZFxj6GN0YwxitGJgYhhh5GHMYdBh2GHgYdxh0GHAYahhhGFUYRhg2GCgYGRgHF/AX1xfCF7IXpheWF34XXBc2FxEW8BbTFrUWlhZ3Fl4WTBY9FigWBhXYFaYVexVdFVAVTBVJFT0VJhUGFOQUwhSkFIkUcRRdFFEUUhRgFHcUkxSuFMcU3hTzFQAU/xTuFM8UrBSOFHgUZxRTFDkUGhP9E+cT1xPJE7YTmxN8E18TRxM1EyYTGRMLEv0S7RLcEscSsRKZEnwSaBJUEj0SIhIIEfQR7BHxEf8SDxIdEiYSKxIwEjkSSRJdEnISgxKOEpQSmxKrEscS7BMSEzATQBNBEzgTKRMXEv0S2BKmEnASQhInEiUSNBJFEksSQBIpEhER/RHwEeQR1hHHEbwRvBHKEeAR9hIFEg8SHBIwEksSZxJ1EmoSRBIJEcYRiRFbET4RMhExETYRPRFBET0RLREREO0QxhCjEIQQZxBIECcQBw/qD9APtQ+WD3EPTA8vDyIPJQ8wDzgPMQ8VDuEOmQ5EDe8NpA1uDUwNOQ0sDRwNBQzqDM0MsAyQDGsMPwwPC+ALtguWC38LbAtVCzEK+wq2CmwKKAn0Cc0JrQmJCV4JLwkGCOcI1AjDCK4IjghmCDwIFwf4B9oHtweMB1cHHQblBrEGggZUBiQF8gW+BYsFWQUlBOwEsARzBDcD/wPHA4sDSQMCAr0CfAI/AgABuAFmAQsArgBS//j/oP9N/wL+w/6P/mD+LP3s/Zz9PfzV/G38DvvC+4r7ZPtI+yz7Cvri+rn6k/pw+kz6Jvn++dj5uvmh+Yn5bflL+Sj5Cfju+NT4t/iV+HD4Tvgx+Bf3/Pfd9773p/eb95r3m/eb9533pve999v37ffj97L3ZvcS9sv2mvZ39lH2H/Xe9Zj1WfUl9Pn0zvSc9GH0IvPn87TzifNj8z/zHfMC8vPy8fL68wfzD/ML8vry4PLC8qPyhfJo8kzyM/Ia8gHx5PG/8ZLxYPEs8PnwyPCc8HPwT/Av8BLv/O/t7+nv7e/y7/Hv4O/A75fvbe9K7zHvHO8K7vju6e7d7tPuyO6+7rnuvu7M7tzu5u7i7tTuwe6x7qXume6H7m3uT+4y7hruCO397fvuAe4F7fnt0e2M7Trs8+zG7LDsm+x27EDsCuvv6/jsF+wv7CzsDuvt6+Dr7+wP7C/sSOxj7JLs4u1O7cbuOe6d7vDvM+9h73bvcu9X7yzu8O6d7i7tq+0p7MTsj+yI7Jvssuy+7MPszOzf7PvtFO0h7SLtJe037V/tmO3T7gXuKe5G7mTuiO6u7s7u4O7l7uTu5+7z7wbvF+8a7w7u9e7Y7r7urO6l7qjusu7B7tHu3e7m7u/vAe8d70Lva++R77Tv2PAA8DHwaPCl8OXxKfFv8bLx8PIm8lnykPLO8xDzTvOB863z2fQP9FH0lvTU9Qb1MfVi9Z715/Yz9nr2ufb29zX3efe99/74Ovh0+LD48Pky+XH5r/nu+jT6gPrP+x/7cPvE/CD8g/zm/UD9jv3V/iL+gP7x/23/4gBBAIMArQDLAOgBCgEzAWEBjwG6AeICCAIvAlsCjwLKAwoDSgOJA8UEAwRBBH4EtwToBRUFRQV/BcMGCwZNBoAGpQbDBuAG/QcWByYHLQcwBzgHSgdhB3QHfweDB4YHjgeeB7IHxQfYB+8IEAg6CGcIjwiuCMcI4wkICToJdgm2CfUKKgpPCmEKYgpaClMKTwpJCjYKDgnTCZAJUQkfCPUIzwiwCKMItgjqCTAJbQmJCX4JVwkkCPMIxwieCHoIZQhjCG8IdghjCC4H5AeiB30HfgeZB7gHywfMB8MHuQe0B7UHuQe/B8oH2gfxCA4IKgg9CEAIMwgiCCEIQQiFCNsJLAlkCYQJmQmrCaoJbgjFB5oGBARJAsABrwEzAUABrwJQAvkDjAP2BDQETAROBEoERgQ+BC0EDwPpA8MDpAOKA28DTgMlAvUCwwKRAl0CKwH7Ac4BpQF+AVcBMAELAOkAyQCsAJAAdQBaAD4AHv/4/8n/i/84/tH+Zv4X/gv+W/71/5wAAP/p/1r+k/3s/aX9xf4j/oT+xf7l/vX/A/8K/wD+4v69/qf+q/7D/t3+7P7x/vX/Af8Q/xn/Fv8O/wn/Dv8a/yH/Hf8T/w3/Ev8h/y//Nv83/zr/Rv9Y/2r/dv99/4X/k/+m/7b/wf/H/9D/4P/1AAgAEwAXABwAJgA2AEYAUgBaAGIAbgB/AJAAnQCoALUAxwDdAPEA/gEDAQUBCwEYASoBOwFHAUwBTAFIAUMBQQFEAUwBVgFgAWUBZwFqAW4BdQF7AXwBegF1AXIBcAFrAWQBWgFVAVcBXgFkAWMBWgFPAUYBQgE/ATkBLgEhARYBEAELAQQA9wDnANUAxACzAJ8AiQBzAGAAUgBFADMAGv/8/+D/yv+5/6v/nP+K/3b/Yf9O/zr/Jf8P/vj+4f7I/rD+mP6C/m/+Xf5J/jP+G/4E/e/92/3E/af9hf1j/UP9J/0N/PP81/y8/KL8i/xz/Fn8O/wd/AD75fvK+637jPtr+0r7LPsN+uz6xvqf+nn6Wfo/+if6Dvnx+dD5r/mO+XH5Vvk7+SD5Avjk+Mf4rPiV+H/4avhV+ED4Lfga+An3+Pfk98/3ufel95T3hfd392n3XvdW91L3UfdS91X3V/dY91f3VPdS91H3U/dW91n3WvdX91P3UfdS91H3TvdG9z33OPc59z73Qfc79yr3E/b+9vH27vb19v/3BPcA9vH23vba9vf3P/er+Bv4ZPho+CT3u/df9z33ZvfL+EX4r/jz+Q/5D/j++Of4z/i8+LX4u/jN+OX4/fkT+Sj5Qfle+Xr5kPme+an5uPnM+eT59Pn5+fT59foL+j36hfrN+wD7D/r8+tX6rfqS+oj6ivqP+o/6hvp3+mn6Y/pm+mv6afpZ+j36G/oB+fL57fnp+eD5z/m7+an5mvmN+YD5dPlt+Wv5aflj+VP5Pvkt+Sb5Kfks+SX5Efjx+Mz4ovhz+Dv3/vfG95r3e/de9zv3Dfbe9rn2o/aT9nn2SPYD9b31ivVz9XD1cPVn9VP1OfUi9Q/0/fTr9Nb0wfSp9I30Z/Q59Azz6vPc8+b0BfQy9GP0ivSV9Hb0K/PE81/zF/L48vby+PLq8sTykvJl8kXyMPId8gbx6fHM8bLxnvGM8XvxbfFk8WLxZvFt8XbxgvGN8ZbxlvGN8X7xcfFu8XLxePF28WvxXfFR8UvxSfFE8TnxLfEl8SjxN/FP8Wvxi/Gv8djyBPIw8lfydvKO8qTyvPLX8vbzFfMv80HzT/Nb82zziPOv8+H0HfRj9LL1BvVV9ZL1sfWw9ZT1bfVL9Tv1RfVo9Z/14vYm9mT2mfbH9vX3JPdU94D3o/e999H35Pf5+A34Hfgo+DL4Qfha+H74qPjT+Pn5Gfk1+VP5dfmb+b351Pnd+d755/oI+lH6wPtM++H8b/zq/VD9pf3v/jX+fP7J/xv/cf/KACUAggDfATkBjQHZAiECaAKvAvIDKwNVA3YDmgPPBBsEeQTbBTgFjQXgBjQGiAbYByQHdAfYCFkI9AmVCiIKiQrKCvALCwslC0ELYAuGC7wMCQxpDNANLQ10DaUNxw3kDgEOGg4qDi4OKA4iDiIOLg5GDmkOlQ7KDwkPTg+VD9kQGRBTEI0QxhD+ETURahGdEdISDBJKEokSwxL5EyoTWhOLE70T7RQaFEIUaBSOFLYU4xUTFUYVehWtFd4WDBY3FmQWlRbJFwAXNhdoF5cXxBfvGBcYPRhgGIQYsBjjGRoZShluGYQZkRmcGacZsBmxGaYZkhl8GWsZYBlYGUwZOxkkGQkY7RjQGLEYlBh+GHEYbhhwGHQYdRh0GHAYaxhhGFEYPRgpGBcYCRf7F+oX1hfAF6oXlBd8F2EXQhchFwIW5xbOFrUWmhZ+FmUWThY4Fh8V/hXWFasVgxVgFUUVLRUVFPgU1hSxFI0UbBRPFDEUDhPpE8cTsxO0E8gT6RQPFDQUVBRwFIYUkRSQFIQUcxRmFF0UUxRCFCQT/RPXE7sTqhOfE5MTgBNmE0oTMBMaEwkS/RL0Eu0S5RLYEsUSrRKUEnYSZRJZEk0SPBIoEhcSEhIaEiwSQBJNElESUhJXEmYSfBKTEqISphKiEp8SqBK/EuQTDhMyE0cTSBM3ExoS9hLSEq0ShhJdEjUSGhIXEjASXRKNEqsSrxKcEoISbRJiElsSUBI/EjASLhI+El0SexKOEo8ShxJ/En4SgxKDEnQSUBIcEeERrBGGEXIRbBFtEW4RaBFbEUQRJxEFEOEQvxChEIgQchBcEEMQKRAPD/QP2Q+8D5wPfA9gD0sPQQ9CD0kPUQ9PDzsPCw7ADmAN+w2iDV4NMQ0UDP8M7AzYDMQMrQyRDGsMPAwHC88LnAtzC1ULQAstCxEK5wquCm8KNQoGCeEJvgmUCWIJLgkCCOUI0wjDCK0IjQhmCD8IHQf/B+IHvweUB2AHJgbsBrQGfwZNBhsF5wW0BX8FSQURBNQElgRbBCUD9QPEA44DTgMIAsMChAJKAg4BygF6ASEAxwBuABn/yP97/zP+8/67/on+Vv4b/dT9gP0j/MP8afwe++X7uPuO+1/7J/rq+rP6h/pm+kj6KPoD+d/5wPmo+ZL5ePlY+TX5Ffj4+N74wPib+HP4S/go+An37PfP97b3o/eZ95X3kfeN94z3lfen97f3s/eP90z2+vav9nv2WvY/9hr15PWk9Wb1MvUG9Nv0q/Ry9Dbz/fPL85/zdfNL8yDy+fLa8snyxfLL8tXy2fLS8sDypPKE8mXySPIt8hHx9PHW8bbxlPFu8UfxH/D18MzwoPB08ErwI/AB7+Xvz+/B77vvvO+/77vvqu+M72XvPe8c7wLu6+7V7r/urO6f7pbui+597m7uY+5f7mLuZu5m7mDuV+5O7kLuL+4U7fTt1+3D7bztvu3H7dbt6e377gLt9O3T7a7tle2S7ZXtg+1L7Pbsp+yJ7Kzs+O067UXtDOyn7D/r9uvT68frw+vF69Xr/uxG7KftGO2Q7gvugO7l7y/vXe9w727vUe8Q7qLuD+1z7PPsreyh7Lns0ezT7L/sp+yh7LLsz+zo7PLs8+z67RXtR+2H7cbt++4k7kjubu6U7rXuye7R7tLu1+7l7vnvC+8R7wbu7e7N7q/ul+6L7orule6m7rbuwO7E7sru2+767yPvTe9w747vsO/d8BjwXPCh8ODxG/FT8Y3xx/IC8j/ygPLE8wXzPfNr85XzxPQA9Ef0jvTM9P71K/Vf9aD16/Y69oT2yvcP91T3mffa+BT4TPiH+Mf5CflJ+YT5vvn++kf6mPrr+zv7i/vh/EP8q/0Q/Wf9rv3v/jr+m/8R/43//QBVAI8AtgDVAPUBGwFFAW4BlQG4AdsCAAIpAlkCjwLKAwgDRwOHA8cEBwRGBIAEswTgBQoFOAVyBbcGAgZJBoUGtAbZBvkHFgcrBzgHOwc8B0AHTQdiB3kHjgeeB6sHuAfEB9AH3AftCAoINQhrCKII0AjxCQsJJglMCYIJxgoSCl0KmwrDCs0KvAqbCnkKYApNCjUKDAnPCYkJSwkfCQMI7gjbCM4I1wj9CTwJfwmtCbUJmgllCSYI5gipCHYIVQhLCFAIVAhDCBUH1QeZB3oHfweeB8IH2wfiB90H1wfVB9kH4AfmB+4H/AgTCDEITgheCFsITQhFCFkIkwjpCT8JfAmVCZgJlQmNCV8I0wfDBjcEcgLYAcIBVQGAAgcCrgNLA8wELQRtBI0EkQSCBG8EYARRBDwEGwPyA8YDoAOAA2IDPwMUAuACpgJoAiwB9gHHAZ4BdgFNASAA9gDTALgAoACGAGYARAAjAAf/7P/N/6X/bv8l/sX+Vf3w/cL98v6H/1D/9gAo/8n/Bv45/bj9pP3h/jf+ef6c/rH+x/7d/uT+0v6u/o7+gf6I/pX+nv6i/qr+u/7R/uL+5f7f/tv+4P7q/vH+6/7f/tf+3f7u/v//Cf8L/w3/F/8p/zn/Qv9F/0n/Vv9r/4D/kP+b/6b/tv/K/9z/6P/v//cABAAVACQALAAvADMAPgBPAGIAcgB9AIgAlgCmALMAugC6ALsAwQDQAOUA+wELARIBEQEJAP8A+gD+AQwBHwEuATUBMgEuAS0BMwE7AT8BPQE4ATQBMgExASwBJAEdARwBIgEqAS0BJwEcARIBDgEMAQoBAgD2AOgA3ADRAMUAtgClAJUAhwB3AGQATQA1ACEAEwAG//j/4//I/63/lv+C/3L/Yf9O/zr/Jv8Q/vr+4/7L/rP+m/6C/mr+U/4+/iz+Gf4F/e791f29/ab9jv10/VX9M/0R/PT82/zE/K38lfx+/Gb8Tfwx/BL78PvQ+7P7mft++2D7P/sd+v764vrF+qX6gPpZ+jT6FPn5+eD5xvmp+Yr5aflJ+Sr5Dvjy+Nf4vPii+Ij4cfha+ET4LvgY+AP37vfc98r3t/ej9473d/di9073Pvcw9yX3Hvca9xb3E/cR9xP3Gfch9yf3KPcj9x73HPcf9yb3LPcs9yn3Jvcl9yb3JPcd9xL3CfcH9wv3EPcQ9wj2+vbo9tj2zPbH9sj2zvbT9tD2w/a59sb2/Pdc9874J/hA+BH3tvdi90X3cvfZ+FL4tvjx+QT4+/jk+Mn4rfiY+JD4m/i1+Nb48/kJ+Rn5LflJ+W35kfmv+cX51vnn+ff6A/oH+gf6Dvoo+lr6nvrj+xb7Kfsa+vT6yPqo+p36p/q8+s360frD+qv6lfqL+oz6j/qH+nH6Uvo2+ib6IPob+hD5+/ng+cb5sfmh+ZT5jfmM+ZH5lvmT+YP5a/lW+Uv5SvlI+Tf5Ffjm+Lb4i/hg+DH3+/fF95j3efdg90H3Fvbl9rj2mPaC9mf2PfYF9c31o/WO9Yf1f/Vt9VP1OvUn9Rr1DfT69OH0xfSq9Iz0aPQ/9Bn0BfQM9C70X/SR9LX0wPSs9HX0JPPK833zUfNG80nzQPMY8tPyhfJG8iXyHfIc8hPx/fHf8cDxpvGQ8X7xbvFk8WHxZfFu8Xrxh/GS8ZrxnPGW8Y7xifGL8ZPxm/Gd8ZfxjfGC8XnxcfFn8VnxTfFJ8VDxYfF58ZPxrvHL8ezyEPI08lTybPJ/8pDypfLA8uLzB/Mn8z/zUfNg83bzl/PH9AL0R/SV9Or1QvWP9cL10PW79ZD1Y/VG9UT1XPWH9bz18/Yo9lr2jfbD9v73O/dy9573uvfM99n35/f2+AT4D/gY+CP4N/hU+Hn4ovjL+O/5D/kq+UT5X/l9+Z/5vvnV+eT58/oQ+kv6qfsi+6b8JPyS/O/9QP2N/dz+L/6G/t7/OP+U//IAUgCyAQwBXAGiAeQCLAJ8AtADHQNWA3wDmgPBA/0ETwSuBQ4FaAW6BgcGTgaOBssHDwdnB94IcQkRCakKKAqICskK8wsQCycLQwtuC7AMCAxvDNQNLQ1zDakN1g37DhcOJg4nDhwODQ4DDgMODg4iDj8OZg6ZDtkPIQ9uD7gP/RA8EHcQsxDwESsRZBGZEcsR/RIxEmcSoBLZExETRxN6E6wT3BQLFDkUZRSPFLcU4BULFTsVbxWiFdMV/hYnFlIWhBa+FvoXMxdnF5YXwRfsGBUYOhhaGHkYnxjPGQcZPxlsGYoZmxmmGbEZvRnFGcIZtRmiGY8ZgRl4GXAZZRlXGUQZLBkNGOcYvhiYGHwYbBhnGGcYaRhsGG4YbRhmGFcYQRgoGBIYARfzF+UX0he5F5wXfxdhF0YXKxcRFvkW4RbJFrAWlBZ3FlsWQBYmFgwV8RXVFbUVkhVrFUIVGBTsFL4UkRRlFD8UIRQJE/IT1xO0E5ETdhNrE3ITgROQE5sToxOvE78T0hPjE+0T9RP/FA0UGxQfFBMT9hPRE64TlROFE3oTbhNdE0gTLxMVEv4S6xLhEt0S3BLVEsUSqxKPEn8ScxJuEmsSZBJXEksSSBJSEmUSeBKCEoESfhKCEpISrBLDEs4SyRK+ErwSzRLxEx8TRxNdE10TRxMkEvwS1hK2EpsSgRJlEkgSNxI+EmcSqhLvEx4TKRMWEvkS5RLiEuYS4hLRErgSqRKtEsIS2hLlEt0SyBKxEqASlRKGEm0SRRIVEeURvxGpEaARoBGeEZQRfhFeEToRFxD2ENoQwBCoEJQQhBB1EGUQUBA4EB8QBw/zD+APzA+zD5QPcw9YD0kPTA9aD2MPVA8gDsYOVQ3iDYANOA0KDO8M3gzRDMUMtQybDHUMRAwJC8oLjwtcCzYLHQsJCvMKzwqeCmQKLQoACdsJtwmMCVkJJwj+COIIzwi7CKEIfghYCDUIFgf7B94HuwePB1oHHgbfBqIGaQY2BgYF1gWkBW8FNwT7BLwEewQ8BAQD0gOjA3EDOAL8AsACigJYAiQB6AGhAVEA/wCtAFoABv+z/2L/Gv7e/qr+e/5K/hD9zP1+/Sv82vyR/FT8Hvvm+6X7XPsQ+sz6mPpy+lP6MvoO+er5zPm1+Z/5hvln+UX5JPkI+Oz4zPil+Hn4T/gp+Ar37vfU9733qved95L3hvd793X3dvd893r3ZPcw9uf2m/Zf9jr2I/YI9d71pPVm9TD1BfTh9Lf0hfRL9BHz4PO1847zY/M18wby3PK88qnyn/Kd8p3ymfKP8nzyYvJF8ijyDPHy8dfxu/Ga8XfxUvEu8Q/w9PDb8L7wmfBs8DvwDe/m78fvsO+d75DviO+E737vce9a7zvvGu787uLuyu6x7pjugu5y7mXuVu5B7ifuDO357fDt7+3w7fDt7O3i7dDtsu2L7WLtQ+037TvtS+1d7W7tfu2O7Zrtnu2d7aHttu3d7gPuCu3f7Y/tRe0v7WLtxe4c7i/t5e1W7LLsJ+vK65TrdOth613rb+ub693sMeyU7QTtf+387nPu2e8q72Lvde9X7v7ude3Z7VTtBuzz7QLtD+0B7NXso+yG7I3ssOza7PbtAO0B7QrtJu1T7YftuO3j7gruM+5e7oPunO6m7qbup+6y7sbu3e7v7vfu8e7i7s7uue6p7qXure697s7u2O7b7t3u6O8C7yTvRu9h73rvme/I8AnwU/Cb8NzxFvFN8YTxvvH48jTyc/Kz8vHzKPNW84HztPPy9Dn0gPS/9Pb1K/Vo9a71+vZF9o321Pce92j3rvft+Cb4Yfii+Oj5Lflq+Z/51foW+mX6uvsL+1X7nvvx/FT8w/0w/Yz91v4Z/mb+xf80/6UACABSAIcArwDVAQABLQFaAYEBoQG+Ad0CAQIrAlwCkgLLAwkDSgOOA9EEEgROBIMEsgTdBQcFNQVsBawF8wY7Bn8GuQbnBwoHIwczBzsHPwdEB04HYQd6B5cHsQfGB9UH3wflB+sH9ggLCC8IYgieCNsJDgk1CVQJcQmWCcYKAgpICpEK1AsDCxIK/grPCpcKZgpBCiIJ/AnJCYwJVgkwCRwJEQkGCPsI/QkZCVAJkwnKCd0JxwmPCUQI9QirCG4IRwg3CDgIPQg1CBUH5ge5B6QHrQfNB/MIDQgYCBcIFAgWCBwIIggkCCQIJwg0CEoIYwh2CH4IgwiVCMIJCwleCZ0JtgmpCYYJXAkgCKkHyAZuBMMDIgHzAXQBogJAAvsDmgQIBE8EgQSkBLQErwSZBH0EYwRMBDMEEQPnA7oDjwNoA0IDGgLtArkCfQI7AfkBvAGJAV8BOAEPAOQAvQCfAIkAdgBcADoAFv/3/93/wf+c/2z/Nf75/q/+T/3i/Y39hv3v/rP/hP/+/+P/QP5r/cX9hv2l/e3+KP5G/lX+bP6N/qj+rP6X/nn+Y/5e/l/+Xv5b/l7+bv6G/pz+pP6h/p3+o/6w/rr+uv6y/qz+sf7C/tT+3/7h/uP+7f7//w//GP8Z/xr/Jf86/1H/Y/9t/3b/g/+V/6j/t//C/8z/2f/o//T/+v/7AAEADgAiADgASQBUAF0AZwBxAHgAeAB0AHMAegCKAKEAuADKANMA0wDLAMAAuQC+AM8A6AD9AQUA/wDzAOwA7gD2APwA/AD3APQA8wD1APMA7ADkAOIA5gDvAPUA8wDqAOEA3QDcANwA1gDKALoAqQCXAIYAcwBiAFEAQwA1ACQAD//4/+T/0//H/7r/qv+W/4H/av9V/0D/Kv8U/v/+6f7T/rr+of6H/m7+Vv4+/if+Ef38/ef90/2+/af9kP14/WD9Rv0p/Qj85vzH/Kz8lvyA/Gr8U/w7/CP8Cfvr+8v7qfuK+277VPs5+xn69/rV+rX6mPp7+lz6O/oZ+fj52vm9+aD5gvlj+UX5KPkL+O740Piz+Jf4fvhm+E/4OPgi+Az39ffe98f3sfed94r3ePdk90/3N/cg9wv2+fbr9uP24Pbe9tv21vbR9tL22vbn9vP2+fb19u/27fbz9v33BfcF9wD2+vb69v33APb99vT26fbi9uD24fbf9tn2z/bD9rf2qvae9pj2mfag9qP2n/aY9qD2y/ch94336PgP9/f3uPeB93z3t/gc+IX40Pjv+Or40vi0+Jf4fvht+Gr4efiX+Lv42vju+Pv5C/km+U35ePmh+cH52/nw+gP6EPoX+hv6Ivo3+mD6mvrZ+wz7J/sk+wv66frQ+sz63/sC+yP7Mvsp+w768frg+t763/rV+rn6kvps+lb6TvpL+kD6J/oG+eX5yvm2+ab5m/mZ+aH5rvm2+bD5nPmD+XD5Zvld+Uj5H/jo+K34d/hH+Bn36Pe495H3dvdi90n3Ivbu9rr2jvZt9k/2LPYD9dr1u/Wp9Z71j/V79WL1TfU/9TP1IfUG9OX0xPSo9I30b/RQ9Df0MfRG9Gz0k/Sn9J70evRE9Ajz0POi84XzePN2827zT/MR8rzyZ/In8gnyBPIG8gDx6/HO8bLxnfGN8YDxcvFn8WLxZfFt8XnxhPGO8Zbxm/Gc8ZrxmPGa8Z/xpfGr8a3xrfGq8aXxm/GN8Xzxb/Fr8XPxhPGa8bDxxPHZ8fDyCvIl8j/yVvJq8nzykfKr8svy7/MR8y7zRvNe833zqPPd9Bn0WfSb9N/1IvVb9X/1hfVx9VH1NvUx9Ub1b/Wj9dj2BvYv9lf2hPa89v73Q/eA9673yffW99/36vf19//4B/gQ+B/4Ofhb+IL4qPjN+O/5Dvkn+Tr5S/lj+Yj5t/nn+g76K/pH+nL6tvsR+3n74Pw+/JP85v08/Zj99f5R/qr/A/9f/78AJACHAOEBLwFxAbEB+gJQAq4DBQNHA28DiAOmA9gEJQSFBOoFSQWbBeIGIgZeBpsG3gcuB44H/wh9CP8JfQnvCk0KkgrBCuYLEAtNC6QMDAx4DNwNMA14DbYN6g4PDh8OGQ4FDe8N4Q3gDeoN+g4ODiYOSQ55DrkPBA9TD6AP6BApEGYQohDfERsRVhGMEbsR5xITEkUSfRK6EvkTNBNpE5sTzBQAFDUUaRSYFMEU5hUNFTkVaRWbFckV8hYaFkUWeRazFvEXLRdiF5IXvxfrGBQYNxhVGHIYkxjAGPcZMhlmGYwZpBmzGb4ZyRnRGdAZxxm4GacZmhmRGYoZgxl6GW4ZXBlAGRoY6xi5GIwYaxhXGFAYUBhWGF0YYhhhGFUYPxglGAwX+BfpF9kXxherF4wXbRdPFzYXHxcKFvMW2ha+FqAWghZkFkcWLBYTFf0V6hXYFcIVoxV6FUcVDhTTFJgUXxQpE/sT2RPEE7cTqxOdE40TgRN8E3sTdRNjE0cTKRMWExQTIRMyE0ETUBNjE4ETqBPOE+UT5hPSE7ETkBN2E2UTWxNTE0gTNhMeEwIS6RLaEtQS1RLSEscSsBKWEpcSjhKNEpASjxKKEoQShBKPEqISsxK6ErYSrxKvEr0S1BLnEuwS5RLcEuQTAxMzE2MTgROCE2kTQxMdEv8S7hLnEuIS1hK/EqISjRKTEr0TAxNKE3cTexNhE0MTORNGE1oTYBNKEyQS/xLsEuwS8RLvEuASyxK3EqkSmxKFEmISMxIEEdwRwxG4EbYRthGwEZ4RgBFaETQRFBD6EOUQzxC5EKQQkxCFEHgQaRBYEEgQPhA8ED0QORAkD/gPug94D0YPMw8+D1cPZA9MDwYOmg4gDa4NVA0WDO8M2AzMDMMMtgyfDHsMSQwPC9ALkwtdCzILEwr8CuMKvgqMClIKGQnpCcIJnQlzCUQJFQjtCNAIuAifCIEIXwg8CBsH/QfeB7sHkwdlBy8G8wazBnMGOQYGBdgFrAV9BUsFGQTlBK4EcwQ1A/cDvAOGA1MDHwLsArsCjgJjAjYCAQHFAYMBPgD3AKgAUf/z/5b/Q/8A/sz+of54/kr+Ff3W/ZH9Sf0C/MD8f/w8+/T7pftX+xD61vqn+n/6V/ov+gn56fnO+bX5mvl7+Vv5PPke+P/42viv+IP4Wvg6+CD4CPfw99b3vPel95D3fPdp91r3UPdG9zP3DfbS9oz2SvYZ9fz15/XK9Zz1YfUn9Pj01fS19I70XvQn8/TzyPOh83rzTfMc8uzyxPKl8o/yfvJv8mLyVPJG8jXyIfII8ezxz/Gz8ZjxffFg8T3xGPD18Nrwy/DB8LXwm/Bw8DvwBu/Z77jvnu+I73LvYe9W71DvSO867yTvCO7r7tHuuu6i7ojube5T7jjuGe307cztp+2O7YHtfe167XPtZu1R7TXtE+zu7M3suey27MDsz+zY7Njs0+zP7M/s0ezX7OjtC+1B7Xvtnu2a7XLtR+0/7W7twO4H7hLtyu1A7J3sB+uW60jrFOr26vDrBOsv62nrp+vo7DLsj+0B7YTuCu6H7uzvLO857w/ute5E7dztl+167XTtae1D7QHstuyB7HPsjuy97OvtCO0U7RvtJ+0/7WDtg+2n7c3t+O4m7k/uau5z7m7uae5t7oHuoO7E7uXu/u8M7w7vBO717uju5e7r7vbu/+8C7wXvDe8g7zrvVe9r74Dvnu/K8AbwSfCL8MrxBfFA8Xzxt/Hu8iXyXvKc8tvzFfNI83bzqPPj9Cb0bPSu9O71MPV29cD2CPZN9pD21vch92/3uPf5+Df4efjD+RH5WPmR+cL59vo4+oj62fsg+1z7mfvl/Ev8w/08/ab9/v5N/qD+/v9i/8AADwBLAHkApADTAQcBPAFrAZIBsAHKAeYCCAIyAmMCmQLTAxMDVwOdA+IEIARWBIcEtAThBQ4FPAVuBacF6QYyBn0GvwbzBxQHJgcvBzcHQQdSB2kHhQekB8EH2AfnB+4H8Qf0B/4IEggyCF0IkQjLCQQJOglqCZQJugneCgQKLQpeCpYK0wsHCyILGgruCqsKZQoqCf8J2wm1CYsJYwlJCT4JPQk/CUAJRwleCYgJuwnjCe0J0QmVCUgI+AivCHQITAg6CDoIQQhDCDQIGAf9B/MH/wgdCDwIUQhWCFIITAhMCE4ITghKCEUIRQhSCGsIiQikCLkIzQjuCSMJZwmnCcsJwgmPCT0I0ghBB24GRgTbA2cCQgGyAckCXQMfA8kEOQRzBJQErgTEBMwEvwSfBHgEVAQ2BBgD9gPOA6IDdANEAxIC4QKyAoICTgISAdABjwFXASkBAgDcALQAjwByAFwARgApAAb/6P/T/8P/qv96/zr++f7D/pH+Sf3e/Wj9JP1Q/fb+1f9//5v/HP5K/ZP9Qf1Y/aT95f4B/gX+EP4v/lb+bf5r/ln+SP5A/j3+N/4t/ij+Mv5I/l7+aP5l/l7+YP5u/n/+if6J/oj+jv6c/qv+tP62/rr+xv7a/u3+9/74/vf+/v8P/yP/Mv86/0H/TP9e/3P/hv+U/57/qf+0/73/wf/F/87/3f/zAAcAFgAfACcALwA3ADoAOAA0ADMAPABOAGQAeQCIAJEAlACRAIoAhACGAJUArADCAMwAxwC7ALEAsAC3AL0AvgC5ALQAswC0ALQAsQCrAKkArQC2AL0AvwC6ALIArQCsAKoApACXAIUAcQBdAEoANwAjABEAAf/y/+P/0f++/6v/mv+L/33/b/9h/1D/Pf8m/w3+8/7Z/sL+rP6U/nr+X/5D/iv+Ff4A/ev91f29/aX9jf10/Vz9Rf0v/Rn9Afzl/MX8pfyI/G/8WPxB/Cj8Dvv1+9z7wvum+4j7avtO+zP7Gfr9+t36uvqY+nj6Wvo7+h35/vnh+cX5qfmL+Wn5Rvkl+Qj47fjT+Lb4mPh7+GH4Sfgx+Br4Avfr99P3vPel9433dvdh9073PPcp9xX2/vbo9tP2wfaz9qv2qPam9qP2nfaX9pf2nvar9rn2wPbA9r/2w/bQ9t/26Pbo9t/21/bV9tr23/bd9tX2yvbC9r/2vPa39q72o/aZ9o/2g/Z19mz2afZu9nL2cPZt9nj2pvb992v3y/f99/r32ffE99r4H/h6+MX46Pjg+L74l/h3+GD4UPhH+Eb4U/hr+Ir4pvi9+ND45/kG+S35WfmB+aX5w/ne+ff6DPob+iX6MPpC+mD6jPq9+ur7CPsU+w/7A/r9+wj7J/tU+377lfuS+3n7XPtI+z/7OPsj+vr6xPqT+nb6bPpq+mD6SPol+gL55/nQ+bz5qfmd+aH5svnH+dH5x/mu+ZH5eflm+U75KPjw+K/4b/g2+AT31vet94v3c/df90f3I/bz9rz2ivZg9j72HvX+9d/1xfWy9aL1k/WE9Xb1avVf9U71MvUO9Or0zPS39KX0kfR69Gz0cPSG9KP0rvSW9Fv0DfPG85nzivOR857zpfOd83/zSvMC8rHyZvIv8hDyAvH58erx1fHA8a/xpfGd8ZLxg/F08WvxafFt8XXxffGE8Y3xlvGd8Z/xnvGb8ZjxmvGh8arxtfG88bvxsPGc8Yfxd/Fz8X3xkPGm8b3x0fHk8ffyC/Ig8jXyS/Ji8njyjfKk8r7y3PL88xzzO/Nc84HzrPPd9BD0P/Rs9Jn0xPTs9Qn1FvUV9RH1FfUp9VD1g/W79fD2HfZD9mT2iva59vP3NPdv95v3t/fH99P34Pfu9/v4BfgR+Cf4Rvhs+JL4tPjT+PL5EPko+Tr5S/lm+ZX52Pog+lz6hPqd+rf64Psd+2f7tPv9/Ef8mPz0/Vj9vf4d/nf+z/8q/4r/7wBUALEBAgFKAY8B2gIvAocC2AMUAzkDUgNxA6cD+QRfBMsFLQV9Bb8F+wY5BoAGzgccB2kHswgECGUI2AlUCcoKKApsCqAK3AsvC5oMEAx+DNwNKQ1uDa0N4Q39DfsN4Q2/DakNqQ27DdQN7Q4CDhkOOw5sDqsO9A9CD40P1RAZEFgQlBDOEQgRQRF2EaQRzhH3EiYSXhKeEuETHxNXE4oTvRP1FC8UZxSXFMAU5RULFTYVZhWVFcAV6BYRFj4WcxauFusXJhdcF44XvRfqGBMYNRhTGHAYkhi9GPIZLBliGY4ZrBm+GckZ0BnSGc8Zxxm8GbEZqBmhGZgZjhmBGXQZZRlPGTAZBRjRGJ0YbxhPGD0YNxg7GEMYShhLGEIYLxgXGAEX7xfiF9YXxRetF44XbBdLFy8XFxcAFukWzhayFpYWexZhFkcWKxYQFfkV5xXbFc4VtxWSFV0VGxTTFIoUQRP9E8MTmROAE3cTdxN6E4ATiBOSE5YTixNrEzoTBRLdEskSxBLEEr8SuhK+EtgTCRNHE4ATphOwE6ITiBNsE1gTTRNIE0MTORMnEw4S9BLfEtMSzxLNEsYSuBKmEq4SqBKnEqsSrxKyErQSuhLFEtYS5RLrEucS3xLdEucS+BMFEwYS/hL7Ew0TNhNrE5UTohOQE2oTRRMxEzITQhNTE1sTUBMzEw4S8xL1ExkTVBOLE6MTlhN0E1wTYBN9E5sTnhN7E0ETCRLmEtkS1RLOEr8SsBKlEp8SlBJ7ElMSIhH0EdERvRGzEbARrRGmEZcRgBFjEUYRLREZEQYQ7xDUELgQoRCPEIIQeBBvEGwQcxCDEJUQnBCIEFIP/g+dD0oPGQ8TDyoPQw9BDxUOvw5RDeENfQ0sDPEMygy1DKoMoAyPDHEMRgwTC9sLpAtwC0ILHAr8CtsKswp+CkEKBgnSCacJgAlUCSQI8wjICKQIhAhmCEcIKggNB/AHzgekB3QHQgcPBtsGowZoBi0F9gXHBZsFbwVABREE5wTCBJ4EcwQ9A/8DvQN+A0UDEQLhArUCjAJkAjoCCgHVAZ4BZgEqAOUAkQAx/9D/d/8w/vv+0f6r/oP+Vv4k/er9qv1l/Rz80vyI/D779Put+2v7L/r5+sf6mPpq+kD6Gvn3+db5tvmZ+X35YflE+SD49fjF+Jj4cvhX+EH4K/gR9+/3yvel94P3ZfdL9zT3HvcH9uf2uvZ/9j/2BfXa9b31pPWE9Vb1IPTs9MH0ofSD9GH0NvQH89rzsvOL82HzMfL+8s7ypvKI8m/yWPJA8ijyE/ID8fTx4/HO8bLxk/F18VvxRPEr8Qnw4PC28JfwivCM8JHwifBr8DvwBO/V77Tvm++F72zvVe9E7zzvN+8u7xvu/+7g7sTurO6X7n/uYe477g3t2O2f7WjtPO0g7RPtDO0E7PLs2Oy77KHsiux57GzsZ+xp7G7sbuxj7EvsLuwU7APr++v67ALsF+w77Gvsl+yw7LTsrOys7MDs4ez47Ovsr+xL69brZesD6rPqd+pU6lPqd+q26v/rQOt066Tr4uw77K/tM+207iLuc+6i7q7une537kjuG+347dnts+157Sjsy+x47ETsPOxb7I7sw+zt7QrtIO027U3tZu2C7aPty+337h7uOO4+7jfuLe4v7kLuZu6W7snu+u8i7zvvQO807x/vC+8A7wDvBe8M7xTvIO8z70vvZO9775Pvsu/a8AvwP/B18Kzw5/En8WjxpfHc8hDySfKJ8s7zDfNC82/znPPQ9A70UvSZ9OL1LvV89cj2D/ZQ9pD21/cl93b3wvgH+Ev4lPjm+Tj5f/m4+ej6Hvph+qz68vsp+1T7hfvP/Dj8t/07/bT+Hv5+/tz/Of+R/90AGgBLAHcApQDZAREBSQF6AaIBwAHaAfQCFAI9Am4CpgLjAyYDawOwA/EEKgRdBIwEugTqBRoFSQV5Ba8F8AY8BosG0AcCBx4HKgcwBzsHTgdqB4sHrQfLB+QH9Af7B/wH/ggICB4IQAhpCJUIwQjtCR0JUgmLCcMJ9goiCkUKYwqBCqUK0Qr9CxwLHgr6CrYKYwoWCdsJtAmaCYMJbwljCWQJcgmHCZ0JsQnFCdwJ7wn2CecJwAmHCUYJBAjICJMIbAhVCFAIWAhgCF8IVghNCE0IXAhzCIYIjQiHCHsIcAhpCGMIWQhOCEkIVQh2CKYI2Aj9CREJHQksCUoJcQmTCZgJcgkZCI8H1AblBcQEgwNOAmAB6wIBAoUDOAPcBEsEhQSiBLkE0gTjBOAExASYBGgEPQQYA/UD0QOrA4MDVQMgAuUCqwJ4Ak0CIwHxAbQBcgE2AQYA3gC5AJMAbgBPADMAF//0/9D/tv+t/6r/mP9n/xz+0f6b/nX+PP3W/U/85vzp/Xb+Vv8X/0z+1/39/TT82Pz3/Vn9sv3Y/df90/3l/gj+J/4x/ir+IP4e/h/+G/4O/gT+B/4Z/jD+O/43/iz+Kv41/kn+Wv5j/mX+af5z/n3+hP6H/oz+mf6t/sL+zf7P/s7+0/7h/vP/Af8K/xL/Hv8w/0b/Wf9n/3H/ev+D/4v/j/+T/5r/qP+5/8r/1//g/+j/8v/6//7//P/5//wACAAbAC8APgBIAE8AVQBYAFgAVQBUAFsAawB+AIkAigCCAHsAegCAAIYAhwCBAHoAdgB1AHYAdQBzAHQAeQCBAIkAjACJAIQAfwB7AHcAbQBeAEoANQAiABD//v/s/9j/xf+z/6P/k/+E/3T/Y/9T/0P/NP8m/xb/A/7s/tD+tf6b/oT+bv5W/jz+IP4F/e392f3F/bD9mv2B/Wb9S/0v/RT8/Pzn/NL8vPyi/IX8Z/xM/DP8GvwB++f7y/uy+5r7gvtp+077M/sY+v364vrF+qX6hfpn+kn6K/oL+er5y/mv+ZX5evlb+Tf5E/jx+NP4uPib+H34XvhC+Cn4FPf+9+b3zPey95r3gvdr91L3Ovck9xH2//bt9tr2xvaz9qP2lPaJ9oD2evZ29nH2a/Zl9mP2Z/Zx9nv2gvaF9on2lPan9rv2yPbJ9sP2vPa69r32vva49q32o/ae9p72n/aa9o/2gPZy9mT2VPZF9jz2O/ZB9kT2QvZA9lL2i/bw92r31PgP+Br4DvgQ+Df4fvjG+PH47/jJ+Jb4afhN+D74Nvgw+C34Mfg/+Fb4dPiW+Lr44PkG+Sv5Tvlt+Yr5pfnA+dz59/oQ+ij6PvpW+nL6kvqz+tL66/r9+wn7Evsg+zr7YPuQ+7372vvd+8r7rPuR+3/7bftO+x764fqq+ob6ePpy+mb6TPop+gn58/nk+dT5v/mr+aX5svnN+eX56fnV+bH5i/lq+Uv5JPjw+LD4bfgv9/z30veu94/3c/dY9zz3Gfbu9r72jfZg9jr2GfX69dz1wPWm9ZH1g/V99X31fPVz9V31PPUZ9P307PTj9Nj0yPS29K70uPTS9Of03/Ss9FPz7/Oi84DzivOs88zz1fPB85PzV/MV8tfyn/Jx8kvyLPIP8fbx4/HW8dLxz/HJ8bvxpfGO8XvxcfFt8WzxbfFx8XnxhfGQ8ZfxlvGQ8YrxifGP8Z7xrvG48bfxqPGP8XbxZvFl8XPxivGk8b7x1/Hv8gfyHvIy8kbyWvJw8oXymPKq8rzy0vLu8w/zMvNU83bzmPO789/0AvQm9Ez0c/Sa9Lz01/Tu9QX1IfVF9XH1ofXS9gL2LvZU9nX2k/a39uP3FvdI92/3ivec9673xPfb9/H4A/gX+DH4VPh7+J/4vPjV+O/5Cvkk+Tv5Vfl9+b36Efpo+q361vrm+vH7B/sv+2H7lvvL/AX8Tfyn/Q/9e/3j/kX+o/8A/1//vwAfAHsA0gEjAXIBwAINAlYClgLIAu0DEAM9A38D2QREBLEFEwVjBaQF4gYnBngGzgcdB1sHige8CAYIcQj2CXkJ5AovCmsKsQsSC4oMAwxqDLcM8w0rDWINjg2gDZMNcw1XDVMNag2SDboN2g3yDgwOMg5oDqgO7g82D30PxBAJEEkQgxC7EPERJxFcEYwRtxHhEg4SRRKFEscTBxNBE3cTrhPpFCQUWhSHFK0U0xT9FS0VXhWNFbYV3RYHFjkWcRauFukXIhdXF4sXvRfrGBIYNRhUGHQYmhjGGPoZMBlkGY8ZrxnEGc4Z0BnOGcgZwBm6GbYZtBmvGaMZkhl8GWcZUxlBGSkZCBjdGKwYfBhVGDkYKRgjGCUYKRgpGCMYFRgDF/QX7BfqF+oX4hfOF6wXgRdUFy0XDhb2FuIWzxa7FqYWkRZ7FmAWPhYZFfYV3RXRFc0VxhWwFYMVQBTsFI8UMxPeE5kTaBNME0ETPxNCE0oTWBNpE3YTcxNaEzATARLbEsMSshKfEoISYBJJEkwScBKtEvUTMxNdE28TbhNjE1YTSxNDEzwTMxMmExUTARLtEtsSzxLIEsQSvxK3EsISvBK5Er0SyBLWEuIS7RL5EwcTExMYExUTDxMOExcTJBMsEygTHRMaEysTUhN/E5wTnROGE2kTXhNuE5ETtxPME8YTpRN1E0gTLxM2E1sTixOuE68TkxNuE1sTZxOEE5UTfxNDEvUSthKXEpUSnxKkEp8SlxKREosSfhJkEj0SEhHsEdARvBGsEZ8RlhGREYwRhBF3EWYRVBFBESoRDxDvEM8QtRCiEJQQiRCCEIMQjxCkELkQwhCwEHwQKg/HD2oPKQ8ODxIPIw8nDwwOzw52Dg8Now0+DOcMpwyCDHUMcgxtDFsMOwwTC+ULtQuCC08LHwr1Cs4KowpxCjYJ+QnDCZMJaAk7CQoI2AioCHwIUwguCA4H9AffB8UHnwdqBysG7AaxBn0GSgYXBeUFuAWRBWoFPgUMBNoEsQSUBH4EYwQ6BAIDwgOCA0UDDgLbAq8ChgJhAjgCDAHaAagBdgFCAQcAvQBoAA7/uv90/z3/Dv7k/rn+jP5e/iz98/2y/Wr9HfzR/In8RfwG+8n7jftS+xr65/q3+on6XPou+gL53fm/+af5kfl1+VD5Ivjx+MP4nPh++GP4SPgl9/v3yveX92j3Pvca9vr23Pa89pj2bPY69gT10vWn9YX1ZfVB9Rf06PS69JL0cvRW9Dj0FfPv88jzoPN280jzFPLg8q7yhfJj8kjyLfIS8ffx3vHJ8bjxqPGT8XnxW/E/8SvxG/EH8ObwtPB78EzwN/A+8FPwYPBV8DDv/+/R77HvnO+J73LvWe9C7zXvLO8j7xDu8+7Q7rDule5/7mbuRu4a7eLtoe1c7Rzs6OzG7LTsqeyd7Inscuxc7E/sS+xL7EnsRew97DPsJewO6+zrxeuf64Prdutz63nrhOuX67Drzuvp6/rr/Ovw69nruuuT62LrKurs6qzqbOor6evptOmT6ZbpwuoN6mTqs+rw6yDrVuue6/3sZuzK7RztWu2O7b7t7e4Q7h7uFO327c/tpO1y7TDs1+xz7Bjr4evd7AfsTeyX7NTtAO0d7TLtQu1T7Wjthe2p7crt4u3q7eft5O3r7gLuKe5b7pPuzO8B7yrvP+867yPvBO7s7uHu5O7u7vzvD+8l7z/vW+9575nvvO/k8A/wOvBn8Jjw0vES8VPxkPHH8f3yOvJ/8sfzCPM782XzjfO98/r0QPSL9Nn1KPV49cX2C/ZO9pP23/cy94f31vge+Gb4svkE+VT5mfnS+gj6RPqK+tL7Dvs5+137jPvW/ED8v/1D/cD+NP6g/wf/ZP+z//IAJQBTAIIAtADqAR8BUwGDAa0BzgHqAgQCIgJIAnkCtAL1AzoDgAPCA/8ENQRmBJcEyQT8BS0FXAWNBcUGCAZVBqEG4QcOBycHNQdCB1YHcQeRB7IH0AfrCAIIEQgYCBwIIwg1CFQIfAimCMoI6gkKCTMJaQmpCewKKwpiCo8KsgrOCuQK+QsMCxgLEgrvCq4KWQoFCcMJnAmLCYQJggmFCZIJrAnRCfYKEgoiCiUKGgoECeMJugmNCV8JMAj+CM0IoQiCCHcIewiGCI4IkQiTCJoIqAi3CL0ItwinCJgIjwiKCIAIcAheCFsIdgixCQAJSAlzCXsJaQlPCTsJLQkYCOkIjwgABzoGPwUcA+8C4gInAeICGQKrA10D+QRdBI0EogS2BNAE6QTvBNoEsAR8BEsEHwP1A8oDogN8A1gDLgL5ArwCfgJKAiIB/QHPAZMBUgEVAOQAvQCZAHEASwApAAz/7v/J/6L/hv98/37/dP9L/wb+vP6E/lv+Iv2+/Tn80fzS/WD+R/8Q/0j+y/3b/PX8hPyf/Q79e/2x/bT9qf2x/c796/32/fH96v3s/fT99v3t/d/92/3o/f3+DP4M/gP9/v4H/hz+Mf49/kH+Qv5F/kv+T/5S/lb+YP5y/oX+kf6W/pn+oP6v/sP+1P7h/uz++f8K/xz/LP83/0D/Sv9U/1z/YP9g/2L/av93/4f/lf+i/6//u//F/8j/xv/D/8b/0//m//gAAwAJAA4AFgAfACUAJgAkACUALQA7AEgATQBLAEYARABGAEsATQBKAEMAPgA7ADsAPAA9AD8ARABMAFIAVgBVAFIATgBJAEIANwAmABD/+//n/9X/xf+0/6D/i/92/2T/U/9F/zf/Kf8Y/wj++P7o/tf+w/6r/o/+dP5c/kX+MP4Z/gD95v3M/bX9n/2I/XL9Wv1C/Sn9D/zz/Nf8vfym/I/8ePxe/EH8JfwK+/H72fvA+6b7jPt0+1/7Sfsy+xn6//rk+sj6q/qN+m76UPo1+hr5/fnd+bz5m/l9+WL5Rvko+Qb45PjD+KT4hvhl+EP4IvgF9+732/fG9673k/d49173R/cv9xf2/vbo9tT2wvaw9p32i/Z89nL2avZi9lv2U/ZM9kX2P/Y69jf2OPY+9kX2SvZO9lT2YfZ19ov2nPak9qX2pPak9qT2n/aS9oP2ePZ29nv2f/Z+9nX2ZvZV9kD2KvYX9g72EfYb9iD2HfYb9jT2e/bx93n36vgm+DH4Kvg0+GH4o/jc+PH43fiu+Hz4Vvg/+DP4Kfge+Bb4FPgd+Df4YPiV+M75Avkq+Uf5XPlv+YT5m/mz+cz55/oG+ij6Tfpy+pX6s/rM+uH68vsD+xT7Jfs5+1P7dfug+8v76vv0++b7xvuj+4X7bPtO+yP67fq4+pD6evps+lv6PPoX+ff55fnf+dv50Pm/+bP5ufnP+ev5+/ny+dL5pPlz+Ub5F/jj+Kf4afgv+AD32ve595j3dvdS9zD3Dfbp9sH2lfZp9kD2HfX99d71vPWZ9X71b/Vw9Xn1fvV49WP1SPUx9Sb1I/Uf9RP0//Tt9Ov1APUh9Tn1LvT19Jf0MPPf87jzvPPW8+3z7fPT86XzcvND8xry8vLJ8prya/JA8iDyDfII8gnyCfIC8e/x1PG28Zrxg/Fv8WDxVfFS8VfxZPFy8XvxffF58XXxdvF+8Y7xnvGn8aTxk/F78WTxWPFd8W7xhvGg8bnx0/Hx8hLyMvJO8mbyevKO8qHysPK88sfy1vLu8wzzLPNI817zcvOI86fz0PQB9Db0avSZ9MH04vUB9SX1TvV79ab1zvXy9hb2OfZb9nf2kPar9sv28/cc9z73V/ds94T3o/fH9+j4A/gc+Dj4Wvh++J/4ufjO+OX4//ka+Tj5XPmR+dz6N/qQ+tL69fsA+wT7E/sx+1f7ffuk+9H8D/xi/Mj9N/2p/hf+gf7l/0T/nf/zAEkAngD0AUcBlAHaAhgCTgKAArIC6QMqA3cD0QQ0BJcE9QVIBZMF2wYpBoAG2AckB1kHfgemB+oIVQjbCV4JxAoLCkYKkAr3C28L3QwuDF4MfwyhDMoM7Qz8DPQM5AzhDPsNLQ1nDZcNug3WDfgOJw5jDqYO6Q8sD3APtQ/4EDUQbBCeENERCBFAEXYRphHSEf8SMxJvErAS7xMqE2MTnhPbFBcUSxR1FJkUvxTtFSEVVhWEFasV0BX8FjEWbRarFuUXHBdRF4UXuRfoGBAYMxhVGHkYoxjSGQQZNhllGY4ZrRnCGcsZzBnIGcIZvhm8Gb4ZwBm9GbMZnhmCGWQZSRkzGR0ZAxjhGLkYjxhlGEEYJRgSGAgYBRgFGAEX9xfsF+UX5xf0GAMYBxf3F88XlxdbFyoXCRb4Fu8W5xbZFsYWrxaTFnEWRxYVFeQVwBWvFbEVuRW2FZgVWxUAFJYUKhPKE4ATUBM0EyQTGBMNEwcTCBMSExwTHhMREvgS3RLIErsSsBKcEnkSTBIiEgsSEhI0EmwSrBLoExgTOxNPE1UTUBNEEzQTJBMYEw4TAxL1EuMS0xLJEsYSxhLGEtESzRLMEtYS6RMCExkTLBM8E0oTUxNVE1ATSRNIE1ATXBNhE1cTQxMzEzQTSRNkE3cTeRN1E34TnxPXFBEUMhQpE/YTqRNaEyMTEhMoE1cTiROlE6IThRNjE1ATTxNQEzoS/hKmElASGxIUEjASVxJ0EoESgRJ8EnISXxJEEiQSBhHuEdsRxxGwEZkRihGEEYYRhxGDEXoRbBFaEUIRJBECEOMQyhC3EKkQnBCQEIkQjBCWEKIQpxCcEHwQRxADD7wPfw9VDz8PNQ8pDw4O3A6RDi8Nuw1ADM4MdwxHDDwMRAxNDEYMMAwQC+oLvwuNC1QLGgrmCrkKjwpgCigJ6wmxCYAJVQkuCQUI2wiuCH8ITggfB/YH2AfBB6gHgAdEBvsGrwZsBjEF/QXNBaIFgAVlBUoFJQT0BL8EkgRyBFwERQQjA/QDvQOFA00DFwLlArYCjQJpAkQCGgHpAbQBgQFOARkA3ACWAEn///+8/4H/S/8X/uL+r/59/k3+G/3k/ab9Yv0d/Nn8mvxd/CD74/um+237OfsK+tn6pfpu+jn6DPnq+dL5vPmh+X35U/kk+Pb4yfif+Hf4T/gk9/P3u/eA90X3D/bh9rj2kvZu9kn2JPX+9db1rPWC9Vr1M/UN9Ob0vfSV9HD0UfQ49CD0BvPm87/zkvNi8zDy/fLL8pryb/JJ8ijyDPHv8dLxtfGb8YXxcvFd8UXxK/EU8Qbw/vDw8NHwmfBR8BDv6+/s8AbwIfAo8BPv6+/C76Tvku+D72/vU+837yLvFe8L7v3u5e7F7qHufu5b7jjuEe3j7a7tcu0w7O/stuyL7G/sXuxT7EnsQOw87DzsPuw77C/sHOwJ6/3r+Ovy6+DrvuuS62vrV+tc63Trk+ut67/ryOvK68Trret96zHq0upv6hjp1Oml6YHpYek96Rfo9ujj6OnpDelN6Z3p8eo96oDqwesJ61jrpuvl7A7sJ+xE7HTsu+0G7T/tVe1O7T3tMe0r7Rjs5OyL7CDryeul677sBexa7Kbs2ez07P7tAOz/7QPtEO0m7T7tUu1e7WPtbO2B7aPtz+4B7jbube6l7tfu+O8B7vLu2O7A7rTutu7B7tHu4+757xXvN+9d74bvse/e8AvwN/Bj8JPwyvEF8UHxefGv8ejyKPJu8rXy8/Ml80/zfPO08/j0Q/SR9N71KvV29cD2CPZQ9pz27vdG95337vg6+IX40vkf+Wf5pvne+hj6Xfqr+vb7NPtj+437xPwS/Hf86f1f/dL+Rf62/yD/e//E//0ALQBeAJIAyAD6ASkBVgGCAa0B1AH0AhECLwJUAoUCwQMFA00DkwPUBA4EQwR3BKoE3wUSBUQFdAWoBeQGKAZwBrQG6wcVBzQHUQdvB48HrwfMB+QH+wgRCCcIOghICFEIXAhtCIcIqAjICOUJAQkkCVQJkgnZCiEKYwqhCtoLDAsvCz4LOQsmCwsK6Qq8Cn8KNgntCbQJlwmSCZsJqAm3CcwJ6QoOCjMKTApVCkwKNwobCfwJ3Qm/CaAJeglMCRgI5gjCCLIItAi+CMcIygjMCNII2wjgCNwIzwjACLsIwQjMCM0IwAitCKoIygkQCWkJtgnZCcsJlAlKCPgInwgzB6cG9AYbBSYEIQMjAk0BxQGpAf8CpwNqBBAEeASjBK0EtATGBNsE5ATTBKsEegRLBCID+QPKA5gDaANAAx0C9gLEAokCTgIdAfYB0QGiAWYBJQDrAL0AlwBxAEYAG//5/+D/yf+q/4P/X/9K/0P/Ov8e/uv+rf50/kH9/v2b/SX80/zp/YD+af8y/23+8/3+/Qf8ePx0/M39Nf1x/X/9ff2I/aT9v/3G/bz9sf2y/cD9y/3I/br9rv2w/b/9zv3U/dL90f3a/fD+B/4Y/h7+HP4b/hv+G/4c/h/+Jv40/kX+U/5d/mX+cP6A/pT+pv62/sP+0P7e/uz+9/8A/wj/E/8f/yn/K/8p/yf/Kv82/0f/Wv9s/3z/iv+S/5X/kf+N/47/mP+p/7v/x//O/9P/2v/k/+3/8P/w//D/9gACAA8AFwAXABEACwAIAAkACwALAAkABQADAAIAAgAEAAcADAASABcAGwAcABsAGAATAAv////u/9n/w/+u/5v/if94/2X/Uf87/yb/E/8C/vT+5v7X/sj+uP6o/pf+gv5q/lH+OP4g/gv99f3e/cb9r/2X/YD9Zv1M/TH9F/0A/Or81Py7/KD8hfxr/FH8NvwZ+/z73/vG+677l/t/+2b7Tvs3+yP7D/r6+uL6yfqv+pP6dvpX+jj6Gvn++eT5yPmq+Yn5aPlJ+Sv5Dvjw+ND4sPiS+HT4VPgy+A737PfP97j3pPeO93X3Wfc99yT3Dfb19t32xfav9p32i/Z49mT2UfZD9jz2OPY09i/2KPYi9hz2GPYT9hD2D/YS9hn2H/Yl9iv2NfZF9lj2a/Z59oL2iPaK9oj2fvZv9l/2VvZV9lj2WvZY9lL2SvY+9ir2EPX39er17/X89gT2AvYE9iX2e/cA95D3/Pgr+Cb4Ffgb+Eb4g/iz+L/4q/iG+GP4Sfg2+CP4D/f+9/P39vgK+DL4bfi2+P75N/la+Wr5cvl++ZL5q/nE+dv58foO+jP6XvqL+rX62Pr1+wz7H/sv+zz7R/tS+137cPuM+7D70fvg+9b7tPuI+1/7Qvss+xL67Pq/+pT6dvpj+lD6NfoR+e351PnM+c75z/nL+cP5wfnM+eH59fn6+eb5vPmE+Uf5C/jR+Jn4ZPgy+Aj34/fB9573ePdR9y33C/bq9sX2m/Zv9kf2JfYI9ev1yPWi9YH1b/Vw9Xv1g/V/9XH1YfVZ9Vr1WvVQ9Tf1G/UL9RT1NPVb9XD1YfUp9NP0dfQn8/jz6fPr8+/z5vPN86jzgfNd8z3zG/Ly8sDyjPJd8j3yLPIo8iryK/Im8hnyA/Hm8cTxn/F58VfxP/E08TXxQPFN8VXxV/FW8VbxW/Fm8XXxhPGO8Y/xiPF78W/xbPF18YbxmfGq8bjxyvHm8gzyNvJe8oDymvKw8sTy0/Ld8uby8fME8xzzM/NF81DzW/Nx85rz1fQe9Gj0qPTY9Pj1D/Un9Ur1ePWs9dv2AfYc9jP2R/Zc9m72fvaQ9qj2yvbv9xP3MfdO92/3mPfF9+/4D/go+D/4Wfh2+JT4rfjF+N74+fkX+Tf5XvmV+d36MfqB+rv62/rp+vP7B/sn+037cvuW+8D7+fxD/J/9Bv11/en+W/7I/yr/gf/QAB4AbgC/ARABWgGeAdoCFQJUApkC5QM1A4UD0wQiBHQEygUjBXwF1QYvBokG4AcqB2EHige4CAAIaQjjCVYJrQnpCiIKbwrWC0QLnQvOC94L5Av1DBQMNgxNDFgMYwyADLYM+g08DW8NlA22DeAOFw5YDpsO3A8cD14PoQ/iEBsQTBB6EKwQ5BEiEV8RlhHFEfMSJRJfEp0S2xMWE1ATjRPNFAsUQRRtFJEUuBTnFR0VUxWBFacVyxX2FiwWaRamFt8XExdFF3oXrhfeGAgYLhhSGHkYphjWGQgZOBllGYsZpxm4Gb8ZwBm9GbsZuhm8Gb8ZxBnGGcAZsBmWGXcZVxk5GR0ZAhjlGMYYpBh/GFcYMBgOF/cX6hfmF+IX2hfQF8wX0xfnF/4YCRf6F84XjxdQFyEXChcGFwkXAxbvFs4WqBaBFloWLhX6FcUVmBV9FXkVgRWFFXMVQRTuFIgUHhPDE4ETVxM/EywTFxL+EucS2BLTEtISzxLDErISohKaEpoSnBKWEoISYBI4EhMR/BH7EhISPRJ2ErUS8hMkE0YTUhNLEzYTHRMJEvwS9RLrEtwSzRLEEsQSyxLREtES1hLfEvETDxMxE1MTcBOLE6ETrhOvE6UTmBOSE5cToROgE4wTaBNDEywTKRM0E0UTWxN/E7kUCBRYFIsUhhRBE80TShLaEpUShxKmEuETHxNME10TVRNAEycTChLfEpsSQBHgEZcRfBGTEcoSCRI7ElkSZhJlEloSRBIpEhAR/RHxEeYR1hG/EagRlxGOEYsRiBGCEXoRcRFkEVARMhEPEO0Q0xDBELIQoxCUEIgQgxCEEIcQiBCDEHkQZxBLECUP9w/GD5gPbQ9EDxgO4A6WDjQNuQ0wDK8MTQwdDBoMLwxBDEEMLQwQC+8LygucC2ELIQrlCrIKhApSChgJ2QmfCXAJTgkzCRoI/QjZCK0Idgg7CAMH1QeyB5EHYgcgBs4GeQYrBegFrQV6BVIFOAUqBSAFDQTsBMAElQRyBFUEOQQVA+sDvQOPA2QDNwMJAtwCswKNAmYCOQIDAcgBjgFXASMA6wCtAGoAJv/l/6f/bP8x/vb+vP6G/lT+Jv35/cr9lv1c/R/84Pyi/GT8J/vt+7j7h/tX+yT66/qu+nH6PPoT+fP51Pm0+Y/5Z/k8+Q342fii+Gz4OfgJ99n3ovdl9yb26faz9oP2VvYt9gf15vXI9ar1iPVi9Tj1DvTo9MP0oPR99F30QvQt9Br0BPPk87jzg/NM8xjy6fK+8pPyafJA8hrx+fHa8brxmvF98WPxTvE48SDxBfDv8OHw3PDV8Lzwh/A77+3vte+j77Lvzu/f79rvw++m74/vgO9y713vQO8h7wfu+O7y7u/u5O7M7qbudu4/7gft0+2j7XTtRO0O7NTsm+xp7EXsLuwl7CTsKeww7DXsMewk7A/r/Ov57AvsLuxP7FjsPOwD68Prneui69DsEOxF7FzsUuwv6/nrsOtL6srqNuml6S3o2eik6IHoaOhS6EXoQehI6Fjoc+ie6N3pL+mJ6eLqNeqD6s7rEOs/61PrU+tS62jrnevl7CnsVexr7H/soezP7PLs6eys7Ezr8uvE69DsCuxT7JLsuOzH7MbsvOyx7Krsqeyw7LzsxezJ7M3s2uz17R/tUO2C7bLt5e4b7lLufe6U7pbujO6B7oDuiO6U7qLuse7G7uTvC+8572nvmu/K7/vwKvBa8IrwvfDw8STxWPGP8cnyCvJN8o3yxvL58yzzZ/Ou8//0UvSi9O71NvV+9cf2EPZc9qz3AfdZ97D4BPhU+KT48/k8+Xr5rvnf+hr6Zfq8+xP7Xvud+9j8G/xq/MX9JP2G/e3+W/7M/zj/kv/WAAwAPABuAKMA1QECASkBTwF4AaQBzwH2AhkCOwJjApUC0gMXA2EDqAPoBCEEVgSLBMAE9gUpBVoFjQXFBgYGSgaMBscG+gcpB1gHiAe4B+AH/ggSCCEIMAhCCFcIawh5CIMIiQiRCJ4IsQjJCOYJDQlACYMJzwobCmIKogrhCyALWQt/C4MLYQslCt8KnwpnCjEJ/AnLCakJngmqCcQJ4An7ChMKLApFCloKZQpmCl4KUQpDCjMKIQoMCfAJzQmgCWwJPAkXCQYJBAkICQoJBQj9CPkI+Qj5CPMI6gjmCPIJDQkvCUcJSwlCCT8JVgmICcQJ7AnnCawJRwjHCDMHhga2BcAEsQOiAq4B7gFxAUEBZwHdAo8DVAQABHQEqgS5BLwExQTSBNQEwASXBGYEOgQYA/gD0QOeA2YDMgMHAuACtwKDAkoCFAHpAcUBnwFvATUA+ADDAJgAcwBJABj/6P/C/6v/nP+I/2j/Qv8j/xD/A/7x/s/+nv5m/in93/2A/R383/z3/Xn+Qf73/z/+7/4q/Uv8r/x//Kb87P0j/T39Tf1m/Yb9n/2h/Y/9e/13/Yb9mv2j/Zv9jP2D/Yb9j/2X/Zv9nv2q/cD92/3w/fv9+/32/fH97f3q/ez98/4A/hH+Iv4v/jr+Rf5U/mT+dP6D/pD+nv6s/rj+wv7J/tH+2/7m/u/+8v7w/u7+8f78/w7/Iv80/0P/Tv9V/1n/V/9V/1X/Xf9s/33/jf+X/57/pP+q/6//s/+1/7j/wP/M/9n/4v/j/97/1f/N/8n/yv/M/83/zP/L/8r/yv/L/83/0f/W/9v/3//h/9//2//U/8v/v/+w/57/iv91/2H/Tv88/yr/Fv8A/ur+1f7B/q/+n/6Q/oH+c/5k/lP+P/4q/hP9/P3n/dH9u/2k/Y39eP1j/Uv9MP0S/PT82PzB/Kz8lvx+/GT8Sfwt/BH79PvV+7f7nPuE+2/7WvtC+yj7D/r4+uT60fq++qr6k/p7+mD6RPol+gX55vnJ+a75k/l2+Vj5OPkY+Pj42fi5+Jn4evhb+D/4IfgC9+L3wvel94z3dPdb9z/3I/cH9u721va+9qb2kPZ89mz2XPZK9jX2IPYP9gb2AfX+9fr19fXx9e/17fXr9ef15vXo9e/1+PYA9gj2EfYd9i32PvZO9lr2YvZl9mD2V/ZL9kH2PPY79jj2MfYp9iX2JvYm9hv2AvXl9dL10fXe9en17PX49if2jvcg97D4Dfgh+AL33vfd+AX4P/hp+HP4ZfhQ+ED4M/gi+Ar37/fd99z37vgT+En4kvjk+TL5a/mH+Y75j/mZ+bH50Pns+gP6F/ov+k/6dfqe+sb67vsT+zT7Tvth+2z7cftx+3D7dPuC+5z7uvvO+8n7qPt0+0H7HvsM+v/65vq/+pH6avpT+kj6Pvoo+gf55fnO+cf5yvnP+c/5yvnJ+c/53fnp+eT5xvmP+Ur5A/jD+I34YPg1+Av34/e995n3d/dW9zX3E/bv9sb2mfZs9kT2J/YS9fz13/W79Zv1h/WE9Yz1k/WS9Yr1gvV/9X71c/VX9TL1FPUO9SP1R/Vi9WD1PPT99LP0b/Q49BPz/PPv8+Pz0fO085DzaPNA8xny8fLF8pfyafJD8inyG/IY8hzyIvIn8ijyIfIM8erxvPGJ8VrxOfEp8SjxL/E28TfxNPEx8TLxOfFF8VTxZfF28Yfxk/Gb8aDxpvGx8b3xyPHM8czx0fHj8gXyMfJg8onyq/LH8uDy9fMF8xLzH/Mu8z/zTfNV81zza/ON88j0F/Rt9Lz0+PUd9TD1OvVJ9Wf1lvXN9gL2K/ZD9lD2WPZe9mT2afZy9oP2n/bF9u73F/dB9273n/fT9//4IPg1+Eb4WPhv+Ir4pvjE+OP5BPkl+Ub5afmV+c36DvpN+n/6ovq7+tT69Pse+0v7ePul+9X8DfxM/Jb86v1J/bT+Jv6V/vz/WP+q//gARQCTAOABKgFyAbgB/gJIApcC6gM7A4QDxQQCBEYEmAT4BV8FxgYpBocG3QcqB2sHogfdCCgIhgjrCUMJhQm3CfAKQAqjCwMLRAtcC1kLVAtiC4ULsAvVC/QMGAxLDI4M1Q0VDUYNbw2ZDcwOBw5FDoIOvg77DzsPfg+9D/YQJxBWEIkQwxEEEUYRgRG2EecSGhJTEpASzRMHE0ATfBO8E/0UNxRnFI4UtRTjFRkVUBWBFaoV0BX6Fi4WahalFtwXDhc/F3AXoxfUF/8YJxhOGHcYpRjWGQkZOhlmGYkZnxmpGasZqRmoGakZrRmxGbYZvBnBGcEZuhmoGY0ZbRlKGScZBxjrGNMYvBihGH4YVBgoGAMX6hfcF9EXxRe4F68XshfBF9QX3BfLF6AXZxczFxMXCxcRFxQXBhbiFq4WeRZMFicWBRXdFa0VfBVUFTwVMhUrFRkU8RSyFGQUFBPRE6MTiBN3E2UTTBMqEwgS7BLZEswSvhKtEpoSiRJ+EnsSfBJ+EnsScBJaEjsSGxIDEf0SDRIzEmkSqRLqEyMTShNXE0sTLxMPEvUS4hLSEsIStBKtErASvBLJErkSzBLjEwETJhNNE3UTnhPIE+8UChQRFAcT9hPtE+4T8BPkE8ETixNTEyoTGhMhEz4TcBO6FBcUdRS1FLgUbxPjEzUSixIGEbgRoRG5Ee4SMhJ1EqoSzBLVEsMSlBJMEfERkxFFERwRHxFJEYkRyxICEioSQhJLEkYSNRIcEgUR9RHtEecR3hHSEcQRuBGtEaARkBGAEXURcRFtEWARRBEcEPMQ0hC8EK0QoRCZEJUQlxCdEKAQnRCUEIoQfhBvEFYQLw/9D8IPhA9EDwQOwA5xDg4NlA0MDI0MMwwNDBYMNQxMDEsMNQwXC/sL4Au7C4YLRgsFCssKlApbCh0J3QmoCYEJaAlWCUQJLAkOCOUIsAhvCCoH6geyB3wHOwbpBosGLQXZBZMFWAUlBP4E6ATiBOUE5QTZBMMEqQSPBHUEVwQxBAYD2wO0A5IDcQNMAyQC+gLOApwCYgIhAd0BmwFdASIA5gCmAGQAIP/f/6H/Zf8r/vP+u/6F/lP+Jv39/db9q/14/Tz8/Py7/H78R/wV++f7uvuL+1b7G/rb+pz6ZPoz+gf53Pmx+YX5Wfkr+Pn4v/iA+ET4D/fh97b3hPdM9w720vaa9mj2OPYJ9d71uPWa9X/1YvVA9Rr08/TO9K30j/Rx9FX0PPQp9Bbz//Pc86vzcfM28wHy1fKw8ozyZvI88hPx7PHJ8ajxifFu8VfxQ/Es8Q/w7fDO8LrwtPCy8KTwe/A27+TvnO9w72bvc++G75HvkO+G73vvcO9i70zvL+8O7vPu4+7h7uXu5O7S7qrub+4p7ePtpu107UrtIez07MLsjexc7DPsGOwL7AzsF+wk7C/sM+w17DvsUOx87L7tB+0+7UntHuzF7GHsGuwM7DnshOzG7N7swux77BfrnesK6mDpquj/6HfoGufe57Pnkud853vnkOex59Pn8ugX6FLoqOkQ6Xjp0+og6mfqrero6wzrE+sI6wDrEOs562zrnOvG6/TsMOx07KjstOyO7EjsBevk6+/sGexM7HXsjuyc7KPsp+yo7Kjsqeyq7Kjsn+yP7H/seuyI7Kjs0Oz57SLtTu2A7bft6O4L7h3uJe4t7jzuT+5j7nTuhe6d7sDu7e8g71Pvg++y7+LwEvBD8HHwnvDK8PnxLvFo8afx6PIm8l/yk/LI8wTzTfOh8/v0U/Sm9PT1PvWH9dH2HfZr9rv3D/dl97r4EPhn+L75Evla+ZL5vPnl+hv6ZvrD+yX7gfvT/B78aPy1/QX9WP2v/hD+fP7t/1f/rv/wACMAUAB9AKwA2AEAASQBSQFxAZwByQH0Ah0CSAJ2AqwC6wMxA3sDwgQBBDkEbAShBNcFDQVABXMFqgXoBiwGbwatBuQHGQdUB5YH1wgNCDIIRQhPCFgIZQh0CIQIkQiaCJ4IoAihCKYIswjLCPAJJAlnCbUKCApZCqIK5QsmC2ULmAuvC5oLWQr9Cp0KTQoTCeoJygmzCaoJtAnQCfcKHwpCCl8Kcwp+CoAKegpzCnAKcgp1CnEKYwpNCjEKEQnuCccJngl7CWIJVQlNCUUJOAkpCR4JGQkaCR0JIwkwCUwJdwmnCdEJ5wnsCegJ5gnlCdkJrQlRCMUIFQdQBnkFigR7A1MCMAE6AJkAYQCPAQ0BwAKIA0gD5wRUBI8EpwSyBL4EygTLBLUEiQRUBCYEBgPtA84DowNsAzQDAwLZAq4CfQJFAgwB2gGzAZEBawE+AQkA1AClAH0AVgAo//P/vv+R/3T/Y/9T/z3/IP8D/uz+3f7O/rX+jf5W/hX9yv14/Sf86/zi/R/9mf4j/oD+g/4l/ZD9Avyq/JX8sPzc/QX9Kf1N/W79gv2A/Wf9Sf06/UP9W/1z/Xv9dP1o/WD9Yf1m/Wv9cf1+/ZP9r/3I/df92v3T/cn9wP27/bz9xf3U/eb9+P4G/hD+Gv4l/jL+QP5O/lv+af53/oT+jv6V/pv+ov6q/rL+t/65/rv+wP7L/tv+6/74/wL/Cv8R/xf/HP8f/yL/KP8z/0P/VP9i/2v/b/9w/3H/c/94/37/h/+R/5z/pP+o/6f/ov+b/5b/lP+V/5f/mP+X/5X/k/+S/5P/lf+Z/53/oP+h/5//mf+P/4T/d/9p/1v/S/86/yj/Fv8D/vD+3P7H/rH+m/6G/nH+Xf5L/jv+K/4c/gv9+P3k/dD9vf2p/ZX9f/1o/VL9Pf0p/RL8+Pzb/L38ovyJ/HL8Wfw//CP8CPvs+9D7svuT+3b7XftH+zT7H/sG+uz60vq7+qf6l/qG+nP6XvpG+iv6D/nx+dP5tvma+YD5ZflK+Sv5C/jq+Mn4qfiI+Gf4R/gn+Ar38PfW97v3nveC92X3Sfct9w/28vbX9r32pPaM9nT2XfZL9j32L/Yg9gv19vXj9db1zvXI9cL1vPW59bn1u/W79bn1t/W49b71yPXS9dz15/X09gT2FvYl9jD2NvY29jL2KvYi9h/2IPYg9hn2CvX79fb1/fYH9gX18PXQ9bf1sfW89cj10/Xs9i72qPdE99H4G/gU99v3p/ei9834CPgw+Dj4Lvgk+CP4JPga+AT37/fq9/z4IfhR+Ir4zvkb+WX5nfm5+b75vfnF+dr59/oU+iv6QfpY+nP6kPqu+s/69Psc+0P7Yvt3+4b7kfuZ+5/7pPus+7372Pvx+/b73Pum+2f7NPsX+wj69vrR+p36afpG+jr6Pfo++jH6FPn0+d/52vng+eX54fnW+cv5yfnO+c35uvmL+Uf4/Pi5+IT4Wfgx+AX31/eu9433c/db9z/3HPbx9sH2j/Zi9j/2J/YX9gf18fXT9bb1ovWc9aD1pPWj9Z31lvWN9X71YvU59RH0+/UC9R31NfUy9Qn0x/SB9Ev0LPQc9BD0APPr88/zrfOF81XzIvLu8rzyjPJf8jXyEfH28eXx3vHg8erx+/IQ8iLyKPId8f3xzvGY8WfxRfE18TPxNvE28TDxJfEe8R3xJPEx8UHxVvFw8ZDxsfHM8d/x6/H08fzyAfH/8fjx9PH88hXyOvJk8oryrPLK8ufzBPMf8zbzS/Nd82zzdPN484DzmfPM9Bb0bPS99Pz1J/VB9VL1YPV09ZH1ufXo9hb2OvZQ9lr2XfZe9l72X/Zi9mv2gPai9s/3APc092r3n/fS9/v4Gfgu+D74UPho+IT4pPjI+O75F/k9+V35evmY+bv55PoR+j36ZPqK+rP64fsT+0n7f/u1++v8IPxV/I38zf0d/X395/5W/sD/I/9//9QAJABxAL8BEAFkAbgCBgJPApUC2wMhA2QDoQPeBCQEegThBVAFvAYfBnoG0AciB24HtAf5CEEIjwjbCRoJSgl2Ca4J/ApYCqsK3grvCu0K8gsMCzoLbwugC80L/gw3DHcMtQzsDRwNTA2ADbkN9A4rDl8Okw7LDwgPSQ+KD8cQARA4EG8QqRDpESsRaxGmEdsSEBJIEoMSwRL8EzUTbhOqE+YUIBRRFHwUphTVFQwVRxV+Fa0V2BYEFjcWcBaqFuEXExdDF3IXohfQF/sYIxhLGHYYpBjWGQoZPBloGYYZlRmXGZEZjBmLGZEZmRmhGagZrhmzGbUZsBmkGY4ZchlQGSsZCBjsGNgYzBi+GKcYhBhXGCkYBRfpF9QXwBesF5wXlheaF6AXnReJF2UXPBcaFwoXChcPFwkW7xbCFooWVRYsFg4V8xXTFaoVehVNFSYVBxTtFNAUqxR+FEwUHhP9E+sT5hPjE9cTuxOQE18TMBMLEvAS3BLKErgSpBKOEngSZhJdEl4SYxJkElsSRxIxEiISHxIqEkQSbRKmEukTJxNSE1wTSBMiEvoS1xK8EqQSkhKIEokSlRKnEpMSsxLYEwETKhNRE3kTqBPfFBYUQRRWFFcUUBRMFEwURRQoE/ITrhNwE0oTQRNUE4ETxhQdFHcUtRS1FGYTyxMFEjsRkREYEM8QrRCnELsQ6BErEXwRyhICEhQR+xG/EXMRLhEDEPsREhE/EXMRpRHREfYSFBIoEjASKhIbEgkR+hHxEesR5xHlEeIR3hHTEb8RpBGLEXwRehF6EXERVxEsEP0Q1BC4EKgQoxCnELUQyRDaEN8Q0xC3EJEQaBA+EBQP5g+zD3wPQA7/DrkObw4eDcENUwzdDHIMKwwWDC0MUwxrDGcMTAwsDBMMAAvmC7wLhAtECwYKyQqLCk0KFAnoCcwJtwmiCYgJaglLCSoI/gjECHwILQfcB4kHLQbFBlkF9QWlBWkFOwUSBO0E0gTFBMIEwwTBBLsEsgSrBKEEkARyBEwEIwP9A90DwQOkA4IDWQMmAuYCmwJLAfwBsAFpASIA2QCRAEkABf/F/4b/S/8T/uD+sf6D/lT+J/38/dH9o/1r/Sr85fyi/Gn8OfwQ++n7wPuS+1/7Jvrq+rD6efpF+hL53vmp+XT5QfkN+NX4mPha+CD37/fG9573cPc79wL2y/aa9mv2PPYJ9db1p/WB9WH1RPUm9Qb05PTE9Kb0ivRv9FX0O/Qk9Azz8PPM85zzZPMq8vTyx/Kh8n7yWfIy8gjx3/G58ZjxffFo8VfxR/Ev8Qzw4/C78KDwlvCW8JHwePBC7/fvqe9p70PvOe9C71PvYu9p72jvYO9S7z3vIu8E7uju1u7O7s3uyO607onuTO4G7cbtke1n7UDtGOzr7LvsjOxh7DzsH+wP7A7sHuw67F7siey/7QXtXO287hbuVu5p7kPt5O1c7MzsW+wl7C7sYeyS7J7sdewc66TrF+p26cHpBehZ59TneudB5xTm7ObR5tHm8ecm51zniue75//oX+jO6Tbph+nD6f/qSOqa6uDrBesF6vDq4Ork6v7rJutS64Truuvt7BDsFuwA697rxuvG69vr+uwV7CzsRexk7Ivss+zU7Ozs+u0A7Pvs5+zE7J3sfuxx7HfsiOyd7Lbs1+0D7TjtbO2V7bDtw+3W7fDuDe4p7kPuXe597qfu2u8O7z/vbO+Y78bv9vAl8FHwevCj8NLxCvFL8ZDx1PIR8kfyefKu8u3zOfOO8+b0PvSS9OP1MvWA9c72HfZt9r/3Evdn97z4Fvhz+NP5Lfl6+bL52vn/+jD6d/rU+zv7ofv+/FH8nvzp/TX9hf3d/j/+qf8S/3P/wwABADIAXACCAKkA0AD5ASQBTwF5AaEByQHyAiACUgKJAsUDBgNNA5cD3QQbBFIEhgS8BPUFLQVjBZkF1QYXBlsGmgbPBwEHOgeCB9MIHghTCG0Idgh8CIgImQioCLAIsQiwCLEItAi5CMII0gjvCRoJUgmVCeEKMgqFCtkLKQtyC6wLygvAC4gLKwq+CloKEQnkCc0JwgnACcoJ4goGCjIKXQqECqQKtwq7Cq8KnQqQCpEKngqqCqkKlgp5Cl0KSAo4CiMKAwnaCbEJkAl7CW4JZAlaCVMJUglZCWoJhAmlCc4J+wooCkwKYApdCkMKEQnCCU4IrgfgBuoF3wTRA8gCxgHLAOAAIP+s/6AAAQC4AZ4ChQNOA+MEQwR1BIwEmASlBLMEtwSnBH8ESQQXA/ED1gO7A5QDYgMsAvwC1AKtAn8CRwIMAdUBpwGBAV0BNwEOAOIAtwCMAGEANAAF/9L/nv9t/0T/Jf8R/wH+8f7f/s3+vf6t/pf+c/4+/f39uv13/TX88vy4/J38u/0V/ZH99/4U/df9W/zY/IT8dPyZ/NT9Cv0y/U39W/1Y/UH9Hv0B/Pr9Dv0w/U39WP1S/Ub9P/0//UX9T/1c/XD9iP2g/bH9tP2t/aD9lP2P/ZL9nf2s/b79zf3Y/d/95/3x/f/+D/4e/iv+Nv5B/kv+U/5b/mD+Z/5u/nb+fv6F/oz+lP6e/qv+t/7C/sn+z/7V/tz+5f7s/vP++P8A/wv/Gf8n/zH/Nf82/zb/Of9B/0r/Uf9W/1r/Xv9k/2n/a/9r/2n/Z/9m/2f/Z/9l/2H/XP9Y/1X/Vf9X/1n/Wv9a/1f/UP9G/zr/LP8e/xH/Bf75/u3+3v7N/rj+o/6N/nj+ZP5Q/jv+Jf4Q/f397P3a/cj9tP2g/Y39e/1p/VX9QP0p/RP8/vzp/NL8ufyg/Ib8bvxW/Dz8IPwC++X7yvuv+5P7dftX+zv7IvsM+vf64vrJ+rD6mPqC+nD6YPpQ+j76KPoO+fH50/m3+Z35hPlt+VT5O/ke+P/43/i9+J34ffhe+D74Hff999/3xfet95T3ePda9zv3HfcA9uT2yPas9pL2efZg9kf2L/Yc9g32APXy9eH1zfW79a31ovWa9ZH1iPWC9YD1gvWE9YT1hPWF9Yn1j/WY9aL1sfXE9dn17fX89gb2C/YL9gb1/vX39fb1+fX99fj16vXa9dL12PXj9eT10fWw9ZT1i/WU9aL1tPXY9ij2r/dT99z4GPf+97f3gfeD97j3+fgg+Cb4G/gY+CP4MPgx+Cf4Ivgz+Fz4kPjD+PD5H/lZ+Zf5zPns+ff59vn3+gH6Evon+j36Vvpy+o36pfq7+tX6+Psg+0b7ZPt6+5D7rfvP++78AvwN/Bn8MPxP/GT8Wfwm+9f7iPtQ+zP7JPsM+t36nvph+jr6Lvo0+jv6Nfoj+g76A/oE+gn6B/n4+d/5yfm7+bL5oPl6+T749/iy+Hr4TPgh9/L3w/ea9333avdZ90D3Gvbq9rf2ifZj9kf2M/Yk9hT1//Xk9cn1s/Wo9aX1pPWi9Zv1kPV/9WX1QPUY9Pr08fT99Q71C/Tj9Jv0SfQK8+7z8fP+9ALz8vPP85/zaPMv8vXyvfKH8lXyJvH78dTxtvGh8Zfxl/Gh8bbx1fH58hjyJ/Ih8gTx2PGn8XvxXPFN8UrxSvFH8T3xL/El8SPxKvE48UrxYfF/8aPxy/Hs8gTyEfIZ8iDyJfIn8ibyJfIs8j7yWPJ18o/ypvK/8t3zAPMl80vzbvOM86HzqfOr87Pz0fQM9Fv0q/Tq9RL1LfVF9WT1iPWq9cj14fX69hT2LPY99kf2TPZS9ln2X/Zl9mz2e/aV9rz27Pci91f3iPey99P37PgA+Bb4MPhP+HH4lfi9+Of5E/k8+V35dfmH+Zr5svnT+fn6JfpV+on6wPr5+zP7bfum+9v8C/w5/Gr8p/z2/VX9vf4o/pD+8/9Q/6f/9wBFAJgA9QFaAb4CEwJUAocCuALwAzMDfAPLBCIEhATxBV4FxAYdBnAGwgcVB2cHsgf1CDMIcAiqCNsJBQkvCWUJrgoBCkwKfwqaCqoKwQrpCx4LVQuIC7kL7QwkDFwMkQzBDPENJg1iDZ4N2A4ODkEOdQ6qDuEPGw9ZD5wP4RAiEF4QlxDSERMRVxGZEdMSBhI4EnASrxLvEy0TZROZE8sT/BQtFFwUjRTDFP8VPBV2FakV2BYIFjwWdRavFuYXGhdLF3kXphfRF/kYIRhJGHQYpBjXGQsZPRlkGX0ZhhmBGXYZbxlvGXcZghmOGZcZnRmgGZ0ZlRmHGXYZYBlGGScZBRjmGNEYxhi+GLIYmRh0GEkYIBf+F+AXxBepF5MXhBd8F3QXaBdTFzoXIhcTFw8XDhcLFvwW4Ra9FpUWcBZNFioWBRXcFbIVjRVuFVEVNBURFOcUuhSOFGgUTxRFFEwUXRRpFGMUQRQGE7sTbxMuEv8S4xLVEswSvxKlEoESWxJBEjkSQRJOElYSUxJJEj0SMhIpEiQSKxJLEoUSzhMOEzETLxMTEuwSyBKrEpMSfRJsEmUSahJ6EnQSmhLJEvoTJxNOE3QToRPZFBUUSRRtFIIUkBScFJ8UjBRdFBcT0BOfE48TnRPCE/cUPBSFFLoUuhRpE8MS5RIAET8QuhBqEDkQEA/nD8UPvA/bECMQhhDoES4RSRE8ERoQ+RDsEPgRFxE+EWMRgxGeEbgR1BHwEgcSFxIdEhoSEhIIEgER/RH8Ef0R/BHzEeARxRGqEZURihGDEXYRXBE1EQgQ3hDAELEQsBC8ENMQ7BD9EPoQ3hCpEGQQFQ/HD38PQg8QDuUOuQ6GDkkOAw24DWgNEgy7DHEMRgxDDGMMjAykDJwMfAxVDDcMIgwOC+8LxAuQC1gLHArfCqQKcQpNCjQKHAn/CdwJvgmoCZcJfQlLCP8Inwg3B8sHWwbpBnsGHwXfBbYFmgV7BVUFLAUIBOwE2ATHBLoEtQS5BMIExwTCBK4EjwRrBEkEKgQNA+4DxQOLAz8C5gKIAi0B1wGEAS4A2ACFADr/9/+3/3f/Nv76/sb+m/51/k3+IP3v/br9gf1B/Pv8tPxy/Dv8Dvvn+8L7mvtw+0P7FPrj+rH6fvpL+hb54Pmp+XL5OvkC+Mj4jfhU+CH39ffN96T3dPdA9wz23Pax9of2WvYm9e71t/WG9V31O/Ue9QL05fTI9Kv0kPR29Fv0PvQe8/7z3PO585HzYvMt8vbywfKU8m7yS/In8gHx2vGz8ZHxdvFj8VTxRfEv8Q/w6fDC8KXwlfCO8Ibwc/BN8BXv0++S713vPe8z7zfvQu9J70jvQO8z7yLvDu737tzuxO6y7qXulO537knuD+3V7afthe1o7UbtGuzo7Lrslex37F7sSew/7Ejsauyk7PDtT+3B7kXuze9C74jvjO9K7s/uKu1u7LLsD+ue62vraut763rrT+r86o3qEOmG6O3oS+ez5zvm7Oa75pXmceZW5lXmduaw5vHnLOdq57joHOiK6OfpJOlJ6XDpsOoI6mDqm+qo6pPqdOpk6mzqh+qu6tbq+usT6x7rIesl6zbrWuuJ67DrxevJ68zr4ewQ7FLsl+zR7PvtGO0r7TDtJO0G7N7st+yd7JDsjeyP7JjsrezT7QXtOO1i7X7tke2i7bjt0u3u7gzuLu5W7obuu+7w7yDvTe9576jv2fAK8DjwY/CO8L/w+vE/8Ynx0vIU8k3ygvK38vTzOPOE89X0J/R59Mz1HfVu9b32DfZf9rT3C/dj97z4Gfh8+OP5RPmY+dn6CPoy+mT6qPsB+2b7zPwr/ID8zf0Z/Wn9wP4e/n7+3P8z/4D/w//9AC8AWQB9AJ8AxgD1ASsBXwGMAa8B0AH1AiQCXAKZAtgDGwNjA60D9AQ0BG0EpATgBR4FWwWWBdIGEwZXBpgGyQbsBw0HQQeQB+8IRQh+CJcIoAitCMQI3gjtCOwI3wjTCNEI2AjkCPMJCAknCVEJhQnACgMKUQqqCwsLaAuzC94L3AurC1EK4wp5CiYJ9QngCd0J4gnvCgQKJApKCnMKmwrBCuMK+Ar6CukK0Aq/CsMK1groCucKzgqqCowKfwp+CnYKWwoqCfAJvgmhCZgJnAmjCagJrQm6CdUJ/woxCmEKhgqaCpgKfQpECegJYQisB8sGwQWVBFUDEwHmAOAAEf9//y3/If9h/+4AuAGjAowDUQPiBD0EbQSCBIwEkwSaBJwEjgRuBD8ECwPfA7sDmgNyA0IDDgLgArwCnAJ2AkUCDQHWAaYBfgFWAS4BBQDgAL8AnABxAD8ACv/Z/63/g/9U/yL+9v7X/sj+wv65/qv+mP6G/nP+VP4k/eb9p/1u/Tf88fyX/EP8Jfxo/Qj9x/5H/kP9vvz//GT8J/xI/JT82/0E/Rn9Jv0t/ST9Bfzc/ML8yPzs/Rj9NP03/Sr9Hf0a/SP9Mv1D/VX9af17/Yf9iP2A/XT9a/1q/XH9ff2M/Zr9pP2r/a/9tf3A/dH94/30/f/+BP4H/gr+EP4Y/iL+K/41/kD+Sv5V/l7+Z/5x/n3+iv6W/p/+pP6n/qn+rv62/r7+xP7K/tH+2/7m/vD+9v75/v3/BP8Q/xv/If8i/x//Hv8h/yj/MP82/zj/OP83/zX/M/8u/yf/Hv8X/xL/D/8O/w7/Dv8M/wr/Bf79/vL+5f7W/sn+vv61/q3+o/6U/oD+av5U/kH+L/4d/gr99f3f/cr9uP2l/ZD9e/1k/U/9O/0p/RX9Afzr/NX8v/yp/JL8evxj/Ez8N/wf/Ab76fvL+637kvt3+1z7Pvsh+wT66vrS+rv6o/qL+nT6X/pM+jr6KPoW+gL57PnS+bX5mPl9+Wb5Ufk8+SX5C/ju+M74rfiN+G/4Uvg2+Bn3+ffZ97v3n/eG92v3Tfct9w328PbV9rz2o/aI9m32VPY79iL2CvX19eP11fXI9bj1pvWV9Yj1fvV19Wr1XfVR9Uv1SfVL9U/1UvVV9Vf1WfVb9WP1c/WL9af1wPXS9d314/Xl9eP12vXQ9cn1yvXQ9dP1zfXA9bn1u/XC9cD1q/WJ9Wv1YfVp9Xz1k/W/9hb2ofdE98f3+/fc95b3afd597v4Avgq+Cz4IPgi+Db4Tvha+Fz4Z/iL+Mf5B/k4+Vb5bfmM+bf55foH+hf6GfoW+hb6HPoq+j/6W/p6+pb6rPrB+t37Bfsz+1z7efuQ+6z72vwU/Er8a/x2/Hr8jPyw/NX82/ys/Ez72ft7+0v7R/tS+0v7H/rS+n/6QPoj+iP6MPo4+jf6Mfou+i/6LPod+f/52fm2+Zz5hPlk+TP48/iu+G74N/gF99b3qveF92z3W/dK9zD3Cvbb9q/2ivZw9l32TfY+9iv2FPX59dz1wfWr9Zz1kvWL9YP1dvVj9Ur1L/UX9Qn1B/UH9Pv01PSR9EDz+vPT883z2/Pn89/zvPOE80Hy+/K68oHyUfIq8gfx5PHA8Z3xgfFv8Wnxb/GA8aDxy/H68iHyNPIv8hXx7fHC8ZrxffFr8WTxY/Fi8VrxTvFC8T3xQ/FR8WPxePGP8azxy/Hn8fzyCvIU8h7yKPIy8jvyRfJT8mbyevKK8pfyo/K18tLy+PMn81zzk/PE8+bz8/Py8/P0C/RB9In0zPT49Q71H/U99W71pfXR9ej17/Xx9fj2BvYW9iT2LvY79kz2YPZy9oD2j/ah9r725PcR9z73ZfeD95j3qPe599D37/gU+Dv4YviK+LX44fkK+Sr5P/lM+Vj5avmG+a352/oQ+kr6hvrD+wD7PPt1+6n72vwM/Ef8kfzs/VL9uf4a/nL+xP8S/1z/o//tAEQAsAEqAaECAQJBAmkCjwLDAwwDZwPLBDUEowUSBXkF0gYfBmgGtgcIB1gHnAfQB/wIKAhYCIoIuwjrCSMJZwm0Cf4KOgplCogKrQrYCwgLNwtlC5ULygwCDDcMaQyYDMsNAw0+DXoNtg3zDjQOdg6xDuQPEw9HD4cPzxAWEFMQiRDAEQERSxGTEc8R/RImElgSmBLhEyYTXxOME7MT2xQLFEMUgBS/FP0VNxVsFZ0VzhYCFjoWdRauFuUXGBdJF3kXpRfPF/UYHBhFGHMYpRjZGQwZORlaGWwZbxlnGV0ZVhlXGV4ZaRl1GX4ZhRmEGX0ZbxlgGVEZRBk0GR0Y/hjdGMEYrhiiGJYYghhlGEMYIRgCF+MXxBekF4cXbxdcF0oXNxckFxMXCxcMFxAXExcOFwIW8RbfFswWsxaOFloWHBXhFbYVpBWkFaoVpBWKFVwVIxTqFLsUnhSWFKEUthTEFLkUixQ8E9kTdBMdEtwStRKjEp0SlxKFEmQSPRIbEgoSChIQEhQSERILEgUR/RHuEdgRyBHPEfgSPBKEErgSzRLIErgSqhKdEo8SexJmElYSURJbEmoSjRK8EvATIRNME3MTnBPNFAIUNRRjFIsUrxTKFM4UsBRxFCUT6RPQE90UARQvFGIUmRTLFN8UsBQpE1ISWBFzEM0QchBMEDYQEg/TD4UPQQ8jDzsPhA/pEEoQjRCrEKwQpRCnELwQ3xEJES4RShFcEW0RgxGiEcoR8hISEiMSJxIkEh4SGhIXEhQSEBIJEf4R7RHWEbkRnBGBEWgRTxExEQ8Q7BDQEMAQwBDMENwQ5RDeEMIQkRBQEAMPrg9VDwEOug6GDmIOQw4cDegNqQ1oDSkM8QzADJsMjQyaDLwM4QzzDOYMwAyPDGQMRQwuDBoMAAveC7ELeQs5CvgKvgqSCm8KTwovChcKDgoUChoKCQnPCW0I8wh1CAEHmQc6BuYGowZ4Bl8GSgYpBfkFwAWHBVYFLQUJBO0E3gTgBPMFDAUgBSUFGAT8BNgEswSOBGgENwP0A5wDNQLKAmMCAwGkAUMA4QCHADn/9/+5/3X/K/7i/qX+d/5U/jH+Bf3O/Y/9Tf0J/Mb8hvxK/BT75Pu3+437ZftB+yD7APrb+rH6gPpM+hb54vmv+X35SvkW+OD4qvh4+En4Hvfz98T3kfdd9y33Avbb9rL2hfZR9hb12vWg9W31RfUl9Qr07vTQ9LH0lfR69GD0QPQb8/Lzy/Oo84fzYfMx8vnywPKN8mXyRvIo8gjx4/G78ZXxdPFb8UfxOPEo8RbxAPDm8Mvwr/CT8HjwXPBA8CDv+u/N757vc+9S7zzvL+8l7xrvD+8F7v7u9e7l7s/utu6d7ofubu5J7hbt3e2r7Yjtc+1e7T7tEezi7L3sqeyg7Jvsmeyj7MXtBe1e7cfuPe7D71Xv4fBG8GDwIe+V7truCu0z7Frriura6mTqL+om6h7p+Omp6ULo1+hv6APnjucW5q7mZOY45hvmAuXv5e7mCOY55nXmsubz50XnqOgR6Gjonui76NbpBelL6ZTpxunU6cPpp+mU6ZPppOm/6dvp8On76gLqEuo96ovq8OtT65PrpOuQ63jreeue697sI+xd7IjsquzH7N/s6+zq7N3szuzE7L7suuy37Lnsx+zm7RHtQO1o7YLtkO2X7Z3tp+227c/t8u4g7lTujO7C7vTvJO9V74fvvO/x8CXwV/CJ8L7w+vE/8Yvx2PIh8mHymvLQ8wfzQ/OH89H0IPRz9Mf1GPVm9bL2AfZT9qr3BPdf97z4HPiC+Oz5U/mv+fv6Ofpw+qr67/tD+6L8A/xf/LT9BP1V/a3+DP5t/sb/Ef9P/4X/uv/wACUAUwB4AJoAwgD1ATABagGZAbwB3AICAjICbAKqAuoDLQN2A8EECgRMBIkExgUIBUsFjQXNBg4GVwagBtwG/AcEBwsHMAeAB+0IVwihCMgI3Qj4CRwJPAlICTsJHwkHCP4JAwkPCR4JMQlNCXQJownZChsKbQrOCzQLjgvIC9QLsQtjCv0KlAo+CggJ8wn1CgEKEgonCkMKaAqPCrUK2gsACyMLPAtACywLDgr6Cv8LGgs0CzkLHwr0Cs4Kuwq3CrMKmwptCjMKAQnlCeMJ9QoLCh0KKQo5ClYKgwq4CuIK7QrMCn4KBQljCJcHoQaFBU8EDgLOAZsAfv+M/tj+eP50/sf/YQApAQoB7AK6A2ID3gQwBGAEfASLBJIEkQSIBHQEVwQxBAUD2AOtA4EDUgMfAuoCvQKbAn8CYQI5AgYB0gGlAYIBXwE3AQgA2wC3AJ0AgQBXAB//4/+x/4v/a/9D/xD+3f65/qn+pf6e/oz+dP5g/lL+P/4Y/dz9mf1e/Sv87PyS/DL8BfxL/Qz+A/64/sX+H/0c/Dv71Pvs/Ef8mvzH/Nn86/0E/RH8/vzS/Kf8nvy8/O39E/0c/Q78/fz4/QP9Fv0p/Tv9Sf1U/Vr9WP1Q/Uj9Rv1L/Vb9Zf1y/X39g/2G/Yj9jP2W/aX9t/3H/c/90f3O/cz90P3b/en9+P4G/hP+Hv4o/jL+PP5G/lH+Xv5s/nb+ev54/nT+c/54/oH+i/6S/pj+nv6m/q7+tv6+/sb+0P7d/ur+8v7y/u/+6/7r/vD++P7//wT/Bv8F/wH++/7z/uj+3f7U/s3+yf7H/sb+xf7D/sD+vP63/q/+pP6X/oj+fP5z/m3+Zf5Z/kf+M/4e/gz9/P3r/dn9xf2w/Zv9iP10/V/9R/0u/Rf9APzs/Nf8w/yv/Jv8h/xz/F38Rfwt/BX7//vn+877sfuU+3f7XPtB+yX7Cfrs+tH6tvqc+oL6aPpQ+jz6KfoX+gL57fnX+cP5r/mY+X/5ZflL+TX5IfkM+PT42fi7+Jz4ffhf+EP4KPgN9/H30/ez95X3efde90D3H/b99t72xPav9pn2gfZn9kz2NPYc9gX17vXY9cX1tvWo9Zj1hfVz9Wb1XPVU9Uj1OvUr9SD1G/Ub9SD1JvUr9Sz1KvUn9Sj1NPVO9W71jfWk9bH1uvW/9cD1ufWt9aH1nvWk9av1rPWl9Z/1n/Wk9aD1ifVk9UL1NfVA9Vr1ffW09hD2l/cw96j31Pe293n3WPd298D4Cfgu+Cz4IPgn+ET4Zvh7+IP4lPjA+QP5Svl8+ZL5mPmi+bj51/n0+gj6EfoW+hr6Ivow+kj6Z/qG+qD6tPrK+uv7HftX+4n7rPvF++T8FPxS/In8qPyt/Kj8tPzY/QT9FPzn/Hn75vti+xv7Ifte+6H7tvuH+x/6pvpI+hz6Hvo1+kn6UPpO+kr6R/o8+iL59/nE+ZX5bvlM+SP47Pio+GD4Hffk97X3kPdx91r3R/cy9xb28fbJ9qT2ifZ29mr2X/ZS9kL2LvYV9fb10/Ww9ZL1ffVu9WP1VvVG9Tj1L/Ut9TD1LPUX9Of0n/RO9Anz3/PR89Pz0vO/85bzW/MW8s3yh/JI8hjx9/Hk8dbxxfGu8ZXxgfF28XTxfPGQ8bPx5PIa8kbyW/JW8jzyFvHu8cjxqPGR8YbxhfGH8YPxd/Fm8VrxWfFj8XTxhfGV8aTxtfHH8dnx6vH58gjyFvIk8jXySPJf8nbyh/KR8pfyofK08tPy//M283jzwfQG9Df0S/RH9D/0SfRx9Kv04PT/9Qv1GPU49W31pvXL9db1zfXF9cr13vX09gb2FPYj9jz2XPZ+9pr2rva99s/25/cG9yf3RPdY92P3afdx94H3nPe+9+T4Cvgy+F34ifix+ND45Pjx+P75Evkx+Vr5i/nB+fz6O/p7+r36//s/+377vfwA/Ez8pv0I/Wv9w/4L/kb+ef6q/tz/Ev9W/7QALwC/AUwBvgILAjwCaAKlAvgDXwPOBEEEsgUdBX0FzQYSBlkGqQb+B0kHfgebB60HxgfxCCsIagioCOcJLAl5CcYKCgpCCm8Klgq8CuELCAsxC2ILmQvTDA0MQwx4DK8M5w0eDVUNkQ3bDjEOhw7RDwQPKQ9PD4QPxxAMEEgQfBCzEPYRRRGREc0R9hIaEkgSihLYEyMTXROFE6QTyBP7FDsUgxTIFQMVNBVeFYkVuxX2FjYWdBasFt8XDxdBF3IXoBfJF+8YFRg/GHAYphjcGQwZMxlNGVgZVxlOGUUZPxk/GUQZTBlVGV0ZYxlhGVcZRxk2GSkZIBkWGQYY7RjRGLUYnxiLGHUYWxg9GCEYCRfzF9sXvBeYF3IXUBcyFxgXABbrFt4W3RbnFvgXCBcPFw4XBhb6FukWzBadFloWDxXNFakVqhXIFesV/RXxFccVixVIFQwU3RTBFLcUtBSpFIcURxPwE5ATNhLqEqsSeRJTEjkSJhIVEgAR5RHMEbcRqRGcEY0RfxF5EX4RhhGDEXIRXBFXEXMRrhH3EjYSXxJ3EoYSlBKdEpoSiRJxElwSURJWEnkSkhK2EuUTGBNIE3QTnRPGE/IUIBRRFIMUshTQFM4UpBReFBcT7RPuFA8UOxRkFIoUtRTfFO8UvxQ7E24ShBGzESIQ1xC9ELIQmBBgEAwPrQ9fDzgPRA94D7wP9RAUEBoQFxAcEDYQZBCdENMQ+xESER4RLxFPEYERuhHqEgkSFxIeEiQSLBIyEjASKhIkEiASGBIEEd8RrxF/EVoRQREtERUQ+BDdEM4QzxDaEN0QyhCdEF0QGQ/bD6QPbQ8vDukOpg5vDkYOJQ3+DcsNjg1SDSINAQzvDOoM8g0FDSANNg08DSgM/QzFDJEMaQxSDEYMPAwnC/8LwQtxCxoKyAqCCkgKGwoACf8KGQpAClUKOQneCVIIuAgwB80HigdaBzMHEQb1BtoGtwaGBkgGCQXVBa8FkwV7BWcFXAVgBXQFkQWtBbwFuQWlBYMFWQUqBPUEtQRhA/gDfwMEApACJwHCAVwA9QCTAD//+P+2/27/Hv7N/of+VP4v/gv93f2h/Vv9FPzT/Jn8Zfwz/AH7zfua+2v7Rfso+xP6/vrk+r/6j/pY+h/56vm7+ZH5avlB+RX45vi3+Ij4Wfgo9/P3vfeJ91r3L/cF9tr2q/Z39jz1/PW89YH1UvUv9RH09PTS9LD0kfR39F70PvQV8+fzvPOY83nzVvMp8vLyufKJ8mTySPIu8hDx6/HB8Zfxb/FO8TTxJfEe8R7xHvEX8QHw2vCm8HDwQ/Al8BXwCO/179bvrO9/71XvMO8R7vnu6e7i7uHu4O7Z7snutO6d7obuae4/7gjty+2W7XPtXu1M7TLtD+zv7N7s3+zr7PjtCe0n7WDttO4W7nbuz+8s75Lv+PA78Dbv3O9A7ojtzu0U7Errb+qd6f/pruma6ZHpYuj+6HzoAOeg51LnA+an5knl/OXL5bDln+WQ5YnlkuWv5d7mF+Zb5q3nD+d0587oEOg96GHoiui46OPo/+kH6QDo8ujm6N3o2+jf6Ojo8Oj26P7pGele6dLqZery61DrbetU6yrrEusd60breOul68rr6uwN7DLsVOxx7Insnuyy7MTsz+zT7Nbs3+zy7RLtN+1c7Xjtie2O7Yrtg+2D7ZPtte3n7iLuXu6Y7s/vBO8472zvoO/X8BHwTPCH8MPxAfFF8Y/x3fIp8mzypfLY8wnzQfOC8870I/R89NP1JfVy9br2BfZV9qv3A/dc97j4GPh++On5U/m3+g/6Xfqj+un7MvuE+938OvyV/Ov9P/2W/fP+VP6y/wH/Pf9o/47/uv/tACQAVgB+AKAAxgD1AS0BZQGXAcIB7AIaAlACiQLEAwEDRQOQA98EKgRtBKwE7QUzBXgFugX5Bj4GjwbhBx4HMgckBxMHKQd5B/QIcgjQCQcJKQlMCXUJlQmaCYIJWwk5CSoJKgkyCT0JSwliCYIJqgneCiIKeQrdCzsLfguYC4ULTAr9CqcKWgojCggKBwoWCikKPApTCnIKmQrECu4LFQs9C2QLfwuFC3ELUQs7C0ELYQuFC5QLgQtUCyIK/QrrCuEK0Qq1CpAKbQpYClcKagqICqYKwArWCvALEAssCy0K+gqDCcYIzweuBm0FFwO5AmkBOwA//3b+3v55/lH+dP7n/54AgQFtAkgDAAOMA+8EMARZBHUEhwSRBI4EfARfBD0EGwP6A9kDsgODA0wDEQLYAqYCgQJmAk0CLQICAdEBpQGDAWgBSAEdAOkAtgCRAHgAXwA6AAX/yv+Z/3X/V/8y/wL+0P6s/p3+mP6O/nb+V/5D/j3+N/4c/eL9l/1T/R786fye/En8Hvxh/Sb+LP7x/wP+TP0k/Bv7mfup/Aj8YvyS/KX8vPzh/P389vzJ/Jb8f/yU/MP86/z6/PH84vze/Oj8+f0K/Rj9I/0p/Sv9Jv0g/R39IP0s/Tr9Sf1U/V39Y/1m/Wn9bP1y/Xv9iP2T/Zr9nP2b/Zv9oP2r/bz9zf3d/en99P3+/gn+FP4e/if+MP44/j/+Qf4//jv+Ov4//kn+VP5d/mL+Zv5s/nX+f/6K/pT+nv6p/rT+vv7C/sP+wv7B/sP+yP7O/tP+1/7W/tD+x/67/q7+ov6Z/pH+jP6J/oj+hv6E/oD+e/52/nD+aP5d/lD+Q/45/jD+J/4c/g39+v3o/df9x/23/aX9kv19/Wj9VP1A/Sn9Evz5/OH8yfyz/J78ivx3/Gb8VvxF/DD8GPv+++T7y/uy+5j7fftg+0P7J/sL+u/60/q4+p76hPpp+k76M/oc+gj59/nk+c75tfmc+Yf5dfli+U35Nfke+Qj48/je+Mb4qviM+G74Ufg1+Br4APfl98j3qveM92/3Uvc19xX28vbP9rL2m/aJ9nb2X/ZF9iv2FPX/9er10/W+9az1nvWQ9X/1avVV9UT1OPUv9SX1GPUK9P/0+PT29Pj0/fUD9Qf1BPT99Pf0/PUR9TH1VPVu9X31h/WP9ZT1k/WL9YH1fvWD9Yn1ivWE9X71gPWH9YX1bvVE9Rv1CfUX9T71dvW+9iH2o/cs95P3tveX92L3TPdw97z4Avgi+B74Ffgj+Er4d/iU+KD4rvjT+RD5U/mF+Zz5nfma+Z/5rPnA+dX56vn/+hP6J/o/+l36gfqi+rz60Prl+wn7QPt/+7j74Pv6/BX8Ofxm/I38oPyh/Jz8p/zI/PL9A/za/Gz7zPst+sf6wvsa+6H8D/wq++D7T/q1+kn6Ifou+k36Yfpk+mD6YPph+lf6M/n4+bH5cPk9+RD43fib+E/4A/fE95X3c/dZ90L3KvcS9vf21/az9pH2dfZj9ln2U/ZO9kb2OfYl9gn14/W59ZH1cPVY9Uf1N/Up9SH1JPUy9UD1PPUW9M70dvQm8/Pz4fPf89fzt/N/8zny8vKw8nHyNPH88dHxuvG08bfxt/Gx8ajxpPGl8avxtPHF8ebyFvJN8nvyj/KH8mnyQfIa8fbx1/G/8bPxsvG18bHxofGH8XDxZfFq8XvxjPGX8Z3xovGq8bjxzPHg8fLyAfIP8iDyN/JQ8mjyd/J/8ofyl/K18uDzFPNR85rz7PQ79Hf0kPSL9H30f/Sd9Mz09vUM9RL1HPU49WT1jvWk9aH1lfWT9aX1xfXk9fr2B/YX9jT2XPaI9q72x/bW9t/26vb59w33Ifcw9zf3OPc49z/3T/dp94n3rffU+AD4LvhZ+Hr4kPif+K/4xvjp+Rb5SfmB+b/6APpF+oz61fsh+3D7xPwa/HP8y/0g/Wr9o/3L/eX9+f4P/iz+V/6b/wH/iQAoAMYBSwGtAfcCOwKLAuoDVQPEBDIEnQUCBVsFpwXuBjsGlQbxBzsHYQdkB1sHYQeGB8YIEwheCKYI7wk+CY4J2AoUCkMKaAqKCqwK0Qr8Cy4LZwujC+AMHAxaDJcM0Q0EDTQNbQ25DhkOfQ7SDwsPLg9OD3sPtw/5EDYQbhCoEO8RPhGKEcUR8BIVEkcSixLaEyQTWxOAE50TwxP5FD4UiBTMFQAVJRVHFW8VphXqFjMWdRasFtsXCRc6F2wXnBfFF+kYDRg4GGsYoxjZGQcZKRk9GUQZQBk3GS4ZKRkoGSwZMhk4GT4ZQRk9GTIZIRkPGP8Y8hjmGNcYxxi5GK4YoxiRGHMYSxggF/8X6hfdF80XsReJF1kXKxcEFuQWyRaxFqEWnxatFskW6RcAFwQW9BbVFqwWfhZIFgwV0RWiFY0VmBW5FdsV7BXiFb4ViBVJFQkUyxSVFGgUPRQME8oTfRMxEvkS2RLGEq0SfhI9EfkRwBGaEYIRbhFaEUIRKBENEPgQ7xD8ERoROxFMEUURLxEkETgRbhG5EgMSPxJuEpMSsBK/ErwSpxKMEnYSaxJsEqYSsxLIEuoTFxNIE3cToRPIE+4UGRRHFHgUoBSyFKEUbhQrE/MT3hPtFBIUNRRQFGoUkRTCFOMU0hR5E90TIhJwEeURjRFfEUsRPREkEPMQqRBREAQP0g/BD8QPyA/BD68PnQ+bD7UP6hAwEHcQrhDNEN0Q6xEKETsRdRGmEcUR1xHpEgcSKxJIElUSUhJLEkUSPxIsEgMRyhGQEWURTRE9ESYRBxDpENsQ4RDuEOoQwhB3EBoPyA+SD3gPag9UDywO9w7BDpAOZA42Df8NwQ2HDVsNRA1ADUkNVg1jDWsNbA1gDUYNGwznDLYMkQx/DHsMdgxfDCoL1QtrCvkKiwooCdQJlgl7CYkJtwnqCfgJwAk/CJEH6QduBy4HHQcgByAHEgb1BscGiwZDBfwFxQWsBbAFxgXhBfwGFwY0BlIGbQZ8BnwGbgZVBjQGCgXXBZkFSwToBG0D4QNRAssCVgHuAYkBIQC4AFYAAP+0/2f/Fv7E/nv+Qv4X/e79vv1+/Tb87vyx/ID8V/wu/AD7zPuZ+2z7Svsz+yP7E/r9+t76s/p++kT6C/na+bP5k/l2+VT5LfkA+M/4m/hk+Cv38fe694X3VPcj9vL2wfaL9lD2EPXN9Y/1XPU29Rb09fTQ9Kr0i/Rx9Fj0N/QM89rzrPOH82jzRfMZ8uXysfKF8mLyRfIm8gPx3PGy8YrxY/E/8SHxEPEO8RvxLvE58TDxDvDX8JjwX/A38B/wEvAE7+3vy++i73XvSO8e7vzu4+7W7tHu0e7O7sbuue6o7pLucu5E7gvtz+2d7Xzta+1f7VHtP+0z7TXtRO1X7Wftd+2V7czuFu5e7o/upu647tnvCu8t7x7uz+5U7dXtaOz/7H3r0usZ6ofqQeo56jbp++l06MPoHuep51znGubH5mXmCuXJ5aLlheVn5UnlOeVG5XLlt+YL5mXmvucS51/no+fg6BnoS+hz6I/ooeiw6L/oyOjE6K/okOhy6GDoWehV6FPoXuiO6PLpgOoY6pDqzerR6rfqn+qe6rXq2usB6ybrSetv65frwOvp7BPsPOxk7IXsneyq7LDss+y77Mvs5e0J7THtVe1r7XDtau1m7XPtle3K7gnuSe6G7sHu+e8u72Dvku/G8AHwQvCG8MjxCvFN8ZTx3fIj8mDyk/LB8vHzKvNw88P0IPSA9N71NfWC9cr2EvZf9q/3AvdW9674C/hx+N75S/m1+hj6c/rH+xb7ZPu2/A78avzI/SP9ev3R/in+gv7V/xv/UP93/5r/w//0ACsAXgCIAKsAzgD3AScBWwGRAcgCAAI5AnICqQLhAx4DZgO3BAoEVgSaBNsFHwVoBawF6QYjBmcGvQcYB1sHbgdWBzoHSgecCCAIqAkOCUkJagmKCa4JxgnECaYJfQlcCU8JUAlYCWIJbwmACZUJsAnWChEKYwq/Cw4LOQs4CxQK3gqlCnIKSAotCiMKKwo8Ck8KXwpxCo0KtQrkCxMLQAtqC5ILsAu6C6wLkgt/C4cLqAvSC+oL4Qu6C4ULVAsyCx8LFQsNCwIK9QroCuQK8QsPCzoLZAuEC5QLkAtuCxoKfgmOCFIG4gVcA9kCaAEa//7/Kv6p/nf+hf7B/yP/qgBWARwB6QKmA0IDuQQNBEYEawSDBJIElwSQBHoEVwQtBAYD5gPNA7IDjQNbAx8C4QKqAnwCVwI5AhwB+gHUAawBiAFqAU0BKwD9AMcAkQBmAEYALAAN/+T/tf+J/2X/Q/8b/u3+v/6f/pD+if58/mH+Qv4u/i3+MP4c/eX9mP1O/Rj86fyp/Ff8HvxB/OD9yv6M/rD+FP0E/AX7gvuN++n8Q/x0/Ij8ofzG/OP83fyv/Hf8Vvxe/IL8qPy//MX8xfzJ/NH82/zk/Oz89fz8/Pz89/zy/PL8+v0J/Rj9Jf0u/TX9O/1B/Ub9S/1Q/VT9WP1c/WD9Zf1r/XD9d/2B/Y/9n/2v/bz9x/3T/eH97/36/f/+Af4B/gP+Bf4I/gv+Dv4V/h7+Jv4s/i/+Mf43/kL+UP5e/mr+dP58/oT+jP6T/pf+mf6Y/pf+mP6c/qL+pv6m/p/+lP6I/nz+cv5p/mD+WP5R/k7+TP5K/kX+P/45/jP+Lf4l/hz+EP4E/fj97P3f/c/9vv2t/Zz9jf19/Wz9Wf1F/TH9HP0I/PL83PzF/K78mPyB/Gz8V/xE/DT8JPwS+/375fvL+7H7mPuA+2j7Tfsx+xX6+Prc+r/6o/qI+m76VPo4+h36Afnq+db5xPmw+Zn5f/lm+VH5Pvkr+Rf4//jo+NP4wPit+JX4evhc+D/4JfgL9/L32fe+96P3h/dq9033L/cQ9u32yfam9on2c/Zi9lD2OvYg9gf18fXd9cn1tPWf9Y71gfV09WP1TfU19SL1E/UI9P308vTn9OD02/TX9NX01vTb9OL04/Td9NP0z/Tb9Pb1GPUz9UT1TPVT9Vv1YfVj9WP1ZfVr9W/1bPVj9Vz1YPVq9Wz1VvUp9Pn04fTw9SP1bvXJ9jX2sfcr94H3mvd89073QPdo97L39/gY+Bj4Ffgq+Fr4kPi2+Mb40Pjn+RL5Rvlx+Yj5jfmH+YH5gPmJ+Z35u/nf+gL6I/pE+mv6l/rD+uf7Avsa+zr7Z/uc+8378fwI/Bn8LPxD/Fn8aPxz/ID8lvy3/Nn85/zL/HT75/tD+r76jfrL+1/8B/xw/GP75vsy+pT6Pfoy+k/6a/p1+nT6fPqQ+qD6kvpZ+f35mflE+QP4zPiN+EH38fep93P3Tvcx9xb2/Pbj9s32tPaW9nT2U/Y89jL2MfYy9jD2KPYa9gP15PW+9ZX1bvVQ9Tf1IvUP9QL1AvUQ9SD1HvT69LT0YPQc8/fz7/Pr89HzlvNE8vHyq/Jz8kHyCvHU8arxl/GZ8afxtPG88cLxy/HX8ePx7vH98hvySvKB8qzyu/Kq8oPyVvIv8hHx+/Hs8ePx4vHh8djxwfGh8YPxdfF68Y3xoPGp8ajxofGd8aTxtPHI8dvx6PHz8gHyF/Iv8kXyU/Jc8mryh/K18u7zLPNv87j0CvRY9JH0p/Sh9JP0l/S19OP1CPUZ9Rv1IfU29Vb1cPV69XT1cPV99Z31xfXl9fj2BvYa9jv2Z/aU9rn20vbg9ub26Pbs9vP2/vcJ9xD3EPcP9xH3G/cu90n3aveS98D38/gj+Er4ZPh2+If4ofjG+Pf5Mfly+bn6AvpK+pD61fsf+3D7yPwh/HL8uPzv/Rn9OP1L/Vb9X/1r/YH9rP3z/l3+5v+DACEArwEmAY4B9AJeAs4DPQOoBA4EcQTPBSMFbgW5BhAGdQbYByAHOgcrBw4HBgcmB2kHvAgNCFgIowjyCUUJkAnOCf0KIwpHCm4KmQrJCv4LNgtxC60L7QwwDHUMtAzqDRcNSA2KDd8OPQ6TDtMO/w8mD1YPkw/XEBkQWRCbEOQRMBF3EbER4RIREksSkhLdEyATVBN7E54TyBP/FEEUhRTAFO0VDhUuFVkVlhXhFi4WchaoFtYXBBc2F2oXmRe/F+AYAxguGGIYmBjLGPUZFBknGS4ZKhkhGRcZERkRGRcZHhklGSkZJxkfGRAY/hjrGNcYwhiuGJwYkxiWGKIYrBilGIUYUBgXF+kXzxfEF7oXohd4F0EXChbeFr4WpxaSFoEWexaHFqYWzBblFuAWthZyFicV6BW7FZ0ViBV7FXgVfxWKFY4VgxVmFT0VCxTTFJMUTRQGE8ITfhM1EuYSnBJvEnISoBLcEv4S6BKdEjcR2RGUEWkRShEqEQcQ5RDNEMoQ4hEVEVQRiBGcEYoRYxFGEU4RfxHOEiISbBKoEtUS8xL7Eu4S0hK0EqESmxKeEuES6RL0EwkTKhNSE30TphPNE/QUHBRGFGoUgBR8FFwUJhPvE8kTwhPSE+wUARQSFCkUTxSBFKcUqRR2FBETixL+EnsSEhHMEawRqxG3EbYRlxFaEQ4QxhCLEFsQLg/8D8kPoA+MD5UPvA/3EDoQcxCZEK4QvRDXEQARMBFYEXERhRGkEdYSFRJMEmoSbhJmEl4SWBJIEiUR8RG8EZURfhFsEU8RKBEDEPEQ9xEFEQEQ1RCBEBwPxg+UD4UPig+LD3sPWA8qDvkOyA6XDmIOKQ3yDccNrg2oDasNrw2rDZ0Nhg1qDUkNIwz4DNAMtAyoDKUMmQxxDCILsgsxCq8KNQnFCWAJEAjlCOcJCgkrCSII0whGB54HDQa3BqEGtQbSBuAG0waqBmkGFgW9BW8FQQU9BWQFpwX6BlIGqwb/B0MHawdxB1sHNQcMBuUGvgaQBlYGCQWjBR8EggPZAzcCqgI2Ac8BZwD5AIoAIv/G/3L/H/7M/nz+OP4B/dL9of1n/Sb85vyv/IT8Yfw8/BH74fuz+437cPta+0b7Mfsc+wT65fq7+oT6RfoK+dz5uvmh+Yf5Zfk8+Q342vik+Gn4K/fs9673cfc29v72x/aP9lT2FPXT9Zj1Z/VB9R/0+fTR9Kz0jfR19Fr0M/QB88vzm/N381rzOfMP8t3yrPKB8lvyNvIN8eLxuPGU8XPxUvEw8Q/w+PDy8P7xF/Ey8UHxPvEl8PzwyvCW8GbwO/AV7/Tv1u+475bvcO9G7xzu9u7Z7sXuvO667rzuu+6y7p7ufO5Q7iHt9u3Y7cntw+2+7bTtpu2b7ZvtpO2t7a7tq+2y7cvt8O4J7gLt3O2x7Z3tqe267aztb+0Z7NHsreyc7HTsHeuq607rNOtP62jrPuq86gbpWOjZ6IToOOfY52Lm7eaN5kLl/eW05W/lSOVW5Z/mEeaM5vTnOOde53fnlOfD5/7oOuho6IjooujD6OzpDukU6PfowuiP6G/oY+ha6EXoJugV6Cvodujn6V7pvun46hPqIeov6kjqauqR6rrq4+sL6zLrVut5657rxOvr7A7sLOxB7E7sVexZ7GDsdeyd7NbtFO1J7WjtdO167Yntq+3e7hfuUe6K7sPu/O8072fvlu/H7//wP/CD8MfxCPFK8Yzxz/IL8kDybvKd8tTzFvNk87z0HPSA9OD1OvWJ9dD2FvZf9qz2/PdN96L3/vhk+NL5RPm1+iH6hfri+zj7ivve/Dj8mfz+/V/9uP4H/lD+lf7X/xL/Rv9y/5v/xv/2ACkAXQCMALUA2gEBASwBXwGZAdcCFwJTAosCvwL4AzoDigPjBDkEhwTMBREFXAWrBfIGLQZhBqIG+AdXB54HtAedB4EHkQfkCGkI7wlRCYUJnwm3CdAJ3QnSCbEJiwlzCW8JdgmACYsJlgmiCa0JuAnKCfIKNAqCCsQK4grZCrgKlAp2CmEKUApCCj8KSApbCm4KfAqKCqAKxQr1CycLVgt/C6QLwgvUC9ULzQvIC9UL9QwcDDUMNQwbC/ELwwucC4ALcgtwC3ULegt6C3kLggucC8YL7wwEC/ILrQssCmUJTQfkBkEEiALlAXcASv9i/sL+cf51/sX/Tv/1AKUBVAH9ApsDJwOaA/MENQRnBIwEowSuBKwEngSGBGMEOQQMA+MDxAOoA4oDYgMvAvcCvwKNAl4CMwILAecBxwGqAY0BbQFKASQA+wDOAJwAaAA3AA7/7f/S/7f/lv9y/0v/Jf79/tT+rP6N/nr+bv5g/kr+MP4e/hv+G/4K/dr9kv1L/RT85/yo/E/7+/vr/Ez9BP21/fT9kPy9++v7efuD+9b8Lfxi/Hz8lPy0/Mn8vvyR/Ff8Lfwj/DP8Tvxr/IX8nfyw/Ln8uvy5/L78yPzR/NP8zfzI/Mr81vzm/Pb9Af0H/Qr9Dv0T/Rv9Jf0t/TD9Lv0p/Sj9Lf03/UL9S/1T/V39bP19/Yz9mf2m/bX9xf3S/dj91v3R/dD91P3c/eX97f3z/ff9+v37/fz9/v4F/hH+Iv40/kP+T/5X/lz+Yv5n/mr+av5n/mP+Yf5j/mj+bf5u/mn+X/5V/k7+R/4//jT+Jv4a/hH+Df4L/gf+Af36/fX98f3t/eb93P3Q/cL9tP2k/ZL9gP1t/Vz9TP09/S39Hf0L/Pn85/zT/MD8rPyY/IL8bPxU/D38J/wR+/z75/vR+7r7o/uL+3X7YftO+zj7IPsF+un6zfqy+pf6e/pe+kH6JfoJ+e350vm4+aH5jPl3+WD5SPkw+Rr5Bvjy+Nz4xPit+Jn4iPh2+GD4Rvgp+A739ffe98n3sveb94P3avdP9zL3E/by9s72qPaF9mj2UfY+9ir2E/X59eD1y/W59ab1kvV+9W31X/VR9T/1KfUS9P/07/Ti9NX0yPS/9Lz0uvS49LP0sPS09L30xfTD9Lj0r/Sx9MX04fT79Qr1EPUV9R31J/Ux9Tn1QvVM9VP1UfVI9UH1Q/VO9VH1PvUS9N/0wvTN9QH1U/W29ib2n/cQ91/3ePdi9z/3OPdi96339Pgd+Cf4LPhF+HX4rfjZ+PD4+vkG+Rz5OflW+Wr5dPlz+Wv5Yvli+XH5kfm7+eb6Dvo2+mX6nfrY+w37NvtT+237iPum+8L71/vk++379fwA/BD8KPxJ/HH8mvy+/Nn85/ze/K78TPu8+yX6vvq6+yH7xfxQ/Hj8JPt8+s76Xfo8+lD6bPp1+nT6gfqn+tX65/q9+ln52Plg+Qf4xfiI+D736feV91H3Hfb19tH2svab9oz2f/Zq9k32LfYW9g32DvYR9gz2AfX09ef11vW99Zr1dfVT9Tj1IPUG9O303fTa9OL04/TM9Jv0XPQo9Az0A/P1883zg/Mo8tLyjvJb8ivx9vHA8ZnxjPGY8a7xwfHN8dbx4fHw8f/yDPIe8j/ycfKp8tPy2/K/8ovyVvIv8hnyEPIN8gzyCfIA8e/x0/G08ZzxlPGe8bLxw/HH8bvxp/GW8ZDxmPGn8bbxv/HI8dXx6vID8hnyKPI28k7yePK08vnzQPOJ89f0J/Ru9Jn0oPSP9IH0jfS29On1D/Ud9Rv1HfUs9UP1VvVe9WH1bvWL9bL11fXs9fr2CvYn9k72efae9rn2zfbc9ub26vbp9uf26Pbs9vH28/by9vT2/vcR9yz3Tvd296f33fgT+D/4X/h0+If4pPjO+Qj5T/mh+ff6SvqR+sn69vsi+1b7lPvU/A78Ovxc/Hn8lvyz/M785fz7/Rr9SP2O/e3+Yv7n/3H/+QB9AQEBiAIRApUDDwN7A98EPASUBOUFMgWCBd8GRwapBuoG/AblBsQGvAbdByEHcgfACAYITQiaCOwJOQl5CawJ1goACiwKXAqPCsYK/ws7C3cLtwv7DEQMiwzJDPwNKg1dDZ0N6A40DngOsg7oDyIPYw+qD/MQPRCHENERGRFaEZMRyhIDEkQSihLOEwwTQRNyE6ET1BQKFEQUfBSuFNkU/BUhFVEVkBXaFiQWZRaaFsoW+hcvF2IXjxe0F9UX+hgmGFkYixi4GNwY+BkLGRQZEhkJGP4Y+Bj5GQEZDBkTGRQZDRj/GO4Y3RjMGLkYpBiNGHkYcRh5GI0YnxifGIIYSxgMF9cXuBerF6EXiRddFyQW6hbAFqkWoBabFpUWkRaZFrAWyhbSFrMWahYHFakVahVTFVkVahV6FYEVfxVxFVMVJBTqFKsUbBQtE+cTnBNQEwwSzxKVElsSLhImElcSuxMwE4MTkxNeEwESoxJXEh4R7BG3EYIRWhFMEWMRnRHrEjYSYhJbEiQR2BGcEYwRsBH3EkgSkxLPEv0TGRMhExIS9xLcEs4SzxLYEwcTERMaEyYTOBNTE3QTmRPBE+oUExQ3FE4UTxQ6FBIT5BO9E6kTphOuE7oTyBPbE/QUExQtFDYUJhP6E7YTXxL5Eo0SKxHlEcsR2xIAEh8SIRIFEdQRnxFsETgQ/RC6EHUQOBAKD/EP7hADECkQVhB7EJQQpBC1ENEQ9BEVES4RRhFqEaAR4RIbEj4SSRJJEkoSUBJPEj8SHhH4EdkRxBGvEY8RYxE3ERsRExEWEQwQ5RCiEFAQBQ/RD7cPrQ+oD5wPhQ9jDzsPEA7lDrsOkQ5pDkYOLQ4dDhQOCA3zDdINqQ1/DVUNKQz9DNQMuAysDKQMjQxTC/ELcgrtCnEJ/wmTCSkIygiHCGkIaAhmCEYH9weDBwkGrgaGBowGqwbHBtAGvQaQBkwF9QWWBUAFBgT3BRQFVgW3Bi8GvAdOB9EIKghMCD0IEQffB7IHjAdkBzMG8AaTBhEFZwSfA9MDHQKKAhUBrAE/AMsAV//t/4z/Mf7U/nb+IP3a/aT9eP1M/R387fzC/J/8gPxe/DT8B/ve+7z7ofuI+2z7T/s3+yX7FPr2+sX6gvo6+fz5z/mw+Zb5ePlW+S/5BPjV+J74YPgb99T3jPdI9wf2yfaM9k72EPXU9aH1d/VS9Sz1AvTY9LX0m/SF9Gb0OPP887/zjfNr81DzMvML8tzyrPJ98lDyIPHv8cDxmPF58V/xQ/Ei8P3w3fDJ8Mjw2vD68SDxQvFX8VjxP/EM8MfwffA78Anv5+/O77Pvk+9r7z7vEO7l7sHurO6n7q/uuu687rDumO587mjuX+5h7mbuZe5W7jbuDO3j7cftue2z7antme2J7X/te+1r7ULtAuzC7KDsouyy7Kvse+w16/7r8ewB7Ajr6eux64vrnOvg7CfsOewB65brJerN6obqNOnC6TbopOgc55vnF+aP5hrl4OX+5nbnI+fP6Ejod+hn6DvoG+gd6D/obuiT6Kvowujn6RrpSeld6UvpI+j/6PXpAOkH6O3oqehO6ADn3uf36ELop+kP6Wnprung6gTqJOpD6mjqkOq66t/q/usW6yzrROti64frr+vY6/zsFewj7C/sRexv7LDs/+1J7YHtpO267dLt8u4b7kXubu6Z7srvA+8973Pvo+/R8ATwPPB58LXw8fEu8WzxqvHj8hfyS/KG8szzHfNz8830KfSH9OX1PfWJ9c32DfZT9qD28/dH9533+fhf+M75Q/m4+ir6lvr5+1T7qvwC/GL8yv03/Z399P44/m7+nP7K/vz/MP9j/5P/wf/uAB8AUwCJALsA6QEUAUIBdwGzAfICLwJmApoCzgMLA1YDrQQKBGIEsQT6BUYFmgXyBkEGgQa6Bv0HUweyB/kIDgf2B9gH5gg2CLUJNgmTCcUJ3wn0CgQKBAnqCcAJnAmLCY0JlgmZCZkJnAmlCbAJuQnECeAKEQpRCocKoAqaCoIKawpdClUKTApDCkMKUQpsCoYKmQqmCrcK1gsDCzYLZAuLC60LywvlC/YMAgwNDCEMPgxcDG8McQxhDEgMKgwLC+4L2QvRC9oL7QwBDA0MFAwZDB8MGAvwC5MK8goJCNgHYwW3A/UCSADf/9b/Mf7i/tn/DP93ABIAzAGNAkAC2wNcA8MEEwRPBHkEmQSyBMMExwS/BKwEkgR1BFQELgQDA9kDsQOLA2QDNwMFAtICoQJyAkICEAHgAbgBmwGFAW0BTAEfAO4AwACYAHAAQgAQ/9//uP+d/4j/b/9M/yP++/7Z/rv+nP59/mL+T/5C/jX+JP4S/gb9/v3s/cb9iv1I/Q/83fyd/EP75fu2++X8a/0C/Uz9E/x2+8v7avtw+7v8EPxN/HH8jPym/LX8qfyC/E38HvwB+/j8APwa/ET8cPyR/J78mvyT/Jf8ovyt/K78pvyg/KT8s/zF/NX83vzi/OP84fzi/On89f0D/Qr9Bvz8/PT89/0E/RP9Hv0l/S79Pf1Q/WL9b/15/YX9lP2i/av9rf2p/af9q/20/b79xf3I/cj9x/3H/cr9z/3X/eP98v4D/hT+Iv4t/jT+OP46/jn+N/4x/iv+Jv4m/in+Lv4w/iz+Jf4e/hv+GP4S/gb99P3i/dT9y/3G/cH9vP24/bX9s/2x/av9o/2X/Yn9ev1q/Vj9RP0w/R39DPz9/O/84fzT/MT8tPyk/JP8gfxt/Fb8Pfwi/An78PvX+777pPuL+3L7XPtK+zr7LPsd+wv69PrZ+r36ovqJ+nH6Vfo3+hj5+fnd+cL5p/mL+XD5Vvk9+Sb5D/j4+OT40Pi9+Kf4kfh6+Gf4VvhE+C74FPf59+D3y/e396P3j/d592T3Tfc09xj2+fbX9rX2kvZx9lP2OvYj9gv18PXU9br1pfWT9YP1c/Vh9VD1QPUu9Rr1BPTv9N30z/TB9LH0ovSY9Jb0l/SX9JL0jfSP9Jj0o/Sn9KD0lvST9J70s/TI9NP01/Ta9OD06vT19P71CfUY9SX1LPUr9SX1JfUr9S31HvT49Mn0qPSp9NL1HPV99e/2afbc9zD3VPdN9zn3O/dm96739/go+D/4TPhj+Ir4uPjh+P35C/kT+Rv5Jfkz+UT5VPlc+Vr5UflL+VT5b/mY+cb58/oi+ln6m/rg+x/7Tvtv+4P7kPuY+577ovum+6v7s/u++9P79vwo/GL8l/y+/Nj86vzy/OL8pfwv+5f7D/rT+v77ePv5/DT8A/t8+uH6cfpI+lD6X/pc+k/6VfqB+sT68vri+on6Afl6+RH4yviO+Ef37veP9zj28va49ob2XvZE9jn2NfYt9hv2BPXz9e/18fXv9eT11PXI9cT1wvW29Z31evVZ9UD1LPUS9PD0zPS09Kz0rPSi9Ib0XfQ39CD0E/P/89DzgvMm8s7yifJS8iDx7PG88Z/xnfGx8cvx3fHj8eXx6vH28gXyFfIt8lPyi/LG8vHy9/LV8pvyX/I08iHyIPIn8izyKPIY8f/x4fHI8bvxvPHJ8djx4PHZ8cLxpPGJ8XrxevGC8YvxkfGX8aPxufHW8fDyBvIb8jvybPKu8vnzRvOZ8/H0SPSL9Kf0mvR59Gb0efSu9On1EfUb9RX1E/Uf9TL1Q/VO9V/1fPWm9c315vXw9fj2DfYz9mD2hvae9qz2u/bO9uH26/bq9uL22/bZ9tz23/bh9uX28/cK9yr3T/d696v34PgW+EX4afiD+J34wfj0+Tn5jfns+kv6nvrZ+vf6/vr7+wD7FPsy+1P7dfuY+8X7/vw8/Hn8rPzW/QD9MP1q/bD+Av5f/sv/Rf/OAGUBBAGkAjwCwwM6A6IEAARYBKoE+wVRBbAGFAZtBqUGsQaeBocGigazBvcHQgeGB8MIAQhJCJgI5QkoCV8Jjgm7CekKGApLCoQKwwsGC0gLiAvJDA8MWgyjDOMNGA1IDXkNsw30DjcOeQ65DvkPOw+CD8wQGhBqELcQ/xE/EXkRshHuEi4SbhKsEugTJRNjE6ET3BQSFEQUcxShFMwU9RUgFVIVjxXTFhYWUxaIFrkW7BchF1MXgBemF8wX9xgpGFoYhhiqGMYY3RjvGPkY+BjvGOQY3RjfGOcY8Rj4GPYY6xjbGMsYvBixGKgYnBiMGHwYcRhvGHUYehhzGFgYKxf3F8kXqBeUF4IXZRc5FwIWzhasFqQWrxbAFssW0BbTFtgW2hbFFowWMBXGFW8VQRVAFVoVehWRFZoVlBV+FVEVDhS7FGUUFBPIE3sTLBLjEqoShhJxEmQSYxJ9EsITLxOqFAwUOhQyFAoT2ROsE30TRBMBEsESlBKLEqgS4hMkE1UTXBMtEtESZRIPEecR8hIeElUSiRK3EuETAhMWExgTChL4EuwS7hL5ExETHhMnEyoTLRM3E0wTbBOUE78T6BQIFBYUDxP1E9MTthOjE5sTlhOTE5UTohO8E9cT4hPRE6UTbBM0EwESzBKLEj8R+hHSEdUR/RIxElgSYxJWEkASLRIbEgIR2hGhEV4RGRDWEJkQaRBOEEwQYBB8EJMQoBCnELIQyBDkEQIRHhE9EWARhhGoEcER0hHkEf0SHRI3EkISOhInEhQSAxHxEdYRrxGBEVcRNxEfEQcQ6RDCEJIQXxArD/sP0w+zD50Pig9yD1MPLg8LDu4O2A7GDrQOoA6MDnYOXQ48DhEN3w2nDWsNKwzoDKsMgAxqDF8MRwwOC7ELPgrKCmIKAgmhCTgI0Ah5CD0IFwf1B8YHhQc7BvsG1AbLBtgG7Qb9BwAG8wbXBqcGYQYIBagFVAUbBQcFGAVSBbkGTQcEB8AIXwjECOoI4gjDCKAIfghZCCwH8QedBx4GawWIBJEDqgLvAmIB8wGJARcAnAAk/7P/SP7e/nL+Df25/Xv9UP0v/RH88vzV/Lz8pPyG/GH8NvwO++370fu0+5H7bftQ+z77Mfsa+u36qPpY+g350fmm+YT5ZflH+Sr5Cvjm+Lf4ffg69/L3qPde9xb2zvaJ9kb2CfXV9ar1hvVi9Tn1DfTj9MP0rvSa9Hn0RPQB87/zifNm80vzMPMM8t/yrvJ78kfyEvHf8bHxi/Fs8U/xMPEO8Ojww/Ck8JHwj/Ch8Mbw9/Ep8UrxTfEu8PLwqvBo8DbwEe/x783vo+9571DvKe8A7tjuue6q7q3uuO6/7r7uue677s3u6u8H7xXvCe7f7pvuSe347b3toO2b7Z3tl+2D7WbtR+0j7PPsuOyC7GbsbOyC7Insa+wy6/fr1OvF67Trj+tf60jraOu97CXsdeyZ7Jzsk+yI7G/sM+vL60LqqeoL6WDopefk50Lm7ucF54PoPOjz6XHpm+l66Tbo+ejc6N3o5+jm6NXox+jO6O/pHelC6VHpVelk6YzpxOnv6ezpqOku6JvoGefL58ToAOht6OvpX+m16erqBeoW6irqSupx6pfqs+rD6svq1+ry6yLrY+uq6+zsH+w/7FXsa+yQ7MjtEO1a7Zvtze307hjuPO5d7nnuku6t7tTvCO9A73fvp+/T8AHwMvBm8Jjwy/ED8T/xf/G98fryPPKH8t/zO/OW8+30QvSb9PT1SPWQ9c32CPZK9pn28PdK96P4APhj+NH5Rfm7+i/6n/sI+2r7yPwm/Iz8+v1r/dL+Jf5g/of+pv7I/vT/Kf9g/5P/wf/tABsATwCIAMEA9gEqAV8BmQHXAhMCSQJ7AqwC5AMnA3YDzwQrBIQE1gUlBXcF0QYvBoYG0QcWB2MHvwgdCGAIcQhTCC8IMwh5CPAJbQnNCgcKKQpBCksKPQoUCeAJugmuCbQJtgmoCZAJggmJCaAJvAnWCfQKGwpICm0KegpvClcKQwo4CjUKMgoyCjwKVgp8CqEKuwrICtUK7QsVC0cLeguoC9AL8gwPDCQMMwxADFIMagyBDIwMhwx3DGUMVwxNDEAMMwwrDDMMTAxpDHoMbwxEC/oLkAr+CjkJOQgABpgFDgN5AfgAsv/J/1H/Qf+B//IAgQEiAdACfgMeA6MECQRUBIwEswTOBN4E5gTnBN8EzASyBJYEewRkBEsEKgQAA9EDoQN0A0cDFwLjArACfwJQAiEB7wHAAZcBeQFiAUgBIwDyAL0AjwBpAEgAIP/v/73/lP94/2L/Rv8e/u/+yP6v/p7+if5q/kn+Mf4m/iL+GP4F/fD94P3R/bf9h/1H/Qb8yvyL/D/78vvH++b8T/zL/Qv83fxT+7n7XPtb+5778/w3/GL8gfyY/KP8mfx7/FH8Jvv++9/70/vj/A/8R/xy/IP8f/x3/Hn8g/yK/Ib8ffx4/H/8kPyh/K38tfy4/Ln8tfyx/LP8v/zQ/Nz82/zR/Mf8yfzX/On89/z//Qj9F/0q/Tv9Rf1J/U/9Wv1q/Xf9ff1+/X/9g/2L/ZP9l/2X/Zb9lv2Z/Z/9pv2v/bf9wP3L/dn95/30/f3+Av4D/gH9/v35/fP97v3s/e798v3z/e/96f3k/eH94P3b/dH9wP2t/Zv9jf2C/Xv9df1z/XL9c/1x/W39ZP1Z/U39QP0x/R/9DPz4/OX80/zF/Lf8qvye/JH8g/x1/GX8U/w9/CP8Bvvo+837tPuc+4T7avtS+zz7Kvsc+xH7Bfr4+uX6zfqw+pL6dvpe+kf6LvoR+fH50/m3+Z35g/lm+Uj5K/kQ+Pf43/jJ+LX4o/iT+IH4bPhX+EL4L/ga+AP36vfS9733rPea94b3b/dW9z/3KPcQ9vX22Pa69pz2fvZh9kX2KvYP9fP11fW29Zj1gPVu9WD1U/VE9TX1I/UP9Pj04fTM9Lz0sPSk9JT0hfR59HX0d/R59Hb0cPRu9HP0fPSC9ID0evR39H/0jfSb9KP0pfSo9K70t/S99MD0x/TV9On0+vUC9QD0/fT+9P/09fTY9K/0ifR99Jj02fU69bP2Nfau9wj3Nvc+9zn3Q/dt96/39Pgo+Ef4Wvht+If4pvjF+N/48vj++QL5BfkM+R35M/lH+VD5TflI+U35Y/mH+bP55Poa+lf6mfra+xD7OftW+2n7c/t0+2/7afto+2/7fPuR+6771vwI/D78b/yX/Lf80/zn/OH8q/w6+6P7FfrI+tb7LfuU+8r7rvtN+tb6fPpU+kz6R/ox+hX6EPo1+nj6r/qx+mv59fl4+RX40/ic+Fn4Afed9z326vaj9mP2LfYI9fb18fXu9eP11PXK9cj1y/XK9b/1sfWp9av1sPWp9ZL1b/VR9T31L/UY9PT0yPSl9JT0kPSL9Hf0WPQ49CT0GPQD89Tzh/Mr8tLyifJR8iHx9fHS8cLxyfHe8fPx/fH78ffx+fID8hPyJvJA8mjynvLY8wTzD/L08r/yhPJV8jzyOPJA8kfyQ/Ix8hXx9/Hj8dvx3/Hn8ezx5vHV8bnxmfF+8W7xa/Fw8XbxefF88YfxnPG68dfx8PIL8jDyY/Kj8unzNfON8/D0UfSX9Kv0kPRl9FH0bfSs9O/1FvUc9RL1DvUZ9Sv1PPVM9WP1ivW39dr16fXq9e/2CPYy9l/2ffaK9pL2oPa59tH23PbW9sj2vPa89sX20Pba9ub2+vcY9z73Z/eS97737fgd+Er4b/iQ+LL43fkX+V/5svoJ+lv6m/q++sD6p/qE+mn6Yfpu+ov6tvrx+z/7m/v9/Fb8nvzW/QX9Mf1c/Yj9uP3z/kT+sf84/9QAfAEkAcYCWQLcA1ADuAQYBHQEzwUtBY4F7AY7Bm0GfQZ3BnAGgAatBu0HLgdmB5gHzAgKCFEImQjaCRMJRwl3CaYJ1AoHCkMKiwrYCyILZAuhC+EMKgx5DMcNCw1DDXYNqg3kDiMOZQ6lDuQPIw9mD64P+xBMEJ0Q6REtEWsRoxHbEhISShKEEsITBhNOE5UT1RQLFDoUZRSSFL8U7BUaFU0ViBXIFggWRBZ5FqsW3hcSF0QXcxefF8wX/xgyGGEYhhihGLYYxxjUGNsY2RjQGMcYwhjEGMsY0hjUGNEYxxi5GKoYnhiWGJIYkBiNGIcYfhhxGGIYThg3GB0X/xffF74Xnhd+F10XORcPFuQWwBavFrYWzhbqFv0XAhb8Fu8W1xasFmYWDBWyFXEVVhVcFW8VfhWEFYQVgBVyFU8VEBS+FGsUIxPkE6QTXhMYEuASxBLFEt0TBBM6E4IT2RQzFIEUthTXFOwU+BT4FOEUsRRyFDYUDhQCFA4UKBQ/FEMUJhPgE3wTERK5EoQScRJ1En8SjRKgEr8S5RMKEyETJBMXEwcS/xMEEzgTRBNIE0ATMhMpEy4TQhNiE4cTqhPDE88TyRO5E6cTnRObE5gTjhN+E3YTghObE60TnBNgEwsSuRKBEmASQxIaEekRxRHFEfASNBJzEpYSmxKREooSjBKTEpESfRJWEiER5RGhEVcRDRDMEKIQkxCZEKYQrBCrEKkQsRDFEOEQ/RETER4RIxElES0RPxFhEZERxhH3EhgSJxIqEicSIxIbEgwR7xHEEY4RVxEnEQUQ8BDlENYQuhCLEE0QDw/cD7wPqA+VD3oPVw80DxoPDQ8HDv8O7w7WDrcOlA5sDj0OAw2+DWoNCgymDEwMDwvyC+sL4Au8C3oLJgrQCn4KLQnRCWkJAQikCFoIHgfnB68HewdRBzYHKgcpBywHMQc3Bz4HRAdEBzUHDAbEBmUF/gWfBVYFKwUnBVYFwgZpBzUIAgipCRgJUQlmCWUJVgk5CRAI1wiICBEHZQaCBX4EgAOsAw0ClgIqAbMBKwCdABX/mf8k/rP+Rv3k/ZX9W/0y/RL8+Pzh/M78vfyo/Ir8ZfxA/B78APvh+737lvtz+1j7Q/sn+vr6uvps+h752Pmd+W35Rvkn+Q749/jZ+LL4fvhC+AH3u/dy9yX21vaK9kT2CPXX9bH1kPVu9Uf1HPT09Nf0w/Su9Iv0VvQU89DzmfNx81TzOfMZ8vLywvKM8lPyG/Hn8bjxjvFk8TzxFfDx8NDwr/CM8GrwT/BE8E7wbPCU8LnwzvDL8LbwmvB/8GnwTvAk7+rvqu9171PvPu8q7w7u7e7Q7r7ut+6y7q/ute7O7vzvMu9c72vvWO8m7tzuhO4x7fXt4O3u7gnuF+4K7eXttu2I7VvtK+z87Nzs1uzm7Pjs9uzZ7Knsc+w46/Trp+th6z3rTuuP6+jsPeyD7MLtAO077WDtWu0k7MfsUOvB6xjqVemH6M7oUOgj6EbooekN6WTpkOmR6XnpXulP6UTpLOj86LnoeehU6Fjoe+is6ODpF+lZ6azqB+pW6n/qbOoX6Yzo6uhY5/3n8ug16KvpMOme6eTqAuoK6hHqJ+pL6nLqjuqX6pbqm+q66vnrUOuv7ALsQOxo7ILsmey27N3tDu1G7X7ttO3q7h/uUO557pburO7C7uHvDO8872vvlu/C7/HwI/BU8IHwr/Dj8SPxa/G08f7yS/Kg8v3zW/O09Ab0V/Ss9QX1WPWe9dj2D/ZQ9qD2+vdX97H4Dvhw+Nv5TPnA+jT6pvsX+4P76/xR/Lr9Kf2X/fr+Sf5+/qH+vf7e/wn/Pf90/6b/0//9ACsAXwCYANEBCAE/AXkBtwH1Ai8CYwKUAskDBgNMA5kD7gRIBKUFAQVZBa8GCAZjBr4HEwdiB7UIEAhqCKkIuQibCHIIbgipCRYJkAnxCi4KUQpnCmwKWQosCfsJ3gnfCe0J7gnSCaYJhgmJCa0J3woLCiwKRQpYCmEKWgpECicKEwoNChQKIAoxCkkKbAqZCsQK4QrvCvcLBgsnC1sLmgvcDBcMRgxiDGkMYgxXDFcMaAyADIwMggxkDEUMNwxADFQMYwxqDG0MdQx8DG4MMgu9CxEKOgk/CCMG6AWTBDUC5AG2AMIAHP/U/+oATwDnAZQCQALkA3oD/QRmBLAE3gT5BQsFFwUdBRwFEQT/BOUExgSkBIYEbQRYBD8EGgPrA7cDhgNaAzADAALJAo4CVgIkAfgBzwGlAX4BWgE7ARsA9gDKAJsAbwBHACL/+f/J/5r/c/9W/z3/G/7t/rv+lP6A/nb+Z/5L/ir+E/4M/g3+Bf3u/dL9v/23/an9hP1F/Pv8tfx2/Dn8Avvp/A78b/zf/RX84/xZ+777W/tS+4/74vwn/FX8dPyI/I/8hPxs/Ev8J/v++9T7uPu7++H8G/xO/Gj8avxk/GP8Zvxl/Fv8UfxS/F/8cPx8/ID8gvyF/In8iPyD/IL8i/yd/Kz8sPyp/KH8pPyz/Mb80/za/OH87fz8/Qn9Dv0O/RL9Hf0t/Tz9Rv1L/VH9Wf1k/W39c/10/XP9cv10/Xn9gP2H/Yz9kP2V/Z39qP20/b39wf3C/cD9v/29/br9t/22/bj9u/27/bj9sP2o/aL9n/2b/ZP9h/12/WT9VP1F/Tr9NP0y/TP9Nf00/S/9Jv0c/RH9Bvz5/Oj81vzD/LH8ofyT/Ib8efxt/GD8UvxD/DL8HvwI++37z/uy+5n7g/tw+1z7SPs0+yH7EvsF+vn66/rb+sb6rfqO+m76T/o1+h36Bfnq+cz5rvmS+Xj5XvlC+SX5Cfjv+NX4vfik+I/4ffht+Fz4Sfgz+Bz4Bvfx99r3xPev95/3kPd/92j3Tfcw9xX2/fbl9sv2sPaU9nz2ZPZL9jH2FfX59dz1vvWe9X71YvVM9Tz1L/Uh9RL1APTt9Nf0wPSr9Jr0jvSE9Hr0bvRj9F70XfRe9Fz0WPRT9FL0VfRX9Fj0V/RZ9GD0a/R19Hr0ffSD9Iz0lfSX9JT0k/Sd9LH0x/TV9Nb00fTQ9NP0z/S79JP0Z/RQ9GL0pvUU9Zv2Jfad9vD3G/co9y33QPdr96b34vgS+DT4TPhg+HL4hfiZ+K/4xfjW+OH45/jx+QP5Hvk6+U35Vvlb+WT5dvmR+bT53/oT+k76iPq5+t76+fsR+yj7OvtB+z77OPs4+0P7Wvt6+577xPvr/BD8MfxU/H38q/zO/Mn8hfwC+2D61fqP+p365/s6+2b7VvsV+sb6hfpd+kb6LfoN+fH56/oG+jb6W/pV+hr5vflc+RD43Piu+HL4IvfG92z3GvbP9of2RPYO9ev11/XK9br1qPWc9Zv1ovWo9aj1pPWh9aL1ofWU9Xj1VfU39SL1EfT59Nf0s/Sb9JL0j/SE9Gn0Q/Qk9BX0EfQD89nzj/M08tvylfJh8jryGfID8fvyA/IR8hzyG/IT8g7yE/Ii8jfyS/Ji8oHyq/La8wDzEvMI8ufyufKM8mvyWvJW8lfyVPJF8izyEfH98fPx8fHv8ejx2vHG8a7xlvGB8XbxdvF98YXxivGO8ZfxqPG/8dbx7fIK8jHyZPKe8tjzGPNm88X0JfRp9Hv0YfQ89Db0YvSw9Pj1HfUe9RH1DvUc9TP1RvVY9W/1kvW39dH12PXV9dr19PYd9kP2XPZm9nH2hvai9rb2t/al9o/2hfaQ9qr2x/bi9vr3F/c792P3jPew99P39vgc+EH4ZPiE+Kb4z/kD+T/5f/m7+ez6DfoW+gf55/nD+av5qfnB+e/6MvqK+vT7avvd/EH8jvzI/PX9G/08/Vn9d/2i/eb+Sf7I/1z/+gCdAT4B2AJnAusDZAPWBEMErAURBXMFzQYaBlEGcAZ9BocGnAbEBvcHKgdVB3sHpAfVCA8ITQiJCMMI+wkxCWUJlwnOCg8KXAqvCv4LQQt9C7kL/gxPDKMM8Q00DW4NpQ3eDhkOVg6VDtMPFA9XD5wP5hA0EIYQ1hEgEWERlxHHEfcSKhJjEqUS7BM2E30TvBPyFCEUTRR6FKcU1RUFFToVdhW4FfoWNxZuFqAW0hcFFzgXaxedF9EYBRg1GF4YfRiSGKEYrRi0GLUYsBioGKQYpBioGK0YsBiwGK0YpxidGJAYgRh0GGwYaxhvGHQYdBhoGE8YKxgGF+kX1RfFF68XjBdeFy0XAhbhFs0WxBbHFtYW7BcAFwcXABbsFs8WqhZ5FjoV8hWxFYQVbhVkFVYVPhUkFRMVDxUNFP4U2RSqFIIUbhRmFFYUKxPnE54TaRNcE3kTtRP/FEkUixS/FOoVFBVEFXsVqxXEFbsVlxVnFT8VJhUaFRQVCxT9FOUUvhSDFDcT5hOeE2UTPBMaEvsS4hLaEucTCRM0E1cTZRNeE0kTNhMwE7QTvxPAE68TkhN1E2YTZRNuE3sThxORE5YTlBONE4cTiROOE4oTdxNaE0UTRBNPE00TJBLUEnkSNBIVEg0SABHjEcIRuhHfEisSfxK9EtgS2BLREtES2xLlEucS2hLAEp4SdxJIEgwRwBFrERoQ3RC9ELUQuRC7ELcQshC3EMkQ4RD1EPoQ8BDfENYQ3xD7ESYRVxGHEbER0xHtEgISEBIXEhMR/BHTEZkRWxEoEQwRBxEPERQRBRDfEKYQaRA3EBcQAw/xD9YPsA+ID2YPTw9ADzAPFw71DswOog51DkEOAA2rDUEMxwxMC+QLoguJC4wLjwuAC1gLIQrkCqIKVQn4CZIJLwjbCJYIVggYB90HrweTB4gHggd5B20HYwdhB2sHfgeTB50HkgdmBxsGuQZRBfAFoQVsBV4FhgXwBpEHUAgICJ8JDAlVCYIJlwmTCXkJSgkICKsIJgdzBp0FwQT+BGQD6gN4AvMCVQGpAQUAdf/5/4P/Cf6M/hX9s/1q/Tj9Ffz8/Of81PzA/Kj8i/xr/Ez8L/wS+/H7yvuh+3r7VPss+v76xfqD+jv58vmq+Wj5M/kM+PH42vi++Jj4afg09/v3vfd49yv23PaR9k32EvXi9bv1m/V89Vz1OvUY9Pv04fTF9J/0bPQv8/Lzu/OQ82/zVvM98x/y9vLA8oPyRvIN8djxovFp8TDw/vDY8Lvwn/B88FDwIu/87+Tv3u/m7/XwB/AZ8CzwRfBj8Hzwf/Bd8Bjvxu+E72PvXu9j713vRu8n7wXu5O7E7qnuoO6z7uHvGO9D71XvUu9A7ybvA+7f7sbuxu7g7wPvE+8B7s/uku5b7irt9+2/7YntZO1Z7WTtdO167WvtRe0H7LTsWOwK697r2+v17BXsLexC7Gfsp+z/7VTtje2a7XftLuzG7Ebrs+sS6mzpxukr6KfoSOgY6BToMOhZ6IPopei76Lzon+hh6A/nwOeM53/nmOfL6A7oWuiv6QzpbunQ6ibqYOpo6i/puOkj6JzoUOhU6J/pEemA6dHp+uoG6grqGuo66mDqfOqF6oHqh+qq6vDrTOun6+/sIexC7F/sfOyc7Lzs2+z97SXtV+2T7dfuG+5Z7onure7L7urvDe8x71Tveu+m79rwE/BI8HfwpfDc8SLxdfHL8h7yb/LC8xnzcPPB9A70XPSy9Qz1YvWr9en2I/Zo9rn3Efds98X4IviH+PT5ZPnW+kn6vvs2+6v8HPyH/PD9Wv3D/iH+bf6k/sr+6v8N/zf/Z/+Y/8b/8gAfAFAAhQC9APQBKAFdAZYB0QIMAkMCdwKsAucDKANuA7cECQRoBNIFPgWhBfgGTAajBv8HVwelB+sIMQh3CK4IxAi1CJoImwjSCTcJpQn5CiQKNQo7CjsKMAoWCf0J9woNCiwKOQoiCfUJ0QnPCfMKJwpRCmUKZgpcCk0KNwocCgMJ9wn+ChYKNApTCnEKkwq7CuULBAsUCxgLIAs6C3ELwAwaDG4MqwzFDLgMjAxWDDUMOgxbDHkMdQxFDAIL1AvWC/4MLgxHDD8MHAvmC5QLFApYCWUITAcfBeoEsQN+AmMBeQDWAIMAgADHAUgB7gKhA0sD4ARcBMIFEgVHBWIFZwVhBVkFUQVHBTgFIwUIBOoEyQSoBIkEbQRPBCoD+wPEA44DYAM6AxMC4wKpAmgCKwH4AdABrAGHAV0BMgEIAOQAxACjAH8AVQAp//r/y/+d/3H/S/8s/w7+6/6//pD+a/5V/kr+O/4j/gf99v3z/fX96v3P/a79mv2V/Y/9cv04/O78qPxp/Cv78vvX+/v8Y/zf/SX8/vx3+9T7ZftQ+4L7z/wT/EL8ZPx6/ID8c/xY/Dn8Gfvz+8f7ofuV+6/75fwe/EP8UfxS/E/8SvxA/DL8K/wy/ET8Vfxb/Fb8UfxU/Fv8X/xe/F38Zfx1/IX8i/yG/ID8g/yP/Jz8pfyp/K78t/zB/Mb8xvzG/Mz82/zu/P39CP0R/R79L/1D/VT9Xf1g/V79Wv1X/Vb9V/1b/WD9Y/1m/Wv9cv16/YD9g/2C/YH9gf2B/YH9gf2B/YT9h/2H/YP9ev1v/Wb9X/1a/VP9Sf08/Sz9Hf0P/QX8//z+/P/9APz+/Pj88Pzn/N780/zG/LX8ovyP/H78bvxg/FP8R/w7/C78IPwQ+//77PvY+8H7qfuQ+3v7afta+0z7O/sp+xj7B/r1+uP6z/q6+qP6i/pu+k76LvoQ+fb53vnD+aX5hvlp+U75NPkZ+P/45vjP+Lf4nfiD+Gv4VvhE+DH4G/gD9+v31vfC9673mveH93f3afdY90D3JPcG9uv20/a79qD2g/Zo9lL2PfYn9g318vXY9b/1pfWI9Wj1SfUw9Rz1C/T79Oj01vTE9LL0nvSK9Hf0afRh9Fv0VvRO9Ej0Q/RC9EH0P/Q79Df0NfQz9DL0M/Q49EH0S/RT9Fj0XfRn9HT0f/SC9H30efR+9I/0pPSx9LP0sPSy9Lv0v/Su9IX0U/Q09EX0k/US9af2M/ae9t329/cB9w73Lfdf95f3yvfx+BD4LPhF+Fv4bPh6+Ir4n/i1+Mr42/jq+P75Fvkx+Uv5Y/l4+Y35nvmt+bz50/n3+iX6U/p4+pH6p/rA+t/6+/sM+xH7EvsZ+yv7Sftv+5f7vfvb++37+fwN/Db8c/ys/Lj8ePvu+0T6t/p1+oX6x/sK+yv7Ifr5+sn6nPpz+kv6JPoF+fn6AvoZ+i36K/oH+cf5ffk6+Qn45vjC+JH4TvgC97f3cPcr9uP2mvZX9iL1+/Xa9br1nfWI9YT1jvWf9az1sfWv9af1mPWA9WD1PfUb9Pz02/S59Jz0jvST9KD0ofSG9FL0G/P48/X0AfQC8+HznfNG8vTytPKH8mfyTfI78jXyOvJB8kHyN/Iq8iTyLfJC8lzyc/KH8pvysvLM8uTy9PL68vLy3fK+8prye/Jl8lnyUfJG8jPyHvIK8fzx8vHn8drxy/G78azxnfGR8YzxkvGg8bLxwfHL8dTx3vHo8fPyBPIg8kvygPK08uLzDvNF843z2fQO9Bv0BvPz9Af0S/Sp9Pj1G/UY9Qn1CfUc9Tr1U/Vn9Xv1kvWp9bf1uPW29b711/X59hb2K/Y79lH2cPaN9pj2i/Zv9lf2WPZ09qL20fb59xr3Ovdd94H3ofe698/35ff/+Bv4NPhJ+Fz4c/iS+Lf43/kB+Rf5Ifke+RH5Afj3+Pv5FPlE+Yr54/pN+sb7RPu6/Bz8Zvyb/MP85f0C/R39Ov1k/aP9/f5u/vH/fwAWALIBUAHpAnsDBwONBAsEfgTkBT8FlAXkBiwGYwaIBqAGtgbUBvkHHwc/B1sHeAecB8sIAQg7CHYIswjvCSsJZQmiCecKNQqHCtQLGAtVC5IL1wwlDHcMxQ0KDUgNgw29DfgONA51DrwPBQ9PD5YP3BAkEHIQwhEPEVERhBGwEdwSDxJMEo8S1RMYE1kTlRPME/4ULBRZFIcUtxTqFSMVYxWmFegWJhZdFpAWwhb2FywXYxeaF9AYARgsGE0YZxh4GIQYixiKGIUYfhh5GHsYgBiGGIkYiBiHGIUYghh8GHAYXxhLGDsYMxg1GEEYTBhMGDgYERfkF78XqhedF4kXYhcpFu4WwhavFrQWxhbaFukW8BbtFt4WxBakFoMWYBY6Fg8V4RW1FY8VbRVEFQ0UzBSRFGwUYRRmFGsUaxRvFIkUvRT8FSQVGxTcFH4UJxP5FAQUPxSUFOUVHhU9FU8VZxWSFcoV+hYQFgUV5xXKFbsVthWwFaAVhhVrFVQVOxUaFOsUshR3FD0UBxPRE5wTcBNUE04TYBOBE6UTvhPFE7wTsBOsFFsUbRRxFGEUQRQdE/8T6BPRE7gToROPE4QTexNxE2oTaBNoE14TQhMZEvUS4BLVEr0SihJDEgQR5xHsEfkR9RHeEdAR6RIwEowS1xL8Ev8S9xL1EwATDhMVExETBhL4EukS2xLIEqYSaBILEZgRKRDbELoQvxDOENQQzBDBEMQQ2BDzEQMQ/RDnEM0QuxC3EL8Q0BDrERARPhFwEZ4RwxHZEdsRxhGcEWYRMhETEQ4RHxE1EUAROBEdEPcQzhCpEIkQbhBVEDcQEw/qD78PmA91D1IPKw8ADtIOpQ53Dj4N9A2QDRYMjwwSC7QLgQt2C38LhAt1C1ELIQrsCq4KYAoACZsJQgj/CMsImghkCDEIDQf9B/kH8gffB8QHqgebB5oHpge5B8wH1QfIB58HWgcGBq0GWQYOBdYFwgXgBjQGrwc5B7kIJwiBCMsJAQkdCRwJAwjdCK4IbwgXB6EHGAaNBhIFpAUyBKgD/gNCAosB7gFnAOEASP+X/uD+P/3J/YH9V/04/Rn89/zW/Lf8m/x//GT8S/wy/Bb79PvL+5z7avs3+wb61Pqe+mD6F/nG+XX5Mfj++Nr4vfib+HL4QvgR9933pfdm9yH22/aZ9lz2JvX09cr1qPWP9Xv1ZvVN9S/1DPTl9Lf0hPRN9BTz3/Ox847zd/Nn81bzN/MI8szyjPJP8hPx0/GN8UbxCPDY8LPwj/Bl8DPwAO/R76nviO9v72HvYO9u74/vxfAL8FTwhvCM8GLwHO/a77fvte/G79bv2e/O77Xvje9X7xzu8u7m7vrvHO8570zvXe9475zvvu/S79nv3e/o7/Lv6+/K75HvUu8Y7uLuqO5j7h3t5O3F7cDtzO3c7ebt4O3D7YztR+0I7OHs0+zM7LXshuxQ7DTsTOyZ7QLtXu2M7X7tPOze7IDsLOvb62/qyenh6M/nyecE5p7mjua35vTnLOdS52LnWuc85xHm5+bM5sbm1eb45yvnaeeu5/foSeiq6R/pm+n/6inqB+mk6Sjoxeie6LjpAulb6abp1Onm6ezp9+oR6jPqUOpf6mXqc+qa6tvrJ+to65Lrq+vF6+rsG+xO7Hjsluyt7Mfs7+0o7XDtwu4T7lvulO7C7ubvBu8j7z7vX++K78Hv/fA38GrwnvDd8S3xivHo8kDykPLe8y3zfPPI9BL0XvSx9Qv1ZPW09fv2QfaM9t73NPeK9+L4QPip+Rr5jfn++nH66ftl++D8Uvy8/SL9iP3v/k7+nP7X/wL/Jf9H/2v/kf+6/+YAFQBJAIAAugDyAScBWQGKAbwB8AIiAlMChQK9Av0DQQOGA88EJgSRBQwFhwXyBksGnQb3B1kHswf0CBoINQhWCIAIoQiuCLEIxQkBCWAJvQn3CgAJ7QnZCdUJ2gngCeYJ9goZCkMKXwpdCkQKLAoqCkMKZAp4CnQKXwpECi0KHAoNCgUKCQodCj8KZQqFCp0KtQrUCvoLHQsyCzkLQAtcC5kL8wxbDLkM+w0RDPIMoww9C+4L2gwBDDsMTAwSC58LLwr6Cw0LQgthC0kK+Ap/CeoJNQhXB1UGPwUpBB4DIwJCAYsBFwD0ASMBlAIxAuQDlwQ5BL0FIAVnBZkFugXKBccFtwWhBYoFdQVfBUYFKwUOBPEE0gSxBI0EZwQ9BAwD1AOZA2MDNgMPAuUCtAJ6Aj4CBgHYAbABiwFjATUBBADVAK4AkQB5AFwANAAF/9P/o/94/0//Jv8A/t3+vP6Y/nP+Uv44/ib+FP4A/ev93/3d/dv9zv2x/ZD9ev1z/Wn9Tf0b/N78pPxn/Bv7x/uQ+6j8HPy8/Sv9Ivyh+/H7a/tA+2T7qfvr/B/8Svxr/Hj8bPxN/Cv8Dfvt+8P7lvt6+4H7qvvi/BH8LPw3/Dj8Mvwk/BX8D/wX/Cr8Ovw9/Db8L/ww/Df8Pfw9/D/8SPxW/GT8Z/xi/Fv8W/xh/Gf8avxt/HP8fPyC/IL8ffx7/IT8lvyr/Lr8xvzT/Oj9BP0h/Tf9Q/1H/UX9P/04/TL9L/0w/TX9Of09/UD9Rf1J/U39T/1O/U39Tf1N/U79T/1S/Vb9Wf1Y/VH9R/07/TH9Kv0k/Rz9Ef0D/PT86Pzf/Nr82fzY/Nf81PzP/Mj8wPy4/LH8p/yZ/Ij8c/xf/Ez8O/ws/B38EPwE+/n77vvg+9D7wfuy+6L7kft++2z7XPtP+0L7M/sg+wv69frc+sL6p/qO+nf6YfpJ+iz6DPns+dD5tfmZ+Xz5XPk++SL5CPjw+Nf4wPiq+JL4ePhe+ET4Lvga+AT37PfS97r3p/eX94X3cfdc90n3OPcm9xD29vbb9sL2q/aS9nX2VvY69iP2D/X69eH1xvWu9Zr1hfVt9VH1M/UY9QP07/Tb9MT0rvSd9I70fvRr9Ff0RfQ79Dj0NvQy9Cv0JPQg9B/0IPQg9B/0HPQY9Bb0FfQY9B/0KPQx9Dj0P/RJ9Ff0ZPRq9Gn0Z/Rt9H30j/Sa9Jz0nPSl9Lb0w/S49JD0WPQ09EP0lPUa9bL2OfaV9sP20vba9u/3GfdR94j3tPfS9+v4CPgp+Ej4X/ht+Hn4ivih+L341/jt+P/5Efkm+UD5YvmJ+az5wfnG+cD5vvnL+ej6C/os+kj6ZfqG+qr6yPrb+uX67/sB+xz7PPtd+4L7qPvH+9X70PvJ+9n8DvxW/Ib8cPwK+3b68Pqr+rD64vsT+yf7HvsI+u/61Pqt+nn6Rfol+iT6N/pJ+kH6FvnT+Yj5Svkg+Qb48vjX+K/4efg89/33wfeD90L2/va99oH2TfYd9e71xPWl9Zn1oPWy9cT1zPXI9bj1n/WB9WD1O/UQ9N/0q/SB9HD0gfSo9Mf0v/SG9C/z4vO+88rz6/P78+TzqPNb8xTy3/K58pnyf/Js8mbyaPJr8mPyUfI98jPyO/JT8nHyjfKj8rLyvPLA8sLyxfLN8tjy3fLV8rvylvJx8lXyQ/I28inyGfII8fnx6vHb8c3xwfG58bHxqvGl8afxtvHR8fHyD/Ij8i3yLvIr8ivyNPJQ8n7ytfLl8wjzJfNI83jzqvPI88XzsPOq89L0KfSU9Oj1DPUJ9Pr0+fUP9S/1TvVl9Xb1hfWP9ZP1kvWV9aP1uvXV9ev1/fYV9jb2W/Z29nv2afZQ9kb2WPaD9rj25/cK9yT3PPdV9233gfeN95b3ovey98P30PfS9873yvfR9+X4APga+C34OPg8+ED4Sfhc+H34r/jz+Ub5qPoW+o/7C/t/++H8Kvxd/IP8o/zC/OL9Bf0w/Wr9t/4W/of/CP+YADIA0QFwAgwCpQM4A70ELASDBMwFFQVoBcIGEwZPBnUGjwarBs4G8wcTByoHQAdcB4YHvgf9CD4Ifgi8CPkJOAl7CcQKEQpfCqgK6gsoC2gLrwv6DEYMjQzPDQwNSA2FDcMOBQ5ODp8O9A9GD5AP0hAVEF8QrhD6EToRaxGVEcER+BI3EnkSuBLzEy4TaROiE9cUBxQ2FGcUnRTXFRUVVRWVFdQWEBZJFn0WsBbkFxsXVReQF8cX9xgeGDwYUhhgGGYYZRheGFUYThhOGFIYWRhcGFsYWBhVGFIYTxhJGD8YMRghGBAYBBgCGAoYGhgiGBYX8hfAF5IXdBdiF00XJhbtFrEWiRaBFpQWsxbKFtAWxBarFowWaRZHFioWExX/FesV0hW0FY4VWxUWFMIUaBQbE+oT2BPfE/IUDxQ+FIkU7BVQFZYVoRVuFREUsRRyFGsUmxTsFT4VeBWTFZwVqhXJFfUWFxYgFhIV/hX3FgAWCxYFFeoVxRWoFZkVkRV/FV0VKhTyFLgUgRRLFBcT5xPAE6cTnxOsE8sT8RQTFCoUORRIFLUUyxTXFNEUvxSnFI8UchRJFBUT3xOyE5ETdhNcE0QTMxMnExcS+RLNEp4SeRJbEjgSCRHaEcIRzBHpEfwR9hHqEf0SRhKzExMTPhMuEwMS5RLnEv0TExMbExkTFRMUExYTGRMaExAS6RKUEhURhhETENkQ1xDxEQIQ/RDsEOUQ9hEUESoRJBEBEM4QmBBqEEgQNBA1EE4QfxDAEQQRQBFpEXkRbRFJERsQ9xDvEQQRKRFKEVkRVhFIETYRHxD9ENEQoRB1EFEQMRAPD+cPuw+PD2QPOg8SDuwOxg6bDmEODg2fDRsMkwwfC9ILsguyC7kLsAuNC1cLHAriCqIKUgnzCZMJRwkXCP0I5wjNCLIIoQieCJ4IlAh3CEsIHwf8B+UH2gfZB+EH7gf0B+kHxweTB1MHDQbFBoIGTwY6BkoGeAa1BvUHMgdxB7IH7wgbCC4IKwggCBwIIQgjCA8H3geTBzwG5AaEBg8FfQTVBC0DlgMKAnIBsgDE/8T+4P48/d39rf2K/V79Jvzr/Lj8j/xu/FP8O/wm/BL7+/vb+7L7gPtM+xr66/q7+oT6P/nt+Zf5SPkJ+Nf4rPh++Ev4Fvfi96/3efc/9wT2y/aX9mX2NPYC9dX1tPWh9Zf1jvV+9WH1OvUK9NX0nPRi9Cjz8fPA85zzhvN883LzXvM58wbyzvKX8l7yHvHT8YPxN/Dz8LjwgPBJ8BXv6O/A75nvb+9D7x7vB+8E7xrvTO+c8APwafCx8Mrwt/CR8HLwafB28I7wqPC+8MPwrvB78DXv9O/O78bvzO/S79Tv3+//8DLwZfCE8IbwcfBU8DbwF+/379jvu++a727vM+7x7rnume6O7ovuhO547m3uZO5T7i/t9+267Yvtce1d7Tbs8eyc7FrsT+yC7NztLe1I7RXsoewZ66vrc+te6zfqxOnq6Mbnmuas5h7l6eXp5fzmEOYi5jbmTOZh5nPmgOaJ5o3mj+aU5qPmv+bl5xPnTueg6BXopOkw6ZLpsemQ6UrpBuji6OjpEelK6YLpqem86cLpyOnY6fLqDuol6jjqUOp46q7q4usH6xjrJes/63PruOv/7DnsX+x47JDssuzk7Sftee3R7iXube6n7tPu9u8T7y7vTe9176bv3/Aa8FTwk/De8TfxmvH78lPyovLv8z7zjfPY9CD0aPS39Q/1afW/9hL2Y/a29wz3Yfe0+Ar4afjU+Ub5uPop+pz7FfuR/Ar8ePzc/T39o/4M/m/+w/8D/zH/Vf9z/4//rf/Q//wAMwBvAK4A6gEiAVgBigG5AeYCEAI5AmMCkwLLAwwDUwOcA+wETgTFBUsFzAY5BpIG6QdOB74IHQhQCFUIRghECGAIjAi0CNMI+Qk6CZEJ3gn/CegJswmICXwJjQmoCb4J0gnsCg0KLAo8CjwKOAo8CkoKWApZCkgKLgoYCg8KEgobCigKOQpSCnMKlQquCr0KzQrlCwkLLgtJC1cLaQuUC98MQgylDPQNJQ0sDP4MlAwAC3QLLgtFC5MLxAuTCvsKPgmxCYEJlAmoCYYJHwiIB9kHHAZQBXQElAPDAwoCbgH3Aa8BqAHmAl8C/gOrBFME6AVgBbYF6wYHBhQGGAYSBgEF5wXKBawFkAVxBVAFLQUMBOwEygSlBHsETAQaA+QDqgNwAzsDCgLbAqkCdAJAAhIB6AHBAZcBawE8AQ0A3ACuAIYAZgBLAC4ACP/b/6//h/9k/z3/D/7g/rb+lv58/mD+Qv4k/gz9+f3o/dj9y/3E/b79sP2Y/X39Z/1Y/UX9I/z1/Mb8mvxi/Av7m/tI+1X72fyf/Tv9TvzP/An7Zfsg+zb7dfu3++/8IvxP/Gj8YfxD/CL8CPvw+877n/t2+2f7fPun+9T79vwL/Bf8GfwS/AX7/Pv9/Aj8FPwZ/Bj8FfwV/Bb8FvwU/Bb8Ifwv/Dj8N/wu/Cf8Jvwp/Cr8K/wu/Dn8RvxN/Er8QPw8/EX8WPxs/Hv8iPya/Lb81/z0/Qn9E/0Y/Rn9GP0U/RD9Df0N/RD9E/0V/Rf9Gf0b/R79IP0i/ST9Jf0n/Sn9LP0x/TX9Nv0w/SX9GP0M/QT9APz7/PP85fzV/MX8uvy2/LX8t/y2/LH8qvyi/Jn8kPyJ/IL8evxu/F/8TPw3/CP8EPv9++z73PvQ+8j7v/u1+6j7nPuR+4b7eftp+1j7SPs7+y77HvsK+vH61vq5+pv6fPpf+kj6NPog+gf56fnJ+av5jvly+VT5NfkY+P/45/jP+Lf4nviF+Gz4Ufg3+B74CPf199/3x/et95b3hPd192T3Tvc19x33Cfb19uD2yPav9pj2gPZm9kj2KfYO9ff15PXP9bX1m/WD9XD1X/VK9TD1FfT99On02PTD9Kr0kfR89G70YfRR9D30KPQb9BT0E/QQ9An0AfP78/nz/PP/9AL0A/QB8/3z+vP58/70B/QS9Br0IfQo9DP0PvRH9Ez0UPRZ9Gn0e/SG9Ir0jfSa9LH0xvTD9KH0bPRE9Ev0kPUJ9Zb2F/Zz9qX2u/bI9uD3CvdB93X3m/e098n35/gO+Df4V/hp+HL4fviS+K/4zfjm+Pn5BvkW+S/5VfmE+a/5yfnL+b35r/mu+b/53Pn++iH6R/pt+o/6pfqu+rb6yPrm+wf7Ivs0+0n7a/uV+7D7qvuJ+237ePuy+/v8H/v9+6D7N/r2+vD7Efsy+zz7Mfsm+yT7IvsN+t36n/pv+lv6W/pX+jT58fmf+VX5JfkN+QL49/jj+MP4l/hi+Cj37fe093z3RfcQ9t32qvZ39kP2EvXq9dL1zfXT9d/15fXh9dL1ufWY9XD1QfUJ9Mv0kvRz9H30rfTo9QL03PR69ALzqPOM86fz1PPr89jzovNh8yrzAvLi8sTyqPKV8o7ykPKO8oHyafJP8kHyRfJb8nrymfK18sfyzvLH8rbypfKg8qvyvvLL8sPypfJ98lfyO/Iq8h/yE/IF8fbx5/HY8czxxfHC8cDxv/HC8c/x6vIT8kDyaPKC8ovyh/J78nHydfKM8rXy5PMO8y3zSvNt85jzu/PE867zjfOF87H0DfR59M308/Ty9OX04/T09RH1L/VI9Vr1ZfVr9Wz1bfV29Yn1ofW39cv14PX89iD2QvZV9lX2SvZE9lL2dPah9sr25fbx9vX2/PcG9xP3HPch9yT3Kfcz9zz3PPcv9xn3BfcA9xD3L/dT93P3i/ef97X30vf4+Cz4bPi6+RH5cvna+kn6vvsw+5T74/wc/Eb8afyM/LL82v0F/Tb9cv2//iL+m/8p/8MAYgEBAaACPQLRA04DqgPlBBIESwSdBQQFaAW0BeUGCQYxBmQGmwbIBuUG+gcVB0MHhQfPCBgIWQiTCMwJCglPCZoJ6Qo1CnoKuQr2CzYLfAvHDBAMVAyUDNENEA1PDZIN2g4pDoAO2g8vD3oPvRAAEEoQmhDlESMRUxF9EawR5BIiEl0SlBLJEwETPhN6E7AT4hQTFEsUihTOFQ4VShWDFb4V+xY3Fm4WohbUFwkXQxeAF7oX7hgWGDQYRhhOGE0YRRg5GDAYLRgwGDUYOBg1GC4YKBgjGB4YFxgNGAMX+xf0F+0X5BfdF94X5hfsF+MXwReOF1oXNhchFw4W7ha+FooWaBZjFnUWixaVFokWbhZMFioWDBXzFd4V0RXIFcIVthWfFXYVOhTrFJEUNxPtE70TqxOwE8cT8BQsFH8U4BU7FXkVihVsFS0U5xS1FKkUyhUNFVgVlBWzFcAVyxXjFgIWGxYhFhwWHRYxFk8WYRZRFiMV6hXBFa4VpRWTFW8VPhULFNwUsxSKFF8UMRQBE9ITrROgE7ET3xQaFFAUehSZFIAUjRSYFJ0UnxShFKMUmRR7FEgUDBPTE6MTdRNEExUS8BLaEsoSsxKPEmMSOhIUEe8RyRGxEbQR0hHyEfwR8BHyEi0SqhM8E50ToBNVEvUSuxK4EtYS8xL/EwMTChMWEyMTLRM3Ez4TMxMAEpkSERGREUERKhE4EUgRSRE/ET4RTRFgEWERQBD9EKgQUhAFD8cPmg+FD44PtQ/2EEUQmBDiERYRKREbEPsQ4BDhEQARLhFVEWoRbRFqEWIRTREhEN4QkRBOEB8QAQ/oD8sPqQ+GD2cPSw8zDxwPBA7iDq0OWg3mDV4M1QxkDBoL+QvyC+sL0AubC1QLDgrPCpIKSwn4CaYJaglQCVMJYAlqCW8Jcgl1CXAJWAkrCPAItAiBCFcINQgZCAYH/gf8B/kH7gfXB7QHhwdRBxgG5gbDBrQGsga2BrkGvgbQBvIHHgdIB2AHZQdkB3AHkQe+B94H2wevB2oHHQbTBoMGIwWwBTYEwQRLA7sC8gHpAL3/pf7P/kj9/f3H/Yv9Qvzz/Kr8bfw8/Bj7/vvu++X73PvO+7f7lvtu+0H7E/rj+q/6cvoq+dv5jflF+QP4xPiD+EL4AvfF94v3UvcY9uL2s/aJ9mD2MvYB9dX1tPWk9Z/1m/WP9Xf1U/Uk9Ov0q/Rp9Cjz7vO985jzf/Nw82LzT/Mx8wzy5vLA8pbyYPIa8cbxbvEY8MfwffA98Avv5e/G76DvcO877w7u8e7o7vLvFe9a78bwTfDQ8TLxZPFt8V/xUPFK8VPxa/GN8avxsfGX8WbxMvES8QfxA/D28N7wxvC98MXwzvDI8KfwcfAw7/jv1u/U7/HwF/Aq8BXv3e+j74zvpO/S7+rvz++G7y3u3u6c7lbt/u2e7U3tHe0J7Pns1eyZ7F7sQuxV7IfssOyf7Dvrj+rN6jPp5unc6d/psekw6HDnpecB5pnmX+Y45hXl+OXx5gfmNeZu5qTmzubl5ubm1ea85qrmp+az5srm7ucn533n7ehg6Lzo8Oj/6Pvo+ekE6R3pP+lk6Yjppum56cLpxunN6d3p8uoI6h3qNupX6n7qoeq46sXq1er46zHreuvB6/3sLOxR7HbsnuzP7QrtUu2i7fTuPu587q3u1u757xvvPu9l75Tvy/AJ8E7wnPD08VTxtfIS8mbytvMH81vzrfP59D/0g/TP9ST1gPXb9jT2jfbm90D3l/fr+EL4oPkH+XP53/pL+rz7NPuv/CP8ivzm/UL9pv4N/nD+w/8D/zX/Xf9//5v/uP/cAA0ASgCNAMwBBgE8AXEBpgHYAgQCKgJNAnUCpALdAx8DaQO5BBQEgAT+BYMGAQZrBsYHJAeTCAoIbAibCJQIdQhnCH8IswjqCRYJQgl9CccKAwoSCeoJowlmCU8JXAl1CYYJjAmRCZ4JswnICdcJ4QnrCfcKAQoDCfsJ8QnvCfoKEwowCkwKZAp8CpcKsgrICtgK6AsACyELQQtaC3ALlAvZDD0MqAz7DSkNNA0gDOEMYAueCswKOQodCmYKtQqkCgoJHwhFB8YHoQebB3QHFAaJBfAFWQTCBCkDlgMYArkCgAJuAokC1QNLA9kEbATxBWUFwwYLBjkGUAZWBlQGTAY+BicGCAXlBcEFnQV2BUsFIAT3BNIEqwSCBFUEIwPvA7YDewNCAwwC2QKkAmsCNAIGAeQBxwGlAXgBRAETAOcAvgCUAGoAQwAg////2v+z/43/bf9R/y3+/f7I/pr+e/5l/k7+Lv4N/fP94/3V/cX9sv2j/Zj9jP18/Wj9VP1C/Sj9AfzR/KP8e/xG++/7fPsi+yz7ufyT/UT9Y/ze/AP7Sfr3+wr7TfuQ+8X79vwk/EL8Qvwp/Ar79vvp+9T7rvuC+2T7Yvt3+5X7s/vN++X79/v++/j77Pvi++L76Pvw+/X7+Pv2++/75Pvc+9376Pv1+/r79fvs++j77Pvy+/b79/v7/Aj8F/wg/B78FfwS/Bv8LPw+/Ev8Wfxu/Iv8q/zD/ND81/zc/OP86fzs/O387Pzs/O387/zv/O/87/zv/PD88/z4/P39Av0H/Qz9Ev0Z/Rz9Gf0P/P/87/zj/N382/zZ/NP8x/y2/KT8mPyS/JD8j/yL/IT8evxw/Gb8XfxV/E78SPxA/DX8JvwV/AP78fvf+8v7uvus+6L7m/uS+4f7e/tv+2X7WPtJ+zf7JvsY+wv6+/rl+sz6sPqT+nX6Vvo5+iL6EPn++ej5zPmt+Y75cflU+Tb5Gfj++Of40fi6+J/4g/hm+En4LfgR9/j34/fQ9733pveO93f3ZPdT9z/3KPcN9vP23PbH9rD2mPZ/9mf2T/Y29hv1//Xn9dL1v/Wp9ZD1dfVd9Un1NvUh9Qf07PTW9Mb0uPSo9JH0ePRh9FH0RfQ39Cb0EvQC8/fz8fPs8+bz4PPa89jz2fPb89/z4vPj8+Lz3/Pe8+Tz7vP79AT0CPQM9BL0HfQn9C/0NfQ+9E30X/Rs9HL0d/SC9Jj0r/S09J30cvRN9En0efTX9VL1zvY39n/2qfbB9tb29Pcf9033c/eP96j3yff0+CP4Sfhg+Gv4c/iC+Jr4tfjP+OP49fkJ+ST5SPly+Zj5svm6+bb5sfm1+cX53vn8+h76RPpp+oT6jfqK+or6nfrA+uL68/rw+vD7CvtA+3T7gvtb+xn67vr8+z37gPuX+3H7Lvr7+vX7D/sr+zD7JPsf+zH7Uvtk+0/7FfrM+oz6W/ou+fL5qPld+SP5A/j3+PP47fje+Mb4ovhx+Db39/e+9433ZPc+9xj28PbD9pP2YvY19hP1/vX29ff1+/X69e/11PWo9W31KvTl9Kv0ivSO9Lv0/fUv9Sn02vRX89PzgPN085rzxfPT87jzhfNR8yvzEPL58uHyy/K78rXys/Kr8pnyfvJm8lryXfJu8obyoPK58tDy3fLZ8sLyovKK8oXyk/Km8qvynPJ88ljyO/Ip8h/yF/IN8gHx8/Hn8d/x3PHd8d/x5fHy8gzyM/Jl8pjywfLb8uLy2/LL8rvytfK/8tfy9vMX8znzZfOb89Lz9PPt88Pzk/OD86v0AfRk9LD00vTT9Mf0xPTO9OX0//UZ9S71O/VA9UH1RfVQ9WX1fvWX9bD1zPXs9gv2IPYo9ib2J/Y29lb2fPab9qj2pPaX9ov2hvaJ9o/2lPaW9pb2mfad9qD2mvaI9nH2YPZh9nn2ofbO9vb3F/c191X3fPet9+v4NPiJ+OP5QPmf+gL6bPrY+z/7lfvX/An8M/xe/Iv8uPzj/Q39PP16/dH+Qv7J/17/+ACTATABywJXAsIDAQMeAzQDYgO3BCYEkwTkBRoFRgV/BcwGHgZhBo0GqgbLBwAHSQecB+sILQhkCJkI1AkYCWUJtAoACkUKggq9CvoLPguHC9IMGwxfDKEM4g0kDWkNsw4EDlsOsw8HD1QPmw/jEDIQgxDPEQwRPRFpEZkR0BIJEj4SbxKhEtsTGhNYE48TwBP0FDMUehTCFQIVORVuFagV6RYrFmcWmhbIFvkXMRduF6sX4RgMGCkYOhg+GDcYKxggGBsYHBgiGCUYIRgXGAsYAxf9F/cX6xfaF8sXwxfCF8IXvhe2F68XqxeoF5sXfBdNFx4W+hbmFtcWwBadFncWXBZUFlcWWBZJFisWBhXmFc4VvRWsFZ0VkBWIFYMVeRViFTkU/hS1FGcUHxPnE8QTthO4E8kT5xQUFE8UkBTMFPcVCxUJFPYU2hTAFLcUyxT9FUEVgRWuFcQV0RXiFfkWDRYaFiYWPhZnFpMWphaLFkkV+xW+FZwVhxVuFUoVIhUCFOwU2hTEFKMUdhQ9E/sTvBOSE40TsBPsFCgUVBRvE/cT8hPzE/oUChQiFD8UUxRRFDUUCBPVE6ATZhMiEt4SqRKNEoISeBJiEkMSHxH9EdsRvBGuEboR2RHyEfIR4hHvEkQS4ROHE+UTzxNeEt8SkxKLEqoSxxLUEtoS6BL9Ew8TGRMjEzcTTBNKExkSuxJLEe4RuBGmEagRrxG8Ec8R4BHcEbMRYBDxEHsQDw+zD2cPKQ7/Du0O+w8qD3sP5xBgEM4RFxEvESERBxEAERYRPxFlEXwRghGAEXcRXREoENsQhBA4EAEP3A/BD6YPjQ96D2wPYQ9YD04PQg8tDwIOuA5LDcYNPAzBDGQMJwwEC+kLwguJC0QK/wrGCpYKZwoyCf0J2gnWCfEKHQpHCmMKbQplCkkKGgnbCZYJVgkfCO8IvwiKCFUIJQgCB+0H4wfbB88HuQeXB3IHUAc2ByQHFgcDBuwG1wbQBt4HAAcqB0oHVwdWB1YHZgeEB5wHkwdeBwgGqwZbBhoF3AWWBUsFBQTBBGUD0QLwAdMApv+a/sv+Of3P/Xj9J/zX/If8Ovv2+8T7qPuf+6T7rfuz+7T7rPuZ+3j7TPsa+ub6sfp5+jz5+fmx+WT5FfjE+HT4J/fe95j3VPcS9tf2pfZ89lP2J/X29cn1qPWU9Yn1gfV19WL1RvUe9Oj0pvRf9Bvz4vO285LzdPNX8znzG/L88uDyyfK18pzydPI28ebxjPEw8NrwjvBQ8CHv/e/Z76vvcu867xLvAu8G7xXvMe9m78TwSvDi8WzxzfH78f7x5vHF8avxpvG38dTx7fH08ezx4/Hm8fLx+vHw8c/xovFz8UnxIfD08L7wf/A98Abv8PAO8F3wvPD38OvwpfBb8EzwiPDk8RPw4fBQ75Hu2O477a/tIuyV7CDr3uvQ697r5evR66frf+tt63HrdOtP6ufqPel56NDobOhP6FjoWOgy5+3noudm5zvnEebc5qbmguaD5qnm5ecj51XndeeA53XnWOcz5xLm/+b65wDnDuco51TnkOfT6A7oPOhk6JLozekO6Urpeumd6bnp0unm6fTp++oB6gjqEOoZ6iPqMOpD6lzqduqN6qPqv+rn6xnrUOuE67Tr5uwb7FXsjuzE7PntM+117bzuAO477m3umu7H7vbvKO9e75nv2/Ao8Hzw2PE38ZXx7/JD8pXy6fNA85jz6vQz9HX0uPUE9Vv1ufYX9nH2yvcl94D32vgy+Ir45flF+aj6C/py+uD7VvvP/D78nvzz/Uf9n/35/kv+kf7N/wX/Pf9x/5z/wf/qAB4AXwCiAN0BEAFAAXQBrAHhAg4CNAJZAoQCtwLzAzcDhAPdBEMEtwU2BbcGMAacBvsHWwfDCC4Ihgi1CLoIrQiuCNAJCglFCXUJnwnOCgQKKwooCfQJpAlcCTYJMQk6CT8JOgk0CTcJRQlXCWgJdQmCCZEJpAm1CcMJ0AngCfkKHQpECmYKgQqWCq0KxgrgCvgLDgslC0ALVwtsC4YLuwwYDJINBQ1LDVgNPg0PDMEMLwtICjIJRwjcCPwJUgloCPYIFQciBnEGGAXuBbsFZQT3BIoEKgPXA4oDSQMeAxIDKgNkA70EMQSyBS4FkwXfBhgGRAZlBngGfQZ4BnAGZgZWBjsGFwXuBcMFlwVnBTMFAATSBKkEgQRXBCoD+QPDA4YDRwMKAtUCpAJyAjsCAwHVAbYBnQF8AU4BGQDoAMIAoAB6AEwAHv/3/9b/tP+Q/2v/TP8w/w7+4v6v/oT+Zv5Q/jf+Ff3z/dv9z/3E/bD9lv1+/W/9ZP1X/UT9Mf0i/Q/87Py4/H78SvwV+8v7afsb+yP7pPxy/R39Ovyz+9T7FvrH+ub7Nft8+6z70fv2/BT8GfwE++f70/vM+8P7rPuK+2v7W/tc+2b7dfuL+6j7x/vb++D72PvN+8f7yfvP+9b71/vS+8T7s/um+6T7rfu4+7r7tPuu+7D7vPvL+9T71/vb++X78fv5+/n79/v6/AX8Ffwj/C38OfxN/Gj8gfyT/Jv8ofyo/LP8vPzB/ML8wfzB/MT8x/zK/Mv8y/zK/Mj8yPzM/NL82vzj/Ov89Pz7/P78+fzt/Nz8zfzB/Lv8uvy5/LX8rPyd/Iv8e/xv/Gj8YfxY/E78RPw8/DX8Lfwk/Bz8GPwU/A78A/v1++j72/vN+7z7qPuW+4r7gPt3+2r7WvtM+z77Mfsi+xD6//rx+uP60vq9+qP6iPps+lD6NPoa+gT58/ni+c75tfmY+Xz5YflF+Sf5CPjs+NP4u/ii+IT4ZfhF+Cb4CPfq9873t/ek95L3f/dp91H3O/cl9w/29/bd9sP2rPaV9n32Y/ZK9jL2HPYG9fD12vXF9bH1nfWG9W31U/U79SX1EPT59N70wvSr9Jv0j/SC9HH0W/RG9DX0KPQd9BD0AfPw8+Lz1/PP88nzxPPA877zvPO787vzvvPB88PzxPPH89Dz3fPs8/Xz9/P38/z0CPQU9Bz0H/Qi9Cz0PPRM9FX0WfRe9Gv0fPSF9Hr0XvRB9Dn0V/Sd9QP1ePXq9kj2h/ao9rr2zfbs9xb3QPdl94T3qPfU+AP4LfhI+Ff4Yvhv+ID4lPip+MD42/j7+R75P/lc+XT5ifmZ+an5u/nQ+ej5/voT+ir6Rfph+nT6d/pt+mb6cfqM+qf6r/qi+pT6pPra+x/7Rfsv+uj6n/qG+qn65/sQ+wf62/q0+rL60Prx+vj66/rl+wP7Qft++5L7avsS+qj6Qvnn+Zb5TvkU+O743PjV+NL4zfjF+LX4mfhq+C737ve294v3avdN9y/3Dfbo9r72kvZn9kL2J/YY9hP2FPYR9f/11/WU9T/06fSl9IP0i/S59Pn1MfU99Qn0mfQR86HzbfN285zzt/Ox84zzXvM48x/zD/MA8vDy5PLc8tjy0fLD8q7yl/KI8oLyhvKO8pbyn/Kt8sLy1/Lg8tTytvKS8nnycfJ28nvyc/Jf8kXyL/Ii8h3yHPIZ8hPyC/IF8gPyBPIJ8hDyHPIy8lXyhPK38ufzC/Mi8yrzI/MR8vry5vLe8uPy9fMT80DzfvPG9AP0G/QD88rzlvOK87b0CPRd9JX0qPSh9JT0kPSZ9K30yPTk9Pz1DPUS9RL1FPUd9TD1SvVp9Yz1sPXS9en18/Xz9fX2A/Yg9kH2VvZX9kT2KPYS9gj2CfYR9hf2GvYa9hj2GPYY9hb2EPYF9fr1+vYK9iz2WPaD9qf2xfbk9wj3Nvdu97H4Afha+Lb5Eflo+b/6HfqB+ub7QfuM+8j7/Pwu/GP8lvzF/O79Gf1P/Zr9/f50/vn/hwAbALMBRwHGAh0CRgJSAmMClwL3A3AD3gQtBF4EjATOBSkFjgXmBiUGUwaABrwHCAdaB6cH6QgkCFwImgjeCSgJdAm+CgQKQwp/CrwK/wtIC5YL5AwvDHYMuQz8DUANig3aDi8OhQ7ZDykPdg/EEBUQZxCwEO4RIBFPEYERtxHsEh4STRKCEr4S/xM+E3UTpxPdFB4UZxSuFOwVIhVYFZYV3BYiFl4WkBa8FusXIhdeF5kXzRf2GBMYIxgnGCIYGBgQGA0YERgWGBcYDxgBF/EX5hffF9cXyhe3F6IXlBeOF4wXiReBF3YXahddF0sXLxcKFuMWxRaxFqMWkRZ5FmAWTBY+Fi8WFhXxFcUVnxWGFXoVchVnFVcVRhU5FS0VHRUCFNkUpBRpFDEUARPeE8oTwhPAE8ITyhPaE/UUGBQ+FGEUfRSTFKEUpBSdFJcUoRTKFQ4VXBWbFcEV0hXdFe0V/xYRFiUWRBZwFpwWrRaRFk0V+hWzFYMVYhVCFSAVBhT9FQIVCRUEFO0UxBSJFEAT8hOxE5ETmRO8E+MT+hP9E4cTdxNyE3gTiROlE8kT6xP7E/QT2hO0E4MTQxL2EqYSZxJGEj4SPRIzEh4SBRHrEdARtxGqEbIRyxHgEeAR1BHlEjsS0hNwE8YTqxM7Er4SchJpEoISmxKkEqoSuhLSEucS8hL9ExgTQhNmE2oTQBLyEpkSThIeEg8SHhJEEm8SgxJpEhgRmxEKEH8QBQ+cD0EO8A6sDnoOZQ56DsUPRg/uEJgRGhFdEWMRTBE8EUQRYBF9EYoRiBF7EWoRTxEmEO8QsBBzED0QDA/fD7YPmg+KD4MPfg94D3EPbA9iD0QPBw6pDjENrQ0rDLcMWQwVC+ULvAuNC1MLFwrnCskKugquCqIKmwqpCtALCQtAC2ELYAs+CwIKugpxCi8J+AnJCZoJYgkeCM4IfQg2CAQH6AfbB9IHxAevB5gHhAd0B2UHVAdABysHHAcbBzEHYAehB+IIDAgWCAcH8wfmB9cHrwdbBuEGWQXeBX0FLgTnBKkEfwRrBFwEKQOvAt8BzACb/3b+fv3B/T384vyY/En78vud+1/7RftL+2P7f/uY+637vPu++637hvtR+xn66Pq9+pP6Yfok+dv5iPkx+Nn4hPgy9+D3j/c+9vT2tfaA9lH2IPXu9b71lvV49WL1T/U89Sn1E/T19Mf0i/RI9Avz2vO185Xzb/ND8xPy5vLA8qbylvKL8nvyW/Im8d7xjfE68O/wrvB38EnwH+/v77fveO9C7yPvH+8v70fvZe+S7+DwVPDe8WPxxfH08e/xw/GD8UfxI/Eg8TjxXfGD8abxyvHy8hnyNvJA8jTyF/Ht8bzxiPFY8TTxF/D78N/w0/Dv8Tjxj/G68Y/xG/Ce8GXwiPDX8Pjwp+/g7tjt0+z07DvrlOr96obqReo86lPqaeph6jrqAunR6bTppemP6Vjo9uh45/7nrOeL55DnoOep56XnnOeP53nnVOcn5wXnAucm52LnnufJ597n4ufb58vnsueU53nnZ+de51jnVOdU52DnfOei583n++gw6Hboyukk6XXpsuna6fXqCOoY6iTqLOov6jHqMOot6irqLOo06kTqWup16pPqturc6wLrJetG62vrnevd7CXsauyk7NTtAu037XPtse3q7hvuS+6C7sTvEe9m777wGPB18NPxMfGK8d7yL/KB8tnzN/OY8/T0RPSJ9Mr1EPVg9bv2GvZ29s/3Jfd+99j4MfiH+Nz5M/mN+en6SPqs+xj7jvwE/G/8yP0S/Vb9mv3a/hP+Rv59/sL/E/9j/6b/1wAEADgAdgC2AO0BGQFEAXUBrAHgAgsCMQJZAooCxAMEA0sDnQP/BHIE7wVwBfAGawbdB0MHnQfuCDgIdgiiCLwIzgjpCRgJVwmZCdQKBgoyClMKXAo8CfUJmQlHCRII/Aj4CPgI+Aj8CQcJGQktCT0JSQlXCWsJiAmoCccJ4Qn6ChYKOgpiCoUKoAqzCsYK3wr8CxcLLgtDC1kLcAuHC6kL5wxLDMoNPQ1+DYANVw0cDMkMNQs/Cf4IyggFB9YIBwgpB+kHQAZsBbgFPwTuBKEESgP1A7UDkQODA4EDjgOvA+gENQSSBPkFZAXJBhkGUAZvBoMGlAagBqMGmgaJBngGaAZTBjUGDQXhBbQFgwVMBRIE2gSqBIAEVwQrA/wDygOTA1UDEgLTAp4CdAJKAhgB4AGvAYsBcAFRASUA8wDGAKEAfwBWACX/9f/Q/7P/l/9z/0r/J/8I/un+wv6W/m/+U/48/iH9/f3d/cn9wf23/aD9f/1j/VL9R/0z/Rf9APz3/PP83fyp/GL8IPvr+7P7a/sq+yX7iPw4/Nb8+vyA+6v67/qh+sT7G/to+5X7svvR+/D7/fvv+9H7t/up+6P7mPuF+3H7YftW+0/7TvtZ+3H7kPuq+7n7vPu6+7r7vfu/+7/7uvuw+6H7j/uC+377gvuJ+4z7ifuI+5D7ofu1+8P7yfvN+9L71/vb+9374fvr+/n8BvwO/BT8Hfwu/EP8Vvxi/Gv8dfyB/I38lPyU/JH8jvyQ/JX8nPyi/Kf8qfyn/KP8oPyg/Kb8r/y5/MP8zPzT/Nb80vzJ/L78s/yq/KP8nfyY/JP8i/x+/Gz8WvxK/D38Mvwm/Br8EvwO/Av8BvwA+/n79vv0+/D75/vb+9D7yPu++6/7mvuE+3L7ZftZ+0r7OPsm+xj7C/r9+u363frN+r/6rvqY+n/6ZPpI+i36Evn5+eX51fnG+bP5nPmD+Wr5Uvk5+Rr4+fjY+Lr4nviA+F/4Pvge9//34ffD96X3i/d292X3VfdB9yn3EPb29tz2w/aq9pH2efZh9kn2MfYa9gT18fXf9c31uvWl9Y/1ePVh9Ur1MvUb9QT07fTV9Lz0ofSK9Hb0aPRc9E70PfQr9Br0DfQE8/rz7/Ph89Lzw/O386/zqvOp86fzpPOg857znvOh86XzqfOw87vzzPPb8+Pz4/Pi8+fz9PQC9An0B/QC9Ab0FfQo9DX0OPQ39Dn0QfRH9ET0NPQj9CD0OPRv9MH1KPWW9fv2SPZ59pP2qfbG9u33F/c99133f/en99T3/vge+DT4RfhU+GP4bvh7+JD4svje+Qn5Kvk++Uz5XPl1+Zb5vPng+f76E/og+in6NPpC+k/6VPpN+kL6PvpG+lT6WvpT+kn6Ufp4+rH62vrY+qj6bPpO+mD6kPq1+rH6i/pm+mX6iPqz+sf6wPq4+tH7FPtk+5P7f/sn+qb6H/mn+Uf5AfjT+Ln4rPil+KD4nvic+JT4e/hQ+Bb32/eq94X3Z/dK9yv3Cfbl9r/2l/Zy9lX2QfY29i/2JvYU9fD1s/Vd9Pz0qPR59Hn0o/Te9Q71GfTx9Jf0IvO283LzY/N585Pzl/OA81vzOvMm8xnzDvMA8vXy8PLw8u/y5/LY8sfyufKy8rDyrvKo8p7ylvKX8qbyv/LX8t7yzvKr8oPyY/JP8kPyOPIq8hnyDPIH8gvyFPIe8iPyJfIn8ivyMvI78kbyVvJx8pjyx/L38x/zPPNP81fzUfM98x/zAPLt8u3zAPMn817zofPk9A70DfPh86Xzf/OM88v0HvRg9H30dvRf9E30SfRV9G30jPSt9Mr03PTj9OL04fTm9PX1DvUw9Vf1f/We9bH1t/W89cv15vYE9hT2CvXn9br1mPWL9ZT1qPW79cX1x/XD9b/1vPW69bj1tvW09bf1xvXj9gn2MvZW9nP2j/av9tn3DPdI94z32vgv+If43Pks+Xv50Pot+o/67Ps9+4L7vvv4/DP8bPyh/NL9AP00/XT9xP4k/pT/Ef+ZACcArwEfAWcBiQGbAb0CCAJ7AvwDagOyA94EBwREBJoE/wVfBbAF9QY3Bn0GxwcRB1YHmAfYCBoIXgikCOsJMQl3Cb0KAgpFCocKzAsWC2QLtAwCDEwMkQzTDRcNYA2vDgQOWw6yDwUPVg+lD/UQQhCJEMYQ/BEuEWERlRHKEfwSLxJnEqYS6BMnE14TkhPJFAoUUBSVFNMVDRVJFYwV0xYXFlAWgRavFuAXGBdRF4cXthfbF/cYChgTGBIYCxgDF/8X/xgCGAIX+xfsF9kXyBe7F7IXpxeXF4IXbhdfF1cXUhdMF0EXMRccFwQW6RbMFrAWmBaEFnIWYRZQFj0WKRYPFewVvxWLFVwVOxUsFScVIxUYFQcU9BTiFNAUuRSaFHIURxQdE/kT3RPLE8ITvRO4E60ToBOXE5sTrRPKE+oUCRQoFEIUVBRYFFcUYRSKFNUVMhWFFbsV0xXfFewV/xYTFiMWNRZOFmkWdhZkFjEV7BWqFXUVSRUgFP4U7BTyFQkVIRUpFRsU+BTFFIEUMxPoE7ITnBOgE6sTqhObE1oTUBNQE1gTZBN1E4sTohOvE6wTmRN6E08TExLGEnYSNhITEgkSBxH/Ee0R2RHIEbkRqhGdEZ4RrhHDEcsRyxHdEiASlhMVE2ATUxL/EpoSWhJMElsSaxJyEngSiRKjErwSzBLcEvgTIhNPE2kTYxM6EvgSsRJ5EmMSdRKmEtgS6RLCEmER2BFCEK8QKA+tDz8O2w6CDjYOAw38DjkOww+GEFcRARFkEYMRexFwEXURhBGPEYgRcRFUEToRJxEXEQYQ7xDPEKIQZxAmD+4PyA+zD6gPmw+ND4MPgA97D2UPMg7jDoAOEw2hDS8Mxwx0DDsMFQvwC78LhAtUC0ALSgtkC3wLjAudC7wL6gwYDC0MGAvZC4ILKgrjCq8KhQpcCioJ7AmjCVII/QitCGoINwgRB/QH2gfGB7cHrQehB44HdgdgB1IHUAddB4IHxwgsCJsI9QkcCQ0I3wisCHsIPQfXB0IGkAXfBUMEvgRMA+8DtwOvA84D8APnA4cCwQGhAFH/B/31/TL8tPxY+/r7jvsm+t/6zfrp+x37Uvt9+6L7wPvR+8v7qftz+zj7B/ri+sT6o/p4+j359fmi+Ur48vib+EP36PeK9y723faY9l72J/Xw9bv1i/Vk9UP1JvUK9PH02fS+9Jj0Z/Qx8/7z1vO285TzafM08vzyyvKj8onyePJr8lryPPIO8dHxi/FH8Qjwz/Ca8GbwMu/978bvkO9h70HvM+8170XvY++Y7+zwXPDU8TvxdvF48Ubw8vCV8EvwJ/Av8FnwlfDX8RnxWvGZ8c/x+fIW8ijyMPIo8g7x6vHR8dXx8/IW8ifyJPIe8iTyKvIH8Zbw3/Ae75jvbO9z71/u7+4c7RLsDus06obp9+l/6Sbo9ejp6PHo8+je6LDoc+g46A/oAOgB6APn9OfR56fnieeF55nntufN59fn0Oe555PnZ+dF5z/nXueY59Tn+ugD5/bn5OfU58nnvuey56jno+eh55vnj+eD54HnlOe75/LoL+hv6LbpBOlV6aPp4uoO6ifqMOow6izqKOom6ibqJOoi6iDqIOon6jTqSOph6n7qn+rB6uLq/+se60Prduu36/7sQOx27KHsyez57TLtb+2n7dnuDe5O7qXvEe+H7/rwY/DA8RTxYvGr8fPyQfKb8wXzd/Po9Ez0ofTr9TP1gvXY9jT2j/bn9z33lPfr+EH4kvjf+Sr5evnQ+iv6ivru+1r7zvxA/KX89f0w/WH9jf22/dv+A/49/pH++/9m/73/+gAoAFkAlADQAQMBKwFSAX8BsQHfAgQCJQJPAoYCxwMNA1gDsAQeBJ4FJgWsBi4GrQcmB48H3wgUCDoIXgiHCLII3QkICTsJfAnJChoKYgqVCqcKjwpLCecJfAkiCOcIzQjICM4I2wjuCQcJIwk9CVMJZQl4CZEJsQnWCfkKFQosCkYKZwqNCrEKygrcCu0LAwscCzILQwtTC2sLjgu3C+YMIwx5DOUNTQ2QDZ8NhA1SDQYMfwuXClMI9gffB0cHHwccBvAGgAXmBU0EzARfA/4DrAN3A20DiAO7A/oERQScBPwFXAWzBgAGQgZ4Bp4Gsga8BsQGzgbTBswGtQaVBnYGWgY9BhoF8gXIBZwFagUwBPMEugSJBF4ELwP6A8IDjQNaAyMC5gKpAnUCTQInAfkBwwGOAWcBSwEvAQoA3ACvAIcAXwAx//3/zv+s/5T/ef9U/yn/BP7o/s3+qv6B/lv+P/4p/g396/3N/bz9t/2s/ZH9bf1Q/UL9Nf0b/PP80vzK/NH8yfyZ/E38BvvY+7X7gvtH+zT7gPwl/ND9EPyw+977D/qi+qz6+ftH+3b7k/uz+9f77fvp+877rfuV+4f7f/t2+237ZPtZ+0z7QftA+037Y/t4+4n7lfuh+637tvu1+6z7n/uU+4n7fvtz+2z7avtt+3H7dft7+4X7lPul+7L7vPvC+8b7yPvJ+8r70Pvc++j78Pv0+/b7/vwM/Bv8J/ww/Dr8SPxZ/Gf8bPxq/GX8ZPxm/Gz8cvx4/H38gPyA/Hz8efx4/H38hfyO/Jj8ovyr/K78rfyo/KL8nfyW/Iz8f/x0/Gv8YvxV/EP8MPwg/BP8CPv9+/L76/vq++z76/vo++T74vvh+9370vvD+7j7sfuq+5z7hPtp+1L7Qvs1+yb7FPsB+vP66Prc+sz6u/qr+pz6jfp5+mD6Rfop+g358fnY+cP5tPml+ZP5ffll+U/5Ovki+QX44vi++Jz4fPhb+Dn4F/f399r3vveh94T3afdV90T3NPci9wr27vbR9rX2mvaA9mf2TvY29h/2CvX39eX10/XB9a71mfWC9Wn1UPU59ST1D/T59OD0yPSy9J30ifRz9F70S/Q89C70IfQS9ALz9PPp8+Hz2PPN88DzsPOh85bzkPON84zzivOH84XzhPOH84rzjvOV86HzsfPA88fzxvPE88jz1PPi8+fz4vPb893z7PQD9BT0GPQT9A70DvQQ9A30AvP48/v0E/RD9If03fU+9aT2AfZL9oD2pfbE9uP3APcZ9zH3Tfdz96D3y/fu+An4IPgz+ED4R/hM+Fr4efim+Nb4+vkR+SH5NvlW+X75p/nM+ev6AvoO+hD6DPoL+hD6F/oX+g35/Pnv+e/5+foF+g/6Gfoq+kL6V/pa+kf6Lvon+kD6b/qR+o76aPpC+j36Zfqi+s/63frd+uz7Hftc+4L7bPsU+o/6APmA+R342Pir+JD4f/hz+G34bPht+Gb4Tvgi9+33u/eW93r3YPdC9x72+fbS9qr2g/Zi9k32QvY79i/2GPX09cD1e/Up9Nf0nPSK9KH0zPTu9Oz0vfRq9Afzq/Ns81PzWvNr83HzYfNE8yvzH/Me8xzzEfMB8vTy8vL08vby8vLp8uLy3fLY8s/ywPKt8pvyjvKL8pXyrPLJ8t3y3fLE8pjyZfI58hnyBfH38e7x6PHr8fjyDvIl8jfyQvJJ8lHyWvJl8nLyg/Ke8sXy8vMc8zvzUPNb817zVPM98xvy/vLy8wDzJPNU84nzu/Pe8+XzyfOV82nzZPOU8+b0NfRh9F/0P/Qc9Ab0BPQT9C70UvR49Jn0rvS29LX0s/S19MD01fT09Rn1PfVZ9Wr1d/WI9aX1xPXX9c31o/Vm9TD1FPUa9Tf1XPV49Yb1iPWF9YH1gPWA9YL1g/WH9ZL1p/XG9ev2EPYx9k/2cPaZ9sr3Avc+93z3wPgJ+FT4oPjp+TP5hPne+jz6mfrt+zj7e/u8+/v8Ovx2/K784/0Y/VD9kv3f/jv+p/8g/50AEwBzALYA4gENAU8BtAIzArMDGgNgA4wDswPoBC4EgQTaBTQFjwXpBj8GjAbQBw4HTQeRB9oIJAhsCLAI8gk2CX0JxwoSClwKpQrwCzwLigvXDCEMaAytDPINOw2JDd4ONQ6NDuIPMw+AD8wQFRBcEJsQ1REJETwRbxGkEdkSERJMEosSzBMKE0MTeROxE/AUNBR6FL4VARVEFYkVzRYLFkEWchakFtgXEBdHF3kXpBfJF+YX+xgFGAYX/hfyF+gX5BflF+cX5RfYF8IXqReTF4YXfRdzF2MXThc6Fy0XJhciFxcXARbkFsUWqhaWFoUWdRZjFlAWPhYsFhcV+BXMFZQVVxUgFPgU4xTbFNgU0RTFFLUUpRSVFIIUaBRHFCQUAxPoE9ITwBOzE6wTqROkE5YTgRNtE2YTbhOCE5cTqxO/E9cT7hP/FAoUGxRHFJcU/hViFagVzBXdFe0WAhYVFh0WHRYeFiYWLhYoFgoV2RWfFWcVMhUCFN4U0BTeFP8VHhUsFSIVBBTYFJ4UWRQPE88TpxOUE4sTfxNsE1wTWhNiE2wTchN0E3UTdhN0E2kTVRM3ExAS3RKdElgSHxH+EfIR7RHfEcgRshGmEaMRoBGYEZMRmBGnEbgRxRHbEgsSXBK5EvoTAhLREooSURI4EjcSPhJEEk0SXRJ0Eo4SphK+EtkS9xMUEycTLBMeEv8S1BKsEpgSoxLGEugS7BLCEm4R+xF3EOkQVA/CDz8O0A5xDhsN1A21Dd0OXQ8jD/wQtREsEWQReBGCEY4RlRGKEWwRQREYEPsQ7xDuEPMQ8xDkEL8QhhBHEBEP7g/YD8UPrA+TD4MPfg94D2EPLw7pDp8OWA4SDcYNdQ0tDPkM1wy3DIgMSgwVDAEMFgxDDG0MggyGDIwMnQyyDLIMiAw0C84Lcws2CxEK8grECoQKOwn1CbgJgQlJCQ0IywiICE0IIggNCAoIDAgEB+wHygevB6MHpQezB9MIFQiECQ8JjQnSCc0JlQlPCRAIzwhvB94HJAZaBZgE5wREA7UDSwMXAx8DUQOEA4YDKwJhATn/5f6i/Z382/xD+7L7HvqZ+kf6O/pt+sD7FPta+5H7u/vR+877rvt8+0X7F/r2+t/6yfqu+oX6Svn++aX5Sfju+JP4NffQ92n3Cva39nP2N/X99cT1kPVk9UD1HvT99Nv0uvSZ9Hb0TvQi8/jz0/Ov84fzWPMj8vLyyvKt8pjyhfJw8lbyNfIL8djxnvFk8Snw7fCv8G/wNPAB79fvse+J717vM+8S7wvvKu917+TwYvDP8QzxB/C+8Ebvv+9O7xDvEe9G75vv+fBV8K7xBfFX8Zvxz/H38hnyNfJD8jryI/Ia8jryh/Lj8yPzLfMD8rnyV/HN8Q3wG+8h7lTtzO117RzsmOvj6xnqXOnA6UPo3eiM6FHoLegX6APn6OfD55bnZuc55xfnCucT5yznSOdc52rnfOec58rn/egl6DjoMegS5+bnu+ej56nnyefx6AvoCefu58rnreee55znn+el56/nvOfI58vnw+e157Dnwufv6DLofejE6QXpQumA6cHp/uos6kTqReo26iHqD+oG6gbqDOoT6hrqIuoq6jbqRepY6m7qiOql6sXq6usU60Tre+u26/PsKuxZ7IPsrezg7RvtWu2U7cnuAe5N7rbvNu+78DDwjPDQ8QfxPfF38bryDvJ38vXzffQB9HX02fUz9Y716fZE9pr26/c895L37vhJ+J345vkm+Wf5sPoE+l/6vfse+4f79vxj/MD9A/0u/Uz9af2K/a/93P4e/nz+8v9r/84AFQBHAHkAsQDqARoBPwFiAYwBuwHmAgYCJQJPAooC0gMdA2wDyQQ+BMcFVgXdBlwG1wdNB7QH+wghCDYIUwiDCL8I+QkqCVgJlAnlCkMKmQrQCtUKpApFCc4JWgkACMsIuQi9CM0I4gj6CRcJOAlZCXgJlAmuCcoJ6AoICiUKPQpSCmoKigqwCtUK8AsECxYLLAtDC1ILWQtkC4ALtAvzDC8MZgyjDPENSg2WDb4NvA2cDV4M7AwmCwEJoQhRB1IGuAZkBiEFywVbBN4EYgPzA5wDbgN1A68ECwR0BNwFQwWoBggGWAaRBrcGzwbgBusG7wbwBvQG+Ab2BuQGwQaXBm4GSQYkBf0F0wWrBYEFTwUVBNYEnQRuBEEECwPKA4gDUAMjAvkCxwKPAlsCLwIHAdoBpgFzAU0BMgEYAPUAyQCaAG4AQwAT/+D/s/+R/3b/V/8u/wX+5f7Q/rr+mf5u/kX+Kf4U/fv92/29/az9pP2X/Xr9VP03/Sz9Iv0I/Nz8tfyp/K/8qPx6/DD77/vM+7j7kvtc+037pfxp/UH9q/1d/Hn7d/rO+qn63/sp+137fPua+7z71vva+8b7qPuL+3b7aPtf+1v7WftU+0n7Pfs4+zz7SftW+2H7bvuA+5T7ofuh+5X7h/t++3z7eftx+2b7XPta+1/7aftz+337hvuO+5j7ovur+7L7tfu2+7n7v/vI+8/70vvS+9b73/vt+/n8APwF/A38G/wu/Dz8Q/xE/ET8RvxK/Ez8TfxO/FD8VPxW/FX8VPxU/Ff8XPxk/G78evyF/Iv8jPyJ/Ib8gfx5/Gv8WfxJ/Dz8M/wm/BT8Avvz++v75vvg+9j70vvS+9X71/vU+9H7zvvL+8T7t/uo+5z7lvuQ+4L7aPtJ+y/7HvsS+wT68/ri+tT6yPq7+qv6mPqI+nn6a/pZ+kL6KPoN+fH51fm7+ab5lvmH+XX5X/lI+TH5HPkE+Of4xfih+H/4X/g/+B33+/fb97/3pPeK92/3V/dB9y/3HPcH9u720vaz9pb2e/Zh9kf2LfYU9f/17fXe9c31ufWj9Yv1cvVY9T31I/UN9Pr06PTS9Ln0n/SL9Hv0bfRc9Ej0MvQf9BD0A/P18+bz2PPM88PzufOv86LzlPOF83nzcPNs82vza/Nq82nzavNs82/zc/N584PzkvOh86rzqvOo86nzsvO788DzvPO487zzzvPm8/bz+vPz8+vz6fPn89/z0PPB88Dz1vQD9ED0jPTn9VL1xfYu9n/2s/bO9tv24/bu9v/3HPdG93b3pPfJ9+P39/gJ+Bb4G/gd+CX4Pfhk+JH4uPjY+PT5FPk4+Vz5e/mV+a75yPnb+eD51vnH+b/5wvnI+cL5r/mY+Y75nfm9+eD5+foH+hD6GPod+hz6Gvoi+j/6afqH+oP6Xvo1+i/6X/qy+wP7NftK+1f7b/uL+477Xvr5+nP56flz+Rj41vim+IP4afhW+Er4RPhA+DT4F/fq97n3kvd492b3Uvc19xH26vbC9pj2bvZL9jX2KPYc9gX14/W49Yj1U/Ua9OT0w/S+9M/03vTR9Jz0SfPu86HzbPNT807zUvNR80PzKfMR8wbzC/MX8xvzE/MD8vby8vLz8vXy9vL48vvy+/Lx8tvyv/Kl8pXyjvKQ8pfyp/K98tTy3fLP8qXyavIu8gDx5/He8d/x5fHw8gXyI/JE8l7ybPJx8nPyePKA8ovymvK08tjzAfMm8z3zRvNE8zvzKvMQ8vXy5/Lz8xfzR/Nz85LzoPOd84nzZ/NG8z3zX/On8/z0OfRI9C/0BPPh89Dz0vPh8/v0H/RH9Gv0gvSK9If0gvSA9Ib0lvSy9NX0+fUY9TD1RfVe9Xr1jPWF9V/1IfTh9LT0qfS99OP1DPUs9T/1R/VK9Uz1T/VT9Vf1XPVj9XD1hvWj9cb16fYN9jH2WvaK9sD2+Pcx92v3pvfl+Cb4Z/iq+PH5PvmT+e36R/qc+uv7NPt6+7/8A/xF/IX8wPz2/Sz9Z/2r/f3+XP7D/yz/jv/hACgAagC2ARUBhwICAnICzgMSA0gDeQOtA+UEIwRsBMMFJwWSBfcGTQaUBtMHEwdXB6AH6ggxCHYIugj/CUcJkwnhCi8KfArGCxALWwumC/IMPAyFDM4NGA1mDbcOCw5hDrQPBA9RD5sP5BArEG4QqxDhERQRSBF9EbUR8BIsEmoSqRLnEyITWxOVE9MUFxRhFKwU9xU/FYMVxBX/FjUWaRacFs8XBBc3F2gXlRe9F9wX8Bf3F/MX5xfYF8wXxxfJF84XzhfEF64XkBd1F2MXWRdRF0QXLxcYFwcW/hb3FukWzhaqFocWbhZjFl8WWRZOFj0WKRYRFe8VvhV+FTgU9xTIFKwUoRSdFJYUixR8FG4UZRRbFEwUNRQXE/kT3hPJE7QTnhOME4ATexN3E20TXRNOE0cTSxNSE1UTUxNVE2QTfhOZE64TxxP3FEoUvBUvFYcVuRXRFeIV9BYDFgUV/BXyFfIV+hX9Fe4VxxWRFVUVHRTtFM4UyRTeFQMVJBUvFSEVARTYFKcUbBQpE+kTuRObE4oTehNpE3YTbhNyE3oTehNvE14TTBM8EykTEBLyEtASqRJ7EkgSGhH+EfMR7hHfEcQRpxGYEZoRoRGgEZYRjBGQEaQRwRHlEhESSxKOEsUS2hLEEpESWRIwEh0SGhIfEiYSLxI9ElESaxKKEqcSvRLJEs4S0hLXEtgS0RLDErgSuRLCEsYSuRKVEl0SEhGtESkQiA/iD04O2Q55Dh4NyQ2VDacOFA7JD5YQRxDFERIRRBFnEXwRehFeETERAhDfEMoQwRC8ELcQrBCYEHgQTxAnEAkP9w/oD9APrQ+LD3QPaA9cDz4PCQ7LDpkOfA5oDk4OIg3vDcQNpg2LDWUNMg0EDPMNCQ02DV0NZw1VDTsNKg0hDQsM0wx3DBALuwuKC3ALUgsXCsIKaAojCf4J7QnaCbIJcAkgCNcIqQifCK8IwQi/CKUIgQhoCGIIZghmCGgIhQjVCVEJzgobChwJ5AmaCVoJIgjWCGIHxQcRBlkFoQTpBDMDjAMJArwCqgLFAuoC6QKUAdYAwP+C/k/9QvxZ+4T6vfoY+bP5ofnZ+kD6tfsg+3X7rfvF+777n/tz+0b7IvsH+vP65PrU+rn6i/pE+ej5g/ke+L74X/f795L3LfbT9on2SvYP9db1o/V59Vf1N/US9Oj0u/SQ9Gj0QfQY8/DzyPOg83TzRPMW8vHy2fLK8rvyo/KD8l/yOvIV8e7xwfGN8VPxEfDK8ILwP/AL7+TvxO+c72TvIe7n7tLu9u9T79TwUPCf8KLwT++47wHuWe3s7dHuB+5z7vPvb+/i8FPwzPFE8azx9vIm8kbyXvJp8mDySvJC8mPyt/Mh83LzgfNE8sfyHPFM8FnvSu457UHsdOvM6zfqqOog6anpRujy6KPoWegY5+fnw+ei53vnUOcm5wTm5+bL5rLmouak5rjm1+b35xXnN+dj553n3egV6DzoS+hF6DHoG+gP6A/oFugW6APn3uev54bnbudp53LnhOeb57Xn0efo5/Tn9Oft5+rn+Ogd6Ffomujb6RPpRul56bLp6uoa6jbqPOov6hrqCOoA6gTqEeoh6jDqOeo+6kPqTOpa6mvqgOqY6rfq4esW61HrjuvJ7AHsNOxk7JPsxOz87Trtee207evuKu5/7u/vcO/p8EPwePCW8LPw3PEV8WDxvfIv8rfzSvPb9F701fVG9bT2HPZ29sL3BvdQ96j4Dfhz+M35F/lW+Zb53vou+oP62Psv+4379Pxa/K/85/0E/Rb9L/1Y/Y39y/4W/nT+5P9a/8IAEgBRAIkAwwD5ASMBRAFmAZMByQH7AiICRQJxAq8C+gNJA5sD+QRsBPAFdgXxBmEGzwc7B5sH4QgKCCkIVgicCO4JNwluCZgJygoOClwKoQrFCrsKgAofCawJQAjwCMgIwwjTCOkI/gkTCSsJSQltCZAJsAnLCeMJ+woVCi4KRgpcCnUKlgq9CuQLBAsfCzgLVAttC3sLfwuHC6QL3AwjDGIMkgy9DPkNTA2kDeQN+Q3mDbMNWQy+C8kKhAkcB9QG2gYzBcIFXgTxBHkEBAOpA38DlAPnBGQE8QV0BeIGQAaQBtMHAQcaByEHIgcjByMHIQccBxYHDAb6Bt0GtQaKBmEGOgYQBeMFtAWIBV0FKwTxBLMEfQRQBCQD7AOnA2ADJgL+AtwCswJ/AkcCFgHrAcABkQFjAT0BIQEEAN0ArQB8AFAAKP///9P/qf+E/2H/Of8M/uT+yf66/qf+hP5W/i3+E/4C/ez9zP2q/ZT9if16/Vz9NP0X/Qv9Bfzw/Mr8pPyT/JD8gPxP/An7z/uy+5/7e/tP+1v74fzd/eT+Zv4N/QH7yfru+qf60Psc+1b7d/uP+6b7ufu9+7H7m/uC+2v7VftG+0D7QftC+z37Nfsv+zL7O/tF+0z7U/th+3P7g/uI+4H7ePtz+3b7eft1+2f7V/tO+077V/ti+2r7bvty+3f7fvuH+4/7lfua+6H7qfuw+7T7s/uz+7j7xPvT+9774/vl++r79fwE/BH8Gfwf/CX8Kvwu/C78K/wp/Cv8Mfw2/Df8Nvw0/DP8Nfw6/ET8Ufxg/Gn8bPxq/GX8XfxS/EH8Lvwd/BH8CPv8++v72PvL+8f7x/vG+8P7wPvA+8P7w/u++7b7rvun+537j/uC+3n7d/tz+2b7Tfsv+xT7A/r3+ur62vrJ+rr6q/qb+oj6dfpk+lX6R/o0+h76Bfnr+dP5uvmj+ZD5gfly+WH5S/kz+Rv5Bfjs+M74rfiL+Gv4TPgt+A337PfN97H3l/d992T3TPc09xz3A/bp9s72sfaV9nj2XvZE9iv2EPX29eH10fXD9bL1mvV+9WD1Q/Un9Qz08vTd9Mz0u/So9JD0ePRl9Fj0TfQ+9Cr0FPQA8/Dz4vPU88Xzt/Oq85/zk/OG83jza/Nf81TzTPNI80fzR/NH80fzSfNL80/zVPNb82Xzc/OD84/zlPOV85fzm/Oh86XzpPOk86zzvvPS893z2/PS88vzyvPI87vzofOF83nzifOz8/D0PPSa9Q71kfYM9mn2mvan9qT2pfa09tH2+vcr9173jPet98H3zPfV99735/fv9/r4Dvgt+FL4ePic+MD45vkL+Sj5O/lK+V75evmV+aH5mPmB+W75aflw+XP5avlZ+VD5XvmG+br57foY+jz6XPp0+nz6dfpt+m/6fvqH+nX6SPob+hb6T/q4+yj7e/um+7n7xvvH+6n7Wfrd+k/5zfln+R345fi3+JD4bvhS+Dv4Kvga+AP34fe094j3ZvdS90X3M/ca9vr21/az9ov2YfY79hv2APXj9cH1nvWA9Wn1UPUu9QT03vTI9Lz0p/R69DTz5vOn84HzbvNj81fzRvMz8x3zB/L38vPy+vMG8wzzCfMB8vny9/L48vvzAPMK8xLzEvMB8uDyu/Kf8pPykvKV8pfynPKp8rzyzPLH8qTyaPIm8fTx3fHf8e/yA/Ia8jbyWfJ98pbynfKW8ovyhfKF8ozymfKu8tDy9vMX8yjzJ/MZ8wTy7PLV8sjyzvLt8xvzRfNc81nzRvMt8xjzDPMP8y3zaPO08/f0F/QN8+nzw/Os86XzqvO188rz6/QT9Df0TfRQ9Ej0PPQ09Db0RvRk9I70vfTo9Qv1J/U79UP1NfUO9NL0k/Ri9E30U/Rs9Iz0rvTN9Oj0/PUK9RP1GfUe9ST1LPU49Un1YPV+9aD1xfXs9hX2QfZx9qP22PcP90j3g/fA9/34Ovh3+Ln5APlP+aP5+fpN+p766/s2+4D7yvwT/Fj8mPzS/Qr9RP2H/dX+LP6G/t//Mv+B/9EAKgCOAP0BbgHYAjICfwLFAwoDTAOIA7wD7QQmBHIE0gU+BacGBAZVBp4G5AcpB20HsQf2CDwIhQjOCRgJYwmwCf4KSgqUCt0LJQtvC7wMCwxaDKcM9A1ADY0N3Q4vDoEO0Q8fD2kPsQ/3EDoQeBCxEOcRHhFXEZERzBIIEkUShRLGEwUTQhN+E70UAhRPFJ4U6xUzFXYVthXzFi0WYhaSFsAW7hcfF1EXghesF8oX2xfeF9cXyhe+F7YXtBe2F7gXtBeoF5MXehdiF08XQhc1FyMXCxbxFtsWzRbCFrAWlBZvFk4WORY0FjgWORYyFiIWCRXmFbUVdRUsFOUUrRSLFHwUdhRwFGUUVRRFFDsUNhQzFCsUGxQCE+YTyROsE44TbxNTE0ATNRMuEyYTHBMVExYTGxMdExQTBBL6Ev8TEhMpEz4TWROQE/AUchT6FWYVqBXHFdUV3xXmFeQV3BXVFdoV5xXxFeYVxBWQFVYVIRT4FOEU4RT4FRkVMRU0FSAU/xTcFLcUihRRFBUT4xPDE68TnhOJE6cTjROCE4ATdxNhE0ETIBMEEuoSzRKuEpISeBJdEjwSGBH8EfAR7RHlEc0RrhGZEZcRoBGhEZMRfRF3EY0RvhH6EjQSahKcEsUS2BLKEpwSXhInEgUR+RH6EfwR+hH5Ef8SEhIyElMSaxJ3EnwShBKVEqsSvxLLEs8SzhLGErQSlxJ2ElQSKRHkEXIQ1hApD4sPCA6ZDi4NyQ2HDY0N6Q6FDzQPzhBEEJ4Q5xEfETkRLxEJENwQvBCxELIQrhCdEH4QWhA2EBcQAQ/0D+8P7A/hD8cPoA96D18PTQ86DxcO5A6yDpQOkw6fDqIOjQ5lDj0OIw4WDgoN+Q3pDecN+g4aDi8OKA4DDdENpA1/DVYNGQzEDGoMJAv8C+ULwAt3CxAKqAphCkcKSwpOCjcJ/wm2CXcJWwlnCYsJqQmqCZEJcwlnCXAJegluCU0JOAlRCZ4J/go9Cj4KCgnCCYIJTQkQCLoISQfGBzcGmgXsBSsEXgOVAuQCYQIeAhgCLQIoAdIBFAAB/sT9iPxm+2H6e/nB+UX5Gvk/+ab6MPrA+zn7iPuo+6D7gPtZ+zb7G/sD+vH64/ra+sz6rfpx+hj5rfk9+NT4cPgO96r3R/bs9p/2XfYi9ez1vPWU9XP1UvUr9Pv0x/ST9GP0NPQH89vzs/OO82bzPfMU8vXy4/LY8sjyqfJ+8k/yKvIR8fzx4fG58YXxSfEG8L7wdfAx7/Xvv++I70jvA+7L7rnu3u8z75rv5+/z76rvFe5R7Yzs9eyv7MbtLO297lTu4O9n7/rwo/FT8ezyVvKO8qTyq/Kq8qDyjfKA8o3yuvL28yHzF/LL8kDxhfCo77Luq+2g7J7rr+rW6hnpgukY6NjoseiM6FjoF+fX56Xnfudb5zPnCebl5snmseaW5nfmXuZW5mPmfeab5rbm0ebz5x/nUueF57Hn0ufm5+7n8Ofu5+fn2Oe955bnaudC5yrnI+cv50rnbeeV57rn2efw6ADoCugS6BvoKuhA6GDoh+ix6N7pDOk86W7poOnM6e7qAeoH6gTp/+n+6gjqG+oy6kPqSupH6kLqRepT6mjqgOqX6rTq3esV61jrnuvh7B/sWeyS7MntAu097Xrtt+3x7irubO7C7yzvmu/z8CXwNvA98FTwiPDT8SvxjfH88n3zC/Ob9CP0o/Ug9Zj2BfZe9qL23vcl94L38vhm+M75Jvly+bz6CPpV+p764vso+3j71vw1/IT8tPzI/NP87v0k/W/9wP4R/mf+yP8x/5n/9ABBAIQAwADyARgBNwFdAZQB2QIeAlcChgK4AvgDRAOWA+oERQSsBRsFiAXqBkUGogcGB2MHrQfjCBcIXgi/CSkJhQnGCfQKGwpFCmsKgwqCCmYKMAniCYcJMQjyCNcI3AjzCQwJIAkxCUcJYgmBCZ8JuAnMCeAJ+AoUCjIKUApsCokKqQrOCvQLFgs0C1MLdAuSC6gLsgu8C9QMAww9DHQMnwzJDQkNZA3KDhkOOg4vDggNxw1XDJYLdAoRCKsHgAamBgkFgQTzBGED6QOsA74EGQSpBUsF4gZeBrkG+wcrB0wHXgdgB1oHUgdOB0sHRAc3ByIHCAbmBr8GlgZvBksGJQX3BcMFjAVaBSwE+wTEBIoEVAQoA/8DzQOOA0wDFALrAsgCngJqAjEB/wHVAa4BhAFaATQBEgDuAMEAjQBbADIAEP/v/8r/o/99/1X/Kv76/tH+tv6k/o7+af49/hf+A/33/eP9wP2Z/Xz9bf1e/UH9G/z7/Oz85fzU/Lb8lvyC/HX8W/wn++X7sPuP+3D7RPsl+1b8Df0r/jb+nP4Y/Of7nfrC+ob6u/sT+1b7ffuU+6X7r/ut+6H7kPt9+2X7Svsz+yn7LPsx+zH7Kfsh+yP7Lfs5+0D7RPtM+1v7bft4+3n7c/tu+2/7cvty+2n7WvtL+0P7QvtG+0z7UvtX+1z7Yftl+2r7b/t4+4P7jvuX+5v7mvub+6D7qvu3+8L7yPvM+9H72Pvi++v79Pv7/AH8B/wJ/An8CPwM/BP8Hfwj/CP8IPwa/BX8E/wV/B38Kvw6/Eb8S/xJ/EP8Ovwu/B38C/v7+/H76fve+837uvus+6f7qPuq+6r7qvur+637qvuh+5T7hft5+2z7YPtW+1P7VPtU+0r7M/sX+v767Prf+tH6wfqw+p/6jvp7+mX6UfpA+jL6IvoN+fP52vnD+a/5nPmM+X35cPli+VD5Ofkh+Qn48vjZ+L34n/h/+GH4Qvgk+Ab36PfM97D3lfd692H3R/cr9w327vbP9rP2l/Z89mH2RvYt9hL19/Xc9cX1tPWl9ZL1d/VW9TX1FvT79OH0yPSy9KH0kfSB9G/0XPRL9D70MPQe9Anz9PPi89LzwvOy86Hzk/OF83jzaPNX80fzOvMx8yrzJfMj8yLzIvMg8x7zHfMf8yPzKvMy8zzzSPNX82Tzb/N283vzgfOF84jziPOL85PzovOv87TzrvOj85zznvOf85PzdvNS8z/zS/N287f0BvRl9Nj1WPXM9hr2N/Y19jP2SPZ49rb28fcj9073cfeK95b3mfea96H3sPfD99j37/gJ+CX4Q/hi+IL4pvjI+OP49vkF+Rn5NvlS+WL5W/lD+Sv5H/kk+TH5Ofk6+Tr5Rfll+Zn54Poz+ov62fsL+xT69/rK+qT6j/p8+lf6Hvns+ez6MPqn+yT7ffus+8P70vvS+6j7Rfqy+hf5l/lB+Qv44/i9+Jf4dPhT+DT4Fff299X3sPeH9173Pfcl9xT3APbn9sr2rPaP9nD2TfYp9gL11/Wq9YH1Z/Vi9Wj1Y/VB9QP0u/R/9FP0LvQC89DzpvOQ84vzh/N181bzM/MX8wXy+fLw8ury6fLt8vPy9vL48vry/vME8w3zGfMm8y/zK/MT8u3yxPKl8pXyjfKH8n7yefKB8pbyrfK08p3yavIs8frx5vHw8gzyLPJL8m3ykfKy8sXywfKr8o/yfPJ18nnyg/KY8rfy3PL88wvzBvLy8tjyv/Ku8qnyt/LU8vXzCfME8uvyzvK88r3yz/Lx8yLzYfOg88rz0/O785fze/Nw83HzdfN784vzqvPS8/X0BvQD8/Tz4/Pb897z8/QY9Ev0g/S49OL0/fUD9PL0xvSH9ET0EPP38/j0CPQd9DL0S/Rq9Iz0rfTF9NT02/Th9Oj09fUI9SD1PfVe9YD1pvXO9fj2JPZQ9n72r/bl9yD3Xfeb99b4EPhK+If4yPkQ+WD5s/oI+ln6p/ry+z/7jfvc/Cf8bfys/Oj9Jf1o/bP+Bf5Z/qz+/f9Q/6oADwB+AO4BVgGvAfsCQgKNAt0DKwNvA6UD1AQIBEwEogUCBWMFvwYWBmkGtwb/B0EHgAfBCAgIUwigCOwJOAmECdEKHQpmCqwK8ws8C4oL3AwwDIMM0g0eDWkNtg4FDlcOqQ73D0APhA/DEAEQPRB5ELYQ9BExEW4RqBHjEiASYxKoEu0TLxNuE68T9hREFJQU4BUmFWgVqRXpFiQWVxaDFqwW2BcJFzwXbBeSF6wXuhe+F7kXshesF6oXqxepF6EXkheAF20XXRdNFz0XKxcXFv8W4xbHFq0WmBaIFncWYBZEFigWFBYMFgoWCBX/FeoVyhWcFWEVHhTZFJ4UdBRdFFIUTRRHFDwULhQgFBYUEhQSFBEUCBP1E9cTshOLE2MTPxMhEwsS+RLoEtUSxhLAEsUSzhLSEsoSvRKzErIStxK9EsgS5xMvE6cUPxTWFU4VmRW/FdIV2xXfFdsV1RXTFdwV7BX2FfEV1hWtFX0VThUlFQcU+RT8FQgVDxUJFPgU5RTWFMgUrhSDFE8UIRQFE/YT5RPJE+MTtxOdE5ATfxNcEyoS+BLPEq8SkRJ2EmISWRJREj8SHhH5EeAR2BHVEckRsBGYEZARlBGTEYERYxFWEXERtxIREmQSohLMEuUS5xLNEpQSTBIKEeARzxHMEcoRwBG0Ea0RtRHLEeoSCBIhEjYSSxJlEoMSoxK/EtYS4BLXErgShxJTEicSAxHTEYURDhB9D+QPUA7CDjgNww1/DYYN2A5XDtwPUA+zEBEQbBC1ENcQzRCnEIQQehCKEKAQphCSEGYQMhAED+UP1g/TD9UP0Q/CD6cPhg9oD1IPQQ8qDwgO3Q65DqcOrQ68DsAOrA6GDl8OTA5RDmoOhQ6cDqsOuA7BDsAOqg5+DkEOAg3IDZANVA0QDM4Mmwx6DF4MLgvbC3ALCgrGCq0KsQq1CqEKcwo7ChQKEAovClwKfAp7CmIKSgpLCmIKdApjCi0J8wneCf4KOgpoCmcKOQn1CbEJcwkzCOoImAg/B9sHZQbVBikFYgSBA5ICrwH8AZYBdwFxAUQAvv/U/qj9aPw7+zP6UPmT+Qb4uPi3+QT5jfov+sb7MPtk+2f7T/su+w/68/rb+sj6vPq4+rT6pPp6+jH5zPla+Oj4ffgZ97n3W/cE9rb2cvY39gL10/Wp9YP1W/Uu9Pz0xvSR9Fv0JPPt877zmfN882HzQPMZ8vby3fLJ8rDyiPJT8iDx//H18fbx8PHZ8bXxi/Fb8SLw1/B88Brvve9t7ybu5+647qfuuu7p7xXvGe7c7l3ttO0E7HTsIewc7GTs4u167g/une807+fwufGS8kryw/L58wHy9fLo8tryx/Kw8pjyhPJv8k3yEfGz8TLwkO/S7v3uFu0k7C/rPepY6Y7o8+iR6GLoTug56BLn2+ek53bnVOc25xfm9+ba5r7mnOZx5kLmHOYM5hXmL+ZL5mTmeeaN5qPmuubR5ufm++cN5xznJucr5yjnG+cD5uXmyea45rbmxObg5wnnOuds55Xnrue858nn3ef66BvoNuhI6FLoXOhv6JDovOjt6R3pR+lr6YzpqunA6czpzenN6djp8eoS6i7qOeo06ivqLOo+6lzqfOqZ6rjq4esa62Hrruv67EHshezG7QXtQu1+7brt9+4x7mzurO7370rvme/Q7+nv8O//8CzwevDa8TzxnPIA8nLy8PNy8/D0aPTe9VL1vfYV9lv2nPbr91L3zvhP+Mb5LPmG+dj6Jvpt+qv64vsb+2H7tvwO/Fb8gPyP/Jj8tfzz/Uz9q/4D/lT+qP8G/2v/zQAkAG4ArADdAQIBIwFPAY8B4gI6AocCxwMCA0UDkgPmBDwElATtBUQFkgXZBiIGdwbZBzoHigfLCA8IZwjYCU8JtgoACjAKTwpgCmAKTQosCgQJ1gmgCWIJJQj5COkI9AkMCSUJOglPCWcJggmbCa8JwAnSCewKDwo3CmEKiQqsCswK6gsJCyYLQAtYC3ILkAuwC88L5gv5DBAMLwxWDH8MqgzgDTANmw4KDmAOhw6GDnAOTQ4EDWoMZgsPCacIcAeGBs4GHQVcBKEEHgP9BEME0gV9BhwGnQb8Bz8HageEB5AHkweMB4EHdAdoB1wHTgc6Bx0G+gbQBqQGegZSBiwGAwXSBZcFWwUkBPUEyQSYBGIEKwP7A88DoQNtAzUDAgLXAq4CgQJNAhgB6gHDAZ4BdwFNASUA/wDXAKgAdABEABz//P/d/7r/lf9x/0z/I/72/sz+rP6S/nX+UP4m/gf99v3s/dj9tP2L/Wr9Vf1D/Sj9Bvzo/Nf8y/y5/J78gfxs/Fn8O/wK+9H7oPt4+0v7GPsG+1T8Hf0q/fv+FP1Y/B/6/Ppd+lP6ovr/+0X7c/uW+7D7vPu2+6X7k/t/+2b7SPst+yH7JPss+y37IvsV+xH7Gfsm+zD7Nvs9+0z7Yftx+3b7bvth+1j7VvtZ+1r7VftL+z77NPsw+zH7OftC+0r7T/tQ+1H7VPtd+2n7dPt9+4L7hfuH+4r7kPuX+6D7qfuw+7f7vfvD+8v71Pvc++L75fvm++f77Pv1/AL8DvwU/BL8DPwE+/77+/v9/AL8DfwZ/CT8Kfwo/CP8G/wR/AP79Pvn+9z71PvI+7f7pfuV+4z7ivuK+4r7ivuM+4z7h/t8+2z7XPtO+0H7N/sx+zD7Mvsy+yn7Fvr8+uT60frB+rH6ofqQ+n/6bfpY+kH6Lfoe+hD5//no+c35s/md+Yz5fvlx+Wb5W/lL+Tb5HPkC+Or41Pi9+KT4ifhu+FL4Nvga+AH36ffR97b3mfd79173Qvcl9wT24vbC9qb2i/Zv9lP2NvYa9f714vXG9a31mfWI9XL1VfUy9RD08/Tb9MT0rPSW9IP0c/Rk9FX0R/Q69Cz0GvQF8+7z2fPI87fzpPOP83rzafNa80rzOPMl8xXzCvME8wDy/fL58vfy9PLv8uny5PLi8uTy6vLx8vjy/vMG8w/zGfMl8zDzOPM98z3zPPM980PzT/Na817zWPNP80vzUPNY81XzQvMp8x7zMvNk86nz9fRK9Kz1FfVw9aL1qfWg9a716vZL9rD2+vcj9zj3R/dW92D3Y/dj92v3fvea97b3z/fm9/z4Evgp+EH4Xfh9+J34u/jV+O75B/kc+Sf5IvkP+Pj46vjt+P/5Fvkp+TX5PflO+Xb5vPoh+pL69Pso+yD66fql+nL6WfpG+iL56vm/+cn6GvqW+wv7Uvtu+337lPui+4H7F/p0+cr5SPj9+Nn4v/ih+H/4YPhC+CD3+ffP96b3gfdd9zf3Evby9tj2v/ak9ob2afZQ9jr2JPYJ9eP1svV99VX1SPVX9Wz1aPUz9NT0aPQP89fzt/Of84zzgvOG847zi/Ny80nzIPMG8vry9PLt8uLy2/Lb8t/y5vLs8vTy//MQ8yPzOPNH803zQvMm8v7y1PKy8pfygfJr8ljyTvJV8m3yjfKi8p7yffJN8iPyDvIU8izySvJq8oryrfLK8tXyyPKn8oLyaPJe8mLyb/KG8qfyzvLu8vzy9PLc8sHyqfKa8pTylvKe8qTynvKK8nPyaPJy8o/ytfLf8wzzPPNo84HzfvNl80XzL/Mp8yvzLvMy80HzX/OE86PzsPOq85vzkPOQ853zt/Pe9A30P/Rq9Ir0mPST9Hb0RPQG88zzqPOe86jzufPJ89jz7/QQ9Df0XfR69Iz0mPSi9K/0w/Td9Pz1HfU+9WD1hPWs9df2BfYy9mD2kfbH9wH3O/d196335fgc+FX4k/jX+ST5dvnK+hv6Z/qy+v/7T/uh+/H8PPyC/MP9A/1G/Y392/4w/of+4P87/5oAAABqANIBMQGEAdACHQJuAsIDEANSA4gDuwP1BD0EjgTkBTgFiwXeBjIGgwbOBxIHUgeTB9oIJQhzCMEJDwleCawJ+ApACoUKygsTC2ILtwwODGUMuA0FDU8NmQ3mDjYOiA7XDx0PXA+VD84QCRBJEIwQzxEQEU0RhhG/Ef0SQRKLEtQTGhNdE6IT7BQ7FIwU2hUhFWQVpRXiFhkWSBZyFpwWzBcAFzEXWBd0F4gXlheeF6AXnhebF5sXmxeWF4cXbxdXF0UXOhcwFyEXCxbyFtgWvRahFoMWaBZUFkcWOxYqFhIV+BXiFdMVxxW4FZ8VeBVFFQkUzBSUFGYUQxQrFB0UGBQaFBwUGRQOFAAT9RPwE/AT6xPcE70TlRNpE0ETIRMKEvQS2RK3EpESdBJmEmgScBJ0EnMScBJxEnMScBJpEm4SmxL/E5QUOhTNFTkVfxWtFdAV6RX0FfIV6RXjFeUV7hX3FfcV7RXWFbQVhRVOFRUU5BTDFLEUpxShFJ8UpxS4FMcUxBSqFIAUWxRIFEEUNBQTFAwT1ROyE6ATiRNcExkS1hKmEogSdRJlEl4SZBJvEmsSShIUEeERxBG9EbkRqhGXEYsRihGEEW0RShE4EVYRpxIWEn4SyRLzEwIS9RLHEnwSJhHbEa4RnRGaEZcRjhGCEXgRdhF+EZERrRHQEfYSGBI3ElQScxKYEr0S1RLQEqISTxHpEYwRSREfEP4Q0RCGEBYPgw7ZDjINsA1zDYQNzg4rDoAOyQ8WD3YP4RA8EGwQbRBTED4QQhBcEHkQhxB6EFUQJg/6D9oPyQ/BD7gPqQ+TD3sPaQ9eD1cPTA82DxUO8Q7UDsUOww7HDsIOrg6ODnEOaA58DqoO4A8KDx0PGg8LDvUO2A6uDnMOLQ3mDaUNbg0+DRcM9wzaDLQMegwoC8oLdgs/CygLIQsYCv8K1wquCpgKoQrFCvILDwsLCvEK2grdCvULBgrxCrQKbApCCkkKbgqNCogKXAoYCcwJfgkwCOQInQhbCBYHxQdhBuUGSgWFBJEDgQKAAbwBRgEEALkALv9Q/jT9B/vx+wP6N/mF+O34gPhV+Hj45Pl6+hX6lPrk+wf7Bvrx+tL6tPqc+o/6ivqL+or6fvpf+ib50/ls+Pr4ivgi98T3a/cY9sn2g/ZH9hT15vW59Yr1V/Uj9O/0vfSL9Fb0G/Pe86nzhPNt81rzP/MY8u7yyfKq8ojyWvIi8fDx1vHX8eXx7PHi8c3xtvGf8XvxOfDU8Fvv5u+E7zbu9e6/7pzuke6W7pPubO4W7Z3tIOy87Ibshey17Q/thO4B7n7u/u+T8E3xJfH78qfzDvMv8yHzAPLc8rfyjPJU8g/xv/Fn8QvwrPBK7+DvZ+7X7i3tbOyZ673q3+oL6VDovuhd6CboCufz59bnsueO52/nVec65x/nBebs5s3mo+Zr5jDmAuXr5e3l/OYP5iHmMeZB5k3mUuZS5k3mSuZK5k/mWOZi5mrmauZg5lHmRuZE5k/mZeaG5rHm4+cS5zXnSOdQ51vndueh59Pn/egW6CDoKOg66F7ok+jM6QDpKelI6WTpfumQ6ZLphel36XnplunG6fbqE+ob6hnqHuoz6lPqeOqc6sLq8Osr63Lrv+wM7Fbsnuzj7SbtZu2k7ePuI+5i7p/u2O8P70Tvcu+V767vy+/88EnwrfEW8Xnx1fIz8pvzC/N68+L0RPSo9RD1dvXT9iT2dvbW90331fhd+Nj5QPmX+eX6Lfpv+qv64vsc+177qvv1/DL8Vfxh/Gr8h/zF/SH9h/3n/jz+jv7m/0b/pwAAAE8AkgDJAPMBGQFGAYUB2QI5ApUC5wMvA3YDwwQVBGsEwQUSBVkFlAXLBgwGYgbIBy0HgQfHCBAIbQjfCVMJsgn0Ch0KMgo2CicKBgnbCbEJigliCTcJEAj5CPgJCAkfCTYJTAlmCYQJoAm0CcMJ1gn2CiQKWgqQCsEK7AsSCzMLUAtoC3sLiQuUC6ILuAvWC/kMHAw5DFEMaAyDDKUM0w0WDXMN5Q5XDq8O3g7sDu4O6A6+Dj4NSQv2CowJUwhkB54GzgXiBQQEeQRvBN0FiQY2Br8HIAdmB5cHtgfEB8QHvge0B6YHkwd8B2QHTAc0BxYG8QbGBpgGaQY7Bg0F3gWoBWwFLwT2BMYEnQRxBD8EBwPPA5wDbQM/AxEC5AK4Ao0CXwIuAf8B0wGsAYYBXQE0AQwA5gC/AJIAYgAzAAz/6f/I/6P/ff9a/zn/Fv7u/sb+oP6A/l/+O/4W/fj95v3Y/cP9ov17/Vj9PP0i/QX86PzR/ML8tPyf/IP8Z/xR/Dv8HPvx+8P7m/ty+z/7DfsI+1/8GPzn/Vr9HPw9+yj6WvoV+kL6nfrt+yX7VPuF+7D7xvvB+677l/uC+2n7TPsx+yT7Jfss+yz7IfsQ+wf7CPsR+xr7Ivss+zz7Uvtk+2n7XPtG+zL7Kfss+zb7PvtA+zv7Mvsp+yX7KPsv+zf7PPs++0D7RftN+1X7XPti+2j7b/t1+3n7evt8+4L7jPuW+537ovum+677uvvG+8770fvS+9T72vvk+/D7+vv/+/77+Pvx++z76/vt+/H79/v9/AP8BfwE+//7+Pvv++b73PvS+8f7vPuv+6D7j/t/+3T7bvtq+2j7Zvtl+2H7W/tQ+0L7Nfsp+x/7F/sT+xP7FfsU+wr69vre+sf6svqg+pD6gPpx+mD6Tfo3+iD6Dfn++fH54PnJ+bD5l/mB+W75X/lS+Uf5Ovkn+Qz47PjO+LX4n/iJ+HH4WfhB+Cn4Evf99+r32vfH9633jfdp90j3KvcN9u72zfat9pD2dPZX9jf2FvX49dz1wPWm9Y31ePVj9Un1KvUI9On00PS99Kr0lfR+9Gn0VPRC9DL0JfQZ9Azz+vPi88rztPOh843zdvNc80TzMfMh8xHy//Lu8uHy2fLV8tLyy/LD8rrysfKp8qDymfKT8pHykvKV8pXyk/KP8o7ylPKg8q3yt/K58rXyr/Kt8rLyvvLM8tXy1vLS8tLy3PLs8vny/PL68wTzKfNl863z8/Q39IP00/UW9TX1MfUn9UT1oPYm9qj2/Pcb9xv3GPcf9yv3NPc690T3Vvdu94f3nfex98b33ffy+Aj4IvhD+Gn4kPiy+Mz43vjq+O/46/jf+M/4xPjF+Nf49PkS+Sf5MPk5+VP5i/nf+jn6ePqE+lr6FPnZ+cT50/nm+eD5wPmn+cL6HPqX+vr7Jvsp+y77S/to+1H65fo1+YD4/fi8+KP4kfhz+FD4M/gb9/330veh93P3Tvct9wn24fa89p32g/Zn9kj2KfYO9fz17/Xd9b71kPVf9T31N/VJ9Vr1SPUC9JT0H/PG85Tzf/N082zzafNt83Xzc/Ng80HzIvMN8wDy9vLq8t/y2vLb8uDy4/Ll8uvy+vMS8y7zSPNZ81vzTfMw8wvy4/K98pzyffJg8kjyPPJA8lfyePKX8qfyoPKH8mnyVfJO8lTyYfJz8ozyqfLB8sjyuPKX8nXyXvJY8mDyc/KQ8rfy4PL+8wPy8PLN8qrykvKD8nnybvJh8lHyPfIt8inyOfJc8onytPLV8vLzDfMl8zHzKPMO8vHy3/Ld8uLy6PLu8v3zFvMz80rzUvNP80rzTfNa83DzifOl88Hz2vPs8/Tz8/Pp89TztPOO82rzU/NN81PzX/Nu84LznvPC8+n0DPQo9ED0VPRp9H/0mPS29Nf0+fUY9Tf1WfWB9a/14fYU9kf2e/ax9uf3HPdP94P3uPfv+Cj4Yvik+O35PvmQ+eD6LPp3+sX7F/tq+7v8CPxT/Jr83f0f/WP9sP4H/mb+yf8q/4n/5wBFAKIA/AFRAaQB+gJQAqIC6AMhA1QDiwPPBCAEdwTLBRoFZAWuBfgGRAaOBtcHHgdlB64H+AhECJII4wk0CYQJ0AoYCl0KpAruCz8LlQvvDEgMnQzsDTUNfA3EDhEOYA6uDvUPNQ9vD6gP5RAnEG0QshDzES8RZhGeEdwSIBJrErcTABNHE48T3BQvFIQU1hUiFWYVoxXZFgkWMxZeFpAWxxb9FykXRhdXF2QXchd+F4EXfhd4F3cXexd6F20XVhc8FygXHRcSFv8W5RbLFrQWnhaDFmEWPxYmFhsWFxYLFfIVzxWsFZMVhBV0FVoVMRT8FMUUlRRqFEMUHBP6E+YT5xP5FBAUGhQQE/gT3xPQE8oTwxOyE5QTbhNHEyUTCxL2EtwSthKEElASKBIWEhcSHBIcEhgSGhIlEjESMhIsEjoSfBL/E6wUVRTVFSUVWxWNFcIV7xYFFgIV8RXgFdYV1hXaFeEV5hXiFcoVmBVPFPoUqxRvFEoUPBRAFFIUchSYFLoUxxS8FJ8UhRR6FHcUaxRFFBET1hOwE5sTgRNNEwUSwBKYEo8SlBKXEpoSpxK6Er4SnxJbEgwR0xG4EbARpxGaEZARixGCEWcRQREsEUQRkxIBEmwSvRLuEv8S7xK4EmAR/RGtEX8RcRFwEW8RaRFkEWARXRFaEV0RbhGPEbgR3xH8EhMSLRJSEnwSmxKXElsR5BFFEKIQIw/jD98P/BALD+MPcg7JDhYNjw1WDWgNow3fDgsOMw5xDtMPSA+wD/AQBhADEAAQCRAdEDIQPhA8ECsQDg/tD9EPvw+1D6gPkw96D2cPYg9qD3IPbA9UDzAPCg7sDtoO0w7SDtEOyw69Dq4Oqg67DuAPDQ8tDzEPHA77DtoOvg6dDm4OLQ3lDaMNcg1TDT8NLA0RDOcMrAxmDCAL5gu9C6ELiQttC0wLKQsNCwALCgsqC1MLbgttC1QLOQswCzoLQAsmCuoKpQp6CngKkAqeCosKUgoECa0JVQkACLAIbAg0CAQH1geiB2EHAAZpBY8EfwNkAnEBvQE5ALP///8M/e78z/vP+vn6QfmW+Pb4c/gk+Bv4VvjC+UP5wvos+nX6lvqS+nf6WfpL+lL6Y/pu+mf6Tfom+fL5r/lb+Pf4jPgn98v3d/cm9tf2jfZN9hn17fXC9ZH1WfUg9Or0uvSM9Fr0H/Pg86bzevNe80nzLvMJ8t3ytPKQ8mzyQPIO8eLxyvHJ8dTx2PHO8b3xsPGo8ZXxZPEQ8KjwRO/w76nvZO8g7uruz+7K7sXuqO5t7ijt8+3j7fbuIe5Z7pzu5+8274jv5PBa8PTxpfJQ8s3zB/ME8tfyl/JN8fnxmvEw8MPwV+/x75TvQu767rPuYu377Xjs2ewm62jqqen26Vro2+h96DroC+fo58/nu+er55nngedh5z/nIOcD5uPmueaE5k7mI+YK5f7l+OX05fPl+eYG5hTmHOYa5hLmCeYC5gDmBeYO5hjmHOYX5gzmBOYG5hTmLOZL5nDmmebB5t/m8+cB5xPnMedZ54XnrufR5/ToG+hO6I3o1ekd6Vrph+ml6bnpw+m+6aXpe+lT6UPpWOmK6cTp8uoQ6iLqNOpM6mnqiOqq6tDq/+s463jrvewF7E/smOzh7SbtZ+2n7efuK+5v7q7u4u8I7yXvQO9i75Pv1/Au8JHw9/FX8bPyD/Jx8tvzRPOl8/r0SvSe9Pz1XvW/9h32gfb193z4DfiW+Qn5Yvmp+en6Kvpu+rT6+Ps7+3z7ufvv/Bf8MPw7/Ef8YfyZ/O39U/26/hr+c/7K/yT/gP/aADAAfgDDAPoBJQFOAYEByAIjAocC5wM+A4wD1QQhBHAEwgUQBVMFjAXDBgYGXQbDByYHeQfACAsIaQjUCToJhwmzCckJ0gnTCccJrwmNCWkJRgkmCQoI+gj6CQoJIQk1CUkJYAl/CZ8JuQnLCd4KAAo4Cn8KxQr8CyYLSAtrC5ALsAvIC9QL2QvcC+IL8gwNDDAMVQx0DIwMowzADOgNHQ1kDb4OKg6ZDvUPMQ9SD2gPeA9kDvUOCAyxCzkJ8Aj0CCIHQwZHBV8E2QTkBWoGIgbIBz0HigfDB+0IAwgEB/YH5gfXB8YHrQeMB2sHTQcyBxMG7QbBBpAGXgYpBfUFwAWKBVEFFQTaBKQEdgRLBBwD5gOtA3YDRAMXAuwCwQKWAmsCQQIVAegBvAGRAWcBPAETAO0AyACjAHgASgAd//X/0v+v/4n/Yv89/x3+/P7Z/rT+j/5t/k3+LP4K/e391f3A/aj9i/1q/Ub9Ivz+/Nv8wPyw/Kf8nPyH/Gv8Ufw6/CH8APvZ+7P7k/tv+z37EPsP+1777/x0/JD8G/tD+nT6CPoS+mH6s/ro+wv7Nfts+5/7uvu6+6j7lPuA+2v7Ufs5+yr7Jvso+yb7H/sU+wv7B/sI+wr7D/sY+yj7PPtL+0/7RPsu+xf7CfsH+w77G/so+zH7NPsx+yr7JPsg+yH7I/sn+y37Nfs++0T7R/tI+037V/th+2j7a/ts+3L7fPuG+4z7jPuO+5b7pfu0+7/7xPvG+8n7zvvV+9z75Pvq++v75vvf+9r72Pva+9z73vve+9/73vvb+9P7yvvB+7z7ufuz+6v7n/uS+4T7dvtp+177VvtR+0z7R/tB+zr7Mfsn+xz7EPsG+v36+Pr3+vr6/fr7+vD63frE+qz6lvqF+nb6afpc+kv6N/oh+gr5+Pno+dj5xvmv+Zj5gPlo+VH5O/kq+Rz5C/j0+NP4r/iN+HP4W/hD+Cn4Dvf19+D3zve+97H3pveX9333WPcv9wr26/bP9rP2lPZz9lT2NfYU9fL10fWz9Zj1f/Vo9VH1OvUh9QP04fTB9Kf0lfSH9Hf0YvRK9DL0GfQC8+3z3fPR88XztPOd84TzbPNW8z/zJvMM8vby5fLX8snyuvKr8qHynPKY8pHyhvJ28mTyVfJJ8kLyPfI48jPyLvIr8ibyHvIT8gryCvIT8h/yJvIl8hzyE/IQ8hXyIvIz8kPyTfJR8lbyZPJ88pfyrfLB8tzzDPNP85jz2vQX9Ff0nvTc9Pr09fTr9Qj1Z/X19oL24PcD9wD29fb29wD3DfcX9yD3K/c390T3VPdp94X3pPfC9+H4Afgl+Ev4bfiH+Jn4pfiu+LX4uPi0+Kv4o/il+Lb41Pjz+Qr5F/kk+T/5bvmm+dD51Pmq+WP5IPkE+Rz5WfmV+bH5rfmq+dL6Lfqd+u77CPr/+wD7IvtG+zL6wfoK+VL40/ic+Iz4efhU+Cn4CPfv99L3pfdv9z33F/b39tb2sPaN9nH2XPZF9ij2BvXo9dT1x/W39Z31efVS9Tj1MPUz9S71CfS/9Fzz/fO485HzfPNr81jzSPNC80bzTPNM80XzOPMn8xTzAfLw8ujy6fLu8vHy7vLq8uzy+fMQ8yvzQ/NS81XzS/Mz8xLy7PLH8qbyivJz8l7yUfJO8lnycvKR8qzyuvK68q/yoPKR8oPyefJ28n/ykfKj8qnyn/KK8nbybPJu8nrykvK18uLzDPMg8xPy6PKw8oPya/Jk8mTyXvJR8j7yLvIn8jDyS/Jz8p3yv/LW8uPy6/Lv8ujy0vK08pvykfKY8qbysPK28rzyyfLZ8uby7PLv8vXzAvMU8yXzM/M880PzRvNF8z/zNvMx8y3zKfMh8xbzCvMC8wHzCPMZ8zPzVfN6853zu/PZ8/n0G/Q79Ff0cvSO9K700fTx9RH1MvVa9Yr1vvX09in2X/aV9sr2/Pcs9173k/fL+AP4O/h4+L35Cvla+aj59fpF+pj67ftA+4372Pwi/Gz8s/z2/Tv9h/3h/kT+qv8L/2X/uwAQAGUAugEPAWYBvwIXAmUCpQLYAwkDRAOOA+YEQgScBO0FNwV7BbwF/wZFBpAG3wcvB3wHxwgRCF8IsAkCCVEJnAnlCi4KeArGCxgLbgvHDCEMeAzJDRINVw2bDeIOLg57DsYPCw9LD4oPyhANEFIQlhDWERERShGDEcASBBJPEpwS6RMzE34TzRQiFHsU0BUdFV4VlRXEFe8WGhZKFoEWuxbwFxYXLBc5F0QXUBdYF1gXTxdHF0kXUxdcF1gXRBcpFxMXAxbzFt0WwRanFpMWgBZmFkEWGhX9FfEV6hXbFboVkBVqFVQVShU/FSQU9hTBFJEUbhRSFDEUCBPfE8oT1BP4FB0ULRQcE/cT0RO4E6gTmBOAE2ETQBMhEwUS6RLMEqkSexJEEg4R6xHiEewR9BHuEd4R1RHeEe8R+hH+EhcSaRL/E7sUZhTaFRoVRBV2FbIV5BX4FewV0RW3FacVoRWiFaoVthW7FaoVeRUtFNYUhRRKFCsUJBQyFEwUbRSPFKwUuxS5FKoUmRSPFIgUdxRNE/UTvROWE30TYhMxEvESvhKwEscS6hL/EwAS/hMEEwQS5hKfEkQR9BHFEbARphGbEZMRjRGDEWoRRhExEUURhxHlEkASiRK7EtYS0BKeEkQR3RGKEV8RVBFTEU8RSBFGEUkRShFGET8RQhFWEXYRlhGuEb8R1RH1Eh0SOxI7EgURjBDXEAUPRg7MDrEO4Q8oD0MPCw6DDd4NWA0XDRkNOw1bDXANiw3FDiMOlA76D0MPcQ+QD6oPwA/PD9kP4Q/pD+wP4w/SD8EPuw+8D7oPrA+VD4MPgg+QD50PmQ9+D1MPJg8DDu8O7A72DwUPEg8UDwsO/Q74Dv8PCw8ODv8O3g65DpwOiQ53DlgOJw3rDbINiQ1wDWINVA08DRgM6gy5DI0MZgw+DBAL2wunC34LYwtVC1ILXgt8C6MLwQvEC6kLgwtqC2MLXQtCCwsKzwqrCqcKsgqpCnkKJAnBCWIJDQjBCHsIPQgMB+oH1wfMB7gHfwcFBjwFOgQqAzoCfwHiAToAX/9N/h/8/vwG+zf6fvnL+R34h/gg9/T4APg2+Iz49flj+cL5+fn/+eL5xfnF+ef6GPo3+jD6CPnO+ZT5Wvka+M34dfgc98v3gPc19ub2lvZN9hP15fW99ZH1XvUm9O/0vfSO9Fz0JPPm86fzcvNK8y3zE/L08s7yp/KD8mHyPvIX8fHx1vHJ8cPxuvGo8ZPxg/F48WrxTPEd8Orwv/Cd8HbwQfAG79nvz+/i7/fv9O/W77Tvq+/C7+3wFfA08FDwcfCY8MLw8PEw8Y7yAvJu8rHytvKB8ibxt/E78LPwJO+Z7x/uvu527kTuH+4B7eHttO1y7RTsnOwN62/q0Oo86bzpUej26KjoZOgv6Azn+efv5+LnyOeg53HnRecf5vzm1uat5oXmZuZO5jnmIOYF5fDl6uX05gTmEuYa5hzmGuYX5hLmDeYK5grmB+YA5ffl9uYB5hnmO+Zh5orms+ba5v3nHuc/52Xniuep58Dn2egA6EDol+j66V3pt+oE6kLqbeqG6o/qhupq6jrp+um96ZXpi+md6cDp6OoS6jzqZOqG6qDqterL6ufrC+s162froevl7DHsgOzM7RHtUe2N7cruC+5Q7pHuyO7t7wfvI+9U76LwCfB38N3xMvGA8dLyMvKg8xLzevPT9CL0bvTA9Rn1dvXU9jb2pPcl97j4TvjS+Tj5f/m4+fH6NvqG+tr7K/ty+6r70/vt+/78CfwT/CL8PPxq/LH9EP17/eb+Sf6k/v3/V/+1ABYAdADKAQ8BQAFlAYwBxQIXAnwC5wNIA5wD5AQnBGwEtgUBBUcFhwXFBgoGXga5BxEHXgemB/YIVgi+CRcJUwluCXQJdAlxCWkJWQlBCSUJCgj2CO8I+QkRCS0JRQlUCWQJfQmeCb4J1gnoCgQKOgqJCt8LJwtTC2wLgguiC8sL9AwPDBsMGwwaDB8MLwxJDGgMhAycDLQM0w0ADTcNcg2wDfkOVA6+DyQPcg+jD8UP3w/YD3sOmg0/C7IKSwk0CFUHdQaDBasFOAVUBeQGmwc2B50H4QgVCDwISgg9CCEIBQfxB9sHvAeVB24HTQcvBw0G4gayBoAGTgYZBeMFrQV5BUUFCwTLBIwEUwQiA/UDxQOSA14DLgMAAtICpAJ4Ak4CJwH/AdMBpAF2AUkBIAD4ANIArACEAFkAK////9j/tf+T/2//SP8j/wD+4f7B/qD+f/5e/kD+Iv4F/ej9zP2x/Zb9ef1b/Tj9EPzl/L78o/yX/JH8iPx2/F38Rvww/BT78PvK+6j7i/tl+zL7Afr5+zD7kPvU+7v7OvqO+g757/ol+nr6vPrh+v/7Kvtf+4z7pPum+5z7kPuB+277WftF+zb7LPsk+x/7HPsb+xr7FfsP+wj7BvsK+xT7IPsr+zH7MPso+xz7D/sF+v/7APsL+xv7LPs1+zP7Kfse+xb7EvsT+xf7IPsq+zH7NPs0+zf7QPtL+1T7Wfte+2b7cft8+4D7f/uA+4f7lfuj+6z7sfu1+7n7vvvE+8r70vvb+9/72vvQ+8X7v/u/+8D7v/u7+7n7t/uy+6n7nfuU+5H7k/uV+5H7h/t5+2v7XvtS+0j7QPs6+zT7Lvsl+xz7E/sJ+v768Pri+tj61frZ+uL66frp+t76yfqv+pX6f/pw+mT6WvpO+jz6JvoQ+fz56/na+cf5r/mV+Xz5ZPlM+TD5Ffj++Ov41/i7+Jf4cfhQ+Db4HvgD9+P3wvem94/3fPdt92D3VfdG9y33CPbe9rf2mPZ/9mX2RvYj9gD13fW79Zn1efVb9UH1KfUS9Pr04PTC9J70efRa9Eb0OfQt9Bv0BPPq89DztfOb84PzcPNj81jzSPMz8xrzAfLr8tTyvvKr8pzyk/KK8n/ycPJi8lfyT/JH8j7yL/Ib8gXx8fHl8eLx4vHh8dvx0/HN8cjxwfG48a7xq/Gx8bvxwfG+8bbxr/Gu8bTxwPHQ8eHx8fH88gbyF/Iy8lTyc/KM8qjy0/MR81rzovPn9DD0fvTE9Ov07PTe9Ov1MvWu9jb2ofba9un25vbi9uP26fbu9vP29Pb09vn3CPck90r3c/eb98L36/gU+Db4TPhV+Fr4Yvhx+IL4jfiP+Ij4gviF+Jf4s/jP+Ob4+fkU+T75cvmc+aT5gfk++Pj4zfjP+P35Qfl++aD5qvm4+eX6OPqW+tj66/rl+uz7Efs0+x36q/n4+Uf40/ik+Jf4gfhS+Br37ffL96b3dfc79wj24/bG9qj2h/Zp9lX2SPY39h31/PXe9cb1tPWg9Yf1bPVV9UP1M/Ue9Pn0wfR69C/z7vO985jzePNY8zjzH/MU8xfzJPM180LzRfM78yjzEvMC8v3zAPME8wTzAPL98wHzDPMa8yfzMvM880TzRfM48xvy9fLQ8rTyo/KW8ojydvJo8mbycvKJ8qPyufLI8tHy0fLE8qzyjvJ28m3ycvJ88oPyg/KB8oLyiPKT8qTyvvLk8xLzNvM78xby0fKI8lfySvJb8nTyhfKJ8oLyefJ18nryiPKd8rTyyPLV8tfy0PK+8qLyf/Jh8lHyVfJl8nTyePJw8mTyXvJi8mrydPJ88obykvKb8p7ymfKU8pLylPKW8pXyk/KW8qHysvLB8svyzPLH8sPyxvLT8uzzDfMw81HzcfOX88Pz8vQb9Dr0U/Ru9JD0t/Te9QH1I/VL9Xn1qvXc9g72QvZ39qz23vcP90H3d/et9+T4G/hW+Jn44/kw+Xz5yvoc+nT6zPse+2j7rvv1/D78h/zN/RX9Y/28/h7+gf7c/zH/gv/TACUAdgDGARgBbAHAAgwCTAKDArgC9wNDA5oD9wRUBK0E/gVFBYQFwQYCBkwGnQbxB0IHjwfcCCwIfQjMCRkJYwmvCfwKTAqdCu4LQguZC/MMTQyiDO4NNA12DbkOAQ5NDpkO4g8pD2wPrw/yEDUQdxC5EPcRNBFvEa4R8RI8EosS2hMnE3MTwxQZFHIUxhUOFUcVdhWiFdAWAhY3Fm4WohbQFvQXCxcaFyUXLRcvFysXIhcgFykXOhdFFz8XKBcJFvAW3hbOFrgWnhaEFm8WWxZAFh4V+hXhFdEVwRWlFXoVSxUpFRsVFxUMFOoUtRR+FFYUQxQ5FCYUBBPgE9ET4xQMFDEUOBQbE+wTwBOiE4sTcBNPEy8TFhMAEucSyRKnEoUSXxI0EgkR7xHxEgYSFhILEegRxxG/EdAR5RH3EhUSZRL2E68UXBTUFRkVRxV5Fa8V1BXYFb8VnhWFFXcVbRVoFWoVchV3FWsVRxUQFNQUnhR3FGIUXxRoFHcUgxSLFJIUmBScFJgUjBR+FG0UVRQtE8oTmBNtE1ETOBMVEusS0BLcEw0TQxNbE04TLhMUEwES4RKjEk4R/RHGEaoRnBGQEYYRfxF1EWARRhE7EVIRjhHcEiMSWRKCEp8SoRJ4EiMRvhFsEUMRORE4ES4RHxEYERwRIhEhERgRExEaES0RRBFYEWcReRGREa4RyRHXEcURfhDwECEPNw5vDf4N8A4jDlQOTA35DXsNBAy4DJ4MoAyqDLcM0w0NDWINwA4YDmUOrQ72DzgPaA+AD4oPkw+jD7UPvQ+6D7cPvw/QD9wP1w/DD7APrQ+5D8YPww+mD3gPRw8iDxIPGQ8xD08PZQ9nD1MPNA8VDv8O7Q7YDrsOmQ58DmsOZQ5fDlAOMw4MDeENvA2hDY0NfQ1qDVMNOA0fDQgM6gy5DHEMGwvNC5oLhguGC5ELpQvGC+8MDgwPC+0LuwuVC4QLegtgCy8K+grbCtYK1gq2CmgJ+AmCCSAI2AifCGsINggHB+gH4AfnB+YHuAc/BnYFewSCA7UDGwKVAfIBD//v/rP9ifyJ+7D65vod+Vn4sfg79//38fgD+DD4d/jQ+SL5UflM+SL4+vj5+Sj5cPmo+bX5lPlZ+R746/i7+IT4Q/f/9773gvdD9vv2qPZW9g711vWq9YH1VPUh9Oz0t/SE9FH0GvPf86DzZfM18xTy/PLl8sbyoPJ58lnyPvIj8gTx4/HF8a3xmvGG8W/xWPFD8TLxJfEi8SzxQ/Fa8V/xTfEz8SzxRfFy8ZDxhvFZ8SvxG/Ev8VHxbPF78Yvxp/HK8ebx9vII8izyZvKc8qnyc/H98VzwqO/w7z/un+4Z7bbteO1Y7UztSu1M7UntPO0g7PDsp+xE68zrSerM6l7p/+mo6VHo++iv6HfoVuhE6DToGefu57nnhedX5zHnDubr5svmsOaY5n7mX+ZA5inmJOYs5jrmQ+ZG5kXmQOY35inmGeYM5gfmCeYS5iHmOuZe5ovmvebx5yfnXOeM57nn6Ogh6GTooejI6NXo3ej+6UrpvOo76q3rButJ63vrnuuv66/rnOt660jrC+rI6ojqUeom6g3qDOoo6lrqlOrD6uLq9OsC6xPrJes661brguvD7BPsZ+y07PbtMe1o7Z/t2+4d7mLuou7X7wHvLu9y79PwSPC68RTxV/GV8eLySPK88y/zlfPt9EH0l/Tv9UT1lvXp9kb2t/dA99j4bfjp+UP5g/m8+gD6VPqy+wv7V/uS+7v70fvY+9f72Pvh+/T8EPw5/HX8yv01/an+GP58/tj/Nf+YAAIAawDLARgBUAF4AaEB2gIrAo8C+QNeA7YEAQRGBIkEzQURBVUFlwXZBh0GZAauBvUHOgeFB9wIPwijCPcJLglICVAJTglFCTQJGwkBCOsI4AjlCPwJHglDCV8Jbgl2CYMJnQm/Cd4J9AoKCjEKdQrPCycLZwuIC5gLqgvLC/kMJQxBDEoMRAw+DEMMVgxyDI4MpAy3DNINAA1BDYgNxA3xDiAOZw7NDz8Png/ZD/sQFBAUD8gO+g2kDAcKgAlJCFgHfAafBeMFigW1BkgG9weEB98IGQhICGsIdAhiCEEIIwgKB+0HxQeUB2gHRAckBv4GzwacBmsGOwYIBdIFnAVoBTcFAAS/BHoENwP+A84DogN2A0kDHALuAr4CjAJdAjMCDQHmAboBiwFeATQBDQDmAL0AkwBnADsAD//k/7z/mP91/1L/Lv8K/uj+y/6w/pX+d/5Y/jr+Hv4E/ev9z/2x/Y/9bf1M/Sn9BPzd/Ln8ofyT/Iz8gPxu/Fn8RPwu/BL78PvL+6r7ivtd+yD65vrN+uT7Efsi+u/6g/oT+dn56Pok+mf6mfrC+vL7Kftd+3/7j/uV+5j7lPuH+3P7X/tR+0b7Ovsr+yD7Hvsi+yb7I/sZ+w77BvsE+wX7CPsO+xf7Ivst+zL7Lvsh+w76/vr4+wL7Ffsn+zD7Lfsl+xz7FfsP+wv7DPsT+x37Jfsn+yj7LPs0+z37RftM+1X7Yfts+3L7dPt4+4D7jPuU+5j7mfud+6T7rPuz+7v7xvvR+9b70PvB+7L7qfun+6b7ovuc+5j7lvuV+477g/t6+3j7ffuC+4H7eftr+1z7Tvs/+zL7KPsh+xv7FPsM+wX6/vr1+uj61vrE+rj6uPrB+s/62frZ+sz6tfqZ+n76aPpa+lL6Svo8+ib6Dvn3+ef52/nN+bb5mPl5+V35Rfku+RP49/jd+MX4rPiM+GX4Pvgg+An38/fY97b3k/d29173SPcz9x/3D/b/9un2yval9oH2ZPZN9jT2FvXy9cz1p/WE9WP1Q/Uj9QT05vTJ9Kv0i/Rl9Dv0E/P08+Lz1/PK87Xzm/N+82TzSvMx8xrzB/L58u3y3fLI8rLynPKK8nnyafJe8ljyVfJP8kTyNPIj8hPyBvH78fHx5PHU8cDxrPGg8aDxpfGn8aDxlvGP8Y7xj/GN8YfxhPGJ8ZPxmvGb8ZjxmfGe8aTxq/Gz8cDx0vHj8fLyBPIe8j7yXPJu8nzylPLD8wrzXvO39BL0bPS59Ob07PTa9Nb0//Va9dP2SPaf9tH24vbf9tT2yvbE9sD2u/a39rz20/b69yj3U/d596D3zPf5+Br4Kfgp+Cj4MvhH+F/4bfht+GT4XPhf+HD4i/in+L/42vkD+T35e/mj+aL5ePk++RP5B/kb+UD5ZvmD+ZP5oPm3+ef6Lvp7+rP6yfrM+tr6/fsb+wT6nvn/+WD49PjE+LD4kfhZ+Bj33vev93/3R/cN9t32u/ag9oX2Z/ZP9j/2NPYl9g318vXX9cD1qfWP9XX1Y/VY9U31NfUG9MT0e/Q39ADz0/Or84LzWPMx8xLy//L38vvzB/MZ8yvzNvM08ynzHPMT8xLzFPMT8xHzEvMa8ynzNfM38zDzKPMq8zfzRPNC8ynzAfLb8sTyu/K28qfyjfJ08mfybPJ78o3ynvKx8sny2/Lb8sPymvJy8lryVPJZ8mDyafJ18ojynvK08sry5/MP8zjzT/M/8wTysvJo8kXyUPJ88q/y0/Lg8t3y0vLH8r3ytfKw8rDys/K08q3ymPJ58lXyN/Il8iXyMPI78jjyI/IA8d/xzfHO8dvx6/H48gHyBfID8frx7PHi8eTx8fIC8hDyGfIi8jLyS/Jp8oTylfKc8pryl/Kb8qvyxvLp8w/zOfNo857z1fQD9Cb0Q/Rk9I70vvTr9RD1MPVT9Xz1qfXX9gP2MfZj9pb2yfb59yr3XPeQ98X3/Pg5+H/4yvkW+WD5q/n6+lD6qPr6+0T7iPvM/BT8Xvyn/PL9Q/2c/fr+Vv6s/v3/TP+d/+0APACGANABHAFpAbIB9QIyAm8CsgL+A1EDqwQIBGYEwAUQBVUFkgXPBhMGXwavBwAHUQekB/kITQicCOYJMAl+CdAKJAp2CsYLFwttC8kMJgx+DM4NFQ1YDZsN4Q4qDnQOvA8DD0kPjg/TEBgQXRCiEOURJRFjEaIR5hIxEoASzxMbE2cTuBQQFGkUuRT4FScVURV/FbYV8BYnFlcWgRanFsoW5xb7FwUXBxcGFwQXBxcQFyAXLhcvFxwW+hbWFrwWrxalFpYWfRZgFkUWKhYQFfYV3xXNFb0VoxV4FUIVEBTwFOMU2xTGFJwUZBQyFBYUEhQYFBQUABPnE98T8BQSFCoUIxP9E8sTohOFE2oTSBMkEwkS/BL0EuUSzRK3EqwSpxKZEn8SZRJhEnMSgRJuEjgR/hHkEfcSIxJNEncSuxMvE8kUYRTVFR0VTxV/FasVxBW+FaIVhhVzFWYVWBVHFTwVOxU/FTwVLxUZFQEU6RTPFLYUoxSZFJEUhhR1FGcUZRRsFHAUZhRPFDMUFxP2E54TbRM/EyETExMIEvcS7hL/EywTXBNrE0sTERLaErMSjxJcEhsR3BGwEZoRjRF/EXERZhFaEUgRNRE0EVQRlRHhEiASSBJiEnMScRJJEfgRlRFFERwRFBETEQgQ9BDnEOcQ7hDvEOgQ3xDgEO0RABETESIRLRE4EUURWhF4EZYRlhFOEKgPsw6mDcoNTQ0uDUANSg0sDOUMkQxHDBUL+AvrC/EMEAxKDJUM5g02DYwN8Q5iDs0PHA9HD1kPZw98D5MPog+nD6wPuQ/ND9wP2Q/JD7oPug/HD9MPzw+1D4sPYA9BDzgPRw9nD4gPmg+QD3APRQ8fDwAO4g7BDpsOeQ5jDlsOWw5bDlQORg4wDhQN8w3RDbUNoA2RDYQNeQ1wDWYNUA0dDMgMXgv8C7sLowunC7gL0AvyDBoMNgwwDAgL0AumC5QLiAtrCzgLAwrlCuEK3Aq2Cl8J6AlyCRgI3AixCIUIUAgaB/AH3QfeB9gHpQcnBmAFcwSVA/ADggMmAqMB1AC5/3n+Qv0w/EH7YPp/+ab48vh5+D74L/g5+FH4d/ip+NX44/jF+Ij4Tfg2+FP4lPjZ+QL5A/jl+Lv4kvht+EP4EPfX96D3cPdB9wj2wPZs9hr10vWX9WX1NfUE9NH0n/Rs9Dn0BfPN85LzWPMn8wby8/Li8sbynfJw8k3yNvIj8gfx4PG28ZTxf/Fx8WDxSfE08SzxO/Fg8Zfx0vIC8hvyIPIi8jXyX/KI8pDyY/IU8crxqfG08dfx+fIX8j7yd/K18uPy9vL58wLzGPMk8wLylvHe8PDv7e707h7teO0J7MnsrOyi7KDspOyr7Lbsw+zL7Mnssux+7Czrx+tg6wLqsOpd6gPpoOlA6PHovOic6IfobOhF6BTn4Oe055DncOdQ5y3nCubq5szmsOab5pPmmOak5qvmpOaS5nzmZ+ZW5knmQuZJ5mDmhua15uznJudh55jnzOf/6DXoa+ic6MTo8uk26ZTp9uo86ljqWupp6qTrCet96+DsKexd7Ibsp+y77L3ssuyd7IHsXOwo6+HriOsl6svqkOqB6prqx+rz6xXrMOtI61vrY+tj62frgOu27AHsUOyX7NTtDe1H7YLtvu3/7kfulO7e7yDvYO+s8AzwefDf8S/xavGl8fTyW/LN8zjzlfPt9En0qvUG9VT1l/Xe9jj2sPdC9934a/jc+S75bvmy+gj6bPrL+xb7SPtr+4X7l/ue+5r7mfuk+7774vwP/En8m/0G/YD9+P5l/sb/Jf+I//AAVgCzAQABPgF1AbIB/QJZAr0DIQN+A9YEKgR8BMgFCgVGBX8FuwX6BjkGdQatBuUHJAdxB80IMQiQCN8JGAk/CVcJXQlPCS0JAQjbCMwI2Aj7CSwJWgl7CYkJiwmNCZsJtwnXCfMKCQonClkKowr5C0gLgQujC7kL0QvzDB0MRAxaDF0MUwxKDE8MZgyIDKgMwQzZDP4NPA2LDdcODA4oDkIOfA7gD1gPvQ/5EBQQIxAiD98PIQ3XDDoKowlUCFAHcAafBfsFvAX6BpIHPQfACA0IPAhgCHwIhAh1CFoIQAgmCAIHzgeTB14HNwcUBu0GvAaJBlgGKQX3Bb4FgwVNBRwE6QStBGoEJgPoA7MDgwNXAywDAQLTAqMCcQJDAhkB8gHLAaABcwFIASIA/ADTAKUAdwBLACL/+//T/6r/gP9Y/zP/EP7v/tL+uv6k/o3+cv5U/jX+Gv4C/ez90v2x/Yj9X/04/Rf8+Pza/L/8qfyZ/I38fvxr/Fb8Qfws/BL79PvV+7X7j/ta+xf62Pqy+qr6qvqR+lX6Dfnf+eL6Cfo0+lP6bfqZ+tr7IPtS+2v7d/uF+5T7mPuJ+3D7W/tU+1L7S/s8+yz7Jfsn+yn7Jfsb+xH7CPsC+vv69vr3+wH7Evsm+zb7Pvs5+yj7EPr++vj7AvsQ+xz7Ivsk+yT7H/sV+wj6//sB+wv7Fvsc+xz7HPsi+yz7Nvs++0X7TftV+137Zftw+3z7hvuL+4r7iPuL+5L7nPuk+637uPvD+8j7wvuz+6P7mvuY+5f7kPuG+4D7f/uC+4H7fPt2+3P7dvt5+3j7cPtk+1X7Q/sx+yD7EvsI+wH6+vrz+u366frh+tT6wfqv+qb6qfq2+sT6yvrD+rH6l/p6+mD6TfpC+jv6M/oh+gf56vnT+cf5wfm3+aL5gvlf+UH5KvkW+QH46PjO+LL4k/hu+ET4HvgB9+z32ffB96P3h/dw9133Rvcr9w/2+Pbm9tX2vvag9oH2ZvZO9jX2F/Xz9c71qfWI9Wf1RfUg9Pn00PSq9IT0XvQz9AXz2vO686bzmfOL83XzWvM+8yXzDfL18t/yzfK+8rDyn/KL8nnyavJf8lTySvJC8j3yOvIy8iXyFPIC8fHx4vHW8c3xx/G+8a/xnfGP8Y3xkvGU8YvxfvF38XrxgvGG8YTxgfGF8Y/xmPGe8aXxrvG58b7xvPG58cDx0fHm8fbyBvIc8jnyVfJi8mHyY/J+8r3zGvOH8/X0WPSk9M/01vTF9Ln0yvUG9Wf13PZN9qb21/bi9tH2uPak9pj2j/aN9pr2uvbq9xv3QPdc93n3n/fK9+v3/fgC+An4Gfgw+ET4TfhJ+D74NPg1+EL4Wvh4+Jf4vfjv+S75a/mO+Yj5YPky+Rn5Ifk7+VX5Y/lq+XP5hPmi+dH6DvpR+of6pfqz+sL63fr1+uj6nPoc+ZP5Kfjq+ML4lfhX+BH30PeW9133Ivbq9r72n/aE9mj2S/Y09iT2F/YF9e712PXF9bL1mvV89WD1UPVL9UL1IfTh9I70PfP989DzrfOH81vzMfMQ8v7y9/L08vTy+PMB8w7zGPMc8xrzGPMZ8xzzHfMb8xzzJ/M881XzYvNb80TzLvMn8zTzR/NL8zXzDfLn8tTy0PLK8rTyjfJp8ljyXPJp8nPyfPKO8q3yz/Lc8snynPJu8k/yRvJI8k7yWPJr8ofyp/LI8unzD/M481jzW/M08uvymfJg8lbyfPK58vLzEfMR8v3y4vLJ8rTyn/KM8nzycPJj8lHyOPId8gjx//IC8gnyCvH68dbxofFq8UDxMfE78VPxavF58YDxgvGB8XzxdPFw8XbxiPGd8a/xufHB8dHx7PIS8jryWvJs8m/yavJo8nbylvLD8vTzIvNQ84HztPPk9BD0OfRp9KL03PUO9TD1SPVi9YP1rfXY9gL2LPZZ9on2ufbn9xX3Q/d096n34fgh+Gj4tfkD+Uz5k/nc+iv6fvrP+xv7Yvup+/D8O/yG/NX9Kf2C/d7+OP6N/t3/K/97/8kAFABcAKEA5wEuAXQBtgH2AjYCegLDAxMDaQPFBCUEhATbBSYFZwWjBeEGIwZrBrgHDAdmB8IIGghrCLYJAQlRCaUJ+QpLCpoK6wtCC54L+wxTDKMM6w0wDXUNvA4EDkwOkQ7XDx0PZg+wD/sQRhCQENYRGRFZEZkR3xIqEncSwRMKE1QTphQBFFsUpxTgFQkVMhVlFaMV4hYXFj4WXxaBFqQWxBbXFt0W2xbcFuUW9hcJFxkXHRcQFvIWyxaoFpIWixaIFn8WaRZGFh8V+hXcFcYVuBWuFZ0VehVHFQwU2RS3FKEUjBRtFEMUGBP4E+0T8RP6E/gT6RPUE8sT1hPrE/cT6RPFE5oTdxNdE0ITIRMDEvYS+xMEEwIS9xL4ExETORNSE0oTKRMPEwkTCBLqEqgSXxJBEmQStBMLE1ITkhPiFEYUqxT1FSIVQhVmFY4VqBWrFZ0VjRWBFXIVWxU+FSkVIxUpFTIVNxU8FT4VNRUZFO4UwhSjFJAUfRRkFE8UShRTFFoUTRQrFAMT4hPEE4ITSxMZEwATBBMTExgTERMOExoTKRMjEvkSuBJ4EkkSJRH+EdIRqhGSEYgRfxFxEWARUBFAES0RGhEZETsRgRHUEhcSPRJLEkoSOBIJEbsRXxEVEO8Q6hDvEOsQ3BDPEMsQzhDNEMUQvBC6EMUQ2BDrEPcQ/BD7EPsRChExEWcRjBFvEOgP+A7ODa8M2gxkDDwMOww8DCoMAQvJC4sLUwsvCyoLSAuDC84MIAx7DOgNaw37DoMO6Q8nD0YPWQ9sD30PiQ+OD5IPnA+oD68Pqw+iD6EPqw+6D8EPtw+eD38PYw9TD1QPaA+ID6YPsA+fD3oPVA82DyAPBQ7fDrIOig5yDmcOYg5aDlAORg48Di0OFA30DdYNwQ21Da0NqA2lDaQNmw13DSkMvQxNC/oL0AvGC8wL2wvyDA4MHwwTC+oLuAuUC4MLcgtLCw8K1Qq5CrkKuwqfClsJ/wmkCV0JJwj3CMEIfwg5B/kHzQezB5sHYwbzBkgFfwTJBEkD/gPCA10CpgGYAFT/Cv3d/NH72frq+gz5WPjk+LD4qvi3+Mv43fjt+PD43fis+Gb4Hffq9933+fgw+Gn4kPia+I34dfhY+DP4AffE94b3Ufcm9vr2wvZ79iz13fWT9U/1EfTb9Kr0ffRP9CDz7vO684TzTvMg8wHy8PLh8sXymvJp8kPyLPIZ8fzxz/Gf8Xzxa/Fi8VfxSvFI8WLxmvHk8ivyXPJz8nbyb/Jt8nfyivKV8oPyTvII8c/xvvHX8gnyP/J28rXzAfNT85nzx/Pg8+7z9PPi853zE/I+8S7wAO7X7dbtFuyf7GLsR+w57CvsIOwg7CzsRexk7H/si+x77E3sCevA63zrPOr16p7qN+nL6WzpJej46Nvoweie6HPoRugf6AHn5ufJ56XnfedX5zfnHucQ5w/nF+cf5xvnBebk5sbmt+a85tjnCedM55rn6+g46H/ov+j16RzpNOlH6WDpfOmT6aHptOnp6kzqx+sv62Trauto64XryOwd7GjsouzR7QDtLe1P7WHtZ+1q7W3tae1U7SHszuxh6+7riutH6yfrIOsm6zrrXOuI663rvOux653rm+u66/TsNux17K/s7e0x7Xntvu4C7k/upu8C71Xvne/g8Czwg/Dc8Snxa/Gv8gXybPLW8zXzifPe9D70o/T99UL1e/XA9iT2rPdJ9+X4avjN+RT5VPmh+gH6Zvq1+uD68Pr7+xD7LvtF+0/7Vftn+437wvv9/EH8lv0B/Xz9+P5n/sj/I/9+/9wANwCLANYBHAFnAb8CKAKXAwEDXAOrA/sEVASyBQYFSAV4BaMF1gYSBlEGiga6BuoHJgd0B9IINAiLCNEJCgk6CWIJdglqCT8JBQjaCNII8QkqCWQJjQmdCZoJlQmaCbAJzQnpCf8KFgo8CnUKvQsHC0kLfgunC8gL5QwCDCAMPAxODFEMSwxJDFcMeAyiDMoM6g0NDT4Ngw3SDhUOPw5SDmsOpQ8ID3oP1xAJEBoQHhARD8kPDw3VDEsKwQlxCF4HbQaXBf4F1AYpBs8HfQf6CD4IYQh6CIwIjgh/CGgIUAg1CAwH0geRB1cHKQcCBtgGpwZ0BkMGEQXbBZ8FYgUqBPkEyASUBFgEGQPbA6EDbAM6AwwC3wKxAoMCVQIqAgIB2wGyAYcBXAEzAQ0A5AC4AIcAWAAuAAr/6P/D/5n/a/8//xj+9f7Y/r/+qv6V/oD+Z/5M/jD+Fv3//ef9zP2n/Xz9T/0m/QX86vzS/Lr8pfyU/IX8dvxl/FL8Pfwn/A/79vvb+7z7kvtZ+xn64Pq5+p36evpF+g358foH+kH6ePqJ+nn6bPqF+sT7Cfs3+0v7V/tt+4b7j/uA+2X7U/tS+1j7VvtJ+zr7MPst+yn7IfsY+xH7C/sD+vf67frr+vL7APsQ+yD7Lvs4+zf7KvsY+wr7BPsG+wj7C/sP+xX7GfsU+wb6+fr1+vz7B/sO+w/7EPsX+yP7MPs3+zr7O/s/+0b7Uvti+3H7ffuB+4D7f/uA+4b7jfuT+5r7pPuu+7T7sPuk+5f7kPuO+4r7gft2+2/7cPt2+3v7fPt5+3b7dPty+237Zftb+037O/sm+xH7Afr3+u/66Prh+tr61PrM+sD6r/qi+p76pfqx+rf6svqh+oj6bfpT+j76MPop+iT6GvoF+eb5xvmv+aT5ofmc+Yr5bPlI+Sn5EvkB+PD43PjE+Kf4hfhd+DT4Dvfx99z3yfe095/3jfeA93T3YfdD9yL3Bfbx9uH2zva19pf2efZd9kD2IPX+9d31vvWh9YL1X/U19Qf01/Sr9IL0WvQw9ATz2fO386HzkfOC823zVvM98ybzDfL08t3yyvK88qzymfKG8njyb/Jp8mLyV/JM8kPyOvIu8h3yDfH/8fPx5/Hd8djx1vHS8cbxsvGg8ZjxmfGY8Y7xf/F28XnxgvGH8YXxgvGF8Y7xl/Gg8avxuvHH8crxwPG08bXxxPHY8ebx7/IA8h3yPfJO8kjyO/JC8nLyzfNF88H0LfR69KH0qfSd9JH0lPS09Pj1YPXf9lr2svbY9s/2sPaP9nr2b/Zy9oX2rPbe9w73MPdG91z3d/eV96z3vPfK99/3+fgQ+B34IPgd+Bn4FPgR+BX4KPhJ+Hb4qfjf+Rj5R/ld+Ur5F/jc+Lj4uPjT+Pf5F/ky+U35afmH+av53PoZ+lX6gvqa+qf6ufrN+sz6nPo7+cP5U/j/+L/4gvhA9/r3t/d690D3B/bV9q32jPZu9k/2MvYb9gn19vXf9cj1t/Ws9aD1ivVr9Uz1OPUs9Rn07/Sr9Fn0DvPW87DzkPNs80XzIvML8wHy/fL48vPy8PL08vzzA/MH8wjzC/MU8x3zI/Mo8y/zQfNb83XzgPN281zzQfM28z7zTvNS8z/zGvL28uTy3vLT8rPyg/JZ8kfyTvJb8mHyY/Jx8pXyv/LW8sjynvJy8lbyT/JQ8lPyWPJp8ofyrvLa8wjzOfNk83jzZfMp8tjykfJv8n7ysvLw8xvzIfME8tTyovJ88mHyTPI58iXyEfH78eTx0PHF8cbx0PHY8dHxtPGC8UPxA/DP8LTwt/DQ8PHxC/EY8R3xJPEu8TnxQfFF8UvxVPFe8WXxaPFt8XzxmfHC8e7yFfIu8jfyOPJB8l/ylfLW8xDzOPNT827zkvPA8/H0J/Rm9K709/Ux9VL1YfVs9YL1pPXO9fj2IfZM9nn2p/bV9wL3Mfdi95f3zvgK+E34l/jl+TH5evnB+gr6Vvqk+vL7PvuI+9L8Hvxt/MD9F/1x/cv+Jf57/sz/Gv9m/7D/+gBCAIgAzQERAVMBlAHSAhECUQKVAuADMgOLA+kERwSdBOsFLgVsBagF5QYpBnQGyQcmB4YH4Qg0CIII0AkhCXUJyAoYCmcKugsSC20LxgwYDGMMqgzxDTsNhw3SDhoOXw6jDuoPNA+CD9MQJRB1EMARBhFIEYwR1RIjEnESuRL8E0ITkhPrFEMUjRTDFO4VGhVSFZIVzhX9FiAWPhZgFoMWnharFqwWrBa2FssW5Bb3Fv4W+RbqFtIWsxaVFoAWdhZzFmwWVxYzFgMV0xWrFZAVgBVzFV0VNxUDFM0UnhR6FFsUORQWE/kT6BPkE+kT7hPpE9cTuxOdE4oTixOXE6ETmhOCE2QTShM1Ex0TAhLwEvMTCRMfEyQTHxMqE1wTpxPmE/QT1BOkE4ETZxM+EvkStBKdEtATQBO+FCUUcRSvFOkVFhUpFScVJhU6FV8VhBWZFZwVlhWMFXsVXhU+FSgVJBUtFTgVRBVQFVoVVRU1FP8UyhSqFJ4UlxSGFHAUZRRoFGsUWhQwE/0T0hOtE38TRRMREv4TERMzE0MTNBMQEu4S0xK0EocSThIZEfMR1RG4EZkRgRF3EXURbxFfEUwROxEuERsRBBD4EQ0RShGbEeQSDBISEgIR4hGyEW8RJhDsENAQ0hDfEOUQ4RDZENQQ0hDOEMMQtxCxELUQwhDPENgQ2hDZEN4Q8hEZEUURVREgEIoPnA59DWUMfwvhC4kLZgtkC2cLWgsuCukKogpxCmkKigrHCxYLcQvfDGUNAg2oDj8Otg8HDzkPVw9pD3IPdA9zD3UPfQ+FD4gPiA+KD5YPpg+vD6QPiw9uD1wPWA9gD28Phg+jD7wPww+0D5QPdQ9gD1EPOw8VDuUOuQ6aDoUOcg5aDkQONw4zDjEOJw4VDgEN9A3tDekN5Q3lDe0N8g3gDaENOQzBDFoMGAv2C+UL3gvdC+AL2wvEC5wLcwtXC0YLLQr8Cr0Kigp3CoEKjQqFCmMKNAoFCdYJoAlfCRIIvwhoCBMHyAeNB1wHJQbRBlkFzAVKBO0EtASCBCYDewJ1AS3/z/6B/Vf8Tftd+ov54/l0+T35Mfk++VT5Zflp+Vj5Mfj4+LX4bPgn9/P34ff2+Cj4XviB+I34ifh8+GT4Nffu95v3TPcM9tf2o/Zp9if13vWR9UL0+PS69In0X/Q09Abz1fOj83LzQvMW8vfy5PLU8rnykfJi8jvyIPIH8eTxtvGJ8WrxW/FR8UbxQ/Fe8aPyBfJh8pXyl/J38k3yK/IS8fzx5vHU8cvxyvHS8ePyAvIx8mzyqvLl8xzzVfOW8+L0L/Rw9Jb0lvRq9BLzkPLg8gHw9e/P7rDtvO0J7JXsTewb6/Tr2OvK687r4ev/7B/sNuw77CrsCuvm68PrnOtk6xXqsepD6d7pjulV6TDpEujx6Mvooeh96GDoSegx6Bbn+Ofb58DnpueQ54Hneed052jnVedG50vnc+fB6DDotOk56a3qAuo16lTqaup56nrqaepO6jXqJuoW6f7p6+n86kbquesp623rgOuD65rr0ewZ7Fzsk+zG7PvtMO1c7Xntj+2k7b3t1O3f7dbtsu1y7R3svOxc7ATruuuI63frj+vF6/vsFOwF69/rwevD6+fsHuxa7Jjs3e0q7Xntxe4Q7mLuwu8m737vv+/w8CLwZPC28QvxXPGu8gnyb/LV8y/zffPN9Cn0i/Th9ST1YfWw9ib2wPdo+AP4fPjR+Q75SfmU+e/6RPp6+ob6evp2+o/6vfro+wT7GPs4+2/7t/wG/Fj8sv0c/ZP+Cf50/tD/JP93/8wAIQB0AMMBEgFsAdkCVwLaA0sDogPlBCcEeATSBSQFXgWFBacF2AYZBmAGnwbTBwIHOweIB+UIQwiSCM4I/wkuCVwJfAl9CVoJJQj9CPoJIQleCZMJrgmrCZ4JmwmuCdEJ8woJChgKLgpVCo8KzwsMC0MLdQuhC8IL1wvlC/cMDwwmDDYMPwxPDG8MngzPDPgNGw1DDXsNvw4CDjUOVg5yDp4O5w9ID6gP7RAPEBkQFg/6D58O3Q2yDEsK5gmoCI4HiAaiBgsF8wZdBw8HvQgzCG8IigibCKMImwiDCGQIRQglB/sHxQeIB00HGQboBrcGgwZQBh0F6AWwBXQFOgUFBNUEpwR2BEEEBwPMA5IDWgMmAvQCxQKVAmgCPAIUAe0BxQGcAXABRgEdAPMAxwCYAGgAOwAS/+7/zP+o/4D/Vf8r/wT+4/7I/rL+nf6I/nL+XP5H/jL+HP4D/eb9xP2c/XH9Rf0f/P784vzH/K38lPyB/HP8aPxc/E78Pfwo/BL7+/vg+777kvtb+yP69PrO+qn6ePpB+iL6N/qE+uH7FfsD+sL6i/qH+rX68fsa+y37PftW+3H7fPtx+1/7Vvtb+2H7XftQ+0T7Pfs4+zD7JPsa+xX7EfsH+vj66/rp+u/6+Pr++wX7E/sl+zX7Ofsz+yf7HPsQ+wP69frv+vX7APsG+wP6+Prx+vL6+vsB+wT7B/sP+xv7J/st+yz7Kvss+zT7QftR+2D7a/tw+3H7cftz+3X7eft9+4L7i/uV+5z7nPuV+4v7g/t++3j7cPtp+2b7aftx+3j7fPt7+3f7cftq+2L7WftQ+0T7Mvsc+wf69/rv+un64/rZ+s/6xPq4+qv6n/qX+pj6oPqm+qH6j/p0+lb6PPoo+hv6FPoS+g76A/nr+cv5qvmS+Yf5hfmB+XP5WPk2+RT4+vjn+Nf4xfiw+JX4dfhR+Cv4CPfr99T3v/er95r3jveI94L3cfdU9zD3D/b29uT20Pa29pb2c/ZQ9i32CfXp9c31t/Wh9Yb1Y/U39Qb01/Ss9If0ZPQ/9Bjz8vPR87jzpPOT84DzbPNY80HzJvMK8vDy3fLO8r/yrPKZ8ozyhfKA8nbyaPJZ8kvyPvIu8hzyDfIE8f7x+PHw8evx6PHk8dfxwPGp8ZzxmPGV8Yvxe/Fx8W/xc/F18XLxcPF08Xzxg/GJ8ZLxofGu8a/xovGS8Y/xnPGs8bTxt/HD8eLyCfIk8iXyEvIH8iHybPLh82fz4vQ79Gr0dvRv9GP0XfRn9I303/Vd9e/2bfa19sH2pfZ/9mL2VfZa9m/2lPbB9u33Evcw90r3Xvdo92f3Zvdz95L3tvfR99735Pft9/n3/vf59/P3/vgl+GH4ovjb+Qn5J/kt+Q34yfh1+DP4Hfg2+HH4uvkA+Tn5Xflw+YH5ovnb+iH6W/p8+on6lPqk+qn6ifo4+cT5TPjn+Jj4VPgR9833jfdU9yH28vbJ9qT2gvZh9kH2JPYL9fX13PXB9az1oPWd9Zj1hvVn9UT1JfUH9OP0sfRx9C/z9vPK86jziPNn80bzK/MY8wvzAPLz8uny5vLr8vPy+fL78vzzA/MP8x/zL/M9803zYPN184jzkPOL83rzZfNY81jzYPNh81DzLfMI8u7y4PLO8qzyfvJZ8kvyU/Jc8lvyVfJe8oLysfLP8sryqfKF8m/yaPJl8mLyZfJ28pnyx/L88zPzZ/OL85DzavMj8tXynfKQ8qvy3fMM8yDzDfLa8pXyU/Ii8gPx8PHg8c/xvPGn8ZXxivGJ8ZHxlPGF8VvxHfDY8Jvwb/BZ8FrwcPCU8Ljw0PDa8N7w5/D58Q/xH/Eo8SrxKvEq8SfxJ/Et8UDxX/GH8bDx1PHt8f7yDvIt8mfyuPMM80vzaPNv83bzjPOy8+H0FfRU9KX0/vVK9XX1gPV89X/1lPW49eH2C/Y19mP2kvbD9vP3JPdX94v3v/f0+C74cfi9+Q35XPmm+e36NPp/+s37HPtq+7f8BvxZ/LD9CP1f/bX+DP5i/rT/Af9K/5H/2wAmAG8AtgD5ATwBfwHAAf4COgJ3AroDBgNaA7IEBwRYBKQE6QUrBWoFqwXwBj0GlAbxB08HqQf+CFAIpAj4CUsJmwnpCjkKjQrlCz0LkAvdDCUMbAy2DQQNVQ2kDe8ONg56Dr0PAw9PD6AP9hBMEJwQ5BEoEXARwRIYEm0SuRL8Ez4ThxPWFCUUaRShFNMVBxVBFXwVsBXYFfoWHBZAFl8WchZ4FnsWhhaeFrsW0BbYFtQWzhbJFsAWrBaNFmwWUxZGFj0WLBYMFd4VqxV8FVoVQhUuFRIU6xS9FJAUahRIFCMT+xPaE8sT0hPmE/YT9BPcE7ITgRNUEzUTLBM0E0ETRBM6EyoTHBMPEwAS7xLmEvITDRMlEykTHhMlE1cTshQLFDUUIBPkE6MTbhM6Ev0SxhK2EuYTTBPHFDYUkRTaFRUVNhU3FSMVFBUhFUgVdBWPFZQVjhWEFXQVXRVFFTUVMxU4FToVORU7FUEVPhUmFPsU1RTIFNMU3hTTFLMUkxSBFHgUZRQ+FAwT3BOxE4sTVBMjExATIBNAE00TNBL7ErsSghJTEiYR+xHYEb4RqBGQEXgRZhFfEVwRUhE/ESoRHBEWEQwQ9hDhEOERBBFCEX8RoxGmEZERcRFNESUQ/BDdENEQ2RDpEPUQ9xDyEO0Q6BDjENkQzBC/ELUQsBCvELEQuRDIEOIRBhErETgRDhCTD8kO0A3TDPUMQQuyC0MK+ArSCsAKqAp0CicJ3wm7CccJ9wo3CnsKzQs8C9IMgw05Dd0OZQ7ODxsPUQ9uD3YPbw9oD2gPcQ9+D4gPkA+cD6wPtw+tD4sPXg87DzQPSA9mD4MPmw+yD8cP0Q/ID64Pjg91D2IPTQ8vDwkO5A7FDqkOiA5hDj0OJw4lDi0ONQ42DjIOMA4vDi4OLg40DkQOVA5KDhINqw0tDLsMaQw1DBEL8AvRC7ILkAtlCzULCgrsCtUKtQqFClUKOwpAClgKbApwCmkKYwpaCkAKCAm2CVgI+gicCDsH2AeABzwHBQbNBoUGMwXkBaUFcwU3BNEEJAMkAeAAef8V/dL8uvvO+wv6c/oE+b75n/mh+bz53vnw+eH5s/l0+S/46fig+Fv4K/gg+Dr4YviF+Jr4qPi3+Lr4ofhf9/33kfcr9tT2ifZH9gj1yPWC9TX06/St9Hz0UfQj8+7zufOJ813zMvMJ8ubyzfK58qHyfvJU8izyCvHo8cLxmPF08V7xUfFD8TTxOfFo8cTyLfJz8nPyNvHg8ZnxbfFJ8R3w7fDY8PvxVfHK8jTygPK28ujzHvNO823zfvOb89z0QPSn9OX03/Sb9Djz1fN18wDyWPFy8F/vQ+5C7W/szuxZ7Abr0eux66Lroeur677r0uvf6+Tr4uvf69rryeuf61rq/uqZ6jrp6Omo6XnpVuk26RTo8ejO6LHomuiI6Hrob+hh6EzoLegI5+jn1efO59Hn3+gG6FTo0ul66jnq9OuN6+zsBevm66zrdetM6yTq7uqq6mfqM+oH6dvpsumi6cLqEOpr6rDq2+sA6z3rlOv17Efshey17OHtCu0r7UbtX+187Zvtue3V7e7uAe4E7e7tue1m7QDslew67ATr/+wk7FTsa+xX7CLr7OvU6+XsGOxb7KLs6u0y7XrtxO4S7mvu0O8074Xvue/X7/nwNfCM8O/xTPGk8f/yZPLL8ybzc/O99A/0avTB9Qv1VfW19jv24feN+CP4lPjf+RX5S/mN+dr6HPo7+jT6G/oT+i/6Zvqd+sb66PsZ+2H7u/wY/HP80v07/av+GP57/tL/I/91/8oAJAB/ANkBMgGRAgACgQMIA34D1gQTBEsEjgTZBR4FUAVzBZkF0AYbBmwGtQbwByMHXAekB/oIUwidCNII+AkfCU4JewmSCYYJYAk8CTUJVQmKCbcJyAm/CbIJuQncCg0KNQpICk4KWgp6CqwK5gsfC1YLiAuuC78Lvgu8C8kL6AwMDCkMQwxmDJsM1w0IDSgNQg1rDacN6g4hDkUOZQ6UDt0POQ+VD9sQBBAVEBwQFg/rD3cOpQ2EDEILCAnkCMgHsQa/Bi8GKwajB1YH9whdCI4IpQiyCLMIoQh+CFMIKggDB9gHqAd0BzwHAwbHBooGUAYbBeYFsAV3BT8FDATeBLIEhgRYBCcD8gO7A4IDTAMYAuYCtAKBAlECJQH9AdYBrQGCAVcBLAECANUApwB6AE4AJP/7/9L/q/+G/2L/PP8W/vL+0v66/qf+lv6D/nD+Xv5P/kL+MP4V/fH9x/2a/W/9Rf0g/P383fy+/J/8hfxv/GH8WPxR/Er8P/wv/Bv8A/vn+8T7mftn+zP7Bfre+rr6mvqK+qD65vtJ+5X7nPtT+ub6k/qB+qf63vsI+yD7NftP+2X7bfto+2T7avt0+3X7aftZ+1D7T/tM+0D7L/si+x37GPsM+vv67vrt+vX6/Pr++v/7B/sY+yn7NPs2+zT7Lvsi+wv67/rc+tr66vr8+wT6//r1+vD68/r6+wH7BvsK+w77EvsT+xL7E/sZ+yb7NvtF+1D7V/tc+177YPtg+2D7Yftk+2n7cvt8+4T7h/uE+3z7c/tr+2T7YPtf+2P7avtx+3f7eft4+3P7bPtj+1r7UvtJ+zz7KfsT+v/68vrr+uj64frW+sb6tvqm+pj6jvqK+oz6j/qN+oD6Z/pI+ir6E/oF+f75/fn++fv57fnT+bL5kvl7+XD5bvlr+WD5Sfko+QX45fjM+Ln4qfiX+IL4Z/hI+CX4BPfm9833tveh94/3g/d+93f3aPdM9yf3A/bm9s/2ufae9n32WPYw9gf14PXB9av1nPWN9XP1TfUe9O70wvSe9H/0Y/RF9CT0AfPi88bzrvOY84TzcfNe80jzLPMO8vPy3/LP8sDyrfKa8ozyg/J78m7yXPJL8j3yMfIh8g/yAfH48fTx7vHm8d3x1/HQ8cLxq/GS8YLxe/F48XDxY/FW8U/xS/FI8UbxSPFR8VnxW/Fa8VzxZ/F08Xbxa/Fd8VnxY/Fw8Xbxd/GD8aLxzfHv8ffx5fHP8dHyAvJn8u/ze/Pr9Cz0QfQ99DH0JfQg9DD0bPTf9Xn2EfZ89qf2nfZ69ln2R/ZG9lb2cfaT9rb23PcE9yj3Pfc59yL3DfcP9y73Wvd+95T3p/e/99n35fff99T33vgN+Fj4pPje+QD5DvkH+OH4mfg99+73y/fg+Cb4hPjg+SX5SvlW+V35ePmw+fn6N/pZ+mP6afp2+nv6W/oH+Yz5C/ih+FH4EPfR95D3VPcj9v723vbA9p/2ffZc9j32IvYI9ez1zfWw9Z31mPWb9Zn1ivVs9UT1GPTp9Lb0f/RL9B3z9vPT86/zi/Np803zNvMj8xDy/fLr8uDy3fLi8ury8fL18vzzCPMb8zPzSvNf83PzhPOS85zzpPOn86PzmPOM84PzgfN982vzSPMb8vPy1fK98qLyg/Jt8mfybPJr8l3yTfJR8nTypfLK8tHyvvKl8pHyhPJ58nLyefKW8sby//M282jzj/Oh85LzYPMa8tnytfK18tHy9fMO8wzy6/Kv8mfyIvHr8cfxr/Gg8ZTxifF98XHxZvFe8VHxNfEA8LfwafAt8A7wCvAX8C7wTPBv8JDwp/Cw8LTwu/DJ8Njw4/Do8Onw6fDq8Ozw8vEA8RvxPvFk8YfxpvHA8drx+PIo8nHyzvMp82rzh/OP85nzs/PX8/n0GfRH9JX0+/Vc9Zj1pfWT9YL1hPWe9cT17/Yb9kz2fvax9uL3E/dG93n3rfff+BT4UfiZ+On5O/mH+c76E/pc+qv6/ftO+5777/xF/J789P1G/Zb95v44/on+1f8d/2X/sQAAAE0AkwDWARoBYgGrAe8CLAJmAqMC6QM0A4IDzQQXBGEEqgTxBTYFfAXHBhoGdAbRBysHggfYCDAIiQjhCTQJggnPCh8KdQrNCyQLdgvDDA4MWQylDPUNRg2XDeQOLA5uDqsO6Q8rD3cPyxAiEHMQuxD9EUcRnhIAEmISuBMAEz8TfhPBFAQURBSAFLsU9xUxFWMVjBWuFdEV9RYXFjAWPBZCFk8WahaPFq0WtxavFqMWoBamFqcWkhZnFjQWDBX2FesV3RXDFZsVbhVGFScVEBT6FN0UtxSNFGcURxQpFAYT3hO9E7ITvxPZE+kT4BO7E4MTRxMTEvIS5hLrEvQS9xLxEugS5BLmEuYS4BLcEuMS+BMLEw0TABMAEy4TiRPvFCkUGxPQE3ATGxLcEqwSiBJ4EooSwBMNE2YTxhQsFI4U1xT8FQYVDhUpFVYVgBWTFZAVhBV8FXYVbhVhFVYVUBVJFTkVIxURFQoVBxT7FOUU1hTgFP8VGBUMFNkUmBRlFEkUNxQfE/4T3BO4E4wTXBMqEwoTAxMNEwwS8BK6EnsSQhIUEe8R0hG6EacRkxF7EWMRURFJEUERMhEZEP8Q8hDxEPAQ4xDNEL0QwxDhEQYRIBElERoRDBEAEPgQ8BDqEOoQ8hD+EQcRBxEBEPkQ9RD2EPUQ7xDdEMMQpxCVEJIQoRC+EOQRChEfEQgQpw/xDvsN/A0lDI0MHwu7C08K5wqTClQKFAnDCWwJMwk1CWwJtQntCg8KOwqXCy8L8Ay3DWoOAA5+DucPOQ9tD34PeA9qD2MPaQ93D4YPkw+gD6wPrQ+WD2YPLQ8FDwAPGw9BD18PcA98D4wPnA+fD48Pbw9ODzYPJQ8XDwYO8Q7YDroOkw5mDjoOHQ4UDhwOLQ48DkUOSQ5IDkYORw5TDmoOfg52Dj8N2g1fDO8MnAxhDC8L+gvCC4kLTwsQCtAKlwppCkIKGwn0CdwJ4goDCigKPgpDCkkKWApmClgKIAnHCWYJCgivCEoH4Ad/BzYHBAbbBq8GfgZOBiAF6wWfBSsEfgOPAmABA/+Y/kL9HPwv+3j67PqA+i75/fn1+hX6S/pz+nH6Qvn3+aj5XvkW+NH4mvh9+Hz4jPic+K74yvjy+Rf5IPj5+KT4MPew9zL2vvZa9gX1uvVw9Sf05fSx9If0XPQn8+rzr/N/81fzMfMH8t/yvfKj8ojyZ/I+8hTx7PHE8ZzxefFi8VXxTPE/8TXxQfFw8bjx9PH48bPxP/DR8I3wb/BX8Cvv+u/28Evw9vHB8mjyy/L+8yfzXfOQ86jzpfOr8+P0UvTO9Rf1CPSx9Ejz/PPX87rzd/Ls8hXxBO/Y7rDtq+ze7E7r8+u665Treuts623rd+uE65Hrn+uv67rrteuV61nrDeq76m3qJenl6bDph+lp6VDpOeki6Q3o/ejz6PDo7ejk6M3oqeiG6HXogOil6NnpHumA6g3qx+ud7G/tGu2E7ZvtXuzj7FTr1et16yXqz+ps6g3pxOmT6WzpRukq6SzpUumP6dDqFOpq6t/ra+v27GbssOzd7PntC+0b7S7tR+1k7X7tku2o7cjt9O4i7kHuQu4f7d7tiO0x7OzsyuzL7N3s4ezC7IHsN+wG7APsL+x47MftDu1K7YPtw+4S7m7u0e8s73DvmO+x79XwGvB98OvxTPGg8fTyVvK/8x7za/Os8/P0RfSc9PH1SfW29kb28fec+C74l/jf+RT5SfmH+cn5/PoO+f755Pnd+fr6MPpp+pn6yvsL+2H7wvwj/IH84/1L/bj+Hv58/tT/Kv+B/9sAOwCfAQIBYQG9AiECkwMPA4AD2AQZBFAEjQTPBQsFOwVlBZYF1wYmBngGxQcGB0EHewe9CAoIWgihCNMI9QkYCUgJhAm2CcYJsAmJCXIJfgmmCdAJ5gnmCeMJ9AoiClsKhwqXCpMKkQqiCskLAgtEC4gLwAvcC9YLvQuvC78L6AwVDDcMWQyMDNMNGw1JDVoNZw2NDc4OFA5FDmMOhQ7EDyQPjA/fEA0QHhAiECUQGA/bD08ObQ1SDCkLDAn4CNwHvwbTBlgGbAbwB5kIIghzCJkIrAi2CLEImQhyCEUIFwfpB7kHiQdZByUG6QajBlwGGgXhBasFdAU9BQkE3ASzBIwEYwQ6BA8D4AOrA3MDPAMIAtYCogJtAjoCDQHlAbwBkgFmAToBDwDjALQAhgBcADYAEP/n/7z/kv9s/0r/J/8C/tz+vf6o/pz+k/6H/nn+bP5i/lj+SP4s/gX91f2k/XX9Sf0f/Pj81Py0/Jb8fPxn/Fb8S/xF/EL8Pfwz/CH8Cfvs+837qft8+0f7Evrn+tT65/sk+4f79vxF/Ev79fti+s76dvpt+pr60/r/+x37OftU+2T7Zvtj+2r7ffuO+477ffts+2X7Z/tl+1b7P/su+yb7H/sS+v/68vry+vr7A/sI+wr7EPsZ+yD7Ifsi+yX7Kfsm+xT69/rf+tn65/r++wz7C/r++vP68vr7+wb7C/sK+wT6/fr4+vf6+/sH+xj7Kvs6+0X7SvtO+1D7UvtS+1D7T/tR+1b7Xvtl+2z7b/tw+2v7ZPtb+1T7UvtV+1z7ZPtq+2z7a/tp+2T7X/tY+1L7TPtE+zf7JfsQ+v368Prp+uP62vrL+rj6pPqT+ob6fvp6+nj6dfpt+l36Rvor+hL5/vny+e757/nx+ez52/m++Zr5evlj+Vr5WflY+VD5Pfkf+Pv42Pi7+KX4lviI+Hj4YvhF+CP3//ff98L3qfeS9333bvdm92D3Uvc49xX28PbR9rn2pPaL9mz2R/Ye9fL1yvWr9Zn1jvV/9WL1NfUB9ND0qPSJ9HD0V/Q79B3z/PPc873zofOH82/zWvNH8zLzGPL68t7yx/K28qbyk/KA8nHyZvJc8k3yOvIp8hvyEfID8fPx4/HZ8dLxyPG78a7xpPGc8ZDxffFn8VbxTvFL8UXxO/Eu8SPxGvEU8RPxGvEl8S3xK/Ei8R7xJfEx8TXxL/El8STxLfE58UDxRvFV8XPxm/G78cfxvPGm8ZjxrfH28nHzBPOI89zz/vP98/Lz5vPf8+f0FPR39Qv1r/Y49oj2nvaN9mz2UPZB9kL2TvZh9nb2kfa09tr28vbx9tr2wfa+9tj3A/ct90/3bveO96v3ufe297H3xff/+FP4pfjd+PP47/jY+K34b/gp9/P34Pf4+DD4dvi7+PL5Gfky+Uz5dPmw+fP6JPo2+jT6M/o/+kX6JPnL+Uj4wPhT+An3z/eV91f3H/b39t/2zPa09pX2c/ZT9jj2IPYG9ef1xPWo9Zn1mfWd9Zn1h/Vm9Tv1CfTS9Jv0afRB9CL0A/Pf87XzjPNq81HzPPMp8xbzBfL38u3y6fLp8u3y9PL+8w7zJfNB813zePOP86PzsvO888PzyvPS89fz1PPG87bzqPOc84jzY/Mx8v3y0vK08p/yjvKF8oTyg/J38mHyTfJQ8nLyo/LN8t3y1vLE8rHynvKO8orynvLM8wnzRvN285XzovOZ83jzQvMH8tryyPLQ8uby+fL88ujyvPKA8jzx/fHJ8aLxh/F58XTxc/Fv8WDxRvEi8PPwtfBn8Bbv1u+4777v2u/68BXwLvBI8GPwePCE8InwjPCR8JXwlfCS8JPwmfCj8K/wv/DX8PnxIvFJ8W3xjvGv8dHx9fIj8mTytPMG80fzcfOR87nz6vQW9Cv0M/RJ9Ir08vVg9af1tfWb9Xv1cPWB9aX10fYB9jT2avae9tD2/vct92D3lffN+AX4QfiE+M35GPlg+aX56vo1+of63vsz+4b72Pwu/Ib82v0o/XP9vf4L/ln+pP7s/zb/hv/YACYAagCqAO4BOQGHAdICFQJTApEC1AMYA1wDnwPlBDAEfQTKBRQFXgWuBgUGYwbABxkHbwfGCCIIfwjZCSwJegnIChwKdArPCykLgAvUDCUMcwy/DQsNWQ2oDfUOPg5/DrkO7w8pD20PuxANEFkQmRDXER0RdxHgEksSpxLxEzATaxOnE+YUJBRlFKcU5xUdFUYVZRWCFaQVxxXkFfYV/xYMFiYWThZ1FokWhBZwFmAWYBZpFmYWShYYFeQVwBWwFaYVkhVxFUkVIxUIFPcU6hTZFL0UlxRrFEUUKBQRE/YT1BOyE6AToROuE7MToRN4E0ETDRLnEtQS0RLVEtMSxRKxEqMSphK3EsgSzxLMEs0S1xLkEuoS5xLxEyATdxPWFAkT7hOLEwwSnhJYEjISGxIHEfsSAhImEmkSzRNKE88URBSZFNIVABUyFWYVjBWYFZEVhxWJFZIVmBWUFYcVdxVgFT4VExTrFNIUxhS8FK8UqxS/FOcVCBT/FMMUbhQiE/UT5BPcE9MTxBOuE28TPhMGEtQSsxKjEpUSfBJXEi0SCBHrEdYRxRG0EZ8RhRFnEU0ROxEyESoRFxD5ENkQxBC9EL0QuRCqEJUQhhCIEJgQrhDBEM8Q2xDoEPMQ+xD7EPoQ+hD+EQMRAxD9EPUQ9BD9EQoRDxD+ENkQrRCOEIsQoBC7EMoQxBCkEF8P4Q8hDjQNTAyfDDwMBgvLC3ILAgqUCjAJyQlZCPoI1QkCCWYJwgnnCdsJ2QobCrQLhgxfDRkNsQ4zDqcPCw9SD3YPeA9oD1YPTw9SD1kPYA9mD2oPaA9VDyoO8g7DDq8OuQ7ODtoO2Q7UDt0O9A8MDxQPBg7uDtwO1w7cDtwO0Q65DpsOeQ5UDi8ODQ34DfUOAw4aDiwOMQ4mDhYODA4TDisOQQ49Dg0NtA1IDOMMkQxNDAwLxwuEC0YLCwrMCoYKQAn/CcYJlAluCWEJdQmeCcUJ1wnbCeYJ/woXChIJ4AmQCTkI5giQCC4Hygd2Bz4HGgb3BswGnAZsBjsF/gWpBTYEnQPRAsUBewAQ/qz9ePyI+9n7XPr8+rD6fPps+ob6ufrl+ur6v/p0+iH51PmN+Ur5Efjr+Nn41/jd+O75EvlI+X/5oPmZ+Wb5C/iR+AT3cfbl9mb18/WJ9S706PS89J70efRE9ATzx/OY83LzS/Md8u3yw/Kf8nzyVvIq8f7x0vGo8YPxZfFS8UjxQvE/8UPxVvFy8YXxcPEi8KXwH++975Dvhe9270/vKe8777TwivF/8kXyuvL28yvzcvO68+Pz6vPz9Cz0nfUW9Vj1QfTn9H/0NvQX9Arz7vOo8yLyT/Ey7+Tul+187LDsLevb65/rcOtN6zvrN+s56z/rS+tb62jrZ+tO6yDq6eqy6oDqT+oc6evpwemj6ZHph+mE6YPphemJ6YvpiOl66WHpS+lN6Xvp1epI6r7rLeuk7Dfs5u2c7jTuke6l7nHt/u1g7LTsFeuR6xvqouoh6avpUuke6P7o4+jM6MLo0uj66TXphun26orrNuvf7Gvsze0H7STtMO067U3ta+2L7aHtqu2w7cLt6O4b7kvube567nHuU+4j7e7tw+2s7aHtku1o7R/sxOx27FTsa+ys7PrtPu1x7Z7t2O4j7nru0e8c71Pvee+c79HwJfCR8QDxXfGq8ffyVPK88x3zZ/Og89v0JPR39M71L/Wm9j727feW+CD4gvjF+Pz5Ofl++cL58Pn6+eX5yfnD+d/6EfpK+oH6v/sO+2z7zfwq/If87P1Y/cT+J/6D/t7/PP+a//gAVgC5AR4BfwHZAjMClAL8A18DswP3BDcEegS/BP0FMwVoBaUF6wY1Bn4GxQcJB0wHiwfICAsIVAiZCM4I8wkYCU4JmAniCgsKBQnbCbAJogm4CeAKAQoSCh8KOgprCqMKzArWCssKvQrDCuQLIAtwC8MMAQwTC/sL0wvAC9UMBAwwDFAMeAy/DR4NdA2eDaANnw29Df4OQw5zDo8OtQ7+D2YPzxAZEDoQPhA3ECoQCA+yDxEOKA0UC/gK5QnSCLQHoAbNBnUGpAcuB8kIPQh9CJ0IrgiyCKMIhAhdCDcIDQfbB6EHaQc3BwYGywaBBjEF6AWpBXIFPQUKBNsEsQSJBGMEPQQaA/cDzQObA2EDJwLyAr8CiwJWAiQB+AHPAaYBegFMAR8A8gDFAJYAaABBAB///v/Y/7D/iP9l/0T/IP73/s/+sP6f/pn+lv6P/oX+e/5y/mn+WP49/hf96P22/YL9T/0d/PD8yvyr/JL8e/xn/FX8R/w//Dz8OPww/B/8B/vs+9P7uPuR+1v7Hvr0+v37Tfvd/Ib9DP00/OL8LPtW+qz6Xvpn+pz60vr4+xf7OPtY+2j7Z/tj+237hfuc+6H7lfuI+4T7hft/+2z7Uvs/+zT7K/sd+wv6//r8+wH7CPsO+xb7H/sk+yL7GfsR+xH7Gfsd+xX7Afrt+uX67/sC+xH7E/sJ+v36+fsB+wz7E/sP+wP69/rv+u368fr6+wj7Gvsr+zf7P/tD+0b7SPtI+0b7RftG+0n7TftQ+1L7VPtW+1b7U/tM+0X7QftC+0b7TPtR+1P7U/tR+037SvtI+0b7Q/s9+zL7I/sR+v/68Prk+tn6zPq7+qf6k/qD+nj6cfpq+mL6WPpN+kD6MPoe+gv5+vnu+ej56Pno+eD5zfmt+Yf5ZPlO+UX5RvlH+UL5MfkU+PH4zfiu+Jj4ifh/+HP4YPhD+B/3+ffV97b3m/eA92j3VvdN90r3Qfcs9wv26PbJ9rP2oPaI9mr2RfYa9e71x/Wq9Zr1j/V99Vr1J/Tv9L30l/R69GL0SfQt9A/z7vPL86rzi/Nu81TzPvMr8xjzAPLj8sTyqfKV8oPycfJf8lDyRvI88i/yHfIK8frx7vHi8dPxxfG58a/xovGS8YLxdfFs8WHxUvE/8S/xJ/Ej8R7xFvEM8QHw9/Dx8PDw+PEC8Qbw//Dz8Ozw7/D58P7w/PD38PnxAvEN8RfxIvE28VLxcPGJ8Zbxl/GL8XzxffGn8gfyjvMX83nzqPOx86zzqPOo87Lz1vQn9Kj1RfXd9lH2kvah9o72afZH9jP2L/Y29j72R/ZW9mz2gvaP9o/2ifaK9pz2vvbm9w33MfdQ92j3d/eA95H3uPf6+E34mvjM+Nj4wviU+F34KvgL+Aj4IfhF+GT4efiO+K743vkZ+Vj5mPnW+gn6IfoZ+gD58fn6+gn59/mp+Sr4n/gv9+P3rPd29zz3CPbl9tD2v/ak9oD2WfY49iD2DPX19dn1u/Wk9Zr1mfWY9Yz1cfVK9R307vS/9JL0bPRN9C/0DPPg87PzjPNv81rzSPM28yfzH/Mc8xnzFfMS8xLzF/Mk8zjzVPN085XzsfPI89vz6fPz8/nz/vQG9Az0CfP78+Pzy/O1857zffNQ8x3y7vLK8rDynvKS8oryg/J28mbyXvJp8orytPLX8uby5PLY8snyu/Kz8rvy2/MO80fzd/OT85rzj/Nz80rzG/Ly8tny0/Lc8ury7/Li8sDyifJI8gfxz/Gh8X3xZvFe8WXxbvFq8UzxFPDM8H7wMO/l76fvhO+E75/vxu/l7/rwCPAa8C3wPvBI8E3wUvBW8FbwUPBK8ErwVPBj8HXwivCn8M/w/fEr8VbxgvGu8dfx+/Ie8knygfLA8vvzMfNp86zz8/Qq9D/0PPRE9Hf01fU79YH1kvV89V71VfVl9Yf1sfXh9hf2UfaK9r727PcY90n3gPe89/r4N/h0+LL48vk0+Xb5vfoL+mL6vvsZ+2/7wvwV/Gn8u/0I/VH9mv3m/jL+fP7E/w//X/+x//4AQwCCAMQBDAFaAaYB7gIzAngCvQL/Az4DfQPDBBAEYgSyBP4FSwWcBfUGUwaxBwsHYwe9CBoIdwjRCSQJdQnICiEKfwrdCzsLlgvuDEIMkAzaDSINbA24DgQOTQ6RDs0PBQ8+D30PwxANEFEQjBDGEQsRYxHKEjASiBLPEw0TTBOME80UDRRPFJAUzRT+FSAVOhVUFXMVkhWqFbkVxhXcFf0WIhY8Fj8WLBYUFgcWCBYNFgIV4xW9FaQVohWpFaMVgxVOFRgU8BTcFNMUyhS3FJYUaRQ4FBAT+BPsE98TyROrE5ATgRN5E2oTShMcEu4SzxLJEtYS6BLuEt0SuBKNEnMSdhKQEq8SwhLHEsYSyhLUEt4S6hMEEzoThRPJE9sToxMuEqYSNxHzEc8RtBGWEX8RgxGvEgMScxL0E3YT7hRTFKUU6BUlFVsVfxWOFY8VkhWgFbUVwRW8FaYVhRVbFSYU6RSxFIgUcBRgFFAUSBRYFIAUqhS1FI4URRP6E8kTtxO0E7ETpxOSEzQS+xK/EocSXRJCEi4SGRH/EeQRzRG/EbYRrBGcEYARXRE4ERwRDBEGEP8Q7hDQEKwQjBB5EHUQdRBwEGEQTRBDEEwQahCVEMAQ4hD3EQEQ/hDzEOUQ3BDdEOUQ7BDuEOwQ7RD5EQoREhEAENIQnhCBEIwQrhC+EJoQPA+9DzYOrA4QDWAMtgw6C/wL5QvGC4MLIQq1CkgJ0QlTCO8I1wkaCZEJ7An5CcsJrQnnCokLaAxHDP0NiQ38DmYOyA8XD0oPXg9YD0QPMQ8jDxoPEw8ODwwPDQ8HDu0OvA6CDlQOOw4vDh0N/w3jDd4N+g4qDlQOaA5qDmwOeA6LDpQOiQ5tDk0ONQ4jDg4N8Q3TDcYN0Q3vDgoODQ3yDccNpQ2cDa0NxA3HDaYNYA0EDKYMTAv1C58LTwsOCuEKvgqUClsKFwnQCY0JUQkhCQYJBwkaCSwJMwk4CUwJcgmWCZsJeQk9CPkIsQhfCAAHpgdoB0oHNwcWBt4GmQZUBhAFxwV0BRkEqwQPAygB7QB//xb95Pz+/F377vub+1r7KfsP+w77H/sv+yv7C/rV+pX6UvoL+cL5fvlO+Tf5OflN+XP5pvnf+hP6Nfo++in58vmX+Rn4hPfk9z/2lvXz9Wj1BvTR9LX0mPRp9C/z+PPL86Hzc/M+8wny2fKs8n7yTvId8e/xxPGc8XjxWvFE8TXxLvEz8UPxVvFV8SfwxPA777HvRu8L7vbu6u7O7qPuie6y7z/wJPEm8gHylPLx80Hzm/Px9Cn0QvRd9J71B/Vt9Zz1gfU09N30k/RW9B/z7vO+83ny9fIQ8NDvau4n7TbsmOwx6+LrnOtj6zrrIOsN6wDq++r/6wbrB+r56uDqxOqs6prqh+pt6kzqKOoI6fTp7un36gnqIOo16kPqSOpG6kbqXOqf6xvrw+xz7Qbtcu3J7iXuj+7w7yjvI+7q7o/uIu2n7SHsl+wO64Tq9Opg6dXpZekY6OToveif6JDol+i06ObpLumV6h3qwOtr7Ansi+zm7RztNe1E7VrtfO2h7bztye3R7d/t+u4e7kTuae6N7qnut+607qTukO6B7nbuZO477fTtku0v7Ors3e0D7UPtf+2s7dTuBu5J7pLu1u8P70Dvcu+r7/XwUPC48R3xdPG/8g3yaPLN8yjzbfOi89b0FPRd9K/1EvWU9jf26/eO+Ar4W/iW+NP5IPl6+c76AvoG+ef5wfm0+c36APo7+nr6w/sd+3/73vw3/JP8+/1r/db+Nf6P/u7/Vf+7ABoAcwDNAS0BjQHqAkMCngL4A0sDkwPUBBkEZgSyBPYFMgVwBbQF+wY9BnoGuQb+B0YHiAfCB/4IQQiHCMQI8QkZCVIJown+CkAKUAoxCf8J3AnaCfMKFQozCk4KcQqgCtAK7wr2CuwK4grrCw0LSwubC+sMIwwsDA0L5AvXC/AMHQxFDGoMpA0IDYIN5A4JDfsN5w32DikOYw6ODrEO5Q83D54P/hBCEGMQZhBTECcP3A9kDrUN0QzHC68KlAl3CFwHXwa0BoQGzAdXB+IIRAh+CKAIswiwCJIIZQg7CBsH+AfGB4YHRgcRBuEGqAZdBgkFuAV0BTwFCgTdBLUEkARqBEIEGwP4A9kDswOCA0kDDwLaAqgCdgJDAhMB6AHAAZUBZwE2AQYA2ACrAH4AVAAxABP/9f/U/7L/kP9x/1D/K/8B/tr+v/6v/qj+ov6Z/o7+g/56/m/+Xv5F/iL9+P3I/ZP9XP0m/PX8zvyu/Jb8gfxu/F78UvxJ/EP8PPwx/B78Bfvt+9j7wfuf+2n7K/sG+yH7kPxD/QP9hf2M/Qv8LvtF+qD6Yvp4+q362vr1+w77MftX+2/7c/tw+3f7jPui+6z7qvum+6X7o/uY+4L7a/tZ+037Qfsx+yD7FfsS+xH7EfsU+xz7Kfsx+zD7JfsZ+xL7EfsS+w77BPr2+u367vr5+wr7FvsY+xH7C/sK+w/7EvsP+wb6/Pr2+vP68vry+vj7BfsV+yP7LPsw+zP7Nfs2+zf7Nvs3+zn7Ovs6+zj7OPs5+zz7PPs4+zL7Lfsp+yr7L/s2+zz7QftB+z77PPs6+zr7OPsx+yf7GfsJ+vf65vrW+sj6u/qs+pr6ifp6+nD6Z/pc+k76QPo1+i36I/oV+gX59fno+eH53fnZ+c/5u/mc+Xb5VPk9+TX5Nvk4+TH5H/kC+N/4vPic+IP4dPhr+GL4Ufg3+BX38PfO97D3lPd191j3Q/c79zz3Ovcq9wz26PbJ9rL2nvaE9mL2OPYK9d/1vPWj9Zb1ivV19U/1G/Tk9LT0j/Ry9Ff0PPQg9ALz4vO+85vze/Ne80TzLvMb8wjy8fLU8rPylPJ88mvyXPJM8j3yMvIq8iDyEPH98enx2fHL8b/xsvGo8Z3xkfGB8XHxYvFV8UjxOPEl8RbxDfEI8QTw//D48PDw6fDj8OHw5fDq8Onw4PDV8M7wz/DV8Njw1/DX8Nzw4/Dq8PLw//EU8S7xRPFU8WHxbvF08XDxa/F/8cHyMPKw8xnzWfN184DzhvON85bzrfPl9EX0xvVX9d72SPaH9pX2fPZQ9ij2EvYO9hD2DvYL9g72HPY09kz2XPZk9m32f/af9sb26fcD9xX3KfdI93b3sff0+Dn4c/iY+Jv4efg89/n3zvfR+AD4Rvh9+I34fPht+IH4wfkb+XP5uvnw+hL6GPn++c/5rPms+cb50Pmi+Tf4r/g39+P3q/d690b3Ffbv9tP2t/aR9mP2NPYQ9ff15PXT9b/1q/Wc9ZT1j/WE9Wz1R/Uc9PL0zfSt9JL0efRc9Dj0CvPY863zkfOB83PzYfNP80TzQ/NK81HzVfNY81vzYPNm83Hzg/Of88Dz3/P49Az0HPQn9C70MfQ09Db0NPQm9Avz6/PM87PzmvN781PzKPL+8tfytPKX8oLyd/J18n3yjfKl8sDy1/Ll8ujy5vLh8t7y4fLt8wTzJfNI82bzd/N5827zV/M68xvzAvLx8uny5/Lo8ury5fLP8qPyY/Ia8djxovF38VbxRPFH8VvxbPFg8Svw0vBt8BHvx++S73Lvae9375Xvte/L79fv4O/r7/fv//AD8AjwEfAb8CDwHfAY8BnwI/Az8EXwW/B68KXw1/EL8T/xdfGr8dvyAfIe8jzyYvKR8sLy8vMp82zztfPx9A/0F/Qi9Ev0lfTn9SX1QfVC9T31QfVS9W71kvW/9fb2M/Zz9q724vcP9zz3b/eo9+X4IfhZ+I/4yPkH+Ur5k/nj+jv6mvr6+1T7qPv5/Ej8l/zk/S79eP3D/g3+Vv6e/uf/Nf+E/9EAFwBbAJ8A5gEvAXcBwAIKAlUCngLjAyMDZAOsA/oETQSeBO0FPAWPBecGRAahBv0HWAe1CBIIbgjGCRsJcAnJCicKhwrlC0ALlgvqDDoMhwzRDRoNZQ2xDf0ORQ6MDs4PDQ9JD4gPyxAQEFMQkRDQERgRbRHKEiESaxKsEu0TMxN7E78T/BQ1FG4UoxTPFO8VCBUgFTsVVRVqFX0VkxWwFc8V5BXnFdYVvhWtFasVsRWxFZ8VhRV1FYMVqhXPFdQVrBVnFSAU7hTTFMMUrxSNFF0UIxPtE8gTuxO+E8ITuhOkE4sTcxNZEzMS/xLGEp8SmhK3EuUTDRMWEvkSwRKIEmcSaRKFEqgSwhLQEtcS3hLnEvQTCRMvE2MTlhOuE5ITPxLMElwSBhHMEZwRZxE4ESkRUhGzEjQStBMlE4cT5hRDFJoU4xUcFUcVZhV5FYYVkhWiFbEVtBWiFXkVQBT8FLEUZRQkE/kT5RPcE9MTzRPZFAAUNRRbFFsUNhQCE9YTvhOwE6ETiBNjEuESpxJzEkgSKhIUEf8R5xHKEaoRkBF9EXERYxFOES4RBxDiEMcQuBCxEKsQnxCJEGoQShAzECsQMBA3EDQQKBAiEDIQXRCaENQQ+REFEPwQ5hDLELQQqRCsELwQzxDdEOIQ4RDkEOcQ4BC/EIQQSxA7EGQQphC+EHAPuA7PDfsNYgz0DJIMMwvqC8YLvQutC3sLLQrUCnYKCwmSCS8JEQlKCa4J8wnsCbUJnAnjCo8LbgxADOcNZA3LDicOfA7GDwAPJw83DzQPJA8SDwAO7g7eDtQO0w7SDsEOkw5PDgoN0g2nDXgNPQ0EDOoM/w08DYINtQ3QDeMN/Q4dDjMOMA4XDfgN5A3dDdUNwg2sDaMNtw3dDfsN9A3CDXsNQA0nDTINSg1UDT4NBgyzDFEL6Qt/CxsKyQqTCnoKbgpbCjYJ/gnACYMJRwkPCN0IuQifCIsIfgiCCKII2AkJCR0JDwjqCL4Ihwg9B+QHkgdgB00HQAccBtoGhQYpBc0FcwUmBOsEsQRHA30CTgDo/5P+hP3C/TX8w/xj/BX72/ux+5H7d/tf+0n7MfsW+vL6v/p4+iP50vma+Yn5oPnY+iL6b/qu+tf66/rv+uP6wfqA+h75n/kI+Fb3iPaw9ez1XPUI9Nv0t/SL9Fr0K/QA89DzmfNg8yry+PLF8ozyUPIZ8enxvfGU8XDxU/E78SjxG/Ec8SvxMvEP8K3wGO997wvu1u7H7rvumu5k7jTuLu5z7w/v9PD38eTymvMd84Xz4/Qy9Gn0i/S29QD1YvWy9c/1svV29TP07fSY9Dbz4vOy85XzUfKt8Z3wUe8W7iDtduz67I/sKuvP64XrSusa6vLq1erF6sLqxurK6szqzerQ6tXq2OrU6sXqq+qN6nXqbup86pzqxert6xLrN+th65zr8exs7QvtvO5b7srvBe8h7z3vX+9z71vvEO6o7kft/u3D7YPtLuzG7E/rzutD6rTqKumu6UXo8ei16JPojuig6MTo+elC6abqKOrA62Lr+uxz7MHs5uz07QHtHe1E7W7tle257dzt/O4Y7jHuTe5v7pHur+7H7t3u9O8K7xjvFO767sPucu4S7b3tkO2T7bft4+4E7iHuR+577rTu5+8W70vvju/e8DbwjvDl8TrxjvHi8jryl/Ly80HzgPOz8+X0GvRV9J31A/WR9kH29feK9+/4Lfhh+Kf5C/mC+e36Kvoq+fv5xPmr+b/59Po0+nn6yfso+4777vxG/KT9Dv1//ef+Qv6Z/vv/av/aAD4AlgDrAUQBogIAAl0CuQMOA1UDkQPKBA4EXQStBPQFMwVzBbsGAwZDBnwGtgb5B0AHfgezB+kIKwh3CLwI8gkdCVIJoQoBClgKigqLCmgKPAofChkKKApECmcKkAq8CuIK+gsECwkLFQsvC1gLjQvIC/8MIgwjDAoL8QvwDA0MNgxeDJAM5A1kDewOSg5gDkIOIg4iDkIObg6aDtEPHg9+D90QKxBkEIgQkBBtEBkPmw7/DkUNaQxmC0MKFAjoB9gHAgaNBo0G7Qd1B+4IPghwCJYIrQioCIAIRggVB/QH1wepB2oHKQbyBsEGhwY7BeUFkwVNBRQE5AS8BJsEfARZBC8EBAPdA7gDkQNhAywC9wLHApoCawI6AgkB3AGxAYQBUwEhAPAAwgCWAG4ATAAxABkAAP/j/8X/qP+L/2r/RP8c/vv+4/7T/sT+s/6g/pD+hP57/m/+Xv5F/iX9/v3R/Z79af01/Qf83/y9/KH8i/x8/HL8avxh/FX8Sfw5/CX8Dvv4++L7y/up+3b7PfsZ+yr7gPwL/J78//0A/JX74Psi+pz6bPqD+rb64Pr5+w/7L/tX+3f7hfuJ+4/7nPus+7b7u/u/+8D7vPut+5f7hPt4+2z7W/tG+zb7L/su+yz7Jfsg+yT7L/s7+0D7PPsx+yT7F/sN+wb7Afr5+u364/rn+vv7F/sr+y77JPsW+w77C/sI+wP6/vr7+vf68vrs+uv68/sB+w77FfsV+xX7F/sa+x37H/sg+yH7Ivsi+yH7IPsh+yP7JPsj+yH7H/sd+x77JPst+zn7QvtG+0P7Pfs3+zH7Kfsd+w/6//ru+tz6yfq4+qz6o/qa+o76gPpy+mj6XfpP+j/6Mvoo+iH6GPoI+fX55PnZ+dH5yfm/+bL5n/mE+WP5RPkw+Sj5KPkn+R35B/jp+Mb4oviC+Gj4V/hN+Eb4OPgi+AX35/fM97P3mPd391b3Pfc09zf3Ofcs9w325vbC9qf2jvZu9kX2F/Xp9cH1pPWQ9YX1evVj9T31DfTd9LP0kPRv9E70L/QT8/jz2/O685fzdvNZ8z/zKPMS8v3y5fLH8qXyhvJw8mHyVPJE8jPyJPIb8hPyB/H18eDxzfG+8bPxqfGg8ZfxjfGA8XHxYfFQ8TzxJvES8QLw+fD18PPw8PDr8Obw4PDZ8NXw1PDU8NHwyvDB8LzwvPC88LvwuvC+8MbwzfDP8NDw2fDt8QTxFfEf8SvxPvFT8V/xYvFu8Zzx8/Jk8tHzJfNb83zzjvOT85LzlvOt8+L0NvSm9Sn1rvYg9mf2ePZa9ib1+fXg9dr12/XZ9dj14PX29hT2LPY09jT2PPZW9nz2nfax9r/22vcO91X3nvfa+Ab4Jfg0+Cz4B/fM95L3dveN99T4Lfhu+H34ZvhS+Gv4t/kY+Wn5nfnA+d757/ng+bD5fPls+Yf5qPmd+Uv4zPhP9/X3vveV92j3NvcH9tz2sPZ99kb2EvXo9cv1tvWn9Zn1jfWD9Xn1bfVY9Tr1E/Ts9Mr0sfSg9JL0f/Ri9Dj0BfPU87PzpPOf85fzh/N082rzbPN484fzlvOm87TzufOz86jzpfOz89Dz8PQM9CP0NvRI9FT0WfRa9Fv0WfRN9DP0EPPt89LzvfOn84nzY/M28wfy1/Ks8o3yg/KS8rXy3fL68wfzA/L58vHy7vLx8vzzEPMs80zzZPNu82jzWfNG8zHzGfME8vry/vMK8xLzD/MC8vTy4vLE8pHyS/IA8b3xhfFV8TDxHvEp8UfxWvFC8PXwhvAV773vhu9q72HvZ+9475DvpO+w77bvu+/C78jvye/J783v2e/n7+/v8O/u7/Hv/fAQ8CXwPfBf8IrwvfDz8SjxYPGY8c3x+PIb8jzyY/KM8rHy0vL08yLzW/OU87/z2vPx9BP0RvSC9Lz07PUS9S71QfVO9V71ePWh9dj2GPZb9pv21fcH9zH3XPeM98L3+fgu+GP4nPjc+ST5bvm9+hL6b/rQ+y/7h/vX/CP8b/y6/QX9T/2Z/eL+Kv5y/rv/Bv9R/5r/4wArAHUAvwEHAU8BlwHiAi8CewLDAwoDUQObA+kEOASIBNkFLgWGBd8GOgaVBvEHTwevCA0IaQjBCRgJcQnOCi4KjAriCzILfAvEDA0MWQynDPgNSg2ZDeQOKw5xDrcO/A89D38PxBANEFcQoBDoETQRhBHTEhsSWxKaEuATLhN5E7gT6RQUFEIUcBSZFLgUzxTiFPUVBxUaFTMVUxV1FY0VkBWAFWcVVRVVFWMVchVxFV0VRBU/FV4VmRXRFeUVxhWEFToU/hTVFLUUkRRgFCAT2xOiE4UThhOaE6sTrhOhE44TeBNXEyAS2BKUEm8SehKtEu0TGxMhEv4SxBKREngSfhKWErASxBLUEuQS9RMIEx8TQRNvE5wTsBOWE0wS5BJ+EiwR8RG5EXURKRD2EP8RVhHnEoES/BNPE5MT5BRIFK0U/BUrFUQVVBVjFW8VdBVxFWYVTRUiFOIUjhQwE9ITfxNFEywTMhNIE18TcROKE7MT6xQeFDUUKRQDE9YTrxOQE3ATSRMYEocSWBIyEhcSBhH1EeARwhGeEXkRVhE4ER8RCBDvENMQtRCZEIAQbBBdEFMQTRBGEDoQJhAUEA0QFBAhECsQLBAyEEsQexC3EOgQ/RD3EN0QvhCiEI4QhRCLEJ0QtBDHEM4QxxC3EKIQfhBED/gPuw+6EAcQeBCxEF4PdQ5ADSsMegwlC/kL0AuoC5ILjguDC18LIwriCp8KSwnjCYEJTwlhCZgJugmlCXoJegnVCoMLTwwHDJsNFQ2ADd4OLA5tDqcO2w8EDxoPHA8TDwMO7g7WDr8OsA6jDosOWQ4QDcANeg08DPgMqAxZDCsMNQxxDL4M+g0ZDSsNSA14DawNzQ3SDb8Npg2UDYYNfA13DYMNog3FDdANrQ1eDQQMwwyvDMEM3gztDNsMpgxVC/ALgwsYCroKcwpHCjMKJwoUCfIJwwmSCWMJNgkCCMcIhghFCAwH5gfjCAYIQwh7CJcIlQiFCHIIVggjB9kHjgdZBzsHIgb7BrwGbAYNBaAFMwTgBLkEowReA68ClQFSADr/dv7v/nT95v1P/Mz8cPw0/Aj73fuy+4z7cPtb+0L7FfrR+n76MfoA+fv6JPpy+tL7LPtt+477lfuM+3j7VPsb+sv6afnx+VP4iPeg9sD2DfWR9T70/PS/9Iv0X/Q08//zxPOK81nzKfLx8q/yavIt8ffxxPGU8W7xVvFF8TLxHvER8Q7xAvDH8Evvpu8U7sPutO667qXuau4l7gLuIO6G7y/wCvD/8ezys/NL87z0FfRZ9In0rvTf9Sv1h/XO9eD1vvWC9UT1AfSu9E3z/vPc893zyvNo8qHxm/CU77jvDO557evtXezX7F/r9+uc60/rEerm6tDqz+rd6vTrC+sd6yfrKusn6xzrCur26uvq9usc61brmuvd7CDsbezO7ULtw+5F7r3vIO9j74Lvg+9773vvgO9y7zfuz+5Y7fntx+227arti+1W7RPsw+xg6+LrSeqh6gDpdukQ6NDos+ix6MLo4+kU6VnpuOoy6sHrVOvR7CTsR+xM7EvsW+yD7L/tCO1U7Zjtyu3q7gDuGe437lbucu6T7sHu/u8571/vae9d70LvGO7c7pjuYO5J7lDuYu5w7nruj+627ufvF+9G74DvzfAq8Ibw1vEc8WPxtvIW8nry1vMk82TzmfPM8/z0KPRV9JX0//WZ9lD2/Pd99834Afg7+JH5B/mP+gj6TPpJ+g75xvmi+bP56/ow+nj6yvsq+5L79fxQ/LD9G/2M/fT+Tf6k/wf/e//zAGAAvgEVAWsBwwIcAnYCzgMgA2MDmgPQBBIEYgSzBPsFOwV8BcQGDgZRBo0GyQcKB0kHfgesB94IIQhxCL0I+QknCVkJoAn8Cl4KrwraCtcKsAp9ClQKRApQCnIKnQrHCugLAAsUCzALWQuJC7gL3Qv6DBAMHAwaDBAMDAwcDD4MZAyODMsNLw2zDi4Ocw54DlkORA5LDmgOjw7GDxkPgw/rEDYQYxCGEKUQqxB2D/kPSg6LDcQM5QvVCpgJTAgaByYGiwZdBpgHFweiCAkIQghiCH8IlwiWCHAINQgAB90HvweXB14HIQbpBrIGcgYmBdMFhwVHBQ8E3QSyBI8EcQRRBCkD/APOA6IDdQNGAxUC6AK+ApQCZgI0AgIB0AGhAXEBQQEQAOEAtACJAGYATQA8AC4AHQAF/+v/zv+v/4v/Y/88/xz/Bf7w/tj+vP6g/ov+ff5x/mT+Uv45/hr99f3J/Zn9aP07/RL87PzJ/Kv8lvyL/If8gvx2/GX8UfxA/DH8IPwM+/b73Pu5+4r7V/sv+yP7Oftt+6z74Pvw+8z7dvsE+qL6cvp8+qv63vsE+x/7O/tb+3n7jfua+6T7r/u5+8D7x/vO+9P7zvu++6n7mvuR+4X7cftZ+0f7QvtD+0H7Ofsx+zD7OPtC+0r7S/tE+zT7H/sM+wP7Avr++vD64Prd+vL7Gfs6+0P7NPsb+wr7A/sA+v76+vr2+vL67Prn+ub67fr4+wH7Avr/+vv6/fsC+wj7C/sM+wv7C/sL+wz7DvsQ+xH7EvsU+xf7Gvsd+yD7Jfsu+zr7RftK+0b7Pfsx+yP7EvsA+u362/rJ+rf6pPqU+or6hvqB+nn6bfpg+lb6S/o/+jH6J/oi+hv6Dvn5+eP50vnJ+cH5tvmm+ZT5gflr+VH5OPkl+R35G/kX+Qn48fjS+LH4j/hu+FP4Qfg4+DL4KPgV9/335PfO97r3oPd/91z3Qfc29zj3Ofcq9wn23va19pL2cvZP9iX1+vXR9bH1mfWJ9X31b/VV9TD1BPTZ9LX0k/Rv9En0JfQI8/Dz1/O685rzevNd80HzJfMJ8u7y0/K28pjyfPJp8lzyUPI98ibyEPIC8fnx7/Hf8czxuvGt8aPxm/GR8YnxgPF38WvxW/FF8SzxEvD88O3w5vDk8OTw4vDf8Nnw0fDI8MDwu/C58LfwsvCt8KnwpvCi8J7wnvCl8LDwuPC38LTwufDJ8N3w7PDy8PnxDPEm8T/xT/Fg8YXxyPIm8o7y7/M/83jzmPOd85Lzg/N+84zzsvP39F/06fWC9gf2V/Zi9jL16fWs9Y/1kfWf9av1tvXF9dv17fX09fP1+fYS9jb2VfZk9nH2kvbR9yP3bvei97v3v/e095r3dfdO9zb3Ofdd95335fga+Cz4Ivgf+EL4jfje+RH5JPk1+WD5mfm5+aX5cvlS+WH5iPmO+VD43Phj+A333ve895H3Wfcc9uD2pvZq9i719vXI9aX1i/V59Wz1YvVW9Uf1M/Ub9P/04/TI9LP0pPSZ9I70e/Rf9Dj0DfPo89HzyPPF877zsfOj853zofOs873z0/Pu9AX0DPP8893zxPO/88/z6PQB9Bn0NPRR9Gr0evSA9ID0ffRx9Fn0N/QU8/jz4vPK86vzh/Nh8znzDvLj8sHyu/LX8wrzPfNW80/zNvMf8xTzFvMd8yjzPfNb83rzifOB82jzSvMu8xTy+fLm8unzBfMq80HzO/Mg8v7y2vKv8nTyK/Hj8aLxaPEw8QPw8PEA8SLxMPEI8KjwMO/G74HvYe9X71rvZu9474vvmO+b75nvmO+a753vn++i76nvtO+/78TvxO/E78zv3u/38BLwMPBU8H/wr/Dg8RLxRPF58a3x3PIJ8jXyY/KO8q/yxvLa8vfzIvNW84fzr/PO8+r0C/Q29HD0tvT69S31RfVJ9U31YvWN9cj2BvZE9oH2u/bu9xn3QPdp95n3zfgB+Df4cfiz+P35SfmV+eb6P/qg+wH7W/ur+/X8PfyI/NT9IP1r/bT9/P5G/pH+3P8k/2r/rv/1AEAAjQDaASUBcQG+AgsCVgKhAu4DPQOMA9kEIwRvBMMFHgV9BdoGNAaOBusHSwerCAoIZgi+CRcJcgnQCi8KiArXCxsLWQuYC90MKgx+DNcNLg1/DckODw5VDpsO4Q8mD2oPtBAGEFoQrRD6EUURjRHSEhISTxKTEuATMRN3E6oTzBPsFBIUPBRhFHsUiRSRFJYUnhStFMcU7BUQFSQVIRUOFPsU+BUJFSYVPhVBFS0VERUCFRUVRhV+FZ4VkxVhFRsU1hSgFHcUUhQjE+QTnxNnE1ETXhN+E5YTmhOPE4ITchNSExYSxRJ9EloSaRKcEtQS9BLwEs4SpBKIEogSmhKtErYSthK7Es4S8RMeE1QTkhPQE/gT8BOsEz0SwxJcEg4RzhGMEUYRDxEFET4RtBJBEroTBxM0E2kTxRRDFL4VERUyFTQVMhU1FTYVKBUFFNQUmRRTFAAToRM+EuYSoxKAEoMSqBLiEyATVxOJE7kT6RQPFBoUBBPQE48TUxMlEwES3hK2Ej0SGhH7EeUR0xG9EaIRhRFsEVcRQREoEQsQ8RDfENQQyhC6EJ8QfBBcEEwQThBcEGYQYhBSEEUQQhBLEFUQXRBpEIIQqRDQEOgQ6BDUELkQoRCQEIUQgBCBEIkQlhChEKMQlBB2EEsQEg/GD3EPNA89D6EQNRCSEFQPZg4VDN8MGwvIC60LlAtyC1oLUQtLCzQLDgrlCrsKfwokCboJaglLCUwJQwkgCP8JFgl/CiYK2Qt2C/0Mfgz+DXINyw4PDksOiA7ADugO+Q76DvAO3A6+DpcOcA5KDh4N4Q2SDTsM6QycDEwL9wusC4cLlwvSDBUMPwxHDEEMUAyKDOYNRQ2EDZINeQ1PDS0NHg0mDTwNVA1YDTUM5gyBDCoMAAwLDDQMXgxvDF4MLQvjC4cLJwrOCoYKUgoqCgkJ5gm9CY0JXAkxCQ0I7QjICJUIUAgAB7AHdwdmB4EHtgfnB/8IAAf9CAEIBgf3B8oHjAdNBxkG7QbDBpgGZAYYBakFKwTGBJgEigRWA8ACzwHPAREAqwBpAAD/Tv5x/aX9FPzB/JT8cPxI/Bv78PvK+6b7fvtN+xf66frQ+tT69fst+3D7rfvX++f74/vS+7T7iPtL+wb6v/pt+f35X/id99L3G/aC9f71ifUm9N30p/R29D30APPK853zcPM28vHyq/Ju8jPx9vG48YvxdPFp8VjxOvEZ8QLw5/Co8DPvnu8f7t3uzu7D7pXuSu4P7hLuYO7q75fwXPEw8gLyufNJ87b0DPRS9IT0pvTL9Qb1VfWY9an1f/Ux9OL0ofRr9D70JfQx9Fr0evRh8/zzXfKq8f3xXvDB8B3vcu7D7hbtcezb7Fvr9Oum63DrVOtS62Hrd+uH64vrg+t062HrU+tR62nro+v97Grs1u037ZHt8u5n7uvvZe+879/v1e+y74vvcO9p73LveO9n7yruxe5U7fftxu247bnttO2n7ZTtdu0+7NjsQ+uN6tTqMumz6VjpHOj66O/o+ukY6Ufphuna6kHqs+sb62Prg+uH64XrlOvA7AvsbezX7TXtdu2d7bjt1+397iDuPe5e7pXu4e8q71XvXe9V71TvWO9O7yzu/u7b7s7uz+7N7sru1+797zXvcO+j79rwIvB88NbxIvFe8Zzx6/JN8rTzDfNP84HzsPPh9A70MvRU9JD0//Wh9lX28vdh96r36vg5+J/5GPmZ+gj6SfpF+gf5vPmV+aj55/oy+n36zfsr+5T7+/xb/L39K/2f/gv+av7D/yX/lQAKAHkA3QE6AZMB5wI2AoMC0AMbA10DmQPWBB8EcgTFBQ4FTwWRBdcGHgZhBqIG5AcmB2AHjQe2B+gILAh7CMcJBwk8CXEJsgoDCmEKvgsGCyELCgrPCo8KZQpfCngKnwrICuoLBwsnC1ULkQvRDAMMIQwsDC8MLgwtDDAMPwxcDIIMpgzODQoNZw3WDjEOXA5fDl0OdA6gDs4O+w86D50QEhBvEJcQmxCfELAQqRBbD7UO2w35DRsMJQr4CZ0IRAclBmoGIAZCBrsHXAfvCEkIaQhuCHYIhQiGCGsIOggHB+AHvgeWB2MHKgbvBrEGagYeBdUFlwVjBS8E+ATCBJQEcAROBCgD/QPOA50DbQM8Aw0C4gK5Ao4CYAIvAfwBygGYAWcBOAEMAOAAtACKAGgAVABMAEkAQgAzAB0AAP/d/7P/hP9Y/zP/FP73/tn+uf6b/oL+bv5c/kr+N/4g/gT94P20/Yb9Wf0w/Qz86/zK/LD8oPya/Jj8kfyA/Gn8U/xF/Dz8Mvwi/A779PvS+6j7eftM+yb7B/rv+ub69vsd+0b7Tvsl+tv6mvqG+qT63PsQ+zX7Tfth+3T7hfuW+6b7tvvB+8j7zvvW+9z72/vN+7v7rfuk+5r7iPtw+137U/tP+0r7Qvs9+z77RftM+1D7UftN+z/7KfsU+wn7CPsH+v367Prm+vj7HPs5+z77KvsP+v76+vr7+vn69Pru+un65vrl+uf67fr1+vr6+fr1+vL69fr7+wH7BPsD+v/6+/r5+vv6//sC+wP7A/sD+wb7C/sP+xH7EfsU+xv7JPsr+yr7IvsV+wX68/rg+s76v/qw+p/6jvp/+nT6bvpo+l/6U/pH+j/6N/ou+iX6Hvob+hb6CPny+dv5zfnH+cH5tPmg+Yr5d/lk+U35Nvkk+Rr5FvkP+P/45vjJ+Kv4i/hr+FD4Pvg1+DD4JvgV9/735/fR97v3ofeA91/3Rfc59zf3NPci9wD20/an9oD2XfY69hf19PXX9b71qvWY9Yf1cvVT9Sv0/vTU9LL0kfRt9EX0H/QB8+rz1PO6853zgPNk80bzJPMA8t/ywvKn8o/yefJo8lrySvIy8hTx+PHj8dXxyfG68arxnPGS8Yvxg/F68XHxafFg8VXxRPEu8RTw+/Dn8Nrw1vDX8Njw2PDT8Mvwv/Cx8KbwnvCc8JvwmPCU8I/wivCG8ILwg/CL8JjwofCi8J/wovCu8MDwzPDQ8NTw4fD68RbxMPFI8Wfxl/HZ8izyiPLl8zTzaPN983jzZ/NX81DzWPN487/0NfTV9YH2DPZO9jf14PV+9T71M/VJ9WT1dvWC9ZH1o/Wy9bn1w/XX9fP2DPYd9jH2Wfaa9uf3LPdc93P3b/dQ9yD29fbo9v73K/dZ94D3ove998z3z/fW9/b4MPho+ID4fPiG+MP5KPl/+Zn5e/lZ+Vv5ePl/+Ur44/h6+DT4Dvft97j3b/ch9tn2mPZX9hb12vWo9YD1YvVN9T/1M/Uj9Q709vTe9Mv0vfS09K30pvSb9Iv0dvRd9EP0K/QW9ATz9vPr8+Lz3PPa897z5fPt8/j0C/Qm9D/0RvQ09BHz7fPa89jz4PPu9AT0JfRP9Hf0k/Sg9KL0m/SM9HL0UvQz9Bjz/vPf873znfOF83HzVfMx8xDzCvMr82Xzl/Om85DzbPNU81DzVvNY81fzXfNx84rzlPOJ82/zVPM78x7y+vLg8uTzCPM581XzS/Mk8vPywPKH8kLx9vGx8XTxOPD88Mzwv/DZ8P7xAfDE8FXv3e+F71jvSu9K70/vXO9v74Hvie+F73vvcu9w73Tve++F75Dvmu+g76HvoO+j77DvyO/m8AjwKvBQ8HnwpfDR8P7xLPFc8Yzxu/Hp8hnySfJ28prytfLO8uzzFPNC83DzmvO889fz8fQU9Ev0lfTh9Rj1LvUu9TH1TfWE9cP1/fYv9mD2k/bG9vP3GvdD93L3p/fd+BL4SviL+NP5Hvlr+bv6Efpu+sz7I/tx+7j7//xK/Jv87f09/Yn90v4c/mr+uP8D/0j/h//HAAwAVwClAPYBSAGYAeYCMQJ+As4DIwN2A8MECwRXBKwFCwVtBc0GKQaEBuEHQAefB/sIVQivCQgJYgm/ChwKcwq/CwELPAt8C8MMFAxrDMINFg1lDbAN+A4/DocOzQ8RD1gPpw/+EFgQrRD5ET0RfxHAEgASQhKJEtcTIhNfE4cTohO8E94UAxQgFC4ULxQrFCYUJRQtFEIUYxSEFJkUnBSWFJIUnBS1FNUU7xT4FOoUzRSzFK8UyhT3FRsVHRT0FKsUWBQUE+oT0xO8E5MTWhMpExcTKxNPE2cTZBNTE0ITNRMbEuUSmxJYEjcSQBJhEoASixJ9EmQSUhJWEnASkxKpEqYSlRKOEqUS3hMxE5IT8hRAFGEURBPpE2wS6xJ4EhMRuBFvEU4RZhG4Ei0SnxLvEw8TEBMVE0QTqRQtFKMU5RTyFOIU0xTOFMYUpxRsFB0TxxNyEyES1RKUEmYSTBJJEl8SjBLPEx0TaxOvE+QUBxQTFAETzBN7EyES0hKdEoEScRJcEhAR9BHaEcMRrBGPEXERXhFeEWsRdhFzEWMRVBFREVwRZhFdETkRAhDQELkQxBDiEPsQ/BDmEMkQsxCpEKcQqBCuELsQzBDYENcQyRC2EKQQlxCNEIMQeRBwEGkQZxBnEGAQTBApD/gPvA91DykO9Q8AD2EP8xBYECoPTQ4GDNIMCwu4C5wLfQtPCyYLFAsQCwoK/QrtCtYKpApGCcsJWAkICNQInwhgCDYITQi1CVIJ9QqFCwsLmgw1DMkNQg2eDesOMw50DqAOtQ62Dq0OmQ52DkEOAg2+DXcNJQzEDFgL6At+CyIK4ArECtQLCQtMC3sLgAtfCzILIwtWC84MaQzyDTwNPA0ODNoMvAy3DLcMpAxvDBYLqQtJCxMLGAtLC44LwAvSC8ULoAtpCyMK2QqWCmMKOwoSCd8JpAloCS8I/AjOCKgIiQhrCEQICQe5B2MHHQb/BwwHNAdZB2oHawdvB4YHpge4B6sHfgc/Bv4GxAabBoQGbwY+Bd0FWATgBJ0EgAROA9ADEgJcAfIB2gHQAYIAzv/V/tz+GP2a/VL9Ivz0/L78gvxN/Cj8FPwM/An8CPwI/Aj8BvwC+/z79Pvo+9b7wfun+4b7Wfsh+uj6t/qJ+kz58fl2+Ob4TPeo9vr2T/W89VH1BvTG9IX0R/QU8+zzwPOI80rzEfLe8qfyYfIW8dvxuvGm8YrxW/Eo8QHw4/C18GLv9++W71fvMO7/7rLuYu5D7nbu9O+b8Ejw9PGg8kTy0fM+85Pz4/Qt9GL0ePR99JL0xfT/9RH04PR/9B7z6fPm9Af0P/SJ9OH1N/Vw9Xb1RvTq9HTz7vNf8sfyIfFk8I7vru7Z7ibtmu0t7NTsiOxQ7DDsJ+ws7DbsOuw17CrsJew37HDs1O1b7e7udu7k7zvvie/g8D3wifCn8IrwQO/s77Hvmu+f76vvqu+Q71fvBe6p7ljuIe4F7frt9O3w7e3t4u297Wzs7OxO66zrG+qj6j/p6emj6XLpXOld6W7pi+m06e3qM+p76rbq2err6vjrEOtA64/r+uxz7ODtLu1d7X7to+3P7fjuF+457m7uuO797x/vHe8U7yDvQe9a71PvL+8L7vvu++797v/vEu9F75Hv3fAW8EPwevDF8RvxZ/Gh8dTyFfJt8s7zJPNi85Hzv/Pw9Bv0OfRX9JP1BvWn9lD22/c/95L37fhY+Mn5NPmX+ez6IPoe+ej5pfmF+aH56Po7+on62fs2+6D8DPx0/N39UP3K/j/+pP8A/17/wQAnAIoA6gFMAawCBQJSApUC1QMWA1gDnAPnBDkEjgTeBSQFZQWmBecGKAZnBqsG9Ac6B3UHowfPCAYISgiTCNkJGQlYCZgJ2QodCmoKvgsMCzgLMgr+CrkKhApwCnsKmwrACuULBwsuC2ELogvnDCMMSgxcDGEMXwxcDGIMdwyaDMIM4g0CDTINfg3WDhwOQw5dDowO3A80D3cPow/ZEC0QjRDKEM8QsxCiEKIQhBARDz8OOQ0zDDQLHQnVCHEHMQZSBe0F/AZlBwkHuwhLCJkIpwiXCIkIiQiGCHEISggcB/AHxgeYB2QHLQbyBrAGZwYdBd4FrgWFBVcFHwTiBKkEeQRRBCsEAgPWA6YDdANBAxAC4QKzAoQCVwIrAf4BzwGeAW0BPwEVAO0AwwCaAHkAZwBjAGcAaQBkAFMANgAO/9z/p/9y/0P/Gv71/tL+s/6V/nn+Xf5C/in+Ff4B/en9yP2f/XL9SP0j/QL85fzK/Lb8qvym/KL8lvyB/Gn8WPxP/En8Qfwz/CL8Dvvz+837n/tv+0D7DvrZ+q/6q/rd+zL7ePuA+0b68/q8+rv64/sW+z77V/tn+3P7ffuK+5z7s/vG+9H71fvY+9774fvc+8/7wvu5+7H7pPuT+4D7bvte+0/7RftE+0z7Vvtb+1r7WftX+1D7P/so+xf7EPsP+wr7AvsA+wz7Ivsv+yf7D/r3+uz67Prw+vD66/rm+uP64/rl+un67fry+vT68/ry+vL69fr5+vz6/vr7+vX67vrq+un66/rt+uz65/ri+uD64Prh+t/62/rZ+tz64/rr+vD67/rq+uH61vrK+r76tPqq+p/6kfqC+nT6aPpd+lD6Q/o5+jL6Lfom+h76GPoU+hD6Bfnz+eD51vnT+c/5wvmu+Zj5hfly+Vz5Rfkx+ST5HfkS+QD46PjN+LH4kvhx+FT4P/g0+C34I/gT9/736PfQ97X3mPd491v3R/c89zX3K/cV9vL2yPae9nj2VvY39hv2AvXt9dn1xfWv9Zf1evVV9Sj09/TL9Kb0hfRk9D/0G/P98+Xz0PO4857zhPNp80rzJvL98tfyufKk8pPyg/Jy8l7yRvIo8gfx6PHQ8b3xrPGb8YvxgPF68XXxcPFn8V7xVPFI8TjxJfEP8Pnw5vDX8M7wzPDO8NHw0PDL8MDwsfCg8JHwh/CE8IPwgfB78Hbwc/Bx8HHwcvB48IDwifCN8I7wkfCa8KfwsfC18Lnww/DX8PLxD/Eq8UTxX/GB8bHx9fJL8qfy+fMv80jzR/M78y3zKPM0813zsfQ29OH1i/YA9hf11PVn9Q306fT09Qz1HfUq9UH1ZfWH9Zr1nvWf9aX1tvXR9fz2NvZ49rn28fch90T3Svco9ur2u/bB9wD3UPeG95b3lved96r3sPet97P3zffv9/33+PgE+Ej4vvkz+W/5bflZ+Vr5b/lw+T/46fiY+Gb4R/ga98/3cPcU9sj2hfZD9f31uvWD9Vn1O/Un9Rn1DPT79OT0yvS29Kv0qvSu9LP0svSn9JL0e/Ro9F70WfRP9Dz0JPQP9AX0B/QT9CD0KPQs9C/0OPRH9Fj0XvRT9Dr0HvQG8/fz7/Px9AD0IfRN9Hn0m/St9LL0q/Sa9H/0YfRF9Cz0EfPx89HzvPOz867zm/N381XzUPN287Pz4fPl88PzmfOC84HzhfN+82/zavN284fzjPN982TzTfM58x7y+/Li8ujzDvM7807zOPMH8s7ylvJX8g7xwvF/8ULxA/DD8JjwmvDE8O3w4vCR8BXvo+9d70PvPe877zvvRe9W72bvau9h71XvTe9N71TvXu9p73TvfO+B74TviO+S76Lvu+/b7/7wJPBL8HPwm/DG8PLxH/FM8XjxovHL8fXyIPJI8m7yk/K58uHzCvMy81jzfvOk88jz6PQK9Db0cPSu9N709/UD9Rb1QvWB9cH18/YZ9j32aPaY9sf28fcb90v3gfe59/D4J/hk+Kn49flE+ZT55/o9+pL65Psv+3T7ufwD/FX8rf0F/Vb9ov3s/jr+jf7g/yr/a/+o/+cALAB4AMoBHgFyAcMCEQJeAq4DAgNXA6YD8wRBBJcE9AVVBbUGEgZuBsoHJQd+B9cIMAiKCOQJPQmWCfAKRgqVCtsLHwtoC7kMDwxkDLQM/w1JDZQN4A4sDnYOvQ8CD0sPnA/zEEwQnRDkESURZhGqEe8SMxJ3ErsS+hMsE08TaRODE6ATuxPJE8sTxRO/E7sTuhO9E8gT3RP2FA4UHRQoFDIUQBRRFGYUeRSFFIEUbhRWFEsUWhR9FJwUnRRwFBsTtxNkEzgTLhMwEyAS+RLPEsAS1BL4EwoS/RLdEsISsBKaEnESNhIAEeIR3xHoEe8R6hHeEdUR2RH0EiQSVxJ5En0SbxJtEpES4hNVE9MUQRSHFJMUYxQIE54TNhLOEmER/BHGEeQSWxMAE4sTyBOxE2kTKBMVEz4TlRP3FEEUYRRcFEoUPBQ1FCYT/hO6E2MTCBK3EnsSWRJSEl8SdBKKEp8SuxLoEyYTbBOtE9wT8xPtE8gTgxMmEsQSchJBEi4SKhIjEfsR7xHnEeER0xG7EaERlxGoEc0R7xH+EfoR9RH9EhESIBIUEecRphFtEVQRYBF/EZURjxFxEUkRKBEREQAQ8hDnEOEQ2hDQEMEQsBCjEJgQihB2EF8QSxA7EDAQKBAgEBUP/w/bD64PfA9HDxMO7g72Dz8PsQ//D9IPCQ3eDMEMCAu6C58LfQtFCw4K8ArsCvUK/Qr/Cu0KswpECbEJHwioCEYH5Ad+BzMHLQd9CAkIpAk2CcgKbAslC94MgA0EDXANzQ4WDkQOVg5UDkgOMQ4IDckNdg0ZDLcMSgvLCzMKjQnxCYMJYQmRCfYKYwqsCroKkQpHCfwJ1gn3CnELLwv3DIwMyQy9DI4MXww1C/4Lqws9CsYKYwoqCikKXQqsCvgLJws2CzELHwsDCtcKoAprCj4KFwnoCawJawkwCP8I0QigCG4IQwggB/oHwgdyBxYGyAaeBqAGvAbbBuwG8wcABx8HSAdoB24HVAckBukGsgaMBn0GdgZXBgQFiAUMBLkEiwRVA+8DYALdAp0CngKsAoMCBQFBAF7/hf7M/j791P2A/TX88vzE/Lj8zPzx/RP9Jv0m/RT87fyz/Gz8Ivvd+6L7c/tN+yr7BPrZ+rH6kPp3+lz6Nvn9+az5Ofib99j3DPZZ9dH1bPUY9Mz0jPRd9Df0D/Pe86/zifNo8zry9fKj8lryJfH48cPxg/FE8Rjw/fDi8LjwhPBT8Cjv8u+g7zju5u7b7zHv0vCP8UHx3/Jt8ubzP/N285zzy/QG9DP0OPQe9Ar0HfRH9FX0IfO581rzQPN38+H0WvTR9Uz1z/ZN9qn2zPat9lr17PV69Qn0ivPl8w3yFPEf8FLvuO9C7tPuWu3f7XrtQu1B7Wrtpu3Z7fnuDe4r7mXuwu8577XwJPB28KvwzPDp8QjxIvEh8PnwtfBx8EfwOvA58C3wDO/b76LvZe8m7urut+6S7nnuZu5X7knuN+4T7dPtdO0D7JTsMOvW633rH+rB6m3qLuoF6e/p6Onv6gTqKOpU6n/qouq76tDq5+sP61Prt+w07LHtFO1U7Xntlu227dPt7O4J7jzug+7H7uvu6u7h7u7vEe8v7yvvCe7n7t/u7+8G7xzvP++C7+HwPvB/8KXwy/EG8VTxnvHS8fjyJ/Jv8snzH/Nj85fzx/P59CX0RfRn9Kf1GPWv9kX2vvcd93739fh3+Oz5RvmN+cr58/ny+cf5kPl6+Z356/pD+pX65/tH+7b8Kvyb/Q/9i/4L/oX+7/9L/6P/+QBLAJsA8AFQAbkCHwJ2ArwC9wMvA20DtgQJBF8ErgTyBS4FagWqBekGJgZjBqoG+AdEB4IHtQfqCCoIcgi2CPIJLwl1CcEKBgpACnoKvQsFCzgLPgsWCtUKmwp9CnwKkgq1CtoK/wskC1MLkgvfDCwMagyRDJ8MmwyRDJAMowzJDPANCg0fDUQNhw3eDi4Oag6lDvoPaw/WEBsQOxBWEIQQtxDMELgQlhCEEHcQOQ+XDpQNZQw9Cx8J7gifB1cGXAXcBdsGOAbLB3QIEwiKCMYIzAi4CKYInAiSCH0IWQguB/8HzQeWB14HJwbvBrAGagYlBeoFvQWWBWwFOAT9BMEEigRbBDIECgPfA7EDfgNKAxYC4QKsAnoCTgIoAgUB3QGuAX0BTgEkAP8A2QC0AJYAhACBAIcAjgCPAIEAYwA3////xP+K/1X/JP74/tH+sP6R/nH+T/4u/hH9/P3p/dL9tP2O/Wb9Qf0f/QL85/zR/MH8tvyv/KT8lPx//Gz8YPxb/Fb8S/w9/DH8J/wW+/T7xPuR+2P7N/sE+tL6vvri+zr7lvu9+5n7SPr/+uL68PsT+zf7Vvtw+4H7h/uK+5f7sfvO+9773vvX+9X72/vh+9/71/vP+8j7wvu5+6r7lft7+2L7UvtR+1v7Z/ts+2n7aPtq+2r7XvtG+yr7GPsR+xL7F/se+yn7Mfst+xz7Avrt+uP64vri+uH63vrc+t364Prj+ub66vrs+u367frt+uz66/rq+uj65/rl+uL63frY+tT60vrO+sf6vfqz+qz6qPqn+qb6pfqk+qf6rvq3+sD6xvrK+sv6yfrE+rv6s/qr+qT6mvqM+nz6bfpf+lL6Rvo7+jX6Mfoq+iD6FvoO+gn6Avn3+ev54/ng+dr5zvm8+ar5mfmG+XD5V/lD+TX5Kvkc+Qj47/jV+Ln4mfh2+FT4O/gq+B/4E/gF9/T34ffK9633j/dy91z3TvdE9zn3JvcJ9uX2wPac9nz2X/ZC9in2E/YA9e712PW/9aL1gfVa9Sr09vTF9Jv0efRZ9Dj0F/P78+PzzfO2853zg/Np80vzKPMA8tryvvKs8qHylfKC8mjyR/Il8gTx6PHQ8bvxpvGT8YPxefF08XDxavFi8VjxSvE38R/xB/Dy8OHw1fDO8MnwyfDL8MzwyfDC8LbwpvCT8IPwePBz8HHwbvBq8GXwZfBo8Grwa/Br8G3wcfB38Hvwf/CF8IzwlPCa8KLwrvDB8Nnw9vES8SnxOfFD8VPxd/G68hryhfLk8yLzOfMw8xvzDPMO8yXzWPO09EH06/WC9c71uvVj9Qb0z/TB9MT0yvTa9QT1RPV99ZX1hvVk9U31VPWB9cv2IPZq9p/2xvbx9yD3Ofci9uf2uvbO9yT3iPfC98f3u/fC99j33/fG96T3l/el97n3w/fX+BP4efji+SL5Mvky+UD5V/lW+Sn45Pip+Ij4a/gw9833W/b39qz2bfYr9eL1m/Vi9Tn1HPUJ9Pv07vTe9Mn0tfSm9KP0qfS19MD0wfS29KH0ivR+9H/0g/R89GT0Q/Qq9CT0MfRG9Fb0XPRb9Fj0VvRX9Fr0XPRZ9FL0RvQ39Cf0GvQU9Bz0MvRR9HL0jfSh9Kz0rPSf9Ij0bPRR9Dn0H/QE8+/z5fPm8+Lzy/Ok84Tzh/O08/H0FfQL89zzqfOL84PzgPN082fzZ/N184DzdfNR8yjzC/L78u/y4/Lk8v/zKvNK80PzFfLW8pzyaPIv8e3xp/Fn8Sfw3/CZ8HLwgvC58OTwzvBv7+/vhe9N7zvvM+8q7yPvJ+8z7zvvOO8u7ynvLe8370LvSu9R71fvXu9m73DvfO+L753vs+/P7/PwGvBC8GrwkfC78OnxGPFE8WzxkPGy8dPx9fIY8jzyZfKT8sDy6fML8yrzT/N987Dz3fQC9CD0QfRq9JX0vfTi9Q31QvV89bL12fX29hX2PPZr9pn2xfbv9x73VPeO98j4A/hB+IX40Pkf+W/5vfoJ+lX6ovrv+zj7ffvB/Az8Yfy9/Rb9Z/2z/gP+Wv6z/wX/TP+M/8sADwBYAKUA9wFNAaMB9gJGApQC5AM1A4gD2gQuBIUE3wU6BZUF7wZJBqIG+AdNB6QIAAhfCLoJEglmCbsKDwpeCqoK9gtKC6UMAAxTDJ0M4w0qDXcNxQ4TDl8Oqg70D0APkg/mEDoQhhDKEQwRUBGYEd8SIBJaEo8SwBLrEwwTJxM/E1MTYRNlE2MTYhNmE20TchNyE3ITeROIE54TthPLE90T5xPsE/ET+RQDFAYT/xPyE+4T/hQcFDUUMRQDE60TRhLsErcSqRKtEqcSihJmElQSYhJ9EoYSbxJEEhwSAhHsEcwRoBF2EVsRTxFJEUMRPRE8EUQRWRGAEboR+hItEkYSUBJlEp8TBBOCE/sUURRwFFYUFBPJE40TXxMsEuQSnxKREuMThBQqFHwUVBPRE0IS6xLgEwwTSRN6E5gTphOqE6oToxORE3ATPBL4EqsSXxIiEgASAxImEloSiRKmErUSwhLbEwITMBNaE3gThBN7E1oTIBLTEoESPhIWEggSBxIFEgESEBIoEj8SShJCEjESKRI0Ek4SZhJuEmYSXBJaEl8SXhJKEiAR6RG8EakRrRG7Eb4RrBGNEW4RWBFIETURHhEFEO0Q2BDBEKwQmxCOEHwQXhA1EA4P9Q/qD+cP5Q/eD9IPuw+YD2wPQA8aDvkO4Q7jDxEPXg+SD2UOtg2vDK0L/wuzC5oLfQtKCxIK8QrtCvsLCwsPCvMKpQoiCX0I2AhJB8kHQwa1Bj0GBgYlBokHEAekCEkJCgnkCsMLjAwzDL0NLg2CDbYNyw3IDbgNnA1uDScMyAxbC+cLZwrKCgEJGAg7B68HpggcCNAJaQmmCYUJLgjRCI4IcgiSCQEJwQqrC30MAQwuDBwL5wubCzEKrQomCboJfwl6CaQJ7ApACoYKsQrCCsUKxQq+CqcKfQpMCh0J8Am9CYIJSAkbCPgI0wihCGQIKwf9B88Hjwc2BtAGeAZDBjgGSQZjBngGhwaZBrQG1AbtBvcG7gbZBrsGmgZ/Bm8GYQZABfcFiwUbBMgElARiBBMDpgM6AvEC0gLKArsCjgI1AacA6AAP/z/+k/4S/bP9cv1W/WX9k/3C/dn90P2w/YL9Sv0C/Kv8Svvq+5X7Uvsf+vr63Pq/+qL6hfpq+lP6Pvol+fj5ofkV+F33mPbl9lT13PV09Rz02vSv9I30afRA9B30BvPx88vzj/NG8v3yuvJ38jDx6vGw8YfxafFR8ULxQvFM8UnxHfC68D3v3O/P8Crw1PGd8lry+vN889f0AfP88+Pz2vPv9Av0DPPt883zzvPn8+zztfNT8wXzCfNn8/X0gvUB9YP2HvbF91H3mfeO90H22/Z99jD14/V19M3z9vMV8lPxxPFX8OrwY+/E7zHu1+7U7yPvoPAZ8HHwofC98Nfw+/Ek8UzxbfGD8YjxfvFt8WDxW/FU8UHxIfEC8O7w4fDN8KHwY/Ah7+vvwO+X72zvQO8c7v/u5e7L7rDulO5y7kTuB+3D7YLtSO0S7NTsh+wt683rcusl6u3qzOrD6svq3+r46xHrJesx6zbrOetG623rvew17L/tPO2S7bztyO3H7cPtwu3S7gDuS+6c7tTu5u7l7uru/u8L7vzu1u637rvu4e8R7z3vbe+18Bjwf/DL8PjxGvFI8YfxxPHt8gbyKfJo8sDzHPNl85zzy/P89C30WPSF9Mj1MPWv9iv2kvbw91z34vhv+Of5Pfl/+bb52/nb+bX5hfl3+Z356/pD+pn68ftX+8z8RvzA/T/9xP5H/sD/J/+D/9gAJwBwALMA/AFVAb4CLQKSAuQDIgNXA5AD1gQpBHsEwAT1BSUFXAWeBeIGIgZkBq4G/wdKB4gHvgf8CEgIlgjZCQ8JSQmSCeMKKQpeCo4KygsQC0YLUgstCuwKrQqFCn0KkQq1Ct4LAgsjC00LjQvkDEMMlAzHDNcMywy4DLEMxQztDRMNJg0yDVMNng4LDngO0A8dD3UP3BA7EHUQiBCMEJIQlBCAEFsQPhA1ECAPwA7vDcMMeAs9Cg8I2AecBowF5wXIBhsGqwdKB9sIUQieCMAIwgi6CLMIrAifCIUIYgg7CA4H2QedB2EHKgb0BrsGfAY6Bf4FygWcBW8FPgUIBNAEmQRmBDoEEQPoA7oDhwNRAxoC4QKoAnMCRwImAggB5gG8AY0BYAE3AREA7gDNALMApACgAKUArACtAKEAgQBRABX/1v+b/2P/L/7+/tL+q/6J/mf+Rv4m/gn98v3a/cD9of2A/V/9QP0j/Qf87vza/Mn8u/ys/Jr8hvxz/GX8XfxZ/FP8SPw9/Dj8OPww/BT75fuw+4T7Xvsv+vf6z/rZ+x77efuw+6T7Zfsh+vz6/PsS+zD7VPt6+5b7nfuZ+5z7tPvW++v75/vU+8b7yvvY++P75fvg+9v72PvU+8r7uPuf+4T7cPtr+3H7eft7+3f7d/t++4P7fPtj+0H7Jvsb+x/7K/s6+0b7SftA+yz7FvsC+vP65/rd+tf61frW+tn62/re+uL65vrn+uX64vre+tr61frO+sj6xfrF+sT6xPrD+sD6ufqw+qP6mPqO+oj6hvqH+o36lPqc+qT6qvqx+rj6wPrH+sz6zPrG+rv6rvql+p/6l/qK+nr6a/pg+lf6TPpC+jr6NPou+iP6F/oM+gT5//n5+fH56vnj+dv5z/nA+bD5ofmP+Xn5YvlP+UL5Nfkk+Q348/jY+Lz4nPh3+FT4N/gi+BL4BPf19+f31/fE96v3kPd592n3YPdW90X3KfcE9t72vfah9or2cvZX9jv2I/YO9fv15/XO9bD1jfVj9TP0//TM9J/0efRY9Dj0GfP98+bz0fO686HzhvNq803zLfMK8ujyzfK98rPyp/KS8nLyTvIr8g7x9vHh8cvxtvGi8ZHxhvF/8XjxcPFl8VjxRfEs8Q7w8fDc8NDwy/DJ8MnwyfDJ8MfwwPC18Kfwl/CG8Hbwa/Bm8GTwYvBf8F3wXvBh8GPwYfBc8FnwWvBf8GTwaPBq8G3wc/B78IjwmPCt8Mfw5fEE8SDxMfE18TTxQfFv8cfyP/K68xbzPvM08xLy9fLu8vrzGfNW88T0YfUF9XT1ifVS9QL0xPSj9JH0ivSd9Nr1MvV89ZD1a/Ur9P71AfU79Z32BfZX9of2o/bF9vT3F/cO9uD2vfbZ9zb3nvfZ9+H33vf1+Bv4J/f/9773kPeN96X3wvfh+BP4Wvig+Mz43/jw+RH5Mvky+Qf4yfib+IP4Zvgi97T3OfbS9of2S/YK9cP1f/VJ9SL1BfTu9Nr0y/S99K/0pfSk9Kz0vPTM9Nf01vTH9K/0m/ST9Jj0nfST9HT0T/Q59Dz0U/Rt9H30gvR/9Hr0c/Rq9GH0XPRe9GP0ZvRj9Fv0UvRN9E70VPRf9Gz0fPSM9Jv0pPSg9JH0evRg9Eb0LvQZ9A70DfQN9ALz5fPB87DzwfPw9B70K/QL88/zl/Nz82PzWvNS81TzZPN383XzT/MP8tHyq/Kj8rDyy/L28y/zX/Np80Dy8vKh8mPyNfII8dTxm/Fg8RzwyfB68FLwZ/Ch8MfwqfBG783vcO9B7y3vHu8O7wXvCO8P7w3vA+777wDvEu8o7zjvQO9E70fvTe9W72PvdO+G75fvq+/F7+jwD/A28FvwgfCr8NrxCvE28VvxefGU8a7xyvHo8gvyM/Jf8o3ytvLZ8vnzIPNV85Lzy/Pz9An0GPQy9F30lvTT9Qr1PPVm9Yr1qPXE9eP2CvY39mf2lvbD9vH3JPdd95z33fgf+GP4rPj4+UT5jPnQ+hX6Yvq5+xD7XPuc+9r8I/x6/Nj9Mf2F/dn+Mv6L/t3/Iv9h/6L/6AAyAH4AzQEjAX8B2wIxAoACzAMZA2sDwQQaBHIEyAUdBXIFyAYeBnMGxgccB3cH2Ag8CJoI8QlCCZIJ4govCnoKyQsgC34L2gwuDHkMwQ0NDVsNqQ32DkIOkg7lDzgPig/cECoQchC1EPYROhGBEcUSARIzEl0ShRKpEsYS3RLvEvwTBBMIEwwTFxMnEzcTPxM9EzcTNBM6E0oTYRN4E4oTkhORE48TkROXE5kTkhOIE4cTlxOzE8oTyxOsE24THRLMEo4SbRJeEk4SLxIHEe0R6hH1EfUR3BGvEYIRYRFFESYRARDhEMsQvxC4ELQQtxDEENkQ+REnEWYRrBHrEhcSORJnErQTHhOOE+UUCRP1E7QTZRMsExsTKRM1EyoTGhMyE4wUCRRcFEATrxLuElYSGxIxEmgSlhKxEsoS7RMWEy0TIRLvEqcSXhIdEeURsxGKEXkRiBGyEeYSEBIrEkASXRKGErAS0RLkEuwS7xLrEtsStxKDEkoSGxH+EfQR9RH5EjASUhJ6Ep8StxK9ErUSqhKhEpsSkRKAEmYSSRIsEg8R8hHUEbYRnRGLEYIRfxF5EWkRUhE8ETMRNBE1ESwRFxD7EOEQyRCvEJUQfBBhED0QDQ/XD6wPmQ+bD6QPqQ+mD5sPhg9iDzQPBQ7eDsEOrQ6qDsUO+w8mDwkOgQ2iDLUMAwulC4ALaAtECx0LBAsDCxALGwsRCuEKgQnzCUsIpQgPB4AG5wZCBakFQAUcBTwFkAYPBrwHmAiUCZIKdgszC80MSAynDOQM/gz9DOgMxAyMDDsL0gteCuYKYgm5CNEHtAaeBeoF3wZ2B1MH+AgbB8oHVQcDBu8HBwdCB68IYglNCjkK6wtGC1ULLgrhCnMJ8gl/CTcJIQkxCVsJlgnfCikKZAqFCpMKlwqVCoQKYQozCgMJ1AmiCWwJOgkUCPcI0widCFsIHQfpB7UHbAcJBpoGOgX6Bd4F2wXkBe8F+QYDBg8GHAYoBjEGOwZGBlEGVgZUBkoGNQYLBcUFaAUIBL4EjARjBCkD1gNxAwoCsQJxAlYCWQJcAjABtgD6ACz/ev73/pr+W/4+/kX+Xv5n/kf+Af2w/Wr9Mvz8/Lj8ZPwI+7H7afs0+xH6+/rm+sv6pvp7+lH6MPoV+e75pvkz+KD4BPdy9uz2a/Xy9Yz1R/Uc9Pv01fSv9JL0gPRt9FD0J/P588jzjvNL8wry1/K18pTyavJD8jnyWvKU8rbylfIo8ZTxG/D18Tjx0/KX81rz//R79ML0xvSO9Dvz/PPt9AL0FfQQ9ADz//QL9ATzzfN28zrzTfOw9DP0qfUO9YP2IvbZ93b3yPe+93H3Cvav9nD2RPYQ9bf1MfSN8+3zavMG8qryO/Gx8SbwyPC98QvxkfIc8oHytPLA8rTymvJ08kbyG/H58d3xwvGj8YjxdvFs8WLxVPFD8TTxI/EE8NLwlPBa8C7wDe/r78Pvm+9772LvSe8s7w7u8+7a7r3ul+5t7kXuJe4L7e3tw+2I7Trs4OyH7EHsGuwS7B7sMuxD7E/sUuxL7DjsHuwK7BDsQOyh7Sbtq+4Q7j7uO+4Z7e7tzO3E7eXuMO6Q7uHvDe8X7xXvFe8R7vru1O667sbu+e8773Xvp+/n8D/wpPD98TrxZPGL8bXx2vHy8gXyJvJn8sPzIfNr85/zyvP79DT0bfSm9Oj1O/Wa9fn2VPa09yn3tPhC+L35Hvlt+a350/nQ+an5gPl5+aL57fpD+pz6+/tm+9v8VfzT/Vn95P5p/tz/Pv+W/+0AQACMAM8BEgFgAbwCIgKIAuIDKgNkA5sD3QQrBHoEugTpBRUFTQWUBeAGKAZvBrsHCgdSB40HxQgICFsIrwjzCSoJZQmvCf8KQwp2CqcK5wsyC2sLdQtLCwIKvAqRCosKpwrWCwcLLAtJC28LsAwLDG4MvwzsDPMM4QzNDMsM5g0TDTcNRA1LDW4Nxg5JDswPMg97D74QCRBSEIYQnRCcEIcQWhAYD9cPsw+qD4gPDQ4gDOELkQpXCS0IBwbyBiQFzgX3BnsHIQe8CDYIhgisCLMIrwiuCLMIsgiiCIYIZQhDCBwH6weyB3cHPwcIBtAGlAZWBhkF3wWnBXAFPAUIBNEEmgRnBDwEFgPvA8IDjwNYAyAC5QKpAnECQwIhAgUB6AHFAZ8BeAFRASoBBADkAMwAvwC5ALkAugC3AKoAiwBaAB3/3P+f/2f/M/8A/tD+pP5+/l3+Qf4l/gv97/3R/bH9k/13/Vz9Qv0l/Qj87vzZ/Mb8svyb/IT8b/xd/E/8Rfw//Dv8N/w0/Db8Ovw3/CL7/PvN+6L7eftH+wv63vrj+yP7fPu0+6j7Z/sk+wP7CPsf+zz7XvuG+6f7tPut+6j7t/vX++/77PvV+777u/vK+9376fvs++v76Pvk+9z7z/u++6r7mPuN+4r7ifuH+4T7hvuN+5P7jvt6+177Rvs6+zv7RftS+137Yftb+0z7Ovsl+xD6+vro+t362vra+tn62Pra+t764vrh+tv60vrK+sP6vfq4+rT6sfqw+q/6sPqy+rL6rPqg+pP6ivqG+ob6h/qM+pf6p/q4+sT6yvrN+s/60frT+tT60PrF+rX6pfqb+pT6jvqB+nD6YfpZ+lT6TPpA+jT6Lfoo+iH6FvoK+gH5/Pn3+fD56Pnf+db5yvm9+a/5n/mN+Xn5ZvlW+Ur5Pfkp+RD48/jY+Lv4nPh5+Fn4Pvgp+Bf4Bvf29+X31ffD9633mPeG93r3cvdm91D3L/cH9t/2wfar9pv2h/Zt9k72MfYa9gj19/Xh9cP1nPVu9Tz1CfTZ9K/0ivRo9Ef0J/QK8/Lz3vPK87Hzk/N081fzOvMd8wDy5vLT8sXytfKd8n3yW/I88iPyD/H78eXxz/G68ajxmvGO8YPxd/Fq8VnxQvEl8QPw5fDQ8MfwxvDH8MnwyPDF8L/ws/Cj8JPwhPB28GrwYPBc8FvwW/BZ8FfwVvBW8FTwT/BH8EPwQ/BH8EvwTPBM8E7wU/Bc8Gvwf/CX8LTw1fD48RrxNPE+8TzxPvFa8aHyEvKT8v3zMfMt8wjy5PLS8tPy4vMN82vz/vSj9Rz1QPUW9M/0lfRy9Fr0T/Rk9Kn1C/VZ9Wn1O/T29Mr00/UT9XX13PYv9mH2fvae9sj26/bp9sX2qPbA9xP3dve298z32vf/+DD4Qvge99j3nveN96D3wvfp+Bf4Sfhx+Ij4mvi7+O35FfkS+OH4n/hw+Fj4O/f595H3Gvay9mL2HvXb9Zj1XvUy9RH08vTT9Lf0ovSV9I/0kvSh9Lr01/Tv9Pn08vTb9L70qPSg9KX0p/SX9HT0TvQ79ET0YvSB9JT0nfSg9J/0l/SJ9Hv0dPR39ID0iPSL9Ir0iPSE9H/0evR59Hv0gvSM9JX0m/Sc9JX0h/Ry9Fn0Q/Q09C/0L/Qo9Bbz+vPm8+j0AvQh9Cz0FfPh86fzfPNl81nzUfNP81nza/Nz813zI/LX8pjye/KD8qjy4fMn82rzjvN68y3yxfJn8ifx/PHX8a/xhPFQ8QrwsPBc8DPwR/B78JbwcPAR76bvVe8o7wzu8+7f7tru4u7o7uHu1O7O7tru9e8R7ybvM+8770DvRe9L71XvZu95743vo++9793v//Ai8ETwavCW8Mfw9/Eh8ULxW/Fw8Ybxn/G88d3yAvIq8lbyg/Kv8tjzBPM483XzsfPd8/X0AvQW9D/0e/S79PD1FvUx9Uz1a/WL9az1z/X59iv2YvaY9sr2+/cx93D3tff6+D34gfjL+RX5WvmW+dX6I/qG+vH7UPuY+9D8DPxY/LD9C/1l/b7+F/5s/rT+7v8i/17/pv/3AEkAnAD0AVQBtgIUAmcCswL/A08DpQP9BFUEqgT8BU0FoAX0BkoGoAb6B1oHwAglCIII2AknCXYJxQoRClsKqAr8C1ULrgwBDFAMoQzzDUQNjw3XDiMOeA7TDywPgA/PEBoQYhCjEOARHBFbEZoR1BIEEisSTBJoEn0SjBKYEqISrhK8EswS3hLxEv8TBxMGEwIS/xMCEwoTFxMmEzQTPBM+Ez8TQxNFE0ATMRMeExUTHRMzE0kTUxNLEy8S/xLDEoYSVBIyEhMR7BG9EZMRexFzEWsRVhEzEQwQ6BDGEKIQgRBnEFoQVxBbEGQQdBCNEKwQ1BEIEUkRkBHPEgASLhJpErsTFxNkE4kTeRM8EuUSkxJkEmYSjBK3EtIS5RMJE0UTeRNrEvoSRBGSESwRIxFWEZERuRHZEgsSUhKXErISjBIuEb8RYhEpEQoQ9BDgENcQ4hD/ER0RNBFLEXYRvRITEl4SiBKUEpQSlhKbEpgSghJeEjUSFRIEEgASBxIXEooSoRKzEsESyxLREtMSyhK1EpISaRI+EhMR5BGuEXARNxENEPgQ9BD4EP0Q/RD4EO0Q4RDaEN4Q6RDyEPAQ4hDPEL0QrBCTEHEQRhAVD94PpA9xD1MPTw9cD2sPcA9tD2UPVg85DwoO1Q6lDoAOaA5eDm0Olw7DDsAOZg21DN4MIgulC2YLRgsuCxoLEQsXCyILIgsHCsUKWwnRCTYImggFB3AG0wYtBYwFAwShBHAEdwTCBVsGPAdJCFwJUgoeCsMLSAutC/EMDwwMC/ALvAtxCwwKlAoXCZ4JIgiBB5sGcAU/BG0ETQTcBbUGTgZYBe4FcgU8BV4FswYYBpMHQggoCRsJ3ApLCm8KYwo5CfcJqQljCTYJIAkWCRUJLwl1CdsKPgp+CpIKigp4Cl4KOwoPCeIJuAmMCV4JMQkKCOUItgh3CDIH9AfCB40HQgbdBnEGEgXLBZoFeAVfBU4FQQU2BS0FKgUwBUAFWgWABa0F2wX9BgwGAAXZBZcFRQTyBK8EfwRYBCsD6gOQAx0CmwImAd4B0gHqAfABugFKAMgAWQAI/8T/gf9G/xz++/7J/nL9//2Q/T39B/zd/Kj8YfwP+8D7gftX+z/7Mfsg+wL61fqc+mP6MvoJ+d35nvlG+N/4dPgJ95T3D/aI9hf1yfWW9Wr1PPUS9Pf06PTc9M/0x/TE9L30ofR09E70P/Q89Cfz8fO286Tz0fQZ9D/0EfOR8u3yZPIm8knywvNv9Cb0xPUx9V/1RPTo9HD0FPP59Br0TPRo9Gr0Z/Rn9Fn0J/Pg87LzxvQX9Hj0xvUI9Wb1+/ay91T3sfe794X3MPba9pb2b/Zf9k32HvXB9UL0v/RU9AbzxPN48yHy1PKw8sPzAPNG83fzhvN481fzJvLl8pvyU/Ic8fjx3/HJ8bLxnfGI8XLxWPE/8SnxFvD98NvwsvCM8GvwS/Al7/vv1u+776fvj+9y71bvQe8x7xzu/u7a7rzuqe6g7pnuju517knuCO2/7YPtZe1m7Xrtke2j7a/tsu2p7Y7taO1D7TDtQO187dzuS+6m7tXuz+6g7mDuJe4E7g/uTO6t7w7vTu9k72DvVu9J7zPvEu787wfvOe9+77zv6/AZ8F3wtvEV8WTxm/G/8dbx4/Hq8fjyHPJh8r7zG/Nj85bzwfP19Db0fPS99Pf1MPVu9bj2EfZ/9wL3jvgU+Ir48vlO+ZX5ufmw+Y35cfl5+ar59fpL+qf7DPt4++f8WPzT/V397f5z/uL/Pv+U/+0ARwCbAOYBKgFrAa8B+wJQAqoDAANJA4kDywQVBGIEpQTbBQ4FTAWYBegGNAZ+BsoHFwdcB5cH0ggZCGsIvAkACTwJfgnNCh8KYgqVCskLDQtaC5ALlQtlCxkK1AqvCrUK4AseC1cLfguXC7gL8gxFDJoM3Az8DP8M8wzqDPYNGQ1HDWgNcg11DZcN7Q5rDuoPSw+PD8kQChBPEIgQqxCtEIYQLw+4D0oPCA7rDrkOMg1ADAcKwQmPCHMHaQaMBgcF9wZQBugHjwgiCJAIzgjgCNMIwAi3CLYIrwiaCHwIXAg/CCAH9wfGB5AHWQceBuAGogZnBi0F8wW1BXgFPQUEBMsEkgRfBDYEFAPxA8YDlANfAycC7AKvAnUCRAIgAgQB6wHRAbUBlwFzAUoBIAD7AOIA0wDJAL8AtQCqAJkAfABQABb/1v+Z/2L/Mf8C/tT+p/6A/mD+RP4q/gz97P3K/ar9j/15/WL9Rf0i/P784fzK/Lb8n/yE/Gn8VfxF/Df8Kvwh/CH8J/wt/DD8L/wp/Bv8Avvg+7n7i/tX+yb7FPtA+6b8FvxL/B/7r/tA+wr7EPsy+1T7cfuS+7X7yfvH+737v/vU++r77/ve+8j7v/vJ+9z77/v7/AD7/vv1++j73fvT+8j7vPuu+6P7m/uW+5T7lvub+577mvuP+4L7dfts+2f7Zftp+3D7dfty+2b7Uvs5+x/7B/r0+un65frh+tz61/rW+tn62vrW+sz6wfq5+rT6svqy+rP6s/qx+qz6q/qu+rH6rvqj+pf6kvqU+pf6mvqe+qn6u/rP+t765Prk+uL63/ra+tT6y/q++q76oPqX+pP6jfp/+mv6W/pU+lH6S/o9+i/6Jvoi+h76FfoJ+f/5+fnz+ez54vnZ+dD5x/m8+a75nvmM+Xr5avld+VL5RPkw+RX4+Pjb+L74n/iA+GP4TPg5+Cj4F/gE9+/32ffE97D3n/eQ94T3ePdo91H3MfcK9uX2yfa29qb2kvZ39lj2OvYj9hL2A/Xv9c/1o/Vu9Tn1CfTh9L/0n/SB9GH0QPQi9Anz9PPg88fzqfOJ82vzUPM38x3zBPLt8tnyw/Kp8ovybvJW8kHyLvIY8gHx6fHS8bzxqfGZ8YvxfvFu8VrxQfEi8QDw4/DO8MXwxfDG8Mbww/C88LHwoPCN8HzwbfBj8FzwV/BW8FbwVvBV8FHwTfBI8ELwOvAz8C/wMPAy8DPwMvAy8DPwOPBB8E/wZPB/8J/wwPDj8QfxJPE18TbxMvE+8W/xyvI+8qny7vMC8vTy2vLD8rDyp/K98w/zoPRF9L703/S09HH0QfQq9B30FfQn9GX0wfUL9R30+fTG9K/0xvUE9Vb1q/X29i72WfaD9rD20vbU9rT2kvaY9tL3KPdv95r3uPfe+Aj4HfgL9933sPeb96H3uffc+AX4K/hF+Fb4cfii+N75A/j0+LX4aPgw+BH39Pe992f3Afae9kb19fWp9Wr1PfUf9Qf07PTN9K70lPSE9ID0ifSh9MX07PUK9Rb1DvT19NX0vPSv9K30qPSS9Gz0RvQz9Dv0VvR19I70oPSs9K/0qfSb9JD0j/SY9KP0qvSs9K30rPSo9KD0mvSa9KH0qPSo9KH0mfSV9JT0kfSF9HT0ZfRe9Fz0WPRK9DL0HPQV9CD0L/Qs9A7z2vOo84rzhfOL847zifOC83/zefNk8zjy/fLH8qnyqvLF8vPzLvNr85bzl/Nf8vvyi/Iv8fHxxvGj8YHxXvEv8OnwkPBC8CLwNvBf8GnwOO/d733vNu8G7uDuvO6j7p/uqu6x7q3upO6l7rbu0u7v7wfvGu8p7zHvMu8x7zfvRu9d73jvku+u78vv6fAI8CrwU/CC8LXw5fEN8S3xRfFY8WvxgvGe8b3x3fH/8ifyV/KM8r7y7PMb81DzivO+8+Hz9vQK9Cr0WPSI9K/0zPTm9Qj1MfVZ9Xj1kvW09eb2J/Zp9qT21/cL90j3i/fO+A74UPiZ+Ob5Lflm+Zz54/pH+sH7OPuV+9f8DvxK/JL84P0y/Yn94v42/nr+rf7a/xL/Xv+5ABkAdADNASkBiQHnAj8CkQLfAy8DggPXBC0EggTUBScFegXRBisGiQbpB0wHrwgOCGcIugkKCVoJqwn7CkgKlgroCzwLjwvgDDEMhgzdDS4Ndw28DgcOXg65DxIPYg+vD/sQRRCHEL8Q9BErEWgRohHTEfcSEBIiEi4SNxJAEk0SYBJ3Eo4SoRKwErkSvxLGEs0S1RLaEtsS3BLfEuYS7RLyEvUS9xL2Eu0S2BK+EqkSphKxEsMSzxLQEsQSqRJ/Ek0SHhH3EdQRqxF5EUQRGhEAEPEQ4RDLEK8QjhBrEEkQLRAeEBwQJxA4EE4QaxCMELMQ4REaEVwRnhHYEggSORJ4EsAS/xMdEw4S1RKCEikR4BG6Eb0R3RICEhwSLRJCElgSVBIYEaIRGBCzEJMQrhDdEQMRHRFAEXwRxxIAEgERvBFGEMgQbhBFED4QQhBDEEcQVhBuEIMQkRCpEOQRSxHIEjQScxKKEpISnRKrEq8SnhKAEmISUBJMElISYBJzEu8S5BLLErASnxKgEqkSqRKPEl0SIBHlEbIRfhE+EPIQpxBuEE0QQBA/EEYQVRBtEIYQmBChEKQQphCnEKIQmRCOEIQQdxBcEC8P8g+wD28POQ8VDwgPEQ8iDy0PLA8nDyQPIA8ODucOrw53DkoOKg4XDhkONA5aDmkOOQ28DQoMVgvHC20LOwshCxULFgsgCykLIAr4Cq4KRgnKCUIItAghB4kG7gZSBbgFJQScBCoD5gPsBFAFDgYLByAIJwkNCcoKYArOCxQLMgssCwYKvwpYCdMJPgitCCwHtQcnBlwFTwQ0A2cDOAOoBF8E4gTkBH8EEAPtBCYElQUUBaoGcwd2CIIJWAnTCgEKCQoDCfEJ0AmkCXIJOQj5CMcIygkcCasKPAqUCqQKhApZCjEKCgnfCbMJjAlqCUcJIAj3CMYIiAg/B/UHtweFB04HAwamBkUF7gWkBV8FHQThBLAEhwRiBEcEPQRIBGMEiAS3BPQFOgWABbEFwQWsBXoFNgTxBLMEfwRQBB4D5AOcAzsCvQI1AcEBfQFlAVkBPAEJANgAuQChAHYAKf/I/2r/Fv7B/lz96v2B/TH8+fzJ/I/8Rfv0+6v7efte+1L7Sfs1+xL64vqq+nL6QfoX+ez5ufl4+S/44fiJ+Bn3kvcH9pH2PfX/9cT1ivVc9UX1QPVE9VL1cvWd9b71v/Wr9Z/1r/XE9bf1fPU59SX1TfWE9Yb1NPSg9ADzg/NE80/zn/Qi9Lf1OPWI9Zj1X/Ts9GX0BfP09Cr0dfSi9Kb0m/SV9I30bfQ69Bf0KvRt9Ln07vUV9Vf10/Z49xn3i/fA98H3mvdZ9xP24fbV9ub27vbG9mL14PVr9SP1BPTy9ND0lfRN9A3z3/O+853zePNP8yjzAPLT8pzyY/Ix8g7x+fHr8d3xyPGs8YnxYvE+8SPxD/D88ObwzPCx8JPwcvBK8CPwBe/w79zvwu+i74fvd+9r71fvOO8V7v3u8u7w7u7u6u7h7s/ur+6G7mPuVe5e7nPuiO6a7qzuvO7B7rTul+537mLuYe567qvu7u8u71XvVu8x7vTusu6C7nnuo+75713vqe/L78vvv++x753vgO9n72fvjO/H8ADwJ/BF8HHwt/ER8WvxsfHb8erx6PHh8efyCPJI8p/y+fNG83/zsPPm9Cj0cPSy9OT1DPU59X314/Zp9vv3hff5+F34ufkP+VL5cPlp+VT5UPlv+a35+/pT+rX7H/uK+/D8V/zO/Vn97f5z/uH/O/+Q/+sASACjAPUBOwFyAZ0BygIJAl8CwwMjA3QDuwQCBEwElATUBRMFWAWmBfYGRAaQBtwHKAduB64H7QgzCH8IxgkFCUYJlAnwCkkKjwrCCvMLMQtzC50LnAtwCzIK/grrCwALNgt5C7QL2gvxDA0MPgyBDMYM+w0aDScNLA01DUsNbw2WDbENtw22DcoOAw5aDrcPCw9aD68QCRBdEJwQvRC4EH0QBg9lDssOYQ4lDeINWAxwC0MKAwjPB7gGzwYzBgIGPAbBB2EH+gh9CN8JGAkjCQ4I7gjTCL4IpwiJCGkITQg0CBkH9gfOB6AHbAcsBucGowZpBjQF/gXBBYEFQwUIBM0EkgRcBDAEDgPsA8MDlQNiAy4C9QK4An4CTQIpAg4B+AHiAcwBsgGRAWgBOwEUAPgA5ADTAL4ApgCMAHMAVwAxAAH/yP+P/13/M/8N/uf+wP6Z/nb+VP4z/g796f3G/ar9lP1//WX9Qv0X/Oz8yvy0/KH8i/xu/FT8Qvw3/C38H/wV/Bj8JPww/C/8I/wV/Ar7/Pvk+737jPtb+0L7YfvQ/IH9K/1z/Sb8afuf+yP7C/sw+177gPuf+8T74fvq+9770/vW++X77/vq+9z70/vY++n7/vwR/Bv8GfwL+/n76vvj+9371fvH+7j7rvup+6n7q/ut+6z7qvun+6b7pvuh+5b7ivuG+4r7j/uK+3X7Vvs1+xj7BPr3+u/66vrk+t362PrW+tb61PrN+sP6vPq4+rb6tfq2+rr6vvq8+rb6svq0+rn6uPqv+qT6ofqk+qn6qfqq+rH6wfrT+t/65Prk+uL63vrW+sz6wvq3+qz6ovqd+pv6lfqH+nL6YfpZ+lf6UvpF+jb6LPoo+iL6GfoM+gD5+Pnx+ef53PnS+cv5xPm6+a35n/mQ+YH5c/ln+Vv5Tfk6+SL5Bvjo+Mr4rPiO+HP4W/hH+DX4JPgQ9/j33vfF97H3oPeS94L3cvdg90r3L/cO9u/21PbA9qv2k/Z29lf2PPYm9hX2BPXu9c31nvVo9TL1BvTl9Mz0tPSb9H/0X/RA9CP0CvP089zzv/Og84LzZ/NP8zfzHvMH8vDy1/K78p/yh/Jy8l/ySfIy8hryAvHp8c7xtfGg8ZHxg/Fy8VvxQPEg8P/w4/DP8MbwxPDE8MDwuPCr8JzwifB18GTwWPBS8FDwUPBR8FLwUvBO8EnwQ/A88DXwLvAn8CPwIvAi8CDwHfAc8B7wI/Ar8DjwTfBp8IfwpfDD8OHw/fEO8RDxB/EG8SDxYfHB8ijyffK18s7y0PK+8pnycvJq8qjzMPPV9FH0dvRQ9BXz8/Pu8+/z6/Py9B70avSw9Mr0uPSb9Jj0uvT19Tf1e/W99fr2M/Zp9qD2zPbb9sT2m/aE9pr21/cg91z3g/eg97j3yvfS9873xPe697X3uvfL9+P3+vgN+Cb4UviS+M344fi9+HH4Hfff97j3lvdp9yz24faP9jj14PWR9VT1L/Ud9RP1BvTx9Nf0vvSq9KD0pPS29NT09fUP9Rz1G/UO9Pn04vTO9Lz0qPSJ9GH0O/Qk9CH0L/RF9Fz0c/SF9I30iPR+9H30i/Sh9LP0vPS+9L/0wPS99LX0svS79Mr00/TK9LT0nvSV9Jn0nvSc9JT0kPSS9JT0jPR29Fn0QvQ79Dz0MfQN89bzpPOR86Lzx/Pn8/Dz5PPK86jzffNG8xDy6/Li8vTzFfM6817zgfOc85zzc/Mg8rfyVPIH8c/xovF78VrxOPEJ8MbwePA88CvwQfBY8EjwBu+q71PvE+7h7rLuhu5o7l/uZu5t7m/uce587pLure7I7uHu9+8I7w7vCu8E7wfvGO8z71Pvcu+Q767vy+/s8BPwQfBz8KXw0/D68RzxOPFO8WLxd/GS8a/xyvHm8gjyNfJq8qDyz/L58yfzXvOX88fz5/P89BH0K/RI9GL0fPSe9M31AfUu9Uv1XvV39aX16PYy9nT2q/bh9xv3XPeb99j4Gfhk+Lj5BPk++Wz5pPn7+nT69vto+7z79/wp/F38lfzV/SH9eP3T/iT+ZP6d/t7/NP+bAAYAZwC7AQoBWgGwAgkCYgK4AwsDXQOwBAMEVwSrBP8FVgWyBhMGdgbZBzoHlgfvCEMIkwjkCTYJigndCi8KgwrYCy4LgQvRDCEMdAzHDRcNXw2mDfIORQ6ZDucPMA95D8YQFBBYEJEQwxD6ETYRbxGcEbkRyRHVEd4R6RH0EgMSFxIuEkQSVRJfEmcScBKAEpUSqRK0ErISqhKkEqcSrRKvEqkSoBKWEowSfBJkEk0SQBJAEkYSSxJEEjMSGRH3EdMRshGVEXoRWBEsEPkQyhCnEI8QfhBsEFgQQBAoEBMQBxAGEBAQIhA6EFkQfxCoENURBxFCEYIRwhH6EiwSYhKfEtYS8RLhEqcSVBH8EbARexFpEXcRlxGzEb0RvBG4EbIRmBFfERAQzRCwELwQ1xDoEOkQ6RD4ERkROxFGESYQ2hBwEAoPxg+vD7kPzQ/gD/YQGhBHEG8QiRClEOARSBHKEj8SixKwEsQS2RLrEu8S4RLNEsASwRLMEtgS5BLtEzQTEBLfEq4SkRKOEpgSlBJzEjQR6RGlEW8RPxEGEMAQcxAoD+cPsQ+KD30Pkg/HEAkQPRBXEFoQVBBOEEsQRhA9EDAQGg/3D8MPgw9BDwgO4A7KDscO0g7eDuIO3Q7YDtkO3g7XDrkOhg5MDhkN8Q3WDckNzw3kDfUN5Q2eDSUMlAwNC6ULYAs2CyELHAshCyQLFAroCp8KQgnaCWgI6QhbB8IHJgaPBfwFaATRBEEDzQOVA7AEJgTsBekG+gf/CN4JiAn7Cj4KWwpYCi8J2AlRCKUH7QdDBrYGPQW9BRkESQNxAtQCrAL8A4cD7QP1A6oDUwMyA1oDuAQ5BO0F7wc2CIYJkAopCmIKaApeCkgKHQnaCYMJHgi5CHUIfQjpCZgKPwqbCpwKaQoxCgcJ4gm3CYcJXgk/CSMJAgjWCJ0IVQgFB7gHdwc/BwIGtQZcBgQFtAVmBRIEugRpBCUD6gO0A4sDfgOPA7MD2wQGBEAEjwTqBTgFZAVpBU4FIwTzBMAEigROBA0DzgOSA00C8QJ5AfUBfgEiAN4ApwB8AGQAYQBcADf/5P9y/v7+nf5M/f79rf1h/R/86Pyy/HH8JPvU+5H7aPtY+1D7P/sc+u36u/qL+l/6OPoX+fr52vmt+XD5IvjA+Er3xvdK9ub2nPZf9iH15PW49ab1qfW69d72GvZh9pX2ofaU9pH2q/bI9r72h/ZN9kH2YfZ39kz11vU/9Lv0YvQy9Cf0Q/SI9OL1NfVh9VT1BfSE8/vzofOd8+H0NPRi9GX0YPRr9H30ePRV9Dn0T/Sb9PP1LfVH9Wf1tvY29sn3Tfet9+X38ffT95j3YPdL91r3bvde9xP2ofYz9e712fXc9c/1mfU89Mr0WvP686nzZPMq8v3y3fLC8qPyfPJQ8inyDfH88e7x3PHD8aHxffFb8T7xJvEO8PTw2vC/8KLwgvBh8ELwK/AY8ADv3++876Pvme+S73/vYe9D7zLvLu8p7xzvC+7+7vju8u7o7uDu5O7z7wTvDu8X7ybvPe9P71HvRe837zPvOO9D71bvdO+Z77jvwO+r737vR+8a7wzvK+9379XwI/BK8E/wQ/A08CLwBu/p79vv6/AT8DzwVvBl8HrwqfD18VLxpvHg8fbx8vHj8d/x9PIp8nfyzvMg82Hzk/PB8/X0MfRv9KT00vUH9Vr11vZx9wv3iffi+CX4aPis+OT5APkE+Qb5IPlY+aP59/pT+rv7KvuU+/X8WPzN/Vn97P5v/tr/Nv+Q/+0ASwCmAPwBRAF3AZUBrgHdAjECoAMSA3IDvgQCBEgEkATXBR4FaQW5BgwGXQatBvsHRgeMB80IDQhQCJMI0QkOCVQJrQoTCnMKvArvCxoLRwtzC40LigtvC08LOwtAC14LkAvJC/sMHgw5DFkMiAzGDQUNOw1lDYMNmQ2sDcAN2g30DgUOBQ39Df0ODA4sDloOng8CD4QQCBBuEKUQrxCTEEoPyg8gDnMN7Q2QDTMMnwu5Co4JQwf/BuYGIAXOBfoGhAczB9cIWgi+CQgJNglBCTAJDwjqCMQIngh5CFwIRggxCBcH9gfRB6gHdQc0BusGpgZtBjwGCAXNBY0FUQUZBN8EoQRmBDIECAPiA7oDjwNjAzQC/wLFAowCXAI6AiECDAH1Ad0BwgGhAXsBUgEsAQ0A8wDYALkAlABuAEoAKQAI/+L/tv+H/13/PP8g/wT+4/69/pb+bP5A/hP96f3H/av9k/14/Vf9Lfz+/NH8sPyc/I78e/xh/Ef8OPw0/DD8Jvwe/CD8Lfw4/DP8IfwO/AL79vvc+7H7fPtR+0r7ifwq/R3+FP6Y/lb9Yvw0+1L6/PsT+1D7hfut+9T7+fwK/AH77vvk++f78Pvx++v75/vu+//8Fvwq/DP8L/wf/Av7+/v0++/75/va+837xPvB+8H7wvvD+8L7wPvB+8b7zPvM+8T7uvu2+7n7uPun+4P7Vfsr+w/7APr5+vX68Prp+uL63/re+t762frQ+sn6x/rJ+sf6wPq7+rz6wPrC+r/6vPq++sL6w/q7+rL6rvqx+rT6tPqz+rj6xPrR+tf61/rX+tj61/rR+sj6v/q4+rD6qPqi+p/6mvqP+n36bfpk+mH6XfpT+kb6Pfo2+i76IfoS+gX5/fn0+ej52vnP+cf5wPm2+av5oPmV+Yr5fflw+WP5VflG+TL5Gfj8+N34v/ij+Ij4bfhU+D34KvgW9//35PfJ97L3ofeQ93/3bPda90b3L/cU9vr24vbM9rP2lfZ09lb2PvYq9hb2AfXn9cb1m/Vp9Tj1EfT29OD0zPS19Jr0e/Rb9Dv0HvQD8+rzzvOx85TzefNg80jzMfMd8wjy7/LT8rfynvKJ8nPyWvJC8izyFvH98d/xwfGo8ZbxhvFx8VbxOPEY8Prw4PDO8MbwxPDB8Lnwq/CZ8IXwcvBh8FPwSvBI8EnwTPBO8E7wS/BE8DzwNfAv8CrwJPAe8BnwFvAT8A/wC/AL8A3wEvAa8CbwO/BU8G7whfCb8LPwzPDd8N7w0/DJ8NXxBPFT8bLyEPJe8pjyufK68pzybfJT8nXy4vN08+v0GPQA89XzwvPM89jz1PPO8+b0I/Ro9I/0jPR49HX0lPTL9Qv1TPWL9cj2AfY69nb2sfbZ9tr2uPaN9nz2l/bQ9wz3NfdI91L3ZPeE96r3yvfY99f3z/fI98P3wPfK9+34Lvh2+KP4nPhi+BD3w/eH91j3LvcG9t32sfZ49jL15PWa9WL1QPUz9TL1M/Uu9R71CPTy9OX05PTt9Pr1A/UK9RH1GvUj9ST1GfT/9Nv0sPSC9FP0KfQL8/nz8vP19AL0F/Qt9Dr0PPQ99Ev0a/SR9K70vPTD9Mr00fTS9Mz0y/TU9OP05/TZ9L70qfSk9K30tfS19LL0tfS99MH0tfSY9Hb0W/RK9Df0FPPh87LzoPO48+/0JvRC9Dv0GvPq86/zafMl8vfy8vMU80jzdvOR85/zpfOe83vzNvLa8n7yMPHz8bzxiPFa8TXxE/Dn8Kvwb/BL8EjwVfBN8Brvw+9j7xbu3+6x7oLuVe407ifuKO4u7jfuQ+5W7m7uhu6e7rbuzO7a7t3u1+7T7tju6u8E7yLvQu9k74bvqu/Q7/vwK/Bd8IzwtvDd8QPxJvFC8Vnxb/GJ8abxwfHb8fnyIfJT8ofytvLg8wvzPvN186fzzPPk8/b0BvQY9C30RvRr9Jv00fT/9R/1NvVQ9Xr1tfX49jn2dPas9un3KPdm96H34fgt+IP41vkW+UL5b/mz+hn6k/sI+2b7qvvf/A/8P/x2/Lf9Cf1p/cz+J/56/tD/Mf+dAAkAZwCxAO8BLgF4AdACMAKPAukDPQOOA+AEMwSGBNsFNAWSBfUGWQa4BxQHbAfCCBgIbAi/CREJYwm2CgoKYgq8CxgLcQvFDBMMYQyvDP0NSg2XDeYONA58Dr8O/g9DD44P2hAdEFUQiRDBEPsRLxFTEWURcBF9EY4RohGzEcERzxHeEe4R/BIHEg8SGBIpEkISXRJvEnISahJlEmoScxJyEmESRBIrEhsSEhIFEe8R2hHNEckRxRG3EZ0RfRFfEUURMBEdEQoQ8hDUELEQixBnEEcQLhAaEAsQAA/6D/sQAxARECIQNhBPEHAQmRDJEPwRNRFzEbcR+RI0EmoSoBLREu8S5xK2EmgSEhHGEY4RdBF/EawR4xIKEhISBBHwEdsRuRGEEUkRIBEWESERJxEYEP0Q5BDUEMcQsxCVEGwQOA/5D7sPjQ9+D4kPng+4D90QGBBmELAQ5xEREUkRohIUEn0SxhLuEwQTFRMhEyATFhMRExoTLxNCE0wTTRNGE1ATLxMFEt4SxhK/ErkSoRJqEh0RyhGBEUoRHxD0EL0QdRAeD7sPVA75DsIOvw7uDzUPdQ+ZD6YPrA+4D8YPzA/ED60PjA9hDzAO/g7TDrMOng6SDo4Ojg6QDo8Oig6HDooOkA6ODncOTA4VDeANtQ2TDXwNcg12DYQNiQ1yDTIMzwxdC/MLngthCzoLJwsfCxcLAQrVCpUKSQn2CZoJLgisCBoHgAbmBk8FuAUiBJEEDwOtA4EDngQSBNkF2QbmB9EIfQjoCSMJQwlICSQIwQgfB1QGhQXRBUEEyQRUA9EDRALBAm0CYQKbAvcDQANOAyYC6wLJAtYDFwOSBGAFlQceCLMJ+wrACwkLAArOCoIKHAmhCR4Iogg+CBEIPAjFCYQKKgp6Cm4KNwoICe4J1gmrCXIJPAkTCPIIzAiaCFsIEQfCB3YHMwb0Bq4GWgYBBawFXAUHBKYEQwPrA6MDYAMcAuYC0QLjAwwDNwNhA5oD7gRTBKwE5AT5BPUE5wTRBLAEgQREA/0DtwN6A0IC/wKgAiMBmAESAJ8AP//3/8j/sP+a/2z/Gv6w/kf98v2z/X/9S/0V/OH8svyE/E/8D/vJ+4/7bftf+1H7Lvr1+rX6fvpS+iv6Bfnn+df5zfm3+YH5Jviw+DD3u/dh9yX2/fbY9qv2fvZc9k32S/ZW9nj2tPb69yj3K/cV9wz3H/c09yn2/fbW9tb28Pbt9qb2KPWl9Ub1CvTY9KT0evRq9HX0ifSN9Gr0FPOU8w/yu/K58vnzRfNz84fzpfPh9CH0OPQf9AT0JPSL9Qv1ZfWD9YX1oPXw9mr27/dj97X33vfd9733lfd993n3efdj9yj20fZ59jr2HPYQ9fr1xfVt9P/0k/Q08+bzofNi8yzzAvLi8sbyo/J48kvyJfIJ8fTx4PHI8a7xk/F48VzxPfEc8Pzw3/DG8KzwkvB38F/wSvA18Bbv8O/O77vvuO+376nvj+9372vvZ+9c70HvI+8Q7w/vF+8f7yfvN+9K71fvV+9T71fvaO9674LvgO+D75Lvp++678jv2+/38BXwJvAe8ADv2u+777Xv1PAX8GjwrPDO8M/wwfCy8KLwjfBz8F/wXPBq8HzwhfCD8ILwmPDQ8SXxhPHP8fTx9vHn8d7x6/IV8lfypfLx8y7zV/Nz85PzxPQE9Er0kvTl9VL14faA9xD3dvex99j4BPg7+G74kPik+L/48fk8+ZL57fpP+r37L/ua+/v8YPzV/Vz95P5e/sf/Kf+L/+0ATAClAPsBRwF+AZ4BtwHmAjkCqgMfA4IDzgQQBFMEnATnBTQFhAXXBi0GgwbXByUHbAerB+cIIwhjCKQI4gkjCW8JygouCosK1AsGCyoLSgtjC3ILdAtxC3ELfQuTC7IL1wv+DCMMRgxqDJcMzw0QDVINjQ2+DeIN+w4MDhoOKQ41DjoONQ4sDiQOHQ4YDiAOTw65D1AP5xBNEHAQXhAyD+4PiA77DloNww0/DLUL/gsCCcYIaAcXBgoFdgV3BfwGywecCDwIpgjnCRMJLgk2CS4JFwj1CMwIoAh6CGEIUQg/CCQIAAfWB6oHdAczBuwGrAZ5Bk0GHQXiBaQFagUzBPoEugR4BDsECAPdA7MDigNhAzcDCALSAp0CbgJMAjICHQIFAekBywGqAYkBZwFFASEA/QDYALIAiQBdADEACv/p/8r/qf+F/2T/Sf80/x3/AP7b/rH+gv5O/hv97f3I/aj9hv1g/Tb9Cvzf/Lj8m/yL/IL8dvxh/En8O/w4/Dn8NPwt/C38Nvw+/Dn8KPwW/Aj79vvT+6L7cPtM+0f7ffwV/Rj+R/8c/xr+LfzG+4769/r6+0j7lfvH++r8CPwZ/Bf8CPv8+/n7+vv2+/D78fwA/Bj8MfxC/EX8Pfwu/B78EfwJ/AL7+fvv++j75fvj++D73fvd+9773/vh++T76/vz+/n7+/v5+/P74Pu8+4r7Vvsu+xj7DvsL+wj7Avr6+vP68Prw+u/66frf+tn62vre+tv6zvrB+rz6wPrG+sj6x/rI+sz6zvrJ+sH6vvrA+sT6w/rD+sf6z/rW+tb60vrR+tP61vrU+s76yPrC+rr6r/qm+qD6nPqT+oX6d/pt+mj6Y/pa+lD6R/pA+jb6J/oY+gz6BPn6+e353vnR+cj5vvm0+ar5ovmc+ZT5iPl5+Wr5XPlP+T/5KfkN+O/40vi5+KD4hfho+Ev4NPgg+Ar38ffV97z3pveS9373a/dZ90f3Mvca9wP28Pbe9sT2ovZ+9mD2SvY29h72AvXl9cX1oPV29U31LPUU9P/05/TN9K/0kPRw9E/0LvQQ8/Xz2vO/86Pzh/Ns81PzP/Mu8x3zB/Ls8s7ytPKc8oPyaPJQ8j3yKvIS8fLx0PGz8Z3xiPFs8UvxKvEM8PLw3fDN8MXww/C+8LLwoPCK8HbwZPBV8EvwRvBG8EjwSvBK8EjwQfA28CvwIvAd8BrwFvAQ8ArwBfAC7//v/O/87//wA/AK8BbwKfA/8FTwY/Bz8IfwoPCz8LfwrPCf8KbwzfET8WvxxfIV8lfyifKq8rTyq/Kh8rXy9vNY863z0fPC86LzmfOr88DzwPO087zz7PQw9GH0afRU9EX0VfSG9Mz1FvVa9ZX1xfXy9ir2bfat9tD2x/af9nf2bfaF9q72zfbd9uf3Afc093b3tPfb9+n34ffJ96f3iveK97j4CPhR+Gv4R/f996/3b/c79wn21/aw9pb2f/Zc9in16/Ww9X/1XPVI9UT1SPVJ9T/1LPUb9Rj1JPUz9Tn1MfUg9Rf1H/U39U71U/U89Qz0zPSH9Eb0DvPh87/zp/Oa857zsvPP8+rz/fQR9DH0YPSP9LH0wfTL9Nj05vTt9Or05PTl9Oj05fTV9ML0uvTB9Mz00fTO9Mz00vTZ9NT0vvSb9Hj0XvRH9Cfz/PPR87zz0PQF9EL0ZvRg9Dj0AfPH84rzSPMQ8vjzDfNE837zofOo86HzkvN280Dy8fKb8lDyFfHe8aHxYvEu8Qrw7PDI8JvwdfBk8GHwU/Af78XvXO8B7sPume5z7knuIe4F7fjt+e4C7hHuIu417kXuVe5o7n3uku6f7qTupu6q7rXuxe7Y7u/vDu80713vhu+v79nwCPA48GbwkfC68OLxCfEo8ULxWfF08ZPxs/HR8fHyGPJH8nnyqvLZ8wXzMvNf84jzqvPG893z8fQE9Bf0LfRK9G30l/TC9O31FvU99Wj1l/XK9gH2OvZ29rT28/cx9233rPf2+Er4n/jn+Rz5SPl/+c76MPqW+vD7PPuB+8f8DvxV/Jv85v09/aD+CP5s/s7/MP+X//oATwCSAMgBAQFIAaICBwJsAssDIgNzA8QEFQRoBL0FFgVzBdIGLgaGBt0HNQeQB+wIRgicCO8JQgmTCeUKOgqUCvMLUgusC/0MSQyVDOUNOg2QDeMOLg5vDqoO5Q8lD2gPqA/gEBIQQxB3EKoQ1BDtEPoRBhEaETcRVhFtEXsRgxGLEZYRpRGwEbURtRG5EcoR5hIBEhASEhIUEiASMhI3EiAR9RHJEa8RpBGYEYERYRFHETsRNREqERQQ+RDgEM0QvBCqEJcQhhB2EGYQTxAxEBAP8g/eD9YP2A/kD/YQDBAjEDcQTBBkEIQQrhDgERoRXRGqEfsSRhKDErIS1RLqEuYSxBKIEkQSBRHUEbMRqxHLEg4SXRKVEqQSlhJ/EmUSOxH3EaYRZBFBETcRLBETEO8QyRCgEHEQPxAXEAEP9Q/hD8APnQ+KD4oPlg+oD8oQDRBuENURLBFyEbsSGRKEEuETHhM6E0UTSxNME0YTQBNHE14TeROIE4YTeBNmE14TSRMvExYTAxLwEtESnBJTEgERsRFtETgRDRDmELYQcxAVD6APHA6cDjgOAg39DhgOPA5aDnQOlA6/DuoPBQ8HDvEOzw6qDokOcg5nDmUOZA5eDlIORQ48DjcONQ40DjYONw40DiMOAA3RDaANdA1TDTsNLg0uDT0NUA1UDTYM8QyPDCULxwt9C0kLKQsWCwUK7ArDCo0KUQoRCccJbgkACIAH8gdZBrsGIAWOBQkEjQQXA7UDgQOcBBcE3wXEBpAHIAd1B6cHywfbB7kHTAaWBb4E8QRLA80DYQL3Ao4CNgH+AfACBwI3AnACnwKzAqkCjgJ4AoACuQM2BAoFPwbDCFgJrwqNCucK2AqHCg8JfgjiCFEH3QeZB5wH+AimCXMKFQpYCkUKEwnzCesJ3QmuCWYJGgjcCKkIdAg4B/gHtAdtBycG4gacBk4F9QWbBUYE8wSYBC4DwwNnAxoCzAJ5AjACDgIeAk0CggK7AwQDZgPQBCQEUwRkBGwEcgRzBGQERQQYA+ADogNiAyMC3wKHAhcBkgEGAIEADP+t/2f/OP8R/t7+k/42/dn9jP1R/SL89PzD/Jb8cfxS/DH8A/vK+5j7evts+1f7Jfrc+pP6XPoy+gX5zvme+Yv5kvmU+W35D/iN+Ar3qfd192T3Yvdd90/3Pfcv9yP3FfcM9xf3Pfds94b3evdb90n3UPdb9073LfcV9xv3Lfce9tr2cvYR9cj1h/U09MT0SfPd84zzVPMo8vHynvIp8a7xXPFQ8X/xv/Hy8iXyevLz82XzmvOO83rzqvQz9OX1bvWl9aD1mvXC9iD2l/cF91P3gPeS95b3kfeG93H3Tfcb9tv2lfZT9hz19PXW9bX1hfVC9PT0pvRi9CXz6vOu83LzPvMV8vPy0fKq8oHyWvI48hrx/PHe8cLxqfGP8XLxUPEv8RDw+PDh8MrwsPCW8H/wa/BV8DfwE+/z7+Lv4O/h79fvwu+r753vk++C72XvSO867z/vTO9V71zvae9674fvh+9/737viu+Y75/voO+o77/v3+/78BLwLPBR8HvwmPCe8I/wdvBk8GXwgvC28PPxIvE28TDxH/ES8QvxBPD38Ofw2PDP8Mnwv/Cr8JXwkPCv8PjxV/Gr8drx4/HX8dLx3/IA8i7yZPKa8sjy6vMF8ynzYfOw9A/0dvTn9Wj1+faI9vr3Qfdn94P3rffm+B/4Sfhq+JX41vkr+Yr57PpV+sX7Nvuh/AT8a/zd/Vr91P5E/qz/Ff9+/+QAQgCbAPMBRAGGAbcB4wIeAnMC2gM/A5cD4AQjBGoEtgUGBVkFrAYBBlgGrwcCB0sHiQe/B/IIKwhqCLAI+AlCCZAJ5Ao6CooKzAr/CyMLPwtUC2ULcguCC5cLsgvPC+oMAwweDD4MZQyTDMgNBA1DDYANtA3bDfUOBw4WDiUOMQ42DjMOMw4+Dk8OWQ5RDkYOWQ6lDyEPng/rD/gP3Q+5D5UPYQ8GDoIN4Q0uDGELbApACOIHcAYjBT0E9QVTBigHJAf+CJQI6wkbCTUJQglCCTkJJgkKCOMIuAiSCHgIZghQCDAIBQfVB6EHaAcnBuUGrAaCBl4GNQYBBcYFiwVTBRcE1ASNBEoEEQPiA7YDiwNhAzcDDALeAq4CgAJbAj4CJgIOAfMB1AG1AZkBfgFeATUBBgDZALMAjgBlADgAC//n/8v/sf+U/3f/X/9K/zP/Fv7w/sX+k/5d/iX99P3K/aP9eP1I/Rn88PzN/K38lPyG/IH8e/xs/Fj8SfxG/Eb8Qvw7/Dn8PvxD/D38MPwi/BP7+fvO+5z7dfte+1H7X/u4/I39wP7Q/x7+av0M+7v7CPsI+2f7xfv5/A78Gvwk/CX8IPwd/Bv8E/wD+/T79vwN/C78S/xY/Fb8TPxA/DX8Lfwl/Bv8EfwK/Ar8DPwL/AT7+/v6+//8BfwH/Af8DPwc/DD8P/w6/B/77/u2+4D7V/tA+zT7Lfso+yL7HPsT+wr7A/sA+v/6+/rx+un65vro+ub62/rN+sb6y/rS+tX61PrT+tb62frY+tT60/rW+tr62vrZ+tv64Prk+uL63vrd+uD65Prk+uD62vrT+sn6u/qv+qj6pfqd+pD6gPp1+m36Zvpd+lL6SvpC+jf6KPoa+hD6CfoA+fT55vnZ+c75w/m4+a75qfml+Z/5lPmF+XT5ZflY+Un5Nvkc+P744fjK+LX4nfh/+GD4Rfgw+Bz4BPfp9833s/ea94L3bvdc90r3NPcd9wn2/Pbv9tr2uPaR9nL2WvZE9in2CvXp9cr1qfWF9WP1R/Ux9Rz1AfTh9L/0nvR+9F70PvQg9ATz6fPN87LzlvN682DzS/M88y7zGvMA8uTyy/K08pzyg/Js8ljyRfIq8gjx5fHH8a3xkfFt8UXxIvEG8PDw3vDQ8MfwwvC58KrwlfCA8G3wXfBQ8EjwRfBF8EbwRPBA8DrwMvAm8BrwD/AJ8AXwAe/77/bv8+/y7/Hv8e/y7/Tv9+/88AbwFvAq8DvwR/BS8GPwevCP8Jbwj/CF8IrwrfDt8T7xkPHW8g/yRPJ+8r3y9PMa8zPzTfNx85LznfOL83DzavOD86PzsPOl85/zufPw9CP0NPQj9A30EvQ89IL00vUc9Vj1hfWr9df2FfZd9pr2tPan9oP2ZfZb9mP2c/aD9pj2v/b890b3jffB99v32fe694j3Xfdc95X37/g2+ED4Cve49273OPcJ9tb2pvaG9nb2ZvZG9hf15PW29Yz1ZPVB9Sv1IvUc9RD0//T39Qf1LvVZ9XP1cPVa9UT1QvVW9XP1gvV19Ub0/PSh9EPz7fOp83nzXfNS81zzefOl89Pz/fQl9FT0ifS49NX03/Tl9O/0/vUG9QP0+vTz9O305PTY9M/00vTd9Ob05/Tm9Oz09fTz9Nv0sfSE9GX0U/RB9CTz/vPi8+P0BvQ79GL0YfQ18/TztvOG817zOPMa8xfzNfNn85HzoPOX84PzafNB8wDyr/Jh8iTx8fG58XXxMvD/8OLwzvC28Jvwh/B68GLwJ+/C70ru4O6Z7nHuVe407g7t6u3T7cvt0e3g7fTuBe4P7hPuF+4i7jPuR+5Y7mfudu6G7pbuou6u7sHu4O8K7zfvYO+G763v2vAM8D/wb/Cc8MXw6vEJ8STxP/Fb8XvxnPG+8eLyCvI28mjynPLQ8wDzKfNL82jzh/On88bz4PP29Ar0HfQv9EL0W/SB9LX08vUt9Vz1gvWl9dD2BfZC9oH2wPb+9z33fvfG+BT4Zfix+PL5KPlf+aD57vpA+o/63Psy+5f8CPxy/Mr9Ef1U/aL9/P5b/rb/D/9n/74ADwBVAJQA1wEmAYUB7AJRAq4DBANWA6YD9wRKBKEE+wVWBa8GBAZXBqwHBQdjB8EIHQh2CM4JJgl7CcwKHQpxCswLLAuKC+EMMAyADNQNLw2LDeAOKg5pDqQO3g8YD04PfQ+kD8oP8hAeEEcQZxB6EIgQmBCxENMQ9hESESQRLRE1EUMRVBFjEWURWxFQEVMRaxGMEagRthHAEdAR5xHyEeARshF8EVQRPhEpEQgQ3RC3EKMQnRCaEJEQgxB1EGgQWBBEEC4QHRAUEA8QBQ/yD9kPww+3D7gPxA/XD+4QBxAgEDoQVRBxEJEQtRDiER4RbhHPEjUSihLBEtkS2hLKEqsSfRJKEiESBxH0EeQR3xH2Ei8SdRKnErQSqBKYEoQSVxIDEZYRNhD+EOwQ4xDOEKgQdxBAEAgP2w/HD88P4Q/lD9IPtQ+jD58Png+dD6wP3BA0EJ8RCxFzEeYSZxLkE0ETcBN+E38TghOEE4ITghONE6ITtBOzE6AThhNwE2oTUBMxExQS+BLYEqkSaRIgEdgRlxFcEScQ+BDJEJEQRg/iD2oO5Q5fDeINfA00DQwM/w0FDR8NTA2JDcYN8w4IDggN/A3vDegN6w35DgwOGQ4YDgkN9A3kDdwN3A3dDdwN2Q3TDccNrw2LDWENOg0cDQoNBA0KDRwNMg07DSQM5gyKDCQLxwt7C0QLIAsICvUK3Aq3CogKVAodCd8Jlgk/CNoIZAfZB0AGpgYbBaAFKwSvBC4DwgORA7QEIwS4BUMFpwXnBhYGQAZSBigFrQTuBBoDYgLaAncCHgHDAXEBQQFAAWcBnwHUAf8CIgI+AkwCSwJLAmYCsAM1A/IE5wYJBz4IVgkfCX8JgAk/CNkIYQflB3QHIgcIBz8H0gitCZMKOQpzClUKHAn4CesJ0gmUCTcI2AiHCEUIBQfHB4sHUgcWBtQGjAY+BegFjAUyBN8EjgQxA8IDUALrApECMwHMAXABQgFQAYcBzgIfAoQC+QNmA6oDwAO/A8QD1APhA98D0AO7A6IDfQNGAv4CrgJXAfQBggEDAIAABf+h/1r/Lv8N/t/+l/46/df9gf08/QT80fyh/HX8VPw7/CH7+vvI+5v7gPtx+1j7IvrY+pj6cfpT+iH50/mC+Vf5Wflo+VP5APiC+Af3tPeU95b3pfey97z3x/fR99D3wPeq96D3rPfA98b3s/eW94T3gveB93H3VvdF90b3S/c69wj2w/Z89jT12fVc9L30CvNY8rXyL/HJ8XfxHvCv8Djv4O/E7+HwFvBT8KTxIvHF8lvysPLC8srzEfOz9IX1O/Wh9br1tvXK9gr2Zva/9wD3KfdL93D3kfeX93b3Mvbf9pD2TvYZ9e71y/Wu9ZD1a/U59Pv0ufR59Dz0AvPK85XzZvNA8yDzA/Ll8sXypfKF8mTyQPIb8fjx2PG58Zrxe/Fe8UXxLvET8PTw0/C38KLwlPCF8G/wUvA08B3wEfAK7//v7O/W78Lvsu+g74vve+9674Xvj++P74rvi++V76DvpO+l767vv+/Q79fv2O/g7/bwFPAw8EjwafCZ8NPxA/Ec8RzxDvEB8QDxEPEw8VfxdPF88XLxYvFZ8V3xZfFo8V3xSPEw8RrxAfDg8LjwmvCh8NnxMfGD8bHxuvGz8bXxxPHZ8erx+/IU8jnyavKp8vXzUvO79Cz0ofUb9Zv2GvaI9tb3BPcj90n3g/fI+Aj4OPhf+I/41Pks+ZD5+fpk+tL7Pvul/An8cPzf/VL9wv4u/pr/B/9x/9MALgCJAOUBPgGNAdICFgJlAr0DFANkA6oD7gQ2BIQE1QUqBX8F1gYsBoIG1QcjB2cHngfOB/0INAh1CL8JDgldCaoJ8wo5CnwKugrtCxULNQtSC24LiQujC7wL1gvxDAkMIAw7DF0Mhwy1DOMNEA09DWkNjQ2mDbgNyw3jDfwODA4QDhIOKQ5dDp8OzQ7TDroOqQ7CDwEPRQ9rD2sPXQ9YD2IPYg86DtYONQ1bDFELGAmuCB8GjwVFBJAEnQVZBnMHiAhcCOUJOwl1CZcJoAmRCXUJVAkxCQsI4gi6CJcIeAhXCC8IAQfPB5sHYwclBuYGrgaEBmUGRQYdBeoFsAV0BTQE7gSmBGIEJwP1A8UDlANkAzYDDgLoAsAClQJrAkcCKwISAfcB2QG8AaQBjgFxAUgBFgDoAMUAqQCHAFwALgAH/+z/1P+5/5z/gv9r/1H/MP8G/tb+ov5q/jH9/P3P/aX9dv1D/RL86/zN/LP8nfyO/If8g/x5/Gn8XfxX/FX8T/xI/Eb8SfxK/EL8NPwo/Bn7/PvM+5z7gft1+2H7RPtV+9/85f37/nj+Avzb+7H7G/sy+6L8CPw5/ET8RfxG/EX8QvxC/EH8Nfwc/AX8Avwa/D/8XPxo/Gb8X/xZ/FT8T/xH/Dz8MPwp/Cn8LPwp/B78EfwR/B78Lfwy/Cz8Kvw5/FX8afxf/C374/ub+237Xftd+1z7UPs/+zH7Kvsk+xr7DvsI+wj7CfsD+vj67/rs+uv65vrf+tv63/rm+uf64/rf+uH65frn+uj66vrw+vX69vrz+vL69Pr3+vr6+vr7+v36//r9+vj68fro+tr6y/rA+rr6t/qu+p76jPp/+nj6cfpn+lv6UPpF+jj6Kfoc+hP6DPoE+fn57vnk+dn5zPnA+bf5svmw+av5ovmV+YT5c/lk+VX5Rfkv+RL48/jZ+MP4rfiR+HL4VvhA+Cz4Fvf799/3w/en94v3c/df9033OPch9w/3BPb89ur2yfaj9oH2ZvZO9jH2EfXx9dL1s/WR9XL1WfVF9S/1E/Tw9Mv0qPSI9Gr0TvQ09Brz/fPg88Pzp/OM83LzXPNM8zzzKvMS8vny5PLR8r7yqPKS8nvyYvJC8h7x/fHi8cjxqPF98VDxKvEO8Pnw5/DY8M3wwvC08KHwjPB58GjwWPBK8EDwPfA98DvwNfAt8CXwHvAV8Arv/+/47/Pv7+/r7+fv5u/n7+jv6e/r7+3v7+/x7/bwA/AV8CbwMvA68EXwV/Bq8HXwdfBx8HXwj/DC8QjxU/GV8cjx+PI28ovy6vM482DzavNp82zzbfNi81LzUvNv85zzt/Ox85rzk/Op883z4/Pi89jz4PQD9D30gvTI9Qn1QPVs9ZT1xfYC9kX2e/aV9pD2ePZe9lD2UfZj9oT2s/bu9y/3bPee97r3uvea92f3P/dG94j35vgp+Cr37feZ90/3Fvbk9rb2lfaI9oT2cfZF9gr11vWv9Yn1WfUj9Pb02vTH9LX0o/Sg9Lv09PU49XD1jPWN9X/1d/V99Y/1nvWb9Xj1MPTH9E3z1vN680bzOPNF82TzkfPI9AL0OPRs9KD00/T89RD1EfUM9Qz1EfUT9RD1CfUE9QD0+vTy9O307fTv9O/08fT99RT1JfUZ9Oj0o/Rq9E30R/RB9C30D/P68/70GvQ59EL0J/Pt863zffNm813zVfNN81DzY/N+84/zjvN982XzRvMU8s3yfPI08fzxyfGN8UfxCfDh8M7wxPC38KjwmPB78DvvzO9B7r/uZ+4/7jDuHu3/7dntt+2i7ZztpO227czt2+3f7dvt1+3b7ent/O4S7ivuRe5e7nDue+6I7p3uv+7o7xHvNe9Z74Hvsu/p8CHwVvCE8Kzwz/Dv8Q/xLvFN8WrxhvGl8cfx7fIY8kfyfPKz8ubzDfMp80LzYPOD86bzwvPY8+30A/QW9CP0MfRN9ID0xPUI9Tr1W/V39Zz10fYP9k/2jfbN9xD3Vved9+X4L/h6+MH5AvlB+YT5zfoY+l/6p/r9+2/79vx8/Ob9Lv1k/Z395P40/oP+z/8c/27/wgAVAGQAtwERAXIB1QI0AosC3gMvA4AD0gQoBIIE3wU6BZIF5QY5BpAG6QdDB5oH8AhJCKYJBQlhCbcKBwpXCq0LCwtrC8gMIAx1DMwNJg1/DdEOGQ5ZDpQOzA7+DycPRw9iD38PoQ/FD+YQARAVECcQOxBTEG8QjhCqEL8QzhDcEO8RCREjES8RKBEXEQ0RGBE1EVURahF3EYQRlBGcEY8RaBE1EQcQ5BDCEJYQYhA1EBkQDhAMEAsQCRAHEAIP+A/lD88PvQ+zD64PqQ+hD5gPkQ+TD5wPrQ/BD9cP7xALECwQURB0EJIQrBDNEQMRVhHCEjESiBKzErQSmxJ3ElASKBIGEfMR8BHvEeQR1BHPEeMSAxIXEhMSBRH7EfARzBF7ERAQtBCFEH0QeRBeECgP6A+uD4cPeQ+ID6sPzQ/cD9cPzw/PD9IPyQ+0D6YPtw/vEEIQqhEqEckSeRMUE3YTmhOdE6ETsRPEE88T0xPbE+YT6hPaE7wTmxOAE18TMBL7EssSphKEEloSJRHsEbMRexFCEQcQzhCSEEsP7w+ADwkOkQ4ZDZ4NIwyzDF4MKgwWDB8MPgxuDKIM0wz5DRYNLQ1BDVUNbQ2IDaUNuQ2+DbMNoA2QDYgNhw2JDYgNgw18DXINYg1JDSkNCAzuDOIM4QzqDPkNBg0EDOUMqAxWDAALsQtvCzoLEwr7CuoK1QqxCoEKSwoWCeIJqgltCSYIzAhaB9MHRAa/BkgF1gVZBM4ERQPbA6sDuAPvBDMEcASkBNYE/wUHBM8ESgOQAs8CMAG/AWsBIQDbAKgAnQDFARABYwGoAdoCAwIpAkYCVwJpApkC+AOABBYErAVFBe0GmQcpB30HkQd+B10HNwcKBtcGswbFBy4H+AkACf0KoQrICo8KOgn8CdMJnwlICNkIcAgfB+AHpgdvBz4HDgbYBpQGRQXvBZMFMwTYBIYENgPZA2gC7wJ/AhkBrgE6ANUAoQCtAOkBOwGeAhcCmgMGAzcDMQMYAxMDJgM8A0IDPAM7Az8DNgMSAtQCiQI/AfQBnQEwAK8ALf/A/3z/XP9I/yT+3f54/gn9pf1W/Rn86fy9/JT8bvxM/Cn7//vP+6b7jPt7+177Kfrq+r36sPqq+oX6LvnB+XH5VPlU+UH4+/iP+CH31fey96v3sPe899L38PgO+B74GPgH9/n39ff29+733ffJ9733s/ej94r3cPdg91v3V/dG9yf2+/a+9mn19/Vr9Mr0FPNJ8nbxtvEe8KnwOu+47y3uvu6M7pjuy+8U73jwA/Cs8U7xxfIL8kXypPND9BL03/V79dL18/YD9iH2VfaQ9sP27vcg91v3j/ec93L3Hva/9m/2NfYK9en10vXF9bf1m/Vp9ST01vSI9EL0BfPS86nzh/Nq80/zNPMX8vjy2vK98qLyhfJj8j/yGvH28dTxtvGc8YPxZfFA8Rfw8PDV8MfwwPC68K3wlvB38FbwO/An8BfwB+/17+Lv0e/C77fvs++578Tvyu/F77nvsO+v77PvuO/C79fv8/AL8BfwG/Am8D3wWPBt8H3wl/DG8QXxQfFr8X3xfvF28XDxcvGB8ZnxrvG18azxnvGY8aHxsvG88bPxmfF58VzxQPEZ8OPws/Co8NPxIfFr8ZPxm/Gb8afxuPG/8bTxpfGq8dTyKPKb8yDzqPQm9Jj1BPVw9d32QfaO9r/24fcF9z33h/fU+Bb4R/hv+KD45Pk6+Z36Bfpu+tb7PPuf/AP8bPzb/Uv9uf4o/pj/Bf9o/8EAGAB1ANkBOQGOAd8CNQKSAusDOAN3A7MD9wRFBJcE6gVABZcF8AZHBp0G8Ac8B38HtwfpCBwIVAiTCNgJIwlvCbcJ+go6CnkKtgroCxALMgtXC4ELqAvGC9sL7gwEDB8MPAxcDIEMpwzGDNwM7g0FDSUNRg1lDYINpg3PDfAN/g3/DhAOTA6yDxkPUw9JDxQO4Q7RDuAO9Q78DvoPAw8jD1IPdw91DzYOrA3UDLULVAm2B+oGIwS7BBQEWwVgBq8H1wikCScJiQndChYKIwoDCcsJkQljCTwJFwjtCL4IjQhcCCwIAAfWB6sHewdDBwMGxAaPBmoGTgYxBgcF0QWUBVQFEQTLBIYERwQRA90DpwNvAz0DFQL2AtYCrwKBAlQCLgIQAfQB1gG4AaABjwF5AVgBLwEIAOwA1gC6AJEAZABAACYADv/w/87/r/+U/3f/T/8c/uX+r/53/j7+B/3X/ar9e/1J/Rn88vzW/MD8rPyb/JD8h/x9/HH8Z/xi/F38VfxO/E38UvxR/Eb8N/ws/CD8BPvT+6H7hPt2+1r7J/sP+2H8L/0d/ZT9PfxT+3H7GvtX+9P8N/xl/Hf8gvyI/IH8cfxl/F/8U/w7/CL8HPwu/Ez8ZPxv/HP8dvx3/Hj8dvxy/Gn8WvxJ/Dz8NPwq/Bz8EfwW/C/8S/xW/En8N/w4/FD8aPxg/Cr71/uO+2v7cPuD+4f7cftP+zb7Lfsq+yP7FvsN+w/7FvsW+wz7APr5+vf69frx+u/68vr3+vf68vrt+u/69Pr6+v37AvsK+xT7GPsV+xH7EPsU+xr7H/sg+x/7G/sV+w/7B/r7+uz63PrR+s36yfq++qz6mvqO+oj6g/p5+m36YPpR+kH6MPoi+hr6E/oM+gP5+/ny+eb52PnL+cL5vfm6+bb5r/ml+Zj5hvl1+Wb5WflI+S/5D/jv+NX4vPig+IH4ZPhN+Dj4IvgJ9+/31fe595v3f/dn91T3QPcs9xn3DPcA9u720fas9ov2b/ZV9jj2GfX79d/1wfWg9YL1afVU9Tz1HfT59NX0svSS9Hb0X/RK9DL0FfP289jzvfOk84vzc/Ng80/zO/Mk8w3y+vLq8tnyxPKs8pHycvJQ8i3yEfH88eXxxPGY8WnxQfEi8Qnw9PDj8NTwxfCy8JvwhfB18GfwVvBD8DXwL/At8CvwI/Aa8BHwC/AF7/7v9u/w7+vv5+/j7+Hv4e/i7+Hv4e/i7+Xv5+/m7+fv7+/+8A/wHPAi8CjwM/BE8FXwYPBm8GzwefCV8MbxCPFO8YjxtfHi8iHycfK78ujy9vL98xDzLfNE80/zXPN+87Dz1PPR86rzgvNy83zzj/Od86nzvfPd9Ab0NPRp9Kj06vUl9VH1dfWh9dv2HfZY9nr2gPZz9mb2aPZ+9qP2z/b89yr3V/d/95f3lfd390z3MPdB94T33PgY+Bf33feJ9zj28/a99pr2kvag9qr2lPZb9hX13PW19Y71V/UU9Nf0rPSR9Hr0ZvRe9G/0nPTc9SH1W/WD9ZT1mPWZ9Z71p/Wn9ZD1U/Tr9GXz4PN+81XzX/OJ877z8/Qo9Fv0i/S59Ob1EvU09UP1QfU09Sn1IfUb9Rf1F/Uc9SH1IfUY9Qz1APT09Ov08fUN9TX1TPU39PH0mfRX9Dz0PvRC9DX0HfQI9AL0CPQQ9Anz7vPD85vzhfOG85LzmvOY85HzjPOJ84PzdvNj80vzKPLz8qzyYvIf8ebxq/Fm8SDw6vDM8MLwvvC58K/wlvBa7+vvUe6y7jzuAu327fbt6O3K7aftiu147W/tcu1/7ZDtne2i7aDtoO2l7bHtw+3c7fvuGu407kfuV+5r7ofuqe7L7urvC+8x72Dvlu/O8AbwOPBm8I3ws/DY8QDxJvFG8V/xdPGO8a/x1fH98ifyVvKJ8rny3vL58xLzMfNV83XzjfOg87rz3PP99BX0I/Q19Fr0k/TP9P/1HvU59V/1lfXW9hj2WPaa9uD3Kfdx97f3+/hB+Ij4z/kW+WP5tfoH+lD6kPrY+zn7tfw4/Kj89/0x/Wv9sP3+/kv+lP7f/zH/i//nAEEAnAD5AVkBtgIOAmACsQMCA1UDqQQBBF0EvAUYBXEFyAYiBn4G2AcrB3kHxwgcCHoI3Ak7CZUJ6wo+CpUK8AtQC7MMEwxtDMENEw1iDa4N9A4zDmwOnA7EDuMO/Q8WDzQPVg93D5QPrw/KD+MP+hAOECIQNxBOEGMQdBCDEJkQuxDlEQcRExEHEPEQ5RDsEQMRHBEtETYROBEzESQRCBDiELsQkhBlEDEP+w/LD6kPlQ+ND4sPkA+XD5wPmA+KD3gPZg9XD00PSQ9KD08PVw9iD3EPhg+eD7cP1A/3ECAQSxBwEIkQmxCxENoRIBF/EeISLBJNEkgSMRIZEgIR6hHSEcIRvBG4EacRiBFqEVoRVhFOETsRJhEbERQQ+RC7EGwQLhAXEBUQAw/KD3gPLA8BDwEPJg9hD58P0Q/vEAMQGhA1EEQQOBAWD/cP8hALED0QjREMEb8SiRMxE5ATqROnE7MT0xP0FAQUBhQHFAgUAhPsE8oTphOFEywS7BKoEm8SSxIyEhgR9BHHEZERUxEPEMkQiBBFD/QPjA8TDpkOKQ2/DVIM3gxuDBML1QuzC6ULpwu1C84L8AwZDEYMdAyiDM0M9g0dDT8NWQ1mDWUNWw1QDUkNRw1HDUQNPQ00DSsNHw0NDPQM2QzDDLYMswy2DLkMtwymDIAMSgwNC9MLngtoCzMLCArvCuIK0QqtCncKPAoKCeUJxwmmCXkJNgjZCGYH6AdsBvgGhwYNBYQE8gRmA/QDrAORA5gDtQPdBAcEIgQYA9MDUgKtAgkBfwEVAMMAhABYAEsAZgCqAQoBbwHEAgUCOwJqApECrALKAwUDbQPuBGIEsATmBSUFegXOBgQGFwYiBj0GZAZ/BoUGjgbNB2sIZQmICoALBQsDCqUKNAnfCaAJVgjtCHYIEgfQB6MHegdNByAG8Qa3Bm4GGQW+BV4E/ASaBEED6wOJAxQClQIfAbMBRwDVAHEAPQBFAHsAyQEsAagCLwKZAr8CpgJ7AmwCgAKcAqoCrAKzAsQC0ALFAqECcQJGAh0B6AGRARUAhgAH/7L/i/95/1n/F/63/kz96P2a/WD9Nv0Q/Ob8tfyC/FD8Ivv1+9D7tfue+337SfsS+vP69vsG+vf6r/pA+dX5jflk+Tn49fiZ+Dz39PfG9633pPeu98v39fgc+DH4NPgt+CX4HfgR+AD38Pfl99r3w/ed93X3WvdT91b3VvdN9zr3FPbP9mn18PV29Pn0ZfOn8sjx8fFA8LTwKO+D7szuMO3X7czt/u5T7sDvRe/e8H/xGfGf8hTyhfMI86z0cfU49db2MPZL9kz2U/Zq9o72u/b29zn3bfdy90H27/ah9mn2QvYc9fj14PXb9dj1wvWM9T305/SY9FX0H/P089HzsvOV83fzVvMx8wry5fLI8rTyovKL8mzyRvIf8f3x3/HD8abxgvFZ8TDxDvD68PDw6vDi8Nbww/Co8IXwYPBC8CzwHfAQ8AHv9O/q7+Xv5e/q7+/v8u/w7+rv4u/Z79Dvy+/U7+zwDvAr8DzwSfBf8IDwoPC08L3wzPDs8R3xU/GB8aHxtfG88bvxu/HE8dfx6vHw8eXx0/HK8dTx6vH38e3xzfGm8YjxbvFH8Q3w0/C88NvxIfFk8YvxmvGr8cjx5PHq8dbxwPHF8fvyZPLy85D0J/Sn9Q31ZfW99hb2Zfag9sb26PcV91b3offo+CP4Uvh++LP49/lI+aP6Bfpr+tD7NPuW+/v8Z/zY/Ur9u/4t/p7/Bv9h/7QACgBtANUBNgGLAdwCNgKVAu0DNANvA60D9wRLBJ8E8gVHBZ8F+QZSBqoG/wdPB5YH1ggSCE0IiQjECQAJQAmCCcUKBgpGCocKwwrxCxMLMgtcC44LvQveC/EMBAweDD4MYAyADJ0MsQy2DLEMsAzEDPANKQ1kDaAN3Q4RDigOHw4TDjMOlg8gD4oPnA9WDvEOqQ6WDqIOrA6rDrEO0Q8ND08Pgw+aD4UPMg6ODZIMOQqECIMGcQTAA+0EMAVQBsAH+gjLCVAJvgokCm4KfgpVCg0JyAmVCXMJUgknCO4IrghxCD4IFAfvB8kHngdpBygG4AahBnUGWgZBBh0F6gWwBXYFOQT3BLEEbgQzA/wDxAOIA1ADJQMHAuwCyAKZAmUCNwIRAfAB0AGyAZoBiwF9AWkBTQEyAR0BCgDvAMkAoACBAGsAUgAtAAD/2P+4/5b/Z/8r/u3+tf6C/kz+E/3d/az9ff1O/SD8+vzf/Mz8vfyt/J38jPx9/HH8avxl/F78UvxK/Ev8UfxS/Ej8O/w0/C78F/vo+7D7hftn+0D7DPr2+z376/yp/Pn8nvvZ+zj7Gftw++j8PPxo/Ir8sfzJ/ML8o/yG/Hj8b/xg/E78R/xQ/GH8bfx2/IH8jvyZ/J78ofyi/J78ivxn/EH8JPwS/AX8APwL/C38VPxk/FH8K/wV/CL8QvxQ/C/76vuk+4H7iPug+6X7jPti+0H7NPs0+zH7Jvsc+x37JPsp+yP7GPsP+wr7Bfr/+vv6/vsE+wf7BPsC+wT7DPsT+xf7Hfso+zX7Pvs++zj7NPs1+zv7P/s9+zb7LPsj+xz7FvsM+v367fri+t362PrN+rz6rPqh+pv6lfqL+n76cPpg+k76Pfov+ij6Ivoc+hX6DvoF+fn56vnb+dH5y/nG+b/5ufmz+av5nPmK+Xr5bvlj+U75MPkP+PD41Pi2+Jb4efhh+Ev4NPga+AH36ffQ97L3kvd292D3Tfc59yP3D/b+9ur20Paz9pb2e/Zg9kP2JfYK9e/10vW09Zb1fPVi9UX1I/UA9N70vvSh9Ij0dPRi9Ez0LvQN8/Dz1/PA86jzkPN682bzUfM58yDzCvL18uDyx/Ks8o/yb/JO8jHyHPIM8fjx2PGt8YLxW/E68R3xA/Dv8N/wzfC28JvwhvB38GvwWvBF8DPwKfAm8CPwHfAV8A3wB/AA7/rv9O/w7+zv5+/k7+Lv4u/h793v2e/Y79rv3O/b79nv2+/l7/Lv/fAD8AfwEfAi8DnwUPBk8HHwd/B98JHwv/EE8UvxgPGd8bTx0PHz8hDyJ/JI8oHyzPMQ8z3zXfOF87fz2/PY863zd/NU803zWPNo837znfPA897z+PQZ9Er0ivTH9PX1E/Ux9V71ofXs9iz2U/Zl9nL2iPaq9s727PcE9x33Pvdf93L3b/dW9zb3Jvc793T3v/f19/n3yfd29xz2z/aa9of2lva39sr2tvZ99jj1//XU9af1bPUn9On0vfSf9IX0bfRb9FX0YPR/9LP09vU59W31ivWW9Zz1oPWg9Y71XfUF9JD0HfPO87rz1/QO9EX0cPST9LL00fTw9RH1MvVQ9WD1YfVU9UL1MfUl9SL1KvU59UP1QPUv9Rj1AfTu9OP06/UL9TX1SfUs9OD0hvRI9DT0PPRE9D30J/QO8/zz8fPr8+bz3fPR88bzxfPP89vz3vPS87rznvOF827zWfNE8yvzBvLU8pfyWvIf8eHxmPFG8Prww/Cn8J7wn/Ch8JrwdfAb74fu1u467drtue247bXto+2G7W3tXO1O7UTtP+1D7UvtVO1c7WTtb+167Yjtm+217dTt8+4M7iLuOu5Z7nzumu6z7svu6u8V70jvfO+v7+DwEPBA8G3wmvDH8PPxG/E48U3xYfF/8ajx1fH+8iDyQvJn8o3yrPLG8t7y/PMd8zjzSvNc83vzrPPj9A70JvQ29Ez0cfSc9MT04vT+9SX1WvWb9d72IPZi9qj28vc794H3xPgI+E74lPjf+TH5jPnp+jn6evq1+v77X/vN/DT8ivzT/R79c/3M/iD+bv68/xD/a//HACEAegDUATABigHgAjMChgLaAy4DhAPcBDcEkwTtBUUFnwX+Bl4GugcMB1gHpgf8CFgItAkPCWoJxwojCn0K1gszC5cL+wxWDKQM6g0vDXcNvQ37Di4OVQ50Do4OqQ7HDukPDg8vD0wPaQ+JD6oPxg/cD+wP/RAOEBwQJhAvEEEQZBCWEMgQ5hDkEMcQoxCREJsQuhDYEOMQ2hDFEK8QnRCMEHIQSxAXD94Ppw95D1QPOw8sDykPMQ87D0APPA8wDyAPDw7/DvMO8A73DwUPFQ8lDzkPVA91D5sPww/uEBwQRxBoEH8QkRClEMQQ9BEwEXERqRHLEdkR3xHjEeUR2RHBEaYRjxF6EVoRKxD7ENgQxhC4EKQQjBB6EGwQUxAoD/cP1g/KD7gPgg8kDr4Oew54DrIPEw+AD+EQKRBbEIQQshDeEPUQ7BDQELsQvhDUEPYRMBGcEkAS9hOGE8oT0RPKE9gT+BQQFBMUBxP9E/cT6xPQE6sThRNdEt0SnxJeEisSDRH6EeURwxGUEVcRDxDAEHQQMA/uD54PNg69DkIN0g1sDQcMogxGC/0LyQulC4gLcgtmC2cLdguRC7YL5AwZDFEMigzBDPANEg0nDTANMA0sDSYNHw0YDRANBQz4DO0M4gzVDMIMqwyXDIgMfwx2DGwMWwxADBkL7QvFC6cLiAteCygK9wrdCtUKywqoCm4KMgoLCf4J/gnzCdIJlglDCOIIeQgPB6YHOwbLBk4FwAUkBIoECAOxA4YDfQOFA5EDkQNzAysCuwI1AbABOADSAIEATQA/AFUAiwDcAT4BpgIEAlACjQLDAvIDGANBA4ED5gRbBLkE6wUBBR8FUgWDBZUFjwWTBb0F/wY6Bl8GjwcAB9AI6AoBCswLFgrlCm8J+gmoCWoJHgi0CEEH6ge5B54HgAdTBx8G5AahBlMF/QWkBUYE4AR1BA4DqgM9Ar8COgG+AVMA7QCFACj/8//yABkAVwCrAR0BogIPAjoCIAHuAdYB5QIFAhsCJAIvAkYCYQJxAm0CXgJOAkACJgHtAYcBAQB2AAr/yP+j/3//SP79/qj+V/4R/dz9s/2K/Vb9FfzO/JD8Xvw1/BD77/vP+6z7f/tP+y/7LPs7+zr7EPq6+lH57vmY+Uj49Pie+E74CvfX97b3rffB9+34H/hA+Ej4Qfg7+Dr4N/gn+A/3/Pfv99r3rfdu9zf3IPcs90f3Xfdl91j3KvbT9lv14vV/9Sf0s/QF8yvyVfGn8Rjwf+++7t/uEu2I7Vftdu3J7jfuse8579jwkfFV8gPyhvLr8170CPTj9bf2R/Z+9nn2Z/Zm9nv2ofbZ9xf3Qfc99wj2wfaO9nP2WvYt9fD1wfWw9bD1ofV09S304/Sl9HT0TPQn9AHz2vOy84zzZvM98xLy6PLI8rXyp/KS8nPyTfIo8gnx7PHQ8bHxkfFw8VPxPPEs8R3xDPD38Obw2fDK8LTwlfB08FnwRvA28CfwGfAQ8AzwDPAN8A7wEPAU8BjwFvAL7/fv5O/h7/LwEvAw8EjwX/CB8K7w2PD08QLxEPEl8UTxZfGH8anxzPHn8fnyBfIS8iPyLvIn8g3x7/Hi8fHyEvIp8iDx+PHG8aDxhvFj8Srw7PDL8N7xF/FV8YLxpfHR8gjyOvJV8lnyW/Jz8q7zCfOA9AT0hfTy9Ur1lvXk9jX2fva49uT3DvdB93z3t/fs+Br4Sfh9+Lz5A/lR+aT6APpj+sr7MPuU+/z8avzd/VH9wv4x/p7/A/9d/7IADABxANoBOAGIAdUCKQKDAtUDGQNYA58D8wRMBKME9wVNBaYGAAZWBqsHAAdSB6AH6ggzCH4IwwkACTYJbAmmCeIKHgpZCpYKzAr2CxQLMwtfC5YLyQvuDAcMIwxGDGwMiwyfDKcMoQyMDHYMeAyjDPANSg2hDfQOPw5wDnAORQ4hDkMOvg9UD6UPeA7sDlsOFA4eDkgOZA5tDoIOtw8DD0sPfw+lD7wPrg9aDqMNeAvQCbYHZQVdBDIENwVABrYIAwjkCXEJ3Qo/CoMKkgptCjAJ9gnMCa8JjwlgCSEI2giZCGQINggHB9QHngdkByQG4QamBn0GZgZQBi0F+wXDBY8FWwUgBNsElgRYBCAD5wOqA24DPQMbAv8C3gKxAn0CSQIcAfgB2AG7AaQBlQGKAX4BbgFcAUsBOQEfAP0A2gC/AKoAjABdACX/8v/L/6X/cv8x/u/+uP6J/lf+HP3f/aj9eP1N/SX9A/zq/Nv80PzB/K78mfyG/Hn8cvxq/F78T/xE/EX8TfxR/Ez8RPxB/D/8LvwD+8r7lftp+zv7EvsT+238Ffy1/OP8efvF+0X7PvuV+/X8LfxN/Hn8tvzl/Oj8yvyq/Jz8l/yP/IP8ffx//IP8hPyH/Jb8rfzA/Mj8zPzQ/M38svx8/D/8Evv++/f79vwA/B78RPxV/D38CPvg++b8FPxC/Eb8GfvU+6H7kfub+6P7lvt2+1j7SvtJ+0n7Qvs5+zT7Nfs3+zP7LPsm+yD7GfsP+wr7DfsV+xz7Hfsd+yP7Lfs1+zn7PPtG+1T7X/ti+1v7U/tQ+1L7U/tP+0X7N/sr+yT7IPsb+xH7BPr5+vL66/rh+tT6x/q8+rL6p/qZ+oz6f/px+mD6T/pD+jz6N/ox+in6Ivoa+g75/vnv+eT53PnT+cr5w/nB+b75tfmj+ZL5hfl5+Wj5Tfku+RD49PjW+Lf4mviC+Gz4U/g3+Bz4BPfr98z3qveJ92/3WfdC9yn3EPb59uX20Pa69qP2ifZs9k72MvYX9f314PXC9ab1i/Vu9Uv1KPUG9Or00PS29J/0jfR79GT0RvQm9Avz9fPf88bzrPOW84Hza/NQ8zTzGPL98uDywvKj8oXyaPJM8jTyI/IU8gDx4fG88ZfxdvFX8TfxGfEB8O7w2fC+8KLwjPB/8HTwZfBS8D/wMvAs8CjwJfAh8BvwEvAI7//v+e/17/Hv7O/n7+Xv5e/j793v1u/R79Hv0u/R787vze/Q79fv3e/i7+jv9fAJ8CHwPPBY8HHwffB68HbwifC/8QvxT/Fy8XXxa/Fk8WjxevGl8e/yTvKo8u7zJPNZ84/zsfOr84LzVfM88znzPvNF81Pzc/Oc88Hz2fPs9An0NfRk9Ir0pPS89OP1H/Vp9bH17fYc9kv2gPa19tz27vbz9v73Fvc090b3Q/cw9xv3Efcg90z3jPfG99v3ufdq9wr2ufaN9or2pvbK9tz2zPae9mP2LfX79cb1jPVT9ST0//Te9L30m/R/9Gj0WfRX9G70oPTl9Sf1WfV49Yn1kfWQ9YH1XPUe9M/0hPRX9FP0cvSa9Lv0zvTb9Or0/fUQ9SX1PvVX9Wr1b/Vn9VT1P/Ux9TL1QfVS9Vf1SPUp9Qn08PTh9Nr04PT19Q/1FPTz9LD0aPQ89DT0QfRN9Ef0M/QX8/3z6vPj8+nz9vQF9A/0FPQV9A/z/fPe87jzkfNv81PzO/Ml8wny5fK28oPyUPIa8dnxhPEm8NDwk/By8GjwbPBz8GzwO+/L7ybudu3v7ajtke2I7XTtVu097S7tJe0c7RLtCe0G7QbtCu0U7SbtO+1Q7WLtdu2R7a/ty+3k7f/uIe5I7m7uiu6f7rfu2e8D7zHvXO+I77jv7/Ao8F/wkfDA8OrxDPEj8TXxTfF18azx5fIR8ivyPPJQ8mnyhPKd8rTyzvLo8vzzCvMd80Hze/PB8//0KPQ/9FD0ZvSC9KD0vPTY9Pz1K/Vl9aX15vYn9mv2svb890T3i/fS+Bj4Xfik+PP5Tfms+gX6T/qO+tH7Ivt/+938NPyI/OD9P/2f/fn+TP6d/vH/Sf+g//YASwCkAP8BWQGyAgkCYQK5AxEDaAO/BBcEbgTDBRgFbwXMBiwGiQbfBzMHiwfoCEMImQjuCUoJrQoQCmsKvwsVC3QL1gwtDHIMrQzsDTMNeg22DeIOAQ4cDjgOVw55Dp4Oww7kDwEPHw9BD2UPhw+jD7gPyg/YD+AP5A/mD+8QBxAtEFoQfhCIEHMQThA1ED0QYhCLEJwQjBBpEE0QQxBCEDcQFg/hD6UPbg9CDyAPBQ71DvEO9Q75DvMO5A7RDsAOsg6mDp0Ong6pDrsOzw7kDv4PIg9ND34PsA/lEBkQRRBnEIIQnRC6ENUQ6xEAER4RSRF6EakRzxHpEfQR6xHPEasRhhFeESgQ4hCfEHIQYhBgEFoQSRAzEBwQAQ/fD78Pqg+VD2YPDQ6dDkQOKw5jDtcPaxAAEH8Q2xEYEUURdBGiEcERyRHJEdcR/BIsElwSkxLnE1wT0xQhFDQUIRQSFBkUJxQkFAsT7xPcE9ETvBOXE2gTOxMQEo8SVhIfEfMR0xG2EZIRYxEtEPAQrBBjEBwP2w+bD08O7g5+DgoNmw0yDM4McwwoC/ALxgujC4ILaAtYC1MLVwtiC3YLlAu/C/gMOwyBDL0M6A0DDRINGQ0ZDRINBQz2DOYM1QzFDLkMsAymDJYMgQxtDFwMTAw7DCgMEgv2C9ALqAuJC3ULYwtACwwK2grBCsAKvgqhCmwKOQolCi8KQAo6ChAJzAl+CTMI7QilCFYH/gecBy0GqQYMBWEEwARAA+YDrAODA2MDRAMZAtYCewISAagBQwDpAKQAggCKALIA7gE3AY4B7gJMApsC2gMSA0gDfAOzA/oEWAS+BQ4FOgVVBXsFrwXSBcoFqAWXBbMF7QYkBlUGpgdGCDkJTQo2CrsKzAqCChMJswl0CUQJAgijCDwH8QfJB7IHkQdcBxoG0waHBjYF4gWMBTAEyARVA+EDbwL3AnEB4wFiAPQAkgAx/9j/n/+T/6j/0QANAGsA5gFYAZQBjQFjAUYBSgFkAX4BkQGnAcoB9wIiAj4CRwJCAjgCKgINAdEBbwD3AIQAKv/q/7f/hP9M/xH+1P6a/mb+Of4H/cX9cv0c/NX8oPx1/Ef8GPvw+9H7svuN+2j7T/tH+0P7MfsD+rr6XPny+YH5E/iw+F/4Hffq98r3yvfu+Cn4XPhu+F/4Rfg8+Eb4T/hG+C34EPf198v3hfcy9vX26vcO90T3cPeD93b3PfbS9k310/V69S/0wfQT8znyZPG48SvwlO/S7u7uEO1n7Q/tC+1H7aPuDe6F7x/v6fDS8avySfKv8w/zpfR99WX2F/Zx9on2ifaR9qP2v/bn9xn3PPc19wD2vvaS9oD2aPYq9dH1hPVg9V31W/VA9Q/02vSv9Iz0a/RG9Bzz7PO985Lzb/NP8y7zC/Ls8tPyvPKe8njyU/I18hvyAvHm8cnxr/GZ8YXxcvFc8ULxIvEE8PDw6/Dv8O7w3vDD8Kbwi/Bz8FzwRfA08CzwLPAu8C/wMfA18DvwPfAz8B3wBO/37/7wFvAz8E7wavCQ8L/w7vEW8TbxU/Fv8YfxmfGr8cXx6vIR8jLyS/Jg8m/ybfJT8iXx+PHr8gjyP/Jo8mTyMPHq8bHxjvFr8Tfw+fDP8NHw+/Ez8Wnxn/Hi8jDyevKz8uDzDPNA83jztfP79E70qvUD9VP1nfXq9jn2hPbF9v73NPdo95f3v/fi+An4Ofh2+L75CvlY+aj5//pg+sn7M/ub/AP8cfzl/Vn9yP4x/pn+/v9f/7sAGQB9AOABOgGIAdQCJAJ2AsEDBANHA5cD8gROBKcE/wVaBbUGDAZaBqUG8gdCB5QH5whBCJwI8Ak1CW0JoAnVCgkKOAplCpMKwgrtCxELOgttC6cL3AwEDCcMTQx4DJ0Mswy2DKYMhQxdDEYMXQyqDRYNfw3VDiAOZQ6PDoAOPA4BDhUOiQ8WD08PAA5YDcMNjw25Df0OKA47Dl8Opg7/D0gPeg+rD+cQFRAFD4wOkw0QCwQIngZWBNAEfQVMBrMIEAkHCZ0J/gpHCnYKgApqCkcKJgoJCewJxAmPCU0JBwjICJAIVwgTB8cHfAc5Bv0GxgaZBnwGbQZaBjUGAQXLBZ0FcgU/BQIEwASCBEgEDAPNA48DWwMzAxUC9QLOAp0CaAI2Ag4B7wHWAcEBsAGkAZsBkQGEAXUBZAFNAS8BDwDyANYArwB4ADf//P/Q/6j/df81/vL+uv6M/lr+Hv3d/aL9dP1Q/S/9Evz8/Oz83/zQ/Lz8p/yW/Ir8gvx3/Gb8VfxK/Er8UvxX/Ff8U/xQ/Ev8OPwS++L7tPuK+1/7QPtR+7f8Xvz1/Rv8t/wQ+5b7h/vE/Ab8Jfw1/Fv8m/zU/Oj83fzM/Mb8xPy7/K78p/ym/KT8nfyb/Kz8yPzf/Of85/zn/OH8wfyD/D/8EvwG/Af8BfwB/Av8I/wv/Bn75fu5+7v77/wz/Ff8RPwG+7/7kPuC+4j7jfuG+3b7aPtj+2P7YPtZ+1L7TPtH+0L7Pfs7+zj7M/sr+yf7Kfsw+zb7OPs6+0P7TvtX+1r7Wfte+2n7c/t2+3H7aPtj+2L7Y/tg+1j7S/s++zT7MPst+yr7I/sb+xL7CPr++vL65/rc+s/6v/qv+qH6lvqJ+nn6avpf+lj6UPpG+jv6Mvoq+h/6EPn/+fP56/ni+dj50fnQ+dL5zvnB+a/5oPmS+YD5Z/lK+S/5Fvj7+N74wvir+Jb4fvhh+EP4J/gK9+r3xfeh94L3ZvdL9y/3Ffb99ur21/bE9qz2kfZy9lT2OfYh9gb16PXJ9a31kvVz9VH1LvUQ9Pn05PTO9Lr0qPSU9Hr0XPQ+9Cf0FPP+8+PzyPOw85vzg/No80rzLfMP8u/yzfKs8o/ydPJa8kTyMvIh8grx6/HL8a7xlfF58VjxNvEZ8QHw6PDL8K/wmfCM8IHwdPBk8FPwRvA68DPwMPAv8CvwIfAU8AjwAe/97/jv8e/r7+jv6O/n7+Hv2e/S787vzO/J78bvxO/F78fvyO/M79bv5+/88A/wIvA68Fnwc/B58G3waPCG8MrxGvFS8WPxV/FC8TTxN/FR8Yjx1PIm8nTywPMP81Xzd/No8zvzFfMP8x/zKvMo8ynzQfNx86TzxvPY8+bz+vQU9C70RfRf9IP0t/T29Tf1dPWv9fP2QfaJ9rn2yfbJ9tH26PcF9xT3EvcE9vb27fbz9xP3Uvef98/3wfd09wz2ufaU9p32vvbd9ur23fa79oz2VfYa9d/1rPWF9Wr1TPUj9O70u/SU9Hn0ZvRc9GL0f/Sw9Or1H/VJ9Wj1fPWD9Xz1ZvVE9Rv09vTh9OD07fT49Pr09/T49QL1EfUg9S/1P/VT9Wf1cfVt9Vz1RvU59Tz1TvVe9Vr1PfUR9Or00/TL9Mr0y/TQ9NP0yvSq9Hn0TPQ29Dr0S/RW9FD0OvQe9ATz9PP29An0KPRE9FX0VPRC9CHz9/PI85vzc/NT8znzJfMR8vbyzvKc8mjyN/IE8cPxbfEL8LLwc/BQ8EbwS/BQ8D7v+O917s7uMe3H7ZTtfO1i7TztGO0B7PXs7Ozf7NPszOzJ7MfsyezT7OrtCO0j7TrtUe1s7Yftoe277druAu4t7lLucO6N7q3u0+737xjvOu9n76Hv4vAi8FzwjvC68OHw//EV8SfxQfFt8anx5vIR8ibyLPI18kjyZPKB8pnyrfK+8s3y2/Lv8xTzT/OY89/0F/Q89FL0YvR09Ir0o/TA9OH1CPU59XH1rfXs9i32c/a89wf3U/ee9+b4K/hv+Lf5Cfli+b36Efpe+qv7APta+7T8Cfxc/LL9Df1p/cH+F/5r/sL/Gf9v/8UAHAB2ANIBLQGHAeICPgKbAvcDUAOnA/4EUwSlBPYFSQWhBfwGWAaxBw0HbQfQCC0IhAjaCToJpAoLCmQKsAr+C1ULsQv/DDoMbAymDOsNMA1mDYoNpQ3CDeMOBg4qDk8Ocw6UDrIOzg7uDxIPNg9WD3APhA+TD50Pow+mD6oPsQ/AD9kP+BAREBgQEBAKEBgQPBBgEGgQTBAeD/0P9xAAEAEP6g+7D4QPUw8sDw0O9A7iDtgO0Q7DDqsOjQ5yDmEOVg5QDkwOUQ5eDnIOiQ6kDsYO8A8iD1gPlA/XEBkQURB8EKEQyRDvEQcRCRECEQ4ROxGBEcUR9BIIEgUR8hHVEbIRiRFUEQcQqRBSECAQGBApEDcQNBAiEAkP7A/ND7IPlw9vDycOwg5lDkAObA7hD34QIxC/EUMRohHcEgISKRJZEogSrRLPEv8TRhOWE+AUHxRbFJIUtBSuFIgUYBRNFE0URRQmE/kT1RPDE7UTlhNiEyUS7xLBEkgSCRHOEZwRcBFAEQgQzxCcEG4QQRAMD9IPkg9NDvwOnw45DdANaA0CDKEMTQwMC9sLtAuRC3MLYQtbC10LZAtsC3gLiguoC9gMGQxiDKQM0wzvDP4NBw0JDQMM9QzkDNAMvAypDJsMkgyIDHgMYgxKDDQMHgwIC/IL3gvHC6ULfAtXCz8LLQsRCuYKuwqnCqoKrgqbCnQKVApUCmwKfQpoCisJ3gmeCXoJaQlVCS0I7AiVCC0HrAcPBl4FqgUJBIMEEwO5A3QDQQMTAtsCkQI9AeoBngFbASoBFgEiAUUBcwGrAfECSAKjAvEDMANpA6QD4gQjBHAEygUjBWMFhgWgBckF/AYYBgYF3QXGBdoGBgYzBmsG2AeVCIkJcgoWCl0KVgodCc8JhQlNCRwI4AiPCDoH+AfRB7MHiQdLBwMGuAZrBhgFwQVpBQoEnwQoA64DNwK6AjABnwEXAKQAP//d/4T/Rv8t/y//Pv9b/5j/+gBnALQAygC2AJ0AlgClAL8A3gEHAT4BgwHLAgUCIQIfAg0B+wHtAdUBoAFOAO0AkQBDAAD/w/+L/1b/IP7r/rr+i/5V/gv9sP1U/Qz82Pym/Gv8LPv7++H70fu5+5P7aftI+zb7LPsf+v/6wfpf+eD5V/jb+Hr4Mvf/9+H34vgG+D/4afhs+E34K/gm+D/4Wvhb+ED4F/fn96f3Uvb89sr20fcG90b3cfd992T3Hvas9ib1sfVd9RD0nPPl8wHyHPFa8LjwHO9u7q7t8+1Z7Pns2+z07S7tee3X7lvvFe/28NfxjfIP8oTzHPPm9MD1dvXs9jX2b/ao9tf29vcP9y/3S/dF9xH2x/aO9nD2UvYU9bj1YvU09S31L/Ug9P701PSt9In0Z/RF9CDz9fPH85zzffNp81jzRPMr8w7y7PLE8pvyePJe8knyL/IQ8fLx2vHH8bHxlvF28VTxMfEU8QPxBvEV8SPxIvES8Pnw3vDC8KPwgvBl8FPwTvBR8FXwVfBT8FLwUfBM8D7wKvAb8BrwKPA+8FXwb/CS8L7w7/Eg8VHxgfGu8c/x4vHv8gDyG/I88l7yfPKX8qfyn/J68kHyEfIK8jnyhfLB8sHygPIf8cnxkfFo8Tfw+/DM8MPw4vEX8VLxkfHa8iryefLE8w3zWvOj8970CfQ09Gv0svUA9Uz1lvXg9ir2cva39vr3OPdu95j3uffc+Af4PPh8+MX5Ffll+bX6CPpk+sz7N/ug/An8d/zs/WD9zf4y/pf+/v9l/8cAJQCCAN4BNgGIAdcCJwJ2Ar4DAQNJA5wD9wRSBKwFBwVnBcQGFgZcBp0G4gcuB38H2gg/CKkJBwlTCY4Jwwn3CiMKRQphCoMKrwriCxcLTguKC8YL+QwkDEwMdgyfDL0MyQzCDKUMdAxBDC4MXAzFDT4NmQ3NDfYOKQ5TDksOCg3BDboOCg54DqgOaw3qDYANbQ2iDeQOCA4dDkoOnw8CD1EPiA/IEB4QbhB9ECAPRg3sDAsJugdbBZAE5wVzBr8IJQkxCdAKKApaCnUKegpzCmcKWApBChwJ6wmyCXMJNAj3CLoIdggkB8wHegc0BvkGxgacBoIGcgZeBjkGBAXQBaUFgQVYBSUE6wSvBHEEMQPvA7IDfwNXAzYDGQL2AsoClAJdAjACEAH5AeQB0QHEAb0BtgGtAaABkQF/AWUBQwEcAPEAvgCAAD0AAf/T/6r/ev89/vv+wP6M/lf+G/3b/aP9ef1Z/T39I/0L/Pf85fzS/L/8rfyh/Jf8jvyA/HD8Yvxa/Fv8Yfxm/Gf8Zfxg/FL8OPwV+/H70/u4+5j7ffuK++D8dv0J/UX9Bfx4+/v7zvvm/BH8J/wy/Ez8fvyx/ND82PzZ/Nn80/zD/LH8qvyq/Kf8nfyZ/Kj8xvze/OP83fzX/M78svx8/ET8JPwk/Cv8IvwL+/z8APwI+/z72Pu0+7D71vwR/EH8Svwn++r7rfuH+4D7jPuY+5f7jPuA+3r7eft3+3P7bPtl+177WftY+1j7V/tV+1H7T/tQ+1D7UftV+1/7a/ty+3P7cPtw+3f7f/uC+4D7evt2+3X7d/t5+3f7cPtl+1j7T/tM+0v7SvtE+zr7Lvsg+xL7Bfr6+u363/rQ+sT6uPqr+pz6jfqC+nn6bvpe+k36QPo3+i36HPoL+f359vnx+en54/ni+eX55fnd+dH5w/m1+aL5iPls+VL5Ovki+Qf47PjU+MD4qviP+HD4UPgu+An35Pe/9533ffde90D3JfcN9vn25PbN9rH2kfZx9lX2PvYq9hH18/XS9bT1l/V69Vn1OvUg9Qv09/Tk9NH0v/Sq9JD0cvRY9ET0M/Qc9ADz5PPM87bznfOA82LzR/Mr8w3y6/LM8rDylvJ78mHySvI08hrx/PHf8cjxs/Ga8XnxVPEz8RXw+vDf8MfwtfCl8JXwhPB28GrwXvBO8EDwN/A08DHwKPAb8A/wCPAC7/vv8u/r7+nv6e/n7+Pv3e/X79Lvy+/F78HvwO/B78PvxO/H79Lv5e/68AjwD/Ab8DbwV/Bq8GXwV/Bg8JPw4vEs8VbxX/FU8UbxPfFD8VzxifHE8g7ybPLZ8znzY/NH8wTy0fLN8urzAvMF8wLzFfNG84Dzq/O/88fz0PPg8/X0DPQn9Er0d/Sr9OD1FPVK9Y313vYs9mP2fPaH9pz2vfbc9ur25fbc9tP2yvbG9t33I/eH99f33feR9x72wvaf9q720vbx9wH2/Pbi9rX2efY39fz10PW29aH1gPVI9P30tPSA9GX0XfRe9GT0dfSS9Lf04vUO9Tj1W/V09YD1f/V09WL1TPU69S/1J/Ud9Q/1A/UC9Q31HfUr9TP1PfVL9V31bPVu9WL1TvU/9T71SvVV9Uz1KvT69M/0t/Sv9Kz0p/Sf9JX0hvRu9FH0O/Q29D/0TfRS9En0NfQf9A/0DvQg9D/0Y/R/9Ij0e/RZ9Cfz7fO184bzX/NB8ynzGPMJ8u/ywvKG8kfyE/Hm8a7xX/EB8Kvwb/BT8E/wU/BK8Bzvt+8h7n7t+e2p7YLtZO087Q7s6+zX7MjstOyd7I/sjOyP7JDsk+yg7Lrs2+z67RXtMO1L7WTte+2W7bnt4+4L7i7uT+537qTuze7q7wPvJu9b75zv3fAV8EbwdfCj8M/w8/EP8SbxP/Fk8ZTxx/Hu8gLyCfIS8ijySvJr8oTylPKe8qryufLR8vXzKPNn86zz6/Qc9Dr0SvRW9GX0fvSd9MH05/US9UT1e/W19fT2N/aA9sz3Gvdo97P3+/hB+Ij41fko+X750vol+nr60/sv+4j73Pws/Hz8zv0j/Xn90/4u/or+5P89/5f/8wBPAKoBBAFdAbkCGAJ4AtgDNQOPA+cEPQSQBOEFMwWIBeAGOAaRBusHSgerCAkIZgjGCTAJnwoHCl0KpQruC0ALkgvVDAYMMAxkDKQM4A0MDSkNQw1kDYsNsg3VDfkOHw5DDmMOfw6eDsAO4g8ADxkPLg9BD1IPYQ9rD3APbw9tD3QPjQ+zD9oP9hAJEBsQLxA4ECcP+g/FD6EPmw+oD7IPqQ+ND2gPRA8lDwsO8w7dDsYOqw6JDmEOPA4fDg8OCA4FDgUODA4ZDiwORA5jDowOvQ70DzIPew/QECkQdBCtEN0RDBE2EUwRSBFAEVMRjhHaEhMSIxIOEeoRxhGlEYURXBEhEMwQahAWD+4P9hAYEDYQPxA1ECAQBA/kD8IPmQ9dDwgOsA6CDqcPHw/FEGsQ/BF5EeUSORJvEpUSwBL6EzsTdBOnE+IUMRSLFOAVHxVBFT8VFxTSFIsUYBRVFFMUOxQKE9YTthOrE50TeBM9EvoSvRKEEfoRpBFXERgQ3hCjEGcQMxAQD/gP4Q/AD48PUA8CDqcORg3jDYINJAzHDHAMJwvwC8QLngt7C2ELVQtXC2ELbgt/C5MLqgvFC+oMHwxgDJ4MzAznDPUM+wz7DPYM7gzlDNkMyAyzDKEMkgyFDHEMVgw4DBoL+wvcC8ILsAugC4ULWwsuCw0K+grnCskKqgqaCp0KowqYCoEKdgqJCqoKtwqYClQKEQnxCgAKKQpJCkQKEgm7CUgIvAgWB1kGkQXPBR0EgQQEA6sDcQNGAxUC2AKXAl8CMwIOAfAB3wHgAfACCgIxAmwCugMNA1gDmAPUBBEETwSSBOAFOQWLBb8F0QXYBfAGFAYmBhgF+gXwBgUGKgZSBpMHEwfVCKgJTgmqCc8J2gnSCa0JbAkfCNoInAhdCBwH5Ae7B5UHZAclBuAGmgZPBfkFmwU5BNQEZgPvA3YC/wKFAf4BbwDnAHAABv+h/0P++/7S/rz+q/6i/rP+7v9G/5j/xv/N/8D/tv+7/9P//QA5AIUA4gFFAZ8B2gHrAd0BxAGvAZoBeAFCAQAAvAB5ADb/8f+t/2v/K/7u/rv+kf5h/h/9y/13/Tb9BPzO/Ij8PvwF++j72fvF+6L7ePtR+zb7KPsl+yD7BPq7+j/5pfkQ+Jz4Tfga9/v38fgB+CD4N/gv+BD39vf9+B/4Pvg8+Bf34Pek9173DvbK9rD2zPcH9zv3Tvc+9w/2wPZV9eD1fPUw9OT0b/O48svxzfDd8A3vXO7C7jrtw+1j7STtCe0M7SLtRe197dbuWe8A77TwX/D38YryLfLp86n0UfTW9U31zfZT9sL3Avcc9yz3Ovc09wL2sPZl9jn2IfX/9cT1g/VW9UP1NfUc9PP0xPSW9Gz0SvQx9B30AvPc87LzkfOA83jzbvNc80DzHfL18s7yrfKT8njyWPI08hTx/PHl8cjxo/F98V3xRPEw8SXxJ/Ez8UHxRvE+8S7xHPEJ8PDw0PCu8JHwgPB78HrwdvBs8GHwW/BY8FTwSvA98DfwO/BH8FnwcfCV8MXw/PEz8Wrxn/HQ8fryGfIv8kHyU/Jn8nzylvKy8sbyxPKl8nTyT/JT8ovy4fMk8yby2/Jj8e/xnPFk8S/w9vDK8MPw5PEe8V3xm/HZ8hnyWvKd8ubzNvOD88Tz+PQr9Gj0sPT79UT1iPXK9gr2SfaM9tL3FvdP9373q/fg+B34W/iZ+N35Kvl7+cv6Gfpu+tD7Ovul/BD8fvz0/Wn91/47/p7/Bf9r/8sAJAB7ANQBLQGCAdQCJwJ4AsQDDQNXA6gD/wRXBLAFDQVtBckGGQZdBpwG3gcoB3kH1Ag7CKQJAglMCYcJvgn0CiEKQQpZCnoKqwrqCy8LcQuvC+cMFwxBDGgMjQysDMAMygzGDKkMcgw2DCMMXAzSDUoNjw2dDaINwg3vDfoNzQ2FDV8New29DekN3A2pDYYNlA3GDfUODA4dDk8OqQ8SD2kPrg/9EGIQuRDGEGQPlg5iDLgKkwg4BkMFVQWkBtMIOAlSCfwKUwp/CpQKmQqXCpMKhwpqCjwKBgnQCZsJYwkkCN4IkwhGB/4HvweGB0oHCAbJBpsGfwZmBkEGDgXbBbIFkgVvBUQFEgTZBJsEWQQYA98DsAOJA2YDRwMnAv4CyQKPAl4COwIiAgoB8wHkAd4B3AHXAc0BwQG0AZ4BeAFEAQgAyQCHAEYADP/c/7P/hP9J/wj+yf6P/lf+HP3j/bH9iv1r/U39MP0V/P786PzT/L/8sPym/Jv8j/yB/HX8b/xt/G/8cfxz/HX8dfxu/Fz8QPwf/AP78Pvh+837tfux++P8U/zf/T79Pfzg/Gb8FPwA/BT8K/w8/FH8cvyX/LP8wPzE/MH8tPyf/Iv8hfyI/If8fvx5/IX8n/y0/Lf8rvyn/KP8k/xx/Ev8Ofw+/ET8NvwV+/j78fv5+/v77fvW+8X7yPve/AH8JPw1/CX7+fvH+6j7pvuz+7v7tPuk+5j7k/uT+5P7kvuN+4j7g/uA+4D7gfuA+3z7dvtv+2r7avtv+3n7g/uH+4X7gvuD+4f7jfuR+5L7kvuR+5H7kvuW+5v7nfuY+437gvt7+3j7dftw+2b7V/tG+zP7IvsU+wj6/frz+un63frQ+sD6sfqm+pz6jvp7+mb6VfpJ+jz6K/oY+gn6A/oB+f/5/Pn7+fz5/Pn3+fD55/nd+c35tfmY+X35ZflO+TX5GvkA+On41Pi8+J74evhS+Cr4Bffi98D3nfd691n3PPci9wr28fbV9rb2lfZ19lv2R/Y39iH2BPXi9cD1ovWE9Wb1S/Uz9R71CfT19OT01PTA9Kf0i/Rz9GL0UfQ69B30AvPq89Pzt/OX83rzYPNH8yrzDPLw8tfyvPKe8n/yY/JJ8i3yD/Hz8d3xyPGv8Y/xa/FJ8SrxEPD78O3w4PDM8LPwmvCK8IPwe/Br8FbwRfA78DTwKvAd8BLwCfAB7/jv8O/r7+nv5+/j7+Dv3e/a79Tvy+/C77zvu++/78Tvx+/L79Tv5u/68AjwC/AO8BzwNvBN8FHwSfBL8HDws/D88TPxUPFX8VPxTPFK8Vbxb/GX8dbyN/K48zHzbfNP8vbypfKL8qTyx/LZ8uHy9/Mk81jzf/OT85zzqfO/89nz9PQN9Cv0UfSB9LP04fUN9T/1fvW+9fH2EvYx9l72lPa+9sv2xfa/9rz2tPap9rj2/vdx99f37/eo9zH2zfak9rH22fcD9yD3J/cT9uL2oPZd9iP1+PXW9bP1g/U99Of0k/RV9Dj0NfQ/9Er0VvRm9H30nvTH9Pf1KfVY9X/1mPWe9ZD1dvVZ9UD1MPUj9Rj1EvUV9SH1L/U59Tz1P/VH9Vf1Z/Vx9Wz1WvVG9Tr1OvU89TT1GfTw9Mb0p/ST9IX0ePRr9F/0U/RI9D30N/Q59D/0Q/Q/9DX0KPQj9Cr0QPRi9Ib0ovSv9Kj0j/Rk9C3z8fO684vzYvM/8yPzEfMC8ubysvJr8ibx9/HX8azxZPEE8KrwcfBg8GfwavBP8AHvgO7e7kPt0+2U7W/tRu0T7OPsxOyy7Jzsfuxh7FTsV+xf7GPsaex47JTstOzT7O/tDe0r7UXtXO157Z/tye3u7gzuMO5f7pPuve7b7vnvJe9e75jvx+/w8B/wWfCV8Mfw7fEK8STxPfFW8XPxlvG58dTx5vH38hHyNfJX8m7yefKA8ovynfK38tby/fMu82jzpvPc9AP0FvQg9C30RfRo9JL0vvTs9Rz1UPWH9cL2AvZH9pH23vcs93v3yPgU+GD4r/kA+VD5nPno+jf6jPrl+z37k/vm/Dj8ivze/Tf9lv33/lf+tP8P/2v/yAAjAH0A1QEvAY0B7gJRArIDEgNvA8kEIAR1BMoFHwV1Bc0GJQZ6Bs8HJQd/B98IQwiuCR4Jjwn0CkgKkQrZCyYLbgumC84L9AwkDFwMjwyyDMsM5w0MDTQNWQ17DaANyQ3xDhUONA5VDngOmQ6zDscO2w7xDwgPHQ8sDzUPOA83DzwPUg95D6gP0Q/sD/cP9A/gD7oPhw9VDzUPLA8zDz8PRg9CDzUPIw8NDvgO4Q7FDqEOdA5EDhgN9Q3dDdANyg3IDcsN1Q3iDfMOCQ4oDlUOjg7PDxoPdA/aEEIQmRDcERIRRhFzEY8RnBGwEeMSLRJpEnESPRHqEZ0RZhFAERsQ7xC2EHEQKw/7D/MQEhBAEGIQbhBoEFgQPxAdD/APtg9rDxUO1g7eD0YP+BC2EU0RsxIBEk0SlhLUEwcTPRN9E70T8hQdFFAUlhToFTMVYhVpFUMU9xSfFFwUQRRDFD8UGxPeE6cTjBODE3UTTxMWEtcSlhJNEZYRKRDLEIEQRRAPD+EPwQ+uD6EPkA9zD0YPCA64DlkN8Q2LDSwM1QyEDD0MAwvXC7ILjwtvC1gLTQtNC1MLYgt9C6ALxQvnDAkMNQxtDKYM0wzsDPUM8wzsDOUM5AzqDO4M6AzXDMEMrwydDIYMZgxADBgL7gvFC6ILjAt+C2cLPwsQCusK2ArOCr0KqAqcCpwKnQqVCokKjgqwCt4K9grmCr0KnQqnCt4LKQthC2kLNwrSCkwJrgj5CDAHVgZ4BaUE7QReA/sDugOGA1ADGALsAtQCzALGAroCqQKcApkCpALBAvMDNAN5A7sD/AQ/BIEEvQT6BUQFnQXuBhkGGgYMBg0GHgYqBiIGEwYTBiQGPAZeBqoHOAfxCJUI9QkZCTUJZQmTCY4JSQjjCIkITAgdB+8HwAeWB20HOwb+BrwGegYwBdcFcQUGBJoEKgO2Az8CygJTAdMBTADJAFL/5v99/xj+wf5+/kn+Fv3n/dH95f4h/mf+nf60/rL+p/6j/rX+4v8p/4b/9gB0APQBXQGbAagBkgFqAToBBgDVAKsAigBoAD4AB//E/3b/If7Q/pT+b/5Q/iP94f2Z/Vz9KPzs/KP8V/wc+/X72Pu4+5T7dPtb+0T7Mfso+yj7Hfrq+nr53/lA+ML4cvhB+B/4Bff59/n3+Pfq99L3xPfQ9+n38vfY96H3Zfcv9v32yfaj9qL2yfb/9x/3F/br9qn2WPX89aD1UfUN9MD0SvOX8qvxm/CG74/uze5G7e7ts+2O7X7tfO197XvtfO2O7bjt+O5K7q3vIe+l8Dbw1PGC8jby2/Nt9AP0uvWQ9lX21/cI9w33CvcB9t32lvZJ9hr2DvYN9fv11/Wu9Yj1XvUp9Ov0rfR39Ev0LvQg9Bn0DPPv88fzpPOR84jzf/Nt81TzN/MY8vjy1/K28pPybvJL8i7yFfH48dTxq/GI8XDxYvFY8VDxTPFO8VDxT/FH8T7xN/Ey8SnxGfD+8N3wvvCp8J3wk/CF8HTwZ/Bg8FvwVPBK8EHwQPBJ8Fzwe/Cp8ObxJvFh8ZHxuvHg8gfyLvJR8m7yg/KQ8pzyr/LH8tvy3/LP8rPyovKv8uXzM/Ny83XzK/Kp8h7xr/Fh8SHw6PDD8MXw9PE68YHxvfHy8iTyVfKG8rry9fM183jzvfQG9FP0n/Tn9Sr1a/Wp9eH2GfZW9pr23/cc91X3l/fm+Dv4hPjC+P75RvmY+ef6Mfp/+tz7Rfuy/B78jf0C/Xj95v5L/qz/Df9s/8YAGgBwAMoBIwF4AcsCIQJ7AtEDIANrA7gECgRgBLkFFQVyBcsGGgZgBqMG6AcxB38H1QgyCJAI4gkkCV0JlgnTCgkKNApYCoMKvwsIC1MLlwvQC/8MKAxPDHMMkQykDLIMvwzDDKkMaAwcC/0MMwysDScNaA1wDWoNfg2jDbENkA1PDRoNDQ0kDUcNYw14DZQNvg3vDhUOKg5ADnQOyw8yD48P4BA4EJwQ5BDcEGwPpQ6VDSILLAjfBtAFsQXUBusITAlrChoKeQqvCssK0QrLCr8KqwqHClQKHQntCcIJjwlMCPsIqghqCD8IIgf9B74HYwcEBrwGkgZ3BlUGJQXyBcgFpAWBBVkFLAT7BMQEiAROBBoD7QPDA5wDeQNYAzMDAQLKApoCdgJZAjsCHQIHAgECAQH/AfgB7wHmAdMBrAFvAScA3gCZAFoAIf/w/8L/kv9Z/xr+2v6d/mP+LP35/c39qP2G/WP9Qv0l/Qz89vzh/M/8wPyy/KL8kPyC/Hv8e/x//ID8fvx8/H38ffx3/Gv8WPxB/Cr8GPwL+//77vve++j8K/yk/Sb9bv1X/Pf8jfxL/Dn8P/xK/Ff8bfyJ/J38o/ye/JH8gPxs/F38Wvxf/GD8WvxT/Fr8bPx8/H78ePx2/Hv8evxp/FL8RPxF/Eb8OPwd/AX7/vwF/A/8EfwH+/D70Pu4+8D77/wu/Fb8TPwa++T7yfvL+9T71PvJ+737tfuy+7H7sPuv+677qvum+6T7pPuk+6D7mPuP+4r7ivuP+5b7mvua+5n7mfub+5/7ovuk+6f7rfuy+7P7svu0+7v7xfvK+8f7v/u2+6/7qPuf+5T7hftz+137R/s0+yb7G/sS+wn6/vrw+uH60frF+rr6rPqa+oT6cPpg+lL6QPot+h76F/oX+hj6GPoY+hj6FvoS+g36B/oC+ff54vnH+av5k/l++Wf5TPkw+RX4/vjn+Mn4ovh2+Ev4JfgE9+P3v/eZ93T3Uvc09xf2/Pbg9sP2pPaF9mv2VvZE9i72EfXv9c31rfWQ9XX1XPVH9TP1H/UL9Pz07fTb9ML0pvSP9H30avRR9DX0GvQD8+nzyvOp84vzc/Na8z7zIvMK8vTy2vK58pbyd/Jb8j7yIPID8erx0vG28ZfxdvFY8TzxJfEX8RLxC/D38NTwsfCe8JrwmfCM8HbwXvBN8D7wL/Ag8BPwCe//7/fv8u/x7+/v6e/h79vv2e/X79HvyO+/77rvue+878Pvyu/Q79bv4O/w8ADwCfAK8A3wGfAp8DLwNPA78FjwjPDI8P7xJfE98UbxRvFH8VHxZPGA8a3x//J/8wrzYvNc8wXyoPJn8mnyivKq8sTy4vMK8zPzUfNi83Pzi/Os88/z7PQB9Bb0NvRm9J700fT49Rr1QfVp9Yv1q/XY9hz2aPae9q/2qPak9qj2pvaY9p322PdI97b33fen9zz22vaq9qz20PcC9zD3R/c39wL2vPZ69kP2DvXW9Zf1VfUO9MP0efQ+9B70FvQa9CD0JfQu9EH0XvSF9LX07/Ux9XD1nvWw9aP1f/VX9Tn1KvUm9Sj1LPUz9T31SPVP9VH1UPVT9Vv1Z/Vx9XD1YfVL9TT1JvUg9Rr1C/Tx9M30qPSG9Gr0VfRG9D30OPQ59D30Q/RH9ET0O/Qw9Cn0LvRC9GT0jvS29NL02/TP9LX0kPRj9DHz/PPL85zzcPNG8yTzDPL48tXymfJN8g3x7PHe8b7xcvEF8J/wZPBc8GvwbPBC7+PvWO697jXt1u2b7W3tNuz47MTsouyJ7GzsSuwx7CzsNew+7EHsR+xZ7HTsj+yn7MHs4+0G7SPtPO1b7YTtsO3T7fHuFe5F7nnupO7I7vPvKe9e74Tvou/S8CbwjPDe8QTxCPEI8RXxLfFD8VXxbPGN8bDxz/Hp8gXyJfJD8lXyXfJi8mzyffKU8q7yyvLt8xzzU/OK87Xz0PPf8+30BvQt9F30kPTD9PX1KfVf9Zf10/YU9ln2o/bx90H3kPff+DD4g/jV+SD5ZPmo+fH6QvqX+u/7R/uh+/r8Uvyq/QX9Zv3J/ij+g/7c/zf/kv/tAEYAoQEBAWQBxgInAogC6ANHA6ID+QRPBKUE/gVXBbEGCgZgBrIHBQdeB8EILAicCQoJcwnRCiIKawqxCvULMQthC4YLrQvcDA8MPAxdDHoMmgzBDOYNBg0mDUoNdQ2eDcMN5g4MDjUOVw5uDn0Ojw6nDsEO1g7lDvIO/w8MDxoPKw9CD18PeQ+HD4QPcg9WDzgPGw8BDuoO1g7KDskO1A7iDugO4g7TDsAOqQ6KDl4OKg33Dc8NtA2jDZgNkg2UDZ0NrA28DcwN3w39DisOag64DxIPdw/iEEYQmBDZERIRSRF8EacR0xIVEnESxhLjEqkSKxGgETkQ+xDTEKkQeRBKECIQCRAJECUQVRCCEJwQohCeEJcQhxBnEDQP7g+cD1APMA9lD/gQwRF6EfQSMxJdEpUS3BMjE2ATlRPEE+oUBxQpFGAUrRT/FT0VVRVEFQ8UwxR5FEsUQBRDFDIT/RO3E34TYRNTEzwTExLeEqMSXBICERwQqBBJEAEPzA+lD4sPfA9xD2APQg8bDu4Otw5vDhMNqQ0+DN8MjQxIDA4L3wu8C54LgQtnC1MLRgtAC0ALTAtpC5ULxAvsDBIMQAx3DLAM3AzzDPYM6QzWDMYMxgzXDO4M+QzzDOMM1AzFDK0MiQxcDCwL/AvMC6ILhQtyC1oLMgsBCtoKxwrBCrgKqgqfCpsKlwqNCoUKkgq9CvkLKgtEC00LXQuFC8MMBAwrDCML4gtyCuIKQAmRCM8H+gcZBkAFhQT0BIgEMQPfA5ADUAMuAysDOwNMA1EDSgM9AzIDNANKA3IDpQPZBBEEVAShBO0FLQVoBa4GAgZKBmgGWgY7BiwGMgY7BjsGNQYzBjMGNQZOBqMHPgfwCHAIngifCLgJAQlKCVQJDQihCEkIFAfxB8kHnQd0B04HHgbgBpsGVQYJBbAFRwTWBGYD9gODAw4CmQIkAaoBKwCuADn/y/9e/vH+if4t/dj9hv0//RP9Ef00/WX9jf2c/ZX9gP1t/XD9kv3X/jv+vf9YAAEAoQEXAVABSwEYAM4AggBJACkAHgAbABP//v/U/43/LP7H/nz+Wv5O/jr+Cv3I/YT9Q/z9/LL8bfw5/BD74/uu+377YvtX+037PPst+yb7Hfry+pD6Aflq+PH4ofhu+EX4Hvf+9+f30/e996j3nvei96P3ivdQ9wz22fbA9rX2p/ab9qH2vvbi9vH23vat9mv2IvXW9Y31R/T89J30GPNi8nfxZvBL71Xupu5A7gzt8O3l7evt++4A7fTt4u3d7ejt+O4F7hvuSu6U7vPvavAC8LfxcPIa8sfzovS39dD2m/bt9uv21/bU9s/2rPZ09kj2PPZB9jz2IPX19cT1i/VE9PX0q/Rw9Ef0L/Qi9Bv0DvP189Tzt/Ok85fzh/Nx81nzQvMt8xLy8fLN8qnyivJw8lfyOPIQ8eLxtvGW8YXxfPF38XPxb/Fq8WLxV/FL8ULxP/FA8UPxQPEz8Rfw8/DT8L7wtPCq8JrwhfBx8GHwU/BH8D/wQPBN8GnwlPDO8RPxVvGO8bbx1PHx8hHyN/Jf8oXyo/K48sjy2PLo8vLy8/Lt8ufy6vL/8yrzZfOY853zWfLW8jzxtfFQ8QPwx/Cl8LDw6fE68YvxzfIG8jrya/KV8rry4vMW81jzpvP39ET0ifTJ9Qr1TvWP9cf1+fYw9m/2sPbu9y73fvfh+En4n/jh+R35Y/m0+gT6T/qc+vb7XvvK/DX8o/0W/Yv9+f5d/rv/GP9x/8UAGABvAMkBIAFyAcYCJAKJAuoDPAOBA8YEFARrBMcFIwV8BdEGHgZmBqsG8Qc6B4QH0wgkCHMIugj3CTAJbgmxCfIKKgpeCpYK2gsnC3QLtQvlDAkMKgxNDG8MiQyZDKYMtgy4DJIMOQvRC54LzAxJDNINLg1UDWINcg19DXINSA0SDOUM0AzUDPANIA1dDZsN1g4KDjYOWA56Dq4O/Q9fD70QEhBlELQQ3xC8EEAPgw6VDVELhQlHBysF8QX8BwcIZgmDCjQKmgraCv4LAgryCtwKxAqgCmwKNAoFCd8JsQlrCRIIuwh/CGUIXQhFCAIHmAcmBtMGqQaSBnMGRAYPBeAFtwWOBWEFNgUPBOcEuQSIBFgEKwP/A9MDqwOJA2QDOAMHAtsCugKbAncCUQI0AikCKQIoAiECGAIPAfwB1AGVAUgA+wC0AHUAPAAJ/9n/p/9u/zL+9v67/oH+Sv4Z/fD9zf2r/Yf9Y/1D/Sn9Evz+/O383vzM/Lf8n/yO/In8jfyR/JD8i/yG/IP8f/x6/Hb8dPxw/GT8UfxC/Dr8Mfwc/Aj8HPx4/Qv9lf3Q/av9Tfzu/Kn8fPxd/FH8Xfx4/I78kfyD/HD8YPxT/Er8SPxM/FD8TPxH/Ej8Uvxd/GD8X/xk/G78c/xr/Fn8SfxC/D78Nvwr/CL8Hvwf/CL8Kfws/B779vvG+7H70vwc/F38a/xE/An74PvW+9z74vvj++D73fvY+9D7yvvH+8j7yPvF+8L7wPu/+737ufu0+7D7sPux+7L7svuw+7D7s/u3+7r7uvu5+737xvvR+9b71vvW+9376fv1+/r7+Pvy++v74fvU+8X7tfuj+477d/ti+1D7Qvs2+yv7IfsU+wX68/rh+tL6xPqz+p/6ivp4+mj6WPpI+jr6Mfov+jD6M/o1+jf6Nvoy+iv6Jfoh+hj6CPnw+dT5vfmp+ZX5fPle+UH5KPkP+PL4y/id+G/4SPgl+AT33ve294/3avdI9yn3DPbx9tb2uvac9n/2ZvZP9jb2F/X29dX1t/Wd9YX1cfVf9U/1PfUr9Rz1DfT59N30v/Sl9I/0ePRd9ED0JvQN8/Hz0vOy85nzg/Ns81DzNvMg8wzy8vLQ8qvyi/Ju8lHyMfIS8fXx2PG58ZrxffFj8UnxM/En8SbxI/EQ8OrwwfCq8KXwpvCe8IvwdPBf8EzwOPAn8BjwDfAE8ADwAPAC7//v8+/k79rv1+/T78vvwu++773vve+978Lvy+/T79Xv1u/c7+jv9e/67/vv/vAH8BLwG/Ao8EDwZfCS8MLw8PEW8SvxMfEy8TnxSfFb8XbxsPIg8rLzLPNV8yLywfJx8lPyYPJ/8qLyx/Lt8w/zK/NC81vzfPOj88nz5vP29AP0HfRP9JD0zPT39RL1KPU+9VH1aPWW9eH2NvZ09of2gvaB9ov2j/aF9oL2r/cO93T3pfeJ9zn25vau9pn2qPbV9w/3N/cx9v32tvZ19j72A/W69Wv1I/Tq9Ln0iPRc9D30K/Qg9Bf0EfQV9Cf0RPRn9JH0yPUP9Vn1lPWu9aP1gPVY9Tv1L/Uy9Tv1RfVO9Vf1YfVp9W71bvVs9Wv1avVp9WP1V/VD9S71G/UR9Qz1B/T49N30tvSO9Gz0VPRF9D70QPRK9Fn0ZvRo9F70TfRA9EP0W/SF9Lj05/UG9Q/1APTe9LP0iPRd9DH0BfPX86nze/NO8ynzDfLx8sbyhPI58gLx7/Hq8crxdvD98JHwWPBT8F/wVfAd77vvP+7A7lPuAO3A7YLtO+zy7LXsiexl7EDsH+wQ7BTsIOwm7CbsLexC7Fzsb+x+7JTstuze7P7tGe047WPtkO227dbt++4q7lruhO6w7ubvIe9L72PviO/p8I3xOPGd8ZfxT/EM8PrxEPEt8UHxVPFy8ZrxwPHe8fjyE/Is8jzyQvJF8kzyWPJo8nryjvKq8s/y/vMx817zgfOZ87DzzfP29Cj0X/SW9Mz1AfU49XD1q/Xo9ir2cfa89wr3Vvei9/D4QfiR+Nr5Hvlk+bL6CPph+rj7Eftt+8v8J/yA/Nr9OP2Y/fX+TP6j/vz/V/+xAA0AbQDUATsBngH8AlkCugMaA3UDzAQiBHoE1AUvBYoF4wY6BpAG6QdKB7QIJAiRCPcJUwmnCfIKNQpyCqgK2AsECy0LWguLC7wL6AwNDDIMWQyADKEMvQzaDP0NJQ1KDWsNjw26DecOCw4fDiwOPQ5XDnMOiA6XDqgOvw7ZDusO9Q77DwAPBQ8BDvIO3Q7RDtgO6w73DuoOwg6QDm8Oaw58DowOjQ6ADmwOUw4xDgQN0g2mDYcNcw1mDV0NXA1lDXcNjA2gDbINyA3mDhQOVA6lDwQPag/MECAQYRCWEMsRABEyEWQRpRIHEnwS1BLWEm8RyxEwEM4QoBCDEGAQNRAUEAUQChAlEFAQgBCkELIQshC1EL8QwhCtEHkQLQ/eD6gPrxAKEK4RbBIIEmESiBKnEtkTGxNZE4cTpBO1E8ET1hQJFGIU0RUyFWYVaBVDFQoUyRSPFGgUVBRBFBgT1hOQE10TQRMpEwISzBKPEk0R/BGUEKEQOg/oD6wPgA9kD1YPTw9CDyQO9g7DDpMOYQ4hDckNYAz1DJcMTAwQC94LtAuTC3kLZAtQCz8LNAstCy0LOgtXC4ALrQvXDAIMNQxxDKsM1wzsDOoM1wy6DKEMmwyuDM0M5wzxDPIM8QzrDNUMqwx3DEIMEwvmC70LnQuCC2MLNgsBCtUKvQq1Cq4KowqYCpAKiAp+CnkKiQq2CvkLQQuBC7gL6wwaDD4MUQxJDCAL0QtjCuIKWgnOCTUIiAfKBw8GawXmBXMFAgSKBBgDwAOQA4IDigObA6sDtQO0A6sDpwO2A9kEBwQ1BGsEswUMBWYFsQXxBjQGegasBrMGkQZkBkoGSAZRBlYGVgZPBj0GKwY9BpoHQQfxCF8IdAhkCHQItQj0CPYItQhdCBsH9QfSB6QHdQdRBzMHCAbGBngGKwXfBYkFIgSvBDsDyQNXAuMCbgH6AYQBDACTAB7/rf88/sr+Wv3t/YP9H/zM/Jn8jvye/LP8uvyt/I/8Z/xC/C78Ovxv/NH9Xf4R/t//rABSALYAzwCqAGQAHP/m/8j/u/+5/7//yv/H/5//SP7d/on+Zv5l/lz+Mv3t/aL9V/0M/MD8gPxU/C77/Pu5+3r7U/tI+0b7P/s2+y/7IPry+pf6GvmX+Sr41viV+Fz4KvgB99/3vved94H3cvdr91j3J/bd9pn2e/aH9qP2s/av9qT2ovaq9q32oPaA9k/2FfXX9ZX1SvTp9GrzyvMG8hzxEvAJ7zTutu6F7njua+5e7l7ua+5x7mHuR+457jfuMe4f7g7uC+4Y7i3uXe7F73LwP/EF8cjyu/P79U/2TPay9qf2ivaX9sD20va79pb2fPZs9lP2KPX49cv1nPVb9Qz0wPSJ9Gr0WfRJ9DT0GfP88+LzzfO/86/zmvOA82nzV/NF8yzzCvLn8svyufKp8o7yYfIl8efxtvGX8YbxffF88YDxhfGE8XrxavFc8VTxTvFK8UfxRfE+8SrxC/Dt8Nzw2vDa8M/wt/CZ8H3wZ/BW8E3wTvBg8IPwt/D28TbxbvGb8cLx5/IN8jHyUvJy8pPytvLX8vTzCfMS8w/zCPMF8w3zHvM181TzfPOh86LzXvLV8ivxj/Eb8MnwjfBt8HjwsPEE8VjxovHn8izybfKj8tDzAPM+84vz3vQp9Gb0m/TS9Rb1YPWl9dv2BfYw9mT2nPbW9xf3a/fU+EP4ovjt+TH5e/nO+iH6c/rG+yL7hfvp/E/8uv0t/aD+DP5v/s3/KP+A/9QAJwB+ANYBKQF4Ac8CNQKkAwoDWQOXA9QEHgR1BNIFLQWFBdgGJgZtBrAG9Ac7B4QHzggYCF4IoQjhCR8JYQmlCekKKgpoCqcK7gs7C4YLwgvpDAMMGww8DGEMfwyTDKMMrgydDFUL1AtOCw4LPgvIDGcM5A0yDV0NbQ1dDS4M9wzRDMQMyAzXDPcNMQ15Db8N+A4rDlwOig6zDuUPLQ+LD+sQPBB8EK0QuBB9D/UPPQ5kDUMLmwl0B1kGEwYTBxsIegmYCkcKrQryCxkLGgsBCugK1gq7CokKSwoVCe4JxgmICTAI1AiQCHEIaAhQCA8Hpwc7Bu0GxwaxBpAGXwYpBfoFzgWcBWcFOAUXBPwE3gS3BIwEYQQ3BAwD4gO8A5UDagM9AxUC8wLTAq4ChgJnAlkCVQJTAksCPwIwAhcB6wGsAWIBFgDPAI4AVQAj//T/wv+L/1L/Gv7i/qn+cP49/hX99P3V/bP9kP1u/U/9Nf0f/Q/9APzt/NP8uPyk/J78oPyi/J/8mPyS/Iv8gvx7/H38i/yb/Jz8jfx7/HP8bfxW/C38GvxP/Nj9hf4I/jP+C/2z/Uj82vx7/ET8Qfxi/IL8ifx6/Gj8XfxV/E/8TPxQ/Fb8WPxV/FP8V/xg/Gb8avxv/Hb8efxy/GH8UPxD/Dz8Ovw8/EH8Qfw5/C/8MPw9/ET8MPwF++D74/wN/D78Ufw+/Bn7+/vu++v77Pvx+/r8A/wD+/j76/vk++X75/vm++H73Pvb+9z73Pva+9f70/vQ+8z7yvvI+8r7zvvS+9X71PvT+9b74Pvt+/b7+vv7/AH8C/wW/B78Ivwk/CT8HvwQ+/375/vT+777qvuW+4T7dPtm+1n7TvtC+zH7GvsA+ur62frJ+rf6ovqN+nz6bvpi+lb6TPpH+kf6SvpO+lP6VfpT+k36Rvo/+jf6KvoW+f355fnP+br5ofmF+Wj5Tfk0+Rf48vjH+Jr4cPhK+CX3/vfX97D3jPdp90j3KfcL9u72z/aw9pL2ePZe9kP2I/YD9eX1y/W09Z/1jPV89Wz1XPVK9Tn1JvUP9PH00fS09Jn0fvRi9Eb0LPQS8/bz2fO/86vzmvOG82vzUfM68yPzBvLj8sDyofKF8mbyQ/Ih8gHx4fHA8aHxiPFx8VnxP/Et8SjxJfET8O/wxvCq8J/wnPCV8IbwdfBl8FPwQfAv8CHwGPAR8BDwFfAX8A/v/e/q797v2e/R78Tvu++778HvxO/C78Lvye/S79Pvy+/F78jv0u/a797v5O/v7/7wC/AX8CXwOvBZ8IPwtvDn8QnxFfEU8RfxIvEv8T7xZfHA8k/y5PM/80Hy/PKk8mXyUPJd8nvyoPLE8ufzCfMs81DzdPOZ87zz2fPq8/X0C/Q79H/0wfTw9Qv1HvUv9T71UfV49br2B/ZB9lT2UvZU9mT2cPZs9mr2ivbU9yr3XPdW9yT24faf9mv2V/Z09rX28vcA9tb2kPZO9hn14/Wj9V/1KPUE9Or0z/Sw9JP0evRi9Ev0O/Q79Ez0Y/R79Jj0xPUF9U/1ivWl9Z71g/Vj9Uv1QPVB9Ur1VvVi9Wv1c/V89YT1ifWI9YD1cvVh9VH1RPU59S/1JfUd9Rj1E/UI9PD0zvSq9Iz0ePRr9Gf0avR49Iv0mvSc9JH0gfR69In0rvTf9Q71L/U79S/1D/Tj9LP0iPRh9Dr0EPPi87DzgPNT8y7zEPLw8sHyf/I58gbx8fHk8bvxY/Dz8JfwbfBo8GHwOu/u74/vLu7W7ofuPe3z7aHtSOz07LDsfexQ7CfsB+v97AXsD+wR7BHsG+w07E3sWuxh7HLsk+y77Nzs9+0Y7UPtcO2X7bnt4u4Q7j3uZe6T7s7vB+8q70DvgfAk8Rnx//Jk8ibxjfEH8Nfw7vEW8THxRPFg8Ybxq/HJ8eHx+fIP8h3yI/Ik8ibyLPI18kPyV/Jv8o7ysvLb8wXzK/NN823zkfO/8/T0LvRn9J701fUN9Uj1hfXC9gL2RfaN9tb3Hfdi96r39/hD+Iv40fkf+Xn52vo5+pH65vs/+537+vxS/Kn9Bf1j/b7+FP5r/sT/IP97/9gAPAClAQ4BbgHJAiUChgLpA0cDnwP2BFAErQUJBWEFuAYQBmsGzQc3B6cIFwh+CNkJKgl1CbkJ8woiCksKcwqgCtELBgs5C2gLkwu9C+gMEww6DFoMdgyTDLcM2wz6DRYNNw1hDY0Nrw3BDcwN3g36DhkOMw5IDmAOfQ6WDqUOqA6nDqcOpQ6XDn4Oaw51DqcO7Q8dDxMOzA5rDh8OAw4ODiQOLQ4lDhAN8w3ODaMNeQ1XDUENMg0oDSUNLQ1ADVgNbw2GDZ4Nuw3fDgoOQg6KDuIPQQ+YD9wQDBAyEFkQfxChEMUQ/xFbEcgSFBIKEaURFBCbEFwQTBBFEDIQGhAKEAkQGBAzEFkQgBCaEKEQohCwEM8Q6RDlELQQaBAiEAsQPRC3EVwR+RJpEqUSxBLmExQTQBNdE2oTbxN2E4sTvhQdFKMVLBWNFawVkRVZFRsU3hSkFG8UPhQJE8kTgxNMEywTGRL6EsESdhInEdYRfBEREEAP7w+vD30PVg88Dy0PJA8QDusOtQ57DkQODQ3KDXINCgyiDEoMBwvTC6ULewtZC0ILMwslCxgLEAsPCxgLLAtKC24LlAu5C+MMGAxVDI4MuQzPDNMMxgytDJMMhgyQDKoMxwzdDO0M+gz8DOcMuAx9DEcMHAv4C9YLtQuWC3ALPQsECtIKtAqnCqAKlQqICnwKcgprCm4KhAqxCvELOwuIC9EMCwwtDC4MEAvbC5YLRArmCoUKJQnJCWcI8whtB+UHawcBBpYGGwWPBQgEnARPBBwD+QPsA/QEBQQLA/8D8QP6BCAEVwSSBNIFIgWEBecGPgaIBskG/wcWBwEGzQaVBnIGZgZoBm8GdQZvBlcGPQZPBrAHVQf6CFkIZghRCFQIdQiNCHkIQAgFB+EHyAeiB24HPwckBxAG6AajBk8F/wW2BWYFAgSOBBcDpAM0AsECTQHaAWkA9gCCAA7/mf8n/rb+R/3X/Wb8+Pyd/GP8TPxH/Dz8HPvq+7L7e/tL+yr7I/tD+5T8GvzT/bP+mv9h/+gAIgAe//z/1/+8/6P/h/9r/2P/eP+W/5X/Xf8D/rP+jP5//mf+MP3p/aj9cP0z/On8n/xl/Dj8BfvF+4L7UPs5+zT7OPs/+0D7LPr1+pr6LPnA+V75BPiv+GT4Kff899X3qvd891b3Qfc09xr25vag9mj2XfZ/9q72xva59pX2c/Zh9l72XPZQ9jT2CvXU9ZL1OPS+9CPzcPKn8b7wuu+87wHuru6x7s7u2O7O7sju0e7W7sjur+6d7pLuge5k7kfuMu4X7ezty+3u7m/vMO/98NDx2PMy9KD1rPYR9f/16fYY9nP2t/bD9qr2jvZx9kX2CvXS9az1jfVd9Rj01fSs9KD0nfSN9Gz0Q/Qf9AXz8/Pk89Pzv/Op85bzhPNu81DzKvMG8uvy3PLL8qfya/Ig8dnxpfGG8XTxbPFv8X7xkfGZ8ZLxg/F48XLxbPFf8U7xQPE18SbxEfD88PXw+/EC8Pzw5/DJ8K/wmvCI8Hnwc/B+8KDw1vEV8U3xePGb8cPx+PIx8mHyf/KS8qbyw/Lo8w3zKfM28zXzLfMs8zjzS/Ng83XzkfOp85zzSPKn8ePxNPC68G/wPvAk8C3wX/Cs8PzxR/GT8ebyO/KJ8tTzJ/OL8/j0WPSe9M309/Uu9XT1wfYC9i/2S/Zj9oH2qPba9xn3bPfS+Dz4nvjx+T75j/nn+kL6ofsD+2X7wvwa/HT82f1I/bf+Hv5+/t3/Pf+Z/+4AQQCWAOoBOgGJAeQCTgLAAyQDcQOuA+sENASGBNwFMgWJBd8GMAZ4BrcG+Ac+B4gH0ggYCFwIoQjnCSwJbgmwCfIKNAp1CrcK/AtFC4oLvQvZC+gL/AwhDE4MdQyPDJ8MnQxuC/sLUgq4CnwKvwtbDAgMkgzvDSUNNA0ZDOEMsgyqDMYM7g0WDUQNgw3KDgcONA5cDokOtQ7cDwcPSg+oEAkQVBCDEJ0QkxBID7QO8w4dDRMLjwmIB3oGLQYgByAIgAmeCksKrwr2Cx8LIgsKCvQK6grXCqcKYQohCfYJ0wmfCVAI9girCIAIbQhUCB0HyAdrByIG8wbNBqAGbAY+BhoF8wW9BXoFQAUaBQQE7gTPBKsEiQRnBEIEGAPtA8IDlgNpA0ADGwL4AtUCsgKYAokCggJ7AnECYgJMAikB9wG5AXQBLgDoAKUAbAA7AA//3/+q/3T/QP8M/tX+nP5o/j7+Hv4B/eH9wP2d/Xz9X/1H/TT9I/0N/PH80/y8/LL8sPyw/Kv8pPyd/JX8jPyF/In8nvy3/MP8uPyl/Jf8jPxy/EH8GPwo/Iv9Kv3I/jL+Uf4l/br9J/ya/EP8NvxY/Hz8hPx1/Gb8X/xc/Fb8U/xZ/GT8a/xq/Gb8aPxx/Hr8f/yB/IH8fvx2/Gn8WvxM/EL8QPxK/Fn8YPxW/ET8PfxL/GD8ZPxM/Cj8D/wO/Bz8Kvwz/Dj8Ovwz/CD8DPwF/BH8I/wt/Cb8GPwP/A/8EfwO/Af8APv9+/37//v++/r79Pvu++r76Pvo++f76Pvr++/78/v2+/n7/vwF/A38EvwX/B78KPww/Db8O/xF/FD8VvxP/Dv8H/wD++z72fvI+7j7qPuZ+4z7f/tw+1z7Qfsi+wf68vrh+s/6ufqj+pH6g/p4+m/6Z/ph+mD6Yfpk+mn6bfpu+mv6Zvpg+lj6Tfo9+ij6EPn3+d35wvml+Yn5b/lV+Tn5F/jw+Mb4m/hx+Ej4Iff799f3tveV93X3VPcw9wv25fbD9qf2kPZ59l/2QfYh9gX17fXW9cD1qfWU9X/1avVV9UH1LPUU9Pn03PS/9KT0ivRv9FX0PfQk9Arz7/PZ88nzufOl84rzbvNS8zTzE/Lv8s/ytPKY8nfyUfIu8g7x7/HQ8bPxnPGJ8XDxU/E58SvxIvEQ8PDwyfCq8JfwivB+8HHwZ/Bf8FTwRfA38CvwI/Ad8B3wIPAf8BLv/O/p7+Dv3O/S78Dvs++178Hvx+/E77/vwe/I78nvv++077Dvte+778Pv0O/j7/jwBvAM8A/wFfAk8ETwc/Cq8Nbw7vD18PvxB/ET8R/xOvGB8gHynfMd81PzNfLj8ozyU/JE8lXydPKV8rjy4fMP8zvzYPOB86PzxPPd8+70BPQw9HD0sPTe9Pn1DvUm9T/1WPV59av15PYQ9iH2JPYu9kP2VfZX9lj2cvaq9uz3F/cb9v72xvZ59ib18fX69kD2lvbC9qz2a/Yn9fX10fWu9Yr1bfVa9Ur1NfUb9P704fTE9Kf0lfST9Jz0pfSr9Lf02fUV9Vr1jvWh9Zj1gfVp9Vb1S/VJ9VP1YvVx9Xr1ffWA9Yj1kvWY9ZT1gvVn9U71QPU+9UL1RfVC9Tz1NPUm9Q/08vTV9L70rfSi9J30oPSt9L70zPTR9M70zPTT9Or1DfUx9Uv1VPVL9TT1EvTr9ML0nPR49FL0JfPw87fzgvNU8y/zD/Lt8sDyhPJD8g3x6fHJ8ZXxRfDw8LfwofCX8HHwI+/A72bvJe717sTuhO4w7crtXuz87K/sd+xJ7CDsAevz6/Xr++v86//sDewn7D7sR+xL7FrseOyd7L3s2uz+7SvtWO1+7aHty+367iXuS+537q/u5e8G7yPvefA58UjyM/KF8ijxcfDe8K7wy/D68RnxLPFH8WvxjvGq8cHx1/Hq8fTx9fH08fTx+vIE8hTyKvJC8lvyc/KQ8rHy1fL78yTzUPOF88Dz/fQ49HD0p/Tf9Rz1W/Wa9dn2GfZd9qL25/cq93D3uvgF+Ez4lPjk+UT5qvoL+mL6tPsN+2z7yvwi/Hn80/0w/Yv94v44/pL+7/9L/6gACgBxANcBNgGRAe4CUQK3AxcDcQPMBCkEhwTjBTkFjwXoBkgGrwccB4sH9QhUCKYI8Qk2CXQJpQnMCe4KFgpICoAKuArpCxULPgtoC5ULwAvnDAgMKAxLDHEMkwyvDMgM5g0MDTINTg1fDWwNfw2bDbsN2Q33DhUOMg5FDkwOTA5RDlkOWg5JDisOHA44DoYO5Q8eDwgOow4fDbQNhg2ODawNwg3CDbANkQ1qDUQNIw0ODQAM9gzxDPYNCA0jDT4NVQ1sDYsNsQ3ZDgEOLQ5nDrQPCQ9YD5EPtQ/ND+EP9BACEBAQLhBnEK4Q3xDZEJoQRhAJD/UP+hACEAAP/BABEBAQJRBAEGIQgxCXEJsQmxCsENYRAxEREO0QqhB0EHkQyRFTEekSXxKmEsoS6RMPEzMTQxM9EzMTOhNgE6gUEhSZFSkVnBXQFbwVexUuFOsUrhRwFCwT4xOWE0oTCxLmEtoS0BKtEmcSCxGvEVYQ/RCeEAwPyg+TD2MPOQ8YDwEO7w7ZDrYOhA5GDgMNuw1rDRAMrAxMC/wLwAuRC2YLPAsbCwkK/wr3CuwK5QrpCvsLFws4C1gLdguWC7sL6wwjDFoMhgykDLYMvAy2DKcMmQyWDKAMsAzCDNUM5gzpDNIMogxpDDgMEwv0C9MLsQuOC2YLNQr+Cs0KrQqfCpcKjgqACm8KYgpeCmoKiAq1CuwLKQtoC6UL0wvkC88LmQtRCwQKuQpwCioJ6QmqCWkJHgjICHAIIgfaB4gHHwakBioFwwVqBRMEwQSGBG8EbgRlBEkEKgQpBFEElATdBSoFgQXlBksGpwb2BzYHYAdkB0IHCwbWBq4GlgaLBo0GlgaWBoEGbQaCBt8HbAfuCDQIPAguCCwILwgfB/EHugeWB4kHfAdcBy4HCAb1BuQGvAZ1BiEF1AWQBUQE4wRvA/gDhwMaAqsCOAHFAVcA7QCCABH/nP8n/rf+TP3h/XH8/vyY/E78IfwB+9T7kvtC+vj6vvqX+n/6ePqK+sH7KfvL/KP9lP5z/xb/bv+K/4//lf+e/5f/c/9A/yH/Lf9W/3H/X/8n/ur+vf6S/lP+Af27/Zr9kv14/TL8y/xk/BT72fum+3T7Sfsq+x/7J/s6+0T7Lvru+pD6LPnQ+Xb5Gfi5+Gb4Kff999H3nPdm9zv3JPcW9vz2y/aP9mT2YPaA9qb2svaZ9mn2PfYm9iX2K/Yp9hb18/XA9Xj1D/SC89vzK/Jw8ZTwj++G7r/ubu6F7sLu7O767wPvFe8k7yPvFe8G7vPu0u6o7oLuZO437eftj+1s7afuMO7h77PwyvIw8530nvT+9P31EPVy9f72ZfaH9oP2ffZ29lf2HfXf9bP1kvVj9SL05vTJ9Mz01fTM9Kv0f/RZ9Dz0JvQT9APz9/Ps897zx/Op84LzVfMn8v/y3fK98pPyV/IQ8c7xnfGA8W/xafFz8Yvxp/G18bDxofGV8ZDxifF48WLxTvFB8TPxIvET8Q3xEPET8Qvw+vDo8Nzw1PDI8LbwpPCf8Lbw6vEt8WvxlvG18dvyEvJT8oryqvK58sXy2PL08xTzNfNR82PzavNt83XzgvOS86TzufPC853zJ/Jg8XvwufBA8ATv5+/a7+fwFPBY8J/w4vEt8Yfx7PJT8r/zO/PM9Fz00vUf9VD1gPW/9gv2VfaP9rD2vPa/9sL20fb29zT3iPfo+Er4pvj9+VL5qPoE+mr62/tR+778GPxk/LH9Cv1t/dD+LP6I/un/Tf+sAAMAVgCpAP0BTgGgAfsCYwLOAy8DgQPJBBEEXgSqBPUFQQWVBe0GQQaKBscHBQdKB5UH3ggjCGcIrwj7CUQJhwnECgQKRwqLCs4LEQtUC40LsAu9C8QL2wwKDEEMbAyGDI8Mfgw0C58K3Ao+ChUKcwsfC8kMQQyIDLAMvwyzDJsMlQy2DPQNNQ1sDaIN4g4hDlAObw6MDrEO1g70DxYPVA+yEBMQWhCDEJgQjRA+D50Oyg3tDPMLlgm4B7wGYgY6ByYIfgmcCkgKqQrwCyMLMgsjCw8LAwrtCroKcQosCfwJ2QmpCWIJDwjHCJcIfQhnCEIIBge5B2wHJAbgBqIGcQZVBkYGLAXzBaMFWAUkBQgE8QTXBLsEowSKBGkEPQQOA+EDuAOOA2MDOgMUAvQC2wLHArYCpgKXAogCdgJcAjUCAAHEAYcBRwEEAMEAhgBVACn/+v/G/5L/Yv80/wP+z/6e/nT+Uf4w/g797P3N/bH9l/1//Wf9Tv0x/Q/87vzV/Mj8xPzA/Lj8rvyl/J/8nPyc/KP8tfzK/NT8y/y2/KL8j/x1/E38Jvwg/FH8tf0y/ab98v38/bb9Nfyu/Fv8UPxt/IT8gPxu/GT8Zvxn/GH8Xfxl/HP8e/x4/HP8dPx8/IT8hvyC/H78efx1/G/8Zvxa/E38SPxS/Gf8ePx5/Gz8Yvxn/Hb8gPx3/F38PPwh/BX8Hfw8/Gj8ifyL/Gz8Qvwp/Cz8P/xO/E78Rfw//D78Pfw3/C78Jvwi/CL8Ivwh/B78GvwW/BT8FPwS/A38B/wF/Az8F/wf/CL8IPwd/B78Ifwo/DP8P/xH/Er8TfxY/Gv8ffyD/Hb8Wvw7/B78CPv1++T71fvG+7b7pvuU+337YvtF+yn7Efr8+uj60vq8+qj6mPqN+oX6f/p9+nv6e/p7+nz6fvqB+oL6gvp++nf6bPpe+k36OPof+gL55PnG+ar5j/l0+Vb5N/kU+O74w/iX+Gz4RPgg9/733/fC96T3hPdf9zT3CPbi9sb2sPab9oL2Y/ZD9iX2CvXw9dX1ufWb9X/1ZPVM9Tb1I/UP9Pv05fTP9Ln0o/SN9Hf0YfRK9DD0FvP+8+rz1/O/86HzgfNe8zrzFfLy8tbyvvKj8oDyW/I58h7yBfHp8c7xuPGm8Y/xcfFT8TzxKvEU8PXw0vC08Jzwh/B18GfwYPBc8FTwSPA88DLwKfAg8BrwF/AS8APv7+/g793v3O/R773vre+t77nvwO+977bvs++177Tvre+m76bvq++x77jvxe/a7+/v/O//7/3v/PAB8BLwM/Bj8JbwvvDZ8O3w/vEK8RLxI/FW8b7yT/Lg80DzTvMR8rDyXPIz8jXyTfJp8ojysfLk8xfzP/Nh84bzsPPU8+70B/Qw9Gr0pvTR9Or1AfUf9UP1Z/WJ9a310fXt9fv2BfYX9jD2Q/ZJ9k72Y/aO9r/23/bo9tb2qPZY9fb1q/Wl9ev2UfaY9pn2ZPYi9fT13/XY9dL1yPW89ar1k/V49Vz1QPUk9Qv0+vTz9O303/TO9Mz07PUs9XL1nvWl9Y/1cvVa9Un1P/U+9Un1XfVu9Xf1ePV49X71jPWZ9Zv1jvV19Vz1T/VS9V31ZvVo9WT1XPVP9Tr1IPUF9O702vTK9MD0wPTK9Nn06fT39QT1FfUp9T/1U/Vf9V/1U/U/9Sr1FPT79N70vvSa9HD0PPP+87/zh/NY8zHzD/Lr8sDyifJL8hHx4fGz8XvxOfD+8N3w0PC38HHwBe+V70rvK+8g7wnu1O597gvtje0X7LrseexK7CLsAevs6+Xr5+vq6/Dr/+wU7CXsK+ww7D/sW+x77Jnsuuzk7RjtR+1s7Y7tuO3n7hLuNu5d7pDuxO7o7wvvW+/+8Nnxj/HH8Xfw7/CP8IHwqPDU8PDxBfEi8UbxZ/GB8ZjxrPG68b7xu/G48bzxxvHW8ezyBfIc8jDyQfJV8nDykvK58uTzFfNO84zzzfQL9EP0efSx9O31LfVt9av16fYq9m/2tfb690L3jffY+CH4aPi3+RT5d/nW+iz6gfrd+0D7ofv7/FH8qv0G/V/9tP4J/mT+wv8g/3v/2QA7AJ4A/gFcAbsCIAKGAugDRQOgA/0EWwS1BQ0FZwXGBioGkgb7B2IHwwgaCGYIrAjsCSMJUQl2CZwJygoACjoKbwqdCsUK6wsTCzwLZAuJC64L1Av9DCUMSAxkDH0Mmgy7DNsM9Q0IDRkNLg1GDWANfA2bDbsN1w3mDesN7w34DgIOAg3xDd4N4w4UDmkOuQ7TDpwOJA2YDS0NAA0MDTANTw1XDUkNKw0IDOkM1AzJDMMMvwzADM4M6A0HDSQNPA1XDXoNpA3MDfAOFQ5GDocO0g8VD0QPXg9sD3cPgg+MD5MPnA+wD8oP3Q/dD8sPtw+vD7cPww/KD9AP3Q/4EB0QRhBvEJcQtxDEEL0QrxC0ENgRDREwESkRAxDkEPkRTxHNEkcSmhLFEt4S/RMkE0ITSBM9EzsTXhOxFCsUuRVDFa0V3BXCFW8VCBStFGgUMhP6E7kTbxMfEtISlxJ5EnISZxI+EfIRlhE+EO8QpRBXD/UPtQ97D0YPFA7oDsUOqw6WDn0OUw4UDcENZA0GDKoMTwv6C7MLfgtUCywLBgrpCtwK2QrVCssKwwrHCtoK9wsXCzQLTwtqC4kLsAvgDBMMQwxtDJAMrQy+DMAMuAytDKUMoAyiDKgMrwyrDJQMbQxCDB8MAQviC7sLkwttC0gLHwrzCswKsgqlCqAKmQqMCnkKaAphCm0Kiwq1CuILDQs2C1wLdgt7C2QLMwrxCqsKagovCfcJvQmBCUQJBgjJCJEIZAg8CAsHxwd0ByMG3gaXBj4F2AV+BUMFHgT2BL4EiAR1BI8EyAUMBVcFrAYMBmsGwQcLB0UHaAdpB08HKQcFBuMGwwauBqoGswazBqMGmAa1BwQHage3B9kH4QfoB/MH7gfFB4MHSAcrBycHJQcTBvcG3QbKBrMGhQZBBfMFqwVpBR8EvwRNA9gDagMDApgCJgGzAUkA5wCHAB7/qv8y/r7+Uv3o/Xr9BvyX/Dv79fu5+3L7Gfq3+mT6LfoW+hf6JPo3+lf6lvsM+8n8uv2t/mz+2v8I/yD/QP9l/3X/Xf8r/wL+//8b/zn/Pf8p/wr+4/6h/j390P2N/Yz9sf28/Xz89/xa+9j7hftY+z77KPsR+wT7Cvsf+yv7FfrV+nn6GvnD+Wv5C/it+GL4LfgD99L3l/dg9zz3KvcZ9vn2xfaP9mv2ZfZz9oH2efZa9jL2F/YT9iD2K/Ym9g715fWt9V305/RQ867zFPJ18azwo+9+7o7uGO4b7lvum+7G7urvD+8w70TvS+9L7z3vFu7c7qTudu4+7ejtgO007S7tb+3p7qbvu/Eb8nTzZPPQ9AH0XvUF9bz2N/Zk9m/2hPaf9qD2evY+9gX10/WX9VD1EPTr9OT05vTc9ML0ovSF9Gv0UvQ99DP0MvQw9CL0BfPh87vzkPNb8x7y5PKy8ofyWvIm8fDxxPGl8ZTxkPGc8bXx0PHe8djxxvGz8aPxlfGG8XjxbvFn8V3xTPE78S7xJPEZ8Qvw+/Dy8PPw9/D28Onw1fDF8M3w+fFA8Y3xxvHq8gjyMPJl8pnywvLe8vHzAPMN8x/zPvNp85Tzr/O487rzwvPS8+Xz8PPf85Xy9vIN8RHwR+/T76bvm++c76/v3fAc8FnwlPDa8TjxqfIh8p/zMfPW9Hv1AvVf9aP15/Y59o722PcL9yf3Lfcg9wz3Bfce91z3s/gR+Gz4wvkZ+XH5yvon+pP7E/ua/BT8cfy3/Pr9Rf2Y/er+O/6R/vP/WP+3AAwAXQCyAQkBXwG0Ag4CbgLRAzEDjQPmBD4EkQTbBR4FZAWxBgYGWAagBt4HGgdcB6MH6gguCHUIwQkQCVsJnQnaChoKYAqnCuwLLQtoC5QLpwuoC7AL0wwODEgMawx3DHQMVgv9C1oKkwoBCe0KWwsHC50L9gweDDQMSQxgDH0Mrgz1DUUNig2/DfEOJw5aDnwOkw6tDtAO8g8IDyIPWg+0EBMQWRCEEKAQnxBXD7IO0Q3tDQMLzAoVCCUGtgZmBzIIfwmeCkkKpgrtCyoLSgtFCy8LFQrzCrsKcwoxCgIJ2gmnCWMJGAjWCKYIhQhuCFUILgfwB58HQgbpBqEGeAZvBnMGYwYrBdMFegU4BREE9gTfBMkEtQScBHgESQQYA/ADzwOuA4YDWwM0AxgDBQLzAt4CwQKkAosCdgJdAjgCCAHRAZkBYAEiAOMAqAB1AEUAFP/g/63/gf9X/yz+//7U/qz+hv5f/jn+Fv38/ej91v2//aL9fv1W/S79C/zy/OT83fzW/Mz8vfyx/Kz8sPy4/MP8zvzW/Nj8zvy7/KT8jvx4/GL8UPxH/E78avyf/Ov9Of1k/U79Avyt/ID8gvyU/JX8gvx1/H38jvyT/In8fvx+/If8ivyE/Hz8e/yB/IT8gfx6/HX8dPx4/Hz8evxw/GH8Wfxg/HT8ivyU/JL8jPyJ/Iv8jPyH/Hn8YvxE/Cz8K/xM/IP8sPy5/Jv8bfxP/Ez8Wvxo/G38bPxr/Gr8Zvxe/FT8TvxL/En8SPxI/Ej8SPxI/Ef8R/xD/Dv8MPwq/C/8PPxI/Ez8Rvw+/Dn8OPw+/Er8V/xg/GL8Yvxn/Hb8jPyb/Jr8ivxv/FL8N/wf/Ar7+Pvo+9j7xfuv+5j7f/tm+0z7MfsX+v/66frU+sD6r/qj+pv6mPqW+pX6lPqS+pH6kfqT+pb6mPqW+o76gvpz+mP6Ufo7+iH6A/nm+cv5sPmT+XP5VPk0+RL46vi++JP4a/hH+Cb4Bvfr99H3tveT92n3O/cQ9uz2z/az9pb2dfZS9jD2EfX09dj1ufWa9Xz1YfVK9Tb1JfUW9Qj0+fTp9Nj0x/S29KP0jPRz9Fj0OvQe9APz6fPN867zi/Nl8z/zGvL68uHyyfKs8oryaPJN8jjyI/IK8e7x1fHA8anxjvFw8VTxOfEc8Pzw3vDD8K3wlvCA8G/wZvBf8FXwSfA98DLwJ/AZ8AvwAu/67+7v4O/W79Tv1O/K77jvqe+l76zvse+u76nvpe+i753vmO+Z76Pvru+077fvve/J79jv4+/q7+3v8O/y7/jwCfAr8Fvwj/C98N/w9PD+8QHxCfEr8Xnx9fKI8wbzQfMl8svyZ/Ip8hzyLvJF8l3ygPKy8unzGvND827znvPM8+/0DPQz9Gj0ofTN9On1APUf9UX1bvWT9bL1y/Xb9eb18/YJ9iP2NvY99kT2V/Z59p72uPbE9sD2ofZg9gX1tvWi9dj2N/aG9pr2dvY+9hT2BfYI9gz2CfX+9ev11fW+9af1kPV69WX1U/VA9ST0/PTV9Mv07/U59YX1rfWm9YD1WPU79Sr1IPUe9Sb1NvVI9VX1XfVl9XD1ffWJ9Y31hfVz9WL1W/Vg9Wn1cPVx9XD1bvVp9Vr1QvUm9Qn07PTT9MP0v/TJ9Nv08fUJ9SX1QvVY9WT1ZfVc9Uv1N/Uk9Rj1EvUK9Pr03vS39If0TfQN887zmPNt80fzIfL48sjykPJT8hzx7fHB8Y3xUPEY8PTw2PCo8E7v1+9x7z3vOu9G70DvF+7J7lvt1+1P7NzsiexS7CjsA+vo69rr2Ovc6+Tr7+v97AbsC+wS7CLsPOxY7HTsluzE7PztL+1X7Xztpu3W7gHuI+5F7nLuo+7N7vPvLu+U8BfwgfCk8IPwUfBA8FnwhPCl8Lrw0/D08RjxNfFN8WTxePGE8YXxgPF/8YfxlvGq8cLx3PH08gbyF/It8krybfKS8rvy6fMg817znfPb9BX0S/SC9L30/fU+9X31uvX69j/2h/bO9xb3YPer9/X4PviN+Of5Rvmj+fz6Vfq2+xv7fPvW/Cz8hPze/TT9iP3e/jr+mv75/1X/sAAQAHEA0QExAZEB9AJYAroDGQN2A9EEKQSCBN4FQAWoBhAGdgbZBzcHkAfgCCcIZgieCNAI+wklCVMJhwm+CfUKJgpQCnYKmwrACuULCgsvC1ULgAusC9QL9gwSDC4MTAxqDIcMoAy3DM4M5Qz6DQ0NIQ06DVcNcQ2FDZINmw2gDZsNjg2FDZYNzA4eDmgOgg5bDfkNfQ0JDLwMnwysDMwM6AzvDOEMxgyrDJcMjAyGDIQMhwySDKcMxAzmDQYNJg1HDWwNkg22DdgN/Q4rDmEOmg7LDu0PAg8QDyAPNA9JD1gPXw9fD1wPWw9eD2cPdw+LD58Prg+5D8gP4hAPEEoQixDHEPQRCxEIEPAQ0hDEENYRBhE6EVgRXBFbEXcRvRIeEnwSvxLlEwATHxNFE2gTgxOZE7kT8hROFMUVQxWoFdcVvxVoFO4UdxQbE9sTrhOFE1UTGRLREoQSRBIeEgwR9hHHEYARMRDsELIQeBA5D9YPkQ9SDxYO3Q6oDnkOVw5BDi4OCw3KDWwNAQydDEYL+AuvC3ALQQscCvoK2QrCCroKvAq7CrMKqgqsCrwK1AruCwgLIgs6C1ILbguTC8EL8wwlDFUMgQyjDLYMuQywDJ8MjAx8DHEMaAxcDEgMMAwZDAYL8AvPC6QLdgtNCywLDgryCtoKyQq/CrsKtwquCp4Kigp6CngKhQqfCsAK3wr5CwsLEwsQCv4K2gqlCmgKLQn5CcYJjAlKCQkIzwigCHwIZQhUCD4IGwfuB8UHpQeBB0YG8AaVBkgGBwXCBXIFKgT/BPkFDgUzBWkFsQYCBk8GkAbHBvQHEQcYBxEHBgb4BuMGyAa2BrUGvAa4BqgGpgbKBw0HSAdiB2cHeQejB8wHzQeaB0wHCAbkBtkG2AbRBsIGqwaQBm0GQAYFBcEFewU1BOgEiQQbA6kDPwLdAnkCDQGeATgA3QCGACX/tf88/sX+VP3n/Xf9BPyU/C771/uG+y/6zPpk+gz50/nD+dT59voV+ij6QfqK+yX8DP0L/d7+Xf6Z/r3+6v8d/zz/Nv8U/vL+4/7l/ur+6/7s/u3+3f6j/jz9yv2F/Yj9uf3V/aT9IPxw+8z7V/sW+vr67Prh+tv64Prx+vz66vqy+mD6Bvmq+Un45fiN+E/4Jff998b3ifdb90b3Pvcr9wD2xfaQ9nD2ZvZk9ln2QvYj9g32DfYj9kH2UPZD9h716fWn9U300fQ986zzL/Kt8fHw3++a7nzt0+2s7dXuFu5R7ofuve7s7xHvL+9I71DvOO8A7rvuee427eftj+1C7RntIO1k7f7u+/A98XPyUvLZ803z+fTg9b/2UvaQ9qX2ufbR9tj2wPaU9mH2KvXp9Z/1V/Ud9PX01vS99Kn0mvSM9Hf0X/RM9Ej0TfRN9Dv0HPP/8+rz0fOk82HzGvLh8rzynvJ38kfyF/Hz8d7x1/Hb8ejx+PIC8f3x6vHO8a/xl/GI8YXxivGN8Yjxe/Fs8V3xTPE58SXxFPEJ8QXxBfEH8QfxAPD18PPxD/FN8Z3x5PIR8inyQPJm8pnyz/MA8yTzNvM58z7zV/OI87/z4/Pt8+/z+vQR9B/0DvPN80/yjvGb8Kjv7u+L72zvbO9174zvue/08C3wY/Co8Qvxg/H/8nzzBfOj9Ej02fVJ9af2BfZr9sr3FfdH92H3Z/dX9z33LvdD94H32/g5+JL45/k/+Zn58fpL+rX7NvvD/EP8pfzv/TL9eP3A/gb+Tv6k/wb/av/GABcAZwC8ARUBbQHDAhsCdgLVAzYDmAP7BFsEswUCBUkFjwXWBiIGbQa0BvQHLwdsB60H8gg7CIYI1QkkCWwJrAnqCi4KdwrBCwULQwt3C5kLpQuoC7sL7AwsDFsMaQxiDFIMLAvOCy4KeAn9CfsKZwr+C3gLvAvaC/UMHgxZDKEM9Q1MDZsN2A4EDi0OVg55DpAOow6/DuYPCA8cDzQPaA+/EBwQYhCOEKwQshB1D9oO/Q4cDT4MHwp/CJIHBgaLBzUIegmhClMKrQruCy4LVgtXCzsLFQrnCq0KbQo0CgcJ3QmoCWcJIwjkCKwIfAhVCDYIFwfnB6AHRwbvBqsGiQaFBosGfQZHBfIFlwVRBSQFCATxBNwExQSmBHoERwQZA/oD4gPIA6QDewNXAz4DLAMZAv0C1gKsAoYCaQJPAjACBgHVAaIBbwE6AQQAzwCcAGcAMf/7/8r/n/91/0v/If76/tX+sP6K/mL+QP4m/hX+Bf3v/c/9o/10/Uf9Jv0P/QH8+Pzv/OP81PzH/ML8x/zS/Nz83/zd/Nj80vzG/LP8nfyL/IL8gfx9/HD8XfxY/HL8pfzR/Nn8v/yh/Jz8qfyv/J/8j/yZ/MD85/zt/NT8tPyi/J/8nfyU/Ir8h/yI/Ij8gvx6/Hf8fPyK/Jn8n/yX/Ib8efx6/If8lvye/KH8ovyj/KD8m/yX/JT8i/x1/Fn8S/xb/IL8p/yx/J78gPxv/HD8fPyH/I78k/yX/Jj8k/yJ/IH8ffx7/Hj8dfx0/Hf8evx6/Hj8dvxz/G38ZPxc/Fz8Zfxw/HX8c/xu/Gr8aPxo/Gz8dPx8/H/8fvx8/IH8jPyb/KP8n/yQ/Hn8XvxC/Cr8FvwG+/X74fvL+7P7nfuG+2z7T/sy+xj7Avrw+t36y/q++rb6svqv+qr6pvqj+qT6pvqn+qr6rPqq+qL6kvp/+m76XfpL+jP6GPn9+eX5zfmy+ZT5dvlZ+Tv5F/ju+MP4m/h2+FP4MfgU9/v34ffB95j3aPc59wz24/a89pn2dvZT9jD2EPX09dz1w/Wq9ZL1ffVq9Vj1SPU59Sr1G/UK9Pn06vTa9Mb0rPSO9G/0TvQu9A/z8vPW87nzmPNz80/zLvMS8vjy3vLA8qDyg/Js8lnyRfIp8gnx6vHO8bXxnfGC8WTxQ/Ef8P3w4fDM8LrwpPCN8HrwbPBg8FHwQfA08CnwHvAO7/zv7+/n7+Dv1+/P78nvw++576zvoe+e75/vnu+c75nvmO+V747viu+P753vq++y77Hvr++y77nvw+/P79zv5+/t7+/v9fAK8DHwZfCY8MHw1/Dg8OTw7vEJ8UHxpPIs8rvzHvMr8uXyffIt8g/yFfIm8jfyUfJ+8rjy8vMk81Tzh/O58+T0B/Qu9F/0lvTH9Ov1BvUf9T31YvWJ9a31x/XW9d716fX89hL2JfYw9jv2T/Zr9on2ofay9rr2s/aR9lP2EfXu9gH2PfZ79pf2h/Zg9j32LfYs9i/2LvYo9h72D/X+9ev12vXK9bn1ofV99Un1C/TY9Mv08vU/9Yn1qvWZ9Wv1PfUg9Q/1BPT59PT09/UF9Rr1NfVP9WT1bvVv9Wr1YfVW9U/1TvVU9Vj1WPVT9VH1U/VS9Un1NfUb9P303fTA9K70rfS99Nb08vUQ9Sz1Q/VO9Ur1PfUt9R71D/UE9QL1B/UK9QL06vTF9Jb0YPQn8/Hzw/Od83jzTfMa8uDyofJl8jbyE/Hw8bzxdPEo8OrwtvB08BPvpe9S7zPvPu9Q70rvKO7s7pXuIO2Y7RTsrOxl7DTsDOvu69vr1evW69vr4evp6+/r9ev97A7sJOw97Ffsduyi7NftDO067WXtk+3D7e7uEO4v7lXuge6s7tPu/+8373bvqu/H79Tv5/AL8DbwWPBw8IbwpPDH8OTw+fEN8SXxPPFJ8UvxSfFM8VbxZfF48ZDxrPHG8d7x9vIS8jXyWfJ88qDyy/L98zTzbvOp8+T0HfRV9JD00PUS9VH1jvXN9hD2WPaf9uX3K/d097/4DPhf+Ln5GPl3+dP6MPqP+vD7T/uo/AD8WPyy/Qn9Yf27/hr+ev7Z/zT/kP/vAFAArwENAWoByQIqAo0C8QNRA6oEAARXBLgFIQWOBfUGVgaxBwkHXAemB+gIIAhQCHwIpwjXCQsJQgl3CakJ1woBCicKSwpuCpIKtgrdCwYLMAtaC38Lnwu7C9gL9gwUDDAMSwxlDIAMmgyvDMEM0gzmDP4NGA0yDUkNVg1RDTcNGg0eDV0Nzg4+Dm8ORg3ZDVkM8gyvDIoMfQyCDJMMoQyeDIwMdAxgDFQMSwxEDEQMTwxlDIEMoAzBDOcNEQ05DV0NfA2aDb0N5Q4QDjoOXg5+DpkOsg7LDuYPAA8YDyoPMQ8vDykPJQ8pDzYPSw9kD4EPoQ/DD+cQERBJEJEQ3xEfEUIRRhEyERMQ9RDgEOIQ/xEvEV8RfxGXEbgR8hJDEpwS7BMoE1ETbROME7sT/BRCFH8UrxTeFRkVWRWHFYcVTRTpFHQUCxO4E38TVxM3ExMS4hKdEk8SBxHVEbMRkxFkESgQ7BC5EIsQWBAaD5cPVA8WDtoOnw5kDiwN/g3dDcMNnw1eDQAMlgw2C+kLpwtpCzILBgrmCsoKrwqcCpgKmwqcCpUKjQqPCp0KsQrJCuIK/AsTCyMLMwtLC28LnwvUDAkMOgxkDIIMkgyVDIsMeAxiDE4MPwwwDCAMEAwEC/cL4wvBC5ULaQtECygLEgsDCvkK8grrCuUK4ArbCtIKvwqlCowKfQp9Co0KpQq5CsAKugqsCpgKeQpKChAJ1gmmCXoJSAkOCNUIpwiHCHIIZghhCFsISggwCBgICwgBB+YHsAdqByEG2QaLBjYF6AWtBYcFcQVvBYcFtwXuBh0GPQZZBnMGiQaWBqAGqwaxBqwGowalBrQGvwa0Bp8GowbNBwQHHAcQBwkHMweGB80H1AeZB0AG8ga9Bp8GjwaDBnEGUgYsBgYF4wW5BX4FMwTlBJQEOgPQA2AC+AKeAkgB6wGJASoA1gCEACn/wf9R/t/+b/38/Yj9FPyk/Dz72vt7+xv6uPpV+f75v/mk+bH51vn5+gX6B/or+qD7bPxg/TX9xf4b/mD+p/7n/wn/Bv7v/tj+x/6z/pn+g/6B/pL+n/6K/kb96v2i/Yv9n/2z/Z39SPzA/CL7jfsZ+s36p/qa+p76rfrA+sn6vPqS+k759/mS+SP4t/hi+C34C/fj96r3cPdP90r3TPc49wf2yfaY9nz2b/Zg9kj2KfYN9gL2EPYy9lj2bPZg9jX19/Wp9UT0xvRA887zc/MH8k3xJ+/C7nztqO1Y7WTtl+3T7hHuT+6F7rLu2+8F7yXvKO8H7snufu4z7eztq+1w7UHtK+1K7b3ukO+e8KTxcvIR8rjzlfSi9az2e/b29yP3HPb49s72rPaV9n72WfYk9eT1ofVd9Rj02fSs9Jj0kvSL9Hj0XvRK9ET0Q/Q69CP0C/QA9ALz/vPi86rza/M68xvzAfLa8qfycvJK8jHyIvIW8g/yDvIR8g/yAvHn8cbxqPGZ8ZjxnvGh8aDxn/Ge8ZvxkfGA8WzxWPFC8SnxE/EL8RTxI/Er8SrxNPFb8Zzx4fIR8izyQ/Jo8qDy4fMe80zzZPNq827zgvOs89vz9fP68/30EvQq9CLz2vNR8prxyvD08DPvqO9j71bvX+9r73/vpu/d8BfwUfCa8P7xdfHq8lnyzvNb8/n0k/UY9Yz1/vZv9tL3GvdE91f3W/dR90P3QPdb95v39PhT+K/5Cfll+b/6FPpo+sr7QfvG/EP8qfz9/Un9lv3g/iX+b/7F/yn/jf/oADoAiQDcATABggHUAikCgwLgA0EDpAQFBGMEvgUXBWoFtQX3BjcGfQbIBw4HSgd/B7oIAAhPCJ8I7Qk0CXYJtAn1Cj4KjArWCxYLTAt3C5QLpAu0C9YMDQxEDF4MWQxGDDAMAwuhCwgKbgoZCiwKjQsDC2ALngvQDAoMUAyfDPMNRg2VDdcOCg4zDlcOdw6QDp8Org7KDu8PEg8qD0YPfw/XEDUQeBCcELEQtRCFEAIPPQ5nDY0MdQreCO4HSAafByUIYAmXCl0Kvwr7CzELVQtUCzULCwrdCqkKbwo6Cg8J5gm0CXkJOwj9CLsIdgg3CAYH4Qe5B4IHPwb6BsQGoQaQBoUGbgY9BfYFqwVuBUQFKAUQBPcE1wSuBHwESwQkBAwD9wPcA7gDkgNzA1sDRgMuAw4C5QK2AoYCXgI9Ah4B+gHOAaABcwFKASEA9gDEAIsAUQAZ/+j/vP+Q/2L/Nf8N/ur+zP6t/o3+bf5P/jb+IP4J/en9vv2N/WH9QP0r/Rz9D/0D/Pf87Pzj/OD85Pzr/O/87Pzm/OH84Pzd/NT8w/yx/Kb8o/yf/JH8ePxk/Gb8fvyZ/KX8o/yj/K78uPyx/J/8ovzQ/Rj9Tf1N/R785vzD/Lf8s/yq/J/8mfyZ/Jn8lfyN/If8jvyk/L/8zfzE/K38mvyY/KD8pfyj/KL8qPyy/Lb8tPyz/Lf8t/yo/I/8fPx//JT8qPys/KH8lfyU/J78qvyy/Lj8v/zH/Mz8yPy//Lj8tPyx/Kz8pvyk/Kj8rPyq/KX8ofyh/KH8nfyX/JP8lvye/KP8pvym/Kb8o/yc/JX8kvyW/J38oPye/Jj8lvyb/KP8p/yh/JD8d/xd/EX8Mvwh/A/7+vvk+877ufuj+4n7bftR+zj7JfsU+wH67/rg+tj60vrK+r/6tfqy+rT6uPq6+rr6uvq4+rL6o/qP+nv6a/pa+kT6KvoR+fz56fnT+bn5nvmE+Wr5Sfkh+Pb4zfim+IH4XPg7+B33//fb96/3f/dO9x728PbH9qT2hvZo9kn2LfYV9gL17/Xc9cr1ufWo9ZX1gfVt9Vn1Q/Ur9RX1A/Tx9Nn0u/Sa9Hn0WfQ59Brz/vPl88vzrPOK82nzTfMz8xny/PLd8sDypvKO8nfyXPI98hnx9PHU8bnxofGI8WrxRfEd8Prw4PDO8L3wqPCP8HrwavBa8EjwNPAk8BrwEPAC7/Lv5e/d79jv0e/G77nvq++g75nvl++W75Pvje+I74fvie+J74bvhO+I75Hvm++f757vmu+Z757vqu+7783v2+/h7+Pv6O/18BDwOPBn8I/wqPC38MXw2vD18R7xZfHY8mzy7/Mo8wPyovJD8g7yBfIP8hryLPJQ8oXywvL68y3zYPOV88fz8/Qb9Ef0efSv9N70//UU9Sf1Q/Vs9Zr1wfXY9eP16fX09gP2E/Yj9jb2TvZp9oP2lvam9rf2x/bL9rf2jvZi9kv2VPZx9or2i/Z29lz2SvZE9kf2T/ZX9lz2V/ZI9jb2J/Yc9gv17PW39XL1KvT19Of1CfVI9YH1lPV89U71J/UR9QX09/Tk9M/0xfTN9On1FPU+9Vf1W/VP9UD1NPUu9Sz1LvUz9TP1LfUg9RX1DvUI9P707vTc9Mf0svSe9JT0nfS29Nb09PUM9Rz1IfUZ9Qf09/Tu9Ov06fTn9On08PT29PH03fS+9Jr0dPRM9Cb0AvPe87XzgvNE8wDyvPKD8lryPvIa8djxefET8L/wfvA479zveO8x7xzvKO8y7yXvBu7f7qnuVO3d7Vfs4OyI7EzsIOwA6+vr3+vY69Xr1uvb6+Lr6uvy6/7sEewo7ELsYOyH7LTs5e0X7Ujteu2r7dbt++4c7j7uYu6F7qru0O757yHvRe9l74rvtu/j8AjwIvA68FnwfvCe8LLwv/DQ8Ofw/vEL8Q7xEPEX8SLxL/FA8VjxePGa8brx2vH78h/yQfJi8oTyrfLc8w7zQfN487Pz7/Qr9Gf0pvTn9SX1YPWb9d32JPZt9rP2+Pc/94v33Pgy+I347PlM+av6B/ph+rv7Fftw+8z8KPyE/N/9PP2d/f7+XP62/xD/bv/QADIAkQDtAUcBoQH/AmMCygMuA4sD4QQ7BJ8FCwV0BdQGKwaABtIHHwdjB54H0Af9CCgIVQiICL8I9QkoCVcJhAmwCdcJ+gocCkEKaQqTCrwK4wsJCyoLSAtkC4ALngu9C9oL9QwQDCwMSAxiDHsMkgyoDL8M1gzvDQgNFw0NDOcMwQzLDSANqg4cDiwN0Q1CDM0MlwyODIwMgwx4DHcMeAxuDFcMPgwuDCIMFQwJDAkMHAw8DF4MfgyfDMkM+Q0lDUYNYA19DaENyQ3tDgoOIw4+Dl0OgA6jDr8O0g7bDt8O4w7oDvAO+A8ADwkPFg8sD1IPiA/HEAUQQRCCEM4RGxFTEWQRVRE8ESkRHxEVEQsRChEXES4RSBFkEY8R1RI3EqwTIROCE7sT0xPoFB0UehThFSQVMBUeFQ4VEBUPFPQUthRjFAwTvRN5E0ITGhL8EtsSqRJjEhMRyRGQEWYRQBEWEOgQuxCOEFwQIQ/dD0YPDg7ZDqMOag4tDe0NrQ12DUcNFwzZDIcMLgveC50LZAsuCvsK0wq1CpwKhQp2CnMKdwp2Cm4KZgpoCncKjgqpCscK4wr4CwILBwsRCysLVguLC8IL9AweDEAMWwxuDHUMbwxhDFQMSwxEDDgMJgwRC/kL2QuzC4wLaQtMCzULJAscCxwLHwsbCxELBwsCCv0K7wrRCqgKfwplCmMKcwqFCogKdwpaCjsKFwnmCasJdAlKCSsJCQjiCLwIoAiMCH4IdQhyCHAIZghQCDoILggqCB0H/AfJB44HTgcIBr8GfAZDBhEF5QXIBcUF1gXsBfYF9wX6BgQGEQYgBjQGTAZhBmwGewaaBsIG1QbCBqUGqgbXBwIG/wbaBtUHGgeOB+MH5AebBzsG5gajBm0GQgYhBf8F1QWrBY0FfQViBSgE0wR5BCcD1ANxAwMCnwJSAhEBywF6ASgA2gCMADj/3P99/xz+s/48/b39QvzP/GP7+PuL+yP6xPpv+iL54vm5+bH5xfnd+eH51Pnd+ir6x/uR/FL87f1v/e/+aP6//t3+0P64/qz+pf6R/mn+PP4k/ir+Qv5Q/j7+CP3D/Yr9b/1w/XX9Yv0h/Kn8B/tZ+sX6afpJ+lf6ePqU+p/6lfp0+jv55vl4+P34i/g4+An36/fE94/3XvdH90z3U/dA9xH22fau9pX2g/Zp9kj2J/YN9gH2CfYk9kr2Z/Zp9kj2CvWw9T/0vvRJ8/fzvvNm8qfxau/k7n3tiO0a7Q/tNu1w7bLt9e4w7l3uhO6r7tDu5+7j7rzufO4x7e7tue2L7WDtP+1I7ZfuNO8A79DwivE48fXy3vP89T/2e/du99/3w/dN9tL2kPaG9of2cvZF9hP15vWx9Wz1IvTo9Mz0w/S39KH0hPRs9Fn0QvQl9Anz+vP99Aj0CfPy88vzovOC82jzRvMY8uPytPKR8nfyXvJE8izyH/Ic8h3yGPIH8e/x2/HO8cfxwPG48bfxwvHU8eDx3PHL8bXxnvF+8VXxK/EV8SDxP/Fb8WbxafF78abx3vIM8i3yTPJ78rny+/M0813zevON853zsfPM8+Tz6/Pm8+bz9fP688LzM/Ji8YPwwfAo77Tvae9K71HvZe9z74Lvo+/Z8BrwXvCr8QrxdvHi8kfytvM+89/0g/UX9Zb2C/Z59tf3Fvcy9zX3Lfco9y33Qvdr9634Afhg+MH5Ifl++db6Kfp6+tb7RPu9/DL8mfz1/U/9qP39/kr+mP7x/1b/vwAgAHgAygEYAWIBqQHyAkAClQLwA1ADsAQPBGwEywUtBYsF1wYSBksGkwbnBzUHbweeB9QIHAhwCMAJBQlBCXsJuQn/Ck8KogrtCycLUQtwC4oLoQu/C+oMGQw6DEAMNAwoDBcL4QtuCtYKWwo0CmcKxQsdC2MLpAvzDE4MqQz5DT8Nfg24DewOGw5FDmoOiQ6fDq0Ouw7QDu4PDQ8rD1MPlA/xEE8QjRCmEKsQqBCHECcPgg65DdwMxgs9CVcHoAbJBxwIPwmDCmkK4QseC0cLXQtUCzQLDwrrCr4KhQpMChsJ8QnDCY0JUgkWCNMIiAg+B/8HzAeeB28HPgcPBuMGuwaWBnMGUAYmBfMFvgWSBXAFVAU2BRIE5gSzBIAEVAQ3BCMEDQPsA8QDoAOEA2wDUgMzAxEC6wK9AooCWQIvAg0B6gHCAZkBdQFXAToBFgDlAKoAbQA1AAT/1/+p/3j/R/8d/vv+4/7O/rj+nf57/ln+PP4j/gb93/2w/YT9ZP1O/Tz9KP0U/QX8/vz+/QL9Bv0I/QX8//z5/Pf8+Pz6/Pj88Pzh/M/8wPy1/K78p/yi/KL8qPyy/Lj8vPzD/Mr8xfy0/Kf8vv0C/Vb9iP17/T/8//za/NL80/zN/MH8t/y3/Lz8u/yu/J78m/yy/NP85vza/Lz8pvyp/Lf8vfy3/LD8tfzB/Mv8zfzO/NL80/zK/Lz8tvzC/Nb84PzZ/Mn8wPzF/NP83vzj/OT86fzy/Pn8+vz0/O786vzm/N/82PzW/Nr83vzc/NX80PzQ/NT81PzP/Mv8zfzS/Nf82fza/Nr81/zO/MD8tfy0/Lz8xvzI/L/8s/yu/LP8u/y5/Kj8j/x2/GD8Tfw5/CP8Dfv5++X70fu7+6T7i/t1+2H7Ufs/+yr7FfsF+vz69frq+tv6zPrF+sb6yPrH+sT6wfq/+rr6sPqg+pD6g/p0+mD6R/ou+hv6Cvn3+d/5xfmr+ZD5b/lH+Rr47/jI+KH4e/hX+DT4Effo97v3i/df9zX3D/bt9tP2vfan9o/2dvZh9k72O/Yl9hH1/fXp9dD1tvWc9YL1Z/VJ9Sz1FPT/9OX0xfSj9IT0afRM9C/0FPP88+PzxPOh84DzZvNO8zTzGPL68t7ywvKj8oPyY/JC8iDx/fHc8b/xp/GN8WzxRvEf8P7w5fDS8L3wpfCL8HXwY/BS8D7wKPAV8Ajv/u/07+jv3e/V78/vxu+476bvlO+J74bviu+M74fvfe9073Hvcu9173jvfe+B74Pvgu+A74DvgO+B74nvmO+t77/vye/L783v0e/b7+vwCPAu8FbwdfCN8KXwwvDd8PfxI/F/8g/yqvMP8xTyx/Jh8hfx/PH/8gzyG/Iz8lzykvLL8wLzNfNq86Hz0/P+9Cb0VPSL9MP06vT99Qj1H/VL9YX1uvXd9e719PX29fv2B/Ya9jX2U/Zw9oX2kvaa9qn2x/bu9wn3AfbV9p/2fPZ49ob2jvaE9m72WvZT9lv2cPaK9p/2o/aW9oT2d/Zw9mH2PPX99a71YvUt9Rz1MPVW9XT1c/VV9S31EfUG9QD09fTf9Mf0uPS+9Nv1B/Uu9UD1OfUn9Rf1EPUN9Qv1C/UN9Q71BvT19N/0yPS09KL0kvSJ9IP0f/R89IL0l/S49Nn08/T/9P/09PTe9Mf0uvS79MX0zfTQ9NP01/TX9M70uvSj9I/0fvRr9FT0NvQR8+LzqfNm8yDy3fKl8nvyVfId8cTxUPDe8IrwT/AQ77fvU+8I7uzu8+757uvu1O6/7qfuc+4V7ZrtH+y67HDsPOwY6//r7uvf69PrzevP69br3evi6+nr9uwN7CvsTexx7Jjsw+z07SjtXO2N7brt5O4M7i/uS+5j7n7uoO7I7vDvF+8/72jvke+z783v5/AI8DHwWPBz8IHwjPCd8LPwxPDL8Mvwz/Da8Ofw9vEI8STxSvFz8Znxu/He8gDyH/I+8mDyi/K68unzF/NJ84PzwvQC9ED0ffS69PX1LfVl9aT17PY49oP2zPcV92T3t/gO+Gf4xPkj+YH52/ox+ob63vs8+537/fxZ/LX9Fv17/d3+Nv6L/uP/RP+sABEAcgDOASgBgAHbAjwCowMJA2kDwwQgBIYE8AVSBagF9wZGBpQG2wcWB0cHdQejB9IIBAg6CHEIpgjWCQQJMQleCYUJqAnKCfIKHwpLCnMKlgq3CtcK9AsQCywLSgtpC4YLoQu8C9gL9gwVDDMMUgxwDIsMnwyvDMEMzgzJDKoMggx/DMENMg2IDX8NFwyYDFIMWgyDDJYMhgxtDGIMXwxTDDoMHwwODAEL7wveC94L9QwaDD0MXAx/DKwM3Q0HDSYNQg1jDYgNqA3BDdYN8A4RDjcOXA57Do8Olg6SDo0Ojw6fDrcOzg7hDvAPAQ8bD0YPgQ/HEA4QUhCaEOgRMRFgEWgRVxFHEUgRUxFTET0RGRDzENQQxhDUEQwRcBH4EpMTLBOnE/EUDRQgFFkUvhUnFVsVRxULFNcUuhSgFHIULxPoE6gTbBMwEvkSzxKyEpESXRIVEccRfxFFERYQ7hDJEKYQgBBQEBQPzQ+GDvkOzg6iDnAOOA35DbINYg0QDMgMiwxTDBUL1AuWC2ELMAr/CtAKqgqNCnUKYgpXClYKWQpVCkoKPwpBClEKbAqNCrAKzwrhCuYK5ArnCvsLIQtVC40LvgvlDAYMJgxFDFwMZQxlDGgMcwx8DHcMXQw1DAYL1gupC4QLagtYC0cLOQsyCzYLPgs9CzILIgsYCxELBAroCrwKiQphClEKWAplCmMKSAofCfIJxAmTCV4JLwkPCPoI5gjPCLkIqgicCI0Ifgh3CHMIaAhUCD8IMwguCCEIAgfSB50HZgctBvUGxAabBnMGSgYnBhEGBgX7BesF3AXUBdQF1wXhBfcGGAY1BksGawakBuEG+gbgBroGvAbqBw0G+gbJBsgHHgecB+oH2geGByYG1waRBkgGBAXJBZYFYwU6BSkFJwUTBNMEcgQQA78DcwMWAq0CUgIUAecBtAFyASoA5ACdAFAAAf+0/2T/Av6H/f39dvz+/I38Gfui+zH60/qK+kz6FPnl+cr5xfnH+b35pPmZ+cH6Kfq6+1X78PyZ/VP+Av53/pz+if5u/mn+cf5u/lD+IP31/eD96f4E/hf+Cf3T/Yr9UP06/Ub9Wf1N/QL8bfuj+tf6QvoF+hT6RPpr+nn6cPpX+ib50/lf+Nz4Z/gX9+v3zvep93v3VfdH90/3VPdC9xj26vbH9q/2lfZw9kb2IfYG9fP17fX69hz2Q/ZX9kf2DfWt9S/0qvQ+9APz5POd8t/xk+/27nbtauzq7NPs8+0r7W3ts+3y7iHuQO5Z7nPuju6d7pLuZ+4n7ejttO2H7VrtM+0p7VPts+447s/vdPAo8O/x2vME9IX2Ove6+Ir4evfS9x/2xfbA9sr2rfZz9kT2LvYY9ej1ofVe9TT1HvUO9Pv06PTR9K70efQ+9BX0B/QM9A7z/vPk883zv/Oy85jza/M08wPy4PLF8qryivJo8k/yRPJB8j/yN/Io8hryFfIS8grx+fHo8eTx9PIL8hbyCvHs8crxq/GL8WfxQ/Ew8TrxXfGC8ZnxofGt8czx+PIh8kHyZPKW8tfzE/M+81zze/Od87rzzvPa8+Hz3vPR87/zqvN58wTyOvFC8GHvyO9370/vOe8370zvau+A75Dvru/m8DLwgvDQ8SXxhfHv8l/y3PNv9Bb0vvVU9dD2PPae9vL3Kvc69yv3EvcK9xv3Q/d597n4Cfhn+Mz5LvmI+dz6L/qF+ub7UvvE/DP8mfz4/Vj9uv4Z/m/+wv8d/4T/9ABgAMEBFgFeAZ8B3QIdAmECrAMAA10DwQQkBIcE6wVTBbEF+gYwBmgGtgcUB2cHngfHB/wIRwibCOIJGglMCYUJxwoSCmYKvQsJCz8LXgtyC4YLogvHC+8MDQwXDBIMDwwUDAkLwgs2CpcKNgo9CpMK+AtEC4ELywwsDJUM7Q0vDWMNkw3DDfIOHw5IDmwOjA6mDrsOyg7YDuwPBw8qD1oPoQ/8EFgQlBCmEKEQmxCJEEQPtw7yDhENBgujCeUIMQcqBzYIKgluCnMLCgtRC3ELeQtpC0kLKgsMCuMKqgpqCjIKBAnUCZsJXwkkCOoIrQhtCCwH7we1B34HUAcpBwQG2AamBnUGSAYhBfwF2gW8BaAFgQVYBScE8QS4BIQEXARDBDMEHAP4A84DqgOPA3cDWAMzAwwC5gK7AokCVQIoAgMB4AG8AZkBfAFlAU0BKwD7AMEAhQBOAB3/7//A/5D/Yf83/xb+//7v/t/+yf6p/ob+Zv5N/jH+DP3d/bH9kP16/WT9Sf0s/Rf9EP0V/SD9KP0m/R/9F/0T/RL9Ef0P/Q79Df0J/Pr85/zZ/Nj83/zl/OL83Pzb/OX88/z//P787vzW/Mv85P0f/WD9f/1r/Tb9Bfzx/Pf9Av0B/PP85vzo/PT89/zh/L38pPyt/Mv83fzQ/LD8n/yr/Mb81fzQ/Mj8yfzT/Nr82vzb/N783vzZ/Nf85f0C/R79Jv0W/P387vzy/QH9D/0T/RD9D/0V/R79JP0j/SD9Hv0b/RX9Dv0L/Q39E/0T/Q39B/0F/Qb9BP0B/QD9BP0L/Q79Df0K/Qj9Bv0A/PT85/zi/Of87/zx/OX81fzO/NX84fzi/ND8s/yX/IL8bvxW/Dr8IvwQ/AD77fvX+8H7rPua+4n7eftn+1H7Ofsn+xv7EvsI+vr66/rg+tz62vrW+tD6yvrF+sD6uPqv+qb6n/qV+oX6bvpV+kD6Lvoa+f/54PnB+aP5gPlW+Sr5APjc+Lj4lPhw+E74LPgH9973tPeP9273Ufc49yX3E/b/9un20fa69qP2h/Zp9kz2MvYY9fn12fW79aD1g/Vi9UL1JvUO9PP00vSx9JX0fvRl9En0LfQT8/nz1/Ox847zcvNb80TzKvMP8vLy0PKp8oLyYPJD8ifyCPHp8czxsfGT8XHxS/Eo8Qvw8/Dc8MLwpfCJ8HHwX/BN8DjwIPAJ7/fv6u/h79jv0O/I77/vtO+l75Pvg+9573fveu9673Tvau9h71rvV+9X717vae9y73Hvae9i72DvYu9n73Dvgu+Y76nvr++u77Dvte+778Xv2e/88CXwSfBk8H7wmPCs8Lfw0PEX8Z7yRvLP8wLy1vJ28h3x8fHx8gbyGvIr8kTyb/Kp8uTzGvNN84Hzs/Pf9Ab0NPRs9Kb0z/Ti9Oz1BfU39Xf1tPXg9fj2APX/9fz2AvYV9jL2VPZz9oj2kPaP9pX2t/b19zX3UPc09vX2uvaf9p72oPaU9nv2ZfZb9mX2gfan9sn22PbU9sn2xPbE9rn2j/ZG9e71nvVm9U71UPVe9WH1T/Us9Qv0+fT29PX07fTe9M/0xvTM9OL0//UW9Rn1CvT59PP09fT39PP07vTv9PX09fTn9M70r/SP9HP0YPRY9Fn0YfRt9H/0nPS+9Nv07PTu9OX00/S79Kb0nfSj9LH0vvTE9Mb0xfS/9K70mPSE9Hr0d/Rz9Gf0T/Qs8/3zxfOF80LzAfLG8o/yVPIE8ZjxH/C28HHwRfAM767vO+7b7qzup+6t7qruou6e7pjue+427c/tXezz7J3sW+wt7A/r+uvm69TrxuvB68TryOvM69Hr3Ovw7A/sM+xZ7H3spOzR7QXtO+1t7Z3tze377iLuPO5N7l3udu6X7r7u5+8R7zrvXu9875jvue/g8AjwKPA98EvwXPBx8ITwjvCO8Ivwj/Cd8K7wwvDZ8PnxIPFK8XDxk/G28djx+PIY8jvyZ/KX8sTy7fMa81LzlPPX9Bb0UfSL9MT0+vUw9W71tvYE9lP2oPbt9z33kvfr+EP4nvj6+Vf5sfoG+lr6s/sT+3b71fwu/Ij86f1P/bH+CP5a/rL/F/+C/+sATQCtAQkBYwG7AhgCewLfAz4DmgP4BF4ExAUhBXEFvQYLBlYGlQbGBu8HGgdLB4AHtwfuCCQIVwiGCLMI4QkNCTQJVwl8CaYJ1An/CiUKRQpkCoQKogq/CtsK+QsWCzILTQtpC4gLqgvJC+YMBQwoDEkMXgxnDG0MeQyADHIMTww6DFcMoQzfDNIMewwdDAEMLgxuDIcMdAxXDEwMTAxADCUMCQv4C+oL1wvGC8YL2wv8DBsMOQxfDI8MvgzkDQINJA1LDW4NhA2TDacNxw3tDg4OJQ42DkUOUA5VDlkOZA54DpMOrw7ODvUPJA9VD4EPqg/XEA4QThCWEOARIBFKEVoRXRFkEXMRfhFzEUoRCRC5EGgQMBAtEHAQ8BGSEjkS1hNYE7IT5xQRFFUUthUMFScVAhTFFJkUfxRcFBsTyhOCE0kTERLSEpYSaxJPEjAR/RG4EW0RJxDqELUQiRBnEEoQKA/3D7YPbQ8sDqwOhg5aDiUN6A2oDV4NBgyoDFMMEwvkC7oLjAtbCywLAQrWCqwKiQpuCloKTQpGCkYKRwpCCjcKLQouCjwKVgp3CpkKtQrCCsMKwQrGCtoK/QsuC2ILkQu1C9IL8wwXDDUMRgxPDGIMggyeDKAMgQxMDBAL1wumC4ILbgtlC1sLTwtFC0ULSgtKCz4LLQsdCxALAArmCr4KjwplCk4KSgpOCkMKIQnsCbUJgwlXCS4JDQj2COYI1gjGCLsIswipCJcIgwh1CGsIXAhICDgINAgxCB8H9Qe9B4QHUAceBvIG0Aa5BqQGiQZqBkwGMgYYBgIF9QXvBecF3AXbBfIGFgY0BkYGZQakBu4HDgbyBsQGwAbrBw4G/gbUBtoHMAegB9YHsQdaBwcGyQaLBj0F6QWeBV0FJAT8BO4E7QTWBJAEKgPJA30DNQLcAnkCKAH2AdQBqQFsASgA6ACnAGEAGv/X/5D/M/62/ib9mv0g/LD8O/vA+0r66fqh+mn6OPoL+eb5zPm4+Z35evlj+XD5qvoI+nv7CPu8/JH9Xv3v/iz+K/4X/g7+FP4a/hP9+P3O/aj9nP2z/dv97f3V/Zr9X/08/Tb9PP05/Q38nPvh+wD6Qfng+eD6Efo9+k36Sfo8+hz51Plf+NX4W/gI99j3tveQ92b3Rfc790P3R/c39xL26PbI9q32ivZa9iX1+PXa9cf1v/XI9eT2BPYS9fr1uvVY9N/0ZPQG89rzyfON8tbxi+/r7mXtU+zP7LLszOz67TPtc+2z7eTuAu4U7ibuQO5b7mTuTe4b7eLtr+1/7U3tHOz+7QHtJe1i7b7uQe7v77zwqvHd83n1Z/cw+D34Tvew9wf2w/bZ9vH20vaR9mb2ZPZo9kv2B/W69YH1YPVQ9U31UvVK9SH01fSA9ET0LvQp9Bz0AfPr8+jz8/Pz89XznPNd8yzzDPLx8tDyqvKK8nnyd/J38mzyU/I58ivyMPI+8kPyOfIp8iLyKPIx8izyEfHi8a7xgfFh8U/xSfFO8WHxgPGk8b/xzvHb8fbyHfJC8l3yd/Kj8uDzGvNB81zzffOk88Tz0vPX8+Dz6PPW857zQ/LE8hjxOvBN747vKu8V7yDvKe8x70rvb++Q76fvx/AD8FXwq/D48UXxovIY8qHzN/PV9Hj1FfWd9g32a/bC9xL3SvdZ90D3GvcH9xr3SPeC98H4D/hw+Nj5OvmQ+eH6OPqZ+wL7cPvh/E78sv0O/Wv9z/4z/pH+6v9H/7EAJgCYAPwBTQGRAc4CCwJIAoYCxwMSA20D1gRBBKgFDwV1BdEGGAZQBo0G4gdEB5YHywf0CC4IfAjJCQMJLgleCZ0J5go0CoYK2wsnC1sLcwt+C44LrAvRC+8L/Qv7C/cL/gwLC/ULlArxClEKBwowCp4LDwtjC6wMBwxwDNANFA1DDW0NnQ3QDgAOKw5QDnAOjw6vDswO3w7rDvYPDQ8wD2APoQ/0EEwQixCiEJ8QmRCOEFQPyQ73DgwNFgvwCnYI2weqB2cIHAlQCm4LIwt3C5ULmQuJC20LTwsxCwoK1AqXCl4KKwn1CbYJcwk3CQUI1wimCGwILAfpB6oHdgdOBykG/gbJBpMGYgY5BhcF+wXiBcYFoAVvBTkFAQTKBJUEagRNBDsEJwQFA9oDsgOVA3wDXAM1AwsC4AKzAoQCVAIqAgYB4gG+AZ4BhQFxAVkBNgEIANMAnQBoADYABf/V/6j/fv9Z/zn/IP8N/vv+5v7N/rD+lf57/lz+M/4D/df9t/2h/Yv9bv1O/TT9Kv0v/Tv9Q/1A/TX9K/0o/Sn9Jv0d/Rj9Gv0g/R79FP0L/Qz9Ev0P/P/87/zy/Qz9L/1D/UD9Kv0Q/QP9DP0o/Ub9Uv1D/Sb9EP0R/SP9NP02/Sj9Hv0n/UD9Tv03/QD8y/y2/L78yPy8/KX8nfyw/Mz82fzW/NL81vze/OH84fzk/Ov87fzq/Ov8/P0b/Tb9Pf0t/Rf9C/0R/SX9OP1C/UH9Pv1B/Ur9VP1Y/Vj9Wf1Z/Vb9Tv1H/Ub9Sv1N/Ur9Q/0+/Tv9OP03/Tn9Pv1F/Uf9RP1A/T79P/09/Tb9Kv0f/Rv9G/0W/Qf89fzt/Pj9C/0R/P/83vy//Kn8lvx9/GD8R/w3/Cr8F/wA++f70fu++6z7mfuF+3H7W/tG+zX7Kfsf+xX7Cvr/+vb68frs+uf64PrY+s76xPq8+rf6tPqv+qL6jfp1+l36R/ou+g/57PnJ+an5hvlf+Tf5Ffj5+N74v/id+H74ZPhK+Cv4Cvfq9833sfeW9333ZvdN9zL3Fvb79t32u/aX9nT2VvY59hf19fXV9bn1nPV79Vr1PfUj9Qb05PTB9KX0jvR29Fn0PPQi9Abz5PO985fzevNi80zzNPMa8vry0/Kn8oDyY/JM8jPyFvH28djxuvGa8XbxVPE18RvxAvDm8MjwqfCM8HLwW/BF8C/wF/AA7+vv2e/N78Xvve+076rvnu+R74Pvdu9t72jvZe9f71bvTu9J70PvPO847z3vS+9Y71rvUO9G70PvRe9L71TvZe9574jvju+Q75XvnO+i76jvue/Y8AHwJPA+8FPwZ/B08HjwhPC68S/x0fJt8sfyxfJ68h3x4fHa8fbyFfIo8jjyWvKT8tbzEvND83Dzm/PD8+v0G/RU9Iv0svTD9NH08vUt9XP1tPXk9f/2CfYF9gD2BPYV9jH2UfZw9oj2kvaO9ov2pvbp9z33dPdw9zz3APba9sr2vfam9oj2bvZj9mr2g/aq9tL27fb29vj2//cG9vr2yfZ39hb1v/WD9WT1WvVW9Uj1K/UH9O304vTj9OT04PTa9Nb01fTY9OL07/T29PH04/TZ9Nv05vTr9Oj05PTo9PT0/fT69On0zvSu9I70dfRn9Gb0b/R/9JX0sfTN9OL06/Tp9N30yvS09KH0nPSk9LP0v/TE9MT0wPS19KL0ivR59HH0cvRx9Gn0V/Q79Bfz5/Ou823zKfLk8p3yTvHw8YPxFfC98IfwYfAp78jvR+7M7nruV+5T7lnuYu5s7nHuYO4y7eftjO0t7NLsg+xG7B7sBOvv69nrxeu367Prtuu868Xr0Ovf6/fsGOw87GHsh+yy7OXtHe1U7Yftue3o7hDuLO4+7kzuXe517pHutO7b7wXvLe9S73bvnO+/79zv7+//8BDwJ/A98E7wVfBV8FTwWvBo8Hzwk/Cu8M7w8/EZ8T3xYPGG8a3x0fHz8hjyQvJw8pvywvLs8yHzYvOn8+n0JfRe9JX0zPUE9UL1iPXU9iL2bva79wz3ZPe/+Bv4dfjQ+Sv5hvnd+jL6i/rq+037q/wC/Fj8t/0c/X/92P4s/of+7f9Y/78AIQCCAOEBPQGVAfACUQK0AxIDagPGBCgEjATmBTQFfwXKBhEGSgZ0BpkGxQb5BzIHagegB9UICAg3CGUIkQi8COQJCQkvCVoJhgmuCdEJ8QoRCjEKUQpvCowKqgrGCuAK+gsZCz4LZAuDC5sLtAvXC/wMFwweDB4MJgw3DDkMIgwLDB8MZwyxDLwMeAweC/YMEgxGDF8MUww/DDkMOAwpDA0L9AvlC9oLygu7C7wLzAvkC/sMFwxBDHMMnwzADN4NBA0wDVANYA1rDYENpA3EDdUN2g3jDfgOFQ4vDkMOUw5jDnMOiA6wDvQPSg+XD8QP1Q/jEAQQOhB4EK8Q2xD/ESYRURF8EZURjhFjERwQxhBkEAEPuw+2EAMQjBEnEbYSNxKxEyATfRPOFCIUdhSuFK4UgxRVFD8UMxQNE8QTcRMuEvsSwBJ2Ei4R+xHdEb0RjBFLEQMQvhB9EEEQEA/tD9QPtg+KD08PEA7YDk0OHQ3mDacNYw0gDNoMiww3C+0LuQuZC3wLVgspCv0K1gqxCowKbgpbClEKSwpICkQKQQo9CjkKNgo4CkAKUApnCoAKkgqYCpgKnAqrCsQK5AsMCzcLYQuCC58LwAvlDAMMEwwfDDoMZgyNDJQMdQxBDAsL2guvC44LfAt3C3QLawtdC1MLTgtICz0LLgsdCwwK9grZCrUKjQpmCkoKPAo0CiEJ+Am+CYMJUQkrCQ4I+QjoCNcIxgi7CLkIuwi2CKYIkQh/CGwIUwg6CC0ILggtCBMH3QeZB1sHJwb6BtUGvAawBqcGmQaEBmsGUQY7Bi4GKwYoBhcF/QXzBgsGMwZHBkMGSgZ/BtAHAAbtBrgGoga9BuEG5wbeBvkHSQecB7EHewcnBuYGuQaHBj4F6QWZBVIFEgThBMgEuwScBFgD/QOqA2YDIALJAmsCIQH3AdgBrAFtASoA6gCrAGcAIf/f/5r/P/7H/j79uf1F/Nr8bPv2+4T7H/rO+o/6Wvor+f/51vmt+YL5V/k3+TL5TfmG+dj6Tvrx+7r8h/0v/Zf9v/28/aT9jP2C/Yj9jP17/Vz9S/1h/ZT9vv3F/a79kP11/Vr9Pv0n/Qv8xfwu+076bvng+cD54voH+hX6Gfoj+iH58/mK+P74e/gc9+D3sveD91P3MPck9yz3NPco9wP20Paf9nP2Q/YI9cn1lvV89Xr1h/Wb9af1nfVx9SP0xPRl9A3zwvOS84PzfvNC8ozxSe+37kLtQezG7KrsuezX7P/tNO1u7aHtwu3Y7e/uEe407kbuOe4S7eHtse2D7U7tFuzm7MnsvOy87NjtJu2w7m3vUPBq8dbzhPUY9hT2P/Xe9YD1ifXl9j32VfZE9kD2XPZ19mX2KPXd9Z/1dvVh9WP1dvWC9Wb1HPS/9Hn0VvRG9DT0IPQc9DD0SfRJ9CPz4fOb82TzO/MW8vDyyvKs8p3ymfKU8oHyXfI28iTyL/JO8mnyc/Js8mDyVfJH8jTyFvHn8abxXvEm8RLxIvFF8WzxkfG28dXx5vHx8gXyKfJO8mbyePKa8tPzEvND82fzjPOz88nzy/PQ8+30C/P184fy0/IG8Tvwce+07yfu6+757x7vNu9B71fvf++r787v8vAr8HnwzPEZ8Wjxz/JY8vrzoPQ79Mn1S/XA9iT2e/bN9xv3V/dt91f3LfcU9yL3T/eJ98j4GPh9+Ov5T/ml+fr6W/rF+zH7nPwH/HD80f0p/YH94v5L/rH/Ef9y/94AUgDAARwBZAGiAeECJAJnAqYC5QMtA4cD7gRYBLwFHQWABd4GLQZuBrQHCgdpB7gH7wghCGMIsAjzCR4JQwl4CcEKEgpfCqsK+QtBC3ELhQuOC58LvAvbC/EL+Av2C/cL/AvyC7gLOQqQCgUJ2goYCo4LBQtsC9QMSQy3DQcNNA1TDXkNrA3iDhIOOw5eDnwOmw6+DuAO9w8CDwoPHQ88D2UPmg/jEDcQfRCeEKEQnRCREFEPtQ7IDcoM6QwDCtcJYQgUB4cH/AkeClELIQuCC6ILqwuoC5cLegtZCzMLBQrPCpkKYwooCeUJoAljCTEJAwjRCJkIXAgeB+IHrgeBB1gHKgb3BsIGjwZhBjoGGQX7BdoFrgV9BU8FJwT8BMgEkQRlBEsENgQZA+4DvwOYA3oDXQM6AxAC4wK1AogCXwI6AhQB7AHEAaQBjQF6AWEBPQETAOcAuACGAFEAHv/v/8T/nv99/2D/Rf8s/xP++/7m/tL+vP6f/nn+S/4b/fP91v2//af9i/1w/Vz9Uv1T/Vj9W/1U/UX9Of03/Tz9PP00/Sn9J/0u/Tb9N/02/Tb9Mv0e/QP89P0H/Tf9Zv17/XL9Wf1D/Tb9MP0u/TD9Mv0w/Sv9Kf0x/UL9Uf1S/Uf9Q/1a/Yj9sP2s/Xb9Kvzw/NX8yvy+/LP8s/y//Mv8zPzH/Mv82fzm/On86/z0/QP9DP0K/QX9B/0U/ST9Lv0x/TD9MP03/Uj9X/1z/Xz9ff2B/Yr9lv2d/Z/9ov2l/aP9mv2O/Yj9iv2N/Yr9gv17/Xj9ev19/YH9hf2G/YT9gv2B/YH9gf1//Xf9av1a/U79SP1D/Tb9Iv0W/Rz9Lv02/Sf9Bvzm/ND8wPyp/I/8ePxq/F38Svww/BT7/fvn+8/7uPuj+5H7fvtp+1L7QPsz+yv7JPsa+xH7CvsG+wT6//r0+uX61/rN+sX6v/q3+qn6lfp9+mT6TPoy+hP58fnR+bT5l/l3+Vn5Qvky+SD5Bfjl+Mj4s/if+In4bfhP+C/4DPfn98L3oPd+91v3Ovcb9vv22fa09pL2dfZY9jj2FPXy9dT1tfWT9XL1VPU59Rr09vTQ9LH0lvR79F30QPQm9Azz7fPI86PzhfNr81PzOvMf8v3y1PKq8ojycPJb8kDyHvH78dzxv/Gg8X7xX/FE8SnxC/Dq8MnwqvCO8HHwVfA68CLwDO/37+Lvzu++77Hvp++d75PviO9+73Tvae9f71XvSu8+7zLvK+8r7yrvJO8d7x3vKe837zzvNe8r7yjvLO807z3vSe9X72Pva+9073/vjO+U75rvp+/D7+bwBPAb8DDwRPBS8FfwXvCC8NnxYfH58nDynvJ68ibx2vG/8dbx/PIV8iXyQ/J98sbzCfM982bzi/Ot89Hz/vQ19Gn0ivSb9K/03fUl9Xf1wPX09hH2FvYP9gn2EPYl9j32VPZs9of2mfaZ9pH2nfbT9yX3aPd79173MfcM9vH21Pay9pL2fPZ09nn2jPat9tL28Pb/9wf3EvcW9wP2yfZv9gv1t/V+9WD1UfVD9Sr1CPTn9NT00vTX9Nn02PTW9Nf01/TX9Nn04PTn9Of04vTg9Ob08fT49Pn0+/UE9RP1IPUk9R71D/T49Nv0v/St9Kj0rvS79Mv03fTu9Pv1AfT+9PH03PTD9LD0rfS49Mf0z/TP9Mr0wfS19KT0k/SG9ID0ffR39Gz0XPRJ9DH0DfPa85fzSvL58qfyUPHz8ZHxM/Dn8LPwjfBa8ALvg+7y7nXuJO4D7gXuGe4v7jnuMO4S7eTtqe1h7Q/su+xx7DvsFuv569/rxuuz66nrquuz68Hrz+va6+nsAewi7EjscOyb7M7tCO1C7Xjtp+3R7fXuEu4q7j7uUe5j7nfuke607tzvBu8v71fvfO+Z76zvt+/F79jv7vAB8A/wGPAe8CTwKvA28EjwYfB+8J7wv/Di8QbxLPFU8X7xpvHL8fDyGPJE8nDymfLD8vXzM/N387nz9/Qx9Gn0ovTd9Rv1YPWq9fX2P/aK9tr3M/eR9/D4Svih+Pn5U/mt+gX6Xvq8+x77ffvW/Cz8h/zp/Uz9qv4F/mP+x/8u/5H/8QBQALABDAFmAcMCJwKNAuwDQgOYA/UEVASqBPUFOQV9BbwF8QYbBkMGcwarBuUHGgdNB38HsgfjCBEIPQhpCJIIuQjhCQkJMQlXCXoJnAm+Cd8KAAofCkAKYAp+CpkKtArVCv4LKQtLC2ILdguTC7kL1wvhC98L5Qv2DAAL+Qv3DCoMnQ0XDUQNAQx/DBYL9gwKDCIMKQwmDCQMHQwJC+8L3QvVC80LvwuzC7QLwQvRC+IL/QwpDFoMgQydDLwM5Q0QDS0NPA1JDWINgA2VDZkNmw2rDcsN7g4KDh4OLw49DkkOWw6IDtgPOw+LD7EPsw+2D9IQAxAwEEsQXhCCEMgRJRF4EZsRfhEuEMgQZBAFD7EPfw+ND+YQahDqEVMRsxIkEqMTHBN/E8wUAhQUE/wTzROpE54TlxN1EzkS/RLUEq8SdRIhEc0RkRFrEUcRFBDVEJAQTBAID8oPmA90D1kPPQ8YDukOsw59DdMNkA1KDQAMtQxyDDcL/gvFC5cLewtrC1YLMwsHCt0KugqZCnkKYApWClgKWwpYCk4KRgpECkkKUQpVClUKVgpcCmYKbAptCnAKfwqbCrsK1wryCxELMwtUC3MLlQu5C9UL5AvwDAwMOQxgDGgMTAwiC/0L4AvCC6ULkguOC48LiQt5C2YLVQtHCzsLMAslCxQK+QrWCq4KhgpgCkAKKQoXCf4J1AmdCWUJNgkTCPwI6wjbCMsIvQi4CL4IxwjECLQInQiFCGsISggqCBgIEwgKB+QHogdYBxkG6QbDBqUGkwaOBo0GiQaBBncGagZcBlUGVAZLBjAGDgYHBikGVgZfBjsGHQY/BpgG5gbrBrEGdAZhBnQGlgbEBwkHXAeTB4kHSAb8BsYGoAZzBjIF6QWgBVcFDQTMBJ4EfgRWBBoD1AOUA1wDGwLIAnECLgIFAeYBuwF/ATwA+QC1AG0AJP/g/5n/Qv7W/l796f1//Rj8r/xC+9j7dfsb+s36jPpT+h355Pmo+W35OPkR+Pz4/fkY+U/5qfot+tj7l/xR/On9Rv1c/TX89vzP/NT88Pz+/PX88P0N/Ub9ev2V/aH9rv22/aP9eP1T/UH9G/yg+8L6w/oI+b/5w/nT+dP52Pn4+h76GvnP+U34w/hU+Aj3zveY92P3Ovcp9y73Ofcv9wD2svZa9gj1vvV19TH1AfT49Rj1TPVw9WD1CfR188vzOfLf8sHyzPLv8xfzI/Le8hrw1+9a7gXtI+y77KLsqey47NTtAe037Wftie2k7cbt8e4a7i3uI+4C7djtr+2E7VHtF+zf7LHsiuxk7ErsU+yZ7R3tze6d747wnvGi8lTykfKD8o/y/fO/9In1H/V/9c32GfZN9lX2NvYG9dT1n/Vt9VD1U/Vj9Vv1KfTg9KH0efRh9E/0SPRU9G/0gPRz9EX0BfPB84PzT/Ml8wTy6PLM8rDym/KM8nryXfI78izyPPJm8pLyrPKw8qPyi/Jw8lzyS/Ir8eLxbvD58LXwt/Dp8SfxY/Gd8c3x6PHx8f3yHPJG8mTydvKQ8sTzBfNB83Pzo/PK89jz0PPX9Ab0NvQS82ryZfFh8JXv++907wju2e7v7yPvS+9f73bvoO/U8ADwJvBV8Jfw5fE58ZjyEfKp81Lz8/R89O71VPW29hX2bfa/9wz3Sfdm91n3Nvch9zD3XfeX99j4KfiS+QP5bPnK+iv6mPsJ+2/7zPwq/Iz86f09/ZL99P5i/s//NP+YAAQAdADaASsBagGlAeUCLQJ3Ar4DBQNSA6sEDARqBMMFHAV+BeQGQAaNBtYHJwd+B8wIDAhKCJEI2QkRCTUJWgmWCegKPQqJCtALFwtWC30LjQuYC60LygvjC/AL9Av2C/ML4AumCzkKogoMCbAJsAoBCncK8AtrC/MMfwzzDTgNWA1wDZINvQ3pDhIOOg5hDoQOpQ7HDukPAg8QDxsPLQ9ID2sPmQ/aECoQcRCXEJ4QmhCKEEIPlA6ODX4MqQv6CxUJyAhnB5oH0AjeCiULFAuGC6oLuwvJC8kLtAuTC2wLQAsLCtAKkgpTChIJ0wmZCWMJKQjrCK4IdghGCBkH7Ae+B40HWwcnBvMGwgaSBmQGOwYTBegFugWRBXcFaAVOBRkE0QSOBGMETAQzBAsD1wOlA3wDWwM7AxkC8QLIAqACewJVAioB+QHLAaoBlQGDAWoBSQElAP8A1QCkAHAAPwAT/+3/yf+p/47/c/9W/zb/Gv8E/vH+2/67/o/+YP42/hX9+v3e/b/9pP2S/Yn9hf2B/Xv9dP1o/Vj9Sf1F/Uz9VP1U/Uz9Rf1F/Un9TP1O/Ur9Pf0j/Qv9Df0z/Wz9lP2Y/YH9af1f/Vv9Uv1D/Tj9Of1A/UX9Rv1H/Uz9Uv1Q/Ub9R/1o/az99P4T/fL9pP1P/RL87/zd/NT80fzQ/Mr8wfzB/ND85/z1/Pf8+P0E/Rr9K/0t/SL9Fv0S/R79PP1i/X/9hv19/Xn9iP2j/bn9w/3J/dL93v3m/en97P3x/fL96v3f/dj92P3Z/dT9yf3A/b/9xv3Q/df91/3Q/cn9xv3H/cb9wf24/av9mv2H/Xv9ev1//X39bf1X/U39Uv1X/Ur9LP0N/Pf85/zT/Lz8p/yZ/Iz8d/xc/EH8K/wU+/v73/vH+7X7pPuP+3f7X/tO+0X7Pvs1+yv7Ivse+xz7FvsJ+vj66Pra+s36wPqx+qD6jfp2+l/6Sfoz+hr5//nm+dD5uvmi+Yz5ffl0+Wj5Ufkx+RH4+Pji+Mr4rviQ+G74SPgb9+/3xfee93f3Ufcv9xD28fbQ9rD2k/Z39lj2NPYP9ez1yvWn9YX1ZvVK9Sr1BfTf9L30n/SB9GH0RPQq9BDz8/PT87PzlfN481rzPvMg8v/y2fK18pnyg/Jq8kjyIPH78d7xxPGo8YvxbvFS8TLxDvDp8MbwqPCM8G7wT/Ax8BjwAu/u79rvxe+w757vkO+F73vvdO9t72XvWu9M7z7vMO8h7xPvCu8K7wzvC+8G7wTvDO8X7xzvF+8P7w7vFu8j7y7vNu8970XvTu9c73Dvge+M75Tvou+479Dv5e/58BDwKvA/8EnwUfBn8J/xAPGE8gzyavJ68kHx8PG98bzx2PH08gjyKPJg8qby6/Mk81PzefOX87Lz1/QH9Dj0WfRt9In0wfUZ9X312PYY9jb2NfYm9iD2LfZG9lj2X/Zq9oL2nvap9p/2m/a59vj3OPdY91T3Pfcj9wf25vbB9qP2lPaR9pf2pfa+9tv27/b29vf29/bv9s72ivYu9dT1kPVn9VH1QfUr9Q306vTQ9Mf0zfTW9Nr02vTa9Nz03vTe9OP07/UA9Q71FPUW9Rv1IvUp9S/1N/VB9Uz1VPVZ9Vr1V/VK9TX1IPUS9RD1E/UX9Rn1G/Ug9Sb1LPUs9SD1BvTm9ND0zPTX9OT05/Tf9ND0wfS19Kr0ofSb9Jb0j/SC9G/0W/RL9Dz0IfPy86zzWfMC8q7yWfIE8a3xWfEQ8NjwsPCK8Ejv1u857pXuF+3Z7dbt8u4P7hruEO337dnttu2I7Uns/eyv7GrsMuwH6+PryOu066jro+uo67Xrw+vQ69zr8OwO7DbsYOyN7L7s9u0w7Wbtk+257djt8+4N7ibuPe5R7mTue+6Z7rzu4O8D7yfvSe9k73bvg++T76Xvte/B78zv2e/n7/Hv9/AA8BHwKvBI8GjwivCv8Nbw/fEk8UzxdfGc8cLx6fIU8kLycPKe8s/zCfNI84nzx/QC9Dv0dvS09PT1OfWB9c32GfZm9rf3Dvdr98j4H/hy+MT5Hfl6+db6MfqO+u/7Ufuu/AX8XPy5/Rv9ff3d/j7+oP8E/2X/xAAjAIAA2gE1AZcCAQJtAs4DIwN1A8sEIwRxBLIE6wUjBVsFjwW+Be4GJAZeBpUGxwb2ByUHVgeGB7YH5AgQCDsIZAiMCLMI2Qj/CSQJSglvCZEJswnVCfkKHQpACmEKgAqiCsoK9QscCzgLTQtlC4QLnwusC64LswvAC8sL0AvqDEMM4Q2ADcANcAzCDBwLxwvAC9sL8wv/C/8L8wveC8sLwwvCC7oLrAuiC6YLswvAC88L6gwTDD4MYAx7DJ0MxwzuDQgNFw0pDUINVw1iDWkNeg2YDbcNyg3TDd4N9Q4UDjIOUg6ADsEPBg81D0IPQA9LD24Pmw+6D8kP3hAYEIAQ/RFfEXwRSxDiEGwQBw+6D4gPfg+sEBEQixD0EUURlRH/EnkS4RMhEzoTOxMpEwQS2xLAErgSsBKYEncSYBJYEkUSEhHCEXIRNxEOEOMQqxBrECkP5g+lD2oPOQ8RDu0Oyw6qDoMOUg4VDVAM+wyqDFoMDwvQC6ILgAtlC1QLTgtLCz4LHwr3CtMKtQqVCnYKYQpeCmoKcwpvCmEKVApUCl8KbQp0Cm4KYwpZClYKVQpVCl4KeAqgCsQK3ArqCvwLGAs5C1gLeAuYC7MLxQvUC/EMGgw8DEIMLAwOC/oL7AvaC8ELrQulC6ULnwuRC3wLZAtPCz8LNwsyCyQLBgraCqoKfApTCi8KEgn5Cd0JuAmLCVsJMAkNCPQI5AjaCNEIywjLCNII1AjICKsIiwhuCFEILggKB/EH4AfHB5IHSAb9BsIGmgZ8BmkGYQZkBmsGcQZ5Bn8GfgZyBmIGUwY+Bh4GAgYKBj0GcwZzBjUF9gYBBmIG0Qb5Br4GTgXxBdgGDQZ9BwAHZgeKB2sHJgbkBrMGhwZTBhcF2wWeBVgFBgS2BHQEQAQPA9sDpgN4A0sDEgLJAn0CPwIVAfUBzgGZAVoBEwDGAHkAL//p/6D/TP7r/of+JP3B/Vv88fyK/Cf7yPtr+xP6xfqA+jz58fmi+Vr5Hvjv+Mv4tPiw+Mb5Afll+fH6oftl/CH8rfzk/MT8d/w//D38YPx8/IP8jvy1/PD9Iv1A/WH9l/3P/eP9zP2t/aL9iP0b/ED7M/pb+ez5yPmx+ZL5ifmz+fz6J/oG+Zz5E/iY+D33/PfH95f3bvdW91L3VvdF9wj2mvYT9ZP1KfTT9JH0bvR99MH1F/VC9Qj0WvNb8lfxmfFJ8WPxxfI+8qLyv/Jq8Y/wSO7f7bDs8Oyd7Insi+yW7LLs4u0Y7ULtXu157Z/tzu337gnuAu3p7cfto+157UjtD+zW7KTsd+xH7BDr4OvW7AbsYuzL7THtmu4S7obu3+8h74XwQfFa8pfzsvSO9TP1svYL9j32UPZN9i716/WT9Uj1J/Un9SX1C/Td9K/0ivRs9Ff0UvRd9Gr0ZPRF9Bfz5POr82zzMfMJ8vjy7vLW8q/yivJ58nTybfJe8lfya/KV8sPy5PLz8vPy4vLK8rnytPKe8kbxmvDL8DLwBPAz8Ivw6fFD8ZPxyPHe8evyC/I98mryhPKb8sLy+fMz827zrfPh8/Pz6PPt9CD0UfQa80XyEfD68Efv3O957xLu1O7f7xzvWO9775jvw+/78CzwUfB38LHxA/Fr8ePybPMC85r0JPSW9PH1RPWc9fr2V/at9vn3NvdX91X3P/cz90j3eve19/b4Rvit+R75ifnv+l361vtL+6v7+vxL/KP8/P1P/aT+B/53/ub/TP+vABsAigDtATsBeQG0AfQCOgKDAtADIwN5A9MEKwR+BM8FJgWKBfYGWQarBvEHOweLB9sIIwhnCK0I7gkiCUkJdwm6Cg4KYgquCvILMgtkC38LiwubC7gL1wvpC+sL5gveC8cLiQsaCoQJ7AmBCWMJlQn5CnAK7At2DA4Mow0VDVgNfQ2XDbINzA3kDgIOKw5aDoUOpw7FDuQO/w8UDyYPOw9WD3cPpA/jEC4QbhCOEJIQjRB9EDYPhQ53DWIMnQwfC30KXQjuB90HxQiqCfgLCAuSC8AL1QvtC/0L9QvZC7ILgQtFCv4KtQpvCjAJ9Qm+CYYJRwkCCMAIjAhoCEkIJQf4B8QHjwdbByoG+gbJBpgGZwY2BgMF1gW5BbIFtAWiBWcFCwSyBHcEWwRJBCoD+gPBA4sDXgM7Ax8DBQLpAsgCowJ3AkICBwHTAbEBngGOAXcBWgE7ARsA8wDEAJMAagBHACYAA//h/8T/qf+K/2j/R/8s/xT++P7U/qn+f/5e/kX+K/4L/eX9xv23/bb9tf2r/Zv9jP1//XH9Yf1Y/Vr9ZP1s/W39Z/1i/V79Xf1a/VL9QP0q/SD9NP1k/ZX9p/2U/Xf9a/10/YD9ff1s/V/9Xf1j/WX9X/1W/VP9Uv1N/UL9P/1d/aL99/4w/iz98P2d/Vf9LP0V/Qb8+Pzq/N381vzb/Oz8/v0G/QT9BP0R/Sj9Pv1H/UD9Mf0r/UL9fv3L/gH+Av3a/bb9tf3U/ff+CP4N/hL+HP4k/ij+LP4z/jj+N/4x/i/+MP4w/ij+Gv4O/gv+Ef4c/ib+KP4g/hb+Dv4L/gb9+/3t/d39zP24/av9r/3A/cz9wf2k/Yn9gP2A/Xf9Xv0+/SX9Efz9/Ob80fzC/LP8n/yF/Gz8V/xD/Cr8Dfvy+9v7x/uz+537hvtz+2b7XvtV+0r7Pfsz+yz7IvsT+wD67/rg+tH6wPqu+p36jfp7+mn6WPpH+jX6H/oJ+fX54vnN+bn5qvmh+Zb5gPlg+T/5IPkC+OP4xPin+Ir4Z/g8+A/35vfA95n3cPdL9yz3D/bw9s32rfaP9m72SvYi9fv12PW19ZP1dPVV9TX1E/Tw9ND0sfSR9HD0UfQz9Bfz+/Pf88Tzp/OG82PzQvMk8wXy5PLF8qvyk/J08kzyIfH/8eXxz/G18ZnxfPFd8TfxDvDm8MPwpfCI8GrwTPAx8Bfv/u/m78/vuO+g74vve+9v72fvY+9g71nvS+847ybvGO8M7v/u9O7u7u/u8e7x7vHu9u797wDu/O717vbvAe8Q7xzvJO8o7y3vOe9N72Tvd++E74/voO+z78Tvze/W7+jwAPAY8CrwOfBO8HLwsfEX8Z3yHPJj8lryHPHf8cTxx/HX8ezyDvJC8oDyvPL28yzzWvN584/zqvPV9Ab0LvRJ9Gr0pvUF9Xj15/Y59l/2XPZJ9kP2V/Zx9nr2bvZm9nj2mvaw9qv2nvao9tL3Bfcn9zH3Lvco9xv3A/bl9sv2vPa29rf2v/bQ9uL26fbj9tX2xvau9n/2NfXg9Zj1afVR9UD1LPUR9PL02PTK9Mr01PTd9OL05PTo9O/0+PUD9RP1KfVC9VX1YfVm9Wn1bfVx9Xf1gPWH9Yv1jPWQ9Zj1nvWc9ZL1h/WC9YH1fPVv9V71T/VH9Uj1T/VV9VD1OvUa9QD09fT39Pr09vTn9NT0wvS19K30qPSk9J/0lPSA9Gb0TfQ99DP0IPP287DzWfMC8rLyZfIY8cjxePEu8PPwzPCu8HjwCe9g7qbuFO3S7djt/u4e7iPuEe3z7dXtue2b7XHtNuzt7KDsWOwa6+zrzuu866/ro+uc65/rreu968/r4+wB7CfsU+yA7LDs4u0X7UrteO2e7b3t1u3s7gPuG+4y7knuYu597pnus+7M7unvCu8n7z7vTu9e723vee+B74vvmu+s77nvv+/I79vv9vAU8DTwV/CA8Krw0PDz8RjxQPFr8ZTxuvHj8hHyQvJ08qjy3/Mb81jzlfPQ9Av0SPSJ9Mv1EPVY9aX19fZI9pz28fdJ96L39/hG+JX47flM+a36Cvpl+sT7J/uH++D8NfyN/Oz9UP20/hb+eP7a/z3/n//+AFkAsgEOAXMB4QJOArADBQNUA6MD8QQ1BGwEmwTLBP8FNQVrBaEF2AYQBkUGdAagBswG+QcnB1YHhAeyB94ICQgyCFkIfwioCNEI+wkjCUgJbQmSCbgJ3goFCi0KUgp1CpYKuwrjCwcLIgs3C0wLYQtwC3oLhAuRC5wLpwvJDCcMvw1TDYcNMwyEC90Lgwt4C5QLsgvDC8ULvAuuC6QLowukC5wLjwuIC44LnAupC7kL1Av4DBwMOgxZDIEMqwzNDOIM9A0JDRwNJw0uDUANYw2IDZwNnQ2fDbQN3w4QDjwOZA6MDrMOzA7QDscOxQ7XDvgPFw8zD1oPpBAVEJgRCRFEETkQ8RCGEBsPyQ+bD5EPrQ/0EFsQyBEjEW0RuhIVEmkSkxKGElYSIhH5EdwRyRHCEcMRwBG1EasRrhG4EbARiBFMERYQ7RDJEJkQXBAZD9YPlQ9YDyQO9g7HDpMOZQ5ADh0N7A2kDNgMfgwsC94LlgteCzwLKwsjCyELKAsuCygLEQryCtYKvQqfCn4KaQpqCnkKhgqECnYKaQpnCnIKggqLCocKdwpmClwKWwphCnMKlAq+CuEK8Qr0CvsLEAstC0gLYAt6C5YLrwvHC+UMCQwlDCwMHwwNDAML/QvyC+ELzwvDC7sLsQuiC44LdQtcC0gLPws8Cy4LDArYCp8Kawo+ChcJ9QnXCboJmgl2CVEJKgkFCOkI3AjdCOQI6QjrCOgI2Qi5CIsIXgg8CCAIAAfdB7wHnwd4BzsG8AarBncGVAY+BjMGNwZEBlMGZAZ3BogGigZ3BlYGNQYYBfwF7wYGBkQGfgZ9BjUF3wXQBiQGpQbuBr0GJgV/BTIFcwYlBu4HcweQB2IHIQbsBr0GhAZABgEFzQWYBVUFAgSrBF8EIAPpA7cDiwNkAzwDCwLOAo0CUgIjAf0B1wGpAWsBIADOAH8AOP/y/6f/U/76/qT+Tv3x/Yv9IPy5/Fr7/vuh+0X68fqi+k/59PmY+Ub5BvjU+Kj4fvhc+E74ZPil+Rf5tvp4+0H76fxG/Er8F/vm+9v77fv//Aj8HfxP/I78vvzd/Qj9WP23/fb+Af3w/eH9wf1c/Jf7ovrM+kL57fmi+Vr5Ovlj+b/6DvoW+cr5S/jH+Fz4EPfc97L3jvdw9133Tvcv9uj2b/XX9UH0yPRy9Df0H/Q79I/08PUO9Kbzr/Jo8Tbwa/Ar8Gfw9fGa8hnyOPHR8OXvpO5c7VbsuOx17GTsaOx57J3s1O0J7SztQe1Y7XztqO3L7d3t3+3U7b3tme1r7TrtBezM7JbsaOw77ADrtety61XrXutt62zrb+ue7AHsfOzz7X3uU++M8P3yWfNv9D/04vVl9cn2DPYp9hj12fWD9Tv1F/UM9P703/S49JX0dfRU9Dj0LvQy9DL0HfP388/zqvN98z7y/fLV8s3y0PLC8p7yf/J58ojyk/KR8pHypfLJ8u7zDPMo80TzUPNG8zTzKvMP8qDxuPCL75HvKu9X78/wTPC78R7xbfGf8cHx7fIs8mrylfKw8sry6/MW81LzofPq9An0AfQB9C30VvQT8zDx9/Dw8GHwGO/B70nu6u7d7xbvW++J76rv1fAO8ETwbvCX8NbxOPG48kjy1fNY88/0OvSY9On1NPWG9eT2R/al9vX3Nfdb92P3WfdX93H3pPff+B74avjM+Tn5pPoN+oL7Avt6+9n8Ivxq/L39E/1l/br+Hv6M/vf/WP+7ACgAmgEBAVYBmwHaAhcCVAKXAucDQgOeA/UERgSVBOgFQgWmBhAGcwbFBwoHTwedB+0INwh5CLkI9gkwCWUJnwnmCjYKhwrRCxILRgtoC3kLhgugC8UL5QvvC+QLzwuuC3ALBQpwCdIJWgkrCUoJoQoSCosLDAucDDIMug0jDWsNnw3DDdgN3w3mDf0OKQ5dDokOqQ7EDuAO/g8bDzUPTQ9nD4gPuA/3EDsQcBCIEIoQhxB6EDkPkg6PDYgM3wyYDEQLYQnwCJIICQiWCcgK6wuUC9QL7QwJDCIMJgwTC+8LvQt7CzAK5AqcClcKEwnUCZsJYQkjCOUIsQiNCHIIUwgqB/oHyAeYB2gHNwcEBs8GmgZkBjAGBQXuBe0F7wXUBYwFJgTDBIEEYQRRBDwEFwPiA6UDbANBAykDHAMOAvQCzgKZAlkCFQHbAbcBpQGXAYIBaQFQATYBFQDrAMIAoQCGAGgARQAf//3/3v+9/5r/d/9V/zL/Dv7n/sL+o/6K/nb+X/4//hj99v3i/dz92P3K/bP9n/2U/Yv9f/1x/Wj9av1x/Xb9df1x/Wz9aP1j/Vn9R/02/TX9T/14/Zb9lP17/Wn9c/2Q/af9p/2Y/Yr9h/2H/YL9ef1w/Wz9bP1o/Vz9U/1d/Yb9xv37/gb95v21/ZD9gP12/Wb9UP09/S79I/0X/Q39B/0J/RD9Hf0v/UT9WP1l/WX9Wv1W/Xf9yf4t/mv+Yf4k/e396v4R/jz+Tv5P/k/+V/5f/mL+Zv5u/nj+fv5//oD+gv6B/nr+bv5i/ln+WP5d/mj+b/5v/mb+W/5S/kn+PP4u/iL+FP4A/e396f33/gX9/f3g/cL9tv25/bb9of2A/WH9SP0x/Rn9A/zy/OH8zfyz/Jr8hPxu/Fb8O/wf/AT77fvY+8X7sfue+4/7hPt5+2v7W/tL+z37L/se+wv6+frr+t36zfq/+rP6qfqd+o/6gPpy+mH6Svow+hb5//np+dP5wfmy+aL5jPlw+VL5NPkU+PD4zviz+Jz4gPha+DD4C/fp98P3mfdw90/3MfcQ9ur2xfai9n/2V/Yu9gb14/XE9aT1g/Vi9UP1JPUG9Oj0yfSo9IX0ZPRE9CT0B/Pu89bzufOV827zS/Mv8xTy9/LY8rvynvJ58lDyKPIK8fTx3fHB8aTxhfFi8TjxDfDl8MTwpPCD8GTwSvA08Bvv/e/f78Lvp++O73rva+9i71zvWO9V70zvOu8i7wzu/+757vHu5u7c7tnu2+7f7uDu4+7n7unu5e7h7uLu6u727wDvB+8N7xjvKu9B71fvZ+9y74Dvl++w78Dvwe+8773vyO/a7/HwDfAt8E3wdvC78Snxq/IW8kTyOPIS8e3x1PHI8c/x8vIn8l/ykPK/8vTzKPNQ82rzhfOv8+L0D/Qx9FX0kPTr9WD12fY69m32c/Zm9mf2gPaa9pj2e/Zh9mn2i/ap9q/2qPav9sz28fcK9xX3Hvcs9zj3N/cl9wz28fba9sr2x/bP9tn22vbN9rn2oPZ99kb1/vW09Xv1WfVC9Sr1DPTv9Nv00vTT9Nn04/Tq9PH0+fUF9RX1KfVC9V71efWP9Z31pvWt9bL1tPW19bj1vfXC9cP1xfXO9d317PXy9e/16PXf9c71sfWM9Wj1TvVA9T/1SPVX9WH1XPVK9TP1H/UQ9QP09vTn9Nf0yPS99LX0rvSn9Jz0jfR39Fz0QvQ19DH0J/QB87jzXPME8rjyc/It8eTxmvFW8R7w8/DM8IbwAu9F7oLt+u3O7enuF+4y7jDuGO327dPttu2e7YLtV+0Z7M7sf+w26/3r2evG67rrq+ud65frn+uy68fr3Ov37BnsQ+xw7J7szez97SvtV+1/7aDtue3N7eDt9u4O7ifuQe5b7nPuiO6c7rTu0+7w7wbvFO8f7yrvNO8+70nvWu9s73rvhe+U76vvyO/l8ALwJPBN8HjwnvC+8OLxDfE98WnxkPG18d7yDfJC8nrys/Lt8ybzYPOb89n0G/Rh9Kb06vUu9Xj1yvYh9nf2zPcg93b3y/gb+Gv4w/kj+YX54vo7+pf6+Pta+7b8Dfxl/MT9Kf2N/e7+T/6y/xj/e//ZADIAjADsAVQBwAIqAokC3AMpA3IDtgPwBCEETgR+BLME7AUkBVoFjQXABfEGIAZNBnYGnwbJBvUHIwdRB38HqwfWB/8IKAhTCIEIrQjXCP8JKAlRCXgJmwnBCesKFQo5ClUKcgqWCr8K4Ar2CwULFwsqCz4LUQtjC3ELfAuVC9EMLwyGDJsMVwvdC3ILPwtBC1gLbQt8C4ULhguBC34LfQt8C3ULbAtrC3QLfwuJC5oLtQvXC/YMFAw3DGMMjAyoDLsMzwzlDPMM9gz+DRoNRA1lDXQNhA2sDeoOIQ47DkAOSg5jDn0Ogw52DmwOcg6DDpAOmw7CDyYPxhB3EP8ROBEhENoQgBArD+UPug+vD8MP9BA8EJAQ5BEwEXURuBHyEgwR7hGfEUAQ9RDOEMYQzxDhEPEQ+BD3EPcRABEIEQEQ6BDKELYQpRCHEFQQEg/ND4oPSw8UDukOwA6JDkUOBQ3XDbMNgQ00DHEMIAvYC5MLUQsfCwMK+Qr4CvwLCAsVCxULBgrvCtwKyAqtCo4KeAp2CoMKjwqPCoYKfAp4Cn0KjAqdCqIKlwqECnoKfwqRCqsKywruCwcLDQsHCwQLEQsmCzoLSAtbC3cLmQu6C9kL9gwMDBYMEwwLDAcMBgwFDAIL+wvwC94LyAuyC5wLgwtnC08LQws9CywLBArJCokKUQokCf4J2gm4CZYJdQlVCTQJDwjpCMwIxQjUCOsI+gj6COsIzQieCGcINggSB/YH1AerB4IHWwcvBvUGtAZ4BkoGKQYUBg4GGAYtBkMGWQZwBoQGhQZqBj8GFwX6BeoF6QYEBjwGbwZwBiwFzQWbBcYGMwaKBm8F0wUJBJ8E8QXkBvQHnAe1B3kHNwcMBt4GlwZABfYFwQWSBVMFBgS1BGsEKQPvA74DlQNvA0QDEwLcAqICZgIuAf4B0gGhAWEBEwDBAHYANf/z/6j/VP7//q7+Xf4F/aL9O/zW/Hf8Gvu8+2D7Cfqx+lT57/mL+TT48fi++I74W/gl9/j36PgH+F346fmb+l37DvuL+8L7vPud+4L7dPtu+3D7jPvH/A/8Sfxz/Kr9BP1z/cv97P3g/b/9i/0s/JT72vsn+pD6DPmP+Sb4+fke+X753Pn9+cz5XPjW+Fj38/eo93D3Rvcg9v723Pay9nL2EPWU9Rf0sfRo9DX0HvQ29IH01PTX9ELzGvG18ILvzu+k7+jwb/EH8XXxf/EI8CDvAO3r7RXslOxb7E7sV+xy7J7s1u0G7SPtMu1G7WftjO2p7bvtx+3L7bvtk+1e7S3s/ezG7IfsT+wh6+zrn+tE6vfqxOqY6mTqQOpZ6rvrPOu07DHs7+4O72PwofGc8mfzJvPc9HL0zfTu9Ob00vTL9Nz0+vUG9Oz0uPSJ9G30WPQ59Bf0B/QL9BH0BfPm88PzovN38zjy9PLE8rTytPKu8p7ylvKj8rvyyvLL8s/y5vMH8yDzNPNW84zzvPPK87rzpvOB8v/x4fBX7vzuYe6X7zbvzPAz8IXw2PEp8W3xrvH38kPyg/Kv8sny3fL68zTzjfPk9A70CfQF9Cr0T/QP8z3yIvFB8NPwnPBA77LvNO8J7yrvYe+J76nv1vAT8FTwjvDL8R7xkvIh8rfzOvOh8/b0R/Sa9On1MvWA9d32Rfaq9wH3Rfdy94X3hveL96X31fgM+Ef4kPjv+Vn5w/os+qP7Jvuh+/78Q/yG/NX9Kv1//df+Of6i/wf/Y//FADUAqwEZAXUBxAIKAkUCfQK9Aw8DbgPJBBcEXwStBQUFYgXCBiUGhgbcBygHcAe9CAoITwiLCMUJBAlHCYoJzQoVCmMKsgr5CzELVwtrC3oLjwuyC9gL8AvxC9wLuAt7CxcKiAnnCWMJIwkzCYAJ6gpaCtALUgvdDGEM0A0rDXkNvA3qDfoN9Q31DgwOOA5pDpIOsg7PDu0PDg8vD0sPYg94D5YPxxAGEEUQcxCJEJAQkxCJEEwPsw7HDdkNUw1LDVMMyQtyCc0IuAi5CZkKsQt3C9UL/gwdDDgMQQw1DBcL6AurC2kLKQrpCpwKRQnzCbUJhQlVCR0I5Ai4CJgIeghVCCsH/wfVB6YHcQc4BwAGygaWBmIGNwYdBhEGAAXUBYQFIgTJBI0EaQRSBDwEHwP0A7wDgQNTAz0DOAMwAxoC8gK4AnECJgHmAb4BqgGcAYoBdAFiAVEBPAEgAQAA4wDIAKkAgwBaADIADP/n/8P/n/92/0n/G/71/tr+xv6y/p3+h/5u/k7+Kv4N/fz98f3h/cn9s/2m/aD9mf2N/X/9dv1y/W/9bf1r/Wr9a/1p/WL9U/1F/UP9Vf1v/Xv9c/1k/Wf9hf2q/b79uv2s/aT9pf2l/aL9nf2b/Zz9nv2e/Zj9iv1+/YD9lP2r/bP9rf2s/cP96v4H/gz+AP3y/d/9tv10/S/9C/0V/T39Zf19/Yj9kf2a/Zr9i/2C/Z/97v5O/ob+eP4//hb+I/5W/oP+kv6P/pD+mv6j/qX+pv6t/rn+wv7G/sj+yv7I/sT+v/65/rH+p/6k/qr+tf67/rb+qv6e/pL+hf57/nL+af5W/j7+LP4q/iz+I/4M/fb99P3+/gH97f3K/af9jP10/Vv9Q/0u/Rv9Bfzt/NL8t/yc/IL8avxR/Df8HvwH+/T74vvO+7v7q/ud+437evtn+1j7S/s8+yr7GvsM+wH69frq+uP63PrT+sT6s/qi+o76cvpR+jD6E/n6+eP5zvm6+aX5jvl1+V/5SPkr+Qn46PjO+Ln4n/h7+FP4MPgQ9+z3wPeV93D3UPct9wb23va59pP2afY+9hb19vXZ9br1mfV49Vn1O/Uf9QD03vS69Jf0dfRV9DX0F/P/8+fzyfOi83rzWfM/8yfzCvLp8sjypvJ/8lfyNPIb8gXx6/HL8anxiPFi8TjxDvDq8Mrwp/CA8F7wRvAy8Brv+u/W77XvmO9/723vY+9d71jvUe9I7zrvJe8K7vHu5O7i7uDu2e7P7svuzO7P7tDu0O7R7tHu0O7P7tDu0+7X7tvu4e7t7v/vF+8v70PvT+9W72Tvf++h77jvuu+t76Dvnu+p78Dv4vAI8CrwSvB48MbxMvGg8fXyJPIw8h7x8/HF8bLxzfII8kbyc/KW8r/y8fMi80rzcPOc883z+PQd9Eb0gPTV9UH1tvYb9lr2b/Zy9oD2oPa59rD2iPZi9l32evad9rH2vPbN9ur3BfcR9xP3Hfc491v3cfdt91D3JPb49tT2wfa/9sX2xva79qf2ivZh9ir16vWt9X31WfU29Q705vTN9Mf00fTf9Or08/T99Qv1HfUx9Uf1YPV+9Z71t/XG9c311PXf9en17PXq9er17/X29f32BfYV9ir2PfZD9jv2JvYD9cz1h/VF9Rf1AfT99QP1E/Us9Un1X/Vl9Vn1QPUj9Qz0/fT09On02/TO9MX0vvSz9KT0kfR99Gf0U/RK9Ev0R/Qh89Lza/ML8sDygvJG8gbxyPGN8VfxJfDp8IXv4+8R7k/t3e3M7fbuIO4t7iPuDu3z7dPts+2b7YTtYe0s7OjsnuxW7Bfr6OvM677rtOup66Lrp+u268nr2uvv7AzsMuxe7Izsu+zp7RPtOu1d7X7tmO2u7cLt2e3x7gnuIe457lDuZO527ozupe697s3u1u7c7uPu7u747wTvEu8j7zTvR+9f73vvl++y78zv7PAU8D7wY/CF8Kzw2vEN8T3xZfGK8bDx3fIS8kzyh/K/8vbzLfNo86rz8fQ79IT0yPUI9Uv1mPXu9kX2mfbs90H3mffu+EP4mvj4+Vj5tPoL+mT6w/sl+4X74Pw8/J79A/1n/cf+Jv6K/u7/T/+qAAMAYQDHATEBmQH6AlMCpALwAzQDcAOlA9UEBQQ4BG8EpwTdBQ8FPQVrBZoFygX5BiMGSQZvBpcGwwbwBx8HTgd7B6cH0ggACC8IXQiICLEI2wkGCS4JUAlyCZkJwwnoCgQKHgpACmkKjgqoCroKzgroCwMLGwswC0ALTAtWC2YLgAuUC4wLYwsvCw4LCgsWCyILKws5C0sLWAtcC1gLVAtPC0sLSQtOC1YLXAtiC3MLkQuzC9EL7QwSDD0MYgx6DI4Mpgy+DMoMzAzaDPwNJA0/DV0Now4ZDosOtg6KDj0OFA4hDj0OQg4yDigOMg49DjwORg6QDzgQGxDnEU0ROxDdEHQQJw/6D+EP1g/fD/0QKhBcEIwQvhDzESkRVhFmEUoRAhChEEgQEA/8EAIQFxAxEEcQUxBVEFYQWhBdEFkQTxBLEE0QRxAqD/MPsQ9vDy8O9A7GDqUOhA5LDfsNrA1zDUgNFAzIDBkL2AuhC2cLLAr8CuEK1grVCt0K8AsFCwwLAgryCuUK2QrFCqgKkAqJCo8KlgqYCpMKigqCCoIKlAqwCsMKvwqsCqIKrgrMCuwLCAscCycLIgsVCwwLEQsgCywLNAtBC1wLgQunC8UL2wvtC/gL/Av7C/sMAQwNDB4MJwwhDAYL4Qu/C6MLiQttC1QLRQs6CyQK9Qq0CnAKNwoMCeoJygmmCX8JVwkzCRAI6wjFCKkIpgi7CNgI6QjmCNIIsAiBCE0IHwf7B9sHsAd5B0MHFAbrBr0GigZZBjAGDgX3Be8F+QYPBigGPwZWBmgGaAZQBikGBAXtBeQF6AX9BiEGQwZEBhAFtQVjBU4FggXJBcQFRASIBCgEmgXIBxQH3AfzB6cHWwcsBvcGogY7BecFsgWGBVAFDgTKBIcERwQNA94DtwOPA18DKALvArYCeQI5Af0BxgGNAUgA+QCpAGQAKf/u/6r/XP8J/rb+Yv4K/a39Tfzs/Iz8LPvO+3L7GPq6+lX56/mE+Sn44Pim+HL4Off397T3hfeG98T4O/jY+Yb6MfrC+yD7QPsr+v/61fq9+r363PsY+2H7pvvj/CT8e/zi/T39bP1j/S382/x9/BX7pPsn+pr5/flm+PT4yfjr+UD5lfm7+Z35RfjL+EP3u/c+9tj2kPZe9jX2C/Xh9bT1fPU39Oz0qfR19En0LvQ59HX0tvSg8+nyoPEw8BHvge9x77LwGfCD8MTwr/Ax72TufO2n7QLsluxh7FbsaOyL7Lrs7e0X7S3tOO1J7WXthO2c7a7tv+3I7bfthu1K7Rns8uy/7HjsLuvz67/rd+sW6rLqXOoP6cPpjemS6dTqKepv6r7rUOw67UTuK+7j76DwivGE8kfyqfK98sLy8vNi8/f0evS79LX0kPR89IL0iPRy9En0LvQw9D70PfQk8//z1/Os83fzO/MG8uTy1/LZ8uHy8fMG8xnzIfMl8zTzVvN484bzhvOY89L0GfRD9En0Q/Qm85vyTfBm7qTtzu4M7tfvgu/S7/zwQvCp8Q/xYPGn8fPyQ/KH8rXyz/Lt8yjzgvPa9ATz//P89B70QfQM81nybPG58WfxN/DV8Dnvqe9g713vde+M76rv3fAm8Hfwy/Em8ZDyDfKY8x/zjvPe9Bz0YPSu9P/1SfWV9e/2Vva79xD3VfeI96f3tffA99r4Bfg4+HD4uPkX+YP57/pb+tX7WvvS/Cj8Yvyb/Of9P/2a/fb+V/67/xn/c//TAEQAuwEsAY8B5wI0AnQCrgLyA0kDqQP9BEAEfwTKBSMFfwXaBjgGmgb6B1EHnwfpCDAIcAiqCOMJJAlqCbAJ9gpACpIK4wsoC1QLbAt8C5ELsQvUC+sL7wvjC80LpwtfCuUKRQmqCUkJPwmECfEKYgrLCzkLswwwDJsM7A0zDX8NyQ37DggOAQ4EDh0ORA5sDpIOug7iDwcPKA9ID2QPeA+HD6APzhAMEEcQchCNEJ8QqhCjEGoP4Q8PDjwN1Q4HDnIOWA1BC3UJ1wktCY4KdQtKC84MFAw8DFMMVgxJDC0MAQvLC5YLZwszCuYKggoiCeAJtwmOCVUJFAjeCLsIngh6CFIILAgHB9wHpQdoBy4G+gbHBpMGYQY5BhkF8wW4BWcFFQTTBKYEggReBDoEGQP3A8wDmgNxA1sDVANKAzIDCgLSAosCPQH3AcoBtQGoAZkBhgF3AW8BZwFZAUMBKQEIAOIAuACNAGMAOAAO/+j/w/+W/2H/L/8N/v3+8v7e/sL+qP6T/nv+Wv42/hz+DP39/en90P28/bD9q/2m/Z79kf2B/W/9Yv1d/V/9Zf1q/Wj9Xv1T/VD9Wf1m/Wr9ZP1h/XH9kv2u/bT9qv2i/af9tf3A/cf9zP3S/dT91f3W/dX9yf2w/ZX9hv2B/YD9iP2r/fP+TP6V/r/+1/7k/tP+hf4D/Yf9Uv1z/bz98/3+/fH95/3j/df9vP2m/bX98f47/mT+W/47/jP+V/6O/rX+wP7A/sr+3f7q/uz+6f7t/vj/A/8L/xH/E/8S/xD/Ef8T/xL/CP7+/v3/A/8H/wH+9f7o/tz+z/7C/rj+sP6k/pD+ev5s/mL+VP5B/jb+O/5J/kz+N/4U/fD91f29/aT9iv1w/Vj9Qv0q/RH89PzV/Lj8oPyL/HT8W/xC/Cz8F/wA++n71fvE+7L7nfuJ+3z7dPtq+137T/tD+zn7L/sj+xn7EPsD+vD62frC+qr6i/po+kT6JvoN+ff54vnM+bX5nPmF+XL5YflL+S35D/j1+N74wvic+HP4T/gv+Ar34Pez9433a/dI9yL2+/bV9q72gvZX9jD2EfX09db1tPWT9XT1VvU39RT07fTG9KL0gfRi9EP0J/QO8/Tz1POs84XzZfNN8zTzFfLy8s/yq/KF8l/yQPIq8hTx9/HT8a7xivFk8TvxFfD18NXwrvCC8FzwQfAs8BPv8u/O763vj+9172TvXe9b71XvR+827yPvDe707tzu0O7P7tDuze7H7sPuwu7C7sDuve667rnuue657rvuu+657rnuv+7P7uTu++8S7yXvMO807z3vVu9775vvp++f75Pvke+b763vwu/b7/bwGvBO8JTw5/E98ZDx4fIh8jjyGPHX8abxrfHo8i/yY/KC8p/yyfL98zTzaPOW873z3/QE9Df0ffTV9Tr1o/YB9kT2Z/Z69pL2tfbN9sP2mfZs9lz2b/aU9rb21Pb09xb3Lfcv9yf3K/dK93n3nPee9333R/cP9uH2xPa49rf2tPaq9pP2cfZF9hH12/Wp9X31UvUj9PH0yfS39L700fTl9PX1A/UW9S/1SfVg9XP1hvWd9bf1zfXb9eb18/YF9hP2GfYY9hr2JPYy9j/2S/Za9mv2dPZv9lb2JvXd9Xn1DfS19If0gvSW9LH0z/T29ST1T/Vq9Wz1WPU89Sn1JPUj9Rj1AvTs9OD02/TR9L70qfSY9Ij0dvRr9Gv0ZvRB8+zzfPMU8sjykfJe8inx9PG/8YnxUPEH8JXv5u8O7lDt6+3o7hHuK+4m7hTuBu337d3tvO2e7YTtYe0t7O7sruxw7DHr9+vN67nrsuuv667rsuu868jr1evo7APsJexO7Hvsq+zb7QTtJO1A7Vztdu2Q7ajtwO3X7ezuAO4V7ivuP+5Q7mDuce6B7o3ulO6a7qPure617rzuxu7U7unvA+8g7z7vWu9175Hvs+/Z8ADwJvBL8HXwo/DU8QXxM/Ff8YrxuPHr8iPyXPKU8snzAfM984DzyPQT9F70o/Ti9SL1afW69g/2Y/a29wz3ZvfA+Bn4cvjN+Sr5hfnc+jP6j/rv+0/7rvwO/HL82P07/Zv9/P5e/sD/Hf91/88AMgCeAQoBbAHDAhQCYwKuAu8DJQNVA4YDuQPvBCQEWQSLBLoE6AUUBUIFcwWjBc0F8wYXBj0GZwaUBsIG8gcjB1EHfgerB9oICAgyCFkIgQitCNkI/gkfCUIJaQmPCbAJzgnxChoKQgphCnkKlAqyCs8K5gr3CwYLEAsRCwkK/ArrCtcKxAq9CsgK3ArpCusK7wsACxkLLQszCzALKQskCyILJAsrCzELMws4C0oLawuOC6oLxAvkDAoMKgxADFgMdgyRDJ8MqQzDDO0NEQ0rDWMN6A6oD0QPYg8JDp4Oeg6dDroOnQ5VDhoOBA4FDhIORQ7JD5wQgBEYETMQ5BB1ECUQBxAFEAMP+w/9EBAQLBBDEFAQYRB+EKIQtxCnEHEQIw/bD6wPlw+SD5QPmg+lD7IPug+6D7kPvA/BD8YPyw/UD9oP0Q+tD3UPOQ7/DsUOjg5lDk0OMw4ADbANWw0YDOUMrAxkC8oLmwt0C0gLFArlCsUKtQqxCr4K3Ar8Cw0LCQr8CvYK8grkCsoKrwqgCp4KogqkCqAKlgqJCogKngrHCucK6ArSCsQK0wr3CxoLLQszCzILKQsbCxALEQsbCyULKQsxC0YLaAuNC6kLvQvMC9gL4AvjC+cL8gwJDCcMPgw8DB0L7gvCC6MLiwtyC1sLSQs4CxwK6gqmCl8KJAn6CdwJwgmiCXoJTAkgCPoI1QiyCJcIkQigCLUIwAi7CKgIiwhiCDMICAfiB7oHhAc/Bv0GywapBokGZAY8BhUF9AXbBc4F0wXnBgAGGAYtBjsGPQYuBhEF8gXcBdQF2QXnBfgGBwYGBeYFnwU+BPEE3wT6BPsEoQQQA9MEZwW5ByoICQgjB84Hcwc0BvAGjAYfBcwFnAV4BU0FFwTeBKEEYQQlA/cD0wOsA3kDPAL/AsQChgJDAgABwQGBATkA6gCcAFgAH//q/7D/bf8e/sb+af4N/bP9WPz7/Jr8Ofvb+4D7I/q/+lX56vmE+Sj41/iP+Ez4Bve392X3JPcQ9zv3m/gf+LT5UPnj+lL6hfp4+kf6GfoG+g76KvpU+or6yfsH+0P7hfvV/Cv8bPx2/Dz72Pt0+y76/Pq8+lH5wfky+M/4rfjG+QD5OflU+UP5B/ip+Cv3jPbb9jn1xPV/9VX1MfUP9PL02fS69JL0aPRF9CT0DvQY9E70hvRj85jyPPDG77fvRe9M74vv1vAU8Crv+++D7uDuN+2f7SDswOyK7IDsl+y97OjtFO067U/tVu1f7XLtje2k7bbtxu3K7bHteO017QXs4+yz7GbsDuvD64XrOurX6mrqBemo6UzpAujh6Ojo8+j16RDpeuov6uzrf+wD7Mft6e8k8Arwa/B38I7w9vGx8orzQvO28/T0KvR79Nj1FfUW9O30w/Su9Kf0l/Ry9EP0GfP489nzsPN+81PzRPNV83bzkPOd86PzqfO1883z8vQT9Bjz//Ps9AT0Q/SE9K/0zfTG9D3yz/Ce7oLtbu2n7pLvVu+d767v7vBr8OjxOPFo8Z/x7vJF8ovyvfLr8y3zg/PP8/Hz7fPu9A70KvP482Dyo/Ie8ebxvPFZ8L7wKe/N76nvoe+q78vwCvBd8L3xKPGe8hnykvMI83Xz0PQV9E70jvTd9S71evXF9hz2e/bU9x73XPeS97332Pfs+Aj4Mfhi+Jn44flB+bD6IPqU+xL7l/wI/FH8fPyq/PP9Uf2z/hL+cP7P/yn/gv/iAFEAyAE7AaQCBQJbAqIC4AMmA34D3QQuBG0EpwTwBUYFoAX4BlMGtwceB3sHzAgTCFcIlwjUCRAJUAmTCdYKHgpuCscLGwtZC3wLjQuhC8EL5Qv7C/cL4QvJC7YLmQtVCtoKOwmqCV8JcwnYCl0K3AtKC7UMKQyVDOMNEw0/DXoNvQ3uDf8OBA4RDioORQ5hDokOvg70Dx0POw9ZD3gPjg+bD64P1xAREEgQcBCPEKsQwBC9EI0QGg9lDqoOWA61D3sP3Q8kDVkLTwn+CcgKXwssC84MMAxiDHIMawxZDD8MFwvjC64LhAtZCxQKtwpbCh0J9QnICYQJOAj9CNgIugiVCGwISQgtCAsH2geeB2EHKgb1BrwGgQZNBiAF7wWuBV8FFwTmBMYEpgR5BEkEIAP/A94DtwOTA3oDagNYAz0DFwLmAqYCWgITAeQBzgHDAbUBowGVAY4BiwGFAXcBXwE7AQ8A4QC2AIwAYQA1AAz/5f+4/4P/Uv82/y7/Jv8P/uv+y/61/qH+hP5g/kH+Lv4j/hL9+P3a/cP9t/21/bb9rv2Z/X39ZP1Y/Vn9X/1j/WP9X/1a/Vn9YP1r/XD9bf1t/Xj9jP2Y/ZX9jP2Q/aP9vf3T/eX99/4D/gX+AP38/fr97v3S/bD9mP2M/Yn9k/28/gz+cP7L/xX/XP+c/6r/Xv7K/kH+E/5E/o7+qv6Q/mn+U/5E/iT97/3G/cf98P4i/jr+Of44/lD+gv6z/s7+1f7d/vP/D/8i/yX/I/8k/y7/PP9N/1z/Z/9o/2T/ZP9r/3H/bf9j/1v/WP9U/0n/O/8v/yX/GP8F/vX+7P7m/t3+z/7B/rH+nv6L/oD+g/6M/or+dv5W/jf+Hf4G/ez90P20/Zj9f/1o/VP9Of0a/Pr83/zJ/LT8mvx+/GX8TPwz/Bn8BPvz++H7y/u3+6n7ovua+4/7g/t4+2/7ZPtU+0T7Nfsj+wv67/rT+rf6mvp6+lv6QPoq+hX6Afns+dX5u/mj+Y75fPlo+U/5M/kZ+P/43/i4+I74Z/hF+CD39/fO96j3hPdh9zv3Ffbw9sj2nfZz9k/2MPYR9e/1zPWr9Y31bvVL9ST0+vTR9Kz0ivRs9E/0NPQa8/7z3PO0843zbfNS8zbzFfLy8tDyrvKL8mjyS/I28iDyAfHb8bTxkPFr8UXxIPEB8ODwtvCH8F7wQPAn8Arv6O/G76jvjO9w71zvVO9T70vvOO8g7wvu+O7m7tbuzO7K7srux+7C7r3uuu617rDuq+6o7qTuoe6h7qPuo+6f7p7upu627snu2u7t7wDvD+8V7xfvJe9D72Xve++C74XvkO+h76nvou+Z76Tv2PAy8Jjw6/Eg8UvxivHg8ifyNfIH8crxtvHZ8hryVPJ58pPytfLo8ybzYvOQ86zzw/Po9Cn0g/Tp9U71rvYE9kf2cvaN9qb2xPbY9tD2qvZ79mL2bfaS9r/26vcS9zb3TPdP90b3R/di94/3s/e095D3Wfci9vf22fbE9rX2pvaR9nL2SfYb9ev1vfWS9Wf1OfUI9Nz0v/S49MP01/Ts9QD1GPU09VH1avV89Yj1kfWd9bD1xvXd9fT2DPYj9jT2PPY/9kj2WPZr9nj2fvaB9oH2efZh9jT17PWI9Qr0ifQo8/30B/Qx9GT0mfTP9Qj1PfVi9W/1Z/Vb9Vz1a/V29Wn1RvUi9RD1CvT+9OX0y/S49KX0jfR39G30aPRI8/nziPMe8tLyofJ38kryGPHj8anxbPEn8MHwHu9M7ozuI+4b7j3uS+447h/uFe4M7fTtzu2o7YjtX+0m7Ofsr+x87EXsCOvU67Xrquuq663rseu468Hrzuvk7AHsIuxE7GvsmezL7PftFu0u7UbtYe177ZPtqO267crt2u3s7gHuFO4h7inuMu487kbuUe5b7mbucO517nfufO6J7p/uu+7Z7vbvFO8071bve++f78Pv6PAR8D3wafCV8MPw9vEs8WDxkvHD8fnyMPJo8qDy2/Ma81zzn/Pl9Cz0cvS29Pj1PvWM9eD2M/aG9tz3NveS9+/4Svim+QL5XPmz+gj6YPq7+xn7efvb/D/8pP0I/Wr9zf4w/pD+6v9C/6EACQB4AOIBPQGMAdgCIwJqAqYC1wMFAzYDagOfA9EEAQQyBGMEkgS/BO0FHAVMBXYFnQXCBekGEwY+BmoGmgbMBvwHKQdVB4IHsAfaCAAIJAhPCH4IqwjRCPMJFQk6CV8JhAmrCdUJ/goiCkIKYQqBCpwKsAq9CsYKywrJCr0KrAqaCooKggqHCpgKqwq1CrgKvwrRCukK+wsACv4K/Ar6CvgK+Qr+CwILBAsLCx8LQAthC3sLkQuuC84L6QwADB0MQQxgDHMMiAywDOMNBw0hDWsOEg7zD6UP2g+7D7cQCRBzEIIQBw9BDpMONA4gDkwOwA98EE8Q6REOEMcQVxAHD/UQDBAfEBUP9w/hD+UP9Q/9D/cP8w/+EBQQHRAGD9IPlw9vD2APXg9ZD0sPOQ8uDywPKw8pDycPLA83D0cPVw9lD2gPVQ8tDvkOxQ6RDlkOHw3zDdoNxA2aDVUNCAzFDIsMTQwJC4ULZAtMCy0LAwrXCrIKmQqQCp0KwgrtCwgLDQsHCwcLCAr/CuUKxgqyCq4Kswq3CrQKpQqTCpAKrAreCwgLDgr3CuQK7gsOCyoLNAsxCyoLIgsZCxELEQsZCyELIwsnCzULTgttC4cLnAutC7oLxQvMC9IL3wv3DBcMMAwxDBUL5gu8C6ELkQt/C2kLUQs4CxcK5QqkCl0KHwnxCdMJvAmhCXsJTAkdCPUI0QiwCJUIiAiJCJAIkgiMCH4IZQg+CA4H3QeyB4MHRAb5BrMGhQZrBlgGPwYeBf4F4AXHBbcFtQXEBd0F9wYJBhIGEwYJBfQF1gW7Ba8FtwXGBdAFzwXKBb0FlAVCBNwEkwR8BG4ELgPMA7QEUgWeBwQH5AgLB8MHbAclBtQGaQX/BbYFjwVxBUsFHATqBLEEcAQyBAMD4QO9A4oDTQMOAtMClQJRAgsByAGFAT4A8ACiAFoAHP/o/7X/ev8u/tL+b/4Q/bf9X/0A/J38O/ve+4T7JPq9+k/55fmD+Sn41Ph/+Cf3zPdr9wz2wfai9rj2/vdj99r4Xvjn+Vj5lPmV+Xf5Yvlo+YD5lfmi+bT50/n5+hj6Nfpj+rH7Bfsx+xL6u/ph+jL6KfoX+df5b/kE+Lv4nvik+L341/jh+NL4qfhn+AD3Zvai9dr1QfTm9Lj0l/R59GH0TfQy9Azz6fPU88vzyvPe9BD0PfQO8z3x4fBx73DvDu8j72Pvn+/C773vg+8d7qXuNO3K7WLtB+zP7Mbs3ez87RztQe1l7Xztf+197YftoO287dHt3O3Y7bntf+087Qjs4eyr7Fjr9uue61Lq/+qZ6i7py+ls6QvosOhv6ELoE+fh59boHOih6STphOn06sjsCO1U7jjuku6l7tLvRu/t8JjxLPGz8k7zFfP59Mv1WPWS9Y71bvVB9Qr0zfSR9GP0SfRB9Dv0IvPx88TzvvPm9Bj0LvQn9CH0LPQ/9E30XvR39IL0YPQb8+Xz5/QZ9Fb0hvSJ9AbyofBy7kTtFe1C7jrvFu9w74/v4vB08PnxN/FE8VvxnfH58lHymfLc8yjzd/O0887z0PPZ8/f0BfPN80nytfJZ8jvyG/HA8TLwp/BH8BLv+e/+8CfwbvDF8SXxlvIW8pTzAvNh87j0B/RL9Ij0y/UZ9Wz1ufYE9lT2qPbz9zD3Z/ed98/38/gP+C74VviG+L35Bfll+db6Sfq/+z77wPwp/Gj8i/y2/QH9ZP3J/ib+gP7c/zj/lf/3AGYA2wFQAb8CJwKGAtMDEQNQA58D+ARMBJME1AUeBXEFxwYcBnUG1Qc4B5QH5ggwCHcIuwj8CTsJegm8CgMKUwqtCwgLVAuFC58LsgvPC/MMEgwWC/8L2gu6C6ELfws5CsYKNQmyCW8JjAn/CpwLNwu6DC8MoA0ADTkNSw1WDXQNpg3VDfUOEA4tDkUOUw5iDokOxw8EDyoPQg9iD4sPqQ+3D8UP6RAeEFAQdRCVELcQ0RDTEK8QVQ+/DxoO1A9OEF8RNhDnDzkM5QsCCjkKcAsfC8kMOwxvDHkMbwxmDF4MRQwSC9QLngtxCzkK8AqlCm0KPwoFCbMJXQkbCPAIywihCHcIWwhLCDUIDAfPB4sHSwcQBtMGmQZqBkcGHwXhBY4FPQUEBOQEyASfBGwEPwQcA/wD2QOzA5QDegNhA0UDJAL7AsMCfgI7AgwB8gHkAdYBxAG0AagBnwGWAYoBdwFXASoA+QDNAKUAfQBRACf//v/U/6b/fv9m/13/Uv83/xD+7f7W/sP+q/6M/m3+V/5H/jj+Iv4F/ef9zv3B/b/9u/2p/Yv9bv1f/Vv9Wv1X/VT9Uf1S/Vf9Yv1v/Xj9dv1v/W/9df17/Xv9ff2L/aX9wv3a/fL+DP4g/iX+Hv4U/gr9+v3f/cT9tf2z/bP9tv3N/gP+Sv6S/t//Rf+6AAf/9P+Q/y7/Ff86/1T/Of8B/uP+5/7e/qH+QP30/eH9+v4W/iL+Kv5C/nH+qP7R/uX+7f76/xT/Mv9J/1P/Vf9Y/1//b/+G/6H/tf+7/7f/tf+7/8T/xf+9/7P/qv+g/5L/g/94/3H/Zv9U/0H/NP8t/yj/IP8U/wT+7/7X/sX+vv6+/rr+q/6U/nz+Zv5O/jb+HP4B/eT9xv2r/Zb9gP1j/UH9Iv0I/PD81Py2/Jn8f/xl/Ez8OPwp/Br8Bvvw+9370PvF+7b7p/uc+5P7hvtz+1/7TPs5+yH7A/rj+sX6qPqO+nb6YPpN+jn6JPoP+fn54fnI+a/5mPmC+Wr5T/k0+Rj49/jQ+Kb4fvhZ+DP4DPfm98P3n/d591H3K/cF9t32tPaN9mz2TfYr9gT13/W99Z71ffVX9S/1BvTe9Lj0lfR29Fr0P/Qj9Abz5PO+85fzc/NU8zTzEvLw8tDysvKR8nDyVfI/8ijyCPHh8brxlvF08VDxLPEK8OXwuPCJ8GHwQ/Ao8Abv4e/A76Tvie9s71bvSu9E7zrvJe8N7vru7O7h7tfu0e7P7svuxe6+7rfur+6m7p7um+6Y7pPujO6J7ovujO6J7onuke6h7rDuu+7J7t/u9e7+7vru+u8M7yrvRe9W72jvgu+a75vve+9P70bvh/AR8LDxIPFD8TjxQPGD8enyNvJB8hnx8PHq8gryOfJj8oXyqPLX8xPzUfOA85rzrfPS9Bv0gfTx9Vz1u/YQ9lf2ivao9rz2zvba9tT2tfaK9m32c/aY9sv2+vcg90L3W/dn92b3afeA96f3xvfD95z3ZPcz9w/28vbW9rn2mvZ39k32IPXy9cj1oPV39Ur1HPTy9NP0xPTH9NX06PUA9Rz1OfVS9WP1bfV19X71h/WS9aT1v/Xf9gD2HPYx9j/2SPZR9l/2cvaC9oj2g/Z29mT2S/Yk9ev1nfU29Lv0QfPh87PzufPj9CD0Y/Sm9Ob1H/VM9Wb1cfV69ZH1tfXR9cv1pvV89WH1UvU89Rf08fTU9Lf0kPRq9Fj0V/RF9AHzlvMt8uPyt/KU8mzyPfID8cLxhPFN8P/wcu+j7tLuUe467lnuZ+5S7jbuKu4j7grt3+2z7YztX+0h7ODsqex+7FDsGuvm68Lrr+un66frrOu0677rzevl7APsIuw+7F3sh+y67OjtC+0l7T/tW+107Ybtku2c7afttO3D7dXt5u3x7fXt+O387gTuDu4a7ifuMu437jnuPe5K7l/ueO6U7rDuz+7y7xnvP+9h74PvqO/U8APwL/BX8ILwtvDw8SnxXfGP8cTx/fI48nXytfL38zjzdvOz8/T0OvSC9Mr1E/Vh9bP2B/Zb9rD3CPdl98T4I/iB+Nz5NfmK+d76MvqK+ub7R/up/Av8bvzS/Tf9nP3+/lz+tv8U/3r/5wBVALkBDwFbAaMB6AInAlsChwKzAuUDGwNPA4ADrwPgBBIEQgRuBJkExgTzBR4FRwVvBZkFxQXuBhcGRAZ2BqkG1wcBBysHWAeGB64H0gf6CCkIXAiHCKgIxgjoCQ8JOAlhCYwJtgnfCgQKJgpFCmAKdgqFCowKiwqECnoKcgpuCmoKZQplCm0KewqJCpQKnwquCr0KxQrHCskKzQrPCs0KygrLCs8K0wrcCvALDAspC0ALVgtzC5ELrAvEC+QMDAwuDEkMaQycDNQM+g0XDWQOBw7aD4gP8RBVEQ0SChLHEr8R5hCuD6AO/g7KDv0PjxBXEP0RLhDdEEwP2A+1D9QQARAND+0PuQ+WD5MPow+sD6MPlA+TD58PqA+dD30PWA8+DzIPKw8aDv4O4A7KDr4OuQ60DrAOsw7ADtUO7A78DvwO6A7DDpUOZQ4xDfQNsQ15DVQNOg0XDOMMpgxsDDQL+Au5C0kLNAsoCxQK9QrPCqgKiQp2CnsKmgrICu0K/gsDCwkLDgsHCu4K0Aq+Cr4KygrTCs8KvAqkCp0KtwrsCx4LMQsjCxALDwsgCy8LMAsnCx8LGQsUCw8LDwsVCxsLHQsgCykLOgtQC2ULeAuJC5kLpQuuC7YLwQvTC+wMBAwLC/kL1wu4C6kLpgueC4YLYws9CxcK6QqvCmwKKgn1CdEJtwmcCXcJSgkdCPUI0gixCJIIfQhyCG4IaghlCFoIQggXB98HpgdzBz4G/AawBm0GRQY1BisGGwYEBe0F2QXFBbMFqwW0BcsF5AXzBfYF8gXnBdMFswWTBYQFjwWmBbAFqAWeBZ0FlAVjBQcEqARpBEMEEQPUA9QEXwVtBpIHVAeOB3QHRgcRBsQGXgX9Bb4FmAV1BUcFFQTmBLQEegRABBID8APOA58DZAMoAusCrAJmAh8B2gGWAVEBBQC2AGkAI//o/7L/d/8r/tD+cP4V/b79Zf0C/Jr8NfvW+3r7Gfqw+kT52/l8+ST4zfhx+Ar3m/cp9sH2cvZJ9kr2bvas9wH3bffn+FX4mvix+LP4wfjl+Qz5HfkW+Qn5BPkD+Pn47fj3+S35gPnE+dH5rfmB+XL5evl2+U75CPjD+JT4e/hx+HH4d/h3+GT4PfgE97H3MfaC9cH1HfSu9Gz0PvQa8//z5PO+85DzcfNz84zzp/O889Tz3POW8snxhvA070fu7e8B7z7vde+O74DvSO717qHuV+4K7a/tV+0h7RvtMe1H7Vntcu2R7aXtou2X7ZztuO3Y7e3t8u3p7c7tnu1j7Szs9uyx7FLr5+uF6y3q0epu6g7pt+li6QLooehR6BDny+eC51vneOfL6CDoZejO6Zfqs+vG7Hbsvuzk7Sftiu3m7ibuaO7o787xC/Je84X0YvT/9Wj1lfV49SD0u/R39GP0dPSR9KL0jvRX9CP0H/RJ9G70ZPQ99C/0SPRd9FD0RPRl9Jr0i/QM81by0vKr8rryxfKk8iTxBO9G7X7sgey17avum+8d72fv1fBs8OLxCPD/8QvxSfGl8gLyWfKt8v7zQ/Nx84nzmfOz89Xz2/Og8yzyt/J38mvyWPIP8ZvxJ/DT8J/wh/CR8MHxCvFX8ajyCfJ68uzzTfOe8+r0NvR79L31A/VT9af19fY99of20vcV90/3hPe69+r4D/gr+En4cfif+Nb5IPmB+fH6YvrS+0n7wfwl/Gb8kfzG/Rn9ff3f/jf+jv7u/1X/vAAmAJQBBQF1AeICTwK2AwwDSwN9A7gEBQReBLYFBgVTBaAF8AZBBpQG6wdDB5wH8ghFCJII2QkaCVoJnAnmCjsKmAr2C0cLfwuhC7gL1Av4DBgMKQwkDA0L6wvDC48LSgrvCn8KBwmdCWgJigoHCr0LdgwRDI8M/A1UDYINhA11DXcNlA3CDfQOJw5UDm4Ocg54DpwO2g8SDzEPRg9sD58PxQ/SD9wP+xAtEFwQgBCkEMoQ5RDnEMoQhhALD3YPNA+/EQsSRhJZENAOSAvxCqwKjQsXC7wMLgxiDG0McQyEDJ4MngxwDCQL3QuoC3kLQQsCCscKjApFCe0JlAlJCQ4I2wirCIUIbwhkCFEIKQfqB6AHVgcUBtoGrgaXBo8GfwZMBfIFigU5BQsE7wTNBJ8EcQRJBCUD/QPTA6wDjQNxA1UDNwMSAuECpgJrAjwCGwIDAe4B2wHKAbkBpQGRAYMBdQFdATUBAwDUAK0AiQBiADgAD//q/8j/qv+T/4H/av9M/yr/Df73/uT+z/63/p3+gP5m/lT+Sf47/iH9+/3Z/cb9vP2u/Zb9fP1q/WD9Vv1K/UP9Q/1J/VD9Wv1m/W79bP1h/Vj9Wv1k/XH9f/2T/av9wv3W/e3+Cf4i/i7+LP4i/hf+Bv3w/d392f3f/eD92f3c/fL+Ev4z/mT+xv9V/9gAEP/7/9L/xP/B/5v/Vv8w/1f/ov+0/1v+wf5C/g7+D/4Z/hz+LP5W/pL+y/7y/wn/GP8m/zn/Uv9s/4L/jv+R/5X/of+4/9X/7f/6//z//gAFAA4AEAAJ//7/9f/s/9//0f/H/8D/uP+r/5v/jP+A/3P/Zv9Z/0r/Nv8c/wT+9v7x/u7+5v7Z/sf+sv6b/oT+b/5Z/jz+Gf32/dv9wv2l/YP9Yv1F/Sr9Dfzt/M/8tPya/IH8bPxd/FD8Pfwm/A/7+/vq+9f7xPu2+6r7nfuL+3b7YvtP+zn7HPr8+t36wfqo+pL6f/pt+lr6RPou+hj6Avnq+c/5tPma+YD5ZflI+Sr5Cfjl+L74l/hw+En4JPgB9973ufeR92j3Qfca9vL2yfak9oT2ZfZA9hf17vXK9aj1gvVa9TL1DvTq9MX0ofSB9GT0SPQs9A7z7/PL86TzffNZ8zfzFfL08tXyuPKZ8nnyXPJD8inyBvHf8bjxlvF28VbxM/EO8OTwtfCG8GHwRvAr8Ajv4O+976Hvh+9t71XvRO837yfvE+7/7vDu5u7d7tbu0e7O7sfuvu617qvuoO6T7oruiO6H7oHueO5z7nbuee547njuf+6O7pvuo+6u7sXu3u7q7uXu3u7n7wDvGu8v70TvYu9+74HvW+8g7wTvP+/a8KHxO/Fu8UrxH/E18ZXyCvJU8lryM/IL8f3yD/I18l/yivK68vTzMvNm84jzoPPD9AX0ZfTU9UL1qPYF9lj2l/a89sz20vbU9s/2uvaa9oH2hPam9tf3A/cm90b3ZPd594H3iPee98T34ffb96/3c/dA9x33Avbk9sH2mPZp9jj2CPXe9bn1lPVq9Tv1D/Ts9Nj01PTe9PD1CPUk9UL1WfVg9Vj1TfVN9Vv1b/WG9Z/1v/Xi9gH2FfYg9in2MvY+9k32W/Zl9mT2V/ZC9ij2CfXf9af1YPUL9Kr0RvPu87TzoPOx8930GPRY9Jn02/Ub9VH1ePWW9bz17fYa9if2EPXo9cb1qfWD9VH1IfT59ND0m/Rp9FT0WfRQ9BXzrfND8vry0vK28pTyY/Ig8dTxlPFr8Tjwwe/w7wXuY+457ljub+5d7jzuLu4s7hvt8u3C7ZTtYe0j7OHsqex+7FTsJuv669brvuuv66nrr+u768br0uvl7ADsHuw57Fbsfuyv7N3tAe0e7TvtWO1v7XvtgO2F7Y3tl+2i7a7tuu3E7crtzO3M7c3t0e3Z7eXt8e367gDuCO4U7iXuO+5T7m3ujO6v7tTu+e8c7z7vZu+V78bv9fAf8ErwfPCy8OjxHPFR8Yrxx/IG8kbyiPLM8w3zSfOC87/0BPRO9Jr05/U19Yf12/Yw9ob23vc595n3+fhW+LD5Bvlb+a/6BPpd+rz7Hvt/+978PPyf/Qf9bP3K/iT+gP7n/1X/xAAtAIsA4AEsAXEBrQHgAgoCNAJiApgCzwMEAzYDZgOYA8kD9QQeBEYEcAScBMgE8gUeBUsFeQWkBcoF8wYjBlgGiQazBtkHBAc1B2QHjAeyB90IDQg5CFsIdgiVCLsI5QkOCTgJZQmSCbwJ3gn8ChkKNApKClUKUgpGCjsKOAo9CkEKQAo/CkYKVwprCn0KigqTCpgKmAqWCpkKnwqjCqEKnQqdCqAKpQqtCr0K0wrsCwMLHQs9C14LeguUC7QL3gwGDCkMUgyKDMMM7A0UDWQN8w6cDysPqRBkEY8S4RO3E6ISwRGdEKsQDQ+9D8IQIxCzERIQ9hBwD9oPhw+HD7EP0A/JD6EPcA9SD1EPYw9xD2wPWg9OD1APWQ9cD1IPPQ8jDwgO7A7ODq8Okg57Dm0OZQ5eDlYOUw5aDmsOgA6ODo8OgA5kDj8OEg3cDZoNTw0KDNUMsAyODGYMOAwIC9cLowtwCxELBgsCCvcK4Aq/CpsKeApdClMKYwqKCrUK1QroCvYLAAr/Cu8K2grRCtoK7gr7CvUK3Qq/CrAKwQrvCyQLSAtPC0ULOws5CzoLNwsvCyQLGQsPCwkLCAsNCxMLGAseCykLNwtCC0sLUwteC2oLdQt+C4YLjwudC7MLzQvgC+AL0QvCC8ILzAvNC7ULhwtUCyUK+QrECoUKQgoICdwJuQmVCW4JRQkdCPcI0girCIcIaghYCE4ISghGCDsIHwfwB7MHdQc8BwAGuQZtBi0GCgX/BfwF9AXnBdwF1AXJBbkFqwWsBb0F0wXhBeAF1gXGBbAFjwVuBV4FagWDBZEFigWABYYFkgWCBUME6gSaBGMENgQVBCIEhQU0BfIGgAbPBvoHEQcJBtAGdgYfBeEFsQV6BTsFAQTUBKwEfwRQBCgECQPoA7sDhANHAwgCxwKCAjoB9AGvAWgBHgDQAIAANP/u/67/a/8f/sv+df4h/cz9bv0G/Jr8MvvP+2z7B/qh+jr51flz+Rb4uvhY9+r3cPb29oz2PvYP9fr1+/YT9kj2nvcL93X3w/fw+A/4N/hr+Jr4r/in+I74cPhM+CH39vfh9+/4G/hS+IT4rvjX+Pr5Bvjt+Lb4efhL+DH4HfgM+AL4BPgG9/b3zfeR90X24PZb9cH1LPSw9E/0BvPV87jzoPN981XzR/Nn85/zxfPD86Tzb/MH8kbxMfAP7zru3e7j7xfvT+9u72bvN+717rbuge5B7e7tnO1s7WvthO2b7ajttu3G7crtu+2q7a3txu3i7e7t6+3i7dTtuO2N7VbtEuy77E7r2etv6xDqtOpY6gTpuOln6QXon+hK6Afnwud05zTnI+c/52nnmOfs6IPpROns6k3qfOqz6wnrXuuD633rjewE7QHuV++08OXx+fMP9Bj00fT99LL0TPQf9D30g/TM9Pv0/PTO9JT0ePR09FX0APOp85nzzfP089/z0fQg9KT0vfP38pXxTPCK8Cvv1+9p7uDuJ+0o7B/rl+vq7ODt5O6W7w3vhfAA8E/wYfBj8Irw3PE/8aDx//Je8rDy6fML8ybzSfN686jztfOF8yHyuvKC8nrydfJL8fzxrPFy8VDxRfFX8YjxyfIG8j3yfPLN8ybzefPE9A70WfSf9OT1LvWD9dj2I/Zl9qj27/c193X3r/fk+A74LfhF+GP4iPi0+Or5NfmY+gb6cfrW+z/7rPwP/Fr8l/zd/Tf9mv33/kz+p/8R/4b//QBuANsBQgGjAgYCcwLpA1IDnAPHA+wEJwR/BOQFQwWRBdUGGgZkBrEG/wdQB6gIBQheCK4I8wk1CXgJwwoXCnYK2QsyC3ALlAutC8wL9QwdDDQMOAwyDCUMCgvQC3AK9gp8ChEJugl4CWAJkwoeCuULrgxODMINIA1tDZkNnA2HDXoNiQ2yDesOKw5jDoIOhw6NDq4O5w8YDzQPTQ97D7MP2Q/jD+gQBRA0EGMQjBC3EOMQ+xD3EN4QqxBDD7QPaQ/0EWYS8BNUEe8PQwyYCvwKqAsjC8sMQgx4DI0MqAzYDQsNFQzjDIgMMAv0C8kLmQtaCxEKyAp+CjIJ4gmQCUII/gjLCKoIlQh/CF8IMwf6B7cHcAcsBvMG0AbIBtQG1wawBlYF4wWBBUcFKAUIBNsEqQR7BFEEJQP2A8oDpgOHA2oDSwMnAvwCywKaAm0CRgIjAgIB6QHVAb8BogGHAXYBbQFeATsBCQDYALAAkABvAEsAJwAJ//H/2//B/6H/fv9d/0X/Mv8c/wT+7v7c/sf+qP6D/mz+a/5x/mL+Nf3+/df9xf25/ab9jv16/Wn9V/1H/UD9Rf1O/VP9VP1X/Vz9Wv1Q/Uf9Sf1Z/W/9hf2a/a/9wv3S/eT9+/4T/iL+J/4n/iX+Hv4T/gr+C/4P/gr9/f31/fv+BP4G/hP+U/7Q/1//wf/h/9r/xv+a/07/DP8i/6QAPQBuAAP/Qv6b/kn+Mv4r/ir+P/5w/qv+3v8G/yb/Pf9K/1X/bf+S/7X/yP/K/8n/0v/m//4AFAAlADIAQABMAFUAVABMAEIAOgA1AC4AIgAWAAoAAP/2/+r/3P/L/7b/o/+V/4v/ff9n/1H/Qv88/zz/N/8s/xv/Bf7t/tb+wf6s/o/+a/5D/iD+Af3h/cD9n/2C/Wf9Sf0o/Qn87vzV/Ln8oPyM/Hv8Z/xO/DT8HfwK+/j75PvT+8X7t/um+5L7ffto+1D7NfsY+vz64vrH+q76mfqH+nX6X/pG+i76GPoB+eb5yfms+ZD5c/lU+TT5E/jz+NL4sPiM+Gf4Qvgf9/r30veo93/3WPcz9wr24fa79pn2ePZR9ib1+/XV9a71hfVa9TP1EvTx9M30qvSJ9Gz0TvQx9BTz9/PX87HzifNk80LzIfMA8uDywfKi8oLyYvJD8iLx/fHW8bDxj/Fx8VHxMPEL8OHwsvCF8GLwSPAu8Azv4+++76Lviu9z71vvRe8v7xnvBO717uru4e7W7szuxu6/7rburO6i7pjujO597nPuce5w7mruYO5e7mTubO5t7mzuce5+7oruku6c7q/uxe7R7tDuze7X7u3vBe8X7yjvQO9a72XvT+8d7vXvD++L8EzxA/Fl8WLxM/Ek8Vzxw/Ik8lLySfIf8fbx5/H58iLyVPKK8sbzBvND83PzlfO28+j0N/Se9Q71fPXj9kH2jva/9tL2z/bI9sP2vfau9qD2ova89uX3Dfcx91P3c/eK95T3nfe39+H4Aff798r3hvdK9yH3B/bx9tX2rPZ49j32CPXe9br1lPVp9T31F/T99PH08/UC9Rn1M/VM9Vz1XPVH9Sf1DvUL9SD1QfVl9Yj1rfXQ9ef18PXx9fT1/PYG9g72FfYb9hz2E/YD9e711fW09Yf1UPUS9M30gvQ18+/zv/Or87PzzfP19Cv0dfTS9TH1fvW19eL2FfZJ9mb2XvY99hT17PW+9Yv1W/Uy9QP0x/SQ9Hb0ePRt9DHzyfNg8xvy+fLj8sHyhvIv8cvxgPFj8VDw9/Aw7zXue+5C7mHufe5q7kLuMe427jPuEe3b7aHtZe0n7Onss+yE7FbsKOv/6+DryOu2667rtOvC68zr0+vd6/PsEuwz7FXsfuys7Nbs9+0S7S3tR+1b7WXta+1y7Xvtgu2G7Yjtje2T7Zvtn+2f7Zztmu2d7abtsu297cft0+3g7e7t/+4T7i3uSu5q7ozuse7X7v/vKe9X74fvuO/o8BbwRvB48Kvw3/EY8VXxlfHU8hPyU/KW8tjzF/NU85Pz1vQf9G30vfUO9WD1s/YJ9mD2uPcR9233zPgo+H/40/kn+X752Po2+pf6+/ta+7T8D/xy/Nr9Pf2X/ez+S/66/y//ngAAAFcAqgD3ATgBaQGPAbMB3wIUAk4ChwK8Au8DIQNSA4ADqAPOA/QEHgRKBHcEowTPBP0FLQVaBYEFpwXVBgoGPgZpBo0GtAbmBxkHRgdrB5EHvAfkCAUIHwg+CGUIkAi7COQJEQlBCW0JkQmuCcoJ6AoEChQKFgoLCf8J/AoCCgoKDwoUCiEKOQpUCmgKcwp5CnsKegp3CnUKeAp5CngKdQp1CnYKeAp8CogKnAq0Cs0K7AsSCzcLVgtyC5MLvQvqDBUMRQx+DLYM5g0dDXkN/Q6ADt4PMg/GELoRvhJSEj4RwhFGEPEQpBBFD/kP8hAlEEUQGw+6D2gPVA9tD4sPkQ+DD2oPUA8+Dz0PSg9YD1kPTA88DzMPMg82DzYPLA8TDuwOvw6XDnUOVw49DisOHw4XDg0OAw4BDggOEg4XDhQOCg37DeMNwA2PDVANBwy8DHoMRwwfC/kLzwuiC3ULTAsoCtIK0grVCs8KugqZCnYKVgo6CicKKApFCnIKngq/CtYK6Ar0CvUK8Qr1CwcLHgspCyALBgroCtUK1gryCyALTwtsC28LYQtTC0wLTAtJCzsLJQsPCwMLAwsJCw4LFQshCzALPAs9CzULKwspCy0LNAs7C0ILTAteC3kLnAu8C84L0QvSC+AL9gwBC+0LvAt/C0YLEgrZCpkKWQogCfAJwgmTCWYJQAkeCPwI1AinCH0IWghCCDUILwgqCBwH/AfJB4wHTwcSBtAGgwY2BfoF2QXQBdAFzAXHBcUFxwXFBbgFqAWfBaUFtwXFBccFvAWpBY4FbAVMBTsFQQVUBWMFZgVmBXMFhwWMBWwFKgTfBJ0EcARfBHMErwUFBV8FuAYZBoUG3wcCBt8GkgZBBgAFwgV4BSoE6gTABKEEgQReBD0EIAQCA9gDoANgAx4C3QKcAloCFgHNAYIBNgDpAJoASf/6/6//Zf8b/tH+hv43/d79ev0O/KL8OPvO+2L69/qS+jL50Plq+QH4mPgt97n3PvbG9mL2GPXn9cP1qvWk9b71/fZY9rn3C/dJ9333tPft+Bz4N/g5+CL39Pez9233MvcH9ur22/br9zH3rvg8+J/4svh5+CH32Pey96L3kvd592b3Zfdw93L3Wfcj9tn2g/Yh9bH1OfS99Ejz5/Oq85LzifN682rzdPOm8+Pz+PPL83DzAfJ/8dHw7u/87znuzu687ubvJu9X717vOu7/7sjumO5g7hftz+2l7aftyO3u7gnuFu4R7fft0u237bXtw+3M7cftvu2+7cLtuu2a7WPtFuyz7D3rxOtY6v3qp+pT6gPptelc6PPohugr5+fnpOdU5wPmy+a15rjmy+b550vnqOfs6A7oKuhm6L/pDekt6SvpROm36pHrpey17bbu3PBQ8eXzH/Oj84vzT/NS85/0DvR79Nv1GvUk9P30wPRq8+DzKPKb8pDy8PNF81HzZ/P39Mv1AfPw8ejv4e6F7bftAuxC66brRur36qnqlusO7AjtIu4D7pvvBe9J72Xvb++W7+/wZPDR8TTxmvID8lfyh/Ki8sHy9PM183Hzi/Nt8xjys/Jx8mbydPJy8lTyLvIW8g/yFvIt8lfyivK08tHy7vMZ81TzmPPg9Cr0c/S69QL1U/Ws9gD2RPZ99rn3APdO95j31vgI+C34Sfhk+IT4qPjR+QX5T/mv+hr6f/re+z/7pvwJ/F78qvz6/Vb9tv4Q/mf+yf89/78AQAC4ASEBewHLAiQClQMeA6MD/wQpBDsEYQSwBRsFgQXPBgsGRgaJBtIHHQdtB8YIIwh7CMcJDQlVCaMJ9gpOCqsLCAtUC4ULnwu4C+IMFgw/DFAMTwxJDD0MFAu6Cy4KkAoKCbAJfQlkCW8JuQpSCx0L4AxvDMoNDg1MDXkNiA1/DXYNgA2gDdIODw5KDnIOhA6TDrUO5g8UDzYPWg+ND8MP4w/rD/MQDxA5EGQQkBDGEPcRCxECEO8Q0BB6D+YPfw/xEWsTJRPIEoQPyAztCyYKyQtWDBcMngzdDPwNIw1ZDYINeQ0zDMsMbAwvDAcL2QuWC0QK9Qq2CoEKQwnwCZEJQAkNCPAI0winCHMIRwgkCAAHzQeLB0cHEAb0BvAG7AbLBn0GGAXBBY4FcQVQBR4E5ASwBIIEVAQiA/IDyAOjA4ADXgM6AxMC6gLDAp4CeQJQAicCAwHkAcQBogGEAXQBbwFkAUYBFgDjALsAnQCDAGcATAA1ACMADv/x/8f/nP99/23/YP9I/yX/B/72/uf+yv6i/ob+hv6T/or+XP4d/e/92v3P/b79pf2M/Xf9Y/1U/VD9Wf1i/WD9V/1R/VL9U/1P/Uj9S/1b/XH9h/2b/bD9xP3V/eP98v4C/hD+G/4m/jL+O/4+/j/+Qf5B/jf+Jf4Z/hv+Hv4V/gv+Jf52/ub/Qv9s/2v/Uf8e/t7+wv8J/7IAXQCSACn/bf7M/nf+V/5J/kf+X/6L/rn+3f7//yT/Qv9Q/13/fP+v/93/7//s/+r/+gAUAC0APwBQAGUAegCIAI4AjACHAIAAewB3AHQAbQBjAFQAQwAyACQAFgAF//L/3//T/8//yf+8/6r/nf+Z/5n/k/+G/3L/XP9C/yf/C/7w/tP+sv6N/mj+RP4h/f392/2//aP9hP1i/UP9KP0P/PT81/y8/KT8jPxv/FL8Ovwp/Br8CPv1++T71fvE+677lvt9+2P7Sfsw+xr7A/ro+sr6r/qa+of6cfpW+jr6IfoJ+e750fm0+Zj5e/lb+Tr5G/j/+OX4yfip+If4Y/g9+BT36fe995T3b/dL9yT2+/bT9q72ifZg9jP2CPXf9bf1jPVh9Tv1GPT39NP0r/SP9HL0U/Qz9BXz+vPd87rzk/Nv80/zMfMQ8u3yzPKr8oryZvJA8hnx8vHL8afxhfFl8UXxJfED8N7ws/CJ8GXwSfAt8Azv5u/D76fvkO9772LvR+8p7w7u+e7s7uTu2u7M7r7utO6p7p3uke6I7oDudu5o7l7uWu5X7k/uRu5G7lHuXe5i7mHuZO5v7nrug+6L7pjup+6x7rbuve7N7uPu+O8H7xPvJO85703vT+807wru/O8378bwe/EP8VfxXfFS8V3xi/HL8gXyI/Ic8fvx2fHO8eXyFPJQ8pDy1PMZ81bzgvOk8830D/Rw9OT1V/XB9iH2dfax9sz2yfa79rX2u/bB9sP2x/bZ9vj3IPdJ92/3jfec96H3rffO9/34HvgW9+P3mvdX9yn3EvcI9vv22vag9lr2GfXo9cD1mPVs9UX1K/Uf9R71KPU79VL1ZPVm9VP1MPUC9Nf0u/S49M307/UX9UH1bPWP9aT1qvWq9az1r/Wv9az1r/W69cj10PXP9cn1v/Wv9ZP1b/VF9Rf03/Sd9Fj0GvPu89Lzw/PD89z0HfSH9Qb1efXN9gb2NvZj9n/2fPZb9i32AvXa9bX1kvVw9UT1CvTR9K70n/SG9Ebz5POH803zNvMo8wbyufI+8bLxTfEz8TvxBvBY72TupO5m7obup+6T7mbuT+5V7lfuN+347a/taO0o7PHsweyS7F3sJ+v7697ry+u667Hrs+u968XryevR6+XsBuwr7FLse+ym7Mvs6Oz+7RPtJ+027UHtS+1Y7WPtae1o7WPtX+1f7WLtZO1k7WHtX+1i7WrtdO197Yjtl+2n7bbtxe3Y7fHuDu4s7k3ucu6d7snu9O8d70nveO+r797wD/BA8HPwqvDm8SXxY/Gg8d3yHfJf8qLy5/Mq82zzr/P29ET0l/Tr9T31kPXk9jz2kvbp90L3nff4+E/4o/j5+VT5sfoR+nT61fsy+4r75PxH/K79D/1k/bj+Gv6Q/wn/df/PAB8AbgC4APIBGAE2AVkBjAHKAgkCQgJ0AqYC2AMHAzMDWgOBA6gD0gP/BC0EWgSFBLEE3wUOBTkFYAWLBb0F8QYeBkIGZwaUBscG9QcaBz0HYweJB6oHxgfoCBIIQQhuCJcIwgjwCRwJQAleCXkJlgmxCcYJzwnMCcUJwgnHCdIJ3gnsCgEKHAo2CkkKVQpdCmQKZwpkCl8KWwpYClQKUQpOCkwKSwpNClcKawqFCqQKxwryCx0LQQthC4ILqwvZDAkMPgx3DK8M4w0kDYcOBQ5xDqYOtg7aDy4PiA+rD5wPoA/iEDUQPg/dD1QO/g7xDv8O/A7xDv8PKw9YD2oPZg9hD2APWg9OD0QPSQ9XD2EPXw9SD0APMA8nDyYPJA8TDu0Oug6HDlsOMw4NDe4N3A3SDcgNvQ20DbANrA2iDZYNjg2LDYMNbg1JDRcM1wyODEYMCQvZC60LfQtJCxoK9QreCo0KlAqeCpsKggpaCjUKHAoMCf4J+woQCjwKbQqUCrAKzArpCwALDwsfCzcLTwtXC0wLNQsgCxALBQsICyELTQt1C4QLeAtlC10LZAtnC1gLOQsaCwkLCQsPCxMLFwsgCy0LNAspCxAK+ArrCuwK8Qr1CvoLCAsiC0YLcguaC7gLygvZC/AMDgwjDBsL8gu1C3ALKwrkCp4KYgoxCgQJ0QmZCWYJQAkjCQII2QirCH8IWAg6CCUIGggQB/wH1gegB2YHKwbuBqgGWwYQBdkFvAW1BbUFtAWxBbIFtwW5BbAFngWMBYgFkwWjBasFpQWPBW8FTQUwBR4FGQUeBSkFOAVLBWEFeAWFBX8FXQUiBNwEpASPBKAExATkBQIFOgWkBjEGrAbhBsoGiAZCBgMFwAVvBR4E4AS6BKEEhgRnBEkEMAQVA+8DuAN1Ay8C8AK3An0CPAHxAaABUAECALMAYAAJ/7T/aP8l/ub+o/5T/fP9h/0Z/K38Q/vU+2D67fqE+iP5w/la+Oj4cvf794H3CPaX9jv19/XF9Zz1d/Vd9Vv1e/W39gP2UPaZ9t/3I/df9433qvey95z3Xfb/9p72VPYf9er1tPWp9gL2xPep+Er4b/gq98L3cfdL9zn3Ivb89tb2xfbQ9uT26PbH9oT2L/Xa9Yf1LvTF9FPz7vOt85jznPOj86rzwPPp9Ajz9/Ol8yfyn/IW8Xnwuu/o7y7ute6R7rXu/u8+71PvNu797sLuku5k7jDt++3Y7djt/O427mvuf+5m7ivt6+3D7bXtru2f7YztiO2a7bDtr+2M7Uvs9eyM7BbroutA6vHqqOpZ6gPpqOlF6NfoaugO58Xnguc15uDmluZj5kbmO+ZB5lXmbOZ55oDmlebE5wbnROdw55Hnwugj6Lnpa+of6unsA+2Q707wt/Ft8Y/xk/HK8i/yoPMZ86v0QvSn9LX0b/Ph8wryFPFp8Wvx9/J/8rLy5fOP9Hf0qfNr8RTuvO0m7C/rUupr6cbpmum46dvqDOqQ64Dsou2f7knunO6t7qHur+7+74PwC/B28NXxQvG28g/yPPJT8nXyrPLt8ybzSPM68vTykvJK8kHyZvKP8p/yovKr8r/y1vLt8wrzKvNE81DzVfNj84fzvvQD9Er0kPTW9SP1evXT9h/2WfaJ9sL3DPdg97D37/gd+ED4YviG+K340/j6+Sz5c/nP+jT6l/r2+1r7wvwm/H78zf0e/Xb90f4s/oj+7/9n/+sAcADpAU8BoQHsAkUCvgNWA+sEUgR6BH4EkwTZBUMFrAX7BjMGaQaqBvIHPgePB+YIPwiRCNsJJwl7CdQKLAqBCtcLKwtvC5kLsQvMC/cMKgxUDGoMbwxlDEML8wtvCswKMAm/CYEJaQlsCZIJ8gqRC1EL/wx5DMEM9Q0oDVQNbg12DXkNhA2bDb8N8Q4sDmEOhQ6hDsAO6Q8UDzwPaA+cD8wP6Q/4EAsQKBBIEGcQkxDOEQIRExEHEQIQ/BC5EBoPig/KESoS8hO9EpoP5w0ACzYK6wuaDHoNEQ1VDXYNmA26DcMNmw1IDOUMkwxeDDcMCAvEC3QLLgr/Ct4KrgpZCe4JlQljCUkJIwjjCKAIegh1CHYIXgghB8kHagcbBucGxgahBmUGHgXlBcYFtAWXBWMFJgTuBL0EiwRWBCID8QPGA58DeQNUAy8DCgLpAs4CswKQAmUCNQIFAdcBrwGSAYQBfwFyAVYBKgD7ANIAsQCYAIUAcwBhAE0AMwAR/+b/vf+h/5X/i/9x/0b/H/8J/v3+5v7B/qH+mP6b/o3+Yf4r/gT99P3q/dX9uP2e/Yv9fP1v/Wr9bf1x/Wr9Xf1U/Vb9XP1e/Vv9Xv1r/X/9kv2k/bf9zP3b/eb97/37/gv+HP4t/kH+U/5f/mX+af5o/l/+Tf47/jT+Mv4r/h7+Iv5M/pL+0f7w/vD+5f7X/s/+4P8o/58ABwAV/7r/Lv68/oH+af5d/l/+eP6d/r3+1f7z/xn/Of9L/13/hP++/+z/+P/y//oAGwBFAGIAcgCDAJgAqgCwAK8ArwCzALcAtgCxAK0ArACpAKAAjgB3AGEAUABAAC8AHAAPAAsACgAE//b/6f/k/+P/3v/R/77/qv+T/3b/VP8y/xP+9v7X/rX+kf5p/kL+Hv3+/eH9wf2e/Xz9YP1I/S79EPzy/NX8ufya/Hv8YfxO/D78LPwX/AP78fve+8b7q/uP+3P7WvtE+zH7HvsE+uT6xPqp+pP6e/pg+kL6JfoJ+e350Pm2+Z35hPlm+Ub5KfkQ+Pj43/jD+KT4gPhY+Cz3//fT96v3hfdh9zz3Ffbt9sX2nfZy9kT2GPXv9cf1nvV19U71KfUE9N30ufSZ9Hz0XPQ69Bnz/PPg87/zmvN481nzPPMb8vjy1vK18pLyavI+8hPx6/HF8aHxfvFb8TrxGvD78NrwtfCN8GjwSPAp8Ajv5e/G76zvlu9972HvQe8i7wbu8e7k7tvu0O7B7rHuou6S7oLude5t7mjuYe5W7kvuRu5A7jjuL+4u7jjuRe5O7lDuVO5c7mbub+527n/uiO6R7pzurO6/7tPu4+7y7wDvDu8f7zbvSe9I7ynvA+8D703v2PB58QHxWPF98YDxd/F+8aXx3/IK8g7x7vHL8cTx4vIa8lzyovLq8y3zY/OM87bz9vRV9Mn1O/We9ff2SvaR9rz2w/a29q72ufbO9uH27fb79xX3PPdp95H3p/es9673wffp+Bf4Mfgk9/T3svdz90X3MPcw9zD3FvbX9oT2N/X+9dL1pvV49VX1R/VN9Vz1cPWF9ZP1j/Vt9TH06vSr9H30ZfRg9Gr0g/So9Nb1BPUr9UP1TvVU9Vb1UfVE9Tr1PvVW9Xf1k/Wm9bH1uvW99bb1pvWS9Xb1TvUY9N30p/R39Ev0HfP28+b0AvRT9M71VfXI9hj2S/Zr9nn2bPZI9hv19/Xe9cz1uvWh9X71TfUW9Of0wvSX9Ff0BPO584/ziPOP83rzJPKG8crxQPEW8SDw+PBY73Huuu6B7qbuz+7F7p3uhO6B7njuT+4K7brtbu0r7PXsy+yg7GvsMewA6+Lr0evC67brsOuz67jrvuvK6+Dr/+wi7EXsbOyT7Lfs1Ozq7PvtCO0S7RvtJu0z7T7tQ+1E7T/tOe0x7SrtJe0h7R7tH+0k7S3tM+047ULtU+1q7YDtke2k7b3t2+377h3uQu5s7pjuwe7o7xDvPe9w76Pv1fAG8DvwdfCz8PHxLfFq8arx7vIy8nfyvfME80jzivPO9Bz0cfTH9Rn1afW89hL2afa+9xT3bffI+CH4ePjR+S35jPns+kz6qvsG+1/7uvwd/IH83f0w/Yb97v5n/t//Rf+Z/+UAMABzAKQAwwDdAQYBQQGGAcgCAAIwAmACjwK9AuYDDgM3A18DiQO1A+QEEwQ+BGYEkAS/BO4FGAVBBW4FoAXPBfcGHAZFBnMGnQbABuEHBgctB1AHcAeUB8EH9AgkCE4IdgieCMYI6QkJCSYJQgldCXQJhAmLCYoJiwmTCaMJtwnMCeQJ/goXCioKOApEClAKWApYClIKSwpDCjoKMQopCiUKIgokCi8KRApiCoQKrArbCwwLOQteC4ILqgvVDAQMOgx2DLAM4w0dDW8N1w4vDlEOPQ4VDfINzA2eDYsNyA5TDtkO+g6iDh8Nzw3PDf0ONA5xDr0PCQ87D0wPUA9aD2UPYw9TD0gPTg9iD3UPew9yD1sPPQ8kDx0PIg8eDwMO0A6VDloOIA3oDbkNnA2ODYQNeg1xDWkNXQ1JDTUNLQ0xDTMNJw0LDOMMrwxuDCUL4gurC3kLQQsECs0KpgqSCkoKVApjCmIKQwoRCegJ2wneCeEJ5An4CiAKTwpzCo4KsArcCwYLJgtCC2ILfwuJC38LbwtlC1wLSws4CzgLVgt/C5ULjQt5C3ALeAt+C3ELUwszCyELHgsiCyALGwsYCxkLEwr8CtgKuAqrCq8KuQq9CsIK0QrxCxwLSQtyC5ULswvPC+wMDAwmDCwMEwvcC5ELOwrkCpkKYwo9ChgJ6AmvCXoJUQkvCQoI3wi0CI0IaAhECCMICgf1B9gHqwd0BzsHBAbKBoYGPQX6BcoFswWvBbIFswWwBa0FrQWtBaUFlAV/BXEFcgV+BYkFhgVxBVIFNQUfBRAFAQT1BPYFDAUuBVAFaQV7BYoFhwVhBRkEzQSjBKcEvwTPBNoFBQVoBe8GYAaQBn4GTwYfBfAFswVmBRsE5ATFBLEEmAR6BF0ERQQvBAwD2AOUA04DEALcAqYCZgIYAcIBbgEeAM8AeAAb/7//cv81/wH+xf50/g79nf0q/Lz8UPvg+2j67vp5+g75p/k9+Mr4T/fR91T23fZy9hv12vWq9YH1WfUz9Rf1D/Ui9U71ivXR9iD2b/ax9t/2+Pb99uP2mfYj9aj1T/Uc9PP0yfTN9UP2M/dI+BD4S/gW97r3cfdG9yj3BfbV9qH2evZy9oP2kvaB9kP17PWX9VL1EvTH9Gz0E/PT87rzwPPS8+Pz8PP18+HzpfNA8sTyRPHD8TDwge/A7xHum+517pju4O8h7zfvHO7j7qXudO5V7j/uKe4U7g/uLe5u7rLuzO6k7lHt/u3L7bDtle1z7V3tau2R7bDtpu1u7RfstOxJ69rrdOsj6uXqpupY6fjpkekp6MToZegQ58fng+c85vDmqOZt5j/mHuYF5fHl4uXZ5d3l7uYH5iLmQeZo5pXmxeb950rnsegv6Njp0Oso7KXt3u6S7uPvJ++J7+/wRPCq8U7yIPLO8xby8vJ38bTw1vBC8FLw5/F38afxu/Ip8tDy4PG075rtjew362zqqunV6UvpTemt6g7qWurK643sie137h3uZO5i7k7uau7U72nv6/BG8JrxCPGD8d3yCPIe8j/ybvKe8sby4/Lj8rTyZfIp8i3yavKx8uHy/vMf80jza/N/84vzmfOn86zzqfOs88Xz+PQ59Hv0u/T+9U31pPX49jr2avaW9s73G/dz98T4A/gt+FD4dfii+ND4+vkk+Vn5ofn6+lr6vfsi+4z79fxY/K/8/v1M/Z799v5S/rP/HP+RABEAkwEJAWwBvgIPAnIC8wOJBBQEcQSTBJUEqATsBVYFvwYPBkcGfQa+BwcHUwelB/sIUgijCPEJRAmfCfwKUwqmCvsLTAuNC7MLyAveDAAMLAxXDHkMigx5DDQLswsNCmoJ7AmeCXgJbwmECcUKOwrbC4UMFQx+DMUM/w0zDV0NeA2IDZQNoQ2wDcgN8Q4tDm8OpA7HDuEO/A8eD0cPdg+mD88P7xANEC4QTBBgEHEQlxDUEQgRFRELERQRJRDwEEcPjg+UEMISdRNNEk8PwQz3C0QLDwvRDLkNTA2JDaQNvA3JDbUNfw06DPsMygyfDG8MMwvtC6cLbwtOCzULBwquCj4J4wmzCZ0JdgkxCOkIxAjGCNUIzAiWCDYHvAdFBugGqwZ/BlIGIwYBBfEF5wXPBaIFagUyBPwExASKBFQEJAP5A9EDqgODA1sDNgMXAwAC7QLTAqoCdQI6AgIB1AG3AacBmwGJAW0BSgEhAPcAzgCvAJwAkAB/AGQAQgAc//f/1f+9/7D/pv+P/2j/Pv8h/xD++/7d/r7+qf6a/oL+Xf43/h/+FP4F/er9yv2z/aj9n/2T/Yf9f/15/XH9Z/1j/Wj9cf12/Xj9fP2J/Zv9rP27/cj91f3e/eX97/4A/hj+L/5E/lb+Zv5y/nf+ef57/nj+av5T/j7+M/4u/in+Kf48/mX+j/6n/rH+xP7y/y7/Zv+P/6f/pf97/yz+1f6X/nv+b/5p/m7+hP6k/sD+2P74/yD/Q/9W/2j/i/+7/+H/7//1ABAAQABwAIoAlwCnAL4AzQDLAMQAxgDWAOcA7QDnAN8A3gDjAOUA3QDKALIAngCMAHcAXgBHADwAOwA4ACsAGgAOAAwACwAF//j/6f/Y/7//n/98/1z/QP8j/wP+3/64/pD+av5H/ij+B/3j/b/9n/2D/Wj9Sv0q/Qz87/zR/LL8lfx8/Gf8Ufw6/CT8Dvv2+9v7vvuj+4n7cPtZ+0T7MfsZ+vn61vq3+p36hPpo+kn6K/oN+e750vm6+ab5kvl5+Vz5Qfkn+Q748vjV+Lb4lPht+EP4GPfu98b3oPd691b3MvcL9uH2tvaK9l32MfYI9eL1vPWU9Wz1RfUc9PT0z/Su9JD0b/RK9CX0BfPn88bzovN/81/zQfMg8v7y3fK78pXya/I+8hLx6vHF8aDxfPFZ8TfxFvD28Nbws/CN8GnwRvAk8AHv4O/E763vle9471fvNe8X7v/u7O7e7tLuxO607qLuj+577mnuXO5X7lXuUO5G7jvuNO4t7iXuHO4Y7h3uJ+4w7jfuPe5E7kvuVe5f7mnucO547oXumO6r7rnuxe7W7uru/O8M7yHvO+9M70HvH+8F7xXvXe/S8GHw7vFY8YLxc/FV8V3xm/Hr8hnyEfHo8crxz/H38jLydPK58v3zOvNu85/z3/Q49KP1C/Vl9bb2CfZe9qH2wfbB9rv2w/bc9vr3EPch9zb3V/eA96L3sve197732vgE+Cj4M/gj+AD31feo94H3bfdv93P3W/cY9rr2Y/Yk9fb1yPWY9Xb1cfWF9aX1wPXR9dD1sfVv9RL0svRm9DX0GvQP9BH0JvRO9H/0rvTR9Oj09vT89Pr07fTa9NH03/UF9TT1XvV99Zb1rPW99cn10fXV9cz1svWJ9V31OPUW9Oz0tvR89En0MPRF9JT1E/We9g32TPZi9l32RvYk9gD15/Xf9dz11PXC9af1hPVX9ST07/S69H30NfPy88zz1fP79AfzwPMX8kbxpfFj8U7xAvBL72DutO6E7q3u2u7e7sjutu6o7ovuVe4P7cbtfu057P3sz+yn7HfsP+wO6+3r2uvL67zrseus67DruevJ6+Dr+uwW7DPsVux87KHswezb7O3s+Oz97QPtCu0R7RXtGO0b7R3tGe0N7P7s8Ozl7N/s3uzk7Ozs8ez07P3tEu0v7UvtYe127Y7tru3Q7fPuGO4+7mbuju637uLvEO9A73Hvoe/Q8ATwPvB78Lrw9/E38X7xyPIR8lfym/Lg8yXzZ/Oq8/b0SvSf9O71O/WN9eT2O/aP9uT3PPeX9/H4Svil+QP5ZPnE+iL6f/rc+zj7lvv1/FL8qPz8/Vn9x/4//q//Df9c/6f/7wAsAFcAdACTAMMBBAFLAYwBwgHyAiECTwJ5Ap8CxQLvAxcDPgNnA5YDyQP4BB0EQgRuBJ8EzgT4BSAFTQV8BakF0gX7BiQGSgZpBogGqwbSBvkHHQdEB3EHpAfVCAEIJwhLCGwIjgiwCNEI8QkOCSkJPwlMCVEJVQliCXoJlwmzCc4J6QoCChYKJAowCjwKRApICkcKQgo4CigKFwoLCgUKBAoIChMKKgpJCnAKnArPCwULOAtjC4sLswvcDAgMPgx9DLwM7w0YDUUNfw22Dc8NwA2XDWINJAzlDMIM3Q0rDXANcg02DPsM/Q1ADZ8N/Q5TDqUO6g8WDy0PQA9TD1sPUA9ADz8PVg90D4oPjw+FD2sPRA8hDxMPHA8kDxMO4w6iDlwOEw3KDYwNZA1PDUINOQ0yDS8NKA0XDQQM+wz+DP0M7QzQDKwMggxKDAYLwguGC08LEwrRCpUKaQpRChgKHQorCioKCQnUCa0JqQm9CdEJ3wn2Ch0KRgpkCnsKnwrVCw0LOgtjC5ALuwvRC8sLvAu0C60LmAt4C2kLegufC7kLtguiC5ULlQuXC44LdgtbC0YLOws2Cy8LIQsRCwAK7ArMCqMKggp4CoQKlQqbCp0KqgrKCvQLHAtAC2cLkgu7C9sL9gwODBwMEwvoC5wLPQrhCpcKaApMCjEKCwnaCagJeQlJCRYI5QjACKQIhgheCDAIBAfcB7AHewdBBwsG2AakBmcGJgXrBcEFrQWrBbIFtgWxBacFnwWbBZQFhwVzBWAFVQVTBVUFUgVGBTQFJgUeBRUFAQTnBNoE6gUSBToFVwVwBY4FpAWUBU8E8wSvBJ8ErwTABM0E7wU7BZ4F8QYWBhQGBQX1BdwFqwVkBRwE6gTSBMYEtgSdBIIEbARXBDgEBgPFA4ADQwMMAtQCkQJAAekBkwFBAPAAlwA1/9P/gv9K/x7+6P6b/jT9vv1E/M78Xfvu+3r6/vp9+gD5jfkf+K34M/ez9zT2vvZW9gL1wfWR9Wz1R/Ub9Oz0xfS09L/04PUS9VL1mvXZ9gH2EvYR9ff1sPU49Lb0XfRB9Eb0VPSK9SD2H/c5+AL4Rvgl9+H3pPdx90T3Gfbx9sX2mPZ39mn2Y/ZI9gn1svVg9SL08/TA9H70NPP289bz1fPo8/jz7/PG83vzGvKv8kXx2/Fn8NzwN++J7vDuj+517pXuze777wfu7+697oLuUu4+7kXuU+5W7lLuYe6T7s7u4O6w7lXuAO3J7aXtfO1U7UjtZu2Y7a/tju047MvsW+vy65HrP+sB6s7qlOpD6d7pc+kQ6Lroa+gg59jnk+dR5xHm1Oab5mrmP+YX5e/lyuWy5a3ltOW45bblu+XS5fPmDOYa5jPmb+bV52ToJekb6iTrBOud7Avsf+z97V/tnO3m7nnvRe/78F3wcPBM7/jvf+8m7zjvqfAI8ALvx+/C7/rv4u7/7YTsIOtF6sLqMOmP6ULpjOo76uLrT+ui7BPssu1f7evuNu5D7kPude7t74Lv9vBA8Inw8/Fm8bbx1/Hp8gbyLPJK8mHyePKG8nXySfIr8kLyi/Lb8xbzQPNv86bzz/Pe89zz3fPl8+vz6/Px9A30QvSB9L308/Uv9Xr1zvYc9lj2g/at9uX3M/eP9+X4JPhK+GT4hfiy+OT5FflH+YX50/ot+o768vta+8X8LPyM/OT9Nf2D/dL+KP6H/uz/Vv/IAEIAvgEuAYsB3gI4AqcDKAOqBBgEYASCBJMEtwUDBWsF0QYeBlcGjwbQBxgHZAe2CA8IaQjACRMJaAm+ChMKZgq8CxQLZAucC7kLywvgDAEMKwxaDIYMnAx+DBgLdgrCCiwJyQmRCXYJeQmrChgKsAtRC9sMRAyWDOENKA1jDYkNnQ2qDbYNww3ODd8OAw4+DocOxg7vDwQPFA8sD1APfA+oD88P9hAhEE0QaxB0EHsQnBDXEQgRFBEOER8ROhELEFsPhw9bEEoRzhKhEc4PiA0GC4MLXgwWDOUNXg2MDaQNug28DZoNYQ0yDRoNBgzeDJgMRAvyC7ELhAtpC1ILJArSCmsKGAntCdsJvQmDCT8JDQj2CO0I3QixCGEH8wd7BxcG0galBn0GVgY3BiUGFgX9BdUFowVtBTAE8QS0BIIEWgQ1BA8D5gO7A5IDawNNAzcDJAMJAuICrwJ3Aj4CDgHrAdQBwQGsAZMBegFaATAA/QDQALQApQCTAHQATQApAAv/8f/a/8j/uv+o/4r/Zf9D/yr/FP77/uD+xf6p/or+bP5W/kv+QP4p/gf95/3V/c/9yf28/an9mP2O/Yj9hf2F/Yn9j/2T/Zb9nP2o/bn9yP3T/dr93v3g/eT98P4J/ir+SP5d/mv+df58/n3+fP5+/oH+fP5n/kz+Ov43/jr+PP5F/l7+gP6Z/qz+1P8m/5H/5P/5/9D/iP87/vb+wf6l/qD+p/6r/q/+uf7K/tv+7P8F/yz/U/9t/3z/jP+m/8P/4QAEADUAZwCIAJEAlQCqAMoA4gDlAOAA5gD8ARMBHgEaAQ8BCgENARUBGQESAQIA7wDdAMUApQCEAHEAbgBvAGMASwA1AC4AMgAyACoAHAAN//r/4f/D/6X/iP9p/0j/Jv8E/uL+vf6Z/nf+V/40/g796f3H/af9hv1j/UH9JP0H/On8y/yu/JP8efxg/Ej8MPwU+/X71vu8+6X7jPtx+1f7QPsn+wn65/rG+qr6jvpy+lX6OPoZ+fj52fnC+bL5ofmM+XH5V/k8+R/4/vje+MD4ofh++Ff4MfgM9+f3wPea93f3Uvcq9v720fam9nz2UvYq9gT13/W39Y71ZfU99Rb08fTP9K70ivRh9Dj0EvPx88/zq/OG82PzQvMh8v/y3fK68pTyavI/8hbx7/HJ8aTxgPFf8T7xG/D38NPwrvCJ8GXwQ/Ag7/3v2++/76jvju9u70rvKO8O7vru6O7Y7sjuuO6m7pHueu5k7lPuS+5J7kruRu477i7uI+4b7hTuDu4K7gzuEe4Z7iLuKO4s7jDuOu5J7lfuX+5l7nHuhO6V7qDuqu677tTu6+797xDvKu9B70nvP+8u7ybvMe9d77nwRPDa8UHxW/FE8TrxZfG48gLyHfIM8e3x3/Hu8hXyS/KI8srzDfNM84fzxPQO9GX0wPUU9WX1vfYg9n72wfbe9uL25fb39xb3NPdJ91j3aveD95r3qfe198r37/gW+Cz4LPgh+Bf4C/f299n3xffE98j3sPdq9wP2n/ZV9iD18fXE9ab1qPXH9fH2EfYc9gr11/WA9RL0ofRF9Abz3/PN89Tz+PQw9Gv0l/Su9Lj0u/S49Kz0mvSN9JH0rfTa9Qn1MfVS9W/1ifWi9bz11/Xv9fn16/XP9bT1ofWP9XL1R/UT9NX0kfRi9HD0z/Vk9e72PPZL9jj2HfYC9ez14PXi9er16PXZ9cL1q/WN9WT1M/T+9ML0d/Ql8/Hz+vQ19GH0NfOk8u/yavIn8efxVPBj72buxu6h7sPu4+7o7uLu3e7N7p/uWu4T7dXtl+1Q7Qvs0uym7HrsR+wV6/Dr2OvH67jrrOum66jrsuvC69br7OwE7CHsROxq7I/ssezO7OXs8uz47Prs/Oz77Pfs9Oz17Pjs9uzq7Njsx+y57K3sp+yo7K/stuy97Mjs3Oz67RjtMu1I7WDtfu2j7crt8O4U7jnuYe6O7r7u7e8c70rveO+m79fwDvBL8IzwzvES8VzxqPHy8jfyefK+8wPzR/OL89X0JvR49MT1D/Vf9bf2D/Zk9rj3Dvdn98D4GPhz+NX5Ovmd+fv6WPq2+xX7c/vN/CH8dPzN/Tb9qv4c/oD+0/8f/2n/rv/kAAsALQBYAJAA0gEVAVEBhQG2AeYCEwI6AlwCgAKoAtAC9QMbA0kDfgOwA9cD+QQgBFEEhASxBNkFAgUvBVwFhwWwBdgF+wYYBjMGUwZ6BqUGzgb3ByMHUQd/B6sH0wf3CBcINghXCHwIoQjFCOYJAgkSCRkJIQkzCVIJeAmbCbwJ2wn1CgkKFAobCiIKKQovCjQKMwopChcKAwn1CfAJ8gn3CgQKGwo9CmcKlwrNCwULOAtmC5MLwAvtDBkMTQyMDNENCQ0qDTsNSQ1WDVsNUg0+DSQM/wzODJsMeAxpDGAMTgxEDGMMuw04DbQOFw5hDpwOyw7yDxQPNA9ID0YPNA8qDzwPZA+KD54Pnw+TD3gPTQ8hDwoPDQ8VDwcO2Q6XDkwN/Q2tDWUNNA0XDQYM+QzzDPgM/gz7DPAM5wziDNcMvwycDHkMVgwpC+wLqAtnCysK7QqtCnQKRwonCf8J9gn8CfoJ4Am0CZcJmwm1Cc0J4An9CikKVApwCoYKrgrsCywLYQuTC84MCwwxDDIMHwwMC/sL4Au+C6wLuQvZC/EL8QvfC80LxQvAC7cLpQuKC2wLUgtCCzYLJgsPCvUK2Qq2Co0KawphCm8KgQqGCoIKiQqkCsgK6QsKCzYLcAumC8gL2wvsC/wL+wvWC4wLMQraCpkKcApXCkEKJQoBCdUJogllCSII6QjGCLUIogh9CEYIBgfGB4YHRwcNBtkGrAZ+BkoGFAXhBbgFoQWcBaIFpAWdBY4FgQV6BXUFbAVdBUgFMQUeBRMFEQUTBRYFGgUfBR0FCgTpBM8E0wT0BR4FQAVeBYYFrAWvBXgFGgTGBKEEpQS1BMIE1QT/BToFcwWcBbYFywXYBdAFpwViBRoE6ATUBNME0QTCBKsElgSBBGMEMgPzA7EDdAM5AvoCsgJjAg0BtwFjAREAuABT/+3/mf9h/zr/C/7C/lv94f1f/N/8aPv6+4z7E/qN+gT5hPkN+Jf4GveX9xX2nfY29eH1ofVy9U/1LvUD9M70m/R79HH0dfSC9Jz0xPTv9Qn1DfUF9PH0vPRc8/Lzt/PJ9A30XfTA9WX2VvdW+Ab4P/gj9+v3svd39zz3EPb59uj2yPaa9mn2PPYI9cT1d/Ux9Pz00vSo9HX0OvQC89/z2vPp8+7zy/N48wLyg/IR8a/xVPDw8Hnv7u9f7ufun+6M7qDuve7O7s3uve6c7m3uP+4u7kLua+6G7ovuj+6n7sXuw+6M7jnt7u277ZHtZe1D7Ubtbu2W7ZPtUuzk7Gjr9euT60XrCera6qzqcOof6b3pW+kD6Ljocugr5+LnnOde5yfm8+bA5pLmaOY/5hDl3eWx5ZfliuWB5XXlcuWC5Zrlp+Wk5ajly+YU5njm9OeI6C3oxulF6bnqOeq86yTraeu17DHsz+1Y7bHt7u4p7k7uRe4l7iruXe587kPtze1z7VDtG+yE653qzepN6fLpgOkR6Qnpouqp66fsSOyJ7KTs1O0v7Z/t9u4h7j3ugu8D75jwCfBS8Jjw9fFU8Y3xnfGo8cTx6PIA8hDyJvJB8k7ySvJO8nTyuvMD8zzzbPOj8970BvQP9AXz//QG9BP0H/Qw9FT0jPTK9P71KvVb9Z/18PY+9nv2p/bO9wT3VPe2+BX4WPh2+IH4k/i6+PH5K/ln+a36Afph+sf7L/uY+/z8Wvy0/Q/9Z/26/gn+X/7C/y7/nAALAIEA9gFeAbMCBAJkAtgDTwO4BAsESAR3BKME3gUzBZcF9AY8BnYGsQbzBzoHhAfVCC8IjQjoCT4JkQngCi0KfQrRCyMLYQuEC5cLsQvaDA0MPwxsDJAMmAxnC/ALSAqdChYJvgmLCXkJlgn5Cp0LWgv7DGIMngzRDRANVQ2LDagNsg27DccN1Q3fDewOCA49DoMOxg72DxAPHw8yD1IPfA+nD9EP/hAwEF4QehCBEIYQohDUEQARDhEREScRPxEKEFYPdg8iD88RExHWETkPXg1NDBQMBgypDVANqA3KDegOBQ4CDc4Ngg1KDTANGwznDI4MJQvJC4ULWAs6CyAK+gq/CngKOwoZCgkJ9wnQCZcJVQkYCOgIxAiiCG4IIAfEB28HMQcCBtYGqQaDBmYGSwYpBf4FzAWUBVQFEATUBKgEhwRnBEEEFQPpA8ADnwOHA3IDVwMyAwYC2gKsAnsCSQIfAgEB7QHcAcoBuQGgAXcBPQECANYAvQCoAIsAaABKADQAIAAJ/+//2P/D/6r/iv9o/0v/NP8g/wn+6/7I/qb+jf6B/nr+bf5S/jH+FP4D/fv98v3k/dL9wf24/bT9tP21/bT9s/2z/bT9t/2+/cn91f3g/eb96P3o/ev9+P4S/jX+U/5m/nD+d/5+/n/+ev55/n7+gv55/mT+Vv5X/l/+Y/5m/nj+l/6y/sT+4/8s/5j/8QAI/9v/j/9I/xP+9f70/xX/Rv9s/3f/bv9a/z7/H/8R/yb/WP+K/6D/nv+d/7H/4AAbAFMAeACDAH8AgwCeAMcA6QD3APwBBQEYASwBOgE+ATsBNAEwATQBPQFBAToBLAEdAQoA7gDOALcAsgC0AKoAjwBzAGcAagBsAGIATwA7ACkAFf/8/+H/xf+n/4j/av9P/zP/EP7p/sP+ov6B/lz+NP4P/ez9yP2g/Xn9Vf02/Rj8+vzc/L/8o/yH/G78VPw3/Bb79fvZ+8H7qPuL+237UPs0+xf69vrX+rr6nvqA+mT6SPor+gn56PnP+b75rvmX+X35YvlH+Sj5A/jh+MT4qfiJ+GX4Qvgi+AP34Pe895j3cvdH9xf26fbA9pr2dPZN9if2APXX9az1g/Ve9Tv1F/Ty9Mz0o/R29Ej0HfP589jztPOO82jzRPMh8v/y2/K28pDyavJD8h7x9/HP8anxh/Fn8UbxIvD68NLwqvCD8F/wPvAd7/rv1++575/vhO9k70HvIu8K7vfu5O7R7r7uq+6X7n/uZu5R7kXuQe5D7kTuP+4z7iPuFO4K7gXuBe4H7gruD+4V7hzuH+4d7hzuI+4z7kTuTu5T7lzube5/7ozumO6o7r/u1u7q7v7vF+8v70DvTO9W71nvUO9G71/vuvBK8NfxKvE88TXxRvF98cfyA/Id8hjyBPH68gbyKfJc8pry4PMp823zqvPm9Cr0efTN9SP1gPXp9lv2v/cB9xr3Hfcj9zj3Vvdt93f3eveA94v3mveu98739vgZ+Cz4Mvg6+Er4V/hQ+Dj4Ivge+CH4C/fJ92D27faK9kL2DfXn9dX14PYI9jv2YvZs9lD2EPWt9TH0r/Q78+TzrPOY86/z7vRC9Iv0tfS/9Lj0q/SZ9IT0c/R09In0rfTT9PP1DvUo9UT1X/V79Zz1xPXq9f31+PXo9d312/XV9cL1qPWJ9Vj1BvSm9Hb0q/U29c32JPYw9hX1+/Xs9eL13fXn9fj1/vXv9dX1vvWs9Zb1ePVO9RH0tvRL8/3z9PQm9E/0LfPD81XzHPL98pzxvfCN74Tu/e7u7wbvC+787vbu/O7u7rjuZ+4Z7dztou1f7Rjs2+yp7HrsSOwV6+vry+u166brneuZ65rroOut68Dr1uvw7BHsN+xc7H7snuy97Nfs6Ozu7O/s7uzq7OLs2uzW7NXsz+zB7K/soOyU7Ifse+x27HzsiOyW7KXsuezR7O3tB+0f7TftU+137aLtzu317hruQu5v7p/uzO737yXvVu+I77jv6/An8Gzws/D48T7xhvHO8hPyVvKa8uHzKPNw87r0CPRX9KL06/U59ZD16PY/9pP26Pc+95P36PhD+Kf5EPl3+db6MvqP+u77Svuh+/H8Rfyp/R39lf3//lT+nv7n/y//bf+b/8D/6gAfAF8AoADcARIBRQF1AaUB0gH4AhkCOgJhAosCsgLYAwMDNgNpA5MDtQPbBAoEPQRtBJcEwATpBRIFOQVfBYYFqAXFBd4F/AYjBlEGgQauBtcG/gckB04HeQeiB8YH5ggHCCwIVQh/CKYIxgjaCOUI8QkHCSoJUwl8CaIJxQnhCfEJ+An7Cf8KBAoKChAKEQoLCf0J7QnjCeEJ5QnsCfsKFgo7CmcKmArOCwQLNQtjC5MLyQwADDIMYgycDOANIA1LDVsNVg1IDTINFwz6DN0MuwyKDE4MEwvqC9oL5gwTDGkM4w1oDdwOLw5lDo4Otw7jDxAPMw9CDzoPLA8uD0oPdQ+aD68PtA+sD5EPYQ8pDwAO8A7qDtUOpw5oDiIN1g2HDUANDAzrDNMMvwy1DL0MzgzZDNcMzgzDDLIMlgx0DFQMNgwOC9QLjgtICwcKzAqWCmcKPgoaCfgJ4AncCdsJzgm3CasJtAnKCdsJ7QoQCkgKfgqiCr4K7AswC3ULqwvcDBoMYQyUDJ8MiwxrDEwMKgwMDAAMDQwnDDYMMAweDAsL/gv1C+sL2Qu5C4wLYAtDCzYLKQsUCvgK2wq6CpQKcApgCmcKcwpzCmgKZgp5CpcKtQrVCwkLTQuMC7ILwQvMC9kL1guvC2YLEQrICpEKaQpKCjAKGAn8CdYJoglfCRcI2wi4CK0IpQiKCFQICAe0B2IHGgbhBrIGiAZeBjQGCAXdBbUFlgWHBYIFfgVxBWAFUwVOBUsFRAU3BSQFCwTxBOAE4ATwBQIFEAUXBRYFCATrBM8ExwTcBQAFIgVFBXEFoAW0BZIFQQTrBLUEpwSrBK8EsgS+BN4FDQVCBXQFngW2BbMFjwVQBQoE2QTJBM8E1gTOBLoEpgSRBHMERAQIA8wDkQNSAw0CwwJ3AiYB0AF6ASUAzgBsAAX/rv92/1P/Kf7h/nn9/P12/PL8dvwE+5X7HfqZ+g/5ifkJ+If4Afd49vL2dvYM9bf1ePVL9Sn1CPTe9Kv0evRa9Er0PPQp9Bn0HPQs9DX0LPQa9Afz4/Oj82TzXvOu9DD0q/Ub9a72f/de9/P4Gvf097v3g/dG9wX20/bA9rz2qvZ99j319fWt9Wn1LPT59M70pvR/9Ff0LPQD8+fz4PPj89LzlPMk8pfyB/GF8RfwuvBq8Bnvvu9b7wLux+6u7qruqO6g7pjuke6E7mbuP+4s7kHucO6Y7qbupe6m7qXujO5T7gztz+2h7XjtU+1E7Vjtfu2K7WDs/+yC7APrles+6wDq1+qz6obqSun/6a3pW+kP6MrohehA5/rnuueD51XnKOb75tHmrOaH5lrmIuXn5bjlmOWC5XPlceWA5ZvlsuW75b/lzuXu5h3mW+av5xrnjef36FvoxOk26abqEOp+6vnrcevO7BXsZezP7TPtZe1l7VvtYu1c7SLsuuxZ7Bfr0utY6rPqHem46WrpE+jO6O7pqOrW7AXsyu0D7Obs0Oz87WLtyu4M7jruie8N76LwGPBn8K3w/PFC8WPxZfFr8Yjxr/HM8d3x8/IV8jnyWfJ88qzy6fMk81jzi/PF8/z0G/Qc9Av0AfQK9CH0PfRd9In0wfT69Sn1TPV19bP2AvZU9pX2wvbp9x33cPfb+EX4jPij+J74o/jI+Qj5TfmP+db6KvqQ+v/7b/vX/DD8gPzS/S79jv3l/jb+j/75/27/4ABNALwBKwGPAeQCNQKXAwYDcAPGBAsESgSLBM0FFgVrBcgGHwZmBqMG4gcmB2sHsggACFcItAkPCWYJuwoNClwKqQrwCygLRQtSC2ULlAvZDBwMTAxnDHEMYAwgC6sLFQqACgkJuQmSCZsJ5Qp4C0AMCwyiDPENEg0tDVcNhw2oDbUNuA3BDdEN4Q3tDfYOCg4zDnAOtA7tDxAPJA82D1IPew+qD9sQDBA+EGgQhRCREJoQrxDUEPgRDhEdETcRRREHEFIPag7uD1IQThD+EJ0POQ2qDNIM7Q2KDhMOTw5lDoQOqQ6kDl4N8A2JDUENCwzMDHgMHAvHC38LQgsOCuMKwAqhCoEKYgpICjYKJgoQCeYJpAlWCQ8I4QjCCJwIYQgYB9MHmAdhBycG8AbFBqQGgQZVBiEF6gWvBW4FLAT0BMkEpwSFBF8ENAQLA+cDzQO9A6oDigNaAycC/ALWAqsCdwJGAiYCGAISAggB+AHgAbgBfgE7AQIA2wDAAKcAjgB4AGgAVwBAACIAAf/h/8H/o/+I/3D/Xf9J/zD/Dv7m/sL+q/6f/pf+h/5x/lr+Rv42/iX+FP4F/fj97v3m/eL94P3d/df90f3P/c/9z/3N/dD92P3k/e799P33/fr+BP4Y/jT+Tv5d/mX+bP51/nv+d/5x/nP+e/5//nj+cv54/ob+jv6R/p7+uv7W/uL+6/8P/1X/mf+y/5z/cf9J/y//Lf9X/7gAMwCWAL4ArABrAAb/kv8//zv/hf/hABAABv/v//YAHwBOAGoAcgB2AIQAnwDAAN4A8gD+AQkBFgEhASoBNAFDAVEBVwFVAVYBXgFnAWMBVAFGATsBLgEWAPwA7wDsAOUA0QC4AKsArACsAJ8AhwBuAFoARQAuABX//f/l/8v/sf+a/4D/Xv8z/wf+4f7A/p3+d/5R/i/+Df3l/bn9j/1p/Uf9J/0J/Ov8zfyu/JD8dfxZ/Dn8F/v3+9z7wfuk+4T7ZftG+yb7B/rq+s76sfqS+nT6Wfo++h75/Pnh+c75vPmj+YX5aPlN+S35CPjl+Mn4r/iR+G34Svgt+BL39PfT97H3ivde9y33APba9rj2lfZu9kb2HvXy9cT1mvV39Vf1NfUN9OL0tPSE9FT0KPQD8+HzvvOY83DzS/Mn8wPy3fK38pLybvJL8iXx/fHU8a3xi/Fr8UnxIfD48NDwqPB/8FnwNvAW7/bv1e+175jve+9d7z7vI+8N7vju4O7I7rPuoO6L7nHuWO5G7j7uPe4/7j3uNu4p7hfuBu367fft/e4H7hDuFu4b7h3uG+4U7g3uD+4d7i3uOe4/7kbuVe5n7nnuiO6Y7qnuu+7P7ujvAu8a7yzvQe9g737vh+9372vvje/t8HLw6/Ez8UjxR/FU8YTx0PIW8jjyL/IU8gXyFPI78nPyufMI81bzmfPR9Av0UvSn9QH1XfXE9jr2tPcX90z3WPdU91z3cveK95b3lveT95X3nfeu98r37vgT+DP4U/h2+Jj4p/ic+H74Zfhc+Fv4TPgZ97z3Q/bJ9mX2I/YB9fv2EPY/9nv2rPa+9qP2W/Xp9Vn0v/Qx88LzfPNp847z4vRJ9J30yfTQ9MX0s/Sd9Ij0fvSK9Kf0xfTZ9Ob09fUN9Sn1RfVj9Yr1ufXj9fj19/Xx9fX1//X/9e/13vXU9bv1cfT99KL0qvUd9a/2CvYX9f316/Xp9en16PX09g32HfYP9en1w/Wv9aj1oPWF9Uf04fRm9Afz5vP18/fzwvNy80vzX/Nh8uLxxvBu72/vEu8l70PvN+8V7wTvBu727r/ua+4Z7dXtmO1b7SDs6ey37ITsTuwb6+7ryeus65nrj+uK64jri+uX66rrwuve6//sJOxH7Gbsg+yi7L/s0OzU7NHszezL7Mfswuy/7Lrsr+yd7IvsfOxw7GTsVuxO7FPsYux47I3soey27M7s6u0F7R7tN+1X7YLtsu3e7gTuKu5U7oHuq+7T7wLvOO9v75/vz/AJ8E/wmPDc8RzxYPGn8fDyNvJ88sPzDPNV86Dz7fQ79If0z/Ub9W31xfYc9nH2xvca92z3wPga+H746PlO+a36B/ph+r77Gvtw+8L8HfyH/QD9dP3V/iL+aP6w/vb/LP9R/3T/pP/iACUAZACcAM8BAAEuAVoBhgGtAc8B8AIWAkMCcAKaAsQC8gMiA00DdAOdA8sD/AQrBFYEgASnBMsE6wUMBS4FTwVtBYgFpgXOBf8GNAZlBo0GrQbMBvEHHQdKB3QHmge/B+cIEgg/CGkIigiiCLIIxQjfCQAJJglOCXYJmgm0CcIJyAnOCdQJ2gncCd4J3wndCdYJ0AnNCdAJ1QngCfQKFAo8CmcKlgrJCv0LLAtaC40LygwMDEcMeAypDOUNJw1dDXkNew1mDUENEAzVDJYMVgwVC9wLuQu5C90MGwxpDMUNLA2UDe0OLA5aDoUOuQ7xDyAPOQ8+DzsPPA9LD2UPhA+hD7gPxg/ED6gPcA8pDuoOwQ6lDoUOVg4cDd4NnQ1aDRsM6wzJDKsMjgx9DIMMmQysDLAMpQyWDIUMbwxUDDcMGAvvC7QLbAshCuAKrAqECmQKRAoeCfkJ2wnTCdcJ2AnWCdoJ6An3CgAKEQo9CoQKygr8CyMLVwugC+YMFww7DGwMrAzkDPoM7QzNDKgMhQxtDGkMeAyIDIgMdQxaDEMMMwwnDBsMCAvhC6gLbwtKCzoLMAsdCwEK5ArFCp8KeQpgCl0KYgpbCkoKQgpOCmkKhQqoCt8LJwtpC5ELoguuC7cLrAt8CzEK5QqpCnoKUAolCf0J2wm5CZAJXQkiCOMIrQiMCIEIgQhzCEcH+wedB0IG+gbGBp8GeAZPBikGBQXgBbgFkQV2BWQFVQVCBTAFJgUjBSEFGQUNBP8E7QTbBNIE3ATzBQYFCwUHBQIE+wTtBNsE0ATYBO0FCAUoBVQFiAWqBZ8FYwURBM0EqQScBJUEjQSLBJ0ExgT+BTMFWgVuBWoFTQUaBN4EtASoBLQEvgS2BKIEjwR+BGMEOAQEA9ADmgNcAxICxgJ9AjEB3QGFATAA2wB+ABn/wv+J/2j/Qf75/o/+Ef2N/Qv8jPwR+5X7F/qU+hD5jPkD+Hb35/db9tP2U/Xj9Yz1T/Uk9QH03vSz9IL0U/Q09CP0EPPx88/zvPO687bzovOH82zzS/Md8wPzNPPC9HT1APVd9cj2cfcy97f30fek92n3OvcH9sj2jfZo9lf2Q/Yb9dz1jfU89Pj0yvSr9I30a/RL9DH0G/QE8+/z4PPM857zR/LO8kTxtPEj8J3wNe/0783vp+9x7zHu9+7N7q/uku567mzua+5q7l3uR+497k/udu6Y7qPunO6M7nTuTO4T7dftpe187VvtSu1X7Xrtku157SXsq+wo67DrS+r/6s7qseqV6m3qNun46bbpdOkw6O3oq+hs6DHn/efS56zniOdh5zznGeb25s3mmuZh5ivl/+Xd5cXlu+XD5d7mAOYb5ifmKuYs5jnmWeaR5uDnPOeS597oJ+iB6Pbpf+oP6pPq/etM65Lr5uxN7K7s6uz57PXs9Ozx7NvssOyA7E/sAut+6tPqN+nT6aDpfOlm6YzqIesb7CXs2O0F7N3swez27W3t5e4y7mjuue8277/wKvB18Lbw+fEv8UTxQ/FI8WbxjvGu8b/x0fHz8ibyZPKj8t7zFPNE83TzqPPd9Aj0G/QR8/jz5vPu9A/0PPRr9Jv0z/UF9TH1VPV69bP2AfZS9pT2wvbr9yT3fPfu+F34pvi7+LT4uvjn+TH5f/nC+gT6VfrA+zr7s/wZ/Gf8qPzv/Un9rP4H/lz+u/8u/6wAIACJAPEBXwHJAiUCfQLcA0EDmwPiBCEEZgSxBPsFRAWUBe0GQwaPBtEHEgdWB5gH2wgmCH4I2wk2CY4J5go+Co8K0gsBCxsLJQswC1ILjgvQC/sMBwwCC/YL2wugC0AKxwpOCewJswmxCe8KaQsSC88MfQz+DUwNdw2ZDb0N2g3lDeIN4Q3pDfgOBQ4MDhEOHg4+DnUOug76DyQPOA9ED1kPfw+0D+wQIBBMEHIQkRCpELkQyRDiEQARHhE5EVMRWBEWEGYPdw7RDucPmhAzEAAO/A3bDV4NsQ5fDtsO+g7xDv8PIA8lDugOcQ3nDXANGQzeDLEMhAxMDAQLrwtVCwYKzQqvCqIKlQqACmcKUgpACiMJ8AmtCW8JQwkfCPEIsQhsCC4H9AeyB2kHJwb3BtQGrwZ9BkEGAwXEBYYFSwUYBO0ExQSfBHoEWAQ3BBgD/gPsA9gDtgODA0wDHwL6AtACnAJrAk4CSAJJAkECLAIPAecBswF0ATUBAwDgAMkAtQCjAJIAfwBpAEsAJv/9/9f/uv+o/5r/if9w/0//KP8A/t7+xf60/qb+lf6G/nz+c/5i/kr+Mf4g/hf+EP4H/f/9+v33/fD96f3m/eb95f3h/d/95P3v/fn9//4C/gb+DP4Z/i3+Q/5S/lf+XP5n/nH+cf5p/mf+b/55/n3+fv6I/pz+rP60/r7+1f7v/vv++/8B/xv/Ov9I/0H/Mv8o/yn/Rf+cADoA+gGcAfIB8AGbAQAASP/F/74ALQC2APwA9ADXANgA6wDlALsAlACcANUBGgFBAUIBMQEoATIBPwE+AS4BIQErAUgBZAFyAXgBggGMAYkBdwFkAVsBVwFJAS0BEwEHAQMA+gDsAOIA4ADcANAAuwCnAJUAgQBpAFAAPQAqABT/+v/g/8f/pv98/03/JP8A/t7+uP6S/nD+T/4q/f790f2n/YD9Xf08/Rz8+vzW/LH8kfx2/Fn8OfwY+/j72fu6+5v7fPtb+zn7Gfr++uX6yPqn+ob6a/pS+jT6E/n3+eP5z/m0+ZT5dvlZ+Tn5E/jv+NP4ufia+HT4Ufg0+Bv3//fe97v3lvdt90H3Gfb49tn2tvaO9mT2OfYK9dn1rPWI9Wj1RvUc9O/0wPSR9GP0OfQV8/LzzfOl833zV/My8wzy5vK/8prydvJR8inx/vHT8azxi/Fp8UPxGfDv8MnwpPB88FPwLfAP7/Pv1e+275bvd+9a70HvKu8U7vvu3+7D7qvul+6B7mjuUe5B7jvuOe427jHuJ+4Z7gft9u3r7ert8u3+7gruEO4S7hDuC+4D7fzt+u4C7hHuH+4p7jHuPO5O7mHuc+6D7pHun+607tDu7+8I7xnvLe9P73zvoe+t76Lvn+/F8CPwpfEc8V7xYvFP8VrxnfH88kHyT/I08hbyEvIr8lnymvLq8z/zivPH9AD0Q/SU9Oz1RfWn9hv2nvcW92b3g/eA93n3g/eb97P3w/fI98X3wffA98v35fgN+EL4f/i5+N344PjH+KP4hfh0+Gj4Wfg49/b3jvcO9pn2SfYl9iP2PPZq9qn24/b/9un2mfYW9W/0vfQd86LzV/NE82nzvPQh9HT0o/S09Lf0tPSt9KX0pvS09Mn01vTY9Nz07fUK9Sv1SfVo9ZH1wPXo9fr1+/X89gr2GvYc9gz1/vX/9fr1w/VR9OD0w/UU9Zf19PYJ9fj18vYA9gv2DvYY9jL2SfY89gv10fWw9az1rvWX9Vb07fR49B/z9/Pp88PzdvMs8x7zP/Mt8oXxSO/z7xbu4u8S70DvPu8h7wru/O7f7qfuXu4U7c7tju1U7SXs+uzK7JLsWuwp7ADr2eu265vri+uA63rrfOuJ65/ruOvP6+vsCuwq7EfsZOyC7J7sruyu7KXsneyb7J3soOyk7KPsmuyH7HHsX+xQ7EPsNuwv7DHsQOxY7HLsi+yi7Lvs1+z27RHtKe1F7Wztme3E7ejuDe447mfuku667ujvIO9Z74vvt+/t8DDwePC68PnxO/GG8dTyHvJl8qzy9fM+84fz0/Qh9G70tvT/9U71o/X59k/2o/b290n3nff2+Ff4vfki+YD52vo0+o/66ftB+5j7+Pxj/NT9Pf2V/d/+Kf5z/rX+5P8F/yr/Xv+g/+MAHwBXAIsAugDkAQwBNQFeAYIBowHJAfYCKQJZAoUCrgLYAwMDMANfA48DvQPnBBAEOQRgBIMEoAS9BNsE+gUXBTMFVAV+BbEF6QYcBkUGYwZ+Bp4GxgbzByIHTwd8B6oH2QgICDEIUghqCIAImQi2CNQI8gkTCTYJVwlvCX4JiwmaCagJrQmqCaUJowmkCaUJqAmuCbgJxAnTCe0KEQo5CmEKiwq7Cu8LIAtOC4ILwwwMDFAMhgy2DOoNJg1bDXsNgA1uDUgNEAzGDHAMFwvPC6cLrQvgDC4MggzNDRENWQ2kDeoOIA5PDocOzQ8PDzQPOw82Dz4PVw90D4kPmA+oD7sPxw/AD5sPXA8NDsEOgw5TDicN9g3ADYwNWA0kDPMMyQynDIYMZgxRDFQMbAyFDIwMfQxmDFIMQAwrDBEL8AvFC4gLPwr1CrkKkAp4CmUKSgokCgIJ6QnmCfAJ+goBCg0KHQorCjUKSgqBCtYLLgtwC6IL3QwnDGsMlQyqDMQM8A0fDT0NPw0tDRAM8wzgDOAM7wz8DPMM0gymDH4MYAxNDD8MKgwDC8kLjAthC0wLPgspCwsK6grHCqAKdgpZCk4KSwpCCi8KIgopCkAKXgqFCrwK/ws8C2QLeQuKC5MLgQtLCv8KuwqKCmEKMQn5CcAJiglUCR8I7Ai/CJUIbQhPCEIIRAhBCCEH2wd9ByIG4Aa4BpsGegZSBioGBAXeBbIFhwVlBU0FOAUhBQ4FBAUBBP4E9gTsBOUE4ATeBOYE+gUSBRwFEQT9BPIE9AT5BPYE7wTrBO8E+QUNBTIFZQWRBZkFcgUqBN4EpQSGBHUEawRoBHEEiwSwBNUE8AT+BP0E6QTBBJEEcQRvBIQEkwSNBHgEZQRXBEIEIAP3A88DogNkAxYCxgJ+AjcB6AGSAT8A7wCXADX/3P+h/37/V/8P/qT+J/2n/Sj8pvwf+5X7DPqH+gb5gfjz+F73zfdE9r72PPXF9Wr1LfUD9OD0vPSU9GT0NPQO8/jz5vPM863zmPOP84LzaPNG8yTy/PLP8sfzIPPh9Lr1TfWN9cf2QPbg91L3Z/c69wf25fbA9or2TfYc9fz13/W39Xn1JfTM9IX0YPRS9EX0L/QY9Anz//Pw89nzuvOK8z7y2PJm8fLxdfDl8FHv3u+k75fvlO9971HvG+7k7q/ugO5d7k3uSu5N7kzuTe5Y7m/uiO6U7ovudO5W7jLuBO3O7Zntbe1N7UDtTO1y7Zftle1V7OHsWevc63LrHOrd6rfqouqO6m/qROoQ6dbplelQ6Q3o0eib6GzoQugf5/7n3+fA56Hngedf5znnDubg5q/mgOZX5jbmIeYc5ivmSuZq5n3mf+aA5o7mreba5xPnVeea59voG+ht6ODpb+oB6nvq2usp63nrzewg7Gnso+zL7Obs9+0C7QvtE+0W7QTsvewy63zq2uqF6oHqoeq56tLrGeul7EvsvuzZ7MPsz+0o7bTuNe6M7tHvJ++U7/rwQ/B48K7w6/Eb8THxNfE+8Vnxf/Ge8a3xuvHa8hnybvLF8wnzOvNj85Hzw/Pw9A70FvQE8+DzwPO+8+L0HPRV9IT0tPTq9R/1SvVy9aj18PY79nr2qfbZ9xz3evfo+FD4l/i4+MT43fkX+Wj5uPn5+jj6i/r7+337+vxc/J780f0P/Wf9zP4u/on+8P9r/+8AZgDNATMBowIWAn0C2QMzA4oD0wQMBEMEhwTUBR4FZQWzBgwGZga0BvgHOgd6B7YH9QhBCJ8JBQlkCbsKDgpdCp8KzQroCvoLEAszC2ELiAuRC3YLSwsuCygLIQsACrwKYgoJCcoJvQn1Cm4LCQulDC4Mow0JDWINsA3xDiMOPg5FDkEOPw5BDkAOOQ4vDioOMw5TDo4O2g8hD0wPWQ9aD2YPig/BD/8QMxBaEHoQnRDAENkQ6BD8ERwRQhFhEXQRcxE6EJ8PtA7pDrsPLA+nD4EOqw3FDYcODw7ZD08PSA8NDu4O/w8VDwAOsA41DbUNWQ0zDTcNPg0nDOcMhgwUC6ELQgsDCuMK0Aq4CpkKfApnCk8KKAn5Cc4Jqgl+CT8I9gi2CIUIUwgQB70HbwczBwcG2gajBmIGHgXcBaAFawU/BRYE7QTHBKgEkAR4BFoEOQQZA/sD1QOkA28DQAMaAvUCygKiAosChAKBAnMCWAI2Ag8B4gGsAXIBPAESAPUA3wDKALMAmgCBAGUAQwAb//b/3v/U/8v/tv+S/2n/RP8l/wn+8P7Y/sP+sf6m/qH+nP6L/m3+UP48/jP+K/4f/hX+Ef4Q/gv+A/39/fz9/f37/fr9/v4F/gj+B/4G/gj+Df4V/iT+OP5J/lH+VP5c/mn+b/5q/mT+av54/oP+if6U/qv+xP7S/tj+5P74/wr/EP8S/xb/Hf8d/xn/GP8f/y7/Wf+9AGYBNAHsAmECfgI8AaUA8wCJAK8BRwHgAiECGgIXAjoCTwIVAZcBLwEpAX0B4AIPAgIB3AHIAc0B0AGzAXIBLwESAScBUwF0AYMBjgGcAaABkgF8AW8BbQFlAU8BMgEgARwBGgEUAQsBBAD9APIA5QDbANIAwwCqAJEAfQBsAFYAOQAdAAb/7P/J/57/c/9P/yv/A/7a/rT+j/5p/j/+E/3q/cD9mP1y/U79Kv0B/Nf8sfyS/HX8V/w2/BT78fvP+677jvtu+0z7LfsT+vz64Pq9+pr6ffpk+kf6J/oL+fb54vnJ+an5ivls+Uv5JvkC+OT4yfip+IP4YfhF+Cr4Cvfl9773mvd391P3M/cW9vf21Paq9n72UPYe9er1u/WU9XP1TvUk9Pf0yvSg9Hf0UfQs9Abz3fOx84fzYPM68xTy7fLH8qLye/JS8ifx+vHO8ajxhvFk8TzxEfDn8MLwn/B68FHwK/AM7/Lv2O+675nvee9d70bvMu8c7wLu4u7D7qnuk+587mPuTu5A7jjuMu4s7iLuFu4H7fXt5e3b7drt4O3p7fDt8u3v7evt6O3n7eXt5O3o7fXuB+4W7iDuKe427kjuWu5r7nnui+6h7r7u3O727wvvHu84717vjO+x77zvsu+w7+HwVfDo8VjxefFh8U/xefHV8jDyXPJT8jXyIvIo8knyg/LP8yXzdvO68/b0MvR49Mn1IvWF9fn2e/b792D3lPec95H3jvei98f37fgE+AX39vfk99337PgT+FH4m/jc+P74+/jh+MX4rviV+HX4U/gy+AT3uPdL9tn2g/ZZ9lP2aPaT9s73Bvci9wr2s/Yj9W/0s/QO85LzR/Mu80fzh/PY9B70TPRp9IH0mPSs9Lv0yfTX9N703PTY9OH0/fUk9Uj1ZPV/9Z/1w/Xg9e318PX29gj2HfYm9h32FfYb9iH1/fWd9Sr08fUe9Yz17PYS9hD2FPYr9kH2R/ZL9l72dfZv9j/1/PXN9b/1uvWa9U704/R+9D/0KfQf8/nzrfNc8yjzAvKm8d3wvu+q7v/u0+7x7xjvKu8s7yDvAe7M7o3uUu4b7d7tmu1e7THtCuzZ7J3sY+w17BDr6uvB657riOt663Lrc+uB65jrruvC69jr9OwS7C7sSOxi7Hnsh+yH7H7sdOxu7G/sdex+7ITsgexy7FzsRewy7CPsGewU7BbsIew17FLsceyN7Kjsxezl7QPtHe047VntgO2l7cbt6u4b7lHug+6u7tvvEO9J73vvqO/Z8BbwWvCa8NnxHvFt8b3yCPJQ8pfy4PMo827ztfQB9E/0mvTk9TL1hfXa9i32f/bS9yb3fPfU+DD4kfjz+VT5sfoM+mX6vfsY+3b72/xD/Kf9AP1P/Zn95f4u/mn+lP63/uP/Hv9h/6H/2wATAEgAdwCeAMEA6QESATkBXAGAAa0B4QIVAkMCagKPArkC6QMdA08DewOiA8YD6wQSBDYEVQRzBJAErQTKBOcFCgU1BWkFoQXVBgAGIQY9BlsGfwapBtcHCQc8B3AHpAfUB/wIGwg0CE0IawiKCKYIvgjXCPIJDQkjCTYJTAllCXcJeglyCWkJZQlnCW0JdgmGCZoJrwnGCeMKCAowClUKewqpCtwLDws+C3ILsgv8DEYMhgy/DPcNLw1cDXENbA1TDS0M9wywDFsMCQvSC8gL7gw0DIMMxgz2DSENVg2WDdYODg5GDo8O5Q8pD0MPOQ8wD0QPcQ+ZD6sPrw+zD7kPsw+YD2cPJg7cDpAOSA4KDdMNnQ1nDTcNDQznDMEMnQx9DGAMRAwzDDgMVAxwDHcMYQw8DBsMAwvwC9sLvwuXC18LGQrUCp8KgQp0CmgKUAopChoKDwoWCiIKKgouCjYKRgpYCmkKiArICygLjgvgDB8MXQyjDOQNCQ0VDR4NNQ1XDXUNhA2EDXUNXw1MDUsNXQ1yDXENTA0NDMgMkQxtDFgMQwwfC+sLswuEC2ULTQs0CxQK8ArICpwKcApQCj8KOAotChsKCwoLCh0KPQpoCp8K2wsPCzILTAtiC2wLWQsjCt0Knwp0CkwKGQnZCZEJRgj7CLYIgwhkCE0IMggYCAkICggLB/EHsAdWBv4GwgakBpQGfQZYBisF/AXLBZoFbQVNBTkFJwURBPsE7ATlBOQE4gTiBOQE5wTtBP0FFgUsBS0FFwT7BO4E9gUGBREFEQUJBP4E9AT2BQ0FNwVjBXkFaAUyBOkEpARyBFcETQRKBEgESQRQBGEEeASNBJYEiQRkBDkEIAQqBEsEZgRnBFUEQAQxBB8EBgPqA9ADrANvAxwCxwJ/Aj0B9QGmAVkBDQC5AFn///+//5f/av8h/rb+O/27/Tr8tPwo+5j7CvqC+fz5cfjb+EL3svcu9qz2KPWu9U71DfTh9L70oPSC9Fv0K/P+897zyfOz85vzifN882jzSvMo8wfy3PKs8qvzH/QI9QT1oPXG9cv2B/Zz9sj21fay9ov2b/ZN9hv16fXG9bD1mfVx9S/01PRy9Cn0CfQI9Afz+PPi89LzxfOv84vzWfMV8rjySvHg8YHxHPCg8Bjvre9473Dvc+9q707vI+7q7qnube5G7jbuMu4z7jruTu5u7o3umO6J7mTuNu4K7eHttu2H7VjtMu0i7S/tV+2D7ZPtbO0K7IjsCOub60XrAurU6rrqruqh6o3qbOo+6f7psulk6R/o5+i36IzoZehD6CPoBefs59fnwOej53/nWOcy5wjm3Oay5pDmeeZt5nLmheag5rPmv+bO5uznFOc651nngOe45//oTein6Rnpm+oV6nHqtOr260TrkuvX7BbsXeyo7OXtCu0c7S3tSO1k7WvtQOzT7Dvrset064/r1OwC7AjsDOw07Hjsq+y47L/s9O1m7fPudO7d70DvpO/78DTwU/Bv8Jzw1PED8R3xKPE28VHxdvGX8arxufHc8iPyhPLj8ybzUvN686nz2fP+9BT0FvQB89TzpPOU87Lz7fQk9FD0fvS89QH1OvVo9Zv13fYi9l32j/bI9xT3b/fO+Cb4bvim+NX5C/lS+aT58Pow+nP6y/s++8D8N/yQ/Mn89f0x/Yr99f5f/sL/Lf+tADUAsAEbAYQB9wJsAtQDLAN+A8sECQQ3BGYEpQTyBUAFiwXaBjEGiQbWBxoHWweZB9AICAhSCLQJIgmGCdkKHQpVCn8KmgqzCtgLDQtDC2ELTgsGCqMKVwpBClgKcQppCj4KBAnWCcsJ+QppCwgLqAwkDHYMug0HDWENvA4IDkAOZA58Do0OmQ6WDn8OWg41DiEOJw5MDpMO6w86D2gPcw9wD3gPmg/TEBEQRRBnEIUQqhDSEPERAhEXET4RaxGHEZARjxFwEP4QKw9ODu0PJw99D0UOZw2JDWUOFA78D3EPSw7fDpAOgw6aDqcOhw42DdANhA11DZQNsg2oDXUNKQzPDGIL6gt8Cy8K/wrdCr4KowqNCnQKUgorCgcJ4wmxCW8JLQj8CNoIsghzCCEHzAeDB0YHDAbNBokGQQX7BbwFiwVlBUQFIwUBBOUE0AS6BJ0EdgRKBB4D8QO/A4sDXAM4AxwDBALtAtoCywK8AqYCiAJmAkACFwHoAbUBggFSASkBCgDvANQAtQCVAHcAWgA9ACIAEAAH//v/3v+y/4j/a/9a/0j/Lv8R/vf+5P7Y/tD+xv6y/pP+dP5e/lP+Sf49/jX+Nf43/jL+Jf4a/hf+GP4Z/hn+Gv4a/hb+D/4M/g/+E/4W/h3+Lf5B/k7+U/5a/mj+c/50/nD+df6H/pn+pf6w/sX+4f7z/vb++P8D/xb/Jv8v/zL/NP81/zj/Qf9P/2H/hf/PAEkA5AF5AeUCEgHvAY0BKgEhAZkCTALHAtgCyQL9A3YDxwOOAuECPAIFAjkCkALLAt8C5QLwAvgC4AKMAgEBbgERAQYBMQFeAXEBeAGGAZkBnAGNAXsBdAF1AW4BXgFQAUkBRgFAATUBKwEiARcBDAEFAQEA9gDhAMcAsgCgAIoAbwBVAEIAMAAV/+//xv+h/37/V/8s/wH+1v6r/n7+VP4r/gH90/2m/X39Vv0t/QD81fyw/I/8bvxN/Cz8CPvj+7/7nvuA+2L7RPsq+xL69frS+q/6kPp1+lf6NvoX+gD57PnV+bj5mvl9+V35OvkX+Pn43Pi8+Jn4evhf+EP4Hffw98X3ofeC92T3R/cq9wr25fa79o72XvYr9ff1yPWh9Xz1VPUp9P300vSr9Ib0YvQ79BLz5PO284nzX/M38xHy7fLJ8qPye/JQ8iTx+fHO8abxgvFf8TrxEfDn8MLwoPB88FfwMfAR7/Xv2u+9757vf+9k703vOu8l7wru6u7K7q/ul+5+7mXuT+5A7jbuLe4k7hruDO367ebt1u3N7cztze3O7c7tyu3D7b7twe3K7dHt0+3W7eLt9+4K7hbuHO4m7jXuRu5X7mjuf+6Y7rDuxu7f7vvvF+8t70LvYu+M76zvr++i77LwB/CX8SLxa/Fs8VjxafGv8gvyUfJp8lryPPIq8jjyafKz8wfzWvOl8+X0HvRX9J309vVe9dD2SvbF9zT3g/em96X3nfeo9833/vgi+Cv4HvgK+AL4Dfgt+GL4pfjk+Qr5FPkR+RL5Evj9+Mf4gPg++Af3yfd39xj2xfaS9oT2lfa/9vb3Jfcz9w72sfYg9W30tfQS85fzSvMp8zLzXfOY887z9/QY9Dz0Z/ST9Ln01/Tp9O706/Tt9QD1JfVO9W/1hvWX9aT1rfWx9bL1tfXA9df19vYS9iT2LfY49kD2LPXk9Xz1MPU59Y/1+PY39kj2TvZi9nf2e/Z19nr2jvaV9nf2PfYI9er10/Wh9UX01vR+9Fj0YfR39HT0QvPh82Hyz/Ir8XnwyfAx77vvZO8o7w/vHO8+70zvK+7j7pbuXe4w7fntte117UTtGuzo7Krsb+xA7Bjr7uvB65vrg+t2627rbut464vroeu2683r6ewH7CDsM+xE7FXsYuxo7GbsXuxV7E/sT+xW7FzsXOxR7D7sKOwT7APr++v56/3sB+wX7DHsUux07JLsr+zO7O3tCu0o7Ujtau2K7aftyu387jbubu6d7sru/u83723vne/O8AbwQvB/8L7xBvFV8aPx6/Iv8nfywfMJ80vzjvPX9CT0dPTF9Rf1a/W99gz2W/au9wX3Xfe0+Av4Z/jI+Sr5ifnl+jz6lPrx+1j7xPwr/Ib80/0a/WL9qf3m/hX+PP5o/qD+4v8l/2P/nP/TAAcAMwBYAHsAogDLAPQBGgFCAW8BoQHUAgICKQJNAnQCogLVAwgDNANZA3sDnQPBA+QEBwQoBEgEZwSEBKIExwT0BSgFXgWSBb4F4wYEBiQGRwZvBpwGzgcFBzsHbwefB8cH5gf+CBkIOQhbCHgIjwiiCLYIygjcCPEJDAkoCTgJNwktCSUJJQkqCTEJQQlaCXkJlwmzCdMJ9woeCkIKaQqVCscK+AsnC1oLmAvfDCoMcgy4DP0NOw1lDXENYA08DQ0M0wyMDEAMBAvvDAgMQwyGDLwM3wz2DRINPQ15DbkN+w5EDp8O/Q8/D1APPw84D1IPgg+pD7gPuA+1D60Pkg9jDyoO8A6yDmsOIA3aDZoNXg0jDPAMyQyoDIkMagxPDDoMKgwiDCsMRgxiDGYMSAwUC+MLwAutC58LjwtzC0QLBgrGCpkKhAp9CnMKWgo3CkMKRwpXCmMKZQpgCmEKbQqBCpgKvgsCC2cL2Aw4DIEMvQz6DTINVw1lDWsNeQ2RDaoNvQ3HDcMNsQ2bDZINpQ3IDd0NxA18DR4MzAyVDHUMWgw4DAwL2QunC3sLVws6Cx0K+QrOCp4KcQpOCjgKLAofCg0J+wnzCf8KIApRCokKvgroCwgLIws8C0cLNAsDCsIKiApbCjIJ/gm8CXAJGgjCCHUIQwgqCBwICAfuB9sH2AfWB70HgAcrBtYGmwaABncGagZNBiAF6QWxBX4FVQU7BSwFHgUMBPUE4QTYBNoE5wT1BP8FAAT+BQUFGQUqBSoFFgT9BPAE9wUIBRcFHgUYBQUE7QTeBOYFAwUpBUYFTAUzBPsEsQRsBEIEMwQtBCAEBwP1A/sEGQQ9BFEESAQmA/8D7AP5BB0EPQRFBDcEIgQPA/0D6gPZA8gDqgNvAx0CxwKAAkMCAgG5AW8BJQDTAHYAHP/X/6X/bv8f/rf+P/3C/T78tfwp+5/7FPqJ+fj5X/jA+CX3lvcU9pT2E/Wa9Tj08fS99Jf0f/Rt9FP0KvP789XzufOe84XzcvNi80zzLvMS8vry1fKn8q/zOfRE9Vv1+fYB9c31wfXu9h32JfYR9fj12PWk9Wf1PfU09Tv1N/UY9Nr0g/Qm8+TzyvPL88XzrPON83XzX/M78wfyyPJ78hnxqPE88OHwjfAv783vgO9b71LvTu9D7zDvEe7c7pfuVe4t7iDuH+4g7inuRu5v7o3uje5q7i/t8O277ZTtc+1P7SjtDO0O7TPtZu2B7WjtFeyi7C7ryet26zHq/erd6s7qyOq/6rDqlOpl6h3pxuly6S3o9+jH6Jzod+hY6DvoH+gJ5/3n8+fh58Pnn+d751XnKucC5uPm0ObI5srm1+br5v7nD+cn503nd+eU56Pnuefr6Dfoj+jw6V3p0uo16nPqluq76vLrMOtt67DsBOxe7KTsy+ze7PTtFO027U3tSO0Y7MPsauw+7FPshuyk7JfsfOx07IPsluyo7MvtFu2C7fzueO7573zv7PAu8ETwSfBd8Ibwt/Dg8PnxC/Ef8UHxbvGa8brx1PH98kbypfL68zLzV/OB87Xz5vQG9BP0EvP9883zl/N985Hzw/Py9Bj0SPSR9OX1K/Vd9Y71zfYR9k72g/bB9w73Yfev9/r4SPic+PD5QfmQ+d36Jvpp+rP7D/t++/P8W/yq/OH9FP1X/bb+J/6U/vr/Zv/lAG8A7gFeAcoCPAKrAwgDWAOnA/YEOARjBIoExQUXBW0FugYDBlEGpAbxBzgHege2B+kIGQhWCK0JEwl0CcMKAQoyClgKeQqiCtgLEws1CyIK0gpaCegJqwmxCdwJ/An3CdwJygnZChIKeAsIC6kMNgyVDM8NAQ0+DX8NtQ3ZDfMOEw5ADnYOoA6rDo8OWg4mDgcOBw4tDncO1Q8sD2IPdw9+D44PsQ/nECMQVhB6EJoQwRDrEQkRGBEtEVoRixGkEaYRrRGyEXUQyA/sD2oPeA+jD0IOPw1IDSQN5g7nD20PSg7VDnMOSQ5FDkQOKw3tDZwNZQ1iDYANjg11DUsNMA0bDOMMdAvmC2kLFgrnCssKuQqpCpYKeQpUCiwKAAnOCZkJawlICSUI8gitCF0IDgfGB4IHQAb9BrkGcQYpBegFtQWRBXkFYgVIBSgFCATsBNIEsgSIBFMEGwPjA60DfgNaA0UDOwMyAyUDEQL5At4CwAKgAnoCTwIhAfIBwAGKAVUBKAEJAPAA0gCuAI0AcwBhAFAAQAAyAB3//f/T/7D/nv+W/4f/av9I/y7/Hf8Q/wL+8P7Z/rz+nv6H/nn+b/5m/mH+Yv5j/lz+TP4//jv+Pv49/jb+L/4q/ib+If4i/ij+K/4n/iL+J/45/kv+Vv5f/m3+ff6E/oT+i/6g/rr+zP7X/uf+/v8S/xr/HP8l/zX/Rv9P/1P/Wf9j/3H/gf+T/6X/uv/dABgAaQDAAQYBIgEMANwA2QE/AgICtQLvArgClgL+A9UEgQSDA+sDMwLAAqcCyQMRA3cD6QQ/BFMEEwN/AqoByQEnAPEBEgFGAV0BXQFnAYMBmgGYAYQBdwF6AYIBggF7AXMBbAFlAVwBVgFPAUQBNAEnASABGAEHAPAA2gDKALkApACPAH4AbwBXADQADf/q/8j/pP99/1T/Kf77/sv+nv5z/kX+Ef3b/an9fv1U/Sj8+/zQ/Kj8gvxg/D/8Hvv5+9T7s/uW+3z7X/tC+yb7CPrm+sP6o/qH+mj6Rfoi+gb58Pna+b/5o/mG+Wf5Rvkl+Qf46vjM+Kz4kfh4+Fr4MPgA99P3r/eS93X3Vfcy9w726Pa+9pH2YPYu9f/11fWv9Yj1XPUs9P/01fSu9Ij0YfQ59A7z4POx84PzVvMs8wfy5vLG8qLyevJR8iryAvHY8azxgvFe8T3xG/D18M/wqvCG8GHwPPAZ7/nv3O/A76Tvie9v71jvQ+8s7xHu8+7U7rnuoO6G7mzuVu5E7jbuK+4i7hjuCe307d7tze3G7cPtv+267bTtre2l7aPtqu267cjtze3P7drt8O4F7hHuFe4e7i3uPe5M7l/uee6U7qbusO7E7urvF+807z7vSu9q75TvrO+p76jv2PBF8MzxNPFj8Wnxb/GW8eDyNfJx8nvyWfIv8ibyS/KS8ubzOvOL89T0D/RC9H700vU59aX2DvZ79uz3VPea97T3s/e198739/gb+Cv4Kvgo+C/4Qfhb+IL4ufj2+Sr5TPlm+Yf5pfmk+Wr5A/iR+DP37Pes92T3F/bV9rP2vvbt9yX3SfdD9w32qfYd9Xb0x/Qo86rzVfMr8yvzSvN486XzyfPp9A/0P/R39K302fT29QX1DfUa9TH1UfVw9Yv1nvWm9Zz1gvVj9VL1VPVn9Yb1s/Xq9h/2Q/ZW9l72VfYm9c71cvVS9Y32APZl9pX2n/aj9qn2o/aQ9of2lfaq9qX2ffZI9h719fWx9Uj00/SA9Gj0hvS89N30wPRL84bypvHy8ZfxgvFu8Rfwcu+17zTvFe8972PvVO8P7rvud+5B7gjtx+2K7VntL+z+7MTsiuxX7Cfr9+vH66Lri+t+63brcet164Lrluuu68nr5uwB7BXsI+wv7DvsR+xT7FjsVOxJ7DzsNew17DjsNewr7BvsCuv36+Xr2uva6+Pr8OwA7BfsNuxa7H3sm+y37NXs9e0W7TftV+107ZDtsO3a7g/uRe547qru4O8a71Pvie+77+/wJfBf8J/w6PE18X/xwPIA8kXyj/LW8xjzWvOh8/D0RvSe9Pb1SvWZ9eT2MvaI9uT3PveU9+n4Qvif+P75XPm2+g76Z/rI+zT7pfwO/Gb8r/zz/Tf9dP2h/cP96P4d/mH+qP7p/yX/Xf+T/8L/6QAOADQAXACDAKsA1gEFATYBZwGVAcAB6AIPAjYCYAKNArsC5gMMAy8DUgNzA5UDtwPbA/8EIQRCBGQEjAS5BOwFHwVQBXwFpAXJBe4GFQY+Bm0GoQbXBwwHPwdsB5QHsgfJB+IIAggkCEQIXghzCIQIkgifCLEIygjgCOoI5QjeCN0I5QjuCPsJEAkxCVcJewmaCbsJ3goECikKUQp+Cq0K3AsJCzwLeAu8DAQMTgybDOgNLA1aDWkNWw03DQMMwQxzDCsMAgwMDEQMjAzGDOcM9Q0ADRMNNg1qDa0N/g5eDsUPIA9VD10PTw9ND2UPhg+aD50PmQ+WD4gPZg8zDv4OzA6VDlIOBw2/DX4NPgz+DMUMmQx4DFoMPQwnDBsMFQwVDB0MMQxFDEQMIQvnC60LhAtwC2gLYgtRCy0K+ArBCpwKjwqNCoQKbQpSCngKiAqeCqwKrQqmCqMKqgq6CtAK9Qs4C5wMEAx3DMEM9Q0kDVQNew2TDaINsw3IDd0N7A31DfYN6A3ODbwNxw3vDhUODw3ODWsNDgzNDKMMfwxZDC4L/gvHC44LXgs9CyMLAwrZCqgKeQpSCjUKIQoSCgIJ7wniCekKCgo+CnYKpgrLCukLBAsaCx8LCgrYCpkKXQotCgIJ1AmaCVMJAAioCFwIKggRCAAH5wfIB64HoAeVB3kHRAb5BqwGcQZRBkcGPwYrBgYF1wWoBX0FWQU9BSoFGgUMBPwE7QTmBO0FAgUbBSkFIwUQBQQFCAUUBRcFDAT7BPEE8QT5BQUFDQUJBPUE1wTABL8E0gTxBRMFLwU0BRIEywR3BDkEHgQRA/oD1AO2A7oD3AQFBBsEGwQMA/4D9gP4BAMEDgQRBAgD+APoA9gDygO+A7ADlANfAxMCxQKDAkkCCgHBAXYBKQDVAHkAHv/U/5b/Uv77/pf+Lv2+/UL8uvww+6r7IfqO+e/5SPij+Af3efb09nX1+/WN9S/04PSg9HL0WfRL9Db0EvPp88XzpfOD82PzTvNC8zPzHfMM8wHy5/LF8tvzevSa9bv2SfYl9bL1ZPVa9Wr1cPVr9V31NvTs9Jr0avRo9Hv0g/Ry9En0DPPK85bzffNu81DzI/L58uDyyfKc8lbyCPG18VXw5/B58CHv3e+j72/vS+887zjvMO8h7w7u8e7A7n3uPe4W7gnuBu4H7hPuMe5X7m3uYe4y7fHtr+187V/tTO027RjtBO0S7UHtbu1q7SHsruw/6+zrsOt26zrrCOrr6uDq2urO6rzqnupt6iTpz+l/6T7pCejY6LDoleiF6HXoXehJ6EDoQeg66CToBefj58DnmOdv50/nPuc55zznR+da527ngOeV57Pn1efx6APoHOhL6JHo3uky6ZDp9+pN6n3qjeqY6rLq2+sP607rmOvb7AXsGOwq7EvscuyS7KnsvezI7MDsqOyX7J3srOyr7JLsc+xj7Gfseeyd7NntJ+1+7d/uV+7r73/v6vAY8CHwKvBH8HHwl/C18M3w5PEB8SzxZfGg8c/x8/Ii8mryvvMC8yvzTPN787fz6fQA9ALz+fPj87rzivNx84LzrPPW8/r0LPR69NL1G/VM9Xz1uvYC9kP2fPa59wT3Uved9+r4Q/iq+RP5cfnE+hH6W/qj+vH7Svut/BD8aPyz/PX9Ov2N/fH+Xv7H/yn/kwAPAJUBEgGAAesCWwLFAxsDZgO7BBkEaASWBLoE9AVKBaEF4wYbBmIGvQcZB2IHmgfIB/QIHwhSCJQI5Qk6CYoJ1wofCmEKmwrPCvgLCgr0Cq8KTAnpCaMJjAmcCbUJuwmtCacJygogCpoLJgu2DDsMpwz3DTgNdw2xDdANxw2jDYMNhg22DgUOUQ57DngOWA4xDhUODw4mDl8OsA8CDz8PZw+FD6QPyg/5EDAQZRCQELgQ5REQESoRMRFBEWwRoBG7EcAR1BH6EesRZRCVD/8P5g/jD1UOJQ0FDMQNfg6NDzkPSw8IDsAOjA5iDjUN+Q2sDV4NMQ00DUYNNAz6DMwM2A0FDQoMswwaC4ELGwrmCswKuwqvCqQKlAp4Ck8KIAn0CdQJvAmbCWAJCwivCGEIIgfqB7AHcwc0BvUGsgZtBi0F9wXPBbYFpgWQBWsFPQUXBQAE7wTQBJwEWwQcA+MDsgOMA3IDZQNfA1kDTQM4AxwC+wLZArMChgJWAiUB8QG2AXYBPQEYAQIA7QDOAK8AmQCMAH4AZwBOADYAHP/+/+P/0//K/7j/l/9z/1r/TP9B/zD/Gv8E/uv+0f66/qv+ov6a/pP+jv6K/oH+df5t/m7+cf5q/ln+SP5A/kD+Q/5H/k7+UP5H/jn+M/4//lP+Y/5u/nv+jP6Z/p7+pv66/tf+7v76/wT/Fv8s/z7/Tf9c/23/ef96/3n/fv+M/53/rv+//9D/3//s//8AHwBLAG0AbgBLADAAYQEFAeECeAJzAgUBzgJCAzcEEARUBAQDdQLxApUCfgLTA5YEfwUkBUgE7wQ5A0QCOQFdAPIA+gE1AV0BYgFmAX4BmwGiAZABfgF7AYIBhgGCAXwBeAF0AXEBbwFtAWQBUwFDATkBMwEoARUBAgD0AOkA2wDLALsAqgCSAHMAUQAvAA7/7P/I/6X/gP9V/yT+8v7B/o3+U/4V/dv9qf16/Uz9Hvzy/Mf8nvx3/Ff8OPwW+/H7z/uy+5j7evtZ+zj7GPr4+tf6t/qa+nr6V/oz+hT5+fnh+cf5q/mN+W35Tfkt+Q/48fjT+Lb4nviG+Gf4PvgP9+X3xPeo94j3Yfc29wz24/a59oz2XfYu9gb14/XA9ZX1ZPUw9QD01fSs9IP0WvQw9AXz2/Ov84HzVPMp8wTy5vLK8qnygvJb8jfyE/Ho8bjxivFk8UjxLPEM8OXwvPCT8GvwRPAg8ADv4+/I76/vlu9+72bvTe807xju+u7d7sPuqe6P7nbuX+5L7jvuLu4i7hbuBe3v7dntyu3E7cDtue2v7aftoO2a7ZrtpO247cntzu3P7dft6u3+7gjuDO4W7ijuOe5H7lnuc+6O7p3uo+617uPvHu9G70/vTO9f74rvtO/E78Lv0vAP8Hfw6/FH8XnxifGX8cXyGPJv8pfyfvJG8iXyOvJ48sXzFvNq87z0APQ19G70vPUb9Xv11PYz9qT3HfeC97v3y/fN99j38fgO+CP4MfhC+Fv4d/iS+LT45vkn+Wb5l/m++er6G/o2+hT5rfke+Jn4QPgM99v3kfc49vX26/cV9073afdR9wj2m/YT9Xf00vQ387bzXfMv8yzzSPNz85/zxPPl9An0OPRy9K704/UI9SH1M/VF9Vb1ZvV39Yz1oPWi9YT1S/UT9Pj1AvUi9Uz1gPXE9g72RvZi9mz2bfZX9hD1p/Vd9XT16fZ39tX28fbr9t32yfas9pf2nva69sj2sPZ/9kv2FfXH9Vb03vSK9HT0mfTY9Qb07vRq84ryn/IT8hbycfKj8kjxYPBJ73TvGu8h70PvSO8f7tnuje5J7gvt0e2e7XDtRe0X7OLsq+x07EDsDuvi673ro+uR64TrfOt664Lrk+us68fr3+v07AXsFewj7C/sOexD7EnsRuw57CrsIOwf7CDsGewM6/7r8Ovg683rveu668fr2uvt7ALsH+xE7Grsi+yn7MPs4u0D7SPtQe1d7Xntlu247eLuEu5I7oDuuO7x7yjvXu+T78fv+/Az8HXwwPEN8VPxkPHM8g3yU/KZ8tzzIPNr8730FfRv9Mj1G/Vn9bH2AfZb9rv3F/dt98P4HPh2+M75JvmB+d/6Pvqf+wb7cfvX/C78ePy+/QL9O/1g/X39pP3h/in+bv6p/uH/Gf9O/3j/m//B/+wAFgA5AFwAiAC+APYBJgFQAXkBpAHOAfYCHQJEAmwCkwK7AuIDCAMrA00DbwOTA7kD3wQGBC0EWASFBLQE5AURBTwFZAWMBbYF4gYQBkMGegayBuYHFQdAB2QHgAeVB6sHxgfnCAgIJgg/CFMIYAhpCHYIhwiWCJkIlQiUCJwIqwi8CM8I6wkQCTgJXQl+CaAJwwnlCgkKMQpfCo4KuwrpCxsLVAuUC9gMIQxtDLkM+g0pDT4NPQ0nDPwMvQxvDCwMEww0DH4Mywz7DQwNEA0ZDSwNTA1/DcoOLg6eDwQPSg9nD2QPWw9fD3APew92D2cPWw9UD0gPLQ8FDtoOrA51DjMN7g2uDXQNNwz1DLcMhAxeDD4MIwwODAML/wv/DAMMCwwSDAkL5wuyC3wLVAs+CzULLwshCwQK2wqzCpwKmQqcCpcKhwp4Cq8KyQrkCvgLAAsBCwELBAsMCxsLOgt2C9UMRAylDOYNDw00DWINkw25DdMN6A39DgwOFQ4aDhsOEg36Dd8N2Q30DhkOHw3xDZ8NTw0TDOYMugyLDFsMKAvqC6ULaQtDCykLCgrfCq4KfwpUCi8KFAoDCfcJ5wnaCd4J/QouCmIKjQqwCs4K5wr1Cu4KzwqZClgKHAntCckJpgl6CT4I8wihCFkIJggHB+0HywejB3wHXQdDByMG9wa+BoAGSgYlBhMGCQX8BecFzwW3BZwFegVTBS4FFgUOBQ8FEQURBRUFJQU7BUgFPQUhBQYE/QUBBQYFAgT5BPAE6gTnBOoE7ATlBM0ErQSWBJMEpATCBOoFFQUwBSEE4gSJBD0EEQP3A9YDrAOQA5MDrAPDA9ED4QQABCQEMwQgA/kD1QPAA7kDtwO1A7ADqAOfA5IDdwNIAwgCxQKKAlECDwHCAXEBHwDFAGMAA/+x/2j/F/66/l7+Df25/VH8z/xC+7b7JvqH+dj5J/h/9+X3VvbQ9lP15PWE9Sz02fSN9Fb0N/Qi9AXz3fO4857zhPNh8z7zK/Mo8yPzGPMU8xjzEPL/8ybz1PT69g72evYj9Xv0//TT9M/0yvTB9LH0hfQ2893zovOR85Pzk/OM837zZfNA8xjy9PLL8pDyUfIl8hLx/PHC8WXxAfCm8E7v8O+Z71vvPe8v7yPvGu8X7xnvFe8I7vDuzu6e7mPuLO4E7e3t4e3g7fLuFO407jzuIu3v7bHtee1S7UDtO+0v7RftBe0S7T3tWe017M3sTevv68LrquuE60vrFOry6uPq2OrG6q3qi+pa6hjpzemH6UzpGOjp6MfovOi/6L/oseic6JLolOiT6IPoaOhM6C/oDefl58PnsOer56/nuefM5+Tn+egK6B/oOuhZ6HjonejO6QjpQel66bzqCOpL6nPqf+qB6orqo+rK6vvrKOs96zfrK+s361vrfuuO65PrqOvX7BLsRuxt7Ibsjex97GLsS+xC7ErsaOyh7OztNe117cLuOu7W72Xvu+/b7+zwDfA58F7wePCQ8Kzwy/Du8R3xXfGf8dPx+fIp8nDyvvL58xzzO/Nt86vz2vPn893zy/O085Tzc/Nm83zzqfPX8//0MfR49Mf1CPU39WX1o/Xu9jP2bvaq9vP3Sfej9//4YvjM+TL5j/nm+jn6ivrY+yX7ePvN/CD8b/y//RX9cv3U/jf+l/7y/0//uQA0ALQBJgGMAfYCaQLWAy4DfQPdBEoEowTTBPQFMQWKBdgGAwYsBoEHAwd7B7YHvAe7B9YIDwhTCJYI2wkmCXoJ2Ao7CpYK2gr/Cv4K2AqWCkwKEAntCdsJzwm/CagJkwmQCbYKFAqfCzwL0AxLDKsM+A0/DY8N5Q4rDj4OEQ25DWUNPg1VDZsN8A4zDlYOYQ5fDlcOTQ5ODmcOlw7TDw4PRw9/D7EP2hACEDIQaxChENIRBBEzEU0RURFYEXwRrxHREd8SABI5EkkR5REnEIkQUBAnD3IOGgzHDEkM0Q3YDrMPGw8uDxwO9g69DnYOIw3FDW8NQg1HDVINLAzXDJUMogziDPoMrQwWC4MLKgsGCvEK1Qq2CqIKlwqGCmYKPQodChEKCQnkCZAJHgi0CGwIQQgaB+oHsgd3BzsG/wbEBooGUQYfBfwF5wXRBaoFdgVJBTQFKgUUBOMEoQReBCQD9QPMA6gDjAN9A30DgwN8A18DMwMJAucCwQKQAlkCIAHlAaQBYwE0ARwBDgD6AOMA0gDFALEAjwBsAFQARQA0AB0ACP/3/+L/w/+h/4j/e/9v/13/Sv83/yX/D/76/uz+5P7c/s/+wf62/q/+qP6k/qf+qv6h/or+dP5r/m/+dP50/nP+cf5r/l3+VP5a/m3+fv6I/pL+of6y/r3+xP7U/u7/CP8Y/yL/MP9G/2D/ef+R/6b/r/+q/6P/pf+w/73/x//U/+b/9///AAQAFQA2AFEASAAd//8AMQDJAYQB8AHPAV0BIQFyAisC2QMrAyQC6gKRAi4CAwJmA2AEjQVfBZQFSQS2A+kC6AHkATMBBAE0AXABhwGFAYkBmgGkAZwBjgGGAYQBgAF7AXsBfgGAAXsBcwFuAWkBYAFVAU8BTAFHAToBKQEdARUBDAEAAPEA4gDQALoAnwCBAF8AOQAU//L/0P+o/3f/Qf8J/s/+kv5S/hT92/2m/XP9Rf0b/PH8xvyb/Hb8Vvw2/BL77vvP+7L7kftu+0r7KvsK+un6yfqp+or6avpI+if6C/nx+db5ufma+Xn5V/k2+Rb49/jY+L34pfiM+G34Rfgb9/b32Pe895n3bvc99w724/a49oz2XfYz9hD18fXP9aL1bfU49Qn03/S29Iz0YPQ19Azz5PO885HzZPM58xXy9/La8rjykfJq8kXyIPH08cXxl/Fz8VjxP/Eg8PrwzfCe8HDwSPAn8Azv8+/b78HvqO+N73LvVu857xzvAO7l7svuse6X7n7uaO5V7kXuNu4m7hTt/+3o7dPtx+3C7b7tte2p7aDtme2U7ZTtoO217cjtzu3N7dDt3u3t7fTt+O4E7hruMO5A7lHuau6E7pXun+627ujvJ+9S71vvVO9e74bvue/a7+Lv4u/58DrwpfEd8XzxqPGw8cTyBvJm8qryqfJ38krySvJz8rDy9PNB85Tz4PQf9F30qPT/9Vb1qvYI9n73Afd298L34/fr9/H4Avgc+Dj4Uvhs+Ij4pfjC+Ob5Gvlc+Z75zfns+gz6Pfpu+nX6Lvmn+Rb4tPiL+G/4LffA91f3Jvc492P3cvdK9vH2d/Xs9VX0vPQr87PzX/M18zLzTPN186Pz0PP59CT0VfSO9Mj0+fUa9S/1QPVO9Vj1XPVk9XP1gvV69VH1EPTb9NL09/Uw9V/1h/W49ff2MPZS9mL2cPZw9kD11vVp9VL1tPZY9uH3Hfce9wn27vbO9rP2svbL9t/20/an9nD2MvXe9Wv08fSc9Ib0qvTm9RD09vR5867y6/KQ8rrzHfM98snx2fDG7+jvYe8m7xjvGO8M7uTuo+5b7h7t7O2/7Y3tWO0k7PHsu+yE7FDsJOv/69zrvOuh64/rheuB64brleur68Hr0+vh6/HsBuwa7CjsMOw27DjsM+wl7BPsCewK7AzsBev06+Tr2OvN673rq+uk66/rxevb6/HsC+wv7FfseuyV7K/szuzw7Q7tKO1C7V/tfe2c7b/t6+4i7l3ule7G7vXvKe9g75fvzfAI8EzwmPDk8SnxZ/Gi8eDyIvJm8qry8/NB85Tz6fQ/9JP04vUs9Xb1x/Yk9oT24Pc495H37fhH+Jv48PlR+br6I/qB+tr7NfuP++P8Lvx3/MD8/f0o/Un9df2z/fj+M/5j/pX+zv8C/yv/TP90/6T/0f/yABEAOQBxAKsA3AEGAS8BWwGHAa8B1QH5Ah8CRAJrApUCvwLnAwwDMANVA3wDpAPQA/0EKwRXBIMErgTZBQMFLQVXBYMFswXmBh4GWAaRBsMG8AcXBzgHUAdjB3YHjgerB8oH6QgGCB4ILQg3CEEITQhWCFkIWQheCG0IgQiXCLEI0gj5CR8JQglkCYgJqgnHCeYKCwo5CmoKmArFCvYLLAtnC6YL7Qw3DH8MuQziDPoNAgz7DOAMrgxuDDoMNAxlDLcM/w0hDSINHg0oDUUNdA22DhIOgQ7uD0APaA9qD10PWQ9kD28Paw9UDzgPIQ8RDwEO7Q7SDq8OgA5GDgcNzA2aDWoNNQz3DLgMgAxUDDIMFwv/C+0L4gveC94L3gvXC8QLowt5C04LKwsRCwAK8wrkCs0KswqdCpcKoAqqCqoKowqiCuULBgsmCz8LUAtcC2QLaAtqC3ILigu/DBMMdAzFDPkNGQ0+DXcNtw3rDgoOHQ4rDjcOPA4/DkAOOw4mDgQN6g3rDgAOCQ3wDbsNgg1WDS0M/gzHDI8MUgwJC7sLeAtMCy4LDAreCq0KgApTCioKCgn4Ce8J5AnZCd0J+golClAKdAqWCrQKyQrLCrYKjApTChUJ3wm6CaQJjwltCTcI8QiiCFoIJAf9B90HtweGB1MHIgb3BtAGqAZ9Bk8GJAYBBekF2gXPBcwFzwXSBcYFoQVoBTEFEAUPBSMFOQVABTwFOgVBBUgFQQUpBQ8FAAT+BP8E/AT1BO0E5ATbBNQEzgS+BKEEfgRmBGMEdQSXBMQE9wUcBRoE6ASYBEoEEAPiA7UDigNzA3IDdgNvA2wDjwPjBEEEbQRJA+8DlwNnA2ADbwN/A4cDhgN/A3MDXAM1Av8CxQKPAlYCEAG+AWoBFAC0AEj/3v+C/zH+2/58/in97v22/WL84vxL+7H7Fvpu+bf4/fhT97r3Lfao9i/1yvV09SD0yvR69D/0HPP989Hzn/N782zzXvNC8yLzEvMR8w7zCPMO8yPzMPMz82n0HPU59jb2gvYM9Ur0u/R99GD0OvQN8+DzrfNo8yLy7fLQ8rzyrPKm8qfyoPKG8l3yKvHt8aLxW/Et8RXw8fCh8C3vue9e7xfu2e6u7qjux+7s7v3u9+7t7uzu8O7q7tHuqO547knuHO3y7c3ttO2y7crt8e4M7gjt4u2r7XPtRu0r7SPtI+0a7QHs6+zu7QjtEeze7HDr9+uq65LrjOty60DrC+rp6tjqyeq06pfqdOpH6g/p0OmS6VvpKej+6OPo3ujp6PHo5+jU6MjoyejL6L/opuiL6HPoWOg46BzoD+gO6BToH+gz6FDob+iI6Jzos+jP6PHpGulN6YPpsunV6fLqEuoy6krqWOpf6mjqeeqU6rbqyeq96pfqdepy6obqk+qH6nTqf+q+6yjroewN7FPsaOxa7EPsNuw37Efscuy67QrtRe1w7bPuLu7I70bvhu+j78nwAvAz8EzwXPB58KLwyPDq8RbxVfGV8cLx4fIO8lbyp/Lk8wnzK/Nb85PzuvPD87Xzn/OI83LzXvNc83jzrPPm9Bj0R/R/9MD0+/Uq9Vj1lPXe9ib2ZPag9uz3T/e++Cz4kvjw+Uj5oPn7+lj6r/r++0n7lvvl/DD8fPzV/T/9sf4c/nj+yP8X/3P/4gBeANYBPgGdAgoChQL5A1UDqgQTBIgE4QUMBS0FcwXTBhYGLQZWBtgHmggrCDMH0gd3B3kH1AhOCLkJDwldCbAKCApgCqsK1wraCrkKhApUCjsKPgpICjsKCgnGCZEJiQm3ChcKnAs1C8wMTgyyDPoNMg1vDb4OHw51DpwOfQ4mDcENew1qDYsNxQ4CDjYOYw6EDpQOjw6CDn8OkA6xDuEPIg9tD7AP3xADEDAQaxCpEN8REhFDEWURbhFzEY8RvhHlEfwSIxJjEoUSQBGeEQUQtxBxD6oOPQy2C98MCgznDeQOow8ODzIPIQ71Dr8Ofw4pDc0NlA2RDZoNdA0YDMUMtwzaDNsMhQv5C4YLXgtnC2cLQAr9CsAKmwqECmoKTgo7CjkKMwoJCbEJRAjuCL8IpgiFCE4ICwfGB4gHUQceBusGswZ4BkgGJgYIBd4FqQV8BWMFWAVEBRsE3wScBF4EMAQOA+4DyAOqA6UDtgO8A50DYwMxAxcC/wLSApICUwIfAegBqQFxAU8BQQE1ASUBFAECAOYAvACVAIAAewBxAFgAOQAiABD/+P/a/8D/sP+i/5L/gP9x/2L/Uv9B/zb/MP8m/xP+/v7y/u3+6P7i/t7+3f7W/sX+s/6r/q7+r/6l/pj+kv6Q/ov+gv6C/o7+nv6o/q7+uv7M/tv+4/7u/wT/IP82/0X/VP9o/4D/mf+x/8X/zf/J/8L/xf/P/9j/3f/o//4AEgAZABkAJwBLAHEAeABZADwAVgC3AS4BcQFcARcA8QEVAWgBswHhAf8CEQIAAcsBuAIkAx8EQwUOBVMFQgURBLID9QLtAfsBgAGEAbgB0AG9AaIBmQGhAacBpAGdAZYBjwGMAZEBmQGYAYoBdgFpAWcBaAFmAWIBXgFaAVIBRgE8ATYBMQEqASIBGgEQAQAA6wDQALAAiwBkAD8AGf/v/73/hf9I/wr+yv6L/k/+Ff3c/aT9cf1H/R788fzD/Jj8dfxT/DD8DPvp+8n7p/uD+2D7Pvse+vv61/q1+pX6d/pZ+jz6H/oF+er5zPms+Yr5aflI+Sb5BPjj+Mb4rfiS+HL4S/gl+AP35vfJ96X3ePdG9xb26vbA9pP2Z/Y+9hz1/vXa9az1efVI9Rz09fTP9KX0efRN9CLz+/PU86vzgPNX8zLzD/Lt8sfyn/J18kzyIfH28czxp/GH8WvxTvEs8QTw1fCj8HTwTvAz8B/wC+/y79Tvte+X73jvWu887yHvB+7t7tPuuO6e7oXucO5f7lDuQO4s7hTt++3i7c/txO2/7brtse2k7Zjtj+2J7YjtlO2q7b/tx+3F7cTtyu3T7djt3e3r7gPuHu4z7kfuXu537orum+647unvIO9G71DvTu9Z737vr+/X7+vv7+/28BrwbfDn8WTxtvHQ8dnyAfJT8qbyx/Ky8ozyfPKM8q/y3vMb82fztfP+9EX0kfTk9Tn1lPYB9oT3DveE99T3/PgL+BP4JPhD+Gr4kPis+MH41Pjs+RD5Qfl9+bf54Pn1+gf6K/ph+of6bPoE+Xv5FPjr+N34rPhA98H3a/dX92T3X/cp9sL2PPWq9Rf0jPQQ86rzY/NB80DzVvN8863z4/Qa9E/0hfS89Oz1DfUb9SH1J/Uw9Tj1PfVC9Un1SPUy9Qn04PTW9P71T/Wh9c/12PXb9fX2H/ZC9lb2ZvZz9ln2APWI9Uj1gPYW9rL3C/cf9xL2/Pbg9sb2v/bP9uH22faz9n32PvXr9X71DPS99Kv0zvUI9S/1G/S49BzziPNA80vzavNL8szyEPFN8J7wBO+C7yzvCu8F7vXuxe6F7k3uH+3u7a/tau0t7PjsweyI7FTsLewO6+7ryuuq65brjOuG64brj+ug67Trw+vP697r8+wI7BbsHuwk7CjsJewV7ADr8evv6/Hr6+va68frvOu266/ro+ub66Hrs+vJ6+Dr+uwc7ELsY+x87JXstuzb7PztFO0t7UrtbO2M7a3t1u4M7kbueu6j7szu/e8373TvsO/t8DHwevDE8QjxSPGH8cfyB/JH8ony1PMk83bzxfQS9F/0q/T19T/1jvXn9kP2nvb291T3tfgS+Gf4v/kn+Z76Efpv+rv7BvtW+6X77vw0/H38wfz4/SP9UP2J/cT99f4d/kn+f/60/t7/Af8q/1z/jP+v/83/9AAnAF4AjwC7AOcBEwE8AWEBhQGsAdUB/AIkAk0CegKlAs4C9QMcA0MDbgOdA88EAAQuBFgEggStBNkFBAUvBV0FjgXFBgAGOwZxBqAGygbvBw0HJAc2B0kHYQd8B5cHswfPB+kH+wgHCBIIHQgnCC4INAhACFIIaAiBCKAIxAjqCQwJLAlQCXUJlQmuCccJ6goVCkIKbwqdCs4LAQs1C20Lrwv5DD8MeAygDLoMyQzKDLcMkQxiDEUMVAyTDOYNJQ05DS0NIQ0xDWENrQ4KDnIO2Q8uD2APbA9eD08PTw9bD2IPWA8/DyAPAg7nDs0Otg6eDnwOSw4QDdcNpw1+DVUNJgzwDLMMdwxGDCYMEAv3C9wLxgu9C7wLtgujC4ULYwtBCyALAArjCssKuQqqCpsKjwqMCpYKqgq7CsEKwwrNCxgLPQtgC3sLkguoC7gLwQvEC8kL3AwJDE4MnAzbDQENHA1HDYwN2w4YDjYOPw5GDlEOXA5iDmEOVw4+DhUN7Q3aDd4N5g3dDb8NmQ14DVUNJwzvDK4MZQwTC8ELfgtRCy0LAwrTCqQKegpSCikKCQn4CfAJ5wngCecKAgomCkgKZgqFCqIKsQqqCo0KYQorCfUJywmzCagJmQl2CT4I9ginCFsIHAfwB80Hpgd0BzkG/QbHBpgGbgZGBh8F/QXiBcwFugWxBbkF0AXlBeAFtwV2BTkFFwUZBTQFUAVaBU4FPAUzBTQFMwUnBRYFCAUABPoE8QToBOAE1wTMBMIEtgSjBIQEXwRCBDgERgRoBJkEzgT1BPoE2gSgBF0EGwPZA5oDawNXA1EDQAMfAw4DOgOqBCkEaARAA9IDZAMnAyIDOgNUA2EDYANZA1EDQQMeAuoCsgJ9AkQB/gGrAVkBCACsADz/yP9n/xX+wf5k/hX94P2y/WD82fwz+4367/pH+Y74z/gg94j2/vZ/9gv1qvVV9QL0rPRe9Cf0AvPc86fzbvNL80HzPfMr8xLzBPL/8vTy6fLy8xTzM/NF83/0J/Ut9hb2XfX09UL0uPRs9C7z2/N58x7y0fKP8lzyPfIp8hTx//Hx8erx2fG18YLxSfEH8LvwcPA18Abvx+9l7u/uiO5B7hDt7u3p7hXuae687uLu2O697rHut+647qLuee5L7iLt/O3R7aXtiO2H7aHtxe3Y7crtne1j7S7tCez07O3s6uze7MPsp+yd7KPsnuxs7A7rqutp61LrSus26xPq8OrZ6szqvuqp6o3qa+pD6hXp4emr6XjpTOkn6Q7pA+kF6Qbo/ejr6ODo4ujq6OXo0ei06JnogOhq6FzoXehq6Hjoh+ic6MDo7ekU6S/pP+lN6WHpgemx6enqF+os6inqHeoW6h/qMOpC6k7qWOpr6oPqkeqD6l7qPOov6i7qIOoA6eXp8uo56rfrUuvi7D3sVOw/7CnsJ+w37FbsjOzZ7SLtSu1k7aPuIe627yPvWO9+77zwBPAv8DjwRfBu8Kbwz/Ds8RPxUPGK8a3xwvHq8jPyh/LK8vbzG/NH83fzmfOl853zjPN682nzXPNd83jzr/Px9Cv0WPSE9L30+vUy9WP1nPXj9i/2cfau9vv3Zvfi+Fn4uvkL+Vn5sPoQ+nD6x/sT+137qfv2/ED8jvzu/WT94v5R/qb+7v87/5sADgCHAPcBWgG8AjACrQMcA3QDzQRCBMAFFQU3BVsFsAYcBlkGZgahB10IXQjxCKQHvQb3BtcHVAgKCKkJIgmBCc4KDAo4ClQKXgpVCkYKQgpVCnoKmwqZCmIKAwmsCY0JvQopCrALOAu6DDMMngz1DTYNZw2UDdAOIw5+DsEOyg6YDkgOAA3ZDdQN4w39DiEOTg58DpsOow6dDpcOmw6rDs4PDg9iD7AP5hALEDYQchCxEOcRFxFJEXMRiRGTEaoR0hH3EhESNxJ0EqESexH7EWwRDBC1D/IOkAzsC7gLbQv9DP0N+g6rDvkO/Q7mDtQOuw5/DiYN3Q3GDckNrA1eDQsM5gzlDMgMawvwC6QLsAvwDBkL+gubCykKzgqWCnkKaApeClQKOQoBCbAJZQk8CTUJMQkOCMUIaQgUB9EHnwdzB0EHCAbPBp8GeAZMBhUF2AWnBYkFeQVuBVoFMATrBJoEYARKBEIEKAP7A90D4QPpA80DjwNYA0IDNQMKAsICfwJUAi4B+AG6AY4BfAFyAWEBSAEtAQwA5QDBALEAsACpAI0AaQBOAD4AKgAP//X/5P/Y/8r/uP+n/5j/iv9+/3f/c/9m/0//Of8w/zH/Lf8d/w3/B/8I/wT++P7w/u/+7P7f/sz+w/7E/sL+tv6q/qv+uP7D/sn+0v7h/vD++v8E/xf/M/9N/2D/cf+F/5r/rv/A/87/1f/S/87/1P/g/+r/8QAAABsANQA9ADcAPQBeAIkAoQCcAI8AmgDHAP8BJAEqASABHgEpATQBNAE4AVUBgwGhAaIBtQIgAusDzQRqBLME4gUiBUkFBwRGA1wCuAKBAoICbgIxAfEB0QHPAc8BwwGyAacBpAGlAacBqgGnAZoBiQF/AYABhAGAAXMBZgFeAVkBVQFSAVEBUQFSAVEBTwFHATYBHgEEAOoAzwCvAIoAYAA0AAL/yv+M/0r/B/7G/ov+Uv4X/dv9ov1w/UL9E/zi/LT8jvxs/Er8J/wD++H7v/uc+3r7V/s0+w/66PrD+qL6hfpq+k/6NPoY+fv53fm8+Zr5evla+Tj5E/ju+M34sfiU+HT4T/gq+An36/fN96n3fvdP9yH29/bP9qT2ePZP9ir2B/Xg9bT1hfVZ9TH1C/Tm9L70kvRj9Db0DvPn88DzmPNw80jzIPL38szyofJ18kjyG/Hy8dDxtfGa8XzxWfEx8Qbw1/Co8H3wW/BF8DTwH/AB793vue+Z73nvW+8/7ybvD+727tvuv+6l7ozueO5n7ljuRu4v7hXt+e3h7c3twO267bXtru2i7ZXtie2B7YDtiu2d7bDtue247bTtte267b7txe3U7ezuCe4j7jzuVO5q7nvuje6q7tTvAO8f7y/vPO9T73nvou/G79/v7+/58A7wRfCr8TDxovHg8fDyAvI38oTyw/LZ8s/yvvK48r/y2PMG80nzlvPk9DH0f/TO9SH1hfYD9pb3Jfea9+n4Fvgs+Df4Rvhm+Jf4yvju+P/5Cvkb+Tn5YfmP+cD56/oG+hX6KvpU+oL6iPpE+cj5T/kN+Pf41/iF+BH3qvdx91v3QPcA9pP2B/Vy9Ob0a/QD86/zc/NX81fzbvOU88j0BvRI9IX0uvTn9QX1EPUJ9P/0/fUD9Q31F/Ud9Rv1C/Ty9OL08PUp9Yv1/fZZ9nv2Y/Y59iv2QfZd9mT2X/Zc9kz2D/Wp9Vr1Z/XW9mf2zfbz9vH24/bP9rr2rfaw9rf2rPaJ9lj2IvXg9Yz1M/T19Ob1B/U99Wf1YvUe9Kn0LfPU86XzfvM28sfyS/HT8VHwtfAP74vvRu8x7x3u8e617oDuUu4c7dXtie1I7RPs3Oyg7GnsP+we6/3r2uu866rrnuuS64frhOuP66Drseu/683r3evs6/fsAewM7BbsF+wJ6/Hr3evU69Przeu966nrm+uZ65rrmeuX65nrpOu3687r6ewK7C3sSuxi7HvsnuzH7OztCO0i7UHtZO2G7aXtyu377jLuY+6L7rTu5+8k72Pvoe/g8CTwa/Cx8PPxNPF28bjx9vIy8nHyufMI81jzo/Pr9DT0gPTM9Rb1YfWy9gf2Xva29xX3evfc+DX4j/j6+Xb57vpO+pr64/s0+4L7xPv+/D38gvzD/Pj9Jf1V/Yf9tP3a/gP+Nv5q/pb+uv7i/xH/Qf9q/47/t//mABYARAByAKIAzgDzARIBNQFfAY0BuQHiAgsCOAJlAo8CuALgAwoDOANrA6AD1AQEBC8EWwSJBLgE5gUSBUAFdAWuBeoGIwZUBn4GpQbIBucG/gcRBycHQQdbB3IHiAefB7cHywfaB+cH9QgDCBAIHQgvCEYIXgh5CJoIvwjiCQEJHglBCWQJggmaCbMJ0wn3ChwKQwpwCqUK2QsGCzQLbAuwC/cMMwxiDIUMmwyhDJMMdQxZDFUMewzEDRQNSQ1TDUMNPA1ZDaIOCg56Dt0PKA9XD2kPYw9RD0IPQQ9ID0kPPA8nDxAO+A7ZDrUOlA50Dk4OGg3hDasNfQ1UDS4NCAzcDKIMYQwtDBIMCAv2C9ULtQukC58Lkgt0C00LKQsMCvEK0gqzCpoKiAp8CnYKdwqCCpkKtgrOCt0K5wr5C0MLaguNC6oLxQvhC/sMDAwVDBwMLAxQDIUMvwzsDQcNHw1LDZEN4A4dDjkOQA5IDlwOdA6ADncOWw4wDf8N0w26DbkNwQ2/DagNhQ1hDT0NFAzhDKAMUwwAC7MLdwtKCx8K7Qq6Co8KbQpMCikKDwoDCf0J9wnzCf4KGAo2ClEKawqJCqIKqwqfCoQKYAo0CgcJ5QnUCcoJtQmJCUsJAAiwCF8IFwfgB7gHkQdgByMG5QasBnoGSwYdBfQF2AXHBbgFqAWgBa0FzgXpBeYFvwWHBVYFPAU4BUQFUwVYBU0FOQUqBSUFJQUhBRUFBwT4BOkE2QTMBMIEuQSwBKgEnwSRBHgEVQQxBBwEHQQ6BGoEnQTABMgEuASWBGYEJAPUA4YDUQM7Ay8DFALoAtAC9ANaA84ECwPxA5gDPAMKAwgDIgM5Az8DNwMuAyoDHQL3ArkCeAJDAhABzgGAATYA9ACnAEL/0v9y/yT+0/52/iH95P2q/Un8svv/+1X6uvoY+V74m/fn9072yvZT9eT1gvUq9Nf0h/RB9A7z6PO/84nzUvMw8yfzJfMa8wvzA/L98u/y3/Ln8wrzLPM/823z9vTY9bD2EPXg9Wj09/Si9Erz3fNg8uHyafID8b/xpPGh8Z/xkPF38VfxLfD48L/whfBD7/bvpO9a7xTux+5w7h3t3e2y7Y7tce1w7aXuC+507q7urO6M7nTucO5w7l/uPO4U7e7tx+2c7XXtYO1g7XDtgu2H7XXtSu0S7N3suOyi7Jbsi+x57GDsQ+wv7CXsFuvw66/raOsy6xLq/urs6tzq0urM6sXquOqj6obqY+o96hfp8OnG6Z3pd+lX6TzpKekf6RnpDuj86O3o7ej86Qfo/+jn6Mjor+if6J7orujK6OTo+ekS6TjpaemW6bLpu+m66bzpz+n46i7qV+pf6kPqG+oE6grqJeo+6kfqSOpS6mfqfOp/6nLqZepf6lXqPeoh6hnqOOqG6v7rjuwN7FDsSuwh7AfsEuw17GLsnezm7SHtO+1N7ZDuEe6g7v/vLu9h77LwAfAl8CfwOPBt8Kvw0/Dr8RPxUPGH8aLxsvHY8h/ycfK08ubzEfM982jziPOZ85vzk/OI83zzcfNv84Lzs/P09DD0XPSH9MH1B/VI9X31tPX79kz2lPbT9x73h/gE+Hf40vkd+Wz5xvon+oH60fsb+2b7tvwE/FH8o/0I/YL+AP5u/sX/Ev9p/9AAQACtAREBcwHdAlECwQMaA2gDzwRfBO0FQQVcBYIF5gZdBpkGpQb5B+UJBQl+CNcHfQZhBh8GmwdaCAUIjQj8CU4JewmKCY4JmAmyCeQKLgqACroKwQqOCjIJ1QmpCc0KOArDC0YLtAwWDHYM1A0pDWwNmQ22DdYOCw5ZDqUOyg69DpEOZw5ODkAOMw4oDikOPg5hDoIOmQ6nDrEOvA7JDuYPIA9yD8UP/xAlEE4QhxDEEPkRJxFYEYYRpRG2EcsR6xIJEh8SPRJyEqYSmxI7EbARNxDKEBkO4Q1IC9YLFws+DBUNKQ4LDoUOpg6mDqoOrA6LDkMN+g3UDcwNtw19DTgNDgz9DNkMhAwaC94L+gxWDKYMqQxQC8ELNArWCq0KpgqeCn0KPAnoCZoJagllCXoJhglmCRMIqAhKCA0H5we/B4YHSQcdBwYG7wa/BnMGIwXjBbsFqgWwBb8FswVqBPcEnQSJBKIEoARmBCAEAwQGA/gDxQOLA20DWgMuAuYCpAJ+AmECLwHvAb8BrAGiAYsBZgFBASEBBADsAOIA4gDaAMEAngB/AGgAUAAzABsAEAAMAAH/7f/V/8P/t/+v/6r/ov+R/3n/Zv9k/2z/av9X/0D/Ov9C/0b/O/8r/yP/If8a/w7/B/8H/wP+8P7X/sr+0P7b/uP+6P7x/v3/B/8R/yP/O/9R/2P/df+L/6T/uf/J/9f/3v/c/9n/3//t//sABgAZADkAWgBoAGQAYgB1AJUArwC+AMoA3ADyAQYBGQEuAUUBWQFiAV0BUQFMAVkBeAGWAa4B1gIsArEDOgOXA88EFgSSBR8FbQVMBN0EawQZA9EDcQMDArECjgJ+AlYCDwHMAa0BqwGrAaEBmAGcAagBswG2AbQBrAGbAYIBawFgAV8BYgFlAWgBawFwAXMBcwFqAVUBOQEfAQwA/ADnAMgAoAB1AEcAFf/b/5r/U/8N/sz+j/5R/hD90P2T/Vz9KPz2/Mn8ovyA/GD8P/wd+/r72fu4+5b7c/tN+yb6//rZ+rf6mfp++mT6R/on+gf55fnD+aH5gvlk+UH5Gfjv+Mn4qviM+Gv4SPgl+Ab36PfL96n3gfdX9y33B/bi9rn2jfZi9jn2EPXm9br1j/Vk9Tv1E/Tt9MX0mfRp9Dv0E/Pu88nzofN4807zIfLy8sPyl/Js8kHyFvHy8dfxwvGr8YzxZfE58Qvw3vCz8I3wb/BX8EHwJvAD79zvuO+Z73zvX+9F7y7vGO7+7uLuxu6t7pbugO5s7lnuRO4r7hDt9+3g7c3tvu207a/tqu2h7ZXti+2F7YXti+2X7aPtqO2o7aXtpe2p7a/tuO3I7d7t+e4W7jPuTu5i7m/ue+6Q7q/u0e7w7wzvK+9S73zvnu+4787v5e/78A/wMPB38OvxbvHO8ffyAfIZ8lXypPLk8wLzAfLt8tvy3/MC80HzjvPd9Cr0dPS99Qv1bvXv9ob3F/eN9+T4IvhJ+Fn4Yfh2+KX44fkS+S35PPlN+Wj5iPmr+db6B/ox+kb6Tvpi+or6qPqK+iD5kfkf+Ob4yfiX+D/32feH91P3Jvbj9nv19PVk9OL0dPQZ88zzlPN583zzmPPF9AD0RPSI9MH06/UG9Q71BfTy9OP03/Tk9O30+PUB9QD0+PT69SH1d/Xw9nH24Pck9y32/va/9pz2oPap9pP2YvY49h31+fW39XT1bPW39i72jva39rf2qfaY9oT2cfZl9lr2R/Yn9gL14fXD9Zz1a/VA9S/1QPVq9ZP1n/V39Rn0nfQl88fzgvNB8vTymfIx8bbxJfCP8BLvvu+J71bvF+7W7qDudO5A7f7tuO167UTtDezR7JjsaOw/7Brr+Ovf687rv+up65PrhOuD643rneus67vrx+vR69zr5+v06/3r/evx697ry+u/67rrteup65brhet+64LriuuO65HrmOum67zr1+v37BjsN+xR7Gvsjey17Nzs/e0a7TvtYO2B7Z/twe3u7iLuU+5+7qru4O8c71rvl+/X8B3wZPCp8OrxKvFr8anx4/Ib8lfynPLr8zvzhvPN9Bb0ZPSy9P31RPWN9d32MfaI9uT3R/eq+AX4XfjA+TP5pvoI+lv6rvsI+1v7lvu/++38Lvx4/Lj86f0V/UP9c/2f/cr9+P4o/lT+ef6e/sf+9P8h/03/e/+o/9L//AApAFoAhwCqAMgA6gEVAUQBcQGbAccB9wIlAlACeAKiAtEDBQM8A3QDqAPYBAYENARmBJkEywT6BSoFXwWbBdkGEAY9BmIGhgapBsgG4Ab1BwsHJgc/B1IHYwd1B4oHngewB8AH0gfkB/cIDAgmCEIIXgh8CJ0IwAjhCP0JGAk2CVQJbwmHCaMJxAniCfsKGApGCn8KtgrgCwMLLgtoC6gL5AwXDEIMYgxvDGoMXQxcDHoMuw0NDVINdQ12DW0NeA2vDhEOig75D0QPag91D3EPYg9MDzgPLw8tDyUPEw8BDvcO7Q7WDq4OgQ5VDiYN7w20DXsNSQ0dDPsM4gzCDIwMRQwNC/oL/gv3C9ULqwuOC30LZQs+CxIK8ArZCsEKpAqGCm0KXQpVClUKYAp2CpYKuwrcCvYLCgsiC2QLiguuC88L8AwTDDIMSgxYDGUMeAyWDL4M5Q0BDRMNJg1JDYENwg37DiEOOA5QDnEOkA6aDoEOSg4IDc0NpQ2TDZMNlw2QDXQNRg0UDOgMwgyYDGQMIgvcC5wLaAs4CwIKxwqTCm4KUwo5CiEKEgoRChQKEgoTCiAKOApQCmUKfQqZCq8KtAqoCpQKegpXCjAKDwn9CewJzAmYCVcJDwjBCGwIGgfWB6MHdQdBBwQGxgaOBl0GLQX9BdQFuwWwBakFnQWWBaMFxAXhBeIFxQWhBYcFdwVoBVkFTgVJBUMFOgUwBSoFJQUcBQ4E+gTiBMoEswSkBJkEkASJBIUEgwR+BG0ETgQqBAsEAQQSBDsEaQSIBI8EiAR2BFMEFgPCA28DNgMcAwsC7gLHAq8CwQL+A0YDcwNwA0cDFwL8AwADGAMqAykDGAMKAwUC9AK/Am4CHgHnAb0BhwFDAQUA1QCfAE//7/+W/0n+9P6O/iz94P2X/Sb8gvvK+yL6i/no+Sr4YPeo9w/2kfYg9bX1U/T69Kr0Y/Qn8/jzz/Ol83XzR/Mq8x3zF/MP8wnzDPMQ8wvzA/MM8yfzPPNA81bzsvRe9Rz1nPW+9Zv1V/UF9Kz0UPPr82ryw/IU8Y7xUfFP8VvxU/Ev8Pfwt/B38Djv9e+n71Du++6w7nHuO+4O7ertyu2k7XPtRe037V3ts+4Z7mPuee5n7kjuMO4g7g7t9u3Z7bXtiu1f7UPtOe027TDtJu0b7Qvs6uy37IHsVew57CXsEev86+Try+u166LrkOt361LrKOsA6t3qwOqt6qrqs+q86r3qsuqb6nfqS+og6f/p5OnI6aXpf+lc6UDpL+kr6S3pJ+kO6PDo4ejt6QbpE+kJ6PPo3+ja6OXpAuko6UzpaemE6aTpyenr6f3p/+n46fXqBOoo6lPqbOpg6jPqBOnz6gnqMOpK6kzqQ+pG6lrqc+qF6pDqnOqo6qjqmeqQ6qTq2+sv65Tr/+xS7GrsQ+wI6/DsB+w27GfsnezZ7QntH+087Y3uFe6a7ujvD+9G76Hv9fAc8CPwO/B18LHw0/Dq8RXxVPGI8aHxtPHd8h/yZ/Kj8tfzC/M/82vzi/Of86jzqPOj853zl/OV86LzyPQB9Dj0ZPSR9M71GPVb9ZH1yfYV9mz2uvb790X3qvge+In43vkr+X/53fo3+oj60vsf+3L7x/wa/Gv8xP0s/aH+F/6C/uH/Qf+pABYAfADWAS0BjAH4AmMCuAL3A0YDywSBBSUFdgWHBa0GGAaTBtAG6AdZCF8JegnECNkHRgYFBaMF7gZuBuIHUQfECCUIXwh8CJkIzQkgCZMKFAp7CqIKfwowCeYJygnvClEK0gtNC68L/wxQDKkNBA1UDZINug3NDdkN9A4qDmgOjw6UDogOhg6SDpkOjA5xDlkOVA5iDnwOmg62Ds8O4w71DxMPSg+YD+gQJRBMEHAQoRDbERQRRRF1EaERwRHWEeoSBBIcEioSPRJpEqESrxJqEd4RRBC2EA8PCg2dDBkLAwq5CzoMLQ0fDcgOHQ5ADlUOYg5ZDjQOBg3mDdgNxA2aDWQNPw0wDRgM2Ax1DCcMIQxmDMIM6wy4DDULmgsoCvoK+QruCrYKWwn9CbgJkQmBCYEJfwliCRsIuAhjCDkIKQgIB8UHfgdhB3EHgAdcBwUGoAZNBhYF/AYMBjkGTAYHBXQE8QTQBPoFDATJBF4EHwQjBDEEFgPZA6EDeANJAw0C1wKyAo8CWQIYAekB1wHNAbABgwFXAToBKAEbARUBEwENAPkA2gC4AJcAdQBWAEIAPQA9ADQAHAAB/+3/5P/e/9X/xv+z/5//lP+X/6L/ov+S/3//fP+G/4n/df9X/0X/Rf9J/0f/RP9G/0P/MP8R/vr+9v79/wP/BP8H/w3/FP8d/yv/PP9K/1X/Zf9//57/uP/N/+H/7//1//X/+wAMAB4ALAA+AFwAgACWAJsAmwCiALIAxADaAPoBHgE2AUIBTAFgAXkBigGTAZsBqQG2AbwBvQHFAdgB+wIsAmgCoALDAtkDBgNvBBMEyQVaBaoFtQV+BQcEbgPwA70DxAO2A1UCtQImAeQB3QHYAb8BqgG7AeYCBgIDAeQBvgGeAYUBdAFsAW0BcAFxAXEBcgF0AXYBeAF1AWgBUgE8ASsBHgELAPAAzQCpAIMAWAAk/+f/ov9Z/w7+x/6C/j399/2z/XP9O/0J/N78t/yU/HT8VPwy/BD77/vR+7D7jPtl+z77Gfr1+tH6sPqT+nX6VPow+gv55/nD+aH5gflh+T35E/jm+L34m/h7+Fv4OfgY9/r33/fF96f3g/dc9zb3FPby9sv2n/Zy9kX2GfXs9b/1lPVo9Tv1D/Tm9L/0lPRl9Dn0FPPy88zzovN080fzGPLm8rbyivJi8jvyGPH78eTx0PG58ZvxdfFJ8Rvw7vDF8KDwf/Bh8EPwIu/+79rvuu+e74PvaO9P7zjvIO8E7ufuzO637qLui+5y7lnuPu4i7gjt8u3h7dDtv+2x7antpO2d7ZXtj+2O7ZHtlO2W7Zftlu2W7ZjtnO2h7anttO3F7drt8u4M7inuRe5a7mbubu567pHuru7Q7vbvIO9P73vvm++v77/v2O/58BXwLfBX8KzxJfGa8eDx+PIF8jHyg/Lj8yvzQ/Mt8wTy7vME80DzjfPZ9CH0aPSt9PX1TfXB9kn2z/dE96v4CPhQ+HX4fPiB+KH42/kX+UD5Wvlz+ZL5s/nT+fn6K/pb+nT6c/p1+pb6zPrc+pb6A/lo+QH40/iw+G74C/em91j3Hfbc9n72A/V+9QX0n/RI8/zzwvOo86/z1PQL9E70k/TP9Pv1FPUb9RP0//Tq9N302fTa9OD07vUF9R/1P/V59eT2d/cP94T3xvfY98D3ifdL9yT3F/cG9tH2f/Y29gz18fXK9Zz1kPXB9hj2YfZ89nD2WPZD9i/2FvX89eT1zvW49ar1qvW29b/1s/WU9XT1afV89aL1v/W19W/08fRd8+DzmPN481LzAvKJ8gHxhPEZ8LbwUu/t74rvMu7q7rXuiu5f7int6+2r7WztMez57MXsk+xk7DnsF+wA6+/r3OvE663rmuuO64rrjuua66nrt+vD68/r2+vj6+Lr2uvP68Prueuw66rrpeud64/rfetw62/rd+uB64jrkOud67DryOvk7AXsKexK7Gjsheyn7Mrs7e0P7TPtWu197Z3twO3r7hzuTO547qfu3e8Y71Pvju/O8BbwYPCn8OnxJ/Fi8Zrxz/IG8kPyh/LU8yTzcPO59AL0T/Sd9Of1LvV29cX2GPZt9sT3IveC99v4LviD+OP5SPmn+f76Wfq7+xP7Tfts+477y/we/Gz8p/zU/QH9M/1l/ZP9vv3o/hP+Ov5g/of+sP7c/wz/PP9p/5H/t//gAA8APABiAIMApwDQAPsBJAFOAX8BtAHnAhQCPQJpAp4C2QMVA04DgQOwA94EDgRDBHsEsgTnBRoFUQWMBcgF/gYpBk4GcQaTBrIGyAbbBu8HBwceBy8HPgdOB2IHdweKB54HtAfLB+QH/wgeCD8IXgh9CJ0IvwjfCPoJEwksCUQJWwl0CZIJswnNCeAJ+AoiClwKlAq7CtgK+wsqC2ALkgvAC+kMDAwiDC0MOwxiDKsNCQ1gDZQNng2TDZQNvg4WDowPBA9dD4cPjQ+GD30PbA9PDzAPGw8QDwEO6Q7WDtQO2Q7MDqQObA41DgANxg2GDUYNDAzhDMgMvAymDHIMKQvvC+IL8AvvC8sLlwtrC0oLJQr5CtEKtgqlCpEKdwpcCkYKNQouCjQKRwplCokKsgrcCwILIwtCC3wLoAvGC+8MFww+DF0McgyDDJcMswzTDPINCA0VDR4NLA1FDWsNnQ3XDhQOTA56Dp4Osg6qDnsOLQ3bDZ0NfQ1zDXANaA1SDSkM7QytDHcMUQw1DBUL6gu3C4ULVQsdCtoKlgpiCkMKLgoZCgsKDQocCiwKMgo3CkQKVgplCnIKhwqjCrkKvAqxCqIKkApzCk0KKwoTCfoJ0wmcCV4JHAjQCHgIHgfPB5AHWAceBuAGoAZlBjIGBwXeBbsFpQWcBZgFkAWLBZgFtwXWBd0FzgW9BbUFrQWVBW8FSwU4BTYFOgU7BTYFKwUaBQQE6QTJBKcEjAR6BG8EZgReBFwEXwRcBE4ENQQWA/oD7AP0BBQEPQRZBGAEVwRHBCgD7wOfA1ADGQL8AugCzgKwApwCmgKoAsEC2gLtAvMC7ALmAvEDCgMeAxwDCAL2AuoCzgKIAiEBwgGHAWQBOgEDANMAsQCLAEv/+f+q/1r+9v5+/g79uv1u/Pz8Wfum+wL6avm/+Pb4J/du9tb2VvXm9X31HvTH9H30P/QN8+LzuPOP82bzQ/Mr8x3zFPMN8w3zF/Mk8y3zNPNC81XzW/NS81HzgPPq9Hj1BPVw9ab1nPVi9SD09vTN9GfzoPKj8crxVPE48T7xNPEJ8MjwhPBA7/Xvm+8z7s/ugO5L7i3uIu4i7hnt8e2m7VPtHO0V7Tztg+3X7iTuU+5W7jTuA+3Y7bztrO2a7XrtTu0l7RDtC+0A7OTswuyt7KHsiexY7Bzr6evH663rk+t461/rR+sx6x/rEesE6vPq3urG6qrqjOp46nXqg+qV6p7qmuqE6lvqI+nt6cnptumh6XvpS+kh6QzpDukk6TzpP+kf6Onowei86NXo7ej06O/o7uj76RnpRel36aTpx+nh6fjqC+oW6hbqEOoK6g3qH+o+6lzqYupD6gzp4ene6gPqM+pM6knqO+o86k/qaOp96pPqserP6t3q2urg6wfrT+ul6/vsRux07G/sOuv/6+7sDew/7GvsluzF7O/tEO1E7azuPO627vPvC+8775Pv6vAY8CvwTPCF8Lrw1/Dv8RrxVPGG8aPxv/Ht8inyYvKS8sXzAvNB83TzmPOu87zzw/PG88fzyfPL89nz+fQo9Ff0gPSr9OT1J/Vl9Zz12/Yu9or22vcd92n3y/g3+Jj46fk5+ZP58PpD+o362fsv+4z76PxA/Jn8+f1g/cz+Nv6d/wb/eP/wAGEAvgEKAVYBsgIZAnQCsgLoA0kD9gTJBW8FswW6BeEGTAbBBwIHNgfNCOIJ4An1COYHUwYcBaMFpAW+BdsGGQZ/BusHPQd9B8MIIQiZCSUJsQoUCi4KCwneCdoKEgp2CusLVwutC/EMMwyDDNwNLg1wDaENww3VDdwN6Q4KDjYOVA5cDmIOeg6iDsEOxA6xDpoOjA6NDp4Otw7SDuUO9A8HDysPZg+yEAAQPhBqEI0QtxDtESkRYRGREbkR1hHtEgISGBIpEjMSQBJmEqESxhKgEh8RbBC6EAkPJw3sDHwLQAqcCqwLPwwFDL0NSA2jDdYN9Q4IDhAODA4CDfgN6g3NDaQNgw14DW8NQgzkDHgMOwxKDI0MxQy2DFULzQtjCzsLOwsqCusKnQpqClQKMwntCZgJWQkwCP0ItQh2CGMIawhXCA0HugefB8gH9gfnB5UHKwbQBogGVgZSBn4GoAZrBdcFQgUMBTAFRgUBBIgEPARIBHYEdgQ3A+EDmgNqA0IDHgL5AssCjgJPAiQCEAIBAeEBsgGGAWkBWgFSAUwBRgE+AS4BFADyAM0AqACLAHoAcgBtAF4ARgAtABwAFgAPAAD/7P/a/9H/0f/X/9v/2P/M/8H/wP/E/7z/n/95/2T/Zf9u/3D/b/9y/3f/b/9Y/z7/MP8t/yv/KP8m/yf/Kf8s/zX/QP9H/0z/Wv90/5P/rv/F/9//+wAOABgAJAA6AFMAZQByAIcAowC8AMkA0ADYAOMA8AEJATEBXQF8AYkBkwGmAboBwgHFAdUB9gIUAhsCEAIKAhQCJgIxAjICMgIxAi4CMAJXAsUDgwRvBUUFwwXABU0EtwRlBIUE3QT0BHoDnwLgAo0CiwKKAmoCUwJsApsCpAJpAgoBugGRAYQBgAF9AXkBdAFvAWkBZQFhAWABZAFrAW4BaAFbAUoBOAEiAQcA6gDNAK0AhQBUABv/3P+V/0f+9/6p/mD+Gf3T/ZD9Vf0j/Pb8zfyo/Ib8ZfxD/CD8APvk+8b7o/t7+1T7MPsN+uj6w/qg+n76WPov+gj55PnC+aD5fvla+TP5B/jb+LP4kPhw+E74LPgL9+/31ve+96P3gvdd9zr3Gfb49tL2p/Z69k32HvXw9cL1l/Vq9Tr1C/Ti9Lz0k/Rm9D30G/P789Pzo/Nw8z/zEPLg8rLyh/Jg8j7yIvIM8fjx4vHH8anxhvFd8S/xAPDV8K3wh/Bh8D3wHO/9797vwu+o74/vdO9a70HvJu8I7uru0e697qruku537lruPO4f7gXt8+3m7dntx+217ajtn+2Y7ZLtj+2R7ZXtlu2T7Yzthu2G7Y3tl+2f7ajts+3E7dnt7+4F7h3uN+5M7lvuZe5w7oPuoO7F7u3vF+9C72zvju+k77Xvzu/08BrwNfBO8ILw3/FQ8azx3fH08hryavLa80bzf/Ny8zjzCPMK8z7zh/PL9Av0UPSY9OH1MfWR9f/2bfbW90T3v/gx+Hv4k/iU+Kj42/kZ+Ur5a/mK+a/51fn2+hj6RPpx+ov6h/p/+pv64fsb+wT6i/nm+WL5H/j4+Lr4Uffa93j3Mfbw9pr2KvWu9Tr01fR99DLz+/Pj8+/0GvRa9KL04/UR9Sv1M/Uu9R/1CfT09Ob03/Te9Or1DvVL9Zn19fZr9wT3rPg2+H74hfhj+DL3/vfM96L3f/dV9xf2zfaO9mX2RPYa9ev10/Xo9hn2QfZG9iz2C/Xz9eD1x/Wp9ZD1hPWG9ZX1svXb9f72A/Xi9a71ifWJ9az12/Xz9dH1Y/TB9Crz2fPQ887zlvMh8p7yNfHe8XLw4PA+77HvSu8D7s7uoe557k3uE+3L7YDtPu0K7N3srex67EvsKOwQ6/zr6OvY68vrv+uv65zrkeuT66Drruu668br0uvX69Hrw+u266/rq+ul65zrlOuO64breOtq62Traet164Lrj+uf67Hrxevc6/nsHuxE7GXsguyf7L7s4e0F7SvtU+167aDtx+3y7h7uSe5y7qHu2e8V71Dvi+/K8BDwWvCi8ObxJfFc8Y/xwvH88jzygvLK8xbzYvOs8/P0OvSD9Mz1FfVg9bH2BfZZ9qz3Bfdi97r4CPhS+KL4+/lU+af6APph+r77Afsm+0b7gPvU/Cv8bfyb/MT88v0l/VP9e/2h/cv99/4j/k7+d/6i/s/+/v8r/1T/ef+g/8n/9AAdAEQAbACUALoA3wEIATsBdQGuAd4CCgI7AnUCtwL3AzADYQOPA74D8QQpBGQEoQTcBRQFSwWBBbgF6gYWBjwGXwaABpwGsAbBBtMG5wb6BwsHGQcqBz8HVAdrB4MHnQe4B9UH9QgXCDgIVgh0CJMItAjUCO8JCAkgCTYJSQlgCXwJnAm1CcgJ3woFCjcKZQqICqQKxwrzCyALSAtrC40LrQvJC+QMEQxeDMsNQA2ZDbwNsQ2fDbAN+A5pDuQPRg97D4UPew94D3sPdA9XDy4PEA8ADuwOzw62DrMOug6tDoEORA4MDdkNoA1cDRUM2AyvDJwMlAyADE4MCQvVC8oL1wvSC6oLbgs1CwYK2QqtCo0KewpvCl4KSgo4CiYKFwoRChwKNgpWCnYKmwrKCv8LLwtYC48LswvbDAoMOAxfDHYMgwyQDKoM0Az4DRINGg0YDRoNJw08DVcNgQ3EDh4Odw6yDsUOtg6MDkoN+A2pDXYNYQ1bDU8NNQ0MDNYMkwxNDBIL7wveC9ILuwuXC2oLNgr2CqsKZAoyChYKBQn1CfAJ/wodCjUKQgpKClgKZgprCm4KfgqaCrIKtwqvCqQKlQp7ClYKMwoWCfcJzAmXCVsJFwjHCGwIEgfBB3sHPAcABsMGgAY9BgQF3AW/BaUFkQWGBYMFgQWBBY8FrQXPBd0F1wXNBcoFxQWsBXwFSwUsBScFMgU7BTkFKwUVBPwE3QS2BIwEagRWBEkEPQQzBDEEMQQsBBsEBQPyA+MD2gPfA/oEJARFBEwEPQQjA/0DxAN5AzEC/wLjAs4CtgKgAo0CewJoAl8CbAKOAq8CvwLFAtMC8AMKAwwC9wLhAs4CqgJcAe0BhgFFAR8A+gDQAK0AkABmACP/1f+M/zv+y/5B/cj9d/0y/Mn8MPuH+un6TPmW+Mf3+fdF9qz2JvWu9Ub06/SY9FD0F/Ps88fzofN681XzOPMj8xbzEPMP8xLzGfMj8zDzQfNW82fzafNf81nzZ/OR8+D0WPTq9Wb1l/WB9WL1bPV/9T/0dfNR8kHxlvFO8TXxGvDv8LvwgvA/7+Xvcu737o3uR+4j7h3uMe5N7kjuAO2B7Q7s4+0E7Ujtie3E7gDuNO5E7iPt4u2f7XPtXe1N7TDtBuzg7M/syuy57JPsaexR7EXsK+v167Prfeta60DrJesF6uPqw+qp6pzqm+qb6pXqi+p/6nDqWupC6jfqPepO6lzqYepU6izp7emt6YPpb+lZ6TDo++jW6NTo9Okl6U7pVuky6PHoteic6KPosui66MHo0ej16Srpaemo6d3qBeoh6jXqPuo66ivqG+oS6hXqJOo86k7qSOog6enpxOnK6fTqJOo86jjqLeox6kTqWupu6obqrOrV6uzq8Or56ybrduvR7CHsWux07GPsL+v86/HsEOw/7Gjsjuy77OrtHe1r7ejue+7q7xXvIO9F75Lv5PAU8DDwVvCO8MHw3vD18RvxT/GA8afxz/IB8jbyY/KJ8rny+PM883fzofO989Hz4fPu8/fz//QK9B70P/Rn9I30r/TV9QT1PPV09bD1+fZS9qz2+/dB95H38fhV+K74/vlT+bL6Dvpe+qf69/tW+7r8HPx6/Nr9Pf2g/gD+X/7E/zL/qwAmAJcA8gE8AYgB5QJIApgC0QMVA5QEWwUuBbsF6AXvBh4GhAbpBywHhghNCW4KRgorCRQHpQaTBg8F0wWfBX0FlQXnBkoGoAbvB0gHrgggCKAJIwmMCcIJ1QnyCjkKogsOC2kLtAv0DDAMcgy/DQ0NTg18DaANvw3VDd4N5w39Dh8OOQ5DDk4Oag6UDrkOzA7PDssOxg7IDtYO7A77DvkO8g78DyMPYw+tD/cQORBwEJsQxRD4ETQRcRGiEckR5xIAEhUSJRIyEjwSSxJuEqkS4RLdEnsRzhEKEEkPcQ5cDRYL6QseCskK0wsgC58MNgzBDSMNZA2ZDcoN6w35Df0N/w33Dd4Nww26DboNnQ1JDNQMdwxZDHIMkwyIDD4L0wt/C2ILXgtCCwoK6wsQC04LQgq7CfUJWgkTCPQIzginCKMIuAisCGEIBQfeB/0IKAgeB9kHgwczBuMGkAZbBl0GcwZWBekFbAUyBUMFTQUNBJ4EVwRpBKYEugSABBsDwgOPA3YDXQM3AwQCzgKdAncCWgI+AhwB8wHJAacBkgGIAYEBdQFlAVIBOgEeAP4A4gDLALgApgCTAIAAbQBaAE4ASABAAC4AFwAJAAsAFAAWABAABwAB//7/+P/s/9f/uf+f/5P/mP+f/57/m/+f/6n/rP+e/4b/cf9i/1b/Tf9J/0j/Rf9D/0X/Tf9S/1b/Yf93/5H/pv+4/9T/+AAXACwAQABeAH4AkwCcAKYAtwDKANoA6wD+ARIBJQE9AWEBhwGiAa8BvgHaAfYCBAIIAhYCMwJPAlgCUgJRAlsCYAJRAjICGQIPAggB9gHnAgQCdgM3BA0EpATDBHgEGwQWBI0FMwV+BSIEWgOwA3YDiwOaA4cDfgOaA7MDggL4AlIB2gGlAZYBjAF+AXEBaQFjAV4BWAFTAU8BUQFXAV8BYAFaAU0BPgErARcBAgDsAM8ApgByADn//v+9/3L/Hv7M/oD+Of30/bH9dP0//RD85Py7/Jf8dvxT/DD8EPv1+9n7tvuP+2f7Q/sf+vj60Pqo+oH6V/os+gT54fnC+aH5fflV+Sv5APjX+LP4kvhv+Ev4KPgI9+331Pe896L3gvde9zn3F/b19s/2pfZ59k32H/Xw9cP1mfVt9T/1EPTo9MT0nfRy9Er0KPQH89zzp/Nx8z7zEfLm8rzylPJu8k3yNPIh8g7x9fHV8bXxlPFs8T3xC/Dd8LLwh/Bd8DnwG/AB7+fvzO+z75rvf+9k70jvKe8I7ujuzu667qXuje5y7lfuPe4i7grt+u3x7ebt1e2/7aztn+2X7ZHtju2N7Y3tje2J7YPtfO197Ybtle2g7ajtsu3C7dft7O4A7hPuJe447knuWe5p7n7um+6/7ubvDO8w71Xve++Z77Hvy+/x8B7wQfBX8HXwsvEN8Wrxr/HZ8gLySvK98z7zl/Og82bzJfMW8z/zfvO48+/0MfR/9M71HfVy9c32IvZ09tj3Xfft+Fv4kfil+L/48vkw+WH5gvmh+cf57/oQ+i/6VfqB+p76nvqT+qL63/sm+zL63fpN+cr5f/lU+RT4pvgi97L3Yvcf9s32Y/Xr9Xb1DPSy9Gr0OvQn9Db0ZPSq9PT1LvVM9VT1TvVD9TT1H/UK9Pn08PT39R71cPXn9nD2//eU+C/4uvkV+Sv5CPjO+Jj4bfhG+Bf33/el93X3VvdA9yH26/ai9ln2KvYf9i32O/Y29h32AfXu9eT11vXA9a71rvXA9d32AfYr9k32TvYl9ef1uPWw9dD2BvY39jz18fVY9LH0S/Q89E70NPPc827zCvKg8gfxQPB47+DvgO857vbuuO6H7l3uKu3m7ZrtWO0k7Pbsw+yM7FzsOOwe7Afr8+vp6+nr5uvX673rqOug66Prqeuv67brwevL683rxOu366zrpOub64/rg+t763brcOtn62DrY+tv63/rkuul67rrz+vk6/zsGuw97F7sfeyb7Lvs3u0C7SftT+147aHty+307hzuQO5n7pfu0e8R71DvjO/L8AzwT/CU8NnxG/FV8YnxvvH78j/yg/LG8wzzVvOg8+X0JfRm9Kv09fVC9ZT16PY89o/25vdB95r36Pgw+H741Pkp+Xf5xvoi+oP61fsL+zL7Zfuu+/38PPxl/If8rvzb/Qf9Lf1S/Xz9rP3f/hH+P/5p/pP+vv7r/xf/QP9n/4//t//hAAoANQBfAIgArgDYAQsBRQF/AbMB5AIaAlkCngLfAxkDSwN7A60D4wQdBFsEmgTYBRMFSAV5BagF1gYBBigGSwZqBoMGlwaoBrgGyQbZBugG9gcIBxwHMwdNB2gHhQelB8YH6QgLCCsIRwhhCIAIoQjBCN0I9wkPCScJOwlOCWYJgQmaCbAJyAnnCgwKLQpICmUKiwq2Ct4K/wseCz0LXAt9C6cL6gxPDM4NSQ2gDb4NtA2tDdIOKw6fDwQPPg9KDzwPMw9CD18PbQ9cDzcPFw8CDukOxQ6kDpUOjA5yDj8OBg3bDbcNhQ0+DPMMtgyPDHgMZwxMDB0L5Au5C6wLrQueC3ELMgr0Cr4KjQpmCk4KQgo3CikKHwoZChIKCgoKCh0KOgpUCmgKgwqzCvMLMwtnC54LxAvuDB4MTwxyDIEMhAyMDKYM0Qz8DRUNFQ0KDQcNEg0mDTwNYQ2rDhcOgA61DqcOaw4iDdsNmg1jDUINOg04DScNAAzJDIoMRgwBC8gLqQuiC6ILlQt0C0MLCgrICn4KOgoMCfMJ5AnYCdkJ7goMCiIKLQo6ClEKZApnCmMKbAqFCp0KpwqnCqQKmwqCClwKNQoTCe8JwwmPCVEJBAinCEYH8AelB18HHAbfBqYGZwYhBeMFuwWlBZEFewVtBWwFcwV7BYsFqwXOBeIF4AXTBcsFwwWqBX0FSQUmBR0FKAU0BTIFIQUJBPEE0wSoBHcETgQ1BCUEFQQHBAIEAAP3A+QD0gPLA8sDywPUA/QEKARTBFsEQQQXA+cDrANkAx8C7QLQArsCpQKRAn4CYwJBAigCLgJTAn0ClgKgAq8CzQLnAugC0QK1Ap4CegI1AdQBdgExAQAA1QCxAJYAdwA7/+P/jP9G/vr+iv3+/YT9N/z3/JP7/vta+r76Hflj+Jb30/cq9pL2BPWE9Rz0xfR19Czz8fPJ86vzivNl8z/zH/MJ8v7y//MG8w3zEPMS8xjzKvNC81bzXfNd817zXvNa82rzt/RI9OT1QfVP9VD1fvW69aH09fPj8tLyCPGI8TTw+fDR8LTwj/BO7+vvb+7z7o3uQ+4U7gXuIe5S7l3uD+187P7s5O0n7X7tsO3E7drt/O4N7fTttO1q7S7tCOzr7MvspOyE7Hfsc+xj7EDsGuwA6+3ryuuP603rGer66uPqy+qs6oHqUeot6iPqMOpA6kLqO+o36jPqJuoM6fTp6unt6ffqAOn86d/ppeli6TLpG+kI6Ojoxei76NjpDelD6WTpZulF6Q7o2Oi06KPomeiS6JToqujX6RfpYemn6eHqDOov6kzqXupc6knqMOod6hXqGeok6izqIen+6dDptenA6ejqE+op6ijqIuoo6j3qVOpn6n7qperQ6uzq8ur+6y3rg+vj7DLsYuxw7FnsJuv16+Xr/ewq7Fjshuy97PvtQ+2k7ifusO8O7y7vNe9V75nv3PAF8CDwSfCF8L7w4fD48RnxSfGB8bTx5fIY8krydvKe8srzAvNA83rzp/PH8+Hz+/QS9CP0L/RA9Fz0gvSo9Mj04/UC9Sr1XPWV9dn2KfaA9tX3Ifdt98L4IPh9+NP5KPmE+ej6RvqX+uH7MvuQ+/X8Wvy9/SD9gf3d/jb+kv71/2D/0ABBAKsBCgFfAbYCGAJ8As8DFQNwBAYEzQWDBewGDAYkBmQGvQcFB0EHvQisCc0KfQpCCT0IBwclBqcGUgYDBdMF4QYhBm0GsQb3B0gHnwf7CGcI5wllCckKGApuCtULOQuGC78L+Qw8DIAMvwz7DTQNYg2EDaANvQ3TDd0N4g30DhMOMg5EDlEOZQ6CDp8Oug7SDuYO8g79DxQPMA87DyYPBg79Dx0PWQ+cD90QIhBmEKIQ1BEGET8ReRGsEdcR/RIaEiwSNBI+EkwSXxJ8EqwS5BL7EsUSPhGOENEP/g8ADegM7QwxC6QLKgrSCssLJAuwDDUMnwz8DVMNlQ29DdcN8g4DDf4N7w3rDfEN3g2aDTkM5Qy5DKwMogx8DDML3AueC4YLeQtOCxgLIguUDB0MLQt/CmoJiwksCSAJGwkJCQYJDwj6CK8IUQgbCBkIHggDB8sHlAdfBxMGqAZCBgwGBAX4BcQFfQVUBVIFSwUSBLcEeAR7BKkEwgSbBEQD7wO6A6ADhQNbAysDBgLrAs0CpQJ8AlsCPQIXAewBywG8AbQBpAGJAW0BVQE+ASYBEgEAAOoAzQCyAKIAmACMAIAAdwBwAGEASQA4ADkARABEADgAMAA0ADcAJwAG/+T/0//T/97/6P/r/+X/3//f/+T/4//U/77/qP+U/4H/c/9u/2//bP9n/2b/bP9x/3H/df+E/5n/q/+7/9T/+AAaADMASgBpAIoAnwClAKkAtADGANoA9AEVATcBUgFoAYABmgGuAbsBzwHzAh0CPAJMAlkCagJ6AoQCiAKQApsCmwKHAmYCSwJCAkMCOgIgAgwCIQJyAucDSANoA0oDLQNdA/IEqQUQBOsEbwQOBAMELwRQBFgEbQSXBKAESQOXAtgCUAIDAc4BnAF3AWoBbgFxAWsBYAFVAU0BRwFCAT4BNwEwASwBKQElAR0BEAD/AOYAvwCLAFIAF//Y/5L/Qv7v/qD+WP4T/dD9kf1Z/Sf8+fzP/Kr8iPxm/EP8I/wH++r7x/uf+3j7VPsw+wj63fqy+oj6XPov+gX54/nE+aT5fvlT+Sf4//jc+Lz4m/h0+E34K/gO9/T32vfA96T3hfdg9zv3Fvby9sr2oPZ29kr2HPXt9cH1mfVy9Ub1GvTz9ND0qvSB9Fn0NPQN89/zqvN080TzG/L08tDyrPKH8mXySvI38iLyBfHh8b3xmfFw8T/xDPDe8LPwifBg8D3wIvAK7/Dv1u+876Xvi+9u707vK+8G7uPuxe6s7pXufO5l7k/uOu4k7g/uAO347e3t3O3F7bDtoe2a7ZXtkO2I7YHtfe197Xzteu187YXtk+2g7ajtsO297dLt6O387g3uG+4o7jfuS+5h7njuk+607tzvA+8l70jvbu+T77Lvzu/z8CDwSvBp8IPwqvDo8TTxevGv8d3yHfKE8wXzcPOS82zzM/Mi80bzffOt89z0GfRm9LT1BPVa9bL1/fY89o33CPed+B34bPib+Mz5DvlS+YX5p/nE+eb6Cfop+kj6b/qb+rz6wfqz+q/6z/sC+xH61fpi+fX5tfmR+Vb46vhm9/P3ofdd9w32pvYv9bb1RvTp9KT0fPRv9ID0sPT49UT1d/WI9X/1bPVc9U31QPU19S71MvVS9Z/2IPbD92/4EPig+Rv5cfmV+Yf5W/ko+P343vi/+JH4UfgW9/n3/Pf+99f3fvcS9rf2gvZv9nX2hfaQ9oz2gfZ69n72f/Z09mL2WPZc9mf2dfaH9pT2ivZe9iL19/Xx9gj2MvZi9n/2X/Xu9VX04vS49LX0lPQ+887zXPLX8irxZvC78Env+++n70Hu3e6T7mHuM+397cDthu1Q7Rns3uyk7HbsVew67CHsDOwB7AHsAev169/ryeu767Prruup66nrseu/68zrzevB663rm+uQ64frfOtx62zrautn62TrZutw64HrlOuq68Lr3ev17AvsIOw57FbsdeyW7Lrs3+0D7SbtTO107Z3txu3t7hLuNu5e7pDuze8N70zviO/G8ATwQfCA8MLxBvFF8X3xtfH08jnye/K68vzzRvOS89b0EvRN9I301vUi9XH1wvYV9mn2wfcc93T3xfgT+Gf4wPkW+WL5rPoC+mX6xPsK+zn7ZPuZ+9T8Bvwp/Ef8afyT/L384/0J/TP9ZP2Z/c/+AP4r/lL+ev6m/tT/Av8t/1j/gf+q/9P//wAvAF8AjgC9AO8BJwFfAZYBzAIIAkoCjwLRAwoDPwN0A6sD5QQhBF4EmwTXBREFRAVyBZwFxQXvBhUGNwZTBmsGgAaTBqEGrga5BsQG0gbiBvYHDwcqB0kHaQeLB7AH1gf7CBoINQhPCG0IjgivCMsI5Aj+CRgJLglCCVYJbAmDCZoJsAnICeAJ9woOCisKTgpzCpMKsArPCvELEws5C28Lwww2DLcNLQ2BDaoNtw3LDgEOWQ6zDu0O+Q7lDtAO1A75DywPUg9WDz8PIg8JDusOwg6XDnYOVg4pDfANww2sDZkNbQ0lDNkMnwx4DFoMOgwXC+0LwAucC4ULdQtZCykK7gqzCn0KTgorChkKDgoDCfoJ+An+CgMKCAoWCjIKUQpiCmgKegqnCu0LNQtxC6oL1gwADCwMWAx3DIIMgQyFDJsMwQzpDQANAgz3DPAM9Q0BDRANLg1yDdwOPg5gDi8N0Q15DUANHQ0EDPcM+Az+DPMMzQyRDEwMBgvDC40LcQtvC3cLbgtJCxMK2QqdCl4KIQn0CdsJzQnHCcoJ2gnrCfEJ9AoICjEKVgpkCmAKYgpyCocKmAqnCrQKsgqWCmgKOQoRCesJwAmOCUwI8QiFCB0HygeGBz8G8waxBn0GSAYKBc8FpwWQBXsFYwVVBVkFZwV2BYkFqQXNBeMF4gXTBcUFuAWfBXUFRwUnBSAFKgUyBSkFEQT3BOEExgSaBGMEMgQUBAED7wPfA9cD1APKA7gDrAOuA7UDvAPOA/4ERAR7BIAEVwQdA+UDqQNiAxoC4gK9AqMCjAJ5AmkCUAIrAgwCCgIpAlECbAJ6AosCpQK4ArIClQJ0AloCPAIMAcoBhAFEAQYAzQCjAIgAYwAW/6v/R/7//rv+VP3Q/V39EfzM/F/7xPsc+nz52Pkd+Fj3pfcM9nv16/Vp9QH0rfRd9BHz1POt85PzdfNQ8yjzBPLp8t3y3vLr8vnzAfMC8wTzE/Mr80HzTPNS81rzVvM78yPzQ/O29E30uPTf9Pn1PfWR9Z31LfRf83vyqPHr8Uvw4PCz8Kfwj/BP7+zveu8K7qTuRu347dft/O5S7o3uZu3p7XLtU+2H7b/txe2l7Y7tle2g7ZLtZO0k7OXssOyD7FnsNOwc7BXsFewJ6+vryOus65DrZ+st6vLqw+qi6ozqeuph6jbp++nJ6bzp0unt6fbp8Ont6e/p5+nM6avpkumE6YDpg+mG6XbpSOkL6Nzox+jC6L3ov+jb6Q/pQ+lh6WPpVek+6SHpAOje6L3oneiE6Hzoi+iw6OjpK+ls6aLpz+n86i3qVOph6lHqM+oW6gTp++n66frp7unU6bfprenA6ebqC+oc6hvqGeok6j3qWOpr6n7qm+rC6t/q7Or+6zHri+vu7D3saOxx7FfsI+vu69fr6OwT7EXsfezB7RLtb+3b7lTuw+8K7yTvNO9d753v1O/w8AXwMPB08Ljw5fD/8R3xTvGM8cjx/PIv8mryp/Le8wrzMfNc84rzsvPO8+f0BPQk9D70UPRl9If0svTZ9Pb1DfUp9VD1gvXA9gn2WPao9vb3RPeZ9/X4Uvit+Qf5ZfnJ+jD6kPrj+yv7dfvK/Cv8lPz8/V/9u/4S/mv+yf8s/47/7QBMALABFQF2AdkCQQKrAwoDYQPOBGkFHAWtBf0GJQZbBq4G9gcYB0UHzwjJCdIKVgoPCTgITweqB0QG9gaxBo4GngbSBwsHQAd8B8QIEghoCNEJUAnVCkcKpgsAC1oLogvTC/8MPQyMDNMNBQ0sDVENcw2ODaMNuA3KDdMN2A3oDgcOKw5GDlkOaw6ADpgOtQ7ZDvkPDw8kD0YPcQ+GD3APQQ8mDzgPaA+eD9cQGhBoELEQ7BEfEVIRhhG4EeoSGBI7EkkSShJREmQSdxKFEp0SxRLnEtgSiBIJEW4QsA/GDtIOCg13DN4MDQsiCn4KXwqvCysLrQwzDLcNJg10Da4N4Q4FDg8ODg4WDiIOEw3dDZYNXw07DRgM5wynDFwMEwveC8MLpwtuCy8LOgu0DEoMZAu8CqoJzQl3CXwJjAmJCXwJZgkwCNkIgQhKCCwICgfYB6wHkQdzBy8GvwZKBfsF2gXNBbkFnwWLBYAFawU6BPMEtASZBKAEqwSaBGUEIwPxA9ADrwOCA1cDPgMwAxcC6QK8AqACjAJqAjcCDQH8AfQB4AG7AZcBfgFqAVUBPwErAREA8QDYANAAzgDCAK0AoACfAJgAgQBnAF4AZQBoAGIAYgBuAHAAUwAg//z//wAcADYAPQA1ACsAJQAiABoACv/z/+D/0v/D/7H/ov+f/6X/p/+j/6L/p/+o/6D/l/+b/63/wf/U/+wACgAnAD0AUgBsAIcAlQCXAJsAqgDDAN8BAwEvAVoBeQGLAZwBsAHEAdYB6wIMAjQCWQJ1AokCmQKlArACugLEAssCygLAArACngKSApACkQKJAnQCXwJdAnQCkwKkAqMCqQLbA0YDxgQYBBoD6gPKA9oEBgQpBEkEfwTCBNYEjgP9A2QC6wKFAh4BxQGdAasByQHLAacBdAFMATUBKgEiARgBDQEGAQYBCwEPAQwBAQDwANsAvwCYAGUAK//t/6r/Yf8R/sL+dv4w/ez9rP1x/T39Dvzk/L78m/x5/Ff8NvwX+/X70Puo+4T7ZPtD+xz68frE+pf6afo7+hH57PnK+af5gPlV+Sr5Bfjm+Mn4pfh7+FD4LvgU9/z34ffE96j3iPdj9z33F/by9sn2n/Z09kn2G/Xs9cD1mfVz9Ur1IPT69Nf0s/SL9GL0OfQN89vzqPN4807zJ/MD8uLywvKg8nzyXvJG8i/yD/Ho8b/xmPFt8TzxCfDd8LbwkPBr8ErwLvAU7/jv3e/G77DvmO9571XvLu8G7t/uve6g7ojucu5d7kruNu4g7g3t/u307ejt1+3C7a7toe2b7Zntk+2H7XjtcO1x7Xfte+1+7YXtkO2b7aPtqu227cjt3e307gnuGe4j7i7uQO5Z7nLuiu6p7tLu/+8m70fvae+O77Hv0+/38CLwUPB68J3wv/Dn8RjxUfGI8bvx9PJF8rHzFfNH8z7zI/Ml807zgvOu89j0D/RR9JT03/U69Zz16vYj9mb20vdc99v4NPh3+MH5F/ln+aD5yPnp+gn6J/pD+mX6jvq4+tT62PrI+rv6wvrW+tT6nvpA+er5u/mj+XP5EfiU+Cb31/eV90X23fZn9e71fPUe9N70vfS39Mz0//VI9ZD1u/W/9an1jvV79XT1evWO9az11fYV9n33Dfex+FD43PlQ+ab50vnU+bz5nPl9+V/5Rvkv+Q343fis+JL4jfh0+CT3qPcz9vD24Pbv9xD3P/ds94b3h/eE9473mveT93P3SPci9wT27fbf9tf2wfaT9lz2NvYu9jn2S/Zp9or2jfZT9er1hPVB9Qj0rPQj84zy//J48e/xePEq8PvwvvBR78DvMu7D7nHuL+317cLtj+1Z7R7s5Oyx7Irsa+xS7DvsJ+wZ7BHsDOwF6/rr6+vc68zrwOu467TrtOu768bryuu/66XrjuuD64Lrf+t262/rbutx63Hrc+t864zrneuw68fr5ewC7BjsKuw97FXsceyR7LXs2uz/7STtSu1z7ZrtwO3m7gzuNO5g7pTuze8I70Hveu+47/fwMvBq8KXw5fEm8WHxm/HY8hzyX/Kf8uLzLfN688Hz/fQ39Hf0vvUI9VP1oPXw9kT2nfb290z3nvfw+Ef4ovj4+UT5jvnj+kX6pvr2+y37Vft8+6P7yPvn/Af8LfxY/IL8qfzO/Pj9KP1b/Y79vv3p/hD+Nv5f/oz+vP7t/x3/S/92/5//zP/+ADYAbgCkANoBEgFLAYUBwgIEAkgCjQLNAwgDPwN3A7ED7gQsBGgEoQTYBQ8FQQVuBZcFvQXkBggGKAZCBloGcQaDBpAGlwadBqUGsAa/BtIG6QcGByYHRwdrB5MHvAfiCAQIIQg8CFsIfQifCLwI1wjwCQoJIwk5CU4JYgl2CYkJmgmqCbsJzQnjCf4KHAo2CkwKYgqACqAKwArnCycLiwwLDJANAg1XDZINvg3rDigObQ6gDqwOlg54Dm0Ogw61DvIPIg84DzMPHg8EDuQOuQ6KDlwOKQ3vDbYNlA2KDXwNTw0FDLwMiQxnDEMMGwvzC84LpwuAC1sLOQsSCuUKsQp9CksKIAoBCfAJ5QnbCdQJ1wnhCe8KAgoiCkwKbQp6CnoKiAqzCvQLOgt4C7YL6QwRDDMMUwxqDHUMdgx7DIwMqgzJDOEM6AzjDNkM1AzUDNgM7A0kDXsNyQ3VDZANJQzQDKsMpAyiDJ8MpAyyDLUMmwxkDBwL0guMC1MLMwsyCz0LOQsYCuQKrwp9CkgKEAnjCccJuwm3CbkJvwm+CbIJrQnJCgQKQApfCmIKYQpoCngKjwqwCs8K0wqwCnYKPwoWCe8JxAmQCUsI6AhvCAAHrgdrByAGyQZ9BkkGHwXvBbwFlgV7BWIFSwVBBUoFXAVsBYEFogXHBd0F3AXPBcIFsQWUBWsFRQUwBS8FNgU0BR8E/wTjBM4EtQSJBE8EGgP4A+YD1QPFA7oDswOoA5sDlAOZA6EDqgPGBAgEYQShBKEEawQmA+sDsANrAyAC3wKvAocCaAJWAk4CQAIhAf0B7QH/AiECPwJSAmUCewKJAn4CXwI7Ah4CBQHlAb0BkQFdARsA0QCWAG8ARP/3/4r/If7T/oz+Kv2w/UT89Pyi/Cb7gfrT+i75g/jI+Az3aPbd9lj1z/VR9Oz0l/RF8/jzvfOX83zzX/M78xXy8vLW8sTywPLJ8try6vLz8vvzCfMg8zTzPfNA80LzO/Md8vnzAPNR88v0K/RZ9IL00PUv9Vz1L/S69BzzV/Js8Yjw6fCn8Jfwe/A4797vfe8X7qbuMe3W7cHuCe6N7vbu+e6a7ijt7O3k7dftn+1Q7RntC+0R7Qzs8OzD7I7sWOwl6/fr0+u/677rweu5653rd+tU6zPrC+ra6qbqdupN6i/qH+oQ6e3psel46WXpeumZ6aTpnemW6ZTpielu6U3pMOkb6Q3pC+kR6Q/o8ujD6J3okuif6LXo2OkJ6T7pWulS6TXpHOkQ6Qjo9ejW6K7oiehw6Gfob+iF6Kro2ukP6T/pa+mh6eHqHOo46i/qEOnx6dvpzOnD6bvpr+mf6ZbpoenB6ejqA+oM6gnqC+oe6j/qYOpy6nvqieql6sPq2+r36zDrh+vn7DPsYOxt7FjsJ+vx69jr6OwQ7D/sdOy97R7tju4A7mjuuO7p7wTvJe9e76Pv1e/q7/zwKfBz8L/w9fEU8THxX/Gb8dXyCPJB8ozy5PMv81zzcfOG86XzxfPb8+z0BvQq9Ez0ZfR99KH0zvT49Rf1MPVN9XP1pvXm9i/2e/bD9w73Y/fC+CL4fvjc+T75pfoL+m/6z/sl+237rvv5/Fn8xv0y/ZL96P4//pz+/f9d/7YACABeAL8BKQGTAfsCZgLXA0IDpwQZBKcFPgW1Bf4GPAaSBvAHJAcrB0sH0AixCYMJ2QmbCQsIgAgiB+UHsAeAB2cHcwefB9cIEAhMCJEI4wlBCa4KIgqOCuQLJwtlC6ML2wwKDD8MhgzVDRQNOQ1RDWwNhw2ZDaINqw24DcQN0A3jDgIOJQ5EDl4OeA6SDqwOyQ7rDwsPIg84D18PlA+3D60Pgg9gD2YPjg/BD/kQPBCKENQREBFAEWwRmBHGEfoSLxJWEmISYRJpEnwSiRKFEoQSnRLEEtISrxJjEfoRZBCYD70PEg6aDgsNGQvbCr8KIwoLCkkKugtWDAoMsA0xDY8N1w4IDh8OLw5GDlcORw4VDeANvg2jDXUNNAzxDLQMegxFDBwL8guwC2YLTwuOC+kL7gtsCqUKDgnaCeQJ9AnyCdsJpAlFCNoIiwhiCEEIDAfRB7AHpQeLB0QG4QaLBlcGOQYaBfYF2gXKBb8FqgWGBVYFHwTsBMoEuASoBIgEVwQqBAsD8QPNA6UDhwN0A1gDKwL/AuYC1QKzAn8CVgJIAkICKgH+AdYBwAGwAZcBegFdAUEBIwEPAQoBBwDzANMAwgDIAMwAuACWAIcAkQCfAKEAoQCjAJgAbwA8ACkARgB1AIkAdgBVAEIAPwA+ADEAGQAC//j/+v/4/+z/4P/g/+v/9P/0//P/9//1/+b/0P/H/9L/5//7AA4AJQA9AFEAZAB7AI8AlgCVAJkArgDOAPIBGwFLAXoBnAGvAcAB1gHwAgcCGwIwAkkCZgKFAqICuQLLAtoC5wLuAu4C7ALvAvUC8QLfAswCxwLNAs4CwgKvAqICoQKoArACugLQAvcDKANNA1cDTANGA1ADYgN3A50D4gQvBFMENAPnA5QDQwLgAnQCLwI7AoECsgKRAiEBmwEzAPwA6gDrAPEA9QD0AO8A6wDmAN4A0AC+AK0AnQCIAGUAMv/2/7f/dP8r/t3+kf5K/gf9xv2J/VP9JPz4/ND8qvyI/Gf8Rfwg+/n70Pur+437dPtY+zT7Cfra+qr6e/pO+iP5/PnW+bD5iPle+Tb5E/j2+Nn4sviD+FX4MvgY9//34/fE96X3hPdf9zn3FPbv9sj2nvZz9kn2HfXw9cP1m/Vz9Uv1IvT+9Nz0uPSR9Gb0OfQI89PzovN481TzMPMM8uvyzfKr8ojyZ/JN8jPyEfHo8b7xlfFq8TrxCvDg8LzwnPB68FrwPPAd7//v5O/P77vvou+B71vvM+8K7uHuve6h7o3ue+5p7lPuOe4e7gjt+O3r7d3ty+267avtn+2Y7ZTtj+2D7XPtaO1o7XDteO1+7YPtiu2Q7Zftn+2r7brtzO3j7f/uFu4j7ivuOu5U7nDuie6m7s/u/+8q70nvZO+E76vv0u/58CHwT/CA8LHw2fD48RXxPfFx8arx4fIe8mjytPLn8vnzAvMf81PziPOy89z0DvRD9Hf0ufUW9YH12PYR9k32r/cx96r4BPhR+Kv5EPlo+af51/oB+iX6QPpc+oD6q/rN+tv62PrN+sf6zPrQ+rz6gfor+eH5vPmr+YL5Kfi1+E/4BffD92/3AvaI9hL1p/VQ9Rf0/vUC9R/1VPWY9dP17/Xm9cz1uPW19cf18vY09oX22fcx95f4DfiE+O75S/me+d75/Pn7+ez53/nP+bf5nfmN+YD5aflE+Rv46PiU+BT3i/c19y/3YPeh9+b4M/h9+Kb4pviX+Jn4pfia+Gf4HPfS95P3ZPdD9y33DvbZ9pr2bPZb9lv2YPZu9ob2lfZ+9kH1+fWv9U30uPP48zbykfIR8bvxm/Go8bHxffD+8FnvuO8p7qTuLu3S7ZDtW+0j7O3sv+yd7IHsZuxQ7EDsNOwn7BrsEOwO7A/sDOv+6+vr3OvW69Pry+vC67/rv+u265/riOt963/rgOt763fre+uD64friuuU66TrtevE69br7+wJ7B/sMexF7F3seOyU7LLs1ez77STtTu147Z/tw+3o7g/uOe5n7pru0O8G7zjvbe+p7+rwJPBW8IbwvfD68TbxbvGq8ezyMvJ38rzzA/NN85Tz1/QY9F30pfTw9Tn1hPXT9if2ffbT9yf3ePfL+B/4cvjD+RD5X/m3+hX6cvrC+wD7LvtS+3D7i/up+877+/wq/FT8efyf/Mn89v0l/VP9gP2t/db9/f4k/k7+ff6w/uP/Ff9D/2//nP/PAAgARACBAL4A/AE6AXkBvAICAkcCiwLMAwkDRAN+A7gD9wQ3BHQEqwTgBRMFRgV0BZsFwAXkBgYGJAY9BlQGawZ9BocGiwaOBpUGngarBroGzwbqBwcHJwdLB3IHmwfCB+YIBwglCEUIaAiNCLAIzgjoCQEJGQkxCUcJXAluCXwJiAmTCZ8JrQm/CdcJ8AoEChIKIwo7ClUKbQqPCtQLSAvZDGgM3A03DYANwA36Di8OWg5sDlsOOA4fDiYOSg5+DrUO5Q8EDw0PAQ7rDs4Oqg5+DkwOEw3YDaMNgw10DV4NKgzhDKAMdwxaDDcMDAvjC8ALmQtqCzgLCgrgCrQKhwpaCi8KCAnrCdgJywnCCbwJvAnDCdMJ8gojCloKgQqRCpcKqQrQCwULPwt7C8ML/QwiDDUMRAxRDFoMXwxoDHkMkQyrDMAMygzFDLcMqQyhDJ8MrgzaDR0NVA1QDQcMoQxWDD8MRgxNDEsMTgxfDG8MZAw2C/ILpwtfCx4K9ArqCvYK+wrlCrkKiQpdCi0J+QnLCa0JnwmZCZYJlQmLCXgJcgmRCdYKHQpJClgKXwpoCncKkwrACuoK7wrECoUKVAoxCggJzgmKCToI0ghWB+AHigdIBv4GpgZVBh4F9gXOBaQFgQVkBUkFNgU0BUIFUgVhBXgFnwXHBdsF2QXOBcUFswWPBWQFQwU5BTwFOwUrBQ4E7ATQBL0EpQR7BEIEDgPtA9sDzgPAA7IDowOUA4kDhwONA5EDlwO4BAMEZASlBKUEbwQuA/UDvAN4AzAC8AK3An8CTgI2AjUCNAIaAe8B0gHXAfUCFAIrAkACWAJpAmQCSAImAggB7gHQAawBhwFaARoAxwB2ADgABf/D/2r/Cf6y/lv99P2A/Rf8wPxf+9n7MvqE+dr5Kvhw97z3I/aj9in1q/U39NX0ffQp897zpvOB82TzRPMk8wXy6fLQ8rvysPKw8rryyvLZ8uXy8/MG8xfzG/MU8wry/fLm8s7y1vMU83DzuvPj9A70WfSy9Oj06fTA9GrzyfLY8dPxEvCx8IbwV/AX79Lvh+8g7pjuFe3Q7e7uZe7872DvXu8B7ovuMO3u7aPtPezX7JXsgOyA7HvsZuxD7Bzr9uvP66jrhutz63Trfut6617rNesN6urqxOqV6mLqLun96dfpwOmx6ZPpX+kq6RbpJ+lB6UrpQekz6SbpEej16NroyOi86LTotujD6M3oxOiq6Jbol+is6Mzo8+ke6TzpOOkV6O3o1+jS6MjoruiJ6GXoTOhC6EToS+hY6G3oj+i76OfpFOlL6Y/p0On16fTp3OnA6anplumF6Xbpaulk6W3pi+m26dzp7+nv6evp8+oO6jfqXOpt6m7qcOqD6qPqxurx6y/rgevX7B7sUOxn7FnsKevx69rr7+wb7ELsbOyz7R/tnu4T7m3uqe7R7vXvJu9r77Lv4+/88BTwRfCO8NjxD/Ex8U3xc/Gi8dTyB/JI8qHzCPNb84bzkPOZ87Xz2fPx8/70EPQx9Fb0dfSQ9LL03vUM9TP1VfV39Z710PYQ9ln2ovbq9zb3j/fu+Er4ovkB+Wn50foz+pH68/tS+6D74Pwo/Ij8+P1h/br+D/5p/sn/KP+A/9MAJQB9AOIBTwG8AiUCkgMIA34D7QRbBNQFTwW0BgEGUga5BxYHPwc/B14H1QiECRIJQAkcCNwIqwiPCIAIcAhWCD8IQAhrCLEI9wkvCWgJtgoaCoIK3AshC1QLfAukC9UMDQxHDIMMxQ0IDT0NXg11DYsNnA2iDZ0NnQ2pDb4N1Q3uDgsOKA5DDmEOgw6nDsYO4g7+DxkPLg9AD18PjQ+0D7kPoA+ID44Ptw/zEDcQfhDEEQIRNhFhEYcRqxHTEgYSPRJkEnISchJ8Eo4SkRJ/EnQSjhLCEuQS2BKrEmkSARFhEKUQBw+UDwgOGQzOC4MKjQoFCdsKCQqQC1UMJAzRDVUNuA3+DisOTw5zDocOdQ5GDhoOAA3jDa8NcA0+DRkM7Qy0DHwMSQwKC70LgAtwC3QLUgr2CowKSQo0Ci0KIgoVCfwJuAlGCNIIkAh8CGIIJwfnB8kHwAecB0oG9wbXBuUG5waxBlcGDQXtBegF4wXWBcMFpwV3BToFAQTVBKsEegRPBDkEMgQjBAID2gO4A5YDawM+AxoC/QLXAqsCjgKKAokCcAJAAhkCBwH9AeUBwgGgAYEBZAFOAUQBOQEdAPcA4wDqAPIA3wDAALcAzgDpAO0A2gC/AJwAcgBXAGoApQDWAM8AlABSADEAMAA4ADQAKAAfACYANAA7ADIAJgAmADMAPgA/AD0APwBAADMAGwAKAAoAFAAfACsAPABRAGUAegCPAKEAqACoAK8AxADkAQcBLwFfAY4BtAHOAeQB/AIVAiwCPwJRAmQCegKWArUC0QLlAvYDBgMPAw4DDAMUAyYDLgMiAwsC/QMAAwgDDAMIAwAC+gL5Av8DBQMHAwQDBAMJAw0DCQMAAvYC7wLzAw4DQwN7A5QDhgNnA0wDLgMCAuAC/QNpA+QECwOpAt8CBAFaAPcAzADFANAA2gDXAMMAqQCYAJIAjgCFAHcAbABhAEwAJP/v/7X/ev84/u/+pf5g/h/94P2h/Wn9N/0K/N/8t/yT/HL8T/wm+/r70vuy+5v7iPtw+0/7JPry+sD6kPpk+jv6Evno+b/5lvlu+Un5KPkK+Ov4wviR+GH4O/ge+AL34/fA9533efdS9y33C/bp9sP2mvZx9kn2IfX39cv1ofV39U31JvUC9OD0u/SS9Gb0NvQB88vzmvNz81PzMvMP8uzyy/Kp8obyZfJK8jDyDvHl8bzxlfFs8T/xEfDo8MbwqPCJ8GfwRPAh8ADv5u/S777vpO+C717vOO8R7unuxu6t7pzuj+5+7mLuQO4f7gft9+3o7dbtxO227aztoe2V7Yzthe197XHtaO1l7Wvtc+177YDtg+2F7Yrtle2k7bDtve3Q7e/uDu4g7ifuNO5N7m3ui+6p7tDu/e8n70TvXe9776Lvze/38B/wS/B/8Lbw5/EI8R7xO/Fr8afx4fIT8kTyd/Km8sry8PMi81zzjvO18970DvQ99Gn0pvUE9XT1zfYB9jT2jfcL94b35/g9+J75B/li+aX52/oM+jb6U/px+pr6yPrm+ur64Prc+uX68vrz+tb6lvpC+fr51fnE+Z/5Tvji+ID4OPf295z3Jfam9jL10fWG9Vf1SPVV9Xn1rfXl9gz2EvX/9fH1//Ys9m/2xfcs95n3/fhT+KD46fkp+Vz5ifm7+ez6Dvob+iD6I/ob+gL55/nf+ej55vnC+Xj5D/iI9/T3g/dm9573/PhR+Jr46vk7+Wj5YflD+TT5Nfkj+Oj4lPhE+AX31Pew95L3bvcy9uf2p/aG9oD2h/aU9p/2mfZx9jL18fWw9VP0w/QK80nymvIN8bvxtfHj8f/xz/FW8MPwMu+a7vPuVO3d7Y3tSu0C7MHslex87GfsUOxA7DrsN+wv7CHsF+wZ7CPsKuwj7A3r+evv6+vr4OvO68Drveu566vrluuG64Drfet6633riuuY66Drpeuw68Tr2Ovo6/fsCewb7CrsOuxQ7Gzsh+yf7Ljs2O0A7SztWO2C7ajtze3x7hjuP+5p7pnu0O8H7zrva++i797wFfBB8Gnwl/DO8QfxP/F58bnyAPJI8ozyy/ML80/zl/Pj9C/0fPTJ9Rf1ZvW29gj2XPav9wH3VPem9/b4QviL+Nj5LvmL+ef6PfqJ+sr6//sn+0P7Wft1+5v7y/v8/Cb8Svxu/Jf8w/zu/Rj9Rf10/aL9zP30/h/+Tf5//rH+4/8U/0P/cv+k/9sAFgBWAJoA3gEhAWUBqwHyAjgCfAK+AwADQQN/A7sD+gQ8BH0EtgTrBR8FUwWBBacFygXtBg8GLQZGBlwGcQaCBowGkAaUBpsGowasBrgGyQbfBvcHEwczB1cHewegB8QH6QgLCCwITwh4CKEIxwjkCPwJEwkqCT8JUwljCW8JeQmBCYgJjwmZCaoJvwnSCeIJ9AoJCh8KMQpRCpsLHAu8DFIMyQ0mDXkNwg37DiMOOA43Dh0N+g3pDfgOHQ5IDnUOog7HDtgO0w7DDq8OlA5uDj8OCg3UDaENeQ1bDTgNBAzFDI8MbQxTDDAMBQvcC7YLjQtaCyYK9wrMCqEKdQpNCikKCAnrCdUJxgm7CbMJrQmtCbwJ4wofCl0KiwqiCrMKzQrwCxcLRAt/C9QMEAwtDDMMMww3DD4MRgxUDGoMhQydDKoMqQybDIYMcwxpDGsMfAygDNIM9AzmDKEMRwwEC+8L9Av6C/YL9wwIDB0MHwv/C8gLhwtCCv0KxgqvCrcKwwq3CpIKYwo2CgUJ0gmlCYYJcwlkCVoJVglQCUcJRwlnCaYJ6AoYCjoKWgp4CpEKrwraCwALAArZCq0KlwqECksJ5QlyCQYImAgcB6QHSQcLBs8GiAZBBgYF1wWrBYUFZwVNBTUFJwUtBT0FSwVYBXgFrgXfBfMF7AXfBdQFvQWSBWEFQwU8BTwFLwUTBPME1gTABKwEkwRvBEIEFwP3A+MD1gPKA7sDpgORA4UDhwOOA48DkAOrA+4EQgR8BIAEXgQvA/0DwwOAA0UDFQLhApwCUwIoAiICJAIMAdwBtgG3AdUB9gIOAiUCRQJjAmoCVQI0AhgB/gHXAaEBZwExAPMAowBE/+3/qv9y/y7+2v58/hf9qf06/NP8cvwF+3r61vor+YD4zvgZ93H24/Zp9fT1gfUY9Lr0YvQN88XzkvNs80nzJ/MK8vLy2/LD8rHypvKj8qXyq/Kz8rvywvLO8tjy1/LJ8rTyo/KY8pbyr/Lr8zbzcPOS87fz8PQs9E70V/RV9DXzxfLz8fzxM/C28GjwKu//7+fvvO9M7qTuE+3s7j3uzu9J73LvPu7O7lXt7e2Q7Sfss+xO7BPsAOv+6/Lr0+ut647rfetx61vrPusp6yzrPutD6y7rCeri6r3qkOpZ6iDp7Om/6ZfpdulY6TTpBujd6M7o2+ju6PXo7ejd6Mjoq+iL6Hbocuh26HzoiOie6LTov+i+6L7oxejR6ODo8+kH6Qvo8ejH6Kbom+iS6HfoSegd6AToAOgI6BPoHOgm6DfoV+iD6LLo3+kR6U3piumx6bvpr+mZ6YDpYulF6TDpJekp6UDpaemZ6b7pzunO6c3p1+ny6hfqOupN6k/qUepi6oTqs+ru6zfrh+vS7BLsSOxo7FrsGuvS67fr2ewT7EDsZ+yv7SXtru4i7nLuqe7X7wjvQ++F78Pv8vAV8D3wdfC38PbxJvFI8WTxf/Gg8czyBfJN8qTy/vNG82rzdPOD86zz5PQO9B70JfQ49Fj0efSW9LT03vUR9Uf1evWr9d32FfZX9qH26/cz93/30fgj+HH4wPkb+YL55/pC+p77B/ty+8v8FPxi/Mb9Mv2Q/eD+Nf6U/vT/Sv+a/+4ASACoAQ8BfQHtAlkCyQNDA8AENQSdBQAFYgW4BgUGXgbGBxsHPgdEB2sH0whRCKYIwgjFCM0I2gjlCPUJBgkGCPQI8wknCYMJ0An1ChEKTgqtCwgLSAtzC5sLxQvvDB0MVAyNDMIM8w0lDVcNfw2YDaYNqw2oDaENoQ2wDcoN5g4BDhoOMg5JDmUOiQ6xDtQO7g8IDyQPPQ9PD2EPeg+XD6gPpQ+eD6oP1hAeEHEQvhD8ESsRUxF6EZ4RwBHlEhMSRxJtEnsSfxKLEpkSlhKAEncSnBLeEwwTCBLhErIScRIFEXgQ8BB7D+4PEg3nDKcLjAqqCg4J1AoTCrcLhAxHDO4NeQ3lDjAOZQ6ODqIOlA5wDk4ONQ4TDdsNog19DWQNOwz/DMMMkwxeDBYLyAuJC1ILDgrBCokKcwpmCkYKGgn9CeQJqwlGCOUIuQi1CJwIUgf+B9EHwgeaB0cHAQcIB08Hdwc6Bq4GLwX5Bf4GDQYSBhYGGAX/BbwFYQUPBM8ElwRoBFEEVARYBEQEGwPyA9ADqANyAzcDBQLcArwCrwK2ArsCpgJ5AlICQwI+Ai0CDQHqAcoBqwGPAXwBagFNASoBFQEUARIA/QDkAOYBCQEnASAA9AC/AJQAfACKAMYBEwE4ARMAuwBqAEQARABRAF0AZwBzAIMAkQCSAIIAbQBjAGkAcQBxAGsAawBwAG4AYQBSAEgAQgA/AEMAUgBlAHcAhwCaAK4AuwDDAM4A4AD5ARYBOwFoAZYBvwHfAfsCEgIiAjACRAJiAoACmgKzAs0C5ALzAwEDEgMkAywDLAMwAz4DTQNSA04DSANFA0MDQgNDA0EDOwM0AzUDOwM9AzYDKwMmAyUDHQMOAvwC7gLpAvIDBgMWAxAC9QLfAuAC+QMmA3sEDQTDBUYFQQSmA7cCzQIdAacBVQEZAO0AyACeAGgANwAfACcAPgBMAEcAOwAxACMACP/d/6v/dv87/vj+s/5y/jX99v23/X39Sv0c/PD8xvyh/H/8Wvww/AX74fvH+7X7pfuO+2z7P/sM+tj6qPp9+lT6Kvn9+dD5p/mC+V/5Pvke+Pr40Pig+HH4Sfgp+Ar36PfD95z3c/dK9yX3Bfbl9sH2mvZy9k32J/YA9db1q/V/9VP1K/UH9OT0vPSQ9GD0LfP488PzlPNw81LzNPMS8u7yyfKk8oDyX/JF8ivyCvHk8bzxmPFz8UrxH/D28NPws/CS8G3wRPAd7/zv4+/P77nvne9871rvOO8V7u/uze6z7qPulu6E7mfuQu4i7gvt/e3s7dbtwe217a/tpu2X7Yftfe147XPtbe1p7Wrtb+137X7tgO2A7YXtk+2l7bLtue3H7eLuA+4a7iPuLu5G7mjuiu6r7tDu+O8e7zzvWO9576Dvyu/18CDwTfB/8LXw6vER8SvxRvFx8avx5vIW8kDyavKY8sfy+vM082zzl/O58970DfQ99Gn0qPUK9X/12fYE9iT2avbg92L30fgx+Jf5Afld+aP53PoR+j/6YvqF+rP65/sK+xH7CvsJ+xX7Ifsa+vn6vPpv+in5//ns+c75ifkj+MH4dvg099v3Yfbd9mn2D/XO9aj1nvWv9dP2AfYt9kP2OfYk9i72dPbr92/35/hO+Kf48fkp+Vf5gfmj+bn5x/nc+fv6HPo5+lH6YPpb+kL6Lfo0+lH6WPoj+a/5Ffh29/L3sPfE+Bj4cvit+Nb5Evlf+ZT5lfl2+Vz5Tvkz+Pr4s/h0+EL4Fffs9873sfeC9zz28/bD9rX2vvbL9sb2l/Y69cj1ZvUe9Nn0ffQG83ny2fI38b/xm/G48c3xoPE68MjwVe/Q7zjutO5j7ivt2+1m7PHsn+xx7FXsQOw47DzsP+w57C3sI+wj7C7sPexD7DPsFuv96/Dr6Ova68zrx+vG68Drruua64zrhOuD64zrn+uw67rrv+vM6+Lr+OwL7B3sMOw97EXsTuxj7H7smOys7MPs5O0P7TztZu2P7bbt3e4D7inuTO5w7pvu0u8N70Pvcu+f79DwAvAu8FTwfvCv8ObxHvFW8ZTx2vIh8mLymfLO8wrzU/Ok8/T0QfSQ9OP1OPWN9d/2MPaB9tT3KPd+98/4Gfhg+K/5Cflo+cP6E/pa+pn60Pr5+xX7K/tF+2r7mPvH+/H8Fvw8/GP8i/yx/Nr9CP06/Wz9mv3F/fP+JP5V/ob+tv7m/xj/Sv99/7L/7AAsAHIAuAD8AUABhwHPAhYCWQKeAuYDLwN0A7YD9wQ8BH4EuwTyBSkFXgWOBbUF2AX8BiAGQAZaBm8GgQaQBpoGoAamBqwGswa7BsYG1QbnBvoHEAcsB0sHaweLB7AH1gf7CB0IPwhnCJMIvAjdCPgJDwklCTcJRwlUCV8JaAluCXEJcgl0CXwJiwmfCbIJxwngCfgKDwo3Co4LHQvEDFcMxQ0fDXcNyA4BDhwOIg4YDgAN4w3WDd8N9w4VDjkOZg6PDqIOnw6UDosOew5aDiwN+g3GDY8NWg0tDQcM3gyvDIQMZAxIDCQL+gvQC6kLfwtRCyMK+ArPCqMKeApUCjcKGgn9CeYJ1wnLCb8JsgmuCb4J5wolCmQKkwqzCs4K7QsNCyoLUAuMC+MMGAwuDC0MKAwqDDAMOwxODGwMjQyiDKEMjQxuDFAMPQw4DD8MUQxuDI4MnAyDDEUL+Au8C6ALmguZC5ULlwuoC8ALzQvBC54Lbws2CvMKtAqRCo8KmAqNCmkKOgoJCdcJpAl4CVkJPwklCRAJCgkOCRUJIglCCXIJpAnTCgwKVAqYCsYK4Qr9CxMLEQr9CvsLEgsPCrcKDAlPCLYIOwfCB0sG7wa3BpEGaAY1BfoFvQWFBV4FSAU2BSQFHAUmBTgFQwVSBX4FxwYKBiQGGAYEBfEF0QWbBWMFQgU4BTAFFwT1BNgEwgSvBJcEfARhBEcEKgQMA/ID4gPYA8sDtQOcA48DkQOYA5gDlgOmA9AEBwQuBDoEMgQcA/MDtQN1A0wDOAMXAs0CbwIpAhACCgHvAb0BmQGeAcIB5AH7AhYCQwJyAoUCcgJOAjMCHAHvAZ8BQQDyALMAbwAS/63/WP8Y/tv+jf4s/cL9V/zw/Iv8JPus+xz6efnN+R74bffE9y72rfY29cH1U/T09J30R/P087Lzg/Nc8zPzDfLy8tzywvKn8pfylfKY8pfyk/KQ8o3yivKJ8onyg/Jy8lzyTfJP8mPyjfLL8w7zQvNk84PzpPO387DzpPOo86LzWPK08eHxJPCX8DHv9u/58CDwGe+e7tDuJu4E7mPu5O8o7w7ur+417cDtVuzv7ILsF+vB65Prh+uF63LrResQ6vDq8usC6wbq9Orh6uXq/OsM6wPq6OrI6qDqaOoj6eXpuema6XfpS+kZ6Ofouuic6JPom+io6K7oreim6JXoeOhZ6EXoQ+hO6FzobuiH6KXovujR6Nzo3OjQ6MLovujB6LjomOhv6FfoT+g+6BLn2ue0567nuufI59Pn3efq6AHoJehX6IzovOjp6RrpTOly6YTphOl16VjpMOkI6O7o5ujx6Q/pPelw6Zfprem06bnpwenP6eXp/eoS6h/qKeo76l7qleri6zvrjuvQ7AnsQuxq7FXr++uS62rrmevv7DLsZ+y57T3tzu4/7ofuvO707zDvau+d78rv9fAl8F/wofDd8QzxMvFW8XTxi/Gk8c7yDvJY8p3y1/MG8yfzPfNc85bz4/Qg9Df0MfQw9Eb0aPSG9KL0x/T/9UT1j/Xb9ij2cva79wP3SveQ99X4GfhY+Jb43fk0+Zf5+PpS+rH7H/uQ+/H8Rvyi/Qz9cf3C/gn+Xv7B/x3/av+1ABEAeADcAUABrQIjApgDCgOCBAAEdgTXBSkFdAW7BgUGXgbABwoHJgcwB10HuggaCFUIegiuCO0JFwkkCTUJVgltCWgJbwm0CiQKdQqFCoYKtAsNC1wLigusC98MGwxLDHMMoQzRDPoNGg1ADXINng20DbcNtA2zDbUNvQ3MDeIN+g4RDikOQQ5YDnEOkQ62DtkO9Q8QDzEPVA9rD3YPfg+PD6UPtQ+9D8wP9RA9EJUQ5hEfEUYRZxGNEbUR2BH7EicSVhJ4EoYSjBKXEqUSoxKREosSrxLvEx0THRL7EtUSrBJvEhYRsxFLEMUQBA8LDfcM3wvNCtYKMgoNCmULCAvGDIYNOQ3NDjAObA6RDqQOog6PDngOXg44DgMNzw2mDX8NTA0TDOUMwwyWDFEMBgvIC44LRArvCq0Kjwp9CloKJgn2Cc8JmglRCRQJAwkICOkIiwgYB9EHvgeqB28HLwcyB38HvweWBwcGdQYzBjkGSQZDBj4GSQZFBgoFpQVHBQ0E4gSyBIcEdQRzBGcERwQkBAkD5QOmA1sDHgL5AuUC3ALfAuUC2AK0Ao0CewJ6AnMCWQI1AhIB8wHWAb4BqQGRAXUBYAFVAUYBKwESARQBLgE+ASgA9wDJALUAwwDzATwBfAGHAVQBBQDKALMAtQDAANIA6QD+AQkBCAD4ANsAtwCcAJIAkwCRAIoAhQCHAIwAjQCGAHkAZwBbAFwAawB9AIcAjwCcALAAxQDWAOcA+QEOAScBSgF1AaABxQHnAggCIAIpAi4CQwJrApYCswLGAtgC6wL5AwMDFQMvA0UDTQNKA0oDVANnA3wDiQOJA3wDcANsA2oDZANaA1gDYANmA2QDWwNUA00DQgMyAyUDHAMUAwwDBwL9AuQCvgKlArUC+QNyBBsE4gWSBeEFpAT9BD8DrwNYAxQCuQI6AakBHgCjADn/5v+5/7n/2P/2//7/+f/z//D/4//G/57/cP87/v7+vv6B/kb+Cv3M/ZL9Xv0w/QX82/y1/JH8bPxE/B37/vvo+9f7xPup+4L7U/sh+u/6wPqW+m36QfoR+eH5t/mT+XL5UPks+QX42vir+H/4WPg3+Bf39ffQ96j3fPdS9yz3Dfbt9sv2pfZ/9lr2NPYM9eL1t/WK9Vv1MPUJ9OX0vPSM9Fn0JfPy88LzmfN281jzO/Ma8vbyz/Kl8n3yW/JA8ibyB/Hk8b/xnfF78VfxL/EH8OHwvPCV8GvwP/AX7/bv3O/H767vku9y71LvMu8R7u/uze6w7pruiO507lruO+4h7hHuBO3y7dftvu2v7artpO2X7YftfO137XXtcu1u7Wztbe107XvtgO2A7YXtle2r7brtwe3J7d7t/O4V7iPuMO5G7mXuiO6q7s7u8+8W7zfvWe9+76Tvyu/18CTwVvCH8Ljw6vEX8TvxW/GD8bfx7/Ig8k3ye/Ks8t7zEvNI83vzovO/8+H0DvQ99Gr0qfUO9Yr17/Yc9iv2V/a890H3vPgj+If48PlS+Z/52/oQ+kH6a/qU+sb6/vsr+z77P/s9+z37OPsm+wX61/qb+lz6LvoY+gP5zflu+QT4svhy+CX3t/c29sD2ZPYm9gT1/fYM9in2TfZv9n/2dPZn9oz3CffI+If5D/lX+Xv5kvml+bv51/n2+gr6EPoQ+hv6Nvpc+oP6mvqT+nn6bvqK+rv6w/pz+dD5D/ho9//34vgH+Ez4gfiR+Jj4v/kK+VD5afla+T75I/j++Mn4kPhe+Cz39PfC96r3qfej94H3SPcT9vX27Pbo9s32gPX69Vf0wvRV9Abzx/OJ8zvyxfIq8aDxYPFk8WrxPvDl8ITwIe+x703vI+8570Pu8e5B7Xvs4+yE7E3sMewu7DfsO+w37DHsLewp7CzsPuxV7FbsOOwP6/br7+vr697r0evK68Xrveuy66jrpOum67HrwevP69br3uvq6/vsDOwd7DTsTuxh7Gnsbux77JHspuy47NDs9O0i7VDte+2l7dDt++4l7kzube6L7q/u3u8W70zvdu+b78Lv8PAf8Ezwd/Cl8NnxEPFK8YfxyvIQ8lHyhvK18unzK/N288H0CfRU9Kj1AfVY9av1+/ZM9p728/dL96H38fg9+I/46flG+Zz56Poq+mT6lPq6+tj69PsT+zf7YfuM+7f74fwK/DL8Vvx6/KD8zv0B/TP9Yf2P/cD98/4l/lb+hv64/uv/H/9T/4n/wwADAEcAiwDNARABVwGhAekCLgJ1AsEDEQNfA6cD7QQzBHYEtATvBSkFYgWVBcAF5gYNBjQGVwZzBogGlwaiBqoGsAa1BroGwAbKBtgG6gb7BwsHHwc5B1YHcweRB7UH2wgACB8IPQhgCIgIrwjQCO4JCgkhCTIJPwlJCVIJVwlaCVoJWQlYCVoJZAlzCYUJmwm2CdMJ9AotCpkLOAvhDGgMww0RDW4NzA4LDiAOGg4KDfgN6A3eDd8N5w31DhEOPA5jDnEObA5mDmoOZQ5HDhQN2g2fDV8NIAzuDM8MtgyWDHEMUAwyDBAL5wu+C5gLcgtMCyYLAArWCqkKggplCk4KNQodCgsKAQn1CeIJ0AnLCdwKBAo8CncKqArOCu0LCwsoC0ILZwugC+sMFQwnDCYMJAwoDDEMPwxWDHgMmQyoDJoMdQxJDCcMFwwTDBkMJgw6DEcMQAwcC+MLpgtzC08LOQsuCykLLgtBC18LeguEC3kLXQswCvQKtAqICngKcgpeCjgKDAnhCbAJewlOCS8JEwjyCNIIxAjLCN0I9gkXCTwJXgmLCdkKSQq3CvsLFwsiCyoLKQswC1oLmQudCx0KKgkmCF8H1wdiBvEGlwZkBk8GPgYeBecFnwVcBTMFJQUfBRQFDwUbBSwFNwVJBX4F1wYqBk4GQwYpBgwF4gWkBWYFPwUwBSEFBAThBMUEsgSbBHwEYARPBEUENAQWA/cD4wPdA9YDxAOrA5kDlwOcA54DnQOjA7QDyAPYA+YD8gPwA84DjgNTAz0DQwM3AvIChwIrAf4B6wHMAZ0BfgGJAbEB1QHrAgoCRAKEAqECiwJeAj4CKwH+AZ8BIgC4AHMAO//v/4z/K/7a/o/+Of3W/W/9Dfyt/Er73ftf+sv6I/lx+Lz4D/d09vH2f/YM9Zf1LPTS9IH0LfPd86DzdvNO8yDy9vLc8sfyqvKI8nfyfPKH8ofyffJy8mjyXPJP8kXyO/Is8hzyGfIq8kzye/Kz8u7zIvNL82jzcfNb8zDzDvMK8wbyyPI88Yjw3vBS7+vvxu/48FDwXO/Q7uDuH+3v7jjukO6k7mvuBu2U7R/sqOw168zrdes36xrrFusW6v/qx+qF6mDqa+qT6q/qr+ql6qzqw+rV6tLqwOqm6n7qQen36brpl+mB6V/pKejr6LPoieht6GDoYOhm6Gzoc+h26HPoYuhK6DXoLOgv6DnoSehg6Hzomuiw6LbopOh/6FzoTuhQ6EnoK+gE5+vn3+fJ55zncOdd52fneeeA54Xnkeeo58nn8ugo6GLomOjF6O/pFuk06UXpS+lC6Sbo++jP6LLoq+i46NrpDulI6Xnpl+mm6a7psumx6bPpvunS6enp/uoR6jDqaurD6yzrhOu96+3sK+xf7Ezr3OtU6xzrV+vK7CjsbuzP7WDt+u5q7qnu2+8W71XviO+r78rv8vAs8HbwwPD58R3xPvFn8Y/xp/G48d7yIPJm8pbys/LR8vfzHfNH84Tz1fQb9DX0J/Qb9C30UvRy9In0qfTh9TD1kPX89mr2y/cX91X3kvfS+BH4Svh/+Lr5Avla+bv6HPp7+t37Rvut/Az8avzW/Un9q/3y/jP+h/7p/z//hf/UAD0AsAEXAXgB5gJlAuEDUgPBBDcEpwUCBUcFggW9BgMGWga2BvQHAwcJBzkHlAfrCCMIXwjECTQJbQlpCWAJeQmXCZ4JsQoCCn8K1grjCt4LCwtjC6sLzAvsDCcMaQyWDLMM2Q0JDS8NSQ1oDZUNuw3IDcINvw3IDdQN3w3rDf0OEQ4lDjwOWA5zDowOpQ7DDuQPAA8cDz0PZQ+ED5IPlw+jD7wP1g/nD/UQFxBXEKsQ+hEzEVkRehGhEckR7hISEjoSZRKEEpMSmhKlErUSuxKxEqkSuRLgEwUTDxMBEugSzBKnEnMSNBHmEXcQ2hAWDzcOPA0gC/sLCgqICoMK3wt6DDwNBw2zDiUOYQ6CDpkOpg6gDooOag5DDhgN6w24DXsNOg0KDPMM4AyzDGsMLQwRDAALzQtoCvsKuQqsCqwKkQpPCfgJpAliCUEJQglNCTII1ghZCAAH8AgAB+wHqQd6B5UH1QfaB38HAwa9BrAGoQZxBkUGPwZDBhoFxgWDBXMFcgVMBQIEwQShBI8EcwRVBD0EHQPkA6ADcQNfA1IDOQMhAxgDEQL5AtYCwQLBAsACqQKAAlkCOwIjAgsB8wHcAcUBsgGhAY0BcAFUAUYBRAE7ASABAwD9ARcBSQGBAa8BwQGrAX8BWwFVAV4BYwFjAWsBfgGKAYQBcQFYATcBCgDcAL4AtgC1AK8ApACdAJ4AowCjAJYAggBzAHQAggCOAJMAlgCjALkA0ADlAPoBDwEkAT0BYQGMAbMB0QHvAhMCMQI9AkECUwJ6AqACswK7AssC5QL8AwoDGgM2A1YDaANmA10DWwNrA4cDnwOmA5wDkgORA5QDkAOHA4QDiQOLA4UDeQNuA2IDUwNFAz8DOQMsAxkDCwMBAu8C0AK7AtIDJgOuBFQE8gVYBVwE/gR6BCAEGwRYBJAEeAP0AyACPAF3ANkAVP/m/57/hP+I/5P/nP+n/7T/uP+q/43/Z/85/wT+yf6O/lb+Hv3k/az9ef1L/R/89fzN/Kf8gvxe/D38IfwK+/X72/u4+4v7Wvsp+vz60vqq+oD6U/oi+fL5x/mj+YH5Xfk3+Q744/i2+Iz4Z/hG+Cf4B/fk97v3kPdl9z/3Hvb+9tz2u/aZ9nP2SfYc9e/1w/WV9WT1NfUL9Ob0vvSQ9Fv0JvP088rzp/OH82fzR/Mm8wLy2fKs8oLyXfI/8iLyBPHj8cDxoPGA8WDxPfEV8OvwwPCT8GbwOvAS7/Hv1u+976Lvhe9m70fvKe8L7uvuy+6r7pDud+5h7kruNO4i7hXuCe307dftuu2m7Z3tmO2R7YXte+117XLtcO1s7Wrta+1w7Xjtfe1/7YXtle2r7b7tx+3O7d7t9u4Q7ibuOe5Q7mzui+6s7s/u8+8U7zXvW++C76fvzO/28CnwYPCR8L3w6vEb8UnxdPGd8czx/vIv8l/ykPLC8vLzIfNR84HzqPPH8+n0E/Q+9GP0k/Tr9Wv15fYq9j32Wfau9zD3sPgV+G740/k9+Zf51/oK+j36b/qf+tD7B/s4+1f7YPtd+1P7QPsm+w769frR+pr6ZPpG+jf6Efm6+Uv47fiv+HT4Gvej9yn2xvaD9mH2XfZq9n72lfav9sL2wfa+9vL3jPh2+Vv55/oR+gb59/n0+fz6Dfon+j/6R/pD+kb6YfqS+sL62frM+q/6rPrZ+xf7G/qx+ej5C/hi+Ar39vgN+C34Pfg2+C/4TPiQ+Nz5B/kH+O34yPia+Gf4NPgC98T3evdB9zn3Y/eW96r3mPdx90X3F/bm9qv2VvXZ9Tj0jvPy83DzEPLU8qfyYfHx8XvxNfEh8RPw4/CX8EHv2+9q7yXvS+/F8Bjv2O8L7hTtSOy47FfsIuwX7B7sH+wc7CPsLuwu7CbsMexR7GbsVOwp7ArsBOwB6/Dr1evC673rwevG68zr0uvZ6+Dr6evx6/fsAOwM7BbsHOwj7DnsWex17IPsiuyV7KbsuOzK7OXtDe097W3tne3N7f7uK+5V7nrumu607s7u8O8c70jvb++R77Xv4vAW8Enwd/Cj8NTxDfFK8YnxyvIP8lTykPLA8u/zJ/Nn86jz5vQq9Hj0zvUm9Xr1yvYa9mr2vfcU92z3wvgW+Gv4wvkY+Wj5sPnw+ib6UPpy+pL6tvrd+wP7KftR+3z7qfvX/AH8J/xL/HH8nfzO/P39Kv1Y/Yj9uv3s/h7+Uf6F/rn+7f8j/1v/l//WABcAWQCaAN4BJgFyAbwCBAJNApsC7gNAA44D2QQgBGUEpQTkBSIFXwWXBcgF8wYdBkYGbAaKBqAGrga2BroGvAa9BsAGxgbTBucG/QcQByIHNwdSB3AHjgesB8wH7wgPCCsIRghlCIcIpwjFCOMJAQkcCS8JPAlGCUwJTQlLCUgJRwlHCUkJTwlZCWkJfQmVCbIJ2QohCqALTQv3DG0MsQzyDVINvw4LDiAOEg4ADfgN+Q38Df0N+A34DggOKQ5FDkkOPQ48DkwOUA4wDfINqw1mDSIM4Qy0DJ0Mjgx0DFEMMAwTC/QLzgunC4QLZQtFCyULAQrXCq0KjAp5CmoKVwpHCkAKPAowChcJ/wn5CgoKLApcCpUKzQr4CxULKgtAC1wLggu0C+gMCwwfDCUMJgwqDDQMRAxdDHwMlwydDIUMWAwrDAsL+gvxC+4L8wv+C/8L5gu4C4ULWAswCwcK4ArHCr8KxwrdCwILKgtIC1ELRAshCuwKsQqCCmMKSAokCfwJ2wm8CZAJVwkmCQoI9QjUCK0IkwiTCKUIwwjlCQQJHglHCaEKKgq1Cw8LMws/C0YLTAtiC58L5wvhC0AKIAjyCBAHfgcMBqQGUQYjBhIGCQX0BcUFfgU4BRAFCAUJBQIFAAUNBSEFLgVCBXkF1QYuBlgGTwYxBg8F4wWmBWYFOgUjBRIE+QTZBL0EpASHBGYESgQ8BDQEJAQGA+cD1gPVA9QDxgOwA54DlwOVA5UDlgOaA5sDlwOVA58DswO5A5sDYAMtAyMDNwM3AvsCkAIrAfEB1QG0AYcBaQF0AZsBvwHWAfYCNAJ9AqQCkgJhAjkCIgH3AZYBEACWAEUADv/P/3j/F/65/lz9+P2Q/Sz8y/xp/AH7kPsR+n350/kc+Gf3wPcz9sD2WPXs9Xz1FPS99G30GPPJ85Dza/NE8xHy4vLF8rTymfJ38mLyZPJs8mryXPJP8kPyM/Ih8hTyDfIF8gDyCvIo8lHyefKh8tHzCfM981rzTfMY8tbyrvKo8pnyTPG88RTwffAE76/vnu/h8DjwMO+M7pft3u2x7eTuFO4L7c7td+0J7IXr9+t66x7q5OrE6rnqveq96qLqY+oa6e/p++oq6lTqZups6nvqk+qh6prqhepp6kLqCenJ6ZTpculU6Sno8ei56IvoZOhC6CjoHOgd6CLoJugr6C7oK+gg6BDoAef65/zoBugZ6C/oRehQ6EboIufv58jnv+fL58znsueJ52znX+dP5zPnHecf5zHnPec75zznT+dz55vnxef36DLobeig6Mro6+j/6QnpCukB6OjowOiW6Hjobuh96Kbo6Oky6W7pkOme6aTppemf6ZfpmOmo6cTp4On26hLqSeqp6xrrc+uh68TsBOxJ7Ebr0+s66vXrOOu/7DDsfezg7XbuFu6J7snu++8273Hvmu+y78vv9PA08IXw1fEO8THxU/GF8bbx0PHZ8fPyLvJv8pbyp/LD8vPzJPNL83rzvvQA9B70FvQS9C30WPR49Iv0qPTh9TP1nPYY9pv3BvdL93f3qPfn+Cj4Y/if+Of5O/mX+ff6XPrC+yT7fvvQ/CP8hPz6/XX91/4b/lr+rf8K/1n/nf/yAGcA5gFTAbcCKgKvAy4DmgP/BGoE0QUjBWIFlwXOBg8GYQa1BugG7QbrBxsHegfPCAUIUQjfCYAJ1gnICaAJnQm1CcEJ1wooCqgLCQslCywLXguxC/AMCgwoDGEMnAy9DNMM/g05DWcNgA2YDbsN1g3bDdQN1g3kDfAN9w4EDhoOMQ5EDlkOdQ6TDqsOvw7XDvUPEQ8oD0IPZQ+ID58Pqw+5D9MP8BAFEBYQNhBxEL8RChFEEW0RkBG0EdkR/RIhEkgSbxKOEqESqxK2EsUS0hLSEscSvxLGEt4S+hMKEwcS8RLPEqcSfRJHEfcRhRD0EEgPcg5pDUAMKwtkCwILAgtZC/kMww2CDgoOVQ58DpYOpQ6dDn0OUw4vDhEN7Q22DW4NLg0ODQcM9wzEDH0MUAxYDHUMXgvzC2ELAgsGC0ALTQr3ClwJzQl8CWQJaAlwCWUJLwjPCHoIagiQCJgISAfUB6MH0AgIB/MHnwdTBycG8QaWBkIGJwYuBhoF4QXDBeMGDQX1BZQFKgTrBMkEpwSABGMERwQgA/cD6APwA+cDtgN3A1IDSQM9AyIDDQMNAw4C9QLFApgCfgJrAlMCNgIaAgIB7gHdAcoBswGWAXkBXwFGATEBLgFNAYgByQHzAfQB0gGjAYgBmQHGAesB8QHlAeAB5AHdAcEBowGQAX4BWQEjAPUA4ADdANkAywC8ALUAtgC3AK0AmwCMAIgAjQCSAJcAowC8ANcA6QD4AQsBJQE+AVcBeAGiAcgB4wH7Ah0CQAJUAl0CbQKKAqMCqQKqAr0C4wMGAxgDJAM6A1oDdAN8A3YDbwN1A4cDmwOkA6QDpwOyA7sDuQOvA6cDpQOgA5QDhwN9A3EDYgNWA1IDTAM6AyIDFAMSAwsC9gLkAvUDMgONA+sEMQRIBCMD0QODA3UDzQR8BTsFpwV9BNAD8AMpAoQB2QEQAEj/s/9m/1D/Vv9p/3//jf+K/3b/Wf81/wn+1P6c/mX+Mf3+/cz9mv1p/Tv9D/zl/L78mvx6/Fz8Pvwh/AX75Pu8+4z7WPsq+wL63vq4+pD6ZPo2+gj53fm1+Y/5aflC+Rn47/jG+J/4e/ha+Dr4Gvf398/3o/d491H3LvcM9uz20Paz9o/2YfYv9gD10vWj9XH1QPUU9O70x/Sc9Gj0MvQA89jztvOW83PzUPMu8wny4PK08oryZfJC8iLyAfHg8b/xn/GB8WTxQ/Eb8O3wvfCO8GHwN/AR7+/v0u+175nvfO9e70HvJO8I7uvuze6v7pHudO5a7kXuNO4m7hnuCe3z7dftuu2i7ZPtjO2G7X/td+1v7WntZe1j7WXtae1v7XXtee177YHtju2i7bftxe3Q7dzt7+4H7iLuQO5c7nfuku6w7tTu+O8Y7zjvW++C76jvze/38CvwY/CU8L7w6PEZ8U7xgPGv8d3yDvI98mzynPLM8vrzJvNT84HzrPPR8/b0IfRG9Fn0aPSb9Qr1l/YE9jr2Yfa09zf3uvgX+GD4ufko+Y751voJ+j/6e/qx+uH7EftA+2X7dvt4+3D7XftH+zr7N/sn+vb6tPqD+nH6WPoS+af5RPkG+NX4ivgZ95z3L/bj9r32ufbI9tf24/b19wv3FPcX90f33fjO+b36Tfpu+lj6RvpE+kX6RPpL+ln6ZPpq+nj6nvrX+wr7HPsI+uv67vsg+1j7TPrL+e/5DPhs+CD4CfgH+Aj4Bff89/b4Bvgy+Gn4i/iK+G34QfgO99r3rPd990D29/bG9tL3Gvdz97L3zffL96j3Xfb29o/2OfXj9XX05fQ7843y+/Kc8mryPPHq8X/xHvDb8KjwevBT8CTvxe857tbu+e+Q8BLwAu9j7pLt0+0s7J3sQewj7CLsFewC7AfsIewt7CLsHuw47FbsVOw17BvsFOwO6/fr1uvB68DryuvW6+Pr7uv47ADsCOwP7BXsHuwp7DDsMOww7D/sXex87I/sm+yp7Lzs0ezp7QvtNu1n7ZjtzO4D7jfuYu6C7p7uuO7O7uLu+e8W7znvXu+D76rv1vAK8D/wcPCc8MzxBvFH8YfxxfII8k/yk/LK8vjzKvNk86Hz3PQZ9F70rPUA9VP1pPXz9kH2kfbk9zr3kffp+EL4mfjp+TL5dvm3+ez6FPo0+lf6f/qq+tD69PsZ+0L7b/ud+8r79Pwa/EP8b/yf/M38+v0n/Vb9hP2z/eT+Gf5Q/oT+uf7w/yr/Z/+l/+YAKQBtALMA/AFHAZIB3AInAncCywMfA3ADvQQIBE8ElQTYBRsFXAWYBc4F/wYsBlcGfQadBrUGwwbIBskGyAbGBscGzQbbBvAHCAceBzMHTAdrB40HrAfJB+UIAggcCDYIUwhzCJMIrgjGCOEI/QkYCSwJOwlHCU4JTglHCUAJPQk+CUAJRglRCWAJdAmMCagJ0gohCqkLWQv8DGEMkgzGDSgNoA34DhMOBw36Df8OEQ4fDiEOFA4IDgwOIQ4vDiUOEw4TDicOLQ4HDbwNbA0mDOgMsgyMDHgMZQxJDCYMCQvwC9ILrQuHC2gLTgs1CxoK+QrTCq4KlwqNCocKfgp2CngKewpuClAKNgouCjkKUgp7CrcK+QspCzwLQgtQC2wLkwu+C90MAAwcDCoMLQwuDDUMRgxeDHcMiQyFDGgMPQwTC/QL3AvFC7MLsAu3C7MLkwtfCzALEArxCsMKjwppClwKZgqACqgK2AsDCxoLGQsACtYKpQp2CkwKHgnqCb4JpwmVCW8JMgj8COMI1wi/CJYIcghmCHMIkAizCNAI5QkLCWQJ8AqDCu0LKAtOC2oLdwuFC64L3Qu/Cw0J5QiyB8oHMgbBBmAGFwXrBdQFxQWzBZMFXQUkBQIE+wT8BPUE9AUFBSAFNQVLBX0F0AYgBkUGOAYXBfYF0gWfBWQFMgUUBQIE8ATWBLcElwR4BFsEQQQsBBcD/QPgA8kDwAPCA8IDuwOwA6kDowOYA40DhwOFA38DcwNsA3QDhgOKA28DPwMZAxUDKAMnAvECjQIpAekByQGpAXwBWQFaAXwBoAG3AdMCBwJLAnoCegJZAjUCFwHmAYkBCwCPADH/6/+l/1T+/P6g/jv9zv1h/Pj8jvwe+6j7Mvq1+ib5gfjQ+CT3i/cK9p72PPXY9W/1D/S69Gf0D/O/84jzZvNB8wvy0/Kw8p7yivJv8lnyU/JR8kjyOPIo8hryB/H38fHx9fH68f/yEfI08lrydvKP8rjy+vM781bzNfLo8p3ye/J28lbx7fFJ8KLwIO/D74Tvde+c77zvfu7K7fbtdu1u7Z3ts+2U7VPs++yC6+vrUurd6pzqgep66n3qgup96lzqGunO6Z7pnem86d/p9+oQ6jTqWOpm6lfqM+oK6dzpqel26UvpJOj56MXoluh06FjoNOgF59znyefJ58vnxee757fnuue857fnrOei55/npue158bn0OfK57DnhudY5zvnPOdN51PnPOcX5v7m+Ob15u7m6ub25wjnEOcL5w7nKOdR53vnoOfL6AHoPeh16KPoxejY6Nzo1OjB6KPoe+hT6DjoMehF6H3o1Oky6XXpkemU6ZTpmemc6ZfplOmg6b3p4en+6hrqTOqn6xjrbuuR66br4ewz7Ebr4etE6vTrNevH7EPskezo7XHuDe6F7tHvEO9T74rvp++2783v+vA+8JHw4vEe8UTxaPGe8dbx8/H28gXyOPJ28p7ysfLR8wfzPPNc83jzqfPj9Aj0FPQn9FL0g/Si9Ln04fUk9XX11PZI9sb3Kvdd93j3o/fo+DX4ffjL+Sf5i/np+kb6rPsZ+3v7yPwH/Ez8qf0d/ZT99v49/n/+0P8p/3f/vgAZAJQBGgGQAfsCcQL0A28D2AQ7BKEE/wVKBYcFwQX6BjYGfgbLBvoG+gbzBxwHdQfAB+oINgjjCb0KQwo/CfsJ1gnfCe4KBQpNCsULLgtdC3ILoQvmDBkMNAxWDI0MvwzaDPENJA1mDZYNrA29DdYN6w3uDe0N9g4DDgcOCg4cDj0OWw5qDnYOjg6sDsMO0g7nDwQPIA8zD0UPYA+BD50PsQ/ED90P+BAOECYQThCLENYRHRFVEYARoxHDEeQSCRIvElUSeRKZErISwhLKEtMS3RLiEtoSxxK8EsoS7xMXEykTHBL5EtESrRKHElISBRGfERsQbA+GDncNZAx2C8QLXAtOC6wMZQ1BDfsObQ6dDqYOmg5+DlgONg4fDgwN5w2nDWANMA0gDRwNBAzPDJYMfwyXDLwMrAxCC6cLQQtYC74L7AuFCrUJ/AmoCZ0JnwmZCZgJjAlXCQ0I7QkICREIswgPB6EHsAf8CBEH1weKB1QHGQa6BlsGMwY2BioGAQXyBiMGXwZSBe4FeQUuBQQE2ASkBH8EagRVBEQESwRjBGAEIwPKA44DfAN1A2IDTwNMA0kDLQL6As0CswKiAokCaQJNAjMCGgICAe8B3AHAAZ8BgwFyAWwBdAGTAccB/gIWAf8BxAGPAYgBtgH5AiYCLAIfAhcCDgHwAb8BmgGTAZsBjAFgASwBCwD/APcA6wDcANMA0wDTAMsAvACsAKEAmQCVAJ4AvgDrAQsBEwESASABPgFcAXEBiwGzAd0B+wIPAicCRAJaAmoCfwKaAq8CtAK3As4C9QMXAyYDLQM9A1kDcwOCA4QDgwOGA5ADnAOmA64DugPIA88DxgO1A6gDowOdA5UDjwOMA4cDewNyA28DaQNYAz8DMAMsAyIDCgLxAu4DAgMbAysDLAMhAwgC4QK9Ar4DEwPQBM8FrAYIBdYFYwT9BKIEDAMQAdoAwQAC/5v/a/9c/1//Zv9m/1r/Rf8r/wn+3f6o/nP+Qv4V/ej9uP2G/Vf9Kvz+/NX8sPyR/HP8Ufwu/Az76vvB+5H7Xvsx+w767frJ+qL6ePpO+iP5+PnL+aD5dflM+ST4/vja+Lj4l/h1+FP4MPgK99/3sveG9173OPcV9vf23/bH9qT2dvZE9hT15vW29YX1VPUn9P701vSs9Hv0RvQS8+bzwPOb83TzUPMu8wvy4/K58pLybvJJ8iTyAfHf8b7xnvGB8WbxR/Ef8O7wu/CL8GDwOfAV7/Pv0++175nvfe9g70PvJ+8K7u3u0e617pnue+5e7kbuNe4n7hjuBe3v7djtwO2o7ZXtiO2A7Xntce1o7WHtXO1c7WHtae1w7XTtde127Xrthe2X7avtve3N7drt5+377hfuOu5d7nvulu607tnu/+8h7z7vXu+D76rv0e/68CrwX/CS8L7w6fEY8UzxgPGx8eLyFPJE8nHyn/LQ8wHzL/Na84bzsvPc9Ab0NPRX9Fr0QfQ89H/1CfWd9gj2WfbD91P33fg1+G34tfke+Yr52voU+lD6k/rP+v77KftW+3z7lPuf+6T7ofuY+5f7ovuj+3j7Kfrh+r76qvp3+hz5wPmB+U/5BfiV+Bb3ovdK9xn3EPcg9zH3OvdG91r3aPdq9434DPjo+dH6Z/qT+ov6ifqV+pf6h/p3+nX6f/qS+rH64/se+0j7Ufs/+y/7PPtm+4L7Uvq4+dv5C/iH+FD4Pvgx+CX4HfgV+Ar4A/gL+B74KPgc9/v3zPeV92H3Ovcb9vT2wvaf9q727vc+94P3vffu9/b3tPcx9qj2SvYT9dr1fvT49Fnzw/NV8xDyz/Jn8c7xJPCO8CXv/PAO8B3v1e8j7nLuR+6170bvge9U7vTueO3V7SbssOyQ7IvsYewc6/bsA+wZ7BfsDewX7C7sNOwj7BDsB+v76+Pry+vE68zr1uvc6+Pr7ev57AfsFuwj7CnsLuw07DzsQexF7FLsa+yG7Jnsp+y47NHs7u0Q7TrtaO2Y7cnt/+457mzuj+6h7qzuue7J7t3u8u8L7yjvS+9z75zvx+/28CrwXfCM8Lzw9fE28XbxsvHv8jPyd/Ky8uXzGfNW85nz2fQU9FL0mPTm9Tj1iPXU9iD2b/bA9xL3Zve++Br4dPjD+Qj5SfmJ+b/56PoJ+iz6VPp9+qL6xfrp+xD7Ofti+437tvvg/Av8Ovxs/J38zPz7/Sn9VP2A/a/95P4a/lD+h/7A/vz/Of92/7j//wBIAJAA1gEdAWYBsgIBAlMCqAL+A1EDoQPuBDoEhQTQBRgFWgWYBdIGCAY5BmUGiwasBsUG1AbZBtoG2QbXBtYG2gbmBvkHEAcnB0AHXgeAB6MHwgfeB/YIDggoCEQIZAiHCKgIwgjYCO4JBwkdCS8JPQlJCVMJVglQCUgJQQk9CT4JRglTCWQJegmWCboJ7QpCCskLbgv+DFAMcQycDPkNcw3RDfYN9g34DggOHw4qDiIODA34DfcOBg4NDf8N6A3lDfQN8w3EDXMNIgzmDLkMkgxxDFUMNgwTC/ML3AvEC6ILeQtUCzoLJQsSCv4K5wrLCq4KnQqdCqAKoAqfCqYKqgqcCoAKaApgCmUKcwqXCtkLJAtUC1wLUwtYC3MLmAu7C9IL+QwdDDMMOAw4DD0MTQxkDHkMgQx3DFkMMAwIC+ILuQuNC2oLXgtjC2ELQQsOCuEKxQqnCnYKOgoNCgAKDgosClYKhwq1CtMK3QrSCrcKkQpqCj4KBgnFCZIJewluCUkJCgjPCLUIrwidCHYITwg+CEYIYAiCCJ8ItQjYCScJowoqCpoK8wtDC4ELlguOC48LlQteCqsJkghvB40G8QZ9BiEF3wWzBZAFdgVmBVYFOwUZBQME/QT5BO8E7gUEBSoFSQVlBZEF0wYQBiUGEAXrBc4FtwWWBWQFLgUGBPEE5QTQBK8EiwRtBFYEPQQdA/cD1AO6A64DqwOqA6cDqQO3A8gDzAO3A5cDfANsA18DUwNPA1kDZQNhA0gDJgMQAxADGwMUAuECgwIfAdoBtgGZAW8BRgE7AVMBdwGRAaQBwQHvAh0COwJEAjwCIQHlAYQBDQCZADL/1f95/yL+0v6B/iL9tP1A/M78VvvT+076zvpS+cn5LviM9/X3bvb29oz2KvXK9Wr1D/S89Gn0EvPC84rzaPNF8w7y0fKj8oryd/Jh8k7yRfI98jDyH/IN8fjx4fHS8djx7PH98gjyGvI68ljyavJ88qny9vM/81TzIvLF8nfyWPJP8hvxlvDf8Dvvzu+K71bvMu8f7vXuhu3b7UftFO067Wrta+067O3siewE62vq4+qK6mHqVOpS6lbqWOpN6iTp4OmV6V3pROlA6UTpUul56brp+uoX6gTpzumN6U/pGOjr6MXonehu6ELoKOgh6BTn6+ev537nbOdx53HnXedC5zPnNedA50fnROc85zbnOedF51HnUedB5yLm/ubf5s/m0+bg5uTm0+a45qrmrua35rvmvebJ5t3m6ubt5vXnDecx51fneuej59boDehB6HDoluiv6LPooeh96E/oI+gD5/Tn++gg6Gro0+k86X7pjemD6YHpkOmj6avpq+m16dTqAOom6kHqaeq36x/rcOuN65Xrxuwe7Ebr9utb6vzrLuvE7FDsp+zz7WLt6O5d7rvvE+9n75/vsO+x78bv+PBC8Jfw6vEp8VDxcfGh8djx/PIH8hjySPKF8q/yxPLk8xvzU/Ny84bzqfPZ9AP0JPRO9Ib0t/TY9P/1RPWc9ez2NfaO9vf3SPdr93z3p/f1+E74o/kE+Xb55/pE+pn6/ftt+9D8GPxP/I784v1I/bH+D/5c/qP+9f9Q/6b/+QBZANQBWAHTAkICtAMrA50ECAR0BNwFMwV3BbYF+wY8BnQGtQcBBzcHOgcoBz4HgAe3B9AIGQjjCfUKsgq+Cl4KEgoJCh4KPAp+CusLVguTC64L0gwGDDQMVwyBDLgM5Q0ADRwNTw2JDbANwA3ODeUN+A3/DgYOFA4eDh8OIw4+DmUOgQ6JDo0OoA69DtMO4Q70DxEPLg9CD1IPaA+ED58Ptg/OD+cP/RATEDIQZRCpEPERMRFmEZERsxHPEe4SFhJDEmsSixKnEsMS2RLgEt4S3RLfEt0S0BLCEsgS6xMbEzwTPRMjEv8S3BK7EpMSWxIOEagRHRBkD4IOjQ2aDLQL8At4C4IMIA0eDhYOsw7eDrsOgQ5TDj8OQw5ODkEOBg2oDVINKw0oDSIM/wzODK4Mqgy3DLkMkgwsC6ILRgthC88MBgueCscKGAnqCgoKGAn+CecJ3Am0CWQJIwkZCRMIvAgaB5gHhAexB7sHiAdUB0kHQQcJBrEGcwZaBj8GEwYABiwGaQZoBhYFrQVlBToFCQTSBK8EpASaBIkEhwSYBJkEZwQSA80DsgOsA50DiAN5A2wDTwMkAv0C4wLMArMCnAKJAnECTwItAhQB/QHcAbkBqQGyAcABwQG9AcsB6wIAAe8BvwGYAZwBzQIHAioCMAItAiwCHQHtAaoBfAF6AZEBmgGDAVgBMgEYAQgA/QD3APcA+QD4APIA5wDZAMkAtgCqALcA5wEkAUgBQwExATgBWgF/AZQBpgHJAfYCGAIqAjgCSgJfAnUCkgKyAs0C2wLoAv8DGgMsAzIDOwNPA2cDeAOBA4QDiAOOA5cDpAOxA74DyQPRA80DugOjA5cDlQOWA5QDkwOVA5QDjAOEA4IDfwNwA1oDSQM8AykDCgLrAtkCzgK/AqUCjQKDAoUChAJzAl8CdwLuA8YEtQVeBaYFxQX3BiQF7wUeA9cCfAFXAHr/3P93/0j/Pf8+/zn/Lf8b/wP+4f6z/oD+UP4m/f390P2f/XD9RP0Y/Oz8xfyk/IX8Yfw7/Bb79fvP+6H7cftH+yX7Bfri+rr6kvpo+j76Efni+bL5hPlZ+TH5Dfjs+M74sPiO+Gr4Rfgc9+73v/eR92j3Qvcf9wL27PbU9rL2hvZW9ij1+/XM9Z31bvVA9RL05vS79I70XPQo8/jzyvOc83HzTPMs8wry4/K68pbyc/JO8ifyA/Hi8cHxn/GC8WjxS/El8PPwv/CP8GbwQPAd7/rv2u++76Tvie9s703vLe8N7uzuzu6z7pruf+5g7kbuMu4j7hLt/e3o7dbtxO2v7ZvtjO2B7Xjtbu1m7WHtXu1e7WLtau1y7XPtce1x7Xftgu2R7aPtt+3K7djt5O307g3uL+5U7nbule627tvvA+8p70nvZ++J77Dv2PAB8C3wYPCV8Mbw8/Eh8VHxgvGx8eLyFvJI8nbypPLY8w/zQPNp847ztvPh9A/0QfRp9Gr0N/P78//0avUT9bj2RPbW9334FPhx+J34zvkj+Yf53Poe+mP6qvrm+xP7Pftq+5P7r/vF+9z77/v4/AX8H/ww/BT7xPtp+y77DPrb+oz6Ovn++cr5fPkL+Iv4FPey93L3Xvdt94X3lfei97b3xffH99v4Pvj8+db6cPqs+rP6vPrQ+tn6y/q3+q76tPrL+vL7KPtZ+3L7c/ts+3X7j/un+5X7NvqH+bf5C/iu+JT4lPiQ+If4ffhr+E34Lvgc+Bn4FPgD9+T3uveH91X3M/ck9xT28/bP9sL20fbs9w/3TPem9+r32vdw9uv2j/Zl9kv2IPXc9Yf1LPTb9I/0K/OJ8qPxnfCs8AHvvu/b8AbvyO767gHtfu2r7jjute767wjuzu4+7ZPtNe0+7VDtCOx47APr4+v17ADr++v97AfsCev76+nr2OvA66XrmOuh67PrwOvH69Lr4Ovu6/7sEuwj7CrsKews7DbsROxS7GLseuyS7KXstezK7OjtDO017WPtk+3C7fPuKu5j7pLuq+6x7qvuqe6y7sju5+8E7yDvQO9m75DvuO/i8BPwSPB68Krw3/Ed8Vzxl/HP8grySPKC8rfy8fM284LzyvQJ9Eb0ifTV9ST1cfW59gL2UPah9vD3P/eV9/T4Ufii+OT5Ifld+ZP5vPnf+gT6LPpT+nb6mvrB+un7Dfsw+1X7e/uj+8/8APw0/Gf8mPzH/Pb9JP1Q/YD9s/3o/h7+WP6V/tP/Dv9K/4z/1wAkAGwArwDxATgBhQHWAiwChALdAzQDhgPVBCMEdATFBREFVQWUBdAGCwZABm4GlQa3BtAG4AboBuwG7QbtBusG7Qb2BwcHHAc1B1IHcweWB7cH1QfvCAcIIAg8CFsIfQifCL4I1wjtCQQJHAkyCUEJTQlXCWAJZQllCV4JVQlNCUwJUwlgCXAJhwmqCdwKIAp+Cv4LjwwGDEUMWQx6DMsNOA2RDb4N0A3jDfwODA4GDesNyQ20DbYNyw3aDdENvQ22DbwNsA18DSwM4gyyDJMMdgxTDCoL/gvWC7kLpAuIC18LMwsRCv0K6wrcCtIKygq8CqgKnAqgCqsKswq3Cr0KvwqzCp4KjgqKCosKlAq2CvwLSwt6C3wLawtpC30LmQuzC9ML/gwlDD0MRgxIDE4MXQxyDIMMhwx2DFYMLwwEC9ILmAtZCycLEAsQCw8K9QrGCpgKdgpUCiEJ5Qm4Ca0JwwnrChsKSgpzCpEKowqmCpkKfgpeCjgKAwm+CYEJXglJCSQI5QipCIkIfghsCEoIKAgZCB8INAhRCG4IigiwCPQJVQm+CiMKjwsDC2ALfgtnC0wLNwr0CkcJPwgtB1QGuAZCBegFqAV4BU0FKwUaBRcFEgUHBQAE/gT3BOoE6QUFBTIFWwV6BZ8F0AX4Bf8F4wW/BagFnQWMBWYFLwT+BOME1wTGBKYEfwRhBEsEMQQMA+ADuwOnA6ADmwORA4oDlwO/A+0D/APfA6cDcwNSAz0DMQMvAzcDOwMuAxcDAgL6AwEDCgMBAtACcwIJAbkBkAF6AVkBMgEcASYBRAFfAW4BdQGEAaMB1gISAjwCNwH1AYYBCgCYADH/x/9b/vn+q/5l/g/9of0l/Kb8IfuT+wL6e/n8+Xj46fha99f3Yfby9ob2IPXA9WL1CPS19Gb0FvPL85Lza/NG8xTy2fKl8oHyZ/JR8kLyOvIx8iTyFfIB8efxyvG78cfx5fH+8g3yHvI58lHyYPJ28qny9vM18zvy+/Kb8k3yKvIS8cnxNPB77+HvhO9J7wruwO5y7hftoO0i7Nbs3O0Q7TDtG+zf7JHsLuux6y7qxeqD6lzqQuoz6jHqNOom6fnps+ln6Sfo9ejJ6KPomejD6R3pfemu6Z3pWukF6LXodehE6B3n9ufR57rnu+fF57vni+dL5x/nF+cg5xvm/+bd5svmzubd5unm6+bk5trm1ebZ5t/m2+bI5q3mlOaC5nfmduZ75nzmcuZi5l3maOZ55oDmg+aP5qnmwubQ5tjm5eb/5yPnUOeE57vn6+gS6DXoV+hy6HboW+gm5+vnv+eu57fn1egM6GPo0uk46XDpdOll6Wfpgumm6b3pyOnZ6fzqLepW6m7qiOrD6x3rauuE64TrqewB7D7sCet36wXrHeus7Ezsu+0I7V/tx+4w7pnvCe9v76vvsu+p77vv9fBH8J/w8vEx8VfxbvGQ8cHx7/IQ8jHyY/Kb8sDy0/Lx8ynzafOU863zyPPs9BP0PfRy9Kz02fT/9T31o/YQ9lv2i/bI9xz3YveB95L3wvgU+G/4y/k6+b76OPqT+uH7QPuu/A/8VvyR/NL9IP12/dH+Lf6A/s3/IP+B/+gASwCxASYBowIbAoUC6wNSA7wELQSkBRAFYQWeBeAGMQZ7BrcG9wdLB44HmAd6B3QHmQe7B8wIGwj9CjoLHws1CroKRAomCkQKcwq5Cx8LhQvFC+EL/QwrDF0Migy3DOUNCw0mDUUNcQ2cDbcNxw3bDfMOBg4QDhwOLA43DjwOSA5nDosOnQ6eDqMOuQ7WDuoO9w8JDyQPPw9VD2kPfw+VD6sPww/gD/oQDhAiEEcQhRDPERMRSxF8EacRyBHhEfwSJhJaEoUSoBKzEswS5hLyEusS3xLcEt4S2xLREtES6xMZE0QTVxNMEywTChLoEsESixJHEfIRhxD6EEsPgQ6jDbIMuQvvC6sMHw0jDj0O7g8LDsYOdQ5QDmQOnQ7UDtQOfw3uDWsNMA0uDSkNAgzSDL0MvAyuDIMMQAvlC3cLJgssC3sLpwtQCqAKJQo3CpMKwQqaClIKEgnHCV0I+gjNCLwIhAgTB6YHcwdiB0EHGAchB2gHqgeZBzkGzQaBBkgGFgYHBjcGgAaXBl0F+wWrBXQFQgUUBP4FAAT5BNkEtQSpBKcEiwRNBA8D8APoA9wDwQOgA4QDagNOAzIDFQL3AuAC1QLNArUCjwJtAlkCPwIMAdYBxwHlAgcCAQHaAcEBzQHmAecBzQG5AccB8AIYAiwCMQI2AjgCJQHuAaYBcwFqAX4BkAGOAXgBVgE0ARwBEwEZASIBJwEkAR0BFAEJAPoA5QDVAOABEAFQAXQBawFPAU8BcwGgAbwBzgHrAhICMwJGAlMCZgKAApwCugLWAu0DAQMYAzIDRANJA0wDXgN7A5ADkQOIA4UDhwOKA5EDngOvA78DxwPIA70DqgOWA48DlAOYA5cDkgORA48DiAOBA34DegNtA1oDRwM3AyMDCgLyAuAC0AK5Ap0ChgJ8An4CgQJ0AlMCOgJZAswDbwQGBH4FAQWuBlwGqwZZBXcEQwLxAaQAfv+p/zj/Ff8W/xn/E/8I/vn+4f68/o7+X/41/g394v2z/Yb9XP0w/QP82fy2/Jf8dPxO/Cr8B/vi+7b7ivtk+0T7JPr/+tj6rvqC+lX6J/n3+cb5l/lr+UL5HPj8+N/4wPif+Hr4VPgr9/z3y/ed93T3T/ct9xD2+fbf9rz2kfZm9jz2EPXi9bT1hvVW9ST09PTI9J/0cvRB9A/z3POo83jzUvMy8w7y5PK78pbydPJO8ifyBPHl8cXxovGC8WnxT/Er8Pvwx/CY8G7wSPAk8ALv4+/J77Lvl+9371TvMO8M7ujuxu6r7pXufO5f7kTuMO4g7g7t+O3k7dPtw+2w7Z7tkO2G7Xrtb+1p7WjtaO1m7WXtau1u7W3tau1s7Xbthe2V7aTtte3I7djt5e317g3uK+5O7nHulO637tzvBe8u71Pvcu+S77fv4PAK8DfwavCh8NXxBfEy8WLxkvG/8e3yH/JS8oLysPLl8x7zUPN085Pzt/Ph9A30P/Rw9IH0T/Py87vz9/Sg9XP2Ofb097D4Vvi++On5CPlA+Y752vog+mf6rvrn+xH7Ovtp+5b7uvvd/Af8MPxO/Gn8j/yx/Kz8cfwZ+8r7h/s6+t/6jvpY+iv54flw+Oz4b/gG97/3pve399j38fgG+B/4Mvg1+ED4iPkm+en6gfrI+tf63/ry+wP7B/sC+v36//sQ+zT7ZPuK+5f7l/uh+7z71/vQ+437BvpR+Z75Hvjn+Ob4+PkE+QT48vjM+Jb4Z/hS+FD4Tfg++Cf4DPfo9773n/eS94j3Zvcv9vr20Pat9pv2u/cY93/3p/d59yb26vbS9sn2vva29rP2rPaU9l317fUo9BLy0vGd8KLwB+/U78zvfu6y7a3s/+z17V/t5e5Q7oTuY+3r7XHtYO237fXtpezk7DLr5Ove6+Pr3OvZ69nrzuu265jrdetK6yLrEesd6zjrVut766Xrx+vV69rr5ev27APsCewR7CPsN+xJ7FzsdeyR7Kvsxezk7QntMe1a7YXtse3f7hLuSe5/7qbute6v7p/uke6U7q7u2O8B7yDvPO9f74nvs+/b8AfwOPBp8JbwxvD/8T/xfPG08eryHvJS8ofyxPMM81rzpfPp9Cv0cvTA9Q/1WvWe9eT2L/Z+9sv3F/ds98z4Kvh6+Lr49Pks+V75hfmp+dH5/fol+kn6cPqa+sP65vsH+yn7Tfty+5v7y/wA/DP8YPyN/Lv87P0e/VH9g/23/e7+Kv5q/qj+4f8c/2D/rP/4AD8AgADCAQkBVQGnAf8CXAK5AxQDaQO5BAoEXgSyBQEFSAWHBcYGAwY7BmsGlQa5BtUG5wbyBvoG/wcBBwIHBQcOBx8HNQdRB3EHkgezB9IH7wgKCCMIPwheCH8Ingi4CNAI5gj9CRcJNAlPCWMJcAl1CXkJfgmACXwJdAltCWwJcQl6CYUJmQm/Cf0KTgqzCywLqwwQDEMMUAxlDKAM9Q0/DWwNiQ2pDcYNzg24DZANag1ZDWUNhQ2fDaMNlw2PDYwNeg1HDP4MvAyRDHYMWQwxC/4LyQueC4ILaQtFCxUK6wrRCsEKsQqkCqIKqQqoCp0KlAqZCqgKtQq8CsAKwAq2CqcKnwqfCqEKrQrUCxsLaguaC6ALlQuPC5YLoQuzC+sMGww8DEoMUAxVDF0MaQx5DIcMhAxrDEUMGgvsC7ULcgstCvUK1QrNCskKtQqLClsKMQoLCdwJpQl7CXEJjQnDCf8KMQpTCmsKfgqJCoQKbgpRCjIKBgnFCYAJTAkrCQQIzAiRCGsIVwhCCCQICAf7B/wICQgfCD4IYQiMCMYJCglPCZgJ/Ap5CuILCQr2CtwKyQqKCeQI5QfeBxAGfQYOBbUFcgU+BRIE8ATgBOAE5ATpBPEE9gTvBN8E4AUABTIFXQV6BZQFsgXJBcoFtQWZBYgFhAV+BWMFMwT+BNoEyAS3BJkEdARTBDkEHAP4A9IDtAOiA5cDigN5A3ADgwO4A/EEAwPeA5sDXgM3Ax4DDQMHAwcDAALtAtgCzwLWAuUC8wLuAr8CYAHrAY4BYQFTAUIBJAEGAPsBCAEgATIBMwEqATABYQG5AhACLgH4AYIA+QCBABr/tP9J/uT+lP5P/fz9jP0G/Hn77Ptb+sn6QPnB+UP4wPhA98v3X/bz9ob2HfW79Vv0/vSp9F70GPPW85zzbfND8xby5PKz8oryavJS8kPyOfIs8hzyCvH28dvxvvGv8brx1/Hy8gbyHPI48lLyaPKH8rvy9/MV8v3ysvJX8g7x4fG08VzwyfAf75fvQu7/7qLuK+207VDtAOzI7Ljsz+zq7ObsvuyH7Err+uuV6y/q2+qa6mDqL+oV6hfqIOoT6eLpl+lI6QHovehz6CnoAugh6ITo9+k46Svo5OiI6DTn7ue354jnYOdE50DnUedf503nGObh5sjmz+bY5srmquaO5obmjeaY5qHmouaa5ormfOZ35nXmbeZb5kbmNuYp5hzmFOYV5hnmF+YP5g/mIOY35kXmTeZf5n/moOaw5q/msObD5u7nLOdx56/n2Oft5/noC+gd6Bvn+ue/54TnZOdm54Pnr+ft6ETorOkF6TLpMuko6TLpV+mF6avpyunr6hbqRups6oPqmOrI6xfrX+t363Hri+vh7DPsI+ur6zDrJ+uc7D/swe0Y7WXtvO4c7ofu/e9o76bvsO+q78LwBPBY8Kvw9fEx8VbxafF/8avx4/Ia8krye/Kp8sfy2/L88znzg/O+8+Lz+/QT9DD0WfSP9MX07/Ua9Wr14vZS9pD2rPbY9yX3bPeS96735vg5+JP48flo+fT6cvrL+xX7b/vW/DD8dPy2/QH9Uv2j/fz+W/61/wT/V/+9AC8AnQEFAXIB5gJUArYDEQNvA9YESgTDBS4FfAW3BfwGUwanBukHMQeNB90H7gfMB7UHxQfbB+sIQQktCnwLdQuUCwkKdgpECmgKqgr8C14Luwv1DA8MKgxaDJUMyAzvDQ4NKQ1CDWINiA2qDcMN2Q3zDgwOHA4nDjcOSA5UDl4OcQ6PDqkOsw63DsYO4Q77DwkPFQ8nDz4PVQ9qD4EPmA+qD7sP1A/1EBIQJBA5EGYQrxD+ET8RbxGaEcQR5BH3Eg0SNRJsEpoSsBK6EswS6RL9EvwS7hLnEusS7hLoEuQS9RMiE1gTeBN0E1UTMBMOEuYSrRJlEhkRxhFcEM8QJA9fDnoNdgyDDAAMOg0ZDiQO1A78DtMOqw6wDuAPLQ98D5oPTQ6cDd4NdA1kDWcNQQ0ADNEMtwyVDF4MHwveC4wLNQsLCyALNgr8CoMKPAp2CvkLSgsoCrcKNAmzCTIIxgiHCGwITwgZB9YHlgdVBxsHFAdkB+wISggxB7EHGwasBmgGPgY9BngG0gcBBtQGZQX1BacFcwVQBUUFTwVMBSQE5wS7BK0EnwR3BEQEJQQdBBQD9QPGA58DiQN7A2cDRwMlAxEDCgL7AtkCtQKqArQCogJaAf8B2gH7AiwCKwH6AdEB0gHoAe0B3gHYAfECGwI8AkYCQwI+AjUCGgHrAbMBigF5AXwBiQGTAZABeQFXAT0BOQFIAVgBXQFXAUwBQAE2ASoBGgEJAQoBKgFeAYMBgQFpAWQBhAG1AdwB9gIOAikCQgJZAnYCmgLBAuAC9AL8AwEDDwMvA1YDbgNzA3gDjwOrA7MDogOPA4wDkgORA4wDjwOcA6oDsAOvA6gDnAOQA40DkwOXA5IDiAOCA4ADfgN4A3IDawNdA0wDPAMvAyMDFwMMAwEC9QLoAtoCygKzApsCiQJ7AmICPgIqAj4CeQLGAycDuwSLBW4GIQZzBlIFtASPAwQBaAAh/2D/FP8F/wX/AP74/u7+3/7D/pv+bf5D/hv98f3E/Zn9cf1I/Rv88fzN/K78jPxn/EL8Hfv1+8r7oft/+2D7QPsc+vT6yfqb+mr6OvoK+dz5rvmC+Vn5MfkN+O34zPio+IL4Xfg2+Aj31ven9373Wvc59x33Bfbr9sf2nfZ09k32JPX29cf1mPVn9TL0//TU9K70hvRZ9Cnz9vPA843zY/M+8xby6PK88pfydPJN8ibyBfHo8cjxovGA8WXxTPEq8P3wy/Cc8HPwTPAn8AXv5+/P77jvnO9671PvL+8L7ufuxe6p7pPufe5j7knuNe4l7hHt++3n7dbtxO2v7Z3tku2J7X3tcu1u7XDtce1s7WbtZe1l7WTtYu1o7Xftiu2b7artue3K7dnt6e387hXuMu5Q7nLulu677t/vBu8v71fvee+Z77zv5/AU8ETwePCv8OPxEvFB8XbxqfHX8gHyL/Jh8pDyvPLt8yPzU/N285TzuvPk9An0M/Ro9I/0d/QZ88Hz0fRr9Vb2RPca9+D4jPkD+Tz5Wfl9+bP57foo+mr6rPrj+wz7NPtl+5r7zfwB/Dz8dPye/L/85P0N/SH9DfzW/Ir8K/u2+zz64Pqv+oz6SPnT+UD4svhB9//38fgL+DP4U/hv+I74qPix+Lf46Plg+gP6kPre+vf7AfsR+yj7PftK+077TftV+3D7mPu4+8n71vvs/Aj8CvvX+2j6zvos+aX5U/k5+Ub5Yvl4+Xv5X/ki+Nj4pPiV+Jr4mfiK+Hr4cPhh+Eb4KfgX+Af34/en92T3JPbi9qn2nPbP9yD3VPdS9zf3Kvcs9yr3Jvc091j3hPei95n3SvaZ9Yr0RPLw8a7wpu/776PvUO667eztRe0I7SbtaO2h7bLthO0n7O/tKu227gntw+0P7GjsCuvY66jrfetn61rrPesN6tjqoupn6jDqEeoW6jjqc+rF6x3rWetn613rXOty65Prs+vV6/nsF+wt7ELsX+yE7Kzs1u0G7TntZu2K7arty+3z7iXuW+6K7qPuo+6S7nzua+5s7ojuu+7x7xrvOe9e74vvue/h8AXwLPBU8HrwpfDa8RrxW/GY8c3x/fIu8mPyoPLl8yzzcvO39AD0TPSd9O71OvWB9cb2D/ZZ9qL27fdD96L3//hL+Ir4xPj7+Sr5Tflu+Zj5xvnx+hn6Qfps+pT6uPrb+wH7KPtN+3P7ovvU/AT8LfxV/IH8tPzr/SD9VP2H/b79+v45/nb+sP7t/zL/fP/FAAkASgCPANcBJAF3AdICMQKRAu0DRQOZA+0EQgSXBOgFMQVzBbQF8QYpBlsGhwauBs4G5AbzBwAHCgcRBxYHHgcqBzwHVQdzB5UHtwfXB/UIEwgxCEwIaQiICKgIwQjUCOQI+AkPCSsJTAluCYsJnQmiCaIJoQmgCZ0JlgmSCZIJlwmdCaMJtAnaChYKZgrFCzULrAwODEUMUwxdDIEMuwz0DRwNOw1bDXYNfA1nDUINJA0bDS4NUw1yDXwNdA1qDWINTg0iDOQMqAx9DF0MPQwRC9sLpQt8C14LPgsRCt8KuQqmCpsKiwp/CoMKkAqXCpEKjAqSCqAKrAq0CrkKuAquCp8KlgqWCp0KsQrfCygLcgumC7sLvwu6C7ALrQvADBkMTgxeDFcMUgxWDFwMYgxtDHUMaAxADAwL2gusC3gLPQsBCs4KqwqZCo8KfQpZCikJ/AnXCbIJhAlZCUsJaQmsCfgKMQpQCmEKcQp+CnoKYwpECigKBAnKCYEJQQkWCPEIwQiNCGMIRwguCBIH+AfmB90H3wfvCA0INQhiCJIIvwjiCQkJTwm2ChQKPQo5CjYKOAoGCWgIcwd6Br0GPAXZBYIFPAUIBOIEyAS7BLkEvgTLBN4E6gTjBNQE2AT8BS8FWAVsBXcFgQWJBYoFggV1BWoFZwVmBVkFNQUDBNUEtwShBIcEZgRFBCUEBQPlA8kDsgOcA4gDdQNkA1sDawOVA8ADyQOjA2YDNQMXAv8C5wLVAsoCvgKtAqECpQK3As8C4QLeArACTQHRAWkBNwEuASwBGwD6ANoAzQDYAPAA+gDsANwA8gE/AaMB4gHRAXIA7QBp//r/mf85/tn+gP4x/dn9aPzd/Er7uvsu+qL6Hfmi+Sz4tPg898v3YPb39oz2IvW+9V30/vSo9F70HvPj86jzcvNC8xjy7/LH8qLygfJp8lfyRfIt8hLx+vHm8c/xuPGr8bLxx/He8fbyFPI38lnyfPKp8t3y/fLv8rLyXPII8cLxh/FI8OvwaO/Y72XvFu7D7kPtou0T7MDsqey17Mrs1uzL7Kbsd+xL7B7r4OuO6zvq7uqj6lrqIuoP6h3qKeoX6d/pj+k76OzonOhA597nm+em6AHoeOjE6MDof+gp59nnledY5yDm8ebV5tbm6uby5tTmmuZv5m7mhuaQ5nvmWOZE5kTmTOZP5k/mS+ZC5jLmIeYV5gzl/+Xt5d/l1eXJ5bnlreWv5brlwOXC5cvl4uX+5hTmKOZI5nLmkuaY5ovmheaa5s3nFOde55rnuOe757Pnsee256/nkOde5zLnIect50fnaued5+voSOiV6Lvov+i/6NHo9ekj6VXpiunA6fTqI+pI6mfqierA6w3rUutt62freuvJ7CvsSewC65frcuu47Djsru0I7Vvtu+4k7o/u+O9S743vp++47+LwJ/By8LPw6vEf8UnxZPF+8ajx5vIm8lvyhfKo8sfy5/MT81Tzn/Ph9A30KfQ+9Fb0e/Sv9OT1EPVC9Zb2CfZr9pn2qfbQ9x33a/ee98r4D/hr+Mn5Kvmf+iX6mvrv+zn7kvvx/EH8gvzL/SP9f/3X/jb+m/76/0v/ngADAHMA3QE+AaMCCwJtAscDIgOHA/IEXwTOBTQFhgXJBhAGaAa/BwwHWwe5CAsIKAgSB/4IBwgWCCQIeAldCqULowvSC1IKugp9Cp4K7AtFC6ML9AwlDD0MWAyKDMgM/Q0iDToNTw1oDYYNpg3FDeEN/Q4YDiwOPA5NDmIOcw58DoUOmQ6yDsUOzw7cDvQPDg8dDyYPNA9JD14Pbg+BD5oPsg/CD9EP6xANECcQNhBPEIgQ3BEvEWkRkBG1Ed0R/BIMEhwSQRJ4EqcSvBLBEs8S7BMHEw0TAxL7EwATBhMBEvgTBRMzE3ATmBOSE24TShMwExAS1xKMEkIR/RGlESMQew+4DtoN2gzaDDIMMgzVDbcOZw7EDvoPMw9oD4QPnA/VEBoQDw98DqIOBg3hDe8NzQ1qDQAMvAyYDH8MbAxRDA8Lows+CxELCQroCp0KbAqbCxILcAtmCvQKVQm/CUgI8QitCHYISwgsCAwH2QeZB3YHpAgeCJwIwQhtB9MHSQb8BtkGwga6Bt4HJgdSByAGnAYOBbUFjQV3BWkFaQVpBU4FFQTgBMkEvwSjBHcEVQRKBD8EHQPqA8EDrwOlA5ADcANUA0QDMQMHAs4CsALKAvwC+gKiAioB7gIJAj8CRwIfAfoB+AIDAfwB6AHrAhECRQJnAmwCWwJAAiECAAHhAckBtQGjAZYBlgGhAagBmwF9AWcBaQF9AZABlwGSAYcBeAFoAVwBUQFCATUBPAFdAYIBkQGHAYIBlgHBAe8CEgIoAjcCSgJsAp0C1gMEAyADJQMaAw0DFgNAA3cDmQObA5cDogOvA6cDjQOCA5MDqgOsA5wDjgOOA5MDkwORA48DiQOAA3oDewN+A3sDdANxA3QDdwN1A28DZgNaA0wDPwM1Ay8DKgMlAxsDDwMHAwQC/ALfArYClAKDAnQCWAI0AhkCEAIdAkwCrgNHBAgE5wXcBrMHAAZgBNkC5wEr//7/X/8b/wP++f7y/un+3P7G/qP+ef5O/ij9//3U/ar9hP1e/TT9C/zn/Mb8o/x+/Fj8MfwH+9z7tvuX+3n7Wfs1+w765Pq0+oH6T/of+fH5xPma+XH5Svkk+QD43Pi1+I34Z/hB+BT34fex94j3ZPdC9yX3D/b29tP2qfaB9lz2NfYH9df1pfVx9Tv1CvTg9Lz0lfRr9D/0D/Pb86fzefNO8x/y7PK+8pnydvJP8ijyB/Hq8cjxoPF68V7xQ/Eh8PbwyPCc8HPwTfAo8AXv5u/L77Pvl+9171DvLu8P7u/uzu6y7pvuhe5t7lXuQu4v7hnuAu3w7eHtze217aDtlO2M7YDtde1x7XTtc+1s7WTtYe1i7WHtYu1q7Xztj+2h7bHtw+3T7eHt8e4H7iPuP+5a7nnune7B7uTvB+8v71jvfO+d78Lv7vAe8E/wgfC18OfxFvFI8YDxuPHm8g3yN/Jn8pbyv/Lr8x3zTfNz85nzxvPz9BL0LPRZ9I/0mPRU8/nz7vRw9Vf2Ufcw9/T4n/kj+XX5pvnQ+fv6IvpJ+nz6vPr6+yn7UvuD+8H8BfxM/JH8zPz1/Q39JP1F/Wr9hP2C/Vb8+/x4++77hftL+yD61fpQ+aL49fh0+Dj4Pfho+Jf4ufjX+Pv5Hvkx+Tr5Wvmt+ib6m/rq+xP7Kfs/+1n7dPuJ+5P7lfub+6/7zfvr/Af8J/xH/FD8KPvE+zb6n/od+cX5nPma+bD5zfnj+d/5tvlq+Rn45vjc+OT43vjI+LX4sviy+KL4hvhu+Fv4Rfgk+AD31/ei92L3M/cr9zz3Rfc79zP3Ovc/9yz3B/bu9vX3HPdR93n3Zfbs9g707vOx8mzxQfBr8Ajv6e+170HusO497frt1u257Y/tR+z37NztGu197Z3tUuzT7GnsD+uY6wXqj+pV6jbp/+mu6V/pH+jj6KzojeiT6L/pEOl+6fLqQepa6lfqYeqH6sHrA+tM65br0+v/7CXsUOyB7LTs7e0t7W3tn+2+7dPt5+4C7inuVu547oDub+5V7j/uNe467lnuj+7P7wbvMu9e74/vwO/n8ATwHfA58Fjwf/Cv8OrxK/Fr8aTx2PIL8kTyhPLF8wTzQfOD88z0G/Rr9Lz1DfVb9aX17PYy9nj2xvce93331Pgc+Fr4l/jR+P75Hfk6+WD5jvm7+eb6Efo7+mD6gvqn+tP6/vsl+037evur+9n8APwn/FP8hfy6/O/9I/1X/Y39xv4C/j/+fP6+/wX/TP+P/88AEgBaAKQA9AFKAakCCgJpAsQDHQN1A8sEIQR1BMcFEwVaBZ0F2wYSBkMGbwaZBrwG1wbrBvsHCgcXByMHMAdAB1QHbQeOB7MH2Af5CBoIOwhcCHoIlgiyCM4I5Qj1CQMJFgktCUkJawmRCbQJygnRCc8JzAnHCb8JuAm1CbcJvAm/CcUJ1An0CiUKZAqxCxILgwvtDDUMUQxaDG4MlwzJDPANDA0jDTYNPQ00DSINEQ0ODR4NOQ1PDVMNRw04DSsNGQz2DMUMkwxoDEUMIAv0C8ELkQttC08LKgr6CsgKpgqWCosKfgp2CnoKhAqJCoUKgwqKCpQKnQqlCq4KrgqgCosKewp3CoAKnArQCxULWAuOC7YLzQvMC7oLtQvZDEgMewx2DFcMRwxJDE0MTgxTDFMMOgv/C7kLfgtSCygK+wrPCqkKhgprClYKQgohCfUJzQmyCZgJcglGCTIJUQmdCfUKOApaCmkKdQp8CnUKWgo7CiAJ/wnKCYIJPwkPCOsIwwiUCGoISggtCA4H7gfRB7wHtgfCB98IAwgpCE0Iagh5CIYIqwjsCS0JTglXCWkJfAlXCMoH7gcRBm0F/gWjBVAFCgTaBL4ErQSjBJ8EpgS6BNUE4wTbBM0E1QT9BTAFVQViBV8FVgVOBUwFTgVOBUgFRQVIBUgFMwUFBM8EowSGBG8EVgQ2BBID7QPQA7oDpQOLA3ADXgNUA04DUQNhA3ADagNJAyADBQLzAtoCtwKZAocCfgJ4AnwCjgKpAsMC0wLMApoCNwG6AVABFgEJAQ0BCQDuAMQAoACYAKwAwAC8AKQAmwC8AQMBTgF0AVoA/QB6//j/jf8w/s/+Z/4D/aL9NPyw/CH7lvsT+pH6Evmb+Sz4vPhH99L3Zfb99pX2LPXH9Wj1DvS49G30K/Pv87XzfvNN8yPy/vLc8rzyn/KH8m/yVPIy8hDx9PHf8cvxufGw8bPxvvHM8eLyAvIq8lTyh/LG8v3zCvLa8oHyJPHR8YTxN/Dm8IvwHu+t71DvB+6o7g7tT+y07HXsiuy87Nvs1eyx7IDsUuwq6/3rv+t26y7q6Oqf6lrqMeou6j7qQOoe6d3piukz6NzogugZ56XnSuc654Xn/OhW6GfoNufn55XnS+cK5s3mmOZ35nbmi+aR5mjmIuX05f3mJeY75ijmBuXy5fDl8OXp5d7l1eXM5b/lsuWn5ZvljOV+5Xblc+Vo5VflSeVJ5VblZuV45ZDlreXH5d7mAOY15m3mi+aG5nPmcuaP5sPm/+c352DncOdn51XnTOdL50XnLucK5u7m5ebp5u7m+OcY51rnsOf46B/oLeg26EnoZOiJ6L/pBulP6YzpuOng6g3qReqM6t/rKetT61/rduu+7Cfsbuxm7Cbr9ewB7D7sh+zS7TPtsO417qXu9u8y72PvkO/D8ALwR/CC8Kvwz/D98THxX/GG8bbx9fI18mfyifKq8tXzCvNE84Hzv/P59Cn0TvRo9ID0o/TU9Qr1PfV39cr2MPaB9qX2tPbb9yb3dfez9/D4SPi1+R/5gvnr+lv6vfsN+1v7tvwS/F38nvzt/U79s/4V/nr+4/9E/5r/8ABRALQBDAFgAboCGAJvAsUDKgOfBBEEcgTNBSwFiQXaBicGfAbXBy0HggfaCCgIUAhUCE8IVAhZCGgIwwmgCtILxAwAC5sLEwrUCu0LNwuOC+IMKAxWDHEMjwy7DPINKA1UDXYNkQ2pDcEN2w32DhIOLA4/Dk8OYg5+DpsOrA6wDrUOxQ7ZDucO8w8HDx8PMA81Dz0PUg9sD4APjQ+hD7wP0w/iD/MQDxAuEEAQTBBrELARCRFWEYURohHCEecSBxIZEiwSURKFErMSyBLOEt0S+hMWEx0TExMKEw8TGBMTEwcTDBM2E3YToBOcE3cTWBNMEzwTDBLBEncSNRHhEV0Qpw/UDuoN5wzlDC0MCAx6DTYN7A6KDyoPwhAQD+sPmA+TD/gQURAWD1UOog5tDoYObw3yDVIM6QzODOMM/wz/DMEMQQuvC00LJgsOCt4KqwqrCusLOQtICvwKeQoCCb0JkQlOCOUIfwhFCC0IFggBCBgIdAjkCQ4IxAgrB58HYwd2B5kHjwdZBy0HLgczBvYGcQXuBbQFtwW4BZoFdgVnBV4FQwUjBRQFEwUBBNYEqQSMBHEERgQSA+4D3QPLA64DkQODA3kDUwMGArkCpALZAxwDGgK9AksCGwI6AmoCawJGAisCLAIvAh0CBQIJAjMCaQKLAo0CdAJKAhsB9gHnAegB5gHVAb4BtQG9AcYBugGhAZABlgGqAbwBxgHLAckBuwGmAZcBjgGCAW4BYQFuAZIBsgG8AbgBvQHYAgACJgI9AkwCYQKOAs0DCgMzA0MDQQMzAykDOANoA6ADtwOkA4gDgQOGA34DbwN1A5sDwwPKA7QDnAOSA4sDgQN4A3UDcANlA1kDVQNZA10DXwNiA2cDbANsA2kDYwNbA1IDSAM/AzkDNgMwAyMDEgMHAwYDBALzAtQCuQKmApQCdwJTAjMCGQIJAg4CKwJlAtUDvAVCBxcIawh1BxME3AKiAO3/2v9I/w3+/P71/ur+2/7G/qj+gP5W/jD+Cf3g/bf9kv1u/Uf9IPz8/Nn8tPyN/Gf8Q/wb+/P70Puy+5T7cftL+yX6+/rM+pn6Z/o3+gf52fmw+Yn5Y/k8+Rj48/jK+J/4dvhO+CH37/e/95b3cfdM9y33FvcA9t/2tfaM9mf2QfYV9eP1r/V69UX1FfTu9Mr0pPR79FD0JPPy87/zjvNe8yny8vLB8pzyevJU8i3yDPHt8cjxn/F48VnxO/EX8O3wxPCd8HfwUfAr8Ajv5+/K77DvlO9y71DvMu8Y7v3u3u7B7qjukO557mPuTu447h7uB+337evt2O2/7antmu2P7YPtee117Xbtc+1r7WXtZe1p7Wrtbe127Ybtl+2n7brt0O3k7fLuAO4W7jPuT+5o7oPupe7K7u3vDu8z71vvge+l78zv+vAp8Fbwg/C18OjxGfFL8YHxt/Hl8gzyNfJl8pTyvvLp8xnzSPNy857z1fQJ9Cf0NvRU9In0p/SE9Dv0JfSG9U72OfcW99r4iPkV+Xz5yvoK+jv6Vvpp+o760fsg+2D7jvu9+/z8SfyY/N79GP1C/Vr9aP1//az95f4N/gn90v1z/QL8lvw4+9/7cvrb+hn5Uvi5+HT4gPi3+PD5Gvk8+WP5jPms+cL54foZ+mj6u/r++y/7VPtz+4/7qfu/+9D73vvu+/78D/wl/Ej8dvyW/Ib8M/uq+w76hfoj+e/54/n0+hH6LPo3+iX57vmg+Vf5L/ks+TP5LPkT+Pv48vjw+OH4wvig+In4gPh++ID4e/hl+Dn4BPfV96r3efdJ9yz3IvcL9sn2YfX29a/1ovXK9gn2IvXj9Uj0e/Of8sHx9fFw8Vnxj/G28YjxC/B17+/vhe8x7t3ue+4W7dHttO2V7UDsxuxg7BTrnerG6cTpBeis6HnoJeex507nD+bj5sPmu+bY5xbnbefZ6Evopujc6P7pJ+le6aHp9eph6tvrTuut6/zsReyH7MTtBO1L7Y/twe3f7fDt/e4J7hruL+4/7jvuI+4I7fvt/+4S7jTuau6v7vPvLO9e74/vvu/k7/3wD/Ai8D3wYPCK8Lvw9PEy8XDxqvHj8iHyZ/Kr8ubzHvNb86Hz7PQ49If02/Uv9X71xfYJ9lD2ovb991n3qvft+Cv4avil+ND47fkI+Sz5WPmG+bX55PoP+jP6Ufp0+p/6zfr2+yD7Tvt++6z71vwA/C78X/yQ/MD88v0k/Vn9kP3K/gf+Sv6R/tn/Hf9c/5v/4QArAHcAygElAYgB6gJEApwC9ANPA6cD+wROBKAE7wU6BYAFwQX5BikGVgZ/BqQGwQbYBu0HAAcRByIHNAdIB14HegeeB8cH8AgUCDgIXgiDCKMIvgjYCPEJBgkXCScJOwlUCXMJlwm+CeAJ9An8CfwJ+QnyCecJ3QnaCdwJ3gnfCeMJ8AoHCigKUQqGCtALMgufC/sMMQxIDF0MhQy8DO0NDA0aDSMNLA0xDS4NJQ0cDRwNIA0iDRcNAwzvDOAM0Qy5DJgMcgxPDC0MBgvYC6YLewtcC0ELHwrzCscKpwqVCocKfQp4CnkKegp1CnAKcgp5Cn4KgwqOCp0KnwqPCnUKXwpXCmAKfwqzCu8LJgtZC44Ltgu/C7ALuAv0DF8MgQxlDDsMLQw2DDoMNww2DDEMDAvBC2wLLAsCCuAKvQqfCoIKYQo9Ch4KAwnkCb8JogmSCYAJXAkvCR0JQQmTCfMKPwpsCoEKhwqBCm0KUQo0ChsJ/AnJCYYJRgkXCPIIywidCHIITwguCAgH3Qe0B5UHiweWB68HygfhB/YICAgQCBQIJAhGCGgIeAiACJUIrAiSCCEHcQa/BjYFzwV3BSUE5QS9BKYElwSNBIsElgSxBM8E3QTVBMsE2AUBBTEFUgVcBVEFOwUkBRoFHgUkBSUFJgUwBTgFKgT9BMEEjQRqBFQEPgQgA/gDzgOwA5wDiQNuA1UDSQNHA0IDOAMuAyUDFQL9AucC2wLMAqwCfgJXAkQCQgJKAlwCeQKZArICvAKtAncCFgGiATsA+wDiAOIA5wDbALgAiwBvAHAAfwCCAHQAXABNAFsAlQDvATQBJQC5ACL/nv84/tH+V/3Z/Wn9APyL/Aj7h/sN+pX6Gvmm+Tr4zfhZ9+L3cfcK9qP2OfXU9Xn1JvTW9In0QfP+88LzjfNh8zvzGfL38tfyu/Kg8oPyYPI88hzyAfHp8dHxv/G38bjxufG88cjx4/IK8jryefLG8wTzDPLT8nTyE/G48Vnw9PCV8D/v6u+W71DvD+6p7f/tM+yW7GXsiuzA7NLsuuyO7GLsN+wI687rietH6w7q1+qc6mjqTupP6lHqOeoE6cDpdOkf6MPoX+fs52vm+ebM5v/ndOfi6BPn++ew51Dm9ear5m/mPOYa5h3mPeZO5iLlxuV+5Xrlq+XU5dPlteWb5Y3lgeVw5V7lT+VC5TflMOUs5SXlHOUW5RjlHOUU5QDk7OTi5Obk++Ug5U3lb+V+5Y3luuYF5k3mbeZn5l7mb+aY5sPm5Ob65wnnDOcA5vLm7Obs5uPmyOam5o7mhuaC5nfmceaG5sHnEedY54Xnnueu573nzOfo6B/ocejG6QfpMelW6YfpyOoW6mvqwOsH6zrra+u07BrsfOyu7KPsd+xU7EzsYeya7QXtnu4/7rbu8u8Q7zTvcO+98A3wUfCA8Jzwt/Di8R7xWvGO8cTyBfJJ8nzynvLC8vrzQvOH873z6vQY9Ej0dPSU9Kz0yPTx9Sb1YPWk9fr2Wvan9s724vcJ9033mvff+Cz4lfkR+YT55Po7+pH64/sy+4n76vxH/JL81v0m/Yb97f5T/rz/Jf+G/+IAQQCgAPMBOAF+AdICKAJ2AskDOgO/BDMEhwTPBSkFkgXzBkcGnQb+B2AHtwgFCEsIfwiWCJgIkwiXCMEJPwolCzgMAww0C98LawsvC0ELggvPDBUMUwyHDLAM0wz2DSENVQ2NDb4N3w30DgYOGw4zDkwOYA5tDnkOkA6zDtQO5Q7oDu0O+g8IDxAPGw8tD0EPSg9OD1sPdg+RD6IPrw/FD+EP9hAFEBoQORBTEF4QaxCUEN8RMxFxEZMRqxHJEe0SDRInEkMSbBKbEsAS0hLbEu0TDBMnEy0TIBMUExgTIhMgExATDRMtE2kTmBObE30TYxNfE1sTNhLwEqMSXBIIEYYQzw/xDvoN8QzxDDUL+wxJDOYNlw5TDyUP5RAwD9QPLA7qD1cP/hAjD54O9w68DtwO1Q5eDbUNRQ01DVsNfg14DTYMuAwhC6cLaAtLCyUK6wq8CroK3wr2CtMKhQpHCj8KRAoKCXoI1whtCEkIRghaCJ8JCQlMCRcIcwe/B2AHfgfpCEQIPgfSB0sG9wbQBpQGLAXaBeUGLQZPBhkFvQWEBXkFfAWBBZIFpwWkBXkFOQT7BL4EfQRFBCYEFAP3A9ADtwO2A60DdAMTAsgCyAMCAywDCgKwAmoCbAKgAr0CowJxAlgCXwJmAlYCQAJBAl4CggKaAp0CiwJmAjgCFQIKAhACDwH9AeQB2wHiAecB2wHFAbkBvwHMAdYB3wHvAfsB9wHkAdMBywHCAa8BmwGgAcIB7AIFAgYCAAIFAhwCPAJZAnMClQLKAwcDNgNKA0wDSwNMA1QDbwOfA8YDvwOKA1gDUANrA4MDjgOdA7wD0wPNA7IDnAOSA4gDdgNmA14DWgNQA0QDPwNFA00DUgNTA1QDVANUA1MDUANKA0IDOgMzAzADLwMtAyMDFAMFAv4C/QL5AvIC6ALWAroClwJ7AmgCVQJAAisCFgICAisDDAT4B4gJnQoiCNUGYQPAAZ0ALv9k/xT/A/78/u7+2/7I/q3+h/5d/jX+D/3l/bz9l/10/U/9Kf0H/OX8v/yY/HX8Vfwy/A777PvO+677iftg+zn7Dvrf+q/6gPpQ+iD58fnJ+aP5fPlV+TL5D/jl+LX4h/hc+C/3/vfQ96j3gvda9zf3HfcH9uf2vvaU9m/2SvYe9e71vPWJ9VX1JvT/9Nv0tPSL9GH0NPQD89DzoPNv8zfy+/LH8p/yffJZ8jPyEfHx8cvxovF88VvxOfES8Ovwx/Cl8IDwWfAz8BDv8O/T77jvmu9471XvOO8h7wju7e7Q7rXune6G7nHuW+5C7iTuC+367e7t3u3I7bPto+2V7Yjtfu187Xrtdu1v7Wztce147Xvtf+2H7ZTtoe2u7cHt3O307gTuEe4l7kHuXe507o7ur+7V7vnvGu8972Tvi++x79rwCPA18FzwhfC38O/xJPFT8YHxsfHh8g3yOvJp8pfywvLv8x/zTPNy85vz1fQT9Dv0TfRi9Iv0rfSi9HD0VvSO9SH16/bF95n4U/jm+VT5rfn8+jT6S/pR+nD6vPsi+3r7tPvh/Bf8W/yj/On9L/1y/aP9wf3d/g3+SP5z/n3+b/5T/h79uP0g/Hb71vs5+or5yvkk+Mf4wPjz+Tb5cPme+cf58foc+kb6cPqd+sz6+vsl+0/7d/ub+7r71Pvs/Af8J/xF/Fj8Yfxu/JH8wPzU/Kf8MfuS+vj6gfo6+h/6J/pC+mH6dPpt+kb6BvnB+Y/5fPmA+Yv5iPl0+Vn5Rvk9+TD5Efjj+Lf4m/iR+JH4kPiG+G74SPgU99D3gfc49wb24/at9kT1qPT+9HX0MvQ39Gb0hfRq9BvzwvN58z7zD/MF8zvzmPPY88bzZPLe8lvx7/GV8TfwvPAl74vu9O5J7YLsw+w067Pq4Omh6FTnducT5s7mWOXI5V3lK+UX5RTlMuV55dfmOOaZ5v7nX+eu5+3oHuhH6HLoueky6dLqfOsU65fsBuxg7Kzs9e1A7YPts+3T7e3t/+4C7fnt7+3q7eHtz+2/7cHt1+357iPuWu6f7unvK+9e74jvsO/V7/HwBPAW8C/wUfB48J/wzfEG8UTxgPG58fjyQPKK8srzBPM/84HzyPQR9F/0svUG9VL1l/Xd9iv2gvbe9zT3fve99/r4OPhu+Jb4svjQ+Pf5JPlT+YP5tvnk+gj6JvpH+m/6mvrF+vL7IftR+3/7qvvY/An8OPxm/JP8wvz0/Sj9Xf2W/db+HP5m/q7+8P8u/3D/uQAFAFQAqQEIAW0BywIhAnQCzAMnA38D0gQjBHUExgUTBVsFngXaBg4GOwZjBoUGowa+BtcG7gcCBxYHKwdEB2AHgQeoB9UIAQgoCE4IdwigCMMI3wj4CQ4JIwk1CUYJWgl2CZoJxgnxChEKIAokCiQKIwodChEKBgoBCgEKAAn/CgAKBwoTCiUKOwpaCocKzAstC5YL7AwhDEYMdgy5DPoNIg0xDTgNRQ1VDVkNSw0wDRQM/AzkDMoMsAycDJEMiQx7DGcMTww3DBoL8gu+C4gLXQtBCysLDwrsCskKrAqWCoQKeQp1CnIKaApbClQKWApdClwKXwpwCoUKiwp8CmQKUQpKClIKbwqeCtAK+gsmC10LkQunC6cLwQwLDFQMVgwqDAYMCwwjDCoMIgwaDA4L4QuOCzQK8grKCqoKiwpyCloKOgoTCe4JzwmxCZQJggl5CWcJQAkXCQ8JPgmXCfsKUwqTCrQKsgqUCmsKRgoqChQJ9AnFCYoJUgkkCPoIywiZCGwIRwgjB/cHwgeOB2kHXAdmB3sHjAeUB5gHngejB6oHtgfHB9IH0AfLB9UH4gfQB4IHBwaDBhAFrAVSBQUE0ASuBJcEhQR4BHcEhQShBL0EyQTGBMYE2QT/BScFQQVJBT4FIwUDBPEE8gT+BQkFEwUhBSgFFATiBKQEcAROBDYEHQP7A88DowOCA3ADYQNMAzoDMwM0Ay4DHAMHAvMC4ALOAsECuQKmAn8CSwIhAg8CEAIeAjQCUgJxAooClAKDAk4B9AGLAS0A6QDEALkAvgC/AK0AiABhAEcAOwA6AD0ALwAF/9n/6gBbAPIBOwD5AFr/v/9O/uX+Yv3R/VL85vx4+/77g/sS+qH6Kvm1+Un44fhy9/z3ivch9rj2TfXn9Y/1Q/T89LL0ZfQa89bzofN7817zQPMe8v3y4PLD8p/ydvJP8i/yE/H18dfxwfG58bfxsvGp8avxwfHq8h/yYPKr8uby8fLB8mzyC/Gi8SnwrfBF7/rvwO+K71bvFu6j7eztHuyP7GvskOy27LLsjexg7DfsCuvQ64zrSOsQ6uTquuqK6l7qReo66iXp+em96YDpQOjz6JboL+e75zXms+Zn5njm2edR56Pnrudx5wjmm+ZJ5hLl4+XC5cjl+OYe5fjlieUe5QHlL+Vp5XrlZeVH5S/lGuUD5Ozk1+TE5LTkr+Sy5LXktuS85Mnk0eTL5LXkmOR85G7kfuSx5PPlHuUp5TTlaOXA5g3mLeYy5kTmcuak5r3mvOa05rHmruam5p7mnOaV5nnmR+YU5fbl9OX75f7mAOYX5k3mlebY5wvnLedC503nV+dz57HoC+hk6KToyujl6QnpO+l56cXqH+qC6uTrPOuT6/jsaOzD7OTsxuyI7FjsU+yF7PXtlu497rfu7O787xjvW++08ArwTfB58JfwtPDg8RvxWfGP8cjyEfJg8p7yxPLl8x3zavO18+30F/RA9HD0nfS+9NL05fUE9TT1cvW/9hz2f/bR9wD3HPdC94L3z/gf+Hj46fln+dr6Mfp4+r77Dvtn+8n8L/yK/Nb9Gf1k/b3+I/6P/vv/Yf+/AB0AgQDfAScBYgGkAfgCSwKTAuYDWgPhBFIEnATdBToFrQYbBngG1gdAB6YH+Qg7CHkIsAjOCMwIwQjZCT0J+ArrC88MWAxiDA4LpgtxC4MLwwwLDEgMgAy7DPUNIA0+DV0Njg3JDfsOGg4tDkAOWA5zDosOnA6oDrQOyg7oDwQPFA8dDycPMw86DzsPQQ9PD18PaA9yD4YPoQ+0D74PzA/lD/8QEBAfEDoQWhBwEHkQjhDEERERVxGEEaARvBHeEf8SHhI8EmESixKyEswS2RLhEvUTFhM1Ez4TMhMkEyQTLRMuEyATGBMwE2YTmxOrE5QTdxNtE2sTURMUEsQScxIbEaIQ+hAoDzoOOw1EDIYMMAxPDMENWg4IDssPfA/CD2gOvQ5oDsUPdw/ND4EO+g6+DtcO3Q6KDgwNuQ2sDboNtQ2ODUgM5AxtC/8LtguOC2gLLQrlCrIKpQqoCpQKZQpLCmcKjQpoCdwJKwisCHkIdAiRCNYJKAk6CNoILgeZB2gHoggXCHYIcgf6B1QG3AamBngGMQYQBlYG2AcXBtAGPgXNBacFswXXBgwGPwZNBiIF0QV1BRcEvgR/BGEETgQrBAAD7APwA94DlAM1AwoDKwNfA1YDAwKqApYC0AMTAxkC3gKbAoECjQKaApICggJ9AoMCjQKUApsCmgKGAmMCQQIwAiwCJAIRAgAB/QIEAgUB+AHmAeAB5QHnAeIB4wH0AgsCFAILAf0B9QHuAeEB1gHeAgACKgJIAk4CRQI8AkICWwKBAq0C3wMVA0IDWANUA0oDSwNZA3EDlwPEA9wDvgN3A0EDTAOMA80D7QPyA+sD1gOzA5IDgwOCA30DagNXA04DTANIA0IDPwNDA0gDSANDAzwDOAM3AzgDNAMpAxsDEgMQAxMDGAMdAx0DFwMMAwEC+gL5AvsC+gLrAs4CsgKlAqACkgJ3AloCNAIBAgQC0ATLB4oJzApiCQcGewPGAZcAJP9g/xr/D/8H/vP+3v7P/rj+k/5m/jz+E/3n/bz9lv1y/U39Kv0M/O78y/ym/IX8afxK/Cf8Bfvn+8b7n/t1+0r7Hvru+r/6lPpo+jr6Dfnm+b/5lvlt+Ur5Kfj++Mv4l/ho+Dv4DPfg97n3kvdo90L3JfcM9uv2w/aa9nf2UvYo9fr1zvWg9W/1PvUT9O70xvSb9G/0QPQO89zzrvN/80jzC/LT8qbygfJe8jryGPH38dHxqvGF8WHxO/ES8O3wzvCu8IjwYPA78Bvv/+/j78bvpu+B71zvPu8m7w/u9+7d7sXur+6a7oXub+5S7jLuFe4A7fHt4e3Q7cDtse2i7ZPti+2H7YTtfe127Xftfe2F7Yntju2X7aLtrO237cnt4e357gruGe4s7kbuYu577pbuue7f7wPvJO9H723vlO+67+TwFPBB8Gjwj/DB8PzxMvFd8YTxs/Hq8h/yT/J58qLyzfL+8zDzWfN185TzxfQG9D/0ZPSB9KP0v/S+9J70gfSQ9OT1f/ZS9zr4Cfii+Qn5XPmn+d/59vn8+hv6b/rm+1b7pfvY/AL8L/xl/LD9Fv2H/eH+Gf5B/nD+nP6r/qH+p/7K/tP+dP2f/J/70PtG+tL6S/m6+Uz5I/k9+X75x/oC+iz6Ufp++rb67PsV+y/7QvtY+3X7lvu4+9j79vwU/Dj8ZfyO/Kj8s/zD/Of9EP0Q/MT8M/uH+vH6jfph+mH6efqU+qb6pfqI+lL6E/nk+dH50/nZ+dr50fm7+Zz5g/l++YP5dvlF+Pr4r/h1+Ez4LPgT9/z33fet92r3HfbY9qL2dfY49dP1RPSn9CPz1/PE887z0vPD87Tzw/Px9Cj0VPR99LH05vUD9Pj0yPSG9D3z+PO482fy5fIq8VDwbu+D7o3to+zP6+Pqoukb577m6uaD5hvlfuTe5IDkZ+Ro5HzkveU15cPmQuaq5wnnXOeX57Hnreea55Dns+ga6LrpdOoo6svrV+vK7C3si+zm7TLtaO2S7bzt3+3l7cztqO2R7Yjthe2F7ZLttO3j7hjuVO6a7ubvKu9b733vnO+/7+Hv+vAO8CfwSvBx8JbwvvDw8SrxYfGT8cryD/Jc8qXy5PMh82LzqPPz9EP0lPTh9Sb1afWy9gn2Z/bC9w/3UPeN98v4Bvg1+FX4cfiU+MP48vkg+U35ffms+dT59voa+kL6bfqY+sf69/sm+1H7fPuq+938Dfw6/Gf8lvzJ/P39M/1t/a399f4//ob+x/8I/07/mv/oADkAkADwAVEBqgH7Ak4CpwMDA1kDqgP7BE0EnATnBS0FcQWxBeoGGQY/Bl8GfQacBrwG2AbuBwMHHAc8B18HhQeuB9wICgg1CF8IiAiyCNgI9QkOCSQJOAlMCV8JcwmPCbYJ5woYCjoKSApJCkkKSApDCjcKLAolCiEKHQoaChsKHgohCicKMwpAClAKcgq6CygLnAv2DDQMcAy6DQMNMw1GDVQNbA2IDZANeA1GDQ4M2wytDIYMagxcDFkMVwxPDEAMMQwhDAkL4QusC3QLSAstCxgK/wrjCsgKsAqYCoEKcgptCmcKWgpJCkAKQAo9CjcKPApSCmwKdQpqClsKVApVCl0KdgqfCskK6gsMC0ALeQueC7IL2AwbDDQMFQvjC9IL7wwTDBkMCAv4C+MLsAtbCwMKwwqZCncKWAo+CigKDQnsCcsJrQmRCXkJbQlmCVEJKAkFCQwJSAmlCgwKcgrICvcK7wq7CnkKRgojCgYJ4wm4CYoJXQkuCPgIuwiACFEILggLB9wHogdnBzwHKQcuBz8HTAdMB0MHOwc6B0IHUAdbB1oHSQc1By0HLQcdBuwGnQZABeEFgwUtBOsEvwSiBIsEdwRqBGgEcwSFBJcEowSsBLoE1QT2BREFIQUlBRsFAATgBM4E0gTkBPcFCAUUBQ4E6wSxBHYESgQsBBAD8APJA5sDbwNQAz8DNQMoAx0DGAMXAw8C/gLpAtUCwQKuAqEClwKDAlwCLAIGAfQB8gH7AgsCIQI7AlMCZAJeAjEB4AF/AScA4wC3AKEAnACcAJQAfgBcADEABv/y//8ACv/i/5L/df/bAJsBJQEQAHv/2P9l/wX+if30/Wj88vx9+/77gfsS+qf6NPnA+Vf49/iS+CH3rvdB9tX2avYE9az1ZPUk9OP0nPRN9ADzxfOh84vzcfNR8zLzGvMA8tnypPJu8j/yGPH08dbxxPG98bjxq/Gb8ZrxsvHf8hfyUPKG8q7yt/KV8k7x7PFu8N3wUu/r77Pvle9670/u/e5t7abs5Oxy7GXsieyd7InsX+wz7AXrzuuM60rrDurb6q7qgepO6h3p+end6bvpiulV6Sbo8+iu6Ffn9+eO5xLmi+Yi5gPmNuab5v7nMOcX5sHmWuYL5dflpuV65Xblp+XZ5b/lTeTR5KHkxuUC5RvlDeTy5NrkxOSs5JXkfeRk5E/kRuRJ5FDkWeRn5HnkhOR/5GvkTOQl5ALkAeQz5IDkvOTW5PDlKuV65bbl0uXt5ijmdeam5qLmgOZj5lrmV+ZR5kjmPuYj5evlneVa5UHlVOV75Z7lt+XU5gDmOuZ45rHm2+by5vznCucz54Dn4Og46Hfomeiq6Lro0uj36S/pf+nr6mfq4etQ68DsPuy27Pfs5uyf7GTsY+yg7Q3tm+4w7qXu4u767xvvX++68A7wTfB68J7wwvDu8STxWvGL8cTyFfJ18sDy5PL18xnzXfOu8/X0KvRW9IH0qfTK9OX0/fUc9Ur1ifXa9jv2n/bz9yn3Svdy97T4Cfhk+MX5M/mq+hX6Zfqk+uj7P/un/BP8efzQ/Rf9VP2V/en+VP7L/zz/m//vAEoArQEIAU0BhwHNAiMCeALCAxUDgwP+BGUEsgT+BWYF4gZaBsQHLQeXB/YIOghvCKQI2Aj2CPkJAglMCfEK1gu2DFQMlgyCDDEL0gucC60L9gxIDIcMuwz3DTgNag2HDaQN0A4DDioOQA5VDnIOlQ6zDsoO3Q7sDvoPCQ8cDy4PPg9MD1oPZA9mD2IPZQ9xD34Piw+bD7EPxQ/QD9cP6BACEBcQJRA2EFQQcxCDEI4QrxDvETkRcRGUEbMR2RH/EhwSNRJUEnoSoxLFEtoS5BLsEv0THBM8E00TSRM7EzUTORM7EzQTMBNDE3UTrhPKE7oTlxN/E3oTbRM9Eu0SkBIuEboRIRBiD4oOqg3PDQ8MjAxmDJ4NGg24Dl4O7Q80Dw4Opw5sDqYPJA9rDz0O2Q6fDqIOpQ56DjoOEQ4ADeUNrg1qDSgM5QyXDEcMBgvZC7ALdgspCt4KrAqOCmsKOQobCi0KUgpECeEJVgjqCLQIowipCMkI7AjfCI8IIwfXB74Hzwf+CDMIOQfrB24HEAbpBscGjAZyBsAHUAedB1QGqwYWBdIF0gX+BkMGhAaYBm8GHQW8BVcE+AS2BJgEhARgBDkEKwQtBA4DvgN0A3YDvAPpA7QDNwLXAtgDHwNXA0cDAgLCAq4CtwLBArsCsAKnAp4CkwKOApQCnQKVAnoCWAJAAjICJwIbAhQCFwIbAhcCCQH/AgECCAIEAfQB6AHuAgECEQIUAg8CCAIBAfwCAAITAjMCUwJsAnkCdwJuAmwChAK1AvIDLANXA24DawNXA0MDQANPA2wDmAPJA+IDyQOMA2MDegPEBAwEKwQdA/YDwwOTA3YDcQN1A3EDYANPA0YDQwNBAz8DPgM9AzoDNgMwAygDIwMjAyUDHgMMAvcC6wLsAvIC+gMBAwcDCwMIAwAC9wLyAvEC7gLiAtECyQLPAtECvAKXAnkCXgIyAiMCvARhBrMIigjUB2wFFALAAPv/4v9X/yz/JP8V/vv+5/7c/sf+of5z/kj+Hf3t/b79lv1y/U79Lf0T/Pv83Py4/Jn8ffxg/D38G/v8+9v7tPuK+177L/r9+s76pPp8+lH6J/oB+dr5r/mE+WD5PvkT+Nz4pfh0+Ej4G/fv98f3oPd19033LfcS9vD2yfak9oP2XvY09gr14/W69Yv1WfUq9QD01fSm9Hb0RvQV8+XzuPOL81fzHfLk8rTyjPJn8kPyIvH/8dnxsvGM8WbxPfET8PDw0vCy8IvwY/BB8CbwDe/x79PvsO+J72TvRe8s7xfvAu7s7tjuxO6y7qDuie5p7kfuKe4R7f7t7e3e7dLtxu237ajtn+2Y7ZDthe1+7X7tg+2J7Y/tl+2h7avtte3B7dDt4u317gbuGO4s7kTuXu567pruvu7j7wXvJu9J73Dvl++87+bwGPBL8Hbwn/DQ8QnxPvFm8Y3xwfIB8j/ya/KL8qry1fMM80PzbPOF85nzvPP09DT0b/Sg9Mn05fTr9Nz0w/S19M/1MvXm9sj3nPg4+KD48vk/+X35nvmy+dj6KPqb+xX7efu6+9379Pwb/HD89/2J/fP+J/5K/nn+of6f/oL+jP7Q/v7+o/2o/HX7jPsb+u76vvpw+hf51fnE+ej6Kfpm+o36q/rW+xH7R/tm+3D7d/uH+6H7v/vd+/v8Gfw6/GT8lfzC/OD88/0O/Tj9Wf1I/On8SvuX+wH6qvqY+rX62frn+tn6uvqQ+l/6N/os+j36UPpL+i/6Cfnf+a/5jvmS+bX5y/mn+Ur42vh5+C/39ffI96D3cPcz9u/2rvZ29kL2D/XX9ZX1RPTx9LP0k/SG9HX0WPRC9E/0hfTN9Qf1I/Uq9Sf1IPUa9R31KvUu9Rv09/TR9J30NvOI8qzxx/Dp8A3vK+4z7QbrkOoG6MnoB+eD5uTmIeWH5U/lWuVx5ZDl5OZ+5zTn1ehP6KLoxuiu6GLn/uei52TnV+eD5+focukP6a3qQerE6z3rt+wv7Jbs4+0h7V/tk+2p7ZXtbe1R7U3tWO1k7XbtmO3L7gruTe6U7t7vIu9T73Lvi++s79Hv7/AE8BvwPvBn8I/wt/Dm8RrxS/F18aPx4PIr8nfyvPL78zvzgfPO9CD0cfS69Pv1P/WO9e32Tval9ur3Jfdg95/32fgC+Bz4N/he+JD4wvjt+RX5P/lr+ZX5v/np+hb6Qfpu+p36zfr5+yL7TPt8+6774PwO/D38b/yk/Nv9Ev1O/Y/91f4c/mL+pv7r/zT/gP/OACAAeADWATIBhwHYAi0CiQLkAzkDiAPYBCkEdQS8BP8FQQWBBbwF7AYSBjIGUwZ2BpwGvAbWBu8HDQcxB1kHggerB9kICwg7CGkIlQi/COQJAQkZCS4JRAldCXcJjwmpCc0J+worClAKYgpnCmgKZwpgClUKSgpBCjcKLwotCjEKMwoyCjIKNwo6CjQKOQprCtYLXwvZDDMMfgzKDQ4NNg1HDVkNgA2rDbwNoA1iDRgM0AySDGEMRAw7DD8MQQw4DCgMFgwHC/ILzwugC24LRwssCxcK/grkCswKtwqgCocKdgptCmcKWwpLCj0KMgolChwKJApAClsKYwpbClcKXwprCncKjQqvCtQK8QsQC0ALeQuoC8wL9gwjDAwL2guuC7AL2gv9C/sL4wvKC60LdQsjCs0KiwpbCjUKFwoBCe8J2gnECa4JlQl5CWAJVQlQCTsJFwj/CRIJUwmuChMKgQrnCyILGwrgCpYKWAomCfYJxwmhCYQJZAkzCO0InwhaCCoICgfpB7oHfgdBBxEG9wb0Bv8HCwcLBv0G6gbgBuQG8Ab3Bu4G1Aa0Bp0GjgZ8BlsGJwXmBZ0FUQUMBNUErgSRBHsEawRkBGIEYgRkBGoEdwSNBKsEywTmBPYE/QT+BPQE3QTDBLgEwATUBOgE9wT6BOQEswR1BEAEHQQDA+QDvQOSA2gDQgMnAxkDEAMHAwAC/AL3Au0C3gLPAr8CqwKUAoECcgJeAkACHQH/Ae0B5wHpAfEB+wIJAh8COQJEAigB3wGAAScA4wC1AJYAgABvAGAAVwBIACL/5/+8/8P/3v/L/3v/Rf+QAE0A8wECAIj/7/+D/y7+v/4v/Z79G/yX/An7g/sQ+qf6OfnJ+WX5Dfiy+En31vdk9vX2ivYm9c31hPVH9RH01fSL9Dvz+vPU88DzqPOK83DzY/NU8y7y6vKY8kzyE/Hv8d3x1vHR8cXxsfGe8Z7xu/Ht8iHySvJj8nDyb/JV8hbxq/Ec8H3v8e+W73Hvae9Z7yDuqO3v7R3seew17EXsa+x07FzsOuwS69zrmOtT6xfq4eqn6mvqL+nz6bnph+lc6TLpBujc6LjokOhW6Aznu+dj5vjmeOX+5bDlpeXZ5i/mfOaX5nTmMOXy5b/lg+VD5SXlP+Vm5U/k6uR75FDkcOSg5LDkouSO5H/kb+Rc5EnkNuQf5Anj++P24/bj/OQK5B3kKOQn5BzkBePe467jl+O14/3kSOR+5K/k6eUh5ULlXeWe5gnmbeaM5mLmIeX55e/l6eXY5cDlouVz5Srk2eSk5Kfk2+Uh5VvlgeWd5b7l7eYo5mfml+au5rjm0OcN52vn0Ogl6GHoheiW6Jzoo+i36NrpFOls6eTqbOrx63nsEeyp7QjtBey97H/sh+zP7TTto+4Z7obu1O8C7y7vc+/M8B3wWPCA8KLwyPD28SrxWvGG8b/yF/KA8tHy7vLp8vPzJ/N789D0D/Q59Fj0e/So9N31EvVF9X31v/YQ9mv2x/cV90v3cfef9+b4RPin+Qn5cPne+kP6kvrS+xv7evvp/Fn8vP0O/Uz9f/23/gv+f/8A/2//wwANAGIAxAEdAWMBowHwAkoCogL1A04DsgQaBHkE0wU5BbEGMwaxByYHkwf0CD8IdAieCMsI+wkkCUwJlAojCvMLyQxjDLEMygy8DIAMHgvPC80MGwx/DMkM/g04DXkNrA3MDewOGA5BDlsObQ6JDrIO2A7xDwIPFg8sDzwPRg9PD1sPaQ93D4IPiA+ID4cPiw+UD54Pqw+8D9EP4Q/qD/UQCRAhEDIQQBBXEHUQjRCXEKYQ0hEXEVoRhxGnEcwR9xIbEjMSSBJmEosSshLUEu4S/RMDEw4TJRNDE1kTXBNSE0cTQhNBE0ATQRNTE38TuRPhE90TuhObE5QTkRNvEyMSwBJWEd0RQBB/D7UO+g5KDZUM5gxyDHAM4g2PDjYOsA70DwAO5Q7PDuIPEw8rDwcOwg6NDnUOZg5PDjgOJw4LDdQNiw1JDRgM6QyzDHwMTQwmC/sLvwt1CycK5gqyCnwKOwoDCe4J8wnlCagJUQkHCNwIwgizCK0IpAiFCFkIPAg2CCgIAQffB+IH8wfdB58HbQdbBz0G9ga/BugHWgehB2sG2QZNBf8F7AYEBjoGbgZ7BlUGEgXIBXkFKgTvBNAEuASSBG0EYwRlBEgECAPjBA0EZASGBDgDqQM7AyUDRQNaA0IDFALzAusC7QLoAt4C1gLOAr8CqwKcApsCngKWAn4CXgJFAjcCLwIqAikCKQImAh0CEQIPAhsCKQIrAhsCCAH/AgICCwIUAhgCFgISAhQCJQJAAlkCawJ8ApECoQKmAqoCxAL7AzwDbQOEA4IDbwNUAzwDMgM6A1YDgwO3A9gD0gOxA5sDqgPSA/QD+APhA78DnQOHA4IDhgOFA3YDYgNTA0kDQAM3AzIDLgMnAx4DGQMZAxcDEgMRAxIDCwL3At8C0QLSAtgC3ALhAugC7wL0AvMC8ALsAugC4gLbAtgC4gL0AvYC1wKpAo4CggJkAkYCkQOfBSgGSAYyBOcDEwFzAFX/sf9l/0v/Pf8l/wj+9v7s/tX+rP5//lf+LP35/cj9oP19/Vr9Ov0i/Qz87vzL/Kv8kPxz/FH8MPwR+/D7yfuf+3X7RvsU+uP6uPqP+mP6OvoU+e/5xPmY+XL5T/ki+Or4sviD+Fr4L/gE99r3sPeE91v3Ofcb9vj20vaw9pD2bfZD9hr19vXR9aP1cfVB9RP04fSs9Hn0SvQc8+3zv/OR82DzK/L28sfynPJ08k/yLfIJ8eDxt/GP8WjxP/EX8PTw1fCz8I3wafBN8DXwG+/9793vuu+W73PvVO877yXvEe7+7uvu2+7M7rzupO6C7l7uQe4r7hbuA+3z7ejt3O3O7cHttu2q7Zvti+2B7X/tge2H7ZHtne2n7bDtuu3I7dft5e3z7gXuGu4v7kTuW+547pnuve7f7wDvIu9J73Lvme+97+XwGPBP8IDwq/Db8RLxR/Fy8Zzx1fIa8lfyffKS8qzy2fMU81Dzf/Of87XzzvP09Cj0avSv9On1EfUm9S71KPUW9Q/1OvWu9ln3Cfeb+BL4gfjs+Ur5kPnD+fP6MvqH+u/7V/ui+8T7zfvt/Ez84P1t/bX9vf3E/ff+OP5Q/kT+V/6h/tD+df15/EX7W/ry+u37Dfsg+wj6yfqK+nP6jfq5+tv6+Psk+1z7iPuW+5P7l/ut+9L79/wW/Cz8Qvxg/I38wfzt/Qn9Hf05/V79c/1Z/P78bPvD+y/63frb+wn7LPse+un6sfqN+nv6f/qg+tT69frl+q76avon+eT5sfmv+dv6Bfny+Zz5LvjR+JD4Xfgq9+33oPdL9wP20vat9n72QPYE9dL1q/WR9Yz1mfWi9Y71Y/VB9UL1YPV59Xj1YfVE9Sj1EvUL9SH1SvVk9Vn1NfUV9Pj0uPQ484XyxfIN8Vzwou/J7rntc+wq6x7qXumy6OjoIuew57Dn5+gR6DHofekL6brqV+rE6vLqzepS6afpBuiS6ELn/OfA56bnxegc6JTpFumW6hvqq+tC687sQeyb7OjtJ+1O7VTtRO047T/tVe1r7X7tmu3J7gruT+6R7tPvFO9J72zvh++n78zv7PAA8BLwL/BX8IPwrfDa8QrxOPFh8YzxxPIJ8lLyl/LV8xPzVvOg8/D0P/SK9ND1G/Vw9dD2L/aB9sL2+fcy93H3qvfS9+34CPgw+GH4kfi7+OH5CPkx+Vv5h/m2+eX6Evo/+m76nPrH+vH7H/tR+4T7tvvm/Bf8S/yC/Lr89P0x/XH9tf37/kL+iv7S/xz/Zv+zAAUAYAC8ARQBZwG5AhICbwLIAxsDagO4BAYETwSTBNQFFAVSBYsFuwXjBgcGKwZSBnoGnwa+BtwG/QckB00HdgehB9AIBAg6CG4InQjICO0JCQkfCTIJSQlnCYgJpwnECeQKCQoyClQKawp4Cn8Kfgp3CmwKYQpVCkYKOgo2CjsKQAo/Cj0KPwo7CisKIwpHCqsLOQvHDD0MnQzrDR8NLw0uDT4NbQ2oDcgNtg15DSkM1gyLDFMMNQwxDDsMPgwzDBwMAQvrC9QLtwuSC2sLTAs1CyELCgrvCtgKxAqvCpoKhwp8CnQKaQpYCkQKLQoZChIKIQo/ClcKWwpUClgKagp+Co4KoAq8Ct4LAAslC1QLhwu1C90MAwwbC9wLqAuJC5cLvgvTC8YLqQuMC2oLMgrlCpQKTgoVCesJ0QnDCbcJqAmaCY0JeglcCT8JMwkvCSMJDQkCCRoJVQmmCgcKdArZCxQLEArhCqYKbAorCeIJpAmDCXgJZQk0COIIhwg6CAkH6gfKB5kHXAcgBvEG1AbGBsUGygbJBrwGpwaYBpUGmwabBosGbAZFBiIGCAXwBdUFsgWHBVgFJgT2BMkEoAR/BGsEZARjBF8EUwRHBEYEVwR2BJsEuwTRBN4E5QTmBNwEyAS0BK0EtgTFBNAE1ATMBK4EeQQ+BBAD8wPaA7oDkQNnA0EDIwMPAwIC+QLvAugC4wLaAswCvQKyAqkCmQKAAmUCTQI2Ah8CCgH3AekB4AHfAeIB4wHjAfECDwIqAh8B4AGAASMA3ACtAIgAYQA4ABkAFAAcAA3/1/+d/5D/qf+r/3T/Q/95ABsAvADoAJQAF/+1/2P+9v5o/dT9Sfy6/CL7kfsW+qr6PvnS+XP5IPjL+Gf39/eD9xT2qfZG9ev1nfVg9S/0/vS99HL0MvQO8/zz5fPI87Pzr/Oq84XzMvLG8mDyGfH48fXx+PHx8d3xxfG28bjx0/IC8jDySfJK8j7yMPIT8c3xVvC68Bzvn+9W7z7vOu8c7r3uD+0y7Gjr9evq7BfsO+w67CbsEevx67frbOsn6vLqu+p26irp5Omm6WfpJ+jp6LDoe+hQ6DHoFefu57fndecs5tLmYuXp5YDlP+U25WPlsOXz5grl+eXT5aHlXOUN5Njk0uTX5LHkWeQJ4/fkGuQ85DvkJuQW5A/kBeP54/Hj7OPi49LjwOOy46jjo+Oq47rjyOPL48fju+Od427jSeNN43/jxeQI5EPkdOSS5Kbk2OVK5d/mRuZG5fjlpeV75W3lWOUu5PrkxOSJ5ErkHOQa5Evkm+To5R/lQOVY5XblouXg5iPmVuZu5nvmoObu51nnv+gQ6EvoeOiS6JvooOit6MLo4+kc6Xzp/uqO6y3r5Oyh7STtNezs7KXsqOzx7U3tpO4C7mruxu8H7zvvf+/X8CnwYfCB8Jvwv/Dw8SnxXPGJ8cTyG/KD8tLy6fLb8tfzAfNO857z1PPv9AL0JfRo9MP1I/V69cj2FfZk9rH2+vc893P3offW+CL4gfjk+UP5ovoI+mv6v/sG+1P7tPwj/JH88f09/XP9m/3M/iD+mP8W/3n/wQAJAGQAygEkAW8BugIRAm8CzQMtA44D7ARHBKYFFQWRBhIGkQcPB4kH8Qg/CHoIqwjXCQEJMQl3CeYKjQtmDD8M2A0WDSMNNg1HDRoMmwwWC+8MNwyoDP8NOQ13DbsN8A4SDjQOXw6EDpoOrw7TDv0PGg8kDzAPSA9kD3YPfg+ED48Pmg+gD6EPow+nD64Ptg+7D8IPzQ/eD/EQARAOEB4QMhBEEFIQZRCBEJ4QrhC1EMsQ/xFCEXwRohHDEeoSEBIsEkESWBJ4EpoSvhLkEwUTGRMfEyMTMxNOE2MTaxNlE1oTThNHE0UTRxNWE3sTtBPnE/UT3BO8E7MTshOXE1ES8xKOEhIRYxCHD7IPDg6MDfINLAx9DEsMvA2ODlQOzg8JDyYPNQ81DysPIg8WDvwO0w6kDngOUg41DiEOCQ3dDZ4NZQ1BDScNAQzNDKAMgQxlDDcL9wuvC2kLKgrzCrkKdwoxCfkJ1AmxCX4JQAkNCOsI1gjFCLMIlQhrCE0IVAhxCG0INAfyB9wH6wfrB80HsgesB5AHQwbzBuwHLgdmB00G8gaSBlEGLgYnBjkGUAZQBi8GAAXSBZ4FZQU1BRQE8QTBBJUEhgSMBIYEdASABMMFDwUWBLoELAO2A3YDXANLAz0DOQM+A0ADNgMkAxUDDQMGAvQC2gLBArICqQKcAogCcAJeAlUCUQJNAkUCOgIuAiMCHQIiAjQCSQJVAlMCRAIyAiMCHAIfAicCKwItAjgCUgJwAoMCigKZAroC4AL3AwUDHwNPA4ADmgOWA4EDaANQAzsDMAM2A04DdAOaA7IDuAO0A7QDuQO2A6UDjgN+A3kDgAOTA6sDtwOoA4cDawNfA1YDRgMyAyQDHAMQAwMC/gMDAwYDAQL8AvoC9ALkAs4CwAK+AsACwwLJAtIC2wLgAuMC5ALlAuQC4gLhAuYC9gMJAwkC6AK5Ap0CkgJ3AkgCSQK+A34D9gOpAqsBgACVAAP/r/+A/2j/Uv81/xn/Cf76/tz+sf6I/mX+PP4J/df9s/2T/XD9Tv00/R38//zb/Lv8ofyF/Gb8Rvwo/Ab73vu2+4/7ZPsz+wD60vql+nb6Sfoi+f751vmq+YL5W/ks+Pb4wfiV+G74Rvgc9/P3x/eZ92z3SPcn9wP23fa79p32evZR9ir2B/Xh9bT1g/VU9SX07vS09H/0UvQp8/zzy/Oa82jzNfMF8tjyrPKD8l3yOfIT8efxuvGQ8WnxQ/Ee8P7w3vC68JfwefBi8EvwLvAM7+rvye+p74rvbO9Q7zjvI+8R7v/u7+7h7tPuu+6Y7nTuWO5D7i/uGe4H7fnt7e3f7dPtyO257aPtj+2D7X/tf+2F7ZPtpO2u7bTtvu3P7eDt7O357g7uKe5A7lLuZO5+7p3uve7c7vzvIu9P733vpe/G7+nwGPBP8ILwrvDe8RbxTvF/8a3x5fIl8lzyfPKQ8q3y3PMX81LzhfOx89bz8fQI9Cj0X/Sp9PP1LPVX9Xv1l/Wf9Zj1nvXK9hz2gPbv93D4Bfii+Tb5tPoY+lv6hfqv+u/7RPuN+7D7ufva/Dn8wf0q/Tz9Ev0A/Tv9nv3m/gj+Mf5x/oj+Jv1H/Dv7YPrm+tf7IvuR+9L7sftP+vf62vrq+wf7K/tc+5L7tfu5+6/7tPvS/AP8NPxV/GP8bPyE/LT87f0Z/S/9Ov1I/Vb9Uv0w/Of8evvy+2/7IPsd+0f7W/sw+uD6pPqY+q361/sU+1r7hPt2+z76//rF+oT6Q/ok+jP6TPo6+fP5n/lh+T75IPjz+Kz4Tffv97T3pveq95r3afcq9uv2sPZ+9mX2Z/Zv9l/2OPYS9f318/Xh9cT1q/Wf9Zv1l/WX9aD1q/Wk9YL1UfUj9Pb0tPRL88HzKPKM8fPxYfDO8CDvR+5X7XnsvOwN613q1eqs6uXrPOtx64LroOvp7E7squzf7NTsc+vK6xXqmepc6iHpo+jl6C7nxOe25+boNOiX6Rbpsupg6w7rquwl7H3svOzs7RDtJu027UztbO2M7aTtve3n7iLuX+6U7sjvAu8772jvi++v79jv+vAL8BXwKPBL8HjwpfDR8P3xKvFX8Ybxu/H48jryfPK68vfzNvN688P0DfRZ9Kj0/PVU9az2AvZQ9pP2zfcF9zz3cPea97z33/gJ+Db4Y/iN+Lb43/kG+S35V/mC+a752/oK+jn6Z/qT+sH69Psq+177j/u++/D8Jfxc/JX8z/0M/Uz9kP3W/h/+a/63/wL/TP+Y/+wARwCiAPcBSAGcAfUCUAKmAvkDSAOVA94EJQRqBK0E7AUoBV4FjwW7BeQGDQY3BmAGhgaqBs4G8gcZB0IHbAeYB8gH/AgzCGoInwjNCPMJEQknCTkJTglpCYsJrwnSCfQKFQo1ClAKZgp5CoYKiwqHCn0KcApiClEKQgo8Cj4KQQpBCkEKQQo7CisKIgpACpcLHAuxDD8Mtw0JDSgNGg0EDQwNQA2HDbgNtw2GDTYM2AyBDEEMJQwoDDkMQAwyDBML8AvQC7QLmAt7C10LRAsxCyILEAr6CuQK0QrACq8KnwqRCoUKdwpjCkgKLQoaChsKMApNCl4KXQpXClwKbgqECpYKpwq+CuELDgtAC28LlAuzC9IL8Qv6C6ULeQtmC3ULjQuPC3kLWws8CxcK4wqkCl4KFwnWCaoJlwmSCYsJfQlxCWgJWAk7CR0JDwkOCQ0JBgkGCR0JTwmXCfYKXwq2Ct0K0wqzCpEKZQocCcEJeAlaCVsJVAkoCNcIeggsB/sH2we5B4UHRgcOBuUGyAavBpoGjAaDBnYGZwZaBlUGUwZMBjcGFQXqBb8FmgV/BWkFUwU5BR8FBgToBMMEmARzBGAEXgRfBFcERgQ2BDcESwRsBI8EqwTABNAE3gTjBNkEwwStBKMEpgSqBKkEogSUBHcESQQVA+sDzwO3A5sDdgNOAykDDwMBAvgC7QLgAtQCygK8AqcClAKMAowChgJxAlACKwILAfYB7AHlAd0B1AHQAc4BxgG7AcAB3QH/Af8ByQFtAQ4AxQCVAG0APAAC/9T/zP/i/+z/yf+N/2r/cf96/2P/Sf9x/+wAdACxAI8AQP/x/5v/JP6O/fT9ZfzX/EH7rfsq+rb6SPnf+YH5MPjc+Hv4D/ef9zH2x/Zj9gj1uPV59Un1HfTm9KT0bvRR9EX0MfQV9ADz/PP088nzbvL18oPyNfIW8hbyGPIM8fnx6vHl8ejx+fIc8kTyVfJH8inyCvHc8YTw+fBY78fvYe8r7xjvCO7J7jbtVexk67frf+um6+Tr/+v06+Lr1eu864TrO+r86szqlOpJ6fnptul86Tzo7uiY6ELn8+e255Pnhed151XnIubh5pPmNeXM5WPlCOTO5MXk8uU75XrllOWI5VvlF+TO5JjkeuRY5BPjueOB44rjuuPX48zjr+Oc45LjiOOA44TjkuOZ45PjhON042PjVeNV42LjceN243LjaeNV4zPjEOMD4xnjR+N746rjzOPi5AbkYOT75Z7l8eXU5XflJ+UD5O3kv+Rz5B/j0uOW43Xjf+O85BnkcuSx5NXk7+UM5TPlZeWj5eTmGeY45lHmhObe507ntOgD6EHodeia6Kvos+i86Mjo1uj36T/psOo66tvroex47R3tSe0I7Lnssuz37VPtpe357l7uwe8I7zzvfO/S8CjwYfB+8JTwt/Dt8SvxZPGY8dXyKPKH8s7y6PLl8uvzEPNK84DznvOn87Tz3vQ19K31LvWn9hP2c/bC9v/3M/do96D31vgR+Fz4uPkZ+XT5zvor+or64Psu+4L75PxS/Lz9F/1d/Yn9p/3T/iT+lP8D/1n/of/4AGMA0AEsAX4B2QI9AqEDBgNvA9gENwSQBPkFdwX8BnQG5wdhB9kINQhzCKoI5wkfCUgJfgntCq4LsQzADZEN7w3pDdMN6A4BDb0NBwxNDA8MWwzTDSsNZw2wDgIOPQ5cDnoOow7HDuAO+Q8dDz4PSw9ND1wPfQ+eD64PtA+7D8YPzA/ID8EPwg/MD9oP5A/pD/EP/hAPEB4QKxA5EEsQWhBlEHQQjRCsEMMQzhDbEP4RNxFzEaERxBHoEg0SKhI+ElMScBKREq8S0BL3ExsTLBMtEzATQxNeE3ITehN5E3MTZxNbE1QTVBNeE30TtRPyFA4T/hPeE84TyhOwE28THRLJElURmhChD7IPDg6nDicNXgyLDC8Mkw17DmMO8Q8wD1MPcA94D2UPTQ9ED0IPLw7/DrwOew5IDiEN9A26DX8NWA1LDT4NGgzkDLgMoQyKDF0MGwvVC5YLXgspCvYKvgp/Cj4KAgnJCY8JVgkoCQwI/Qj2COoIzAidCHUIbwiECIgIYggtCBMIEQgFB+YH0AfRB8IHhQc1BxAHJwdJB0QHGwbqBr4GlQZ3BmwGbwZoBk4GKgYDBdgFqQWABV0FMATyBLgEmwSfBLQE2gUaBWgFlAV0BQ4EkAQjA84DjwNsA2sDggOWA5QDfgNmA1kDUQNFAywDCgLoAs4CvQKvAqECkgKJAocChwJ/AmwCUwJAAjYCNwI+AkwCXgJvAnoCeQJrAlQCQAI3AjsCQwJLAl4CfgKhArYCwQLYAwYDOANYA2cDeQOWA6sDpwONA28DXANQA0cDQgNLA18DdAN8A3gDdwOIA6UDswOjA4EDZwNlA3EDgwOfA78D0AO+A5UDdQNqA2MDTwM0AyEDFQMHAvYC7wL1AvoC9wLvAuoC5ALWAsICswKrAqoCrAK3AscC1ALYAtcC1QLWAtgC2wLgAucC8gL+Av4C6ALCAqICjAJqAjECBAIOAj8CSgH1AVYAtwBF//r/wf+X/33/Z/9L/zD/G/8F/uH+tv6R/nL+Sv4X/en9yf2t/Yr9Zf1J/TD9EPzs/M38tPyZ/Hv8Xfw//Bz79PvN+6n7gvtS+x/67vq++oz6XPoz+g/56fm++ZP5aPk3+QL40fio+IL4Wvgy+Av34Pev93/3Vvcy9w326PbG9qf2hfZe9jj2FPXt9b/1kPVk9TX0/fTA9Iv0YvQ89BLz4vOu83nzRfMU8ufyvPKT8m7ySvIh8fLxwvGX8W/xS/Ep8Qrw6/DI8KjwjvB58GHwQPAb7/nv2+++76Hvg+9l70vvNu8k7xHu/u7v7uHuyu6p7obua+5W7j/uJu4S7gPt9u3o7d3t0+3D7avtlu2L7Yfthe2K7Zrtre247bztxe3Z7e3t+e4H7h/uP+5Y7mjueO6P7qnuw+7e7wDvLO9f74/vt+/V7/TwHvBQ8IHwrfDd8RfxVPGJ8bjx6vIh8lDycfKN8rPy5fMa80vzevOu8+P0CvQg9DP0WfSa9On1MfVv9a316PYU9ir2L/Yx9jj2S/aA9uj3gfg1+O/5ofo4+pn6wPrP+vL7Nft9+6v7w/vt/EH8qvzr/N/8q/yc/Nr9RP2g/eH+H/5W/lD95f0p/FX7k/r8+sH7B/ul/Cf8K/u/+0P7Avr8+xT7O/tu+6L7wvvJ+8n71fv4/C78ZvyL/Jb8lvyp/Nv9F/1B/VP9Wf1Y/Ur9JPzr/Kr8X/wB+537WPtQ+2v7b/s7+u/6xPrN+vL7HftP+4X7pfub+3z7avtm+037Fvrd+sL6uPqa+lz6Gfnq+c/5tfmL+Un49Pio+In4pvjj+RD5Fvj0+K34Q/fI91/3H/b/9uX2wvab9nn2XPZI9kT2UPZj9mz2Y/ZK9iH18fXD9Z71ePU59M70Q/O480Dyz/JR8cjxUfD68KjwLu+A7sPuJO207W3tVO137dDuLu5e7lHuKe4N7gfuDO4A7crtXezS7GvsWex+7G7r0Oq26Yvor+gy5+7n0Ofr6FHo8emt6nHrLevJ7DLsceyj7NntDe007VXtee2f7b7t2u4C7jbuaO6Q7rbu6O8j71nvhu+z7+LwCPAb8CDwK/BH8HPwofDM8PPxHfFM8YDxtPHr8ibyZPKk8uXzJvNo86rz7PQ29Ir04/U39YT1zvYZ9mT2p/bd9wv3Nfde94n3uPfm+BL4O/hk+I74uPjf+QP5J/lL+XP5n/nS+gT6NPpi+pT6yvsC+zT7ZPuU+8f7/Pwz/Gr8o/zg/SH9aP2x/fz+Sf6X/uX/MP9+/9IALACFANcBJwF7AdECJwJ8As8DIANsA7MD+gRBBIYExwUCBTkFbQWeBcwF+gYmBk8GdQadBsUG7QcUBz0HaQeYB8YH9AgoCGAImAjKCPMJFQkvCUUJWglxCYwJqgnOCfQKFwozCkUKVApmCnkKhwqLCoMKdQpkClMKRwpBCj8KPgo/CkMKRgpACjMKLwpLCpMLBQuYDDYMvg0ODRcM8gzRDNoNEw1iDaANsg2NDToMzQxlDB4MAwwNDCMMLAwbC/gLzwusC44LcwtaC0ILLQsdCxELBgr5CugK1wrJCr0KrwqgCpEKgAprClAKNwosCjYKTApiCmoKZwpjCmYKcQqBCpMKpQq+CuULHAtXC4ILlAubC60LxAvGC3QLTQs+C0cLTAs+CyELAQrfCrYKiwpfCisJ6gmnCXoJawlsCWYJVwlLCUIJNAkdCQcI+wj6CPwI/QkDCRcJQQmKCe8KWgqgCqsKjQprClUKNAnvCZEJRgkoCSoJJwkECMAIbwgpB/oH2we3B4IHQgcLBuYGyAakBnsGWAZABjIGJwYgBhwGFgYJBfEFzgWhBW0FQAUjBRUFCwT9BO4E4ATNBK8EigRpBFgEVQRUBEsEPgQ3BD8EVQRzBJEEqgTABNYE6ATwBOIExASlBJMEjQSJBIAEcgRiBEgEIgP1A8sDrAOYA4YDawNFAx4DBAL4AvIC5ALPArsCqgKVAnoCZAJfAmYCaQJaAjcCCwHkAc4BzAHQAc0BwQG0AagBmQGLAYwBpAHBAb8BiwE1ANsAmABsAEYAFv/X/6L/k/+o/8D/sv+C/1T/Rf9H/0H/Of9S/53//AA8AEkAMwAH/7r/Pv6e/f39bfzn/Fz7z/tJ+s/6XPny+Zf5RPju+I34I/e390725/aG9i714vWk9XX1T/Uj9PH0x/Sx9Kj0l/R79GH0UfQ69APzpPMt8r7yb/JK8kDyO/Ix8izyMfI28jLyMPJE8mbydPJc8izx+PG18UXwqPAE74LvMe8K7vru2u547bTsreu66zTrLetv667rvuus65jri+tx6z3q/urI6prqYuoa6dHplOle6Rzoxehe5+7ngOcn5vbm6+bs5t/mu+aG5kLl9OWd5UTk6uSX5F7kWOSG5M3lBOUR5PPkvuSL5GXkP+P945XjK+L44xLjUeN343DjU+M64ybjEeMF4w/jKOM840DjOeMu4yDjEOMK4xTjJeMp4x7jDuMA4u/i3OLP4tHi4uL84xfjM+NY457kGOS25T3lbuVF5PfkvOSb5HLkJuO+41Pi++LH4sfjBeNx4+PkOORk5H3knOTL5QLlOeVy5azl5OYT5kLmhObj51Hnt+gJ6E3oheiu6MTozejR6NPo2Ojt6STpfens6nbrLuwI7MDtCezh7J/snOzo7U7tqO387l3uvO8C7zTvcu/I8CHwX/B/8JjwvfD08TLxb/Gq8ezyO/KN8s3y8vMG8x/zQfNk83vzg/OJ85/z0/Qt9KX1LvW89kX2vvcV90v3cfec99H4CPhA+IX43fk/+Z759vpM+qL69PtH+6X8EPx+/OP9M/1q/Yz9p/3T/iL+iP7s/0H/mQAIAIMA8QFKAaQCDgKBAusDUAO6BCUEhwTpBV4F5QZgBsYHLAelCBoIawifCNwJKwlsCZUJ1ApqC2gMng3ADoUOyg6tDoYOhg52DfcNEAxMDCsMmQ0aDWQNmQ3rDkwOjQ6pDsIO6Q8PDykPPw9ZD2sPbw92D5EPug/YD+MP5w/xD/0P/g/2D+4P8A/8EAkQFBAeEC0QQBBOEFMQVxBhEHAQfBCGEJkQtxDUEOQQ7hEHETgRchGhEcMR5BILEi4SRhJZEnISkhKuEsYS5xMQEzATNhMvEzYTUxN0E4UTiROLE4wThBN1E2wTbBN3E5MTyhQLFCwUHhP6E+cT5BPOE5ITSRMCEpwR5RDiD+IPMA7GDksNfgySDBAMVA01DjAO3w89D3gPog+wD6YPqA/JD+4P5A+bDzAOyg59DkUOFQ3jDa4NgA1fDUINHQzwDMgMrgyUDG0MNQv4C70LhQtPCx0K7Qq5Cn8KRAoJCdAJngl3CV8JTwlFCTkJIgj3CMMInwiXCJcIhwhmCEgIMwgbB/4H7QfxB/AHyweNB10HUQdVB04HOAcdBv8G3Qa/BrAGsQavBp0GegZJBhMF4QW4BZQFZgUnBOgEvASxBMsFDwVuBb4FywWLBSMEwwR4BDID8QPHA8MD0wPZA8UDpwOQA4YDfQNpA0oDJgMFAusC2QLLArwCrgKnAq0CtgKyApsCegJiAlkCWQJaAlsCXgJoAnYCgAJ+AnACXAJPAk8CVgJhAnYCmgLEAucDBgMrA1wDhwOcA6ADpQOtA6kDkANtA1UDTgNRA1UDWwNpA3kDfQNtA1ADRANaA4cDpgOjA5MDkgOhA6cDmwOSA6IDuQO4A5sDfgNxA2kDVQM5AyQDGAMKAvgC7gLyAvoC+gL0Au4C5QLUAr4CrAKgApgClwKiArYCxwLMAskCxALAAsACxALMAtIC1ALWAtgC0QK6ApkCdgJNAhgB3gGyAZQBawEkAM0AfwBBAAj/0v+s/5f/hf9q/0r/Lf8P/uj+v/6e/n7+Vf4k/fz94P3F/aD9ev1c/UH9Ifz+/OD8xvyr/I38cfxU/DL8Cfvi+8D7mvtr+zf7BvrW+qT6c/pJ+iX5//nW+ar5fPlK+RX45fi8+JX4bPhE+B739ffF95L3Zfc+9xj29PbT9rT2kvZr9kb2IfX49cn1nPVx9UL1DPTT9KH0efRV9C30AfPQ85rzYfMs8vzy0fKp8oTyXvIz8gPx0vGl8X3xVvE08RXw9/DX8Ljwn/CI8G3wS/An8Abv5+/L77Dvk+9171rvRe807x/vCO7z7uPuze6w7pHueO5h7kbuK+4Y7gzuAO3x7ePt2O3J7bTtpO2e7Z3tmu2b7ajtue3D7cjt1e3s7gHuDO4Y7jDuUO5p7nvuje6j7rruzu7n7wrvOe9s75vvwu/h8AHwKfBY8IbwsvDh8RrxVvGL8bnx6PIY8kTyavKP8rzy8PMg80jzb/Oh89z0EPQw9EP0XvST9N/1LvV59cH2C/ZP9oT2pfat9p32g/Z/9qz3D/ed+Ev5DfnC+kH6f/qc+sz7IfuH+9v8GfxR/JH8z/zv/Oj81/zm/SD9Zv2j/d/+Kv5k/lH94v1D/KD7+ftN+tn66Ptv+/b8Dfu1+0b7B/r++xL7Nvtn+5T7sfvB+9P78vwe/FX8jvy2/MP8xvzd/Q79Qv1h/W79d/15/V79G/zE/HL8Lvvs+6r7fft4+4n7iPtj+zH7G/sl+zf7QftL+1f7VvtC+zj7V/uS+7T7n/tr+0H7KfsI+tH6jvpR+h/58/nL+Z/5a/k8+S75Vfmn+gD6QvpU+iT5rPkH+Gb36/eb92X3N/cH9tb2rPaa9qb2uva69pz2a/Yp9dX1fvVM9VL1YvUm9HXzg/K18j/x/fGu8UDw2PCZ8G3wGe+H7uLud+5o7pru3+8l73Xvwu/l77/vXe7y7qbue+5W7iDt0+2P7YTtzO417k3twuyv64Dqgump6M7oB+ej58/oZekj6erqtetv6/fsRex67LXs9e0m7UrtbO2R7bPt0+377ivuVu527pbuw+787zbvau+e79TwAPAX8CDwKfBC8Gvwl/C/8OHxB/E28Wzxo/HY8g3yR/KH8svzE/Nb857z3PQh9HL0zPUe9WL1ofXp9jr2hfa+9uT3A/co91j3j/fE9+/4FPg5+GH4iPit+NH49PkX+T75a/mh+df6Cfo4+mv6oPrV+wb7Nvto+5771fwM/EL8e/y4/P39SP2V/eD+LP55/sf/FP9j/7cAEABlALYBBQFWAakB/AJQAqUC9wNEA4sD1AQdBGMEowTgBRwFVAWHBbkF6gYXBkAGZwaRBr0G6AcRBzwHaweYB8EH6QgZCFIIjAjCCO8JEwkwCUwJaAmCCZgJqwnECeYKCQoiCi4KNgpEClkKcAp+Cn4KcApaCkkKQgpBCkAKPgpBCkkKUApMCkMKRwpjCp8LAguODDAMtwz2DOkMvAyiDLcM8w1BDYcNqA2ODTUMtgw8C+sLzQvVC+gL6wvXC7ILjQtvC1gLRAszCyYLGAsKCv0K9QrtCuIK0wrGCr0KtAqoCpsKjAp5CmMKUApMClgKaQp0CnYKdgp2CngKewqECpUKrArJCvILKgthC34LewtyC3wLkQuTC1ILLgscCxgLDArxCs8KrQqFClkKNgoaCfcJvgl/CVQJSAlHCUAJMwkoCSAJFQkHCPwI9wjzCO0I7AjyCQQJKwl3CecKWQqZCpAKWwopCgwJ7AmwCWAJGgj3CO0I4wjICJgIWwggB/QH2Ae4B4YHRAcIBt4GuwaRBl0GLwYQBf0F8wXtBekF4QXPBbQFkAVfBSME7QTOBMcExwTBBLUEqgSgBI0EcwRZBEoERgRGBEYESQRTBGMEeASRBKsEwwTZBO4E/gUBBOsEwwSbBIEEdwRwBGMEUgQ+BCYEAgPVA6cDhwN4A3IDYgNCAxwC/wLzAuoC1gK5Ap0ChgJsAlACOgI0AjoCPgIzAhYB7QHHAbEBrwG2AbUBpQGOAXgBZQFaAV8BcQF9AWgBKwDWAIcAUQAyABf/7/+4/4T/bf95/5D/kv92/0z/K/8d/xf/Ff8d/zj/Yv+Q/7n/1P/V/6T/Nv6d/f39bfzs/G377ftv+vX6f/oU+bf5ZPkJ+KL4NvfO92z3Dva29mX2HfXh9bf1nPWF9Wr1TPU49Sv1GPT69Nf0tPSJ9EXz5vN58xPyxvKc8ozyiPKJ8pTyofKe8oLyZvJp8oLyhvJe8hzx2vGL8RDwbO/K71PvD+7z7ufuwO5D7VnsOOtO6ujq/OtB63Lre+tr61brP+se6u/quuqJ6lnqIOne6ZvpYOko6Ofolegw57fnNebB5njmXOZZ5lXmQuYf5evlp+Va5Q/kxORw5Brj4ePh5BbkWeR/5HzkYeRI5DPkC+O14zPit+J84pfi3uMW4yLjEeL44tziu+Kj4qbivuLV4tzi2+LZ4tPixuK94sXi1uLa4sjisOKi4p3imeKT4pDileKh4rfi3eMf44Dj+uRw5LzkzOSs5H3kUeQh49jjdOMD4pniSOIl4kLioOMh45bj4uQK5CnkWeSZ5NrlEeVD5XrlueX85kPmk+by51vnwOgW6Fzok+i86NXo3+jf6Nno1+jn6Q7pSemR6ffqk+tg7B3sgOx/7GDsdezQ7UPtpe357lDup+7t7yXvae/E8CDwY/CK8KfwzfD/8TjxdPG38gHyT/KY8tTzAvMq81DzbvN+84LzifOe88Xz/vRK9Kv1I/W19lT25/dT95H3uPff+Az4OPhk+J748flW+bz6Gfpw+sH7Eftp+8/8Qvyw/Qf9Qf1m/YT9qP3j/jj+nf8D/2f/1QBTAM8BNAGKAeoCYALZA0IDoAQCBGgEzAU5BboGQQavBwYHaAflCFoIpgjbCSMJegm4Cd0KKgreC/MNKQ4+DvsPQg8lDusOwQ53DcMMzAwqDEwM7w18DbcN4A41Dp4O4g77DxUPPw9mD3sPhg+RD5YPmA+pD80P8hAFEAoQFBAnEDQQNBAtECoQLhA0EDsQRBBVEG0QghCKEIQQfxCEEJIQoBCuEMYQ5hD9EQYRFBE7EXURqRHJEd8R/hIlEkcSYRJ5EpYSsRLEEtsTARMvE0kTQxM3E0MTahOME5UTkBORE5UTkROFE34TghOQE60T5BQkFEUUMxQPFAIUCxQBE8wTghM6Et0SNhFCEEUPhg8DDm8NjQyLC+0MFgzpDe0OuQ89D5cP0w/rD/YQJBB+EMUQrxA2D5YPDg6xDnwOZA5UDiwN3A1+DTcNEwz6DNgMrwyLDG0MSwwdC+gLsAt7C0kLFgriCqwKeApIChwJ+gniCdAJugmeCYMJawlJCRYI4QjBCLYIqAiHCGEISghBCDoILwgoCB8IBwfaB6gHfwdjB0YHJQcHBvAG3gbSBs4G1AbZBtAGrgZ2BjgGAwXZBbQFiwVcBSsE/QTaBNsFEQVsBbEFrAViBQoE0QS1BJMEXwQrBA4EAQPwA9IDsAOZA40DgQNtA1MDOAMhAxADAQLwAtgCvgKxAroCzgLWAsQCowKJAn4CeQJwAmECVAJPAlMCXQJkAmMCXQJbAmECbQJ5AosCqQLVAwcDOgNrA5MDpgOiA5YDkAONA30DYANEAzoDPwNMA1kDaAN6A4cDiAN3A1sDSQNTA28DgwOFA4sDrAPVA9sDrgN5A20DiQOlA6IDjAN6A2wDWAM+AyoDHgMSAwMC+QL8AwQDBgMCAvkC6gLVAr0CrAKfApQCiwKNApkCqAKxArQCsgKsAqcCqQKyArcCsQKqAqoCrAKiAoMCWQIwAgUB0gGXAVoBHwDmALMAhABSABv/6f/M/73/qv+K/2L/Pf8Z/vH+y/6q/on+YP4z/hD99v3Z/bL9iv1r/U/9Lv0K/Oz80vy1/Jj8ffxk/ET8HPv1+9P7rft++0r7Gfrq+rr6i/ph+jz6F/nv+cb5mPlk+S74/fjT+Kr4f/hW+DD4Cffb96j3efdO9yf3A/bk9sb2o/Z89lX2L/YF9dj1rPWC9VX1IvTw9MP0m/R09Ez0JPP288DzgvNI8xTy6PK/8pnycfJF8hTx5fG68Y/xZPE+8R3xAPDi8MTwqfCO8HHwUPAv8BDv8O/T77nvoO+F72rvVO9A7yjvCu7w7truxe6r7pLufu5p7k3uMe4h7hruEO3+7evt3O3N7b7ttu237bvtue237bztx+3O7dXt5u4A7hXuH+4o7jzuV+5v7oTum+627szu3e707xfvQu9u75jvwO/l8AzwN/Bm8JPwvvDu8STxW/GO8b3x7PIc8kfybvKW8sby+fMp81HzdvOh89b0DfQ49FP0bfSb9OL1NfWF9c32EvZW9pr21/cC9w32+PbZ9sn22/cZ94z4LfjX+V/5ufoD+mv6/Puh/Dj8rvz9/Sr9Pv1D/Un9Yv2U/cf94f3s/hP+Zv6y/qv+Rv28/Tv8qvvy+0X6/fsq+3n7i/tb+yH7B/sI+xz7Qftz+5z7sPu/+978D/xI/IT8ufze/O78/f0h/VT9ef2C/YL9jv2a/YT9OvzN/GT8Evva+7f7qfuw+737uvuj+4b7dftu+2X7VvtI+zj7Gfrv+uD7DPtj+6j7tvuc+4T7e/ts+0L6/vqu+mL6KPoI+fz57vnT+bj5tfnX+hn6YfqN+nr6IPmX+Qj4jvgt9+H3ovdf9xH2w/aL9m32S/YJ9bH1X/UT9Lz0ZfRJ9Iv04vTJ8/7y0PHV8V3xPfEX8MHwXfAV79/vi+8D7nvuQO5y7t/vOe9o747vwu/g77fvR+7O7oLuZu5Z7kTuLO4n7k3upO8N7znu8e5J7YzszuvS6mvo4ufS55XoAeit6WfqMOsA663sHuxm7Kbs5O0X7T3tX+2C7aPtwu3p7hXuO+5X7nTune7R7wbvO+90767v3e/88A7wHfA18Fbwe/Cf8L/w5PEV8VDxjPHE8fjyLPJl8qXy7/M/84rzy/QL9Fj0sfUF9Ur1hvXJ9hf2Y/ad9sH22vb59yj3YveZ98T35vgJ+C74U/h3+J74x/jw+Rn5Sfl++bX55/oW+kb6efqq+tr7DPtD+3v7s/vr/CP8Xvye/Of9Nv2F/c/+F/5h/q3++f9G/5r/8QBHAJgA6AE4AYkB2QIrAn4C0AMdA2gDtAP+BEIEggTDBQQFQAVzBaMF1AYDBiwGUwZ9BqwG2gcHBzYHZAeOB7IH2AgKCEUIhQjDCPoJIgk7CU8JagmLCaUJtAm/CdMJ7woGChIKGQolCjcKTgpjCmwKZApOCjsKNgo7CkAKQQpGClAKWApYClcKZAqECrsLFQubDDUMqwzQDLEMhwyCDKQM2g0aDV4NjA18DR8MkwwNC7ILiAuDC4gLggtqC0oLLwsfCxYLDwsOCxELEAsECvQK5wrgCtcKyQq7CrMKrwqrCqQKmwqPCn4KbwprCnIKewp/CoAKhQqNCpIKkgqYCqwKxwrkCwYLLwtTC10LTQtBC08LagtuCzgLGAsCCvAK1QqwCowKaQo/ChQJ9QnfCcAJiwlSCTAJJgkkCRwJEwkOCQcI+wjyCPII9AjrCNsI0QjVCOcJDAlWCcQKNgp1CmsKLwnxCccJpAl0CTcI/AjPCLEImgiDCGQIOQgIB+AHxgetB4AHPQb3BsAGlAZoBjkGDwXyBd0FzgXEBb0FsAWZBXoFUgUdBNsEnQR6BHQEewR7BHYEdAR2BHMEYwRMBDoENAQ8BFAEawSHBJ0ErgTBBNcE7AT8BQgFDgUIBOsEvASPBHQEagRiBFMEPQQmBAwD6AO4A4cDZwNbA1oDUwM7AxoDAQLxAuACxAKhAoECZwJOAjMCHQITAhECDgICAe4B0gGzAZkBjQGMAYoBfQFnAU4BOwE1AT4BSAE+AQ8AvwBnACL//f/x/+j/z/+j/3T/WP9X/2f/cv9q/0r/IP7+/vD+7/7v/un+5f70/xn/Sv9q/1v/Dv6R/gH9dfzy/HX8AfuU+yX6sfpA+d75ifks+L/4Tvfo95D3P/bx9qj2YvYl9fz17vXy9fH14vXO9bv1o/WB9VX1IfTm9Jv0P/PZ83bzKvME8v/zCvMW8xvzD/Lm8qPybfJh8m3yXfId8cvxiPFB8NHwN++g7zLu9+7l7uXuv+4v7SPr7usN6r/q3esW6zfrPes06x7q++rR6qTqdupD6grpzumQ6VLpFejZ6JzoWegD55LnDOaJ5iPl5+XL5cHlvuWz5ZLlVuUK5MbkiuRD4+XjiONX42fjoOPW4/Hj9uP24+3jxONk4tviV+IS4iLiZuKp4sviz+LF4q7iieJl4lbiYOJv4nHibuJu4nDibeJp4m/ifeJ+4mniTeI84jniOuI54j7iTOJj4oTivOMT433j3OQW5CbkHeQN4/Pjw+Ny4wrin+I/4ezhs+Gn4dviSeLN4z3jh+O44+fkJeRq5Kvk4eUU5VDlmeXs5kPmnub8517nv+gW6Fvojeiy6M7o3ejc6NLozOjU6OnpA+kn6XLp/urB63/r+Owd7CTsU+y77TTtmu3q7jnuiO7P7xHvYu/H8CvwdPCf8L7w4PEJ8TnxdPG/8hPyZPKr8uXzGfNI827zhfOO85fzrvPY9A30Q/R69Lz1G/Wj9kr28Pdz98j3//gq+E74a/iK+Lv5CPlo+c/6NPqU+u/7R/uk/A78ffze/R/9QP1Y/X79vv4U/nr+5/9X/8wARgC/ASsBhQHdAkYCwAMzA5MD6QRFBKYFCwV+BgQGiQbxB0UHqwgqCJ0I6wksCYEJ2QoLCi0KigtODFsNdg53DzkPiw9lDw0OwQ5iDacMtwwwDHcNOQ3UDhEOPg6aDwYPRg9fD30Pqg/MD9QP0Q/PD84P0g/nEAcQHBAhECcQPxBcEGoQaBBnEG0QchBxEG8QdxCLEKQQthC5ELAQqhCvEL0QyxDdEPgRFREmES8RRRF1EbAR2hHuEf8SGxI/El8SfBKaErYSyBLVEvATIRNSE2UTVxNKE14TiBOkE6ETkRONE5MTkxOLE4gTjxOdE7oT8BQxFFMURBQjFB8UNRQ3FAgTvRNxExcSgxGqEL4P9w9SDpINjQx5C9UL/wzYDeMOuA9HD64P+RAhEEYQmBEQEVURGRBvD7UPLw7hDr4Owg7UDrQOPw2kDTwNJQ0pDQYMvwyBDGYMWAw7DAwL3AuzC4kLVQsZCt4KqgqACl0KRAo2CisKFAnsCcMJowmGCVoJJAj6COQIywihCHgIdAiQCKUIkwhoCEMIKwgPB98HpQdtBzoHCgbjBs8GywbLBskGyQbNBskGrgZ9BkgGHAX1BcwFpQWIBXAFSwUXBPIFAAU6BWkFXAUaBNoExgTQBMwEoQReBCUEBAPxA9oDvAOfA4kDegNtA18DUgNHAz4DMwMfAv8C2gLBAsMC1gLiAtYCugKiApgCkAKBAmwCWAJIAj8CPQJAAkQCSQJWAm8CjAKgAq0CvQLcAwsDQwN2A5EDjAN0A14DVgNSA0MDLgMiAyYDMgNAA1IDZwN6A4gDjwOPA4YDdQNnA18DUwNEA0oDfQPFA+cDwwN9A1cDawOVA6kDnAOGA3IDXwNJAzYDKQMeAxQDDgMQAxMDEAMFAvUC4ALJArQCpwKfApcCiwKEAoUCjAKUApsCnQKXAo8CjwKYAp4ClwKIAoIChgKDAmkCPgIUAfAByQGTAVUBGwDsAMUAmgBoADMACf/u/9r/wP+a/3H/Sf8i/vj+0v6x/pD+av5D/iP+CP3n/b79lv11/Vb9M/0P/PH81vy4/Jv8g/xt/FH8LfwH++P7vfuP+137Lfr++s/6ovp6+lX6L/oJ+eH5tfmB+Un5Fvjr+MH4lfhs+Eb4H/fz98L3k/dn9z33Gfb69t32vPaV9m32RfYc9fH1yPWf9XP1RPUY9O/0xfSY9Gr0QPQT89vzm/Ne8yjy+vLO8qXyfPJP8iHx9vHO8aTxd/FM8SnxDPDv8NHws/CW8HbwV/A68B3v/u/g78jvs++a737vY+9K7y7vDO7t7tTuvO6k7pDugu5y7lnuP+4x7i3uIu4M7fPt4O3S7cntyO3Q7dnt2e3T7dLt1O3W7d3t8O4K7h/uKe407kfuX+537o7uqu7I7t7u8O8H7yfvSu9t75PvvO/p8BbwRPBz8KLwz/EA8TTxZ/GY8cjx/PIu8ljyfPKi8s/zAfMz82LzivOw89v0DfQ79F70ffSq9O/1RfWY9d/2G/ZV9pP22fcf91H3YfdP9yn3BPb79yT3g/f7+Gj4x/k1+dP6ovuH/F79C/16/ar9rf2j/a392f4e/lT+YP5V/m/+yv8t/0H+9P6A/hH9jfzN+/L7UvsX+xj7G/sX+xz7LPs5+077fvvB+/T8BPwG/Bv8S/yI/MP88P0I/Rb9L/1j/Zv9tv2t/Z39o/2x/aH9YPz3/Ib8Kvv2++r7+PwJ/Av7+vve+8D7pvuQ+4T7iPuV+5X7dPs9+xv7Mft0+7H7xvu9+7f7vvu/+6b7bPsb+sn6j/p7+ob6kPp++kv6Dfni+dv57vn9+er5r/le+Q74w/h5+DP37/ef9zP2s/Y79dT1afTt9Hn0LPP387TzaPNZ87f0OPRM86LyhvGP8RHw6fDA8Grv/u+h71Xu/+6R7i7uD+5G7p3uy+7D7r3u3e8A7ujuku4/7iPuMu5F7lTubu6Z7szvA+8+72fvZO9C7x7u2O3/7FHqLehr56LnvOhF6O/ps+qO61vr9exe7Kns4+0P7TTtW+2C7aPtw+3n7g3uKu4+7lfue+6n7tfvDO9I74PvtO/Z7/bwD/Aj8DjwUvBx8JPwvfDz8TXxePG08eryGvJK8oDyxPMW82fzrPPr9DT0jPTn9Tb1d/W19fj2PPZ19pv2tPbP9vn3L/dl94/3svfW9/z4IfhH+HL4ovjS+QH5Mflk+Zj5yfn3+ib6VfqF+rb67Psk+1z7k/vM/Ar8S/yO/Nj9J/11/b/+Bv5O/pj+4f8s/37/1QAsAIAA0QEhAW4BuwIKAlkCpwLyA0ADkQPcBB8EXwSkBOsFKAVaBYgFuAXnBhAGNwZhBpAGvwbwByEHTwd0B5cHwgf4CDgIgwjbCTQJcAl+CXAJagl9CZoJrAm2CcQJ2gnxCgEKDgoaCiUKMAo/ClAKVQpJCjYKLgo1CkAKRwpMClUKXAphCmsKgwqpCuALNwu5DEYMowysDIEMZQx1DJwMvwzmDSINWQ1VDPsMawvfC3wLRAsqCx8LFAr+CuUK1grWCtsK4wrwCwILDgsHCvIK4ArWCs4KvwqvCqcKqQqtCq0KqQqiCpYKiQqBCoAKggqDCoYKkgqiCq0KtArACtYK7wsDCxMLJQsyCy8LHgsYCy0LSgtRCxMK+wrlCsoKpAp7ClgKNwoRCesJzQmxCYgJTwkeCQgJBgkFCP8I/Qj+CPcI5QjaCN8I5gjcCMMIsQi0CMgI6wknCYEJ4QodCh0J8Am3CYkJZAk+CREI3QipCHsIWQhDCC8IEQfoB8IHqQeUB2wHKgbcBpgGYwY3BhAF8gXZBcIFrAWcBZAFfwVjBT4FEgTbBJgEVwQwBCcELgQ2BD0ETgRmBHIEaARNBDMELAQ9BGQElAS/BNoE5wTyBP8FCgUOBQwFCQT7BNsEqgR9BGMEWgRQBDwEJAQPA/gD1QOkA3QDVQNJA0YDPQMqAxQDAALtAtICrgKIAmoCUgI4AhwCBQH3Ae0B4AHSAcQBtAGcAX0BYQFRAUwBSwFDATMBIQEbASEBIgEGAMQAawAW/93/x//J/8z/vv+c/3L/Uv9G/0z/W/9g/0r/Gf7n/s/+0v7X/sn+rv6h/rL+2P75/v3+0/5+/gz9iv0A/Hz8Dfux+1P65Ppt+gT5rflR+OX4dPgS98H3ePcz9vH2r/Zv9kP2O/ZQ9mL2X/ZM9jb2H/X99cz1kfVQ9QX0qfQ9887ze/Nb82vziPOQ83PzNfLa8nryO/Ir8inx/vGk8UbxCfDT8Hfv8u9t7w3u3u7c7u7uzu4q7PzrserW6pzqwurv6wPrCesF6u3qv+qM6mHqNen66bfpdek66P/oweiE6E3oFefN52nm7OZo5e/lkOVT5TnlO+VC5TPlAOS35HTkQOQJ47TjSOLu4s3i5eMW40XjauOD44fjYeMI4oniDOHD4cLh9+I34mPieeKF4oLiaOI94hziEuIR4gfh9+Hx4fniBOIN4hfiHuIW4fvh3OHJ4cPhweHE4dniAeIv4l3imuLz41XjluOh44bjauNa4z7i+eKQ4iThz+GR4V/hPuFH4Yvh/uJ+4uvjO+N547Xj9+Q45HTkreTr5TPlg+Xd5j7mn+b+51vntugK6Evod+iY6LboyujN6MPovOi86LzouujI6Qzpm+ph6yXrrevs7AzsR+yv7SrtlO3p7jTufe7C7wjvYe/P8D3wjvC+8Nzw+PEY8UHxffHP8iryf/LH8wTzOfNl84Lzk/Ok88Dz7vQm9GD0kfS79On1MfWj9j324/d19+P4L/hj+IT4m/i5+Ov5MvmH+eT6SPq0+yD7iPvu/FT8tPz9/SX9OP1T/ZD98v5o/t//Vf/NAEcAuQEdAXQBywItAp4DEwN7A9QELASMBO8FVAXGBkkGzAc2B5EH+QhxCN0JMQmHCe0KQQppCo0K+Qu/DLMNtA67D5gP8w+wDzQO6Q6uDhYNJQx+DKMNWQ4BDl0Oqg8bD4kPww/aD/gQHBAqECAQFRATEBEQFBAkEDsQRRBDEFAQcxCSEJkQkhCWEKcQshCvEKsQsBC+EM4Q2hDgEOAQ4RDnEPEQ/RENEScRQBFPEVsReRGtEeQSBhIXEikSRBJiEn8SnRK+EtYS4BLtExATRhNwE3cTZhNgE3oToxO4E60TmROSE5kTnhOdE5sTnhOmE8ET+RQ9FGYUXRRCFD8UVBRYFDAT7ROoE1cS1BIUETYQZQ+cDq0NhAxjC8gMCwz+DhQO4A9dD74QFxBcEJoQ8hFREV4Q5hAmD40PSg8xDx8PHQ8mDvkObA2+DWYNfw2mDXYM+wyODGQMXQxIDB4L+AvgC8ULlwtZCxoK5Qq3CpAKcgpiClkKRwomCf4J2wm8CZEJXAkwCREI7gi/CKEIugj7CR0I8giZCFYIQQg3CBIH0weTB1wHKgcDBvAG6gbeBskGuQa4BrcGoQZ5BlMGNwYYBesFvwWqBaIFiAVNBRAE+gUPBSYFEgTbBK0EqQTBBMgEoARXBBYD+wP7A/cD3gO2A5YDhgOBA3wDdQNtA2UDXANMAzIDDwLvAuAC4QLgAtACuQKoAqQCoQKWAoYCdgJmAlYCSAI8AjQCNAJIAnICpALIAtIC0ALXAvIDHQNHA1oDUQM4AygDJgMmAxwDEQMSAx8DLAM5A0sDZAN6A4YDkgOgA6QDkwN2A10DRwMwAygDTwOiA+wD8gO3A3oDbQOKA6QDpQOSA34DbgNeA0wDOwMuAycDJQMmAyIDFQL+AuUCzQK3AqUCmgKWApMCjwKKAoYChQKEAoMCfwJ3AmwCagJ0An4CegJqAmACYwJkAlACJwH8AdoBugGQAV0BKgEAANgArQB7AEsAIv/+/93/u/+Z/3f/Uv8n/vj+z/6u/pD+cP5P/jH+E/3w/cj9of1//V39Ov0Y/Pv83vzA/KP8ivx1/Fv8O/wX+/P7zPuh+3L7Q/sT+uP6uPqU+nH6Svoj+fv5z/mb+WP5L/kC+Nf4rfiF+F/4N/gL9933sfeH9133N/cY9v323va69pP2afY/9hX17PXD9Zb1Z/U99Rb06fS19ID0T/Qf8+bzqfNt8zjzB/LY8q3yhfJc8jHyCvHk8bzxj/Fk8T/xH/EB8OLww/Ck8IPwZfBK8DDwFO/47+Hvy++w75DvcO9T7zXvE+717tvuwu6o7pTuie5+7mruU+5E7jzuMO4Y7f3t6O3e7drt3u3p7fHt8O3p7eTt4e3g7eXt9O4K7hzuKu497lfuc+6M7qXuwO7a7u/vAu8b7zrvV+9075jvxO/08CPwUPB98Kzw3vET8Ufxd/Gl8dbyDPI98mbyifKv8trzCfM582jzk/O48+D0DfQ89GL0hvS49QD1VvWp9fL2L/Zl9pv22fcg92b3mvev96H3evdU90r3aPec99X4GPiC+Sr6Bfr5++b8r/0//ZH9sv29/c/9/f5F/of+pP6i/rz/Ff+B/6//gv8n/sf+Sf2G/Jn7z/ta+y77LftK+3r7ofuw+8H7+vxW/KL8vfy3/LP8w/zk/Qr9KP02/T/9Wv2S/cv95f3d/c/90P3U/cH9i/01/ND8c/w9/Dr8U/xj/FT8MfwM++z7z/u9+8v7//xC/Gr8Xvwu/AL7/fwY/DP8N/wn/Bf8E/wR/AL72fuX+077Ffr++wT7Dvr++sj6dvoh+eL5u/mZ+Wj5K/jz+Mz4q/iE+Ff4IvfW92H2yPYp9ZX1BfR79A/z0/Os827zIPML81zz1vP584Dyo/HS8Uzw+/Co8D3vxu9b7wXuvO527j3uKO497lruUO4h7gTuF+457i7t/e3c7e3uEe4o7kLuge7b7yDvP+9R72nvhe+s7+nwBO9z7dDraOki58nnfufh6I/pXupA6xrr0uxd7Lrs7O0C7RftOe1j7Yntru3U7fXuCe4U7ijuSe5z7qPu3O8c71nviu+179zv+/AN8BjwK/BI8G7wm/DU8RnxYPGh8dryDfI88mzyqfL180bzjPPJ9A30YfS/9Rj1Y/Wi9d32GPZO9nf2kvaq9s72//cx91v3gPem98739vgd+En4e/iv+OH5E/lF+Xj5qPnX+gb6Nfpk+pb6zfsG+zv7cfut+/D8N/x9/Mb9E/1h/av99P49/ob+zv8X/2b/uwARAGQAtQEDAU8BmgHmAjECegLDAxIDZAOvA/EEMwR7BMQFAgU0BWUFlwXGBe8GFQY+BmoGmAbKBv4HKwdPB3UHpgfhCCUIgQkJCaQKEQoeCd8JmAl5CX8JkgmnCcMJ4gn4CgUKEAocCh8KGQoaCiwKQQpHCjsKMgo4CkYKUQpWClsKYwpvCoUKpgrRCwoLYgvfDF8MoQyRDGAMVAx3DJwMpgyzDOgNLA04DOUMVAvEC1kLEwrpCtMKxgq2CqMKmwqkCrYKyQreCvYLBgsBCu0K2grRCsoKuwqsCqcKrgq2CrcKswqvCqkKoAqUCosKhwqJCpIKoQq1CsgK2QrtCwILEwsXCxQLEQsPCwgK/Qr8Cw0LIgslCtoKzQq9CqEKegpTCjMKFgn2CdUJtgmRCVgJFgjoCN0I5QjqCOkI7QjxCOYIzgi+CMMIzAjCCKYIkQiUCKoIywj3CTUJeAmoCbMJnQl2CU4JLAkKCOIIsQh6CEcIIggMB/4H6AfFB6EHhwdzB1AHEgbEBnoGPwYSBe4F0QW3BZsFgAVsBV8FTQUwBQgE2wSlBGYEKAQAA/QD+gQFBBgEPARoBIIEewRbBDwEMwRIBHQEqwTdBP0FCwUPBRAFDQUDBPcE7ATcBLoEigRdBEQEOQQqBBMD/gPyA+UDxgOXA2sDUQNHAz0DKwMWAwQC8gLaArgCkQJuAlQCPAIfAf4B5QHVAccBtgGjAZUBjAF9AV4BNgEXAQ4BGQEkASEBEAECAP4A9QDTAJMARgAG/+H/1P/V/9P/xP+l/37/XP9G/0L/Tv9Z/0r/F/7a/rn+u/7F/r3+pP6P/o7+nP6q/qv+lv5n/hj9pv0a/I78HfvK+3n7D/qW+in50fl6+RT4q/hP9//3tvd09z33DPbW9qn2m/as9r32t/ag9on2dvZa9iz19PW49XT1FvSX9AzzofN785Pzt/Ow823zBPKT8jjyCPIA8fLxsPFA8NjwmvBo8Bfvou8u7t7uve7O7vTu2O4f7M7rb+qc6nXqo+rJ6tTq2urZ6r7qiOpR6ibp9+m16WjpI+jo6K7ob+g06ADny+eG5yvmv+ZH5cnlUuT35MfkweTL5MjkpORl5CTj8uPC43zjFeKn4lriQ+JY4obiveLu4wbi8+Kv4knh3eGS4X/hn+HR4friF+Iy4kXiPOIV4ejhzOG74aHhgeFv4Xnhk+Gs4brhuuGl4YDhWuFD4TnhNuFD4W/hs+H14ibiV+Kg4vLjIuMU4t7iqeKC4lHiAeGh4VbhLeEV4P3g7OEB4UrhuuI14qPi/ONG44njyeQG5ELkguTM5R7ldOXQ5jXmneb+51Xnqef46DfoYuiC6KDouOjA6Lvoteiu6J3oiOiN6NbpcOo96wfrmuvp7BXsUey27TLtpu4D7lLumu7b7xzvb+/c8E3wpvDd8P3xFvEy8VnxlvHr8kryofLq8ynzXfOB85XzpPPD8/b0NvR19K704fUP9Tv1c/XJ9kT21vdn9+L4P/h9+KT4xPjw+S/5d/nB+g76aPrS+0f7vvwt/I781/0G/SD9OP1q/cb+Rv7Q/1H/ygBEALgBGQFnAbACBwJwAuEDTgOyBBIEdwTfBUYFqwYYBpQHEweEB+kIUQi9CSAJfQnlClIKnQq/CvELbQwsDQMN+A8ZEB8QfhAWD3wPSQ9QDuIN2AzlDMENWg4WDqIPHA+kEBQQShBdEHEQfhBwEFcQTxBWEFcQUxBdEHEQfBCAEJIQtBDJEMEQsxC8ENYQ6RDtEO0Q8BDzEPQQ+hEGERERGBEcESERKxE9EVcRbhF8EYoRrBHhEhISLxJBElcSchKMEqUSxBLjEvUS/BMOEzkTaxOHE4ETcBNxE5ATtxPLE8ITsBOpE7ETuhO9E7kTtBO3E9EUDBRVFIMUgxRsFGQUbhRuFE8UGxPnE6YTNxKLEbMQzQ/bDsMNgAxXC8cMIA0rDk0PDw96D9YQRRCrEPkRNxFPEQUQUg+cD1cPfw+qD5UPXg8qDtUOQw26DaoOEA5bDhANUgyqDGQMWQxJDCYMCAv3C98LtAt+C0gLFgrnCrsKlgp+Cm8KYgpLCiwKCwnoCb0JiglcCTYJCwjbCMsI/AlPCW4JKgiyCGAIUQhXCD0IBgfQB6oHigdsB1MHNwcLBt0GxwbPBtQGuAaHBmIGUwY+BhMF4wXKBcQFrQV0BTQFEAUPBRAE9QTDBJgEjgSbBJ0EeQQ9BA0EBAQUBBcD+wPPA7ADpQOiA5wDkgOHA30DcgNpA14DSQMtAxEC+wLnAs4CtwKsAq4CsAKrAqICmgKTAoYCdQJgAkkCOQJBAmoCpALQAtwC0ALEAskC4QMAAxQDFgMOAw0DFQMZAxMDDAMUAyQDMgM8A08DawOCA48DmwOnA6YDjgN0A3EDggOFA3MDdAOsBAIEMAQNA70DgwN/A5cDpwOhA5IDgwN0A2IDTwM/AzcDNAMyAyoDGAL8At4CxQKwAp4CkAKHAoUCiAKKAokChAJ6AmwCXQJNAkECPgJGAlECUQJFAjoCOwJAAjUCFAHrAckBrgGNAWIBMwEIAN4AsgCGAFoALv///9L/rf+S/3f/U/8k/vL+yP6o/oz+b/5T/jf+Gf33/dP9sf2Q/W/9Tv0w/RT89vzW/LX8mfyA/Gb8Sfwo/AT73Pux+4b7V/sl+vX6zvqv+o76aPo++hL55fmy+Xz5Sfka+O74xPie+Hn4UPgj9/j30/eu94b3YPdA9yT3B/bl9r/2lPZl9jb2CvXd9az1evVN9ST09/TA9Ij0VfQj8+/zuPOD81DzHfLs8sLynvJ58lLyKvIC8drxrvGD8V3xOfEV8PPw0/Cz8JPwdPBa8EPwK/AR7/nv4O/B75zvee9b7z7vIe8H7vDu1+677qTul+6N7n7uaO5V7kjuOO4i7gvt++307fXt/O4F7gfuAu367fPt8O3u7fLt/e4L7hruLO5J7m/uku6t7sPu1+7n7vbvCe8l70XvYu+A76Xv1PAD8C3wVvCB8LLw6PEg8VXxg/Gu8d3yEPI/8mfyjvK58ufzEfM682Lzi/Oz8+D0EPQ+9Gb0jfTF9RH1ZfW19f/2RfaD9rr27vcp9233sffp+Ab4Affl98v3wPfD98336fgv+K35WPob+uP7nvxA/MH9JP1q/Z390/4d/m3+nv6r/r//Bv9q/6X/mP9e/xH+n/3r/RD8V/vt+8j70fv8/Dj8Yvxr/HH8pP0F/Wn9o/2r/ZP9b/1T/Uz9WP1o/Xj9k/3A/ez+B/4R/hv+J/4j/gb90v2M/TH80PyM/Hz8jPyS/H38XvxL/EL8Ofw8/GL8sv0M/UX9Sf0p/Qb89/z4/Pr86/zJ/KD8fvxs/GD8R/wW+9H7jvtd+0X7Ovss+wn6zvqF+kD6A/nG+Xz5LPjn+Ln4nviJ+HL4TfgK9573EvZ/9fL1a/Tu9I70T/QY88zzfvNo86Hz8PP2847y5fJC8b3xSPDR8Fnv5u9+7yfu6u7D7qfukO6C7nLuTe4a7fvuAu4Q7gTt5+3l7gXuHO4Y7ifue+77713vgO+D74vvn+/E8AfwPu/m7n/sKOmq5+XnOOd06DPpIOoN6uTrqOxQ7Mbs8+zp7Nbs3uz/7SftUu197Z7tr+257c7t8+4i7lrum+7h7x7vUO9/767v1O/n7/TwCvAt8FXwgPC28PjxP/GC8cHx/PI08mnyo/Lo8zHzdfOy8/H0PPSU9O71QfWH9cT1/fYy9lv2dvaL9qr21/cH9zL3V/d996b3zPfx+Bv4TfiD+Lf46vkd+VH5hPm1+eb6FfpE+nb6rvrm+xz7U/uR+9j8Ivxq/LT9AP1N/Zr95f4v/nf+vv8G/1H/n//vAD0AiwDYASIBbQG6AgUCTAKUAuEDLwN3A7kD/QRGBI0EyQT+BTQFawWcBcUF7AYVBj4GaAaaBs8G/QcjB04HhwfDCAUIcQkrChMKxgrtCpcKFwm4CYwJiAmqCeYKHQovCh8KDQoLCgoJ/wn3CgYKJwo/CkIKPQpCClAKXAphCmYKcgqHCqUKygr1Cy8LigwGDHYMnwx5DEUMRgx4DJoMkwyRDMoNIw1EDPkMYwvIC1ELAArOCrMKpQqUCoAKegqKCqYKwArVCuYK8ArrCt4K1ArRCswKvwq0CrUKwArICsYKvwq+CsEKvwqzCqIKmQqcCqoKvQrSCucK/QsSCyMLJwsdCwwK/gr2CvAK6ArkCuYK6QrlCpYKkAqGCnEKUwo1ChsKAQnlCckJqwl+CTkI7Ai6CLEIwAjNCNMI2wjdCM4IsgigCKIIqQigCIcIdQh4CIwIqAjJCPMJHwlECVMJTQk2CRkI+wjXCKoIdghCCBQH8gfcB84HvAegB34HXwdHBygG9AavBmcGKgX6BdEFrgWOBW4FUQU8BTEFIgUHBOAEtASCBEoEFQPzA+kD6wPzBAgENARqBIwEhgRnBEsERQRVBHcEpATVBPwFDgUPBQYE+QTpBNgEyQS2BJIEXwQxBBYECAP4A+ED0wPSA88DtQOIA2IDUgNNAz8DIgMCAukC0wK3ApMCbwJSAjsCIQH/AdoBvQGsAZ4BigFyAWABWwFXAUMBHAD0AOIA7gEFAQoA+ADgANEAxACmAHYASQAuACUAHgAO//X/1f+y/47/bP9P/0D/RP9O/0L/Ff7X/q3+o/6k/p7+j/6G/oT+gv57/nH+Zf5O/hr9vf06/K/8Pfvr+5v7NPq++lX5//mp+Uj46PiT+EP38fet94f3cvdX9zP3HPca9xf2//bY9rf2oPaF9l32LvX/9cX1afTf9DnzrvNx83/zm/OG8zPyxvJo8i3yF/IT8fjxpfEp8LbwafAr79bvZu777rDulu617uruzu4A7JXrLupn6lPqhuql6qfqq+qs6pDqWOof6fHpvOl06SLo2+ie6F/oHufk57Lneucz5uHmh+Yg5aXlIeSx5GvkUeRP5E/kPeQS49jjn+Nu4zPi3uJz4g/h0eHC4dziEeJP4n7ihuJj4hvhweFz4U/hXOGC4aXhveHY4fLh9eHX4arhhuFq4UXhFuD44P3hHOE84UzhR+Er4P7g0eCx4KLgo+C/4QHhXOGq4dfh9+Ip4mrijuJy4ibh0eGJ4UfhAuDL4LXgueC94LTgr+DM4RXhf+H24mfix+MX41vjnOPc5BzkYeSw5QflY+XF5i7mmeb450jnk+ff6CHoUeh06JTosOi/6MHou+is6I7oceh56Mzpa+o36v7rmOv27C3sbezR7U7twu4f7nHuwe8J70nvkO/v8FnwtfDy8RnxNvFS8XrxuPIP8nDyx/MP80zzfvOc86nzuPPf9CH0a/Su9Oz1KfVn9Z31zfYK9mT22/de99r4QviP+Mb4+fk4+YP5zfoR+lT6oPr8+2n74/xY/LP86P0E/SD9Uf2l/h3+rf89/8EAOwCyASABdQG1AfYCSgKtAxcDhAP0BGQE0QU4BZsGAAZqBuAHWgfRCEEIrQkVCXYJ2gpHCqUK3Ar9C0oL5AymDWcOSg92EI8Q7BBrD8MPpw/XD3gOTw0mDNsNcg5JDvYPiBAXEIUQthDEEMwQxBCkEIYQixCeEKAQlBCXEK8QwxDMENsQ8xD6EOoQ2xDoEQcRHxEoES4RMBEqESARIhEvET0RQRFAEUcRWBFzEZERphGwEb0R3xITEkASWRJpEn8SmhKxEskS5xMBEw4TFRMuE10TiRObE5EThROKE6QTxhPdE90T0BPHE8sT1hPaE9MTyBPLE+oUKRRxFKAUphSVFIwUkhSTFH4UWBQuE/wTpxMTEj4RPRAhDuoNnQx2C+gMQg1SDnoPPg+mEAUQfxDxETcRTREkEJkPyg8zDzsPthAID9sPXw7hDmYN4w2cDeQOiw7iDnINfQyrDFIMRgw/DCkMFQwAC94LsAuFC14LMwsECtoKuwqiCosKdApZCjkKFgnzCc8Jpwl9CVMJIQjxCOQJGQlrCYcJQAjFCHEIXwhjCE0IIggAB/IH5wfRB6wHcQcpBvMG9AccBy4HAQayBnsGawZfBjwGDwX1BeoF0QWeBWcFRQU5BSsFCgTaBK4ElQSLBIAEZAQ9BCMEIgQqBB4D+wPXA8cDxQPBA7UDqQOhA5cDiAN9A3oDdANiA0UDJgMIAugCzQLAAr4CvQK3ArECrwKvAqwCowKUAnsCXwJTAmYCjwKzAr8CuAKwArECvwLUAukC9QL8AwYDEgMaAxgDFQMeAy4DOwNFA1cDcwOOA58DrAOzA6UDggNsA4sD0QQBA/IDyAPKBAoESgREA/YDogOBA5QDrwO2A6kDlgOFA3QDYgNRA0MDOQMyAyoDGgMBAuQCzQK7AqkClQKFAn0CfAJ8AnoCdAJnAlQCPgIsAiECHgIhAiYCJQIbAg8CDQITAhIB/wHgAcIBqgGMAWQBNgEIAN4AtACMAGMANgAE/9P/rf+S/3P/Sv8Z/uz+x/6n/on+bP5Q/jf+HP4A/eP9xv2o/Yn9bP1R/TT9FPzx/M38rPyO/HP8Wfw7/Bb77PvC+5f7afs3+wf64/rH+qn6g/pV+if59/nF+ZT5Zfk4+Qv44fi++Jr4cfhD+Bv3+vfb97X3jvdq90n3KPcE9tz2sPZ99kf2FPXj9bD1fPVN9SL09/TF9JH0YfQ09Ajz2vOr83rzRvMU8u3yzfKr8oPyVvIp8f3x0fGm8X7xVfEq8QLw4PDA8J/wgfBn8FLwPPAk8Arv7e/J76Hvfu9i70rvMu8c7wju8u7W7rvuqO6b7o3uee5k7lLuQu4x7iHuFu4S7hXuG+4g7h3uE+4J7gLuAe4C7gfuD+4Y7iTuOe5d7onur+7J7tnu4u7n7u/vAe8e70DvYO+D76/v3vAK8DDwWPCE8Lbw7fEl8VnxhvGw8d/yEPI+8mbykfLB8vHzGvM982HzifO38+v0IPRN9HH0mvTX9Sf1efXE9gz2Vfab9tj3C/c/93r3vfgD+D34W/hZ+Ef4OPgv+Cv4MPhQ+JP48vlk+eL6avr8+5X8LPyw/RP9Z/3C/h/+XP5t/nj+rP8D/0b/Vv9D/xr+xf4t/Xf85/yf/JD8n/zG/Pz9Jv0y/TT9VP2h/gf+YP6I/m/+Hf2+/YP9gP2f/cb96f4J/iX+Pf5b/oD+mf6P/mP+Kf3m/Y39JPzO/Kf8pfyn/KH8pvzB/OT8+f0H/Sv9aP2n/cn9yv25/an9oP2a/ZP9f/1W/R386fzO/Mb8uPyP/Ej79fun+2v7Rvs0+yP7A/rR+pf6Xvoj+dz5ifk3+PP4x/iu+Jj4cfgq98b3V/bq9n32CvWa9Tv07vSi9FH0FvQU9EH0XvQw87nzKvKr8jrxxPFL8N/wgfAm79Dvke9u71bvNe8O7uruxu6i7ojufe5x7lXuPe5D7lvuWe447jbuiO8R737vqO+r76/vt+/B79/v/e+47pvsluox6DDnHucT58Xox+m+6o/rVOwX7LDs7OzQ7JzsheyV7Lns4e0L7SztP+1M7WXtj+3E7gLuSO6P7szu/+8x72Tvju+q78Xv6/AY8EHwaPCY8NjxHvFj8aXx5/Io8mXyoPLf8yHzY/Oj8+P0KPRz9MX1GfVo9a316PYa9j/2WPZt9or2tfbl9xD3N/dd94P3pvfJ9/H4IvhY+I/4xPj3+Sv5X/mU+cj5+fop+lz6k/rN+wf7QfuB+8f8Efxa/KX88/1C/Y/92v4i/mf+q/7x/zj/fv/EAAsAVgChAO0BOgGKAdcCIAJnArEC+QM9A30DwgQJBEsEhAS6BPYFMgVkBY8FuwXmBg0GNAZlBpwGzQb2BycHZQehB90ISAkWCicLDQtmCzEKtgo2CdMJpwnNCjYKlgqiClwKBwncCdYJ1gnVCeQKBwoqCjsKQApIClUKYApmCm4KfwqaCroK3AsDC0ALogweDIAMkgxZDCMMLwxsDJEMggx/DMUNOQ11DTUMlQvlC1sLAQrLCq8KnAqECmwKaAqACqUKwgrPCtIKzwrLCsgKzArSCtAKxwrCCsoK1wrcCtQKzArRCt8K5wreCskKuwq/CtMK6gr9Cw0LHQssCzMLLQsdCwkK+ArrCuIK1grICroKrAqfClAKRQo8CjAKHgoNCf4J7AnYCcQJqQl5CSwI1gibCIwInAiwCL0IxAjCCLEIlgiDCH8IgAh4CGkIXwhiCG8IggicCL4I4gj/CQ0JCwj9COgIzQimCHEIOAgHB+EHwwerB5kHigdzB1AHKgcLBu4GxgaNBk0GFAXiBbcFjwVsBUsFLgUaBRAFBQTtBMkEngRwBEAEFgP/A/oD+wP8BAsEMwRoBIgEggRmBFMEUwReBG8EjQS5BOUE/QT7BO0E3wTQBL8EqwSRBGkENAQEA+YD2APJA7YDrQOyA7QDnQN0A1QDTANNAz4DGQLtAscCqAKKAmwCUAI6AiQCCQHlAb8BnwGJAXYBXgFCAS8BLwE4ATIBEADiAMUAygDgAOYA0QCzAKEAlgCBAGQAUwBcAG0AawBLABj/5P+4/5P/cP9R/zr/NP81/yv/CP7U/qf+iv51/mP+W/5h/mn+Zf5W/kr+RP43/g79v/1O/NT8afwS+7v7Vfrp+on6Nfnb+Xf5HfjR+IT4LPfk98f3zPfL97P3lfeA92j3PPcD9s/2p/aB9lb2K/YC9dP1hvUJ9GXzzvN683Dze/Nf8xTywPKG8mjyWPJF8hfxu/E98MLwZfAX77vvTe7e7ojuaO6L7sfuqO3K7FXq9OpB6jrqbeqA6nrqeup86mLqK+nw6bzpgOkz6OLom+hY6BHnzOeT52HnJ+bg5pXmSuXx5Xvk9eR75CTj8uPa49Tj0OO644rjS+MR4tvileI54dfhi+Fk4WThh+HA4friG+IX4evhoOFQ4SDhJOFI4Wvhe+GE4ZDhkuF84VnhOuEd4PLgu+CU4I7goOC14L/gveCq4IPgUuAp4BTgGeBC4JLg9+FK4XbhjeGu4dnh6eG94V3g8uCa4FvgM+Ao4DrgWOBr4HHgfeCl4PDhVOHG4jninOLr4y3jceO34/zkQeSP5OrlT+W55iXmjebm5y/ndufB6AjoQOhq6I/or+jD6Mjov+ik6H3oY+h96N/pgOpA6vzrluwA7EbskOz37Wrtye4S7mLux+8u737vv/AK8Gbwv/EC8THxVfF18Zzx2fIx8pby7/M0823zm/O588PzzvPx9DL0fvTF9Qr1VvWk9eX2FvZI9o727/di99z4T/iy+QP5TfmW+d/6Ivph+qL65/sy+437//xz/Mj88f0H/TP9hv36/oP/FP+kACgAowEYAYEB0gIPAkwCmALzA14D2gRfBNkFOAWIBeAGRwa3ByoHoAgaCJUJCwl5CeEKSQqqCu0LCAsrC50MaQ1JDgMOww/DELwRDhCTD/gP3g/+D4gOUg0zDQUNug6jD1QP4RBnEMwQ9hD/EQIQ+BDYEMIQ0BDpEOkQ2BDZEPMRCREPERURIhEmERwRGBErEUcRWBFfEWURaRFiEVgRWRFjEWcRYhFfEWwRiBGrEcoR3BHhEewSDxJGEnIShxKSEqMSuxLSEugTARMWEyETLBNJE3YTnhOwE68TqxOtE7oT0RPpE/QT7BPfE98T6RPtE+QT2RPhFAYURRSHFLIUvBSzFLAUvBTHFLsUlxRtFEgUEROcEswRrxBxDywN6gzTDEcMlA2WDroPgg/sEEEQoxD1ERcRDhDSEEkPjg8VDzcPuxACD7cPEw50DfQNkw2EDfgOow7cDkwNTwyIDDkMLQwnDBwMFQwBC9gLqwuNC3QLSgsXCvAK2wrHCqcKgApXCi0KBAniCcYJqwmMCWYJNgkECO8JFQlfCYUJVwjxCJwIeAhpCE4ILQgcCBkIEwf7B8oHfwcuBwkHMAd8B5kHWwbwBqQGjAaBBmIGOwYlBhkGAQXWBaoFiwV2BVoFNAUKBOIEwwSrBJUEewRgBE4ERgQ2BBcD8QPeA+ID5wPfA9ADygPMA8UDrwObA5QDkgOHA3ADVAM3AxcC9wLgAtMCxwK6ArQCtwK8Ar8CwAK9ArECmAJ/AnkChAKTApwCpAKxAsIC0ALdAuoC9AL6Av8DCAMSAxcDGgMiAy8DOgNDA1EDaQOGA58DtQO+A6wDgQNoA4wD5gQwBC0D7gPDA+AEIwQ/BBMDyAOcA6MDvwPKA70DpgOUA4cDeQNnA1MDPwMwAycDGwMIAvAC2wLMAr0CqgKXAokCfQJwAmICVwJNAj0CKgIcAhYCFAIPAgkCAAH0AeYB4AHlAeoB4wHQAbkBogGIAWQBOQEOAOUAvACUAGsAQAAQ/+H/uP+T/2n/Of8N/uv+zv6u/or+af5N/jb+IP4K/fT93P3A/aT9iP1s/Uv9J/0C/N78vPyc/IH8aPxM/Cj7//vV+6v7fftL+x36+vrd+r76lvpp+jn6B/nX+az5hfld+TP5C/jp+Mf4nvhx+En4KPgH99/3s/eJ92H3N/cM9uH2tPaB9kz2GPXp9br1ifVa9TD1B/Tb9K70g/Rd9Df0DvPi86/zefNH8x/y//Lb8rDygPJP8iDx8/HI8Z7xcfFC8RXw7/DO8K7wkPB28F/wR/At8BLv8+/O76bvhO9r71fvQu8u7xzvCO7v7tLuuu6o7pjuhu5x7l7uT+5E7jvuMu4r7ivuLu4w7ivuIO4W7hHuEO4S7hnuI+4t7jjuTu5x7pruu+7Q7tru3e7e7uTu9e8R7zHvVe+A77Lv4/AM8DLwW/CK8Lzw7/Ei8VPxgfGw8eTyGPJH8nDynPLL8vjzIPNH83HzofPV9Az0QPRo9Ib0rfTu9UH1lPXc9h/2ZPao9uX3HfdU94z3yPgK+Er4ePiK+I34k/ie+Kn4svjC+N35Avkt+WP5q/oM+or7Hvuz/Df8rf0n/Zv96f4H/hv+U/6q/vf/JP9B/03/Jf6t/gX9d/0q/RP9F/0y/WH9kv20/cr95v4d/nD+zP8J/vr+mP4X/b79sf3b/hP+Qv5m/oL+n/7I/vL/A/7l/qT+Xf4W/cT9Zv0W/O786fz0/Qr9N/15/bP9z/3W/eD99f4H/gn+Av3//gD9/v32/ev91/2w/Xr9S/00/S/9Ivz6/LX8XPv++6z7dPtZ+0j7Kfr1+rX6evpI+hb52/mW+U75FPjs+Mn4kfg799b3e/cq9tH2ZvX39Zn1T/UJ9Mn0p/S09NX0zvR98/rze/Mb8sbyZvIC8a3xZPEY8MPwe/BK8CPv8++774vva+9T7zvvIe8A7tnuvu697sbutO6I7nruue8q74Xvpu+n76zvuO/B78rvzu+U7sntRes66SfnnucI52boUelK6hnq3eux7G/s0uzP7KTsj+ye7L3s2uz27Q3tG+0m7TntWO2F7b7uAO5B7nnuq+7e7xLvPu9k75HvyfAB8CvwUfCB8MHxB/FL8YzxzvIR8lHyjvLK8wfzSfOR89r0H/Rh9Kr0+/VP9Zn10vX89hv2M/ZL9mv2lvbE9vH3GvdC92n3i/es99T4Bfg7+HL4pvjY+Qv5QPl3+a/55foX+kz6hPrA+v37O/t6+7z8AvxL/Jf85v01/YP9zP4Q/lD+kP7S/xT/VP+T/9YAHwBrALgBBwFYAaYB8AI3An0CwgMCA0EDhQPKBAcEPARzBLIE8AUkBVQFhQW1Bd0GAwY2BnIGpgbSBwcHSQeDB7YIDQi8CbEKlQsYCzAK+wqRChAJwgnzCpcLNAtJCsoKHgmwCZQJoQmyCcYJ5woLCiQKMwpACk4KWApdCmcKewqXCrMKzwr0CzYLnwwaDG8MbwwvC/wMEwxZDIAMcgxxDMMNTQ2iDXAMyQwEC2YLAwrNCq8Klgp5CmMKaAqKCrQKzQrPCsIKtQqyCrsKygrUCtEKygrKCtUK4QrhCtkK1AreCvQLBQsDCvIK5ArpCwALGgspCzELNQs5CzYLLQseCw0K/ArqCtgKxgqwCpcKewpiCgUJ7QngCdgJ0AnJCcUJxAnECb8Jqgl3CSYIywiKCHQIgAiXCKkIrwioCJUIfghrCF8IVghNCEgISwhRCFUIXQhxCJAIsQjJCNIIzgjDCLMInAh0CDkH+wfLB6kHjAdvB1kHTAc6BxkG7AbGBqgGiAZbBicF9AXHBZ4FeQVYBTkFHQUKBQAE9QTfBLoEjwRlBD0EIAQSBBIEEQQMBBUEOARpBIQEeARdBFAEVwRhBGgEfASmBNUE6wTkBNEExAS5BKcEiwRqBEEEEAPiA8QDswOlA5QDiwOPA5EDfgNbA0ADOgM5AycC/wLNAp8CegJdAkgCOAIpAhQB+AHVAbABjAFvAVMBNwEcARABFwElASIBAQDQAK0AqQC2ALYAnwCDAHUAcQBlAFIATgBmAIUAigBqADP/9//A/43/X/86/yL/F/8Q/wL+5v7B/pn+cf5I/ij+Hv4o/jT+Mv4q/iv+Mf4m/fj9qP1F/N/8gfwp+877avsL+rf6ZfoE+Zv5RPkE+MD4a/gg+AH4CPgN9/f30vex95D3Yfck9uX2qfZu9jT1/vXN9Z/1ZfUM9JD0DfO085bzjPNo8yby6PLB8qPyfvJM8gzxsfE78MHwWvAF76rvO+7B7lruK+5L7ofuY+1/7A/qwuol6ijqVupf6lHqTupO6jPp/Om/6YPpQOjx6KPoXegW58nngedH5xPm1+aQ5krmCOW25UnkyuRT4/PjrON842jjZ+Ne4zji+uK74oHiQOHu4ZnhVeEp4RjhJOFJ4XzhqOG54aXha+Eg4Ozg7+Eb4UThTuE/4S7hIOEO4Pvg6ODO4KDgZuA54CbgI+Af4B3gIuAj4A/f5d+436HfrN/e4DHgkuDj4RLhK+FA4VDhQ+ED4JzgNN/m37vfrt+9397gA+Ag4DngXOCT4ODhPeGq4hnieeLC4wDjReOS49zkIuRv5M7lOuWp5hLmc+bJ5xXnX+es5/XoMuhj6IzorejC6MbotOiL6F3oT+iF6QTprepg6wvrnewL7FzssO0Y7Xrtt+3h7i7usu9F77Hv8vAt8Hvw0fEa8VLxfPGd8cHx+PJP8rfzEvNW84vzufPb8+bz6vP/9DL0d/TA9Qr1XPWx9fv2NPZs9rD3Bvdt9+P4Yfjc+Uz5rPn7+jn6bPqi+uP7KPtq+7b8G/yI/Nb8+v0Z/V790f5Z/uT/cP/8AIEA/AFtAdICIQJgAp4C7ANRA9EEaQT/BWsFpQXQBhsGiwcHB3sH7AhmCOUJYgnXCkYKsAsHCzYLQQtlC/IM8w4JDtQPZBAEEK4Q9hCqEDIP/Q/VDycN+w0bDTEOCg70D5YQGRCdEP8RIREgESMRJBEVEQcREREjESQRGxEkET0RSRFCET0RRhFREVcRYxF6EY8RlRGTEZURmBGXEZYRnBGiEZ0RkRGQEZ8RuxHaEfQSAhIGEhMSPRJ4EqcSuBK7EsgS4BL3EwsTHRMuEzoTShNnE44TsBPFE88T0hPNE8sT1hPuE/8T/RP0E/UUABQFE/wT8xP+FCQUXRSYFMEUzhTIFMgU3RTzFOwUxBSZFIUUbxQSEzwSAxCtD20OSA1QDNENGA4ODygP6hBGEHkQphC6EKsQkRBrEBcPkw8yD0EPmQ+6D14OvA4tDcoNjQ2SDewOVQ5TDcQNCAySDGcMSAwaC/wL+AvwC84LqwueC5ILagsvCwMK7grZCrIKhApdCjkKEwntCcgJpwmJCW4JTQkfCPsJCAlLCYwJiglBCOkIqwiHCGkITwg+CDEIHAf8B8sHhwdDBzEHagfAB9sHlQclBtYGuQanBoQGXAZHBjwGKAYGBeUFyQWrBYMFVgUvBREE+gTlBMwErgSQBHkEZgRMBCgECgQEBA8EFAQIA/sD/AQEA/wD4gPGA7gDsQOkA44DdgNdAz4DHAL/AugC0gLAAroCwgLMAs8C0QLXAtkCzQK2AqICmgKXApoCrALNAu0C/gMAAwADAQL+AvgC+AMAAwsDEgMZAyIDKgMvAzgDSgNlA4QDnwOtA6MDgwNoA3oDvQQCBA4D2wOhA58D2QQUBBoD7wPDA7gDxAPNA8UDtQOoA58DlQODA2oDTgM4AysDIQMSAv0C6gLdAtACwQKyAqQCkQJ0AlcCRAI6Ai8CHgISAg8CDQICAfIB4gHUAccBvwHAAcYBwwG1AaABjQF3AVoBOAETAOwAwQCUAGkAQQAW/+r/vf+O/1z/Lf8I/u7+1f6y/or+Zv5L/jf+JP4T/gL97v3W/br9nf19/Vf9L/0K/Oj8yPyq/I/8d/xc/Dn8Evvq+8H7lPtj+zj7FPr0+tD6p/p8+k/6H/nx+cr5qvmJ+WP5PPka+Pj4z/ii+Hj4Uvgp9/r3yPeb9273PvcM9t/2tfaJ9lv2L/YJ9eL1t/WJ9V71N/UO9OP0uvST9G30Q/QU897zpvNx80XzH/L38snymfJp8jvyD/Hl8bvxjvFd8S7xBvDk8MTwpvCL8G/wUfAz8Bbv+O/V77Dvju9372XvUu8/7y3vGu8D7ufuzO617qPuke597mvuXu5X7lDuRe457jLuMO4v7iruI+4e7hvuGe4b7iPuMe4/7k3uYu5/7p3utu7F7s3u0+7Z7uTu9+8Q7y7vVe+H777v7/AY8D/wa/Ca8Mfw8vEe8UzxfPGy8ezyJfJW8oHyrPLW8v3zJPNT84rzxPP89DH0X/R/9Jj0vvUA9Vb1qfXy9jX2dvaz9uv3Jvdj95731PgL+EP4c/iS+Kv4y/jy+RT5LflB+VX5ZPlv+Xr5jvm0+fT6UvrE+z37v/xO/Nr9RP2G/cL+Fv59/tj/Jf93/8L/zf9o/qz96f1g/R/9GP02/Wb9mv3M/gL+Pv58/r3+//8u/yT+0/5l/hb+A/4c/kb+df6q/t7/D/84/1L/R/8N/rb+Yv4e/eP9rv2K/YL9kv2w/dv+GP5X/n3+gP5x/mf+Zv5i/lf+Uv5Y/mH+Xv5P/jr+IP37/c/9rf2a/Y39dP1I/Qv8vfxh/Ab7w/ud+3/7T/sI+rv6efpK+in6Cfne+aL5Y/kt+Pz4ufhd9/v3qfdg9wf2l/Yn9dP1nfVx9UX1J/Uj9Sf1C/S79Evz4vOW81XzDPK68nDyMvHw8aPxVvEY8OHwo/Be8CTv/e/k78rvqu+E71vvPO8t7yXvC+7i7tHu+u9M75DvpO+c75zvru/H79vv4O/C71rucuzo6t3o1+eJ51XoAOjy6cTqgOtN7Bjso+zZ7Obs/+0p7U7tYe1p7W3tb+1s7Wjta+197aPt2O4P7kDuce6k7tXu/+8s72bvqe/k8A/wN/Br8Kvw7fEq8Wfxp/Hq8i7ycPKu8ujzKPN088b0EfRU9Jn06fU/9Yj1uvXa9fH2C/Yr9lP2fvap9tP2//cs91b3evec98P38Pgj+Fj4ivi6+O35I/ld+Zn50voI+j76d/qy+vD7Lvtr+6n76/wz/H78y/0Z/Wf9sf31/jD+a/6o/uf/I/9g/6L/6wA3AIUA1AEkAXABtwH9AkIChgLFAwIDRQOIA8MD9wQuBG4ErQTkBRoFUgWGBbEF3AYUBlUGjQa8BvAHMQdqB5QHzwhCCOgJkgoaCncKlwpfCeYJmQnuCtwLwQvzC1YKZAmtCWcJawmGCaMJwwnkCgEKFwoqCjsKRQpLClQKZwqBCpwKtQrcCyMLjwwEDEoMQAwCC9wL/QxIDHEMZgxnDLkNRg2mDYQM5QwcC3QLCQrQCq4Kkgp3Cm0KgAqpCtEK4grbCsgKuQq5CscK1wrcCtMKygrLCtYK3QrbCtUK1grhCvYLCQsSCwwLAwsGCxoLMgtAC0ILPws7CzQLKgsfCxMLAwruCtYKvgqkCoMKWAorCbgJkgl/CXcJcAltCXMJiAmiCbEJogltCRoIwwiDCGoIbwiBCJEIlgiOCH4IawhXCEEIKggdCCAILwg7CD0IPwhMCGUIfwiQCJMIjQiDCHgIYwg6B/4HvgeOB2wHSgclBwoG/wb3Bt0GtAaKBmkGSwYpBgMF2wW0BYwFagVOBTMFGQUEBPkE7gTVBK0EgQRcBD4EKQQfBB0EGQQSBBoEPwRuBIMEbwRPBEIETQRaBGQEewSoBNUE5ATRBLYEpwSbBIQEXwQ6BBgD9QPPA68DmgOIA3UDagNrA2wDXQNAAyYDGAMMAvMCzQKgAnQCTQIyAiUCHwIYAgUB6AHDAZsBdQFUATUBGAEDAQABDAEWAQoA4wC0AJQAiwCMAIEAZwBQAEsATwBMAEAAPgBSAG8AfQB0AFoALv/r/5T/Qf8K/vL+7P7j/tD+tf6a/nz+V/4o/gH98P3x/fP98P32/hL+Lv4l/ej9if0j/MX8cPwd+8b7bfsa+tH6gfog+bn5aPky+Pv4svho+D74Nvgu+A/33/ez94/3avc89wL2vvZz9ij13/WY9Vj1JPTw9Kf0TfP/89TztvOE8z/zAvLW8qXyYvIX8dHxgfEa8KXwPe/k74jvFu6U7h7t4+357izuAO0i68jqmeoR6hjqPupD6jPqK+oi6gHpyOmJ6UrpAeix6GboIefY54nnP+cC5srmieZC5f3lveVx5RDkoeQ149XjgOM94xfjC+MB4uLirOJv4jDh6eGb4VLhHOD54OHg2ODk4QLhJuFB4UbhJuDr4LzgvuDu4R7hJeEF4NngueCn4J7gleB74EjgCt/b37/fqd+O337fht+Y35bfd99R30TfXt+c3+7gQuCH4LXgzuDW4MvgouBX3/zfq99332LfZN9535zfxt/x4B3gUeCR4NzhM+GW4f3iVuKa4tXjGuNs47zkB+RZ5LrlJuWO5e/mTOao5wLnWOeo5/DoLuhi6Izoq+i86LvooOhp6DLoMOiF6SXp3+qP6yzrs+wb7G3sx+0x7YntsO3H7hXusu9j7+DwHvBP8Jjw8fFA8XzxqvHN8e3yHPJs8tDzKvNt86Dz0fP39Af0BfQN9DL0bvSy9Pr1SfWd9ev2MvZ49sT3Gfd49+f4afjy+XT56PpH+or6tvri+x37Yfuh++f8QPyg/Oj9Ef1C/aL+K/65/zv/vgBHAMsBQAGrAgoCWgKdAuYDSQPQBHUFJQW1Bf8GCwYZBmAG2wdfB9MIQAi3CTQJrAofCo8K+wtXC40LnAu2DDsNUg6gD5QP/xA1EIQQzRDGEHMQAw9tDn8NbgzbDTAOHA8AD6AQMBDGETMRUBFDEUMRURFTEUYRQBFFEUwRVhFuEYURhhF0EWkRcRGBEZARpBG9Ec4RzxHHEcQRxhHJEdAR3BHjEd8R1xHXEeAR7hH/EhMSIxIuEkISbxKsEtcS4xLjEu8TChMiEzETPRNNE18TdBOOE6sTxBPZE+YT6RPgE9YT3BPxFAQUChQLFBMUHhQgFBgUERQbFDsUbRSoFNYU5RTdFNwU8xUOFQgU4BS+FMMUxRRoE3USGBC1D4YOhA2wDU4NqA6jD7QQYRCeEKwQrhCVEGIQOxAqEAUPtA9pD2kPnw+pD08Ovw5FDfoNzw3FDdsN5g2zDVcNIA0oDSgM1gxOC+0L0wvRC7sLowuiC6MLhQtMCx0LAgriCrQKjQqBCoIKdApICgIJuQmGCXMJaQlHCRQJCAlHCaUJzgmbCTgI5gi7CKUIjwhxCEwIIwgAB90HsAeAB3AHlQfLB9MHlQc8BwAG5QbJBpwGcAZVBkYGMwYcBgcF8gXTBaQFbwVCBSYFGwUUBQIE3wS3BJoEiAR4BGAESgRBBEEEPgQ1BDIENwQ5BCkECgPvA+AD1QPBA6UDigNwA1IDNAMZAwEC5gLPAskC1ALgAuEC3wLkAu0C7QLhAtMCygLDAsACzQLrAwoDFQMPAwYDAwMAAvcC8ALyAvwDBAMKAw0DEAMTAxoDKgNFA2ADdAN+A4EDfAN3A4ADpAPXA/ID2gOjA4UDpAPmBBMECgPgA78DuAO9A78DvAO6A7gDsQOfA4QDZQNLAzsDLwMgAw0C+wLtAt8CzwLCArcCpAKDAl0CRAI3AisCFwIHAgEB/AHuAdgBxQG5AbEBrAGrAawBpgGUAX4BbAFbAUYBKgEHAN8AsQCCAFkANAAO/+P/tv+H/1n/Lv8M/vH+0v6r/oT+Y/5M/jn+Kf4c/g/9/v3o/c39r/2L/WL9Of0V/Pb82Py8/KH8h/xq/Ej8JPv/+9b7qPt7+1P7MvsQ+un6wPqY+m/6QvoV+e/50fm0+ZD5avlE+R748/jF+Jr4cPhB+A332/ev94b3V/cn9vz21/ay9oz2aPZI9ib1+/XL9Z31c/VI9Rv07vTC9Jj0a/Q49ADzx/OQ813zL/MC8tTypvJ58k7yJPH88dPxp/F48UrxIPD78NvwvfCg8IDwXPA58Brv/u/g777vnu+F73PvY+9R7z7vKe8T7vnu3u7F7rDune6J7nfubO5m7l/uUu5C7jTuLO4n7iLuH+4g7iHuIO4i7ivuPO5P7mDucu6H7pvurO647sTu0O7f7vPvCe8i70Dvau+h79rwCvAy8FrwhvCx8Nfw+/Ei8U7xf/G38fPyLPJd8orytfLd8wDzJ/Nb85rz2fQP9D/0Z/SD9Jz0xPUI9Vz1rvX59kH2hfbB9vf3Mvdy96333vgO+ED4bfiT+Lv47/kn+Vb5evmc+b351fng+eD53vne+ev6DfpG+pT6+Pt1+/38efzg/UX9t/4t/pn/Bv+IAAUANf/a/wT+Bv1A/Of89/05/XL9i/2j/eL+SP6v/vn/Jf83/yv/AP7I/p7+hP5z/m7+if7J/xf/Vv95/3//Yv8j/s7+ff5D/ij+J/49/l/+hf6t/tv/DP8t/y3/Ev71/un+6P7i/tX+z/7S/tX+yv6z/pX+c/5N/ir+D/33/dP9of1u/T/9BPyy/FT8CfvZ+637bfse+tT6mvpt+kv6MPoR+d/5nPlZ+SD44viU+D/38ven90r22fZu9if2A/Xp9cX1lvVr9Uj1IvTo9Jr0SPQD88nzjfNI8wPyxfKJ8kXx/fG78XzxNvDo8KPwcfBP8DDwDu/r78bvo++H727vUO8t7x7vPe9/77vvz++/76zvse/L7+jv/PAG7/3vou6T7KbqSehg56HoBOjq6cLqc+sj69jsbOzM7RXtZO207ert++337e7t5e3V7bntnO2P7Z/txe3y7h/uT+6C7rDu2e8J70nvi+/A7+rwF/BQ8IvwwPDz8S3xcPG58gbyU/KX8s/zCfNR86Tz9PQ89IT01/Us9XP1ofW69c716/YT9kH2bPaS9rj25PcV90L3aveO97H32fgG+Db4Z/iZ+Mz5BflB+X35t/nu+iX6XfqX+tT7EvtN+4f7xvwM/FX8n/zr/Tz9jP3T/gz+QP54/rP+8P8u/3D/uAADAFAAnwDuATgBewG+AgMCRgKFAsIDAwNFA38DtQPuBC8EbwSqBOQFIQVaBYoFuwX5Bj8GewasBuAHGwdPB3YHoQfkCDsImQj/CWwJtgmnCVYJPgnWCwMMEwxYC7gKrQnMCVcJPQlQCXEJlQm4CdYJ8AoICh4KLAozCjwKUAptCo4KsArdCyYLjQvxDCUMFAvdC8QL7gw4DGUMYQxlDKsNJQ1/DW0M7Qw6C5gLJQrgCrYKmQqJCo4KrArUCvMK/gr4Cu4K5groCvIK+QryCt8K0QrRCtgK2wrZCtgK3ArhCukK+AsICw4LCgsHCxILJws5Cz8LPgs5CzILKQsgCxYLBgrvCtQKugqbCnAKNQnyCW4JQgkuCSUJHQkaCSYJRwlzCZAJhglSCQMItwiCCGgIYwhnCG4IcwhxCGgIWAhBCCIIAAfrB+8IAggUCBsIHggoCDgISAhQCFEITghICD4IKQgAB8UHigdbBzYHDAbeBroGrgauBqQGhwZgBjwGHgYFBe4F0gWtBYQFYQVIBTEFGAUEBPgE6wTOBKEEdQRVBD8ELgQiBBwEFQQQBBoEPgRrBHsEYgQ7BCkENARHBFwEfgSvBNkE3QS/BJwEiAR3BFYEKQQGA/ED3wPDA6IDgwNsA1oDUQNQA0wDOgMdAwAC6ALOArACjwJuAksCJwIKAf0B/QH8Ae0BzQGgAXIBTQEyARgA/QDqAOoA9QD2AOAAuQCTAHwAbwBgAEgALQAcABsAIwAoACkAMABBAFYAbACHAKAAmABN/8b/Nv7W/rX+t/62/qL+hP5o/lD+M/4M/ef9z/3A/bD9qf3D/gD+Of46/fP9gf0L/KL8SPv3+6z7Y/sc+tX6ivoz+dr5kflh+TX4+/i7+I34dvhg+Dj3/vfD95T3cfdQ9yL24PaT9kP17vWQ9TT08/TM9KP0ZvQk8/DzwvOD8zjy9/LC8oPyMfHh8Z/xW/D/8JHwJ+/G71/u6O5m7fDtqe2i7bLteOyu64Lqf+oJ6grqJuoo6hrqD+n76dDplOlW6RXoyuh46Czn5uec503nAubB5oPmP+X25bHlcOUp5NTkduQX47rjYuMT4tviu+Kl4obiWeIi4eLhmeFO4RDg5+DL4LDgmOCM4I/goOC+4Nrg2uC34I3giOCw4N/g6uDK4JngceBb4FPgSuAr3/LfsN9+317fPN8U3vje+d8K3wze997i3uzfHd9p37nf/uAw4FDgXeBV4DbgAd++333fSt8t3yXfLN9E323fot/b4BHgSeCH4NHhJeF/4driLeJx4q/i9uNJ46Dj9eRM5KvlDOVo5cHmIOaL5vjnWuet5/LoL+hk6I/oqui26K/oiuhG6AfoCeh06S/p/eq0607rzuwx7IHs3e1L7ajt0+3t7kDu4O+P8ALwOPBn8LfxF/Fp8aXx0/H68hvyRvKK8uLzN/N386nz2fQB9BX0FvQd9D30cvSv9O/1NvWF9dj2KvZ/9tf3LveK9/b4cvj0+XT58/pt+tD7EPs6+2r7pfvk/Cf8d/zM/Q79Qf2J/f/+kf8Z/5AACQCLAQgBdAHWAjUCiALTAywDrgRaBRwFzgZFBmkGXAZlBrQHNQe3CCcIlAkKCYAJ7wpbCskLOAugC+0MBwwIDFwNYA7ZEAcQbRBTEFcQphDaEJIPzw7IDa0Mxwx9DPsN7g7UD4UQKhDTEUwRbxFhEWEReBGDEXURYhFeEWwRihGsEcIRwBGwEagRrxG6EcMR0hHoEfoR/xH7EfkR+BH5EgESDxIbEiESIhIjEiMSIhIrEkESWRJsEoQSrxLiEwETBRMFExUTMRNHE1ITXBNvE4YTnROzE8oT3xPwE/kT9xPuE+kT7hP9FAoUFBQfFCsUMRQtFCUUIhQpFEAUcBSwFOgU+xT0FPUVERUrFSAU+BTpFQYVDBSSE3AR8xCOD3IOiA3TDZsOIA8xEDcQwhDeENoQ2hDEEIwQVhA3EBYP2g+oD7YP9BALD78PMQ6tDlgOJQ4BDdkNoQ1jDVkNsA4uDkoNuAzKDBQL0AvEC68LlAuRC5oLjAtnC0QLKQsBCswKrAq8CukK/wrXCm8J8QmaCYYJkwmACUIJIgldCc4KCgnXCWMJBQjgCNkIxwidCGYINwgZCAcH7wfLB6sHoweoB5kHbgc7BxYG+wbWBqYGewZcBkUGMQYhBhgGDQX0BcoFkwVcBTcFKgUrBSEE/wTTBLUErQSrBKAEiQRvBFsEUgRWBGQEbwRnBEoEJgQNBAAD9APeA8ADoQOEA2kDUAM8AyUDBgLpAtwC4gLsAuwC5wLqAvQC+gL4AvgC/AL8AvQC7gL1AwMDBgL6AvAC8gL7Av4C+QL0AvUC+gL9Av4C/gMAAwoDIgNCA1sDYQNdA2QDfAOZA68DxQPpBA4EDgPeA6UDngPPBAcEEgPuA8QDsgOzA7cDuQO+A8QDxAO2A50DfgNiA00DPgMuAxwDCwL7AukC1QLFArkCqQKKAmUCSgI8Ai8CGQIDAfYB7AHbAcEBrQGjAaEBoAGfAZkBiwF1AV4BTQE/ASsBDQDnALwAkABnAEQAI//+/9T/qv+C/1z/Nv8R/uv+xP6d/nv+Yv5O/j3+MP4n/h3+Df32/dv9vf2b/XT9Tv0t/Q788PzT/Lj8nPx8/Fr8N/wT++r7vPuR+277Ufsw+wn64Pq5+pL6Z/o6+hT59PnV+bH5iflh+Tf5DPjf+LX4jfhg+C/4Avfd97v3lvdt90f3I/b/9tn2tPaR9mn2OPYB9c31oPV09UP1EfTh9LT0hPRR9Bvz4/Or83TzQPMQ8uLytvKJ8l7yNPIL8eLxt/GL8V7xNPEN8OrwzfCv8I3wZ/BB8CLwB+/t79Dvsu+Z74XvdO9j70/vOe8h7wnu8O7X7r/uqe6V7oXue+517m3uXu5L7jzuMu4q7iPuIe4k7inuKu4u7jruTu5j7nXug+6R7p7uq+667sru2+7w7wjvIu89717vi+/D7/rwKPBP8Hjwo/DJ8OrxDPEy8V3xjPHB8fnyLvJc8ojyt/Lj8wjzL/Ni857z1/QI9DT0WvR49Jb0xPUK9Vr1p/Xw9j32ifbM9wf3Q/eA97b35fgS+EP4cvic+Mz5CPlE+XT5nfnK+fz6JvpA+kz6UPpO+k36Vfpr+on6tPr2+1D7tvwe/In8/f1z/ej+af8A/4r/wv90/qr9sPzv/Lf9CP2M/dX9vf2K/Zr+Bv6W/wf/Q/9c/2b/af9p/17/N/73/sL+wv78/0b/d/+D/3v/a/9P/yL+7/7J/sX+5/8e/1L/dv+Q/6//0P/g/9P/tP+b/5H/iv93/1z/Qv8x/yP/Ef75/tz+uv6X/nv+ZP5A/gH9tv19/Vz9NPzr/I38PvwI+9L7i/tA+wf63Pqv+n36Ufor+fn5s/lp+Sv49/i6+HP4Kffd94T3HvbB9oP2ZfZR9i/19vWw9XD1QPUU9Nv0k/RN9Bbz6PO183rzPvMB8sHyfPI58ffxrfFc8Q/w1PCo8IHwW/A48Bbv8+/P76zviu9t72Xvgu/A7/3wFO/+79fvwO/F79fv7PAN8DnwL+9v7a3rQOkZ6AzoN+kN6e7qo+s/69PsUOyw7QftZu3D7gPuGu4W7gzuBO3z7dDto+2H7Yztqe3Q7fvuLe5i7pHuu+7v7y/vau+W777v9PAz8GnwkvC88PfxQPGR8ejyPvKI8sDy8vMw833zzfQY9GP0tfUI9U71fPWY9a/1zvX49iX2TfZx9pj2xvb39yb3UPd295v3wPfq+Bj4Svh8+LH46Pki+Vv5k/nK+gH6Ofpz+rD67vso+1/7m/ve/Cb8bvy7/RD9Zf2t/eT+E/5F/n/+vf79/z//hf/OABkAaAC2AP8BQQGBAcQCBwJGAoQCwwMDAz8DdwOyA/MENARyBLAE7wUqBV8FmAXbBiMGYgaZBs0HAgcxB1gHhAe2B+QIDghJCJsI3AjkCNUJHgoCCzwMJgxEC6EKqwnTCUsJFAkWCTYJYAmGCaYJwgndCfcKCgoWCiIKOwplCpcKxwr8C0MLnAvrDAoL7gu9C64L2gwiDFIMXAxnDJ4M+g1DDUQM8QxqC9oLXgsECs8KtgqzCsQK4gsACxQLHgskCyoLKwsrCywLJwsWCvwK6QrlCukK6grnCucK5wrgCtkK3grwCv0K+QruCvILCQslCzcLPgs9CzcLLQshCxMK/wrjCsMKogp9CkgKAQmyCTAJBgjxCOoI6AjqCPcJFwlBCWAJWgkrCOcIqgiACGUIUQhECEIITAhVCFYISQgvCAkH3gfBB70HzQfgB+wH8gf6CAQIDAgQCBUIGwgaCBAH+AfRB58HbAdBBxgG5wauBn8GagZrBmwGXwZBBh0F/wXsBeAFzQWqBX0FWAVCBTAFGgUFBPcE5wTGBJYEagRNBDsEKgQcBBYEEgQQBBoENwRZBGIERgQdBAcEEAQoBEgEdASoBMsEyASmBIMEbARUBCoD+APWA8wDyAO1A5EDawNQA0QDQwNCAzMDFQLwAs4CsQKSAnICVwJCAioCCAHmAdMB0gHWAcwBqQFzAT8BHgEOAPwA4ADFALwAwQC/AKgAiQByAGMAUAAyABL/+f/q/+X/6P/yAAYAIAA4AEoAZQCdAOcBCQDHAB//Vv7E/oj+h/6L/nr+V/40/hj9/v3i/cX9qf2K/Wv9Y/2P/ez+RP5X/hX9nP0W/Jj8K/vV+5X7WvsX+s76hvpB+f35wPmT+W75RvkY+O34zvix+In4TPgC9733iPdf9zH28vap9mD2DvWm9Tj04/Sz9Iz0VfQU89zzp/Nl8x3y4PKu8nDyIfHT8ZPxT/D18IzwIe+270Luyu5W7erti+1H7Rfsx+wi6zzqcuoN6gLqEOoP6gPp8+nW6aLpZOkl6OPolehB5/Pnqudf5xHmxeaA5j7l+eWy5W3lKuTk5JjkROPt45bjP+Lt4qficOJH4iPh++HK4Y/hTOEM4NzguuCf4IDgXuBA4CrgKOBF4HTgkOB/4FTgPOBQ4HbgiuB+4GHgQuAq4BzgC9/p367fa9823xDe5t623pHehd6E3n3eb95y3pbe2d8o327foN++38nfw9+q34LfU98p3wje897n3uje998X30vfi9/J3/zgLeBq4LfhDuFk4bfiB+JQ4pPi2+Mt44jj5eRB5Jrk8OVD5ZvmBOZ75vLnWeer5+/oLOhj6I7oqOix6KLocegi59zn5Ohd6SnqBOrD62Lr5exK7J3s+u1s7dPuEO477o/vHO+v8A3wP/B58NbxPfGN8cHx7fIZ8kPyb/Kq8vTzP/N786zz2PP99BT0H/Qy9Fn0jvTF9Pz1PfWK9d72NfaS9vH3T/ew+CD4mPkK+XX57/qB+xD7dvut+9P8BPw//ID8yP0S/VT9kf3n/mX+9f91/+QAVgDQAT8BoAH+Al4CtgMIA24EAwS+BX4GGgZzBosGiQarBwsHiwgDCG8I4AlXCcgKNQqlCxcLgQvoDD8MXQw+DFMNMA7HEDgQthBvEDwQhxDXEIIPcw4iDQcMYQxVDOoN3Q7ID30QFBCmERgRTBFXEWgRiBGcEZYRhhGFEZoRuhHaEewR7hHqEewR8hH2EfcR+xIIEhcSIhIqEi8SMBIuEjESPhJPElwSZBJkEl0SWhJoEoYSoxK5EtAS8xMXEycTJhMpEz0TVhNmE20TehOQE6kTvhPRE+cT/hQOFBEUCxQFFAYUDRQTFBcUIBQvFDcUNBQpFCQUJBQpFDwUbRS1FPIVCBUIFRcVPBVSFTsVEhUOFTIVJhSDEz0RtxBbD0gOZw3NDcoOhQ+qEJkQ+BD3EPcRFBEhEPsQuBB5ED0QAA/gEAYQWxCIEEoPtA8VDqYOZQ4xDe8NoQ1zDacOSw76DxUOWw0zDEkL5gvQC7kLlwuLC5ALjQt7C2sLYAtBCwoK4ArrCyULWgtICtwKQgnPCbMJywnBCYIJWAmNCf4KNAnvCWcJBAjrCPII4gi0CH4IVghBCDUIIgf8B8oHnAd4B10HRgcyBxsG+gbRBqoGigZuBlEGOwYuBigGHwYNBfEFxgWOBVsFPwU3BSwFDQTmBM8EzQTQBMUEpwR/BF0EUwRlBIUEmASPBG4ERwQrBBoEDAP7A+IDxQOnA40DdwNjA0kDKQMIAvQC8QLzAvIC7QLwAvgC/wMEAw8DIQMpAxoDAALvAu4C7gLlAtsC3wLzAwQDBwL/AvgC+AL7Av0C/AL+Aw4DMQNdA3wDfgNwA28DjAO2A9ED4QP8BCUEOAQWA9cDuAPTBAIEEgP7A9wDzwPKA78DsQOwA70DygPIA7YDlwN2A1oDRQM0AyMDEgMDAvAC2gLGArYCpQKKAmkCTwJDAjgCJAIMAfkB6QHTAbcBnwGTAZIBkQGMAYEBbgFXAUMBNQEmAQ8A7ADDAJgAcgBRADUAFf/u/8H/mf93/1j/Nf8M/t/+tf6S/nj+ZP5S/kP+Ov40/ir+F/3//eT9x/2m/YT9ZP1G/Sj9Cfzr/ND8s/yU/HL8UPws/AP71vuu+477cftR+yr7APrW+qv6fvpT+iv6Cvnp+cb5ofl6+VT5LfkG+OH4vviY+HD4Sfgn+Aj36ffG96L3e/dR9yP29fbJ9pj2XvYi9ev1vvWS9WH1LfT79Mz0m/Ro9DPz/fPG847zWvMq8v3yz/Kf8m/yQvIW8ezxwfGW8WvxQfEa8Pfw2fC78JjwcvBO8DDwFu//7+bvy++x75rvh+9172DvSe8x7xrvAu7o7s3utO6g7pLuiu6E7nnuae5Y7kzuQ+467jLuL+4z7jjuPO5C7k/uY+537ofuku6d7qjutu7I7tvu7u8E7x3vOe9X73nvpu/b8A3wOPBh8Izwt/Da8PrxHvFI8XTxoPHQ8gXyNvJh8o3yvPLq8xPzPfNt86Hz0fP89Cb0T/Ry9Jb0yfUQ9V71pfXq9jb2hvbP9xD3TveI97n35vgX+Ez4ffiq+N35GvlV+YP5rPng+hv6T/p4+pf6r/rA+tD64vr1+vz6+fr8+xf7SfuI+9D8I/yC/O39af3r/lP+dv4+/bP9BvyN/Jj9M/35/l7+Kv2t/W79qP4y/sT/Of+W/+MAIwBLAEkADv+v/2L/Vf99/6b/qf+O/3v/g/+Z/6X/nf+R/5z/yAAEADAAPAA6AEMAXQB2AHwAcQBgAEkAJ//1/7z/iP9f/0D/Kf8X/wT+7P7R/r3+p/55/in90P2V/Xz9X/0d/MX8evxE/Ar7v/t3+0b7H/rm+pz6W/ot+gD5wPl1+TL4/PjE+IH4N/fr95r3Rvb89sr2sPah9of2U/YJ9bn1ePVD9Qj0wfR89Ez0L/QR8+XzrPNs8yjy4fKa8lTyCPG38WrxK/D48Mrwn/B68FnwNvAQ7+jvxe+t76zvzPAE8DjwRvAp7/rv1O/A77nvvu/c8BLwGO937eLrpOmN6GToW+kO6fbqzOt/7BDsduy37OvtKO1t7aLtuu257bLtru2n7Y/tbO1W7V3te+2h7c3uA+497m/un+7W7xTvRu9q75bv1/Ag8FfwfvCq8OnxNPGC8dbyLfJ58rDy3/MX817zqPPw9Dn0hfTQ9RL1RvVt9Yz1q/XP9fT2GfY/9mz2n/bS9wD3K/dV93/3qPfV+Ab4Ovhs+J340PkF+Tr5cPmn+eD6GPpT+pP60vsL+z77dfu0+/r8Q/yQ/Ob9Ov1//bL93v4Q/kv+i/7M/w3/Uf+X/+EALQB5AMEBBAFEAYUBxwIHAkYChgLGAwMDPQN5A7kD+gQ5BHcEtgTzBS8FbgWyBfkGOwZ5BrMG5gcQBzkHaweeB8MH3wgJCEMIdAiTCNcJhwqaC5wMBwu7CwEKOgmYCScI6QjfCP0JKQlSCXMJkQmtCcoJ4gn0CgYKKQpiCqkK6wsmC2gLsAvnC/ELzAufC5cLwwwGDDgMUAxkDJEM0w0NDR8M+wyjDCULngswCvEK4ArsCwQLHQswCzsLRgtVC2ULagtlC10LUgs+CyMLDQsECwQLAAr5CvIK6graCsoKywrdCuwK5grXCtkK9QscCzoLRwtHCz8LMQsfCwcK5gq8Co8KZAo3Cf8JuQlvCPsI1gjCCL8IyQjYCOkI/QkYCS0JKgkFCM4Imwh2CFcIOQghCB0ILQhCCEsIQQgmB/wHywemB5kHowezB70HwQfHB84H1QfeB+oH9gf5B+4H1ge3B5EHaAc+BxEG3AafBmgGRgY7BjsGNgYjBgQF5gXUBcwFvQWcBXEFTwU9BTAFGwUEBPIE3gS7BIsEYARCBC0EGwQOBAwEEQQUBBoEKgQ8BDsEHAP1A+ED6gQGBC0EXQSNBKgEoQSDBGYEUQQ1BAgD1AOzA6sDqwOcA3gDTwMzAy0DNAMxAxUC5wK5ApcCfQJgAkMCLQIgAg0B7QHHAa0BpwGqAaQBgwFLARUA9wDvAOAAvACSAH4AfwCAAHAAWgBNAEMALgAN/+7/2f/J/7n/r/+2/9D/8gALABoANQB7AOEBKwEMAHP/n/7s/ov+bv5n/lT+Lf3+/df9uv2l/ZL9d/1P/SP9GP1P/cH+Mf5c/iz9vv01/Kn8KfvI+4f7T/sK+rz6efpH+hr56vnB+af5k/l0+Un5G/jz+Mj4jvg+9+T3lvdY9x723faY9lX2CfWm9Tn04PSo9Hf0OPP087nzhPNH8wjy1PKn8m7yJfHb8ZTxRPDk8H7wF++n7yzuu+5f7f3teezm7GvsCuuY6wLqb+oX6f3p++n26enp1Omv6XbpNejz6KzoW+gH57jnbeci5tXmiuZD5f3lueV15TDk6uSj5FnkDOO642fjFOK/4mriIOHo4b/hmeFs4TfhAeDQ4KrgiuBs4EvgJt/939ffyd/m4CDgSeA94Arf3t/Z3/HgDOAb4B3gFOAB3+rf1N+z34DfRN8M3trep95z3kreL94Z3gPd/d4Z3lPel97S3vvfFd8g3xzfB97j3rjemN6L3ozelN6e3rHe0N7+3zffc9+n39Df/OA+4Jbg8+FJ4Znh6uI54oHixuMU43Hj1OQz5Ink2+Uw5ZLmBOZ95u/nUuel5+roJ+hb6Iboouin6IzoS+f157rn1uhe6TDqC+rK62vr8+xg7LntFe2D7e7uO+517sXvOO+u8APwQvCR8PvxY/Gq8dXx/PIq8lzyj/LH8wjzS/OI87vz5vQI9B/0NvRZ9I70x/T79S/1bvW49gn2Xva79xz3fvfo+GP44/lO+aX6DPqi+0371Pwf/Er8d/yu/On9Kf1t/a/98v5K/sL/SP/CAC8AnwERAXYBzwIrAosC5AM4A6EEMwTeBX8F+wZJBnQGngbrB14H2ghHCLEJJgmfCg4KgAsBC3wL2QwlDG4MhwxTDDsM9w6hEE0Q8RCZED4QehDTEHoPVA4CDRoMvQzcDXAOVA8yD8UQFRBVEJ4Q4REYEUoRexGdEakRrhG9EdYR7hIAEgsSEhIZEiESKRIuEi8SLxIvEjMSPhJPEl4SZhJnEmoSdRKFEpQSmxKWEpASlRKuEs4S5hL3Ew8TMBNKE1ETThNXE2wTfxOFE4sTnBO3E88T3hPtFAUUIRQzFDEUJhQgFCYULxQwFC4UMxQ+FEMUOxQzFDIUMxQ0FEUUehTEFP0VExUdFTsVZBVuFU0VJhUnFTkVBBQ8EvIRgRAzDxkONg2/DfkO4hAEEMkRABDxEPwRMRFYEUQRARCxEGQQIhAEECUQchCeEGoP3Q8/DswOig5YDhgN0g2xDeYOcQ72DvQOOg0gDD4L3AvLC8ALqQucC5wLlguHC4ILjAuEC1QLEgr3CxoLWgtwCyoKnQoeCe4J+QnyCbwJlgnFCiYKSwn4CW0JDgj8CQUI9AjHCJsIgQhyCGAIQggUB9cHlAdbBzYHJwchBxIG9QbXBsEGrwaTBnAGVAZFBjgGJAYPBgEF7AXCBYwFYAVFBS4FEQT1BOcE5ATfBM4EsQSMBGoEXARuBJEErQStBJUEcQROBDMEIwQXBAQD6APIA6wDkwN7A18DQgMpAxcDDQMJAwYDAwMDAwYDCgMSAyIDOQNEAzIDCwLuAuoC8gLxAuMC3wLvAwcDEwMOAwMDAgMJAw4DDAMMAxsDPwNxA5sDqgOiA5gDnAOoA60DrwPEA/EEFwQTA+8D2QPqBAgEEgQIBAQECwQEA+EDtgOjA64DxQPRA8gDrQOIA2UDSwM5AykDGQMJAvkC5QLPArwCqAKPAnACVwJLAkICMQIZAgIB7QHUAbUBmAGGAX4BeQFxAWIBTwE6ASkBGwEMAPMA0QCpAIMAYgBFACgABP/Y/6r/gf9i/0b/J/8A/tb+r/6R/nz+a/5b/k7+R/5B/jX+If4J/e/90f2w/Y/9c/1Z/Tz9Hf0A/OX8yvyu/I/8bfxI/B/79vvR+7D7kPtt+0T7GPro+rn6i/ph+jz6G/n9+d/5wfmj+Yb5aPlJ+Sn5Cfjo+MT4nfh2+FL4MfgP9+f3uveI91L3Hfbq9rT2efY99gn13fWz9YP1UPUd9Ov0t/SA9En0FPPe86nzdvNI8xzy7PK48oPyUvIk8fnxz/Gm8X3xVPEu8Q3w7vDM8KbwgfBh8EbwL/AX8ADv5+/M77Pvne+J73PvWe9A7yjvEe727tjuvO6o7p7ul+6P7oLuce5j7lvuVu5P7kjuRu5K7k/uUu5X7mHuce6B7o7umu6l7rHuwu7X7uzvAO8W7zDvTu9t74/vt+/l8BHwOvBl8JPwvvDi8QLxKvFZ8YbxsfHh8hXySfJ28p/yyvL18x/zS/N786rz0/P79Cb0U/R79KT02vUh9W31svX09jv2hvbM9w73T/eK97v36fge+Fj4jfi9+PL5LPlj+Y/5uvnv+in6XfqL+rj64/sJ+yv7UPty+3/7dPth+1n7YPtw+4j7q/vk/DH8ivzZ/QX9CPzp/K78Y/w0/Gf9GP37/oj+df35/Y79f/3K/kv+6/+dAEsA1wEoASwA5gCAADQAJAA2ADUACv/S/7b/x//zABwAMgA8AFIAgwC/AOMA4QDLAMMA2QD+ARgBGgEDANQAkQBE//j/t/+D/1z/RP83/yz/Hf8N/v7+5/6x/ln9/P3A/af9iv1N/P78vfyO/Fj8D/vJ+5L7WvsJ+qn6Xfo0+hb55Pmf+Vb5FfjW+JL4Svf/97D3Zfcs9w33Avb59uL2s/Zq9hL1ufVr9SL02/Se9Hb0YfRM9Cjz8/Oy82vzIfLX8o7yQvH18a3xcPE+8RLw6/DH8KPwfPBQ8CTv/+/p7+7wEvBG8GnwZfBB8BTv7e/K76vvne+17+nv8e9i7gDsBeoT6M3odujm6cXqxuuz7GXsy+zv7Pbs/u0W7TLtQe097TPtMO0x7SrtG+0Y7SvtT+137abt4O4g7lnuju7H7wDvKu9K73rvxfAV8FHwgPC48P3xQ/GE8cryGfJi8pzyz/MI80rzjfPO9BD0U/ST9M/1CPU99Wj1jPWr9cn16fYQ9kL2evat9tf3APct91z3i/e89/P4Kfhc+Ir4ufjr+R/5VfmP+cj6Afo9+n36vfr0+yT7VfuR+9T8Gvxm/Lb9Av1B/XP9of3X/hX+Vv6V/tX/GP9d/6P/6wAzAHoAvgEAAUIBhAHGAggCSgKLAsoDBgNCA4ADvgP9BDsEegS5BPgFOwV/BcMGBgZKBooGwAbqBxUHRQdzB5kHwwgCCE0IiwjMCVAKOgtDC9oLqgroChcJhQkqCOcItwiuCMkI9QkeCUEJYQmACZ8JugnSCe0KGgpiCrsLDgtRC4sLvwveC9ULrAuHC4oLuAv3DCYMQAxXDH4MswzpDQsNCAzQDF8L0QtWCxULDQskC0ALVQtiC2kLcwuDC5ALkguGC3kLbgtfC0gLLwsgCxgLDgr/Cu0K3QrOCsUKzArgCu4K6ArZCtwK/AspC0sLVgtQCz4LJQsHCuEKsgp5CkAKDAnbCaUJaQkuCM0IrwidCJ4IsgjOCOMI7wj7CQcJBgjrCLwIighhCD8IIQgMCAsIHgg0CD8IOAgeB/QHwgeaB4sHkgeeB6EHnwehB6kHtgfGB9cH4gfiB9QHwQetB5UHcwdHBxYG4AaoBnEGQwYmBhgGEQYGBfAF1QW/BbIFowWHBWMFRwU3BSsFFgT8BOQEygSoBH0EVQQ3BB8ECgP9A/0EBQQLBA4EFAQYBAsD6wPKA7wDywPsBBcERARqBHoEbwRWBD8ELAQRA+cDuwOcA5EDjAN7A1YDKgMMAwYDDAMFAuECrQKBAmUCUAI3AhwCCQH9AewBzQGoAYwBfwF8AXQBVwEnAPgA3QDTAL4AkQBeAEYASQBOAEIALwAkAB4AE//+/+r/1//A/6X/kf+J/4r/h/9//3z/lv/iAFkAxQDjAJD/7v9B/sH+eP5T/jP+Bv3O/Zn9df1k/Vn9Qv0V/N/8yPz5/W/98P4z/hv9v/1C/Ln8NfvL+4L7Qfr0+qP6afpI+iv6A/nf+dD5zPm2+X75Mfjq+LH4d/gr9873c/cp9ur2q/Zn9h/10PV19Rv01fSi9G70KvPk86nzdPM68v3yyfKa8mDyGvHT8YfxLfDG8GPwAO+O7xDuqO5e7f/tWeyJ6+PrietL6u7qeeod6fTp6enh6c/psumE6UjpBOi+6HLoIOfM533nMebm5pvmUuYJ5cHle+U35PPkq+Rk5Bzj0+OG4zfi5OKI4iXhzeGM4WHhPeEU4OfguuCS4G7gS+As4A7f69++35Hff9+d39rgBt/538DfiN9x33jfj9+s38ff0t/H37Hfm9+C317fLN7y3rXed95B3hrd+N3Q3a3drt3g3ijeX95z3nLebd5r3mLeSt4j3frd5d3u3g3eNN5b3ojevd703yffUd9z35TfxOAQ4HLg1eEs4X3h0OIj4mzir+L841vjwuQk5Hzk0uUz5aHmGOaL5vLnTueh5+noI+hQ6HfolOiU6GjoGefL57Dn7eiF6VDqHurU63Hr+exp7MPtGu1+7eXuO+6D7tHvMu+Z7/fwUPCz8SDxgPHB8efyCPIz8mjyofLc8xvzXvOi8+H0E/Q39FD0bvSc9Nn1F/VP9Yb1xfYL9lX2o/b99173wPgp+Kj5M/mo+f36Wfrk+4/8I/yB/Lr87v0l/Vf9iv3H/gv+Uf6l/w//h//8AGoA2wFLAbACCQJiAr8DFANoA9AEUgTdBVYFuwYTBmYGwQcyB7IIKQiOCPUJawnhCk0KxgtWC9cMIgxNDH8MlgxfDC8Myw5wEDsRBhC5EE8QghDtELsPyg6/DicOCA41DqsPaBAgEHkQaRA8EDwQchDCERYRXRGREbMR0hH1EhQSJxIuEjQSPhJGEkkSThJaEmgSaxJjEloSXhJvEoMSkRKbEqQSsBK9EscSyhLEEsIS0RLuEwcTFBMiE0ATZxN9E34TfBOKE58TqROoE68TxhPkE/kUBBQQFCYUQhRUFFEUQRQ4FEAUTRRSFE0UTBRRFFUUVRRWFFgUURRLFF4UmBThFRIVJRU3FVgVdBVvFVMVQxVJFTMUvxPWEp4RTxAHDtgN9g2xDjEPNRA1EMYQ6BDoEQMRNRFTEUERCRDCEHwQOxAOEAkQJBAzEAkPpA8xDtwOqQ58DkUOCw3oDfAOHQ5BDhcNfQymC/gLrgutC7YLsQutC6wLoAuIC4ALkwuhC4ALMQrwCvILNAtzC2UK/Qp5CiUKDAn7CdQJvAngCikKQAn5CYYJOAkkCSAJBgjcCL0IsgitCJoIcQg1B+sHnQdWByIHBwb9BvoG+gcCBwwHAgbYBp8GcwZaBkEGHgYCBfoF9wXgBbIFgAVXBTQFFgUFBQAE+gTqBNcExgSyBJcEgASABJcEsQS8BLEElQRwBE8EPAQwBBsD+APRA7EDlwN8A2MDVANMA0QDOwM0AzMDMQMrAyUDIwMrAzwDUQNaA0gDIQMCAwADEQMXAwcC9gL7AxMDJQMlAxwDHAMmAy4DKgMkAykDQANlA44DrgO5A68DlQN1A1gDTQNjA5YDygPlA+oD8QQDBA8ECgQJBB8EPwRABBMD0wOsA6kDugPJA8oDuQOZA3UDWQNHAzgDJwMWAwUC8gLbAsUCsQKaAn4CZAJSAkUCMwIcAgQB7wHWAbgBlwF9AW0BYQFVAUYBMwEgAQ0A/QDsANUAuQCaAHkAWQA5ABb/7f+//5L/av9K/zD/Fv74/tX+s/6Z/of+ef5r/l/+V/5P/kL+MP4b/gT95/3D/aD9g/1p/U39Lv0R/Pb83fzD/Kb8hfxe/Db8EPvu+8z7qPuB+1f7K/r9+s/6pfqA+l/6QPom+g/5+fni+cz5tPmZ+Xn5V/k1+Q/45Pi1+In4Yfg5+Az32fei92r3NfcD9s/2mPZi9jD2BfXa9az1efVF9Q/01vSa9F/0KPP188LzkfNi8zbzBvLR8pvyaPI68hDx6fHC8ZrxcfFN8S7xDvDp8L/wmPB88GbwUPA38BvwAO/k78nvsu+c74PvZu9K7zLvGe797t3uwu6w7qfuoe6Y7orueu5u7mjuZe5h7l3uXe5j7mjuae5p7mzuc+597orumO6n7rfuye7e7vTvC+8j70HvYu+D76Pvxu/r8BLwOPBj8JPwwPDk8QfxMvFj8ZLxvfHs8iLyWvKM8rby3PMB8yjzVvOH87Xz3PQD9DD0YfSO9Lv08/U49YH1x/YK9k72j/bM9wv3TfeM98H38/gr+Gn4o/jW+Qj5Pflu+Zr5yfn9+jL6X/qM+r/69Psi+0v7ePum+8b70vvV+9j72fvU+8770vvn/A78OfxV/FX8Rfw6/DT8H/wF/Bz8l/1b/gX+R/4p/ef9uP21/e7+dP9AACsA/gGHAbEBhAEyAPIA2QDOAKsAcQA+ACsANwBUAHMAiwCfAL4A8gEzAWABZwFTAUcBVAFwAYIBdgFNAQ4AwgB0ACz/7/+8/5b/fv9x/2f/XP9R/0X/Kf7r/oz+Lv3w/c/9q/1x/S38+PzO/J/8ZPwn++v7m/sw+sH6dPpU+kH6Hfnf+ZX5S/kH+Mb4hvg89+f3mfdp91/3Zvdg9z73BPa69l/19/WP9TP06/S19I70cPRT9C/z//PE84LzPPL08qvyYfIY8dXxnvF08VfxQPEj8PnwxPCP8F/wN/Ae8CTwTfCE8KHwlPBs8EDwFu/j767vlO+x7/bwG++57pfs2er36XzowOjS6Yfqluuq7H7s8u0S7QPs7Ozi7Ofs6+zl7Nns1uzc7OHs4+zw7Q/tOu1l7Zft1u4b7lnuke7J7vzvIO8/73DvufAD8DzwcPCz8P/xQfF28bLx+/JF8oXyvvL78zrzdvOw8+z0KPRh9Jr02fUa9VT1g/Wp9cf14vYE9jL2aPaX9rv23/cI9zb3ZfeX9874CPg9+G34nvjR+Qb5P/l6+bT56/ok+mL6oPrW+wT7Nftu+6377/w0/Hv8vvz4/Sz9Yv2e/d3+HP5Y/pX+1/8c/2H/pP/oAC0AcwC5AP0BQAGFAcsCDwJSApIC0AMMA0cDgwPBA/8EPgR9BL4FAAVDBYUFyQYPBlAGiQa6BugHEgczB1cHmQgFCH8I4gk5CcMKlQtXC4QK7gn6CTUI1wi1CJgIfgh+CJsIxQjtCRIJNglYCXkJmgm7Cd8KFApmCs4LMwuCC7YL0gvUC7oLkwt8C4wLvgv3DB4MMQxDDGYMmgzUDQINEQzqDIUL+gt/CzwLNgtOC2kLfguNC5cLnwunC60LqQubC4oLfwt1C2ILSAszCyULFgsACucK0wrLCtEK4wr4CwMK/grzCvkLGQtDC2ELZgtSCysK/ArLCpgKYQonCe4JvAmLCVgJIwj0CLEIngiSCJIIowi/CNQI3wjnCPEI9AjfCLMIfQhNCCoIFAgKCA0IGAgiCCQIHQgIB+MHtgeTB4kHkgecB5sHlAeVB6IHtgfLB9sH4AfXB8cHuQexB6QHhQdXByEG7ga7BocGUwYnBggF+AXuBeAFyAWtBZgFhwVzBVkFQAUuBR4FCgTuBNEEsgSRBG0ETAQxBBkEAgPwA+kD6wPuA/ED9APuA9gDuAOfA58DtwPdBAgEMARLBFAEQAQmBA4D+APeA8EDpAOOA38DcQNZAzADAALaAssCxwK4ApUCawJOAjwCKAIMAfEB4gHXAcUBqAGHAW0BWwFNATwBIgD/AN0AxgC0AJQAYAAwAB0AJQAqABwABf/5//sAAQAB//j/4f/B/6P/jv90/z3+5v6S/mn+hf7l/3EAAABfAGoAHv+a/w3+mv5O/hz96/2v/XH9Rf0w/Sj9Fvzp/Kr8gPyc/Qj9kf3p/er9of01/L38SPvh+477Pfrm+pb6Y/pK+i/6BPnd+dH50vm4+Wz4/viT+EP4BvfC9233F/bU9qP2c/Yw9d31g/Ux9PH0xfSe9Gr0JfPg86bzbvMv8u7ytfJ98j7x+/G78XbxHfC28FTv8e957vXuje5F7eHtLOxR67Xre+th6xLqkOod6eXp2OnO6bXpjelX6Rjo0uiI6Djn5ueV50Xm9uap5l/mGOXQ5YXlPeT45LTkbuQp4+Tjn+NW4wnis+JQ4ebhh+FD4RXg8ODI4KDgeeBS4CngBN/o38/frt9930zfOd9X35Tfv9+334ffU98z3yjfLd9E32Tfet97327fYt9V3z7fFN7a3pXeUN4c3fnd1d2i3XTddd2x3f7eJt4Z3fHd0N3A3bjdp92H3WPdU91p3Z/d4N4i3mbeqt7j3wjfG98s30vfht/e4EjgreEH4VvhseIE4k3ikuLj40bjsOQW5HPk0uU85bPmKuaV5vLnSOec5+XoGuhA6GPofuh26D3n7Oe358foIui46WrqJerX63br/Oxm7LztDe1m7cjuKO5/7tHvKu+O7/nwZvDR8TTxifHI8fLyE/I58mzyqfLp8y3zdvPH9Bf0WvSI9Kj0yPT39TT1dfWx9e32LfZv9rH2/PdW97j4Ffhy+Ob5cPn0+lz6wftF++P8cvzY/SH9Yv2Y/b794f4V/lr+pf72/1b/wQAtAJgBCQF/AesCTAKmAv0DUgOtBBgEjQT5BVcFtQYgBpMHCQeHCAgIegjZCTwJrwohCogK/QuLDAkMSQxlDI8Mqwx5DDMMnA4UD90Q0RCyEF4QnBEoEUEQuBATD8oP0Q/2EEAQxxFSEYERNhC2EF0QUBCEEN0ROxGKEcMR9BImEk8SZRJsEnMSfRJ/EnYScxKDEpsSphKdEpASjxKZEqQSsRLBEtMS4BLoEu0S8RLyEvgTChMjEzMTOhNME3MTnROuE6kTpxO2E8cTyxPKE9QT7xQMFCEULRQ3FEcUXRRuFG4UXRRRFFkUbBR1FG0UYRRdFGIUbRR4FHUUZBRZFHQUthT6FSMVOBVQFWsVcBViFWAVexWFFTYUdRNnEkARCA+1DnENow2oDm4PeRBEEKcQ0RD5EScRRBFAESIQ9hDAEIQQRRAID9gPvA+pD4kPUw8YDuoOxQ6WDl8OLg4JDeUNuA2EDUAM2gxcC/ULywvRC9cLyQu3C60LnguCC3ALfQuTC4ELPAr0CukLKwuDC6ALXArXClkKDwnsCdIJwwnVCfsKCQniCZoJXgk+CSUJBQjkCNgI4wj2CPQIxwhyCA4HtAdrBy0G+gbcBuEHDgdRB4MHfgc6Bt0GlAZsBksGJQYFBf0F/gXtBccFmwVyBUoFKwUeBR4FFgUBBPAE7gTqBNMEsgShBKsEvwTMBMcEsQSPBG0EWARHBCkD+gPKA6kDkAN5A2kDaQNxA3EDZwNiA2cDaQNfA08DRwNOA10DbANxA2IDQwMnAyMDNAM9AzADGwMYAy4DQwNHA0ADPwNJA1ADSwM/AzkDOwNHA14DfwOcA58DgANPAysDKANJA3sDqAPIA+ED/AQQBA8D/wP+BB8ETQRcBDwEAgPTA7oDswO2A7wDuwOoA4gDawNYA0kDOAMkAxAC+gLhAskCtQKhAokCbgJWAkICLAIVAgEB8AHdAcIBoQGCAWoBWAFJATgBJAEOAPcA4gDPALsApQCMAG8AUAAuAAj/3v+x/4T/Xf89/yX/EP75/t3+vv6l/pb+jf6C/nb+a/5g/lL+Q/4z/iD+Bf3g/bv9m/1+/V/9Pv0f/QT86fzQ/LT8k/xs/EP8IPwB++H7vPuW+3D7Svsj+v/64PrD+qT6hvpt+lj6Q/or+hL59/nY+bT5jvln+T/5Efjf+K/4gvhW+CX37/e394L3UPch9vH2wPaN9lr2K/X99c71nPVp9TH09vS29Hn0QvQP893zq/N680vzHPLr8rfyhvJY8jDyCvHl8b3xlPFw8VLxMvEL8N/wufCf8IzwdvBa8DnwF+/479zvw++q743vbu9Q7zbvHe8A7uPuyu667rHuqu6h7pXuiO597nfudO5w7m/uce537nzue+547nXude567obumO6r7r3uzu7h7vbvD+8r70zvce+V77Tv1O/18BjwO/Bl8JPwv/Dn8QzxOPFq8ZrxxvHy8ibyX/KW8sXy7PMN8zHzXfOP877z5/QP9D30bvSg9NP1C/VM9ZH11/Ye9mL2nvbU9w73UfeS98z4APg6+Hn4tvjq+Rr5Sfl1+aL51foL+jz6ZfqP+sL69/sn+1L7f/uu+9j7/vwi/EH8UvxU/FH8Uvxa/GX8b/x0/G38ZPxl/Gj8U/wb++78B/x3/RH9mv31/h7+Gv36/ej+Gf6l/3gAXwEdAYkBnQF+AVcBNwENANUApQCVAKAArwC4AMEA0ADlAQIBMgFwAaQBuAGxAagBrAGzAakBhgFSARYA2gCgAGgAMQAA/9r/wv+z/6X/lv+L/4D/Yf8d/rv+XP4a/e/9xP2N/Vf9Kv0C/Nb8q/yA/Ef75/tm+ur6mfp2+mL6QPoJ+cT5fPk3+Pz4w/h7+CH3zPei96n3vvez9373N/bx9qP2PPXB9U/0+/TA9JH0Y/Q49BLz6vO684LzRPMB8rvyc/It8ezxt/GW8Y3xi/F28ULw/vDC8JjwdfBa8FjwfvC48N3w2PCy8IHwSPAC77nvku+x8AvwX/BF73Pt7uwR6l7pROj16WHqSetQ7CbspOzR7M3sueyr7KnsrOyt7K3stuzE7NDs2ezs7RDtPu1u7aPt4u4n7mbun+7W7wXvJu9D73Hvre/j8AvwOvCA8M7xDvFC8YDxzfIb8mDyofLj8yHzWPOP88v0BvQ+9Hn0v/UK9VH1kPXH9e/2CfYh9kP2bvaV9rP20vb29x73Rvdz96j34PgX+E34g/i6+PD5Kflj+Zz50PoE+j36dvqq+tr7DvtI+4X7wvwA/ED8fvy3/PD9LP1r/aj94f4Y/lP+lP7Z/x3/YP+i/+YALgB1ALsBAAFIAZAB1QIZAlwCnALYAxEDSwOIA8cEBQRDBIIEwgUDBUUFiQXMBgkGQwZ7BrEG2gbzBxcHbAf8CJwJFAlgCbMKKwqLCncJ3AkTCIkIWQhUCEwIQwhPCHEImgjBCOcJDQkxCVYJfgmrCdsKFgpsCt8LVwu1C+UL5wvLC6ILggt6C5ILwgv0DBQMIAwrDEkMgAzADPUNDgz3DKYMLQu5C3MLYQtuC4ELlgurC7sLwQvDC8QLwQu0C6ELkguFC3ULXAtFCzQLJgsSCvkK5wrkCvELBAsTCxcLEQsOCxoLOQteC3YLcQtKCwcKugpzCjcKBAnYCbIJjQliCS0I9wjMCLAIqwilCJ8IogivCMAIzQjZCOQI6AjZCLEIewhICCUIGAgYCBkIEggHB/wH8wfjB8QHoQeLB4wHmAefB5sHlgedB7AHyQfeB+kH6AfaB8oHwQe/B7cHmwduBzkHBAbPBpkGYgYwBgcF6wXaBcsFtAWWBXwFbgVkBVMFOwUjBQ8E+wTgBL8EnQR7BF0EQwQuBBkEAAPoA9YDzgPNA9ED0QPCA6UDhwN7A4oDqwPTA/sEHgQzBDEEGwP6A9kDvQOnA5gDjgOCA3IDWgM4AwoC1AKlAogCdQJfAkICKwIiAhkCAQHdAcMBuAGxAZ4BfwFjAU4BOwEiAQYA6gDQALoApgCNAGQALwAF//kAAQAE//X/3//V/93/7v/7//f/2v+z/5n/jf9m/vf+Rf2Z/UX9a/3u/pz/Sf/XACkAKf/V/0j+t/5M/g393v2m/Wf9Mv0T/QP88PzH/Ib8TvxR/Kz9N/2l/b39hf0o/MX8Z/wN+7T7VPrx+p/6a/pM+iP56vm2+Z35kvlt+Rb4m/gh98T3gvdB9vP2pvZy9lj2OfX59Z31QPT99Nf0vfSW9Fn0EPPM85LzVvMT8tHylvJb8hrx2PGf8WTxFPC18FXv7+9x7ubud+4l7bntC+xP69/ryOuz60zqpeoW6dPpxem66ZnpZ+kq6OjooOhT6AHnrudd5wzmuuZo5h7l2uWU5UvlAuS+5HzkOeP047HjbeMm4tniguIg4bnhXeEX4ODgsOCE4F/gO+AS3+ffxN+t35ffcd863wXe7t8H3z7fbd9231zfNN8P3vDe4d7o3wHfGt8l3yjfK98t3yDe/t7H3oHeOd4D3eHdvN2D3UvdQ9123bzd3N3C3YndVd043S3dJt0T3Prc8d0Q3VLdpN303kDeht663tDe0N7T3vLfOt+i4BXggeDf4TfhjuHh4ividuLN4zTjoOQI5Grkz+U+5bXmK+aT5urnO+eK59LoBugs6E3oYehQ6BTn1efG5/noVujI6VLp/+rB63bsBOxr7LztCu1e7b3uJe6I7uDvNe+V8AbwevDg8TbxgvHF8fnyHPI/8nHysvL580Lzk/Pw9FH0pfTi9Q31M/Vf9Zb10/YQ9k72j/bO9wz3Vfez+Bv4ePjK+Sn5pPot+q77K/u2/Er8zP0v/YD9yf4A/hz+Mv5c/qD+7/9C/5z//QBfAMQBNQGwAicCkALsA0MDnwQHBHsE6gVGBZgF+wZ0BvEHZgfcCFYIxgkjCYIJ9ApoCssLMQurDB0MYAyFDLUM2AylDEYMcA2eD0gQYRCMEG0QvhFnEcoRqRFfEUoRZRGDEa8SBRJsEpcSVhHBERcQmRByEKkRGhGLEd4SHhJZEowSqRKzErwSxhLGErgSrRK3Es0S2RLWEtAS0BLQEs4S0RLiEvcTARMCEwYTEhMgEywTOxNME1gTYhN8E6YTyxPVE80TyxPYE+QT5xPrE/sUFRQtFEEUTxRZFGMUcxSGFIwUfhRwFHUUiRSRFIIUaRRcFGIUcxR9FHQUXxRfFIkUzhUHFScVQRVhFXQVaBVdFX4VuRW0FSIUFhLoEcUQjg8rDeUNTQ2vDroPwBBWEJcQ1REmEV8RXxE7ERQQ8BDBEIMQQQ/+D74Phw9hD0UPKQ8ODvYO1g6iDmUOOg4cDekNkw03DPkM1Qy3DKAMnAybDHgMLwvlC7sLpAuGC2kLZQtzC2wLQAsOCwkLQQuVC8MLnwstCp8KMQn2CdwJywm/Cb4JwQm5CZsJbAk4CQwI7gjgCOoJEAlHCWAJLwi0CCwH0gerB4cHRwcDBvIHLQeWB+gH6QeSBxcGtAZ+Bl8GQQYpBh8GFwYABdsFtwWWBXEFUAVBBUEFOQUjBRUFGAUYBQAE3ATMBNoE7gTzBOgE0ASxBI8EdARcBDgEBQPRA6sDkAN9A3YDgQOQA48DgwOAA40DlgOLA3cDbQNyA3wDggOCA3sDaQNSA0gDTgNXA1ADQQM9A00DYQNlA14DWgNgA2QDXgNTA0oDQwM7AzoDTQNuA4MDegNiA1sDdQOiA8YD1QPaA+gEAgQWBBYEBgQCBBkEPQRQBEcEKgQHA+EDvgOsA68DuQOzA5kDeQNhA1ADPgMqAxUC/gLkAssCtgKkAo0CcwJZAkACKgIUAgMB9gHoAdIBtAGVAXkBYgFOATkBIQEGAOwA1ADAAK4AmgCCAGYASAApAAb/3f+w/4L/Wv86/yT/FP8B/ub+yf6z/qn+o/6a/oz+fv5x/mP+VP5E/jH+GP33/dX9tP2S/W/9TP0r/Q788vzZ/MD8pPyA/Fn8N/wZ+/v72vu5+5v7fftf+0X7MPsZ+vv62vq8+qP6ifpp+kX6Ifn7+dH5p/l++Vf5LPj++NH4pfh4+Eb4EPfa96f3dvdG9xf25/az9n72SfYX9eb1tfWC9Uz1E/TX9Jv0Y/Qv8/zzx/OS82DzMfMD8tTypvJ68lLyLPIG8d3xtfGR8XHxUfEs8QPw3/DF8LHwnPB+8FjwMfAN7+7v0u+175bvde9X7z7vJO8I7u3u2O7K7sDut+6w7qfune6S7onuhu6E7oTuhO6H7oruiu6I7oTugu6G7pLupO637sju1+7n7vrvEu8u71Dvd++c78Dv4fAC8CTwRvBr8JXwwfDr8RTxQPFx8aHxzPH18iPyWvKV8szy+PMb8z3zZfOU88bz9fQh9Ez0e/Su9Ob1I/Vg9Z/14fYo9m32qfbg9xn3Wfea99L4CPhD+IP4wfj2+ST5UPl8+av54foY+kj6cPqa+sv6//sx+2D7jvu7++T8EPxB/G/8jfye/K/8w/zR/NX81vze/Or89Pz5/PH8yPx3/Bn74Pvt/D78vf1P/dT+J/44/h3+C/4z/qr/XQAcALEBBwEuATwBMQEGAMwArgC/AOgBBQENARMBIgE3AU8BcgGhAccB1AHOAcgBygHHAbABhwFXASoBAADWAKcAdABBABj////u/9r/xP+z/6f/i/9M/vD+l/5T/h796P2z/Yj9ZP08/RH87vzR/Jv8L/uc+xH6tfqF+mT6PvoM+c/5jPlI+Qz40/iL+DL34fe/99H36vfZ95j3TvcX9uD2hPX+9XX1DvTH9Iv0T/Qa8/HzzvOl83PzO/L98rzyefI48fjxxPGq8a/xu/Gp8WvxHfDn8NDwvvCm8Jfwq/Dc8QnxEvD18LzwdPAh79DvnO+l7/TwYPCI8AvuyO0B6zfp4elA6VXp8+rL64/sEexQ7GTsaexr7HLsfuyQ7KfsxOzd7Ozs8+0E7SbtVO2G7b3t++457nPuqe7e7wvvLO9J73Hvn+/B79jv/PA68ILwvvDz8TXxh/HY8iHyZ/Kv8vHzLfNp86jz5fQg9GD0rPT+9U31mvXh9hn2N/ZI9l32ffae9rr22Pb89yH3RPdr95n3zPgA+Db4b/in+N75FPlM+YH5svnj+hb6Svp7+qz65Psh+177mPvU/BP8UPyM/Mj9Bv1E/Xv9r/3k/h3+XP6e/uL/Jf9n/6v/8QA3AHwAwgEKAVQBmgHgAiUCaAKmAt4DGANVA5MD0AQOBEsEhwTFBQYFSgWKBcIF+gY2BnIGnwa8BuQHPQfOCGkI0wj8CQsJJAk4CRgIughPCBAIBAgICAgIDQgmCE0IdQiaCL8I5QkJCS8JYAmZCdQKFAppCt0LYgvMC/oL6Au1C4gLdAt6C5ELtQveC/0MCwwUDC8MYwyiDNoM+wz4DMUMZwv/C7MLlAuSC5wLrwvHC9oL3wvaC9kL2wvWC8ILqwuZC4kLdQtfC08LRgs6CygLFwsRCxcLHgsdCxcLEgsZCy8LUQtzC4ILbwszCtcKcwoeCeAJuQmgCZAJfQlbCScI7QjDCNAIzQjHCLgIqgiqCLcIyAjUCNsI2gjPCLMIhwhVCDEIJQgmCCEICgfuB9oHzge9B6IHiweFB48HnAeeB5oHnQetB8MH2AfoB/EH8AflB9kH0wfQB8UHqgeCB1MHHQbfBp4GZQY3Bg4F6QXIBa4FkwV1BV4FVwVYBVEFOgUdBQUE8QTWBLEEiwRrBFAEOQQmBBED+QPdA8YDugO7A70DswOYA3MDWwNeA3kDnwPEA+kECgQeBBoD/wPXA68DjgN8A3kDegNxA1oDOgMTAuMCqQJ0AkwCLgIQAfgB8QH3AfUB2gGyAZgBkgGOAXkBWAE8ASwBHAECAN4AvACgAIwAeQBdADEAAP/d/9L/1P/R/8b/u/+6/8H/zP/V/9D/s/+M/3P/a/9C/sD96P0R/Kb80/1x/jf+7v+G//MAG//n/1/+vP48/ff90v2o/W79M/0E/OP8x/yj/G38Nfwp/HD89/1z/aH9eP0k/Mz8ffwv+9X7bfsB+qf6Z/o0+fr5tPlz+Uf5Jfjz+KD4MvfF92z3KPbl9pj2T/Yj9hL19/W09Vb1BfTb9Mn0sPR69C7z3fOZ81/zIvLh8qLybPI18fPxr/F08Trw8vCc8EPv3+9l7t7ua+4M7Zjs+uxl7BvsD+vl613qn+oH6cLpsOmf6XjpP+kA6Lvocegg58vndeci5tHmfOYp5d7lmuVY5RPkz+SO5E3kCOPD433jOOLw4qTiUOH24ZzhSuEC4L7gfOBG4B/f/N/U36zfkN9+32TfNd743sHepd6v3tnfC98s3yzfD97f3qzei96I3p/eut7O3t7e8d8C3wLe7d7B3oLeO94A3dfdrd1z3TjdH9053Wjdf91q3Tbc/9zW3MbcxdzE3Lvcvtzj3S3dhN3U3hveWt6G3o/ef9503pHe5d9g3+bgX+DE4R3hceHC4hDiYuK+4yXjkOP65GPkzOU65azmH+aH5t3nJ+dw57Xn7ugZ6DfoP+gl5/bn2+f26DTobuih6P7prOqS62zsC+x27MztHu1z7dDuNu6c7vXvR++m8BjwjPDu8T3xiPHP8gfyLPJP8oPyyPMS813zs/QY9IH03vUo9WH1kvXB9fL2J/Zf9pz23vcf9173p/gF+HH41vkq+X755vpo+vb7ifwf/Kz9If19/c/+Hf5X/nP+g/6l/uH/Lv+A/9cAMgCOAPEBZQHlAmECzAMrA4kD7gRgBNgFQwWaBe8GWgbYB1AHtwgiCJgJCglqCcwKQQq6Cx0LcgvUDDwMigy/DPINDAzWDG0MbA1QDsgP9hBoEIIQ3xGMEhkSQRIyEjcSXhKKErMS6hM1E3ITbRL6EiIRLhCOEIcQ+hGNEf0SShKPEswS7xL6Ev4TCRMPEwgS/hL+EwYTCxMKEwwTERMOEwIS/hMMEx4TIhMbEx4TMhNIE1UTXRNmE3ITghOfE8UT5BPuE+0T8RP8FAQUCRQVFCoUPxRRFGEUcBR3FHsUiRSgFKoUnRSLFIwUnRShFIoUaxRdFGcUdhR4FGoUYxR5FLEU7xUWFSoVRhVpFXYVZxVnFZgVzBWXFMIThxJGERsP1g5tDU4NDw3WDxkQGhCMELcQ+BFPEXsRYxExERAQ9hDGEH8QOQ/+D8UPjg9iD0EPJQ8NDvkO3Q6pDmwOQw4sDf4Now1EDR4NPA16DbUN2Q3LDXIM4AxWDAML2QuuC3wLYAthC2MLUAs2CzELTwuBC6sLqwtuCv8Kiwo5CgwJ6gnDCaQJoQm0CboJlglTCRUI9AjuCQAJNAmDCbMJegjYCDYH/QgpCFEIHgeoB1AHVgeoB/UH+QemBysGxgaQBngGZAZTBkcGNgYYBfMF1QW6BZgFdQVjBWIFXAVJBTsFOwU2BRoE/QT/BR0FNAUsBREE9ATVBLEEjgRxBFEEIwPrA7kDkgN6A3cDiQObA50DkwOUA6UDsAOmA5MDiwOQA5QDjwOLA4oDhQN4A2oDaANuA20DYgNbA2ADawNuA2cDYQNiA2MDXgNYA1kDWgNSA0YDRgNbA3gDjAOcA7sD7gQeBDAEIQQIBAAEDgQjBC4ELQQqBCoELgQyBDgEOwQxBBAD4AO8A7UDvQO8A6YDhQNoA1IDPwMrAxcDAwLsAtQCvwKpApECdwJfAkoCNQIhAhACAQHyAd4BxQGqAY8BdQFcAUIBJQEGAOkA0wDBALAAmgCAAGQASAAtAAz/4/+0/4T/W/89/yn/Gv8J/vD+1f7D/rv+tP6p/pj+iP58/m7+XP5I/jP+HP4C/ef9yP2l/YD9XP08/R/9BPzt/Nr8xfyp/If8ZfxG/Cj8Cvvv+9X7uvug+4n7dvtf+0D7G/r4+tn6uPqR+mb6OvoO+eH5tvmO+Wj5Qvka+PL4y/if+G/4PPgH99T3oPdu9zz3CfbT9pz2ZPYw9f31y/WX9WP1LvT39L70hvRQ9Brz4/Or83bzR/Ma8u/yxPKb8nPyS/Ii8frx1PGw8Y7xbfFL8SjxB/Dr8NPwuvCb8HXwTfAm8ATv5O/E76Xvhu9r71LvN+8b7wHu7u7g7tTuyu7E7r7utO6l7prume6c7p7umu6W7pbumO6Z7pjumu6h7qzuu+7K7tju5e7z7wXvG+8171Pvd++e78bv6/AQ8DTwV/B68KDwyfDz8R7xSfF38aXxzvH28iLyWPKV8tDzAvMo80nzbfOZ8870BvQ49GL0jPS+9Pv1O/V59bL17vYv9nH2rvbo9yT3Yved99T4DPhI+In4xvj9+S35W/mM+b/58/ok+lH6fPqp+tn7C/s9+3L7pfvR+/b8HfxL/Hb8lvyx/NP8+f0U/R39Iv00/VD9Z/1t/V/9N/zy/Jr8RfwL+/z8JPyG/RH9nf3//if+I/4d/kD+m/8Z/5P/+ABQAKAA0gDVAL0AtgDVAQYBKgE9AU8BZgF+AZYBtgHYAegB3wHNAcYBzgHTAcgBsAGQAWsBQAEUAOgAvACNAGMARgAxABf/9f/Z/8j/s/+B/zf+7f6w/nP+Lf3r/b79oP19/VT9Nv0b/N/8ZvvF+zL6zvqR+mT6N/oG+c75jflI+QX4xPh6+Cf34/fI99f36PfQ9433Sfce9vX2ofYY9YX1E/TD9Hz0MfPv877zmPNw80HzC/LS8pfyYfIt8fnxzPG48cPx0fG88XvxMvEK8QbxB/D28N3w2/D68SXxPPEn8OjwlPA/7/Xvu++j78vwLPB68EXvTO246/7qkOmz6Xnp1OqI60TryuwQ7DHsSexg7HXsi+yn7Mzs8u0O7RrtHu0q7UjtdO2n7d3uFu5M7n3uq+7a7wXvJe9C72fvju+p77zv2vAO8EfwdvCl8OXxNPGD8cvyFfJj8q7y9fM984PzxPQA9ET0k/Tn9Tn1i/Xe9iH2R/ZX9mj2gfag9r/24vcJ9zD3Vfd696T3z/f6+Cj4XfiV+Mv5Avk4+Wv5mfnH+ff6J/pV+ob6wPr++zv7dvu0+/X8NPxw/K386/0l/Vn9iv2//fj+Nf5z/rT+9v84/3r/vf/+AD4AggDKARMBWwGjAewCMgJyAqwC5wMjA18DmwPZBBcEUQSLBMoFDAVLBYMFugX2BjEGYAaCBq0G+AdlB9QIGwgsCBsIDAgFB/kH3wfFB7sHwQfJB9IH5QgGCC4IUwh0CJcIuwjgCQgJPgmACcMKBQpRCroLOguoC9cLwwuQC28LcAuBC5MLpwvDC+IL+AwGDB4MSQx/DLEM1wzmDM4MiQwtC+QLwAu7C8IL0gvqC/0L/gv0C/AL9wv5C+gLywuzC6QLlAt/C20LZQthC1cLRQs3Cy8LJwsaCwsLCAsYCzgLXgt6C3wLVgsICqMKPwnvCbsJmwmLCYQJfAlmCTsJBwjfCQYI+AjlCMwIugi6CMoI3AjhCNgIzAjDCLYImAhrCEQIMggvCCMIBAfiB8sHvAelB4gHdwd8B40HlweXB5oHqgfCB9YH4gfrB/IH8wfuB+cH4QfXB8IHogeAB1wHKgblBpsGYQY7BhkF7AW7BZIFcQVWBUUFRgVRBVMFPwUgBQQE6wTLBKQEfwRhBEgEMAQYBAAD5wPMA7gDsgO0A68DlQNqA0IDMwNDA2UDiQOpA8oD7AQBA/0D4AO4A5ADcwNnA2kDaANTAy4DBgLiArcCgAJHAhkB9QHSAbgBtQHEAcoBswGOAXUBcAFsAVYBNAEWAQQA9gDfAL0AlQBxAFcAQQAl////1/+8/6//pv+Z/5H/lP+c/57/mf+U/47/ef9V/zT/IP78/pf96f0y/ND89f2F/jb+1P9V/73/9//Y/1j+qv4c/dT9u/2i/XL9Nvz7/Mj8n/x8/FX8LPwf/FX8y/1E/Xr9WP0C/KT8VPwG+637Rvrb+nz6Lfnp+aX5X/kf+Oj4tPh5+DH33feH9zv2+va39mv2JPX39dz1sfVh9Qb0yfS19Kn0g/Q78+bzl/NV8xvy4PKi8mbyL/H38bXxcPEu8PDwqvBd8Azvs+9H7s/uXu3z7XXs4uxk7CPsBOu76ybqdunz6bbpm+l+6VHpGOjX6I/oQefu55fnPubp5pjmRuXz5ablYOUf5N/koeRh5B7j1uON40bjAOK44m3iHeHL4XzhNODt4KDgUeAP3+Dfut+U33PfX99P3y7e+N693ovead5e3nHeod7W3u7e1d6U3kreGt4X3jXeWt533o/erd7L3t7e3d7F3pjeXN4f3evdut2C3UjdH90U3RzdIN0R3O3cu9yP3HrcgdyQ3JvcqtzU3R7dc92+3f/eOd5e3l7eP94k3jveld8i37/gSuC34Q7hXOGr4f7iV+K34xzjhePx5GDkzeU55abmFOZ75tLnGedc56Hn4OgO6CLoGef75+bn++g36GjoaOhZ6JTpT+pa61Hr/Oxu7NHtNe2S7eruR+6o7wPvWe+98DHwpfEH8VnxqvH08inySfJs8qPy6vMx83rz0PQ19J30+fVI9ZD10PYH9jf2ZvaZ9tb3HPdm96339vhN+LT5H/l++dT6Nvqv+z371Pxo/Ov9WP2z/gv+Yf6k/sf+2f7y/yH/Yv+r//sAUQCxAR4BnAIgApsDBgNpA80ENgSmBRUFfAXYBjcGqQcmB5cH+AhfCNcJTQmzChgKkQsNC3ALvAwRDHYM0A0ODTMNOA0DDKwMow1LDoAPpBBHEJIQ8hGOEicSfBKREp8SzxMVE1MTfhOuE/UUKxP0ExgR2RDUEIcQ6BGJEhASbRK8EwITLRM5EzsTRRNTE1gTUhNKE0UTQBM9E0ETSRNJEz8TPBNGE1ETTBM+Ez4TURNoE3ITcxN4E4QTlxOwE9IT8RQGFBIUHRQmFCwUNBRFFFsUbRR7FIkUlBSXFJgUpxS+FMUUsRSaFJkUqRSqFJEUdhRxFHwUgxR7FHIUgBSuFOoVGRUvFT0VVRVvFXIVZxV1FaEVpxUvFCcS1xGJEEQO6A2XDM0NAA4dD34QdxDaEPgRJRFaEWYRQBEWEQQQ8hDCEHsQPRAMD9oPpA91D08PKw8NDvoO5Q66DoAOVQ48Dg4Nsw1YDUQNiw4ADmgOng6CDgsNXwzKDHIMPAv3C6YLcgtuC3sLdwtjC08LRgtLC2QLiAuUC2cLBwqdCk0KFAnjCcIJygn7CikKHwnaCYQJRwknCR8JQAmMCcMJhgjYCDsIPAjQCVcJRAiiB+wHjweRB7MHsAdzBxkGzwarBpoGiAZyBl4GSgYuBg0F8QXVBbAFiwV6BX4FfgVvBWAFWwVQBTYFJAU3BV8FbwVUBSgFCATuBMoEogSEBGsERQQJA8YDjwNwA2wDfQOTA6ADpAOrA7kDvgO0A6cDpQOsA6wDoQOYA5gDmwOUA4kDgwOHA4gDfQNsA2MDZQNoA2UDYANgA2EDXwNfA2kDegOBA3UDZgNoA38DngPCA/AEJgRRBFoEQwQlBBcEHgQzBEoEWwRdBE0ENAQjBCoEQQRMBDkEDQPiA80DyQPFA7QDmgN+A2UDTQM3AyIDDQL4AuMCzgK0ApkCgQJtAlsCSgI3AiQCEAH7AeUBzwG4AZ4BhAFqAU4BLgEMAO8A2wDLALgAoACFAGoAUAA0ABL/6P+6/43/Z/9K/zb/Jf8S/vr+4/7R/sb+u/6r/pr+jf6D/nf+Y/5N/jj+Jf4T/f394v3C/Z/9ff1f/UT9Kv0V/QX89Pzf/ML8ovyB/GD8Qfwn/A778vvT+7f7nvuE+2P7P/sb+vj61Pqr+oH6Vvoo+fr5zvmm+X/5Wvk0+Q/46vjC+JX4Zfgy9/33yPeS9133Jvbv9rj2g/ZO9hr15fWv9Xr1SPUV9OD0p/Rv9Dfz/vPG85DzYPMz8wjy4PK68pLyaPI88hXx8/HR8a7xivFp8UvxLfEO8O/w0PCu8IrwY/A+8Bvv+u/a77zvou+K73LvVu837xzvCO747uru4O7a7tXuye617qjuqu617rnus+6p7qbuqe6r7q7utO6/7sru0+7d7unu9u8F7xfvLO9D713vfe+j78zv9fAd8EXwbPCR8LXw2vEC8SvxVPF+8ajxz/H28iPyXPKa8tTzBfMu81Hzc/Oc89T0FPRO9Hr0ofTS9RL1VfWT9cr2APY59nT2sPbt9yv3Z/eg99f4EfhP+I/4zPkE+Tn5bvmk+df6Bfot+lX6gvq0+uX7FPtF+3n7rvvc/AH8J/xR/Hr8nPy7/OH9Cf0n/Tf9Q/1Y/XX9iv2R/Yv9fP1h/TT88/yk/FT8Hvwb/Fn8y/1Q/cD+BP4k/jr+YP6T/sn/Bv9b/8cALgByAJcAuADiAQwBKgFBAVsBdgGOAa4B2AH/AgsB+QHiAd4B6wH4Af4B+wHrAcMBhwFNASYBCwDqAMEAnACBAGAAMwAJ//H/4P+9/4f/UP8f/uH+i/4v/ez9xP2l/Yj9cf1S/Qf8gfvh+1f6+/q++or6U/oZ+dr5lvlQ+Qj4vvhv+CL35ffG98H3vPeZ91f3Ffbp9r32afXm9Vn06fSX9Ebz7POY81rzLvMI8t7yrvJ68kvyKPIM8e7xz/HB8cfxzvG48YLxSvEy8TfxPvEz8RvxD/Ej8U/xcPFe8RLwrPBT8BLv3u+678nwHfB98HbvvO5p7N3rd+p26gfqOurj66PsJuxe7HLsiuyp7MTs2+zz7RHtLu1A7UbtSO1U7W/tl+3G7fnuLe5d7oTuqu7R7vbvFO8w71Pveu+Z77Pv0+/98CfwSPBv8Knw8fE58X7xyfIZ8mryuvML81vzoPPf9CX0dvTK9Rr1bvXF9g32OPZM9l32dfaS9rT23fcK9zT3WveC96z30/f1+Bn4SPh9+Lb47/kn+Vn5hfmy+eL6EvpA+nD6qPrl+yD7XPub+938G/xV/JH8zv0G/Tj9a/2i/dz+F/5U/pL+0/8T/1P/kv/OAAoASgCOANQBGwFlAbAB9wI4AnQCsALrAyQDXwOeA94EGQRRBI0EzgUOBUkFggW+BfUGIQZEBmsGoAbfBxoHQgdTB1IHTQdQB1kHZAdtB3gHhgeWB6wHyAfqCA0ILQhLCGwIkAi2COIJGglfCaUJ4gofCnIK3gtJC4ULhgtuC2gLgAufC64LswvBC9kL8AwCDBgMOgxhDIgMqgzADLUMfAwtC+8L1wvaC+UL8gwHDBwMIAwUDA0MFAwbDA0L7gvRC8ELsQuYC4ALcwtxC2sLWQtECzMLJAsTCwQLAgsWCzoLXwtxC2ALKArTCngKKwn0Cc0JrwmYCYwJhgl7CWEJPAkbCUcJJgkBCOEI0wjeCPYJBgj+COMIyQi/CLwIqQiACFYIPgg1CCMIAgffB8gHtgeXB3QHYgdrB30HiAePB58HvwfeB/EH9wf5B/sH+QfzB+sH4gfOB6wHgwdkB00HKAboBp0GZAZDBiQF8wW3BYQFYQVKBT0FQwVTBVgFRwUmBQUE5gTCBJsEegRgBEcEKQQLA/ID2gPCA7ADqgOnA5QDaQM0Aw4DCQMgA0EDXwN8A50DvwPTA84DtAOSA3MDXwNbA18DVQMtAvQCxAKnAocCVgIbAeoBwgGcAX0BdgGGAZUBjAFvAVkBUQFMAToBGwD4ANoAwwCtAJEAbABDACEAB//u/9H/tv+l/5f/gf9m/1j/YP9u/27/Xf9O/0j/Pv8e/u7+w/6j/nX+Iv28/Xr9if3g/k7+r/8G/2T/s/+z/0X+kv32/ar9mP2L/Wb9MPz0/Ln8g/xa/Dz8Jvwi/Ev8pf0D/Sn8/PyX/Cf7xPts+xT6ufpf+gr5u/lx+S/49vjE+I/4VPgW99j3mPdU9xH21faZ9lf2GPXn9bn1dfUW9L70j/SA9Gn0MfPj85TzT/MQ8tbynvJj8iLx3/Gd8VzxG/Dd8J/wXvAZ79DvgO8j7rnuSO3M7UDssew+6/XrtetR6sXqPenh6a3phulb6Sro8+iv6GDoEOe+52fnDea35mbmF+XG5XflLeTp5KvkbuQv4+jjneNT4w3iyOKB4jbh5+GW4UrhBuDE4HngJ9/f36bfeN9Q3zTfJt8V3vHevN6M3mbeQd4e3hPeNd5z3p/ej95D3ePdoN2X3b/d9d4g3kHeZd6R3rjezN7L3rXej95d3ijd8t243XzdQd0N3Obczdy63KDceNxQ3D7cTNxp3ILcnNzJ3Q7dXN2k3eXeIN5G3kLeGt313gLeWd7t35fgMeCo4P/hSeGW4e7iTuKx4xbjf+Pu5GHk0uU95aTmCuZu5sbnEOdV55rn2+gE6Ann7+fY5+noLeh66IvoT+gR6EPpD+ot6ynr0OxE7LftL+2a7fPuSu6o7wvvce/f8FLwvfEa8XPxzvIe8lHybvKR8snzDfNO85Lz5fRH9Kf0/fVN9Z716/Yt9mD2jvbB9wL3Ufen9/v4SPiW+PD5VPm3+hj6f/r4+4D8C/yN/QL9bf3V/kH+qP72/yD/M/9G/2f/mP/RABMAZQDNAUsB1gJfAtoDSAOxBBoEfgTgBUQFqwYRBnsG7gdlB9UIPAilCRoJjgn3CmAK1gtPC7IL/wxUDLwNHw1eDXINYg0xDPUM7Q1aDjsPPhAJEI4Q/hGHEhsShxK1EsgS+BNUE68T4BP8FDYUgBRxE60SXBEmEKMQ4hF/EhUShBLdEykTXRN0E3sThROTE5sTlhOME4QTfBN2E3QTeBN9E34TfhOCE4ITdxNmE2ETbhOAE4kTjROUE6ETsRPGE+QUCRQqFD8USRROFFMUXxRxFIQUkxSiFLEUuBS3FLsUzhTiFN4UvxSmFKkUuRS2FJ0UhhSFFI0UiRR7FH0UnhTWFQwVMBVFFVkVbBVuFWAVXhV+FaEVdxTEE5gSMhC/D0gN3wzSDIsNNA6CD9sQwBEfETcRRhFQEUMRIREIEP0Q5hC2EHsQTBAhD+oPrQ97D1cPNQ8XDwMO8Q7MDpUOZg5FDhANtA1ZDUMNhA3tDkEOWQ4nDbYNNQzeDLoMlwxFC9oLmAuWC60LrQuRC2sLQwslCykLXwumC7sLdwr7CoQKOAoRCgQKHgpqCsEK4QqpCjsJzAl2CT8JOAlpCZcJZQjOCFUIiQlbChoKIglwCIMH1geHB3IHZAdCBxEG6gbaBtEGuwaYBncGXwZIBi4GEQXuBcEFmgWPBZwFpAWWBYIFeAVtBVoFUgVrBY8FjQVaBSAFAgT0BNoEtASWBIAEXAQeA9gDowOGA3wDfwOMA54DsQPBA8oDyAPAA70DxgPQA9EDxgO7A7gDtwOwA6MDmgOaA5kDjgN5A2oDZwNrA28DcAN0A3gDeAN4A4QDnAOrA6IDigN8A4QDnAO5A9sEAAQfBCsEJQQbBBkEIQQ0BFAEawR1BGcESQQ0BDkEUARhBFcENQQLA+oD2APQA8gDugOkA4kDbQNTAzcDHQMGAvIC3QLDAqcCjwJ8Am0CXwJQAkACKwIRAfYB3QHDAagBjQF1AVwBPQEcAP8A6gDXAMEApwCPAHkAYABBAB3/9v/P/6n/h/9p/1D/OP8h/wn+8v7e/s3+vf6s/p3+lf6O/oT+dP5i/lP+Rv43/iP+DP3w/dL9s/2W/Xv9Yv1L/Tb9Iv0M/PL81Pyz/JD8b/xT/Df8F/v1+9P7s/uV+3b7Vvs1+xH66vrE+p/6ePpO+iD58vnG+Zv5cvlL+SX5Afjb+LH4g/hR+B336fez93r3QPcI9tP2oPZt9jf2AfXK9ZX1Y/Uy9P/0yPSQ9Fj0H/Pm87Hzf/NR8yXy/PLX8q/yg/JX8jHyEvHz8c/xqfGI8WzxT/Et8Qjw4fC78JXwcvBR8DHwEO/x79bvvu+o75Hvde9X7zvvJO8R7wDu9O7v7uru3O7G7rjuvO7M7tPuzO7C7r/uwe7B7sLuyu7X7uLu6O7v7vvvC+8c7y3vQe9W727vjO+w79jwAfAq8FXwgPCo8Mzw7/EU8TvxYvGK8bHx1vH88ivyZfKh8tXzA/Mv81nzfvOk89j0GvRZ9Ir0tPTn9Sf1afWk9dn2DvZD9nr2tPby9zH3a/ek9974G/hZ+Jb40vkM+UX5ffm1+ej6Efo0+lr6iPq8+u77HftL+3v7qvvW+//8KvxX/IP8q/zO/O/9Df0l/Tn9S/1g/XT9g/2O/Zf9ov2r/ab9iv1Q/P/8pfxa/Dr8Vfyn/Rj9h/3h/ib+Xf6E/pz+sv7d/yT/ff/YAC8AfwDAAOkBAgEbATkBVAFsAZEBxwH7AhcCGQIXAh8CKwIwAjICNQItAgUBvgF7AVgBTgE7ARUA6QDFAJ8AbAA5ABsAC//x/8X/mf91/0H+6P52/hH90P2t/Zz9jf1m/Qz8g/v1+4v7R/sR+tT6j/pF+fj5q/lh+RX4wvhs+B733/ew94v3Z/c19vP2sfZ99kj18/V39PP0ifQ189/zffMg8tnyrPKM8mvyQvIW8fbx5/Hi8dfxw/G08bLxrvGa8XfxW/FU8V3xZvFg8U/xR/Fe8ZHxuPGi8UHwvvBQ8Azv4+/T7/jwW/DB8MTwK+8T7cnsi+uM6wbrIuvB7Hfs5Oz77PLs+O0Q7SftNu1D7VHtXe1j7Wftbe187ZXtuO3g7g3uPO5n7ozuq+7K7ujvBO8f70DvZe+H76Xvx+/r8AzwKvBQ8InwzfER8VXxnfHp8jbyhfLa8y/zfPPB9Ar0W/St9P31UvWq9fP2IPY49kv2YvZ+9qH2zfb89yT3Sfdz96H3yffq+Av4Nfho+KH43vkY+Ur5dfmi+dX6CPo2+mb6m/rV+w37RvuD+8D7+vwy/Gv8pvzd/RD9Rf1//bv9+P42/nb+tv72/zX/c/+v/+kAJQBlAKYA6gExAXoBvwH8AjgCdAKtAuQDHQNcA58D3QQWBFEEkQTQBQ4FTAWJBb8F5wYKBi4GVAZ2BpMGrgbKBuIG8wcABw8HIAcvBz8HVAdvB44HrQfLB+gIBQgiCEEIZAiNCLsI8wkzCXMJpwnRCgsKZgrTCyoLVQtkC3sLpAvMC98L4AvgC+kL9gwFDBoMNAxQDGwMhQyTDIIMTQwJC94L2QvpC/QL/QwRDC0MPQw5DDIMNww+DDIMEAvtC9cLwwunC4cLcgtsC2QLUgs6CycLGwsQCwULBQsXCzcLVQtcCzwK+gqpCmMKNgoaCf8J3gm+CaoJogmeCZEJfAljCYUJWgkoCQQI+gkLCSMJLQkaCPQI0gjECMIIswiNCGMISQg9CCcIAQfcB8MHrQeLB2UHUQdXB2kHeAeLB6sH1Qf7CBAIFwgYCBMIBgf0B+QH1Ae5B48HYgdFBzkHJQbzBq4GdAZPBi0F+AW6BYUFZAVPBUQFSAVWBVoFRwUjBQAE3wS8BJgEegRiBEUEIwQDA+0D2wPFA68DnQOIA2UDMQL9AuAC3wLyAwsDJANBA2MDggORA4sDeQNjA08DQwNFA00DQAMKAsECiAJuAlkCLgHzAb8BlwFxAU0BPgFLAV4BXwFPAT0BNgE0ASsBEgDpALkAjgByAFsAPQAY//f/3v/H/6//m/+P/4H/Yf84/x3/Hf8s/zH/JP8T/wv/BP7q/rf+gf5g/ln+Uv48/iP+Iv4+/l/+d/6h/vf/YP+H/zH+gP3Z/YH9bf1l/Uj9Hfzt/Lb8ePxD/CL8Fvwe/EH8ffyy/LP8bPvy+236+PqV+j/59Pm1+Xv5Pfj8+MH4lPht+D/4BffK95b3YPch9uD2pvZ09kD2DfXb9Z/1SPTh9Iz0YPRH9Bzz1/OM80vzCvLH8oryV/Ii8dvxifE68PrwwvCO8FrwJO/n76PvWu8H7qTuKu2a7QHseOwQ673rYerq6mzqC+nO6aDpbek56QfozuiE6C/n2+eL5znm4eaJ5jfl6OWZ5Unk/eS15HXkN+P346/jYuMX4tHijeJG4f3hruFa4QvgxuCI4Eff+9+w32/fON8M3vLe5t7W3rPehd5i3kveKN3y3cfdzt4H3kHeRt4C3ZbdOt0d3ULdid3K3fzeLd5m3p3ewN7M3sjeu96j3nneQd4A3bjdZ90R3MPcjdxt3FTcM9wS3AfcGtw83F3cf9yw3PHdOd1+3cPeBd4w3jLeD93s3fLeOd6/32fgCuCL4OfhMuGA4driPuKm4w/jeuPq5F7k0uU+5aHl/+Zc5rfnCedT55nn1Ofx5+fnyefH6APoaeiu6JLoJufZ6Bvo/eof6xDrqewY7I/tE+2I7ejuQu6o7x3vl/AN8HLwwfEL8WTxzfIt8mzykvK68vDzLfNn86fz9/RV9K/1APVR9af1/fZF9n32rfbk9yr3gPfg+ED4lfji+TD5hvnj+kj6uvs5+738N/yj/Qn9eP33/n3+9f9M/3n/jP+d/7v/5AAPAEIAiwD2AX4CEAKaAxcDjQQABGsEyQUhBYEF7AZdBssHOAeoCBoIiAjzCV4JyAowCpsLDguAC+QMOgyTDPgNXA2hDbcNog10DT0NHQ1CDc4Osg+xEIcRIhGhEiESkRLNEuMTDBNtE94UIxQ7FFoUiRRzE78ShRFRELQQ0xFoEhMSnBL+E0gTghOqE8ETzRPTE9MTzRPEE8ATvRO2E60TqROuE7YTuBO0E6oTnROOE4YTihOYE6kTuBPHE9QT4BPvFAsUMxRYFGwUbxRwFHkUihSZFKQUshTEFNQU2BTYFOQU/BUJFPYU0BS7FMMU0BTFFKMUiBSBFIEUdxRuFHwUpxTdFQgVKRVLFWoVchVZFTsVRhV8FZ0VUhRzEx4Rhg/RDisM4wxUDKwNvA8REDsQ+xFTEWgRYBFQET8RMhElEQ0Q4RCrEIAQYBA2D/UPrg9+D2QPTg8yDxkO/g7TDpsOag5EDg8NvA1nDUMNWQ2ADYwNbg0rDNYMlgyPDK8Mtgx0DA0LygvKC98L2Qu1C4oLXws1CyQLUAutC+0LxwtECrcKZgpQClQKawquCxELUws1Cr8KMQm5CWYJPwlMCWQJQgjWCIQIwAmACi4KPAmkCMoIEgeiB28HXQdRBzoHIwcYBxIG/gbXBq0GjwZ3Bl4GPgYUBeAFtgWtBb4FyQW5BZ4FjAWCBXcFeAWTBawFmAVTBQ8E9QT2BOwEzQSsBI8EaAQ0BAUD7gPjA9ADswOfA6MDuAPMA9QD0QPTA94D8QP+BAED+wPzA+sD4QPQA7sDqgOhA50DlgOMA4MDgQOFA4sDkwOeA6cDqAOjA6cDtgPAA7QDlwODA4QDkgOfA6kDuAPMA94D6wP4BAcEFwQqBEIEXQRtBGsEXwRZBGEEcAR1BGoETgQrBAgD7gPiA98D2APGA6kDiwNvA1EDMgMXAwMC8QLZAr0CowKOAn0CcAJnAl8CUAI2AhYB9QHTAbMBlwGCAW4BUgExARUBAADqANAAtgCiAJIAfABdADkAF//4/9j/tv+V/3T/Vf84/x3/BP7t/tj+x/66/rD+qf6i/pj+jf6D/nv+cf5h/k3+OP4i/gn97f3Q/bP9mP18/V/9Qv0n/Q788/zU/LL8kfxy/FL8MPwM++j7x/uo+4z7cPtS+y37Bvrg+r36mvpy+kb6Fvnm+bb5iflf+Tj5E/jt+MP4lvhl+DP4AvfO95X3Wfcg9u32u/aH9lH2G/Xm9bP1gfVP9R306fSz9Hz0RPQM89fzpvN280bzGvLy8sryn/Jz8k7yMPIR8e3xx/Gn8YrxbfFK8SLw+PDN8KTwgfBj8EbwKPAJ7+3v1O+976bvje9y71fvP+8p7xXvB+8A7vvu7+7c7s/u0+7h7uju4u7c7tzu3e7Z7tXu2+7q7vXu+O7+7w3vIe8z70PvVe9q74Lvn+/C7+rwEfA48GHwjfC38N3xAfEm8Uzxc/Gc8cTx5/IM8jvydfKs8tnzAfMy82bzkfO08+D0HPRb9JD0wPT39TP1bfWi9dj2EfZL9oT2v/b99zn3cver9+j4Jvhh+Jr41fkS+U35hPm6+ez6GPo/+mj6lvrH+vj7KPtX+4P7q/vT+/78K/xZ/If8s/zY/PT9Cf0d/TX9Tf1i/XH9fv2O/aP9uv3Q/d793P3G/Zz9X/0V/Mz8l/yN/LH8+f1V/br+If58/sD+5f7z/vj/Cv8//5oABABYAIcAowDEAO4BFQE2AWABmQHVAgUCKQJMAmgCcAJhAk0CRAI/AiIB5QGkAX4BdAFpAUkBHgDzAMcAjgBYADgAKgAT/+b/uP+a/3X/Kf60/jv94/20/aP9k/1i/P/8gfwV+9P7p/t0+y763fqG+iv5z/l4+R/4vvhf+A33yfeK90n3B/bG9oL2QvYM9db1hPUP9I/0JPPO83zzIvLK8oXyVvI08hHx5/HB8a3xrvG08azxl/GF8Xzxc/Fj8VPxUfFg8XnxjfGT8YrxhvGe8dHx9fHT8WDwyPBE7+/vye/d8Dbwt/EO8OvwR+9b7mDtbuyY7BfsI+yk7TXtfe117VTtRu1N7VntY+1s7XTteO197YbtlO2l7bzt2O357h3uR+5w7pXusO7I7uHu++8W7zTvU+9w74zvqu/J7+nwDPA68HjwvPD+8UDxhfHN8hPyXvKx8wjzWvOm8/P0QfSO9N/1OPWS9dz2C/Ym9jz2VPZu9pL2v/bt9xH3Mfda94r3uffh+Ab4MPhg+JX40PkL+T75avmX+cv5//ou+lz6j/rE+vn7Lftk+5z70PwE/Dv8dPyp/N39Ff1R/ZD90P4S/lb+mP7Y/xf/WP+X/9QAEABOAIsAywENAVIBkQHLAgQCPgJ2AqsC4gMfA2EDoAPdBBsEWwSZBNUFFAVTBYoFtAXYBf4GIwZBBlsGdgaVBrIGxAbPBtkG5gb3Bw0HKgdMB24HjAenB8QH4gf+CBoIOwhjCJIIxgj9CTAJVAlvCZwJ9ApyCusLQAtvC5QLwAvtDAkMEQwODAsMCwwSDCAMNAxIDF0MbQxsDE4MFwvjC80L2gvwC/sL/wwRDDMMUQxbDFoMXwxlDFgMMwwIC+kL0AuxC4wLcAthC1QLPwsnCxcLDwsICwMLBQsVCy8LRAtCCxwK3AqWCmUKTgpBCisKCgnsCdsJ1QnQCcUJtgmjCbQJiwlaCTQJJgktCTkJNwkgCPkI1wjHCMMItAiRCGcITQg+CCcH/wfVB7cHoAeDB2UHVAdXB2cHfAeYB70H5wgLCCUIMwg2CCoIEQfyB9gHwAeiB3oHUgc7BzYHKwcEBsUGiAZbBjEF+wXABZAFcQVbBU0FSwVSBU8FNwUSBPEE1wS6BJgEdwRZBDgEFQP6A+wD4QPLA6kDggNaAywC/ALVAr8CugLBAtAC5gMEAyQDPgNJA0UDPAMxAyQDHQMkAzQDLgL3AqQCYQJCAjACCAHOAZsBdgFUAS8BGQEbASgBLQElAR0BHAEfAR4BDADhAKQAaQBCACoAE//3/9z/x/+w/5f/gf9z/1//O/8N/un+3v7n/vH+7/7i/tH+xf63/p7+ev5e/ln+aP55/ob+k/6d/pP+ef55/r7/K/9j/x3+cf3D/WD9Qv00/Rv8+vza/K78cPwv/AL79vwE/CT8SfxZ/Df72PtS+sf6Tvnn+ZL5VPku+RL47Pi2+H34T/gp9/33yPeU92b3M/by9q32c/ZG9h718/XA9Xz1HvS49Gj0OfQR89bzjPNG8wfyvvJv8izx//HQ8YrxM/Dh8J/wafA48A3v4++x73TvMe7p7ovuCO1p7MrsTevy65vrKuqk6i3p4um26YrpUekY6OToqOhY5/znpOdV5wXmr+ZY5gXltOVl5RnkzuSF5EHkAeO/43XjJeLY4pHiS+IF4b7hcuEg4M7gh+BM4BHfy99/3zfe+t7M3rLep96Z3nreU9453izeEt3Y3ZXded2X3dPd9N3R3W3c/dy+3M7dGt103cHeCN5Q3pHeuN7E3sText7E3qzeeN4v3dfdct0G3KbcYtw73B3b/dvg29jb6NwH3CncU9yK3MvdD91T3Zrd4t4X3ifeGN4D3gXeNt6f3zTf1+Bi4MjhFuFl4cDiJuKT4wHjcePh5FTkyuU65Zzl9OZN5qvnB+dW55fnxefV58Hnq+fH6CnonejH6Hrn9Oez6BnpFOo66yLrsewX7IPs/O1w7dXuOu6w7zrvyPA+8IvwuPDm8TfxrPIj8n3yufLp8xvzTfOA8770DfRo9MH1FfVq9cb2H/Zr9qX22PcP91b3q/gM+HD4zfkh+W/5vfoT+nj67vty+/P8YvzB/SD9lP4g/rX/Ov+W/8f/3f/2AB4ATQBzAJkA1gE8AcACSwLOA0sDyQRCBK4FCwVlBckGOgatBxgHfQfoCFsIzgk4CZoJ/ApmCtYLRwu1DB0MfAzVDS0NiQ3bDgoOCA3ZDZANSA0sDXkOTg+BEKcRchHrEk0SrRLwEwsTKhN9E/AUSBRsFHcUdBQzE30SYxFKEKQQphE1EgAStBMqE28TphPcFAQUFBQTFA0UBhQAE/4T/hP4E+oT3RPcE+MT5RPdE9ITyRO+E7MTsRO/E9gT8BQCFA0UExQfFDgUYBSFFJYUlhSYFKcUuxTHFM0U2hTuFPsU/BUAFRIVKRUpFQkU4xTUFNwU3xTHFJ4UfhRwFGwUZxRrFIUUshTgFQQVIxVHFWEVWBUtFQ4VJRVdFWYU7hPeElQQfg6bDQcMLwxRDUUOlQ/PELgRSBGOEZoRhRFsEWQRZhFZESsQ5hCqEIgQcRBFEAAPvA+TD4IPcg9XDzUPDQ7aDqEObw5HDhkN2g2ZDWoNSg0mDPcMxgyXDGkMSQxSDIEMoQyDDDgMAAv3C/wL6gvDC6MLiQtkC0MLWAutC/4L8gt+CvcKtAqwCrEKngqiCtsLHQsbCsMKSwnpCaQJdQlfCVgJOgjwCK4IwwkwCZkJoQk/CK4IJgfEB5IHiweQB4MHYwdIBzoHLgcTBu8GzgaxBpQGcwZJBhQF5QXUBd8F5gXUBbUFnwWSBYkFjAWlBbsFogVZBRME+wUEBQUE7QTHBKAEdgRSBEkEWwRnBEoECQPMA7QDvwPSA9wD4APsBAMEGwQpBC4ELQQoBB4EDAPzA9YDugOlA5wDngOkA6kDqQOnA6cDsQPEA9UD1gPKA8EDwQO/A60DkgODA4oDlgOZA5QDlAOhA7QDyQPgA/oEFQQuBEUEWQRlBGsEcAR6BIYEjASGBHYEYQRHBCkEDQP9A/cD7wPbA7wDngODA2cDSQMwAx8DDwL7At8CwwKoApICggJ8AnkCbwJXAjUCEAHqAccBqgGVAYEBZgFIAS4BGgEEAOgAzwC/ALUAogCEAGIAQwAmAAb/4/+//5v/ef9Z/zv/IP8G/vH+4v7Y/tD+x/68/rH+p/6f/pf+jP56/mb+Uv5A/iz+Ev31/dj9vf2f/Xz9Wv09/ST9DPzw/NL8sfyQ/Gz8R/wj/AH74fvD+6f7jPtu+0n7Ifr6+tf6tPqN+mH6MvoA+c75nvly+Ur5Ivj6+ND4ovhy+EL4FPfj96v3cPc59wj21vag9mn2NfYD9dH1nvVr9Tj1BPTR9J30afQz8//zzfOb82nzOPMN8uXyu/KT8m/yT/Iu8gnx5fHF8ajxiPFl8UDxFvDp8L3wmfB98GLwRPAk8Abv6e/N77XvoO+J73DvV+8/7yvvGu8Q7wvvAu717uzu7u727vju8+7y7vfu+e7x7uru7+797wXvBe8K7x3vNe9J71fvZ+9875Xvs+/W7/3wI/BG8Gvwk/C88OTxDPE08VrxgvGt8dfx/PIg8lDyivK98uLzBfM383PzpfPI8+z0HvRZ9JH0xvT+9TX1Z/WW9c72D/ZS9pH2z/cM90X3e/ez9/H4Lvhm+Jz42fkZ+VT5iPm7+e76IPpQ+n76q/rW+wL7Mvtj+4/7tPvb/Af8NPxc/IL8qvzQ/O39Av0Z/TT9Tf1f/W39fv2V/a/9yP3f/fD9+v39/fr97v3R/Z79Wv0Y/Or83vz4/T39p/4q/qj/Af8d/wX+4v7p/yv/jP/bAAYAIABEAHgAsQDoASMBZQGqAe0CLwJtApgCoAKIAmQCTQJFAjkCFAHbAagBjgGCAXEBUAEjAOsAqABtAEsAPgAp//z/yf+l/4X/SP7i/m3+EP3b/cD9o/1m/QX8n/xW/DH8EfvZ+4z7Ofrg+nv6Dfmg+TD4vfhR9/n3svdr9xv2yfZ89jb19/XF9ZX1UfTs9Hv0GfPM84PzM/Lg8pbyWfIh8eXxp/F48WfxbfFv8V3xQfEx8S7xKfEd8RbxJfFO8YbxuPHS8c3xxPHW8f/yEfHa8V3wyPBC797vtO/j8Grw+fEh8K/v2u8D7lXtu+0n7MbszO0r7ZPtve2n7X/tZO1a7V7tbO1+7YztlO2f7bHtxO3U7ebt/u4b7jjuWu5/7qDuuO7J7tvu9O8P7yrvRO9b73Lvi++p78vv8vAj8F/wn/De8R3xYfGp8fPyP/KR8ubzOfOJ89X0H/Rp9Ln1FvV09cH19PYW9jL2S/Zm9on2tfbg9wH3H/dF93f3qvfa+Aj4NPhg+I/4xfj++TH5XvmL+bz57foa+kb6dvqo+tn7Cvs9+3D7ovvV/Av8QPxz/Kf84f0g/WH9o/3q/jH+dP6z/vP/Nf94/7n/+AA4AHUAsgDxATIBcAGpAeACGAJQAoYCuwL1AzMDcAOvA/AEMQRtBKUE3wUbBVEFfgWlBcwF9AYbBj4GXwZ6Bo0GlgabBqIGsQbIBuUHBQcnB0cHZAeDB6QHxQfhB/sIFwg9CGkImQjFCOcI+wkOCUAJqgpACtQLPAt1C5gLvwvrDBEMJgwuDC0MKwwqDCsMMgxADFMMXQxODCUL8gvPC80L4wv8DAcMDQweDD8MYgx1DHwMgwyKDH4MWAwoC/8L4Au/C5gLdAtaC0QLLQsZCwwLBQr+CvgK/AsMCyILMAspCwUKzAqTCm0KXQpSCj4KIwoRCg8KDwoGCfIJ3gnNCcsJqwmCCV8JSQk+CTQJJgkOCO4I0gjDCL8IsQiOCGAIPggrCBYH8wfKB6sHmAeJB3sHcwd2B4UHnQe6B9kH+AgVCDAIQwhFCDMIEwfwB88HsAeSB3IHVgdEBzwHLQcJBs8GkwZhBjQGAAXJBZ0FfgVlBVEFSAVGBTsFHQT5BN4EzQS2BJEEaQREBCEEAgPsA+ED1QO6A48DWgMlAvgC1QK9AqsCngKYAqACtQLRAu0DAQMLAwsDCAMDAvsC9gMCAxoDHQLtApcCSAIcAgIB2wGmAXgBWgE8ARkA/gD0APYA9gD0APUA+wD+APsA6wDFAIwAUAAkAAf/7//W/8D/rf+W/3z/Y/9O/zX/Ev7q/sn+tf6w/rb+uv6u/pP+fv6G/qD+r/6k/o7+hf6V/r3+7/8S/wz+4/7H/uf/L/9N/v7+WP2w/Uj9HP0D/Oj8z/y4/Jf8Xvwa++T7zvvU++v7//v6+8f7Y/rl+mf5+fmY+UX5C/jv+OL4yvia+F34J/f59833nfdu90D3CvbF9nz2QPYV9fL1yfWU9Un06vSJ9D70CvPY85XzSfMA8rnyZ/IT8dHxoPFs8Sbw1/CO8E3wDO/R76bvhe9e7yvu9O637l/t2O0z7JrsK+va633q/Opu6f3pvemY6W3pMuj16Lzoe+go58zncuce5szmeOYm5dPlgeUy5Onko+Rc5BTjz+OJ4zvi5+KW4k3iB+HC4X7hOODq4JngUOAU39vfl99L3wDewN6Q3nTeaN5e3kbeJN4L3gTd9d3F3XndOt0v3Vrdkd2Z3Vfc6NyN3Hvcud0h3Ynd5d443nveoN6m3p/en96i3pTead4h3cHdVNzm3IzcUNwp3AXb3du927Lbu9vR2/HcH9xe3KPc5t0p3XHdu9343hveJ94m3ireR96P3wrfouAy4KDg9OFF4aHiCeJ54u3jY+PX5Evkw+U45Z3l9OZM5q/nEOdg55jnuOe4553nkOfG6ELotOi96E/nx+eq6DnpS+pz61nr6exF7Jrs+u1f7cXuNO6871rv9vBs8Knwv/Da8SLxmvIh8pby6vMj80zzcPOc89j0J/SB9Nz1N/WU9fT2Uvaj9uH3EvdF94T31Pgu+Iz46vlG+Zz58PpI+q37Ivuh/B38i/zv/VX9yf5R/uP/bP/RAAoAKQBNAIUAwQDrAQoBPgGbAhMCjQMCA3oD9wRvBNsFPwWlBg8GfAbnB08HtQggCJQJCgl2CdcKOgqoCxsLiAvxDFwMxQ0eDWkNuw4ZDmoOhQ5gDhANuA2HDbsOgQ+8EP0R3BJOEpQS4RMnE00TZxOgE/oUUhSIFJcUeRQWE10SZBFnELAQgBDxEdASuBNUE6AT0RQLFD4UUxRRFE0UThRKFEEUOxQ0FCYUFBQKFAwUDxQMFAcUAxP7E+0T6BP1FA8UJRQxFDYUOxRGFF4UhBSsFMMUxxTMFN0U7xT6FQEVERUkFSwVKxUyFUYVURU9FRMU8RTmFOYU2RS7FJgUfhRyFHAUdhSGFKUUzxT4FRYVLRU/FUIVJxT/FOkU9BT0FKMT1BKHENkO/A1IDDMMFgzpDkEPmxClEVMRthHeEdYRthGaEZIRkBF2ETgQ7BCyEJMQeRBMEA4P2A+4D6gPlQ93D1EPJA7yDrwOiw5fDjUOCQ3dDakNYw0VDOMM4wz6DPQMwQyMDIAMjwyLDGIMNgwfDA8L7wvIC7ELpAuGC14LXQufC+wL7guUCywLCAsaCxAKxgp0Cl8KgAqSCnEKOgoPCesJvQmPCXAJUQkYCNAIqAi1CNQI1giuCGsIHQfXB7IHtwfKB8IHlgdmB0oHPQcwBxoG/gbfBr4GngZ7Bk0GHgYEBgAF/wXvBdYFwgWxBZ4FlgWnBboFpwVpBSwFFQUeBSEFCgThBLQEiwR0BIAEpQS5BJYERQP1A84D0QPjA/AD9wQDBBoEMgRDBEoESwRIBD4EKgQQA/ID0gO2A6cDqgO6A8kDygO+A7QDuwPVA+wD7wPfA8wDwQO3A6QDkAOOA54DsAOxA6cDogOsA74D0wPsBAoELQRNBGUEcgR2BHcEfQSIBJQElgSOBIEEcwRgBEYELAQZBA8EBAPxA9QDtQOZA30DYgNLAzwDLwMdAwQC6ALNArMCnwKSAooCfQJmAkgCJwIGAeYByAGwAZcBewFfAUkBNwEgAQUA7gDiANkAxwCqAIkAaQBLACkABv/l/8b/pv+F/2b/Sf8u/xf/CP79/vL+5v7Y/sz+wP6y/qP+k/6A/m3+W/5K/jf+H/4F/ez90v22/ZX9df1a/UT9Lf0S/PT81fyy/Iv8Y/w+/B77//vg+8H7ovuB+137NvsQ+uz6x/qf+nT6RvoW+eP5s/mF+Vr5L/kF+Nr4rfh8+Ez4Hvfv97v3hfdS9yP28va99ob2UvYh9fD1vPWG9VD1G/To9Lj0iPRW9CTz8vO/84vzWPMr8wLy2/K28pTycvJN8ibyA/Hk8cXxovF/8VvxNPEI8N3wuvCe8ITwZvBG8CXwBO/k78nvte+g74fvbe9V70LvMe8l7x3vFu8O7wjvB+8J7wbvAe8D7wvvDu8I7wPvCe8U7xjvE+8X7yvvRu9a72jveO+O76nvx+/q8A/wMvBS8HPwlvC98OfxFPE/8WXxi/G28eLyCPIv8mDym/LP8vDzDfM783nzsPPV8/b0I/Ra9JP0yvUC9Tb1ZPWT9c72E/Za9pv22vcX90/3hPe89/n4NPhq+KL44fki+Vv5jvnB+ff6Lfpg+pH6vPri+wn7OPtq+5X7uvvj/BP8QPxi/IH8ovzH/Of9Av0d/Tb9R/1R/V39dP2U/bL9zP3j/fj+Cf4W/iT+NP4//jn+HP3n/aX9Zf06/TT9Yf28/jH+l/7N/s/+v/7K/wT/Uv+O/6n/tf/I/+8AJgBrAL8BHAF8AdsCMgJ3AqICswKtApcCfgJwAmwCWQImAeMBtAGmAaQBkQFgARsAzgCKAGEAUAA9ABb/4v+2/4//VP78/p3+Uv4i/f39zf2I/TP86Py4/Jz8dvw4++v7m/tB+tP6VfnT+VH4zPhQ9+33n/dU9wL2sfZn9iT16fW79ZX1ZfUm9OL0qvR19DDz1fNv8w/yt/Jc8ffxlPFK8SfxHvEO8Ovwy/DD8MzwzvDD8L7w2fEc8XjxzfH78fzx9PIH8iryIvHK8T7ws/A679jvr+/18JnxIPED8DPvIO5L7c/teO0j7PHtC+1k7brt2u3G7Z3td+1g7WPtfu2e7bPtvu3O7eXt+u4H7hXuLe5J7mDud+6R7qvuvO7G7tPu6O8A7xjvMO9H717vd++W77nv4PAM8D3wc/Cr8OXxJ/Fy8cXyG/Jw8sHzEPNe86rz8vQ69Iz06/VK9Zn10/X+9iL2QPZc9n32p/bP9u/3Dvc192X3mPfM9//4MPha+IT4tfjs+SD5Tfl3+aL5zvn5+iX6VPqE+rL64vsU+0b7ePut++P8F/xH/Hv8t/z3/Tj9e/3D/gv+Tf6L/sv/Dv9R/5P/1gAZAFgAlADSARMBUwGOAcYB/gI4AnACpwLeAxYDUAOOA88EDwRKBH8EswTnBRkFRQVtBZMFuQXiBgwGMQZLBlsGZAZtBnkGjAamBsQG4Qb+BxwHPQdgB4UHpwfFB94H+ggbCEMIbQiQCKUIrwjECQcJjAo5CtcLOwtpC4ILowvMC/QMEQwnDDgMQQw9DC4MJAwuDEUMTgw2DAgL4QvUC90L8gwHDBgMJww7DFcMdQyLDJcMoAyoDJ8MfQxLDBsL9AvPC6ULfAtYCzsLIwsVCw8LCAr7Cu4K7wr+CxILGwsRCvEKwgqTCnIKYQpSCj4KKwonCjEKNwoqCg0J8gnfCc0JswmUCXYJXAlCCSkJEAj5CN4Ixwi8CL0IswiNCFMIIAgEB/MH2ge6B6EHmAebB50HnQehB68HyQfmB/4IEggpCEEIUAhKCDEIEQfyB9IHsAePB3UHYAdNBzoHHwb4BsUGkAZiBjYGBgXVBawFjAVvBVUFRAU7BSsFCwTpBNMExQSuBIUEVwQwBBAD9APbA8UDrwOOA2EDKwL2As0CtAKlApQCgQJ4AoAClAKqAr0CzgLaAtwC1wLRAs4C0QLhAvkC/gLUAn8CKAHtAcUBnAFtAUkBMQEYAPcA2wDMAMcAwwDDAMkAzQDHALgApACIAF8AMQAI/+j/yv+t/5T/fv9n/1D/PP8o/w3+7f7Q/rj+n/6I/n/+fv5v/kv+NP5W/qz+/P8S/vH+yP7F/vb/RP+H/5j/ef9S/0r/Uv8y/sf+K/2b/Tv9Bfzf/MD8qfyV/Hj8SPwP+9r7uPup+6f7pvuT+1/7Cfqi+jv53vmH+Tj4+/jZ+Mj4sPiA+EH4BPfS96b3efdJ9xX21vaM9kP2CfXh9cH1l/Va9Qf0pvRJ9AHzy/OS80ry9/Kn8lzyGPHb8aPxY/ES8LzwdfA98ADvtu9x70PvJu8E7tvuse597iLtk+zt7GDr/+uw60nqweo46dbpoOl96U7pDujM6IzoR+f356DnRubt5pXmReX55avlV+UG5L/kfOQ14+njn+NU4wHiqOJU4gzhyuGI4UXg/+Cz4GLgGN/b36LfYN8U3sneid5X3jfeKd4j3hTd993c3dHdyN2n3WDdC9zY3OPdHN1J3Trc6dyI3Frcf9zl3Vzdwd4O3kPeYd5l3lreTt5F3jXeE93X3YDdGdy53HXcTNwp2/fbvtuS24Pbitud27vb69ws3HTcutz/3Ubdjt3Q3gXeKd493kfeV96I3urfcN/54Gvgx+Eg4YLh7OJf4tnjV+PT5Ezkx+U+5aXl/uZa5sDnIudu553nrued53Xnauex6DvopuiY6CHntefK6H/pl+q365jsJ+x67LrtAu1Y7bruMu7H73XwHPCY8Nfw8PEL8UvxtvI78rzzIfNg84DzmPO88/b0Q/Sa9Pj1WPW69h72gvbd9yP3Uvd797H3+/hO+KP4+vlX+bj6Gfp6+uH7TvvA/Df8r/0q/aL+GP6T/xr/pAAWAFoAfACkAOUBKgFYAXUBpgH+AmwC2QNBA7EEKASaBQUFdAXmBlEGsgcUB38H8QhkCNcJTQm9CiMKiArzC10LvgweDIsM/w1iDa4N/Q5jDscO/g70DsMOlQ6LDsgPbBBpEXYSPhKrEuoTLBNzE6YTwhPfFBEUVhScFMsUwhRsE88TAxIeEUEQthDOEZESlhNhE8gT/xQ7FHQUjhSPFJMUnhScFIgUdRRtFGUUVBRCFD0UQRRFFEYUQxQ5FCoUIhQuFEMUUhRVFFgUYBRsFIIUqBTVFPQU/RT/FQgVFxUjFTAVRRVYFV8VYBVqFXgVcBVLFR4VAxT4FOcUyxSuFJkUiRR+FHoUghSWFLQU2xUDFR4VKBUjFRAU8hTRFLMUfhQAExwR4hB0DuwNdgxoDCcMzg4PD24QlBFoEe4SKxItEgsR5BHIEbgRoxF4ETUQ8hDAEJ0QeBBJEBgP9Q/fD8oPsA+PD2kPQA8VDuoOvg6PDmMOPw4dDeUNjg0+DTINfw3iDfcNmw0RDLYMogymDJUMdAxXDDoMEgvmC8sLtguQC2ILWAuGC70LtQtrCycLJwtNC0UK5wpmChUKDAoiCjEKNAotChAJ2gmlCYwJgglaCQcIqwhwCF0IXQhdCE0IKwgBB+gH7Qf8B/UH0AegB3kHXAdEBzAHHAcBBt8GvQaeBn0GWgZABjIGJwYYBggF+wXmBcMFpgWiBasFngVxBUMFMgU1BTIFGgT1BM0EqASRBJUEqQSsBIcEQQQAA+ID6gQABA8EEAQPBBoEMQRJBFkEXgRZBEsENgQfBAgD7wPWA8IDvgPLA9sD3gPOA70DwAPZA/MD+wPtA9kDywO/A7EDpgOsA8AD0gPUA8sDxQPNA+ED+QQSBC4ETgRvBIcEkgSSBI0EigSLBI4EkQSRBI0EggRwBFgEQAQsBCIEGwQQA/sD3QO6A5gDegNiA1EDQgMwAxsDAwLtAtcCwgKvAp4CiwJ0AlwCRAIqAg4B7wHRAbQBlwF/AWoBVwE+ASMBDwEDAPkA5QDIAKgAigBqAEoALAAS//j/2v+6/5v/ff9g/0X/MP8g/xL/BP74/uz+3f7I/rH+nP6K/nn+Z/5V/kH+Kv4T/fz95f3K/a39kv17/Wf9Tv0y/RP88/zR/Kv8gvxd/Dz8Hvv9+9n7tfuQ+2v7R/sk+wD62vqx+of6W/or+fr5yfma+Wz5PvkS+Of4uviJ+FX4JPf098T3k/dl9zj3CvbY9qP2cPY+9gz12vWl9W71NvUB9NH0pfR39Eb0E/Pf86vzevNM8yLy+/LZ8rjylfJt8kTyIfIB8eHxu/GW8XLxTfEj8Pnw1/C88KLwhfBn8EjwJvAD7+bv0O+676Dvhe9v717vT+9B7zfvMO8p7yPvIO8e7xjvE+8U7xzvIe8f7x7vJ+8w7y/vKO8r7z/vWe9t73zvje+k78Dv3e/98B/wPvBc8HvwnvDF8PDxHvFJ8W/xkvG78ebyDvI18mfypfLc8v7zGfNB83zzs/Pd9AL0MPRm9J300/UK9T/1cfWl9eH2I/Zj9p/22/cZ91P3i/fE9//4OPhu+Kj45/kl+V35kvnJ+gL6Nvpm+pX6wfrp+xH7Pvts+5T7ufvl/Bf8R/xq/Ib8pfzH/Of9Bf0f/TH9N/06/Uj9Zv2M/a/9zf3n/gD+Fv4r/j/+Vf5q/n/+jP6I/mz+O/4B/c39r/2v/cz99f4d/j3+Yv6Z/uP/Lv9l/4H/if+I/4r/n//XADMAqwEwAbICGwJgAogCqALIAtoC0gLCArkCqQJ1AicB6QHZAd0BzAGWAUsBAAC9AIsAbQBTAC7//v/Q/6H/Y/8U/sv+m/55/kz+DP3C/X39Rv0f/Pr8yfyI/D376fuD+wX6e/nx+Wb41PhG99D3dPcm9t/2pPZ39lD2KfYF9eb1yvW19a/1sfWb9U/00vRH88rzXPLs8m3x7PF/8TfxBPDO8JPwbPBj8GbwW/BF8ETwcvDQ8UXxrfHo8fjyBvI08mDyQvHA8RPwfvAO77zvrPAU8M3xPvDe77/ufu2i7Tjs/uzQ7M7tFe2K7ezuEe397crtku1x7XftoO3K7d7t5u327hLuKO407kPuXe537ojuku6g7q/uuO697sfu1+7r7v/vF+8w70nvZO+F763v1O/58CHwT/CC8Lfw8/E78ZDx6vI/8ozy1vMi83DzvPQH9Fr0uPUV9WX1pvXb9gj2K/ZK9m32lPa69tv2/vcp91j3hve29+n4GvhG+G/4oPjX+Qv5OPlf+Yb5r/na+gr6Ovpp+pb6xfr4+yn7XPuS+8n7/Pws/GD8m/zb/Rr9XP2j/ev+LP5r/qv+7f8v/2//sv/2ADYAcgCwAPIBMwFxAaoB5AIfAloCkwLLAwADOAN1A7MD8AQqBGEEkgS/BOoFFQU+BWEFgQWlBc0F9AYRBiYGOQZLBlwGcAaKBqUGvQbWBvUHGwdCB2UHhQekB8EH3Af6CBsIPwhdCG0IdAiOCOIJfgo7CtgLLgtNC2ELfwukC8AL1gvzDBkMMwwwDBUMAgwQDC8MOQweC/cL5wvwC/8MBQwODCIMPQxXDHEMjAyjDK8Mtwy6DLMMlAxkDDAMBAvbC68LgwtbCzkLJAseCyALGgsFCu0K5QrwCwELBwr7CuEKvQqYCnkKZApRCj0KLgouCjgKPAovChMJ9wniCcMJqQmQCXoJYglECSQJBwjtCNQIvwi6CMAIuAiNCEUIBAffB9AHwAeqB5sHngeuB7wHvwfAB84H6QgICCEINQhMCGIIZwhTCDEIEgf6B98HvAeaB38HaAdNBy0HCAbgBrQGiQZgBjgGDAXgBboFmwV7BVwFRQU2BSUFCwTtBNYEwwSmBHwETwQpBAkD6APEA58DewNZAzUDCgLaArACkwKBAm4CXQJaAmcCegKFAo8CnAKpAqgCnAKTApYCowKyAsACvAKUAkgB8wGtAXoBTgEoAQwA+ADgAMEAqQCfAJsAmACYAJsAlgCDAGgAUQA+ACQABP/j/8b/p/+G/2b/R/8p/xT/Cv8A/ur+zP6z/p/+gv5g/kj+Pf4o/gD97v4q/q//NP9s/1L/Hv8M/zP/fv/D/97/zv+v/47/XP78/nP95v16/TL8+/zM/Kn8k/x+/GP8QPwY++37wPuV+2/7Tvsq+vn6tvpn+hf5yfl8+TL48vjD+KL4gPhR+Bb33Peq9333T/cZ9tr2k/ZH9gH1y/Wo9Yn1XPUV9Lb0UvP687fzgPND8vTymfJE8gXx5fHT8avxU/DY8GjwIO/y77nvb+8u7wTu5u7D7p7ufu5M7eLtP+yT7BPrwut16wnqhuoQ6cPplulq6S3o5Oic6FfoEufH53bnHubB5mfmGuXU5YnlM+Tf5JbkUuQK47vjbeMg4svicOIb4dXhl+FY4RLgx+B34Cbf3N+e32bfJ97e3pPeUt4d3fnd593m3ePd0N2y3Zjdh91q3S7c2NyP3HzcpNzj3QTc59yf3GjceNzT3Uvdqt3d3fXeBN4L3gPd7N3P3bTdmd1u3Svc2NyP3GPcSNwf29fbg9tI2zjbSNtk24fbt9v13D3ch9zQ3RfdXN2f3d/eFd443kreWd5/3s/fQt/A4DLgmeD+4Wfh1eJJ4sjjT+PV5Fbk0eVF5avmCOZp5tHnMOd155rnn+d950jnO+eM6B7oguhq6AHnxegR6OPp8+r768vsUuye7NPtD+1c7bvuNO7T747wP/DC8Q/xO/Fj8Z3x9PJm8uTzUfOX87jzyvPp9B70ZvS69Rf1ePXZ9j32qPcQ92D3kPex99/4Jfh1+ML5EPlr+dL6Pvqo+w/7c/vb/E781P1n/fb+dP7s/3IAAwB9AMIA3AD6ATYBfQGqAcYB9gJOAroDIgOHA/cEawTYBUMFtgYtBpQG7QdNB8UIRgi9CSwJnwoSCnsK2QsyC4oL3gw2DKINHg2SDfEOSQ6wDxkPYg+AD44Prw/uEEcQvBFVEgESmhMFE0sTiBPGE/0UHxQvFEEUcBTCFRwVSRUsFM0UQBN9En4RhBEQEW8SXhNJE9cUJBRpFKoUyxTQFNkU7BTtFNIUtRSsFKwUoRSLFH8UfxSDFIIUexRuFF8UWBRiFHMUfhSAFIUUjxSbFK4U0hUCFSUVKxUjFSUVMhVCFVUVaxV/FYgVjBWYFZ8VjBVgFTgVIxURFO4UwhSiFI4UeBRdFEwUTRReFH4UqxTaFPUU+BTqFNMUrhR0FBUTaxJaEPgPjg5XDV4Mrgx/DQkOKw92EIsRWhH6EmISfhJZEiIR/hHsEdcRsRF6EToQ/xDOEKMQcxBDECAQDA/+D+cPxw+jD3wPUg8sDwwO7Q7FDpoOdw5TDhgNwg2BDZcOCQ6BDowOEA1gDOsMzAzUDNAMvAynDIsMXwwtDAML1guZC2ELVAtzC4kLZQscCvELBQsxCzIK7QqFCjAKDAoWCjkKVQpNChYJywmcCaMJvwmyCWAI6AiGCFUITwhcCGoIcghyCGkIVwhACCsIHQgOB+0Htgd6B1IHPgcpBwUG2wa5BqIGlQaKBnwGZgZPBkEGNwYdBe0FuwWhBZoFiwVtBVEFRwVFBToFIQUEBOgEygSuBJoEjAR1BE4EHgP4A+wD/QQZBCkEIAQNBAkEIQRHBGUEbwRnBFYEPwQpBBkEDAP9A+gD2APYA+UD7gPmA9UD0QPjA/8EDwQKA/sD7QPiA9kD1APXA+QD8QP0A+4D6APuBAQEIgQ7BE4EYQR4BI4EnQSiBJ4ElgSNBIgEjASUBJYEiwR2BF8ESwQ6BC8EKwQoBBwEAQPdA7kDmAN9A2QDTwM5AyMDDgL8Au0C3wLPAr0CqQKVAoECagJRAjQCFAHyAdQBuwGoAZYBfwFiAUYBMgElARcBAQDmAMkArQCQAHQAWwBGAC0ADv/u/9D/tP+V/3T/V/9B/zH/Jv8e/xP/Av7p/s7+uP6m/pX+g/5w/lr+Qv4q/hL9+v3g/cX9rP2W/YD9Zv1I/Sn9C/zq/Mf8ofx9/Fz8Pfwb+/X7zful+3/7Wvs2+xL67frG+p76c/pE+hP54vmx+YD5UPki+Pf4yviZ+GP4Lff598r3nPdx90f3G/bt9r32jPZa9in1+fXI9ZT1W/Uk9PL0xvSZ9Gj0NPP/88zznPNv80XzHPL48tfytPKM8mLyPfId8fvx1PGt8YjxYvE28Qzw7PDS8Lrwn/CE8GjwSPAm8Ajv8O/Z77/vpO+P73/vcu9l71rvUe9I70DvPO847zHvK+8q7y/vNe837zvvQ+9K70nvRe9M72Dvd++J75fvqO+/79nv9fAT8DDwS/Bn8Inwr/DX8QDxKvFT8XjxnPHE8e7yFfI88m3yqvLk8wzzKfNQ84bzvPPq9Bb0R/R89LD04vUX9U/1iPXB9fz2NvZs9qD22vcY91X3kPfK+AP4O/hx+Kv46fkj+Vn5kPnM+gb6Nvpi+o/6v/rs+xj7RPtu+5X7uvvm/Bj8Rfxq/Ir8qfzJ/OT8/P0P/Rr9H/0n/T39Yf2J/a79z/3r/gT+H/4+/l7+dv6H/pz+uP7V/ub+5P7O/qf+c/44/f390f2//c/9//5C/o3+1f8Y/1L/dv97/2j/Wf9v/7gALAC7AU8BzAIeAlEChwLLAwQDFwMQAwMC7QK2AmMCIwIOAgwB7wGxAW0BMwEAANIAqQB/AEoAD//g/7j/hP9B/wj+6f7P/p3+Uf4E/cr9nP1v/T79B/zJ/H78HPue+w36efnr+Vr4vPge95b3MPbn9rr2rfa69s721vbK9q72kPaE9pj2t/aw9l71zPUs9KP0NPPK81by2vJh8fPxivEf8MLwhvBn8ETwDO/Z79jwGPCF8P3xZfGr8djyDPJY8ozyWfGy8N/wNe/K75fvtvBE8P/xSPCr71/uEe067NTsm+x77JrtDO2n7iLuUe447fPtqO187YPtr+3b7e7t9e4I7ifuQe5Q7mPuf+6Y7qHuoe6l7qzusO6z7r3uy+7a7uzvA+8d7zTvSu9s75jvxe/r8BHwP/B08Kjw3fEa8WTxtvIE8kzylPLi8zTzhfPU9Cj0gfTY9Sj1cPWw9eX2DvY09l/2jPaz9tT2+vcn91X3fvem99P4Afgt+Fj4ivjA+PX5JPlP+Xf5n/nN+gD6Mvph+o36vfrv+x/7T/uE+7v77/wg/FT8j/zM/Qn9SP2O/dX+Fv5U/pX+1v8W/1T/lv/YABgAVACSANMBFAFRAYsBxQIAAj0CeQKxAugDIQNeA5kD0wQMBEQEdwShBMkE9QUiBUYFYgV/BaMFxgXjBfwGEwYmBjYGSgZlBoIGnAa2BtoHAwcqB0oHZweGB6MHvAfVB/AIDggqCDsIRAhfCLcJWgogCr8LEQsrCz4LXQt5C4ILiAukC9YL/Qv9C+EL1AvtDBUMHgwDC+wL/QwiDDQMKgwhDDEMTwxsDIUMowy+DMoMyAzBDLMMlQxmDDQMBwveC7MLiQtjC0ILLwssCzMLLgsUCvMK4wroCvUK+AruCtsKwwqnCooKbApSCj0KMAosCisKJwoZCgYJ8AnbCbAJlQmBCXEJXQlCCSMJBAjmCMsIugi6CMIItwiGCDoH9QfOB78HswekB6AHrQfFB9YH2AfYB+MH/wgfCDsIUwhtCIAIfQhfCDgIGggFB+4HzgesB4wHbQdKByQG/gbYBrEGiQZiBjsGEgXrBcoFqwWIBWQFRwU0BSYFEwT7BOAEwwSiBH0EVgQtBAID1AOiA3MDTAMxAxwC/wLUAqECdwJZAkICNgI8Ak0CWwJcAlwCZQJvAmkCVQJKAlMCYwJpAmMCUgIwAfYBrQFoATEBBgDmAM8AugCfAIMAcgBxAHMAcgBuAGkAXQBFACwAGQAJ//P/1/+9/6j/kf90/1D/Jf75/tn+zv7O/sP+qf6N/nX+Wf43/hz+Cv3u/cX9vP4J/qT/P/+M/4H/VP8+/1X/iv+3/8b/u/+l/4H/MP6o/gr9jP1E/Rj87Py9/Jv8hvxx/Fj8QPwo/AT7y/uE+z36//rK+pj6Yvon+ef5pflj+SD43vih+G74Q/gZ9+r3tveE91T3Ifbm9qD2VPYH9cH1i/Vn9Un1GfTK9GTz/vOs827zNvL18qTySvH48cjxwvHI8aLxNvCj8Cnv4e+v73PvLu777trutu6K7mjuU+4f7aHs6Ow368XrhetA6tnqY+oF6cjpmOlZ6Qnotehr6Cnn5uee507m9uaY5j7l8+Wv5WTlDuS35GvkJePZ44jjOuLu4pziQ+Hu4abhaOEo4N/gkeA/3+7fpd9n3y7e796m3lveGd3k3bzdqN2p3bLdrN2O3WLdON0R3N3cl9xR3CvcOtx13LXczdyx3Ijcjdza3Undmt2z3a3drN213a/djd1d3TXdHd0G3Nzcotxx3FTcO9wA25rbLNrn2tza+dsj21Dbgtu+3AXcU9yf3OXdJd1p3bDd8t4g3jneTd5y3rnfH9+U4AngeeDn4VbhxuI84r7jSuPW5Frk1OVE5armDOZy5trnM+dv543niedb5x/nGOd16AnoYuhE5/Hn6ehq6VHqVOtA6/rsdOy57OrtJu1w7cnuP+7k76nwYfDn8T7xfPGy8enyL/KQ8wbzd/PG8/D0CfQn9Ff0l/Tn9UL1oPX99l72zPc995f3zffv+B34YPiq+PD5OfmS+f36bvra+z/7oPwF/Hj9BP2h/jz+x/9O/+IAfgD5ATEBOAFHAXsBvQHoAf8CLgKGAvQDXwPKBEEEuQUmBY0F+wZtBtIHLgeYCBwIogkWCYAJ8AplCsoLGgtiC7AMBgxkDNANSA2/DikOjA7yD1kPsQ/5EEgQtBEzEaYR/BJFEp4TChNuE7QT4RQMFD4UaxSDFJAUtRUMFYEV3xX+FeQVoRUaFCES1hHMEZQSMhMdE9AUOxSNFNkVBxUUFR0VLxU1FR4U/xT1FPgU7xTZFMYUwRTAFLgUrRSgFJMUjBSRFKAUrhS3FL4UwxTHFNQU+RUrFU0VTxVDFUYVVxVqFXkVixWeFagVrBW0FbkVqBWCFV4VRRUnFPcUwRSTFGUULRP2E9MTyhPYE/8UPhR8FKAUpRSaFHoUKBOTErkRmBA3DswNsg0aDO0NCg2EDnUPqRC0EWQR4RJSEp4SmxJbEh8SCxIGEfARxBGNEVERFRDcEKgQdhBLEC8QIhAVD/wP2A+xD4YPWA8wDxgPBw7xDtAOqw6ADkIN9g3GDeEOPQ6GDmUN2w1DDPQM8Az+DPwM8wzuDNsMsQx9DEsMCQuwC2cLWwt4C3sLRAr/CuQK9AsCCvQK1QqvCoEKVwpNCm8KlwqPCkYJ6Am1CccJ9Qn9CbsJRgjYCJUIfAh+CJgIzAkGCRUI4AiJCFAIWAh5CHIIKgfKB4UHaQdYBzcHBwbcBsgGygbSBsoGrAaGBm4GXwZBBgwF0gWrBZcFhQVuBV8FWwVWBUUFKwUWBQME7QTQBLAEjQRoBEAEGQP+A/cEBwQjBDEEIgQEA/kEEwREBG0EewR0BGMETQQ3BCoEJQQgBA8D9wPqA/ED/wQCA/cD7gP6BBcEMQQ4BCwEGwQOBAkEBQQBBAEEBwQOBA8ECwQQBCcERgRcBGMEZgRzBIcEmgSlBKgEogSWBI0EkAScBKEElAR9BGoEXQROBD0EMQQqBCEEDAPxA9cDvwOkA4YDaQNPAzYDHAMGAvkC8gLqAuAC0wLEAq8CkgJyAlACLQIMAfAB3QHRAcMBrAGPAXIBXQFNAToBIgEIAO8A1gC8AKEAigBzAFgAOQAa////5f/F/6H/f/9m/1X/S/9D/zn/J/8O/vP+3P7I/rb+o/6Q/nr+YP5E/in+EP33/d39wv2o/Y/9df1a/T39IP0B/OD8vvyc/H38Xvw9/Bj77/vF+5v7cvtK+yT7APrc+rb6jfpg+i/5/fnK+Zj5Zfk0+Qf42/ir+Hb4PfgG99X3qfd/91T3KvcB9tX2pvZ09kT2F/Xq9br1hPVN9Rr06/S89Ir0VvQg8+3zvvOS82jzPvMY8vXy0fKp8oDyWvI48hXx7vHH8aHxePFL8SHxAPDn8NDwt/Ce8ITwZ/BJ8C3wFO/97+Pvyu+176Xvl++L74Hvd+9s72LvW+9W70/vSO9F70jvTe9R71bvXO9f71/vZO9y74jvne+s77nvyO/b7/LwDvAs8EfwXvB68J/wyvDy8RbxOPFc8YHxp/HR8fzyJfJM8nrysfLp8xfzPvNo85rzzvP99Cz0X/ST9MP08fUk9V31mvXW9g/2RPZ29qr24vce91r3lffP+Aj4Pfhz+K346fkg+VX5jvnL+gT6M/pe+o36vvru+xr7Rvtw+5n7wvvu/Br8Qfxi/IT8pPy//NP84vzv/Pr9CP0f/UH9Zf2I/az9z/3t/gX+If5I/nT+lP6m/rf+0f7z/xX/MP9C/0b/NP8H/sH+c/4z/hH+Df4d/jf+YP6f/u7/NP9X/1X/SP9R/4D/0gBAAMIBSAG7AhUCZgK4AwEDLQM8AzsDIgLkApICVwJCAjMCBgHBAYUBXQE/ASMBBADQAH0AI//n/87/tv+I/1b/Nf8W/tz+iv4//gr93v2s/Xb9Q/0J/Lj8RPu1+xn6ffnj+UL4mff393H3EPbX9s32+fdO96r36/f+9+L3p/dt91P3VPdF9v72g/X49Xz1GvTH9H30MPPW82Py1PI98b/xbfEw8N7wbfAO7/XwJ/B98NrxN/GT8eryO/KD8pfyRPGK8LLwDu+877Xv//CU8SHxHPBF7u/tuez+7KHsZuxI7HDs8u2e7izuae5S7gXtre127XTtme3A7dbt5u4B7iTuP+5S7mruiO6f7qXupO6l7qjuqO6r7rbuxe7T7uTu/O8U7yTvMO9L73jvq+/W7/7wLvBn8J/w0/EJ8UjxjvHV8hvyZfK18wjzW/Ot8/70UPSf9O71PfWI9cX19PYi9lr2kva99tz3APct91r3gPei98j38vgc+Ej4ePis+OD5FPlG+XT5oPnO+gL6Nfpj+o/6wPry+yD7Tvt/+7T76Pwb/FP8j/zK/QL9P/2C/cb+Bv5D/oL+wv8A/z3/ff+9//wAOQB5ALoA9wEyAWwBpwHiAh8CWwKVAs4DCANFA4ADtwPtBCYEWwSHBK4E3AUNBTYFVAVwBZAFrgXFBdkF6wX6BggGHQY+BmEGgQagBsYG8QcXBzcHVQdxB4kHnAewB8kH5QgBCBUIIAg2CIIJHQnjCowK5gsFCxkLNgtKC0gLRQtfC5ULwAvFC7ILsgvXC/4L/wvkC+UMGQxaDHQMZAxVDF8MdgyHDJsMugzYDOAM0gy8DKUMhAxXDCkMAAvZC7ILjQtsC08LOws2CzsLOAshCwEK7wrvCvYK9AroCtsKzQq3CpYKbwpNCjkKMAoqCh8KDQn8Ce4J4AnLCZMJewlrCV4JTgk4CRwI+gjYCL0ItAi6CMAIqwhzCCkH7QfLB70HtQewB7gHzQfnB/cH+gf6CAMIGAgyCEkIYAh4CIgIgghoCEcILQgZCAIH5AfBB5wHdQdPBysHCQblBrwGkwZtBkcGIQX/Bd8FvgWWBWwFSAUwBSEFFAUABOIEvwSdBIAEXwQvA/IDswN7A04DLAMZAw8C/QLUApkCYQI4Ah8CFgIeAi8CNgIvAicCKgIvAiUCDwIFAgwCFAIJAfEB2wHFAaABaAEqAPYA0ACxAJYAegBcAEUAPQBCAEYAQQA3ACwAIgAWAA0ABf/1/9f/tv+g/5X/iv91/1P/Iv7k/q7+lv6Y/pr+if5s/k/+Nv4f/g39+f3X/a39q/37/o//Hv9q/2v/TP87/0n/bP+G/4T/bf9T/y7+2f5G/aP9Lvz6/OT8yPyk/If8c/xf/Er8OPwk+/n7r/tS+vj6rfpx+j/6Evnj+bD5ePk/+QX4xPh9+D34DPfm97/3jvdY9yX28va39nH2I/XT9Yf1SvUh9QT02/SR9Czzx/N08zDy7vKp8mHyFfHN8ZnxgfFp8SjwtfA279vvpe9y7y7u7e7D7qLudO5B7iTuFO3b7VDskevs647rXesg6sLqXOoM6dLplelD6OLoiehC6AfnyOd95ynmz+Zy5hrlzeWG5Tnk5eSQ5EPj+eOp41fjCOK+4nDiG+HH4XvhN+Dz4KvgXuAQ38PffN883v7eu95v3iLd4N2s3Ybdb91v3X/dhN1p3S/c7dy23IbcUtwZ2+3b5twP3FfclNyj3JDcjdzC3RzdY9153XLdcd123WfdNtz23MfctNyv3J7cf9xh3EvcJtvU21Ta19qP2ozasdrh2xLbSNuJ29TcI9xv3LDc7N0v3X7dy94C3iLePd5n3q3fDt+A3/bgauDa4UvhveI24rnjRePQ5FTkzOU75aPmC+Z35uDnM+dn53znbuc+5wrnFOd/6A7oU+gp5+roEui/6bXqqut/7CbslezU7QTtQ+2N7eDuUu7778jwg/EI8V/xovHd8hbyWvK48yvzmfPs9CP0SfRs9Jb00PUd9Xb10fYq9oj29fdm98b4CPg6+HH4sfjx+S35cvnN+jz6rfsX+3n73PxF/Lv9Qf3V/mr+/f+ZAEMA5wFZAYABegGDAbcB9wIdAjICXgK1AyQDlAQHBIQFAgVwBdIGNwahBwkHcgfpCG8I7QlbCcQKNAqlCwILTQucC/0MbgzhDUwNrg4JDmIOvg8hD4sP9xBnEOYRfBIXEpUS3xMJEzwTihPbFA4UJhRCFHYUsxThFQAVKRV7FfAWYBakFr0WvBaBFb4UXxLdEf8SIxLvE78USRSoFPwVOhVTFVsVaRVyFWQVSxU+FTsVLxUZFQcVART7FPAU5BTbFM8UwhS/FMsU3RTqFO8U7BTmFPAVFxVPFXQVdxVvFXkVjhWcFaEVrRW9FcQVwRXEFc0VxxWlFXUVSBUfFPYUyBSLFDYT0BN5E0QTKBMfEzoTgBPRFAUUFBQJE8oTJRIREMMPdg5MDWwNDQ07DbkOSQ7yD9QQzBGJEe8SMRJ2EqESixJMEiISHBIWEfYRyBGaEWYRJhDlELIQihBnEEsQOBAjEAMP2g+xD4kPXQ82Dx4PFw8SDv0O1w6iDmEOHg34DggOPA5NDgINdQ0EDOkNAw0SDQQM/A0BDPcM0QynDIAMOQvKC28LaAuXC6YLewtQC08LUAshCtwKwArOCs0KpAqFCqMK5gsECtcKeworCgoKEgoaCfsJrAlNCQEI0Ai0CL4JAAlbCX0JLwijCEkIWQidCK8IbAgDB7YHlQeGB2sHPwcSBvgG+AcDBv8G3QavBowGdQZWBiQF7gXGBawFlAWBBXkFeAVxBVwFQgUuBR8FDQT2BNoEuwSYBHAERwQkBBEEEwQkBCwEGwP/A/cEEwREBGwEfAR4BGwEWwRHBDoEOQQ6BDAEGgQGBAQEEAQWBA8EBwQSBDMEVgRiBFMEOQQqBCkEJwQcBA4EDAQZBCYEKwQzBEkEZwR2BHQEbwR4BI0EoQSuBLUEtASqBKAEogSvBLUEqASRBIEEeQRqBFAENgQkBBgECAP4A+wD4gPOA7ADkgN7A2UDSAMpAxMDCAMBAvoC8wLpAtQCswKLAmYCRAIlAgsB+wHyAegB1gG9AaQBjgF6AWIBSAEuARUA/ADjAMgArgCVAHkAWgA+ACQADP/u/8v/qP+M/3j/a/9g/1T/Qv8r/xL++f7h/sz+uv6q/pb+ev5a/jv+I/4N/fX92P26/Z/9hv1t/VP9Nv0Y/Pn82vy7/Jz8f/xh/D78Ffvq+777kPtj+zn7Ffrz+s/6p/p8+kz6Gvnl+bD5fPlI+Rf46/jA+I/4V/ge9+v3vfeS92f3PfcV9uv2vvaN9l32MPYF9df1pvVz9UH1EPTe9Kz0ePRC9A7z3/O1843zZPM88xXy7/LH8qDyefJV8i/yCPHi8bzxlPFn8T7xHfEE8O3w1PC48J7wg/Bp8FDwOPAf8Afv8O/c78vvu++v76bvnO+Q74Xvfe9372/vZ+9j72TvaO9s72/vce9x73Pvfu+S76rvvu/N79rv5+/28AvwJ/BH8GPwevCV8Lvw5vEO8S3xSvFp8Y3xtPHf8gzyOfJj8o7yvvLv8yDzT/OA87Hz4fQO9D30b/Si9NH0/vUv9Wf1o/Xd9hX2SvaB9rv29vct92P3mvfU+A74Q/h4+LH46/ki+Vj5kPnK+gD6MPpf+pD6wPrt+xj7Q/tv+5v7yPv1/Bz8O/xY/Hf8lvys/Lv8xvzS/OH8+v0f/Uf9aP2C/aP9zP3w/gr+Jf5M/nj+nP62/s/+7v8Q/y//TP9q/4b/m/+h/5D/Z/8t/vD+tv6D/lz+Tf5h/pL+zP74/xD/If9C/3T/rf/qAD8AuwFSAeECUAKiAuUDHwNPA2UDTwMKArgChAJwAlgCIAHWAZgBbgFWAVEBUQEtAMkASv/5/+v/7//W/6P/c/9D/wD+r/5q/jr+D/3f/a/9gv1E/Ob8afvd+0b6pvn7+U34qfgb96v3Wvcu9zz3kvge+K35Evk5+Rv4wfhE99D3hvdb9zH28vae9kD16PWo9Yr1gPVk9RH0hPPe81Ty/vK+8l7x1fFQ8QPw7/D38RfxZvHn8m7yyPLc8qTyIvFt8L3wSPAj8ELwk/D08Rnwse+y7nfteOzj7JXsXuw/7GDs0+127gnuVe5L7gTtqu1p7Vjtbe2O7aztyO3p7gruIu437lLucu6K7pXume6e7qDun+6h7q3uve7M7t/u+O8P7xrvH+8x71jviO+y79fwBPA78HbwsPDs8SzxcfG58gPyUfKh8vLzQ/OU8+T0L/R39MP1GvVv9bP15PYY9ln2mfbG9uD2/vcp91n3gfel98v38vgb+ET4cPie+M75BPk++XT5o/nR+gT6N/pl+pL6w/r1+yX7UvuC+7X76Pwc/Ff8lvzR/Qb9Pv1+/cD9/P43/nL+r/7r/yj/Z/+l/+EAIABiAKEA2wEUAVEBjwHLAgYCQgJ8ArQC7QMpA2QDmQPMBAMEOARnBJEEwATyBR4FQQVhBYIFnQWvBb4FzAXaBekGAQYlBkoGawaLBrIG2wcCByUHRgdfB24HfAeRB60HyQfmCAEIEQgiCFwI5AmlClcKvwrlCvcLDgsfCyALIgs/C3MLngupC6QLsgvWC/AL5AvOC+YMNQyKDK4MqQymDLIMuwy2DLcMzgznDOgMzwyxDJUMcgxGDBwL9wvSC6oLhwtrC1MLQAs5Cz0LPgswCxkLCgsGCwMK9wrmCtcKywq1CpAKYQo8Ci4KMAouChwJ/wnlCdQJxAmuCXAJWwlOCUMJNwkmCQwI5wjBCKsIrwi/CMAInQhdCBYH4QfDB7cHtwfFB90H+ggRCB8IJQgpCC4INwhCCE8IXwhwCHwIeghtCFwISwg5CCIIAwfdB7EHgwdcBz0HHQb2BsoGogaABl4GPAYZBfcFzwWhBXMFSgUrBRQFBQTzBNcEswSUBH0EXgQnA90DlwNjAz4DIAMKAvwC6gLDAogCTAIgAgYB/QIBAgkCCgH/AfMB7wHtAeEB0AHGAcYBvwGlAYcBdwFuAVcBKADvAMEAnwB9AFYALAAL//z//wAIAAn//P/s/+T/5v/v//r/+//o/8L/nf+J/4P/fP9r/0//If7d/pf+b/5u/nv+d/5e/kH+Lf4i/hj+BP3f/bf9tv35/m3+3P8a/yX/Ff8I/xH/Lf9E/zv/FP7o/rv+bf3q/VL84vyz/KX8lfx8/Gb8VfxD/DD8IvwJ+877bfr9+pz6VPod+e75w/ma+W35PPkJ+NX4l/hR+Az31vet94H3SfcN9tn2q/Z39jX16/Wd9VD1DvTj9M30svR59B/zuPNV8vTyl/JJ8g/x2vGZ8Uvw9/CZ8CzvwO94717vVO8z7vbuuu6O7mPuLe377eDtw+1z7ODsOeu763nrT+sQ6rXqWOoL6cvpg+kn6MLoaegl5+3nr+dh5wjmquZP5frlquVd5Q/kv+Ru5CDj0ON94yni2eKO4kLh8+Gg4VHhB+DB4HvgMt/o35/fWN8V3tLeiN453ezdrN183VjdP9083UvdVd093P/cstxy3EPcGNvn27nbo9u42/fcQtxu3GvcWdxl3Jrc3N0P3TDdRd1H3SPc3dyU3GncZNxy3Hrccdxf3EbcE9ur2xraldpQ2lHadtqg2s7bCttU26Xb9Nw73HXcrdzy3Ujdn93g3gjeKt5a3qXfCN963/DgY+DR4ULhuOI14rjjP+PH5Enkw+Uz5Z/mDOZ95ufnOOdj52znVecm5wXnKeef6B7oRugQ5+joO+kM6gfq6eun7EDsqOzl7RjtXe2r7f7ub+8c7+/wqvEr8XzxuvHz8jHygvLs813zv/QL9Ej0e/Sl9M71BvVS9an2APZW9rL3GveE9+X4OfiF+M35DvlF+Xf5t/oS+oH68ftX+7j8HvyP/Qb9gv4C/oj/HP/DAHcBGgGDAaQBogG1Ae4CLgJUAmsCmgLyA2AD0QRFBMIFQAWuBg8GcAbXB0cHvgg8CLoJLwmeCg4KewrbCy4Lhwv7DIkNHw2mDg0OTw57DqoO7g9LD78QRRDaEXkSGhKsEx0TYROLE7wT/BQzFE4UXBSAFMQVEhVVFYoVvxYHFmkW1RctF2UXjReSFxoV0hQBEocSIRK9E6oUWRTBFRYVYBWKFZcVnhWmFaEVkBV/FXIVYRVOFUIVPhU4FSsVIBUYFQsU+RTuFPUVBRUSFRUVEBUJFRIVPBV2FZ4VphWkFbEVwxXHFcQVzRXdFd4V0RXSFegV7RXAFWsVGxTyFOoU3hSlFDATohMqEs4SdRIdEfUSHRJ2EsES5RLeEoQRoRBMDvMN/A2CDXcN2A6MD0sP2hBLENsRhhIMEkkSYBJ2EoASZxJDEjYSNRIbEeURtRGTEWgRJxDnEL0QpBCJEGoQTBAsEAAPzw+mD4oPbQ9MDzIPKg8rDyAO+g7BDn0OOw4RDhkORA5RDgUNeQ0NDPsNFw0VDPIM3QziDN0MvgylDJIMUwvZC3MLdgvEC/UL7wvxDBcMFAupCxgK1grvCwQK2gqpCsELIguAC5ULUgrYCmAKIwooCkAKMgn3Ca8JagkmCPwJDglOCWcJGwiTCD8IUwiSCKAIaAgZB+MHyQe3B58HfgdWBzIHIAcfBxgG+gbNBqYGjAZuBkMGFQXvBdEFtgWjBZwFmgWRBXwFYwVPBT8FLQUbBQkE8wTWBLEEhQRZBDkEKgQoBCQEFQQEBAYEIARHBGcEdAR0BGsEXgROBEMEQQRGBEcEPAQsBCMEIQQeBBYEEwQkBEoEbgR0BFoEOAQpBDAENQQlBAwEAQQOBCMENQRGBF8EeQSDBHwEegSIBJ8EswTABMwE0wTNBMMExQTVBOAE1AS4BKEEkQR/BGEEQwQvBCIEEgQBA/gD8wPmA80DtwOrA6MDjgNsA0kDLgMbAwwDBAL/AvEC1AKtAogCZwJIAiwCGAINAgQB9gHkAc8BugGjAYoBbgFSATcBHQEEAOsA0AC1AJgAewBdAEEAJwAM/+3/zP+u/5X/gv90/2f/V/9D/yv/EP71/t7+zf6//qz+kP5v/lH+Of4l/g398P3Q/bP9mf2B/Wf9S/0u/RH89PzX/Lv8ofyF/GP8O/wP++L7svuC+1b7L/sL+ub6v/qV+mf6NfoA+cr5k/lc+Sr4/vjX+Kv4dvg9+Af31/ep93v3T/cm9v720vaj9nT2RvYY9ez1v/WS9WT1NPUC9M70mvRl9DH0A/Pa87Xzj/Nl8znzEPLo8sHymvJz8kvyJPH/8drxs/GK8WPxQ/Eq8RLw9/DZ8LzwofCJ8HLwWfA/8CfwEvAA7+/v3+/S78fvvO+x76fvn++Y74/vh++E74Tvhu+I74nviO+H74nvle+q78Hv1e/m7/XwA/AR8CXwQvBj8IDwmPCy8NTw/PEi8UHxXvF88Z/xxfHu8hzyTvJ+8qjyz/L58ynzX/OU88bz9PQf9E30ffSw9OP1E/VD9Xf1rvXk9hf2TfaJ9sr3B/c792n3nffY+BT4S/h/+LT47fkl+Vz5kvnI+fv6Lfpg+pP6wvrs+xf7RPtv+5r7xfvv/BP8MPxL/Gn8g/yV/KP8svzE/Nn89/0g/Uf9Yv15/Zv9yf30/hP+L/5R/nT+k/6y/tn/BP8r/0v/Z/+C/5v/t//Y//gABv/5/9L/mf9Y/xn+5v7E/q/+pv6n/rL+0P8L/1j/mf+9/+cASQDwAakCNwKLAscDDANYA4YDdQMsAtkCpQKLAmcCKAHeAZgBWwEzATYBVwFXAP8AdwAaAA4AHwAP/9r/nP9d/xP+x/6K/l3+Mv4G/d79r/1i/PP8d/v9+3v63/oy+ZD5EPiz+Gr4Jvf09/r4U/jo+Xz53foA+ef5iPjo+C73mvdP9z73O/ci9uf2nfZo9mX2hfaY9mv19vVf9OP0nvR59D7z0fNI8sTyT/Hs8b/x+vKZ80bznPNz8u/ySfGr8S/w6/Dg8P/xJfEm8NjwKe817kDtgO0D7LXsf+xl7H3s2O1j7e7uQO5A7fztoe1c7UDtSe1l7Ybtp+3H7ePt+O4N7inuSe5j7nPufu6G7onuie6N7pnuq+687tHu6+8D7xDvFu8k70LvZu+H76bvy+/78DPwcfC18P7xS/Ga8eryPPKM8tnzKfN989D0GvRd9Kj1BPVi9az13vYR9lP2lvbA9tb27/cb90/3gPes99f4Avgq+FH4evih+Mr4/fk5+XP5pfnT+gb6Ovpq+pf6yPr8+y37XfuP+8H78vwn/GT8pPzd/Q79Q/2B/cD9/P40/m3+pf7e/xv/Wf+V/84ADABMAIoAwQD6AToBewG2Ae8CKwJmApwC0QMJA0MDeAOpA90EEQRDBHEEoQTSBP8FJwVNBXEFjAWfBbEFwwXUBeYF/QYaBjcGUgZxBpUGugbfBwYHKgdBB0wHWQd0B5UHsgfQB/MIDwgiCE8Ixgl/CjUKqArTCuEK8wsGCxALHgs9C2wLlQuqC7YLywvmC+4L3QvWDAQMZAy9DOUM7gz8DQ8NCgzrDNQM2QzmDN0MwAyiDIgMZww9DBUL8QvKC58LegtfC0sLPAs5C0MLTQtKCzsLLAshCxEK+griCs4KuwqgCncKSQoqCiQKLgowChoJ9AnSCbkJowmJCU0JPAkvCSQJGwkOCPQIywilCJoIsAjLCMkInAhWCBEH2we3B6gHswfVCAAIIwg5CEYIUAhXCFcIUghOCFEIXAhpCHEIcghwCG8IawheCEYIJQf6B8cHlgduB08HLAb/BtQGsgaWBncGUwYtBgQF1AWjBXYFTgUoBQUE7QTbBMMEowSGBHAEUQQYA8wDigNgA0ADHQL4AtwCwwKfAmoCMwIKAfIB5gHgAdwB1AHIAbsBtAGsAZ8BkQGGAX4BbAFQATkBMgEvARYA4gCqAIEAYwA7AAX/zf+p/6H/rf+6/7j/qP+Z/5v/rv/J/9//4//M/6T/f/9t/2X/Wf9D/yn/Bf7N/oz+Xv5Z/mj+a/5a/kP+Nv4x/in+Ef3s/cr9x/30/kH+jv7C/tn+1v7E/rv+yP7d/tn+sP57/kn+CP2f/SD8u/yG/HL8YfxN/Dz8Lfwc/A78BPvp+6P7MPqx+kz6CfnW+ab5dflH+Rn46Pi2+IT4TfgP98/3l/dk9yr25Paf9mr2P/YP9dT1l/Ve9SX07/TJ9Lf0pPRz9BzzqfMn8pzyGvG98YnxY/Ei8LfwKu+R7wjusO6f7sHu5+7q7svune5q7jDt+u3V7bTtb+zx7Fvr5Oul64PrUusC6qTqSen66bHpY+kK6KvoU+gL58/nj+dB5ubmiOYw5dzli+U65OrkneRP4/3jqONT4wDir+Jh4hThyOF64Svg3+CY4FLgCt/A33ffMd7s3qTeWN4J3b3dgN1S3TDdGN0R3RvdId0J3M3chdxK3B3b79u624jbattv25zb4twb3CXcBNvj2+3cKtyF3NvdDt0J3M3cdtww3BbcJ9xL3Gjcbtxh3EPcBduQ2vHaYNoW2hfaOtpf2oraytse23XbwdwB3Djccdy43RXdc9283ereEd5H3pjfAN923+zgW+DI4TvhtuI24rbjOuPC5EfkxOU35aXmFOaE5u3nPOdh517nO+cR5wfnQ+e96CToLufx5+XoZelU6k3rFOuz7Dzsouzm7STtdO3L7iTumu9J8Bzw1fFT8aHx2/IR8lXytvMt85vz6vQm9GP0oPTS9P71OPWF9dj2KfZ69tb3Ofeb9/v4XvjC+Rz5YfmU+cL6AfpY+sH7LvuU+/b8X/zS/Un9vv4y/q3/Of/bAIYBHQGCAa8BwwHnAiQCYwKPArMC7QNHA7IEHwSOBQQFewXpBk8GtAchB5gIFgiSCQkJgAn/CnsK2gsaC18L0wx6DTQN3w5pDscO8w76DwMPLg+HEAcQpRFWEggSpBMcE28TpxPZFBYUVBR6FIcUnRTaFTIVihXXFh4WYBadFukXTxe5GAYYPRhjGCkXDRURExESIBKDE4wUaBThFTAVgBW9FdQV1xXZFdcVzBW6FagVlRWGFX4VexVyFWQVVxVNFT8VLhUjFSQVKxU0FT0VQhVCFUsVbxWmFc4V2BXXFeEV7BXqFecV8xYBFfcV5BXwFhoWIRXOFTwUxRSjFMkU7BTIFE0TphL/ElgRkBC2EBwQAxBRELUQ+xESENAQEw8IDjEN8w5CDt4PmxBfEPoRRhFoEasSHBJ8EpsSiRJxEl0SShJBEkgSQhIUEdERoBGFEV8RIBDkEMUQtxCgEH0QWhA1EAYP0A+oD5UPhg9sD08PQQ9CDzoPGQ7lDqcOYQ4pDikObA6tDokN/A1tDTQNOA0mDO8MyQzHDMQMqgyaDJUMZAvvC40Lmwv8DEQMWAx/DMoM0gxJC4ALDgsWCzELDArPCtILLguqC/cL2gtRCqQKQQpcCrYK6ArQCo8KQAndCXIJLAkcCRUI5AigCIcIogi1CJIIVAgsCCIIFwf6B9oHvgecB3AHSwc7BzEHFwbuBscGqAaLBmgGQgYeBfwF3wXLBcMFvAWwBZwFhwV1BWQFVAVCBS4FFQT3BNUErwSIBGYESwQ1BCEEEwQQBBwEMwRNBGMEcQRyBGcEVwRJBEAEQARIBFMEWQRWBEkEOAQlBBcEGAQuBFMEbgRpBEcEJAQbBCkENAQkBAUD8QP5BBAEKwRGBGIEdwR7BHUEeASKBKQEugTPBOYE9gT0BOsE8AUIBRwFEwTuBMMEowSIBG4EWARNBEQEMgQZBAUD+wPuA9sDywPLA9IDywOtA4MDWgM3AxwDDwMOAwwC+wLbArcClAJzAlQCOwIqAh0CDwH/Ae0B2AHDAawBkgFzAVUBPAEnARIA+ADbAL0AngB8AFsAPgAkAAn/6v/K/63/lf+F/3r/bf9c/0T/Kf8P/vn+6f7Z/sX+qv6L/m/+V/5A/iX+B/3n/cn9rf2S/Xf9XP1B/Sj9Dvzz/Nn8wfym/IX8Xfwx/AX71/un+3n7T/sn+v761Pqr+n/6TvoY+eL5q/l0+UH5Ffjv+Mb4lPhd+Cj39ffD95H3Yfc29w325Pa59oz2XfYu9gD11vWs9YL1VPUj9O/0ufSE9FT0KvQF8+Lzu/OO81/zMvMK8uPyu/KS8mryQ/If8fvx1vGw8YzxbvFU8TzxIPEA8OHwxfCs8JPwefBd8EXwMvAi8BPwA+/07+fv2u/P78fvwO+4767vqe+n76fvpe+j76PvpO+l76nvs+/D79Xv5+/68A3wHfAt8ELwX/CA8JzwtPDM8OnxDPEx8VTxdPGU8bbx2/ID8jHyZfKY8sTy6fMO8zzzc/Oq89z0CvQ49GX0lPTH9P71NPVn9Zf1x/X29iP2U/aO9tD3DvdB9273oPfb+Bj4UPiD+Lb46/ki+Vr5kPnE+fb6KPpd+pD6vvrq+xr7Sfty+5b7ufve+//8Hfw5/FX8bPx9/I78pvzA/Nv8+f0d/UH9XP13/Z39y/32/hj+Of5a/nb+j/6u/tr/Cf8z/1n/f/+e/7L/w//eAAQAKAA+AEMANwAgAAL/2/+l/1//F/7Z/rH+qf7R/yP/dP+f/7cAAACfAWcCDQJvArEDAANaA5QDigNHAvkCwAKTAlkCDgHFAYABNgD4AO0BFQEuAPgAiwA5ACoANAAi//D/tP9z/yj+3/6m/nf+R/4a/fL9u/1c/N/8a/wK+5/7F/qF+hD5zvm1+aT5fvlD+SD5Qfmi+gf6PfpG+jD56vlX+Iv30vdw92f3hveX94T3WPcz9zL3Tvdc9zL2yPZE9dn1qPWk9Z/1bfUD9GvzuPMM8qbyw/Na9Ab0UfQS83ry2vJa8fzxvPGY8YXxYfEI8HXvxO8V7njt6O1k7Pzsvuyu7MntE+2H7gDuSO4+7fLtk+1N7THtN+1P7Wztie2l7cHt2e3w7gnuJO477kzuV+5g7mXuaO5v7n3uke6l7rvu1e7u7wHvEe8j7zrvU+9s74jvqe/R8ALwOvB78MLxD/Fg8bLyA/JR8p7y8PNL86fz+PQ99In06vVP9Z710vYE9kb2iva19sz25vcU9073hfe59+z4GvhC+Gr4kvi5+N75Cvk/+Xf5qfnZ+g36RPp1+qX61/sL+z77cPuk+9f8B/w7/Hj8tvzr/Rj9Sv2G/cX+AP44/nD+pf7b/xX/U/+O/8X//wA8AHYArADkASUBZgGeAdQCEAJNAoUCtQLpAyADVgOIA7kD7QQgBFEEggSyBOEFDQU4BV8FfgWXBa8FyAXcBewF/gYRBiMGNwZSBnIGkQavBtUG/AcWByIHNAdVB3gHlAezB94IBAgcCEYItAlnCh8KmQrKCtsK7AsACxILJgtBC2QLiQusC8wL6gv+C/4L9QwGDEwMtQ0JDSsNMw1DDVINQA0ODOQM2AzYDMcMqQyODHkMXAw3DBML8AvHC5gLbgtSC0ALNws+C1ILZQtpC10LSgs0CxkK+wrfCsYKqwqICl4KNwofCh8KJwokCgkJ4Am6CZwJgQllCTYJJgkXCQoI/gjwCNIIqQiKCJIIuQjbCNYIpwhmCCgH8QfCB6oHuAfoCB4IRAhZCGgIdwh/CHkIawhgCF4IZghvCHQIdAh2CHwIfgh0CFwIOQgKB9YHpQd/B10HNQcHBt4GwganBoMGWQYwBgUF1AWiBXkFVAUqBPwE2QTFBLIElQR3BF0EOwQCA70DgwNeAz0DEALeArYCmQJ4AkwCGwHzAdoByQG6AaoBmwGNAYQBewFxAWMBUwFGATkBJQEPAQEA/QDyAM0AkgBaADYAHP/z/7b/eP9R/0j/U/9f/1//VP9N/1r/ef+d/7X/t/+h/37/Xv9K/zv/I/8E/uj+zv6p/nr+Vf5M/lL+Uv5I/kH+RP5G/jj+GP3w/dP90f3u/iH+Wf6N/q/+s/6S/mT+S/5N/k7+Ov4X/fH9vv1t/Qj8rvx0/FD8NPwc/Av7/fvu++X74fvM+4j7E/qQ+if54Pmo+Wv5LPjz+MH4kPhc+Cv3+/fH9433VPcZ9tb2ivZC9gn12PWi9Wn1QfUu9SD1BvTl9Mb0nfRX8+zzY/LD8hXxd/EI8M7wpPBc7+bvTe6x7jPt9O397jLuae6I7ozuce437fPtyO227YrtFOxp697rqeus65/rWurz6o3qNOnh6Y/pPujs6JToO+fq56fnZ+cc5sPmZuYO5bzla+UX5MXkeOQr49fjfuMo4tjiieI44erhn+FV4QngveB04C3f4d+U30rfBd7B3nneK93c3ZPdV90q3Qrc89zr3O/c7tzR3JrcYNw03Anb0tuR21rbOtsy20jbftu929nbvtuM233bstwc3Ibcudyh3FLb+tvE28Lb6twi3E7cXtxT3Dfb/NuG2tnaMdnT2c3Z9Noh2lHaltru20TbjtvN3AjcR9yT3O/dT92b3c3d9t4u3oLe8N9s3+bgV+DE4TnhteIy4rDjNePD5FDk0OVF5bTmIOaL5u3nOedd51LnKOcC5wznXOfR6B3oCufJ59nogemN6oXrM+u07Czsl+zr7TrtlO3z7lLuze988Erw//F98dDyDvJG8o7y9fNx89j0F/RG9IL0yPUC9TL1b/W89gr2Ufaf9v33X/e8+Br4hPj1+Vf5nvnT+gb6RvqY+vr7YvvK/DD8m/0N/YP99/5p/uD/Yf/uAIABCAFyAbcB6QIcAlsCmQLQAwcDTwOpBA0EcwTdBU0FvAYpBpQHAQdzB+oIZAjcCVUJ3gp1CvoLRQtlC58MLAz5DcUOZw7hDzkPYw9kD2APhA/fEGoRFRHREoQTExN1E7MT5BQeFGcUqBTHFNEU8BU9FZ8V+BZLFqUW9BcmF1sXuxg0GI8YxBj1GO4YEBYRE7ESOxJRE2EUbRUCFVQVpRXwFhUWGBYUFhAWBhX1FeIV0hXHFb8VtBWmFZYViBV9FXEVaBVjFV8VWhVdFW8VgRWHFYwVqhXfFggWExYQFhcWHhYdFh4WLBYwFhkWBhYpFmcWXRXNFPYUVxQ5FHgUtxSsFEMTkxK8EbsQhw9EDlUOBg5CDrYPHg9kD3MPOw7mDtgPSxATENwRfxH+EkwSXhJWEnISuhL2EvISvxKGEl8SRxI8EjoSLBICEcwRoxGHEVsRHRDoENEQxhCwEIsQZxBHEB8P8A/KD7YPpw+ND20PXQ9bD1EPNQ8PDuIOoA5XDkcOoA8cDysOnA3cDXMNZQ1VDRwM6wzjDOAMxAysDKgMiQwyC+UL9QxIDIEMjAy1DQkNHQyXC8ELOAswC08LPAsCCuQLCgtiC7MLtQtKCrEKaQquCzYLhwt4CzcK6QqACfEJaAkNCOEI0gjqCSUJTgkmCLgIXAhMCGgIawhFCBcH9gfVB6cHfgdpB14HRgccBuwGxAajBoYGaAZIBiYGCQX1BecF2gXJBbcFpwWYBYoFewVmBUcFIQT8BN8ExgSrBI8EbgRKBCoEGwQhBDEEPwRNBF8EcARzBGQETgQ/BDoEPQRHBFgEawR0BGsEUgQ0BB8EHgQwBEgEVgRLBC4EFQQSBB8EKAQcBAQD9QP9BBYENgRVBGsEdARvBGkEbwSBBJcErwTPBPEFBgUFBP8FCwUwBVEFTwUkBOoEuwSdBIgEeARvBGkEWAQ8BCAEEAQDA/ID4QPeA+UD4gPIA58DdANPAzEDIAMdAx8DGAMAAt4CuwKYAnkCXwJKAjgCJwIVAgEB7QHaAckBsgGTAXMBWwFLATsBIgEDAOMAwQCeAHoAWwBAACUABv/l/8b/rv+d/5L/h/93/2D/SP8x/x7/Df76/uT+yv6v/pX+ev5d/j7+Hv4A/eP9xf2n/Yr9cP1Y/UH9KP0O/PT83PzC/KH8efxP/CP79/vI+5v7b/tE+xj67PrC+pX6Y/ou+fj5w/mN+Vr5LfkF+Nr4q/h5+Ej4F/fi96z3efdL9yL2+vbS9qf2efZK9hz17/XD9Zj1bfU+9Qr00/Sg9HX0UvQx9A/z5vO484fzWfMw8wjy3/K28o7yaPJF8iHx/PHY8bbxmfGA8WfxTPEu8Q7w7/DT8LjwnPCA8GjwVvBH8DjwKfAa8Arv++/v7+fv4O/X787vyu/L78rvxe++773vwu/H787v1+/i7+/v//AT8CfwOfBL8GLwgPCe8Lnw0PDn8QDxHvFD8WrxjvGv8c/x9PIe8kvyfvKy8uDzB/Mu81zzj/PB8+/0IPRS9IH0rvTf9Rn1VPWJ9bf15PYQ9jn2Y/aW9tP3EfdH93f3qvfi+Bz4U/iH+Ln46/kf+Vb5jfnC+fP6JvpY+on6tfrl+xj7SPtu+4z7qPvI++f8BPwi/D78VPxn/H38nPy9/Nz8+v0a/Tz9W/1+/ab9z/3z/hP+N/5d/nz+l/64/uD/B/8p/1D/gP+s/8f/2P/rAAQAHQA3AFMAbwCGAJMAkgB2AD3/8f+i/1P/D/70/xL/Uf+B/5//4wB2ATwB7AJgAq0C/QNSA4sDjANeAyIC6AKmAlAB8wGnAWoBJwDiAMAAzwDgAMEAewBDAC8AJAAI/+H/tv9+/zf+8v68/or+Uv4e/fL9s/1L/M/8afwf+9D7bvsO+tD6xvrz+0H7d/tf+wb6t/qi+qr6nPp2+lD6F/mf+Ob4NPfT98z39fgf+DH4LPga+Av3//fe9473FPaQ9i72BvYP9ij2IfXe9Vv0r/QC847zg/Pe9Fb0j/Rl8/3zjvMu8tDybPIM8bTxTfDE8Cvvqu9P7vbude3U7UztCO0H7S/tde3V7jXuZe5H7e/tje1K7TDtNu1L7WDtdu2S7bTt1e3u7gLuFe4m7jPuOu4/7kXuTO5W7mTudu6N7qfuwO7Z7vHvDO8m7z7vVO9s74rvre/T7/3wK/Bd8JXw1PEa8WTxrvH48kTyl/L381vzt/QH9Fz0wfUr9X71tfXp9i72d/as9sv27fce91j3kPfH9/34K/hR+Hj4pfjS+Pn5IPlN+X75rfnd+hL6Sfp9+rD65fsc+1D7g/u3++v8G/xP/Ir8xfz1/R/9T/2I/cT9/f41/m3+ov7V/wz/Sf+E/7r/8gAtAGUAmQDQAQ8BTQGCAbQB8AIwAmkCmQLJAv8DNgNoA5kDzAP+BC8EYASRBMEE8AUeBUcFaQWIBacFwwXWBeYF9QYFBhQGJAY6BlQGagaABqEGyAbnBvoHEwc3B1kHdAeWB8QH6wgBCCcIkwlFCf4Kfwq+CtoK7gsCCxYLKQs7C1ALcQuhC9gMBQweDCQMKgxNDKINEA1kDX8Neg10DW0NSw0SDOEMywzCDK0MkAx4DGYMTwwyDBUL9QvLC5kLbAtLCzcLMgtBC14Ldwt+C3QLXgtACx0K+wreCsIKoQp3CkwKKgoYChcKGAoLCewJxAmgCYIJZglLCSoJGwkJCPYI5AjOCK8IjQiBCJwIzAjrCN8ItQiECFkIKgf4B9kH4ggPCEQIZwh7CIsImwiiCJ0IkgiICIQIhAiGCIcIhQiGCIgIhwh6CF8IOAgKB9gHqweHB2YHPwcVBvMG1ga0BoUGVgYxBg4F4QWvBYMFXQUvBPsE0QS4BKQEhwRmBEUEHwPoA6gDcgNJAyEC7gK5ApACdAJXAi4CAAHWAbkBpAGRAXwBaAFaAVIBTAFCATIBIAEOAP4A7QDdAM8AwgCqAH8ARgAV//f/4f+9/4n/Uf8n/xH/Cv8L/wz/CP8J/xn/Of9c/3P/ev9x/1v/P/8l/wv+6v7H/qf+jv5z/lP+O/4x/i7+Kv4p/jv+Wv5r/lv+Lv36/df90v3v/iL+Xf6S/rP+r/5+/i/96P3E/b79wv3B/bT9kP1L/PT8ofxi/DL8C/vt+9n7yvu8+7P7sPuf+2X6/PqC+hn5y/mF+Tj46fir+H34Uvgk9/X3xveS91X3Fvbc9qP2ZfYo9fD1tvVz9Tb1G/Up9T/1PPUX9Nn0gvQO84Dy4PIy8Xnw0PBV8Arvzu987w/ul+4n7dTtru2z7cvt5e397g/uA+3N7Y3tcO1t7Tnsqev465brouvQ68DrXuri6nnqIunL6XDpGujK6HXoGufE53znPOb15p7mQuXq5ZnlSOTz5J/kUeQD46/jVeL/4rHiZOIT4cTheeEw4OXgmOBO4APfs99i3xre2t6Z3lDd/92v3WndL90D3OLczNzC3MLcu9yc3GvcP9wf2/jbu9ty2zjbFdsA2v3bHtte25TbntuI24PbsNv/3D7cRNwP277bedta22jbmdvb3BHcKNwm3Bfb7tuF2tLaD9mT2YLZs9nx2izactrG2xjbYdum2+zcNNyD3NzdN92D3bfd394T3mTe1t9a397gVeDF4Trhs+Ir4qbjMePI5Fzk3uVU5cXmMOaR5urnNOdb51DnJOcE5x7neefm6Bbn6Oec57TodOmZ6p/rSOu57Cnsnu0F7WDtve4c7n/u/O+r8HLxIfGh8f/yS/KM8tTzN/Or9Ar0Q/Rw9LD0+/U59Wz1qvX29j/2gPbN9y/3lffz+FD4uvkp+Yf5zPoF+kH6hPrR+yr7j/v5/GX81f1I/b3+L/6g/xP/h//8AHMA7QFgAcICEAJSApIC0gMVA18DsAQGBGAEwQUrBZoGBwZwBtwHSwe5CCUIlQkMCZQKMwraC14LnAuxC+4MiQ1dDh4Opg8JD1wPkw+nD7MP4hBHENsRiRI9Et8TXhO5E/0UORR7FMQVABUaFR4VOBV+FdsWOBafFxIXaxeQF6oX/Rh7GNsZDBlIGXsY8xciFI4SnRJEEzEUXBUbFYAV1RYlFlUWXhZZFlEWRBYvFhwWEBYIFfoV5xXUFcgVvxW0FaoVqBWpFaIVkhWOFaIVuBW+FcQV6RYnFlUWXRZXFlwWZRZmFmgWcBZnFkUWOxZ2Fr0WkBW7FKYT7hPMFAMUOBQ4E+wTSRJUESIP0g6YDb4NdQ2rDhgOhg7qD0YPlg/qEG8RMRH+EpYS6RMVEysTKBMdEygTShNbEzwS+xK8EosSXxI1EhUR/xHpEc4RsBGLEVgRIBD3EOcQ3hDHEJ8QdxBXEDwQHhAAD+cPzw+xD5IPgw99D2wPTA8vDxkO5w6UDm4Owg9WD4QO+A4fDaENmA2cDW0NOQ0sDSkNBAzYDM8MzwyvDIMMgwyjDKgMjgyaDNcM6Ax4C78LQAszC1kLYAs3CwEK4QrsCxMLHwrmCpAKfwreC2ELngt/Cz0K+wqkCiQJlAkcCNcI2AkuCawJ6gmgCP0IgAhtCJIImwh3CEkIJwgDB9cHtAelB5oHfwdPBxgG5Qa8Bp8GiQZuBk4GMAYZBgYF8gXgBdMFyAW3BaUFlAV8BVUFJgT/BOkE2wTKBLEEkARnBEIEMQQ2BEEERARGBFQEaARuBF8ERwQ5BDYEOwRFBFYEawR6BHgEYwRFBC4EJgQrBDIEMgQsBCIEGgQWBBUEEgQNBAsEFQQuBFMEeQSUBJoEjAR5BHIEeQSFBJMEqgTMBO0E+gT0BPEFCQU7BWgFbgVGBQ0E5ATTBMcEswScBIoEewRnBE8EPAQtBBgEAQPyA+oD3QPAA5wDgANsA1cDQQMxAyoDIgMPAvQC1AK1ApgCfgJoAlMCPwIrAhYCAwHyAeQB0AGyAZIBegFsAVwBQwEkAQQA5gDGAKUAhQBmAEUAIgAC/+f/z/+8/67/ov+S/33/Z/9U/0P/MP8b/wP+6/7T/rn+nv5+/l3+Pf4g/gP95f3G/an9j/13/V79RP0o/Q388vzX/Lf8kfxo/D38EPvk+7j7jfth+zX7CPrb+qv6d/pC+g352fmn+Xb5Sfkc+O34vfiQ+Gf4O/gJ99P3nvdt90H3GPbv9sX2mfZs9j32DPXa9av1gPVT9SD06vS79JX0d/Ra9Dn0EPPi87LzhfNc8zPzCfLe8rbykfJt8kjyI/IB8eHxxfGs8ZTxevFc8TzxHPD+8OHwxfCr8JTwgPBw8GHwU/BD8DLwIfAT8ArwAe/17+zv6+/t7+zv5O/b79nv3+/p7/Lv+/AE8A/wHvAx8EXwV/Br8ITwofC98Nfw7/EH8SDxPfFi8Yvxr/HN8evyEPI68mfylvLI8vfzI/NP833zq/PT8/z0LPRh9JL0vPTo9R/1WvWQ9cH18vYk9lD2efam9tz3GfdT94j3uvft+CL4V/iM+L/48fkj+Vj5jfnC+fT6JvpW+oL6rfra+wr7N/ta+3b7kvuy+9H77vwL/Cn8Q/xb/HX8lfy4/Nn8+f0a/Tv9Xf2D/av9z/3t/gv+MP5Z/n3+n/7E/ur/Cf8i/0T/cv+g/8T/4///ABYAJgA4AFYAeQCYALIAxwDSAMsAtACQAFL/9f+X/2L/X/91/53/8gCOAVQCBgJ/AssDCQNHA3YDhgN1A1ADHgLWAnMCCAGzAXkBRAEKANkAwQCvAIsAXgA4ABr/8//I/6j/kP9n/yv+8f7D/pL+Vv4e/fD9r/1L/N38jPxY/Cr7+/vT+7j7wfwn/P794P4x/bf83vws+7/7Yfr4+pn6Q/nP+Tb4rPhr+HL4m/jI+Ov4+fjr+Mf4lfhJ99H3Ofat9lT2OfZG9lv2U/YX9av1JfSk9EH0EPQY9EP0ZfRh9Dn0APO2807yx/I38a7xJfCX8Bjvx++a71fu0O4g7ZPtXe1x7aft6O4y7nTuiO5b7gLtpe1k7UjtSe1W7Wbtee2X7b/t5u4B7g/uG+4p7jPuNu437jzuRe5O7lfuZO567pfusu7K7uXvBe8n70TvXu9675vvwe/o8BHwOvBi8IvwuvDy8S7xbfGv8fbyRfKg8wTzaPPH9Cf0kvT79Uz1g/W49gD2UfaS9r726vcf91f3jffD9/r4JvhJ+G/4oPjU+QD5J/lR+X35qfnW+gj6Pvpz+qn65Psg+1f7ifu8++78H/xS/Iz8xvz2/SD9T/2G/bz98P4m/mD+lv7I/v3/OP9z/6j/3gAYAFEAhQC7APcBMwFmAZgB0gIRAkoCegKqAt8DFQNHA3gDqQPZBAgEOARpBJkEyQT2BSAFRwVsBZAFrQXCBdUF6gX/Bg8GHAYtBj4GTAZbBncGnQa9BtcG9QcbBz8HXQeEB7AHzAfUB/UIYwkVCdAKWgqrCtcK8QsBCxILJQszC0ALXAuTC9kMGQxDDFcMZQyHDNYNRA2gDcENrg2MDWgNOQz9DMsMsgylDJMMewxoDFgMRgwyDB0MAAvVC6ALbwtJCzALKQs5C1YLcAt8C3gLaAtKCyIK+graCroKlApnCjwKHAoLCgYKAgnyCdMJrgmNCXAJVAk8CSUJFQj/COYIzAiyCJgIiQiXCMII8QkBCOoIxAimCJEIdQhNCC4IMQhTCHsIlQihCKoIswi4CL0IwQjDCLwIsAioCKcIqQipCKYImgiECGEINQgHB9cHqweGB2cHSQcrBxAG8gbHBpIGYwZGBi0GBAXMBZUFZAUxBPwEzwSwBJMEbwRHBCMD/APJA48DWAMnAvMCvAKKAmUCSQIrAgQB1QGoAYYBcAFhAU8BPQEtASMBHAETAQUA8gDeAMsAuwCqAJYAfQBeADkAEP/t/9T/v/+k/4D/Wf8w/wb+4/7P/sj+xf7E/sv+4f79/xj/Lf86/zb/H/76/tX+sf6P/nH+VP42/hj+A/39/f/+A/4T/j7+e/6j/pn+YP4V/dr9yv3v/jn+hf60/r7+p/5x/iD9xP17/Vf9WP1p/XH9Xf0k/NX8g/xB/A776PvK+7P7n/uM+337cvtb+yX6yPpb+fj5pPlS+Pj4o/ho+Ef4LPgL9+T3tPdy9yH21fai9oL2ZPY/9hP12/WU9U71LfU49U71SPUX9L70Q/Oq8wPyWfGt8PnwT+/K727vIe7M7nLuIe3h7bftou2Y7YXtae1Y7V/tYe1E7RrtCe0E7MrsR+vD65/r1+wG69frWOrR6mrqFem56Vfo/eip6FLn9uef51XnE+bM5njmHeXG5XflJ+TT5H3kLOPf443jM+Lb4oriPeHv4aDhVeEJ4LvgbOAf39Lff98u3ujerd5v3iTd0d2A3TzdBdza3Ljcn9yQ3Izcg9xo3EDcHdwE29/bodta2yPa/drZ2r7ax9sA20zbhNum28fb7twE2/PbvNt520HbHtsQ2xjbPdt427Lb09ve2+Dbztt62s/aAdlx2VLZh9nS2hTaV9qh2u3bOduH29jcKNx33MrdIN1s3aTdzt383kXes989383gT+DE4TjhreIi4p/jL+PO5GXk5+Vf5dbmQuac5uvnNOdh513nNOcb5z/nnuf+6Bbnzudt53XoM+lq6o3rS+vE7Drsuu0t7Yrt4O477qLvJ+/W8JfxQPHA8inyhfLR8xfzbfPV9DH0bvSi9OX1MfVv9aH13/Yq9nL2tfcE92n30/gy+JH4+fli+bn5/Po4+nj6vPsE+1j7ufwk/Jb9Df2G/fr+Zf7N/zb/nwAFAGsA2wFVAc0CNQKJAtADFQNgA7EEBARWBKkFCQV3BeoGVga9ByYHkQf1CFMIugk5CdQKfgseC5QL0gv5DEkM4g2gDkMOsw8JD1oPng/MD/UQOxCtEUYR8hKYEyUTlxP6FFYUpBTiFRgVQRVSFU4VVhWFFdsWThbYF2UXwRfXF+AYJxiiGQEZNBmGGfUZzBhHFasTTxJqEwQUMxUlFa8WChZXFosWnhaeFpUWgxZqFlQWSRZBFjAWFxYDFf4V+xXxFeUV5BXoFd8VyxXFFdYV5hXoFfgWMxaCFqsWpBaUFpkWoxafFpwWoRaTFnEWcxa+Fv8WphWYFGcTuROkE8wT5RPeE6cTFhIhEP0P+A88DtkOzQ8ED1QPow/5EGcQ7BF9EhwSxxNdE7gT0xPQE8sTwxO2E6oToxOSE2kTMBL4EsMShxJCEgYR5BHWEccRqBF7EUsRJBELEQAQ9xDiELkQhxBgEEkQPBAsEBYP+w/dD8IPsw+nD4wPYw9IDz8PHg7ODpMOxw9MD4MPCg5BDc4N0w3lDbwNhQ11DW4NPg0BDPkNIg1ADTQNFgzzDLoMegxiDH0Mggw1C7ILVAtEC2ELcwtfCyYK3gqrCqAKogqOCnMKhQrRCxoLIQruCrUKhwpOCfcJjgkmCNcIzgkuCcUKGQnaCTwIugiVCKEInwiGCG0IVQgyCAgH6wfdB84HrgeBB00HFwbmBsUGsAaYBnUGUwY4BiEGCwX+BfgF7gXVBbUFmwWBBVwFMAUOBP4E8wTiBMkEqwSIBGcEUwRRBFEESQRCBEkEWARfBFUEQgQ0BDAEMwQ6BEcEVwRmBGsEYQRMBDkELgQnBB0EFQQYBCQELQQkBA8D/gQABBgEPwRxBKcE1wTtBOAEuwSbBJIEmQSiBKoEvATYBOsE5wTZBNwE/gU2BWcFbwVMBRoFBQURBR4FCwTeBLcEpQSZBIUEagRQBDYEHQQJA/kD4QO+A58DlgObA5YDfANZAz4DLAMcAwkC8gLXArsCngKFAm4CWgJHAjQCIQIPAf8B6wHQAbIBmwGLAXoBYAFCAScBDgDzANYAtgCTAGsARQAmAA3/9f/e/8z/vf+u/5v/hv90/2L/T/84/yL/C/7z/tv+wP6j/oT+Zf5I/in+Cf3q/c39sv2X/Xv9X/1B/SP9Bfzp/Mv8qPx//FT8J/v8+9H7p/t9+1L7Jfr1+sD6ifpU+iH58PnC+Zb5avk7+Qb40/in+IH4W/gv9/73yveW92X3N/cM9uH2tvaL9l72LPX39cT1lvVp9Tj1BfTZ9Lb0mfR89Fv0NvQL897zs/OK82DzNPMJ8uHyu/KU8m/yS/Iq8gzx8PHW8b7xpPGG8WfxR/Ep8Qvw8PDX8MHwrvCc8IzwffBu8F3wS/A88DHwJfAY8A3wC/AO8AzwBO/77/rwAPAJ8BLwGvAj8C7wPfBQ8GTwePCN8KfwwvDc8PTxD/Es8UfxZfGJ8bHx1PHv8gvyL/JY8oHyq/LY8wjzOPNo85fzwPPi9Ab0NfRs9J70xPTp9Rb1S/WA9bT17vYq9l/2jfa49ur3I/dd95X3yPf3+Cf4WviP+MT49vko+Vn5i/m++fD6IfpP+nv6o/rM+vX7G/s7+1n7efuc+7373Pv6/Br8OvxY/HX8kvyx/NP89/0c/T/9YP2D/aj9zP3s/g3+Mv5X/nr+nv7G/uz/C/8m/0b/bP+Q/7D/1gAAACIANwBLAGgAhACVAKAAtQDSAPABDQEiARwA4QB5AAz/vv+f/7kAHwDQAaMCXALSAw0DKgNIA2wDiQONA3gDTQMNArUCTQHyAbEBgQFQARwA5QCrAHAAQAAb/+7/sP91/1b/SP8v/wb+4P7A/pP+Vv4f/fD9sv1a/QL8xvyj/JP8mPyf/In8fv0A/lwAAQDdAGn/KP34/Sn8e/u6+wL6cPn1+YT5OPkq+UT5Yvl6+Y/5k/l1+UH5Bfi1+DP3jvcE9sb2zvbq9uv2t/ZR9dL1V/Tx9J30VvQp9CL0N/RI9D70EPO/80jys/IU8Xvw7vBw8A/v1e+s72Lu3e5E7dvtyO317jXucO6h7r/utu6A7i/t3u2g7Xztce127YHtlO2x7dnt/+4Y7iXuMe4+7kbuRu5D7kbuTu5U7lfuXe5u7onupe6/7tru+u8f70HvYe+C76Tvx+/u8BvwSvB28J7wyfD78S/xZPGc8dryHvJr8sXzKvOR8/n0Y/TG9RH1RPV29bz2DfZV9o32xPcC9z73d/ey9+v4Gvg8+GL4lfjL+Pj5H/lK+Xj5o/nO+f76Mfpk+pr62PsY+1H7g/u0++X8FfxG/H/8u/zw/R/9Uv2J/bz96/4f/lv+lP7G/vn/Mv9q/53/0AAIAEAAdACpAOMBHgFUAYcBvgH4Ai0CXgKQAsMC9gMnA1cDhwO1A+IEEQRCBHIEnwTLBPUFHwVIBXEFlAWvBcoF5wYABg8GFgYfBisGNQZCBloGeQaXBrIG1Ab8ByMHSQd0B5sHqQenB8oIPgjyCakKOAqcCtsK+gsDCw0LIAs0C0MLXQuRC9gMIQxdDIEMjgycDNINNQ2aDcoNug2JDVQNHQzhDK0MkAyDDHoMbgxiDFYMRww5DCgMCgvcC6YLcgtHCykLHAslCzsLUAtfC2gLZAtKCx8K8grLCqcKgApVCi0KDQn6CfIJ7QngCcUJogmBCWQJSwk2CSAJCwjwCNEItQifCJUIogjKCP8JJAkiCQEI3QjKCMQItwidCIcIiAigCLoIxgjDCLwItwi7CMwI5gj4CPQI4AjTCNYI4QjjCNYIvgidCHQIRQgTB9wHqAd+B2EHTgc/By0HEwbpBrUGiQZtBlMGJgXlBZ8FYQUrBPkEzgSoBH0ESwQaA/IDzgOlA3QDPwMGAsgCjAJZAjACDQHpAcABkwFmAUMBLgEiARcBBgDzAOIA1QDOAMcAuQClAJEAgQBxAFoAOwAdAAT/7v/Z/8L/qf+Q/3v/Z/9G/xL+2P6u/pr+jv5//nb+fP6R/q/+0v7z/wD+7f7E/pf+c/5Y/kD+JP3+/dP9t/23/cz95v4J/kX+k/7P/tP+lv40/dn9sv3Z/jn+lv64/p7+bf5B/g/9xf1r/SH8+/z6/Qf9Cfzt/LD8Yfwa++j7yvuy+5b7ePtd+0n7NfsT+tf6f/oa+br5YvkH+Kj4Vvgj+Az3/Pfo98v3m/dM9uT2ivZd9lX2UPZA9if2AvXH9X71RPUp9Rn0+PS59F7z4/NJ8qLyAPFa8Kjv9e9j7v3ur+5k7hzt3+2w7ZLtg+107UjtAezG7Lzs1Ozl7OLs1+y+7H3sHeve6/DsKuww69brR+rF6mLqCemp6Ufo7OiT6Dbn1+eA5zPm7Oah5k/l9+Wi5VTlB+S15GDkDuPA427jFeK64mXiFeHI4XzhMODh4I7gPN/v36DfTd793rfefN4+3fPdod1S3Q/c2tyw3IzcbdxW3EvcQ9wx3BTb99ve27nbgNtC2xDa59q32oragNqp2vTbRtuW29zb/tvh24/bOtsO2wnbDNsA2vDa99sg21fbgduW26DblttT2r7aAdlz2UnZdNm82f7aPNp+2sbbFNto27/cEtxf3K3dAN1P3ZDdwd3u3izekN8b37TgP+C64S/hpuIe4p7jMuPU5Gvk7uVr5enmWOas5vTnPOdu527nSuc752rnx+gV6BbnuudD5y/n2OkV6lrrQOvT7FXs4O1X7a/t++5W7sjvWfAL8MXxZ/Hm8lPyt/MH80jzk/P19FX0nPTX9Rv1Y/Wf9dH2D/Zb9qb27Pc+96L4Cvhr+Mz5NPma+e/6M/py+rP69fs7+4z76vxT/Mj9Rv3F/jb+lv7w/1D/tQAXAHgA4wFfAeQCYALHAxkDYAOoA/cESgScBPEFUgXCBjYGowcKB3UH4QhBCJYI+wmHCjEK1gtaC7YL+gxDDKkNMg3IDkwOsw8HD1QPnQ/jEC8QjhEKEaASRxLnE2wT3BRGFK4U/BUnFUEVWxVrFWIVUhVpFcQWWRcIF54X8RgFGBgYaRjfGTcZbRnSGmwajBlXFtMUKRK0EtwT+BUbFdYWPBaBFrUW0xbbFtQWwhapFpEWgxZ6FmkWThY6FjUWNBYoFhkWFRYZFhEWAhYDFhMWHRYeFjwWihbYFukWxBapFrAWuRawFqsWtxa0FpkWoRbuFx4WnxV0FFET3RQGFEkUWhRGFAwTfBKREZ8RCRDhEPkRIxFREXkRmhHGEhISeRLmE1ITwxQxFHoUixR3FF0URRQiE/QTyxOrE4gTVhMcEucSsxJ4EjYR/RHWEbQRihFfEUERLxEeEQsQ/RDuEM8QnBBsEFQQTBBEEDMQHhAID/AP2w/ID6sPhQ9sD2UPSw8BDrgOyA8pD1wPBw5tDhYOHw4oDfgNug2kDZYNXA0WDRMNXw2tDbgNfw0kDMAMawxCDEgMUgwzC+8LrguNC4cLiAt3C0cK/Qq4CpMKiAqECogKoQq9CrYKgAo/ChcKAAnhCbAJdQkvCOgI0QkZCZ0J9AnXCW0JDQjcCL4InwiLCIkIfwheCDQIGQgHB+0HyweqB4cHVgcgBvkG4wbIBqEGdwZYBkEGLwYnBiUGFwXwBcEFnwWKBW8FTAUtBRkFBgTtBNMEvASlBIwEeARtBGYEXARSBE8EUgRTBEsEPQQtBCEEHQQiBCwEOARFBFAEUARFBDkEMAQlBBIEBAQMBCcEOwQzBBgEBAQMBC0EWwSUBNIFCAUeBQgE2ASyBKoEtQTABMsE4AT2BPsE6gTZBOEFCAU+BWoFcQVLBRUFBQUpBVgFWAUnBPIE1gTJBK8EhgRcBDwEJgQcBBQD/gPaA70DvgPUA9wDxAOXA20DUAM9Ay0DGwMEAucCxwKpAo8CewJqAloCRgIxAhwCBwHvAdYBwQGwAZsBggFnAU4BNwEdAQEA4gC+AJYAcQBTADoAHwAC/+z/3P/N/7r/pv+T/4H/a/9V/z//Kv8S/vr+4v7J/q7+kf5y/lD+Lv4O/fD90/22/Zf9ef1a/Tr9G/z9/OD8v/yX/Gz8QPwV++z7w/uZ+277QPsM+tT6m/pm+jb6Cfnf+br5k/lk+Sz48/jC+Jr4c/hL+CD38Pe794T3Ufci9vb2zfal9n32T/Yc9en1ufWJ9Vj1KPT+9Nv0u/Sa9Hj0VfQu9ATz2/Oz84nzX/M18w3y5fK98pbydPJV8jXyGPH98eTxyPGp8YvxbfFQ8TPxGPEB8Ozw2fDH8LfwqPCZ8Ijwd/Bn8FnwTPA/8DTwL/Au8CzwJvAh8CHwJvAs8DHwN/A/8ErwWvBu8ITwm/Cx8Mrw4/D58RHxLvFO8W3xi/Gt8dPx9fIR8i7yUfJ28pryv/Lq8xrzSvN586jz1PP69CH0UfSI9Lv03/T+9R/1SPV29az16fYq9mX2lvbB9u/3Ivda95P3x/f3+Cf4WviP+MP49fkk+VL5gPmv+eD6EPo/+mz6lvq++uP7Bvsl+0T7ZfuI+6v7zfvu/BD8M/xV/HL8jfyp/Mz89P0d/UP9Y/2D/ab9y/3x/hf+O/5c/nr+nP7B/uX/Bf8n/03/cP+L/6P/xP/uABMALwBOAHAAigCTAJYApwDHAOsBEgE/AWYBaAEzANIAYwAO//0AUAEDAeUCsQMyA2MDZANlA4EDpwO3A6IDcwM3Au0ClQI/AfsBxwGWAV4BFgDAAGoAJf/y/7f/bv8t/w7/CP8A/vD+4P7K/pz+Xf4k/fb9u/1z/Tf9EPz2/PH9Ev0z/Rb85P1W/uYA9wI2Ae4Aqv9i/mv9dfxU+0T6ifoe+eX52fny+hD6FfoN+gr5/PnP+ZX5Zvkt+MH4Kve296H31vgD9+f3dvbM9hX1ePUC9Kj0YPQx9C70SPRY9Dbz3vNg8svyKPGC8OnwafAI78nvo+977zTuy+5l7jHuQe6B7svvBu8l7yHu+O607mjuIe3p7cHtre2o7a3tu+3U7ffuGu417kbuUu5b7l7uWu5U7lHuVO5b7l7uYe5r7n/ume607tDu8O8S7zXvWe9+76DvwO/k8BTwS/B/8LDw4/Eb8VHxgvG08eryIvJg8qvzBvNq8870MfSM9NP1BfU19Xb1wvYJ9kn2jPbW9yH3aPev9/L4J/hQ+Hv4r/jg+Qb5K/lY+Yv5ufnl+hT6RPpy+qL62/sY+1D7gvuz++T8EvxC/Hn8t/zx/Sf9YP2b/dD9//4z/m/+qv7e/xD/Rf95/6n/2QANAEMAdgCqAOEBGgFRAYUBuQHsAh4CTwKEArgC5wMUA0MDcgOeA8kD+AQpBFYEfwSoBNME/QUoBVUFfwWlBcYF5QX9BggGCwYPBhYGHgYqBj4GWAZxBosGrAbVBv8HKQdVB3YHfweFB7wIPgjvCZkKJgqYCuoLDwsPCw0LHws9C1sLeQujC9sMHQxhDJMMoQyaDK4M+g1dDZsNmQ1wDT4NCAzODJgMdwxqDGcMZgxiDFsMUAxDDDAMEgvkC68LewtNCykLFQsRCxgLIwszC0QLSQs0CwoK3Aq1CpIKcApMCikKCgnzCeYJ3wnRCbYJlAl1CVwJRgkyCRoI+gjXCLYIngiVCKIIyQkECToJUwlHCSQJAwjzCO0I5AjTCMUIyAjaCOsI6wjdCM4IxwjNCOMJBAkcCR0JDQkECQ8JHgkeCQcI4wi7CJEIYQgnB+UHpAd0B1oHUAdKBz4HLAcNBuIGswaJBmAGKgXiBZUFUgUdBPIEywSdBGQEJAPpA7wDmQN4A1ADHwLkAqECYgItAf0BzwGhAXQBSQEfAPsA4wDVAMgAtACbAIMAdABxAHUAcQBgAEwAQAA4ACgAC//t/9n/zf/A/6n/if9r/1r/U/8//xD+0v6e/n/+Zf5G/ir+Iv4w/k7+df6c/rD+pf6B/lb+NP4c/gv99v3N/ZX9af1o/Y79wf31/jb+if7P/uH+r/5I/dj9mv20/hf+df6H/kz+BP3e/dD9rf1j/Qb8uPyS/Jb8sfy+/Jz8Tfv4+8H7p/uR+237RPsl+xP7Afrd+qH6TPnq+Yf5KPjI+Gr4H/fw99b3wfer95L3afcY9qv2T/Yo9if2JfYU9gT19fXR9Yv1N/Tt9K30bPQm89jzdPLx8l3xx/El8Gjvoe797pXuVe4g7eftrO117UvtOO0s7QLssexl7Fbsh+zI7Ovs4eyy7GzsMOwm7EzsZuw1673rNOrD6mPqAemd6UDo6OiK6CXnw+dq5xfmxuZ15iPlzuV65Svk4OST5EPj8uOh407i9OKZ4kHh8OGj4VjhCuC34GHgDt/A33PfIt7T3o3eTt4M3cPddd0q3Obcr9yD3F3cN9wY3Afb/9v02+Lby9uw24nbVtsh2vXaydqS2l7aSdpf2pXa3ts625Hbsdt92xza29rl2xfbMdsZ2u3a2dru2x7bSttj22XbT9sO2pjaBNmL2VnZbdmm2ebaJNpk2qja9dtK26Hb8dw83Irc3d0x3X3du93t3iXeft8D35/gMOCu4SThn+Id4qLjN+PY5HDk+eV85gDmcebD5wfnS+d653jnWudc55nn8egn6BHnrOcq5v7ni+jE6iXrNOvn7HvtDe2G7dbuHO597v/vnfBO8QDxmvIV8oHy4/Mx827ztvQY9IL01PUS9VP1mfXW9gz2SvaV9uL3LPd/9974QPie+QD5afnR+in6cfqy+vL7NPt8+9D8LfyS/QT9hP4D/m7+w/8S/27/1QA9AKABCgGGAhECmgMNA2MDpQPlBC8EhATeBToFngYKBnsG6AdVB8oIQQimCPwJYwn2CqULPAudC98MLAyUDQgNeg3oDlUOuw8QD1cPoQ/7EGkQ4hFiEfESjxMsE7MUIBSCFNcVDxUqFUQVbRWKFXoVThVSFbsWeRc9F8MYABggGF0YyBk2GXcZohoEGqca8RoNF8kVBBMXEsMTtxUCFe4WZBakFtoXAhcPFwgW/BbrFtYWwxa3FqcWjhZ1FmkWYxZWFkgWRBZGFkEWOhZEFloWZBZnFo0W2BcOFvsWvhaiFrQWwha4FroW1hbhFsoWzhcPFyoWlBVlFGwUUhTkFXcVqRWOFToUlhOyEu0SnxK/EvwTIhMwEzITLxM4E14TmhPTFAsUXBTFFRgVLRULFNsUqxRsFCMT6hPNE7ATdRMsEv4S8RLdEp4SQBHmEaURdxFbEVARSRExEQsQ8hDrEOEQwRCXEHwQbRBbEEYQNRAnEBAP8g/aD8kPtw+nD50Pgg8+DvMO5g8eD0YPFQ6xDnUOcw5oDiwN6w3NDbQNcQ0nDSUNfA3hDf4NwA1ODNcMewxTDF8MggyUDHsMPwv6C8ULpAuIC1kLGQrcCrUKpgqqCsIK3ArTCo4KKQncCb0JtQmkCY0JdglYCTMJJwlWCaYJ0wm+CYgJWwkxCPUIuAicCJ8ImQh2CE0INAggCAAH3gfLB7cHjQdVBy0HFwb9BtAGowaDBm0GXAZSBkoGMgYABcoFrAWkBZgFfAVXBTQFEQTwBNYExgS5BKgElgSJBIEEewR1BG0EYgRXBEwEPgQpBBEEBAQHBBAEGwQoBDcEPAQ2BC0EKQQgBAsD+AP8BBgEMwQ5BDEEMQQ+BFEEZwSIBLkE7AUGBPcEzgSuBKoEuATIBNsE9wUPBREE/wTyBP8FIgVRBX4FjgVpBSIE9gUQBVAFbwVTBSEE/wTpBMoEnQRuBEgEMQQrBC0EJAQGA+YD4QP1BAMD9APOA6MDfwNjA04DPQMpAw8C8gLVAroCowKRAoECbgJVAj0CJgIRAfwB6gHYAcIBqAGOAXYBXAE/ASIBBQDmAMUAowCGAGsASwAqABD//v/u/9v/yP+1/6D/if9z/17/Sf8y/xr/A/7s/tP+uP6Z/nj+VP4x/hH98/3V/bb9lv12/VT9Mv0U/Pb81vyu/IT8Wvwz/Av74fu1+4j7WPsh+uj6sPp++k/6JPn++d35uvmN+VX5G/jm+Lb4i/hh+Dj4C/fW9573aPc39wr24fa79pf2cPZF9hb15fWy9X71UPUp9QX03/S59Jb0c/RN9CTz/fPX86/zh/Nh8zvzE/Lp8sLyofKB8l/yPvIi8gjx6/HL8a3xkvF28VnxPfEn8RPxAvDx8ODw0PDB8LLwofCQ8ILwdfBq8F7wVfBQ8E3wSfBH8EnwTvBS8FXwWvBi8GzwevCO8KXwvvDV8OzxA/EZ8TDxTPFt8YzxqfHI8eryC/Ir8kzyb/KS8rLy1vMC8zHzXvOK87nz7PQd9Ez0f/S39Ov1FPUy9Uz1afWO9b/19/Yx9mf2lvbC9u33HPdQ94f3vvfy+CX4WfiO+MH48Pkd+Uj5c/mf+c35/Por+lj6hfqv+tf6/Pse+z37Wvt6+577xPvn/Aj8KfxK/Gj8g/yj/Mj88v0c/UP9Zv2I/ar9z/32/hz+Pv5d/n3+n/7B/t7++v8c/0X/a/+K/6P/wP/g//4AGgA7AGAAewCHAJMArADPAO0BCAErAVsBhwGVAXIBHACxAGkAfwEKAecCzQNzA7cDswOmA70D7gQPBAIDzAN/AycCzQJ/AkQCEwHeAZwBSADjAHoAIv/c/5j/UP8Y/wP/Bv8M/w3/CP7w/rr+df46/gn91f2o/ZP9if1w/Vv9cv2U/W/9Gf1P/p8AhAHJAccA7wAA/xr97fx8+z76jvpT+k76ZPqL+qL6l/qB+nb6Zvo5+f351Pmt+Vz45/iW+KL45/kI+MT4IPdG9mj1pvUO9KH0XPRF9Fj0dvRq9BTze/K+8frxOPCE7+3vhu9S70fvSO887xPu2O6k7pLure7v70Hvh++l743vSu7z7qHuXu4t7grt8u3j7dvt3u3x7hHuN+5Z7nDueO527nHuau5g7lfuVO5Z7mPua+5y7n7uku6s7sru6u8K7yrvTu9075nvuu/e8A3wRPB58K7w6PEn8WLxlvHI8fzyMPJk8qLy7/NG85/z9vRM9Jf01PUN9U71l/Xd9iH2bfbE9x/3effP+B34WfiL+MD4+Pkk+UL5YPmO+cX59voj+lP6g/qr+tL7APs1+2j7mfvN/AD8L/xc/JH8zv0J/UL9fv29/ff+KP5Z/pH+y/8A/zH/Zf+Z/8n/+AAqAF4AjwC/APMBKAFcAY4BwAHvAh4CUQKJAr0C6gMUA0IDcAOaA8MD8QQfBEYEaQSOBLgE4QUKBTgFaQWWBboF2AXvBfwGAgYFBggGDAYTBiIGOQZSBm4GkAa6BuQHDwc2B1EHXwd8B9AIYQkHCZoKGQqRCvQLIwsiCxcLJgtPC38LqgvMC+0MGwxbDJYMrAycDJYMwQ0ODUsNWg1HDScM/gzLDJsMegxrDGUMYwxjDGMMXgxTDD8MIAv1C8ULkwtiCzkLGwsKCwILAQsKCxkLHAsJCuUKwAqiCogKbgpSCjUKFwn7CecJ1wnBCaEJfwlmCVUJRgkzCRUI6Ai9CJ0IjwiXCLgI8AkwCWMJdAlmCUgJLQkcCRAJAgjxCOUI6Qj4CQQJAgj9CQYJHAkxCT0JRAlHCUAJNgk0CUIJUAlLCS0JAgjVCKgIcQguB+MHnAdtB1kHUgdHBzgHKAcVBvMGvwaFBksGDwXKBYIFQgUSBOwExQSSBFEECgPHA5MDagNFAx0C6wKwAnECOQIIAdYBnwFoATYBCgDgALoAmgB/AGcATwA1AB4AEwAZACoAMAAjABAACQAMAAb/7f/L/7L/pf+b/4b/Yv88/yb/H/8U/vH+vf6P/m7+S/4e/fT94f3n/f7+Hf49/lD+TP43/hn9+f3d/cz9vv2d/WD9Jv0a/UL9gP3B/gv+Y/6w/s3+qv5V/e/9qv2w/fz+R/5J/f79o/1y/Wr9ZP1C/QH8tPx7/HP8mfy8/KT8R/vY+4/7cPtZ+zH7A/rn+t761/rA+o76Rfnp+YT5Hvi9+Gb4I/f299D3pvd891r3Mvbr9oz2QvYn9ib2FPXw9dj10fW59XX1EvSs9E/z+/Ov82fzD/Kb8hTxhvDg8BLvNe6E7h7t7+3N7aDtZ+0p7PTs2OzM7K3sbews7CPsXeyu7ODs2+yr7HDsUOxc7HXsZOwR65nrKerK6mnp/umX6T/o6eiG6Bvnt+db5wLmqOZR5f3lp+VQ5P7ks+Rr5CDj0eN/4yni0eJ44iHhzuGA4TPg4uCM4DXf4t+V30re/9623nDeKt3i3ZrdU90L3MXch9xV3CrcAdvd28fbvdu226zbnduE21zbKtr72tHaoNpm2jPaHtom2kHacdrA2xbbOdsO2sXasdrp2zPbSNsf2ufazNrZ2v3bI9s22yvbAtrA2mraCNmt2XLZatmQ2dDaFdpV2pTa29st24Hb0Nwb3GrcwN0Z3W/du9333i/egd7/35jgLOCq4SDhneIf4qXjNuPU5HDlAeWP5hnmjebg5yTnYueF53nnYud658roHOg46BDnq+cv5vXnZ+iS6gXrNuwF7KvtR+3A7gruS+6y70Tv6vCV8Tzx0fJO8rjzFfNf85zz6PRR9MH1F/VT9ZD11/Yc9lj2lfbb9yb3c/fG+CH4ffjX+Tb5oPoK+mb6s/r1+zb7fPvL/CL8ffze/Uz9xv49/p7+7f87/5cAAQBuANgBRgHDAlEC3ANOA50D2AQUBF4EuAUaBX4F5AZOBrwHKwehCCIIpAkTCW4J0gpgCwQLiwvZDBIMawznDWANvw4TDnEO1A8lD2cPsRAcEKQRNBG/EkkS1hNiE9oUOBR8FK0U0hT/FUYVmRXAFZYVSRVGFdAWuBeCF+YYBxg4GKIZIBlzGYcZjRnRGl8axhpIGH0V3BOcEs4ThBTgFfUWfhbCFwIXNBdAFzYXLxcqFxkXABbwFuMWzBauFpoWkRaJFoAWfRZ9FngWdRaFFqAWrRa0FtYXEhcvFwcWyha9Ft0W7xblFuwXEBcgFwcXBBc6F0UWoxV/FLUU6RXZFsAXIxcMFqIV8hUgFH8UQxROFFwUTxQ0FBYT+RPuFAYUMhRZFIEUyhUyFYMVjRVfFSUU7hSmFFQUGxQCE98TkxNFEzQTXRNpExcSgBH0EaQRhBF4EXIRZBFCERMQ9RD0EPwQ8xDdEMUQqhCEEF4QSBA8ECYQBQ/tD+oP7w/sD+APwg+JD0kPLQ9AD1IPNA71DsoOvA6hDmgOLQ4HDd4Nlg1NDUQNjg3zDiQN/Q2TDRUMsgyMDKkM6Q0UDP4Mpgw6C+cLuguWC2ALHQrlCsIKtgrBCuYLCAr2Cp8KKQnUCbEJpgmYCYsJiwmYCasJywn1CgkJ6gmrCX0JbglXCRsI0wiuCKgImwh1CFAIPQgsCA8H8wflB9UHrAd3B1UHRQcsBwAG0wa1Bp4GhgZvBloGOAYDBdEFvQXEBcYFrgWABUwFHQT5BOAE0QTEBLYEqgShBJwEmgSYBJAEfgRpBFoESgQvBBAD/gP8BAIEBwQTBCQELAQlBBwEGwQWBAMD6wPnA/sEFwQwBEsEagSABH4EbgRrBIQErwTOBM4EtwSlBKUEsgTBBNUE8gULBRAFBgUDBREFKwVSBYoFugWxBWQFDgT4BSQFVAVXBTcFFQT6BOAExgSpBIQEWwRBBD8EQAQsBAoD9AP2BAAD/APkA8EDmQN0A1kDRwM4AycDFAMAAugCzgK3AqQCkQJ5Al8CRwIzAiECEQH/AeoB0AG1AZsBgAFhAUMBKQERAPUA1wC6AJoAeABXADsAJgAR//3/6v/X/8L/qv+T/3//av9T/zz/Jf8O/vX+2v6+/p/+fP5X/jT+Ff34/dn9uP2U/W/9S/0q/Qz86vzE/Jv8dfxQ/Cr8APvU+6X7cfs5+wL6zvqe+nD6RPod+fz52vmv+Xr5Q/kP+Nz4qvh6+E74Iffv97n3hfdT9yP29/bR9q/2jvZo9j72D/Xa9ab1efVU9TD1B/Tf9Lr0lfRt9ET0H/P789bzr/OK82jzQfMY8vLy0fKw8ovyZ/JK8i/yEvHy8dTxufGd8X/xY/FN8TzxK/Ea8Qjw9/Do8Nrwy/C58KnwnfCT8IjwfPB18HHwbvBs8G/wdPB58H3wg/CM8Jfwo/Cz8Mjw3vDz8QnxIPE48VDxa/GJ8ajxw/He8fzyHPI+8mLyhvKp8sry8PMd80zzd/Oe88v0AfQ69HD0o/TY9Q/1QfVo9YP1nPW89ef2FvZD9m72mvbH9vP3H/dP94X3vPfx+Cb4XPiS+MP48fkb+UT5bPmX+cX58vod+kn6dvqi+sz69vsc+zz7WPt1+5n7wPvk/AP8IPw+/Fz8fPyh/Mn88f0X/T79Zv2N/bH91P33/hj+N/5X/nz+o/7D/tz+9P8R/zX/W/+A/6P/wv/d//YAEAAuAEsAYQByAIkArADUAPYBEAEoAUoBegGvAcsBrwFYAPIAwwEFAb0CrgN/A+8EAQP1BAsESwSRBK4EigQnA54DGgLAAo4CZgIsAd0BfwEXAK8AVQAL/8n/jv9s/2v/eP97/3H/Xf80/vP+qP5n/jD+Bv3//iL+Qf4s/fv96/30/cP9Vv0+/f7/TQBSAJgAW//r/yT90vxF+xz6nfqG+on6m/rJ+vr7C/sH+wH67/q7+nT6PPoS+db5iPlc+W75lfmF+Rf4YfeP9r/2APVa9Nj0iPRs9HT0cfQy86Ty2fHz8QnwLe9w7uruqu6u7tvvDu8s7y/vIe8Q7wbvEe8+74nv1O/47+LvnO9C7uvupe517lbuO+4f7gTt+e4F7iPuTe507ozuj+6C7nfuc+5u7mPuWe5Z7mbuc+577oTulO6s7sru6e8H7yXvR+9u75fvvu/k8BDwP/Bu8J7w1PES8VDxiPG/8fjyL/Ji8pny3PMm83PzwvQW9Gv0ufUC9U71mvXi9in2ePbU9zf3nff++FL4k/jN+Qv5Sfl0+Yz5qPnX+g/6Qfpu+p/6z/r3+xn7Qftv+577zvwD/Dj8aPyU/Mb9AP04/Wv9ov3h/hz+Tf56/q3+4/8W/0n/ff+y/+YAGABKAHwAqwDaAQsBOwFqAZkByAH2AiMCVwKPAsMC7wMbA0oDeQOhA8kD9AQeBD4EWQR6BKEEyATuBRsFTgV9BaEFwAXeBfkGCQYPBg0GCQYIBhIGKQZIBmoGkQa9BuwHGAc6B08HYweUB/0IkAkjCZsKBwp7CuYLJgsyCy0LPgtvC60L4wwBDA4MJwxeDKAMwQyyDJYMmgzBDO8NCg0TDQ0M9wzVDLUMngyNDHwMcAxvDHcMfQx3DGIMQAwWC+YLtAuBC1MLLwsVCwIK9wr3CvsK9grgCsEKpwqWCogKdgpgCkYKKAoLCfEJ1wm2CZAJcAlfCVcJTQk4CRYI3gitCJMIlAiuCNwJGAlUCX8JjAmACWgJUQk9CSwJGAkECPcI+QkECQsJEAktCXEJxAn0CekJuAmHCWgJVwlVCWAJcAlvCVUJJwjwCLMIbQgfB9EHkgduB2AHUgc3BxUG/QbuBtIGnwZhBiUF7gWyBXMFPAUSBOwEvwSFBEMD/wO8A4EDTAMaAuUCqgJsAjYCCgHhAbABdQE3AP8AzgCiAHkAUAAqAAn/8v/h/9X/0//i//sACP///+7/6f/u/+n/z/+q/4z/fv92/2b/RP8Z/vr+6f7Y/rn+kv5z/lz+Of4D/c79r/2p/bT9x/3d/ez98P3s/d79wP2Z/X39cv1e/S789Pzc/PX9Lv14/dj+RP6a/rv+p/5x/i399P3n/gv+NP4o/d39fv05/Rn9E/0Z/Rf8/vzW/MX82Pzl/LD8M/ur+1f7N/sj+wD62frE+sD6vfqu+oz6VPoF+ab5Q/jn+Jj4Xfgw9//3v/d790T3EvbQ9ob2VfZO9lD2MvX+9dn1yvWs9WD08/SG9CbzzfN58yXywvJH8bzxKPB575/uuu4H7abtfO1e7TftCezY7Kfsguxq7E/sJev/6/zsJuxh7Ivskux97GLsV+xe7FrsLevX63jrJOrQ6mrp++mX6ULo6OiA6BXnsudV5vXmluY65eHlhuUr5NXkieRE4/3jsONc4wXireJX4gLhruFd4Q7gu+Bi4Avfut9u3ybe4N6e3lneDd3A3XndNtzw3KjcZdwt2/zbz9up25Hbg9t823jbcNtd2zXbA9rU2qjac9o22gbZ9dn32f/aGtpb2rHa4trQ2qjasNrv2ybbIdrt2sDattrD2tja7dr32uXatdp92kraF9nV2ZHZbtmC2cDaCdpG2n3avtsO22Hbrtv53EzcqN0H3WTdut4B3j/ej98G35vgL+Cv4SbhouIj4qXjMOPI5GblAeWb5i7mqOcD50rngueW537nbOeZ5/foQ+hO6B7nx+dZ5xbnbOiD6frrQ+wr7OHthe3+7kDue+7m74PwL/DU8XLyBfKG8vbzVPOf8+H0NPSh9Q/1X/WU9c72GPZm9qf24vci92r3uPgO+Gr4wvkW+XL52/pH+qn6+fs9+4H7zfwh/Hf8zP0o/ZL+Bf5w/sr/Gf9s/8oANACjARQBiQILApgDHAOBA8UD+wQ8BI4E7AVQBboGJwaWBwcHfAf3CHoI/QlwCc0KKgqlCzMLrQv9DEUMrw01Da4OBQ5PDqIO9w8/D4EP0xBJEN0RghIlErMTJROAE80UChQzFFEUghThFWYV1RXmFY0VJhU2FfUXCBfWGB0YJhheGNoZUBl6GV0ZNRlEGaYaJRooGQcWvxRQEwoTaxTAFfIWkRbgFywXaBd1F2UXYBdiF1MXNRciFxgXAxbiFssWxxbHFsEWuxa4FrUWthbGFt8W7Rb2FxYXShdjF0YXGxcZFzYXPxcuFy8XShdSFz4XRhd9F3sW1RXHFScVgxaQF44YAxf0F5EW/hZfFegVpxV/FU4VFRTeFKQUaBRGFFQUgRSpFM4VDRVhFZkVlRVtFUcVIhTmFJoUYBQ6FAMTsBN/E6gT/RQFE3wSpBH5EbMRrBGoEZERcRFNESwRFxEXER8RIBEZEQsQ7RC7EIUQYxBTED8QJBATEBcQIxAlEBYP+w/TD6YPhw99D3MPVA8oDwUO7g7RDqUOdA5IDhMNzA2KDXYNpQ36DjsOOA3kDWQM9gzLDO4NMA1NDRUMmQwbC9MLvAumC24LIQriCsAKtwrFCucLBAr4CrYKXgoaCfUJ2wm7CZ4Jmwm+CgMKVAqOCoUKMQnBCXEJUgk7CQoIzwisCKAIjwhuCFEIQwg1CB8ICQf6B+QHugeNB3UHawdSBycG/gbhBsUGoAZ9BmIGQQYPBeAFzQXVBdsFxwWYBWAFLgUMBPQE3wTJBLkEswSzBLAErQSsBKYElQR/BG0EWwQ/BCAEDAQGBAID/AQCBBIEHAQWBA0EDAQKA/kD4gPZA+QD+QQbBE8EiQSoBJsEeARiBG0EkASxBL0EtgSuBK8EtQS9BMkE3QTvBPUE9AT7BQoFFgUwBXIFzQX6BcoFYQUWBRUFOwVUBUsFKwUJBPgE/AUABOEEnwRkBFIEWgRVBDQEEAQABAEEAAPwA9ADpwOCA2kDWwNNAz0DLwMiAxEC9gLaAsMCrgKXAn4CZwJUAkQCNQIlAhEB+AHdAcMBqAGLAW8BVgE/ASUBCADoAMgApgCHAGwAUwA8ACUAEf/+/+j/0P+5/6X/j/93/1//Sf8x/xb++v7g/sT+o/59/lr+Ov4c/f392v2z/Yv9Zf1D/SL8//zZ/LP8jvxp/EX8Hfvx+8H7jPtV+yL68vrF+pb6aPo/+hr59PnI+Zf5Z/k5+Qn41Pie+Gv4O/gL99r3qfd390P3FPbs9sn2qPaE9lv2LvX79cn1n/V89Vf1L/UH9OL0vPSS9Gn0RfQk8/3z1POv847za/NF8yHzAfLe8rjylPJ38lzyQPIg8gLx5fHG8ajxjfF58WjxV/FE8TDxH/ER8QXw9vDj8NDww/C68K/wo/Cc8JrwmPCW8JfwnPCi8KjwsfC88Mbw0PDc8O3w/fEO8SHxO/FX8XDxiPGj8cDx3fH38hHyL/JQ8nTymfK+8uLzCfM282XzkPO289/0EPRG9Hj0pvTX9Q71SPV79aD1vvXg9gr2NPZZ9n72qPbY9wb3Mvdg95P3xvf3+Cv4YviY+Mn49fkf+Uf5bvmZ+cb58fob+kT6b/qZ+sL66/sV+zn7WPt3+5v7wPvj/AH8Hvw6/Fj8evyj/M388v0S/Tf9Yv2O/bT91/33/hX+Mf5Q/nb+nf69/tj+8/8Q/y7/T/9y/5j/uf/V//AADgArAEAAUQBlAIAAowDKAPMBGwE7AVQBdQGoAd8B9wHSAX0BLQErAaACdANTA+cEGgQaBC4EewTyBVoFdQUbBGgDqgMoAugCuQJ1AhgBswFUAQMAxgCYAG8AVABYAHUAhwByAD3//P+0/1//Av6r/mT+Qv5h/rn/BP7//r7+iP5p/iL9pP1R/ZD+Sf8G/33/rf+B/rv9Yfv7+xj6w/qb+nH6dfrO+1D7rfvG+6z7cPsZ+rz6c/pC+hn58vnf+d75zfmF+QP4aPfM9zT2mPX69Wf09fSr9HT0KfOp8vPyGvEy8Ervd+7S7nTuYu6P7tzvKu9l74vvo++t76fvnO+k78rv+/AW8Azv4e+g71XvDO7T7q3uiu5f7jPuGu4b7jHuUu5z7onuiu587nLudu597nrubu5o7m3udu6A7ovum+6x7svu6O8H7yfvR+9t75jvw+/t8BbwQPBq8JPwwvD48TLxbPGn8eXyIfJZ8pHy0PMV813zqfP89Fb0sPUH9V31sfX/9kj2lfbq90r3svgZ+G/4svju+TD5cvmf+bj51/oJ+kT6dvqk+tX7CPs0+1r7g/uy++D8DvxC/Hf8pfzQ/QD9Nf1m/ZH9wP34/jD+Yf6N/rz+7/8j/1b/i//A//QAKABaAIoAuADnARcBRAFwAZ0BzAH5AiQCVQKKArwC6gMZA0wDfQOmA84D+QQhBD4EVQRzBJkEvwTjBQ0FPQVlBYYFqQXWBgAGHAYmBiYGIwYhBicGPAZdBoMGqwbZBwwHPAddB3AHhge+CCgIrwktCZEJ7gpYCsQLFAs8C08LawueC94MFAwuDDEMPQxuDLMM3AzODJ8Megx2DI4MswzWDOsM7AzhDNgM0QzCDKoMlgyWDKYMtAyxDJgMbQw6DAYL0QueC28LSgstCxULAwr5CvMK5wrNCq8KmQqOCoYKewppClEKNQoaCf8J4Am6CZMJdwlqCWgJXwlFCSQI4QivCJ8IswjdCRAJRwl4CZkJowmYCYMJbAlVCT8JKQkVCQgJCAkNCQ8JHQleCeEKcQq6CpUKLAnFCYUJZglaCWMJewmPCYQJVQkKCLMIWQgEB70HjAdzB2cHTwcfBugGwgasBpIGZgYxBgAF1AWhBWoFOgUUBOoEswR0BDUD+AO5A3cDNwL3ArQCbwIwAf4B1gGsAXUBNADxALQAfwBTACsAA//c/77/sf+w/7H/tv/E/9v/6//p/93/1P/P/8D/ov9//2b/XP9Z/03/L/8F/t/+wP6f/nf+Vf5H/kH+Jv3v/bH9hP1s/Wf9cP2C/ZL9nf2l/aL9hP1Q/ST9Fv0R/Pn80Py0/Lj84f0w/ar+Mf6S/rT+rf6X/nj+TP4p/iD+Iv4L/dL9if1C/Qn88P0G/Tv9X/1b/UX9Mf0E/Jn7/vt0+y77HvsX+wL66frX+sj6tfqd+n76U/oT+cP5bfkY+M34kfhg+Cf32/eH9zz2+fay9nH2UfZY9mH2SPYW9fD11/Wp9U302fRu9BPzu/Ng8vvyhfH58V/wu+/97yDuRe2g7UbtFuzt7MXspeyM7GvsQOwW6/Pr2evN69Pr6ewE7B/sOOxJ7E7sS+w/7CDr5+uh617rG+rH6l7p9OmZ6UTo5eh96BfntedS5uvmh+Yp5c3lbuUS5LvkbuQl497jkuM84uLiiuI14eDhjOE84O3gmeA/3+ffmN9O3wbew96D3j3d7t2e3VjdGNzV3I3cStwQ29rbqNuA22XbU9tH20TbQ9s12w/a3dqt2n/aRdoG2djZyNnG2cbZ2tod2n/axNrK2rPat9ra2uzaz9qf2ovamNqo2qzaq9qp2pfac9pS2kTaNtoH2bzZg9mC2bbZ+Nov2mDan9rv20Hbi9vU3Cvcj9z43Vvdtd4E3kremt8K35ngMOC34TLhreIq4qjjK+O85Fnk/eWj5kDmwuck53Lnqeez55XnhOe36BnoYOho6EToA+ek51nnk+iQ6gLrWOxT7Rftv+407m7upe8W777wcPEQ8aXyNPK58y/zlPPm9DH0i/T49WH1qfXY9g/2Wvap9uz3J/dl96r3+PhR+K/5BvlX+a76FfqG+u77RPuL+9L8Ifx1/MT9Ef1n/c/+Pf6f/vX/S/+oAAsAcwDjAVsB1wJaAuADWAOuA+cEHwRqBMYFJgWKBfgGcAbrB2QH3QhWCNAJRwmyCg8KaQrSC0gLtwwVDHYM7g10DekORA6RDtkPGQ9WD6MQChCJESER1RKSEyYTcBOFE5YTuxPpFCAUeBUEFZ8V9xXQFUsU4xUaFgcXNxgMGFQYYBiXGQAZVhlnGUAZBRjdGPsZehnxGYAXqBUgE2gTaRSjFe0WphcCF1YXmxetF50XlxeYF4cXaBdVF00XNxcTFv8XBBcIFv0W8RbyFvwXBRcSFyEXKBcxF1YXkhe7F7EXkBeFF44XiBduF14XYhdnF2wXkxfIF64XBBYgFbcWIxcLF88YIBgSF9UXgxcuFuUWphZiFhoV3BWhFVEU8BSqFJ4UuhTWFO4VGRVPFXIVcxVsFW0VYxU3FPcUtxRzFBoTzBPRFDwUqRSNE8QSvhINEeER+BH9EdURnBFvEVURSBFEEUMRRhFJEUURKxD6EMAQkhB1EF4QSxBDEEgQUBBPEEIQLBARD/MP2A+9D58Pew9XDzYPFw73DtQOqg55Dj8OAw3NDawNtA3pDisOQQ4EDYsNGgzsDQINJw0bDMEMPQvTC68Lugu6C4sLPQr8Ct0K3QrtCv0K/wruCtEKugqvCqIKegoxCd8Jrgm6CgIKZQq2CsoKkQojCa8JWQkfCOwIvgieCJAIhQh1CGIIUghBCCwIGggIB+sHxAeiB5EHhAdoB0AHHAb/BtoGrQaNBoAGbgZEBg4F6AXbBdcFxgWfBW0FQAUiBQsE7gTNBLgEtwS9BL0EtwS1BLIEpgSRBH0EaQRNBDAEHgQUBAcD9wP0A/8ECQQHBAIEAgP+A/AD4APdA+MD7wQIBD0EfASgBJgEfARsBHkElwS0BMQExAS+BL0EvwTBBMQEzwTaBOAE5gT2BQUFBAUHBT0FqQYJBg4FuwVaBS8FPwVjBW4FUwUkBQoFGgU1BSEE1QSKBHQEhgSMBG8ERgQwBC8ELwQeA/sD1QO5A64DowOMA2sDUQNDAzUDHAL+AuICywKzApsChgJ2AmcCWQJLAjkCIQIGAewB0wG5AZ4BhgFvAVUBNgEVAPQA1QC5AJ8AhgBtAFUAPwAqABL/+v/k/8//tv+b/4P/bf9V/zf/Gf78/uH+wv6g/n3+XP4+/h79+v3S/an9gv1f/Tz9GPzx/Mr8pPx//Fn8M/wJ+9j7o/tw+0L7F/rq+rz6jfpi+jn6Dvng+bL5iflh+TX5AfjI+JD4XPgs9//30Pee92j3NvcM9uj2w/ab9nD2RPYV9en1wfWe9Xn1U/Uu9Qv05fS69JH0bvRM9CPz9/PQ87DzkfNv807zLvML8ubywvKl8ozyb/JQ8jHyE/H08dbxvfGq8Zfxg/Fv8VvxSfE88TLxJPEQ8Pzw7fDi8NfwzPDH8MnwyvDI8MfwyvDP8Nbw3/Dq8PTw/fEH8RTxIPEs8T7xWfF38ZDxpPG78dnx9/IS8i3yS/Jq8ozysPLX8vzzIvNM83vzqfPR8/f0IPRL9HX0nvTJ9Pz1N/Vw9Z/1xfXt9hv2RvZr9o/2u/bt9xz3SPd296X30/f/+DD4Zfia+Mn49vkg+Un5cPma+cf58/oc+kT6bvqV+rr64fsM+zX7Wvt8+577wPvg+/78Hfw7/Fj8e/yl/M788f0Q/TX9Yv2N/bP91v34/hj+M/5Q/nH+kf6u/s3+8P8U/zP/Tf9q/4r/p//C/+IABAAiADcASwBnAIgApQDBAOgBGQFHAWcBfwGgAdAB/gINAewBrQGHAbQCPwL1A4kD0QPhA/MEQATXBYoF/AXgBT8EcgPSA3EDIwLFAlYB6gGWAWkBYwFwAX8BmAHOAg8CJwH3AZIBHgCnACX/l/8N/qb+hP68/zH/k/+h/2n/I/7e/nj97/2L/ZL9/f6Q/xP/Vv8V/i786fvU+zj64fqD+jX6VfsG++z8hvyW/Dj7rfsm+r/6fvpZ+kP6Nfop+gz5zPlq+Pr4kfgw98j3S/a49hj1gPT69Hrz6PM28nHxpvDd8Bzvdu8E7tTu3+8U71zvpu/l8BzwUfB58IPwb/BP8DrwLvAj8BfwC+/278nvhu9F7xHu4+6v7nnuVO5F7kbuT+5g7nTuf+577nTuee6G7pDuj+6J7oPugu6I7pbuqO687s/u6O8I7yrvTO9x75rvxu/w8BjwQvBs8JbwwvDy8SfxX/Ga8djyFvJT8o7yzvMU813zqPP59FD0q/UH9WL1ufYL9lj2ofbv90j3rfgV+G34sPjt+S/5cPmf+b354voZ+lj6jfq9+vD7JvtX+4T7tPvm/Bb8RPx2/Kj80/z7/Sj9Wv2G/az91f4G/jv+a/6Z/sr+//80/2n/nP/N//0ALQBdAIoAtgDkARQBQwFwAZ4BzQH5AiMCUAKDArMC4QMRA0cDegOlA84D/QQpBEkEYgSCBKgEzQTwBRcFPgVcBXYFnAXTBgcGKAY6Bk4GYgZtBnIGfgaYBrYG1Ab0Bx4HSwdvB4cHpAfcCDgIqAkVCXYJ1Ao2CpoK8QszC2ULkwvGDAAMMQxIDEgMUAx6DLoM4wzVDJcMUgwtDDUMYwycDMkM4AzrDPYM/Qz2DOQM1gzaDOwM+gzzDNEMmAxYDBsL5AuyC4cLZAtGCywLFQsECvkK6wrSCrIKlgqHCoIKfQpwCloKQQonCgwJ6wnGCaMJiwmCCYEJeQlbCT0I9AjCCLwI3gkTCUgJdwmbCbAJswmqCZgJgglqCVIJOwkqCSIJIQkeCRYJIwl0ChAKtQsCCtAKUAnWCYgJXAlECUgJawmSCZUJYgkFCJwIPQfwB7UHjQd3B2cHSwcVBtYGpQaGBmgGPQYNBeIFugWKBVcFLAUJBN0EnwRbBB0D4wOhA1gDDgLJAoUCQAIBAc0BnAFiAR0A0wCOAFMAIf/6/9r/vP+f/43/jP+Y/6H/pf+q/7j/yf/R/8//w/+s/4z/Z/9J/zn/Nv81/yv/EP7p/sH+mP5o/jb+Fv4T/hr+Cv3b/Z79Zv06/R/9Hf0w/Uj9W/1p/Wr9TP0R/Nv8xfzF/L/8qvyT/Ir8n/zp/W/+BP5r/pT+pP6x/qj+dv4x/f794f3I/ar9jP1l/S/9Bf0R/VD9jf2d/YP9Svzn/FH7r/tD+yX7Mfs5+y37GvsB+tv6qvp8+lT6Kvn3+bn5dPkm+NX4i/hJ+Af3uvdn9xj2zPZ+9jr2GvYe9if2FfXz9dj1v/WI9SX0rfRB8+fzkPMw8sHyPvGi8PXwPO9x7pvt2u1Q7QDsyOyU7GjsVOxK7DXsCuvT66brk+ub67Pry+vf6/fsGOw47EbsPOwd6+3rsut560XrCOqz6k3p7emZ6UTo5eiC6CLnvudP5t3mduYY5bvlW+UA5KzkXOQO48LjdOMc4r/iY+IO4bvhauEd4NHgfOAg38jfe9803u3ep95j3hndx9153Tbc+Ny13G/cMdv628Lbi9tf20HbKNsW2w/bEdsH2uXatNqG2lbaG9na2a3ZmtmR2Y3Zptn12mjav9rU2r3ardqv2qnaiNpo2mnagdqQ2ofaeNpv2mHaTdpG2lfaZtpJ2f/Ztdmc2bbZ5toW2knai9rb2yrbb9u13A3cedzr3VXdst4G3lLeod8I35DgKeC94ULhvuI34q/jLuO75FnlBOWy5lPm2Oc/55Pnzefa577nrufa6DDoc+iI6H3oVOf/567n1Oi76h/rd+x/7U7t+e5n7pvu1O9Q8AbwvvFY8d/yY/Lk817zy/Qm9Hn01/VG9a71+PYq9mL2p/bu9yz3aPeo9+/4O/iS+O/5RvmX+e36VPrG+zT7jvvY/CD8b/zC/Q39U/2l/gn+cv7Q/yj/iP/xAFsAxQE5AbUCMgKtAycDlAPhBBQETQShBQQFZwXOBkMGxwdLB8gIQQi0CR8JgQnhCkAKoQsGC20L1Aw7DKwNJg2gDg0OcA7HDwgPNg9vD9MQWxDrEYQSOxL8E4ETmRNvE1wTjRPrFFcU0hVfFdIV6hWOFP0UrBT2FdoW9hfWGE8YjRjJGQgZNxlUGWUZUBkIGNoZMRniGe8YeRXrE9cTcxSFFeEWvhcrF4EXyBfjF9wX1hfSF7wXnheOF4YXbBdHFzcXQRdGFzYXKRc1F1IXZhdsF2gXYxdqF5YX3BgOGAQX1Re2F7UXthegF38Xbxd9F6oX6Bf+F6wW+BZXFkUWxxduF88X3RfMF70XrReVF28XPBb9FsUWnBZoFg0VlBUvFP0U7xTqFO8VCxUwFU0VZRWEFaMVpxWKFV0VIRTAFEIT9RQkFLMVHBTgFAAS+hJYEkgSixK9EqMSShHmEZ4RexF2EYURoRG3EbIRjRFTERMQ1xCjEH0QahBnEGwQdBB5EHUQZBBLEDAQFg/3D9UPtg+ZD3YPSg8dDvUOyw6YDmIONA4HDdUNsg26DegOAg3WDXINGAzzDPcM8gy/DGMMBAvKC8ALzwvOC6gLagsyCx8LMgtRC1YLNgsMCwILKAtkC4ULYArwCloJ4QmxCcoKDwppCr4K5Qq3CjwJsQlNCREI4QiuCIkIfQh+CHkIZwhPCDkIJggPB+4HygevB58HjAdvB04HMgcRBuIGtgaoBrYGvAabBloGGQXtBdUFwgWmBX0FUwU0BR0E/gTZBMAEvgTHBMkExATCBMEEtwSjBIsEcQRSBDUEIwQZBAoD9wPtA/ED9gP1A/UD9wPzA+YD4APoA/QD+QQEBCkEWwR8BH4EdARzBIEEmASuBLwEvQS4BLgEvQTCBMkE1QTjBOwE+AUNBR4FFQT/BREFZAXMBfkF0QWABUgFSQVvBY0FfAVDBRQFFQUuBSME5wStBKYEwATFBKIEdwRoBHEEeARoBEUEJgQaBBwEEgPpA64DgQNqA1sDQwMlAwgC7gLTAroCpgKYAosCfAJuAlsCRQIrAhIB+AHfAcYBsAGbAYIBZAFDASEBAgDmAM0AtACcAIQAbQBVADsAJAAP//n/3f+//6T/j/92/1j/Nf8V/vj+2/69/p3+fP5c/jv+GP3x/cj9ov19/Vj9Mf0J/OH8ufyR/Gr8RPwZ++j7tfuF+1v7M/sI+tr6rfqB+lX6KPn7+dD5qvmF+Vr5Kfjy+Lr4hPhS+CX39/fE9433Wvcv9wn24fa09oX2WPYu9gX13/W79Zb1cfVQ9TD1DPTj9Lv0mPR09Er0HPP089Tzt/OZ83rzWfM28xHy7vLS8rjynPJ98mDyQfIj8gfx8fHd8cjxsPGb8YfxdvFo8VzxT/E88SnxG/EP8QTw+fD38Pvw/vD98Pzw/fEB8QbxDfEW8R/xJ/Ey8T/xS/FW8WbxgPGc8bLxw/HZ8fbyFPIw8k3ya/KK8qryzPLy8xfzOvNg847zv/Pt9BX0OPRc9IL0qPTQ9P71M/Vp9Zr1xfXy9iL2T/Z29pz2yPb59yj3VfeC96/32vgE+DL4ZfiY+MX48Pkc+Ub5b/mY+cT57/oY+kH6avqS+rb63fsJ+zb7XvuA+6D7vvvb+/n8Gfw4/Ff8e/yk/Mz87v0Q/Tn9Zf2N/a790f32/hj+NP5Q/m7+iv6j/sH+6P8Q/zH/S/9m/4L/nP+1/9T/9AAPACYARABtAJUAsgDHAOUBEAFAAWoBigGmAcYB8AIcAjACHgH3Ae0CIwKMAvkDPwNaA2sDqwRBBRQFyQYHBb8FNgSxBEED0gNWAtYCYwISAf0CJwJxAroDBQNkA8ED5wO3A0gCvQIbAVUAdf+j/xP+6/8r/57/9wAI/+H/nf8+/rv+NP3m/fL+S/7K/zv/VP7V/c38rPvX+1L63Ppr+lD61/ve/N79VP0a/Gj7nvsJ+r36oPqR+oP6dfpf+iz52/l/+TD47fim+Er31vdK9qn1//VX9LDz/vNB8ofx2/E88KzwOO/x79nv5PAG8DjwcfCo8OHxIvFe8XvxavEy8OjwmfBR8CXwHfAm8Bvv7u+y733vTO8U7tnuqO6H7m/uXu5f7njul+6l7p7uke6Q7p3uqu6u7qjun+6g7q3uwO7S7uHu9O8R7zTvVe93753vx+/v8BfwQvBx8KDwzfD98THxaPGg8dnyFPJR8o7y0PMX82DzqfP19Ef0oPT79VT1q/X/9k72mfbk9zj3mvf/+Fj4nfjd+SL5ZPmV+bj54vob+lr6kvrF+vz7Nftq+5v7zfwB/DL8YvyV/MX88P0W/UL9cv2e/cT96/4Y/kf+dv6o/t3/Ff9M/4L/tP/gAAgAMgBfAIwAtwDjAREBQAFvAaAB0QH+AigCVgKJArkC5AMRA0UDdwOiA8wD/QQuBFUEdASYBMAE5QUGBSgFSAVdBXEFmQXSBgYGJgZFBngGswbXBt8G4gbxBwUHDQcPBxkHNAdXB34HrAfnCC4IgAjbCUEJqgoLCmAKrwr7C0MLggu9C/sMMwxVDF0MYQx7DKgMyAy5DHcMIwvuC/IMKQxzDLAM2Az0DQsNGg0fDR0NHg0nDTYNPQ0wDQQMwAxzDC4L9gvGC5sLdgtYCzwLIgsNCwEK9grhCr4KmwqGCoIKgwp8CmoKUwo3ChcJ8wnQCbIJngmWCZkJlwl7CV4JEwjkCOMJCQk/CXQJnwm5Cb8JuQmwCacJmQmECWwJWQlOCUoJRAk0CR8JJAlmCecKagqjCnkKGAm8CXsJSAkhCRgJNQlbCVwJJQjICGoIIAfqB7sHkgd1B2UHUwcuBvkGxwagBngGRAYJBdMFoQVtBTsFFATzBMYEhgQ9A/kDtQNmAxACwAJ/AkUCCwHSAZoBWgEQAMAAdQA2AAH/1/+6/6b/k/+A/3T/d/+F/5D/kv+S/5r/rP+//8X/tv+R/2H/Nv8Z/wn/A/7//vT+2v61/o3+Y/4y/f/94v3h/er94f3B/ZP9Xf0f/Ov81/zn/Qf9Iv02/Tr9Ifzs/Lf8mPyM/IL8dPxk/FX8WvyU/Q39lv33/jP+bf6m/qv+Y/35/ar9gf1s/WT9bP1w/Vf9Mf0r/U/9c/10/U79BvyQ+/P7Zvsj+yz7SvtR+0P7KvsD+sT6evo6+gn54fm4+Y35V/kM+LD4Uvf997D3Zfcd9tn2kfZC9fv10fXF9b71qvWQ9X71a/U49Nv0afP9857zRPLh8mvx2fEq8GjvnO7P7g3tce0H7MHshexO7CjsGewR6/zr1eui63PrXutv65/r1Ov97BrsMOw77DTsH+v868vrketa6yvq8+qj6kXp6+mZ6UPo5uiL6DHnyOdM5tDmZ+YL5a7lTeTz5KDkTOP446fjVeL74pniPOHo4ZjhS+EC4LbgX+AA36nfYd8e3tfejt5D3fPdn91U3RXc2NyT3E3cFNvi26nbb9tB2yDbAtrn2t3a39rZ2rvaj9pj2jLZ9dm22YrZdNlj2VvZetnU2k7aq9rE2qvajtqA2nfaZNpT2lbaZ9pv2mfaXdpZ2lXaT9pZ2n3aoNqX2lnaCNnS2cbZ3toJ2kLaiNrW2yHbZNuo2/7cbdzl3VTdtN4L3lveqt8I34bgIuDF4Vbh0+JG4rzjPOPM5G/lH+XO5mrm6edP56bn6OgA5/Dn4+gC6Ejoieiv6LronOhK5/3oKOkH6lrrpuyw7YnuNu6e7s7vEe+e8GDxGPGm8hvyj/MJ84Tz+PRb9LP1E/WF9fX2TfaP9sz3Cfc/93H3rPfy+Dz4hfjU+Sz5hvnc+jT6mfsH+3L7z/wc/GT8tP0I/Vb9nP3p/kf+qf8F/2P/zgBEALUBJQGbAhcCjAL7A2oD0QQcBE4EhgTbBUMFrQYcBpkHIgenCCEIlQkCCWIJtgoNCnMK4gtPC7MMEwx5DOkNWg3ADiMOiw7uDzIPXA+dEB0QyxF0Eg4SrxNHE5oThRNFE0EToxQ9FNMVThWsFdsVvhVbFOcUpxTMFVsWMhcfF/UYkxjlGPYY/Rk9Ga8Z7hmzGU4ZZxoNGlAZIRanFFYTkBRjFcUWzRdZF7AX8hgUGBoYFRgKF+8X0xfFF7sXoRd/F3MXfheDF3gXdReOF7QXyBfDF7AXnxekF9EYFRg5GBcXzxepF74X4BfYF60Xlhe7GAkYOBgBF14WqBZeFq8XTxfBF88XqReWF6UXuxe+F6sXihdmF0oXLxb+FqIWLhXEFXMVNhUNFQYVHxU9FVcVehWsFdAV0RXAFbIVjhUoFJkURxR2FPMVQBUFFFMTfxLyEvETbhP9FB4TpRLVEh4RxRHMEhcSdRKsEpcSQhHZEXsRKBDcEKIQhRCAEIgQlhCpELQQpxCHEGcQThA0EBcQAA/pD8EPhg9IDxcO6w66DosOZg46DfYNrw2RDaUNtw2WDVINHQ0NDQQM3AyYDFoMOAwoDBUL+QvZC7cLjAthC1QLeQuzC8ULlQtMCy8LXwu/DAsMAwuOCtYKKwnGCaUJtQn9Cn0K9wsLCqQKFQm9CZgJYwkECKYIfAh+CIMIdghfCEkINAgVB/AHzAeyB50HhwdxB14HRgccBuMGvAbCBucG+wbeBpoGTQYQBegF0QW5BZQFaAVFBS4FFgT1BNsE1ATbBN0E2QTYBNgEzQS1BJgEeARUBDUEIgQYBAsD/APxA+wD6APjA+YD6wPoA94D3wPxBAQECgQOBCQERgReBGYEZgRpBHAEfASKBJcEnASdBKQEsQS+BM4E5AT7BQsFGQUvBUQFPQUdBQsFKwVsBZkFlQVtBUYFPwVdBYIFhQVYBSEFDAUTBQoE5gTMBNgE7wTjBLEEgwR8BJEEogSYBHwEZgRmBG4EYAQsA+cDsQOWA4UDbANOAzIDGAL7AuACywK9Aq4CnAKIAnQCXQJHAjACFwH+AeYB1AHDAa0BkQFvAU0BKwEMAPEA2ADAAKgAkAB3AF4ASAA0AB0AAP/h/8X/rv+U/3X/Uv8v/xD+9P7Y/rr+mf54/lf+NP4N/eX9vv2Z/XP9Sf0f/PX8zPyk/Hz8Vfwp+/j7xvuZ+3H7SPsc+vH6x/qd+nD6QvoX+fL5zvmn+Xv5S/kY+OP4r/h8+E34Hvfr97T3gPdT9yz3AvbS9qH2c/ZK9iL1/PXX9bP1kPVx9VL1MfUL9Ob0w/Sf9Hb0SvQh8//z4fPE86bzhfNh8zvzGfL78uDyxPKn8ovybfJQ8jfyI/IP8ffx3vHI8bXxo/GR8YPxdvFm8VfxS/FB8TbxLPEp8S3xMfEx8TDxMvE08TfxPfFF8U7xVfFf8W7xffGJ8ZjxrvHF8djx6PH+8hryN/JR8m3yjfKt8sry6PML8y7zUPN086Dz0vQD9C70U/R29Jz0xPTt9Rb1QvVy9aH1zvX79ir2V/Z+9qX2z/b89yr3V/eG97P33fgG+DX4aPiZ+MT47vka+UX5bvmX+cL56/oS+jn6YvqL+rP63vsM+zr7YfuD+6H7vfvY+/T8Evwx/FP8e/yl/Mz87f0R/Tv9Z/2K/aj9yf3u/g/+K/5J/mr+if6j/r/+4P8C/yH/Pv9e/3//nP+2/9H/7AACABoAPQBqAJQAtADPAOsBCgEvAVsBiwG0AdAB8AIdAk0CYQJRAjcCNgJYAo0CvQLYAuoDHgOcBF8FIwWgBcYFtQWFBTMEvwQ/A8QDVwMGAvIDJgOBA9oELgSNBOsFHgUUBNYEZwO1ArYBjQB+/87/nf/VADAAaQBoAED/9/+C/vL+gf5e/oL+0v85/5D/hf7e/cr8vPv2+1363vq4+zj8Rf1V/eP9wP0X/Dn7e/sR+vr7Avr8+uL6wfqb+mH6FfnL+Y35T/j++Jn4KPeq9xn2dvXN9SP0efPQ8zTyq/Ix8cXxbvE38RzxFPEg8ULxcfGh8c7yA/I68lryTfIT8bbxQPDE8GLwN/A48EDwMPAN7+bvve+H70fvDO7d7rTuke6J7qru4u8I7v/u1u607q7uvO7J7sruxO7D7s7u4e707wPvE+8q70XvYe9+76Dvx+/v8BfwQvBz8KXw1/EK8ULxe/Gx8eXyGvJT8o/yzvMR81fznPPk9DP0jPTo9T/1kvXl9jf2hvbT9yb3g/fi+Df4f/jH+RT5XvmV+b756fof+lr6kPrF+v77OPtu+6D70/wG/Dj8bPyi/NX9Af0r/Vn9iv23/eD+Cf4y/lz+hv63/u7/Jf9b/5H/xf/wABQAOgBoAJgAwwDsARYBQQFwAaMB1wIGAjMCZAKZAsoC8QMZA0cDdwOiA8sD/AQtBFYEewSiBMwE7wUOBS4FSwVfBXQFngXXBgYGIwZKBpUG7gcnBzUHOgdPB2UHYQdCByUHIgdAB3cHuQf4CCcIUgiQCPEJYQnACgMKOwp8CsgLFQthC7YMDgxVDHgMfgyBDJIMogyRDE8L9wu9C8UMBgxZDJ8M0gz5DRYNKw07DUsNXA1qDXYNeQ1qDToM7QyWDEoMDgvbC6oLgQthC0gLMAsaCwwLAwrwCssKogqJCoYKjAqLCoAKawpMCiQJ+gnXCb0JqQmjCasJsgmbCXsJOQkVCRcJNQliCZYJwwnXCc8Jvgm1CbUJsQmiCY8JhAmCCX4JawlJCSoJJwlOCZMJ0wnvCeMJxQmlCX0JRQkJCOQI5AjwCOMIsghuCDQIDwfyB8oHmgd2B24HdAdpB0IHDgbfBq8GcQYkBdkFlgVaBScFAATfBLQEcgQkA9IDewMbArgCYwInAfkBzwGfAWUBHgDQAIYARwAR/+P/v/+p/53/kP9+/2//a/9x/3n/f/+E/5D/o/+5/8D/rP9//0v/H/7+/uP+z/7D/rX+mv5y/kr+Jv4B/dv9wf25/bb9rP2b/YT9Wf0U/Mr8ofym/MT84/z8/Qn8/PzZ/K78ifxo/En8Mvwi/BL8C/ww/Iv89f1G/ZP9//5s/ob+M/25/Wj9SP05/S/9O/1R/VT9R/1B/UX9N/0L/NL8kPws+6j7N/sM+x77NPsv+xn6+vrG+nb6HvnZ+ar5ivlw+Vb5K/jg+Hz4Ffe592X3GvbZ9p/2YPYV9c/1n/WE9Wr1SPUp9RX1APTR9ID0GfOw80/y8vKJ8gPxVvCL77Tu4+4j7YPtDOy67HjsPOwP6/fr6uvZ68DrpOuD61vrPetJ64nr4Owl7ETsPewf6/zr5OvR667rdus96xHq5eqi6krp7umZ6UHo5+iS6Dvnz+dO5s7mZeYK5anlReTn5JLkPOPj447jOeLc4njiGuHH4XrhL+Dl4JfgPd/d34nfRt8I3sPedt4l3dHdfN0z3PbcuNxw3Cnb89vD24vbUNsi2v/a3dq+2rLat9q02practpH2hPZ1NmZ2XPZW9lE2TrZWtmx2h/actqP2oLaZ9pW2k7aRdo62jLaMNow2jHaO9pM2lzaZtp52qXa1drk2rzabtoe2ezZ5doI2kbajtrX2x/bZdus3AHca9zi3VLdtN4O3mPes98J34HgIODO4Wnh5uJV4srjT+Po5JPlROXs5nvm7+dT567n9+gc6B7oGugy6GnoqOjZ6Ojowuhv6Dnohelx6rLr4+zk7cDube7O7wDvUu/y8Lzxa/Hq8lHyu/Mw8630J/SP9On1SfW89jX2nfby9zr3cfeY97v38fg7+In40PkY+Wn5wvoe+nz63ftB+6X8AvxU/KD88v1K/Z795/4v/oL+3v89/6QAGwCYAQ8BgAHzAmgC0wM5A6QECwRZBI0ExAUaBYgF+gZuBusHcAfvCGUI1Qk/CZ0J8ApKCrYLMAukDAgMYwzDDSwNkA3mDjsOng8FD1QPjw/mEIIRTRINEqMTExNcE2gTPxMjE1sT7hShFTMVjBW0FbYVlxVcFRQU0RSuFNAVXRZbF5QYlxkJGPgY4Rk8GfgahBpuGf0Z4xpVGpEZlhdUFPMT0RRHFZYWyxeCF+EYGxhAGFAYTxg+GCIYBhf1F+kX0xe7F7MXuhfCF8YX1BfxGAwYFBgJF/MX4RflGA8YShhZGBwXwxelF9gYFRgTF+IX1xgbGG0YXhfCFuQWUhZnFwUXrhf5F98XqhebF7IXyxfOF8UXvRe7F7UXnhdpFxsWwhZoFgkVqxVrFWAVdxWJFZMVsBXfFfoV7xXhFesV5hWaFR8U0RThFSEVSBU3FOcUXBPPE7YUVxVLFboVKhPuEsYSPBJhEvoTpRP/E80TLhJ4EeURdxEcENsQvBC2ELoQyRDkEPQQ5RDAEJ8QixB4EGAQSRAwEAIPvQ94D0cPHw7yDsUOnw5vDiEN0A2oDbINuw2eDW0NUw1SDUANBQy/DJ8MpgyjDG4MGgvZC7oLnwt1C1wLfAvFC+0LxQtsCykLLwt7C9cL+guvCw4KZwn2CbgJmwm7CioKpwrGCngKJgooCk8KJwmUCO4IkQiACIYIgQhxCF8IRgghB/kH1Qe3B54Higd/B3YHWgcgBt4GuwbNBvUHAwbiBqUGZgYxBggF6wXRBa4FgQVcBUcFNgUeBQYE/AT7BPkE9QT0BPAE4gTHBKYEggReBD4EKAQaBA0EAAP3A+4D4QPXA9kD4gPjA94D4wP3BA0EFgQcBCwEQgRTBFoEWwRaBFcEWQRnBHgEgwSMBJoEqgS6BMsE5gUDBRYFJAU6BVIFVwU/BSMFGQUjBTMFRAVPBUwFQAVABVUFaAVeBT8FJwUbBQkE8QTpBPoFBQTpBLIEiASDBJQEnwSWBIAEcQRwBHQEZQQ4BAED2QPDA64DkQNzA1sDRAMoAwwC9gLkAtECugKhAokCcwJgAk4COAIfAgoB+QHpAdMBtwGXAXUBUgEwARMA+QDfAMUAqwCSAHsAZgBSADsAIQAE/+j/zv+y/5P/cf9P/y3/D/7x/tP+s/6S/nL+T/4n/f792P20/Y39Y/03/Q384/y5/JH8afw9/Az73Pux+4f7W/sv+wf64vq5+o36X/o3+hX58vnL+Z75bfk8+Qr42Pim+Hb4RvgU9973qvd690/3JPb29sb2mPZt9kP2GvX09dH1sfWS9XL1UvUx9Q/07vTL9KX0fPRT9C70DPPu89HzsfON82jzRfMm8wny7fLR8rXyl/J68mPyUfI+8iXyDPH38eTxz/G78arxnfGS8YbxffF08WrxYfFd8WDxYvFh8WLxZPFm8Wnxb/F58YLxh/GP8Z3xrPG58cjx2/Hu8f7yD/In8kPyXPJz8o/yr/LP8urzA/Mg80DzYvOI87Lz4fQQ9D30ZPSJ9K/01/T/9Sb1TvV79ar12PYF9jL2XfaG9q321fcA9yv3WPeH97b34PgJ+Df4a/ic+Mf48Pkb+UX5bfmW+cD56PoN+jP6XPqH+rP64fsQ+zz7YPuB+6D7vvvZ+/P8Dvws/FH8ffyp/M787v0Q/Tn9Yv2C/aD9wf3l/gT+Hv48/mD+hP6j/sD+3f73/xH/L/9T/3f/l/+2/9L/6wABAB0AQQBlAIQAowDJAO4BCwEkAUsBggG4Ad0B+QIeAk0CcQJ9AnkCdAJ3AoUCmAKpAr0C7QNVA/EElQUaBX8FzwX4Bd4FjAUuBN0EkgRPBDAERwR6BKkE0wUIBUUFfQWoBboFiQTsA+YCsQGbAN0AlQCtAOQA+gDfAKAAO/+t/yH+2v7o/xn/T/+Z/+n/4f83/hr9B/w3+5/7XPvH/Oz+NP7W/ov9qPyw++/7fvtc+237f/tt+z77Cvrb+qj6bPou+e35nvk9+Nf4c/gM95L3AfZj9cT1KfSZ9BzzsvNU8vzysfJ58lXyP/I+8lfyf/Kk8r/y2fL28wby+vLO8oHyD/F98O7wjfBo8GXwZPBa8ErwLe/777rve+9I7xru8O7f7wHvSu+F74bvT+8M7uPu2e7a7tzu3O7e7uju+u8R7ybvN+9H71rvcO+H76Pvxe/s8BXwQfBz8Kbw2vER8U3xi/HD8fXyKPJd8pXyzvML80rzifPM9Bv0dfTR9Sb1dfXG9hn2bPa79w33Zve9+A34Wfis+QX5WPmY+cb58/ol+lv6jvrC+vj7L/tk+5n7zvwC/Db8bfyl/Nn9Cf04/Wv9n/3O/fj+I/5M/nH+mP7H/vv/L/9h/5b/zP/5AB4ARQB1AKgA1QD8ASEBSAF0AagB3QIOAjwCbwKlAtQC+AMbA0gDeAOkA84D/QQsBFMEdwSgBMsE7gULBSoFSQViBX8FrAXkBg4GJgZMBpkG8wcuB0QHWQeHB7UHugeQB1sHQgdYB5QH3wgZCC4IMQhLCJgJAQlYCYcJpQnSChUKZAq+Cy0LsgwxDIYMowyeDJsMnQyHDEAL3gueC6cL7gxGDI4MxAzvDRMNMQ1PDW0Nhg2YDaYNrw2jDXENGwy7DGcMJAvrC7ULigtuC1wLSQs0CyMLFQr9CtUKqAqMCooKkgqXCpUKhwpmCjcKCgnpCdAJuQmvCboJxwm1CZQJZAlTCVoJagmHCbYJ5wn5CegJzgnECckJyAm8CbAJsAm3Ca8JjQlcCTwJOglKCVYJVwlcCXQJmQmtCZYJUwj/CLoIkwh/CGoITQguCBkIDQf8B9cHpQeEB4kHpAeoB34HPAcBBtEGlgZFBewFmwVXBSAE9gTWBK4EbgQXA7UDTgLlAn8CKQHsAcQBpAF9AUYBAQC8AIIAUgAj//P/zf+2/6n/m/+I/3b/aP9h/2L/av95/4v/nv+r/6f/if9c/zH/EP7w/sn+pv6Q/n3+X/40/g398v3c/cT9rf2a/Yj9d/1u/Wj9Sv0I/Lf8gPxy/ID8l/yy/Mj8zfy9/KP8f/xO/Bv7+Pvm+9L7vvvN/A38V/yR/N79Zv37/jj9+/2U/Vv9Uf1E/Sb9E/0W/SH9Lv07/TP8+vyf/FT8Jvvr+4r7J/r0+u366frX+sP6qPpv+hP5s/lw+Uv5OPku+R/49vio+EX35veR9z/28Pas9nH2MPXo9an1gPVh9Tz1EPTp9Mv0qvR09CTzwvNc8v7yovI08Zfwx+/d7v3uOO2T7RPstuxu7Cvr8uvT68vrv+uj64frfety61DrJ+sp623r1Owl7DvsG+vh67Hroeuh647rWesf6vjq2uqk6k/p8OmX6UDo6OiS6Drn0OdT5tfmbuYQ5azlQ+Th5IfkLePS43vjI+LC4l3h/uGs4V7hEeDE4HTgGd+8323fMN703q3eXd4K3bTdXt0U3NfcmNxP3Arb1Nuk22vbMdsE2uHavdqd2pPamtqa2oPaXtox2fjZtdl/2WDZSNku2SLZQNmE2dPaE9o92k7aR9oy2h7aD9n/2ezZ29nS2dfZ89oh2lDacdqP2rza9NsY2wvay9py2iPaANoT2k7altra2yDbadu13AfcadzZ3Undr94M3mPetN8K34DgIeDW4XXh8eJd4tTjYeQD5LTlYuX85nzm6udR57LoAugy6EboUehn6JLozOj86QLoyuh36GXo5ent6x3sLO0W7evuke7s7yTvjPBC8RDxsvIi8oHy6/Nk8+X0YfTK9ST1gvX09m/24PdA95H3yvfr+Ab4Nfh++M75GPlc+ab5+/pY+rn7F/ty+878LfyI/Nv9L/2K/eL+LP5s/rX/D/94/+wAagDqAV8BygIzAp0DBANsA9oEQwSSBMsFCgVoBd4GUgbABzAHqQgkCJoJCglyCdIKMQqYCwoLgQvxDFMMrQ0KDW4NzA4XDloOqQ8GD2IPvhA6EO8RyRKRExgTThNBExQS/hMtE6cUSBTcFUIVdRWGFYwVjxWEFVkVERTQFMsVPxZGF6kY3RllGVEZNhmYGl8a9RrwGokaURp9Go8ZwxfgFaQUOhREFWYWuxejGBEYRxhuGIcYiBh2GF0YQxgsGBgYBxf6F/MX8xf9GBMYLhhCGEoYSBhDGDkYKxgvGFkYkRiZGFIX9hfeGBYYTRg+GBUYKxiFGLEYQBdRFnsWRxa+F3gX/xgiGAIX2hfSF98X5BfaF9IX3BfzF/4X7RfCF44XWBcTFrQWShYBFe8V+xX9FfwWFhZGFloWPhYcFh0WIxX9FbYVgxV1FXQVghWtFcgVeBTHFGEU4hX1Fo0V+hSVE0wSxBMME9MUoxUGFLoT6BL6Ej4RvBFkETQRJxEmESQRKBE4ET0RIxD2ENcQzBC/EKcQihBqEDcP8g+0D4wPaQ89DwwO4A6qDmEOHg4JDhoOIA37DcYNrA2lDYgNQwz7DOAM6AzXDIgMHQvWC8ILsguCC1ELVAuKC7QLngtPCvkKzwrqCzsLgAtyCwoKiQopCegJuAmxCekKJgoaCd4J5ApcCtcKwAoNCToIugiVCJQIkgiJCHcIWAgyCA0H7AfLB64HngebB5EHZwcdBtYGuwbPBuoG4ga2BoMGXwZCBiIGAQXiBcEFmwV7BWcFWQVIBTUFKAUhBRkFEgUOBQgE+ATbBLgElARyBFYEPQQnBBAEAAP4A/AD4wPWA9UD3gPkA+cD8AQBBBIEHAQmBDUERQROBFIEUwRQBE0EUwRlBHsEiwSYBKYEsgS5BMME2QTzBQYFFQUrBUQFUAVLBTsFJAUIBP0FHgVeBYYFdAVHBTIFRAVdBWUFWwVHBSoFDgUEBQwFDQT4BNgExAS/BLgEpwSOBHcEZwRfBFoESwQwBBMD/wPvA9YDtAOVA38DbANUAzoDJAMQAvkC4ALEAqgCkQKAAnECXwJHAjECHgIMAfQB2QG+AaABfwFdAT8BJAEHAOkAzACyAJsAhABuAFgAQAAmAAv/7//R/7P/k/9y/07/LP8L/ur+yv6r/oz+af5C/hj98/3Q/ar9gP1U/Sn8/vzS/Kj8f/xT/CX7+PvN+6H7c/tG+yH6//ra+q76gvpb+jn6F/nw+cT5kvlf+S34/PjM+J34bfg9+Ar31vek93b3Sfcd9vD2w/aW9mj2O/YS9fH10/Wz9ZH1cPVS9TP1FPTz9ND0qvSC9Fr0N/QY8/zz3vO985rzePNW8zjzG/MA8uPyxPKm8o7yffJq8lPyOvIl8hHx/PHo8dfxzPHC8bnxsPGn8Z3xlvGT8ZPxk/GT8ZTxl/GZ8ZzxpPGv8bfxuvG/8cjx1fHi8fDyAvIT8iLyNPJM8mfyfvKU8q7yzvLu8wfzHvM281TzePOh88rz8fQZ9ET0bvST9LX02PT+9SX1TvV79az13PYJ9jT2X/aK9rT23vcH9y73WPeG97X34PgJ+Db4aPia+Mb48Pka+UL5avmU+b/55/oN+jT6X/qL+rj65vsT+zv7Xft9+577vvvb+/b8Efwv/FP8fvyp/M/87/0Q/TT9WP13/Zb9uv3d/fv+Fv4z/lT+df6W/rf+1/7x/wz/Kv9L/2v/if+o/8f/4v//ACIARwBkAHYAjwC5AOkBDAEjAUIBcgGpAdYB+QIbAj8CYgKBAp8CtwLFAsoCzgLVAucDFwNzA+4EZATGBScFkQXjBfYF1gWxBZ4FigVmBUMFLwUhBREFBgUOBSkFXAWrBfgF+wWEBK4DugLYAiABrAGHAY8BiwFgAQoAhP/c/1r/Qf95/6n/vP/zAFcAb//J/pf9dPy9/HL8pv2B/sj/sf+Q/n79MfxD+9H7sfu7+9H70/u0+337RvsX+uz6wPqK+kP57fmQ+Tj45fiK+Bz3mvcK9nT15PVi9Pf0oPRS9AjzxfOT83HzWvNQ81nzb/OB84nzjPOP84zzffNg8y/y1/JS8bnxOPDq8MfwufCz8K3wm/By8Dfv/u/O76LvdO9Z73Dvtu/+8BPv5u+a71TvIu8A7uvu5O7l7uzu/e8Y7zbvSu9Y72nvfu+U76jvwe/j8AzwO/Bu8KTw2vEU8VLxk/HP8gXyOPJs8qHy1/MP80rzg/O/9Aj0X/S39Qb1T/Wc9fD2RPaV9uj3PveT9+P4NviR+PH5SPmL+b/58vop+mH6lvrJ+vn7Kftb+5H7yvwB/Db8bfyk/Nf9B/07/XP9qf3Y/gP+Mf5e/of+rv7c/w7/Pv9r/53/0wAEAC4AWACJALsA6QERATUBWwGFAbcB6wIbAkgCdgKoAtQC9wMaA0YDeAOnA9QEAwQvBFQEdwSfBMoE7gUKBSgFSwVtBY8FvAXvBhYGLQZNBooG0AcABxgHPAeBB8kH5AfKB5kHfQeJB7sH+ggnCCwIGQgcCFMIqgjzCRQJIwlBCXkJwAoSCoMLIAvTDGgMuAzNDM0MzAyvDFoL5QuTC5YL3Qw2DH0MsAzbDQUNMA1bDYINnA2uDcMN1A3MDZUNOQzTDHkMMAvzC8ELnQuIC3wLbQtWCz8LKAsJCtsKqwqNCooKlgqjCqwKpQqEClIKJQoKCfIJ1QnDCcoJ1wnGCbMJkgmTCaAJpQmwCdUKAwoUCgAJ5gneCeIJ3gnPCcUJzAnYCc4Jpgl2CV0JYgllCUsJIwkbCUoJkAm3CaAJUwjyCJoIWgg0CCUIIQgeCBYICwf4B9YHrgeXB6QHwAe+B4MHLQbnBr0GkgZPBfkFpAVbBR8E8wTTBK8EcQQVA6sDQQLeAoECLQHrAb8BoAF/AU4BEADVAKcAfQBKABH/4f/A/6z/nP+Q/4T/dP9f/07/S/9X/2j/df91/2H/Ov8Q/vT+5P7O/qj+gf5k/kv+KP3+/d39y/2//a79mP2B/Wj9Uv1I/UP9Kvzw/Kv8dvxa/Ez8Tfxf/Hv8jfyQ/IX8aPwz+/n71fvE+6f7gvt9+6v75fwM/EP8vv1c/bj9qv1z/V79Z/1Z/Sj88/zX/Nn89P0V/Qv8ufxG+/377vvc+5T7Lfrd+rD6j/p1+mf6U/oY+bP5TvkN+PD45/jl+Nf4qvhZ9/z3q/dk9xX2wPZy9iz15PWe9Wv1T/U59RX06PTA9Jv0afQi88jzYvL+8qPySvHW8STwOe9B7mntvO0y7MTsbewl6+Xrtuum66TrlOtx61nrW+tb6znrC+sK61HruOv/7Ajr4euo63/rdOt462jrN+sA6t7qxuqW6kTp6OmU6UHo5+iL6C/nyudY5uPmeeYW5a/lROTg5ILkI+PE42njDuKs4kXh5uGQ4UDg8eCk4FTf+9+i31rfIN7i3pfeQ93w3ZrdRdz63Lrcetwz2/HbvduL21DbFtrr2sraptqG2n3ahdqE2m7aStob2d3Zmdln2UzZM9kW2QnZINlK2XLZn9nc2hfaLdoW2evZyNmy2Z7ZiNlz2W3Zi9nR2iTaZNqP2r3a+Nsp2zPbDdrC2m3aMdot2lzaodrl2yjbcNu83AncX9zH3Tndpt4G3l3ert8I34HgJODY4Xbh7+Ja4tTjaOQT5Mblb+X+5nPm3+dN57joEOhN6HXoj+ik6MHo7ukZ6Rbo0eh/6IzpOupb64LsdO1G7g3uqe8B70fvyvCW8WPx9vJX8rXzJvOl9Cj0ovUI9V71u/Yt9qn3G/d999L4FPg7+Ff4gvjF+RL5XPmh+ej6NfqN+u37S/uj+/z8Xfy//Rr9b/3K/iL+av6n/uz/S/+/ADwAuwE0AaECAgJfAsEDLAOeBBIEeQTHBQkFWgXHBkIGsQcQB24H2ghWCNEJPgmeCf4KbArkC1oLxgwrDI0M7Q1MDawOAQ5BDm8Oow7vD1YP2xCEEVESLRLtE14TZxMiEuIS+BNwFAwUjhTjFRwVRRVnFYwVrhWyFYsVXhVeFacWQBcyGGIZcBn3GgMaDxp6GxUbahtEGtwahhphGjUZkxgvFkcUuBRdFUYWrxfBGEIYeBilGMUYyBi2GKUYkRhyGFMYQxg+GDcYMBg7GFoYdhh+GHgYeRiCGIEYcxh0GKEY3RjmGKIYShgwGFkYfBhvGGkYqBj7GNIX8hbaFlAWoBdoGBEYVhhTGDoYKBghGBwYDBfwF9sX3hf1GAcYBxf6F+oX0hegF0sW6BabFnkWcRZvFnwWrBbqFv8W0RaMFmIWVRZKFjwWMRYaFfYV/xZfFsIWjBWoFN4U9RW9FjMVrBR7E3cTKBOFFD8U8xU7FOYUHRM+EogSCBG8EacRtxHDEbwRthG7EbARfxE/ERYRDBECEOsQzBCpEHUQNA//D90Pvg+RD1wPKQ7wDq4Ofw5+DpgOmA5nDiQN9g3bDa4NYg0WDOsM2gy3DGoMEgvgC9gLzAuZC1wLQgtQC18LTgsfCuAKqQqdCtILIAs8CwkKrgpdChoJ4AnGCdIJ0gmZCWYJpQpYCugKygoRCUgI1AivCKkIqAijCI8IawhGCCoIDAfnB8UHuAe3B6YHbwcfBtwGxwbZBuUGyQaRBmQGUwZLBjYGEgXuBc8FswWbBYgFeAVnBVgFTQVCBTYFKwUlBSAFEQT1BNIErgSRBHkEYAQ+BBoEAAP2A/MD6gPdA9gD3gPnA/ED/gQLBBYEHwQsBDsERARGBEYESQRMBFQEZQR/BJYEpgSyBLwEvgS7BL4EzwTkBPMFAwUaBTAFOwU+BUAFMgUNBPkFKgWQBdgFwwVyBTYFOQVgBX4FgQVuBU0FLgUeBRsFGgUaBSQFMwUxBRAE3QSyBJUEgQRwBGMEVgRGBDgELQQcA/4D2AO5A6MDkQN8A2YDUwM/AycDDQLxAtUCugKnApcChQJtAlUCQQIrAhQB/AHoAdEBtAGUAXYBWgE9AR0A/QDfAMMApwCNAHQAXABDACgADP/w/9P/tf+U/3D/TP8p/wf+5v7I/qn+h/5g/jf+E/3v/cj9n/10/Un9HPzu/MH8l/xr/D/8FPvq+777j/tj+z/7Hvr7+tH6pvp++lv6OPoT+er5uvmG+VH5Hvjv+MD4kvhk+Db4BPfQ9573cPdE9xn27vbB9pD2X/Yz9hH18/XU9bH1kfVz9Vb1OPUY9Pf01PSu9In0Z/RJ9C30D/Px89LzsvOQ827zUPM18xfy9/LY8r/yrPKZ8oHyafJT8j/yLPIa8gzyAfH38e3x4/Ha8dDxyfHH8cjxyPHH8cnxzPHN8c7x1PHe8ebx6PHq8fHx+vIF8hTyJvI38kbyVvJs8oTym/Kw8sry6PMG8yHzOvNT83DzlPO+8+X0BvQo9FH0fPSg9L703PT/9Sf1UfV+9a713vYJ9jL2XfaJ9rf24/cL9y73VPd/96732/gF+DD4YPiR+L/46vkU+T35Z/mT+b/56PoQ+jr6Z/qU+sD67PsV+zr7W/t8+5z7vPvb+/n8F/w2/Fb8fPyk/Mv87v0Q/TH9UP1t/Yz9r/3R/fD+D/4u/kn+Yf5+/qL+x/7n/wb/J/9H/2D/ef+X/7X/0f/wABcAQQBgAHIAiACtANwBBAEiAUABZQGRAb4B6QIPAi0CSgJxAqQC2AL+AxQDIAMoAzgDYQOwBBMEaQSmBOIFLgV3BZ4FqQW5BdUF6gXlBcoFnwVoBTIFEgUPBSEFUQWoBf8GCgWuBR8ElQQLA2cCxQJaAi0CFAHmAY0A+wBH/87/0gAdADoAJQBMAM8BEABy/yv+C/2f/dX+bv88/+3/+f8j/dD8r/wa+/T7+Pv++/z77PvO+6f7evtL+yD6+/rO+pD6Rfn8+bf5Z/kG+Jf4H/eh9xz2mvYk9cH1cfUp9Ob0rfSG9G70WfRA9Cz0IvQd9Bj0EfQI8/vz5vPN86nzavMG8ovyFPG18XDxQ/Eq8R7xD/Dv8MHwkPBk8DjwCu/q7/LwKPBs8I7wevA/7/Pvo+9V7xju8+7j7uLu7+8N7y/vR+9X72zviO+g763vvO/W7/zwK/Bf8Jnw1PEQ8U7xkPHQ8gryQfJ48q7y5PMd81bzjPPD9AT0UPSd9OD1IPVn9bn2DfZg9rX3Dvdn9774Gfh4+NX5JPll+aD53/ol+mr6qvrf+wz7Nftk+5v71fwL/D/8c/yq/N39Df1A/Xj9rf3b/gj+Ov5v/p/+y/74/yf/U/98/6n/3QASAEMAcQCiANMBAgEvAVsBhQGuAdsCCgI1AlwChQKwAtkC/AMgA0wDfAOqA9YEBQQxBFYEdwSeBMgE6wUHBScFUAV6BaEFyQXzBhcGMgZUBocGvQbhBvYHGQdYB50HxQfDB6wHmgefB70H5ggHCA0IAggGCDEIdgivCMoI2gj6CS0JZAmbCe8KggtNDBkMqAzrDQINBgznDIkMBQuiC5UL0wwqDHAMoQzKDPcNKw1gDYgNnw2xDckN3Q3RDZYNPQzdDIUMOAv7C9ILugusC58LjAtxC1MLNQsRCuEKsAqTCo8KngqyCsMKwQqgCm4KRwo0Ch4J+QneCeMJ8AngCeMJxAnKCdkJ1wnXCfAKEwofChAJ/wn8Cf0J8wngCdYJ2wnjCdsJvQmcCY8JlAmLCV0JJAkTCTwJegmUCXQJKQjQCHwIPAgaCBcIIggjCBIH+AfgB8kHsAefB6EHqweYB1QG+Qa0BpEGcwZBBfkFrwVqBS0E+wTUBKsEbQQUA64DTwL6AqkCWQISAd4BvQGdAXEBOQEEANcAqABtACn/7v/C/6T/lf+V/5n/j/9w/0f/Kv8g/yT/Jv8b/v3+0f6o/pL+i/5//mb+Sf4w/hP97v3M/bf9rf2h/Y79ev1o/VL9O/0q/Rr8/vzR/KP8fvxa/DL8FvwY/DH8SvxY/Fn8Q/wQ+9n7u/uu+437V/tC+2n7pPvC+9z8Lvy0/R39O/00/T39Uf1G/RL81fyt/Kf8wPzd/Mn8b/wE+9f76/vw+6v7NfrN+oX6T/om+g758fmt+UP43fig+In4gfh7+Gf4Nvfq95r3WPcX9sT2ZvYO9cH1d/U59RX1B/T39Nb0rvSK9GP0J/PQ82rzAfKe8kPx5/Fm8KTvr+697fvtaOzt7H7sI+ve663rkeuJ64Pra+tF6y/rMOsn6v7q1ern6z7roOvS68zrrOuI62zrWutP6zrrEOri6sLqp+p36ivp2OmN6UDo5OiA6B/nvudV5ufmfuYZ5bHlSOTi5IDkHOO441fi+eKX4jHhz+F14SLg1OCK4D3f5t+P30jfDd7L3nveJt3V3YTdM9zp3KfcY9wc29zbqNt02zja/9rX2rjaldp32m7ac9pv2ljaNdoG2cTZgdlT2TrZHtj+2PDY/9kQ2RbZMtmA2eDaFNoA2cjZlNl02V/ZR9kn2Q7ZItl32ezaTNqG2rba7tsi2zrbMNsG2sHaeNpU2m/astr42zXbdNu52//cS9ys3SDdlt383lTep98F34PgJuDV4W7h5OJP4s3jaOQY5MzlceX55mrm2edQ58boKeh46LXo3+jx6PrpE+k16TDo6OiU6KnpZ+qV673sq+117jHuxO8g73vwGfDz8bjyN/KK8ufzX/Pk9Gf03PU79Yv16fZi9uX3W/e9+BT4XfiP+LP43fkV+Vb5m/nj+iz6d/rJ+yf7h/vh/Dn8mfz9/Vr9sf4K/mP+r/7v/zn/nQAWAJMBBwFyAdQCLAKCAuMDVgPVBE0ErgT6BUYFqQYiBpwHAwdYB64IGAiXCRQJeQnJCiQKmgsdC5ML9wxaDMcNMQ2ODdsOGg5IDmwOlQ7aD0wP8hDBEaMSfBMsE4oTfhMtEvwTOxPSFGEUrhTSFP4VOhV7FbcV2xXOFaYVuxZKFyYX+hiwGWgaFhqFGr0bChuLG/Mb8RuSGxkaoBoiGawZLBhGFsMVLBSDFToWrxfiGHIYrRjkGQwZCxj2GOwY4Bi/GJcYhRiGGIQYfxiLGKkYvRi5GLEYuBjDGLkYpxiwGOIZExkGGLYYYhhNGHQYoBi7GO4ZSRlsGNoXpBaVFnEXLxgZGJQYnRiEGHcYcBhkGFUYPhgaF/MX3BfdF+gX9RgGGBUYEhfwF7EXYxcWFtsWvBbAFuwXOBeCF5cXYxcIFrsWlRaRFqIWsRafFnsWjRb9F24XOxZGFT0U3hUXFTUUwBP2E2cTWRO3FEUUuRTQFHgT4xNQEtQSaxIoEiMSRRJZElMSVhJpEmASGBGxEWgRTBE/ESwRExDyEL8QgBBLECoQDQ/jD7MPfw9BDv0O0Q7QDuIO1g6eDlcOHg3wDbUNZw0ZDOEMugyODFUMHgwBC/gL4guzC4ELYQtOCzcLIAsQCvoK0wq0CsUK/QsnCx0K6wqnClgKDgnrCe0J2wmWCWMJngovCooKTQmqCRgIzgi3CLIItgi3CKYIhAhlCE0ILAf9B9cHzAfMB7cHfwc1BvoG4wbpBuoGygaSBmYGWAZXBkcGJAX8Bd0FyAW2BaQFkQV/BXEFZQVZBUkFPQU4BTQFKgUUBPUE1gS8BKYEiwRiBDAECwP9A/sD9APnA98D3wPnA/QEAwQPBBgEIQQwBD4EQgQ+BDwEQARJBFsEdwSVBKsEuQTFBM0EyQS/BMIE1QTnBPEFAAUXBScFKAUqBTUFNgUbBQsFPgWpBfUF4gWQBVQFVAVzBYgFhgV1BV4FSQU8BTMFLgU3BVkFgAWFBVsFHQTuBNQEwASrBJkEiwR8BG4EXQRHBCUEAAPhA8oDtgOiA5IDggNvA1YDPAMiAwUC5wLOArsCpwKOAnUCYAJLAjUCIQISAgEB5wHJAawBkgF2AVYBNQEUAPIA0QCxAJQAeABcAEAAJgAM//D/1P+0/5P/cv9Q/y7/Df7t/s3+qf6C/lv+Nf4O/eb9vP2S/Wj9Ov0L/N38sfyG/Fr8MfwJ+9/7svuH+2D7PfsZ+vD6xvqe+nf6U/ow+gz54fmv+Xn5RPkT+OP4tviM+GL4NPgA98r3l/dp9z/3Fvbq9rr2iPZb9jb2GPX69dn1u/We9YL1YvVC9SL1AvTh9MD0ofSE9GX0RfQn9Avz7fPL86jziPNr803zL/MR8vfy4fLL8rPymvKD8m/yXvJP8kPyOPIu8iPyGPIN8gPx/PH78fzx/PH78fzx/vH+8f3yAPIG8gzyD/IS8hnyIfIq8jjyS/Jd8mzye/KM8qHytfLL8uTy/vMZ8zfzVvNy84/zsfPZ9AD0H/Q/9Gf0kvS29NL07/US9Tn1YvWN9br15fYM9jP2W/aG9rP24PcJ9yv3Tvd496j31/gB+Cv4WPiJ+Ln45fkR+Tz5avmZ+cX57voW+kH6bvqa+sP67fsV+zn7W/t8+537u/vY+/n8Hfw9/Fv8evye/MX86/0P/S79Sf1k/YL9of2+/dz9//4i/j3+Uv5r/o7+sv7S/vT/Gf88/1f/cP+O/6z/xf/eAAEAKQBOAGsAhwCnAMsA8AEVAToBWwF9AaYB1AH/Ah8CPAJkApoC1QMKAzUDVwNxA4QDogPbBCkEbwSbBLgE2wUIBTcFZgWZBccF5QXuBeYFxwWSBV4FRQVIBVwFiAXSBhIGCQW6BW0FRgUQBIsD1wNEAvECwAKQAkQBvwETAJ0ApQDiANEAfAB/ARIBiQEZ/+f+5f66/z3/2wAl/+n/IP4D/QL8cPxD/D38NPwi/An77/vb+8j7p/t1+0T7H/r6+sX6i/pX+h/5zvll+PT4ifgg97T3Svbn9o32O/Xw9az1dPVO9TX1F/Ts9Lz0l/SB9HP0aPRc9Ev0NPQV8+zzuPN28yzy3vKM8jnx8/HE8anxk/F08U3xHvDt8L3wlfB/8IfwrPDd8Prw9vDT8JjwQu/Y72/vIe7z7uLu6u8G7yjvQO9R72vvjO+l76/vt+/K7+vwFPBG8IHwv/D+8T3xgPHC8gHyP/J78rby8PMr82bznfPS9A30UPSP9MT09vU09YD10vYm9n322Pc195L38fhO+KD45fkk+Wf5tvoM+mL6r/rs+x37Svt9+7X77Pwd/Ez8gvy9/Pf9K/1c/Y/9v/3r/hj+Tv6J/r3+6v8T/z3/ZP+J/7L/5AAbAFIAiAC8AO4BIAFVAYsBvAHlAgsCMAJTAnUCmQLBAukDDQMyA1sDhQOsA9QD/wQrBE8EcQSVBLsE3AT5BR4FTgWCBa4F0gXzBhQGOQZoBqEG2Qb+BxEHIgc+B2EHfgeMB44HjgeRB54HtQfPB+IH7ggCCCoIXwiLCKcIwAjqCR4JSAlkCZMKBwrMC7AMaQzSDP4NDAz1DKYMLQvGC6YL0AwcDGUMnAzIDPQNJg1XDXsNjw2jDbwNyg20DXsNNAzpDJkMSAwIC+QL1QvJC7cLnQt9C1wLPAsYCusKvQqfCpoKpwq9CtAK0Qq0CokKbgpjCkwKIQoDCgwKIAoRCh8J9wn0Cf8J/Qn7CgwKIwoqCiEKGgobChcKCAn2CesJ5gnjCd0J0gnHCcAJuAmfCWoJMAkXCSYJQAlACRsI4AigCGUINwgjCCcILwgjCAIH3gfHB7wHqweTB30HbAdSBx8G3gaqBocGZAY0BfwFyAWXBV8FIATgBKAEWAQEA64DXQMTAsoCfwI5AgMB3AG5AY4BWwEoAPgAwQCAADn/+P/F/6L/lf+f/7H/rv+K/1D/GP7y/uD+1v7G/qb+ef5N/i3+Gf4K/f/9+P3t/dT9tP2d/Zf9k/2C/Wr9WP1N/T39Jf0L/O/8z/yt/JP8fvxb/Cb79/vp+/f8Dfwf/Cf8Fvvk+637kvuM+3D7Ovsd+0D7f/ue+6b70vwy/JT8yfzf/Pr9Ff0R/Or8uvyd/Jr8qPyr/ID8KPve+9r8BPwE+637Kvq9+nL6Lvnn+an5bfka+LD4U/ge+Ar3/vft99P3qPdw9zj3Ava/9mL1+PWa9Uz1CvTZ9MP0u/Sp9IP0WvQ49BDzzfNv8wfypfJI8evxf/Dn8BPvHu4/7ZftGOyi7C/r0+ub64Hrdutv617rPesW6v3q7erN6p3qiurE6zTrk+uu65frfOts61nrPOse6wXq5+rF6qXqg+pT6hDpx+mB6TXo2+h36BPnsedM5uTmf+Yc5bXlTeTm5IDkF+Ou40ri7OKK4iXhv+Fh4QzgweB74C7f1d973zDe8N6p3lfeA9223W3dI9zc3JrcU9wJ28jbk9te2yLa69rG2qnaiNpr2mLaZNpd2kfaJdnz2bDZbtlF2TDZFdjy2OPY69jr2N3Y69k62ajZ8Nnw2cDZhdlR2SnZB9jf2LzYy9kr2bvaNdp+2rXa8dsg2zbbPds42w/awNp82nvaudsA2zbbZ9uk2+bcLNyG3Pzde93r3kfent8C34TgJODN4WHh1+JF4sbjZeQX5MrlbOX05mnm3ude597oT+iw6QLpOelI6TzpPOlO6UfpAOik6KnpV+qE677sw+2b7lXu5O9K77zwbvFG8fnyZPKt8wvzh/QR9JX1B/Vh9a32C/aL9xr3m/gE+F74qvjj+Q75N/lk+Zf50/oc+m36vvsQ+2v7y/wn/H/82/08/Zn98f5L/qf+/f9I/5n//gBzAOUBSwGmAf0CUAKmAwoDhAQLBIUE4wUtBX4F5wZdBs8HNAePB+8IYQjjCVwJtQn5Ck0KxQtIC7oMHwyODQwNfQ3HDfAODQ4vDl4OnA7xD20QHhD+EewSwRNgE7ITqxNwE1wTqBQsFI8UshTLFQcVWRWkFd0V9BXYFcIWLBdJGKMZlhoEGkMajhrVGx4bmBwzHIYcVRvfG2Ya0RoFGUgY1xhPFx0VhBSiFTYWtRgCGJ8Y4BkgGU8ZShkuGSYZIhkDGNgYxhjQGNkY3hjtGQMZChkAGPsY/hj0GNwY2RkGGUEZRBjvGHIYHxgeGFoYohjsGUkZnhmFGLAXcxamFtkXvhiKGMwYtRifGJ4YlRiBGHUYbRhVGCwYBxf1F+4X9RgKGCAYIxgPF+4Xvxd5FygW9Bb6FzIXexezF8IXnhdXFxIW6BbgFuwW9hbqFtYW7Bc/F4kXVRaMFZgU8xSqFG0UDROkE2wTgBPaFFMUnxSAFA8TnhNaEyIS1hKXEpMSsRK8ErgS2xMgEzQS3BJGEcsRjxF3EWMRTREvEP0QvhCKEGoQUBAwEAoP2g+XD0oPEA76DvQO2A6hDmcONw4HDccNew01DP0MzwyiDHYMUgw4DB0L9QvIC6cLkwt1C0oLKgslCyULCArZCsAK0Qr4CxsLKwsSCsQKYgosCioKIQnkCakJuQoBChwJ1QlgCQgI3AjECLgIvgjHCLwIpAiOCHUISQgQB+oH4gfiB80HngdiByoHAwbyBugG0gaqBoIGbAZjBlQGNQYQBfEF3AXNBb0FqQWVBYUFdgVkBVEFRQVCBUMFPwU0BSEFCgT0BN4EvgSNBFMEJgQRBAkD/wPyA+gD5gPqA/QEAgQPBBkEJAQ0BEAEQgQ+BDwEPwRIBFwEeQSXBKwEvATNBNcE0QTEBMkE3wTxBPcFAQUVBSIFHwUdBSwFNgUpBR4FQwWNBb0FrgWEBXcFigWZBZAFewVrBWQFZAVlBVsFRgU9BVUFewWFBWIFMQUTBQcE+AThBM0EvgSvBJwEhwRvBE4EKgQLA/ID3QPLA74DsAOcA4IDaANPAzIDEQL2AuECywKyApgCgwJuAlgCRAI1AiQCDgHzAdoBwQGnAYkBagFIASQA/gDaALkAmQB5AFsAQQAoAA7/8f/U/7f/mv96/1n/Nv8V/vL+zv6n/n/+V/4u/gP92f2w/Yb9Wf0r/P780fyk/Hj8UPwq/AL72Puu+4f7YPs4+w/65fq7+pL6bfpL+in6A/nW+aP5bvk6+Qn43Pi1+JD4Zvgz9/r3w/eS92b3PvcW9ur2u/aO9mf2RvYo9gr17vXT9bf1l/V29Vf1OPUY9Pn03PS+9Jz0evRa9D/0I/QC89/zvfOe84DzZPNK8zDzGPMA8ufy0PK68qbylfKI8nzycPJl8lryT/JF8jnyMfIv8i/yLvIs8iryKvIo8ibyKPIt8jLyNvI88kPySvJS8l7ycPKC8pHyn/Kv8sDy0/Lp8wHzGPMx80/zcfOQ86vzyfPt9BT0NvRY9H/0p/TK9Oj1B/Ur9VH1ePWg9cn18PYV9jn2X/aG9rH23fcH9y33Ufd796r32PgC+Cz4WfiI+Lj45vkT+UH5cfmh+c359Pob+kX6b/qX+r/66PsQ+zX7WPt7+5z7ufvW+/j8HvxA/F38e/ye/MP85/0I/SX9P/1b/Xn9lf2s/cX95/4N/i3+R/5j/oT+ov68/tv/Af8n/0j/Zv+H/6b/vv/T/+4ADwAyAFkAfgCeALgA1QD9ASgBTQFvAZYBwgHsAhACNgJjApUCyQL9AzMDaAOXA7wD2gQABDcEcgSaBKYEpwS6BO8FPQWJBboF0AXhBfgGBAX0BdAFrgWaBZQFrAXgBgkF+AXEBbUF1gXVBXEE0QRKA/MDsgN4AzUCwwIfAaUBngG7AWcAswBoAPQBtQG5AOQAAv/AAAQAOP/q/xP9/v0W/KP8j/yS/H78XvxC/CT8Avvp+9z7wvuR+177OfsT+t/6q/qF+l36Gfm9+Vz5APil+En38/eh90z29vai9lT2D/XY9az1ffVD9Qj03PTA9Kr0lvSG9Hr0ZvRD9BTz4vO285PzbvM28u3yqPJ18k/yKvH/8dHxnPFh8SvxDPEK8R7xPPFX8WPxW/FF8R3w1fBk7+Dvbe8j7wPvBe8c7zfvS+9c73Xvk++p77Dvtu/H7+PwBPAv8GTwofDf8SDxZvGr8fDyNfJ58rry9/M083HzrfPl9CD0XPSR9Ln03/UR9VX1o/X29kv2ovb791X3sPgH+FH4kfjS+R/5ePnX+jX6ifrP+w37S/uN+8z8Avws/Fj8kvzX/R39Wv2M/bj94f4J/jf+bv6p/t3/B/8s/1H/df+Z/7//7gAkAF4AmQDRAQYBPQF2AbAB5AINAi0CSgJmAoMCpwLQAvkDHwNEA2kDjgOwA9QD/AQlBEoEbASPBLEEzwTtBRYFTAWGBbYF2gX4BhsGSQaEBscHBgc0B0sHTAdFB0MHTAdcB20HeQeCB4sHmweyB8wH5ggECCgITwhyCJAIsQjeCRAJMwlECV8JtQpeCzUL9AxsDKYMvwzDDJ8MVAwBC9IL2wwPDFUMlgzJDPMNGQ08DVcNbA2HDaINpg2GDVQNJQz0DK8MWQwSC+4L4gvWC8ALoguBC18LPwsdCvUKywqtCqEKpwq4CswK0wrDCqkKnAqWCnsKSgosCj4KXApSClIKIwoXCh0KHgofCiwKPApACjsKNwoyCiUKFAoGCfwJ7AnaCdMJ2QndCdMJuQmRCV8JLwkPCQMI+gjnCMcIoQh9CF4ISQhCCEMIOwggB/cH0we/B7UHoweAB1cHNwciBxAG+QbbBq8GdAY1BggF8wXiBbUFZAT9BJcEPQPtA6MDWgMPAscChQJNAhsB7AG9AYwBWwErAPcAvAB6ADj//P/L/6j/m/+m/7j/t/+V/1n/Ff7c/rf+of6O/m/+RP4T/eL9tP2T/Yz9mv2k/Zj9gP11/Xn9eP1k/Ur9O/0z/SL9Bfzl/MX8pPyH/HX8ZvxI/Bj76vvS+9D71/vj++/75Pu1+3n7WvtY+0z7JvsP+yv7Y/uE+4n7ofvk/DT8avyN/LP81vzc/MD8n/yS/Jn8m/x//Dz77vvM++r8E/v5+4r7BPql+mP6E/mn+Tr42vh8+Br3x/eZ94X3dPdc9z73IPcE9uj2vfZ09gv1mvU69O/0t/SS9ID0c/RU9CTz8/PM857zVfL28pXyQfHw8ZHxEPBc73fuiO297SrsuOxH69rriutl613rWOtJ6y3rCurk6r/qleph6jrqTeqv6zTrjOuS62vrTetE6zXrEurr6tLqv+qm6oXqYOo06fvptulu6SLoz+hz6BDnqedC5t7mf+Ye5bnlT+Tn5H/kFeOq40bi6OKJ4iLhuuFY4QLguOBx4CDfxN9n3xfezt6C3i/d3t2V3VDdDdzM3IzcRdv627fbgNtK2xDa3Nq52pzaetpg2lnaXNpW2kDaHNnl2Z3ZWtk42SvZF9j32OXY59jf2MnYzNkL2WvZuNnV2cPZh9ky2OPYrtiH2GvYgdjv2ZDaGtp12sHbDts920PbRdtU20Ta89qQ2nPap9ru2x3bRNt828HcBtxa3M7dVt3R3jXekN7533vgGOC94VLhzeJA4sTjY+QS5L7lXeXq5mvm7ed46AHofejr6UnpiemY6X/pZOla6UXo/Oid6I3pIupI65rsxO2z7m7u++9u7/fws/GA8h7yevLC8yTzo/Qs9LD1JvWF9dT2Mvaw90H3yfg8+J/48Pks+Vn5gvmr+db6CfpR+qn7AvtW+6z8Cfxl/L39Ff1z/dL+Lv6K/ur/Sf+i//oAWgDEASwBiAHbAi0CgQLaAz8DuQRBBL0FGwVlBbMGEQZ3Bt4HRAevCCEInQkeCZIJ5goqCoIK+At2C+IMSwzKDVANtA3dDeEN6Q4UDmgO1w9LD8gQaxFBEi0S/ROPE9sT5hPRE9UUFBRqFJ4UtRTiFTQVhBW3FdsV8BXpFgQWuxgnGawakBrCGrkawxrYGwkbhxwxHIwcZRwMG7UbGxoXGR8YqxhWF04VrBSnFSkWthgYGMIZChlRGYUZgBljGVwZWxk/GRYZCBkYGSoZNxlHGVQZUBlGGUMZORkXGQEZMRmeGd8ZlBjXGCAX0BfnGCgYaRitGPwZLxj5GD8XZhcOF3kYPBi9GM0YtRiyGLQYnRiCGIAYjBiIGHIYYBhSGD0YKRgmGCsYJxgcGBcYCRfVF4IXRRdAF18XeheGF4sXiBd0F1cXPRcsFx8XDxcBFv0XChclFzEXBhaUFfAVQBSlFDIT7RPFE60TvxQkFLwVERTLFCIToRN6E2YTLBLvEuYS9RLqEuUTLROvE+wTkRLWEjER1xGrEYkRaRFKESMQ9xDUELwQohB/EFYQJg/iD5APSQ8eDv0O0Q6fDncOWg4yDfYNsQ12DUcNGgzqDLwMlgx1DEsMFgvkC8YLtQudC3cLWAtOC0ILGArUCpcKfwqZCugLTAuBC1AK3QqECmwKXwooCeMJ0AnwCgIJ4wmoCW4JNwkBCN4I1wjYCMwIvAixCJgIZQgqCAkIBAf+B+MHugeKB1AHFQbrBtkG0Qa+BqAGgwZsBlkGQgYmBgoF9AXjBdMFwAWsBZoFhQVsBVUFSgVMBVMFVwVYBVQFSAUzBRgE8QS6BHoERgQoBBgECgP+A/cD9QP1A/kEBAQSBB8ELAQ5BEAEQQRABEMERwRMBFoEdASQBKQEtgTNBNsE1ATFBMcE3gTxBPYE/QUPBR4FHwUgBS8FPQU7BTYFRwVkBWwFYQVqBZYFwAW+BZcFcwVmBW8FhAWXBZIFbQVIBUUFXAVkBUoFKwUfBR8FEgT4BOME1gTKBLsEqwSXBHkEUwQwBBcEBAP1A+kD2gPEA6oDkwN7A14DPQMfAwkC9ALbAsECqgKUAnsCZAJRAkACKwIWAgEB6wHRAbQBlgF2AVIBKwEGAOMAwQCgAIAAZQBKAC8AEv/3/9z/wP+g/37/W/84/xX+8P7J/qH+ef5O/iL9+P3P/aX9ef1O/SL89PzF/Jj8b/xJ/CL7+vvU+677h/te+zT7CPrd+rP6jfpp+kb6Ifn3+cf5lPlf+S35Afjd+L34l/hn+C739ffB95X3bvdJ9yH29/bL9qL2fvZe9kD2JfYL9e71zfWs9Yv1avVJ9Sj1C/Tt9Mz0qfSK9G70UvQz9BLz7/PP87Hzl/N/82jzT/M28x7zCfL28uPy0vLD8rfyq/Kf8pTyivJ/8nPyavJl8mPyYPJa8lXyUfJP8lDyU/Ja8l/yY/Jp8m/ydPJ68oTyk/Kj8rLywPLP8t/y8vMI8yHzOfNQ82zzjPOq88Lz3PP99CP0SfRv9JT0uPTZ9Pj1GfU+9WP1iPWv9db1+vYe9kP2aPaO9rT23/cL9zT3W/eG97P33vgH+DH4XviN+Lv46PkV+UT5c/mh+cz59Pod+kb6bvqS+rj64fsL+zD7Uvt1+5f7tvvU+/X8Gvw7/Fn8e/yf/ML84Pz8/Rf9Mv1O/W39iv2h/bb91P33/hr+Ov5b/n3+l/6u/sn+7v8T/zT/Vf92/5T/rf/H/+P//gAaAEAAawCOAKYAvwDkAQ8BNwFeAYgBsgHYAgECMAJkApQCwgLyAyUDWwOYA9UEBQQqBFEEgASiBJ8EgAR3BKcFBwVmBZ4FtwXWBhIGVAZxBlQGDQW7BX4FbwWKBagFrQW2BfQGTQZkBhAFkwU8BQwE2gSeBFkD4wM0AqQCgQJ6AekA2AAxAKIBtwJdAhMBRACKABD/oP8A/i/9Zvzr/NX85fzV/KL8fPxt/FX8KPv/++j7zvui+3T7T/sk+u76wPqq+pj6b/oz+fH5p/lO+PL4nPhI9+r3hvcm9sr2cvYk9eT1qPVo9S/1CfTu9M/0sPSe9Jr0kfR19Ef0F/P08+DzzPOo83bzR/Mi8vvyxfKK8lTyHfHe8aTxifGS8azxxvHT8dDxvfGj8YHxRvDb8E3vx+9u70jvRu9U72Xvc++B75Tvqu+477zvwu/T7+vwB/Ar8FnwjvDG8QbxTPGW8d/yKfJ08rry+PM083Pzs/Py9C/0aPSW9Lj02fUH9UX1j/Xe9i/2f/bN9x33bve9+AX4SPiR+OP5PfmY+fH6RPqR+t37LvuD+8/8Cfw0/GL8nvzo/Tf9fP2z/dz+Af4o/lj+kf7L/v//Kv9Q/3f/nf/E/+wAGABJAH0AtADsASQBWQGOAcIB8wIbAjsCVAJtAosCsALcAwcDLwNVA3gDmwO/A+QEDAQ0BFsEgASjBMME3wT/BSgFWwWPBb0F4gYDBisGXwabBtgHDwc8B1gHXgdRB0IHQAdNB2EHcweEB5QHpQe2B8sH5QgBCB8IPQhcCHkImQi+COMJAQkUCS0JbgnsCpkLQwu/DAkMOQxkDH4MdwxQDCAMBwwUDEUMgwy5DN4M+A0MDSANOg1dDXkNdA1LDR0NAAzkDKoMVwwRC+8L5AvXC8ELpAuEC18LOwsZCvYK0wq1CqUKowquCsIK0wrUCs0KygrECqQKbApMCmAKhAqBCmMKQAo2CjkKOwo9CkcKUQpRCkkKPQosChUKAgn5Ce8J1gm6CbEJvQnGCbYJkQllCTwJFwj1CNkIxAiyCJ8Iigh1CGgIZAhjCFoIQwgfB/gH1ge/B68HnAd/B1wHPQcuBy0HLgcbBuQGjQY6BhEGFQYfBf0FnwUbBJkEMgPiA5oDSgL1AqoCdgJQAiYB7AGqAWsBNwEFAMwAjQBOABf/6P++/5//kf+U/5v/lf96/0n/Cf7K/pr+fP5j/kT+Hf3w/bj9df09/Sz9Qf1Z/Vj9Sf1G/U/9UP0//Sv9IP0X/QD84PzB/Kb8h/xo/FD8Pfwn/Aj76vvS+737q/un+7L7sfuO+1X7Lvsn+yf7GfsO+yD7SPtj+2z7f/ux++78HPw//Gn8k/yg/In8bfxs/Hv8d/xE+/X7u/u8++n8AfvM+1P61vqA+j353flY+ND4YfgD96j3V/ck9w72//bl9sf2sPak9pf2cfYk9bn1SvTs9Kf0dPRR9Dn0HvPx87bzfvNN8xXyxvJm8gzxw/F/8STwlu/Q7uTt/e1B7LnsTevq65DrVes/6zvrMesZ6vrq2Oqw6nzqP+oN6gbqQuq56zjrfut460zrKusf6xHq7+rG6qnqlep96lzqOeoV6eTpoulW6QzoxOhz6BLnpuc75tnmfOYb5bTlSeTi5H3kFuOt40ri7OKM4iThu+FZ4QPgteBn4BHftd9b3wfet95i3g3dvd113TLc8dy13HrcN9vw26/bd9tA2wba1tq02pPabtpS2k7aV9pV2kHaGtnc2YvZRdkm2SPZGNj92OjY4djV2MDYvdji2SPZZtmZ2abZbdj22IDYPdgk2BvYQNi12V7Z9Npj2tLbQdt6227bWdtk21vbBdqL2lbagtrL2vfbGNtR25vb4twz3KbdMt223iHegt7t32zgAuCl4T7hweI44r3jW+QD5KflQeXW5mrnAeeZ6Cvorekc6XrpvunU6bjphulY6Sno3uiI6Hjo/+oe637swe287nTvAe+G8Cfw6vGq8jfyj/Le80fzxvRI9Mj1RPWy9hD2bvbg92H34/hb+Mn5Jflm+ZT5wfnw+h76T/qR+uf7Q/uX++f8O/yT/Or9Qf2f/gD+YP6+/yD/iP/tAEwAqAEJAW0BygIfAnECyQMmA4oD/AR9BPgFWgWkBecGNAaJBucHUgfFCD0IuQk1CaUKAApSCrgLNAusDBIMewz4DWwNrQ23DbENzA4hDqwPTA/aEE4Q0hGMEmgTKxOtE/QUFhQoFEEUaxSVFK8U0BUVFWsVoBWvFcYV9BYrFo4XeBjmGkIa7hr0GskaqhqSGqYbJBvbHEUcNhwEG9MbPhoVGPIYbhghFyQVhBSAFQ8WsBgnGN8ZLhl5GbEZtBmgGZ0Zmxl9GVUZSRlZGWoZdRmAGYUZfxl8GX4ZbRlFGUcZsxpSGoIZ6BjcGBEX3RgBGB4YGRgVGCgYNhgVF8YXixeuGCgYpBjXGM4YxxjVGNAYqxiMGI0YmxibGJgYoxiqGJIYZxhJGD4YMxgqGDIYOxghF+MXrRebF5MXdxdYF1YXbheDF4UXeBdfFzcXDhb7Fv8W/xbnFscWshaWFj8VkxTKFEIUGxQaFAYUDBSEFVIVyhVzFJoT8xO/E6gTahMrEx8TIhMDEvUTURP3FFAT+xM4EocSIBHhEaYRdRFdEVgRXhFjEVURJRDdEJcQXBAeD9MPiQ9ODxsO5w62DpcOhA5mDjEN8w28DZENZg00DP4MzwynDH4MTAwXC+oLzQu2C6ILkAt+C1kLGwrMCoAKSQpKCqILOwuyC6sLNgq+CoYKbAo3CfIJ2An8CjcKWApOChcJwQlpCS8JDwjzCNMIwQi8CKkIeQhGCC0IJAgPB+gHvAeOB1MHEAbfBs4G0AbMBrcGlwZ3Bl4GTQY8BicGEAX9BewF2QXFBbEFmgV+BWUFXAVkBXEFfQWIBY0FhQVtBUoFGwTgBJ0EYwQ+BCgEGgQSBA8EDAQGBAMECwQbBCwEOQRABEEEPgRABEcETAROBFYEbQSIBJwErQTEBNMEzgS+BL4E0wTrBPgFAgUUBSQFKgUwBT0FSgVOBVQFYAViBVAFSAVsBa4F1AW9BYoFagVtBYcFrgXRBdIFpgVxBWEFcQV3BV4FQgU7BTsFKQUKBPIE6ATgBNcEzgTCBKYEfgRXBD0ELQQfBBAD/gPoA9EDvQOoA4sDaQNKAzEDGwMBAucCzwK3Ap4ChgJyAl8CTAI6AigCFAH5AdsBvQGeAXwBVgExAQ4A7QDNAK4AkABzAFYAOQAdAAH/4//B/53/ev9Y/zT/D/7p/sL+mf5v/kT+Gv3w/cX9nP1z/Uj9Gfzo/Lv8kPxm/Dz8FPvw+877q/uF+1z7MfsE+tr6tPqO+mb6PfoT+eX5s/l/+U75JPkA+OD4v/iV+GH4Kff198n3o/d/91n3MvcI9uD2uvaX9nf2W/Y/9iH1//Xc9bn1lvVy9U/1MfUU9Pf02PS69J70gfRj9ET0JPQF8+fzzPO1853zhPNs81bzQ/My8yHzD/L/8vLy5/Ld8tHyxfK58q3ypPKe8pnyk/KL8oPyfPJ68n7yhvKO8pPylfKY8pvynvKj8qzyuPLF8tHy3vLs8vzzDvMl80HzW/Ny84rzpfPB89nz8PQP9DT0XfSF9Kn0yvTo9Qn1LvVT9Xb1m/XA9eT2BfYn9k32dPaZ9r725vcR9zr3Y/eN97n34vgK+Db4Y/iQ+Lv45/kU+UH5bvmZ+cT57foY+kT6bfqQ+rX63vsH+yr7Svts+5D7sfvR+/L8FPwy/FD8dPya/Lv81fzu/Qr9Jf1A/V79fP2W/a79yf3p/gn+Kv5N/m7+i/6l/sT+5/8G/yP/QP9e/3f/j/+v/9T/8gAKACoAUwB5AJUAsgDVAPsBIQFMAXwBpgHLAfQCJwJaAocCtQLnAxUDQQN8A8sEFAREBGYEjQSoBJUEWwQ0BFAEqQULBUwFbwWZBecGRgZ/BmUF/wWABR4E9AT2BQgFKAV7BhAGpAbLBncGDQXsBgMGDQXxBaoFHARHA4cDNAMCAkoBDgA1AJEB3wMOA0oCiQFA/+/+5v48/dD9gf1R/UD9Lvz5/Ln8m/ya/If8Vvwk/AT74vuy+4T7X/s4+w/6+fr7+vj63vq4+pT6YfoT+bT5Ufjk+Gj37Pd/9xr2uPZg9hv12/WY9WH1QPUn9QL02vTH9Mr0yvS19I30YvRA9Cj0EvP289fzwPOt84nzTPMK8tnyr/J88kbyJ/Im8jPyQPJH8kLyKvIH8eHxqPFA8K/wIu/I76Xvou+n76vvse+678jv1u/d79/v4+/v8ATwH/BD8Gzwl/DF8PzxQPGI8dLyHvJs8rPy8PMr82vzr/Px9C70Y/SO9LP02vUO9U/1l/Xl9jP2ffbC9wf3Ufec9+T4Lvh8+M/5Ifly+cL6Evpg+rH7DPtr+8D8Avw4/Gz8qPzu/Tr9hP3B/fD+GP5E/nz+u/74/y7/Xv+N/7v/6AAUAEAAbgCaAMQA8AEhAVQBhAGtAdYB/wInAkoCZgKBAqECyQL1AyMDTQNzA5YDuAPfBAkENARbBIMEqwTRBPAFCwUrBVMFfQWiBcUF5wYPBkAGeAarBtEG6wcDBx8HNwdAB0AHQwdNB1wHbgeEB5wHrge6B8cH2gfyCAwIKAhFCGMIfQiTCKgIvgjVCPEJHAlpCd4KaQrnC0gLmAvpDD0MewyODHYMTgw2DD8MYgyKDKkMvgzODOEM/g0iDTkNKwz9DNAMugyqDH8MPQwGC+0L5QvXC8ELpQuCC1cLKwsHCusK0gq9Cq8KqgqwCsQK2wrpCusK6QrfCroKfwpYCmEKgAqEClUKSApKClAKUQpRClIKUQpFCjEKGgn/CeMJ0gnLCb4JoQmACXIJeQl9CWwJSQklCQUI4wjBCKgInwihCKAIlAiCCHYIcwhvCF8IQwggB/sH2Ae6B6gHogeeB5IHfQdnB1kHUAc4BvkGlwY6Bg0GFAYgBf8FogUiBKUEQgPwA54DPgLdApMCaQJPAiUB3gGIAToA+gC/AH0AOf///9T/sf+Q/3P/Yf9a/1X/TP84/xb+4f6l/nP+Uv43/hb99f3U/aX9Xv0V/O788P0A/QH8+vz9/Qr9D/0I/QH8/vz2/N/8w/ys/Jf8evxW/DT8GvwH+/n77vve+777lvt9+3/7iPt5+0/7IvsM+wr7CfsI+xX7MPtG+1L7YfuF+7L71/vx/BL8OPxI/Db8Hvwi/Db8K/vu+6T7hvuj+9L71vuU+yL6rfpM+e/5evjv+Gz4Bfet91D28/ay9pn2lPaF9mf2SvY69ir2AfW19VT08vSf9F30LPQE8+DztfN+80HzBvLM8oryNvHW8X3xN/D68KfwHe9Z7nXtmOzh7FTr6uuZ61zrN+sm6xzrC+rw6s/qq+p86j/qB+nz6hjqcOrc6zXrYetb6znrG+sL6vvq2+qv6ofqZ+pK6irqDOnt6cPphek96Prou+hx6BLnpOc45tbmduYS5anlQeTe5H7kGeOy40/i7+KN4iXhvuFe4QjgtOBd4ATfrd9a3wberd5R3fndqd1h3Rzc29yg3GjcKdvp263bdds82wPa1tqz2o3aYNpC2kDaT9pV2kXaH9nc2YPZNNkR2RHZDtj32NzYy9i82KzYqNi32NTY/dkw2UjZENiL2AzX09fS193YCdh92SfZxtpM2t7bcdu926fbedtv21va+Npv2i3aWNqm2tXa9dsv233byNwZ3IzdGd2h3hLeed7m32Df7uCN4SjhruIm4qzjSePv5IzlJOXC5mnnE+e46FDo1elC6Z3p4+oC6evpqula6Q3ow+iH6I7pFeoi63bstu2v7mXu+++Z8FPxIfHZ8lrysfMH83bz8vRt9Of1aPXo9ln2vvci94z3+/hw+Ob5T/mb+dH6BPo8+nL6pPrf+y37hfvX/CD8bPy+/RP9aP3B/iH+g/7j/0f/twAqAJMA8AFNAa8CEQJsAsQDIgOEA+YETgTDBTkFnQXkBh0GXAasBw0HegfpCFUIwwk4CaoKDwp0Cu0LcgvnDEMMnQz/DUoNZA1lDYAN2A5rDyYP5BB5EN4RRBHeEqATSROzE/IUKRReFIkUpxS6FM4U+xVGFYwVphWoFdEWOBbCF28YaBmbGpIa7BrHGn0aORoLGjYa6BvFHDMcGRviG60bCRnLGJAX7heAFnMU7hQlFOsWqxgyGPkZVBmiGdsZ5RneGeEZ3Bm6GZIZhBmNGZUZmBmeGaIZoRmoGbUZrRmSGakaIxqvGqsZ4BjXGEUYThh+GGcYDxe+F5wXmRegF7gX8xhSGLEY5hjpGOEY7hj/GPAYxhiqGKgYpBiRGIkYnxi0GKMYdxhbGFUYThhEGEYYUBhFGCIYARfuF88XlhdlF18XfBeVF5gXihdqFzYXABbpFu0W5Ra9FpYWnBayFn0VzBTpFFgURRRaFEgURxTDFZ8WJBXUFQAUXRQiE/oTqRNhE1ITTRMgEwQTUxPwFEkUAxNbEsUSZxIcEc4RlhGTEcYSEBJGEjgR1hFIEM8QiBBZEBwP0A+HD0oPFA7lDsIOrA6QDmMOKA3tDbwNkg1lDTAM+QzLDKgMhAxVDB0L6wvMC8ILvQuoC3ULMArsCqoKaApDCnIK9AtwC38LHAqkCmIKSAohCesJ1Qn/ClIKmwqqCnYKGAm/CYEJTwkTCNsIvgi5CKgIgQhaCEQIMQgOB98HrQd2BzQG+AbZBtcG3wbcBsoGrQaKBm0GXQZTBkMGLAYXBgQF8gXfBc0FugWiBYsFhAWPBaEFtAXDBckFuwWaBW8FPgUDBL4EgARVBEAEOAQ3BDYELQQdBBEEFQQmBDkERwRMBEkEQwRCBEcESgRIBE4EYwR+BJEEnwSvBL4EvwS3BLkE0ATvBQcFGAUoBTMFOQVABUkFUgVcBW4FhQWKBXgFbQWHBa8FtQWQBWgFZAV/BaoF3QYJBgwF3AWkBZcFsgW+BaUFhAV3BW8FVgUwBRcFDQUGBPsE8wTrBNQErgSGBGwEWwRJBDUEIAQLA/gD5gPRA7YDlQN0A1cDPAMiAwgC7wLYAsECrAKZAoUCcAJcAksCOAIfAgIB4wHEAaMBfwFaATYBFQD3ANkAvACdAH8AYgBGACcABf/h/73/mv93/1P/Lf8I/uH+uf6P/mX+O/4R/ef9v/2Y/W79P/0P/OL8tvyI/Fj8LvwK++r7yfun+4H7V/sq+wH63Pq1+or6Xfov+gH50Pme+W/5RPkd+Pv43Pi4+Iv4WPgo9/732fez9433Zvc+9xj29PbS9rH2k/Z19lX2MvYN9en1xvWj9YD1YPVE9Sn1D/Ty9NT0tfSX9Hv0XvRA9CL0BvPr89LzufOh84rzd/Nn81jzR/M18ynzIPMX8wry+/Lt8uPy2/LU8s/yyfLA8rfyr/Kt8rLyu/LE8sfyxfLD8sPyx/LO8tjy4/Ls8vXy//MN8xvzK/NB81vzdfOM86HzuvPW8/H0C/Qn9Er0cvSa9L/04PUA9ST1S/Vx9ZT1uPXb9fv2F/Y19ln2f/aj9sj27vcV9zv3YveN97n34/gN+Dr4aPiS+Lr45vkT+UD5afmT+b355voS+kD6avqP+rP62vsC+yX7RPtm+4r7rPvN++/8Dvwp/EX8aPyO/Kz8xfzg/P79Gv0y/Uv9aP2F/aH9v/3g/gD+Hv48/lz+ev6b/sD+4v78/xT/MP9M/2D/dP+U/73/4P/6ABgAPABgAIEApgDOAPIBFAE/AXIBoAHGAe8CHwJJAm0CmwLVAwYDKQNdA7AEBAQ5BFoEfwSaBIUERAQQBBgEWASoBOQFAQUaBUwFmQXRBcEFagUBBLsEnwSSBIgEoAUUBegGuAcEBrsGWwZhBsYHLAdMBxEGbQVyBHcD0gNVAoMBXgCiAQUCXQPEBFcDvAIrAEn+0P4d/fT95P23/X/9TP0U/OD8xfy8/Kj8g/xf/Dz8B/vE+4z7aftT+0/7Zft/+3X7R/sc+wv6+frI+nb6Bvl2+NP4P/fM92v3Dfa99oD2QfX29bb1k/V89Vb1KPUQ9RD1DfT19M/0qPSE9Gb0TfQ19B70D/QC8+TzqvNw807zPPMf8vXy0vK+8rHyqvKs8q7ynfJ68lHyFvGv8RvwivAv8A/wC/AI8AHv/e//8AXwDfAS8BLwE/AZ8CjwRPBr8JXwufDc8QnxRPGG8cvyE/Jd8qPy4PMc813zovPl9CH0VfSB9K304vUh9Wf1r/X79kj2kPbS9xb3X/eq9/P4P/iP+N75J/lv+bz6C/pZ+qj6//ta+7D7+vw+/H78uvz2/Tn9g/3K/gX+OP5w/rL++f85/3H/p//dABEAQABtAJ4A0gEAASYBSAFvAZoBwgHjAgICJgJNAnACjwKtAtAC+gMoA1cDggOnA8YD5AQKBDcEYwSHBKoE0gT4BRQFLQVMBXUFnAW5BdMF8wYfBlgGkwa/Bs0GxAa+BtAG9QcaBzEHPwdIB1IHYgd4B48HnweoB7IHxAfaB/IIDAgoCEMIWQhmCHEIgQibCLcI0AjyCTIJlgoOCn0K3wtEC7YMJQx1DJAMfwxbDEAMOwxGDFoMcAyIDKEMvAzXDOEMzgyjDHwMawxiDEcMHAv4C+kL4gvUC74LoQt6C0cLFQrwCtwK0ArICsEKvQrACtAK5wr3CvkK8wrkCsEKiwpeClMKXwpjCj8KQQpOClsKYApdClUKQwokCf4J3Am+CaYJlwmOCX8JYwlBCSoJHgkUCQII6wjTCLkIlwh4CGwIewiZCKsIpQiPCHkIawhiCFUIQwgqCAgH4gfEB7sHxAfTB9QHwAeYB2wHSAciBucGkQY6BgYF9QXmBbcFZAUEBKsEWgQHA6UDOwLYApMCawJMAhgBxAFiAQYAugBxACX/2/+j/4D/Y/9D/yH/Cf77/vT+7v7l/s7+pf5x/kb+Kf4N/ez9zv26/Z39X/0N/Mn8pvya/JL8kfyc/K38t/y8/Mf81PzU/MX8s/yk/JH8cvxK/CP8Avvq++D74fve+8T7l/tv+2P7bfty+1v7MPsJ+vX68vr2+wT7H/s7+0r7Uftk+4X7ofuu+7z71Pvm+9/7z/vT+977yfuM+1j7XPuN+7H7n/tY+vP6ffn9+Xj48vhy+AT3qPdP9uX2dPYj9gz2GPYc9gT14PXC9ab1ePU29Oj0mvRR9BHz3POt833zSPMQ8tfynPJa8g/xuPFb8QTwvfCB8DPvtO8A7jDtYOyj7Ajrm+td6z7rKOsU6wLq8OrV6q7qf+pK6hnqAeob6mTqvOsA6ybrOes86y3rFOr86ubqx+qZ6mXqOuoZ6fvp3em+6ZfpZOkp6O7osOhm6Annoec75tjmdOYM5aPlP+Th5ILkIOO541Xi9OKR4ivhxuFn4Q3gsuBW3/3frN9e3wjeqt5J3fHdo91a3RPc0dyW3FvcHNve26bbcds32v7a0tqu2oPaUdov2i/aQ9pP2knaK9nq2YrZL9kA2PvY+tjl2MfYr9id2JDYjdiP2I/Yldis2LfYgNgJ16PXideg17bX39hN2PfZoNo12trbgdva28fbjNtq2z7ayto52ffaJtp72rDa1NsQ22HbsNwF3HjdBN2N3gXedt7o32Hf6eCD4Rrhm+IQ4pfjOePi5H/lF+W75mvnHufL6Gno8+lm6cXqD+o26iTp2uly6RHozOiv6NTpV+o+62Psh+1/7kTu8u+r8H3xU/II8oLy1fMq85j0FfSR9Q71kvYc9pv3Cfdp98X4JviR+Qf5d/nR+hT6T/qO+sr6/fsx+3b7y/wd/GP8p/z0/Ub9lf3j/jn+mv7+/2j/3wBfANcBOwGVAfQCVgK0AxMDegPjBEYEpQUMBXoF2wYfBlMGkQbnB1MHwwgnCIAI3wlNCcAKLgqgCyULsAwfDGkMpgzfDQQNDw0pDYMOIg7pD7kQdhECEVsRsRI3EtwTYROqE9sUIRRxFK4UyxTcFPUVIhVbFYgVnxXEFisW3he3GJQZbxoyGqMapRpbGfYZlRl0GfAbDRwrHJUcTRvbG24aqBlnGDAXZhakFV8T+xOaFL4Wphg2GQsZexnRGgYaEBoPGhYaDhnqGcMZtBmzGbEZrxm2Gb8ZxhnXGfEZ+hnwGgAaQBptGiAZWhioGIYY2hkXGOoYexgbF/EX7RgFGDwYiRjRGPgY/BjzGPgZCxkSGPsY1xjDGL0YqRiDGG0YehiMGIQYbhhtGH8YhRh2GGUYWxhMGDYYJhgbF/0XxheWF4oXlReaF5AXfxdhFy8W+RbcFtoW0ha0Fp8WthbWFqUV+BUbFIsUchSDFHQUbhTJFXEV1hWZFQMUnRR7FEsT7BObE4cTfRNKExsTQhOuE+4TvhNMEuoSpBJbEg0R4RH8ElwS2BMqEw0ScRGcEPoQtBCcEG4QGg/AD34PTw8iDvUO0g6zDooOTw4LDdINrA2NDWENJgzsDMIMpgyEDFAMEwvmC9UL0Au6C4cLSgsaCu4KsApuCloKjQrTCt4KngpRCisKIwoOCeMJxAnUChIKVwp3ClwKGgnYCaMJbQkpCOwIygi8CKgIhQhiCEUIJwgIB+kHugduBxMG2QbWBu8G+wbwBtsGwQaiBoIGbgZiBlIGOwYmBhYGBwX3BeoF3wXPBb4FuAXDBdgF7QX9Bf4F5gW8BY0FXwUpBOYEpAR2BGMEYwRqBGkEWQQ8BCcEJwQ3BEkEVgRbBFoEUwRNBEoERwRCBEUEWARzBIcEkQSbBKoEtAS3BMAE2QT8BRsFMAU8BUEFQgVGBUwFUgVeBXkFnQWyBa0FoAWdBZoFgwVkBV0FeAWjBdIGBgYxBi8F9QW5BbQF3AX1BeMFxQW2BasFjgVmBU4FRgU7BScFFgUNBP0E3wS8BKAEiwRzBFsERQQzBCAEDAP2A94DwQOhA4EDYwNHAysDEQL3AuECzwK/AqsCkgJ5AmUCVAJAAiYCCAHqAcoBqAGDAV0BOQEaAP4A4QDFAKgAiwBtAEoAJQAA/93/uv+W/3L/Tf8p/wT+3P6y/oj+Xv40/gr94/28/ZL9ZP04/Q/84/yy/H/8U/wu/Av76PvE+6D7d/tL+yL6/vrY+q36f/pQ+iH58PnA+ZT5aPk9+Rb49fjU+K34gfhW+DD4DPfm9733lvdx9073LvcO9u72z/aw9pD2bvZJ9if2CPXo9cb1o/WD9Wf1TfUx9RL08fTS9LX0mvR99F/0P/Qh9Abz7vPV87zzpvOV84fzdvNl81jzUPNH8zrzKvMc8xLzC/MG8wHy/fL28u7y5/Lj8uby7fLz8vPy7fLo8ujy7fL38wPzDvMW8x3zJvMy8z/zTfNe83Tzi/Of87TzzvPt9Az0KPRD9GP0h/St9NT0+PUd9UT1bPWR9bT11/X49hT2LPZI9mr2jfav9tL29/ca9z33YveO97v35fgQ+D74bPiU+Lv45/kW+UL5avmT+bz55PoM+jj6ZPqK+q360/r6+x37Pvth+4X7pvvG++j8CPwi/Dz8XfyA/J38tfzR/PH9Dv0k/Tr9VP1w/Y79sP3V/ff+Ff4x/k7+bf6Q/rX+1f7s/wL/IP8//1X/Zv+B/6b/yP/mAAYAKQBIAGgAlADFAO4BDwE5AW0BmwHBAesCGAI6AlUCggLBAvgDHgNPA54D6gQVBDAEVgR2BG4EQQQfBCYEUASFBK0EtAShBJcEsQTTBNIErASPBJgEqwSdBGwEUgSiBXMGbgb9BuwGpgbHB2kIHwh2CEsHqAaqBYgEfQOPApgBtAFYAeADHgRyBS0E0wNWAT7/cf6B/kL+Iv3Z/Yr9XP1D/SL8+fzV/Lv8qvyY/G/8I/vM+477dft9+6j76/wQ++r7lPtY+1P7X/tK+wj6k/nq+Sz4jvgm99X3hPc+9wj2xvZr9hv19fXj9b71iPVj9Vb1R/Uo9QD01vSu9I70fPRt9Ff0QfQv9BXz5vO486HznPOO83DzUPM08xfzAvL+8wbzAfLp8snymPI38aXxEPCu8Ifwe/Bv8GDwU/BI8ELwQfBC8ELwQ/BH8FTwbvCU8L3w3/D+8STxVvGQ8czyDPJP8pHyz/MN81DzlvPa9Bb0TfR/9LT09PU69YH1xvYO9lj2n/bj9yr3d/fD+Az4Vvik+PD5NPl4+cX6GPpo+rT7BPtX+6n7+PxI/JT81v0N/Un9k/3i/ir+av6u/vn/RP+E/7r/8AAoAF0AiACwAOEBGgFRAXsBnQG9AeACAgIgAkACYgKGAqYCwgLhAwYDMwNiA5ADuQPbA/MECgQsBFgEggSgBLwE3QT/BRYFKAVEBXEFoQXIBecGCQY2Bm0GpgbOBtMGuQagBqcG0AcAByUHOQdDB0wHWQdqB3oHhAeMB5gHqwe/B9EH5Af7CBQIKQg2CD8ITghpCIkIngiqCMQJAgleCb4KFgpyCuILZAveDDUMWAxODC4MEAwCDAcMHQw+DGAMegyIDIYMdQxYDEEMNwwzDCEMAgvmC9cLzwvFC7MLmAtuCzgLAwrgCtIK0ArSCtEKzQrMCtcK6gr4CvkK8AriCskKnwp0ClkKTgpGCjcKNwpGClkKZgplClQKMAn9CccJmwl7CWUJVglLCT0JKAkKCOUIwQigCIgIeQhsCFkIPwgsCDIIVwiJCKoIqQiPCG8IWAhPCFIIWAhQCDUIEwgBCAMICggHB/IHzgeZB1sHIgbwBr0GfAY4Bf4FzQWWBVAFCATMBJgEWgQGA58DNwLgAqECcgJCAf8BpQE+ANwAhAAy/9//j/9S/yv/Cv7j/rf+lv6H/of+jf6P/oT+Z/4//h7+Bv3s/cr9rf2e/Yz9XP0K/LH8avw7/Cb8Kvw+/FL8Xfxu/I38rfy5/LP8qPyc/If8ZPw7/BP77PvJ+7X7tvu++7X7lPts+1b7Wvtn+2L7PvsO+uv63fre+u/7E/s8+1D7TvtR+2j7gPuD+3/7jful+6z7nvuS+4j7afs4+yP7SPt/+4n7V/sD+qL6J/mN+O74Z/f695r3P/bb9mP14vWG9W/1ivWg9ZX1dPVR9S71APTJ9I/0UvQP88nzi/NT8xzy5fKy8oHyRPH48aTxTvD68KvwZfAk79DvUu6t7fXtOOx869XrZ+s76zLrI+sH6vDq4OrF6pDqUuok6hnqNep06sPq/usT6xLrF+sm6yTrCOri6sLqpep76kfqGen36drpt+mR6WrpQukV6ODooOhT5/znoedC5t7mdeYM5ajlSOTp5InkJ+PC417i/OKa4jjh1OFz4RLgs+BU3/zfrd9e3wTeot5C3e7do91a3RTc1NyX3FTcDdvM25jbZ9su2vTaxdqe2nDaP9og2iHaNdpE2kjaNtn72ZbZL9j02OjY5tjT2LXYm9iH2HrYdthz2GTYTdhB2DPX/dek12LXYteC15fXudgk2NDZgdoc2rzbWduy26fbbds52vLacdnm2bHZ59o/2nvaqdrs20Hbldvu3GLc69113fbecd7s32jf8eCI4Rnhk+IF4o7jNuPk5IXlHeW/5m7nIefS6HnpD+mQ6f3qT+p36mPqFOmk6Tzo/+j86TfpqepS6y7sLO0v7hzu8e/A8Jnxb/Ij8p7y7vM786L0IvSs9Tb1wfZM9sz3Pvej+AP4YvjG+TL5oPoE+lj6oPrk+yD7UvuE+8b8Gvxs/K/87P0z/YP9zf4O/lj+tf8f/48ACwCUARgBhwHiAjkClQL0A1kDyQQ6BKAE+QVVBbgGEwZYBpEG1gc3B6sIGwh2CMIJFwl/CfMKZArdC2UL6wxKDHkMlAyxDM8M9g1HDd8OqA96EDsQ4xFhEbcSERKUEykTjhOzE88UFRR1FL8U5RUAFSIVRxVlFYMVuBYmFuIX3BjjGcAaTRp/GmUaJRnbGYAZIBkeGesbZhy4HSQcvBwPG1kabBlGGDcXSBYHFFMS9RL/FIoWmRgrGQ0Zlxn8GjEaOBo3GjwaMhoRGe8Z3hnVGcoZxxnQGd4Z7RoFGigaQhpDGjEaFBnPGUwYuhh8GL4ZORl8GWEZHRjtGNoY1BjZGPEZERkhGRoZCxkJGRIZGhkPGPQY2RjKGMAYqxiNGHoYfBiDGIEYhhifGMEYzRi4GJYYdRhXGEEYNxgyGB0X8RfEF6gXmxeOF4EXdBdeFzUXBxbpFt8W1RbDFrkWxxbUFqoWLRWGFQQUyxS4FJ8UkBS4FQkVMxUJFL4UmxSTFGgUDxPHE7QTqRN3EzwTNhNiE4ATZxMxEv8S0BKXEmESTxJ4EtgTTxOYE2YSqhG5EQ4Q2RDbELgQXg/8D70Plg9pDy4O+A7RDqkObg4kDeYNxA2zDZYNXQ0VDNsMuQyeDHUMOwwDC+IL0Au3C4oLVgsvCxAK4AqaCloKPQo9Cj4KNgoyCjkKOgoeCecJsAmWCakJ4AoZCi4KEAnTCZEJVgkmCQII6AjPCLEIkAhqCD4IGQgRCBwIAweeBxkGygbVBwUHGQcGBuoG0QazBpEGdwZkBlEGOQYnBh0GEwYHBf8F+gXzBeoF6QX1BggGGwYnBiEGBAXWBagFfwVQBRIEzwSdBIkEjgSbBJwEhQRgBEUEQwRSBGAEaARuBG8EawRhBFcETgRHBEgEVgRuBIEEjQSXBKYEtgTCBM8E5gUFBSEFNgVBBUYFSAVKBU0FUQVbBXQFmgW8BcgFvQWlBYgFcgVxBY4FtwXXBfMGGwZBBjoF/QW9BbUF3gX+BfoF6QXiBdoFvQWZBYYFgwV2BVkFPAUtBSEFCgTsBNAEtgSdBIQEcARfBEsEMwQcBAYD7wPUA7YDlwN6A1wDPAMcAwAC6wLbAscCrgKSAnwCagJaAkYCLQIRAfMB0gGsAYIBWQE3ARsBAQDnAMwAsACQAGoAQwAd//n/1v+z/5D/bv9N/yv/Bf7c/rH+h/5c/jH+CP3f/bP9h/1e/Tn9Evzj/LH8hvxf/Df8Dfvl+7/7lvtp+z/7G/r2+s36ofp0+kX6Ffnn+bz5kvll+Tn5FPjz+M/4qfiE+GL4QPgb9/T3zfep94j3afdL9yv3C/bs9s72rvaN9m72U/Y29hT17vXJ9an1jfVy9VP1M/US9PL01fS29Jf0dvRW9Dv0JPQM8/Hz1/PD87TzpfOT84PzePNv82PzVPNH8z3zNvMw8y3zK/Mo8yPzHPMX8xXzF/MZ8xbzD/MJ8wnzD/Ma8yfzM/M880PzTPNZ82bzcvOA85LzpfO388zz6fQK9Cn0RfRf9Hz0nfTB9Oj1EfU69WL1h/Wp9cr17fYM9ib2P/Zd9n72nva89t33Avck90X3a/eY98T36/gU+EH4bviW+L346vkZ+UP5afmS+bz54voG+jD6W/qB+qT6yfrw+xT7Nvtb+3/7nvu7+9v7/fwZ/DT8VPx1/JH8qPzC/OH8/P0V/S79Sf1k/X/9oP3G/er+Cf4n/kb+Y/6C/qP+wf7X/uv/CP8p/0P/WP9z/5P/sf/P//QAGQA2AFMAfwC3AOUBCgE0AWYBkAGyAdoCCgIvAksCdgK0AuwDFwNNA5cD1QPyBAQEJgRHBEwEPwRABFoEfgSlBMAEtQR+BEYENwRHBFAEVQR8BMYFAAT5BLAEXQRWBOIF4QbDBxIHAgc5B/kI1glBCRUIhQewBo8FMgPQArECGAIvAusEBwUmBeIFwgR4AlQAPf7z/nL+NP3k/Z79h/2F/Wj9LPzv/M38wfyt/HT8GvvG+5n7mfvC/BT8cfyP/Ev73vuk+637vPue+1L62Pot+XD43viL+E/4C/fJ95H3Rfbd9oP2WvZK9iL14/Ww9ZX1fPVa9S/0/vTM9Kz0pfSj9I70bvRX9EL0HvPy89XzyvO786HzhvNx81nzQ/M+80bzR/M78y3zEPLH8kfxuvFQ8Rbw9/De8MbwrPCS8HvwbfBn8GbwavB08ITwm/C68N3xAPEg8UXxc/Gl8dnyEPJL8obyw/MD80nzkPPU9BX0UvSM9Mn1DfVT9Zb11vYZ9mD2pPbn9zD3gPfN+BH4V/ik+O/5Mvlz+b76Evpl+rT7BPtW+6X79PxJ/J/86f0m/WP9rf3+/kz+lf7h/zH/ff+6/+0AIgBbAJAAtwDZAQQBPQF5AasB0AHuAgoCKAJJAm0CkgKyAswC5AMCAysDWgOKA7QD1wPxBAIEFAQyBF0EhgShBLcE1ATzBQUFDQUgBU0FiwXGBfYGIAZIBnIGngbBBssGuQalBq0G1AcDBycHOgdFB00HVgdgB2YHagdxB38HkQefB6kHtwfLB+MH+QgJCBQIIgg9CGEIfwiOCJoIuAjuCSsJZwmqCgUKewr+C3YLzgv3C/gL5QvRC8sL2Av4DB8MPAxFDEAMNQwsDCUMJAwgDA8L7gvLC7QLrQurC6ILiQteCygK9grWCswKzwrTCtIKzQrMCtYK5QrxCvEK6QrgCtEKugqaCnsKXgpGCj4KMwo7CkwKVwpPCi0J9gm0CXUJQAkYCPkI5AjZCNgI1AjCCJoIZAgyCA4H+wfzB+4H6QfsCAYIOgh0CJgImAh/CGEITQhMCGEIfQiICHoIaghqCG4IVwgdB9gHnQdsBzQG9Qa5BoMGTwYaBeAFnQVNBPoEuASNBGgEMwPkA4YDLQLiAqUCbAIuAeMBiQEiALsAXAAF/7D/Wv8P/tj+rP57/kb+IP4U/h7+MP49/j3+LP4Q/fX93f3B/Z/9g/11/Wb9Qvz+/KT8SfwA+9z74Pv4/Ar8FPws/Fz8ivye/Jr8kvyK/HX8UPwm+/770vul+4f7gvuM+477fPtd+0P7QPtO+1L7OvsP+uv61/rR+tz7Avsz+0z7Rfs9+077Yvtf+1P7Y/uJ+5n7fvtU+zT7F/r/+wr7PPtk+0n67/qH+iL5qPkP+Hb3/Peb9z723PZy9fj1dvUT9PX1DvUt9S31FPTz9M30nvRu9EH0DvPL837zNvL38r3yifJd8i/x7/GZ8T7w7vCo8GbwJO/X723u3O457Zvs/+xZ67rrUOsv6zHrJOsB6ufq2uq56nXqMOoc6kfqk+re6w/rH+sT6wXrDusi6yDq+erC6pnqfepc6jDqBenj6cLpmOlp6UDpH+j76Mroieg/5/TnpedL5uPmeOYS5bLlUuTv5IzkK+PJ42TjAeKj4kXh5OF+4RnguOBa4APfsd9b3v7em94+3e7dpd1d3Rnc3Nye3FPcAdu724jbXNsl2ujastqF2lnaL9oY2hnaJ9o12kHaO9oF2ZvZKtjo2NvY29jJ2KzYkth92GzYY9hf2E/YL9gP1/DXwNd+107XSNda12bXidfy2J7ZUNnn2nTa9Ns/2zrbBtrF2mzZ79l+2WTZo9n52jradNrD2x/bd9vV3Erc091d3ePeZt7m32jf9uCP4R3hleII4pfjQuPx5JDlJ+XD5mznH+fW6IjpKum66jbqkOq06prqTOni6X/pS+lg6a3qCupr6vLryOzh7gXvBO/e8K3xefIs8rDzCPNR8630KvTA9V719PZ99vf3Z/fS+Dr4oPkC+WX5zfo4+pv68vs++3/7tfvo/Cj8ePzI/QT9N/11/cL+C/5G/of+4P9N/8IAPgDIAVQBzQIrAn4C1QM0A58EFQSMBPQFSgWdBfYGTAaXBtwHLgeTCAMIaQi9CQUJVQm5CiwKowsfC6AMEgxWDGwMdgyVDNUNOA3KDoQPSA/4EJURJRGeEgASbBMBE5kT7hPzE/AUJhSHFNsVDRU3FWUViRWdFcUWLRbqF+UY9hntGpQavBpoGecZlBl9GWAZJBkzGgsbgxzOHUYc+hxMG20aaBlwGKgXqRXoE6sSLRJ6FE8WexgQGQIZpBoYGlMaYBpjGmUaVxo6GiAaDRn6GecZ3xnnGfcaDBotGlcaeRp7Gk0Z7BlkGNoYiRidGQAZahmfGaMZmxmaGZQZgRlsGWQZYRlUGUEZOBk6GToZLBkWGP8Y6BjTGMAYtRixGLIYsxiyGLYYyBjnGQEZAhjpGMIYmhh4GGMYWxhXGEUYHxfvF8MXoxePF4cXfxdtF00XLRcUFwIW8BbdFskWuBapFpMWZBYRFaUVQRT3FMgUshS1FMMUwRSlFIMUcxRmFD8UBhPgE9kTzxOlE2wTSBNCE0QTPBMrExES7hLMEr4SyxLqExgTUhNyEzcSiBGtERgQ9BD/EOIQjxA7EAsP7A+2D2cPHQ7rDsEOhg49Df0N2w3NDboNjA1JDQUM1AyxDIsMWQwiC/QL1Qu5C5MLZAs5CxkK+QrKCoYKPAoLCg4KRgqSCrwKpQpZCfwJrAl5CXMJqQoGCkwKRAnrCXkJLAkVCRUJCQjlCL4Inwh3CDwIEAgiCF8IZwf5B00G3AbdBxcHNAchBv8G4Qa/BpkGeAZgBkoGMgYhBhoGFgYPBgkGBwYHBggGEAYfBjAGOwY9BjAGEAXkBboFlwVwBTkE+QTFBKoEqwS5BLwEpAR7BF4EXARuBHwEgASBBIMEgAR1BGgEXQRYBFgEYgR0BIcElQSiBLIEwwTSBN8E8AUFBRsFLgU+BUwFVQVaBVwFXAVgBW8FkAW3BdAFzAWvBZMFkAWyBeQGBQYIBgcGHQZABkYGGQXhBdAF6AYCBgcGBQYIBgIF5wXHBboFuwWvBY0FaAVRBUEFLQURBPUE2wTDBK0EmwSKBHUEXQRGBDEEHQQFA+oDzgOzA5QDcQNJAyQDCALzAuECygKvApYCggJyAmICTgI1AhgB9gHPAaIBdgFRATQBGwEDAOoAzwCwAIwAZQA+ABf/8v/Q/7H/k/91/1T/MP8J/uH+uP6N/mD+Mv4F/df9qv2C/V79Ov0P/OL8uPyQ/GX8N/wL++L7t/uJ+177OfsV+uv6wfqX+mv6PPoP+eb5vvmT+Wf5P/kc+Pr41/i2+Jj4ePhV+DL4D/ft98v3qfeH92T3Qvcj9wX26PbK9q/2lvZ59lX2LPYF9eP1yPWu9ZL1c/VR9S/1DvTt9Mz0rPSO9HX0X/RI9C30EPP58+jz1/PD86/zoPOV84nzffNx82bzW/NU81HzUfNR807zSPNC8zzzOfM48zXzLvMp8ynzMPM680bzU/Ne82fzcfN984rzlvOk87XzyPPa8/D0DPQq9Ef0YPR69Jj0t/TZ9P/1KvVW9Xz1nfW79dr1+vYa9jX2UPZw9pL2sPbL9uv3D/cy91T3evel98738PgW+EP4cfiZ+MD47fka+UH5ZPmM+bb53foB+in6U/p5+pz6wfrp+wz7LvtS+3b7k/uu+8z77vwO/Cr8Sfxp/IX8nPy1/ND86v0F/ST9RP1f/Xf9lf24/dj99v4W/jj+Vv5w/o7+rP7D/tX+6/8G/yL/P/9i/4T/oP+8/+IADAAqAEYAcQCnANYA/QEpAVoBgQGcAcEB9AIkAkoCdgKsAtwDCANAA4UDuQPNA9wD+wQZBCIEKQRGBHMEogTTBPoE8gS1BHYEaQR7BIUElgTSBScFXwVZBRkEsARYBIIFYwaGBzUHXAegCGsJVQm1CXcI9ghTB04FzAQvAw8CxAM6BB4FHAYDBpkGcQUpAvIAqf8l/oT+TP4W/eT9z/3E/Z79Wf0V/On8yfyb/FP8AvvM+8L73vwj/JD89f0G/LH8Tvw0/Ev8OPvd+2X66PpU+bD5MPju+MT4jvhT+Bn3zvdr9xT25/bK9pX2TPYO9eb1w/Wc9W/1NvT49NP00/Tb9Mj0pPSO9IH0YPQp8/nz2/PB86PzjfOD83zzc/Nw83PzcfNo82PzW/Mz8t3ybvIK8b/xh/FZ8S/xBPDX8LLwmvCN8Inwj/Ci8Lfwy/Dh8P3xH/FD8WnxlfHD8fLyIvJU8ofyvvL+80bzj/PU9Bj0W/Sd9N71IPVj9aP14vYm9mz2rfbr9zH3gPfL+Az4TviZ+OX5J/lk+aj5+PpL+p/69vtL+5z76fw8/JP85f0r/W79tv4E/lD+m/7s/z//i//J//4ANwB1AK4A2AD4AR4BTwGGAbkB4QH/AhcCMQJUAn0CowLBAtkC8QMRAzwDbQObA78D2APpA/YEBQQhBEoEcwSQBKgExwTpBPsE/QUGBSwFbAWzBfMGJAZGBl4GdgaQBqIGpgapBr4G5wcSBzAHPwdFB0cHSAdHB0YHRwdPB14Hbgd4B4AHkQepB8MH2QfrB/cIBAgbCD8IZQiACI4Inwi7CNwJAgkxCXMJygozCqcLFQtqC54LtAu1C64LrwvGC+4MEAwdDBkMFAwVDBcMFwwRC/wL1QupC44LiwuRC4wLcgtECxAK4wrICsMKyArMCskKxwrLCtUK3wrjCt8K2ArTCs4KxQq0CpsKegpYCj8KLgooCicKGwn1CbQJZQkZCNUImghkCDYIGggYCCsIRAhLCDUICgfYB6wHjgeCB4kHnAe4B+MIHwhaCHgIdAhjCFYIVAheCHQIkAijCKoItAjGCMAIfggJB5cHUActBwgGzgaGBkIGBwXTBZ0FXAUPBMMEhQRXBCwD9gO0A2wDIgLaApYCVAISAckBcgELAJwANv/d/4b/Kf7P/of+Tv4Y/eP9vv25/cz95v32/fn98P3c/cD9of2B/WP9Tf1B/TX9Hfzw/Kf8Svvv+7n7svvE+8/71Pvv/Cb8Wfxt/Gn8aPxs/GD8PfwP++P7uPuQ+3X7b/tz+3H7X/tD+yv7I/ss+zH7I/sF+un61/rK+sr65/sU+zD7K/sj+y37OPsq+xv7NPtp+3v7TvsK+uL62vrj+v77Ivsm+ub6c/oB+Z35L/ir+Cj3ufdU9uz2iPYr9cb1T/Tp9Lv0xfTb9Nr0wvSb9Gn0MfQA89rzsPNy8yby3fKc8mLyMfIG8dbxj/E18N7wmvBj8Crv5O+E7vruTe2h7Rnsquwx66/rT+su6y/rIusB6ufq1+qv6mPqJ+o36pHq9usv6zTrHusJ6wTrEusi6xfq6Oqp6nnqW+pB6h3p9OnP6ajpeulH6Rvo+ejW6Kboaugr5+znpudN5uPmeOYY5bzlWeTv5IrkLOPM42bi/+Ki4knh7OGI4STgxuBr4BLfu99h3wHen95G3ffdrd1k3SHc5tyo3FjcANu224LbVtsf2t7aodpx2knaKtoY2hXaGNoj2jfaPNoK2ZvZItjf2NTY1tjC2KPYith02FzYS9hH2D/YKNgJ1+zXxdeK10rXIdcU1xvXRtet2EjY69l42fHaVtqR2pHaY9oc2b7ZWNkY2SPZa9m72f3aRNqd2v3bWtu/3Drcwd1J3czeTN7M31Lf5+CG4Rfhk+IQ4qfjUeP45JLlKOXD5mnnH+fg6JrpPenO6k/qrurR6rjqduoe6cjpounP6jbqi+qu6uTrjOyz7gXvJ/AK8M/xjfI78sXzKPN188r0QPTa9YX2Jvay9yv3mfgD+G341fk5+Zr6Afpw+t/7RPud++v8Lfxl/J/85P0s/WP9jf3B/gf+Tf6G/sH/Ff+D//kAdAD7AYoCCgJuAsADFQN4A+kEZATdBUQFmQXlBjUGiAbZBy4HjQfzCFUIqwj0CTkJhwnoCl0K3QtcC8wMHAxEDFAMZgynDR4Nwg6CDz4P1hBQEMkRVBHdElcS3ROJFC4UfhRpFEMUYRTAFR8VXhWQFccV+BYhFm0XDBf1GO4ZxhpnGrkalBoAGWIZKxlcGYsZfBmAGg4bFhwNHIwckBwrG1oaVBmNGQ4YHRYQE3ARxBIZFAEWOBfhGPMZrBolGmUahBqWGpcagRpjGlAaPxonGgsZ/Bn/GhAaMBpcGooaqBqjGm4aAhl6GQwY5hkMGVIZjRmwGcgZ3BniGdAZsBmWGY0ZiRl/GXQZcBltGV4ZRBkvGSMZEhjzGNYY0BjgGPAY8hjuGPUZCRkcGR8ZDxjxGM4YrRiWGIwYiRiDGHMYUxgmF/UXzRe2F6oXmheBF2gXVxdIFzIXFxb5FtQWphaCFn4WihZ0FhkVkxUgFOAUyRTBFLgUrRScFIAUWRQvFBEUBxQPFBQUARPWE6ITeBNeE1ETThNGEysTCBL9ExoTQhNMEzYTIhMUEt8SXxG4ET0RFBEOEOwQqRBxEFcQPQ/8D5wPQw8GDtUOng5eDiMN+Q3eDcgNqQ16DT4NAAzIDJkMbQxADBUL7gvOC6wLgwtWCzQLJwsaCusKlApGCkkKsQs2C28LLwqjCh0JwwmOCX8JsQoiCo4KlwonCYoJJgkZCS4JJAj2CMkIrQiFCEIIDggnCHsIoQhGB5QHCgbyByMHSgdCByAG+QbQBqMGfQZjBk0GNQYgBhcGFQYWBhUGEwYUBhwGLQZBBk4GTwZEBi4GDQXnBcUFqAWHBVgFIATrBMcEvQTGBMsEtwSNBGsEaQR/BJMEmQSYBJYEkQSGBHgEbwRsBG8EdgSEBJMEoQSwBMEE1ATjBPAE/AUKBRcFJwU8BVUFagV0BXUFcwVyBXoFkwW6BdwF4AXHBbAFuQXnBhkGLwYkBhUGIgZIBmIGVgYvBhIGDwYcBicGMQY3Bi4GEwX1BecF5QXXBbYFjwVzBV8FSQUtBRME/AToBNQEwgSvBJsEhgRwBFsERQQsBBMD+gPiA8YDowN6A1ADLAMRAvwC5wLOArMCmwKKAnwCawJTAjUCEQHpAb4BkwFtAU4BMwEZAQEA6gDPALEAjQBmAD0AF//1/9j/vP+d/3z/Wf80/w/+6v7B/pP+Y/4z/gP91P2p/YL9Xf00/Qn83vy0/Ij8W/wx/Aj73Puu+4T7X/s4+w364vq6+pH6Zfo5+hD56vnB+Zb5b/lL+Sr5Cvjs+M/4r/iO+G/4Uvgy+A/36vfD95z3d/dV9zf3Gfb89uH2xvan9oH2WvY19hb1+/Xi9cj1q/WL9Wn1RfUi9QL05fTK9LL0nPSG9Gv0TvQ09B70C/P0893zyvO787DzpfOa843zgPN283HzcPNv827zavNk81zzV/NV81LzTvNL803zUvNb82fzdPOA84rzk/Of86vzuPPH89vz8PQD9Bj0MPRK9GH0efSU9LP00vTx9Rb1QfVu9ZT1svXO9ev2CvYp9kb2Y/aD9qT2wfbb9vr3Hfc/92H3h/ew99X39fgZ+Ej4d/ig+Mb48vkc+UD5YPmG+a/51vn7+iT6Tvpz+pX6vPrk+wf7JvtH+2r7iPuj+8D74vwC/B/8PPxa/Hb8j/yq/MX83fz3/Rj9O/1X/XD9jf2t/cj94v4C/iX+Qv5Z/nX+lv6x/sT+1P7o/wH/If9K/3P/kP+q/8//+wAfAD0AZgCYAMMA6AEVAUoBcgGNAa4B4QIWAkMCcQKiAsoC7gMfA1oDhQOYA60D0APrA/YEBgQuBGYEpQTxBTIFNwUCBNgE5gUGBQ4FFwVIBYIFlQWHBWoFHQShBH0FNAZyB1IHkAfXCLAJqwoFCbEJLwikB7EGMASoA84D3wSUBYEGXwcGB0IGuAUqAtwAmP8k/pr+g/5t/kL+Gv34/cj9iv1K/Q/80PyG/D38Cvv7/Az8OPyO/Q79ef1+/Sj84/zy/Q38wvwU+2r69/qL+gH5gfk5+R35BPjl+MT4lPhP+Aj3z/eV90j29Pat9mz2K/Xw9b31f/U69Q71DfUV9QH03vTO9MX0nPRP9ATz0/Oy85PzgvOF847zkfOR85DzhvN182vzZ/NZ8zLy9vKy8mzyJvHj8aDxWPEU8OTwy/C+8Ljwv/DU8Ozw/fEN8SXxRPFn8Y7xufHn8hPyP/Jq8pTyw/L/80jzk/Pa9B70Y/Sm9Oj1KfVq9ar17fY29oD2wfb89z73iPfP+A/4T/iY+OP5I/lc+Zr55Po2+oz65fs++4/72/wq/H380f0d/WX9rP30/jz+iP7a/y//fv/DAAEAQACCAL8A7wEUATcBXwGLAbkB4QIAAhgCMwJXAoACpALCAt4C/QMgA0oDeAOhA74DzgPaA+gD+AQQBDEEVwR4BJcEvATjBPsFAQUHBSQFWwWeBd4GEAYvBj0GRgZXBm4GhAadBsEG7gcXBzEHPAc7BzIHJQcbBxgHHAcnBzcHRQdPB10HdAeSB64HxAfXB+gH+AgMCCoITQhsCIAIkQimCMAI3wkECTMJawmvCgQKZwrNCyYLaguRC50LoQu1C94MBAwSDAoMBAwFDAgMAwv2C94LtguKC28Lbwt5C3MLUwshCu4KyAq1CrQKugq+Cr4KwwrOCtYK0wrICr4Kuwq8CrwKuAqtCpgKewpbCh8KCgn1CdgJpglWCO8IiAgyB+4HrwdwBz0HJAcwB1oHjge3B8kHxAepB3wHTgc3Bz8HWweBB7QH9ggwCEcIQghBCFcIdAiACH4IfgiKCKYIzgjsCNUIcAfbB1cHDwb1BtsGpgZYBgUFuwV/BUoFFATZBKEEagQxA/QDvAONA1oDGALIAngCNAH3AbQBXQDvAHgACf+p/07+7P6M/j3+Af3M/Zz9gP2D/Z39tv3A/b/9tv2l/Yj9Yf0+/Sf9Hf0Z/RL9Bfzs/Lb8XPv0+6j7jvuR+5L7kfuo+9z8DPwe/CD8L/xJ/E78LPv2+8T7oPuM+4f7i/uL+3r7XPs5+x37DvsM+wz7APrr+tn6zPq++rb6xvrr+wf7C/sI+w77Cvrs+tX68vst+0D7C/rD+qb6vPrf+vP68frK+nX6Bvme+UP44fhz+AD3jfcR9pX2NfXy9az1TPTq9LH0p/Sr9Jz0dPQ48/DzqfN281nzPfMP8tDyjvJO8hTx4fGy8XrxLfDZ8JLwXvAt7+3vle8f7n7tvu0O7JbsTuwG66frUOsm6yHrG+sG6u7q0+qf6lnqNepl6tPrMutN6zLrD+sC6wXrDesM6vfqyuqQ6l/qPuom6gnp4um26YnpWekn6Pno0eip6HroROgP59vnm+dE5t3meOYf5cTlXeTv5IrkLuPP42Xi++Kc4kfh7uGR4TTg3OCE4Cnfzd9y3xTetd5b3grdvd1y3S7c8dyw3GDcCdvA24rbWdsd2trandpt2kjaLdob2g3aBNoP2jDaRNoY2aTZJtjg2NXY1di82JjYfdhm2ErYMtgq2CjYHNgH1/TX1teW1znW5Na71sbW+9dW183YTdjF2S/Zhtm72cTZotlf2Q/Yz9jE2PTZQtmL2c/aINp92tzbPNut3DDctt003azeJd6i3y3fyuBu4QHhhuIS4rPjWeP15IzlJuXF5m3nJ+fu6KbpPenA6jzqnerH6r3qlupa6hXp++pD6s7rLuso6xbrheyd7f7vO/A48Q3xyfJj8tnzN/OM8+f0XvT79av2U/bi91/30/g++KP5Bvlq+c/6Ofqr+x/7jPvz/Fb8rPzq/Rn9Tv2O/cj99P4g/lr+l/7K/v//Tf+3AC0ApwEsAboCPQKlAvoDUQO4BC4ErQUoBZAF4gYrBnQGwgcWB3YH4AhICJ8I5gkoCWwJuwodCpkLIgueC/YMIww1DE4Migz6DaEObA84D9gQOxCDEOsRhxI1EtATaRQZFL0VBhTgFKQUthUdFY8V2BYGFj0WgBbPF0kYBxjoGZwZ/BogGiIZ7xl9GRAZBxlhGbkZxhm4GeEaRRqxGxAbYBtlGtsZ/BlcGQgYLxYgE3ERrRHVE4wVtReJGNgZsRopGmkamxrDGsYapBqBGnMaahpUGjcaJBokGjsaaRqhGssa2BrHGpkaShnoGZkZeRmCGZwZuBnZGfsaChn7GdkZuhmuGbAZrxmlGZcZjBl+GWYZThlDGUMZOhkeGQAY+xkKGRUZEBkMGRkZLRk1GScZCxjpGMYYqxidGJsYmRiRGIQYcxhWGC8YCRfsF9QXtReTF34XdxdvF1oXOhcXFuoWtBaKFocWmBaFFikVnxUpFOsU1xTNFMQUwhS9FJ8UZRQuFCcUUhSCFIUUUhQLE88TqBOQE4QTgBNyE04TKhMwE2YTnROZE1kTEBLlEsESdRH+EY8RSxEhEO8QtRCPEIMQbhAvD9APdQ8vDvkOyg6eDnEOPg4IDdwNwA2jDXQNLwzlDKkMgAxgDD0MEwvpC8MLnQt3C2MLbQt/C2ULCgqmCpkLBQuaC9ULfArQCj0J7Qm/CZ4JrQoMCogKsgpZCb0JUQk8CUsJOwkHCNYIugiWCFYIGwgeCF4IjQhbB80HQgcKByUHUQdcB0IHFwbnBrcGjQZwBloGQQYnBhcGGAYjBikGKAYlBi0GPwZRBloGVQZDBicGBgXoBdAFugWdBXYFRQURBOUEzwTSBN0E0gSsBIMEdgSHBKIEsASxBK0EpgSaBIwEggR/BIIEigSUBKAEqgS3BMoE4QT1BQQFDwUXBR0FJgU6BVgFdQWGBYsFjAWMBZAFowXIBewF9QXhBckFzAXqBhAGKAYvBjIGQQZhBoMGjAZvBkMGKQYtBkQGWgZgBlQGOQYcBgcF+QXlBccFpgWNBXoFZgVOBTUFIAUNBPoE5QTRBL0EqgSWBIAEZgRLBDEEGgQEA+oDzAOmA30DVQMzAxgDAALnAssCswKhApUChgJuAk0CKQIEAd0BtgGRAW4BTgEyARkBAwDtANUAuACUAGwARAAiAAT/5v/F/6D/e/9X/zX/E/7u/sP+lP5l/jf+B/3Y/az9gv1Z/Sz8/vzQ/KT8e/xW/DD8BvvZ+7D7ivti+zT7B/rg+rn6j/pj+jr6FPnt+cP5nPl6+Vr5Pfkg+QH44Pi/+KP4ifhs+Er4JPf699H3qveI92f3Rvcn9wr27fbL9qf2g/Zj9kb2K/YQ9fb12vW99Zz1ePVV9Tb1HPUE9Ov00/S79KL0hfRp9E/0OfQh9Arz9PPi89XzzPPD87bzqPOb85TzkPOM84rzh/OC83rzdPNy83Hzb/Nv83LzePN/84rzmPOj86vzs/O/88zz2fPq9AD0F/Qq9Dz0UPRm9Hv0kvSu9M306vUG9Sf1UfV89aL1wvXf9fz2HPY89lr2d/aV9rT20fbs9wr3K/dM9273kve499v3+/gh+FH4gfip+M/4+Pkg+UL5YfmF+a350vn3+iD6Sfps+o36tPrd+wD7Hfs8+1/7f/ua+7j72vv6/Bb8MPxL/GX8gPyg/L781fzs/Qv9LP1J/WL9gP2h/b391f3y/hP+Lf5C/lz+ff6a/q/+w/7Z/u//C/8y/13/ff+Y/7v/5gANAC8AWACGAK4A0AD+ATYBZgGHAakB1wIHAjQCZAKVAroC1gL3AyADPwNUA3MDngPAA9MD6gQUBE4EmwUBBVMFWQUjBQoFLwVYBVcFXAWKBa4FmwWCBY0FcwUBBLoFTgaAB1gHhQfJCL0J2go+CeMJXwjTB9YGYAUhBMIFOwYQBuMHjAfeB48GbASEAkMAUP8p/sv+x/64/oz+XP4x/gH9x/2E/Tb84PyO/Ff8RfxQ/Gb8kfzs/XX94v3j/ZL9Zv2O/aL9J/xA+4D7JPrc+lj5uflX+Ub5Xvl6+Yz5j/l6+Uv5A/ik+D734/eL9yD2qPZF9gX1y/WI9Vn1UfVP9TL1DvUC9Pj0vvRT8+nzpvOA82jzZPN184vzl/Oa85bzh/Nu81PzQfM38y/zJfMS8u3yt/Jw8hbxrvFM8Q7w9/Dy8PPw/PEQ8STxMPE98VPxb/GN8bHx3vIN8jnyYfKH8qzy1PMM81TzovPr9C70cPSy9PH1MPVv9bD19/ZE9pH21vcS91D3lffZ+Bn4Wvij+Or5Kvli+aD56Po4+oz64/s4+4j71fwj/HL8wv0Q/Vn9oP3n/jD+fP7N/yH/dP/BAAgASwCMAMgA+wElAUoBbQGRAbkB4QIEAiECPwJlAo0CrwLMAu4DEwM4A1sDgAOiA7gDxAPSA+cD+wQNBCEEQARkBIkEsQTZBPcFBwUWBTMFYQWVBcgF9AYTBiIGLAY8BlUGcgaUBr0G6wcSBysHNQcuBxoHAQbxBvAG+gcIBxgHJQcwB0AHWgd4B5IHpge8B9YH7wgHCCEIPAhUCGUIdwiNCKcIwwjkCQcJLglaCZIJ3Ao1CpUK9QtEC3cLlwu8C+wMEAwUDAML9wv6C/wL8gvbC7wLlAttC1ULVQtdC1QLMwsCCtMKsAqfCpwKoAqiCqYKsQrACsIKsgqcCpMKnAqoCqoKnAqGCmsKUAo3CccJqgmGCVQJCgihCCcHtgddBxgG2gagBngGcAaLBsIHBgdLB4gHrwewB4UHSQcfBxkHKQdGB3UHuQf0CAoICwglCGYIowiuCIgIYQhfCIkIwwjiCLoIRAetBzAG6QbGBqUGcgYsBdoFjAVJBREE3wSzBIwEWwQWA8gDjANoA0QDAwKrAlgCGwHnAaMBQwDMAEv/0/9o/wT+pP5K/gH9yP2Z/XP9Yf1q/YL9lP2V/Yz9hP14/V39Nf0Q/P/9Af0H/QX8/fzr/L38Zvv3+5z7cPtk+1r7Uvti+437tvvJ+9j7/Pwr/Dr8F/vZ+6T7i/uM+5/7tPu4+6D7dvtJ+yP7Cfr5+u764PrN+r36svqn+p/6qPrD+t366/ry+vb65vq8+p36svrp+v760/qY+o36tPre+t/6s/po+hD5uPll+RH4s/hQ9+j3a/bV9kL13fWp9Xv1NPTj9K70mvSO9G30L/Pa83rzKvL78uvy3/LE8pTyVvIU8dXxnvFo8Sjw2vCS8F/wN+/976HvK+6k7gftVuyx7EHsCOvc65nrSesV6wvrEOsK6u/qwuqH6lTqUeqT6vbrO+s/6x/rBusC6wHq8ura6r3qmOpr6j3qHeoK6fXp0emg6WvpOekI6Njoqeh86E3oG+fp57fnfOcu5tPmeeYl5cvlZOT25JHkM+PS42fi/uKg4krh8+Gb4Ubg9OCc4D/f4t+K3zDe0t523iLd092G3T7c+ty03GbcF9vT25vbYtsg2t7apNp32lLaNNoa2gDZ79n92i3aUdou2bzZOdjs2NrY09i22I7YcNhZ2DzYINgS2A3YAtfy1+XXzteM1xrWqdZy1oPWv9cD10nXl9fv2EnYl9jQ2OvY4Ni12ILYbNiL2NHZHtll2bDaCdpo2sPbKNuk3C3crd0d3Yfd+t573w/fs+BW4OjhdOIO4rfjW+Px5IjlLOXU5n/nOOf76KfpK+md6hLqd+qu6r3quuqe6mjqVeqy62Hr2evC63frouyE7c7vHfBP8V/yMfKv8vLzMfOH8/X0fPUk9dv2gfcL94f4Avh1+Nz5O/md+gP6cPrh+1T7xPw3/K/9HP1j/Yj9rP3m/iz+Zf6R/r3+7f8Y/0b/i//tAF8A1wFZAeUCaQLVAy4DhgPtBGYE6gVoBdEGIwZqBrAG+QdJB6gIFwiFCN4JJAlmCbAKBgpuCvALfAvxDDIMRgxUDIcM7g2GDkIPDg/HEEIQexClEQwRxBKYE04T6BSBFQwVSRUpFPcVFBWKFgwWVxZ7FqoW/BdrF/sYsBlcGbEZmxlZGTQZLRkaGQMZGxlsGbwZ2BnNGbkZlxluGXYZ0BoqGhAZixkSGLsX5BYEE5cR3xG5EwAU9hb0GJQZohonGmkaqRrgGuYavhqYGo8ajhp/GmYaVBpWGnYasRrvGw4bBRrlGsEalRpaGhsZ7BnTGdIZ6xoWGjkaOxoeGf0Z7RnqGeYZ1xm/GaMZixl2GWIZUhlNGU8ZSxk7GSoZJxkrGSYZGRkXGSoZQRlHGTgZHBj4GNEYsBieGJUYihh8GHMYcBhkGEsYKxgPF/AXzBepF5QXjBeGF3YXXRc7FxAW4ha/FqwWkhZUFe4VfhUpFPwU5xTXFMsUyBTHFLEUgxRgFHkUzRUXFRIUthQ/E+gTvxOyE68TrBOdE3sTXRNjE5UTxRO+E3kTJhL2EuISuRJfEe4RjxFIEQUQxBCXEIUQdhBLEAQPsw9qDzMPFg8KDvQOug5kDhQN4g3EDZoNVg0GDMUMnwyIDGoMOgwAC8kLnwuEC4ULpQvJC7kLXgrrCr8LBwuAC7QLaArTClwKJQn8Cb0JkQm7CikKdwpVCeMJfQlWCVEJPwkWCOoIyAinCHcIPwgcCCUIRghCB/IHdgcfBxkHRgdkB1UHKgb6BswGnwZ7BmMGSwYuBhsGHwYzBkEGPgY2BjgGQwZMBlAGTQY/BiYGCAXxBeMF0gW3BZMFaQU5BQgE6AToBPwFBATqBLsEmQSZBK8ExQTNBMoEwgS2BKcEmgSSBJIEmQSiBKsEsgS7BM0E6AUDBRYFHwUjBSMFJQUyBU0FbgWIBZgFnwWhBaQFsAXNBe4F/QXzBeEF1gXbBe8GEgY8BlsGagZ4Bo0GlQZ2BjwGEwYaBkMGZwZyBmcGUAY1BhgF/AXjBcsFtAWjBZgFjAV5BWEFSQU0BSEFDQT3BOEEzAS4BKEEiARtBFIEOAQeBAUD6QPIA6IDeQNTAzIDFgL7AuICzAK9ArICogKHAmYCRAIkAgMB4AG7AZcBcwFSATcBIAEKAPQA2wC9AJkAcgBNACwAC//n/8H/m/91/1P/Mv8P/ub+uf6O/mX+Of4L/dz9sP2F/Vj9J/z2/Mn8ovyB/F78NfwJ+9/7uPuN+1/7MfsI+uD6t/qM+mT6PvoX+e75x/mk+Yb5aflM+Sv5Cfjn+Mn4r/iU+HX4Ufgo9//32fe395X3cvdQ9zL3FPby9tD2sPaU9nf2WfY79h/2A/Xm9cf1pPWB9WP1SvUz9Rn0/vTk9Mr0r/ST9Hj0YPRJ9DL0HPQI8/rz8fPr8+Lz1vPJ877ztvOw86vzp/Oh85nzk/OR84/zj/OR85bzm/Oh86vzt/PA88bzzvPd8+3z/PQN9CP0OvRN9Fz0bvSC9Jf0rvTJ9OX0//UY9Tf1XPWE9an1y/Xr9gr2KvZM9m32ifal9sT24/cA9xz3O/dc9333n/fC9+T4Bfgs+Fr4iPiw+NX4+/kh+UL5YvmF+av5zvny+hv6Q/pl+oT6qvrT+vb7FPsz+1b7dfuS+7D70fvw/Az8Jvw//Ff8cvyU/LX8zvzj/P/9H/06/VL9b/2R/bD9yv3n/gT+HP4w/kj+ZP59/pL+rv7M/ub+/P8c/0X/af+G/6j/0v/6AB0ARQByAJgAuwDnASEBVwGBAakB1AH9AiUCVQKHAqsCvgLRAuoDAgMZAz8DcgOcA7oD2gQFBDoEigT1BUQFPAUABPIFJQVJBT0FRAWEBa4FjwVyBZUFowVFBPcFdQaHBzcHRweSCKcJ3ApGCfYJiwkKB/sGhQWOBasGewdOB+EINAgWBzQFiQN5AYgAG/9W/xP/Av7o/sH+nv59/k7+Cf21/Vv9Afy5/Jb8mPyt/MT86f04/bD+C/4F/b39nf3G/c39RPxc+677bPsx+pj5zvlL+Uf5lvny+jv6bfqD+mv6Gfmh+S34z/hm98v3GfaQ9kf2E/XW9af1l/WH9V71NfUo9Rr00fRK88DzYvMv8xzzKPNM827zfvOD84PzefNe8zXzC/Lu8ury/fMX8yDzEPLe8oXyCfGM8TfxFvEW8SfxQPFY8WTxafFy8YbxnfG18djyB/I48mHyhvKs8tDy9vMo823zuvQE9Ef0ifTJ9QT1PvV69bz2AvZN9pn24fch91/3n/fg+CL4Z/iv+PX5Nflx+bL5+/pJ+pv67fs8+4r72fwq/Hn8xP0N/Vb9n/3p/jX+g/7R/yH/c//FABIAVwCVAM0A/wEsAVQBdgGYAb8B6QIRAjMCVQJ+AqQCwgLeAwIDKwNNA2YDgAOaA6wDtwPKA+kEAwQQBBsENARZBIEEpwTLBOwFBgUhBUUFbwWXBboF3AX7BhIGJgY+BlsGeQaaBsAG6AcJBx0HJQceBwgG7QbdBt4G6Qb3BwUHEQcbByoHQAdaB3AHgweaB7kH2wf5CBQIKwg5CEMITghgCHYIjgiqCMoI7wkXCUQJdQmwCfwKXQrGCyQLcQu2C/IMEwwNC/ML5wvxC/oL6wvHC50LdAtRCzsLNQs5CzMLGQryCscKogqGCnUKbQprCnIKggqQCo0KeAplCmoKhAqZCpIKcApDChoJ+gngCTgJDgjjCLIIbggRB6UHPwbrBqYGbAZCBjEGPwZlBp0G4wc1B4wHzQfdB7QHbgc1BxoHEwcbBz8HfQe2B88H4AgVCHQIwwjNCJcIWghLCHAIpwi6CIYIEQeLBx0G0gabBmkGNwYABb8FewU8BQMEzwSjBH4ETgQBA6YDXwM4AxMC0gJ+AjcCCgHeAZMBIwCeABX/lP8e/rf+Xf4Q/c/9mv1x/Vb9Tf1U/WL9aP1i/Vr9Wf1X/UT9HPzz/OH86Pz1/Pf87PzW/Kj8WPvz+5z7a/tV+0P7Nfs9+137f/uU+6/73/wU/CT8APvC+5L7f/uH+6H7v/vL+7f7ivtX+yv7CPrv+uD61PrF+rT6p/qe+pf6mfqo+rz6zfrY+tv6x/qe+nz6hvqv+sj6svqJ+n/6n/rC+rn6ePoZ+b75dfkw+Nv4evgf98f3Uvay9gz1lPVW9Sz0+PTC9J70jfR69FD0BvOh8zby5fK+8rfysvKc8m/yLvHj8ZzxYfEq8Ojwn/Bi8DrwD+++7z3up+4e7aLtIuye7DDr6+u864LrPOsH6vvrB+sF6uHqp+py6mDqfurA6wTrJusi6w/rB+sG6vXq0Oql6oHqYuo96hfp/en06ejpyOmR6VTpHejr6LjohuhX6Cfn8ue854jnUucR5sXmdeYk5czlaeUA5JrkN+PS42vjCeKw4ljh/uGm4VThA+Cs4FDf9t+h30ne696N3jfd6d2c3U/dA9y43G3cJ9vp26vbaNsi2uTasNqE2lvaN9oW2fXZ4Nnx2inaV9o+2dLZTtj42NvYztiz2IzYbNhR2DTYF9gE1/bX5NfR18fXtdd41wbWjtZR1mLWmdbG1uDXANcz13XXt9fy2CDYNtgw2CTYM9hp2LXY/9lJ2aLaB9po2sTbLduw3Dncrt0O3W/d5N5t3wrfsOBN4NnhZeIH4rbjWePv5IvlOeXo5pTnR+f/6J7pFumD6fzqaeqt6tLq7err6sDqresR69vscOxh6/br3Oxq7XjuyPA+8avytfMp8z3zVfOj9B30tfVp9iX2xPc796b4Hfib+RD5d/nY+jv6o/sS+4P79fxx/Pr9e/3R/fT+DP5A/ov+z/7//yX/Tf9z/5z/2gAyAJsBDAGIAg8ClAMGA2UDvQQhBJkFHwWhBgsGXAajBuoHMQd5B84IOQisCRAJYAmrCf8KYArPC1EL1wxCDHkMiwymDPENcw4ZDtEPhxAgEIEQqxDVEUISBRLnE6UULxSmFRMVVBVWFUsVfBX0Fm8WsxbRFwEXXRfTGFMY1Rk5GUgY+xicGIEYshj1GSAZRBl2GawZ1BnoGdQZdxjkGH0YlxkNGWgZYxkZGJkXnhX3E/sSdRIAErQURBY9GBYZZRoUGmwatBrwGv4a4RrCGrsavBqvGpcahBqLGrQa9hsyG0MbKBr+Gt8axxqjGm8aORoUGgwaJRpMGmQaXhpGGjYaLhojGg0Z7xnPGbAZlRmEGXsZdBlqGWAZWBlQGUsZShlFGTgZKhksGUEZWBlhGVkZRBkiGPcY0BizGJwYghhuGGcYZhhbGEIYKBgVGAIX6BfKF7EXoBeWF5IXhhdnFzkXERb1Fs0WfBYMFaMVXRUzFRQU+RTiFM8UwRS5FKwUlhSMFLQVFRVtFW0VARRqE/gTyhPIE9AT0BPEE7ATnBOYE6kTvhO1E4ETPhMVEwgS7BKdEisRwhF2ETEQ5RChEHsQcBBfEDEP6Q+eD28Pbg+HD4gPSQ7WDmAOEA3fDbINdA0wDPcM1Ay+DJ4MaAwfC9ULnQuGC5ULvgvfC8wLeQsPCtEK5AsnC0sLIQrHCoIKZgpECfIJlwmCCcYKFwogCdsJgAlDCSsJIwkWCPoI1Qi3CJ0IbwgoB/YIAggqCBcHqwcyBwkHMgdcB1MHKgb/BtYGpwZ9BmIGTwY2BiQGKwZCBlAGSQY+BjwGPgY9BjsGPgY8Bi0GFQYFBfwF7gXTBbEFiwVeBS0FBgUBBRoFNAUuBQME0QS5BMIE2QTpBOoE4gTWBMYEtgSqBKQEpgStBLYEuwTBBNAE6wUJBR0FJQUlBSMFIQUoBUAFYwWGBZ0FqQWsBasFsAXEBeEF+QYFBgQF+gXrBewGDgZHBnEGeQZyBnkGfwZiBiUF+QYDBjUGYQZxBmwGXgZIBicGBgXtBdsFzQXDBb4FuQWrBZIFdQVcBUsFOgUlBQsE8ATXBMAEqgSSBHUEVgQ4BBwEAgPjA78DmANzA1EDMwMZAwMC8QLjAtQCvwKhAoACYQJFAigCCAHmAcEBnQF7AV0BQgEoARAA+gDgAL8AlwBuAEkAJgAD/97/t/+R/2z/Sv8n/v7+0/6r/oj+ZP47/g/94/26/ZD9Yf0v/P/81fyy/I78Zvw5/A374vu2+4j7Wfsu+wT62vqy+oz6Z/pA+hf58PnN+a35j/lx+VD5LfkL+Ov4zviy+JX4dPhN+CX4Affi98D3m/d591v3PPcc9vz24PbE9qb2hvZm9kj2KvYM9e31y/Wp9Yr1cfVa9UD1IvUG9Oz00vS49J70hvRv9Fn0RPQw9CH0GPQV9BH0B/P68+zz4fPY89PzzfPF87zztfOy87Dzr/Ox87XzuvO+88Xz0PPY893z6PP69A70H/Qv9EP0WvRt9Hz0jvSj9Ln0z/Tn9P/1FvUv9U31b/WR9bT11/X69hn2OPZa9nv2mPaz9tP29fcT9y33S/ds9473rvfP9/D4Efg1+F/4iviy+Nb4+/ke+T75XvmB+ab5yfnt+hX6Pfpf+n/6ovrI+uv7Cvss+077bPuH+6X7xPvi+/78G/w2/E78Z/yG/Kf8wPzW/PT9Fv0x/UX9Xv1+/Z/9u/3X/fP+C/4g/jn+Uf5j/nX+kv63/tX+6/8I/y//Vf91/5n/xP/rAA0AMgBcAIQAqADUAQwBRAFzAaIB0AH5Ah8CSwJ3ApMCnQKpAsAC2wL4AyIDVQOCA6YDywP0BB8EYAS3BPIE4QSxBL0FAQUiBQoFFAVlBaMFjgV3BaIFtgVcBQsFeAZkBu0G+AdmCJ0JzwopCe4JvglkCEsGyQYABnEHawgRCDsIGAeEBjYEUwJvAP8AG/+g/2L/O/8Y/v3+7f7U/pr+Qf3h/Yj9O/z//N/85P0F/S79V/2I/cP95v3N/Y79cv2N/Y39Ifxx+/L7wPt6+sn54/lN+U/5u/o4+pn63/sK+wH6s/o5+cj5bPj1+Dv3a/bW9oz2WPYa9ef10/W+9Y71XvVM9Tn06PRU87PzNPLn8s3y4vMR8znzS/NU81/zYvNO8yDy5fKy8p/ytfLi8wvzHvMQ8tHyYfHc8XDxNfEu8U3xfvGm8bLxrvGy8cLx1PHo8gryO/Jp8ozyrvLW8v7zI/NP84zz1PQc9GL0qPTp9SH1U/WM9c32E/ZY9p/25vcq92r3p/fm+Cn4cfi6+QD5QvmD+cX6CvpW+qf69/tD+4373fww/ID8yP0O/VX9n/3s/jv+if7U/x3/av+9AA4AWACZANMBBwEzAVoBewGdAcYB9QIgAkQCZwKNArECzALnAwwDNQNTA2QDdgOMA5sDpQO6A94D/gQMBBUELgRVBH0EnwTBBOIFAgUiBUkFcgWUBbAFygXmBgIGHgY/BmEGggajBscG5wb7BwMHAwb+Bu8G3gbTBtMG2wbmBvIHAAcMBxkHLQdFB1sHbweFB6EHwAffB/oIDwgcCB8IIwgtCD8IVghyCJUIvgjqCRIJMQlPCXsJxwozCqkLGQt8C8sL9QvzC90L1wvpC/QL3wuuC30LWgtACyoLGgsUCw8K/wrhCrkKiwpcCjYKIAodCikKPQpLCkkKOwozCkEKXApmCkwKFgnaCasJhQlhCJIIXQg4CBsH8we3B2sHGwbRBo4GWgZABkUGYQaLBr4HAQdXB7MH+ggPB+sHqAdpBzwHIAcXBysHWweKB6kHyAgHCF4IowixCI0IXQhCCEoIYwhoCDYH1AdjBwQGtwZ1BjsGCwXeBa0FegVIBRUE3ASmBHgEQgPxA44DOAMAAs8CjgJFAhAB8wHNAXsA/ABn/9T/Tf7W/nP+I/3f/Z/9aP1D/TX9NP00/TH9LP0q/S79Of09/Sv8//zN/LT8uPzI/Mz8v/yl/Hr8PPvz+7T7i/ty+1v7SftK+1z7c/uF+6H70vwC/A777vu9+5j7iPuH+5L7pvux+5/7c/tA+xj6+vro+uL64vrg+tf6zPrD+rr6sPqt+rT6vvrC+rn6oPp6+lr6Vvpx+o/6kvp3+mD6afqF+of6S/nh+Xj5Kfjj+Ir4J/fX95f3PPap9fz1bfUR9Nr0sPSS9IH0ePRp9Ef0BPOg8zTy5fLA8rTypfKD8kzyA/Gw8WXxK/D58MDwgPBI8Brv3e9w7tLuK+2s7VztGuzE7Frr+euv63HrNOsH6vfq++rx6sjqlep+6pTqx+r46xPrFusQ6w3rDOsC6uXquuqM6mbqQ+og6gDp7unp6d/pvOmB6T/pBejR6J3oaeg46Afn0OeT51vnKObz5rTmauYa5cblauUI5KHkOePR42/jFuLB4mniC+Gw4V3hDOC24F7gCN+031re+t6d3krd/t2y3WPdFNzG3H7cO9v627LbZdsc2uHas9qG2lraNNoT2fLZ3dnt2iPaUto+2drZWtj82NTYxtiy2JDYbNhK2CvYDtf119/Xx9ez16zXoddw1wvWltZR1lPWfdac1qTWqdbB1unXGddN14TXsdfP1+jYEdhS2J7Y6dk+2abaGNqB2uLbT9vQ3FHcvN0V3XXd7t5+3xzfu+BM4NDhXOIA4rDjVePu5JHlQ+Xz5pznSOf06InpBOl/6grqhurV6wfrMus96xTq+uta7DHs5+z47IvsO+xu7SnuYPAF8cnzIfO889bz6fQz9Kf1NPXe9pH3JPeD98/4Mfiv+TP5rPoY+nn62vtD+7X8K/ys/T79zv41/mT+fP6p/u3/Lv9e/4b/rf/U//4AOACIAOYBTAG+Aj8CxQM+A6MD/gReBNIFWAXbBkUGlQbbByUHbQevB/gIWQjKCTYJkQnnCkQKrQsfC5gMEAx0DLUM3Q0PDWUN5w6EDykPxRBIEKYQ5xEtEaISVBMcE8cUQxSpFRIVbhWjFcAV8hZIFqEW2xcDF0MXoxgIGFgYlRi6GLEYeBhBGEgYlRj1GTkZYBmBGawZ4RoTGh0ZzhklGHYYORiXGUIZtRmYGN4XrBY1FLkThBLkExEUFRW2F34Y9RnnGm8awhr7GxUbFBsJGwEa+RrnGssathrAGvIbORtuG3MbUBsjGwMa6xrNGqQafBpiGlwaZxpzGnYabhplGl4aTxozGhIZ+BnlGdEZvhm0GbQZshmkGY4ZehluGWgZZRleGVQZTRlTGWUZdhl+GXgZZhlHGSAY/BjcGLsYmxiHGIAYdxhbGDYYHxgaGBcYCRfxF9IXtReoF68XsReRF1gXLBcPFtQWXBXRFXYVVRVDFSEU/BToFNoUxRSxFKcUnRSTFKgU8xVOFWYVExSFFBQT6hPxE/0T+RPtE+IT1xPJE7sTsxOjE30TShMjExIS9BKmEjcR2BGeEWwRIxDPEJgQhxB+EFQQBw+4D5QPrQ/gD+wPqA8kDpwOOA34DcYNkg1fDTUNFgz6DNYMnQxPC/wLugufC6wLyQvTC7QLdAsvCv0K6QrvCvcK6QrGCqkKngqECjkJ0QmRCZwJzwnnCcYJfAkvCQAI/QkLCQMI4QjFCLsIlgg3B94H4ggwCEoH4wdKBwIHIQdNB0UHGwb4BtgGqgZ9BmQGVwZFBjUGOwZQBlcGSgY9Bj0GPAYyBisGMQY6BjYGJwYdBhgGCwXxBdAFrQWEBVMFJwUVBSUFQgVMBTEFAQTeBNwE8AUDBQcFAATzBOQE0wTFBLkEtAS3BL8ExgTMBNcE7gUKBR0FJAUjBSEFHwUkBTkFXgWFBaEFrQWtBakFqwW5BdQF9gYYBi8GLwYZBgYGFQY/Bl4GWwZOBlkGcQZtBkMGGwYcBj8GYAZvBnMGcQZjBkYGJQYOBf8F8gXoBeMF4AXVBb0FnwWGBXUFaAVUBTcFFQT2BN0ExwSvBJEEbwRQBDQEGgP9A9sDuQOZA3sDXwNGAzADHwMOAvkC3QK7ApgCegJfAkQCJgIIAegBxgGkAYQBZwFKATABGQEBAOAAtQCHAF4AOwAY//b/0v+t/4n/Zv9D/xv+8f7L/qv+jf5r/kP+Gv3z/cz9of1x/T/9D/zl/L38k/xl/Db8CPvb+637fvtR+yX6/PrW+rL6jfpn+j/6Gfn1+dP5s/mU+XT5U/kx+RD47/jR+LX4lfhw+Er4KPgK9+n3xPei94T3ZfdE9yX3Cvbw9tL2sfaQ9nL2UvYy9hL18fXR9bP1mfWA9WX1RvUp9Q/0+PTi9Mr0svSa9IT0cPRd9E30Q/RA9D30NPQk9BP0BvP/8/rz9PPq89/z2fPW89Pz0fPQ89Tz2PPb8+Lz6/P08/v0B/Qb9DD0QPRO9GH0d/SM9J30sfTH9N708vUI9R71NPVP9W71jfWr9cr17vYQ9i72SvZq9or2pfa/9uD3A/ci9zv3V/d69533vPfb9/z4Hfg++GL4ivix+Nf4+/kd+Tz5W/l9+aH5xfno+hD6N/pb+nv6nPrA+uL7Avsk+0X7Yvt8+5j7t/vT++/8Dfwr/ET8W/x4/Jb8r/zG/Ob9DP0q/T79U/1v/Y39qP3D/d799v4N/ij+Qf5S/mH+e/6e/r3+2P75/yH/Rv9l/4n/tf/fAAAAIwBKAHAAlADBAPkBLwFhAZQByQH4Ah4CQgJhAm8CcgKBAqACxALmAxADQgNtA5EDuAPeA/4EIwRYBH8EegRwBKUFAAUlBQoFDwVeBaIFmwWQBbQFswVHBO0FRwYOBoMGsQdlCMgJ7gowCg8KHQnmCL0HKAZ6BxoIEwhkCAUHWwZlBPIDOQHEANcATv/y/7H/hv9o/1T/RP8h/tj+dP4V/cv9jv1U/Sr9K/1e/ar94f3n/cb9lf1a/SL9BP0J/Qv82/yI/Ef8HfvG+xL6NPmf+ZP57PpZ+q366fsS+xL61Ppv+g75tvk1+HP3qPcf9tf2lvZF9gr1+vXu9cT1kfVy9VH0/PRt88jzNPLM8p/yrvLa8vrzCfMZ8zLzQ/M68xLy1/Kd8n/yifKu8tXy8/L/8unypfI58cbxcfFT8XTxu/H38gryBfIF8hPyIvIy8lDyevKf8rjy1vMA8y3zUvN6867z7PQu9Hb0w/UK9T71afWc9d/2JvZq9qv27/c093b3s/fx+DX4fvjG+Q35UvmV+dP6EvpY+qn6+/tG+4372vws/Hz8xf0L/VL9nP3n/jb+g/7K/w3/U/+j//gASwCYANoBEQE8AV8BfAGbAcUB+QIqAk0CawKLAqoCxALgAwUDLQNHA1UDZgN8A4wDlwOqA8sD7AQABBEELgRWBHoEmgS9BOIFAgUeBT8FYgWDBZ8FuAXRBeoGBgYpBk8GdgadBsIG3QbkBtkGzQbIBscGxQbDBsMGxgbOBtwG7Qb8BwoHHAc1B04HZAd5B5IHrAfFB9sH8Af9CAAIAQgJCBwIOAhaCIAIqQjRCPMJBwkTCScJWQmxCiEKmAsMC3MLugvUC9ML0wvfC98LvguJC18LTAtACycLBgrsCt0KzAqyCooKVQoYCeEJxAnHCd8J+goLCg8KCQoFCgYKBwn0CcQJhQlPCSgJAQjOB/0Hywe3B7IHogd9B0cHBwbFBoYGVwZFBlIGcgacBs8HFQdtB8cIDQgpCBkH6QetB3YHTAc3Bz0HVwd4B5kHvwfpCBEIMAhHCFUISAgfB/IH3wfeB8cHhQcpBtQGkQZZBigF/QXTBakFggVeBTIE9gS1BHoEPgPsA4YDJQLZApcCUgIQAeYB0AGuAV0A1gAy/4//Av6S/j39+f21/W39L/0P/Q39Ev0K/Pv89/0E/Rn9J/0k/Qb80PyW/HX8c/yB/Ij8f/xp/En8JPv8+9r7wPuo+5D7fft1+3b7ePt9+5P7v/vt+/z75/vH+7D7ofuR+4b7hfuB+2X7M/sE+un63/rg+uv7APsT+xz7Hvse+xT6/Prj+tb60vrH+qj6ffpO+ib6Efoe+kT6YfpX+jX6KPpD+lr6L/m++T/43/iU+Dv31/eL91n3Fvab9ff1W/Tm9Jv0cvRg9Fn0VvRT9EX0GPPD813zDPLd8r7ymfJl8iXx1/GE8TrxA/DZ8KzwefBB8ALvq+8q7oPt3+1u7T/tLez/7J7sJeu6627rN+sR6vjq5+rR6rXqqOq/6vPrIusx6yTrFOsQ6xPrC+r06tbqtuqU6m7qReog6gPp8enk6c3poull6Sbo8Oi96IfoT+gc5+rnsedy5zfnBubX5p/mWeYM5bzlaeUO5KvkQuPa43rjI+LP4nbiF+G64WXhFODD4G/gG9/D32ffCN6u3l7eFN3J3XvdLdzi3JjcUNwC26vbU9sK2tXaq9p/2lPaL9oQ2fLZ4Nnx2iTaT9o72d3ZYNj+2M/YwNiy2JPYadhA2B3X/9fh18LXqNea15nXltdx1xzWrdZZ1kPWXdZ81orWjtaZ1rDW0db51yjXWteI17bX8Ng32IfY29k92bDaK9qc2wPbcNvq3GXczt0s3ZHeC96Y3y3fv+BF4MfhVeH64qrjUuPy5JflRuXx5pTnNufY6Gro8emF6irquesU603re+uI61vrN+uJ7F/tNO137SnswOyn7QzuDu+u8ZnzM/Qd9IT0zvUs9ZD19/Z19wf3hPfR+Ab4Tfi7+UT50PpN+rX7FPt6++r8Yfzh/XP+CP59/sP+7P8a/1H/hP+v/9oABwAyAF0AlgDiATkBlQH9AncC+gN2A+EEQASiBRYFmgYbBoQG0wcaB2QHrAfrCC0IgwjtCVgJuAoUCncK4wtSC78MJwyGDNoNJA1vDcgOOQ7CD1MP3RBYEMsRPRGzEjASuxNME9UUTRTCFUIVvRYRFjkWTxZyFqQW2xcbF20XxhgJGCYYLBgsGC0YLBg2GF0YoRjvGTAZYBmMGb4Z+RowGk8aMhnAGRwYrxjiGacaXxpZGWsYCxa/FbgU4xRMFCsUqBWxFwwYcxmhGmgazRr/GyobTRtYG00bOhskGwca8xsCGz4biBu1G7IbjhtiGzwbGBrzGtIauxqyGq4apBqTGoUagRqBGnYaWBoyGhYaDBoHGfwZ7BnlGeYZ5RnYGcIZqhmXGYgZfxl6GXkZexmCGY4ZmRmaGY4ZdhlXGTYZGxj/GN0YvxixGK8YnhhzGEUYLxgwGDAYJRgOF/AX0BfBF8oXzherF20XOxcVFscWPBW0FXQVcBVeFSUU8BThFOIU0RS6FLAUqBSOFH0UoRTuFRwU9RSTFD8UJBQwFDcUKBQOE/4T+BPuE90TyhO0E40TWBMqEw4S6RKbEjQR5BHCEa0RexEvEPEQ0BCxEHEQEQ+9D6EPxQ/7EAEPtg82DrUOVw4WDeINsg2JDWkNTg0wDQcMzQyDDDUL9AvWC9cL3QvJC5wLcwteC0wLKAr9CuIK2QrSCsUKuQqiCmcKDQm8CZ8JtQnbCeYJvwlrCRsI/QkJCQ4I8wjaCNIIrAhDB98H6QhQCH0IEQdgBwMHFwdABzUHDgb0Bt0GtAaJBnQGbAZcBksGTgZdBl4GTQY/BkAGPgYwBiUGKgY2BjkGNgY2BjYGLAYUBfYF1QWtBX0FTgUuBScFMgU9BTQFFwT9BPkFCQUaBSAFGwUPBP4E7gTfBNIExwTEBMsE1QTdBOUE9QUNBR8FJwUmBSMFIAUiBTMFVgV/BZ4FqgWqBacFqQW3BdEF9gYiBkYGTwY5BhsGFQYnBjQGLAYmBkEGdgaXBo8GcgZiBmQGbQZ0Bn8GiAaEBm8GUQY3BiIGEQYFBf4F+AXuBdoFwgWsBZwFjQV4BVoFNwUUBPcE3gTFBKcEhwRpBE8ENQQYA/gD2gO/A6cDjgN2A2ADSgM0AxoC+gLXArMClAJ3AloCPwIlAgkB6QHFAaQBhQFpAU8BOAEeAPsAzQCeAHUAUQAwABD/7//Q/7D/j/9t/0f/H/75/tn+vP6d/nj+UP4p/gH92f2s/Xv9SP0X/Or8vPyO/F78LvwA+9H7oftz+0f7IPr8+tf6sfqK+mX6QPob+fn52fm7+Zz5fflc+Tr5F/j2+Nj4uPiV+HH4Uvg2+BX38PfN96/3kPds90v3MPcX9vv22/a79pv2efZW9jf2GvX99eD1xfWq9Y31bvVR9Tn1I/UP9Pn03/TF9K/0nfSN9Hz0b/Ro9GP0VvRD9DD0JPQf9B30F/QN9ALz+/P68/jz9fPy8/Xz+/QA9Af0EfQb9CP0L/RA9FH0XvRr9H30lPSp9L701PTr9QH1FfUp9T/1V/Vy9ZD1rvXJ9eb2B/Yo9kT2X/Z+9pv2s/bL9uz3D/ct90X3YfeG96n3xvfk+Ab4KfhJ+Gn4jvi0+Nn4/vkh+UD5Xfl8+Z/5wvnl+gr6L/pS+nT6lvq4+tn6+PsZ+zr7Vvtx+477rfvI++L8APwe/Db8Tfxp/If8ovy6/Nn8/v0d/TL9SP1j/X39lf2t/cj94P32/hD+LP5F/ln+cf6O/qv+y/7y/xz/Pf9W/3b/ov/O//MAFwA9AF8AgACsAOMBGgFNAYMBvgHxAhUCLwJAAkUCSAJfAogCsALRAvkDKwNYA34DqAPQA+cD9AQQBDUETQRuBL8FJAVQBTsFOAVvBaEFoQWeBbMFkAUOBK0E8QWUBgQGbweDCSQKUgqTCogKqQpbCQIHXwbYB58IfAhiB3UGUwUpA9gCiwGaAQsAogBEAAT/5//U/7n/l/9k/xT+tP5f/iD96f2s/Xr9dv22/hr+Wv45/cf9SPzu/Lj8kvx+/IL8lvyl/KD8e/wd+4D6y/pC+hP6Mfpt+qD6xfrg+uP6vfp8+jb54vlb+Jz35fds9x/2w/ZX9hL2CfYQ9fj1xvWR9VL08PRq89XzRvLU8pnymPKw8r3ywvLX8vzzGPMZ8v/y1fKq8pDyj/Ke8qzyufLK8tbyx/KO8jPx1vGl8b7yDPJU8nDybfJt8nryh/KT8qfywvLU8uLy/PMo81bzffOk89L0BPQ89IP02fUn9Vv1fvWq9ev2NfZ79rv2+/c+94D3v/f/+EL4ifjQ+Rb5Xfmh+d/6F/pZ+qj6/PtI+4371/wn/Hb8wf0L/Vb9n/3m/jH+ff7C/v//P/+K/+AAOwCSANwBFgFBAWEBeQGUAbwB8gInAksCYwJ7ApYCsQLPAvQDGgMzA0ADUwNtA4UDkwOkA8ED4gP8BBcEOQRcBHgElQS6BOQFBAUaBTAFSwVqBYcFpAW9BdEF5gYDBikGUwZ/BqkGwwbBBqoGlAaQBpsGpgasBq4GsQa6BsoG3QbqBvUHBAcZBzEHSAdhB38HmweyB8UH1gfjB+cH6QfzCAoIKghPCHMIlgi1CNAI4wjtCPkJFglRCaYKDQqCCwELcQu5C9QL1wvQC7wLkQthC0YLQws7CxUK3AqsCo0KdwpcCjYKAQnBCYcJbAl4CZkJtwnKCdUJ1gnJCbAJjAldCSQI7gjICK0IhQhFB48HbgduB3cHbQdKBxcG3AadBmMGOAYmBi8GSwZ1BrEG/wdZB7EH+QgmCDUIIgfxB7UHgwdmB10HYQdzB5IHsge4B6QHnQfHCA0IIwfgB3YHOAc9B04HLwbiBpQGYAZBBiYGAwXaBbIFkgV2BUsFCgS/BHsEOgPrA4oDJgLOAn8CMwHvAcABpwGJAUEAugAH/0/+uv5T/g/91f2Q/T/8/Pzg/OP86Pzb/M782fz7/Rf9Gfz9/M78k/xb/Dn8Mvw7/ET8Q/w4/Cf8FfwF+/j76fvW+8L7sPuf+4r7c/tn+3j7pvvX++775PvP+8H7tfue+4P7bftW+yz69vrO+sP6y/rb+vX7GvtB+2D7ePuK+4f7ZPsy+w76/Prl+rT6cPos+fH5y/nM+fj6Kfox+hH5/foZ+jz6Hfmq+R34s/hm+A/3p/dP9xT21PZs9d31SPTL9HT0RfQz9C70LvQ29D70KvPp843zN/L38sHyh/JK8gfxu/Fp8SHw7PDH8KfwfvBF7/Pvg+757l3ty+1m7UHtQe0r7NjsVevT63TrO+sU6u/qy+qz6rnq4ush61brZetN6ynrF+sb6x7rCuro6s3qvOqm6oHqU+os6g/p9enW6a3peelA6Qro2+ir6HToOOgA58znlOdV5xnm5+a65ofmSOYA5bblaeUW5LrkV+Py45HjN+Lf4oPiJOHG4XDhIuDV4IPgLd/R33XfGt7F3nbeKt3e3ZHdRtz83K/cXNv/253bQdr72svapNp52k7aKtoL2e/Z4tn72jTaXdpH2enZbdkI2NTYwtiy2I7YXNgu2A3X79fL16TXiNeA14bXiddw1yvWxNZj1jXWP9Zj1oDWjtaY1qrWw9bh1wPXK9dY147Xztga2HDY0Nk72bHaLNqg2wrbdNvo3GPc2d1C3aneHN6g3yzfs+A14LvhUuH74qzjVuP75KDlR+Xo5oLnHOe16Eno3+mJ6j7q2utB64PrtOvA65TrZ+uj7GntUu3O7bXtUe0L7S3t7O9S8RryxfP99NH1evYK9nP2vPcI92b3wfgB+DH4cPjS+VT56Pp0+ur7Tvux/Br8iv0E/Y7+Hf6Y/vP/OP91/6n/0P/0ACMAVgCCAKwA5gE0AYsB4gJCArMDLwOoBBUEewTnBWAF4wZgBscHFwddB6UH6wgqCGsIuwkbCX8J3wpACqYLEQt7C98MOgyVDPUNWQ26DhYOfA73D34P/hB4EQMRpRJIEswTLxOJE/EUbhT+FZIWDxZWFmYWXBZhFocWyhcdF3AXrRfMF84XwxfBF9YYBBg+GHUYpRjZGRUZVRmSGdAaCRo0GlIaXxpAGeIZgRmbGlgbIRsZGgkYlBdwFrwWNRXJFaEVzhY/FvsYFBlYGlMazRsBGzsbfBuYG4kbcxtkG08bPBtQG5Ub4BwDG/gb1huxG4YbVRslGwEa8BrtGuYa0BqxGp8aoBqgGowaZxpIGjoaNhosGhwaDRoGGgIZ+hnsGdwZzBm6GacZmxmaGaEZqRmyGboZvxm6GaYZhRliGUMZKxkRGPAY1BjMGM4YvxiWGGoYVBhQGEYYMxghGA8X+RfpF+YX3xe7F4IXURcdFrsWKhW3FZsVqxWPFTsU8BTcFOAU0xS/FLwUuBSZFHQUeBSqFNYUzhScFHAUYxRrFGcUShQfFAAT+hQDFAkUARPkE68TbhM2ExES5xKeEkER/xHtEe8R2RGkEWkRMRDuEI0QHQ/HD60PyQ/tD+MPmg8uDscOew5CDg0N2Q2sDYwNdA1ZDS0M8QysDGkMMwwUDAoL/AvVC6MLjAuYC58LeAsyCvsK5grgCtMKvgqiCnEKJQnWCawJvQn/CkMKSgn5CYAJLgkcCR4JDAj2COoIvwhXB/kICAhuCJYIIwdsBwgHFAc3By8HEQcABu8GywakBpEGiAZzBlwGWwZpBmoGWgZJBkMGPAYuBiQGJwYxBjkGQwZRBlkGUwY/BiQGAgXYBaoFfgVXBTgFKQUoBSkFIwUaBRkFIQUsBTMFNAUrBRkFBgT3BOsE3gTWBNoE6AT0BPsFBgUYBSgFLgUsBScFIAUdBSYFQwVqBYsFnAWhBaEFpgWzBcsF7wYaBj4GSgY7BiEGFgYdBiIGGQYVBjEGbAakBrwGswaeBooGfgZ9BocGlAabBpMGewZaBjoGIgYUBgwGAwX3BegF2AXIBbcFpAWNBXEFUQUxBRIE9QTZBLwEoASFBGsETgQuBA4D8wPdA8gDtAOeA4YDbQNUAzkDGwL5AtYCtAKUAnYCWgJBAicCBQHgAbsBnAGAAWcBTgEyAQ4A4wC4AJQAdQBWADcAGv/+/+D/wP+f/3v/Vv8w/w/+7/7N/qf+fv5V/iz+A/3Z/az9fP1J/Rj86Py5/Iv8XPws+/v7yfuZ+277SPsk+v361Pqs+of6ZPpB+h/6APnk+cf5p/mG+WT5QPkc+Pr42Pi1+JX4evhg+ED4G/f499r3uveU93H3Vfc99yL3BPbl9sT2ofZ99l72RfYr9g/18vXT9bT1lvV79WP1TvU59SL1BvTq9NX0xvS49Kj0mPSM9IL0cvRd9Ez0QvQ+9Dz0N/Qt9CL0HfQe9B70HPQZ9Bz0JPQt9DX0PvRH9E/0WPRm9HP0fvSK9Jz0svTJ9N709vUO9SP1NvVL9WH1efWS9a71yvXj9fz2GfY39lL2bvaP9q32xfbc9vv3Hvc691H3bveS97X30fft+BD4M/hS+HP4lfi5+Nz5APkk+UX5YPl9+Z35wPni+gP6JfpH+mn6jPqv+s/67fsL+yz7Sftl+4T7pfvB+9v79vwR/Cf8Pvxb/H38mvyz/M787v0J/R/9Nv1S/Wv9gP2Y/bT9zf3h/fb+E/40/lP+bv6J/qT+xv7x/xr/N/9L/2f/kP+8/+UADwA4AFcAcgCZAM4BBQE5AXIBrgHdAfgCCAIUAhoCJQJEAnICmAKzAtkDDgNCA20DmwPIA98D5gP/BDUEcgSrBPYFSgV3BW8FZAV7BZQFlAWUBZIFTwTBBGAEkAURBYUGNAekCYAKxgsaCxQLCQpkCM8HQwcEB/EInQgUBrYFUwQsAyUCTgHHAW0BBwCeAGQAVgBGABz/5v+r/2D/Cf64/nb+Ov38/cv9w/33/k/+hP5P/bv9Hfy7/Iv8Xfwx/DL8c/zH/Ov8xvxn++v7Z/rt+pb6cvp4+oz6nPqk+qP6lPp7+lb6DvmG+M74Jfez91n25PZk9hb2EPYl9h/18vWn9UL0xfRE88fzT/Ln8qnymvKa8pDyh/Kc8sjy6/L08ury2fLH8rnysvKs8qHymPKe8rXyy/LF8pjyVPIq8j7yh/LN8ury6PLm8u/y9/L98wTzCfMH8wnzH/NJ83Xzn/PN8/z0JPRP9JD06/VC9Xr1mfW99ff2QPaI9sn3BfdD94T3xvgI+Ez4kPjU+Rj5YPmn+ef6IPph+q77APtM+5L73vwt/Hr8xf0T/WP9rf3y/jj+gv7G/wH/Ov+A/9UAMgCLANcBEgE/AWIBeQGOAa8B4gIYAj8CVQJqAoUCpALDAucDCwMiAzADRANiA4EDlwOrA8YD5gQEBCUESARlBHkEkAS1BN8E/gURBSEFNQVPBWwFiwWlBbgFyAXfBgEGKAZRBnsGlgaXBoEGbAZqBnkGiQaSBpYGngasBr8GzgbVBtkG4wb0BwcHHAc5B14HhAegB7MHwAfKB88H0gfdB/MIEwg0CFMIbwiJCKIIuAjICNYI6wkQCUkJlgn+CoQLEAt9C7ILtwuiC4ILWws5CyoLJAsJCswKfwpFCiYKEQn5CdcJqAlsCTUJHAkpCUQJWQlpCXoJgwlxCUgJFQjjCLMIiQhqCEwIGgfTB0QHOAdFB00HPAcUBuAGpwZsBjYGDQX3BfgGEAZABoQG2AcwB4IHzAgLCDcIQggkB+0HuAeVB30HbgdwB4YHlgd/B0wHPgeEB+0ICgenBw0GsQa5BuEG2AaXBlEGKgYeBhIF9gXQBa0FkQVxBT0E9QSnBGIEIQPZA4QDKALOAncCJQHbAaMBgwFpAS0Aqv/p/x3+fv4c/eP9sf1u/SD84PzC/L78ufyo/KX8xPzz/Qj87/y6/ID8T/wo/A78BPwH/A/8FvwW/A/8BvwC+/779fvn+9n7y/u2+5L7bPtW+2X7lfvJ++T73fvM+8L7uvuj+4D7Xfs8+xL65frI+sX60Prf+vv7KPta+4X7rfvQ+9j7r/tm+yj7Cvry+sH6dPof+dT5o/md+cP59foF+e/54vn/+iH6A/mW+RH4rPhe+AD3i/cf9tD2iPYp9bD1LvS49F/0K/QW9BD0EvQg9DL0LvP/867zVvMG8rzyePI68fzxsfFd8RLw3fC98KXwgfBA79rvWu7Q7kvt0u147U7tRu0x7OjsbOvj63frM+sF6tnqsuqr6tnrLOt164zrb+s96xzrG+sq6yvrD+rn6svqvuqq6oPqU+oq6gnp4+m06YLpT+kd6O3oweiT6F7oIefm56/nduc35vrmx+ab5mzmNOX05bDlaOUb5Mjkb+QQ47DjUuL34pniOOHZ4YPhNuDr4JfgPN/g34ffM97i3pLeQd3w3aLdVt0K3LfcW9v425fbRNsF2tbaq9p92lDaKdoD2eTZ4doL2lDae9pd2fjZedkW2OLYzNiz2ITYSNgY1/zX4te814/Xcddp13DXdtdp1zfW3tZ71jvWN9ZZ1n7Wktae1q/Wx9bh1vvXHNdH137XvtgK2GTYytk22abaGtqM2vfbYNvT3Fjc3N1N3a3eFd6T3x3fpOAn4LXhWOII4rnjY+QH5KrlSuXj5nfnCeeg6D7o4+mT6kLq1+tE65LrzOvh68Hrk+u27FztRu307hnt1u2H7YXuB+8V8IPyBPNe9IX1gPZN9uD3P/d+96/32fgG+EL4lPj9+Xz6C/qa+xn7hfvm/Eb8q/0d/Z/+I/6Y/vz/V/+p/+MACAArAF0AlQDDAO4BKwF+AdgCLgKJAvMDZgPZBEcEtwUvBa8GMAalBwUHVAecB+MIKQhsCLEI/wlXCbQKFAp3Ct0LRAurDAwMYgy3DRYNgg3vDlUOwQ8/D8YQQxC9EVASBRK6E0ATkRPRFCgUphU8FcUWHhY4FikWGBYmFloWpxb5FzYXUhdbF2UXdReKF7EX8xg/GHcYmxjIGQwZVRmWGdYaFRpAGlUabBqAGmcaMRpSGwobzxu8GpwZKhglF5gXMRbtFvQXJBc9F2UYCBkmGjIaxBsFG1AboBvAG7QbqhurG5obgxuXG98cJRw6HCgcDxv0G8wblRteGzMbGxsQGwYa7RrOGr0avBq2GpsafBptGmkaXhpFGjAaKhoqGiAaChn0GeUZ3RnTGcUZuxm9GcgZ1BneGeUZ5RnZGb8ZnBl4GVoZQBkiGQAY4xjaGN0Y1Bi1GJEYexhtGFcYPhgyGDMYLhggGA8X+RfSF6AXbhcrFrkWLxXYFdsV9xXUFXAVFhTxFOQUzRS5FLsUwBSsFJAUjhSoFL8UvxSxFKYUoRSZFIYUYBQrFAAT+RQWFDYUNxQNE8QTeBM/ExoS8xKzEmYSLRIeEiUSIBH/EcgRgBEgEK0QOw/qD8wP1g/iD80Pjw89Du8OsA55DkIOCA3TDa0Nlg1+DVMNFAzRDJkMbwxSDD4MJAv6C84LvAvKC9MLrwtnCyQLAArvCt0KxgqpCnsKNgntCcEJ0AogCoUKsAprCdwJYgkyCSsJIAkPCQII2gh/CCoILQh3CIkIGwd1BxgHHQc5BzcHJgccBw0G6wbHBrMGpAaJBmwGZgZyBncGbAZbBksGOwYtBigGKwYxBjwGUgZtBnwGeAZoBlEGLgYABdQFrwWLBWMFQgUzBTQFOQU5BTcFNgU5BUEFSQVHBTUFHgUMBQEE9ATqBOwE+gUKBRUFHgUqBTQFNgUxBSoFIwUeBSEFMwVSBXEFhgWQBZQFmgWlBb0F4AYKBi0GPQY4Bi8GLwY5Bj0GMgYjBiYGRgZ1Bp0GsAauBqIGlQaPBo8GlgajBqoGnwZ9BlMGMgYiBhkGDAX8Be0F4gXVBcQFrQWVBX0FZAVKBS0FDgTvBNMEuQSfBIEEYAQ9BB4EBgPyA+ED0AO+A6cDjQNzA1oDPwMfAvsC1wK0ApICdAJYAjwCGwH2AdEBsQGUAXkBXgFBASAA/ADcAMEAqACMAG8AUgA1ABT/8P/N/6n/hf9g/zz/Gf70/sv+of53/k3+JP39/dX9qf15/Uj9F/zq/L38j/xf/C37+fvI+5v7dPtO+yX6+vrQ+qr6h/pl+kT6J/oL+e35zPmq+Yf5Yvk8+Rf48/jP+K/4lvh++GD4Pfgc9/733/e695b3efdh90j3K/cP9vD2zPan9oj2b/ZX9jv2G/X79dv1vfWj9Yr1cvVa9UH1JPUH9PP05/Tc9Mz0uvSr9J30i/R59G30Z/Ri9Fz0VPRL9EL0PvRB9EX0RfRD9EX0TvRZ9GH0aPRu9HX0f/SL9Jj0o/Sv9MH01vTs9QL1GfUw9UP1VfVp9YD1l/Wv9cn14/X69hH2KfZD9lz2evac9r722Pbw9w/3MPdL92H3fvei98P33vf5+Bn4OvhZ+Hn4nPi9+Nz4/vkj+UT5Xvl5+Zn5u/nc+fz6Hfo++l/6gvqm+sX64fr++x77Pfta+3j7mfu3+9P77fwG/B38NPxR/HP8kvys/MT83Pzy/QT9HP04/VL9aP2B/aD9vf3R/eX+AP4k/kn+av6G/qD+wv7s/xX/Mf9G/2L/iP+w/9gABgA0AFYAbwCSAMEA9AElAV0BlQG7AcoB0gHeAe0CAQIkAlMCegKWAr4C9wMvA1wDigO5A9YD5AQMBF4EuAT1BSMFWAWBBYUFdwV2BX4FgAV6BVwE/wRzBBwEPgSoBS0GHQfICbYK+wtMCygKxwnGCCoG+wcjCBsIcgeCBfAElQOhAuQCWwIPAc4BbQEJANgAzQC0AH0APf///7j/Zv8U/sv+iP5M/h/+C/4Z/kH+Vf4c/Zf9D/zH/K78ifxR/ET8iPzt/Rr87PyL/Cf7yftf+vH6oPp/+nv6ePpq+lz6WPpc+lX6Hvmg+PX4WPfo94T3CPaG9jT2JvY39jr2FfXA9T70q/Qq88PzYvMI8s3yt/Kp8o/yfPKN8rfy2vLn8uvy7vLw8uvy3/LM8rPynfKW8qTywPLY8tvyy/LD8uTzKPNk83rzcvNo82bzZvNj817zUPM68zDzP/Ni84rzufPx9Cb0SvRo9J/09/VS9ZH1t/Xa9gz2TvaW9tn3FPdM94n3y/gQ+FT4lvjX+Rr5Yfmq+e76Lvpw+rr7B/tQ+5r76fw5/IP8yv0Y/Wz9uf39/kH+iP7M/wb/Pv+A/9EALACEAM0BBwE4AWIBfgGQAagB1AIHAi4CRwJfAn8CogLDAuUDBgMfAy8DQwNhA4EDmwOzA84D7AQLBCoESwRkBHUEigSqBM0E6AT6BQkFGgUuBUgFZwWGBZsFrAXBBd4F/QYdBj8GWwZlBl4GVAZUBl4GZwZsBnMGgQaXBqwGuQa8Br8GygbcBu0HAAccB0IHageIB5sHpwevB7MHuAfEB9oH9AgRCC4ISAhgCHcIiwicCK0IwgjhCQoJPgmKCfkKfQrwCzELPgsvCxoLCAr5CuwK0QqYCkQJ9gnKCb0JtQmiCYQJWgkjCO4I0gjQCNMI0QjYCPAJBQj+CNwItgiYCHkIUwgpB/kHvAd3Bw8HEQceBxwHBgbhBrQGgAZIBhUF7gXXBdQF7AYeBmMGsQb/B0gHjwfWCBUIOwg5CBYH6QfBB54HgAdyB3IHbAdMBykHOweYB/wH/weABtIGZgZbBnYGcQZCBg8F8gXmBdUFtQWQBXEFUwUoBOcEmwRUBBcD3QOgA10DEgK9AmMCDQHBAYYBYwFMARYAlv/P/vr+V/33/cH9kv1Z/Rn84fy+/Kj8kPx4/Hr8n/zK/M38nvxd/Cv8D/v/+/L76Pvl++v79fv6+/j79Pv0+/X77/vk+9r70vvA+577eftl+3H7mPvC+9f70PvD+777uPug+3b7T/sy+xj6/frs+ub64/rl+vv7Kvtf+4n7rvvW++f7v/tl+xD65PrS+rH6bPoV+cj5mvmR+ab5vvnB+bX5ufnY+e/5z/l0+Qn4sfhc9+33avbz9pv2TfXx9YX1FPSr9Fb0IfQL9Aj0DfQc9C30LfQI88HzaPML8rTybPIz8ffxqvFR8Qfw2fDB8Kjwd/Ag76TvGe6Y7izt0O2H7VbtN+0Q7MfsWuvf63LrIurr6sHqrOrD6w/ra+ub64brS+sc6xTrJ+s46zTrFers6svqtOqY6m7qPeoQ6eXptumE6VfpL+kC6NDooeh06EToDOfR55fnW+cb5t3mqeZ75k3mGeXg5aPlX+UW5MnkeOQh48Xja+MT4rjiV+H24Z3hT+EB4KrgTN/w353fTt7+3qreVt4C3bHdYN0M3LPcVdv626nbZdss2vbavtqH2lfaKtn92dzZ4dob2mvalNpp2fnZedkb2O7Y2di52H3YN9gE1+vX1tez14fXZtda11zXYtdg10PW/9ak1l7WStZi1oPWmNak1rTWy9bl1wDXJNdU143XzNgT2GrYzdk02ZraBdp22uTbUNvI3FTc391O3aPeAt6C3xTfoOAl4LnhZeIb4srjb+QO5K7lTOXk5nXnBuek6FPpCemy6kPqvesj63vrxevt6+TrwevM7EntIu3z7lfuRu4O7gfuXu8V8BjxUPKd89z09/Xp9rz3aPfV9/v39/gF+Ef4t/k4+bv6QvrJ+0f7t/wb/Hb81P1B/b7+Ov6m/wX/Zv/BAAMALABTAIoAxQD2ASYBagHEAiMCfALWAzoDqAQZBIsFAgWBBgMGfgbmBzkHgQfJCBUIYgitCPoJSQmcCfQKUwq1CxYLdgvbDD8MmAzqDUINqA4YDowPDA+bECkQpxEcEaQSRxLqE24TzRQcFHYU5hViFcYV7hXeFcMVxxXwFiwWaxakFscW1BbjFw0XShd/F68X8Bg6GG8YkxjJGRkZYhmVGc8aIRpiGnoahxqgGqUakhrJG4ocUxw9GxoZsxjCGDwX0RegF+cYWRhuGDcYWhkeGhAashsPG2kbuRvWG9Qb4hv0G94buRvGHAscSBxQHDwcMRwkG/8bxBuJG1sbPBssGyAbCRrpGtUazhq/GqIaixqHGoYacBpRGkMaTBpVGkkaKxoLGfkZ8RnsGeQZ3BneGekZ+RoGGgoaAxnvGdIZsxmVGXkZXBk9GRwZABjxGO4Y5xjRGLIYmBiEGGwYVBhLGFIYWRhSGD4YHxfyF7wXgRc0FsQWThYRFh4WMxYKFakVURUgFP4U1xS8FLkUuhSvFKkUthTIFM0UzhTbFO0U6xTRFKwUgBRMFCAUGxRBFGgUYBQeE8ETcRNBEygTDBLZEpkSZRJNEkoSRBIsEfkRrBFIENcQbhAhD/wP9g/zD90Prg9vDysO6g6tDnUOPA4GDdsNwA2mDXoNOwz9DM8MrwyQDHAMTwwrDAUL7AvkC9wLvwuLC1ILIwsBCuoK3QrLCqQKZAocCeMJ1woMCmYKnAptCe0JdglBCTgJLgkeCRQI+QiyCGAISQhpCGoIEgeRB0IHOwdLB0wHRQc/By8HDQbsBtYGwgakBoYGeQZ+BoQGggZ1BmAGSAY6BjcGOAY5BkUGYgaFBpcGlAaIBnUGVQYnBfwF2wW8BZcFcwVdBVgFWAVVBU4FRgVEBU4FXQVhBVIFOAUjBRYFCQT8BPsFCAUcBSwFNwVABUMFPgU1BTAFMAUxBTQFPAVMBV4FbwV7BYQFiwWXBbAF1QYBBicGPQZIBlAGXQZrBnAGYgZHBi0GJQY4Bl4GhQaiBrQGuwa2BqcGnAaiBrUGuwajBnYGTgY3BikGGgYGBfQF5gXYBcYFsAWYBYMFcAVdBUUFJgUEBOUEywSxBJIEcAROBDIEHgQNA/0D7QPcA8cDrQORA3gDXgM+AxgC8ALKAqUCggJiAkYCKwINAe0BzwGxAZQBeAFbAT4BIgEKAPYA4QDHAKkAigBoAEEAGP/x/8z/qP+D/2D/O/8T/uj+vv6W/m3+RP4e/fn90P2j/XL9Q/0X/Oz8v/yQ/F/8Lvv8+837ovt6+1H7Jvr6+tL6rfqK+mn6S/ou+g756vnG+aL5fvla+TX5D/jp+Mf4rPiV+Hj4V/g3+Bv3/vfc97v3n/eG92z3Ufc39xv2+PbT9rL2mPZ+9mH2QfYg9gH14/XI9az1kPV19Vr1PfUi9Q/1A/T49Oj01/TH9Lf0pvSY9JH0jvSH9Hz0cvRq9GP0YPRk9Gv0bvRs9Gz0dPR99IT0ivSQ9Jn0pPSz9MH0zfTa9Or0//UT9Sj1PvVS9WL1cfWF9Zz1s/XK9eP1/fYV9ir2QfZY9nD2jPat9s326fcE9yL3Q/dd93T3kPez99L37PgG+CP4Qfhe+H34n/i++Nv4+/ke+T75Wfl0+ZX5t/nW+fb6GPo6+ln6e/qd+rz61/r0+xT7NftR+2z7ivun+8P73/v7/BT8LPxG/GX8gfyZ/K/8xfzZ/Ov9Av0g/T39Vf1u/Y39rf3H/d/9/f4g/kT+Zf6B/pz+vP7j/wr/Kv9F/2X/iP+p/8v/9AAiAEoAawCSAL4A6QESAUMBdgGTAZgBmwGsAcEB1wH5AioCWgKCArAC6wMgA0gDcAOgA8QD3wQVBHkE3wUXBS4FTAVxBX0FbgVkBWsFbgVYBRkErQQ0A/MEEQR4BSIGTAgKCdAK2gr4CpAJ1giwB2gG1wdfCCoIBwbLBUwEQAOZAw0CmwJWAh4BzwGBAVkBSQEnAOsApgBdAAr/tf9s/yr+6P6r/nv+Vv45/ib+Df3O/Wf9Dfz0/QX8/vzL/Kj8yf0Q/S389vyT/Dr78fuZ+yz6y/qT+nr6Yvo/+iD6Fvoh+iT5+fmM+Pf4bPgD96X3NfbD9nT2VfZS9k/2MfXg9Vn0w/RK8+/zmfNE8wry9PLo8s7yuvLE8uTy//MK8xPzI/Mx8zDzHfL/8t/yxfK18rHyvvLd8wLzJPNL84bzzPQA9A3z/fPo89jzy/PA87Hzk/Nt81fzXvN585zzzfQP9Ev0bvSE9K/0+vVO9ZP1xvXz9iX2Yvap9vD3Lfdh95r32/gf+GH4ofjh+SP5aPmx+fn6PvqC+sj7DvtU+5777vw9/IL8xf0R/WT9s/35/jz+gv7G/wP/PP98/8gAHwBzALkA8gEnAVkBfwGWAawB0AH+AiQCPgJbAoECqQLLAuoDCgMmAzoDTwNoA4MDmwOyA8wD6AQBBBoENQRQBGcEfwSaBLMExgTVBOQE9AUEBRsFPAVdBXcFjQWkBb4F1gXsBgQGHgYxBjkGPAY/BkAGQAZABkgGXAZ4BpAGnQajBqwGvgbUBugG+wcTBzQHVQdvB4IHjgeVB5kHoQeyB8kH4wf+CBsINghLCFgIYAhrCHwIlgi5CNwI+wkhCWAJvAoZClkKcwp4CnwKggqDCnQKSAn8CaUJZwlWCWAJZAlVCTgJEAjeCKsIhghsCE8IMggxCFEIdwh/CG0IWwhOCDkIDwfYB50HYAcrBucG7QbwBuQGzwa0BpEGYgYuBgAF3gXKBckF3gYHBjwGeAa3BvgHOweEB84IDAgrCCcICgfiB7gHkQdxB1QHNgcgBysHbAfKCAAH1QdQBrMGQQYMBfoF7gXeBcwFuAWcBXMFRAUYBPQEzgSXBFEEDAPUA6QDcwNCAxMC2wKPAjUB3AGTAVwBOwEjAO4Acv+z/uj+Tf3w/bf9if1Y/Sb89fzL/KT8e/xZ/FL8afx//HH8PvwF++T73fve+9z71vvT+9b73/vj++H74fvn++z75vva+9L7zvvE+6/7mPuL+4/7o/u5+8X7w/vA+8P7vPuc+2z7Rvs1+yz7HfsM+vv65vrc+vD7JPtY+3b7i/ur+8H7ovtJ+ub6rPqb+ob6T/n++bj5lPmP+Y75fvll+V75dfmX+aD5evk0+Ov4o/hG98f3PfbL9nj2LPXQ9Wj1AfSj9FP0HvQI9Ar0FvQn9Db0MvQP88zzcvMN8q7yY/Io8erxm/FH8Qrw7PDZ8LDwXO/d70juuO5F7fHtsu1+7U/tGezV7IXsLevP627rF+rZ6r3qyOr/61Prl+ua62HrI+sQ6yXrPutC6zHrEerq6sLqn+p76lDqH+ns6bfpg+lX6TjpGujv6Lfog+hX6Czn+efA54XnR+cF5sjmkuZg5i3l+OXD5YzlTeUI5L7kceQf48rjeeMr4tjifOIb4b/hbOEa4MDgYeAH37bfZ98U3r/eat4W3cHda90Q3LPcWNwK283bmNte2xnaz9qP2l3aL9n/2dzZ5dol2nfamtpl2e3ZbdkX2PLY49jD2ILYNdf7197Xy9eu14fXZddR10rXTtdV10zXH9bV1pHWctZ61pLWp9a21sXW2dby1xHXOtdv16rX6Ngq2HnY1Nkz2ZLZ+dpr2uDbUtvL3FTc2d1A3ZHd89583xbfo+Ao4L/hcuIq4tXjc+QN5KvlSuXl5nbnCOew6HXpPOnb6kjqnOr061Xrruvt7AHr8Ovt7D7s++3c7njupu6c7qXu4+9T7/3w7vIW80H0RvU39jf3O/f7+EP4M/go+GL43Plt+ff6efr2+3D75fxO/K39Cf1y/e3+Zv7N/yb/f//VABkASQB3ALEA7QEiAVsBqAIIAmwCzAMqA48D/gRyBOkFYQXaBlQGxQciB2cHpQfqCDoIjwjkCTgJiwndCjIKjQrqC0QLnwwDDGsMzA0hDXQN1A5FDsoPYxAFEJkRFRGDEfUSbxLqE2kT6xRnFM8VJxV4FbEVuRWcFYsVqRXfFgcWHxY4FlQWbRaTFt0XOBd/F7AX5xgqGF8YhxjHGSEZaBmNGb8aHhp5GqAaqxq/GskawRsAG8ocnRyMG2gaARkXGJQYIhf6GHMZNBl4GSIY4Rk7GfUanRsZG4MbyhveG+scFRwzHBMb3xvnHCscXRxaHEscTxxNHCMb3BuaG2sbUBtEGzsbJRsDGusa4BrRGrUaoBqbGpUafRpiGlsaaBpvGmMaSRouGhkaDRoHGgIZ/hn/GgoaHRorGi4aIBoDGeIZxxmwGZQZdBlWGTwZJBkRGQYY/hjrGMwYrxicGI0YehhrGGYYaRhrGGAYQRgKF8gXhBc6Ft8WhBZTFlAWShYVFcEVexVMFSAU8hTUFMgUuRSoFK4UzRTnFOkU7xUSFTsVQhUdFOkUtxSJFGcUaRSOFKgUiRQuE8ETcRNME0ITNBMOEtUSnRJ3EmQSVhI9Eg4RyRFyEREQsBBhEDAQHhAVEAEP2g+jD2IPGg7WDp8OcA5ADhIN7A3KDZwNYQ0qDQUM6gzHDJsMcQxODCwMBgvjC8kLtwuhC3sLRgsTCvcK9ArwCtUKngpUCgYJ0QnYChkKUgo8CdwJfglXCVEJRAkwCSgJGQjhCI0IWQhXCFYIIQfJB4QHawdoB2cHZAdeB00HMQcTBvsG5AbIBq0GmwaVBpkGnwabBoYGagZWBlAGTAZHBlEGcQaWBqkGpwaeBpAGdgZOBiYGBQXmBcQFpQWQBYIFdQVnBVoFUwVTBV8FbwV2BWsFVAU+BS0FHAUOBQkFEwUlBTkFSAVRBVMFTAVCBT8FRgVRBVoFXQVcBV0FYwVuBXsFiAWZBbIF1wYBBigGRQZbBnEGhgaUBpYGiwZyBlAGMwYrBkAGaQaYBsQG5AbrBtUGtAalBrIGwga6BpgGbQZMBjcGJQYSBf8F7AXZBcUFsAWaBYcFeAVrBVgFOwUXBPUE2QTABKUEhgRoBFIEQQQwBBwECAP0A94DwwOnA4wDcQNPAycC/gLXArECiwJqAlICPwIrAhQB+QHdAcIBpwGKAW0BUgE9ASgBEQD1ANYAtACOAGMANwAQ/+z/yP+l/4H/W/8x/wb+3P61/o7+Zv4//hn98P3D/ZT9Zv07/RD85Py2/Ij8XPwu+/770Pun+4H7V/sr+v/61/qz+pH6cPpQ+i36B/nh+b35mvl6+Vj5NPkN+Oj4yviw+JT4c/hU+Dj4Hff+9+D3xfer9473cvdZ90D3H/b69tj2u/af9oH2YvZE9iX2B/Xq9cz1rvWR9Xf1XfVE9TD1IfUU9QP08vTi9NH0wPS09LH0sPSo9Jz0kfSL9Ib0g/SH9I/0k/SR9I/0k/Sb9KL0qfSy9L30zPTc9Oz0+PUE9RP1J/U69U31YPVx9X71jfWg9bf1zvXk9fz2FvYv9kf2X/Z39o/2p/bD9uD2+vcT9zL3Uvdu94b3ovfC9+H3+/gV+DD4TPhn+IT4pPjB+N34+/kc+Tr5VPly+ZT5tfnS+fD6E/o1+lT6c/qV+rT6z/rq+wv7K/tG+1/7evuV+677yfvo/Ab8IPw4/FD8aPx9/JL8qvzC/Nr89f0W/Tf9U/1r/Yb9o/3B/eL+Bf4o/kf+ZP6A/pr+uP7b/wH/I/9B/2P/hf+i/7n/1//+ACkAVwCJALgA3AD7ASMBTQFmAWkBbwGEAZ0BsgHSAgcCQQJyAqUC3QMNAy4DUgOFA7UD3QQXBHYE1gUKBRsFMgVUBWAFVAVNBVcFUQUdBMMEYQQTA/UEHASSBW0Gxgh2CfAKngprCawIrQebBt4G7QedCAUHZwYSBOoEVAP+A4sDDAKyAnUCNgH8AdkBwQGeAWcBHAC7AE7/9//C/5b/Wv8X/t/+sP57/j/9+v2n/Uv9E/0h/Vr9dv1S/Rr9Cv0l/TD8//yl/FH8D/vG+2f7BPq7+o76aPo7+hL5+/nz+eX5tflV+Nr4afgQ98D3ZvcL9sP2lfZ59mb2RfX69X/0+fSO9Dvz5fOL81HzQvNF8zvzLvMx80HzTfNQ81nzb/OH843zd/NM8yDzAfLr8tzy3PL18ybzY/Op8/r0SfR79IT0cfRV9Dn0IfQP8/jz0POe833zfvOU87Xz5vQq9Gn0jvSk9Mf0/vVA9YL1wvX/9jb2cfa49wX3R/d997T38/g1+HP4sPjv+TH5dfm9+gb6TfqR+tX7GPtb+6L77vw4/Hz8vf0F/Vb9pf3s/i/+df66/vr/Nv90/7oACABYAJsA0gEIAUIBdgGaAbcB2gIEAiUCPgJaAoICrQLRAu8DDgMrA0IDVgNqA38DkwOnA8AD2APsA/8EFgQzBFIEcQSJBJkEowSuBLsEywTcBPMFEwU0BVEFagWEBZ4FswXEBdcF7gYEBhUGIAYmBiUGIgYjBi4GRAZfBngGhwaRBp0GrwbFBtgG7AcFByMHQAdZB2wHeQeAB4QHjwejB70H1gfwCAwIJwg2CDkINgg6CEsIawiRCLAIvAi/CNAJAAlCCX4Jogm2CccJ1gnaCcoJnglbCRcI8QjyCQQJCQj6COAIwAiWCGUINQgDB8kHnAeaB8YH9wgIB/oH6QfcB8QHmwdpBzgHDgbxBsgGywbFBrUGpAaRBnIGRQYWBfIF2gXMBckF0wXjBfsGHQZPBowGzwcZB2sHugfzCAoIAAffB7UHigdaByMG8wbsByUHggfGB78HdAcJBpsGLgXIBYIFbwWABY0FegVHBQcEyASRBGEELgPyA7IDfANUAywC/QLSArAChwJFAewBlQFPAR8BAQDmALAAPv+V/ub+Xv4F/cf9lP1k/Tb9BfzU/KP8cvxH/C38KPwm/BL77PvI+7f7t/u++8P7xfvE+8f7y/vO+8770vvc++H72vvN+8f7xvvB+7j7rvun+6P7pfur+7P7uvvE+877xPub+2f7SftE+z77JvsE+uP6yfq/+tj7EPtC+1b7XPtw+4f7ePsv+s76iPps+ln6Kvne+Z35hPmG+Xj5R/kT+Qn5KflK+UD5D/jV+KX4bfgS95T3Efar9mD2FfW79Vj0+vSk9Ff0HvQD9Af0HPQ19EX0PvQW89Hzd/MU8rLyXvIZ8dTxifFG8SDxEPD18KnwI+957s7uQe3d7Zvtb+1P7Sjs6eyT7EDr/+vD63brIOrl6t/rDOtW65vrs+uL60XrGusl60jrVetC6yPrA+re6rLqh+pf6jjqCenS6ZjpZOk+6SXpC+jf6KbocOhE6Bnn5+ew53bnOOb45rvmg+ZL5hHl1+Wj5XDlN+T35LDkZeQW48jjgOM64vDim+I/4eThjeE34NzggOAn39Lffd8n3tPegN4r3dPdd90Z3LzcZ9wl2/PbxNuD2y/a2dqV2mXaOdoJ2eLZ5toh2nDaktpg2enZadkV2PTY6djM2I7YQNgB193Xxter14jXZddJ1zvXP9dO11PXO9cG1s3Wqdai1rDWxdbY1ufW99cO1y7XWNeK18PX/tg92IbY2dkz2ZHZ+tpx2urbW9vL3ELcud0h3X7d8N6B3xrfouAm4MLhd+Iv4tXjb+QJ5KjlSOXi5nPnBOey6IbpWenz6kfqgOrP6zfrn+vw7BzsIOwY7Ejs3u247nvu7e8k70/vgu/B8Cvw5vHn8ujzvfSI9Yn2u/fE+E/4afht+KP5EfmV+hn6mvsa+5b8Dvx+/OH9Pv2i/hX+jf73/1D/of/tAC8AaACiAN8BGgFTAZUB6gJPArgDHgODA+wEXgTXBVEFwwYtBpgHAgdcB54H0wgQCF4ItgkPCWcJvAoQCmQKvAsUC20LyAwsDJMM9Q1PDacOCg6DDxkPyBB3EQsRgBHmEkMSlBLmE1oT/RSlFR0VYBWMFaoVqBWNFYkVshXhFesV3xXpFhEWQRZ2FscXJhdtF5cXxhgGGEAYbhizGRMZXxmEGbAaCBplGpkatRrcGvEa5RsXG9gcrRyfG28Z8Bj1GHUYExf5GIcZcBnoGaoZShlfGeYajBskG54b3RvoG/4cOhxfHDscBhwUHFgcfhxvHGMcdBx3HEUb8BujG3EbWhtVG1EbOxsYGwEa+xrxGtkawxq6GrAamxqGGn0aehpxGmQaWRpLGjYaJRofGh8aHxojGjAaRBpSGlMaQhohGf0Z4RnJGasZhRlnGVIZQBkqGRkZDxkAGOQYxxi5GLMYphiNGHYYbRhwGG4YUBgTF8cXhhdNFwsWwBaGFmUWQBYCFboVhBVbFS8VBRTxFOkU0hS2FLcU3RUDFQ4VGBU/FXEVgRVgFSkU9RTOFLwUyBTkFOgUtBRNE9wTiRNlE2ITXxNDEwwSzRKbEn0SaRJMEh8R5RGhEVEQ9BCbEFwQPhAuEBUP7g+9D4QPQA79DsYOnQ50DkUOFg3oDbYNgA1QDTANEwzrDLUMgwxcDDoMDgvdC7kLrwuvC5kLZAspCwgLBAsDCu4KwAp5Ch8J1gnSChcKWwpOCfMJmQl2CXIJYwlMCUQJOwkJCLIIawhXCFoIRAgJB8cHmweIB4IHfwd5B2sHVQc+ByQHCQbvBtgGxQa5BroGxAbHBrUGlQZ7Bm0GYQZYBmAGfgahBrQGtAasBp8GiQZrBksGKwYLBesF0AW8BaYFiwVyBWEFXQViBW8FfQWDBX0FbAVYBUMFMAUhBRoFHwUsBTwFTAVaBWIFYQVZBVQFWwVsBXoFfAVyBWgFZgVvBX4FkQWlBb4F3gYCBiQGQAZbBngGkQagBqMGnwaWBoIGZgZRBlEGagaUBsYG9wcRBwUG2wazBqYGrwa0BqQGgwZeBkEGLQYdBgsF9QXeBcYFsAWaBYkFfgV0BWYFTwUwBQ8E8wTZBL8EoQSHBHMEYwRPBDQEFwP8A+QDyQOuA5MDeANYAzMDDQLoAsUCowKGAnICZQJWAkICKQIPAfYB3QG/AZ8BgAFmAU4BMwETAPEAzgCmAHsAUAAsAAr/6f/H/6P/fP9R/yT++/7V/q/+hv5e/jb+Df3f/bD9gv1W/Sz8//zS/Kb8fvxU/Cj7+/vT+7D7iftc+y77Bfrh+r36mfp1+lD6KvoD+d35u/mc+X75Xfk4+RP48/jX+Lr4mfh6+F74Qvgl+Af37PfO9673j/d29133PfcY9vb22fa99p/2gfZk9kb2J/YI9er1zvWz9Zv1hPVt9Vj1RvU19SL1EPUA9O/03fTP9Mr0yfTE9Lr0s/Su9Kn0pfSn9K/0tPSz9LD0svS49MD0yvTW9OP08vUD9RP1IPUr9Tr1TPVf9XD1f/WO9Zz1rPXA9db16/X+9hT2LfZI9mH2e/aW9q72xfbc9vT3C/cj9z/3X/d995f3svfR9/D4C/gm+EH4XPh2+JL4rfjH+OH4/vke+Tr5VPly+ZT5s/nO+ev6DPot+kn6Z/qK+qv6xvrg+v77HPs2+1D7a/uE+5r7svvQ+/D8C/wi/Dr8Ufxl/Hr8lfy1/NX89v0Z/T39Xf13/Y39pf3C/eX+DP4v/kz+Zv6C/p3+uf7a/v7/Hf84/1f/ef+V/6j/u//YAAMANwBvAKAAwADYAPgBHAE0ATwBSAFiAYABmgG9AfMCLAJdAo0CxALzAxIDNQNuA7AD5QQbBGYEtQTmBPsFEgUwBT0FNwU3BTgFFgTDBGgENQQqBDcEawTzBfYHagj+CjAKlQodCRQH4QbyBqYHDQefB5IGrAWGBNkEswSYBDQDqgM5AusCqgJxAkgCKgIMAd8BkAEYAJYAPAAX//3/x/9//0T/F/7j/pb+Mv3A/Vn9JP07/YH9r/2a/Vn9Kv0p/TX9HfzY/Ij8Qvv8+6L7PPrl+qv6gvpd+jf6E/nx+cb5hPkp+MX4bPgk9+D3l/dN9wz21fan9oD2U/YG9Zf1I/TI9Hv0I/PH85DzjPOg86rzpfOg85/zm/OX85/zvPPf8+/z2fOk82rzQvMr8x3zHPMy813zlfPc9DT0ifS/9Mr0uvSf9ID0YfRI9Czz/fPF86HzofO589r0CPRF9IH0q/TJ9On1EfU+9Xb1u/YB9jv2dPa89w73V/eR98n4B/hG+IL4vvj8+Tv5fvnG+hH6Wfqc+t/7JPto+6z78Pw2/Hr8vf0F/VH9nP3j/in+cP62/vn/N/9y/6//9QA+AH0AsQDmAScBagGfAcYB7AISAi4CQgJaAoACqwLRAvADDAMmAzsDTQNgA3IDhQOZA7ADxwPZA+oEAAQdBD8EXwR2BIIEiQSRBJ4ErQTABNgE9QUSBSwFRgVjBX0FkgWlBbkFzgXkBfcGBgYPBhIGEwYZBiUGOQZQBmcGeAaDBo0GmAajBrAGxAbhBwQHJAdAB1UHYwdmB2kHdAeJB6IHuAfPB+oIBQgUCBcIFggbCC0ISghqCH0IeghoCGIIfQizCOwJEgklCSsJLAkmCRUI9gjLCKMIjgiSCJwImwiOCH0IaAhGCBcH3geZB1IHJAcrB2EHlQejB44HcQdWBzsHHAcABugG1AbIBqwGrAakBpYGigZ5BlsGMgYOBfcF6AXcBdMFyAW7BbIFwAXnBiAGYQaqBv4HUQeTB7gHvgeqB4YHWAcdBtkGpQasBvcHTgdqBzoG8Qa5BoIGIAWcBTcFIwVFBVoFOwT3BK4EbQQvA/ADsANzAz0DEwLxAsgCkwJiAj8CGwHgAY4BPAD8ANAAsgCWAGMAA/95/ur+dv4g/dn9mv1j/S389Py5/IL8UPwf+/P70/u++6/7ofuU+4r7iPuO+5r7o/un+6j7rPux+7X7vPvF+8j7wvu7+7j7uPuz+6z7qPul+6D7nfuf+6f7s/vH+9n7zvuf+2v7VftX+0f7FfrX+qz6mfqd+rz68fse+y/7MPs8+077RvsN+rf6bPpE+i/6CPnF+Yf5c/l7+Wv5LPjm+M/45/j4+Nr4m/hk+ED4FvfL91/27/aR9kb1+/Wo9VP1A/S29Gf0JfQC9AT0H/RA9FL0RvQW88vzdPMY8rjyWfID8bjxe/FQ8TnxI/Dq8HPvw+7+7lDtz+137TztFOz97OLsrOxd7BXr6evH643rQ+sW6ynrbuu269jrweuA60DrLutJ62XrXus76xfq+erT6qLqcupK6ibp+unI6ZPpYuk76Rzo+ujO6Jvoaeg66Ajn0+ee52nnL+bx5rPmduY55fnlu+WG5VTlH+Tj5KHkWuQQ48jjhONC4vrirOJX4gHhq+FU4P7gpuBN3/Lfld893urel94/3eDdgN0j3MvcftxB3A/b2tuR2zja4dqg2nHaRdoR2eTZ3doN2lzai9pp2fzZe9kg2PvY7tjQ2JPYSNgK1+HXxdep14jXZNdE1zXXPddT12TXXNc81xHW7dbb1t3W79cD1xHXHdcy11LXedek19fYEdhQ2JXY5Nk+2aDaDNqC2vfbXdu63Bzci90A3Xjd/N6N3xnfmeAe4L3hcuIk4sbjY+QC5KPlQuXb5mrm+uen6H3pV+n06kLqceq96yzrn+v87DnsUOxR7Gzs1+2R7mDvC++K7+nwKvBZ8KTxPPIR8t7zePQJ9N31+/cZ9+X4WPin+QD5Z/nR+j/6vPtD+8b8O/yk/Qj9Zv3H/jD+of8P/27/vgADAEUAiwDTARcBVAGSAd0COgKfAwgDcQPZBEQEtgU0BbAGGwZ2BtIHOAeYB+EIFwhPCJQI5gk7CZIJ6gpACpUK6gtCC58MAgxmDMQNGw12DdoOSg7OD3AQKhDdEWkR1BI2Eo4SzBMDE2gUEhTLFUsViBWoFb0VtBWTFYkVqxXPFcoVthXGFf4WOBZqFq8XBBdHF2wXlhfXGBkYTxiTGPIZSBl7GagZ7ho4GmwaohrpGxIbBxsnG9IcmRyBGzUZgBhTF8wXiReJGA8Y6xl/GYQZWRl1GegaiBszG8EcAxwGHBccUhx6HGEcPhxaHJkcrByNHHwckRyZHGkcEhvAG4kbbRtoG2QbThstGxkbFhsPGvsa6RrfGtUaxBqzGqUakxp9GnEabxpmGk8aOho2Gj0aRBpNGlwabhp4GnYaZhpHGiEaABnkGcIZmhl6GWcZVBk7GSUZGxkRGPwY4hjVGNIYyBivGJEYfxh8GHcYWBgXF84Xmhd2Fz8W6haXFl4WMxX8FbwVhhVaFSsVBxUCFQ4VAxTkFNoU+RUmFTwVRBVZFXsVjBV5FU4VIRUFFQIVFBUiFQ0UzBRrFAITrBN9E3UTeBNlEzES7hK3EpUSfBJbEi4R+xHGEYMRLBDMEH8QUhA1EBMP6Q/AD5cPZQ8qDvMOyA6fDnAOPA4HDdMNoA11DVMNMg0DDMkMkAxkDEAMGAvoC8MLuAu7C60LfwtKCyoLHQsQCvcKzwqQCjsJ/AoTCnoKzwqwCi8JswmDCYEJeQllCV0JVgkqCNYIighsCG0IYgg1B/YHwweoB6AHnQeUB4cHeAdmB00HMAcVBv8G7QbhBuAG6gbtBtwGvgaiBo0GewZvBnQGiwanBrcGuQawBp4GiAZyBl0GRgYqBg4F9QXeBcMFogWCBWwFZAVqBXYFgQWGBYMFegVpBVQFQAUzBS8FMAU0BTsFRwVYBWgFcQVuBWcFaAV2BYQFhgV9BXUFdwWBBY0FmwWsBcIF3QX8BhkGMAZHBmMGgAaTBpsGoAakBqAGjwZ5Bm4GdQaNBrQG5gcTByAHAwbPBqUGmAaeBqAGkAZzBlUGPgYsBhkGAQXnBc0FsgWbBYsFgwV9BXIFYgVNBTQFGAT6BNoEuQScBIYEdgRgBEAEHAP9A+MDywOxA5kDgQNoA0oDKgMMAu4C0gK6AqkCmgKIAnACUwI4Ah8CBQHlAcEBngGCAWcBSgEoAQQA4AC4AI0AYwBAACEAA//k/8H/mP9s/0H/Gf7y/sv+of53/lD+J/38/c39nf1w/UX9Gfzr/L78lfxv/Ef8Hvv5+9j7tPuJ+1z7NPsQ+uv6xPqe+nr6Vvou+gb54fnB+aL5gvlf+T35HvkB+OL4wvij+If4avhL+C34EPfw9873rfeS93j3WPc09xP29vba9rz2nvaB9mP2RPYm9gz18/Xa9cP1rvWY9YP1b/Vc9Uj1NPUj9RL0//Tu9OX04vTg9Nv01vTR9Mr0xPTE9Mr00PTR9NH01fTb9OP07fT59Qj1FvUm9Tb1Q/VQ9V71cfWD9ZH1n/Wu9b710PXk9fj2CvYa9i72R/Zh9nr2lPav9sj23vb09wv3Ifc290/3bveN96j3w/fh+AD4Hfg4+FL4bfiH+KH4ufjQ+On5BPkh+Tv5VPly+ZP5sPnK+eb6Bfoj+j76W/p++p/6u/rT+u37CPsh+z37Wvt1+4r7n/u7+9j78fwI/CP8QPxa/HL8j/y0/Nn8/P0e/UD9Yf1//Zj9rv3H/ef+C/4t/kn+Zf6C/p3+uf7Y/vr/Fv8s/0X/aP+I/57/rv/H/+8AHwBQAHkAlACqAMUA5wECAREBIwFAAWMBhwGyAeYCFgI8AmgCowLXAvgDGgNYA6oD7QQdBFAEjAS7BNgE8QUMBR8FJAUgBQUEwARmBDcEUQSOBL4E+AWKBqAIFQmKCo8K0wo6CQAHqAbKBrIHHgdnBwoGKQVjBSMFOwU1BN0EWgPhA34DKgLkAq8CiQJrAkIB9AF3APIAmQB0AFkAJf/i/63/iP9Z/wf+kP4I/Y79Sf1K/Xn9oP2U/V79Lv0s/Uj9T/0i/NP8gfwu+837X/r/+sL6ovqK+mr6QfoO+c/5gPkm+ND4iPhL+Az3xveC90P3CvbS9p72Y/YQ9ab1QPTx9Kr0VvQB89Dz0vPs8/3z+vPr89vzzfPI89Tz9PQc9DH0HvPo86vzgfNt82fzb/OF86HzwfPz9EH0lvTP9N701PTB9KX0hPRl9ET0FfPg87/zxPPh9AX0L/Rk9Jr0x/Tu9RP1NfVX9Yb1yPYL9kL2dva59wr3VfeT9834CvhJ+If4xPkC+T/5f/nJ+hb6X/qh+uX7Lvt2+7j7+Pw7/ID8xv0O/VX9nP3j/iv+c/65/v3/PP92/7D/8AA0AG8AnwDUARoBaAGpAdcB+wIcAjUCRgJaAnwCpgLOAu4DCAMdAy0DPgNQA2QDeQONA6IDtgPJA9wD9AQQBC8ESgRdBGoEdASABI0EnASuBMUE3ATzBQoFJgVDBVwFcQWFBZsFsgXIBd0F7wX6Bf4GAQYHBhEGIQY2Bk4GZAZzBnwGgwaJBpIGpQbCBuQHBAcgBzUHPwdAB0EHTAdiB3oHjwemB8QH4wf6CAcIDwgaCCkIOwhKCEwIPAgkCB0IOAhuCKQIwwjHCLoIpgiSCIAIbghYCEMINgg0CDUIMAgoCB8IEAfxB8IHhQc/Bv0G2wbsByEHTgdVBzsHFwb3Bt0GzQbFBr0GswasBpEGkAaKBoMGfAZuBlMGNQYeBhAGAwXzBd8FxQWjBYsFjwWwBdwGDwZOBpoG4gcaB0EHVgdUBzcHBAbFBoUGXAZpBqQG2AbQBpkGbwZoBlYGAAV9BR8FEwUxBTIFAAS5BHwERgQFA7YDZwMjAu8CxwKiAnICNQH6AcsBoAFnAR4A1wCdAHIAUgA1AAv/wP9V/uD+ef4h/dD9g/0+/Pz8t/xy/DL7+vvC+4j7Vvs2+zD7OftC+0H7P/tH+1j7Zvts+3D7evuG+5D7l/ud+5/7n/ug+6P7ovua+5L7kfuR+4/7kPuV+5v7qfvG++b75Pux+3f7Yvtm+0v6/vqm+nX6cvqJ+qv60vry+wP7C/sV+xz7CvrU+oj6QvoY+gb57fm6+YP5bfl2+Wn5J/jU+Kn4qfij+Hb4NPf/9973uvd/9y320vZ79iz14vWa9Vj1GPTS9IL0OvQS9BL0LfRL9Ff0QPQD87HzXPMH8qnyQ/Hk8Z7xcfFV8TjxAvCe8ATvRe6G7ertfe0x7Pbsx+yr7JnsfOxL7Brr+evc663rd+tl64/r1ewD6/nrwOt760/rUOtp63PrXOs26xXq+OrP6pjqZOo86hjp8enH6Z7pc+lF6Rfo6ei86JDoY+gw5/jnwOeN513nJ+bq5qvma+Yq5eflqOVu5TjlAuTI5IrkR+QD48PjheNC4vnireJg4hLhweFv4R7gzeB04BTfs99a3wber95Q3erdh90t3N3cl9xZ3CDb39uQ2zra69qt2n3aTdoV2eLZz9n12kfaiNp82hjZk9ky2QjY9tjR2I7YRNgI1+HXxNeo14fXY9dF1zrXSddn137Xgtdy11XXNdcc1xXXIdcw1zfXPtdS13TXmdfA1/HYLNhs2K/Y+9lW2bzaJtqS2vnbUtui2/3cctz73YveGt6i3x/flOAX4LPhX+IH4qfjSuPy5JjlN+XS5mbm+Oeh6HHpSunw6kXqdeq+6y7rpuwK7FLsfOyQ7Kjs7+127i7u9O+x8E7wvvEN8Wrx9/Kh8y/zi/Pe9Gr1PfYx9xf35viq+V355/pH+p37C/uO/Ar8bfzB/Rz9f/3l/kn+sf8d/4L/1QAYAFwAqwEBAU8BkwHcAjQClgL5A1sDvgQjBIwE/gV9BfwGZga4BwoHagfPCCUIZwihCOEJKQl5Cc0KJQp8CtELJgt+C+EMSgytDQANTA2oDhsOmg8iD78QcBEVEZQR+xJmEtETHRNRE6UUNxTeFVsVohXQFegV0xWbFXgVhhWeFZkVjBWkFeEWGxZGFoAW0BcTFzoXYxelF+4YKhhpGL4ZGBlcGZQZ1BoTGkkajBriGxsbHBs8G9EcdxxBGtAY3RdsFssWqRbQF0sYABiZGPEZNRmSGgkamRtFG+ccORw9HD0cZxyQHI4chxytHN8c2xyrHJAcnhyoHIMcPBvxG7UbjxuBG3sbaBtMGzobMhslGxAbAxr+GvMa4BrRGscauBqmGp4amxqLGm0aWBpaGmUabRp2GoUakhqWGpAaghplGjwaFhn5GdoZtxmYGYMZbxlTGToZLhkoGRgZAhjxGOcY3BjNGLoYqBicGI0YahgqF+YXvxeoF24XABaRFlQWPBYaFd4VnRVlFTEVDhUSFTEVPBUjFQsVHRVLFW0VdBVxFXQVeRVwFVcVOBUnFTAVQRU8FQ4UxBRwFBkTxxOOE3sTfRNxE0MTBBLMEqUShRJfEjISAxHWEaARUxD2EKAQZRA8EBQP6g/HD6oPhg9WDyEO8Q7FDpYOYQ4qDfUNxw2hDX4NVQ0hDOQMqQx4DFQMMAwHC+ALzAvIC70Lngt6C18LSQsqCwkK5wqyCmMKLgpcCtsLMwr4Ck4JtAl6CX4JfwlvCWcJYAk7CPQIrgiJCH4IbAhECBAH4wfKB8EHvAexB6IHlAeGB3MHWQc+ByYHFAcIBwYHCgcJBvsG5gbOBrcGnwaPBowGlwamBrEGtAaqBpQGfAZqBl8GUwZBBikGDwXzBdYFuQWbBX4FbAVqBXMFfQWBBYAFfAVvBVsFSgVDBUIFQgU/BT8FRQVRBWIFcQV0BW8FbQV2BX8FfgV5BX4FjwWhBagFqQWtBbsF0wXwBgsGHQYqBj8GWwZ2BoYGkQabBp0GkgaBBngGewaIBp8GxQb3BxwHGwbzBr4GmQaRBpcGlwaJBnMGWwZDBioGEAX3BdoFugWgBZAFigWDBXoFbwVkBVIFNwUTBOwExgSlBI4EfQRoBEsEKAQJA/ED2gPCA6wDmQOGA28DVQM7AyIDCwL1AuACzAK0ApYCdAJUAjgCGwH6AdUBsgGVAXsBXgE7ARUA7wDHAJwAcgBOAC8AFP/3/9b/sP+G/13/Nv8P/uT+uP6N/mf+Qv4Z/ez9uv2K/V/9Nv0J/Nn8rfyG/GH8PfwZ+/j71vuu+4X7X/s6+xP66/rG+qX6g/pc+jL6DPnp+cj5pvmD+WP5RPkl+QX45fjI+K34kPhv+E74MPgS9/D30Pez95j3ePdU9zP3Ffb49tr2vPag9oL2Y/ZH9jD2GvYC9er11PW/9ar1lvWD9W71WvVI9Tj1KPUX9Qv1BvUE9QH0+/Tx9Of03/Te9OP06fTu9PT0+vUA9QX1DvUb9Sr1OfVI9Vj1ZvV09YP1lfWl9bP1wPXQ9eL19fYI9hr2KfY59k32Z/aC9pn2r/bH9t729PcL9yP3OfdN92T3gPed97j30vfw+BH4MPhL+GT4fPiU+Kz4xPjb+PP5Dfkn+T/5WPlz+ZD5q/nF+eL6APoc+jT6UPpy+pL6rfrF+t769/sQ+yz7S/tn+377k/ut+8f73fvz/BH8NfxW/HT8lPy5/N38/v0d/Tr9Wf14/Zf9sf3K/eX+Bf4l/kH+Xf57/pf+sv7Q/vD/C/8e/zT/Vv97/5X/q//I/+8AFwA2AE4AYwB5AJUAuADXAO0BAQEdAUIBbwGgAdEB9gIVAkMChQLAAuIDAANAA5oD5gQQBDEEYASSBLcE1ATyBQwFEwT7BL0EagQ2BFYEwgUuBWkFpAY9B1YIuQoJCvELJgp8CSYHvgbwBukHOgdJBtoGOQXUBcgF2QXEBXYFBgSMBBYDrwNfAyIC8gLKApoCSwHaAWYBEwDjALsAiQBTACgAAf/J/27+7/5f/d39hf1j/Wv9ff13/VP9M/08/Wj9hP1l/Rb8tvxU++f7dPsX+uP6y/q1+pP6Zvow+e/5oPlJ+Pj4tfh6+Dr39Pes92v3Lfbz9rz2ffYq9cj1bfUo9Ov0ofRX9Cr0JvQ19D30MPQW8/zz6/Pp8/f0E/Qy9EP0NfQK89zzvPOv86/zv/PX8+Xz5/P79Db0g/S59Mr0yPTB9K/0jvRo9EL0FfPo89Dz3PP+9Cb0UfSC9LX04/UP9Tn1XvWA9a716vYn9lf2hfbA9wj3TPeJ98T4AfhA+ID4wvkC+T75fPnF+hT6Xfqg+uX7L/t6+777//xB/Ib8zf0U/Vj9mv3f/ij+cf62/vj/OP92/7L/8wA3AHEAoADUARsBbQGyAeAB/wIcAjUCSQJeAnwCogLJAukDAQMUAyQDNgNKA14DcgOFA5YDpwO5A88D6AQEBB4EMwREBFIEYgRyBIAEjQScBK8EwwTXBO8FDAUnBTwFSwVbBXEFigWlBcEF1wXjBeIF3gXdBeQF8wYLBioGRgZbBmsGdgaABosGmwayBssG4wb5BwoHEwcVBxgHJwdAB1sHdgeTB7QH1gfyCAUIEwgfCCgILwgyCCoIFQf+B/kIFQhHCHMIhAh6CGIIRwgxCCEIFggJB/oH7QfmB+MH3wfaB9AHvQedB3IHQgcOBuMG0gbkBwgHIQcfBwkG7QbSBr8GtgazBqsGnQaTBn4GfQZ6BngGdwZuBlsGSAY7BiwGFQX8BeQFxQWjBZAFmQWzBcwF5wYTBk0GggapBswG7gb6BuAGqAZqBjoGJQYuBkYGSAYlBf0F9gYIBfwFsQVOBRYFGAUkBQkEzQSUBG4ERAP8A5sDOgLoAqoCegJNAhoB3AGbAV0BJADoAKkAbgA7ABD/7f/R/6//df8e/rn+V/39/aX9TPz3/Kf8WfwL+8H7fvs8+vf6tvqP+o/6rfrN+t365Pry+wf7Fvsf+yz7QvtY+2T7a/tx+3f7fPuC+4X7gvt6+3b7ePt4+3f7fPuD+4f7lfvA+/j8BfvQ+4n7bftz+1P68vqD+kz6V/qC+qf6vfrM+tz68Pr/+vj60/qZ+ln6IPn7+e353/m8+Y35dvl6+Wz5KfjM+Iv4cPhX+Cb37PfA95/3ePdC9wH2t/Zp9hv10vWS9Vr1I/Ti9JX0UvQw9DL0R/RX9FH0KvPh84bzLPLY8nzyGPHB8YnxaPFF8QnwqPAg73juxu4j7aTtTe0S7N7sqeyB7HDsbuxk7ErsJev668/rsuu+6/DsI+wr6/zrtet962nrdOuB63rrXOs56xvq++rL6pLqXuo16hDp7OnM6a7piOlU6Rjo3+iv6IXoWegl5+vnsueB51LnHObg5qHmYuYg5dzlmuVc5SDk5uSs5G3kKePp47Hje+M84vLip+Jg4hrh0OGF4Tvg7uCX4Dbf1d963yLexd5g3ffdk9083PHcrtxu3Crb3duK2zna8tq12oDaTtoZ2eXZytnm2jjahtqH2ibZn9k+2RnZCNjZ2IrYOtgB197Xw9en14fXZtdM10bXWdd615XXn9eY14TXaNdP10bXTddX11jXWddq14vXsdfa2AvYSNiI2MfZENlp2c3aLtqJ2uLbOtuV3ADchN0b3bTeQt7B3zPfoeAZ4KbhQuHh4oPjLePd5IrlMeXW5nbnDeeu6G/pQenu6lHqhurI6zDrp+wN7FrslezE7O3tIe117fvutO+J8FjxB/Gg8j7y5vN489Hz+PQZ9F700/Vy9j/3RPh0+Zn6c/rv+zv7kfv+/GH8ovzX/SP9jv3//mf+yP8v/5X/7AAyAHcAywEnAX8BzwIlAocC7wNPA6gEAAReBMMFNwW4BjoGpgb6B0UHmwf8CFoIrQjyCTMJdgnDChYKawq+CxMLagvEDCYMkAzyDUQNkw36DnwPAg+AEAIQkREaEYsR9xJ9ExAThBPNFBQUfBT3FWIVthX7Fh4WARW2FXkVahVuFV8VSxVWFYgVwhX4FjkWhxbJFvQXIBdjF64X7BgnGHIYxxkSGVcZoxnyGjkafxrMGwcbJRtdG9scQxvYGkwYORaTFdMVzxY1FswXcBgMGKgZTxnnGlcawRtZHAIcaRxzHGccfxyoHLwcyxzyHRIdABzLHKkcrByuHJAcWRwZG9wbrxubG5UbiRt2G2YbVhs+GycbHhsaGwoa7xreGtwa2xrVGs8axRquGpAagxqKGpIakhqVGqIarhqvGqkamhp7Gk4aJBoHGe8Z0xm4GaMZjhl0GV0ZThlDGTUZJBkRGP4Y8BjrGOcY2BjCGK0YiRhIGAAX3BfTF58XJBaiFmYWYxZSFhMVxhWJFVgVNBU1FVcVbxVcFToVOxVmFZUVphWaFYcVeRVvFV0VRRU4FUMVUhVBFQMUsRRlFCAT2xOjE4kThhN6E1UTHBLhEqwSfhJUEisSBBHdEbARcBEcEMUQgBBQECsQBg/iD8EPnQ9yD0IPFA7oDroOhg5NDhcN7Q3ODawNfQ1EDQcMzQycDHYMUgwoC/wL3wvVC88LwQutC5gLewtSCy4LEgriCo8KTApmCtULHwrhCj8JtQmKCZUJlAl/CW0JXwk+CQcI0AioCIsIawhGCCEIAgfsB98H1wfLB7oHqQedB5EHgAdqB1MHPwcyBysHJgchBxkHDgb9BuMGxAasBqAGngahBqcGqwakBpEGewZrBmMGWwZOBjkGGgX5Bd8FzgW5BZkFeAVpBW0FdQV4BXkFdwVvBV8FUwVRBVMFUQVNBUoFSgVOBVgFZQVsBW0FbwV1BXgFcQVtBYAFpgXGBc8FxQW7BbsFygXjBfwGCwYRBhoGMQZPBmgGeQaEBokGgwZ6BngGgQaPBpwGsQbVBwAHGwcQBuUGtAaVBo0GjgaMBoMGcgZZBj0GIgYJBesFyAWoBZcFjwWHBXsFcQVqBVwFQQUdBPYE0gSzBJoEiQR3BGAERAQqBBMD/APkA88DvQOtA5kDgQNoA1ADOQMgAwcC7QLRArECjwJsAk0CLwIPAesByAGqAY8BcQFOASUA/QDVAKwAhABgAEAAJQAK/+z/yf+j/37/V/8s/v7+z/6l/n7+W/42/gv92f2o/Xz9Vf0q/Pn8yvyi/H/8W/w2/BL78PvM+6f7gvtc+zX7Dfrr+s36rPqG+l76OvoX+fT5z/mr+Yn5aPlG+ST5BPjo+M74sfiP+G74Ufg1+Bj3+ffb9733m/d391b3OPca9vr23PbB9qP2hfZr9lX2QPYm9gz19fXh9cz1uPWm9ZP1fvVs9V/1U/VG9Tr1MvUu9Sn1HvUQ9QP0/PT69P71BPUL9RT1HfUi9ST1K/U59Ur1XPVs9Xz1ivWX9ab1t/XG9dP14vXz9gb2F/Yo9jj2SfZa9nD2jPam9rv2zfbh9vb3C/cg9zj3T/dk93r3k/et98b34PgA+CL4Q/he+Hb4jPig+LX4zPjm+P75Ffks+UT5Xfl2+Y/5p/nB+d75+/oW+i76Svpp+ob6oPq5+tX68PsK+yX7Qvtf+3f7jvun+7/71Pvr/Ar8MPxW/Hj8mvy7/Nv8+v0Y/TP9Tf1q/Yr9qf3D/d39/f4c/jf+UP5t/or+pf7B/t/++f8N/yT/RP9o/4T/nf+//+kACwAdACgANwBNAGsAkAC1ANIA6AEBASQBUgGDAbAB0wH0AiYCagKnAsoC6AMnA4MDzwP2BA8EOgRyBJ8EwATgBPgE8QS8BGsEMQRGBLkFVAXIBgMGTgb7CBIJUgpyCzALRQqACRsHxAccBy4HdAd0BygG1wauBpsGfAZIBgEFoQUjBJ4ELwPfA6UDcQM+Av8CqgJHAekBoAFmATEBAgDZALAAewAx/8n/SP67/jn91/2d/Yj9h/1//WL9SP1U/YL9o/2L/T383Px2/Aj7m/tK+yD7C/rv+sP6kfpd+iH51vl/+Sv44vih+F34FvfN94j3RvcK9tX2nfZV9f/1svV59Uf1CvTK9Jv0ifSD9Hj0XvQ79Bz0CvQJ9BP0IPQu9DX0LvQb9Ajz+/Py8/P0BfQe9CP0D/QF9Cb0Y/SQ9KD0qPSy9K70jvRe9Cvz/PPV88jz3fQG9DT0Y/SX9Mz0/PUp9VX1f/Wo9dj2EfZK9nr2p/ba9xL3S/eD9733+fg1+HX4u/j++Tz5efnA+gz6Vfqa+t/7Kftz+7v8AfxG/Ir80P0V/Vb9lf3V/hr+X/6i/uP/JP9m/6j/7gAzAG8AoADTARgBaAGsAdsB+wIYAjYCUQJpAoMCowLDAt8C9gMKAx8DNQNKA10DbgN/A5ADoAOyA8cD4QP8BBQEKAQ4BEYEVwRnBHQEfgSKBJoErgTDBN0E+QUPBRwFIgUsBT8FWgV8BZ8FugXDBb0FswWuBbQFxwXlBggGKAY+Bk4GWQZjBm0GegaLBp4GsQbFBtkG5wbwBvsHDgcqB0sHbAeNB64HygffB+0H+AgBCAkIEggbCBwIDwf8B/UIBwgnCD8IPggrCBQIAgf1B+wH5AfWB8QHsQemB6IHnweZB4sHdAdYBz4HKQcWBwgHAwcKBxEHDQcABvEG4AbNBrwGsgaoBpkGiAZ+BncGeQZ5BnsGfgZ4BmoGXQZPBjcGFQX3BeEFygW0Ba4FvwXSBdcF3AX1Bh0GPQZTBnEGlAajBocGTgYZBfwF+AX8BfMFzQWaBX4FhwWXBYAFRAUQBQYFEgUHBNYEnQR6BGYEPwPwA4MDEwKzAmgCLgH7AccBigFEAPwAtwB5AEMAE//m/7v/l/96/1v/KP7Y/nf+GP3B/Wn9B/yh/EH76/ub+077BPq6+mv6H/nv+fH6HvpW+nz6kvqk+rf6xfrU+u/7E/su+zr7QftL+1b7Xfte+1v7VftT+1n7X/td+1j7XPtn+277gPu4/AH8Gvvl+5r7g/uQ+2/6+vpw+ir6P/p8+qj6tPqx+rv62fru+uD6rvp1+kj6JPoG+fL54fnC+Zv5hvmI+Xj5M/jR+IP4Vfgs9/b3w/eh94T3W/cj9uP2oPZY9hD1yfWH9Uz1E/TV9JL0XPRH9E70WvRY9D/0CvO581by9vKe8kbx7/Gp8XvxUvES8KzwKO+S7vTuWu3R7WftI+z87Njsp+x17GDscuyN7IfsWewd6/Pr7uwL7DPsRuwr6+3rrOuH64PrjeuP633rX+s+6x7q9urD6o7qYOo56hTp8+nY6b/pnOln6Sbo5uiu6H/oUOgc5+PnrOd650bnDubT5pjmWuYX5dLlj+VO5Q7k0+SX5FXkDOPI45TjZuMu4unioeJf4h7h2uGU4U/hBuCy4FXf99+a3zve195w3grdqN1R3Qbcw9x+3DHb29uF2zfa89q22n/aUNoj2fTZ1Nnk2i/af9qC2iLZm9lC2SrZINjt2JXYP9gF1+TXyNer14vXbddW11DXYNd+15rXqdeo15jXftdm11/XaNdy13LXcNd715jXvdfm2BjYU9iP2MnZDNlh2b3aEtpg2rbbHduX3CDcs91J3dneYd7f31Pfu+Ai4JrhKeHI4nDjIOPV5InlPuXz5p3nM+fF6G/pMOnc6kzqjOrN6y3rnewB7E7slOzd7SXtYe2X7efubu8t8Abw4fHB8qzzh/Qm9HL0iPSU9Kz01vUh9bj2vfgl+aD6zft/+9r8Ifxy/Lb82Pzy/TD9m/4W/oL+4f9B/6YAAgBQAJsA8AFOAasCBQJjAsoDNAOVA+kEOQSPBPMFaQXsBm4G3Qc2B4IHzQgiCH8I3QkvCXQJuQoHClkKqQr3C00LqwwKDGcMyg0uDY0N7g5lDvAPcg/aEDcQnREHEXAR7xKZE1gT9hRaFJsU3RUnFXQVxxYYFkYWMRXqFaQVfxVnFT8VDBTwFQUVQRWPFd8WJRZcFo0WxRcLF1IXkBfOGBgYZRipGO0ZRRmvGhMaXxqfGt8bKhuFG98b6hs6GawXrhYAFS0VShYFFu0XuBhnGSQZ7BqDGsga+xttHA4cfxyVHIgcmRy/HNsc7x0OHSMdEhzoHM0cxxy7HJgcYxwpG/IbxxuzG6wbpBuZG44bfRtjG00bRRtAGykbCBr0GvMa8xruGuYa2RrEGrAarRq1GrcarxqtGrgaxRrJGsYauBqXGmcaOxoeGggZ7RnRGboZphmTGYIZcRldGU4ZRRk4GSEZDhkOGRAY/hjhGMwYqxhgGAUX3hfwF+IXeBbtFqIWmhaGFj8V7hW4FZIVbxVkFXwVlBWJFWcVXRV+FbAVzhXOFbkVoBWJFXAVURU7FT8VThVCFQgUtRRoFCkT8hPGE60ToRORE3ATPBL5Eq8SbxJCEiQSBxHkEbwRhhE/EO0QpBByEFEQMBAGD9YPpw99D1YPMA8JDt8OrA5wDjgOEg34DdcNpA1lDSgM9AzHDJ8MeAxGDBIL7wvlC+YL4QvVC8ULqQuAC1sLPwsPCrMKVQpCCoQKvwqeCjYJ4gnRCdsJ0QmvCYsJaQk/CREI6wjKCKIIcwhLCDEIHQgJB/cH6wfgB84HugerB6EHmQeMB3wHbAdcB00HQgc6BzYHMAceBv8G2wa+BqwGpQakBqgGrAapBp0GjgaABnMGZgZXBkAGHQX6BecF4wXZBbcFjAVxBW0FcAVxBXEFcwVwBWYFYAViBWUFYgVcBVcFVAVRBVIFWgVkBWoFbwV1BXMFaAVkBX0FrwXdBfAF7AXfBdMFzwXZBe0F/QYDBgYGEgYpBkQGWwZtBnoGfQZ6BnwGigacBqkGsAbABuEHCAcZBwUG1gaoBooGfAZ3BnUGcAZiBkoGMQYYBfoF1QWzBZwFkAWEBXcFbAVkBVgFQAUjBQYE7ATSBLkEpASSBH8EaQRSBDoEIgQKA/UD5APRA7oDoAOGA28DVwM8Ax4DAALjAsYCpgKGAmgCSwItAgoB5gHEAaUBhQFgATgBDgDnAMIAngB7AFoAPAAfAAH/4f/A/5z/dP9G/xb+6P6+/pj+df5S/ir9+v3I/Zv9dP1L/Rv87PzD/J/8efxR/Cr8B/vm+8P7nvt4+1H7LfsP+vP60vqs+of6ZvpH+iX5//nZ+bT5j/lr+Uj5KPkM+PH40/ix+JD4dPhb+EH4I/gC9+D3vfea93r3XPc99x32//bj9sf2qPaO9nj2YfZF9iv2FfYC9e312PXG9bX1ovWR9YX1ffV09Wr1YPVZ9U/1QfUx9ST1HvUc9R/1JPUr9TP1O/U+9UD1RfVU9Wn1fvWP9Z31qfW29cb11/Xm9fT2A/YV9if2N/ZH9lj2a/Z+9pX2r/bH9tj25/b69w73Ivc190v3Y/d694/3pfe+99f38vgS+DT4VPhv+If4nPiu+L740/jt+QX5Gfku+Ub5YPl4+Y75pPm8+dj59PoP+in6Rfpj+n76mPqy+tD67vsK+yb7Q/tf+3f7j/un+7/71vvw/A/8M/xW/Hr8m/y4/NL88P0R/S79R/1f/Xz9mf20/dD98v4S/iv+Qf5b/nr+l/6x/sv+5P76/xL/Mf9S/2v/gf+i/8r/6//7AAQAEwApAEYAawCUALgA1ADuARABOQFlAY8BtgHdAg4CSwKCAqoC0AMQA2YDsQPbA/gEJwRjBJUEtQTLBNIEsgRqBCQEIQSABSEFuwYkBnQG8AfBCMwJ1wq0CzULFQouCM0HpQc3B2YHrAe2B5wHigd6B0sHAwbBBoQGKwWnBRkEqARdBCYD9QPAA3sDIgLCAm4CKgHrAa8BfgFUASQA4wCNACL/of8X/pr+Of39/eL91/3D/Zb9af1l/Yn9pv2P/Un89Pya/Dj71/uS+3H7X/tB+xL63Pqk+mX6F/m9+WD5C/i9+HP4K/fm96L3Xvcg9uz2u/Z+9jf1+PXJ9Z/1a/Ux9QH04vTK9K/0jfRm9ET0MPQq9Cr0KPQn9Cr0L/Q29D30PvQ39DP0RfRg9GP0QPQd9CL0RvRl9HT0iPSl9LL0lvRY9BHz0fOo86Lzw/P49C70YfSY9ND1A/U09WT1lfXE9ff2LvZn9pz2zvb+9yz3WveO98f3//g2+HL4tvj9+T75ffm/+gT6SvqR+tn7Ivtq+7X8AfxK/I780P0T/VP9jf3E/gH+Qf6C/sL/BP9J/4//2AAfAF0AkQDGAQcBUgGXAcwB9QIZAj0CXgJ4Ao8CpgK+AtYC6wL/AxgDMgNJA1oDagN+A5QDqAO6A84D5QP+BBYEKwQ7BEcEUwRgBGsEdAR+BI0EoAS1BMwE4wTzBPkE+wUDBRYFMwVXBXoFkAWVBYwFhAWFBZEFqQXIBekGBAYTBhkGGQYWBhYGIAYzBksGZQaBBp0GtQbIBtkG7gcKBysHTwdwB4wHoAetB7YHvwfKB9gH6wgECBkIHggTCAkICggSCBAH/QfjB9AHyAfDB78HtgelB4wHcwdjB10HXQdcB1MHRQc5BzcHPAdEB0cHRAc6ByYHCwb0BuYG2AbFBrEGogaVBoQGdgZzBnwGggaGBowGjgaGBncGaAZVBjYGEQX3BeoF3gXSBdQF4wXqBeIF3QXrBgMGEQYZBisGQwZIBi8GBgXjBdAFzAXKBbcFhwVPBTIFNQU2BRoE9QTsBP0FAQTcBJ0EagRSBEEEGQPMA2MC9AKRAkAB/wHFAYoBRgD3AKQAWwAk//v/1f+s/4L/W/87/xb+3v6K/if9y/17/Sj8wPxH+9X7ePsu+uz6qvpi+g/5ufl++Xz5r/n1+iz6TPpf+mv6dvqM+rP63fr4+wP7Dfse+yz7MPst+yf7JPsp+zb7P/s6+zP7O/tQ+2D7d/ur++/8B/vd+6r7rvvL+6L7Efpn+hD6J/px+qb6rfqd+p76uPrN+rj6g/pV+kD6M/oc+f/54vm/+Z75kvmc+ZH5Uvjz+KP4afgs9+L3pPeF93T3Vvcf9tj2jPZC9f31uPVy9S708vS59IL0WPRK9FH0V/RJ9CTz5/OR8yzyyvJz8iLx1/Ga8WTxHvCz8Crvme8M7oPt/e2B7Rzs3uzD7LLsi+xX7ELsZuyf7K/sgew+7BrsI+w/7E/sQuwX69/rr+uW65PrleuO63vrX+tA6xrq7eq96pHqa+pH6iLqAeno6dDpr+l/6ULo/ui96IPoTugX597np+dx5zvnBObL5pHmUeYM5cflheVF5QfkzOSQ5Evj/uO143zjTeMa4tzim+Jb4hrh2OGY4VrhFODD4G3gFN+231De5t5+3h3dwN1p3Rzc1NyL3Djb3tuH2zra9tq52oXaW9o12gnZ49no2ibacNp12hnZmNlJ2TzZN9kF2KvYVNgb1/jX2de415jXe9dj11jXX9d215LXp9et15/XhNds12XXb9d914LXgteK16DXwNfn2BbYSth/2LTY89lE2ZrZ6do12pPbEdup3Efc3d1m3efebN7y323f0uAr4JXhI+HN4n7jLePd5JflW+Yb5sbnUufR6GHpCemq6iHqceq/6yTrlOvz7Dvsg+zh7Uztpe3d7gruWu7l75/wdfFl8m7zbfQv9J/01/T39Qr1FPUx9Zr2gvfk+XT6zPuv/C/8hPzO/P/9EP0d/VL9uP4v/pr+9/9T/7MAEQBqAMEBGwF6AdoCOAKXAvwDZgPMBCQEcQTDBSYFnAYdBpkHCQdqB7wIAwhMCKIJAQlZCaMJ7Ao9Co8K2gsmC4ML7wxVDK4NCQ1uDdoOSg7FD0cPuBAMEFAQnBD3EWcSABLME6kUXhTOFQwVORVkFZgV2xYkFlQWUxYmFe0VvBWQFVQVAhS2FJ4U0BUuFYUVvxXvFi8WfhbGFv8XNBd0F78YBRg8GHIYxBk4GbAaCBpMGqUbJRufG8kbbhp9GQcXSRW7FOoVJhY1F4QYmRlsGikazxsoGykbKBt7HAscfByfHKEctRzSHOIc7B0BHRUdEBz5HOsc5RzSHKUcbBw2HAkb6BvUG8UbuBuuG6YbmhuGG3UbbRtlG08bNBsjGxobDxsAGvQa6hrdGtEazxrSGs8ayRrKGtQa3xrlGuYa2Rq5Go0aZxpJGisaCxnsGdAZuhmsGaMZkBl1GWMZYxlgGUoZMxkzGTYZHxj9GOkYyRhrF/MXyRgHGDsX9hdiFvUWzRanFlkWCxXhFcUVoRWJFZUVrhWvFZsVkhWkFcQV4RXvFekV0hWzFY8VZRVAFTUVQhVGFSEU1hSEFEIUERPvE9kTxhOuE4wTWBMNErISYhIyEh0SChHqEcMRlRFaEREQyxCXEHMQUBAhD+kPtA+JD2gPSQ8pDwUO1g6dDmcOQw4rDggNzw2LDU4NHgz2DNAMpgxvDDQMCQv8C/0L+QvvC+YL1QuyC4ULXAslCssKZQo1ClMKhgqJCloKLQoiCiMKFAnxCcAJgwlCCRQJAAjuCMQIhwhWCD0IMQghCA0H/QfwB98HyQezB6MHmQeVB5EHigd7B2gHWQdRB0wHQgctBw0G6wbPBr0GtAa0BrkGvAa5BrAGpgaZBoYGcAZaBkEGIAYBBfQF+AXzBdQFpwWFBXYFbwVqBWoFbwVwBWsFawV0BXwFeQVvBWYFXgVXBVQFWwVmBW0FcgV1BXQFawVnBXoFpQXTBfMGAgYCBfQF4QXZBeYF/QYLBgsGCQYRBiIGOQZUBmwGewaABoIGjQahBrEGtga6Bs4G8wcSBxMG+AbSBq8GjgZzBmMGYAZeBlEGOwYgBgMF4gW/BaIFjAV7BW0FZQVeBVUFRgU1BSYFFgUBBOYEzAS3BKMEjQRzBFgEPgQnBBMEAAPqA9ADtAOaA4QDbgNTAzMDEgL0AtgCvQKiAocCbAJOAiwCBgHhAb0BmwF4AVIBKQEDAN8AvACYAHIATwAuAA//8P/R/67/hf9Y/yr+//7X/rL+jv5s/kX+GP3o/bv9k/1p/Tv9DPzh/Lr8kvxo/ED8Hvv++9z7tvuQ+2v7S/sx+xb69frP+qv6jPpv+k76KfoE+d75uPmU+XP5VPk3+Rn4+fjW+LT4l/iA+Gf4SPgj9/732ve69533gPdh9z/3IfcF9un2zPaw9pj2f/Zj9kn2NfYj9g/1+fXm9df1xvW29ar1o/Wd9ZP1ifV+9XH1YvVU9Uv1RvVE9UX1SfVO9VT1WfVb9V31Y/Vx9Yb1mvWr9bj1xPXS9eT19/YI9hb2JfY39kn2WfZp9nv2kPak9rn2z/bi9vD2/vcR9yb3OfdK91/3ePeQ96T3uPfP9+n4B/gn+Eb4Yvh7+JX4rPi8+Mn42vjx+Qf5Gfks+UT5X/l2+Yv5oPm4+dH57PoH+iP6QPpf+nv6lfqv+sv66fsH+yX7Q/tg+3v7k/uq+8L73fv8/Bv8OfxX/Hf8lfyu/MT83v0B/SL9PP1U/W79iv2j/b/94v4E/hz+L/5J/mn+iP6h/rj+0P7n/wD/Hf88/1T/Zv9//6D/wP/V/+T/9gAMACgASwB0AJsAuwDcAQIBKAFMAXMBoAHNAfkCKAJZAogCtwLzA0EDigO/A+sEIgRgBJEEqASsBJoEaAQkBAMENwS6BVQF1AZCBswHkgiBCWsKMgrJCw4KwAnJCIcHmwdZB4gHugfGB9AH5gfhB6gHWwcnBvwGqgYmBZkFKATYBJsEawQ+BAEDqANGAvACqQJmAiQB6QGyAXMBKgDXAHL/9P9s/vX+of50/mX+XP43/en9mf14/Yr9mv2A/UP9APy8/Gr8E/vT+7X7q/ua+3T7Pfr5+qz6Vvn3+ZX5Nfjc+In4P/f99773ffc99wX21Pac9l/2KfX/9dj1p/Vw9UH1HfT99Nv0tvSQ9G70WPRM9EP0OfQz9Dn0S/Rj9Hr0g/R69HH0gPSd9J/0d/RE9DP0QfRR9F30d/Sj9L70rPRp9A/zuPN+83bznfPc9Bn0T/SF9Lz08vUq9WX1n/XW9gn2PvZ39rL26vcd90r3ePer9+D4E/hE+H34v/kH+Uz5jPnJ+gP6QfqH+tL7Gvtg+6r7+vxH/In8yP0I/UT9eP2p/eD+H/5g/qL+5f8r/3P/uwAAAD8AeQCyAPEBOAF+AbwB8AIcAkQCaAKDApYCpwK8AtQC6gL+AxYDMANHA1kDbAODA50DswPGA9gD6wQABBcELAQ8BEYETQRWBGEEbQR5BIUEkQSfBK8EwATMBNIE1QTfBPQFEgUzBUoFUgVMBUUFRwVTBWYFfwWaBbMFxQXQBdEFxwW6BbMFvgXXBfgGGAY3BlQGbwaFBpkGrwbLBu4HFAc5B1kHdAeIB5oHqge4B8YH2gf1CBIIIgghCBQIBwf4B+AHwAeiB5IHiweHB4EHdwdlB0oHLgcdBxoHIwcxBzwHQwdKB1YHZQdvB28HZAdMBysHCQbvBt8GzAazBpsGjQaCBnYGcAZzBogGkQaYBp4GnQaPBnsGaAZTBjYGGwYOBgsGBQX+Bf0F/wX3BekF5AXtBfUF8wXzBfoF/wX6BfUF9gXvBdIFrwWdBZQFeAVJBSMFFAUJBPIE5ATxBQME8QSyBGcEMgQUA/oD0wOVA0MC5gKMAj4B+QG1AWwBFQCzAFYAEf/r/9T/t/+N/17/Mv8I/tf+kv42/dD9dv0r/Nv8b/vq+2r7CfrJ+pv6bfoy+eP5ivlF+Tf5Yvmn+eL6B/oY+hv6H/oz+lv6gvqa+qX6t/rO+t/65frp+vD6+PsB+wz7FPsS+xD7IvtE+2H7ePub+8X70/u++7j74/wJ+8/7I/pn+gr6IPpp+pz6n/qJ+n76h/qJ+mn6NfoV+hf6H/oS+fb51vmy+ZP5kfmq+bH5gfks+Nz4l/g/99P3evdV91T3Tvck9tf2evYj9dr1mPVS9Q701PSk9Hf0UvRA9EH0QfQu9AXzwvNo8wLypPJT8gnxv/F38SjwvfAx75nvD+6W7h7to+0r7MXsg+xo7F3sQOwW7A3sReya7L/snOxd7D/sSOxX7E7sLuwF69zruuui65brj+uF63TrXes+6xbq6+rC6p3qeupW6jHqEun46eDpwemX6V7pGujS6JDoU+gW59bnmudl5zXnA+bN5o7mSeYC5b/lguVG5QrkzuSR5E3kAOO043LjOuME4szikeJR4gzhy+GR4VrhGODK4HngKN/N32Pe9d6M3izd0t1+3S/c49yU3D/b5tuR20TbA9rJ2pfabdpG2hvZ8tns2hvaW9pk2hfZptle2U/ZR9kU2L3YbNg12BDX7tfK16jXi9dy12PXYtdw14rXpNew16XXi9dx12fXbtd814bXi9eU16nXx9fs2BTYQNht2KDY4Nkw2YfZ2tou2pbbIdvC3GDc7N1o3ePead7033Lf1eAs4JrhNeHs4p/jROPp5KDlaOYp5sznUOfI6Ezo3eln6dfqNuqf6xnrkevw7DXsfOzj7Wjt5e437mLulO7074LwLPDv8c7yuvOO9DH0p/T89TL1TPVr9cb2j/fG+S/6e/t4/Cj8qf0G/Tb9Qv1Q/Yb95P5R/rr/GP9x/8gAIwCDAOgBSgGqAgoCaALGAykDlQQBBF8ErQT8BV0F0QZLBsAHLweXB/MIPgiBCM0JJgl+CcwKHApzCsoLFQtiC8gMQQyvDQcNWw2/DiwOlw8BD2oPyBAQEE8QmBD2EXYSKxMSE/kUpxUMFUcVdxWoFdkWCxY9FmUWdRZnFjwWBBXOFZMVOhTLFIEUlBTuFUoVhxXGFiUWiRbIFuQW/hctF2gXnhfKF/oYQBioGR0ZgRnbGl4bDxubG5ga7RnWGIgXFxW9FQIVWRacGCYZaxpVGwUbcxt9G0EbJRtuG/ccZhycHLYc0hziHNwc2BzqHQQdCRz/HPkc+RzoHLocfxxNHCwcFBv8G+MbzRvAG7gbrhugG5Mbhxt5G2gbWxtTG0gbNRshGxYbERsIGvoa7xrqGuoa7xr3Gvwa/hsAGwEa8xrUGrEalBp4GlQaLxoQGfUZ2hnLGcUZtBmTGX0ZgBmCGWsZUxlWGVwZQxkeGQ0Y6BhzF9wXsRgeGJMYchfRFzsW8Ba6FmwWJhYCFecVvxWiFasVxxXWFdQV0xXWFdoV5RX3FgEV9RXYFbYVjBVeFUEVQxVOFTsU/xSwFGoUOBQYE/8T5RPFE50TZxMZEroSZBIxEhsSBxHqEcURnRFtETIQ8xC7EIwQYRAyEAAPzw+kD4EPYw9HDykPAw7TDqUOhA5qDkMOBw3BDYUNVA0rDQcM4QysDGoMNAwYDA0MAgv7C/8L/gvfC6MLZAskCtcKhApaCnMKqAq7CpgKYAo6Ci4KKgoZCegJlQlBCRMJDgkKCOEImgheCEMIPgg3CCYIEAf8B+kH0we6B58HjAeIB44HkAeFB3QHaAdiB1sHTQc5ByUHEAb3Bt4GzgbMBtAG0QbKBsAGtQamBo8GcwZXBj0GIQYKBgEGBAYABegFwwWjBYwFeAVpBWYFawVsBWgFbQWABZAFkQWFBXcFagVgBV4FZQVxBXYFdgV3BXsFewV4BX8FlAWyBdQF9QYKBggF8wXiBewGCQYfBh8GEAYFBggGGQYyBk4GZgZ0BnoGhAaXBqsGtQa5BsgG5wcHBxcHGQcXBwsG5QapBnUGXwZdBlcGQQYkBgoF8AXRBa4FjgV2BWcFYAVdBVsFVwVSBUwFQQUvBRUE+QTgBMgErgSOBG4EUQQ4BCQEEAP6A+ADxAOqA5QDgANoA0oDKQMIAusC0QK6AqICiAJpAkcCIwH+AdkBtwGWAXIBSwEkAP4A1wCuAIMAWQA0ABP/9f/W/7T/jf9k/zv/FP7v/sr+pv6B/lv+MP4D/dj9r/2F/Vj9KPz7/M/8pPx6/FX8NfwW+/T7zvun+4X7aPtP+zb7Fvrx+s36rfqN+mz6Sfom+gP53/m9+Z/5gvlj+UL5H/j7+Nj4uvii+In4aPhA+Bj39/fa97/3oveC92D3QPck9wr27fbR9rf2nfaB9mj2VfZD9i72GPYG9fn16/Xc9c71xfW+9bX1qvWd9ZD1g/V59XT1cPVu9W71cfV09Xb1efV89YD1h/WS9aP1tfXF9dL14PXw9gP2GPYq9jj2RvZX9mn2evaK9p72s/bH9tn27Pb89wn3Fvcp9z/3Ufdi93f3j/en97r3zPfi9/z4G/g6+Fb4bfiE+J34tvjJ+Nb45Pj3+Qr5Gvks+UT5Xflz+Yf5nvm2+c755/oA+hv6OfpY+nj6lPqr+sP63fr6+xj7NvtW+3X7kfup+8H73fv9/Bv8NfxN/Gj8hPyb/K/8x/zm/Qf9JP0//Vz9ef2S/av9zP3v/gr+H/45/ln+d/6P/qX+vv7Y/vH/C/8o/0D/Uv9m/4D/nf+1/8v/4f/5ABQANQBaAH4AoADGAPEBFwE2AVsBjAG9AeUCCwI5Am4CnwLSAxMDXgOiA9wEGARWBIMEkgSGBGUEMwQIBA8EXgTZBVMFxAZVBycIJAkRCckKVgrACuMKgAmWCIYHzgeWB6EHpwenB8MH7wf4B84HmweBB2gHIgauBjEFwwVkBRUE3QS0BHwEJgPEA2sDHwLXApICUAIIAbcBYwEPAK0ANP+z/0j/Bf7s/vL+9v7J/mH97P2n/Zv9mP11/T39B/zS/I78Pvv+++L74vvk+8v7j/s6+t76hPon+cf5ZvkJ+LH4Yfgd9+D3ofdg9yP27Pa29n32SvYh9ff1xfWQ9WP1PvUc9Pn01PSv9JD0e/Rw9Gf0XPRX9GD0ePSZ9Ln0xvS89K30s/TK9Mz0qPR19Fv0W/Rf9GX0ffSq9ND0z/Sc9EPz3POK82rzhPO+8/70NvRq9J701vUV9Vr1nvXb9hH2RvZ99rj28vcr92H3l/fN9//4LPhc+JX41/kc+WH5ofnZ+gn6Pvp/+sn7EPtS+5r76fw1/Hb8sPzq/SH9Uv2D/b/+A/5K/o3+0f8X/1//pf/nACUAYgCgAOABIgFlAacB4gIVAkECaAKEApUCogK3AtQC8QMJAx4DNQNLA18DdAOLA6ADsAO9A80D4APzBAcEGgQrBDUEOwRCBE8EYARvBHgEfASABIkElgSiBKkErQS1BMgE5AT9BQgFAQT2BPQFAgUYBS4FQwVUBWEFbgV6BYQFhQWBBYMFkwWvBcsF4gX1BggGHAYwBkcGYwaGBrEG4AcQB0AHcAecB74H1gfhB+IH4AfkB/AH/Af8B+4H2Ae7B5kHdgddB1MHTwdKB0MHOwctBxgHAgb4Bv0HEgcwB04HZQd0B34Hgwd+B24HVQc3BxcG+QbjBtEGuQadBogGfwZ8BncGdgZ9BpoGoAalBqYGnwaMBnYGYgZQBj0GMAYvBjMGMQYqBiQGGQYGBfcF9gX4BfAF5AXjBeYF3AXWBfsGPQZZBiAFwAWHBYQFhwVqBUAFIQUNBPoE8wT+BP8E2ASNBEAEBAPXA68DiQNfAygC4wKYAlACCAG5AV0A8wCAAB3/4v/Q/8j/rP92/zr/A/7L/on+Nv3X/XX9HfzQ/H78EfuN+w/6sfp6+lv6PfoR+cv5dfkr+Q75Jflb+ZP5u/nL+cf5v/nH+eH5//oS+iX6P/pb+m/6gfqf+sL62vrh+uT66frs+vL7Cvsz+1r7dPuK+577pfuk+7v78PwJ+7z7Evps+iH6Nfps+o36ivpy+l36Tfoz+gX52fnN+eP5/foC+fT52vmx+Yv5ivmy+dH5tflm+RD4ufhK98L3TvcZ9x33KvcU9s32Z/YD9bP1cfUw9PP0wvSb9HX0T/Q19Cv0I/QO8+PznPM88tPydPIj8dPxfPEg8LrwPe+q7xruoO4z7cTtT+zf7H/sOewU7ATr8evd6+zsOeya7Mrsr+x27FjsWOxX7ELsIuwC6+Trxeuq65jrjeuD63XrXus/6xrq9erT6rLqjepm6kPqJuoM6fHp0emo6XHpLejk6KDoXugY58/njedb5zPnCebS5pDmR+YB5cTli+VS5RTk1eSW5FLkCOO843TjMeL14r/ih+JF4fvhueGF4VXhFuDK4H3gMt/d33bfBt6b3jrd492S3UPc8tyd3Efb8tug21XbFtrh2q7aftpU2ivaB9n52hTaQ9pP2hbZvNl92WfZU9kb2MjYe9hI2CPYAdfd17rXm9eD13LXa9dv14HXmteq16XXkNd613DXctd714TXjtec17PX1Nf52B3YQdhr2KHY5tk82ZfZ79pJ2rTbOtvO3F3c3t1Z3djeX97l31zfweAl4KbhUeIO4rvjUePm5JTlU+YI5qPnK+ez6EPoyuk36ZDp8upy6wbrjuv07D3sh+zx7YHuF+6K7s7vCO9e79TwU/DQ8V/yCvLE83j0HfSt9SH1cfWy9hb2yPfK+PP6EvsP++v8oP0b/VD9Wv1v/a7+Df53/uD/Rv+h//AAQgCkARIBegHZAjUClALzA1cDxAQyBJQE5AU1BZUGBQZ4BucHVAfACCQIdwi8CQMJVQmrCgAKWQq5CxYLZgu4DCIMnw0QDWkNvA4eDoQO4A8yD4YP1xAeEGEQrxEUEaISahNdFD4U1BUgFVYVnxX1FjsWZRZ+FpcWsxa5FpMWTRYMFdkVihUMFJ4UjxTeFUYVoRYIFogW8BcRFwUW/hcMFx0XMhdcF5oX4xg4GJwZBxmBGioa9huBG10aixltGEcXFhX7FXYV8xc8GK0Z0hqrG00blxtvGxIa9BtFG88cRByOHMMc6hzzHOIc2BzrHQgdEh0JHQUdBxz5HMwckRxhHEUcLhwSG/Yb4xvZG9AbxRu5G64bnhuHG3QbaxtpG2EbUxtIG0MbPhszGyMbFRsNGxEbIBssGyobIhsfGx4bDBrpGssatxqcGnUaUho8GiYaCRn1Ge4Z3xm9GaIZohmhGYcZbxl2GYIZahlFGTcZDxiGF9UXpxg0GNUYyxgeF20XDRbPFoUWRRYkFgoV4hXIFdQV7xX7Ff0WAxYEFfgV8hYBFhMWEBX7FeMVxRWZFW4VWxVbFU4VIBTfFKEUbxRHFCQUABPWE6cTbRMjEswSfRJFEiMSBxHpEcoRpxF8EUoRFBDdEKYQchBFEB0P9Q/JD6EPfw9jD0kPKg8EDt8OwA6kDnoOPw3+DcINjQ1gDT0NHAztDKkMYgwuDBAL/wv9DAsMEwv0C60LXAsXCtYKngqPCr0LAAsTCtYKbwogCgkKGAocCe8JlglBCRwJHwkcCO4IpQhmCEsISQhKCDwIIggDB+sH2AfAB6EHhQd6B4AHhQd+B3MHbwdvB2kHXQdWB1UHTQczBwwG7AbfBt8G3gbWBskGugaoBpEGcwZUBjgGIAYPBgQGAAX8BfAF3gXHBawFjQV0BWoFaQVnBWIFagWCBZsFogWYBYoFfgV1BXIFdgV8BXwFeAV5BYMFiwWNBYsFjgWcBbcF3AX8BgYF+QXsBfUGEgYoBiUGEAX/BfwGBQYUBiYGPAZRBmMGdQaKBp4Gqwa1BscG5Ab9BxEHLAdWB3EHVgcFBqoGdAZmBl8GSQYsBhUGAwXqBcYFoAWCBXAFZgViBWUFaQVsBWoFYwVUBT4FJAUIBOwEzASoBIMEYwRJBDMEHgQKA/ID1wO8A6QDkAN5A10DPQMcAv0C4wLNArgCnQJ+Al4CPQIaAfYB1AGzAZEBbAFEARwA8QDDAJQAZwA/ABz//f/e/7z/mP90/1D/Kv8E/t/+uv6U/mv+Qf4Y/fD9x/2d/XD9QP0Q/OL8tvyO/Gv8Tfwv/A375vu/+537gftq+1H7NPsS+u76zPqp+ob6ZfpF+iT6Avnh+cT5qPmI+WX5Qvkg+P744PjG+Kv4iPhf+Dj4Gff99+H3wveg9333XfdB9yj3DPbw9tT2uvaf9ob2cvZg9kz2NvYl9hn2DfX+9fD15PXa9dD1xfW59a31ovWc9Zr1mPWW9ZX1l/WY9Zj1m/Wg9af1rfW29cP10vXh9fH2APYR9iP2NvZH9lX2Y/Z09ob2l/an9rr2z/bj9vX3BvcX9yX3M/dF91n3bPd+95L3qfe+98/34Pf1+A/4K/hH+GH4d/iM+KT4vfjS+OH47/kA+RH5Ifkz+Un5Xvly+Yb5nvm3+c/55fn8+hT6L/pO+m76i/qh+rX6zPrm+v/7Gvs6+177fvua+7T7z/vs/Ab8Hfwy/Er8ZPx8/JP8q/zG/OT9Af0g/UL9Yv18/ZT9sv3V/fX+EP4s/kn+Y/54/o7+rP7K/uP++P8O/yb/PP9S/2r/hP+d/7f/0f/tAAkAKQBJAGcAhwCvAN0BAwEhAUQBdQGoAdAB9QIlAlsCigK1AvADPAOIA8cEAgQ8BGgEcgRdBDwEHwQXBDcEhATrBVgF4AalB6IInQldCeAKTAqnCrwKVQmECKYIEgfRB7IHlgeSB70H9wgPB/wH4gfZB8kHlAc9BtoGdQYNBa0FZgUtBOcEjAQuA9oDjgNHAwgCygJ6AhQBpgE+ANQAYf/x/5n/Zf9c/3f/kf9x/v/+av36/cX9pf13/T/9Dvzf/KP8XPwh/An8Evwd/AX7vPtX+vX6nvpJ+fD5lvlB+Oz4l/hL+An3yveG90P3CPbR9pr2aPY89g/13fWq9X31V/Uz9Q706vTI9Kv0mvSU9JD0ivSH9I/0p/TO9Pf1DfUD9On03vTn9Or00fSq9JH0ifSE9IP0lPS69OP0+PTp9K30TPPl85/zkfOx8+b0IfRZ9JD0yfUJ9U/1lfXU9g32RfZ89rP27fcr92z3rffn+Bf4RPh3+LT49fk0+XL5sPnm+hT6RPqB+sf7C/tK+4772fwh/GD8l/zK/Pr9K/1k/av9+/5H/ov+zf8Q/1T/l//WABIAUACQAM4BCQFGAYcBxwIBAjQCYAJ+AosCkgKlAsYC6wMKAyEDNgNLA18DdAOIA5QDmQOfA68DxgPdA/AEAgQUBCQELAQyBDwETARcBGQEYwRjBGoEdwSCBIYEhASEBI8EpQS8BMQEvgS7BMkE5AT/BRIFHgUiBSIFJAUwBUQFVgVlBXUFiwWfBawFtAW9Bc0F4QX5BhYGPAZqBp0G0AcFBz8HfAe0B90H8gf0B+YHzAe0B6cHpgekB5cHgQdlB0YHLgckBycHLAcsBysHKQckBxoHEAcPBxsHMwdUB3QHiAePB4wHggdvB1MHMwcUBvcG3gbLBroGpAaOBoIGgQaEBoUGhwaQBqkGqganBqIGlgaDBm4GXAZMBkEGQQZIBk0GSwZGBj8GMQYcBhEGEQYLBfUF5wXvBfIF3QXbBioGrgbuBp0F/gWPBX8FkAWHBWQFQQUkBQgE9QTwBOIEtQRvBCkD7QO1A4ADVQMzAwsC2QKfAl4CEQG3AVAA3QBmAAX/1P/P/8r/oP9W/wb+wf56/ij9zP1w/Rn8yPx3/B37s/s9+tD6fvpL+ir6Dvnm+an5XfkX+O748PkU+Ub5cfmC+Xj5Y/lb+WT5dfmJ+aT5xvnl+f36H/pa+pr6v/rE+sD6xPrM+tT66fsR+z77Y/t8+4/7lvuU+5z7rPug+1H61fpw+k36Xvp2+n76dfpj+kf6Ivny+cH5qPm5+en6Gfoy+jL6E/nV+Zf5j/nF+fv57fmZ+S74xPhL9733O/bv9t725vbb9qf2TvXs9Zb1UPUR9Nn0r/SP9G30RvQk9A/z/fPk87nzcvMM8pjyKvHG8WPw/PCW8C/vu+877r/uUu3q7XvtDeyt7F3sHOvu69fr0OvY7APsV+yw7NbsueyD7F/sVOxM7DvsJewN6/Drz+u066brn+uU64DrZetF6yXrCOrr6svqpep/6l/qROoo6gjp4um16XvpNujw6K7obegi59HniedW5zHnCObS5o/mS+YM5dPlnOVg5SHk4OSd5FbkDOPB43fjMuL04r7iheI/4fDhruF+4VHhFeDM4IPgPN/q34jfGt6v3k3d992q3VndAdyn3FLcAtuy22jbK9r22sDaitpg2kPaKdoV2hjaMNo42hLZ0Nmd2YPZYtki2M/Yh9hV2DHYEdfw187XrdeV14XXeddy13jXiteZ15nXjdeC133XfteA14bXktek17/X4tgI2CvYTth82LvZDNln2cHaFdpn2sfbPdu/3D7cut073cLeSN7D3zPfouAd4LXhZ+Ig4sTjUePd5HzlKeXO5mXm/Oel6E/o2Oks6WfpvOpD6ufrfOvt7ETsm+0K7ZruN+7C7yrvgu/q8GHwzfEg8XPx3PJd8uzzjvRG9QL1nvYU9oT3HPfo+NL5wPqv+6L8fP0O/Uf9Uv1w/b3+JP6R/wD/cP/SACAAbwDRAT8BpwIBAlsCuQMbA4AD7ARYBLkFDwVmBckGNQaiBw4HewfnCE4Ipwj0CT8JkAnnCkEKoAsEC2YLvQwTDHsM8g1gDbwOFA53DtkPLg97D84QIRBtELMRAhFpEfkSwROuFH0U9xUtFWYVzRZLFqgWyxbLFtYW+RcPFu0WmhZMFhgVzhVNFM0UqxT4FXUV/BaTFykXfhd6F1QXRBc8FyAXDhc0F4cX1hgYGG4Y6BmDGj4a/htnGyEaQBksGCYXKhZdFjQW7hgpGUIaARqdGy4bdRtIGu0a1xssG7IcJhx7HMAc8x0EHPsc9B0CHRodJB0eHRkdFx0GHNgcmxxoHEgcLBwNG/Yb7xvuG+Qb1RvNG8kbuxuhG4YbdhttG2cbZBtlG2MbWBtLG0MbPxs8Gz8bTRtWG1AbRBtEG0UbMBsKGuwa2Rq9GpQadRpqGlsaPBojGhoaCxnoGcwZyRnEGakZkhmbGacZjRlrGWQZPRilF+EXrhhJGQIZBhhbF6QXOxb2FqgWaRZOFjoWGhYHFhMWIhYZFgwWERYcFhsWGBYlFjYWNBYjFhMV/hXWFaUVghVwFVsVOBUMFN8UsBR8FEoUGRPnE68TcRMuEugSpBJpEjgSERHxEdURsxGFEVMRJhD4EMIQjBBfEDwQFw/sD8EPng+BD2UPRw8mDwMO4w7DDpoOZA4pDe8NuQ2JDWYNSw0hDNoMhQw7DAwL+Av7DAwMEQvvC6cLWAsSCtUKqgqzCv4LVwtqCxAKfwoOCfAKCAoUCeoJnAleCUkJRwkwCPYIsQh9CGMIWghUCEUIKQgHB+sH2QfHB6sHjAd4B3UHdgd1B3UHegd+B3kHdAd6B4cHhAdkBzMHCAbwBuYG4QbaBs4GvQaqBpQGegZaBj0GJgYVBgUF9gXuBe4F7gXlBcwFqQWJBXcFbwVqBWYFbwWFBZwFpAWfBZkFlgWUBY8FigWFBX0FdwV4BYMFjwWXBZkFngWoBbwF1gXvBfoF8wXrBfMGCQYYBhQGBQX+BgMGCwYNBg8GGgYwBksGaAaBBpMGngasBsQG4QbyBv4HHgddB5UHjQc9BtMGigZuBmMGUQY3BiQGFAYABeMFwwWnBZAFfgV0BXQFeQV9BXwFdwVtBVwFQwUmBQcE5QTABJsEfARgBEgEMgQfBAsD8QPUA7kDogOKA20DTgMtAw8C9ALdAscCrgKQAnECUwIyAg4B6gHIAacBhAFfATgBDQDfALAAggBZADQAEv/w/83/qf+I/2X/P/8X/vH+zP6l/nv+Uf4q/gT92/2x/YT9Vf0m/Pj8z/yp/Ij8a/xM/Cn8AfvZ+7b7mfuC+2v7UPsw+w/67PrJ+qX6hPpk+kT6Ifn/+eD5w/mj+YH5YvlE+SX5CPjs+M/4q/iD+F/4Qfgk+AP34Pe+95z3fPdf90X3KfcM9vD21/a+9qX2kPZ99mj2VPZE9jj2LPYd9g72APX09er14PXW9cr1wPW99b71v/W+9bv1uvW59bn1vPXC9cn1z/XY9eT18vYB9hH2IvYy9kD2TvZd9mz2evaM9p/2sPa/9tH25/b89w33Hfcu90D3UPdh93T3iPeb96/3wvfT9+L39PgL+CP4OvhR+Gr4g/iZ+K/4xvjb+Ov4+vkK+Rn5Kfk7+U/5Yvl0+Yf5n/m4+dD55fn6+g/6JvpB+l/6efqO+qH6uPrQ+uX6/PsZ+zv7XPt7+5n7tPvL++H79vwM/CL8OvxU/G/8ivym/ML84P0A/SL9Q/1f/Xn9lf24/dz9/f4b/jb+Tf5g/nj+l/65/tL+4/7y/wb/Hv84/1P/bP+E/5//vv/d//wAGgA4AFUAdQCbAMYA7QEMAS4BWwGLAbQB3AIOAkQCdAKjAuMDMgN6A7ID5gQfBEYESAQuBBkEHwQ7BGwEswUYBaUGagdgCFwJHwmWCeYKOAp7CnMJ/glDCJIIHgfcB68HlgenB+YIKwhLCEMIMQgmCBYH8Qe5B3MHGwa2BlQF/wWoBUME2wSEBDwD9AOvA3kDSQL8AoMB8wFpAPAAiAAw/+z/wv/A/+0AIwAZ/6f+9f5U/fD9tf2B/Ur9F/zm/LD8dvxI/Df8QfxI/CX7zvth+wH6s/pj+g35vvl5+S/42viF+Dz39/eu92X3JPbs9rX2gPZR9iT19vXH9Zr1cfVK9ST1AfTg9MX0tfSy9LP0s/Sy9Ln00fUB9Tr1W/VR9Sr1DPUH9Qn0/PTi9Mn0uPSr9Kj0tvTU9Pr1HvU09ST04fR59Bbz2PPL8+b0GvRZ9Jb00vUP9U31ifXD9f72OvZ29q/26vcr93H3tvfz+Cf4WfiR+M/5C/lC+Xj5svnr+h/6VPqS+tb7GPtX+5j73Pwf/F38k/zD/O79H/1g/bH+Bv5T/pT+z/8K/0f/hv/EAAAAPgB9ALgA7QEkAWQBqAHqAiYCVwJ2An4CfAKFAqICyQLtAwsDIgM0A0YDWwNxA30DfQOBA5UDtQPUA+gD+AQOBCQEMAQwBC8ENQRCBEsETQRRBFwEagR0BHQEbgRpBG4EgASXBKcErwS+BN4FAwUdBScFJgUeBQ8FBAUHBRkFLgVCBVQFZAVuBXMFfQWUBbcF2wX+BiMGUAaBBq8G1Qb2BxwHSgd1B5EHnAebB5AHeQddB0wHSQdLB0gHPwcyByUHHwcjBzAHOwdAB0UHSgdMB0kHRgdJB1IHYQd0B4QHiQeBB3IHYQdMBzEHFAb4Bt4GxgazBqUGmAaOBowGkQaWBpgGnAajBq4GqQahBpoGjgZ8BmkGWAZKBkUGSgZWBlkGUwZOBkoGQQY1BjAGLwYgBgQF+AYGBgYF5AXcBj0G4Qc6BugGLwWgBXYFggWFBXQFWAUyBQME4QTTBMIEmQRcBCAD6gOxA3YDQAMSAukCwQKWAl0CDAGpAT0AzQBeAAX/2v/S/8D/gv8i/sP+dP4j/cX9Yv0L/MP8ffws+877aPsE+q36Z/ow+gP52fmr+XX5Ofj++NT4xvjZ+QT5Lfk++TH5F/kH+QX5D/kj+UX5bPmK+ab51Poe+mv6l/qg+qD6p/qx+rn6zfr3+yn7Vft2+477lPt++1b7Kvr9+sn6mPp++oD6h/qE+nv6dfpq+k36G/nh+bb5tPnk+jT6gPqt+qr6cPoL+bT5rfn2+j76L/nF+T74xfhT99T3U/br9q32kfaA9mL2KPXY9YT1N/T09L30lPR09FD0JfP989zzwfOk833zOvLQ8knxvfE78MTwWe/+76zvUu7p7n7uG+247U/s7Oyc7FzsI+v1693r4ewA7Dvsh+zG7NbsteyD7F7sTexF7D3sMuwc6/zr3evM68brweuv65LrcetS6znrIusI6ujqxuqm6ovqb+pN6iTp9unB6YLpO+j26Lfoeegx5+Dnk+dY5yrm/ObH5ormT+YY5eDlpOVm5Snk7OSo5FzkC+O+43njOuMA4snii+JB4fLhr+F+4VDhGODX4JXgTt/635ffLt7G3mXeEd3D3XDdFNy33GbcGtvM23/bQNsK2tDal9py2mLaUto62ivaMto12hjZ49m52Z7Zdtku2NnYk9hl2EPYJdgH1+XXxNer15rXi9d913jXgNeM147XiteI14vXi9eK14/Xndey187X8tgY2D3YZ9ih2PHZUdmw2gHaQNp72sbbK9uf3Bbcjt0R3ZzeIN6W3wvfjOAf4MPhceIe4r7jT+Pb5HDlC+Wk5jzm5Oei6F3o6Okw6VfpnOod6sDrWevU7D3squ0l7bLuTO7i72bv4PBg8ODxSfGZ8ePyM/J/8srzOvP39PD14faU9xD3hvgc+ND5mPp2+2j8Tfzq/S39Qv1s/cL+MP6g/xT/jP/2AEwAnwD/AWYBxAIaAnUC1gM5A54EBwRxBNMFLwWPBfQGXQbGBzMHoAgJCG0IzQknCXwJ0AopCoQK4AtAC6IMAAxcDMENLw2ZDfcOVg68DyAPeg/SEDMQkxDmES8RghHtEnoTMxQFFLcVGxVJFYwWChaaFvUXAxbqFugXDhcyFyEW3RaYFmUWFRWIFPoUzxUeFbMWZRcmF8cYChfyF9UX4BfiF7AXgBeYF+cYJhhRGKUZPBn2GqgbMBtPGtMZ4BjXF/EXLBa6FwAYCxlEGgoaWhqoGxwbbBtbGyAbGRtjG80cKxx0HLQc6x0PHRwdGh0WHRwdJx0sHSodIh0MHN8cpRxxHEscJxwDG+0b6xvsG98byxvGG84bzxu/G6cbkRt/G3YbeRuBG3sbaBtbG2IbbBtrG2cbaxtwG2kbYBtkG2wbXRs8GyAbDRruGsQaphqeGpAacBpTGkYaNRoQGfIZ7RnpGdAZuxnBGcUZqBmKGY0ZahjLF/sXvxhdGSAZNBiZF+wXhBc2FtwWlxaAFnUWWhZGFksWShYrFgkWCRYjFjoWRxZUFl8WWhZLFj0WKRYCFdAVphWJFW0VThUyFRQU5xSpFGgUKxPxE7MTdRM5Ev8SxhKMElMSIhH9EeARuxGHEVMRKhEGENsQqRB7EFYQMRAJD+QPxA+lD4QPYg8+DxkO9Q7SDqoOeg5CDggN0g2lDYYNbA1EDPwMnwxHDA0L+AwADBEMEQvuC7ALbgssCuoKvArLCyULiwufCzsKmAobCfcKDAoWCfQJwQmjCZwJhwlOCQQIyAimCI4IdAhaCEMIKwgOB/MH3wfPB7gHmQd9B28Hbgd3B4UHkAeQB4cHgweOB5oHlAd2B04HKwcNBvQG4wbaBs8GvgarBpkGhQZqBk4GOgYoBhAF9QXlBecF8AXuBd0FwAWhBYkFfQV5BXsFgwWPBZoFnAWZBZwFpQWsBagFnAWNBYAFdwV3BX8FiwWXBaYFuAXJBdcF4QXoBeoF5gXjBesF+gYCBgAF/wYJBhkGIwYfBhcGGAYnBkAGXgZ5BokGkgafBrsG2AbkBuMG9AcnB14HZQcsBtYGkQZvBmEGUwZBBi4GHAYJBfYF5AXSBbwFpQWTBYwFiwWJBYQFfwV5BWoFUQU1BRgE+ATUBLIElQR8BGMETAQ5BCQECwPuA9QDvQOiA4MDYQNBAyIDBQLqAtICuQKdAoACYwJCAh8B/AHbAbkBlwF1AVEBKgEAANMApQB6AFIALAAG/9//uP+V/3L/TP8k/v7+2v6z/on+Yf48/hX96/2//ZT9Z/07/RP87vzM/Kz8jvxv/Er8IPv2+9L7tfud+4X7a/tN+yz7C/rq+sj6pfqD+mD6PPoX+ff52vm7+Zv5f/ll+Uv5LvkQ+PH4zfip+In4bPhN+Cj4BPfj98P3oveD92b3Sfcr9xD29/bg9sn2svae9or2dvZm9ln2TPY89iz2HfYQ9gX1/fX09er14fXe9eL15fXj9d/13PXa9dr13PXh9ef17fX29gP2EfYf9i/2QPZO9ln2ZfZz9oP2kvak9rf2x/bX9ur3AfcW9yX3M/dF91j3a/d894/3pPe498r32ffl9/T4Cfgi+Dn4S/hc+HT4j/io+L340Pjj+PP5AvkQ+R/5Lfk/+VP5Zvl3+Yn5oPm4+c/55Pn5+g36Ivo6+lP6aPp5+o76p/q++tL65/sC+x/7O/tY+3f7k/un+7n7z/vp+/78Efwp/EX8Yvx+/J78v/ze/Pz9Hf0+/V39ef2Z/b394P4A/h7+Of5R/mj+g/6i/rz+zv7b/uz/A/8f/zv/VP9s/4b/pv/H/+UAAQAfAEAAYwCHAK0A0wD2ARkBQAFqAZMBvQHtAiICWQKaAuYDNANxA6AD0wQIBCMEEgPzA/gELAR1BLkFBwWEBkwHVQhwCVUJ2AoIChkKLAokCdgJSQirCDMH6we+B6AHnwfOCCIIbwiRCIYIaghRCD0IJwgHB9MHhwcsBtMGeQYNBZAFHwTQBJIESwQAA8oDoQNaAtcCLgGMAQwAsABsADQADgAQAEgAkQCYACb/Xf6U/gr9vf2L/Vr9JPzv/Lz8jvxr/F38Yfxf/DH71Ptq+xT6zfp8+ib53/mq+W35GvjB+HL4KPfX94X3P/cF9s32lPZh9jf2DvXj9bf1jfVm9UL1IPUA9OX00/TO9ND01PTX9OD0/PU19Xv1qPWf9XH1R/U59Tr1MPUY9Pn03PTL9Mz03/T59Rb1OvVj9Xn1YPUV9LX0YfQt9CD0N/Ro9KL03vUZ9VH1g/W19e72LvZw9rL28vcz93P3svfw+Cz4Zfid+NT5C/k/+XX5r/nr+if6Z/qp+uz7Lftu+6777fwr/Gj8ovzT/P79L/1y/cL+Ef5W/pL+xv73/yz/af+p/+kAKQBnAKEA1QEKAUoBkQHWAhQCRgJiAmgCYwJmAnoCmgK+AuAC+QMJAxYDLQNLA2IDagNxA4kDsAPUA+kD+AQOBCkEOAQzBCQEHgQlBDAEOQRGBFgEagR3BH4EgwSHBI4EnQSzBMUE0wTnBQgFKQU5BTUFJwUVBQME+AT9BQ4FIAUuBTgFPwVDBUsFZgWYBdMGBQYtBlIGfAamBsMGywbHBskG2AbqBvQG+QcCBw8HFQcTBxMHHQcsBzoHRQdPB1UHXAdlB24HcgdzB3UHeQd6B3UHcAduB24HbgdvB28HZwdXB0UHNQclBxEG/QbpBtQGvgatBqUGogakBqkGrQatBqsGqwauBqgGoQabBpUGigZ5BmcGWAZNBksGVAZhBmMGWAZPBk0GTAZKBkoGRwYzBhQGCAYSBgkF3AXIBhUGowbzBrUGHAWbBWYFYgVnBWYFUgUfBOEEvAS5BLUEkQRUBBoD6wO8A4IDQQMDAs4CpQKBAk0B+wGSASQAuQBTAAD/0f+6/5X/Rv7e/nz+Kv3W/XH9CPyw/G78M/vr+5P7Nfre+pX6VPoW+dr5oPlp+Tn5Dvjl+L/4pvip+Mb46fj3+O342fjN+Mr40fjm+Qr5MflQ+W75n/nn+i/6Xvp0+oL6j/qa+qv60fsM+0P7ZPt3+4j7ifti+xb6yPqZ+o76mvqq+rH6qPqX+o/6kvqP+nH6Ovn7+dD50/oP+nb64fsh+xL6r/om+cn52Po6+of6Zvnh+UP4xfhk+AD3i/cO9qD2UvYp9hP18/W69W31GvTS9Jr0cfRK9Bvz5fOz84rzaPNI8yLy4PJv8dbxMPCZ8B3vwO+A70nvAu6k7kDt6O2X7UPs7+yp7HDsPuwT6/zsBewt7GnspezI7Mbsp+yC7GXsVexO7ErsQewr7A7r+Ovx6/Dr5evK66frhetr61frQuso6wrq7OrT6rnql+pq6jjqA+nK6YjpQOj56Lnofeg75/Dno+de5yXm8ua85oXmTuYX5dzlneVf5Sjk8eSx5GDkCuO8437jSOMS4tfikuJG4fvhuuGE4VLhIODt4LPgaeAM36ffQ97i3oTeLt3e3YrdLNzS3IbcPdvt25zbW9sj2ufardqL2oDactpZ2kzaWNpe2j/aBdnX2bfZh9k32ODYoNh42FrYPdgf1/7X3dfC17DXn9eM14PXiNeS15TXkdeS15bXldeT15zXr9fI1+TYBtgu2FrYkNjc2UHZsNoS2lXaetqY2szbI9uP2/3cbtzq3XHd9d5z3vjfjeAt4M/hb+IR4rHjS+Pd5G3k/uWT5jPm4uee6FDo1ekf6UrpjeoE6pvrLuuv7Crsre047cnuXu7174vwH/Cw8TDxmfH48l/ywPL38wTzL/PL9N32EfcE95n3+fhf+On5m/pr+078JPzE/Rv9SP1//dX+QP6x/yj/ogARAHEAygElAXoByAIbAnwC5gNLA68EGQSGBO0FTgWyBhgGfgboB1gHxAgoCIgI7AlSCbAKCQpjCrwLEgtqC8sMMgyWDPsNYg3JDigOiA7uD1UPthAWEH4Q5RFAEZQR9hJwEwATpRRTFOMVOBVtFb4WQRbEFwMW9hbNFsEW3Rb9Fv4W5hbVFr4WaBXCFRsU4hUzFd8WtxebGE4YkRiAGH4Yqhi+GIkYShhPGH0YkximGQgZyRqWGyIbUxsRGk4ZPhhAF4QXBhbyF5sY8RpEGvEbCRsVG1gbnRuvG6kbvRvyHCwcXByDHKoc2R0OHTQdNR0dHRAdHh0vHS4dHR0EHOIctByEHFscMBwCG+Eb1xvUG8QbrxuqG7cbxBvFG70bsBufG5UbmhulG58biRt+G4obmBuUG4cbhhuLG4Ybext7G4QbgBtuG1wbTRswGwga6xreGsoapRqGGnYaYRo5GhgaEBoJGfEZ3BndGdoZvBmmGbIZlBj1GB4X1xhoGSgZSRjGGC8X0ReCFyIW1ha7Fq4WjBZsFmMWWBYyFggWBRYnFk8WZxZzFnUWbhZmFmAWThYoFfYVyxWpFYYVZBVJFS4VARTBFHkUNBPyE7ETdRM+EwsS2RKlEm4SNxIJEeURvhGMEVoRMhESEO0QwBCUEGwQRxAmEAoP7g/MD6QPfA9WDy4PBw7lDsIOlQ5aDhwN5w2/DaINhw1eDRkMuwxbDBgMAgwRDCoMLgwPC9oLnwteCxYK3QriCy8LiQuZCzwKpQotCgMKEAobCgwJ9wnwCeYJugllCRAI4AjPCL4ImQhsCEsINQggCAYH7wfcB8gHqQeHB28HcQeIB6MHrgejB5AHiAeNB44Hgwd0B2sHXgc/BxIG7AbaBtAGwAasBp0GjwZ6BmMGUwZDBicGAwXqBeQF5wXlBdsFzAW2BZ8FkAWPBZYFmwWcBZoFlAWRBZYFowWuBa8FpQWXBYoFgQWABYYFkQWgBbQFygXcBeMF4wXhBd8F3QXhBe0F/AYCBgMGCgYcBi0GMgYsBigGLAY0Bj8GUAZmBncGgAaPBqsGyQbVBs0GzAbjBwQHEAb3BsYGkwZwBlwGUgZGBjMGGwYFBfkF9AXsBdsFxgW0BagFngWTBYgFgAV4BWkFUgU5BSEFBgTlBMQEqgSUBHwEZARPBDoEIQQHA/ID3wPFA6MDgANfAz0DGQL4AtwCwQKnAosCbwJQAi8CEAHxAdABrQGJAWYBQQEZAO4AwgCVAGoAQgAZ/+7/w/+b/3f/Uv8s/wj+4/68/pT+bv5J/iL99/3M/aP9ev1S/S39Dfzu/ND8svyT/G38Q/wZ+/X71/u8+6L7hvtn+0f7KPsK+un6xfqh+n36V/ox+hH59PnX+bn5nvmG+Wz5Tvku+Q347fjO+LH4lPhz+E/4LvgP9/D3z/et9433b/dS9zj3IfcL9vP22/bH9rP2oPaO9n/2cPZf9k72PvYx9ib2HvYW9g72BvYD9gb2CPYF9gD1/PX79fv1/fYA9gT2CvYU9iL2L/Y79kn2WvZo9nP2f/aP9qD2sPbA9tH24fbx9wX3Hfcy90D3TPde93L3hfeX96r3wPfV9+X37/f4+AX4G/g3+E74XPhq+ID4m/i0+Mf42Pjo+Pj5B/kV+SP5MflC+Vb5avl8+Y35ovm4+c/55Pn4+gz6Ifo4+k36Xvpu+oP6nfq0+sf63fr4+xH7Jfs8+1r7dfuH+5f7r/vL++D77/wC/Br8M/xN/G/8lPy1/NL89P0c/UH9Xv15/Zn9u/3d/gH+J/5I/mH+df6L/qP+uf7L/t/+9v8P/yr/Q/9a/3L/kP+v/8v/5QAFACsAUABwAJEAtwDeAQEBIgFGAXIBoAHPAgQCRAKTAucDLgNiA5EDxwPzA/UD0QO7A+wEXATWBTQFkgYqBxsITAl2CksKqAqgCmMKCQmOCPQIXQf1B8gHuQeqB50HrAfrCEkInQi+CKcIdghMCDYILAgdB/UHsQdeBwwGtgZLBdAFZQUaBNwEjQQ1A/IDwwN7AvkCTQGpASwA1wCZAGMAPAA/AHgAvgDEAFP/hv6z/hr9yP2a/W79OP0A/M78pfyC/G38aPxe/C/72ft8+zH66/qW+j75/vnR+Zn5R/jv+KD4Uvf796L3Wfcf9uf2q/Z29k32J/X/9dT1rPWI9Wb1RfUn9Q70/PTy9PP0/fUI9RX1MvVr9bT15vXj9bn1kvWA9Xf1YvVA9Rj09/Tm9O71CfUl9Tj1UPV39Z71qvWR9Vz1HPTc9Kr0kfSW9Lb06PUh9Vb1hfWz9er2KvZu9rb2+/c69273offd+B74WviM+Lv48fkv+W/5qvnl+iT6afqt+u37K/ts+6376Pwg/Fz8mvzR/QH9Nf11/bv9/f44/m7+n/7M/v7/PP+B/8YACABHAIIAuADvAS4BcQGyAeoCFQIxAj4CRgJQAmICegKXArkC0wLgAuoDAgMpA00DXQNlA3oDoAPGA9wD6AP7BBgEKwQmBBMECAQOBB0ELwRFBF8EdgSKBKEEugTOBNkE4wTuBPYE9QT2BQEFDwURBQME8ATgBNsE5gUFBS4FUQVpBXoFhQWMBZgFuAXrBh4GQgZcBngGnAa9BsoGvQahBo0GjAaVBpwGpAa7Bt4G/wcWBygHPQdVB20HhAeYB6YHrgewB64HpgebB5MHjweHB3sHcAdoB2EHWAdRB0wHQwc1ByYHGQcMBv0G8AbmBtoGzAbBBr4GwQbGBsoGyQbCBrgGsAatBqMGngabBpYGigZ3BmUGWgZVBlUGXgZsBm8GYgZVBlIGVwZcBl4GVwZABiEGEAYQBgcF6QXXBfoGOwZUBiEFxwV+BVUFQgVABUAFJgTgBJMEdwSPBKQEiARHBAwD5gPEA5QDUwMJAsUCkQJmAjAB3gF2AQgAnAA3/+H/pP95/0X+9v6V/jn96P2T/S78wfxf/Bb73fui+1z7DfrC+nz6OPnz+a35afkv+QX46vjR+LD4jPh7+If4oPiv+Kz4pPif+KD4p/i9+OH5B/kn+Uj5d/m0+e/6IPpH+mT6dfqE+qv6+ftT+4z7lPuL+4z7jftp+yH63PrD+tL66vru+tz6wfqy+rb6xPrE+qb6a/om+e752/oG+m/67/tC+y/6tvog+dL5/fpt+rD6e/nk+T/4xvh2+Cv3yPdJ9sH2TfYD9d31wPWR9Un09fSq9HP0RvQU89TzkPNX8yvzBPLb8qnyWvHd8Tzwk/AD75jvVO8s7wbuxe5m7gPtt+2B7UrtCezH7I7sYOw57CTsKuxP7ITssezB7Lbsn+yJ7Hnsbexk7F7sUew87CfsHOwb7BbsBOvl68Trp+uP63vrZetK6y7rFOr86tzqrup26jvqA+nK6YvpROj76Lfoeug+5/nnr+do5yvm9ebA5obmSeYM5c/lkuVX5SLk7uSw5GLkDuPD44vjWuMk4uLil+JN4gnhyuGP4VnhLOEG4NLgguAe37nfXt8F3qjeT9393ajdTtz43K7cZdwR27/bfttG2wna0Nqs2pnag9pt2nban9qy2ojaOdn42c3Zkdk22N3YpdiK2HLYU9gz2BPX8dfU17/Xrdec15LXmNeh16LXntee16DXntee16vXwtfd1/jYHNhK2IDYxNkg2ZbaE9p32rDaxNrO2vLbPNuf3AXca9zc3V3d5t5y3wbfpOBD4Nrha+ID4qLjP+PT5F3k6eWC5inm1+d/6BXoj+jo6S/pg+n36oHrCuuL7BDsou097dTuae8B76HwRvDh8WDxx/I18r/zQ/OC83HzYfO+9K/18/cc9+L4Tvie+RL5v/qL+1f8Dfyj/RL9Yf2k/fL+U/7E/z//ugAqAI8A7gFCAYUBwAIOAnkC7QNXA70ELAShBQ8FcgXSBjUGnAcLB38H6whICKMJCQlyCdQKLgqMCugLOwuQC/QMZQzSDTcNmg38DlgOsw8YD4IP5BA/EJ4RAhFlEckSPxLKE2ET9xSGFPsVShWKFeIWVha2FtUWvBaYFooWihaDFngWiRa9Ft0WlhXfFSQU4xU/FgMW9xfxGLEZABj+GQUZLxk1GPIYqxifGK4YoxixGTUaGRriGzMbCBpxGXMYShdZFtYWtBcEF/4ZixsGG9Ib7RvRG9Eb7hwVHEgcfhyfHKYcpRyoHLEczh0JHUAdSB0nHRMdJB05HS4dDxz2HOIcwByPHF0cJxvrG7kboxujG6IbmRuWG54bpxuuG7MbtBuuG6gbrxu/G8IbtRusG7QbvBu2G6sbrxu4G7EbnxuUG5cbmxuWG48bhRttG0wbMRsdGwEa2hq7GqoalBptGksaOxosGg0Z8xnvGesZ0hnFGdYZvhkqGFYX+hhkGQkZMBjKGE8YAxfCF2sXHhb4Ft4WshaDFmwWXBY7FhcWEhYwFlkWdRZ/FnsWcxZzFnsWdxZaFi0WABXVFacVehVVFTQVCRTPFIwUQxP3E7ITeRNHExYS6BK/EpISWhIeEeoRwhGcEXURTxEpEQAQ1RCrEIMQXxBBECoQDg/oD7sPkQ9qD0IPGg77Dt4OtA53DjYOAQ3cDb4Nnw11DTUM3Ax6DC4MEwwoDE8MYAxIDBIL0AuJCz0K/wrwCxkLVAtjCycKtwpPChgKEgodCiIKHQoSCfcJugliCRQI7AjlCN4IwAiUCGwIUwg9CCQICgf2B+MHxQedB4AHgwejB8IHxQeuB5YHjAeKB4EHdQd6B5AHmQd4BzcG/gbjBtgGyga3BqkGnAaKBnYGZwZYBj0GFwX4BekF4QXbBdcF1QXMBbkFqgWoBa4FrwWoBZ8FlwWTBZMFlwWeBaMFowWfBZoFlAWUBZ0FqwW6BcYFzwXUBdkF3wXmBegF5wXuBgAGEgYYBhgGHQYqBjEGKgYjBioGOQZABjsGPAZLBl4GawZ7BpYGswbCBr4GuAa9BskG0gbQBsAGoAZ5Bl0GUgZLBjgGGgYABfQF8AXsBeEF1AXHBbwFrgWcBYwFfwVzBWQFUAU9BSwFEwTzBNMEuQSjBIwEdARgBEwENgQfBA4D/wPpA8sDqQOHA2EDNwMOAuwC0AK1ApoCfwJhAkMCJgIJAegBwwGcAXcBUgEqAQEA1gCqAH8AVgAuAAH/0/+n/4H/Xf86/xb+8f7H/p7+eP5U/iz+A/3b/bb9kP1q/Uf9KP0M/O/80/y0/I/8Zfw9/Br7+/vd+8D7pPuF+2T7Rfso+wn65/rC+p76efpT+jL6Ffn4+dr5vvml+Yv5a/lJ+Sj5C/jv+NL4tPiU+HT4Vvg5+Bn39vfU97X3mPd+92f3Ufc79yH3Cfb09uD2zfa79qv2mvaG9nT2ZfZY9k32Q/Y89jT2LfYp9in2KPYj9h32G/Yb9hz2HfYf9iP2KvY19kL2TvZY9mX2dvaF9pL2n/ax9sP20fbf9u72/fcM9x73NfdK91n3Z/d59473oPex98b33Pfv9/z4BfgO+Br4LvhH+F74bfh7+I/4p/i8+Mz43Pju+P75DPkb+Sr5OflK+V35cPmC+ZL5pfm6+dD55fn5+gz6Ifo4+kz6XPps+oP6nPqx+sL62Pr0+wv7Gvss+0b7X/tv+337lfuv+8P70fvi+/f8Cvwf/D/8ZvyK/Kj8zfz6/SL9Pv1W/XP9lP21/dz+Cv44/ln+bf5+/pD+o/66/tT+7P8D/xr/NP9M/2P/ff+a/7f/0v/yABkAPQBZAHQAmQDCAOQBAAEmAVkBkQHDAfkCPAKNAtsDGQNNA4QDugPSA7oDkwOhBA8EvAVfBdYGQwblB9UI+AoMCs4LEwrfClIJkQi/CAYHkgd1B5MHtAe5B68HuAfyCFQIrgjOCKgIYAgmCBAIEAgNB/QHvQdyByEGzgZzBg4FqwVYBQoEsQRSBAQDyQN8AwECYgHIAVAA+QC1AHkAUABNAHMAoACVAC7/ff7C/jT94f2y/Yf9U/0c/Ov8vvyT/HP8ZfxX/C374/uT+1D7Cvqz+lz6Hvnv+bL5XvkJ+L74cPgV97r3cvc79wT2yfaT9mn2QvYa9fH1zfWt9Yz1bPVS9T31LPUi9Sf1OvVS9WP1ePWk9eX2F/Ye9gT15vXP9bL1hfVU9Sr1DfUB9Q/1LvVK9Vr1avWI9a/10PXh9eP10fWo9Wr1K/T/9Pb1D/U79Wf1jvW49e72LPZu9rL29fcw9133iffC+AP4O/hk+I74yvkX+WH5m/nO+gf6S/qM+sX6/vs9+337tfvl/Bz8XPya/NH9Cf1H/YX9vf3w/iL+VP6F/rv+/f9G/4z/ywAIAEIAewC0APABLAFkAZUBvgHeAfkCFQI1AlECaAKAAp4CuQLJAtQC7QMYAz8DUQNUA2EDgQOnA78DzAPdA/gEDQQPBAQEAgQRBCgEQARbBHgEkgSqBMUE5AT6BP4E/AT8BPgE5wTRBMUExgTHBMIEuwS7BMoE8AUtBXUFtwXwBiAGRAZXBl8GaQZ5BoIGggaEBpgGuQbXBuEG0wa8BrAGugbOBt8G7gcHBywHUQdrB30HjAebB6sHugfFB8oHyAfFB70HsAegB5QHiQd6B2kHXAdTB0oHQQc7BzkHNActByQHGwcOBwAG9gbwBusG5QbgBt8G3gbdBtsG1gbKBroGrgaoBqkGpQaiBpsGjAZ2BmUGYQZhBmEGZQZxBncGbwZiBl4GZQZsBmwGYgZMBjAGGgYWBiIGMwZCBkAGHQXaBZYFcAVgBUkFKwUbBRME5wSGBCcEDQQ5BGcEXgQqA/kD3APFA6EDZgMcAswCgwJGAgoBvQFbAOsAeQAN/6//ZP8o/u7+qP5W/f/9qf1S/PL8iPwe+8X7g/tN+xj63fqf+l76FvnK+X/5O/kD+OD40PjC+KL4c/hR+E/4Yfhx+HT4cvhx+HT4fviX+Lz44fkD+Sn5WfmL+br56voc+kP6V/pv+rT7LPul++L73vvH+8f7z/u7+4n7XftR+1b7TPsn+vr63frY+uX69fry+s/6kvpJ+gT51vnf+i/6r/sS+xL6qfok+ef6GvqB+rX6e/ns+U341fiF+ET38/eD9v32e/YV9dP1o/Vt9ST00PSD9Eb0EPPR84fzQfMN8uTytfJ28iTxufEx8JjwCu+Z70rvF+747tbumO477drtlu1w7VDtH+zj7Krsfuxd7ErsTuxv7J7swuzJ7LnspuyY7JDsiOyB7HfsZ+xT7ETsQOw97DHsHOwE6+rr0Ou265zrg+tq61PrPOsf6vPquOp26jjp/unG6YnpRuj/6LvofehA5//nuOd15zvnCObQ5o7mSOYG5cvllOVc5SPk6eSq5GLkFuPT45zjbOMz4uvin+JZ4hvh3+Gf4WXhO+EY4OTgkOAt39Lfg98u3s/ect4e3cvddd0j3Njcitw02+Tbp9tx2zXa+9rR2q/aitp52p/a6tsM2tTaa9oW2d3ZlNks2NHYpdiY2IfYaNhE2CHX/dfe18jXt9em153Xodep16vXqNeo16vXq9et17vX0dfp2AXYLthl2KTY8NlY2draXtrC2vfbBtsO2y3bb9vK3Cncidz23XbeA96W3y7fyOBd4Ofhb+H+4pXjLeO95EHkxeVZ5f7mpOc457boKeiY6QXpdunw6nLq8utv6/XsjO0u7c3uaO8D76nwV/D58X3x6fJm8wbzo/P38+jzt/PL9Gj1gPa/98L4Xvi/+Tr58/rD+3P7/vx+/QD9cP3F/gz+Yf7P/0z/xgA2AJ4BBAFcAZwBzwIYAoQC/wNvA9gETATHBTcFlwXwBk8GugcwB6gIEwhrCMMJJgmNCesKRgqqCw8LaAu+DCUMmw0MDW4Nyw4mDnoO0Q83D6cQCxBdEK8REhGAEfMScRL+E5IUIBShFQwVWxWeFesWPhZ1Fn4WbhZlFmEWQRX8Fb8VyxYlFnkWWhW9FRYU8BVrFkQXOBghGNAZHRkgGR4ZJBj7GJMYNhgaGBkYChguGNQZxRptGnsaDBlIGDMXAhYkFeIWMRb8GFEaDRumHJIcwRyPHFUcQxxsHMUdFR0qHRAc9BzmHN0c5x0WHUwdVB0wHR0dMB1AHSgdARzvHOUcwRyBHDsb8xulG2EbRBtQG2kbeRuCG4kbjRuPG5YbnxulG6YbrxvBG88b0RvPG9Ib2BvZG9ob4hvqG+IbzRu+G7wbwBvBG70bsxueG4MbaRtPGy4bCRrtGt0ayBqmGogadBpaGjIaDhoCGfsZ6BnfGfIZ5xluGKoYLxhXGMwY+Ri3GFgYGRflF6AXWhcsFwkW2xaqFogWcBZSFjQWKhY8Fl8WgRaUFpIWhBaAFo4WnBaUFnMWRBYLFc4VlBVkFToVEhTlFK4UZBQOE8ETiRNbEywTAhLiEsESihJAEfoRyxGvEZURcxFHERgQ7BDFEJ0QdRBUEDoQHg/1D8YPnA91D0sPIw8EDuoOww6LDlAOIA37DdcNsQ2FDUsM/AyfDFEMLgxADGwMhgxyDDYL6AuZC04LDgrsCvALEgszCzQLBAquClgKJgoeCicKJAoHCdYJmAlXCR4I+QjsCOoI3wjECKAIfghjCEkIMwghCBEH9AfKB6gHpge/B9IHyQeuB5sHlweSB4IHdweIB6wHvgecB1UHFgb3BuwG3gbLBr0GsQafBooGeAZnBksGKAYIBfQF5QXcBdsF4AXdBdAFwwXBBcUFwwW4Ba0FpgWgBZkFkwWSBZYFnwWnBakFqAWrBbcFyAXSBdEFyQXHBdUF8wYNBhQGCwYHBhUGJwYsBiUGJgYtBioGGQYPBhwGMQY3Bi0GKgY6BlEGYQZvBoQGmwanBqkGqwauBrAGtAa8Br8GrQaIBmYGVgZPBjwGHgYBBe8F5gXeBdYFzwXIBcAFtAWkBZIFgQVyBWMFUwVEBTQFHQT+BN4EwwSrBJMEfQRtBGAETgQ4BCUEFgQEA+0D0gOzA4sDXAMvAwoC6wLPArMClgJ3AlcCOAIbAfkB0gGsAYcBYQE6ARMA6wDBAJcAbwBJAB//8P/D/5v/eP9V/zH/Cf7d/rH+iv5k/j3+Ff3w/c79qv2E/WD9Qv0m/Qr87/zQ/Kv8gvxe/D/8H/v9+977wvul+4T7ZPtH+yr7Cfrn+sX6ofp7+lf6OPoa+fz53vnE+an5ifll+UX5KfkN+O/4zviu+JH4dfhX+DX4Evfz99f3v/en95P3f/do9073Nvch9w32+Pbm9tX2wvat9pv2j/aE9nj2bfZk9lz2VPZO9kv2R/ZA9jv2OvY79jv2OvY99kT2TPZV9mH2bPZ39oX2lfal9rP2wvbV9ub29PcA9w73G/cn9zb3Sfdd9233ffeR96X3t/fJ99338vgD+BD4HPgo+DX4RfhZ+G34ffiM+KD4tPjE+NL44vj2+Qf5Fvkk+TP5RPlU+WX5d/mH+Zb5p/m8+dL55/n5+gv6H/o2+kv6Xfpv+ob6n/qy+sD60vrs+wP7Evsj+zr7Uftg+277g/ua+6v7ufvN++P79PwE/B/8Q/xl/IT8qfzW/Pz9F/0u/Uv9av2H/an92P4N/j3+Y/57/ob+j/6i/r7+2f7u/wL/Hf85/1D/Z/+E/6X/xP/jAAYAJwBBAFsAfwCmAMUA4AEMAUoBiwHDAfsCPgKHAsoDBQNDA4IDrAOmA3wDagOwBFoFLQXlBm4G7geRCGMJTAogCqsKwgpcCZoItAfiB1MHIgdGB44HwwfOB70HugfqCEkIpwjFCJIIOAf0B90H4wfrB+cHygeNBzsG6QaeBksF5QV2BQ0ErgRZBBID1AOFAxECfwHuAXgBHADPAI0AXgBLAE4AUQAy/93/Wv7M/lb+Bv3R/aL9b/07/Qr82Pym/IH8cPxg/Dj79vuw+3H7LPrX+oP6QvoJ+cP5bfkd+NX4h/gq99H3jPdV9x725Paw9ob2XvY19g/17vXP9a/1kfV69Wr1XPVV9WP1hvWs9cH1y/Xl9hb2RvZZ9lD2O/Yb9eX1n/Vh9Tn1I/Ue9Sv1R/Vk9Xb1iPWi9cP15PYE9iT2PfY89hn13fWg9Xz1efWI9Zb1oPW69e32LPZp9qL22/cQ90D3c/ex9/H4IvhE+Gz4rfj9+UT5dfmf+dT6FfpT+ob6uPr1+zT7Z/uQ+737+Pw5/HX8sPzt/Sj9Xf2N/b/98v4n/mX+rf71/zb/bv+k/9sAFABOAIcAvwD0AScBVAF6AZ8BzQIBAi4CTAJkAoECnwK2AskC5wMSAzcDSANKA1MDbwOUA7IDwwPUA+sD/wQGBAYEEQQsBEsEZgSABJoErwS9BMoE1gTXBMoEvgS+BMEEtwSkBJoEowS5BNEE6QUCBR8FSQWDBckGFAZlBrYG+AcZBxsHDAb3BtwGxAa+BtEG8gcPBxsHGAcTBxsHNAdTB2kHdgeGB54HtwfHB8wHzAfJB8cHwwe7B7AHpgehB50HlweOB4YHfgdxB2MHWQdUB04HRwdCB0AHPAc3BzIHLAchBxMHCQcDBv0G9wbzBvAG5wbcBtUGzwbFBrcGrQaqBrMGrganBp8GkQZ8Bm4GbQZwBm4GbQZ2BoAGfgZzBm0GcgZ3BnMGaAZYBkIGLQYvBlwGqAbiBsoGVQW+BVsFSAVRBT4FFQT8BPAEvARLA9QDpgPIBAAEEwP/A+IDzAO1A5UDZAMgAswCdgIrAesBpQFIANUAWf/n/4b/Nv7z/rf+ev4w/dX9cv0T/Lj8Wvv0+5L7QPsA+sv6nPpt+jX57vmf+VP5Efjg+ML4tvir+Iz4W/gz+Cj4NPhA+ED4O/g5+D74Ufhy+Jr4v/jk+RD5Qfls+ZH5vfn0+iP6P/pk+sD7U/vh/DD8QPxC/FD8V/w9/A375vvP+7H7evs7+xH7A/sH+xH7FfsF+tj6lfpM+gr51Pm++eT6R/qz+t36q/pP+hv6OvqJ+rz6nvor+ZD4//iU+Ej4APei9yr2qvY49d/1mfVX9Qv0tvRh9Bbz0vOM80fzE/Ly8s3yivIi8aXxHfCU8BbvsO9j7yfu9+7S7rHue+4p7c7tiO1i7UbtIOzs7Ljsj+xy7GXsb+yS7L/s2+zb7Mbssuym7KLsoOyd7JTsg+xu7GDsWexR7ELsMewh7A7r8uvR67LrmuuK63rrZOs+6wTqv+p66j3qA+nJ6Y3pTekL6MrojehO6ArnxOeF50/nG+be5pfmT+YP5dnlpuVt5Szk6OSl5GLkHuPe46jjduM94vnisOJt4jHh9OGz4XfhS+El4Ozgm+BD3/ffsN9Z3vTek94/3fDdnd1M3P/cr9xa3A/b1tug22HbJdr12sbalNqC2rnbFts82vvahtoq2enZk9ki2MjYp9im2JzYfdhW2C/YCdfo19PXxNe116rXqdeu16/Xrtex17fXu9fA18vX3Nfw2A/YQNh/2MTZFdmE2g3akdru2x3bL9tA22bbqdwA3GDcxN003bPePt7P32Df8OB44PvhfeID4pHjJOOx5DHkqOUp5b7mWubk51rnzuhQ6NzpZunq6mnq4+td69/sc+0U7bruXe8A76vwWvD+8YfyAvKP8zvz3vQ99EH0D/Pu9C309PYj91X4MPi++VT6IPrv+4L74fxL/Nv9bf3b/ir+eP7c/0//xAAxAJsBCgFzAccCBgJPArUDLQOgBAwEfgT0BWAFugYQBm4G2QdQB8cIMQiKCOMJRQmoCgIKXQrICzgLmAvvDFIMww0vDYsN4A40DoMO1g8+D7UQHRBrELsRKBGqEikSoRMfE6YULhSuFRoVaxWnFdkWAxYVFhEWDxYgFioV/RWRFSEVABVFFaYVuRVnFREVLhXMFqAXaBgRGI8YzBjWGNcYyxh/F+4XZxcmFwwW/BctF9cYsBklGPwYaxehFpcVcxSvFK4VdBbUGKQamBwxHQkdLRzzHKwciRysHQodYR15HWIdTx1JHT4dNh1IHV8dTB0XHPsdCh0XHQMc6BznHOYcvRxvHBwbyxtwGxka6hruGwobJRs8G1MbZBtsG3MbhBuYG6YbsRu/G88b2hvgG+cb8xwBHAscDxwNHAQb+RvyG/Eb8xvzG+0b4RvOG7Ybmxt9G1sbOBscGwca7xrSGrgapBqHGlkaKxoRGgAZ6xneGe4Z9RmqGQYYbRhKGI0YyRi4GHIYKxfzF7wXhBdWFzEXCxbiFroWlhZyFlUWRxZNFmsWmRbBFssWtxahFqEWsxa+Fq8WgxZCFfkVthV9FU0VJBUAFNMUjRQyE98TpBN3E0kTHxMDEucSsxJkEhIR1hG0EZwRfhFUESgRABDdELYQiBBfEEEQJQ/+D84Pog97D1EPKA8FDuYOwg6UDmcOQQ4cDfENww2SDVoNFAzDDHwMVQxZDHYMigx2DDoL6wubC1MLEgrhCs8K6QsqC2wLdwsvCrEKRAoVChcKFwn2Cb8JjAlmCUIJGwj9CPMI9AjqCM0IqQiMCHYIZAhWCEcILggGB+MH1wfaB9cHwgerB6UHpwefB4kHeweHB6cHuAeeB2UHLgcNBv0G7gbcBs8GxQa2BqEGiwZ2BloGNwYVBfwF6wXiBeMF5gXkBdkF0QXTBdsF3AXTBcQFtgWrBaIFmwWXBZsFpQWwBbUFtQW3BcEFzgXSBckFvgXFBeoGIwZQBlMGNgYcBh4GKwYrBiEGIQYsBi0GHAYOBhMGHwYfBhoGJAZABlsGaQZyBn8GigaKBokGkAabBp0GmwahBq0GqgaQBnAGXAZPBjwGHwYDBe4F3wXTBcwFxgW/BbcFsAWnBZgFhgV1BWUFVgVHBTUFIAUFBOgEzASyBJgEgwR5BHIEZARNBDUEIQQQA/8D7APRA6sDfANQAysDCwLsAs0CrgKLAmcCRAIjAgAB2gG2AZMBcAFLASUBAQDZALEAigBmAD8AFP/o/7//mv92/1L/Kv7+/tH+qP6C/ln+L/4J/eb9wv2d/Xr9XP1B/SX9B/zm/L/8mPx4/F38Pvwa+/r74PvF+6X7hPtn+0v7K/sK+un6xvqg+nn6WPo5+hn5+/ng+cb5p/mF+WX5SPkq+Qj45fjG+Kr4jPhr+Ej4J/gN9/b33/fJ97X3o/eN93T3XfdI9zT3HvcL9vr25vbT9sP2uvay9qb2mfaP9ob2ffZ09m72Z/Zf9lv2W/Zc9lr2WPZc9mX2bfZ09n32ifaX9qb2tfbF9tT25Pb39wj3Ffcj9zH3PfdH91H3Yfdy94L3k/en97r3zPfe9/L4BvgV+CH4MfhE+FT4Yvhx+H/4jfid+LD4wfjN+Nr47PkC+RT5Ifku+T35Tflc+Wz5e/mJ+Zj5qvm/+dT56fn8+g76Ifo2+kv6Xfpv+ob6nvqy+r/6zvrj+vn7C/sf+zX7SvtZ+2j7fPuQ+5/7rvvD+9v77Pv7/BH8L/xM/Gn8i/yy/NP87P0E/R/9Of1S/XD9mf3N/gr+SP50/oL+f/6G/qL+v/7R/uP/AP8f/zb/S/9q/4//sP/M/+sACwAoAEQAZwCLAKgAxwD6AT8BhQHBAf4CQwKHAsUDCANUA5YDqAODA1UDYwPYBKAFewY2BtEHawgaCNIJewn4CicJ7QlPCH8HvAczBvUG/wc9B4sHvwfJB7gHsQfYCC8IiAiiCGcIBwfAB6YHqQe3B8oHyweiB1MHAAa+BnIF/wVvBO0EkARQBBsD5AOXAykCnwIUAaEBRQD1AK8AdgBMACoABP/T/47/Nf7R/nP+KP3v/bv9h/1V/SP87vy7/Jr8i/x7/FH8EfvQ+5b7VPsD+rH6bfor+d35h/k6+PP4pPhI9/L3rPdx9zj2//bP9qb2f/ZY9jT2E/Xx9c/1tPWj9Zf1i/WH9Z710PYC9hr2HPYn9kz2ePaR9pH2f/ZW9hD1vfV59VL1P/U79Ub1XvV39Yr1nfW39dP16vYA9h72RfZo9nf2afZH9ij2FvYG9ef1wvW59d/2H/Ze9o72ufbm9x33Yfew9/X4I/hC+Gj4pPjm+Rz5Qvlp+aH55Poi+lP6g/q8+vn7KPtK+237oPve/Bv8VfyP/Mj8/v0w/V/9kP3H/gr+Vf6e/tv/Dv8//3L/qP/hABoAUwCMAMYA+gEjAUgBeQG3AfECGQI2AlYCeQKZArgC3QMJAy4DRANNA1kDdAOaA70D1QPoA/sECgQPBBAEHgQ8BF0EdQSIBJwEqASpBKIEmQSJBHUEawR3BI8EoASpBLUEzgT0BSYFXAWPBbYF1AXvBhEGQAaHBt4HLAdWB1oHSAcvBxYHBwcMByYHRAdaB2UHaAdtB3kHjQejB68HsQe1B8MH1QfgB+EH1wfJB7sHrgeeB44Hgwd/B38Hfgd8B30HfQd5B3IHcAdxB24HZgddB1YHTQdDBzwHNQcrBx8HFQcMBwEG9wbxBusG3gbOBsYGxAa+BrUGsAayBrcGrwamBqIGmgaKBnwGegZ/Bn8GfQaEBo4GkAaGBnwGegZ4BnIGaQZeBlAGQgZNBo0G9wdCBx4GhQXOBWAFTAVQBTAE+wThBN4EuQRPA8sDeANxA5sDwQPNA78DowOCA2IDOwMEAroCZwIfAeIBoAFCAMcARP/U/3v/Mf7u/rL+dv4r/cb9UPzh/IT8Mfve+4b7LfrY+o36U/op+fz5vvlw+ST45/i6+J34j/iE+G34Rvgi+BL4EfgQ+Ab3+vf4+AX4JPhQ+H74pfjM+Pv5LPlR+Wz5lPnO+gf6Mvpo+tL7b/wM/Hz8vPzk/PT82vyW/E38HPv2+7v7b/s4+yn7Mvs2+y77Hvr8+rz6afoh+fD5xfmb+ZD5xvou+ov6p/qE+ln6X/qd+ub69fqe+fP5MfiX+Db37/ea9yr2sPY/9eD1kPVG9Pj0oPRE8+vzm/NW8yPzC/L98tHya/HV8THwnfAj78bvg+9O7xju4u627pbube4p7dXtiu1Y7TbtFOzq7L7sl+x87HXsieyy7Nrs7Ozj7M3su+yz7LPst+y67LTsouyL7HnsbOxg7FLsR+w67CXsBevh68Prsuup65/rhetS6wzqw+qE6kzqFenZ6ZrpXOke6OPoqOhn6CDn2eeb52TnKubm5p7mW+Yh5ezltuV65Tfk8OSp5GPkHuPe46bjduNE4wnix+KF4kbiB+HH4Y3hX+Ez4Pngr+Bn4Cbf39+A3xTes95i3hTdw91z3Snc29yK3ELcCdvP24nbSNsT2t3ao9qN2sDbF9s22vbai9o52ffZl9ke2MbYsNi42LLYlNht2ETYG9f71+rX4NfS18XXv9e+17zXute918XXy9fS19zX6tf/2CTYXdih2OnZQNm42kbaw9sO2y7bQdtf25Tb4Nw93KPdDt1/3fnefN8E343gE+CU4RHhjOIL4pTjKeO+5D/kq+UW5ZjmLOa35zHnqOgv6MPpWOnj6mPq3OtS69HsYu0D7avuVu8D77TwYvD/8YbyC/Ko81jz9PRS9Gn0TvQk9Cf0oPWj9uD36/is+WH6NPr0+2j7rPwO/K39Xf3s/lT+qv8A/2D/yQA2AKABDwGEAfMCTQKdAvsDbQPhBE4EuAUjBYUF3QY0BpEG9wdjB9MIPAibCPoJXgnAChkKdgrmC10LwwwZDHIM1w04DY4N4A4zDoAOzw8yD6QQChBaELIRLhHBEkkSvRMuE6gUKhSpFRcVZhWUFa4VuRW1FaoVqRW7FcsVrxVWFOAUkBSVFNYVDBUXFSkViRYxFt0XXhe/GBAYSBhsGJEYoxhhF78XCBaFFjMV+hYEFnkXFxdcFxUWehW4FMgTyRMsE2QUjhZ6GMoa9xxwHQAc9xzJHK4cpxzDHQkdWR2IHZwdsB3DHb4dqB2THXMdKhzQHKEcrxzHHMgcxRzTHNccsxxzHDcb/huvG1AbABrRGroasBq+GuMbCxskGzYbVBt9G6Ebsxu9G8ob3BvrG/ocDxwmHDIcLhwiHBwcHRwfHCAcIBwfHBscERwDG+4b0ButG4kbZhtDGyEbARriGsgasBqTGmcaNBoIGegZyhm1Gb0Z0xm4GT8YnBg+GFoYsBjVGKMYSRgBF9QXsBeGF1sXNBcOFuMWtxaSFnwWcRZzFowWvxb2Fw8W/BbYFsMWyRbWFtIWrxZwFiUV3hWgFWkVOhUTFOkUqhRXFAYTxxOUE2ETMxMQEvISwxJ7EioR4xGvEYsRaxFIESURBxDsEMgQmRBsEEwQMBAKD9gPqQ+BD1sPNA8PDu0OyQ6lDoQOYw48DgwN2A2iDWcNJAzhDKYMfQxuDHEMdAxgDC8L7AumC2ALGwrgCsMK2AsgC3kLoQtnCtoKSQn4CfIKAQn2Cc4JpwmNCXIJSgkgCQgJAwj9COcIygiyCKEIkAh/CHAIWwg9CB4ICgf6B+EHxAezB7UHtweoB4wHdQdyB4EHjweKB2wHQQcbBwIG7wbfBtQGzAbCBrEGngaJBm8GSgYiBgAF7QXnBeoF6wXmBdsF1gXbBecF8AXsBdoFwgWwBakFqgWtBbAFtAW6BbwFuAW0BbYFuQW4BbEFsAXGBfwGQwZ2BnMGSQYhBhkGIQYeBhQGGAYrBjgGMQYjBhwGFQYMBg4GKgZUBnAGdwZ6BoMGhgZ6Bm4GdAaEBocGfwZ+Bo0GmQaQBnkGYgZOBjcGHgYFBfAF3QXRBcoFwgW1BakFpQWjBZgFhgVzBWUFVwVFBTIFHwUKBPIE1wS7BJ8EiwSCBH0EcARXBDsEIgQOA/0D7APUA7EDhwNgAz0DHQL8At0CvQKYAnICTQIrAgcB4AG7AZkBeAFVATEBDwDrAMUAnwB9AFkAMQAG/97/t/+T/27/SP8e/vT+zP6l/nr+TP4g/fn91P2w/ZD9df1a/T39Hvz5/ND8qfyN/Hb8Wfw1/BX7/Pvi+8P7ovuG+2r7Svso+wb65fq/+pj6dvpW+jb6F/n8+eL5xPmj+YP5ZflE+SL5APjh+ML4ovh/+F34Qfgq+BX3/ffl99D3vfep95P3fvdq91T3Pvcr9xr3CPb39uv25Pbc9tH2xfa79rH2pPaZ9pH2ivaC9n72f/Z/9nz2evZ/9on2j/aT9pr2p/a39sb21fbl9vX3B/cY9yj3N/dF91T3YPdo93H3gPeQ95/3r/fB99T35ff3+Av4HPgp+Db4Sfhe+HD4ffiI+JP4n/it+L74zfjY+OX49/kN+R/5K/k3+Ub5Vflj+XD5ffmL+Zv5rvnD+df57PoA+hP6Jfo3+kv6Xvpv+oL6mPqt+r76zfrf+vP7B/sc+zL7RftV+2X7efuN+537q/u++9P74/vy/Ab8Hvw2/FD8cPyS/K/8xfza/O39Av0g/Uf9cv2e/db+Hv5c/nL+a/5t/on+qP66/sr+5/8H/x3/MP9P/3b/lf+t/8n/7AANAC0ATgBwAJAAtwDwATYBegG7AgMCUAKWAtkDKgOEA74DtgN9A1YDfwQHBMkFlAZNBvoHsghzCSUJqQnhCbgJKAhZB5MHDgbTBs8G7wctB3QHqAe4B64HqAfGCAsIUwhmCDEH1weOB2wHZQdyB48HogeGBzsG6wawBmsF9gVcBNQEfgRMBCAD6AOcAzMCsQIyAcgBcwElANoAlgBaAB3/3/+h/2L/Hf7Q/oX+Rf4M/dX9n/1r/Tj9AvzR/LT8qPyX/G38MPv1+737ffsx+uP6nfpW+gT5rvlf+Rf4yPhz+CH33Pee92T3L/cC9tr2tPaP9mv2Q/YY9fH12PXO9cr1xPXF9d/2E/ZH9l72XfZi9n32ofa39rf2ovZ09i313/Wh9Xv1ZfVe9Wj1fvWQ9Zj1ovW19cz13/Xs9fz2HfZS9or2sfa69rL2pvaI9kv1+/XK9dX2EPZS9oT2p/bK9v/3Tfeq9/r4LfhO+HP4ovjR+Pf5G/lL+Yr5zvoM+j36bPqi+tr7CPso+0j7dPuu++v8I/xX/Iz8wPzy/SD9Tv2E/cf+E/5b/pn+0P8C/zL/Zf+b/9UADwBLAIgAvQDkAQUBMgFvAa0B3QIBAiYCTwJ3Ap4CxwLzAxkDNgNJA1wDdwOcA8MD4gP5BAoEFAQTBAwEDwQiBDgERwRTBGEEawRtBGcEYgReBFsEYQR4BJsEvwTdBPUFCQUhBUoFiAXNBgUGJwY3BkEGVAaABsUHCQcyBz0HOwc4BzgHPwdRB2sHggeOB5QHmAeaB5oHmgeZB5QHjAeJB5QHpwe5B78HugeuB6MHmweVB44HiQeGB4EHfAd7B4AHhgeIB4kHjQeSB44HhAd3B2sHWwdKBzwHLwchBxUHDQcEBvcG6wbkBt8G1AbFBr8GwQa+BrcGswa3BrQGrAalBqYGpAaXBokGhQaMBpIGkwaXBp4GnwaWBokGfgZ1BmwGYwZZBk8GSAZWBpAG5wccBu4GYQXIBXIFYQVWBSYE6ATNBNIEwwR1A/gDhANMA1YDfQOTA4MDWAMsAxAC+ALUAp4CXwImAfEBrAFEAMAAPv/X/4z/S/8J/sn+iv49/dP9UPzL/Fr8BvvH+4v7P/rc+nL6HPnl+br5g/k6+PL4uviP+HD4W/hQ+Ef4Nfgc+AT38Pfe98v3v/fB99X3/fgx+GX4kfi7+Ov5F/k1+Ur5b/mv+fT6Lvpw+t77f/wv/MT9Lf1j/VP8+vyD/Cr8Afvh+6X7Xvs6+0L7UvtI+yr7B/rU+oH6H/nX+bT5l/ll+Tf5RPmi+iT6g/qZ+oP6g/rB+x77Rvrw+iP5M/h6+BH3zfd79wz2lPYn9cn1dvUp9Nv0hPQm88nzePM88x3zFvMG8sHyMvF38MPwOu/d757vcO9D7w/u2O6t7o7uau4u7d/tku1Y7S/tDezr7MbsoOyH7IjspezQ7O7s8uzi7NDsx+zG7Mvs0+zZ7NTsweyo7JLsgex17GrsYOxQ7DbsFev069zrzevG67jrletX6wnqw+qN6lzqJ+nt6bDpdOk56QDoyOiI6D/n9+e4533nO+bx5qfmaOYu5fTluOV75Tzk+uSy5GbkHOPZ46LjdeNK4xji3OKb4lniGeHc4aXhduFI4RLg1OCW4FfgCN+i3zXe1t6I3jrd6N2c3VbdDdy+3HbcOtv6267bZtss2vXautqg2sXbCNsb2uTaktpT2hHZpdkk2NDYwtjP2MvYr9iK2GPYO9gd2A/YCNf81+vX4dfc19bXz9fO19PX2tfj1/HYBNgf2ErYh9jN2RfZd9n52oja9dso2zfbSNtz27ncE9x63OXdUd293i7ep98n36vgLuCq4SDhk+IL4pXjM+PT5F3kyOUt5armPebO50znwOg66MHpTunb6l7q1utK68rsXu0B7aruVe8H78DwcfEI8YfyDPKv82Hz9PRJ9G70dvRp9GH0pfVr9o73rPiS+V76JPrD+x37XfvK/HX9NP3g/nL+5f88/4v/7gBeAMYBJAGPAgkCewLZAzQDnwQRBH8E5AVFBaIF+gZUBrAHDQdrB84INgicCQEJaAnNCikKhwr2C3EL4Qw8DJAM6A0+DZAN4Q42DoYO1A8sD5AP7xBFEKcRJxG4Ej8StBMjE5oUFBSIFOoVLxVVFWYVbRVsFWMVWRVYFWIVaBVOFQQUoRRgFGYUpRT0FU8VyhZXFssXFhdXF6IX7RgyGIAYwRipGBQXQRaFFe4VaBUTFR4VaRWGFTYUlhPXEwgSRRHmEkwTpxXaGHkayBwbHGMcNhwvHGMcjRybHLYc+x1VHagd7B4YHh8eBR3SHXwdAxySHGocjRy/HNIc0BzOHMMcpByGHH4cgBxlHB8buxtNGuEajRprGnsanhq3Gs0a9BstG2MbgxuVG60bzxvvHAccHhw3HEYcRhw/HD8cQxxDHD4cPRw/HD8cOBwsHBcb9BvKG6QbfxtVGyobCBrsGs4aqxqJGmIaMBn6GcwZqRmOGYgZmxmeGVIYuxg+GDsYmRjeGL0YWxgSF/wX8xfMF44XVBcmFvwW1Ba3FqwWrha2FssW8hcdFzQXLBcSFvoW7xbtFuUWyRaUFk4WCBXHFYsVUxUjFPUUvRR5FDIT8BOxE3QTPhMTEu4SwhKIEkMR+BGzEX0RVhE3ERoRAhDuENEQpxB7EFsQPRATD94PrA+ED2MPRA8mDwoO7A7MDqkOgg5TDh8N7A21DXgNNwz8DMkMnAx7DGgMXgxMDCoL+gu/C3kLLgrtCsgKyArqCx4LPgsjCsMKRgnsCdQJ5wn0CeMJwQmiCYYJZQk/CSIJFAkJCPgI4wjSCL4IpgiPCH4IbghaCEMILwgWB/QH1QfIB8oHxgexB5EHcQdaB1MHYAd0B3IHTwcfBvsG6gbgBtYGzQbDBrYGpQaVBoEGYgY2BgwF9AXxBfgF/AX4Be8F5QXiBecF8gX0BeUFygW2BbQFvgXEBcMFwAW+BbwFtQWtBaUFoAWdBZ0FpAW7BeoGKAZUBlcGNgYXBhAGFAYQBgkGDwYlBjcGPAY2BioGGAYIBg8GNQZfBnIGbwZxBoAGiQZ7BmkGaQZ3BnoGbQZnBnQGiAaNBn8GZwZPBjgGIgYMBfYF4gXVBc4FwgWuBZwFlwWWBY0FegVpBV4FUgVCBTEFIgURBPkE3QTBBKgElASIBH8EcARYBDsEHwQGA+4D2APAA6MDgANdAzwDGwL7At4CwAKeAnkCVwI2AhIB6AG/AZwBewFYATUBFADzANAArQCMAGoARAAb//P/zP+m/4H/XP81/w7+5/7A/pT+ZP41/gn94v2//aL9if1v/VL9Mf0L/OH8vPyh/Iz8cvxQ/DH8F/v9+977vvuj+4n7aPtE+yH7APrd+rj6lvp3+lf6N/oZ+f754PnA+Z/5f/lf+T75Hvj/+N74u/ia+H74ZfhP+Dj4HfgC9+r31ffB9673m/eH93H3W/dJ9zn3Kfca9w/3CfcB9vX26/bj9tj2yfa79rP2rfal9qD2ofai9qD2oPam9q72sva09rv2yvba9un29vcG9xj3Kvc790r3WPdm93T3gPeH95L3ovez98L30Pfh9/T4BvgX+Cj4N/hD+FD4Yfhz+IP4j/ib+Kb4sPi9+Mz42vjl+PD5AfkU+ST5Mfk++U75Xvlr+Xf5hPmR+aL5tfnJ+dv57foB+hb6J/o4+kv6YPpw+n/6kPqm+rz6zvrf+vD7A/sX+yz7PvtN+137cPuF+5b7pvu1+8L7z/vd+/D8BPwb/Df8V/x2/JH8pvyz/Ln8y/z9/Uj9if2s/cr9/f43/lP+Uv5Z/nf+mf6r/rv+2P75/w7/H/89/2H/ff+S/6//1f/5ABgAOABaAH8ArgDrAS8BcQG6AhECaQK0Av8DXQO8A+cDxgOJA3YDtQQ6BOYFnwZYBxAH0QibCVYJ2An1CZUIzAffByMGxAasBrUG0gcNB1kHlQesB6cHowe2B+IIFAgmCAAHtAdqBzoHJQcpB0AHUAczBusGogZxBj0F3QVbBOcEmwRjBCcD4AOOAyoCuAJKAe8BogFSAQAAtQBxACz/5f+h/2D/Hv7Z/pr+Y/4s/fL9uf2F/VL9G/zo/Mn8vPys/If8Uvwb++T7pftb+xH6zPqD+i350vl++TP46vih+Fr4Gffg9673gfdW9yn2/fbW9q72ffZE9hT1+/X69gX2DPYV9iz2VPZ59or2i/aQ9qb2v/bL9sL2pPZw9jH19/XN9a/1lvWK9ZP1pvWx9az1pPWp9bv10vXm9fj2FPZJ9o/2zfbt9vX29Pbi9qn2UfYE9e/2E/ZT9pD2ufbT9vb3N/eP9+P4HvhH+G/4mfi/+Ob5FflQ+Y/5y/oC+jX6ZPqV+sn6+vsj+0j7c/ur++j8IvxU/IT8tfzl/RH9Pf1y/bL9+f4+/n3+t/7t/x7/Tf+B/7n/8gAqAGEAkgC2ANgBBQFAAXwBrAHVAgACLgJaAoMCqwLTAvgDFgMuA0MDXQOCA68D1gPyBAQEDgQLA/sD7wPuA/UD+gQABAsEGwQpBDkETwRsBIcEnQSxBMwE7AUMBRsFFQUGBQwFNwV/BcsGDAY6BlkGcwaZBs0HAQciBzAHOgdHB1QHYQdxB4EHjAeQB5YHmwecB5MHhQd4B2wHYgdfB2cHeQeMB5kHnQeaB5cHmQedB6IHpAehB5gHjQeJB44HlAeXB5kHngehB5sHjAd8B24HXQdKBzcHJQcTBwUG/gb4Bu4G4wbeBtwG0wbIBsQGxQbDBrkGtAa1BrcGswavBq8GrQahBpQGkwacBqUGpQajBqQGpgagBpMGggZ0BmkGXAZOBkIGPQZKBmwGlAadBmoGBwWrBX4FdgVlBTQE9gTNBMIEtQSCBBsDngNDAy0DRgNXAzwDBgLaAsgCwAKsAooCYQI3AgUBuAFIAMMASf/u/6r/Z/8c/tT+lP5Q/fD9a/zQ/D/71/uf+3/7Tvry+nn6Cfm5+YD5RvkC+MH4jfhl+EL4KPge+CL4IvgT9/T30/e496j3o/eo97r33/gU+E/4hPiz+OH5B/ke+TH5V/mZ+eX6J/ps+tn7fPw7/Or9Yf2B/T38s/wq++T73PvT+6P7ZPtG+0r7R/sn+vf6yfqO+jb51vmT+Xb5X/k1+Qn5Dvlf+eL6V/qP+pX6ovrf+zH7QPrM+ej48/hE9+j3rfde9u/2dvYH9af1UvUE9Lb0YfQF867zafM98yjzF/Lp8nnxyfEC8Fzv8u+274/vbO9C7xLu4u697p/udO4x7ePtnO1k7TjtEezv7M/ssOyc7KTsx+zv7QLs+ezm7Nvs2+zg7Ofs8Oz27PDs3ezE7KzsmuyO7IXse+xn7EvsLOwS6/vr5+vV677rk+tP6wTqxuqX6mrqNuoA6czplela6SDo6eis6GToGufZ55znV+cJ5rzmd+Y25fTls+V35T/lA+S95G7kIuPh46zjf+NT4yPi6+Kt4m/iMOH14b7hj+Fk4TXg/+DD4H/gKt/E313fA9603mLeD93F3YPdO9zq3J/cYdwg29PbhttH2w/a29rF2uHbD9sT2uXarNp/2jnZv9k32ObY3djs2OfYzdiu2IvYZdhJ2D3YNtgm2BLYBNf81/LX6Nfk1+fX8Nf+2BPYLdhM2HjYstj22UPZqdot2rPbDNss2zPbTNuF29ncO9yl3RDdeN3d3kbeud8137bgOOCy4SLhjeIB4o/jNOPd5G7k5eVZ5eLmfecS547n9+ha6MjpRenO6lTqzOs/68PsYO0K7a7uUe7/773wdvEQ8YvyC/Kt81/z7fQ/9HD0m/S49L703vVf9kv3Yvhk+UD58fpk+qb68Ptx/B781/2X/lz/BP9y/8AAIgCcAQQBTAGbAg0CiwL3A1MDtwQjBI8E9AVWBbMGDAZoBsYHHwdzB8wILwiWCPwJZQnOCi4KiArxC24L7QxYDLANAA1ODZoN6A4+DpUO6g8/D5sP/hBkENERRhG7EisSmRMNE4IT7hRKFJQUyhTtFQkVJBU5FT4VMBUeFSIVRxVrFVcU9RSBFFQUixT8FXcV6xZSFp8W2BcdF3cX0RgjGH0Y0hjZGGMXnxbdFicVXRSXFB8UAxPyE5cS8BIzEYwRGhEKEY8S2BTwF4UZ1BshG2MbTBuGHAQcUhxHHDYcchzxHXcd2B4SHigeGh3fHXUc9xymHLcdEh1lHXgdVB0cHOQctRyhHLkc7B0WHRAcyBxEG6EbEBqxGoYadRptGnAaiRq0GuIbCBstG2EbnxvXG/wcFhwvHEYcVxxjHGwcbRxlHF0cXxxjHF4cThw6HB0b8RvBG5sbehtUGzMbJBseGwYa2BqtGowaZBouGf4Z3hnCGagZohmlGXgY/Rh1GEkYfxi0GJUYQhgUGCQYNxgVF8YXeRdIFygXChbvFuEW5Bb2Fw8XJhcyFzMXMRcxFy0XHxcJFvIW2BavFnQWMBXvFbEVdxU/FQkU0xSbFF8UGxPSE4sTTxMhEvYSyhKXElsSERHDEYMRVhE0ERYQ/hDqENEQrBCEEGIQQBATD90Pqg+CD2EPSA85Dy8PHg7+Ds8Olw5dDigN+Q3IDZANVw0iDO4MuAyJDGwMXAxNDDQMEAveC5oLTQsKCt4KvQqgCpIKnwq6CroKhgo0CfEJ2gncCdYJugmVCXYJXQlFCTEJIwkZCQ8JAgjsCM0IqAiJCHgIawhbCEkIOAgjCAQH6AfcB9kH0Qe+B6EHfAdQBzUHQgdrB30HWQcXBukG3gbgBtoGzwbEBrYGpAaXBowGeQZTBigGDQYIBhEGGgYfBhsGDQX5BesF6QXrBeMF0wXHBcgFzgXOBcYFvgW7BbsFuAWvBaQFnAWaBZ4FogWqBb4F4QYFBhYGEQYIBgcGBwYCBf0GAwYSBiEGKwYxBi0GHgYQBhgGNgZQBlEGRQZLBmgGgQaABnAGagZwBnEGZQZdBmYGeAaABnkGaAZUBkAGLgYaBgQF7QXdBdIFwwWsBZYFigWEBXgFZwVZBVIFSQU9BTAFJAUSBPYE2QTBBK0EmgSLBH4EbgRXBD0EIgQEA+UDyAOvA5UDeANZAzcDFgL3AtsCwAKhAn8CXwJBAh0B8gHHAaEBfgFbATcBFgD2ANUAtQCVAHQAUAAqAAT/3v+3/4//af9E/x3++P7R/qf+ef5J/hz98/3Q/bL9mP1+/WL9Q/0g/Pj80/y4/KT8i/xs/E78NPwY+/j72Pu++6b7iPtj+z/7Hvr8+tn6t/qW+nb6Vvo4+hz5/fnd+bz5m/l8+V35Pvkd+Pr42Pi7+KT4jfh1+Fv4P/gi+Af38Pfb98n3t/ek94/3efdo91n3Sfc79zD3Kfcf9xP3CvcE9vn26fbc9tX2z/bH9sH2wfbE9sX2xfbK9tH21PbW9t727vb+9wv3F/cm9zj3S/dc92v3ePeE95D3mvei96/3wvfU9+P37/f/+BL4JPgz+EL4Ufhe+Gz4eviG+JH4nPiq+Lf4w/jP+N746/j2+P/5DPkb+Sn5NvlG+Vf5Zvlz+YD5jvmb+av5vvnP+d/57voB+hX6Jvo1+kn6X/px+n76jPqg+rf6zPrc+uv6/PsO+yH7MvtC+1D7X/tx+4T7lfuh+6r7tPvD+9X76fwA/B78Pvxb/Hb8ivyQ/In8m/zq/Wn90f33/fb+BP4n/kD+R/5T/nL+j/6e/rD+z/7w/wX/Fv8z/1T/bP+B/6H/yP/rAAkAKwBRAHoArQDrAS4BcgHDAiYChQLSAyIDhgPeA+8DuQOFA5cD9QR8BRcFwgZ2BygH4giyCYEKEgooCasIwAe/Bv4GoQaIBo4GrQbvB0UHhAeYB5QHlAehB7wH3gfzB+IHqAdeByIHAAb2BvwG+QbVBpEGUgYrBggFyQVxBR4E2gSSBDoD3AOBAyQCwwJoAhoBzQF5ASIA1QCSAE4ABv/A/3z/N/71/rr+hf5N/g/91f2i/XH9OP0B/N38zfy//KL8dfxB/Aj7x/uA+zn69Pqo+k756/mP+UL5AvjI+I74Vvgm9//33Pew93v3R/ca9u32tPZx9jf2G/Yh9jv2VPZn9nn2jPad9qb2q/a29sn22vbd9sr2nvZf9iP1/vXu9eD1yfW39br1yfXQ9cf1ufW09b712fX99iH2RfZ09rL26PcC9wX3CfcK9vL2tPZo9jf2OvZr9rP27/cL9xb3NPdy9773//gz+GP4kfi8+Oz5KPlm+Zn5xPnz+ij6WvqH+rj68Psp+1r7ifu/+/38PPx0/KT80fz+/Sr9V/2K/cX+Av48/nX+rP7i/xP/Qv90/6r/3wARAEIAbwCXAL8A8gEuAWUBkgG6AecCGQJHAm8ClQK4AtgC8wMIAxwDNQNdA48DvQPeA/ID/gP+A+8D2wPQA84DzwPQA9cD5QP6BBYEPwRvBJkEswTABM4E5wUEBQ8E+wTZBMoE5AUhBXEFxwYaBmEGmAbLBv4HLAdIB1MHWwdkB2sHbgdwB3MHdAd1B3kHgQeGB4IHfAd3B3QHcQdxB3QHfQeIB5MHmgedB54HoQenB64HsgewB6gHnwedB6IHpQeiB58HnwecB48HewdpB1wHTwdABzAHHwcNBv8G+Qb2BvAG6AbkBuIG2gbPBskGyQbFBrsGtga3BsgGyAbFBsAGtwatBqcGqwa1BrkGsQalBqIGpQamBpoGhwZ2BmkGWgZIBjoGNwY+BkUGQAYnBfoFxQWcBYsFiAV+BV8FKATpBLQEkARoBBsDqAM/AxMDHwMtAxYC5wLDArYCrgKcAoECZAJCAg8BvwFRANYAaQAU/8n/c/8T/r/+hP5S/gf9i/zj/Db7sftr+1H7M/rw+of6FPmu+Vz5FfjQ+JT4Y/g++Bz4APf19/34Bvf999/3vPeo96b3qfer97H3yff6+Dv4efit+Nf4+PkN+SD5RvmI+dX6G/ph+sn7Z/wo/Nr9Rv1N/PP8a/v/+9z75/vh+637bPtF+zL7E/rd+qL6bfoz+ez5pPlx+VT5Qvk2+Tb5UvmS+fD6S/qD+pr6sPrc+v761fpA+Wr4ofgb99L3mPdH9tv2YfXu9Yn1MvTk9Jb0QfPn85nzZfNH8y7y/fKc8gLxRPCP8A3vyO+o75PveO9S7ybu/e7c7rjugO4x7eDtoO1x7UXtGOzw7NLsvOy17MXs6O0J7RHtA+zy7O7s8uz57QDtCO0N7Qbs9Ozc7MTssOyj7Jzsk+yA7GbsTew17Bnr+eva67nrietJ6wjq1uqt6n7qSeoY6e3pvOmB6UTpDOjR6InoPOf257nneOcu5t7mkeZH5gDlvOWA5UjlDOTI5H7kN+P748fjlONh4yzi9+LA4ojiT+IT4dnhqOGB4VnhJ+Do4J/gS9/t347fNt7j3o7eOt3x3a7dYd0L3L7cgdxF2/vbrNtm2yzbAtr62xfbNtst2wHa1tqx2mTZ3NlP2QLY/9kP2QnY8djV2LbYk9h42GvYYdhN2DbYJdgb2A/YA9f/2ATYEtgo2EXYYdh+2KLY1dkW2WTZyNpA2rDa99sU2yjbVNuc2/PcU9y43R7dgN3h3kjeud8y37LgM+Cs4Rnhf+Hz4oXjLuPX5G3k8uV95hvmvedP58PoH+hw6MjpNem66kLqvOsw67rsYu0T7bTuSe7q76TwY/EH8YfyBfKh81Dz4PQ69H30yfUI9Rr1FvVO9fb29/gP+QP5qfn4+h/6afrz+538T/0i/h7/Bv+Y/+sASQDGATMBdgG2Ah0CnAMOA2sDxQQmBIsE9AVdBb4GFgZyBtYHNQeJB9kIMwiSCPQJXAnLCi8KgwrgC1sL5wxjDMINEQ1aDZ8N5Q43DpcO+w9aD7wQLxCwES4RkxHgEioShxL2E2ITuxP9FC0UUxR6FKwU5hUVFSYVGxUJFRIVSBWMFZIVMRSlFGEUmhUlFbMWJhaDFssXABc4F38XyxgWGGsYuBjEGGoX1RdCFqMVvRSfE6sTHxLHEk0RnxDyEIEQYxCYESQSKhPYFhEYQRmzGkYajBsTG8EcGRv8G9McCRySHRoddB2rHdMd3h20HVodBx0DHWkeAx5xHn4ePB3dHYAdLxz0HOUdDR1aHZYdih0nHJEb/huGGyUa1RqeGoIaeBp2GnsakBq9GwIbVRuiG9scAhwgHD0cWhx1HIcciRyEHIUcjhyOHHkcWRw4HBMb4RuzG5gbhxtyG2QbdRuRG4wbYBs0Gx4bBxrbGq0akhp6GlIaKhoVGfIZlBkPGLEYmBiLGFMYDhf+GCkYTRgyF+cXoheCF3cXYhc3FwcW8BcAFyYXQBc6FyQXHRcwF0QXPxcfFvwW4BbCFpQWVhYVFdsVoxVoFSwU8RS7FIUURBP3E6sTbRM+ExMS4hKqEmsSIhHWEZURZRFAER8RBBDtENEQqxCBEFwQOBAOD98Psw+ID2APRg9CD0oPRg8kDukOpg5oDjQOBg3YDasNgQ1WDSEM4gypDIcMdwxmDEwMKwwBC8ULfAs7CwcKzQqDCkYKSgqZCvkLGgrZCmAJ+QnICbsJsAmXCXcJWglDCTIJKwktCTAJJwkJCNoIqAiECHEIYghOCDkIKwgcCAYH7gfhB90H1wfKB7QHjQdUBy0HPAdzB40HXAcEBsgGvwbLBs4GyAbDBrkGqQaaBpQGiwZxBkwGMAYlBigGMQY9BkQGOwYfBgAF7QXmBeIF3AXWBdMFzAXBBbYFtAW9BckFzwXKBb0FsQWtBa0FqQWfBZ0FrAXJBeQF9QX8BfwF9QXuBewF8AX3Bf4GCQYXBh4GGQYTBhkGKAYsBh4GDwYaBkEGaAZ2BmwGXwZaBlkGVAZRBlUGXgZjBmIGXAZSBkUGNQYkBhAF+QXkBdUFxQWvBZYFgwV0BWUFVwVMBUUFPAUxBScFHAUHBOkEzAS5BKoEmwSMBH8EcARcBEYELQQRA/ADzwO0A5wDgQNiA0ADHQL9AuACxQKnAoUCZAJFAiMB+gHPAakBhgFhAToBFgD1ANUAtQCXAHkAWAA2ABT/8P/I/5//eP9T/y3/B/7g/rn+jv5g/jT+C/3l/cT9qP2N/XP9V/03/RL87vzR/Lr8ovyG/Gn8T/wx/A777fvU+777o/uB+137O/sZ+vX60fqu+o76cfpW+jr6G/n6+dr5ufma+Xv5XPk6+Rb49vjd+Mj4sviY+Hz4YfhF+Cn4EPf69+f31vfE97D3m/eK93v3avdb90/3Rvc69y73Jfcf9xb3Cfb+9vj29Pbs9uX25fbo9un26fbs9vD28/b29wH3EPce9yr3NvdF91X3Z/d694v3l/eh96r3s/e+98z33/fx9/74CfgX+Cn4OvhJ+Ff4Zvh1+IT4kPia+KP4rvi9+Mv41/jk+PL5APkK+RL5Hfko+TT5QflR+WH5bvl7+Yj5l/ml+bT5xPnV+eP58foD+hb6Jvo0+kf6Xfpw+n36i/qd+rL6xfrV+uP68/sE+xb7J/s2+0L7Tvtc+237fvuK+5L7nvuv+8L71Pvr/An8JvxA/Fn8cPxy/GP8cvzU/Xj+B/4//jj+Mf5E/lj+Yf5s/oH+kP6Y/qn+yv7q/v7/EP8r/0j/Xv90/5X/u//d//8AKABVAIEAtQD0ATgBfgHUAjkCmALiAzIDkgPXA8kDgQNgA6YENATNBV0F8AaLBy4H7wjdCdAKawplCb4IsweeBs4GZAZMBmAGkgbeBy4HYAdrB2sHdQeJB58HuQfSB9IHqQdmByYG+gbhBtAGugaRBloGJwYFBecFvAWGBU8FFATCBFkD7QONAzYC4QKRAkcB+QGhAUsBAAC+AHgAL//o/6X/YP8d/uD+p/5q/in97v29/Yv9Uf0Y/PL84fzV/Lz8kvxe/CX75fuf+1b7Dvq/+mP5/fmc+U/5Fvjl+LD4fPhR+DH4Evfo97L3fPdM9xz24Paa9lz2OvY/9mD2hvai9q/2tPa39rr2w/bU9uf29fb19t72qPZc9hz2A/YI9gn19/Xf9dj13/Xm9ef15PXg9eD18vYc9lD2gPaw9uL3CvcZ9xT3Efcb9x73B/bV9p72gfaX9tz3K/dV91b3Vfd197L39vg2+HD4o/jR+QP5Pvl0+Zn5tvng+hn6Ufp/+q766vsv+237ovvY/Bb8WfyX/Mv8+f0l/VL9gP2w/eP+FP5C/m/+nv7Q/wH/Mv9k/5j/y//7ACwAWwCJALgA8AEsAWMBjgG0Ad4CDAI3Al8CgwKlAsEC2ALpAvkDEAM2A2gDlgO2A8oD2QPeA9cDyQPDA8gDzQPNA8kDyQPQA+ED/wQmBEkEXwRsBH0EnwTIBOYE6gTkBOoFCgU7BXcFvgYPBl8GowbgBxoHTAdoB28HbQdqB2cHYwdgB18HXQdbB10HZQdvB3kHgweNB5UHnAehB6QHpQemB6kHrgexB7EHsQewB7AHrweuB6sHqQerB68HrQekB5oHlAeKB3cHYAdOB0IHOActByMHGAcKBwAG+wb5BvQG7gbrBukG4gbWBs0GyQbGBsEGvwbDBuEG5AbfBtMGxAa8BsAGygbQBssGuwarBqUGqQaqBp4GiQZ3BmsGXwZOBkMGQwZCBi8GCgXjBcUFsAWfBZMFkAWVBY8FZQUSBLYEdARKBA4DqQM8AwQDCgMlAywDGgMAAuYCxgKjAoMCZgJDAhEBxgFkAPkAlwBD/+f/df77/pv+Zv5G/g39m/z2/ED7qPtF+xH67vrD+n/6I/m5+VL4+fiw+HT4RPgf+AD35vfV99X33ffZ98T3rveo97H3ufe19673uvfk+Cb4aPic+MH43vj0+Qr5L/lu+cH6FPpl+sr7WfwH/Kn9DP0Z/OD8jvxT/Dn8JPvv+577Vfso+wX60vqR+k/6Ffne+a/5ivlo+Un5PflY+ZH5yfnz+h76T/p0+oT6kPqf+pX6Rvmx+Qz4hPgj99T3hfcq9sD2SPXR9Wz1GvTR9IL0KPPP84rzYfNH8xzywvIz8YDwzvA/7+fvvu+v76Pvje9q7z3vEu7u7sXugu4n7dDtl+117VLtJOz27NfsyezN7OLtAO0V7RXtCOz+7QHtCe0Q7RjtIe0j7RntBezu7Nfsw+y27LDsquyb7IXscOxX7DfsD+vo68DrjetR6xnq8erM6p3qZ+o56hLp4+mm6WbpLejz6KzoW+gP587nk+dS5wfmueZs5iXl4OWc5VvlGuTX5JPkVOQa4+Tjq+Nx4zrjCOLY4qbib+Iz4fbhxOGg4X3hS+EJ4MDgc+Af38Xfa98T3rzead4f3dfdhd0s3N/co9xq3CPb0tuG20rbKNsu21LbattV2yfbA9rg2orZ9dlj2R3ZItk32TDZF9j92OHYv9ik2JTYiNh12F7YTNg+2C/YIdgc2CPYN9hV2HjYldir2MfY9dk32YbZ4NpB2pja1Nr+2y3bb9u93A7cYty+3R/dft3f3kfeuN8v36zgK+Ci4Qvhb+Hk4nnjJePN5GXk9+WV5j7m3+dk583oIuhr6LrpIOmi6ivqp+sg67HsY+0a7bruRu7a74jwQ/Dq8XTx9vKN8zLzwfQq9Ij08/VO9WT1QfU39Zr2evef+LP5aPmo+bH54Ppd+wf7yPy9/ez/CP+7ABEAYADSAUQBlwHjAkoCwgMuA4gD3AQyBI0E9gVmBc0GJAZ9BuYHUAeoB/MIQAiUCO0JVAnHCjAKggrUC0cL0wxVDLcNBQ1PDZIN0Q4eDoUO+A9hD8gQRRDbEWURvxHuEh0SahLPEywTcxOkE8gT6hQdFGsUwhUAFREVBBT5FRAVTxWSFZQVMRSlFGkUuRViFg4WnRcWF3EXmBeXF5oXxBgXGH4YyxjKGHQYBRenFzEWUxUSE9MS6RJCEZ4Q8RBrEDQQUBCjERkRxhLmFJUWiBgtGT8aABrKG4kb4xvPG7Qb6RxXHLMc4h0JHT4dZh1aHSkdEx1VHe8enR8PHyce/x7BHnseHR2nHT4dGh1KHZcdsh1/HSQcyRxxHAobohtXGywbAxrMGpwajxqpGtobGRtkG7Ib9BwhHD0cUxxqHH8cjByWHKQcrhykHIQcYRxFHCccABvnG+ob9RvuG+Ub/RwpHDQcEhvwG+wb6hvHG5YbfBtsG0UbCBrXGq8aahn8GYgZKhjQGGkYFRf+GBkYLhgTF9oXsRetF7sXshd6FyQW4BbXFwAXLRc1FyEXGBcrF0cXSRctFwcW6xbTFrAWexY+FgMVyxWRFVIVEhTXFKEUZRQcE88TjRNbEy0S9xK2EnESKxHoEasReBFPETARGBEAEN0QrRB+EFgQNxAVD/IPzA+hD3EPUA9ND1kPVw8yDvcOuQ6DDlEOHw3tDcQNpw2JDVkNGAzbDLQMngyHDGkMSQwnC/cLuQt6Cz0K+AqjClsKVgqvCzkLlgt9CvQKUAnlCcoJ1wnbCcAJjwlcCTgJLQk3CUQJQQkiCOwItQiMCHQIXghDCCwIHggUCAIH7AffB90H2wfTB8AHlwdcBzUHSQeFB5sHXAbtBqAGkgaiBqwGrwa2BrwGtQaoBqAGmAaFBmgGTQY7BjEGMQY7BkgGSwY7BiAGCAX4BewF4QXVBcUFsQWhBaAFsgXPBewF/QX7BekF0gXCBbkFrQWgBZoFpQW9BdYF6AXwBewF4AXYBdkF3AXdBd8F6wX8BggGCQYKBg8GEwYKBfgF7gX7Bh4GRQZaBlYGRQY4BjUGOQY8BjwGPAY+BkIGRgZEBjkGKgYeBhEF/wXqBdYFxgWyBZkFgQVtBV0FUAVFBTkFKgUcBRMFCAT0BNgEvwSvBKIEkwSFBHsEcARgBE0EOgQjBAcD5wPKA7ADkwNzA1IDLwMNAu0CzwKvAooCZgJGAiQB/gHWAbEBjQFlATwBFQDxANAAsACUAHkAXgBBACIAAP/Z/7D/iv9m/0H/G/71/s7+pP55/k7+Jv4A/dz9vP2g/Yf9bf1P/Sz9B/zn/Mz8svyX/Hz8YfxC/B/7/vvk+877tvuX+3P7Ufsu+wn64/rA+qL6ifpy+lf6OPoX+ff51vm2+Zf5ePlW+TT5F/kA+Or40vi4+J/4hvhs+FH4Nfge+Ar3+Pfn99T3wvex96H3kPd/93L3ZvdZ90z3Q/c99zX3K/cj9x73GvcT9w73DvcQ9w/3DfcN9xD3FPcZ9yP3MPc890f3VPdh93D3gfeW96j3tPe898X30Pfd9+v3/PgM+Bn4Ivgu+D34TPha+Gn4efiJ+Jf4pPiv+Lr4x/jV+OL47fj4+QX5Evkd+Sb5Mfk8+Uf5U/lh+W/5evmE+ZL5ofmv+bv5yvna+er5+foK+hv6K/o5+kn6W/ps+nr6ivqb+q76vvrM+tv66/r7+wz7G/sq+zf7Q/tP+137a/t2+4D7j/ui+7X7x/vc+/b8D/wl/D78WPxe/E38Uvyp/Ur95P40/kj+WP51/oz+kv6V/pv+nf6c/qn+xv7i/vL/A/8d/zf/TP9k/4X/qP/K//IAJwBbAIsAwwEHAU0BkgHkAkYCoQLnAy8DggOvA4YDNwM2A7cEfQUsBagGDAZ3BwkH7AkcCjoKxAp8CZIIZwdOBn0GEwYJBjsGhAbOBwsHLgc7B0gHYAd9B5UHqwfBB8UHpwdxBzcHBQbYBq8GiwZoBkEGGgX3BdUFsAWKBWUFMwTmBIEEGQO8A2UDEQLBAnQCIwHOAXwBNQDwAKUAWQAU/9L/j/9J/wj+yf6I/kb+Cv3V/Z79Yv0r/Qj8+Pzr/M/8ovxu/Dj7/Pu1+2X7FPrD+mz6Dfmw+WT5K/j3+L74hPhT+DH4FPfy98r3nvdv9zv2/va79n32WPZZ9nn2o/bB9s32zvbM9sr2z/bc9u/3APcI9vf2wvZz9i/2GPYk9i32H/YH9fn19vX59gL2D/YU9gz2C/Ym9lv2lfbH9vb3Hvcz9zP3Lvcv9zb3OPcp9wX22/bO9vj3Qfd494X3g/ea99H4Fvhb+Jj4yvjx+Rr5S/l7+Zz5ufnk+h/6WvqK+rj68fs0+3j7tfvw/C38bPyp/OD9Ef0//W39mv3G/fH+G/5C/mj+kv7A/vL/JP9W/4j/uf/qABwATwB/AK8A5gEkAV8BjwG2AdgB+gIbAj4CYQKCApwCrgK5AsIC0ALqAw8DNANRA2QDdAN/A4MDgwONA6IDtAO2A6oDmgOPA48DmgOsA8ID2APwBBQERwSCBLgE5QURBUQFegWnBcwF8wYlBl0GkwbJBwQHOQdWB1oHTwdCBzsHOwdAB0gHTgdSB1gHYgdyB4YHmAejB6kHsAe6B8MHxwfFB8UHxgfGB8QHwge+B7gHsgesB6oHqgerB6sHpAeYB4wHggd1B2IHTgc9BzIHJwccBxMHCwcCBvsG9wb1BvEG6wbpBukG5gbdBtMGzgbOBtAG1AbaBvkG+gbzBuIG0QbMBtUG3wbfBtUGxga6BrQGsgasBpwGhwZ3Bm0GYgZXBlQGVwZLBiAF5AW3BaQFnwWUBYcFhwWYBaIFfwUmBLsEbAQ8BAMDogM1AvYC/AMuA2ADdwNpAzkC9wK9ApMCbwJFAhIB0QF+AR8AxABuAAj/g/71/or+Vv47/gX9mfz//Fn7wvtF+ub6pfp/+l/6JPnG+Vn4+Pis+G34OPgP9/L32PfA97T3tfe397D3pveo97T3vfe49673s/fU+Av4Rvh0+Jb4svjM+Of5C/lK+ab6Efp4+uD7W/vw/IP87/0i/Sn9Gfz9/Mf8aPvs+3f7K/sB+tn6nvpa+hf52fmm+Yj5eflg+Tv5Mflk+bj58/oI+hn6OfpN+kD6Kvon+hz54Pl2+Qj4rPhM99z3avcC9pj2IvWs9U71CPTC9G70EvO/84PzWvMx8ufyaPG/8RDwf/Ad7+bvzO++77Dvmu9270XvFO7q7rzudO4R7bTtf+1v7WHtP+0R7O/s4+zs7QHtFu0f7RjtDu0N7RjtJe0x7TvtQu0+7SztFOz97Ors2+zS7M/sy+y97KnslOx97F3sN+wO6+Hrqetp6zPrDOrq6r/qjOpe6jTqA+nF6YTpSOkP6Mzofegr5+Lnpedr5yvm5Oac5lbmD+XE5XjlMeTv5K7kbuQy4/jjv+OH41XjJ+L54sjikOJT4hXh4+HB4aDhb+Ev4OngpOBV3/zfn99G3vHent5R3gTdsN1Y3QrcytyM3ETb89uo22vbTdtY237bkNt320zbMNsO2q3aC9l12TfZR9li2VvZPtkk2QrY6tjM2LjYq9ia2IbYdNhi2E7YOtgw2DbYTthz2JrYuNjM2OfZGdli2bXaB9pT2pfa0tsM20/bmtvh3CXcb9zJ3SvdjN3u3lbex98+37jgMeCg4QLhY+Ha4nLjHuPF5GHk/uWm5k/m4udV57LoA+hP6KHpCOmJ6hTqlesW66/sZe0e7b/uS+7Z73vwJ/DL8Vvx5PJ28w7zlPQH9IH1DPV/9aD1b/U89Wb2Fvcv+F75PPmO+X/5fPnR+nv7Xfx8/c3/CP/aAD8AhADgAUwBsgIXAoQC7wNLA58D9ARHBJ4FAwV1Bd8GNgaNBvcHZQfACAkIUAibCOwJTQm+CiwKgQrRCzsLvQw3DJMM4Q0vDXcNtg4DDm0O5Q9ND6oQHRCuETURiRGwEdwSKhKIEtgTERM/E2oTmxPlFE8UvRT+FQEU5xTgFQIVQRV0FWYVBRSPFHEU3RWbFl0XCxeuGCoYSRgOF80X4hhZGO0ZQRkmGLoYTBgDF6gW6hXGFJATjhK9EgMRbBEXEQ0RNhF5EcISFhKnE7gVTBcEGHgZlRp7Gy0biRubG6gb4hwoHEccRRxVHI4cyhziHOIc/x1bHeMeZR68HusfDR8vHzke/B5tHb8dSR04HV8dcR1WHTMdJR0QHNUchRxKHCYb8RufG1QbLRshGxYbFBs5G4ob6BwrHEccTxxaHG8ciBydHKscqxyZHIEcdhx3HHIcaBx2HKYc0BzMHKscoByxHLMclxyBHIsclBx0HD8cIxwdHAUbyhuIG1YbJxrqGpoaNxm5GSkYrBhjGEMYJxf4F8MXohehF7YXwxeoF18XCRbXFt8XCBcoFzMXNxdFF1YXWBdDFyMXBBbqFswWohZrFiwV7RWxFXYVNxT3FLwUghQ+E/ATpRNoEzMS+RK4EngSPxIJEc8RlBFlEUoROxElEPsQwhCNEGcQSRArEAwP6w/AD48PaQ9eD2APVA8vDv4O0g6rDn4ORQ4KDdwNwQ2pDYENRg0JDN0MvwyiDIMMZQxJDCUL9Au2C3ELJgrYCpYKfgqpCxQLiAuvC1wKvwo8ChMKMApMCjYJ7gmWCVAJMAkwCTsJOwklCPkIyAieCH8IZAhICDIIJggcCAgH8QfkB+UH5gfcB8QHmgdkB0QHWQePB6AHXAbsBp0GkAafBqQGogaoBrcGvwa7BrIGpQaSBnkGYQZMBjkGKwYoBi8GNwY4BjIGJgYWBgAF6AXNBa8FlAWJBZgFvAXnBg4GJgYmBhAF7gXRBbwFrQWkBakFuAXJBdUF3QXgBdwF0gXKBcoFygXGBccF1QXnBfIF9wX8BgMGBAX7BfMF8gX6BgsGJAY4BjsGLgYgBh4GJAYoBiUGIAYhBigGLwYuBiEGEwYMBgkF/wXrBdUFwgWwBZoFggVvBWEFVAVEBTAFGgUIBPwE8gTiBMsEtwSnBJcEhQR3BG8EZwRZBEgEOQQpBBMD9wPZA7sDnAN9A14DPgMbAvgC2AK2ApECagJHAiQCAAHaAbcBlAFsAUEBGQD1ANIAsgCWAH4AZQBLAC0AC//l/7//mv95/1b/Mf8L/uP+uf6O/mb+Qv4d/ff90/20/Zn9f/1i/UD9Hfz7/Nz8wPyk/If8a/xN/Cz8Dfvy+9v7wvuj+4D7Xfs7+xj69frU+rv6p/qR+nX6VPox+hD57vnN+a75j/lx+VT5Ofki+Qv48vja+MT4rviV+Hr4X/hF+C74G/gL9/z37Pfc98z3uvep95n3i/d993D3Zvdf91j3T/dI90P3Pvc59zf3OPc49zX3Mvcz9zb3OvdB90r3VPdc92b3c/eB9473nvey98T3z/fX9+H37/f9+Ar4GPgn+DP4PvhJ+Fb4Y/hx+H/4jvic+Kn4tfjD+NH44Pju+Pn5AvkL+Rf5I/kt+Tj5RPlS+V35aPl0+X/5iPmS+Z/5rfm4+cP50Png+fL6AvoS+iH6MPo/+k76XPpq+nj6iPqa+qn6t/rE+tP65Pr0+wH7Dvsa+yn7OPtF+1H7Xftn+3P7gvuV+6j7ufvM++P7+vwN/Cf8RfxT/Ef8QPxz/Ob9Yv28/fv+O/54/pj+mv6V/pf+l/6W/qD+tf7J/tb+5/8C/x3/M/9P/3H/kv+0/+MAHwBYAIwAywEYAWIBogHsAkoCogLkAyEDYgN6A0cDBwMwA+sE4wWkBgkGMwZhBtwH3glHCn0K2Qo5CQsH1wbfBjEF2wXhBiUGcwawBt4HBwcsB0sHZweCB5kHrge5B7QHmQdyB0MHDAbMBo8GZAZIBi0GDAXmBcIFogWHBW4FSQUKBLYEWwQAA6UDSQLxAp4CTAH5AawBZgEfANQAigBHAAX/v/92/zH+8P6u/mr+K/3v/bH9cv09/R79D/z+/Nv8qfx0/EL8Cfu++2P7Cfq4+mr6F/nF+X35QvkF+MD4e/hB+Bv4BPfz9973vPeJ90v3CfbK9pP2c/Z29pj2wPba9uX26Pbi9tb2yvbK9tr28/cG9wL22vaW9lj2QPZI9lD2R/Y59i/2J/Yc9hz2K/Y29ir2FfYa9kX2f/az9uH3Dfc19073VvdT90/3Vfdh9173PfcU9wv3Lvdf94H3m/fD+AD4RfiF+Lz45vkF+Sf5VvmO+b/56foW+kv6gfqy+t/7DvtC+3/7w/wF/ED8c/yk/Nb9B/03/Wb9kv27/eL+Cv4x/lj+f/6r/tv/C/85/2f/l//I//kAKABTAH4ArwDrAS0BZwGPAakBvAHQAeoCCgIoAj4CSgJOAk8CUQJaAmwChgKhAroC0ALhAu0C+QMSAzQDUQNcA1QDRwM/A0ADSANWA2sDiAOvA+AEGgRWBJME1AUcBWgFqgXZBfcGEwYzBlUGeAaiBtUHBAcfByAHDwb+BvYG+wcKByEHOwdVB24HhQecB7EHvge9B7QHsAe4B8YH0AfUB9QH0wfPB8wHywfKB8UHuwexB6kHpAefB5kHjweEB3kHbwdjB1UHRgc5By4HIQcVBwkG/wb2BvAG7gbrBuYG4QbfBuEG4wbiBt4G3QbiBuoG8Qb2BwsHBwb/Bu8G4AbdBuQG5wbhBtcG0AbLBsIGtAalBpQGhQZ5Bm4GXwZTBlQGWQZDBgYFuwWIBXgFcwVrBWYFbgWABYAFWAUIBKsEYQQnA+EDfgMWAtgC3gMcA24DqQOtA3cDKALmArcCiQJRAhYB2gGTATwA5ACSAC3/pf8O/pz+Yv4+/f79jv0D/Hj78/tu+u76jPpZ+kP6HfnO+Wj5DPjD+IP4R/gW9/T31ve696j3pvet9673qvep97H3ufe697f3uvfM9+/4GvhB+GH4gPii+MT46fkk+YT5//p4+uT7Vfvf/Hb8+v1V/Yv9n/2E/Sn8kPvk+177E/rn+rT6cvov+fP5ufmI+W/5ZvlN+SL5FPlE+Yv5sPm6+dr6DfoS+dP5k/mT+bz5xPmR+UH44/hn99H3R/bb9nX1//WM9Tj0+/Sy9FXz/fO784nzUfMA8ovx8/FP8L7wV/AY7/Tv3u/L77bvmO9u7znvBe7Z7qnuX+357ZjtZu1m7XHtYu077RftCu0S7SPtMO0z7S3tKO0t7TvtTO1d7Wrtbu1h7UTtJe0P7QLs/ez77Prs9ezm7NLsvOym7Ivsa+xE7BTr1euQ61PrJusD6tzqr+qA6lDqHOnh6aPpZukr6O3opuhU6ADnt+d750LnBObD5n/mOOXq5Z3lVeUR5Mzkh+RH5A/j3OOt44LjVuMm4u/itOJ24jriCeHm4cThlOFX4Rfg1+CL4DHf1d9+3yre1t6D3jPd4d2M3Tvc8tyr3GHcF9vU253bftuD25/bqtuS23LbYttC2tbaJtmN2VfZdNmT2YrZatlO2TXZFtj02NrYydi42KXYkth92GPYSNg42DzYVdh92KfYx9jg2QLZQNmW2fHaQtqG2sLa/ts/24Tbw9v63DHce9zd3Ujdrt4Q3nje7N9k39rgSOCq4QThaOHm4oHjJuPE5F/lAuWv5lDm0Ocw54Ln1Ogo6IXo8+l26gHqh+sR67DsZu0b7bzuS+7Z73LwE/Cv8UTx1fJn8vLzbfPk9G/1EPWY9cz1qfVv9XD14/bQ+AP5EvmW+Yr5Vvly+gX69/wq/YT+0f/RAGsAxAEQAWUByQI6AqsDCANUA6QEAQRdBLQFEwWBBesGRQadBwMHbQfGCBIIXAioCPMJSAmxCh0KeQrOCzQLqwwZDG8MvA0MDVkNnw3vDloOzQ8tD30P3BBWEMsRGBFGEYAR2BI2EnkSqBLZExgTYhPCFD8UthT0FOsUyBTDFOkVGxUyFRMUwBR0FH8U/RW3FmwXGhfYGIEYwBiEGDMYShjaGYAZwRl5GOwYdhg0F+8XZhaaFcEU/BRGE6MTNhMRExsTMxNPE2cTbhOBE/gVEhafGCMZSRoQGpga8BsqG2QbpxvWG9Qbuxu8G+ocKBxbHIgcxh0WHWIdmB3DHf0eVx7DHw8fBB6UHe4daB0uHSUdGB0AHQQdMR1bHVgdMx0THPsczhyKHFAcLhwDG7QbXBs8G28bzhwcHD4cRBxMHGUchBybHKIcmxySHJgcshzPHN8c7x0jHXsdvh23HXYdOR0ZHP8c2hzGHNEc2By5HIUcaxxuHGccORv0G7obmhuQG4cbXBr4GmYZzxlUGPMYnBhIF/wXuheLF38XnRfJF9QXpxdaFx4XERctF1QXcBd+F4EXfBdtF1MXMRcOFu0WyhacFlsWERXPFZkVYRUgFN0UnRRZFAoTtxNuEzAS9RK8Eo0SbBJGEgwRxBGLEXERaRFWEScQ6BCwEIgQZhBDEB8P/A/VD6gPgw9uD2APSg8nDwQO5w7MDqUObw4zDf8N2Q25DZINXg0mDPUM0Qy0DJkMfwxkDEcMIgvqC50LSQsBCsgKlwp8Cp4LAgtjC2sLEAqgCnIKiAqhCoYKMQnHCW4JOQkmCSMJIAkTCPkI0witCIwIcwhdCEsIPggwCBkH/gfwB/AH8AfhB8QHmwdvB1QHYAeGB5IHYAcPBuAG5wb6Bu8GzQa1BrQGvwbGBsMGtgaiBosGdgZiBkwGNQYkBh0GHQYjBiwGMQYqBhcF/gXgBb8FowWaBaoFzAXyBhQGLAYvBhwF+wXcBcQFswWtBbYFxQXPBdAF0QXVBdYF0AXKBcQFvAWyBbMFwQXVBeEF6QX0Bf8GAgYBBgQGCwYLBggGDgYeBikGJQYcBhoGHAYaBhQGEQYUBhkGGwYWBgkF/gX7Bf4F+gXoBdEFvAWqBZcFhQV3BWwFXAVGBS0FEwT+BO8E5ATXBMcEtQSkBJEEfQRtBGEEVgRHBDYEKQQbBAgD7wPUA7UDlQN2A1sDPgMdAvsC2wK6ApUCbgJKAikCBQHiAcIBowF+AVUBLAEHAOMAwgCkAIoAcABTADMAEf/t/8n/qP+I/2b/Qf8a/vL+x/6d/nn+Wv44/hH96P3E/aX9if1t/U/9MP0P/PD80fyy/JP8dPxX/Dr8HvwE++n7zPur+4j7ZvtF+yX7B/rt+tn6x/qx+pL6bvpJ+iX6A/ni+cP5pfmK+XD5WflC+Sr5Efj7+Of40vi6+KH4h/ht+FT4P/gv+CH4FPgG9/b35PfT98L3s/ek95j3jveG9373dPdr92P3Xfda91z3Xvdc91j3VvdY91v3Yfdp93T3fPeB94r3l/ek97D3vvfQ9+D36vfz9//4D/gc+Cb4Mfg/+E74W/ho+HX4gfiN+Jr4p/iy+Lz4yPjW+OX48/kB+Qz5Fvkf+Sr5NPk++Un5Vvlj+W/5efmD+Yz5l/mi+a75ufnD+cz52Pnn+fj6CfoX+iP6MfpB+lH6X/pq+nj6iPqX+qP6r/q8+sv62vrp+vX6/vsI+xf7J/s2+0L7Tfta+2f7dvuH+5j7qPu6+9D75fv6/BP8M/xL/En8PvxN/IH8xv0O/WP9yf4g/kb+Rf5B/k3+XP5n/nP+g/6S/qH+uP7Z/vn/F/84/13/f/+j/9UAEQBKAIAAxgEZAWMBnQHhAjwClALTAwUDMwM+AxQC9QNRBEAFYgY7BpwGpQaeBuwH3QlICnYKpQnBCGQHOAZ1Bf8FygXYBhUGVgaFBrQG9gc7B2gHeweIB50HsQezB58HgQdlB0EHCAa+BnoGTQYyBhYF8wXPBbIFngWQBYMFaQU3BPAEngRFA+MDfgMeAsYCcgIgAdQBkAFOAQsAyQCGAD3/7/+j/1//Hf7W/o3+Sf4K/cn9iP1S/TH9IP0L/OX8sfx7/En8Dvu++1v6+vqo+mH6GfnU+Zb5XPkY+Mn4fPhC+CP4GvgZ+A335fee90z3AvbI9p32i/ad9sf27vcB9wX3Bvb89uD2v/av9rz22/b29v325Pay9oL2avZr9nD2b/Zz9nn2cPZT9jr2O/ZH9jz2HfYP9iv2X/aO9rD21fcG9zz3Zfd093L3d/eQ96v3o/d090D3LvdC9273pffn+C/4b/ik+M748PkP+TP5avmx+fv6Ofpq+pX6wfrw+x77Qvti+437y/wN/EH8ZPyE/Kv82f0H/TT9YP2J/a/91v38/iL+R/5u/pj+wf7o/xT/Rf91/5//xP/mAAgAMgBoAKgA5AEOASMBLgE7AVEBbwGNAaIBqwGtAa0BrgGxAbwB0wH1AhkCOQJQAl8CcAKMArAC0gLoAvIC+gMJAx0DMwNLA2gDjQO6A+wEHQRNBH8EugT+BT8FdgWgBcUF7gYVBjYGUgZxBpYGugbQBtMGxwa6BrYGvgbTBvYHJQdcB48HtwfTB+UH6AfbB8YHuAe4B8IHzQfUB9gH1gfPB8cHxgfIB8YHvAewB6YHnQeTB4gHfQd0B2oHXwdUB0kHPgczByYHGgcPBwMG+QbwBuoG5wbkBt8G2wbYBtkG3wbmBu0G8wb9BwgHEAcPBxYHDAcFBv0G9wb3BvgG8gbjBtgG1QbPBr4GqAaVBokGggZ7BmoGUAY6BjUGNgYeBd8FlAVfBUcFPAU2BToFRwVHBSoE9gS5BH0EPwP0A5cDMALXAqQCpQLYAywDeAOVA3cDPgMNAuMCqwJgAhgB3QGeAU8A/QCwAFT/0v89/sb+gf5N/f79if0K/Jf8Kvuu+yj6tfpu+kj6HfnT+Xf5Jvjl+Kn4avgw+AT34PfD97T3t/e/97/3t/ey97b3wPfI98z3zPfP9973+/ge+D/4YviK+LX43PkN+V/50fpJ+rT7J/u8/G39Df17/bT9wP2Y/S78kPvr+237Hfrc+o/6Pvn9+c35n/l0+Vv5T/k0+Qn4+fkZ+UX5Vvlq+av58fnb+WL4/vka+Y353PnJ+XH49vha97H3JfbC9mP17PV69S308vSj9EPz+PPK85nzP/K48hjxd/Ds8IXwRPAa7/7v6u/X77vvku9c7yPu7+7E7pbuT+3t7Y/tX+1m7X7tfe1g7T/tMO017UHtSu1P7VHtVe1d7Wrteu2L7Zntmu2G7WPtP+0n7R7tHe0f7R/tGu0M7Pns5OzM7LLslOxv7D/sAeu863zrSOsf6vnqz+qe6mnqNOoD6c7pkelQ6RPo1OiI6C3n1eeO51PnGebZ5pfmVOYN5cXlgOU55O/kp+Rq5DjkDOPi47njjeNZ4x3i3+Kh4mbiNuIQ4enhuOF94UPhBuC94GbgDt+632TfCd6w3mDeEt3A3WzdG9zN3IXcR9wR2+Lbwdu828jbx9uv25vbl9t32wDaSNmx2YbZqtnL2b/Zmtl72WDZPtkX2PjY49jQ2LvYptiP2HHYUtg/2EPYXdiE2K3Y0Njz2SPZbtnO2jLaidrP2wvbRNt927Tb4twK3D3cjdz43Wrd09423qDfFt+P3//gYeC54RbhiuIa4rfjSuPR5F7lAeWr5j7mqub650nnougE6G/o5uls6fXqfusN66/sYu0S7bDuPu7K713v9vCR8SvxxPJa8uLzWPPP9F/1BvWW9d311/Ww9aL13faF95r4x/mL+af5ZPlJ+ar6fvub/Of+SP+LAH0BDgFaAZAB2gJCArIDDQNVA6UECQRvBMsFJQWIBe0GSwamBwkHawfCCBMIZgi3CQEJTAmnCgwKawrFCyoLmgwDDFgMogzuDToNhA3ZDkEOrg8LD1kPsBAZEH0QxBD3EToRlxHvEikSUBKFEtMTMROcFBUUhBS8FLYUoBSqFNEU6xTaFKUUZxROFIkVGBXEFlsW8RexGIIZARj/GMkY2RlJGbkZuhlEGK0YTRgtGBMXzxdsFwkWqRY8FdQVnRWfFbMVvRXAFbsVkBVKFUQV3xcGGDkZChl7GcgaGRpyGswbHhtVG2YbYRtkG34bpxvbHBwcZhyiHL4cxBzPHPkdRx2iHeYd8R2+HWodIRz4HN4cwxyzHM4dFh1fHYEdfh1wHWEdSh0xHSkdJRz2HH8b6RuBG3MbpxvkHAccFBwiHD0cXxx7HI0cnxy9HOsdHB08HUcdXR2iHgkeVB5QHgwdvh2DHVEdIx0LHQwdCxzvHMkctxy8HLcckhxSHBIb7hv0HBUcIhv1G5AbERqQGhIZlxkoGMIYUxfcF4gXjhfuGFsYfBg1F74XaRdcF4IXrBe8F7cXqRecF4kXaRc+FxUW8xbLFowWOxXxFboVihVLFQAUtRRsFB0TyRN7EzkS/xLRErYSqBKOElISARHBEaURnBGGEVURFhDdEK4QghBVECwQCQ/mD78Pmw9+D2YPSw8uDxIO+Q7dDrsOkg5kDjIN/w3PDaANbw07DQoM4gzHDLMMnAyBDGYMSgwcC8wLbQslCvQKuwpxCk0KgQrtCzMLIQriCrsKuQqxCn8KKQnLCX0JSQkvCSEJFwkKCPcI2wi6CJ4IiQh4CGUIUwg/CCUICAf0B+4H6QfYB7wHnAd7B2EHXQduB3cHYQdCB0MHaweIB24HJQbfBr0GuwbHBs4GyQa4BqAGiQZ0BlwGQwYvBiIGGwYcBiQGLQYvBisGIwYXBgIF6AXUBdEF2wXsBf8GEAYXBg8F+wXnBdYFxwW/BcEFyQXNBcwFzwXXBdsF2AXQBcYFuAWpBaQFrwXABc8F3gXvBf4GBQYLBhcGIAYbBgwGBwYRBh0GIAYcBhcGDwYFBgEGBgYNBg0GBgX9BfUF8AXvBfMF8AXiBc0FtwWjBZIFhQV9BXMFYgVJBS4FFgT+BOsE3QTSBMUEtQSkBJIEfwRsBFkERwQ0BCIEEgQCA+4D2APAA6UDhQNnA00DNAMXAvgC2QK5ApQCbwJOAjACEAHxAdYBuwGbAXQBSgEiAPwA1wC2AJgAegBZADYAE//x/9D/sf+Q/23/Rv8e/vX+y/6j/oP+aP5J/iL99/3P/a39jv1y/Vn9Qf0n/Qv86/zJ/Kb8hPxm/Ez8MvwX+/r72fu2+5L7cPtR+zL7F/sC+vL64frI+qf6gvpd+jn6F/n4+dr5vfmi+Yr5dPld+UT5LPkX+QP47fjW+MD4qviS+Hn4Y/hS+ET4Nvgo+Bj4B/f19+X31/fK97/3tveu96T3mfeN94H3evd393r3fPd693f3d/d69373hPeN95n3oven9673uvfG99L34Pfv9/34B/gR+B/4L/g6+EP4TPhZ+Gf4dfiE+JH4nvir+Lf4w/jM+NX43/jr+Pf5A/kR+R75Kvk1+T/5SflU+V35aPlz+X75h/mO+Zf5o/mw+bz5xfnO+df54vnv+f76Dvob+iX6MPpA+lH6YPps+nn6h/qT+pz6p/q1+sP6z/rb+uf68fr7+wj7F/sk+y/7PftN+1z7aft3+4f7l/uo+7371Pvp/AH8H/w8/Ej8RfxE/Ez8X/yE/Mz9Mv2J/a39rf2z/dD99f4Q/iL+Nf5J/mH+gv6r/tP++f8g/0j/bv+X/8oAAwA4AG4AtAEEAUoBgQHCAhcCawKnAtMC9QL5AtwC4gNrBIEFxAbABz8HUQcxB0UH9gk4Cl0KjwmdCCEG4QYqBdkFwAXRBgEGMwZfBpgG7wdHB3kHgQeDB5YHqgelB4cHaAdUBzgHAga6BnsGUQYxBgwF5gXHBbUFqwWoBaMFjwVjBSIE0wR5BBYDrgNMAvMCnAJJAf4BvwGHAVABEwDJAHQAHP/N/4j/Q/72/qf+YP4i/eH9n/1k/T39J/0Q/Ov8t/yA/Ev8Dfu7+1n69/qi+ln6F/nf+bD5fvk7+Oj4nfhx+Gf4cfh4+GD4HPe19032/fbK9q72sPbS9wX3J/cu9yj3JPcX9vP2xfas9rj21vbv9vT24vbA9pz2h/aC9oX2ivac9rD2rPaD9lb2SfZT9k72LfYU9iH2R/Zj9mr2dfad9uP3Mfds94f3lfey9973+Pfk96/3gfd595v32Pgj+G74qfjT+PH5DPkq+VD5hPnL+h76cfqx+t36//sm+1H7cfuC+5j7wfv0/Bv8MvxJ/Gv8k/y8/OT9D/05/WD9g/2k/cH93f3+/iH+Q/5l/pH+xf72/xr/NP9N/2r/i/+1/+cAGQBAAFgAaAB7AJYAugDeAPoBCgEVASEBMQFDAVoBegGlAdQB+wIWAiYCNAJJAmYChQKiAsAC4gMGAyYDQwNgA4EDpwPSA/4EJgRNBHkErQTlBRIFMQVOBXYFpgXVBfgGEQYmBj0GVgZsBnwGhQaLBpUGpAa9BuMHHAdgB58HzQfnB/MH8wfoB9gHzAfHB8cHyQfPB9QH0wfKB78HuQe5B7YHrgejB5sHlAeMB4IHdgdsB2AHUQdDBzkHLwchBxIHBwcBBvwG9AbtBukG5gbhBt0G2wbaBtkG4AbuBv4HCwcVByEHJwciBxsHDwcMBxAHFAcYBxQHBQbuBt0G0gbEBq0GlAaDBnwGeQZwBlsGNgYSBf4F9QXfBa8FdAVEBSMFDAUCBQgFCQTpBK4EdgRZBEQEFAO1Az4C0QKJAmUCXwJ2Aq8C9wMrAzcDKgMZAv0CwAJpAhkB3gGoAWQBGQDQAHn//v9v/vb+pP5e/gH9jP0Y/LT8Vfvq+3X7CPqz+nH6Lvnd+Yb5O/kB+M74lvhb+CP39ffY98/31ffb99T3yPfE98v31vfe9+L34ffe9+X3+/gc+D74YviP+MH46vkO+Ub5nvoD+mX63fuJ/Fr9Ev19/Zz9iv1T/PX8ePv5+4/7NPrR+mT6BfnI+aX5g/ld+UP5NPkb+Pf45/j9+Rz5MflY+aj53/me+Pz4l/je+Yr5+fnj+XL44fg795L3Dfax9lb14PVu9SD04/SV9EP0DfPp86LzGPJf8aXxDfCi8F/wNvAX7//v8u/l78fvj+9J7wju1O6q7oHuRu337ajte+187Y/tke187WPtWO1Y7VvtX+1n7XXthO2P7Zfto+207cLtwu2r7YXtYO1H7TvtNu0z7THtL+0p7R3tCOzr7MzsrOyI7FvsIuvl66jrcutD6xvq8urA6ofqVOos6gLpx+mA6Tzo/ei26F3oAOew523nLubs5qzmbeYu5e3lqeVh5Rbk0uSd5HDkROQX4+vjv+OL40/jEOLS4pniaOI84g/h2uGj4W3hNODt4JvgR9/z35ffNd7b3o3eQ93x3ZrdR9z93LzchtxX3CrcB9v62/rb8NvY28rbyNuf2yDaadnf2b/Z5toC2e/Zxtmh2X/ZV9ku2Q/Y+tjn2NPYv9ip2IvYa9hZ2F/Yedic2MLY6tka2VvZr9oS2nna1dsh21zbjdu62+TcCtww3GXctd0c3Ynd7d5O3rrfM9+q4BXgcODL4TnhyOJv4w3jiOPu5GTk/OWc5h7md+bA5xfngef06Gro5+lr6fHqeOsH66jsWO0F7aHuK+6v7zrvz/Br8Qjxp/JB8s7zSfPC9FH08PV59cj13vXa9dj18/ZZ9y74TPk7+Zn5ePlM+XX6CPrx/CX9mf8gAG0BQwGkAcUB6wI6AqUDCQNcA7AEFASBBOUFPwWXBfAGSQamBwgHZwe+CBEIaAi/CQ0JVwmpCgQKXgq4CxoLhQvtDEYMkAzUDRgNYg24DhoOfw7dDzYPkw/3EFIQlxDLEQsRXhGvEeYSDRJDEpMS8xNXE8EUIBRXFGUUcBSaFMoUzRSVFEcUFhQlFIkVNBXuFogXERfCGJkZPxlvGUwZORlYGWgZIRiTGBUX7RgJGCcYHhf9F+AXxRecF3UXcheVF7wX0hffF9wXpBc4Fu4XIRe+GFEYihiNGKsZBBl8Ge8aVRqsGvEbIBs5G0MbTBtqG6Eb4RwOHCEcJxwvHD0cTRxYHFscWBxbHGwchByPHIMcbBxmHIQcxB0IHTkdTR1NHUYdSB1eHYcdpB2IHRwcfhvuG6AblxuwG8gb0xvcG+0cChwyHGgcrx0EHVcdjx2gHZwdqh3lHjoeeR6CHmIeNR4IHdcdrB2YHZcdkh1/HWsdYh1dHUcdHhzkHKQcbRxUHFwcbBxkHDsb+BudGygaqRo8Gd0ZaBjFGCYX5RgmGKkY9hjLGE4X2hetF7wX3BfqF+IX0RfDF7UXnxd3F0gXHRbyFrcWZRYTFdUVpBVqFR4UzBR+FDAT4BOWE1cTIxL9EuwS5RLMEo0SORH4EdoRzBGvEXsRQBEIENMQnRBsEEYQKBAHD+APug+cD4MPaQ9NDzAPDw7tDswOsg6UDmoOMg31Db4NjA1bDSoM/wziDNEMwAyoDI4MdwxOC/8LnQtTCyoK+gqqCmAKWwqcCuEK+wryCuQKzgqcCk8J/Am2CYEJXwlPCUYJNwkhCQcI6wjNCLYIpQiTCHkIXAhBCCcICgfvB90H0QfCB64HmweHB3AHYAddB18HWgdaB3kHsQfRB7EHWgcABssGvgbHBtMG1AbFBqoGjgZzBlgGPgYuBioGLgYxBjIGMwY1BjsGRgZRBk8GNwYUBfcF6QXnBe0F9wX/Bf8F+QXxBekF3wXVBdAF0AXSBdQF2gXiBeUF3wXVBcsFvgWtBaAFoQWrBboFzgXkBfUGAAYJBhcGIQYcBg4GBwYMBhMGEwYPBgYF9gXmBeYF9AX/BfoF7AXjBeIF4gXiBeEF3wXWBccFtAWgBY4FggV9BXQFYgVJBTEFGgUBBOoE2gTQBMQEtASkBJQEgwRuBFUEPQQmBBID/wPrA9YDwQOtA5QDdgNXAz0DJgMMAvEC0wKzApACbQJQAjYCGwH/AeYBzwGyAYsBYAE2AQ0A5gDDAKMAgwBfADoAFv/0/9T/tP+S/2v/Qv8X/u7+xf6g/oP+af5M/if9//3Z/bX9lP13/WL9UP0+/Sf9Cvzo/ML8nfx9/GH8R/wr/Av76fvG+6T7hPtk+0X7KfsU+wP67vrT+rL6kPpv+k36L/oT+fj52/m9+aP5jfl1+Vz5Qvks+Rj5A/ju+Nv4yPi0+J74iPh1+GP4U/hE+DP4IfgR+AP3+Pfu9+T33PfT98r3vvew96P3mfeV95b3l/eW95X3mPed96H3pvet97j3wvfJ99D32/fn9/T4AfgP+B34KPgz+EH4T/hZ+GL4bPh4+IP4kPid+Kv4uPjF+NP43vjo+PH4+/kG+Q/5GPkk+TL5P/lK+VP5X/lq+XP5e/mE+Y35lvmc+aP5rvm8+cf50PnZ+eT57/n6+gX6FPoi+iz6NvpE+lP6YPps+nn6hvqO+pb6ofqw+r36xfrP+tz66Prz+wD7DvsY+yH7L/tA+0/7Wvtm+3X7h/uY+6z7w/va+/D8Cvwm/Dz8R/xL/Ez8SfxR/Hn8wP0C/SL9Kf08/Wf9mP28/db98f4Q/jL+Wv6H/rX+3/8J/zP/Xf+M/8D/9gApAF4AngDlASYBXwGeAegCLgJmApQCswKwApgCtQNYBH8FzQbcB3sHrQeWB40ICgkvCnAK5wogCIYG+AYEBacFmgWxBd4GFAZLBo4G5Qc8B3EHfweDB5MHnweTB3QHWwdOBzUHAgbDBo4GZwY/BhYF8wXeBdEFyAXDBb0FqwWABUAE8gSbBDsD1wN5AyICzAJ6AjQB/gHRAZ8BXAEFAKIAP//r/6P/XP8N/r/+ev48/fr9s/1x/UL9I/0G/N78qvxz/D38APu0+1n6+vqi+lT6Fvns+c75qPlr+R/44PjH+NX48fj3+Mj4Yvfg92v3HPbw9uH27vcY90j3YPdb90/3Sfc/9x728fbX9t328Pb59vP24vbJ9qz2l/aO9or2jPaZ9qv2qfaD9lX2SPZY9lz2QfYl9iT2MvYt9g/19/YJ9k32s/ca92X3jPeq99j4Dvgu+Cn4EvgI+Bn4RPiC+Mf5Bfkx+Ur5Xfly+Yf5nvnD+gX6Yfq8+vj7FPsq+0n7Zvt2+4H7lvu1+9L76/wK/DH8Wfx7/J78xfzu/RT9M/1N/WD9df2Q/bH90P3v/hn+Tv5//qD+tP7J/uP+//8c/zz/Yf+F/6X/w//iAAYALwBcAIUApAC9ANoA/gEmAU8BegGpAdgCAAIbAisCNQJDAlcCcgKTArwC6QMSAzADRgNcA3gDmAO+A+cEDwQ3BGYEngTWBP0FEgUlBUMFawWRBa4FxAXWBeYF+gYWBjgGWgZ5BpYGsgbOBvAHIAdbB5EHtwfLB9QH1wfYB9oH2wfYB88HyAfIB8sHygfCB7gHsAerB6UHnQeUB40HiQeFB30HcgdlB1YHRAc0BygHHgcPBv4G8wbwBu8G7AboBuUG4gbdBtoG3QbgBuIG6gb9BxIHIAcnBy0HMQcqBxwHEQcVByEHLAcuByUHEAb1Bt4Gywa0BpsGhQZ1BmkGXQZOBjgGEwXmBcEFqQWUBXUFTgUnBP8E3QTMBMcErwRxBCUD+wQGBBkD+QORAwYCjQJDAiMCFgIYAjMCagKpAtoC9gMBAvECugJnAhkB5AG4AX8BOgDxAJoAJ/+i/yj+yP5t/gP9kP0m/Mr8cfwS+7L7V/sA+qn6UPn2+Z/5U/ka+PP4zvid+GD4JPf99/L39vfz9+X32ffd9+v39ff29/b3+Pf7+AH4FPgz+FT4dvik+Nr5Bfkj+Ur5jfnd+jH6pvtf/Ef9Cv1r/XH9Sf0N/Lz8XvwA+6b7QPrC+j/52vmj+Yf5avlE+Sb5FvkB+OL40Pjh+Qj5Mvll+Z/5p/lA+KD4YfjS+ZH5+fnP+VT4x/gt94n2//ac9kH10PVd9QT0wfSD9FL0NfQH85Xy2fID8UzwyPB38EnwLPAU8AHv++/179Pvje847u7ut+6O7mzuRe4T7dvtte2s7bLtsO2h7ZPtje2J7YDteu2B7ZXtqu237b7tye3a7ent5u3N7anthe1r7VntTO1B7T3tQe1H7UTtL+0M7Ojsyeyn7HrsQuwI69DrnOtr60HrGOro6q/qe+pV6jHp++mx6WPpHOjW6IXoLufd55TnTucL5srmjeZQ5hDlzOWE5T7lAeTR5KXkdORB5BLj6OO544LjROMG4szimOJn4jTh/+HL4ZnhYuEe4NDgfeAm38bfYt8K3r/ec94e3cndfN083QPczdyX3GPcPNwt3CrcHtwJ2/zb8du62zPah9oQ2fvaHNot2hPZ5tm72ZDZYtk72SPZE9kE2PXY5tjV2LrYnNiM2JPYq9jL2O/ZH9lf2a/aCNpm2sXbINtv263b2twA3CjcUtx/3LTc+N1L3aPd+t5X3sTfPd+04B3gfuDl4WfiDOK/41jjv+QM5G/k+uWN5f/mTuad5wbng+gC6Hzo9elz6fPqdusD66DsS+z37ZPuGe6T7xTvpfBB8OHxf/Ib8qzzLvOt9Dr0z/VN9Zz1xvXo9gj2KPZg9uT3vfij+Tj5YflZ+W35xvp1+4n9AP6sADQBSgHXAgMCEwJBApgDAANhA7oEHQSNBP0FYAWwBfcGQQaYBvoHXAe1CAgIXQi2CQ4JYQmzCgUKWgqwCw0LcAvVDDAMfAy7DPkNQQ2SDeoORQ6iDwIPYg+/EBUQXBCSEMkRDxFeEaIR1RIIEkkSlxLvE1ITsxP5FCEUThSXFNcU1hSNFDET/RQTFIEVRxY3Fw0XshhJGOsZbhmXGWwZMRkMGNwYdBfrF4sXhxfFGAEYERgAF+4X5hfjF+sYDxhOGJAYxRjtGPkYzRhuGBsYCBgUF+4XhRcuF0EXvRhcGOgZXhnPGj8anRrTGt8a2hrnGxAbQxttG48bsRvIG8MbnRtkGy8bGhs8G5Ib8xwrHCwcFRwHHA8cKhxYHI0cthzFHMYc1x0FHUAdbR1wHTkcyxxKG+kbxhvRG+Qb5BvVG8ob1Rv+HEoctB0pHY8dzB3hHeMd8x4cHk0ecB6CHo8elx6MHm4eVR5UHmAeYh5YHlAeSB4vHf4dxx2THVwdGBzVHKUcjhyGHIMcdRxAG9obYRsGGs4ahBn0GToYrRiLGLYY1hiyGF0YFBf2F/kYAhgGGAMX+RfqF9wXzRevF30XRhcSFtkWjRY5FfAVtxV/FToU7RSgFFMUBhPAE4YTWBM6EysTHhL8ErcSZBImEgYR7xHLEZgRYxEwEPkQwBCSEHUQXBA2EAcP3w/FD7EPmA94D1QPLg8KDu0O1g69DpcOYg4nDe4Nuw2KDVgNJgz+DOgM3AzODLkMnwx1DC0L0guJC2ELOwr3CqgKegp9CpsKvwrhCvMK2wqVCj8J9wnBCZQJdwlyCXYJaglKCSQJAwjmCNEIwQisCIwIZghHCCwIDQfrB9AHvweyB6YHngeWB4YHcgdjB1kHUAdPB2YHjAecB3oHNQb0BtEGyQbOBtYG1QbDBqYGigZzBlgGOQYlBikGOwZLBlEGTwZLBkwGWAZqBnEGXQY1Bg0F+AX0BfYF+gX8BfwF+AXzBe8F6gXlBd8F3QXdBeAF5QXpBecF4AXYBdEFxwW1BaIFmAWbBakFvQXSBeIF7QX3BgIGCQYIBgMGAgYEBgUGAgX9BfIF3gXMBc0F3gXpBeAF0QXLBc8F0gXPBcsFyQXGBb4FsQWgBY4FgQV7BXIFYQVJBTIFGgUBBOgE2ATOBMEEsASfBJAEgARpBE4ENAQcBAYD8APaA8UDsQOcA4MDZQNHAy0DFgL+AuQCxwKpAogCaQJPAjcCHAIAAecBzwGyAY4BZQE8ARQA7ADJAKkAigBnAEEAHP/4/9b/s/+N/2P/N/8M/uP+vv6c/n/+ZP5G/iX+BP3k/cL9oP2B/Wn9Wv1M/Tv9JP0F/OD8uvyX/Hn8XPw+/B/7//ve+777ofuD+2L7Q/sq+xT6+vrb+rv6nfqA+mP6Sfox+hn5/Pnd+cD5p/mN+XH5V/lA+S35GvkJ+Pj45/jV+ML4rviY+IP4cfhg+E/4Pfgt+CP4G/gS+Af3/ff19+z34ffW98r3v/e597b3tve297f3vPfD98n3zffS99n34ffo9/H3/PgJ+Bf4Jfgz+D/4SvhW+GL4bvh5+IX4kfib+KT4rvi5+MT40Pje+Oz4+PkD+Q35GPki+Sv5M/k++Ur5Vflf+Wf5cvl++Yf5jvmV+Z/5qfmv+bP5u/nI+dP52/nk+fH5/voG+g76Gvop+jX6QPpM+lj6Yfpq+nb6gvqK+pD6nPqr+rj6v/rH+tL63vrq+vj7BfsP+xf7JPsz+0D7SPtT+2P7dfuG+5n7sfvJ+9779PwN/CX8OPxL/Fv8Yvxk/HP8mPzE/OL89v0U/UH9b/2S/bH91P37/iH+SP50/qH+zP71/x//Tv+B/7b/6gAeAFMAjQDKAQgBRwGFAb4B9AIrAmECgAJyAlYCfAMlBD8FbQZdBvIHOQdOB24H+QknCpYLYArWCSUHOwXtBWoFXwV7BasF7wY+BowG2AcjB18HhQeaB6UHoQeKB3EHYwdbB0AHDQbVBqYGfQZQBikGEQYGBfoF6QXbBdEFvQWSBVEFBASwBFQD9gOdA0sC+wKxAnQCSAIeAeYBlgEyAMMAWf/+/7L/bP8m/uL+ov5f/hT9xP19/Uf9HPzx/Lz8g/xO/Bv75Pug+0768/qa+kz6Ffn3+eX5yvmZ+V/5M/kt+Un5avlo+Sn4tPgu97v3b/dG9zn3R/dq94z3mfeR94j3h/eB92T3O/cg9xv3G/cR9v/27fbZ9r/2pvaU9ob2dvZq9mj2X/ZE9ij2KPZC9lP2SPY29i/2I/X19a/1e/V89bX2G/aX9wb3Svdr9433y/gV+FD4cPiC+JH4qPjT+Rj5Z/ml+cX50vnY+df5x/m4+c/6IPqM+tz69fry+vj7Efss+z/7Uvtt+5D7uvvq/Bz8R/xo/Ib8qPzM/O79Dv0o/Tz9Tv1n/Yn9qf3G/ej+Ff5A/l7+cf6F/p/+u/7T/uz/Cv8u/1b/f/+n/8z/8wAfAE4AeACbAMAA7AEdAU4BegGiAcgB6gIEAhQCHgIqAj0CVwJ5AqQC0AL0AwoDGQMsA0UDYgOFA60D2AQBBC8EaASkBNEE7AUABRoFOAVUBXAFjAWpBcIF3AX/BikGVAZ9BqQGxwbkBv8HIAdIB3AHjwekB7AHtwfAB84H2gfbB9AHxAe+B70Huge1B7AHqwelB50HlAeLB4IHfQd3B3AHZQdaB0wHOwcqBx8HFgcJBvkG7QboBuYG4gbfBt8G3QbYBtcG3gbnBu0G+AcNByQHLwcvBzAHMQcqBxwHFgceBywHMgcqBxkHAwbtBtcGwAalBowGdgZhBkcGLAYXBgYF6QW7BYgFYQVGBTAFFgTxBMUEoASKBHYERwP2A6sDmgPFA/YD7AOQAwACcQINAd0BzgHOAd0CAwI/AoACsgLLAsUCmwJZAhsB7gHJAZgBVgEMALcAUP/Z/2H+8P58/gL9j/0u/Nn8gfwn+9P7hvs0+tn6e/oi+cr5evlB+Sb5Gvj++MX4ffhD+Cf4HfgR9/739Pf8+A/4GPgU+BL4Gfgg+CT4L/hJ+Gr4jvi7+PD5Hfk++Wf5pfnr+i/6mPtR/Dv8+/1Q/Uv9I/zu/KX8Tfv5+6b7Pfq2+i75y/mV+Xf5V/kw+Q/4/Pjp+Mz4tfjC+PL5LPlZ+Wv5RfjX+GD4U/jX+Yn52/ms+T74xvg795X2+faG9in1wPVM9OP0lPRn9F30VvQU83LykfG68RvwsPBq8EHwLPAd8BHwDfAC79nvi+8x7uXuq+6C7mXuT+407hLt9O3n7ePt3e3R7cntxu3A7bHtpe2p7bzt0O3c7eTt8e4F7hHuCe3u7crtqu2S7X7ta+1c7VjtYu1x7XPtXe047Rbs++zc7Kvsa+ws6/XrxOuU62nrQOsU6t/qp+p66lPqIenb6YvpPOjy6KjoWugM58Dneec15vTmtOZ05jLl7+Wq5WjlLeT85M3kmeRk5DXkDOPj47HjduM44vviwuKN4ljiJuH44crhkuFN4QDgsOBZ3/nfmN9C3vTeot5K3fnduN2D3U7dE9zQ3I/cY9xT3FLcStw83DHcG9vQ20LaptpF2jfaS9pL2ivZ/9nR2aPZddlT2ULZONkt2SPZHNkR2PvY4NjQ2NbY7NkK2S/ZZtmz2gzaZNq32wnbYNu22//cNdxf3Inct9zj3Q3dO9103bTd/t5X3sXfQd+74CvgmOEO4ZjiOeLh43Dj0uQa5Hnk/eWI5fTmR+al5x7no+gh6JTpBul86fbqdesB65vsQOzn7YLuBu557vPvgPAe8L7xW/H08obzC/ON9Br0rPUl9XT1rPXt9jr2efai9tn3SPfr+I75BflN+YH5xvpH+yr8ff4c/7oBCwHiAkUCXQJrApsC8gNXA7gEHASQBQ0FeAXFBfsGMwZ+Bt4HRQekB/YIRwiiCQYJZgm7CggKWAquCwcLYQu8DBUMZAykDOENJA1vDbsODQ5nDsUPHQ9sD7sQBhBDEHcQthEKEWARohHOEfQSKRJ5EuwTaRPMFAkUQxSWFOUU9xTBFHAUMxQnFHAVNhZlF5gYcRjkGSEZQxk7GQsY1BitGHwYHxejFz8XIxdFF3EXfhdsF1sXYBd4F50X0xgdGG4YtBjiGO8Y1BibGF8YJBe+FwwWPhXIFfIWlRdPF+QYVxjCGTAZlBnZGfUZ/hoaGlYanRrcGxcbUht4G2wbNBrrGq4amBrBGykboRvmG+QbvhuZG38beBuWG9kcHBw9HEQcVBx6HKYczRztHPUczBx+HEEcQxx1HJ0clxxwHEgcNRxBHHAcwB0hHX4dxx34Hh4eQB5fHnEeeh6KHq0e0h7dHtAeyx7iHwQfFB8OHwUe9R7MHogeRB4SHegdrx1lHRwc6BzSHNQc1RyqHEIbxRtxG1UbOxrjGkwZrhk1GNwYhxg0GAQYBhggGCwYJBgdGCMYJxgbGAUX8RfXF6oXbhcyFvgWtRZnFhoV1xWbFV0VHBTXFI0UPxP2E7wTlBN7E2kTUhMjEtgShhJIEiUSCRHgEa4RfRFOERsQ5xDAEKgQjBBbECIP+g/oD9oPvQ+UD2wPTA8yDxsPAg7iDroOjA5bDigN9A3BDY0NUg0aDPUM6AzjDNQMtgyJDE0MBwvJC5sLbgsvCuUKpgqBCnkKkQrACuMK1AqbCmAKNQoFCcUJkgmFCZAJigloCT8JHQkBCOoI2QjHCKkIgghdCD0IGgfzB9QHwge4B7AHqweoB58Hjgd4B2MHTgdBB0IHSAc5Bw8G4gbMBs8G2QbeBt8G1ga+BqMGmAaZBo0GaQZABjAGOwZQBmEGagZrBmMGXgZiBmYGWAY4BhkGDQYQBhIGDgYHBgAF+AXwBesF6wXqBegF5gXmBeYF5gXmBeYF4gXdBdYFywW5BaQFlgWXBaQFtQXEBc0F1AXZBd8F4gXlBekF8AX1BfUF8wXxBecF0wW/BbwFxwXOBccFvQW6Bb8FwAW9BbkFtwWzBa8FqQWgBZMFhwV+BXUFZAVLBTAFFgT9BOcE2ATLBLwEqQSWBIYEdARdBEQELAQTA/gD4APLA7kDpAOMA3ADUgM2Ax4DBwLuAtICtgKZAnwCYAJGAisCDgHxAdYBvQGgAX8BXQE5ARQA7QDKAKsAjgBsAEYAIP/7/9b/sf+J/17/Mf8H/uH+v/6f/oL+Zf5H/ij+DP3x/dL9r/2N/XH9XP1O/UP9M/0a/Pj80/yw/JH8cvxT/DX8F/v4+9r7v/uk+4b7ZvtK+y77EPrt+sz6sPqV+nv6Y/pO+jf6Gvn6+dz5wfml+Yj5bflX+UX5Nvko+Rn5CPj2+OX40/i9+Kb4k/iD+HP4YfhS+En4Qvg4+Cr4HvgU+Az4A/f79/P36vfi99333Pfd99734/fr9/P3+Pf79/74AvgK+BT4IPgu+D34S/hY+GL4bfh3+IL4jfia+Kf4tPi++Mb40Pja+OL47Pj3+QX5Efkb+Sf5M/k/+Un5Ufla+WT5bvl3+X75hvmP+Zj5n/mn+bL5vfnE+cb5y/nW+eD55/nv+fz6CfoS+hf6Ifou+jr6RvpR+lv6Yvpo+nL6ffqF+ov6lfqj+q/6t/q/+sj60vrb+uj69vsC+wv7F/sk+y37NPtA+1H7Y/ty+4X7nPu0+8j73Pvz/An8Hfw4/Fn8dfyE/I/8o/zC/OL9Af0j/Ur9bf2L/av90f35/hz+Pf5k/pD+u/7k/w//Qf92/6r/3AARAEoAgQC3APMBNgFyAZ4BygIGAkUCXgJCAiACSgLtA+AEygVsBcoGFgZ3BwYH4AkeCoALVArmCTsHLQW3BSgFJAVBBWsFuQYhBn8GxQcHB08HkAe5B8IHsQeWB4MHfQdzB1IHHwbtBsIGlgZnBkMGMwYsBh4GCAX3BeoF0QWhBVwFDAS2BFsEAgOvA2UDIQLkArMCigJcAhkBvAFPANwAbwAO/73/e/9D/wz+z/6D/iz91f2K/VD9Gfzb/Jj8Wfwl+/f7xPuF+zj64vqL+kL6Evn6+er51fm5+Zz5i/mP+aT5tvmm+WT4/fiP+DL37Pe+96v3r/fC99L32ffb99333vfP96z3gfdj91X3SPcy9xr3Cfb39tv2uvae9oL2XfYz9hP1/vXr9eH17/YS9i/2OfY89j32IPXR9W71MPUw9WH1tvYn9p/29PcY9yn3VPei9/v4R/h++J/4ufjl+Tb5n/n4+ij6N/o9+jr6Hfns+db6Afpg+rP6yvq1+qX6tvrc+wP7JvtP+4P7vvv5/C78WPx6/Jr8ufzW/PP9Ff06/Vf9bf2G/ab9yP3j/fv+GP43/k/+Yv53/pL+sP7N/ur/Cv8u/1f/gf+n/8b/4wAGADAAWgB/AKEAxwDxARsBPwFcAXUBjgGmAbgBxQHVAesCCQIsAlMCegKZAq8CxQLhAwEDIQNDA24DmgPAA+QEEQRFBHMElQSzBNQE9wUaBUIFcQWhBcwF8wYZBj8GYAZ/BqEGwgbeBvYHEAcvB1IHdQeUB6gHsQe4B8UH0QfQB8UHuQeyB64HpwejB6IHoAebB5QHjgeFB3oHcAdoB2AHVgdNB0QHOAcpBx0HFgcOBwAG9AbsBuYG3wbbBt0G3gbaBtoG4gbuBvYHAQcVByoHMQcuBysHLAcoBxwHGgcmBzEHKwcVBvwG6gbcBsoGsAaSBnQGWAY5BhMF8AXaBc0FtwWLBVMFIQUABOkEzQSmBHkEVgRBBCQD5wORA08DTgOFA8IDzwOTAxUCeAHwAaQBlAGhAbEByAHyAi0CYgJ/AoACaAJAAhYB8QHPAZ8BYAEYAMwAdgAN/5X/E/6J/gD9if0s/N38iPwt+9r7k/tJ+vb6ovpT+gP5tPl8+Wz5dvlz+Uj4/Pit+HT4VPg++Cn4Gvgf+DL4Pvg++D34Q/hG+D/4P/hV+Hn4ofjN+P75LflV+Yb5x/oG+j76n/tT/DX83/0a/Q/8+vze/J38P/vl+5b7NPq0+jH5z/mV+XD5S/ki+QD47Pjd+Mf4sfi5+Of5Hvk8+TT5Afit+GL4afjb+XL5wPmj+Un42/hT96r3APZ89hv1vPVK9M/0bvRH9FX0XPQK80ryXfGY8RXwuvB08EnwOvA18C7wI/AN79zvke8+7vbuvO6O7nDuXu5N7jXuH+4W7hHuB+327ert5+3j7dvt1e3c7e3t/O4E7gzuGu4t7jfuLe4S7fHt0+287ajtle2H7YXtk+2k7aTtjO1o7UrtNO0V7N/smexV7CDr8uvE65Xraus/6w/q2Oqi6nLqQeoD6bnpauke6NXoieg55+vnpedk5yPm4Oac5lvmHOXc5ZnlWuUj5PLkweSP5F3kMeQH49jjouNk4yXi6OKw4n7iU+Iq4fvhv+F44S/g5OCS4DXf199+3yjez9553jDd993H3ZLdUt0J3MTcldyB3Hrcc9xs3GbcRtvo21Xaydp/2nTaeNpn2kLaG9n02crZo9mI2XnZb9lm2WDZX9la2UrZNNkj2SPZNNlP2XXZrdn62lPaptrt2zXbjNvy3FbcotzU3PjdFd0u3UTdXd2E3brd/95Y3svfTN/N4Ebgv+E74b3iReLS41XjveQV5HzlAeWM5f7mX+bL50jnxOgy6JvpC+mA6fXqc+sA65rsOezY7Wvt7O5e7tfvZ/AI8KrxRPHY8mTy5/Nr8/30k/UP9WH1ovX89nD21/cH9wn3EvdT99X4efkW+ZH57fpQ+vH79/1d/vMAeAGqAmUCqgKvArsC8wNQA7cEIgSYBRMFfQXFBfUGJAZnBsQHLgeQB+QINAiSCP4JZgm5CgAKTwqoCwALUAugC/UMRwyMDMkNBw1JDY4N3Q44DpUO5Q8qD3QPwxAIED8QfRDSES8RdRGXEaoRzRIhEqsTSBPCFAYUORSDFNcVBhT/FNMUlRRWFFsVARZSF84YzBkSGOEYnBhuGFwYYxhzGGkYIxeoFyUWzBasFq0WrBanFrIW2xcWF0sXfRe6GAAYNxhOGEkYNRgcF/cXqBcPFjUVbRUeFWgWDxa4FzcXjxfSGBIYVBiLGKoYwhj6GWEZ3BpKGqka/xs2GzMbABrFGpwakBqzGwgbaxudG4sbVBsfGvoa8hsjG4sb9xw2HE0cXRxvHHwcjxy5HOUc4xy6HK0c7x1eHakdqh1+HU4dKB0KHPwdCR0xHW4duB4FHkgeeR6UHpwenR6oHsUe5B7xHuwe8x8XH0UfXB9YH0kfNR8LHskegx5QHi0eCx3fHa4dgR1kHVsdUR0gHLYcNRvXG60bkhtcGwEakRoKGV0YmBf3F74X7Bg5GF0YThg5GEAYUhhOGC8YCxfrF8UXkRdVFxkW3BaZFlEWCRXHFYoVUBUWFNIUgxQ2E/cTzhOzE5wTexNEEvgSpxJqEkUSJxH+EccRkRFgETERBRDlEMwQqBBuEDEQDBAAD/EPzQ+dD3cPYg9WD0YPLA8HDt8OuQ6TDmUOMA36DcINgg08DQYM8AzrDN0MvAyRDGcMPgwTC+QLqgtiCxUK0QqcCn4KgQqeCrMKpgqJCn8KfgpYCgAJrAmNCZYJlgl7CVgJPAkhCQUI8QjjCM0IqgiACFcILAgCB+IH0wfMB8MHvAe5B7MHoweKB28HWAdLB0cHPQcYBuEGuwa8BtQG5wbuBu4G4gbHBrEGuwbgBvEG0AaPBlYGPQY+BlIGbQZ/BnoGZgZYBlUGUAY+Bi0GKQYuBiwGHQYMBgAF+AXzBe8F7wXuBewF6wXqBecF4wXiBeYF6QXlBdsFzQW9BasFoAWhBawFtwW9Bb4FvQW9Bb4FvwXDBcwF1wXgBeUF5wXoBeAFzgW5Ba4FrwW0BbUFswWxBa8FqwWqBaoFpwWeBZYFlAWWBZMFjAWEBXoFaQVNBS4FEQT6BOgE2QTJBLYEogSQBH0EaARRBDsEJAQKA+sD0AO8A6wDlgN7A10DQAMmAw8C+ALeAsECowKFAmkCTQIxAhMB9gHaAcABpgGKAW0BTwExAQ8A6gDGAKYAiABmAEIAHf/6/9f/s/+M/2P/OP8Q/uz+zP6w/pP+dP5T/jP+F/38/d/9vf2Y/Xb9Wv1I/T/9Nf0i/QT84vzC/KT8hPxl/Ej8LPwN++370vu5+6D7g/tn+0v7LPsK+uj6yvqu+pP6e/pl+k36L/oQ+fP52fm++aL5h/lx+V/5UflG+Tn5KfkY+Qj49vjh+Mv4u/iu+J/4jfh++HT4bPhf+FD4Qvg3+C34JPge+Br4FfgP+An4B/gH+Aj4CvgQ+Bn4IPgj+CP4Jvgs+Df4RPhS+GL4b/h6+IP4jPiX+KL4rvi7+Mn41Pjd+Of48/j9+QT5C/kU+R/5Kvk1+UL5T/lb+WT5bPl0+X35h/mS+Zn5nfmi+ar5svm6+cT5z/nW+dj53Pnl+e/59fn7+gX6Efoa+h/6J/oy+j36R/pR+lz6Yvpo+m/6efqB+of6jvqY+qL6q/q1+r/6xvrN+tb64/rv+vr7BvsR+xr7Ivsv+0D7T/te+3D7hvub+637wfvY++38APwb/EH8avyJ/Jz8sPzK/Ov9Df0t/Uz9aP2E/aT9yP3s/gz+Kv5P/nv+p/7R/v7/M/9p/5r/ygABAD0AcwCjANoBHAFVAX0BrAHxAjACNwIGAeICEgKlA2UEBgRgBJAE5wWmBr8H9QkZCg4Kggn/CHcGlQU/BM4E4QUEBSkFeAXvBl8GrAbtBzsHjAfDB9MHxgexB6QHnAeJB2MHNgcPBu4GxQaYBnQGXwZPBjwGKQYcBg4F7gW1BWYFCwSuBFID/QOzA3MDPQMOAuYCuwKEAjYB0wFlAPUAiAAi/8z/iv9X/yb+6P6Y/j395P2a/Vv9HPzU/Ir8S/wY++n7s/t1+y763fqJ+kP6FPn5+eP50/nQ+dr55fnq+eX51Pmr+Wr5Ifjh+Kn4c/hD+Cj4Ifgi+CL4Jfgv+Db4KfgC98v3mvd/93X3a/dX9z/3K/cW9vT2yvak9oH2U/Yb9eb1w/Wx9a/1w/Xk9gH2FfYq9jj2G/XF9V31J/Uz9WX1p/X+9mj2wPbp9vH2//cs93L3w/gP+E74g/jG+Sz5q/oY+lf6c/qM+qb6qPqA+k/6Sfp7+rv61vrF+rD6uPre+w77Pvty+6z75/wc/Ef8a/yN/K78zPzl/QD9Jf1T/Xz9l/2s/cf95/4D/hj+Kv49/k/+Yf53/pT+tP7V/vb/F/83/1j/ev+b/7b/zP/kAAYALABRAG8AjACsAMwA6AD7AQsBHQE0AUgBWQFtAYkBqwHNAe8CEAIuAkoCawKUAr4C4wMIAzYDZwOOA6oDyAPuBBUENwRdBIkEuQToBRwFVgWRBcYF9QYfBj8GVQZpBoMGogbBBt4G+wcaBz0HZgeQB60Htwe6B8EHyAfCB7MHqQelB6EHmAeTB5IHjweJB4QHggd9B3IHZwdfB1gHTgdHB0IHOgctByAHGAcRBwYG+gbxBugG4AbcBt4G4gbhBuIG6gbzBvoHAgcSByIHJwclByUHKAclBxsHHQcqBzIHJAcFBuoG2wbOBrgGlQZtBkcGJAX/BdcFtQWgBZEFeQVPBRoE6ATDBKcEhgRdBDIEEwP+A9sDmANDAwgDBwMzA2oDiwN7AycClwH+AZsBhAGWAaMBpAGwAdUCAAIcAiYCJQIbAgYB6gHFAZUBVwEWANcAjgAs/63/Hv6K/fv9f/0g/NP8g/wp+9T7jvtM+wb6v/p9+jr59vnF+br5zvne+cn5hvko+NH4lvh0+Fr4Q/g/+E/4Y/hu+HD4b/hm+FP4Tfhj+I34tvje+Qv5Oflk+ZT5z/oF+jj6m/tV/Cv8r/y//Kj8sPy9/I/8KPvE+3j7Jfqz+jn52PmX+Wf5PvkW+PX43/jW+M34xfjM+O75F/kr+SX5CfjY+KD4kvjZ+Vv5vPm8+Wj47vhi98P3HfaP9iL1wvVS9M/0XfQq9Df0PvPq8yryS/Gb8Snw1PCM8F/wU/BR8EnwNvAV7+Lvnu9V7xLu1e6i7n/ua+5Z7kTuOO437jXuI+4I7fTt7u3v7fHt+O4I7hnuJO4p7jDuPu5P7ljuUu4/7iLuBe3s7dbtwu227bjtyO3W7dLtt+2U7XbtXO037P7su+x/7FDsJ+v768nrmOtr6z/rDOrU6p3qaOov6e/pqulj6RfoxOhs6Bvn1eeW51bnEubP5pLmV+YY5dPlj+VU5STk9eTC5InkU+Qk4/jjx+OO40/jEeLa4qzihuJf4izh6+Gm4WThIODS4HjgGd+6313fA9603nHeN93/3cTdhd1D3Qfc3dzC3K7cntya3Jfcbdv/22na79q52rHaptqG2mHaQtol2gbZ6NnR2cHZtNmt2a7ZsNmt2aLZj9l82XXZfdmU2bfZ6Noq2nnaxdsI203bqtwl3KjdDd1D3VPdUd1M3U3dXd2E3b7eB95k3tvfYt/o4Gbg4OFa4c3iO+Kv4ynjnOQH5HzlBuWV5hHmf+bv52Lnyegm6IzpAel66e3qaOr365fsN+zP7Vvt1+5K7sfvXPAA8KDxM/G88kDywfNL8+b0hPUD9Vj1ofYM9p33JPdm91X3H/cM91L38vjC+Yb6Fvp4+t/7ivyd/g7/pgEeAjACwALpAvEDFANjA80EPQSsBRQFbAWvBeMGGQZgBrwHJQeIB90ILAiKCPYJWwmpCewKOAqQCuULLwt5C8wMIgxtDKoM5A0hDWQNtQ4TDnMOxg8OD1oPqQ/xEC4QbhC7EQoRQxFhEXcRoxICEpYTOhO1E/UUHhRdFK8U8hUWFRcU5xSJFFYU0BYcF6oYrBjGGEgXwReOF7YYExhqGIQYSBfKFzcWvxZzFksWNRYzFlkWqBb/FzsXXReBF6oXwxe/F7AXpxefF3sXIxaVFfgVjxWNFegWZBbOFxgXRRdcF2wXhBeeF6MXoBfHGDcY1BluGfoafhrjGwQa5Rq2Gp0aoBq/GvkbMxtCGxoa3BqwGqIawhsnG8ccbRziHSUdSx1UHT8dLx1EHWMdVB0iHSAdgR4NHmMeZR5DHigeDB3iHbMdlB2RHakd3B4hHmAehx6aHqcetR7DHtIe4B7mHuge8x8UHzsfUR9PH0IfNB8bHvAeuR6IHmQeTB47HigeDR3wHdsdyR2fHUsc3hx8HC0b4huTG00bDxqvGgAZEhg8F9sX/RhbGJcYkRhvGGMYchh2GFgYJRf5F9kXsxd9FzwW/RbBFoMWQRX8FbsVghVNFRAUxxR4FDYUCBPnE8cTnhNnEyIS2hKgEnsSXBIuEesRpBFpET4RHBEBEOQQuxCDEE4QLxAgEAYP2A+oD4kPew9xD2APSA8qDwgO5w7HDp4OaQ4vDfMNsA1nDScNBAz0DOEMwAycDIAMagxTDDAL9gumC08LAgrGCp4KiwqICn4KZgpZCnAKjgp3Ch8JwwmfCacJqwmYCX8JaglOCSkJDQj/CO0IzAigCHIIQQgRB+8H4AfaB9IHygfFB74HrgeUB3gHYwdeB2QHYQc9BwYG3QbYBugG8wb4BvwG9gbcBsYG2QcSBzwHKwbkBpIGUwYzBjcGWAZ7BoMGcAZdBloGXAZWBkkGRAZEBjoGJAYPBgQGAwYGBgcGAwX8BfYF9AX0Be8F5gXjBegF7wXtBeIF1gXJBb4FtgW0BbcFuAW2BbEFrQWpBacFqQWvBbcFwQXMBdQF2AXXBdEFxAWzBaQFnQWhBaoFrwWpBZsFkAWRBZYFkgWCBXQFcwV8BYMFhAWABXcFZgVLBSsFDgT6BOoE2QTGBLIEnwSNBHkEYQRJBDQEHgQCA+ADwwOvA50DhwNqA00DMgMZAwEC6gLRArUClAJzAlMCNAIVAfcB3AHEAa0BkwF3AVsBPwEkAQYA4wC/AJ0AfABaADgAF//4/9n/uf+W/2//SP8h/v3+3/7D/qj+iP5l/kH+IP4D/eX9xf2h/Xr9V/0+/TL9K/0d/QP85fzI/Kz8jPxt/FL8N/wY+/b72PvA+6r7kvt6+2H7R/sp+wn66PrI+qr6kPp4+l76P/oh+gb57vnW+b75pfmN+Xj5aPle+VT5R/k4+Sj5GPkF+PL45Pja+M74vfit+KH4l/iJ+Hn4a/hf+FP4R/hB+ED4P/g7+Db4M/gy+DL4Mvg1+Dz4Q/hH+Ef4SfhQ+Fr4Zvhz+IL4j/iZ+KL4rPi4+MX40fje+Or48/j8+Qf5FPkf+Sf5Lvk2+T35RflR+V/5bfl3+X75hvmM+ZP5nvmr+bT5tvm4+b/5yfnQ+df54Pnn+er57vn2+gD6BfoJ+hD6Gvoi+ij6MPo6+kP6SfpR+lv6ZPpp+m/6dvp++oP6ifqQ+pf6n/qq+rX6vvrD+sn60/rd+uj68vr9+wf7Efsf+y77PPtL+137cvuE+5P7pvu9+9T76fwB/CL8Svxu/Ir8o/y9/Nz8+/0X/TD9S/1p/Yr9rP3N/e7+Ef44/mX+kf67/un/Hv9V/4b/tf/sACkAXQCHALkA9gEuAVsBkwHcAgsB8wGsAYUBtAIrArgDLgN4A7IEMAU/Br0IIwkGCWEJTAiiB0kFrgSMBD0EdAS2BOsFPgW6BjMGiwbUByQHdwe1B9UH3AfYB80HugecB3YHVgdCBzAHFAbsBsQGnwZ/BmUGVQZLBjkGEQXPBXUFDgSmBEkD+gO1A3wDUQMuAwoC2gKaAkcB5wF+AREApQA9/+H/lv9a/yP+5P6Z/kX98f2l/WL9I/zg/J/8Zfww+/j7uvt8+z369fqk+lr6JfoA+eX53vn2+iL6Qfo8+hT51vmL+UL5EvkB+Pj43/i8+KD4kviG+Hj4c/h2+Gz4QPf496/3f/dv93X3evdw91n3P/ch9vj2yPae9n72WfYo9fL1yPWy9a/1vPXQ9dv14vXy9gf1+vW59Wf1QvVb9ZD1yPYL9mX2vfbz9wT3BvcQ9y73Y/ew+AT4Wfi3+S/5tfol+mn6kvrD+wX7Ovs++xb67frs+w/7MPs2+y37LvtF+2n7kfu6++T8Dfw0/Fb8c/yN/Kj8xfzg/P39I/1S/X39m/2v/cT94f3+/hb+KP42/kX+WP5x/o/+r/7O/uz/B/8d/zL/TP9q/4f/oP+4/9T/9wAcADwAVwByAI4ApgC3AMMA0wDrAQMBGAEwAVABcgGRAa4BzQHrAgoCLwJdAosCsgLZAwkDPwNsA4sDqAPKA+sEDQQ1BGcEnATOBP8FMgVkBZQFxAXxBhQGLAZCBmAGhAapBswG7AcIByYHTAd6B50HrQe0B70Hwge3B6MHlgeVB5QHjQeHB4UHfwd2B3EHcwdxB2kHYQddB1gHTgdGB0IHPAcvByEHGAcQBwUG+AbvBukG4gbdBt4G4wblBugG7wb3BvsHAAcLBxcHHAceByIHJwckBx4HHwcrBzEHHwcABuQG0ga8BpYGZQY1Bg0F6QXEBZ8FgAVnBU8FMAUIBN0EswSOBG0ESgQiA/wD3wPHA54DWAMHAswCuwLPAvUDIAM7AyECwQI7AdIBrAGtAaYBigFzAXgBkAGoAb8B2gHvAfEB3AG0AX8BQwEKANYAlQAv/6T/Df58/fP9d/0S/MH8dfwg+877jPtV+xz63/ql+m76OvoT+gj6F/os+if59fmW+Sz42fio+If4avhc+Gv4iPia+Jv4kviC+G/4bPiG+K740vjz+R35Svlx+Zb5wvns+h76jftR/Br8c/xT/DD8W/yY/H78CfuT+0f7BPqj+jX52vmU+Vv5KvkA+Nz4wvi5+L74xfjO+OP4/vkR+Rz5IPkN+Nb4qPjK+UP5uPnJ+Wz44/hi9+X3WPbD9j71y/VX9NP0VvQN9AT0AfO28xLyUPGx8UDw6fCk8HvwbPBk8FXwO/AW7+Lvo+9g7x7u3e6n7obudO5i7lPuUe5a7lfuPe4b7gfuBO4G7gvuF+4q7jruQe5H7lHuYO5v7nnue+5w7lnuO+4e7gXt8u3n7ezt/O4G7fzt4u3E7artie1Z7R3s4+yw7ITsW+ww7ADrzuud62/rQusO6tXqmupg6ijp7+mw6WTpCuis6FjoEefQ543nS+cN5tPmluZU5g/lzeWS5V/lLOTx5LDkcuRB5Bjj7eO644HjR+MS4ubiv+KV4l7iHeHe4aXhZ+EZ4LzgWt/535rfRd783rredN4r3endr9173U7dLN0N3Ovcz9zJ3MXckdwU237bFtr12u/a2dqw2ozaddpf2kjaMdoc2gjZ+tn52gHaBtoB2fTZ4tnN2b/ZwdnW2fTaGtpN2o/a1tsZ22DbwtxM3OLdVt2H3YDdYd1I3UTdW92O3dPeI96C3vrfguAI4IHg9eFo4dPiNOKZ4wzjh+QA5IDlEOWk5ifmmOcB52Xnu+gO6HTo8Olr6drqUerk64zsM+zL7VTtzu5D7sTvXO//8JXxGPGP8gbyh/Mc88b0bfTu9UT1lPYO9rH3TPeg95j3Vvcd9yv3nvho+VX6Ifqo+wH7bvwv/Vr+zwBTAaAChAL4AyQDRQOFA+cEVQS4BQoFTQWKBcgGDAZbBrsHJQeHB9sIKQiBCOQJPwmICcoKFQpmCrQK+wtHC50L9QxDDIUMwAz+DUQNlw3zDlEOqg7+D04PmA/cEB4QYxCmENkQ/REgEVIRoBIQEpwTKROSE88T/hQ9FIgUyxT/FRoU+xScFFgUuBXlF1YYQhhKF7cXIBb0F0oX6hh5GKoYcBf4F3wXHBbXFpoWYBY9FlAWmxb1FzEXShdZF2kXbxdtF3UXhxeGF1MW9haXFl0WYxahFvMXLxdKF1MXVxdVF1YXZxd1F1cXDxbjFxEXixgiGMkZjRpJGrkaxhqlGpYaqhrUGv8bFxsGGtIaoRqTGrAbABuVHGYdQx33HnUevB6+Hn8eOh4dHhEd2h2FHWodtx4sHmgeXh5KHk0eUx5FHi0eHx4YHhceJR5GHmcedh56HooeqB7AHsoezB7THt8e7x8EHx0fLh80HzMfMx8xHyMfCB7kHr8enx6IHnUeWx45Hh0eDB31HcQdfh0vHNAcWBvSG2UbHhrSGkoZgRi0GDYYLRh6GM0Y5hjFGJwYkBiVGIMYURgaF/YX2BepF2UXHhbiFqwWchYxFfAVtRV+FUUVAhS5FHgUSRQkE/4T0BOcE2UTKhL0EsoSoxJpEhURvRF9EVgRQBElEQMQ2RCrEIQQaRBQECgP9A/KD7MPog+KD20PVQ9BDycPCQ7qDsYOlQ5XDhQNzw2LDU8NJQ0HDOwMzAyuDJIMfAxrDFkMMQvpC4sLNAryCsUKpwqPCnAKSQoxCkAKXgpWChoJ2gnECc8J0wnECbEJnwl/CVIJLAkVCP8I3Qi0CIkIWAgjB/oH5gfgB9sH1AfNB8YHtwefB4IHaAdbB18HZAdWBzcHGgcNBwgHAwcDBwoHCAbuBtEG2QcJBzcHOAcLBsgGgwZLBjUGRgZpBnsGcgZlBmYGbgZrBl4GUgZMBkIGMQYfBhkGIAYqBi4GJwYYBg0GCwYMBgQF9AXoBegF7QXuBekF4gXdBdYFzQXEBboFsQWpBaUFoQWdBZoFnAWhBacFrgW3BcAFwwW/BbsFuAWyBaQFmAWZBaQFqgWeBYYFdQV0BXkFcwVhBVAFTQVWBWIFaQVrBWYFWAVABSUFDAT6BOoE2ATEBLEEnwSNBHcEXQREBC4EFwP6A9kDuwOkA44DdgNbAz8DJAMKAvEC2wLGAqwCiwJmAkICHwH/AeIByAGxAZoBgQFlAUkBLwEXAPwA3QC6AJcAdgBWADYAF//6/9z/vv+d/3r/VP8v/wv+6v7O/rP+lP5v/kr+Jv4H/en9y/2o/YH9WP04/Sb9HP0O/Pj83vzD/Kj8ivxt/FT8PPwf+/773vvE+7D7m/uG+3H7XPtF+yj7B/rj+sL6pvqN+nL6VPo2+hz6Bfnw+dv5xfmt+ZT5gPl0+W35Y/lV+Uf5N/km+Rb5C/kC+Pf46PjZ+M34wfiz+KT4mPiM+H74cPho+Gf4Z/hk+F/4W/ha+Fv4W/hc+GH4Zvhq+Gv4b/h2+H/4iPiT+KD4rfi4+ML4zvjb+Of48vj++Qj5Efka+SX5Mvk++Uf5UflZ+V75Yvlt+Xz5ifmR+Zf5nvmk+an5svnA+cv5zvnQ+df54vno+ez58vn6+f/6A/oK+hL6GPob+iD6J/ot+jH6OfpE+kz6UfpW+l36Zvpr+nD6dPp6+oH6h/qN+pH6l/qf+qr6s/q5+r/6x/rP+tj64frr+vX7APsO+xz7Kfs5+0z7Yfty+4D7kPuk+7z70/vs/Af8JfxG/Gb8g/yf/Lv81/zx/Qn9Jf1G/Wj9iP2p/dD9+/4m/lH+ff6o/tT/Bv88/27/nf/RAAsAPQBoAJoA1wEQAUABeQG4Ac0BlQE7ARMBOgGPAfACXQLQA0kD+gUqBrsIEwivCJ8IOAeDBlgE5wPTA4wD4QRXBLYFFgWJBf4GYQa5BxAHYAehB9EH8ggBB/sH4Qe7B5gHhQeCB38HbgdOByMG8wbFBqUGkgaABmMGNQXzBZcFKAS4BFoEDQPIA4sDYANDAyEC7QKoAlkCAQGfATUAyABd//j/n/9T/xH+0f6P/kb99v2n/WT9Lfz9/Mv8l/xb/Bf70fuT+1v7HPrQ+oP6R/od+gb6D/o++nz6mfp8+jD5yvlf+Qb43Pjn+Qb5EfkF+PX46PjY+ML4sfif+HX4JPfC93P3TfdM92H3c/dw91f3NPcP9uT2s/aJ9m/2XfZB9hn18/Xa9dL11PXU9cT1rfWk9bH1t/Wa9Wr1VfVu9aH12PYa9nH20Pcc90j3WfdZ91v3dfez+Av4bvjb+Vb50/o3+nf6p/rk+zv7lvvM+8r7pPuI+5H7svvL+877x/vJ+9n77vwB/BP8K/xP/HX8jvyX/J78tPzZ/QP9KP1L/W39jP2l/bn9zf3k/fz+Ev4k/jb+TP5p/ov+qv7E/tn+6v72/wP/Gf83/1n/eP+U/6//zv/wABEALgBHAGEAegCNAJwAsADLAOkBBQEiAUMBYwF/AZwBvAHcAfoCHAJGAnMCmQK+AuwDIANPA3UDmgPCA+kEDgQ5BGwEnwTMBPQFGgU9BWMFjwW/BegGCQYpBk8GeAaeBsIG4Ab2BwkHKAdVB34HlQekB7MHugetB5QHhAeCB4MHfwd8B3sHdQdtB2kHawdpB2AHWQdZB1YHSwdBBzwHNgcqBx0HFQcOBwIG9QbuBuoG5gbhBuAG4gbkBucG7wb3Bv0HAwcNBxcHHgcjBysHMAcpByIHHQcjByIHDwbvBtIGtwaSBl4GJwX5BdcFuAWUBW4FSwUqBQYE4gS/BJ8EfQRaBDcEFgP0A9IDtAOXA20DLQLgAp4CdwJqAnkCogLYAvUC1wKFAisB8gHTAbABewFJAS8BLwFAAWMBmAHKAd4BywGdAWQBKgD4AMwAjgAi/47+9f5u/fP9e/0Q/Lz8c/wn+977pvt8+0/7GPrg+q/6hvpm+lb6Vfpd+lv6OPnn+Xv5HPjg+Ln4mfiJ+JX4r/i++Lr4r/ii+Jj4nvi4+Nj47/kI+TL5YfmB+Zn5t/na+gz6fvtA+/n8MPvy+9H8IvyI/Hb76ftX+wb6z/p++h75zPmJ+Uj5DPjb+LD4jfh++IT4kPiY+KP4tfjK+OL4+Pj1+Mj4mPix+SH5kPmX+TH4sfhU+Ar3n/cJ9mj12PVS9Mf0QvPn88TztPN78v/yX/HI8U7w8vC08JHwfvBq8FDwMvAJ79Pvle9W7xbu1+6o7pDuhe547m/udu6C7nvuXO4+7jbuPO4/7kDuRe5Q7ljuW+5i7nLuhu6U7p3uoO6Z7oTuZ+5N7jjuJ+4f7iTuMe437ivuF+4L7gTt7O247XntPu0I7M7skuxg7DfsDOvZ66XrdetF6w7qz+qR6lzqK+nz6ajpTujy6KHoWOgQ58jniOdP5xTm0OaI5kbmCuXR5ZflWuUY5Nbkm+Rs5EXkHOPu473jiuNW4yPi9eLH4pDiVuIh4e/hseFe4P7gnOA83+Hfj99I3v7eqd5W3hLd392z3Y7dcd1R3SndCN0B3Prcudww25zbR9s22zHbE9rn2sfas9qf2onaddpg2knaO9o/2kzaT9pD2jDaHNoJ2f3aA9oa2jbaUdp02qja6tsu23bb2dxi3PrdbN2V3YDdWd1E3U7deN263gfeV96y3yXfqeAr4J3hCuF44eHiP+Kc4wjjgeQC5IzlJuW/5kPmrucN52bntOgD6GXo3OlT6b7qNOrI63TsIOy77Ujtxe497r7vVO/w8Hrw6fFM8bfyOfLa85H0P/TC9Rv1ePYB9rD3Ufev9733l/do91v3k/gj+P757vq1+zv7ovwp/Pz+I/+CAOYCEALUAzQDXwOQA+IERgSjBOsFJwVkBaYF7gZABqQHEwd7B9EIIAh0CMoJGAldCaMJ7wo9CoUKzQscC3ILxQwRDFYMmAzeDSoNfQ3SDigOgg7fDzIPdQ+yD/kQRxCEEKEQtBDdES0RmhIWEpYTChNjE6UT5BQqFGoUmxTCFNcUuRRoFDMUjhWRFs8XpRfFF1oW1hapFwYXyhiDGM0YlxgoF8wXnBd5Fz0W3xaBFlgWehbFFwUXIxctFy8XMxdJF3wXrxeuF20XGBbqFvkXNheCF7oXxRelF3gXVhdKF1wXjBewF4cXBhZ8Fj8WWxazF04YRRlmGkIamRqZGpkavxr3GyAbKRsSGvQa7hsRG1YbvRxcHTYeJx7+H58f7x/XH2Ye5R6WHmYeFx2tHXYdmx3iHf4d7R3nHgIeIx41HkgeYh5uHmEeUh5XHmUeYx5XHlseeB6WHqEeoh6sHsEe2B7qHvwfDx8hHzIfQh9QH1YfUx9EHyUe/R7WHrIejx5pHkkeMx4dHfsdzR2aHU0c0BwoG4Ia/hqSGh4Zkxj+GIUYUhh5GNYZHhkaGOQYvBi3GLIYjBhSGCQYAxfYF5cXTxcQFtkWohZpFi4V8hW3FXoVORT2FLoUkBRuFEYUFRPkE7cTiRNUEx4S4xKWEjgR4BGpEZIRfxFeETERBBDcELwQoRCAEFAQHw/9D+wP1A+qD30PYQ9QDzkPGg77DtwOsQ5wDiMN2Q2bDWsNRA0gDP4M3wzCDJ8MewxiDFkMRQwMC7QLXgseCvIK0Qq3CpsKcApBCigKKAolCg8J+An1Cf4J+gnnCdYJxQmlCXYJSgkoCQgI4gi9CJoIbgg5CAoH8gfrB+cH3gfTB8oHvQerB48HagdGBzEHMgc8B0MHQgc5ByoHHQcaBx8HFwb3BtQGygbgBv0HCwcGBu0GvQaABlEGRwZaBmoGagZkBmkGcgZwBmAGUAZIBkUGQgY8BjwGRwZWBlsGUQZABjYGNAYyBiQGDAX3Be0F7QXwBfEF8AXsBeUF3AXOBboFpwWbBZoFmwWYBZMFkgWTBZMFlAWcBacFqQWmBakFtAW5Ba4FmwWTBZoFngWSBXsFaQVhBVwFUgVCBTMFLQUxBTsFRwVNBUwFQAUuBRkFBgT1BOQE0wTCBLEEoASLBHQEWwRDBCsEEQPzA9QDtwObA4EDZgNMAzEDFQL5AuICzgK8AqQChAJfAjkCFQH0AdYBvAGiAYgBbQFTAToBIwENAPUA2QC4AJYAdgBaAD0AHv/+/97/vv+c/3r/V/8y/w7+7P7P/rP+lP5w/kv+KP4K/e/90/2y/Y39Y/0+/SP9Ef0B/O381Py6/KD8hPxq/FX8Qfwo/Ar76vvP+7v7qPuV+4L7cPtd+0T7I/r++tv6v/qo+pD6dPpW+jn6IPoK+fj55fnP+bf5oPmS+Yn5gPl0+WX5VvlH+Tn5Lfkj+Rj5C/j++PP45/ja+M34wfi1+Kj4mviS+I/4j/iM+Ib4gPh/+IH4g/iF+Ij4jPiP+JL4l/if+Kf4rvi2+MD4zfjZ+OX48vj/+Qn5Evkb+SX5Lvk3+UL5TvlZ+WT5cfl7+X75f/mI+Zb5ofmm+a35uPnA+cP5yfnV+eL55/nq+fH5+vn/+gH6BvoO+hX6Gfoe+iX6Kfor+i/6NPo3+jn6P/pJ+lP6V/pb+mH6aPpu+nH6dPp3+n36hfqL+o/6kvqX+p36pfqr+rP6uvrB+sr60/rc+uX68fr/+wz7GPso+zz7UPth+3D7gPuQ+6T7vPvW++78Bvwj/ET8Yvx9/Jn8uPzT/On9BP0n/Ur9af2L/bf95v4R/jz+av6Y/sL+7/8i/1X/hP+z/+gAHABMAIQAxgEAASoBVQF+AXsBMQDTALAA2QEeAWwB4wKNA0sEHwU6BpAHpQgLB9sHdAbhBd8EggNlAxADcwQPBI8E8QVRBbkGJAaPBvMHRgeLB8kIAQglCCsIFAfuB80HwAfEB8cHvAegB3gHSAcaBvUG2Aa1BogGWAYeBcoFWwTqBIwEPgPuA6QDcANSAzEC/AK4AnACIgHHAV4A7wB+ABD/qf9Q/wL+v/5+/jj96v2f/WX9Qf0m/QD8y/yK/ED7+Pu5+4L7SPsE+r76hfpg+lX6b/qp+t763/qe+jH5s/k2+M/4nPip+Nb4+fkC+QH4/fjz+OH4y/ip+GX3/veU90v3MPc39073YPdc9z73Fvby9sz2nvZw9lb2TvZG9jL2GPYE9fn18/Xi9b31jPVp9WT1cPVv9V31UvVi9Yz1x/YT9nL23Pc+94n3s/e997v3yvf8+Er4qPkU+Yn59vpI+n/6r/rt+0L7pvv//C78LPwU/A38Ifw2/Db8I/wX/B78MfxA/Ez8ZfyS/MH80/zC/Kz8uvzy/TH9Wf1p/Xn9lf22/cr9z/3R/d799v4Q/in+Rf5n/oz+rP7D/tH+2v7g/ur+/v8c/z3/X/9+/5j/sP/L/+cAAwAbADIASgBhAHgAkwC0ANgA+wEcAT0BWwF3AZgBvQHiAgICIgJIAnIClwK4At4DCQMzA1sDhgO3A+YEEwRABHIEowTOBPYFGgU8BV4FhwW2BeAGAwYmBk0GcwaUBrQG0AbkBvQHEQc+B2oHhQeUB6QHrAegB4YHdAdwB3AHbwdvB3MHcgdtB2oHaQdjB1YHTAdKB0cHPQc0By8HKgcfBxQHDwcLBwEG9wbyBvEG7wbrBugG5gbkBuQG6wb1Bv8HCwcZByUHLAczBzoHPAcxBx4HEAcJBv0G5AbDBqIGgAZUBiAF7gXJBa8FkQVpBTwFEgTrBMUEoASABGUERgQkBAMD5gPJA6oDiwNvA0wDGwLYApACTgIgAhECKQJhAqACvwKqAm4CKgHxAbgBdwE4AQwA/AEGAS4BbwGsAcUBsAF9AUIBDADeALYAewAR/4H+8v56/g39m/0v/Nv8mPxU/BL74/vE+6D7avsu+vr60vq0+pz6iPp5+mz6UvoY+cD5afkr+QT45PjP+ND42/je+Nb4zPjG+MT4zfjj+Pj5BPkY+UP5c/mO+Z75uPna+gj6bPsa+7/75/ui+4v79Pxv/F37vPsX+sP6lfpQ+fv5tfl5+TT47viz+IL4Vvg9+Dr4P/g/+EP4Vvhz+I74ovik+I74f/in+QL5Rvku+Mv4a/g8+Bn3yPc89pH16PVG9Kr0HfO584nzdfNP8vjydfHh8Vvw+fC+8J/whfBn8EbwI+/177vvgO9K7xTu3+667qzup+6b7pPumO6h7pTude5i7mnueu6A7n3ufe5/7nvud+6A7pXuq+637rzuuu6w7pvuhO517m3uY+5b7lzuZe5o7l7uWu5u7ozuj+5n7ift5e2c7UHs4OyW7G3sTOwe6+Trqut16z3q/uq+6ojqWOoi6drphuk06OnonuhN6ADnxOeP51DnA+a35nrmReYK5cjlhOVD5Qnk1+St5IPkV+Qq4//j0OOW41njIuLx4r/ijuJh4jLh8eGc4T3g4OCD4Cnf19+K3zfe3d6M3lHeIt303czdsd2U3W7dT91I3Tvc7NxY28jbgtt923nbVdsp2w7a/Nrl2s3au9qp2pLagNqB2ovaiNp12lzaSdo/2kLaVtpz2oraltqm2szbB9tL25bb99x43QTdbN2N3XjdW91Z3Xvdtt3+3krelt7p31Tf0+BT4MThLuGa4gHiW+Kv4xLjh+QM5KHlReXl5mjmzOch53PnvegF6Frowukx6Z7qGOqs61Lr9uyR7SPtqu4m7qTvMu/G8Ejwr/EK8XHx9vKc81X0A/SI9Oz1WvXy9qj3R/em98f3y/fI98X30fgO+J75fvp1+0P71PxE/M/9pv7VADgBigKFAxEDUQOCA8gEIAR3BMIFBwVLBYoFxgYPBnMG6gdcB7sIEwhqCLoI+wk4CYAJ0wojCmwKtgsFC1ELlwvaDB8MZgywDQENVg2nDfcOUA6yDwoPSQ+DD84QJRBlEH4QihC0EQkRehHzEmoS1hMxE30TxBQGFDgUVBRgFFYUJhPdE8MUIxT+FgMWzhckFwcWqxZyFroXhhhlGNIYqRg6F+cXzhfIF5gXKRahFkcWRxaLFtcXBBcOFwYXCBcvF3oXtxewF3EXOhc7F2MXkhe9F94X3herF1gXExb6FxoXZRemF5MXFxZvFe0VrBWuFhkXGhh+GbkaZBqVGqka0hsFGyUbLxs3G1gboRwFHGoczh1PHgge5B+2IFAgjCBSH78fJB7DHosePx3WHY4dix2qHbcdtB3GHe8eEh4nHkEeZB50HmEeRh5EHlIeUB43HiUeLh5FHlMeVx5jHn0emx63Hs8e6x8LHy0fTR9kH3IfeR92H2UfRB8cHvse3R69Hpsedx5MHhcd5B27HYYdHxx+G78bBhpkGdoZbBkRGLcYaxhdGKIZBBkzGRkY7RjfGN4YxhiTGGAYNxgLF9MXlRdXFxkW3RalFnEWOBX4FbYVdBUyFPoU0xS1FI4UWBQjE/oT1BOhE14TDRKxElUSDxHvEeUR0RGjEWcRMBEFEOIQwxChEHgQTxAzECAQAQ/PD5wPeg9lD0wPLA8NDvEOyA6GDjIN4g2nDYANYQ0+DRkM+AzaDLIMgwxhDFQMRAwUC8oLgwtOCyULBArzCuoKzAqNCkoKJAobCh0KHwojCiAKDwn2CeQJ1gm8CZIJZwlACRYI6QjBCKEIewhLCB4IBgf9B/MH4wfSB8MHtwepB5QHbQc6Bw8HBQceB0IHVQdQBz8HOAc8BzsHJQb+BtwGzAbMBtMG4wb6BwMG5waqBm4GUgZWBmEGZQZkBmgGcAZvBmEGTQZCBkQGTAZSBlkGaAZ5BoEGegZuBmkGZwZfBksGLwYWBgUF/QX+BgEF/wX1BegF3gXSBbwFogWRBY8FkwWUBZEFjwWLBYIFewV+BYgFjgWPBZkFrQW5Ba4FlQWFBYQFhwWDBXgFagVaBUcFNQUpBSAFFwUTBRkFJgUyBTMFKAUWBQUE9gToBNgEyQS8BK4EnASFBG8EWwRGBCwEDgPvA9IDtAOWA3kDXgNDAyUDBwLtAtoCyQK1ApwCfgJcAjgCEwHxAdIBtgGYAXkBXQFEAS4BGgEGAO4A0gCwAI8AcQBXAD0AHv/9/9r/t/+V/3P/Uf8u/wr+6P7K/q7+j/5s/kj+KP4N/fX92/2//Z/9ev1U/TH9Ff0A/Ov80vy1/Jr8gvxt/Fv8Sfwz/Bf7+fve+8n7tfuh+477ffts+1b7OPsW+vX62/rH+rL6mPp7+lz6Qfop+hb6Bfnz+d75yfm4+a35o/mW+Yf5d/lo+Vr5TflA+TP5Jvka+RD5B/j8+O/44vjW+Mv4wvi7+Lf4tvi0+K74p/ij+KX4qfis+K74svi1+Lr4wPjJ+ND41vjb+OP47vj6+Qf5FPkh+Sr5Mfk5+UP5S/lU+V75aflz+X/5jfmY+Zv5nPmj+a/5t/m8+cb51Pnf+eL55fnv+fz6A/oH+g36E/oV+hb6G/oi+in6Lfow+jT6N/o4+jz6QPpB+kH6Q/pL+lP6Wfpd+mP6avpw+nT6dfp3+nv6gPqF+on6jfqQ+pT6mPqe+qX6rPqz+rz6xfrP+tn65frz+v/7C/sb+y37PftN+177cPuA+4/7pPu++9X77PwI/Cn8R/xg/H38n/y9/NL86v0N/TH9T/1x/Z39zP32/iH+Vf6I/rL+2f8J/z3/a/+X/8sAAgA4AHMAtgDsAQoBHgEyASMA2ACBAHEAtwEeAYgCFgLeA74EmAWABncHLwdjBzMG6gaABagEbwNnAxYDcQQCBHMEwgUMBWcF1gZOBr4HGQdmB7IH/Qg3CFAIRwgmCAUH9wf6B/wH8QfYB7cHkAdnBz8HFQbgBqcGdwZIBf8FlQUnBMwEfAQiA8oDiwNpA0gDFALUApMCTAHzAYgBFQCdACb/tv9S/vv+rP5h/hf9zf2P/W39ZP1a/Tj8/vy+/IH8RfwI+8v7kPtW+yH69PrV+tH67Psa+y77A/qY+hH5jPkR+Kn4avhj+IT4qPi8+Mb4zfjN+Mb4tviS+Ez36veL90/3Ofc990v3VfdL9yr3Avbi9sL2lPZd9jj2L/Yy9i72JPYc9hj2DvX19cf1jvVd9Ub1SPVP9Uz1SPVU9Xj1tvYK9m/23/dN96f33/fy9/b4CPg3+H341Pk9+a76DfpL+nX6pPrk+zT7kvv4/Ez8dPxy/Gb8Zvxp/Fr8Ovwn/DT8Wfx//J78wvz0/Rz9Gvzt/MX81v0l/X39qv2q/aT9t/3a/e394f3J/cP92P38/iD+Qv5n/oz+rP7D/s7+0f7T/tv+7v8I/yX/RP9k/3//k/+n/7//2f/wAAQAGwA2AFMAcwCXAL4A5QEHASgBRgFmAYwBuQHiAgQCIwJHAm8CkwKyAtQC+gMiA0wDfAOxA+UEEgQ/BGwEmgTGBPIFHgVGBWwFlQXABeYGBwYnBkkGaAaDBqAGvgbXBu0HDgc9B2cHfQeHB5AHlgeOB3sHbQdoB2YHZAdlB2kHawdoB2YHYwdZB0gHOwc0BzAHKQcmByQHHwcUBwoHBwcFBwAG+wb5BvkG+Ab1BvEG6wbkBuIG6Qb2BwMHEwckBzIHOAc7Bz8HPgcxBwgG9AbhBskGqgaIBmYGQwYdBfIFyQWnBYgFYwUzBQEE1wS1BJUEcwRSBDEEEAPwA9QDvAOhA4EDZANNAzkDGwLpAqACTAIBAdIBzQHxAjICdAKRAnsCQgIBAcEBewE4AQkA+QEFASkBXgGNAZwBgQFPARsA6wC/AJQAWP/5/3//Cv6q/k394v14/ST84vyg/GL8NfwY+/L7uPt2+zr7C/ro+sr6qfqF+mj6Ufoy+f35wPmO+Wj5Q/kh+Qz5A/j8+PT47vjo+OH45vj4+Qn5EPkh+Ur5dvmN+Zr5uPnd+gH6S/re+3f7ovtf+z/7m/wQ/AH7a/rS+or6Z/os+eL5pvlx+Sz44fih+G34Pfgc+A/4Cff/+AP4I/hS+HP4e/h0+HH4hvi9+Pr5CfjR+Hf4NPgX9/r3tPc99qH17/U19IXz9fOV82XzU/M88v/yj/H/8XHxB/DI8KPwgvBf8D7wGO/l76nvde9N7ybu++7d7tTu0O7B7rPusO6w7qHuie6B7o/uoO6k7qPupu6k7pvulO6e7rPuxu7O7tDuze7A7qzun+6f7qPun+6T7o7ulO6a7p7use7j7yHvQO8o7uzupe5O7dftT+zh7KXsh+xh7Cfr5Oul62jrKOrp6rLqf+pH6gPpuOlw6Sno2+iF6DnoAOfN54rnOObr5rLmf+ZB5fvlueWA5U7lIeT15MfkluRo5D3kDOPM44fjSuMZ4uziwOKW4mfiJ+HV4XzhI+DH4GvgFd/E327fGd7T3qDeb9453g7d+t3q3crdq92d3YHdItyF2/rbwdvE27/bmttw21rbSNsu2xXbCNr82uba0drK2szaxNqs2pLag9qI2qDaxNri2uva49rg2vvbM9t7283cMNyq3SndhN2i3ZLdgd2Q3b/d/N4/3oHext8V33zf+uB74PDhWuHC4iPidOLC4x/jlOQe5LnlY+YH5ozm6+c3537nwOf/6EbooekN6YLqA+qS6ynrv+xU7Oztfu4D7n3u/u+H8AjwdvDc8U3x2PJ88yvzy/RQ9MT1RvXq9p73NveV98j38vgk+Ej4SPg9+Gn5Afn1+vf7vfw2/Jv9PP5F/5sA8wIFArkDKQN9A8wEGQRfBKcE9gVEBYEFsAXrBkoGxAc8B6QIBghnCLgI8AkjCWcJvQoSCl4KqAryCzMLawumC+gMLAxyDMENFw1rDbsOFA56DtYPGw9YD6gQBBBOEHQQjBCzEPURSxGyEicSmhL9E0sTixO/E+ET7RPgE7UTbBMsEzATmxRVFSgV5hZvFpoWZRYgFkgXCRf+GI8YgBgVF7wXoReiF3sXDBZ6FhcWFhZmFsIW9hb8FusW5xcLF0kXbhdaFy8XLBdXF3oXexd7F5gXrxeJFyoWzhalFrgW8BcmFygW4BZqFe8VhhVJFX0WYBfKGS0aERpyGpYarhrBGs0a4xsfG44cKBzJHUYdmx3zHn0fOR/6IIYgtCB6H/0fhR9AHxce0x5pHgkd2R3QHdMd5h4UHkseah5oHmEeZR5iHkgeJh4ZHh0eFR30HdEdxR3PHd4d7R4CHiMeSx5yHpgevR7lHxEfPR9hH3YfgB+CH3ofZx9RH0EfNR8gHv4e0R6XHlMeEx3hHawdUBzCHBIbURqGGccZQBj/GNYYmBhbGF4YqRj9GSAZGRkLGQQY9BjUGKwYfxhLGBQX3xemF2MXHhbmFrYWgBY9FfcVsxVxFTcVDhTvFMUUhxRIFBwT/RPSE4sTMRLTEoUSWBJJEj8SHBHcEZURWREqEQEQ3xDCEKYQiBBqEEsQJQ/2D8cPow+ID20PTw8zDxQO6A6mDlUOBA3GDaANhg1pDUQNHgz5DM4MoAx7DGQMSAwVC9cLowt8C1MLMAspCzkLMQrxCpYKUwo9CkEKSApKCj8KJAoFCfAJ5AnRCa8JhwlfCTAI+wjKCKIIfAhSCC0IFggJB/cH4AfIB7YHpgeZB4sHcAdCBxYHCwcrB1YHZQdRBzkHOgdLB0sHKwcEBu8G6QbeBtIG2Qb1BwYG6garBnAGVQZZBmYGbQZwBnMGeQZ7BnAGWgZIBkYGTgZYBmMGdgaNBpsGmgaVBpYGlQaJBnIGWQZBBigGFgYRBhUGEAX9BecF2gXQBbsFnQWFBX4FgQWJBZEFmAWVBYQFcAVoBW0FcwV4BYQFlwWiBZkFggVvBWcFZwVrBW8FawVVBTUFHQUVBREFBwT7BPkFBwUXBRwFEQT+BOwE3wTTBMcEvASxBKMEkAR6BGUEVQRCBCgECQPsA9EDtAOWA3kDXwNBAx8C/gLmAtYCxgKwApQCdwJYAjYCEgHvAdABswGVAXUBVgE8ASYBEgD9AOQAxgCkAIIAZABJAC4AEP/w/8//rf+L/2v/Sv8o/wX+4/7F/qn+i/5p/kb+Jv4N/ff94f3J/bD9lP1y/Uv9KP0M/PX82fy5/Jv8hPxz/GP8Ufw7/CH8A/vn+8/7ufui+437fPts+1r7Qfsl+wv69frk+tH6ufqc+n/6ZPpM+jb6JfoV+gX58/nh+dP5yPm7+az5m/mM+X35b/lf+U35Pfkx+Sn5I/ka+Qz4/fjw+On45fjh+N342vjZ+NX4z/jK+Mn4zfjQ+NL41vjb+OD45vju+PX4+/j/+Qb5EPka+Sb5M/lA+Un5Uvlb+WX5bPly+Xv5hvmR+Z35qvm1+br5vvnE+c751PnZ+eP58vn++gP6BfoN+hj6IPol+ir6Lvow+jH6NPo6+j76QPpD+kb6R/pH+kn6TPpN+kz6TPpQ+lT6WPpd+mL6afpv+nT6d/p5+nr6fPp++oH6hvqM+pH6lPqZ+p/6o/qo+q/6uvrF+tD63Pro+vP6//sO+x/7LPs3+0j7Xvtx+4D7kfuo+7771fvy/BL8LvxF/GP8iPyn/Lr80fz0/Rr9Of1Z/YT9sv3b/gf+Pv50/p3+wv7x/yb/VP+A/7f/8wAoAFsAlQDFANgA3gDoANoAlABBAEYAyQGIAj4C8AO8BJYFXQYPBqkHAQb6BrkGdQYaBWkEdAOxA34DwAQZBFcEigTMBSUFkQYHBnkG3Qc3B5EH6QgwCFoIYQhLCCwIGwgaCBsIEAf8B+QHxQedB28HOwcABscGmgZvBioFxgVdBQYEtwRcA/8DvAOVA3ADOwMAAsQCfgIiAbQBOwC7ADr/wf9V/vP+lf49/e79rv2H/YP9lP2Y/XX9OP0E/OX8xvyU/FD8EPvg+7v7lvtw+1f7V/tg+0j68vpo+dT5Vfjs+JD4S/gs+DL4Sfhh+HT4gfiE+H74cfhX+CP32feT92f3VPdR91X3VvdJ9yn3BPbn9sf2kvZP9h72EPYY9iH2J/Yw9jf2LvYO9dz1pPVx9U71QfVB9Ub1TvVg9YX1wvYT9nT23/dJ96L31/fp9/L4DfhC+Iv45flT+cf6HfpH+mD6jvra+zD7ifvr/Ev8jfyh/Jn8kfyJ/HD8R/ws/Dz8c/yz/Oj9Ef0y/Tv9G/zh/L/84/1H/bD94v3Z/cL9x/3j/fL93f23/ab9u/3o/hf+P/5j/oT+of62/sD+wP69/sL+0f7n/wD/Hf8//17/df+H/5//u//V/+sAAgAeADsAWgB8AKMAyQDsAQ0BLgFUAYABrwHYAfgCFQI2AloCfQKfAsUC8QMgA1IDiAO/A/IEHARCBGkEkAS4BOQFEgU9BWUFjgW3Bd0F/gYdBj0GWQZzBpEGsgbPBuoHDQc5B14HcQd3B30HgweAB3UHbQdpB2UHXwddB14HXQdZB1UHUAdGBzgHLAckBx4HHAceByEHHAcRBwcHAgb/BvwG+gb7BvoG+Ab2BvIG6gbiBuMG7gb8BwgHFQckBy4HMActBywHKAccBuYG0ga4BpoGeQZXBjYGFwX4BdYFrwWEBVYFJQTyBMMEoQSJBHIEVAQuBAUD3wPBA6wDmAN9A10DQgMxAycDGgL6Ar0CZwINAccBowGmAdACEQJHAlcCPwISAdUBiAE7AQ8BDwEpAUQBXAFqAWUBRwEeAPcAzwChAGoAKP/X/3//M/71/qr+Rv3Z/X79NPzu/K78gPxc/Cv76Puf+1/7KvsB+t76ufqM+mT6TvpD+jD6Evnx+c/5oPlo+Tr5Ifka+Rr5FvkG+PL47/kC+Rb5HPko+Un5b/mB+Y/5sfna+fP6Jfqi+zz7dPsu+uT7Bfta+1z69vqM+l/6Svob+d75rPl4+TH45vir+Hr4Svgj+BD4BPf4+AL4Nfh9+Kn4pviM+Ib4qPji+Qr4+vi0+F34GPfn97X3cvcS9ov12vUX9Gbz3/OH81jzRPMy8wDym/IR8YbxGvDS8KHwd/BU8DfwFe/i76jvfO9e7z7vGO797vfu9e7m7tHuxO697rPuqu6s7rTutu6x7rPuuu667rHur+697s7u2O7e7uXu5+7c7svuxu7P7tru2e7M7sPuyO7a7vfvJO9l76Xvwu+r73TvNO7k7mvt0O1A7OXsuuyY7GXsIuvb65frVesW6tzqpupu6jDp7umr6WTpE+i/6HfoQegM58fndecs5vPmvOZ65jfl/OXI5ZXlY+Uz5QTk0uSh5HLkPOP647TjeONH4xvi8OLG4pjiXOIR4b/hZuEG4KbgTt/+363fX98e3ujerd5x3lDeU95X3j/eGN333cPdUdyu3Crb/NwD2/7b2tu126Hbj9t021zbVNtO2zzbJ9sd2xrbENr42t7a1Nrk2wzbONtO20PbKNsd2zjbeNvM3Cjcjd0A3XLdxN3f3dHdxN3T3f3eMd5k3pve3d8w35zgHeCg4RbhfOHb4jHifOLI4ynjpOQz5M7ldeYX5prm9ec253Dnqufj6CjohOj06W/p7+p16v3rh+wa7LrtW+3q7mDu0O9J78rwRvC+8T7x0/J18xLznfQb9Jz1MvXc9on3G/eB98j4Efhs+Lr4y/ic+HP4rvlu+nf7Yfvz/E/80P2x/uQAJgE/AiMC4AN9A/EEOgRqBKEE7gVFBYoFuQXtBkMGtwcpB44H8ghYCK8I6AkVCVUJqAn6CkIKiArNCwoLQAt5C7kL+Qw2DH0Mzw0kDXUNzA4tDooO1g8dD3IP0xAoEGYQlBC/EOsRJRF8EfESaxLMEw8TQBNoE4ATfxNcExgSyBKfEsgTRRPsFJoVRhXbFiUWBRW9FcsWaxdSF/MYCBfAF3gXXxdaFywWtxYlFcwV4BZBFqMW0xbVFscWxhbfFwAXBBbmFtMW+Rc7F1IXLxcZF0AXdRdqFxsWyRaiFpgWkBaCFm4WUBYgFdkVfhU0FUgV+xc0GIAZdBn0GiMaJhoaGh4aUBq8G1ocFRzFHUMdhx2/Hice0B+OICIgZCBZICkgBB/5H+Yfph85HsUeax4yHhweMR5zHsIe7R7iHrgekx54HlYeIh3nHbcdkh1vHUwdMx0tHTwdXh2QHckd/x4vHlweiB6yHt4fDh8+H2MfeR+DH4QffR91H28fZh9PHy0fBx7bHqUeah4zHfAdiBz5HFgboBq4GbIY5xihGL0YyxiVGFYYXxizGRAZQhlEGTIZIxkaGQwY5BiiGF0YIRfnF6QXXxcoFv0WyRaFFjwV9xW1FXkVSxUmFPUUsBRoFDYUGhP3E7oTZxMVEtoSvBKsEpASVRIGEbsRgxFXES4RChDyEOAQyBCkEHkQSxAeD/QPzg+uD5UPgA9nD0MPEQ7TDowOQQ3/DdINuQ2iDX8NTw0cDOsMvgyZDHgMTgwWC98LuAuXC24LSwtOC28LdwtACuEKkQpsCmUKaApsCmcKTQomCggJ+gnrCcwJowl6CUwJFQjaCKYIewhVCDYIHwgLB/IH2AfDB7IHoQeQB4IHcAdQBy8HLAdPB3YHcgdCBxgHGQc0BzkHHwcIBwwHFQcDBuMG2gbsBvEGygaJBlsGUQZeBm8GegaABoMGiAaNBoYGcgZdBlUGWAZcBmQGeQaVBqcGqgaqBq8GrwajBo4GeQZhBkAGIwYYBh0GGwYFBekF1QXHBbAFkQV1BWYFZgVzBYoFogWoBZQFdAVeBVgFXAVgBWYFcQV4BXUFagVcBU8FSAVNBVgFWgVGBSMFCwUFBQUE+QTlBNoE4QTxBPwE9wTnBNQExgS9BLQEqQSdBI0EeQRiBE4EPgQsBBQD+gPiA8wDswOYA30DYgNAAxgC8wLZAsoCuQKiAocCawJPAi8CCwHpAcsBsQGVAXYBVwE6ASIBDAD2AN0AvwCeAHwAXAA9AB8AAf/k/8b/pv+G/2b/Rv8l/wH+4P7B/qb+if5p/kX+JP4J/fT94f3N/bn9pP2J/WT9Pf0e/QT85vzD/KP8i/x7/Gr8V/xB/Cf8Cvvt+9D7tfub+4X7c/tl+1T7QPsr+xn7Cvr7+uj60Pq1+pz6hfpv+lj6RPoz+iX6FfoF+fb56vne+c/5v/mx+aT5lfmD+W75W/lM+UT5P/k3+Sn5F/kK+QX5BPkB+P34+vj6+Pn49Pjw+PD48vj1+Pj4/PkB+Qb5CvkQ+Rb5HPki+Sn5Mfk6+UT5Ufld+Wj5cvl9+Yj5j/mU+Zz5qPm1+cD5y/nV+d755fnt+fX5+vn/+gf6Efob+iH6Jvot+jT6Ovo/+kX6SvpN+lD6UvpU+lX6VfpX+ln6W/pb+lv6W/pb+lz6Xfpd+lz6XPpd+mD6ZPpp+m76c/p3+nv6fPp7+nv6gfqJ+pD6lPqZ+p76oPqh+qf6svq++sf60frb+uX68PsB+xP7Hvsm+zT7S/ti+3P7hPuY+6z7wvvd+/38GPwu/Ev8cPyO/KL8ufze/Qb9Jf1G/XL9of3K/fX+Kv5e/oP+qP7b/xL/P/9r/6f/5gASADYAZACSAKgArwC5AKwAYQAIAB8A6AIWAy0ECATLBYoGMQavBvkG+wa2BlIF+QWYBQgEXAPpA9gD+wQZBC8EXQSrBQoFbAXSBjwGpQcNB3MHzQgUCEUIWwhUCDwIKgglCCUIHwgVCAcH6we9B4QHTgccBvIGzQahBlsF+AWTBT4E8ASZBEQEAwPVA6cDcAM4Av8CuAJaAegBaQDeAFD/y/9V/ur+g/4m/dr9pv2R/aL9xv3U/bP9ef1W/Vb9Wv04/PL8q/x9/F78Nfv3+7X7gftW+xX6qPob+Y/5H/jI+H34OPgH9/b4A/gh+D/4TPhD+C74GPgD9+P3ufeP93P3Zfdf91z3WfdN9zL3E/b09s32jfZB9gv2APYS9ib2OPZM9lz2UvYo9ev1rvV89Vf1RPVE9VL1Z/WD9an14fYp9n322vc294P3s/fG99X3+fg4+In47Plk+dv6K/pF+lL6gfrb+z/7mPvu/Eb8jPyt/LH8sPyw/J38c/xO/FH8gfzE/Pz9HP0f/QP8z/ye/Jf80v08/Z/9z/3I/a39pv25/cf9uP2Z/Yv9pP3X/gz+OP5a/nb+jP6d/qb+pv6i/qT+sf7F/tz+9/8b/z//Wv9w/4n/qf/H/+D/+QATACsAQwBhAIcArwDSAPQBGgFHAXYBpAHIAeUB/wIdAj8CYwKJArcC6wMjA1wDlAPMA/wEJARGBGkEjASxBNgFAgUrBVMFewWmBc0F7wYQBjAGTgZqBogGpgbCBt0G/gclB0cHWwdoB3MHegd5B3EHawdmB2AHWAdSB08HSwdGB0AHOgcyByoHJAceBxkHGAccBx4HGQcQBwgHAQb6BvUG9Ab1BvIG7gbsBuoG5AbfBuYG9wcEBwkHDQcUBxkHFQcNBwYHAAb2BsUGtQacBnsGWQY3BhUF9QXXBbYFigVSBRgE4wS1BI8EcgRfBEsELwQJA94DuAOdA4sDeANeA0ADKQMbAxIDCwL8AtQCkAI8Ae8BuAGbAZ0BvQHtAhUCKQIjAfcBoQFEARcBKAFTAWkBZAFSATsBHQD+AOIAwQCQAE0AA/+8/4T/Yf9E/w3+q/42/cv9cv0k/Ob8ufyP/FD8Afu4+337Svsc+vX6z/qj+nf6X/pa+lj6Tfo8+h355fmc+V35QPlA+Uj5Qvkm+Qb4//kV+Sz5Mfk2+U75bfl7+Yn5r/na+ez6DPp6+xj7Y/sX+pj6bPqW+rD6jPpZ+kP6NvoX+e75wfmC+TD45/i5+JP4ZPg4+CH4F/gT+Cf4aPi++O/44/i4+KL4u/jx+Rf5C/jI+Gf4BPew9273NPbj9l31p/Tu9Ffz5vOP80/zLPMU8uTyh/IJ8YvxJvDb8J7wa/BH8C/wFO/p77bvje9w71DvLe8Z7xvvHu8R7vfu4O7U7tLu2+7m7uPu0u7E7sbuzu7L7sXuze7h7u3u8O747wjvEO8F7vfu9+8F7xPvF+8R7wjvCe8k71vvou/j8AnwCO/i763ve+9C7uHuUO2x7Tbs7+zF7JjsW+wU68zriOtH6wnq0OqY6mHqJunl6ZvpTOj+6L3ohuhM6AXnued15zrm++a25nXmP+YK5c7llOVk5TnlCuTV5J/kZuQo4+njseN/41HjJuL+4tPim+JV4gXhquFF4OHgi+A/3/Pfp99h3x7e2d6i3pjett7O3rreh95O3gDde9zX3F3cN9w+3DfcFdv02+Lb0Nu226HbmtuW24nbedtx22/bZNtK2y7bI9s322Hbh9uQ23jbWttY24Tb1Nwz3JTc9N1a3b7eBt4c3gzd+d4C3iPeS95z3qTe6N9G373gQ+DG4TThj+Hg4ividOLG4y/jseRA5Nblc+YK5obm2ucT50Xnfue/6BDodujs6WTp2upS6tLrWuvx7JrtSO3h7lXutO8a75XwFvCW8R/xvfJj8vTzafPb9GT1CPW09lb25fdc97/4IviR+PT5Gvjt+J34kPkJ+fL66PuY+//8Zv0R/gf/HgAyAUECSgM0A94EPQRtBJkE3wU5BYwFxwX8BkkGsQcaB3QHzQguCIkIzAkCCUIJjwnYChYKVQqbCt4LGAtQC40LywwHDEkMlAziDS4Nfg3WDi0OfA7MDygPjQ/rEDsQfhCwENcRCxFiEdkSShKaEssS9BMcEzETIBLmEpgSWhJZEqgTNxPbFH0VFhWVFc8VsRVyFXIV4xaTFyQXXhdUFz0XOBcwFvEWaRXMFXoVnRYGFmEWiRaPFpQWpBa8Fs0WxharFqMWyxcCFwgW3hbJFvMXLhcyFwMW2RbOFrcWbBX/FaMVcxVhFUsVHhT0FQwVlxaKF50YgxkRGUUZPRkvGVQZvhpRGuobfBv+HF0cjxy1HQUdmx5UHvEfTB90H5MfwB/qH/IfyR99HyQeyx56HkceUB6cHwofXB9mHzIe8h7GHpkeQx3DHUUc9BzQHLgclhx2HHUcpBz4HVIdmh3QHgQeOx5uHpoeyB7+HzMfXR96H4wflB+TH4gfch9SHzEfFx7+Htoerx6DHkcd1x0xHHQboRqNGTwYHhfBGCgYuBjeGJ0YbBibGQwZahmFGXAZXhlmGXEZVhkMGLEYYhgeF9oXmhdrF0YXFhbSFocWQBX+FcEVjxVlFTEU6hSfFGcUQxQgE+sTpxNnEzwTIRMFEtMShhItEeMRrhGIEWQRQREkEQ8Q+BDVEKcQdhBHEBwP8g/QD7oPrQ+YD3APOw8DDsYOgQ48DggN7g3bDbgNfw0/DQQM1AyrDIQMVAweC/ALzgutC4ILYwtoC4cLjQtcCw0KyQqfCogKgQqLCpQKfQpMCh8KCwn9Cd4JsgmHCV4JLAjwCLUIhQhfCEEIKQgQB/YH3gfPB8QHtAegB4wHdgdWBzoHOwdjB4gHeAc0BvYG6wcEBxEHCgcRBzIHRgcpBvQG2QbcBtMGogZoBkwGVAZnBnQGfwaHBosGjwaTBpEGhQZ3BnEGcAZrBmoGegaYBqwGrgasBrIGtgatBpkGgwZoBkQGIQYRBhUGFgYGBeoF0AW5BaEFhwVuBVsFUwVcBXgFmgWoBZgFdAVUBUYFRgVIBUgFSQVMBVEFUwVMBTwFLgUsBTcFPAUtBRIE/wT8BPwE7wTWBL8EtwS/BM0E1ATOBL4ErwSlBJsEjQR7BGcEUwQ8BCcEFQQDA/AD3APMA7wDqAOSA3kDXAM2AwgC3wLBAq8CnQKJAnECWAI9Ah4B/QHeAcMBrAGTAXgBWwE+ASUBDwD4AN4AwACgAH8AXgA8ABv//v/k/8n/qv+K/2n/SP8m/wP+4v7E/qf+if5p/kX+Iv4F/fD93f3K/bj9pv2Q/XD9S/0r/RD89PzS/LD8lvyC/G/8XPxG/C78Evv0+9b7uPuc+4X7dftn+1X7Qfsw+yX7G/sN+vr64frI+rL6oPqN+nj6YPpN+j76MPoi+hT6Bvn5+ev53vnU+cr5vfmr+Zb5gflw+WX5XvlV+Ub5NPkn+SL5Ifke+Rr5F/kX+Rf5FvkU+Rb5Gfkc+R75Ivkn+Sv5Lvky+Tb5PPlD+Uv5VPlb+WX5cfl9+Yf5j/mZ+ab5sPm4+cL5z/nd+ef58Pn6+gb6EPoY+h76I/oo+i36Mvo3+j36RfpN+lH6VfpZ+mD6Zfpp+mz6b/pv+mz6afpp+mr6bPpt+m36a/pp+mv6bvpu+mr6Zfph+l76Xvpi+mf6bPpy+nr6f/p9+nv6f/qH+o36kPqU+pr6nfqc+qH6rPq3+r36xPrO+tf64fry+wb7FPsb+yb7OvtR+2T7dvuK+577sfvL++n8BPwa/Db8Wfx3/Iz8pvzM/PP9FP03/WX9lf29/eb+GP5H/mv+k/7K/wP/Lf9W/5H/zf/yAAsANgBqAIsAmACiAIwAMv/RAAABCwKRA+4E3wWTBjkGxAcWBx8G3gZjBdsFbAUMBJwEKwPqA+ID7QPxBAcESQSpBQUFVQWqBg0GewbsB1UHrAfsCBwIPwhLCEEILggjCCAIIQglCCMICQfSB48HWgc6ByYHDwblBpwGOgXUBXsFLATcBJAEUwQdA+MDpwNyAz4C+gKeAisBpgEOAG//3P9d/u3+iP4y/fD9w/2z/cb97f4A/eX9sv2Z/av9wf2q/WD9D/zZ/Lb8g/wt+8T7YfsK+rD6RvnP+V34//i1+HP4Mff399n34/gJ+C/4Ofgi9/j30ve396T3kPd993D3aPdj9133VvdL9zn3IfcC9tH2h/Y19gP2BPYl9kT2WvZt9nr2bPY19en1ovVw9VT1TfVa9XT1kPWr9cz1/PY+9oj21Pcd9133i/eq98b38/g1+Iv48/lt+eH6LfpF+lL6iPrs+1n7sPv5/ET8h/yv/L38yfzW/NH8sfyJ/Hv8kvy+/Ob8+Pzr/L/8h/xm/Hf8uP0N/Vb9fP1+/W39Zf1x/YP9hf15/Xn9lf3G/fv+J/5K/mP+dP5//of+i/6M/pH+nv6y/sf+4P8B/yX/Q/9c/3b/lf+y/8z/5f/9ABEAIwA/AGUAjgCzANcBAgEzAWMBjAGuAcsB6AIIAi0CVQKAArAC5gMdA1MDiAO8A+sEEwQ3BF0EhASrBNME/QUoBVMFfQWmBcsF6gYIBiUGQwZgBnsGlAasBsgG6QcPBzAHSQdcB2wHcgdtB2IHWgdVB08HSAdCBz8HPQc6BzQHKwckByAHHwccBxgHFgcWBxMHDQcGBwAG+QbvBugG6AboBuQG4AbiBuMG4AbfBuoG+gcCBv0G+Ab5BvoG9QbqBuAG2AbPBqwGoAaIBmUGQQYcBfUFzQWoBYIFUQUWBNwErgSJBGcESQQxBBsD/wPfA7sDmwOCA3ADXANEAysDGAMKAv8C9wLxAuECuAJ7AjoCAgHSAa0BngGrAdICBgIsAhwByQFgASkBPgFxAYcBdgFWATgBGgD8AOIAxACWAFMACv/L/6T/lf+K/13+/f6B/gn9o/1T/Rv89PzF/Hz8KPvl+7f7jPtb+y77Bvrb+q/6kfqD+nr6cPpj+kn6EvnG+Yb5bPly+Xv5cPlO+Sv5Ivk1+Ur5TflP+WP5e/mF+ZD5t/nk+fb6CPpi+vr7UvsQ+nf6Ffod+kv6XPpO+jr6KvoZ+gb53PmJ+SH41Pi0+Jz4cPg/+CX4Ivgt+E/4kvjb+Pr45fi6+KT4t/jm+RP5GPje+Gn34fd39z73F/bC9iT1ZPTH9F/0B/Og8z3y//Lf8rLyXPHr8X7xJ/Dg8KDwafBB8CvwFu/178vvpO+E72bvTe9G703vUO9A7yDvAe7v7vHvA+8R7wXu6u7d7uXu7e7l7t/u8O8I7xHvEe8f7zjvP+8w7yXvLO8870nvVu9g71nvSe9V75Tv7fAu8D3wI+/378vvp++C7z/uyu4y7aPtPez87MjsjexJ7APrv+t96zzq/erD6o/qWeoa6dLph+lB6QPoyOiI6EPn/+fA54DnOebw5rDmeOY95fvlwOWU5W7lQOUG5MnkkeRa5CLj7OO544zjZuND4xni4OKa4krh7+GJ4SXgz+CD4Djf6t+f31jfF97z3v3fJt883yHe5N6b3jfdp90K3J7cfNx93G/cTtwv3BzcCtv12+Tb3tvZ28/bxdu/27rbqduJ22jbWNtn24jbo9uh24rbetuP28/cLdyR3OvdP92W3eveJ9403hzeBd4L3i/eWt6F3rjfAt9p3+ngcuDv4VLhn+Hi4ificeLI4zbjt+RB5NDlYOXp5lnmpeba5w/nUuej6AXodejt6V7pyOo06rDrPOvY7IPtNe3T7kbum+7y72Hv3PBX8N/xhfIz8sLzKfOP9Bz0y/V29gz2l/cg96P4HPiN+Oz5GvkA+LX4iPjD+Xb6Yvsv+7L8DvyE/TX+Ff8QACABPgJPAy8DzQQzBHsExQUdBXcFvgX1BjcGlAb5B1IHoAf2CFAIogjoCS4Jdgm3Ce4KLAp1Cr4K9wslC1gLlwvdDCQMaQysDPINPQ2PDd8OLA6BDuIPRw+nD/0QRxCAELAQ8BFREcQSIhJXEngSoxLVEuwSzxKHEkASJRJKEq0TPBPkFJIVKBWGFZoVdRVLFU8VkhX+FmwWvhbrFwQXFRcPFskWOBWaFUwVcBXPFhgWOBZLFmkWjBaoFrwWwxa5Fq8WtxbJFsQWpRaWFqwWyRbDFqoWqRbAFrIWRhWMFM0UThQfFCUUOhRXFJMVEBXRFrgXjRgXGDwYJBgrGJkZWhoYGpEa0BsBGzMbWxt7G7ccKBy6HTcdgh2vHekeOR6CHqketB66HrwepR5zHkceUx6vH0EfxB/zH8cfdx85Hv8ejh3dHSgcuRyQHHccPxv0G8Ub2hwrHI0c2x0VHVUdph33Hjsedh6zHvAfJh9TH3oflh+gH5ofiB9vH1gfQB8dHuwewR6tHpQeMR1mHFsbNBnhGFoXCBaPFyQYNBjrGPoYvRi4GQoZdBmsGasZnhmpGbwZqxlmGQMYpRhWGA8X0heoF4kXYRcjFtkWkBZMFg8V2hWqFXYVNRTtFK0UeRRIFBIT1xOlE4ITZBM9EwIStBJgEhUR3BGzEZERaxFDESERBhDrEMcQmxBrED4QEw/wD9wPzg+4D5IPYQ8uDvUOsg5sDjYOFw4ADdoNnw1cDSEM8AzFDJsMcAxFDCEMAQvcC7ELkQuIC4kLeAtOCyILAArhCrsKogqmCrEKmwpgCiYKCwoACeUJuAmKCWUJOwkHCM8InQh1CFUIPAglCA4H+QfsB+IH0we+B6YHhwdgBz0HOwdgB4YHeQc1Bu8G1gbiBvEG/wciB1gHcAdKBwgG3gbUBr4GjQZfBlQGZAZxBnUGewaEBokGigaMBo8GjQaLBowGiwZ/BnUGfwaaBqsGqgalBqwGtgavBpgGfgZlBkkGLQYYBg4GBgX5BeUFzAWxBZoFiQV7BWkFWAVVBWYFfwWMBX8FYAVCBTIFMAUxBS4FKQUoBS8FNgUyBSMFEgUNBRMFFgUPBP8E8gTvBO8E5gTPBLEElwSNBJUEowSoBKEEkgSFBHcEZAROBDoEJgQSA/0D6QPXA8UDtAOlA5gDiQN5A2QDRwMgAvECxgKkAo0CegJpAlYCQAIkAggB6wHRAbgBoAGKAXQBXAFEASsBFAD7AN4AvwCfAH4AXgA9AB4ABP/t/9T/tv+V/3P/Uf8v/w3+7f7O/q7+jv5s/kj+I/4E/e792v3F/bD9nv2L/XH9UP0y/Rj8//zg/MD8o/yK/HX8YfxN/Df8HfwA++P7x/ut+5j7ivt6+2X7Tvs8+zH7Kfsc+wn68PrX+sP6s/qk+pD6efpj+lP6Rvo6+i36H/oQ+gL5+fny+ev54PnR+b75qvmY+Yv5gPl0+WT5U/lG+UD5Pfk7+Tf5Nfk1+TX5Nvk4+Tv5Pfk/+UH5RflJ+Uz5T/lT+Vf5Xflk+Wz5dPl9+Yf5lPmf+ab5qvmx+b75zfnb+ej59/oG+hH6Gfoi+i36OPo/+kT6SvpQ+lT6VfpW+lz6Zvpv+nP6dfp4+nv6fvp/+oL6hfqD+n76evp2+nX6dvp5+nn6dvp0+nb6evp8+nj6cfpp+mL6Xfpf+mT6aPpv+nr6gvqC+n/6gvqI+ov6ivqM+pP6mPqZ+p76qPqx+rT6ufrD+s361vrk+vj7CfsS+xz7LftB+1P7ZPt6+4/7ovu5+9b78fwJ/CP8RPxh/Hn8lPy5/N/9Af0m/Vb9hP2p/dH+A/4z/ln+g/69/vX/G/8//3T/rP/O/+kAGQBVAHwAigCLAGL/9/+c//MBOgLwBFgFOQXYBnMG+gdCBzgG1gYvBXgE7ASWBFMEEgPjA88DyAPOA/gESwSnBPAFMAWABeUGVAbEBy0HhAfCB/MIHwg9CD8ILggdCBgIIAgxCDoIJQfsB6QHbgdWB1MHTAcrBuYGgwYaBbwFawUgBN0EogRlBCED3wOrA3oDPALnAngB7wFMAJ8AAP97/wv+rP5i/in9//3n/ez+Bf4U/f390f25/cb91/27/Wr9DPzK/J/8ZvwJ+5X7Ifq7+l76BPms+Vb5CPjE+IX4Q/gE99734/gI+C34MvgT9+H3s/eV94b3fPd09273bPdo91/3U/dJ9z73LvcQ9tr2ivY49gv2F/ZD9mj2ePZ/9oP2bvYy9d/1lPVk9VT1X/V/9aX1wPXP9eX2EfZU9pz22/cO9z73bvec98b39/g4+I349fln+dH6Gvo9+lz6nvsG+3D7wfwC/Ef8ivy3/Mr82Pzr/PP85PzJ/Lv8wfzS/Of89/zy/M38mPx3/IL8rPzb/QD9Gf0m/Sb9Jv0y/Un9Wv1h/Wz9iP2z/eH+Cv4u/kn+Wf5g/mf+b/53/oL+kf6k/rf+zf7p/wr/KP9E/2D/fP+T/6n/wP/Y/+z//gAZAD8AZwCMALIA4AERAT0BYQGDAaYBzAHzAh4CSQJ3AqYC2QMKAzoDaQOZA8gD8gQaBEQEcASeBMwE+wUrBVsFhwWsBcwF5QX8BhMGLQZJBmMGewaUBrQG3AcDByIHOgdOB1wHXwdVB0gHQAc9BzsHOAc1BzUHNwc2BzEHJQcaBxUHFQcTBw8HCgcGBv4G9QbuBuoG4wbYBtMG1AbUBs8GzQbUBtkG2AbWBt4G5wbnBt4G2QbcBt8G2wbSBscGvAazBpwGjwZzBk0GKAYCBdQFoQVyBUYFFQTgBLAEiQRnBEMEIgQGA+0D0gO3A54DhgNvA1sDRwMxAxoDCgL+AvIC6QLmAuUC1QKzAowCZQI3Af0BxQGmAbMB6gIqAjwCAQGcAVkBXQGFAZoBjgF1AVkBOQEUAPQA2QC1AIIARwAR/+r/1f/C/5T/O/7F/lD97P2e/Wj9P/0L/L38bPw1/Bb78/vC+437X/sy+wT63Pq8+qH6ivp4+mD6Mfnw+bv5p/mo+aj5mfl8+WD5VPlb+Wb5avlx+YT5lvmW+Zr5vvnv+gX6D/pP+s37Jfr7+nH6Bfn++jf6Y/pj+kf6LPol+iX5/vmX+Rf4vvig+JH4bPg9+CD4IPg6+Gz4qPjN+Mb4p/iU+J74uvjh+Qn5Fvjd+FX3s/dD9x33AfaZ9dz1HfSt9Hv0M/Ox8yby0PKr8oDyL/HI8WvxIfDj8Knwc/BK8DDwHfAF7+Pvv++g74rvgO+C74bvfu9l70PvJO8P7w3vGu8g7wzu8e7t7wLvDu8E7wDvFO8r7y/vMu9K72fvae9Z71jvaO9v73Dvg++k76Tvdu9U73fvzPAS8CbwGfAF7+/v1++975PvP+697intqe1K7QHsvex57Dfr+Ou563frM+rz6rvqh+pM6gnpxOmC6UPpA+jB6IHoRegH58Lndecq5ujmrOZs5ivl9OXM5ablc+U25Pnkw+SQ5FzkJePy48rjrOOP42PjI+LY4oniM+HS4W/hFeDE4HXgKd/m37Dfi9+B35HfpN+Z32rfJ97W3mXd0t1E3OvczNy/3Kbcgtxk3E/cPNwt3CTcINwa3BHcCdwC2/Tb2Nux24vbeduB25fbpdug25Pbl9u+3AjcZ9zH3RndY92x3fzeLN4s3gvd8t4B3jXect6s3ujfNt+g4CDgpeEY4XHhteHz4jTigOLa40TjveQ+5MXlTOXJ5i3mc+aq5ujnN+eU5/3ocejq6Vvpwuoq6qPrL+vI7GntEO2p7h3ub+7A7yXvl/AM8JXxQ/H88ozy6fNJ89v0kfU69cL2RfbY93L3+/hq+Lv46Pjl+Ln4i/iX+Qj50vqx+177zvwv/LH9Wv4c/vD/2gDbAeYC4gOzBEYEqQT+BVUFoQXYBhAGYgbKBysHewfJCCIIegjKCRMJWQmZCdQKFgpjCqoK2wr7CyMLYwuzDAEMRAx/DMENDg1gDa4N+Q5MDqoPCw9mD7oQBRBGEIQQzxExEZUR2hH8EhYSRhKCEqESiRJNEiMSKxJhErYTLBPRFJEVMBV1FWQVNxUhFTAVWRWYFe8WThaXFr4W0RbNFpYWIhWiFWYVgxXDFe0WARYfFk4WdxaQFqkWxhbTFscWshanFqMWmBaHFnYWYRZCFikWMBZPFk4V6BUHE+gS9RKAEpMS9RNrE+UUeBU+FioW/xduF1wXGhc0F/cZGhoJGmwaZxpWGmkalhrEGvcbPxuSG84b4BvjHAQcSRyWHNMdEh1rHc0eDR4fHiYeWB7VH4sgNiCJIG0gFh/JH4UfGR5wHcEdTR0WHOQciRwMG5kbWRtaG4MbthvqHDYcpB0lHaEeCx5kHqoe4B8QH0MfcB+MH5sfqB+yH7Afkx9WHwke1R7THtUech1rG/EaYRjfF2IWIRWiFjkXihi+GTwZGRjbGOcZPBmYGcoZ1RnYGdsZyBmMGTQY2BiFGDwX/xfWF70XoBdwFywW5BafFmEWJxXvFbcVfBU8FPgUsxRyFDMT+hPLE6UTfxNRExoS3BKYElASDRHaEbQRixFYESYRBBDuENYQsRCFEFkQNBAVD/0P5g/KD6gPfw9RDxcO0w6QDlsONg4SDeINqQ1zDUUNHwz5DNQMsQySDHQMUwwsDAIL2wu4C5ALYwtBCzkLPAsqCvgKyAq5CrsKoQpiCiMKBQn+CesJwgmUCW8JSwkhCPAIvgiSCG8IVwhFCDIIHQgJB/cH5QfRB7oHnAdzB00HQwdcB3oHcwc/BwQG5gblBu0HAQcuB2QHdgdQBxEG6AbVBrgGiwZrBmsGeQZ7BnYGewaGBooGhwaIBpAGlgaaBp0GmwaNBn8GhAaYBqUGoAabBqcGtwayBpUGdwZnBmIGVgY7BhcF+AXlBdkFyAWwBZwFlQWSBYYFcwVkBWMFaAVnBVoFQwUsBR4FGgUcBRkFEQUMBQwFDQUJBP8E9gTxBO8E7QTnBN4E1QTRBNIE0gTGBKsEhgRpBGAEaQR0BHUEbARdBEwEOAQkBBEEAAPuA9oDxQOvA5kDhANwA2ADVANKAz0DJgMCAtgCrwKNAnICXwJQAj8CKQIOAfIB2QHBAacBjgF6AWkBVwFBASgBDgDyANQAtQCUAHUAVwA5AB4AB//y/9r/v/+f/3//Xf87/xr++/7c/rr+lv5z/k/+Kv4J/e/92f3C/ar9lf2D/Wz9Uf01/R39Bvzs/M78sPyU/Hz8aPxX/EL8KfwP+/X73fvG+7X7qPuY+3/7YvtM+z77Nfso+xX6/frk+s/6wPqz+qL6jPp2+mX6WfpP+kX6N/on+hr6E/oP+gj5/Pnu+d75zfm9+a/5ovmU+YT5dPln+V75WflX+Vb5VflV+Vb5Wvld+V75Xvle+V/5Yflk+Wf5bPly+Xn5fvmE+Yv5k/mc+af5tfnB+cf5yPnM+dj56vn8+g36Hvot+jr6Q/pK+lP6XPpj+mj6bfpz+nj6ePp4+n36h/qR+pb6mPqZ+pj6lvqV+pb6l/qU+o/6ivqG+oP6gvqD+oL6f/p7+nz6f/qB+oD6ffp1+mr6Y/pk+mn6bfpy+nv6hPqG+oP6h/qN+o36h/qG+o76lvqY+pz6pfqs+q36sfq9+sn60fra+ur6+/sG+xH7Ivs1+0P7U/tp+4D7k/uo+8P74Pv5/BL8MPxO/Gf8g/yl/Mr87f0U/UL9bP2P/bj97v4i/kv+dv6u/uX/Cv8r/1z/kP+1/9gADwBKAGsAcQBlACr/tP9r//IBawMvBHkFKgWnBj4G4gdhB5AHRgZ5BXIEqQRVBEgEPAQZA/AD1APXBAQETQSRBMQFAAVZBcMGLAaUBv0HWwegB9IH/wglCDQILAggCB8ILghECFIIRQgUB88Hkwd2B3YHegdjByIGvwZWBfgFqgVlBSYE6wSpBGAEGgPiA7ADdAMkAroCMgGOAOAAQP+4/0f+6/6l/nL+SP4o/hz+H/4d/gL91/25/bT9sf2I/TP8z/yD/E/8FPu/+1v6+Pqh+lL6CvnH+YT5P/j8+L34efg2+Ab3/fgR+CX4IfgE99r3tPea94z3hPd793X3c/dx92f3WfdN90X3N/cc9un2nvZQ9ib2MfZb9nn2fPZ19m/2XPYq9eH1nfVx9WX1efWj9c315fXt9f72LPZ09rz28PcT9zX3YveV98T39Pgx+Ib47vlb+br6Afo0+mn6uPsf+4D7x/wE/Ej8j/zA/NP83/zx/QH9Bf0E/Qn9Ev0b/Sn9Q/1T/T39AfzF/Kz8sPy8/MX80/zn/PX8/v0N/Sb9Pv1O/V79ef2d/cL95P4H/ib+Of4//kP+S/5X/mX+df6I/pv+sf7K/ub/Bf8n/0j/ZP94/4n/nf+2/8z/4v/9AB8ARABnAI8AvgDtARIBMwFVAX4BqwHXAgQCMQJeAowCvQLvAyADTwOAA7AD3QQHBDEEXwSOBLwE7AUdBUwFdgWYBbUFzQXiBfgGEQYtBkkGYwZ/BqQGzwb1Bw4HIAcxBz8HQwc8BzMHMAcwBzEHMQcwBzAHMQcwByoHHAcOBwcHBAcBBvsG9gbwBucG3AbTBssGwwa7BrgGuAa0BqwGqgayBrkGtwayBrQGtga0BrIGuQbFBswGzAbHBr8GsQalBpQGfQZaBjMGEwXyBcAFgQVGBRUE6AS6BJAEawRDBBsD+wPmA9EDtgOcA4gDdgNhA0wDOQMkAwwC+wLxAuoC4gLeAuAC3gLUAsgCuwKgAm4CKQHtAdcB9AIyAl4CSwIBAbkBngGlAa0BpwGZAYMBYAE2ARQA/QDnAMoApQB5AEoAHv/0/7//cf8T/rX+Xv4S/dD9lf1U/Qb8wfyZ/IT8Zfwz+/r7yPuX+2T7M/sF+tr6tPqb+oP6Wvoj+ff54fnX+cr5vPmu+Z75jvmE+YP5iPmV+af5sPmm+aD5vPnu+g36G/pG+qH66PrQ+mj6DfoD+jr6cvp/+mT6RvpC+kr6Jvm4+Sr4wPiV+IT4aPhC+CX4Ifg++Hj4q/ir+H34W/hw+Kj41/jw+QX5CvjQ+D/3kfcd9vT2yfZG9X302fSe9JP0T/O38xfyuPKN8lzyCfGp8VfxGfDl8LXwiPBf8EDwLPAZ7/3v3e/B77Dvre+u76jvlO9572LvT+8/7zfvOO8y7xju/+8D7x3vK+8k7yXvO+9M70vvUu9z75Dvj++I75vvru+d74Dvlu/Y7+zvou9B7yfvXe+h78vv5e/57/3v7u/d78vvme8y7qfuHe2q7Uvs+eyx7G/sMuv367rrdesu6u3qt+qC6kbqBenB6X7pO+j76MLoiuhK5//nsOdm5yTm5Oaj5mbmM+YH5drlpOVp5TDk/eTK5JTkX+Qx5A/j9+PZ46fjYOMT4sfid+Ib4bnhW+ED4LLgbOA54CLgJOA14D/gJ9/s36LfWd8B3oTd8t163TjdG9z93NfcstyV3H3cZ9xb3FncWNxT3E3cRdw43CHb/dvU27Dbn9ul27PbuNuz27Hbwdvr3DDchtzf3S7ddt3C3gneL94i3fnd5d4C3kfel97g3ybfd9/f4Frg1eE/4ZHh0+IQ4lLin+L4413jzORE5MPlReW85hvmYeac5t7nL+eL5/HoYuje6Vjpx+oz6qrrM+vB7E7s2+1i7dTuLO5/7t/vTu/J8GDxHPHY8mLyt/MV86/0avUN9Yf1//aR9zH3wvgz+IP4t/jP+Mn4rPiY+MX5Vfoq+vr7lvwP/If9BP15/ef+cP89AF0BswL6A+4EfgTYBSsFfAW8BfIGOwagBwgHXwevCAUIXgisCO8JMQl1CbkKAQpOCpIKwArgCwgLRwuYC+YMJAxbDJgM4w00DYINzQ4aDnAOxw8bD24PwRAQEFwQqRD7EUYRexGbEbsR7RIqElMSVxJHEkgSZxKVEsUTFBOkFGMVARU5FRUU3xTJFNMU8BUrFY8WARZQFmwWbRZnFksWDRXMFbYVyxXiFeAV3xX9FjEWVBZiFncWnBa6FrcWoxaaFqMWoxaGFlMWHhXwFcsVtBW3FbgVahSDExURqRDbEOcRhxJRExYT7BT0FhUW8RcpFsAWRBZuF3kY6hoBGmEaQhoYGiQaYBqoGukbIhtNG1gbPBsVGw4bNBtwG6wb+RxoHOkdUh2aHd4eRh7lH68gcSDlIOwgqyBlIC4f5B9zHvgelh5KHfUdghzsHDgbgBruGp8ajxqrGu8bZBwDHLcdYx3uHk8ekB7MHwwfQx9mH4Mfrx/gH/Yf3h+gH1kfLh8jHv0eUhzpGwMZKxe1FpMVtxVjFe4XPxiuGX8ZeBj/GK4Y1hlPGb8Z8hnwGdgZshl4GSsY2RiQGE8YGRf1F+MX0RetF3QXMBbwFrQWdBYyFfMVvBWCFUAU9RSrFGcUKhP0E8QTkxNeEycS9hLEEocSRBIJEd0RshF7EUIRFhD7EOIQwBCYEHQQVhA7EB0P+w/XD7YPlQ9qDzAO7w6yDoAOUQ4eDeYNsQ2JDW0NVQ07DR4NAQzlDMYMogx7DFQMKgv2C7gLgAtkC2cLbQtWCx0K4grFCroKnwpmCikKBwn/CfYJ2QmuCYQJXwk8CRUI5wi3CJAIdghkCFEIOAgcCAIH6QfSB74HpgeGB2YHVgdaB2QHXQdCByIHCwb/BvkHAgcgB0IHSQcrBwIG5gbSBrQGkgaCBocGjAaEBn0GhAaRBpEGiwaNBpoGpAanBqcGpQaaBowGigaSBpUGjQaNBqEGtwayBpAGbgZoBncGewZdBiQF8AXWBc8FxAWuBZ0FmgWdBZcFiAV5BW0FXwVPBT0FKwUaBQwFBwUHBQYE/gT1BOwE5wTkBOQE4wTcBM4EwQS3BLAEpwShBKMErASvBKAEfgRWBDsENAQ9BEUEQgQ1BCQEEwQEA/QD4gPPA7oDogOIA2sDUAM3AyQDFwMQAwoC/ALjAsECnQJ8AmECTgI/Ai8CGAH9AeIByQGuAZIBeQFmAVgBSAEzARgA/ADgAMYAqwCOAHIAVgA8ACIACf/y/9r/v/+i/4T/Zf9E/yP/A/7j/sH+nv58/lr+Nv4T/fT92f3A/af9kf19/Wj9UP03/SH9C/zy/Nj8u/ye/Ib8c/xi/E/8OPwf/An78/vf+8/7wvuw+5X7dvtc+0v7Pvsw+x37B/ru+tn6yfq9+q/6m/qG+nL6Zvpe+lj6TfpA+jX6L/oq+iH6FPoF+ff56fnb+c75wvmz+aT5lfmH+Xz5dvl0+XX5dPlz+Xf5fvmD+YL5ffl7+Xv5ffl++YH5iPmR+Zn5n/ml+av5svm6+cX50vne+eb56vnv+fr6DPof+jH6QfpR+mD6avpx+nf6fvqF+or6jfqS+pf6mvqc+p/6p/qv+rT6t/q3+rT6r/qs+qz6q/qn+qH6n/qe+pv6lvqT+o/6ifqD+oD6f/p/+oH6g/qB+nb6bPps+nP6d/p5+n/6hvqH+ob6ivqS+pH6ifqG+o76lvqY+pr6ofqn+qn6rfq5+sb6zfrU+uD67/r6+wf7Gfss+zr7Sftd+3P7hvuZ+7L7z/vp/AP8Ifw//Fj8c/yU/Lj83P0E/TD9WP17/af93/4V/j7+Zv6a/s/+9/8d/03/gP+p/9QADAA8AFAAUQBC//7/fv89/+IBeAM8BGME4AUwBbYGfAdbCAUICQcoBcYEqwROBHcEoQSLBEoEEAP9BBUERgR1BKME5gVKBbUGFAZxBtoHQAeHB7IH2QgCCCIILggzCD4IUAhjCG8IaQhJCA8H0AeoB6AHpgeTB1IG7gaHBjIF6wWoBWgFKQTlBJ0EVgQZA98DnQNKAuECXwHIASsAlgAQ/5n/N/7u/rv+k/50/l7+S/4x/gj92P2w/Zf9gP1S/QX8qvxc/B372/uM+zz6+frB+oj6TfoS+db5l/lW+RL4yfh++EP4Jvgg+Bv4Cffv99P3ufem95r3kfeG93z3ePd292/3YvdW90r3PPci9vf2uvZ49k/2T/Zn9nL2ZPZT9kz2Q/Yk9fH1uvWR9X/1i/Ww9dr19fYE9h32UPaW9tf3BPch9z/3Z/eU97z35Pgf+Hn46PlW+bP5+vo2+nj6zfsu+4T7wfv4/Dv8hPy4/ND83/z1/Q39H/0z/U79Zv11/Yj9rv3P/b/9c/0U/NP8uvy1/LX8vvzQ/OD86/z6/RP9K/08/Uz9Zv2H/aX9vv3b/fv+Ev4b/hz+Iv4s/jr+Sv5e/nT+jP6k/r7+3f8D/yv/TP9h/3H/hf+f/7n/0f/sAAsALABQAHoAqQDUAPYBFAE4AWMBjwG7AeYCEQI8AmgCmwLRAwgDPANvA6ID0gQABCwEWASFBK8E2AUDBSwFUAVvBYwFqQXEBd0F9wYUBjIGTwZsBo4GtAbTBucG9wcLByAHLgcyBzIHMgcxBy8HLAcqBygHJgciBxsHDwcCBvkG8gbqBuMG3gbZBtAGwwa1BqoGoQaaBpgGlAaIBnoGdQZ6Bn4GewZ4BnkGfQaDBpEGqAa8BsYGygbMBsYGtwakBpAGbAY/BhsGBwXvBbcFagUjBPEEyQShBHoEUQQhA/MD2QPRA8UDqQOLA3gDaQNWA0EDLgMZAwAC6wLjAuIC3QLXAtYC2gLdAuQC7ALqAtACnQJhAjYCNQJfApgCrwKOAk0CEQHrAdUBxwG6AaQBgAFaAT8BMAElARcBAwDhAKsAagAr/+//sP9w/y/+6/6b/kP97P2Z/VD9Gvz+/Or8yPyU/F/8L/wA+8v7lfth+y77BPrm+sn6nPpj+jL6Evn4+eL52fne+d/5zvm3+ar5rvm6+cb5xvm4+az5vPnl+g36KvpW+pX6wPqp+lr6EvoF+jH6bfqQ+or6cvpo+mj6Q/nb+U/42/ic+ID4bvha+ET4NvhG+Hb4mfiA+EH4J/hc+LX47fj6+P/4+/jA+DT3iPcJ9sX2dPXb9SH0p/SQ9JD0QvOm8xDyufKF8kHx4/GJ8UbxFfDs8MXwnvB48FrwRvA08Bvv+u/d78zvxe/A77Pvnu+L74Pvfu9072rvZu9f70zvOO8370XvTO9L71bvbe9373Lve++d77bvtu+/7+Tv8u+974HvoPAN8ETv8u9f7wTvBu8172nvne/E78rvve+/787vvu9u7vTud+4I7aPtSez67LPscew26/7rvutz6yvq8erA6orqRun96bXpcuk56QTozOiJ6Dzn7+eq52jnJebj5qfmceY+5grl1eWi5W/lO+UH5NPkpOR95F7kQ+Qe4+bjnuNU4wviu+Jf4f3hneFF4Pbgt+CV4JbgtuDb4N7gpeBF3+bfkd8p3preCd2q3YHdZd043Qbc49zL3LHcl9yM3IzcjNyG3IHcedxo3EzcKNwE2+jb3dvj2+3b7tvp2+3cAdwl3F3cqNz73Ufdjd3W3hbeM94h3fzd894c3mjevd8M31rfseAb4JPhB+Fn4bTh9uI04nTivuMW43nj4+RV5NDlUeXJ5i3meOa15vLnN+eJ5+XoUejN6VDpyuo86rfrP+vG7D3spu0Q7Xzt3+477p3vDe+V8EHxCvHC8jzyiPLr8430SfTh9U71vPZJ9uX3dffr+Er4lfjP+PH47/jQ+Mn5Fvm++oz7S/vu/Hn83v0P/R79S/3a/u4AbwIJA1QEHgSKBN8FPgWWBd4GKAaEBukHQweWB+sIQQiKCMgJBwlOCZkJ4gooCmkKoQrTCwgLRwuOC9EMDAxADHgMtwz/DUoNlA3dDicOcw7DDxoPeA/WEC4QdxC0EOgRGRFIEXYRpxHaEgkSMhJYEoESqBLBEtES/RNrFAkUkhTJFLIUfBROFDYURxSYFSEVqRX3FgMV9BXpFd8V1RXaFfoWGRYQFeYVyhXdFggWIRYiFikWRRZlFnQWdxaDFpQWjxZjFiQV8RXMFZ0VYBU3FS4U+BQZEnkQqw+FD3AQJxEsEkATdhTdFjQXABbtFjcVpBX0FzsY0BntGk0aOBoZGikaahrEGx0bZRuRG5kbeRtFGyMbKRtLG3Ubrhv+HFwctR0LHXId9x6dH1wgHCCuIO4g7CDWIMIgpCBwIC8f6B+THzIeyh5HHXscYBs8GmkaCBn6Ghwabxr8G7ocgh0tHa4eGB6FHvEfPB9aH3Ifpx/sIBUgDB/sH88frh9mHrwdfBujGYkXuxaOFe4VnBWbFjEXdBj0GfYaBhlfGLYYlxkDGY4Z3BneGbgZghk/GPEYphhpGDoYFhgBF/kX8BfUF58XYRcpFvQWthZvFiwV9hXBFYIVOhT0FLEUbxQwE/YTvROAE0ITDhLiErISehJCEhIR5RGwEXgRRxEfEPsQ1xC1EJYQehBdEDsQEg/pD8YPpA96D0MPCQ7UDqQObw41Df0Nzw2uDZgNhw1yDVgNOg0cDPgM0AypDIcMZAw2DAQL3AvEC64LjAtZCyAK8grWCsAKoQpvCjgKEgoHCgcJ+wnVCaIJcwlRCTQJDgjgCLYIlgh9CGMIRwgrCA4H8AfSB7sHpweRB3gHYgdSB0cHQQdBB0IHNgccBwEG+AcCBw8HDAb7BuoG3AbJBrEGoQahBqcGoQaPBogGkgadBpgGjgaSBqMGrwaxBrAGsgavBqMGlQaJBnwGcgZ5BpQGrgapBoMGXQZTBmMGawZSBh4F7gXXBc8FwgWrBZoFlwWXBZEFhQV5BWwFVwU9BSYFEwUDBPUE7gTvBPAE6wTgBNQEzwTUBOAE4wTSBLUEnASPBIgEfQR1BHcEgQSKBIcEcwRQBC0EFwQXBCAEIAQTBAAD8wPoA9gDwAOmA44DdANXAzgDHwMKAvcC5gLcAtYCzwK+AqUChwJqAlICPwIwAiACCwHyAdYBuQGbAX4BZwFUAUQBMwEfAQcA7ADUAL4AqQCSAHkAYQBHACwAEf/1/9n/u/+d/4H/Zf9H/yX/Av7h/sH+ov6E/mb+RP4g/fz93P3A/ab9j/16/WT9Tv04/SP9Dfz2/N38w/yn/I/8fPxt/Fz8R/wy/B78Cfv0++L70/u/+6P7hPtq+1f7SPs4+yX7Dvr2+uL60/rH+rn6pvqR+nz6bfpn+mT6X/pW+k36R/pA+jf6Kvod+hD6A/n3+ev53/nS+cT5tvmp+Z35lfmT+ZP5kPmM+ZD5mvmi+aL5nfma+Zz5nvme+Z/5pfmv+bj5wPnH+c350/nZ+eL57Pn4+gP6DPoV+iP6NfpH+lb6Y/px+oD6jfqU+pj6nvql+qj6qvqt+rP6ufq9+sD6xfrK+s/60frQ+sz6x/rE+sT6wvq7+rX6tfq2+rX6r/qo+p/6lfqM+oT6fvp6+n36hfqI+oD6dvp1+nz6gfqC+oX6ifqJ+of6jPqU+pP6ivqH+o76lvqW+pf6nfql+qj6rPq2+sH6x/rO+tv66fry+v77EPsl+zX7QvtV+2r7fPuO+6b7wvvd+/n8F/w0/E38aPyI/K380fz4/SP9Tf1z/aH91v4I/i7+VP6F/rn+5v8S/0T/df+g/84AAgAmADAANQAy//H/Z/8W/7ABQgMEBCUEiwStBQIFwgbnCAoIbQecBgsEywR9BNgFJQUNBLEEWAQoBCgESQR2BKoE8gVSBbQGCwZjBswHLgdtB4sHqwfeCBYIPwhZCGwIfAiGCIwIjQh/CFcIIQf2B+kH6AfOB4YHIQbBBnYGMgXpBZ4FWQUXBNMEkARQBA4DwANhAvQCegH4AXQA7wBr/+7/hv85/wT+3/7F/q7+jv5f/iT96f20/Yr9Z/0+/QX8vfx0/Cv72vuF+z77Evr1+tH6n/po+jL5+fm5+W35GPjB+Hz4UPgz+Bj3+/fg98v3t/en9533lfeK9373ePd293H3aPdd90/3PPcj9wL21fai9nv2b/Zw9mL2RfYu9i32MPYh9f711PWu9ZX1lPWv9db1+PYW9j/2d/az9uT3Cvcr9073dfeY97b32PgT+HL45/la+bv6CPpJ+o363vs2+3/7svvg/B78Z/yh/MX84f0B/SD9OP1R/XP9lf2t/cj98v4W/gf9sf1A/Or8xvzB/MX8zfzY/N/85Pzv/QT9Gv0q/Tr9U/1x/Yn9m/2v/cv95f3x/fT9+P4B/g/+If42/k/+af6A/pf+tP7a/wP/KP9C/1f/b/+L/6f/wf/c//oAHABCAG0AmgDDAOYBBwEtAVUBfwGnAdEB+wIjAk0CfQK0Au0DIwNXA4sDvwPyBCQEVASCBKwE0gT1BRcFNgVTBW8FjgWtBcgF4QX7BhkGNwZTBm8GjQamBrsGzwbrBwsHJwc3BzwHOQcwByUHHQcZBxgHFQcQBwkHAQb3BuwG4AbSBscGvwa4BqwGnQaOBoMGegZ1BnEGZwZVBkUGQAZCBkUGRQZJBlMGYAZwBosGqgbABskG0QbYBtUGwwaqBoYGWQYlBgcGAgXuBakFSAT5BM4EsASPBGsEQgQOA9sDwAO/A7gDnAN7A2kDXQNKAzIDHQMKAvMC3wLYAtoC2QLTAtAC1ALcAugC+AMGAwYC8QLMAqcCmQK0AvIDKQMwAv8CrgJgAicCAwHpAcsBqAGJAXgBcAFpAWEBVgE7AQMAuABuADD//f/S/6n/cv8g/rf+S/3v/av9f/1j/UX9Gfzk/LX8j/xo/Dj8BPvO+5v7cftS+y769Pqr+mr6O/oW+fr59PoF+hL6B/nt+dr51/nc+eH53vnU+cn5y/nh+gf6OPpz+qz6w/qo+mv6M/oe+jf6bvqh+rH6nvqF+nD6Q/nm+Wn49/is+Ij4fvh/+Hf4Zfhh+HL4ePhQ+BP4CfhN+Kf43Pjo+O/46/iv+Cr3ivcH9qX2MPWO9O/0lfSB9Gf0B/N78wjyw/KE8ijxv/Fu8T7xHvD98NrwtfCT8HnwafBY8D3wG+/+7+rv3e/S78bvt++r76bvoO+T74Xvhu+Q75PviO9773Tvcu9675Lvq++v76bvsO/N797v3u/x8BzwHO/P74zvwvBV8KfwXO+57z3vFO8g70Tvbu9+72fvUu9u76Pvq+9n7wHupu5X7gHtp+1T7QTst+x17EDsBuu8627rMesB6srqguoz6evprel56UbpDOjG6HroNOf057Tnbuco5unmr+Z25j/mD+Xi5bHle+VI5Rzk9uTS5K/kiuRe5Cjj6eOk41fi/uKc4jnh3eGI4T/hC+D24QXhMuFg4WThI+C24Eff3t9a3rjeK93k3c/dsd113T3dIN0Q3Pbc29zQ3NDcy9zD3LzctNyg3IHcYtxH3DPcLNw03D3cPNw33D7cVNx03KLc5N0v3XTdr93p3hzeM94n3hXeH95O3pTe4N8s33/f4OBU4NHhQuGa4d/iHeJY4pXi2uMu44/j+ORq5OjlbOXp5lXmqObl5xXnSeeM5+DoRei86T7pvOo16rbrRuvP7DbsfuzJ7Sztne4I7mzu2e9l8Bzw6PGW8gTyT/K982j0HfSk9QP1bvX89pb3H/eY+Ar4dfjT+Rf5M/ki+Qj5H/mD+iL63PuY/D78pPy2/JL8g/zW/bf/JQDcAmgDcQP+BFwEyQVDBa8GDAZqBswHJgd3B8cIGQhlCKcI6AkwCXoJvwn9CjsKfArACwELPAt0C6wL5wwiDFgMjgzKDRENWw2jDecOLQ57DtEPLw+QD+sQMhBkEI0QwBD/ETwRahGPEb0R/hJJEocSqhKzErgS1RMcE4AT5hQxFEwUMBPoE6IToRQGFKUVLxVxFXgVaRVaFVEVYBWeFfgWNRYtFfUVyRXKFeAV6BXdFdQV3BXyFgsWJBY7FkUWLxX8FcYVphWUFWYVFhTTFMAUkRO3Ef8P+w6aDlsPDBAyEY0TGhS+FhUWpRZOFYkVLhXSF0kY1RnRGigaKxooGj8adhrKGywbghu9G9cbyxugG3EbWhtjG4AbqxvgHBkcVRyhHQgdgx4GHpcfOB/WIE8gmiDJIOQg6CDZIMAgmCBYIA4f0x+GHtYdpBw8Gxwaexo3GiMaPRqXGygbxhxQHMsdWh4NHr4fMR9aH3MftCAOIEQgRSAwIBcfyx8IHbAb3xnYF/UWixXCFXsVexWzFlsXnxk5GngaxBopGUwY1hjuGUUZghmJGW0ZOxj0GKMYWhglGAIX7hfsF/UX9RfcF6gXbxdAFxQW3BaYFlYWHhXpFa0VbhU0FPoUuBRyFDMT+RO6E3QTMxL/EtQSqRJ6EkkSFRHiEbARfxFNESAQ/hDkEMgQpRCAEFoQMhAID+APuA+KD1YPIw71DsYOkQ5dDjEODQ3sDdENuQ2fDX0NWQ03DRIM6AzBDKIMhAxmDFEMSgw6DAULsAtfCzMLHwsHCt8Krgp9CkwKJgoZCiQKKAoHCccJhgldCUUJKQkDCNsIuAiXCHQIVQg8CCIIAQffB8QHrweaB4IHaAdMBzgHOQdSB2sHYwc2BwQG7gbzBvwG/Ab4BvMG5gbOBrgGtgbEBsgGtwaeBpMGmwagBpgGjQaRBqEGrgazBroGxQbKBr8GpQaEBmcGWQZkBoIGmgaUBnEGRgYtBigGJwYbBgQF8AXlBdkFxAWsBZ0FmAWSBYIFbgVeBU4FOAUeBQUE8QTeBNAEywTPBNME0gTJBMAEwATQBOQE5QTKBKEEhgR8BHYEagRfBF4EYgRkBGQEXwROBC8EEgQHBAoECAP1A94D0APFA7EDkQNwA1UDPAMhAwkC+QLtAt0CxgKxAqQCngKTAoECaQJRAjwCKwIdAg4B/AHlAckBqgGMAXIBXAFJATYBJAESAP4A5wDOALcAogCMAHYAYQBLADMAGf/+/9//vf+a/3v/Yv9H/yb/Af7d/r7+o/6K/m/+T/4q/gP93/2//aX9jv13/WD9Sv03/SP9Dvz4/OH8yPyt/JX8gfxy/GP8UvxB/C/8GvwE+/D73vvJ+677k/t7+2f7VvtF+zD7GPsA+u363vrQ+sD6rfqY+oT6c/pr+mr6aPph+ln6U/pN+kb6PPox+ib6GvoP+gX5+vnt+eD51vnL+cD5uPm1+bP5q/mj+aT5r/m6+b35u/m7+b/5wfnB+cL5xvnN+db53/no+e759Pn5+gD6CPoS+h36K/o6+kv6Xvpw+n36hvqQ+p36qvqy+rf6u/rA+sT6xPrG+s361frb+t/64/rn+un66frn+uP63vra+tj61frO+sj6xvrH+sX6wPq4+q76ovqW+oz6gvp7+n36hvqO+or6gfqA+ob6ivqK+ov6jfqM+ov6jvqU+pP6jPqJ+o76lfqU+pT6m/ql+qv6r/q2+r36wvrL+tr66Prw+vn7Cfsd+y77PPtO+2L7c/uF+537ufvU+/D8Dvwr/ET8XvyA/KX8yPzs/RX9Qv1t/Zr9yv33/h3+Rv53/qv+2P8G/zj/Zv+O/7z/7gAOABYAIAAp//L/Y/74/2kA2gKaA9QESARLBFsE4wYIB2AIBAdmBgQE/wT0BXgFxwWTBRsErARqBFcEbwSdBNAFCwVVBasGAgZgBsQHGAdGB1sHfwfGCBkIWgiACJMInAihCKcIrwiuCJkIdAhUCEgIPwgYB8cHZAcOBscGfAYjBcsFgQVBBQMExgSHBEAD5gN6AwgClgInAbUBOgC3ADv/1v+N/1n/M/8Z/wH+2/6e/lb+Ef3R/Zr9cP1N/SX87vyq/Fz8Avum+1z7Nfsj+wv63/qs+nv6SfoI+bL5Tvju+KL4cPhJ+CL3/ffh9833ufen95z3l/eQ94b3fvd693X3bfdj91b3Q/cq9w726vbB9p/2jfZ/9mP2PfYm9if2LPYf9gH13/XA9ar1pvW89eD2BPYu9mT2oPbR9vD3C/cv91n3gfee97j33Pga+Hf45/lb+cT6Hfpm+qr69PtA+337o/vG+//8TfyV/Mj87v0U/TX9S/1h/YD9o/3A/dv+AP4e/g/9wf1U/Pv80vzN/Nf84vzp/Oj84/zm/PT9Bv0W/ST9Of1T/Wj9dv2F/Zv9s/3C/cf9zP3X/en9/f4V/i/+R/5d/nL+jf6v/tT++P8X/zT/U/9z/5L/rv/K/+kADAAzAFwAhQCtANQA/AEjAUkBbgGXAcMB7gIUAjoCZgKbAtMDCQM7A24DpAPaBBEERwR6BKgEzwTwBQ8FKwVFBV8FewWXBbAFxQXbBfgGGAY2BlEGbQaIBqEGugbZBv4HIAc2BzwHNQcjBxEHBAcABwEHAQb9BvcG7wblBtUGwgavBqAGlAaIBngGaQZeBlcGUgZOBkcGOQYoBh4GIAYlBisGMwZEBlkGbQaCBp0GtgbEBssG1QbeBtgGwAalBnQGRgYQBfgF/QXmBY0FFwTFBKgEmQR9BFwEOAQIA9QDswOsA6UDigNqA1sDUgM+AyADCAL4AucC1gLQAtMC1QLSAtIC1QLaAuIC8QMFAxQDFgMNAv8C/gMeA2EDqQPJA6gDVALyAqACaAI/AhgB8AHQAb8BtwGzAbABqQGQAVkBDgDEAIcAWAA0ABP/5P+W/y7+xP5s/ir9+f3N/Z39Zf0t/QP85vzK/Kb8ePxE/A373/u5+4r7Qfro+pv6Zfo8+hv6D/ob+ir6JvoS+gH5+/n6+fn59vnw+ef53fnf+fr6M/qA+sP63/rU+rL6jvp1+nX6lfrA+tD6uPqO+mb6NPnh+Xb5EfjI+KD4mfim+LD4pviS+H74Xfgj9/L3+fg3+Hz4pvjD+N742/iV+BL3g/cK9pn2EvV39PL0pPR09C7zvfNI8vryyfKF8hvxsPFp8UjxMvEW8PPwzvCt8Jrwj/B/8GPwRfAv8B/wD/AA7/Lv4e/Q78HvsO+Y74Xviu+m777vve+m75Lvke+p783v5u/k79vv5u//8AnwB/Aa8DrwK+/h77nwCvCe8OHwl/AL76Lvb+9e72Tvbu9R7w/u7+8j73PvfO8y7t/ute6W7lvuB+2y7V3tBOy37H7sSewB67HrcOs+6wPqtupn6iTp7um76YbpSukE6Lzoeug+5//nuOdx5y/m8+a45oPmVOYn5fTlvuWQ5WzlSuUj5Pfky+Sg5HLkPeP746bjQOLY4nfiH+HM4YjhY+Fh4X7hruHd4ePhp+E64L/gO9+c3u3ead413ireBN293YLdbN1h3UndMd0p3SndIN0R3QrdAdzq3Mrcr9yb3IzchtyN3JXcktyM3JbcsdzU3P3dN9163bPd3t4F3irePt5A3kbeY96W3s/fDN9T36ngEuCP4RLhgeHR4gziQuJ74rXi9eNC45/kB+R+5QXlkuYU5oPm2OcS5zXnWeeQ597oPeiq6SPpnuoY6p7rOOvK7C7sZOyb7Pntde3u7lLus+8x79zwn/FH8bfyD/KO80Hz7fRg9LD1GfWw9k720/dL98z4VPjP+Sz5Xvln+Vj5U/l0+cj6UvsH+7/8O/xa/Df8Evwu/MP97/+UAUQChgM+A7AELATBBVEFzgZCBrMHEQdaB5sH5Ag0CIEIyQkQCVcJmQnVChAKTwqTCtQLCAs0C2YLpQvpDCgMYAydDOUNMA12DboOAw5SDqMO8w9GD5kP4xAYEEQQeBC7EP0RKhFIEXERtxILEkwSZxJsEngSlhK6EuETIROHE+YT+ROsE0wTQxOpFDkUnhTGFNYU3xTWFMAUyRUZFZcV+BYMFeoVxxW8FbkVqhWSFX4VdhV9FZQVsBXCFbsVmhVrFUEVLBUfFP0UvhSEFGQUGxMrEWwPaA4ADbQOYQ+dESMS0BRiFXAVsxVMFNQU+xYEF44Y6RmvGfkaGRo2GlUagBrEGxgbZBuZG7gbvhuiG3AbRhs9G1kbjxvLHAEcNRx3HMsdIB1rHbweLh66H0QfvSAgIGUggiCEIIYghiBzIFcgSSAxH78eyR2LHHEbqxslGs4atRrpG0gblxvAG+4cXx0iHfgejx7ZHxofjSAXIGkgYCAcH7Ee9B2rG+MZ9BhEFwgWPRXHFYMVXRVoFekXHBjaGn4bVBsnGmIZoxk6GRcZDhkIGPsY1RiTGEcYCBfZF7YXpBetF8cX1xfHF5sXaxdFFyAW7hauFmsWMBX3Fb0ViRVdFTIU+BSzFHEUNxP7E7cTbhMuEvsS1BKtEnwSQxINEd4RsBF8EUwRLxEdEQIQ1hCnEH8QWxAzEAYP1w+kD3EPQg8ZDuwOuw6QDnEOUw4yDhEN8w3PDaANcg1MDSsNBgzgDMAMnwyBDHgMiQyODFcL8QucC4ELgQtjCx0K0gqbCnEKTgpCClIKXwpCCfcJpQluCVIJOQkYCPQI1AixCIwIawhRCDYIFAfzB9kHxQeuB5QHeQdcB0YHSgduB5EHhgdJBwkG8Ab/BxUHIgcnByMHCwblBsoGyQbYBtoGxQapBpoGmQaaBpQGjgaRBpoGpQaxBsEG1AbdBtIGsAaDBlwGSgZSBmkGegZ2Bl4GOQYTBfUF5QXlBe0F9AXvBdwFwQWrBaIFngWRBXUFUwU2BR8FCQTzBN4EyQS2BKkEpgSrBLIEtASvBKoErQS/BNMEzwSuBIcEdAR0BHEEZARXBFMETgREBD8EQwRDBDEEEwP/A/oD8gPbA74DqgOcA4UDYQM9AyEDCwL2AuQC2gLTAsQCqAKKAnQCagJjAlYCRAIwAh4CEAIDAfYB5gHSAbgBnAGDAW0BWgFGATEBHgEOAPoA4ADBAKQAiwB0AF8ATQA/AC8AHQAH/+v/x/+f/33/Yv9J/yr/BP7e/r7+pP6M/nL+Uv4t/gb94f2//aP9iv1z/Vv9Rf0y/R/9C/z4/OP8y/yw/Jf8gvxx/GL8VPxG/Db8IvwN+/n75vvQ+7n7ofuM+3r7aPtV+z77JPsN+vz67frb+sb6sfqf+o36ffpz+m/6bPpl+lv6VfpR+k36R/o++jT6K/oj+hr6DvoC+fn59Pnt+eP53Pna+db5y/m++bv5xfnQ+db51/nZ+d354Pnh+eL55vns+fT5/foG+g76E/oY+h76Jfou+jn6SPpZ+m76g/qW+qT6q/qx+rv6xvrP+tT61/rb+t763/rh+uf67/r2+vv7APsE+wT7Afr++vn68/rt+uj65frg+tr61frQ+sz6x/rB+rn6rfqh+pf6j/qI+of6jvqU+pP6jvqO+pL6lvqV+pP6lPqT+pH6k/qX+pf6kfqO+pH6lfqV+pb6nfqm+q36svq4+r36wPrJ+tj65/rw+vj7BvsY+yf7NftH+1r7a/t9+5b7svvN++j8Bfwh/Dr8Vvx6/KD8wPzh/Qj9Nv1i/Yz9uf3k/g7+Pf5x/qL+y/73/yf/U/94/6P/1v/5AAMADQAY/+n/YP7l/ywAcwItA4oEIwQgA/cENQUlBmwHKgbYBfEFdAXHBmEGjQYtBZsFIgTTBKwEsATQBPMFGAVOBZ4F/AZfBrkG/AceBzQHZAe5CBwIaAiSCKUIrwi6CMcI1QjaCM4ItwimCKAIkghiCA4HsAdhBxcGvQZUBfMFqQVtBTME9wS4BG0EDAOcAysCwwJdAe8BdQD1AIMAMP/2/8n/n/97/1f/I/7a/on+Qf4D/cr9nP15/VX9I/zj/Jj8Qvvn+5n7avtS+zX7B/rS+qL6cfou+dL5afkI+L74i/hf+DP4DPfw99z3x/ez96b3oPea95T3j/eJ94H3d/du92P3Uvc79x/2/PbW9rf2qPad9oP2YPZK9kX2PvYm9gX16vXW9cn1zPXj9gX2J/ZQ9oz2zPb39wr3F/c09133gfee97336/gv+Ib46/lY+cj6LvqD+sr7D/tR+4H7mfuy++r8Q/yd/Nz9BP0j/T79VP1t/Y79tP3S/ej+AP4S/gf9y/1s/Q/81/zH/NL84/zt/Oz85Pze/OL87vz8/Qn9GP0r/T/9T/1e/XD9g/2R/Zj9n/2s/cD92f3z/gz+I/43/k3+af6K/qr+yv7q/wz/MP9V/3n/mf+3/9b/+QAfAEMAZwCPALwA6QERATMBVgGAAa4B2QH/AiQCUAKGAsIC/AMxA2IDlQPJA/4EMwRmBJQEugTZBPUFEgUuBUcFYAV6BZEFpAW5BdcF+wYfBj8GXAZ6BpYGrwbLBuwHDgclBysHIgcQBvwG7QbnBucG5gbhBtcGzAa9BqgGkAZ8Bm8GYwZUBkYGPAY6BjoGOQY0BioGHAYRBhEGGwYnBjIGRAZeBngGjAaeBrAGvAa+BsAGygbPBr8GpAaNBmkGPgYFBe8F+QXcBXAE6gSbBIwEhgRnBEEEIgP/A9EDrQOgA5YDfQNhA1MDSwM1AxMC+ALqAt0CzwLIAsoCzgLRAtQC1wLYAtoC5wL9AxIDHgMnAzUDUAODA80EGAQ/BCkD4AOBAysC6wK7Ao8CXgIvAg0B/AH8AgUCBgHtAbYBbwEqAO4AvACUAHMARwAC/6v/Vf8J/sP+ff44/fX9tf19/VL9NP0d/QX85Pyy/HL8Mvv4+7n7Z/sM+sP6lfpy+k76M/or+jD6L/ol+hz6Gvoa+hX6Cfn5+ej52vnU+eT6GPpq+sD6+/sX+x/7FPr3+tv61/rl+uD6uvqJ+mP6Ovn1+Zj5Pfj6+NP4yPjU+OL44fjK+Jv4V/gN9+X39Pgi+Ev4bfic+Mr4wfho9+X3avcA9ov1//V19Qv0v/Rx9AjzkPMt8vTyy/KH8iHxvPF78VvxR/Eu8Q7w6PDK8LrwsvCi8InwdPBq8GHwTfAz8Bnv/+/l78/vvO+j74zvjO+p78jvy++176PvsO/X8ADwEvAM8AfwGPAy8DzwPPBI8FXwO/AI8AjwX/DA8MTwbvAX7+vvzu+u75vviu9M7uzux+8K713vT+7v7qzute7K7qnuXu4L7bXtVOz77L7siexD6/LrsOt76zzq7Oqh6mbqNeoB6cfpielG6QDov+iE6EboAee853znQOcG5tDmn+Zu5jrmCOXg5b3ll+Vo5TnlD+Tq5MPkk+RP4/HjhOMb4sDiaeIS4c/hu+HW4gbiN+Jb4lviIuGz4Srgk9/n3zvexN6Z3oveW94N3dLdv92z3Zvdhd2D3YXdeN1n3WDdWt1D3SPdCtz63O3c5dzq3PDc7Nzn3PTdFd063WHdlN3Q3gTeKN5G3mLedd6B3pbevt7t3xzfUN+V3+zgVODO4UzhtuH84iziX+KZ4tXjFeNd47LkF+SV5Svlw+ZH5q/m/ecw50rnYOeL59ToMOiY6Qjpeunv6nTrEOur7BrsV+yN7OntZ+3i7kLule7875DwQ/Ds8Wvx1/Jj8xnzwvQp9Gv0z/Vt9hb2n/cU95z4O/jP+Tr5dvmR+ZX5ivl9+Yv51vpp+x77tPv+/AL76Pvh/Cz9Bv5wABEBbwJXAvkDmARDBOYFewYNBpoHBwdHB3EHpwfyCEQIjQjOCRAJVgmXCdEKCgpFCoMKuQroCxgLUwuYC+AMJgxtDLcM/w1EDYsN3A4xDn0Ovw8BD0wPmQ/dEBQQRxCBELwQ7RETET0RfBHJEgUSHRInEkISZhJyEmcSghLsE3MTrRN1EyMTJROAE98UBxQXFEAUdRR/FFgUQRR4FOoVUxWFFYsViBWEFXQVWBU8FSkVHhUfFSwVPBU+FSsVChTlFMEUoxSRFIYUcxRTFBoTkxJxELMO2w2mDXsOOg+CEQQSgxO4FGQUghRjFH8VNRZ7F+UY+RmOGdUaDBo/GmgakhrPGxQbRhtiG3kbihuEG18bMRsgGzsbeRvDHAMcOxx2HLIc4Bz8HSEdaR3NHjserB8fH4Afth/NH+cgDSAoIC8gNCAyH/0fdB6tHdcdABwqG38bPhtxG8gb4BufG0wbRhuwHFEc3R1HHcYegh9NH8UfsB8kHkcdHRuhGfsYjBegFzYXBhbCFkgVqRUjFRwV8RekGa0bPRvTG4QawRn0GVMY8RjCGKIYaxgcF9cXqReDF1oXQBdMF3UXmBebF4YXahdSFzUXBxbJFoQWQhYGFc4VoRWAFWAVNBT4FLMUchQ2E/oTuBNyEzMTBRLhErUSfBJDEhUR6RG1EYQRZRFTETYRBRDSEKkQhRBcEC0P/A/ID5QPaA9CDxkO7A7GDqcOiA5lDkQOJw3/DcgNkg1sDVANMA0PDO8MxQySDHcMhwyhDIkMOwv4C+sL7wvGC2oLDQrSCq0Kiwp4CoEKjQp0CiwJ1QmVCW4JTQkmCQEI4gjGCKYIhwhoCEYIIQgDB/EH4QfLB7EHmQd+B2EHWAdyB5QHjQdSBxIG/gcWBzcHTAdTB0sHLQcABtwG0QbWBtQGxQawBp8GkwaNBo4GkgaUBpcGnwawBsUG1gbcBtEGsgaGBl0GRgZDBkoGUAZRBksGNwYSBecFzQXQBeEF6wXeBcQFqgWdBZkFkwWBBWEFOgUWBPkE5QTWBMYEsgSdBJAEjASOBJQEmQSZBJQEkQSZBKMEmwR7BF0EVwRfBGAEUgRGBEEEOQQmBBkEIAQsBCQEBwPtA+ED2APDA6UDiwN5A2IDQAMbAv4C6ALWAsYCuQKtApsCfwJfAkUCNgIvAicCGgIJAfkB7QHjAdoBzAG5AaQBjwF8AWsBWgFGATEBHQEIAO4AzgCsAI8AdwBhAE4APwA0ACwAIQAQ//b/1P+s/4f/av9P/zH/DP7l/sL+pv6M/m/+Tv4q/gb94/3B/aP9iP1w/Vf9P/0p/RX9A/zy/OD8yvyx/Jj8g/xx/GH8U/xG/Df8JPwP+/z76fvV+8D7rPua+4n7ePtk+0v7Mfsb+wz6/fro+s76t/qm+pj6i/qA+nr6dPpp+l/6WPpW+lL6TPpD+jv6NPov+ij6HfoS+g36DPoJ+gH5+/n7+fn57/ni+d355Pnt+fH58vn0+ff5+fn7+f/6BfoM+hP6G/ol+i76M/o2+jv6QvpM+ln6aPp6+o76pPq4+sf60PrV+tz65frt+vL69fr5+vz6/vr/+wP7CfsP+xb7HPsf+x37F/sT+w/7CPr/+vj69frz+u765vre+tb60PrK+sL6t/qr+qP6oPqd+pv6m/qc+pz6mvqa+p76ofqg+p76nfqb+pn6mvqc+p36mfqW+pb6l/qY+pv6oPqn+q36s/q5+r76wvrJ+tf65frw+vr7CPsW+yP7MPtB+1P7ZPt4+5L7rvvI++D7/PwX/DL8UPx1/Jr8uvza/QL9Lf1W/X/9rP3Y/gT+NP5p/pj+vv7m/xf/RP9n/4//wv/r//n//QAA/9X/W/7i/wwAKQHTA0oECgQTA9ED3gSWBbUGgAaIBjUGQAbSB1oHTga/BhYFkgUzBPQE4ATsBQUFJQVcBbEGEwZwBrwG8AcPBysHYAeyCA4IWwiNCK0IxAjcCPUJCAkLCPwI5gjZCNgIzAifCFAH+AenB1QG7waABh8F2AWdBWAFIQTeBI4ELAPCA14C/wKbAikBrgE4ANgAmgBzAFAAJv/z/7T/Yf8A/qj+af49/hP96P3A/Zb9Yv0j/N/8lPxB+/D7tPuK+177JPrk+qr6cfos+dX5dPkd+Nr4pvh4+En4IPgE9+/32/fI97n3rvem96H3nfeZ94/3g/d592/3X/dK9zH3EPbr9s/2xvbH9r72qfaS9n/2YvY99hv2CPX89fP1+vYV9jn2WPZ79rL28fcb9yf3Kvc791r3eveZ98H3+vhE+Jn49fld+c/6Pvqa+uT7Jvtg+4T7kPuh+9r8Pfyk/Ov9Df0e/TH9Tf11/ab91v35/gv+E/4Y/hD95f2R/Sr81vyx/Lf8zPzd/OH83fzW/NL81vzg/Ov89v0D/RT9J/05/Ur9Wv1m/W/9d/2D/Zb9r/3L/eb9/f4T/i3+TP5t/or+pf7C/uT/CP8w/1j/f/+g/77/4AADACUARwBwAKEA0gD4ARkBPAFoAZQBuwHeAgQCNQJyArYC+QMzA2QDkwPEA/UEIgRNBHQElASuBMcE5gUHBSYFQQVcBXYFjQWkBcQF7AYUBjUGUQZtBocGnQa0BtIG8gcHBwoHAQb0BuUG1gbMBsYGwAa1BqYGlgaEBm8GWgZMBkQGPQYzBisGLAYzBjgGNwYvBiQGFwYQBhYGJgY2BkYGWgZ0BosGmgamBrAGsQarBqsGtAaxBpgGfQZ1Bm0GPgX8BeEF6wXLBVgEzwSFBH4EdQRJBBYD+QPlA8YDqAObA5IDfQNjA1QDSQMyAxAC9ALlAtgCygLCAsQCyQLOAtEC0wLQAtEC3wL3Aw4DHQMwA1MDigPTBCMEaQSOBIEESQP5A6sDbgM/AxMC2gKWAlkCOgJBAlsCaAJRAhgB1AGUAVkBIwD1AM8ApABpACX/4/+i/1T+9/6a/kz+D/3Z/af9ff1h/VD9PP0R/Mf8b/wY+8X7cvsl+u/60fq4+pb6b/pU+kj6RPpD+kX6S/pM+jz6F/nr+cv5v/nB+c759/pH+q77Eftd+4r7jvtq+zT7D/r8+uL6s/qJ+nT6Yfou+dr5g/lE+SD5EfkS+RX5Dvjy+Ln4Z/gW9+739/gR+CL4PPhx+Jv4f/ga96T3Q/bj9mb12vVp9Rv01vR79ArzmvNB8wXy0fKM8jHx1vGS8WvxVPFA8SjxCfDs8Nrwz/C+8KnwnPCZ8I/wcvBK8CTwAu/m79Tvye+375zvkO+j78Pv0e/N78/v6/AV8DXwPPA18DjwTfBn8HfwgvCM8ITwXvA/8FzwoPCy8GjwDe/28BHwDu/j78Hvqu9l7v7u2e8d72DvMu697obutO7s7uDuou5a7gjtou1C7QDsy+yE7DXr9Ou/633rLOrl6rDqgOpI6gvpzemM6UXpAujG6InoSegH58rnj+dU5xvm6Oa45ojmW+Yy5gnl2eWo5X/lXuU+5Rfk5OSc5Dnjy+Nn4xPiveJf4hviFeJH4obiruK94q7icOH+4W/g1eAy35ffK97+3ubesN5h3ijeE94D3ebd0N3P3c/dwN2v3a3drN2Z3XvdZt1c3U/dRd1I3VDdT91N3V3dgd2m3cjd9d4x3mvelt623tDe4d7s3wHfJd9N33bfqd/v4EPgoeEK4Xnh1eIT4j/iceKx4vXjOeOB48/kMOSz5VXl+OZ65tXnFedA51PnXud+58LoIeiJ6PPpW+nG6kLq2ut56/rsTuyU7O/tYe3O7ifuc+7Q71Xv/vCp8TLxo/It8uLzjvP79Dr0l/U19eb2dfbr93f4KPjS+Ub5gfme+a35p/mL+XX5kPn1+o77Kvuf+9z76fvi/AT8kP2X/uEAIAEwAiQDDAPdBIsFKwXXBoMHAgdAB1gHege1B/sIOQhvCKoI7QkxCW4JpQngCiYKbQqqCtsLCwtIC5IL4gwxDHoMvQ0BDU0Nog33DkIOgw7DDwsPWw+qD+4QJRBTEIIQtRDnERoRVBGWEc4R7RIDEisSWRJeEjkSLRJ5EvYTPBMmEwETGxNhE4ITcxN8E8sULBRJFBgT4BPmFCgUdhSwFNkU+hUKFQMU7hTdFNkU2RTcFOAU4BTSFLcUmxSBFF8UOhQrFDsUTxQ6E9QTAxG2EBEOiQ2qDbkOjw/JERISLRLzE2MTrRQYFNUV5BcZGDMZARmAGdIaFBpHGnAaoRrkGyIbRBtPG2AbfhuPG4EbXxtKG1kbihvKHAUcOhxtHJkcsRy8HNMdCB1LHYod1B44HqYe9R8kH1Efix+8H80fyB+/H68fjB9LHtQeAxzlG+AbbBufHAccERuIGrcaFRnlGhIaahrcG4IcZR1OHd0d0R0vHC4bAxnXGNkYOxgUGEAYaRhCF6YWqBWMFMsU7BYwGEQaXBu/HCYbwhrzGhwZexkWGLoYQhfCF2sXQxcmFv0W3xbpFxQXPRdRF1gXXBdcF00XKxb2FrUWchY0Ff8V0RWqFYYVYBUvFO4UphRmFDQUAxPEE34TQxMZEvESvhKIEl0SNhIFEc8RpRGFEV8RLxEAENcQrRB+EE8QIg/yD70Pjw9qD0cPHg72DtAOqA5/DmAORw4kDe8Nuw2ZDX8NYA1DDSgM+gyyDHQMawyHDIkMWwwqDB8MIAv3C6ELSwsUCu4KxQqjCpkKmgqGCk0KBQnICZoJbQk7CQwI6wjVCMAIpgiCCFgILggTCAUH9wfhB8oHuAefB3YHUwdVB3IHegdUByEHEAcnB0cHWAdaB1IHOgcVBvIG3QbRBskGwQa3BqUGjgaBBoYGkgaWBpUGnAavBsIGywbKBsEGrQaLBmYGSgY6Bi8GKQYsBjQGMAYTBekFzQXLBdEFxwWsBZEFhAWABXsFbgVaBUEFJQUIBO4E3ATPBL8EqgSWBIcEfgR5BHoEgQSGBIEEdQRuBGsEXwRGBDAELwQ5BDsELwQlBCMEGwQHA/YD+wQKBAkD7gPNA7oDtAOoA5EDdgNeA0cDKgMGAuQCygK3AqQCkAJ6AmQCTAIxAhcCBAH6AfUB6wHcAcwBwgG9AbcBqwGbAYwBfwFxAWIBUgFBAS8BGQD8ANoAtwCaAIQAcwBhAE4APwA2ADAAJwAV//v/2v+4/5f/d/9Z/zn/Ff7v/sr+qv6N/m7+S/4o/gf96P3I/an9i/1w/Vb9O/0g/Qf89Pzm/Nf8xfyv/Jn8hvx2/Gb8V/xI/Dj8JPwP+/v76fvW+8L7r/ue+4/7gPtu+1b7PPso+xv7D/r5+tr6wPqv+qX6nPqT+oz6g/p4+m36Zvpj+l36VPpJ+kD6O/o5+jP6Kfof+hv6G/oZ+hP6EfoU+hX6D/oG+gT6CfoP+hD6DvoP+hD6EfoV+hv6JPos+jP6O/pF+k76U/pV+lj6X/ps+n36jvqg+rL6xPrW+uX68Pr4+v/7BvsN+xH7FPsZ+x37H/sf+yH7Jfsr+zH7N/s4+zP7K/sm+yP7HPsS+wv7CfsI+wP6+vrz+uz65Pra+s76wPq0+q76r/qw+q36qfqm+qX6o/qj+qX6qPqq+qn6pvqk+qH6oPqh+qL6oPqe+pv6mvqb+p/6pfqq+q36sfq4+r/6xfrN+tn65frx+v37CvsW+yH7Lvs/+1D7YPt1+5D7rfvF+9v79fwQ/Cz8TPxx/JT8tfzY/QH9Kv1Q/Xj9p/3V/f7+KP5Z/on+r/7X/wn/Of9d/4H/sP/d//H/9P/x/8r/YP7r/vr/6gF5AvsD3QQAA8EDtgRIBU4GNAaeBsYHHwetB/wHtwcHBkgFrgU7BPME3QTwBRYFSwWWBfQGUgahBt8HDQctB0wHeQe2B/4IRgiICL8I6AkJCSUJOQk3CR8I/gjrCOwI7AjOCIoIMQfXB3sHFAaqBlAGCgXLBYgFQwT7BKcERwPpA5UDPwLaAmYB9AGPAUABDADtANUAsQB0ABf/nf8c/rr+if53/mP+QP4U/eX9r/1x/TH87Pye/Ev8AfvF+4j7Qfr0+qv6aPoh+dL5gPk2+Pf4wfiP+F/4NvgX9/736ffY98r3vfew96j3pfei95n3jveD93f3ZvdT90D3J/cG9u326fb39v/29/bd9rf2h/ZZ9j/2NvYt9iD2IvY+9mb2iPam9tD3Avcl9y/3L/c691T3dPeW98L4AfhQ+Kj5B/lu+eD6UPqu+vf7Nftn+4P7ifuV+8v8LPyT/Nr8+P0C/RP9Ov11/br9+v4n/jf+M/4q/iL+BP25/Uf82/yi/J78sPy//MX8yPzH/MH8vvzC/Mz81fze/Ov8/f0S/SX9Nv1E/U/9Wf1k/XP9iP2j/cL93/34/hP+M/5S/m7+hv6f/rz+3P8B/yv/V/98/5z/vv/iAAQAJwBRAIQAtQDbAP0BJgFTAX4BoAHBAekCHQJeAqYC7QMpA1oDiQO7A+sEFQQ3BFcEcgSJBKMExATrBQ8FLQVKBWcFgwWdBb4F5wYOBisGPwZUBmgGfAaTBrIGzwbdBtkG0AbJBsIGtganBpwGkwaGBnUGZgZYBkoGPQY1BjIGLQYnBiUGLQY4BjwGOAYwBiYGHAYYBh8GLwZABlIGZQZ4BoQGiwaUBpsGmQaRBpMGnAaWBnsGaAZuBmoGLgXcBbYFugWeBTYEugR5BHAEXQQjA+gDzgPHA7cDogOXA5EDgQNpA1cDRwMwAxIC+QLpAtoCzALGAskCzQLOAs4CzgLMAs4C3ALzAwkDGwM2A2gDsQQHBFoEnQTCBL4ElgRVBA8D1QOrA4QDSwL7AqoCfgKIAq8CxgKxAnYCNAH3AbwBgQFOASQA/ADIAJAAWQAd/8r/Yf76/qv+c/5A/gb9zf2j/ZD9hP1h/Rb8rfxA++D7kvtY+zX7IvsQ+vX60fqv+pn6jvqO+pP6l/qN+mf6Jfnd+bD5qfm2+cb55/oy+qj7K/uZ+9r74vux+2b7KfsE+uP6t/qV+ov6h/pl+h75zPmO+W/5Zvlj+VT5NvkO+Nb4ivg6+Af3+vf++AL4Ffg6+Ef4Evex91n3Fva79jb1svVe9Sz07fSQ9CnzzPN58yzy4vKV8kHx7PGm8XnxYfFU8UXxLvEU8P3w6/DX8MPwt/Cw8J7wevBO8CjwBu/m787vvO+h73zvZe9076Lv0u/78CPwTfBs8HXwcPBu8HjwifCc8LPwz/De8Mbwj/Bz8JXwvvCU8CHv1u/58D7wPO/+79jvzO+U7zPvDO9H73jvN+677ojuu+737vbuze6c7lbt8O2M7UftD+zG7HjsOuwH68TrdOsv6vzqy+qP6lHqFenV6Y3pSOkK6M7okOhR6BTn2Oea52HnMecF5trmreZ/5k3mG+Xw5dLlueWX5WjlLeTi5IDkE+Oz42XjEuK24nXieOKy4uvi/eLu4sviiOIb4ZThCeB93/ffkN9a3zrfBN663oHeZ95R3jDeF94S3g/d/t3u3e7d8d3j3cvdvN223avdn92i3bDdud2/3dXd+d4b3jjeY96j3ubfGN8731TfY99q33bfjt+u39TgCOBP4J7g7eFB4Zrh6eIi4k/iheLK4xTjXuOo4/bkUuTS5XfmHuac5uvnHudB50/nU+dt57LoF+iB6OPpQOmk6hrqretL69jsQ+yZ7PLtUe2q7fvuTu617zzv3/CC8QHxZPHe8ozzRfPE9Az0ZvUA9bb2S/a/90r4Bfi++Tn5cPmH+Zn5nvmP+X75jPnK+jP6tfs7+6n76vwG/Cj8ev0F/bv+l/+qAPACNgNCBA4EzQWjBncHEAdaB3UHjQe1B+IICggxCF4IlAjNCQYJQAmDCdIKIwpoCpoKxgr+C0oLnQvqDC8Mcwy/DRENYQ2oDe0ONQ6BDs4PGQ9pD7gP+RAiEEIQbBCjENkRDhFIEYIRsRHaEhESSRJVEioSAxIlEoESyxLiEvQTIxNJEzMTARMME24T2hP5E8gTihN1E40TuhPwFCgUWxR6FIEUfBR8FIUUkBSYFJkUjBRwFE8UNhQmFBIT/BP8FBgULBP8E2gSchEzD9kOuQ4zDnAPQRBKETwR8hJ0Eu0TmBSOFbIWyxe3GHUZEhmTGfMaMRpSGnAaoxrqGykbRxtSG2YbhxugG58biht4G3wblxvAG+4cHxxRHHkcjRyZHLcc7R0gHUEdaB2zHhkecR6sHt0fFB9BH00fPB8iHxkfLh9QHzwenh1zHDYbhRuOG98bzxsTGekY0xgpF/wYLBidGUcaFxriG2gbeRsTGmIZqxkmGOoY9RkxGX8ZsBmZGRcYHxbOFYgU5hVlFvoZDxrjG/gcMxvHGxQabhnoGVUYmRfbF1sXIBb9FtIWshaxFsIWzxbaFvEXFBcyFz0XNhcbFuwWshZ5FkcWEBXTFZgVaRVAFQwUyRSMFGIUQxQTE80ThxNUEyoS+hLJEqQShRJbEiUR7hG7EYoRWhEwEQgQ2BChEHIQShAdD+cPtQ+PD20PRw8eDvUOxw6YDnUOXg5CDhkN8g3YDb0Nmg16DWINOQzqDJMMaAxsDGsMRwwcDAwMCQvrC60LbgtBCxsK7wrDCqQKkgp7ClMKIAnuCcEJkQlbCScJAgjtCN4IxwihCHIIRwgqCBoICAfxB94H1Ae+B4wHVgdGB2EHeAdmBzsHJwc2B1AHXAdaB1IHRAcxBxsHAwbpBtQGyQa/BqoGiwZ5Bn4GjQaSBpEGlwaoBrQGtgazBrAGpgaPBnIGVwY/BicGFgYUBhwGFwX7BdYFwQW8BbIFlgV1BWQFZQVnBVoFRAUvBSEFFAUDBPAE3wTOBLgEoQSMBHwEbQRgBFsEYQRrBGsEXgROBEMEOAQmBBQEDQQRBBIECgQDBAED+gPpA9gD2QPnA+oD0QOoA4oDgQOAA3QDWwM/AyUDCgLnAsECogKNAnsCZAJJAjICHgIIAe8B2AHLAcQBvAGtAZwBkwGRAY4BhAF3AW0BZgFbAU0BPgEyASQBDgDtAMcApQCLAHcAZQBRAD0ALgAoACgAIwAR//X/1/+9/6T/hv9k/0L/Hv75/tP+sv6U/nT+T/4r/gz98P3T/bP9k/12/Vn9O/0c/P785/zX/Mn8uvyo/JX8hvx4/Gn8WvxK/Dj8IvwM+/n76PvW+8L7rvud+477gvty+137Rfsz+yr7IfsM+uz6zvq7+rP6rvqo+qL6mPqN+oP6ffp3+m/6Y/pW+kz6RvpE+j/6N/ot+ij6Jfoh+h36Hvol+in6Jvoi+iT6K/ov+i/6Lfou+i76MPoz+jn6QvpL+lP6W/pl+m76c/p0+nX6ffqO+qP6uPrK+tr66Prz+v/7C/sW+x/7Jfsr+zD7NPs5+z37P/s/+0D7RPtK+1D7UvtQ+0n7Qfs7+zf7Mfsp+yL7IPsd+xb7DfsI+wT6+/rt+tz6zPrA+rr6vfrB+r76t/qy+rD6r/qs+qv6r/qy+rL6sPqu+qz6qvqp+qn6qfqm+qH6nfqe+qP6qvqu+rH6tPq5+sD6yPrT+t/66frz+v77CfsT+x37LPs++1D7YPt0+4/7q/vB+9b77/wM/Cr8Svxs/I38rvzV/QH9KP1L/XP9pP3T/fb+Gf5I/nr+pP7K/vr/K/9S/3T/nv/K/+X/7//x/9P/df78/uX/mQD/AoIDiAPUA6gDkQQDBPoGCAbMB0cHrggFCBIHrQbxBhsFXQTYBKIEtQTvBTQFggXgBkIGmgbiByAHUQd0B5EHsAfZCAwITgiaCN8JDgkrCUAJTwlNCS4JAgjlCOYI9AjqCLIIVgfxB48HMAbUBoAGOAXzBa0FZgUbBMUEaAQTA8cDdAMPAqQCRQH2AbABcwFMATcBHgDiAHP/3f9H/uD+uf63/q7+jP5c/iz9+v2+/Xv9NPzl/JH8QPv3+7H7ZfsU+sT6ePot+eL5mflU+RP42Pik+Hb4T/gt+A739ffl99n3zfe/97T3sPer96T3m/eS94P3bvdb9073Pfcj9wr3B/cY9yr3J/cI9tP2mPZt9l72X/ZY9kX2P/ZZ9ob2rPbF9tz2+PcP9xn3Ifcz91L3dfeY98P4APhT+LP5GPmD+fT6ZfrF+w77Rvtv+4X7i/uZ+8j8Gvxy/LD8z/zf/Pr9LP1z/cT+D/5F/lf+TP45/i7+G/3Y/WL85/yf/JL8m/yd/Jz8ovyp/Kj8oPyg/Kj8sfy4/MH80fzn/P79E/0m/TX9Q/1N/Vj9Z/2A/aH9xP3i/f3+Gf41/k7+Zv5//pn+s/7S/vr/Jf9M/3D/lv+9/+MABgAvAF8AjgC2AN4BDQFAAWwBkAGzAd4CEwJPApIC1QMPA0ADcgOoA9wEBQQkBEEEXgR5BJgEvQTmBQkFJAU9BVgFcwWPBbEF2QX+BhUGIgYvBkAGUwZrBogGoAamBpsGkAaPBpIGjQaBBngGcgZrBmAGVQZOBkcGPwY5BjQGLAYhBh0GIwYqBikGIgYdBhkGFQYVBh4GLwZCBlUGZQZvBnEGcQZ4BoAGfgZ5Bn4GiAaEBm4GZQZxBkIF9QWXBWUFYAVIBPgEmQRlBFcEOgP/A8oDuAO2A6sDmAONA4gDfQNqA1YDQwMrAxMDAALyAuUC2gLXAtsC2wLWAtIC0QLSAtYC4QLzAwYDGwM+A3kDyQQhBHQEuATjBOsEzgSWBFUEHgP5A9sDrANiAxEC4ALlAwsDIgMMAtECjQJOAhABzwGXAW0BSAEcAOoAuAB9AC3/yP9m/xj+4P6r/mz+KP3y/dT9xf2o/WT8/vyP/DP78PvB+6D7ift4+2r7V/s++yP7DvsD+vv66vrF+oX6Mfng+bL5r/m/+c756/o1+rH7Qfu9/Av8Gvvk+4f7M/sD+ur60Pqy+pv6i/pw+kH6AvnK+a75r/my+Zv5afk0+QP4xPhw+CT3+vfu9/P4AfgN9/T3qPdQ9xb26faT9hX1rPV59VX1DfSn9Er0APO081jy+/Kk8lHyAPG/8ZXxf/Fy8WXxU/E88SPxCvDy8NzwzPC88KXwg/Bi8ETwIe/y77zviO9T7yDvBO8X71nvtvAb8HbwtPDH8Lnwq/Cv8L3wxPDL8ObxFfEw8Q/wxfCb8LLwy/CT8Cnv/vA78H3wYvAT7/Lv+u/U73rvTu9876fvbe787sPu2O717vDu4O7R7qHuQ+3f7ZftWO0J7LnsgOxP7A3rv+t860nrFOrX6prqYeog6djpkulV6Rro2+ia6FzoHeff56nnfudW5yrm+ObF5pPmZuZE5i3mE+Xp5bHlceUk5MLkVeP146njXuMP4t7i6uMh40TjNOMH4tXilOIx4bjhQODK4FHf6d+s34rfW98X3tveut6h3oDeZN5a3lXeRN4z3jLeNd4p3hXeC94H3frd7d3y3gneH94x3kvecd6T3rDe3N8d31/fjd+r38Tf19/f3+ff9uAN4C7gYOCk4O3hL+Fy4bvh/+I14mbioeLp4zPjfuPL5BrkcuTn5YHmIuac5uPnDecr5zjnPeda56foEuh66NHpJemL6gnqm+sy67vsLOyL7OLtNO2A7c/uMO6p7znv0/Bf8MbxF/GI8jby+fOH89n0NPTQ9Yv2I/aS9xX3yviD+P75MflH+V75dPmC+ZX5tvnh+hb6ZfrZ+1n7wfwI/EX8fvyk/MH9G/35/1IAxgIEAxAEJAVUBm0HNQejB9sH/ggTCBwIJwg/CGEIhgitCN4JGglcCZ4J2QoKCjQKZQqpCvwLTQuUC9cMJAx/DNYNGg1PDYgN1w4zDoYOyg8PD18Pqg/YD+8QChA3EGgQlBDFEQMRRRGDEcIR+hIHEdwRrBG6EgsSbRK+EwUTQRNMExQS1RLaEyITZBNnEz4THhMaEywTThOBE7sT6RQDFA0UEhQXFB4UJhQtFC0UGxP4E9QTwBPBE8kTzhPXE98TyBNsEscR8hEKECcPdg8zD3oQJBDnEYoSBxKCEzAUMRVuFqIXkRg1GLgZPBm+GiAaTxpfGnEanxriGx0bPxtRG2Mbdht/G3gbahtjG2kbfhugG80cAxw7HGYcexyLHK4c5h0YHTMdTB2AHcweEh5DHmselB61HsAesh6UHn4elB7fHx0e5R4LHOkcGhveG94bghp/GRQXwRbqFqgW2xdaGAEYrxlJGbkZ7RniGbEZixmWGdQaIhphGoMaixpzGiQZehhkFxAV/hW2FnAX7RmmGxMb3BvyG5QbGxqqGiEZYhiTF/UXlxdZFyIW9hbUFqcWcBZOFlsWjBbCFuwXChcWFwgW4xa3FokWThYBFa0VahU7FRIU3hSpFIQUbBRJFBATzhOVE2UTNBMEEt8SwxKgEm8SNBH5Eb4RixFiETsRCBDPEJ0QdRBHEA4P2g+yD48PZg8/DxoO8A7ADpgOfw5qDk4ONQ4jDgsN5A28DaANew0zDNkMlgx2DFwMNgwTDAML+AvYC6cLfAteC0YLKAsBCtYKqQp9ClQKKwoBCdoJsgmGCVgJMgkaCQcI7QjECJUIaghMCDYIIAgIB/oH9QflB7cHggdwB4sHpgeVB2MHQgdKB2YHeAd3B20HYgdaB1AHPAcbBvcG2wbFBqgGiAZ2BnsGiQaOBo0GkwacBp4GmwacBqIGoQaTBn8GbAZWBjkGHwYSBgoF9AXQBbEFqAWnBZYFcwVZBVcFYQVeBUcFLAUbBREFBwT4BOcE1AS9BKMEiwR4BGcEVQRBBDUENwRFBE4ESwQ+BDMEKgQdBAoD+gPzA/MD8APrA+UD3QPQA8ADuwPFA8sDtgOHA1kDQwNDA0IDMAMSAvUC2gK6ApUCdAJfAk8CPAIkAg4B+wHmAc0BtAGkAZwBkgGBAW8BZgFkAWIBWgFPAUgBRAE8AS8BIwEbARAA+wDaALcAlQB0AFMANgAcAAj//P/6AAMACP/+/+X/y/+4/6j/kP9u/0n/JP7+/tn+uP6b/nz+V/4y/hP9+P3b/br9mv19/WD9Qv0h/QD84/zN/Lz8rfyc/Iv8fPxu/GH8U/xD/C/8GPwD+/P75fvV+8L7rvuc+437gft0+2L7Tfs++zj7Mfsf+v/63/rJ+sH6vvq8+rb6rPqi+pr6k/qL+oH6dfpo+l36VvpT+k/6SPpA+jn6M/os+in6Lfo2+jn6N/o2+jz6RfpK+kv6TfpQ+lL6VPpX+lz6Yvpq+nP6e/qD+ov6kfqS+pT6nvqx+sr64Pry+wL7DfsU+xz7J/sz+zz7Q/tJ+077UvtW+1v7Xvte+1/7Y/tq+277bfto+2H7WvtU+1D7SvtC+zv7OPsy+yj7Hvsa+xf7Dfr8+uv63frS+s760PrT+tD6yPrC+sD6vvq6+rf6ufq7+rv6uvq6+rv6u/q5+rj6t/qy+qv6pvql+qr6sfq2+rn6u/q++sT6zfrZ+uX67vr1+v77B/sQ+xv7K/s/+1L7Y/t2+4/7qPu9+9L77PwJ/Cj8SPxo/If8p/zP/Pz9I/1E/Wv9nf3L/ez+DP46/nD+nP6//uj/F/9B/2X/jv+4/9b/5//y/+L/k/8X/tT/PQBjAdoDCQOQA4oDcgPIBKsF0gbTB3kH0AfuB9IHbga7BcoE2QQ+BCgEeQTnBUgFoQYEBmgGxAcZB2gHpAfJB+EH/AgfCEkIgAjDCQAJJAkyCTsJRglFCSoI/AjZCNYI6AjqCLsIYQf7B50HSAb1BqcGXwYdBdsFlgVJBO4EjgQ4A+wDmQM5At4CmQJeAhgBywGRAXYBYgErAL0AKf+X/zT/Df8E/vH+xv6S/mT+Nv37/bP9Zv0X/MX8cvwj+9n7kftG+vj6qPpW+gf5vfl1+TH48fi7+JD4bPhK+Cj4C/f59+334vfX9833xve+97T3rfem95j3gvdt9173Tvc09xr3Evcg9zD3K/cJ9tH2mPZ09m32dPZu9lr2UfZn9pT2uvbN9tL21/bh9vH3C/cu91b3fPee98b4A/hY+L35JfmO+gD6dvrf+y37YfuB+5H7mfus+9f8FfxV/If8rPzO/Pv9N/2A/c/+Gv5S/mn+Xf5H/jz+Lf3u/XD85vyR/H78gvx7/G78bvx5/H78efx2/H38hvyO/Jf8p/y+/Nj88P0H/Rv9LP05/UL9S/1f/X/9pv3H/eP9+/4U/iz+Rv5j/n/+mP6x/tD+9f8b/0L/bP+Z/8H/5gAMADkAZgCRAL4A8wEqAVsBhAGuAd4CEgJKAoYCxAL8Ay0DYAOXA8oD8AQLBCUERQRnBIwEtQTeBP4FEgUjBTYFTgVpBYsFtAXYBe8F+wYIBhkGLAZABlYGaAZqBmAGWgZhBm0GcAZrBmgGagZqBmQGXQZYBlEGSAY+BjQGJgYWBgsGCAYIBgMF/gX+BgIGBwYMBhgGKgY+Bk8GXAZhBl8GXAZfBmUGZQZjBmkGcgZuBl0GVgZaBfIFoAVHBRMFAgTnBK0EbgRLBDgEFwPlA78DtQOzA6UDjwOBA3sDcwNlA1MDPgMnAxMDBwL/AvcC8ALwAvMC7wLlAt4C3gLjAugC8AL8AwwDJQNOA40D2wQsBHoEvgTvBQAE7AS8BIQEVgQ5BCQEBQPQA5EDZQNhA3kDhQNqAy0C4wKdAlcCEAHUAagBhgFiATcBCADSAIwAN//f/5H/UP8T/tL+jf5P/iT+CP3n/a39Wv0A/LX8ffxQ/CX8APvt++378fvn+8j7oft9+1b7Ifra+of6NPnx+c/5zfnZ+eb6BPpK+rv7Pvu6/B38Sfwi+7L7Nvrv+uf68fri+rP6ffpa+kX6KPn++d752/nj+dD5n/lu+Uj5Dviu+Ef4B/f8+Ar4FvgJ99H3dvcg9uv2vPZr9gj1yPWy9Yz1LvS69GL0JPPZ83bzD/K18mLyF/Hf8b/xqfGT8X7xbvFe8UjxLfEQ8Pbw4fDO8Ljwn/CG8GrwPe/6763vaO8u7wHu6O7w7yfvjPAU8Jzw9vEL8PPw4PDn8Pbw9vD28RXxVPF98V3xCPDK8M7w4PC78HPwXvCQ8K/wevAq8BfwL/AW78Tvl++77+bvxO9s7yzvEu777uTu6O767uTumO4+7fTtqu1S7QDsyeya7FvsEOvQ65vrYusl6uvqsepu6iPp4emm6WvpKejn6Knoa+gv5/vn0ueo53XnPucN5uTmwOag5oPmYeYy5ffltOVj5P7kkeQx4+bjo+Nm40njY+OW46XjeuM34vziveJh4e/hgOEV4KLgOd/439nfs99y3zLfDN7z3tXeud6s3qbemN6I3oHeft5x3l7eVN5O3j7eLd4z3lHecN6K3qne1N783yDfTt+J377f3N/w4AzgK+BB4EzgVuBk4H7gquDo4SvhZ+Gg4d3iGuJP4oPiwuMK41LjmePm5Dbkh+Tt5XXmCeZ85r7m4ub95w3nGudD55zoEOhz6L/pDul96gnqnusp66LsC+xp7MDtE+1h7bbuIO6j7zHvuPAm8Hrw0PFT8g/y0fNY86f0B/Ss9W/2B/Zv9uP3h/gv+J/40fjv+RP5Pflr+an57vob+ir6RPqM+vf7YPu8/Bb8WPxZ/CL8FvyY/ab+6QAjAW8C+gSpBiUHMgfdCEwIiwiUCHgIYwhuCJAIsgjUCQcJSQmGCaYJrAmtCcMJ+ApICp0K5wsoC24LxQwkDHgMtAzjDRsNbg3QDicOZQ6bDuIPMA9rD4kPog/HD/EQFBA7EHYQvhEAETIRTxFFERIQ4xD2EVgR4RJkEtQTIBMtEwAS0BLLEt8S2BKuEpASmRK6EtkS/RMxE2cTixObE6YTsBOxE6kTohOhE54TjhNuE04TRRNXE3UThRN8E1gTFBKtEjARtBE/EM8QcxBUEIwRBBGKEgASdRMRE/EVDxZAF0oYDBiSGQYZfhntGjgaWBphGnIamxrVGwsbMhtIG1IbUBtDGzQbLhs1G0gbZRuLG78b+xw1HF8ccxyCHKMc1x0JHSsdRx1sHZYduh3VHfEeEB4rHj4eQh4rHgId9x44Hqge4B6SHeMdQxzuHKMb6BqLGNkXWxZyFiwWZRbvF58YUBjkGVQZoxnVGfQaHBphGr4bERs+G0AbJBr2GrcaThmcGJ8XkxbeFs8XdhikGfYa9hteG0kbERrpGrMaRRmqGRQYoBhEF/kXtxdnFvAWZRX/FeUWBxY/FnwWvBbwFwkXAxbrFskWlRZLFfMVoBVfFSsU+RTFFJgUeBRdFDsUEhPoE70TjBNYEykTARLWEqQSbRI0EfcRvhGQEWkROhEEENAQoBBqEDAP/w/ZD7MPhw9eDz0PGg7vDsgOsA6dDocOcg5lDlMOMw4KDecNvw2CDTQM6gyuDH0MXAxQDEwMMAv2C7oLmguVC5cLkQt2Cz8K8wqpCnAKRAoaCfQJ1gm6CZcJcglTCTgJFgjrCL0Ilwh6CGEISAgzCCcIIggUB/EHywfDB90H7gfPB40HXAdbB3sHmAegB5gHiweAB3gHaAdIBxwG7wbHBqQGhwZ6Bn4GiAaOBpEGlgaVBosGgwaIBpUGmgaUBo0GhwZ2BlcGNwYgBgcF3gWvBZcFnAWhBYwFaQVZBWMFawVbBToFIQUXBQ4E+gThBMsEtgSfBIgEdQRmBFUEPwQpBBgEFQQhBDMEOwQ1BCoEIQQWBAMD7APeA90D3QPXA80DxAO6A6sDoAOjA6oDnANuAzMDCwMCAwUC/ALjAsQCpwKKAmsCTQI3AigCGQIHAfMB3gHGAawBlQGEAXoBbQFaAUgBPgE7ATkBMQEpASQBIAEZARABCAEBAPUA3wDBAKAAfQBYADEAEf/9/+//4f/Z/9z/4//h/9D/u/+s/6H/jv9v/0n/Iv78/tj+uP6d/n/+W/43/hb99/3Y/bj9mv1//WT9R/0o/Qj86PzM/Lj8pvyT/ID8bfxf/FL8RPwz/B/8Cfv2++j73fvR+8D7rvuc+437gPt0+2X7VftK+0X7Pvss+w767vrZ+tD6z/rN+sb6vfq0+qz6pfqc+pH6hfp5+m/6aPpl+mP6X/pZ+lL6SvpC+j/6RPpL+kz6SfpJ+lH6Wfpg+mX6a/px+nb6evp++oL6hvqN+pf6oPqm+qr6rvqx+rX6wvrX+u/7AvsT+yP7MPs5+0D7SftT+1v7Yvtp+277cPtz+3j7fft9+337gfuG+4f7hPuA+3v7dftw+2v7ZPtb+1P7TvtI+z37Mvsr+yb7G/sK+vr67/rn+uP65Prl+uL62frR+s76zPrI+sb6xvrH+sX6xPrG+sv6zfrM+sr6x/rB+rn6svqx+rT6ufq++sL6xPrH+sz61Pre+un68fr5+wL7C/sV+yH7MftF+1f7aPt7+5H7pvu7+9L77vwM/Cr8SPxn/IX8pfzM/Pf9Hv0+/WP9kf2//eL+BP4y/mf+kv6z/tb/Af8u/1j/hf+w/87/3v/s/+r/tP9E/uD++f/JARkCYgMrA2QDaAO0BIIFpAa3B24Huwe/B50HTgapBZ0EcwOxA6YEJQS9BTIFjgXvBlcGwgcxB5wH6AgOCCMIQwhvCJ0IyAjyCRYJKAktCTEJOQk5CSUJAAjeCNII1gjRCKcIWQgAB6wHXAcLBr8GgQZNBhcF1AV+BRcErQRPA/8DrwNeAxsC7QK/AnkCIQHZAbIBlQFcAPgAegAC/6z/e/9c/zT+/v7H/pn+bP4w/eX9lv1I/Pj8o/xQ/AT7v/t8+zL63/qH+jL54vmZ+VP5Evja+K74ivhp+En4LfgX+Af3+vfv9+f34PfV98j3v/e596/3nfeH93P3XPc89x/3EvcX9x33E/b09sf2mvZ+9nX2dvZu9l72VvZo9oz2rfa59rH2p/ar9sn2+fcv92D3ifer99T4Evhp+M35MPmU+gX6g/r3+0z7fPuS+537qvvC++n8F/xF/HH8ofzZ/Rn9Xf2g/eH+H/5U/nD+bv5f/lf+Rv39/Wz8yvxl/E/8XPxa/Ej8PvxD/Ev8TPxN/FL8XPxn/HX8iPyf/Lj80fzp/QD9FP0j/Sz9Mf1A/V79hP2o/cT93P3z/gz+J/5H/mf+g/6a/rP+z/7w/xf/Rf91/6L/yv/zACAATwB8AKsA4AEXAUoBeQGpAdwCEAJGAoECvQL2AycDVwOIA7QD0wPoA/0EGQQ9BGYEkQS7BNsE7QT4BQUFGQU1BVkFggWmBb8F0gXmBfwGDQYbBikGOAZABkEGRQZTBmQGawZpBmgGawZsBmcGXQZTBkgGOgYtBiIGFgYHBfoF8wXvBeoF6AXsBfcGAgYNBhoGKAY1BkAGSQZOBk0GSgZKBkwGTQZOBlIGUwZKBjoGLQYeBaAFWQUcBPUE1ASoBHQETQQ5BCMD/gPVA70DtgOvA50DiAN6A3MDbANiA1MDPwMpAxoDFAMRAwwDCAMIAwgDAgL5AvIC8QL2AvwDBAMPAx8DOQNlA6ID6AQvBHMEsQTfBPQE6QTJBKUEigR4BGsEWAQ5BBMD9APoA+0D6gPJA4kDOALnApoCUAIRAeIBvgGdAXkBUQEiAOkApABXAAj/u/91/zT+8v6y/nv+T/4l/fL9tP12/T/9Dfza/KT8d/xk/G38gfyB/F78I/vd+4/7NfrV+n76N/oI+fT5+PoI+hz6O/p0+sT7IvuS/BD8bPxi+937Kvq6+r/7A/si+u/6jvpJ+jr6Pfoq+gf58vnu+d75v/ml+ZP5X/j3+Ib4SPhF+FP4S/gh99f3evcf9tX2j/Y/9f315fXe9a31QfTN9H70QvPu84DzFvK+8m/yKvH88eTxzPGr8Y7xgPF68WzxUvEy8RXw/fDq8NbwvPCa8G7wNu/278Hvp++j75/vi+9t72PvkvAF8JrxDfE28SfxFfEb8SnxKfEo8Ufxh/G58abxV/EN8PrxBvD48M7wu/DJ8MTwifBM8EfwX/BK8AXv3+/78B/wDu/T75bvXO8a7u7u9u8X7xfu4+6e7lruCO2n7VTtHuzv7LDsaewq6/HrtOt460LrB+q+6m/qLun36bzpeek46P3owuiI6FToKOf357/niudh50LnIeb75tPmq+Z+5kXl/OWi5Tnkz+R05Czj7eO7467j0eQD5Anj0+OH40XjAuKj4i/hwOFY4OrghOBE4CfgBN/G34bfYN9K3y7fEd8D3v/e897g3tPey9673qbemd6N3njeY95m3oPepN7A3uTfFt9K33bfpN/U3/XgAuAQ4DPgY+CH4JfgnOCk4Lfg3uEa4VvhlOHI4gDiOuJu4qLi4eMp427js+P95ErkluTv5Wbl7OZW5pLmsebJ5t7m9uct55ToDuhv6LTpA+l56gvqm+sZ64br5+w/7JXs7+1L7a7uHe6a7xnvhe/Z8CrwnfFK8hvy0PM9833z4PSQ9Vj17vZN9rL3QffU+Db4afiU+M35CvlQ+a36EfpO+lH6Rvph+qH66fs2+5f78fwJ+9j7rPvc/G/9Nv4s/4YBXQNoBTAGfwdyCCoInAiyCIcIYQhqCJYIxgj5CUAJlwnXCeAJuwmRCY0JugoBCkYKggrBCxELaAu2C/UMMQxxDLYNBA1bDawN5w4PDj8OhQ7ODwkPNw9kD40Pqg/HD/QQLBBWEGMQUxAmD+YPuQ/SED0Q0hFjEd4SPBJuEnkSfBKIEoESThILEfQSFxJJEmsShhKxEuITBBMZEzMTThNXE0kTMxMnEyETFBL5Et8S2hLuEwQS/BLNEokSShIZEfQR1RGwEX0RShE5EWMRuxIhEosTEhPRFMUVzxbIF5sYRxjWGVMZvRoJGjYaShpWGmkajRrAGvYbIRs5GzsbLxsgGxkbHxswG0obaBuOG74b9BwlHEYcWRxrHIwcvBzsHRUdOh1YHWkdbh12HYodpB28Hdcd7B3gHaodfR2dHhMekB69Hpwech5fHh0dPhulGbEX+hbdFmQWahbTF4QYUxkOGZwZ/ho9GmUaihq/GwobXBudG7kbpRtmGxEasxpDGbAY+xhLF9cX1RhbGT0aERp/Go0ajxq4Guka4RqUGiIZrxlJGPYYqhhBF6EW5BZHFfMV4xX9FjMWexbBFvkXHBcoFxkW7xaxFmYWEBW3FWcVIhTiFKUUdhReFFYUTxRDFCwUBRPQE5QTVRMUEtYSnRJnEi0R8hG/EZURbBE6EQMQyRCLEFEQIxAAD9oPrQ+CD18PPA8VDvQO4g7SDroOoA6QDocOdA5VDjAOBA3PDZENTA0DDMMMqwy9DMkMnAxBC/QL4Qv3DBAMEgvyC6sLSArqCqcKdwpKCiAKBAnvCdMJrQmICWcJQgkYCO4IzgizCJsIhAhvCGAIVAhCCCQICggGCBkIHgf2B7AHdwdrB4IHoAezB7YHrQedB4wHewdfBzUHAwbUBq8GlgaKBogGiwaRBpsGowacBocGdwZ6BocGkQaUBpoGngaQBm8GTQYxBg4F2gWqBZsFqAWpBYkFYgVbBW4FcQVQBSMFDQUMBQUE6QTGBKkElASBBHIEaARbBEYELQQYBAsEBgQOBCAELAQoBBgECQP/A+8D2gPLA8gDxwPAA7QDrQOnA5oDiwOFA4oDhgNjAygC8gLWAtICzgK9Ap8CgAJmAk0CMwIaAgcB+AHrAdgBwQGmAYwBdwFmAVgBRwE0ASQBGwEYARUBEAELAQYBAAD5APIA7ADjANMAuQCcAIAAaABVAEkARgBGADsAHf/2/9f/yf/E/7n/qv+c/5H/gv9n/0P/Gv70/tH+s/6Y/nr+V/4z/hH97v3L/av9kv17/WL9Rv0q/Q788fzV/L38qfyU/Hz8ZvxU/Eb8OPwn/BL7/vvs+9770/vI+7r7q/uc+4z7f/tz+2j7XvtW+0/7Rfsy+xf6/Prp+uH63/rc+tb6zfrF+r/6t/qs+qD6lfqK+oD6evp5+nr6ePp1+nH6a/pk+mD6Yvpl+mX6Yfpi+mj6bvp0+nv6hvqO+pX6m/qj+qj6rPqz+r76yfrO+tD60vrV+tz66/sA+xX7Jfsz+0P7Uvte+2b7b/t3+377hPuL+5D7kPuQ+5X7nPue+537nfug+6D7nfuZ+5b7kfuM+4b7f/t1+2v7Y/te+1X7SvtB+zf7KvsY+wf6+/rz+u/67vru+ur64frY+tP60frP+tD60frR+s76zfrR+tf62vrZ+tb60frK+sL6vfq9+sD6w/rF+sj6zPrR+tb63frj+uv69fr/+wr7Ffsh+y77PftO+1/7cfuD+5f7q/vB+9r79/wV/C/8Svxo/If8qPzL/PP9Gf07/V39hv2y/dn9/v4o/lf+gv6m/sr+9P8g/0//gP+v/87/3P/m/+z/0v9+/xH+5f9VAGEBpgKjAyMDYQPDBIMFhgaIB0gHqAe6B6AHXgbCBaUETwNdAz0DxQR0BPkFWgW7BiUGnAchB6UICAg3CE4IcgioCN0JAgkYCSYJLgk3CUIJSQlECTMJGgj/COgI0wi3CIwITwgKB8EHcAcaBtAGoQaCBloGFgWzBTwEwwRbBAkDxQOLA18DQAMbAtoChgI8AggB1wGPATAAyQBtACL/5P+u/3f/Pf8J/tr+qP5q/h/90P2A/Sz81fx//DH76/un+1/7DPqz+lv6CPm++Xr5O/kC+NH4qPiG+Gr4UPg4+CL4EPgD9/z39vfr99730vfK98L3tvel9433bvdJ9yr3GPcR9wr2/Pbm9sz2sPaX9oX2ePZq9lr2U/Zf9nr2lfae9pD2f/aF9rD29Pc793T3oPfI9/f4N/iL+On5RPmj+hT6lPsJ+1v7hvuZ+6X7tvvQ+/L8F/w+/G38rfz4/UT9iP29/er+F/5E/mf+dP5z/nH+XP4G/WH8pvws/BP8Lvw+/DL8H/wa/B/8Jvwr/DD8OfxI/F78dPyI/Jz8s/zO/Oj8//0P/Rb9G/0p/UT9aP2K/ab9vf3U/ez+B/4m/kj+Z/6B/pf+r/7M/vH/H/9R/4P/s//kABYARwB2AKUA1gEJATwBbQGfAdECBAI5AnICrQLlAxYDQQNrA5ADrAO+A88D5wQIBDAEXASHBKoEwATMBNkE8AUSBToFYwWFBaAFuAXSBewF/QYGBg8GHwYvBjwGRwZWBmQGaQZlBmEGXgZaBlAGQgY0BiUGFQYKBgQGAAX7BfMF7QXpBeYF5gXsBfkGCAYVBh8GJQYnBikGLQYzBjYGNQYyBjEGNAY4BjkGMQYjBhEF+wXZBWkFOQUjBQ8E4ASYBFsEPQQxBBoD8wPPA70DtAOmA5MDhAN6A3MDbANjA1cDRgM0AykDJgMlAyIDHgMcAxoDFgMQAwwDCgMLAxADGQMmAzcDUQN5A68D7AQpBGAEkAS0BMgEygTDBL0EvQS9BLUEpgSRBHsEZwRYBE8EQAQcA9oDhQMrAtgCkgJXAiUB+gHVAbQBkgFrATsBAQC9AG8AHv/S/4//T/8P/tL+m/5p/jj+CP3b/a39e/1D/Qz84PzN/NX86vzv/M38g/wg+7H7Qfrd+ov6T/op+h/6M/pX+nz6nfq9+t/7Dvtn+/H8cfyA++77CPpq+nP68/te+0z6z/pP+hr6I/ou+h76Afnn+c75vfnB+cr5qvlV+P341PjR+L74fvgo99T3gPcm9sf2a/Ye9fP17PXh9ab1QvTl9Kj0aPQC84PzFPK98nLyNPIO8frx4PG78Z3xlPGW8Y7xePFa8T3xJfEQ8PbwzvCX8FjwHu//8A/wTfCa8MTwqfBV7/zv3PAZ8JnxF/Fb8WTxWfFc8WjxavFm8XPxn/HO8dHxmvFQ8SrxLfEz8SHxBfDw8NTwqfCH8IbwjPBx8EDwKfA48ETwLfAD79nvoO9U7xrvE+8q7zDvF+7w7rvubO4M7brtge1L7QnsxeyG7EfsBevM653rY+sS6r7qfOpG6gzpyemL6VLpGejf6KroeehG6A/n4Oe/56LnfedR5yXm/+bW5pzmSeXi5XblFeTH5IXkSOQY5A3kLeRX5FnkI+PV44zjP+La4mPh9OGS4S7g0OCS4HLgUOAX39/fvt+p343fbt9f31rfS98z3yDfFN8C3ure2N7I3q/elt6T3qreyd7l3w3fRt+D37Xf3N/94A/gE+Ai4EzgheCv4MDgwuDG4Nbg/uE94YDhueHs4iLiXOKQ4sPjAONG44rjzeQV5F7kpuT55Wjl5OZE5nfmj+an5sDm4ecj55XoFuh26LbpAel06f/qger262PrxuwY7Gfsxe017avuHu6P7vjvS++P7+Xwd/FJ8ibyyvMd81LzuvRu9TL1v/YU9m727fdv98j3//g6+If41/kr+Zj6Dvpd+mn6VvpX+nT6lvrD+xD7bvuo+6f7lPui+9j8K/zE/en/owGYA1cEugXiBuQHoAfzB/UH7QgNCE8IlgjhCT4Jqgn8Cg4J6Am5Ca0Jygn3Ch8KTQqZCvsLTgt7C5sL2Qw0DIgMwAzzDTANaA2CDZANug4HDl4OqA7iDw4PKg8/D1oPdg9+D2gPPQ8HDswOpQ64DwwPfg/pEEcQpBD7EUYRixHJEeURyhGYEYkRrhHfEfkSBRIeEkMSZRKHErYS7RMNEwoS8hLdEtESwBKjEoESbxJtEmISMxHnEakRoxHQEgcSIhIVEewRxRG/EesSOxKdEw8TqhR7FWwWUxcYF78YXBj1GXcZ0hoHGiYaOhpJGlYabxqdGtcbBBsXGxQbDRsOGxkbKRs8G1EbahuJG68b1xv8HBccKxxFHG4cnxzOHPsdJh1FHU4dRR1CHU0dXR1tHYUdnx2aHWUdKx00HZUeFR50HrUfDB97H6Ae/x11G2wZghgeF00W+hccF6sYfhlUGf4abRqnGrgasxq1GtcbHht6G8kb5Bu9G2YbBBqqGlYZ+BmMGSAY2BjjGUAZshnzGgcaLRqIGu0bGhr4GqMaOhnVGYQZQhjvGHAXzBcoFqMWTRYuFj0WYhaMFsEXChdNF2EXPhcAFr0WbBYJFaYVVBUMFMYUjRRyFHMUfhSDFHsUYRQyE/QTrBNeExIS0RKbEmcSMBH8EdERqBF3ETsQ+RC4EHsQSRAiD/wP1A+sD4cPYA86Dx8PEA8BDucOyg63Dq8OpQ6PDmwOQA4QDeINqQ1cDREM9g0SDScM9QyODEQMRAxrDH4MZwwvC9sLdQsZCtsKsQqFClYKNAodCgMJ3Qm3CZYJdQlPCSsJDgj2CN8IyAixCJoIgghnCEkILwgkCCYIIAgBB9AHpweVB5YHoge1B8cHzAe9B6IHhwdsB0kHHwb1BtMGuwasBp8GlgaXBqUGsgasBpMGewZ0BnsGhQaRBqEGqQaaBncGVQY6BhYF4QW1Ba4FuwWuBXsFTQVQBXEFdQVGBQgE7ATxBPIE2wS3BJcEfwRrBF4EVQRDBCgEDAP+A/oD+gQABAwEFAQLA/UD4wPcA9UDxwO4A7IDrwOoA54DmQOYA5ADgAN0A3IDcwNiAzgC/wLOArMCqQKeAocCaAJMAjYCHwIDAeoB2QHMAbsBoQGFAWwBWAFGATMBHgELAP8A+QD3APUA9ADyAO0A5ADaANIAygC9AKgAjABwAF8AYgB+AKgAzQDYAL8AggAw/+f/uf+m/5//l/+M/4D/cv9b/zr/Ev7r/sn+rP6P/m7+S/4o/gb94P27/Z39iP10/Vv9Pv0k/Q789vze/Mf8svyb/IH8aPxT/EP8M/wj/BD7/fvs+937z/vC+7X7qPua+4v7fPty+2r7Zftf+1b7R/s0+x77Cvr7+vP67/rq+uT63PrW+tL6yvq/+rL6p/qb+pL6jvqP+pH6kfqP+o/6jfqH+oL6gvqE+oP6gfqB+oT6hvqJ+pH6nfqn+q76tvrB+sn6zfrU+uL67/r3+vr6/fsC+wv7Gvst+z/7TPtY+2f7dfuB+4r7lPuc+6H7pvus+7D7r/uu+7T7vfvA+737vPu9+7z7ufu2+7T7rvum+5/7mfuP+4L7d/tx+2r7YftX+037Pfso+xH6//rz+uz66frn+uP63frX+tP60frR+tP61vrX+tX61PrZ+t763/re+tv61vrP+sj6xvrI+sz6zvrP+tD60/ra+uH65/rr+vL6/PsJ+xT7H/ss+zr7SftZ+2n7evuN+6H7t/vO++j8Bfwg/Dj8Tvxp/In8qfzK/O39Ev02/Vj9fP2k/c/99v4c/kP+bP6Y/sT+7/8a/0b/d/+n/83/4P/q//H/6v+z/0v+8v8P/9EA/AISAs4DTAPTBIcFXgZDBxUHqQfhB8gHeQbcBc0EdgNpAyQDlgREBM8FMAWKBe0GYAbsB4UIBghQCHEIkQjCCPcJHAksCTIJPglXCXMJfAltCVQJQAkvCRMI6Qi4CIUIUggcB9sHiwc0Bu0GxgazBpQGUAXlBWIE3QRsBBsD5gPBA6YDkANwAzsC9QKxAnMCLQHTAXABEwDFAH0AN//0/7f/gf9O/xr+4v6i/lr+Cv21/Vv9APyr/F38FfvP+4f7Ofrl+o/6Ovnr+ab5aPkx+Pz4zvio+Iv4c/hb+EL4Lvgf+Bf4EfgJ9/337vfh99j30vfE96n3gvdZ9zj3I/cS9wD28fbo9uD20va89qX2j/Z69mn2YPZn9n32lvag9pT2gfaJ9rv3CfdV95T3yPf7+DL4c/jA+Rb5b/nR+kD6t/sc+1/7hPuc+7D7xvve+/r8HPxG/H78yP0a/WX9nf3C/dz9+v4g/kb+Xv5o/mv+Vv4C/V78m/wS++z8CPwl/CP8D/wC/AL8CfwN/A/8F/wr/En8Y/x0/IL8l/y2/Nb87/z9/QP9Cv0a/TX9VP1x/Yj9nf2z/cv95v4D/iP+Q/5g/nj+j/6q/s7++f8q/17/lf/OAAUAOABnAJUAwwDzASUBWAGJAboB6gIdAlICiQK9Au0DGAM+A2IDgQOZA64DxgPmBAsEMgRbBIAEnAStBMEE4QUQBUEFawWLBaMFuwXUBesF+gX/BgYGFAYnBjYGQAZIBk8GTwZJBkAGOAYwBiQGFgYIBfsF7wXnBecF7AXuBewF5gXiBd8F4AXnBfQGBAYSBhkGFwYSBg8GEAYWBhwGHQYaBhgGGwYhBh8GEgYBBfAF1gWmBUMFKAUxBS8E9wSZBE4EMAQnBBED7QPQA8EDtAOgA44DgwN8A3UDbQNmA10DUANEAz0DOgM3AzMDMAMwAy8DLgMsAysDKgMpAy0DNQNCA1EDZwOHA7MD5gQYBEEEYQR5BIwEnwS1BNIE8gUIBQkE9gTbBMIErwSeBI8EegRWBBgDwANeAwgCyAKYAm0CPgIRAewBzwGuAYMBTQEOAMUAdwAr/+X/of9f/yL+6v62/oX+Wf4v/gD9yf2R/WH9O/0g/Rj9If0o/RD8xvxU+9T7YfsG+r76gvpa+lz6i/rN+wH7Gvse+xn7Ivtc+9L8Tfxi+9L63foj+iH6w/t1+6H7Jfpo+ej50vn3+hX6DPnk+bf5ovm3+d756PnI+aH5j/l0+R/4lfgP97P3cPcl9sf2afYi9f317fXQ9ZH1P/T/9ND0ifQT84vzGfLC8nryQfIh8g7x9PHR8bjxsvGz8a3xnPGI8XLxWfE+8Rrw5/Cl8GLwNPA78IvxD/GJ8bLxcvDu8G7wL/BM8LPxLvGG8ajxqPGn8avxqvGa8YrxlfG78dbxvfF68UTxRPFi8W3xUfEj8Pvw4/DX8NHwwPCf8IPwffB/8GfwNvAN7/bv1++c717vPu857znvNe8t7xDuz+557ivt6+2p7WHtH+zh7JvsVuwi6/rrwOtr6xLqz+qZ6l7qG+nc6aLpZ+kr6PXoxeiU6GToPOga5/fnzuek54DnXucx5uzmjuYi5brlZOUg5OXkr+SF5HbkhOSZ5JDkW+QO473jZuL94oviI+HJ4XLhIODk4MDgnuBu4EDgJOAN3+3fzd+937Tfn9+B32rfW99H3yzfF98H3u/e1N7M3uDe/t8c30XfgN+93+rgCOAc4CfgLeA/4GvgoODH4Nbg2eDf4PLhHeFf4abh3+IQ4kbigeK34ufjIONi46bj6OQs5HLkuuUQ5X/l9uZM5nPmhOaa5rjm3uco56LoKOiF6Lzo/eln6eTqWerI6zzrpev17Dvsne0h7azuI+6I7t7vIu9d77TwTfEk8fvyk/Lk8yTzlvRF9Pj1dvXD9hX2iPb+91P3kPfY+DT4lPj0+Wf55PpB+mL6Yvpr+oH6k/qo+tX7GvtT+2z7dvuG+537wPwf/PH+N/+pAQACMgNcBIYFiwZCBq8HAQdfB8kILQiKCPAJYgnDCfIJ8AngCeUJ/goVCigKVQq3CzULjQujC6wL7AxbDK8MxAzIDO8NJA0zDR0NHA1TDakN9w4wDlwOfQ6WDqoOtw6yDpoOfw5oDlEOPQ5FDnQOsA7cDwAPNw+KD+oQVhDLES0RVhFKEUARXRGREbURwxHOEeIR+hIZEkwSjxLFEtUSxBKmEokSZRIyEfYRxBGkEYERRREBEOkRIhGVEf8SLxImEgcR9RIEEjsSkhL+E4IULBUAFecWtxdYF9sYXBjhGVYZqhnkGhIaNRpFGkUaURp6GrIa2hrkGt4a3hrtGwIbFBsjGzgbUxtyG5IbsxvSG+scAxwjHFEchBy1HOUdFR05HUUdPh01HTIdMh01HUUdWh1VHSYc9Bz7HUUdpB3zHlIe/x/qIJggbx88HV0bcxnwGPEYahhXGK8ZUhoLGq8bJxtmG2YbNBr0Gswa1BsPG2UbrBvCG6MbYRsVGtMapBp+Gk4aEhnnGeMZ9hoBGgwaPhqcGvkbHhr+Gq0aPxnLGWgZKRkEGOEYpRg8F64XIxbLFqQWgBZQFkUWkhcPF14XVRcXFtIWihYzFdwVlRVaFRoU3hS4FKUUmhSMFHoUXxQ4FAcT0hOVE1ITEBLbEq4SfxJOEiER9BG9EXwROBD3ELkQfhBJEB0P+g/bD7sPlQ9wD1QPQw8xDxoPAw7xDuEOzg63DpYOag49DhgN8A2tDVsNLQ05DUsNIgzLDJYMowzDDLcMfAwwC+ALigs6CwIK3gq2CoYKYApICjEKEQnvCdMJtgmTCW4JTwk2CR8JBgjqCMoIqQiJCGwIUAg4CCUIFQgHB/4H+gfyB98HywfKB94H7wfnB8gHoweCB2IHPwceBwIG7AbYBsMGsAanBq4GuQa3BqMGiQZ5BnUGegaIBpsGogaSBnEGUQY2BhIF4gXABb8FxwWsBWoFOwVJBXoFhgVQBQEE1gTWBOAE1wS7BJoEeARYBD4EKgQSA/MD2gPRA9UD2wPiA+oD6gPcA8YDuwO8A70DtAOlA5oDlQORA4wDigOKA4YDfANuA2EDXQNcA0wDIALfAqYCiwKBAnICVgI5AiMCDAHvAdIBvQGtAZoBgQFnAU8BOwEmAQ8A+ADlANoA1QDUANQA1QDWANEAxgC6AK8AogCQAHgAXQBGAEIAZQCxAQcBOgEwAPMAmgA5/+H/ov+F/4H/gP95/23/YP9O/zH/C/7k/sL+o/6D/mD+O/4a/fr91f2w/ZP9gf1v/VT9Nf0Z/QX88/zf/Mv8tvyg/If8bfxX/EX8NPwj/BL8Avvy++P71PvG+7f7qvuc+4z7fPtw+2v7aPtj+1j7R/s2+yb7GvsQ+wb6/vr4+vL67frp+uX63vrU+sj6vPqw+qb6ovqk+qb6pvqn+qn6qvqn+qH6oPqj+qT6o/qk+qX6o/qi+qn6tfrA+sf6z/ra+uL65vru+vz7DfsZ+yH7Kfsy+z77S/tc+2v7d/uC+477mfug+6n7tPu9+8L7xfvL+8/7z/vP+9T73fvh+9/73fvd+9v71/vU+9L7y/vA+7j7s/ur+577j/uF+337dfts+2H7UPs3+xn7APrx+un65Prf+tr61/rW+tb61frV+tf62vra+tn62/rg+uT65frj+uH63vra+tX61PrW+tr63Prc+tz63frk+uz68vr2+v37CfsV+x77Jvsy+0L7Uvth+3D7gvuV+6r7w/vc+/T8Dvwp/ED8VPxq/Ij8qfzH/OX9Cf0w/VL9cv2X/cP97v4R/jL+W/6L/r3+6/8W/0D/av+X/8P/5f/2//7/+//V/3b/BP7r/3cAhwGqApADQQPkBIYFKwXwBtwHrggKB+EHbQbUBfcE1wPYA3oDyAReBNgFJwVtBcAGKAayB1wIAAhwCKEItQjOCPQJGAkrCTUJTQl8Ca8JwAmoCX8JZQlYCUAJEwjXCJsIZAgwB/YHsAdjBx8G9gbeBrwGeQYPBYsFAgSOBD8EEwP6A+UD0AO2A5ADXAMeAtoCiAImAb8BYgESAMkAfwA4//n/wf+J/03/Dv7N/oj+Ov3h/YT9K/za/I78RPv9+7j7cfsl+tL6evol+dn5mvll+TP5BPjb+Ln4nPiC+Gz4WvhO+ET4Pfg2+Cr4GfgI9/339vfm98H3ivdV9zD3GvcH9vf27vbx9vX28fbi9tD2v/au9p72lfaa9q72x/bV9s32wPbK9vj3PPd/97v3+fg8+ID4wvkH+Vj5tfod+oj66/s1+2T7hfuk+8P73Pvy/A38Mvxh/Jz84/0r/Wn9lP2s/b390/30/hf+Lv44/jr+K/3q/WL8tPwm++f77PwC/Ab7+/vv++778Pvt++n77/wI/C38Tfxg/G78hPyn/Mr84/zu/PP8/P0O/Sf9Qf1W/Wn9fP2S/av9yP3l/gT+Iv5A/ln+cP6J/qv+1P8C/zT/a/+k/9wAEABAAG0AmQDIAPsBMgFmAZgBygH9Ai8CYQKUAsYC8wMcA0MDaAOIA6MDwAPhBAMEJAREBGUEgwScBLoE6AUkBV8FiwWnBb0F0QXiBe8F9gX4BfsGBQYSBhwGHwYfBh8GHAYVBgsGAwX9BfYF7QXjBdoF0wXOBdEF1wXcBdoF0gXMBcoFywXSBd8F8QX9BgAF/AX3BfcF+QX+BgQGCAYHBgQGBQYIBgIF8QXfBdEFtQV/BRoFBwUcBSAE5wSEBDgEGwQTA/4D4QPOA8UDuAOiA48DhQN9A3UDbwNsA2cDXgNWA1EDTQNIA0QDRANHA0kDSQNKA0sDTQNPA1UDXQNmA3MDhAOcA7sD3wQEBCMENwRFBFoEfASuBOsFKgVZBWcFUAUjBPgE2gTGBLUEnwR8BEID6gOAAyIC5gLHAqwCgwJRAikCDQHxAckBkwFVAREAyQB/ADb/7v+r/2//Ov8I/tf+qf57/kf+D/3c/bT9j/1o/Uf9Pv1D/TT88vyA/AH7lvtH+wP6wvqc+rH6//tZ+4z7kPt6+2P7Wvtx+7P7//wF+436uvoH+fD6hftX+8L7b/qX+c/5g/mt+fb6Efns+az5h/mZ+dT6Dfor+jL6IPnZ+Uj4kff495/3a/cw9uP2lPZT9iT1/vXO9Y31SPUO9Nf0h/QU85fzLPLX8pLyYfJG8jHyFfH18d7x1fHP8cjxwfG68azxlPFy8UjxF/Df8KbwhPCg8RHxsfIh8hHxiPDe8GvwU/CI8OrxWPGx8d/x5vHd8dTxy/Gz8ZPxjPGw8dzx1vGQ8UrxR/GC8bLxovFm8TLxIvEl8R3xAPDf8NPw2fDT8KLwWfAl8BbwC+/k76fvb+9O70XvT+9e71fvK+7o7qLuWu4J7bvte+0/7Prss+yA7FjsHOvE62vrJ+rx6rTqb+ot6e7pr+ly6T3pEOjl6Lzol+hv6EPoGOf359zntud65ybmxuZj5gflueV45UPlG+T/5O/k5+Te5MTkjuRC4+zjjuMn4rziXOII4brhceE64Rfg9uDP4Kngi+Bt4EngKeAY4Anf7d/L37Tfpd+P33LfXd9R3z/fJ98h3zffWN9535/f0uAG4CngPuBO4F3gaOB84KDgyeDn4PXg/+EM4SPhT+GQ4dfiD+I84m/iqOLd4w3jQ+OC48PkAuRD5Ibkz+Ur5aDmFeZh5nrmg+aY5rjm5Oc257joP+iS6Lno7elR6cvqOeqi6xXrgevS7Bvsh+0c7bHuJ+6A7s3vD+9I75bwHPDY8ZzyNfKe8v3zffQf9Lr1KPVw9bv2IvaO9uP3Jvd199j4Q/iv+Sf5pPoJ+kX6aPqP+rn61vro+wL7JvtB+0r7TPtY+2/7mvvy/Iz9WP4w/v//0QC+AdAC7QP1BNQFkwZCBuUHcgfoCFYIxwkwCX0JqAnFCeYKCAobCioKXwrWC2oLzgvkC+0MNQyrDPgM9wzlDQgNRw1XDSsNBA0TDUgNfQ2pDdsODQ4zDk0OYA5qDm8Oeg6QDqAOpQ6vDs4O6w7qDtUO0Q71DzgPmhAfEKoQ/xEEEOsQ+xE+EYYRrhG8EcgR1RHmEggSQBJ7EpoSjBJdEh4RzxFsEQEQqhB5EGIQTBA5EEwQoBEbEYgRxxHgEfISDxI8En4S3BNYE/AUpBV0Fk4XCxeXF/kYUBiuGQsZXhmrGfUaLBpAGjwaQBpjGpIasBqzGq4asxrDGtQa5Br6GxwbRhtrG4kboxu8G9Ib6RwHHDEcZByZHM0dAB0qHT8dPx02HSgdGR0THR0dLR0lHPoc1BzeHRcdTx14Hc0emR/QIOchNSB0Hu4dPBvaGvQagxpyGqgbCRuBHAUcfxzKHMUcchvxG2wbBhrZGu4bLhtxG5YbjxtkGzUbHxsmGy8bGxrsGrsalBp4GnMalxraGxYbJxsFGrQaNBmTGPgYlBiFGL8ZAhkAGJcYAReTF08W5xY/FbgVxRZXFu0XJxcQFt8WqRZuFjYWDBXhFaUVYRUjFOkUrBRyFEIUGhPyE9ATvBOpE4YTVRMnEv4S0hKiEnMSRRIMEcYRgBFCEQYQxhCFEFAQKhAOD/MP1Q+2D5kPfg9kD1APQg8zDxkO9g7WDrcOjQ5cDjkOIQ30DaoNbA1dDWINRQ0IDOMM7Qz0DMoMfgw6DAILvQttCywLBArhCrcKkgp7CmoKUgo3Ch4KAgncCbEJigltCVMJNwkVCPAIygirCJIIfAhgCEAIJAggCDoIYAhvCFMIHgf6B/cIAwgCB+sHyQelB4IHYAdDByoHFQcABusG1AbBBrcGtwa1BqkGlgaDBncGcwZ6BoUGiQZ6Bl0GPgYfBfsF1gXDBcsF0QWwBW8FQwVVBYgFmgVmBRAE1wTOBNkE2QTEBKEEdARBBBQD9QPgA88DvwO0A68DsAO4A70DuAOnA5gDlwOhA6YDmwOKA3wDdgN2A3gDdgNzA3EDcANlA00DPANAA0wDNwL0AqYCdgJoAl8CSAIsAhQB/AHeAb8BpQGPAXgBYQFLATcBIQEJAPIA2QDCALMArQCsAK0ArwCwAK0AowCWAIkAeABiAEoAMwAiACYAWgC8ARwBOwEIAKsAUwAM/8r/jv9r/2T/aP9k/1n/TP88/yT/Av7b/rj+mP52/lH+Lv4O/fD9zv2r/ZD9fP1p/U39K/0N/Pj85/zW/MP8sPyc/Ib8cPxc/Ej8Nfwj/BP8Bfv4++z73/vS+8P7tful+5P7f/tw+2j7Zfth+1f7Sfs8+zP7Lvsm+xr7D/sI+wT7APr9+vn69Prr+uD61frJ+r76uPq4+rr6u/q8+sD6w/rA+rz6vfrB+sT6xfrG+sf6xfrC+sb60frc+uP66/rz+vn6/PsE+xT7J/s2+0L7UPtf+277evuI+5T7nvuo+7L7uvu9+8T7z/vb++H75Pvo++377/vw+/T7+/v/+/77/fv8+/f78Pvr++r75PvZ+8/7y/vF+7r7q/ud+5L7ifuB+3b7Y/tH+yb7C/r8+vX67/rm+t/63frg+uL64frg+uH64vrh+t/64vro+u367frs+uz67Prs+uv66vro+uj66frr+uv67frx+vn6//sD+wv7GPsi+yj7Lvs6+0v7W/tq+3j7iPuZ+6/7yvvk+/r8Efwr/ET8WPxt/In8qfzH/OL9BP0s/VD9bv2P/br95/4L/iv+Uv6A/rD+4P8Q/z3/Yv+I/7f/5gADAA0ACv/s/5T/Gv7g/0YARAFzAn0DVgQLBJcFDwW1BqkHmQf/B7kHJgabBgUFOARpBAgENwSoBQIFNwVsBbUGFgabB0sICQicCOII6wjmCPEJCgkhCTQJWAmaCeIKAgnoCbMJigl5CWcJQQkHCMIIfwhCCA8H3QehB2IHLAcDBtcGlAYvBa8FKQS4BG4ERQQsBBMD/APqA9MDrANyAywC3AKAAhwBugFiARUAzACEAD7//P+8/3r/Nv70/rD+Y/4M/bT9Yf0T/Mb8efww++z7p/td+w36ufpj+hX50/me+XD5RPkb+PT40Pix+Jv4jviE+Hr4cPho+F34Svg1+Cj4H/gI99D3f/cz9wL27vbo9uj27/b99wn3CvcF9wH2/vb69vL27fbz9wT3Gvco9yr3KPc091X3gvew9+P4KfiB+Nf5IPlj+a/6C/pw+s/7GvtM+2z7i/ut+8775/v//CD8TvyB/LT85/0b/Ur9b/2J/Zz9sv3P/ez9/f4A/f398f3F/WH80fxG++z7zPvO+9P71fvX+9r72fvQ+8b7y/vk/A38NfxQ/Gb8gPyi/MT82vzj/Oj88v0D/Rb9J/04/Ur9Xv11/ZH9sf3R/e7+C/4m/j7+U/5r/ov+tP7g/w3/Pf9w/6X/2gAOAD4AawCZAM4BCAFBAXcBrgHlAhoCTQKCArkC6wMWAz8DaAOMA6wDywPuBA4EJwQ9BFgEdwSWBLsE8gU0BXAFmQW1BcsF3AXkBeUF5QXlBeYF6gXwBfQF8gXtBekF5QXeBdYF0wXSBdAFywXFBcAFvQW7Bb4FxQXKBcYFvQW3BbcFugXBBc4F3QXmBeMF3QXcBeAF5QXnBe0F9QX5BfUF8QXsBd8FyAWzBaQFiQVTBO4E1wTgBNwEpgRTBBgEBQP9A+gDzwPDA8ADtgOjA5IDhwN+A3gDeAN8A3oDcgNqA2YDYgNcA1oDXQNjA2YDZgNnA2oDbwN3A4EDiwOUA6ADsQPDA9MD5gP+BBcEKAQzBEkEdgS7BQ8FYwWmBcAFpwVrBSsFAQTqBNgEwAScBGUEDwOgAzkC+wLnAt4CwgKTAmkCTgI1Ag8B2gGcAVkBFADLAIIAO//4/73/if9Y/yb+9f7E/pD+W/4u/gr94f2u/X79Zf1g/U79D/yl/DD7z/uF+0L7Bfrt+xz7g/vi/AL76Pu9+5/7jPuA+4L7jvt/+y36n/oX+e76U/sU+6r7m/rn+gr5k/ml+fP6Hfn++br5ifmP+cr6G/pa+mr6OvnG+SL4gPgI98H3jfdU9xP20faS9lX2G/Xi9aT1XPUM9Lf0WvP485rzRPL28rfykPJ58mPyQvIf8gfx+PHu8ejx6vHs8eTxzPGo8YDxWPEr8Pfw0vDy8XbyLPKQ8kPxavCV8DvwZvDQ8T3xmPHd8gPyBvHy8dvxy/G+8bHxu/Ho8hnyDvG28VfxSfGR8dvx3vGi8WnxWfFi8WDxRPEm8R3xJ/Ei8PHwpPBo8FHwR/Am7+jvpe9272nveO+O75Lveu9R7xvuz+5y7hrt2O2h7WHtH+zp7LjsdOwZ68LrgetJ6wnqw+p+6jvp+em96Y3pY+k76RXo8ejF6JLoZehI6Czn+eer51Hm++au5mPmGOXU5aPli+WA5XLlVuUx5Qbk0eSJ5DHj0uNu4wriq+JU4gbhxOGU4XXhWOE24RLg7+DJ4KHggeBs4FbgNeAU4ADf8t/Z373frt+q36Dfj9+P36vf0t/y4BHgOOBf4HrgjeCj4LngyuDZ4O/hCOEc4S3hQOFW4XLhnOHY4hniTOJ14qLi1eMG4zXja+Op4+fkIuRf5J/k6OVH5cHmNeZ45oTmhOaV5rbm5+dC583oU+ia6K/o2+lC6cHqLeqK6vDrWeu07BDsjO0k7bHuGu5u7sDvC+9H74fv7/CH8TXx1/Jh8uPzbPP+9IL04/Uo9W31yPYs9oP2z/ci94j3+fhu+On5Y/nL+hv6Y/qu+vT7JPtD+1/7efuB+3D7U/s/+0b7efvf/Gn89/10/eT+W/7u/60AmQGjAqsDngR+BVEGDwavBzoHvgg+CK0JAglDCXsJqAnDCdsKGQqUCykLlAu7C9kMLAymDPUM/Qz/DTwNkw20DY0NWw1QDWMNgQ2xDf0OSg53DooOnQ64DtYO+A8fD0EPVw9xD5sPvQ+xD30PTg9FD10PlQ/0EGUQphCQEFcQVBCgEQYRShFuEYwRrRHHEeASChJCEmQSURIHEZMRAhBaD7UPPA8ODyEPUg+HD8MQEhByENQRMBGMEeoSQRKLEtgTPxPKFG8VIhXfFp4XRhe+GAkYQRiAGMkZGhlyGckaDBoqGi8aOBpTGnQahxqLGo4amBqmGrQayRrwGyUbWhuAG5YboRutG70b0BvpHA0cPRxzHKwc4x0RHS8dOR0zHSIdDx0GHRAdIR0aHPUc0RzSHO8dAx0KHUweGB9nILUhWyEHH+sejR1jHKscaBx3HKoc5h0vHZceCx5VHkkd5h1MHJUb3xtPGwgbCBsuG1MbZRtoG2obfhujG8IbvhuYG2IbLRr/GuQa6BsGGyYbNhspGukaYxmbGMEYHhfzGEoY3BkrGPUYdxgeF/MXhBaTFYwVHxV7FjMWxRcKFxoXCxbrFs0WsxaGFjkV3RWEFSwUzRR2FDQUARPRE7ATrRO5E7gTnhN5E04TGRLgErESixJdEhkRzhGMEVMRGRDbEJ8QbRBFECcQDg/3D9wPuw+ZD4EPdg9oD0cPHQ79DuUOvw6IDlwOSQ4yDfwNuw2XDY0Ndg1JDScNIA0SDN8MoAx4DFoMHAu9C2gLOAscCvoK1Qq7CqkKlQp9CmQKSAohCfIJxQmhCYEJYAk7CRMI7gjQCL0IsQieCH0IXAhVCHkItgjXCLwIcwgsCAgIAwgDB/sH6AfMB6kHhgdmB0oHMAcZBwUG8AbXBr8GrwanBqIGmQaKBnsGbgZoBmcGYwZWBj0GGwX2BdQFwgXGBdkF3wXDBY0FZQVnBYYFjwVmBR4E5gTUBNcE0QS6BJMEYQQlA+8D0wPZA+4D8gPXA7ADlwOXA5wDkwN/A3MDeQOFA4YDeANlA1cDUgNWA1wDWQNPA0wDUwNQAzMDFAMVAzEDNQMBAq4CcAJYAk0COgIiAgsB8gHTAbMBlgF5AV0BRgE0ASEBCQDwANcAvQChAIwAggCBAIIAgwCFAIMAegBuAGIAUAA5ACMAEQACAAMAMACMAOQA9QC2AF4AJAAC/9X/lv9i/03/Tf9M/0P/Nv8o/xL+8/7P/qz+iv5o/kX+I/4G/er9y/2r/Y79dv1f/UL9IP0A/On81/zH/LX8o/yR/IH8cPxf/Ez8OPwl/BT8Bvv7+/L76fvf+9L7xfu2+6H7iPtz+2b7Yfte+1j7T/tH+0P7Qvs8+zH7Jfsg+x77HPsX+xP7DvsH+v368vrm+tr60vrP+s/60PrR+tX61/rV+tT61vrc+uD64vrk+uj66frn+uj68Pr7+wP7CvsR+xX7Gfsi+zP7RvtV+2P7dPuH+5f7pPuw+7r7wvvK+9L72Pvb++D76/v4+//8A/wH/Az8DvwP/BH8Fvwa/Bv8GvwX/BD8BvwA+/77+vvw++X73vva+9L7xfu3+6r7oPuW+4r7dvtZ+zn7IPsS+wz7Bvr++vX68vrz+vP67/rs+u367/rt+ur66/rw+vT69fr1+vX69/r6+v36/fr5+vX69vr6+v36//sC+wj7DfsR+xn7JPst+zL7OftI+1n7aPt1+4P7kPud+7D7zPvo+/38EPwp/Eb8Xfxw/Iv8rPzL/Ob9B/0u/VP9cP2O/bb94f4G/ij+Tv53/qD+zv8F/zz/ZP+E/7D/5QAKABcAFwAD/7v/Qv7v/ysACQE8AmkDawQ2BL4FHAWhBngHUAehB00GvQZRBfYFcATUBIAEnATtBS0FWAWPBd0GOgawB1IIFAi9CRsJKwkWCQgJEAkmCUEJbQm2CgcKNAolCe8JvQmiCY8Jbgk1COoInAhbCC4ICwffB6IHYQcpBvYGsAZKBcsFSwTlBKQEfgRdBDsEIAQVBAsD7gO3A3EDKALaAn0CFgG2AWQBGwDQAIIAOf/2/7P/bf8l/tr+jP47/ev9n/1R/P/8rfxh/Bj7zft/+zL65/qd+lX6E/nb+av5gPlY+TL5Cvjm+Mv4vfi1+Kv4ofiX+Iv4dvhf+FD4Rfgm9933cfcL9s72wPbP9uf3APcW9yP3J/cr9zX3QPdG90f3SfdT92H3cPd994f3kfee97H3yPfj+BD4YPjM+Tf5i/nL+gv6V/qp+vL7KPtM+2j7hful+8H72fv1/B/8VPyG/Kv8x/zn/RD9Pf1k/YH9mf2w/cf91/3b/df9xv2b/UX8yfxG++D7qfuY+537q/u7+8f7yvvC+7r7vvvU+/j8IPxF/GT8gfyf/Lz80Pzb/OH86/z5/QT9Dv0d/TP9TP1l/YH9ov3D/eD9+v4T/iv+QP5Y/nr+pf7Q/vj/Hv9K/3z/tP/uACYAWACHALsA9AEuAWcBogHfAhgCTQKEAr0C8QMdA0YDcAOWA7cD1gP4BBgELgRABFoEeQSaBMAE8gUtBWEFhgWjBb0FzQXPBckFxgXIBckFygXLBcwFyQXCBbwFtwW0BbEFsQWzBbEFrAWnBaYFqAWrBbEFuQW+BbsFswWuBa8FtAW8BcgF1QXaBdIFxwXEBckFzQXOBdMF3gXmBeMF2QXNBbkFmwWABW4FVQUkBMkEpQSYBIQEUwQZA/oD9gPwA9kDwAO1A7MDqgObA5ADiQODA4IDiQORA5EDiAOAA34DfAN4A3YDewOCA4UDhgOIA4wDkgOcA6wDugPHA9YD6AP1A/oD/wQQBCwEQgRQBGYElwTmBUQFngXiBf4F5gWoBWUFOAUjBRAE8wTKBJIEQQPVA2sDKQMVAxMC/gLTAqkCjAJzAk8CHAHgAZ4BWAEQAMkAhgBGAAv/1f+i/2//Pf8M/tr+qP56/k/+IP3q/bn9mP2C/V/9Hfy8/Fb8APu8+4P7WPtX+5f8AvxV/F/8LPvu+8H7mvtq+zr7F/r6+s/6i/o/+hn6TPrc+3r7rvtJ+pf6GvoL+jf6TPos+fT5y/nJ+fL6M/ph+k356PlV+M34cPg2+AD3vfd09zL29/a39nP2NfYC9cn1d/UH9In0GfPG84fzSvMJ8tXyuPKp8pLyb/JL8jLyJPIb8hnyHPId8hPx//Hj8cDxmPFm8SXw8vEP8aryhfMB8qTxnvCl8E/woPEz8avx7vIP8iDyHvIG8ebx1fHd8fzyLPJl8ojyZ/H78YbxYPGX8eLx9fHN8aLxlvGf8Z3xhPFl8VXxWfFY8Tjw+vC+8JzwhvBh8CLv3++x76Tvru+7773vuO+t74/vSe7g7njuLe337cHthu1P7RPsxuxr7Bnr2Oub61nrFerR6ozqSuoT6ejpv+mW6XHpTuki6OvouOiS6GroK+fZ54fnRecL5srmgeY95hDmAuYA5e7lw+WM5VflIuTf5IvkL+PR42/jC+Ks4lriG+Hx4dXhvOGc4XfhUOEn4P7g2+DA4KLggOBj4FHgQeAo4BDgCeAM4Ajf/+AH4CjgT+Bs4IPgoOC94Nbg7+EP4SzhPOFB4UjhU+Fh4XXhkOGu4c7h+OIv4mfilOK54uHjDuM742rjoePf5BnkUOSI5MTlCuVp5eTmVuaP5pDmheaR5rPm6udP5+DoZeik6LHo2ulE6cXqK+p46s7rNuui7Bbsmu0k7Zjt9O5Q7rnvFe9S74Dvy/BJ8OvxlfI18sjzU/PW9Ef0nvTf9SH1dvXX9jT2ivbl90z3wPg8+Lr5MPmT+ez6S/qx+wr7R/tx+5z7yPvf+9L7pvtx+1T7b/vL/Ez8zP01/Yr91v4m/o3/Iv/jALEBeQJDAxsD9AS6BWoGFQbBB14H2ggzCHQIpgjOCPwJSQnCCkkKsgrtCyMLgwv7DFIMeAyiDQANbg2nDZ4Nhg2EDZQNuQ4JDn8O4A77DuUO2Q7vDxAPLw9QD3cPoA/QEAsQNxAvD/YPuw+jD6YPsQ/KD+sP6w+sD10PTg+YEAUQWxCeEOwRQhGGEbIR3BIMEiYSBRGcEPgQKQ9DDnAN5A3CDgIOeQ72D18PtBAIEG4Q8BGIEh4SnBL/E14T1BRmFQMVnRY1Fs4XWhfCGAMYMxhnGKYY7xlAGZUZ3RoIGhwaLBo/Gk4aVhpdGmwafBqKGp4awRr3GzIbZBuEG5IblBuVG58bsRvLG+4cGhxRHIwcxhz5HRwdLR0sHR8dDR0EHQ8dJh0tHRYc8RzVHMUcrRyXHMUdfh7BIB0g/iEPIGUfYR5mHbwdfB2QHcYd/R4+HpwfAB8yHxQeuB4+Ha4dChxrG/cbrht5G0obNxtTG5Ub3xwRHBwcAxvbG7IbihtfGzQbFhsNGxUbJhsuGwsanhniGP8YNxfYGAYYixjoGMYYWhghGDIYCRc3Ff8VGhT+FYQWQxbqF1IXdRdrF1gXPhcAFpYWIRW+FWgVEhTHFJIUZBQvFAAT8RP8FAIT9BPUE6ATWRMOEtwSyBKwEnkSKhHcEZ4RaxE3EP0QvxCGEFsQPxAqEBIP8Q/ND68Png+ND3EPTQ8zDyMPBA7MDpUOeg5oDkAOAw3UDb4NpQ18DVYNQg0sDQMM2QzIDLcMegwTC7MLfwtmC0YLGgr2Ct4KyQqyCpkKfwpcCjEKBAndCbcJkAlnCUAJHwkECPMI7QjlCM8IrgieCLYI6gkKCPIIqghcCCgIEggMCAkIAQfwB9MHsgeRB28HTAcqBxAG+QbgBsIGqQabBpYGkQaIBnkGZwZXBkgGPQYwBhkF9QXMBbIFtgXQBegF6gXSBaoFggVqBWIFWwVCBRcE7wTaBM8EuwSYBG0EPAQEA9QDzwQDBE4EagQ4A9wDmQOHA4oDfgNjA1UDXANlA2EDUQNCAzgDMwM2AzwDNwMnAx4DKQMwAxoC9QLuAwoDHgL+ArYCdQJPAjkCJgIUAgEB6QHJAaoBjQFuAU4BNAEhAQsA7wDUALsAoQCDAGoAXgBbAFkAWQBbAFkATwBDADkAKwAWAAP/8//j/9f/7QA2AI8AvACrAIMAaABMAA7/sP9f/zj/Mf8x/yz/Iv8U/v/+4/7D/qH+fv5c/jv+HP3//eT9yP2r/Yz9b/1S/TT9E/z1/N38y/y7/Kr8mfyI/Hv8b/xh/FD8PPwq/Bn8Cvv/+/f77/vn+9771fvI+7P7mPt++237Zftj+2H7XPtX+1b7V/tU+0v7Q/tA+0H7P/s6+zX7MPsp+x77E/sH+vz68vrs+un65/rl+ub66Prp+ur67vrz+vf6+vr/+wf7DPsM+wz7Evsb+yT7LPsz+zj7PvtK+1z7bvt8+4j7mPur+7z7yvvX++D75vvr+/T7/PwA/AP8C/wX/B/8JPwn/Cv8Lfwt/C38MPw0/DT8M/ww/Cr8Ivwb/Bb8EPwG+/r78Pvp++L72PvL+7/7tPuq+5v7hftp+0z7Nfso+yL7H/sa+xP7DvsJ+wP6+/r3+vn6/fr9+vj69vr4+vr6+vr5+vj6+vr/+wX7CPsG+wL7BPsL+xD7E/sV+xv7H/si+yj7MPs3+z37R/tY+2n7dvuC+5D7nfun+7b70fvu/AP8E/wr/Ej8Yfx2/I/8sPzQ/Ov9C/0y/Vb9c/2R/bb93f3//iP+S/5z/pb+wP75/zb/Y/+G/7D/5AAJABcAHAAY/+n/fv8V/xf/ugDVAhgDRQQ0BM8FMAWcBjwG2QcWBuIGiQZKBhEFrwU8BP0FCgU5BWcFnAXnBjwGhgbYB1gIDAjCCT0JZwlZCT8JOQlJCWYJkgnRChoKTApOCikJ/QndCcIJmglcCRAIwwiGCF4IQAgXB9kHlQdbByYG4AZ4BfgFfwUlBOwEwwSVBGcESQRDBEUEMAP7A7cDdAMtAtQCagICAa0BYgEUAMEAdgA1//X/rP9b/wf+tP5l/hz91f2I/TL83vyS/Er7/vuu+2D7G/rZ+pf6WPog+ez5vvmV+XH5TPkn+Qn4+Pju+OX42vjQ+MT4rviT+H74bfhI9/f3f/cL9sb2vvbe9wf3KvdC90/3Vvdf9273ffeF94r3lPek97X3wvfP99336vf2+AL4Evgt+F/4tvkr+aD59/os+lT6gfq1+ub7Dvsu+0z7afuI+6b7wvvh/An8OPxk/IL8lPyr/NX9Dv1F/Wr9ff2K/Zz9sv3D/cP9p/1n/QX8jvwa+8L7kPt/+4T7lfuq+7v7xPvG+8b7zfvc+/L8Evw3/Fv8efyT/Kv8wfzQ/Nr85fzx/Pj8//0O/Sr9SP1j/X79nf28/df97v4J/iT+Pv5Y/n3+qf7V/vn/Gv8//27/qP/oACkAYwCXAMoA/gEzAWoBqAHmAh8CUQKFArsC6wMVAz0DaQOTA7UD1AP2BBUELQRDBF8EfwSeBL8E6AUXBUAFYgWDBaIFtAWyBagFpQWqBa0FqwWpBakFpAWbBZQFkwWWBZoFnQWcBZcFkQWOBZIFmgWiBakFsQW0BbAFqAWjBaQFqAWwBbwFyQXOBcUFtgWvBbEFtAWzBbcFwAXIBcUFugWrBZIFcQVSBT0FJwT9BKcEfARfBD4EEQPrA+ID6gPpA9QDvAOwA6kDnQOSA40DjAOMA48DmQOiA6IDmgOVA5UDlgOUA5QDmQOgA6QDqgOwA7YDuwPFA9YD6gP6BAsEGwQmBCcEKAQ6BF4EfwSSBKkE3AUuBYwF3AYQBiAGDAXcBakFigV7BWkFRgUVBNsEjgQsA8kDhANmA1gDOwMPAuUCxgKpAoMCUwIcAd0BlgFNAQkAywCPAFYAIP/s/7j/hf9T/yD+6f6t/nD+Nv4D/dn9t/2R/V79GPzF/HD8J/v1+9j7zfve/Bj8bfyt/Kz8cPwh+9f7j/tD+v36zPqu+pj6g/pt+mH6f/re+2D7rvuO+yT6zPqz+rn6qfp++lf6RvpN+mX6gvp6+iT5hvjm+Ib4avhb+CP3x/dr9yf28va69n/2TfYm9fX1m/UQ9G/z5vOP81/zNfMG8uLy1PLP8r7ynfJ88mbyW/JV8lTyUfJJ8j3yM/Il8gjx2fGZ8U/xFPEr8cLyo/Mx8u3x+vEG8K/xBfGk8hzyRvJC8j7yRPI+8iLyDPIg8mDyrfLi8unysvJI8dnxofGx8eDx+PHx8eXx4/Hk8djxvPGb8YTxfvF88WfxOfEE8N3wwPCX8FrwG+/x7+Lv3+/c79rv5u/57/Xvt+9F7svucO437gnt1+2h7WHtE+y/7HLsLevq66brZOsk6uLqoepu6kfqIOn06c3pq+mB6UjpDOjY6KToZegf5+Dnqudz5zHm6uat5ojmfOZ15lvmJuXm5a3ld+U15ObkkuQ649rjcOMK4rbieeJR4jbiHOH84dbhr+GI4WDhO+EZ4Pfg1uC84KngluB/4G3ga+Bx4G7gauB24JfgueDQ4OLg+uEV4TDhUuF54ZfhoeGc4ZjhnuGs4cLh4OIC4ijiVeKI4rji3uL/4ybjUeN9467j5+Qi5FfkiOS85PPlNeWS5grmdean5p7mi+aT5rfm9edg5/Podeiz6MLo7OlR6cfqIOpl6rfrI+uf7B/sm+0I7WHtve427sDvLO9g73nvrvAh8MPxcfIS8qHzJfOf9AX0UfSM9M31I/WH9ez2Tvaz9x/3lvgW+Jb5Bvlg+bT6G/qP+vH7Mftg+5n73fwW/C38G/vq+7j7rfvc/Dj8of0E/V/9rv3w/jL+i/76/2n/1ABVAQEBxwKGAzoD+ATFBYcGGwZ3BrEG4QceB3MH5AhoCOoJUwmjCfEKVQrBCxMLSQuNC/gMbgy8DN4M9w0ZDUINgg32DokO5w7ZDogOUQ5WDnoOnw7NDxAPWw+hD9wP+w/pD6sPbg9SD0cPKw79DsoOjg5DDgYODA5hDtgPRA+sECgQrBESEU0RcBGLEYoRVBDeEC8PVw5uDaANIg0UDXEOFA7HD2IP2RBBELkRUBH3EpUTHROTFAoUjRUVFZMWAhZvFuQXVxezF/EYIRhTGIoYxxkPGWIZshnsGg0aHRokGiMaIBonGjkaTBpgGn0arBriGxAbNRtUG24bfBuCG4sbnxu9G+EcChw7HHQcsRzpHRIdJh0nHR0dDh0FHQ0dKB1BHT4dFxzYHJQcUBwgHDYczR3mHzAgNCCkIHgf3x8YHmceAx3zHhMeQh5/HtUfIh8zHv4esB5yHjkd7R2VHUEc5BxkG9YbgRuVG/UcURxuHEkcCxvaG8EbsBuRG2MbMhsLGvUa8BrxGt4amxogGXkYyhhMGDQYdBirGIAYFBfdGAoYMRfJFssVuhUgFS4VxhaWFz0XhheGF3YXXxcfFq0WNRXhFasVexVTFToVHhTrFK8UiBR6FG8UWxQ5FAATqxNOExETAhL/Et8SmRJDEfcRvRGLEVIRDxDNEJgQdBBYED0QIRACD+MPyw+7D6kPjg90D18PQw8UDt0OtQ6ZDnEONg4DDeINxA2bDXQNXQ1JDSgNBQz2DOsMvQxmDA0L1AuuC4MLTgskCwoK+ArjCssKsAqQCmkKQgodCfUJyAmcCXkJXwlKCTwJNwk1CScJCgjxCPIJCgkYCQMI0gifCHoIYAhICDIIHwgLB/MH1we5B5gHbgdABxkG+QbfBsUGrQacBpIGigZ+Bm4GWwZGBjIGIQYSBf0F2wW3BaoFvwXjBfYF6wXRBbIFjAVdBTMFGgUOBP0E5wTUBMIEogRzBEAEEQPiA8ED0wQvBKME0wSNBAYDnQN6A3oDaQNJAzkDQQNKA0MDMwMpAyIDHAMaAx4DGQMFAvcDAAMPAwUC5gLWAuYC9wLlArECdgJHAiMCCgH+AfMB3AG8AZ4BhQFoAUYBKAEPAPQA0wC0AJ0AhQBrAFQARwA/ADcANAA1ADIAJQAXAA8AB//3/+b/2f/G/6v/pf/VADYAlwDTAOcA2gCiADn/vP9Z/yb/F/8U/xP/Dv8D/u/+1f64/pf+dP5S/jT+Fv35/d39w/2p/Yv9av1K/Sr9C/zv/Nn8yPy5/Kn8mPyH/Hr8bvxi/FL8QPwv/CD8EvwF+/v78vvr++b74vva+8f7rfuT+4D7d/t1+3X7c/tv+237bftt+2n7Zftl+2f7Zvtg+1v7VvtO+0P7N/ss+yL7GPsP+wn7A/r8+vn6+/r++wD7A/sH+wv7EPsY+yP7K/sv+zH7Nvs9+0b7TvtY+2H7avt3+4n7mvuo+7P7wfvQ++D77vv8/Af8DfwS/Br8JPwq/Cz8MPw4/EH8R/xJ/Ez8TPxM/Ev8TfxP/E38SfxG/ET8QPw6/DL8Kfwe/BL8Bvv7+/H75/vb+9D7xPu3+6T7jPtx+1n7Rfs4+zL7Mfsw+y37Jvsc+xH7B/sD+wb7C/sM+wj7BPsD+wH7APr/+v/7APsE+wz7EvsT+xL7F/sg+yb7J/sp+y77M/s2+zr7QPtE+0j7VPtm+3b7gvuO+577rfu2+8P72/v4/A38Hfwz/E/8avyA/Jn8t/zV/PH9EP0z/VX9c/2T/bj92/37/h7+Sf51/pr+wP7z/yz/XP+D/7D/4wAHABMAGgAhAAv/uf9H/xD/YwBJAYkC1gPtBK0FJgWJBfgGaQa5Bt8G6gbfBq8GYAYWBe8F4gXbBegGIwaABswG7QcJB18IAAi9CVMJmwmfCYMJcQl6CZUJuQnlChkKRgpYCk4KNwoeCf8JzQmJCT8I/gjMCKcIhAhVCBYH1AedB20HKwbIBk4F3QWJBUwFEwTSBJcEeAR5BIMEdQREBAIDwAN7AyMCtgJKAfEBpAFUAQAAtABzADD/4f+J/y/+2f6J/kP+Af24/WP9EPzN/Jf8YPwb+8r7dPsg+tn6ovp2+kr6Gfnq+cL5ofmD+Wv5XPlT+Uj5O/kt+SD5Cfjp+Mf4qPh6+Cj3s/c/9vz29vcZ90L3Yfd294T3jvea96n3tve998T31Pfu+An4Hvgt+Dn4QvhN+GD4f/ip+OD5L/mX+f76Rvpl+nD6f/qY+rj62/r++x77Pvtj+4/7ufvW++j8Afwm/E38a/yF/K786v0p/VP9Yf1h/Wn9gf2b/Zz9cP0W/KP8MvvZ+6T7j/uN+5P7nPup+7b7wfvK+9X74fvr+/b8Cfwo/Er8Zvx9/Jb8rvzC/M/83Pzq/PT8/f0P/Sz9Tf1p/YL9nv26/dL96f4F/if+R/5m/oz+uP7i/wb/Jf9J/3X/q//rADAAcgCtAOABDwE+AXQBsQHuAiMCUAJ9Aq0C2gL/AyUDUQN+A6QDxAPkBAIEHAQ3BFYEdgSVBLIE1gT9BSEFRQVsBZAFoQWcBZAFjAWQBZAFjAWIBYYFfwV0BW0FcQV9BYkFjQWKBYMFfgWABYkFlQWfBaQFpQWjBZwFkwWMBYkFiwWQBZwFqgWxBasFoAWYBZkFmwWbBZoFnQWfBZwFkwWCBWcFRgUqBRgFAwTbBIgEYgRFBCID9QPUA88D2wPeA9IDwgO4A6wDnQORA48DkwOWA5kDogOrA6wDqAOnA6oDrAOsA64DtAO8A8IDzAPYA+ID6APxBAUEHAQvBDwESARTBFgEYAR4BKMEzATmBP8FMgWFBd4GHwY8Bj8GLwYTBfgF6QXjBdcFtwWDBUME9ASZBEED/wPTA6wDfANJAx4C/QLaArACgQJPAhUB0AGJAUcBCwDUAJ4AagA3AAP/0P+c/2H/Gv7G/nD+J/3z/c39qf18/Ub9DPzM/If8T/w6/Ef8Xfxu/In8ufzp/O78ufxd+/f7k/s5+vb6zPqw+pv6kvqa+rL62/se+3D7pfua+2f7Q/tC+z77EvrR+qr6sPrT+vb6/vrC+ir5Xvi5+Hb4dvho+Br3qfdG9wb22vaz9o/2cfZU9iT1xvUx9Hvz1/Nt8zjzF/L58ury8vL+8vXy1vK18p7ykvKL8ojygPJy8mjyafJp8lDyHPHg8azxivGZ8fTygfLe8rLyDPFe8SHxcfID8m7yf/Jc8k/ycPKR8obyZvJy8rvzDPMq8w3yzvKG8kDyDPH38fvyCfIa8iryMPIl8grx6vHN8bnxrfGk8Y3xYvEy8Q7w8/DL8I/wUvAo8BLwAu/07/PwDfA18EHwC++X7xbus+547kzuHO3k7aXtX+0V7Mzsguw46/LrtOt46zfq+erI6qTqfupR6ibqAenX6aDpYukn6PDoueiD6FHoGufY547nSucY5vrm6ubZ5rbmfuZA5gXlyuWG5Tvk8OSg5EDj0+Nr4xfi3eK14pjie+JZ4jLiC+Hm4cDhmeF14VThNuEd4Qfg8uDe4NLg0uDT4M7gy+DY4PThDeEd4S3hROFg4X/hpOHL4eXh6OHe4drh4+H24g/iLOJO4nbipuLZ4wPjIeM+42Xjk+PD4/fkMeRm5JPkvOTq5R7lXuW35ivmj+a35qjmlOac5sHnA+dw5//ofOi76NTpAelY6bnqCepU6rLrJ+uk7BzshOzX7SLti+4k7svvPu9l72rvlfAM8LbxZPH38nLy6fNe87/0AfQ19Hn01/VC9a32GfaJ9vz3cvfw+G741/kl+XD51PpM+rT6+fsu+3D7w/wW/FX8d/xz/FX8OPw3/FP8gfy9/Qv9Y/22/gb+W/6t/uv/Gv9g/9YAZgDuAXICEQLSA48EFARWBHQEngTzBXYGEgasBzcHsAgcCIII5Ak3CXAJnAneCkYKvQsgC2wLtAv9DD4MjQ0HDZMN3A2uDUEM/w0TDVkNqw4PDo0PCA9eD4QPfw9QDvwOpA5lDjEN6g2IDSMM0wyhDJsM2Q1aDfsOlg8jD6gQGxBnEIYQihB7EFMQCw+nDy0Ong4GDYQNQQ1WDcQOdQ9CD/8QmREZEZoSJxK1EzoTtxQ2FLsVOxWoFfwWQxaVFvkXYRezF+gYDhg1GF4YkBjWGTMZlBncGgEaChoFGfsZ8xn3GgcaHBo2Gl0ajRq1Gs8a6RsSG0cbcRuHG5Ibohu9G+AcBhwwHGQcoRzfHQ8dJR0lHRwdER0KHQ8dJx1EHUUdEByyHEkb7RuwG7EcGxz3HhYfJR/kIDYgGx+mHwwelB5cHlAeUh5pHqEe2x7eHqAeVR4vHigeJB4fHhcd5h1qHMEcSBw+HH4crxyYHEsb/RvSG8UbvBujG3kbSRsZGusaxBqmGooaYhonGdAZWxjlGKMYqxjLGLEYVxgKGAgYKRgKF3YWjxW0FUoVhBY5FvEXSBdJFzgXLRcEFqsWTRYXFgEV7hXcFdEVvxWUFVkVKBUGFOcUxRSiFHAUHhO4E2cTQxM+EzITBhK+Em0SIhHiEaERWhEYEOMQuBCQEG0QUhA6EB0QAw/1D+4P1g+uD4YPZw9HDx0O8g7LDp8OaA4xDggN5A25DZINeg1nDUUNHA0FDQAM8Qy/DHUMLAvrC64LeQtVC0MLNwslCwwK6wrECpsKdwpYCjQKBgnWCbMJnwmUCY4JjAmLCYIJaQlKCTYJLwknCRQI/wj1CO8I2gitCHQIQwgfCAQH6gfQB7IHjAdeBy0HBAblBs4GuwaqBpsGjAZ6BmQGTgY6BigGFQYEBfAF1wW/Bb4F2wX+BgQF6AXGBa4FjwVZBRwE9QToBN8EzwTABLIElQRgBCUD9QPNA7QDywQpBKME1gSOA/8DjANlA2ADSwMpAxsDKQM2Ay8DHgMTAwwDAwL+AwEC/wLtAtwC3gLtAu4C2gLGAsUCyAK7ApoCcAJAAhMB8wHoAeIBzQGrAY0BdwFcAToBGQD8AN0AugCbAIMAbQBWAEQANwApABkAEQARAA4AAP/w/+n/5f/Z/8n/vf+s/4r/av97/9EATQC8APYA7AChAC3/u/9o/zX/FP7//vb+9P7t/tv+w/6q/ov+af5I/iv+Dv3w/dT9vP2m/Yr9av1J/Sj9Cvzx/N38zfy+/K78nfyM/Hz8b/xj/FX8Rvw3/Cr8HPwP/AL7+Pvy+/D78Pvq+9v7xfuu+537lPuR+5H7kfuM+4j7hvuH+4f7hfuG+4j7iPuE+4D7fPt0+2f7W/tR+0f7Pfs0+y37Jfsc+xf7GPsb+x37HPsd+yD7Jvsv+zr7RvtP+1b7Xftk+2v7c/t/+4v7l/uk+7X7xvvU++D77Pv6/Ab8Evwf/Cv8M/w5/EL8TfxU/FX8Vvxc/GT8avxs/G38bfxs/Gv8a/xq/GX8XvxZ/Fj8WPxU/Ev8QPw2/Cz8IPwT/Ab7+fvt++D70vu/+6f7jft0+2D7UftG+0D7QPtA+zz7NPsp+yD7GPsV+xf7GvsZ+xf7FPsT+xH7D/sP+xH7E/sX+x37JPsn+yn7L/s4+z37Pfs9+0H7R/tM+1D7U/tW+1n7Y/t0+4P7jvua+6z7vfvJ+9T76fwE/Br8K/xA/Fz8ePyR/Kj8wvze/Pr9GP04/Vf9dP2V/bv93v38/h3+Sf54/qP+yv72/yX/Uv98/63/4QAIABgAHQAjABn/4f97/x7/JP/EAOoCRQN6BF0E9QVgBb8GMAbDB2UH2wf1B8EHiAd2B24HOwbnBr0G7gdNB4IHcQdYB4cIEwjMCWwJxAnSCbUJnAmgCbwJ2wn3ChcKOQpUCl0KWwpRCjcKBwnFCYQJTwklCP4I1QijCGcIKQfxB8AHgwcsBsIGWwYEBbYFYgUKBMUEqgSzBMMEuASKBEsEDAPJA3IDBAKXAjsB7AGbAUYA9gCsAF8ACP+v/1j/A/6y/mv+Lf3p/Zb9Rf0R/P788vzG/Gr77Pts+xD65vrZ+sf6nfpk+jD6C/n0+ev56fnm+dn5wfmr+Zn5g/lf+TD4+/i++Gn3+/eQ91H3Sfdg93n3ivec97D3wvfP99336/f2+AH4Fvg7+GX4hviW+J34pPi2+N75FPlK+Xb5pfnk+ij6Vvpg+lf6Vfpj+n36ofrJ+u77EvtC+4H7ufvM+777ufvc/Bz8Vvx4/Jj8yv0J/Tr9Sf1C/Tz9R/1V/Uf9C/yl/Db72/um+5X7nPuo+6/7r/uw+7T7u/vG+9X75vvz+/v8CPwg/D78WPxt/Ib8ofy2/MT80vzl/Pj9Bv0Z/TT9Uv1s/YP9m/21/cv94v4A/iX+Sv5t/pL+vf7n/wz/MP9X/4H/sv/rAC0AcgCyAOcBFAFAAXQBsQHsAh0CRgJxAqECzALwAxEDOQNlA44DsAPNA+cD/wQZBDcEWAR4BJgEvQTjBQcFLgVZBYEFkwWOBYAFeQV3BXMFbQVpBWcFYAVUBU0FUwVkBXMFewV5BXUFdAV6BYYFkQWYBZcFkQWKBYQFfgV5BXMFcQVzBXkFgQWFBYQFgAV+BYEFhQWFBYAFegV1BXAFZgVSBTUFGQUGBPkE4wS6BHsEZgRVBDID/QPRA8QDzAPUA9EDywPFA7kDpwObA5sDnwOiA6QDqwOzA7cDuAO6A74DwAPAA8QDzgPXA94D6AP5BAkEEwQfBDUETwRjBG4EdwSFBJYEqQTHBPEFGwU3BVEFhAXVBikGYAZxBmwGYAZPBj4GNgY4BjoGLAYDBb4FZgUIBLUEdgQ/BAIDvwOEA1gDMwMIAtoCrQKAAkoCCgHGAYYBTAEXAOQAtACBAEsAFv/g/57/Rv7a/m3+Fv3c/bP9iv1c/TT9Efzo/LP8i/yS/L/84/zg/NH84v0R/Sf8/Pyc/Cv7wvtq+yr7Afri+sH6r/q/+vH7M/tv+5j7oPuF+2X7Z/uF+4r7Tvrr+qT6p/rr+z77W/sK+kn5ZPjC+I74jvhp+Ab3j/cy9vn20/a69qv2nvaE9lL1+fVp9LDz/fN+8zjzEfL68wDzJPNG80PzHvLy8tPyv/K08q7yqfKf8pryn/Kh8ojyWPI08jXySvJa8l3yXPJT8jDx8PGv8Z3x2PJF8pbyk/Jd8k7yjPLZ8ubywvLC8wbzTvNQ8xHy0PKy8qTyivJi8kLyOvJK8mHyZ/JT8i/yEfH98fHx6PHY8brxjPFd8T3xI/D88MDwgfBS8DXwHvAP8BbwOvBo8HfwRe/c72nvFe7g7rHud+4y7e7trO1p7SLs1eyH7D/sAuvI64zrUOsh6v3q1uqo6nnqTuok6fTpvumJ6VbpJOj06MDof+gz5+bnp+d651znRecq5wLmz+aX5l3mHuXY5ZLlTuUD5KPkM+PL43njQeMa4vvi2+K24o3iZOI+4hnh8+HR4bPhl+F94WbhUeFA4TfhNOEw4SjhJuEx4UXhVuFg4W7hheGi4cHh5OIE4hXiFOIO4hHiIuI64lXicOKN4rTi5uMc40TjXuN4453jzOQA5Dfkb+Sd5L7k3eUE5TTlc+XN5j3mmua85q/mnuao5svnDOd25/7odOi16NfpBulQ6aPp9upT6sHrNeuh7ATsWeyh7O7tZe4Q7r/vMe9S71Xvg/AD8LfxY/Hh8kHypvMW83fztvPp9DP0m/UN9X718vZs9uL3UffD+DT4kfjV+Rj5evn1+mP6svr0+0P7n/v//Fv8qvze/Oz84vzP/Lj8n/yX/LX89/1L/af+Df50/sb/AP9A/5r/+wBHAIsA7wF+Ag0CYwJ1AnACkQL3A5QEPwTcBWwF/AaMBwsHZQeVB6kHvgf1CFgI1QlOCboKIAp9CsgLEAtwC9oMDwvpC50LiwvYDGAM+A2hDlsPAA9hD3UPUw8IDpIOAA1zDPgMggwGC5ULTQtAC3QL8QyvDZEOZQ8HD2UPhw9/D2QPQA8PDtAOjw5hDksOPQ4sDiEOMQ5yDusPlRBYERERqxIoEp0TEBN+E+gUVxTRFU0VtRYAFjQWaha3FxsXfxfHF+0YAxgXGDEYWRieGQYZdxnJGeoZ6RnbGc8ZyRnOGeAZ/BohGk0aeBqUGqMauRrrGzIbcRuUG50bohu1G9YcABwpHFYcjxzPHQUdIB0jHR0dFx0UHRcdJB0tHRMcwRxLG9kbgxtLGz0behwZHQQeCh75H60gBB/vH5UfOR7/HtAekh5fHmMekR6kHnQeIh3iHccdyR3pHhgeJh3lHWkc/xzaHNscwxx+HC4b+xvnG9wbwxudG3cbVRswGv0awRqJGlgaLBoBGc0ZgxkoGOUY5hkiGVcZShkBGKgYXxghF8QXJBZNFZ4VgxYKFr4XIBciFw0XCRb6FsYWihZqFl4WTBYzFiAWDRXrFb4VlxV2FU4VIxUBFOAUpRRHE94TkBNrE2ETVRMxEvASohJSEgIRsRFqETURCBDXEKsQjhB4EFsQPBAsECYQDQ/ZD6QPgw9tD00PIw79DtcOpg5wDj8OFQ3pDb4Nnw2IDWUNNQ0TDRMNIA0SDNYMfgwnC+ULuwukC5ULhwtyC1ULLgr/CtIKrgqTCnMKSAoVCesJ1QnTCdoJ4QnkCd0JyQmqCYkJaglNCTUJLgk6CUcJNwj8CKsIYwg0CBYH+wffB8EHoQd7B00HHgb4BuAGzQa8BqsGmgaDBmUGSgY3BikGFgYCBe8F4AXXBd4F+wYYBhMF7AXFBbIFnAVqBSgE9QTbBMYErwSjBKIEkgRhBCED7wPNA7QDuAPxBEcEbgQ3A8YDbQNQA0kDLwMKAv8DEQMiAxsDBQLzAukC4ALcAuAC4gLWAsUCwQLMAtACxAKxAqMCmQKNAn0CZgJAAhAB6QHZAdEBvQGaAXoBYAFFASQBBQDrAM4ArQCNAHEAVwBAADAAJQAU//3/7//t/+r/3P/O/8n/x/+6/6n/n/+T/3P/Rv83/2f/zQA6AHwAfgBMAAz/2v+z/4D/Pf8A/uD+2P7Q/sD+rP6W/nv+W/48/iD+BP3m/cz9tv2i/Yr9bf1N/S39Efz6/Of81fzE/LT8pPyS/IH8c/xp/F/8U/xF/Dn8LPwd/A/8BPv++/37/fv5++z72/vK+7z7s/uw+7H7sfus+6X7ovui+6L7oPug+6H7ovuh+6D7nfuW+4n7fftz+2r7YftY+1L7TPtF+0D7P/tB+0D7PPs6+zv7QPtH+1H7XPtp+3f7g/uM+5P7mvum+7T7wvvR++H78vwA/A38G/wo/DL8OfxC/E38Vvxc/GT8b/x4/Hr8e/yA/Ij8jvyO/I38jfyM/In8hvyD/H78dPxr/Gf8Z/xk/Fz8U/xL/ET8Ovws/B38D/wB+/H73/vI+6z7j/t3+2j7XvtX+1P7UftN+0T7Ovsy+y37K/sp+yj7J/sl+yT7Jfsn+yb7JPsl+yn7Lvsy+zf7PPs/+0H7R/tP+1T7U/tS+1b7XPth+2X7aftt+3D7efuH+5T7nvup+7j7yvvZ++f7+fwS/Cj8O/xQ/Gv8iPyi/Ln80fzr/Qj9J/1G/WH9e/2b/b/94/4C/iP+Sv53/qP+zv75/yP/Tf95/6n/3AAIACMALQAqAB///P+v/0b/Dv9hAFgBqgLuA+sEngUeBY0GJAcLCBgI1Qj3CLoInwjNCOoInQgOB7sH3ggvCEUICgfLB9sISwjvCYUJ3QnsCc4JtQm+CeEKBQodCjAKSApeCmsKbwpsClwKOQoHCdQJqAl9CVAJJAj4CMgIjghPCBQH1geKBzAG0wZ6BhwFsAVFBPoE5AT1BQYE+ATIBI0EVgQaA8UDWALoAooCOQHmAY8BOgDnAI8ANP/d/4v/N/7i/pf+W/4a/cb9df1S/Wb9h/1x/QX8WPur+zz7IPs0+0H7JPrm+qX6ePpk+mb6c/p5+mn6Rvoj+g35+vnW+Z35V/kJ+Kz4QPfd96P3lved95/3ove099P37Pf5+Af4G/gv+EH4XfiL+MD45/j1+Pf5Afkl+WT5qfnW+d/53Pnq+gr6Ifog+hX6Fvom+kL6aPqX+sb69Psu+3b7r/uy+4b7afuQ++38RPxw/IP8pfzf/Rf9L/0o/Rb9Cfz6/NP8ifwt+9r7pPuN+5D7n/uv+7f7tvuz+7P7tvu++8374fvz+//8Dfwk/ED8V/xr/IL8nPyw/L38zfzk/P39Ef0i/Tj9UP1l/Xf9jP2j/bn90f3v/hP+Of5e/ob+sP7b/wX/L/9b/4f/s//lACAAZACmAN8BDgE8AW8BqAHeAgoCMgJfApMCwgLmAwYDKQNRA3kDnAO4A84D4QP3BBEEMARSBHgEoQTHBOkFDgU7BWUFfAV8BXEFZgVfBVgFUgVRBVAFSwVABTgFOwVIBVcFYgVnBWkFbQV0BXwFggWEBX4FdQVwBXIFdgV2BXEFbQVrBWkFYwVdBV0FYQVnBWwFbwVtBWYFWgVPBUYFOQUjBQgE9QTuBOgEzgSjBIkEhwSABFgEFAPZA8MDyAPSA9UD0wPPA8QDtQOrA6sDsAOyA7QDugPBA8YDyQPOA9MD1gPXA90D6QP1A/wEBQQXBCsEOwRKBGAEfASSBJ8ErATDBOAE/AUbBUAFZAV+BZcFxQYPBl0GkwamBqUGmAaABmQGVAZdBnUGhQZyBjEF0AVoBRME1QSZBFAEBAPEA5YDaQM3AwYC3AKzAoACRAIFAcgBjgFZASgA+QDEAIoAUgAc/9f/df76/oH+Jf3p/bz9jP1g/Uf9Pf0t/Qv88v0D/TH9Q/0c/O789/0z/Vr9NPzW/HD8F/vD+3T7NvsJ+uT6zfrZ+xP7Yvuf+7X7pPt7+1z7ZPuI+5P7UPrJ+kj6Ifpu+vT7RfsJ+kX5YfjO+Kb4oPhs+AP3lPdB9wn24fbM9sf2wPam9nn2L/W19Qz0X/Pb84XzRfMd8ynzZ/Oh86PzcPM08wry8PLd8tby2PLX8tTy0/LP8rXyjPJ78qLy5vMG8tbycvIg8g3yKPI98jzyR/J58qryoPJl8lXyn/ME8yjzEfMX81/zoPOK8y/y5fLb8vDy8PLL8p7yg/KD8o7yjfJ38lbyOvIp8iDyGfIN8fHxxfGX8XLxU/En8OnwqfB38FfwQfA58EfwbvCZ8KXwe/Ao79bvoO9870ru/e6i7kzuAe277XLtJuzZ7JDsT+wV6+DrreuA61brLOr86svqnup26k/qJun76crplelc6R7o2OiN6EfoC+fb57Tnkudw50bnF+bm5rHmdOYv5e3lruVl5QPkkuQr49vjo+N741vjOuMT4ufivuKX4nPiT+Iv4hLh9eHa4cLhsOGi4ZnhkuGK4YLhf+GH4ZThn+Gn4bPhyOHl4gTiIOIz4jriOOI64kfiW+J04o3ipuK/4uLjF+NT44Ljn+O349nkBOQ15Gnkm+TB5Nfk7OUJ5TLlb+XL5jrmlOa35rPmrOa15s/nCOdw5/noa+ir6M7o/ulF6Znp+Opo6trrOuuJ69XsI+xx7MrtSO3t7pHvAO8u70LvfO//8LHxVfHB8gbyWPLE8ynzbfOm8/j0afTj9Vn11fZX9s33MPeL9+X4MPhq+K35FPmS+gX6YPq0+xT7ffvr/Fr8x/0e/Vb9c/13/Vj9E/zK/Kj8uPzl/ST9gP34/nP+2P8u/4b/1QAJACsAYwDAAR8BTQFDATIBVwHEAlkC5wNjA+UEhwU3BcYGDwYYBgcGBwYzBpEHDAeKB/0IaAjKCRcJVQmWCd8KEAoUCg8KSArbC6MMdQ1JDiMO5Q9gD4YPaw8aDokNvgzkDCULiwsGCpgKWgplCsALZwxODVcORQ7YDvgOwQ5wDjAOCA3lDb4Nqw3IDhcOgQ7nDz8Pkg/xEGsRARGgEjASoxMCE2ATwBQfFHwU3xVIFasV9xYsFlcWjBbbFz0XmxfaF/UX/hgJGBoYNxh0GNoZTxmlGcMZtxmhGZIZkBmaGbIZ2RoIGjYaXhp5Go0aqRrbGx8bXRuBG4cbhBuTG7wb8hwhHEkcdxyzHO4dEh0dHR0dGx0ZHRYdEhz7HLgcRxvKG2kbKhr7Gt0a9BtgHB4dDR4IHukfgB+vH5cfdx9qH0Ye5h5zHj4eWR6AHmoeFR2zHWwdUB1lHZgdvR2pHWgdKBz/HNYckhxGHBccDRwKG+8bvBuHG2QbURs2GwYaxRqFGkgaCRnIGYcZRhj/GMoY1BkyGb0aIhoXGZgY5BhLF94XYhalFdwVjRXyFq4XLxdGFy8XJRcdFwAW2Ra+FqkWiRZiFkYWMBYWFfkV4xXMFaYVdhVSFT8VHxTXFGoT+BOnE4YThBN8E1sTIBLWEn8SIhHOEZERXxEqEPcQ1BC9EJ4QdxBZEEcQLA/+D9IPuA+hD3kPSg8mDwsO4w6sDncOTA4iDfMNzA2yDZINYg01DSsNPw1FDRgMwwxwDDwMIQwMC/EL0guyC5ELagtACxYK8wrXCrgKkQpfCi8KEwoSCiEKMQo4CjQKJgoLCeUJuQmLCWYJVQlaCWEJTQkTCMIIfAhRCDkIIAf9B9gHtweWB2wHPAcSBvYG4QbNBrwGrAaVBnEGTgY5Bi0GGwYDBfAF6QXqBfcGEAYnBh8F+QXSBcIFtAWIBUUFDATmBMQEoQSRBJUEjgRjBCMD8wPXA74DqAOsA8sD3QO/A4ADUQNEAzwDHgL3AugC9QMEAv4C5gLQAsICuwK5Ar0CvgK3AqwCqAKuArACpgKUAoICcQJmAmACWAI+AhEB4wHIAbsBqAGJAWYBRgEnAQgA7wDcAMYAqACHAGUARAAoABcADP/9/+b/0//K/8P/t/+s/6r/qP+a/4j/ff91/13/M/8S/xj/Tf+W/87/5f/r//0AHQAn//P/i/8j/uP+yf65/qb+k/6B/mv+Tv4w/hT99/3a/cL9r/2d/Yj9bf1Q/TL9Gf0F/PT84PzM/Lr8qvyY/If8evx0/G38Y/xX/Ev8P/ww/CL8FvwP/Av8CPwE+/v78Pvk+9n70fvO+9D70PvL+8P7vfu8+7r7tfuy+7T7tvu4+7n7t/ux+6f7nPuU+4z7g/t7+3f7dPtw+2v7avtq+2f7Yvtf+177YPtj+2r7dfuD+5L7ovuv+7f7v/vL+9r76vv7/A38Hvwt/Dr8SPxW/F/8Y/xn/G/8d/x9/IP8jfyW/Jv8nvyk/Kz8sPyw/K38rPyq/KX8oPyc/Jj8kPyG/H38d/xy/Gz8ZPxe/Ff8TfxA/DL8I/wT/AH77PvT+7b7mPuB+3T7bvtq+2b7YftZ+0z7Qfs7+zr7Ovs5+zf7NPsx+zH7Nfs6+zv7Ovs7+z/7RPtI+0z7UftV+1j7Xftl+2v7bPtr+277c/t2+3n7ffuD+4r7kvud+6j7sfu5+8X71fvm+/j8DPwi/Dj8TPxh/Hr8lvyw/Mj83/z5/Rf9Nv1U/W/9iP2k/cP95f4J/iz+Tv5x/pr+xv7z/x//S/95/6X/0f//ACkAPQA4ACoAGf/p/4X/IP8l/9MA/QI7A0gEGQS6BUwGEAc0CHgJSwllCScJKwmKCcsJjwkNCMcI5AkSCPgImQhDCDkIhgkLCZEJ6gn+CegJ1gnoChQKPQpVCmQKdAqDCokKgwp3CmcKUQo0ChUJ8QnCCY0JXwk9CR0I7AirCGYIIwfbB4sHOAbkBoUGEwWeBU8FOQVKBVUFPQUJBNMEpQRvBBwDrAM6AtoChwIxAdYBfQEnAM0AbwAW/8H/Z/8K/rv+f/5A/e39ov2R/cT9/v3t/W38pvvn+3X7Xvt8+5L7fvtG+wX61Pq8+r76z/ra+sr6o/p8+mX6Vfoy+fL5n/lF+OH4dfgX9+P31/fV98z3xvfa9/74Gvgl+DL4Svhl+H34nfjS+Q75NPk9+Tz5T/mE+c76C/ob+fr5zPm3+cD5zPnN+c353fn6+hn6P/p0+rP67/st+2/7mvuM+0/7JftN+7r8J/xf/G78g/yw/OP8//z6/OL8w/yY/Fz8EfvM+6D7jvuK+4v7kfuc+6b7q/uu+7L7ufvB+8/74fv1/AX8Ffwr/Eb8XPxt/ID8lvyo/Lf8x/zg/Pz9E/0j/TT9Rv1W/WP9c/2H/Z/9uP3V/fb+HP5D/m7+mv7G/vP/If9R/3//q//aABAATwCSANABBwE6AWwBnQHJAfACFwJFAnkCqgLSAvMDFQM6A2ADggOeA7MDxQPaA/MEEAQxBFgEggSmBMUE6AUTBT8FXAVlBV0FUQVGBT8FPAU8BTwFNwUuBSYFJAUrBTgFRwVTBVsFYQVlBWcFZwVkBV0FVgVWBWAFbQVzBXAFbQVsBWUFVAVDBUAFSwVXBVoFVQVPBUcFOwUuBSIFFAUCBPEE7ATvBOgEygSiBJYEoQSaBGcEGwPeA8kD0QPcA98D3APXA84DwwO9A74DwgPEA8cDzAPSA9UD2APfA+gD7wPzA/sECQQXBCAEKgQ7BFEEYwRyBIUEoAS5BM0E4gUBBSQFRQVkBYUFpAW6Bc4F8wYyBnoGtAbVBt0GygafBm0GVgZnBpMGuga7BoYGJgW5BV8FHgTiBJkETgQOA9kDowNpAzYDDwLpArcCfAJBAgcBzgGXAWcBNwEAAMEAiABTAA//qf8p/q7+V/4h/ff9x/2b/Yj9j/2X/Y39gf2K/Zj9ff00/Pr9Dv1a/Yf9Yf0L/Lz8ePwe+6z7SvsR+vf66vr2+yf7a/ug+7D7o/uH+2z7Y/ty+3n7RPq2+gP5kfms+jT6rfqi+gf5RfjN+LH4qPhv+An3ofdS9xb27Pba9tf2z/a49pj2Z/YM9YL08vSB9CTzv/Ns82TzrfP89ATzyPOC81bzN/Md8w/zEvMX8xDzBvMA8vDyzvK18s7zEfM98xfysvJl8nXyxfL38t3yqfKi8sLyxfKb8ojyxPMm817zZ/OF89D0BPPb82/zGfMK8yLzK/MU8u/y0vLF8sDyuPKm8ovybfJU8kPyPPI38ijyBfHX8azxgvFR8RPw1PCi8ILwb/Bp8HjwnvDK8N7wxfCO8FnwPfAo7/jvoO8x7sTuZO4P7cPtfO0z7Obsnexj7DfsD+vj67PrgOtQ6yTq/erb6rzqmepu6jjp+em16XHpL+jw6LXoeug/6Azn4ue754/nYOcy5wPmyuaI5kjmCuW/5V3k7+SK5DzkBOPa47fjlONr40HjGeL14tPisuKT4nTiVOI34iHiEuIF4fjh7uHn4eDh2+He4ejh8uH54gTiF+Iz4lDiZeJr4mjiZ+Jx4oLilOKm4rvi0OLp4w3jRuOJ48Lj5+QE5CLkRORo5JDkuOTV5OXk8uUG5SflYeW95izmg+as5rbmu+bB5s7m/uds5/3ocOiq6Mjo+OlF6aTqEeqG6unrKuta65fr6+xJ7LLtMe3H7lnuyO8M7zzvf+/28JfxK/GH8bzyA/Ju8trzJ/Nm8770NvS29TX1t/Y79qv3APdG94f3v/fz+D34rvky+aj6Cvps+tn7UPvP/FX81v0//Y791P4H/gH9sP09/On8y/zI/NL9AP1i/eL+Vf6w/wL/T/+G/6f/zAANAFcAhgCTAKUA5wFaAdYCNQKDAu8DlwRXBOUFFAT4BMwEvgTdBSMFfgXeBjwGmQb2B0cHgwe4B/MILAhXCIsI9wmwCpULeQxTDTUOFQ7KDzEPQw8EDm8NkgygC9ALLQqiCisJ6goDCnoLMwwWDQUNzQ40DiYNzw15DVMNWw10DZMNyQ4sDrwPYQ/7EHwQ5xFMEbsSNBKmEwETRhOFE9IUKxSFFNwVMxWIFdYWFhZJFnoWsRb5F04XnxfWF+4X9hgBGBMYKxhZGLAZHhl3GZcZhRljGUwZSBlVGXIZnRnMGfcaGxo/GmUajxq/GvUbKRtJG04bShtcG5Mb2hwRHDMcVxyMHMkc+R0THRwdFx0JHPgc4xy0HFkb4Bt1GzUbEBrhGqwanBrbG20cNh0bHfYelB7ZHuYfAR88H1ofIB6pHlEeRx5fHk4eAB2aHUYdGR0THSUdLh0ZHPQc1xzCHJ0cYRwtHBkcGRwHG9UblhtnG1EbQBscGt8amxpiGi8Z8BmgGU8ZCBjIGJAYfhi7GUoZ6ho0Ge0ZORiAGAQXmBbtFhcVmxXZFpgXQxeDF3gXYRdNFzAXCxbsFs4WqxaMFnsWbhZaFkEWMBYgFf0VyBWbFYQVdBVIFPEUfxQWE9ATsROjE5ETcxNFEv8SpBJLEgURyhGNEU8RIhEHEOkQwBCSEGkQQxAjEBAQAg/hD6UPZw9DDy4PCQ7QDpwOeA5WDigN+w3hDcgNnQ1pDVINYQ1vDVINDwzODKgMkgxyDEQMEwvpC8MLngt9C18LQQsfCv4K3gq2CokKaAphCnAKfwqCCn0KcgpfCjwKCwnVCaQJgAlsCVwJPgkHCMMIiQhrCF4ITQgqB/4H1QevB4MHUwcqBw4G9wbeBskGuQahBnoGUQY3BikGFgX7BeoF6QXyBgAGFAYmBiIGAwXjBdUFyQWhBWEFKwUHBOMEuASZBI8EgQRWBBsD8gPeA8gDogN/A3EDbgNhA0oDOgM3AzADFgLyAtwC2gLhAt0CzQK5AqwCpAKgApwClgKQAo4CkgKXApQChQJxAl8CTwJEAkACPwIuAgYB1AGtAZgBiAFyAVIBLQEKAOwA2ADKALgAnAB7AFYAMgAS//3/8v/l/9H/u/+p/5v/jv+F/4P/gv94/2n/Xf9S/0D/If8B/vH+/f8e/0T/Z/+V/+IAPABtAEb/1/9c/wb+1/61/pn+g/5y/l7+Q/4m/gf96P3L/bT9o/2S/X/9aP1P/TX9Hv0O/P/86/zW/MT8tPyi/I/8g/x9/Hf8bfxi/Fn8UPxE/Db8K/wh/Bf8EPwM/An8A/v7+/L77Pvp++n76fvk+9372PvV+9D7yPvC+8L7x/vK+8z7y/vG+737tvux+637p/ug+5z7mvuW+5H7jvuO+437i/uJ+4j7h/uH+4z7lvuh+677vfvL+9b73/vr+/v8Dfwg/DT8R/xV/GH8b/x9/If8i/yN/JP8m/yf/KT8q/y0/Lv8v/zF/M380vzQ/Mz8yvzH/MH8uvy2/LX8sPyn/Jz8kvyK/IL8evxx/Gj8XvxR/EP8NPwi/A379/ve+8L7p/uR+4X7gPt8+3f7b/tl+1n7UPtL+0n7R/tF+0P7Qfs/+0D7RftL+077TftO+1H7VftY+1v7Yftn+237dPt9+4T7hvuG+4j7jPuO+477kfuZ+6P7q/uy+7r7wfvJ+9L74Pvz/Aj8Hfwz/En8Xvxz/Ir8o/y8/NX87P0G/SP9QP1b/Xf9k/2v/cn95/4M/jP+VP5w/pL+vf7q/xb/Rf93/6H/xf/uACAAQgBEADoAOAAm/9T/V/8V/2gARgFfAnADZAQyBPEF2AcPCFgJKglNCSkJTAnAChwKIAn/CgMKHQoFCZ4JGAi1CJUIvAkdCZgJ+gofChUKCgobCkEKZAp5CogKmwqwCrgKqQqKCmkKUgpECjYKHAnwCbgJiAlpCVIJLgj1CLQIcggvB+gHoQdcBwkGmwYkBc0FrwW4BbkFmQVhBS0FAwTMBHQEAQOPAzEC2gJ8AhkBvgFpAQ8ArQBL/+3/iv8m/tL+lf5Y/g391P3b/iH+Xf4//bP87vxA+9n7uPu7+7r7ovt4+0j7HvsB+vj7APsI+vz63frA+rD6oPp1+ib5xPlh+Pz4lfhA+Bb4Ffgc+Bf4FPgm+EX4Wfhg+Gv4g/ic+LH40/kP+VD5dfl6+Xz5mPnR+hD6Mvoi+eX5o/mB+YL5i/mP+Z35wvnx+hn6Pvp0+rz7BftD+3b7jvt1+zL7Afsf+4n8AvxN/Gf8c/yL/Kn8uvy0/Jn8cPw5+/b7tvuM+4H7h/uL+4b7g/uK+5b7ofuq+7T7wPvN+9v77Pv9/A38HPwv/Eb8Wvxp/Hj8ivye/K78v/zW/PD9CP0Z/Sj9N/1E/VD9Xv1w/Yj9ov29/dz+Af4r/lj+hf6y/t//Df88/2r/mP/H//wANwB4ALsA+gE0AWcBkgG3AdkB/QIoAlYCgwKtAtMC9wMZAzoDWANyA4oDogO+A9oD9wQVBDkEYASFBKUEyATyBR0FPQVLBUYFOAUrBSMFIgUjBSAFGwUVBQ8FCwUPBRoFKgU4BUEFRwVJBUcFQgU9BTgFNQU4BUUFVAVaBVkFWwVgBVwFRwUxBS0FPAVJBUUFNwUqBSIFGgUPBQUE/AT1BPME9wT4BOYEwQSeBHwEiwSABEwECQPdA9UD4QPrA+wD6APjA90D1gPRA9ED0gPUA9cD3APgA+MD5gPwA/4ECgQTBB0ELAQ8BEoEVgRnBHwEjQSaBKkEwATbBPYFEgUzBVYFdwWYBbwF2gXuBf0GGgZPBpEGzgb9BxAG+Aa7Bn4GaQaFBrgG3wbjBroGaAYCBaUFXgUgBNwElwRZBCAD4QOfA2sDRQMfAu0CsgJ5AkICCAHQAaABcQE5APoAwACKAEf/4f9h/uj+lf5o/kn+If34/eX99f4R/h7+G/4O/fD9qf1K/RP9Mf2A/af9gv05/P/8xPxb+8r7UPsX+w/7FPsh+0P7cPuN+5L7kPuN+3z7XPtN+1r7Wfr9+j35dfkh+WL52voE+bX5Mvjb+ML4rvht+AT3mPdB9wH23fbX9tv21fbE9rX2nPZc9fT1kfVI9PP0bPPf86rz6fRG9F30JvPh87XzlPNu81TzU/NX80zzPfM980DzKfL78uLy9vMY8xLy4vLE8u7zQfNm8zHy3fLA8ubzCPL68uTzA/NQ85fzxvP59DX0SPQM86PzVfNC80zzTvM/8ynzF/MG8vjy6vLa8sTypvKF8mryX/Jf8lnyP/IS8eHxs/GC8UfxC/Da8LfwoPCV8JzwvvDz8R/xJfEG8N/wxvC08IrwOO/G70ju0O5p7hjt1+2S7UPs9Oy57JPscuxF7A3r1+ur64rrcetY6zrrEOrX6pTqTuoK6cnpjulY6SDo4eif6GboOugS5+bnt+eL517nJebi5p7mW+YO5a3lROTl5JrkYeQ15A/j6ePA45njdeNV4zTjFuL44tjiteKX4oPiduJn4lfiTeJI4kPiPeI74kPiTuJW4l/icOKK4qXis+Kw4qfiqOK34sni1OLc4uri/uMa40XjhOPL5AfkMuRU5HLkieSb5K/kyOTf5O/k/OUN5SnlX+W55iTmeOak5rnmxubK5s3m/Od16BHog+ix6MXo9elL6bbqK+qX6uPrCOsl61/rvOwr7KPtJ+2y7jTuoe747z7vhu/q8G7w7PE98W/xt/Io8pvy6/Mq84P0AfSL9RD1kvYM9nD2uvb19yf3U/eI99/4XPjk+Vr5wfoo+pX7Dvua/Dn8zv1D/aP+Cv5o/n7+LP2j/Tj9C/z3/OH84P0T/W79xf4H/kX+iv7E/uP++v8n/3D/wQAJAFYAvAE1AZ4B4QIWAnQDFQPLBEcEXgQvA/0D8QQGBCcETQR7BLgFBQVbBawF7AYhBlsGmwbYBxsHigg5CQ4J2wqdC3gMfA18DjQOfA5WDdYNHwxhC8ALNAqjChcJzQn3CoULPAvtDIgM/g02DSsNAAztDQ4NWQ22Dh4Olg8lD8YQaxEBEXwR4BI7EpcS8hM+E3MTmxPMFBIUZxS7FQcVTxWWFd0WHxZcFpMWyBcEF0sXkxfFF9kX3xfrGAAYGRg+GIQY6RlHGW8ZXRkyGREZCRkVGTEZVxl/GaEZwhnuGiYaXxqTGsIa7hsIGwcbABsYG1obqxvmHAccKBxcHJwc2R0GHRodDxzsHMYcoxxvHBkbtRtsG1AbPBsJGr4ajhqiGvsbiBw2HOgdbR2sHcgeCx6JHwQfKh70HqQedB5cHjQd8B2hHVwdKh0LHPMc1hytHIocfxyCHHkcXBw7HCMcBBvSG5QbZRtRG0QbIhrgGo8aURo0GiYaAxnBGXEZKBjmGJwYURgqGE4YsxkYGS0Y5RiBGEQYFBedFtIWJRYXFqQXUBerF64XihdeFywW+xbWFsAWtha5FsUWyha2FpUWfRZuFlAWHBXjFb0VqRWRFWEVExSyFFIUABPHE6YTlROEE1wTHBLVEpYSWBIOEbwRehFTETkRFhDiEKQQbRBLEEEQNRALD8MPgA9cD0cPIQ7rDr0Oog6FDlYOJg4JDfYN1w2zDakNwg3YDcENgg1BDRYM8gzDDIwMXAwyDAML1AuyC5wLggtdCzsLIwsMCukKxQq2CrwKwAq3CqkKnwqTCnkKTwocCeoJvAmTCWwJPwkFCMMIjQhwCGkIYQhJCCAH8gfEB5MHZAc/BycHEAbzBtYGvQafBnYGTAYwBh0GBAXlBdYF3wXyBgAGDgYcBhsGBQXsBeIF1wWxBXcFSgUzBRkE6QS0BIwEawQ/BA0D6wPcA8cDngNtA0sDOwMzAyoDIgMeAxkDDAL1AtoCyQLDAsICvQKzAqkCnwKRAn8CbQJmAmwCegKAAnUCXgJGAjYCLAIiAhwCGAIMAesBugGMAXEBYwFTATgBEgDtANAAvgCxAJ4AggBgAD8AHwAA/+f/1//J/7j/of+K/3b/Z/9e/1n/V/9T/0z/Qf8w/xz/Bv7x/t7+1v7b/uv/Av8v/4b/9gBHAET/8/+J/zH+8v6+/pX+ef5n/lT+O/4e/f392f26/aT9k/2B/W/9XP1J/TP9IP0T/Qb89Pzf/ND8wvyw/Jv8jPyE/Hr8bvxk/F78WfxR/Ef8PPww/CP8GPwW/Bf8FvwQ/Aj8Afv9+/v7+fv1+/H77/vt++b72vvS+9H71fvZ+9v72vvW+9D7zPvM+837zPvI+8P7vvu3+7H7rvuv+7H7s/u0+7T7svuz+7j7wPvI+9H73Pvo+/T7/vwL/Bz8L/xC/FX8Z/x2/IH8jfyb/Kb8rPyw/Lf8vfzC/MX8zPzU/Nv83/zl/Oz88fzv/Or85fzi/N381vzR/M/8zfzH/L78s/yp/J/8lPyI/H38cvxm/Ff8Rfwx/Bv8BPvr+9D7tvuj+5n7lfuQ+4j7fft0+2z7aPtk+2D7WftU+1L7UvtS+1P7Vvtb+177X/th+2X7aPto+2r7cPt5+4H7i/uV+537n/ud+5/7pPuo+6n7qvux+7v7wvvF+8r70vvb++P77/wA/Bb8LPxC/Fj8bvyE/Jn8sfzK/OL8+v0U/S/9R/1e/Xn9mv26/dT97f4Q/jj+Wv50/pT+vf7m/w3/O/9x/6D/wv/lABUAPwBLAEkAUwBaACf/sP9D/zr/sQCCAYMClAOYBIUFgQauB+IIuQkOCS8JdwnqClQKrAsRC3ULhgsWClsJtglRCR4JFglLCbMKGgpLCkgKOAo3CkcKWQpqCoEKpwrUCvAK4wq0Cn4KXApNCkQKMQoOCd8JsAmLCXAJUgkoCPYIwwiQCFsIJgfuB6MHOQbABmIGOgY3BjIGEAXaBaYFdQUyBM4EWQPuA5YDPQLTAmQCAQGpAUwA4wB4ABT/r/9J/vH+rv5w/i/+Cv4n/nb+qv57/ev9Pfyx/Fv8KPwA+9r7t/ua+3/7YvtC+yz7Jvsn+yH7EfsF+v766Pqo+j35xflY+Pr4ovhd+EL4UPhs+H34h/iU+KL4pfik+K/4xfjW+OP5BflH+Yz5svm4+cD53/oM+jH6NvoV+dT5lPly+XH5dvl4+Yv5wvoN+kj6cPqc+tz7I/td+4P7jvtw+y368/r8+1r73vxE/HL8d/x2/Hv8fvx0/Fb8Jvvp+6v7fftq+3H7gfuJ+4f7h/uR+577qfux+7v7yPvX++b79fwG/BX8I/wz/EX8Vvxk/HH8g/yX/Kn8uPzL/OH89/0I/Rf9Jf01/UT9VP1n/X39lv2u/cv98P4b/kj+c/6e/sv++f8l/1H/gP+y/+YAHQBaAJ0A4AEfAVYBgwGoAckB7QITAjkCXgKGAq4C0wLyAwsDIgM6A1UDdQOaA74D3AP4BBcEPQRkBIkErwTZBQEFHwUtBSoFGgULBQMFAwUDBQAE/AT5BPUE8QTyBPoFBQUNBRIFGQUeBR8FGgUWBRQFFgUcBScFMgU2BTgFPwVLBUwFOgUkBSAFLgU4BS4FFgUCBPoE+AT0BPAE7wTwBPME8wTkBMAEkwR3BEIETgREBB4D9gPjA+cD8gP4A/gD9gP0A/ED6wPmA+ID4QPiA+UD6gPvA/QD+wQHBBYEJQQxBD4ETgRiBHQEgwSTBKUEswS/BM0E4gT+BRsFOQVXBXQFkwW6BeUGCQYcBikGRQZ1BrEG7gckBz0HIQbeBqUGowbQBvwHCwb/Bt4GogZJBesFmgVWBRUE1QSaBGAEIAPcA6UDfQNVAyIC6QKxAnsCQQIIAdYBqQF0ATcA/ADFAIAAHf+g/yf+0/6q/pf+ff5f/lH+Zf6J/p/+mP50/jX92/18/Ur9YP2a/bT9lf1c/Sr86Pxz+977a/tA+0T7T/tY+237g/uE+3X7cPt2+2b7NPsR+zb7g/uC+uD51/kE+NX5J/l8+YD5RPkH+OL4tvhl9/P3fPcY9tP2ufbC9tT21fbN9sv2wfaS9kf2D/X29bv1IvRh8/b0HfSC9K70g/Q/9A/z6fO885zzl/Od85LzgPOA84zzf/NM8xLy+vMD8wry/vL48xjzTPNe8zPy9/Lt8x/zVPNa80LzQ/N288T0DvRF9Fz0QfP686/zhvOB84Lzd/Nk81TzSPM48yXzEvMB8u7y1/K78qHykvKO8obybfJD8hTx6vG/8YvxUfEb8PLw0/C68LHwyfEH8VHxfvF48VHxKPEJ8ObwqPBE78LvOO7C7m7uMu3y7aPtVO0Z7PPszuyd7GTsNOwU7AHr8+vg673rgus26ufqoupm6izp8+m66X3pOej16L/omOh06EvoIOf258fniec95vHmp+ZW5fblkeU35PDku+SQ5GrkQuQa4/fj1uO145PjdeNZ4zrjF+L44uXi1+LG4rbir+Ku4qriouKe4qbisOK34r3izOLl4vvjBOL+4vXi+OMH4xbjG+Mc4yTjOONb45Hj1uQZ5EzkcuSV5LPkwuTC5MTk0+Tp5P7lEOUj5UDld+XR5jnmh+av5sPmz+bN5s7nBOeJ6Cnok+iy6L7o8elQ6cDqMOqP6svq5esB60Lrp+wf7KDtKO2r7hzugO7f7zfviu/l8FLwuPD98TDxg/H98nLyvfL481Hz1vRp9PP1bfXV9ij2afaf9s32+Pc39574Jfir+R/5hvnt+lL6wPtQ/AH8qv0t/Zv+Fv6J/qn+Uv3B/Vj9O/09/TD9IP0t/Vr9jP22/eb+JP5W/mj+Z/5+/sb/M/+pABsAiwD5AVUBlgHMAhwCmwMoA4YDlANwA1gDZgOGA5cDmwOsA90EKQR9BMcFAgU3BXMFtQXyBiwGgQcIB60IRwjZCZgKpwvTDL4NJQ0UDL4MVwwBC7kLXwrWCkMJ+QowCsMLWwu+C/cMJAxPDHcMqAzxDVcNzw5SDuAPdhAPEKQRMRGuEhgScBK/EwkTShN7E50TvhPwFDYUhxTSFRIVSxWKFdAWFhZWFo4Wwhb8F0AXhRezF78XuBe8F9IX8BgUGE4YqRkJGT4ZNBkHGOIY2hjoGQIZIhlEGWMZhRm1GfMaMxpsGp0awxrPGr4arRrEGwwbXxubG8Ab6hwmHGwcsRzuHREdBhzUHJkcahw7G/kbtBuLG4QbehtMGwMayRq6GtQbFBt3G+wcTRyBHKUc+B2THkYeyB7yHtoepx5xHj0eCR3UHZgdVR0WHOIcthyLHGscYBxlHGgcXBw/HBQb2hubG2sbVRtIGyYa3xqFGkEaMxpUGnoadxpAGe8ZnxlXGQYYnRgkF78XmRe2F+kYBxgiGGIYtxi/GD4XehcBFxYXdRe4F7QXfxcyFt0WkhZoFmgWiRa6FukW/hbrFsEWoxaaFo0WZhYuFfsV2hXHFbMVjxVPFO0UehQTE9ATsxOmE5ITchNOEykS9xKqEkkR7RGtEYcRZxE4EPUQsRB/EGQQShAbD9sPow9/D2QPQQ8YDvYO2Q6xDnoORw4mDhQOCQ4QDjoOdw6VDnEOGw3EDYINRw0HDNAMrAyJDFMMEwvmC9ALuQuUC3ILYgtWCzgLEAr3CvAK6ArUCr0KsgqsCpoKegpTCioJ/wnOCZgJXQkZCNAIkQhqCF0IWQhLCC0IAgfUB6QHdgdTBzsHJAcFBuAGugaSBmsGSwY2Bh0F9AXJBboFzwXuBf8GBwYPBg8GAQXwBeoF4AW9BYgFYwVVBUAFDATDBIMEVAQsBAcD7APYA70DlQNpA0UDMQMmAx0DEQMGAwEDAAL3At4CvwKsAqkCrAKsAqcCmgKEAmUCSgJAAkkCWAJbAkoCLQITAgcCBgICAfsB8QHkAcoBoAF1AVYBRQE1ARoA9wDTALcApACVAIEAZABDACUAC//w/9P/uv+o/5f/g/9t/1j/Sv8//zT/LP8r/yz/Jf8R/vn+5/7a/sz+vf60/rD+r/7B/wD/av/N//P/z/+G/zv++P69/o7+b/5a/kf+Mv4X/fX90P2w/Zj9hP1u/Vr9S/08/Sv9G/0Q/QX89fzk/Nf8zPy8/Kj8l/yL/H78b/xl/GL8X/xZ/FH8Sfw+/DD8JPwj/Cf8J/wg/Bb8D/wK/AX8AfwA/AH8BPwC+/v77/vl++P75vvq++377vvr++b74/vk++j77Pvs++n74fvY+9H7z/vQ+9P71vva+9z73fvf++X77Pvz+/r8BPwO/Bj8Ifwv/EH8VPxk/HT8hPyT/J/8qvy2/MH8yfzP/NX83Pzg/OX86/zz/Pn8/v0E/Qr9Df0L/QX9APz8/Pj88vzt/Oj85fzh/Nr80vzI/Lz8r/yh/JT8ifx9/G78WvxD/C38Fvv8++D7xvu1+677rfuo+537kPuG+4P7gvuB+337dftu+2n7aftp+2r7a/tt+2/7cft1+3r7fft8+3z7gfuL+5b7oPuq+7H7svuw+7L7uvvC+8b7x/vL+9P72PvZ+9375vvw+/n8AvwR/CX8O/xQ/GX8e/yR/Kj8wfza/PL9CP0i/T39U/1l/X39n/3F/eL9+v4X/jv+W/53/pn+xP7r/wz/NP9q/6H/yf/qABYAQwBYAF0AawB+AGsAFv+j/1r/aP/aAKwBxALwBAcFEgYtB0oIMwjVCVQJzwpACqsLQAwNDLgMvwwVCzQKlAo7CfEJsQmpCewKQgpvCmgKSgoyCikKLAo+CmQKogrrCx8LHwruCrEKhgptClgKQAooCgsJ5Qm5CZIJcQlQCSwJCwjvCNQIsAh8CC0HwAdJBusGvga1BqwGjgZdBicF6gWVBSYEsgRRBAADpQMxArUCSgHsAYkBGQCtAEv/6/+F/yb+1v6Q/lD+Mv5V/p/+xf6L/gD9afz6/LT8e/w+/AP72fvE+7b7oPuA+2P7VftS+0/7SPtE+z77HPrC+jv5rfk7+On4qPh4+Gr4hPi1+OL4//kI+P/47Pjj+O/5A/kN+RT5Nfl4+bz53vnk+ez6BPoe+ir6I/oG+dT5nfl/+X35gfl8+Yn5yvow+or6u/rX+v77M/tj+4D7hftm+yL62/rR+yj7vfxB/Hz8efxm/GL8aPxg/Dz7//u7+4P7Zvtj+2/7ffuH+4/7m/ur+7n7wfvF+8v71fvg++z7+fwK/Bz8Lvw9/Ev8Wfxm/HT8hvyb/K78vPzJ/Nn86/z6/Qf9Ff0n/Tz9UP1l/Xr9j/2k/cD95P4O/jj+X/6K/rn+6P8T/z7/bv+h/9UACQBBAH0AvAD7ATYBaQGUAboB3gICAiMCRAJnAo4CsgLNAuIC9QMLAycDSwN2A58DwQPcA/gEGwRCBGkEkQS5BN4E/AUMBQoE/ATrBOME4gTjBOIE4ATeBNoE0wTPBNAE0wTSBNME3QTqBPME9AT0BPkFAgUMBRUFGwUfBSMFLAU4BToFLQUbBRkFJAUqBRoE+wTiBNgE2QTcBN8E4ATfBNgEyASqBHwETwQ6BB4EIAQXBAcD/AP9BAIEBAQDBAIEAwQEBAED/AP3A/ID8QPzA/cD/AQCBAsEFwQlBDIEQQRPBF4EcASEBJkEqwS6BMgE1gTjBPIFCAUjBT8FWwVzBYoFpwXSBgUGLQZDBlUGcwahBtUHDAdCB1wHPwb8BtIG6wcpB00HQQcjBwoG5AabBjoF3AWOBUgFBwTMBJUEWQQYA+ADswOIA1YDIALqArMCeAI+AgoB3AGpAXABNgD9ALkAXP/n/3H/Gv7u/t/+1P7H/sf+3v79/wX+6v60/m3+Hf3O/Zz9mP2w/br9of1x/TX84fxt+/T7o/uM+5L7lPuS+5n7nfuM+2r7VPtN+y766/rC+v/7i/va+2n6Tfks+Kb40Pk++X35bvk4+Pn4svhT99/3Z/b89rH2lfah9rj2wvbE9sv2y/ao9nP2XfZs9k/1uPTY9EP0UfS99Pz02fSK9E30JvQE8+vz6vPz8+zz1PPC873zsfOO82DzQ/M88zzzNvMt8y7zOPNA8zvzNPND827zmfOj84vzefOT89n0JvRQ9ED0BvPJ86zzsvPC88DzqfOM83bzZfNU80HzLfMb8wzzAPLy8uDyzvK+8q3yk/Jv8kjyJfIC8dXxm/Fg8TDxC/Dn8MnwzPEC8Vzxq/HD8aTxbfE+8R3w8vCh8CTvk+8W7sPuiO5M7gLtue2A7VLtIuzt7L3sneyM7IHsdexe7DHr6euT60HrAerM6pfqWuoX6dHpiulL6Rvo+eja6Lfokuhq6DXn6+eV50Lm9Oag5j/l3OWG5UXlFeTv5MzkpuSB5F/kP+Qa4/Pj0+O445rjduNX40PjNOMk4xfjE+MV4xHjCOMF4w3jFeMZ4x3jLONC41PjVuNP40jjS+NV417jYeNg42bjfOOo4+nkMORn5IfknuS85Nfk3+TW5NPk4+T/5RrlL+VD5WTlo+YG5nLmvubc5uDm2+bN5s3nDeea6Djol+it6Lzo+Ola6cPqJOp36q7q0Or560brsOwn7KXtJ+2b7fnuTu6w7x7viu/x8FPwovDU8QbxYfHh8lLylvLN8yvzufRT9Nz1SvWf9eP2HfZS9n/2r/b893T3//h8+OT5R/mr+gr6dPsG+8H8dfz//XH97f5a/nD+F/2S/T/9Pv1g/XP9cv13/Y/9sv3d/hb+WP6H/pH+hv6T/tb/Rv+/ACkAfgDMARgBXgGXAcsCCgJSAogClQKOAp0C1QMWAzwDSQNlA6cEBQRgBKYE2AUIBUMFhwXEBfcGNgaUBwIHXgewCDkJIgpACyoLmwujC4YLewuMC50LfQsZCp4KZgqeCxQLbQuDC30LlgvjDFQM1w1gDeoOcQ74D4YQGRClESYRnRIHEmMSshL3EzETXRN7E5YTuhPyFDwUjhTZFRMVRBV8Fb4WAhY/FnUWrBbqFzEXcxeaF5sXhRd6F40XsRfYGAsYWBi1GPMY9RjQGK8YrRjCGN0Y+xkcGUIZbBmdGdYaEBpGGnYalBqRGnAaVRprGrIbAxs/G20bphvtHDccgBzFHPUc8hy8HHUcPBwQG+AbshuaG5gbkxt1G0kbIRsCGuoa5RsBGzcbbxuWG7wcBRyFHSodxh40HmQeYx5KHjYeKR4QHdMddR0YHNgcthyeHIMcZxxRHEEcMRwXG+8bvxuWG3sbYhsuGtMaZxoZGhgaaBraGycbIhrUGmgaAxm0GXYZMRjCGCQXhRckFxIXMBd6GBEY6BmSGZEY5RgSF5UXehd7F2AXHha7FkYV4BWwFcIWAxZVFp8WyhbHFqgWkxabFqsWoRZ6FkoWIxYJFfcV5xXGFX0VDhSXFD0UBRPgE70TohOVE4wTdBM+EuoShRImEdwRqBF8EUkRDhDWEKUQdxBIEBcP5g+2D4oPbA9aD0QPGg7dDqIOeA5YDkAOPg5wDtIPMg9PDxIOpw5DDfgNrQ1ZDRMM6QzHDJIMUgwmDBQMAQvcC7cLpAuVC3QLRQsiCw8K/grlCs4KxAq/Cq8KlQp4CloKNAoDCcoJiAk9CO8IqQh4CF8IVghLCDIIDAfiB7gHjwdoB0YHKAcIBuAGsQaDBmMGVwZSBjcF+wW8BaYFwQXnBfoF/AX+BgEF+wXxBe4F5wXKBZoFcgVbBT8FBQS4BHMERQQnBA4D9gPYA7IDiQNkA0cDMgMmAx4DEQMBAvcC9gLxAtkCtAKWAosCjQKSApICiQJwAkwCLgIhAiYCLgIqAhcB/AHlAd4B5AHpAeIB0wG/AacBiAFmAUoBNAEeAQIA4QDBAKUAjwB/AG0AUQAvAA//9v/e/8D/ov+K/3j/Z/9T/0L/Nf8o/xb/Bf8A/wL+//7v/tv+z/7H/rz+rf6h/pb+hv5//p/+8P9L/37/df9F/wz+1/6m/n3+Xv5I/jb+I/4M/e39yv2r/ZL9ev1g/Uj9OP0q/Rz9D/0G/P387/zf/NX8zPy+/K38n/yU/Ib8d/xu/Gr8Z/xe/Fb8UfxK/D78NPwz/Db8NPwr/CH8GfwU/A78C/wN/BH8FfwU/A78BPv8+/r7/PwB/Ab8CvwJ/AT7//v9/AD8BfwJ/Aj8Afv4+/L78fvz+/P79Pv4+/78BPwI/Az8E/wb/CT8L/w6/EH8SvxX/Gn8fPyK/Jj8pvy1/MH8zPzW/OD86Pzv/PT8+fz9/QP9Cv0R/Rb9G/0h/Sb9J/0k/SD9Gv0U/Q/9DP0H/QL8/fz4/PP87Pzi/Nf8yfy6/Kz8oPyU/IP8bvxW/ED8KvwQ+/T72/vL+8X7xfvB+7X7p/ue+5z7nvug+577mfuR+4n7hfuE+4X7hfuF+4T7hfuI+4z7kPuQ+5H7lvug+6r7tPu7+8H7w/vC+8X7z/vb++L74/vk++j77fvw+/T7/vwJ/BL8Gfwm/Dn8Tfxg/HP8iPyf/Lf80fzq/QD9Ff0u/Uv9Y/10/Yf9pv3N/e7+B/4g/j7+W/53/pr+x/7x/xH/M/9n/6D/zv/zAB0ATQBvAH0AiQCaAJoAawAQ/6z/a/99AAcBAgI3A2kEhwWdBq8HqwiRCWgKHgqdCwULpQyLDUMNRwyiC+QLdgs1CtUKXwoeCjMKbAqICnUKTgopChQKEgopClkKoAryCy8LOgsXCugKxAqlCnwKVQpCCjsKJgn8Cc0JqAmKCWsJUAk/CTEJEwjZCH8IEAeiB1EHKQceBxIG9QbHBo4GRgXmBXMFBQSuBGIEAwOKAwoCnAI7AdQBYgD3AJgAOf/O/2L/BP6y/mr+Q/5U/of+mP5V/c79Q/zj/K38g/xU/CT7//vr+977y/uu+5L7hPuA+3r7cPtk+1D7HPqz+iL5kPkj+OD4tfiY+JP4sfju+TH5X/lp+VD5LPka+SP5Nfk8+UH5Yfmb+dD55Png+d355Pnq+ez57vno+cv5n/mG+Yv5lfmM+Y75yvpA+rX69PsE+xL7M/tY+277bPtJ+v76qvqW+vP7n/w4/HX8ZvxM/FT8bfxu/EH79fur+3v7bPtz+3/7hfuL+5j7rfvA+8371Pva++H76Pvw+/f8APwO/CL8OPxK/Ff8Y/xv/H78kPyk/Lf8x/zR/Nv85/zy/Pz9CP0b/TP9S/1i/Xf9i/2g/br93v4F/ir+Tv53/qj+2f8F/zD/YP+V/8n//AAvAGQAmgDTAQ4BRwF4AaEBxwHrAg0CLQJOAnIClAKvAsYC3QL2AxIDNANdA4cDqwPIA+MEAQQiBEQEaASOBLUE1gTrBO4E4QTPBMQEwQTDBMQEwwS/BLYEqwSkBKEEngSZBJsEqgS/BM8E1wTdBOkE+AUEBQ0FEQUTBRUFGQUeBR8FGAUQBRMFHQUeBQsE6gTOBMEEwQTHBMoExQS3BKQEjgR1BFUENQQhBC8EHQQUBBMEGAQdBBwEFQQQBBAEEQQPBAwECgQHBAQEBAQJBA8EEwQZBCQENARCBE8EXARrBHwEjwSjBLkEzQTeBOwE+QUIBRsFMgVMBWYFfwWSBaMFuwXkBhcGQgZdBnUGmAbCBuwHGwdQB2wHUQcSBvYHIgduB48HdwdWB0sHOwcABp4GNgXaBYcFOwT5BMIEigRNBBMD4gO2A4cDUwMdAuQCqQJvAjoCCQHVAZ8BaAEwAO8AnAA1/8n/c/9C/zH/Lf8w/0D/Wf9m/1H/HP7d/qP+av4w/fz94P3Y/dL9tf17/Sb8w/xf/BH75/vf+9771fvF+7r7rfuT+3D7Ufsy+vr6qPp7+rz7VvvC+3f6dvlV+Lv41vlJ+Zr5lflS+Pf4lvgu98L3WPb69rD2hvZ+9of2kfac9q/2u/ap9oj2h/ar9qL2GfU09I70j/T/9Uj1IPS+9Hr0ZvRg9FT0TfRO9Ej0L/QL8+nzzvO686nzm/OQ84/zl/Ob84/zevNx83/zmfOx88Xz2PPh89XzwfPE8+70I/Q19BHz2fO688bz5vP48+7z0fOv85HzefNo81vzTvNA8zTzLvMo8xrzA/Ln8s7yt/Kb8nzyXfI98hTx3fGh8XDxSvEj8PXw2fDw8T/xnvHa8dbxp/F08VLxMfDs8HPv4u9n7xfu3u6i7l3uG+3j7a7tde1D7SLtFO0M7P/s6OzE7IzsQ+vx66jrbes56wHqv+p26ivp5emr6YHpYelD6SPpAOjW6JjoROfp55PnQ+bu5o/mMeXg5aLlduVV5TblE+Tv5M3kq+SD5FnkNeQY4/jj1OO146HjkuOD43njeON743XjbeNt43TjeuN844PjlOOn467jquOh45rjmOOa457jouOm47DjzOQA5ETkhOSp5LLkt+TJ5Nzk3+TX5N/k/+Um5UPlUuVh5YPl0OZH5sTnFOcl5w/m6+bK5sjnD+ei6D/om+i56NfpHOl36crqFepd6pvqzOsF61zryOw57KntGO167cfuFe587wDvi/AH8GjwofC98OfxRfHF8i/ybvKp8xDzovQ59Ln1HPVq9aj14PYT9j/2dfbN90732PhJ+KH4+vlZ+br6LfrL+4z8Pvy+/ST9iv3a/d39kP0w/QX9HP1R/X39mf2w/cz99f4w/nz+yv8C/xv/Jf9C/4T/5QBHAJIAxQD2ATUBfAGwAcABuwG5AcABxQHNAfECPgKaAuADDQNCA5oECQRvBLkE7QUdBVYFmAXWBgwGRQaNBtYHAwchB20IFgj/Cc4KSAp7Cp8K2gspC2oLeAtICwMK7QscC2ELewtmC1wLmQwbDL0NXQ3vDnYO9w95D/0QfhD4EWoR0hIrEncSuRLzEyETPBNOE2YTkBPOFB8UexTQFQ8VPRVtFasV7xYqFmAWlxbWFxUXSxdnF2AXQxcwFz8XaBeTF8AYARhVGJYYoxiJGHMYexiXGLMYzhjwGR4ZUhmEGbQZ4BoKGjAaSBpBGiEaCBodGl4aqhrmGx0bYRuxG/0cRByKHL0cwxySHEkcCBvYG7EblRuKG4kbhRt5G24bXhs/Gw8a5RrUGt0a7xsBGx0bTRuVG/UcaBzdHTsddB2bHcYd9B4CHdMdcx0SHNocyxzHHK0cehw/HBIb+RvnG9EbuRuiG4IbPRrJGj0Z0Rm+GhkawRtiG6cbeBr8GnEZ/BmsGY0Zjxl2GQQYRheLFw8W1RbeF1QYQhk9GZ4ZIhgqF1IW3haxFpUWZBYRFZ4VMRT4FQAVMRV5FdAWJhZcFmoWcRaQFrsWzxbAFqAWgBZgFkEWLBYdFfcVqBVBFOIUlBRKE/8TxROqE6kTrBOgE3YTJBK1EkYR8hHCEaQRhRFaESYQ8hDIEKAQZBARD8UPpA+kD5UPXQ8YDvQO7A7aDrAOmw7LDzcPlA+fD1YO8w6rDngOMw3LDWENFgzlDLgMjAx1DHAMYAw1DAML4gvKC6cLeAtNCy0LEAr0CuMK3wrXCsQKqQqSCnkKVwoqCfYJuQlxCSQI3AimCIMIcAheCEIIGwfxB8kHogd1B0YHHQb5BtMGowZ0Bl0GZgZ2BmEGGgXIBaQFuQXeBewF5gXkBewF7wXrBesF6QXVBawFfAVQBSAE4wSgBGkERAQtBBgD/QPVA6cDfANbA0IDLwMkAyIDHQMOAvsC7gLiAsgCogJ/AmwCaAJqAm8CawJXAjYCGQIKAgQCAAH4Ae0B3gHNAcUByAHPAcwBuQGeAYIBaAFRATwBJQELAO4A0gC2AJoAgABuAF4ARgAj////4//M/7D/kf93/2P/UP88/yv/Hv8R/vz+5f7X/tX+0/7L/sH+vP65/rD+pP6c/pb+iP54/n/+q/7l/wX+/f7d/rv+nf6B/mT+Sf4x/h7+DP32/dr9uv2e/Yf9bv1T/Tn9J/0Z/Qv8//z5/PL85vzX/Mz8xPy4/Kv8ovya/I/8gvx4/HT8bvxk/Fv8WPxU/Ez8RPxC/EP8QPw2/Cz8Jvwi/B78Hfwf/CL8I/wi/B78GfwV/BT8Fvwc/CP8Kfwq/Cf8H/wZ/Bf8Gvwf/CD8GvwS/A38D/wR/BD8DvwS/Bz8Jvwr/C/8NPw+/Er8WPxk/Gz8c/x//JD8ofyx/L/8zfzc/Oj88vz6/QL9C/0S/Rb9Gf0d/ST9Kv0u/TL9Of0//UL9QP09/Tv9N/0v/Sj9I/0h/R39GP0S/Qv9A/z6/O/84/zU/MT8tvyo/Jf8gfxp/FL8PPwn/A/7+fvp++H73vvZ+877w/u9+7z7vvu/+7/7vfu1+6v7o/uh+6L7o/uh+5/7nvud+577ofuk+6f7rfu2+8D7x/vL+8770fvV+9z75/vz+/r7+/v6+/z8APwF/Az8Fvwh/Cn8Mvw//FH8ZPx0/IX8mfyx/Mn84vz7/RD9I/07/Vj9c/2F/ZX9rv3R/fT+D/4p/kX+Yf58/pv+xf7x/xb/Of9n/5z/zP/0AB4AUgCBAJ8ArwC7AL4AqQBtAAz/ov9p/6EAXwF6ArQD6QUTBi0HOQhFCVcKSQrsC1cL1gyEDQsNCgyWDCcL+gvTC2wK4AqICoUKpAqoCokKXgo5CiIKIAo1CmEKnQrhCxgLKwseCwoK+grbCqYKdQpkCmsKZgpEChsJ/wnpCcwJqQmJCWgJOAjuCJAIKwfQB5IHdAdpB1kHNwcHBs4GhgYoBb0FWgUKBL4EXQPjA2YC/AKcAjUBwwFVAPAAiAAT/57/N/7f/o7+Vf5G/lL+RP3x/Wf83Px//Fb8Sfw7/CL8B/v2++774vvN+7f7qfug+5P7fPtd+zP67vqE+f/5fvkd+OT4xfi1+Ln43Pkf+Wz5pfmy+Zn5cvla+Vn5Yfll+Wz5hfmr+cX5wvmt+Zn5i/mE+Yj5n/m0+a75kfmE+Zj5r/mq+aH50fpH+sT7CPsU+xr7NftV+2T7Wfsr+tT6dfpd+sb7h/wp/F38P/wn/ED8afxq/DT74vuc+3r7e/uL+5b7lfuV+6H7tfvG+9L73fvp+/T7/PwE/Av8Efwa/Cn8P/xT/GL8bvx6/If8lPym/Lv8zfzY/N/85/zv/Pf9Af0T/Sr9Q/1c/XX9jP2j/b393/4E/iX+Rf5r/pn+yf70/x//UP+F/7n/6wAdAE4AfQCtAOUBIAFVAYABpwHNAfICEwIzAlUCdwKWArQC0gLwAw4DLQNSA3kDngO9A9kD8gQKBCQEQwRpBJIEtQTMBNAExQSyBKIEnAScBJ0EmgSTBIkEfwR6BHkEeQR4BH4EjwSnBLoExgTQBN0E7AT5BQEFBQUEBP8E/AT8BP0E/gUABQcFDwUOBPwE4ATGBLcEswSzBLAEoQSKBHcEcgR4BHcEZQRKBFUEMwQnBCoEMQQyBCoEIgQgBCIEIAQaBBcEGQQaBBgEGQQgBCYEKgQuBDoESwRbBGkEdwSIBJkEqgS9BNQE6wUABREFIQUyBUgFYQV6BZMFqAW5BcUF1QXzBh0GRgZlBoIGpwbMBvAHHwdZB4EHcAc6ByMHVAehB8IHrAeTB5gHnQdzBxcGqgZABdsFfgUvBPAEtgR5BD4EDAPgA7IDfgNGAwoC0AKaAmcCNAH/AcsBlwFiASYA3ACDACX/1v+l/5D/i/+U/6n/u/+w/3//O/8B/tn+tf6J/lv+Nv4e/gT90v19/RL8rfxl/Dz8J/wc/BP8B/vw+8/7r/uY+4b7bfs6+uT6hPpU+oj7CPtk+yj6Uflc+Nz4/flu+bv5rflY+Of4cff895L3Pvb79sD2jPZn9lX2VPZk9oT2o/ao9pn2nvbB9rz2Q/Vx9NP01vVE9Yj1VPTr9Lj0zvTs9OD0tvSV9Ij0efRY9Cr0BPPu8+HzzvO788Hz7PQc9CTz/vPV89Hz7PQE9A70GvQw9Dz0M/Qm9Cr0NfQq9ATz4/Pl9AX0HvQc9ATz5/PK86zzk/OG84Tzg/N983LzafNg80/zMvMQ8vTy4PLM8rDyjfJq8kTyE/Hc8a7xjfFq8Tbw//Dq8RXxb/HG8ezx3vG68ZvxevE28L7wL++5723vNe757rbueO5B7gnt0+2q7ZftkO2G7W/tSe0V7Nbsk+xS7BXr3euk62brI+ra6pDqTeoY6fLp0umy6ZDpaek26PDomOg85+fnledA5ufmk+ZK5g/l5OXD5ablguVc5TflE+Tq5L/kmeR35FXkMeQU5AHj8+Pk49zj3ePe49jj0ePR49jj3OPh4+3kAeQN5Arj/OPu4+Pj3ePc4+Dj6OPz5AfkK+Ri5J/kzOTZ5M7kw+TH5M7kzOTP5O3lI+VW5W/lcuV25Zrl9eaD5xXnbudy5z7m/ObJ5sbnFOet6E7otejm6RPpWOmd6dHqBOpH6o7qzesR623r2exB7KHs/u1V7aPt9e5i7u/vi/AY8HzwqfC08NXxMPGr8g3ySvKL8vnzhfQL9Hj00vUg9Wb1pvXf9hL2Tfao9yb3qfgR+GD4r/kI+W358Pqe+2D8Avxu/Lz9Af0q/Rr84fy3/L786/0k/V39lP3F/fD+If5k/rj/DP9R/4b/t//wADYAhQDRAQ0BPAFsAaoB8gIkAiYB/gHNAasBmwGYAbAB7wJGApYC0gMOA2QDzwQ5BI4EzgUEBTsFdgWxBeoGJgZsBq0G0QbfBwoHfwg0COsJdgnaCjQKkwrvCzQLVQtTC0kLWwuLC7ULtgunC8UMMQzRDXAN8w5gDssPQQ+/EDwQsBEdEYQR3xIlElkSihK9EuUS+xMIEx8TShOLE+UUUBS0FPoVJRVQFY4V1RYTFkgWfBaxFuEXBhcaFxUW/BbqFvcXIRdRF4AXuxgGGEIYVBhFGDwYUBhyGIwYoRi/GO8ZJRlVGXsZmBmyGcwZ4hnpGdwZzxneGhEaUhqQGs4bGBtsG70cBBxDHHEceBxSHA0bwxuJG2cbXxtoG3EbcBttG3AbahtJGxIa4BrHGr0athqzGsAa2Br0GxYbThueG/McPRyFHNodMR1mHV0dJBzkHMUcyxzZHMwclxxPHBUb9RvhG8UbnBtlGxUanRoLGY8ZYxmiGj0a9ht6G4gbIxqPGgoZpBlaGUcZdhmzGZ8ZFBhQF50XERayFrEXMhftGEcX5RcGFjIVvRWfFaoVshWVFUsU8hSsFH0UWRRWFKIVORXXFjoWbRadFtYW+Rb5FugW1xa9FpUWdBZrFmEWNRXmFY0VNhTVFGcUBBPGE7ITvBPME8gTlhM1EsUSbRI9EicSExHzEckRoxGMEW0RIRCnEDcQBhADD+wPqw95D4sPvw/DD4APNg8xD2sPng+TD1QPFw7+DvIOxA5dDd8Ncw0oDPEMywy/DMAMrwx7DDoMCQvqC8sLpAt4C0kLGwr4Cu0K7grnCs8KtAqhCowKbgpJCiEJ8AmwCWMJGAjbCK8Ikgh7CFsILQf5B8sHoQdzBz8HDQbmBsEGlAZmBlIGZAaBBngGNgXiBbQFvAXSBdMFxQXBBc0F2AXaBdwF4AXaBbwFiAVJBQgEyQSUBGwETgQ0BBoD+APNA5sDcQNTAzoDIwMXAxoDHgMUAv4C5gLPArMCkAJwAlkCTAJIAksCSgI8AiECCAH1AeYB1wHQAdUB1wHLAbYBqgGqAakBmgF9AVsBPwErARoBBgDtANMAvQCnAIsAbgBYAEkAMwAR/+z/zv+4/6D/g/9m/0//OP8h/w7/AP71/uT+zv68/rP+r/6q/qX+pP6h/pj+jf6H/ob+gP50/m7+ef6N/pb+jP57/m/+aP5b/kb+Lf4U/f796f3S/bf9mv2B/Wz9V/1A/Sr9Gf0K/Pz88fzs/Of83fzQ/MX8vPyx/Kf8ofyc/JP8hvx8/Hb8cPxn/GD8Xvxb/Fb8T/xM/Ez8SPxB/Dr8Nvw0/DL8M/w0/DT8Mfws/Cr8Kvwr/Cz8L/w0/Dv8QvxF/EP8Pvw2/DH8Mfw0/DT8L/wn/CP8J/wq/Cn8J/wr/Db8Q/xM/FD8Vvxg/G38fPyJ/JP8nPym/LP8w/zT/OT89P0C/Qz9FP0a/SL9LP00/Tn9O/0//Ub9TP1N/U/9Vf1d/V/9W/1Y/Vn9WP1P/UP9PP06/Tf9Mf0q/SL9Gf0Q/Qb8/Pzu/N38zPy9/Kz8lfx7/GP8T/w+/C78HvwO/AP7+vvx++j74fvf++D73/vc+9n71/vS+8j7wPu9+777v/u++737u/u5+7f7uPu8+8H7x/vP+9j73Pvb+9r73/vp+/T7//wJ/A78D/wO/A/8E/wa/CH8Kvw1/D/8S/xZ/Gv8e/yJ/Jn8rvzG/N/89v0O/SX9Of1O/Wb9f/2U/aX9u/3Y/fb+Ev4u/k7+bv6L/qb+yP7y/xz/Qv9q/5n/x//xABsATQCFALQA0gDgAOQA2wC5AGz/+/+X/4f/+QDgAg8DWgSlBdoG9wgVCUcKbAtEC78MDwxgDJgMiQxHDBgMEwv+C6cLNgrzCvAK+ArfCq0KfApYCj8KNQpCCmIKjwrCCvALDAsXCx0LHAsECtEKoQqTCpwKmwqCCmcKXgpbCkgKGwnaCYwJMwjXCH0IKgfiB7EHmweUB4MHXgctBvwGwgZ2BhsFwwV5BSwEygRSA9kDcAMQAqYCMQG9AVEA5ABzAAT/n/9B/uX+l/5l/kb+E/2r/RT8f/wd+/38BvwP/AL77Pvk++379vvw+937yfu2+537evtN+xL6wfpa+ej5ffkl+Of4xvi/+NT5BvlR+Z/51vno+dr5v/mn+Zb5jvmN+ZT5oPmr+aj5k/lz+VL5Nvko+TP5WvmD+ZH5ifmQ+bb52fnb+dP5/Ppl+tX7DfsU+x77Qvto+3P7Xfsk+sP6W/pC+rP7e/wa/D38Evv4/Bb8Ovwu+/D7qPt4+2r7d/uP+5/7ofuh+6v7vPvL+9j76Pv4/AL8CPwQ/Bz8Jfwr/DP8RfxZ/Gn8dvyC/Iz8lfyj/Lf8zPza/OH85/zu/Pf9AP0P/ST9PP1Y/XT9kP2p/cT95f4H/ib+Q/5l/o/+uf7g/wr/Ov9v/6L/1AAGADYAYQCMAL8A+QEwAV4BhwGwAdkB/AIdAj4CYAKCAqQCxgLoAwcDJgNJA28DlAO0A9AD5gP5BA4EKgRPBHYElASjBKMElwSGBHgEcgRxBHEEbARlBF0EWgRcBGMEaQRvBHkEiASbBKwEugTEBM0E2ATkBPEE+AT2BO8E6wTuBPQE9wT3BPgE+QT1BOkE2ATIBLsEsQSnBJkEhgRyBG4EhASpBMAEsgSHBGEEQAQ3BDoEPAQ4BDEELQQvBDEELQQmBCcELQQxBC4ELQQzBDsEQARFBE8EYQRzBIQElASmBLYExQTXBO0FBwUfBTQFRwVbBXMFjwWqBcIF1gXnBfIF+gYKBiUGRAZiBoEGpAbIBu4HJgdxB6sHrQeEB3AHmQfaB/UH4gfRB94H7wfYB40HJAavBjkFywVvBSQE4AShBGgENwQKA9oDpANpAy0C9ALCApICXwIrAfgByAGVAVsBFgDFAHEALAAB/+3/5f/o//P/8v/P/43/S/8h/wn+7f7I/qb+i/5t/jz96v17/Qn8t/yO/Hv8YfxC/C/8J/wQ++H7tfuo+6/7nvtW+uP6dvpJ+nf63fsd+tz6GPk++NH4+vlv+b/5tPlc+OH4WffR9173E/bq9sj2mfZj9jr2K/Y99mn2mfaw9qz2qva69q32RPWU9RP1HPV99a71cvUa9RT1YfWe9YL1JfTT9LD0qfSa9Hj0UvQz9BPz6vPI89H0FPRq9I70Z/Qj9AH0EvQ19FL0cPSW9Lb0uvSm9Iv0bvRJ9CP0F/Qs9Er0UPQ39BXz+/Pn89LzvvO187vzw/PD87jzqvOb84fzaPND8ybzFPMC8uTyvPKU8m7yQvIR8efxzPGy8YLxPfEG8QXxRfGj8e/yDPIG8fHxy/F/8QXwefAI777viO9N7wzuz+6a7mnuP+4i7hLuBe3v7c7tn+1j7SHs5eyz7IHsSOwH68brhOs/6vnquuqJ6mTqReoi6fvpzOmQ6UXo7+iX6EHn6ueT50Lm++a95oXmWOY25hXl7+XE5ZvldOVM5SHk+eTT5K3ki+Ry5GLkU+RF5D3kPuRA5DrkMuQx5DbkPORF5FXkZuRp5FvkRuQ05CfkIeQk5C/kPeRN5GnkleTI5PLlAuT25N3kyuTC5L3kuuTL5QDlSOWA5ZHliuWK5bHmGOa151fns+er52DnCubV5trnMOfN6HPo5ukk6VPphemr6cPp6Oot6n/qx+sP62rr0+w17Ivs4e0+7Zzt++5n7uzvhvAd8IrwtvC58NLxJ/GZ8fHyJ/Jp8tTzUfO89BH0YvS29Qv1XvWu9fT2OfaQ9wD3dffa+C34e/jQ+TX5vfpv+yX7sPwG/EP8cfx9/F78O/xD/Hn8vPz5/Tn9gP3E/fv+L/5x/r//Ef9g/63/+gBEAIkAyQEJAU8BlwHfAiUCaAKeArEClwJhAioCBAH0AfsCIQJeAp8C1QMHA0cDnAP8BFcEowTeBREFQwV4BbAF8QZABo8GyAbnBxAHbQf9CJsJJwmgChAKdgrKCwcLMAtPC3ULsAv3DC0MRAxYDJoNEw2gDhMOYg6jDvIPWg/SEEcQsRETEXARvRHvEhASNxJpEpYSrxK8EtAS+BM5E5gUERSDFM8U+BUfFVsVoRXdFg8WPhZuFpcWtxbLFs4WwBayFr4W6BceF1cXlhfaGAsYFxgPGBUYNBhZGHEYgRicGMgY9xkdGTcZRxlSGWEZdxmQGZwZmhmeGbwZ8xo1GnsayRsfG3cbwhv6HBwcIRwFG8gbeBsxGw4bGRs7G1QbWRtWG1QbRxsfGuYauRqmGp4akBqBGoAajBqZGqYavhrlGw4bNxtrG7UcCxxMHGYcXhxMHEwcZxyQHKkcmRxrHDwcFxvrG54bMhq2GjMZrhlDGR4ZVhnXGnMa8xskGvAadBn2GZ8ZWxkWGPAZHBmEGcIZjRj/GFwXwRcsFr4WpRbKFswWahXKFUYVEhUmFV8VlxWrFY0VThT4FHcTyRNCE14UNBVOFh8WhxbEFv8XJRcmFxoXFhcKFucWwha5Fr4WphZkFhEVwBVlFPQUgBQqFAIT+hP9E/ATxhOFE0YTHBL/EtoSqRJ0Ek0SQRJJEkER/BF5EPcQrxCOEFwQFBACEFAQuhDPEHIP8g+mD5kPng+PD3IPWw9XD1UPOg74DpgOMQ3KDWcNFgzoDNgMwwyTDFMMHgv7C90LuQuMC1QLGgrxCuYK6wrkCswKtQqnCpcKewpcCkAKHQnlCZgJSAkBCMsIpQiKCGsIOAf4B7sHiwdgBzMHBAbbBrUGiwZhBkgGTgZkBmQGOAX3BcwFxgXJBbwFpgWfBa0FvAXCBcYF0AXWBcUFlwVTBQoEywSbBHcEVQQ0BBID7gPCA5MDbANOAzMDFgMEAwQDCgMGAvQC3ALDAqcCiQJtAlYCQQIzAi0CKgIgAgwB+AHlAc0BtwGzAcMB0QHEAaABgAF2AXoBdgFhAT0BGQD8AOcA0wC+AKsAnACLAHQAWQBBAC4AFv/1/9D/sv+a/4P/Z/9K/y//Fv7//u3+4v7b/tL+w/6y/qT+mv6R/oj+gf56/nD+Yv5W/lH+UP5M/kX+Qv5E/kX+Q/5B/kL+Qf42/iH+CP3v/dj9wP2n/Yz9cv1b/Uj9N/0m/Rf9CPz6/O385Pze/Nn80vzJ/MH8uPyv/Kf8ovye/JX8h/x7/HP8bvxp/GX8Yvxg/Fz8V/xT/E/8TPxJ/Eb8RPxC/EL8RPxF/EP8Pfw3/Db8OPw8/ED8Q/xG/Ev8T/xU/Fb8VPxQ/Ev8SfxL/Ev8Rfw9/Dr8PfxB/EL8QfxG/FH8Xfxn/G/8ePyD/I/8nfyr/Lj8xPzO/Nf84/zz/QX9Ff0h/Sr9L/01/T39R/1S/Vj9Wv1e/Wb9a/1r/Wv9cf16/X39eP10/XX9dv1u/WL9WP1S/U39Rf09/Tb9L/0m/R39FP0H/Pb85PzU/ML8rPyQ/Hb8YvxV/Ev8P/wy/CX8GfwO/AX8AfwC/AP7/fvz++v76fvm+9/72PvW+9f71vvW+9f72PvW+9P71Pva++D75Pvq+/D78/vu++n77Pv5/An8Ffwd/CD8Ivwj/CX8Kvww/Df8P/xJ/FT8Yfxx/IH8kPyc/Kz8wvzc/PX9C/0h/Tr9Uv1m/Xj9jP2g/bX9yv3j/f7+F/4x/lL+eP6b/rf+0/73/yD/R/9s/5b/xf/0AB8ATACBALgA5AD+AQoBCwD8AMkAaf/4/7f/4gCLAZoC5wRIBZoG0Af+CUEKiQuSDCYMWAxlDGcMVQwwDBcMEgwCC80LjgtxC3ILYQsnCt4KpwqBCl8KRApDCl0KhQqvCtYK+wsaCzALNgslCv8K2grMCswKxgqzCqYKrAq8CroKjwozCbUJLwjBCHAILgfuB70HqQenB5sHeQdQBy8HDgbaBpEGQwX7Ba4FTATXBGED9gONAxoCngIoAcYBdAEnANUAdgAH/5H/J/7W/pL+Pv2//Rf8cfwB++D78Pv9++z70vvU+/T8FPwb/Ar77vvO+6r7gvtV+xf6wfpa+e/5i/kx+Oj4vvi/+Or5NfmK+dL5+/oH+gX5+/nl+cb5rfmo+bD5svml+Y75dPlY+Tj5F/kH+Rb5QPlu+Yv5m/m4+ef6D/oa+iH6Ufqu+wP7IPsZ+yT7U/uC+4/7dvs4+tT6a/pS+sL7gfwM/Bn73vu/+9P75fvH+4v7WvtH+0v7Xft5+5P7ovuq+7j7y/ve+/H8BvwV/Bb8EfwT/CL8Mvw6/EH8Tfxe/G78fPyJ/JL8mPyh/LT8yvza/OL86fzy/Pv9A/0P/SH9OP1U/XP9kP2q/cT95P4H/ib+Qv5h/ob+rP7O/vX/Jf9Z/4v/vP/tAB4ASABwAJ4A1gENAT4BawGXAcIB5wIKAi0CUQJ0ApUCtQLWAvUDFgM6A2ADgwOiA7wD0gPkA/gEEwQ0BFIEYwRnBGEEWARQBEoESQRKBEwESQREBEAEQwRLBFYEYQRtBHkEhASQBJ0EqgSzBLgEwATRBOcE9gT3BPIE+AUIBRUFEgUABO0E4gTfBNwE2ATRBMcEtwSjBJAEgAR5BIQEpgTPBOMEzQSYBFIEQgRBBEMEQgQ+BDoEOQQ7BDsENwQ1BDoEQgRFBEIEQQRHBFEEWQRgBGsEewSNBJ4EsATBBNAE3wTyBQkFIgU6BVEFZwV+BZcFtAXRBeoGAAYVBiUGLAYxBj0GUQZpBoMGogbFBvUHPAeXB+EH9AfaB8kH5ggWCCkIFwgFCA4IIAgZB+QHhwcOBowGFAWvBVkFCwTIBJIEZAQ0A/4DxwONA1IDGgLnArUCgQJOAh4B7wG9AYMBQADxAKIAZABCADQAKwAkABsAAf/I/4D/Tf84/yr/Dv7s/tX+xv6k/lv98P14/RX83vzO/L78k/xf/EL8O/wm+/T7y/vN++D7xvtg+tX6aPpN+oj66fsY+sT57/kD+In4svk1+Z75p/lZ+N74UPe/90L29PbS9sH2oPZu9j72K/Y/9nP2qvbF9r72rvam9or2L/Wo9Uz1WvWi9bf1efVA9Wv15vY99iH1r/U+9P305PTS9Lf0k/Rs9Eb0IfQI9Az0O/SB9K/0o/Rv9En0VfSI9MD08PUU9Sv1K/UU9Ov0uPSC9Fv0VPRp9H30ePRa9Dn0IvQT9ATz9vPw8/Pz+fP78/Tz5vPW88LzpfOB82DzS/M58xvy8PLE8pvycvJF8h7yBfHy8czxi/FG8SXxQfGR8e7yMfJK8j3yDvG38TvwuPBN8Abv0e+a72DvKe757tHus+6d7obuae5I7iXt+O2+7X3tRe0Y7Ojsq+xk7CHr4uui62HrJur36tLqr+qJ6l3qJ+nl6ZnpSOj06JzoQefq56DnZOcu5vrmzOam5oPmWuYr5f7l1uWu5YLlV+Uu5Qfk5+TQ5MHkseSh5JrknOSd5JjkkOSN5JHkmOSl5LXkveS25KLkjeR75G7kbOR45IvkmuSs5Mzk+uUl5TblKOUI5Ojk0uTE5LnkuuTc5SLlcOWf5ablnOWj5dXmRObm54jn3+fL53LnG+bz5wvnaugC6KLpFOlN6WzpgumO6ZfpveoL6mjqt+sA61frvOwa7G3sxu0x7aXuEO527unvefAY8JTwx/DF8NTxHvGG8dLx/PI08pLy/vNS85Pz2vQ09Jv1CPV29dr2MPaC9t73Q/ek9//4VPin+Qf5iPop+sb7OfuD+7776fvu+877vPvk/Dn8kvzY/Rv9ZP2t/ev+Jv5p/rb/CP9e/7cADQBZAJcAzQEKAVwBwQIeAmECkQLCAu8C/gLeAqYCfQJ2AokCqgLXAwoDPANrA50D3gQvBIUEzwUGBTMFYgWXBdAGFAZrBsoHGgdPB4MH0ghCCLgJIQmBCeIKQgqYCt8LHAtbC6oMDgx3DM0NBA0yDXUN0A4pDmwOnA7NDxIPbg/VEDkQlBDpETgReBGdEbYR3BITEkgSZxJ2EoQSoRLcE0ATxRRFFJkUwxTjFRMVShV7FagV3BYWFkoWdBaQFpoWkRaHFpMWvhb7F0EXihfKF+wX7BfkF/EYFhg6GE8YYRiAGKsYzhjjGO4Y9Rj5GP4ZERkxGU4ZVhlSGWEZkxneGi0afBrTGy4bfBuuG8QbxxuyG3obJRrWGrQayhr5Gx0bJhsiGxobBRrbGqUafhpvGmgaWhpHGjoaOhpEGlMaZxp3Gn0afRqKGrAa5BsUGzQbRBtMG1obgRvGHAwcMRwtHBMb7humGygaghndGVgZARjrGScZpxo5GqYa0xq7GmsaBRm2GYoZWxkIGL4YzhlBGbwZ2hmSGRoYmBgLF34XDRa/FnMWFRW+FZIVnRXKFgYWOBZHFi8V+hWbFNcTpxKQElcTPxS4Fe4WkxbnFyoXVRdWF0YXRxdKFzMXDxcAFwUW9Ba7FnEWLxXsFZQVMhTlFLcUmBRuFC0T5hO4E7cTzhPNE5ATKRLLEp4SphLMEuESuBJREdwRhhFAEOkQmRCZEQIRexGOESMQhhAMD9APwQ/OD+EP5A/KD6MPhQ9xD1UPFA6eDgANZQz9DNEMvwykDHoMTwwnC/sLyAuVC2ILLwsKCvwK+AroCswKtQqqCpwKgApfCkUKJwn1Ca8JZAkgCOUItQiRCG8IPAf1B6sHcQdKBygHAgbZBrIGjgZqBksGOgY2BjIGHAX6Bd4F0QXIBbMFmgWPBZcFpAWsBbQFwQXMBcIFngViBR4E3gSoBHkEUAQqBAoD6APAA5MDbQNPAzEDEAL4Au8C8ALuAuIC0gK9AqQCiQJxAlkCPwImAhYCDQIEAfgB6wHYAbsBoAGYAaYBsgGhAXYBTwFCAUsBUwFIASgA/QDUALQAngCOAIIAdwBrAFoARgAyABv//P/X/7D/jv9z/1z/RP8o/wv+8f7e/tL+yv7F/sH+uP6p/pf+hf52/mf+Wf5Q/kf+Of4m/hr+Gv4e/iD+H/4f/iP+J/4o/if+Hv4M/fT93f3I/bL9mf1//Wj9Uv08/Sn9Gf0M/QD89Pzn/N381PzO/Mj8w/y9/Ln8tPyu/Kn8pfyh/Jj8ivx9/HP8b/xr/Gf8Y/xg/F78W/xW/FH8TfxM/Ez8S/xJ/En8S/xN/E38SfxE/EP8RfxK/E/8UfxR/FL8Vfxa/GD8Yvxj/GL8Yvxj/GL8XfxX/Fb8Wfxd/F/8Yfxm/G78d/x//Ir8l/yk/LD8vPzL/Nv86vz1/P79CP0W/Sb9NP0+/UT9Sv1P/Vb9Yf1s/XP9dv15/YH9iP2K/Yn9jv2W/Zn9k/2N/Yz9jv2J/X/9dv1t/WP9Wf1S/U39R/0//Tb9LP0f/Q/8/fzs/Nn8wfyl/Iv8ePxr/GD8VvxL/ED8Nvws/CT8IPwh/B/8FfwH+/37+/v5+/T77/vt++377fvs++377/vu++z77/v2+/z8APwD/Aj8CvwF+/37/vwL/B38Kvwv/DL8Nfw4/Dz8QvxI/E/8V/xg/Gv8ePyG/JT8o/yv/L781Pzv/Qn9Hf0w/Un9ZP16/Yj9l/2r/cL92f3x/gn+If44/lX+ev6i/sL+3v79/yL/Rv9o/4//wf/4ACkAVACBALUA6AEQASgBNQE0ARsA1wBxABcADAB2AVACfAPWBTkGiQfJCRUKawuNDDcMawxuDHgMgwx0DFEMMwwcDAIL6wvmC+ULwgt3CyoK+QrXCqYKcgpdCnMKmAqzCsoK7AsYCzoLRgs9CykLEwsBCvYK7groCugK8AsBCwoK6wqLCfAJTQjUCIwIUwgRB9QHuQe4B7EHkwdyB2IHWAc6BwAGuwZ3BioFxwVWBOQEeAQHA4YDAgKUAlICOgIvAgoBrwEjAIj//v+R/zL+xv43/YH8xvxA/BL8H/wn/Aj74vvi/Av8M/w+/C/8Ffvy+8j7n/t5+0T68fqE+hL5qPlI+Pr40/jg+R35d/nR+gr6G/oV+hD6Dfn3+cv5qfmn+br5vfmn+Yz5eflq+VD5Mvkk+TH5Ufl1+Zb5uPnj+hX6PfpV+nP6sPsD+z77Q/st+zH7XvuR+6X7lPtd+v/6oPqN+vX7m/wC++/7o/t8+4f7i/to+zn7JPso+zT7Q/tf+4L7oPu0+8n74vv9/Bn8NPxD/D38Kvwg/Cn8OvxG/E78WPxk/HD8fPyK/JX8nPyk/LX8y/zc/OX87Pz2/P79Bv0Q/SD9Nv1S/W/9i/2j/bz93P3//iD+Pf5c/oD+o/7D/ub/Ev9F/3f/qP/ZAAkANABcAIgAuwDvASABTgF7AaYBzQHzAhoCQQJkAoMCoAK9AtwC/gMiA0cDaQOFA5wDsQPFA9oD8wQNBCAEJQQiBB4EHgQhBCQEKAQtBDIENAQyBDEENAQ8BEYEUgRhBG8EegSDBI4EmwSkBKcErwTGBOQE9gT2BPMFAwUkBTsFMAULBOgE2QTbBOAE4QTdBNEEuwSiBJAEigSOBJoErQS/BL4EogR3BEoESwROBE4ESwRJBEkESARHBEYERQRHBE0EVARWBFYEWARfBGkEcgR8BIgElgSjBLIEwwTVBOYE+AUOBSUFPAVRBWgFgAWYBbEFzgXqBgQGHgY5BlEGXAZeBmIGcQaEBpgGrwbUBw0HYQfBCAwIJAgTCAYIHAhDCFUIRwgyCC8IOgg8CBwHzAdTBswGUgXpBYsFMwTtBLoEjARXBB4D5wOzA3sDPwMDAscCjgJaAiwCAAHOAZQBUwEIALwAgQBkAFoAUQBAACX/9f+w/23/S/9H/0D/If7+/u3+3/6z/lv96v2A/TX9Ef0G/PD8vfyD/GL8Vfw6/Ar76/vy+/j7u/s3+qf6VPpa+qr7Dvsy+sb5z/jA+C34UPjj+Wb5hflB+Mj4QPe99032/vbS9r32pfaA9lv2TfZm9pr2zPbh9tT2uPac9m/2HfW69X/1jPWz9ar1avVH9Yn2F/aL9p32WfX29Z71W/Un9Pn0xvSV9H/0i/Sj9KT0lfSc9Mn0/vUT9Qz1EvU/9X/1rfW29aX1h/Vj9TT0+vTA9Jn0jfSX9KL0nfSK9HD0V/RE9Df0LvQn9CL0IfQi9CL0GvQN8/rz4PO985vzgvNv81TzK/L98tLyqvKA8lzyQvIt8g7x2vGa8WvxavGk8gHyWPKC8nLyMPHM8Vfw6PCO8E3wGO/n77fvi+9j70DvJe8M7uvuw+6e7oDuXO4n7entse2C7UztCOy/7HvsP+wD68jrk+tl6zvrEOrj6rPqeuo36erpm+lK6PTomuhF6ADnyueZ52jnOucS5u3mwuaT5mfmP+YW5ejluuWQ5WnlSeUx5R7lDOT+5Pfk+OT55PTk7OTo5Ovk9OUD5Q/lDeT+5Ovk2+TN5MLkxOTW5Ovk+OUG5SblUuVv5WjlROUa5Prk5OTU5Mvk2eUL5Vnln+W75bPlquXA5gPmeOcY57Ln/+ff54DnMece50rnreg16L/pH+lJ6VTpV+lZ6WXplOns6k/qourr60Dro+wB7Ffsue0x7bHuIO597uHvavAP8JbwzfDD8MPxA/Fk8ajxxPHs8jzynfLl8xnzWPO29C30sfU59bX2GvZu9r/3E/dq98L4Gfhv+Mv5PPnC+kP6pPrt+zD7ZPty+2D7X/uV+/f8W/ys/PH9M/13/bz+Bf5U/qf+/v9a/7YACgBUAJMAyQEGAV0BzQIwAmICcQKNAskC+gL0AsQCpQK7AvMDKANVA4gDxQQDBDsEdwS/BQkFRgVwBZcFxwYABjwGggbaBz0HlQfWCBAIWQiuCPcJKwlZCZoJ8QpUCrYLFAt3C+wMcwz4DWINpQ3SDf0OLQ5ZDoMOsw7xDzoPiQ/ZECcQcBC2EPkRLRFOEWgRjhHFEfwSIBIxEjkSSxJ+EuYTdxQEFGIUjxSoFMYU5xUKFTkVehXFFgoWQBZiFmwWZBZdFmwWlxbaFywXgBfAF9YXyBe6F8UX5RgAGBAYJhhNGHgYkBiUGJQYmRifGKEYqxjJGO0Y/xkBGQ8ZRBmWGesaOhqOGucbMxteG20bahtRGxQauxpwGlkadhqmGsca0xrSGskatRqUGm4aUBo/GjMaIRoJGe8Z3RnZGeIZ8hn7GfYZ6hnpGfgaDxomGjgaRhpLGlEabxqxGwMbPRtPG0UbKBrjGmYZzBlMGQgZBBk4GZ4aHhqLGr4atRqHGkoaDRnhGcAZhhkcGLIYpBkTGbYaGRoMGbEZPRjJGFkX8BePFzYW7hbKFswW4hb8FxEXFBb0FroWfhYnFVkT7RJtEcwSghQOFYIWZhblF0YXhheQF38XfxeJF3wXWBc/FzoXLBb/FsQWlBZnFiwV6BW1FZQVaxUeFKwUPBQDFBQURxRQFAMTgRMTEukS+xMlEz4TKxLqEpYSRRHtEYMRLREpEX0R1RHREWUQzhBND/8P8xAlEGwQhRBQD/UPtw+vD7wPng8vDnoNvQ07DQYM/AzyDN0MvwyRDEwL/wvGC6cLkwt6C10LOwsNCtwKuQqrCp0KgApaCjgKFQnlCaoJcQk/CQ0I1QihCHIIPQf5B6wHawdBByQHAwbZBrEGlQZ/BmEGOQYTBfwF8QXoBd4F1AXJBbcFoAWPBYoFkAWbBaoFugXBBbYFlwVpBS8E7wStBG8EPQQaBAED5wPEA5oDdQNVAzUDFQL6AuwC5QLdAtMCxgK1AqACiAJxAloCPQIfAgYB9wHtAecB3gHNAa4BjgF9AX0BeQFjAT4BIgEdAScBMQErAREA5wC4AJIAewBwAGcAXABNAD4AMwAmAA7/6v+//5T/b/9S/z7/Lf8V/vb+2P7F/rv+s/6q/qP+mf6J/nP+X/5P/kH+N/4z/jP+LP4a/gv+C/4W/h7+H/4f/h/+Hf4V/gj99f3e/cb9s/2i/ZD9eP1g/U39O/0o/RX9Bfz6/O383vzR/Mn8w/y9/Lb8svyv/Kz8qPyl/KT8o/yg/Jn8jvyB/Hj8cvxt/Gb8X/xd/F78Xvxa/FP8T/xP/FD8T/xM/Ev8TPxP/FL8U/xS/FH8U/xY/Fv8W/xY/Ff8Wvxg/Gf8bfxx/HT8d/x5/Hf8dfxz/HX8evx9/ID8hfyL/JH8lfyb/KX8svzA/M383Pzs/P39Df0a/ST9Lv06/Un9Vf1c/WL9aP1u/XX9fv2I/ZD9k/2V/Zz9pP2o/aj9q/2x/bP9rf2k/aH9of2e/Zn9kv2K/X/9df1v/Wv9ZP1a/U/9Rf04/Sj9Fv0E/O781fy7/KP8kfyC/HP8Zfxb/FT8TvxI/EH8PPw6/Db8LPwe/Bb8FfwU/A/8CPwF/Ab8B/wF/AT8A/wB/AD8BPwN/BX8Gfwb/B/8Ivwf/Bn8GPwi/DL8PvxD/EX8SfxO/FP8WPxf/Gf8cPx6/IT8j/ya/Kj8t/zE/NH85Pz+/Rr9Lv0+/VL9bP2E/ZT9ov22/c795f38/hb+MP5H/l7+fP6h/sX+5P8B/yH/QP9f/4X/t//xACgAVwCEALQA6AEaAT8BVQFfAVkBMwDlAIoAXACKASACEANEBKMGBgdZCKkJ+gshC90MLQxXDJQMzQzMDJUMWQw4DCcMHAweDCQMDgvXC6ULkQt+C0EK6QqxCrAKwAq6Cq8KwgrzCyELNws+C0ELPQstCyALJAs4C0YLRgtGC0sLNgrcCjwJjgkUCNMInwhYCBEH6gfhB9EHrweOB4MHgAdrBz8HCgbRBoYGIgWzBUsE5wRzA+cDWgL1AtkDAgM9A0MC7AJJAZQA9gB1AAD/hP7v/jX9a/zO/I38kPyM/Fv8IPwP/Cn8RPxG/D78Nfwh+/n7zPuo+337MfrD+kj51fl1+TX5Ivk/+YL52Pom+k76RPoh+gf5+fnc+ar5hvmR+bf5yvm/+az5pfme+Yr5cPlm+W75fvmP+ab5yPnz+iL6UvqB+rP68fsz+137XPtE+0D7YPuP+677rfuE+zb66frh+z77v/v4+8b7bftE+077Ufs1+xn7GPsn+zL7PftX+4H7qfvF+977+vwa/D38Yfx3/HT8XfxJ/ET8S/xT/Fv8Y/xq/HD8efyG/JP8nPym/Lf8zPzc/Ob87vz2/P79Bf0O/R79NP1P/Wv9hf2b/bT90/33/hj+Nv5W/nv+n/6+/t3/BP80/2X/lf/E//QAIgBNAHoAqQDYAQUBMQFbAYMBqQHQAfoCIwJIAmgChQKiAr8C4AMDAyYDRgNiA3oDkgOoA74D1APmA/AD8gPwA/MD/QQIBA4EEQQVBBwEIQQjBCMEJQQrBDMEPgROBGAEbwR6BIYElASeBKQErQTDBNwE5ATYBM8E5AURBTIFKwUGBOYE3wToBO4E6gTgBNAEuQSgBJIElAScBJ0ElQSKBHoEZgRTBFsEXgRcBFcEVARWBFgEVwRWBFYEWgRdBGEEZARnBGsEcwR7BIIEiASSBJ4EqgSzBL8E0ATjBPYFCwUkBT0FUQVlBXwFlAWrBcIF3QX5BhIGLQZNBmoGegZ+BoYGmAasBrwGzgb1BzoHkwftCCoIOQgoCB4IMwhaCHUIcwhhCFYIWQheCEcH/QeFBv4GhQYbBbcFWQURBN4ErgR0BDkEBgPWA6ADXwMYAs4CiAJQAiUB/QHMAZMBVgETAM0AkwB0AGcAWAA+ABj/4v+f/2f/Uf9V/1D/L/8L/vX+3f6l/kv96f2a/WT9Q/0t/RD85fy5/Jz8gvxW/B/7//v1+8/7ZfrU+mb6Svp3+s/7Jfsz+rT5rviV9/n4Ffim+S/5Wfka+KD4Ive792v3Kfbz9s32s/aa9oP2ffaX9sX27fb89vL22Paw9nD2G/XM9ab1q/Wy9ZD1TPUp9Vz13/Zy9tb27fa79l72AfW69X/1M/Tk9M31CvVc9WL1E/TX9Q/1o/Yh9kX2N/ZE9nf2m/aG9kT1+vW59Xr1OfUA9Nz0zfTK9Mv0yvTA9Kv0jvRz9GT0XfRU9Ef0QfRF9E30TfRB9C30E/P189fzv/Oq84/zavM+8xTy7vLL8qjyifJr8kryHvHp8brxrvHb8jXyjvKy8o/yNPHH8WTxFPDW8J7wa/A98Bfv9u/U77HvkO9v70jvIO8A7ujuyu6Y7lzuIu3s7a3tZO0b7Nnsnexl7DDsAuvU66Hra+s26wXqzeqI6jrp6emZ6Ufo8+il6GToMOgB59LnpOd751LnJ+b65tHmqeZ+5k/mIOX25dDlruWR5XrlaOVc5VflV+VW5VHlS+VH5UnlU+Vi5WnlYuVQ5UDlNuUr5SHlJOU15UnlVOVg5X7loeWs5ZHlYOU05RblAeT05PXlEuVR5Z/l1eXa5cDltuXa5i3mqudF59foG+f055DnR+dE537n3ehP6LvpA+ke6SLpJukx6UvpgenX6jfqi+rX6y7rkuv37FvsyO1H7cbuMO6F7t7vXu/88IHws/Ch8Jjw0/E18XjxjfGn8fDyTfKR8rvy8PNP89P0ZvT29Xj15/ZF9pn25vcs93P3w/ga+Hf42/lH+bD6CfpW+pz61Pru+vP7B/tD+6H8Bvxe/KX85P0m/XX9z/4q/oL+3f86/5L/3gAmAG4AsQDzAUkBugIdAkICNgI9AnoCvwLJAqECjQK7Aw8DVgOHA78ECgRbBKIE5AUqBWsFmgW3BdUGAgY6BnQGtwcMB2wHwwgKCE8InwjuCSMJOglLCXUJwwopCpgLCguHDBYMsw1DDaoN5Q4IDiUOQw5hDocOvg8DD0kPhw/CD/4QPBB7ELcQ6BELESgRShF4EaoR0xHrEfMR/hIsEpcTLxPCFCQUVRRtFIEUlxS1FOoVNhWJFdIWCxYvFjkWMRYsFjwWZxapFwAXXhekF7YXoBeIF4wXoReyF70X0xf8GCIYMRgsGCoYNRhDGEkYThhkGIgYpRi0GMsZAhlWGa4Z/hpPGqUa7RsVGx8bEhrkGpAaMhn4GfwaJxpSGm0afBqEGn4aaxpTGkEaNBonGhUZ/hngGb0ZnRmGGXwZfRl+GX0ZfBmDGY8ZnBmlGa8ZuBm2GawZrRnJGfUaFBoZGhQaCxntGasZXhk4GVEZlRnoGjoahhq2Gr0aoxqDGmUaRhojGfcZrxk/GMgYmBjkGYgaGBo/GfoZhBkaGNEYmhhfGB4X6hfTF9AXzRfFF7kXnBdYFv4WthZyFcsUdBLOEcsSEhNiFOUWBBbAF0wXqxfIF70XuRfEF78Xnxd9F20XYBdCFxkW8xbNFp4WbhZOFjoWGBXMFVgU2xSFFG0UexRwFCkTwRN0E2ATbxN+E3gTXBMwEvsSvxJ0EhgRyxG1EdYR8hHQEW8Q9BCCEC4QGhBXELoQ7xDEEFgP9Q/ID70Pow9ODsMOMg3SDasNmg2BDWMNRw0ZDMcMZwwuDCoMNgwmC+4LnAtACuwKswqcCpIKfgpaCjAKBQnTCZ4JdAlVCTII/Qi7CHsIQAgBB70HfAdMBysHCAbbBrAGmgaRBnsGRwYFBdQFwgXDBcYFxQXCBbgFpAWKBXcFdgWGBZ8FswW1BaQFhQVeBS4E8ASmBF8EKAQHA/UD4QPFA6IDfwNfAz8DIQMJAvkC6wLbAsoCuwKsApkChQJwAlkCPgIeAgAB6gHeAdgB0AG/AaMBhAFrAVcBQAEjAQsBAQEFAQsBDAEFAPIA0gCpAIQAbABhAFgASAAwABwAEwAM//n/1v+r/4H/XP9B/zL/Kf8U/vD+yP6t/p3+j/5//nP+Z/5W/j/+Lf4l/iP+I/4o/jH+Mv4n/hr+GP4h/if+I/4c/hP+B/30/d/9yv20/Z79jP1+/W79WP1D/TL9JP0T/QL89/zt/N78yvy7/LX8svyu/Kn8pvyj/J/8mfyW/Jb8l/yV/JH8ivyC/Hz8dvxv/GX8XPxa/F/8Yfxd/Fb8U/xT/FT8UvxQ/E38TvxR/Fb8W/xd/F38YPxk/Gb8Y/xe/F38Yvxp/HD8d/x+/IX8ifyL/Ir8iPyL/JL8mfyd/KH8qPyx/Lb8uPy9/MX80Pzd/Oz8/f0O/R39LP07/Uf9Uv1d/Wr9dv1+/YT9iv2R/Zf9nv2n/a79sv20/bn9wf3F/cb9x/3L/cv9xv2+/bn9tv2z/a/9q/2n/Z/9l/2R/Yr9gP10/Wj9Xv1S/UP9Mf0d/Qf87fzU/L/8rfyc/Ir8ePxs/GX8Yvxe/Ff8UfxP/Ev8Q/w4/DL8M/wz/Cz8JPwg/CL8I/wi/B/8G/wY/Bf8Gvwi/Cv8L/wx/DX8Ovw7/Dj8OPw+/Er8VPxY/Fr8X/xl/Gn8bvx1/H/8ivyU/J78p/yx/L38y/zZ/OT89P0M/Sn9QP1P/V79dP2M/Z/9sP3F/dz98f4H/iL+Qf5b/m/+hv6k/sb+5P8A/xz/O/9c/4H/rv/hABcATACAALQA7AElAVUBcwGCAYkBfgFQAQQAxADBARABtgK0A/8FagbJCBcJYwqTC3AL8wxWDMENDw0GDLcMagxEDC8MGwwbDDgMTwxIDEIMVAxZDBcLmwsxCwAK4wqxCoIKhwq7CvALDQsjC0ILWAtZC1gLdAukC8ALuQunC54LhgstCowJ3gllCSkI+Qi1CGwIPAgjCAUH1wetB5UHgwdnB0cHLQcMBsoGZAX1BZYFPQTOBD0DpwNEAz8DkgP7BB8D0AMtAnsB4QFWAMoAPP+n/vj+M/2O/Tv9Kv0P/MT8bfxE/ET8Rvw8/D38UPxV/DT8APvU+6v7afsD+oj6FPm8+ZP5nfnL+gj6SvqD+pr6e/o4+f352Pmx+X/5Y/l8+bf54fnp+eb56fnn+df5w/m++cD5vvm4+bn5xvnf+gr6Tvqc+t77DPsu+0j7UvtK+0T7Vft7+6L7s/ue+2b7MPsz+3771vvo+6T7UPsw+zz7Qvsu+xz7I/s1+z/7R/ti+4/7vPvd+/f8Evww/FT8ffyd/Kn8nvyI/HX8avxn/Gv8cvx1/Hb8e/yG/JP8nfyn/Lf8yvzZ/OT87Pz0/Pv9Af0L/Rr9L/1K/Wb9gf2Y/bD9zv3w/hL+MP5R/nb+mv66/tj++/8l/1P/f/+s/9sACwA8AGsAmADDAO0BFQE8AWABhAGrAdQB/AIhAkMCYwKCAqECwQLjAwUDJQNFA2QDggOcA7IDwwPPA9UD1wPaA+UD8wP/BAIEAAP/BAMECgQOBBAEFAQbBCMELgQ9BFIEZgR2BIUElQSiBKsEtQTDBMwExASuBKMEuATnBQ0FEAT7BOsE8AT5BPUE5QTXBM0EvgSpBJwEnASeBJQEfARkBFYEUgRVBHYEcgRpBGEEXwRiBGUEZQRnBGsEcARzBHQEdgR7BIMEjQSUBJcEmgSjBK8EugTBBMwE3wTzBQYFGwU0BUwFYAV0BYsFowW4Bc8F6QYDBhoGMgZRBm8GgAaIBpgGtAbQBuIG+AcqB3sH2AgjCEgIRQgwCCgIQAhuCJQInwiUCIcIhgiHCG0IIAekBx0GpQY9BdkFewUzBP4EywSPBFUEJQP2A78DfAMvAtkChQJEAhoB9wHKAZQBWwEgAOMAqwCHAG8AVQAxAAj/2v+o/37/bf9t/2L/P/8W/vX+0P6R/j/99P3A/Zv9e/1c/Tz9HP0B/Oj8v/x8/DT7/vvL+2v63fpf+jL6Wfqj+uv7HPsL+oX5kviW+Aj4FviJ+QH5MvkC+I/4Efe394H3Uvcd9u32z/a+9rD2rvbC9ub3BfcX9xz3EPbi9ov2JvXY9bX1rPWb9W31LfT/9Q71cvYW9rz3GvcN9r72e/Zr9lz2CvWF9Tj1afXN9df1avUT9Wn2VPcq92/3TPc592H3h/do9wn2mvY39dz1iPVI9SX1FvUL9QP0/vT39OP0xPSl9JL0hvR59Gv0ZvRx9ID0hPR49GP0TvQ59CP0CvPw89LzrvOI82PzQ/Mk8wHy2fKv8oXyWPIm8fzx9/Ip8oPy0PLe8p/yM/HJ8X7xT/Ep8PzwyvCc8HrwXvA98Bfv7+/K76fvie9y713vPO8K7s3ukO5R7gztwu187T3tAuzK7JvscOw/7ATrxeuN61zrJurh6pDqPOnq6ZzpUOkJ6MvomOhp6DvoDefi57fniude5zXnDebh5rHmguZY5jPmEOXw5dblxuW+5bvluuW35bPlsOWu5bDluOXE5cnlwOWu5Z/lluWM5YHlguWT5aXlseXC5dzl8OXl5bnlheVb5T7lKuUk5TPlXeWf5ePmB+X65dTlyeX15lPm1edu5/roOOgM56TnWude56Dn++hY6Kjo2ujs6PXpCukr6VPph+nP6iPqdurI6yPri+v77HPs9O117evuSu6Y7unvVO/X8EfwdPBl8GHwnvEF8UzxYPF28b3yG/Jc8nfynvL784j0IvSw9Sv1m/YG9mj2t/bw9yX3avfD+CH4efjM+SH5dvnH+gv6PPpb+nb6ofrl+zz7mvv0/EL8hvzO/Sf9if3n/j7+mf72/0T/gf/AAA0AWwCkAPoBagHPAfcB6AHtAi4CfgKTAnICYgKVAuwDMwNjA50D8ARMBJsE4gUoBWUFjQWkBbwF4AYOBkAGfwbSBzAHhwfYCDAIlAjzCTQJVglwCZsJ4Ao2CpYLAAt8DBAMrw05DZQNxw3rDhYOQw5rDo8OvA7uDx4PRg9wD6MP4BAhEF8QlhDDEOYRBxErEVgRhxGqEbYRvRHnElES6BN1E9QUCBQqFEcUYhSGFL8VBxVQFZEVyxX2FgYWABX7FgkWLBZlFrcXGBdjF3gXYBdEF0MXVBdlF3AXgxeiF78XyxfIF8oX2hfvF/wYAhgSGDEYURhoGIUYvRkQGWgZuxoQGmYarxraGuUayhp/Gg0ZpxmDGaYZ4RoIGiAaOhpPGk0aMRoWGg0aERoQGgQZ6xnMGakZiRlwGVwZTRlFGUQZShlUGV0ZZBltGXoZhxmIGXcZXxlPGUcZPBktGSgZNxlJGU4ZVBl+GdYaOxqHGrIaxhrKGroanxqHGnUaXBo0GgIZxxl2GQsYsxi0GSEZuRoTGfoZlBkvGPkY4BjAGIwYWRg1GBsX/xfoF9wXyBeLFy0W2hadFiEVBxNyEigR7hLYFE0VoRaaF0cXuBfpF+sX5xfuF/AX3Be+F6gXmBeDF2QXQRcYFukWvxajFpAWdBZCFfUVkRUpFNYUoRR3FEUUExP5E/sT/BPjE7QTgRNVEzATChLbEqESaBJCEi4SEhHZEYsRNBDYEH4QRxBZEKgQ8hD5ELQQTQ/tD6kPeA9EDwAOvg6RDnQOSA4EDcUNoQ16DS4MzQyWDKAMvQyqDFYL2gtYCugKnAp9CnkKcQpVCi0KAwnVCaMJeQldCUUJHAjbCJAISggNB9IHmAdlBzwHEgbgBrIGmgaWBocGUwYCBbwFmQWWBZ4FpgWrBacFkwV0BVoFVgVsBYsFogWhBYsFagVGBRoE4ASYBE8EFwP1A+MD0wO9A6MDhwNpA0sDMAMaAwkC9wLgAsoCtgKmApcChQJxAloCQAIhAgAB4wHRAckBwQGxAZkBgAFnAUcBIAD8AOsA6wDwAO4A5gDbAM8AuwCeAH0AYgBRAEMALQAO//P/5//j/9T/t/+S/2//UP82/yj/IP8L/uH+sP6M/nb+ZP5R/kT+Pf4x/h7+Ef4S/hv+Iv4p/jH+M/4p/hz+Ff4V/hH+B/36/e/93/3M/bn9p/2S/Xr9Zv1X/Uf9NP0h/RH9A/z0/Oj84vzc/M38uPyp/KP8o/yh/J/8nvyb/JP8ivyG/Ib8hvyF/IP8f/x8/Hn8dvxw/Gb8Xvxd/GD8Yvxe/Fn8V/xX/Fb8VPxS/FH8UPxT/Fn8YPxk/Gb8a/xw/HH8bfxp/Gv8cfx4/H78hfyO/Jb8m/yc/Jv8m/yg/Kn8svy4/L78xvzO/NX82vzi/Ov89Pz+/Qz9IP0x/T79Sv1Y/Wb9cv18/Yn9lv2f/aX9qv2x/bf9vP3D/cr90P3S/dX92/3f/eH94v3j/eP93/3a/dX90f3L/cb9w/3B/b39tv2u/aT9lv2J/X79dv1s/V39TP05/ST9C/zy/N38y/y5/Kb8lPyG/H38d/xw/Gn8ZPxi/F/8WfxQ/Ev8S/xM/Ej8QPw7/Dz8P/w+/Dr8N/w2/Db8N/w6/D/8QvxE/Ef8TvxV/Ff8V/xa/GL8afxs/G/8dvx9/IL8hvyN/Jj8o/yu/Lj8wvzL/NT83/zs/Pj9Bf0b/Tj9Uv1k/XL9hP2a/a79wf3X/e/+BP4Y/jH+Tv5q/n7+kv6r/sf+4f77/xb/N/9c/4X/rv/WAAMAOwB4ALUA8QEwAWgBjQGgAbEBvwGyAYEBQgEdAS4BiwJOA3kE2QY0B30IzAobCzgMCQyqDS0NaQ08DNgMkQx5DFwMKwwaDEgMiwyzDNINBQ0oDPQMaAvRC2MLCwqtCmsKcAqqCtwK8gsNCz4LcAuKC6EL0gwRDDIMKQwSDAIL3gt5CtQKKAmxCXMJRQkJCMcIlAhuCEQIDwfbB64HgAdTBzsHPQc4BwUGoQYxBdUFggUWBIUD7QOHA4YD6ARhBJIETQO8AyUCnAIJAV4AtAAd/4b+3/5H/ez9wP2C/Rb8qPxt/F38Tvw6/EL8a/yH/HH8OPwC+9T7mftB+tP6ZvoW+f76HfpX+ov6tfrZ+uL6s/pV+ff5t/mJ+V/5UPl1+b/5/PoY+iP6Lvoz+iz6I/oe+hj6Bfns+db5w/m8+d36Nvqp+vz7FvsU+xr7LPs3+zb7PftZ+4L7n/ud+377Yfts+6D70PvI+4v7Tvs8+0b7Rvsy+yX7LvtA+0v7Vftw+537zfvy/A78KPxD/GT8i/yw/Mn8zvzA/Kf8j/yC/IL8h/yI/Ib8ifyS/J38pPyr/Ln8yvzZ/OT87fz1/Pv9Af0I/RT9Jv1A/V79fP2W/a79yv3r/gz+LP5N/nH+lP60/tP+9v8d/0X/bP+U/8D/8QAkAFQAgACqANMA/AEhAUUBaAGOAbUB2gH9AiACQwJmAogCqgLLAuwDDwM2A14DgwOgA7QDvwPFA8cDywPSA94D7AP1A/YD8QPsA+4D9AP6A/8EBwQRBBsEJAQxBEQEXARyBIMEkwSkBLIEvQTEBMQEvgS1BLgE0QT2BREFEgUFBQAFBAUCBO8E2QTTBNsE3gTPBLoErASiBJIEewRpBGQEagRyBIoEggR5BHMEcQRyBHMEdQR5BH4EgQSBBIQEiQSRBJgEoASmBKkErQS1BMEEywTUBOAE8gUFBRcFKQU/BVQFaAV9BZUFrAXABdcF8wYMBh8GMgZMBmcGeAaDBpwGwwbnBwEHJgdsB84IKgheCGUITgg0CDEIUAiDCK8IwAi6CK4IqAifCHkIIQehBxwGqgZIBesFlwVUBR4E6AStBHcERwQVA9sDmwNOAvACjgJCAhgB+wHUAZ8BaAE0AP4AzACmAIUAXwA0AA//8//V/7f/o/+W/4D/Vf8j/vX+xf6F/j7+BP3i/c39u/2k/Yf9a/1T/Tb9APyr/E379/uT+wT6afoT+ir6gvrQ+vf6//rZ+l35kfjA+EL4NPh5+Nv5IPkW+LX4L/fG9473afc89w/29vbs9uf25vb09wz3JPc791H3UPcY9qr2MvXe9bT1mfV39Uz1HfTv9OD1H/W19mL2w/ay9nb2gPbl9zr3A/ZJ9aD1hfXJ9dj1fPU49ab2tvex+Az37ffZ+Af4OPgh98L3SfbS9lv16/Wa9XH1YPVS9UT1OfUu9Rv0//Ti9Mj0svSg9Jb0m/Sr9L30xPS79Kv0nfSR9H70YvQ/9Bzz+fPY87nznvOB81zzLfL68sjykvJY8jHyPPKD8uDzGPME8rDyR/Hz8cDxofGD8VrxKfD88NnwuvCX8G/wSPAo8BDv/e/s79Tvru957zvu+e6z7mruJe3n7aztce067Qrs3Oym7GXsI+vr67nrg+s/6u7qmepI6fvps+lw6TTpAOjS6KToduhI6Bzn7ufC55fnbOdA5xDm4ua55pPmcOZP5jbmJ+Yi5iHmH+Yd5hvmG+Yc5h3mIuYq5i3mI+YR5gDl8uXk5dnl2uXp5fzmDuYk5jnmOeYY5eLlsOWM5XHlYeVm5YPltOXs5h7mMuYe5ffl7eYc5n7nAuea6CDoWugo57znced658PoHuhv6Kfow+jN6ODpDOlF6XfpounV6hrqbOrD6x/rg+v57IXtGu2h7gzuY+6x7v3vTu+n7/bwH/Ai8C7wcvDX8SDxNvFN8ZXx8/It8jjyTvKl8zjz2fRk9Nn1S/XA9i72g/a69un3KfeA99v4Ivhb+Jj45/k7+X/5rPnO+fn6OfqI+t77N/uR++X8MfyB/N39PP2V/ev+TP6r/vD/F/8//4D/zQAVAGYA0QE4AW0BcwGIAdICJgJEAi0CJQJVAqIC4gMSA08DpQQCBFMEnATgBRoFQQVcBXYFlwW7BegGJwZ8BtkHMweNB/YIbgjeCTMJcAmmCeAKHgpfCqUK+wtoC+4MfAz1DUcNeg2tDe8ONg5sDosOnw6zDsYO3Q79DysPZg+mD+kQKxBoEJsQwxDnERMRSBFzEYERghGkEgkSmBMbE3ITrBPgFBEUOxRlFJgU0RUJFUMVhRW/FdwV2RXQFdcV7xYZFl4Wthb/FxYXARboFukXARcaFy0XPRdRF2UXcxd6F4AXjheiF7QXwRfRF+kYAxgaGDsYdhjHGR8ZdBnKGiQachqmGrYalBo1Ga8ZRBkuGWIZohnFGdwaARomGigaAxnZGcgZ0BncGd0Zzxm1GZgZghl1GWgZWBlKGUQZRRlFGUIZQxlLGVkZaBltGWEZRxkoGQsY8xjhGOMZABkvGV4ZkhnbGj0amhrTGuQa3xrUGr4anxp/GmQaQhoUGegZzhmyGWoY+BiiGLkZNhm4Gd4ZpBlTGSIZCRjkGKoYbxhCGB8X/BflF+IX4xfFF3oXIxbVFmcVgxQZEqsSBRKQE/QVeBaZF0oXsxfvGAcYCRgKGA0YChf7F+YX0Be5F50XehdQFyMW/BbdFsEWoxaDFl0WHRW9FVAU9xTAFKIUkRSKFIYUcRRAFAATxhOZE3QTVBM1ExQS6hK5EoMSRxIGEcoRkhFMEOoQgxBIEFkQnxDgEOcQpxA7D9MPkQ9sD0sPIg77DtIOkQ44DesNww2iDV4NAQzIDM8M6AzNDGkL3gtVCuQKmAp4CnIKaApICh4J/AnfCbwJlAlxCVgJOQkECLgIaAgjB+sHtweEB1QHIwbtBrsGmwaRBoMGVAYDBbIFgAVyBXcFgQWHBYMFcAVVBUMFRQVZBXIFggWABW0FTQUoBP0ExgSEBEEECQPkA84DvgOvA5sDhQNrA1ADOAMiAw4C+gLkAs4CugKqApsCiQJyAlgCPQIeAfwB2wHEAbkBsgGkAZMBggFtAUsBHgD3AOIA3ADXAM4AwQC2AKoAmwCGAGkASwAzACIADf/u/9D/wP+7/6//lP90/1j/PP8i/w7/AP7p/r/+jv5q/lb+SP46/jT+NP4v/iL+Gf4d/if+LP4r/ij+Iv4U/gP99f3s/eL91/3O/cX9uv2q/Zr9if1z/Vj9Qf0v/SD9Dfz7/O384PzS/Mj8xfzC/LX8o/yW/JP8lPyU/JT8lfyT/Ir8f/x5/Hj8ePx3/Hb8dPxz/HL8cvxw/Gr8ZPxh/GL8Yfxd/Fr8WfxX/FT8U/xS/FL8UvxW/F78Zfxp/G38dPx7/H38e/x6/ID8hvyL/I/8mPyi/Kr8rfyu/K/8sPy0/Lz8xfzN/NT82/zi/On88/0B/Q/9F/0f/Sz9P/1S/V79af12/YT9j/2Y/aT9sv29/cL9xv3N/dP91/3b/eL96P3s/e798f31/fj9+/38/fz9+f32/fL97f3m/d/92v3Y/dT9zf3E/bj9q/2e/ZT9jP2C/XX9ZP1U/UH9K/0S/Pr85fzU/MT8tPym/Jr8j/yE/Hz8d/x1/HP8bfxk/F38XPxf/F/8W/xX/Fb8WPxX/FX8U/xV/Ff8V/xV/FP8UvxT/Fj8Yvxt/HP8c/xz/Hj8fvyB/IX8jfyW/J38ofyo/LT8vvzI/NL83vzo/O389P0A/Q79Hf0w/Un9Y/13/Yf9mv2u/cD90/3p/gP+G/4u/kL+V/5s/n/+lP6s/sT+3P70/w//MP9Z/4X/rv/S//sAMgB1ALYA9AEzAW8BnAG4AdQB9AIFAfMBxAGSAXYBlAIYAxMEUwWWBs8IIwmYCwEMMQ0eDboN4g2VDS0NAw0HDOIMhwxLDG0MxQ0PDUsNnQ3mDdkNYAy3DBULfQrxCqAKqAriCwsLFQsmC1QLhwutC9cMGAxZDHUMawxZDEoMHQuxCxAKcAn+CbwJiwlVCRsI5gi0CH8ISQgTB9cHkQdTBzsHSgdVBzAG1gZsBhAFugVPBMQEMAPLA8cEJASdBNAEkwQUA5MDGAJ3AaYA1wA2/7b/N/69/mT+I/3J/Uj80fyT/H78ZvxM/FX8hvyv/KX8c/w8/An7zvuB+yX6xvp8+mf6jPrI+vT7C/sb+xb62vpl+en5kvlf+UD5QPlx+cb6E/o++lT6Z/p3+n/6fvp1+l76O/oZ+ff5zPmm+bT6Fvqm+xH7K/sT+wP7D/si+yz7M/tH+2X7f/uI+4P7gPuO+6n7t/uk+3j7VftL+0n7Pfsp+yL7MftG+1T7Yft6+6X71fv+/Bz8N/xU/HT8lvy3/NL84Pzc/Mb8rPye/J/8o/yg/Jv8m/yi/Kj8rPyy/L38zfzc/Or89vz+/QP9B/0M/RP9If03/VX9df2R/ar9xv3l/gb+KP5J/mr+iv6o/sn+7v8V/zr/Xf+B/6r/2QAKADoAZACOALgA4wELATABVQF8AaMBxwHpAgsCMAJVAnoCngK/AuADBwM0A2MDiwOnA7UDugO6A7sDvwPHA9ED3APkA+YD4wPgA+ED5wPvA/cEAQQMBBcEHgQoBDoEUwRrBH0EjQSeBLIEwATHBM0E3QT6BR4FPwVRBU0FOAUjBRoFFwUKBPAE3QTmBQMFFQUJBOgExwSwBJ8EkQSIBIgEjASOBJkElQSRBI0EiQSFBIQEhgSMBI8EjgSMBJEEmwSiBKYEqgSyBLoEwQTJBNME3gToBPUFBQUWBSYFNwVKBV0FcAWEBZsFsQXGBd4F+QYRBiEGMQZJBmEGcAZ/Bp0GygbzBxgHUQexCCAIcAiGCGwIQwgqCDEIWAiOCLoIywjDCLIIoQiHCFAH8Qd3Bv0GlwZABfIFrAVxBTsFBATMBJoEaQQyA/cDuQNuAwgClwJAAhYCAgHiAbABegFJARkA7gDMAKsAgQBWADkALgAiAAn/7f/R/63/dv84/v7+yf6N/kv+Ff33/fL9+P32/eH9v/2d/Xf9OPza/G77/vt4+tP6RPoZ+l36wvr7+wH69frP+mb5t/j/+IL4WPh4+M75LPlM+Qb4e/f79673gfdX9zT3Jvcr9zH3Nvc/9033Xvd094r3gPc19rX2OPXr9cH1l/Vo9UT1K/UL9PD1DPV39fb2JvX39c72JPbz96D3j/bB9db1bPWD9Z31cvVT9b/2tPel+Bf4Ivgu+Gj4nPiR+Ef34Pdq9uP2WvXy9bv1pvWY9Yr1e/Vq9VX1PvUj9QP05fTS9NL04vT29QT1CfUG9QD0+vTv9Nn0tfSM9Gb0RfQm9Anz8fPV86/zfvNM8xfy1fKO8mfyivLt80zzZvMt8s/yffJJ8ijyBvHe8bHxg/FZ8TPxD/Dp8MPwo/CO8H/wcfBe8EDwFu/i76TvXe8T7s3ukO5a7iPt6e2x7X7tSe0L7MfshexL7Bbr3Oua60/q/eqs6mHqGunZ6Z/pa+k76Qvo3Oiu6IHoVOgn5/rnz+ej53bnSOcd5vbm0+a15p7mkOaL5ormiuaJ5onmjOaO5o7mj+aR5o/mg+Zu5ljmROYz5inmK+Y65k7mZOZ75ofmdOZD5grl4OXG5bDlpuW15d7mDOY05lDmWOZF5ijmJuZX5rjnOufP6FDogehJ59rnkeeg5/PoVOie6MPoyejJ6OPpJOl06bHp0unw6iTqdOrP6yTrduvf7G/tE+2i7gzuZu7D7xjvVe+B76nvze/k8APwSPCl8OrxBPEd8WPxvfHv8fHx/PJM8t/zg/QT9I/1BvV+9e/2SPaH9rr29vdD94/3xffn+A74T/in+Pn5Mvld+ZL53fo4+pX67/tI+5v76vw9/Jf88P1G/aH+Cv5r/qT+tv7F/u//LP9q/7EADwBxALQA2AEHAVYBogHBAbwByAH+AkYCgQK0AvYDTQOoA/wERgSGBLkE4AUDBSoFUQV3BacF7AZFBqEG+QdZB80ITgjDCSAJbQm0CfgKMwpqCqgK+QteC9EMRgyrDPQNKw1pDboODg5KDmQOaA5pDnEOgw6gDscO9g8sD2sPtBABEEcQfhCrEN0RGhFJEVQRSBFcEbUSPRK4EwsTSxOPE9QUDRQ4FGEUixS5FPUVQxWNFbEVrxWkFaUVtBXRFgUWThaOFqUWlhaEFowWqhbMFuUW9RcDFxMXJRczFzkXPxdOF2UXfheVF6kXvRfVF/4YPxiQGOIZLhl9GdQaJxpkGn4aYhoFGX8ZFBj8GSsZZBmDGZoZwxnuGfYZ0xmkGYYZgBmLGZgZmxmLGXQZZxlmGWUZWhlNGUUZQBk3GS4ZLBkyGToZPhk9GTYZJhkVGQkZAxkCGQwZKxldGZgZ1hocGmgarBrTGtsa1RrKGrYakhpoGkEaFxnlGbsZthnEGakZPRi8GJEY5RlvGcAZtBmAGVUZNBkGGMkYkhhuGFIYMxgXGAkYChgEF90XkBcwFroV9xS5E0ASTxKPE+sVlRbLF2MXrhfuGCAYMRgrGCkYMBgwGB4YAhflF8oXrBeGF18XPBcdFvsW1xa1FpcWahYhFcgVfxVVFT0VIxUCFOAUuRSJFFYUKRP/E9UTqxOHE2cTPxMJEsgSgxJEEhER6BGvEUgQuxA+EBAQQxCnEO8Q6RCcED8P/A/MD4sPLw7VDpYOaA44DgkN5g2/DXgNHgzjDN8M6gzFDF4L2AtgCwsK2grGCroKmQpbChgJ7AndCdUJvwmeCX4JXwkvCOgIkwhFCAkH2AenB3EHOAb9BscGoQaMBnkGTgYGBbcFfQVjBWAFYwVjBVoFTAVDBUYFUAVZBVwFWgVWBUoFMQUNBOAEqwRvBDAD+QPQA7cDpwOaA4oDdQNeA0gDMwMdAwUC7wLeAs4CvwKvAp8CigJuAk8CMgIVAfQB0gG6Aa4BpgGbAY0BgQFwAVIBKwEIAO0A1AC9AKwAoQCTAH4AaABVAEEAKAATAAb/9//b/7r/pv+f/5L/df9T/zj/IP8F/uv+2P7D/qH+ev5f/lT+Tv5H/kT+RP5B/jb+K/4p/iz+KP4f/hT+B/31/eH90P3F/b79t/2y/av9nv2N/Xv9aP1R/Tf9If0Q/P786vzZ/M38wvy1/Kr8pfyg/JX8iPyA/IH8g/yE/Ib8ifyI/IH8d/xx/G78bfxu/G78bvxs/Gv8bPxt/Gr8Zvxj/GH8Xfxb/Fv8W/xZ/FT8UvxT/FP8U/xY/GL8a/xv/HP8fPyF/Ir8i/yP/Jf8nfye/KL8rPy4/L78wPzD/Mf8y/zN/NL82Pzh/On87/zz/Pj9A/0W/Sj9M/06/Ub9Wv1v/X39iP2V/aP9rP20/b/9zP3X/dv94P3m/e398P3y/ff9/f4C/gX+CP4L/g/+Ev4U/hT+Ef4O/gv+B/4A/fn99P3w/er94v3Y/c/9xf24/av9n/2U/Yj9ef1q/Vv9SP0w/RX8//zt/N/80vzF/Lb8qPyc/JP8j/yN/Ir8g/x5/HD8bvxx/HX8dfxy/HH8cvxz/HH8cPxz/Hf8ePxy/Gv8Zvxm/Gv8d/yG/I38jPyK/I38lPyX/Jv8o/yu/Lf8vPzF/NH82/zi/Ov8+f0F/Qr9Dv0Z/Sr9O/1L/V79dP2I/Zr9rf3A/dL94/34/hH+Kv5A/lD+XP5n/nb+jP6l/r7+1v7w/w3/K/9P/3n/pP/N//oANAB5ALoA9AEuAWsBnwHHAe4CGwJAAkkCMwIIAdgBxgILAsUD0QTvBhAHVwjVCmkL4w0jDf4OQQ39DaMNkg2sDYUNCwylDLENFA2CDesOYg7RDvIOqQ4WDV0MjQvJC08LPAtfC3gLeQt8C4kLkgueC80MIAxqDIEMcAxcDEsMHwvBC0EKxQpmCiMJ7wm+CYcJRgj9CLQIdgg9B/sHrQdoB0oHUQdXBzYG7gaWBkAF6AV+BP4EeAQXBAsEWgTHBPQEuwRHA9QDXAKtAb4AzAAX/53/OP7a/o7+S/3u/XT9B/zL/Kz8iPxo/G78nfzI/Mv8rPyB/Ez8Cfu++3H7Jfrk+s367Psi+0b7TvtK+zL65/pk+dX5a/kw+RX5Iflh+cb6Jfpg+n/6mPqy+sX6xvqw+ob6V/o1+hf55/mx+ar6APqW+xf7Sfs6+yD7Hfsx+0r7Xvtr+3L7dvt/+4z7nPup+6/7p/uP+3D7V/tF+zP7HvsT+xv7NPtN+177bPuG+6772/wC/B/8PPxf/IX8pPy7/M382/ze/ND8vvy2/Lr8vfy2/Kz8qPyr/K/8sfy3/MH80Pzh/PL9Af0L/Q/9E/0Y/R79KP06/VP9bv2J/aT9wP3e/f7+IP5C/mD+e/6V/rX+3P8E/yr/Tv9z/5v/yP/3ACQATQB2AKEAzQD3ASABSAFyAZoBvgHhAgQCKQJOAnMClgK4AtsDBQM2A2cDjQOkA60DrwOtA60DsgO6A8MDzAPTA9gD2QPZA9wD5QPwA/kEAgQLBBYEHQQmBDUETgRmBHkEiASaBK8EwATKBNsFAwVCBYIFpgWiBX4FUQUxBSUFIwUaBQgE/QUMBSsFPQUtBQUE2wS/BLIEqwSnBKQEoQSdBKoEqwSoBKIEnASWBJQEmASfBKEEnQSaBKAEqgSwBLAEswS9BMkE0gTYBOAE6wT4BQQFEgUhBTEFQwVWBWgFeQWMBaEFtgXKBeIF/QYTBiIGMwZKBmAGcAaDBqUG0Qb6BygHdgfqCFwIlgiJCFQIJQgWCCsIWAiNCLYIxQi4CJoIcwhBB/sHnwc3BtUGgQY5BfgFvgWJBVMFGwTmBLYEhARMBBMD1wOGAxICkgI0Ag4CAgHqAb8BjQFfATQBEAD0ANcAsACJAHUAdgByAFoANgAR/+L/of9Y/xf+4f6q/mv+MP4N/g3+IP4t/h79+f3P/Z/9WPzz/ID8B/t5+t36bPpm+r37F/s1+yj7HvsF+qn5//lD+Lz4h/if+PP5VfmA+Un4y/hL9/P3uPeF92T3Y/d695L3n/ek96f3rfe397n3kfcr9qX2PfYP9fn1zfWS9Wr1W/VH9Sj1KPVg9aD1oPVl9VP1x/am9133Yvax9dH1VPVV9X71gvV/9c/2ifde9/H4O/hy+K/42fjV+Kn4Yff492f2yvZP9gr17vXh9dX1xPWs9ZH1efVg9UD1IPUS9Rz1NPVH9U31TvVP9VD1TPU/9SL0+vTR9K/0kPRv9FD0N/Qf8/vzzvOh82vzH/LO8rDy8PNv887zyPNt8wjyzfK18prybPI18gTx3PG38ZDxaPFB8SHxCvD78O3w2/DA8JzwcvBB8AXvvu917zbvAu7R7pruYO4n7fDts+1w7Srs6eys7HDsM+vy66zrXusP6sTqgOpC6gnp1Omi6XHpP+kR6OTouOiK6F7oNOgM5+LnteeI517nO+ch5w7nAeb65vnm+ub65vvm/Ob85vrm9uby5unm2Oa/5qXmkOaA5njmfOaJ5pzmsubF5sbmpeZr5jTmE+YB5fHl7eYD5i7mV+Zv5nvmfOZx5mTmbeag5vzne+gM6IXoquhp5/rnt+fQ6Cvoj+jR6Ofo2+jU6PfpTOmv6fTqDeoY6j/qjurr6zLrZeus7Czs0+1t7eLuTu7H7zLvZ+9u73Pvje+x79vwG/Bu8K/wzfDn8SXxd/Gn8avxt/IB8onzKPO/9Er0y/VB9an2AvZM9oX2tfbn9x33Sfdl94D3tfgO+HX4yvkG+T35h/nn+k36rPsB+037mfvs/Ej8p/0G/Wr90f4k/kv+S/5K/mT+kv7D/v7/Tf+p//sAPgCDANABDAEnATgBYgGnAe0CIgJTApQC5QM+A5MD4AQeBEkEbQSXBMkE+wUqBWEFqwYEBl0GtQccB5wIJgihCP4JSgmQCc8KBgo+CogK6gtXC8AMHQxsDKsM5Q0oDXsNzg4KDiQOJw4pDjYOTw5uDo0Oqw7PDwIPSA+aD+oQLRBlEKMQ7REnETIRFxEWEV4R3RJWEqgS5xMyE4UTyhP6FB8URBRyFLQVCBVSFXYVcxVoFWkVdBWIFa8V7BYlFj0WOBYwFj4WXRZ/FpgWqRa2FsQW1BbgFuEW4hbxFxAXNRdTF2oXgBefF9MYGxhrGLAY6hkqGXgZzBoRGjkaLxnoGXIZBxjeGPUZIRlDGWAZhRmnGbEZoBmAGV4ZRBk9GUkZVxlVGUcZPhlBGUQZPBkyGSsZKBkiGR4ZIRkpGSoZIhkXGQ0ZBBkBGQkZGRknGTQZShl1Ga8Z7RooGmEakhqvGrYasRqnGpMabRo+GhEZ5RmzGYgZgxmgGaQZWhjmGKkY3BlLGZgZnRl8GV0ZQRkaGO0YxxiuGJYYeRhVGDQYJxgyGDcYDxezFzsWkBVyE/ISvhK3E/4VwxcKF48XvxgAGEgYZhhaGFAYWBhfGFAYMRgUF/sX4BfAF5wXehdbFzsXFhbvFsQWlBZeFioWBRXsFcsVlBVSFRoU8BTMFKoUhxRgFDET/RPPE6UTeBNCEwcSyhKPEloSLBHvEYQQ6xBXEBMQOxClEQERGBDuEK4QdBAsD7UPEg6ADjoOPQ5VDlIOLQ3vDaINWA0rDSMNHAzmDHUL8AuNC2MLZAtyC2sLNgrVCmMKCAncCdYJ1gnHCacJfAlICQQIsghiCCUH9wfIB44HTAcMBtQGqAaKBm8GRgYKBcQFigVoBVkFUQVGBTgFNAVBBVsFawViBUcFMQUpBSUFFATyBMQEkgRZBBwD5AO5A54DjwOCA3EDXANGAzMDIQMJAvAC3ALQAsYCuQKrApwChwJoAkUCJwINAfAB0QG4AagBnQGQAYUBegFqAVABNAEcAP4A0wCpAJIAigB4AFQALwAcABQACwAA//r/7//P/6X/iP9//3T/Vv8x/xb/A/7u/tf+x/65/qL+hf5y/m3+bf5m/ln+Tf5B/jH+Iv4Z/hL+Cf3//fX96v3Y/cL9s/2s/av9qv2k/Zj9hf1v/Vr9Rf0v/Rv9Cvz5/OX8z/y9/LL8qfyd/JH8iPyA/HX8bfxq/G38b/xy/Hb8evx6/Hb8cfxr/Gb8ZPxl/Gj8afxn/GX8Zfxm/GX8Y/xh/F38WvxZ/F38X/xd/Fn8WPxZ/Fj8V/xd/Gj8cfx1/Hn8gvyM/JP8mPyg/Kn8rfyu/LP8v/zM/NL81PzZ/OL86fzr/Ov88Pz5/QL9CP0L/Q39F/0p/Tz9Sf1R/V79c/2J/Zj9pf2y/b/9yv3S/dz95/3w/fX9+f4A/gb+CP4K/g3+E/4Y/hz+H/4i/iX+J/4p/in+Jv4j/iH+Hf4Y/hH+DP4H/gD99/3v/er94v3U/cH9sf2l/Zr9jv2A/XL9Yv1N/TT9HP0L/P387/zf/M/8v/yz/Kz8qvyo/KT8m/yS/In8hfyH/Iv8jPyL/Iz8kPyU/JP8j/yQ/Jb8l/yS/Ir8hPyC/IX8kPyd/KT8o/yf/KP8q/yv/LH8uPzE/M781fze/Ov89vz9/QT9E/0h/Sj9LP03/Un9Wv1o/Xf9iP2b/az9vf3P/eH98/4F/hn+L/5E/lT+XP5i/m/+hf6g/rj+0f7w/xH/L/9L/27/mf/J//wAOQB+AL0A8gEnAWMBnwHUAgYCOgJoAoMChwJyAkQCGAIlApgDZARaBWQGlQf0CXIK/Ax9DbYOUg5FDfgN3w3xDdMNaQ0PDSANmA43DtgPdQ/3EDQQIA/HDysOTw1gDKcMRgwgDAsL/QvvC8kLiAtdC4ML7wxRDG4MUQwpDAkL4gupC2cLJwroCq0KewpPChcJwglWCOsIlwhTCA0Hvwd9B1kHTQc/BxwG5gaoBmIGDwWsBTsExwRrBE8EgATOBOoEtQRTA/EDgQLQAdUAzwAC/3r/F/7G/on+VP4N/bH9WP0W/N/8p/yB/Ij8sfzX/OP82fy+/Ij8Ovvp+6j7cftB+yz7Qftt+4f7gvtq+z/66vpj+c/5WPkP+O34/flK+cP6OPqF+q76y/ro+v76/frb+qP6bvpO+jn6E/nh+c76CPqF+wn7W/tt+1z7UPtj+5D7ufvD+677l/uV+6f7u/vD+7v7qvuR+3P7U/sw+xH6/vsD+xv7OvtS+2T7ePuV+7375fwF/B/8Pfxn/JP8sPy9/MX80fzX/NP8yvzK/ND80fzI/Lz8tvy2/Lb8uPy//Mn81/zo/Pv9C/0V/Rv9Iv0r/TT9Pf1J/Vn9bf2D/Z39uv3X/fT+FP42/lT+a/6C/qD+xv7v/xf/P/9n/5D/vf/rABkAQgBpAJMAvwDrARYBQAFrAZMBtwHaAf0CIgJGAmgCiQKsAtIDAQM0A2MDhAOWA6ADowOjA6UDqgOyA7oDwQPJA9AD1APWA90D6gP4BAEECAQQBBoEIwQrBDgETQRmBHsEjASfBLUExQTPBOEFDQVSBZIFrQWZBWkFOQUfBR0FKAUxBS8FKgUsBTUFNgUiBQAE3wTKBMIEwAS8BLUErgSqBL4EvQS2BK0EqASlBKYEqgSxBLQEsQSuBLEEuAS8BL0EwQTLBNcE3QThBOkE9QUDBREFHgUrBTwFUAVjBXQFgwWTBaYFuQXNBeMF+wYQBiIGNgZOBmMGdQaMBrIG2wcCBzUHkggPCHgImAhuCC4ICwgTCDcIZQiRCLIIvgitCIAIPgfxB6EHUQcEBrwGewY+BgUF0AWdBWgFMAT8BMsEmQRlBDED9gObAxcCigIqAgYCAAHwAc8BqAGBAVoBOgEgAQQA3QC4AKkArgCrAJIAbABDABH/zP+A/z//Dv7b/p3+X/42/iv+Nv49/jD+EP3n/av9UPza/GD77Ptx+vf6sPrJ+yf7c/uA+3D7b/tl+w/6XPmO+Pv4y/jx+UP5ifmU+Vf49PiW+Ez4CPfH96D3p/fP9/f4CfgE9/j38Pfp9873g/cI9oz2SvZK9lb2OPX39b71ofWJ9Wr1WPVk9Xb1ZvVA9UT1o/Y69q/2tPZK9b/1bfVz9aH1uvXA9fP2f/dD9/n4efjL+QD5G/ke+Q744viB9+b3Ovay9mP2P/Yu9iL2EPXx9c71svWc9YL1Z/Vd9Wr1gfWO9Y31iPWI9Yn1hfV19Vr1N/UX9Pz03vS69Jj0gPRq9En0H/Px87fzZPMU8w3zcfQI9GP0QfPM82DzK/MY8vnyxPKJ8lryN/IV8e7xx/Gk8YrxdvFl8VLxN/EU8Ozww/CW8F/wHe/b76Tvde9D7wjuye6O7lPuEu3N7YrtTO0P7M/sjuxN7Afru+tt6yPq4eqm6m/qOuoI6dXppOl06UbpGOjr6MHomuh06EvoIOfz58jnpueP54Dndedt52vnbOds52rnaOdl517nVedK5zvnJecJ5u7m2ubO5srmz+ba5uvm/ucJ5v/m1uaa5mTmReY05inmKeZA5mbmhuaX5p/mpOan5qvmv+by50jnwehL6Lboy+iA6BTn3ugA6Fzou+jz6Pvo5ejd6Qzpcunj6ivqPeo96lzqq+sK60brV+tz69bseO0c7aHuIe6y7y7vY+9Z703vZe+S77/v9fA78HjwmPCx8ObxMPFk8XXxi/HP8kXy1PNq9AL0jfT+9Vn1rvX/9jj2UvZj9oP2svbc9vr3J/d99/L4YPis+OL5JfmD+e36Tfqa+t37JPt4+978UvzK/Tn9kP3D/c39wv3B/dn+AP4q/l7+pv8A/17/uwATAF0AjQCqANMBFwFlAaABxgHtAiYCbwLAAxMDYgOgA8kD6wQXBE4EhQS5BPQFPgWTBeoGRga4B0gH4ghqCM4JFwlRCYIJsAnsCkgKwAs8C6IL7gwpDF8MmgziDTYNiA3CDd4N5w3wDgcOKQ5MDmYOew6TDrsO9g9AD4oPyRAFEFEQshEEERkQ9RDbEQwRgBH3EkQSfBLDEx0TchOwE9wUBBQ1FHkUyBUKFSgVJxUfFSIVKxU4FVkVjxXGFeMV6RXwFgYWJBZAFlUWZRZxFnoWgBaBFn4WgxaZFsAW6hcMFycXRRduF6kX9Bg+GHkYpxjaGR8ZcRm9GfYaCBngGYMZGBjSGMgY5RkQGTYZVBllGWwZcRluGVkZMRkRGQoZFBkaGRQZERkVGRcZERkIGQYZCBkJGQwZFRkeGR8ZFxkNGQIY+Rj1GP4ZEBkeGScZNhlaGZAZyxoBGjIaXxp/Gosahxp6GmIaORoDGc4Zohl5GVwZWhlzGX4ZUhkEGNkY+Rk+GWcZYRlKGToZLRkZGQQY7RjQGK8YkRhzGFIYQRhaGIYYihhJF+EXUBZMFLgTNRLME+AVrxcaF7gX8Bg0GIEYnRiLGHwYhRiNGH8YZBhLGDMYGBf4F9UXsReOF28XURcrFvgWwhaSFnIWXhZFFhUVzhWIFVUVNhUYFPIUyBSeFHEUQRQRE+ITsxODE1MTIhLrErESeBIwEcMRNBC4EIoQthEMEUoRUREtEPwQxxB2D+4POw6hDmMOgw63DrQObQ4QDckNpg2cDZcNew0rDKMMFAvAC8IL/gw6DEsMIgvACy8KkQoUCdoJ1QnaCcQJkwlVCQ8IvwhwCDAIBAfaB6AHWgcVBtsGrwaLBmgGQAYNBdMFngV3BWAFTQU3BSQFJAVABWUFcwVYBSkFCAT/BP0E7ATKBKAEcwRABAYDzwOkA4kDeANqA1gDQgMrAxkDBwLxAtkCyAK+ArQCpgKbApMChQJpAkQCJAIMAfMB2AG/AakBlQGEAXoBcgFhAUkBNwErAQ8A2QChAIoAiwB8AE4AHQAGAAQAAP/2//D/4v+7/4P/XP9S/03/Nv8U/vz+8v7m/tb+zP7F/rf+oP6N/oj+hf52/ln+Of4g/gv9/P3w/eb93v3Y/dT9zP26/aX9lv2S/Zb9mP2Q/X79aP1S/T79Kv0V/QT89fzl/NH8vPyq/J78lPyI/Hz8cvxn/F38V/xX/Fn8W/xe/GT8afxr/Gr8aPxk/F/8W/xd/GH8Y/xh/F78Xfxd/Fz8Xfxd/Fv8WPxZ/F78Yvxh/GD8Yfxi/GH8X/xj/G/8ePx9/ID8h/yQ/Jf8nvyo/LL8t/y5/MH8z/zc/OL85vzu/Pv9BP0H/Qj9DP0V/SD9J/0r/S79Nf1D/VP9YP1r/Xn9jv2j/bP9v/3M/dn95f3v/fn+A/4K/hD+Ff4b/h7+IP4i/iX+Kv4u/jP+N/46/jv+O/47/jr+OP42/jT+Mf4s/ib+If4c/hX+DP4E/gH9+/3s/df9xf26/bL9pv2X/Yr9fP1q/VT9Pv0t/R39DPz4/OP80vzG/ML8w/zD/L78tvyt/KX8ofyg/KH8o/yj/Kf8rvy0/LT8sPyv/LP8tfyx/Kv8pvyj/KL8p/yx/Lj8t/y0/Lj8wPzF/Mj8z/za/OP86fzy/QH9D/0X/R79Kv05/UP9S/1W/Wf9dv2C/Y79n/2x/cD9zf3c/fD+BP4U/iH+Lv4+/k7+Wf5g/m3+hP6f/rX+zP7u/xX/N/9S/3H/nP/OAAMAPgB9ALoA7gEjAWABogHiAh4CWAKJAq4CxQLIAq4CfwJoApgDHwPrBOoGDQdCCIIJ5guADRYOJw5sDicN3Q3DDbUNkg2CDb0OSg8ID88QfxD4ETQRShFGEQgQbw+RDqsN4g09DMQMfwxPC/sLfAsiCz0LugwwDFMMKQvoC7ILjwuAC4ALegtdCy0LAgrcCqEKOgmvCSYIuwhoCBgHyAeHB18HRQcoBwEG2QauBncGLAXWBXoFGgTCBJAEkgSsBKsEfAQ7A/oDnALxAfkA8QAW/3n/Cf65/oP+Xf4w/fL9qv1d/Qv8wPya/KT8yfzk/O386/zY/KP8Tfv6+8b7p/uL+3v7iPuo+7r7rPuH+0/69fpz+eP5aPkS+Ob48flD+cb6Svqm+tf69fsS+yf7JfsE+s76mvp5+mT6S/or+hv6NvqD+u37TvuD+4f7fvuT+8/8B/wR++/7zfvH+9X72/vS+8P7sfua+3f7Svsc+vv68fsD+yH7PftQ+2P7f/uj+8v77/wJ/CH8Qfxu/Jr8s/y6/L/8yvzV/Nj81/zb/OL84vzb/NT80vzR/M78z/zV/N/86fz2/Qf9Ff0e/ST9L/0+/Ur9U/1b/WX9cf2C/Zr9t/3T/ez+CP4p/kj+Yv56/pj+vP7j/wz/Nv9h/4v/t//mABQAPgBkAI0AuQDlARABOQFjAYkBrAHNAfACFAI3AlcCeAKbAsYC9wMpA1IDbwOCA5ADmQOdA54DowOqA7EDugPDA80D1APaA+QD8gQBBAkEDwQXBCMELgQ0BD0ETgRoBIIEmQSvBMQE1ATbBOUFAgUxBVsFZgVQBSwFEgUMBRgFLwVEBUwFRAUzBSAFDgT9BOwE3gTWBNME0ATLBMQEvgS9BNAEygTABLkEuAS7BL0EvgTBBMQExATBBMIExgTLBM8E1QTeBOQE6ATrBPQFAQUPBR4FKwU6BUoFXQVxBYEFjgWbBasFvAXOBeEF9QYIBhwGMwZMBmMGeQaZBsEG6AcMB0MHpgghCHoIgghLCBIIBwgrCF8IiQikCLUIuwiqCHUIHwe/B2oHJwbvBrsGhQZPBhgF4gWuBXoFRgUTBOAErQR+BFEEFwO1AykCmgI5AhMCCgH9AegBzwGzAZIBcgFVATIBBADcAM4A0gDLAK4AhwBgADH/8v+v/3b/R/8V/tr+n/5z/ln+Sf47/iv+Fv3s/Zv9G/yJ/An7qftV+wv67fsZ+3H7sPu3+6z7tfu4+3H6xvny+VL5IflP+Zf5tPmN+T749vjG+Jf4U/gH99f33vgP+D/4Tvg7+B34B/f098f3avbt9of2ZfaD9qn2pPZv9iv19vXP9a/1lvWI9Xz1bPVh9XL1ovXa9f72AvXo9cT1svXD9ef1/fYH9jT2tPd5+EP42/k0+V75bflz+XT5Wfj++F/3qvca9sP2lfZ79mj2VPY19hD18/Xh9c/1ufWt9bL1wPXG9cH1ufW09bH1rPWi9ZD1e/Vn9VL1NvUS9PD01/S99Jr0bfQ58/TznfNf83z0BfSq9Pf0v/Q988vzjfNq80HzDfLb8rPykPJr8kXyIvIG8fHx3PHE8anxivFm8T/xGfDv8L3wgvBH8BPv4u+r72rvKO7q7qvuZ+4k7eftr+107TTs8uyu7GXsF+vJ64DrP+sG6tDqnepr6jvqC+nb6arpeulO6SfpAejZ6LHoiOhf6DboFegB5/Xn6+fi593n2+fZ59TnzufH57rnquea54nncudV5zrnKech5x/nIucs5zvnSOdK5zjnDObQ5pfmcuZf5lnmYOZ15pLmq+a95s/m4+b25wrnJOdR553oDeiK6ODo3uiK6CnoA+gu6Ibo2ekG6QPo5ujg6Rfph+n76kHqUOpP6nDqw+sk61jrUutO65XsLOzU7WHt5e507u3vJO8k7yrvVu+P77nv3/AS8EPwX/B18KXw7fEq8U7xcPGu8g7yh/MW87P0RPSw9QD1T/We9dP12/XT9eb2H/Zc9oT2qvb292v34/g5+HT4t/kT+Xn50foW+lP6lPrn+1b74/x5/Pb9Pf1L/Tn9Kv01/Vb9fv2n/dr+IP55/tz/RP+n//YAKgBWAJIA3wEkAUsBYAGAAbcB/QJGApIC3QMdA0wDdAOgA9UEDQRDBH4ExQUVBW0FzwZKBuAHhAgXCIYIzwj/CSIJSAmKCfUKfwsFC2gLqAvVDAYMRAyTDOwNPg15DZcNpg23DdQN+g4fDj4OVw5wDpUOyA8EDzwPag+dD/AQZhDSEPkQ1BCnEMIRKRGbEeMSDhJKEqcTCxNZE44TuRPtFC8UeRS1FNIU1RTSFNMU2BTiFP4VMhVnFYoVmxWxFdIV9BYLFhkWJRYvFjIWLBYjFiAWLhZOFnkWoRbCFuIXBhc1F3AXuBgAGD0YbBicGNoZJBlzGbsZ7BnsGa8ZTBjyGMUYzBjyGRsZMRk1GTkZThlnGWUZPhkLGOsY4RjcGNYY1RjaGN0Y2BjVGNgY3hjkGOkY8Rj5GP0Y/xkAGP0Y9BjtGO4Y9Rj8GQEZDxkvGV0Zjhm8GesaHBpHGl0aXRpLGisZ+xm8GX0ZUhlAGUUZWBlqGWUZQBkSGQQZHhk/GUUZNRkoGSUZIBkZGRUZCBjiGLIYkxiGGHcYahiAGLUYzhipGGEX+BcRFWwTlRK4E3UVOhbdF8gYNxiMGMkYzhiwGKMYsBi4GKoYlhiEGG0YSxgoGAoX6RfDF58XgRdgFzMW/hbQFq8WkhZpFjAV7xW7FZsVhBVhFS0U9hTJFKMUfBRQFCET9BPLE6QTexNJExIS2BKSEi4RuBFiEVIRfhGtEbURlxFpETkRBRDAEFsP2g9nDzIPPQ9FDwQOfw4BDckN0g3pDeMNrw1GDLEMIQvcDAMMagzHDPIM7gy5DD0LewqtCiYKAQoNCgkJ3wmbCUkI6wiICDcIAQfYB6IHXAcWBt0GsQaLBmUGPgYSBeEFswWNBXEFVwU5BR4FGAUvBVAFVgU1BQME5ATbBNIEtwSSBG8ETgQlA/MDwgOaA34DagNZA0YDLwMYAwQC8gLfAswCvQKyAqICkQKJAooChQJuAkoCKQIRAfoB4wHLAbEBlQF/AXYBcQFhAUkBPAE3AR0A4QCoAJoArQCtAIMATwAzACUADP/s/9b/xP+d/2T/Of8u/zD/Iv8I/vX+7f7k/tf+0P7N/sP+rf6Y/o3+g/5q/kD+Fv33/eT92P3P/cn9xf3D/cD9tf2h/Yj9dv1y/Xb9eP1w/WD9Tv0+/S79Gf0C/O383fzN/L38rPyd/JD8g/x4/G78Y/xX/E38SPxJ/En8SPxM/FL8V/xZ/Fr8XPxb/Ff8VPxW/Fv8XPxa/Ff8VvxV/Fb8Wfxc/F38WvxZ/F38YPxh/GH8Zfxp/Gn8afxu/Hj8gfyG/In8jvyT/Jj8oPyr/Lf8vvzD/M382vzm/O789Pz+/Qr9FP0a/R/9J/0w/Tv9Rf1N/VT9W/1m/XL9f/2L/Zn9qv28/cz92P3k/fD9/v4K/hX+Hf4k/iv+Mv42/jj+OP47/j/+RP5H/kr+Tv5Q/k/+Tf5L/kr+SP5G/kT+Qv48/jX+Mf4u/in+H/4V/hH+Df4C/fD94P3W/c39wP2v/aH9k/2C/W79W/1M/Tz9J/0P/Pj85fzZ/Nf82vzd/Nj80PzI/ML8vfy7/Lv8vfzA/MP8yvzQ/ND8zPzM/M/8z/zL/Mf8xfzC/L38vPzB/Mn8y/zJ/Mz80/za/N785fzu/Pb8+v0C/RH9Iv0u/TX9QP1O/Vv9Z/10/YL9jf2W/aL9s/3F/dL93f3q/fv+D/4g/in+L/45/kj+Vf5f/m3+hf6f/rT+yP7n/xH/Ov9b/3//rP/fABEARAB7ALIA6AEfAV4BowHpAi0CbgKmAtEC8wMJAwgC6wLFAsAC/wOWBIQFqAbOB+IJFwqnDHAN5g6JDmAN6Q2YDY8NuA3+Dl8O5A+TEFoRBRFqEZoRzhIgEl4SRhHFEO4P2w6uDakM/wyVDCMLlws4C0wLuAwZDCwL+wu0C3gLWwtmC4oLpAuXC28LSAskCucKdgniCVEI4QiHCC4H1QeOB2MHRgclBwAG3Aa3BoIGPAXyBaoFXgUPBM0EoQSBBF0ENwQcA/4DqgL9AgsBDwA6/5f/H/7L/pX+bv5I/hn93f2N/S/83/y8/Mn85Pzv/On83vzH/JL8Q/v/+9/71vvM+8H7xfvX++H70fup+2v7DfqP+gb5j/k4+Qj5DflU+c/6UPqw+uf7B/si+zb7OPsj+vz60vqu+pP6gfp5+nf6fPqT+s37Ivtq+4T7hPub+9n8Ffwi/Av7+/wF/Az7+vvX+737rfuW+277O/sP+vX69PsI+yT7OvtL+2H7g/uq+8/77/wK/Cf8TPx3/Jz8sPy1/Lz8y/zb/OP86Pzu/PP88/zx/PT8+fz5/PX89Pz6/QH9Bv0N/Rn9I/0p/S/9PP1N/Vn9Yf1o/XD9ev2I/Z/9u/3V/ez+Bf4k/kT+Yf59/p3+wP7l/w3/N/9i/4z/tf/iABAAOQBfAIcAswDeAQcBLgFWAXwBngG/AeACBAInAkcCaAKNAroC6gMWAzkDUwNqA34DjAOTA5UDmQOgA6cDsAO9A8sD1wPhA+wD+QQEBAsEEQQcBCsENwQ9BEQEVARuBIwEpwS/BNUE5ATqBPAE/gUVBSYFJQUXBQwFDAUXBSUFNQVEBUwFQwUpBQoE8wTqBOkE6wTqBOYE4QTcBNcE1ATSBOIE2QTSBM8E0wTYBNcE0gTPBNEE0wTTBNIE1gTdBOUE6wTwBPME9gT7BQQFDwUaBSgFOAVJBVoFbAV+BY4FmwWmBbIFwQXPBd0F6QX4BgwGJQZBBl4GfwaoBtQG+AcaB1QHtwgoCG0IZwgwCAYIEQhMCI0ItAi8CLkItwimCHEIFweyB18HJAb1BsUGkgZfBioF9AW/BY0FXAUrBPcEwwSWBG4EOAPaA1UCzgJuAj8CKQIXAgkB/gHsAc8BrgGKAV8BKwEBAPEA7wDeALkAjgBrAEYAF//l/7b/h/9P/xL+3v60/ov+X/46/iT+Ev3h/XP80vwu+7j7d/tQ+zL7LftT+477svuz+637wPvY+7z7QvqF+df5ifmg+dT51PmN+TL4+Pjh+ML4g/gz9/33/Pgo+Ff4YfhB+BX39/fg97H3W/b19qn2jvag9sT23PbO9pr2WPYh9f/16PXN9a31k/WN9Zf1ofWf9Zv1pvXA9dv18fYH9h/2MvZI9on3Fffa+J/5NfmO+bL5tfmw+bL5pfle+Mz4GPeA9yD26PbA9qL2i/Zz9lX2PPYs9h72DPX69fP19/X69ff17fXj9d312fXX9dL1yfW89ar1kfVy9VL1MfUN9OH0sfR19CXz0vO09AP0rfVL9Xn1KvSm9Dbz7vO584jzWfMx8wzy5PK78pTyd/Jh8k7yN/IZ8frx3fG/8Z/xfPFW8Snw8fC28HzwRfAK78rviu9K7wbuwO6A7kjuFO3c7Z3tWu0T7Mbsd+wq6+HroOtk6zDrAOrR6qPqdepG6hTp4+m56ZTpbelC6Rno8+jQ6Kzojeh56G3oYuhX6E/oSOhB6DnoMOgk6BDn+efn59jnxOep55Dnged553XndOd754fnjeeF52vnQOcI5s3moOaM5pDmpOa95tXm6+cE5ybnTudz547no+fC6ADoY+jO6Qjo6uiO6DroKOhY6Kro9Oka6RDo7Ojh6Rrpiun56jjqSupU6oDq2Os462nrW+tK63/sCOyr7TTtpu4X7nburu7P7wfvXe+m78jv1u/u8AvwHfAx8GLwsPD48SnxVPGO8d3yQvLG82Lz9PRd9KX06vUy9WL1ZvVa9Wz1p/Xp9hP2NvZ29uH3VPex9/r4TPiu+Q35WfmZ+df6GPpi+sv7YPwL/JX80vzJ/Kn8nvy2/OL9Dv05/W39sv4F/mL+xf8r/4f/0AARAFUAmADHANsA6gEPAVABmgHgAiICYwKjAtoDCgM6A24DpgPhBCAEZgS1BQ8FdwXwBn0HFgemCBgIYwiPCK4I2AknCaMKOQrBCx8LVguAC7EL8gxDDJwM7Q0pDUwNZA1+DZ8Nxg3vDhYOOg5dDoYOug7wDxsPNA9SD5gQDxCHELwQnxBuEH0Q2xFIEYoRqhHaEjMSmxLvEycTVBOIE8sUFBRRFHMUfBR8FH0UgRSLFKcU1hUHFSwVRxVqFZcVvRXOFdIV1RXaFdkV0RXIFcsV4RYIFjMWWRZ7Fp4Wxhb1Fy4Xcxe+GAQYPxhzGKkY5hktGX0ZyBnwGd8ZnBlIGQcY7hj2GQsZFhkTGRcZNBlaGWkZTxkdGO4YyxivGJoYjxiNGIwYihiMGJQYnhinGK4YtRi7GMAYyRjUGNoY2RjYGNoY3BjdGOEY8BkLGS4ZUBl2GaIZ1hoHGiMaIhoIGeAZrBltGTEZERkcGUUZaxlyGVUZKhkTGR8ZOxlHGTwZLhkuGSwZHRkRGRUZFhjzGLsYmRiWGI8YeBhwGIkYmxiLGG8YQBeNFfQT7RKtEwsUqRZ0F7gYdxjpGRMY9hjKGMMY2RjeGMwYvRi3GKIYehhVGEAYKxgEF9YXrxeOF2cXOhcPFugWvhaLFlMWHxX4FdwVvxWVFV8VKBT+FNsUtRSHFFcUKxQHE+cTwhOUE2QTNxMBErQSWhIcEhMSJxIoEgUR1RGpEX0RShEUEN8QoxBhEC4QDQ/RD0wOkA31Db4N1g3xDd0Nlw0oDJwMGgvlDBsMjAzpDRgNMA02DPkMVgt+CtgKnQqoCrMKlQpPCecJYAjOCFQIBgfSB5oHVQcQBtkGrgaJBmQGPwYZBfAFxwWjBYYFaAVEBR4FCgUTBSYFJgUIBOMEzgTEBK0EgwRYBD0EKgQNA+MDuQOXA3wDZANOAzkDIgMLAvcC6QLaAswCvwKwApsChgJ9AoECgQJuAk4CMQIZAgMB7gHaAcIBpAGLAYABewFrAVMBRQFAASYA6wC4ALgA3wDyANcArACNAGwAMf/p/7r/pv+O/2X/Pv8w/y//Jf8R/v/+8/7k/tT+y/7J/sD+qv6T/oD+bf5N/iP9/v3m/dj9z/3I/cb9x/3F/bz9qv2Q/XX9YP1W/VX9Vv1R/UX9OP0t/R/9Cfzu/NX8wvyz/Kf8m/yP/IP8dvxs/GX8W/xN/EL8P/w//D78Pfw//EX8SPxI/Er8TvxQ/E/8TvxR/FX8VPxS/FH8UfxR/FP8WPxe/GD8Xfxa/Fv8Xfxd/F/8ZPxr/G/8c/x5/IL8i/yQ/JT8l/yY/Jz8pPyw/Lz8xvzO/Nf84vzs/PT8/f0G/Q/9GP0i/S39OP1C/U39Wv1o/XT9f/2J/ZT9oP2t/br9xv3U/eP98v3+/gr+Fv4i/i3+Nf49/kX+TP5R/lH+Uv5V/lr+Xv5g/mL+Y/5j/mH+X/5d/lv+WP5W/lT+Uf5L/kX+Qf5A/jz+Mv4m/iD+Hf4W/gn9/P3y/ef92P3G/bf9qP2V/YH9cP1j/VT9P/0m/Q/8/vzz/PH89Pz2/PL86fzj/N/83PzZ/Nr83vzi/OX85/zp/Of85fzm/Oj85/zg/N383vzd/Nf80vzW/N784/zh/OL85/zu/PP8+f0A/Qb9Cv0R/SD9Mv0//Un9VP1g/W79ff2L/Zj9oP2m/bH9wP3R/eD96/31/gL+Ev4i/i3+M/48/kn+Vv5h/m7+hf6f/rX+yf7l/w3/N/9e/4f/uf/tAB0ASwB7AK4A4wEbAVsBoAHnAi4CdgK3AuoDEgMzA0kDSAMtAwgDBQNTBBIFKwZbB3YInAoRC9YNfQ5+DqkOSg3hDcgOCQ5zDtUPNA+1EGERAxFhEY4R0BJQEuETOxMuEqIRkRAjDrgNqQz6DHML/gu8C8ML7Qv9C+ALsAuFC2ULVgtlC4gLnguQC2oLQwsbCtgKaAnbCVYI7giaCEMH5webB2sHTwczBxIG8QbIBo4GRgYABcMFhgVDBP0EuARwBDAEDQQKA/gDmQLaAekBBABK/7f/Rf7x/rT+gP5Q/iT98/2u/Vj9Dfzp/Oz8+Pzz/N78w/yh/G78NPwO/Aj8EvwU/Ar8A/wF/AT78vvK+4j7KPqr+ir5vflv+UT5Qvly+dH6Qvqg+t37APsX+yf7K/sg+wv67/rQ+rX6q/q3+sT6vvqt+rf67vs0+1z7avuH+8D79fwI/Av8IvxD/EP8E/vU+6z7mft++1L7JPsD+vX69/sI+yD7OPtO+2r7jPuu+8z76fwL/DL8XPyC/J/8sPy7/Mf82Pzo/PT8/v0G/Qj9Bf0F/Q79GP0a/Rf9F/0e/SP9I/0l/Sz9Mv02/Tv9SP1X/WH9Z/1v/Xv9iP2W/ar9xP3e/fX+Df4q/kf+Zf6D/qX+yf7s/xL/O/9l/4z/s//cAAcAMABWAH4AqgDUAPoBHwFGAW0BkgGzAdQB9gIYAjkCWwKBAq0C2QL/Ax4DOgNVA24DfgOFA4wDlAOcA6IDqQO1A8YD1gPkA/AD+wQCBAYEDgQeBDAEPwRJBFQEZQR8BJYEsATIBNwE6gTyBPkFBQUSBRgFFgURBRYFJAUwBTIFMAUxBTMFLQUbBQUE9wT3BP4FAwUBBPoE8wTvBO0E6wTnBPQE7wTrBOwE7wTxBO0E5gTgBOEE5ATlBOYE6QTxBPoE/gUABQEFBgUNBRQFGQUhBS4FQQVUBWYFeQWMBZ0FqgW0Bb4FyQXTBdgF3AXlBfgGFAY1BloGiQa8BucHBwcqB2kHyQgpCFwIVAgsCBQIKwhsCLII2AjWCMIIsgieCG0IGAe4B2sHNAcEBtEGnAZrBjoGBgXRBZ8FcAVBBQ4E2QSrBIUEVAQDA5EDGgK9AoICWwI/AjICLAIfAgIB3AG1AYcBVQEvAR4BEADvALwAjQBuAFcAPQAe//j/xP+C/0H/EP7n/rL+b/41/hT9+f26/Tz8mPwF+6/7kvuL+4T7gPuF+4v7h/t7+3z7m/vS+/b7zvtF+pD6Dfns+gH59vmv+Vb5HPj/+Nv4nvhU+Bz4D/gr+FL4Wfg0+AH34PfJ96H3Yvcj9vD2wfaf9qT21PcE9v72wfZ69lH2O/Yd9fD1x/Wx9av1pfWd9Z71sfXR9fH2DPYl9j72WvaG9t73bvgh+ND5XvnB+ev53/m++bP5vPmg+S/4gPfd93L3MvcB9tb2ufan9pX2gfZx9mX2VPZA9jP2M/Y49jj2MfYm9h72HPYe9h/2G/YO9fr14/XJ9an1fvVK9Rf05/Sp9FP0C/QY9KD1ZPXr9en1fPT49JL0SfQP893ztfOP82TzNvMM8unyz/K78qnykPJx8lLyO/Im8gzx7fHJ8Z3xZvEl8OLwo/Bo8C/v9u+373HvKu7q7rPufu5E7gTtwO127Sjs2+yR7EnsA+vF65LrZes36wvq4Oq06oTqVOor6gbp3umx6YfpZelG6SfpCuj16Obo2OjK6L7os+im6JnojOh86GPoSOg26CvoG+gD5+zn3ufW58znxefF58vnyOe255jncedA5wjm2ubI5tfm++ch50DnW+eA57Ln6ugX6C7oMug96GvowukZ6TTo+uiU6EvoROh26MLpDOk16Sno/ujs6SLpjeny6ivqQupd6pfq8OtK63frbutf64/sDuyo7Sbtf+3F7gDuNu5+7u7va+++79PvzO/N79fv3+/08C7wgvDP8QXxM/Fr8bDyCPJ/8xHzn/QG9Ev0hvTE9PD0//UB9Rf1R/V69Z31v/X/9l/2yvcr94r38/hd+LL49Pk1+YH5yfoJ+l365fuO/Bn8U/xE/CL8H/xB/HP8ofzM/QD9Rf2V/er+Rv6r/xb/ef/NAA8APwBZAGUAeQCmAOwBOgF/AbsB9AItAmcCnQLPAwMDPwOBA8cEDwReBLoFJAWZBhgGnwciB5AH3wgSCDsIdQjYCWYKBAqHCtwLEAs+C3cLuwwHDFcMowzfDQgNJw1JDXANmQ3HDfYOIw5NDnwOtg70DyEPLw80D1sPthAhEFwQUBAvEEIQmBD9EToRUxF4EcMSIBJuEqUS1hMPE1QTnhPcFAIUERQVFBwUKBQ6FFYUfxSrFNIU+BUmFVkVfhWIFX4VdBVyFXMVchVxFXsVkxW4FeMWDxY3Fl4WhRazFu4XNheEF84YDhhHGHkYqxjlGTIZiRnPGewZ2xmrGXIZQRkgGQ4ZARj4GP0ZGBk+GVQZTRkvGQcY2xiuGIYYahhXGEoYRBhGGE0YVRhdGGkYdRh9GIQYjhiZGKIYqhi2GMIYxxjEGMYY0xjoGP0ZFhk5GWgZmRnBGdMZxhmiGXQZRxkdGPsY9RkXGU8ZchliGS8ZBxkJGSwZSBlGGTMZLRkxGSEY9BjUGNsY7hjaGKQYfBhzGGUYORgMF/4YAhgGGBwYLBe6FlUUYBMBExkUdRYsF5AYgxkVGT0ZERjgGOQZAhkEGOoY3BjeGNEYqRiCGHIYZRhCGA0X3Be0F44XZBc9FxYW7Ba+Fo8WYhY2FgsV4hW5FY8VZRU/FRgU6hS2FIMUWhQ6FB4T+hPOE6ITfRNYEyES3BKkEooSehJZEicR/RHjEcQRkhFgEUERKxEGENYQoRBPD7sO8w5GDfYN9A34DdQNiQ0gDJ8MIAveC/kMTAyTDLkM2gz+DPoMowwWC6YLfwuKC5MLeAsvCq8J+gk0CJAIJQffB5sHUAcIBtAGpgaCBmAGPgYcBfcF0QWtBY0FbQVHBR4FAQT7BQIE/wTqBNIExgS4BJQEXQQwBBwEEAP3A9IDrgOSA3kDXwNHAzADFwMAAvAC5wLeAtICxQK0Ap4CiAJ9AnwCeAJmAk8COwIoAhIB/AHsAdoBvwGkAZUBjQF7AWABTgFEASgA8QDGANEBAAEaAQkA6wDYALYAaQAG/8L/rf+o/5L/cf9W/0b/N/8m/xf/Bf7w/tz+1P7R/sb+rv6R/nX+V/40/hP9/v3z/ej92v3Q/c790f3N/bz9o/2I/W39Vv1F/Tz9Ov02/Sv9Hv0R/QL87vzV/L78rPyd/JD8hPx6/G78ZPxe/Fr8UvxE/Dn8N/w5/Dr8Ofw7/D78P/w+/D/8RPxI/En8SvxN/E/8TPxK/Ez8T/xQ/FH8V/xe/GH8Xvxc/Fz8Xfxd/F/8Zfxs/HP8e/yC/Ir8kvyY/J78oPyg/KP8rPy4/MT8zvzY/OH86fzy/Pz9Bv0M/RD9GP0l/TP9P/1J/VX9ZP12/Yj9l/2k/bD9vv3M/dn94v3t/f3+Df4b/iX+Lv45/kT+TP5T/lr+Yv5n/mn+av5t/nH+df54/nn+eP51/nP+cf5w/m/+bf5q/mf+Y/5e/lj+Vf5T/k/+Rv46/jL+Lf4n/hz+EP4E/fj96v3b/c39vP2m/ZD9gP12/Wn9Vf09/Sr9Hf0V/RH9Ef0O/Qj9Afz+/P78/fz6/Pr8//0F/Qj9CP0G/QL9AP0A/QL8//z4/PT89vz3/PP87vzw/Pj8/fz7/Pr8/f0D/Qf9C/0P/RT9Gf0i/S/9Pv1M/Vj9ZP1w/X39jP2b/af9r/21/b79y/3a/en99/4A/gf+EP4f/i7+Of5D/lD+Xf5p/nb+iv6j/rz+1f7y/xb/Pf9h/4r/u//wACIAUAB/ALEA5gEfAV4BogHnAi4CeAK/AvsDKQNTA3kDkwORA20DPwNAA6sEjgW9BvsINgmOCxoMsw4BDrYOzA6ODmEOfg7ODxsPXQ+/EFYQ8RFTEYERuxIrErkTMBNmEzISdRFAD+UOtw3UDSwMvAyFDGUMKgvGC2gLPgtDC1QLXgtqC3cLeAtiCz4LFgrmCp0KMgmxCTUI1AiKCEEH8gerB3kHWQc/ByUHCgbkBqgGXAYSBdMFlgVXBRUEzAR3BCgEAAP5A9YDVwKDAZkA1wBD/8v/Zv8W/tT+lf5c/jH+DP3X/Y39Rf0Z/Qv9CPz9/OP8vvyQ/GL8QPw3/Ef8W/xh/Fb8RPw0/CP8B/vY+5P7M/q/+kz57vms+YT5dfmI+cb6I/qC+sr68/sG+wz7Cfr++u/64PrP+sP6x/rf+vT66/rI+rT6zvsE+zP7VfuB+7v76Pv9/BX8R/xz/Gb8GfvB+4z7cvtU+yn7Bvr3+vX6+fsH+yH7QPte+337nPu4+9D77vwW/ET8b/yQ/Kv8wPzR/OD87fz6/Qj9F/0h/SD9GP0V/Rv9I/0m/Sb9LP00/Tj9NP0z/Tf9PP0//UX9Uf1e/Wb9bP13/Yj9l/2m/bj9zv3n/f/+GP40/k7+af6H/qn+zP7u/xP/O/9k/4n/rf/U//0AJQBMAHUAoQDJAO4BEQE4AWEBhwGpAcoB6wIMAisCTAJyAp0CxwLqAwkDKANIA2MDcwN+A4sDmwOlA6gDqQOxA78D0APiA/ED+wQABAUEEAQkBDkETARdBGwEewSKBJsEsATGBNgE4wTsBPcFCAUXBR8FHwUfBScFMQUzBSoFHQUXBRgFFwURBQoFCAUNBRQFFwUSBQoFBAUDBQMFAAT7BQcFBQUEBQQFAwUCBQAE+wT3BPYE+AT6BPwFAAUHBQ0FEAUQBRIFFwUcBR8FIgUoBTYFSQVeBXIFhgWaBasFtwW+BccF0AXVBdQF0QXYBe4GDwY1BmIGmAbPBvgHFAc8B4IH2wgnCE0IUghMCE8IaQidCNkI/Qj2CNYItgiXCGUIFQe8B3QHPgcNBtgGpQZ3BksGGgXmBbIFggVUBSQE8gTEBJoEbAQoA8sDZgMRAtACnAJ2AmECWAJHAiYB/AHTAasBhAFlAVABNAECAMQAkgB4AGwAYgBRADH/+v+0/3P/Qv8S/s7+ef4s/fj9yf16/QD8evwY++776/vv++n71vu0+4j7YPtN+1f7gPvK/CH8SPwA+1X6pfpF+jH6Ifnq+Z/5Yfkw+Pz4vvh++En4MPg7+Fj4Xfg4+AT34ffJ96X3fvdk90T2+PaV9mz2rvcd9073HvbI9o32c/ZY9i/2A/Xh9cr1wfXI9dz18PX89gT2F/Y49mH2j/bN9yv3qPg2+Mb5VvnS+hD5+Pm3+Z35wPnX+Yr43vgq97T3dPdC9w325vbV9sv2u/ar9p/2kvaC9nb2d/aA9oX2gPZ49nP2c/Zz9nH2a/Zb9kP2KvYR9fH1vvV/9Uf1GPTZ9IH0SPSE9UL2GfaC9k71w/U89N70mvRk9Dv0GPPs87fzh/Nk80rzMfMb8wjy8vLV8rnypfKV8n7yYPI88hDx1/GS8UnxBvDN8JrwZfAp7+Pvne9d7yPu6O6p7mjuI+3a7Y3tQ+z87LLsaOwm6/LrxuuZ623rRese6vLqxOqc6njqUOoj6fvp2um96Z/phOlu6VvpSOk46SvpHukK6Pbo5ejT6LjonOiK6H/oceha6EboO+gz6CXoFegN6Ann/efk58Xnped950znIecR5yfnV+eM57zn5+ga6FnomejG6NDovuix6NHpHull6WTpEOie6FfoVOiE6M/pHelP6UnpG+kG6TnpoOn96i/qSepw6rTrDOtb64Lrfut466zsKOzA7Tjtfu2g7brt6u5N7t/vau+378Dvsu+s76/vte/S8Bbwa/Cx8ODxDvFJ8Y3x2vI/8r/zQfOm8+z0JPRZ9IX0oPSz9Mr06PUG9SH1TPWT9fL2V/a89yz3pfgP+Fj4j/jY+Tf5jfnK+g76f/sV+5H7w/u3+577o/vI+/r8KPxR/IP8yf0g/Xv92P4//rX/K/+N/83/7wABABEAJwBOAIcAzAERAVABhgG6AfACJgJZAo0CyQMOA1gDogPuBEgEsgUoBaUGJgajBxIHawexB/EIQQi2CU4J6QpgCqoK3QsXC1wLoQvlDCsMcgyuDNcM9w0YDUANbw2lDd4OEQ46DmgOqA70Dy0PPA8wDzIPYA+qD+EP7g/sEAwQXBCyEOUQ+REWEVERnBHeEhYSTxKREtkTHhNZE4ETlROhE7ITzBPpFAYUKhRUFIEUshToFRwVPxVDFTAVHRUVFRgVHRUjFS4VQhViFY0VwRXyFhkWPRZtFrEXABdKF4kXwxgBGDsYbhiiGOYZOhmLGcMZ3BnbGcIZlRlbGSQY+BjfGN0Y8hkSGSsZNhkyGSAZARjZGK4YhxhkGEcYNxgyGC4YJxglGC0YOxhHGFIYXhhqGHQYgRiVGKcYrBimGKUYrxi7GMYY2xkDGTcZYxl6GXcZXBkxGQYY6hjeGN8Y9xkpGV0ZaRk9GP8Y4xj+GS0ZQhkxGRcZERkLGOIYmRhkGGsYihiEGFIYJxgeGBMX5RepF4MXeheJF7kX6helFocU5xPAE88U4xY/F2MYRhjoGSoZExjyGQQZLBkwGRAY/BkAGPkY1hivGJsYihhnGDQYAxfZF64XghdbFzoXFxbyFssWoBZsFjYWBxXjFcMVnxV4FUsVGRTmFLcUkRRzFFcUNBQGE9YTrROJE14TJRLsEr8SmhJuEkISJRIVEfkRxhGREXIRXxFBERcQ7hC6EFEPrA8CDpMOag5ZDjMN6g19DOkMQwu/C4kLmgvIC/gMKQxWDGMMRwwhDBIMHAwiDBML6wufCxYKTAlzCMUIVAgBB6wHVAcHBswGoAZ7BlkGOQYXBfMFzAWkBX8FXgU9BRoE/gTyBPEE7ATaBMcEugSnBH0ERAQaBAgD/QPjA70DnAOEA24DVwNBAyoDEAL4AuoC5QLfAtMCxQK3AqUCkQKCAnoCcAJfAlACSAI9AiUCDAH8Ae8B2AG9AasBnwGJAWkBUQFBASQA8QDMANUA+gEHAPIA4ADjANsAogBIAAT/7//x/+L/u/+L/2T/Sv89/zP/Iv8L/vr+9P7v/t/+wf6e/nr+U/4u/hf+D/4K/fz95v3V/dL90/3M/bf9m/2B/Wn9T/02/Sb9H/0a/Q38+/zo/Nn8yPy4/Kj8mfyJ/Hj8aPxd/FT8TfxK/Ej8Qvw4/DH8Mfw0/Df8OPw5/Dr8Ofw4/Dv8QfxF/Ef8SPxK/En8RPxD/Ef8TfxQ/FD8VPxZ/F38Xvxf/GD8Yvxk/Gj8bfxy/Hj8gPyI/I78k/yb/KL8p/yo/K38t/zC/Mv81fzg/Or88vz8/Qn9FP0Y/Rn9IP0t/Tv9Rf1O/Vr9af18/Y/9ov2y/cH90v3l/fP9/f4H/hb+KP41/j7+Rf5O/ln+Yf5n/m7+c/54/nv+ff6A/oL+hv6K/oz+iv6H/oX+hP6E/oT+gv6B/n7+ev51/nD+a/5n/mL+Wf5P/kb+Pv41/in+G/4O/gP9+P3s/d79zP20/Z79kP2I/X/9bf1Y/Uf9Pf02/TD9Kv0i/Rj9Ev0U/Rn9G/0Y/Rf9Gv0g/SX9J/0m/SL9HP0a/Rv9Gf0U/Q/9EP0S/RD9DP0N/RL9FP0R/RD9E/0Y/Rv9HP0f/SP9Kf0y/T39Sf1V/WL9cP19/Yn9lv2k/bD9uf3C/cz91/3j/fH9//4J/g7+E/4h/jL+QP5K/lb+Zv52/oX+lv6t/sf+5f8H/yz/T/9w/5T/wf/zACQAVACGALsA8QErAWoBrgH0AjoCggLKAwwDRAN2A6UDzwPnA9sDqwN6A4cECwUKBlQHqQjtCi8Ljw0FDkoPBw8rDwIO7w8WD1sPqRATEKERKxGCEacRyBIEElESmxLREtcSixHrERYQKg85DloNtQ1NDOUMRAt+CusKxArqCyALQQtPC1ELQwspCwcK3wqqCmAJ/gmJCREIrQhmCC4H9ge7B4kHYgdDBy4HIAcIBtQGiAY4BewFowVbBRkE0wSABCsD8gPPA4oC7wIWAUYArAA8/9j/fv8z/vL+tf6A/lv+O/4L/cb9fv1K/TH9Kf0k/RL86/y3/In8dPx5/I38nvyh/JH8dvxW/DT8CPvN+4D7KPrL+nH6I/nm+bj5mfmU+bf6B/pq+r/67/r9+vn67frc+sz6wfq/+sb62fr2+wz7B/ro+tD62Pr9+yz7YPug+978AvwP/Cn8X/yH/Gj8Bfub+1v7Pfsg+v366frq+vT6/vsQ+y37Tvtv+437q/vH++D8APwr/Fr8gvyg/Lz82Pzv/Pz9Av0K/Rr9LP03/TT9Kf0h/SD9I/0l/Sr9NP09/T79Of02/Tn9Pv1C/Un9Vf1h/Wn9cv1//ZL9ov2x/cD91P3q/gH+HP45/lP+bf6J/qn+y/7t/xH/Of9h/4X/p//M//QAHABEAG4AmADAAOUBCQEuAVUBewGeAcAB4gIBAh0CPQJiAo0CtwLbAvoDHQNAA10DcAOAA5QDqAOzA7IDrgOxA70DzwPiA/QEAAQHBA4EHQQzBEkEXgRyBIMEjQSRBJkEqgS/BM8E1gTdBOsFAAUUBR8FIwUkBScFKAUiBRYFDgUNBRAFEAUOBQ0FEgUZBR8FIAUdBRgFFQUUBRUFEwUNBRkFGQUZBRcFEwUSBRMFFAURBQ4FDQUPBRMFFwUcBSAFIgUkBSYFKAUqBSsFLwU4BUYFWAVsBYEFlQWnBbMFugXABcgF0QXUBdAFzgXbBfoGIQZHBnIGpwbeBwYHJgdXB6QH9AgrCEcIYwiMCLYI1QjyCRIJJgkYCO0IvwiTCFsIDQe3B3EHPAcNBtwGrAaCBlkGLQX8BckFlgVoBTwFDwThBLUEhgRJA/kDpANZAxsC5gK4ApkChAJrAkQCFgHuAc8BtAGbAYABWQEiAOQAswCYAIwAhgB6AF0AKv/q/7D/ff9E/vX+lf45/e39ov1C/NL8cPw8/Db8P/xA/DD8EPvb+5n7Z/tY+2j7i/vK/Cv8fvxv++T7KPqh+mj6Tfom+fD5ufl9+Tn49vi8+Iv4bPhs+ID4gPha+Cj4Bffo98P3p/em95L3L/aY9kr2k/cr94T3YPb/9rP2kPZ79mD2QfYd9fj14/Xq9gT2F/Ya9iD2PfZx9q326/cw94H32/g7+K/5Q/nb+jL6HPnK+aX51PoJ+dP5KPhn9+r3sPeC90j3F/cC9vr27vbh9tn20vbF9rn2uvbH9tH20fbM9sz2zPbJ9sL2uvap9oz2avZO9jD1/vW89YD1TfUH9K/0ivTu9dD2rfb59qT2C/WH9Sv05PSv9I70cPQ/9ATz1/PB86/zlfN882rzV/M98yLzEPMB8uryyvKl8nryQ/H+8bbxdPE58QPwzfCS8FDwDe/O74/vTe8K7sjuhu4/7fXtre1m7RnsyeyC7ErsHevw68brouuA61jrLesH6uXqv+qV6m7qTuox6hTp+enj6c3ptumj6Zbphulu6VTpP+kt6RTo+Ojk6Nfoxeit6JrokuiM6HvoZuhV6EboMugW5/nn3ee855Pnb+di53Tno+fh6CPoY+il6OzpLulY6VfpNOkY6S3pcump6ZLpJ+io6F/oYOiV6OPpNult6WnpPuks6WLpxuob6kXqXuqI6tDrJetp64frguuC677sQuze7Vbtju2V7Zjtxe407srvSe+E74jvge+F74zvme/B8AvwW/CR8LXw5PEm8W7xs/IF8m3y2/M784TzvvPy9B70QPRa9G/0gfST9LD05fU39Zf1+fZg9tP3Tfev9+z4Hfhp+NT5Nfl4+bn6HPqa+wH7LPsp+yD7LPtQ+4D7r/vX/AX8TPyv/Rv9gf3n/ln+1f8+/4L/qP/C/9n/7f//AB0AUQCXAN8BHAFOAYEBtwHsAh8CVgKaAuYDMQN5A8cEKgSkBS0FuAY5Bq4HGAd6B9kIQAi+CVAJ3QpFCoUKugr9C0oLjwvLDAsMUAyLDLIMygzkDQsNQQ2EDckOAQ4nDk4OjQ7dDx4PMw8gDwgPDA8vD1sPfQ+dD84QExBVEHwQkBCsEN0RGRFSEYoRzBIUEloSmRLREv0TGBMsE0gTbBOQE64TzxP7FDEUbBSnFNwVABUHFPYU4hTXFNUU2BTdFOUU9BUOFTgVbxWjFcgV6RYdFmwWwhcDFzAXYBelF/EYMhhpGKYY8xk+GXgZoBm7GcgZuRmIGUAY+RjGGLQYwhjgGP8ZFhkkGSgZIBkOGPIYzhilGH4YZhhYGEgYLxgYGA4YDRgSGB0YLxhCGFEYYRh0GIUYiBiCGIQYjRiUGJYYpRjPGQUZKxkzGSMZBBjhGMUYuhi/GNQY/Rk2GWQZXxkkGOQY0xj3GSQZLRkRGPEY3xjFGIgYNhgDGA0YLRgpGAAX5xf3GAoX9he/F4oXaRdhF3YXixdEFmEVOxSYFOcV0xa2F1cX6RiDGO8ZCRkEGR4ZTBlaGUAZJhkfGRcY+xjYGL4YpBh9GFAYJxgAF9EXohd7F10XPxcbFvUWyhaaFmkWQBYdFfgVzRWfFXMVSBUeFPYU0RSuFIoUYxQ2FAQT0xOoE34TTBMVEuMSvRKbEnoSWxJAEhwR6RG3EZYRfhFdETQRGBEEENMQZw/XD2APJA8RDvcOsQ4vDXMMkAuxCwcKsAq1CwALYgukC7ALpwu6C+8MFQwIC9ILlgtNCtAKGwleCNEIdQgjB8MHYQcRBtYGpgZ8BlYGMgYNBecFvwWTBWgFRgUtBRkFBQT2BOwE3gTIBLEEngSGBF0EKgQGA/cD6gPPA6wDjgN4A2QDTwM9AyoDEAL2AucC4gLaAswCwAK3AqkClgKEAngCawJdAlQCUwJLAjMCGAIIAf0B6QHNAboBrQGVAXIBUwE+ASAA8QDOAM0A2wDQAK8AnwC0AMwAvACLAGIAVwBXAEMAD//K/4v/Zf9W/0//P/8q/xr/E/8I/vD+0P6u/ov+Y/4+/ij+IP4X/gT96/3a/df91v3K/bH9lf1+/Wj9S/0q/RH9Bvz//O/81vy9/K38ofyX/I38gfxv/Fv8S/xD/D78Ofwz/DD8Lfwq/Cj8Kfws/C/8Mvw0/DT8Mfww/Db8PvxE/Eb8SPxJ/Eb8QPw+/ET8S/xP/E78T/xS/Ff8XPxg/GT8Zvxs/HP8efx7/H78hfyM/JH8lfyc/KX8q/yw/Lj8w/zN/NT83Pzn/PP8/v0J/Rn9Jf0q/Sv9Mv0//Ur9Uv1a/Wb9dP2D/ZT9p/25/cv93/30/gf+E/4e/iz+O/5I/lD+V/5g/mr+c/56/n/+gv6F/or+jv6R/pL+lf6Z/pz+mv6X/pf+mP6X/pb+lv6W/pX+kf6N/on+gv56/nL+a/5j/lr+UP5F/jj+Kf4b/g7+A/32/ef91P2//az9oP2b/ZX9hv10/WP9WP1R/Un9P/0y/SX9IP0m/S/9NP0z/TD9MP00/Tn9Pv1B/T39Nf0v/S/9Mf0w/S39LP0s/Sr9Kf0o/Sj9Jf0i/SL9Jv0q/Sv9Lf0v/TP9N/0//Uf9Uf1b/Wj9d/2F/ZL9nv2r/bf9wv3N/dr95f3u/fj+Bf4R/hf+Hv4r/jz+SP5P/ln+a/6B/pX+pv65/tL+8v8X/z7/Yv+E/6n/1AABAC4AWwCNAMYA/wE7AXoBwAIJAlAClQLaAyADZAOhA9MD/gQiBDMEIQPqA7kD1AR0BZAG4ggdCTUKZgvlDYUOxw9UD1EPNA9SD6oQIBCjESgRkRHHEdcR4hH1EgoSIhI9ElISVRJCEg8RmBDCD7AOtg3zDTUMSAtRCqoKfAqbCskK7QsHCxELBArqCsoKpApwCjAJ4QmACREIrAhkCDMIAwfQB54HcwdRBz4HOQcuBwQGvAZpBhUFvgVoBRwE1QSBBCQD0wOMAyYCgwG+ARYAoQBG/+v/lP9P/xj+5v66/pj+c/48/fb9tP2G/XD9bv10/Wv9Rv0M/Nv8xfzF/M380PzI/K/8iPxd/DH7+/ux+1z7DvrO+pL6UfoR+dv5t/mp+cH6Bfpl+r/68/sA+vf66frY+sX6tvq1+sT63/sA+xn7Ivsc+xX7Gvsw+1X7jvvU/Ar8GvwV/Cf8XvyH/GT79vt9+y/7CPrs+tP6yvrW+uv7Avsd+z77Xft3+5P7tPvW+/T8Fvw+/Gn8jPyp/Mj86Pz+/Qf9Cv0S/ST9N/1B/UD9N/0u/Sf9Jf0m/S39N/09/Tv9Nv00/Tf9O/0//Ub9Uv1d/Wb9cP1//ZH9ov2x/cP91v3p/f7+GP41/lL+bv6K/qn+yv7s/xD/N/9d/4H/ov/G/+wAFAA7AGMAiwCzANoBAAEkAUcBawGRAbcB2gH5AhUCMwJXAoICrALPAu4DEAM2A1cDcQOHA54DsgO6A7YDsQO2A8MD1QPpA/wECwQUBB4ELgRDBFkEbAR/BI0EkgSRBJUEpQS4BMUEygTSBOIE9wUKBRUFHAUhBSMFHwUXBREFFAUdBSIFHQUVBRQFGwUjBSgFKQUoBScFJAUjBSMFIgUdBSsFKwUsBSsFKAUoBSsFLQUpBSQFIQUjBScFLAUwBTQFOAU7BT0FPQU7BTwFQwVOBVsFaAV5BY0FoAWsBbIFtgW8BcQFzQXSBdIF1wXuBhUGPgZfBoIGswbrBxwHSQeJB90IJQhHCFgIhwjZCSgJTQlPCUkJPgkfCOwItgiFCEsH/weuB2oHNwcKBt4GswaLBmMGOgYPBd8FrQV+BVQFKgT+BNIEogRoBB4D0QOQA14DLwL+AtMCsgKPAmMCMgILAfIB3wHIAasBhgFZASgA+wDWAL0ArACbAH8AUwAf/+7/vf+B/zL+1v51/hT9q/03/Mb8cvxQ/Ff8Z/xo/Fb8NPwB+8f7nvuU+5r7ovu+/Aj8YPx0/BX7dfrv+qf6gvph+kD6HPnl+Zj5SvkL+Nr4uvi3+MT4vviU+GD4PPgb9/T33ffm99b3Zfa19lP2mPc896L3iPcr9tz2svaZ9ob2cvZQ9h317vXe9ev2A/Yf9kv2jvbe9yv3cve19/T4Kfhi+Lz5Sfns+lj6WPoN+dz5/Pot+gP5Y/ik+CP36fe994L3Tfcz9yr3IPcW9xX3E/cG9vb2+PcL9xz3Hvca9xv3G/cV9wv3A/by9tD2pfaD9mr2QvYE9cH1gfU09OP02PVa9kj3FPdH9un2XPXm9Yf1MfTz9NT0uvSL9FL0LfQe9A7z8vPW88XztPOZ83/zb/Nh80rzKfMG8t7yqvJr8ijx6PGo8WnxLPDx8LXwePA67/jvsO9p7yju6u6m7l3uE+3L7XztKOzb7J7sbexA7Bnr+eva67Pri+tp60vrKusD6t/qwuqm6onqb+pY6j/qJOoO6f/p7enS6bXpoOmN6XXpWelC6TLpHOkB6O7o5ujf6M7otOia6ILoZ+hL6DLoGOf659nnv+e157/n4ega6GTos+kA6Uvpjem46bfpk+ly6YDpueni6bnpPei16G7ofejD6RvpaemU6YvpZelb6ZHp7+o96mHqduqe6uXrNuty64breet968XsVez27WXthu137XLtpu4c7qjvD+817zrvQe9S72Dvc++m7/XwPPBk8IHwtPD/8UrxivHN8h/yevLO8xfzVvOM87fz2PPz9Af0GfQv9Fb0k/Tk9UH1n/YC9m/23vc493L3pffx+Fj4uPkB+Un5qPoV+mr6lvqm+rH6xPrk+xP7Rvtx+5z74PxL/Mb9Mv2M/en+VP66/wb/Ov9k/4j/nv+m/7P/3AAjAHIAtQDoARsBVQGOAcEB9AI2AogC2AMbA1wDswQuBMQFWgXgBlkG0wdUB9QIUAjQCVUJ0AopCmQKmwrhCy4LbguiC9sMHQxXDHwMkgyrDNYNFQ1kDbMN8Q4XDjoObw6zDusPAA7wDtIOvA69DtYPAg85D3cPsw/jEAEQGRA+EHIQqBDaEQ4RSxGOEc4SDRJKEn8SpRLAEt8TBxMtE00TcBOhE98UHxRdFJUUvhTPFMcUthSoFJ8UmhSZFKAUrRTEFOkVHBVNFXEVkhXLFiEWeRazFtQXABdOF6oX9hgwGG0YuBj/GTEZUBlwGZMZpxmSGVIY+RirGIUYjhizGN0Y/RkSGR8ZKBkqGSMZCxjlGL0YoxiWGIQYZhhAGB4YAxfwF+wX/RgXGCwYOxhKGFcYWxhcGGUYdBh8GHkYfxihGNEY8hj1GOMYzRi8GLMYsxi5GMoY7xknGVEZShkRGNYYyBjmGQcZChjxGM4YqBh1GDAX8BfXF+sYBxgHF/YYAxg8GHQYeBhEF/gXrRduFz8XDhaiFegVPBUzFe8W5xd1F5QXvRg4GMcZFRklGTUZWxl1GW4ZVRk/GSwZFBj8GOQYxRibGHIYThgnF/gXyBejF4cXaBdAFxUW7BbEFqAWfhZXFicV8hXDFZ0VehVUFS4VBRTXFKYUeRRQFCQT9hPKE6ATchM8EwwS6xLWEroSkhJlEjkSDRHlEckRsRGPEWEROxEpERUQ2hB2EBEP2w/RD8IPeg7pDh8NLQwcCwYKJQnHCgQKmAsTCzsLNwtNC4QLnQtvCxgKzAqJCicJmgkQCLMIdgguB80HbQchBucGswaEBloGMQYIBeAFuAWMBV0FOQUmBRsFDAT3BOMEzASxBJMEeARcBDcEDgPyA+UD2QPBA6UDjgN5A2IDTgNAAy8DFQL5AucC3QLSAsUCvgK6AqwCkwJ9AnICagJfAlcCVQJNAjoCJAIZAhAB+QHZAcEBsgGaAXcBVwFBASYA/QDZAMsAxACnAHsAZgB4AJYApACiAKUAsgC2AJ4AZAAV/8j/kv91/2T/Tv82/yT/Fv8C/uX+yP6x/pj+eP5U/jn+Jv4T/f797f3m/eb94f3Q/bb9mv2F/W/9UP0p/Qn8+Pzt/Nj8ufyb/Ij8f/x3/G38X/xN/Dv8Mfww/DH8LPwi/Br8Gfwb/B38Hvwe/CD8Jfwp/Cn8Jvwm/C38N/w+/EP8R/xI/EX8Pvw8/EH8SfxN/Ez8S/xN/FL8Wvxh/GT8Zvxu/Hj8gPyC/IT8i/yU/Jn8nPyj/Kv8s/y5/MP8z/zZ/N785vzy/P79CP0V/SX9NP07/T/9R/1U/V79Zv1v/Xv9h/2S/Z/9sf3D/dT96P3//hP+If4s/jn+Rv5R/lv+ZP5u/nj+gf6K/pD+kv6T/pj+n/6j/qP+pf6o/qr+qP6n/qj+qv6o/qb+pv6m/qX+ov6g/p3+l/6N/oT+fv52/mz+Y/5a/k/+P/4t/hz+DP38/e793/3P/b/9sv2s/af9nf2O/X39cP1m/V/9Vf1I/Tv9Nv08/Uf9Tv1P/Uv9Sf1H/Un9Tv1S/VD9R/0//T79Q/1H/Uf9Rf1E/UT9Q/1B/Tv9Nf0y/TT9N/04/Tn9PP1A/UP9Rf1I/U/9V/1h/Wz9e/2L/Zr9p/21/cH9zP3Y/eX98P34/gH+Df4Z/iP+LP45/kf+Uv5X/mD+cv6K/qL+t/7K/uD+/f8h/0f/bv+U/77/6wAWAD4AZgCXANEBDgFLAYkBzwIaAmUCqgLrAzIDfwPGA/0EIwRGBGkEegRgBCED8QQfBNMF7gchCEMJegr+DLIOIw7wDyoPOQ9zD+cQeBEKEYMRzRHmEegR7BH1Ef8SDhIfEiwSOBJYEoQScBHVEMQPmQ6NDYcMbgttCssKjgp/CnkKgwqiCrsKuAqeCoIKZApBChcJ5QmgCUcI7QilCGkIKwftB7sHlwd7B2cHXgdSByoG5QaUBkAF5gWIBTAE3gSBBBUDrANIAtICOQGYARcAvABoAA3/uf98/1D/Jv79/tP+nv5e/h797/3T/cX9x/3R/c39p/1r/TX9GP0L/QL89fze/LX8ffxI/Br75PuV+zz69vrM+qX6bPop+ff54Png+fj6Lfp9+s36/vsI+v768/rq+tr6w/q0+rv62fsB+yj7Sftk+3j7h/uT+6r70/wC/Bn8Cfvx/AT8TfyO/H/8FfuK+yD65PrD+q/6q/q6+tf6/Psl+0z7aPt9+5n7vvvm/Aj8JvxJ/G38jfyq/Mn85/z5/QD9Bv0U/Sj9Of1C/UT9Qv08/TP9LP0s/TL9N/03/TP9MP0w/TH9Mf00/Tv9RP1N/VX9YP1u/YD9kv2n/b790/3l/ff+D/4s/kr+Z/6E/qT+xP7m/wr/L/9T/3f/mf+8/+EACAAuAFMAeQChAMoA8gEXATgBXAGEAa4B1AH2AhQCMgJVAnwCowLEAuEDAQMmA0wDbQOKA6QDtQO6A7UDtAO8A8sD3gPxBAMEEgQdBCkEOQRLBF4EbgR+BIoEkASUBJsEqAS1BLwEwwTPBOAE8QT+BQcFEQUbBSEFHwUaBRsFJwU3BTwFMgUlBSMFLAU2BTkFOAU3BTUFMQUvBS8FLwUuBT4FPQU+BT4FPQU+BUEFQQU+BTkFNwU4BTsFPwVEBUkFTQVQBVMFUwVRBVEFWAViBWoFcwWABZIFoAWoBasFsAW4BcEFywXTBdsF6QYGBi4GUwZuBosGvgcCB0UHhgfWCDEIdgiMCJIIvwkdCXkJnQmJCV4JMAj9CMUIkwhmCDEH7wenB2kHNwcMBuIGugaSBmkGQwYdBfIFwgWTBWoFQwUYBOwEvgSGBD8D9wO9A5QDbAM7AwkC3gK1AoQCUgIsAhUCBAHvAdYBvQGkAYMBVQEgAPIA0QC3AJcAbwBEABz/8f+9/3z/LP7K/lf92f1Z/OL8h/xa/F38dvyG/H78Yfw4/A777fvY+8H7ovuY+8T8EPwz+/37lPs4+wP63/q9+qX6j/pg+g/5sflj+Sr5CfkE+Q75BPjX+J/4dPhR+C74IPgu+Bj3nPbl9n72vPdU97T3pPda9xf25va99p/2jfZy9j31/fXT9c/17/Yx9pL3A/dq98D4CPhE+HD4jfiv+PT5bfoG+oL6o/pu+i36JPo8+h75nfjv+Gr4I/fz97v3iPdr9173UfdJ90z3TvdA9y73MvdP92n3bPdi9173XfdU90f3Pfcs9wb21Pav9pv2fvZG9fz1sPVk9Sv1QfXV9rX3YPd99yn2ufZW9fH1iPU89Rv1BvTc9Kr0ivR79GX0RfQr9Bz0CPPq88/zwvO386HzgvNj80HzEfLW8pfyV/IS8crxiPFQ8Rrw4vCl8GDwFO/K74nvTe8L7sHude4q7dvth+047Pfsw+yX7HLsU+ww7Ajr4uvG66/rkets60vrMusZ6v7q5OrL6rDqk+p76mfqUeo06hjqBOnx6dXpuOmg6Y3pdelZ6UTpOukw6Rvo/Oja6LjomeiA6GzoU+g16BvoD+gM6A7oHehG6Iro2+kp6XHps+ni6e/p2Om/6cnp9eoP6dvpV+jM6I3osukR6W/prOm/6avpi+mJ6bzqD+pV6nrqjeqw6u7rOuty63/rb+t669Lsbe0G7VftVe007Tftg+4G7obu0e7l7uru/e8X7yrvRO9978zwDfAv8E/wifDW8R3xWPGU8dryJvJt8rDy7/Ml807zbfOG85/zvPPi9BT0UfSZ9Ov1RPWf9f72X/a39vz3PPeJ9+P4OfiE+NP5MPmO+df6Cfov+k76ZvqB+q/66vse+0n7ifv0/HP83v0l/WD9p/34/kT+hP7B/vj/If85/1H/fP/BAA8AUACDALUA8AEtAWEBkwHXAi4ChQLHAwEDUwPRBG0FBgWLBggGkQcqB8YIVAjUCUsJtAoDCjsKcwq2Cv4LOQtnC5cLzwwEDCsMSwxwDKYM7Q1BDZQN1Q4BDiQOTg56DpwOqQ6jDo8Ocw5eDmMOiw7KDw0PRA9rD4YPpA/TEA4QRxB1EJ8QzBEAEToRfBHEEgcSNhJYEnsSpBLKEuwTFBNLE44T0RQQFEwUfBSTFJEUgRRyFGYUXBRZFGEUcxSJFKcU0BT+FSQVSRWCFdUWKBZgFoQWuBcOF20XtxftGCwYfxjPGP8ZFRkrGVMZehl+GUoY7BiLGFMYVxiHGL8Y5xj/GQ4ZHRksGTEZJRkHGOYY0xjNGMcYsxiRGGYYNRgFF+kX6hf8GAsYERgXGCEYKhgyGEEYVRhhGF8YYRh6GKMYwRjGGLYYphifGKQYrBixGLgYzhj3GRkZERjiGLEYpBi4GNEY2RjMGKgYaxggF98XvhfDF+AX+RgGGBoYUBifGNsY2hidGEIX2xdzFw4WpxYiFYkVNhWcFrQX0hhGGBgX7Bg6GNQZRBlcGVQZYRl+GYsZexleGUAZKhkcGQsY7xjFGJsYcxhJGBkX7BfKF68XkBdnFzsXEhbsFssWqRaBFk8WHBXzFdAVqRV8FVAVJBTyFLkUhxRiFEEUHBPxE8cTmhNlEzETDhL4EtwSsRKCElsSPBIbEfwR5BHHEZoRZBE+ESwRFBDaEJAQYBBUEEMP+Q91DtYOIw00C+gKdwlvCT4JygqECvQLEwsgCzYLLArjCnsKKAnqCZoJLwjMCI8IYgggB8UHbgcrBvIGuwaJBl8GNQYIBd0FtwWOBV8FOQUnBRwFCQTsBNAEuQSeBH8EXgQ+BBsD+wPmA90D0QO9A6kDlwOEA2wDVgNIAzcDHQL/AukC2wLOAsQCxQLEArECkAJ2Am8CbwJoAl8CWQJTAkcCPQI7AjQCFgHpAcQBrAGTAXIBWAFJATUBFADyANwAyQCnAH0AYQBcAGAAaQCAAKoA0ADdAMkAmwBbABH/zf+Z/3H/T/8x/xz/CP7r/sn+rv6d/o7+df5W/jb+Gv4C/fP98f33/fn98P3c/cP9qv2W/YH9YP01/Q789vzk/Mr8pfyD/HD8Zvxe/FH8Qfwu/B78Gfwe/CX8IvwW/Az8CvwM/A38DfwM/A/8Ffwb/B38G/wd/CT8Lvw3/D38Q/xH/ET8P/w9/ED8R/xL/Ev8S/xM/FH8Wvxg/GL8ZPxr/Hj8gvyF/Ij8kfyc/KP8p/yu/Lf8v/zG/M/82vzk/Ov88/z//Qr9E/0e/S39O/1E/Uz9V/1k/W/9ef2G/ZX9of2q/bb9xf3U/eP99f4K/h3+K/42/kL+Tv5Z/mT+cf58/oP+jP6W/p7+oP6h/qf+sP62/rb+tv63/rf+tP6z/rb+uf63/rP+sv6y/rD+rv6t/q3+qv6i/pr+kv6I/n3+df5w/mf+Vf4+/in+Gf4O/gX9/f3y/eD9zf2+/bX9rv2k/ZX9h/19/Xf9cP1m/Vz9Wf1e/Wb9bP1t/Wr9Zv1i/V/9YP1i/WD9WP1Q/U/9VP1a/Vz9XP1b/Vv9W/1X/U/9R/1D/UX9R/1G/UX9Sf1P/VP9Uf1R/Vb9X/1o/XP9gv2S/aH9sP2//c392P3i/e39+f4E/g7+Gv4n/jH+Ov5F/lL+Xv5o/nP+hP6a/rL+yf7f/vb/Ef8w/1P/eP+g/8v/+QAkAEsAdACmAOEBIAFeAZsB3AImAnECtwL4Az4DjAPZBBYEQARkBI0EtgTBBJkEUAQhBFIE/wYJB0YIrAo/C90NOw4iDqUPBg9zD/UQgREMEX8RxRHfEecR8BH9EhASLRJKEkkSMRIyEmESfhIuEWQQXg9IDhoM3QvUCzkK7QqqCl4KNApAClsKWgpCCjAKLAorCiMKDwnkCaIJWAkQCMEIZAgRB+AHzgfBB6wHlAd4B0oHBwa5BmgGEAWxBVEE7wSBBAcDjgMeAqcCIQGhAT0A7gCbAD//8f++/5j/b/88/wL+v/59/kz+Mv4h/hL+DP4S/g396f2u/Xn9Wf1C/S39Ffzx/LX8Zfwf+/D7w/t/+y/68/rU+rb6gPpC+h76Ifo4+lL6dfqs+un7EPsU+wT6+/r7+vH61fq1+rD6zfsB+zr7c/up+9j79/wG/BD8Hfwj/A773/u++9/8Q/yn/Lb8Vfu5+yz60/qm+pP6kvqk+sf69vsp+1b7d/uS+7L72fv//B38N/xT/HL8j/yq/MX83fzs/PX9Av0V/Sn9Nv0+/Ub9S/1J/T79Nf0z/Tb9Nf0v/Sr9Kv0r/Sj9JP0j/Sj9MP01/Tv9Q/1R/WP9eP2S/a39x/3a/ez+Av4d/jv+Wf54/pf+uf7b/v3/H/9B/2T/iP+s/9H/+AAgAEYAawCRALsA5wENATEBVQF+AacBzgHyAhUCNgJXAnkCmwK7AtYC8wMXAz8DZgOJA6QDtQO6A7gDtwO/A80D3QPvBAAEEAQdBCoEOQRKBFkEZgRzBH8EiwSZBKcEsASzBLcExATXBOcE7gTyBPwFCgUVBRoFGQUYBR8FLwU/BUUFPQUyBTIFPQVIBUoFRwVDBUAFPAU6BTwFQAVABVAFTgVOBU0FTAVNBVAFUgVRBVAFTwVPBU8FUgVYBV0FYAVjBWYFaAVnBWcFawVxBXUFewWFBZMFnAWgBaQFrgW4BcAFyAXTBeQF+QYVBjgGWAZxBpMG0AcnB4IH1ggvCI0I0gjpCOoJBwlPCZkJsQmPCU4JCQjJCJIIaghGCBoH4AejB20HPQcSBukGwwacBnUGTwYrBgMF1gWqBYQFXQUxBQUE2ASkBGIEHAPmA8ADmgNqAzYDCALaAqkCeAJTAj0CLAIZAggB/QHwAdIBnAFYARsA7gDKAKMAeQBVADgAG//1/7//cP8C/n399/1+/RD8rfxq/F38fvyj/Kz8mPx5/Fv8O/wO+877ifto+4X7xfvn+877n/uJ+4f7dvtN+yX7BvrV+n/6Ffm3+XL5TPlF+U75Rvkb+N34qPiD+HD4efiL+GT31PcY9rb27/d198n3wfeL91P3F/bX9qr2oPaf9on2XfYy9iL2P/aR9w33j/f5+En4h/i2+NH44vkB+UH5qPov+rH68vrS+nv6Qvo/+jT53PlE+LX4XPgm9/X3yfer95j3hPd493v3gfd292f3cfeY97n3uven95v3l/eM93n3aPdW9zL3Afbb9sn2svZ99jL16fWy9Zz1z/Zi9yP3qfe493T3HfbC9lP13PWK9Wv1WfU09Qf06PTT9LX0k/R/9HX0X/Q99CL0GPQN8/Tz1vO886DzdPM68v3yvvJ18irx6fG18YTxTPEN8MfwevAv7+3vsO9u7yPu0+6H7jnt6e2c7VvtJ+z97Nnst+yP7GTsP+wo7BPr9uvQ67DrmOuC62nrT+s36xzrAOrl6szqseqU6nzqaepT6jPqEun66eXpzOmv6Zvpj+l/6WPpPOkR6OjoyOiz6KTojehw6F3oXOhf6FzoW+hy6Kno7+ky6XHprunk6gLqA+n66gbqKOo46gDpe+jw6Lvo8+lh6brp3OnV6b7prOmz6d/qJepn6pDqpOq/6vLrNOto63frceuP6/jsku0P7TPtDezl7QHtbu397m3unO6f7qXuwe7j7vzvHO9X76Dv2/AD8C/wbfCx8OjxGPFT8Zjx3PIY8lTyjvLB8ufzBfMh80LzbfOk89/0GfRY9KH08vVD9ZH15fY99pP24vcx94L30vgf+HL4yvka+Vj5jfnB+ez6Bvoc+kj6i/rL+v37PPuk/CL8ifzB/Nz8/P0s/Wr9rf32/kH+hv7B/vT/Kv9r/7H/7wAhAFAAiADDAPgBLQFxAccCGgJeAp8C/gOHBCYEuwU/BcUGXgcLB7UITAjICTEJiAnMCgEKNwp2CrkK9AskC04LeAujC88L/ww2DHgMxA0XDWcNpw3WDfsOHA40DkAORQ5KDkYOMQ4WDg8OKw5kDqMO1w78DxgPOQ9qD6gP5RAVEDkQWhCAELMQ9hFFEY8RyBH0EiASTxJ3EpkSwxL9E0EThBPDFAMUNxRQFEwUPBQwFCkUIxQjFDAURBRbFHQUmBTDFOwVFBVHFYwV1RYPFj8WgBbbFzcXeReoF+kYRRiiGNsY7hj8GR0ZRhlTGSsYzxhmGCEYHRhPGJEYxBjiGPYZChkdGSYZIhkRGQAY+Rj9GQEY+hjmGMQYkRhWGCcYFBgSGAsX+xfuF+8X+hgFGBQYJhg0GDgYPhhWGH0YnhikGJMYfhh2GH4YjxicGKIYrBi+GMsYvBiXGHYYbxh9GJIYoBicGHYYKxfVF5wXkxenF78X1RfzGCUYZRieGLIYlhhbGBYXyxd1FxYWsRY8FcYVmhYaF0AYaxjnGKUYRxhkGPEZcRmTGXsZbxmEGZsZlxl9GV4ZSBk6GSoZEBjpGL4YkhhlGDcYDRfrF80XrBeJF2QXOxcRFukWxhahFngWTxYqFgMV0BWYFWgVQRUVFN8UqxSHFGoURBQVE+YTuROGE1ETJxMIEuYSvBKXEoESbRJLEh8R/hHpEccRkRFfEUoRQhEjEOkQtRCaEH4QOQ/VD3sPKg6QDVELgAnFCOAJDgncCp4LAgshCyELAAqyCksJ9AmwCWUJCQi2CH0ITAgJB7UHaAcpBu4GtAaGBmMGPAYKBdoFsgWMBWEFOwUkBRME+QTXBLsEqwSYBHsEVgQxBBED+QPrA+QD1wPDA7ADoQOPA3gDYwNTAz8DIgMEAuwC2gLKAsMCyALLArgClQJ+AnwCfwJ4AmwCaAJnAmMCYAJjAlsCNwH9AccBogGDAWYBUwFMAUIBKQENAPYA4QDDAKMAhwBqAEgANQBIAHsApQCtAJ4AjQB4AE4ADv/H/4j/WP83/yH/Cf7k/rj+kv54/mP+Tf41/h3+Bf3y/e799/4B/gH99f3l/dP9vv2p/ZL9cf1F/Rf89vzf/ML8nfx7/Gf8XfxT/EX8M/wf/A38BvwK/BL8EvwK/AH7/fv7+/r7+fv8/AH8B/wN/BH8E/wX/B78Kfwy/Dn8P/xD/EP8QPw+/ED8RfxJ/Ev8TPxO/FP8Wvxh/GL8ZPxq/Hb8gPyF/Ir8lPyg/Kj8r/y4/MP8zPzT/Nr85Pzu/Pf9Af0N/Rj9IP0q/Tb9Qv1L/VT9Yf1v/Xz9iP2X/aj9tv3D/dH93/3r/ff+B/4b/iz+OP5D/k7+Wf5k/nD+f/6L/pL+mP6j/qz+r/6v/rT+v/7G/sb+xf7G/sX+wP6+/sL+xv7F/sH+v/6+/rv+uP63/rn+uP60/q7+pv6a/oz+hP5+/nT+X/5I/jn+M/4y/jD+LP4g/gv97/3W/cf9v/23/az9of2X/ZH9jP2G/YH9gP2E/Yj9if2I/YX9gv1+/Xr9eP13/XT9bf1n/WX9Z/1r/W/9cP1u/W39a/1o/WH9Wf1U/VX9Vv1U/VH9Vf1c/WD9X/1d/WH9af1z/X/9jv2e/az9uP3G/dX94v3t/fj+BP4S/iD+Lv46/kL+Sf5R/l7+bv5//pD+oP6y/sb+3f70/w3/KP9H/2n/jP+w/9b//wApAFUAhAC4APUBNQF0AbAB7QIwAncCvAL+A0IDjAPYBBwEVASFBLYE5wUMBQoE0wR7BD8EZAUPBjYHrwlICswMEg0XDfMOuQ9gD+IQUxDLEUERlhHEEd8R9BICEhESMhJWElESGxHtEfgSHRIPEbAREBAwDvkNkAxkC7wLaQsHCoQKHwoACgIJ9wngCeAJ/AohCjsKPwolCfEJsglrCRAIoAg8CA0IDAgQB/oH0QejB24HLQbgBo4GNgXWBXEFAQSDA/0DgQMSAqICLQHDAXABJwDSAHcAMAAE/+H/sv90/y3+5P6p/oj+eP5g/j7+Jv4j/iH+BP3U/an9i/1w/VH9Mv0G/Lr8VPv4+8D7nftw+zj7DPrz+tf6pvpz+l76b/qO+qX6t/rX+wL7Hvsa+wP69vr7+vr64Pq7+q76zfsJ+0z7jvvQ/BD8Qfxc/GL8V/w6/Af7zPux+9r8RPyy/NL8gvvn+0n62fqd+oX6iPqi+s77APsy+2H7jfu2+978BPwj/Dv8UPxn/IH8mfyv/MP81vzk/PL9A/0X/Sf9L/03/UT9Uf1S/Uf9Pf07/Tv9N/0u/Sn9Kv0p/SP9G/0Y/Rv9H/0i/SX9LP03/Uj9Xv16/Zf9sv3I/d399P4P/i3+Tf5u/o/+sP7R/vH/EP8w/1P/ef+e/8T/7QAYAEEAZgCMALYA5AENATMBWAF/AaUBygHvAhUCOgJaAngClwK4AtYC8AMPAzQDXQOCA58DswO8A7wDuwO8A8UD0wPlA/gECgQaBCkENwRFBFIEXARlBHAEgQSYBKoErwSvBLkE0wTtBPUE8ATyBQUFGwUhBRYFCgUJBRQFJAUzBTkFNgUwBTIFPgVJBU4FTQVKBUgFRwVHBUwFUQVSBWAFYAVfBV0FWwVcBWAFZAVnBWgFZwVkBWIFZAVrBXAFcgVzBXYFewV8BXwFfgWCBYcFjAWTBZsFnwWgBaUFsQW8Bb8FwwXRBegF/wYYBjMGUgZyBqAG7QdXB8YIJgh8CNAJEwkxCTYJRAltCZcJnwl5CTcI6winCHUIVgg6CBEH2QegB3AHRAcZBvEGzQarBoYGYQY9BhYF6wXDBaAFewVPBSAE8wTABIMEQgQLA+MDuwONA1sDLQL/AtACpgKHAnICYAJQAkUCPQIrAgIBwQF5AToBCwDfAK4AgQBkAFcASwAs/+//i/8D/m798P2T/T782vx9/FT8avya/LX8svyk/JX8d/w3+9b7d/tL+2H7k/uq+577ofvT/BL8H/vs+6L7Zfsl+sv6Xfn4+a75g/l5+YP5gflc+R745fjG+Mz47Pj9+Lj4CfdD9un3JPee9+b34Pez93v3NPbp9sH20fcA9yT3KfcZ9wj3FfdU97z4J/h5+LP43/j8+Qz5IvlU+aT6B/p++vr7RPsm+rn6W/pI+k/6FPmI+PL4jvha+DL4Cvft99f3wfex97H3uPey96j3tffe+AD3//fo99j30/fD96j3kPd/92X3Pfca9wX27Pa69nz2UPZB9lH2jvcD95D37vf498T3d/cU9pb2G/XS9b31rvWI9Vn1OfUf9P/04fTY9Nb0w/Sg9IX0efRo9Ej0J/QQ8/jzz/OX81rzHPLV8ozyUfIh8fDxtPFw8Snw3fCT8FHwFO/R74TvM+7m7pzuUu4K7cztmO1u7UntJOz77M/srOyU7H7sXewz7A/r9evf68frsOua64PraOtM6y/rD+ry6t7qzeq06pDqbepT6jzqH+oD6fDp5OnO6afpdelB6RTo9ejl6Nroxeiq6Jvoneih6Jnokeig6MvpAeky6WDplOnK6fjqFOoj6jnqWupm6i3pqekg6O7pLemZ6d/p5unR6cbpyunc6gLqPuqA6q7qxOrW6vvrMuti63jriOu/7DLsuO0I7P3swuyq7Ortcu3+7lPuZu5g7mzuke697uDvBu8873nvru/h8B7wXvCO8KvwzvEJ8VDxkfHI8gDyOPJn8ozyq/LN8vbzK/Nq86vz5vQi9Gj0tfT79Tv1g/Xa9jX2ivbZ9yj3effM+CH4c/i5+O/5IflX+Yb5ovm7+ej6L/p2+rP69/tb+9P8OPxu/H/8iPyf/Mv9CP1P/Z798P5B/oj+xv8D/0X/hv++/+0AHwBWAJEAzQESAVwBogHkAjkCtQNUA/QEgwUIBZsGRwb9B6cIOAirCQQJSAmACbEJ5AofCmEKowrbCwcLKAtLC3oLtQv6DEQMlQzqDTgNcw2dDb4N2g3pDewN7w34Df4N8g3aDc8N4Q4MDkAOcQ6ZDroO2Q8DDzsPeg+yD9wP/hAfEEwQiRDTERwRWhGTEc8SCBIzElQSexK0EvMTMBNtE6wT4hP8E/gT7BPpE+8T9BP6FAcUHRQ2FFIUdhSgFMcU6hUTFUsViRXEFf0WRxalFv4XPRdtF7AYEBhyGLAYxhjRGOgZChkaGPwYrRhGF/YX5BgOGFIYjhi2GNMY7Bj+GQYZBxkHGQwZFhkhGSUZIRkXGQMY4BivGIIYZxhTGDIYAxfaF8sX0hfgF+4X+xgFGAwYFxgyGFoYexiCGHAYWRhQGFwYdRiKGJQYlBiQGIYYcRhZGE0YTxhXGGAYZxhkGEAX+BerF38XfheNF5sXrxfVGAYYJRgfF/oXzReyF64XrheaF24XNBbrFpYWaRa3F5gYmxkbGOkYgBh7GPEZdxmuGZ4ZjBmYGa0ZrxmcGYMZbhlZGUEZJBkBGNgYrBiCGFsYNhgQF+kXxBelF4cXYxc2FwsW6BbIFqUWfhZWFikV8hW4FYsVaBVCFREU3xS5FJcUaBQuE/sT0hOsE4ATVRMsEwES0RKtEpwSjxJsEjgSEBH7EeURuxGNEXYRcBFaEScQ8BDKEKkQbxAlD/AP0g95Dm8Mlwp2CPEImAk7CioK0wsYCyELBgrECmUKBQm0CWYJEAi/CH4IQwf8B60HZQcjBuMGqQaCBmgGRgYQBdYFqAWCBVwFOAUeBQYE5QTCBKsEogSWBHsEVQQwBBMEAQP6A/QD5QPOA7cDpAOUA4EDbwNcA0QDJAMGAu8C2gLEArgCvQLCArYCnwKTApUCkQKCAnYCegKCAn8CdwJ0AmkCQwIIAc8BpQGFAWsBXAFYAU4BNwEdAQkA9QDcAMYAsACKAFEAJAAiAD8ATAA5ACgAPABlAHMATwAI/73/hP9f/0b/Kf77/r/+g/5S/i/+Gf4M/gL99/3w/fX+AP4D/fz98v3s/eP90f26/aD9gP1S/SD8+Pzc/MH8ofyD/HD8Y/xW/Eb8M/wf/Av7/fv5+/z7/fv6+/X78Pvq++f76vvw+/f7+/v+/AP8CPwP/Bn8JPwu/DX8Ovw9/D/8P/w//EH8RfxI/Er8TfxQ/FT8Wvxf/GP8Zvxt/Hf8f/yE/Ir8k/ye/Kf8sPy8/Mr81fzd/OT87vz4/QL9Dv0b/Sf9Mf07/UT9Tf1U/V79a/16/Yf9lP2j/bP9w/3V/eb99f3//gr+G/4v/j7+Sf5U/mD+av5y/n/+j/6b/qL+qP6y/rv+vf68/sH+y/7S/tL+0v7U/tT+z/7L/s3+0f7S/s/+zf7L/sf+w/7A/sD+wP6+/rv+tP6o/pv+kf6I/nr+Zv5Y/lX+Wv5a/lP+SP45/iT+Cf3x/d/91f3M/cP9u/2z/a39p/2j/aH9of2j/aP9oP2b/Zj9lv2V/ZP9kf2O/Yr9hf1//Xv9ef16/Xz9ff15/XT9cv1x/W79aP1i/WH9Y/1h/V/9YP1m/Wv9a/1r/W79dv2A/Y79nv2t/bn9wv3N/dv96/36/gf+Ff4k/jP+Qf5M/lP+Wv5j/nL+hf6a/q3+vP7L/tv+7/8F/x7/O/9c/3//ov/D/+QABwAwAGAAlQDNAQgBRgGFAcIB+wI2AnUCtwL8A0EDiAPNBBIEWQSfBN8FFQVDBV8FUQUIBJ4EWASCBT8GdQflCVAKngvgDSMOTw8tD7MQEBB4EOsRSBGEEbER2RHvEfcSCxInEiYR9RG/EbUR0BHkEdkRpxEaD/YOZw0DDDkL3gt4CtsKRAnuCccJqAmQCZYJugnnCgsKIAodCf0JzAmRCUEI2Ah3CEYISQhSCDwICQfPB5YHVAcDBqkGTAXuBYgFEgSLBAEDiQMfArMCRQHmAZ0BWAEDAKgAZAA5ABb/5P+j/1r/FP7i/sn+tv6N/lP+KP4e/h7+DP3t/dP9vf2d/XL9SP0a/M78YPv1+7D7jvt0+1P7Nvsf+wT63Pq1+qb6rvq/+sj6zvre+vj7CfsB+u365Prw+vj66PrJ+sH64fsc+1r7lPvS/BX8Ufx5/IT8cvxI/BP75vvY+/n8RPyY/Lz8j/wd+5P7GvrC+pD6ifqq+uH7FftB+277pPve/A/8MvxL/F/8cvyE/JX8pfy1/MX81Pzj/PP9Bv0X/SL9J/0v/T79Tv1T/U39R/1F/UT9P/02/TH9MP0u/Sb9Hv0Z/Rn9G/0c/R79I/0s/Tr9UP1r/Yf9of26/dL97P4I/ij+S/5w/pL+s/7S/vD/Df8s/1D/d/+d/8L/6gAXAEMAagCPALoA6AEUATsBYQGHAasBzQHwAhgCPgJeAnoCmgK9AtwC9AMNAy4DVgN6A5cDqwO4A70DugO3A7wDygPeA/MEBwQZBCkENwRDBE8EWQReBGQEdASLBJ4EowSmBL4E5wUFBQQE9wUEBS8FUgVOBSgFBwUABQwFGgUjBScFKQUoBSsFNAVABUkFTQVPBVAFUQVUBVoFXwVhBW8FcgV1BXMFcAVvBXMFeAV7BXsFeQV2BXMFdgV8BYIFgwWEBYcFjAWPBZAFkwWZBZ8FpAWpBawFrQWsBbEFuwXCBcEFwwXSBeoGAAYUBiwGTwZ6BrUHDweGCAEIYwisCOkJHQk/CU8JXQlyCYYJhQlmCS4I5giiCHIIVwg9CBMH2gejB3UHTAciBvsG2Qa5BpgGdgZTBiwGAQXaBbgFlQVqBTsFCwTXBJwEYAQrBAAD1gOpA3sDTgMhAvgC2ALAAqwCmAKJAoECdQJWAh8B2gGaAWgBPAENANYApwCPAIsAgwBbAAb/h/7v/mD9+/2+/X79GPyd/Er8Qfxp/JH8pvyw/LT8nPxU++X7fPtI+1L7cvt4+3D7kfv0/GL8iPxQ++/7mftN+vL6iPol+d75t/mv+bj5u/mh+XH5RPk2+U/5d/ly+QX4Nfdp9xr3XffS+BL4B/fW95r3Vfcb9xL3Sfej9/b4J/gx+CT4Hfg4+HP4sPjd+P35G/ky+Uj5dfnJ+jX6oPsJ+2z7nvtq+ub6ePpg+mv6Nfmo+RP4uPiQ+G34Q/gl+Bb4Cff79/j3/vf79/L3+vgc+Dn4Ofgk+Bf4EPf999r3v/ez96X3ifdp90/3MfcH9ub27PcZ90/3g/e99/34KPgl9/j3rPc+9rn2SfYW9hH2BPXX9aP1gfVp9U71OPU29Tr1K/UL9PH04PTG9J70efRj9E30JfPu87TzePM08vHyu/KP8lzyGvHP8YTxOvDx8LDwc/Ay7+bvlu9M7wfuw+6A7kPuD+3h7bntlO1u7UftJO0I7OvsxeyX7GzsTew17CHsEewA6+vr0euy65HrcOtU60LrMOsV6u7qyuqv6pPqcupV6kTqN+oc6enpq+lx6ULpJukZ6Q7o++jh6NPo0ejO6MLou+jM6PLpGek16VDpdumq6ePqF+pD6mvqk+qf6mTp3ulU6SLpXum+6ezp3+nL6dXp8OoK6izqZeqq6t3q8+sB6x3rR+tt64rrsev97Gnsxuzh7LXsfuyI7Oztfu317inuKu4m7j7ube6f7svu9u8l71Lvge/A8A3wS/Bl8GrwgfC88QXxRPF68bTx7vIe8kHyZPKM8rvy8/M083bztPPx9Db0f/TA9Pr1PPWN9eT2MvZ79sn3Hvd198r4GPhc+JH4wfjy+SL5SPlr+Zz54for+nH6vfsd+4n76Pwn/Ef8Wvxy/Jj8yfz7/TD9b/25/gP+QP55/rr/BP9G/3r/qf/hACQAbQC2APkBNgF8AegChQM4A9kEXwTlBYQGOQbsB4kIDQh0CL4I9AkjCVQJiQnBCgEKSAqLCrsK3Ar8CywLbAu1DAUMYQzBDRMNSA1nDX4Nlg2mDa0Nsg26DbsNrA2WDYsNlw2zDdsODA4/DmkOiA6nDtUPEQ9RD4oPtg/bEAIQMxBuEK0Q6xEuEXcRuhHrEg4SNxJsEqUS1xMKE0ITdxOUE5gTlhOgE7MTxRPSE+IT+BQXFD0UZhSNFKwUxhToFRoVVBWMFcUWDRZmFr4XARc4F3wX2Rg2GHUYjhiXGKkYxhjcGM8Ykxg2F+AXuxfUGBAYThh+GKQYwRjRGNUY1xjkGP8ZGhkpGSkZIBkXGQ4Y/RjgGMIYqxiRGGEYGhfXF7cXuhfPF+IX7xf0F/QX+hgQGDEYShhOGEEYOBhCGFsYdxiKGI0YghhuGFYYQxg8GEIYSRhFGDYYLBgkGA4X3henF4QXfReEF5MXsRfYF+gXxBd3FysXCRchF2EXpRfMF84XuheWF1sXIRcoF6IYWxjVGMwYiBiHGO8ZcBmxGbIZqRm2GccZxRm2GaYZlBl6GVkZOBkZGPQYyRiiGIQYZhg/GBAX5BfDF6YXhRdcFzYXFRb1FswWnhZxFkUWFRXkFbcVjhVhFS8VAhTeFLoUhxRNFB8UBBPtE8sToRNyEzwS/hLIEqoSmhKBElkSMhIXEf4R2BGxEZkRjRF4EVARIhD/EOMQuBB5EDoQBg+uDtMNNQsaCUcIfAjVCcAKjwr6CxwLGArqCo4KIAnBCXEJIQjQCIkISAgCB7UHaQcgBtsGowaDBnIGUwYbBdkFowV6BVYFNQUZBP0E2gS3BKIEmgSPBHUEUgQyBBsEDgQIBAID8wPZA74DqAOVA4QDdANhA0YDJQMIAvEC2AK9AqsCqQKsAqgCoAKhAqICkwJ4Am4CfQKNAocCcQJgAk8CLwICAdoBvwGqAZkBkgGNAXoBVgEvARIA+QDhAM8AvwCeAGQALgAZABb/+f/C/6j/2AA2AHwAfgBJAAT/yf+e/37/Wv8k/t3+kf5P/iP+Df4I/gb+Av4A/gX+Cf4C/fT97f3y/fD93f3B/ab9if1f/Sz8/vzg/Mf8rfyV/IH8b/xc/Ej8NPwh/Az7+vvw++z76/vp++f74/vc+9r73/vo++377fvu+/P7+vwB/Az8Gfwm/C38Mfw1/Dr8Pfw//EH8RPxF/Eb8SfxN/FH8Vvxc/GL8afxx/Hj8fvyD/Ir8lPye/Kf8sfy+/M382Pzh/Ov89fz//Qv9GP0n/TX9Qf1M/Vb9Xf1k/W39ev2J/Zb9of2u/bz9zP3f/fP+Av4N/hr+LP5A/k7+Wf5l/nL+e/6B/oz+nP6p/rH+uP7C/sr+y/7J/s7+2P7f/t/+4P7j/uT+4P7c/tv+3v7f/t3+2v7W/tH+y/7H/sX+wv7A/r7+u/60/qr+of6X/oj+ev53/nz+ff5t/lL+N/4m/hr+EP4G/f398v3l/dr90/3N/cj9wv2+/bz9u/26/bb9sP2p/aT9o/2i/aL9of2e/Zr9lP2P/Yr9hv2F/YX9g/19/XX9cv11/Xf9dP1v/Wz9bv1v/W79bv1x/Xb9d/14/Xz9hP2P/Z39rf29/cn90f3Z/eb99/4J/hv+Kv44/kb+Uv5c/mT+bf57/o7+ov60/sT+0f7f/u//Av8X/y//S/9s/4//sv/T//IAFQA/AHEAqADfARYBTwGLAccB/wI0AmsCqQLwAzwDhQPJBAsEVwSsBPwFOQVnBY4FogWHBTIExgSGBK8FUgZVB48I6gppDAINeg6LDykPjw/5EGkQwBD8ETsRghG1EcgR0xHmEe0R1xG7EbYRwxHQEegSAhHKENgPQg2xDLsMTwvpC0MKiwoDCbEJeQlVCUgJSAlHCU8JbwmXCaoJoAmDCVYJEQjDCJAIhQiJCHUIQgf/B7oHbgcTBq4GTAXyBZQFIgSdBBkDpgM8AssCXAIDAcQBhAEwANQAjABfADoACv/K/4P/Qv8W/v/+5v6x/mr+Nf4i/h7+Ev4D/fz98P3I/Y79Wv0u/O/8jvwn+9z7tPub+377XPs6+xz7APrq+tn6zvrG+sH6vvq++sL6w/q/+r36yfri+vT67/rh+uX7B/s4+2T7jfu8+/b8Mfxf/HT8avxK/Cn8GPwY/Cf8Rvx1/KH8rPyC/Cn7rvso+rr6ivqh+uL7IPtN+3z7u/v//DX8Vvxs/IL8lPyf/Kb8rvy6/Mj81vzl/PX9B/0W/R/9I/0q/Tb9Rf1O/VD9UP1P/U39R/1B/Tz9OP0y/Sz9Jv0i/R/9Hf0d/R/9I/0p/Tb9TP1o/YT9n/25/dP97f4J/iv+Uv57/p7+vf7a/vf/E/8z/1j/gf+n/8r/8AAbAEcAbgCTAL4A7QEaAUMBawGTAbgB2gH8AiECRgJlAoACoALDAuAC9AMIAycDTwNyA4oDmwOqA7QDtgO0A7kDygPiA/kECwQcBCsENwRCBE8EWwRgBGMEbQSCBJMEmQShBMEE8AULBQME+QUZBWAFkwWFBUgFEwUGBRIFHQUeBSAFJgUqBSwFMQU7BUgFUQVVBVcFWgVfBWUFagVtBX4FhAWIBYgFhQWEBYcFigWLBYoFiQWHBYcFiQWPBZMFlgWXBZkFnQWfBaIFqAWxBbcFugW9BcEFwgXCBcQFywXQBdAF0wXhBfYGCAYaBjQGXAaPBtIHMgevCC0IiwjCCOQJAgkfCToJUglnCXQJcwleCTEI8QiqCHQIVAg7CBUH4QeuB4IHWwcyBwsG6QbJBqoGigZpBkMGFgXrBcUFoQV6BU8FHwTpBK4EdARDBBoD8gPIA5wDbgNCAx0DBQLyAtsCwwKzAq0CnAJ0AjkB/wHSAa8BjQFiATABAQDfAMgApgBi//b/dP73/pX+W/41/fj9h/z2/IL8VPxl/I38sfzK/ND8s/xl+/X7jPtT+1H7Yfte+1f7fPvi/FP8f/xT+/z7rftn+xD6qPpK+g759fny+fn5+/nw+dv5y/nQ+ef59/nK+Tj4WPeV91X3n/gS+E/4QPgK99D3ofeP97H4Bfhr+MP4+/kP+QT48Pjv+QP5Gvko+Tj5Vvl++bD5/vpx+vT7Zvu++/v7/Pug+wv6nfqE+oP6Pfmr+SH43fjF+KL4cfhT+FH4U/hM+Eb4SPhF+Dn4OPhO+Gj4bfhh+Fb4Tfg2+BL3+Pfx9+r30fev95H3c/dV91X3lPgC+GP4jfiI+HL4Vvgx9/33svdL9tb2f/Zl9m32YfYv9fb11vXG9bP1oPWb9Zv1jPVv9VT1QPUi9Pj00/S89KX0e/RF9A3z1POV81fzJvL78sXye/Iq8dvxkfFL8Qzw0fCR8Ejv/e+573nvOe767r3uhu5T7ifuA+3h7b3tme127VPtKOz37Mrsp+yQ7IPse+xv7FnsO+wZ6/fr1uu766frk+tz60vrJusJ6urqxuqo6pfqh+pk6ijp4emj6XbpXOlP6UPpMOkZ6QrpAej16OXo5Oj86R/pN+lB6U3paemZ6drqIepm6qTq1urj6qPqGOmL6VnplOno6gbp8Onj6fzqIeo86lzqmOrh6xXrLus/61jrdOuK66fr3+w27IvstOyc7GHsQ+x17PPtf+3a7fPt7+357iDuVO6F7rPu4u8M7y3vVu+c7/LwLvA48CzwPfB48MDw/fEy8W7xq/Hc8gLyKvJY8ozyxfMF80jzhfO+8/70QfSB9Lv0/vVM9Zr14PYj9nH2xvca92n3tff8+Dj4aPiW+Mf4+Pkp+V/5n/no+jf6i/rj+zz7jvvY/Bn8UPyD/LP81/zo/PH9DP1G/Y79y/36/jD+c/62/u7/H/9Z/5//7wBAAIwA1gExAbcCagMoA8kESwTQBW8GHAa+B0oHwAggCGQIlQjECP0JOQl0CbMJ+Qo+CnAKjwqtCtwLGwtlC70MJQyRDOgNGw0xDUINWA1uDX0Nhg2GDXYNWg1ADTYNPg1TDXgNrw3wDiYORw5gDoQOuw7+D0EPeA+hD8IP5RAQEEAQdxC5EQYRURGNEbwR7xInElsSgxKpEtUTAhMhEzETPRNTE3ITkROrE8IT3hQDFDAUXBR+FJMUqBTJFPoVMhVnFZoV2hYqFn0Wwxb8FzwXjxfmGCcYRxhUGGYYhhimGK8Yixg9F+UXrReuF9gYDxhBGG0YkBihGKEYohi3GN0ZAhkUGRIZBxj/GPwY9hjnGNQYwhipGHUYKBfdF7UXthfRF+0X/hf9F/IX6RfxGAUYEBgMGAcYFxg+GGgYgxiKGIAYaRhLGC4YIBgjGDIYNxgkGAEX5hffF94XzReoF4EXaxdzF5sX1hf7F94XeBb7FqsWqBblF0IXmRfPF9wXzhe2F48XWBc3F2EX1RhHGHoYhxi7GSoZlxnDGbsZtxnKGdwZ1xnIGb0ZsRmXGXMZUxk3GRQY5xi/GKMYixhoGDwYEBfqF8cXoxd+F1wXOxcUFuUWtRaKFmQWPBYQFd4VqBVvFTsVFRT7FN8UuBSPFHQUZhRRFCcT7xO2E3oTNBLsErYSmxKPEn8SYhI9EhQR6xHHEa8RnxGOEXURWRE+ESURBhDREIEQHA+bDssNaAt9CaEImQizCYUKXAreCxsLLwsQCrMKOAnOCX8JMwjjCJkIWAgUB8QHbwcgBtsGpwaKBnoGXAYkBd8FpAV5BVUFNQUXBPkE1wS2BJ8EkwSGBHEEVgQ+BCsEHQQTBAoD+wPkA8gDrgOWA4IDcQNeA0UDJgMKAvMC2AK8AqcCoAKdApcClQKbApkCfwJgAlsCdQKKAn8CXQJAAikCDQHyAeMB4wHoAe4B/QIEAesBrQFiAScA/ADbAMYAuACcAGsAOgAfAAn/0f+B/1r/i//2AFAAawBSACT/9f/M/6b/gP9P/w7+xv6H/lv+Rf46/jD+I/4Z/hb+D/3+/ev95v3s/en90/21/Z/9iv1n/Tf9Cvzp/M/8tfye/Ir8dPxb/EL8LPwZ/AT78vvn++H73fva+9n71/vS+9D71/vf++L74Pvh++f77Pvw+/j8B/wV/B78Ivwp/DL8OPw8/D/8QfxB/ED8QvxH/E38UvxX/F/8afxx/Hf8fPyD/I38mPyi/Kz8t/zC/M381/zi/O38+f0E/RD9Hv0t/Tv9Sf1Y/WT9bf10/X/9jf2c/aj9s/2+/cv92f3q/fz+C/4Y/if+Of5M/ln+ZP5y/oD+if6P/pj+p/60/r3+xP7O/tb+2P7Y/t7+5/7t/u7+7/7y/vP+8P7s/uv+7P7r/uj+4/7e/tj+0v7O/sr+xv7C/sD+vv68/rn+s/6q/p/+mf6b/pr+if5i/jb+Ff4I/gj+Dv4V/hb+Df3+/e/96P3l/eP93/3b/dX90P3K/cP9u/2z/a39qf2m/aP9ov2g/Z79mv2V/ZH9jv2M/Yv9iP2C/Xr9dv16/YD9gP18/Xn9ev19/X39fv2B/YX9iP2J/Y39lv2j/bD9vv3M/dn95P3t/ff+B/4a/i7+Pv5M/lr+Zv5w/nn+hP6W/qz+v/7O/tr+5f70/wb/Gv8w/0n/ZP+B/5//vf/dAAAAJgBSAIUAugDvASIBVgGNAcUB+wIuAmMCngLkAzQDhgPPBBIEXAS1BQ8FVQWDBaYFxAXOBa0FWwT0BKkErQUcBfQHKAinClAL4w0bDeoOfg8JD4kP6RAzEIwQ+hFUEYMRmRGwEcIRxBHCEcURwxG6EdASERIgEXQQBA5uDVoM0wxgC7EK5Qo3CbkJXQkbCOgIqAhaCC0IUQi3CRkJTQlbCVYJPAkMCNoIwgjACLMIhQg7B+QHhQcYBqcGQQXrBZYFLgS1BD0DzwNgAuUCcAIeAesBtQFlAQgAvQCLAGEALv/u/6f/Z/86/yP/Cf7U/o3+VP42/ib+GP4S/hb+Df3h/aD9af1D/RP8yPxy/C78APvZ+6n7bvs3+xH7Afr7+u761vq/+rH6pvqT+nv6avps+oL6qvrU+vD6+vr/+xP7NftU+2n7ffud+8j7+Pwl/Eb8T/xE/Dv8QfxN/FH8Vvx1/LD87f0D/NX8W/uo+vb6jPqK+tD7IPtc+5X72fwg/FL8bvyF/J78sPy1/LT8ufzF/NP83/zr/Pn9Cv0a/Sb9LP0w/TX9Pv1J/VL9V/1V/VD9S/1G/UH9Of0x/Sz9Kf0l/R79F/0W/Rj9G/0h/S/9R/1l/YT9of2+/dn98v4N/i/+Wv6E/qj+xv7i/v//HP89/2P/jf+0/9b/+gAiAEsAcQCXAMIA8gEhAUwBdQGhAckB6wIKAiwCTgJrAoUCogLCAtsC6wL+Ax0DRwNoA3oDhQOUA6UDsAO0A74D1APvBAUEFQQjBDAEOQRBBE0EXARmBGsEdASHBJkEoASnBMAE5QT4BO0E6wUaBW4FpQWTBU8FGQUPBR4FJQUiBSMFKwUzBTUFNwVABU0FVwVcBV8FZAVsBXMFeAV6BYwFkAWUBZQFkgWRBZQFmAWaBZkFmwWdBZ8FoAWiBaYFqQWrBasFrAWuBbQFvQXGBcwFzQXQBdYF2wXcBd0F4QXnBewF8wYABhEGIgY1BlIGfAaxBvYHWQfWCE4IogjICNcI5gj+CR0JPglZCWgJaAlYCTUI+gixCHAIRQgrCA4H5we9B5UHbwdIByIHAAbfBr8GnwZ/BlgGKgX6Bc4FqQWGBWIFNQT9BL0EggRVBDIEEgPuA8UDlgNoA0QDLQMXAvoC3QLMAsMCrgKEAlICLQIWAgQB7wHWAbIBfQE5AOwAlQAs/7r/Wv8i/xD/C/7y/q7+PP21/UD8//z0/Qb9Hf0k/Q380fxy/AH7n/to+2D7bvty+3D7hfvC/Ab8IvwK+977t/uH+zj60vp5+kj6PPo/+kL6Q/pG+lD6XPpl+mL6Qvns+Uv4evfQ95736Pha+Jv4kvhg+DH4Ifg8+ID41vkm+WP5jPme+Zb5gPlz+XL5cflu+Xr5pvns+kP6rPsr+6/8Hvxn/H38SPvG+yr6xfqs+pb6Ofmk+S35APjy+M74m/iB+Ir4lviR+If4hPh++HD4avh8+Jf4pPif+Jb4ivhx+FH4O/g0+Cb4BPfd98H3q/eZ9634Dfio+S/5X/k3+OH4g/gt9+T3ofdW9wf20PbG9tL2xfaR9ln2PvY29ij2EfX+9fH13vXD9av1lvV79Vf1NvUe9QL01fSe9Gf0MfP2877zkPNi8yby1/KC8jPx6/Gn8WrxMfD08K/waPAo7+vvru9x7zbu/u7I7pnucu5P7ijuAO3X7a/tg+1U7SntCez27O/s7Ozh7MfspOyA7F/sP+wj7Anr7uvK65/reetb6zzrGer76ufq0Oqk6mHqGOnb6bLpm+mN6X7paulV6UfpOekk6RHpFOkw6U/pXOld6WPpe+mq6e7qQuqY6ufrI+sy6u3qWunI6Zjp1Ooj6jrqIuoa6jbqVupp6onqyusW60jrYut465Hrnuuk68LsC+xm7Jzsj+xS7BnsG+xv7Pjtde227cDtv+3a7g7uQu5s7pruzu737xDvMu9379DwCvAN7/vwB/A/8IPwu/Dv8SrxZvGY8cPx8vIp8mHynfLe8yDzWvOL88Hz/fQ69Hf0uvUF9VD1lPXZ9in2ffbK9xD3WPei9+T4F/hE+Hb4rvjm+R75Wvmj+fr6Vfqn+uz7L/t++9z8PfyU/NX88fzl/M382P0X/W/9sP3P/eT+CP48/nH+pP7a/xb/W/+rAAsAegD9AZ0CWAMUA7YEPgTEBVgF7gZ3BvIHYQfACAgIPQhzCLUI+wk9CYAJxwoHCjMKSgpfCoUKwQsOC20L2wxJDJ8M0QzsDQENGg01DUwNWA1QDTANBAzjDNgM4gz7DSgNag21DfAOEg4mDkUOdw65Dv4POg9lD4IPmw+3D9gQAxA/EIoQ2hEhEWERoBHfEhQSOxJZEngSmBK2Es8S6hMLEzMTYBOME7IT1RP8FCgUUBRrFHoUjBSuFN4VERVBFXEVrRX3FkYWiha+FvIXNheFF8sX+BgSGCwYURh8GJcYixhQF/sXtReZF6cXzBf8GC8YWxhxGHQYdxiOGLcY3RjwGPEY6xjoGOgY5hjcGM0YuxifGG8YKxfpF8QXxBfcF/gYCBgFF/AX3hfdF+gX6RfcF9cX8xgoGFcYbRhrGFwYRBgkGAMX8BfxF/4YARfrF8IXoBebF6sXsBeSF10XOBdKF5UX7RgOF80XRhbHFpAWqRbrFzUXdhecF54XhBdnF08XMBcQFxUXVhe7GB0YghkDGZEZ7BnvGcYZtRnMGeUZ4xnVGc4ZxRmtGYoZbRlUGTAZARjWGLgYnxiAGF0YOhgUF+kXvReYF3UXTxciFvYW0hawFooWXRYtFfoVxBWKFVkVOxUsFR8VDBT6FPAU5BS9FHQUHhPVE50TYxMbEtUSqhKeEpsSiBJfEiwSARHlEdERwBGzEakRmhF+EV0RQhEhEN0QZg/DDt8NhAusCc8IsQixCXMKSQrWCyMLSws5CtsKWAnoCZgJTAj5CKwIbQgoB88HcAcdBt0GrgaQBnoGWgYjBeEFpwV9BVkFNgUUBPQE1AS2BJ4EkASFBHcEZgRVBEEELQQbBAwD/APnA84DswOXA3wDaANYA0MDKgMPAvYC2wLBArACqAKfApMCjAKNAoUCawJRAlUCdQKJAnoCVwI6AiECBAHqAecB+gIXAj4CcgKdApECPgHGAVsBDgDcAMAArgCSAGYAPAAlAA3/0/99/0b/V/+b/9n/9P/2/+//3//G/6j/i/9q/0H/Ef7j/r3+of6G/mj+SP4u/h3+C/30/d/91v3T/cb9rP2S/Yb9e/1h/Tr9E/zy/NP8tPya/IX8bvxU/Dn8IfwJ+/H74PvX+9P7z/vM+8v7yvvI+8f7zPvT+9T71PvY+9774Pve++P78fwB/Ar8D/wZ/Cb8MPw0/Df8Ovw7/Dr8O/xC/En8TvxT/Fz8Z/xv/HT8evyE/JD8nPyo/LP8vfzG/M781/zj/O/8+/0G/RP9If0v/Tz9S/1b/Wv9d/2C/Y79nf2t/br9xv3R/d396f34/gf+Ff4k/jT+Rf5U/mD+bf59/oz+lv6d/qj+tf7A/sb+zP7V/t7+4/7m/u3+9f76/vv+/P79/v3++v74/vf+9/70/vD+6/7m/uD+2/7X/tX+0P7K/sb+w/7D/sP+wP64/rH+rv6r/p3+e/5Q/i3+HP4Y/hj+G/4i/ib+IP4Q/gH9+v36/fv9+f3y/en93f3S/cj9wP24/bH9q/2k/Z79m/2c/Zz9mv2W/ZP9kv2S/ZH9kP2M/Yf9hP2G/Yr9jP2K/Yj9if2K/Yz9j/2V/Zv9n/2h/aX9r/28/cj90f3c/en99/4C/gv+GP4q/j3+UP5g/nL+gv6O/pb+n/6v/sT+1/7m/vL+/v8N/x//Nf9O/2n/hf+e/7X/zv/rABAAOgBoAJcAyQD8ATABZAGXAckB/AIxAmkCpALlAzIDhgPZBCMEbQTCBR0FawWgBb8F1QXnBesFygV5BQgEqQSUBOoFrQbMCC0JnwrnC+wMwg2EDjMOwQ8+D8YQWBDPERgRSRF3EZ4RsBG2EbgRqxGTEaIR7xImEb0Qkw8pDh0NhAz+DEYLcQqpCfgJXAjgCH4IDweLBzIHVQfrCJUJAQktCUAJRgkwCQgI7QjsCOsIyQiACCAHsgc3BrkGSgXwBZsFNwTHBFsD9QODAwECiwJAAhgB7QGjAUsA/wDFAJEAVQAQ/8j/hv9X/zz/If7x/q/+df5N/jH+Hf4W/hb+Bf3X/Z/9df1W/Sj85fyc/GP8NvwC+737bfsm+v369fr6+vL62vrB+rD6m/p1+kf6Kvov+lf6j/rF+u37CPsj+0T7Xvtk+177Yft3+5f7u/vl/BP8NfxD/Ev8WPxn/G38dvyY/Nf9FP0s/Qf8mvvr+yz6qfqV+tj7NPt/+7/8A/xA/Gj8fvyU/K/8wvzG/MX8zfzb/Oj88fz5/QX9FP0k/TP9Pf1A/T/9Qf1L/Vf9XP1Y/VD9Sv1H/UH9N/0t/Sb9Iv0a/RD9B/0E/QX9CP0P/SD9Ov1Z/Xn9mP24/dX97/4M/jH+XP6I/q7+z/7u/wz/KP9I/27/l/++/+AAAwArAFQAegCgAMwA/AErAVcBggGsAdQB9QISAjICUgJuAoUCnwK7AtIC4wL2AxcDQANfA2oDcAOAA5kDrQO6A8gD4AP9BBIEIQQuBDoEQARCBEkEWQRpBHMEfwSUBKkEswS3BMIE1QTeBNYE2QUFBUwFeAVnBTIFDgUQBSIFKAUjBSMFLAU1BTgFPAVFBVIFXQVkBWoFcgV8BYQFiQWLBZoFmgWbBZwFnAWdBaIFqAWsBa0FsAW1BbgFuAW4BboFvgXABb4FvQXABckF1AXeBeMF5gXqBfEF9wX5BfoF/wYHBg8GGQYmBjUGSAZhBoEGqAbZByAHhwgBCGwIqgjACMgI1wjxCREJMwlPCV4JXAlMCS0I+wi3CHEIPggfCAgH7QfLB6UHfwdaBzcHGAb5BtgGtQaSBmwGQAYRBeUFvwWgBYAFVAUWBM4EjgRiBEYEMAQVA/EDxAOVA28DVAM6AxoC+gLkAtICswKFAmACUgJSAlMCUQJNAjQB6wFxAOEAVf/Y/3f/Sv9d/5T/vP+w/3L/Gv7A/nD+Mf4I/fL93v24/XD9CPyP/Br7vvuJ+4H7lvut+7X7tfu3+7n7tvux+7b7u/ul+2H7BPq2+o36hPqE+oP6hvqW+rP6y/rG+pn6TPnh+VH4p/gZ9+v4K/id+O749vjQ+LD4vPj1+UP5h/m1+dj5+/oX+hv6Cvn3+en52fnK+dT6Dfpx+uP7VPvE/DP8lPzP/Mn8cPvZ+0T67vrQ+qL6Mvmh+Tv5GvkR+PP4yvi6+MX4zvjG+Lj4sfip+Jv4mPis+Mr42/ja+NP4x/ix+Jf4hPh2+Fn4KvgA9/D36vfi9/b4U/jx+YP5vPmR+Sj4q/g199r3oPd691T3Nvct9zH3IPbv9rv2o/af9pH2cvZQ9jj2I/YO9f317vXY9bv1nfWB9WD1MPT49ML0j/Rb9Cfz9/PC837zLPLZ8o7ySvIL8dHxmvFe8Rvw1vCW8FnwHe/i76rvdO8/7w7u4u647ovuXu4y7gft3O2y7Y7tdu1n7WHtWu1K7S3tCOzl7MXspeyD7GLsQOwZ6+7ryOuo64rrautN6zTrFOrg6prqVOoe6fvp5unW6cTprumb6Yzpeulf6UnpTulp6YPpjemO6Zfpsenf6iTqferb6zPrduuH6z/qpeoO6dzqFeph6nXqXupZ6nHqh+qR6rDq9Os962jrf+uY667rsOuw69zsO+yV7Krscewd6/DsD+x17PrtZu2V7Zbtmu3B7f3uMO5X7oXuve7n7vrvE+9Q76fv5O/p79bv3PAI8EPwefCt8ObxHvFQ8YHxuvH48jbydPK48vvzMvNd84rzwfP89Db0dfS69QL1SvWV9ej2PPaF9sb3CvdR95T3y/f7+C74Z/ig+Nj5FPle+bj6F/pn+qP63Pso+5H8Cvx8/M386fzW/Lv81f0y/aX97v32/eL93/38/i7+Zf6X/r7+5f8l/5MALADcAZMCSgL8A6AEMwS8BT0FtgYmBpMHAAdkB7QH9AgxCHYIvgkHCVQJoAneCgIKDgoWCjAKZQq1CxkLhQvnDDIMaAyRDLUM1wz3DRQNJQ0aDO8MuAyQDIgMmgy+DPcNQg2NDcIN3Q3uDgsOPQ58DsAO+w8nD0MPVg9nD3wPng/XECMQdxDFEQwRUhGVEc0R+BIVEisSPxJXEnoSpBLQEv8TNxNzE6oT1hP7FCAUPxRSFGAUcxSTFLoU4hUMFT8VfhXJFhgWXBaNFrQW5RcnF24XqBfSF/kYJhhXGHsYfxhYGBAXwheKF3YXhRewF+kYHRg6GEIYSRhjGIwYsRjGGM4YzxjNGMwYyxjHGL8YrxiSGGQYLBf6F94X2hfmF/cYAhf8F+cX1RfZF+oX7xfeF88X2xf9GBkYIxgkGCIYFxf6F9MXthetF7QXvBezF5MXbxdiF3IXfRdjFykXBRclF4MX3xfwF6EXJhbPFsEW5hcRFzMXVBdtF2oXSBcoFxwXGRcMFwEXExdNF6sYNhjxGasaFhoQGdYZuBnMGegZ6xnhGd0Z1hm+GZwZgBloGUUZGRjxGNIYshiQGHIYWBg2GAYX1RevF4sXYBcyFxAW/BbeFqsWbRY7FhkV9hXHFZYVdRVoFWUVYBVWFUoVMBTzFJEUJBPTE6YThBNQEwwS0RK1Eq0SnhJ6EkwSKhIXEggR9xHqEeUR2RG2EYoRbhFfETcQ1BAvDzQNuQvDCdYItQi4CXwKTwrXCykLXQtXCwEKgAoQCb0JbAkUCMQIggg2B9MHawcZBuAGtAaRBnMGTwYbBd8FrQWHBWIFOQUPBOsEzQSxBJwEjwSJBIMEeQRqBFUEOwQgBAkD9APhA80DtQOXA3kDYQNQA0EDLQMUAvgC3ALEArcCsgKqApsCjwKIAnsCYwJUAmACfAKHAnUCXAJNAjsCFwHyAeYB9wIcAlcCrgMCAxQCwwIxAZ4BMADuAMoAtQCWAGcAOgAjABL/5P+W/07/L/8y/z3/SP9d/3z/kv+T/4P/cP9g/1D/PP8j/wT+4f66/o7+Yf45/hn9/f3i/cv9u/2r/ZP9eP1o/WX9YP1N/TD9FPz6/Nn8tPyU/H38Z/xO/DT8G/v/++L7zfvG+8X7w/u++737vvu++777wvvG+8j7yvvQ+9X70/vO+9D73/vu+/b7+/wH/Bb8IPwk/Cj8L/wz/DP8Nfw8/ET8SfxO/Ff8Yvxr/HH8efyE/JD8nPyn/LP8v/zI/ND82/zo/PT8/v0I/RX9JP0x/T39S/1c/W/9ff2J/Zb9pv23/cb90/3f/ev9+P4E/hH+H/4v/kD+UP5d/mn+d/6I/pf+ov6r/rf+xP7N/tL+1/7f/uf+7v70/vv/Af8E/wX/Bv8G/wT/A/8C/wL+//77/vj+9v7y/u3+5/7k/uL+3/7Z/tL+zf7L/sj+xP69/rX+r/6k/or+aP5Q/lD+XP5e/k7+Ov4v/i7+Kf4e/hL+DP4L/gv+Bv38/e793v3R/cj9wP24/bH9q/2k/Z39mf2a/Zz9m/2Y/Zf9mP2Z/Zn9mf2b/Zv9mP2V/ZX9l/2Z/Zr9mv2b/Z39o/2r/bT9uv29/cH9yf3W/eH96f3x/fz+Cf4U/h7+Kv47/k7+Yf51/on+nf6s/rX+vP7G/tf+6f76/wn/F/8m/zj/T/9o/4P/nv+3/87/5gADACgAUgB+AKoA2AEKAT8BdAGnAdYCBgI9AnsCugL2AzkDhwPdBDEEfwTOBSEFcQWwBdcF6wX3BgEGAAXbBYYFFgS7BJ8E0AVVBisHQghwCY8KlAuKDHENRA4MDtQPjRAdEH8Q0REmEW8RlRGgEZ8RjhF1EX4RwxIBEcMQ6A/VDwIOew3zDUAMdQuiCrgJvgjpCFQH2AdQBukG/AeVCFMI0QkECRoJKgkmCQkI8QjzCPoI5giuCF0H+Qd+BvcGewYUBbQFSATWBHAEEgOnAyoCuQJyAkwCIgHfAY0BQAD8ALkAcwAs/+b/p/93/1b/NP8D/sb+jf5g/kD+Kv4b/gf94v2z/Y/9ff1k/Sj80vyD/E78Jfvy+637YPsh+v/6+/sB+vr64/rJ+rD6j/pg+jH6Fvoe+kL6efqz+un7GPtF+2n7cvtc+z77OvtR+3D7jPuy++r8JPxL/Fz8ZPxq/HT8jfy5/OD84/y5/Hn8LfvM+1n7APrv+yX7cvu0++z8I/xU/HH8gvyX/LH8xfzN/NP84fzx/Pz9Av0L/Rb9I/0w/T39Sf1P/U/9T/1W/V/9Yf1b/VL9S/1H/UD9Nf0r/SL9Gf0N/QH8+vz4/Pj8+f0B/RP9LP1I/WX9hP2k/cX95v4J/jL+Xv6L/rb+3v8B/x//Ov9Y/3v/ov/G/+gACwA0AF4AhwCvANkBCAE4AWQBjAG0AdcB9gITAjMCVAJvAoMCmAK0AtEC6AL+Ax0DQwNeA2cDagN6A5kDtQPHA9cD7wQJBB0EKgQ3BEQESAREBEQEUgRmBHcEhQSaBLIEwgTHBMoE0gTXBNUE2QTzBRwFNAUrBREFBQURBR8FIgUeBR8FJwUuBTMFOwVIBVgFZAVuBXgFgwWNBZYFmwWcBasFqQWqBa0FsQW0BbkFvwXDBcUFxwXLBc4FzgXOBdAF0wXUBdEF0AXWBeEF7wX7BgMGCgYPBhMGFQYXBhsGIAYoBjEGPAZKBlsGcgaPBq4Gzgb7B0YHtQguCIYIpwioCK0IxwjrCQ0JKwlHCVYJTwk6CR0I+AjFCIgIUgguCBUH+wfZB7IHiwdmB0UHKAcMBuwGyAajBn0GWAYzBg0F6wXLBakFeQUzBOIEmgRsBFUERwQ0BBYD7gPCA5wDfwNjA0MDIwMIAucCuAKFAmgCbgKHAp4CrgKxAosCHQFuALEAE/+k/2T/Xv+W/+0AKwAvAAr/4f/B/57/af8m/uP+n/5L/dr9UvzG/Er76/uy+6b7vvvi+/b76fvB+5H7c/t4+5b7sfuo+3f7NvsB+uD6zPq8+rH6tfrN+vD7Afrl+pr6N/nU+Wn46fhu+DX4YvjV+Tv5XflH+TT5UPmW+d76CPob+jb6afqd+rX6q/qS+nj6W/pC+kn6i/r/+3374/wz/H78yPz0/Nv8c/ve+177Fvrt+qb6Kfmg+Uj5K/kl+RP4/fj4+QD5Afj1+Oj44PjX+Mz4zfjk+QD5DfkL+Qf5Afjy+Nv4xviv+Ib4T/gr+Cr4OPg7+Ev4lvkb+ZX5wvmX+Tj4x/hW9/33z/fB97b3oPeN94L3bPdB9xD29vbt9t32ufaS9nf2aPZc9lL2SPY39hz1/fXe9bn1ivVU9SH08vTE9JP0XfQe89Hzf/My8u7ysPJ18j3yB/HN8YvxRvEE8MXwiPBP8Brv5u+z74LvUe8g7u3uve6R7mbuO+4X7f7t7+3i7dPtwe2q7YrtZ+1G7SftAuzZ7LDsjOxo7EPsHev769rruuuc637rWOsg6tzqnepw6lTqQOot6hbp/eno6dbpvumf6YrpkOmr6cXp0OnW6eTp/+os6nDqyusr64TryOvY643q7+pU6hzqTeqQ6p/qjOqN6qbqtuq56tXrFOtV63frh+uc667rsOu/7AbseOzJ7LnsXOwB6+bsGOx/7PbtUe117XLtee2n7ejuHe5D7nHuqe7S7uDu7u8j73fvuO/I77nvt+/T8ALwNvBt8Kfw3fEP8Ubxh/HL8grySfKO8tLzCPMy817zlPPO9AX0PPR69L/1CPVV9ab19fY99n/2wfcF90X3f/e19+z4Jfhg+Jz43Pkl+Xv51von+mb6nfrj+0f7wvxA/J78xfy7/LD83/1S/dH+Ff4K/d39xv3c/hT+Vv6L/qb+s/7b/0X/9wDIAZACQgLmA4cEIASlBRMFcAXNBjIGnAcBB1sHqQftCCwIbQi1CQgJWwmdCcEJzQnSCeQKEgpgCsMLJQt3C7gL9AwvDGQMkQy5DOEM/AzzDL8MewxNDEkMZwyaDNwNKA1rDZQNpg20DdIOBA5CDoIOvA7pDwcPFw8eDykPSQ+JD+AQOhCJEM8REhFREYgRsxHTEeQR7xIFEi4SZRKbEs0TCBNNE5ATxhPuFBAUKRQ5FEcUXBR5FJQUrxTTFQgVSRWUFeUWLxZnFooWrBbdFx0XXBeUF8kYABgzGFYYYBhKGBQXyBd9F0sXQxdnF6QX3Bf6GAIYCxgmGE8YdxiWGKgYrBimGJ4YnhinGLAYrBiTGGYYMhgIF/IX6xfsF/IX9xfwF94X0xfkGAYYGBgIF+oX2BfSF80XyRfRF+EX4RfFF5wXfBdvF3MXgBeHF3YXUhc1FzIXNhciFvsW7RcfF3oXuherF10XDhb0Fw4XMhdAF0EXUBdoF2wXUxc4FzYXQhc/FyUXAxbwFwgXbhg0GSEZzxoEGegZ0BncGfAZ8RnrGeoZ5RnNGawZkRl5GVgZMhkTGPcY0xinGIUYbhhPGB4X6xfHF6kXgBdTFzYXIxb9FrkWchZNFkgWPxYTFdAVmRWCFYEVfBVmFUEVDhTIFGwUDhPKE6wTnxOAE0YTBBLWEsESshKZEnkSYRJTEkQSMBIgEhgSChHpEb8RohGVEXgRLhCdD5sN/AvcCdwIxgjgCawKcArfCyALUwtaCxYKpAo7CecJkQkzCOAImAhDB9YHawcdBukGvQaVBnAGSQYYBeQFugWZBXMFQQUNBOIEwgSoBJUEjASLBIoEhAR2BGEERAQkBAQD6QPXA8kDuQOdA3sDXANHAzcDJgMQAvYC2QK/ArACrAKqAqEClgKKAncCYAJVAl8CbwJqAlQCSAJMAkcCIwHzAdoB3gH4Ai0CiQLtAxkC4QJaAcQBTwEKAOwA3gDCAIoATQAlABD/7v+v/2L/Iv71/tj+0v7q/xn/Qf9Q/0b/Mv8i/xv/Gf8T/v/+4P67/pP+Z/45/g395/3J/bL9nf2E/WX9TP1E/Uf9RP0y/R39D/z//OL8vPyZ/H/8ZvxM/DP8HPwA++H7yvvB+7/7uvu0+7L7s/u1+7b7ufu9+7/7wfvH+8r7xfu++8H7z/vd++P75/vy/AH8CvwN/BP8Hfwl/Cj8K/wy/Dr8QPxG/E/8W/xm/G/8efyE/I78lvyh/K/8vfzJ/NX84/zw/Pz9BP0O/Rv9Kv02/UH9T/1g/XL9gf2O/Zr9qf26/cv92v3m/fP+AP4M/hj+Jv43/kn+Wf5m/nP+gf6Q/p3+qf61/sP+z/7Y/t/+5f7s/vP++v8C/wn/DP8O/xD/Ef8Q/w//Dv8P/w7/Cf8D/wL/Av8B/vz+9v7z/vD+7f7p/uP+3f7W/s/+xv69/rX+rP6b/oD+af5q/of+pP6i/n/+Vf48/jX+M/4t/ib+H/4a/hP+Cf37/en92f3O/cj9wv27/bT9r/2q/aT9oP2g/aH9oP2e/Z79ov2j/aL9o/2n/a39rf2o/aT9pv2r/a/9sP2x/bP9uf3B/cn90P3V/dr94P3q/fb+Av4L/hT+Hf4n/jL+QP5S/mX+d/6K/p3+sf7B/sv+0/7d/ur++v8M/x3/Lf8+/1H/Zv98/5P/q//F/+H//wAgAEUAbQCXAMEA7AEaAUwBggG3AeYCFAJLAowC0AMOA0oDjwPiBDoEjQTXBRsFYAWiBdkF/AYKBg8GFQYQBesFogVFBO8EtASoBOcFfAZWB1EIVwliCnALegyBDYUOcA8rD7YQMBCuER4RaRGMEZYRiRFwEXARoRHQEasRHxB5EAYPtg9JDrAOBQ1BDDIK3wmnCNkIXAfnB3kHXwe+CFEIugjjCPMJAgkCCOsI0wjNCM4IwgikCHkINgfLB0QGwQZTBecFbQTtBIMELgPWA20DBgK6AoYCUQINAb4BbgEeAM4AggBAAAP/y/+a/2//Q/8N/tT+oP54/lr+Rf4t/gL9xf2R/X/9gf1o/RX8ofw9/AD72fux+3/7Tvso+xX7E/sT+wj67vrL+qP6d/pN+jD6Jvos+j/6Z/qh+uT7JPtY+3X7bftE+x37HvtC+2f7ffuY+878FfxQ/Gz8bfxl/Gn8jfzA/Mv8g/wF+6D7g/uS+5n7jPuI+6D7xvvm/Ab8LPxS/Gz8fvyS/Kj8ufzG/NT86Pz5/QP9DP0Z/Sj9Mv05/UL9T/1a/V/9Yf1m/Wr9af1i/Vn9UP1H/T79Nv0u/SX9F/0J/QD8/vz+/Pz8+/0B/RH9Jv09/VT9cP2R/bX93P4G/jP+YP6O/r3+6v8S/zH/S/9n/4j/q//M/+wADwA5AGYAkgC8AOcBFAFCAW0BlAG2AdYB9AITAjUCVgJwAoACkwKzAtoC/AMWAzMDVANtA3YDeQOIA6YDxQPaA+kD/QQSBCEEKgQ2BEQESwRGBEQEUARmBHsEiwScBLMExwTSBNcE3QTlBOgE6wTzBQEFCwULBQkFDQUXBRwFGwUZBR0FIwUoBTAFPQVQBWIFbwV7BYgFkwWcBaMFqQWsBb8FvQW/BcYFzQXSBdYF2gXcBdsF2wXfBeMF5AXjBeQF5QXlBeIF4wXtBfsGCgYYBiYGMQY2BjYGNAY2Bj0GQwZJBlEGXQZtBoEGlwaxBssG5QcOB10H1QhQCJkInwiICIgIrAjcCQMJIglBCVQJTgk0CRYI/QjfCLQIhAhaCDgIFQftB8QHmwd1B1IHMwcWBvcG1gazBpEGcgZWBjgGGQX5BdMFnQVRBPoErQR8BGYEWQRJBC4EDAPnA8UDqAOLA2oDSAMmAvwCxwKUAoAClAK+AuYC+wLtAqACBwE7AH3//P+2/5f/nP/MABcAVQBsAGkAaABuAGQANf/m/4n/Jv62/jP9oP0M/Ib8G/vX+8D70fv1/A37//vL+4v7Zftq+4f7mvuT+3v7avtf+037J/r5+tn60/ro+wP7CPrg+o36MPnk+Z35PfjL+IH4mfkI+YD5ufmx+ab5y/oX+ln6cPpy+oz6z/sa+0H7Pvsj+wL64PrF+tD7G/uY/BX8Z/yR/LX84vz7/Nf8bvvq+4L7QfsD+qH6Hfmj+Vr5Qfk6+TL5LPkv+TT5Mfko+SH5G/kS+Qn5Dvki+TX5N/ky+TL5NPkq+RL49vjX+Kz4ePha+GH4d/iH+KL48flp+cb5z/mM+TD42/iN+E34LPgm+B/4Bffl98/3uPeT92b3Rvc29yH2/vba9sT2u/a09qv2oPaP9nX2VfY09hD15PWz9YP1WPUv9P/0wvR59Cjz2vOT81TzGPLd8qXycPI48fjxtvF08TXw+fDA8IrwVfAg7+3vuu+G71LvIu727svuo+6F7nfube5d7kHuIe4C7ePtxO2m7YXtWu0p7Pvs2ey+7KDsfuxY7DDsCuvp68nroOtp6yvq9urQ6rjqo+qM6nDqU+o56iHqBOnl6dXp4uoB6hzqJuos6jnqUep66r7rGut+69bsFewd68vrK+qQ6lPqeeqw6rrqruq66trq6Orj6vXrLetl63/rh+uW66rru+vm7Efsu+zu7LXsQ+vy6+/sK+yG7OjtM+1S7VPtX+2T7djuDe4v7lfui+6x7r3uyO7270Xvi++m76Dvm++p78vv/PA28HTwrPDg8RvxXvGj8eLyIPJj8qby3PMJ8zfzbfOn89z0EPRL9JD02PUh9Wj1rvXz9jf2eva79vr3N/dz96736Pgm+Gr4sfj4+UL5kvnj+ir6Zvqm+v77dfv5/GT8mvyd/Jv8yv0u/Zb9xv20/Yz9gf2l/en+Of58/p/+qP7A/x3/zgCuAYICMgLOA2gD+gRxBMkFEwVlBcQGKQaLBuoHRAePB8kH/gg/CJEI5wkuCV8JfQmQCaUJzQoSCmkKuwr/CzwLgAvLDA8MSAyBDL0M5AzXDJMMPwwNDBEMPwyADMgNDQ1EDWQNcQ19DZgNyA4DDj8Odw6lDscO1g7WDtoO/Q9JD64QEBBgEKMQ4REZEUgRbhGMEZ4RqBG8EegSJRJeEpESyxMSE1wTmxPOE/YUERQfFCsUQBRaFG8UghShFNMVEBVUFaEV8RYzFlwWexakFt0XHRddF54X3xgUGDAYNhgnGAIXwxdyFy0XEhcsF2cXnxe9F8UXzBfiGAkYOBhlGIQYjBiAGHEYchiGGJ4YqBiXGG0YORgNF/MX6RfnF+oX7RflF9IXzBfoGBkYOBgsGAQX2Re2F5kXixeWF6cXoRd/F1sXSRdFF0MXRxdSF1EXNhcOFvMW5RbVFsYW2xciF3AXhxdXFw8W7xcLF0AXYRdfF1QXXRd3F4QXeRdsF3AXfRd4F04XABacFlAWZxcYGDgZRhncGf0Z9Bn1GfsZ9xnxGfIZ7RnYGbwZphmQGW8ZShkuGRcY8hjCGJ0YhhhnGDMX/hfeF8kXqBd8F1cXNxcEFrsWfxZzFokWihZQFe8VmxV0FWwVXhUwFOcUmRRTFBcT5hPFE7kTtBOeE2sTKhL1EtkSyxK8EqgSlRKGEnYSYxJQEkASMBIaEgMR7hHXEbARbRDvD/EOOAv3CfII+gk4Cg0KuAr8CxQLMws8Cw4KtgpeCg4JtAlTCPsIrAhQB+EHeQctBvkGywaeBncGTwYiBfQF0AWwBYQFSAUKBNoEuAShBJQEkASQBI0EhwR9BGwEUAQqBAID4wPTA8wDwQOnA4ADWAM7AyYDFAMCAu0C0wK3AqMCnAKcApsClQKHAm4CUQJAAj8CPwItAhMCDQIbAh8CAQHUAbgBtAG/AdsCGAJoApcCfQIjAbUBXAEwAS4BPQEuAOwAiwA9ABL/9f/I/4f/Q/8K/uD+zv7W/vL/Df8X/wf+5v7F/rb+uP6+/rj+p/6S/nr+WP4r/fr90P2x/Zj9f/1i/UP9Lf0m/Sn9JP0W/Qj9A/z8/Of8xvyl/Ij8bPxO/DT8IPwJ++771/vL+8P7ufuv+6v7rfuv+7D7svu1+7b7uPu8+737uPuy+7X7wvvN+9D70/vd++r78vv1+/z8CPwS/Bf8Gvwh/Cr8Mfw5/ET8UPxd/Gn8dfx//Ib8jvya/Kr8uvzJ/Nj86Pz2/QD9Cf0U/SP9Mf09/Un9Vv1m/Xb9hv2S/Z79q/28/c393f3q/fj+Bv4T/h/+Lf4+/lD+Yf5u/nv+iP6V/qH+rf67/sn+1f7f/ur+8/76/v//Bv8P/xb/GP8a/xz/Hv8e/xz/Hf8e/xz/Ff8Q/w//D/8N/wj/Av7+/vr+9/71/vP+7P7i/tb+yv7A/rr+tP6o/pP+hP6L/qf+u/6v/of+X/5K/kX+Rf5B/jr+Mf4m/hj+Cv36/en92/3U/dL9z/3I/cD9u/22/bH9rP2q/an9qP2o/az9sf2y/a/9rf2x/bj9vf28/bn9u/3B/cf9yf3L/c790/3W/dr94f3p/e798v36/gf+F/4l/i7+NP49/kr+Wv5s/n7+j/6g/rD+v/7M/tn+5v70/wH/D/8f/zD/Qv9V/2r/gP+T/6X/uf/T//QAGAA9AGIAhwCvANkBBAEuAVoBjQHCAfUCJAJXApYC3AMhA2EDowPwBEYEmQTfBRYFSAWABb4F9AYSBhwGIQYqBikGDgXVBYUFJwTNBJYEoAT4BZUGagdqCIMJoQrAC+QM/w33Dr0PYA/4EIoRBxFiEZMRlBF3EWgRgxGpEZwRVhEWEQIQ9BCwEDoPug8dDhwMrwtCCkcJuQk7CKsIQwg8CHoIswjKCNQI4AjgCMwIswijCJQIggh0CGsISgf0B3YG+AaOBiMFnwUTBKEEUwQRA8IDaQMUAskCfgIxAeIBjgEzANoAjgBSAB//7P+2/3//Rv8P/t7+tf6S/nX+Xv4//gn9vv2E/XX9ev1a/Pj8cfv8+7L7h/tm+0n7Mfsj+x77Ifsj+xj6+vrM+pb6ZvpK+kb6TPpM+k36Z/qi+uv7LPtZ+237YPs5+x77L/tj+4z7l/uc+778AfxI/HP8dvxi/Fr8gPy8/MT8Yvu++0v7T/un+/r8FvwO/AX8CPwR/CL8OvxW/Gz8ffyP/KH8rvy8/ND85/z5/QX9E/0n/Tn9Qv1E/Ur9Vv1k/W79dP13/Xj9dP1t/WP9WP1L/T/9OP00/Sz9Hv0P/Qr9Df0Q/Q39Cf0L/Rf9J/04/U39Z/2F/aj90f3//i/+Xf6L/rz+7f8W/zT/T/9s/4z/rP/J/+cADAA2AGYAlQDDAPABHQFJAXMBlwG4AdcB9gIWAjkCWgJxAoAClAK3AuYDEAMvA0oDZwOAA4wDkAOcA7YD0gPnA/UEBQQUBB0EIwQtBD0ESQRMBE4EWgRyBIoEmQSmBLgEzATcBOYE7QT0BPkE+wT7BPwFAQUJBRIFGQUaBRYFEwUWBR4FJQUrBTYFSQVfBXAFfAWJBZgFpAWrBbAFuAW+BdMF0QXSBdkF4gXpBewF7wXwBe8F8AX0BfkF+QX1BfMF8gXyBfIF+AYFBhYGJgY2BkYGVAZbBloGWAZbBmIGZwZqBnAGfwaSBqMGsgbFBtoG8QcXB2QH3QhZCJ0IlghzCG8ImgjWCQQJJwlNCWkJaglPCTAJHAkLCOwIvgiNCF8IMQgDB9kHsweNB2YHQQchBwUG6gbOBrEGlAZ3BlsGPwYgBfgFvwVxBRkEzASaBIAEcARcBEEEIgQFA+kDzAOrA4IDVgMtAwUC3QK7ArACxQLuAxIDFgLlAnABwAEBAG0AHgAB//P/7f//AC4AZQCOAKUAtwDEAL0AlwBT//j/jP8R/oj99f1b/Mb8Svv5+9v74/v6/An7+/vQ+5z7fvuA+477j/uF+4j7qfvP+8/7m/tN+wv67Prt+vn69/rR+or6P/oI+dj5j/kp+Nr44flF+b/6AvoC+fn6I/p4+sD61frQ+uT7JPtx+5/7ovuP+3X7WvtK+2P7u/w8/K/86Pzx/PX9Cf0S/Of8g/wP+7L7Z/sM+pH6Dvmr+Xj5Z/le+Vb5VPlZ+V/5YPle+Vz5V/lO+Uj5T/lf+Wb5X/lW+Vr5YPlX+Tn5Fvj2+ND4pfiH+IT4jvid+Mv5OfnJ+iX6Efmo+Tn49PjN+LH4n/iW+Ib4ZPg9+CL4Dvfu98f3p/eS93v3W/c99y33I/cW9wX28/bg9sj2qvaL9mr2QvYU9ef1wPWY9WX1I/TW9If0PfP787vzfPM/8wjy1PKd8mLyJPHm8arxcPE28PzwwfCI8FPwIO/r77fviO9d7zTvD+747u/u5e7N7qbufO5Z7jzuIe4F7eHtsu177UztLe0Z7QLs4ey37IfsW+w17BPr7Ou664PrVes06x3rBerp6snqqOqK6mzqTeo16jHqSupt6oPqheqA6oPqleq86wHrYuvK7CXsXexX6/rrV+rB6obqo+rN6tXq0urs6xLrG+sJ6w7rPOtx64fri+uZ67br4ewn7Izs5Ozo7I3sHevo7ADsQOyL7NbtE+0z7TztUu2L7dHuAO4a7jnuZ+6O7p/ure7X7x7vYu+F74zviu+R76fvz/AI8EjwhfC98PnxO/F+8b3x/PI+8n3ys/Li8xHzRvN987Lz6PQm9Gz0tPT49Tf1dfW19fj2O/Z79rf29fc193L3rffu+Dj4hPjH+QX5SfmY+eT6JPpf+rD7JPut/CP8Y/xv/G78ifzG/QT9IP0Z/RD9Jf1c/an9/f5K/n7+lv6x/wX/rQCKAWQCFwKuAzwDvQQgBGQEogTxBU8FrAYEBmEGwAcRB0oHewe4CAgIXAimCOgJIQlOCW8JkwnHCgYKQQp3CrYLBgteC64L9wxGDJUMwQynDE8L7wvBC9gMHAxtDLYM8Q0cDTUNQA1IDV0NhQ26DfIOJw5XDn4OkQ6QDpIOtw8KD3YP2hAqEG4QrBDfEQQRIhFCEVwRbRGCEaoR4hIbElASixLRExwTYROeE9IT8hP8FAEUEhQrFD8UURRuFJ0U1RUQFVQVoBXkFhUWPBZsFqoW7BcwF3kXwxf5GA0YBxf2F94XsBdoFxsW7Rb0FycXYxeKF5oXoBexF9IYBBg8GGYYchhlGFQYVRhpGIEYjBiBGF8YLxgAF98X0BfOF9QX1xfLF7QXrxfQGAgYLBghF/YXyBegF4EXcxd4F3gXWhcuFxwXKhc1FyMXCRcHFxYXFBb3Fs8WqxaPFokWtBcJF1IXUxcUFtgW1RcHF0EXXhdgF10XZxd6F4YXiReLF5IXlxeJF1kW+BZjFcsVnxY8F4YY5BnFGg0aChoCGgIZ/hn5GfgZ8RndGcYZtxmmGYQZWRk5GSIZARjXGLUYoBiBGEsYEhfvF98XxReYF2gXOhcDFsUWnBaiFsAWvRZ6FgwVqBVxFVoVPRT6FJUULxPmE8ETtxO7E8ITwROrE3oTPhMMEu8S5BLcEs4SvRKtEqESlRKEEmwSVhJLEksSRBImEfMRsxE9EDUOVwv3CfkJLQmZCn8LFgswCxoLEwsPCu4KswpyCisJ0AlrCQ8IvAhgB/cHkwdGBwsG1wapBoEGWgYvBgYF4gW9BYkFRwUHBNcEuQSrBKsErwSsBJ4EkASHBHwEYgQ2BAgD5gPXA9IDxwOqA34DUgMvAxYDAgLxAuECzQK1Ap8CkwKRApECiwJ6Al0COgIfAhACBAHvAdgB0QHYAdUBugGWAYIBfwGAAYYBnQHFAeQB4gG9AYkBYQFeAYoBxwHUAYcA+wB2ACgABf/l/7T/ef9I/yT/Cv74/u3+6/7o/tX+rP58/lz+Vv5d/mD+XP5V/kn+MP4L/eT9wf2f/X79X/1E/Sz9F/0J/QL8/Pz0/O/87/zt/N78xfyr/JH8c/xU/Dn8JfwS+/z76Pva+837vvux+6z7rvuv+677rPur+6v7rfuw+7L7rvuq+677ufvB+8P7xPvN+9f73vvh++j78/v9/AH8BfwL/BX8IPwr/Df8QvxO/Fz8avxz/Hn8gfyQ/KP8tPzD/NP85Pzx/Pv9Bv0W/Sf9Nv1D/U/9Xf1r/Xr9iv2Z/aX9sP2+/dD94f3w/f7+Df4c/ij+Nf5G/lj+aP52/oP+j/6b/qb+s/7C/s/+2P7j/vD+/P8D/wj/D/8Y/yD/I/8k/yf/Kf8p/yj/Kf8q/yf/If8c/xr/GP8T/w7/Cv8G/wD+/P77/vv+9v7q/tv+zv7G/sP+xP7B/rX+p/6i/qX+of6P/nX+Y/5f/l/+W/5T/kr+Pv4u/h3+Dv4C/fX96f3k/eT94/3c/dH9yP3C/b39uP21/bT9tP23/b39wv3C/b79uP25/cD9yP3M/c790f3X/dz94P3k/en97f3u/e798/39/gT+CP4N/hn+K/48/kf+Tf5X/mT+dP6D/pL+o/61/sT+z/7a/uf++P8J/xj/J/82/0f/Wf9s/4L/mP+r/7v/z//qAAwAMgBYAHwAnwDFAO8BHAFGAW4BmwHPAgUCNwJpAqIC5gMwA3gDvQQFBFEEngThBRUFOwVkBZsF1gYDBhsGKAY4BkgGSQY2BgwFyQVrBP4EnwR0BJkFHgX3BwEIFAkmCkULeAyfDZUOUQ7yD5oQUhD+EXMRlhF5EVsRaRGQEZwRiBGFEawRzRGqEU0Q6RB6D7kOiw1EDEgLnwr3CioJawj6CNUIygi+CLkIvgjACLgIrQifCIcIZwhXCFcIRgf9B4kHFga2BlIF0QVCBM8EhgRSBBcDygNwAw8CsQJZAgcBrgFNAO8AowBrADoABP/G/4L/P/8J/uP+xf6i/nz+W/45/gX9vf2A/Wj9YP03/NX8VPvg+4z7U/st+xX7CPsF+wv7G/sq+yn7Dfrc+qT6e/pv+nn6g/p9+nX6jfrI+wz7Pvtc+2v7aPtW+1H7cvus+9P70Pu7+8L78vw3/G38e/xm/FX8dfy5/Nv8nfwe+8T70vwl/GT8Yvw7/CT8MPxQ/G/8gvyF/IL8hfyR/KH8r/y//Nb87/0D/RL9I/04/Un9UP1S/Vj9Zf1z/X79hv2L/Yr9hP17/XH9ZP1V/Uf9P/08/TT9Jv0Z/RX9G/0f/Rv9Fv0W/R39J/02/Uv9Zf2A/Z79wv3w/iD+UP6B/rX+5/8P/y3/R/9l/4T/of+8/9wAAgAuAF8AkgDEAPMBIAFMAXQBmQG5AdkB+gIbAjwCWwJzAoUCmgK8AusDGAM3A08DZwOAA5EDmQOkA7kD0QPlA/MEAAQNBBcEHQQoBDkESgRXBGEEcASHBJ8EsAS9BMoE2gTpBPQE+QT7BP0E/QT8BP0FAQUKBRIFFQURBQsFCwUSBRwFJQUuBT4FVQVsBX0FigWZBasFuQW/BcMFygXRBeUF4wXiBecF7wX2BfoF/QX/BgAGAwYIBgwGCQYDBf4F/gYBBgYGEAYgBjIGRAZWBmgGeAaBBoMGhQaIBowGjAaKBpAGngauBrkGwgbSBugHAQchB2EHzAhDCIsIjAhuCHEIpwjvCSQJSglxCZUJnwmKCW0JVwlDCR8I6givCHYIQQgQB+gHxgekB38HWQc6ByIHDwb7BuMGxAahBn8GYwZHBiAF5QWXBUAE9ATABKMEjwR3BFgEOgQhBAoD7gPHA5IDWQMpAwwDAAL4AvMC9QL/AwQC5wKVAhEBdgDtAJYAcABgAE0ANwAxAEwAfgCxANYA6wDzAPAA3gC2AG4AB/+K/wP+cv3P/SL8jvwy/BL8Fvwe/Bn8A/vg+777q/ur+637o/uZ+7H78fw1/EX8C/ul+0L7A/ro+uP63PrA+ov6Ufol+gT50vmE+T/5PPmO+f36P/o/+jL6WPqz+w37M/sz+z77bfut+9r76/vs++b73Pve/Aj8avzm/UX9Y/1S/UL9SP1I/Rz8vfxM++T7e/r/+nb6Afm8+aL5mfmM+X75efl++Yf5jvmP+Yz5hfl8+Xr5hPmQ+ZP5ifmA+YP5ifl8+Vv5NvkZ+P343fi++Kr4m/iX+MT5Qfnr+lz6S/nU+Vf5F/kN+RD5C/j8+OH4uviU+Hr4ZfhJ+Cj4Dvf89+X3yfev96H3lfeB92X3TPc39yH3B/br9sv2pPZ39kz2JvX89cX1gPU09Or0pfRi9B/z3fOh82vzOfME8svykfJY8iDx5vGp8WvxLfDy8LvwhvBQ8Bzv7u/G76Hvgu9v72PvUu8x7wPu1u6z7pbufe5i7j/uDO3T7aPth+127WHtPe0N7Nvsq+yC7F/sOewM693rs+uU63nrXOs86xrq+OrX6rfqm+qP6pzqvurg6ujq1uq/6rfqx+rx6zrroOwR7HHspeyR7CXrf+rv6rjqz+ry6vrrAusm603rSuso6yDrR+t765Lrleun69bsGuxq7Ljs3Oyx7Evr9evo7BnsWOyR7Mjs++0b7S3tTe2K7crt8e4C7hruRe5v7ojunO7D7v/vPO9l73jvf++F75Hvre/d8BzwXfCa8NfxF/FY8Zjx2fIa8ljyjvK/8vDzIvNU84jzwfQB9EX0i/TO9Qz1SPWF9cT2A/ZA9nv2ufb69zn3dve5+AX4UfiR+Mj5BflP+Zr52PoO+ln6yvtR+8f8C/wh/Cb8N/xZ/H38lfyn/MP89f03/X79xv4M/kn+d/6p/wf/qgB9AVAB/QKKAwYDcgPBA/cELwR/BN4FNgWFBdgGMQaABr4G9wc9B5AH4QgpCHIIvAj7CSgJTAlyCZoJvwnqCiwKhQrlCz0LlQv1DEsMbQxBC98LhwtvC6EL/QxcDKUM1wz2DQcNDQ0RDR0NOg1oDZ0N0g4EDjAOTA5UDlsOgQ7SDzYPkA/aEB0QWxCJEKgQxhDxER4RPhFWEXcRpxHeEhgSWBKdEuITJBNmE6ETxRPME8oT1BPqE/4UDxQsFFwUmBTTFRAVURWMFb0V7xYvFnsWxRcJF1MXnxfWF+QX0Re7F6sXkhdcFw4Wyxa5FtsXGRdQF3AXfReLF6cX1xgPGDoYRxg9GDMYNRhAGEYYRBg5GCQYARfYF7YXoheeF6UXqRedF4cXgxekF9kX9xfrF8UXoheGF28XZBdfF0cXEBbhFuwXJBdCFxwW2hbBFt0W/xb8FtgWpRZ1FmAWgxbZFyYXNBcMFukW8RcWFzcXSRdXF2UXbxdzF3YXgReRF5kXkRd8F1IW+BZWFZwVThXiF0EYwhm3GgIZ+xn4GgYaDRoIGgEZ9RnfGcgZvBmwGZEZZBk/GScZCxjnGMgYtBiYGGUYKhgBF+oXzhehF20XPRcLFtkWtxa3FsgWxBaRFjkV3RWWFWUVMhTlFHwUDRO5E5ATjhOjE7wTxROyE4QTTBMfEwUS+xL1EuwS3hLTEs4SyxK9EqASgxJ7EoQSgxJkEjQR+hF+EE4OOQu5Cc0JNgnRCsoLXQtnCzcLDQrvCssKowp4Cj0J5Ql9CR4IzQh3CBUHswdgBxoG4AavBoYGXwY1Bg4F6QW+BYYFSAURBOgE0wTTBOUE8wTnBMMEoQSSBIgEbwRCBBID7wPeA9EDvQObA3ADSAMqAxMC/gLrAtsCzAK6AqgCnAKVAo4CgQJsAlACLQILAfAB3wHTAckBwQG3AaABfgFgAVEBTgFKAUYBSQFVAWUBcAFyAWkBYwGAAdMCPAJoAhwBcAC/AFEAIQAA/87/kv9k/0f/Lf8I/t/+xf67/q/+j/5e/jX+IP4b/hn+F/4T/gj98/3c/cz9uv2X/WX9PP0q/SH9EPz1/N380vzR/NP81vzU/Mv8uvyn/JH8d/xc/EP8L/wc/Aj79vvn+9n7yPu7+7T7s/ux+6v7pvui+6H7ovum+6j7p/um+6v7tfu8+777v/vF+8370/vW+9z75Pvq++377/v1/AD8Dvwd/Cj8MPw6/Ej8V/xg/Gb8b/yA/JT8pfy1/Mb81/zk/O78/f0R/SX9Nf1D/VL9Yf1t/Xv9jP2e/av9tf3C/dP95v32/gX+Ff4k/jH+Pv5O/mD+b/5+/ov+mP6k/q/+vf7L/tb+3f7n/vX/Af8J/w3/Ff8e/yb/Kf8r/y7/L/8u/y7/L/8w/y3/KP8l/yP/Hf8V/xD/Dv8L/wT+/v78/vv+9v7r/t7+0/7M/sr+zP7O/sj+vP6r/pn+h/52/m/+cv53/nT+af5c/lL+Rf40/iP+F/4O/gT9+v30/fP98/3s/d/90/3L/cj9x/3F/cP9xP3H/cz90P3Q/cz9xv3E/cj90v3b/eD95P3p/e798v32/fz+A/4G/gj+DP4V/h7+I/4o/jP+Q/5U/l7+Zv5x/n7+i/6V/qL+s/7H/tj+5f7w/v3/C/8b/yv/O/9N/17/b/+B/5T/p/+7/8//5wAFACgASwBwAJMAtADXAQABLwFcAYQBrQHcAhMCSgJ/ArYC9QM8A4cDzwQSBFMEkgTPBQUFMQVYBYQFtwXmBgoGJQY/BlYGYwZlBmEGTgYbBbkFNwS9BH0EoQUwBggG+AfsCPQKHwtPDFENEA2uDmkPWhBdEScRgRF2EVERVRF8EZcRlhGfEdASAxH4EagRRhDrEHEPuQ7fDhoNZgyWC50KrQn4CXwJGwjLCJsIjAiRCJ4IsAi7CKsIhghpCGIIUAgPB6MHNAbTBnAF9wV2BQ8EygSWBF4EFgO8A1QC6wKMAjYB2wF2ARUAxgCJAFIAFv/P/4L/OP8B/uL+yP6e/mj+N/4P/eH9pP1q/Un9M/0I/Lf8Tvvm+4n7PPsF+uX61vrW+uj7Dvs0+0H7K/r/+tX6vfq8+sb6yfq9+rr61vsP+0b7Zvt4+4f7kfuS+5r7v/v0/BT8Cvvr+9379Pwn/Fv8dvxw/GL8efy4/PH87/y+/Jz8rfzK/LT8ZvwZ/Az8S/ys/PX9Avzd/Kn8i/yP/KP8uPzO/Oj9A/0Y/Sn9Of1L/Vf9XP1g/Wr9eP2E/Y79l/2f/aD9mf2M/YD9dP1n/Vn9Tf1F/Tz9L/0i/R79IP0i/SD9Hf0d/SL9K/04/U79aP2B/Zn9t/3f/g7+QP51/q3+4f8J/yb/Qf9d/3n/kv+t/8//+AAlAFYAigC+AO4BHAFIAXEBlQG2AdcB+AIZAjgCVwJzAosCoQK/AucDEAMtA0ADUwNqA4ADkQOgA7QDyQPbA+kD9gQGBBUEIwQwBEEEVQRpBHoEigScBLEExQTWBOIE7QT3BP0E/wT8BPkE+QT6BPwE/wUCBQUFBQUFBQUFCQUQBRkFIgUuBUEFWgV0BYgFmAWrBb8FzgXUBdYF2wXiBfgF+gX5BfsGAAYFBggGCwYNBhAGEwYYBhoGFwYRBg0GEAYXBiEGLQY9BlEGZgZ6BowGnAanBq8GtQa4BrcGsgatBq4Gtga+BsUGzwbjBwAHGgcxB1sHrwgbCGsIgAh3CIoIzgkgCVkJewmdCcEJ1QnMCbMJlwl1CUAI/Ai3CHgIQAgOB+cHygewB5UHeQdiB04HPgcwBxwG/gbYBrQGmAZ8BlIGEQW/BWcFGQTjBMMEsASYBHgEVgQ7BCYEDQPnA7ADcgNCAzEDPANIAz0DHQL1AsoCiQIoAbYBUgERAPEA3ADBAJwAewBvAIMArwDgAQUBGQEkAS8BOAEsAPgAmwAq/7P/LP6B/br9BvyZ/Hf8dvxt/E78KPwI+/D74/vf+9v70fvP++78Mfxy/ID8RfvY+2b7Efrj+s/6wvqr+oT6WPo3+iL6B/nX+aX5nvnc+j36f/p/+mf6e/rQ+zb7c/uE+477r/vh/BL8Ovxa/HL8fvyQ/MX9JP2N/c/91f23/Z39mf2S/WX9CPyN/AX7dfrg+lv6APna+dL5zPm8+an5ovmo+bT5u/m5+bH5qPmi+aT5rvm5+b35t/mw+bD5r/me+Xz5WvlD+TP5H/kJ+Pf44fjN+Nr5Mfm++i76NPnZ+XL5QvlJ+Vv5XPlI+Sn5B/jp+NL4u/ie+ID4avhb+EX4KfgS+Af3//fu99P3uPeh94n3b/dS9zH3CPbb9rH2ivZe9iP13/WX9VP1D/TK9IT0QvQJ89bzpPNu8zTy+/LF8o3yUvIU8dbxmvFg8Sfw7PCz8H/wVPAx8BPv+u/m79Pvt++O72DvNu8T7vPu2O6+7pvuZ+4s7f3t4+3T7bntj+1d7Svs/uzW7LHsi+xg7DXsDuvs68vrqOuG62TrQusg6wLq7+rw6wnrLetE6zfrD+ro6tzq8Osj63Pr3+xW7L3s7+zP7FTrquse6uvq/usd6ynrOutj64TrdetG6zTrWOuL66LrqOvE7AbsWeye7MDsrexm7BDr5uv+7Drsb+yW7L/s6+0M7SPtR+2B7bvt2+3n7fvuJe5R7m7uhO6n7tvvFO9B71/vb+91733vke+67/TwNfB28LXw8/Ey8XPxtfH28jHyaPKd8tDzA/M082jzofPd9Br0WPSZ9Nr1GfVV9Y/1yPYA9jn2ePa99wT3SPeN99f4Ifhg+Jb4z/kU+Vr5kfnB+gT6avrk+0/7k/u2+8376PwJ/Cz8Ufx8/LL88v00/XL9qv3i/h7+Y/64/zL/2ACdAVgB7wJlAssDIwNlA5UDzAQcBHsE0gUbBWIFrwX4BjoGggbWBy8HfAe9B/4IRAiFCLcI4gkJCSsJSglzCbcKEQpuCsYLJAuIC9YL5AurC1QLGwsmC3AL2Qw9DIcMsgzHDNAM0gzSDNYM6g0RDUMNeQ2uDd8OBQ4bDi8OWQ6gDvMPPA95D7UP7RAYEDcQYRCeEOEREREvEUwReBGxEe4SLhJtEqgS5BMmE2YTjxOXE5MTmROqE7kTxBPfFBQUWRSdFNoVERVBFW4VqBX3FlAWoBbkFykXcBekF68XmBd/F3YXcBdPFwoWuRaKFpQWyBcEFywXPxdNF2gXlBfFF+YX7xfoF+YX6xfsF+EX0hfHF78XrxeUF3gXZBddF2QXbRduF2YXaReGF64XvxeuF5AXeBdkF08XPxcuFwUWwhacFscXKBdaFyQWwRaUFrkW8xcJFvIWwRaHFl4WaBasFwEXNRdFF1AXYRdmF1YXSRdWF3EXehdvF2cXdheQF5kXiRdvF1AXBBZmFZ0VNxW3Fw0Yhxl2Gb4ZxRnhGg0aIRoWGgUZ+BnlGcwZuhmuGZYZcRlPGTcZHRj5GNQYuhihGHkYRRgXF/QXzhehF3MXShcdFukWuRadFpgWmBaIFlkWDxW3FWMVFxTLFHIUERO8E4YTdROGE6kTwxO+E5kTZhM7EyITFxMREwsTBBL+EvwS+hLtEtEStRKsErASoxJ8Ek4SExF6EBANxgtDCYsJMQnoCtwLbQuEC14LKgrxCrwKmAp+ClAJ/QmVCTcI5giTCDIHzQdwByMG5AaxBoQGWAYvBgsF5gW6BYgFWwU2BRYFBAUNBS0FQAUnBOgErgSSBIgEcgRJBB4D/QPjA8gDqAOCA1sDOgMlAxYDBgL1AuMC1ALEArYCqwKiApICewJhAkgCKgIFAeIBzwHRAdsB2QG/AZUBbAFRAUMBOQEtASQBIgElAS4BPgFQAVQBUgFuAckCQwKEAkYBnQDnAG8ANQAI/8X/ef9E/yv/Gf71/sT+nf6P/or+ef5W/i/+EP36/ev94/3a/cb9rf2k/bD9s/2P/Uz9Gv0V/SX9H/z5/M/8ufy3/Lr8uvy5/LX8rPyc/Ij8cvxd/Er8Ofwm/BP8Afvy++T71PvH+777uPux+6n7ofud+5v7nfuf+6H7oPuh+6j7tPu8+777wPvE+8v70PvT+9f72/vf++D74fvk++77/vwO/Br8H/wm/DT8RPxN/FP8XPxt/IH8kvyj/Lf8y/zY/OP89P0K/SD9MP1A/VL9Yv1t/Xj9if2d/az9uP3E/db96v37/gr+Gf4o/jb+RP5U/mT+dP6C/pL+of6u/rn+xv7T/t3+5P7t/vr/Bf8M/xH/Gv8k/yr/Lf8v/zH/Mf8w/zH/NP80/y//K/8q/yj/IP8X/xL/Ev8P/wf+/v76/vj+8v7o/uD+2v7U/s3+yv7I/sT+u/6s/pr+iv6A/oD+hf6E/nn+af5d/lX+Sv47/i3+Iv4Z/g/+A/38/fr9+v30/ej93f3X/dn92/3a/db90/3V/df92f3Z/dn91/3V/dn94v3t/fT99/38/gH+Bf4I/gz+Ff4f/iX+Kv4w/jj+P/5G/lH+YP5t/nj+gf6N/pn+o/6r/rb+xv7Z/uv++/8J/xX/If8s/zr/TP9f/3L/gv+S/6P/tf/I/+D//QAeAD4AXwCCAKcAyQDpAQ0BOgFqAZUBvAHnAhsCVQKPAskDBQNGA4sD0QQRBEcEdgSnBN8FFwVLBXkFpQXOBfUGGgY+BlwGbwZ7BosGnAaaBm4GEAWTBR4E4gUBBXgGKQb8B/AJCQooCxsLzgxrDTkOWQ+jELsRVhFxEVMRSRFkEXwRdxFxEZERxRHQEZERJRC9EGQQCQ+dDxoOcw2cDKwLzQsPCloJnwjzCIEIUghUCHEInQjCCMcIqgiLCH4Ibgg5B9kHaAb4BocGFQWtBVwFHQTgBJ0EUgP9A5gDLgLMAnICEwGsAUYA8ACoAGcAJP/a/4r/O/8A/t3+v/6M/kb+BP3S/aL9a/04/Rj9A/zj/Kr8XPv/+5f7Mvrl+rn6qPqv+tP7EPtL+2L7Uvsy+xz7GPsb+xr7D/sD+wf7JvtW+377lfuo+7v7yPvI+8z75fwO/Cn8J/wS/AL8BPwa/ED8Zfx4/H/8k/zB/Pf9G/0v/Uj9X/1G/OD8Tfvj++f8Wfz2/WP9bP0g/MD8ifyJ/Kb8xfzf/Pn9E/0p/Tv9TP1c/WX9av1x/X79jP2X/aD9qf2y/bX9rv2g/ZL9hv17/W39Xv1Q/UT9OP0s/ST9If0f/R/9IP0k/Sz9NP1C/Vb9b/2G/Zz9tf3Y/gT+Nf5r/qX+2/8F/yX/Qf9b/3P/iv+k/8f/8QAdAEwAfgCxAOABDQE6AWUBigGrAcwB7wIQAi8CTgJuAosCowK8At0DAAMdAy4DPQNTA28DiwOkA7kDzQPeA+sD+AQIBB0EMQRBBFAEYwR6BJAEoQSuBL4E0gTmBPME+QT9BP8E/gT6BPcE9gT5BPsE/AT7BPoE/AUBBQgFDgUTBRoFIwUxBUUFXwV7BZUFqgW9Bc8F2wXgBeEF5gXwBg4GFwYaBhsGGwYbBhsGHAYdBiAGIgYlBicGJgYkBiQGKQYzBj4GSwZbBm8GhQacBq8GvAbIBtMG3AbfBt0G2AbUBtAGzgbOBtUG5Qb/BxsHLwc6B1QHmAf+CFkIhQiSCLAI9wlJCYEJngm6CeAJ/An+CecJwwmPCUgI+giwCHEIOggKB+QHywe5B6kHmweOB34HbQdfB1EHOQcZBvkG3ga/BowGQAXmBYsFOwUBBOIE0wTBBKEEeQRWBD4EKgQOA+UDsgOLA4EDkgOfA4gDSQL3AqICSAHoAZYBaAFeAVsBRQEbAO4AzwDIANgA9wEZATUBSgFfAXsBkwGTAWgBGwDFAHAAAv9Z/nz9qv0m/Pb86PzK/JX8YvxB/C38HvwR/Ar8CvwW/DX8Y/yG/H38PPvU+2v7Gfrn+sn6svqa+n36YvpP+kX6PPol+gb5/vou+of6zfrT+rD6qvrm+0X7j/ux+8P74fwP/En8jfzV/RD9Nf1T/Yb91f4j/k3+R/4n/gf98P3U/Z79Qfy6/BX7ZPrG+lT6GvoJ+gb5+/no+df50vnY+eL55vni+dn50/nS+db53fnl+ev56vnk+d350Pm3+Zb5evlt+Wf5Yflf+Wn5c/lt+V/5a/mh+d757fnE+Y/5efmF+ZT5j/l5+V/5S/k++TL5G/j6+Nj4wPiu+Jb4ePhh+Fr4XPha+E34N/ga9/v32/e795f3bfdA9xb27fa+9oT2RPYD9cL1ffU19O/0r/R49Eb0EvPX85rzYPMp8vPyuPJ78kHyCfHQ8ZLxUPEU8OLwvfCg8IfwcPBZ8DvwFe/q78Dvmu9070/vL+8T7u7uue5+7lLuPe4s7g3t3u2q7X3tVe0w7Qrs4ey27IzsZOw+7Bbr7+vL66vrjOtt61TrS+tX63HriuuN62zrNesI6v7rHOtb67TsJeyh7QntNO0F7H7r0utN6x3rL+tL61rrceuZ67PrnOto61Prc+ui67rryOvz7EPsley/7LHseOww6/zr/Owp7F/sg+yb7Lvs4+0D7RvtP+127artxu3P7eDuBO4u7k3uY+6A7q3u5e8Z70DvVe9f72rvgO+m79rwF/BX8Jjw1vET8VLxkvHQ8gnyP/J38q/y5vMa81DziPO/8/P0KPRk9KX05fUg9VX1iPW79fH2MvZ+9tD3Hvdo97L3+fg4+G74o/jf+R75Uvl/+bn6Efp8+tv7HvtL+3P7mvvA++f8FvxS/Jb82/0e/V39lP3J/gr+Zf7f/3QAHQDKAWQB3AI5AowC2gMbA08DhwPUBC4EggTHBQYFRwWKBdAGIAZ8BtQHGQdPB4MHuwfwCCAIUgiHCLoI6AkfCWgJtwoCCkwKpgsGC0QLQQsKCtMKxwrxC0ILowwADEkMdAyEDIkMigyJDIkMlAyxDOANFw1ODYINsA3VDfoOLA5rDq0O5Q8YD0wPfw+pD9AQBxBTEKEQ2hD+ESIRURGJEcER9xIqEl4SmRLgEyYTVRNlE2cTbhN7E4ETgxOYE80UGRRlFKUU2RUHFTcVdhXLFikWfhbEFwQXQRdvF3sXZxdOF0gXThdDFxEWxBaDFnIWjRa4FtcW5RbyFw0XNRddF3MXdBdvF28Xdhd0F2cXWRdVF1UXTxc/FywXHRcYFx8XMxdKF1sXbReGF5sXmheEF2oXVhc+Fx8XAxboFrcWdBZaFqAXHBdYFxgWoxZtFpUW2Rb3FuoWyBaaFmwWYBaNFuEXNheCF8YX7hfbF5cXWxdUF3EXfxdvF18XbheNF5gXhRdrF1IXERZ0FZgVCxVbFocX7RjiGUsZgxnPGhcaLBoTGfoZ9BnsGdYZvBmqGZgZfBlfGUgZLxkIGNsYtxidGIAYWRgqF/sXzBehF30XWxcvFu8WqRZyFlkWWBZbFkQWAxWeFTAU0hSFFD4T+BO5E4sTcxN6E5sTwRPQE7kTjBNhE0QTNhMwEy4TLhMrEycTHxMPEvgS6BLkEt4SvRKEEkUR6xEWD2oNEArPCYIJcAogCuELUwt+C38LWgsSCskKoAqPCmwKIAm7CVwJBgisCEQH1wd0ByQG5gawBnwGSgYgBf4F2wWzBZAFegVnBUsFMgU1BVMFYwU9BO8EqQSJBH4EbARNBC0EDgPsA8UDngN5A1QDMwMbAxADCgMCAvYC5wLWAsUCtgKoApECcgJTAjsCIwH/AdYBvgHHAeAB5gHIAZYBbwFfAVkBSQEyAR4BEgEMAQwBGAEpASoBGgEdAVsBwQIBAdoBWADHAGMAKv/y/6L/S/8Q/vn+8f7b/rL+h/5t/mD+U/4//iX+B/3p/dL9xf22/Zb9cv1s/Yn9nv1+/TT9AP0H/Sr9L/0H/NP8tfyq/KP8m/yZ/Jz8mvyM/Hf8YvxT/Ef8O/wt/B38C/v6++r72vvN+8P7ufuv+6f7ofue+537nfue+537nPuf+6f7svu6+737wPvG+8370vvU+9f72fvc+9373vvg++b78/wD/A/8FPwb/Cn8OvxE/En8Ufxg/HH8g/yX/K/8xfzT/N387f0D/Rj9Kf06/U79YP1r/XX9hP2X/aj9tv3F/dj96/37/gn+GP4o/jj+R/5W/mX+c/6D/pT+pP6x/r3+yf7W/uD+6v71/wD/Cf8P/xX/Hv8o/y7/Mf80/zX/NP8z/zb/Of84/zP/Lv8t/yv/JP8c/xn/GP8U/wr/Af77/vb+7v7n/uP+4P7b/tL+yP6//rf+sf6r/qX+nv6Y/pP+jf6C/nP+Zv5e/lj+T/5D/jj+Lf4h/hT+Cf4B/f79/v36/fL96v3p/e798/3w/ef94f3g/eH94f3k/ej97P3t/fL9/P4I/g7+D/4T/hv+IP4f/iD+KP42/kD+Rf5J/k/+V/5g/m3+e/6J/pX+n/6q/rT+vv7H/tP+4f7w/v7/Df8d/yv/Nv9A/03/Xv9w/4L/k/+m/7r/z//j//sAFwA2AFMAcACSALgA3AD7ARsBRAFzAZ8BxwHwAiACWQKVAtEDDgNKA4gDyQQHBDgEXgSDBLUE9AU1BW0FmwXCBecGDAY0BlkGdgaLBqIGvwbaBuQGzAaFBhQFlwVABToFjQYuBxAIHAksChAKvAthDEQNgw72EEMRGhFlEVgRQRFGEVURTxE+EUkRdxGYEXYRDhCSEC4P6w+qD0YOqQ3lDSQMgAvhCxQKFAkcCHEIKQgkCEIIcAicCK0InwiKCIMIfwheCBIHpAclBqUGNQXjBaoFdAUvBOAEkQQ/A+EDeQMVArYCUwHpAYABIADLAHsALv/i/5H/Qf8A/tX+rf5z/ib93P2d/WP9KPz6/Ob84fzU/LL8dvwe+6n7MPrS+qD6lPqn+tv7KPtt+4z7hPt0+3L7eft3+2b7TvtB+0b7Xft8+5r7t/vW++778fvi+9X73fv1/Av8E/wU/BH8C/wL/B/8Sfx6/KH8wfzk/Qz9Of1t/aH9sv12/Oj8PPvL+9H8S/zw/WT9bP0b/Ln8h/yS/Lf82Pzv/QT9HP0x/Ub9W/1v/Xv9gv2K/Zf9pP2v/bb9vf3F/cj9w/21/aX9mP2M/X/9bf1c/U/9Q/02/Sn9IP0c/Rv9H/0m/TD9O/1H/Vn9cP2I/Z79uP3Z/gD+Lf5f/pb+zP77/yD/Pv9a/3H/iP+k/8f/7gAWAEEAcQChAM8A+wEpAVUBfQGeAcAB5AIHAicCRQJlAoMCnAKzAs8C8gMRAycDNwNOA3EDlwO5A9ID5AP0BAEECwQYBCsEQARTBGEEcQSIBKEEswS+BMoE3ATtBPcE+QT4BPgE+AT1BPIE8QTzBPYE+AT5BPoE/QUEBQ0FFAUZBSAFLAU9BVEFagWHBaQFuwXMBdkF4QXlBekF8gYABioGNQY6BjkGNgYyBi8GLgYvBjIGNAY3BjoGPAY+BkEGRgZOBloGaAZ3BokGnwa3BssG2QblBvEG+wb/Bv8HAAcABvsG8QbsBvYHCwcgBy4HMwc5B1QHmggICHMIswjLCOQJGQlaCYoJpgnHCfQKGAofCgcJ1wmWCUcI9giuCHMIPggSB/MH3wfRB8cHwQe5B6wHmgeMB4AHcQdbB0MHKgcEBsUGbwYSBbcFZQUmBQUE/QTzBNQEpQR5BF0ETAQ9BCcECgPvA+QD6gPqA8kDfwMfAroCWQICAccBsgG1AbEBlQFqAUYBNQE1AT8BTgFdAWwBgAGcAbwB0QHHAZsBXAEkAPEAngAA/yH+Qv2t/Wv9S/0Z/Nb8nvyA/G78WfxC/Dr8Rvxi/IL8mPyT/Gf8GPu6+2X7J/r7+tb6s/qV+oP6efp1+nT6dvpy+mX6YvqK+tr7JPs0+xD68vsM+1H7l/vE++H8Avwv/HH80P0//aD93P4C/i3+Z/6d/rr+uP6g/nX+O/36/bL9VvzP/B37X/rF+m36TfpG+jv6KfoX+gz6CfoL+g/6EvoR+g/6DvoR+hX6GPoc+iD6IfoY+gb56/nJ+an5mPmc+aj5s/nE+ev6H/pB+jj6E/nz+ej55fnc+c/5yfnI+cL5svme+ZD5jPmQ+Y/5f/le+Tj5GvkE+Oz40Pi5+LL4uvjG+Mj4tviT+Gn4Qfge9/r30fel93n3Tfcb9uT2rPZy9jP17fWk9WD1IfTp9LP0efQ68/nzvfOI81XzH/Lm8rDye/I/8frxs/F48UzxLPEQ8Pbw3PC/8Jrwb/BE8B3v+O/O76Pvfu9e7zfvAe7K7qTuk+6C7l/uLO357c/trO2J7WPtOO0L7N7stOyL7GHsN+wU6/fr2+vB67HrsuvB69Lr1eu/65DrVust6yvrVOue7AHsd+zw7U3tZ+0m7Jfr8+t861XrZut/643rouvF69frveuL63brk+u/69zr9+ww7ITsx+zP7J7sWOwi7BLsLOxc7ITsl+yl7L/s4+0D7R3tQe1z7aPtuu2+7cbt4u4K7i3uRO5b7oDutu7w7x7vN+9G71nvee+i79DwA/A/8IDwvvD58TXxc/Gv8ebyG/JT8o7yx/L+8zTza/Og89L0BPQ79Hf0tPTs9R71T/V/9bT19PZC9pj27vc+94r30fgO+D34Z/iY+NH5CPk6+XT5xvoq+of6y/r7+yP7Rvtj+4H7r/vx/EH8kvzj/TL9e/3A/hH+f/8M/6gAQgDQAUoBrQIAAlACogLvAzADbgO0BAEESQSGBL8E+AU3BX0FzgYkBnEGrAbbBwsHOwdmB48HwAf9CEEIiAjVCSQJZwmZCdAKIAp4CqoKogp8CmwKigrHCw8LXAutC/UMIgwxDDMMNQw3DDQMNAxFDG8MqAzkDRoNTQ1/DbUN7w4rDmEOkA6/DvAPIg9PD34PvBAIEFAQhxC1EOgRIRFWEX8RoxHMEgISRhKWEuITFxMvEzsTSRNTE1ATShNZE40T2BQjFGUUoBTZFRUVWRWrFgcWYBatFuwXIBdFF1EXRRctFyIXKBctFxYW3RafFnwWfRaOFpkWnBakFrwW3Rb7FwgXBhcAFv4W/xb/Fv0XARcLFw4XAhbwFuIW2hbWFt0W9RccF0YXaheCF4oXexdgF0gXMhcSFukWxhaoFnUWMxYjFncW+xcyFuQWZRYyFmIWqBbDFrkWphaMFmoWWRZ1FrkXERd3F+YYMxgnF8cXYRdAF10Xehd2F2cXbxeKF5QXghdnF08XExZ2FYkUzRTbFc8XJRg7GOAZUxnFGhoaJhn/GeIZ6BnwGeEZxBmtGZkZfhlgGUgZMRkOGOIYuBiaGH8YXRgwF/wXyheiF4UXaBc5FvMWpRZmFkEWMRYmFggVyBVmFPcUjxQ2E+8TvROiE5MTiROJE50TxBPgE9sTthOGE2MTURNNE1ETVhNWE1ATQxMxEyATGBMaEw8S5RKeEkARpBByDoUMRgqFCdQKEgqhCwULOAtmC4wLfws2CuQKuwqvCpAKRAneCXkJGgi0CEIHzwdtByIG6AaxBnYGPgYRBe0FyAWhBYkFgwV8BV4FNwUpBToFQAUXBM8ElQR+BHUEZQRPBDkEHwP6A9MDtAOaA3QDRAMbAwgDBwMJAwcC/ALpAtACtwKgAoUCYQI9AiUCEQHyAccBpwGqAcMBzAGvAX8BYQFiAWwBZAFIASgBCwDxAN0A2wDkAOAAyAC0AMoBAwEsARcAyABuACv/+v/C/3f/Kv7y/tn+0v7G/qr+gf5Z/jj+If4S/gb99P3c/cf9u/2p/YD9Tv08/Vf9df1i/SP88/z5/Rn9H/z8/M78sfyh/I78fPx2/Hv8ffxx/F78TvxE/Dz8Nfwt/CL8Evv9++n72PvN+8T7uvux+6n7pPuh+5/7nvud+5z7nPug+6f7sPu1+7f7u/vD+8v70fvW+9n73Pvf++P75fvm++j78Pv9/An8Evwb/Cr8O/xG/Ez8Uvxe/G38fvyU/K38w/zQ/Nr86vz//RT9JP01/Un9XP1q/Xb9hP2W/ab9tv3H/dn96v34/gb+Ff4m/jb+Rv5V/mP+cf6A/pH+of6v/rr+x/7V/uH+7f76/wb/Df8Q/xb/IP8p/zD/Nf84/zj/Nv81/zn/Pv89/zf/Mv8x/y//Kf8j/yD/H/8Z/w//B/8A/vn+8P7o/uT+4/7e/tb+zP7B/rf+sP6t/qv+qP6h/pX+h/56/nD+av5l/lz+Uv5J/kH+OP4q/hv+Ef4M/gn+B/4F/gH9/P39/gL+Bf3//fT97f3s/e798P31/f3+A/4G/gz+Gf4n/iv+Kf4r/jX+Pf48/jn+P/5M/lj+Xf5g/mX+bf53/oP+k/6j/rH+vP7G/s7+1/7j/vL/AP8L/xX/If8w/z3/SP9T/2H/c/+E/5X/p/+9/9f/8AAHAB0ANgBSAGwAhwClAMkA7QEOAS0BUgF7AaYB0QH9Ai4CYgKXAtADDQNKA4UDvwP4BCoEUgR3BKUE4AUhBVwFjwW4BdwF/gYkBk0GdQaXBrQGzwbvBxQHMgcvBu4GcAXbBWoFTAWWBkQHPAhGCSsJ4wqdC5gM7A5vD9UQ1RFNEVcRNxEoETMROhEwES8RTxF6EXkRLxC2ED8P5A+PDxsOeg3HDS0MswwoC1EKNQkfCGYIHAgbCDQIUghtCHgIbwhiCGEIZghXCCMHxgdNBswGYAYYBewFvQV5BScE1gSEBCgDxANfAvsCkwImAbwBWAD1AJIAM//d/4n/N/7y/r/+kP5U/gr9wv2A/Tz8+vzN/MT8z/zT/MD8j/w5+8H7QPre+q76q/rI+wL7UPuY+777xvvH+9D71/vI+6b7hftz+3H7evuJ+6L7yfvz/Ar8Avvj+8n7wfvH+9D73vvx/AD8Afv9/Ar8N/x5/Lr88P0b/UT9c/2l/cT9rv1P/Lr8JvvN+9L8K/yn/QD9DPzZ/KH8lPyx/Nf88P0B/RT9K/1B/Vj9cP2I/Zj9ov2q/bP9vv3J/dD91P3W/db90v3J/br9q/2c/Y39e/1q/Vv9Tf09/S39IP0a/Rj9Gv0f/Sf9Mv09/U39Yv17/ZX9s/3V/fv+JP5Q/oH+tf7m/xD/Mv9Q/2v/h/+n/8n/7QARADkAZgCVAMIA7wEdAUsBdAGXAboB4QIHAicCQgJeAnoCkgKoAsQC5gMJAyQDOwNXA34DqwPRA+wEAAQRBB8EKAQvBDsETgRiBHIEgQSVBK0EwATMBNYE4wTuBPIE8ATuBO4E7gTtBOsE6QTpBOwE8QT4BPwE/gUDBQsFFAUdBSgFOAVLBWAFeAWVBbIFygXaBeUF7gX2Bf8GCwYaBkUGSwZNBksGRgZBBj4GPgZBBkYGSgZMBk8GVAZZBlwGXwZmBnMGhAaVBqUGuQbSBuoG/QcLBxgHIQckByYHKgcvByoHHgcZByMHNAc7BzcHNAdBB2wHwQg7CLcJBwkhCSYJOAlbCX4JngnJCgAKKwo0ChgJ4wmfCVIJBgjDCIoIWAgyCBsIDwgEB/kH8QfsB+IH1AfGB7sHrQeaB4YHbQdCBv0GpgZNBfYFngVUBS4FKAUmBQsE2QSqBIwEfARyBGgEWgRHBDUEKQQaA/YDtQNfAwQCrQJkAjECFwIHAe4BywGsAZsBlwGZAZ0BowGoAbABvgHXAe4B8QHVAZ0BYAEvAQYAvwAz/2j+mv4L/cL9lP1Y/RP84fzI/LX8mPx9/Hr8lPy8/Nr82fyw/GP8Bfuv+3D7Rfsd+vH6w/qk+pn6m/qd+qH6rPq7+sT6y/rq+y37dPuP+3P7S/tH+237pfvY/AL8JfxN/I/8//2O/g7+XP6E/qb+0P75/xX/H/8N/tL+cP4F/ar9UPzR/CD7ZPrZ+pj6iPqB+m76V/pK+kf6RPpA+j76Q/pK+k76UPpS+lT6VvpV+lX6UvpG+iz6Bfnb+cH5xfnp+hr6RPpl+oz6v/rq+vL6z/qX+mb6TPpD+jv6K/oQ+fP53fnR+c35zfnP+c75wfmm+Yb5bPlc+VD5QPkt+SL5JPkw+TX5Jfj9+Mz4oPh8+Fn4MfgF99j3qfd190L3Evbd9p/2WPYR9dD1k/VV9Rn02/SZ9Ff0GvPn87rzivNX8yPy7PKr8mHyHPHn8cLxo/GB8V7xPPEa8PLwxvCb8HTwTPAf7/Hvx++j73nvR+8X7vju6e7U7q7ueu5I7iDt/+3d7bfti+1a7Sjs/OzT7Kzshexj7EfsMewg7BrsIewr7CjsEOvm67Drf+tk623rnevu7Ffszu087YPtgu0v7KPsEeuy65frqeu868Xr0uvp6/Pr2uuu657ruevn7AzsM+xw7Lrs4+zO7I/sUew07D7sYuyL7Kfssuy57M3s7e0N7SrtTe167aLts+2u7avtv+3q7hbuMu5C7lvui+7J7vzvGu8s70jvce+e78fv8/Ap8Gjwp/Dg8RnxVvGT8czyAvI68nTyrfLi8xTzR/N787Dz5fQc9FP0ivS+9PH1I/VW9Yv1yPYR9mP2ufcM91v3ovfY9/r4Evg1+Gv4qvjn+Sr5gvns+lD6lvrA+t368fr9+wv7Mvt9++L8UPy9/ST9hf3f/j7+r/8z/7kANACjAQsBawHFAiACfwLeAzEDdwO3A/MEKgRaBIkEuwTzBTUFfwXKBgoGPAZuBqYG4AcNBzAHVQeHB8gIGQhzCMgJBAkpCVUJmwnpChQKEAoBChUKUwqcCtsLGAteC6MLzgvZC9YL1wvaC9ULzAvUC/sMOAx6DLQM7A0pDW0NsA3pDhgOQQ5tDp0OzA78DzAPag+nD98QFBBQEJcQ2xELESURPBFlEaYR+RJQEpoSzhLuEwUTGBMgExgTDhMcE04TlRPfFCUUbBS3FQIVShWUFegWRBaaFtwXCBcjFy8XKRcUFv8W/BcHFwgW6xa7FpYWiRaKFooWhxaLFpsWsBbBFsgWxRa/FroWtha3FsIW2hbyFvUW3Ra8FqgWohafFp8WrRbRFwIXMBdNF1MXQRcoFxMW/xbgFroWnRaCFk4WCxYAFl0W4hcMFqoWIxX3FjUWghaZFokWehZtFlsWUxZpFpUWyRcXF44YAhgfF84XWRcjF0EXeBeQF4sXiheTF5MXfBdfF0UXDRZ7FY0UsxSJFUoWlxfSGK4ZRBm8GggaDxnrGdQZ3RnrGeEZyBmyGZ0ZgBlcGT4ZKRkQGO0YxhiiGIAYWhgtF/sXyxekF4cXaBc6FvoWtxaAFlUWLhYIFdsVoBVRFO8UgRQWE78TkhORE6QTrBOkE6cTxBPpE/QT1ROhE3cTZRNpE3MTehN7E3kTcRNjE1ATQxM+EzQTEhLOElIRYg/CDZILfApKCjoKxws1C0ILMwtQC4ILhAtGCwIK5grcCrIKVwnmCXwJFwipCDIHwAdjByAG7Aa3BnoGPgYMBeEFswWFBWoFZwVhBUAFEQT3BPgE8gTPBJ4EfwR3BG8EWwRIBDoEJgQGA+sD4QPaA7oDfAM/AxwDEgMRAw0DAgLuAs8CrQKPAnECTQIoAg4B/gHpAcMBnQGRAZsBngGCAVQBOQFAAVUBWwFLAS0BCQDiALwApwCjAJwAhwBtAGcAdgCAAG4AQwAR/+T/t/+F/07/GP7q/sj+s/6m/pX+dv5L/hz99v3j/d392P3M/b/9t/2n/X39Q/0f/Sj9Qf0+/Rj88/zs/PP86fzK/K38nvyQ/Hv8Zfxc/F38WvxO/EH8O/w3/DP8Lfwp/CL8FPv+++f71/vP+8r7w/u7+7P7q/uk+577mvuY+5j7mvuf+6X7qvus+677s/u6+8L7yfvQ+9f73fvj++j77fvv++/78fv6/Af8E/wf/C78P/xM/FX8Xfxm/HP8gvyX/K38wPzN/Nr86/0A/RP9I/0z/Ub9Wv1r/Xv9i/2b/ar9uv3L/dz96/33/gT+E/4j/jP+Q/5T/mH+b/5//o/+nv6r/rj+x/7V/uD+7P76/wb/Df8Q/xX/Hf8m/y7/NP85/zn/Nv81/zr/Pv8+/zn/Nf80/zL/LP8n/yX/Iv8b/xL/DP8H/v/+9v7t/uj+4v7c/tf+0v7N/sT+uv6y/q3+p/6d/pH+hP57/nb+dP5t/l/+Uv5M/kr+RP42/ij+IP4e/hv+GP4X/hT+EP4N/g7+Dv4I/f79+v38/gH+Bv4M/hP+F/4Y/h/+MP4//kP+P/4//kn+VP5X/lb+W/5l/m7+cv52/n3+hf6O/pr+qf66/sn+1v7f/ub+7f74/wf/GP8m/zH/O/9E/03/Vv9i/3P/h/+b/63/wP/W/+8ACQAfADUATABoAIQAngC6ANoA/QEgAUIBZgGLAbIB3wISAkYCdAKeAs4DCQNJA4UDuAPpBBkESQR4BKoE3wUVBUcFdwWkBcsF7gYTBj4GbwadBsMG3wb7Bx8HTgd1B3UHNAa2BhsFlwVjBagGZAdgCFYJLAoKCygMkQ4bD4UQlhEsEUsRKBEKERIRLBE0ETARPRFiEXkRWRD+EIoQFw+iDxkOdQ3JDTEMpwwDCx0KAwj/CFsIKAg4CFcIaQhuCGYIUwhACDcIMwgkB/wHuAdaBvEGkwZPBiEF8wWzBWcFFgTBBGUEBAOhAzoCywJaAfEBjgEjAKwANv/O/3H/G/7S/pn+Zv4s/ez9r/10/TH87fy//Lb8xvzS/Mj8n/xS++T7bfsQ+ub66fsJ+z/7hPvH+/X8Dvwd/Cr8J/wK+9z7svub+5X7lfue+7X73fwD/BD7/PvX+7n7qfui+6P7tPvV+/b8BvwK/Bv8R/yH/Mz9Cf1C/X39tf3Y/cX9avza/Ez77vvR++f8IPxj/Jb8pfyZ/JP8qfzP/O79AP0R/Sr9Rv1f/XX9jP2i/bL9vf3E/cr90v3c/eX95/3i/d792/3X/cz9vP2q/Zr9if13/Wf9V/1F/TL9JP0d/Rr9F/0X/Rv9I/0t/Tv9T/1o/YX9pf3K/fP+HP5D/m7+nf7O/vn/Hf8//2D/gv+n/8v/7wASADgAYwCQAL4A7QEbAUkBcgGXAb4B5wIOAi4CRwJeAnYCjwKnAsEC3wMAAx0DOQNZA4IDsAPYA/cEDgQlBDcEQgRFBEwEXARzBIcElgSmBLcExwTTBNwE5AToBOcE5QTkBOYE5wTmBOUE5ATjBOUE7QT2BPsE/AT/BQgFFAUhBS4FQAVVBWwFhQWhBb4F2AXrBfoGCQYXBiUGMQY7BloGWwZZBlUGUAZMBkoGTAZQBlYGXAZgBmMGZwZuBnQGdwZ+Bo0Gowa3BscG2gb1BxMHKwc+B0wHVAdVB1MHVwdbB1cHSwdFB0wHVQdSB0sHUgdzB64ICAiACP4JVwlzCWUJVwldCXEJkAm+CfcKIgotChgJ7Qm1CXQJMgj1CL8IkAhtCFwIVghPCEMIOQg0CDAIJggXCAUH7gfVB7wHoQd2BzQG5QaUBj0F2wWCBVIFTQVRBTsFCwTeBMMEtQSoBJwEjwR+BGYESwQwBA4D2wOZA1ADCwLTAqcCgQJVAiUB/gHqAecB6QHpAesB8QH5Af4CBwIVAh0CDQHcAZEBPwD5AMEAewAG/2H+uf5C/gH90/2Z/V39Nf0g/Qf85/zS/N39Av0o/TP9FfzM/GX8APu2+4v7bftI+xb65vrI+sD6wfrB+sb63PsA+x37Kvs9+237rvvW+837p/uP+5z7yfwE/Dj8Wfx0/K79Jv3J/lv+sf7X/vT/HP9H/2r/ef9j/xP+k/4P/af9SfzI/Bf7ZPrs+r/6uvqy+pz6h/qA+oH6fvp1+nT6fPqI+oz6ivqJ+o36jvqJ+oL6e/pu+lD6I/n4+en6BvpQ+rf7Hvtl+3v7aftK+zL7IfsM+vD61Pq/+qf6g/pV+jD6Ivol+ib6F/n9+eX50vnC+bT5rPmt+bT5tvms+Zz5kfmS+ZL5gfla+Sj4+/jX+LP4ivhg+DX4BffR96D3c/dB9wH2u/Z59j32APW/9X31PfT89Ln0ffRM9CPz+PPI85TzWvMV8s3yj/Ji8kDyG/Hu8b/xl/Fy8UvxH/Dz8MfwnPBu8EDwFe/s78Dvk+9t71PvP+8j7vnux+6Z7nLuUO4u7gnt3O2l7W3tPe0Y7Pfs1Oy07JzsjeyG7IjsjeyJ7HDsQ+wL69jrteus68Lr+OxM7LTtJO2B7a3tku007LLsOuvz6+Tr9OwB7ALsBOwQ7BTr/uvc69Tr9ewn7FLseuys7N3s6uzE7IfsXuxY7G3sjuyv7Mfs0OzT7N/s+e0a7TrtWu1+7Zztpe2a7Y7tnu3L7f7uH+4s7jzuZu6k7tzu/u8U7zPvYO+P77nv4/AX8FTwkPDH8P7xO/F78bfx8PIo8mPym/LO8vvzJvNW84zzxPP79C/0YfSU9Mn0/vU09Wz1qfXs9jn2i/bf9y73b/eY96n3sffL+AH4SviV+OT5Rfm2+h36Y/qG+pj6ovql+qv60fsu+7j8UPzb/VX9wP4g/n7+4f9I/60ADABpAMsBMQGWAfsCZALNAy4DfgO9A/AEGQQ9BF8EhgS1BO0FLgVuBaQF0gYGBkwGlgbUBvsHFgc0B2AHoQf0CEcIhgixCN8JHwlgCYMJhwmRCcMKFgpoCqcK4AshC10Lfwt/C3ULdAt4C3ULbAtyC5gL2QweDFsMlgzcDSkNcg2rDdYN+g4gDkcOcA6dDs8PAg8vD1oPkQ/eEDgQhBCvEMEQ1xEKEVsRuhIRElUShBKqEssS5BLpEt0S0RLfEw4TUhOeE+0UQxSeFPUVPxWCFc0WJhaAFsMW6Rb7FwYXCBb5FuAW0xbdFuoW4RbBFqEWkxaUFpkWmhacFqIWqhawFrAWrBaoFqYWpxasFr4W3hb7FvwW1xalFoMWeBZzFmsWaBZ3FpkWwhbhFuoW3xbPFsYWvharFpMWgxZuFjcV8hXuFlsW6xcPFqEWEhXrFjMWgxaVFnoWYxZWFk0WUxZsFoAWghaZFvkXiRfhF78XVxcVFywXdBeqF7oXtRerF5YXdBdRFzcXBxaIFa0UzRR8FQ8WSxedGJkZORmgGd0Z7RngGdYZ2xndGdAZvhmwGaIZhxljGUQZLBkUGPcY1RiwGIgYXRgxGAMX1BeoF4IXXxcyFvsWxBaTFmQWMBX+FdIVpBVjFQMUjRQVE7oTkROaE7cTwROwE6MTuBPlE/4T6BO0E4cTexOIE5kTnxOcE5wToBOaE4UTaRNTE0YTMxL6EmERHQ8SDKYKsAnsClALGAuBC2oLOwtGC24LbwtFCyILHgsPCskKUQnSCWYJBQibCCgHuwdiByIG8gbDBooGTgYYBeYFrgV0BUwFPAUvBRAE5wTMBMMEtgSXBHsEcQRwBGMESQQ3BDAEIQQHA/cEAgQQA/4DxQOFA1oDQAMoAw8C9wLfAr8CmgJ6Al4CPwIcAgAB8wHmAcsBpQGKAYIBfAFgATMBEQEMARgBIQEfARQBBQDrAMoAqwCUAIEAbABWAEcAPQAtABX/9//W/6z/fP9O/yn/Cf7i/rb+kP56/m3+Wv43/gj92/2//bf9t/2z/az9pv2b/Xz9SP0Z/Qf9Df0S/Qf88/zh/M78svyW/If8gfx5/Gv8XvxZ/FL8Qvwv/CX8J/wq/Cf8Ifwd/Bv8Efv/++z73vvY+9X70PvI+7/7tPuo+537lfuR+5H7k/uY+537ofuj+6b7qvuu+7L7uPvC+8772Pvf++b77vvy+/L78fv2/AL8EPwe/Cz8PPxM/Fv8Z/xy/H38jPyd/K78vfzL/Nz88P0E/RX9JP00/Ub9Wv1s/X79kP2g/a/9wP3R/eH97v37/gj+Ff4j/jL+Qv5T/mL+cP6B/pH+n/6s/rr+yf7W/t/+6P71/wL/Cf8N/xL/Gf8i/yn/MP82/zj/Nv82/zn/Pf88/zj/Nv81/zH/K/8l/yL/Hv8X/xH/Df8I/wL++/71/u/+5v7b/tb+1v7W/tD+xv67/rD+p/6e/pb+jf6E/n7+ev5x/mP+V/5U/lb+Uf5E/jj+M/4y/i/+LP4q/ij+Iv4b/hf+Ff4R/gz+DP4R/hf+HP4i/if+Jv4l/iv+Pv5R/lf+Uv5Q/ln+Zv5u/nT+e/6C/ob+if6O/pb+nv6n/rH+v/7P/t3+6/73/v//A/8J/xX/KP88/0v/Vf9a/17/Zf9x/4P/mf+w/8j/3P/vAAAAEwAoADwAVQByAJIAsADNAOsBDQEzAVgBfQGhAcYB8gImAlsChwKqAtEDCANLA4gDuAPeBAYEOARwBKoE3gUJBS8FWAWGBbMF3QYGBjUGaAabBscG7AcMBysHUgeCB64HvAeLBwkGTQWgBVsFsQaEB4YIiAmaCuQMZQ3xD1EQXxEAES8REBDnEOgRCREjESYRKhFFEWYRZhEuEMwQWA/dD1sOzA4rDXkMtAvUCtUJzAjrCGUIRghqCJkIsQiqCIwIZghECCgIDAfkB7IHeAc7BvsGvAaFBlYGJQXpBaAFTwT4BJ0EQgPiA3UC+QJ+AhUBtwFLAMoAQv/I/2D/BP6y/m/+OP4D/c79n/1v/Tf89/zF/LX8vvzL/Mj8rfx0/B37uPtk+zn7OftT+377tfvw/CT8Sfxi/G38Yvw9/Af72Pu++7v7xPvS++j8AfwT/Ar75/u8+5z7j/uP+577wvv1/CP8PfxK/F78hPy3/Oj9Ff1I/Yn9z/3t/bP9F/xX+8v7pPvI/AH8L/xP/Gj8ePyE/Jj8uPzZ/O/9Af0c/T/9YP17/ZL9p/24/cP9zP3V/dr93v3k/ez97v3o/eH93v3d/db9x/21/aX9k/2A/W79X/1O/T39L/0o/ST9If0e/R/9JP0t/Tv9Tv1m/YH9n/3D/e3+F/49/mP+jf65/uL/B/8r/1H/ev+i/8r/8gAXADwAYwCOAL0A7QEbAUgBcQGZAcIB6wISAjICSwJhAngCkQKsAsUC3wL5AxUDMgNTA3oDpwPRA/YEFQQyBEkEVgRaBF4EawSBBJgEqQS1BL8EyQTTBNwE4QTgBNwE2wTeBOIE4gThBOME5gToBOoE8AT4BPwE/QUBBQwFHAUqBTYFRgVdBXcFkwWvBcwF6AX/BhMGJQY2BkUGUAZXBmUGZQZjBmAGWwZXBlYGVwZbBmIGagZwBnQGeQaBBosGkgacBq0GxwbhBvQHCAcjB0EHWgdtB3wHhQeGB4MHgweFB4EHdQdtB3AHdwd7B4cHqQfdCBcIWgi2CSMJfAmeCY4JdAlqCXEJhQmlCdAJ9QoGCgIJ7wnPCaIJbwk+CRAI5gjGCLUIsAisCKUIngibCJUIhQhsCEwIKAgEB+YHygeiB2kHJAbYBn0GEAWsBXYFcgV6BWUFNgUKBPIE5ATSBL4EqwSXBH0EXwRBBCAD9QO+A4MDUAMoAwcC3QKkAmgCQAI1AjoCPAI5AjsCRgJQAlQCVAJUAk0CLwHuAYoBFgCwAGgAL//b/17+2P52/kD+GP3n/bf9mP2E/Wb9Rv1B/WD9iv2Z/Xn9K/y9/Eb75Puv+537kvt1+0j7HfsE+vn68vrt+vX7FPtC+2P7avtv+5L71fwQ/B78APvb+9f8APxE/H/8l/ye/Mr9Q/3w/on+4f8H/yr/X/+a/8b/0P+n/0H+s/4s/cD9Uvy5+/37Vvr4+uL65vrg+s36vPq3+rf6s/qt+q/6uvrE+sP6vvrB+sr6y/q9+qz6ovqY+nv6Tfol+hv6PfqX+zD78fyM/Kz8PPuN+wz66vsF+x77G/sE+ub6v/qU+nv6gPqV+pn6d/o8+gX56Pnl+e/5+/oH+hT6HfoZ+gf58/no+eP51Pmx+YX5Wvkz+Qr44Pi3+I/4Yvgw9//30vef92D3HPbf9qj2bfYq9eb1pfVj9SH05vS29I70Y/Q08//zxPOB8z7zB/Lf8rnyifJR8hzx8fHM8abxe/FN8R7w7/DD8JjwbfBA8BLv6e/J77DvlO9v70LvFe7s7sXuoe5/7lvuLO3w7bDtfu1c7ULtJO0H7PLs6uzs7O/s6uzV7Kvsc+w77BHr/uwG7CjsY+y07RTtd+3B7dbtq+1L7Njsduw+7DLsPuxG7EHsPexB7ELsMuwe7CPsTOyC7Kzsx+zg7PLs5+y87I3seOyB7JnssuzM7OLs6+zr7PDtBe0n7UjtY+187Y/tk+2G7Xjtg+2s7eDuAu4Q7h/uRu6D7r3u5O7/7x7vSu9776jv2PAO8ErwhPC58PDxK/Fp8aXx3vIX8lHyivK+8urzEvM8823zofPV9Ab0N/Rs9KL02fUR9Uz1jPXR9hz2bfa/9wb3OfdS91f3Wfdz9674Afha+LP5F/mG+en6KfpG+lP6Wvpc+mX6mPsS+8b8hf0l/Z79/f5Q/p3+6f84/4v/4gA/AKIBCAFtAdECOQKjAwcDXwOmA90EBgQjBDwEVQR2BKME2gURBT8FZgWWBd0GMwaDBr0G4Ab2Bw0HMgdsB7IH9ggxCGoIpgjaCPcJCQkuCXgJ1wouCnAKqgrjCxILJAsdCw8LDgsUCxcLFgsiC0sLiQvLDAcMQwyMDN4NKw1lDZANsg3RDfAOEg48DmwOmg6/DuYPJA9+D+EQLRBTEGMQgRDDESQRjBHiEh8STRJ5EqISuxK6EqcSmBKiEsoTChNYE7EUFRR8FNwVKxVuFbMWBRZZFpkWuhbIFtUW4BbcFsoWuxa/FssWyha0FpsWkRaYFqQWrBatFq0WrhawFq0WpRaiFqwWvRbQFuIW+RcOFwkW3RacFmkWURZLFkMWNhYxFjwWVRZqFnEWbBZsFnYWfxZ4FmoWYxZRFhsV2hXmFmkXDhc+FtEWQBYUFlQWlxaZFnAWURZDFj4WSRZlFm4WTRY2FnYXDBeSF6gXXxcWFxYXUheVF78XzBfAF5wXbBdBFyQW/RaVFdQU+RSCFNUV4RcuGEUY+RlgGZsZvBnNGdcZ2RnNGbkZqxmlGZ0ZihlwGVYZOhkYGPQY1Ri2GJEYZxg+GBMX4hesF30XUxcnFvEWtxaBFkwWGxX0FdYVrRVfFOgUZhP6E7kTohOrE7sTuROhE5ETphPYE/wT8hPEE5wTlxOuE8QTxhO8E7sTxRPKE7cTkBNsE1kTSxMMEksQuQ5eC9AJ9wlwCgkK7QtmC2ILQwtJC1sLUws9Cz4LSwssCsMKMAmrCUcI9AiYCDEHygdvBysG+gbPBpwGZAYuBfsFwgWBBUsFKgUTBPgE2wTIBL0EqgSMBHQEbQRnBFEENAQmBCQEFgP7A+0D/AQUBBAD7APCA6IDggNWAyIC9wLUArACiQJoAlECOQIaAf0B7AHjAdABrgGLAXYBaQFRASsBAwDoANsA1QDUANwA6wD0AOsAzwCqAIIAYQBJADgAJQAK/+7/1P+3/43/Wf8q/wz+9f7S/qT+dv5Y/kX+M/4Y/fP9y/2r/Zr9lP2R/Yv9hP1+/W79Tf0f/Pf84vzf/OP84vzU/Lr8nfyI/Hz8cvxl/Fz8Xvxj/Fn8Pvwg/BH8EvwV/BD8CfwG/Ab8Avv4++374/vd+9j70/vM+8P7uPur+577lPuO+4v7jPuP+5P7l/ub+6D7ovuh+6D7ovut+737y/vU+9z75fvs++777fvv+/j8B/wV/CL8MfxF/Fn8avx4/IX8lfyl/LL8vvzM/OD89f0G/RP9If0z/Uf9Wv1s/X39jv2f/bH9w/3V/eX99P4C/hH+Hf4o/jX+Rv5X/mX+dP6F/pX+ov6u/r3+zP7W/tz+4/7v/vz/A/8I/w3/Fv8d/yT/K/8y/zb/Nv83/zr/O/84/zX/M/8x/y3/Jv8g/xv/Fv8Q/wv/CP8E/v7++v76/vf+7f7g/tj+1/7X/tL+yv7B/rb+rP6m/qL+mf6M/n/+ef50/mz+ZP5i/mL+Xv5T/kn+Rf5D/kH+Pv48/jn+Mv4p/iP+IP4f/h7+Iv4o/i7+Mf40/jb+NP4x/jn+TP5h/mn+Z/5m/m3+ef6E/pD+mv6h/qP+o/6n/q7+tv6+/sn+1/7k/vD+/v8N/xf/HP8f/yn/Ov9P/2H/bP9w/3P/e/+J/5n/rf/F/+H/+AAIABMAIQAzAEgAXgB6AJsAvADcAP0BIAFGAWwBlAG7AeICCgI2AmcCkgK2AtoDDANMA4oDugPcA/4EKQRfBJgEywTzBRQFOgVoBZsFzQX+BjAGYgaPBroG5QcSBzkHWweAB7YH8ggLB8gHFQYmBWsFSAXQBsoH9wlFCr0MUg3XDyQQIRDDEP8Q7RDFEL4Q3RD+EQ0RGRE2EVoRZBE9EOkQgBAWD7QPSw68DfAM7AvRCsAJzQkNCJcIegiiCOAJAgj2CMgIkwhnCDwIBQe4B2IHGgbtBtYGxQavBo4GYAYlBd8FjgU3BOEEjQQuA7YDJgKcAi0B0gFqAOcAWf/Z/2r/Av6h/lD+Ef3h/bf9k/1v/UH9B/zS/Lf8tvzB/Mf8v/yi/Gn8GfvL+5b7hPuO+6v71vwL/EH8b/yO/Jv8jvxn/C77+vvj++v8Bfwf/DD8OPwv/A370/uV+2/7bPuL+8T8C/xS/Ib8oPys/L383f0C/R79Kv07/Wv9t/3o/bL9APwj+477evu7/AX8L/xG/Fz8dfyO/Kf8wfzX/Ov9Bf0r/VL9cf2K/aT9vP3L/dP92/3m/ev95/3k/ef96/3p/eL93v3c/dT9x/23/aj9lv2B/W/9Yv1Y/Uv9P/03/TT9M/0y/TP9OP1C/VH9ZP16/ZD9qP3H/e3+Ff45/l3+g/6s/tH+9f8b/0X/cP+a/8T/7wAYAD0AYACIALYA5gEUAT4BaAGTAbwB5AIJAikCRAJbAnMCjwKtAskC4QL5AxMDMANQA3YDoQPPA/oEIQRCBFwEawRvBHEEegSLBKAEsgS+BMYEzATTBNoE3QTbBNYE1gTaBN0E3QTcBOEE6QTwBPQE+AT9BQEFBAULBRoFKgU3BUIFUgVrBYkFpQXABdoF9QYNBiEGMAY+BkwGWQZiBmYGaQZqBmoGZgZiBmAGYQZmBm4GegaEBooGjwaZBqYGswbABtQG8gcRByoHPwdWB20HfweNB5sHpwetB60HrQewB64HpwehB6YHtAfLB/EIKQhhCIgIpAjUCSQJdgmhCaAJjwmGCYQJhgmPCaYJxAnbCegJ7AnkCcwJqwmKCWwJTgkzCSAJGgkaCRsJGgkUCQAI3QiwCIEIVQgsCAwH7wfLB5kHWgcPBrAGQQXfBa0FrQWzBZkFYwUzBRcFBQTuBNIEuQSiBIwEcgRYBDgEDgPbA6gDgANlA0wDJgLwArkCmAKVAqACpQKiAqICpwKpAqACkQKBAm0CRwH8AYQA9QB+AD8AKP/7/5f/Gv69/o7+bP5A/hP99/3i/cT9rP24/eb+CP3u/ZH9C/x6+/n7pPuJ+5f7qPug+4T7ZPtM+zv7Lvss+zz7XvuD+5X7jvuK+6v7+PxJ/Gz8Uvwi/BP8QPyP/Mr80/zD/N/9Uv3+/pj+8/8i/1X/oP/wACUAJP/f/2L+0v5W/ev9Zfyr++L7TfsP+xD7G/sW+wX69vrv+uz66Prm+uz69fr6+vf6+fsI+xn7F/r8+uH61vrQ+rf6i/pj+k76UfqL+zT8Tf1g/br9EfvU+tP6gvq3+wH7HfsV+wT67/rY+s363/r/+wr65/qi+mL6R/pU+nP6h/qI+oD6efpw+l76SPo4+jD6JfoK+eP5uvmQ+WT5N/kO+Of4vPiL+Fr4LPf59733fvdF9xH21/aV9lH2D/XM9Yr1UPUi9Pj0zPSa9GX0K/Pt87DzfvNU8yXy6/Ks8nfyTfIo8gHx1vGo8XbxR/Ec8PXwzfCe8G3wRPAl8Afv5O+5743vZe8+7xju8u7Q7qzufO487fjtxO2l7Y/tde1a7UntR+1L7UjtNO0P7N/sq+x/7GTsX+xz7Jzs1+0h7Xfty+4E7gvt2e1+7Rjsv+yJ7Hjsf+yF7IDseOx57Hrsc+xt7H/sr+zk7QPtCu0J7QHs6OzA7J7smOyp7L/s0uzm7Pjs/+z97QHtFe027VXtae147YPthe167W/tde2V7cHt5O337gruLu5l7p7uze7w7xTvPe9r75zv0fAM8EjwgfC48PHxLPFm8Z3x0/II8j7ydPKp8tnzAvMq81Xzg/Ox89/0EvRK9IT0u/Tz9TD1dPW99gj2Vvai9t73AfcN9w73Fvc393j30/g3+Jn4/flh+bf58PoJ+hD6E/oW+i76ffsc+/T8xv1i/cL+A/4+/nr+uP8A/1b/uAAcAHwA2QE2AZcB+wJeAr4DGwNwA7cD6QQIBBkEJwQ6BFoEhgS1BNoE9gUaBVUFpwYBBlAGiQasBr8G0QbvByEHYwepB+wIJghTCHYInwjgCToJmQnrCiwKYwqTCrIKuwqyCqgKpwquCrQKvQrRCvoLMwtvC6kL5wwxDIQM0Q0PDT0NYg2CDaANww3vDiAOTQ5yDpwO3g86D5kP3g/+EBEQORCJEPkRaRHBEf4SLxJeEocSmBKLEm8SXBJgEn8SthMDE2ETyxQ4FJ4U+RVGFY4V2hYlFmAWgBaQFqAWsxa+FrkWrharFq8WrRaeFosWgxaLFpsWphapFqgWrBaxFq8WohadFrAW1xb5FwkXDxcSFwYW2RaRFk4WKRYfFhkWDRYBFgEWDBYUFhIWDxYcFjkWThZHFjMWJxYbFfQVxxXmFnwXMRduFwsWehZCFmoWkhZ9FksWLhYoFiUWKxZAFkcWJhYCFigWqRc3F3YXWRcfFwMXFhdHF4IXsxfEF6kXcRc5FxIW6haVFfUVJBR9FGsVEBYzF2gYXBj2GUsZfBmhGb0Zxhm7GagZnRmXGYsZehlqGVsZPxkTGOgYyxi0GJYYbRhDGBgX5heuF3wXUhcjFuYWnxZeFicV/hXhFcYVjBUcFIkUBxO9E6gTqhOrE6cTnBONE4kTohPSE/oT+xPYE7cTthPQE+kT7BPiE94T6BPxE+QTvxOZE4MTaRMKEgkQLg2oCyQJewkeCb8KnAshC0QLSQtTC1ELOwsuCzwLQQsHCoYJ8Al5CSkI5QiaCEQH5geJBzkHAQbWBqgGcgY+BhIF4QWlBWkFOwUbBQEE6wTfBNYEwQSgBIMEcARfBEQEKgQgBB0EDQPtA9YD2QPoA+cD1wPIA8IDswOMA1YDIQLxAsACjAJjAkoCNwIdAf8B6AHbAcsBrgGJAWwBWAFEASkBBgDjAMIApgCWAJsAtgDUAOAAzgClAHIARwApABT//f/i/8j/tP+d/3j/R/8Z/vj+3v6+/pb+bv5M/iz+Df3z/d39xP2o/Yz9ev1v/Wb9W/1U/U/9QP0f/PD8yPy1/Lj8v/y8/K/8o/yb/JD8efxc/E38VPxf/Fn8Pvwe/Av8A/v9+/b77/vs++n75Pvg+9z71/vQ+8r7xfvC+7z7s/up+577lPuO+4v7i/uM+437j/uT+5b7lvuT+5D7kfua+6r7u/vH+9H72vvi++f75/vo++/7/PwJ/BX8I/w3/E78Yfxx/IL8lvyp/Lb8wPzN/OD88v0A/Qr9Gf0u/UT9WP1p/Xn9iP2Z/a39w/3X/ef9+P4J/hr+Jv4w/j3+Tv5e/mr+dv6G/pf+o/6u/rz+yv7U/tn+4P7r/vf+/f8B/wj/Ef8Z/x7/Jf8t/zL/NP82/zj/N/8y/y7/LP8r/yb/IP8b/xb/EP8K/wb/A/7+/vf+9P72/vb+7v7j/tv+2P7U/s7+yP7C/rr+sv6t/qn+n/6O/oD+e/58/nn+c/5t/mv+Zv5e/lj+VP5S/k/+TP5K/kb+Pv43/jP+M/4z/jT+Of5A/kT+RP5F/kT+Qv5C/kz+YP5z/n3+fv6A/of+kf6c/qr+t/6//r/+v/7B/sb+yv7S/uD+7/76/wT/Ef8h/y3/NP86/0T/U/9l/3T/f/+G/4//nP+r/7n/x//b//YADgAeACoAOgBOAGMAdgCMAKkAyQDrAQ4BMwFXAXwBpQHTAf8CJQJIAnECnQLHAuwDFgNLA4MDtgPeBAEEJgRQBH8ErATUBPgFIAVRBYcFvQXzBigGWAZ+BqAGyQb+BzMHXQd/B6sH6ggmCCUHrwbKBc4FOQVZBiwHdQj9Cp8MPQ2zDukP1xB5EMUQyxC0ELAQyBDlEPsREhE2EVsRYhE8EPEQmRBHEAIPsw8rDkkNHAvhCs8J+AlSCOIIuQjWCRMJNwknCPIIugiPCGIIGQeqBysGxQaTBpUGsAbDBr4GnAZlBiAF0gWBBTIE4gR/A/kDVwK9AkYB5gF/AP0Acf/y/4H/EP6c/jj98f3G/aj9jv1x/Un9E/zd/Ln8r/y3/MT8zfzL/LL8ffw1+/H7xfu4+8b75/wY/FH8iPyw/MP8ufyS/Ff8JPwS/Cj8T/xu/Hz8e/xn/DL72/t/+0v7Wfuj/An8bPy5/Ov9A/0N/Rf9Lv1M/Vr9R/0r/Tj9hv3d/dL9Ovxc+7j7j/u5++z8Cfwh/ET8bPyO/Kr8w/za/PT9F/1C/Wb9fP2R/a/9z/3h/eb97P34/fv98P3i/d794/3j/d792P3T/cn9u/2t/aH9kf17/Wn9YP1c/VT9Sf1A/T/9Qv1F/Uj9T/1a/Wv9f/2T/aX9t/3P/e/+Ev41/ln+fv6k/sj+6/8S/zz/Z/+P/7j/5AAPADQAVgB8AKkA1wEDASsBVQGBAaoB0AHzAhQCMgJLAmUCgQKjAsQC4QL7AxcDNQNXA3wDpgPVBAQELwRTBG4EfQSDBIUEiASSBKEEsgTBBMoEzwTTBNcE2wTaBNcE1wTZBNwE3ATcBOIE7QT2BP0FAQUFBQkFDgUZBSgFOQVGBVMFZQWABZ4FuAXOBeQF+wYRBiEGLAY2BkMGUgZfBmAGZAZqBm8GbwZsBmwGbgZ0Bn8GjgaeBqcGrQa3BsgG2gbrBwAHIAdDB2EHdweIB5cHogerB7cHxQfPB9IH1QfcB+UH6gfxCAAIGQg8CGoIogjQCN8I3QjsCSIJZwmZCasJrgmtCaUJlwmQCZ0JuAnSCeMJ7gnyCesJ2gnJCbsJrQmdCZAJiwmOCZQJlAmECVwJIQjjCK4IgwheCD4IHwf6B8kHigc8Bt4GeAYlBf8F/QX5BdYFmwVnBUYFLQUOBOoEygSwBJwEiwR2BFYEKwP6A88DsAOcA4gDagNAAxgDBQMMAx4DJgMhAxQDBALuAs4CqgKHAmkCQAH0AXYA3wBsAEwAYABU//j/c/8R/uj+zP6b/mL+Pf4n/hL+B/4e/kn+T/4E/XL8xvwl+6j7Y/tg+4r7uPvM+8T7rPuP+3b7a/t2+5H7rvvB+8D7sfur+878I/yB/K/8lfxc/Er8gPzc/Rr9Fvzz/Pz9Xv38/pH+9v85/3//2QA0AG0AYAAE/3X+5/54/g39cvyg+9b7Wvs7+0n7U/tM+z37Mvsq+yP7IPsj+yr7L/su+y37OvtX+2/7aftF+yL7F/sW+wH62Pqu+oT6VPpS+ub8Mv2l/kb9kvwL+r76UPqS+vb7Jfsu+zP7Nvst+yL7KvtF+1f7R/sZ+uz64fr++yf7Nvse+vP60vq/+q/6mvqI+n76dfpf+j36Fvnt+cD5kvlm+T35EPjf+K74gfhQ+Bj33veo93X3PPb89rn2dvYx9e71tvWJ9V71LvT69Mb0kPRX9B/z7vO/84fzRvMH8tbyr/KI8l3yMPIC8dDxn/F18VHxK/D+8M7wo/B+8FrwMvAG793vt++R72nvQ+8h7v3uzO6M7kjuFe327eLty+2y7aLtn+2e7ZHtce1E7Rjs9Ozc7NHs2Ozx7RntTu2P7druIe5N7kruFu3D7WTtDezQ7LbsuezA7Lvssuyv7LTstuy77NPtAe0t7T7tNO0h7Qzs8OzO7Lbst+zK7N/s7uz87QjtDu0P7RftLu1L7WLtbu117Xvte+1z7Wrtb+2H7aztz+3q7gDuHe5H7n3ute7o7xXvPe9l75LvyPAF8EHwfPC48PjxN/Fw8aXx1/II8jfyZPKU8sPy7fMV8z3zaPOU88Dz9PQx9HD0qvTh9R/1Y/Wr9fH2NvZ49qz2yPbT9tv27fcS91L3rPgX+IL44vk6+YT5uPnP+dH5z/nc+hL6i/tP/Df8//17/bL9z/31/in+aP63/xn/hP/pAD8AkQDtAVIBtgISAmkCxgMpA4QDxwPrA/kD/gQGBBoEOQRbBHcEjASlBNIFFwVtBcMGDQZDBmMGcwaGBqkG4QcnB2wHpwfXCAoITAiiCP4JUwmaCdYKCgozCkoKUApMCkcKQgpACkMKTgpnCo4KxAsAC0ELhgvUDCYMdQy2DOkNEw05DV4Nhw20DeUOEg47DmoOrA8AD1MPjw+uD8cP+RBVEM8RRxGlEeUSFxJGEmYSaBJNEikSExIVEi0SXBKjEv8TZhPOFDUUmxT6FU8VnBXhFhoWPxZUFmcWgBaWFp4WmBaOFogWhRZ+FnIWaRZsFnsWjRaWFpkWoBapFqkWmRaOFqIW0Rb7FwgXABb2FucWvxZ7FjMWAhXrFd8V0hXKFdAV3RXhFdkV1RXpFhAWJhYSFesV2BXZFc8VwRXzFokXNxdzFxMWgBY9FlMWahZPFiIWFBYbFhgWDRYNFhMWBxX0FgYWVxbEFxcXOhc2FxsW/Bb5FygXeBe5F8IXlRdRFxAW1haMFhEVWRSME/8UDhTVFhgXaRhmGPUZOBliGYgZoBmiGZoZlBmMGXkZYBlSGUsZNhkNGOQYyxi4GJcYZhg1GAoX3hevF4MXWxcpFuIWlBZSFh8V8xXIFZIVORS1FCMTuhOXE6ITqRObE4gTghOKE5oTtRPdFAAUBhPvE9ITzRPiE/4UDBQNFAsUERQWFAwT8RPWE8ETkxL9EawPiwz3CqgJUQknCcUKhgsDCzoLVgthC04LKQsRCwsK7wqZChcJnAlGCQoI0QiUCFEIAAeiB0gHBgbYBqkGcgZABhsF9wXHBY4FWwU0BRYFAAT0BOwE2gS6BJUEeARgBEYEMAQjBBsEBgPkA8YDugO2A60DoAOfA64DvAO3A50DcwM7AvUCqwJuAkkCNAIfAgUB7AHZAccBrAGJAWUBRgEvARkBAwDpAMgAogCBAHIAegCMAJQAhwBoAEEAHf///+b/zf+z/5z/jP95/1v/Mf8G/uL+xP6m/of+Z/5D/hb96/3S/c39y/24/ZL9bf1U/UX9Of0t/SX9H/0N/Or8w/yo/J/8n/yd/Jv8ofyp/KX8ifxh/ET8PvxC/D38Lvwd/A/8Avv0++n75Pvf+9T7yfvC+777uvu0+677rvuv+637pvue+5X7jfuJ+4n7i/uN+4z7i/uJ+4j7hvuF+4X7iPuP+5z7rfu9+8j70PvY+9/74/vk++n78/v//Av8Gfwq/D38Tvxe/HL8i/yj/LP8vfzI/Nf85/z0/P/9D/0n/UD9Vf1n/Xb9hP2U/ar9wf3V/eX99v4J/hr+KP4z/kL+VP5i/m3+d/6G/pX+n/6p/rf+xv7P/tX+3f7o/vL+9/76/wH/C/8T/xj/Hv8m/yv/Lf8v/zH/L/8q/yX/JP8k/yH/Hf8a/xb/D/8H/wP/AP77/vP+7v7t/uz+5v7f/tr+1/7S/sv+xv7C/rz+tP6u/qr+of6T/oj+h/6J/oX+e/5x/mz+av5m/mP+YP5e/lv+WP5U/k/+Sf5G/kj+Sf5J/kr+T/5W/ln+V/5V/lT+U/5W/mL+dv6H/pD+k/6Y/qD+qf60/sH+zv7W/tf+2P7b/t3+4P7n/vX/BP8Q/xr/J/80/0D/Sf9T/2D/bv97/4f/lP+h/67/vv/O/9v/5f/0AAkAHgAuAD4AUwBqAH4AjgCiAL0A2gD6AR4BQwFmAYkBswHnAhkCQAJfAoICrwLcAwMDJQNLA3gDpwPUA/4EIwRFBGgEjQS0BNwFCQU9BXUFrAXhBhUGRgZtBosGrAbaBxUHTwd9B6QH0wgPCDkIEgdrBmMFcAUbBagG9witCnQMGA2ADqcPjxA2EJYQuRC9EMIQ0hDjEPERBxEqEUgRSxErEPcQvhCIEE8P+g9gDmMNHAvVCs4KEAmCCRcI5Qj3CSwJSwk2CQEIzgisCIUINwe6BycGrAZtBnEGngbLBtoGwwaPBksGAgW6BXMFIwS4BCgDfQLcAl0B9QGHAQQAewAA/4//GP6Y/ib92P2w/Z39i/1y/U39HPzo/MH8sPyy/L38zPzb/N/8xvyO/ET8Bfvk++P7/vws/Gf8o/zU/Ov84fy3/H/8VvxV/Hb8n/y5/MX8y/zA/IT8E/uY+1r7f/vt/Gr8yv0G/S/9TP1b/V/9Zv12/Xb9Sv0F/PD9PP22/eT9fPy2/A/7zfvT++b79fwQ/Dr8YPx7/JT8tPzW/Pn9IP1L/W79g/2Z/br93f3u/fD98v35/fr97f3b/dX92P3X/dH9yv3F/bv9q/2d/ZP9hv1z/WL9Wv1Y/VX9S/1E/UX9Sv1P/VT9XP1p/Xv9j/2j/bT9xf3Z/fP+Ef4z/lf+fv6k/sb+5/8O/zf/YP+F/6v/1P/9ACMARwBuAJoAxwDvARUBPgFpAZMBuAHbAf0CHgI7AlYCcwKVArgC2wL6AxkDOgNdA4MDrAPZBAgENgRcBHkEigSSBJYEmASdBKUEsgTBBMsEzwTQBNME1wTaBNsE3ATeBOIE5QTpBO8E9gT/BQYFDAURBRYFHgUqBTgFRwVVBWUFewWUBa4FxAXXBekF/QYRBiEGLAY1BkEGTwZaBlwGXwZpBnUGewZ8Bn0GgQaJBpUGpQa3BsQGzQbaBu4HBAcXBy0HSwdwB5AHpge4B8cH0wfbB+QH7gf2B/gH/QgNCCUIQAhaCHQIjgipCMkI7AkICQ8JBwkNCTIJagmcCb0JzwnSCcIJqAmcCa4JzgnmCfAJ9gn+CgMKAQn7CfcJ9wn4CfcJ9wn5CfkJ7wnSCZwJWQkaCOwIyQioCIQIXQgxB/sHuAdnBw0GtQZyBlEGQwYwBgcF1QWsBY8FcAVJBRsE8QTQBLsErQSbBHsETgQhBAED7gPgA9ADuwOiA40DhgORA6IDpgOVA3IDRQMRAtkCoAJrAkACFgHRAVsAzABoAGQAmAChAEj/wf9k/0f/L/7v/pz+Zf5R/kr+Tf5i/nP+Tv3X/Sr8fvvx+437W/tj+5j72PwB/Aj78PvI+6j7pPu+++L7+Pv9+/f77Pvq/An8Vvy0/OP8xvyI/Hf8uf0m/W39af09/TP9eP38/ov/Av9e/7IACQBcAIsAdgAR/33+9P6K/hr9cPyX+9z7fPtv+377gPt2+277avtj+1z7XPtj+2r7a/tm+2b7d/uX+7H7q/uI+2j7Y/tn+1f7MfsF+sv6evpO+sf8Ff2d/k39m/wS+s76c/rG+y/7YPtx+4j7mvuT+3r7avtw+377gPtv+1z7X/uA+6n7sfuK+077IfsO+wL67vrY+sn6vvqq+ov6aPpD+hr57fm/+ZL5Y/kz+QT42Pip+HT4PPgH99L3mfdc9xz22faS9k/2GPXr9b/1jPVX9SX08/S+9In0V/Qj8+bzo/Np8z3zGPLt8r3yjfJd8ivx+fHN8arxh/Fd8S/xAvDZ8K/whPBb8DTwDu/l77zvlu9071DvH+7h7qLucO5S7j3uKO4P7fzt8u3o7dLtre2E7WTtUe1L7U/tXe117ZXtvu3z7jTuce6S7oXuUe4E7aztVe0Q7PDs8ez67Pbs6ezk7Ozs+O0C7RbtNu1R7VftRe0s7RTs+uzf7NDs1uzp7PvtBu0N7RTtGu0i7TPtS+1g7Wvtbu1w7XPtcO1n7WHtZe167Z3tw+3j7fnuDO4q7lvune7h7xrvQ+9j74nvu+/38DTwcPCx8PfxPPF68bHx5fIW8kDyZvKM8rPy1/L68yHzTfN686bz2vQZ9F30m/TU9RD1UfWS9cv2A/Y79m32kPap9sH23fb/9zH3gPfp+Fb4s/j/+UD5cfmL+ZH5m/nG+ir6zvuj/Hv9Hf1t/X/9hv2i/df+HP5x/tf/P/+a/+UANQCbAQ0BdQHIAhQCbgLaA0YDmgPJA9kD2gPbA+MD8wQIBBwEMQRMBHQEqwTwBTwFhwXGBfUGFQYwBlIGgwa/BwAHPQd2B7cIBghgCLQI+wk3CXAJpQnNCeMJ7gnxCe4J4gnTCcwJ0wnqCg8KRAqICtULJgt5C88MIwxrDKQM0gz8DSUNTA10DZwNyA36DjIOdQ6+DwMPOQ9eD4MPwBAjEKERGxF8EcAR9RIhEjgSLhIIEeARyhHMEeASCRJKEp4S+RNTE7AUGBSEFOkVQBWKFcYV8xYOFiMWPBZXFmoWaxZgFlUWUxZTFkwWPxY6FksWaBaAFokWjhaTFpEWghZ0Fn8WpBbHFtAWxRa6Fq4WkRZbFhsV5BW7FZkVgBV7FY0VphWyFaoVpRW6FeEV8xXWFaYVlBWmFbgVwBXyFnUXDBc8FtoWRhX+FhYWPxY/FiwWLxY/FjYWERXxFeoV8BXyFfUWCxZCFpsXCRdhF3MXOhb2FvAXOBeZF9EXyBeMFzYW3RaLFi4VnxTJE9wTUBOXFL4WVhe/GJsY+xkoGVEZcxmAGYAZgRmAGW8ZVBlAGTgZKxkOGO4Y1hi9GJAYVRggF/kX2BezF4wXYRcoFt8WlxZfFi8V8hWeFTsUzRRYE/ETuBOxE7sTrROJE3ITexOaE7gT0hPvFAsUFBQCE+gT3RPrFAkUJhQ1FDoUOxQ4FC8UIBQTFAMTvRLqEUMO4AxLCkcJWAl0ChoKvgsgC08LagtsC04LHQrxCsYKggoaCasJWAkiCO8ItwiBCE0ICgetB00HBgbWBqUGawY3BhcF/QXYBaUFdAVMBSsFDwT+BPUE5gTIBKIEgQRqBFUEPgQqBBYEAAPkA8kDtAOiA40DegN2A4cDpwPFA9ADuwOEAzIC2AKIAlECMQIdAgoB9gHgAcoBsAGPAWcBPgEbAQIA8QDiAM0ArQCIAGkAVQBIADsALAAcAAv/+P/h/8b/qv+P/3j/Y/9L/yv/Bv7i/sP+p/6M/nH+Uv4r/fn9zP26/cX91f3I/Zr9Yv07/Sz9JP0Y/Qj8+vzu/N/8yvy1/KT8lvyJ/IL8iPyX/J38j/xw/FD8Nvwj/Bb8EvwV/Bb8C/v6++776vvj+9P7v/uw+6n7ovua+5b7mfud+5z7l/uQ+4n7gvt++4D7hvuJ+4n7hfuA+3v7eft7+4D7h/uM+5T7ovu0+8H7yPvO+9b73fvi++b77vv6/Aj8FPwh/C78OvxH/Fv8dvyT/Kj8tPy9/Mr82fzo/Pj9C/0j/Tr9UP1j/XT9g/2S/af9vf3Q/d/97v4B/hP+Iv4v/kD+U/5h/mv+dv6E/pH+m/6k/rL+wf7K/tD+1/7h/ur+7/7z/vr/A/8L/xD/F/8e/yP/Jf8n/yn/KP8j/yD/IP8g/x//HP8a/xb/Dv8G/wD+/P74/vH+7P7o/uT+3v7Z/tj+1v7R/sv+x/7E/r7+tv6w/qv+pP6c/pf+l/6V/ov+fP5y/m/+bv5u/m3+bP5r/mj+Zf5g/lr+V/5Y/l7+YP5e/l7+Yv5p/mz+av5n/mb+Z/5s/nn+i/6a/qL+p/6u/rf+wP7J/tb+4f7o/ur+7f7w/vP+9f78/wn/F/8j/zD/P/9M/1T/Xf9q/3n/hf+P/5v/rf+9/8r/1//m//UAAQAOAB0ALQA7AEsAYQB3AIoAnAC1ANMA7wEKASkBTgFzAZgBwwH4AiwCVQJ1ApgCwwLvAxIDMANPA3EDlgO+A+gEEQQ0BFQEdgSbBMQE8wUpBWMFmgXKBfsGLQZbBn8GngbDBvcHOQd4B6gHzAf4CDAIRQfmBvIFwwUFBUEGfwhTCjoL6Q1LDmoPUBAAEHYQtxDUEN8Q4hDhEOIQ7REEERYRFxELEP8Q9BDdEKQQMw9xDlQM/Qu0CrQKBAmCCR8I7Aj6CSsJRwkxCPwIzwi2CJcIUgfiB1wG5wahBpUGsgbWBuIGyAaQBksGBwXHBYUFNATEBDEDigLsAmoB+gGFAQIAewAB/5D/F/6W/iD90P2p/Zj9iv1x/U39Ifzz/M/8vfy4/Lz8x/zZ/Or86fzF/If8Sfwi/B38M/xa/I/8x/z0/Qb89fzK/J/8kfyr/Nn8/f0M/Rf9Kf0q/Ov8afvg+6n76vxz/PD9Mv1M/WX9iv2i/Z79iv16/V/9Gfy2/Ib8x/1S/aj9cvza/FL8GPwZ/Cr8Qfxm/Ib8ivx7/H38nvzM/O/9Dv01/WD9g/2f/bz92f3o/ej95/3o/eb92/3P/c39zf3F/br9t/27/bj9qP2U/YX9ev1r/Vz9VP1U/VP9T/1L/U79VP1Z/V79Zv11/Yf9mv2s/b/90v3m/f3+F/43/lr+gP6l/sf+6P8M/zP/Wv9+/6H/x//tABQAOwBkAJAAugDgAQYBLgFYAYIBqAHNAfECEwIzAlECbgKOArEC1QL3AxcDOQNeA4YDrgPXBAQEMwReBH4EkQSbBKIEpwSqBK4EtgTBBMsEzgTOBM8E1QTdBOIE5QToBO4E9gT/BQQFCQUOBRQFGwUgBScFMgVABU0FWAVmBXkFjwWkBbcFygXdBe4GAQYVBigGNgZBBkwGVwZcBmIGZQZyBoQGjgaRBpIGmQaiBq0GugbMBt0G7Qb/BxYHLQdBB1YHcweXB7gH0gfpCAAIEggbCB0IHwghCCMILQhICHEIngjECN4I6wjvCPUJAwkVCSIJJgkvCUoJdQmjCcwJ5gnnCcwJqAmcCbMJ2gnyCfcJ+goIChsKKAouCjIKPApJClMKVQpNCj0KJAn/Cc4JmQlsCUkJKQkDCNQIoghtCDAH6AeUBz0G7gaxBogGZwZEBiAGBgX4BeoFzAWeBWcFMwUKBPEE4wTRBK4EgARZBEUEPAQyBCYEHAQVBBAEDgQSBBQECAPkA6sDZgMdAtUCjQJGAgsB2QGaATUAuABkAGsAqgC/AHT///+2/6T/iv82/sj+f/5s/nT+f/6D/m3+G/2I/OH8Wvv/+8X7p/uw+9/8HvxM/Fb8OfwI++T76PwL/C78PPw//EP8RvxE/FP8jvzg/Q788Pyv/J/86f1i/bf9vf2V/X/9qP4Q/pn/I/+a//cAPgB0AI0AbwAO/4j/C/6g/iD9aPyT++37pfuf+6b7oPuZ+5v7nvua+5P7lfug+6j7qfuj+5/7pvu8+9L71fvG+777zPvd+9P7qftv+yj61Pqw+yb8Uf2a/hD9UPvz+vb60Psx+477tfvL++r8A/v7+9n7ufup+6b7pvuf+5T7k/un+8T7zPuu+3/7YftZ+1P7Pfsh+w77Afru+tD6rvqO+mv6QvoW+en5vPmQ+WT5OfkJ+NT4nPhm+C/39Pe593z3Ovbz9q/2ePZK9hz16PW09Yb1WPUl9O/0ufSC9EP0BPPP86jzgvNU8yDy7PK68ofyVPIp8gXx4vG58Y3xYfE18Qfw2/Cy8I3wZvA78BLv7e/L76Xvdu897wLu0u6y7pzuh+5v7lfuRO4x7hjt9+3Y7cXtv+3C7czt3e3w7gXuH+5I7n/use7G7rDue+417eXtkO1I7SXtJ+0z7TDtIe0b7SftOO1D7UztWO1j7V/tTO007RztBezz7O7s+e0L7RftHe0f7SLtKO037U/tZ+1y7W/taO1m7WftY+1Z7VPtWO1t7Y/tuO3c7fLuAe4X7kTuiO7U7xXvQu9i74Xvtu/x8C3waPCn8O7xN/F58bTx6/Ie8knybfKP8q7yyPLi8wTzMvNi85HzwvP/9EP0gfS59PP1MvVr9Zn1wfXv9iD2UPZ+9qv21Pb09xj3Vfex+Bf4bPiv+Of5GPk5+VP5gfnf+nL7J/vl/Iv8/P0u/Tf9Pv1c/ZL91/4p/oj+5v81/3v/0ABBAL4BKQF2AbkCDQJ6Au8DUQOPA6wDswOxA7ADsgO6A8oD5AQHBC8EXQSSBM4FDgVLBYMFtgXlBhEGPgZyBq0G7AcsB28HuggJCFEIjgjECPsJMAlYCXMJhgmUCZcJiwl3CWoJbAl8CZsJzgoWCmoKvwsUC24LywwhDGUMmQzFDOwNCg0hDTwNaA2mDe4ONQ52DrAO4g8QD0QPjg/zEGwQ4RFCEY0RyhH3EgsR/RHWEa4RlxGUEaMRxBH9EkYSkhLaEygThhP0FGIUxhUbFWAVlRW3Fc0V5BYBFhwWKRYlFh0WHhYmFiMWEhYHFhYWPxZnFnkWeBZzFmwWXxZTFlUWZhZ4Fn0WehZ4FnMWXhY3FgQVzRWTFVkVMBUpFUEVYRVwFWwVZxV4FZkVqhWYFXoVeRWWFawVqxXFFikWqxbbFoMV8xWrFdEWIhZVFmkWehaIFnMWNhX1FdUV1xXgFdgVxBXMFiAWxRd5F9gXtxdPFwcXFRdiF7MX3BfNF4YXHRazFlgV5hUiFAsTEhLbE7oVYBcQGDYYwBj8GSoZUBldGVkZXRloGWgZUxk6GSsZHxkJGO8Y1BiyGH4YQxgWF/oX3xe5F4kXVBcWFtMWlhZnFjAV1hVZFNYUaxQgE/QT5RPlE9gTrxOAE24ThBOrE8sT4xP+FBkUIxQUE/sT8BP9FBwUPhRUFFwUWRRTFE4USxRNFD4T3RLKENIONQupCfMJawnOCoILDgtSC20LdwtvC0sLFwreCpoKPQnRCXgJPwkUCNwInQhpCD0IAAejB0AG+AbKBpsGYQYtBg8F+gXbBa8FggVfBT8FIQULBP0E7QTPBKkEigR4BGcETgQwBBQD/wPrA9UDvQOlA44DeANrA3ADiwOxA8sDwwOWA04C/AKqAmUCNAIYAgkB+gHlAcoBrwGSAW4BQwEXAPMA2wDLALsApQCKAG0ATwAwABP////1/+//4f/I/6n/jf91/1v/Pf8Z/vP+zv6x/pz+iv50/lj+Nv4M/d79t/2p/bf9yf2//Y79Tf0g/Rb9Hf0c/Qb86fzU/Mv8x/y//LD8nfyI/Hb8bfxw/Hn8fvx7/Gr8TPwn/Ar8BPwP/Bj8D/v7++376Pvi+9P7vvuv+6T7mPuO+4n7jPuP+477i/uI+4P7e/t0+3T7eft++3/7fft5+3X7c/t3+4D7iPuM+4/7mvuq+7f7vfvB+8r71Pvc++L76vv4/Aj8Ffwe/Cb8L/w5/Er8Yvx+/Jb8p/yz/MD8z/zh/Pb9DP0h/TX9SP1c/W/9gf2Q/aP9t/3J/df95v33/gr+Gv4q/jv+Tf5c/mj+dP6C/o/+mP6i/rD+vv7G/sr+z/7Y/uD+5f7q/vL++v8B/wj/EP8X/xv/Hf8g/yT/Jf8i/yD/IP8f/x3/Gf8W/xP/Df8D/vz+9v7y/u7+6/7o/uP+3f7Z/tf+1P7P/sr+x/7F/sD+uv61/q/+qv6k/qL+oP6Y/ov+f/56/nr+ef53/nf+eP54/nb+c/5v/mv+af5t/nL+c/5v/m7+c/56/n7+fv5+/n/+gP6E/o/+n/6t/rb+vf7F/s7+1v7g/u3++P79/v7/AP8D/wb/Cf8Q/xz/KP80/0T/V/9l/23/dv+D/5L/mv+i/7D/xv/Y/+H/6f/2AAgAGQAnADQAQABMAFwAbwCDAJUAqgDIAOoBBgEcATYBWgGEAa4B2gILAjoCYwKJArAC1wL3AxIDMANTA3QDjgOpA80D9gQdBEIEZwSOBLYE4gUYBVMFigW4BeIGEQZDBnEGmAa8BucHJAdsB6gHygfkCBIIQggdB1YGGQUYBQwGKAgFCgYLwg0eDiwPBg+9EFIQuhDrEPEQ4BDQEMwQ0hDdEOMQ5BDuEQgRJBEiEOEQUQ9tDj0M5AugCqQJ9QlyCQwI2QjnCRoJNgkbCOEItQikCJMIZQgUB7MHWQcXBvQG6gbpBtoGsQZxBikF5QWqBW4FHwSwBCEDggLrAmkB9QF/AQAAgAAI/5T/G/6g/jL95P25/aP9jv1x/Uv9Ivz7/N78z/zM/M/81fzf/Ov87vzb/LH8hvxv/HP8ifyo/Mr87f0I/Qz89vzU/ML81/0O/Un9af1v/Xj9jP2K/UL8uPw4/Bz8e/0U/Yj9r/2p/a/9zf3i/c79m/1k/Sb8x/xQ/Av8O/zC/S79LfzZ/Iv8c/yF/Kr84f0c/TL9Bvy+/KH8wfzz/Qv9EP0m/VX9hf2j/bT9xP3W/eL95/3k/dj9yv3F/cf9xP20/ab9rf3F/dH9wf2f/YH9cP1k/Vr9Vf1W/Vn9Wv1a/V79Y/1n/Wv9df2E/ZX9pv23/cv94f32/gz+JP5A/mD+gf6j/sX+5v8J/y3/U/95/53/wf/mAA0ANwBhAIsAswDaAQIBKgFSAXwBpQHLAe8CEQIzAlMCcQKPArEC1QL3AxcDOQNfA4gDrwPWBAIEMwRjBIUEmASjBK0EtAS2BLYEuQTCBMsE0QTTBNUE3ATkBOsE7gTxBPgFBAUPBRUFGAUbBSIFKQUvBTcFRAVTBV8FaQV2BYkFnQWtBb0FzwXjBfUGBQYZBi4GQAZNBlcGYAZjBnAGdgaEBpYGoQajBqUGrwa8BscG0gbjBvgHDwcmBz4HVQdrB4IHoQfHB+kIBgghCD0IUQhWCFAISghMCFYIbAiSCMUI+AkZCSEJFQkCCPYI+wkQCSYJNglBCVMJcwmfCc0J7QnuCc4JowmRCaQJyAnjCe0J+AoQCjIKUApmCncKiwqcCqUKnwqJCmkKRwonCgoJ8gnbCcAJlwlgCSII5AioCGYIGQfDB20HIQbiBqwGeQZMBjMGNAZCBkMGJwX1BboFgQVUBTcFKAUWBPMEyASoBJwElwSMBH8EeQR9BIAEfARwBF4EPgQKA8UDeAMpAtoChwIvAd4BnQFhARAArwBsAHQArgDMAJwARQAM//f/zf9q/vL+o/6P/pn+nf6L/lD93/1L/MX8dPxT/ET8OvxB/GL8j/yw/LD8jPxZ/Dn8Q/xm/IH8iPyO/J/8q/yk/KH8yP0S/T/9JPzk/NL9Gv2R/er9/f3i/c/96v5A/sT/Wv/iAEMAfQCWAI8AYAAI/53/Nv7J/jL9aPyZ/Ar70vvL+8r7w/vE+8/71PvN+8f7zPvZ++L75fvg+9f70PvX++v8Avwb/EP8f/yy/LL8c/wN+6H7TPtC+7/8sv2Q/a786fvZ+zv7SPuj++f8A/wc/ED8WPxS/Dr8H/wG+/H73/vO+7v7qvuq+7r7xfu8+6f7nvuh+5z7g/tj+077Qvsw+xH67/rR+rP6kPpp+kL6Gvnz+cv5n/lt+Tb4/vjH+I/4U/gW99r3mfdT9xD22Pao9nj2RPYU9er1wPWN9VL1F/Tc9J/0ZvQ39BDz5vO0837zSfMV8uHysPKH8mLyPPIS8efxvPGP8V/xL/EG8OHwu/CR8GjwQ/Ah7/vvze+Z72HvMe8O7vbu4+7M7rPunO6G7m3uVO5A7jbuNO447kDuTe5a7mPuce6N7rru4u7s7tDum+5a7hDtvu137VXtWu1p7WftWO1U7WLtde177Xftc+1x7WrtWe1A7SXtD+0F7QztHe0t7TTtNO017TjtQe1S7Wvtf+2C7XXtZe1f7V7tWu1S7U3tUu1k7YTtre3V7fLuBu4c7kLue+6/7wHvOO9i74vvve/58DXwbPCm8OnxMPF08a7x4/IU8j7yY/KF8qPyuvLO8uzzGfNO83/zsPPn9CP0XPSQ9Mf1A/U79WL1gPWh9c32APY79nv2tfbg9wL3Mfd799D4G/hX+I34v/js+SP5gvoW+sT7Zvvn/Ez8mvzP/O39Bf0n/Vb9kP3X/ir+f/7J/w7/Zf/aAFoAxgEVAVcBpwINAn0C5AMzA2IDeAN7A3cDcQNxA30DmgPBA+gEDgQ4BGoEowTdBRkFVwWUBckF9gYkBlwGnQbdBxkHVgeYB9kIEghDCHIIoAjICOsJDAkqCT4JQgk6CTMJMwk7CVAJewm+CgwKWAqlCvwLYAvEDBgMWgyNDLMMxwzPDN8NDA1WDaoN9A4vDmEOkQ7HDwkPWw/AEC4QmxEAEVoRoxHTEeMR1RG2EZQRexFuEXERhxGzEe8SLhJqEqsS+xNeE8sUNxSXFOYVJBVOFWkVgRWfFcAV2RXhFeEV6BX2FfwV8hXjFe0WFBZDFl4WXxZSFkQWORYxFi0WLxYzFjkWQRZLFkoWORYYFe0VtRVuFSgU+hTzFQcVHhUoFScVJxUzFUoVWxVgFWQVfRWcFZ0VexVxFboWOxaDFkkVxBVxFZMV/RZgFpsWuxbEFqgWYRYLFc8VuRW3FaoViBV3FbcWYhdDF+4YGRfVF3IXOBc8F24XshfiF9cXiRcXFqcWMRV6FGYTQBKtEyoUnxZfF7oYeBjQGQsZNhlDGTkZOBlHGVIZRhktGRcZBhjxGNUYthiRGGQYOBgaGAUX5RexF3QXORcCFsgWjhZUFgYVlRUMFJAUQBQaFA4UCBP5E9YTpBN+E3sTlxO4E9AT6xQPFC8UNxQlFA8UCxQeFD0UWRRqFG4UahRoFGsUdRSCFG8T6xKUEFANjQscCbkJigofCtQLSAtyC3sLdgtjCz4LDQrWCo4KMAnKCXkJQQkOCMwIiAhTCCYH5AeFByIG3QazBogGUwYjBgcF9AXXBa8FiAVrBVIFNwUfBQsE8wTRBK0EkwSGBHcEXAQ5BBwECQP4A+EDxQOtA5oDhwN0A2oDcQODA40DgQNhAzgDBwLJAoACPgIUAgEB9AHeAb8BoQGIAW0BSgEeAPMAzwCyAJ0AiwB7AGoAVAA4ABwACf/8/+v/y/+h/33/Zv9U/z3/G/7y/sj+pf6K/nr+bv5e/kP+Hv31/c79rf2c/Zv9of2W/W79Nv0M/Qj9Hv0s/Rv88fzI/LP8r/yt/Kj8n/yR/H38ZfxR/Ez8Wfxu/Hj8a/xJ/Cb8FfwX/Bj8Cfvv+9n7zvvH+737svup+6L7l/uK+4T7g/uD+4L7gvuE+4P7e/tw+2v7bvtx+3L7c/t0+3T7cvt0+3z7hfuJ+4r7kfuf+6v7svu2+777yvvU+9z75vv2/Aj8Ffwd/CP8LPw2/EP8Vfxs/IT8mvys/Lv8yvzd/PT9DP0g/TD9QP1T/Wn9ff2O/aD9s/3E/dP94v3y/gX+Fv4m/jf+R/5V/mL+cP5+/ov+lf6g/q7+uv7A/sT+yP7Q/tf+3P7h/uj+8P73/v7/B/8P/xP/Fv8a/x//If8g/x7/Hv8c/xf/Ef8O/wz/CP8B/vn+8v7s/uj+5v7l/uP+3/7b/tf+0v7M/sj+xv7E/sH+vv66/rX+rf6n/qT+oP6X/o3+iP6J/or+h/6D/oT+hv6H/oT+gv6A/n/+f/6B/oT+gv5//n7+hP6M/pH+lf6Z/p3+nf6e/qX+s/7C/s3+1v7f/uf+7/76/wj/E/8Y/xj/GP8Z/xr/Hv8n/zP/P/9K/1r/bP97/4X/kP+g/67/tP+5/8j/3v/v//b//QALAB4ALgA6AEYAUwBiAHMAhwCcAK4AxADhAQEBGwEwAUgBbQGZAccB9QIhAksCdAKgAswC7AL8AwoDJQNPA3YDjgOiA78D5QQNBDUEXwSJBLEE2gUMBUUFfQWqBdIF+gYmBlYGiAa2BuIHFQdWB5YHuwfHB+IIFggcB48GbQVVBRQGCAfdCesLrQz1DdsOlA9QEBIQsBD9EPkQ0xC6ELsQxhDKEMgQzRDlERERNhEvEN0QOA9IDh0M1QujCrAJ/QlwCQAIxQjSCQYJHQj0CKsIewh3CH8IcAhACAEHwweIB1EHIAb1BskGkgZNBgMFvgWGBVAFCASfBBMDeQLmAmYB8QF+AQgAkQAZ/6D/J/60/lP+C/3c/bv9m/13/U39Jf0C/Or84fzm/PH8+vz9/Pv89Pzi/Mn8tvy3/M386/0C/Q/9F/0Z/RH8/vzt/Pj9Kv11/bb91f3a/d395P3O/Xr8+vyX/Jf9Af2U/f7+G/4J/fr9//3+/dn9kv1A/On8efv7+6z7yvxG/Mf9Avz6/OT83Pzm/Qr9V/2z/db9nv1D/SD9Tv2I/Y39a/1c/Xn9oP2v/av9sf3Q/fj+EP4J/ez9z/3D/cT9vP2o/Z39tf3l/gT98v29/Yn9av1e/Vn9Wv1f/Wb9av1s/W/9cv11/Xr9hP2S/aL9sf3C/df97v4F/hv+M/5M/mb+gv6h/sT+5/8J/yr/Tv92/53/wv/nAA4AOgBkAIsAsgDcAQcBLwFWAX4BqAHPAfECEAIyAlQCcwKRArMC2AL7AxsDPANjA44DtQPaBAUEOARqBI4EogStBLgEvwTABLwEvQTEBM8E2QTgBOUE6gTvBPQE9gT5BP4FCAUTBRoFHQUiBSkFMQU3BT4FSwVbBWYFcAV9BZEFpAWxBb4F0gXnBfkGBwYYBi0GPwZLBlYGYgZsBoAGhwaTBqIGrAawBrUGxQbYBucG8gcDBxsHNgdQB2gHgQebB7oH4ggMCC8IRwhdCHQIhAiDCHYIcAh8CJYItwjfCQ0JNQlFCTUJEgjwCOEI6gkECR4JLwk5CUYJYAmLCb8J6Qn1Cd8JtgmbCZwJtAnPCeUJ/QodCkYKcAqYCrwK2QrqCugK1Aq0CpEKdQpmCmMKZQpeCj8KBAm4CWsJJgjlCJ4ITQf2B6EHVQcRBtIGmAZsBl4GbgaGBokGawY4Bf4FyAWaBXsFagVZBTsFGAUCBPwE9QTiBMsEvwTCBMMEtwSdBHoETAQTA88DhgM5AucCjAImAcMBdAE7AQUAywChAKcA1ADyANgAlwBcADD/8v+O/yL+3P7E/r7+rP6A/jH9v/1F/O38zvzW/OT86/z0/Qb9GP0c/Qf83fyu/Jf8pfzG/Nr83vzn/P79Cfz6/Oz9DP1R/X/9av00/Sb9Zf3J/hX+LP4i/h/+QP6S/w3/mgAdAIAAugDEAJ4AU//8/7D/Z/77/k79dPyw/Df8Cfv9+/T78Pv5/Ab8B/v++/v8BfwT/Br8G/wY/BD8BvwG/B78TvyZ/Qf9kP4B/hf9tP0B/Ef7y/u5/B78xf07/SH8hfvh+6P7y/wO/DX8Svxo/Ij8l/yT/Iz8hPxw/FH8Mvwa/AL76vvd++X78vv1++376vvp+937wfuj+5H7hftx+1L7MPsT+vj62/q6+pj6dfpQ+ir5/vnK+ZP5XPkn+O/4svh0+Db39/ez93L3OfcG9tX2o/Z39lH2KPXz9bT1cvU09Pv0yvSe9HT0Q/QM89Tzn/Nr8zfzCfLj8r/ylfJo8j3yE/Hm8bLxgPFX8TLxDPDj8LvwlvBz8E7wI+/x77vvie9j70rvN+8k7w/u+u7l7s/uu+6v7qnuqO6n7qnuru6y7rPuuO7M7u/vDu8R7vLuv+6B7jbt5O2h7YPti+2b7Znti+2I7Zbtpe2k7ZbtiO2B7XvtbO1R7TLtG+0X7SbtPO1K7UztTu1T7VztZe107Yntme2X7YTtb+1j7V7tWe1U7VLtVu1l7YLtq+3X7f3uGu407lLueO6r7ujvJ+9e75Dvx/AF8ELwefCv8O7xNfF28a3x3PIF8ifyRfJj8oPyofK58tjzBfM983Pzo/PT9AX0NfRi9JX00fUJ9TD1SfVh9YD1qfXg9if2dPa09uP3EPdI94j3x/gD+D74d/iy+Qb5kfpL+v/7e/vA+/f8PPyG/MH85/0G/Sj9U/2L/dH+Hv5j/qb++v9q/+cAWACyAP0BSgGgAgACYQK4AvgDHwMxAzUDMgMvAzYDTwNyA5MDsAPUBAQEPQR2BK8E7gUvBWcFlAXCBfsGPAZ3BqkG3AcZB1kHjge2B9kIAAgsCFwIjwjDCO4JCwkYCR4JIgkoCTgJXAmUCdYKFQpTCp0K+wtgC78MEAxSDH0MjgyPDJsMyg0WDWoNsA3kDhEOQQ58DsYPHw+BD+YQTxC9ESkRfhGqEbERohGNEXYRXxFKEUIRTRFqEZYRyRICEj8ShBLWEzcTnhQCFFkUoBTWFP4VHRU8FWEVghWWFZ0VphW6FdEV2BXRFdEV6RYRFjIWOxYwFh4WDxYIFgMWARYBFgsWHhYwFjMWJBYGFdkVlxVGFP4U2RTYFOEU5hToFPMVBRUTFRsVIRUvFUwVdRWRFX8VRxUpFWgV8hZcFksV0hVkFV0VtxYtFokWvRbNFrcWfBYrFeEVrxWVFX0VXRVFFWQV4BarF4AYEhg8GBAXuRdpF0kXaBevF+YX3heSFyIWmxXlFOETtBLhEvUUDRWvFykYGRiWGOIZFxkvGSsZJRkrGTAZJBkMGPUY4xjNGLAYkRhwGE8YLxgWF/oXzxeTF1gXKhcCFs4WhBYnFbsVRxTdFJAUZBRKFDAUEBPoE7oTkROAE44TqxPFE9sT/RQtFFEUUhQ4FCIUJxRBFGAUdRR/FH8UfBR8FIQUlhSoFIUTzxIvD60M4gqwCa0JyQpyCxILZgt+C3wLbwtSCycK+ArGCoYKMwnVCYIJPgj+CLkIdwhBCAwHwwdlBwgGxgaZBnAGQQYaBgIF7QXOBaYFgwVsBVsFSQUyBRgE9wTSBLEEngSUBIQEaQRJBDAEHgQLA/ED2APFA7UDnwOCA2cDVgNKAzcDHQMHAv4C9QLTApICSAITAfkB6QHRAa4BjQF0AV4BQgEdAPEAyACjAIcAdABpAF8ATwA5ACYAGQAJ/+f/sP91/0z/O/8z/yH/Af7c/rj+mP56/mL+Uf5B/in+CP3k/cX9qf2Q/Xz9cv1o/VP9Lf0K/QL9F/0v/Sj8/fzJ/KT8lPyP/Iz8jfyN/IP8aPxF/C78L/xG/GH8a/xf/Ef8M/wn/Bv8BPvk+8b7svul+5z7mPuX+5f7kfuI+4P7gft/+337fvuC+4L7evtu+2b7Zvto+2f7aPts+3D7b/tv+3P7e/uB+4P7h/uR+577pvus+7T7v/vJ+9P73/vx/AT8EfwZ/CD8Kvw2/EL8Tvxf/HX8jvym/Lr8y/zc/PH9Cf0e/S79Pf1P/WX9e/2P/aD9sv3C/dL94P3w/gH+Ev4j/jP+Qf5O/lv+af52/oP+j/6b/qf+sf63/r3+w/7K/s/+0/7Y/t7+5f7t/vX+/f8D/wb/Cv8Q/xX/F/8W/xb/Ff8T/w3/B/8D/wP/Av7+/vj+8f7r/uX+4P7d/tv+2v7Z/tX+z/7L/sn+x/7E/sH+wP6//rn+sP6o/qT+of6Z/pL+kv6W/pf+lP6R/pT+mP6X/pP+kP6R/pP+k/6T/pT+kv6Q/pL+mP6g/qf+rf60/rj+t/62/rv+x/7V/uH+7f73/wD/CP8U/yP/L/80/zT/NP80/zX/OP9C/1D/XP9m/3P/gv+O/5f/pf+5/8r/0v/X/+P/9AACAAsAFgAoADcAQABFAFEAYQB0AIkAoQC5AM4A4QD3AREBKwFEAWIBhwGxAd0CCgI3AmICjgK/Au0DBwMKAwoDHgNGA20DiQOgA8AD5QQIBC0EWASFBK0E1AUCBTgFbQWcBcYF7AYQBjkGcAatBuAHCgc9B3kHowetB7kH5wgJB7EGuwWkBUEGDwfWCegLpgzKDXQN/g66D64QjhEAEPsQyBCtELcQwhC9ELYQwhDmEQ8RIREAEJsP8A8HDfEMwwumCrwKBwlyCPoIugjHCPsJCAjICGkINQhFCG4IeQhbCCoH+QfDB4EHNgbvBrIGeQY7BfYFswV6BUgFBQSfBBQDewLrAmwB+QGHARYAowAq/6z/Mv7H/nP+M/4D/dn9sf2H/Vz9Nf0U/P389Pz8/Q/9If0m/Rz9Cfzz/OD82/zs/RH9Ov1S/VX9S/0+/TL9KP0o/UX9gf3N/gv+Kv4z/jP+Kf4A/az9SP0H/RD9X/3K/h3+Pf4w/hX9/v3m/bn9cf0X/LT8QvvM+3/7kfwC/JX9B/0+/UP9I/z4/PH9OP2v/fv96/2z/bX+A/5N/kj+Bf3O/cf90P3C/af9qf3a/h7+Sf5A/hD93f3C/bv9sv2f/Zv9wP4B/iv+GP3W/ZH9af1c/V39Yv1r/XX9ev17/Xv9ff2B/Yb9jv2b/an9uf3M/eP9+v4R/ij+Qf5a/nL+i/6o/sz+8f8T/zH/U/96/6L/yP/sABQAQABqAJAAtgDiAQ4BNgFbAYEBqgHQAe8CDQItAlECcgKSArUC2wL/Ax4DPwNoA5QDugPdBAYEOQRsBJIEpwS2BMMEywTJBMQExATMBNcE4gTsBPME9wT4BPoE/QUABQUFDAUUBRoFHgUjBSwFNQU7BUEFSwVYBWMFbQV8BZIFpAWwBbwF0AXmBfgGBgYWBioGOgZDBk4GYAZzBooGkwacBqsGtwa+BsoG3gb3BwkHGAcqB0UHYgd+B5kHtgfYCAEIMAhcCHcIgwiMCJwIqwirCKEIogi4CNoI+QkQCSgJPAk8CSEI9gjTCMkI1QjtCQMJEwkfCS8JSgl0CaoJ3woACgEJ6AnICbYJugnRCfAKEwo3Cl4KjArACvMLGAskCxcK+grbCsQKugq/CtAK4QrfCrcKawoOCbgJbgkmCNYIfwgpB9YHiQdABv0GxQagBpoGrAa/BrkGlQZjBjAF/wXSBa8FmgWHBW8FWQVQBVEFSAUrBQcE8ATnBN4EyASkBHcERAQMA9ADjwNHAvQClgIwAcsBewFJATEBHwERARMBJQEwARcA2wCTAE0AAv+t/17/KP8H/ub+t/52/iT9yv17/VL9Uv1o/X/9j/2c/aH9lv15/U/9Ifz7/O38+/0W/Sj9MP09/VL9V/1F/Tr9W/2c/cj9wP2h/aL92P4i/lb+Z/5o/nf+qf7//2r/1gA8AJoA4ADtAK4AQv/k/7L/iP8h/mb9iPzY/Hf8T/w2/CL8Hvws/Dj8Nvwv/Db8SPxU/FL8TfxM/E38TPxU/HL8s/0o/d3+v/+A/7j/N/4x/Rn8U/wM/C78e/yn/Ir8Q/wT/B/8Tfxy/IX8nPy8/ND8zvzG/Mr80PzD/KP8hfxx/GD8TPxB/Ef8U/xT/Ef8Ofwt/Bv8APvn+9b7x/uw+5H7c/tZ+0H7J/sJ+uj6xfqg+nr6T/od+ef5sfl++Uj5DPjN+JH4VPgV99X3mvdl9zP3BPbb9rb2i/ZU9hL1zfWP9Vv1MPUH9Nf0nvRh9Cnz9fPB84zzYPM88xny7vK+8pLyZ/I48gPx0fGo8YbxYfE38Q7w6PDF8KHwePBJ8BPv4O+375zvie9472fvVu9E7zDvIO8X7xXvFO8P7wrvBe8A7vvu/O8L7ybvPe897yHu8e6w7mDuDu3Q7brtw+3O7cftuu247cTtzO3B7artmO2R7Y3tge1m7UXtLu0t7UDtVu1i7WTtau147Yftke2c7artte2v7Zrtge1u7WHtWe1U7VbtXe1r7Ybtru3c7gfuLe5M7mbugO6j7tjvGO9W747vyPAK8EvwhfC98P7xRvGJ8b7x6fIL8h/yKvI58lfyfvKj8sby9PMt82jzmPPB8+f0DfQ39Gj0oPTU9Pz1F/Uw9Uj1ZPWL9cn2HPZv9rL25PcQ9z/3dPe09/v4QviN+Pj5nvpp+xn7ffup+9j8KPyC/MH84Pz0/Q79Mf1c/ZP90f4N/kz+mv8E/4D/+QBfALIA+wFBAY4B4gI1An0CswLYAvAC+AL2AvYDBgMgAzoDUANuA5sD0wQKBD8EegS5BPMFJAVWBZIF0AYEBi8GXwaeBt4HDgcrB0cHcQerB+wILwhwCKsI2Qj3CQwJHAkuCUUJagmcCdUKDApACnsKwwsXC28LxwwTDEYMWwxfDG4MmwzfDSUNXw2NDbkN6w4pDnkO1g84D5kQARB6EPMRTBFwEWoRWRFPEUURNBEfERYRHBEsEUURbBGkEeQSJBJkErATChNpE8EUDRRRFIsUuRTfFQUVKxVGFVIVXBV0FZgVthW+FbkVvRXUFfMWBhYDFfEV3RXRFc0VzhXTFeMV+xYSFhsWExX6FcgVeRUdFNcUvBS8FLcUqRSrFM8U/xUZFRMVAxUDFRsVQBVZFU4VJhUVFVMV3BZZFmkWARV4FTQVWxXEFjIWfhahFp4WfhZLFg4VzxWXFWkVRBUnFSQVWhXhFqwXihg4GIEYXRfyF4IXSBdWF5MXyBfLF48XHxZ4FYoUYhNaEv4TnxUFFo0XrxhTGKwY5xkNGRoZGhkaGRQZAhjoGNIYwBirGJAYdBhaGD0YHBf4F9AXoBduF0gXMRcUFtUWaRXkFWQVBhTUFMEUsRSKFE0UChPQE6MThhOCE5kTuhPWE/IUHRRSFHMUahRIFDMUPhRdFHoUjBSUFJYUlBSRFJMUoBSlFGATaRF8DtEMKQpcCcoKJQrMC0ULeAuEC4ELbgtHCxIK3QqqCnEKJwnSCX0JMgjvCK4IcAg1B/YHrAdZBwcGwwaNBl4GNAYVBf4F5AW/BZYFdQViBVkFTgU7BR4E9wTQBLUEqASfBI4EdQRbBEcENAQfBA0EBAQAA/EDywOWA2QDPgMcAvQCzAK2ArkCxAK2AoYCRQIQAfIB4AHHAaUBgQFjAUgBKgEHAN8AuACVAHsAawBiAFUAPgAiAA4AB//8/9j/mv9Z/zD/I/8d/wv+7f7O/rP+l/50/k/+Mv4d/gj97v3R/bj9of2G/Wv9V/1P/Uj9M/0S/P39Av0V/Rb8+PzK/KT8jvyA/HX8cPxz/HP8ZPxG/Cf8Fvwa/Cv8P/xH/EL8Nfwn/Bf8BPvr+9L7u/uo+5j7j/uN+477jfuI+4T7g/uC+4D7gPuA+337dPto+2L7Y/tl+2P7Yvtm+2r7avto+2n7cPt3+3n7e/uC+477mvuh+6j7sPu6+8b71Pvm+/j8BvwQ/Bj8JPwy/D/8SvxX/Gn8g/yg/Lr8zfzd/PD9B/0e/TH9QP1R/Wb9ff2S/aP9s/3B/c/93f3r/fv+DP4c/iv+Of5H/lT+Yf5t/nr+h/6T/p3+pf6r/rT+vf7E/sf+yv7Q/tf+3v7l/uz+8v71/vf++/8B/wX/B/8G/wf/CP8G/wL+/f76/vn++P73/vT+8f7t/uf+3/7X/tL+0v7S/tD+zf7L/s3+zf7J/sT+w/7D/r/+tf6t/qv+qf6j/pz+m/6e/qD+n/6h/qf+q/6n/qH+nv6g/qP+o/6k/qb+p/6n/qn+r/61/rv+wv7J/s3+y/7L/tH+3v7r/vb/Af8O/xj/If8s/zv/Rv9L/0z/Tv9R/1P/Vv9f/2z/ef+E/5D/mv+h/6j/tv/N/+H/7f/0//4ACgAUACAAMQBEAE4ATgBQAF0AcQCFAJgAsADKAOAA8QEDARsBOQFaAX4BowHHAe8CHgJRAoMCsQLfAwQDFgMWAxYDJgNDA18DeAOYA8ED6AQGBCUETgR6BKIEyAT3BSkFWQWGBbcF5AYHBioGYQaoBuMHBgcrB2IHkwekB6sH0ggAB8gG8AXeBWUGGQfUCeULlgyWDQgNZQ4cDzcQTBDjEO0QvxCtELgQuRCkEJgQrhDYEPUQ7RC2EEoPpw7ODcoMrAuWCqoJ8AlaCOQIqwi/CPUI+gioCDoICAgsCGwIgghjCC8IAAfOB4gHLwbYBpUGZQY4BgMFxgWMBVYFEQSpBB0DhQL6AoACDQGYASMArQAy/7L/Ov7X/o3+VP4j/fb9y/2g/Xj9Vf05/SL9Ev0Q/R/9Nf1B/T39K/0U/QH8+/0M/TT9Y/2F/ZH9jf2G/YD9e/1//Zj9yv4H/jv+W/5q/m3+XP4w/e79rv2J/YT9mv3B/e7+Dv4P/fT90v23/ZT9VPz2/Ir8HPu5+3n7gfve/Gz88/1D/Uj9B/yn/HL8oP0b/Yn9rv2v/d3+Rv6f/qH+XP4Y/fr96f3G/Z79nf3V/iT+Vf5N/hj93P24/a39pv2Z/Zj9uv32/h7+Df3O/Y39af1h/WX9bP12/YD9hv2G/YX9iP2N/ZL9mf2l/bT9x/3d/fT+DP4i/jj+Uf5s/oX+nv67/t7/BP8l/0L/Yv+I/6//0//1ABwASAByAJgAvgDoARMBOQFbAX8BpgHLAesCCQIrAlACcwKVAroC4AMCAyEDQgNsA5gDuwPaBAEENQRoBI4EpwS7BMsE0wTRBM4E0ATYBN4E5ATtBPYE+wT7BPwFAgUIBQ4FEwUaBR8FIQUlBS0FNwU+BUQFTAVXBWEFbQV+BZQFpwWxBbwFzwXnBfwGCwYcBi4GOwZCBkwGYQZ5BpEGnAaoBrgGyQbXBugG/gcWBykHOgdRB24HjwewB9EH9AgaCEQIcAiVCKYIpAikCLQIzAjZCNoI4Qj4CRMJHAkTCQkJCgkJCPgI2QjACLgIwAjOCN0I7gkFCR4JOwlgCZMJzwoECiAKGwn/CeMJ2gnqCg0KOAphCosKugrwCyMLRQtNCzwLIgsNCwYLDAsbCzALQgs+CxIKvwpeCgQJtgllCQsIrQhVCAMHsgdjBxwG5wbLBssG2gbkBtUGrwaCBlcGLAX+BdYFuQWjBY8FggWDBYoFggViBTcFFgUABOkEyASdBGwEOQQFA9IDmgNYAwsCuQJlAhQB0gGsAaUBqwGpAZoBhQFqAT4A/ACuAGEAHP/e/6n/ff9Q/xf+0f6G/j7+Av3c/dT93/3w/f/+D/4c/hb99P3C/ZL9b/1W/Un9TP1a/Wj9dv2I/Zj9mf2M/Yr9rf3m/hD+G/4c/jT+Y/6T/q/+tv64/tH/EP9t/8gADABJAJkA7QEDALMAKv/E/6j/l/81/nP9n/0K/MP8nPx0/FL8TPxc/Gj8Z/xp/Hz8k/yZ/Iz8f/yB/I78nvyx/NL9E/2W/nP/lACTAO0AZf8z/eH84/xh/Dv8PvxD/EL8Svxp/Jb8ufzK/Nr89v0T/Rf9B/z7/QH9CPz7/N38xPy3/Kz8oPya/J/8pvyf/Iv8dvxl/FT8QPws/Bn8BPvr+9D7uful+477c/tU+zL7DPrn+sP6nPpu+jj6A/nP+Zr5YPkj+Oj4sPh1+Df3+/fE95L3Z/dA9xn26vav9m32KvXu9b31k/Vp9TX09/S59IL0T/Qa8+Tzt/OT82/zRPMU8uXyt/KG8lPyJvIC8eHxvPGR8WXxPfEZ8PXwz/Ci8G/wPPAS7/Tv3u/M77vvq++b74nvfO9373fvde9t72HvVO9H7z3vPO9J717vbu9u71nvLe7q7pXuQ+4M7f3uA+4D7fXt5+3n7fLt8e3c7b7tqO2h7aDtlu1/7WHtTe1N7V/tc+1+7YLtjO2f7bHtvO3E7cztz+3F7a7tlO187WftWO1S7VbtYe1y7Y3ts+3e7gjuMO5W7nfuku6x7t3vFe9P74jvx/AP8FbwlPDS8RrxafGv8eXyDvIq8jHyJvIg8jXyYfKP8rjy5fMg817zj/Ow88rz6vQR9ED0cPSa9L303vUB9SH1OPVR9X31x/Yd9mv2pvbR9vn3K/dw98b4IPiA+P35q/pz+xn7ffu5+/78Wvyp/Mv8z/za/Pr9I/1J/W39lv3G/f/+TP63/zT/sAAaAG0AsADsASsBcwG/AgcCSAKBAq4CxQLEArsCvwLSAucC+gMRAzcDZwOZA8sEAwRABHwEtATvBS8FbAWbBcMF9wY5BngGoAa2BtUHDAdWB6IH5wgmCF4IjgiyCNQI+gklCVIJfwmwCeUKHgpTCoUKtgruCzELgQvPDAcMIgwvDEUMcgyrDOANDA03DWUNmQ3ZDisOjQ7wD1APtxAwEK0RBhEmER0RDxEOEQ0RARDyEO4Q9RD8EQURHxFUEZYR0hIFEj0ShxLbEywTeRPHFBQUVhSHFLAU2hT9FRIVHRUyFVcVgBWXFZgVkhWaFa8VxBXJFbwVphWWFZEVlRWhFbQVzRXjFfIV9hXnFbYVYRT/FLgUnBSRFHcUWBReFJoU5xURFQoU7xTfFOMU8xUHFRQVFRUeFVMVvhYxFlwWGBWQFSIVEBVYFcQWHhZNFlsWWhZQFjUWABW2FWwVMxUNFPQU9RUwFcIWoheVGE4Ymhh0GAQXgxcrFxsXSheIF58XeBcNFlMVQRQPE0MTXRRqFekXOBgIGHAYqRjQGOoY+Bj/GPsY6BjLGLAYmBiAGGYYUBg6GB4X+RfOF6MXexdbF0cXNRcLFq8WJRWMFRQU2hTXFOUU2BSeFEkT/BPGE6AThhODE5oTwBPlFAoUOhRqFIEUcRRQFEAUTxRvFIsUnRSnFKsUqBSeFJMUixRpE+QSmxBrDbwLYgoYCfkKhQsbC20LiAuRC48LdgtECwcKzQqWCl0KGgnOCYAJNgj2CLkIeQgzB+0HqQdmBx8G1gaRBlcGLgYTBfkF2AWtBYMFYwVTBU0FSAU6BRwE9ATMBLQEqgSjBJMEfgRqBFgEQwQvBCwEPQRQBEMECgO3A2oDMwMHAtgCqgKLAoECgQJ2AlcCKwIFAesB2AHCAaMBgAFaATQBDQDmAMAAnQB+AGkAYABbAEwAKwAA/+L/2v/W/7//jP9R/yj/F/8L/vT+1P62/p/+h/5l/jv+Fv39/ez92P2//aj9lP1//Wb9UP1F/UL9NP0V/PT85fzq/O784PzE/Kz8m/yH/G38V/xR/Fb8WfxP/Df8G/wF+/78BvwU/Br8FfwK/AP7//v8+/b76/va+8P7rvuh+5z7l/uQ+4j7hfuF+4b7hfuB+3v7cftn+2P7Zftp+2n7Zvtn+2v7bPtq+2n7bvtz+3T7c/t3+4D7jfuV+5r7n/uo+7X7xPvU++b79vwC/A38Gvwp/Dj8RvxT/GP8evyY/Lb8zfze/PD9Bf0d/TL9Q/1T/Wf9fv2T/aP9sP29/cr91/3l/fT+Bf4V/iP+Mf5A/lD+Xv5p/nX+gf6N/pT+mf6h/qv+tf67/r/+xP7L/tT+2/7h/uX+5/7o/ur+7/70/vf+9/74/vr++/75/vf+9f70/vH+7f7r/ur+6/7q/ub+4P7X/tH+z/7P/s/+zP7M/tD+0f7N/sj+x/7I/sX+vP61/rX+tf6w/qn+pv6n/qn+q/6w/rf+uP6z/q3+rP6u/q/+r/6y/rj+vP69/r/+w/7H/sv+0f7Z/t3+3f7g/ur++f8F/w//Gf8l/zH/Ov9E/1D/Wf9d/1//Y/9p/23/cf93/4L/j/+c/6n/sv+3/7z/yP/d//IAAAAKABQAHgAnADUASABZAF4AXQBjAHQAigCcAKwAwADYAO0A/gESAS4BUAFzAZkBvQHhAggCOgJ1Aq4C2QL0AwADBQMMAx4DOANNA1gDaAOLA7oD4QP7BBkEQgRsBJAEtgToBRwFRgVsBZ0F1gYDBioGYAapBuYHAwccB08HiQelB68H0wgBB9QHBQXxBW0GEwfFCc0LcgxaDK8M9Q2mDs0P+BCpEMsQthC2EMMQtRCPEH8QmBC7EMQQqBBtEA8Pfg6zDbYMmAt7CoIJwAkrCMEIlAiwCOgI6giTCCYH/ggwCHcIighiCCoH/gfOB4IHHQa6BnMGTAY0BhUF5QWqBWoFHASuBCQDkgMQApsCJQGoASoArwA0/7j/R/7u/qr+cv4+/g/95P28/Zj9ev1l/VD9Of0o/Sj9OP1J/VD9SP04/SX9Gf0g/T79a/2X/bn90/3k/ez96P3g/eX+Af4q/lP+cv6H/o/+hP5i/jb+Ef32/d39wP2x/bz90/3Y/cP9qv2f/Y79U/zn/Gz8BPu4+4r7hvu9/CL8ivzJ/Mb8hfwq+/L8Dfxv/Nb9Df0q/WT9yP4h/jf+FP3s/dn9yP2k/YH9gv2x/fD+GP4V/e/9w/2n/aH9oP2Y/ZL9o/3G/d/90f2m/Xz9av1q/W/9c/18/Yf9jf2N/Y39kv2Z/aD9qP21/cj93f31/g3+Jf46/k7+ZP59/pj+s/7Q/vP/F/84/1b/d/+d/8L/5AADACcAUAB6AKEAxwDuARUBOQFaAX0BogHGAecCCQIvAlYCewKfAsUC6QMJAyUDRwNyA5wDvAPaBAMEOQRsBJAEqAS9BM4E1gTUBNQE2QTgBOAE3wTlBPAE+AT5BPsFAgULBRIFFwUdBSEFIwUkBSoFNQU/BUcFTwVbBWkFdwWJBZ4FrwW6BcUF2QXyBgkGGgYqBjoGRgZLBlMGZgZ/BpsGqga5Bs0G4Qb0BwcHHAcxB0QHWQd1B5cHvAfhCAcIKwhMCGsIjAinCLMIsAi0CM0I8wkNCRUJGwksCTgJKAj+CNYIyQjPCNMIygi8CLUItQi4CMEI1wj3CRgJNQlUCYEJwAoACiwKNwonChAKBwoUCjYKZgqbCtELBQsyC1YLawtwC2cLWAtPC1ALVwteC2YLawthCzcK7QqUCkAJ8QmZCTYI0gh3CCIHywd1BysG+QbkBucG9gb7BuoGxwagBnwGVQYnBfsF2AW/BawFoQWlBa0FpAWDBVgFMgUTBO8EwwSTBGUENwQKA+ADtAN/A0MDCQLXAqcCegJbAlECUAJAAhEBzwGKAUcBBQDEAIkAVwAsAAP/1P+b/1b/C/7C/of+YP5S/lX+Xf5f/mL+bP5y/mD+Nf4G/ez95P3d/cv9t/2t/bD9vf3P/dz93P3V/dr9+P4l/lD+cv6U/rz+4f79/wr/CP8E/xf/XP/EAB0ARwBiAKEA9QEMAK4AE/+v/6X/o/8//nr9tP09/Q385/y0/Iv8hvyY/KX8pvyv/MX82PzX/Mb8ufzA/Nb88f0M/Sn9XP3L/pz/vADEAS8Auf+a/lT9WPzF/ID8Zfxj/Hr8pfzU/Pb9Bv0T/Sz9TP1e/VX9Qf05/T/9P/0s/RD8+vzu/OL81fzO/ND80PzE/LH8ofyX/I38gPxu/Fj8P/wn/BP8A/vw+9f7ufuZ+3b7UPst+w366/rA+oz6Vvoh+ev5sfl2+T75CPjR+JX4Wvgi9/P3zPen93v3RfcG9sX2h/ZO9hv17vXA9Yv1T/UU9N70qfRy9Dz0D/Pq88XzmPNm8zTzA/LR8qPyfvJh8kHyGvHt8cDxlfFu8UrxJfD88MzwnPBy8FDwNvAf8A3v/O/s79/v1u/U79Pvzu/C77Hvne+J73vveu+G75Xvoe+i75bvc+8x7tjuhO5R7kPuQ+447iLuE+4W7h/uGO377dbtve217bPtre2a7YLtce1x7YHtlO2f7aXtsO3D7dXt4e3o7evt5u3V7bzto+2K7XHtXu1X7V3tbO1+7Zftuu3g7gbuLe5Y7oTuqu7L7vHvHu9Q74rvz/Ac8GbwqfDx8Ufxo/Hv8iHyRPJX8lHyM/IZ8iLyTPJ+8qfy1PMS81fzjfOq87zz1PP49CH0RPRe9HX0lvTF9PP1E/Up9Un1gvXO9hv2W/aP9r729/dG96z4H/iZ+ST5yvp7+xH7e/vT/DT8kvzD/L38qPyz/OT9G/0+/VL9Z/2J/b3+Cv51/vH/av/QACEAYQCbANUBFAFYAZ8B6AIyAnIClAKTAoECegKFApgCqQK8AtoDAgMvA10DkQPKBAUEQwSIBNEFEgVCBW0FpQXqBiYGSwZiBocGxwcVB1oHkAe+B+cIDAgwCF0ImwjlCSoJYgmRCcUKAwpECnsKowrGCvULNgt/C7kL3Av1DBgMSgx+DKkMzQz1DSINVw2WDekOTA6wDw4PcA/iEFcQrxDVENYQ0xDYENkQzhDCEMMQyxDNEMwQ3hEPEVERiRGyEd4SGhJiEqsS9BNHE6IT9RQzFGMUjxS7FNwU7xT/FRkVPBVaFWgVaxVtFXcVhRWMFYcVdhVlFVwVXxVtFYIVmRWuFb8VyBW/FZQVRhTtFKoUhBRhFC8UAxQJFEoUnBTOFNcUzxTKFMUUwRTIFOMVARURFSQVWhW2FgAV+RWcFSkU8RURFWcVuBXkFfUWBBYbFiYWCxXHFXAVJxT2FNUUvhTEFQkVoRZ3F1cYChhrGGMX/RdqFvYW2BcFF0UXaBdWFvUWJBTzE9MTYxPwFTUWkxeUGCIYZBiGGJ4YshjEGMwYvxiiGH0YWxg/GCgYFhgEF+4X0he0F5YXdhdVFzIXBRa6FkcVuBUzFN4UwxTOFNMUshRqFBoT4RO/E6MTihOCE5kTwxPwFBoURhRtFHsUaxRQFEoUXxSAFJwUqxSxFLEUqhScFIUUWBPvEwYRXg8HDIgKrAnzCjYK2QtVC4cLmAujC58LewtBCwMKywqUCloKHAnaCZQJTwkOCM4Ihwg6B/IHtgeABz4G7QaaBlgGLQYQBfAFxwWaBXIFVQVEBTsFNgUsBRQE7gTIBK4EogSaBI8EggR1BGQESwQ2BDkEWgR6BHIEMQPRA3YDNwMKAuICtgKLAmUCRwIvAhoCBgHyAd4BzAG7AaQBhAFaASoA+wDQAKoAhQBjAEwAQwBDADkAGf/q/8L/sf+t/53/eP9H/x7/BP7v/tb+tf6V/nv+ZP5J/ib+A/3q/dr9y/22/Z79iv14/WX9Tv08/TT9Kf0P/Oz80vzK/Mr8xPy4/K38o/yN/Gr8Sfw8/Ef8Wvxh/FP8MvwN+/X78fv6/AD7+fvs++f78PwB/BD8FvwP+/r74fvN+8H7tvul+5L7h/uG+4n7ifuF+4D7ePtx+237b/t0+3b7dft1+3f7evt6+3j7eft7+3r7dvt2+3z7hvuN+5D7k/ua+6b7s/vB+9H75Pv0/AL8D/we/C/8P/xO/F38cfyM/Kn8xPzY/Or8//0V/Sv9Pf1N/WH9dv2K/Zr9qP21/cL90P3f/e/+AP4Q/h3+K/48/k7+Xf5o/nL+ff6H/o7+k/6b/qb+rv60/rn+wf7K/tP+2f7d/t/+3/7d/t/+5P7p/uv+7P7u/vH+8P7u/uz+7P7s/uj+5P7h/uD+3/7e/t7+3P7Y/tP+0P7Q/s/+zP7M/s7+0P7N/sr+y/7M/sn+wf68/rz+vf67/rX+sv6z/rT+tv65/r3+vf65/rb+uP66/rv+vP7B/sn+zf7O/s/+0v7U/tj+4P7q/vD+8/74/wT/FP8h/yn/Mv8+/0n/Uf9a/2T/bf9x/3P/d/9+/4P/hf+K/5L/n/+t/7z/x//N/9L/3v/vAAEADwAaACUAMQA+AE0AXgBrAG4AcQB+AJQAqgC6AMsA4AD0AQQBFQEvAVABbwGMAa4B1gICAi4CYQKeAtgC+wL7AucC2ALoAxYDRgNbA1sDYQOCA68D0QPoBAkEOARhBH4EoQTYBRMFOgVUBX8FvQX3BiYGXwanBt8G9wcIBzkHeAeeB68H1QgEB9cHBwXuBWQGAwerCasLSQwyDIoMzQ10Do8PthBzELAQuxDPEN8QyhCeEIoQmBChEIwQZBA4D/EPbQ6jDaIMgwtjCmIJmQkJCKoIhAicCMkIxAh2CBoIAwg9CIAIiwhfCCwIBQfTB30HCQaaBk4GLAYkBhsF/AXFBXoFHQSqBCcDogMoArUCOAGwASkArAAz/8D/Wv8L/sz+kf5Y/ib9/v3a/bf9m/2I/Xf9Xf1C/Tb9Pf1P/Vv9Wv1Q/UD9Mv0x/UL9ZP2T/cn+BP43/lL+UP48/i3+NP5P/m/+if6b/qb+ov6O/m7+Tf4t/gj94f3I/cf9zv3F/av9nf2m/aT9Zfzo/GD7//vL+637nfun+9D7//wX/BH79vvX+8j73fwT/E78cvyI/K/88/04/WD9av1x/Xv9ff1t/V39ZP2C/aX9vP3A/bb9p/2e/Z/9o/2e/ZH9jP2U/Zv9kv19/W79bv10/Xb9d/1+/Yn9kP2Q/ZH9mP2i/av9tv3G/dv98v4I/iD+OP5O/mL+df6N/qf+xP7i/wP/Jv9I/2j/i/+x/9f/+AAWADYAXACEAKsA0AD1ARkBOgFbAX4BogHGAeoCEQI5AmEChQKqAtAC9AMRAy4DUQN8A6MDwwPjBBIETAR9BJsErQS/BM8E1QTRBNAE2ATeBNwE2ATcBOgE8wT2BPcE/QUFBQoFDQUTBRoFHwUhBSYFMQU9BUcFUgVhBXMFhQWWBagFuQXHBdUF6AYBBhgGKQY4BkcGUwZbBmQGdAaJBqsGvAbMBt8G9AcKBx8HNAdJB2AHewebB8AH5QgLCDAITQhhCHEIhwijCLsIyQjbCPwJJQlACUUJRglQCVYJPQkCCMcIrQi1CMQIyQjCCLsIuAi4CL8I1Qj3CRkJNAlPCXsJvAoACjEKRQpECj4KQQpSCnEKnwrcCx8LVgt2C4MLhwuMC5ELlAuVC5ULjwuAC2wLWAtDCx8K5gqjCl4KFAm7CVQI7AiOCDQH2geEB0AHFgcGBwoHFgcbBwwG6wbFBqEGewZPBiMGAAXmBdIFxgXFBccFuQWWBWsFQwUdBPEEvQSNBGQEQQQeA/0D3AO5A5QDeANmA1UDOwMaAv4C4AKtAlsB9QGVAUgBDwDnAMkArgCNAGIALP/t/6n/Y/8j/vH+1P7J/sj+w/65/rL+sf6q/o/+aP5S/l7+e/6G/m7+Q/4h/hP+F/4h/in+Kv4n/in+Of5a/ov+xv7//yr/Qv9Q/1n/VP9F/07/lQAMAHEAlgCgAM0BEwEaAKwADP+x/7T/sP9C/nv9xv1p/Uj9Jfzx/M38z/zj/O387vz3/Qj9Ef0L/QD9AP0P/Sb9Qf1e/Xj9mf3i/nj/VgArAIkANv9Y/lr9lP0g/Or82fzi/P/9IP02/Tv9Qf1Y/Xz9mP2a/Yj9eP12/Xn9cf1c/UX9Nf0o/Rj9CPz+/Pn88vzm/Nr80/zQ/Mr8v/ys/JT8fPxp/Fr8S/w0/Bf7+PvY+7b7kvty+1f7OfsQ+t76qPpz+j36BPnJ+ZD5W/kl+O34tPh/+FL4LfgI99j3nPda9xz24/as9nf2RPYT9d/1p/Vu9Tj1APTH9JL0ZvRB9Bnz6fO084DzTfMd8vby2fLA8p/ydfJG8hnx7fHD8ZzxefFT8Snw+vDO8KnwjPB08GDwTvBA8DfwM/Ay8CzwH/AN7/nv4e/K77rvuu/G79Pv3O/h797vxO+D7yTuyu6T7oLue+5n7kvuOu487kPuN+4X7fDt1e3K7cntw+207aDtke2R7aDtsu2+7cXt0e3i7fPt/+4F7gPt9+3h7cftsO2Z7YHtbe1n7XDtgO2R7ajtyO3s7g/uM+5e7o/uvO7i7wXvLe9c75bv3PAp8HHwt/EL8XXx5PI68mzyg/KH8nHyQ/Ia8hbyOfJo8pPyxPMJ81jzlvO288Pz0/Pu9A30IfQr9DT0T/R99LL03fT79R31T/WN9dD2EPZP9pD22vc597X4Rvjd+XP6CPqV+w37c/vc/Ez8pfzB/Kb8i/yg/N79G/05/T/9Rv1c/Yb9yv4r/p7/Ev93/8sAEQBNAIMAuQD1ATwBjgHoAjUCXwJgAkoCOgI8AkkCWAJqAoQCqALQAvoDJwNVA4gDxQQSBGkEtgTwBSEFXAWfBdsGAgYgBkkGhAbBBvAHDQckBzsHVQd3B60H/QhbCLAI7QkcCVEJmQnqCjEKYgqFCqwK4wskC10LiQuxC+MMHgxWDIAMoAzDDO0NHw1cDawODA5wDs4PKg+RD/oQURCBEJMQmxChEKAQlRCLEIsQjhCMEIsQoBDREQ8RQRFlEYwRwBIAEkAShRLZEzsTmRPiFBcURhR2FKEUvhTNFNsU8RUOFSwVQRVMFU8VUhVUFVQVTBU8FS0VKhU2FU0VZhV7FYoVjxWCFVsVHhTcFKUUdBQ7E/gTyhPRFAYUQhRoFIEUoBS+FMUUsxSpFL4U2BTTFLUUuhUJFX4VvhWZFTQU5xTmFSAVXRV7FYQVlRW2FdUV1xWvFWsVIxTsFMcUrRScFKUU3xVXFggW3ResGDkYThfuF1sW7BbIFt4XChcyFy8WxhXXFKUTxROyFHMVoBa+F4wYAxg8GFQYYhhzGH4YdxhbGDYYFRf+F+0X3RfKF7cXqRefF40XZhcoFtwWiBYoFboVTRT5FMwUwBS5FJsUYBQYE98TwROxE5wThxOEE6ATzRP5FCEUSRRrFHYUZhRSFFEUahSOFKsUuRS1FKcUmhSMFGoUCRM2EcsPyA12C2YKLwoECokLJwuAC5wLqgu2C6gLdws4CwAKzwqZClwKIAnlCaQJXQkXCNIIiwhBB/4HxweSB04G+QaiBl4GLgYJBeEFtAWIBWQFSAUzBSMFGQURBQIE5gTDBKQEkgSJBIQEfgR3BGkEUAQ2BDEERgRdBFUEHgPKA3kDPgMZAvwC2QKmAmcCKQH+AesB5QHbAcsBugGuAaABhwFfAS0A+wDOAKUAfQBWADUAJAAfABoABf/h/7r/n/+M/3f/V/8w/wv+7f7V/r7+ov6A/l7+Qv4r/hL99P3Z/cn9wf2z/Z39hf1z/WL9TP02/Sn9IP0O/O/80fy//Lj8s/yq/KP8mfyD/GD8Qvw9/FL8bPx1/GP8P/wa/Ab8CfwV/Bf8Bfvs+9374vv0/Aj8FPwX/A77/vvw++b72vvE+6n7lvuQ+5D7jfuI+4T7gvuA+3z7fPuA+4b7iPuI+4r7jfuO+437i/uK+4n7hvuE+4f7jfuS+5L7k/uY+6H7q/u2+8T71/vp+/n8BvwU/CT8NfxE/FP8Zfx7/Jb8sPzI/Nz88P0G/Rr9Lf0//VP9Zv15/Yr9mf2q/br9yv3Z/er9+/4L/hf+Jf43/kr+Wv5l/m3+d/6B/on+kP6Y/qL+qv6u/rT+vv7I/s/+0/7W/tb+1P7S/tT+2f7d/t/+4P7j/uf+5v7i/uD+4f7h/t/+3f7e/tz+1/7R/tD+0f7R/s/+zf7O/s3+y/7J/sr+y/7K/sn+zP7O/sv+xP7A/sD+wv7A/r3+vP69/r3+vP69/r/+v/6+/r/+w/7G/sf+y/7R/tf+2f7Z/tz+4P7j/uf+8P7+/wf/C/8P/xn/KP80/z3/R/9S/1z/Y/9r/3b/gP+H/4r/j/+T/5f/mf+e/6f/sv+//87/2v/i/+n/9AADABMAHwApADUARABVAGcAdgB+AIIAiQCaAK8AwADSAOoBBQEYASIBMQFPAXIBiwGeAb8B8gIpAlYCgAK0AusDCgL6As0CrwLFAwcDSQNjA1wDXQN8A6UDvwPSA/cELQRXBG4EjATIBQoFMQVFBWkFpgXnBhwGVgabBs4G4AbvBx4HYQeNB6YH0ggDB9MG/wXjBVUF8AeVCZgLRQxFDK8M8Q2CDoEPmRBcELMQ1xD5EQoQ8xDJELQQrRCTEGMQPRAmD+4PXw58DW8MWAtGClAJjwkLCLkIkQiRCKAIjQhICAMH/gg6CHYIfAhVCC0ICwfTB3IG9waFBjYGEgYPBhUGCQXXBYIFFASbBCEDrAM9AscCPwGuASMApgAx/8T/af8j/uj+q/5t/jz+Gv38/dr9uv2i/Y/9d/1d/U/9U/1h/Wn9Zv1c/VD9SP1I/VL9Zv2L/cX+Ef5e/pD+mv6H/nL+cf6E/pv+q/6w/rL+sf6l/oj+Xv4z/hH9//38/f398P3M/aX9nf20/bj9dfzv/Gb8EPvt+9f7vvuu+7D7tfux+6z7uPvU++/8APwN/B38K/w4/Ez8bvya/MT86f0M/Sr9Ov0//UX9Vf1o/XX9fv2K/Zb9nf2f/aP9p/2j/ZT9hP18/Xr9dv1w/W/9df15/Xj9eP1+/Yn9j/2O/ZD9mf2m/bL9wP3S/ej9/f4P/iP+Pf5X/m7+g/6b/rb+1P70/xb/OP9a/3v/nv/E/+kACwAqAEoAbQCSALcA2wD9AR4BPwFhAYMBpwHMAfMCHQJGAmwCjgKyAtkC/QMcAzsDYAOKA7AD0AP1BCgEYASLBKEErAS8BMwE0QTMBMgEzgTWBNYE0gTWBOME7gTxBPEE9QT6BPsE/QUEBQ8FGQUfBScFMgU+BUgFVAVmBXsFjQWcBawFvwXRBeEF8gYGBhwGLgY/BlEGYgZwBnwGiQaaBrsGywbbBu0HAgcaBzIHSgdjB38HnwfDB+UIBwgoCEcIXQhmCG0IgQiqCNoJAwkiCUEJXgltCWwJaglzCXoJYwkoCOcIwQi+CMkIywjECL8IvwjECM0I4Aj9CRsJNAlRCYAJxAoLCkAKWQpkCnEKhgqfCrkK3QsVC1YLigufC5oLlQueC7ILxQvOC8oLtAuLC1ULIwr8CtwKugqRCl8KHgnICWII+wibCEEH6QedB2cHSgdAB0IHSwdOBz8HHAbxBscGoAZ2Bk4GLgYWBgIF8gXrBeQF0AWpBXwFUwUqBPoExASVBHEEUwQ2BBgD/wPsA94D2APXA9QDwgOhA3QDOALjAnUB/wGZAVEBKAEXAQ8BBADoALwAhQBKAAv/zP+R/2T/SP84/yr/Gf8H/vn+7P7X/rX+mf6f/sv/AP8V/v3+zf6j/ov+gv6A/oP+hv6E/nz+ef6N/sX/Ff9e/4f/lv+h/63/qf+U/5f/4wBnANcA/gD/ARoBSAE0ALgAHP/L/8z/t/84/nX91v2O/Xb9VP0o/RP9HP0t/TD9L/01/UD9Qf09/UD9Uf1n/Xr9jf2m/cL92/4B/lH+z/9Q/43/W/7P/iv9rP1n/U/9Uf1h/XX9gP17/XT9f/2i/cr92/3O/bX9pv2k/aD9kv2B/XX9bv1m/Vr9T/1F/Tr9K/0f/Rn9F/0S/Qn8+vzn/NH8vPys/J78i/xv/FD8M/wX+/b71Pu1+5z7f/tY+yj69vrD+o76Vfob+eP5rPl2+UH5DPjZ+Kz4hfhf+C337/es92/3OvcI9tP2nvZq9jb1//XH9Y/1VfUb9Oj0vvSY9Gz0OfQB88vzmvNv80/zNvMb8vbyyPKa8m7yQ/IY8fDxzfGp8YDxUvEl8P7w4PDK8Ljwp/Ca8JHwjvCJ8HzwZ/BR8DvwI/AL7/3v//AO8BvwI/At8DLwHe/Y72/vCu7N7rfurO6T7nHuW+5X7lnuTO4t7gnt7+3k7eHt3e3Q7b3tr+2v7bztzO3X7d/t6u377gzuF+4a7hPuA+3s7dPtvu2o7ZHtf+187YjtmO2o7b3t3O4C7ibuSe5v7pvux+7u7xXvP+9v76Xv4/Ak8GTwq/EJ8YPyBPJs8qjyv/K68pbyWfIg8gzyIvJO8oDyvfML82LzpfPI89Tz3PPq8/r0BPQF9Af0FvQ59Gf0lfTA9O/1JPVb9ZL10PYb9nL20vdF99b4gvkz+dH6Ufq4+w/7afvS/EL8mPy1/Kb8mvy4/Pb9Kv0+/Tz9Ov1E/WD9kf3d/kD+q/8S/3H/wgAAADAAXACRANgBNQGaAfECIwIqAhcCAwH8AgACCQIZAjMCVAJ4Ap4CwwLmAwoDQAORA/YEVQSdBNUFDAVIBYEFrQXTBfwGKQZNBmIGaQZvBnoGjgayBu4HQgehB/UIMwhmCKUI+QlaCbUJ+wouClsKjwrICv8LMAtkC6IL5gwjDE4MbAyMDLMM5A0fDWgNwQ4jDoMO4A89D5wP7xAqEEkQVRBYEFUQUBBKEEUQPxA5ED8QXRCREMkQ9REXET4RcRGrEekSLBJ/Et8TPhOME8gT+hQsFFoUfRSQFJgUoxS8FOQVDRUnFSsVJBUeFR4VGRUKFPcU7hT2FQ4VKxVEFVEVThU4FRMU6BTAFJgUYxQcE9gTuBPKE/MUEBQbFDIUZhSeFLAUmBSCFIgUkRRxFDQUJRR/FRsVihWAFRwUwBSwFN0VERUoFS4VORVSFWwVexV1FVYVIxTsFMEUphSUFIYUhRSnFQQVqBaIF24YDRg0F+8XehcRFtAWvhbZFwUW/RZ9FYYUdhPKE80UdBV3FoEXUxfSGAoYHBglGCgYHxgIF+0X2hfPF8MXqheIF2gXVhdNFzYW+xaeFjgV2xWOFUkVDhTmFNEUvhScFGIUHhPkE8ITsROgE4oTfBOJE60T2RQAFCYUUBR0FH4UbhRZFFYUbBSRFLIUwRS1FJsUhhR4FEETlxJDEFAODgv1CoQKAApMCu8LcQumC7MLvwvGC6wLcAsvCvwKzgqTClEKEwnbCZsJUAkFCMAIgQhDCAcHzweVB00G/AasBmkGNAYFBdYFqAV9BVkFPAUiBQsE+gTxBOsE2wTABKAEhwR5BHMEbwRqBGAETQQ1BCIEGwQYBAgD4AOmA2wDPwMiAw8C9QLCAnQCIwHqAdMBzgHEAbEBoAGXAZEBgAFfATMBAgDTAKoAhQBhAD4AHwAJ//r/7f/d/8X/pf9//1f/Nf8a/v/+4/7J/rT+nP57/lH+Lf4U/f794P3C/bD9rv2r/Zz9hv1y/WL9Tv07/S79J/0X/Pn81vy9/LL8qvyi/Jn8jfx2/Ff8QfxG/GH8d/x0/Fb8LvwT/BL8KPxC/ET8KvwD++f74Pvk++j76/vv+/L78vvx++/76PvX+8D7rvum+6L7mPuL+4L7g/uH+4f7h/uK+4/7k/uU+5X7mPua+5n7mPuY+5r7mvuZ+5r7nfug+6D7oPuj+6n7svu7+8f71vvm+/b8BPwS/CD8Lfw7/Er8W/xu/IX8nPyz/Mr83/z0/Qn9Hv0x/UT9V/1o/Xj9iv2d/bD9wf3Q/eH98/4C/g/+HP4t/j/+T/5a/mP+bv54/oD+iP6S/pz+ov6n/q3+t/7A/sX+x/7J/sr+yP7G/sb+yv7N/s7+0P7V/tn+2f7W/tX+1f7U/tP+1v7a/tv+0/7K/sX+xv7H/sX+xP7F/sf+x/7G/sb+x/7I/sr+zP7O/sv+xv7E/sX+xf7C/sD+wf7D/sP+wv7B/sL+w/7F/sj+zf7S/tb+3P7i/uX+5P7k/un+8P71/vj/Af8P/xr/Hv8h/yn/Nf9B/0v/Vf9g/2n/cf96/4b/kv+b/6H/p/+r/63/sP+2/7//yv/W/+P/7//3//4ACAAXACcAMgA7AEcAVwBqAHwAigCRAJcAogCyAMIAzQDfAP0BHQEuATQBQgFjAYYBmwGuAdYCFgJRAnEChQKoAtwC/wLyAsICogK8AwUDSQNgA1QDVQN2A50DsgPAA+QEHARHBF0EeQS1BPsFJwU/BWQFowXkBhkGUAaOBrwGygbZBwoHTweBB54HzQf5B8IG5wXHBTcF1AeGCaULegyaDQwNOg2kDn8PhRBOELkQ8xEgETERGRDxENcQvxCPEFgQQxBCEAUPTA42DQ8MBAsRCjgJjwkkCOUIuwigCIkIYQggB+sH7wgjCFMIVAg1CBYH+Qe/B18G7AaGBjsGEQYIBhMGEQXlBYUFBASBBA0DqgNHAtECQgGrAR8AowAv/8T/b/8z/v/+w/6D/lP+OP4j/gT94P3A/af9jv15/XD9df1+/X79c/1l/Vv9W/1j/W79ev2Q/b3+Bv5b/p/+vv68/rH+sP6+/s3+zf6+/qz+pP6d/of+Xf4v/hX+Fv4h/hv99f29/Zb9nP2+/cT9fvz6/Hj8KfwI+/H71vvG+8r70PvJ+8T72/wI/Cv8Mfwn/Cf8N/xL/Fz8bfyF/KP8xvzo/QP9Fv0m/Tv9U/1l/Wz9cv2C/Zf9o/2j/aH9of2e/ZT9hv1+/Xz9e/14/Xj9e/18/Xn9eP1//Yr9j/2P/ZP9nv2u/b39zf3g/fX+Bv4V/iX+Pf5a/nb+kf6t/sv+6v8L/y7/UP9y/5L/tP/X//sAHgA/AGAAggCkAMYA6AEIAScBSAFpAYwBsQHWAf8CKgJTAnYCmAK8AuMDCgMtA1ADdgOeA8ID4wQHBDUEYwSDBJEEmwStBMIEywTGBMAExATOBNIE0gTWBOAE6gTtBOwE7gTxBPIE9AT9BQ0FGwUlBS4FOQVEBU4FWgVsBYIFkgWdBawFwgXaBeoF9gYEBhcGLQZEBlsGcgaGBpQGngarBsYG1wbqBv4HFgcxB0sHZQeAB6AHwwflCAQIIAg8CFgIbAh0CH0ImAjNCREJSwlvCYMJjwmVCZUJlAmXCZUJfAlFCQYI2gjLCMsIxwi9CLkIvwjKCNYI5gj9CRgJMwlSCYMJygoYClUKdgqHCp0KvQrfCvkLEws7C3ALnQuuC6kLpgu3C9UL7wv5C/ELzwuSC0AK7wq2CpYKgwpuCksKEQm/CV4I/gijCE4H/ge/B5oHigeDB4EHhQeGB3YHUAceBu0GwgacBnoGYAZKBjQGIAYTBggF8gXLBZwFcQVKBRwE5wS2BI4EbARJBCkEEwQNBA8EFAQTBAsD+APaA6oDXwL0AnYB/gGiAWoBTwFIAUkBQwEuAQwA4gCxAHcANv/6/87/sv+d/4X/af9Q/zz/Jf8G/uL+0P7k/xj/S/9d/0z/LP8S/v/+7f7g/t7+5v7l/tH+uv7B/vz/Wf+u/9//9QAJABoAFgAAAAgAXADkAU8BbQFjAWsBegFOAM4AQf/4/+f/sP8g/mz97f27/aX9hP1i/Vr9Zv1s/Wb9Yf1p/XP9c/11/Yb9pf2+/cn90v3n/gX+H/40/lH+f/6z/s3+tf5u/hf90v2w/an9r/22/br9tv2u/a39wv3q/gz+Ef37/d79zP3C/bb9p/2f/Z/9oP2g/Z79nP2U/YT9cP1k/WD9XP1S/UP9M/0i/Q38+fzn/Nb8vvyi/If8cvxa/Dn8Fvv4+9/7w/ud+3H7QvsQ+tv6pPpu+jf6APnJ+ZX5ZPky+QP42Piv+H34P/f898D3jfde9y32+/bH9pD2V/Ye9eX1q/V09UL1GfTv9L/0hvRN9Bnz7fPI86rzkPNw80bzF/Lr8sLymPJu8kbyI/H/8dXxpvF68VTxN/Ej8RPxBPD08Ofw3PDQ8Lzwo/CM8HjwYvBM8EDwR/BX8GbwcfB+8Ifwb/Ah76zvP+8B7uzu3+7C7pnuee5u7mzuYe5H7ifuD+4E7gLt/u3z7eLt1O3U7d/t7O3z7fjuAu4U7iTuLO4o7h3uC+327eHtze237aDtke2R7Z7tr+2/7dPt8+4b7kHuZe6J7q/u1e787ybvVe+E77Hv3/AQ8EnwjvDr8WLx5fJZ8qvy1/Lc8rjyc/Is8gTyCvI18nXyxfMe83PzsPPP89nz2vPd8+Hz5fPm8+bz7vQD9CX0UPSC9Lv09vUr9V/1ofX79mj23fde9/v4tvlz+hD6fvrK+w37XPu9/CX8evyn/LX8wvzl/RT9OP1C/T79PP1C/VT9df2s/fj+U/62/xj/b/+x/94AAwAzAHsA3AFHAaQB3wHyAekB1wHJAcEBwgHPAeQCAAIfAkECZAKBAp4CygMYA4MD8QRJBIYEtgTlBRQFQAVpBY8FrwXDBckFyAXHBdEF6gYXBlkGqQb5Bz0HdQevB/gIVwjCCSwJhgnPCgsKQQp0CqUK2AsRC1ULnAvaDAUMJAxEDG8MowzcDR4Nbg3MDjAOjw7nDzsPiw/MD/YQBRAFEAMQBBAED/wP7A/hD+0QExBGEHUQmxDAEOwRIxFeEZ4R5BIzEooS4RMwE3UTsBPmFBQUORRPFFYUWxRuFJcUyhTwFPwU8xTnFOAU2hTMFLkUrRSyFMgU5RUAFQ0VBhTrFMYUqBSVFHsURxP9E78TshPTE/sUAxPyE/QUGxRNFFwURRQuFC8ULxQHE8oTyBQ3FOYVWhVEFM0UZhRYFJEU0BTwFPoVAhUMFRQVHhUrFS0VEhTgFK8UkhSGFHwUcBRvFI4U4hV7Fk4XLRfUGBYX8xeRFx4WxRajFrcW1xa7Fi8VPxQ5E4cTdhQQFRoWMhcIF4QXvBfQF9IXxReuF5YXhhd3F2AXNhb9FsUWnRaDFmAWIRXLFXsVRxUrFRcVABTmFMsUpxR1FDgUAhPeE8gTshOVE3oTdROOE7cT3RP+FCcUWRSCFIwUeBRfFFgUaBSJFKwUvhSyFJMUehRfE/8S+BEjDsUMcwrBCf4KFwquC00LqgvGC8wL1gvSC60LbAstCvsKxgqDCjsJ/QnGCYgJPQjxCK8Idgg/CAcHyweLB0QG/Qa5BnoGPwYIBdYFqAV9BVQFMwUYBP4E5wTYBNQE0ATABKQEhwRzBGYEWgRNBEQEPQQwBBsD/wPjA8YDpQOAA1gDNQMcAwwC9ALDAnUCIgHmAcsBvwGuAZQBfgFzAW8BZQFOASoA/QDOAKYAjAB6AGMAPgAP/+n/2P/a/9n/wP+J/0v/Hv8J/vr+4f6//qP+jP5u/kT+Gv39/ef9y/2r/Zj9mP2c/ZX9gv1u/V79Tf09/TP9LP0b/Pn80vy3/Kv8pfyg/Jv8kfx8/F38R/xH/Fn8Y/xU/C/8Cvv5/AX8KPxJ/E78MvwI++r73vvX+8r7vvu9+8b7z/vR+877yfvD+7r7tPuz+7D7pPuR+4P7gPuG+4v7jPuN+4/7kvuT+5T7lfuX+5n7mvuf+6X7qPup+6n7q/uu+7D7sfuz+7n7wvvM+9f74fvs+/r8CfwZ/Cb8Mfw9/Ev8W/xt/H/8kvyn/Lz80vzo/P/9FP0p/Tv9TP1c/Wz9fv2R/aX9uP3I/dj96P34/gX+Ev4h/jH+QP5M/lb+Yv5s/nX+ff6G/pD+lv6b/qL+rP60/rj+uv68/r3+vP65/rn+u/69/r7+wP7E/sj+yv7K/sv+y/7J/sf+yv7Q/tL+zf7E/sD+wP6//rv+uf67/r/+wf7C/sP+xf7I/sv+zf7M/sn+x/7I/sn+x/7D/sH+xP7I/sr+yf7K/sv+y/7M/s/+1f7c/uP+6/7x/vP+8P7w/vj/AP8F/wj/D/8b/yX/Kv8u/zj/RP9P/1n/Y/9u/3j/gv+O/5r/pP+r/7P/vP/C/8X/x//M/9T/3v/o//YABAANABMAGwApADkARQBPAFsAaQB7AIsAmAChAKkAuADKANcA4QDxAQ0BKQE3ATwBTQFwAZMBqgHFAfkCPgJvAncCcQKGArsC5gLkAsACqwLKAxADSQNWA0gDSwNtA5UDqAO0A9QECAQzBEwEbASoBOwFHQU+BW0FsAXwBiIGUwaJBrAGvAbMBwEHSwd/B50HxQfkB54GugWYBQwFtAeACcsLzA0DDWkNcA2uDmMPUxAYEJIQ5hEqEUgRMREFEOYQxxCUEGgQaxB5ECYPMQ3WDIwLiwq9CgoJggk2CRII8gjHCJYIXQgcB+sH5ggECBwIFAf4B+IHzAecB0sG7wabBlgGJwYSBhcGFwXrBYME8wRkA/MDnQNJAtoCSwGyASUAqAAy/8j/eP9F/xv+5P6k/nP+Wv5I/i7+Cf3l/cf9rf2a/ZL9lP2Z/ZT9h/11/Wr9a/15/Yr9l/2k/cT+AP5S/p/+0v7l/uT+4v7p/u/+4/7A/pX+e/51/m3+U/4x/hz+Gf4U/fb9v/2O/YL9pP3Q/dD9hP0D/Ib8N/wO+/D72fvb+/f8Fvwe/Br8I/w8/E/8TPxC/Ej8YPx8/I78mvyn/Lj8zfzh/PX9Bv0a/TT9T/1l/XH9ff2P/aH9p/2i/Zr9l/2V/Y79h/2E/YX9hP2B/X/9f/1+/Xv9fP2D/Y39k/2X/Z79rf2+/c793/30/gj+Gv4n/jb+S/5l/oP+o/7E/uT/A/8l/0j/a/+L/6r/zP/vABEAMwBVAHcAlwC4ANgA+AEZATgBVwF5AZsBvwHlAg4CNwJfAoMCpgLMAvUDHgNFA2oDjwO0A9cD9wQWBDcEVQRpBHUEgwSaBLMEwQTBBL0EwQTNBNcE2gTdBOUE7ATvBO4E7wTzBPYE+wUFBRMFIQUqBTIFPQVJBVQFYQV1BYoFmQWlBbQFzQXoBfkGAQYLBh0GNgZQBmoGggaXBqUGrQa3BtEG5wb/BxgHNAdSB20HhQegB8AH4ggDCB4IOAhSCG4IhgiYCKsIzAkECUoJhgmoCbEJtQm9CcUJwAmsCY0JZQk0CQAI1wjDCL4IugizCLEIuAjGCNQI4gj3CREJLQlMCXkJwQoaCmYKkwqlCrgK2gsBCyALNgtSC30LqAvCC80L2QvyDBEMJgwpDBcL7QuiCz8K2wqRCmoKWgpMCi0J9gmoCVII/giwCGUIHwfrB84HwQe3B68HrgeuB6AHewdGBxEG5gbFBqsGlwaDBmoGUAY9BjAGHAX4BckFngV5BVEFIgTuBL0EjwRjBEEEMgQ3BEUESwQ/BCYECwPxA8gDewMHAoECDAG9AZIBfwF5AXcBcwFoAVUBPgEaAOIAnABaACwAEf/5/9v/uf+a/37/Yf8//yD/Fv8r/1H/bv9y/2b/Xf9e/1r/SP8z/y//O/89/yH++f7x/yP/gv/jACsAXACDAJkAkQB9AJAA6gFpAcEBzwG3AaYBlAFTAN4AbgAvAAD/of8E/mz+Fv37/ef9xf2p/af9rf2m/ZX9kf2d/an9rf22/dH99v4N/hL+Ff4k/kD+XP5s/nP+d/58/n7+dP5Z/jT+F/4L/gn+BP34/ev94v3h/en9/v4d/jP+M/4d/gL97v3f/dP9y/3L/dD90/3W/dz94P3Y/cL9rP2i/Z/9mf2K/Xr9bf1d/Uf9Lv0Z/QX87fzT/MH8svyc/Hr8V/w7/CX8Cvvl+7v7j/te+yj68vq/+oz6VPod+er5u/mM+Vv5LvkB+M74j/hM+BD33vey94X3Vvci9un2q/Zw9jr2BfXS9aH1dPVF9Q/00vSZ9Gn0QfQh9AXz5/PC85XzZvM78xPy6/LC8pzyePJR8ibx+vHR8a/xkvF98W3xXvFJ8TLxG/EF8O3w1/DD8LLwn/CL8ILwivCa8KjwtvDI8NDwsfBX79vvcO847ynvG+737sTune6L7ojugO5r7k/uOO4s7iruJ+4d7g3uAO3/7gjuEu4V7hbuHu4t7jvuPu427ibuFe4E7fHt3O3G7bLtp+2q7bntyu3a7e/uDO4x7ljugO6n7s7u8e8T7zvvae+W77vv3PAG8D7wgvDR8S/xmfIH8mfyrPLI8rTyd/Iu8fvx9fIe8m3y0fMz84DzrfPC88rzy/PJ88fzxvPG88bzyfPZ8/X0HfRM9IL0u/Ty9S71gfXz9nb2+Pd8+Bb4zfmG+hr6fPq9+v37Svuh+/v8SvyH/LL81fz2/Rb9Kv0y/Tb9Pv1O/Wb9hf2u/eL+Iv5t/sH/FP9b/5D/u//qAC4AiADuAU0BkQGyAbcBqwGaAYsBhgGNAZ0BrwHGAeUCCgIrAkcCbAKxAxkDjgPyBDYEXwR/BJ4EwQTkBQYFIgU2BUAFRQVNBWEFiAXFBhAGWgaYBskG9wcwB34H3QhHCLIJGAlyCb0J+QopClUKhQq+CwILSQuEC68L0Av2DCoMZQydDNcNHA12DdoONw6GDtAPHA9nD58Ptg+2D7MPtg+6D7APnA+PD5sPvQ/nEAsQLxBbEJIQ0RESEVcRoRHuEjsShhLTEyATaROoE9wUAhQZFCAUIRQsFE0UfhSrFMEUvhSwFKQUmhSNFH0UcxR2FIcUnhSzFL4UtxSdFHwUZBRbFE4UJRPgE6MTlRO1E9sT3xPDE64TuRPUE90TzxPDE8cTxhOkE3kTjRQJFLMVFBToFGET+RP4FEQUlRTDFNUU3RTeFNcU1xTlFPEU4hS3FIkUchRrFGYUYRRiFHIUkxTVFVQWFRbsF5QX3BfDF2wXAxawFooWkhajFnoV4RTeE8YTEhMVE8YUzhXKFoQW9xczF0YXOhcZFvAWxBaUFmAWKBXtFbUViRVpFU0VLRULFPoVARUSFRUVABTZFKsUehRJFBsT+hPmE9MTthOSE3kTfBOYE7oT1xP2FCYUYRSKFI4UdRRdFFcUZRR/FJ0UrxSoFI4UbhQ0E40SHQ/dDUwLKgn/CdkKXAsLC48LzgvgC+YL6QvXC6cLaAstCvgKugpwCicJ7Qm6CYAJOQjvCKsIcAg2B/sHvQd7BzsG/gbEBogGSQYQBeEFtQWGBVcFMwUZBQEE5QTMBMMExAS/BKsEkQR4BGIESgQxBCIEHwQeBBAD9APOA6oDiANoA0YDJQMIAvEC1AKkAmACGQHmAcoBtwGdAXwBXwFMAUIBOAEqAREA6gC8AJcAigCPAIoAZgAl/+T/x//V/+3/5P+n/1L/Ev71/uf+zP6i/n3+Zv5O/iv+A/3k/c/9uf2g/Y79iv2K/YD9bf1Z/Uj9N/0o/R/9GP0J/On8xvyv/Kb8pPyi/KP8oPyQ/HL8UvxA/Dz8N/wj/Ab76/vg++r8BPwd/CD8Bvvk+9H7zvvK+7n7pfuf+6b7q/uh+5L7ifuL+5D7lfud+6P7ovuW+4n7g/uI+477kPuN+4z7jPuM+4z7jPuN+5H7l/uf+6f7q/ut+677sfu2+7r7vfvB+8n71Pvg++r78Pv3/AH8Efwk/DP8P/xJ/Fb8Zvx2/IT8k/yl/Lj8zfzj/Pr9EP0j/TX9Rv1X/Wf9d/2J/Zz9sP3B/dH94f3v/f3+Cv4Y/ib+M/4//kv+V/5h/mn+cf55/oL+iP6O/pb+oP6q/q/+sf6x/rH+sP6t/qz+rv6x/rP+tf62/rf+uf69/sH+wv6//rz+vf7B/sH+vv66/rr+uv64/rT+sv61/rj+uv66/rz+wP7F/sr+zP7K/sX+xP7H/sn+x/7D/sL+x/7O/tH+0/7T/tP+0P7P/tL+2/7k/u3+9f78/v7+/f7+/wT/DP8R/xX/HP8l/y3/NP88/0n/Vv9h/2v/dv+B/4v/l/+l/7L/uP+7/8H/zP/X/9v/3f/g/+T/6f/zAAMAFAAfACYALAA4AEcAVABgAG0AewCKAJgApQCvALoAygDfAPEA/gEMASEBNgFDAU8BZgGIAacBvwHhAhoCVwJzAmgCWwJzAqsC1gLWAr0CtgLaAxYDQgNJAz4DQwNkA4oDoAOwA88D+wQjBEIEawSpBOsFHAVEBXoFvwX9BisGWAaJBqoGtwbMBwcHUweIB6QHwgfPB3cGigVsBOkFogeKCfkMFA1JDZUNfA2fDjkPCQ+2EDAQpBETEU4RQBESEPMQ1xCqEIcQlRCjEDQPBg1rC/wLAQpYCc8JaQk5CS4JHAjxCLgIewg9CAgH7QfrB+cH0Qe2B6gHngd+B0IG+AayBnQGQAYhBhoGEQXiBXgE5QRTA+EDkgNIAuMCWwHDATUAtQA9/9L/h/9d/z3/D/7T/qD+gP5q/k3+KP4F/ef9zf25/a39qv2r/an9of2T/YT9fv2I/Z39sP3A/dv+EP5e/rD+7/8M/wz/AP76/vn+6v69/oD+Uf5A/j/+Of4o/hf+Bf3k/a79ef1m/YX9vv3k/c79c/zx/Hr8K/wA++b72fvp/BX8Q/xY/FX8T/xT/Fr8XPxe/Gz8gvyV/KD8qfy0/MH8zfzb/O39Af0V/Sr9Q/1c/XH9hP2W/aH9o/2c/ZX9k/2Q/Yv9hv2F/Yb9hP2B/YD9g/2F/YP9hP2J/ZH9mv2i/a79vf3O/d/98v4H/h3+Mf5D/lX+Z/59/pn+uv7d/v3/HP89/2H/gv+h/8D/4wAIACsASwBrAIsAqwDLAOwBDgExAVEBcQGSAbQB1wH6AiACRwJtApICtwLfAwoDNQNcA34DoAPCA+UEBAQdBDIERgRaBG4EggSZBLAEvwTDBMMEyATVBOAE5gTpBO0E8wT1BPQE9QT5BQEFCAUQBRkFIgUoBS4FOAVHBVYFaAV9BZQFpwW1BccF4gX+BhEGGgYkBjcGUAZpBn4GkwalBrEGuAbBBuYG/wcZBzYHVAdyB40HpgfCB+IIAwghCDwIVQhvCIsIqQjICOkJDglACXwJsQnNCdMJ1wnmCfAJ2wmiCWAJLwkQCPIIzwiyCKcIqgiuCLEItwjCCM8I3QjwCQoJJwlDCWwJswoUCnMKrgrGCtUK8gsZCzkLTQtmC44LvwvpDAgMJAxGDGMMbgxiDEMMEAvBC1kK7QqXCmMKSQo0ChMJ3gmZCU8JCwjMCI4IUwgkCAcH9QfkB9UHzgfLB74HmwdpBzYHDgbxBt8G0QbABqUGhQZqBlgGRAYiBfQFyAWlBYUFYAUzBQEEzwSlBIoEhQSSBKEEngSBBFcEMQQYA/YDrQM1AqoCNgHuAcoBtwGtAagBpwGlAaEBlgF8AUgA/wC3AIMAYwBKACsAB//j/8L/ov+E/3D/cP+B/5T/mf+L/33/gf+T/5z/jv94/3P/gP+D/2T/Mv8Y/zf/iv/zAFkAsQDxAQgA+QDnAQUBYAHQAhYCHAH5Ac0BkgE9AN4AlgBkABr/lv72/oD+U/5L/jf+Ef32/fH97v3b/cj9x/3X/eT97P38/h7+Qv5X/lr+W/5m/nr+kP6e/qH+mP6L/oL+ff52/mz+Zv5n/mX+Vv46/iL+GP4Z/iD+LP49/kr+Sf45/iT+Ev4I/gT+Bv4L/g3+Df4Q/hr+IP4V/fz96P3i/eD91v3D/bP9p/2W/Xz9YP1K/Tb9H/0I/Pn87fzX/LX8lPx9/Gr8UPws/AX73Pus+3X7QPsP+t36p/pv+j36Efnk+bX5hflV+R743vic+GP4M/gI9933r/d69z72/vbD9pH2YvYy9gD1z/WZ9V71IPTo9Lv0mPR79F70PfQT8+Xzt/ON82TzOvMR8uzyyfKh8nbyT/Is8gzx7fHU8cLxsfGY8XbxU/E18R3xC/D98O/w3fDL8MPwx/DS8N7w7vED8Qrw4vCA8AXvpe9673DvXe8v7vTuyO617rLuq+6Y7nzuZe5Z7lXuUe5G7jbuKe4o7i/uOO477jnuPO5F7k/uUO5I7jnuKe4X7gPt7e3Y7crtxe3L7dnt6u377hDuKu5J7m7umO7H7vLvE+8t70zvde+g78Xv6PAV8FHwlfDV8RPxWPGo8fzyQ/Jr8mryRvIT8evx4/IJ8l3yyfMv83bzmfOo87HzufO887rztfOt86TzovOx89Hz+fQh9Ev0e/S39Qb1c/X99pH3GveY+CT4yflz+fz6WPqc+uL7Mft/+8j8D/xV/JT8w/zi/PT9AP0L/R79PP1k/Y79tv3X/fL+D/42/m/+uP8H/07/iP+5//EAOQCRAOsBNAFhAXIBbwFhAVEBSwFSAV8BbQF9AZcBuwHeAfsCHAJXArcDLAOWA98EBgQZBCkEPgRZBHgEmQS5BNYE7wUKBS8FZQWrBfgGPQZ0Bp8GywcDB0wHoggACGEIwgkgCXMJtQnmCg4KOQpwCrMK+AsvC1YLeQunC+YMJwxgDJIMzw0iDYAN1g4aDlgOog71DzwPYg9nD2EPYQ9jD1wPSw8/D0YPXQ94D5QPuA/rECwQcxC7EQcRVhGkEe8SNxKBEtATIBNpE6cT1BPsE/IT7RPwFAUULhRbFHoUgxR9FHMUaBRZFEkUPxRDFFEUYRRrFG4UZhRRFDQUHRQYFBgUBBPPE4sTYhNlE34ThxNyE1cTUBNeE24TchNyE3MTaxNMEzATThPEFFwUsBSIFBETthO7FAgUXRSRFKkUsxS0FK0UqxS1FLoUpRR8FFwUVBRWFFAURhROFGkUgxSbFNEVSxYCFr0XQBdyF2IXKRbcFpIWahZuFnUWMxV4FGQTYxLiEwQTnhRkFR8VsxYUFj4WNxYMFcwVfRUpFOIUtRSgFJQUihSDFIcUmRS3FN4VBBUbFRQU8BS6FIIUURQqFAsT9RPiE80TsROXE4sTlBOoE7wTzxPwFCgUZRSHFIAUYxRRFFUUZxR7FIsUlRSTFIEUVhPkEtgQ9g5xC/IKPgmrCgEKuAtaC7sL5wv6DAIL+QvXC6ALYwsqCu8KqgpdChkJ4wmyCXoJOQjzCKwIZwglB+cHqgdtBzEG+gbEBosGTgYYBewFxAWUBWIFPAUkBQwE6wTJBLcEtgS3BKwEmASBBGcERgQiBAkD/wP/A/cD4QPAA5sDdwNTAzADDgLsAsoCpQJ2Aj8CCwHlAcsBswGUAW8BTQEyAR4BEAEGAPUA1gCtAIsAhACSAJcAdwAu/9//tv/G//D/+v/E/2P/C/7b/sb+rP6E/l/+SP42/hr99f3U/b79rP2a/Yv9gP10/WD9Sf01/SP9Ef0B/Pj89Pzr/Nb8vfyt/Kf8pPyi/KT8pvye/IT8X/w//Cf8FPwB+/D74/vY+9X72vvj++D7y/uy+6v7tvu++7T7oPuV+5T7jft3+1/7WPti+277cfty+3r7h/uM+4r7h/uK+5D7kvuO+4r7ifuJ+4j7hfuF+4v7lPud+6T7qPuq+637svu5+7/7xfvM+9X74fvt+/b7+vv+/AX8FPwn/Dn8R/xS/F78bfx8/Ir8mfyp/Lr8zfzh/Pb9Cf0a/Sr9Pf1R/WP9c/2C/ZX9qf27/cv92f3o/fb+BP4R/h7+Kf40/j/+S/5W/l7+Zf5u/nb+ff6D/oz+l/6i/qn+qf6m/qT+ov6g/p/+of6m/qv+rP6q/qf+qP6s/rL+tP6z/rP+s/6z/q/+q/6r/q7+r/6t/qr+q/6v/rL+sf6w/rH+tv69/sT+x/7F/sH+v/7C/sb+xf7D/sX+y/7S/tb+2f7Z/tf+0/7R/tj+5P7w/vj+//8G/wv/Df8O/xH/Ff8b/yP/LP80/zr/Qf9M/1n/Zf9w/3z/iP+S/5r/pf+2/8X/zP/N/9H/3P/o/+//8//1//b/9v/9AA0AHwAsADQAOwBHAFQAYABtAHwAiwCZAKcAtADAAMsA2ADrAQABEgEhATABQQFTAWkBhQGjAbsB0AHyAiQCUAJdAlMCWAKBArkC1gLNAroCwALmAxUDMgM4AzcDQgNdA30DlwOzA9UD/AQeBEAEcgS3BPsFLAVVBYkFyAYBBi0GWgaIBqkGvAbcBx0HageeB7YHzAfIB14GawVSBN8FrAeqCiYMPA1ZDY4Ncg2bDiwO1g9VD8AQThDrEUgRSBEhEQ8RARDYEKwQrRCvECoO0w0HC3gKgQn8CZ4JVwk3CTQJKQkECNEInQhoCDEIBQfnB8wHrQeTB4oHhgdxBz8G/Qa7BoEGTwYqBhMF+AXBBV8E2QRQA98DjwNJAusCagHVAUQAwABG/93/lf9v/1f/M/8C/tP+r/6P/mn+QP4a/fz94/3P/cH9u/28/cL9xv2//az9nP2d/a/9xP3Y/fT+K/57/tH/E/8u/yX/Cv73/vH+5/7C/oL+Q/4e/hL+Dv4I/f796P27/YT9Yv1x/ab91v3V/Zb9Kfyu/Ef8Bvvp+9/74/v6/CH8SPxb/Fj8UfxT/F78bfx+/I78mfye/KL8rPy7/Mn80/zg/PT9CP0Y/Sb9Of1R/Wz9gf2Q/Zb9lv2U/ZP9kv2Q/Yr9hf2E/YT9gv2C/YX9jP2Q/ZD9j/2S/Zj9ov2u/b39zP3c/e3+A/4a/jD+Rv5d/nX+i/6g/rn+2P76/xj/Nv9X/3r/mv+3/9X/+QAgAEQAYwCBAKEAwQDhAQQBKgFPAXEBkAGwAdIB9AIVAjcCWwJ/AqICxgLuAxkDQwNoA4YDogPCA+YECAQhBDQESQRmBIYEoASyBL8EygTPBNEE1QTfBOoE8ATxBPME9wT5BPgE+AT/BQkFEQUWBRsFIAUmBS0FOAVIBVsFbwWGBZ8FtQXIBdwF9wYUBioGOQZHBlsGcgaGBpYGpga2BsEGygbUBwEHGQczB04HbAeJB6YHwgfjCAUIJQhCCFwIdgiPCKkIygj1CSMJTQl3CacJ1QnwCfcJ+woHCgYJ1Ql7CSoJDAkWCRUI7gi2CJcImwisCLgIvQjECNEI3gjxCQwJKQlHCW0JsQoVCn4KygrxCwYLIgtCC1oLZwt8C6UL2wwNDDUMXgyIDKgMrAyTDGgMLwvkC4ILFgq4CnYKTQouCgoJ2gmhCWYJLgj5CMUIlQhtCE8INggeCAkH/AfyB+AHvQePB2EHOwcfBw4HBAb4BuAGvwadBoEGZgZCBhUF6QXIBbIFngWDBWEFPQUjBRcFGQUeBRgE/QTKBJEEZwRPBDID7gN3AuwCdwIvAgoB8gHkAeAB5wHvAfEB6gHUAacBYgEVANQAqACJAG0ATQAqAAb/6P/U/87/1v/l/+z/4f/G/6//rf+//83/x/+3/7H/u/+7/5z/Z/89/0H/fP/kAGUA4gE2AU0BOAErAVEBqQILAkoCVwI1Ae0BiAEgANkAugCYADn/nP8A/qn+mf6Z/n7+Uv4z/if+Gv4G/fr+BP4X/iP+Lf5D/mj+i/6d/qL+pf6u/rv+yP7S/tP+x/62/qv+qv6s/qv+rP6w/q3+mv55/l3+UP5N/k3+Uf5c/mf+Z/5Z/kj+Pv4//kT+Sv5M/kn+R/5M/ln+X/5U/j/+MP4u/ir+Gv4D/fH94v3M/a/9k/1//W39Vf0+/S79If0M/Oz80Py9/Kz8kfxt/En8Jfv4+8P7jvtd+yv69fq/+pD6Z/o8+gz52fmk+Wj5Jvjq+Ln4kfhp+Dz4CvfT95X3Vvcd9u72wvaS9l72J/Xu9bD1cvU99RX09vTZ9Lr0k/Rl9DX0CfPh87fzivNe8znzF/Ly8sryp/KJ8mryR/In8hHx/vHi8bnxjvFs8VbxSPE+8TDxIPEP8QXxA/EG8Q7xIPE28TjxCfCn8DTv5O/D77nvnu9o7ynu/O7p7uTu2+7G7qvulO6I7oHuee5r7lvuUO5O7lTuW+5f7l3uW+5e7mPuZe5g7lTuRO4v7hfuAO3u7ebt5+3u7fnuB+4Z7jDuSe5l7ofus+7l7xLvL+9A71Tvd++l79Lv/fAu8Grwq/Dl8RTxQfFx8aTx0PHq8fHx6fHc8dLx2PH78kPypfMH80/zdvOM853zrvO687zzs/Of84jzfPOL86/z2fP89B70TfSV9Pn1e/YT9qv3Mfem+CT4t/lQ+c36KPpx+sD7EftZ+5b71/wi/Gv8ofy8/MX8y/zd/QL9Of17/bn95P36/gD+AP4K/iv+av6//xj/YP+T/7v/7QAwAHsAvwDwAQsBEgEMAQQBBAERASYBOgFMAWABewGXAbEBzwIFAl0CywMyA3oDngOtA7YDxAPaA/wEJwRYBIsEugToBRcFSwWEBcEGAQZABn4GvQcBB0sHmQfpCDkIigjbCSgJaQmbCcMJ7QokCmcKqgrcCv4LHwtRC5YL2wwTDEIMeQzDDRkNaA2mDeAOJg57DssO/Q8LDwUO/w7+DvwO8w7qDuoO9Q8FDx0PQQ93D7wQBxBUEKMQ9hFLEaER8xJAEokS0hMdE2QTmxO4E7wTtBOwE70T3BQEFCcUPhRHFEcUPxQtFBcUCRQPFCEULBQpFB4UEhQEE+0T1RPNE9sT4xPEE3sTMBMKExETIhMhEw4TBBMSEy4TQxNFEzoTIxMFEvETCxNpE+oUQxRAE/YTsBOqE98UJBRZFHcUhBSFFIUUjRSbFJoUehRNFDYUPxRPFEwUPBQ/FF4UgxSaFLUU+xV3FgkWhRbUFv4XBhbqFq4WcBZSFlEWORXOFQYUGxNgEwYTDhNaE8sUQhSfFM0UyxSpFHEUJxPZE6MTnhPGE/oUIRQ9FGAUkhTOFP8VGBUVFPcUyRSUFGQUPBQcFAMT6xPTE7sTqBOeE6ETqxO1E70TzBPxFC0UaBSCFHIUUhREFFIUahR4FHcUcxRzFGsULBNrEd8PiwzoCr0JpQmtCl0LIAujC+UMBwwbDB0MBgvXC50LZAspCuYKmgpOCg0J1QmgCWgJKwjqCKMIWAgRB9MHmwdiBycG7wa8BocGUAYdBfQFzwWjBXMFTQUxBRUE7wTIBLAEqgSqBKQElwSFBGwESQQhA/8D6wPgA9QDwAOkA4EDWwM2AxMC8QLMAqQCeQJNAiIB/AHfAcYBrAGMAWkBSAEpARAA/gDzAOUAzACoAIgAfACBAIEAYwAg/9H/of+o/9P/7P/J/2//Dv7Q/rf+qP6R/nL+Vv48/h79+f3V/bj9oP2N/X79cP1d/UX9Lf0b/Q38/vzu/OX84vzc/M38vPyv/Kf8oPya/Jf8mPyT/IL8ZvxH/Cr8EPv8+/H76vve+877xPvB+7v7qfuW+5b7qfu7+7n7pfuR+4P7c/te+1T7Yvt9+4v7fftj+1b7Xvtu+3f7evt/+4f7jPuN+4z7jPuN+4r7hfuF+4z7lfud+6P7p/ur+7H7tvu7+8L7yvvT+9776fvy+/n7/fwA/Af8Evwh/DH8QPxN/Fr8aPx4/In8m/ys/Lz8zfze/O/8/v0L/Rr9Lv1F/Vr9a/16/Yv9nv2w/b/9zP3b/er9+f4I/hT+H/4o/jL+Pf5I/lH+Wf5h/mv+c/56/oL+jP6W/pz+mv6V/pH+kP6Q/o/+kf6X/p/+ov6e/pj+l/6c/qD+ov6j/qb+qv6p/qL+nf6d/qD+of6f/p7+ov6o/qr+qP6n/qj+rf60/rz+wv7C/r7+vf7A/sT+xf7F/sj+zv7T/tj+3P7e/t3+2f7a/uT+8/7//wf/DP8U/xv/H/8g/x//If8o/zP/P/9G/0v/Uf9c/2j/cf97/4n/l/+g/6T/q/+8/8//3P/g/+T/7P/2AAAABwANAA0ADAAPABwAKwA3AD8ASQBWAGMAbQB5AIkAmQCmALMAwwDSANwA5ADxAQMBFgEkATIBRQFeAXkBlAGsAcAB1gH3Ah0COQJEAk4CbgKiAswC0gLCAr4C1gL9AxkDJAMqAzQDRgNcA3UDkwO5A+QECQQlBEcEfwTKBRIFRgVuBZsF0QYDBi8GXQaLBq8GzQb5B0AHiQe2B8sH2gfIB04GUQU/BN8FxgfXClAMSA0/DWUNXQ2oDj4Oww8PD2QQARC9ETERPBEnES8RORESENQQvRCvEBwOrwzCCxgKJAm+CYgJWAk7CTAJIgkBCNoItgiPCGAILggCB9wHuAebB40HgwdsBzsG+ga6BoQGVwYvBgYF1QWTBTkEygRSA+YDkANGAusCbgHcAUoAxABL/+b/nv93/17/Qv8h/wL+5P7B/pT+Y/42/hP99/3k/dr92P3d/en99P3x/d39xv3A/cz93v3v/g3+R/6Z/u3/J/84/yb/Av7m/t7+3P7H/pX+Vv4g/f796/3j/d/90/21/ZH9h/2k/cj9xv2G/Rz8qPxE+/v70/vL+9j78PwL/Cb8PPxF/ET8Q/xM/GH8fPyU/Kb8rfyv/Lf8x/za/Of87/z5/Qj9Fv0e/SX9NP1N/Wj9e/2F/Yj9iP2K/Yz9jv2M/Yf9hf2G/Yf9iP2L/ZH9mf2d/Z/9n/2i/af9sP2+/c793/3w/gT+HP40/kf+XP52/pT+sP7I/uH+/v8d/zj/U/90/5f/tv/Q/+0AEQA5AFwAewCaALwA3QD+ASIBSAFtAY0BqwHKAesCDAIsAkwCbwKRArEC0QL3AyEDSwNuA4kDowPEA+wEFAQwBEUEXgSCBKkEwwTPBNME2QTeBN8E4ATnBPAE9ATzBPIE8wT1BPUE+AUBBQwFFAUXBR0FJwUxBTsFRQVVBWkFfQWSBakFwAXVBeoGAwYgBjoGTwZgBnQGigacBqsGugbKBtgG4wbvBxcHLgdGB18HeweZB7gH2gf+CCMIQwheCHkIlQivCMgI7AkeCVUJgQmmCc0J9woSChkKFwoWCf4JtQlMCQQJDwlLCWUJMAjTCJQIkAipCLwIwgjJCNYI5wj7CRkJPAlgCYgJxQogCocK3AsUCzoLXAt3C4ELgwuSC7oL7QwaDD8MagydDMQMyAyoDHUMPQv7C6MLOwrYCowKWgo2ChQJ7AnACZEJYAkwCQUI4AjBCKQIhghpCFIIQAgtCBIH7QfCB5cHbwdNBzUHKQciBxMG9wbTBq0GiAZgBjUGDgXzBeYF5AXiBdkFzQXGBccFxAWvBX8FOgTsBKkEgARxBGAEJwO6AzUCwgJ5Ak4CLwIbAhsCLAI/AkUCPgIqAgUBxgFzASAA4gC8AKYAjwBvAE0AMwAqADAAPQBGAEUAMgAR//H/4//s//n/+v/y/+3/7//q/87/nP9q/1T/cv/QAF8A8AFNAWIBUQFTAYUB2AIrAmgChAJtAhUBkQEdAOwA7ADTAGb/vf8r/uf+3/7Y/rH+fv5a/kf+Nv4q/jD+R/5d/mb+bv6G/qz+zP7c/uL+6f70/v//CP8N/wn++v7p/uT+7P72/vb+8f7u/uX+0P6x/pX+hP57/nf+fP6J/pX+kf6A/nL+c/5+/of+iP6C/nz+fP6D/o/+lP6M/n/+eP53/nD+W/5C/i3+Gv4C/eX9zP27/af9jP1z/WP9V/1E/Sj9D/z//Oz80Pyt/I38bPxD/BL73vur+3f7QfsP+ub6wPqS+l36Jfnq+av5bPk5+Rb4+PjS+KH4aPgs9+/3s/d+91D3Ivbw9rn2f/ZC9gP1yfWa9Xb1WfU69RX06PS19IT0WvQ19Avz3POu84rzavNJ8yXzBfLo8sfyoPJ68l/ySPIq8f/x0fGv8ZnxjPGB8XPxYvFS8UbxP/E98ULxU/Fl8WDxK/DL8GfwJvAN7//v3e+i72PvNu8h7xfvCu707truxu657q7uoO6Q7oLue+567n7ugu6E7oHufO567nvufe567nDuXu5I7i/uGO4J7gTuBu4M7hTuIO4z7kzuaO6F7qbuz+7/7yrvQ+9Q717vfu+u7+PwEvA+8G3wpfDe8RPxP/Fh8XnxhvGL8Y3xlPGk8bvx1PH28ivyd/LO8xnzT/N085Lzq/O787/zs/OX83XzYfNq84zztPPX8/30O/SZ9RP1nvYy9sD3Pfet+CD4o/kp+Zr58fo++pD64/sp+2T7pfvz/ED8ePyS/Jb8mvyv/OD9K/1//cX97P32/fD96P3p/gD+N/6L/uj/Nf9m/4T/o//PAAUANwBgAHsAigCQAJUAoQC7AN8BBAEiATcBRgFUAWQBgQG3AgkCawLEAwEDIgMyAz4DUANqA5EDxAP+BDsEdASoBNIE8gUKBSoFXwWtBg0GcAbPBygHewfGCAYIQgh+CL4I+wkwCV4JjwnNChUKWAqGCqMKwArxCzQLeAuwC98MEgxVDKMM8Q03DXcNvA4IDlMOig6jDqEOlg6QDo8OjA6GDoIOhQ6TDqsOzw8DD0YPlA/lEDQQhRDfEUURqxICEkUSgRLGExITUxN0E3gTcBNsE3UTihOpE80T7xQKFBsUGhQFE+UT0RPXE+4T9xPlE8gTthOuE6ATiBN9E5ETrhOlE18S/hLAEsAS4RL2Eu4S4hLsEwkTIBMcEwMS5RLOEsUS2BMYE3wT2RQBE+sTuhOiE7UT6BQfFEYUVhRTFFMUYxR9FIMUZBQyFBcUIhQ/FEsURBREFFoUfBSXFLIU4xU1FZkV9BY8FnYWpBa8Fq4WghZTFjMWFxXdFW0U0BQpE5gTNBMHExATPBNrE4QThxODE30TbRNXE1QTfBPLFCAUXhSEFKkU1hUCFRgVDxTvFMYUnRR2FFEULhQQE/YT3RPCE6oTnROdE6YTrhOyE7gTyhPyFC0UYxR7FGwUTBQ9FE0UaBRvFF8UTRRQFE0T7xLKELUOAAtvCckJZAn0CtcLiwvsDBcMMQw+DDQMDgvZC6MLbAstCuIKkApECgEJxQmJCU4JFAjYCJQISQgCB8YHkAdXBxoG4gaxBoMGUgYiBfgF1AWvBYYFXwU6BRYE7gTJBK8EogScBJYEjgSBBGoERwQfA/wD4gPNA7gDnwOBA10DNwMSAvEC0gKuAoUCWwIyAg0B7AHPAbQBmAF6AVwBPwEkAQ0A+gDsAN0AxwCoAIkAcQBiAFQANwAC/8D/jP+B/53/u/+v/3D/Hf7h/s7+0f7L/q3+fP5J/h79//3k/cT9n/19/Wj9XP1R/UD9Lv0h/Rr9Ef0F/Pr88fzk/NL8vfys/KD8lfyL/IX8gPx5/G38XvxN/Df8HvwI+/v78vvk+9H7wvu7+7T7pPuU+5T7qPu9+777qvuN+3T7Yvta+2r7lfvG+9f7ufuA+1H7QftJ+1X7Xftm+3H7e/uD+4n7j/uS+5D7jPuN+5T7nfuj+6f7rfu1+7v7vvu/+8L7yfvV++L77fv0+/n7/fwC/An8Efwb/Cb8M/xB/E/8Xfxu/IP8mPyr/Lz8y/za/Of88vz8/Qv9H/02/Uv9Xf1t/X39jv2e/az9uv3I/dn96f34/gX+Ef4b/iX+L/45/kL+Sv5S/lz+Z/5v/nb+fP6C/oT+gf58/nr+ff6A/oD+gf6H/pH+lf6R/ov+i/6Q/pP+kv6R/pX+nP6d/pf+k/6U/pf+l/6U/pX+mv6g/qL+of6i/qX+qv6w/rj+vv7B/sD+wP7E/sf+yf7J/sv+z/7T/tn+4f7n/uj+5v7o/vP/Av8N/xP/Gf8h/yn/Lv8v/y7/MP83/0L/Tv9V/1r/Yf9t/3n/gv+L/5n/qP+w/7D/s//C/9f/5//w//b//AACAAsAFQAeACEAHwAiACwAOQBCAEoAVgBmAHQAfACHAJYApQCxALwAzADdAOoA8gD8AQwBHAEpATgBTgFoAX8BkQGkAb0B3QH/AhwCMwJIAmkClwK+AskCuQKuAsYC9wMfAykDIgMjAzcDUgNoA30DnAPHA/YEGwQ2BFcEkATcBSUFWwWCBaoF1wYGBjMGYwaTBrwG4gcXB10HnAe/B84H2Ae7BzEGLQUiBNsF3wgCCm4MOg0ADRUNJQ2SDi8Omg7HDxIPvBCJEQYRGhEZET4RXxE/EPcQzxCtEAoOjQySCuEJ9gmoCY0JaglICTIJHwkDCOcI0gi8CJkIawg8CA8H4we7B5sHgQdfBzAG9ga9Bo0GZAY3Bf0FtwVpBRYEuARQA+cDjQM9AuECagHbAUwAyQBY//r/tf+I/2j/Tf82/yX/E/72/s3+nv5x/kf+JP4O/gj+C/4T/h7+JP4f/gv99f3v/fj+CP4Z/jj+cf67/v3/Iv8m/w/+7P7O/sL+wf64/pr+a/41/gT93/3M/cz9zf3D/bb9uv3M/cb9hP0L/If8H/vc+7T7ofup+8j78PwS/Cn8NPw4/Dn8PvxM/GT8gPya/K38uvzG/Nf86/z9/Qb9Cf0P/Rb9G/0d/SP9M/1M/WT9dP17/X79f/2C/YX9h/2H/Yb9iP2M/Y/9k/2Y/Z/9pv2q/a/9tf27/cD9xv3S/eT9+P4M/iT+Pv5W/mf+eP6R/rP+0/7u/wf/JP9A/1n/cf+Q/7L/0f/qAAcAKgBQAHMAkwC1ANsA/wEfAUABZAGGAaIBvAHaAfsCHAI8Al0CgAKhAr4C3AMAAyoDVgN8A5sDuQPdBAkEMgRQBGMEeASWBLcEzATUBNgE3gTkBOQE4wToBPEE9gTzBO4E7QTwBPIE+AUCBQ4FFgUbBSUFNQVFBVAFWgVoBXoFjAWeBbMFyQXeBfIGCQYlBkAGVgZnBnkGjQagBrEGwwbVBuYG9AcDBx8HOQdTB20HiweqB8oH7AgRCDUIVQhxCJAIsQjQCO0JEwlICYEJrQnNCe4KFAovCjIKJgoTCeoJlAkpCPAJFwlwCZkJXQjrCJsIkgitCMAIxQjLCNwI8gkKCS4JWwmHCbAJ4wouCocK2gsaC0sLdQuPC5YLlgumC8wL+QwcDDkMYwycDMcMygyiDGkMMwv6C6wLSgrnCpoKaApFCiUKBQnlCcIJmQltCUkJLgkWCPgI1AizCJoIhwhvCE8IKggDB9kHqwd9B1oHSQdCBzsHJwcEBtYGpgZ7BlgGPAYrBikGNwZJBlQGVwZaBl0GTQYYBbkFRgTaBI4EbARtBHEEUAP5A4EDFALKApoCdAJaAlkCcQKNApgCkwKDAmQCKAHOAWsBHwD4AOgA1wC4AJYAggCDAJAAmQCYAIsAcwBRADEAHwAfACcAKgAlAB4AGQAQ//r/0v+g/3j/ff/OAF8A9QFQAWIBXgF6AcACDgJOAoICpwKeAkgBvwFPASsBNgEYAKL/+v90/zb/JP8K/tn+pP6A/mr+Xf5d/nP+lP6p/q7+sf7F/uX+//8N/xT/H/8u/zv/RP9H/z7/LP8f/yX/O/9M/0v/Pv8v/x//CP7r/s/+u/6u/qv+s/7B/sf+u/6o/qP+sP7D/sr+xP65/rT+tv66/r7+vv63/rD+rP6p/qD+jv56/mf+Vf49/iP+DP34/eD9xP2t/aD9lv2D/Wn9Uf1A/Sz9Efzy/NX8tvyP/F/8Lfv6+8T7jvth+z37GPrm+qr6a/ov+fP5vfmU+Xr5YPk4+P/4wPiB+EX4Dvfd97D3gfdM9xH21PaV9lf2IfX49df1uPWU9Wn1OPUD9NH0qPSF9F70L/QB897zwfOk84LzYvNE8yLy+vLR8rDyk/Jx8kXyGvH48eHx0PHA8a/xnvGP8YPxe/F48X7xjPGW8YTxSPDt8JnwZvBS8EDwGe/d757vbu9T70XvN+8k7wzu9+7n7tnuyO647q7urO6u7q/uru6r7qfuoO6a7pbulO6O7oLuce5e7kvuOu4t7ifuJ+4q7jLuPe5Q7mnuhu6k7sbu7O8V7zvvVe9l73XvlO/B7/XwIPBB8F7whvC78PXxKfFP8WbxcvF18XPxdfGG8aTxyPHr8hbyUvKe8u3zMPNk84zzqfO487jzqPOJ82XzTfNP82nzjfOy8+f0PfS39UX10/Zb9tr3Tfe3+CH4kfkA+WH5sPn7+kz6oPrr+y37cvu//Av8Q/xg/Gf8avx+/LD9AP1Y/Zz9vv3G/cj9zv3b/fT+Iv5q/rv/AP8s/0b/W/92/5L/rf/D/9b/5//3AAkAIwBJAH0AtQDmAQUBEAERARcBMgFpAbUCBwJOAn4CmwKuAsEC2AL1AxsDSQN7A60D3AQGBCQELgQsBDUEYgS6BS8FrAYiBo0G7Qc6B3UHowfTCAsISwiLCMsJEAlfCbIJ+QopCkYKYwqPCssLCQtAC3ILpQvgDCcMeQzODR0NYg2iDd8OFQ41DjgOKg4cDhUOEQ4MDggODA4eDjkOXQ6ODtEPIw95D8gQFBBsENkRThGwEfUSLBJvEr8TBBMpEy4TKhMqEzMTQBNWE3cToRPME+0T9hPiE7wToROmE7wTvxOeE28TVRNSE0sTMhMgEy8TUhNTExMSshJ1En8StBLeEuES0RLQEuES7BLfEsESqBKgEqYStxLcEx4TbROnE7QTmhN9E4ATqRPmFBgUKxQhFBYUIRRAFFcUSxQhE/0T9xQNFCgUOBRCFFAUYxR4FJEUuhT5FUQVjhXLFgAWMxZiFn4WeBZSFh8V8xXLFZgVSRTYFFATyhNfEyATCRMEEwMTChMnE1gTixO0E9wUFxRiFKcU0xTnFPcVChUVFQsU6hTBFJ4UgRRjFEAUGhP6E+ETyhOzE50TkROQE5cTnhOlE7ITyhPwFCMUVRRxFGoUTRQ7FEgUYRRkFEcUKxQsFCETjxIAD3IMiwpACT8JgQpxC14L8QwxDE0MXgxdDEIMEwveC6sLdAswCuAKjQpACfsJugl7CT8JBwjNCIsIQgf7B70HhAdJBwwG1AamBn0GUQYjBfkF1QW1BZIFaQU8BRAE6QTKBLIEnQSNBIUEggR6BGMEPwQYA/gD3gPFA6kDiQNlAz8DFwLzAtQCtQKUAnACSwInAgEB2wG5AZwBgQFlAUgBLAEVAQIA8wDlANUAvwClAIYAZQBEACYACf/l/7X/g/9l/2j/fv+E/2P/KP73/uv++f78/tX+h/42/gX9+v38/ev9vv2I/WP9WP1Y/VT9Sf0+/Tf9Mf0p/Rv9CPzw/Nb8vPyl/JT8hvx9/Hb8bfxg/FT8S/xF/Dn8JvwR/AL79vvo+9b7xvu8+7L7o/uU+5L7ovu0+7b7ovuE+2n7W/tf+337sfvm+/r72/ua+1z7Ofsz+zr7RPtM+1b7Yvtw+337ivuQ+5H7kfuW+5/7p/us+7H7ufvD+8j7x/vC+8D7xvvS++H77vv1+/n7/vwF/A78Fvwd/CX8MPw9/Er8WPxp/H78k/ym/Lb8xvzU/OD86vz1/QT9Fv0q/Tz9Tf1d/W79fv2M/Zr9qf24/cj91/3m/fT+A/4P/hj+Iv4r/jP+O/5E/k/+W/5k/mn+av5r/mr+Zv5j/mb+bf50/nX+df57/oT+iP6E/n7+f/6H/ov+iP6D/oX+i/6N/ov+if6M/pD+kP6O/pD+lf6a/pv+nP6f/qX+q/6w/rf+vf7B/sL+xP7I/sz+zf7O/s/+0v7W/t/+6v7y/vP+8P7y/vz/Cf8T/xr/If8q/zH/Nv85/zz/P/9F/0//Wf9g/2b/cP+A/5D/m/+l/7D/vf/E/8T/yP/U/+X/9P/+AAQACQAOABQAHgAoACsAKAArADYARQBPAFcAZAB1AIIAiwCVAKUAtQC+AMYA0gDiAPIBAAERASUBNAFAAU8BZwF/AYsBkAGeAcAB6wIPAigCQAJmApYCvgLHArAClQKdAtEDEgM3AzUDJQMmA0EDYwN/A5YDswPbBAcELgROBHQEqwTwBTMFZQWKBawF1AYBBjMGaAadBssG9QcoB2IHkwesB7cHvgeZBwgGBAUHBNoF+ggmCnkMDQybDJcMsQ0yDdUONg5eDrYPdBBQENYQ9hECETIRXRFIEQYQ0BCKD8IONgxMCr0J8gm4CaQJgAlYCUAJLwkaCQYI/AjzCNwItAiBCEoIEAfXB6MHdwdPByYG+QbKBp0GcQY9BfoFqQVUBQEEqQRIA+IDhQMwAtQCYgHdAVUA3QB5ACr/7f+9/5T/cP9W/0X/NP8d/wL+6P7L/qX+e/5e/lX+Wf5e/mD+XP5Q/jv+J/4h/iv+QP5c/oX+u/7u/w7/E/8H/vD+0/62/qD+lf6N/n3+X/42/gb92f2//br9v/3A/b39wP28/Y/9JPyR/A77vPuV+4L7fPuM+7b76vwT/Cr8M/w3/Dv8RPxU/Gr8gvyZ/K38wPzR/OT89f0A/Qb9C/0R/Rb9GP0Z/SH9M/1K/V79bP12/Xz9f/2B/YT9hv2J/Yz9kf2W/Zr9nf2k/av9sv23/cD9zP3W/dr93f3o/fz+E/4o/kD+Wv5y/oT+lP6t/s7+7v8J/yL/P/9c/3X/jP+o/8n/5wACACAARABoAIgAqADOAPcBHAE7AVoBewGaAbMBywHpAgwCLQJNAm8CkwK0AtEC7gMTAz4DbAOXA78D5gQOBDgEXAR1BIIEiwSaBKwEugTDBMwE2AThBOIE4gToBPME+QT1BPAE7wTzBPgE/gUIBRQFHQUlBTIFRQVUBV0FZQVyBYUFmAWqBb0F0wXnBfoGDwYpBkIGUgZeBmwGfwaTBqYGuQbOBuMG9QcJBycHRQdjB4EHoQfBB+AH/QgeCEIIYwiBCKIIyAjuCRIJOgluCaUJ0gnxChEKNQpMCkkKMgoTCeIJjAklCOoJBglUCXsJSgjsCK0IqgjBCMwIzAjSCOUI/QkZCUEJdgmpCdEJ+wo4CoUKzwsJCzYLXgt9C44Lmwu1C98MCAwmDEIMbwypDNIMygyTDE4MFQvhC5wLQArkCp8KdQpWCjYKGQoDCe8J1AmwCZEJewlkCUEJEwjsCNIIwAipCIsIaghJCCIH7we5B48HdgdpB10HSQclBvEGuQaLBm8GYwZjBnEGjAasBr8Gwga+BrgGmgZNBc0FOAS2BGEERQRWBHYEdwQ9A9gDcAMkAvACxQKkAp8CtgLWAucC5gLbAsAChAIkAboBbAFJAT0BKgEFAOAA0ADZAOkA6wDcAMEAogCEAGwAXwBdAF0AWABOAEMAOQAvACIACP/b/6r/oP/nAHcBDAFiAXYBhAG9AhYCXgKGAqQCxALFAoICDAGqAYkBhQFUANgAPP/E/4b/Y/85/wX+2P66/qf+n/6p/sX+5P70/vT+9P8B/xf/Kv81/0D/Tf9c/2n/c/91/2v/XP9X/2j/hv+a/5f/hP9v/1v/RP8o/wz+9/7q/uf+7v72/vP+4/7V/tr+8f8G/wr/Av77/vz+/f77/vP+6/7i/tn+0f7K/sP+uf6v/qP+lP5//mj+Uf45/h7+Bf3z/ej92v3C/ab9jv17/Wf9T/03/SD9AvzZ/Kn8evxI/BL73Pux+5D7a/s1+vT6tPp7+kn6Hvn9+eL5wfmQ+VL5D/jR+Jn4Z/g6+A332/ei92b3J/bn9qz2evZV9jT2D/Xk9bb1hvVT9SL09/TS9Kv0fvRT9DH0FvP789rzufOb83rzU/Mp8wPy3/K48ozyYvJB8ifyD/H58eXx1PHG8b3xuPG58cHxzPHL8avxZvER8MvwpfCT8H3wUfAU79Pvnu9872zvY+9U7zzvI+8O7v/u8O7i7tru2u7d7tzu2O7R7sruwe647q/uqO6d7o7uf+5y7mruYe5X7k7uSe5N7lbuZe537ozupu7D7uLvBe8n70nvZ++A75jvte/a8ATwKfBE8FjwcvCY8Mjw+PEk8U3xc/GN8ZLxifGC8Y3xp/HK8ffyNPKD8tXzH/Na84bzpPOw86nzkvNx80/zOPM4807zcPOd8+H0TfTb9XX2BvaG9vz3aPfK+CX4ffjT+SL5aPmt+fv6T/qi+u/7O/uF+8r7//wi/DL8N/xF/G38tP0F/Uf9bf2E/Z/9wP3h/gD+Jf5Y/pL+xf7p/wL/Fv8l/y//Nf86/0D/TP9f/3v/nv/LAAUASgCOAL0AzgDKAMkA4AEUAVkBnwHYAf8CGQItAkACVQJrAoUCoAK6AtEC6wMGAxwDJAMjAy8DXAOyBCAElgUKBXkF3wYxBm4GnwbTBxQHYAe1CBAIcgjYCTkJiQnACeUKCQozCmYKnArRCwcLOwtwC68MAQxhDLwNAg05DWsNnQ2/DcQNsQ2aDYwNhg2DDYQNkA2nDcYN6Q4ZDl4Otw8VD2cPrxABEGkQ3hFGEZMR0xIdEnASthLcEuYS6hLxEvoTARMQEy8TXhOSE70TzxPAE5sTfRN9E40TiBNdEyYTCBMFEvoS1hKyEq8SxxLGEo8SPRIREioSbRKkErUSrRKpEq4SrhKcEoASbhJxEoASkRKmEsoS/BMuE0gTRxM9E0YTcBOvE+cUARP4E+IT2hPtFAwUGxQME+sTzxPKE9wT+BQSFCgUORRJFF0UexSpFOsVNhV6Fa8V2RYFFjAWRRY1FggV2RW7FagVhBU+FNgUZxQCE7oTjRNzE2cTcROZE9sUIRRdFI4UvBToFQcVExUSFQ8VDRUCFOgUxRSlFIoUchRTFC0UBRPkE80TuhOlE5ATghN+E4QTjxOeE7MTzRPvFBkURhRlFGQUSxQ4FEMUXBRbFDQUDBP/E9US/REJDjALWAmGCSwJ7wsHC9oMQgxrDH8Mhgx2DE0MGgvnC7ILdAsrCtoKigo+CfgJtQl3CTwJAwjHCIUIPgf3B7QHdQc3Bv0GyQabBnEGRwYdBfYF1AW1BZMFaQU3BQcE4gTGBK0EkQR7BHMEdQRyBFwENgQQA/ED2AO9A54DegNSAykDAQLeAr0CnQJ+AmECRQIjAfoB0AGuAZUBfgFgAT0BGwEBAPAA5ADZAMsAuAChAIQAXgAzAAz/7f/T/7P/h/9g/07/Uv9Y/0X/Gv7v/uH+7f7w/sb+bv4T/en9/P4m/jD+BP29/YT9bf1u/W/9ZP1R/UL9Of0w/SH9CPzr/ND8ufyk/I/8f/x1/G78ZfxW/Ef8Pfw2/C78H/wP/AL79vvp+9j7yPu5+6r7mvuL+4f7j/uZ+5n7ivtz+2H7Wvtf+3H7jvus+7v7rPuE+1f7Ovsy+zb7PPs/+0L7SftW+2j7ePuC+4f7jPuV+6D7qPut+7X7wPvL+8/7zPvF+8P7x/vS++H77vv3+/r7/vwG/BH8Gvwi/Cn8M/w//Ez8Wfxq/Hz8jfye/K78v/zP/Nv85/z0/QT9Fv0l/TL9Qf1S/WP9cv2A/Y79nv2v/b79zP3Z/ef99v4D/g7+F/4f/ij+Mf47/kf+Uv5a/lv+Wf5X/lb+VP5U/ln+Y/5r/m3+bf5x/nn+fP53/nD+cv58/oL+gP56/nn+ff5//n7+f/6E/on+iv6J/ov+kP6T/pT+lv6c/qT+q/6y/rn+v/7B/sP+xv7K/s7+0f7T/tX+2P7d/uf+8/77/vr+9/75/wT/EP8Z/yH/Kv8z/zv/P/9E/0r/T/9U/13/aP9x/3b/gP+Q/6T/tf+//8f/zv/T/9j/4f/u//wABAAKABAAFwAbACEAKgA0ADYAMgAzAEAAUgBfAGgAdACDAJAAmACkALQAxgDQANcA3wDrAPgBCQEjAT0BTgFXAWcBhAGdAaIBmgGiAcUB8wIUAicCQwJ1AqsCxwK5ApYCiAKmAuMDGwMyAywDJAMvA08DdQOWA7IDzQPtBBMEPQRoBJYEygUFBT0FaQWJBaUFxwXzBioGaQaoBtwHBQcsB1YHeQeNB5cHmwdyBuMF7AUFBPEGJAhQCoUL4Qw2DBIMKgy1DV4NyA4DDnEPQBAlELgQ5RDzERcROhExEP0QsRApDx0NhgvXCqEKEwnnCcMJjwljCVAJSAk7CSwJJgkjCRQI8Ai5CHYILwfqB6sHdwdOBysHBgbcBqsGdwY+BfoFqQVSBPoEnwQ+A9kDewMkAskCXwHnAW8BBQCwAG8APgAR/+P/tv+Q/3D/Uf81/yj/LP8v/xz+9f7R/sH+wf7B/rr+rv6e/of+bv5c/l7+d/6k/tv/C/8g/xf+/v7o/tf+v/6e/nv+Yv5R/kH+LP4N/eX9u/2c/Y/9jv2M/Yb9f/1p/Sr8uvwz+8f7i/tz+2j7afuD+7b78Pwa/C38NPw5/EH8Tfxe/HH8hvyb/K78v/zO/Nz85/zw/Pj9A/0P/Rf9G/0f/Sr9O/1N/Vz9af13/YH9hv2H/Yn9jv2U/Zr9oP2k/aX9qP2v/bn9wf3I/dP94v3u/fL99f4A/hX+LP4//lL+af6C/pn+rv7I/uf/BP8d/zb/VP90/5D/qf/E/+MAAAAdAD0AYACBAJ8AvgDlAQ4BMwFRAXABkgGyAcsB5QIFAikCSwJrAo0CsALRAu8DDwM0A1wDhwO0A+QEFAQ9BF4EeASLBJQElwSaBKEEqgS2BMUE1QTgBOME5QTsBPgE/QT7BPcE+QT/BQUFCwUTBR8FKQU0BUEFUAVbBWAFaAV4BY0FoQW1BcsF4wX3BgcGGQYuBkEGSwZQBlsGbgaDBpUGqAbABtsG9AcMBz8HXwd/B58HvwfeB/oIFAgxCFMIdAiRCLEI1wkCCSkJUgmECbsJ7QoUCjkKXgpzCmsKSwojCfIJpQlDCPkI7gkSCSsJEwjkCMwI1QjlCOQI3QjjCPUJCgkhCUoJgwm4Cd4KAwo9CooK0gsECyQLQQthC4ELoAvEC+8MFww4DF0MkQzMDOsM0gyJDDUL8wu+C38LLgreCqYKhQppCkgKLAofChsKDgnyCdQJvAmhCXcJQgkVCPsI6gjWCLwIowiLCGoIOQgFB9oHugefB4EHXwc1Bv0GvgaMBnYGewaSBrYG4wcNBx8HFQb/BucGvQZkBdYFNASnBE8ENARPBIUEpwSNBDkD0QN+A0QDGAL1AukC+gMXAywDMgMsAxEC0gJvAggBwwGnAZsBfQFNASUBGwEpATgBNAEZAPQA0AC2AKgApACiAJgAhgBzAGUAXABVAE4APQAV/+D/zgAQAKMBPwGdAbsB2QIhAn4CuQLIAs4C4gLnArYCWwIKAd4BuwFuAO8AZv///7//k/9n/z3/HP8D/vL+7f75/xH/J/8w/zL/Nv9A/0z/Vv9g/23/fP+I/5D/lf+V/5D/i/+Q/6f/w//S/8v/t/+i/47/dv9a/0H/L/8l/yL/JP8m/yD/FP8O/xn/Lv89/z7/O/89/0T/Rv8+/zL/J/8b/wz+/P7w/uv+6f7l/tz+z/6+/qr+lP58/mT+UP5C/jL+Gv38/d79x/2z/Zz9hv11/WP9SP0f/PD8w/yV/GH8LPwA+977t/uB+0D7AvrR+qr6iPpn+kT6Fvnb+Zv5W/ki+PD4wviW+Gj4Mvf297f3ePc89wT21/ax9oz2X/Yw9gT12fWr9Xj1R/Ud9PX0zPSk9IT0aPRM9Cv0CvPr88vzp/N+81XzK/MA8tPyqvKH8mjyS/Iw8hryCvH+8ffx9vH88gjyEfIH8dzxkfFA8QPw5PDR8LPwgPBA7/3vxe+i75Tvke+G72zvS+8z7yXvGu8M7wLu/+8C7wLu/O7y7ubu2u7N7sLuuO6r7pzuj+6I7ojuhe597nPube5x7n3uje6f7rHuxe7f7vzvG+8671jveO+Z77nv1e/w8A7wLvBL8GPwevCT8LDwz/D08SfxY/GW8avxofGL8X/xhPGb8cryFPJx8szzFvNN83jzl/Oi85Xzd/NS8zLzIPMj8z/za/Ol8/b0avT89Zj2Kfap9xz3gvfY+B34XPid+OD5Ivlj+ar5/PpW+q/7APtG+4D7sPvW++77+fwE/CD8Wfyg/OH9Ff1G/X/9u/3s/g/+LP5M/mz+iv6l/r3+0v7d/t7+2v7V/tL+1v7m/wT/K/9X/43/1AAlAGYAggB+AHcAiAC2APUBNAFoAY0BpwG4AcUB0AHaAeQB6wHsAesB7wIAAhgCLwJGAmkCogLuA0IDlwPyBFMEsgUFBUgFhgXKBhgGcwbaB00HyghGCLMJCQlJCXwJqwnaCgcKNQppCqEK1wsHCz4LiAvmDEMMiwzADPANHg08DTwNJg0LDPwM+Az8DQcNHA05DVcNeg2qDfEOTQ6uDwUPUg+iEAIQbRDSESgRdxHKEh8SZBKOEqMSsxLBEsgSyxLWEvMTIhNXE4QTnBOVE3cTWRNRE1kTURMsEv4S5hLeEsMShBI9EhkSGBIUEe8RvBGoEccSBBI7ElkSZxJxEngSdRJkEksSORI4EkcSWxJvEoUSoBK+EtcS6RL6ExQTPxN2E64T1RPfE8wTsBOmE7gT1xPoE9oTthOTE4gTmBO5E+AUAxQhFDUURRRgFJUU4xU1FXIVmRW7FeIV/hX9Fd4VvBWqFaIVjRVbFREUxhSLFGMUSRQ4FDEUORRVFH8UqhTMFOgU/xUQFRYVEhUJFQEU9hTjFMgUrBSUFHsUXhQ9FBkT+RPcE8QTrhOXE4ETcRNvE3oTjROiE7gT0BPuFBYUQBRbFFgUPxQwFD4UVhRPFBwT5hPAE2ISOg/6DREKhwlICX0KhQuSDDYMfAyaDKsMqQyLDFwMKQv2C7oLcgsjCtQKiAo9CfQJrwlwCTUI+Qi7CHoIOAf0B60HaAcpBvIGwAaOBl8GNgYTBfQF1AWzBY4FYgUxBQAE2QS7BJ4EfwRoBGMEaARnBFMEMAQLA+wD0QO0A5IDbANCAxcC8ALNAqoCiQJsAlUCPgIeAfQBzAGzAaQBkwFyAUYBGQD4AOQA1wDNAMEAsgCfAIQAYAA0AAn/5//O/7X/lP9u/0//P/80/x7+9v7J/rD+sv63/p3+W/4V/fz+If5e/nn+Vv4I/bz9kv2G/YH9cP1T/Tj9J/0c/Qz89PzY/MP8tvyo/Jb8g/x1/Gz8Y/xV/Ef8Ovwu/CH8E/wG+/z78fvk+9T7w/uy+6L7kvuG+3/7fPt6+3P7aPtc+1b7VvtW+1L7SvtG+0n7S/tH+z37NPs0+zn7Pfs6+zX7NPs9+077X/tq+3H7efuF+5H7mfug+6r7uPvE+8r7yvvK+8z70fvY++P77/v3+/r7/PwC/A38GPwg/Cj8M/w//Ez8Wfxq/Hr8ifyX/Kb8t/zJ/Nf85Pzz/QX9F/0k/S/9Pf1N/V39a/15/Yf9mP2p/bf9xP3Q/d396v34/gP+DP4U/h7+Kf40/j/+R/5K/kr+Sf5J/kr+Sv5M/lH+Wf5h/mT+Zf5p/m/+cf5r/mT+Zf5t/nX+dP5w/m/+cv51/nb+eP59/oH+gv6C/oP+h/6L/o7+kv6Z/qL+q/60/rz+wf7D/sX+yP7M/tD+1f7Z/t3+4P7l/u/++/8C/wL/AP8H/xX/I/8r/zH/O/9H/0//Vf9b/2D/Yv9m/3D/fv+J/4z/kP+c/7D/xP/Q/9b/2f/b/+P/8QADABAAFgAYAB4AJgArADEAPABIAE0ASgBKAFQAZQBzAH0AiQCWAKIAqgC0AMMA0gDfAOoA9AD9AQQBEQEqAUQBUAFUAWUBigGuAbYBpwGkAcAB6wIIAhYCMQJiApMCpAKWAokCnQLOAwADGAMYAxYDIgM9A2EDhQOnA8QD3AP1BBkESAR8BK0E3AUQBUMFbQWJBaAFvAXnBiMGbQa3BvEHFQctB0cHYwd2B4AHfgdTBssF5QUUBRYGXgiWCsEL+gwhC9sL5AxxDSkNrg4GDoIPRhAbEKoQ4RDtEPwREREUEO0Qfg+eDkEMrQtdCp8KVgonCd0JjAleCVcJWglSCUYJQQlACTQJEgjaCJMISAgBB8UHkwdpB0MHGwbsBrYGfAZABf4FsAVXBPcElAQwA84DcwMcAsQCZQH/AZkBPQDxALcAiwBjADcAC//g/7L/gP9Y/0//av+N/5T/fP9d/0z/Sf9E/zb/Jv8W/vz+1f6q/pL+n/7O/wn/Kv8i/vz+2f7K/sT+sf6I/lj+Mv4X/f/95f3F/Z79df1R/Tz9Mf0m/Rn9Bvzn/Kz8Uvvw+6b7fvts+2P7avuP+8r8Bfwp/DT8Nvw7/EX8VPxj/HX8iPyb/Kz8u/zH/NT84fzu/Pv9Cv0Y/ST9LP00/UD9Tf1Z/WT9cf1//Yn9jP2M/Y/9lv2e/aX9q/2w/bP9tv2+/cv91v3e/ej99/4E/gz+Ef4f/jX+TP5c/mz+gv6e/rr+0/7v/w3/Kf9A/1n/ef+b/7n/0//vAA0AKQBFAGQAhgClAMAA3QECASoBTQFsAY0BsgHUAfECDQIuAlMCdQKVArUC2AL5AxkDOgNdA38DoQPLA/8ENARbBHEEgASQBJ0EowSkBKYErwS+BM8E3QToBOwE8AT3BP8FAgUCBQIFCAUPBRUFGwUjBS4FOgVFBVAFWgVhBWcFcgWFBZsFrgXCBdsF9gYKBhcGIwYzBkEGSAZMBlgGbQaCBpUGqgbHBugHBgciB2gHhwemB8IH3gf7CBYILghJCGgIhwigCLsI3gkICTAJVwmGCcAJ+gotCloKgwqbCpMKbwo/CgwJyQlyCR8I8QjtCPYI9AjtCPMJAgkHCPwI9Aj7CQkJFAkjCUcJfgmzCdgJ/go9CpQK6QsgCzsLTgtoC4sLsAvVC/sMIAxHDHcMswzrDP8M2wyIDCkL3gulC2sLJQrhCrMKmAp/Cl8KRgpACkUKQAonCgYJ6gnKCZwJZAk1CRoJCQj1COAI0QjECKsIgwhXCDIIDwfiB60HegdIBw4GzQaXBoUGmgbIBwQHQwdyB3wHYAc0BwsG2AZ8Be8FUATIBHIEUwRpBKQE3ATdBJkELQPMA4oDYANBAzMDPANTA2gDcwNxA1UDEwKwAlACFQH/AesBwAGHAWEBXwFxAXwBbwFPASgBBQDtAOUA5gDiAM8AtACfAJMAjQCIAIIAdABMABP/+AA0AMsBdwHtAiQCTQKPAtcC/AL8AvYC/gL8AtQCjgJJAhEBzQFoAOkAcwAb/+D/tf+V/33/Zf9L/zT/Lv85/0r/V/9e/2n/eP+D/4f/iP+O/5z/q/+z/7X/tP+z/7T/uv/J/9//8v/5//D/3//M/7f/nP+A/2n/Xf9Y/1f/V/9X/1b/Vf9W/13/Zf9o/2j/bP91/33/ff92/23/Zv9Z/0X/MP8j/yD/Hv8X/wz+//7z/uX+0v6+/qv+nP6N/nX+VP40/hv+CP3y/db9vP2s/Z/9iP1h/TX9C/zi/LH8fvxP/Cn8AfvM+5D7WPst+wv67PrH+pn6X/og+eL5q/l5+Ur5Hvjy+MD4hvhG+Af3y/eT92D3NPcN9uL2sfaB9lf2MfYD9c31mPVq9UP1H/T69Nn0u/Sc9Hr0WfQ59Bjz9PPL86LzePNL8x3y8vLL8qfyh/Jr8lXyRfI68jXyNfI98kvyVfJK8hvxzfF78UHxIfEH8N/wpfBk8CTv8O/Q78fvyO++76Dvee9e71HvSO867yvvJO8l7yXvHu8R7wHu7+7f7tPuyu7A7rTuqe6k7qTupO6f7pbuke6U7p/uru6/7tHu5e7+7xrvOO9S72vviO+s79Dv7vAE8BnwMvBR8HDwjfCl8LnwzPDm8Q3xQPFw8Y/xm/GZ8Y/xgvGA8Z/x7PJY8r7zBvM181rzevOI83vzW/M18xbzBvMP8zXzdPPC9CD0lPUf9bL2Pfa89y/3j/fW+AT4K/he+J/45Pkj+WT5r/oI+mf6u/r7+yn7Tvtv+4z7n/uv+8r7/Pw+/IT8yP0Q/V/9q/3l/gv+JP42/kP+UP5i/nv+kv6b/pj+kP6I/oH+f/6M/qn+z/71/yT/av/CAA8AMgAsAB0AJQBMAIgAxQD7ASMBPwFRAVsBZAFsAXEBbwFjAVUBTwFZAXMBlgHDAf0CQgKIAsQC/AM7A4kD3AQqBHIEuwUKBV8FuwYlBqQHMQe6CC4IiAjQCQ8JSQl9CagJ0goDCj0KdAqjCtQLFgtqC8AMCAxBDHIMmgyuDKcMkAx8DHQMdgyCDJYMswzTDPENFQ1HDY8N5w5FDqAO9g9KD6MQAhBjEMERGxFzEcYSCxI9EmQSghKWEpsSmBKgErwS5hMVEz4TWRNcE0YTKhMcEx0TGBMDEuwS5RLeErISUhHfEYsRaBFhEVsRVhFeEXkRnhHCEeYSChInEjcSNhIpEhYSBBH9EgYSHRI7ElYSbhKCEpUSqhLFEuYTDRM6E24ToxPGE8QToxN+E3QTjROuE7YTmxNuE0oTQxNdE48TyRP6FBUUHRQoFFAUmRTvFTMVXhV+FZ0VthW5FaUVjRWCFX0VaxVCFQ0U4RTKFMQUxBTDFMIUxhTSFOEU6xTxFPYU/RUDFQIU+xTzFOkU2hTCFKkUkhR8FGAUPRQdFAUT8BPYE7wTnxOFE24TYBNjE3YTkBOmE7YTyBPpFBcUQxRXFEsULxQlFDgUShQ0E/ITrhNsEtYRZw7/DDoKJQl1CggLHQv/DHYMqQzHDNYMxwydDGoMOQwFC8MLdAsiCtUKiwpACfIJqAllCScI6girCG4IMgfzB60HZAcjBu0GugaEBk8GJgYLBfUF2AWzBYoFXwUvBP8E0wStBIoEbARZBFYEWgRWBEMEJgQIA+oDywOrA4kDYwM5Aw4C5QLAApwCeAJbAkcCMQIPAeYBxgG6AbgBqgGGAVMBIAD6AOAAzgDBALUApgCUAHwAXgA5ABH/7f/P/7b/nP98/1n/OP8b/v3+1/6t/o7+hP6I/oX+bP5J/jz+Vv6E/pz+gf47/e39tv2d/ZL9f/1d/Tf9G/0L/Pv85PzK/Ln8svyr/J38ivx5/G38YfxU/Ef8O/ws/Bv8Cfv7+/D74vvT+8T7tvup+5z7kPuI+4D7dvtq+1z7UPtI+0f7SftI+zn7IPsI+wH7CvsX+yD7JPsp+zD7M/sw+yn7Jvst+zr7SPtS+1n7Yvtu+3n7gfuI+5L7oPuu+7j7wfvL+9T72/vf++X77vv1+/n7+vv//Aj8EfwY/CH8Lfw7/Ej8Vvxn/Hj8h/yT/KH8svzC/NH83vzu/QH9Ev0h/S79PP1M/Vr9Zv1z/YH9kf2g/a/9vP3I/dP93/3r/fj+Av4K/hT+H/4p/jD+M/40/jT+Nv46/j/+Qv5D/kb+S/5R/lX+WP5e/mT+Zv5h/lr+Wv5g/mb+Zv5i/mL+Zf5p/m3+cf52/nn+ef55/nv+fv6D/of+jv6W/qD+qv60/r3+w/7F/sj+zf7S/tb+2/7h/ub+6f7u/vj/Bv8P/xD/Ev8e/zD/Pf9C/0f/UP9d/2j/cP92/3j/d/94/4L/k/+f/6H/of+p/7r/zv/c/+T/5//n/+z/+QANAB4AJQApAC8ANwA8AEAASgBZAGUAaABoAG4AegCHAJMAnwCsALgAwADIANAA2QDlAPYBCQEVARoBIgE0AUUBRwFDAVMBggG0AcQBtAGpAcAB6wILAhoCLAJMAmoCcgJvAoMCugL6AxsDFAMDAwkDKQNSA3UDkwOyA84D5AP6BB4EUQSFBLIE2wUMBUEFbgWKBZ4FuQXnBigGeAbIBwMHIQctBzwHVAdmB2sHYQcyBrIF2wUcBTUGnwkBC0oMgwyPDCIMDQyRDVoOAw58DvMPiBAiEJIQyhDdEOgQ+REFEN8QRg8UDX0MBQsfCs4KrQpgCeMJeAlOCVYJZAljCV0JWglXCUgJJgjxCK0IZAgiB+sHvgeSB2QHMgb+BsUGiwZOBgsFuwVdBPQEiQQiA8QDbQMbAskCdgIiAc0BegEwAPUAyACfAHcAUgAvAAT/zf+c/5D/r//h//8AAP/2//P/8//m/8z/sf+a/3z/R/8B/sb+tP7Q/vr/Cf7u/sD+p/6u/rz+rf58/j/+Df3m/cD9mP1t/T/9EPzm/Mj8t/yo/JX8fPxd/DD79vu++5f7hPt5+3X7gfuo++H8Ffwy/Dn8O/xB/E38W/xo/Hb8hvyX/Kj8tvzF/Nf86fz5/QX9Ev0g/S/9Pv1M/Vr9Zf1t/XX9gP2L/ZH9kf2Q/Zb9nv2l/av9sv26/cH9yP3T/eL98P36/gT+Ev4j/i/+Of5K/mL+ev6M/p/+uf7Z/vn/FP8w/07/av+D/5z/uf/Y//QADgApAEYAYgB8AJkAuADVAPABDAEuAVMBdQGVAbYB2wH/Ah0COgJbAnwCnQK8At0C/wMfAz8DYQODA58DuQPeBBMESARsBHwEhgSYBKsEtgS3BLkEwQTQBN4E6gTyBPkE/gUDBQYFCQUMBRAFGAUgBSYFLAU1BUAFSwVUBV4FZwVvBXcFhgWaBa0FvQXQBekGBQYZBiQGLgY9BkwGVQZeBm8GhwaeBrMGywbtBxEHMQdLB5AHrgfKB+AH9wgSCCwIRAhcCHgIkgipCMEI4gkKCTAJVAmACbsJ+gozCmQKkQqzCrcKlQpeCiIJ4QmVCUcJEAj7CP0JAwkLCRUJHgkcCRAJCwkSCRoJGwkhCT8JdAmpCdEJ+Ao6CpoK/wtKC3ELgwuUC60LywvpDAgMKgxUDIoMxgz3DQQM3gyMDC0L2wufC2cLKgrtCsEKpwqRCncKYwphCmcKYgpJCikKCwnsCb0JhAlSCTQJHwkLCPsI9QjzCOQIwwigCIIIYAgsB+wHsAd7B0IHAQbMBr8G3wcbB2EHoQfJB8QHlQdcBzAHAwazBjMFoAUlBNAEpASiBM4FCgUgBOsEfgQPA8UDnQOHA3wDfgOMA54DrAOsA48DSwLqApECXgJHAikB8AGzAZUBngG0AbUBngF6AVYBOQEjARoBGQESAP4A5ADRAMsAyADBALkAqACAAEIAGwBHANQBjQImAoECtwLlAwkDFwMUAxMDFQMEAtYCmwJlAioB1QFhAOUAfQAx//v/2f/J/8D/rf+L/27/Zf9w/37/hv+R/6T/u//G/8L/u/+7/8X/0f/X/9f/1f/W/9z/6f/5AAoAFQAYABMACf/4/+D/w/+n/5T/jf+M/4z/jP+P/5X/nP+f/57/mf+W/5n/of+p/6r/pP+f/53/mf+L/3b/Yv9a/1f/Uf9E/zT/Kv8l/x3/D/79/uz+3f7J/q3+jf5z/mP+U/47/hj9+f3l/dn9xv2l/X39Vf0t/QD8z/yg/HX8S/wb++b7tPuK+2f7RPsa+uT6pfpm+i75/vnR+aT5dvlI+RT41/iW+Fj4H/fq97r3jfdj9zb3BvbX9q32g/ZR9hj14/W69Zr1efVW9TL1D/Tt9Mr0p/SF9GH0OvQT8+3zxPOZ82rzPPMR8unyxvKq8pTyg/J48nHycfJ68ovymvKT8mXyFvHA8YDxWfE38QfwyvCL8FPwJvAK8ALwA+/579jvr++Q74Lvd+9m71XvTO9M70vvQu8y7x7vCe737uru5O7f7tjuzu7H7sPuwu6/7rzuuu677sHuze7e7vPvCu8j7z/vWu9x74Xvm++77+HwA/Ab8CrwOvBR8HDwk/Cz8NDw6vEB8RTxJPE08U3xdvGi8bjxp/GF8YPxwfIt8pjy3/MI8yjzSfNd81jzPvMf8wLy8vL88ynzdvPX9EL0ufU99cb2SvbE9zP3jffF99/39Pge+GD4qfjq+ST5Zvm4+hP6ZPqe+sD61vrs+wb7IPs8+2H7l/vb/Cf8ePzP/Sn9e/26/eX9//4L/g3+EP4g/jz+Vv5d/lT+R/48/jL+L/47/ln+ff6g/s3/FP9x/8H/4//V/7n/tP/SAAcARQCAALIA2ADzAQkBHwE2AUYBSQE+ASwBIgEnATwBXQGNAc0CFgJZAo0CuQLsAywDdQO9BAUEUgSiBPEFQgWjBh8GrQc5B7AIDghbCKII4wkZCUQJbAmbCdQKDQpACnQKtAsAC00LkAvIC/UMEwwaDA0L/Qv3C/sMBQwUDC0MTQxuDI4MtwzxDT0Nkg3rDkMOmg7uD0APmA/4EFwQvBEUEWMRqRHpEiMSUBJpEm0SaBJvEocSqRLNEvATDRMaEw8S+BLmEuES3BLTEtAS3BLhErYSSBG0ES8Q4xDSEOwRFhE6EUoRTBFUEXMRohHMEeER5BHfEdcRzhHJEdAR5BIFEi0SWBJ7Eo4SlRKfErUS1RL8EywTZROWE6cTjxNjE0cTTBNkE3MTZhNDEx0TChMZE0kTixPFE+QT6xPzFBUUVhSlFOgVFxU7FVsVdBV5FWsVVhVHFT8VMhUZFPcU2xTPFNUU4hTpFOgU5hTrFPQU+RT4FPQU8xTzFO8U5hTbFMwUtxScFIMUbxRaFD0UGhP+E+0T3xPGE6QThRNuE1sTUBNWE24TjROgE6cTtRPcFBUURRRSFDwUIRQfFDIUNhQJE7gTaRMSEk0Qqw47C7kKHwnhCqMLogxVDKwM2wz6DQAM4QysDHcMRwwQC8kLdwslCtgKjwpECfUJpgleCRwI3QifCGMIKwfxB64HZgchBucGswZ8BkYGHQYGBfQF2QWzBYgFXgUyBQEEzwSfBHcEWwRNBEoESAQ/BCwEFgP9A+EDwgOiA4QDYgM6AwwC4gK6ApMCbAJOAjcCHwH7AdIBtwGzAbYBqAGDAVABIAD7AN0AxgCzAKIAkQB9AGYATQAzABT/8v/Q/7P/mv9//1z/M/8L/uz+0/65/pz+h/6A/oT+hP57/nH+cv58/oH+bv4//gL90P24/bL9p/2H/Vj9Lv0T/QD86PzN/Lj8rvyp/J78j/x//HD8X/xN/D/8NPwn/Bb8A/vy++P70Pu9+677o/ub+5L7i/uG+4H7d/tp+1r7TftC+zz7Ovs4+y77G/sI+wD7BfsO+xT7FPsV+xr7Hfse+xz7HPsj+y77OftC+0r7VPtg+2r7cft2+337iPuU+6L7svvD+9H72Pvb+9/75vvv+/T7+Pv+/AX8C/wS/B38LPw8/Er8Vvxl/Hb8hvyS/J78q/y6/Mn81/zn/Pj9Cf0Y/Sj9Of1I/VX9YP1t/Xv9if2V/aP9sf29/cf90v3f/e39+f4B/gj+EP4X/hv+G/4b/h3+Iv4o/i3+Mf40/jX+Of4+/kT+S/5T/ln+W/5W/lH+Uf5W/lr+Wf5V/lL+Vf5b/mH+Zv5r/m7+cP5z/nX+ef59/oP+jP6V/p/+qv61/r7+xf7J/s/+1v7c/uD+5P7q/u/+8f73/wP/E/8e/yD/JP8w/0H/Tf9Q/1L/Wv9n/3P/ff+F/4f/hf+F/4//nv+p/63/sP+7/8r/2v/o//X//v////4ABQAWACgAMgA3AD4ARwBLAEwAUABdAGwAdAB2AHoAhACRAJ8AqwC4AMUA0ADZAN8A4QDnAPgBEgEnATEBOQFGAVMBUgFKAVgBiAG+AdUBxwG8AdUCBwIwAkECSAJVAmACXwJhAoMCxQMGAx8DEgMDAxIDPANmA4UDnwO8A9cD7AQCBCkEXASLBK0EzwT/BTkFaQWFBZoFugXvBjUGhQbTBwwHJAcpBzEHRAdSB08HPQcNBpYFzQUdBUwG4Al8C/oNTQ1RDMQMiwz4DcYOjA8dD4IP0xAaEFoQlBDAEN4Q8RD1ELkP9Q6UDPULsgslCxIK8Qp5CdYJZAlJCV8JdwmACYMJhAl7CWIJOwkICMkIgghACAsH3wexB30HRwcSBt8GpgZnBh4FygVmBPYEgwQbA8ADcAMkAtgCjgJHAf4BsgFqAS0A+wDPAKcAhwBwAFMAKv/+/+0ABAAxAFoAdACKAJ8ApQCNAFsAJf/6/9H/lf9D/vP+xP7E/tn+3P6+/pj+j/6o/sH+tf5+/jX98v22/Xz9Qf0J/NL8nPxt/E38O/wv/B38Bvvs+8/7sPuX+4v7i/uQ+5X7pPvC++78Fvww/D38RvxQ/F78avx1/ID8jfyc/Kv8uvzL/N788Pz8/QT9DP0c/TL9Sf1e/W79ev2B/Yj9kP2X/Zn9mP2b/aT9r/20/bf9vf3I/dP93v3s/f3+Dv4b/if+OP5L/lv+aP55/pL+rf7F/t/+/v8i/0P/YP99/5z/uf/S/+oABAAeADQASgBkAIEAnQC3ANEA7gEMASYBQQFgAYIBowHCAeICBQImAkQCYQJ/Ap0CuwLaAvwDHQM8A1sDfQOfA7oD0wP2BCgEWwR8BIsElwSrBMEEywTKBMkE0QTeBOkE8gT6BQIFCAUMBQ8FFAUaBSIFKQUvBTUFPQVHBVEFWQVhBWsFdgWABYoFmQWrBbwFywXcBfUGEAYlBjEGPgZSBmcGdwaIBp4GugbSBucHAQckB0YHYAd2B6kHxQfeB/AIAwgcCDcIUAhmCH8ImQiwCMoI6wkRCTUJVAl8CbQJ8gopCloKjgq/CtYKwAqECjkJ7wmkCV0JLAkaCR8JKAkrCSwJLQkrCSUJIwklCSYJIgkkCT0JbgmlCdMJ/go7CpULAAtfC5wLuAvCC88L5AwADB4MPgxoDJsM0gz7DQQM4QyYDDwL5wumC3ALOAr/CtAKsgqdCowKgQp/CoIKeQpjCkgKMQoUCeUJqQlyCU0JNQkiCRkJHAkhCRUI9wjYCMIIqQh+CEMICgfWB50HXwcxBysHTweGB7wH5gf1B9sHnwdnB04HQwcXBrMGMwW9BV4FFQTtBPoFMQVXBTUEzARVBAMD3gPPA8YDwgPHA9QD3wPeA8ADfAMfAs8CoQKHAl8CHAHdAccB2QHuAeYBwQGYAXkBYQFNAT8BOgEzASIBDgECAP8A+wDxAOYA1QCxAHUAQgBRAMEBcwInAqwC+AMWAxkDFQMdAy4DLwMMAtACmgJ0AkIB6QFvAPcAmgBYACcACgAEAAT/8v/N/67/p/+y/77/xf/Q/+T/9v/8//P/6P/k/+f/7f/x//X/+QAAAAoAFgAhACcALQAyADcANAAlAA3/8f/a/8v/xf/D/8L/w//I/9D/2P/a/9T/zv/P/9j/4P/g/9b/y//G/8b/wf+x/57/kf+O/4z/gv9x/2T/YP9g/1r/TP85/yb/E/79/uT+zP64/qj+lf55/lf+Of4k/hb+Bf3q/cb9n/12/Ur9G/zs/MD8lPxo/Dv8D/vk+7z7kvtj+yz67vqz+oD6U/om+fj5yPmX+WH5Jfjn+Kz4dfhA+A333/e094j3W/ct9v72yvaR9lj2LPYO9fb12PWx9Yj1YfU79Rf08vTM9KX0f/Ra9Db0EfPn87rzjPNd8zDzCfLq8tTyw/K28q3yrPK38s3y4/Lj8rnyZ/IL8cLxkfFn8TTw+PC+8I3wY/BH8DvwOfAt8A7v5e/E77Dvn++M73vvcu9w72zvX+9O7zvvKe8X7wvvBu8D7v/u9e7s7ubu4+7j7uPu5O7n7uvu9e8F7xvvMe9I72Dvee+P76Dvsu/M7/DwF/Az8EHwSfBX8G/wkfC28N7xB/Ep8TbxKvET8RbxSPGX8c7xx/GT8XLxlfHx8lPyl/LA8uTzCvMl8yrzHvML8vby5/Lv8xzzbvPX9Ev0yPVM9dH2T/bE9y33gPeu97v3w/fk+CX4cPiz+Oz5KPlw+cD6Cvo9+lX6XPpi+nP6j/qz+t/7GPte+6/8Cfxo/Mf9Hf1j/Zb9tv3E/cT9xv3a/fz+Gf4f/hD9+v3o/dv91/3l/gX+K/5Q/oD+zP8r/3n/lf9//1n/Rf9T/3v/tf/2ADYAbgCdAMgA9AEgAUEBUAFLATwBMAExAT8BWQGBAbgB+AI1AmgClALFAv8DPgN+A8MEDgRcBKYE8AVJBbkGPQa/BzIHkQfiCC0IcQioCNMI+gknCV4JmgnVChMKWAqiCuYLHwtLC20Lfwt+C3QLcQt9C48LnwuuC8UL4gwDDCcMWgyiDPcNTQ2gDfEOQA6LDtUPJw+JD/MQVxCsEPcRQhGPEdcSEBIvEjkSOhJCElUSbRKGEqMSwRLWEtcSyBK5Eq8SphKbEpoSrRLDErASVhG+ERsQpRCCEKkQ8BEgER0Q/BDpEQERNBFlEYARixGSEZkRnhGjEaYRqxG/EfISQRKMEq4SoRKGEoASmRLEEvMTIhNNE2UTXxNFEywTIhMjEyUTHhMMEvMS4BLmEw0TSROAE58TqRO1E9kUFRRbFJoUzBT0FRgVNBVDFT4VKhUTFQUVART9FO0U0xS/FL4UzBTZFNgU0BTRFN8U7xTzFOwU5BTcFNMUxhS3FKUUjhRzFFsUShQ6FCAUARPnE9YTwxOlE4ITaRNaE04TRBNJE2ITgxOUE5YToRPMFAwUPhRFFCwUFhQbFC0UHxPdE4QTMxLLEeAQGg2yC3gKRgpVCygMCQyZDOMNEg0sDSQM+gzCDI0MVwwWC8kLdQsjCtQKigpCCfcJqAlaCRQI1AiWCFcIGwfjB6kHZgchBuIGqgZ0BkEGGQYABe0F0wWtBYIFWQUuBP4ExwSRBGYESQQ8BDgEMQQkBBMEAQPsA9EDsQOVA3wDYAM6Aw0C4gK5ApACZgJEAioCDwHqAcABpAGbAZgBiAFlATsBFgD2ANkAvgCnAJMAfQBlAEwANgAjAA3/8P/O/6z/kf93/1f/Lv8F/uz+5P7d/sv+rP6Q/oH+gf6D/n3+bf5a/kn+OP4g/f393v3T/dv93/3G/Y/9VP0q/RH8+fzd/MT8tPyr/KD8kvyE/HP8XfxF/DL8J/wc/A77/fvt+9v7xvuv+577lPuO+4f7gPt8+3n7c/tq+177U/tH+zr7MPsq+yb7IPsY+xX7FvsV+xL7DPsI+wn7C/sO+xH7Ffsa+yL7K/s2+0L7T/tc+2n7cft2+3n7f/uI+5X7pPuz+8D7yPvM+9L72vvj++v78vv6/AH8B/wO/Bv8L/xC/E/8WPxj/HL8gvyN/Jf8ofyv/L/8z/zg/PD8//0N/R39Lv09/Ur9Vv1l/XP9f/2J/ZX9o/2w/br9xP3T/eP98P32/fr9//4E/gf+B/4K/g7+Ev4V/hf+G/4f/iL+Jv4r/jT+P/5J/lD+T/5K/kX+Rv5M/lH+T/5K/kf+SP5O/lT+Wf5e/mL+Z/5t/nP+d/58/oP+jf6Y/qH+qv61/sH+yf7Q/tf+3/7l/ur+7v7y/vb++f8A/w//H/8o/yn/Kv80/0P/TP9Q/1P/W/9l/2//ef+D/4r/jf+R/5n/o/+q/7D/u//M/9v/4//s//wADgAVABIAEwAfADAAOgA+AEUAUgBbAFsAWABbAGQAbQByAHcAggCSAKAArAC2AMIA0gDkAPAA8wDyAPsBDwEmATYBQQFRAWIBaQFpAXcBngHLAd8B1QHPAeoCHQJHAlcCXAJpAnoCgQKDApYCwwL1AxIDFQMXAysDTgNuA4gDowPDA98D9AQOBDgEaQSPBKYEwgT0BTEFYAV8BZUFwAX/BkcGkwbbBw8HJQcnBysHOQdBBzcHIAbxBoQFyQUmBWYHFQnUDHUN5A32DWoNIw16DjgO/Q+OD90P+BAAEB0QXxCsEN4Q5xDEEFkPcQ4NDJMLkQs6CzULAQpzCdEJcwlrCYgJoAmtCbgJuQmmCX4JTwkdCOAImghVCB0H7wfAB4wHWAcqBvwGxAZ/BjAF2QV0BQIEjAQiA8oDgAM3AuwCowJfAhsB1wGWAWABMwEHANsAuACjAJIAfABiAFUAYAB+AKUA0AEAASoBNgETAMoAdQAs//D/sv9m/xf+4P7Q/t3+5P7R/rP+qP65/sv+vP6C/i791P17/Sf82vyZ/F78KPv6+9/71vvS+8n7uvuq+5j7hft2+3b7hfuc+7D7wvvW+/D8EPwu/Eb8WPxm/HP8gPyM/Jj8pvy1/MT80vzg/O78+fz9/P/9B/0c/Tn9Vf1s/X39if2R/Zf9nP2h/aL9pP2r/br9yP3Q/dL91/3h/e39+f4I/hv+Lv49/kz+YP50/oX+kv6i/rr+2P70/xL/M/9X/3n/mP+3/9f/9AAOACUAPQBUAGgAewCUALEAzgDoAQIBHgE7AVYBbwGLAaoByQHnAgUCJAJDAmECfgKcArkC1QLzAxUDNgNTA28DkAOzA9MD8AQSBD8EawSJBJoEqgTABNME2ATUBNME3AToBPIE+gUCBQsFEQUVBRkFIQUqBTIFNwU8BUEFSgVUBV0FZQVuBXoFiAWSBZsFpwW4BcoF2wXuBgYGIAY0BkQGVwZxBowGpAa6BtQG7wcHBxwHNgdUB3AHggeSB7YHzwfkB/QIBwgiCEAIWghyCIoIpAi8CNcI9wkcCTsJVwl6Ca0J5gobCk4KjArPCvgK6gqpClIJ/AmsCWYJOAksCTgJRQlFCT8JPQlBCUIJPQk3CTIJLwkzCUcJcAmoCeAKEgpFCowK6wtSC6QLzwvaC+AL9AwWDDsMXAyCDLEM4w0JDREM8gytDFAL9QusC3YLRgsSCuEKvgqqCqIKnwqgCp0Kkgp+CmwKXApCChIJ0wmYCXAJWAlKCUgJUAlWCUgJKAkLCP0I8wjbCLAIfghICAwH0weyB7gH1wf2CAgIDggCB9YHlAdoB3IHmwemB2kG9wZ2BfoFiAU2BScFWwWSBYQFJASoBE4EJwQZBA4EBAQDBAoEEQQKA+cDpANQAwsC5QLLAp0CUwIQAfgCCQIbAgwB4AGzAZQBfQFoAVcBTQFFATkBKwEkASMBHwEUAQgA/QDjALIAewBtALIBRgIBAqgDDwMtAx4DEwMpA1ADVwMoAt8CqgKNAl8CAgGEARIAxACNAGIARgBAAEAAMQAR//f/8//8AAUACgARAB0AJQAiABoAEwAPAAsACQAMABUAIQAuADoAQwBFAEMARABNAFcAVwBKADUAIQARAAX/+//1//T/9//8AAIABgAGAAMAAwAKABMAFgAO////9P/z//P/6//b/8v/xP/D/7//tP+o/6L/o/+j/5r/if91/2D/Sv80/yD/DP71/tv+v/6k/o3+eP5l/lL+Qf4r/g395/28/Y/9Yv00/Qb82/yz/I38ZPw4/Ar72/up+3P7OvsE+tT6qPp8+k36G/nm+a75dPk7+QP4y/iU+F/4L/gE99r3rfd890f3C/bP9p32fPZo9lP2MvYG9dj1rfWF9V71N/UQ9On0xfSk9IL0XfQ29Avz3vOt83rzTfMt8xjzB/L48u3y7fL88xnzNvM68xHyvfJZ8gXxy/Gb8WnxMvD98Mzwn/B98GzwZvBb8D/wGe/2793vyO+z76Hvlu+P74TvdO9k71fvSe867y7vJu8j7x7vFu8M7wbvA+8C7wTvCO8O7xbvIe8w70LvU+9k73nvku+r78Dv0O/l8APwJ/BG8FfwX/Bq8H/wnPC88ODxDPE78VjxT/Ep8RDxK/Fz8bLxt/GL8WPxcPGv8fnyMvJf8o/ywPLk8vLy8/Lu8uXy3vLp8xfzafPR9EX0w/VL9dH2Tfa89x73aPeP95b3mPez9+74OPh/+L34+vk9+YT5xvny+gP5/fn0+ff6C/os+lT6hvrI+xr7dvvW/Db8j/zf/R/9TP1j/Wz9d/2Q/bX90/3a/cv9s/2b/Yj9gf2P/a/91/4B/jf+hf7f/yb/QP8v/w7+9v70/wr/OP98/8kAEgBRAIoAwwD7ASsBRwFOAUUBOwE6AUUBXAF7AaQB0wIDAjECXQKOAsQC+gMyA3EDvAQNBF8EsQULBXEF3gZIBqkHAgdVB6UH6wglCFEIdwiiCNgJFQlWCZwJ6AoyCnAKnAq5Cs4K2greCuEK7wsLCykLPwtPC2ELeQuYC8MMAgxUDK4NAw1QDZoN4Q4lDmkOuw8fD4sP7RA/EIsQ2REsEXoRuBHiEfkSBxITEiESMBJBElgSdRKOEpgSlhKPEogSexJoElwSZhKBEosSWxHgEToQqRBrEIwQ1hD/EOQQpBB+EJAQxhD9ESQRPhFTEWURdBF9EXgRaRFqEaYSHxKfEtoSuRJyEksSXhKSEsMS5xMCExgTIhMiExoTDRL8EusS4BLYEssSuRK1EtETBxM8E1wTahN5E5sT0RQSFFMUixS2FNcU9RUPFRoVDhTyFN0U3xTtFOoUzRSoFJwUrRTFFMwUwRS7FMQU1BTYFM4UvhSxFKUUmBSKFHwUaRRSFDwUKxQdFAcT7RPVE8ATqBOHE2cTVRNPE0cTPRNAE1kTeBOHE4YTjxO7E/sUKhQuFBcUCRQVFCEUCBPBE2sTHBKjEZMPrw1UC1gKcgqwC4UMTwzMDRMNPw1QDT0NEQzhDK8MbwwgC8oLdAsfCsoKfAo4CfUJqAlVCQkIyQiKCEUIAwfNB50HZQcjBt8GogZtBj4GFQX4BeIFxwWiBXYFSgUfBPEEvASFBFYENgQmBB8EFgQJA/sD7QPaA70DnAOAA2kDUQMuAwYC3wK6ApICZQI+AiECBgHjAbgBkwF9AW8BWwE/ASEBBwDuANUAvAClAI8AdwBcAEAAKQAXAAX/7v/O/6v/jP9x/1P/MP8M/vf+9f76/vH+0P6h/nr+bf51/n/+df5U/i7+Ev4A/fD94v3j/fb+Bv31/b39eP1D/SP9DPzz/Nr8yPy5/Kn8l/yH/HX8X/xF/C78IPwV/An7+fvq+9r7xPus+5n7j/uJ+4L7evtz+2/7avti+1n7UvtJ+z77Mfsm+x77GPsV+xT7FPsT+xH7DfsL+wj7BvsG+wn7DPsP+xL7G/sn+zb7RvtX+2n7ePuA+4T7ifuQ+5j7oPuo+7D7uPu/+8f7z/vX+9/76Pvx+/j7/fwF/BT8K/xA/E38VPxc/Gn8d/yC/Ir8lPyi/LX8yPzb/Ov89/0D/RH9H/0t/Tn9R/1X/Wb9cf16/YX9lP2h/az9tv3F/db94/3p/ez97/3z/ff9+/4B/gb+CP4G/gT+B/4N/hP+GP4d/if+NP5A/kb+Q/49/jf+Of4//kT+Q/5A/j7+Qf5H/k3+Uf5U/lr+Yv5r/nP+ef6A/on+lP6d/qX+rf63/sT+z/7X/tz+4v7p/vD+9v75/vr+/v8H/xb/I/8o/yj/Kv80/0H/S/9T/1z/Zv9t/3L/eP+C/43/l/+g/6j/rf+t/7H/wP/U/+D/3//g//AABwAWABYAFwAjADMAOgA6AEEAVQBoAG8AagBnAGoAcAB0AHsAhwCXAKYArwC0ALwAzADmAP0BCAEGAQMBCgEZASUBMAE/AVYBbAF9AY8BqgHEAc8ByQHIAd8CBAIeAigCOAJhApoCwQLJAsICygLnAwkDIwM0A0MDUwNlA30DnQPBA+AD+QQYBEUEdASSBKIEuwTsBSkFWgV6BZ0F1AYaBmEGpAbjBxIHJwcpBy4HPQdGBzsHIAbtBn0FyAUyBX0HLAneDHUN7g4qDdUNsw4HDqEPPA+yD/MQAg/9EBUQXxC4EOMQxxBpD8kO0Q2MDE0LewswCxwK3wpmCe4JtAm2CckJ1QncCeMJ3Qm9CYoJVQkiCOgIpQhhCCkH+gfKB5gHaQdABxQG2QaPBj0F5wWHBRkEowQ6A+UDngNTAwECrgJjAiEB5QGxAYoBaQFFARgA7ADNAL4AuAC0ALUAvQDNAOgBEwFKAXkBhgFlARoAuQBYAAT/vP97/z//E/8F/xP/I/8a/vn+1/7H/r/+pv5r/g/9oP0s/MD8avwp+/T7xfui+5P7lvue+5/7mfuQ+4P7b/td+1z7c/uZ+7z70fve++78Cvwu/FD8Z/x1/IH8kPyg/LH8wvzV/Of89/0D/Qz9EP0Q/RH9Hf0z/U/9af18/Yv9mP2h/ab9qv2u/bH9tf2+/c/94v3v/fX9+v4C/gz+F/4m/jn+TP5d/m3+gf6W/qf+tP7E/t3++/8Z/zX/VP91/5f/t//X//cAFAAsAEQAXAB1AIwAogC7ANgA9AEOAScBQgFeAXgBkAGqAccB5AIBAh4COwJZAncClgK2AtQC8QMPAzADUQNtA4gDpQPIA+sEDAQuBFMEdgSQBKQEtwTLBNgE2gTYBNwE6QT2BP8FBgUOBRYFHQUiBScFMAU4BT8FQgVGBUsFVAVdBWcFcAV8BYwFnAWnBa8FugXMBeIF9wYMBiIGOQZOBmAGdgaSBq8GyAbfBvgHEgcpBz4HVgdwB4YHlAehB8EH1wfpB/oIDwgtCE4IbAiGCJ8ItwjLCOEI/gkgCT4JWAl4CaYJ2woQCkoKlArjCxEK/wq1ClYKAAm2CXQJRgk6CUkJWwleCVgJVwlfCWEJWAlJCUEJRAlMCVoJeQmuCe8KKApTCoMKzgszC5QLzQveC+YMAAwtDFoMfAycDMoNAA0rDTcNFwzMDGUL/AupC3ILSgsgCvIKzAq6CroKwwrICsQKtAqfCo4KfwplCjcJ+wnECaEJjwmICYoJkQmRCX8JXwlICUUJSglECScI+Qi+CH8ITQg9CE4IZghoCFYIQAgmB/YHuAeYB78IFQhPCDEHvwckBoEF5wV4BV0FlQXeBeIFiwUKBKUEcgRdBEwEPwQ9BEIEQQQvBAUDwwN7A0MDJwMUAugCnAJQAikCLQI3AigB/gHSAbABlgF8AWUBVgFOAUUBOwE4AToBOwE1ASwBJQEXAPUAxwCpAMUBMAHaAo0DCwM0AyMDGQM9A3YDiANYAwsC0gKtAnMCCAGIASIA5gDAAJwAfwBzAG8AYwBNADoANQA5AD0APwBEAEoASQBDAD8APgA7ADIAKgAuADsATQBcAGgAbwBuAGgAZwBuAHcAdQBoAFgATABDADUAJgAdAB8AJQArAC0ALQAvADEANQA3ADcAMAAlABwAGQAcAB4AGQANAAP//P/4//L/6f/k/+P/4v/b/87/vv+t/5r/g/9s/1n/Rv8r/wn+6f7W/s3+wv6s/pL+e/5p/lH+Lf4B/dT9p/16/Uz9Ivz9/Nr8s/yE/FL8H/vt+7r7h/tW+yn6//rU+qX6cPo2+fr5wfmM+Vf5IPjn+LH4gvhX+Cv3+vfE94r3TvcX9u/21/bE9qr2gvZS9iP19/XN9aP1evVT9TD1EPTx9ND0qvSD9Fv0L/P788LzkvNy82DzUPM/8zLzNPNJ823zjPOQ82TzDvKm8kryBvHR8aHxcPE+8Qvw2PCv8Jrwk/CK8HDwTPAq8BDv++/l79DvwO+x76Dvju+A73bvau9a70rvQO867zXvLu8m7yDvHe8c7x3vI+8t7zrvR+9U72DvbO9975bvt+/Y7/Dv/vAI8BrwNvBS8Gbwc/CD8Jvwt/DO8OLxAfEy8WPxdvFf8TnxLvFN8XbxhPFx8VzxYvGA8abxyfH18jDybPKX8q3yufLC8sbyzPLk8x3zcvPV9ED0uPU+9cf2Q/at9wb3R/do92/3c/eL97/4BPhO+Jb42/kf+WD5mvnE+dL5xfmu+aT5rPnD+eD6CfpE+pD65vs++5f78PxF/JD8yfzv/Qn9I/1D/Wb9f/2H/X/9bv1Y/UT9Ov1D/WD9iP22/e3+M/5+/rn+2v7i/t7+2P7V/t3+//8//47/2QAVAEgAfQC5APUBJAE8AT4BNgEyATgBSAFdAXcBlAG0AdoCBgI3AmoCmwLOAwwDWwO4BBsEfwTgBTsFjQXWBh0GZwa4BwwHWQeZB8gH7wgZCEsIhgjGCQsJVwmiCd0KAQoVCiUKOApNCmMKfwqkCsgK4wr1CwULGgs8C28LtgwKDFwMpQzoDS0Ndg2/DgwOZA7IDy0Phw/XECUQdxDJERIRUBGCEagRwRHQEdoR5BHzEgoSJhJAElISWhJdEl0SVhJEEi4SJRIzEkoSQRHxEV4QwRBrEHkQuhDZEKwQWRAnEDIQZhCfEM8Q+BEZES0ROxFDETwRIxEcEWER/BKkEu8SvRJTEhISIRJdEpISshLHEtwS7xL9EwES9xLfEsYSuBK1EqwSlhKGEpUSxhL/EyYTORNGE18TjBPNFBUUVRSAFJgUsBTSFO4U7xTTFLgUuhTQFNcUuBSKFHUUihSxFMUUvhSwFKwUsRSuFKEUkBSEFHoUbxRkFFoUTBQ4FCIUDhP9E+kT0hO8E6cTkBNzE1oTSxNEEzwTNBM5E1ITbRN1E3ATehOmE+QUDhQSE/8T9xQDFAsT8ROyE2gTGBKFEU4PWA0UC1MKqAsBC80MgAzwDTINWw1kDUwNJQz/DNEMigwuC9ILfAskCsgKcwowCfIJpglPCP8IvwiBCDsH9Qe+B5YHaAcpBuEGoAZpBjoGEQXyBdkFvQWVBWUFNAUJBOAEsQR9BE0EKAQSBAUD+QPrA98D1QPGA6sDiQNpA1ADNgMXAvQC1gK4ApMCZQI5AhgB/gHeAbUBigFnAU0BNgEgAQsA+ADkAM8AugCnAJQAfABgAEMAKgAWAAT/8f/X/7X/kv9z/1j/Pf8i/w7/Bv8G/v3+4P6t/nz+Z/53/pb+nv59/kP+E/38/fL97P3r/fn+Cf4A/dH9kP1a/Tn9Iv0L/PT84fzR/Lv8ofyK/Hf8ZPxN/Df8JfwX/Af79vvn+9f7w/us+5n7jvuK+4X7fPtz+2r7YPtV+0r7RPtA+z37Nvsr+x37EfsJ+wf7CfsN+xH7FPsT+w77B/sD+wP7BfsE+wX7CvsV+yP7MvtG+137c/uE+477l/uf+6X7pfum+6v7tPu++8X7y/vQ+9b73fvl++v77/v2/AX8Gvwu/Dv8RPxN/Fv8afx0/H38h/yX/Kr8v/zT/OP88Pz6/Qb9Ev0f/Sr9Nv1F/VT9Yf1r/Xb9g/2R/Zz9qP23/cf90/3a/d794f3l/en97/33/f39/f35/fb9+v4C/gn+Df4S/hv+KP4z/jn+OP4z/i/+L/4y/jT+NP4z/jX+O/5D/kn+Tf5R/lj+Yf5r/nX+ff6F/o/+mv6j/qj+rv64/sb+0/7Z/tr+3P7j/u3+9v75/vv+//8K/xf/IP8j/yb/MP9A/03/Vv9h/3H/gP+H/4b/hv+M/5b/ov+v/7n/vP+4/7f/wf/S/9r/1f/S/9//9gAFAAkADwAgADIAOAA0ADkATwBrAHsAfgB+AIQAiwCQAJQAnQCqALYAvgDAAMMAzQDjAP8BEgEUAQ0BCwESARsBHwEmAToBWQF5AZMBpQGxAbUBtgG8AcwB3AHgAeICAQJMAq4C9gMHAvAC3QLrAxIDOANKA0sDSQNRA2kDjgO3A9oD+QQfBE4EewSWBKMEuQTmBSEFVgWDBbcF9wY8BnkGrQbfBwcHGgchBy4HSAdeB1wHPAb1Bm8FswUqBYUHKAmtDBMNhA33DgAOKg6QDwIPXw+qD+oQFhAzEFoQmhDSENAQgA/yDzkOTw08DDILcwsSCuUKsQppCioKDQoHCgUJ/gn6CfUJ4Qm4CYAJSQkVCN4IowhrCDoICwfYB6MHdAdOByMG6AadBkwF+AWdBTMEwgReBA0DxQN0AxUCtQJhAh0B5gG9AaEBjgFzAUoBGQDwAN4A4gD1AQoBGQEhAS4BSQFuAY8BmwGLAVoBCQCeAC//1f+Z/3L/Wf9R/1r/Y/9T/yL+4/6w/o7+av4s/cr9TPzJ/Ff8BfvQ+6n7ift2+3b7hPuT+5j7lvuP+4D7ZvtP+037afuW+7770/vZ++T7/fwk/Er8Zfx0/IH8kfyl/Lj8zPzj/Pz9E/0j/S39Mv01/Tr9R/1b/XH9g/2S/aH9r/25/b79wv3G/cr9zf3T/eH99P4H/hP+G/4i/ir+NP5C/lT+Z/55/or+n/61/sj+2P7r/wX/Jf9C/13/ev+Z/7n/2P/2ABQALwBHAF0AdwCSAKwAxQDfAPwBFwEwAUcBXwF5AZMBrAHGAeIB/gIaAjcCVQJ0ApECsALQAvADDQMrA0oDawOKA6UDwAPfBAIEJARGBGYEggSZBK4EwgTRBNkE2gTeBOkE+QUFBQwFEgUbBSUFLAUyBTgFPwVFBUkFTgVTBVcFXgVmBXIFfwWOBZ8FsAW+BckF2AXtBgUGHAYwBkQGWgZuBoAGlAatBsYG3AbwBwUHHAczB0gHXgd1B4sHnAesB8wH4AfzCAYIIAg/CGEIgAibCLQIxgjTCOMI/wkjCUUJYgmBCaoJ2QoMCksKnQrwCxYK8gqVCjEJ5wm1CYgJYwlVCWMJdwl9CXgJdQl5CXoJbQlcCVYJXglpCXMJhwm2CfoKNwpdCn0KuQsbC4QLyAvgC+0MEAxIDHsMnQy6DOgNJQ1ZDWkNRQzxDH0MAwuiC2cLRQsmCv0K1wrGCs8K5Qr0CvAK3ArBCqsKlwp6Ck4KGwnyCdwJ0wnQCc8JzwnHCbIJmAmMCZQJpQmpCZQJaQkuCPMIzQjMCOMI8QjdCLcImwiKCGkIOAgiCFIItgj+COQIZAesBusGPQXGBasF6wY+Bk4F+wV1BQAEugSVBH0EcQRxBHYEbwRRBB8D3wOgA3MDYQNZAzgC8wKeAmICTAJIAjsCHAH2AdIBsAGNAXABXgFVAU4BSAFJAVMBXAFeAVkBUgFHATIBEwD4AP4BQgHKAm8C8gMoAyUDJANQA5EDqwOCAzgC+ALCAnQB/gGCASwBAgDpAMwArwCgAJkAjQB7AGsAZABhAGAAYgBpAG4AbABmAGUAZQBgAFUATgBWAGkAewCHAJAAlwCYAJQAkwCXAJsAlwCLAIAAeQBvAF8ATQBFAEkAUwBXAFUAVABYAF4AXQBVAEcAOwA0ADQAOAA+AEIARQBEAD8ANwAuACUAHwAcABcADwAC//X/6//f/83/tP+c/4v/fv9q/0//Of8v/yv/HP78/tf+u/6p/pT+cv5H/hr98P3E/Zf9bv1J/Sb8/fzN/Jn8Zvw1/AT71fuo+337U/so+vj6wfqC+kL6CPnV+aT5b/k4+QT41/iq+Hj4QPgE98r3lfdq90z3Nfcc9vf2yfaZ9mz2QfYV9er1wfWd9X31YPVB9R70+PTQ9Kj0evRC9Abz1/O686rzmvOG83jzf/Ob88Hz3PPY86jzUvLr8ovyPvIE8dTxqvF98UnxEvDl8M/wx/C88KPwf/Bf8EjwNPAe8Abv8e/d78nvuO+p75zvjO9372PvVe9O70jvQu887zjvNe817zjvQO9N71zvaO9w73nvie+n79LwAvAo8DvwO/A18DfwRvBb8G/wf/CT8K/wz/Dl8O3w+vEe8VbxgvGJ8W3xTvFH8VPxYfFm8WfxbPFw8XDxefGc8dbyE/JA8l3ydfKL8pzyr/LW8x3zefPZ9Dr0pvUn9bH2MPaY9un3IPc+90r3VPds95j31vgh+HP4wvkH+UL5d/mg+bL5pvmM+Xr5e/mK+aL5x/n++kX6kvrc+yb7dfvG/A78SPx2/KD8yfzv/Qv9G/0g/R79Gf0P/QP8/v0I/SL9R/1z/aX92/4O/jn+YP6J/rP+0/7k/vT/FP9P/5T/z//4ABgAQgB/AMkBDAE1AUABNQEjARYBEQERARgBJgE/AWIBjwHEAfoCMAJpAq8DCQNyA+EETQSvBP4FOwVsBZ4F2wYnBnoGzAcTB0kHcgecB80IBAg+CHsIvwkGCUEJZgl7CZEJsgnbCgEKIwpECmUKgwqaCq4KyArxCy0LeAvFDAYMOwxxDLQNBg1gDb8OHw5/DtgPKA94D8wQIBBqEKcQ3hETEUERXhFrEXIRfxGVEbIR0xHzEgsSGxIjEigSKxIlEhIR+RHvEf4SDBHjEWgQxBBTEEgQgRCiEHkQKQ/zD/cQHhBMEHoQqBDNEN8Q6BDxEPIQ4hDiES0RzhJ6EsMSiRIWEdIR4xIhElgSehKVEq8SxBLQEtMSyxK4EqISmBKZEpMSexJiEmMSiBLAEu0TBhMTEygTUBORE98UIRRFFFQUZhSLFLMUvxSnFIkUhRScFKoUlBRoFFAUYhSMFKsUrhSgFJUUkRSMFIAUdBRrFGIUVhRHFDoULBQbFAYT8BPbE8cTsROcE4oTdxNiE04TPhMxEyUTIhMwE0sTXRNbE1ITXhONE8oT8BPyE+MT3RPnE+sT0xOgE1wS/RJGEO4O+gzlC2wK+wtnDCEMtA0LDUMNaQ1xDVcNMg0PDOEMlww5C94LiwszCtEKdgowCfIJpwlQCP4IvgiDCD8H+gfDB5sHbgcvBuYGogZpBjgGDQXtBdQFtgWLBVUFIAT1BNAEqAR5BEkEIQQFA/ED3gPMA78DuAOuA5kDeANWAzgDHQL/AuECyAKwAo8CYQIyAg0B8QHUAa0BgQFZATkBIAELAPcA5ADRAL8AsACiAJEAegBhAEcALgAXAAb/9v/j/8f/ov9+/2L/UP9C/zP/Iv8S/wD+5f66/oz+dP6F/q/+w/6k/mH+KP4S/hT+EP4C/fj9+f3y/dL9oP1y/VT9PP0i/Qn89fzk/M38sPyU/H78bPxY/EP8L/wc/An79Pvj+9L7v/up+5b7jfuK+4b7fvtz+2f7WvtL+z77NPsx+zH7Mfsr+x/7EfsH+wT7CPsO+xT7F/sV+w77BvsB+wL7A/sB+wD7AvsH+xD7HPsu+0b7Xvty+4P7k/uh+6n7qfuo+677ufvD+8j7yvvN+9L72Pvd++H75vvt+/j8CPwY/CX8Mfw+/E38XPxo/HL8fvyO/KD8s/zG/Nj85vzx/Pz9Cv0X/SL9K/02/UP9UP1b/Wb9cv1//Yz9mf2o/bb9wv3M/dL91v3Y/dn93f3l/ez97v3s/ez98v36/f/+Av4H/g/+Gf4i/ij+LP4s/iv+Kv4p/in+KP4p/i3+NP48/kL+R/5O/lb+Yf5s/nf+f/6I/pH+mv6i/qb+qv60/sL+z/7U/tH+0P7W/uP+7/7z/vb+/f8K/xb/G/8e/yr/P/9V/2D/Y/9r/33/kP+Z/5f/k/+U/5r/o/+v/73/xf/E/8D/w//P/9j/2v/c/+f/9v/+//8ABgAbADEAOQA1ADcASQBhAHMAfgCKAJgApQCtALAAswC5AMIAzADSANQA1QDeAPIBBgEOAQ4BEgEgATABNQEyATkBUwF6AZsBrQG1AbwBxwHYAegB7gHpAeoCDAJaArwDAwMSAvkC5ALzAx4DQwNNA0IDOAM+A1gDfwOqA9MD+wQmBFUEfwSbBKwEwQTnBRsFVQWSBdMGFQZOBngGmwa/Bt4G8Ab9BxcHQwdtB3sHWgb7BlUFigUSBYoHLwmKC7MNDA2mDgMOeQ75D1APfA+oD+4QQhCJELkQ1BDJEIUQCw9wDsUOAg0jDD8LgAsCCr0Klgp6CmEKSgozCh8KEQoGCfUJ1AmkCW8JOQkCCMwImghwCEkIGwfiB6kHdwdPByYG8AatBmIGEAW1BU0E4gSEBDYD6wOTAysCwgJoAiAB6AHAAagBmgGGAWQBNgEOAP0BCwEwAVcBcAF2AXUBeQGCAYsBkgGXAYsBVADoAGL/8/+4/6f/o/+b/43/dv9J/wX+uP54/kr+G/3R/WT84Pxg+/37v/uf+4z7f/t8+4f7mfun+6n7pPuY+4P7ZvtR+1P7cvud+777yfvH+8z74vwI/C/8Tfxi/HT8iPyc/K78w/ze/QD9Hv01/UX9T/1Y/WL9bv1//ZH9ov2y/cP90/3d/eH95P3p/e397f3v/fn+Cv4d/iv+Nf4+/kf+Uf5f/nH+hf6Z/q3+xf7e/vT/B/8c/zf/Vv91/5L/sP/P/+0ACAAiAD0AWABvAIUAnAC1AM8A6QEEAR8BOgFQAWYBfAGUAa4BygHnAgQCIAI7AlgCdwKVArECzALrAwsDKANEA2EDgQOjA8ED2wP2BBUEOARaBHgEkwSqBMEE1ATfBOIE4wTrBPkFBgUOBRMFGwUnBTIFOwVCBUkFTgVSBVYFXQVkBWkFbQV2BYQFkwWiBbEFwgXTBeUF+AYNBiQGOAZKBl4GdAaIBpkGqga+BtUG6Ab4BwkHHQcyB0YHWQduB4YHnwe2B9IH6Af9CBQILwhMCGoIhwikCLwIzAjXCOgJBwkxCVoJfQmeCcUJ7wocClgKqgr6CxgK4QprCfYJswmdCZIJggl5CYIJlAmcCZQJiwmICYcJfglyCW4JdgmBCYoJmgnECgMKPgpiCn4KtwsYC4ILyQvkC/QMHgxgDJsMvgzYDQMNQQ15DYwNaQ0RDJUMEQumC2ULRQspCwIK3QrQCuELAgsZCxYLAArkCsoKsQqPCmIKNgobChMKFAoRCggJ+gnpCdYJxwnHCdgJ7Qn0CeUJxAmWCWoJUQlVCWgJawlQCSoJGAkZCREI+AjwCSAJdQmlCXII3AgWB1EGqAY4BiAGWwapBroGawXiBV4FAgTKBKsEoASkBKcElwRwBDoD/APCA5wDkgOXA4gDTwL2AqICbgJYAkoCNgIYAfQBygGgAX8BbAFjAV8BXgFlAXQBhgGPAYwBgQFxAWEBUQFFAUkBcwHRAlICyAMMAyEDNANkA5wDrwOHA0EC/wLAAmsB/AGSAU0BLAEVAPkA3wDQAMYAuACkAJIAiACBAH4AgACIAI8AjgCLAIgAhQB8AHIAcgCCAJgAqACuALIAuQC9AL4AvgDAAMEAvQC2AK8AqACdAIwAfQB4AH0AgwCBAHoAeAB+AIIAfQBsAFoAUgBVAFoAXABcAGIAbwB7AHwAcwBnAF8AWQBRAEMAMwAnACAAGgAO//n/3//J/8D/v/++/7b/rf+j/5T/dP9H/xz/AP7v/tj+tf6L/mL+O/4R/eX9vP2Y/XL9Rv0U/OP8svyC/FP8JPv5+8/7o/t1+0H7B/rF+oP6SfoZ+ev5uvmG+Vb5Kfj4+L74gPhD+A734/fC96j3jvds9z73Dfbd9rH2hvZa9jH2DfXs9c71rvWN9Wr1Q/Ub9PD0vfSD9Er0H/QG8/Tz3vPI877zzPPt9A/0H/QO89jzhfMk8sXydfI18gXx3/G48YfxT/Ef8QTw+fDr8M/wrPCO8HnwZvBQ8DfwH/AL7/nv6O/Y78bvsO+X74Dvb+9l71/vWu9W71PvUe9T71vvaO9374Pvi++Q75nvtO/n8CrwaPCL8I3wdvBc8E/wVPBl8HjwhvCX8LLw1fDz8P/xBPEW8T7xbfGJ8YjxdfFm8WLxaPFz8X3xgPFz8VzxUfFj8Y/xv/Hm8gryMvJY8nTyj/K88wnzaPPG9B/0hPUA9Yz2D/Z59sT29vcU9yn3PPdU93j3rff5+FP4p/jo+Rv5S/l5+Zb5lvmD+XP5c/mA+Zb5ufnx+jn6gfrC+wH7QvuE+7v75fwM/Dj8aPyP/KT8qfyn/Kf8qfyt/LX8w/zZ/Pb9F/09/Wf9jf2p/cH95f4h/m3+tv7u/xv/Tv+M/8j/8AAEABUAOgB9ANMBIgFRAVgBQQEZAO4AxwCqAJ4ApQC+AOMBEwFNAY0B0QIcAnQC2gNGA68EDwRhBKQE2AUFBTYFbwW0BgAGTgaXBtIHAQcvB2MHnQfUCAkIQgiACLoI4gj8CRsJSAl+CawJzAnjCf4KHQo8ClwKgQqzCvULPQt/C7EL2gwJDE0Mpg0MDXcN2w41DoMO0A8jD3wPzhALEDgQYhCSEL0Q2RDkEO0RAhEkEU8RfBGnEcwR5BHrEe0R8xH7EfMR1xG6EbwR1BHFEVoQqxAWD+wQGxBKEDkP/A/RD9IP7BAIECcQTxB0EIUQjBCXEKIQohCqEOwRdBIEEkASERG7EZMRrxHoEhcSOhJdEn8SkxKYEpcSlBKIEngScRJ1EnUSYxJHEj0SUhJ+EqkSxhLcEvgTKBNsE7cT7xQHFA0UHhRGFHMUhhR1FFgUURRjFHUUbRRPFDgUQBRhFIAUjBSGFH0UeBR0FG0UZBRaFE4UPRQoFBUUBhP4E+kT1hPCE6wTlhOAE2sTWRNJEzkTKBMVEwgTCxMjE0ETThNDEzcTSRN8E7YT1hPUE8UTvxPGE8YTrxN8Ey0SrhHMEFwOewyqC4cLWwvfDIcM8g0kDUgNbA15DWANNQ0KDNoMlAw8C+QLkws9CtsKfQoxCfEJqQlWCQYIxAiHCEYIBQfQB6QHcwcyBusGqQZvBjoGDQXqBdAFsAWCBUoFFQTrBMcEoQR1BEYEHgP/A+QDygOxA6ADmQOTA4QDZwNGAygDDALuAtACtgKgAoMCWgIrAgEB4AHBAZ0BdQFPAS8BEwD7AOIAywC3AKkAngCSAIEAbQBWAEAAKAAR////8v/m/9H/r/+I/2r/Xf9d/1r/SP8r/wv+7f7L/qL+hf6J/qf+uP6c/mD+NP42/lD+Vf43/g398/3m/dL9sP2L/W79Vf05/Rv9BPzz/OD8xvyp/I/8efxj/E38N/wi/Az79vvi+9H7v/uq+5f7jPuH+4L7ePtr+177UvtH+zv7L/sm+yH7H/sc+xX7DPsG+wf7DPsQ+xL7EfsN+wf7AvsA+wL7A/sD+wH7APsC+wX7Dfsc+y77QPtP+1/7dfuK+5f7nPuh+6v7uPvC+8T7xfvJ+8/71PvY+9z74/vs+/b8AfwN/Bn8Jvw0/ET8Uvxf/Gr8d/yG/JT8o/y1/Mf81/zk/PL9Af0Q/Rv9Iv0o/TL9P/1M/Vb9X/1r/Xn9if2Y/ab9s/2//cn9zf3K/cf9yv3S/dr93f3f/eP96v3v/fL99P36/gL+C/4S/hj+H/4k/ib+Jf4k/iP+I/4l/ir+L/40/jn+Pf5E/k7+Wv5n/nL+fP6D/or+kf6Y/p7+o/6t/rr+xv7L/sn+yP7Q/t3+6P7t/vP/AP8Q/xr/G/8e/y//Tf9k/2j/YP9f/27/g/+N/4z/iP+L/5D/lv+g/6//v//G/8X/xv/Q/9//7P/3AAEACAAGAAEABgAZADAAPAA9AD4ARgBUAGAAbQB+AJEAogCtALIAswCzALkAxQDUANsA2ADWAN4A7wD9AQcBGAE4AVsBawFmAV8BbQGPAbIByQHVAeQB+wIWAiwCOAI+AkcCYAKOAsEC4wLlAtYC0wLuAxoDOwNDAzwDNwNAA1YDdQOgA9EEAwQvBFcEfQSgBL4E2AT4BSMFWwWdBd8GFwY/BlkGcAaMBqgGvgbTBvYHKQdeB3wHZQb9Bj8FaQUGBacHYgmlC5sM0A1yDfcOmA8wD4gPpw/HEA8QchDHEOwQ1RCFEAsPgA71DmgNxw0MDEULkQsKCrkKlAqFCnIKUgouChgKEQoJCfAJxAmSCWEJLQj0CL4IlAh0CFEIIgfnB6sHdAdFBxgG6Qa0BnQGKAXNBWYE/wSjBFMEBAOqA0MC2wJ+AjEB9AHIAa0BnQGLAW8BSwEuAScBPQFqAZoBuAG9AbIBoQGRAYQBhQGXAaEBeQEIAHH/9//E/8z/2//N/5//W/8N/rv+cv45/gn9y/1v/Pb8dfwH+8D7oPuX+5b7mPug+7D7wPvI+8X7uvun+437cPtf+2j7hvuo+7v7uvux+7D7wvvl/A78MfxO/Gf8fvyU/Kf8vvze/QT9KP1D/Vf9Z/12/YL9j/2f/bP9xv3a/ez9+/4F/gn+DP4P/hH+Ev4V/h3+K/45/kX+T/5a/mb+cv6A/pP+qf7B/tn+8/8O/yb/O/9Q/2j/hf+k/8T/5gAGACMAOgBQAGkAhACdALEAxQDbAPIBCwEmAUEBWwFxAYYBmwGzAc4B6wILAikCRAJfAnwCmwK4AtIC6gMGAyYDQwNdA3cDlgO4A9gD8gQLBCcESQRrBIoEpQS+BNYE6QTxBPEE8gT8BQoFFAUYBRwFJgU0BT8FRwVOBVUFWgVdBWIFawV0BXsFgQWLBZsFqwW4BcUF1QXoBfwGDwYiBjUGRgZXBmwGgwaXBqcGtgbLBuIG9gcEBxEHIwc3B0gHVwdpB4IHnwe6B9UH6wgECB4IOAhQCGgIhAiiCL0I0gjjCPwJIwlRCXsJoAnGCfQKIQpJCnoKwQsNCyoK7ApkCdgJiQl9CY0JlQmUCZoJqAmuCaUJlgmOCY4JjgmJCYYJiQmSCZwJrwnWCg4KQwpoCooKyAspC48L0gvpC/gMIwxpDKsM0QzoDQoNPw11DYwNcQ0gDKgMJgu7C3gLVQs2Cw8K7ArkCvwLIQs2CzELHAsFCvEK1wqvCn0KUQo8Cj8KSApECjAKFAn7CesJ6AnzCgcKGQogChgKCAnyCdkJxwnGCc4JzAm3CZwJlAmhCa4JswnFCfgKMwo4Cd4JNwh2B8YHNQbSBrIG1gcQBxoG0QZLBb0FTQUGBOIE2ATbBNUEuwSPBFgEHgPmA8EDvgPRA9QDpQNHAt4CjwJmAlQCRwIxAg4B4QG0AZMBggF9AX4BgwGOAaABswG/Ab8BsgGeAYwBhAGJAZcBtAHqAj0CmwLpAyADTAN6A5wDlwNnAyQC6AKxAm0CGAHIAY8BawFMAS0BFQEGAPkA5QDNALsAsACoAKIAoQClAKsArACqAKUAnwCXAJIAmwCwAMUA0ADSANQA2wDjAOYA5QDkAOQA4gDgANwA1QDJALwAtACzALYAswCoAJ0AmgCeAKAAlwCHAHsAfQCIAI0AhwCAAIgAoAC3AL0AtACpAKIAmQCHAG8AXwBaAFoAUwBCACwAGQAPABAAFwAeAB0AEv/8/9n/qv96/1f/Q/80/xr+9f7N/qf+gv5Z/i/+B/3i/br9i/1a/Sz9APzR/KH8dPxL/CH78fu7+4P7R/sH+sf6j/pf+jP6BfnU+aX5dPk/+QH4wviJ+Fr4Nvga+AH34fe494b3Uvci9vT2x/ac9nj2WvY99hz1+fXU9bD1ivVh9TL0+/TB9I/0a/RT9Dr0HvQH9Ab0HfQ/9Ff0VvQ28/rzqvNQ8vnyq/Jq8jryFvHy8cTxi/FW8TTxIfEQ8PXw1fC48KLwj/B48F/wSPA08CLwEu//7+vv1e+976XvkO+B73rveO9373Tvce9z73/vke+h76zvr++y77/v5PAm8HXwtfDO8L3wlfBu8FvwXfBt8IDwjvCb8LDw0fD18Q7xGPEf8TDxTfFq8X7xh/GI8YXxg/GG8YvxivF48VzxSPFL8WDxe/GX8b/x8/Io8k7ybPKZ8uLzPvOZ8+70T/TJ9VX12/ZG9pD2wvbn9wf3I/c791j3ivfY+DX4iPjB+Ov5GflO+Xr5i/mH+YD5gPmH+ZP5r/nk+i76fPrC+wH7PPtw+5T7qvvA++D8B/wn/Db8N/wz/DD8M/xB/F38hfyw/NX89P0T/TX9Uv1h/Wj9fv2z/gf+Z/7D/xn/bf+7//UAFQAiADUAYgCwAQ0BWwGCAXwBVgEeANwAmwBoAFEAWQB1AJwAygEEAU0BowIBAmcC0AMxA4MDxQP9BDEEZwSfBNwFGgVZBZcF2QYcBloGkAbGBwMHRQeEB7gH6AgaCEsIcgiQCLMI5QkeCU4Jagl9CZQJtwnjChMKRgp+CroK9wstC10LiwvCDAkMYQzFDSsNig3eDiwOfQ7XDzAPdw+iD7wP2A/+ECQQPhBMEFwQexCrEOQRHxFbEY8RsBG4EbMRthHGEcsRtBGSEY0RqBGoEUUQhQ/ND4EPpA/eD+QPvg+iD6kPwA/QD+AP/hAiEDcQPhBFEFAQVRBeEI0Q6xFREYIRdBFWEVwRiBG5EdoR+RIfEkMSVRJaEl4SZBJhElISRhJGEkkSPhIoEhkSIxJCEmYShhKjEswTChNXE54TyBPTE9QT5hQPFDoUTxRHFDQULhQ4FEgUShQ7FCoUKRQ9FFkUaRRpFGEUXBRZFFMUSBQ7FC0UHRQIE/IT4hPZE88TwROtE5cTgRNpE1ATOBMmExoTDRL7Eu4S9BMSEzUTQhM3Ey0TQxN5E68TxRO5E6UTnhOkE6MThhNGEtwSNBEnD6IN1gxEC3YLkwxADOYNMQ06DUQNYw12DWANLAz3DMgMjQw+C+ULjgs3CtsKgAoxCe0JpwlaCQwIwgh+CD0IAwfUB6gHcwc0BvEGswZ6BkMGEQXrBcwFqQV8BUcFFwTtBMcEngRxBEQEGwP5A9oDuwOfA4wDggN7A20DVAM3AxwDAgLkAsICpAKLAnACTgIjAfcBzwGsAYkBZQFEASUBCQDsAM8AtAChAJUAjACAAG4AWQBEADAAGgAD//D/4//Z/8r/r/+L/2z/YP9m/23/Y/9C/xv+/f7i/sH+nP6J/o3+kP52/kj+NP5V/o/+pf5//jz+CP3y/eL9xv2k/Yb9b/1U/Tb9Gv0H/Pb84fzG/Kn8jfxy/Fj8Qfwr/BT7/fvo+9f7xfuy+577kPuH+377cvtk+1b7S/tE+zz7Mvsl+xf7DPsE+v76+fr3+vv7AvsH+wf7BPsB+v/6/vr++v/7APsA+wD7APsA+wL7CPsT+x/7J/st+zn7Tvtm+3f7gvuM+5v7q/u1+7f7uvvB+8j7zfvQ+9b74Pvt+/n8BPwN/Bb8Ifwu/Dv8SfxX/GT8cfx9/If8kvyh/LP8xfzT/OH88f0C/Q79FP0Y/SD9Lf05/UL9Sv1U/WX9d/2H/ZT9of2w/bz9v/26/bX9uf3D/cz90f3T/dj93v3i/eP95f3t/ff+AP4F/gv+Ev4Y/hr+Gv4c/h/+Iv4l/ij+LP4v/jH+NP45/kL+TP5Z/mb+cv56/oD+hv6O/pb+n/6o/rP+vv7G/sn+zv7Y/uP+6v7v/vj/C/8g/yj/JP8i/zL/T/9k/2H/UP9I/1L/Y/9s/2z/bv93/4H/h/+N/5v/rv+8/8L/xf/P/+D/8gABAAwADwALAAUABwAWACoAOQBAAEQASQBQAFcAYQBuAHwAiACSAJsAnwCfAKEArQC/AM4A0ADOANMA4gDyAQABGAFCAXIBjwGQAYUBhwGdAboB0QHjAfkCFAIwAkcCXQJ0AosCngKoAqsCqQKlAqkCvgLjAw4DLwNGA1YDYwNrA24DewOeA9UEDwQ5BFYEdgSiBNIE+gUaBT0FbQWmBdwGBQYfBjQGTgZuBo8GrgbNBu8HFAc9B14HVwb4BjUFWwUNBdYHrQnnC7cMyQ1gDe8OoA9JD7YP6BALEEYQlxDcEOwQsRA3D6YPHw6nDiUNhgzRDCILjQsaCsoKmgp9Cl4KNQoRCgUKCgoGCeYJtAmBCVUJJgjwCL4Ilwh4CFIIIAfoB68HdAc4Bv8G0QaoBngGNwXhBX8FGgS7BGUEEgO7A10C/AKfAkwCCQHcAcABrwGcAYUBbQFeAWIBfAGnAdMB7QHsAdYBuAGZAYIBgAGSAZsBbQD0AFj/5P/E/+D/+f/h/5X/L/7K/nX+Mv3+/cb9d/0L/I/8HvvP+6j7o/ut+7f7v/vI+9X74vvn++P71vvA+6P7h/t5+4P7nPuy+7r7svum+6T7s/vU+/38I/xE/GD8fPyW/K78yvzt/Rb9PP1a/XH9hv2Y/af9tP3E/dn97f4A/hD+Hv4p/jD+M/4z/jT+N/49/kj+Vf5f/mb+b/58/oz+mv6p/rz+1f7v/wj/If86/1H/Zv95/5D/q//J/+oADAAsAEcAXQBzAIsApgC/ANUA6AD+ARUBLgFIAWMBfAGTAagBvwHWAfACDAIsAkoCZgKAApsCugLXAvADCAMjA0MDYQN7A5MDrwPPA+4ECQQgBDwEXQSABJ4EtgTOBOYE+QUBBQAFAgUMBRoFIwUoBS0FOAVEBU0FUQVVBVwFYgVmBWsFdQWABYoFkwWgBbEFwgXOBdoF6gX9Bg8GHwYvBkAGUQZiBncGjQahBrEGwQbYBvIHBwcTBx8HMAdFB1YHYgdwB4YHoQe9B9oH8wgPCCoIQghWCGsIhQijCMII3Qj6CR4JSgl1CZkJuwnnCiAKWQqBCqMK1AsRCy8K/Ap3CeEJgglxCYsJowmpCasJswm3Ca4JnAmSCZUJnAmeCZoJmgmfCasJwQnmChgKSgpyCp4K4wtEC6YL4gv1C/0MIAxgDKEMyAzcDPUNIw1YDXgNaQ0iDLEMNgvUC5gLdgtVCzALFAsVCzALTgtYC0sLNgslCxkLAQrVCpsKawpZCmMKcQpsCk4KJwoKCgIKDAofCjQKQApDCkIKQgpACjcKKAocChsKHQoXCgoKAwoLCh8KPwpvCqoKzAqpCjIJiAjbCEkH0Ad0B0YHTQdtB20HKgaqBhcFmQVIBSIFGQUWBQME3wSxBH4ERgQPA+wD7wQNBBcD5gN8AwACoAJsAlcCTQI8Ah0B9AHKAasBngGfAagBtQHEAdQB5AHwAfQB6wHWAcEBuwHLAeMB+AIOAjYCeALNAx8DYQOKA5IDdAM8AwAC0QKtAoICSwIQAdwBsAGJAWcBTwE+ASoBEQD4AOcA3QDUAMoAwwDCAMMAxADCAL8AvAC5AL0AyQDbAOoA8QD1APwBBgEOAREBEAENAQsBCgEKAQYA/QDxAOgA5gDoAOUA2wDNAMEAvQC+ALwAtQCpAKUArQC7AMAAuACyAMAA4AD8AQIA+ADvAOoA3QDBAKUAmQCdAKAAlAB/AHMAdgB/AIMAfQBwAFwAQQAc/+//wf+d/4n/gP9y/1f/Mf8L/un+xf6d/nT+T/4q/gD9z/2g/XX9S/0c/Oz8wPyY/G/8PPwB+8X7ivtQ+xb63/qu+oD6Uvoi+fD5vPmE+Uf5Dfjb+LL4kvh2+Fj4MvgC9833mfdn9zf3Cfbg9sD2pfaI9mP2O/YU9fD1y/Wg9W71NvUB9Nf0ufSe9H70XfRL9FL0bPSI9JL0hPRa9Brzy/N28yfy4PKl8nbyUfIs8f3xwvGJ8V/xRvE08Rzw//Dk8M3wufCj8IvwcvBb8EjwNfAi8A7v++/n78/vte+g75fvme+e75zvlu+V76Dvsu/D78zv0O/U7+TwCfBH8I3wwfDO8LbwjvBv8GPwZvB08IbwmPCn8Lnw0vDz8RLxJfEt8TDxOPFI8WHxevGL8ZDxjPGK8YzxivF98WbxUfFH8UfxTPFa8Xzxs/Ht8hryPfJs8rLzCvNh87X0FPSJ9RH1k/X99kj2gPax9t33Avcc9zr3bve/+Br4ZfiV+Lv47fkr+WH5ffmD+YP5gvl9+Xf5gfmq+fH6RvqY+uH7IftU+3T7hfuR+6H7t/vJ+9X72/vc+9v72vvo/A38SPyE/LH8zvzn/QT9H/0s/Sv9MP1R/ZX98/5i/tb/Rf+h/93//wAXADsAewDWATgBggGgAZMBaQEwAO4AqwB4AGYAdQCVALgA3gETAV0BtwIYAnkC1AMeA1MDeAOaA8MD+gQ7BIMEyQUEBTgFbAWnBeUGIQZdBqEG7Qc2B3AHmwfAB+UICQgrCFEIgwi5COcJBQkaCTUJXwmXCdYKEwpJCnkKpQrVCwwLTAuRC90MLgyEDNsNLw2ADdQOMA6ODt8PFA8tDzkPSw9pD4sPpg+6D9MP+xA0EHcQvxEHEUgRdBGCEX4RgRGVEaQRlRF1EWoRghGCER8QVw+NDy4PSA+FD5QPeA9lD3UPkA+bD58PtA/ZD/YP/Q/6D/oP/hALEC8QbBCvENgQ6RD9ESkRXhGEEZ0RuhHhEgMSExIcEioSPBI/Ei8SGxITEhASBhHzEegR8hISEjYSVBJuEpgS3RM0E38TpROpE6cTuhPgFAQUFhQYFBUUFBQYFB0UIBQcFBIUEBQfFDkUTBRLFEAUNxQ1FDAUJBQUFAgT/RPtE9gTyBO+E7YTpxOQE3kTZhNREzUTGBMDEvoS9BLoEtoS3hL8EyQTOBMxEyoTQRN4E6wTvBOlE4gTfhOFE4ETWRMGEoERtxCIDuwNJQu4CykLiwxsDScNZw1RDT0NUA1lDVINGQzfDLUMiQxDC+ULgwspCtUKgwozCeoJowlZCQsIuQhqCCcH9QfOB6YHcwc3BvkGwAaIBlAGGwXvBckFowV4BUwFIQT5BM4EoQRzBEUEGgPyA9ADsgOYA4MDdANnA1UDPwMnAxEC+QLbArYCkgJ2Al0CPgIWAesBwQGcAXgBVQE2ARoA/gDfAMAApACRAIYAfABuAFoARQAyAB8AC//1/+H/0f/E/7f/pP+J/23/Xf9e/2f/Yf9F/yH/Cf77/ub+w/6g/o/+g/5m/j7+Nf5m/rT+3/7A/nT+M/4V/gb97P3H/ab9jv14/Vv9PP0j/RH8//zn/Mn8qPyJ/Gz8U/w6/CH8Cfv0++H7z/u8+6j7l/uL+4H7dvto+1j7SvtB+zv7M/sl+xT7A/r2+u365frh+uP66vry+vb69vr2+vf6+Pr3+vb69vr3+vv6/fr/+wH7CPsR+xn7HPsd+yX7NvtK+1v7Z/t0+4b7lvuh+6b7q/uz+7v7wPvD+8v72Pvm+/T7//wI/BH8Gfwj/C/8PvxO/F38avx0/Hr8gvyO/J/8sPy+/Mv82fzp/Pb8/v0D/Qz9GP0j/Sz9M/0+/VD9ZP1z/X39if2Z/ab9qv2l/aL9qf23/cP9xv3H/cr90P3U/dX92f3h/ez99P36/gH+CP4N/g/+D/4T/hj+HP4d/h/+JP4p/i3+L/4y/jj+QP5K/lf+Zf5z/nz+g/6M/pX+n/6o/rH+uf7C/sz+2f7n/vH+8/70/v//Fv8s/zP/K/8k/y//Rv9X/1P/Q/86/0H/T/9V/1b/W/9q/3n/gf+F/47/nv+v/7j/vf/E/9D/3v/q//T/+v/9//4AAgANAB4ALwA8AEYATQBVAF4AaABvAHIAdAB7AIcAkgCVAJUAnACrALwAxgDMANgA6gD5AQQBFAE1AV8BfwGIAYMBggGMAZ4BrgHAAdYB7gIBAg8CIwJDAmgCgQKFAn0CeAKDAp4CwALkAwgDMANgA5IDswO1A6ADkgOoA+AEHQREBFcEcQSiBOEFFwU7BVoFgAWtBdUF8gYLBioGUgZ8BqYG0Ab1Bw4HGQckBzkHOAbhBhwFQgUIBfUH5QoZC80Myg1iDfsOsw9kD+IQKhBWEIIQuRDqEO4QqRAlD5MPGg6sDhwNXAyPC+kLdwsjCtcKlAphCjkKFAn6CfUJ/An2CdQJoQlxCUkJIAjyCMcIogh8CEwIGAfnB7UHdwctBuYGsgaRBm8GOwXwBZYFNATSBHYEIQPPA3oDHgLAAmoCKAH/AegB1gHDAbABoQGeAagBwQHlAgcCFwIMAesBwwGeAYUBgQGMAYYBSADJADj/2v/Q//UACP/d/3z/Cv6g/kr+A/3B/XX9GPys/EH77Pu7+6/7vPvP+9z74Pvk++37+PwA/AD79fvh+8b7rfuh+6X7s/vA+8P7vvu3+7b7wvvf/Ab8K/xJ/GT8gfyf/L383Pz//Sf9T/1y/Y79pv27/cv92f3p/fz+Dv4d/iv+O/5M/lj+Xf5c/lr+Xf5n/nX+gv6K/o/+mP6n/rj+yf7Z/u3/Bf8d/zL/Rv9a/2//hf+b/7P/zv/sAAoAKQBHAGIAegCSAKoAwwDaAPEBBwEfATkBUwFsAYYBngG2Ac0B5AH8AhQCLQJKAmgChAKeArkC1gLzAw0DJQNAA18DfgOZA7EDygPnBAQEHgQ3BFUEeASbBLcEzQTiBPcFCQUQBQ4FDgUXBSYFMgU4BT8FSAVSBVcFWQVdBWQFawVwBXUFfgWKBZcFowWyBcIF0QXfBe0F/wYQBiAGLgY+BlAGYgZzBoUGmgatBr4G0AbnBwAHEwcfBysHPgdVB2gHdAd/B5IHqgfCB+cIAwggCDwIUghmCHsIkwiuCMoI6gkPCTwJbAmVCbQJ0Qn8CjkKdgqcCqoKuQrYCu0KywpkCeUJjgl/CZwJuQnBCb8Jvwm/CbUJowmZCZ0JqAmuCa0JqwmwCbsJ0Qn0CiMKVQqCCrQK+wtbC7wL+wwODBAMIwxRDIcMrQzDDN0NDA1JDXMNaw0jDK4MNgvfC7ILmguBC2ULVwtiC3sLiwuFC20LVQtHCzoLIQryCrcKhwp4CoYKlwqPCmoKPQokCikKRAphCnUKfAp7CnwKgwqLCogKeQppCmYKcgp8CnoKbAplCnIKnQrcCxcLKArxCnYJ2wlHCMoIXAf/B8QHtgfDB7sHewb+BmcF4QWKBWUFXAVRBTQFCQTcBK8EeQRCBCIELQRPBFIEDwOPAwUCoAJtAlkCTgI+AiYCBQHjAckBwQHHAdgB7QIAAg8CGgIkAi0CKwIaAgMB+gIIAiACLQIsAjcCZwK8AxsDZAOGA4EDXQMqAvsC2wLFAqwChgJSAhsB6QHBAaQBjAF1AVoBPwEoARgBDAD/APIA6ADkAOMA4ADdANsA2wDhAOsA9wECAQkBEAEbASoBNwFAAUUBRgFEAUEBPwE9ATgBLAEdARMBDwEOAQcA+wDvAOgA5ADiAOAA2wDWANQA2wDoAPEA9AD5AQ0BLQFFAUgBPwE4ATQBJQEIAO4A5gDsAOoA2ADKANMA8AEEAPoA0gCgAHEASgAlAAP/5P/P/8P/uf+o/4v/af9H/yf/BP7e/rj+lv5z/kj+GP3o/b79lP1l/TP9B/zh/Lf8g/xH/Av71Pug+2v7NvsC+tD6nvpt+jn6A/nL+ZP5YPk1+RH48fjR+Kv4ffhH+A/32/er93z3Ufcs9w327vbL9qL2d/ZQ9iz2BvXb9aj1c/VE9SD1BfTm9ML0ovSU9Jz0sPS/9L/0rvSH9Efz8/Ob80/zEfLf8rTyjfJk8jLx9vG78Y7xdPFh8UvxLvER8Pvw6fDX8L7wo/CI8HHwXfBJ8DbwJPAR7/nv3e/D77nvv+/J78vvw+++78Tv0u/g7+nv8O/48AjwJPBO8Hrwl/Cc8I3wfPB08HXwePB+8IrwnvC18Mrw3vD18Q7xJfEz8TfxNvE58UbxWfFs8XbxevF+8YbxivGD8XHxXfFN8T/xM/Ey8UfxcfGk8dLx/fIy8nzy0vMo83vz1/RG9MT1P/Wl9fP2NfZ09q723Pb99yP3Xvew+AL4QPhr+Jf41PkY+Uz5ZPlq+Wv5aflc+Uj5QPlY+ZP54/o3+ob6zfsJ+zb7Vfto+3X7fPuC+4z7nPuq+637qPus+8z8CPxK/Hv8l/yt/Mf84fzv/PD87vz9/Sr9d/3i/lv+zf8k/1z/gf+o/+MANwCeAQYBVQF7AXkBXQE1AQcA2gC7ALkA0wD2ARMBLwFZAZYB3wIrAnMCswLoAw0DKQNGA2wDngPdBCUEbwSvBOIFEgVJBYcFxAYABkMGkAbfBx4HRgdiB4AHpAfPB/0IMAhiCI4IrwjKCOkJFwlVCZwJ3QoQCjUKWAqJCssLGQtoC7QL/gxGDI0M1A0iDX0N4Q4+DoIOpg60Dr4Ozw7pDwcPIw89D1wPiA/EEA4QXRCsEPMRJxFBEUkRVRFvEYQRexFaEUgRUBFDENkQEQ9LDvAPDQ9ND10PPw8qDzwPWA9eD1YPYg+JD7APuw+wD6YPsQ/UEAYQOhBiEHoQkRC4EO0RHRE+EVkRfRGnEcUR0xHeEfMSCRIOEgAR7BHgEdURwxGsEaQRuBHjEhISLxI9ElQSkBLsE0MTchN6E3oTixOrE8gT1xPgE+oT8RPxE+8T8BPwE+wT6xP6FBUUKRQnFBkUEBQSFBIUCBP4E+wT5BPWE8ETrhOjE5gThBNoE1ATQRMyExoS+xLkEt4S3RLTEsQSwhLeEwoTJRMjExoTMBNqE6QTtBOXE3ITZRNrE2ETKxLFEi8RVhATDmEMjgsuCsQLWgxtDUgNjg1nDTkNOQ1LDToNAgzIDKIMgAxDC+MLeQsdCtAKhwo5CeoJnwlWCQcIsghfCBoH6gfGB6EHcQc5Bv8GyQaTBlsGJQXzBcUFmwVzBVAFLAUDBNYEpgR4BEsEHQPwA8oDrQOWA4ADaQNTAz0DKQMXAwUC7wLPAqkChAJmAkoCKwIFAdwBtgGRAWwBSAEnAQsA8QDVALUAlwCBAHMAaABYAEUAMgAfAA3/+//p/9j/xv+0/6T/mP+J/3T/YP9W/1X/Tv82/xj/B/8F/v/+5/7G/q/+nf58/k3+Of5i/rX+8f7l/qH+Xv49/jL+Hv35/dL9t/2g/YP9YP1C/S79Hv0I/Ov8yvyp/Iv8bfxP/DL8GPwC++772/vG+7L7oPuS+4j7f/tz+2L7UPtA+zX7Lfsi+xP7A/r1+un63vrV+tL61vre+uP65/rp+ur66/rp+uf66fru+vT6+Pr7+v77BPsN+xb7HPsh+yr7NvtD+037Vvtj+3P7g/uO+5X7nPuk+6r7r/u1+7/7zPvY++P77fv4/AL8CvwT/B/8MPxD/FT8Y/xs/HH8dfx+/I38nfyr/Lb8wfzP/Nz85vzv/Pn9BP0P/Rf9Hv0p/Tv9TP1Z/WH9a/15/Yj9jv2M/Yz9lv2n/bX9uf24/bn9v/3F/cj9zf3V/d795v3t/fb9//4G/gn+DP4P/hH+EP4M/g3+FP4d/iT+Kf4u/jX+O/5B/kv+Wv5t/nz+h/6P/pf+oP6p/q/+tP67/sf+2f7q/vP+8v7w/vr/EP8l/yv/I/8c/yL/Nf9D/0T/O/84/0D/S/9Q/1H/WP9n/3f/gP+C/4f/k/+i/6z/sP+0/7r/wf/J/9P/3//r//X//AAGABYAKQA7AEgAUgBcAGkAdAB4AHQAcAB1AIUAlQCdAJ8AogCsALkAxgDUAOcA+wELAREBFwElATsBUgFgAWYBbAFzAXoBgQGOAaMBtwHCAcYB0QHuAhcCPQJSAl4CcAKPArYC1wLvAwgDMwN2A8AD8QPyA88DsAO5A+wEKQRQBGEEeASpBOoFIwVIBWQFhQWrBc4F6wYNBj0GcwalBtEG/QcmBzkHMQckByYHGQa2BeIFCQTrBgIICgozC88MxQ1xDiQO4g+GD/0QTBCDEK4Q2REAEQQQwRBCD7wPVw71DlUNaQxvC7gLUwsRCsYKcwo1ChEJ+wnqCeIJ4AnWCbkJjwllCT8JGgjzCM0IpQh2CD0ICQffB7QHdgclBtcGogaDBmYGOgX6BasFUQTxBJIEPAPqA5UDNwLZAocCTQIrAhYCAgHtAdwB1gHbAeoCAgIhAjsCQwIvAgcB2AGvAZQBiQGFAWsBHgCiACf/6P/yABcAFv/V/2j+9v6U/jz94v2E/ST8xfxt/B/75fvF+8P71fvr+/b79vv1+/z8CvwW/Bn8EfwB++z72vvN+8j7yfvO+9T72vvc+9/76fwB/CL8QfxZ/G/8i/ys/Mv86P0H/S39WP1//Z79t/3N/eH98/4G/hn+K/47/kv+X/50/oP+if6I/ob+iv6U/qH+rf62/r7+yP7X/un++/8O/yL/N/9J/1j/Z/94/47/p//B/9z/+QAVADAASwBnAIIAngC4ANEA5wD8ARIBKgFEAV4BdwGPAagBwQHZAfECCgIiAjkCUAJpAoUCoQK9AtcC8gMOAykDQgNcA3cDlAOuA8YD3wP6BBUEMARLBGoEjwS1BNME6QT8BQ8FHgUkBR8FGwUgBS4FOwVDBUgFTwVXBV0FYgVoBXEFeQV/BYUFjgWaBacFswXBBc4F2wXpBfoGCwYcBisGOgZOBmIGcwaBBpIGpga8Bs4G4Ab1BwoHGgclBzMHSAdgB3QHgQeOB6AHtgfOB/cIFQgzCE0IYwh4CI8IpQi6CNAI7wkZCU0JhQm2CdoJ9AoSCjwKaAqACnoKaApgCmAKSgoPCcQJlAmWCbcJ1AnbCdYJ0QnLCb4JrgmmCasJtgm9Cb4JwAnFCc8J4QoCCjIKZgqVCsQLBwtlC8oMEwwvDC0MLwxIDHAMlgy1DNoNEg1WDYUNeQ0jDKAMJgvcC8QLwAu5C68Lrwu9C8kLwwuqC40LdwtnC1ULNgsJCtQKrAqgCq4KvQqyCooKXwpRCmgKkgq3CskKzArJCsoK0ArWCtMKxQq5CrsKzgrhCuEKzwq7Cr0K3wsVC0ILRwsUCrAKNQm4CUAIzAhoCCgIFAgZCAoHxgdIBq4GIwXKBaQFmgWKBWYFOgUSBOoEuASDBGgEeASVBIcEKQOUAwQCpQJ4AmUCVQJDAi8CGgIDAfEB7QH5Ag8CKQI+AkwCVQJeAmkCbAJfAkYCNgI4AkICQQI2AjwCawLCAyADYwN/A3wDZgNHAyYDDQL8AuoCyQKUAlYCIAH8AeUBzwGyAZIBdgFhAVABPgEtASEBGgEXAREBCQEBAP0A/gEHARUBIQEnASwBOAFLAV8BbQF1AXwBgwGFAYMBfgF6AXQBZgFTAUIBOAEuASMBGQESAQ8BDAEJAQsBEAESARABEAEbAS4BQQFUAWoBgQGRAZIBjQGLAYkBfQFnAVUBUQFPAUABKQEkAT4BYwFqAUIA+QCxAH4AYgBRAEMAMwAgAAn/8f/X/7r/nf+A/2H/QP8d/vv+3f68/pP+ZP42/gv94P2w/X79UP0n/Pz8yPyN/FT8Ivvx+777iPtR+xz66Pq0+oD6S/oW+eT5t/mQ+W35Svkk+Pb4vviC+En4GPfu98f3o/d/91v3NPcI9tv2svaN9mj2QfYW9ef1t/WM9Wr1TPUt9Qr07PTe9N704vTl9OX04PTG9Ij0KvPF83PzO/MT8u/yyPKb8mXyJvHr8cHxqPGV8XvxWfE58SPxFvEH8PDw0fC08J3wivB38GHwTPA68CbwDu/27+rv7e/47/3v+e/07/Xv/fAG8A3wF/Aj8DLwQvBT8GHwavBs8G/wefCJ8JTwlPCP8JLwpPDA8Nvw7/D+8Q7xIPEw8TrxPPE68TnxPvFG8U/xWvFq8XrxhPGB8XTxZPFU8UHxLvEi8SbxPfFf8YbxtPHv8jryjvLj8zfzkvP89HL05vVL9aH17/Y79oH2t/bj9xX3XPeu9/P4I/hM+IX40PkW+T75SflI+Un5Sfk9+Sf5GPki+Ur5hvnM+hP6WPqa+tX7CPst+0H7R/tK+1b7bfuE+4z7g/t9+5H7w/wB/DP8Uvxn/H38k/yh/KX8pPyt/Mn9Av1Y/b7+Hf5g/oj+q/7c/yT/fv/lAFAArQDrAQYBBgD8AO0A3wDdAO4BDgEwAUUBUwFpAY0BuwHrAhsCTAJ7AqUCzgL4AyMDUAODA8QEEQRcBJsE0AUGBUEFfAW0BfAGOAaDBsIG6gcDByAHSweCB7sH8QgjCE0IcAiOCLAI3gkcCWEJoQnTCfkKIApXCqAK8As+C4gLzQwPDEsMhQzMDSYNiw3hDhYOMA4+DlEOag6EDp0Otg7SDvMPHw9bD6YP+BBJEJMQzxD3ERERKxFLEWARVxE2ER0RFRDzEHsPsg72DqgO0A8XDysPDA7yDv4PFg8WDwQPBw8vD2APdA9oD18Peg+/EBIQThBiEFwQXhB5EKYQzxDvERMRQRFsEYcRkxGgEbcRyhHNEcMRtxGtEZ0RgBFiEVgRcRGpEeYSCxIQEhMSPBKSEvMTMBM+Ez4TThNuE4sTmxOnE7YTwhPEE8ITxRPJE8kTxxPSE+kT+hP5E+0T6RPzE/sT8xPiE9QTyRO6E6QTkBOEE3gTYhNFEy0THxMTEv4S4RLMEsQSwxK4EqYSoRK6EuYTBRMFEvoTEBNQE5MTqBOJE18TURNWE0QS/xKKEfARFA/GDgEMHwrECnELJgxUDUQNlQ1tDTENIA0pDR0M7Qy0DIsMagwyC9oLdQsbCtIKjAo/CewJnAlRCQQIsghhCBwH6Ae/B5cHaQc1BwEGzQaaBmUGLQX0Bb0FjQVpBU0FLgUHBNgEqQR+BFIEIgPzA8sDrgOWA3sDXQM+AyQDEQMEAvUC3wLAApsCeAJZAjoCGAHzAc8BrAGIAWIBOgEXAPsA5QDMAKwAiQBtAFkATAA+AC4AHgAO//z/6v/b/8//v/+s/5r/kv+N/4P/b/9b/07/Qf8p/wz++v75/vn+6v7T/sP+tv6W/l/+Of5O/pz+4/7r/rb+dv5Y/lT+S/4t/gX94v3E/aL9ff1d/Uv9Pv0s/RL88fzR/LD8jvxp/Ef8KvwU/AH77PvW+8H7r/uf+5L7h/t6+2r7VftB+zL7KPsd+xD7Avr2+uv63/rU+s36zPrQ+tT61vrX+tn62frZ+tr63/rl+uz68frz+vb6+/sD+w37GPsl+zL7PPtC+0f7TvtZ+2f7c/t9+4T7jPuS+5j7nvun+7P7v/vH+8/72Pvk+/D7+vwE/BH8Ivw1/Ej8WPxj/Gn8bfxz/H/8j/yd/Kj8sfy8/Mj81Pze/On89Pz+/QX9C/0V/SP9Mf07/UH9Sf1W/WX9bv1w/XP9fv2Q/Z/9pf2l/af9rf20/bn9vv3F/c391f3d/ej99P3+/gb+C/4O/gz+BP3+/f/+B/4R/hf+Hf4n/jT+Pf5B/kX+Uf5l/nv+iP6O/pP+mv6k/qv+rf6w/rn+yf7a/uH+4P7d/uT+9v8H/w3/C/8I/w//Hf8r/zH/Mf80/zz/Rf9L/07/Vf9h/23/dv95/3//iP+V/57/pf+q/7D/t//A/8z/2//r//f//gAHABgALgBDAE8AVgBcAGYAcABzAHAAbwB3AIgAmgCnAK8AtAC7AMQAzwDeAPEBBQEWASABJQEqATABOgFHAVgBaAFyAXYBeQGDAZcBrQG7AcEByQHfAgMCKwJNAmoCiQKtAs8C5wL0AwMDJwNmA7AD6AP1A94DxAPKA/UELgRZBHIEjQS7BPQFJAVCBVkFdwWeBcUF6wYaBlUGkgbCBucHDwc3B00HRwc2By4HCgaGBZkExwTUBiEIQwpaC9YMxg2MDlwPGg+jEAEQTBCNELsQ1xDpEOAQnBAoD7sPeg82DpkNjAxiC4cLFwrYCo4KOQn9CeYJ3wnRCb8JtAmsCZsJfglZCTUJEAjqCMMIlghgCCcH9gfSB6oHbgciBtoGqAaGBmUGOAX/BboFaQUPBLMEWwQDA6UDQgLmAqACcQJSAjcCGwICAfQB9QICAhkCNgJVAmwCbgJXAi8CAgHXAbEBkwF2AUcA8AB9ABn/9QASADcAKf/X/2P+9f6X/jn9zP1Y/PL8pPxr/Dj8CPvj+9X73/vz+//7//v+/Aj8Gvwo/Cr8H/wQ/AH78/vj+9P7x/vH+9f77/wD/A78GPwq/EP8Wvxs/H78mvy8/Nv88/0N/TL9Xf2F/aP9u/3T/ez+B/4h/jn+UP5k/nf+i/6d/qn+rf6u/rH+uP7C/sz+1/7i/u7++/8J/xr/Lf9B/1X/Zf9y/37/jP+h/7r/1v/zAA4AKQBDAFwAdQCPAKsAyADjAPsBEQElAToBUgFrAYIBmAGvAccB4QH5AhECKgJEAlwCcgKIAqECvQLYAvIDDAMnA0IDWwNyA4oDowO8A9YD7wQJBCUEPwRaBHkEngTFBOcFAAUUBSYFNAU4BTIFKgUrBTYFQwVMBVAFVQVdBWcFbwV4BYEFiQWRBZkFogWtBbkFxAXPBdsF5gXzBgEGEAYfBi4GQQZXBmoGeQaGBpcGrgbHBtsG7Ab8Bw0HHAcqBzsHUAdmB3gHhweXB6sHwgfbCAIIIgg+CFYIawiDCJwIsAi/CNII8wkiCVwJnQnaCggKIQopCi8KNwo6CioKCgnsCdgJxwmxCZoJmAmuCc8J5QnpCeQJ3wnXCcoJvQm6CcEJygnNCc4J0wnZCeEJ8AoRCkQKewqmCs4LCAthC8gMGgw/DD8MOAxCDGIMjAy0DOENGw1eDYoNdg0XDI4MGQvgC+AL9AwEDAwMFAwWDAUL3gu0C5gLiwt/C2oLSQsiCvsK3QrUCuAK7grjCr4KmwqZCrsK6QsJCxMLEgsSCxULGAsXCxELCQsGCw4LIAswCzELIgsQCwsLGgs1C0oLSQsnCuYKjAofCaQJJQi8CH0IbQhuCFcICQeFBukGXwYGBd8F0QW9BZoFcQVPBS0E/gTNBLYExwTcBLsESAOnAxoCxQKeAoYCawJSAkECNwIsAiQCJgI1Ak4CaAJ9AosClAKdAqcCqgKeAocCbgJcAk0CPQI0AksCkALxA0sDggOYA58DnwOTA3kDXANKAz0DIwLvAqwCcQJMAjYCHQH7AdgBvAGlAY0BdQFkAV0BWwFWAUoBOwEwASoBKgEyAUABTQFWAV8BcQGJAZ4BqAGtAbYBwQHIAcQBvQG5AbIBowGNAXYBZQFVAUcBPQE7ATsBOAE3AT8BUAFdAVwBVwFeAXkBmgG1AcgB1gHiAekB7QHuAesB4wHaAdYB1AHHAagBigGFAZsBqgGSAU0A+wDAAKgApwCqAKUAkwBzAEoAIgAC/+f/z/+0/5f/d/9X/zn/HP79/tj+rf6C/lj+Lf3+/c39nf1w/UD9C/zV/KD8b/w9/An70vub+2X7MPr7+sf6lPpl+jj6Dvnm+cD5mPlr+TX49/i5+IT4Wvg4+Bj39/fS96f3dvdD9xb28fbN9qf2f/ZW9iz2AvXY9bP1k/V09VX1OvUm9Rf1C/UI9RT1I/UY9Nn0bPP285vzZPNC8yTzAPLU8pnyVvIY8e7x2fHI8arxg/Fg8UzxQvE08Rvw+fDb8MbwtvCj8Irwc/Bk8FnwS/A58CnwJPAo8C7wMPAv8C7wL/Ay8DfwQPBM8FfwX/Bi8GHwYPBk8HPwjfCn8LTwsfCn8KXws/DO8OrxAPEN8RbxH/Er8TXxPPE88TjxM/Ew8TPxPvFP8WDxafFo8WLxWfFQ8UPxMvEj8R3xIvEy8U3xdfGs8fDyPfKO8uPzQfOs9B/0kfT49Vb1sfYK9lj2lfbL9w33Yfe19/H4Ffg8+H/40vkV+TL5Mfks+TD5M/kr+Rr5DfkR+Sb5S/l7+bP57/os+mn6pPrU+vT7BfsP+yD7O/tU+137VPtL+1f7fvu1++f8Cfwg/DT8RPxN/FD8UPxW/Gj8jvzO/R39ZP2S/av9xv31/jb+gP7S/zH/lf/uACsATwBlAHkAjAChALsA2ADuAPUA8ADuAPoBFwFEAX4BvQH9AjkCdAKuAuADCAMwA2kDuAQQBFwEmATMBQIFOAVsBaMF5AYrBmkGkQasBswG/Ac5B3kHtAfoCBYIPQhgCIUIswjuCTAJbQmgCcsJ+wo3CoAKywsUC1wLowvlDBsMTAyKDNwNNw2ADagNug3PDe8OEw4vDkMOWA51DpgOwg74DzwPiw/dEC0QcxCrENYQ+xEbESoRHBD9EOgQ3hCwECsPWg6bDk4Oeg7KDukOzg6wDrMOxg7HDrcOuQ7gDxcPMw8sDyQPSg+oEBYQXBBgED0QJRAzEFsQhRCqENURBREsEUIRTxFhEXoRihGMEYURfhF1EV8RPREaEQwRIhFbEaQR2hHpEecSABJMEq0S7xL/EvwTChMvE1QTahN3E4UTkhOXE5wTphOyE7UTsROzE74TyBPFE74TwRPPE9kT0hPCE7QTqROaE4cTdRNpE10TSRMwExkTCRL5EuMSyhK3Eq8SqBKaEocSgRKXEsAS3hLfEtoS9RM6E4ETlRNyE0cTPBNDEykS1BJWEbwQ4Q+IDa4LwgpzCjcK+QwmDRYNcw1bDSANAQz+DPcM1QykDHUMSgwUC8wLdwslCtsKkgpCCe4JmwlLCP4IsQhmCCIH6Ae1B4cHWwcuBwAG0AagBmwGMgXyBbIFfgVbBUQFKQUEBNcEqwSBBFYEJwP4A9ADsAOVA3YDUgMtAw8C+wLvAuICzgKwAo4CbAJMAiwCCwHoAcYBowF9AVIBKAEDAOoA1wDDAKQAfgBaAEEAMgAmABoADgAA/+3/2v/K/8D/tv+m/5f/kf+U/5P/hP9t/1j/Rv8t/w7+8/7m/t7+zv68/rT+sf6b/mj+OP48/nz+w/7X/rD+ef5f/mX+af5Y/jT+Dv3p/cL9mv17/Wv9Yv1S/Tj9Gfz5/Nj8s/yI/GH8Qvwt/Bn8BPvt+9j7xfuy+5/7jft8+2v7WPtG+zf7Kvsc+w36/vry+uj63vrV+s36yvrJ+sn6yfrK+sz6z/rR+tP61/rc+uD64/rm+uv68Pr1+v37Cvsb+yv7Nfs7+z/7RvtR+137Zvtu+3b7ffuD+4j7jvuY+6b7sfu5+7/7yPvV++P77/v7/Af8Fvwm/Dj8SPxW/F/8ZPxq/HX8g/yR/J38pvyv/Ln8w/zN/Nf84vzr/PL8+Pz+/Qf9E/0b/SH9KP0z/UH9Tf1S/Vf9Yv1y/YL9jP2Q/ZX9nP2j/an9rv20/b39xf3N/df94/3v/fr+A/4G/gP9/f36/gD+Cf4N/gz+Dv4a/i7+Pf5B/kD+R/5a/nD+f/6E/oX+jf6Z/qP+pv6m/qr+tv7C/sn+yP7H/s3+2f7k/uv+7/7z/vz/CP8U/xz/Iv8n/y3/M/86/0D/R/9Q/1r/Y/9r/3L/e/+F/4//mf+j/7D/vv/M/9n/6P/1//4AAgAKABsANABJAFQAVgBXAFkAXQBfAGEAZwB0AIQAlgClALMAvgDGAMwA1QDhAPEBAwEWASkBOQFAAUIBRAFOAWABdAGDAYsBkQGdAbEBygHiAfUCBgIYAjECTwJsAocCngK2As4C4wLxAv4DEwM6A28DowPEA8wDzAPZA/0EMARfBIQEqATUBQMFJgU5BUkFZgWQBb8F7gYiBl8GmQbDBuEHAgcpB0UHSwdHBz0HAwZdBV4EoQTmBmgIlgqOC+AMwg2bDoEPPw+1EAUQVRCaEK8QkRBgECkP3g+DD0UPNw8cDo8NcwwoCzEKuAqBCkUJ/QnKCbwJugmqCZMJhQmECX0JZwlECR8I+wjUCKgIdghBCBEH6gfJB6AHZwclBuoGvQaVBmgGNAX8Bb0FdAUgBMcEbQQNA6UDPwLsArUCkAJuAkYCHgICAfkCAQIWAjUCWQJ6AosChQJsAk0CLQIEAdABlgFeAR0AxABYAAP/7QATAD4AMf/e/2r++v6X/i79t/1E/O/8wPyl/ID8SPwL++T73vvr+/j7/fwC/A78IPwq/Cb8F/wF+/X75PvO+7T7ofuk+8P78/we/Df8QvxM/Fv8avx4/Iz8rPzS/PP9DP0k/Ub9b/2V/bH9yv3l/gb+KP5H/mL+ef6O/qD+rv65/sD+xP7L/tb+4f7r/vT+/v8N/xz/Kv82/0T/Vv9r/33/iv+U/6H/tf/Q/+8ADQApAEIAWgBxAIkAoQC7ANQA7gEHAR8BNgFLAWEBdwGOAaMBtwHNAeYB/wIYAi8CRwJhAnsCkQKmAr0C1wLxAwoDIgM7A1UDbgOFA5sDswPNA+gEAwQfBDsEVQRuBIgEqQTOBPEFDQUiBTMFQAVFBUEFOgU6BUQFUgVdBWIFZwVuBXgFgQWKBZEFmAWgBakFswW9BcYF0QXcBecF8wX+BgkGFAYgBi8GQgZXBmkGdwaGBpsGtAbNBt8G7gb9Bw8HIAcyB0UHWQdsB30HjgehB7cHzgfmCAgIKAhFCFwIcQiKCKIIswjCCNoJAQk3CXQJtAnyCiIKNAomCgsJ9wnuCeUJ0wm6CaUJlwmTCZkJrQnICd0J5QnlCeUJ5wniCdcJzwnTCd0J4QndCdkJ3QnkCewJ+godClIKiQqyCtMLBQtWC7YMBgwvDDUMMQw6DFgMggytDNcNBw0+DWINUQz8DIUMJQwCDBcMPgxeDHEMdwxiDCoL3wuhC4cLhwuHC3kLYQtHCy4LGwsYCyYLNwsyCxcK/Ar+CxwLPAtHC0ALOQs9C0YLSAtCCzsLOgtBC04LXAtnC20LbgtrC2cLYwthC18LWAtBCxIKyQplCewJbgkGCM0IwAi+CJsIPgevBxIGjgY8BhYGBgXxBdEFsAWTBXQFSQUbBQUFEQUaBO0EdAPVA1EDBQLeArwClAJyAmICXwJeAl4CZQJ3ApACqQK9AswC2ALhAugC6ALeAsgCqgKFAl0CPgI/AnUC2gNMA6ADygPbA+sD+gP3A9oDtgOiA50DkANmAyQC5QK6ApsCeQJPAicCBwHrAc4BswGlAaQBowGYAYQBcwFrAWgBZwFrAXYBhgGUAaIBtwHQAeIB6gHuAfcCAwIHAgEB9wHxAesB2wHCAaoBlwGHAXkBcAFwAXUBdQF2AYIBmgGuAbABqQGuAckB8AIOAh8CKwI7AkwCVQJSAkUCOwI+AkoCTgI4AgwB5AHVAdYBxQGPAUIBBQDvAPgBBgEHAPYA1QCpAHgATgAvABgAAP/l/8f/qf+M/2//Uv80/xP+7/7H/p7+dP5J/hv96/26/Yb9Uf0e/O38u/yG/E/8GPvk+7D7evtD+w763/q0+ov6Yfo2+gn52/mn+W35MPj3+Mr4qPiL+Gz4Sfgf9+33tveB91b3M/cR9uv2wfaZ9nT2TPYj9fz12/W+9aP1iPVs9U71OPU19U31bPVn9ST0rvQw89DzlPNw81TzNvMO8tPyifJD8hfyBfH68eDxuvGY8YbxfPFr8U3xKfEJ8PPw4vDO8LXwn/CU8JDwivB98GvwXfBZ8F7wZPBm8GTwYPBg8GTwafBt8G/wcfBy8HPwdvB/8JHwqfC98MXwxPDC8Mfw0/Dm8PvxDvEc8SLxJvEp8S7xM/E18TXxMfEr8SbxJ/Ev8TjxPfE98TvxOvE58TPxK/Ej8R3xGvEe8S7xS/F28avx6/I28o3y7/Nb8830P/Sq9RD1dvXZ9i/2c/ay9wP3Z/fB9/j4Efgy+HP4wvj9+RH5EfkT+R35IfkX+QX4+vj7+Qf5HvlD+XL5pvnZ+gr6PPpt+pb6tPrM+uX6//sX+yL7IPsc+yb7Rvt2+6P7xPvc++77/PwA+/379/v2+/78GPxI/Ir8x/zu/QL9Ff01/V79hv20/fb+Uv62/wz/TP+C/7T/4AABABcAJAAoAB8ADP/9AAUAMwCGAO4BVgGvAfcCNgJxAqMCyALrAyADcQPOBCEEXgSNBLsE6QUYBU0FjAXSBhEGPwZgBoMGsQbpBycHZAehB9kICgg0CF8IkQjMCQwJSAl7CakJ2goVClkKoArpCzULgQvEC/oMKAxgDKkM9Q0qDUINTw1oDZQNwQ3gDfMOBg4lDkwOdQ6iDtgPHA9uD8YQGhBgEJcQwRDdEOEQzBCwEKgQqxCFD/8PKg5iDgsOLw6CDqwOlw5vDmEObA54DnkOgw6pDt0O/g79DvMPEA9pD9kQIBAgD/MP0w/gEA8QQxBwEJwQxhDlEPYRBhEfETwRThFREUsRQhEwERIQ7RDOEMEQzxEAEUwRlRG6EcMR2hIeEnoSuhLHEr8SyhLzEx8TOhNIE1QTYRNrE3UThROXE6ETnxOaE5kTmBOSE44TlBOhE6kTpROaE5ITixOBE3ETYBNRE0ETMBMdEwwS+RLiEsoSthKoEp0SkRKAEnESbhKAEp8SuBK/EsYS7hM3E3YTfRNREyYTIxMsEwgSpBIgEYoQrg9BDU0LXAokCgYKzwvsDNMNRQ1ODSEM8QzTDMYMtQyUDGMMLAvzC7oLfAs3CusKmwpICfQJnwlKCPoIrghoCCQH5AepB3YHTQcmBv4G0walBnIGNQXuBagFcgVQBToFIQUABNkEsASGBFoELAP+A9UDsgORA3ADTAMmAwMC6wLcAtECvwKkAoMCXwI9Ah4CAAHjAcIBmgFtAT0BEADtANUAxgC2AJwAdwBRADQAIwAXAAsAAP/z/+P/zf+5/63/pv+d/5T/kv+a/5//l/+B/2n/Vf8+/yD/AP7m/tH+uv6l/p7+of6X/nL+Rv49/mX+nP6w/pb+b/5h/m7+fP51/lz+Pv4d/fb9zf2s/Zj9iv13/Vn9Of0c/P382Pyr/H/8XvxH/DL8G/wD++372vvG+6/7lvuA+2z7W/tL+z37MPsi+xH7APry+ub63frV+tD6zPrJ+sf6x/rJ+sz6zvrP+s/60PrQ+tH60/rY+uD65vrq+u769/sH+xj7JPss+zP7PftJ+1T7XPtj+2z7dPt7+3/7g/uM+5f7o/ut+7b7wPvN+9r76Pv0/AD8C/wY/Cf8N/xF/E/8Vvxe/Gn8dfyC/I38l/yf/Kb8rfy0/L38x/zS/Nr83/zj/Or89Pz+/QX9C/0T/R/9K/0z/Tn9Qv1Q/WD9bf13/YH9jP2U/Zr9n/2l/a79t/2//cb9zv3X/eL97P3y/fP99P36/gb+EP4O/gX+AP4M/iP+Nv47/jn+O/5K/l/+bf5y/nT+fP6K/pf+nf6e/qH+qv6z/rn+uv68/sH+yP7P/tX+3P7n/vH++v8C/wv/E/8Y/xr/Hf8j/yv/M/88/0f/Uv9c/2P/av9y/33/iv+a/6z/vv/O/9v/6P/z//n//QAEABQAKwBAAEsATgBOAE8ATwBQAFYAYQBwAH8AjACbAKwAugDCAMgA0QDeAO4A/gESASoBQQFPAVMBVAFaAWgBeAGHAZUBowGyAcMB2QH1AhMCLQJBAlICZQJ6AowCmgKoAr0C2ALxAwMDDQMbAzYDYQOQA7YD0APnBAcENARlBJMEvwTqBRIFLQU6BUYFYQWNBcEF8gYiBlQGhAarBssG7QcRBy0HOgc+BzQG6gYzBTgEnwUZBroI2wqlC8sMnw2DDnkPPA+5EBwQgxDAEJUQCQ9mDusOnA5tDmcOiA6JDggM7wulCrQKTAowCg8J1wmqCZoJlQmFCXAJZwlqCWMJSQkiCP0I2wi1CIYIUwglCAMH5wfHB5sHZActBv0G0AafBmYGLAXzBbUFbQUbBMYEawQHA50DPQL3As0CrAKDAlECIwIJAgUCEwItAk8CcwKLAosCdwJeAk0CPwIeAeEBlQFLAQUAsQBO//r/3//+ACgAIv/Z/2n+9P6F/hP9n/0//Qr8/Pz1/NL8i/w4+/n74Pvk+/D7+fwB/Az8FfwW/Ar79fve+8n7s/uZ+4D7cvt/+6377/wr/E38WPxZ/F/8bPx+/Jj8vfzp/RD9Lv1J/Wj9jf2x/dD97/4S/jX+Vv5w/oX+l/6m/rT+wP7M/tf+4/7w/v//C/8U/xz/KP83/0f/Uv9b/2f/eP+M/5z/qP+z/8T/3v/9AB4APABWAG4AhQCdALUAzgDmAPwBEQEnAT4BVgFsAYIBmQGwAcYB2wHwAgcCHwI2AkwCZAJ9ApcCrgLDAtkC8QMKAyEDOANPA2cDgAOXA64DyAPkBAIEHwQ8BFgEcgSIBJ4EtwTXBPkFFwUuBT4FSgVPBU8FTAVOBVgFZgVyBXoFfgWEBYoFkQWXBZ0FowWqBbMFvAXEBcwF1gXhBe4F+wYFBg8GGAYkBjMGRQZXBmcGdwaKBqIGuwbPBt8G7gb/BxMHJgc5B00HYAd0B4YHmwexB8YH2AftCA0ILQhNCGcIfgiWCKsIuwjMCOoJGglVCY8JwgnuCgwKDwn1CdEJuAm0CbwJwQm/CbkJtAmzCbsJywnaCeAJ3AnZCeAJ6AnpCeEJ3gnmCfEJ8QnmCd4J4AnoCfAKAAoiClYKjAq2CtgLBwtLC5oL3QwHDBoMIwwzDFAMdgybDLsM2w0BDR8NGgziDI0MTAw/DF4MigytDL8MuwyQDDwL1guKC28LeQuIC4sLhAt6C20LZQtrC4QLoAumC5ELeAt0C4ALhAtyC1cLSwtUC2MLZQtdC1YLXAttC34LiguWC6oLxAvYC9cLxQutC50LjAtsCzMK4gqDChkJqwlNCRYJCAkDCNUIZgfJBykGsAZqBkwGPQYqBhAF9QXdBb8FlAVnBU0FTQVKBRYEogQQA5gDUgMpAv8CzQKlApMCkwKWApkCowK3AtEC6wL/AxEDHwMpAywDKAMeAwwC7AK6AoECWgJoArkDNwOxA/4EHAQnBDsEUQRTBDUEDQP4A/gD9wPaA6MDaQM6AxAC4AKqAngCUQIwAhEB+QHwAfEB7AHZAcEBtAGzAbQBsgGyAbsBywHdAe0CAQIWAigCMQI2Aj8CSAJHAjwCMQIqAiECDwH2AeAB0gHGAbgBsAG1AcMBywHMAdIB4wH3Af8B/gIDAh0CQwJkAnYChAKWAqgCrQKcAoACcAJ4Ao4ClgJ7AkgCGgIDAfQB0gGXAVwBQAFJAVoBWwFCARsA8ADFAJ8AfwBmAE8AMwAU//X/2P+8/5//gv9m/0n/Kf8D/tz+tP6N/mP+Nf4B/cz9mP1n/Tb9AvzL/JP8Xvwt+/r7xPuL+1b7KPsB+tr6r/p/+kz6F/nf+ab5bvlA+R75Avjk+L/4lPhj+C339PfB95j3ePdX9zD3Bvbf9rn2kvZp9kL2IvYI9e/10vWw9Yr1bvVr9YX1ofWZ9VT05PRv9BPz0vOi84DzZ/NJ8xPyw/Jz8kLyNPIx8h/x//Hh8dDxxPGw8Y/xafFH8SzxFPD98Obw0/DH8MLwvfCz8KPwkvCL8I7wlvCY8JTwkvCX8KHwo/CY8Ibwe/B88IXwkvCg8LDwvfDF8MfwzPDZ8Orw+fEF8RDxHPEn8S3xLvEt8SvxKfEp8SrxKvEl8RvxEvEP8RHxE/ET8RDxDfEL8QvxDvES8RTxEvES8RrxL/FO8XbxqvHv8kPypPMN83vz6/RZ9MX1NPWh9gD2TfaY9vj3affK9/34DPgg+FT4l/jH+Nj43vjt+P/5A/jy+Nr4y/jK+NT46/kR+UL5cvma+b755voT+kH6afqJ+qX6wPra+u369vr5+wL7G/tA+2T7gPuU+6X7s/u2+6z7nfuS+5P7pvvR/A78S/x2/Ir8lvyk/LP8u/zH/Ov9Mv2O/ej+Nf58/sD++P8Z/yL/IP8a/xH/Bf8H/y3/iwAXALYBQwGoAeoCGgJIAnMCmQK+AvQDQAOXA+UEHwRLBHIEmQTBBPAFLQVzBbcF7gYZBkAGagaYBs4HDQdRB5UHzwgBCDEIZwilCOcJJQlbCYkJuAnsCisKcwrBCxELXQugC9YMCAxBDIEMuQzaDOQM7g0MDT8Ncw2XDasNwA3hDgsONg5cDoUOvg8MD2oPxxAVEFEQfhCWEJMQdRBZEFkQbBBXD+QPHQ5bDf0OGA5qDp0Oiw5QDh8OFA4jDjsOVg57DqgOyw7TDsgO0g8LD2QPpQ+sD4oPdA+LD8MP/xAwEFwQghCdEKwQuxDWEPQRCREQEQwQ/hDiELsQlhB9EHQQfRCkEOwRPBFyEYkRpRHnEkISgxKSEocSjxK1EuES+xMJExcTKBM4E0UTVRNoE3cTexN2E24TZhNfE18TaBN1E3wTfRN8E3sTdxNsE1wTSRM0Ex4TCxL/EvUS5RLNErYSpxKdEpESgBJxEmkSbBJ5EosSnBKpEsES9hM/E3ATZhMvEwcTCRMOEtkSZBHcEUwQbQ7pDNsK6QnRCdkKrgvADKcNOQ1zDVsNEAzDDJgMjAx+DFQMFQvWC6ULeQtCCvkKpQpQCfwJpwlSCP8IswhtCCkH5AekB24HRAceBvcGzwakBnMGNQXrBaQFbgVLBTIFGQT9BN4EuwSRBGMEMwQFA9kDsAOLA2sDSwMnAwEC4gLPAsMCtQKcAnkCUgItAg0B9AHcAbwBjwFbASgA/QDaAMEAsQClAJEAcgBOADIAHwAP////8P/k/9f/xf+v/5//l/+S/47/kP+b/6b/ov+P/3b/Yv9P/zf/Gf78/uD+xP6p/pz+nv6c/ob+Y/5Q/l3+eP6B/nP+Yv5j/nT+gf5+/nT+av5c/kH+Gv3y/dL9uP2Z/XX9U/03/Rv89/zK/J38evxg/Ej8LvwT+/r75fvR+7v7ovuL+3X7YvtR+0L7Nfso+xv7DPr8+u764/rb+tb60vrO+sz6zPrN+s/6zvrL+sn6x/rF+sX6yPrP+tn64Prk+uf67fr6+wj7Ffsf+yn7NPtB+0v7Vftd+2f7cPt3+3z7gPuG+477mful+7H7u/vG+9H73fvq+/b8APwL/Bf8Jfwx/Dr8Q/xM/Ff8Yvxs/Hb8f/yI/I/8k/yY/J/8qPyy/Lv8wfzG/Mz81vzi/Ov88vz4/QH9C/0U/Rv9I/0u/Tz9Sv1Z/Wn9ef2G/Y79kv2X/Z79pv2t/bP9t/29/cb9z/3X/dz94/3w/f7+B/4E/fn99f4A/hX+Jv4s/iv+Lf44/kn+Vv5d/mP+bf56/ob+jf6R/pf+oP6p/q7+sf61/rr+vf6//sT+zv7c/uj+7v7z/vr/Av8I/wr/DP8R/xj/IP8q/zb/Q/9N/1P/WP9f/2v/e/+M/53/rf+7/8f/0v/d/+b/7f/1AAMAFQAnADQAPABEAEoATgBSAFkAZQByAH4AhwCTAKMAsAC4AL8AygDaAO0A/wESASYBOQFFAUwBUgFZAWIBawF4AYsBoQGzAb4BygHfAfwCGAIrAjoCTAJhAnYChwKYArAC0QLyAwgDEQMVAyUDRwN4A6gDzgPsBA0EOARqBJoExgTvBRMFLQU6BUcFYgWPBcQF8gYXBjgGWwaABqkG0wb3BwwHEgcUBwQGsgX8BR0EtwVcBwII/QqTC5kMaQ1WDk4PEw+gECYQqhDZEGIPYw5TDZ0NTg1DDWINkw2YDSEMJQsGCkMKBAoHCfkJyAmYCYEJeAltCWEJYAliCVQJLgkBCNsIvQiYCGgINwgRB/gH4QfAB5MHYAcyBwYG1gadBl8GIwXpBagFXgUNBLkEYAP+A5kDRAMMAuoCygKeAmwCRAIyAjQCQwJaAnQCiQKLAncCVwI/AjoCOgIkAesBnwFYARcAzABuABX/6f/zAA8ACf/K/2H+6v5x/fj9jf1F/Sz9M/0z/Qv8uvxc/BL77fvn+/D7+/wC/AX7//vy+9/7x/uu+5T7fPtr+2D7Y/t6+6v77fwo/En8T/xM/FL8ZvyE/Kj80fz+/Sj9TP1q/Yj9qv3O/fX+Hv5F/mX+e/6K/pf+pf6y/sH+0/7s/wb/Hf8t/zf/Pv9E/03/Wf9n/3P/ev+B/4v/nP+v/8H/zv/b/+4ACAAlAEEAXAB1AI0ApwDBAN0A9gENASABMwFIAWABeAGOAaQBugHUAe0CAwIXAioCPgJUAmoCggKaArECyALfAvYDDgMmAz0DUgNoA34DlgOtA8YD4gP/BB0EOgRWBHIEiwShBLMEyATkBQUFJgVABVEFXAVhBWIFYQVkBWoFdAV/BYcFjAWPBZMFmAWfBaYFrAWyBbkFwAXHBc4F1gXhBe0F+QYEBg8GHAYrBjsGSwZbBmsGfgaTBqkGvQbOBt4G8AcFBxoHLAc+B1EHZQd7B5IHqQfAB9IH4QfyCBIINAhWCHUIkAioCLwIywjeCP8JMglsCaAJwwnVCdUJwwmnCY0JhQmOCZ8JsQnBCc0J0gnSCdEJ1AnXCdQJzQnMCdcJ5AnpCeQJ4wntCfcJ9QnpCeAJ4wntCfcKBwonClgKjAq5CuELDQtDC3sLsAvfDAUMIQw3DE8MbQyMDKYMuwzSDOgM6gzLDJgMcQxyDJIMuAzQDNgMyQyWDD0L1guKC3ALfQuXC6wLtwu5C7QLswvHC/IMGwwnDBEL8QvdC9MLvAuTC20LYAtvC4ILhQt7C3ULgAuWC6cLswvGC+4MIwxKDEwMLgwJC+4L0QuZC0IK4QqICjcJ3wmHCUsJOgk1CQUIigfdBzgGyAaUBoIGdwZmBlAGOgYjBgUF2gWrBYsFfQVqBTAEwwRBA9YDlgNuA0MDDwLkAtACzgLRAtUC3gLzAxADKwNDA1cDZgNvA20DZgNcA0wDKwL0ArQCjwKpAwkDjwQEBEQEVwReBHIEjASSBHoEVgQ/BD0EPgQuBAwD5AO8A4sDTQMHAskCmwJ5AlwCSAJBAkACNwIhAgwCAwIFAgYCAQH9AgYCGgItAjwCSwJcAmwCdwJ+AoUCigKGAnoCbgJmAlsCRwIvAh8CGAIQAgIB+gIEAh0CLwItAiQCJQI1AkkCWAJnAoECpALBAtIC2wLjAuoC5ALJAqYCkQKWAqkCrAKOAlwCMwIfAhIB9gHNAa0BqAGzAbEBkgFfASwBBgDqANIAuwCjAIYAZQBCACMAB//r/87/s/+Z/37/YP88/xb+8f7M/qX+eP5G/hL93v2s/Xr9Rf0N/Nj8pvx2/EP8C/vT+5/7c/tM+yT69vrC+or6UfoZ+eL5s/mP+XX5XPk6+Qz42Pig+Gj4MvgC9933vvee93n3Tvcl9v321fat9oj2afZN9jP2FfXy9cz1rPWh9az1t/Wj9WP1B/Ss9F/0GPPZ86vzlvOE81bzBPKs8nXyaPJq8l7yQfIj8hHyBPHv8dDxrfGL8WrxS/Ew8RzxC/D88O3w4/Db8NLwxvC+8L7ww/DF8MTwzfDl8P/xAvDk8LXwkPCF8JDwovCz8L/wxfDE8MXw0PDm8QDxEvEc8STxK/Ew8TPxM/Ey8S3xJPEb8RjxGfEV8Qjw+fDy8PXw+vD48O3w3vDV8Nbw4vDy8Pzw/fD+8QfxHPE28VTxffG58gbyXfK88yPzkfQB9HP06PVd9cj2IvZ79un3ZPfJ9/b3+ff/+CX4X/iI+Jj4ofi3+M/41vjE+Kr4mPiU+J34t/jj+Rb5Qvli+X75pPnU+gX6LfpK+mH6e/qa+rr60PrZ+t/67/sK+yX7OftF+1P7Yftk+1j7RPs2+zj7Tft0+6r74fwJ/B38Ivwj/CL8HPwa/C78Yfyo/PP9Ov2B/cb9/P4V/hb+E/4a/i3+Sv58/tj/ZwAbAM8BXQG3AecCBgInAk4CeAKmAt8DIQNnA6YD2wQJBDEEVAR0BJ0E1AUaBWIFoQXWBgMGKwZTBoMGwAcJB1EHkAfEB/UILAhrCK8I8gkvCWMJkgnECgEKTAqdCusLMAtqC54L1AwNDEMMagx8DIMMkgy4DPANKA1RDWkNfQ2bDcYN8w4cDkMOdg7BDx8PfA/IEAQQMhBOEEoQKBAGEAQQHBAXD78PFw5oDgoOGw5uDrAOqg5fDgMNyw3MDfIOHg5EDmsOkg6pDqYOnw6zDukPIQ81DyoPJQ9CD3oPtA/mEBMQPBBZEGkQdRCKEKUQuhDEEMQQtxCYEG4QSRAzECwQMhBSEJIQ3hEVETARUBGVEfQSOxJREkwSVRJ4Ep0SsxK9EswS5hMAExITHxMuEzwTRRNEEzwTMRMrEzATPhNPE1sTYxNpE2gTXhNMEzoTKBMSEvkS5BLbEtgSzhK7EqgSnhKWEocSdRJrEm0SdRJ9EoQSjBKdEsAS/RNCE2cTUBMWEvIS9RLtEp4SEhGDEPcQEw58DF4KdwmJCb8KqAu2DJ8NUw29Db8NXgzdDIUMaQxiDEEMAwvAC48LaAs4CvQKogpNCfsJqwlZCQoIwQh7CDUH7gepB28HPwcUBuoGwwadBnAGNAXrBaUFcAVLBS4FEgT6BOIExQSdBGwEOgQLA9wDrQOFA2cDTAMsAwUC4QLJAroCqgKRAm4CRQIcAfwB5QHRAbEBggFMARwA9QDUALYAnwCRAIIAagBMADEAHgAM//b/4v/V/83/wf+t/5n/jf+H/4X/iv+X/6X/qP+Z/4H/a/9a/0b/Lf8S/vb+2f68/qn+pP6i/pX+e/5l/lz+Xv5b/lP+Uv5e/mr+a/5l/mj+eP6G/oD+Yf43/g395v29/ZP9bv1P/TD9Cvzf/LX8lPx5/F/8Qvwi/AP76fvT+7/7rPuX+4L7bftZ+0f7Ofsu+yT7GPsK+vr67Prj+t362PrT+s/6zPrL+sn6xfrB+r/6v/q/+sD6wvrI+tH62vrh+ub67fr3+wP7D/sZ+yP7Lfs4+0P7TvtZ+2L7a/tz+3r7f/uF+437lvui+677t/u/+8f70vvd++n78/v9/An8Ffwe/Cb8L/w6/ET8TPxS/Fr8ZPxv/Hb8e/x+/IP8ivyS/Jr8ofym/K38uPzF/NH82vzh/Oj88fz6/QH9B/0Q/Rz9K/07/Uz9YP1y/X/9hf2I/Yv9j/2V/Zn9nv2j/az9tv2//cb9zv3Y/eL96P3o/eX95/3z/gP+D/4U/hb+Gv4k/jD+PP5H/lL+Xv5p/m/+c/54/oD+iv6U/pv+oP6m/qj+qP6m/qv+uP7J/tb+3P7e/uP+6/7y/vf++/8A/wX/C/8U/yL/Mf87/0D/Rv9Q/2D/cv+B/47/mv+l/6//uv/G/9L/3f/n//MAAQAPABwAKAA2AEQAUABZAGIAbQB4AIAAhwCQAJ0AqgC0AL4AygDcAPABBAEWASIBKQEuATUBQgFPAVkBYAFrAYEBmwGtAbYBuwHHAdoB7QH8AgsCIQI+Al0CdwKPAqkCxgLgAvQDAQMPAyQDRgNvA5gDvAPdBAIELwRfBIwEtATaBP0FGQUrBT0FWQWFBbkF5AYBBhUGKwZPBn8GsgbWBuMG4gbdBsQGawXBBQ8E6QW6B10JKgqRC4QMWQ1HDi0O2g9fD+4QeRCZD/kOxA2GDLMMWwxLDGAMgwyHDC4LcAqdChgJ+goGCfQJvAmGCWsJZAlhCV4JYAlgCUsJIAjvCMcIpgiACFIIIwgBB+cHzQepB34HUwcrBwAGzQaSBlYGHAXfBZsFTwUBBLAEWAP5A5wDVQMoAwoC6wLFAp8ChgJ+AoMCjwKdAqYCoQKMAmoCSgI4AjcCOQIrAgIBygGQAVEBAgChAEUAEAAJABMABf/L/2z+9/54/fr9k/1Y/U39V/1O/R38yPxs/CL7+Pvr+/H7/vwF+//77PvT+7z7pvuO+3X7ZPti+2z7e/uR+7T75PwS/C38Mfwy/EL8ZvyT/L785/0Q/Tn9YP2B/aD9wf3o/hX+Q/5p/oL+kP6Z/qf+uv7N/uL+/f8h/0b/Yf9u/3H/c/95/4T/j/+Z/6D/pv+u/7v/zf/h//MAAwARACIANgBMAGMAeQCOAKQAvgDbAPgBEgEoATsBTwFnAYEBmgGwAcUB2wH1AhACJwI6AkoCXAJyAooCoQK2AssC4AL4AxIDLANEA1oDbwOFA5wDswPKA+ID/QQZBDUETwRpBIEEmQSuBMEE1ATtBQ0FMQVRBWcFcgV2BXcFdwV4BXkFfAWCBYgFjQWQBZMFmAWgBakFsAW1BboFwQXIBdAF1wXfBekF8wX/Bg4GIAYyBkMGUwZiBnMGhQaXBqcGtgbHBtwG8wcJBxwHLAc+B1IHageCB5oHsgfHB9gH5gf4CBoIOwheCH4InAi3CM8I4gj4CRcJRQl5CaYJwQnACacJggljCVkJZAl1CYMJjwmiCbkJyQnLCcMJvQm8CbwJuwm+CcoJ2AnfCd8J4gnsCfYJ9QntCecJ6wn2CgIKEwoxCl4KkQrCCu4LFws8C2ELjQvGDAIMMAxHDFMMZwyFDKIMtQzADMYMwQypDIYMcQx8DJ0MvAzIDMEMqAx3DC8L4QunC5ILnwu+C98L9wv+C/gL+QwZDFQMiAyUDHYMSAwlDAcL4AuvC4kLhAuXC6wLrwumC6ILrgvAC8sL0wvsDCUMcQypDKwMgQxMDCEL8QuiCzUKzgqFCksKAQmlCV4JSwlQCSkIqgfxB0YG4Aa8BrYGrwadBogGcgZbBjwGEgXlBcAFpAWABTsE0ARbA/8DygOoA4IDUQMmAxADDAMOAxEDGgMvA00DbAOFA5kDpwOsA6kDoAOVA4MDYAMnAusC0AL2A1wD2wRCBHcEgwSHBJgErgS2BKgEjQR4BHAEbwRrBGEEUgQ3BAUDuwNoAyAC7QLKAq8CmwKQAooCgQJyAmQCXAJaAlYCTgJNAlsCcQKFApICnAKoArQCvALCAsYCyALBArUCqAKfApMCfwJsAmQCZQJhAlQCSgJXAnYCjwKNAnYCZwJ0ApcCvgLeAvkDEgMkAykDIgMZAxEDBwL1At0CywLHAscCuQKYAnACVgJQAkwCPAIjAhICDQIFAecBsgF4AU4BNgElARIA+QDaALgAlABzAFYAOwAfAAP/5//N/7L/k/9x/07/Lf8K/uT+uf6J/lb+I/3w/bv9hv1Q/R/88Py//Iv8U/wd++37wvuZ+237O/sF+sv6kfpY+if5//nh+cj5rPmE+VD5Ffja+KT4c/hI+CX4Bvfn98L3l/dr90H3GPbz9s/2rvaO9m/2UfYy9g/17fXU9cf1ufWY9WD1H/Ti9Kb0X/QT893zyfPC85zzSvLr8q7ynfKe8pDycPJR8j7yMvIf8gXx6PHJ8abxgvFm8VXxR/Ez8R7xD/EJ8Qbw/PDw8Ojw5/Dp8PLxDvFA8XDxefFM8P7wuPCV8JTwovCy8L7ww/DD8MXw0fDp8QPxF/En8TPxO/E78TTxMPEv8SvxHvEN8QTxA/EA8PHw3/DY8N7w6PDl8NPwuvCq8KrwufDN8Nnw3fDj8PTxDvEo8UDxYPGP8c7yFvJn8sbzM/Om9Bv0k/UO9YL16fZR9sv3T/e099z31PfP9+74JfhO+F34ZPh3+JD4nfiX+If4efhz+Hn4kPi7+On5Dfkj+Tz5ZPmb+c/59PoJ+hf6LPpO+nn6m/qs+rH6vPrS+uj69Pr3+vv7BPsI+wD68vru+vz7F/s5+137gfub+6b7pfuf+5v7mfue+7D71vwJ/ED8efy2/PL9Hv0y/Tj9Sv11/br+Ef58/wb/rABbAPQBYQGhAcYB4gIBAikCWwKVAtEDCgM6A2YDlAPFA/UEGgQ5BF4EkwTXBR4FYAWYBccF8QYZBkgGhQbLBxIHUAeFB7cH7wgtCHAItAj2CTEJZgmcCdwKJwp3Cr0K9QsjC1ELhQu5C+QL/wwODB4MPAxrDKUM3Q0HDSENNA1MDXINow3VDgQOOg6DDtsPMg96D7QP5hAJEAsP6w/GD78P0g/SD4wO/g5fDfgN9g5GDqQOww6CDgUNnA19DaIN3A4IDiwOVQ55DoMOdQ5vDooOtw7XDuEO6Q8HDzkPbQ+dD8sP+BAZECgQMRBCEFoQbxB6EHsQcRBYEDMQEA/4D+4P8xAREEoQjBC5ENIQ9hE/EaAR7BIKEg4SHRJBEmUSdhJ7EogSpBLGEuES8hL8EwYTDhMQEwsTARL7EwITFBMpEzoTRRNME0gTNhMfEwwTARL0Et8SyhK/Er0StxKqEp0SlRKNEn0SbRJpEnMSfhKBEn8SghKTEroS+BM3E1MTNxMBEuQS5hLNEmIRuhEaEIQPlg30C9cKEAlZCb8Kugu8DJYNUA3aDfsNpA0QDJYMXQxHDCgL8AuwC3wLTgsaCtcKigo6CewJoAlWCQ4IygiHCEIH+Qe0B3UHPwcNBt8GuQaWBm0GNAXtBakFdgVRBTEFEgT4BOMEyAShBHAEPgQPA94DrQODA2YDTgMwAwkC5ALIArMCngKCAl8COAIPAe0B1gHCAaMBdAFBARcA9gDWALMAlACBAHQAYQBGAC0AHAAM//f/4P/R/8r/wv+v/5n/h/9+/3v/f/+M/57/p/+f/4n/cv9f/0v/M/8X/vr+3v7C/q3+of6a/o7+fP5r/l7+VP5I/j7+P/5G/kb+OP4r/jL+Uv52/oX+d/5W/i7+Bv3c/bP9jf1p/UH9Fvzr/Mn8rfyV/Hn8Wfw1/BL78vvX+8P7svuh+4/7evtm+1L7Qvs2+yv7IPsR+wH68vro+uD62vrT+sz6xvrB+rz6uPq2+rf6ufq7+rz6vfrA+sj60vrd+ub67vr2+v/7CfsT+xz7JPsu+zn7RftR+1r7Yvtq+3P7e/uD+4v7lfuf+6n7sfu3+737xvvR+9v75Pvu+/r8BfwO/Bb8Ifws/DT8OPw6/ED8S/xX/GD8Zvxp/G38cvx3/H38gvyJ/JD8mvyn/LT8wPzJ/NL83Pzl/Ov88vz6/Qb9FP0i/TD9Qf1U/Wb9cv12/Xb9df14/X39gv2K/ZT9oP2r/bT9uf29/cH9xP3G/cz91f3i/e398/33/fz+BP4N/hf+If4u/j3+Sv5S/lT+Vf5Y/l/+aP5y/nv+hP6K/ov+h/6F/ov+nP6w/r7+w/7F/sn+0P7Z/uH+6f7u/vL+9f79/wv/G/8o/zD/OP9H/1r/a/94/4L/jf+Y/6T/r/+6/8b/0f/d/+r/9wAEAA8AGwAqADsASwBZAGYAcgB8AIMAiQCRAJ0AqwC5AMYA0gDhAPMBBwEXAR8BHgEcASMBMwFGAVMBXQFsAYEBmAGpAbIBuQHDAc0B1AHbAesCBgInAkgCZgKBApgCqgK3AsQC1wL0AxcDOwNdA30DnQPBA+oEFgRABGcEjQSyBNYE9gUOBSUFQwVtBZ4FzAXqBfwGDQYtBl8Gkwa2BsEGvwa3BpMGLQWNBQ4FNgZCB+kJjQrIC6wMhg1wDjkOuA8ND3MP3A/nD00ONA0UDEcL0wuVC38LkAuoC4sLIQqcCkIKJQoYCe0JqQlyCVwJWglbCVoJWwlYCUQJGgjpCL0IlQhrCD8IFgf0B9QHsAeHB18HPAcYBu0GuQaDBkwGEwXSBYoFQAT3BKsEVAP3A6MDZwNDAycDDALxAt8C1gLUAtcC3ALgAtgCvwKbAnoCZgJcAlYCTgJBAi4CEAHdAY0BJAC4AGYAQAA9AD0AJv/u/5f/J/6k/h79sf12/Wb9ZP1L/Q78uPxi/B778/vj++j79/wB+/r75PvK+7X7pfuT+4H7efuD+5f7pfut+7r71vv6/BT8H/wo/EL8cfyn/Nj9Af0n/U/9dv2Z/br92/4C/i7+Wv59/pX+o/6y/sr+6P8E/x3/OP9Y/3f/jf+W/5n/of+u/7z/w//G/8n/0v/i//QACAAcAC4APQBKAFQAYgBzAIgAnACtAL8A0wDtAQkBIwE4AU0BZQGAAZwBtgHNAeEB+AIRAisCQgJVAmcCegKRAqkCwALUAuUC+QMRAywDRwNfA3UDigOhA7kD0APmA/0EFQQvBEkEYAR2BIwEoQS2BMoE3ATzBRAFMwVVBW8FfQWDBYUFiAWIBYcFhAWEBYgFjAWQBZMFlwWeBacFrQWyBbgFvwXIBdEF2gXiBesF9AYBBhEGJAY3BkcGVwZnBnkGiQaUBp8GrQbBBtkG8AcDBxMHJQc7B1UHcAeJB6AHtgfJB9oH6wf/CCUIQwhiCIEIoQi/CNwI+AkVCTQJWgmECasJwQm5CZMJYglACTwJTwlhCWgJawl6CZYJrQmyCakJoAmgCaQJqQmuCbgJxQnQCdcJ3wnsCfcJ+gn3CfQJ+AoBCg4KIQo/CmkKmwrOCv4LIgs5C08LeQvADA8MRQxVDFIMWwx4DJwMsQyzDKkMkwx0DFUMSgxfDIcMpgysDJkMdwxMDBsL7AvLC78LygvoDBAMLgw0DCkMKAxODJQMzgzYDLEMeAxHDB4L8QvCC6YLqgvCC9cL2gvUC9ML3QvlC+QL4wv+DEUMpQzsDPIMuQxoDBwL0AtvCwAKpgp0Ck4KCQmlCVcJSAlYCToIuwf9B1IG9QbdBuAG3AbKBrMGnAaCBmEGOwYVBfIFywWTBT0E0ARmBBoD8QPZA7kDjgNlA08DSQNLA04DWANuA40DrAPEA9UD3wPjA+ED2gPOA7gDjwNYAyYDHANPA7YEKgSDBK4EugS+BMcE0ATSBMgEugSuBKkEqQSvBLcEuQSnBHUEJgPNA38DRgMfAwEC6QLYAs4CygLFAr0CtgKuAqcCpAKsAr8C1QLlAu8C9gL9AwMDBgMGAwYDAwL5AukC2gLOAsECswKnAqcCrwKxAqcCngKqAswC6gLrAtICvQLHAvMDKgNVA20DeAN3A2oDUwM8AzADMgM5AzkDLwMbAwEC3wK+AqcCoQKkAqACjQJyAlsCSAIsAf8BywGgAYYBeAFnAU0BKwEIAOUAxQCpAI8AdQBZADwAHwAB/+H/wP+g/4L/ZP9D/x3+9P7I/pn+Z/40/gD9y/2X/Wf9Of0I/NP8nvxs/ED8Fvvq+7j7gvtK+xD61/qh+nT6UPoz+hf59PnE+Yr5TfkU+OT4uviV+HT4U/gx+Ar33vew94X3Xfc69xj28/bM9qj2ivZv9lH2LfYJ9ef1xPWX9WT1NvUP9OL0n/RR9Bj0B/QF8+XzlPMw8uny0fLL8rrymPJ58mnyX/JP8jjyHvIE8eTxw/Go8ZnxjfF58WDxUPFL8UbxNvEe8QrxAvEG8RnxRvGM8c7x3/Gq8Ujw5/Cs8JjwnfCs8LrwwvDF8Mjw0/Dn8P3xEvEp8T/xS/FF8TPxJvEi8R/xEPD88PHw8/Dy8OTwzvDC8Mjw0/DT8MHwqfCY8JfwofCu8LTwuPDE8N/xAPEe8TTxTPFw8Z/x1vIY8m/y2fNN88L0OfS29TD1ofYT9pT3HfeF96z3nveS96z34vgN+Br4HPgn+D74U/hd+GD4YPhe+GD4cPiS+Lj40fjf+PH5GPlO+YX5q/m/+cn52vn6+if6U/pu+nv6iPqc+q/6s/qr+qT6pfqp+qr6qvq4+tT69PsN+x37Kvs0+zb7MPso+yb7LPs6+1L7c/ud+8z7/vw0/Gf8jPyl/MD88/1J/bz+QP7Q/2oABACLAO8BMgFhAYoBsQHYAgICOAJ6ArsC7wMSAy8DVQOGA7oD5QQJBDIEagStBO8FKQVcBYkFtAXfBhIGTgaTBtcHFgdQB4kHxggECEIIfwi6CPUJLQloCasJ9Ao/Cn8KsArXCv0LKQtUC3gLkQunC8cL9AwqDGAMkQy4DNMM5gz7DR4NUg2LDcIN+Q48DowO3g8mD2UPnw/JD9IPuQ+YD48Pmw+WD1UO0A4rDasNiA3QDk8OpQ6LDgsNfg0/DVsNnQ3RDfIOFg4+Dk8OQg4zDkEOag6RDqQOsg7QDv8PMA9eD4sPtQ/TD+AP6A/8EBkQMRA5EDQQKBAVD/sP3g/GD7gPvQ/bEBEQSxBzEI0QthEDEWIRrRHPEdsR7xIVEjoSTBJPElUSaxKOErESyhLUEtgS3RLjEuQS3BLTEtYS6RMAExATGBMaExQTAxLvEuIS4RLeEtESvBKtEqUSnxKWEo0ShxJ/EnISZxJpEnQSfBJ5EnISchKEEqwS6BMhEzQTFRLkEs8S0hKsEioRZxCrD/oO9A1LC0YJtQk/CdYK2Qu7DGUM/Q2FDcoNpg01DLwMZwwyDAYL1gukC3ALNgr1Cq8KZwoeCdUJjAlHCQQIxQiFCEQIAAe+B38HRgcQBuAGuAaVBmsGMgXsBawFfAVbBTwFGgT6BN8EwwScBG0EPQQPA98DsAOHA2oDUAMxAwwC6ALKArACkwJzAlECLQIGAeMByQGzAZUBaQE4ARIA9wDaALQAkAB5AGsAWQA/ACYAGAAN//7/6f/Z/9D/xv+y/5j/g/93/3L/df+A/5H/nf+b/4v/dv9i/0z/MP8R/vH+1f68/qj+mf6L/nz+bf5k/l/+Vv5G/jT+Kv4m/hr+A/3u/fD+Df4y/kr+Sv46/iD+A/3k/cX9pv2B/VL9Ifz3/Nv8xvyv/JL8b/xK/CX8Afvk+837uvup+5f7hftz+2L7UvtD+zX7JvsW+wX69vrr+uL62vrT+sv6xPq8+rX6sfqx+rP6tfq2+rX6tfq4+sD6y/rY+uP66vrv+vX6/vsI+xL7Gvsi+yz7N/tD+037Vvte+2f7cft6+4T7jfuX+5/7pvut+7T7vPvF+8371vvg++v79vwB/Av8GPwj/Cn8Kvwq/C38N/xD/E38VPxY/F38YPxi/Gb8avxx/Hn8gvyN/Jn8pfyw/Lr8xvzQ/Nj83vzn/PT9A/0P/Rf9IP0v/UP9Vf1e/V79XP1c/WH9aP1x/Xz9if2W/aD9pv2o/ar9rP2w/bf9wf3M/dT92P3b/eL97f33/f/+B/4S/iD+Lf40/jb+N/46/j/+Rf5O/lr+Z/5v/nD+a/5p/nP+hf6Z/qf+rP6u/rP+u/7E/s7+1/7d/uH+4/7q/vn/Cv8Z/yX/MP8//1D/X/9q/3T/gP+O/53/qf+z/73/x//U/+P/8f/+AAoAFQAiADMARQBWAGYAdQCBAIoAkQCYAKIAsADBANAA3ADmAPIBAwESARoBGQEYAR4BKwE6AUgBVgFpAX4BjQGXAaEBsAG9AcIBwQHEAdYB8wISAi4CSAJhAncChQKOApoCsQLVAv4DIwNDA2IDhgOuA9cD/AQdBD4EYwSLBLIE1ATyBQ0FLAVSBYEFswXcBfYGDAYrBloGigapBrQGtgarBnQF9gVYBQ8FjgbiCJUKEwsdC+wMyg21DmoOvg7XDvMPEw75DncNqQzXDCcLlwskCugK+gs4C1sLNwrkCpYKYAorCeQJmQloCVgJWQlYCVMJUQlMCTgJEgjiCLEIgghVCC0ICgfoB8EHkwdnB0EHIAb8Bs8GnwZwBkEGCAXCBXUFLAToBKEETQP1A60DfQNdA0EDKAMaAxkDHQMZAxMDEAMOAv8C3gK3Ap4CmAKSAoACaAJbAlsCTgIRAZ0BEgCiAGwAawB8AHwAXAAg/83/Yf7Z/kn90v2L/W79Wv0y/O78nvxR/BX76/vX+9j76Pv3+/j76fvX+8v7w/u5+7D7sPu9+8z70PvL+8374vwG/Cb8NvxB/Ff8gPy1/Or9G/1J/XP9mP25/df99v4Z/kD+aP6N/qv+w/7d/v3/Iv9E/1//dP+F/5P/nf+o/7n/0//u//z/+v/x//D//QAVACwAPwBOAF0AagBzAHkAggCTAKsAwgDSAN8A7gEEAR0BNQFLAWEBewGYAbQBzQHkAfoCEAInAkACWAJvAoUCmwKxAskC3wLyAwIDFQMtA0gDYgN5A40DoQO3A84D5AP6BBAEJwRABFkEcASGBJoErwTGBNsE7wUCBRkFNQVTBW0FfQWGBYsFjwWSBZAFjAWKBYsFjwWTBZUFmAWdBaMFqQWvBbYFvwXKBdQF3wXpBfMF/AYHBhQGJQY2BkUGVAZmBngGhwaRBpsGqwbCBtcG6Ab2BwcHHgc7B1kHdQePB6cHvAfQB+IH9QgLCDEISghmCIUIpAjDCOQJBwksCVEJdAmUCa4JugmrCYIJUQkvCSwJPAlNCVIJVwlnCYMJnAmjCZsJkgmSCZcJnAmiCaoJtwnFCdMJ4gnxCf4KBQoFCgMKBQoMChkKLQpLCnIKoQrWCwgLKQs5C0kLdgvHDCAMWAxfDEwMRgxdDIEMmgycDIsMbgxLDC4MKQxDDG0MjAyQDHgMUgwrDAoL8gviC9sL4Qv7DCUMSQxTDEUMQgxpDK8M6gzxDMQMhAxMDB4L8QvLC7wLyAviC/UL+gv5C/wMBAwDC/UL6wwGDFcMyw0nDTgM9AyADAQLjQsaCrMKcQpWCj0J/QmfCVgJTglfCTsIuAf7B1gHAwbzBvoG+AbqBtUGvAadBnoGWwZABiMF9QWqBUME0ARvBDMEFgQFA+sDxwOmA5IDigOJA4sDlgOtA8sD6AP+BAwEFAQYBBkEFQQIA+wDwQOQA28DegO5BB0EgwTMBPAE/QUCBQQE/wT1BOsE6QTuBPQE/AUGBRAFEwUABNAEhgQwA+ADoANxA00DLwMbAxADEAMSAxADCQMCAwIDDAMeAzEDPwNHA0wDUANVA1YDUwNOA0gDQAMxAxwDCAL6AvAC6ALlAukC8wL6AvkC9gMCAyEDQwNRA0MDMAMyA1QDhwOyA8MDvgOsA5MDeQNmA2MDdQOQA6ADlwNzA0IDFQL6AvQC+wL+Au0CyQKgAn0CYAI+AhYB8QHYAcgBuAGdAXoBVgE0ARYA+wDiAMsAsgCVAHYAVQAyAA//7P/N/7H/lP9z/1D/Kv8D/tj+qv57/kn+Ff3g/a/9f/1P/R386/y+/JT8afw4/AH7yfuR+1n7I/ry+sj6pvqG+mL6NPn9+cD5hflT+Sv5Cfjp+Mb4oPh4+E34H/fx98f3oveC92D3OfcO9ub2x/as9pD2bfZE9hj16vW39YT1W/U99Rn03vSU9Fz0SvRK9C/z4vN88yzzCPL78ufyyPKs8p7ylvKH8nDyW/JH8jDyFfH98e/x4/HP8bbxovGX8YnxbvFK8S3xIfEn8T/xcvG98gLyFvHi8X3xE/DK8KrwqPC08MPwzPDM8M3w1vDn8PrxDvEo8UPxUfFH8S7xGfET8Q/w//Dq8OHw6PDu8OHwyfC58LnwwvDE8LjwqPCd8JnwmfCY8JXwlvCm8MXw7PEM8SXxPfFd8YHxqfHc8ibyh/L082Pz2PRW9NX1S/XA9kL2yvc09173VPdH91/3kPe398L3wPfJ99739vgM+CH4NPg/+EL4TPhk+IL4lvid+Kb4wfju+SH5Tvlt+YL5lPmw+dn6CPou+kb6Vvpm+nL6b/pe+k76SvpR+lr6aPqA+qL6wPrP+tD6z/rR+tP6z/rI+sb6z/rj+wD7JvtU+4j7v/v1/CP8Sfxw/Kj8//12/gL+lP8n/7MALACFAL8A6wEaAVIBiAGyAdkCCwJNApMCzALxAw4DMANcA4sDtgPgBBEETQSMBMYE9gUhBUoFdQWlBdwGGwZfBqUG6AcqB24HsAfuCCQIVAiECLYI7gkqCWsJrwnyCjEKZAqMCq4K0Qr2CxgLNwtZC4YLvgv2DCYMTgxuDIkMngy1DNgNDA1IDX4Nrw3mDisOeQ7GDxAPUw+ED5MPgg9pD2APZQ9XDxAOhg3WDTsM+g03DcoOTw5gDfMNXQ0LDR0NYQ2XDbUN0Q3xDgMN/A31DgkONg5cDm0Odw6UDsQO9w8kD0wPcQ+JD5MPnQ+1D9kP9A/4D+oP1w/GD7UPow+SD4gPjw+vD+EQFhA+EF4QjhDbETkRhxGzEcYR1xHxEg4SIxIsEjASPRJZEn8SnhKqEqsSrRK4EsASuxKvEq4SwBLYEuUS5BLfEtoS0hLHEsASwhLEEr0SqxKZEo4ShxKBEnoSdBJsEmQSXxJkEmsSbRJkEloSWxJuEpkS1RMJExMS7hK+ErASthKIEfURGRA7D2EOOgyNCq8JZgk5CfsK/Qu3DCAMegzmDUQNYw05DOEMewwfC9sLsQuRC2ULIwrWCo0KSgoHCb8JdgkyCPIItQh5CD4IAgfFB4kHUAcaBugGuwaTBmYGLAXoBaoFgAVkBUcFIwT7BNcEtgSRBGUEOAQMA98DtAONA24DUQMvAwoC5wLKAq0CjAJoAkYCIwH+AdgBuwGkAYcBXQEvAQwA9QDbALcAkQB2AGcAVgA7ACEAEQAKAAD/8f/i/9f/yP+x/5X/fv9x/2z/bv92/4P/jv+P/4P/c/9g/0v/L/8P/u7+z/63/qT+lf6E/nD+YP5b/l3+Wf5H/i/+HP4S/gX97/3X/cz91P3m/fX9+v32/er92P3G/bj9qP2M/WD9Lv0H/O/83vzJ/Kr8hfxe/Df8Evv0+9z7x/uz+5/7jft9+277XvtN+z77L/se+w36/vrx+uf63vrW+tD6yfrB+rr6tfq0+rX6tPqx+rD6svq3+r/6yvrW+uD65frn+uv69Pr/+wn7D/sV+xz7Jvsx+z37SPtS+1v7ZPtt+3f7gfuL+5T7m/uj+6r7svu6+8P7zPvW++D76/v2/AL8D/wa/CD8Ifwg/CL8Kvw0/D78RfxK/E/8UvxU/Fb8Wvxh/Gj8cPx6/IT8jvyX/KL8r/y6/MP8yfzS/OD88fz8/QD9Av0L/R79NP1B/UP9QP1A/Uf9UP1a/WT9cP19/Yj9j/2U/Zr9n/2k/aj9rf20/bv9wP3F/c391/3h/ej97v31/f/+CP4P/hT+Gv4i/if+LP40/kD+T/5Z/lv+WP5Z/mX+d/6I/pL+l/6c/qP+q/60/r7+yP7P/tT+2P7g/u3+/v8O/xv/Jv8y/z7/Sf9T/17/a/97/4r/mP+j/6//u//K/9r/6P/2AAIAEAAfAC8AQQBVAGcAeQCIAJMAmwChAKgAsgDCANIA3gDmAO4A+AEFAQ0BEgEXAR0BIwEnAS8BQQFZAW0BdQF4AYEBlAGkAagBpAGpAb8B3wH9AhMCKAJBAlkCbQJ8Ao0CpwLIAuwDDgMvA1QDfgOsA9QD8wQOBCwEUgR7BKEEwQTgBP8FIAVEBXAFpAXWBfsGGAY7BmkGlQavBrgGuQakBlIFtwUcBQsF5Ad+CTsKjgtmDBwM/A3uDp4O3Q7JDp0OaA4ZDaUNIgykDCMLjgsBCrYKzwskC2ULXwshCtIKhAozCdwJkwlqCVwJWQlTCU4JSglDCSsJAwjRCJ0IbAg/CBkH+AfVB6oHeQdMBycHBAbcBq4GgQZbBjMF/AWyBWIFGATWBJAEQgP3A74DmgN6A1kDPgM4A0QDTANDAy8DJAMhAxUC9QLRArwCtwKuApICdAJqAnACXAIEAW0A1AB4AHAAmQC5ALAAfgA5/+b/e/7z/l/94P2O/WL9QP0R/NL8jvxS/CD7+fvg+9r75fv2/AH8Afv5+/L77fvq++n77vv3/AD8AfwA/Ar8J/xO/Gv8dPxy/HX8i/y2/PH9M/1x/aL9w/3a/fD+Cv4o/kr+cP6b/sb+6/8M/yz/Uf93/5f/rP+1/7b/uv/M//EAIQBHAFIAQgAqAB8ALABFAFoAZgBuAHcAgwCLAJEAmQCrAMYA3wDxAP0BDAEhATkBUQFoAYABmwG2Ac8B5gH8AhQCKwJAAlcCcAKMAqYCvALQAuYC/AMQAyIDNANKA2QDfQOSA6QDtgPJA94D9AQIBB0ENARNBGgEgQSZBK8ExgTeBPcFDQUfBTAFQwVZBW8FgQWLBZAFkwWUBZMFjwWMBY0FkQWWBZkFnAWhBacFrQW1Bb4FxwXQBdkF5QXwBfsGAgYIBhIGIAYvBj0GTAZfBnEGgQaOBp0GsQbHBtkG5AbxBwYHIwdCB14HeAeUB7AHygffB/EIBAgZCDsIUghsCIoIqQjICOkJEAk9CWgJiwmgCaYJmwmACVoJNQkhCSAJLQk7CUYJUwlmCX4JkAmWCZIJjgmNCZEJlgmdCaYJswnDCdUJ5wn5CgYKDQoPCg8KEQoZCicKOwpVCnYKogrXCwsLLQs7C0sLeQvODCsMZAxmDEkMNQw+DFsMdgyDDH8MbQxSDDsMNgxJDGcMfAx7DGUMQwwiDAoL+wvvC+IL3QvvDBsMSQxeDFkMWAx4DLQM4wzhDLEMbww4DA8L7gvXC9ML4wv5DAYMCwwPDBkMIgwcDAcL+AwUDG8M9g1tDZINUQzDDBoLdwruCowKWQpJCjUJ/wm1CYIJeAlyCTQIowfuB1sHDwb/BwUHBwcBBvMG2wa5BpgGgQZxBlkGJAXIBVEE3ASEBFQEQAQxBBwEAgPsA90D0QPJA8cD0gPoBAQEHgQxBD4ERgRMBE8ETAQ8BB0D9QPRA8cD5wQwBI0E4AUVBS4FOgVCBUMFOAUoBR8FJgU3BUkFUwVXBVgFUQU7BREE0wSHBDgD8gO8A5QDdwNjA1gDWQNdA14DWwNcA2kDgAOXA6QDpwOmA6cDqQOqA6cDoAOXA4wDfgNrA1UDQAMyAywDLAMtAzEDOANDA00DVANhA3oDnAO3A7wDrAOeA6cDxwPpA/UD6QPQA7oDrAOoA7ADxQPcA+UD0QOjA2wDQQMuAzEDOAMwAxEC4wK2ApMCeAJcAj8CKAIXAgYB7AHJAaYBhwFrAVABMwEZAQEA6QDMAKoAhgBiAD8AHv///+H/wf+h/4H/YP88/xX+7P7B/pP+YP4q/fX9xf2X/Wr9PP0Q/OX8tvyA/EX8DPvX+6T7c/tH+yD6/frW+qf6cPo0+ff5wvmX+Xj5XPk8+RX46Pi5+Ir4XPgw+Aj35vfH96f3gfdX9y/3DPbt9s/2rPaH9l/2MvX99cf1m/V79Vn1I/Tb9J/0hvSE9HH0L/PP83nzSPMx8xvy/fLh8tDyxfK38qbymPKP8oHybfJZ8kryPvIq8g3x8fHa8cLxn/F38VjxS/FQ8WjxmPHd8hryKfH58Z3xPfD28NLwyfDR8Nvw3/DZ8NXw3PDr8PzxDPEi8TvxR/E98STxEfEL8Qbw9PDd8NXw3vDn8OHwzfC98Lvwv/C+8LfwrvCn8KDwlvCM8IPwgvCO8KnwzPDu8QzxK/FN8W7xjfGy8eryOvKW8vrzafPo9G306fVf9dv2Wva+9uv27Pbs9wv3PPdd92P3Yvdv94j3ofe699n3/fgZ+CP4Kfg4+FD4Y/ho+Gn4c/iP+Ln46vka+UH5Xvl4+Zr5xPnt+gv6HPol+if6H/oO+gD5/voI+hb6Jvo6+lL6ZPpo+mP6YPpl+m36cfpw+nH6fPqU+rf65vsg+1/7nvvU/AH8Lfxo/L79M/27/kf+zv9M/70AFwBVAIEArgDpAS4BaQGSAbIB2wIVAlkCmQLNAvcDHwNHA20DkwPAA/UEMARpBJoEwwTrBRUFQwV4BbIF8wY5BoAGyAcRB1gHmgfSCAEIKQhQCIAIuQj2CTEJaQmjCd8KGApGCmgKhQqnCs0K9AsdC08LiwvIC/gMGgwzDEkMXgx3DJwM0Q0MDT8NaA2SDcoOEQ5hDrIO/A8zD0gPPQ8nDxwPGQ8ADrEOIw1wDNAMhgy5DUsN2g4BDawNJwzYDOENGw1NDWkNgg2fDbINtw3DDekOHA49DkAOQA5YDokOvQ7oDwsPLQ9HD1UPXw92D5YPrw+xD54Phg90D2kPYA9ZD1kPZw+GD7QP5RAPEDQQZRCvEQ8RbhG0EdYR2xHWEdkR6RH+Eg0SGRIuElEScRJ/En4SfxKNEpoSlhKHEoQSmhK3EsQSuhKrEqQSoxKeEpgSlxKaEpgSjhKBEncSchJtEmcSXxJXElISUhJWEloSVhJLEkESQxJbEosSyRL2EvQSxxKaEpISlxJeEbcQxA/HDsMNeQvOCiMJKwlHCiwLKQvCC/oMHQxiDL8NCw0gDO0MgQwGC6wLgwtyC08LDQq9CnQKNQnxCacJXgkcCOAIpghtCDYIAAfGB4sHUgcdBusGugaMBlwGIwXiBaYFfgVlBUwFJQT2BMoEpQSBBFoEMAQGA90DtAOQA3ADTwMqAwMC4QLDAqYChAJfAjsCGAHyAcwBrAGTAXcBUAElAQUA8QDbALoAkwB3AGcAVwA+ACEADQAD//v/7//h/9T/w/+r/5D/ef9s/2j/af9v/3n/gP9//3f/av9c/0r/Mv8V/vb+1f65/qP+k/6C/m3+W/5T/lP+Uf5B/in+Fv4O/gn9+/3l/dD9wv27/bj9uP21/a39nv2S/Y79jP2A/WD9N/0W/QL89fzj/Mb8oPx1/En8IvwD++z71/vB+6v7l/uH+3X7YvtR+0P7Nfsl+xT7BPr3+uv64PrY+tP6z/rI+sD6uvq4+rb6tPqx+rD6tPq5+sD6yfrU+t364vrk+uj67/r4+wH7B/sL+xD7Fvsg+y37PPtJ+1L7Wfth+2v7d/uC+4z7lfud+6T7q/uz+777yfvT+9z75fvv+/r8BfwP/Bf8Gvwb/B78I/wr/DP8Ovw//EP8R/xK/E38UfxV/Fz8ZPxt/Hb8fvyG/I/8m/yn/K/8tPy7/Mf82Pzl/Or86fzu/P79E/0i/SX9I/0l/S79Of1D/U39WP1l/W/9dv18/YX9j/2V/Zf9mP2d/ab9rf2z/br9wv3L/dH91v3a/eD95v3s/fT9/v4K/hP+GP4e/in+Nv5A/kT+Rf5K/lf+Z/50/nz+gf6I/pH+mv6j/q3+t/7A/sf+zf7V/uD+7f77/wn/FP8e/yf/Mf87/0j/Vf9i/3D/fv+N/53/rv/A/9D/3f/p//cABwAZACsAPwBTAGcAegCIAJQAnACiAKYArAC3AMUA0gDcAOIA6ADvAPgBAwEPARcBFwESARUBKQFGAVsBXwFdAWUBeQGLAY8BjgGZAbUB2AH1AgoCHgI2Ak4CZAJ5ApECrQLKAuYDAwMkA0wDegOqA9UD+AQWBDgEXwSDBKAEuQTWBPkFHgVDBW0FoAXTBfwGHAZCBnEGnQa0BrkGswaMBh8FcgTpBRkGRggXCdQLAQu0DFoNNg4gDsEO7g7ADmIN6w1pDPYMqgx3DCgLpQsUCsAKygsLCz0LOgsLCskKfQonCdEJkAluCWAJVglMCUcJRQk5CRoI6wi3CIUIVAgnB/4H2Qe0B4oHXgc1BxAG6ga9Bo8GZgZGBiQF8QWqBVsFEATLBIUEPgQCA9kDuwOZA28DUANOA2EDawNaAzsDKAMlAx8DAwLcAsACsgKkAo0CeAJxAmkCMwG3ARMAkQBoAJIA0QDoAMEAdAAf/8n/Yv7j/lj93v2I/VL9J/z5/Mb8lfxs/En8KPwN+/78AfwR/CP8K/wp/CD8GPwV/Bf8Hfwk/Cz8OPxM/Gz8kvyy/L/8t/yj/JP8lvy2/PT9RP2R/cj95P3z/gP+Gv42/lX+ev6q/t7/Df8x/0//c/+e/8r/6P/z//L/9wARAEQAgACrALIAlwBzAF8AZAB1AIIAhQCEAIkAlQChAKkAsgDCANkA8QEEARMBJgE+AVkBcgGKAaMBvQHWAe0CAgIYAjECSQJeAnQCjQKqAsQC2QLrAv8DFQMsAz8DUANkA3sDlAOqA7wDzQPfA/QECQQeBDMESQRhBHsElQStBMQE3AT2BRAFKAU7BUkFVgVoBXwFjgWZBZsFlwWUBZEFjwWOBY8FkwWaBaEFqAWtBbMFugXCBcoF0QXXBd4F6AXzBfsF/wYEBgwGGgYqBjgGRgZWBmgGegaMBqEGuAbOBt0G6gb7BxUHMgdLB2AHdweXB7sH2gfwCAEIEgglCEQIWAhxCI8IsAjRCPYJIAlPCXwJmwmiCY8JaQk/CSAJFAkXCSIJLAk2CUQJVwlpCXYJfQmBCYQJhwmKCY4JlAmdCakJtwnHCdsJ7gn/CgoKDwoSChUKHAonCjgKTApgCnoKnwrSCwcLKws6C0kLdQvIDCYMZAxsDE8MMAwoDDgMVAxwDIIMhgx/DHQMcAx1DH4Mggx7DGoMUww9DCsMGwwGC+oL1QvbDAUMPQxlDHEMdAyJDK8Mxwy2DIEMRAwYDAAL9AvwC/UMAwwQDBYMFwweDC0MOAwyDBwMDwwwDJYNKw23DfgNyw1BDIULxwsqCsIKjAp0ClgKKQn1CdEJugmNCSYIigflB2gHJQcPBw4HEgcVBw4G+wbfBscGuwazBpkGWQXuBW0E+ASpBIIEcARgBE4EPQQyBCcEGAQJBAQEDQQiBDkETgRfBGwEdQR7BH0EeQRoBEsEKgQZBCgEXQStBQAFPgVdBWcFbgV6BYEFfAVvBWgFcQWEBZMFlgWQBYYFdwVgBT0FCwTLBIMEPQQHA+EDyAO1A6kDpgOpA60DsQO8A9ID7gQEBAsECgQHBAcEBQQAA/cD7QPhA9EDvwOsA5gDhgN5A3YDewOBA4MDhgORA6YDuQPGA9YD8QQTBCQEFQP1A+ID7gQLBBwEEwP9A+4D7wP5BAMEBwQFA/cD2AOsA38DXwNRA04DSAM1AxQC7QLNArYCowKOAncCYwJSAjsCGwH4AdkBwgGqAYsBaQFKATEBGAD7ANgAswCRAHIAVAA1ABT/8v/S/7X/mf94/1L/K/8F/t3+rP50/j7+Dv3j/bn9jf1f/TD8/PzD/If8T/wd++/7xfud+3f7T/sf+ub6qfps+jX6B/nk+cj5rPmI+Vr5KPj1+Mb4mvhx+Ez4K/gN9+73zPem9373V/cw9w327fbQ9rP2j/Zf9in1+PXQ9an1cPUl9N/0uPSx9Kf0ePQl88/zk/Ny81fzNfMQ8vTy5PLb8tby1vLV8svyt/Kh8pPyh/Jz8lTyMPIQ8fHxzvGo8Ynxd/F38Yvxt/Hz8iTyLPH+8bDxYvEn8QTw8/Dw8PHw7vDl8ODw5vDz8P7xB/EU8SXxMPEo8RfxC/EK8Qbw8vDZ8Mzw0fDZ8NfwzPDF8MXwxfC+8LXwr/Cp8KDwk/CI8IHwf/CD8JLwqvDJ8OrxD/E28VnxdfGR8brx9PI68ory7fNo8/H0d/T09Wz13fYw9lX2YPZ59rH28vcV9xn3Gvcv91H3bveD96L3zvf1+Aj4C/gR+CP4Nfg6+Df4N/hF+GH4i/i/+PT5IPlB+V35fvmg+bv5y/nQ+c75yfnC+cH5yfnX+eP56/nv+fP59fnx+ev56vny+f76CPoQ+hr6LfpM+nj6sPr0+zr7efut+9z8Ffxn/Nj9Xv3p/mn+2v8//5b/3gAWAEkAhADLARMBTQF1AZQBtgHkAhwCWQKXAtIDBAMsA04DdAOlA94EFwRJBHIEmQTDBPIFJgVfBZ0F3gYjBmoGtAb+B0EHeQenB84H9ggjCFsImgjXCQoJNQlhCZcJ0goFCigKRwpqCpQKvgrlCxULUguWC80L8AwCDA8MHww3DFwMkQzPDQYNMQ1WDYQNwQ4KDlkOpA7eDvYO7g7YDskOvw6gDkwNvA0PDHsMOwxoDOMNWg1+DUMM4gymDKkMzwz0DRINNg1cDXcNiQ2oDd4OFQ4qDhwODw4jDlQOhw6sDssO7w8TDysPOQ9FD1gPZw9oD1oPRQ8xDyQPHA8bDyQPOQ9ZD4UPtQ/jEAoQNRB0ENURTRG7EfcR8xHIEaMRpBHDEeMR+BIMEioSSRJZElkSWhJpEnUSbhJZElYSchKYEqgSmRJ/EnESbxJrEmMSXhJiEmgSaRJkEl4SWxJYElESSBJAEjwSPRJAEkASPRI2EjASNxJUEogSxBLlEtQSohJ9EnwSdxIjEWEQWg9HDiUMwAsdCa4JCwlqCmQLVQvaC/8MCgwuDHIMvwzrDNAMagvkC4ALVgtKCysK7AqiCmAKIQnYCYcJPgkECNAImghjCC8H+gfBB4QHSwcXBuUGswaDBlQGHwXhBaUFfAVkBUsFJATwBL8ElwR0BE8EJwP/A9kDsgONA2sDSQMkAvwC1wK3ApkCeAJTAi4CCgHmAcEBoAGEAWYBQgEeAQMA8QDcALwAlgB6AGoAXABFACkAEAAA//T/6P/a/8r/uf+j/4v/d/9q/2P/Y/9o/2//cv9w/2v/ZP9a/0z/Of8h/wT+4v6//qD+i/55/mf+VP5H/kP+Pv4w/h3+D/4L/gv+Bf31/d/9x/2y/aT9nP2V/Yn9dv1m/WD9Y/1g/U/9NP0c/Q79Bvz6/OL8vvyP/F38MvwT+/376PvS+7z7qfuW+4D7aPtU+0X7OPso+xf7Bvr4+uz64PrW+tH6zvrJ+sL6u/q5+rj6tvq0+rX6t/q6+r76xPrO+tj63vri+ub67Prz+vn7APsG+wz7EvsZ+yX7NftD+037U/ta+2X7cft9+4j7lPue+6X7q/uz+777yvvU+9v74fvp+/L7+vwE/Az8E/wY/Br8Hvwj/Cr8L/wy/Db8O/xA/EX8SfxN/FL8Wvxj/Gz8dPx7/IL8jPyX/J/8o/yn/LD8vvzL/NH80vzX/OX8+P0F/Qj9B/0L/Rb9I/0u/Tf9Qv1P/Vn9Xv1i/Wr9df19/YD9gv2H/ZH9m/2i/af9rf21/bz9wP3E/cn9zv3T/dn95P3x/fv+Av4H/g/+Gf4i/if+LP42/kT+Uv5c/mT+a/50/n3+hf6O/pf+o/6t/rb+vv7F/s3+1v7i/u/+/P8I/xH/HP8p/zf/RP9P/1r/Z/94/4v/n/+0/8X/0//e/+v//AAPACIANgBLAGAAcgB/AIgAjwCVAJkAnQCkAK8AvQDHAM0AzwDTAN0A7AD8AQUBBAD/AQQBGwE4AUsBTgFNAVgBbQGAAYgBjwGiAcIB5AH/AhQCKgI/AlECYQJ1ApECrwLLAuUDAgMkA0kDcwOiA9IEAAQpBFEEdASRBKQEtgTRBPcFIQVJBXQFpQXUBfkGFwY7BmsGlgarBqsGmgZhBeMFNwTUBUkGugiuCmgLhAwxDNgNpQ5jDs4O1A6PDhgNfgzgDHQMVgxdDDcLwAsiCq4KiwqdCrQKuAqqCooKUgoECbgJiAl0CWsJXAlKCT8JNgkiCPwIygiYCGcINwgGB9gHrweLB2cHQwcgBvwG1AanBnoGUwYzBhIF5AWmBV8FFgTQBIsESwQZA/cD2QOzA4QDZANkA3gDgQNtA0oDMgMrAyMDBQLWAqoCkAKFAoECgAJ6AlMB7wFWAMAAcgCGANIBCQD7AKsAQP/c/4H/Iv60/kD92P2G/Ur9Gvzw/Mz8rfyV/H/8ZvxO/Dv8N/xD/FX8X/xa/Er8O/w1/Df8Ovw+/Ej8YvyM/L385fz4/PX84/zL/Lf8svzH/P39S/2a/dX99f4H/hv+Nf5S/m/+kv7C/vj/Kv9Q/2//lP/E//UAGgAqACwAMwBRAIYAwwDuAPUA3AC5AKMAogCqAK8AqQCiAKMArgC9AMgA0QDcAO0BAAETASUBPAFYAXQBjwGnAcAB2QHxAgcCHQI1Ak8CaAJ+ApQCrALHAt8C8wMFAxkDMANGA1kDaQN7A5EDqwPCA9UD6AP8BBMEKgRBBFYEawSBBJgErgTDBNkE8AUGBR4FNAVHBVQFYQVyBYgFnAWnBaYFngWYBZcFmAWZBZsFoAWoBbIFuQW9BcEFxQXLBdEF1QXZBd4F5wXvBfYF+wYBBgwGGwYrBjkGRgZTBmQGdwaMBqQGvQbTBuUG9wcNBycHPwdQB14HdgeZB8AH4Af3CAgIGwgvCE0IYAh3CJMItAjbCQgJOglqCZEJpAmaCXMJOQkHCPII/wkcCTIJOQk+CUoJXglsCW4JbAluCXkJhAmKCY4JlgmjCbIJwAnQCeQJ+AoHCg4KEAoSChgKIwozCkYKWAppCnsKmwrKCv0LIgsyCz4LZQuyDBAMVwxuDFoMNwwfDB8MNQxWDHcMkQyfDKcMrQyxDLEMqwyhDJYMjAx/DG8MWQw3DAwL5wvfC/8MOgxuDIkMkgycDKoMqgyLDFUMIwwJDAgMEAwZDCEMKwwyDDMMMgw3DEIMSwxFDDQMMgxhDNANag38Dk4OPw3TDSgMaQvAC0kLAQrSCqQKcQpFCiIJ9AmeCRcIegfuB4oHTQcuByQHKAcvBy4HIQcTBwwHDAcEBt8GkQYbBZYFJATcBLkEpwSUBIEEdARvBGYEVQRFBEIETARcBGwEegSKBJgEoQSlBKcEpgSbBIQEbwRuBJEE1QUqBXUFpAWzBbEFsgW/Bc4F0QXJBcEFxAXNBdEFyQW8Ba8FnwWIBWcFOgUBBMMEiARZBDkEIgQMA/oD8wP3BAAECgQbBDQETwRjBGsEbQRwBG8EaARaBEwEQAQzBCAECwP5A+oD2QPJA8QDzAPXA9oD2gPmBAMEIQQyBDkESgRnBHkEZwQ5BBUEGQQ6BFQEUQQ8BC8ENAQ/BD4ELAQPA+4DzAOsA5IDfwNwA14DSQMwAxgDBAL1AugC2ALDAqwClgKCAmkCSgIqAhAB+wHiAcABmgF5AWABRwEpAQUA4QDBAKUAiQBqAEcAJQAH/+z/0P+w/43/av9I/yL+9P6//ov+XP4z/gn92/2q/Xf9Qf0H/Mz8lvxn/Dz8Ffvv+8f7l/te+x/64vqs+n76V/o3+hn59/nM+Zj5Y/ky+Qb43fi2+JP4dPhW+Df4Fffw98j3nPdw90n3LPcY9wj28vbP9p/2a/Y59gf1x/V19SX08PTg9Nv0v/R/9C/z7vPE86PzevNK8yLzDfMN8xjzIvMg8w3y7vLS8sLyuPKm8obyYPI+8iDyAfHc8bjxm/GQ8Z3xxPH78iLyIfHz8bDxc/FH8SfxDvD98PTw7vDp8Onw8PD58P3w/fEC8Q3xFPEP8QXxAfEF8QLw8fDZ8MvwyvDL8MfwxPDH8Mvwx/C78LDwqvCl8Jzwj/CH8IXwg/CB8ITwkvCq8Mnw7PET8TrxW/F48Zrxw/Hy8inydPLf82Xz9/SF9Qb1bfWn9bb1vPXo9kL2ovbY9uH24/b/9y33UPdk93r3offL9+L35vfo9/P4APgF+AP4A/gL+Bn4MfhX+I34xvjz+RH5KPk/+Vb5Zvls+W35cvl/+ZT5rPm/+cb5wPmz+ab5nfmY+ZT5lPmY+Z/5qPm0+cj55foN+kD6fvrE+wn7Rft6+7P7//xo/Or9c/30/mT+xP8X/1//nf/XABcAYACtAPEBKAFVAX4BpQHJAe4CGwJTApECyQL1Ax0DTQOKA8wEBgQ0BFsEgQSsBNwFEgVQBZMF1gYYBl0GpwbxBzEHXQd9B50HyAgACEIIhQjACOoJCgksCVsJlAnICfEKFQo/CmwKkgqzCtsLGAtgC50LwQvPC9cL4wv3DBkMTQyQDNMNCg02DWINlw3XDh0OYQ6VDqsOoQ6JDnoOcw5VDf8Nagy9DDUMAgwrDIkM2wz0DNQMoQyBDH8MjQykDMsNAg03DVoNdA2cDdcOBw4NDfAN3A3xDiYOVw51Do4Osw7gDwQPFw8dDyEPJg8mDxwPCw71DuEO0w7TDuEO+g8dD0wPhA+6D+UQBRAzEI0RFxGpEgISARG9EXkRaBGIEbMR0BHkEf4SHRIxEjcSPRJMElYSShIyEi0SShJzEoUSdRJWEkISOxI0EisSJxIvEjoSQBI/EjsSORI3EjISKxImEiQSJRIlEiMSIhIhEiUSNBJZEo8SwRLOEq0SfRJmEmcSSBHJEOMPzg61DYIMDwp9CVEJBgmgCqILeQvpDA0MGAwqDEwMegycDIoMMgu4C1kLMQsiCwAKwwqBCkcKCgm7CWUJHgjrCL8IjghYCCUH8ge6B30HRAcRBuAGrQZ9BlEGIAXlBakFfgVmBVAFKQTzBL8ElQRxBEoEIgP7A9YDrwOGA2ADPwMdAvYCzgKqAosCaQJEAh8B/QHeAb4BnQF8AVoBOAEaAQMA8QDbALwAmQB/AHAAYgBOADQAGgAG//f/5//U/8D/rf+a/4n/eP9q/1//XP9f/2P/Zf9i/2H/Yf9f/1X/Rf8w/xf+9f7M/qP+g/5t/lr+SP45/jD+KP4d/g7+Av38/fj98v3n/df9xf2y/aL9l/2P/YL9bf1W/Uf9Qf08/TL9I/0W/Q79Cf0A/O38zPyf/G38Q/wm/BH7/Pvl+9H7wPuu+5X7ePtf+037Pvst+xn7Cfr9+vH65PrZ+tL6z/rL+sX6v/q8+rv6uvq5+rn6ufq5+rn6vfrG+tD62Prd+uH65/rt+vT6/vsK+xT7Gvsf+yn7N/tF+077U/tY+2H7bPt3+4T7kfue+6f7rvu1+7/7yvvS+9f72/vh++j77/v3/AD8CfwP/BL8FfwY/B38IPwi/Cb8LPw0/Dv8QfxH/E38VPxb/GP8a/xx/Hf8fvyH/I/8lfyZ/J/8qfy0/Lr8vvzE/ND84Pzs/PH88vz4/QP9D/0Y/SD9LP06/UX9Sv1M/VH9Wv1i/Wj9bP1z/Xz9hv2M/ZL9mv2i/an9rf2z/br9wP3E/cf9zf3X/eL96v3w/ff9//4H/g3+Fv4i/jH+Pv5I/lH+W/5l/m3+dP58/ob+kv6c/qX+rf60/rv+wv7M/tn+5/70/v7/Cf8X/yb/M/89/0j/Vv9m/3j/jP+i/7b/x//U/+P/9AAHABgAKgA+AFMAZQBwAHYAfACDAIkAjQCTAJwApwCuALAAsQC2AMEA0QDfAOgA6gDuAPsBEwErATcBOAE8AUwBYwF3AYUBlgGyAdMB8QIHAh0CNQJJAlUCXwJxAo4CrwLPAu4DEAMzA1MDdAOeA9AEBgQ1BFsEeQSPBKAEsgTQBPkFJQVQBX4FrgXbBfwGFgY4BmQGiQaYBpEGdAYsBaQFBwTSBYIHIQklCt8MBQzNDYUONw6tDsYOlA46DbwNGAx2DB4MKgxaDEULvgr5ClQKAAnwCgMKIgo+Cj8KFgnRCZYJggmKCY4JeglYCTcJHAj9CNYIqAh6CEoIFQffB60HhQdmB0oHLAcNBuoGxQabBnAGRwYhBfsF0AWcBWEFIgTgBKAEZQQ2BBID8QPIA5wDfwN9A4sDkQN+A1wDQQMyAx4C9QK5AoECYAJcAm0CgAJ2AjIBrgERAKAAiwDIARQBKgDwAH8AAP+Q/y7+0/55/iL90f2I/Ur9Gfz2/N78zfy+/K78nPyI/Hb8bvxz/ID8hvx8/Gb8U/xM/E38TvxM/FP8cPyg/NT8+P0F/QL8+vzy/Or85vzx/RX9Uf2W/dP+Af4k/kT+Y/6A/p3+wP7t/x7/TP9w/5H/t//jAA4ALAA6AD8ASwBpAJkAzwD2AQQA+QDmANoA2QDfAOAA2QDRAM8A1gDhAOsA8gD7AQkBGgEsAT8BVAFuAYoBpgG/AdcB7gIGAh8COQJTAm4CiAKfArUCzQLlAvwDEAMjAzkDTwNkA3QDhAOXA64DyAPgA/QECAQeBDYETwRmBHwEkQSlBLgEyQTaBOwFAAUTBScFOgVLBVkFZgV3BY0FowWuBa4FqAWlBagFrgWwBbEFtQW9BcUFyAXHBccFyAXMBdAF0gXWBdsF4wXrBfIF+gYEBhEGIQYwBj0GSQZWBmYGeQaPBqgGwQbZBu8HBAcaBy8HQAdOB2AHeQeaB7sH2AfwCAgIIQg4CFQIbAiECJwIuAjfCRMJSgl6CZgJoAmOCWAJIgjvCOEI+wkmCUEJRwlGCU8JYQlsCWoJZQlqCXoJigmSCZcJnwmtCb0JzAndCfEKBQoRChUKFAoWCh0KKAo3CkkKWQpoCngKkwq9Cu4LEwsmCzMLVAuaC/cMRwxvDGcMRQwhDA8MFQwuDFEMdAyUDLEMzQzkDPEM8wzvDOkM4QzVDMIMpQx8DEsMHgwKDBsMSQx6DJsMqQyvDLAMowyADFAMKwwhDC0MPgxGDEoMUgxgDGsMbgxsDGoMZwxgDFkMagytDSUNtg41Dn8Ogw48DbMNBAxWC88LcwsxCvMKuQqJClsKFgmjCQ8IfQgLB7sHhAdgB1IHVgdcB1kHUgdRB1oHYQdSBx8GxgZNBcoFWwUVBPME4ATLBLYEpwSfBJUEhwR+BIEEjgSZBKAEqgS6BMkE0ATTBNoE5ATlBNgEygTTBQEFTQWjBeoGEgYcBhcGFQYhBjAGNQYsBiAGGQYWBg4GAAXyBecF2QW9BZQFZAUyBQME2AS1BJkEfwRjBEsEQQRFBFIEYQRzBIwEpwS8BMoE0wTZBNgEygS2BKYEngSSBH0EZgRWBEkENwQhBBYEHgQvBDYENgRBBGIEiwSkBKoEswTHBNMEugSFBF0EYgSJBKgEowSGBG8EagRpBFkENgQNA+gDzAO7A7ADpQOTA3kDXANGAzgDMAMoAxsDCALxAtgCwgKsApQCeAJbAkMCKwIQAe4BygGsAZQBegFaATYBEwD2ANoAvACbAHoAWgA8AB8AAf/i/8P/pP+F/2L/N/8I/tn+rf6B/lP+I/3w/b39h/1P/Rf84/y0/In8Yfw5/Av71PuW+1j7I/r3+tH6rvqM+mj6PvoL+dP5n/lx+Uj5Ivj++N34v/ig+H34V/gv+AT31vep94P3aPda91T3Tfc69xb24/aq9m32KPXW9YL1QvUm9R/1DPTb9JX0VPQl8/7zz/OY82vzV/Ne83HzevNu80zzIfL/8u3y4fLO8q/yjPJu8lTyN/IR8ebxv/Go8avxyfH28hLyCPHZ8Z7xbfFN8THxFfD88Ozw5/Dp8O/w9/D88Prw9fD18Prw+/D18O3w7vD18PXw6fDa8NLwz/DI8L3wuvDC8MnwxPC08KjwpfCj8JjwivCD8IPwg/B+8H3wh/Ca8LLwzfDw8RnxQvFn8Ynxq/HM8e3yG/Jp8uDzdvQZ9LD1HPVH9Tn1J/VN9bn2N/aK9qL2qvbK9wD3LPdA90z3ZveJ96T3r/e19773xffF98P3yPfS99j33Pft+Bj4VviP+LT4yPjZ+O74/vkE+Qn5GPk7+Wv5l/mw+bD5nvmF+XP5bPlv+XT5dflw+Wr5Z/lw+Yb5qfnX+g36TPqO+s77CPtE+4378Pxq/PH9cf3i/kP+mv7m/yf/YP+c/+MAMwB/ALwA7wEjAV0BkwG4AdEB6wIVAksCgQKxAuIDHwNoA7ID8QQjBE8EeASgBMoE/AU7BYUFzQYQBlMGnQbpBygHTQdjB3wHqAfmCCoIaAiaCL4I2wj8CScJWgmNCboJ6AoaCkoKbgqKCq4K6AsuC2cLhwuTC50LrAvBC+EMFAxaDKgM6w0fDU4Ngg3ADgEOPA5kDm4OWw5BDjcOOA4fDcUNJgx0C/QLzAv0DDkMbQx9DHUMZwxfDFkMWgxwDKYM7Q0oDUgNXg2FDbsN3w3WDbENnw28DfYOKQ5EDlgOdw6kDswO4w7rDusO6Q7lDtoOyA6wDpcOiA6IDpgOsw7YDwsPTA+PD78P2A/3EEQQyxFoEdQR4BGfEVYRPRFYEYIRnhGwEccR5RH9EgwSGhIuEjoSMRIaEhISKBJKElkSShIuEhgSDhIGEf8SABIJEhMSFRIREg4SDhIOEgsSCBIJEg4SERIOEgoSBxILEhcSMxJiEpkSuxKwEoISWBJNEkYR/RFFEDoPHw4JDNELWgnmCQQJFAnlCuMLlgvpDAoMHAwlDCoMNwxHDDgL8AuHCzQLDwr8CtYKlwpZCiQJ6wmeCUoJBgjYCK4IfQhJCBkH6ge1B3wHRAcSBt0GpwZ1BksGIAXpBa8FhQVvBVsFNQT/BMgEnQR3BE4EIwP7A9YDrAN+A1MDMgMUAvECyQKiAoACXgI5AhMB9AHbAcEBoQF6AVMBMgEZAQQA8ADYALsAnwCIAHgAaQBUADsAIgAO//7/7P/V/7z/pv+W/4r/fv9w/2H/Wf9Z/1r/WP9W/1j/Yf9n/2P/Vf9C/yv/Df7j/rT+iv5r/lT+P/4u/iL+GP4N/gD98v3n/dz90P3F/bv9sf2k/Zf9jf2H/X79bv1Y/UH9L/0h/Rf9D/0I/QL8+/zv/Nz8v/yZ/HH8Uvw9/Cr8Evv5++T71vvF+637jvty+1/7Tvs8+yn7GvsP+wT69vrp+uD62/rX+tD6yvrF+sL6wPq/+r76vfq7+rr6vvrF+s760/rY+t365Prs+vb7A/sS+yD7KPss+zT7QPtN+1T7V/tZ+1/7Z/tv+3r7iPuW+6H7qfux+7r7xPvL+8770fvV+9z74vvo+/D7+fv//AP8BvwJ/A38D/wR/Bb8Hvwn/C/8N/xB/Er8UfxW/Fr8X/xk/Gn8bvx1/H78hvyN/JP8m/yj/Kn8rfyy/Lz8yfzV/N384/zr/PX8//0F/Qv9Ff0i/S79Nv05/T39RP1M/VL9WP1e/Wb9bf10/Xz9hv2P/Zb9m/2h/av9s/23/bj9u/3C/cz91f3e/ef98P34/f/+CP4V/iT+Mf47/kP+Tf5Y/mH+aP5w/nv+h/6Q/pb+nv6n/q/+t/6//sv+2f7k/uz+9f8B/xD/HP8n/zP/Qv9T/2T/d/+N/6P/t//I/9n/7QABABMAIwA0AEYAVwBgAGYAbABzAHwAgwCKAJEAlgCXAJUAlQCcAKkAtwDAAMUAzQDbAPIBCQEXARoBGwEkAToBUgFlAXYBjwGyAdUB7wICAhcCMAJGAlQCYQJ2ApQCtwLbAwEDKANMA2cDgQOlA9UEBwQwBEwEYgR4BI8EqwTQBPsFKQVWBYQFtQXgBgAGGgY7BmEGfQaCBnIGSQXzBWQE1QTFBaAHVglbCxgMWA1JDhQOpg7UDqUOTw3uDW4MwwwiC98MDwxYDDwLkgqgCdUJbAleCYYJwwn1CgAJ2QmeCX4JjgmzCcEJpQltCTIJAQjZCLUIkAhnCDMH9we7B4oHZwdMBzMHFwb5BtkGuAaVBmwGPwYQBeIFuAWMBV0FKATwBLgEhARWBC0EBwPeA7gDnAOSA5QDkgOBA2UDRwMqAwMCywKHAksCKAImAj0CVAJGAfoBegD7ALoAzAEOAT0BKQDTAFf/1P9b/u7+kf5H/gn9zP2K/Uv9Hf0E/Pn88Pzi/ND8vvys/Jz8kvyR/Jb8lPyF/Gv8WPxS/Fb8WPxU/Fb8a/yT/L/84Pzz/QD9D/0c/SP9Jf0p/T39Zv2h/eP+JP5a/oH+nf62/tX+//8u/1n/ev+T/67/z//zABEAJAAuADcASQBpAJMAvgDfAPEA9wD5AP0BBQEMARABDQEJAQcBCgEPARIBFwEgAS8BQgFTAWMBcgGFAZ8BvAHXAfACBwIgAjwCWgJ3ApICqgLBAtkC8QMIAx4DMwNIA14DcgOFA5UDpgO7A9QD7QQDBBcEKQQ9BFQEawSBBJcErAS/BM8E3QTsBP0FEAUjBTcFSgVbBWoFdwWHBZsFrQW3BbcFtQW4BcAFxgXGBcMFxQXKBc4FzAXHBcUFyAXMBc8F0QXUBdoF4QXpBfEF/AYKBhgGJAYwBjsGSQZYBmkGfAaSBqwGxgbgBvgHDgcgBzAHPwdRB2gHggeaB7AHyAflCAQIIwg9CFUIegicCLIIwgjcCQcJOQlkCYAJjAmGCWYJLgj4COEI9gkfCT0JRAlCCUkJWAljCWIJYQlrCX8JkQmaCZ8Jqgm5CckJ2AnoCf0KEAoaChsKGgodCiMKKwo1CkEKUApfCm8KhgqsCtsLBQsfCzALTwuPC+gMPgxxDHYMVgwsDAsMAAwLDCUMSQxyDJ8Mzgz+DSYNQA1KDUQNNg0hDQcM6AzCDJgMcQxYDFcMbQyMDKgMuQzCDMQMuAyaDHUMWQxWDGIMagxmDGIMcgyXDLwMzAzDDK0MmAyKDI4MtQ0MDYUN/Q5TDnsOeA5IDeANRAyXDAcLpgtkCycK6wq0CnkKIgmiCQ8IjggxB/EHwQeiB5gHngeeB5MHiQePB58HpAeKB04G8waCBgYFlwVNBSkFFwUEBO4E2wTOBMMEugS5BMME0ATWBNgE4QTyBQEFBwUNBR4FNwVFBT8FMwU/BXIFwwYZBl4GhQaRBo4GjQaWBqAGngaOBngGaAZcBk8GPgYvBiMGDwXrBboFiQViBUQFKgUSBPgE2gS5BJ4EkwSXBKQEsgTEBN0E/AUVBSYFMQU3BTMFIwUQBQUFAgT4BOIEyAS5BK8EnwSHBHgEgASTBJwEmwSjBMcE+AUbBSYFLAU3BTkFGwTkBL4ExQTqBQEE8QTIBKUEkgSABGIEOgQTA/UD4QPVA84DxwO4A6EDiQN6A3IDawNdA0oDNAMfAwkC8wLbAsICpwKLAnECVwI6AhsB/QHiAcgBrAGLAWoBSwEvARAA7wDNAK4AkQByAFAALgAQ//f/3f/A/5z/df9N/yT++P7J/pj+Z/42/gT90P2a/WX9M/0E/NX8p/x5/Ef8DvvQ+5j7bPtJ+yr7B/rf+rT6gvpK+hD53Pmx+Yv5Z/lF+Sf5Cvjo+MD4lPhm+Dr4Dvfl98L3qfeb95f3mfeV9373UfcV9tX2k/ZJ9fn1tPWI9XT1X/U19Pb0tfR/9E70GvPk87nzqPOv87zzvPOl833zUvMz8yLzFPL88tvyuvKg8onyavJD8hfx8PHV8c7x3PH18gPx8/HF8ZDxZ/FN8TbxG/EB8O/w6fDt8PTw+/D98Pvw+PD28PHw5/Da8NXw2/Dj8OLw2fDU8Nfw2PDL8LnwsvC78MXwvvCs8KHwoPCf8JPwgvB48HnwefB18HXwgfCV8Kjwu/DX8QDxL/FZ8X7xovHA8dbx7fIc8nfzAfOr9Fj02/UR9Pn0yvTP9Sr1s/Yj9ln2cPaS9sn2+fcN9xL3H/c791r3c/eF95L3lfeM94T3iPeV95v3lfeV97P37Pgp+FT4bPh/+JP4nvid+Jz4tfjw+Tz5e/mW+Y75cvlW+Un5Tfld+W35c/lp+VX5Q/k/+VD5dPml+d76GvpX+pH6y/sO+2f72fxd/OD9U/21/g3+Yv6v/u7/JP9e/6f/9wA8AG8AmQDPARUBWwGOAawBwwHlAhUCSgJ+ArUC9gM/A4cDygQHBEIEdgSeBL8E5gUhBW4FvAYCBkQGjAbYBxcHOgdLB2EHjgfMCAwIQAhnCIoIrAjRCPoJJQlQCX0JsQnpCh0KRApiCogKvwr+Cy8LSAtTC2ILdwuRC7ML6Qw1DIgMzw0DDTMNbA2wDfQOKA5BDjoOHg4DDfkN+A3XDXEMzAwjC7ULnwvGC/YMEgwYDBsMIAwiDB8MKAxRDJsM5w0WDSMNLg1QDYINnQ2ODWsNYA2EDcIN9w4VDikOQw5mDocOng6rDrAOrQ6iDpAOew5kDlAORw5NDl8OeQ6bDs4PEg9ZD40Ppw/BEAMQexEIEW8RhRFaEScRGREzEVYRbRF7EY8RqxHFEdkR7xIIEhoSGRIMEgYSEhIlEioSGxIDEfAR5BHdEdsR4BHqEe8R6xHkEeMR5xHpEegR6BHuEfgR/hH9EfcR8hH1EggSMBJqEp8SsBKRElwSOxI1EhcRmRCoD3wOWQ1EDAgKmQlUCMkJMAovCyULswvqDAQMFwwYDAsMCAwTDAgLxgtgCwwK5grVCq8KbwotCfgJwgl+CTQI+AjJCJwIaAg1CAoH4QewB3kHRAcQBtcGmgZlBj4GGAXnBbEFiAV0BWMFPwUIBNAEpAR9BFMEJgP8A9YDqwN5A0oDKAMMAu0CxQKdAnsCWQIyAgsB6wHWAcEBogF6AVIBMgEaAQUA7gDWAL0ApwCTAIEAbQBWAD4AJwAUAAP/8P/Z/7//qP+a/5L/if97/2r/Xf9Y/1b/Uv9P/1T/Yv9v/3D/ZP9R/zz/If77/sz+nf53/lr+Qv4t/h3+EP4C/fT95f3X/cj9uf2r/Z/9lf2J/Xz9cv1t/Wn9Yv1T/T79J/0T/Qb8/vz5/PH85PzT/L38pPyH/G78XfxR/EH8KfwN+/b75vvW+737oPuI+3b7aPtX+0b7OPst+yH7EvsD+vn68frq+uD61vrP+sr6xvrE+sP6w/rC+sL6xfrK+s/60/rY+t/66frz+vz7CPsX+yb7L/s1+zz7SPtT+1n7Wvtb+177ZPtr+3P7f/uL+5X7nPul+7D7u/vD+8X7xvvK+8/71fva++D75vvs+/L79/v7+/78APwE/Av8FPwb/CL8Kvw2/EP8S/xO/E78UPxU/Fj8XPxj/Gz8d/yA/If8jvyV/Jv8oPyk/Kr8s/y//Mn80/zd/Of87/z2/Pv9Af0K/RX9Hv0m/Sv9Mf03/T79Rf1K/U/9VP1b/WT9b/14/X/9hf2N/Zf9of2m/aj9rP2y/bz9xv3R/d396P3v/fT9/P4I/hj+Jf4u/jT+PP5H/lH+Wv5l/nL+ff6D/oj+jv6Y/qT+rf62/sD+y/7U/tv+4v7t/vn/Bf8P/xr/K/8+/1L/Zv96/4//ov+2/8v/4//9ABIAIQAuADwASABRAFcAXgBoAHIAewCCAIgAigCHAIIAggCJAJYAoAClAKoAtgDNAOgA+wEAAP4BAgESASwBRAFVAWcBggGoAcwB5gH4AgsCIwI6Ak0CYQJ8Ap0CwQLlAw0DNQNXA28DhwOpA9UD/wQbBCsEOwRUBHYEngTLBPsFKgVWBYMFsAXXBfYGEwY1BlYGaAZlBk4GHAW5BSMEoAStBaUHZglnCyYMfw2NDl0Oyw7FDnUOGw3BDToMeQvIC44L1QwrDAULQgo9CXAJFwkeCVYJlQm+Cb8Jngl9CYMJrwncCeEJtAlsCSQI6gjACKEIhAhdCCQH4gekB3YHVgc7Bx4HAAbjBskGrwaQBmkGNwYDBdIFqAWCBVoFLAT9BNAEpQR5BE4EJAP7A9UDtQOeA48DhAN1A18DPwMUAtsClwJSAhkB9QHpAfEB+gHnAagBTQEBAOwBDgE7AUQBFQC6AEn/zf9M/tH+cf4w/gH9zP2L/Uv9IP0S/RP9Ef0C/Ov81PzA/K/8pPyg/J/8l/yB/GL8S/xF/Ev8U/xW/Fv8bPyJ/Kv8zPzq/Qn9KP1C/VL9W/1k/Xf9mv3T/h3+bP6r/s/+3v7u/xH/Sf+B/6b/tf+5/8T/2v/3ABEAIgAuADwAVQB3AJ0AvgDWAOcA9QEGARgBKAE0AToBOwE8AT0BQQFEAUYBSgFSAWEBcwGCAYwBlAGhAbcB1AHyAg4CJwJCAmECgQKfArgCzgLkAvwDFAMqAz8DVANqA34DkQOjA7QDyAPeA/cEDgQjBDYERwRZBGsEfgSSBKYEuwTOBN4E7AT8BQ4FIwU5BVEFaAV9BY0FmgWoBbgFxQXKBcgFxgXLBdMF1QXPBckFyQXMBc0FyQXEBcUFzAXSBdQF1QXZBd8F5gXsBfQGAAYPBhoGIwYrBjcGSAZZBmsGfQaTBqwGxwbjBv0HFAckBzIHQgdZB3MHiAeXB6gHwQfjCAQIHgg3CFQIjQi/CNcI2wjfCPIJDgksCU4JdAmTCZEJYAkYCOUI4gkDCSYJNQk2CTkJQwlLCU4JUglgCXUJiAmVCZ8JrQm+Cc4J3QnuCgMKFAodCh4KHgoiCicKKgotCjQKQgpTCmQKegqcCsoK+QsbCzMLUguMC94MNAxtDHoMYgw4DBIL/Qv9DBEMMwxbDIgMvQz8DT8Ndg2RDYwNcw1TDTMNFwz8DOIMyQyyDKMMnwyoDLcMyAzWDN0M1wzBDKMMjgyKDJAMiwx5DG8MiQzKDQ8NMA0jDPsM0wy/DMgM/A1aDcoOIQ5FDj4OJQ36DaUNHAx7C/MLnwtuC0ALBwrGCnsKFAmQCQYIlwhPCCEIAAftB+wH8QfpB9IHwQfGB9UH0wexB3MHIga9BkgF1gWDBVoFSgU7BSgFFAUGBPwE9wT7BQYFEAUTBRUFHwUwBT0FRQVRBW4FkQWlBaEFlwWpBeQGOgaQBtIG+QcHBwcHBwcNBxAHBAboBsgGsQahBo8GeAZhBksGLgYEBdMFqwWSBYMFdQViBUsFLwUQBPcE6wTtBPYFAQUSBS0FTQVoBXcFfwWDBYIFeAVsBWYFZAVaBUEFJgUXBRMFCwT5BOwE8QUBBQkFBwURBTcFbAWSBZ4FngWgBZcFcgU9BRoFHwU4BT8FIwT1BM8EtASWBG4ERQQmBBIEAgP1A+wD5wPfA9ADwQO4A7IDpQOQA3kDZQNWA0MDKwMOAvIC1wK8AqEChQJoAksCLwIUAfcB2QG5AZwBggFnAUcBIwEBAOUAygCpAIIAXgBCAC4AF//5/9X/sf+P/2v/P/8N/tv+rf6A/lD+HP3n/bT9hP1T/SD86/y4/IP8TPwT++L7vPuf+4H7W/sv+v36xvqL+lH6Hvnz+c/5rvmP+XL5Uvks+P/4z/ih+Hj4Uvgv+A/38/ff99f32PfY98r3pPdu9zX2/fbB9nn2MPX29dD1sfWH9Ur1BfTB9IT0S/Qa8/jz6PPl8+Pz1vO885vzfvNs82HzUfM18xHy8fLX8rvyl/Js8kXyJvIR8gTyAfIE8gTx8fHK8Z3xd/Fe8UjxL/EV8QTw/fD98QDxAvEE8QfxCfED8PHw1/DD8MPw0fDZ8NDwwfDA8Mzw0/DF8K3wpfCy8MDwuvCk8JTwkfCP8ILwcfBq8GzwbvBr8G3wfPCT8KbwtfDN8PPxH/FH8Wzxk/G38c/x3fH08i7ymPMu8930ffTc9OD0qPSC9K/1KvWz9hL2RfZt9pz2xfbY9tr24Pb49x33Qvdg93T3dfdl91T3UPdb92X3Yvdg93P3n/fU9/34G/gz+ET4Q/gz+C34Uvim+Qn5UPlk+VD5Mfkd+Rz5K/lD+Vr5ZPlZ+T35HvkO+Rn5Pvl0+bD57Poj+ln6kvrZ+zf7rvwz/LP9IP17/dH+Jv5z/rH+5P8c/2L/rf/qABAALgBcAKMA9AE4AWYBiwG0AeoCJwJjAp0C1wMSA08DkwPiBDYEfwSuBMYE3AUHBU0FnAXlBigGbQa1BvEHFAcmBz4HbAerB+YIEwg2CFoIggirCNAI8QkUCT0JcQmqCeAKDAoxClwKkwrMCvULCQsTCyALNQtTC34LwAwYDHMMuwzsDRcNUQ2aDeAODQ4aDgkN6w3RDcANpQ1gDOEMQgu7C3oLfgugC7cLugu5C78LyAvKC84L7Qw0DJAM1gzsDOAM3Qz9DS8NTA1EDS4NLw1VDY4Nvw3iDf0OGQ4zDkgOWQ5oDnIOcA5hDksONQ4kDhoOGg4mDjkOUA5uDpsO2Q8aD0sPag+ND9IQPBCtEPkRChD0EOIQ6xELESwRQBFPEWIRfBGUEasRwxHdEfAR9hH1EfgSAhIIEgER7RHVEcIRtBGtEbARvBHIEcsRxRHAEcMRyhHOEcwRyxHREdwR5hHoEeUR4BHkEfsSLRJtEp0SnxJ0EkASJhIcEd8RLxARDskNlAxuCykJ0gjTCKgJXQp3C1wLzQv1DAsMGQwPC/oL+wwSDA4LxAtKCuIKswqkCocKSwoFCcgJkglXCRsI5gi2CIMITQgeB/gH0AeeB2gHNAcBBsYGhAZOBisGDQXgBaoFfwVsBV0FPQUHBM4EogR8BFMEJgP7A9UDqwN7A0wDKAMKAukCwQKZAngCVwIwAgYB4gHKAbYBmwF3AVIBMwEaAQMA6wDUAMAArgCaAIQAbgBXAEEALQAZAAf/9P/e/8f/s/+m/5//lv+H/3P/Yv9Z/1X/Uf9Q/1b/ZP9z/3X/av9X/0L/Kf8H/tv+rv6H/mf+TP41/iD+Df36/ej92f3M/b/9r/2d/Yv9e/1s/V39Uf1J/UX9Qv07/S/9Hv0L/Pz88vzp/N78zvy8/Kj8k/x//G/8Zfxd/E78N/wd/Af79fvh+8n7sPuc+4/7g/t1+2X7VvtJ+zv7Kvsc+xD7Bvr5+uv63/rW+tD6y/rJ+sn6yfrJ+sj6yPrL+s/60/ra+uT67/r4+v/7CPsV+yT7MPs3+z77SPtS+1j7W/te+2P7aPtu+3X7f/uI+4/7lPuc+6j7tfu/+8L7w/vE+8j7zvvS+9b72fve++X77Pvw+/P79fv8/AX8DvwT/Bb8HPwn/DX8PvxA/ED8QfxF/Er8UPxX/GD8afxy/Hj8fvyG/I38lPyY/Jz8ovyr/Lf8wvzM/NT83fzl/Oz88Pz0/Pz9Bf0P/Rf9Hf0i/Sn9MP02/Tr9Pv1D/Uv9VP1d/WT9bP12/YL9jP2S/Zj9nf2l/a79uP3D/dD92/3i/eX96v32/gf+Ff4d/iD+J/4x/j7+Sf5W/mP+bv50/nb+ev6E/pL+nf6m/q7+uP7D/sz+1f7f/ur+9P78/wb/F/8t/0T/Wf9s/33/j/+h/7j/1P/yAAwAHQAoADEAOABAAEcAUABbAGYAbgB0AHgAegB4AHUAdgB9AIgAkACXAKAAsADHAN0A6gDsAOwA9gELAScBPwFRAWIBfAGgAcMB3gHyAgMCFgIqAkACWAJ3ApoCvgLjAwoDLQNIA14DdwOcA8gD6wQABAoEGgQ2BF4EjQTABPMFIwVQBXoFnwW+BdoF+gYdBjsGRwY/BiYF8AWEBOwEdwSkBbkHhQmBCz0Mng2zDnMOvQ6VDjwN7A2SDPMMCws/CwILVAuxC48K1gnrCUQJDAkhCUwJbAl4CXMJbgl9CasJ3wn1CdcJkglFCQIIzwipCI0IcghLCBEHzgeTB2gHSQcqBwgG6gbTBsAGrQaQBmYGMgX8Bc0FqAWHBWMFOgUSBO4EywSmBHwEUAQlA/kD0AOsA5EDgANzA2ADPQMIAsQCfgI/AgwB5AHGAbIBogGHAVoBJwEJARIBMwFIATcA/wCxAFL/3v9Y/tX+cf41/gn90v2L/Uj9If0b/SX9KP0a/QH85vzP/L78tfyx/K78ofyF/GD8QPwz/Dj8RvxV/GX8ePyQ/Kz8zfz0/R39Q/1e/XH9gv2Z/bj94/4h/nL+yf8K/yf/Kf8y/1r/nP/c//3/+//q/+D/6QABABwANABHAFsAdwCZALwA2ADqAPcBBgEcATgBUAFgAWUBZQFkAWcBbwF4AYEBiQGRAZsBpgGwAbYBvAHGAdkB9QIUAjECTQJqAogCpwLEAtwC8AMFAxsDMgNHA1sDbwODA5cDqgO8A9AD5QP7BBAEJQQ6BE4EYQRzBIMElASnBLoEzgThBPEFAgUUBSkFPgVVBW4FiAWgBbMFwQXPBdsF4wXiBdsF1wXZBd4F3AXUBc0FzQXPBc4FyAXFBcoF1AXaBdoF2gXfBecF7gXzBfkGBAYRBhsGIQYqBjgGSgZcBmwGfgaSBqkGwwbeBvkHEgclBzUHRgdcB3IHhAeTB6kHygftCAYIFQgqCF0IpQjhCPwI/AjyCOsI6gj2CSIJcAnACd0JqglDCOcIyAjiCQwJJgkrCSkJKwkvCTQJPQlNCWIJdgmHCZcJqQm7CcsJ2gntCgMKFAocCh0KHgoiCiUKJAoiCicKNQpJCl0KdAqUCsAK7wsWCzELTgt/C8cMFAxODGMMWAw7DBsMBAv/DA8MLgxRDHQMoQzjDTkNiQ23DbgNmg10DVMNPA0pDRsNDQz8DOgM1gzPDNQM3wzrDPEM7QzcDMQMswyxDLUMqwyQDIAMnQzrDUINcQ1mDTYNBwzvDPkNLA2DDd8OFQ4QDeMNsQ2BDToMxww+C80LjgtrC0MLAwqyClEJ3AlXCNsIhghbCEcIOwg3CDsIOggnCAcH8gf3CAYIAQfeB6UHXQcABosGEwW5BYsFewVwBV8FTgVEBT8FPQVABUgFTwVTBVcFYQVuBXkFgwWaBcAF5wX5BfUF9QYYBmEGvQcPB0oHbAd6B3sHewd+B3oHZQc+BxUG+QbnBtEGsgaMBmcGQQYXBfAF1QXJBcEFtQWkBZEFfQVlBU8FQgVCBUkFUgVhBXkFlgWsBbgFvgXGBc4FzwXJBcQFwAW0BZwFggV2BXUFcwVoBV0FXwVpBXEFdgWIBbMF4wYABgAF9QXpBdQFqgV2BVYFVwViBVgFNAULBO4E1gSzBIQEXARGBDsELwQgBBYEEwQQBAYD+gPxA+oD2wPEA6wDmwOOA3sDXwM/AyEDBwLuAtICtgKZAnwCXwJCAiUCBgHnAcwBtAGbAXsBVgE0ARkBAADfALkAlQB7AGcAUQAyAA//7//R/67/gv9Q/yD+9/7N/p7+af4z/gL90/2h/Wr9Mfz7/Mb8kvxe/DL8Dvvw+8/7p/t3+0L7CvrR+pn6Z/o8+hj5+fnc+b35mflt+Tv5Dfjl+MT4pfiE+GP4Qvgo+Bf4EfgN9/332/eu94H3V/cn9uj2n/Zc9ij2APXT9Zf1TfT/9Lj0gfRc9Ef0OfQp9BTz+vPf88fztfOr86LzkfN181HzLvMP8uvyvfKN8mbyT/JA8jPyJfIc8hLyAPHi8b7xnfGC8WbxSfEu8R3xF/EV8RTxEvET8RrxHvET8PPwyvCy8Lnw0PDV8L3wn/CZ8K7wvfCx8JXwjPCf8LTwsPCX8IHwefB18GjwWvBZ8GLwaPBk8GXwdPCN8KLwsvDI8OrxEPEx8VLxefGj8cHxz/Hb8fryO/Kl8zvz7PSB9L/0m/RW9Ez0qfVC9c/2JvZV9nj2l/ap9q32s/bI9uz3Ffc49073UfdC9yz3Ivcp9zf3QfdH91X3cfeT97T30ffo9/L35ffN98/4Cfh0+N/5GfkY+Pn44fjh+PH5Bvkc+TD5Ovkw+RH46vjU+Nz5BPlA+YD5vPny+ib6X/qm+wT7efv8/Hr86f1G/Zv97P41/nD+oP7V/xb/Wf+N/6r/wf/oACsAfgDMAQsBQAF4AbkCAgJJAocCuwLpAx0DZwPKBDkElwTMBNgE2ATrBR8FaQW0BfsGQAaEBr0G4gb6BxcHRAd+B7UH3wgCCCYITQh1CJkIugjdCQUJNQlrCaEJ0gn9CisKYAqUCrsKzgrUCtkK5wsGCz0LkQv6DGEMrwzhDQoNQA2DDcAN4Q3iDc8NuQ2nDYgNQwzIDCkLmAtGCz4LWgttC2cLXAtkC3wLjQuKC4oLsgwKDGwMpQyiDIMMeQyaDNAM9Qz+DP8NEA02DWENhw2oDcoN6g4CDhAOGw4oDjMOMQ4jDhAN/w30De4N8Q38Dg4OJQ5CDmwOog7YDwIPJQ9XD6oQEhBrEJYQlRCHEIwQrBDWEPcRDREhETcRThFmEX0RlhGrEbgRvxHKEd0R7xHzEeMRxhGnEY8RfhF3EX4RkBGfEaQRoRGgEaURqxGuEa0RrRGyEboRwxHJEcsRzBHUEfISKhJrEpEShRJUEiYSEhH7EZ8Qyw+RDjIM3QuRCj8JFAh3CLMJogq6C4AL3AwCDBsMIQwIC+wL+AwjDCkL1gtBCrsKeApnClMKIQneCZ0JZQkvCP0IzgidCGYIMAgFB+EHtgeAB0cHFwboBq8GbQY3BhgF/gXSBZYFZQVQBUgFMgUCBMkEmgR0BE0EIgP4A9MDrQOCA1cDMAMMAuYCvAKVAnUCVgIvAgMB3AG+AagBjwFyAVMBNAEXAPoA4ADMAL0ArACYAIAAagBYAEgANgAjAA//+v/m/9P/wv+1/6v/of+P/3r/Zf9Y/1P/Uv9V/13/aP9x/3D/Zf9T/z//J/8H/uD+t/6S/nP+WP4//if+Dv31/d79y/29/bH9of2M/Xb9Yv1R/UP9Nv0q/SD9Gv0X/RP9DP0B/PT85/zZ/Mr8u/ys/J/8kvyF/Hf8a/xd/E38Ovwm/BT8Avvt+9b7wPux+6b7mvuL+3v7a/tb+0r7Ofsr+yD7E/sD+vP65/rf+tj60vrP+s/60PrO+sn6xvrH+sv60vrc+ub68Pr2+vz7BPsT+yT7Mfs6+0D7SPtQ+1j7X/tm+237c/t4+377h/uQ+5X7mfuf+6r7t/vC+8b7x/vH+8r7zvvS+9X71/va++D75vvp++v77fv1/AD8CfwM/A38Efwa/CX8Lfww/DH8NPw5/D/8R/xO/Fb8Xfxj/Gj8bfxz/Hz8hPyL/I/8lfyd/Kn8tPy8/MH8yPzR/Nr83/zi/Ob87vz4/QH9B/0M/RP9G/0i/Sf9LP0x/Tf9Pv1E/Uv9Vf1g/W39d/1//Yb9jv2W/Z39pf2w/bz9yP3P/dL91/3j/fX+BP4L/g7+E/4f/iz+OP5D/k/+Wv5h/mP+Zv5v/nz+h/6P/pf+o/6x/r3+x/7R/t3+5/7v/vn/CP8e/zf/TP9d/2z/ff+P/6X/wP/e//kADgAbACQAKwAxADgAQQBLAFYAXABfAGAAYQBkAGcAbQBzAHwAhgCSAKEAswDDANAA1gDZAOAA7wEFAR8BNwFMAWEBeQGXAbYB0gHoAfoCCgIcAjECSwJqAo4CtQLdAwMDIAMzA0QDXwOHA7ID1QPqA/kEDQQsBFMEgQSyBOQFFAVABWcFhgWgBboF3QYDBh8GJgYcBgMFywVbBMQEZQS3Be0HxAm2C2QMuw3FDmwOlQ5TDfENnA0wDGsLXAp7CjoKjwrzCuQKWAmwCUoJNglGCUwJPwkwCTQJWgmhCe0KFgoACbMJVAkGCM8IpwiFCGcISggjB+wHrgd5B1EHMQcSBvMG2wbNBsIGsgaUBmgGMgX9BdEFsQWWBXgFVgU1BRcE/ATcBLgEjwRiBDMEAwPZA7kDpQOWA4ADWgMhAt0CnAJlAjYCBwHXAagBgAFaATQBFQEOASEBPAFCASUA7gCoAFL/4f9a/tn+ev4//g/90f2E/UD9HP0Z/ST9K/0j/Q/8+Pzh/NH8yfzH/MX8uPya/HD8Svwz/DL8QfxY/G/8hvyb/LT81f0A/TD9Wv13/Yz9o/3F/fD+Jv5q/sD/Gv9d/3v/fv+I/7D/8gAwAE8ASgAwABkAEgAcADIASwBiAHkAkwC1ANgA9QEHARMBIgE7AV0BfgGUAZsBlQGLAYcBjgGeAbIBwQHLAdEB1QHaAeIB6wH5AgsCJAJAAl4CegKUAq8CywLlAvwDEAMjAzcDTQNiA3UDiQOcA7ADxAPYA+wEAQQVBCgEOwRRBGcEfASQBKEEtATIBNwE7wUABREFJQU6BU8FYgV1BYoFogW6Bc4F3gXsBfcF+wX2BesF4gXiBeUF5AXfBdoF2gXbBdgF0QXOBdMF2wXeBd0F3QXkBe8F9gX5Bf0GBwYSBhsGIQYrBjsGTgZgBnAGgQaVBqsGvwbWBu8HCQcfBzAHPwdQB2MHdweQB7MH2Qf3CAUIDAglCHQItwjpCQIJCAkCCO8I1wjWCQ0Jfwn1CiQJ5gliCOgIuAjPCQAJHgkgCRgJFAkZCSIJLglACVUJaQl7CY8Jogm0CcMJ0gnmCf4KEwoeCiAKHwofCh4KGgoXChsKKgpBCloKcwqTCrsK5wsNCygLQAtjC5gL1QwKDCoMNgwxDCEMDQwDDA0MJwxEDF0Mfwy9DRoNeQ22DcENqQ2JDW8NXQ1ODUENNg0rDRwNDg0GDQYNCg0MDQoNAQzyDN8M1AzYDOEM2gy9DKQMtAz4DUwNgA18DVUNLg0cDScNUw2ZDd4N+g3cDZcNUg0bDN0MhAwcC8ULjgtkCygK0QppCfYJegj8CJcIYghbCGYIcAh0CHQIaQhPCC8IIQgsCD8IPQgeB+kHogdCBscGSgXtBb8FrgWiBZIFhQWCBYMFgwWDBYcFjwWWBZwFowWqBbIFwwXkBhAGNAZBBkQGWwaaBvUHTweTB74H2AfjB+QH4gfiB9kHvgeSB2cHTAc7ByMG+gbGBpMGZgZABiMGEgYJBf8F8AXgBdQFyAW1BaAFkwWUBZ0FpgWvBb4F0gXiBesF9gYIBhwGJQYjBhwGFwYPBf4F6gXfBdwF2AXNBcEFwAXJBdYF5wYFBi8GUgZbBkkGMQYcBf4FzgWaBXsFeAV5BWMFOwUZBQgE+ATUBKMEfgRwBG4EZwRaBFIEUQROBEEEMAQjBBsEDgP5A+IDzwO+A6cDiQNqA1ADOAMeAwIC5gLKAq4CkQJzAlcCOQIaAfwB4gHHAakBhgFkAUgBLwESAPAAzwC0AJ0AhABmAEgALAAR/+3/wP+Q/2X/QP8Y/uj+s/5+/k7+Hv3q/bH9d/1A/Q383Pyt/IH8W/w4/BP76Pu2+4H7TPsY+uf6uPqL+mX6Rfop+gn53/ms+Xn5Tvku+RP49vjS+Kz4h/hr+Fr4UPhE+C74C/fj9773m/dx9zj29Pay9nn2S/Yc9eP1nfVR9Q704/TS9M30wvSn9IP0YPRE9Cz0FPP/8+zz1fO1847zZPM78xDy3vKr8oLyafJa8k/yQvI08iXyEvH58d/xxvGq8YfxYPFA8S/xLvEx8S7xJvEh8SXxKfEb8PHwwPCm8LTwzvDN8KTwd/Bv8I7wqPCe8H3wcPCD8J3wnPCD8GvwYvBe8FPwR/BJ8FjwYvBf8F3wavCC8JnwqvC/8N7xAPEc8TjxXPGF8aXxtvHC8dbx+PIy8p/zSfQG9ID0f/Qr8/X0MvTW9Yr2AvY49lH2aPZ+9or2kfaf9rr22/b59w33FPcN9v/29/b+9xH3Jvc490b3Vfdn93n3jPea95j3hfd395P36/hj+MD43PjA+Jv4k/ir+Mz44/jx+P75Bvj8+Nv4sfiX+J/4zPkL+U75ifm/+fX6Mfp6+tX7RPvC/EH8tf0X/Wr9tP3z/ij+Vf6F/r3+9f8h/0D/Xf+L/88AIQByALoA+gE7AYIBzwIdAmICmQLJAwMDWwPRBE8EsQTdBNgEwQS/BOQFKAV5BcYGDwZSBosGtwbYBvYHGwdFB28HlAe1B9UH9ggZCEEIbwihCNEJAAkzCWsJownVCgAKLApZCn8KlQqZCpcKoArDCwQLZAvVDEEMlgzRDQANMw1qDZYNpQ2XDYANcQ1mDT0M1AwqC3QK+ArbCwALJgsiCwYLBQs4C34LowuVC3oLiQvPDCQMTwxCDCAMGQw9DHUMowy/DNcM+Q0fDT0NUw1pDYcNqA3ADc8N3A3pDfMN8Q3lDdgNzQ3FDbsNtw28Dc0N5g4HDjMOZw6XDrkO2w8VD3UP4xAzEEkQNxAnEDgQZBCTELUQzRDjEPsREREnEUERXBFuEXQRehGREbcR2hHjEc0RphGAEWMRUBFJEVERYRFxEXcRdxF4EXoRfhGCEYYRjBGTEZgRnhGlEawRsRHAEecSJhJjEnsSYRIuEggR9RHMEVAQYg8XDaIMJAqrCVcIcAhHCOkJ/Ar7C5cL3wwJDCcMIgv2C88L3gwUDCML0gs4CqIKSQonCg8J5wmwCXcJQAkNCN4IswiDCEwIFgfrB8YHmAddByQG9wbPBpkGWAYiBgMF6QW5BXQFOQUjBScFIAT9BMYEkwRrBEcEIAP2A9ADrAOHA18DNgMMAuECtwKSAnMCVAIvAgUB3AG5AZ0BhAFtAVMBNQERAO4A0QC+ALEAowCQAHsAaABZAEwAPgArABYAAf/u/93/zf+//7P/pv+W/4H/a/9a/1L/VP9c/2X/bP9s/2X/WP9J/zj/Iv8G/uT+wP6e/n/+Y/5H/iv+D/3y/db9vv2q/Zr9h/1x/Vr9R/05/S79If0T/QT8+fz0/PP88/zv/Of82/zM/Lv8rPyg/Jf8kPyH/Hv8a/xY/EX8Nfwn/Br8Cvv2++H70PvE+7j7qfuX+4b7dftk+1L7Qvs2+yr7HPsL+v368/rs+uX63frZ+tn62frW+s/6yfrJ+s761fre+uf67/r1+vz7B/sY+yr7OPtA+0b7TftW+2D7avt0+3z7gPuD+4f7kPuZ+6D7pfuq+7L7vfvH+8z7zvvN+8770fvV+9f72fvc++D75Pvl++T75fvt+/f8APwE/Af8DPwT/Br8H/wi/Cf8K/ww/Db8PPxE/Ev8UPxU/Fn8Xvxk/Gr8cvx7/IP8ivyS/J38qPyv/LH8tfy8/Mb8zvzS/NX83Pzl/O388/z4/P/9B/0P/RT9G/0i/Sn9L/00/Tr9Q/1O/Vn9Y/1s/XP9ev2B/Yn9kf2b/af9s/29/cP9yv3W/eb98/36/f3+A/4P/h3+J/4u/jj+Q/5M/lD+VP5c/mn+c/56/oD+jP6c/qv+tf6+/sn+1f7g/uv++f8O/yX/Of9K/1v/bf+C/5b/rP/D/9v/8gAEABIAHQAlACoALwA3AEEARwBIAEYARgBMAFYAYABpAHEAfACMAJ8ArgC3ALsAvwDIANUA5QD3AQsBIwE9AVcBbwGGAaABuwHUAekB+wIPAiYCQgJjAokCtQLhAwUDGwMnAzYDUQN4A6ADwgPcA/UEEAQwBFMEfASnBNME/AUjBUcFZwWDBaMFzAX3BhIGFgYKBfEFtQU/BKsEYQTWBikIBAnhC3EMsQ2pDjwOTQ33DYQNGwyRC64KjgmsCW8JwwonCjAJ4wmOCW8Jegl+CV8JLQkPCSQJcAnaCjIKSAoLCZgJJAjSCJ8IeAhUCDIIEQfqB7gHgQdRBysHDQbyBt0G0AbKBsMGswaWBmsGNwYCBdYFuAWhBYsFdgVgBUoFMwUXBPgE1gSvBIMEVgQuBA8D9wPhA8QDmQNhAyEC5QKxAoECTAIPAdABmAFoAT8BIgEcASsBOwE1AQ0AzAB+ACH/sP8x/r3+av4y/f/9vv10/Tb9FP0N/RP9Gf0a/RP9Bfzz/OT82/za/Nn8zvy0/I38ZfxL/EP8Tvxi/Hn8jfyg/LX81v0E/Tv9bP2Q/an9w/3m/hb+UP6Z/vD/Sf+S/7v/zf/fAAMAOABsAI4AlgCKAHMAXQBQAFEAXgBxAIYAoADAAOUBBQEcASsBPAFWAXwBpgHHAdUBzQG4AaUBpAG0Ac4B5QHyAfcB+QH/AgwCHQIxAkUCWwJ0ApACqwLDAtgC7gMGAxwDMANCA1UDawOBA5cDqwO/A9MD5wP6BA8EIwQ2BEkEXARxBIcEnQSyBMUE2QTuBQMFFAUkBTUFSgVgBXQFgwWRBaEFtwXNBeIF8wYABgoGDAYEBfcF7AXpBesF7QXsBeoF6gXoBeMF3QXaBdwF4AXgBd8F4gXqBfMF9wX6Bf4GBwYQBhYGHAYmBjgGSwZeBnEGhgadBrEGwgbTBukHAQcWByQHLwc9B1IHbQeRB7gH2wfyB/4IDwg2CIUIqQi/CM8I3wjnCNgIuwi5CP0JgQoCCi4J5QlaCOIIuQjTCP8JFQkOCQEI/gkGCRUJJgk6CU8JYwl1CYcJmQmqCbkJyAncCfYKDwofCiMKHwoaChUKEQoPChQKJAo9CloKdwqWCroK4QsECx8LMQtFC2ELhQuvC9sMBAwgDCYMGAwGDAQMFwwxDEkMZQyZDOsNQw2ADZQNjA2ADXsNdw1sDVwNTw1JDUgNSg1NDU8NTA1CDTQNJQ0VDQcNAQ0JDRcNFAz5DNgM1g0DDUcNeQ2CDW4NWg1XDWkNkA3FDfIN9w3FDXANHAzcDKYMZwweC9cLlAtICuUKcwn+CYwJGQitCGIISwhgCIIIlwicCJQIhAhrCFUIUghlCHsIfQhhCCsH3QdxBu8GdQYfBfUF4wXTBcEFuAW7BcIFxAXDBcYFzgXYBeAF4gXkBe0GBgYvBlsGeAaGBp0G1gczB5gH5AgOCCUIMwg6CDoINggyCCgIDQfjB70HpweaB4AHUAcSBtYGpAaABmcGWQZPBkEGMAYjBh0GFgYGBfAF4wXmBfAF9QX2BfkGAwYPBh0GLwZJBmMGcQZwBmwGbAZtBmgGXQZSBkgGOwYrBiAGJAY2Bk0GZQaDBp8GrAaeBoEGaAZWBjgGAwXJBaUFngWYBXsFUQUyBScFGwT5BMoEqgSjBKgEpQSaBJIEkQSMBHkEYQRRBEkEPwQsBBMD/APmA84DsgOZA4IDagNOAzADFAL7AuACwwKnAowCcQJRAi4CDgHyAdYBtAGSAXQBWwFCASUBBgDpAM4AsgCXAH4AZgBLACf/+//P/6n/hP9a/yv++f7I/pj+Zf4u/fT9u/2F/VP9JPz3/Mv8oPx3/E38IPvv+7v7i/tf+zX7Cfrc+rH6kPpz+lH6I/ns+bn5k/l3+Vz5OvkO+OD4u/im+J74m/iR+Hf4T/gj9/n30Peh92v3MPb09r32ivZa9ib16vWq9XX1WvVZ9V/1U/Ux9Qb05fTO9LX0kvRp9ET0IfP288HzhvNP8yDy9fLL8qXyiPJ28mryYfJU8kDyJvIM8fjx5/HP8afxdvFO8T7xRPFM8UfxNPEg8RrxHPEQ8OnwuPCf8K3wxvC/8I3wW/BY8ILwp/Cd8HPwWvBm8H7wf/Bq8FfwVfBW8E3wQPBB8E/wWvBZ8FbwYvB48I3wnPCu8Mzw7fEI8SHxQPFk8X/xkfGk8b3x1/H18jvyzfOT9C/0TPP486rz0/R99Uv12PYQ9iH2N/ZX9m32dPZ49ob2m/av9rz2xPbI9sr2zvbb9vH3C/ch9zL3PvdH9033T/dK9zz3Lfc593j36Phe+KH4nPht+Er4U/h7+KL4t/jD+M/42fjO+Kr4fPhh+Gz4nPje+R/5WfmO+cX6BPpM+qL7CfuA+/78dvzc/S79cf2n/dX9/v4n/lP+ff6l/s3+//9A/47/4QAzAIEAyQENAVEBmQHkAi4CbgKqAvUDXgPhBF8EsQTEBKgEhAR9BKQE7gVFBZcF4QYiBl4GkQa6BtgG7Ab9BxEHKwdIB2MHeweZB8gICQhPCI0IwQj3CTgJfQm2Cd4J/QoeCkEKWgplCmkKeQqjCukLRAunDAcMWgyfDNkNEA1DDWQNYw1EDR8NCQz8DM0MUwuXCt4KewqFCsMK4wrJCqYKxQszC7EL7AvLC4YLZguHC8QL5wveC8cLygv0DC4MYgyJDK8M2g0BDRkNJQ0uDUANVw1uDYMNmA2rDbUNsA2lDZwNlg2NDX0NcA1yDYQNnw3BDe0OIw5WDngOkw7HDyQPlQ/oD/8P7A/dD/MQIxBTEHQQihCfELMQxBDYEPURFBEoES4RNxFYEZARwBHNEbMRhRFcEUERMRErES4ROBFBEUURRhFHEUgRTBFSEV4RbBF1EXoRgBGIEY8RlxGsEdsSHhJUElwSNhIGEekR1RGTEPAP4A6ADPELTgm8CIAH8gg/CTYKWgs2C6sL4wwPDCsMGwveC6gLqAvRC+ALpAsqCqcKRQoECdEJogl2CUwJHgjtCMEImghuCDcH/gfQB6gHeAc+BwcG3Qa4BoQGRAYMBeoFzQWZBUwFCgTyBP4FCQTzBMIEjQRlBEUEIQP3A8wDpQOAA1oDLwMDAtgCsgKRAnQCVAIxAgoB4gG7AZgBfAFmAVIBNQEQAOgAxwCxAKQAmACKAHsAawBcAE0APgAtABoABf/y/+H/0v/D/7T/pv+a/4r/dv9j/1j/Wf9j/2z/bv9n/1n/Sv87/yz/Gf8C/uf+yf6r/oz+a/5L/iv+DP3u/dH9tP2a/YP9bf1X/UP9M/0m/Rr9Dfz//PD85Pzc/Nn82fzZ/Nb8z/zD/LT8o/yU/Ir8g/x9/HX8Z/xU/EH8Mvwm/Bn8Cfv1++T71/vM+777q/uY+4f7d/tm+1b7SPs++zP7JPsW+wr7A/r8+vL66Prj+uP65fri+t362PrY+tz64frn+u769fr8+wf7FPsk+zT7P/tH+077Vvtg+2v7ePuD+4r7jPuM+477k/ub+6P7qfuw+7j7wfvJ+8770PvQ+8/70PvT+9b72fvd++D74vvh+9/73/vl++379Pv4+/78BfwM/BD8E/wX/B78JPwn/Cv8MPw2/Dv8P/xF/E38Vfxa/F38Yvxs/Hb8fvyF/I78mfyh/KX8pvys/LX8vfzD/Mj8zvzW/N384/zp/PD89/z9/QL9Cv0V/R79Jv0r/TH9OP1A/Un9Uv1a/WH9Z/1t/Xb9gP2L/Zb9ov2u/bj9wf3K/db94P3m/er98f39/gn+Ef4X/h/+Kv40/jv+QP5K/lf+Yv5m/mr+dP6F/pX+n/6m/rD+vf7L/tj+5/77/xH/Jf82/0n/YP92/4n/mP+o/7v/0f/m//kACAASABYAGAAcACUALgAzADIAMQA3AEQAUQBcAGQAbgB9AIwAmACfAKMArAC7AMwA2gDnAPgBEAEtAUkBXwF0AYsBpgHAAdcB7QIEAh8CPwJiAowCugLmAwMDEQMZAygDRgNrA48DrwPQA/EEEgQyBFMEeQSgBMME4gUBBSQFSAVtBZcFyQX4BhUGGAYMBfIFsQUxBJwEYQTyBlkILQnsC1cMeg1iDekN7g2JDQQMhgvqCwEJ7gkgCO0JOAmVCbEJmAmKCaMJxAm9CYcJRgkpCUwJqQoZCmkKawoXCZQJFgi7CIAIUggpCAIH3Ae0B4QHUwcmBwEG5QbRBscGxAbBBroGqwaTBnAGQwYQBeEFvwWpBZsFkQWIBXoFZQVLBTAFFQT4BNcEtASTBHYEWQQ6BBUD5gOvA3EDMwL6AsUCigJIAgQBxwGVAWoBSwE7AToBNAEVANUAfgAd/7X/R/7a/n3+PP4O/d/9pv1p/TX9Ev0A/Pr8/P0E/Qn9B/z7/O785fzj/OT83vzK/Kn8hPxo/Fz8Yfxx/IP8lPyk/Lj81/0G/T/9eP2k/cL93P38/in+ZP6t/wH/V/+j/9sAAQAfAD4AYgCJALAA0QDiANoAvwCdAIYAgACJAJkAsADMAO0BCwEjATYBSgFlAYsBugHnAgAB/AHiAcYBuwHGAd8B9wIGAg4CFAIfAjACRgJeAnUCjAKkAr8C2QLvAwEDFAMpAz8DUwNlA3kDkQOpA8ED1gPpA/0EEAQiBDUESQRfBHMEhQSYBKwEwgTXBOoE/QURBSMFMwVBBVIFZQV7BY0FmgWmBbUFyQXfBfUGBgYTBhsGHAYTBgYF+QXyBfEF8wX0BfMF8AXtBekF5gXlBeUF5AXjBeQF6QXuBfEF8gX1BfsGBAYKBg0GEwYeBjEGRQZZBm8GiAaiBrcGxwbXBusHAAcRBxwHJgc1B00HbQePB7AHygfgB/oIIAhSCHAIbQhoCHMIjAicCJQIhAiXCOwJbgnXCecJmAkjCNIIxgjmCQQJBwj2COkI6gj2CQcJGwkxCUgJWwlpCXcJiAmcCa4JvQnPCecKAgoXCh8KHAoTCgwKCQoKChEKIgo9Cl4KfQqbCroK3Ar+CxkLKgsyCzYLQAtcC44LzwwLDCkMIwwLC/0MBwwiDD4MWgyADLYM7w0ZDS4NOw1RDXANiA2MDYANcQ1tDXQNhA2UDZwNlw2GDXENXQ1LDT0NOA1ADUwNSw00DRINBQ0dDVANfg2TDZUNlA2fDbgN3Q4EDhcN/w22DVIM9AyyDIUMXAwoC+ILhQsQCowKDgmjCUYI6wiXCF4IVgh0CJsIsQizCKoInAiNCIIIhQiWCKcIqAiOCFcH/weLBwkGmQZPBisGGAYEBfEF6gXwBfsGAAYABgMGDAYWBhwGHgYgBi4GTgZ6BqEGuQbQBwIHXgfRCDEIZQh1CHkIgAiECIEIeQhzCGkIUggvCA8H/QfvB9EHmwdZBxoG5wbCBqkGmgaPBoMGdQZsBmoGZgZXBkQGOQY7BkAGPAYxBiwGNAZFBlkGcAaKBqMGsga2BroGwQbJBsoGxQa7Bq4GmwaKBocGmwa7BtgG6wb3BvsG7wbSBrUGqganBpAGVQYMBdoFygXBBaQFeAVYBUwFQQUiBPkE3wTeBOUE4gTUBMoExgS+BKkEkAR+BHYEbARZBEAEJwQRA/oD4gPMA7YDnAN+A18DRQMvAxQC9QLXAr4CpQKFAmACPAIfAgMB5AHCAaQBiwF1AVsBPAEcAP8A4wDLALQAngCBAF4ANwAQ/+v/xP+X/2n/PP8Q/uD+qf5v/jX9/v3I/Zb9Z/08/RH84/yz/IX8V/wn+/f7yvuj+3/7Vvsn+vr61/q5+pb6Zvou+f352vm/+Z/5dPk/+Qz46fje+OX48vjx+Nv4r/h5+D34APfE94r3VPch9uv2s/Z/9k32GvXk9bb1nfWa9Zn1hPVb9TX1IvUe9RL08vTF9Jj0bfQ48/LzovNb8ynzCPLt8tDysvKa8ozyhfJ68mLyQPIg8g3yAfHr8cHxivFf8VLxXfFp8V/xPPEV8QDw/vD58N3wsvCY8KLwuPCw8ILwVvBa8Ivws/Cn8HTwTvBP8GLwY/BR8ETwS/BV8FHwRPBA8EvwVfBV8FTwX/B08ITwjfCc8Lfw1/Dx8QjxJPFC8VnxaPGA8abxzPHp8hvykPND8+D0CvPA83HzmfRJ9SL1tfXp9fP2CvYz9lL2WPZV9ln2aPZ19nr2fvaJ9pr2r/bD9tf26/b+9xH3IPcn9yP3E/b69uX25PcM92X32/hB+G34Wvgu+Bf4J/hM+Gz4gPiS+Kn4uPis+IH4T/g1+Eb4evi++P/5N/lp+Zz51PoV+mP6wvsz+6/8KPyR/OL9Hv1M/XP9mf2+/eH+Av4p/l7+pf77/1X/q///AFIAowDrASkBaAGsAfUCOwKAAtYDTAPXBE8EigSABFAELQQ2BHAExgUhBXMFuAX0BisGYAaMBqgGrwaoBqYGtAbOBukG/QcXB0gHkwfoCDEIbgiuCP4JUwmWCbwJzwnkCgIKHwo2CkwKbQqiCuYLLwt3C78MBgxNDJEM1A0QDTUNLw0DDMkMoAyGDE8L0gsZCm8KIwpCCogKnwp5ClkKjgsdC7UL9QvHC2gLLAs1C2QLhAuDC3sLjAvBDAQMPQxlDIcMrAzQDOsM9wz8DQENDA0eDTgNVw1xDXwNdQ1oDWANXA1SDUANMg01DUkNYQ16DZ8N2A4WDkMOXA5+DsgPMA+LD7MPrg+mD7wP6xAaEDoQThBgEG8QexCMEKkQzRDmEPAQ/xEoEWcRnBGmEYURVBEuERoREhEQERERFREXERcRFxEYERsRIRErETsRSxFWEV4RaBF0EXwRgxGaEc8SExI/EjYSCBHfEdERuRFXEIAPPg22DAsKWAjTB9UHrQhdCYgKpQtgC7wL7QwXDC0MEQvNC4sLbgtyC3ILUwsaCtEKfAoZCbYJaQk7CRwI9wjKCKEIgAhaCCQH5wexB4YHWAcjBu4GxAaeBm0GMAX5BdUFtAV9BS8E6ATLBNgE6wTgBLYEhAReBEIEIQP1A8MDlwNyA00DJAL4AtACsAKUAngCVwI1AhIB7QHDAZkBdgFfAUwBNQETAO0AygCuAJoAjQCFAH4AcgBfAEsAOQAqABoACP/1/+X/1//H/7T/pP+Z/4//gP9u/2D/Xf9l/23/bP9h/1D/Pf8r/xn/B/70/t/+yf6w/pP+cP5K/ib+Bf3o/cz9r/2T/Xf9X/1K/Tn9Kf0Z/Qn8+fzr/OD81/zO/Mf8wvzB/MH8wPy6/K/8n/yO/H78c/xt/Gj8YPxS/EL8M/wl/BX8Afvu+9770/vH+7j7pvuU+4T7dPtk+1f7TftE+zr7Lfsh+xn7E/sK+v368frt+u768frw+u767Pru+vH69Pr4+v37BfsO+xj7JPsw+zr7Q/tM+1X7Xvtn+3H7fPuI+5D7k/uU+5X7lvuZ+537o/us+7b7vvvF+8v7zfvN+8z7zPvN+9D71fvZ+9373/vd+9v72/vf++P75/vq++/79vv9/AD8A/wJ/BL8Gfwc/B78I/wp/Cz8Lvw1/EH8TfxU/FX8WPxh/Gz8c/x3/H78iPyT/Jr8nfyh/Kn8sfy3/Lv8wfzI/M/81fzb/OL86Pzt/PL8+/0G/RL9Gv0h/Sj9L/02/T79R/1P/Vb9Wv1g/Wr9dv2B/Yn9k/2e/ar9s/27/cL9yv3R/dX93P3m/fL9+v4B/gj+E/4d/iT+K/42/kT+T/5S/lP+W/5s/n7+iv6S/pv+qP62/sP+0v7n/v//FP8n/zr/Uf9n/3j/hf+R/6L/tv/K/93/7v/5//3//P/8AAQAEQAcACEAIwAoADMAQQBNAFUAXQBmAHEAewCEAI8AngCwAMAAzwDdAO8BCAElAT4BVAFpAYEBnQG3Ac0B4QH5AhYCNwJdAokCtgLcAvAC9gL9AxEDMwNZA3wDnQPCA+gECgQoBEkEcQSaBLoE0wTuBRIFOwVmBZYFzQYABh4GJAYcBgMFuwUwBJUEZAUJBn0ISgnuCzwMSw0pDakNog0uDJgMDwt1CqAJrwj/CNYJGAlpCYwJkgmpCdoJ/QntCa8JdAlpCZ0J/QpfCpIKegoaCZcJGwi8CHYIPggOB+MHugeOB18HMgcJBuYGyga6BrUGtQazBqkGnAaNBngGVgYpBfwF1wW+BbAFqwWoBaAFjQVzBVkFQgUtBRYE/QTjBMgEqgSFBFsEKwPwA60DZwMmAuoCrQJqAikB8QHGAaIBggFjAUIBEwDMAG0AAP+V/y/+z/56/jf+DP3t/c39o/11/Uf9H/z+/Oj84fzo/PP89/zx/Of84vzl/Oz87fzf/MH8m/x7/Gz8cfyC/Jb8qPy4/Mn84/0L/UH9ev2q/c395/4E/i3+Zf6p/vf/R/+U/9gAEAA8AF0AdQCRALkA6wEVASUBFQD0ANUAwgC9AMMAzwDhAPYBDAEgATUBTAFoAY4BvgHwAhECFAH9AeAB1AHcAfACAgIRAh0CKQI4AksCYgJ8ApYCrwLIAuMC/QMTAyYDOQNPA2UDegONA6IDuwPWA+4EAgQUBCYEOARJBFsEbwSFBJoErAS8BM8E5QT6BQ0FHgUuBT4FTQVbBWoFewWNBZ4FqwW4BccF2wXxBgcGGgYnBi0GLQYmBhkGCgX+BfgF+AX5BfgF9AXvBe0F7gXuBesF5gXkBeYF6gXsBesF6wXxBfsGBAYIBgsGEgYgBjIGRQZYBm0GhgafBrUGyAbdBvMHBwcVBx8HKgc7B1IHbQeGB54HtwfXCAMINQheCC4IFggTCCoIRghSCE0IVgiPCPgJYwmVCXcJJQjaCMEI2Aj7CQgI+gjkCNsI4AjsCPoJDAklCT4JTwlXCV8JcwmPCagJuAnDCdMJ7AoFChEKEAoICgIKAAoECg8KJApCCmQKhAqdCrYK0QrxCw8LIwsoCyELGwsoC1YLoAvuDCEMKAwQC/kL+AwRDDUMVwx1DI4MoQytDLwM3A0VDV4Nmw26DboNqg2fDaINsg3GDdQN1A3GDbENmg2FDXUNbw10DX0NfA1pDUwNOw1EDWUNjQ2rDboNxA3SDeoOCQ4eDhYN3w2ADRQMuwyDDGcMTQwhC9ELWwrKCjwJyQl5CTsI+gi2CIcIfQiUCLIIxAjHCMMIvgi5CLUItQi7CMEIvwioCHQIHAenBysGxQaEBmIGSgY0BiEGHAYkBjAGOQY9BkEGSAZPBlUGWwZkBnoGnAbEBuUG/wcmB3IH5AhaCKsIxwjFCMMIygjPCMgIvAi0CKsIlwh3CFcIQQgqCAQHzAeNB1UHKAcEBuoG2QbPBsUGuga0BrMGsAanBpoGkwaRBowGfAZpBmMGcgaLBqUGuwbOBuAG8Ab9BwkHEwcXBxUHEgcOBwUG9AbnBu8HEgc8B1cHWwdTB0UHLQcNBvUG9QcABu8GrAZPBggF7AXjBcwFpAWDBXUFagVQBS4FGgUaBSAFGQUIBPkE8gTpBNUEvgStBKMElgSCBGoEVQRCBCwEFAP8A+QDyQOrA48DeANiA0YDJAMDAuoC0gK1ApACbAJOAjMCFQH1AdgBwAGpAY8BcAFSATYBHQEFAO4A1QC4AJcAdABRACwAAf/T/6j/gP9W/yT+6/6w/nn+RP4O/dn9qf2A/VX9Jfzx/L/8kvxm/Dn8Dvvp+8X7nftu+0L7H/sB+tr6pvpu+kD6IPoE+d/5rfl0+UL5Ivkd+S35RPlO+T75EfjQ+IL4L/fh96D3bPc99wf2yvaQ9l32K/X09b71l/WA9Wr1RvUY9Pn09/UK9RT1BvTm9MT0ovR09DDz3fOO81LzLfMS8vXy0/K08qHymvKS8nzyWPIz8hzyDfH28cvxlfFu8WbxdvGF8XnxTPEV8PDw5fDh8M3wqPCO8JHwpPCh8H7wWvBf8IvwrvCf8GvwQvBA8FDwUfA/8DTwPfBL8E3wRfBE8E3wVvBX8FfwY/B28IPwiPCT8KrwxfDZ8OvxBfEj8TnxRvFc8YnxvvHq8hvyevMM85LzuvN98z/zc/Qq9QX1l/XE9cb12vYG9in2MvYu9jb2SPZW9ln2WfZl9n72mvaw9rz2xPbQ9uL29Pb69uz2zfas9p32sfbs90b3qvf3+Bj4Evf/9/v4Cvgh+DX4S/ht+JP4p/iU+GH4LfgY+C/4Z/is+O75JvlU+X35qPnc+iH6e/rq+2f74fxH/I/8vvzf/QD9Jv1O/XX9mv3H/gj+Xv7B/yH/eP/NACUAfADHAQMBOwF6Ab8CAQJBApcDEgOkBBwESgQuA/YD3QP9BEsEqAUABU0FjwXFBfQGIAZHBmAGYAZNBj0GQgZeBn0GlQawBt8HKweEB9YIHwhsCMcJJAlrCZEJoQmvCccJ5woKCjMKZwqkCuQLHwtWC44LygwLDFIMnwznDRYNEwzfDJgMXww1C/MLcgq+CiAJ4AoGCkoKXgo3ChcKRArACz8LcAtFCvgK0grnCxcLNAs1CzcLWgujC/cMNQxUDGEMcwyPDK0MwgzKDMwMzwzcDPYNGA01DUENOg0tDSUNIg0ZDQkM/w0GDRkNKQ0yDUsNhg3ZDh8OQQ5VDoMO2Q81D2wPdw90D4UPrQ/aD/sQERAhEC4QORBLEGwQkhCuELwQzxD8EToRaBFqEUQRFBD0EOkQ6RDsEPEQ9hD3EPUQ8hDyEPYQ/xEMERoRJxExET0RUBFiEWwRchGKEcESARIhEgkR1xG5EbcRmhESD/4OfAzDCwAJWwgRB3UHtQioCdoK1wtwC78L8wwaDCMMAQvBC30LRgsaCvwK9Ar/Cv4KxwpRCb8JSgkKCOsIywijCH0IYQhBCA8HzweTB2QHOgcIBtQGpwaABlQGIAXuBcgFowVsBSAE2gS4BL4EzgTHBKQEdgRTBDgEFwPpA7UDhwNlA0YDIQL3AtACswKaAn8CXgI9AhwB+AHNAZ4BdgFZAUUBMAEVAPYA1QCzAJYAgwB9AHwAdABiAEoANwArAB0AC//6/+3/4f/R/7n/of+S/4n/fv9u/1//Wf9d/2H/Xv9T/0P/MP8c/wb+8P7d/sz+vf6q/pD+bv5H/iD9/f3h/cb9rP2Q/XT9W/1G/TT9I/0R/Pz86fzb/NP8zfzF/Lr8r/yq/Kn8qfyo/KL8l/yH/Hb8Z/xe/Fr8VPxL/D78Mfwi/BH7+/vn+9f7y/vA+7L7o/uU+4T7dPtm+1v7VPtO+0T7Ofsw+yr7I/sX+wj6/fr6+v36/vr++v37APsD+wf7CvsO+xP7Gvsg+yf7L/s5+0P7TftX+2H7Z/tr+3D7ePuC+4z7lPua+5z7nPuZ+5j7nPul+7D7ufvA+8T7x/vI+8j7yPvK+8z7z/vT+9f72vvZ+9f71vvZ+9z73Pvc+9/75Pvp++z78Pv4/AL8CvwO/BH8GPwe/CD8IPwm/DP8QfxK/Ez8UPxZ/GP8afxs/HH8fPyI/JH8lvya/KH8p/yr/K/8tPy6/MD8xPzK/NH82Pzd/OT87fz4/QH9Cf0R/Rv9Jf0u/Tf9Qv1L/VD9Uv1W/WD9bf14/X79hf2Q/Zv9pP2p/a/9uP3B/cj9zf3V/d/96v3z/fv+Bf4N/hL+F/4h/i7+Of49/j7+Rf5V/mn+d/6B/ov+l/6j/q/+v/7V/u//Bf8Y/yr/Pv9T/2T/cf+A/5P/p/+4/8j/1v/i/+f/5P/g/+X/9AAFABEAFgAcACQAMAA8AEUATQBTAFkAYwBwAIAAkQCgAK0AvQDSAOwBBwEgATUBSQFgAXwBlwGwAcMB1wHuAgoCLAJSAn4CqQLIAtYC2gLkAv8DJwNQA3MDlwO9A+ED/wQaBD0EawSaBL0E2AT2BR4FSwV1BaMF2AYLBioGMwYwBhgFyQUyBI8EYgUTBpAIWgnzCzgMRw0mDaENiQz9DFULyAs9CogJvAknCQcJRAmPCbUJxAngCgsKIAoECcgJnwmwCf4KYgqrCrMKdQoHCY0JIAjHCHsIOggEB9UHpwd4B0sHJAcCBuEGwwaxBqwGrQaoBp0GkQaJBn4GaQZKBicGBgXrBdgFzQXHBb4FrQWVBXsFZgVTBT8FKAURBPkE3AS4BI0EWgQaA84DgAM4AvkCuwJ7Aj8CEgH0AdwBtwF/ATAAzgBd/+f/eP8Z/sf+fv4//hP9+v3s/dv9wP2a/W/9P/0Q/Ov81/zV/Nv83fza/Nb82vzm/Pb8//z2/Nf8rPyH/Hf8gPya/Lb8zfzc/Of89/0T/T/9cv2h/cf94/3//iL+UP6K/tD/HP9s/7oAAAA6AGIAegCPALAA3gEPATEBOgEwAR4BCwD7APAA7gD0AP4BCgEYAS0BSAFoAY8BwAHyAhUCGwIIAfAB6AHxAgECDgIZAikCPAJQAmQCewKXArUC0ALoAwADGQMyA0gDXwN2A48DpAO4A80D5gQBBBcEKgQ6BEwEXgRvBIEElQSrBL4EzgTeBPEFBgUcBS4FPAVKBVkFaQV3BYUFlAWkBbMFwgXQBd8F8AYEBhkGLAY5Bj4GPQY2BisGGwYKBgAF/gYBBgIF/QX2BfMF9AXzBe0F5QXiBeUF6QXqBekF7AX1BgAGCAYLBhEGHQYvBj8GTAZZBmoGfwaVBqsGwgbcBvYHDAccBygHNgdGB1cHaAd6B5IHtQflCBgIOwhCB9wH0gfwCB8IOQg0CC8IWQi+CTIJdQlkCRQIxAikCLwI6wkJCQUI7wjdCNoI4gjqCPEJAQkbCTUJQwlFCUsJZAmLCa0JvAm8CcEJ0wnsCf0KAAn6CfUJ9Qn8CgsKJQpHCmoKhQqaCqsKwAraCvcLEAsdCx4LGQsfC0ALgQvPDA0MIwwUC/cL6Av2DB4MTgx1DIUMgAx2DH0Mpgz1DVgNtA3vDgEN9Q3fDdIN1A3hDfEN+g33DegNzw21DaENmw2iDaoNqg2bDYENaQ1hDWwNiQ2pDcANyw3PDdcN5A3kDcMNeQ0VDLYMdAxUDEYMMAv9C58LGgqGCgUJqwl2CU0JHAjjCLcIqQi1CMoI2QjgCOMI6AjrCOoI5wjiCN8I2wjLCKAITwfeB2cHBAbCBpkGfAZkBlQGUQZYBmQGcAZ5BoAGhAaJBpIGoAa1BtAG8QcUBzIHUweKB+cIXQjICQUJEgkMCQ8JGwkhCRcJCgkACPYI3wi8CJYIdQhUCCoH9wfHB54HegdZBzwHKAccBxEHBQb8BvkG9wbzBu0G6QbkBtQGvAaoBqkGwAbgBvoHCQcUByEHMgdFB1YHXAdWB08HUQdaB1oHSgc6B0MHageUB6UHmweMB4QHeAddB0EHOwdEBzIG6QZ8BiQF/wX7BfAF0QWxBZ8FlAV/BWMFUQVQBVQFTQU7BSoFIQUWBQQE7wTeBNEEwQSsBJYEhARzBFwEQAQkBAsD8gPYA8ADqQOSA3MDUAMvAxUC/wLiAsACnQKAAmUCRwIpAg0B9AHbAb4BoQGGAXABWgFBASYBCQDsAM4ArgCNAGcAPQAQ/+f/wf+X/2T/Kv7x/r7+i/5U/h397P3E/Zr9aP0x/P780/ys/IL8WPww/Ar74Pu0+4z7bPtL+x/65fqr+oD6YvpE+hv55/mx+YX5a/ll+XP5iPmS+YP5VvkP+Lj4WvgE97/3i/db9yT25fao9nL2PfYB9cH1ifVf9Tj1C/Tc9MH0xPTZ9Oj04/TP9Lr0q/SY9HX0PvP787jzfvNN8x7y7/LE8qnyoPKe8o/yb/JI8ijyEfH18czxnfF88Xjxi/Gf8ZrxcfE08Pzw2/DK8LXwlPB58HnwivCO8HTwUvBN8GrwhfB68FHwMfAz8EbwSvA68CvwLvA48D3wPPBB8E/wWvBc8F7wa/B+8Irwj/CX8KnwvPDG8M/w5vEJ8STxL/E+8WfxpPHh8hnyafLZ8z3zWPMo8wDzRPQA9Nv1a/WX9ZX1o/XK9e31+/YB9hP2MPZF9kv2TPZX9m72hvaT9pX2lvae9q32uva39p72ffZo9nT2n/be9yD3W/eK96z3w/fU9+P38ff++A/4MPhh+JD4oPiE+E34HfgO+Cj4Xfie+N75FflA+WH5gPmp+ej6Q/q3+zj7sPwK/D38VPxh/Hf8oPzW/Q79Rf2C/c/+L/6Y/vz/Vf+rAAMAWQCiANsBEAFNAY0BxgH6AkYCwANZA9YEBQPoA7UDqgPaBC4EhQTTBR4FZAWcBcEF3QX2BggGCAXzBdwF3AX4BiAGRAZnBpoG5gdCB50H8QhGCJ4I8gkzCVoJbwl/CZUJtAneChUKVAqVCtILDgtJC4QLvgv3DDgMhgzRDP4M9wy/DHkMQgwSC8MLNQp8CeAJoQnACf8KFwn6CdgJ6AouCnUKjgp4CmEKcQqnCt0K8QrsCvULLwuUC/0MPgxNDEAMOgxLDGoMhAyRDJUMmAyjDLgM1QzwDP0M+gzvDOgM5QzdDNAMyQzSDOUM7QzpDPcNNw2iDgkOQA5ODmIOng7xDy4PQA87D0EPYA+KD64Pxw/ZD+cP+BAREDcQXhB6EIoQoRDPEQoRMBErEQQQ2hDAELkQuhC/EMkQ1RDcENoQ0xDPENQQ3xDtEPoRBBENER0RNBFJEVMRWhF0EasR5RH4EdcRpRGPEZARYRCuD18NoQu+CfQIegeNB2UIAwkYCjAK+QttC7QL6wwNDAkL4wuuC3ULLwrfCp8KlgrDCvIK2wpmCb8JLwjeCLoIngh6CFgIPggiB/UHuAd8B0wHIgbzBr0GjAZjBj4GFQXqBcEFlQVcBRYE1QSxBK0EtgSwBJIEaQRFBCcEBQPXA6QDewNgA0gDKAMAAtgCuQKgAoUCZgJFAiQCAAHVAaUBegFZAUABKQETAP0A4QC9AJYAegBwAHIAcABgAEoAOQAuACIAEQAB//j/8P/f/8L/ov+L/37/cv9j/1P/Sf9H/0b/Qf84/y3/IP8O/vj+4P7L/rz+rv6f/oj+aP5B/hr9+P3c/cL9qP2N/XH9V/1A/Sv9GP0E/PD83fzP/Mf8wfy4/Kv8nvyU/JD8jfyK/If8gvx4/Gv8XfxR/En8Qvw6/DH8KPwd/A77+vvm+9b7yvvA+7b7q/uf+5D7f/tx+2j7ZPte+1T7SftB+zz7NPsm+xf7DvsO+xD7D/sN+w37EfsW+xn7Hfsj+yr7Lvsv+zH7OftE+1L7X/tp+3D7c/ty+3L7d/t/+4j7kfuZ+5/7ofue+5r7nPuk+6/7t/u8+7/7wfvC+8T7x/vK+8v7y/vM+8/70/vU+9L70fvS+9X71vvV+9b72Pvc+9/74/vq+/P7+vv//AT8DPwT/Bb8Fvwa/CX8Mvw7/ED8RfxP/Fn8X/xj/Gr8dvyC/Ir8j/yT/Jn8nfyg/KL8p/ys/LD8svy2/L38xfzN/Nb84Pzp/PD89fz9/Qr9GP0k/S79Ov1E/Un9Sv1M/VT9Yf1s/XP9ev2E/ZD9l/2b/aH9rP24/b/9w/3J/dT94f3r/fP9+v4A/gT+B/4N/hj+I/4q/i3+Nf5D/lT+Yv5s/nb+gv6P/pz+rP7D/t3+8/8E/xX/KP89/07/Xv9x/4f/nf+u/7v/x//T/9f/0//O/9D/3v/w//4ABgAMABMAHAAoADMAPQBEAEoAUwBiAHIAfwCJAJUAqADFAOQA/wETASYBOwFUAXABiQGgAbYBzQHnAgUCJgJMAnYCnQK6AskC0gLjAwQDLgNXA3sDngPDA+MD/gQZBEEEdQSnBMwE6wUQBT0FagWRBboF6wYZBjcGQgZBBigF0QUtBIAEUAUBBnsIQQnaCyoMTA05DbINiAzlDC0LngsiCogJ1QlQCTMJbwm9CeoJ/AoSCi8KNgoTCdoJvwnpCk4KtgrnCsMKXAnhCXUJIQjVCIgIPQf/B84HoAdyB0cHJAcHBugGyAayBqoGqAakBpgGjAaFBoAGdwZnBlQGPgYmBg0F+QXrBd4FzQW3BaAFiwV2BV0FQQUnBRAE9QTSBKUEbAQnA9cDhgM8AvsCuwJ9AkkCKgIeAgwB3AGCAQQAdf/s/3f/Hv7b/qL+bP49/h7+Ef4N/gX97/3N/aL9bv05/Qr86fzZ/NH8zfzJ/Mr81Pzo/P79DP0H/On8vvyY/Iv8mvy7/N/8+P0C/QP9B/0X/Tj9ZP2Q/bX90/3u/gn+Kv5Y/pf+5P86/47/2wAdAE4AbwCEAJkAtgDaAP0BGwEvATYBLgEbAQYA/AD+AQYBDwEaASwBSAFqAZUByAH7Ah0CIgIQAfsB9gIAAg4CGAIkAjcCUAJoAoACmwK7At0C9wMLAx8DNwNSA20DhgOgA7oD0gPmA/oEEAQpBD4ETwRgBHEEgwSWBKoEvwTTBOUE9AUDBRUFKgU9BUwFWAVlBXYFhwWWBaQFsgXBBdIF4wXyBf8GDAYcBi8GQQZNBk4GSQZCBjcGJgYTBgUGAwYJBg0GCAX/BfkF+AX2Be8F5wXlBekF7gXxBfIF+AYABgcGCQYMBhcGKQY7BkYGSwZUBmQGdwaKBp8GuAbXBvYHDwciBzEHQAdOB1wHagd+B5wHxwf4CBwIHwgBB6QHvggACDwIRwguCC4IeQj+CW0JgAk0CMoIjAiUCMgI+QkJCPwI5gjbCN0I5AjoCOwI+gkUCS4JOgk5CUAJXgmNCbMJvwm3CbAJuwnSCeYJ7QnrCegJ6QnzCggKKApMCmsKgQqPCp0KrQrACtYK8AsLCx4LKAsvC0QLcguzC/QMGwwcC/8L3wvZC/sMOgx1DJQMkgyDDIUMqgz1DVgNvQ4NDjcOOw4mDgwN/A37DgYOFA4ZDg0N7w3MDbQNsA26DcUNxQ24DZ8NgA1jDVYNYw2CDZ8Npw2bDYkNew1kDTUM6gyYDFoMPAwyDCYMAgu7C1AKzApICeAJngl4CVUJKgj7CNgIywjSCOAI7wj7CQYJEgkdCSUJJQkgCRoJFgkMCOcImwgtB7YHTwcEBtIGrwaYBowGigaQBpsGqQa2Br4GwQbIBtkG8wcRBzAHTgdsB4sHtAf0CFUIxAkhCVEJXAlcCWUJcwl1CWoJXAlRCUUJKgkBCNQIrAiHCGEIPAgeCAQH6AfGB6YHjgd8B2wHXAdQB0oHRgdCBz4HOgcxBx0HAwb0BvoHFQczB0oHVAdZB2IHcweKB5wHngeVB5AHnge2B70HpQeGB4QHpQfHB8sHuQeyB8EHzQe2B4gHZwdfB0wHBgaZBjsGFQYYBhoGBAXkBc0FwQWvBZYFhAWBBYMFfgVvBWAFVQVIBTQFHwUOBQEE8ATaBMQEsgSgBIcEaQRMBDUEIQQKA/ED1wO8A54DfQNeA0UDLAMOAu0CzgKzApgCewJdAkECJwIJAekBzAG3AaYBkgF2AVgBOgEeAQEA4gDAAJwAdQBMACX//v/S/57/Zv8x/wH+0P6Z/mH+Mf4I/d79qv1y/T/9F/zy/Mz8o/x5/E/8I/v4+9T7t/uU+2L7I/rp+r/6ovqB+lP6Hvnv+c35ufmz+bj5wfnB+av5evky+N34g/gx9+/3vPeL91P3E/bX9qL2bfYx9fH1tvWI9WD1N/UO9PL06PTm9N70yPSs9Jb0kPSW9J/0mPR29Drz8POp82jzLfL48tTyxvLE8rrym/Jw8knyLPIQ8ezxwvGg8ZXxo/G68cPxqvFu8SHw4PCz8JLwc/Bb8Frwa/B08GDwO/Ao8DPwSfBK8DTwIvAo8DvwQ/A58CvwJvAo8CnwKvA28ErwWvBh8GjwePCN8JnwnPCj8LHwvPC78LvwzvDz8RTxIvEr8Uvxh/HM8gzyUfKj8ufy8/LM8rnzDfPL9KT1OPVs9W71dvWU9bP1xvXX9fP2FvYw9jz2Q/ZP9l32ZPZi9l32X/Zr9nf2d/Zk9kT2MfZA9nT2tvbo9v/3CPcb90L3d/en98f32ffn+AH4Lvhm+JH4mPh4+ET4HfgU+Cn4UviG+L748vkd+T35Wfl9+bn6FvqR+xb7ifvR++n74fvY++b8EvxU/J/86/07/Zb+Af50/uL/Rv+g//cARQCFALgA6QEjAV8BkAG7Af8CdgMPA5ADxAOwA4wDkQPJBBYEXgSgBOoFOQV3BZQFmwWhBasFqwWXBX4FegWVBcYF+gYuBmwGvwcgB4QH3wgxCHkItwjqCRUJOQlUCWsJhwmyCe8KMgpzCrEK8ws8C4ILugvrDCMMagysDMkMsAx2DDwMFgvrC48K8AowCZQJVAltCaYJxQm4CZwJlgmsCcUJzgnQCeoKKAp0CqYKrQqgCrILAguAC/YMNAwyDBMMAQwODC0MRgxTDFkMYAxsDHwMjwykDLMMtgywDKgMowybDJAMjAyYDK0MtAysDLUM+Q12DfgORA5RDlAOcA6yDu0PAQ74DvQPCw81D18Pfg+SD6QPuw/bEAIQJxBAEFIQbxCiENsQ/RD4ENYQtBCeEJQQjxCPEJsQrRC5ELkQsxCvELUQwhDREN4Q6BD0EQQRGREqETMRPRFbEY4RvhHHEaMRdhFkEVgRBhAiDqAMuArACQYHygdCB4cIbQmNCnwLDwtjC6QL3Qv4C+gLvAuQC2ULIwrECmkKRgplCpUKjQosCZMJBQiuCIcIcAhUCDQIGAf8B9YHowdtBz4HEwbjBq0GeQZNBioGCQXjBbYFggVGBQUEzQSrBKIEpASdBIIEXAQ1BBQD8QPGA5kDdQNeA0wDMAMKAuACvAKfAoUCaAJKAioCBAHYAasBggFeAT8BJAEQAQAA6wDIAJwAeABpAGoAagBdAEoAOgAwACUAFgAKAAT//v/s/8z/qP+M/3n/af9W/0P/Nv8u/yf/Hv8W/xD/Cf7+/uz+1/7E/rb+qv6a/oL+Yf46/hT99P3Y/b79o/2I/W39Uv03/R79B/z0/OL80vzE/Ln8sPyl/Jj8i/yB/Hr8c/xu/Gn8Zvxh/Fn8TvxD/Dn8MPwn/B/8GvwV/Ar7+vvo+9n7z/vH+8D7ufuv+6D7kPuD+3v7dvtu+2L7VftO+0n7QPsx+yT7H/sg+yL7IPsd+x37Ifsk+yb7Kvsz+zz7Pvs8+zz7RftT+2L7bPtz+3f7eft6+3z7gfuH+4v7j/uV+537o/uk+6T7pvut+7b7vPu/+7/7vvu++8D7xfvJ+8r7yPvF+8b7y/vO+837y/vM+8/70vvS+9P71vvZ+9z73/vj++n77/vy+/f7/vwG/Az8D/wT/Br8JPwr/DL8OfxD/Ev8UfxY/GP8cfx9/IP8hvyL/JH8lPyU/Jb8mvyf/KH8ovyl/Kz8tfy+/Mf80vzc/OH85vzt/Pn9Bv0S/Rz9J/0y/Tn9O/09/UX9Uf1d/Wb9bv16/YX9i/2O/ZP9n/2r/bP9tf26/cb91P3e/eX96v3v/fP99f35/gH+Df4X/h/+KP4z/j/+Sf5R/lz+av54/of+mP6u/sf+3P7t/v7/E/8p/zv/TP9g/3j/j/+i/6//uv/E/8j/xP/A/8L/zv/d/+r/8v/3//4ABwASAB4AKgA0ADwARgBTAGEAawBzAIEAmQC6ANkA8AECARUBLgFJAWEBdwGOAagBxwHoAggCKQJMAnACkwKvAsMC1QLvAxMDPANiA4QDpgPJA+gEBgQpBFkEjwS/BOEFAAUnBVUFgAWkBcoF9wYiBj0GRwZHBioFywUcBGYELQTRBjsH8wmNCu4MJw0kDaINdQzMDBALggsLCncJyAlACRwJUwmkCdsJ9woTCjUKQQoiCesJ0An+CmkK0QryCrIKNAm2CV4JIgjjCJEIPAf5B8oHogd2B0wHKQcLBuwGywawBqQGoQaeBpUGjAaHBoQGgQZ8BnUGaQZWBj4GJgYTBgAF7AXVBcAFrAWTBXIFTgUuBRQE+QTTBKEEYgQaA8wDgAM4AvICrAJuAkQCOAI7AioB5wFrAMwAK/+l/0b/Cf7e/rb+iv5j/kr+Qf4+/jP+HP37/dP9pP1x/T79FPz1/OH81PzO/ND82/zu/QT9E/0P/Pf80/y0/Kr8u/zd/P/9Ff0Z/RL9Df0W/TH9Vv17/Zv9uf3V/e7+Cf4w/m3+vv8W/2f/rP/oABwARgBjAHUAhACVAK4AzgDyAQ8BGQEQAQIA/gEIARYBIgErAToBUQFxAZoBzQICAicCLQIcAggCAwINAhwCKAI3Ak8CawKHAqICwgLnAwoDIgMxA0EDWQN2A5QDrwPKA+YD/wQTBCQENwRNBGMEdQSGBJYEqAS8BNIE6AT8BQ0FGwUrBT4FUAVfBWoFdAWDBZQFpQW0BcEF0AXiBfUGBwYWBiEGKwY3BkkGWQZfBlsGUgZIBj8GMQYeBg4GCgYQBhQGDwYEBf0F+wX7BfcF8wXzBfgF/QX/BgEGBQYIBgYGAwYGBhUGKgY4BjwGQAZMBmAGdQaHBpsGtwbcBwAHHAcuBzoHQwdRB2QHfgecB7sH2QfyB/gH4Qe6B6IH1QgaCEEIMggOCB4IhAkRCWQJSQjiCIUIcQieCNsI/Qj+CO4I3wjZCNkI3QjhCOcI9QkMCSQJLwkxCToJWAmFCagJsAmkCZsJpAm6Cc4J2AnaCdsJ4AnuCggKKwpOCmcKdgqBCpAKnwqsCrkKzwrvCxILLAs6C0cLYwuVC9UMDgwnDBcL7gvRC+IMIQxtDKEMsQytDLAMygz8DUMNmQ3zDj0OZQ5mDk8OMg4eDhoOHw4hDhAN6g28DZ4NmA2jDa0NrA2iDY8Ncg1MDS8NLg1KDWoNcQ1YDTANCAzfDKoMbAw4DCEMHwwcDAALwgtlCvMKewoQCcAJjglqCUgJIgkACOsI5QjpCPQJAwkVCSgJPAlTCWoJeAl6CXQJbQleCTYI5wh3B/4HlQdEBwwG5gbQBscGxwbMBtYG5QbzBvsHAAcNBygHTQdzB5IHrgfKB+kIEAhOCKgJEgluCaYJvAnECcwJ0gnMCb0JrwmkCZMJdAlICRoI8wjRCLQInQiLCHcIWgg2CBUH+wfnB9UHwwe1B60HpQebB5EHiQd+B2oHUwdHB08HZQd+B5AHmgegB6kHuAfPB+EH5QffB+QIAQgkCCoIAwfTB8YH5QgECAAH5AfeB/wIFQf7B7QHdAdZB0gHEQazBlwGOgZFBk8GPQYaBf8F8AXhBcwFuQWzBbQFrgWhBZIFhQV2BWEFTAU9BTEFIgULBPQE3wTLBLMElwR9BGoEVwQ/BCIEAwPmA8kDqwOPA3QDVwM4AxgC/QLmAs0CsAKSAnUCVwI1AhMB9gHkAdYBwgGlAYYBagFQATMBEgDwAM8ArgCJAGEANgAJ/9j/pP9y/0L/EP7b/qX+dv5M/iD97P22/YT9XP05/RT87PzD/Jb8Zvw5/BX7+fvW+6P7Y/sp+wD63/q6+on6Vfos+hP6BvoA+f/5/vnx+c/5lvlM+Pv4rPhm+Cv3+ffF94z3TvcU9uH2sfZ89kT2EvXq9cj1qPWJ9Wv1T/Uv9Qf02fSr9IX0cvR59JX0sfSx9Iv0TfQN89Tzn/Nq8z3zJPMa8wry5vK28ozyc/Jg8kPyGfHs8c7xy/He8fHx5/Gv8VLw8PCm8HXwU/A88DjwR/BU8EfwJPAH8AfwHfAu8CzwI/Aj8C3wNPAx8CrwJvAi8B3wHvAr8ELwV/Bk8HHwhvCc8KjwqfCt8Ljwv/C58LLwvvDh8QTxFPEc8TbxbvG08fjyOfJ58qXypvKI8ony7POu9IT1G/VZ9WL1aPV99Zb1qvXA9dz1+fYQ9h/2LfY69j72MvYg9hj2IvY19j32LvYN9fP1/vY69pX24Pb69uT2xPbG9vj3QveG97H3yPfe+AH4M/hn+If4h/hp+EH4Jfgd+Cn4Qvhl+JD4wPjt+RL5MvlW+Y/56vpl+ur7V/uO+477cftc+2b7kvvW/Cb8fvzf/Uv9xP5E/sH/NP+Y/+8ANgBuAJsAyQD9ATMBYAGLAdACRALWA1IDiAOCA3MDiQPHBAsEQwR7BMMFFAVOBV0FUAVEBUUFRAU0BR0FGQU2BW4FsAX0BkIGngcFB2wHxwgOCEIIaQiSCMYI/gkrCUgJYQmLCckKDgpLCoQKxwsSC1cLhgurC9wMHAxRDFgMLgv1C9ALvwuWCysKfAm7CS0I+gkVCUwJbwlwCWAJWAlfCWkJcAl/CakJ8go+CmgKZgpWCmsKwAtAC7EL5QvdC8MLvgvWC/cMDQwWDB4MKww5DEUMUQxjDHQMfAx3DG0MYwxbDFMMUwxlDH8MjAyGDI4M0Q1VDeYOPg5JDjQOOg5qDqIOuw6zDqoOvA7pDxsPQg9bD3EPig+qD8wP6Q/+EBMQORByEKsQyhDFEKsQkhCBEHQQZxBiEGsQfBCKEJAQkhCYEKUQshC9EMcQ0hDfEO4Q+xEHERIRJRFIEXURlRGTEXIRUBE+ERgQmA9/DdIL0gncCEQHTAcgB7cIyQnhCqsLGQtZC5cLzwvkC8sLmgtvC0sLEwq6ClQKDwoAChEKCwnLCVkI3wiGCFgIQwguCBIH8AfQB7AHiwdgBzEHAQbRBp0GagY7BhYF9gXTBaUFbAUuBPEEwQSjBJcElASKBHEESwQlBAMD4wO/A5cDdANbA0cDLwMMAuMCuwKZAnwCYwJKAi0CCQHdAbABiAFlAUMBJQEQAQMA8gDSAKUAfgBrAGoAaQBeAEwAPAAxACYAGwARAAwABP/w/9D/rf+R/3v/Zv9Q/zv/LP8g/xT/B/77/vT+7/7m/tj+yf69/rT+q/6d/oP+X/41/g797v3U/br9nv2C/Wn9T/0z/RX8+vzl/NT8xfy3/Kr8nvyT/Ib8evxv/Gf8YPxa/FT8UPxL/EX8Pfw2/C78Jfwb/BP8D/wL/AX7+fvq+9371PvN+8f7wfu3+6n7mfuM+4X7fvtz+2T7V/tQ+0z7Qvs0+yn7J/sr+yz7Kfsm+yf7Kvsq+yv7MPs7+0X7SftH+0n7U/tg+2j7avtq+277dvuA+4n7kPuV+5X7lfuZ+6D7qfuu+7L7tvu9+8T7yPvI+8b7w/vA+7/7w/vI+8r7xvvA+7/7w/vH+8j7xvvG+8r7zvvQ+9H71fva+9373vvf++L75vvq++778/v5/AD8B/wN/BL8F/wd/CT8Lvw4/D/8RPxL/Ff8Zvxy/Hj8fPyD/In8i/yK/Iv8kPyV/Jf8mPyb/KL8q/yz/Lv8xfzQ/Nj83vzk/O789/z+/QT9Dv0b/SX9K/0v/Tf9Q/1O/Vf9X/1q/XX9e/1//YX9kP2b/aD9ov2n/bP9wf3K/c/91P3a/d/94v3k/ev99v4C/g3+GP4j/iz+NP48/kj+Vv5l/nP+g/6Z/rH+xv7Y/ur+//8W/yr/O/9P/2b/ff+P/5z/pv+v/7L/sP+v/7T/wP/N/9X/3P/j/+v/9P/9AAYAEgAeACkANABAAE0AVwBjAHUAkgCyAM4A4QDzAQsBKAFEAVoBbQGFAaQBxwHpAgoCKQJJAmgChQKeArUCzwLvAxQDOwNhA4QDpgPIA+oEEAQ9BHMEqATSBPAFDAUvBVkFfwWiBccF8gYZBjAGOgY6BhwFtgUBBEcEBgSbBe8HlQksCpUL2AzbDV8NQgyvDAULeArzCkoJhwjtCLgI4gkvCWwJmAnLCggKMAojCe4JyQnmCkYKqwrLCooKDgmbCVIJIQjjCIoILwftB8YHpQd9B08HJgcGBucGxgaqBpoGlgaWBpUGlAaVBpYGlQaRBooGfgZuBloGSAY1Bh4GAQXlBc4FuwWhBXsFTwUoBQoE7ATEBIsESAQBA7wDeAMyAuQClgJYAjwCQgJPAjUB2gFFAJkAAP+R/03/JP8C/tz+sv6P/nn+b/5k/lD+M/4U/fP9z/2j/XP9RP0d/QH87/zl/OX87Pz8/Q79G/0a/Qj87PzT/Mr81fzt/Qn9Gv0c/RT9D/0Y/TD9Tf1o/X/9m/27/dz9/v4q/mr+vP8O/1H/gf+p/9QAAAAnAEIAUQBbAGcAfgCgAMUA4ADsAPEA+gEMASEBMQE9AUwBYAF7AZ0BywH8AiMCMAInAhgCFQIhAjICRAJYAnMCkQKsAsgC6QMQAzEDRgNSA2EDegOaA7kD1APwBA0EKAQ8BEsEWwRvBIcEnAStBLwEzATgBPUFDAUgBTAFQAVSBWUFdgWDBYwFlwWmBbYFxQXSBd8F8AYDBhcGKQY2Bj8GRQZOBlsGZwZpBmEGVQZOBkoGQgYyBiEGGQYaBhsGFAYLBgUGBQYHBgUGAgYCBgUGBwYHBgYGBgYEBf4F+gYABhIGJAYuBjEGOwZRBmwGggaSBqcGygb4ByIHPAdDBz8HOgdDB2MHkge+B9QH1AfIB7gHpQeXB9QH+wgYCBQH7wfVCAIIeQj0CRsI2QhzCEIIYwitCOUI9QjtCOMI3QjWCNEI0gjaCOQI8QkCCRYJJAkqCTIJSAlpCYMJiQmBCX4JiwmiCbUJwQnHCc4J2AnpCgYKKgpKCl0KZgpyCoQKlgqgCqUKsgrPCvULFAsmCzALQQtmC6IL6gwhDCwMDQvlC94MCwxVDJUMuAzIDNUM5Qz5DRUNTA2kDgsOYA6IDoAOWg4vDhEOAg33Dd4NsQ18DVgNTg1SDVINTA1HDUYNPQ0kDQYM/Q0RDS0NNA0ZDOoMtwyDDE4MHgwEDAUMDgwBC80LdgsMCp4KOAnjCaUJeglXCTYJGQkHCQAI/gkACQgJGwk0CVAJcAmWCb8J3AnlCdwJyAmqCXQJHAipCDIHzAd+B0YHIQcMBwUHBgcMBxYHJAcwBzcHPwdTB3gHpAfLB+sICAglCEAIXQiKCNoJRwm3CgsKOApJCkkKQAovChsKCwn8CeUJwQmVCWoJRgknCQ8I/QjsCNYItgiTCHUIYQhPCDwIKwggCBcICgf5B+gH2wfPB70HqQedB6IHswfHB9gH5gfwB/kICAgfCDMIOQg2CEAIZAiLCIwIWggfCBMIPAhlCFwIMAgYCCsIPwgcB8QHcAdKBz4HGgbOBoUGagZ3BoIGcAZLBi8GIgYXBgUF9QXtBesF4gXQBb0FrwWgBY0FegVsBWIFUwU9BSMFCwT3BOEEyQSzBJ8EiQRuBE4ELwQSA/YD2QO8A54DgANhA0QDLAMXAwAC4gLDAqQChQJjAkACJAITAgQB7wHSAbQBmwGDAWYBRQEkAQYA6QDFAJoAbgBBABT/5P+y/4D/Tf8b/ur+vP6Q/mH+Lv37/c39pP1//Vn9M/0L/N78qvx4/FH8M/wS++L7pvtr+z77GPrv+r/6kfpv+lv6UPpL+kj6Qfor+f75u/ls+R341viY+GL4L/f597/3g/dL9xr27Pa99o/2Y/Y99hv1/fXh9cP1nPVs9Tf1AvTQ9J/0dvRj9G30hPSO9Hz0W/Q+9Cf0B/PX86Tzf/No80/zJPLz8tDyxPK98qfyefJB8hHx/PIC8hPyDvHa8XnxCvCw8HXwTfAu8B/wJvA08DPwGO/77/fwEfAx8D/wOfAs8CTwIfAh8CLwJPAh8B3wHvAr8EHwVfBl8Hbwj/Cm8LDwsPCy8LvwwvC88LPwufDS8PDxAvEM8SXxWfGe8ebyKvJm8onyhPJt8oLy9PO79I31IPVe9Wz1cvWB9ZT1pfW29cj11/Xh9e72APYQ9g719/Xd9dT14/X39fj13vW99bf15vZH9rP29vbz9r/2j/aT9tP3Lfd696n3xPff+AX4Mvhb+HP4c/he+EL4LPgi+Cb4M/hJ+Gn4kvjA+Oz5FPk6+W35wPo2+rn7H/tI+zf7D/r5+wj7Nvtz+7v8FPyB/P79hP4L/pD/Cv92/88AFgBPAH4AqwDaAQkBNQFmAbICJgKvAyADWANgA2YDigPJBAYENgRnBKgE7AUUBQ8E8gTcBNcE1QTHBLgEvgTkBSMFbAW5BhAGcgbaBz4HkwfSB/oIFAg5CHYIwQkBCScJQwltCasJ7wonClgKkQrRCwcLJQs8C2QLmwvCC7oLjgtkC1gLUgsdCpkJ2wknCLgIowjMCQMJJAkmCRsJGgkqCUEJUQleCXoJswn2CiMKJwoXCh8KXAq/CxgLQwtIC0sLaAuXC78L0QvYC+ML9wwIDBMMHgwwDEUMTwxHDDcMKQwhDB0MJAw8DFwMbwxsDHMMsg01DcoOKQ4yDg8N/w4gDlcOdg5yDmYOcQ6cDtMPAw8kDzwPVg9zD5APpw+5D9MP/xA5EG4QiBCDEHAQXhBTEEkQQBA8EEMQUBBcEGYQdRCKEJ8QqRCsEK4QtxDEEM8Q2BDlEPwRHRFDEWMRbRFfEUQRMREeEN0QKw7fDQ4LAgkcB7IHAgciB+4JCgoNCrgLEwtOC4kLvQvMC7ELfwtRCykK9gqqCkoJ8Am4CacJpgmPCUoI4gh7CDgIGwgMB/QHzAelB4gHbwdNBx0G6Aa2BogGWQYrBgEF3wW+BZIFWQUaBOIEtwScBI4EhQR3BF0EOgQVA/cD3AO/A5sDdANUAzsDJAMHAuICuQKQAm8CWAJGAjICEwHpAbsBkQFrAUcBJwESAQUA9QDWAKsAhABwAGwAawBiAFEAQAA0ACgAHQAVAA4AA//t/87/r/+U/33/Zv9O/zr/LP8f/w/+/f7t/uH+1v7K/r7+tP6u/qz+qf6e/of+Yv42/g397P3S/bj9nP2B/Wn9Uv03/Rf8+Pze/Mr8ufyp/Jv8kPyF/Hn8bPxg/Ff8UfxM/Ej8Q/w+/Df8Mfws/Cj8IfwW/Az8BPwA+/r78vvo+9/71/vP+8f7vvuy+6X7lvuK+4D7d/tr+1z7UftL+0b7Pfsy+yv7LPsw+y/7K/sp+yv7L/sw+zD7NftB+0v7T/tR+1b7Yftn+2T7Xfta+2T7dfuF+5H7mfud+5/7ovun+6/7t/u9+8D7xfvL+9H70vvR+8/7y/vG+8P7xPvJ+8z7yfvC+777wPvD+8X7xPvE+8f7yvvM+8370fvW+9r72vvY+9r73/vk++j76/vv+/b7/vwF/Ar8DPwP/Bf8JPwv/Db8Ofw//Ev8Wfxk/Gv8cvx5/ID8gfx//ID8h/yO/JL8k/yY/J/8p/ys/LP8vPzI/NP82/zi/On87/zy/PT8/P0I/RX9Hv0l/S79Of1C/Uj9Tf1W/WD9af1x/Xn9hP2O/ZL9lP2Z/aP9sP25/b79xP3L/dH90/3V/dr94/3u/fr+Bv4S/h3+J/4x/j7+TP5Y/mP+cf6G/p/+tv7J/tr+7v8D/xf/Kv8//1X/af94/4P/jf+W/5r/mf+b/6P/sf+8/8P/yP/R/93/5v/s//L/+gAGABQAIQAuADoARgBUAGoAiACoAMEA1QDqAQgBKAFDAVgBbQGIAagByQHmAgQCJQJFAmECdwKNAqcCxQLoAw4DNANcA4IDpgPIA+sEFARCBHQEpATLBOwFCgUsBU4FbgWNBbEF2QX7BhEGHwYiBgAFlATdBCQD5ARxBbYHUgjlCkoLgQx2DP0M/wycDBMLggrYCgIJHghyCDIITgiPCMkJAQlPCbEJ/goNCeIJsgm9CgwKbAqUCmQJ/AmUCUwJFAjNCHEIGQfeB74Hogd4B0YHGwb6Bt0GvwakBpMGkAaVBp0GqAaxBrcGtQarBpsGhwZ0BmUGWgZMBjAGCwXmBc4FvQWlBX0FTAUfBP0E3gSzBHkENQPyA7UDeQMzAuACjgJVAkcCWgJlAjkBxQEfAHb/8f+c/2r/Rv8g/vX+y/6q/pX+hP5v/lL+Mf4U/fz94f29/ZH9ZP09/SD9DPz//Pn8/f0J/Rv9Kf0r/R79B/zv/OD83vzq/P39Df0U/RP9E/0g/Tf9Tv1d/Wv9gv2n/dT+A/44/nz+zP8V/0f/Y/92/5D/tP/dAAIAHQAuADgARQBdAIAApADBANQA5AD4AQ4BIwE4AU8BaQGEAaIBxgHxAhYCKwIuAioCLQI7AlACZgKAApwCuALRAuoDCQMtA0wDYANtA38DmwO8A9oD9gQUBDUEUgRmBHMEgQSVBK4ExQTYBOcE9QUHBRwFMgVFBVUFZQV3BYsFnAWpBbQFwQXPBd0F6QX0BgEGEwYlBjcGRgZQBlYGWAZcBmMGawZrBmIGWQZXBloGWQZNBjwGMAYqBiYGHgYVBhEGEwYTBg8GCQYGBgYGAwX/Bf0F/gX9BfoF+gYEBhUGJAYtBjYGSwZrBocGlwakBr4G7QckB00HXgdWBzwHIwchB0UHhAe5B8gHsgeVB40Hmwe0CBgIEwf7B9cHtQe9CA0IiwjmCNwIfQgiCBgIXQixCNwI3wjZCNsI2wjRCMUIxQjTCOMI7gj5CQsJHQknCSoJMglDCVIJWQlbCWQJeAmPCZ8Jqgm0CcAJzwnhCfwKHQo6CksKVApiCngKjAqUCpUKnAqyCtAK6gr6CwMLDwsoC1oLpgv2DCcMJAwAC+gL+wwzDHAMoQzGDOUM+Qz5DPANAw1KDbwOLg5zDngOSQ4GDc0Nqw2WDXwNUA0cDPcM5QzdDM0Muwy3DMcM2gzbDMsMwAzJDNwM4gzPDKoMfQxMDBsL9gvrC/UL+QvZC44LKAq+ClwKBwnCCZAJbAlOCTQJIwkeCSAJIQkiCSsJQwlmCYwJtgnoCh0KRQpQCj4KGwnqCaIJPwjKCFcH+AexB34HWwdIB0IHRAdLB1YHYwdsB3IHfwebB8UH7wgSCDAIUQhzCIsImAiyCPoJcwoCCnoKwQrYCtEKvAqiCooKdApcCjwKEgnlCbwJmAl3CV0JSAk1CRwI/AjfCMsIvQitCJkIiAh+CHYIZwhSCD4IMQglCBMH/gfyB/YIBQgYCCoIOghHCFIIYgh7CJIIlwiQCJQItAjcCNwIpwhpCGEIlAjFCLoIfAhICEIISgglB84HdwdOB0MHKAbrBq8GmgalBqwGmAZ2Bl8GWAZRBkMGNAYsBicGGAYABekF2gXOBcAFrgWeBZIFggVqBVAFOAUkBRAE+gTiBMoEsQSVBHcEXARCBCYEBgPmA8cDqwOPA3UDXgNIAy4DEALuAs4CsAKQAnACVQJCAjECGwH/AeQBywG0AZcBdgFXATwBIQD9ANIApQB7AFIAJf/x/7v/if9b/y//Af7R/p7+bf4//hT97P3D/Zv9dv1Q/ST87vy4/I38bfxO/CL76Pur+3X7R/sf+vf61fq7+qj6nPqT+oz6gPpk+i/55vmU+UX5APjE+I/4Wvgj9+n3sPd690n3Gvbt9sH2lvZs9kH2HPX89dz1s/WC9VL1KvUG9Nn0pPR19Fr0UPRE9DH0IPQd9B/0DvPh86nzfPNf80LzGvLx8tzy3fLd8snynPJl8jbyGvIR8g/yAfHQ8XzxG/DK8JHwZPA68BrwFPAg8CjwGfAC7/3wGPBC8FzwWfBD8CvwHfAY8BnwG/Ac8B3wJfA28EnwWPBk8HXwj/Cq8LjwufC48L3wwvC/8LnwvPDN8OLw8fD/8RrxS/GP8d7yL/J18pfyjfJ28pTzFPPf9Kr1MfVo9XT1e/WK9Zj1ofWn9av1qfWn9a31v/XR9dH1uvWh9Zr1pfWw9aX1ivV49Y/12/ZH9qn21fa/9of2Y/Z59sb3Jfdz96T3wffc9/34IfhD+Fv4YvhX+EH4Lfgi+CP4Lfg8+FH4cfid+ND5APkq+Vr5pfoU+pL68PsL+ur6ufqo+sH68/st+277yPxA/Mr9Vf3Y/lP+yP8z/4//3QAgAFoAjQC7AOQBDgFGAZkCDQKPAvoDNwNNA18DhAO5A+0EGARGBHwEqwS7BKYEhARvBGsEZwRcBFgEbwSlBOsFMwWABdgGOQadBvoHTAeKB7AHyQfrCCsIgQjPCQMJJwlUCZMJ1QoKCjYKaAqdCsYK2AriCvkLHAsvCx4K/QrvCvgK7gqcCfgJMwiUCEwIVwiSCMwI5gjdCMoIzQjzCSUJRQlGCUQJXwmcCdkJ8gnlCdcJ6QoeClgKgQqgCs0LDgtSC34LjguVC6ULvQvSC94L7AwDDBsMJAwZDAQL9AvtC+0L+QwVDDgMTQxLDE0MhQ0DDZsOAg4SDeoNzA3gDhIONQ40DiEOIA5BDncOrA7SDu0PCA8nD0gPYw97D5gPxA/6ECcQPBA5ECwQIhAcEBcQFhAdECoQNhA+EEcQXBB6EJEQlxCSEI4QlBCgEKkQtBDJEPARHxFEEVERRRErERgREBD7EJ4Pvg5FDFcKSAh/B1AG7QdPCDcJRgomCrULCAtFC3oLoAunC44LZAs0CwEKygqGCjMJ2AmNCWwJdwmHCWcJBgiGCCMH+AftB9oHsQeDB2UHUwc3BwUGygaXBm8GRwYbBe8FygWoBX0FRgUKBNUErwSWBIYEdwRmBEsEKgQHA+sD1QO8A5kDcANJAysDFQL+At8CtwKLAmUCTQJCAjcCIQH7AcsBnAFxAUoBJwEPAQAA8ADTAKwAhwBxAGsAaQBiAFUARgA4ACkAGgAPAAb/+v/m/8v/r/+U/3v/Y/9N/z3/MP8j/xD++/7n/tX+xP60/qf+oP6d/p3+nf6Y/of+af5A/hf99f3Z/b79of2F/W39Vv08/Rz8/Pzf/Mj8svyf/JD8hvx+/HL8ZPxW/Er8Q/xA/D78PPw2/C/8KPwk/CL8HPwS/AT7+fvy++376Pvj+9771/vN+8H7tPup+5z7j/uD+3j7bvth+1X7TftI+0P7Ovsy+y/7Mvs2+zX7L/st+zL7Ofs9+0D7RvtO+1X7VvtZ+2H7avts+2P7Wftc+2z7gvuR+5f7mfud+6T7rvu4+8H7xvvF+8X7x/vM+9D70fvQ+8/7zvvL+8f7x/vL+9D7z/vI+8L7wfvD+8T7xPvD+8X7x/vI+8n7zPvR+9T71PvS+9L71/vd++L75fvo++379Pv7+//8APwD/Av8GPwl/Cz8MPw2/EH8T/xZ/GD8Z/xu/HP8dPxy/HX8ffyH/I38j/yT/Jr8ofyn/K38t/zE/M/81/zf/Ob87Pzv/PD89v0C/Q/9GP0f/Sj9Mv06/T79Qf1H/VH9Xf1o/XP9f/2J/Y79j/2S/Zv9pf2v/bf9vv3G/cr9zP3N/dH92f3j/e79+f4G/hL+Hv4q/jn+Rv5P/lb+Yv52/pH+q/6//s/+3/7v/wH/F/8v/0b/V/9h/2n/c/9+/4T/hf+I/5L/of+t/7P/uv/E/9H/2//f/+L/6f/1AAQAEwAiAC4AOQBHAF0AewCaALUAzQDoAQcBJgFAAVYBbgGNAawBxwHfAf0CIQJEAl8CcgKGAqMCxQLpAwwDMANXA30DoQPCA+MEBwQtBFQEfASmBNEE+QUbBTcFUAVtBZEFtgXWBfAGBQYMBeMFbASuA/sDxARUBZcHMAjAChYLLwwGDI4MugyVDDALkAqwCaIIowf5B8IH3QgRCD8IeQjaCVsJygn1CdoJrAmsCesKQAprCksJ8wmRCT4I9QilCE0IAgfRB7MHkwdnBzcHDwbyBtgGvAaiBpQGkwaeBq4GvwbMBtMG0AbDBqwGkQZ6Bm0GZQZXBjgGDQXmBdAFxAWwBYgFVAUiBPwE2gSwBHYENAP0A7oDgAM7AukCnQJwAm8ChQKEAkEBtwEKAGr/9v+v/4H/WP8s/v3+0/6y/pj+f/5i/j/+Hv4E/fH92/29/Zf9cP1P/Tb9Iv0R/Qb9BP0N/SD9Mf03/S79Gf0B/Oz84fzh/O38/v0L/RP9G/0q/UD9U/1d/WX9d/2b/cv9//45/n/+zP8Q/zv/T/9X/2T/ev+b/8L/6QAIABwAKAA5AFYAeACWAKoAugDMAOQBAAEfAT8BYgGEAaQBxgHsAhICLgI8AkMCSwJaAm4ChgKhAr0C1gLsAwIDHQM9A1sDcwOGA54DvAPdA/wEGQQ6BF4EfQSSBKEErwTCBNoE8QUFBRYFJgU4BUwFYAVzBYMFkgWiBbMFwwXQBd0F6gX3BgEGCgYUBiIGMgZBBk4GWgZkBmkGagZqBm4GcwZ0Bm8GaQZoBmwGbAZhBlEGQwY5BjAGJQYcBhkGGQYWBg4GBQYBBf8F/QX5BfkF/QYCBgQGCAYTBiIGLgY5BkkGZgaFBpkGoQauBtEHBwc6B1kHXgdQBzQHFgcIBx4HUgeAB4wHfQd4B5gH0ggECD0ICAfRB64HrAfeCEoIxQkGCNwIbQgVCBYIXQijCL4IvQjACM8I0wjDCLAIsgjHCNsI5AjuCQEJFwkjCSEJHQkjCS4JOAlDCVUJbAmBCY4JlwmkCbUJxQnVCeoKBQofCjMKQQpUCmsKfgqECoQKigqbCrAKwQrOCtkK4grvCw8LUguwDAMMJAwTC/cL9QwXDEkMegysDOANBA0HDO8M5Q0RDXMN4g4qDi0N9A2iDVsNMg0gDQwM5wy4DJAMdgxfDD0MGQwKDB0MQAxYDFsMWAxcDGgMbwxnDFQMOQwWC/IL2gvZC+ML2gunC0wK4Qp+CigJ4QmoCYEJaQlYCUoJRAlHCU8JUwlXCWUJhAmtCdoKCgpCCn0KpwqwCpYKZQojCc0JYAjpCHoIIgfiB7QHlAeDB34HgQeIB5MHngemB64HvwfhCAsILghGCGEIhgiuCMUIxwjXCR4JqApSCucLQAtcC1ILOAsbCwAK4wrACpQKZAo1CgoJ4Qm7CZsJhAlxCVsJQQksCR4JEwkACOgI1QjMCMUIuAijCJEIhgh6CGcIUghHCE0IXwhzCIUIkwieCKgIugjXCPII9gjmCOAI/AkoCTEJAAi9CKgIzwj5COkInwhaCEUISQgwB+kHmQdrB1gHPAcLBtwGzAbUBtMGvQaiBpUGlQaRBoIGcgZqBmIGUAY0BhsGDQYFBfgF5QXQBb8FrAWVBXsFZQVSBT4FJgULBPAE1QS7BKMEjAR0BFUEMgQQA/QD3QPFA6oDjwN0A1kDOQMXAvYC2QK8Ap8ChAJvAlwCRwIuAhMB+wHiAcUBpQGHAW0BUgEvAQYA3QC3AJAAYgAs//X/xf+b/3H/Q/8P/tr+qv6A/ln+L/4D/dj9sf2N/WP9MPz6/Mv8qPyJ/GD8Kfvo+6n7dftP+zP7H/sM+vr65vrV+sX6sfqM+lP6Cvm7+XD5LPjw+Lr4hfhP+Bf34fet93v3Svcc9vD2xfaY9mj2PPYW9fL1yPWX9Wv1TPU09RT04/Ss9Hv0UfQn8/7z4PPW89HzufOG80vzIPMG8u/y0fK38q/ytfKy8pnycPJL8i/yF/H78dvxtvGG8UnxCfDV8K3wh/Bb8DLwIPAl8C3wI/AN8AbwHvBI8GjwbPBY8D/wLfAj8B3wFvAU8BnwKfA+8FHwXfBm8HnwmfC98NTw2fDS8Mrww/C+8L3wxPDR8N/w6/D88RzxTfGR8efySfKf8sbytPKS8q3zMPP+9MT1P/Vr9XP1fPWN9Zj1mPWR9Yf1e/Vw9W71e/WL9Yz1fPVp9WP1Z/Vj9VD1O/VB9XL1x/Yl9mn2fvZp9kf2QfZq9rn3EfdY94j3p/fA99v3+fga+Db4RfhB+DD4H/gZ+B/4K/g1+EH4V/h++LT46fkY+Uj5kPn8+nX6y/rY+qb6a/pZ+nn6tPry+zb7lvwY/Kj9Lv2i/g3+dv7f/0D/mP/nADAAbgCeAMQA6wEiAXgB6wJqAtYDGwM6A0sDYQOCA6cDzgP6BCYEQwRDBCoEEQQIBAoEBwQBBAsENQR5BMMFCAVOBaAF/AZXBq0G+wc9B2sHhweoB+UIPAiUCNUJBQk3CXgJugnxCiEKVAqKCrMKwgrDCsQKxQq5Cp8KjAqUCqMKhAoPCVQIlQgWB/EIFAhYCJMIqQiXCH4IiwjQCSkJWglJCRoJDAk8CYgJuQm3CZoJjAmcCcAJ7AokCnEKyQsTCzsLRwtPC2MLfguTC6ILtgvTC+4L9wvpC9MLxAu/C8IL0AvvDBUMKgwjDBoMQgyzDUsNwA3jDcQNoQ2nDdAN8g3zDd0N0g3pDhoOTw51Do4OqQ7PDvwPJQ9GD2QPig+4D+AP+RAAD/0P9w/wD+oP7A/7EBAQIBAnEC8QQRBbEG4QchBuEG0QdRCAEIkQlxC2EOgRGxE4ETMRFxD7EO4Q6hDFEEUPOA2XC5cJlAf5BxUHAwegCJcJiAo9CrILAQs/C2sLfAt1C2ELRQsaCt4KmQpVCgsJtwlnCT8JUQl6CXMJFwiGCAoH0gfLB8IHnAdsB0sHOgcgBu4GsQZ9BlgGNwYOBeEFuAWSBWYFLwT3BMcEpgSOBHsEaARUBDkEGAP2A9oDxAOtA40DZQM9AxwDBQLxAtgCtQKJAmECRgI7AjYCJgIFAdgBpwF4AU0BJwEJAPYA5gDOAK4AjQB0AGcAYQBaAFIARwA3ACQAEAAA//b/7P/e/8r/sv+X/3v/Yf9O/0H/Nf8m/xH++/7k/s7+uP6n/pz+l/6T/pD+jf6K/oH+bf5M/if+Bv3p/cz9rf2O/XP9Wf09/R38//zj/Mv8s/yd/Iz8gfx5/HD8Y/xU/Eb8Pfw4/Df8N/wz/Cv8Ifwa/Bb8EvwK+/778vvo++L73vvb+9j70fvG+7j7q/uh+5j7jfuB+3b7a/tg+1X7TvtI+0P7PPs2+zb7PPtA+z37OPs3+z/7SvtT+1r7X/tj+2P7Yfti+2n7cPtx+2r7Zvtw+4b7mfuh+537mvud+6b7svu9+8P7w/u++7n7ufu9+8D7v/u++8D7xPvG+8X7xPvH+8v7y/vG+8D7vvvA+8L7wvvA+8D7wvvD+8T7x/vL+8/7z/vO+8370PvV+9v73/vi++b76/vx+/X7+fv8/AP8DfwY/CD8Jvwu/Dr8R/xR/Ff8W/xg/GP8ZPxl/Gn8c/x9/IT8h/yK/I/8lfyc/Kb8s/y//Mn80PzX/N/86Pzu/PL8+f0E/Q/9F/0c/SP9LP01/Tr9Pv1D/U39Wf1m/XH9ff2G/Yz9jf2Q/ZX9nv2o/bL9u/3C/cX9xv3I/c391v3h/ez99/4D/g3+Fv4h/i7+PP5F/kz+Vv5q/oX+of63/sj+1P7g/u//BP8d/zT/Q/9J/1D/Wv9n/3D/c/92/4D/j/+c/6X/rf+4/8X/z//T/9f/3v/r//oACQAYACYAMwBBAFYAcgCTALEAzQDpAQgBJAE8AVMBbwGOAasBwgHaAfkCIAJCAlcCZQJ6ApkCvwLhAv8DHQM9A10DfAOcA8AD5QQHBCYESQR2BKgE1QT1BQ0FJgVHBW0FkwW1BdgF+QYBBcwFQQR7A88DpgRBBYgHIgiqCegK2AuQDB0MegyTDEsLkwp6CT8IOQeqB5AHtQffB/8INgikCTgJugn2CegJwwm9CeoKKApECiUJ1wl6CSAIzAh4CCoH7gfGB6YHgQdVBywHDAbxBtQGtgagBpcGngauBsAGzgbYBtwG2QbPBrsGowaMBnwGcQZfBj0GEwXwBd8F1wXFBZ4FZwUyBQgE4wS4BIAEPQP6A7oDfAM4AvECtgKaAqICswKhAkwBuAEOAHgADP/D/43/W/8r/v3+0/6u/o3+bv5O/i7+Ef34/eT9zv2z/ZP9c/1Y/UL9MP0e/Q79Bf0H/RX9Jf0u/Sr9Gv0G/PL85fzh/On8+P0J/RX9IP0v/UP9VP1e/Wb9dv2U/b397P4j/mf+sf7z/yD/N/9D/07/Xf90/5b/wP/qAAoAHwAyAEoAZAB5AIYAlACrAMwA8AERAS8BTgFxAZcBwQHtAhgCPAJUAmICbAJ4AokCngK3AtIC6QL9AxADJwNDA2ADfAOYA7cD2AP6BBkEOQRdBIIEoQS4BMoE2gTtBQIFFgUqBT4FUQVkBXgFjAWfBbEFvwXMBdkF5gXzBf8GCwYWBh4GJgYwBjwGSAZRBlkGZQZ0BoAGhQaGBokGjgaRBo0GhQZ/BnoGcgZlBlUGSAY+BjIGJAYZBhYGFQYQBgcGAAX/BgIGAwYDBgUGDQYUBhkGHQYlBjIGPgZKBlwGdAaKBpUGmwavBtcHBQchByYHJAcrBzQHMwcmByAHKQc2BzwHSAd2B8oIIghOCCMH1QeiB5sHuwgDCHMI5wkgCPgIjwg2CCgIVAiCCJMIlgilCLoIvQinCJMIlwiwCMYI0QjbCPEJCgkUCQ8JCQkNCRsJKgk4CUsJYgl2CYAJiQmXCasJuwnHCdMJ6AoBChkKLwpHCmAKbwpzCnEKeAqGCpYKoQqsCrsKxgrJCtcLCgtoC9EMEwweDAsMAgwTDDAMUwyBDL4M+Q0VDQoM+Q0JDUcNlg3HDb4NgA0vDO0MzAzCDLYMlAxiDDEMCwvmC7ULgAteC2ELfgueC7ELvQvMC9wL6QvsC+gL3gvOC70LuAvBC8kLsgtuCwoKoQpHCf4JwgmWCX4Jdwl2CXYJeAmACYsJkwmdCbIJ1QoACi4KYQqbCtYK/gsCCuEKpgpZCfkJhgkNCKAISwgPB+YHzAe/B7wHvgfFB88H2AffB+gH/QgiCEoIZAhzCIgIrwjaCPEI8QkCCVEJ6wqmC0cLpwvHC8ALqAuMC28LSwsfCusKtQqCClMKJQn6CdcJwAmvCZ0JiQl4CWwJXwlKCTEJHgkWCRAJBAjyCOMI2gjNCLkIpAidCKgIvQjSCOEI6wjvCPUJCAkqCUwJVAlCCTcJUgmGCZwJcQkiCO4I8QkCCOgInwhbCEYIUAhGCBAHyAeSB3QHVgcvBxAHBgcIBv8G5wbUBtEG2AbTBsEGrgajBpsGhwZrBlMGRwY/Bi8GFwX+BeoF1gW/BagFkwWABWsFUAUzBRkFAAToBNIEuwSiBIMEXgQ9BCQEEAP4A9kDuQObA4ADYgNBAyEDBALpAswCsQKYAoUCcgJcAkICKAIOAfEB0wG2AZsBgAFgATwBFwDxAMkAmQBlADEABP/c/7L/gv9N/xj+6/7D/pv+b/4//hD95v3B/Zr9a/03/QX83fy7/Jb8ZPwm++b7sfuN+3j7bPtd+0f7LfsS+vf61vqn+mz6J/nh+Z35Xfki+O34ufiF+FD4G/fn97T3gvdS9yj3APbV9qj2evZS9iv1/vXJ9Zf1cvVX9Tr1FPTn9Ln0ivRS9BXz4PO685rzb/M28v/y3PLJ8rbyn/KP8o7ykfKD8mLyPvIr8iDyB/HT8Y/xUPEg8Pzw3vDF8LLwm/B78FrwRfBB8D/wMPAX8AvwGvA78FfwX/BX8EzwRvBA8DPwIfAU8BXwJvA+8FPwYvBz8JLwwfDz8RXxHfEM8O/w0vDC8MPw0fDg8Orw8vEF8SnxXfGg8fnyaPLO8v3y5vK38sbzRPQR9NT1R/Vs9XD1fPWO9Zb1jfV69Wn1WfVL9UL1RPVI9UP1N/Us9Sn1KPUb9Qf0/vUY9VX1ofXi9gb2D/YL9g32JfZY9p325fci91H3cveK96D3uvfZ9/f4CPgJ9//3+ff++Ar4F/ge+Cb4OPhc+I74w/jx+SH5afnT+kv6nvqo+nH6MPoa+jr6ePq7+wX7avvs/Hf88f1X/bf+Hv6K/vP/VP+uAAMASgB+AKEAwgD0AUYBuQI6AqsC9QMVAxwDHwMrA0IDYwOKA60DwAO8A6wDpAOrA7UDuQO9A9YEDwRbBKME4QUgBWoFvQYOBlkGowbnBxwHQAdkB58H9ghSCJwI1QkPCVMJmQnWCgwKRQp/CqsKvAq1CqAKggpcCjoKLgo5CjUJ8QldCKEIAweuB6YH0ggTCEsIYAhQCEEIaQjZCVwJnAlyCQ8IzQjhCSwJbQl8CWcJVAlZCXMJnwniCjwKmQreCvwLAwsNCyQLPgtSC2MLfQuhC78LyAu9C6oLnguaC5wLrQvQC/sMEQwDC+cL9AxLDNkNXA2bDZQNdA1tDYcNpw2wDaUNnw22DegOHA4+Dk8OYw6LDsEO9A8XDzAPTA9zD54PwQ/ZD+MP4Q/WD8YPvw/JD94P8xACEAwQGxAuED0QRRBLEFQQYBBoEHAQghCpEN0RChEYEQcQ5xDPEMcQuBByD78Ofgy8CroI2weDBvUHNAgACPcJxgpRCq4K+gs6C1wLWgtFCzQLJQsCCsEKcQonCeMJkwk9CQUJDAk5CUYI/AhxB+4HrQelB6MHhQdYBzQHHwcEBtUGnAZqBkcGJgYABdQFqQV+BU4FGATlBLwEngSEBGwEVQQ+BCMEAQPeA8ADqQOTA3gDVAMvAw4C9QLgAsoCrgKKAmQCRgI1AisCGwH+AdUBqAF9AVMBKQEGAO0A3ADLALYAmwCAAGoAWwBRAEkAQAAwABsAA//w/+T/3v/W/8n/tf+b/33/Y/9Q/0P/N/8o/xP+/f7m/s3+tv6k/pv+mP6U/ov+gv59/nn+bf5V/jb+Fv34/dn9uf2Y/Xj9Wv07/Rz8//zn/NH8uvyj/I/8gfx3/G78ZPxY/Er8P/w3/Db8Nvw0/Cv8HvwS/Az8CPwD+/v78Pvl+9z71vvS+8/7yfu++7L7pvue+5f7j/uF+3r7bvti+1f7T/tK+0X7QPs9+z/7RPtH+0X7QPtB+0v7WPtk+2z7cPty+3H7bftt+3L7dvt3+3T7ePuG+5r7pvuo+6T7ovum+6v7rvuw+7L7sfus+6b7pPun+6n7qPum+6r7sfu3+7n7uPu4+7r7u/u4+7P7svu0+7f7t/u2+7X7t/u5+7z7v/vC+8b7yPvJ+8n7yvvN+9L72Pvd++D74vvn++378/v5+/78BfwM/BT8G/wk/DD8PvxH/Ev8TPxO/FH8VfxZ/F/8Z/xw/Hf8e/x+/IH8h/yQ/J38q/y4/MD8xfzM/NX84Pzp/PL8+/0H/RD9Fv0Z/R/9KP0z/Tv9QP1G/U79WP1j/W79ef2C/Yf9iv2N/ZH9l/2g/ar9tP26/b39vv3B/cn91P3h/e79+/4F/gz+Ef4Y/iP+Mf48/kX+T/5h/nr+lf6u/sH+zv7Z/uT+9P8J/x7/LP8z/zr/Rf9S/1z/YP9k/2//f/+N/5b/nv+p/7b/wP/G/83/1//j//H//wAOAB4ALwBAAFcAdQCVALQAzwDqAQYBIQE6AVIBbgGLAaQBuwHUAfUCGAIyAj4CRgJZAnkCnQK8AtYC7wMJAyEDOgNbA4gDuwPnBAoELARWBIMEpwTABNYE9gUjBVEFeQWgBc0F9wX7BbQFFARGA6YDlARDBZcHMAimCb8KggsdC7UMQQyMDFYLhgpHCPoIBweeB6QH0QfyCAgIPgizCU0JzgoHCfsJ2gnSCesKCQoJCeAJnAlOCP0IqAhTCAwH2Qe1B5QHbgdIBygHCwbrBscGqAaYBpsGrAa/Bs4G1gbYBtgG1gbSBsgGtwakBpIGgAZoBkYGIAYDBfUF6gXUBaoFdQVBBRcE8gTHBI0ERgP4A6sDZAMlAu4CyQK9AsYCzAKrAk4BwAEiAJcAKv/X/5P/WP8m/vr+0P6o/oP+Y/5H/i7+FP37/eP9yv2v/ZP9dv1d/Ur9Ov0s/Rv9C/0B/QL9C/0U/RX9Df0C/Pb87vzr/PD8/P0K/Rb9If0u/T/9Tv1a/Wb9d/2R/bH92f4K/kj+jP7J/vX/Ef8m/zn/Tv9l/4P/q//X//4AHQA4AFMAagB5AIEAkgCzAOEBDAEpAToBSwFmAYsBuQHrAhwCRwJmAnoChQKPApwCrgLFAt4C9QMKAx4DMgNIA2EDfQOdA8ID5wQKBCwETgRyBJQEsQTJBN8E9AUIBRoFKwU9BVMFaAV8BY8FowW5Bc0F3QXqBfUGAQYOBhsGJwYyBjoGQgZLBlUGWwZfBmUGcwaJBp0GqQatBq8Gswa0BqwGnQaMBn0GbgZeBlEGRwY+BjEGIgYXBhQGFAYQBgkGBAYHBg0GEQYSBhYGHwYmBikGKwYyBj8GTgZaBmYGdAaBBo0GnQa8BuEG9gbpBs4GzAb6B0EHdQd7B1sHMQcOBwQHJAd8B/EITAhbB9MHjQd3B40HuAfzCEsIswj4CO4IoAhOCC0IPghYCGYIcgiHCJwImwiFCHQIfQiXCKwIuAjECNsI8gj6CPQI8gj+CREJIQktCT4JVglqCXUJfQmMCZ8Jrgm2Cb4JzwnnCgEKHAo4ClIKYgpjCmAKZApvCnkKgAqLCp0KrAqvCrMK2QsyC6ML/QwjDCUMIgwoDC4MNAxMDIYM0w0RDSUNHQ0bDTMNWQ1tDVkNIQzfDK4MmQyVDIgMYgwnC+oLtwuIC04LDgraCsQKywrfCvYLEgszC1YLcAt+C4MLgwuBC4MLjQucC54LegssCsgKagogCeUJtwmYCY8JlwmkCa0Jswm9CckJ1gnnCgEKJgpQCnwKrgroCyILRgtDCxsK2QqFCiAJqwkzCMgIdgg8CBgIBAf9B/wH/ggDCAsIEwgYCCAINghaCIAImAiiCLQI2QkCCRcJGgkzCY8KMwrzC5ML9AwZDBoMCgvyC9ILqwt7C0MLCArPCpwKawo+ChkJ/wnuCd4JzQm8CbAJowmSCX4JcAloCWEJVAlECTgJLgkgCQwI+Qj2CQQJGgkuCTsJQglCCUQJVQl8CagJvAmwCaIJuAnqCgYJ4AmGCTUJEgkHCOYIpAhpCFgIYwheCDAH7AeyB40HcgdXB0UHPwc7BysHEwcFBwoHFAcPBvwG6AbdBtMGvwalBo4GgQZ1Bl8GQwYpBhYGBAXuBdYFwQWuBZcFewVfBUYFMAUYBP8E5gTLBK4EjQRtBFQEPQQiA/8D3AO/A6YDjQNwA1ADMwMYAvsC3ALBAqwCmwKIAnACVgI7AiECBQHoAcwBsAGSAXEBTgEmAPwAzgCeAHEARwAe//L/wf+N/13/Mf8I/t7+r/56/kb+GP3x/c39ov1u/Tf9Bvzf/L38l/xm/C/7/vvc+8j7ufum+4v7a/tL+yf6+vrC+oT6RPoH+cv5kPlX+SP48vjA+Iv4Vvgi9+73u/eL92D3OvcT9uf2u/aS9mv2PvYJ9dL1ovV79Vj1NPUR9PD0y/Sb9GD0JPPv873ziPNR8yTzCPL08tzywfKy8rHysPKa8nPyUPJB8jTyC/G68VrxD/Do8Nnwz/DB8LLwn/CK8HPwYfBX8EvwNfAb8AvwEfAj8DPwOPA78ETwU/Bc8FXwQPAq8CHwKfA78FHwavCO8MLxAvFB8WvxdfFd8S3w/PDf8N/w8PEA8QLxAvER8TfxbfGu8gXyePLp8yTzE/Lg8uTzWfQe9Nv1SfVn9Wn1dPWG9Yz1fPVj9U71P/Ux9SL1FfUJ9Pn06/Tm9Ov07vTm9Nb01/T39TD1afWO9Z31pvW49dj2A/Y39nD2rPbl9xX3N/dN9133cfeJ96D3rPeu9673s/e/98v30/fd9+34Cvgx+F34hvis+Nr5IfmJ+gD6Wvpz+lD6HPoH+iH6WfqY+uD7Pvuz/C38mvz6/V39y/4//q7/FP91/9IAIQBWAHMAiwC2AQcBfQIDAnkCxQLeAtkCzQLOAt8C+gMXAzADPQM+AzwDQgNUA2cDdwOLA7MD8wQ9BH4EtQTtBTAFegXABgMGRgaKBsMG8AcdB18HtggRCFsIlwjWCSEJbgmzCe4KJwpcCoIKigp3ClQKKgoBCeMJ1wnNCZ0JLAiGB+MHewdaB2wHlwfKB/gIDAgECAgITgjkCYQJyQmJCP4IlgiOCM8JFAkyCTEJLQk1CUoJcAmxCgwKZwqjCroKvwrMCuUK/wsRCyQLQwttC44LmwuUC4cLfgt4C3cLhwutC94L+gvqC8ALrgvhDFkM4g1ADVgNRA0xDToNVg1tDXcNgw2nDeAOGA43Dj8ORw5nDpsOzQ7qDvcPCA8oD1YPgw+lD7sPwg+6D6YPlA+PD5sPsQ/ID9wP7xAAEBAQHxAwED8QSBBLEFIQbBCZEMsQ6xDrENMQuBCnEJsQcA/4DwYNjwuzCcMIIQciBu8HcAhWCUEJ7wpaCqQK7AsrC0gLPAsgCw8LBQrlCqEKTQoFCccJfAkcCMwIuQjfCP0I1QhkB+YHlwd+B3kHZAdABxwHAAbgBrQGhAZZBjcGFQXvBcYFmwVuBTsFBgTZBLcEmgR8BFwEPwQlBAkD5wPDA6MDiwN2A10DPwMeAv8C5ALNAroCpAKJAmoCSgIxAh0CBwHpAcQBnwF8AVcBMAEIAOgA1ADHALoApgCNAHIAWwBKAD8ANQAmABH/+v/m/9j/0f/K/8D/sP+Y/3z/Yv9O/0D/NP8m/xb/BP7v/tb+u/6o/qD+nv6Z/o7+gf55/nX+a/5Y/jz+Hf3+/d39vP2a/Xv9XP09/R39Afzr/Nj8xPyu/Jn8h/x5/G38Y/xZ/E78Q/w7/Df8N/w1/Cz8HvwQ/Ab8Afv9+/f77vvk+9r70vvM+8j7w/u7+7H7p/uf+5j7kPuG+3v7bvth+1b7TvtL+0r7SPtI+0r7TvtP+0z7SftL+1T7X/to+277cvt2+3f7ePt6+337f/t++377hPuQ+5z7ofui+6b7rvu0+7D7pvuf+6D7pPul+6D7m/uZ+5j7lvuT+5X7nfum+6n7qPun+6j7qfun+6P7ofui+6X7pvun+6f7qfut+7D7svu0+7f7u/u/+8H7wvvE+8j7z/vU+9f72Pvb++L76/vy+/j7/fwE/A38Ffwd/Cf8Mvw6/Dz8O/w7/EH8SfxQ/Fb8Wvxh/Gj8cPx1/Hn8ffyG/JL8ofyu/Lf8vfzE/M381/zh/Oz8+P0E/Q39E/0W/Rv9JP0u/Tj9P/1G/U39Vv1g/Wv9d/1//YX9iv2N/ZL9l/2e/aX9rv20/bf9uf2+/cb90P3d/er9+f4F/gz+EP4V/h/+K/43/kD+S/5b/nL+i/6k/rn+yv7W/t7+6P73/wn/GP8j/y3/Of9E/0z/Uf9X/2P/cf98/4T/jP+X/6T/r/+3/8H/zv/d/+r/9gAEABUAKAA+AFgAdgCWALEAyADfAPsBGAE1AVABaQGCAZsBswHPAfACDQIgAikCMwJGAmICfgKYArUC2AL5AxADIgM9A20DrAPnBBIEMwRRBGwEfwSOBKoE2gUVBUoFcgWZBccF7wXnBYkE1wQJA38DkwRnBdIHawjGCa0KPAq8C1wMCAxtDDsLXwocCOQIFwfSB+cIEAglCDcIcQjoCXoJ6QoMCfMJ0AnGCdIJ1Qm6CYkJVAkfCOAIkAg5B+8HvQebB30HXAc8Bx8G/gbXBq8GlAaQBqEGuAbMBtYG2gbZBtcG1gbUBtAGxQa0BqIGjQZyBlIGMQYXBgMF7wXQBaQFdQVKBScFBQTaBJ0ETAPuA5IDRQMPAu0C3ALYAtoCzgKfAkIBvwEyAK8AQf/j/5T/U/8h/vf+zv6m/oP+Z/5R/jz+I/4I/e390v24/Z39gf1n/VL9Rf06/S39Gv0H/Pv8+v0A/QX9A/z+/Pn89/z3/Pv9Av0N/Rj9Iv0u/Tr9R/1V/Wb9fP2W/bP91P3+/jP+bP6f/sT+4P77/xz/Pf9e/37/of/H/+0AEwA6AGEAggCVAKEAswDYAQoBOQFXAWgBdgGMAawB0QH5AiICSAJnAnwCiQKUAqICtQLMAuUC/wMaAzMDSANZA2oDgAOfA8UD7QQRBDQEVQR2BJQErQTFBN8E+QUPBSAFLwVABVYFbAWABZQFqQW/BdUF5wX3BgcGFwYmBjYGRQZRBlsGYwZsBnMGeAZ6BoEGkgaqBsAGzAbOBswGygbEBrQGngaIBnYGZwZbBlIGTAZGBjoGLAYjBiEGIgYeBhUGEAYRBhUGFgYWBhoGIwYrBi0GLgY3BkcGWQZjBmoGcwaEBpwGvQbhBvoG8gbHBpkGmgbgB00HpAe+B5sHWgccBwEHIQd8B+sILQgdB3oHVwdlB40HqQe/B+4IQwiUCKwIgQhACBwIIAgzCEMIUghmCHYIdAhlCF0IagiCCJUIoAiuCMQI1wjcCNoI3wjyCQcJFQkgCTIJTAliCW4JdQmBCZIJnwmmCa4JvgnWCfAKCQokCj8KUQpUClEKUQpWClsKXQplCngKiwqTCpgKuQsJC3cL2gwXDDMMQQxGDDsMJgwlDFIMpgz7DSsNMQ0nDSQNKg0pDRQM7AzADKEMkwyMDHoMTwwRC9ELmgtlCykK5gqoCn0KaApjCmwKiQq4Cu4LHAs4C0ULSwtOC1QLXwtoC1wLLQrgCooKQwoPCegJxwm0CbMJwgnUCeEJ6gn0CgIKFAosCk4KdgqeCsQK7gsiC1ULcwtrCz8K+gqkCj4JywlXCPEIoQhrCEsIPQg8CD4IPwhDCEgITghQCFUIaAiLCLAIyQjXCOsJDgkxCUEJRgloCc0KcgsoC74MHAxLDF0MWwxJDCsMBAvVC50LXgsgCuoKuAqLCmIKQwouCh0KDAn9CfIJ6gngCdQJyQnACbYJqAmaCY8JhAl1CWIJVAlVCWMJdgmGCZMJnAmdCZ4JrgnZChAKLwonChAKEgoxCkQKHwnFCWsJNwkgCQAIyAiTCHsIeQhsCD8IAQfNB6sHlQeCB3YHcAdnB1QHPQczBzoHQwdBBzIHJAcaBw8G+QbfBsoGuganBowGbgZXBkcGNgYfBgUF7gXaBcIFpQWKBXMFXQVEBScFDATzBNoEvQSeBIEEZQRHBCMEAQPmA9ADugOfA4EDZANIAyoDCQLrAtQCwwKxApsCgQJoAlACNgIaAf0B4AHDAaMBfwFWASsBAgDaALMAigBeAC/////Q/6P/eP9N/x/+7P61/n3+TP4k/gH92f2j/WT9KPz7/N38w/yj/Hr8Ufww/Bf8APvl+8T7ovuA+1f7I/rl+qT6aPow+fr5wvmM+Vn5Kfj4+MP4jfhZ+Cb38vfB95T3bPdE9xf26Pa89pT2bPY/9g312/Wt9YH1WPUz9RL08/TP9KX0ePRK9Bvz6PO685bzfPNg8zvzF/MD8wHy/vLp8sPyofKJ8mryKfHF8V7xHPEI8QzxC/D18NLwrfCL8G/wW/BN8D/wLPAX8ArwCvAP8BHwEfAX8CzwTPBm8G/wZfBT8ETwP/BE8FXwd/Cu8PXxQfGD8a7xuvGj8XPxPPEZ8RbxJvEu8STxFfEb8UDxdvG28gjyd/Lt8zXzMvMG8wfzbvQk9NT1OfVT9VL1XPVv9XX1ZPVH9S/1HfUL9Pb03vTF9K/0ofSk9LX0xPTF9L30vvTX9QH1J/U69UP1U/V09aL11fYI9j72eva29uf3BvcT9xr3JPcw9zr3Pvc990H3SPdN90z3TPde94b3u/fu+BT4L/hK+HT4ufkc+Y/59Pos+jP6I/og+jn6Zvqb+tf7I/uC++j8S/yt/Rf9jv4F/nP+2v8+/6H/8wAmADwASwByAMMBPgHJAkECiQKcAo4CfQJ9AowCoQKzAsECzALVAt8C7wMFAyADPgNiA5UD1QQWBE4EfQSxBO8FNAV3BbcF9wY3BnEGpAbeBykHgAfTCBQITgiRCOMJOgmHCccJ/gooCjkKKgoGCd0JvAmkCZMJfglNCOgITwepBzEHBgcYBz8HZAeHB6kHuQe1B8AIEAipCUYJggk8CLEITQhECH8IvgjgCOsI9Aj+CQsJKQloCcUKIQpaCm0KcgqCCp0KtQrHCt4LAwsxC1YLZgtlC18LVwtOC0cLUAtzC6YLygvGC58LewuNC+cMbQziDRoNFgz8DPQNCA0nDUINXw2NDc8ODg4xDjYONw5ODnwOqQ7BDscO0Q7rDxIPOQ9WD20Pfw+JD4YPdw9qD2kPeA+SD64Pxw/cD/EQBxAcECYQJBAfECoQThCCEK8QvxC0EJsQhhB1EFUQAQ9QDiMMgAqcCNAHfQbhBwIHsAiaCW8KAgpZCpgK2AsSCy0LIQsFCvEK4Qq8CncKJgnmCbQJcAkNCK0IgwifCM0IyAh1B/oHkwdbB0cHOQciBwMG3wa3Bo4GaQZJBikGBgXeBbYFjgVgBSwE+QTRBLMElQRwBEoEKQQPA/MD0QOrA4oDcQNaA0IDJQMIAuwC0wK9AqsCmwKHAmwCTQIvAhMB9gHVAbIBkQFzAVUBMgEKAOcAzgC/ALQApgCSAHgAXgBJADkALAAeAAz/9v/i/9H/xP+4/6z/nf+J/3H/Wf9E/zT/KP8d/xP/CP73/t/+xP6w/qf+pP6e/pL+hP56/nH+Zf5S/jj+G/38/dr9tv2U/Xb9W/0+/SD9Bfzv/N38yvy2/KH8jvx8/G38YfxX/E38Q/w6/DX8NPwy/Cv8H/wR/AX7/fv1++375fve+9f70fvM+8j7xPu++7b7rPuh+5f7jfuC+3b7avte+1T7T/tP+1L7VPtX+1n7W/tb+1n7V/ta+2H7aftt+3D7c/t4+337g/uI+4v7jfuM+437kfuX+5r7mfud+6n7uPu++7P7oPuX+577rfuz+6z7nvuU+477ivuG+4X7i/uT+5j7l/uV+5f7mvud+5v7l/uV+5X7mPua+5z7nvuh+6T7pvum+6f7qvuv+7L7tPu1+7j7vvvF+8j7yvvN+9T73Pvk++r78fv8/Aj8Evwa/CD8J/wr/Cz8Kvwr/DL8PvxI/E38UPxV/F78afxy/Hf8evyA/Ir8lvyk/LD8uvzC/Mn8z/zY/OL87vz6/QT9Cv0P/RX9Hf0m/S/9Of1B/Uj9Uf1d/Wr9eP2B/Yf9jP2S/Zj9nv2j/aj9rv20/bj9u/3A/cf9z/3Y/eP97/38/gf+D/4W/h/+Kf4y/jv+SP5Z/m7+hf6b/rD+w/7R/tn+4f7s/vr/Cv8Z/yf/NP8+/0T/SP9P/1r/Zf9s/2//dv+D/5H/nf+n/7P/xP/W/+b/8wAAAA8AIAA1AE8AbQCKAKMAtgDMAOkBCgEqAUYBXwF4AZMBsAHPAfACDgIoAkACWgJ0AogClwKtAtgDFwNRA3ADdQN5A5QDyAQABCsERwRXBGEEaAR5BKEE4gUnBVwFfgWdBcEF2AW3BUAEgQPAA1sDowSrBjgH0QkFCa8KBwpsCxALyAwsC+4LEQnsCOoIUwgnCDgITwhZCGoIqAkZCZcJ6QnxCccJnwmVCZsJkAloCTUJDwjyCMYIfAghB9MHoAeCB2gHSgcrBwoG5Qa8BpgGiQaSBqkGvwbOBtQG1wbYBtYG1QbSBs0GwgazBqIGjwZ4BlwGPgYiBgcF6AXDBZoFdAVVBTsFHATuBKkESwPfA3oDMQMMAwEC/gL3AuQCvwKAAiEBqQEoAK0APv/f/4//T/8d/vT+zf6n/oj+b/5b/kX+LP4R/ff93/3I/bH9l/18/WT9U/1J/T39LP0V/QL8+/z//QT9Bf0B/P78/v0B/QX9Cf0P/Rj9I/0v/Tz9Sf1Z/W79iP2k/b792f35/iL+UP56/pr+tf7U/vr/Jv9P/3P/lP+1/9f//wAvAGYAmQC8ANAA3QD0ARgBQwFuAZYBvgHlAgYCHQIuAj4CUQJkAnQCgQKQAqICuQLSAuwDCQMqA0sDZgN4A4QDkwOtA9AD9QQYBDgEVgRzBI4EpgS+BNkE9QUOBSIFMwVFBVoFcQWIBZ8FtgXLBd4F8gYGBh0GMgZFBlUGZAZyBnwGhQaMBpQGmgafBqkGugbPBt8G5AbfBtcGzgbCBq0GlQaABnIGagZjBl4GWQZTBkoGPwY4BjcGNwYxBiQGGgYVBhQGEgYQBhUGIAYqBi0GLQY2BkgGWQZiBmgGdwaUBrsG4gb/BwkG+AbUBrUGvQb0B0QHhgegB5UHcgdLBzMHQQd5B7wH2Qe4B0AHSgd5B6YHrgefB6kH5AgvCFUIQggXB/8IBwgcCCwINghCCEwITQhHCEkIWQhvCH8IiQiXCKsIvQjECMgI0wjpCP4JCgkWCSwJSglhCWsJcAl6CYgJlAmaCaQJtwnRCecJ+QoOCicKOwpDCkEKPwpBCkMKQgpFClMKZwp2CoMKogrjC0ALnQvnDBwMQwxUDEgMKAwYDDkMhwzeDRYNIw0XDQkNAgz7DO4M2Ay/DKoMmgyLDHMMTAwaC+cLtwuEC0gLBgrICpUKbApMCjsKSAp0CrYK9QshCzgLPws+CzoLNAsnCwkK1QqUClgKLQoRCfsJ5wnaCdsJ6An5CggKFgolCjcKUQp1CqMK0Qr0CwwLIwtEC2gLfQtzC0kLCAq1ClIJ4wl2CRcIzQibCH8Idwh6CH8IgQiCCIYIiAiICIoImgi6CN8I+wkOCScJSgloCXMJeQmgCgUKngs/C8EMGgxXDIAMlAyPDHcMVQwqC/MLswtzCzwLDArfCrMKjQpzCmAKUQpECjsKNwozCiwKIwoXCgoJ/gnzCegJ2wnKCbsJtAm4CcMJzwnaCekJ+AoACgQKFQpCCnwKnwqTCmoKTwpPCk8KJwnWCYMJUwlACSkI/AjICKMIjQhzCEgIFgfuB9QHwgewB6MHmgePB38HbQdkB2cHbQdtB2YHYAdaB0wHNAcZBwMG8gbbBr0GngaKBnwGawZQBjIGGgYFBe4F0QW1BZ0FhwVtBVAFNAUfBQoE7wTOBKwEjQRuBE4ELwQUA/4D6APOA7EDlQN4A1kDNgMWAvwC6QLXAsECqgKSAnwCYwJGAigCCwHvAdABrAGFAV4BOgEXAPIAxwCZAGkAPQAS/+j/u/+M/1r/Jv7v/rj+h/5e/jv+Ev3a/Zb9Vv0l/Qf88/zc/Lz8l/x1/Fj8Ovwa+/j71vuz+4j7UPsP+s36kvpd+in59PnA+Y/5YPku+Pr4xPiQ+F34K/f69833o/d590n3Fvbm9r32mPZy9kf2GfXq9bz1jfVe9TL1C/Tp9Mz0r/SP9Gf0O/QR8/Dz0/Ov84LzWfNC8z7zPPMr8w3y7vLP8qDyUvHs8ZDxYfFg8XHxcvFU8Rzw2fCa8GjwR/A18CrwH/AT8AvwCPAG8AHv/fAE8BrwO/Bd8HPwe/B58G/wYvBa8GLwhvDH8RfxZPGf8cPx0fHH8abxe/Fc8VXxXfFa8ULxJfEh8ULxevG88gzydvLq8zrzRvMn8yjzgvQi9MH1HvU39Tf1Q/VZ9WD1T/Uu9Qz07/TS9LP0lvR+9G30avR49JP0q/Sz9Kv0pvSx9Mn04fTx9QD1GvVD9Xb1qPXb9hL2UPaL9rX2xvbF9r72u/a89rr2tPax9rL2svan9pP2i/am9uj3Ovd896L3tffN9/j4O/iV+P75Z/m8+fP6Ffo0+lv6ifq4+ur7Jvtw+8X8IvyH/Pj9b/3g/kf+qf8N/2//v//vAAMAEQA4AIgA/QGBAfMCNgJHAjoCLQIuAjsCSAJQAlgCZgJ6ApECqALEAucDEQNCA3oDtAPqBBkERQR2BLIE9QU7BX4FvgX5Bi8GZQamBvYHSweSB8kH/whECJsI+QlPCZgJ1Qn5CfcJzwmXCWoJVAlLCTsJDQivCB4HdQbmBqAGqwbfBxEHMAdKB2QHcQdrB28HqQggCJcIwQiKCCoH8wgFCD4IbwiICJMIngilCKoIxAkICW4JzgoFChUKGgorCkcKYAp1CpEKvQrvCxULJwsqCycLIgsYCw0LDAsjC00LeAuJC3gLWwtaC5YMCgyGDNcM5wzPDLwMxgzkDQENHQ1GDYYNyg33DgYODA4mDlgOjA6tDrwOyQ7gDvgPBw8NDxYPLQ9LD2MPag9kD18PZA93D5APqQ/DD90P9hAGEAUP9g/uD/8QLRBhEIEQgxBxEFwQRxAnD+IPWw53DSELawmUB/8HAwbEBykH8AjOCYkKCgpZCpEKxgr1CwsLAwrsCtUKuwqOCkkJ/wnICZ4JYgkFCKEIbQh+CLAIvwiCCAkHjAc3BxIHCAb/BucGvwaRBmsGUQY9BiIF+wXPBaUFfAVPBRsE6wTGBKkEiQRhBDcEFQP8A+IDwAOZA3YDWwNCAygDCwLwAtgCwgKvAp8CkQKAAmgCSQIpAgoB6wHJAaUBgwFmAUoBKwEIAOYAygC3AKkAnACMAHcAYABLADkAKgAaAAn/9P/f/8r/tv+j/5L/gf9v/1z/R/80/yT/F/8N/wb+//7y/t7+x/60/qn+o/6b/o/+gf50/mb+Vv5B/iv+FP34/db9r/2L/W39U/06/SD9B/zy/N/8zPy4/KP8kPx+/G38YPxV/Ev8Qfw3/DD8Lfwq/Cb8HvwT/Af7+fvr++D72fvX+9b71PvR+837yPvD+7r7sPuj+5X7iPt8+3D7Zvtd+1b7UvtT+1f7W/tf+2L7ZPtl+2b7aPtt+3T7evt9+377gfuF+4v7kPuV+5r7nfue+5/7ovuj+6H7n/ui+7D7vvvA+7H7n/ub+6v7v/vF+7b7nvuM+4P7fvt5+3b7eft/+4P7gPt8+337hPuO+5X7lfuT+5H7kvuU+5X7lvuY+5r7nfuf+5/7n/uf+6H7ofui+6T7qfuv+7X7ufu++8X7zfvT+9f74Pvu+//8DfwV/Bn8HPwe/B78HPwd/CX8Mvw//Eb8S/xR/Fz8aPxx/Hf8e/x//Ib8j/yc/Kr8t/y//MT8yPzO/Nj84/zt/Pb8/v0H/Q/9Ff0c/SX9Mf08/UX9Tf1Z/Wf9dv2A/Yb9jP2S/Zr9of2n/az9sv23/br9vv3D/cv90/3Z/d795v3y/f/+C/4V/h3+JP4s/jb+Rf5Z/m7+g/6W/qj+uf7H/tH+2v7k/vH/AP8Q/x//Lf83/zv/P/9F/0//V/9a/13/ZP9y/4L/j/+Z/6X/uP/O/+L/8wAAAA0AGQAqAEEAXgB7AJMAqAC/AN0BAAEfAToBUwFwAZIBtgHYAfoCHwJLAn8CsQLTAt4C3QLwAy0DjQPmBBEEBwPoA9sD7AQQBDEERgRTBFwEaQSHBL4FBgVKBXcFjwWjBbYFsQVwBOAEIAN4A0MDxgUGBrAIPwlDCa4J2go2CuYLoAvuC5MKtgm8CP4Imgh6CHcIeAh5CIsIxAkkCYkJwgm5CYYJWQlMCU4JPwkVCOcIywi9CJ0IXAgHB7wHjgdyB1kHOQcXBvQGzwasBpMGjgacBq8GvAbCBsUGyAbJBsYGwwa+BrkGrwahBpIGhAZyBloGPgYhBgIF4QW9BZkFewViBUgFIwTsBJsENAPDA2MDKwMeAyYDJgMNAtwCmgJKAegBdwD+AIoAI//M/4X/Sv8Z/u3+xP6g/oL+af5S/jn+If4K/fb95P3T/cL9rv2V/Xv9Y/1T/Uf9N/0i/Q/9Bf0G/Qv9DP0I/QT9Bf0L/Q/9EP0R/RX9H/0u/T/9Uf1m/X/9m/22/cz93v3y/hD+Nv5e/oD+n/6+/uP/Df84/2D/hf+m/8b/7AAeAF4AogDYAPUA/AD8AQQBIAFSAZUB4AIkAlQCawJvAmwCbAJxAnoChQKXAq4CygLlAwADHAM+A2MDhAObA6oDuAPNA+oECQQnBEIEXQR5BJQErgTGBOAE+wUWBS4FRAVZBW8FhgWhBb0F1wXrBfsGDQYlBkAGWAZqBncGgwaQBpkGoAamBq0Gtga/BsoG2QbpBvIG8AbmBtsG0gbGBrQGnQaLBoEGewZ0BmwGZQZfBlYGTgZIBkcGRAY7Bi0GIQYcBhoGFwYVBhoGJgYxBjMGMQY3BkYGVAZbBmMGeAaeBsYG3wbmBuQG5wb0BwcHGQcjByIHHgckBz0HXwd2B3kHcwd2B38HeAdbByoHWgecB8cHwgejB5YHtgfpCAYH/gfoB+UH+QgQCBoIHQgiCCkILAgtCDMIRAhXCGUIbgh8CJAIowiwCLoIygjgCPMJAgkTCS0JSgleCWYJawl3CYcJkwmZCaMJugnVCekJ9QoBChQKJwowCi8KLgoxCjMKMgowCjcKRwpaCm4Kiwq6CvsLRguRC9sMHAxEDEYMLgwdDDMMcQy5DOoM+QzxDOUM3QzZDNQMzAy+DKoMkQx2DFcMOAwaC/wL2wuwC3oLPgsHCtgKrAp+ClkKUgpzCrQK+wsxC0sLTgtACycLCArjCrcKhgpYCjYKIgoWCgoJ/gn3CfoKBQoUCiYKOwpTCnEKlgrJCwQLNgtSC1YLUgtWC2QLbQthCz0LBAq4CloJ8gmNCTcI9gjKCLQIsAi3CL8IwwjDCMIIwQi/CMII0gjxCRMJLglECV8JgQmaCaMJqgnWCjkKwQtHC7AMAQxIDIkMtQzBDLQMmQxzDEAMAQvDC48LYws3CwcK2wq8CqoKnQqRCocKgwqBCn4KdQpqCmAKWApQCkMKMQoeChMKFAocCiQKKAovCkEKWApoCnAKfwqmCtkK9ArfCqkKeQpkClUKKwngCZQJaAlaCUwJKAj0CMUIogiACFoINAgXCAQH8gffB88HxQe9B7EHpAebB5oHnAecB5sHmweWB4YHawdQBzsHKQcSBvMG1QbBBrMGngaABmAGSAY0Bh0GAAXhBcgFsQWYBXwFYwVPBToFHgT6BNUEtgSbBH4EYARDBCoEFAP7A+ADxAOlA4QDYQM/AyQDDwL8AugC0wK9AqUCiwJtAlACNAIaAf4B3gG7AZkBeAFVAS4BAADRAKQAewBTACn/+P/F/5D/Xf8q/vj+yf6e/nf+Sf4S/dL9lf1m/Uf9MP0W/PT8z/yq/In8afxJ/Cn8Cfvl+7j7f/s9+vz6wPqL+lj6J/n2+cb5lvll+TH4/fjK+Jj4Zvg2+Av34ve594n3Vvcl9vv21vaw9ob2V/Yo9fn1yfWV9WD1LvUE9OT0y/St9Ij0XPQx9A7z7vPI853zd/Ng81jzUvND8yzzEvL08sTyevIg8dTxq/Gm8bLxtPGb8WbxHPDM8IbwVvA68CvwIPAV8A3wCPAE8AHv//AE8BTwK/BG8GDwdvCD8IXwe/Bu8HDwkfDS8SLxbPGf8b3xzfHP8cDxpPGL8X/xe/Fv8U7xK/Eh8T7xefHB8hXyffLs8zzzUPM880Dzj/Qd9Kv1AvUf9Sf1N/VO9VX1QfUY9On0vPSR9Gz0UfRC9ED0SvRg9Hz0kvSX9I30gfSC9I/0ofS19M/09fUm9Vn1ifW19eX2F/ZA9lX2UvY/9ir2G/YS9gn2APX99f71+fXl9cj1vPXd9iz2jfbc9wv3J/dH93j3uPgD+Fr4u/kg+X35zvoW+lv6m/rT+wf7Pft7+8X8HPyA/O79X/3I/if+gv7e/zb/fv+s/8n/5wAVAFwAuQEfAXsBugHVAdYB0QHTAdoB4QHlAfACBgInAkoCbAKSAr4C8wMqA2EDlAPDA+8EGgRKBIMExAUMBVIFkQXFBfMGKAZrBr0HDQdNB4AHtAf6CFAIqgkDCVgJognMCcQJjwlKCRgJAgjxCMUIbAfkB0MGrQZNBjwGagarBtoG8gcGByAHMActBygHRQeKB9IH7AfRB6oHqAfPCAAIHAgnCDAIOwg+CD8IWwinCRUJdwmsCbkJvwnSCe8KCgojCkYKeQquCtMK4grlCuQK5ArfCtUKzwrVCu8LFQs4C0YLPws6C1wLswwnDIQMqQygDJEMmAyxDMUM0QznDRcNVg2LDakNwQ3rDi0Odg6wDtkO9w8RDx0PEw77DusO9Q8VDzwPVw9iD2MPZQ9uD30PkQ+qD8YP3g/nD9wPyg/FD94QDBA1EEIQNxAjEBIP9g+0DzsOfQ1vDAoKXwixB18GuAbJB2AILwj4CZkKDQpaCo8KuQrZCucK4QrNCrQKlApkCiQJ4AmrCX8JRQjwCJQIWghZCHoIhwhXB+0HcgcUBuUG2wbZBscGnwZxBk4GPgYzBhwF8wXBBZIFZwU6BQoE3QS9BKIEgQRVBCcEAgPpA9ADrwOJA2UDSAMuAxIC9gLcAsUCsgKhApMChQJ1Al4CPwIdAf0B3gG9AZsBeQFZATsBHgEAAOMAyQC0AKIAkgCDAHIAXwBMADsAKwAbAAf/8P/Y/8D/qP+Q/3n/Zf9T/0P/Mv8i/xP/Bf77/vT+7f7i/tL+v/6u/qD+lf6K/n3+b/5h/lD+PP4o/hf+Bv3w/dD9qf2C/WL9SP0w/Rn9BPzy/OD8y/y1/J/8jPx8/G78YvxX/Ez8Qfw3/C/8Kfwk/CH8HPwV/Ar7+vvo+9r71PvW+9n72vvX+9H7yvvC+7j7rPuf+5L7hft6+3D7aPth+1v7VvtV+1b7Wvtc+177YPtj+2n7cvt8+4b7i/uP+5P7mfuc+537nfue+6P7qfus+637rfuu+677rvux+7n7v/u8+677ofui+7P7xPvC+637kvuA+3n7dvtw+2r7afts+2z7Zvtb+1b7XPtt+4D7jPuR+5D7jvuN+4z7ivuK+477lvud+5/7nPuX+5T7k/uT+5X7mPud+6P7qfuw+7n7wfvF+8j7zvvd+/D8AfwM/BD8EvwS/BH8D/wR/Bn8J/w1/ED8SvxU/GD8avxx/Hb8e/yA/IX8i/yV/KP8sPy4/Lz8v/zG/NH83Pzl/O38+P0E/Q79E/0X/SD9Lf08/Ub9Tf1U/WH9b/16/YH9h/2O/Zb9nv2l/az9s/24/br9vP3C/cz91v3d/eD95P3u/fz+Cv4V/hz+Iv4q/jb+R/5b/nD+g/6T/qH+r/67/sf+0v7e/ur+9v8D/xL/IP8q/y7/MP80/zz/Rf9L/1H/W/9p/3j/g/+M/5j/qv/B/9f/6//6AAcAEgAgADYAUwBxAIwApAC+AN4A/wEbATIBTAFuAZgBwQHkAgQCKwJjAqkC6gMRAxMDBgMTA1gDyAQzBGQEUwQdA/ID6QP7BBYEMQRIBGAEgASuBOsFLQVjBYMFlAWgBaAFewUZBHwDygNMA1AECwVwByEIkglgCZ0Jvwo5Cw8L0QwAC3sKkgm6CS8I6AjACJ8IiAiBCJAIugj+CUkJdQltCTwJCgjzCO4I4gjBCJ4Iigh/CGYILwfnB6oHggdoB0sHKQcHBucGyQavBp8GnganBq8GsgaxBrEGsAarBqIGnAaaBpgGkQaGBnkGbgZgBkoGLwYTBfgF3AW+BZ4FfgVdBTcFBAS/BGcD/wOZA04DMAM3A0QDNgL/AqwCUAH0AZQBKwC+AFX/+/+y/3T/Pf8J/tf+qf6D/mX+Sv4w/hf+Av3y/eX92f3M/cD9s/2h/Yb9a/1V/Uf9O/0r/Rn9DP0J/Qz9Dv0N/Q39Ef0X/Rv9Gf0T/RH9GP0o/T79V/1y/Y79q/3E/db94f3u/gT+Jv5Q/nr+nP66/tn+/P8k/1H/ff+k/8f/6QAVAFIAmQDbAQUBEAEGAPkA/gEhAWABsAH/AkACaAJ7AoECggKFAo0CmwKwAs0C7QMMAygDQQNdA3wDnAO4A88D5AP6BBEEKQRABFcEcgSQBK8EywTlBPwFFAUuBUoFZQV9BZIFqAXDBeMGAAYUBiIGMgZLBmgGgAaOBpcGoQasBrUGuQa8BsIGygbSBtwG6Qb4Bv8G/AbxBukG5AbeBtEGvQaqBpwGkgaHBnsGcAZoBmEGWQZSBk0GSQZABjQGLAYrBi0GLQYsBjAGOQZBBkAGPQZBBkwGWAZdBmMGeAaYBrIGsQadBpYGuAb/B0YHYgc/BvAGqQabBtQHNAeHB6YHlAdtB0kHLQcfBy0HbAesB8sHwAefB44HnAe4B8gHxgfFB9UH8QgFCAkICAgLCBMIGAgYCB4ILQg/CE0IVghhCHMIiAiaCKkIuwjRCOYI+gkRCSwJRAlTCVkJYwl2CYwJmQmgCasJwwneCfIJ+woCCg4KGwogCh4KHAofCiQKIwodChwKJwo8ClUKbwqOCrUK6gsvC4ML2QwXDC8MJwwdDC4MWgyPDLUMxgzHDMIMvAy3DLMMrgyiDIoMZww+DBkL/gvsC+EL0gu3C40LXQsxCwoK4gq2CpAKhAqgCtwLHgtOC18LVAszCwgK1wqmCnkKUgo2CiQKGgoSCgsKBwoKChQKHwouCkMKYQqGCrAK4gseC18LkQukC5YLfAtpC2MLXQtLCygK8wqtClYJ9gmcCVIJHAj5COkI6QjzCP8JBAkCCP0I+Aj3CP0JEgkwCU4JZAl3CZAJrgnDCcoJ1goKCnAK8AtiC7YL+QxCDI8MygzlDOMMzwyvDIEMRwwNC94LtQuIC1QLJQsGCvUK6QrcCs8KyQrKCssKxwrBCr0KuQqwCp4KhgpzCmwKcwp/CoUKhgqOCqQKwQrVCtoK3wr2CxcLJgsNCtgKqgqUCoQKWgoNCbwJiAlzCWUJRwkYCOcIvQiYCHUIVQg9CCsIGwgJB/sH8wftB+UH2gfRB88H0AfRB9MH0wfNB7sHnweFB3IHYQdKBy0HEAb7BukG0QazBpMGewZmBk0GLgYOBfMF3AXFBasFkgV9BWUFRgUiBP4E4QTIBK0EjQRtBFIEPAQmBAwD7gPNA6sDiQNpA00DNwMlAxMDAALqAtECtAKVAnoCYgJLAjMCFwH4AdkBtwGRAWcBOAELAOEAuwCUAGcAM//7/8b/lf9o/zz/Dv7f/q3+ev5D/gz92/2z/ZP9dP1S/Sr9Afza/Lb8lfx2/Fj8OPwT++T7q/ts+yz68Pq5+of6V/oo+fj5yPmY+Wf5NvkE+NL4oPhx+Eb4H/f198f3lvdn9z33GPbx9sT2kfZe9i32APXQ9Zv1ZPUy9Qn05/TF9Jz0b/RE9CDz//Pc87bzlvOA83LzZPNP8zjzIfMG8uDypvJh8hzx5vHE8bLxqPGc8YHxUPEQ8M3wlfBq8ErwLvAX8AfwAO/+7//wAvAI8BLwH/Av8EPwWfBv8Hvwe/Bz8HXwkfDM8RrxZPGb8bzxzvHV8c7xuvGh8Y7xf/Fr8UjxJvEb8TXxb/G78hXyfvLp8zXzTPNA80jzjvQK9Ij02PT39QP1FvUr9S/1F/Tq9LX0gvRU9DD0HPQZ9CL0MvRE9FT0XfRa9FD0SfRM9Fr0bfSE9KX00vUH9Tn1YPV99ZX1q/W49bT1n/WB9WT1TvU/9TT1L/Ux9Tn1PPUx9Rz1FfUz9Xz12/Yx9nL2pfbY9xD3SPeB98H4E/h3+OX5VPm/+iX6gvrQ+xP7T/uN+9H8H/x6/N/9Sf2v/gv+YP6t/vD/Kf9a/47/xwAEAD0AcgCoAOQBHwFNAWcBcQFzAXQBdwF/AZIBswHdAgoCOAJoAp4C2AMRA0QDcwOhA84D+gQoBFwEmQTdBSAFWgWIBbEF5AYoBnoGyAcJB0AHeQe9CAgIVQimCP4JUgmGCYMJUAkOCNsItwiDCCQHmAb5BmkGBwXkBf8GPgZ6Bp0GrQa9BtYG7QbzBvIHAQcnB1AHZAdjB2QHfAegB7kHwQfFB9IH3wffB90H+QhJCLkJGglOCV4JaQmBCZ8JugnWCgAKOQpvCpEKnQqdCp4KogqlCqUKoAqbCqAKuArfCwMLFAsWCyYLYQvADB0MUwxiDGcMeQyUDKQMoQygDLYM5A0VDT0NZQ2gDfQOUw6qDvEPKQ9QD1wPSQ8jDwAO8w7+DxYPMA9CD04PVA9ZD2EPcA+GD58Psg+2D6sPoA+mD8IP5w/9D/kP6A/YD8YPkg8gDmkNdgxOCu8JaQf4BvMGmgbqB6EIbgkeCaYKDApYCowKrgrACsUKuwqmCokKZwo7CgMJxwmOCVoJHQjPCHwIOwgfCB4IGQf1B6wHUQcBBs8GugayBqEGfwZWBjgGLAYlBhAF5wWyBX4FUQUmBPwE1gS7BKQEhARWBCMD9wPYA74DnwN7A1cDOAMdAwIC5wLNArYCoQKPAn8CcgJkAk8CMgIQAe0BzAGuAZABcgFSATEBEADzANsAxgCxAJ0AiwB6AGsAWgBKADoALAAbAAX/7P/R/7X/m/+A/2X/TP84/yj/G/8O/wD+8/7o/uH+2/7S/sT+sv6f/o3+fP5s/l7+Uf5E/jT+If4O/f/98f3f/cT9oP17/Vr9P/0o/RL9APzx/OD8zPy0/J38ivx8/HH8Z/xb/FD8RPw6/DL8Kvwk/CD8HPwX/A37/vvt++D73Pvd++D74Pvb+9L7yPu8+7D7pPuZ+5D7iPuA+3n7cvtr+2P7Xfta+1v7X/th+2D7X/th+2r7efuI+5L7lvuZ+6H7qvuw+677p/uk+6j7rvux+6/7rfuw+7X7ufu8+737u/u1+6v7pPum+677s/ur+5j7hft9+337fPt1+2r7Yvth+1/7V/tH+zn7N/tG+177dfuC+4X7g/t/+3z7evt7+4H7jPuX+5z7mvuU+5D7kPuS+5T7lvuY+5v7ofuo+7H7ufu9+777wvvO++D78/wB/Aj8CvwI/Ab8BfwH/BD8Hfws/Dr8SfxX/GP8a/xv/HP8efx//IX8ifyP/Jn8pfyv/LT8uvzE/NH83Pzk/O38+v0J/RP9Fv0X/R79Lf0+/Un9T/1U/V79bP15/YH9h/2O/Zb9nf2l/a79t/27/bz9u/3A/cr91/3f/eP96f30/gP+Ev4c/iT+Kv40/kH+UP5g/nD+gP6P/p3+qf6y/rz+x/7V/uP+7v75/wb/FP8e/yH/If8i/yj/Mv8+/0n/Vf9i/27/eP+B/43/nf+x/8X/2f/q//oACAAYAC8ATQBsAIgAowDAAOEBAQEaAS8BSQFvAZ0BxwHoAgECIQJTApQC0wL3AvgC6ALvAykDjAPtBB0EEAPkA8ADuwPTA/gEIARKBHUEpQTbBRIFQwVmBXoFhgWKBXYFMwS6BB4DkANMA40EcwXkB3wIuglVCYEJxAqEC5gMawx8C8kKzAn/CYsJRQj/CLgIiAh5CIIImAi8COwJEwkTCOsItQiTCIkIhAh2CGMIVQhICC4H/gfFB5QHcgdVBzYHFgb7BuYG0Qa+BrIGrgavBq8GqgamBqMGmwaLBnoGcQZzBncGdAZqBl8GVQZHBjEGFAX6BeUF0QW3BZIFZwU2BP4EvQRwBBkDwAN0A0cDPwNLA0kDHALBAlEB5QGIATEA1gB3ABz/z/+P/1b/Hf7i/qr+ef5S/jT+Gv4B/er92f3P/cf9vv2y/an9oP2S/Xv9YP1L/UH9O/0w/R/9Dv0G/Qj9Df0S/Rf9Hv0l/Sf9Iv0Z/RP9Fv0k/Tv9Vv1z/ZD9rP3G/dn95/31/gn+Kf5S/nz+n/68/tb+9f8c/0z/fv+s/9P/9AAXAEcAhQDGAPwBGgEiAR0BGgEjATwBZgGdAdoCFAJBAl0CbwJ/ApMCrALKAusDEAM2A1gDcwOJA50DtQPSA/IEEAQsBEIEVgRqBIEEngS/BOAE/QUWBSsFQAVYBXMFkAWoBboFzQXlBgQGIAY0BkEGUQZqBoYGngasBrUGwQbNBtUG2AbaBt4G5AbpBu8G+wcKBxUHEwcJBv8G+wb4Bu0G2gbFBrUGpwaaBowGgQZ6BnMGagZgBlgGUgZKBkIGPwZBBkYGSQZIBkkGTQZPBk0GSwZQBl0GaAZrBm4GewaSBp4GjgZwBmoGnAb4B0wHYAcjBrgGYQZUBpoHDQdxB5sHiQdVByMHBgcIBzYHbwecB6gHlQd7B3EHfgeSB6AHpwe2B9AH6gf2B/YH9gf9CAgICwgKCA0IHAgwCD4IRQhOCF0IcgiFCJcIqQi+CNYI8AkLCSQJNwlCCUwJXAl1CY8JoAmqCbYJzQnmCfkKAgoIChEKGAoYChEKDAoNChAKDQoFCgAKCAodCjgKUgppCoEKpgriCzULkgveDAgMEwwVDCQMRQxsDI0MoAynDKQMmQyMDIAMdQxlDEkMIQv0C80LswumC6ULpgufC4kLZgs7Cw4K4wq8CqQKqArNCwYLOwtaC1cLOgsMCtkKpwp6ClUKOgooCh0KFAoMCgoKEAogCjEKPwpNCmMKhwq3CuwLJAtgC5sLxgvRC78LoAuGC3QLYQtECxoK4wqeCk0J9wmpCWwJQwkqCR8JIgkuCToJPwk8CTUJMAkwCTwJVAlxCYoJmwmqCb8J2AnoCe4KAQpBCrILNQuhC+cMHQxaDKEM3gz9DQIM9gzdDLYMgwxODCIL+gvMC5gLagtMCz4LMwsmCxkLFAsZCx8LIQsfCx4LGwsQCvkK3grKCscK0QrfCuYK6gr3CxELLgs8CzYLKgstCz0LRAswCwkK6QrbCs8KpApTCfYJsQmOCXwJYgk5CQsI4Ai4CJMIcghYCEcIOQguCCYIIQgbCBEIBgf/CAAIBQgJCAoIBwf+B+wH1Ae8B6kHmAeDB2gHTQc1ByEHCAbrBswGsAaWBnkGWQY4Bh0GBgXvBdYFvQWlBYsFbAVJBSoFEAT3BNkEtgSUBHgEYgRNBDMEEwPxA9ADsQOUA3sDZANRA0ADLgMYAv0C3gLBAqgClAKAAmkCTwIzAhQB8QHKAZ8BcgFIASAA+ADPAKAAawAz//3/zv+l/3z/Tv8X/tv+oP5r/j/+G/36/dj9sv2J/V79NP0M/Ob8xPyk/IX8Yvw4/Af7z/uV+1n7Hvrm+rL6gvpU+iT59fnG+Zr5bfk9+Qv42fir+H/4VPgm9/T3wveU92z3Sfcl9vv2yfaT9mD2MvYG9db1oPVq9Tv1EvTr9MP0mfRx9E70LfQJ8+bzyfOz86HzjPNx81TzOfMe8v/y2fKp8m/yK/Hk8anxhPF18W7xXvE+8RHw3/Cq8HPwPvAU7/rv7+/u7/Hv9u//8AnwFPAf8CzwPfBP8GDwafBs8HDwhPCz8PvxTPGS8cHx2fHf8dfxxPGq8ZLxe/Ff8TzxGvEN8SHxVfGg8f7yavLU8x7zN/My8zvzdvPb9EH0gPSZ9KP0s/TG9Mn0tPSO9GL0OPQU8/nz7PPt8/Xz/fQC9AHz/PP08/Hz+fQM9CT0O/RR9G70l/TF9Oz1A/UJ9Qf1AfT59On00/S39J30h/R49HD0cPR59Ir0m/Sk9KP0pfS99PT1QvWb9fL2Q/aM9sr2+/ck91L3k/fr+FX4yvlE+cD6Nfqc+vT7QPuH+8z8E/xi/Lz9IP2I/ej+OP50/qL+zf8E/0//pf/vABkAKQA0AFQAjgDRAQQBHgEiAR8BIQEwAU4BdgGlAdYCCQJAAnoCswLpAxoDSQN5A6kD1QQABC4EZQSiBOAFFgVCBWwFngXgBi4GfAbEBwYHRweIB8cIBAhKCJwI7QkfCSAI+AjECJUIWwf4B2AGrwYSBa8FjwWkBdoGFwZHBmEGbAZ4Bo0GowayBrwGzwbuBw8HJwc1B0YHXAdtB3EHbQd0B4YHkweMB4MHnAfrCFgItgjrCQQJGQk1CVIJagmICbcJ9AorCksKVQpWClkKYAprCnQKdgpvCmYKagqHCrIK1QrjCu8LFAtbC60L7AwQDCwMUgx8DJMMkQyDDIIMlgy1DNcNAQ1DDZ0OBA5qDscPFw9SD28PbQ9UDzUPHA8MDwUPCA8RDx0PJw8uDzUPQQ9UD2YPcQ90D3EPdQ+FD6APtg+8D7MPpg+YD3YPGw5xDYIMaAs1CesImAduBrcGogcgB+cIqQlCCbEKCQpPCoEKngqpCqUKlAp5ClgKMwoKCdoJowlpCS8I8giuCGQIHgfnB8EHpweQB3AHQgcKBtIGqAaOBnsGYwZFBioGGgYPBfoF0wWgBW0FQAUXBPEE0gS7BKgEiwReBCcD9QPPA7IDlANzA1ADMAMTAvgC3ALCAqgCjwJ5AmYCWAJLAjwCJQIGAeIBvQGdAYMBawFOASsBBwDnAM8AuwCoAJQAgABvAF8AUABAADEAIwAT//7/5P/H/6v/j/9y/1P/N/8h/xH/Bf75/uv+3v7U/s/+zP7G/rn+pv6O/nf+YP5M/jz+MP4n/hv+C/34/ef92P3G/a/9kv1z/Vb9PP0k/Q78/fzu/OD8zvy3/KH8j/yD/Hn8bvxh/FT8SPw9/DX8Lvwn/CL8HvwY/A/8BPv3++776vvp++f74/vd+9T7yfu7+6z7oPuX+5P7kPuN+4j7gft5+3H7a/tr+3L7fPuC+4D7eft1+337jvud+6P7oPud+6T7sfu6+7f7rvuo+6r7r/uw+6v7qfut+7b7vfu9+7j7s/uw+677q/uo+6b7ofuY+437h/uI+477jfuC+3D7Yftc+137XPtS+0L7Nvs3+0b7W/tr+3H7cftv+2/7cftz+3j7f/uI+477j/uO+477k/uY+5v7nPuc+537ofum+637s/u2+7f7uvvC+9L75vv3/AH8BPwC+/77/fwB/Ar8F/wl/DP8Q/xS/F78ZPxn/Gr8cfx5/H/8gvyF/I78mfyl/K/8uvzH/NT83/zm/O78/f0N/Rn9G/0a/R/9Lf0//Uz9U/1a/Wb9df2C/Yv9kf2W/Zz9ov2p/bP9vf3D/cP9wf3E/cz91/3g/ef97/3+/g/+H/4p/jD+Of5G/lP+Xv5n/nD+ff6O/p7+qv6x/rb+v/7M/tz+6v73/wP/EP8Z/xv/Gf8W/xr/JP8x/z//S/9V/1//af91/4P/k/+j/7T/x//a/+z//AAQACkARwBlAIEAnAC7AN4A/gEYAS0BSQFwAZ4BxwHlAfkCDgIuAlwCjQKvArkCtAK5At4DHwNiA4kDjAOAA38DlwPDA/cELARgBJUEyQT6BSQFQwVVBWEFaQViBTgE3ARWA84DdAN0A/IE9AZWB7wIuwktCV4J2QrkDDANDg0EDDALJQpiCfUJogk4CMoIgwhuCHMIeAiBCJgItQi6CJkIZAg+CDUIPghDCD4IMQgbB/kHywecB3UHVgc4BxsHAwb1BukG2wbKBr0GuQa3BrAGpgaeBpcGigZ1BmAGVgZaBl8GXQZSBkgGPgYuBhMF8gXYBcgFuAWbBW0FMwT1BLIEawQgA9UDlANoA1YDWQNYAzcC5AJqAekBegEjANYAhwA0/+X/n/9h/yP+5f6o/m/+QP4c/gH96/3X/cT9tv2u/af9n/2X/Y79hv13/WL9S/07/Tb9Nv0w/SH9D/0F/QX9Df0X/SH9Kv0v/S/9Kf0h/Rz9Hv0p/Tv9Uv1s/Yf9ov29/df97f4B/hf+M/5W/nv+nf66/tf++P8g/07/fv+t/9f/+gAbAEAAbQCiANsBEAE9AWABdAF4AXABbAF6AaAB1AIEAicCQAJbAoACqgLSAvYDHQNJA3gDoAO5A8gD1wPwBBQEPAReBHgEjQSkBMEE4QUBBSAFPAVVBWsFfwWTBaoFwwXYBecF9QYJBiMGPAZOBloGaAZ/BpkGsAbCBtAG4QbvBvYG+Ab6BwAHCAcMBxEHGwcrBzYHNAckBxMHCAcABvQG4QbOBsAGtgasBqIGmgaVBo4GgwZ2BmwGZQZgBloGVgZYBlwGXwZdBloGWQZYBlYGVgZdBmsGdgZ3BncGggaYBqkGpQaVBpcGvgb+ByoHHgbcBooGVwZfBpwG8Ac5B10HWAc3BxIG/wcLBzUHYAd5B3UHXgdMB08HZAd9B5EHowe4B88H3wfjB+EH5QfyB/0IAAf9CAEIEQgmCDUIPAhCCFAIZAh4CIgImgiwCMwI6AkDCRkJKgk4CUcJXAl2CY8JowmyCcIJ1gnqCfkKAgoKChIKFwoVCg4KBQoBCf0J+AnyCfAJ9woKCiQKQApZCnIKkQrCCwgLWgumC9sL+QwLDB8MPAxaDHYMiAyPDIcMcwxaDEMMMAwbC/8L3Au6C54LiQt9C30LhguPC4kLaQswCuwKrgqICoMKoArUCw0LNAs/CywLBQrXCqwKhgpmCkwKNwooCh0KFQoPChMKIwo7ClIKYQpsCoEKqQrgCxoLUAuDC68LzQvUC8gLswugC40LcwtMCxgK3AqXCkoJ/Am6CYoJbQldCVcJWgllCW8JcwlwCWsJaAltCXsJkwmtCcEJzQnaCe4KBQoTChsKNQp+CvkLgwvwDDEMWQyEDLkM6A0EDQwNBwz3DNkMrwyBDFgMMQwFC9YLrguWC4oLgQt2C20LbQt1C3sLfQt6C3cLcwtnC1ILOQsnCyQLLAs4C0ILTAtcC3ULiguLC3gLXwtWC18LaQtfC0MLJwsWCwMK1QqDCiIJ1AmnCZEJfAlbCTAJBAjZCLAIjQhyCGIIWAhUCFIITghHCDsIMAgsCDIIOgg+CDwINggsCB0ICgf1B+IH0Ae8B6QHiQdwB1gHPwcjBwQG5AbEBqIGgQZjBkkGMAYXBf4F5AXLBbAFkgV0BVoFQgUnBQYE4QS+BKEEiQRxBFYENQQVA/YD2wPDA6sDlAN/A2wDWANAAyQDBwLtAtkCxwKzApsCgQJmAkgCJgIAAdgBrwGGAVsBMAEEANUAogBsADYABv/c/7P/gf9E/wL+xP6U/nD+Uv4z/g794/23/Yz9ZP0//Rr8+PzW/LL8iPxX/CL77fu5+4P7S/sT+t/6rvp/+lD6Ifn2+c75pfl2+UX5Ffjo+Lz4jfhZ+CL37fe995T3cfdQ9y33AvbP9pv2afY79gr11fWf9W31Q/Ud9Pf00PSr9Ij0ZPQ+9Brz/PPn89TzvvOh83/zXPM78x3zBPLq8sTyhvIz8dvxlfFr8VnxUPFD8S3xC/DZ8JnwV/Af7/zv6+/k7+Pv5+/v7/zwCvAY8CTwMPA+8E7wXfBm8GrwcvCO8MnxG/Fv8a7xzfHR8cbxtPGg8YrxcPFO8SXw//Ds8PfxI/Fs8cvyOvKk8vHzEfMU8x7zS/OV89z0BfQR9Bb0JPQ39D/0NfQc8/3z3/PF87DzpPOe85vzlvOO84PzefN183zzk/O289rz9fQH9Br0M/RO9GL0ZvRb9En0OfQu9CT0GfQL8/vz7PPj8+Hz5vP09Aj0IfQ59Er0V/Ro9Iv0xvUZ9X315PZB9oj2uvbg9wr3QveM9+T4Svi9+Tr5uPou+pf69vtO+5776fwz/Ij86v1U/bb+A/43/lz+g/7B/xb/dP+9/93/3P/Y//AALAB5ALoA2wDiAN4A4gD4AR0BSwF8AawB3wIVAkwCgQKzAuQDFwNLA3wDpwPOA/gEKQRgBJoE0AUABS8FYAWaBd0GKAZ3BsUHEAdRB4gHvwf/CEoIjgi0CLAIkAhoCDgH4wdTBpIF1QVVBSoFQgV4BbAF4AYFBh4GLwY9BkoGWQZpBnsGlga4BtoG9AcIBxoHKQcwBy4HLgc7B00HUQc/BzAHSAeUB/oIUwiMCKwIyQjlCP0JEgkzCWcJqAneCf0KCQoQChgKIwowCj8KSwpLCkAKNwpDCmUKjQqoCroK1gsJC0gLgAuqC9UMCgxFDHEMgwx/DHcMdQx6DIcMpAzZDSYNgg3lDkkOqA74Dy8PTA9XD1YPSQ8yDxYPAA72DvcO+w7+DwMPDA8YDyAPJA8pDzUPSQ9gD3EPdw91D3APag9VDxIOhg2tDJ0LdgpJCRoH+AcSBqIGxQdeCCUI2AlbCbgKAQo/CmwKhQqLCoEKbApNCigJ/wnUCaMJbgk2CP4IxwiOCFAIDAfIB4sHYwdUB1UHTAcnBuYGogZxBloGTgY9BiUGDAX2Bd8FvAWQBWAFMwUKBOUExgSwBJ0EhARcBCkD9wPOA64DkQNxA04DLAMNAvAC0gK0ApgCfgJmAlACPAIuAiMCFQH/Ad4BtwGSAXUBXgFEASMA/QDbAMIArwCcAIcAcQBeAE4APwAvACAAEQAA/+v/0v+4/53/gf9j/0T/KP8S/wL+9v7p/tr+zP7D/r/+vf64/qz+mP5//mb+TP41/iH+E/4L/gP99v3l/dH9vv2r/Zb9gP1o/U/9N/0g/Qr8+Pzq/N38zvy8/Kr8m/yP/IX8ePxq/Fr8TfxC/Dn8Mvwt/Cj8I/wd/BX8DPwD+/37+fv0++775/vg+9n7z/vB+7L7pfue+537nfuc+5j7kvuJ+4D7fPuB+5H7pfu0+7T7qfuf+6H7rvu7+7v7r/ul+6b7svu8+7v7svur+6v7rvut+6n7qPuv+7n7vfu3+6/7q/uv+7X7tvuw+6f7n/uZ+5X7lfuY+5v7l/uI+3L7XPtR+1b7Y/ts+2j7WvtN+0z7VPte+2L7Y/tm+277dvt6+3j7dPtz+3b7evuA+4f7j/uV+5n7mvuc+5/7pfuq+677sfuy+7L7s/u6+8f72fvr+/f7/fv8+/n7+fv+/Aj8Ffwh/C38OPxF/FD8VvxZ/Fz8Yvxq/HH8dPx3/H78ivyY/Kb8tPzD/NH82vzh/Or8+f0L/Rj9Hv0f/SX9Mf1A/U39V/1j/XL9gv2N/ZT9l/2b/Z/9pP2q/bP9vf3F/cj9yf3L/dL92v3j/ev9+P4I/hr+Kf4y/jv+Rv5V/mP+bP5x/nb+gf6T/qb+tP65/rr+vv7J/tj+6P71/wH/DP8W/xr/Gf8W/xT/Gf8k/zD/O/9D/0z/V/9m/3j/if+a/6v/v//T/+X/9gAJACMAQQBfAHkAlAC0ANgA+wEXATABTgFzAZ4BxAHhAfYCBwIcAjkCXgKCApwCqQK0AskC6wMSAy8DQgNVA3YDpgPdBBQESQR8BK4E3AUCBR4FMAU7BUIFQgUrBOoEewP4A5IDdAO7BG0FfQbAB+YIpgj4CTYJ3AsQDGoNNw0RDDMLNgqOCjUJ3glfCNcIfghjCGYIZghhCGUIcwhxCFEIIggBB/8IEAgeCBsIBwflB7wHkQdsB08HNgccBwUG9wbxBuoG3AbMBsIGwQa/BrUGowaUBogGegZnBlMGSgZLBk0GRgY7BjIGKAYTBe8FxgWoBZoFiwVqBTQE8gSvBG0EKQPlA6sDgwNzA3MDcgNYAxMCogIZAZYBLQDbAJIAR//6/7D/bP8p/ub+pf5r/jn+Ev3y/dv9y/29/bD9o/2Z/ZP9jv2K/YP9ef1o/VL9Pv0x/S79L/0q/R39Dv0F/QX9Df0Y/ST9Lf0y/TH9LP0o/Sf9Kv0y/T79T/1k/Xz9lv2x/c796/4F/h3+N/5U/nX+l/65/tz/AP8o/0//d/+g/8r/9AAaADwAXACAAK8A7QE4AYcByAHpAekB2QHSAeAB+gIQAhsCJQJAAm8CpwLVAvcDGANHA4MDvQPkA/YEAQQVBDkEYwSKBKkExQTkBQgFKwVIBWAFeQWTBa4FxAXWBegF+wYMBhkGJAYzBkkGXwZwBnwGiAaaBq8GxAbWBukG/AcJBw0HDAcQBxsHKAcxBzUHPQdKB1IHSwc4ByAHDgcABvIG4QbTBssGxgbABrgGsgatBqYGmQaKBn8GegZ3BnMGbgZtBnAGcAZsBmcGZAZjBmIGYgZmBm4GcwZyBnMGgwalBskG4AboBvEHAgcPBwIG1AabBngGeQaVBrgG2Ab1Bw8HHwceBxAHBgcRBx0HPwdRB0oHOAcxBz8HWwd5B5AHpAe2B8UHzAfMB80H1gflB+8H8QfwB/cICQgcCCoIMQg6CEoIYAh0CIMIlAirCMgI5Qj9CRAJIwk2CUwJYgl4CY0Jowm5Cc0J3wnsCfQJ/AoGCg8KFQoVChAKBwn9CfMJ6wnpCe8J+woMCiIKQApjCocKqgrQCv8LOgt6C7IL3gwADBwMNgxNDGAMbgxyDGgMUgw0DBgL/gvmC84LuAunC5oLigt5C28Lcgt8C3gLUwsJCq4KYgpACk4KgQq/CvILCwsHCu8KzgquCpQKgApsClcKQgoyCicKIQohCikKPApWCm0KfAqHCp0KxQr8CzQLZAuKC6cLuQu/C7kLsAulC5YLewtRCxsK3wqbClEKCQnOCagJlAmMCYwJkQmaCaEJowmhCZ4JoAmpCbgJzAngCe4J+AoFChwKNQpIClUKdAq+CzYLvAwnDGYMiAykDMYM5gz6DQINAgz6DOcMyAylDIIMYAw8DBcL+QvmC9oL0AvJC8gLzgvVC9YL0QvJC8QLvwu2C6gLlwuJC4MLhQuNC5kLpwu2C8QLyQu+C6ULjQuGC5ILoAubC30LVAsuCwoK1wqLCjMJ6Am7CaUJkwl4CVAJIgj1CM0IrAiVCIcIgQh+CH0IeQhzCGoIZAhkCGoIcQhxCGsIYQhYCE8IQwgxCBwIBwfzB9wHwwenB4wHcQdVBzYHFAbwBs4GrwaTBnkGXgZDBigGDQXyBdUFuQWgBYkFcQVVBTMFDgTsBM4EsgSWBHkEWgQ8BCEECAPxA9oDwgOrA5QDfgNkA0kDMAMcAwsC+gLkAsoCsAKXAnsCXAI4AhIB6wHCAZUBZQE2AQgA2QCmAHEAPwAP/97/p/9o/yr+8/7K/qn+i/5n/j3+Dv3g/bb9kP1u/U79Lf0K/OD8rvx2/D78DPve+6/7e/tF+xD64Pqx+oL6Vfos+gX53fmv+X35T/km+Pz4zfiX+GD4K/f69833pfeC92H3O/cN9tn2pPZx9j32BvXP9Z/1dvVQ9Sn0//TX9LL0jfRn9EH0I/QN8/vz5fPK86jzgvNc8zvzJPMW8wXy4PKe8kbx7fGk8XDxUPE88S7xHPD78MrwjvBV8CnwC+/67/Lv8+/58APwD/Ab8CjwNPBB8E7wXvBp8GrwZvBu8JPw2PEp8Wrxi/GO8YLxdPFo8VrxQ/Ef8PHwxfCs8LHw2fEg8X7x6vJT8qTy0fLk8vbzG/NR84Hzm/Oi86fztfPK89fz0/O9857zffNe80TzMPMf8xHzBPL78vby9PL48wXzH/NF82vziPOZ86Tzr/O587vzs/Oj85Lzh/OE84TzhfOC833zePN4837zi/Oc87DzyPPk8/70E/Qj9Dn0YPSj9QD1a/XQ9iP2YvaX9sz3CfdL95L34fg/+Kz5IPmU+gL6bfrU+zb7kPvo/ET8qv0T/XL9vf3z/iH+Vf6a/ur/N/9u/4j/j/+Z/7v/+ABAAH0AnwCpAKoAswDMAPUBJgFYAYkBuQHrAh0CTgJ/ArQC6wMiA1IDegOfA8YD8gQkBFoEkwTKBP0FKwVYBY4F0gYlBn0GzgcSB0sHhQfJCBAISAhdCE4ILQgDB8QHUQaeBcwFHgTJBNAFDAVKBXUFlAWxBdIF7gYABgwGFgYlBjsGWQZ6BpgGsAbBBtEG3wboBu8G+QcIBxIHDAb3BuwHBwdOB6kH+AgtCFIIcgiNCKEItgjbCRYJWAmNCasJvAnLCdwJ6gn3CgoKIQoyCjIKKAokCjMKUQpuCocKpArLCvgLIAtCC2gLngviDCQMVwx0DH4MeAxpDF4MYgx/DLEM9A1FDaEOBA5iDq8O7A8cD0EPUg9LDzIPFQ8ADvIO6A7fDtsO3A7dDtoO1w7hDvwPHA8zDzYPLQ8lDyQPHA7wDoMNzQzcC8wKswmWCH4HgwbWBqMG8AeXCFQI8wllCbUJ9AooCk0KYAphClYKQAoiCf0J0AmdCWYJMAj8CMoImAhnCDQH+we6B3oHTAc/B08HXAdEBv4GpgZhBkIGPAY1Bh4F/QXeBcIFpAV9BVAFIwT5BNIEsgSZBIQEbARKBB8D8wPNA60DjgNtA0kDKAMJAukCyAKmAogCcAJaAkICKQITAgYB/wHzAdoBtAGKAWYBSwEwARAA7gDQALoAqACVAH0AYwBMADkAKgAaAAr/+f/l/8//uP+h/4n/cf9W/zr/If8M/vz+7/7h/tL+xP66/rT+r/6m/pj+hf5w/ln+Qf4m/g39+f3t/eb93f3O/br9pf2T/YH9b/1a/UP9K/0V/QH88Pzi/Nf8y/y//LL8pfya/I/8g/x1/Gf8WfxN/EP8O/w2/DL8Lvwo/CH8GPwR/Av8Bvv/+/f77/vn++D71vvJ+7v7sPuq+6f7p/um+6P7nvuW+477iPuN+5/7ufvN+9P7yfu8+7j7wPvI+8f7uvus+6n7sfu4+7f7r/uo+6f7qPun+6b7qfux+7j7t/ut+6X7p/uz+7/7wfu6+6/7qPul+6X7ovud+5j7kfuE+277VPtC+0L7Vvtv+3z7eftr+2D7Xfte+177Xvtk+3P7gfuF+3v7a/tg+2D7aPty+3v7gfuF+4f7ivuP+5n7o/us+7H7svux+6/7sfu2+7/7zPva++f78Pv1+/b7+fv+/Aj8Ffwf/Cj8MPw4/ED8R/xK/Ez8UfxX/F78Yvxm/Gz8dvyD/JL8ofyw/L38yfzT/N/87/0B/RP9H/0o/TD9Of1D/U39Wf1o/Xn9iP2R/ZT9lv2Y/Zv9n/2j/an9sv28/cP9yP3N/dP93P3m/fL+Af4S/iH+Lf42/kD+Tv5e/m3+eP5//oX+kP6h/rT+wv7I/sj+yP7N/tj+5P7v/vn/Av8N/xb/G/8a/xb/Ff8a/yP/Lf81/z7/Sf9a/23/gP+S/6f/vv/U/+b/9QAHACAAPwBdAHgAlAC0ANkA/QEcATkBWAF8AZ8BwAHeAfgCDwImAj8CXwKGAqsCxwLaAuwDAgMdAzcDUwN1A6ED1AQGBDUEYgSOBLkE3QT4BQkFFQUeBSIFFQToBJAEGAOnA28DkwQbBPcGCAcgCAQIiwjHCRAJxwr1DCkMxgyFC7AK3AplCjMJ8gl4COgIgQhZCFUIUwhMCEgIRwg6CBgH7wfXB9gH5gftB+IHxgefB3YHUwc7By4HIAcPBv0G8gbtBuUG1gbIBsUGygbKBrwGowaNBn8GcwZjBlEGRgY/BjcGKwYeBhYGCQXsBbwFigVpBVwFTQUpBPAErwRxBDYD+gO/A5IDfgOAA4UDdAM9AtwCXQHYAWIBAgCxAGMAFP/H/3//Ov71/q/+b/49/hb99v3b/cf9u/21/a79o/2X/Y/9jf2M/Yf9e/1n/VL9P/00/S/9Kv0j/Rj9Df0G/QT9CP0R/R79Kf0w/TD9Lf0s/S79M/04/T/9TP1e/XX9jP2n/cT94/4A/hr+M/5P/m/+kv63/tz/Av8n/0r/bP+Q/7r/5wATADgAVABtAI0AwgESAXMB0wIZAj0CSAJOAlkCYQJbAkgCPQJQAoMCwALtAwcDHgNJA4sD0QQGBCAELQQ+BF0EhgStBM4E7wUVBT4FYQV7BY4FpAXBBeIF/QYQBh4GLQY7BkgGUgZfBnIGiAacBqsGtwbFBtMG4AbvBwAHEQccBxsHFgcYByUHNwdEB0oHTgdUB1YHTwc+BysHGgcNBv0G7gbjBt4G2wbUBssGxAa/BrcGqQaZBo0GiQaJBoYGggaCBoMGggZ8BnUGcgZ0BnYGdQZyBnAGbgZrBnAGhwaxBt8HAgcTBxgHFgcEBtsGpgaCBoYGqAbIBs8GwwbABtUG9gcLBwgG/QcCBvEHEAcjByUHIQcnBzwHWAdyB4UHlAegB6kHrwe0B7wHyAfVB90H4QflB/AIAQgSCB0IJwg1CEsIYgh2CIYIlgitCMoI5Qj6CQwJHwk3CVEJaAl6CY0JpQm/CdYJ5QnsCfEJ+QoECg0KEQoSChAKCgn9Ce0J5AnnCfYKBwoWCikKSAp2CqkK1Ar0CxELMwtgC5ELvwvoDAgMIAwyDEAMSwxSDE4MPgwlDAoL8AvYC8ULtwutC54LhAthC0MLNAsyCykLAQq5CmYKKgodCkEKfQq2CtcK3grSCr8KrQqfCpYKjQqBCm8KWgpJCkAKPgpBCkkKWApsCoEKkgqhCrgK3QsOCz4LZQuBC5YLowuoC6ULnwuWC4gLcAtMCxwK4wqiClwKGQnlCcUJuAm4Cb0JxQnOCdMJ1AnSCdIJ2AnjCfEKAAoOChcKIAovCkgKZgqBCpYKtwr6C2AL1Qw4DHcMmgy0DM0M4wzxDPYM9QzxDOcM1wzBDKcMjQxzDFwMSAw3DCcMGwwXDB0MKAwtDCcMHAwSDAsMBwwCC/0L9wvwC+gL4wvnC/MMAwwMDAsMAAvuC9kLyQvGC9EL3AvSC6kLbQsvCvoKxgqGCj4J/QnSCbsJqgmPCWYJNwkLCOgIzgi9CLMIrgipCKUIoQifCJ0IngigCKQIpgihCJcIjQiHCIQIfAhsCFUIPAgmCBEH+AfbB70HnweCB2MHQQcdBv0G4QbHBqwGjgZwBlMGNwYZBfwF4AXIBbIFmQV7BVoFOAUZBPsE3AS9BJ8EgwRnBE0EMwQbBAQD7QPVA70DpQONA3UDYANQA0EDLgMWAvsC4gLMArMClQJxAkwCJwH9Ac8BnAFrAT4BEgDjALEAegBCAAb/yf+O/1v/Mv8Q/u7+yf6e/m/+Pv4P/eP9vv2e/YH9Y/09/Q781vya/GP8NfwM++H7r/t6+0f7GPrq+rv6jvpk+jz6E/nk+bL5hfld+Tb5CfjX+KP4cfhB+BL35Pe795b3b/dC9w/22van9nH2OvYE9dX1rvWH9Vv1K/T+9Nf0tfSR9G30TvQ19B/0CfPu88/zrfOI82TzRvM18yrzGPLw8q/yXfIJ8b3xgPFW8T/xMvEl8Qvw4vCv8HrwT/A08CzwL/Az8DHwLvAu8DXwQfBM8FbwYfBp8GnwYfBc8GvwlfDP8QDxGvEc8RLxB/EB8Pnw5/DH8JzwcfBY8F7whfDH8R3xfPHb8izyZ/KQ8rTy3/MS8z7zWfNl827zffOO85bzivNq8zvzB/LZ8rXym/KH8nfybfJs8nXygfKN8pnyqvLD8uDy+fMM8xnzIvMn8yXzHPMS8wvzCfMK8w7zEfMU8xbzGvMj8zPzSfNh83nzkvOu88vz5vP69Av0I/RO9JL06fVI9aD17/Y49oH2y/cS91T3lffd+DL4kvj1+Vn5v/op+pb7BPtz++P8VfzB/Rz9Zv2l/ef+Mv6A/sX++P8Z/zH/TP9w/5//1QALADsAXQBxAH4AjgCrANYBCAE7AWsBmAHFAfUCJwJbApMCzAMCAy8DVgN6A6ADyAPzBCQEWwSYBNAE/AUhBUwFigXeBj0GlQbeBx0HWwegB+IIDQgUB/oHzQeRBzYGpQXkBR0EkQRnBJAE2QUTBTEFRQVgBYQFpQW9BcwF3AXwBgoGJwZDBlsGbAZ5BoYGkwahBqwGtwbABsQGvwa1BrcG1QcQB1YHlgfIB/EIFQgxCEUIXQiGCMQJBgk4CVcJbAmECZ0JsAm/CdUJ+AoeCjQKNAopCiIKKQo6ClIKcQqXCrwK2QruCwYLLQtqC7cMBgxJDHQMfwxuDFQMRAxIDGAMhwy/DQsNZg3HDiEOcQ64DvQPHg8vDywPHw8PDv0O5w7QDsAOtg6rDp0OlQ6gDsAO5Q72Du0O1w7HDsAOpg5ZDcgM/gwTCxwKGgkNCAIHJQapBqwHHAfICHMI/QlgCakJ4QoLCiYKMAouCiEKDQnwCcsJmwljCSgI8QjBCJQIZgg2CAoH3QerB3IHQwcyB0UHXwdXBxgGtwZgBjEGIwYcBggF5gXEBaYFigVmBTsFDATgBLsEnQSFBG8EVQQyBAsD5gPFA6YDhANgAzwDHQMCAuQCvwKYAngCYwJSAjwCHwIBAe0B5QHfAc0BrAGBAVcBNQEXAPkA3ADEALMApQCSAHcAWQA8ACUAEwAE//T/4f/M/7X/nv+I/3X/Yf9L/zP/Hf8I/vb+5/7Z/s3+w/66/rD+pf6V/oP+cf5e/kz+Nf4a/fz94v3R/cj9v/2z/aL9kf2C/XP9Yv1N/TT9HP0G/PT85vza/ND8x/y+/LP8qPyc/JH8h/x9/HL8Z/xb/FD8R/xC/D/8O/w2/C78JPwc/BX8DvwH+//79vvt++T72fvN+8H7uPux+637qvup+6j7pvuh+5n7kPuN+5X7qPu7+8T7v/u0+677sfu4+7n7s/uq+6f7q/uu+6z7pvug+577nfuc+537ofup+637qfui+6D7qvu7+8f7x/u9+7L7q/uq+6j7ovuY+477iPuB+3L7WvtA+zL7OftP+2X7b/tt+2j7Zvtj+137Wftf+2/7gPuE+3b7YvtW+1n7Zftv+3L7cPtv+3H7dvt/+4r7l/uj+6z7r/uw+7H7tPu5+7/7xvvO+9f74vvs+/T7+vwA/An8Ffwf/Cb8K/wx/Dj8PvxB/EL8RPxJ/FD8VvxZ/Fz8Yvxr/Hb8g/yR/KH8sfzB/NH84fzz/Qb9Gf0q/Tb9P/1F/U39Wf1p/Xv9iv2S/Zb9l/2a/Z39oP2i/ab9rP20/b39xf3L/dH92v3m/ff+Cf4a/ib+MP45/kb+Vf5l/nX+g/6O/pn+pP6x/sD+zv7W/tj+1v7W/tr+4v7o/u7+9f8B/xD/HP8f/xr/Ff8W/x7/KP8x/zn/RP9U/2b/ef+N/6P/u//S/+T/8wAGACAAPwBdAHkAlgC4ANwBAAEhAUEBYwGEAaIBvAHXAfYCFwI3AlUCdQKaAr8C3gL2AwwDJgNDA2EDfwOiA8oD9QQdBEMEagSUBLsE1wToBPIE/AUFBQEE4QSaBC0DuANoA2oD0wSVBY4GkQd0CBcIbwihCPgJtArBC7YMFwu+Cv4KWgoYChQJ+gmcCRUIoAhbCD4IMggrCCcIHwgKB+YHwgeuB6sHrweqB5kHfgddBzsHIgcXBxcHFgcNBv0G8AbmBtsGzQbEBscG0AbSBsQGrQabBpAGhwZ2BmAGSwY4BiQGDwX9Be8F2wW0BXwFRwUnBRsFCwTlBKsEbwQ6BAkD0wOfA3sDcwN6A3cDUQMBApECFgGhAT0A5QCRADz/5/+a/1X/E/7O/or+UP4m/gj97v3V/cH9uP24/bb9rv2h/Zf9lP2S/Yz9ff1p/Vb9SP0//Tj9L/0l/Rv9Ev0L/Qb9BP0J/RX9Iv0s/TD9Mf0z/Tf9O/0+/UH9S/1a/W/9hv2g/b393P37/hf+Mv5N/mv+jP6s/s7+8f8W/zz/Yf+I/7L/3wAKADEATwBoAIQArQDsAUABnAHtAigCUgJ0ApECoAKZAoMCdQKHArkC8wMbAy0DPANgA54D5gQgBEEEVARnBIMEpwTKBOkFCQUvBVgFewWUBaYFvAXaBfwGGwYwBkEGUAZgBm4GeQaFBpcGrQbEBtgG6Ab1Bv4HAwcLBxcHJgcuBysHIgcfBygHOAdGB0wHTQdNB0wHSQdBBzkHMAckBxYHBwb9BvcG8AbmBtoG0wbPBskGvAaqBp4GmAaWBpQGkgaTBpYGkwaJBn8GfQaDBokGiAaCBnsGeAZ5BoMGmwa/BuMG9wb3BuwG3QbLBq8GlAaMBqMGyQbeBtEGswamBroG3wb0Bu4G3QbbBsgG4wb2BwEHCwccBzQHSwddB2sHdgeAB4gHkgedB6oHtwfBB8kH0QfdB+0H/ggNCBoIKAg8CFQIbAh/CI4Ingi0CNAI6wkACRAJIgk4CVIJaQl9CZAJqQnDCdoJ5gnsCfIJ/AoICg4KDgoMCgoKBgn6CeoJ4QnoCfwKEAofCi8KTgqACrkK6wsMCyMLOgtXC3kLmwu8C9oL9AwLDB0MLQw6DD0MNAwhDAsL9gvlC9YLxQuqC4ELSQsNCtwKwAq1CqgKjApgCjYKJwo+CnEKpwrJCtAKxQq2CqsKpgqlCqUKowqcCpAKgApyCmoKaQpqCm0KdAqCCpQKqAq9CtYK9wsdC0ILXwt2C4kLmAugC54LlguKC3sLZQtGCxwK5wqpCmcKLAoACecJ3wniCeoJ9QoACgYKBwoHCgkKEAobCicKMgo7CkMKTQpdCngKmgq8CtoK/Qs0C4UL5Aw8DHwMpgzEDN4M8gz7DPoM9QzwDO4M7AzjDNEMvQyrDKAMlgyHDHMMZAxjDG4Megx9DHQMaQxhDFwMVgxRDFIMWAxbDFMMRwxFDFEMYgxoDF0MSQw2DCcMGQwNDAYMAAvrC7wLdwsvCvMKwwqQClYKHAnwCdUJvgmeCXIJQwkbCP4I7AjiCNwI2AjSCMwIxwjHCMsI0QjVCNYI0wjOCMYIvgi6CLcIsAigCIgIbQhVCEEIKggNB+wHzAevB5AHbwdMBy0HEQb3BtkGugaaBnwGXwZABiIGBwXwBdkFvQWcBXoFXAVBBSQFBATlBMgErgSTBHcEWgRABCkEEwP8A+YD0AO8A6gDmAOJA3gDYwNJAy4DFwMDAuwCzgKrAoYCYQI5AgsB2AGlAXgBTQEhAO8AtQB0ADD/8f+9/5f/ef9b/zT/Bv7W/qb+dv5G/hn98/3U/bf9lv1r/Tb8+/zC/JH8aPxC/Bj75vux+3/7Uvsl+vb6x/qc+nP6Sfoa+ej5uvmR+Wv5P/kO+Nv4q/h8+E74Iff298z3ofdw9z33Cvba9qf2cvY+9hH16vXC9ZT1YfUx9Qv06/TM9Kn0iPRr9FD0NvQZ8/zz4PPB853zePNY80HzL/MV8uzys/Jv8ifx4fGl8XrxYfFV8UnxLvEA8MfwlvB98H7wivCO8H/wZfBR8EzwUvBY8FrwWvBc8F7wW/BU8FPwX/B38JDwofCm8KPwnPCT8Inwe/Bk8ETwJvAV8B/wRPB88L7xBPFM8ZLx0vIM8kPyfPK18ubzCPMc8yjzMvM38zHzFvLn8qvybfI68hnyBvH68fHx7fHz8gPyGPIp8jTyPPJI8ljya/J+8pDyofKt8rLysfKw8rLytPK28rfyu/LD8s/y3fLt8wPzIfNE82fziPOm88Pz4PP59A30H/Q29Fz0lfTe9S71fvXP9iT2e/bO9xj3V/eT99T4Hvhs+L35Evlu+df6TPrL+1L72PxS/Lf9CP1T/ab+Av5Z/pj+vP7R/u3/Gf9O/37/pf/H/+sAEwA4AFcAcgCTAMAA9QEnAVQBfAGmAdUCCQJAAngCrQLdAwgDLwNWA34DowPHA+8EIwRhBJ4E0AT2BR4FWQWsBhAGdAbJBxAHTQeGB7YHzwfIB6IHYQcHBosF5gUsBIgEKgQkBFwEowTVBO8FBAUgBUEFXgV1BYsFpgXEBeIF/AYSBiYGNQZABkoGVgZgBmcGaAZpBmwGcQZ5BoYGnwbEBvIHJgdaB48HvQfeB/MICQgwCGkIpgjXCPkJFQk1CVQJbQmACZsJxwn+CioKPQo1CiEKEAoNChwKPApnCpAKrgq/CswK4gsMC00Lnwv1DDgMWQxXDEAMKwwkDC4MRAxoDJ8M7A1GDaEN9g5DDoQOtw7bDvIPAA8FDvsO4w7GDq4OnA6KDnMOYQ5iDnoOlw6iDpMOdg5aDj0OBg2aDPgMNAtkCooJmQiPB44GzwaGBrwHSgf0CIsI/wlWCZgJygnqCfsJ/gn5CeoJ0wm0CYsJWAkeCOMIsAiGCF4IMQgCB9kHtweRB2AHLwcXByYHSQdUBykGzgZqBiMGAQXyBeEFyAWrBY8FcwVPBSIE8ATDBKAEiQR4BGUESAQgA/UD0QO0A5gDdgNOAygDDAL1AtwCtwKOAmoCUwJFAjMCFgH2AdwBzgHFAbYBmgFzAUoBJAECAOUAzAC5AKwAnwCMAHEAUQAwABP//f/t/97/zf+5/6P/jf94/2X/Uv8//yv/Fv8A/uv+2f7N/sb+wf67/rD+oP6M/nb+Yf5O/jz+Jv4L/ez90P28/a/9pv2a/Y39gP11/Wn9Wv1F/Sv9Evz8/Or83fzR/Mj8v/y2/Kv8oPyU/Ir8gfx6/HP8bPxj/Fn8UfxM/Ej8Q/w8/DP8KPwf/Bb8DvwH+//79vvr+9/70/vI+8D7uPux+6v7p/ul+6b7qPun+6H7l/uM+4j7jfuY+6D7oPub+5b7mPue+6P7pPui+6H7ovui+5/7mvuX+5T7kvuQ+5H7lfua+5z7mvuZ+6D7r/vA+8n7xvu7+677pfug+537mfuT+4z7ifuI+4L7cvtW+zv7LPsu+zv7SvtV+137Yftf+1X7TPtO+177cPt1+2r7W/tX+2L7cPt0+277Y/tg+2b7cPt4+3/7h/uR+5z7pvut+7P7ufvA+8X7yPvL+9D72fvm+/L7+vwB/An8FPwe/CX8Kvwu/DX8O/w//D/8QPxE/Ez8U/xX/Fj8Wfxe/GX8bvx6/Iv8n/yz/MT80fze/PD9BP0Z/Sr9Nf09/Uf9U/1k/Xb9h/2U/Zz9ov2m/ar9rf2w/bP9t/2+/cf9zv3T/db92/3n/fn+Df4e/in+M/4+/kz+XP5r/nj+h/6W/qX+sf67/sb+0f7b/t/+3v7c/t3+4f7l/un+7/77/wv/Gf8f/xz/Fv8W/x3/J/8v/zf/Q/9T/2b/ef+L/57/sv/H/9n/7AADAB8APQBaAHUAkwC2ANsA/gEfAUEBZgGJAaQBugHSAfMCGQJAAmMChQKmAsYC4AL2Aw8DLgNRA3EDkAOwA9UD+wQfBEIEaASSBLgEzwTZBN8E6QTwBOEEqQRGA8wDZwNHA44EPAUuBjEHEwe3CBgISwiBCPAJsgqfC1oLiQsmCoEKBwnsCgoKFQnaCWQI4Qh2CDAICwf+B/sH8gfYB7MHkgd+B3YHbwdlB1kHSgc1BxwHCAcCBwkHEQcMBv0G6gbbBs4Gwwa/BsQGzAbPBskGwAa8Br0GtgahBoMGZAZHBicGBQXlBckFqAV6BUEFEQT3BO0E2gSwBHQEOwQMA+ADrwN/A2IDXANdA0gDDAKsAjsBzwFvARgAxABsABL/vv91/zT+9/64/nv+SP4k/gv99P3b/cj9v/2//cD9uv2u/aP9nP2X/Y79ff1q/Vr9UP1L/UX9PP0y/Sf9H/0X/Q/9Cf0J/RH9Hv0q/TL9OP0//UX9Sf1J/Uj9Tf1a/Wz9gv2b/bj92P35/hf+Mv5N/mf+gf6a/rX+1f78/yj/V/+F/7L/2wACACYASABpAIsAsgDjAR8BYgGgAdcCCAI5AmoCkQKjAqUCqwLEAvIDIwNEA1QDYgOCA7cD9gQuBFUEcASKBKgEyQToBQIFHQU9BWEFhAWgBbYFzQXpBggGJwZABlUGaQZ8Bo4GnAapBrgGzAbiBvkHDgceByUHJgcoBzAHPgdIB0cHPAcyBzMHPQdIB04HTwdOB00HTAdMB0oHRAc4BygHGgcRBwsHAQb0BucG4gbhBtwG0AbBBrYGsAaqBqQGnwaiBqYGogaVBocGhAaMBpMGkgaKBoYGiwaVBqMGtgbNBt8G3gbIBqoGlQaPBpEGlgakBroG0AbVBsIGqQahBrQGzgbXBsoGuAa1BrUGxQbTBuAG9AcNByUHNwdFB1IHXQdnB28HeQeGB5QHoAeqB7UHxQfYB+wH/ggPCCAINQhLCGMIeQiNCJ4IrgjDCNwI9wkOCR8JLgk/CVQJawmBCZYJrQnFCdgJ4wnpCfEJ/goKCg4KCAoBCf4J/Qn3Ce4J6QnyCgUKGQooCjgKUwp+CrAK3QsBCx4LOQtRC2MLcQuEC6ALxAvqDAkMIAwtDDAMKAwZDAkL/wv5C+8L0QuZC0sK9AqrCnsKZQpcClQKSAo+CkIKXQqKCroK2grhCtQKwQq0CrIKtgq5CrsKvAq7CrcKrwqmCp4KmQqVCpMKlAqcCqsKwArZCvYLFgs1C08LZAt2C4oLnAuoC6oLpAuYC4cLcQtPCyIK6wquCnQKQwoiChEKDAoPChYKIAotCjcKOwo9CkEKSgpVCmAKaApvCncKgwqVCrAK1Ar6Cx8LRQt1C7cMBQxTDJIMwAzhDPwNEA0ZDRUNDA0IDQwNFA0TDQUM8QziDN8M3wzVDMMMtAy1DMIMzQzMDMMMvQy8DLcMqwyhDKYMuAzFDL4MpwyYDJ8MsQy7DLIMoAyQDIEMaAxEDCAMAwvmC7sLews0CvkKywqgCm0KOAoLCeoJywmkCXQJRwkmCRIJBwkACP4I/Qj6CPQI7gjsCPEI+Aj8CPwI+gj5CPYI8QjqCOMI2QjJCLEIlgh/CGwIVwg8CBwH+wfdB78Hngd7B1oHOwceBv8G3wbABqMGhQZnBkgGLgYXBf8F4AW8BZsFfwVmBUsFLAUNBPIE2QS9BJ0EfgRiBEsENgQiBA4D/QPtA90DzQO9A6sDlQN7A2EDSwM4AyIDBwLlAsECnQJ2AkgCFAHiAbMBiQFcAScA6ACgAFkAHf/y/9f/v/+d/3D/PP8K/tz+sP6C/lb+MP4Q/e/9xf2R/Vf9IPzu/MX8oPx7/E/8HPvn+7b7ivtf+zL7BPrX+q/6hvpY+iX59fnK+aL5d/lF+RD43Pis+IH4V/gw+Ab32Pej9233O/cM9tz2qfZ29kr2I/X89c/1nPVt9Uf1KPUH9OT0wfSi9Ib0aPRI9Cr0EPP389fzr/OE81/zQfMm8wny5vK98o3yU/IT8dXxpvGJ8XfxXfEy8Pzwz/C98Mfw2vDb8MPwnPB78G3wbPBo8F3wUPBJ8EzwUfBR8EnwPvA48DzwSfBa8GTwYfBT8EDwL/Ag8BHwAu/98ArwKfBS8Hzwo/DN8P3xNPFv8arx5vIf8lDydPKJ8pLylPKN8nryWfIq8fPxwfGe8Y3xi/GM8Yrxh/GL8ZnxrfHB8dDx2/Hl8fHx/vIP8iPyOfJO8lzyZfJr8nLyd/J78oDyivKe8rfyz/Lk8vzzHPNF83Lzm/O889jz8/QP9Cn0PfRN9GH0gvSy9O31LfVy9cD2F/Zx9sL3BPc692/3q/fu+DL4dvi++RL5evn4+or7J/u//EP8rv0J/WP9wP4W/lT+eP6R/rP+5P8a/0L/XP90/5j/ywAAACwAUQB6AKwA5AEYAUEBZAGKAbcB6gIfAlICgQKsAtUC/gMnA1EDdwOZA7wD6gQmBGYEnwTMBPcFLwWABesGYQbOByMHXAd9B40HjQd3B0MG6QZrBc4FIQSABA0D3wPzBCwEZgSRBK4EygTpBQUFGwUwBU0FcQWVBbAFwwXTBeUF9gYDBg4GGQYiBiQGIAYcBiAGLgZABk4GWQZpBocGuAb4BzsHcweXB6oHuQfVCAIINwhoCJEItgjcCQEJHwk6CVsJiwnJCgMKJwotChoJ/wnuCfEKDQo5CmgKjQqmCrYKxgrfCwgLQwuJC8oL9gwFC/4L9Av0DAAMEwwtDFUMkAzcDTANgQ3JDgcOPA5sDpoOww7dDuEOzw60Dp0OjA54DloOOg4nDikONg46DikOBw3ZDZwNQgzEDCkLgQrQCggJGggRByIGjgZ9BuAHfwgfCKAJAAlLCYcJsAnGCc4JzgnGCbYJmglzCUQJDQjSCJsIbQhJCCYH/QfRB6sHjAdrBzwHCAbnBuwHDgcnBxQGzQZtBhgF4gXHBbkFqgWXBX8FYgU9BQ8E2wSpBIQEcARoBFsEPQQPA90DtwOfA4kDagM/AxUC9wLiAswCrAKFAl8CRQI0AiICCQHrAc8BugGrAZsBhAFlAUABGQD1ANcAwACwAKMAlACBAGcASAAmAAb/6//W/8j/u/+s/5r/hf9w/1r/Rf8x/x3/Cv70/t/+zP7B/rz+uf60/qr+mv6G/m/+WP5B/iv+Ff37/d/9xP2t/Z79k/2I/X39cv1o/V79UP0+/Sj9EPz6/Of81vzI/Lz8sfyn/Jz8kfyG/Hz8dPxt/Gn8ZPxf/Fn8U/xO/En8Qvw4/C78JPwb/BP8CvwC+/n78Pvk+9b7yvvB+7v7tfut+6X7nvuc+537n/ui+6H7nPuU+4z7h/uJ+477kfuS+5L7k/uX+5z7nvue+537m/uZ+5X7kvuQ+477i/uK+4r7jfuP+5H7kvuY+6L7r/u6+7/7wPu8+7L7ovuU+4z7i/uO+477i/uJ+4n7hPt0+1j7PPss+yr7M/tB+077VftS+0f7PPs8+0r7XPtk+177V/tc+2v7eft2+2X7VftV+2T7dvuB+4L7gfuH+5P7ofut+7b7vPvD+8n7zPvO+9L72fvk++/7+fwB/An8E/wc/CP8KPwt/DP8Ofw9/D38PvxD/Ez8Vfxb/F38YPxj/Gj8bvx2/IX8mfyt/Lz8w/zJ/NX86Pz9/RD9Hv0q/Tf9Rv1W/Wf9ef2L/Zr9pP2r/bD9tv28/cP9yf3R/dr94v3m/eX95v3s/fv+Df4c/ij+Mf4+/kz+W/5m/nH+fv6P/qH+sP67/sT+zv7W/tr+2v7Y/tr+3/7k/uj+7f72/wP/EP8V/xT/Ef8S/xn/Iv8q/zP/Qf9T/2n/e/+K/5f/pv+3/8v/4f/8ABkANwBSAG0AjQCyANYA+AEYATsBYgGHAaUBvgHXAfcCHQJDAmcCiQKqAscC3gLyAwoDKgNMA2wDiQOqA9AD9wQbBDwEYQSKBK4EwgTJBM4E2ATbBL0EbQP2A34DPANbA+sE1QXlBtsHjAfqCA4IJghlCOwJtAqICxgLLQrTClEJ+wn1CiAKOgoVCa0JIgiZCC8H8gfaB9QHyAerB4UHZQdRB0QHOQcwBysHKQchBw4G+wb1Bv0HCQcIBvoG5QbSBsUGuwa3BrcGuwa+BsAGxwbVBuEG4AbNBq8GkQZxBksGHAXqBboFigVUBR8E9wTlBNsExASTBFQEGQPpA70DjgNiA0UDOAMpAv4CrwJLAecBjwFAAPAAmgBA/+n/m/9Z/x7+5v6u/nr+T/4w/hn+A/3t/dr9zv3J/cb9wP23/a79p/2g/ZT9hP1y/WP9Wv1W/VL9S/1B/TX9LP0k/Rz9Fv0T/RX9Hf0o/TP9Pv1J/VL9Vv1V/VP9Vf1d/Wz9f/2X/bL90v3y/hL+L/5J/mL+eP6O/qb+xf7s/xr/Tf+B/7H/3AAAACIARABrAJQAwQDwASEBUAF7AaEByAH4AjACZwKTArICzQLvAxgDQANdA3ADhAOjA9AEAgQzBF0EgQSkBMcE6QUGBR4FNAVNBW0FjwWwBcwF5AX9BhgGNAZPBmkGgQaZBq8GwQbQBt4G7Ab9BxIHKAc6B0MHRQdHB08HXQdqB2sHYAdSB0wHUAdZB2AHYwdjB2MHZAdjB18HVAdEBzQHKAcjBx4HFAcGBvoG9AbxBusG4AbWBtIGzwbHBrwGtAa2BrwGuQasBpwGmAacBp4GlQaKBogGlQanBrYGwQbNBtcG1Aa+Bp8GigaKBpsGrwa9BsUGxQa8Bq0GogalBrQGwgbABrEGpQamBq0GtQa9BswG5gcCBxgHJgcyB0AHTgdXB10HZAdvB34HiweYB6kHvwfYB+0IAAgTCCoIQwhaCG8IhQidCLMIxwjYCO0JBgkfCTEJPQlICVkJcAmGCZoJrgnCCdMJ3gnlCewJ9woCCgUKAAn4CfQJ9gn5CfsJ/QoFChQKJQo2CkgKXwp7CpkKtgrVCvkLHgs5C0MLRAtMC2oLmwvSC/0MFwwiDCIMHAwTDA0MDQwPDAQL2guLCyUKxwqKCnQKdAp2Cm8KZgpoCn8KpQrNCugK8ArnCtcKywrHCssK0grWCtgK2grfCuMK4QrZCs0Kwwq7CrYKtQq5CsQK2Ar1CxgLPAtbC3ELgAuNC5wLrgu8C8MLxAu9C64LkgtoCzEK9Aq4CoQKXgpHCj0KOgo8CkEKTApaCmYKbgp0CnsKhwqWCqIKqQquCrUKwArSCuwLDgs2C2ALiwu7C/UMOgyBDL4M6Q0GDR4NMw1ADUINPA05DUINTg1QDT4NJQ0XDRsNJA0iDRQNCg0ODRwNIg0bDRINEw0bDRkNBwz2DP0NGQ0uDSIM+QzVDM8M4AzvDO0M4QzVDMIMmwxgDCML+AvbC7kLggs9Cv4KzgqkCncKRQoZCfQJ0AmjCXMJSwkzCSgJIgkcCRsJHgkgCRwJFQkQCRMJGAkbCRsJHAkfCSEJHAkRCQQI+AjpCNQIvAimCJIIfwhlCEYIJwgJB+sHywenB4MHYgdDByQHBQbnBsoGrQaOBnAGVQY9BiIGAgXeBb4FpAWMBXEFUwU2BRwFAgTlBMMEowSIBHIEXQRIBDcEKQQdBA4D/APpA9YDwgOtA5YDgANtA1kDQQMkAwMC3gKzAoMCTwIeAfIBxwGVAVgBEADEAH8ATAAqABT/+v/T/6D/a/89/xP+6f69/pL+bv5M/iT98f21/Xz9S/0i/P782vyy/IT8Ufwd++z7wfua+3D7RPsY+u/6xvqZ+mb6NPoG+d35s/mD+U35F/jl+Ln4kvht+ET4FPfd96T3cPc/9xD23vas9n/2WPYy9gX11PWl9X31WfU09Q/06/TO9LT0l/R29FT0OPQe9AHz2/Ov84XzYPNA8yPzCfLy8tjysfJ68jjx+vHL8arxi/Fh8THxCfD48PvxAvD78ODwvvCl8JrwlPCI8HHwWPBJ8ErwVPBb8FXwQvAs8CLwLPBF8FrwXfBK8C7wF/AL8AfwBvAJ8BbwLfBG8FvwbPCA8JzwwfDr8RjxR/F08Zvxt/HH8czxy/HC8bDxlvF18VXxO/Et8SzxM/E58TnxNPEy8TnxSfFf8XjxkPGl8bXxwvHP8eDx9vIN8iHyL/I78kfyUvJd8mzyg/Kj8sby5vL98xHzLPNS84Dzq/PO8+j0APQb9Dn0U/Rm9Hj0jvSu9Nb0//Ut9WX1rvYA9k32ifa49uX3Hfdg96f35/gi+GD4rfkV+aD6S/sH+7r8UPzF/SP9df2//fr+JP5G/mz+m/7I/ur/Av8g/1D/jf/J//kAIgBRAIsAyQEAASkBSwFvAZoByAH2AiICTgJ6AqMCzAL1Ax8DRgNqA40DtgPrBCgEZQSaBMkE/wVNBb0GRwbPBzUHaQdxB2EHSgcmBuQGcQXPBRUEZwPmA6QDnwPFA/gEJARGBGUEhgSnBMIE2QTzBRYFPAVbBW0FeAWGBZgFqgW3BcAFzQXcBeYF5wXlBegF9gYFBgwGDAYSBi4GZQatBvUHLgdQB2AHawd9B54Hygf6CCkIVAh/CKcIzgjzCRwJTwmLCcYJ8woHCgMJ7wncCdcJ6AoLCjYKXgqACp0KtwrQCugLBgssC1gLgAuZC6ILpwuxC8QL3Av3DBcMQgx9DMINCQ1LDYcNwg3/Dj8OeA6eDqwOpA6TDoUOeQ5lDkEOEg3pDdINyw3GDbANgg05DNcMYwvlC2YK5ApMCYoImQedBtUGewagByAHvQhHCK8I/wlACXQJlQmhCaEJnAmTCYAJXwkyCP4IxgiNCFgILQgMB+8HzAelB38HXQc4BwsG1gatBqAGrwbGBscGogZcBg4FzgWnBZYFjwWEBXAFUwUuBQIEzwSZBG0EVQROBEYEKwP6A8MDmwOIA3oDYAM2AwcC4wLLArcCnQJ8AlsCPwIpAhQB/QHiAcUBqwGVAYMBcQFaAToBEwDsAMwAtgCoAJsAiQBzAFoAPgAe//z/3f/D/7L/p/+d/5H/gf9r/1L/OP8h/w3++/7o/tX+xP64/rH+q/6k/pn+i/57/mb+Tv4z/hv+A/3r/dH9tv2f/Yz9gP13/W79ZP1a/U79Qf0y/SH9Dvz4/OP8z/y+/K78n/yT/Ij8f/x3/G78Zfxe/Fr8V/xV/FL8TvxK/ET8Ovwv/CX8Hvwa/BT8DPwC+/j77fvg+9H7xfu++7n7svup+537lPuO+4z7jPuP+5T7mfub+5n7lfuS+5P7lvuZ+537oPuh+6H7n/ub+5j7lPuS+4/7jfuK+4j7hfuF+4f7ifuM+477k/ua+6D7o/ul+6z7ufvF+8H7q/uN+3r7efuE+4r7hft++3z7gPt/+3H7WftE+zn7Ofs/+0b7SftF+zz7NPs1+0L7U/ta+1f7U/tZ+2j7cvtp+1P7Q/tI+2D7fPuM+4/7jfuR+537rfu4+737v/vA+8T7yvvP+9X72/vj++379/wA/An8E/wb/CH8Jvwq/DD8Nvw4/Dn8Ovw//En8U/xc/GP8avxx/HX8ePx+/Ir8nfyv/Lv8vvzB/Mn82fzs/P39Cv0X/ST9Mf09/Uv9W/1u/YD9jP2U/Zz9pv2y/b79yP3R/d396P3w/fP99P33/gD+Df4a/iT+Lv45/kX+Uf5a/mT+cf6C/pX+p/61/sD+yf7P/tL+0v7S/tX+2/7g/uP+5/7t/vb+//8E/wX/B/8M/xT/Hf8m/zD/QP9U/2n/ev+G/4//m/+r/7//1//zABEALQBJAGYAiQCwANUA9AESATMBWgGCAaUBwwHiAgICJAJEAmMChAKnAsYC3wL1Aw0DKwNMA2kDhwOpA9ED+AQZBDYEWAR+BJ4EsQS3BL4ExgS/BJAELwO0A1YDSgOwBIAFkQajB3kH8QgTCAwIFQhdCO8JsApmCtYK5QqkCk8KGwodCjoKRQobCbcJLQieCCsH5AfHB70HrAeLB2MHQwcxByQHGAcNBwoHDQcKBv0G7gbpBvIG/gcABvUG4QbPBsAGtQasBqcGpAakBqkGtwbMBt0G4gbYBscGtQagBn0GSgYNBdAFkwVWBR4E9gTgBNIEtgSEBEQEBwPUA6UDdANGAyIDBgLfAqACSQHtAZ0BWgEWAMYAbAAT/8T/gf9H/xD+2/6r/oH+X/5D/iv+Fv4C/fD94P3U/cv9xP2//br9tP2s/aH9k/2E/XX9af1i/V39Vv1M/T/9M/0r/Sf9I/0f/Rz9Hv0m/TP9Qf1O/Vf9XP1c/Vr9XP1j/XD9gv2W/a79yf3n/gb+Jv5E/l/+eP6R/q3+zf7z/xz/Sv98/7D/4QALAC4ATgBwAJgAxQD2ASgBVQF8AZ4BwAHrAiACWQKMArcC3gMGAy8DVANzA40DqAPIA+wEFAQ8BGQEjQS1BNwE/wUeBTgFTgVlBYAFogXFBeQF/gYWBi8GSgZmBoIGnAa1Bs4G5Ab2BwMHDQcZBykHPQdRB14HZgdsB3gHiAeUB5QHiAd6B3IHcwd5B38HgweEB4UHhAeBB3cHaQdYB0oHQgc/BzsHMQcjBxYHDQcEBvkG7gbpBu0G8AbqBt0G1AbWBt4G3QbRBsQGwAbCBr0GqgaUBo0GmQaqBrMGtQa7BskG1QbUBsUGtwa3BsQG0QbSBscGtQakBpkGmgalBrMGuAayBqYGoAalBqEGpwawBsMG3wb6BwsHFQcfBy0HOwdCB0YHTQdbB20HgAeSB6gHwgfcB/EIAggWCDEITQhkCHgIkAiuCMwI4wjwCP0JEQknCTkJQwlMCVwJcgmICZkJqAm5CcsJ2QngCeMJ6QnzCfoJ+gn1CfEJ9Qn+CggKEAoWCh4KKgo8ClIKaAp5CoQKjwqiCsQK7QsMCxgLFwsdCzsLcAurC9wL+wwNDBoMJQwqDCoMJgwfDAkL1wuGCygK3gq+CsYK2wrgCtAKuQqyCsAK2grvCvcK8wrtCukK6ArsCvAK9Qr4CvoK/gsFCwsLCgsACvIK5QreCtwK3ArdCuUK9wsWCz4LZwuIC50LqQuxC7sLyAvUC98L5gvlC9YLtAuAC0ELAQrICpsKegpoCmEKYgpoCnEKfQqMCpkKowqrCrYKyArcCuwK9Ar2CvoLAwsRCycLRQtsC5kLyAv6DDIMcwy2DPANGA0xDUcNXg1zDX0NfA17DYINjQ2LDXYNWw1ODVcNZg1pDWANWw1lDXYNeg1vDWUNbQ19DX4NaQ1VDV0Nfg2VDYANRA0KDPQM/Q0KDQgM+gzsDNcMrAxrDCgL+gvgC8ILjQtFCwEKzgqmCn0KTwokCf4J1gmoCXkJVwlICUUJQAk5CTUJOAk9CTsJNAkuCTAJNQk4CTgJOAk8CT8JOgkuCR8JEwkICPgI4gjLCLYIoAiHCGkISgguCBIH8gfPB6oHiAdoB0oHLAcPBvIG1ga3BpgGewZfBkIGIQYABeMFygWyBZYFeQVdBUQFKgUKBOgEygSyBJ0EhwRzBGMEWARNBDwEJQQPA/4D8APhA84DugOmA5QDfwNmA0YDHwLwArwCiQJcAjMCBwHNAYMBMQDkAKcAfQBiAEoAKf/8/8n/mv9x/0r/If71/sz+qP6D/lX+HP3f/az9hP1i/T39FPzn/Lj8hvxS/CL7+PvT+637g/tW+yv7AfrU+qH6bPo8+hP56/m/+Y35Wfkn+Pv40vip+H34S/gV9933qPd390f3Ffbk9rj2kPZp9jz2C/Xa9a/1h/Vg9Tn1F/T69OH0xfSj9ID0YfRE9CXz//PV86zziPNm80bzK/MV8wPy6vLC8ozyU/Ih8fvx2PGw8YbxX/FC8S3xGvED8Ozw3PDX8Nfw0fC+8J/wf/Bp8GTwb/B/8Ibwe/Bj8E7wS/Bb8G7wcfBd8D7wJPAX8BfwG/Ai8C3wO/BJ8FPwXfBq8H3wk/Cp8MHw3PD68RXxJvEv8TPxNPEz8SzxIPES8QXw/PD38Pbw9/D38PXw8/Dz8PrxCvEj8UPxZfGE8ZvxqvG28cXx2vHx8gfyGfIq8jryTPJg8njyl/K88uLzAfMW8ybzOvNY84DzqfPN8+j0APQa9Db0UvRq9H/0l/S09NP07/UL9S71YPWd9dr2CfYs9lH2h/bP9x73aPej99X4C/hV+Mf5avo1+w37zvxj/M39G/1d/Zf9yf30/hz+Q/5p/or+rv7c/xn/XP+X/8T/7QAfAF4AoQDcAQkBLwFWAX8BpwHNAfUCIgJSAn8CpgLKAu8DFwNAA2YDiwO3A+wEKQRmBJ4E1wUjBZMGIga1ByEHTgdDBx4G+QbOBoAF9wU5BG4DxgNkA0kDYgOSA8AD4wP+BBoEOQRZBHcElgS5BOAFAwUYBSQFMgVKBWUFdgV3BXQFegWPBaYFswW0BbMFuAW/BcIFwgXMBe0GJgZrBqsG2wb6Bw0HHQcxB04HdAegB8wH9ggeCEgIdgioCN0JFglPCYQJrwnLCdUJ0QnGCcEJyQnfCf0KHgpBCmgKkgq3CtIK5Ar2CxALMAtMC1wLZAttC34LmAu2C9QL9gwgDFQMjgzJDQcNSw2VDd8OHg5IDlsOXw5dDlsOUw48DhEN2A2gDXYNXA1FDR4M2AxvC/ELdQsMCrQKVQnOCQwIIwdJBr0GpAbyB3cH/whrCL0JAAk6CWUJfAl+CXYJaglbCUIJHgjvCLwIhghQCB0H8wfTB7gHnAd4B04HJAb8BtMGpwZ8BloGSgZNBlgGWAY7BgMFvwWKBXEFbQVpBVcFNwUTBO4EwwSRBGAEQQQ2BC8EFgPlA6wDggNwA2cDUwMrAvsC0gK2AqICjQJ0AlkCQAIpAhIB+gHfAcEBogGGAXMBZgFWAToBEQDkAMEArACgAJQAgABnAE0AMgAV//T/0/+2/6H/lf+O/4b/ev9l/0n/LP8S/v7+7P7b/sn+uP6q/qD+lv6L/n7+cv5k/lL+PP4i/gn98/3c/cP9p/2M/Xj9a/1k/V79Vv1J/Tv9Lf0f/RH9Afzu/Nn8xfyz/KH8kPyB/Hb8b/xo/GD8WPxR/E78TfxM/En8RvxC/Dz8Mvwn/B78G/wb/Bn8EvwJ+/778/vl+9f7y/vC+7v7svum+5j7i/uD+3z7ePt4+377ivuV+5z7nPuZ+5X7lfuX+5v7nvuf+5z7lvuQ+4z7ifuI+4f7hfuB+377fPt9+4D7hPuI+4z7k/uY+5f7jvuJ+5P7rvvK+9D7tfuJ+2v7aPt3+4P7gPt1+3H7dvt7+3f7aftZ+077SPtE+0H7Pvs8+zn7N/s7+0b7UvtY+1T7TvtP+1n7X/tW+0P7Nvs9+1f7dvuN+5f7nPul+7L7wPvI+8j7xPvB+8H7x/vP+9f73vvl++379vwB/Ar8E/wa/B/8JPwo/C38Mfwz/DP8NPw5/ED8SvxV/GD8bPx1/Hv8ffyC/I78ofy0/MD8xvzL/NX85Pzy/Pz9BP0L/RX9Hv0m/S/9PP1M/Vz9aP1w/Xn9hv2W/aX9sP25/cX91P3k/fH9+v4B/gn+E/4c/ib+L/44/kP+Tf5Y/mT+cv6C/pT+pf60/sH+yf7O/tD+0f7T/tf+2v7b/tz+3/7j/ur+8f72/vr/AP8K/xX/IP8r/zb/Rf9X/2n/d/+B/4z/mf+p/73/1P/vAAoAJgBDAGQAiQCwANQA8wEPAS8BUwF5AZ4BwgHmAggCJQI/AlgCdgKYArkC1QLvAwoDKgNMA2sDiwOuA9QD9gQTBC4ETgRzBJIEowSqBK8EsQScBFsD8gOIA1UDiQQuBSoGQwc+B+cIMAguCBcIJAh1CQUJrwpBCpcKqAqICl0KQwo+CjsKHwnaCW4I7QhvCA0H0ge4B60HmAd1B04HMQciBxkHDAb8BvEG7QbsBucG4gbhBugG7wbvBucG2QbLBr0GrwajBpoGlQaSBpQGnAapBrYGuwa4BrQGsAaoBpEGaAYzBfkFugV3BTME+gTTBLgEmARrBDMD+wPIA5UDYQMsAvsCygKOAkEB6wGdAV8BKADnAJYAO//p/6b/bv86/wb+1f6t/o3+cv5W/jz+Jf4S/gL98v3i/dX9zv3K/cb9vv20/ar9oP2V/Yb9eP1t/Wb9YP1V/Ub9OP0w/S79Lf0p/ST9JP0r/Tf9Rf1Q/Vb9Wv1c/V39YP1o/XX9hv2a/a39w/3e/f7+If5D/mL+f/6d/r/+5P8J/yz/Uv9//7P/6QAaAEEAYQB/AJ8AxgDxASABTwF6AaIBywH5AiwCXgKLArUC3wMOAz4DagOQA7AD0APvBA8EMARRBHYEnQTEBOoFDwUwBU4FZwV+BZcFtgXXBfcGEgYrBkUGYgZ+BpkGsAbIBuAG9wcLBxkHIwcwB0AHVAdpB3oHiAeXB6kHugfDB78HswemB58HngegB6EHogeiB6MHogedB5QHiAd7B3AHagdkB10HUQdEBzoHMQcmBxYHCQcGBwwHEgcOBwIG+gb8BwIHAAb1BusG7Qb0Bu8G2Aa6BqgGqQayBrUGsAaxBsAG1gbjBuIG3AbZBtsG2AbMBrUGmwaHBn4GhAaUBqQGqgakBpsGlgaaBpEGnAaqBr4G1gbsBvkHAAcIBxMHHgckByoHNgdLB2YHfweVB64HyQfjB/cICAgcCDgIVQhuCIQInwjCCOUI/AkFCQsJFgknCTYJPwlHCVcJbwmECZIJnQmrCb8J0QnZCdoJ3AnmCfMJ+wn6CfcJ+QoEChIKGwofCiAKJwo1CkkKXgptCnMKdgqACpgKuwrbCu0K8gr5Cw4LNQtmC5cLxAvxDB4MQwxUDEwMMQwQC+sLvQuCC0QLGAsPCyMLNws1CxkK9wrmCusK+wsHCwwLDgsUCxwLIQsgCxwLGQsZCxsLIAskCygLJQscCxALBwsFCwgLCwsNCxMLJAtDC2sLkAurC7sLxgvOC9gL4gvsC/YL/gv+C+0LxQuNC00LEwrhCrgKmQqGCoIKiQqWCqUKtQrECtEK2grkCvQLCgskCzgLQQtDC0QLSgtVC2ULfQugC80L/QwvDGYMpAznDSQNUA1sDYMNnA21DcMNwg29Db0Nwg29DaoNlA2NDZkNqQ2rDaUNqA29DdUN3A3QDccN0g3mDeoN0w28DcIN4g32DdoNlQ1TDTQNMw0xDRwM/QzlDNEMrwx4DDoMDQvwC88LlwtPCw4K3wq7CpMKYwo1CgsJ4wm2CYwJcAlnCWcJYglXCU4JTAlOCUwJRglCCUYJTQlQCU4JSwlNCVAJTglFCToJMgkpCRwJBwjuCNUIvQiiCIQIZghMCDIIFAfyB84HrQePB3EHUwc0BxgG/AbeBsAGoAaBBmIGQgYkBgkF8AXWBboFngWEBWsFTwUuBQ0E8QTcBMgEtAShBJIEiAR7BGYETQQ2BCkEIQQXBAcD8wPgA84DuwOiA4IDWgMpAvUCxAKaAnECPwH6AacBUQEJANYAtQCaAHsAUgAi//L/yP+l/4H/WP8s/wP+3f61/oP+Sf4S/ej9yP2n/X/9T/0c/Oz8u/yK/Fn8MPwL++b7u/uM+177M/sG+tT6oPpu+kL6Gvnw+cL5k/lm+Tv5D/jh+K/4fPhJ+Bb34/ey94L3Ufcj9vf2z/am9nj2R/YW9er1wvWc9Xb1UvUy9RX09vTV9LT0lfR29FL0KPP889TzsfOR83HzUPM08x7zCPLs8sfynvJ38lXyNPIR8e3xxvGf8XTxSvEp8RjxGvEl8SrxIPEF8OPwv/Cj8JfwnvC38NHw2fDH8Kbwi/CB8ITwg/B08FrwQvA08DLwN/BA8ErwUvBY8F3waPB58I3wnfCn8LDwvfDQ8ODw5/Do8Ojw7fD08Pnw+fD28PLw7fDl8NrwzvDH8Mfwz/Dc8O7xA/Ee8T3xXvF98ZXxp/G38cjx3vH28g3yIvI28kryX/J38pTytfLZ8vvzFfMn8zTzQ/Nd84DzqPPO8+70CfQi9Dz0VvRu9IX0oPS/9N/0/PUS9Sn1SfVy9Zv1u/XT9fH2IfZn9rv3DPdQ94T3r/fg+C/4sPlm+jz7Dfu5/Dj8l/zo/TL9df2t/dn9/f4d/j/+a/6l/uv/MP9p/5X/v//zADQAeACzAOQBEQE+AWcBiwGqAdAB/wI0AmMCiAKkAsQC7AMZA0QDaQOOA70D/QRGBI8E1AUeBYEF/gZ9BtoG+gblBrwGlAZkBgoFbgSiA9YDQQL+AwADKQNZA4IDowO/A9oD9QQRBDAEVgSABKYEwATPBOAFAQUzBWEFcgViBUQFNgVDBV4FcwV3BXIFbgVwBXUFfQWOBbAF4wYbBk0GdAaUBrEGzgbtBw8HMwdZB30Hnge/B+YIFwhSCJQI1AkOCT0JYgl+CZAJmgmeCaEJqgm6CdAJ5woBCiIKTgp8CqMKvwrVCu4LDgsrCzsLOws3CzwLTgtoC4ULowvFC+0MHAxQDI0M1g0oDXYNtQ3fDfgOCQ4XDh0OFA31DcINhA1GDQ8M3gyqDGEL+gt4CvMKiQpGChgJ1QlVCJcHxgcjBt4G/wdjB9oIQgiRCNEJCgk6CVoJZwliCVIJPAkgCP0I1AinCHcIRQgSB+EHuAeYB38HZQdDBxYG5Qa8Bp4GhAZhBjIGBAXuBfsGFwYcBfMFpwVgBT4FPQVDBTQFEQTqBMoErASFBFoENwQnBBwEAgPQA5YDawNYA1EDPwMbAu0CxAKnApECfQJoAlMCPwIrAhYB/wHlAcQBnwF+AWkBXwFVAT4BFQDlAL0ApACXAIoAdwBcAEAAJQAK/+3/zv+x/5r/iv+C/3v/b/9a/z3/IP8H/vP+4f7M/rb+oP6P/oL+dv5q/l7+Uv5G/jX+If4L/fb94/3O/bX9mf1+/Wn9XP1U/U79Rf04/Sj9Gf0L/P387vzc/Mr8ufyp/Jj8hvx1/Gn8Yfxa/FL8SvxE/EP8RPxE/EH8Pfw5/DP8Kvwf/Bf8FfwW/Bb8EvwK/AL7+vvw++P71/vL+8D7tPul+5T7h/t8+3X7b/tr+277dvuC+4v7jvuM+4j7hPuD+4X7h/uH+4X7gft9+3z7fft++337e/t3+3P7cvtz+3b7eft++4b7j/uU+477gPt1+337nPu9+8b7rfuB+2L7X/ty+4P7hvuA+337fvt9+3T7Zvta+1P7TPtD+zn7NPs3+zv7PftA+0f7UftW+1L7SvtG+0r7T/tM+0L7Ovs/+1H7avuA+5D7nfuq+7f7wvvJ+8z7yvvI+8j7zPvT+9z75Pvr+/L7+/wF/A38E/wY/B38Ivwn/Cv8Lvwu/C/8MPwz/Dj8P/xI/FX8Yvxt/HT8d/x9/Ir8nfyy/ML8zfzX/OX88vz8/QD9Av0G/Q39Fv0f/Sj9M/1B/U/9Wf1h/Wn9df2E/ZH9mv2h/av9uf3N/eP99/4H/hP+HP4l/i7+Ov5F/lH+Xf5r/nz+jP6a/qf+tP7A/sr+0P7T/tb+2v7f/uL+4P7e/t3+3/7l/uv+7/7z/vn/A/8P/xz/Kf80/0D/Tv9c/2v/ef+G/5P/ov+0/8j/3v/2ABAAKgBGAGUAiQCuANAA8AEOAS0BTgFxAZUBuQHeAgACHQI0AksCZgKFAqQCwQLcAvwDHwNEA2YDiAOqA8wD6gQGBCQESQRvBI0EnAShBKIEmwR2BCgDwQNxA3ED3wSxBbwGxAeWCBMIOgguCCIIQgigCSkJuQosCm4Kggp4CmUKUgo7ChMJzgluCPwIiQglB9sHrwecB5EHfwdgBz4HJQcbBxcHCwb2BuAG0wbRBtYG2gbbBtkG1QbPBsoGxQa/BrYGqwafBpgGlAaRBo4GjAaMBowGiQaDBn4GfAZ3BmsGVQY3BhEF3gWaBUgE9wS1BIcEYwQ/BBcD7AO/A40DUwMTAtICjwJFAfUBpwFjASsA8wCvAF0ACv/C/4v/XP8t/vz+0P6w/pj+gf5m/kj+Lv4c/g/+Af3y/eX93f3Z/dP9xv24/a39pv2e/ZL9gv10/W39aP1e/U/9P/01/TP9Mv0v/Sv9LP01/UH9TP1T/Vb9Wf1d/WH9Zf1s/Xn9iv2d/a/9xP3d/f7+Iv5G/mf+hf6n/s3+9v8d/0D/Yv+L/7r/7gAfAEoAbwCRALEA0gD1ARkBQAFpAZYBxwH8AjACXgKGAqwC2AMMA0MDdgOgA8QD5gQIBCoESQRpBIsErgTUBPkFHQU/BV8FewWVBa4FygXpBgYGIQY8BlcGcwaNBqMGtwbMBuIG+QcMBxwHLAc/B1YHbQeBB5MHpge+B9YH6AftB+cH2wfRB8sHyAfEB8AHvQe8B7wHuwe4B7MHrAeiB5gHjgeEB3kHbgdlB18HWgdSB0UHOAcyBzQHNQcwByYHIAcgByAHGAcJBwEHCgcaBx4HCwbrBtEGyQbLBswGyQbJBtAG2gbfBtwG1QbMBsIGswadBoUGbwZeBlUGWQZrBoAGjgaOBoYGggaGBosGnAaqBrcGxgbWBuIG6gbyBvsHAwcJBxIHJQdCB2IHfgeXB7AHzQfoB/4IEAgmCEIIYAh8CJYIswjXCPgJDAkSCRQJGwkmCTAJNgk9CU4JZwl9CYoJkgmdCbAJwwnOCdAJ0wneCe4J+woACgAKBAoPChwKJQooCigKKQovCjkKRwpVCmEKawp1CoMKmQq0CsoK1wrcCuEK8AsQC0ILhAvPDBcMSgxVDDYL/gvIC6QLkAt+C2YLTgtDC0YLSQs9CyILCQsBCw4LJAs3C0QLUQtfC2gLZQtYC0gLPQs6CzoLOws9Cz4LPQs3CzALLQswCzYLOws/C0gLXAt6C5kLsAu7C8ILywvZC+kL9Qv+DAYMCwwIC/ILxwuPC1cLKAsACtwKvQqqCqgKtArICtwK7Qr7CwkLFQsiCzULTwtrC4ALiwuOC5ALlgufC6wLvwvdDAcMNgxlDJgM1A0aDV4Nkw22DdAN6Q3/DgkOAg31De4N7Q3rDeAN1Q3XDeYN8w30DfEN/g4fDkIOTg5DDjgOQg5VDlcOPg4iDiEOOA5EDiUN5Q2sDZMNjQ13DUQNCAzgDMwMtwyNDFUMIwv8C9ILmwtcCycLAgrgCrMKegpCChYJ8AnLCagJkQmKCYoJhQl3CWgJYAldCVgJUQlPCVUJXwliCV4JWAlYCVwJXglbCVUJTwlICTkJIwkICO4I1Qi5CJsIfwhmCE8INAgUB/MH0we3B5kHeQdZBzwHIQcGBugGyAanBocGaAZLBjAGFQX5Bd4FxAWsBZIFdQVTBTMFGQUGBPQE4ATNBL4EsgSiBI0EdARiBFgEUwRJBDkEJQQTBAID7wPWA7YDjwNhAzADAALSAqACYwIWAcABcgE2AQ8A8gDTAKoAegBKAB//+v/Z/7X/jf9i/zn/Ef7l/rL+fP5N/ir+Dv3s/b79if1U/SP89PzD/JP8afxE/B378Pu/+4/7Y/s3+wj61vql+nj6Tfoh+fL5xfmb+XP5R/kW+OP4sfiB+FL4Ivfw97/3j/dh9zb3DPbi9rT2hPZU9ij2APXc9bj1lPVv9Uv1KPUG9Of0y/Ss9If0WvQr9ADz3fO/86DzffNb8z3zIvMH8uvyzfKw8pTyd/Jb8j7yIPH88dLxpvGG8XrxgPGJ8YXxcPFQ8SzxCfDp8NTw1vDx8RbxLPEe8PTwwvCh8JbwlPCP8IDwbfBe8FjwXPBm8HHwd/B48Hnwg/CX8K/wwPDG8Mnwz/DY8N7w2vDQ8MnwzPDX8OPw6fDq8Onw5fDb8Mzwv/C68MPw1/Dy8Q3xKPFC8Vvxc/GJ8Z7xsfHH8d7x9/IP8ifyPfJS8mbye/KT8rDy0vL28xXzLPM780fzWPNz85fzv/Pn9Aj0JPQ+9Ff0cfSI9J/0ufTY9Pv1G/U09Uj1YPV99Zz1tvXL9eT2DfZJ9pT24/cs92f3k/e39+f4Ovi9+Wn6IvrN+1772fxL/Lj9Gf1o/aL9yv3o/gf+Mf5r/rH+9/8z/2T/lP/OABAAUgCNAMIA9QEmAVIBdAGRAbQB4gIWAkYCaQKDAp8CxgL1AyQDTANzA6YD7gRJBKYE+AU+BYcF2wYxBnAGggZvBkwGJgXuBYQE2gQJA0wC1AKwAsYC8QMaAz0DXgOBA6IDvQPVA/IEGQREBGYEegSFBJ8E1wUlBWcFfAVdBSUE/gT8BRMFKQUvBSgFIgUkBS0FOQVLBWcFjwW8BeYGDAYuBlIGeQajBs0G9AcXBzQHTgdqB40HvQf5CD0Iggi+CO0JDwkoCT8JUwllCXYJigmhCboJzQncCewKBgouClkKgQqkCscK7AsLCxwLGQsNCwYLCwscCzILTQttC5MLvgvtDCYMbQy+DQwNTA14DZkNtQ3MDdMNwg2ZDWENJAzkDJ4MTgvsC3YK7QphCe0JqwmXCY4JXAjiCDQHjAcrByoHdQfeCDwIhAi8CO0JGQk6CUwJUAlICTQJFAjqCLwIjQhfCDAIAAfPB6EHeQdZBz8HJgcEBtcGpgZ/Bm0GZQZRBiIF5QXABcoF8gYGBd4FhQUsBQEFBwUYBRAE6gS+BKEEjgR1BFIEMAQZBAgD6AO0A3kDTgM9AzYDJgMEAtgCswKXAoMCbwJaAkUCMwIiAhICAgHrAcwBpAF+AWQBWAFRAUABHgDxAMYApgCSAIAAbABSADcAGwAB/+j/zf+y/5r/h/97/3H/Yv9M/y//Ev78/uv+2f7A/qP+h/5w/mD+U/5H/jv+MP4k/hT+A/3x/eD90f2+/aj9kP15/Wb9V/1L/UD9M/0l/Rf9Cfz9/O/83/zM/Lr8q/ye/I78ffxs/F/8VvxP/Eb8Pfw3/Df8Ofw5/DX8Mfwu/Cr8IvwX/A38CPwI/Af8A/v9+/j79fvy++r73vvR+8P7tPuj+5L7hPt7+3T7bvto+2X7Zvtq+2/7c/t0+3T7cvtw+277bvtu+2/7b/tw+3L7dft2+3X7cftt+2r7aftq+237cPt2+377ifuQ+477gPtz+3P7hPub+6L7kft0+2H7Y/tz+4L7ifuM+477jfuC+237WPtN+0r7SPs/+zT7Lvsy+zf7Ofs5+z37R/tQ+1D7SftC+0H7RvtK+0r7SftL+1P7YPtv+377jPuZ+6P7rPu1+7/7yvvR+9X72Pvc++L76vvy+/v8A/wL/BD8E/wX/Bz8Ivwn/Cv8LPws/C38Lvww/DH8Nfw8/Ej8Vvxi/Gr8b/x2/IP8lPyn/Lb8xPzR/N/86/zy/PT89vz8/Qn9GP0n/TT9Qf1P/Vv9Zv1v/Xf9gf2M/ZX9nf2k/av9tf3G/d/9+v4R/iH+Kv4x/jz+Sv5Z/mf+dv6H/pr+rP65/sP+y/7S/tf+2f7a/t7+5f7s/u3+6v7l/uX+6v7x/vb++P76/wD/Cf8V/yH/Lf84/0T/UP9f/3D/g/+V/6b/tv/H/9r/8QAKACIAOQBSAG0AiwCrAMwA7QENAS0BTQFsAYwBrwHSAfMCEAIqAkQCYQJ9ApgCsgLPAvEDFgM6A1wDewObA7sD2AP3BBsERQRsBIYEkASSBJEEgQRQA/sDngNuA5wENwUiBioHFge9CBEIIggXCCEIXQjJCU4JygomClkKagphCkoKKQn9Cb8JagkECJsIOgfoB6oHggdtB2MHWAdCBycHEgcLBwoHAgbtBtMGwQa+BscGzgbKBr0GrQajBqEGpQapBqkGowadBpsGmwabBpgGkAaGBnkGaQZXBkYGOAYtBiUGHAYTBgIF4AWjBUwE7ASVBFQEKwQPA/YD2gO2A4QDQwL1AqMCUQIEAbwBeQE7AP4AvABzACX/3v+i/3P/Sf8d/vH+zP6z/qD+i/5w/lH+N/4m/hv+D/4B/fT97P3n/d790P2//bP9rP2m/Zr9if16/XH9bP1j/VX9Rf05/TX9NP0y/TD9NP09/Un9UP1U/Vb9W/1i/Wf9a/1x/Xv9i/2d/bD9xv3h/gL+Jv5I/mj+iP6s/tX/AP8q/1D/dP+a/8L/7AAWAEEAbgCbAMUA6wEKASYBQwFmAZEBxAH7AjACXQKDAqgC0wMGAzwDbQOWA7kD3gQFBC0EUgR0BJYEugTfBQQFKAVKBWoFiAWlBcEF3gX8BhgGMgZLBmQGegaPBqAGswbHBt8G9gcJBxwHMgdNB2sHhAeXB6cHuwfWB/IIBQgKCAMH+QfyB+0H6AfhB9sH2AfYB9gH2AfVB9IHywfBB7QHpwefB5kHlAeNB4UHfgd3B28HZwdhB1wHVwdQB0kHRQdDBz0HLgcdBxUHHwcwBzgHKgcOBvQG5wbnBu4G9Ab2BvQG6wbdBs4Gwga0Bp4GggZnBlYGTQZEBjoGNgY/BlUGagZzBnIGcQZ6Bo8GoQaqBq0GtAbCBtEG3gbnBu0G8wb6BwYHHAc7B10HeweVB68HzQfrCAQIGggvCEoIaQiHCKUIwwjiCP0JDQkTCRYJHQkmCSwJLQkxCUAJWQlyCYIJigmTCaIJswnACcYJzAnXCecJ9woDCgwKFwoiCiwKMgo2CjgKOgo6CjcKNwpCClUKawp5CoEKiwqcCrMKwwrFCrwKtwrKCvwLRwuaC98MAgv3C8YLiAteC1kLcQuKC4wLcwtQCzQLIgsXCw8LEAshCz8LYQt7C44LngupC6sLnwuKC3ULZQtdC1oLWAtZC1wLXwteC1kLVgtWC1kLXQtkC3QLjQurC8ALxwvDC78LxwvaC+8L/wwJDBAMEwwLC/ELxguTC2YLQQsiCwQK6ArXCtcK5gr7Cw4LHgstCz0LTwtiC3oLlQuxC8UL0AvUC9kL4gvuC/oMCwwmDEwMeAykDNQNDg1UDZsN1g3+DhkOLg49DkEONw4nDh4OHQ4fDh0OHQ4mDjcORA5HDkwOYw6ODrUOwQ6zDqYOqw67DrkOng59DnIOew54DlMOGQ3vDeUN4w3CDXgNJAzrDNUMxgyjDGwMMgwBC9MLogtwC0cLJgr/CscKgwpFChkJ/AnhCcYJswmsCasJpAmUCYMJdwlwCWgJYQlfCWYJbglxCW0JZgllCWgJbQltCWoJZQlaCUkJMgkZCQII6wjQCLMImAiBCG0IVgg7CBwH/wfjB8YHpgeEB2YHSgcvBxEG8QbRBrEGkwZ0BlcGOQYcBgIF6gXTBbkFmwV6BVwFRQUyBR8FCwT3BOUE1gTEBLAEnQSQBIoEggR0BGEEUARDBDYEJAQKA+oDxgOeA28DOQL/Ar0CcwIiAdQBlgFsAU8BMQEJANkAqAB8AFYAMgAP/+n/wf+Y/27/RP8W/ub+t/6P/m7+UP4q/fr9xP2P/V79Lvz+/ND8pvx//Fb8J/v1+8T7mftu+0D7D/rg+rX6i/pd+iz5/PnR+an5f/lR+SD48PjB+JL4Yfgu9/z3zPed92/3QvcW9un2u/aL9l32NPYP9ez1yPWj9X31V/U09RT09/TY9LT0ifRc9DL0D/Pw89LzsfON82vzSvMq8wry7PLQ8rbynPKF8nDyXfJH8i3yEfH88fHx7fHl8dDxsfGQ8XHxU/E18RvxFfEn8UXxVfFD8RTw3/C88LLwt/C78LTwpPCT8IjwiPCS8J/wpvCl8KLwp/C38M7w3/Dn8Onw7PDv8Orw2/DG8LnwufDF8NPw3PDg8OLw4fDe8Nnw2PDg8PPxDfEo8UPxW/Fy8Ybxl/Gm8bbxyvHk8f/yGvIx8kfyXfJy8obymfKv8svy7vMT8zLzSPNW82PzePOY877z5/QL9Cf0QPRY9HT0kfSs9MT02/T49Rn1OfVU9Wr1gfWd9bv12PXz9g72MvZi9p724Pcj92D3kfe199b4BvhW+Mr5U/nj+nD6+/uH/BH8kPz5/Un9gP2l/cT96f4e/mH+qf7r/yT/Xf+d/+QAKgBrAKYA3gEUAUIBZQGCAaMBzgH/Ai4CUwJuAokCqwLXAwcDNwNpA6kD/gRkBMsFHgVXBX8FpwXSBfYGBAX6BeMFwQWABQgEUgOEAtgCegJuApACuALWAu8DEAM7A2UDhAObA7QD2AQDBCUENwRCBF4EnATxBTkFUAUtBO8EvwS0BMcE3wToBOME3wTiBOwE+AUGBRoFOAVfBYgFrwXSBfUGHQZKBnsGqQbOBusHBQcjB0oHegexB+4ILQhnCJcIuQjTCOwJCAkmCUQJZgmLCa4JxwnRCdIJ2QnwChMKOgpeCoEKpQrHCt8K5wrkCt4K3ArhCuwK/wseC0YLcgufC9IMEgxeDK4M8Q0kDUoNaA19DX4NZg05DQMMyAyFDCwLtgsiCnsJ1AlICPII3Qj0CQYI4AhzB+QHdAdWB40H8QhRCJYIwwjnCQgJIQktCS8JLQklCREI6wi4CIAITQgfB/AHwAeRB2YHPwccBv0G4AbABpcGagZFBjUGNgYuBggFzgWlBawF1gXvBckFaQUDBM4E0ATkBN8EvQSWBH8EdgRmBEcEIgQFA+sDxgOOA1QDKwMcAxgDCQLnAr0CmAKAAm8CXwJKAjQCIAIQAgMB+QHqAdEBrQGGAWUBUwFJATwBIwD/ANUAsACSAHkAZABNADQAGgAA/+j/0P+3/53/h/92/2j/V/8+/yD/BP7w/uL+0/66/pv+e/5g/kr+Of4p/hz+D/4C/fP95P3V/cj9u/2t/Zv9iv16/Wr9Wv1I/TX9I/0T/Qf8/fzz/Of81vzB/K38nfyP/IH8cPxf/FP8S/xE/Dv8Mfwq/Cj8Kfwp/Cb8Ivwg/B78FvwK+/779/v0+/L77Pvm++P75Pvl++P72vvN+7/7sPug+5D7g/t5+3P7bftn+2H7W/tY+1f7Wvth+2f7a/tr+2n7Z/tm+2f7aftr+237b/tv+2z7Z/tj+2H7YPti+2f7bPty+3r7hPuN+4/7iPt8+3L7cft1+3f7c/ts+2r7bftx+3H7cPt1+377gftz+1n7Qvs6+z/7RPtA+zb7Lvss+yz7Kfsn+yv7OPtG+0v7Rvs9+zn7PftE+0v7T/tS+1b7W/tj+277e/uG+437kvuc+6z7wPvQ+9n73Pve++P76/v1/AD8CfwQ/BT8FvwY/B38I/wo/Cr8Kvwq/Cv8K/wr/Cv8Lvw0/D/8Tfxa/GT8bPx0/H78i/yX/KP8rvy5/MT8zvzU/Nr84fzv/QL9GP0t/T79TP1Y/WT9cf19/Yn9kv2a/aP9r/26/cT9zP3X/ev+Bv4h/jP+Ov4//kf+Vv5m/nX+g/6T/qb+uP7H/tH+2f7e/uD+3/7e/uH+6f7w/vL+7/7s/vD+9/7+/wH/Af8D/wj/Ef8a/yP/LP82/0H/Tf9d/3P/jP+k/7f/xf/U/+gAAQAcADQASQBfAHYAkACtAMwA7QEOAS0BSwFpAYgBqQHLAekCBgIjAkICYQJ8ApUCrgLMAu8DEgMyA04DawOJA6gDxwPpBBEEPARgBHMEeAR5BHcEYwQsA9YDhgN2A80EigWHBooHXQffCBAIDAgCCB8IcgjsCW0J2AofCkMKRQosCgEJzAmSCVIJCAizCFwICgfAB4AHUAczBykHIwcXBwIG7QbkBuUG4wbVBr8GrgasBrMGtwatBpgGggZ2BnYGfwaJBpAGkwaUBpcGmwafBp8GmgaNBnoGYQZGBioGEQX9Be8F5QXfBdUFvAWJBToE3ASABDgECAPrA9YDwAOdA2gDHQLAAl4CBAG8AYIBTwEWANMAiQA+//n/vv+M/1//Nf8N/un+y/61/qP+j/51/lr+Q/4z/if+G/4L/f398/3t/eX92P3K/b79tv2u/aH9kP1//XT9bP1j/VT9Rf05/TT9M/0y/TP9OP1B/Un9T/1R/Vb9Xf1l/W39cv15/YL9kP2f/bH9yf3l/gb+Jv5F/mT+h/6v/tz/Cf8z/1v/gf+m/8n/6wANADUAZACYAMwA+gEeAT0BWgF9AacB2QINAj4CZwKLAq8C1wMEAzIDXAOAA6QDzAP4BCUETwR1BJkEvgTkBQgFKwVLBWoFigWrBc0F7QYLBiYGPwZVBmkGewaKBpoGrwbJBuUG/gcUBykHQgdgB38HlweoB7YHyQfkCAEIFAgbCBcIEAgLCAYIAAf5B/UH9Qf4B/kH+Qf2B/EH6AfaB8sHxQfLB9YH2gfOB7YHnQeNB4cHhweGB4EHeQdyB24HbQdqB2EHUwdGB0EHRgdMB0oHOwckBxAHBgcHBw4HGAcbBxIG/wboBtkGzwbABqIGewZgBlwGZQZnBlYGPAYvBjkGTwZfBmUGagZ5BokGnAaiBqMGqQa5BswG2QbgBuUG6gb0BwMHGgc4B1sHeweYB7MH0AfvCAsIIgg3CE8IawiJCKYIwQjbCPEI/wkHCQ4JFwkfCSIJIAkhCS4JRQlgCXQJgAmKCZcJpgmyCbwJxQnRCeEJ9AoICh4KMAo7Cj4KOwo6Cj8KRgpHCkAKOgpBClcKcgqECokKiwqUCqYKtQq1CqYKmgqnCtELDwtJC24LcgtYCy8LEAsRCzsLeQupC64LhQtGCxIK+Qr5CwsLKQtOC3gLnQu3C8YLzwvTC9ELxwu2C6MLlAuJC4ILgAuFC40LkwuSC4oLfwt1C3ALcAt5C44LrQvLC9sL2gvPC8gLzgvgC/QMBQwSDBsMHgwUC/oL0QulC38LYQtFCykLEQsECwgLGAssCz0LTQtdC3ILiQuiC70L2gv3DAsMFwwdDCQMMAw+DE0MXgx3DJgMwAzqDRkNUA2TDdcODw41DkwOXQ5pDmwOZg5cDlcOWA5cDl8OZQ5zDogOmA6iDrAO0A77DxsPHg8KDvoO/w8MDwkO7Q7LDrsOtQ6gDmoOKA4BDf8OBg3qDZ4NQw0DDOcM1wy1DH0MQQwOC+MLuQuOC2YLPgsOCs0KhQpJCiMKDQn6CeYJ1QnMCccJvQmsCZkJjAmECX0Jdgl0CXgJfgmACXwJdglzCXUJeAl5CXYJbwljCVEJOwknCRUJAgjqCM0IswieCI4IfAhkCEgILggTB/cH2Ae3B5cHeQdaBzoHGQb5BtsGvQaeBn0GXgZBBigGEQX5Bd8FwQWjBYcFcAVcBUgFMgUdBQoE+ATlBNQExwTABLkErQSbBIkEfgR6BHMEYwRIBCgEBQPeA6sDawMgAtACfgIxAfIBxQGpAY4BawE7AQkA3QC5AJgAcwBLACL/+f/Q/6X/eP9L/x/++P7U/rH+jf5j/jP+AP3N/Zr9af05/Qz84/y7/JD8X/wu/AD71fup+3j7RvsY+vL6zfqi+nD6PPoM+eL5ufmO+WH5MvkC+NH4nfhq+Dn4CffZ96j3ePdK9x328PbB9pH2ZPY89hj19vXT9a/1i/Vm9UL1H/T99Nr0tPSM9Gb0Q/Qj9APz4vPA85/zffNa8zfzFfL38tzyxPKu8pryivJ98nHyZPJX8kryOPIg8gHx4PHG8bHxnvGI8XHxZfFm8W3xZvFK8SDw+vDp8Ozw9/D88PXw5PDR8MPwvvDE8M7w1fDV8NDw0PDY8Ofw9vEA8QfxDPEM8QLw7vDY8MrwyvDX8Obw8vD48Pvw/fEA8QjxGPEv8UjxX/Fx8YDxkPGj8bTxw/HP8d3x8fIL8ifyQPJV8mjyfPKS8qfyu/LP8unzCfMr80jzXPNr83rzk/O289/0BvQk9Dn0TPRj9IL0o/TC9Nz08/UN9Sr1SPVj9Xv1lPWy9dT19/YZ9jr2XvaH9rT25vce91f3i/e199f3/vg2+IP44flK+bv6Nvq8+0f7zfxD/KX88v0r/Vn9h/3A/gb+Uv6Z/tj/Fv9b/6j/+gBHAI4AzwEIATgBXAF7AZsBxQH1AiUCTgJsAoMCnAK/Au8DKgNvA78EGgR9BNcFGAU3BUEFSAVZBW8FgAWCBXcFWgUZBJ4D6gMiAoACLgIrAlECeAKPAqMCwwLxAyADQgNYA24DkAO8A+ID+QQFBBsESgSMBMYE2QTABJEEbgRrBIAEmQSkBKIEngShBKwEuQTGBNYE7wUQBTYFWgV5BZcFvAXrBiEGUgZ3BpUGtQbgBxYHTweFB7gH6ggbCEYIZgiACJoIuQjfCQkJNglmCZQJtgnHCcoJzAnZCfEKCwohCjQKSwpoCoYKnwqwCrgKugq4CrcKwgrdCwMLLQtVC4ALugwEDFYMnwzVDPoNEw0gDRwNBAzbDKoMcgwpC8ALLQp0CaoI7whlCCUILwhfCH8IZQgPB6wHeQeUB/AIXAiuCNwI9AkGCRYJGwkUCQkJAgj7COcIvgiFCEkIFAfmB7cHhwdaBzMHDQbkBrwGmQZ6BlkGMQYLBfUF8gXtBdAFnQV0BXcFowXJBbcFZQT/BLcEngSbBI8EdgRiBF8EYwRXBDUECQPlA8cDoANqAzADCAL6AvgC6wLKAp4CeAJiAlYCSwI7AiYCEAH+AfEB6gHhAdEBtgGSAW8BVAFCATMBIAEFAOIAuwCWAHkAYQBNADYAHQAD/+v/0/+5/53/g/9u/1//Tf8z/xT+9/7k/tf+yv62/pv+fv5i/kj+L/4Y/gT98/3k/dX9xv25/a79o/2Y/Yv9f/11/Wr9Wv1F/S/9Gv0H/Pn87vzl/Nr8yfy0/J78jfx//HH8YPxP/EP8PPw3/C/8I/wa/BX8FPwU/BL8EPwO/Az8Bfv6++/75/vk++D72fvR+8z7zfvQ+9D7y/vB+7X7qfuc+4/7gvt4+3D7avtk+1/7WPtR+037TvtV+1/7aPtr+2v7avtp+2j7Z/tm+2X7Zftj+2H7XvtZ+1b7VvtZ+1/7Z/tu+3T7e/uC+4f7hft9+3D7Zfte+177ZPtt+3b7dvto+1P7RPtE+0/7VvtO+zn7J/sl+zH7PvtB+zn7L/sl+x37FfsS+xn7Kvs5+z/7Ovsy+y77MPs2+z37RftM+1L7V/td+2f7dPuA+4b7ivuR+6D7s/vE+8770vvV+9v75vvz/AD8C/wT/Bj8Gvwd/CH8Jfwp/Cr8Kfwo/Cf8J/wm/Cb8KPwv/Dr8RvxS/F38aPxx/Hr8g/yL/JP8m/yk/Kz8tPy9/Mb80/zl/Pn9Dv0i/TL9Pv1I/VP9Yf1x/YH9jP2W/aP9tf3J/dn94v3q/fn+Ef4s/j7+Rv5J/lD+XP5q/nf+gv6O/p3+rv6+/sz+2P7g/uP+4f7f/uL+6v7x/vP+8v7y/vj/Af8H/wn/C/8P/xb/Hv8k/yr/Mf86/0T/Tf9b/3D/jP+l/7j/xv/V/+oABAAfADYASwBhAHoAlACwAM4A7QEMASoBRwFkAYQBpQHFAeEB/AIaAjsCWwJ1AowCpQLFAukDCQMjAzsDVwN3A5gDuQPbBAMEKwRJBFYEWgRcBFwERQQJA7QDcwOBA/wE2QXoBusHrAgRCCIIBwf6CCQIiwkQCYsJ4goSCiAKEQnmCakJZwkrCPQIuQh0CCcH2weUB1MHHgb8Bu8G7AbjBs8GuQauBrEGtQawBqEGlQaVBpsGnAaPBngGYgZWBlUGWgZiBmsGdAZ8BoMGiwaSBpgGlwaNBnsGYwZJBi8GFQX6BeEFygW1BZ4FfwVRBRIExgR4BDQD/wPWA7QDkANkAyYC0QJqAf8BogFiATkBFwDoAKYAXAAW/9v/qv97/03/JP8B/ub+zv64/qL+jf54/mP+UP5A/jL+I/4S/gH99P3s/eX92/3P/cP9uv2w/aP9kv2C/XX9av1f/VH9Q/04/TP9Mv0z/Tb9PP1D/Un9Tf1R/Vb9Xv1m/W79eP2D/ZD9nP2o/bj90P3t/gv+Jv5A/lz+gv6u/t7/C/81/13/hf+r/87/7gAPADMAXwCRAMUA9QEgAUgBbwGbAcoB/AIqAlMCdgKWArkC3wMIAzEDWAN9A6QD0AP+BCwEVQR7BJ4EwgTlBQYFJQVDBWMFhQWqBc8F8QYOBigGPwZUBmgGegaLBp8GugbaBvoHFwcuB0QHXAd3B5IHpwe2B8UH2Qf0CA8IIwgrCCwIKQglCB8IGAgSCBEIFAgYCBoIGggYCBMIBwf1B+kH7wgKCCoINgggB+8HvQeeB5kHoQenB6YHoAebB5kHmAeTB4sHhQeDB4UHhQd9B2sHVgdGBz0HOQc3BzUHMwctBx4HCQb4BvUG9gbrBssGowaOBpoGtga+Bp8GaQY+BjMGQQZSBlwGYwZzBngGjAaXBp0GqAa6BssG1QbYBtwG5gb2BwgHHgc7B18HhAekB74H1wfyCA4IKAg+CFMIagiBCJkIrwjECNgI6Qj3CQEJCQkOCQ8JDgkQCRsJLwlHCV8JcQl/CY0JmwmpCbYJwgnQCeIJ+QoVCjAKRgpOCkkKPQo1CjYKPgpECkUKRgpPCmQKfAqNCpMKlQqcCqkKswqvCqAKlQqcCrgK2QrwCvQK6grbCtYK5gsSC1QLlwu9C7ILegszCv4K7Ar8Cx8LSgt4C6ILxQvaC+ML5gvoC+gL5gveC9ILxAu4C7ELsQu6C8ULzAvJC7wLrAubC48LiguRC6ULwgvdC+sL6wvjC94L4gvuC/4MDwwiDDIMOAwvDBML7QvGC6MLhQtoC0wLNgsuCzULRwtcC28LgguWC6wLxAveC/sMGww6DFMMYgxrDHQMgQySDKQMtgzMDOoNDQ01DWMNmQ3UDg8OPg5fDnQOhA6PDpYOlw6WDpcOmg6eDqMOrg7DDtsO8A7/DxMPMg9VD2cPXw9HDzkPQQ9OD0kPLg8QDwAO9g7SDocOMA34DfAN/A3tDbANXg0cDPkM4wzADI0MVwwqDAUL3guxC4ALTwsXCtcKlwpkCkIKLQoaCgYJ9QnpCd8J0Qm+CasJnwmYCZIJiwmHCYgJiwmMCYkJgwmACX8JgAmACX0JdwlrCVoJRwk4CSsJHAkGCOsI0gjACLIIogiMCHMIWghBCCYICQfpB8oHqgeIB2QHQQchBwUG5wbHBqUGhAZoBk8GNwYeBgIF5QXJBa8FlwWABWkFUwU/BS0FGwUKBPwE9ATtBOQE0wTBBLYEtwS+BLwEqwSOBGsERgQZA9wDjwM4AuMClAJTAiICAQHoAckBngFrAToBFgD7AN0AtwCLAF4ANAAK/9z/rv+D/17/PP8Z/vL+x/6a/mz+PP4J/dX9ov1z/Uj9H/z0/MX8lfxn/D38E/vl+7H7fPtO+yr7Cfri+rL6ffpJ+hr58fnI+Z75cflA+Qz41/ik+HX4SPgZ9+f3tfeF91n3Lfb/9s/2oPZ29lD2LPYK9en1xvWh9Xn1UfUq9Qb04vS+9Jr0d/RU9DH0D/Pt887zr/OP823zS/Mu8xbzAPLo8s/yt/Km8pvyk/KI8njyYvJG8inyEPH/8fTx6vHe8dHxxPG48afxi/Fo8UnxOfE88UfxTfFJ8TvxK/Eb8Q/xB/ED8QXxCfEJ8QfxA/EC8QfxEfEd8SrxNfE58TLxIvEQ8QbxCfEX8SjxN/E+8UDxP/FD8VDxafGI8aTxtfG78b/xxvHV8efx9vIC8g3yHvI18k7yZPJ38obymPKu8sXy3fLy8wnzIPM681LzZvN384rzpfPI8/D0FPQw9EP0VPRq9Ij0qvTK9OX0/vUX9TP1UPVr9YT1n/W+9eH2BfYq9k/2dfab9sL26/cZ9033gfew99v4CPg/+IH4yPkR+V/5t/ob+on6+Ptk+8n8J/x7/Mb9Dv1a/az9//5M/o/+z/8V/2f/wAAaAHAAvAD8AS0BUAFtAYwBtQHnAhsCRwJlAncChwKkAtcDIAN2A9AEJARvBKcExQTJBL4EtwTABNUE6ATxBO4E2wSlBDkDlQLYAjsB5wHiAggCMgJOAmQCgwKwAt0C/QMQAyMDQwNvA5oDtwPGA9UD7wQXBDsESwRBBCsEHwQoBEAEVwRgBFwEVgRXBGMEdwSLBJ4EsgTKBOUFAAUcBTsFYgWUBckF9QYTBiwGUQaMBtgHJgdmB5YHvAfgB/8IFwgqCD8IXgiICLsI8gksCWIJjwmtCcAJzwngCfIJ/woBCgAKAwoSCisKSgpmCnwKiAqKCooKkQqlCsQK5gsGCysLYAuqC/wMRgx6DJoMrQy3DLUMogx+DE0MEgvFC1kKwwoGCTYIdgftB7QHwgf0CBUIBgfOB5oHmQfaCEMIpwjoCQQJDgkVCRYJDQj5COYI2wjSCLsIjwhTCBUH3wetB3wHSwciBv4G2gatBn0GVAY3Bh0F+wXUBbcFqwWkBYoFWAUpBSQFUQWLBZ8FcwUaBL8EfARQBDEEHQQeBDEEQgQ5BBED3wO4A5wDfANNAxgC7gLcAtgCzQKwAoYCYAJHAjsCMwInAhUCAQHvAeQB3QHXAcwBuAGcAX0BXgFEAS0BGQECAOUAwQCdAH0AZABOADcAHQAD/+v/0v+3/5j/e/9m/1b/Rf8r/wz+7/7a/sz+v/6t/pj+gf5p/k7+L/4Q/fX94P3N/bz9q/2d/ZP9iv2A/Xb9bv1n/V79Uf0//Sv9Fv0B/O783fzP/ML8sfyd/In8efxu/GH8UfxA/DL8Kvwl/B38EvwG+//7/fv9+/z7+/v5+/f78fvo+9/72fvW+9L7y/vD+737u/u8+7z7ufuy+6n7oPuW+4z7gft4+2/7avtn+2T7X/tX+1D7TftR+1n7Yftm+2j7aftp+2j7Zftg+1z7WftZ+1n7V/tT+077TPtP+1b7X/tl+2n7a/tt+2/7cPtr+2P7WvtV+1n7ZPtz+337ePti+0T7Lfso+zH7OPsz+yP7FvsX+yP7Mfs4+zX7LPsf+xH7BvsE+w77Hvsr+y77Kvsm+yb7Kfss+zD7NvtB+0v7UvtZ+2L7cPt/+4r7j/uU+5z7qfu1+777xPvL+9T74fvv+/38CfwU/Bv8H/wh/CP8Jvwo/Cr8Kvwo/Cb8JPwi/CL8J/wu/Df8P/xI/FH8W/xm/HH8evyC/Ir8kvyb/KP8q/y1/ML80Pzf/O/8/v0M/Rj9If0o/TH9Pv1Q/WL9cP1+/Y/9p/3C/dj95f3t/fn+Dv4n/jv+R/5N/lX+Yf5v/nr+gv6L/pf+pv62/sb+1f7f/uT+5P7l/un+8f73/vr++v79/wP/C/8R/xP/Gf8i/yz/M/81/zj/P/9J/1H/Vv9e/23/hP+c/6//vf/O/+T//QAVACsAQQBbAHgAlQCxAM0A6gEIASQBPwFbAXsBnQG8AdcB8gIQAjECTwJmAnsClQK1AtgC9AMLAyMDQgNnA4sDrAPNA/IEFwQyBD4EQwRJBEkELQPrA5YDYwOLBCcFIQY/B0AH7wg3CCoH/QfvCCkIogkuCaAJ4gn8CfoJ4AmvCW0JKgjyCL8IhAg7B+kHnQdbByQG9wbYBsgGvwayBpoGgwZ5Bn8GiAaIBn8GeAZ7BoQGhgZ7BmcGUwZFBj0GOQY6BkEGSwZVBl0GZgZxBnwGgQZ7Bm0GXQZPBj4GKAYJBeUFvgWWBWwFPgUNBNoEpgRyBDsEAgPEA4QDRAMDArsCZgIBAZgBQQEJAO4A2QC0AHsAN//5/8b/mf9q/zz/Fv76/uX+0P64/p/+i/57/m3+XP5K/jn+Kf4Y/gj9+f3u/eX92/3N/cD9s/2o/Z39j/2B/XT9aP1c/VD9RP07/TX9NP02/Tr9Qf1H/U39Uv1X/V39Yf1m/W/9ff2P/aD9rP22/cT93P36/hf+LP4+/lT+dv6i/tH+//8q/1X/gP+q/8//8wAWADoAYgCNALsA6gEZAUcBdwGqAd8CEwJAAmMCgAKdAr8C5wMSAz0DaAOTA74D6wQWBD8EZQSJBKsEywTpBQUFIgU/BWAFhAWqBc4F7wYKBiEGOAZQBmoGgwadBrkG2Ab6BxwHOAdPB2MHdweNB6EHtAfFB9gH8AgLCCQINwhCCEcISAhFCD4INggxCDAIMwg1CDcINwg4CDQIJwgTCAoIGAhACGoIeQhcCB4H3we8B7kHxwfSB9MHzQfIB8cHxAe8B7MHsQe4B8IHwgezB5kHgwd7B3wHfAd0B2MHUAc6ByMHDQcCBwUHDAcDBuMGvwa0Bs4G9Qb9BtEGiAZJBjIGPAZMBlQGWAZjBm0GggaSBp0Gqwa7BskGzgbQBtgG6wcCBxcHKwdGB2kHjwewB8gH2wfxCAwIKAg/CFMIZQh2CIcIlgioCL4I1QjoCPUI+Qj5CPoI/QkECQ8JHwkzCUkJXglxCYMJlQmmCbcJxgnXCeoKAQobCjMKRgpQClEKSwpCCjsKOQo7CkIKTwpfCnIKhAqQCpoKowqtCrYKuAquCp4KlAqXCqMKsAq2CrYKvArNCuwLFwtJC3sLnwunC40LWAsgCv8K/QsWCzwLZguRC7kL2gvvC/kL/Av/DAMMBgwEC/sL8AvlC+EL4wvrC/IL9QvyC+kL3gvRC8YLvQu9C8gL2gvsC/gL+wv6C/kL+gwBDA4MJQxBDFoMYgxVDDYMEQvsC8sLqguKC24LXAtZC2ILdQuLC6MLuwvTC+gL/QwVDDMMVQx5DJcMrQy8DMoM2QzrDP8NEw0pDUMNYg2IDbUN5g4aDkoOcg6PDqQOsw6+DsUOyg7PDtMO2A7eDusPAg8iDz8PUg9dD2sPgg+aD6IPlA9+D3cPgQ+KD34PXw9EDzwPNg8QDrkOTg4ADegN7w3pDbwNdQ00DQoM7AzKDJ0McAxJDCYL/gvNC5YLYAspCvIKvAqPCm0KUwo8CiYKFQoHCfgJ5gnRCb8JtAmtCacJnwmZCZYJlwmXCZQJjgmKCYcJhwmICYcJggl3CWgJWAlNCUMJNwkjCQsI9QjlCNgIxwixCJgIgAhoCE8IMwgVB/gH2Qe2B5EHbQdOBzEHEwbyBs4GrQaRBncGXQZBBiUGCQXtBdIFtwWdBYUFcQVgBVAFQAUxBScFIAUYBQoE9wTpBOkE9wUGBQYE8QTPBKkEgARKBAADqANNAv0CvQKJAmECQQIiAf0BzgGbAXEBUwE7AR0A9QDHAJkAbgBDABT/5/+//57/gP9b/y//AP7S/qX+df5D/g793f2v/YX9Wv0s/Pv8zPyh/Hr8Uvwk+/D7vPuN+2j7Rfsf+vD6uvqE+lP6J/oA+dn5rvl9+Uj5Evjf+LH4hfhX+Cb39ffG95r3b/dD9xX26fa+9pX2bfZH9iP2APXc9bT1jPVk9T71GfT19ND0rPSI9GT0P/Qb8/vz3fPA86DzgfNm81HzPPMj8wTy5PLK8rryr/Kl8pbyg/Ju8lzyTvJE8jvyM/It8ifyH/IP8fXx1PG08aLxofGp8a3xpPGR8X7xc/Fu8WrxYvFX8U7xS/FL8UvxRvE/8TvxPvFK8VzxbPF08XDxY/FV8U3xUfFf8XLxhPGP8ZDxi/GK8ZXxr/HO8ejx9PH18fTx+fIH8hnyKfI08j3ySPJZ8m/yhPKV8qLyrvK/8tfy8/MP8ybzOPNK813zcfOI85/zuvPa8/z0HvQ79FL0ZvR89Jf0tPTR9O31CPUk9UL1XvV59ZP1rvXM9ez2DfYu9lP2evai9sr28/cg91L3hPey9974D/hJ+Ir4yfkD+Tn5c/m2+gD6TPqb+vP7Vfu9/CT8h/zn/Uf9pP36/kf+j/7Y/yf/fv/aADcAjgDWAQoBKwFEAWEBiQG7Ae4CFwIxAkACUAJxAq4DAwNiA7cD9gQbBCgEIgQSBAMEAQQQBCcEOwRFBEgEPgQZA8IDMgKFAe4BmwGTAbsB7QISAi4CTwJ3Ap8CuwLMAt0C+gMjA0wDbAN+A4wDngO2A84D3QPgA94D4gPxBAYEGAQdBBUECwQIBBUEMAROBGgEegSHBJUEqgTGBOoFFwVIBXYFlgWpBbsF4gYpBokG6gc5B28HkgesB8AHzQfWB+IH+wgmCF8IoAjjCSMJWgmGCaoJyQnkCfgJ/wn4CeoJ3gnbCeIJ8goHCh8KNQpEClAKXApuCoQKnQq3CtoLDwtXC6YL6gwbDDgMSwxXDFoMSgwjC+kLogtRCu8KcAnQCRoIbAfrB68HsgfSB+gH3Qe/B7IH0QgfCH8Izgj8CQ0JEwkVCREJAAjmCMwIugiqCJAIZAgqB+wHsQd2Bz0HCAbfBr4GnAZvBj0GEwX3BeIFxQWgBYIFcwVqBU8FGgTgBMwE8AU3BWwFaQUuBNUEgAQ6BAgD7APrA/wECQP+A9YDpAN+A2gDUwMxAwQC3ALFArwCsgKbAncCUQI1AiQCFwIKAfkB6AHcAdYB0wHOAcIBsgGdAYYBbAFPATEBFgD9AOIAwgChAIEAZgBNADMAGP/+/+b/z/+0/5X/eP9g/0//PP8j/wX+6v7W/sf+t/6k/o/+e/5n/k3+Lf4L/e391P2+/aj9k/2D/Xf9bv1m/V79V/1R/Ur9Qf00/SX9E/z9/OT8zPy3/KT8k/yA/G/8Y/xb/FL8RPwz/CT8GvwS/An7/fvw++n75/vo++j75/vk++L73/vZ+9P7zfvJ+8T7v/u4+7P7sfuw+677q/ul+537lfuN+4X7fft2+3D7bfts+2v7aPti+1r7VPtT+1f7W/te+2D7Y/tn+2n7Z/ti+1v7V/tX+1j7V/tS+0z7SPtH+0z7UvtW+1j7V/tW+1X7UvtO+0v7S/tP+1j7Y/tu+3X7cfti+037Pvs5+z37P/s3+yj7GvsU+xn7Ifso+yn7Jfsa+wv6//r8+wX7E/sc+x77Hfsg+yX7Kvss+yz7Mfs8+0f7TvtS+1n7Zvt3+4X7jvuT+5n7o/ut+7f7v/vJ+9T74fvu+/r8B/wU/B38Ivwi/CL8I/wm/Cn8K/wq/Cf8JPwi/CP8KPwv/DX8Ovw//ET8TfxY/GP8bvx5/IP8jfyW/J/8qPyz/MD8zfza/OT87vz4/QL9C/0T/Rr9JP0z/UP9U/1j/Xf9kf2v/cn92f3k/e/+Af4Y/i7+P/5M/lj+aP53/oP+jf6X/qL+sP6//s3+2/7l/ur+7f7w/vf+//8F/wb/B/8K/xH/GP8c/yD/KP81/0H/Rv9H/0j/T/9a/2L/Zf9p/3L/g/+X/6n/uf/M/+L/+QAOACIAOgBXAHgAlgCwAMoA5gEEASABOQFTAXABkQGwAc0B6QIJAioCRwJdAnECigKpAscC4AL2AxEDNQNeA4MDogPAA+QECAQjBDEEOgRDBEIEIAPXA4EDWgOZBE8FXAZ/B3QICgg0CBAH2wfXCCQIrAk6CZ8J0AncCdUJvQmQCVIJEwjbCKUIXwgJB68HZAcvBwsG7AbRBrsGpwaNBnAGWAZQBlgGYgZiBlgGUwZZBmcGcAZrBlwGSwY6BisGHgYYBhoGHwYjBiYGLgY9Bk0GVgZTBkoGRQZEBj4GKwYJBd4FrwV9BUQFCATOBKEEgQRkBDwD/QOnA0UC5QKPAkIB9AGfAUcA/QDPALkAqQCKAFYAGf/i/7P/iP9b/y//Df73/uX+z/61/pz+jP6C/nf+Zv5S/j/+L/4h/hP+BP32/ev93v3P/b39rf2g/ZX9iv19/XD9ZP1a/VH9Sf1A/Tr9N/04/T79Rv1N/VP9Wv1g/WX9aP1q/XH9gP2V/aj9tf2//c795/4H/iP+Nv5C/lL+bP6P/rn+5/8X/0n/ev+m/87/8gAXAD0AZACNALkA6AEYAUcBdwGrAeQCHAJMAnACjAKoAssC9QMjA1EDfgOrA9cEAAQnBEwEcASUBLYE1gTyBQ4FKgVJBWoFjgWyBdQF8gYMBiMGPAZaBnwGngbABuAHAAcfBzwHVQdqB30HjgegB7IHxAfYB+8ICggkCDwITwhcCGQIZwhlCF4IVwhSCFIIUwhTCFMIVAhWCFMIRwg0CCkINAhWCHkIhAhoCDMIAAfnB+oH+ggDCAIH+gf0B/MH7wflB9gH0gfWB98H4QfVB8AHrweqB6wHqweeB4cHbAdRBzUHGgcIBwEG/AbsBsoGqAaiBr0G4AbkBrgGcgY8Bi0GPQZQBlUGUwZaBnIGhgaUBp0GqAa2BsIGyQbRBuEG/AcYBy0HPQdTB3IHlge0B8gH1wfqCAMIHwg2CEkIWAhoCHUIggiRCKcIwwjcCOkI6wjoCOkI8Qj/CQ0JGwkqCT0JUgloCX8JlgmsCcAJ0QngCfAKAAoOChoKKAo9ClcKbgp3CmwKVgpGCkYKVwptCn0KhwqPCpwKrAq6Cr4KtAqiCpIKiwqNCpUKogqyCsoK7AsWCz4LXwt1C4ALgQt0C1kLOAsdCxQLIAs4C1gLegugC8gL6wwFDBUMHAwhDCUMJgwkDB0MFwwTDBEMEQwPDAwMCQwJDA0MEQwRDAoMAAv4C/YL+wwCDAoMEAwUDBUMFAwXDCcMRQxqDIYMiQx0DFEMLQwNC+4LzQutC5ULiQuKC5MLowu4C9ML7gwHDBwMMAxJDGcMjAyxDNQM8g0LDR8NMg1GDVsNcg2IDaENvg3iDgwOOQ5kDosOrQ7JDt8O7Q70DvgO/A8CDwkPEQ8gDzsPZQ+SD7EPuQ+0D7MPwA/RD9YPyw+8D7gPvw+8D6IPeg9gD18PYw9CDuwOew4hDfsN+Q3zDcsNig1JDRkM+AzXDLAMiAxiDD0MEgvhC6wLdwtECxIK4Qq2CpEKdApcCkgKOAooChUJ/wnpCdkJ0AnJCcAJtQmrCaYJpQmkCaEJmwmWCZMJkgmTCZMJjwmGCXkJbAliCVsJUAlACS0JGwkNCP4I6wjTCLoIowiNCHUIWgg9CCEIBQfkB8IHnwd/B2EHQQccBvgG1ga5Bp4GgwZmBkkGLgYSBfQF1wW7BaQFkgWDBXMFZAVYBVEFTAVBBS8FHAUUBR8FNgVHBUIFJwUBBNgEqwRtBBoDvANlAyIC8QLKAqMCfAJUAioB/QHRAa0BkQF3AVcBLAD9ANAApQB6AEwAIf/9/9//wP+Z/2r/Ov8L/t3+rf57/kn+G/3x/cb9mf1o/Tf9C/zi/Lr8kPxj/DP8A/vW+677h/te+y76+PrC+o/6Y/o9+hj57/m++Yj5Ufkd+O34v/iR+GH4MvgE99n3rfeC91f3LfcD9tj2rPaB9ln2NPYP9er1xPWe9Xn1UvUs9Qb04vTA9J30ePRR9C30DfPv89DzsvOW83/zafNP8zDzD/Ly8uDy1PLI8rnyqvKd8pXyj/KG8nzycfJr8mjyZPJX8kLyKPIT8gryCvII8fzx5PHJ8bbxsvG38bvxtfGn8ZnxkvGR8ZHxjfGD8XrxefGD8ZXxpfGr8aTxlvGG8X3xffGK8Z/xtvHF8cfxwPG88cXx3PH48g3yFvIW8hfyH/Iv8kLyUvJe8mbybvJ78o7ypPK38sLyx/LP8uLzAPMj80DzVPNj83TzivOk877z1vPv9Az0LPRL9Gb0ffST9Kr0w/Te9Pr1F/U19VP1b/WI9aL1v/Xd9fr2FvY09lf2f/ao9tP2//cx92X3lve+9+H4CPg5+HT4rvji+RL5RPl5+a754PoU+lX6rfsY+4r7+Pxe/MH9JP2H/ej+Qv6V/uH/Lv+A/9oANACCALsA3wD5ARcBPgFsAZYBtQHJAdkB8gIfAmYCvwMYA1sDfAN6A2QDSQM1AzIDPgNVA20DfwOMA5UDlwN8Ay8CrAIQAYwBSQFLAXkBrgHXAfcCGAI8Al8CeQKLAp8CuwLfAwIDHQMwA0EDVQNsA4MDlAOeA6QDrAO3A8YD1APZA9QDyQPEA84D6AQLBCoEPgRIBFIEZQSDBKsE1gUABSEFNwVFBVgFgwXOBjEGmAbuBywHVAdvB4AHiAeLB5AHowfICAIISQiVCN8JIAlXCYUJrQnPCeYJ8QnvCeQJ1QnECbUJqwmsCboJ0QnqCgEKFQooCjwKUwpvCpcK0AsUC1sLmAvGC+YL/gwPDBEL+gvIC4ALLgraCoQKIgmpCR0IlAgqB/IH5wfvB/EH5QfaB+cIFwhfCKgI3Qj5CQUJCwkNCQYI8QjQCK4IkAh4CFwINggFB8sHigdEBwAGxAaXBnUGUwYpBfoF0QW3BaIFiQVqBVEFRgU/BScE8QSwBIoEmATQBQkFIAUMBN4EqwR5BEYEFAPqA9EDwgOuA48DaQNIAzQDIwMMAuwCygKxAqMClwKEAmYCQwIjAgwB+QHmAdQBxgHAAcIBxgHDAbcBpQGUAYUBcgFYATkBGAD5AN0AwAChAIIAZQBJAC0AEf/5/+T/zv+1/5f/ev9h/0z/Nf8Z/v3+5v7X/sn+t/6f/ob+cf5c/kT+Jf4E/eX9y/2y/Zj9gP1r/Vz9Uf1J/UL9Pf04/TL9Kv0h/Rf9Cfz2/Nv8v/yk/I38efxl/Fb8TfxI/EP8OPwo/Bj8DPwC+/b76fvd+9f72PvZ+9j71fvS+9D70PvO+8r7w/u7+7X7sPut+6v7qvup+6X7ofua+5L7iPt/+3f7cftu+2r7aPtn+2f7Zvti+137WftZ+1v7XPtc+1v7Xftj+2r7bftp+2L7XPtZ+1j7VvtR+0r7RPtB+0H7QvtD+0X7RvtG+0P7Pfs4+zj7PvtI+1L7Wftc+177Xvtc+1j7VftT+1H7TftC+zP7I/sZ+xT7FPsX+xv7HPsW+wn6/fr5+v/7CfsQ+xT7F/se+yb7LPss+yz7Mvs8+0f7TftO+1L7XPtr+3j7gvuK+5T7ofut+7j7wvvM+9f74/vt+/j8BPwR/Bv8IPwg/B78Hvwi/Cf8Kvwq/Cf8Jfwk/Cb8K/ww/DT8OPw8/EH8R/xP/Fn8ZPxv/Hv8hfyP/Jf8oPyr/Lf8xPzP/Nn84/zu/Pr9Bf0P/Rf9H/0q/Tb9RP1U/Wj9gv2f/br9zv3b/ef99/4L/iH+Nf5G/lj+af56/or+l/6k/rH+v/7N/tr+5f7t/vL+9/7+/wf/Dv8S/xH/Ev8W/x3/I/8n/yr/Mv8+/0r/UP9S/1X/Xf9o/3D/df96/4P/kv+j/7L/wf/T/+n//wASACUAPgBdAH0AmQCwAMkA5QEDAR4BNgFMAWcBhwGnAcUB5AIEAiUCQQJYAm4CiQKmAsIC2ALvAw0DNQNfA4IDngO7A94EAgQeBC0EOQREBEEEGgPLA3gDXAOtBHMFhgagB34H9wgJB9sHrwfACCAIrwk0CYkJrQm1CbMJoQl3CTkI+Ai+CIMIOgfhB4sHSwcnBxEG+gbeBr8GngZ6BlUGOQYwBjYGPgY4BioGIQYpBjwGTQZSBksGPAYqBhgGBwX7BfUF7gXlBd8F5AX1BgoGFQYUBhEGFwYjBicGFwXzBcgFmwVrBS8E6QSmBHgEYQRRBC8D6QOBAwcCkQItAd8BmgFXARUA3QC4AKMAjwBsADkAAP/N/6L/ef9P/yj/Cf71/uL+y/6w/pr+j/6I/n7+bP5W/kP+Nf4p/hv+DP3+/fL95f3V/cL9r/2f/ZL9hv14/Wv9X/1Y/VL9S/1E/Tz9OP06/UH9Sv1S/Vj9Xv1k/Wn9a/1t/XL9f/2R/aP9sP28/c796f4K/if+O/5K/lj+bf6I/qv+1f8J/0L/d/+m/8z/8AAVADsAYwCMALsA7AEdAUsBdgGnAeECHgJUAn0CnAK6AuADCwM5A2QDjQO1A9wEAQQlBEkEbwSWBLwE3wT/BR8FPwVgBYEFoQXCBeIGAAYbBjUGUgZ0BpoGwAbjBwEHHgc4B1EHZwd8B48Hoge0B8UH1wfsCAUIIAg6CFEIZAhyCH0IgQiACHoIdQhyCHIIcghyCHAIcAhyCHEIaAhZCE4ITwheCG4IbwhcCD0IIwgYCB4IJwgrCCUIHQgYCBgIFwgPCAAH8AfnB+QH5AfgB9YHywfDB7wHsgekB5IHgQduB1QHNAcSBvgG4QbGBqIGgQZ0BoAGkwaRBnEGRQYrBjEGSQZcBl8GWwZhBnwGiwaSBpYGnwauBr4GzQbcBvMHEAcsBz8HTQdeB3gHlgevB8AHzgfhB/oIEQgjCDIIQghVCGYIdAiBCJYIsQjLCNoI3QjbCN8I7Aj9CQ4JHAksCT4JVAlrCYUJoQm8CdIJ4AnpCfAJ+Qn+CgIKDAopCl0KlQq2CrAKigpkClUKYgp6CokKjgqRCpwKrAq1Cq4KmgqFCnsKfgqLCp0KtwrcCwsLPAtkC3kLfAt0C2gLXQtRC0MLNwswCzQLQQtVC20LiwuwC9kMAAwgDDUMQgxIDEkMRwxCDD8MQAxCDEEMOAwqDB0MFwweDC4MPwxHDEQMOQwsDCQMIAwhDCYMLgw1DDUMMgw0DEUMZwyLDJ4Mlwx6DFkMPgwmDAwL7QvRC8ELvgvCC8kL0QviC/oMFQwtDEIMWgx4DJwMwQzmDQoNMA1TDXANhw2aDa8Nxw3gDfoOFw45DmEOiA6rDskO5g8CDxgPJg8qDysPMA83Dz8PSg9gD4sPxQ/7EBYQDw/4D+gP7Q/7EAIP/A/xD+0P6g/XD68PgA9nD2oPcQ9TDwEOlg4/DhcODg4CDdsNmw1cDSwNCwztDMkMoQx4DE8MJAv2C8ULkwtgCy0K/ArQCq0Kkwp/CnAKYQpOCjYKHAoHCfkJ8QnoCdsJzAnACboJuAm2CbMJrQmoCaQJogmhCaAJnAmVCYsJggl7CXQJawleCU8JQQkzCSMJDgj1CN4Iygi2CJ4IgghlCEkILggRB/IH0QexB5AHbAdFBx8G/gbhBsYGqQaMBm8GUwY2BhcF+AXeBcoFuwWrBZkFiAV/BX0FegVvBVkFRQVABVEFawV5BW4FTQUjBPgExwSEBC4D0QOEA08DLAMKAuECsQKBAlYCLwIMAewBzwGxAYwBYQEyAQUA2wCwAIUAXQA7ABz/+//S/6P/c/9F/xb+5f60/oX+W/4z/gb91f2l/Xj9Uf0p/P78zvye/G/8RPwb+/L7yfud+237OPsD+tD6o/p8+lf6Lvn++cn5kflc+Sr4+vjM+J34cPhD+Bb36fe995L3aPc+9xL25fa59o/2afZE9h/1+vXV9a/1ifVi9Tz1GfT49Nf0svSL9Gb0RPQm9Afz5/PJ863zk/N481rzPfMk8xPzBvL38uXy0/LH8sHyvfK28qzyofKb8pfyk/KK8nzybPJf8lbyTPI+8ifyC/Hz8eTx4fHk8ebx4fHW8cvxxPHC8cHxvPG08a3xr/G68cnx0/HS8cbxtPGj8Zjxl/Gi8bfxzvHe8eDx2vHX8eLx+fIS8iLyJ/Io8izyOfJM8l/ycPJ+8ojykfKd8q/yxvLb8ujy6/Ls8vfzE/M481rzcvOB85DzpfO+89fz6/P/9Bj0N/RZ9HX0i/Sf9LT0zvTq9Qj1JfVB9Vv1dPWN9aj1x/Xm9gT2IPY+9mH2ifay9tz3Cfc792/3n/fD9933+Pgb+Ej4efio+Nn5DvlG+Xn5ovnH+fj6Qfqg+wj7a/vF/Bz8e/zn/Vv9zf4x/oT+zP8V/2X/uQAHAEUAcQCWAL0A5wENASgBOAFGAVwBggG8AgYCVgKcAsYCzAKzAowCbQJkAnECiQKfAq0CtwLEAtYC4gLLAoACBQF+ARsA+QESAUgBegGeAbsB2gH+Ah8COAJNAmYChgKoAsQC2ALnAvcDCwMjAzsDTgNcA2MDaANuA3kDhwOUA5gDkwONA5IDpwPGA+YD/QQLBBoELwROBHIElQSzBMsE3gTxBQ8FPwWGBdwGNQaGBsgG+gceBzUHQQdFB0sHWgd6B68H9QhGCJkI4wkhCVMJfAmeCbkJzAnWCdcJzgm5CZ0JgQlvCW4JegmPCaUJuwnSCewKCgoxCmAKmArTCw4LRAt0C50LvAvLC8QLowtoCxwKxgpwChsJwwljCQAIpAhhCDwIKggdCAoH+wf/CCEIWQiXCMYI4gjvCPcI/Aj8CPAI1AirCH4IVQg0CBgH/AfXB6IHXwcSBsUGhAZTBi0GCQXfBbQFjgVyBV0FRwUwBSAFGwUXBQIE0gSTBGIEUwRkBIAElQSlBLkE0gTcBL8EdAQQA7UDewNfA1ADPwMoAxAC+gLmAs8CtgKeAowCewJmAkkCJwIGAe0B2gHHAbQBpAGfAaYBsAGyAacBlgGFAXoBbQFXATgBFADyANUAugCeAIAAYwBFACkAD//5/+b/0v+5/5z/f/9n/1D/Nf8W/vn+5P7X/sv+t/6b/n/+Zv5Q/jf+Gf36/dz9wv2o/Y39cv1Z/UX9N/0s/ST9H/0c/Rf9EP0I/QD89/zo/NL8t/yb/IH8afxV/EX8PPw4/DP8K/we/A/8Afv0++b72fvP+837z/vP+8v7xfu/+7/7wPvB+777tvut+6X7oPue+5/7n/ue+5r7lPuN+4T7eftv+2f7Yvte+1r7VftR+1D7UPtR+1L7VPtX+1v7Xfta+1b7Vvtb+2T7avto+2L7WvtU+1D7TPtG+0D7Ovs2+zP7MPsw+zL7N/s7+zv7N/sz+zX7PftH+037TPtH+0X7RvtL+0/7TvtL+0X7Pfsz+yn7H/sW+w77CfsJ+wz7D/sO+wf6//r6+v37A/sK+w77E/sZ+x/7Ivsj+yb7Lvs6+0X7S/tO+1P7XPtn+3D7d/uB+5D7oPuv+7n7wvvL+9b74Pvp+/L7/fwK/BX8Gvwa/Bj8Gfwd/CP8Jvwn/CX8I/wk/Cf8Kvwu/DL8OPw//EX8SvxP/FX8Xvxp/HT8f/yJ/JL8m/yk/K78ufzG/NL83vzq/Pb9BP0R/R39Jv0u/Tf9Qf1P/WD9d/2R/av9wv3T/eH98f4E/hn+Lf4//lD+Yf5y/oP+k/6i/rH+wP7P/tv+5f7t/vT++/8G/xD/GP8Z/xj/Gf8e/yf/Lv8x/zL/N/9A/0z/Vf9b/2L/a/91/3//h/+Q/53/rP+5/8T/0f/h//YACwAdADAARwBjAIAAmQCwAMgA5AECARsBMAFGAWEBgQGjAcIB4AH+AhwCNwJPAmkChwKmAsIC2QLyAxQDPgNoA4gDoQO9A+AEBAQfBC8EPARGBD8EEwPCA3QDZQPCBI4FmQadB18HvgfFB6AHjQe5CCoItwkuCXQJkAmaCZsJiQlYCRAIxQiFCEoICAe9B3kHSwczByEHBwbkBr8GmgZxBkYGIgYQBhAGEwYLBfkF7QXyBgYGHQYqBioGIAYQBf0F6gXYBccFswWdBY0FjgWgBbYFwgXDBcYF1wXvBf0F8wXTBa4FiwVjBSoE4QSZBGcETgQ9BBcDygNbAtwCYgH8AaoBZgEqAPYAzgCyAJwAfwBTAB3/5/+5/5L/bv9I/yX/CP7y/t7+xv6u/pv+kP6I/nv+aP5U/kT+OP4s/hz+DP3+/fP95/3X/cP9r/2e/Y79gP1x/WT9W/1V/VD9S/1D/Tv9OP06/UP9Tv1X/V39Yf1l/Wr9bf1u/XH9ef2F/ZT9o/2z/cj94/4C/iD+Of5P/mX+e/6S/q3+0/8F/z7/dv+m/83/8gAYAD4AZQCOALsA7QEdAUcBcAGgAdsCGwJUAoECpQLIAvIDHwNKA3ADkQOzA9YD+wQgBEYEbgSXBL8E5QULBTEFVwV6BZoFtwXUBfMGEgYvBksGagaOBrMG1wb2BxEHKgdDB1sHcweJB6AHtQfIB9kH6gf9CBUILwhJCGAIcwiCCI4IlgiXCJQIkAiOCI4IkAiQCI4IjQiNCI0IigiECH0Idwh0CHIIbQhjCFgITghICEYIRghECD8IOgg1CDQINAgxCCUIEgf8B+0H6AfpB+kH4wfVB8IHrwegB5gHkweKB3MHTgciBvwG3gbEBqYGhgZuBmMGXwZWBkUGNQY0BkUGWwZnBmYGZAZrBn4GiAaLBo4GmQauBsUG2gbtBwMHHgc3B0kHVwdnB30HlAemB7QHxAfaB/IIBAgQCBoIKghCCFkIaQh2CIcInwi3CMgIzwjTCNsI6wj8CQ0JHgk0CUsJYgl4CZEJsAnRCekJ8gnyCfUKAgoSCh0KJgo8CmoKpQrOCs4KqAp8CmcKcgqKCpsKnQqbCp0KogqfCo0KdgpqCnEKiAqmCscK7AsYC0cLbQt+C3sLbQtgC1sLXAtdC1oLUwtOC04LVgtmC30LnAvDC+4MGAw9DFkMawxyDHEMbAxnDGcMawxtDGcMVwxDDDUMNAxCDFYMZQxqDGQMWQxODEYMQgxDDEgMUgxYDFYMUAxQDF8MfAyWDJsMiQxtDFcMSww/DCoMDgv4C/EL9wv9C/8MAgwMDCAMNwxLDGAMfQyjDM0M9Q0ZDUANaw2YDbwN1A3mDfoOEw4uDkkOZg6HDqwOzw7qDwEPGQ8zD0oPWA9dD2APaA9xD3kPgg+YD8gQCRBAEFUQQhAgEAwQDxAdECMQGxAOEAMP9g/YD6oPfw9sD3EPcA9KDvcOkw5IDiUOHA4NDeQNqg1xDUYNKA0LDOcMvAyQDGQMOgwPC+ELrwt6C0ULFgrvCtIKvQqtCp4KjAp0ClkKPQooChsKEgoGCfYJ5QnYCdIJzgnMCccJwwm+CbkJtAmwCa4JrAmpCaMJnQmYCZMJigl+CXAJYwlWCUYJMQkaCQUI8gjeCMcIqgiMCHAIVQg6CB0H/wffB7wHlQdsB0YHJQcJBu0G0AayBpQGdwZYBjgGGgYDBfMF5gXVBcAFsAWpBasFqwWfBYcFcQVsBX0FlgWhBZMFbQU9BQ0E1gSQBDwD6gOrA4QDaQNJAxsC5QKyAokCZwJIAikCCgHnAcABlQFpAT0BEwDoAL8AmQB4AFcAMgAI/9r/rf+A/1H/H/7v/sT+nP5y/kH+Df3e/bf9lv1x/UL9DfzX/Kj8fvxW/C38BPvZ+6r7ePtC+w/64vq6+pP6aPo4+gP5z/mc+Wz5PfkO+N/4sviE+Ff4Kff899D3pfd59033IPb29s72qPaD9lz2NPYO9ej1wfWa9XT1T/Ur9Qj04/S+9J30f/Rj9Ef0KPQH8+fzyfOr847zc/Nd80vzPPMp8xPy/PLq8t/y2fLT8szyxfLA8rzytvKu8qPymPKL8nvyZ/JQ8jryJvIX8gzyAvH68fPx7fHo8ePx3vHa8dXxz/HL8czx1fHj8fHx9vHv8eDxz/HB8bjxt/HA8dDx4/Hv8e/x6/Ht8fzyFfIs8jfyOfI78kPyVPJn8nnyiPKX8qXysvK/8tDy5vL98w3zE/MU8xvzMfNS83PzifOX86TztvPM8+Hz8/QF9B70QPRi9H70kvSj9Ln01fT19RL1K/VB9Vf1bvWH9aX1xfXn9gj2J/ZI9m72lfa89uH3Bvcw92D3jfey98335vgD+Cf4Tvh3+KX42/kW+Uz5efmf+cv6CfpW+qj69Ps3+3v7zPwz/Kv9Kf2f/gP+V/6i/uz/N/9//77/9gArAF8AjQCrALkAvgDLAOsBHwFfAaEB3gINAiICGwH7AdcBwwHIAeAB+AH+AfEB4wHkAfcCCAH5AbYBTgDpALEAtgDnASEBTAFoAYEBoAHEAeMB+wISAi4CUgJ1Ao4CnAKkAq4CvQLQAuYC+wMLAxUDGQMdAygDOQNMA1kDXANbA18DbQOFA6ADuAPLA98D9wQTBDEETQRlBHoEkQStBNQFBwVEBYYFygYQBlQGkAa/Bt4G7wb4BwMHFQc0B2UHqQf8CFMIowjkCRYJPAleCXsJlQmpCbIJrwmeCYMJZglOCUEJPQlBCUsJXQl5CaAJzQn+Ci0KWQqCCqsK2QsNC0ALZgtzC2MLPAsCCrwKaQoNCawJTAj3CLMIhwhwCGQIUgg0CBMIBAgYCEwIjAi/CNoI4gjjCOQI4gjYCMMIoQh2CEMIEgfoB8kHsAeRB2MHIQbVBokGRwYSBeYFvQWTBWoFRgUqBRUFBAT3BPAE7QTmBNAEqAR0BEMEHwQJA/sD+gQXBFoEtgT/BQMEsgQnA5sDPgMaAxsDHgMRAvcC2wLFArMCoAKJAnQCXgJGAicCAgHhAckBuwGvAZ4BjAGDAYYBkAGVAY8BgAFyAWgBXQFKASwBCADmAMoAsQCZAH4AYgBFACsAFAAC//D/2//B/6L/hv9u/1j/Pv8f/wH+6v7Z/sj+sP6T/nX+W/5E/ir+DP3t/dD9t/2f/YX9aP1N/Tb9Iv0T/Qn9BP0A/Pv89Pzt/Ob84PzX/Mf8sfyX/H38ZPxP/D78NPwu/Cj8IPwV/Aj7+vvq+9v7zvvI+8j7yvvH+7/7tfut+6v7rPut+6r7o/ub+5T7j/uN+437jPuL+4f7gft6+3L7aftg+1n7VPtP+0j7P/s3+zT7Nvs6+z77Q/tI+077UftP+0v7SvtN+1T7WftX+1H7SvtE+0D7O/s2+zD7LPsp+yX7Ivsh+yX7LPsz+zf7OPs5+z/7R/tO+077R/s++zj7OPs5+zj7Mvsq+yH7GvsV+xL7D/sM+wf7Afr9+vz6//sD+wP7AvsB+wL7BfsI+wz7D/sS+xP7FPsW+x37Kfs2+0D7RvtN+1f7Yvtq+2/7dft/+477n/us+7T7u/vE+9D73Pvk++z79fwA/Ar8EPwR/BD8EvwX/B38IPwh/B/8IPwi/CX8J/wq/C78Nfw+/Eb8S/xP/FT8XPxm/HL8fvyJ/JT8nvyn/LD8uvzF/NL83vzo/PP9AP0P/R79Kv0z/Tn9Qf1L/Vn9a/2C/Zr9sP3E/df96f3+/hP+Jf41/kT+U/5j/nT+hP6U/qP+s/7D/tL+3f7m/u/++v8H/xP/G/8e/x//Iv8q/zT/PP9A/0D/Qf9H/1D/W/9n/3H/fP+G/4//mv+m/7X/w//N/9b/4f/yAAYAGgArADkASwBhAHoAkwCtAMgA5AD+ARQBKQFCAWABgwGlAcQB4AH7AhUCLgJGAmICggKjAsAC2gL4Ax4DSQNxA48DpwPDA+YECAQhBDEEPQRDBDYEBQO3A3MDcgPXBJwFkAZ2BxoHagd1B2YHcQe4CDUIwQkvCW4JiQmUCZMJeAk6COMIjQhHCA0H0weYB2YHRwc0Bx8G/QbVBrAGjwZpBjkGCgXsBeMF4wXeBdAFxAXEBdQF6AX2BfsF9gXqBdkFxQWtBZQFdgVXBUEFPQVJBVoFZAVoBXMFjQWuBcIFvwWqBZEFegVcBSgE4QSZBGUERwQrA/oDqAM+AswCXgH6AaABUAEOAN0AvQCmAI0AaAA1//7/zP+l/4T/ZP9C/yD/BP7t/tj+wv6t/pv+jf5+/mz+Wf5K/j/+Nv4o/hb+BP32/ev93v3N/bn9pf2T/YT9df1o/V/9WP1T/U39Rv0//Tn9N/07/UP9T/1b/WP9aP1s/W/9cv1y/XH9c/17/Yj9mf2u/cb93/37/hf+NP5S/m/+if6g/rj+2f8G/zv/cf+h/83/9wAhAEgAbgCUAL4A7AEYAUEBagGZAdQCEwJMAnoCoALJAvcDJwNQA3IDkQOxA9UD/QQlBEwEcwSaBMEE6AURBTwFZgWKBakFxQXjBgIGIgY/BlsGegadBsAG4Qb+BxcHMQdLB2UHfgeWB64HxQfZB+kH9wgICB0INwhQCGcIeQiJCJgIpQitCK8IrQirCKsIrQiuCKwIqQinCKgIqgisCKoIowiYCI4IiQiHCIUIfghxCGQIXAhbCF0IWwhUCEsIRghECD8IMAgaCAgIAAgCCAQH/QfqB9EHuwetB6gHpQedB4YHYQc2BxIG/AbtBtwGwQahBoMGbAZcBlMGUQZWBmAGZwZnBmMGZAZvBn8GhQaIBpEGpAa+BtcG6wb8Bw8HJgc9B1AHYAdxB4MHkweeB6gHuAfPB+gH+AgACAgIGQgyCEwIXghsCHwIkQioCLoIxgjRCOAI8AkACRAJJglDCWEJeQmLCaAJwQnlCf4KAQn5CgAKIgpVCn0KiwqHCokKmwqxCrUKoQqFCnsKiAqgCq4KrQqlCp0KlgqKCncKagpwCo4KugrlCwoLKgtKC2ULcwtyC2YLXgtiC3ALfwuFC4ALdAtnC2ELZQt0C44LswvfDA4MOwxjDIQMmgykDKIMmgyVDJMMkwyODIAMbAxdDFoMZAx1DIEMgwx7DG8MZgxgDF0MXAxeDGUMbgxyDG0MYwxiDHAMhwyVDI4MdwxiDFsMXgxcDEsMMQwhDCIMLgw2DDUMNAw8DE4MYAxvDIEMngzJDPkNJA1LDXcNqQ3cDgQOHA4tDkIOXQ55DpMOrQ7MDvAPEA8nDzkPSw9jD3kPiA+OD5UPnw+qD68Psg/ED/AQLxBiEHAQWhA5ECoQMBA8EDoQKRATEAEP7A/LD6IPgg96D4APdQ9ADucOig5KDjAOKA4XDfANvQ2NDWgNSQ0oDQAM0wylDHkMTgwkC/YLxQuTC2MLOwsdCwYK8grdCsgKsAqVCnoKYQpOCkAKMwojChEKAAn0Ce0J6AnjCd4J2QnUCc8JyQnECcMJxQnFCcIJvQm4CbMJqgmdCY8JgQl0CWcJVQlBCSwJGAkECOsIzwiyCJYIewhgCEQIJwgIB+YHvgeUB24HTgcyBxcG+AbZBrkGmgZ6BloGPQYoBhoGDQX9BekF2gXWBdoF2gXMBbEFmQWTBaIFugXGBbcFjwVZBR4E3gSXBE0ECwPdA78DpgOCA1EDGwLqAsMCowKEAmMCPwIaAfIByQGfAXYBTgElAP0A1wC0AJEAawBAABP/5/+6/4v/W/8t/wP+2/6u/nr+Rf4X/fT91v2y/YP9Tf0Y/Oj8vfyT/Gn8QPwW++j7tvuB+077Ifr5+tD6ovpw+jz6C/nd+bD5gvlT+SP49PjG+Jn4bfhB+BX36Pe594v3X/c19w726fbC9pr2cvZK9iT1/fXW9a71hfVc9TT1DvTs9M70tfSe9IP0ZfRE9CP0A/Pk88XzqfOR837zbfNa80PzKfMS8wDy8/Lr8uby4fLd8tfyz/LG8r3ysvKj8o/ydvJe8k3yRPI88jLyIfIO8gDx+vH58frx9/Hw8efx4PHe8eTx8vID8g/yEfIJ8f3x8fHp8ePx4vHm8fDx/PIE8gXyBPIL8h7yNvJK8lLyU/JW8mPydfKH8pPynvKs8r3yzvLd8uvy/fMS8yXzMfM28z/zUfNr84XzmPOl87LzxPPZ8+zz+/QN9Cf0SvRs9If0mfSp9MD03/T/9Rr1LPU89U71ZPWA9Z71v/Xi9gX2KvZQ9nf2nvbB9t72+vcZ9z/3aPeQ97P30/f1+Bn4Pvhj+I34vfj0+Sv5X/mO+b/59vox+mv6n/rP+wP7Q/uX+/78c/zt/WL9yv4k/nP+uv7+/z//gf/C//4AKwBDAEsAUQBnAJQA0AEPAUYBcAGMAZYBjAFyAVgBUQFjAYEBkgGDAVcBJQEHAQcBEwELAOAAngBoAFwAfwC8APQBGQExAUoBawGOAaoBvwHWAfUCGgI8AlICXAJgAmUCcAJ/ApQCqgK+AswC1QLcAucC9wMIAxUDHAMhAykDNwNJA10DcAODA5gDsAPLA+gEBAQfBDYETgRtBJYEyQT+BTIFZwWkBekGLwZoBosGmgaiBq4GxAboBx0HZAe5CBMIZAikCNMI+AkZCTgJUgllCW0JagleCU0JOwkpCRkJCQj+CP8JEQk3CWoJognUCfkKEAofCjEKUwqJCsUK9QsHCvkK0wqcClYJ/QmTCSMIvwh6CFwIXQhrCG0IVwgsCAUH/ggkCGcIqQjSCN0I2AjPCMUItwifCIAIXgg3CAkH1AehB3gHWQc6Bw8G1AaOBkgGCQXQBZ4FcAVGBSEFAATkBNAExATABL8EugSqBI0EZgQ8BBQD7wPIA6EDiQOWA9oERgSrBNEEmwQaA4YDFgLjAt4C5QLgAs0CtwKmApcChQJuAlYCQAIpAgsB5gHCAakBngGXAYsBegFrAWYBagFuAWoBYAFWAU4BRQE0ARgA9gDXAL0ApwCSAHsAYgBJADIAHwAP////6v/O/67/j/92/2H/Sv8v/xL++P7f/sb+qf6J/mz+Uv46/h79/v3f/cP9q/2V/Xz9Yf1F/Sz9Fv0E/Pj88Pzr/OX83vzW/M/8y/zF/Lr8qfyT/Hv8ZPxP/D78Mfwo/B/8F/wN/AL79Pvk+9T7yfvF+8b7xvvA+7T7p/uf+5v7mfuX+5L7jPuI+4P7f/t7+3j7dvtz+2/7avtj+137VvtR+037SftE+zz7Mfsp+yX7J/sq+y37Lvsw+zT7OPs6+zr7O/s++0H7Q/tB+zv7N/s0+zL7L/sr+yb7I/sh+yD7Hvsf+yP7Kfsv+zP7Nvs9+0b7UPtT+0/7R/s/+zv7Ofs1+y37IvsX+xD7DPsJ+wj7B/sG+wL6+/r0+u/68fr3+wD7BvsI+wj7B/sH+wj7C/sM+wz7DfsS+xz7Kfs0+zv7QftK+1b7Yvtp+237cvt8+4v7mfuj+6r7sfu9+8z72Pvh++b77fv3/AD8BfwG/Af8CvwQ/Bb8Gvwa/Bn8Gvwe/CL8JPwn/Cv8Mvw7/EL8SPxM/FH8Wvxm/HL8fvyL/Jj8pvyy/Lz8xfzO/Nn84vzq/PL8/f0L/Rr9Jv0v/Tb9Pf1H/VT9ZP13/Yv9n/2z/cj93/32/g3+H/4u/jv+Sf5a/mv+e/6J/pj+qP66/sr+1/7i/u3++f8F/xH/G/8i/yj/L/84/0H/Sf9O/1D/Uv9W/13/Zv9y/3//i/+V/6D/q/+3/8T/z//Y/+L/8QAFABkAKgA1AD4ASQBZAHAAiwCpAMcA4wD7AREBKAFFAWcBigGrAckB5QIBAhsCMwJKAmUCgwKkAsEC3gL/AycDUwN4A5UDrQPIA+kECAQfBC0EOAQ6BCcD9AOtA3oDiQPvBKEFcQYwBroHBQcfBysHUAeoCCsIuAkoCW0JjgmaCZEJaAkeCMEIaQgjB+gHrwd3B0wHMwciBwoG5Qa8BpsGgAZdBisF8wXKBbkFuQW4BbAFpQWiBakFtAW9BcIFwwW/BbUFowWKBW0FTAUrBREFAwUCBQcFDAUUBSYFRQVnBXwFfgVzBWgFXgVIBRsE2gSZBGYEQQQYA9wDiQMqAsoCaQIGAaEBQgD3AMUAqACRAHMASAAT/+D/tf+U/3f/Wf83/xf+/P7l/tL+vv6r/pj+hP5v/ln+SP4+/jj+L/4g/g79/f3w/eT91f3A/av9mP2I/Xn9a/1g/Vn9VP1O/Ub9Pf03/TX9Nf04/T79Sf1W/WP9bf1z/Xj9ev15/Xf9df15/Yb9mv2x/cr94/39/hn+N/5X/nX+kP6o/sH+4P8I/zb/Z/+X/8f/9gAkAE4AdQCbAMUA8AEbAUMBawGaAdICDgJEAnICnALIAvgDJwNPA3ADkAOzA9sEBgQuBFUEeQSdBMEE5wUQBTsFZQWLBasFywXrBg0GLQZKBmYGhQanBsoG6QcGByAHPAdXB3EHiAefB7YHzgfiB/EH/QgLCCAIOghTCGgIeQiJCJwIsAjBCMsIzgjOCM8IzwjPCMsIxQjBCMAIwwjGCMUIvgi0CKwIqwiuCK4IpAiQCH0IdAh4CIEIgwh4CGYIVwhRCE8ISgg/CDMIKwgmCB4IDQf1B9wHyAe7B7MHqgedB4cHawdNBzUHKAcgBxUG/gbaBrQGlQaCBnoGeAZ3BnQGbQZlBmIGaAZ0BoYGigaRBqAGuAbSBucG9wcGBxkHMAdHB1oHagd6B4oHlQebB6EHrgfDB9oH6wf1B/4IDggkCDsITQheCHIIigihCLQIwwjUCOkI/QkOCR8JOAlaCX0JlAmhCbEJ0Qn4ChAKDAn9CgcKQgqfCu4LBgrlCq4KiAqACogKjwqTCpkKqAq3CrwKswqlCpkKkQqLCocKjgqoCtMLBAstC0kLWgtlC2sLagtkC2ILawt+C5QLoQuhC5YLiQt+C3kLfQuNC6sL1wwJDDwMbAyYDLsM0wzcDNkM0AzHDMEMuQyqDJUMgwx9DIYMlwylDKUMmAyEDHQMawxoDGcMaAxuDHcMgAyBDHkMbwxwDH8MkwybDI4MeAxrDG8MeQx5DGgMUQxIDFIMYgxrDGkMaAxyDIMMkwydDKoMxgzyDSQNUg1+Da4N5Q4ZDkEOWg5vDokOpw7CDtgO7Q8LDy8PTw9lD3IPgQ+XD6wPuQ+/D8UP0A/bD98P3w/vEBgQUhB+EIYQbxBUEEoQUBBUEEUQKBAMD/YP3w+/D5wPiA+KD5EPfw9BDucOkQ5cDkgOPw4rDgYN2g2xDY0NaQ0/DREM4QyzDIgMXQwyDAcL2guvC4kLawtSCzwLIgsGCugKzAq0Cp4Kiwp5CmgKVgpCCi8KIAoWCg4KBgn+CfcJ8gntCecJ4QneCeEJ5QnnCeMJ3QnWCdAJxwm5CakJmgmOCYQJeAlnCVMJPAklCQ0I8wjZCL0IoQiECGYISQgsCAoH4we7B5YHdwdbB0AHIQcABt8GwAagBoEGZgZRBkIGNAYlBhQGCQYGBgcGAgXvBdMFuwW1BcUF3QXpBdsFsgV3BTME7QSoBGsEOwQZA/0D3gO1A4MDUQMmAwIC4QK+ApkCcwJMAiQB/AHVAbABiwFlAT4BGADzAM4ApwB9AFAAI//2/8f/mP9r/0H/F/7p/rf+hf5Z/jb+Ff3v/cH9kP1f/TL9Bvzb/K/8hfxa/Cv79vvB+5D7Zvs9+xL64fqs+nn6Sfod+fH5w/mS+WH5MvkE+Nn4r/iF+Fj4KPf498j3m/dw90f3IPb59tL2q/aE9l32NvYP9ef1vfWR9Wb1P/Ud9QL06vTT9Lj0mfR49Fb0NvQX8/nz2/PA86rzmPOH83TzXfND8yrzGPML8wPy/PL08ury4PLW8s7yxfK48qXyj/J68m3yZfJe8lLyQPIs8h/yGvIb8h3yGvIT8gnyAfIA8gbyEvIf8ifyJ/Ih8hryFPIR8g3yCvIJ8g7yF/If8iXyK/I18kfyW/Jp8m3ybvJ08oLylPKi8qvysfK98tDy5fL28wTzEvMh8zHzQPNL81jzafN/85TzpfO088Tz2vPw9AP0EfQg9Dj0WPR49JD0ofSy9Mr06fUH9R71K/U39Uj1X/V79Zn1ufXc9gP2K/ZV9nz2ofa/9tj27fcE9yL3Rvdu95f3v/fo+BL4Pfhm+I74ufjp+R75VfmM+cD58fod+kT6aPqP+rv67vsr+3X7z/w6/K39IP2I/eL+Mv5+/sn/Ff9d/5j/wf/X/+T/9wAcAFIAjwDHAPIBEAEiASgBHgEKAPkA+wEUATgBSwE6AQEAtgB0AE4APwA2ACUADwAGABkASACCALQA2QD1ARMBNAFSAWoBfwGZAboB3gH6AgsCEwIYAh8CKwI7Ak8CZwJ+ApECnwKrArcCwwLLAs8C0wLcAusC/QMNAxsDJwM3A0wDYwN/A54DvwPeA/YECwQnBFEEhgS+BO8FHAVSBZgF5AYkBkkGUwZSBlYGagaSBs0HGgd0B88IHwhcCIoIsQjUCPMJCgkUCRIJCgkBCPkI8gjqCN4IzwjECMcI4AkNCUQJeQmgCbQJtQmuCa0Jwwn0CjYKcgqTCpEKbQotCdMJYgjlCHMIJggNCCEISwhqCGgIQggMB+kH8ggpCHQIsgjPCM4IwQiyCJ8IgwheCDgIFwf4B9AHmgdfBysHAwbiBrsGiQZMBgwFzAWPBVYFJgT/BN8EwgSmBJEEiASIBIkEfgRiBDoEDwPqA80DswOVA3ADTQNAA14DqgQJBE0ETgQFA44DGQLJAqMClQKPAocCgAJ8AnMCYQJIAi8CHAIMAfYB1gGxAZMBgwF7AXEBYwFTAUkBRQFEAT4BNgEwASwBKAEbAQQA5gDIAK8AmgCHAHMAXwBKADcAJwAYAAn/9v/b/7r/mv9//2j/U/88/yL/B/7p/sr+qf6I/mv+UP40/hX98v3R/bX9nv2J/XH9V/08/ST9D/z9/O/85fzd/NX8y/zC/Lr8tPyu/KX8mvyK/Hf8ZPxR/D/8Lvwg/BP8CfwB+/j77fvf+9H7yPvE+8T7wPu3+6r7nvuX+5P7jvuH+4D7e/t4+3b7cvtt+2j7Y/te+1n7VPtO+0n7RftC+0H7QPs9+zf7L/sp+yX7Jfsl+yL7Hfsa+xv7H/sk+yj7LPsw+zL7Mvsw+y37Lfsu+y/7Lvsq+yf7JPsj+yP7I/sl+yn7Lfsw+zD7Mvs5+0P7S/tO+0r7Q/tA+0D7QPs7+zL7J/sg+x37G/sX+xL7DfsI+wP6+/rx+ur66vrw+vv7A/sH+wX7Afr/+wH7BvsK+w37EfsY+yP7Lfs1+zv7QPtI+1P7XPti+2b7bPt3+4T7kfuZ+6D7qvu4+8f70/vb++H76Pvw+/j7/Pv9+/78AvwI/A78EvwU/BP8FPwX/Bz8Ifwn/Cz8M/w6/D/8RPxJ/FD8W/xm/HL8fvyL/Jr8q/y7/Mj80/zd/OX87Pzy/Pj9AP0K/RX9H/0n/S/9Of1G/Vb9Zf11/YX9lf2n/bz91P3u/gf+HP4s/jr+Sf5b/mz+ev6I/pb+pv64/sn+1/7k/u/++/8G/xD/Gv8l/zD/O/9D/0n/T/9U/1v/Yf9n/2z/dP99/4j/lP+g/6z/uP/D/8z/1P/d/+v//gAUACcANAA6AD4ARQBTAGkAhgCnAMcA5AD9ARUBMQFRAXMBlAGxAc4B7QINAioCRAJbAnQCkAKuAssC6QMLAzIDWwN+A5kDsgPNA+oEBQQYBCUELgQsBBUD5QOsA44DqwQNBKEFRQXaBk8GoAbTBvsHMwePCBAInAkUCWUJjgmXCYIJTgj/CKgIWggbB+IHpwdtB0EHJwcVBvwG1wawBpEGeAZWBiUF6wW9BaUFnwWcBZQFiQWDBYMFhgWIBYwFkgWYBZgFjgV7BWIFRQUnBQoE8QTeBNIEzwTXBO4FDgUrBTwFPwU8BTwFOwUqBQMEzASTBGQEOQQGA8EDbwMYAsACYgH6AY0BKQDeALAAlAB7AFkAK//5/8z/qP+K/23/Tf8s/w7+9P7f/sv+uP6l/pH+e/5j/k3+Pv42/i/+JP4U/gT99/3t/eH9zv25/aX9lP2G/XX9Zf1Z/VL9TP1E/Tn9MP0t/S/9Mv0z/TX9O/1J/Vn9aP1y/Xn9fv2A/X/9f/2E/ZD9pP28/dT97f4J/if+Rf5i/nv+k/6r/sf+5/8M/zT/Xv+L/7v/7AAaAEYAcACbAMkA9wEjAUsBcwGgAdYCDwJGAncCpQLTAwADKwNQA3IDlAO6A+MEDQQ1BFoEfQSfBMIE5wUOBTcFXwWFBakFzAXxBhUGNwZWBnQGlAa2BtcG9QcQBywHRwdhB3gHiwefB7UHzQfjB/QIAQgRCCcIQQhaCG0IfAiMCKEIuwjUCOYI8Aj1CPcI9gjzCOsI4QjaCNcI2AjYCNQIzAjFCMIIxAjHCMUIuQimCJYIkAiXCKEIowiZCIUIcghoCGUIZwhoCGUIXAhLCDAIDwfvB9gHyge9B64HmweJB3oHbgdiB1UHSQc8BywHEgbxBs4GsQagBpcGkgaMBoMGegZ1BnUGewaBBpAGkwadBrAGxwbbBusG+AcKByIHPgdWB2YHcwd/B40HmAegB6YHrwe9B84H3AfoB/QIAwgWCCcIOAhNCGcIhQieCLAIvwjVCPEJDQkiCTYJUQl1CZkJrgm3CcMJ4goJCiEKGAoBCggKTAq7Cx0LOwsLCrQKbgpXCmkKiwqoCroKxArGCr8KsAqjCp0KogquCsEK2gr7CyILRQtdC2kLbAtrC2gLZgtnC3ILhQuaC6cLqAuiC5sLmAuZC5oLnwuwC9EMAww8DHUMqAzTDPYNDQ0WDRINCAz9DPIM4wzPDLgMqAylDLAMvgzEDLsMqAyRDH4McgxrDGgMbAx4DIoMmAyaDJAMhgyJDJoMrQyyDKQMkAyGDIwMlQySDIAMbwxuDH8MkgyaDJgMmAykDLcMxgzQDN4M+w0nDVcNhQ2xDeIOGA5KDm8Oig6mDsgO6g8DDxMPJA9CD2gPiA+bD6UPsw/JD+AP7Q/wD/MP/hALEBMQFxAoEE8QghClEKYQixBuEGIQYhBaEEAQHA//D+sP1w+6D5sPiw+PD5QPfw9DDvEOqw6CDnEOYw5KDiUN/g3YDbINhQ1SDR4M7wzDDJkMbwxHDCAL+gvWC7YLmguCC2kLSwspCwkK7grZCskKuAqmCpAKeQpiCk8KQgo5CjEKJwodChUKDwoKCgQJ/gn+CgIKCAoICgIJ+AnvCegJ3wnRCb8JsAmlCZ8JlgmJCXYJXwlICTEJGgkBCOUIxwimCIYIZwhJCCkIBAfeB7sHnQeDB2cHSQcoBwcG6AbLBq8GlQZ/Bm0GXgZQBkMGOwY3BjIGJAYLBe8F2wXbBewGAwYMBf0F0wWVBU8FCgTNBJ0EeQRbBDoEEgPiA7IDhgNhAz8DGwL0As4CpwKAAlkCMQINAesByQGmAX8BVwEyAQ4A6AC/AJIAYgAzAAP/1P+n/3z/Uf8k/vf+y/6k/n7+WP4t/f790P2k/Xr9T/0k/Pj8zfyg/G78OfwE+9b7rfuF+1f7I/rt+rn6ifpc+i/6APnP+Z75b/lC+Rn48PjF+JX4Y/gx+AH31fer94D3Vvct9wb24Pa59pH2avZE9h319PXK9aD1efVY9Tz1I/UK9O30zfSq9Ij0Z/RK9C30EPPz89nzxfO086PzjfNy81fzQvM08yrzH/MR8wHy8vLo8uDy2vLQ8sPysvKh8pLyhfJ58mvyXfJP8kXyQPI/8j7yO/I28jDyLPIr8i7yM/I48jryOfI28jPyMvIx8i/yK/Iq8i3yNfJA8kvyVvJi8m/yfPKD8obyiPKP8pzyrPK38r7yw/LO8uLy+fMN8xzzKPMy8z/zTPNa82rzffOS86Xzt/PH89vz8/QL9B30KvQ49Ev0ZvSC9Jj0qPS49ND07fUI9Rz1KfU09Ub1X/V89Zn1uPXc9gT2L/ZY9n32nva59tH25vb79xb3N/de94j3svff+A34Pvhu+Jv4xfjv+R75UvmJ+bz55/oI+iT6Qfpl+o76uvrn+xj7Vfuk/AL8aPzN/S79jf3t/k3+qf73/zP/Xf97/5n/vf/sAB8AUAB5AJoAswDDAMcAvwCvAKMAqADDAOwBDQESAO4ApwBPAAD/yv+u/6f/rv/B/+EACgA5AGcAkAC2ANkA9gEMASEBOQFbAYEBogG3AcEBxwHPAd0B7gH/AhICJwI9AlECYwJ0AoQCjgKPAosCigKTAqUCugLJAtIC3ALsAwIDHAM4A1gDegOZA68DwgPdBAwETQSOBMME6wUWBVUFogXpBhMGHAYQBgcGEQY2BnMGxAcgB3sHyQgHCDgIZAiMCK0IwQjECLsIrgijCJ0ImgiXCJIIjgiPCJ4IvAjmCQ8JMAlACUAJNAkjCRoJJQlNCYwJzwoACgsJ6QmYCSAIkwgOB7UHnAfECA4IUghuCFYIHQfkB84H6QgrCHMIpQi1CK4IoAiQCHgIVAgmB/sH2Qe7B5QHXAcdBuUGuwabBngGSwYTBdQFkgVPBRME5ATCBKcEjQRwBFkETQRLBEYENAQQA+EDswOOA3UDZgNZA0YDKAMJAv4DHQNnA8AD+wP2A60DQALXAowCYQJOAkcCRwJJAkQCNAIaAgEB8QHnAdsBxAGkAYQBbQFeAVIBRAE3AS0BJgEfARUBCwEGAQYBBgD/AO4A1QC4AJ4AhwByAGEAUQBCADMAJAAUAAX/8v/a/77/of+F/23/WP9B/yn/Dv7w/tD+r/6P/nH+VP40/hD96f3G/an9kf17/WP9Sf0w/Rr9B/z4/Or83vzS/Mf8uvyu/KP8mPyQ/In8gfx4/G38XvxN/Dv8J/wV/AT7+Pvv++n74fvX+8z7xPvA+737tvur+577lfuP+4z7hvt9+3T7b/tu+237avtk+137VvtR+0v7Rfs/+zv7Ofs3+zf7N/s2+zT7MPsr+yj7JPsg+xr7EvsN+wz7DvsS+xb7Gfsd+yD7Ivsk+yf7K/sw+zP7Mvsw+y37LPsr+yr7Kvss+zD7NPs0+zH7MPsz+zr7QPtB+z/7O/s7+z77P/s8+zX7MPst+yz7Kvsj+xr7EfsK+wP6+vrx+uv66fru+vX6+vr7+vn69/r2+vr7AfsJ+xD7Fvse+yf7MPs3+z37RPtN+1X7XPth+2b7bft4+4P7jfuU+5z7p/uz+8D7yvvS+9r74/vs+/P79vv4+/n7/PwB/Af8C/wN/A38DfwP/BX8Hfwm/C/8Nvw7/D/8RPxK/FL8Xfxq/Hb8gfyO/J38r/zB/NL84Pzq/PL8+Pz8/QH9B/0N/RT9Gv0h/Sv9Of1K/Vv9av13/YL9j/2e/bH9yv3m/gL+Gv4u/j/+UP5h/nD+ff6J/pf+p/64/sj+1/7l/vP+//8J/xL/G/8o/zj/Rf9M/07/Uf9X/2H/bf92/33/hP+L/5T/nv+q/7b/w//N/9T/2v/j//MABwAcACsAMwA3ADoAQgBRAGcAhQClAMYA5AD/ARwBPAFeAX8BmwG2AdIB8gIVAjUCUAJpAoICngK8AtkC9wMZAz4DYgODA54DuQPVA/EEBwQWBCIEKQQkBAsD3gOyA6YDzgQnBJsFEwWGBe8GTwahBucHLgeJCAAIhgkACVgJhAmHCWYJKAjaCI4IUAggB/EHvAeEB1YHOAciBwcG4ga8BpsGgAZfBjIF/gXRBbMFoQWSBYIFdAVsBWoFaAVmBWUFbAV2BX8FfwV2BWYFUwU+BSUFCATpBM8EwATDBNcE8QUIBRUFGQUcBSEFIAUQBO0EvQSNBGEEMQP2A6sDVwL/AqICOwHLAVwBAQDCAJ4AhQBqAEUAGv/u/8f/pf+F/2T/Q/8k/wn+8v7d/sj+s/6e/or+df5f/kz+Pf4y/if+GP4H/fn97/3m/dn9xv2y/aP9lv2J/Xb9Yv1T/Ur9RP06/S79Jf0k/Sr9L/0w/S79Mv09/U39XP1o/XL9e/2C/Yj9jP2U/aL9tv3M/eP9/P4a/jv+Wf5x/oX+mP6x/s/+8f8S/zT/Wf+C/7D/3wAMADgAZACTAMYA9wElAU0BdQGhAdUCDwJKAoECtALiAwsDMQNWA3oDnwPGA+4EFQQ7BGEEhgSqBM4E8gUYBT8FZgWMBbEF1gX7Bh8GQQZiBoIGpAbEBuIG/QcXBzEHSwdiB3UHhwebB7QHzwfoB/wIDgghCDoIVAhrCH0IjAidCLMIzgjoCP4JDQkWCRoJGQkSCQUI+QjxCO8I7gjsCOcI4QjdCN0I3gjcCNUIygi+CLQIsAivCLEIsQisCKEIkwiHCIEIhAiNCJEIhwhqCD8IFQf5B+wH5wfZB74Hmwd+B3AHbgdtB2cHWAdCByoHEAb0BtoGxQa2Bq0GpwaiBpwGlwaUBpQGkwaSBpgGnAaoBroGzAbbBucG9QcLBykHRwdgB24Hdgd/B4wHmwenB7AHtwe/B8gH0AfaB+cH+AgJCBgIKQg/CF4IfgiZCKsIvQjYCPsJHgk6CVAJagmMCa0JwQnKCdUJ8goZCjMKLgoXChYKRwqhCvELBQrUCoIKRQo6ClsKiwqwCsQKyQrHCr8KtgqzCrsK0QrvCw8LLAtFC1cLYgtnC2kLagtqC2oLbAtyC4ALkgufC6ILngubC6ALqwu1C7oLvwvQC/YMLwxwDK4M4Q0KDSsNQQ1LDUkNPw0xDSINEAz8DOcM1wzRDNIM1QzUDMsMvAypDJQMgAxvDGgMcgyNDK8MxwzNDMIMtgy2DMMM0gzSDMMMsAyoDKwMsQyqDJoMjwyVDKoMvQzEDMMMxQzSDOUM9w0FDRkNOg1mDZMNvA3lDhMORQ5yDpUOsg7UDvwPHw81D0MPVQ92D50Pug/FD8oP2Q/2EBMQIxAlECcQMxBFEFIQWhBnEIYQrhDGEL4QnRB5EGUQWRBIECkQBw/vD+IP0w+6D50PjQ+MD4sPcw8+Dv0OyQ6tDp4Oiw5tDkcOIg39DdENnQ1mDTINBgzfDLkMkgxtDEsMKgwJC+cLyQutC5ILdQtVCzcLHgsLCvoK5wrQCrYKmwqCCnAKZApcClQKSgo/CjcKMgotCicKIgoiCiYKKQomChwKDwoFCf4J9QnnCdUJxgm9CbgJsgmmCZYJggluCVkJQwkqCQwI6wjJCKcIhwhpCEkIJwgDB+EHxAepB48HcQdRBzIHFAb5Bt4GxQauBpoGigZ9BnMGbAZlBlgGQgYmBg0GAQYHBhoGKwYuBhoF7gWyBXEFNAUCBNsEugSYBG8EQAQPA+MDvQObA3YDTgMmAwAC3QK5ApICbAJHAicCBgHjAbwBlAFwAU0BKQEAANAAngBtAD4AEP/j/7X/if9e/zb/Ef7u/sj+nv5v/j/+D/3j/bn9j/1l/Tv9D/zh/K38ePxF/Bn78PvF+5X7YPsr+vn6yvqc+m36PfoN+d/5svmG+V35M/kF+NL4nfhr+D74Fffs98L3lvdr90L3Gvbx9sj2oPZ59lP2LPYE9dv1tvWU9Xf1XvVF9Sr1CvTn9ML0oPSD9Gj0TfQv9BHz+PPk89DzuPOb84DzbPNg81jzS/M58yPzEfME8vzy9fLs8uHy1PLE8rPyoPKQ8oLyePJw8mnyYfJZ8lPyUPJO8k3yTvJP8lDyUPJP8k3yS/JL8kzyTfJO8k7yTfJO8lLyWfJj8m7yefKE8o7ylfKa8p3yovKr8rbywfLK8tHy2PLk8vbzCvMf8zDzPfNH81LzXvNt83/zk/Oo87vzzPPc8+70A/QZ9Cv0OvRJ9Fz0dPSM9KD0r/S+9NP07fUG9Rr1KPU29Ur1ZfWE9aP1wvXl9gz2NPZZ9nn2lfaw9sr24/b89xj3O/dj9473uvfm+BX4R/h6+Kn40/j5+SH5Tfl8+ar50fnw+gr6JfpE+mf6i/qw+tf7BPs7+3z7xfwV/HD82P1L/cH+L/6L/tL/DP9A/3T/p//T//UADgAkADwAVABlAGwAaABhAF0AZAB7AKAAzADtAO8AwQBqAAH/p/9z/2f/dv+P/6n/x//sABkASgB4AJwAtADGANsA+gEiAUsBaAF2AXoBfwGLAZ0BrwHAAdAB4AHxAgICFQIqAj4CTAJPAkoCRgJNAl4CcAJ8AoQCjwKkAsAC3QL4AxQDMgNPA2UDeAOYA88EHARnBJ0EvQTbBQ4FVgWhBdMF3wXRBcAFwAXeBhgGaQbEBx0HagepB98IEQg+CGEIdAh3CHAIZQhZCE4IRghDCEQITAhbCHMIkAisCL0IvgiwCJoIgwhvCGMIZgh9CKoI5QkaCTEJFwjFCEcHuwdNByEHRgelCBEIWAhiCDQH8QfBB70H5wgoCGIIggiHCH4IcwhmCE8IKQf5B8oHpQeAB1MHGgbeBqwGhwZpBkUGFQXaBZYFUAULBNAEpQSIBHEEWAQ7BCEEEgQJA/0D4gO6A4wDYQM+AyQDFgMPAwgC9QLVArcCugLvA0kDngPDA6MDUgL0AqcCcwJPAjMCHQIPAgYB+wHrAdcBxQG6AbABoAGKAXEBWQFEATIBIgEVAQwBBQD8APEA5gDgAOAA4gDfANIAvQCiAIcAbgBYAEcAOQAuACIAEwAC/+//3P/I/7L/nP+F/27/WP9B/yj/Df7v/tD+sf6U/nf+WP41/g795v3B/aL9iP1v/Vb9O/0j/Q38/Pzs/N/80vzF/Lf8p/yY/In8fPxx/Gn8Y/xd/Fb8TPw+/C/8HvwM+/r76/vf+9j70vvK+8L7uvu1+6/7qPud+5H7iPuC+337dvtu+2f7ZPtj+2P7YPtb+1T7TvtI+0L7PPs4+zb7NPsy+zH7MPsw+y77K/sn+yL7HfsX+xH7DPsJ+wj7B/sF+wP7A/sG+wr7D/sW+x77J/sv+zT7Nfsz+zL7Mvsy+zD7Lfsu+zL7Nvs3+zX7Mvsy+zX7Ofs7+zn7Nvs2+zf7N/s1+zH7Lvss+yn7JPsc+xT7DfsG+v/69/rv+uv66vrt+vD68vry+vP69Pr3+vv7AfsI+w/7F/sf+yf7Lvs2+z/7SvtU+177Zftr+3L7efuC+4r7kPuX+5/7p/uw+7f7v/vJ+9X74fvr+/D78vv0+/b7+vv9/AD8A/wF/Af8CPwK/A/8Gfwl/C/8Nvw6/D78RPxL/FX8Yfxu/Hv8ifyX/KX8tvzH/Nf85vzx/Pn8/v0B/QX9Cf0P/RP9Gf0h/S39PP1N/Vz9aP1y/X39iP2X/an9wf3e/fz+GP4w/kX+V/5n/nX+gf6M/pr+qv65/sf+1f7k/vb/Bf8S/xr/I/8w/0H/Tv9W/1j/Wv9h/2z/eP+D/4z/lf+d/6X/rf+1/7//yv/U/9v/4v/r//oACwAbACYAKwAvADUAQABRAGgAhACkAMUA5AEDASEBQgFkAYMBoAG7AdgB+AIZAjYCUQJsAogCpwLGAuUDBAMmA0kDawOJA6YDxAPjA/4EEgQgBCoEMQQpBA0D4AO7A7cD4gQxBI4E6gVIBa4GHgaLBusHQgeeCA0Iigj9CVAJdglwCUcJBwi+CHsISQgnCAgH4ge2B4sHZgdHBycHAwbeBrwGngZ8BlMGJgX8BdkFuwWfBYYFcwVqBWcFZAVcBVQFUQVWBV4FZAVlBWIFXgVXBUsFNgUZBPkE4gTZBOEE8QUCBQ0FEwUYBRoFEwT+BNwEtASMBGEELAPnA5UDOwLbAnIB/wGJASIA1gCoAIwAdABYADYAEf/t/8r/pv+A/1z/O/8g/wn+9P7e/sf+sP6a/ob+c/5g/k7+Pv4v/iD+D/3+/fH95/3b/cv9t/2l/Zr9kf2F/XH9XP1M/UT9P/01/Sn9H/0e/SX9K/0t/S39Mf07/Un9Vf1g/Wv9d/2E/Y/9mP2k/bT9yf3f/fX+Dv4s/k3+av6A/pD+o/68/tv++/8Z/zX/Vv99/6r/2AAEAC8AXACNAMAA8QEfAUkBcQGdAdACCgJHAoICtwLlAwwDMwNbA4QDrQPUA/kEHgRGBG4ElgS9BOIFBwUuBVUFfQWjBcgF6wYMBiwGSgZpBooGqwbKBuYHAAcaBzQHTAdiB3UHigejB8EH3wf6CBEIJgg9CFcIcAiGCJgIpwi4CM0I5Aj6CQ4JHgkqCS8JLgklCRcJCwkFCQUJBwkFCQII/wj/CQAI/Qj1COoI4QjcCNgI0AjDCLgIsgizCLIIqgicCJMIlQigCKgInQh9CFMINQgvCDwIRQg4CA0H0geeB38HcwdwB2oHWwdGBy8HGQcFBvEG3wbRBscGwQa+BrwGuAayBqoGogabBqQGqga1BsIG0QbeBuwG/AcRBywHRwdeB2wHdgd/B4sHmAekB68Htwe/B8QHyQfQB9wH7wgCCBQIJQg7CFgIeAiVCKwIxAjkCQ0JNQlTCWkJgAmdCbsJzwnZCeQJ/AoiCkIKSwpCCjwKTwp3CpcKlAprCjsKJAo0Cl4KiQqmCrQKuwrCCsoK0grfCvQLEgszC1ALZAtrC2oLYwteC18LZgtuC3QLdgt5C4ALiwuUC5gLmgugC60LvQvIC8wL0wvrDBkMWwyiDOENEQ03DVUNbA15DXkNbg1cDUkNNg0lDRQNBAz3DOwM5QzhDN4M2QzLDLMMlQx8DHYMiwy2DOYNCQ0RDQUM9QzuDPIM9gzvDN0MzAzGDMoMzAzFDLgMswy9DNIM5QzsDO0M8w0CDRcNKg09DVcNfA2nDdAN9A4aDkYOdA6eDr4O3g8DDywPTw9lD3UPjg+1D9sP7w/wD+4P/xAkEEkQXBBeEF8QbhCFEJQQlhCWEKEQthDDELYQlBBuEFMQQRAsEBAP9Q/kD9wP0Q+8D6QPlQ+QD4cPaw88DwsO6Q7XDskOsg6ODmgOQg4bDewNtQ1+DVANKw0KDOYMwwyhDIMMZAxCDB0L+gvbC8ALpAuHC2sLUws/CysLFQr6Ct0KwQqoCpYKiQqACncKbQpjClwKVwpTCk8KSwpICkgKRQo9CjAKIwoYChAKBwn5CeoJ3gnXCdMJzQnDCbUJpgmWCYMJbAlQCTEJEAjwCM8IsAiSCHQIVAgyCBAH8AfTB7cHmwd9B18HQwcoBwwG8gbaBsUGtgaqBqEGmAaMBnkGYAZFBjMGMAY6BksGVQZOBjIGBgXPBZcFZAU5BRQE8ATIBJwEbQRCBBsD+APTA6oDfwNXAzQDFQLzAs8CqQKEAmMCQQIcAfUBzwGtAYwBZwE6AQcA0wCiAHYASwAg//T/yP+f/3n/Vv80/w/+5f61/oP+Uf4i/fX9yv2h/Xj9TP0c/Oj8tPyE/Ff8LPv9+8z7mfto+zn7Cvrb+qv6fPpP+iP59vnL+aD5dflF+RH42/ip+H74WPgx+Ab32fes94H3V/ct9wT22/a09o32ZfY89hT17/XO9bH1l/WA9Wf1SvUn9QD02/S99KP0ifRs9E30MPQY9ALz5/PI86zzmfOP84jze/Nm803zOPMq8x/zFfMJ8v3y7/Lg8s/yu/Kq8p7ymPKS8ovygPJ18mzyZvJl8mbyafJs8m7ybPJp8mXyY/Jl8mjya/Js8mzybvJy8nfye/KA8ofykfKb8qTyqvKv8rbyv/LJ8tLy2fLf8ufy8fL98wvzGvMq8zrzSvNY82TzcfOB85PzqPO+89Hz4fPv8/z0DPQe9DH0RPRY9G30hfSb9K30u/TJ9Nr08fUI9Rz1LPU99VX1dPWV9bb11PXy9hL2MvZR9m72ivan9sb25PcD9yT3Svd296T30ff9+Cn4WPiH+LP42vj9+R/5Q/lq+ZL5ufnc+fv6FPop+j36Vvp3+qD6zfr6+yT7UfuK+9b8OPyt/Sr9pP4T/nX+zf8g/2j/oP+//8n/y//R/+P/+gAOABoAIQAqADUAQABPAGcAjgC8ANYAwABwAAD/l/9Y/0f/VP9m/3b/iP+o/9cADAA6AFsAcgCGAKEAxQDuARIBKQEyATUBOwFJAVsBbQF8AYoBmAGnAbUBxQHZAe8CAgILAgoCCQIOAhsCKQIzAjsCSgJjAoMCoQK7AtUC8QMOAyYDPANeA5cD4wQuBGIEfgSVBL4E/wVHBXoFiwWABXEFcgWRBcwGHAZ1BssHFQdSB4gHuAfjCAMIGAghCCQIIQgYCAsH/wf6B/8IDQgjCDsIUwhjCGAIRwgbB+oHwAehB4wHfQd4B4QHpAfPB/EH8wfHB3YHHAbjBukHMwejCAkIPQgyB/wHwgenB7cH5ggcCEIIUAhMCEMIPAgyCBsH9gfHB5kHbwdDBxIG2waoBoAGYAZABhMF2AWTBUoFAwTBBIsEZARKBDQEGwP+A+UD1APGA7EDkANlAz0DGwL/AuUC0QLEAr0CswKfAocCgAKdAtkDGQM7AzMDDwLoAskCqgJ7AjoB9gHFAbABsAG0Aa8BogGQAYABcAFhAVEBPgEpARMA/QDrAOAA2QDTAMoAwQC7ALkAugC3AKwAmgCDAGoAUwA+AC0AIAAVAAr//f/q/9X/wP+s/5r/iv95/2f/U/88/yP/CP7q/sz+rv6S/nb+V/41/g795/3D/aP9hv1r/U79Mv0X/P786vza/Mz8wPyy/KP8kvyB/HH8YvxW/E38Rvw//Df8Lvwl/B38FfwJ+/n76PvZ+837xfu9+7T7rPum+6D7mvuR+4b7e/ty+2r7Yvta+1X7U/tU+1T7UvtP+0r7RftA+zv7Nvsz+zH7MPsu+yz7KPsl+yL7HvsZ+xT7EPsL+wj7B/sH+wb7Avr8+vb69Pr1+vr7AfsJ+xL7Hfsn+y37MPsw+zH7Mvsz+zH7Lvsu+zL7N/s6+zn7N/s2+zj7O/s9+zz7Ofs2+zX7M/sx+y77K/sm+x/7FvsP+wr7B/sD+vz69Prt+uv67Pru+u/68fr0+vr6//sD+wT7BvsK+xD7GPsh+yn7MPs4+0H7TPtX+2L7a/t0+337hvuM+5L7l/ud+6X7rPux+7X7vPvH+9b74/vq++z77fvw+/X7+fv6+/r7/Pv//AP8BvwK/A/8Gfwk/Cz8Mvw1/Dr8QfxL/Fb8Yvxv/H78jvyf/K78vPzJ/Nf85Pzu/Pb8+vz9/QH9Bf0L/RL9Gf0j/S79O/1I/VT9X/1r/Xj9h/2X/aj9vv3Z/ff+Ff4w/kj+XP5t/nv+iP6V/qT+tP7C/s7+2v7p/vv/Dv8d/yj/Mf89/0v/WP9h/2f/bP9z/3v/g/+L/5P/nf+o/7D/tv+7/8L/zP/W/9//5//x//4ADAAXAB8AJQArADQAQQBTAGsAiACoAMoA6wEJAScBRQFkAYMBogHCAeICAAIbAjUCUAJtAo0CrQLMAusDCwMvA1IDcgOPA6wDzgPwBA0EIgQwBDsEQQQ3BBYD5gO+A7sD5QQxBIgE3gU3BZ4GEwaLBvoHXQfACC4IogkHCUsJYwlWCS4I9Qi4CH8IVgg9CC0IGQf6B9IHpQd7B1QHLwcNBusGxwagBnQGSAYdBfcF0wWzBZcFhAV6BXUFbQVfBUsFOgUyBTQFPgVKBVQFWwVgBWEFWwVLBTMFGAUFBP8FAwUNBRYFHQUgBRsFCwTwBNAErgSMBF8EIAPPA3IDDwKmAjUBvwFOAPQAtwCTAHgAXgBBACUACv/t/8r/ov95/1X/OP8g/wz+9/7g/sj+sP6b/of+dP5g/k3+O/4q/hr+Cv37/e794f3Q/bz9p/2W/Yz9hP14/Wb9Uv1F/T79Ov0y/Sb9HP0Z/R39I/0m/Sn9Mf09/Ur9VP1e/Wn9ef2J/Zf9o/2x/cT92/3y/gj+H/48/lv+d/6N/p/+s/7N/uv/CP8i/zz/Wv9//6j/0//+ACoAWACKALsA6wEZAUYBcQGeAc8CBgJBAnwCsALdAwUDLwNcA4kDtAPZA/0EIgRLBHcEoQTIBO8FFgVABWoFkwW5Bd0F/gYbBjUGTgZqBooGqwbLBugHBgckB0AHWQdtB4IHnAe7B90H/AgWCC0IRAhcCHUIiwieCLAIwQjSCOMI9QkHCRkJKAk0CTkJOAkxCScJHwkcCRwJHQkbCRcJFQkWCRcJEgkJCP4I+gj6CPkI7gjaCMgIvwi/CL4ItAiiCJUIlwikCKsInwiBCGUIYAh5CKEIugiuCHkILQfhB6kHhwd0B2kHXQdQB0EHMgchBw4G/AbrBt8G2QbXBtQGzQbCBrQGqAajBrsGvwbFBs0G2gbrBvwHDQccBy0HPwdSB2MHcweAB4oHkgeYB58HqQe2B78HxgfMB9YH6Af+CBMIJgg7CFUIdgiXCLYI1wj8CSYJTQlrCYAJlQmvCcsJ4AnrCfMKBQomCkoKZApsCmkKYwpbCk0KOAomCiQKPApkCooKoAqoCqwKuArOCucK/wsXCy8LSQthC3ELdwt1C2sLYQtbC18Lawt4C38Lfgt5C3kLfwuLC5cLoQurC7cLwgvNC9gL6gwODEYMigzPDQoNNw1aDXcNjQ2bDZsNjg15DWINUA1DDTgNKw0YDQUM9wzxDPMM9AzpDM8MrwyWDJYMtAzoDR0NQQ1KDT0NKw0eDRgNEg0FDPIM4wzeDOEM4wzdDNUM1QziDPkNDA0ZDSENLg1ADVUNaA18DZcNvA3lDgwOLw5VDoEOrg7UDvQPFA86D2MPhQ+dD7QP1Q//ECIQLxAoECQQOBBfEIQQlBCSEJEQoRC5EMUQvBCoEJwQnhChEJcQfBBbEEEQLhAbEAUP8g/mD94P0w/CD7EPpw+hD5MPdA9IDyIPCg7+Du8O0g6rDoIOXA4zDgMNzg2dDXcNWQ08DRoM+AzYDLoMmwx3DFAMLAwMC+8L0QuzC5cLgAtsC1gLQAslCwgK7grWCsMKtAqoCp0KkgqICoAKewp5CnYKcwpuCmcKXApOCj4KMAolCh0KEwoHCfwJ9QnyCe8J6QngCdYJzAm/CawJkgl0CVUJNwkbCP8I4gjECKcIiAhmCEMIIAgAB+EHxAepB44HcwdXBzoHHgcFBvEG4wbXBswGvgasBpYGfwZsBmIGZQZwBnsGewZrBksGHwXvBb8FkwVrBUMFGwTxBMYEngR5BFcEMgQIA9wDsQOMA20DUAMwAwwC5gLBAp4CegJUAi4CDAHsAcoBoAFuATcBAwDWAK8AigBkADsAE//r/8b/of97/1T/Kv77/sj+lf5j/jX+C/3i/bj9iv1Y/ST88/zE/Jf8aPw2/AX71vup+3v7SvsY+ub6ufqO+mP6NfoH+dr5rvl++Uz5GPjo+L74l/hv+EP4FPfm97v3kfdo90D3GPbx9sj2nvZ09k32KfYJ9ez10vW59aD1g/Vf9Tf1EfTy9Nj0v/Si9IP0Z/RQ9Dn0HvP+8+DzyvO+87TzpfOO83TzX/NQ80TzOPMo8xjzCfL78uvy2fLK8sDyuvK18q7ypPKa8pHyivKG8oXyhvKK8o3yjPKI8oLygfKE8onyivKJ8ojyivKP8pPylfKX8pzypfKw8rrywPLF8s3y2fLk8uvy7/Lz8vvzB/MT8x7zKPM080PzVPNk83PzgfOR86PzuPPO8+Pz9PQB9A30GfQp9D30U/Rq9IH0lvSq9Lv0yPTW9Ob0+vUP9SP1NfVK9WX1hvWp9cj14vX59hD2KvZG9mT2hPam9sr27/cT9zf3X/eK97j35fgR+Dr4Y/iM+LP42Pj6+Rz5PPle+YH5qPnQ+fP6CvoU+hj6JPpB+m36n/rK+uv7C/s1+3H7w/wm/Jf9Ev2V/hr+mf8H/1r/i/+a/5T/i/+O/5//tf/J/9n/6wAEAB0ALwA4AEUAZACQAKwAlwBH/9X/cP84/y7/Ov9E/0r/WP93/6b/1v/7ABUALQBKAG8AlQC3ANAA3wDoAO8A+QEIARoBKwE8AUwBXAFrAXcBgwGSAaUBuAHFAcoBzAHRAdsB6AH1AgECEwItAksCaAKCAp4CvwLgAvwDEwMuA1sDmQPZBAsEKgRFBG0EpgTiBQ4FHQUYBRMFIAVKBY0F4QY6BowG0AcHBzQHWwd8B5YHqge7B8kH0QfQB8cHvge9B8UH0gfiB/QICAgWCBIH7getB2AHGgbjBrYGigZfBj8GOwZYBosGvgbcBuAG2AbcBwAHRgeYB9gH7QfWB6oHiQeJB6sH3ggKCCAIIggZCA8IBwf5B98HtweIB1sHMAcDBtIGoAZ0BlIGMgYKBdMFjwVFBPwEuAR8BEwEKQQQA/cD3AO+A6UDkgN/A2QDPgMUAvIC2gLIArICmgKFAnsCdwJzAmoCYwJmAnICfAJ7AnYCfAKVArICtwKJAiwBwQFuAUwBUgFqAXoBeQFqAVYBQwEzASQBFQEDAOwA1AC+AK8ApgChAJwAlQCQAI0AjACJAH8AbgBaAEYANAAkABYACP/9//L/5v/X/8T/rv+X/4P/cf9h/1L/Qv8w/xz/A/7n/sr+rP6Q/nT+Vv41/hL97f3K/an9iv1r/Uz9Lf0O/PH81/zD/LX8qvye/I/8ffxq/Fn8TPxB/Dj8L/wl/Br8EPwK/An8CvwG+/z77Pva+8r7vvu0+6r7ofuZ+5T7kPuJ+4D7dPtn+1z7UvtK+0X7Q/tC+0L7QftA+z77O/s3+zP7Lvsq+yj7Jfsj+x/7G/sW+xD7C/sH+wT7A/sC+wH7APsB+wD6/fr4+vP68vr1+vr6/vsB+wf7D/sY+x77Ifsj+yT7J/sq+yz7Lfsv+zX7Ovs++z37Ovs5+zv7PvtB+0H7QPs++zz7Ofs3+zT7MPso+x37EvsM+wr7CfsG+v769fru+uz67vrx+vP69vr8+wT7C/sO+w37DPsP+xX7H/sp+zH7OPs9+0T7TPtV+177aPty+337hvuN+5P7mvui+6v7svu2+7n7wPvM+9r75Pvo++j76fvv+/X7+fv5+/b79/v8/AP8CPwN/BL8G/wk/Cv8L/wy/Df8QvxO/Fv8Zvxx/H78jvyf/K/8vfzI/NP83fzm/O388vz2/Pv9Af0J/RH9Gf0h/Sr9NP0//Uv9WP1o/Xv9jf2e/a/9wv3Z/fX+E/4w/kn+X/5x/oH+kf6h/rL+wv7Q/tv+5v70/wT/Fv8m/zL/Pf9I/1P/Xf9n/3H/ev+B/4b/iP+L/5D/m/+m/7D/tv+6/8D/yf/V/+D/6v/1AAAADAAVAB0AIwArADcARgBaAHMAkgCzANYA9gETAS0BRwFiAYABogHFAeUCAQIZAjMCUAJxApMCsQLMAugDCQMuA1IDcgOOA60D0AP0BBQEKwQ9BEoEUARDBB4D6QO+A7gD5AQ2BJkE/AVfBcUGMgafBwkHcAfcCE4IvAkQCT0JRAkxCRII7gjICKMIhwh3CHIIaghSCCYH7ge2B4UHXQc3Bw4G4AavBnwGSwYdBfUF0wW4BaMFkwWHBXsFbgVZBT4FIwURBREFIAU3BUoFVAVXBVoFXQVcBVIFQAUtBR8FGgUcBSAFIwUhBRYFAwTnBMkEqQSDBEwD/wOeAzMCxwJbAewBfwEdANMAogB/AGEAQwAnABL//v/m/8P/mv9z/1T/PP8n/xD++P7g/sn+s/6d/of+cv5e/kn+Nf4j/hT+Bv35/ev92/3G/bH9nP2M/YH9eP1s/Vz9S/0+/Tb9MP0o/R79F/0U/Rb9GP0a/R/9Kf04/Ub9Uf1b/Wn9fP2P/Z/9rf29/dP96/4C/hb+LP5G/mT+gv6c/rL+yP7h/v3/F/8w/0r/Z/+I/6r/zP/yABwATQB/ALIA4wEUAUQBdAGjAdMCBgI+AngCrALYAwEDKwNYA4UDrQPQA/MEGQRFBHEEmgTCBOoFFgVDBW4FlQW5BdwF/AYZBjEGSgZmBocGqgbOBvEHFgc5B1gHbweCB5cHtAfXB/oIGAgwCEYIXgh2CIwIngivCMAI0wjkCPQJBAkVCScJNglACUMJQgk+CTsJOQk3CTQJLwkoCSAJGgkXCRUJEwkOCQoJCgkNCQ0JBAj2COoI5AjgCNYIwQipCJsInwirCK4InQh/CGwIdQibCMoI5AjaCKsIZggcB9oHpweFB3AHZAdcB1IHRQc0ByIHDwb+BvIG6wboBuMG2QbLBr4Gtga2BtMG0wbSBtYG5Ab4BwwHHAcmBy4HOAdGB1gHbAd+B4oHjgeOB48HmQepB7oHxgfMB9MH4gf3CA0IIwg5CFUIeAigCMgI7gkVCTsJXwl9CZUJrQnICeIJ9woDCgsKGAoxClIKcAqACnwKaApJCisKIAoxCmAKnQrPCuUK4ArRCswK2QrzCw8LKAs9C1ILZAtxC3gLewt6C3ULbgtpC2oLcwt+C4QLgQt7C3cLfguNC50LqAuuC7QLvgvQC+sMEAxADHkMtgzyDScNUg12DZINpg2vDa0NoA2ODXsNbw1nDWENVA0+DSQNDg0EDQINAQz3DOIMyAy5DL8M3g0MDTkNVg1dDVMNQw02DS0NIw0TDQIM9QzxDPEM8QzsDOoM8Q0HDSMNPQ1QDWENdA2LDaANsg3EDdsN/A4jDksOcg6bDsYO7w8SDzAPUA92D54PwQ/cD/cQGRBAEF4QahBpEGwQgxClEL8QwhC4ELQQwxDZEOAQzRCsEJEQhhCFEIAQbhBWED8QLBAcEA0QAQ/4D+8P4g/RD8UPvw+6D6gPhg9cDzoPKA8dDwoO6Q6/DpUObg5HDhsN7Q3GDacNjg1yDVANLg0NDO0MzAymDH8MWww6DBkL9gvVC7kLpQuUC4ELaAtNCzILGQsECvEK4QrSCsUKuAqsCqIKnAqZCpgKlQqNCoEKcQpdCkoKOwoxCigKHwoWCg4KCwoKCgkKBAn9CfcJ8QnmCdMJuAmZCXsJYQlICS4JEgj0CNcIuAiXCHMITggqCAoH7AfSB7kHoQeHB2sHTgc1ByIHEwcGBvYG4QbLBrUGpQabBpkGnQaiBqMGmgaFBmQGOwYRBecFwAWYBW8FRgUcBPYE0wSyBI8EZwQ6BA8D6QPKA64DkANuA0gDIgL+AtkCswKMAmgCSQIqAgQB1AGcAWUBNwERAPEA0ACsAIYAYQA8ABf/8P/G/5v/bf88/wj+1P6j/nf+T/4m/fr9yP2U/WL9NP0H/Nn8qPx1/EX8GPvs+737iPtS+yD69PrL+qD6cfpA+hD54vmz+YP5U/km+P341fiq+Hv4Svgb9/D3yPeh93r3U/cr9wL21/at9oj2Z/ZJ9i32EPX09df1uPWU9W71SfUq9Q/09PTV9Lb0mvSE9G/0VfQ29Bbz/PPr89zzyfOx85jzg/N182jzWvNJ8zjzKPMa8wvy+/Lr8uDy2fLU8s7yx/K/8rjysfKr8qfyp/Kr8q/yrfKn8qHyoPKk8qryq/Ko8qPyo/Kn8qzyrvKw8rXyv/LL8tXy2fLc8uPy7vL68wHzA/MG8w3zGfMm8zHzO/NG81TzZfN184TzkfOg87Lzx/Pd8/P0BvQV9CH0LvQ99FD0Z/R99JH0ovSz9MP00vTh9PD1A/UX9S31Q/Vb9Xf1l/W39dH15fX39gr2JPZE9mf2jPay9tr3A/cq91D3dfea98L36/gU+Dz4YviH+Kv4z/jz+Rf5OPlW+Xb5mvnD+ej5/voD+gD6Bfod+kf6dfqa+rf61Pr7+zD7b/u4/BH8hv0b/cP+Zv7o/zv/Xv9g/1b/U/9f/3X/i/+c/6v/wf/f//0AEQAbACwAUAB8AJEAbgAR/5z/P/8W/xb/Iv8m/yX/Mv9U/4H/pv+9/87/5wAOADoAXwB3AIQAjgCaAKgAuADKAN0A8AEEARUBJQEzAT0BRgFRAWABcQF/AYYBigGQAZsBqwG9AdAB5QH9AhYCLwJLAm0ClAK6AtgC7QL/AxsDRgN5A6gDzwPyBBsESwR5BJcEowSlBK0EyAT9BUoFowX8BksGiwa7BuEG/wcYBywHPwdSB2UHcwd6B3wHfweHB5EHlgeZB6EHtAfKB88HrQdjBwEGoQZQBgcFuwVpBSUFCAUhBW0F1gY/BpcG1gcBByQHRQdiB3IHbwdaB0MHPgdXB4oHxQfyCAYIBgf8B/AH4gfLB6cHdwdFBxgG7wbGBpgGaQY8BhMF6wW9BYQFQwUABL4EgQRLBCAD/wPjA8cDpgODA2QDSwMzAxYC8gLNArECoAKSAoACaQJUAkoCTQJUAlgCUgJBAiUB/wHcAcsB3gISAk8CbgJTAgEBlwE9AQ0BBQEVASkBNQE1ASwBHAEIAPQA4QDPALwApgCSAIEAdwBxAGsAZABeAFoAWgBXAE4APwAsABsADwAG//3/8v/l/9n/zv/D/7T/oP+I/2//V/9D/zP/J/8b/w7+/f7m/sr+rf6R/nX+WP44/hb98/3Q/a39i/1r/Uz9LP0K/Oj8yfyw/J/8lPyJ/Hr8Z/xT/EL8Nfws/CT8G/wR/AX7+vv1+/X7+fv8+/j77Pvc+8v7vPuv+6L7mPuQ+4v7iPuD+3v7cPtj+1f7TftD+zv7Nfsy+zD7MPsv+y77LPsp+yT7IPsb+xf7E/sQ+w77C/sF+v/6+vr3+vj6+vr7+vr6+fr4+vj69/r1+vX6+Pr8+wD7Afr/+v77AfsG+wr7DPsO+w/7FPsZ+x77JPss+zX7PPs/+z37Ovs5+zv7PvtC+0X7R/tI+0j7RvtC+z37Nvss+yH7F/sR+w77DPsH+v/69/ry+vH68vr0+vb6+fr/+wb7C/sO+w77D/sV+x77KPsy+zr7P/tE+0n7TvtT+1r7Yftr+3X7gPuJ+5H7mvuk+677tfu6+777xPvP+9v75Pvn++j76vvw+/b7+Pv3+/X79/v9/AX8C/wP/BT8G/wk/Cz8MPw0/Dz8SPxX/GX8b/x4/IH8jvye/K78vPzI/NL82vzi/On87/z1/Pz9A/0L/RP9GP0d/ST9Lf04/Ub9Vf1m/Xn9jP2e/a/9wf3Y/fT+Ev4w/kr+X/5x/oP+lP6l/rb+xv7U/uL+7/78/wn/F/8m/zX/Q/9O/1f/X/9p/3T/f/+G/4n/if+K/5D/mv+m/7D/t/++/8b/0P/b/+j/8//+AAgAEQAZACAAKAAyAD8AUQBnAIMAoQDAAN8A/AEXATABSAFhAX0BnQG/Ad0B9wIPAisCTAJxApICrgLGAuEDAgMoA0wDbAOKA6oDzgP0BBYEMARFBFQEWARJBCED7APCA70D7ARJBMAFPAWvBhUGcAbEBxoHfQfuCGYIzgkQCSYJGQkBCO8I5wjjCNwI1wjXCNsI1wi8CIUIPAfyB7EHeQdDBwoGzwaWBmMGMwYFBd0FvQWoBZsFkAWBBW8FXAVHBS0FEgUABQIFGQU3BU0FUQVIBT8FPwVHBUwFSQU/BTUFLQUmBR4FFgUPBQYE+ATjBMUEnQRoBB4DvgNOAtoCaQH+AZkBOgDsALIAigBoAEcAJgAO//3/7//Y/7f/kv9z/1z/SP8x/xX++f7g/sr+tf6d/oX+bv5a/kb+M/4g/hD+Av31/eX90v29/an9l/2I/X39cf1k/Vb9R/05/S39Iv0Z/RP9Ef0R/RH9EP0P/RP9Hf0s/Tr9R/1U/Wb9fP2S/aX9t/3L/eL9+f4N/h7+MP5J/mj+iv6o/sP+2/7z/wv/I/88/1j/df+R/6v/xP/iAAkAOgBuAKIA1AEIAT0BcQGhAdECBAI9AncCrQLZAwADJwNQA3gDnAO+A+IECwQ3BGEEiASwBNwFCwU6BWIFgwWiBcMF5gYGBiMGQAZhBocGrwbWBv4HJgdMB2wHggeTB6gHxgfqCAwIKAhACFcIcAiICJsIqwi7CM8I5Qj5CQkJGQkrCT8JTglUCVMJUAlQCVIJVAlRCUkJPwkzCSYJGwkSCQ4JDQkQCRMJFwkYCRUJEQkPCRAJEgkNCPkI2gi/CLMIuQjDCMAIpwiHCHMIdgiMCKMIrAiiCIkIZQg3CAIHzQegB4MHcQdmB1sHTgdABzMHJgcYBwoHAAb4Bu8G5QbYBs8GzQbQBuAG3QbaBt4G6gb8Bw0HGwcmBzAHOgdEB1AHYAd0B4YHkAeRB48HlQejB7YHxAfLB9EH3AfwCAcIIQg8CF0IhgizCN8JBgkpCUsJbQmNCasJxwniCfwKEAogCiwKOwpPCmQKdgp6Cm4KVQo6Ci4KQgp7CswLFwtAC0ELJgsLCwMLDgsiCzMLQAtMC1sLagt1C30LhAuKC4wLiAt/C3cLdgt8C4MLhQuDC4ILiQuWC6ILqAupC64LvwveDAsMPQxwDKEM0g0EDTYNZQ2MDagNuA28DbgNsA2nDaANnA2ZDZINgQ1mDUUNJg0RDQcNAQz6DO4M4QzcDOQM+Q0WDTINRQ1LDUUNOg0wDScNIA0WDQsNAw0ADP8M/gz9DQMNFQ00DVkNeQ2SDacNvQ3WDe4OAQ4SDiYORA5qDpQOvQ7lDwsPLQ9MD2kPig+xD9kP/BAWECwQQxBeEHgQjBCdELIQyxDhEOgQ3RDOEMsQ2BDoEOcQ0BCuEJMQhxCFEIEQdRBjEE4QOhApEB0QFhAREAkP+Q/nD9sP1g/PD7sPlg9sD0wPOw8wDxwO+Q7ODqMOfQ5aDjYOEw31Dd0NxQ2pDYcNZA1CDR8M+gzSDKoMhwxlDEIMHAv7C+ELzwu/C6kLjAttC1ILPAsqCxkLCAr4CugK2grMCsAKuAq1CrQKsAqoCpoKhgpxCl0KTgpECjwKNAosCiYKIwoiCiAKHAoYChUKEQoICfYJ3Am/CaQJjAl0CVkJPAkdCP4I3wi+CJoIdwhUCDQIFQf6B+EHywe1B5wHggdpB1UHQwcyBxwHAwbrBtkG0QbQBtEG0QbNBsMGswacBn4GWgYzBg0F6QXEBZ4FdwVQBSwFCgTnBMEElwRsBEYEKAQNA/ID0gOsA4QDXQM5AxMC7ALGAqMCgwJhAjcCAgHLAZoBdQFZAT4BHQD3AM8AqgCGAGIAOgAO/9//rv96/0X/EP7h/rj+kv5o/jj+A/3P/aD9df1L/Rz86fy3/If8XPwv+/37xvuP+137MvsK+t/6sPp++k36HPns+b35kPln+UD5GPjq+Lj4hfhW+Cz4BPfd97X3jfdk9zv3EPbo9sT2pPaI9mz2T/Yw9hH18PXO9av1ivVs9VD1MfUP9O30z/S29J/0hPRk9EX0K/QX9ATz7vPW877zqvOb847zfvNt81zzTfNA8zHzH/MN8v/y9vLw8ury4/Lc8tTyzfLI8sTyxvLJ8szyyvLD8r3yvfLD8svyzfLJ8sPywfLE8snyzfLP8tTy3vLp8vLy9PL18vnzA/MP8xfzGvMc8yLzLfM780fzUvNf82/zf/OO85vzpvO088Xz2vPw9AX0GfQo9DX0QPRP9GL0d/SL9Jz0q/S69Mr02/Tr9Pv1DPUh9Tn1U/Vu9Yn1pfW/9dT15fX39g/2MPZW9n72o/bI9u73F/dA92X3h/em98b36vgQ+Dj4XfiB+KP4xvjq+Q/5MPlN+Wr5i/mx+dT57Pn0+fT5+voO+i76Tvpm+nr6l/rC+vb7KPtZ+5z8CPyn/Wn+Jv62/wf/Iv8f/xz/KP9C/1//df+C/43/oP+6/9H/4P/tAAoAPQByAIQAU//n/2z/FP70/vr/A/8B/vz/C/8w/1v/d/+C/4v/pf/SAAIAIwAyADcAPwBOAGEAdQCLAKIAuQDNANsA5QDtAPYBAQENARsBKgE3AUABRgFMAVgBawGDAZwBswHJAd8B9wIVAjoCYwKKAqcCugLIAtwC+wMkA1ADeAOeA8QD6QQJBCAELQQ3BEoEbgSpBPgFUgWsBfoGNwZmBooGqQbCBtcG6Qb3BwUHEAccByoHPAdOB1cHUwdLB00HYweBB4wHagcZBq4GRQXoBY4FLATHBHYEWwSGBO8FfAYOBooG4QcQBxwHEwcDBvMG5wbeBt0G7gcZB1kHngfVB/IH9gfsB90HyAepB3sHRAcNBt4GuAaTBmkGNgX+BccFlQVlBTUFAgTNBJcEYQQwBAcD5APEA6EDeQNOAycDBwLrAtACtAKaAoUCdAJiAk0CNwInAiQCKwI2AjsCMwIaAfEBvwGPAXIBdAGVAcYB7wH5Ad4BqAFlAScA9gDZANAA2ADnAPIA8ADgAMkAsQCcAIoAeABmAFcATQBFADwAMgAqACYAJwAnACEAEv/+/+z/4//g/97/2P/N/7//sf+m/5r/iP9x/1b/Ov8j/xL/B/8B/vr+8P7e/sb+qv6N/nD+VP42/hf99P3Q/av9h/1l/Uf9Kv0K/Of8w/yl/I/8gfx1/GX8Uvw9/Cv8HfwT/Az8Bfv++/X77Pvl++L75Pvn++j75PvZ+8v7u/uq+5v7j/uH+4P7gPt8+3T7avtf+1X7SvtA+zT7Kvsj+x/7Hfsc+xr7FvsS+w77CvsG+wL6//r9+v36/Pr4+vP67/ru+vD68/r1+vP68frw+vD68Prx+vL69vr7+v/6//r7+vj69vr2+vf6+Pr5+vz7AfsH+w77Fvsg+yv7M/s3+zf7Nfs1+zn7PftC+0f7S/tQ+1L7UPtK+0L7Ofsv+yb7HfsW+xD7CvsD+vz69/r1+vX69vr3+vf6+fr8+wD7AvsE+wj7EPsa+yX7L/s2+z37Q/tJ+0/7VPtY+137Yvtq+3T7f/uK+5T7nPul+637tfu6+7/7xvvO+9n74vvo++z77/vz+/X79vv1+/b7+/wD/Ar8D/wR/BT8G/wk/Cz8M/w6/EP8UPxh/G/8e/yD/Iv8lPyh/LD8v/zM/Nb83vzl/Oz88/z6/QH9Cf0R/Rb9Gf0b/SH9K/04/UX9UP1c/Wn9e/2O/aP9uf3T/fH+Ev4y/kz+YP5w/oH+kv6h/q/+vf7M/t7+7v78/wf/Ev8g/zH/Qv9R/1z/ZP9u/3n/g/+K/47/kf+W/5//qv+1/7//x//Q/9r/5f/w//sABwARABsAIgAnAC0ANQBAAFAAZAB9AJgAsgDKAOIA+gEVAS8BSQFiAX0BmgG5AdQB7QIHAiUCSQJvApACqwLFAuMDBwMtA1ADbwOOA7ED1wP8BB0EOARPBF4EXwRLBCQD9QPTA9UECQRuBPUFhwYLBnEGuAbwBzAHiQf8CHUI1wkKCQsI7wjUCM0I3Qj3CRAJJQk4CUcJRQkjCN4IgwgjB80HfgcxBuIGmwZjBjsGGAXyBckFpgWSBYkFgQVyBV0FRwU0BSAFDAT+BQMFHQU/BVQFUgU+BSkFIQUoBTMFPAU+BTwFMwUhBQkE8gTkBOEE4ATTBLEEegQuA88DYQLrAnQCBgGgAUUA9gC4AIsAawBMAC0AD//5/+v/3f/I/6r/jP92/2X/Uv83/xf++f7i/s7+uP6d/oL+a/5Z/kn+OP4l/hP+A/30/eL9zv24/aX9lf2H/Xn9a/1e/VD9Qv00/SX9GP0P/Qz9Df0P/Q/9C/0J/Qv9Ff0i/S/9Pf1N/WH9eP2Q/af9vv3W/e7+BP4U/iD+L/5F/mX+iP6q/sj+4f73/wz/If85/1b/df+R/6n/v//aAAAALwBiAJUAxwD7ATEBZgGYAckB/gI5AnUCqwLYAvwDHwNDA2cDigOvA9YEAQQsBFMEeASgBM4E/wUsBU8FawWIBaoF0AX1BhcGOgZgBosGtQbeBwUHLAdSB3IHigeeB7YH1Qf4CBkIMwhLCGQIfgiVCKUItAjHCOEI/QkUCSUJNQlJCV0JaglrCWQJXQleCWMJZglhCVcJSglACTUJKQkeCRYJFgkdCSUJJwkkCR0JGgkfCSkJMQkrCRMI8wjZCNII2QjfCNYIvAifCIkIfwh5CHEIZghfCF4IXAhJCCIH7Qe8B5kHhAd2B2kHXgdWB1IHSwc/By4HHAcNBwAG9QbqBuMG4QbiBt0G2QbbBuMG7gb3Bv4HCAcZBzAHRAdPB1IHWAdnB34HkgebB5sHnAelB7QHwgfMB9UH4gf3CBEILghOCHQIoAjPCPsJIQlCCWEJgwmlCcQJ4Qn6ChEKJwo7ClAKZAp0Cn4KfApwClsKRwpAClMKiArXCyoLZgt4C2QLQQspCycLNQtDC0gLSQtPC1wLbQt8C4cLkQuZC50LmAuKC3wLdgt7C4ULjQuRC5QLmguiC6kLqwutC7cL0Av5DCwMXwyMDLMM2w0JDT8NdQ2iDb4NyA3HDcINwA3DDcYNyA3EDbgNoA1/DVcNMQ0TDQIM+wz5DPkM+Qz6DPwNAQ0KDRYNIA0lDSINGQ0ODQcNBA0EDQUNCA0MDRINFw0fDS4NSQ1wDZkNvA3UDecN/A4YDjUOTg5hDnYOkg63DuEPBw8oD0UPYA99D50PwQ/pEBEQMxBKEFQQWhBiEHUQlBC7EOAQ+RD+EPMQ4xDcEOIQ7hDwEOIQxhCsEJwQlxCWEJAQhBB0EGEQTBA5ECwQJxAmEB8QDw/6D+wP5Q/fD8sPpg99D14PTw9GDzUPFA7oDrsOkw5xDlIOOA4hDg0N9g3ZDbgNlg1zDU4NJgz7DNMMrwyODG0MSwwtDBcMBAvuC9ALrAuJC24LXAtNCz4LLAsaCwgK+ArpCt0K1QrRCs8KywrCCrQKoQqNCnsKbApiClsKVApMCkUKQAo9CjkKNgoyCjAKLAojChMJ/QnlCc0JtgmeCYIJYwlDCSMJAwjgCL4IngiACGIIRAgmCAwH9gfiB80HtQebB4MHbAdWBz4HJAcPBwMHAQcEBwUG/gbwBt8GzAa3BpwGfAZYBjMGEQXwBc4FrAWHBWIFPQUYBPEEygSlBIQEaQRQBDMEEAPnA74DlwNyA00DJgMAAtwCuQKSAmQCMAIAAdoBwAGrAZEBbAFBARUA7ADIAKIAeQBNAB7/7f+5/4P/UP8j/vv+0/6n/nT+P/4N/eH9uf2O/V79Kvz2/Mf8m/xt/Dv8BfvQ+6D7dftL+x/68PrA+o/6Xvot+f750vmq+YX5XPkt+Pr4xviX+G34Rvge9/X3y/eh93f3Tfck9v723fa/9qT2iPZr9kv2KvYK9er1zfWx9ZL1cfVM9Sn1CPTq9M30r/SR9HT0XPRH9DH0GfP/8+fz1PPE87XzpPOR84HzcvNl81bzRPMx8yLzGPMR8wnzAPL28u3y5/Lk8uTy5fLn8ufy5PLf8tzy3vLk8uvy7vLs8ujy5/Lq8u3y8PLx8vTy+/ME8wvzDvMQ8xTzHfMo8zDzNfM48z7zSPNT817zavN384jzmPOm87LzvfPL89zz8PQG9Bv0LPQ69EX0T/Rc9G/0hPSY9Kj0t/TG9Nj06vT59Qf1F/Us9Uf1ZPWA9Zn1sPXF9dj16/YD9iP2SvZ09pr2vPbb9vz3IvdK9273jver98r37PgS+Dn4Xfh++J34vfjf+QH5IvlA+V35fPme+b/51/nj+en58voE+hr6LPo1+kD6WfqF+rn65/sN+0D7nvw5/P79w/5e/rf+2/7m/vT/EP81/1b/af9z/3z/i/+e/63/tf/C/+QAHQBUAGAAJv+z/zb+4f7E/sr+0f7M/sf+2P7+/yb/Pv9E/03/af+X/8X/4v/r/+3/8wADABcALwBIAGUAfwCQAJYAmACcAKgAuQDJANcA5ADvAPkBAgEKARYBKQFCAV8BeQGQAacBwAHfAgICJwJJAmQCeAKKAp4CuwLeAwUDKgNMA2oDhgOfA7UDyQPcA/YEHgRYBKYE/wVZBaYF4gYQBjYGWQZ5BpIGogaqBq0Gswa/BtUG8AcGBwsHAwb7BwYHKAdMB1IHJAbJBlwF9wWfBUYE5ASEBEoEUQSfBSAFsQY1BpsG2wbxBuQGwQadBoUGfgaFBpUGswblBysHdge0B9YH2wfOB7sHogeBB1IHGAbeBq4GigZoBj8GBwXFBYMFSgUdBPkE1QSrBH0ETgQjA/oD0wOoA3gDRwMZAvACzgKzApwCigJ7AmoCVAI4AhoCAwH6Af4CCAIPAgoB+gHgAcABnAF3AVYBPgE4AUkBcQGlAdIB4gHIAYQBKQDUAJ4AjQCXAKsAtgCxAKEAiwB1AF8ASwA4ACkAHwAYAA8ABP/6//T/9f/4//b/6f/V/8P/uf+5/73/vf+0/6T/kv+C/3L/YP9K/zL/Gf8E/vT+6v7k/uD+2f7L/rb+mv58/l7+Qv4o/g397/3L/aT9fP1Y/Tz9I/0I/Oj8xPyh/IX8cfxh/FH8Pvwq/Bf8B/v6+/L77Pvo++T73fvV+8/7zfvP+9P71fvR+8b7tvuj+5L7hft9+3r7d/tx+2j7XvtU+0v7Qvs4+yv7H/sV+w/7DPsI+wP6/Pr2+vH67/rt+uz66/rs+u367vrt+ur66frp+ur67Prr+uj65frk+uT65frl+ub66frt+vL69Pr0+vL67/rt+uv66/rt+vL6+fr/+wT7CfsR+xr7Ivsn+yn7K/sw+zf7PvtD+0j7TPtR+1T7U/tN+0T7PPs1+y/7KPsg+xX7C/sB+vv6+Pr4+vr6+vr6+vr6+/r7+vz6/fr/+wf7E/sg+yv7M/s5+z77RvtO+1b7Xfti+2b7a/tx+3r7hvuR+5v7ovuo+677tfu9+8P7yfvP+9j74/vt+/P79vv2+/X79Pv1+/n8AfwJ/A/8E/wV/Bf8Hfwk/C38Nvw//En8Vvxl/HP8gfyM/JX8nvyo/LT8wfzN/Nf84Pzo/O/89vz8/QL9Cf0Q/RT9Ff0Y/R79Kf02/UD9Rv1M/Vj9bf2I/aX9wP3b/fr+G/46/lP+Zf5z/oL+kv6g/qz+t/7F/tf+6v75/wT/Dv8b/y3/Qf9R/17/af91/4L/jP+S/5b/nf+o/7X/wf/L/9T/3v/p//P//AAFAA8AGwAnADEANwA9AEMATABYAGkAfgCWAK4AwwDVAOYA/AEXATQBUAFrAYYBowHBAd0B9wITAjMCVwJ7ApwCuwLcAv8DJQNIA2gDhgOoA8wD8AQQBCwERgRdBGsEZwRPBCsEBwP1BAIEOwSjBTEFzwZcBsAG+AcaB0cHlggFCHwI1Qj7CPEIzwi1CLUI0Aj4CSEJRglpCYQJiQloCR0ItwhLB+YHhgcmBsgGdwZCBiUGDwXvBcMFmQV/BXYFcQVlBVEFOwUpBRkFCAT9BQEFGQU6BVIFUgU+BScFGgUZBR8FJwUtBS4FJAUJBOAEugSnBKcErQSjBHkEMAPQA2QC8gKAAhEBqwFPAP8AvACKAGYATAAzABf//f/p/9r/zP+3/57/hv91/2b/Uv81/xT++P7k/tP+vf6h/oX+cP5i/lX+Rf4y/h/+D/3//ez91f2+/ar9mv2K/Xr9af1Y/Ur9PP0u/SD9E/0M/Qr9Cv0J/Qb9Av0B/QX9D/0b/Sn9N/1H/Vz9c/2M/aT9vP3X/fD+Bf4T/h/+Lf5C/l/+f/6g/r/+2v7w/wL/FP8o/0T/Zv+I/6b/wv/gAAYAMwBkAJQAxQD4AS4BYwGVAccB/AI2AnECpgLRAvUDFwM5A10DggOpA9ID/gQnBEwEbwSXBMQE9AUeBT8FWwV7BaMFzgX3BhwGQQZpBpQGvQbiBwUHKQdPB3MHkQesB8kH6ggMCCoIQghZCHEIiQidCKsIuQjQCPAJEgkuCUEJUQliCXMJfQl6CW8JZglnCW0JbwlqCWAJVglRCU0JRQk6CTEJLwk1CTwJPQk2CSsJJAknCTAJNgkuCRcI+wjoCOMI6AjqCOAIzgi7CKwIngiKCHIIYwhkCHIIeghoCDoH/wfNB60HngeTB4cHfgd5B3gHcgdjB0wHNQcjBxUHCQb9BvIG6gbjBscGxQbQBuQG9Qb6BvcG+gcOBzAHUQdiB2EHXAdkB3oHkwejB6gHqAeuB7sHygfZB+gH+wgUCDIIUQhxCJcIwgjwCRoJPwlhCYIJpAnFCeEJ+AoNCiMKOwpVCm0KgQqNCo0KggpwCmAKXQpvCpoK2QsgC1sLdwtvC08LMAskCy0LQAtNC08LTQtSC18LcguAC4oLkAuUC5ULjwuEC3oLeAuAC40LmAufC6QLqQuvC7QLuQvBC9IL7wwXDEMMbgyTDLcM3w0RDUwNhw23DdIN2Q3TDc0NzQ3UDdkN2Q3PDbsNnw17DVMNKw0KDPcM8gz4DQENCQ0KDQQM/Az4DPsNAQ0FDQAM9AzmDN4M3gzmDPMNBA0XDSsNPg1SDWkNiQ2xDdkN+g4ODh4OMg5QDnQOlQ6vDsYO4Q8EDykPSQ9hD3UPjQ+sD9AP9hAcEEIQYxB5EH4QdBBrEHUQmRDNEPkRCRD9EOUQ2hDlEPsRBxD6ENgQtRCiEKAQoxChEJYQiRB8EG8QXRBJEDkQMxAxECoQGBACD/MP8A/uD98Pvw+ZD30Pcg9vD2MPRA8WDuIOsg6LDmwOVg5EDjIOHA3/Dd8NvQ2aDXUNSw0gDPgM1Qy3DJoMfgxmDFAMOgwcC/YLzgusC5ULhgt4C2YLUgs8CygLFgsGCvoK8grvCuwK5wrdCs8KvwqtCpwKjwqFCn4KeApxCmsKZQpgClsKVQpQCkoKQwo6Ci0KGwoHCfMJ3gnGCasJjQluCU0JKgkGCOMIxQirCJIIdghYCDwIJQgSB/4H5QfHB6gHjAd0B14HSgc8BzcHNwc4BzMHJgcTBv8G7AbZBsIGpAaBBl0GPAYdBf8F3gW5BZIFawVHBSQFBATkBMcEqgSOBG4ESgQhA/cDzwOpA4QDYAM6AxMC6wLAApICZgJAAiUCEQH8Ad4BtgGHAVoBMAEIAN4AsgCEAFYAJ//3/8X/lf9q/0H/F/7o/rT+gP5Q/ib9/v3R/Z/9af02/Qb82Pyq/Hn8RvwV++X7t/uJ+1r7Kvr7+sz6nfpu+kD6Ffnt+cX5mvlp+TX5AvjU+Kv4hPhe+DX4C/fg97b3jPdi9zn3FPb19tr2wPaj9oT2YfZA9iL2B/Xr9c31q/WH9WT1QvUh9P/03/TD9Kr0lfR+9GP0RPQm9A7z+/Pt893zy/O386TzlPOG83fzZvNV80fzPfM28y3zIvMW8w3zCvML8wzzC/MH8wPzAPMB8wPzB/ML8w7zD/MP8w/zD/MQ8xLzEvMS8xTzGfMg8ybzKvMt8zLzOfNB80jzTfNT81rzZPNt83bzf/OM85vzqvO588Xz0fPf8/D0BfQa9C70P/RM9Fb0YPRt9ID0lPSo9Lj0xvTW9Oj0+fUH9RT1I/U69Vb1dPWO9aT1uPXM9eP1/PYa9j72ZvaN9q/2zPbn9wX3J/dK92v3ifep98v38fgX+Dr4W/h4+JX4s/jT+PT5FPk0+VP5cfmQ+a35wvnP+db54Pnw+gL6D/oT+hj6KvpQ+oL6sfrY+wP7UPvP/Hz9NP3T/kT+if62/uH/D/87/1v/av9u/3L/fv+P/53/p/+z/8//+QAcABb/0/9g/uj+mP59/oL+i/6K/or+mv67/t/+9v8B/xH/MP9d/4f/n/+m/6f/rf+6/83/5QADACMAPgBMAE0ATABUAGcAfwCRAJoAoACpALYAwwDOANkA6QEBAR0BOgFWAXABiwGoAccB5QIAAhkCMAJFAl0CeQKbAsAC5QMFAyADNwNPA2cDgQOaA7cD3gQYBGUEwAUaBWUFnQXFBegGCwYtBkkGWQZdBlwGYAZvBokGpAazBrEGqAatBtEHCgc3BzQG9AaJBhgFugVtBSAEzgSNBIAEuwUwBbkGLgZ+BqkGuAaxBpUGbgZKBjcGOwZPBm0GlQbLBw0HUgeIB6QHpQeUB34HZwdKByAG6gawBn4GVwY2Bg8F2gWYBVYFIAT5BNsEuwSVBGsEQwQeA/cDxgOJA0gDDgLhAsACpgKNAnkCagJeAk0CMAIKAeUBzgHLAdYB4gHhAdEBtQGYAYEBbwFcAUABGgD3AO0BCwFSAagB5wHyAcABZQEDALMAhABwAG0AcAByAHEAaABYAD8AJAAL//n/7v/o/+H/1//N/8X/wv/F/8X/vv+v/57/lP+U/5r/nf+X/4f/cv9b/0X/MP8a/wX+8v7i/tT+yv7D/r7+uf6u/pv+gP5g/kD+JP4O/fr94v3C/Zr9b/1J/Sv9Fv0B/Of8xfyg/H/8ZfxQ/D78LPwZ/Ab79Pvl+9r71PvQ+877yvvE+737uvu7+8D7xPvE+7z7rfub+4n7fPt0+2/7avti+1f7TPtD+zv7NPsr+yD7FPsK+wL6/Pr2+u/65vre+tn61vrW+tb61/rX+tj62fra+tz63vrh+uL64Prc+tf60/rS+tL60frR+tL61vrc+uL65vrp+ur66vro+uX65frp+vD6+fsA+wP7BfsJ+w77FPsY+xv7IPsp+zT7PftD+0X7R/tK+037TvtL+0f7Q/tB+z37OPsv+yL7FPsI+wH6//r/+wD6//r++v76/vr/+wD7AvsG+w/7G/sn+zH7OPs++0X7TftW+177Zftq+2/7c/t6+4P7jvuZ+6L7qPus+7L7u/vE+8v70fvW+9776fvz+/n7+vv4+/X79fv5+//8BfwM/BL8F/wb/B/8I/wp/DD8OvxE/E/8Wvxm/HP8gPyN/Jn8ovyr/LP8vPzF/ND82/zm/O/89fz4/Pv9AP0F/Qn9C/0N/RP9Hv0r/TX9O/1G/Vv9ff2l/cv95/3+/hX+L/5J/l7+bf55/ob+lf6k/rD+uv7H/tj+6v75/wP/Df8a/yv/Pf9L/1f/Y/9x/4D/i/+R/5X/nf+q/7j/xP/O/9j/5P/x//wAAwAJABEAHQArADcAQQBKAFQAYABuAH8AkwCpAMAA0wDlAPcBDgEqAUgBZAF/AZsBuwHcAfsCGAI1AlUCeQKcAr0C3wMEAysDUANvA4sDqQPMA/AEDwQmBDwEVARrBHgEcARVBDUEIAQgBDsEeATeBWoGCAaVBvUHIwc3B1gHnwgICHYIxQjiCNYIuAilCKkIwgjlCQkJLwlYCYAJlQmDCUQI5Ah6CBcHuAdWBvAGlgZWBjIGGQX1BcMFkAVvBWUFYwVcBUkFMwUeBQwE/ATwBPMFCQUqBUYFTwVEBTIFIQUVBQ0FCQUKBQsFAQTkBLYEiQRwBGwEawRVBBsDwANUAuYCewIUAbMBWgEMAMoAlABrAE0ANgAgAAj/8P/d/83/vf+p/5L/fv9u/1//Sv8t/w/+9/7m/tb+w/6q/pL+gf51/mj+V/5D/jH+Iv4T/gD96P3P/bn9p/2X/YX9cf1c/Un9Of0p/Rv9EP0K/Qf9A/z+/Pj89Pz2/P79Cf0V/SH9MP1C/Vf9bv2F/Zz9tf3O/ef9/f4P/h7+MP5F/l7+ef6W/rT+0P7p/v3/Df8f/zr/XP+D/6j/yv/sABIAPQBsAJsAzAD/ATQBaQGcAc0CAQI3Am0CoALMAvIDFwM7A2ADhgOtA9cEAgQpBE4EcQSYBMIE7QUUBTUFVgV+Ba0F3QYIBi4GUgZ5BqIGyAbpBwkHLQdUB3wHoAfAB+EIAwgjCD4IUwhoCH0IkgiiCK4IvQjWCPoJIQlBCVYJZgl1CYIJiAmDCXgJcAlxCXcJegl3CXAJawlqCWkJZAlbCVEJTQlOCVEJUAlICTsJMgkvCTAJLwklCRII/QjvCOsI7AjrCOQI2wjTCMsIvgiqCJgIkgibCKkIowh9CD4H/wfVB8QHvwe4B60HogebB5YHigd1B1wHRgc1BycHGAcGBvQG4gbSBqcGpwa8BuIHCgcfByAHHAclB0EHYQd0B3QHbgdyB4QHnAetB7UHugfEB9UH5wf5CAsIIwg/CF4IewiZCLsI4wkNCTYJWgl9CaAJwgngCfcKCgoeCjcKUwpsCn4KiQqMCokKggp+CoIKlQq4CugLHAtJC2ILZAtQCzULIQseCywLPgtKC04LTwtWC2QLcwt8C34LfQt7C3oLeAt4C3kLgAuMC5gLogupC68LtQu7C8MLzgveC/QMEAwwDFIMcwyWDL0M6g0hDV8NnA3MDeYN6g3hDdYN0g3TDdINyg25DaMNiA1oDUQNHwz+DOsM5wzwDP0NBg0GDP8M9QzvDPEM9wz5DPIM4wzRDMcMyAzUDOgNBA0kDUcNaQ2HDaQNxA3qDhAOLw5EDlUOaw6NDrYO3A76DxIPLQ9ND2wPhA+VD6YPvw/iEAgQKRBGEGYQiBCkEKwQnRCJEIoQqxDgEQkRDRDwENEQzhDtERQRIBEEENIQqBCaEKIQqhCjEJIQgRB5EHQQahBaEEoQQRA7EDAQGhAED/gP+xAAD/gP3g+7D6MPnA+fD5gPew9KDw8O1w6pDocOcA5fDk8OOg4fDf8N3A25DZMNbA1EDR8M/gziDMgMsQybDIQMaAxGDB8L+wvfC8oLugunC5ELeAtgC0oLNQsjCxcLEAsOCwsLBAr5CusK2wrLCrwKsAqmCqAKmwqWCpIKjQqJCoMKewpyCmgKXwpUCkgKOQooChYKAgnrCdMJuAmaCXoJVgkvCQsI7AjTCLwIowiICG0IVghCCCwIEAftB8oHrAeWB4YHfAd1B3MHcQdsB2AHTQc4ByUHEwcBBuoGzQasBooGawZNBi8GDQXnBb8FmQV4BVwFQgUmBQgE6ATHBKUEgQRZBC8EBgPfA7oDlwNxA0gDGwLvAsYCpAKLAnYCYQJFAh8B8wHHAZ0BdAFKARwA6wC6AIsAXwAzAAb/2f+u/4P/V/8n/vT+w/6V/mr+QP4R/d79qv13/Uf9F/zo/Lj8iPxX/Cf79vvE+5L7Yfsy+wT61vqq+n/6Vfor+gD50fmf+Wv5OvkN+OX4wPic+HT4Svge9/P3yPef93f3Uvcy9xf2/fbf9rz2l/Zz9lT2OvYg9gL14PW99Zr1d/VT9TD1EfT49OT00PS29JT0b/RM9DL0IfQU9Afz9fPg88rzt/On85nzifN582vzYfNa81HzRvM78zTzNPM48znzM/Mp8yDzH/Ml8yzzMfMx8zDzMPMz8zbzN/M18zPzMvM08zjzPvNE80nzTPNO81DzU/NY813zY/Nq83Lze/OF847zl/Oi87DzvvPM89nz5fPz9AP0FvQq9D/0UfRg9Gv0d/SF9Jf0qvS69Mf00/Th9PH1AvUS9SD1MfVJ9WX1gfWZ9a31wfXZ9fT2EvYz9lb2evac9rv21vbx9w73LfdK92X3gvej98n38PgV+DT4UPhs+Ir4qvjL+Oz5Dfkt+Uv5aPmD+Zr5rfm5+cD5yPnX+er5/PoF+gn6Efoq+lT6hfqz+t/7Gftz+/L8iv0m/bL+Jf6D/tP/F/9L/2z/eP92/3P/dv+E/5j/rf/A/9T/5v/o/8X/dP8D/pT+Sf4u/jP+QP5H/kz+Wf5y/pD+qf6//tn+/f8m/0f/W/9i/2b/bP93/4f/n/+9/9//+QAGAAgADAAdADkAUwBgAGIAYgBpAHkAigCXAKEArgDDAN8A/gEcATcBUgFtAYcBoAG5AdIB6QIAAhcCMgJSAnkCogLHAuUC/wMYAzMDTwNqA4YDrAPkBDEEjQTmBS8FYQWDBZ4FuwXbBfYGCAYPBhMGGwYvBkoGXwZjBlgGUQZmBqMG8gcpByEG0wZdBegFjAVFBQQEyASrBM0FMgW8BjgGggaVBoYGbgZVBjoGGwYBBfcGBAYmBlQGiAbABvoHLgdTB2IHXAdLBzgHJAcLBucGtQZ8BkYGHAX6BdkFrgV6BUQFFwT1BNYEsgSIBF8EPQQfA/kDvgNvAxwC2wKzAp4CjAJ2Al0CSAI2AiECAQHXAbEBnQGfAa0BtwGwAZcBdQFUAT8BNQEsARkA9QDMALIAuwDrATABbgGNAYcBZgE2AP4AvwCAAEoAKwAlADAAOgA1ACEAA//n/9L/xP+8/7X/rP+h/5f/kP+O/47/i/+C/3b/bf9q/27/cv9u/2D/Sv8x/xj/Af7r/tf+x/65/q3+ov6Y/pL+jf6G/nj+YP4//h7+Av3v/eD9z/20/Y79Yv05/Rr9Bfz0/N78wfyf/Hz8XvxF/DD8G/wH+/T74/vT+8f7v/u6+7f7tfuy+6/7rvuu+7D7svuy+637ovuT+4P7dftq+2L7WPtN+0D7NPsr+yX7Ifsc+xX7C/sA+vf68Prp+uL62vrS+sz6x/rE+sL6wfrA+r/6v/rC+sf6zvrU+tb61PrO+sj6w/q/+rz6uvq7+r/6xvrO+tX62frc+t763/rg+uD64frm+u769/r/+wT7B/sK+w77EPsS+xT7Gfsj+y/7Ofs++0D7QPtB+0T7R/tJ+0v7S/tL+0j7Q/s5+yz7H/sU+wz7CfsI+wj7BvsD+wH7AvsF+wn7DvsV+x77J/sw+zj7P/tG+077V/tf+2b7bPtx+3f7fPuC+4r7lPue+6f7rfuy+7n7w/vN+9X72vvf++b78Pv5+/37/Pv5+/j7+/wB/AX8CPwL/BD8GPwg/Cf8K/wv/Db8QPxL/Ff8Yfxp/HP8fvyK/JT8nfyk/Kr8sPy5/MT80vzg/Ov88fzy/PL89Pz6/P/9Af0C/QX9Df0Y/SP9MP1F/Wn9mv3O/ff+EP4e/ir+O/5P/mD+a/51/oH+kP6g/q7+uf7G/tb+5v7z/v3/B/8V/yb/NP8+/0X/Tv9c/2z/ef+A/4T/i/+W/6L/rf+3/8T/1P/j/+//9f/5AAAADAAbACsAOQBIAFgAaQB4AIkAnACzAMwA5AD6ARIBLQFLAWcBgQGbAbgB2gH9Ah4COwJaAnwCoALDAuIDAgMlA0oDbAOIA6IDwQPmBAgEIQQxBEIEWgR0BIAEdQRYBD0ENQRFBGwEqwULBY0GIwarBwQHKwc7B1kHnQf/CGEIpQi+CLcIpgieCKYIuQjPCOQJAAkqCV4JiQmQCWgJGgi9CGYIFAe8B1cG8AaYBlkGKgX4Bb4FhgVhBVQFUwVOBT0FJAULBPUE5ATaBN8E9QUYBTgFRwVCBTEFGgUDBO4E3wTaBNsE1wTCBJ0EdgRbBEsENQQEA7ADRALRAmUCBAGrAVgBDwDSAKIAewBbAEEAKQAT//z/5v/S/8H/sP+d/4j/df9k/1T/QP8n/wz+9f7k/tb+x/61/qT+lv6L/n3+av5W/kX+N/4o/hX9/f3j/cz9uv2p/Zb9gP1o/VH9O/0o/Rj9Df0G/QL8/Pz2/PD87vzy/Pr9A/0O/Rn9J/06/U/9Z/1+/Zb9rv3H/d/99/4N/iL+OP5O/mT+e/6U/rD+zv7q/wL/F/8s/0f/av+Q/7X/1//3ABsARAByAKMA1QEIATwBbwGhAdICAwI2AmoCnQLLAvUDHANDA2kDkAO4A+IEDAQ0BFoEfwSlBMwE8wUWBTkFXwWLBb0F7gYZBj8GZAaLBrIG1gb3BxkHPQdlB4wHsAfRB/EIEggxCEsIYAhzCIYImQipCLYIxwjhCQQJLAlOCWYJeQmICZMJlwmSCYkJggmCCYcJjAmNCYsJigmJCYcJggl6CXEJaglmCWMJXglWCUsJQQk5CTUJMQkoCRoJCwkACPsI+gj5CPUI8QjrCOEI0Qi9CK8IrQi1CLYInQhqCCsH+wfmB+QH5QfdB84Hwge6B7EHnweEB2kHUgc+BygHDAbvBtcGxAa0Bq8GsQbKBwIHSAd/B5QHiwd8B3cHfAeBB4EHgAeIB5oHrQe8B8YH0gfmB/0IEggjCDQISwhpCIcIowi+CNwJAgkpCU4JbgmOCbAJ0QnuCgQKFwouCkoKZgp5CoAKfgp7Cn0KhgqYCrIK0wr4Cx0LOgtMC1ILTQtDCzcLLwsuCzQLOwtDC0kLUQtcC2kLcwt1C3ILbAtoC2gLbQt1C4ALjAuXC6ELqQuxC7kLwgvLC9cL5gv7DBMMLQxGDGIMggymDNENAQ03DXQNsA3gDfsN/Q3vDd0N0Q3KDcENsw2fDYsNdg1eDUANHAz7DOUM3gzjDOwM8QzyDPAM7wzzDPoNAQ0BDPgM6QzZDNEM1AziDPkNGA0/DWoNlA24DdgN9w4aDkAOYw5/DpYOsg7WDwAPJg9ED1sPdA+PD6oPvQ/KD9wP+RAgEEQQXRBvEIUQpxDIENcQyRCwEKcQwhD0ERkRFhDxEM4QzxD2ESMRLRELENIQqBCeEKsQshClEI0QehB1EHcQdhBsEGAQVhBOED4QJRAPEAYQDRAVEA4P8w/PD7cPsw+5D7cPng9vDzUO/A7NDqkOjw58DmoOVg49Dh4N+w3XDbINjg1rDUoNLA0SDPsM5QzQDLYMlwx0DFAMMQwYDAML6wvRC7YLnAuFC24LVwtCCzQLLQsrCykLIgsWCwgK+QrqCtwK0ArHCsEKvQq6CrcKtAqwCqoKoAqVCooKgAp2CmkKWgpJCjYKIwoPCfgJ3wnDCaMJgQlbCTYJFgj6COIIywiyCJsIhAhuCFQINggTB/IH1wfGB7wHtwe1B7IHqweeB4sHdQdgB04HOwcnBw4G8QbTBrUGmQZ7BlwGOQYUBe4FzAWvBZYFfgVkBUUFIgT+BNsEtgSQBGYEPAQVA/ADzAOlA3kDSwMgAv8C6ALWAsICpwKDAlcCKQH/AdkBswGIAVgBJQDyAMQAmQBuAEMAF//q/73/j/9g/y//AP7T/qf+ev5M/hv96f24/Yf9V/0m/Pb8xvyW/GT8MvwA+9D7oPtw+0D7Efrl+rv6kvpn+jn6CPnX+ab5d/lM+ST5APjc+LT4h/hY+Cn3//fY97P3kvd091j3Pfcd9vb2zvap9ov2cvZY9jn2FvXx9cz1pvWA9Vz1P/Uq9Rr1B/Tq9MX0nPR49F70TfRA9DT0IvQN8/bz4fPP87/zsPOg85HzhfN883PzaPNe81jzWfNe81/zV/NK8z/zPvNF807zUvNQ807zUfNY813zXfNY81PzUvNY82DzaPNu83HzcfNw83DzcfN183nzf/OE84rzk/Od86jztPPA883z2vPm8/Pz//QL9Bn0KfQ89E/0YvRx9H/0jPSc9K30vfTJ9NL02/To9Pj1C/Ud9S/1Q/Vc9Xb1j/Wk9bj1z/Xq9gr2K/ZM9mv2ivao9sP23vb69xf3M/dN92X3gPeg98f37fgO+Cr4RPhi+IX4qPjK+On5CPkm+UL5Wvlw+YT5l/ml+a/5t/nF+dv58/oE+gj6BvoO+in6V/qM+r767fsl+3X75vx0/RH9q/43/qv/Bf9H/3L/h/+K/4P/fP+A/5H/rf/K/97/4P/G/4r/Lf69/lX+DP3t/e79/P4H/g7+F/4o/kH+YP6B/qX+yf7r/wX/Ff8f/yj/Mf87/0n/Xv97/5r/sv/A/8f/0//sAAkAIAAoACUAJQAwAEUAWABkAGwAdgCKAKUAwwDfAPgBDwEoAUEBWgF0AY8BqQHAAdYB7gINAjMCXQKFAqcCxQLjAwMDIwM/A1kDewOtA/QESQSeBOQFFgU4BVIFbAWHBaIFtQXCBcwF3AX0Bg8GIQYgBhIGDQYpBm0GwQb5BvAGpAYxBb8FZAUcBN0ErgSoBN8FTQXMBikGSgY2BgwF6QXTBcUFuAWtBbEFzAX+Bj0Gfwa5BuYHBQcWBxkHEgcGBvYG4gbJBqUGdwZBBgwF4AXABaYFiQVmBT4FGQT3BNUEqwR9BFMEMwQYA/IDsQNZAwACvwKcAo0CfQJiAkACIQIKAfMB1QGvAY0BegF4AX8BgAFzAVgBNgEYAQMA+gD0AOkA0QCvAJAAfwCBAJAApgDDAOoBGAE7AToBBACkAD//+P/g/+v//QAB//T/3v/J/7j/qP+a/43/gv94/27/Zf9e/1n/Vf9O/0P/Of81/zb/Of83/yv/F/8A/un+0/69/qr+mf6M/oD+dP5p/mD+Wv5V/kv+N/4b/fz94v3Q/cT9tf2d/Xr9Uv0r/Q389/zm/NL8uPyZ/Hj8Wfw//Cb8D/v4++P70fvD+7f7rvun+6P7ovuj+6X7pvul+6P7oPud+5r7lPuK+3z7bftf+1H7Q/sz+yT7F/sP+wz7DPsM+wn7Afr2+uv64vrd+tn61frQ+sn6wfq6+rT6sPqt+qv6rPqv+rf6wPrI+sz6zPrH+sH6u/q1+q76qvqq+rH6vPrG+sz6zfrN+s760frW+tr63frh+uf67/r3+v/7B/sN+xL7FPsU+xX7GPsg+yr7Mvs4+zr7PPs++0L7RvtK+037TvtN+0n7Qfs3+y37I/sa+xT7EvsR+xD7DvsK+wf7BvsK+xL7HPsm+y77Nfs7+0H7R/tO+1b7Xftk+2v7cvt6+4D7hvuM+5L7mvuj+6v7svu4+8H7yvvT+9r73/vl++379vv9+//7/fv8+/78A/wI/Ar8CvwK/A/8GPwi/Cv8MPw0/Dv8RfxR/Fz8Zvxu/HX8fPyD/Ir8kfyY/J/8pvyv/Lv8yvzZ/OX86/zr/Ov87vz2/P79Av0C/QL9BP0K/RP9IP03/V79kP3F/e3+BP4Q/hr+Kv49/k3+V/5f/mr+ef6J/pj+pf6z/sT+0/7g/ur+9v8G/xj/KP8w/zX/PP9I/1b/Y/9q/2//dv9//4n/k/+f/63/v//Q/9z/4//p//IAAAAQACAAMwBHAF0AcQCBAJIApgDAAN4A+gEVATABTQFrAYYBnwG5AdgB+gIbAjgCUwJyApcCvQLfAvsDFQMzA1MDcgOMA6YDxQPpBAoEIAQvBEIEXgR6BIQEdARUBDwEPARYBIYExAUcBZMGHAaYBuoHDgcgB0QHigfnCD4IeAiRCJUIlQibCKkIuAjECNAI5QkOCUoJhQmkCZEJUgj+CK4IZggYB7cHRgbYBnwGNQX3BboFggVaBUcFQQU6BSkFEAT2BOAE0ATJBM8E5wUIBSYFNAUuBRkE/gTiBMkEtwSvBLEEswSrBJcEfQRjBEQEEgPAA1EC1AJcAfQBmwFNAQcAzgCkAIUAawBSADgAHwAI//H/2//I/7b/pf+T/3//a/9Z/0n/N/8h/wn+8v7g/tL+x/68/rH+pv6b/o3+fP5q/lv+Tf49/in+Ev35/eL9zv26/aX9j/12/V39Rf0u/Rv9Df0F/QD8+/z2/PP88vz2/Pz9BP0M/Rf9JP00/Uj9X/14/ZL9rP3G/d/9+P4R/in+QP5X/mz+gv6a/rX+0/7x/w7/Kf9F/2X/iP+r/8z/6AAEACUATQB8AK4A4AERAUIBcgGiAdICAwI1AmgCmwLKAvYDHgNGA24DmAPEA/AEGgREBGsEkgS4BN4FAgUmBUoFcQWcBcoF9gYgBkcGbwaXBr8G5AcIBysHUQd3B5oHuQfWB/UIFQg1CFEIaAh8CJAIpAi3CMgI3Aj1CRUJOAlZCXUJiwmbCaYJqQmnCaAJmgmXCZcJmwmgCaUJpgmlCaAJmgmUCY0JhQl8CXIJaQlhCVgJTwlGCUEJPgk6CTMJKAkfCRoJGQkZCRcJEgkJCPkI4gjICLIIpgieCI8IcAhFCB8IDAgNCBEIDAf8B+wH5QfiB9cHvQeZB3YHVwc1BwoG2ga0BqYGqgawBy4HMAc6B2oHuggJCDEIJwf8B8sHpQeOB4QHiAeYB68HwgfPB9kH6QgCCB4INAhDCFMIagiKCKsIxwjiCQAJIwlICWcJgQmaCbgJ2Qn4ChAKIwo4ClAKZgpxCnEKbQpvCn4Kmgq8Ct4K/QsXCykLMws2CzcLOwtBC0YLSAtDCz0LOQs7C0YLVQtlC3ILeAt3C3MLbQtrC20LdguBC44LmguiC6oLsgu9C8kL1gviC/AMAQwWDC4MRwxiDIAMpAzMDPUNIA1QDYcNwQ3xDgoOCQ32Dd4NzQ3BDbQNpA2TDYUNdw1mDUsNJw0FDOwM4AzcDNoM2AzYDOAM7gz+DQwNEg0ODQMM9wzvDPEM/A0QDSoNSg1wDZsNxg3tDg8OLg5QDnUOnA7ADuEPAg8oD08PcQ+LD6APtQ/MD+EP8Q/9EBIQMxBeEIIQlxCgEK8QzBDsEPsQ7RDPEMAQ0xD/ESMRIxECEOIQ4REBESURKREFENAQrRCpELYQuxCrEJEQfxB8EIIQhRCCEHsQdRBsEFoQQRAqECIQJxAqEBsP+A/PD7QPrw+3D7kPpw+CD1MPJA76DtYOtw6cDoUObw5XDjoOGg34DdUNtA2VDXkNXg1HDTINHg0IDO4MzQypDIYMaAxODDIMFAv1C9gLwAuqC5MLegtjC1QLTQtLC0gLQQs2CykLHAsOCwAK8groCuEK3QraCtgK1QrQCsoKwQq3Cq0KpAqaCo0KfApqClgKRgo0Ch4KBAnnCcgJqAmHCWYJRQknCQwI9AjdCMYIrgiUCHcIWQg8CCIIDwgCB/oH9gfxB+kH3AfJB7MHnQeJB3YHYgdJBy4HEgb4Bt4GwwakBoMGYQZBBiIGBQXqBdAFtwWcBXwFWAUzBQ4E6QTEBJ0EdgRQBCoEAwPXA6cDegNUAzoDKAMXAwEC4QK4AosCXwI2AhAB6AG9AY0BXQEuAQIA1wCtAIAAUwAk//X/xv+W/2j/Of8M/t7+sf6D/lX+Jv32/cX9k/1j/TT9BPzT/KD8bvxA/BP75vu2+4L7T/sh+vb6zPqg+nD6QPoS+eb5uvmP+Wf5Qvkc+PL4wviO+F34M/gP9+73z/ex95P3dvdU9y/3CPbk9sf2rfaR9nD2S/Yj9fv10/Ws9Yn1b/Vd9U31OfUb9PT0zfSr9JL0gPRx9GL0UPQ79CT0DvP78+vz2/PL87zzr/Ol85zzkfOF833zfPN/84DzevNu82PzYPNk82rza/Nq82rzcfN784LzgfN783XzdfN984fzj/OU85bzlfOT85PzlfOa86DzpfOn86nzrvO388Tz0/Pg8+zz9/QD9A/0G/Qn9DT0QvRT9GT0dPSC9I/0nfSt9L30zPTX9N/06PT29Qf1G/Uv9UP1WfVw9Yj1nvWz9cj14fYA9iH2QvZh9n72mva19sz24/b79xb3MvdN92f3hPel98n37PgL+Cb4Q/hk+In4rPjK+OX5APkb+TT5Sflb+W75hPmY+af5sfm8+dD56voB+gn6A/n++gj6Kvpc+o76uPrd+w/7X/vX/HP9Hv3D/k/+vf8P/07/fP+X/53/lP+J/4r/nP+4/87/y/+l/1z++P6L/ij94f28/bb9vv3H/c390v3e/fX+GP5A/mf+iv6l/rr+y/7b/ur+9/8B/w7/IP86/1b/bP97/4j/mP+w/8j/2f/g/+L/6//9ABQAJwAxADcAQgBVAG0AhQCbAK8AxQDdAPgBEwEwAU4BbQGJAaIBugHVAfUCGAI6AloCegKeAsYC7QMOAyoDRwNvA6cD7QQ2BHgErwTaBPwFGwU2BU4FYQVuBXwFjgWoBcYF3gXmBeMF5AX8BjMGdAagBpoGXgYBBZ4FQwTyBKkEdQRqBJQE5QU7BXEFegVhBUIFMAUvBTgFQgVRBW4FngXgBiwGcwaoBsUGzwbNBsgGwga6BqoGkwZ0BlEGKAX7Bc0FpgWLBXkFZwVNBSsFBgThBL0ElQRnBDsEGAP5A9ADkwNEAvYCvAKdAokCcQJLAiECAAHpAdYBvAGaAXkBYQFUAUsBPQEmAQkA7ADVAMYAvgC6ALQApwCSAHcAWgA7ABwACAARAEUAngD3ASMBBACnADj/5f/C/8L/yf/F/7b/qP+g/5n/jP95/2X/V/9R/0z/Rv89/zP/KP8a/wv+/f73/vn+/f79/vL+4P7M/rj+pf6R/n7+bv5h/lb+Sf49/jD+J/4g/hf+B/3x/dn9w/2z/ab9lv1+/V/9Pf0c/QH87Pza/Mb8rPyP/HD8Uvw4/CD8CPvw+9r7xvu2+6r7n/uW+5D7j/uT+5n7nfuc+5f7kPuL+4j7hft9+3H7YvtS+0L7Mfse+wz6/fr1+vP69vr6+vr69Prp+t761PrP+s76zvrN+sj6wPq2+q76qPql+qP6pPqo+q/6t/q++sP6xPrC+r/6uvqz+qr6pPqj+qr6tPq++sL6wvrA+sD6xfrL+tL62Prc+uD65vru+vf7AfsL+xH7FfsW+xj7HPsh+yj7Lvsz+zj7PftD+0f7S/tO+1D7UPtN+0f7Pvs0+yv7JPse+xr7GPsY+xj7F/sU+xH7EPsU+xz7KPsz+zz7QftF+0n7TvtT+1n7Xvtl+277ePuB+4n7kPuV+5r7ofup+7H7uPu/+8f7z/vW+9z74fvp+/P7/PwC/AP8AfwB/AT8CfwN/A38DPwO/BP8G/wk/Cv8Mfw3/D/8SPxT/F38Zvxu/HX8evx9/ID8hfyN/Jf8oPyq/LT8wPzO/Nr84fzj/OT86/z3/QT9Df0P/Q79DP0L/Qv9Dv0Z/TD9Vf1//aX9wv3Y/e7+Bf4b/iz+Nf49/kj+V/5o/nf+hf6V/qb+t/7F/tD+3v7x/wf/G/8o/zH/Of9E/1D/W/9j/2r/cv98/4b/kP+c/6r/u//K/9f/4//v//8AEAAhADMARwBfAHYAiwCcAK0AxADhAQABHAE1AU4BagGHAaIBuwHWAfQCFQIzAksCYgKBAqcCzgLvAwgDHQM3A1YDdAONA6UDwQPjBAMEGwQuBEUEZASABIUEbgRKBDMEOQRcBI8EzgUiBZAGDAZ6Br8G3gbzBx4HaQfDCBMISAhkCHQIggiTCKQIswjACM0I5AkMCUYJhAmpCaAJZgkSCL4IdQgqB84HXAbmBn8GMQX0BbsFhgVbBUAFMwUpBRkFAwTtBNsEzgTIBMwE3AT2BQ0FFgUNBPgE3wTIBLQEpgSeBJwEnQSaBJAEfQRfBDAD5gN7AvsCdgH/AZ0BSwEGAMwAoQCEAHAAXABFACsAEv/8/+f/0v++/6v/mv+J/3b/Y/9Q/z//Lv8a/wP+7v7c/tD+yP7B/rj+rv6j/pj+jf6B/nT+Zf5U/kD+Kv4U/f395f3M/bP9mv2C/Wv9Uv07/Sb9F/0M/QX8//z7/Pj89/z6/P79Bv0Q/Rv9J/00/UT9WP1w/Yz9qf3F/eD9+/4V/i3+RP5Z/m/+hv6g/rz+2P72/xX/Nv9Z/37/of/C/9//+QAUADQAXgCNAMAA8QEgAU4BfQGsAdoCCgI5AmoCmwLJAvMDGgNBA2wDmwPLA/oEJQRPBHcEngTEBOgFDQUzBVoFggWqBdEF+AYgBkkGcwaeBsYG7AcSBzgHXQd/B50HuAfUB/IIFAg3CFYIcQiICJ4IswjJCN8I9QkNCSYJQglgCX4JlwmpCbMJuAm5CbcJsQmpCaIJoQmnCbAJtQmzCa0JpwmjCZ8JlwmMCX8JdQluCWYJXAlSCUwJSglLCUgJQgk7CTYJNgk1CTEJKgkfCRAI+wjfCMEIpgiNCHQIWghECDoIPwhHCEQIMggbCA8IEAgQB/wH0QeeB3QHUQcoBu4GswaUBqcG3gcVCDIIJQgECAIILwhyCJ0IlAheCBQH0AegB4kHiwefB7sH0wfgB+kH9wgPCCoIQQhSCGUIgAikCMgI5Qj/CRwJPQlgCXwJkQmlCb8J3wn/ChYKJgozCkIKUApaCl4KZQp2CpQKuwrfCvoLDQsYCx4LHwseCx8LKAs2C0MLSgtFCzwLNQs5C0cLWwtuC3oLfgt9C3oLeAt6C38LiAuUC58LqAuvC7YLwAvOC98L7gv+DA0MIAw2DE0MaAyHDK0M2A0CDSYNRg1pDZQNxg3vDgQN/w3qDdINwQ22DaoNmw2ODYUNfQ1wDVYNNQ0VDP4M7wziDNMMxwzFDNQM7g0KDRoNHA0TDQYM/g0CDRMNLw1QDXENkQ2yDdgOAw4uDlMOcw6RDrEO1g7/DygPUA93D5oPtw/OD+EP8xAGEBUQIRAtEEMQZxCUELsQ0RDaEOUQ+hETER0RDRDsENUQ3RD+ER4RJREQEPgQ9BEGERgREhDwEMcQrxCwELwQvxCyEJ4QkhCSEJkQnRCcEJkQlhCOEH0QZBBPEEUQRRBAECgP/g/SD7YPrw+2D7kPrg+UD3MPUA8tDwgO4Q68DpwOgg5qDlEONQ4YDfkN3A3ADaYNjw17DWkNVw1CDSYNBAzfDLsMmwx8DF0MPAwdDAIL6wvUC7sLoAuJC3oLdAtwC2wLZAtZC08LRAs2CyULFAsGCv4K+Qr2CvQK8ArrCuUK3QrUCswKxAq7Cq0KmwqJCnkKagpaCkQKKAoICekJzAmwCZQJdwlaCT4JJAkLCPII1wi5CJsIgAhqCFkITQhDCDoILwgkCBcIBQfwB9kHxAexB58HiQdvB1MHOAcgBwcG6wbKBqgGigZxBlkGQQYmBgkF7AXPBa8FjAVnBUEFHQT7BNkEtgSQBGYEOAQHA9YDrAONA3YDZANOAzEDDQLmAr4ClwJuAkQCGAHrAb8BkwFpAUABFgDrAL4AjwBfAC8AAP/R/6P/df9H/xj+6f68/pD+Yv4y/gD9zv2f/XP9Rf0U/OD8rPx+/FP8J/v3+8L7jPtb+y/7A/rV+qX6dvpK+iH59/nN+aX5fvlX+Sr4+PjC+JH4afhI+Cr4Cvfp98n3qfeI92X3Qfcf9wD24vbD9qD2evZS9iv2BPXf9b/1p/WW9YT1a/VJ9SH0/PTe9Mf0tPSi9JD0ffRo9FL0O/Qn9Bb0B/P38+nz3PPT88vzwfO086nzo/Ok86XzovOZ84/ziPOG84XzhPOD84fzkPOb86HzoPOb85nzm/Oi86rzr/Oy87TztfO187bzuvPA88fzy/PL88nzy/PT8+Hz7/P79AX0D/Qc9Cn0N/RE9FD0XvRu9H70jPSX9KL0r/S+9M703fTo9PL0/fUM9R71MfVE9Vf1bPWC9Zj1rfXC9dr19vYV9jX2U/Zw9oz2p/bA9tT25fb29w33KfdJ92n3ives98337fgK+Cf4Rvhp+Iz4qvjE+Nr48vkN+Sb5O/lN+WL5evmS+aT5rvm1+cP52vn0+gT6Bvn/+f76Dvou+lT6ePqX+rz6+Ptb++b8jf03/c7+R/6l/vf/Qv+B/6f/rP+a/4b/gf+O/5z/lv9s/x3+uP5P/fT9sv2O/YH9g/2J/Yz9kP2a/a/90P31/hn+OP5R/mj+f/6W/qr+uf7E/tD+4f75/xL/KP85/0j/WP9q/3r/h/+Q/5z/r//G/93/7f/3AAEADwAhADIAQQBQAGEAeQCWALQA0ADuAQ4BMgFVAXMBjQGlAb0B1gHwAgsCKwJSAn8CrQLVAvYDEwMzA1sDjQPFBAAEOQRuBJsEwATcBPEFAAUNBRsFLgVLBW4FkQWsBb0FywXfBgEGKAZDBkMGIgXkBZIFNATQBHAEJgQCBAgEKwRRBGkEbwRsBG8EfASUBLME2AUGBUAFhgXSBhwGWQZ/BooGgQZyBmYGXwZXBkUGKQYIBecFyQWpBYcFZwVQBUIFMwUZBPMEyASiBIIEYgQ7BBAD5gO/A5YDZAMrAvQCyAKpAooCYgIyAgQB5QHTAcQBqgGGAV8BPwEmAREA9wDaALsAoACMAH8AegB4AHUAbgBhAFEAPAAf//j/0f/B/9sAIABzAKkApQBsACP/7f/U/8r/uP+Z/3n/Z/9l/2f/YP9O/zn/Lf8r/y3/LP8l/xj/B/7x/tj+xP68/r/+x/7K/sH+sP6c/or+ev5q/lj+SP46/i7+Iv4V/gf9+/3w/eX91f3D/bD9of2T/Yb9c/1b/UD9JP0K/PT84fzN/Lj8nvyA/GH8Rfws/Bj8BPvv+9n7w/uw+6D7kvuG+377fPuA+4j7jvuO+4j7gft7+3f7c/tr+177UPtC+zT7JfsT+v767Prh+t364Prl+uf65Prc+tH6yPrC+sD6wfrC+sD6u/qz+qv6pfqi+qD6ofqk+qj6rPqw+rP6tPq0+rP6sPqr+qX6ofqi+qf6r/q1+rn6ufq4+rj6u/rB+sj60PrW+tz64vrp+vL6+/sE+wv7EPsT+xj7Hvsk+yn7Lfsx+zf7P/tH+0z7T/tQ+1L7UvtR+0v7Q/s6+zL7LPsn+yP7IPsg+yD7Ifsg+x/7H/sj+yr7NPs9+0P7R/tL+0/7U/tX+1v7YPtn+3D7e/uF+437k/uZ+6D7qPuw+7j7v/vH+8771vvc++D75vvv+/n8AvwH/Af8B/wH/Ar8DfwP/A/8EfwV/Bv8Ivwm/Cr8MPw4/EP8TfxU/Fv8Yvxq/HL8ePx7/Hz8gfyK/JX8n/ym/Kz8s/y8/Mf8z/zV/Nr85Pzz/QT9Ef0Y/Rn9GP0V/RD9Cf0G/Qz9IP0//WX9i/2v/dH97/4F/hH+F/4d/in+Of5L/lv+av56/ov+nf6t/rv+y/7f/vb/Df8h/zD/Pf9J/1T/Xv9o/3L/fv+L/5b/of+s/7r/yP/Y/+f/+AANACQAOgBOAGAAdACMAKMAtwDGANgA8QEPASwBRAFXAWwBhgGjAb0B1QHuAgoCKAJDAlkCcAKPArUC3AL7AxEDJgNBA2EDfgOVA6kDwwPjBAMEHwQ2BFAEbQSDBIEEYwQ9BCcEMwRcBJUE2wUyBZ8GEgZvBqMGtwbKBvgHRwehB+wIHgg9CFQIagh8CIsImQiqCMEI3QkDCTMJZAmACXQJOwjlCIsIOgftB5MHKAa7Bl4GGgXoBbkFigVfBUEFMQUkBRUFAwTyBOUE3ATVBNIE1QThBO8E9QTvBOEE0ATDBLkErwSlBJwEkgSHBHUEWAQtA+0DkwMhAqECJQG3AV0BFADXAKcAhQBvAF0ASgAyABgAAv/w/97/yv+0/6D/j/+A/3H/X/9M/zn/Jv8S/v7+7P7e/tX+z/7J/r/+tP6r/qb+ov6c/pD+fv5p/lX+Q/4w/hv+Af3k/cf9rP2T/Xz9ZP1O/Tr9Kf0b/Q/9Bfz9/Pj89vz3/Pz9Bv0T/SD9LP01/UD9Uf1o/YT9ov2//dv9+P4T/iv+Qf5V/mv+hv6j/r/+2/73/xj/PP9j/4j/qv/I/+P//gAcAEEAbACcAM8BAQExAWEBkgHBAe8CGwJGAnMCoALMAvMDGQM/A2sDmwPNA/wEJwRPBHcEngTDBOcFCwUyBVsFhQWsBdAF9QYdBkgGdAaeBsYG7QcTBzkHXAd7B5cHswfSB/MIFwg7CF0IewiVCKsIwQjXCPAJCAkeCTEJRglgCX0JmQmtCbkJwAnGCcgJxAm5CawJpQmoCbEJtwm2Ca8JqQmnCaUJngmSCYcJgAl8CXYJawldCVMJTwlQCU4JSglFCUQJQwk/CTUJKgkhCRoJEAj9COAIwQikCIwIeghxCHMIeQh6CGwIVAg+CDcIOAgrCAAHvweGB2kHYAdQByUG8wboByQHlAf/CTUJDwi1CGsIWAhxCI4IjQhoCC0H8Ae+B58HmAeoB8YH4gfzB/sIAwgTCCsIRAhbCHMIkgi3CNoI9AkKCSEJPwlgCX0JkwmmCb0J2AnyCgUKEAoZCicKOApKCl4KdAqSCrUK1wrxCwALCAsNCxILFAsTCxELEwsdCysLNgs6CzkLOQtBC08LXwttC3YLegt7C3sLfguDC4sLlguiC68LuQvBC8oL1QviC/MMBQwYDC0MRAxbDHIMjgyxDN4NDg03DVUNZw15DZINsg3PDdwN1g3GDbYNrA2jDZgNiw2BDXwNeA1sDVYNOQ0gDQ8NAQzvDNYMwQy9DM8M7w0PDR8NHQ0QDQINAQ0RDTQNYw2TDbwN2g31DhYOQg50DqAOwQ7XDu0PDA83D2cPlg+/D+AP+RAOECAQMhBBEE0QVxBjEHoQnRDHEOwRAREKERARHREtETQRJhEJEO8Q6BD2EQcRDREFEPoQ+BD/EQEQ9BDZEL4QsxC4EMIQxRC8ELEQrRCwELYQuBC3ELUQsxCrEJsQhBBwEGYQYxBZEEAQGQ/yD9gPzw/SD9IPyg+3D50PgA9eDzYPCg7eDrgOmQ5/DmgOUA42DhwOAQ3oDdENvQ2sDZ0NjA12DVgNNQ0QDOwMywyrDIsMbAxQDDYMHAwBC+MLyAuzC6cLoAuaC5ELhwt9C3ULawtbC0YLMAsfCxULEQsPCw4LCwsGCwAK9wruCuUK3QrSCsUKtAqkCpUKiQp5CmMKRgomCgcJ7AnVCb0JpQmLCXEJVwk8CR8JAQjiCMUIrgifCJUIjQiDCHYIZQhUCEEILQgXCAEH7QfbB8kHsweaB34HZAdMBzMHFQb0BtMGuAajBpAGegZeBj4GHgX/BeAFvgWbBXcFVQU2BRgE9gTNBJwEZgQwBAID4APIA7QDnAN9A1gDMgMOAu0CyQKhAnUCRwIbAfEByQGiAXkBTgEiAPUAxwCYAGgAOQAL/97/sf+D/1T/Jf74/sz+nv5t/jr+Cf3d/bP9iP1X/SL87Py6/Iz8X/wu+/r7xvuV+2f7OvsK+tn6q/p/+lf6LvoF+d35tfmL+Vz5J/jy+MX4oviG+Gn4Sfgl+AL34ffC96D3fPdY9zb3FPbx9sz2pvaB9l32OfYY9fz15vXT9b31nvV29Uz1J/UM9Pf05vTT9MD0q/SW9H/0aPRT9EH0MPQh9BP0B/P/8/fz7/Pj89bzzvPM883zy/PF87vzsfOp86TzovOj86nzsfO487vzu/O7877zxPPK883zzvPP89Hz0/PU89Xz2PPe8+Xz6PPm8+Xz5/Px8/70CvQT9Bv0JfQ19EX0U/Rf9Gv0evSL9Jv0qPSy9Lv0x/TW9Ob08/T99Qf1E/Ui9TP1RPVV9Wf1e/WR9af1vfXT9ez2CfYo9kX2YPZ59pP2rvbG9tj25vb19wr3J/dJ9233j/ev98/37PgJ+Cb4RPhm+Ib4ovi5+M745vkB+Rz5NPlK+WH5e/mT+aX5rfmw+bj5yvnk+fz6CvoN+gr6CvoR+iP6O/pY+nz6sPsA+3b8Dvy3/VT90/43/o/+6P8//4P/of+X/3r/Y/9e/2D/Uv8i/s7+Z/4C/bD9eP1Z/U39Tf1T/Vn9YP1r/X39lP2v/cv95v4C/h/+PP5V/mn+d/6C/pH+o/65/tH+5v73/wb/FP8h/y3/Of9G/1f/bP+B/5X/pv+2/8f/2P/n/+//9gABABYANABWAHUAkACsAM0A8wEaATsBVgFsAYMBmwG1AdAB7QIOAjUCYQKOArgC3QL+Ax4DQQNpA5cDywQABDAEVwRzBIcElwSnBLoE0wTzBRkFQwVqBYwFpwW+BdQF6wX+BgcF/gXYBZAFKASsBDED0AOWA4EDgwOOA5wDrwPKA+4EFgQ/BGwEpATnBTMFfwXEBfwGJAY2BjMGIAYKBfoF8gXpBdcFuwWeBYYFcgVdBUIFJQULBPcE4gTCBJcEagRHBDAEGwP9A9UDpwN8A1YDMwMQAu0CzQKqAn8CSgISAeUBygG6AagBiAFbASsBBADoANMAvACiAIQAZgBMADoAMQAvAC0AJwAdABQADgAG//P/0v+x/6L/s//a//4ADAAD//T/8P/y/+n/xf+N/1b/NP8q/yr/J/8a/w7/CP8K/w3/DP8F/vn+5/7P/rL+mP6L/oz+lf6a/pT+hP5x/mH+VP5H/jj+KP4X/gj9+f3q/d390v3H/br9qP2V/YP9dv1q/V79Tf03/SD9Cfz1/OH8zvy6/KX8jfxw/FH8M/wc/Ar7+/vr+9f7wvut+5n7ift6+3D7a/tt+3L7d/t4+3T7b/tp+2T7XftS+0X7OPst+yT7GPsH+vL63vrP+sj6yPrM+s/6z/rL+sX6vvq4+rT6sfqx+rH6r/qr+qb6oPqb+pn6mPqZ+pr6m/qb+pz6nPqc+pv6mfqY+pf6mfqd+qP6qPqt+rD6sfqx+rH6svq1+rv6w/rO+tf64Prn+u/69/r++wT7CPsN+xT7HPsk+yr7Lvsx+zf7PvtF+0r7TPtN+0/7UvtT+1L7TftG+0D7Ovs2+zL7L/st+yz7LPst+y77MPs0+zn7PvtD+0f7S/tP+1T7Wvte+2P7Z/tt+3b7fvuG+4z7kvuZ+6L7rPu2+7/7xvvO+9f73vvk++n77/v2+//8BvwK/Av8DPwP/BH8EvwT/BP8F/we/CT8J/wp/Cv8Mvw9/En8U/xY/Fz8Yvxq/HT8fPx//IP8iPyS/J38pfyo/Kj8qvyv/Lf8wPzI/M/82vzo/Pj9Bf0P/RX9Gv0d/R79G/0Y/Rz9Kv1F/Wn9kv26/dz99v4E/gj+CP4K/hT+JP43/kj+V/5n/nn+i/6c/q3+vv7R/ub++/8Q/yP/Nf9E/1H/Xf9p/3f/h/+W/6P/r/+8/8z/3P/uAAEAFwAyAE4AZgB5AIoAngC0AMoA2wDqAPwBFQEzAU0BYgFzAYgBowHAAdgB6wH+AhYCMwJOAmUCfgKcAsIC5gMCAxcDLQNKA2sDhwObA6wDxQPnBAsEKQRBBFgEcQSABHgEVwQwBBwEKgRXBJcE5gVHBbgGJgZ1BpcGnQarBt0HMQeNB9cIBQgiCDgISghVCFwIZQh6CJkIvQjgCQIJHwksCRgI4AiNCDIH3geMBzMG0QZyBiUF8gXOBaoFgwVgBUgFPAUxBSEFDAT6BPAE6wTkBNgEzgTMBNIE2QTbBNYEzwTKBMUEvgSyBKAEiQRrBEMEEAPNA3sDHAKxAkMB2QF7ASsA6QC1AIwAbwBaAEcAMgAbAAX/9P/m/9f/w/+s/5f/hv96/23/Xf9K/zX/If8O/v3+7/7l/t/+2/7V/s3+xP6//r7+vv65/qr+k/56/mP+Uf5C/jD+GP39/eL9x/2t/ZT9ev1j/VD9P/0u/R79EP0F/P38+vz5/P39B/0U/SH9LP00/T79Tv1l/YD9nP22/dL97/4M/iX+Ov5P/mb+gv6g/r3+2P71/xj/P/9m/4n/pv+//9r/+AAaAEIAbwCgANQBCQE+AXIBpgHYAgQCLAJTAnwCpwLSAvoDIANHA3EDoAPOA/kEIgRLBHUEnQTBBOIFAgUnBVAFegWhBcYF7AYXBkQGcQaaBsEG5wcPBzQHVQdzB5AHsAfTB/cIGgg9CGAIgQieCLUIyQjfCPgJEQkmCTcJRwlfCX0JmwmyCcAJyQnSCdgJ1gnKCbkJrwmwCbgJvgm8CbUJsAmuCasJowmXCY0JigmLCYcJegloCVoJUglPCUoJRQlDCUQJRAk+CS8JHwkXCRYJEwkICPMI2wjICLoIrgijCJsIlQiOCH8IbAhdCFUISAgkB+QHngd5B4kHuQfcB9MHsAetB/UIfAj+CXwJRAjOCFwIHQgVCCgINwg1CCUICwfrB8sHuAe8B9UH9AgLCBMIFwgiCDcIUwhtCIcIpAjCCN8I9AkDCRQJLAlMCWsJhAmXCagJuQnKCdkJ6An7ChYKOApbCnwKmgq2Cs8K4wrvCvYK+wsECw0LEgsPCwYLAQsECxELIwszCz8LRwtOC1YLXgtkC2kLbQtzC3kLgAuIC5ILoAuwC8ELzwvaC+ML7Qv4DAcMGwwzDE4MagyDDJsMtQzXDQINMA1VDWoNcQ1yDXkNhw2WDZ4Nng2ZDZQNkA2IDXwNbw1nDWYNZQ1dDUoNNA0kDRkNDgz5DNwMwwy9DM8M8A0ODRwNGg0PDQgNEA0rDVsNlg3PDfsOFw4tDkwOfQ64DusPDA8bDygPQg9wD6cP3BAFECEQNxBKEF4QcBCAEI0QmRCpEMEQ4BEBERsRJxEmESIRIhEpES8RLBEcEQYQ9BDqEOcQ5hDnEOkQ7xDyEO0Q3xDNEMIQwxDMENQQ0xDMEMYQxhDLEM8Q0BDOEMwQyRDAELAQnBCLEIIQfhB1EGIQRRAoEBMQCRAFEAEP9w/lD8wPrQ+ID14PMg8GDt8Ovg6hDocOcA5YDj8OJg4ODfoN6Q3bDc0Nuw2jDYQNYQ09DRsM+gzaDLsMngyDDGgMSgwqDAsL8AveC9MLygu/C7ILpQucC5ULiwt5C2ILSQs3Cy0LKgsqCysLKQslCx0LEgsGCvoK7wrkCtgKygq7Cq0KngqNCnYKXApBCiYKDwn5CeQJzQm2CZwJgQlkCUcJKQkOCPYI5AjYCM8IyAi9CK0ImAiCCGwIVghBCCsIFwgEB/IH3AfDB6gHjgd1B1wHQAciBwUG7AbXBsMGqwaOBm0GTAYtBg4F7wXPBa4FjwVwBU8FKAT4BMAEhgRTBCwEEgQAA+wD0AOqA4ADWAM1AxQC8QLJAp0CcgJKAiQB/QHUAakBfQFRASYA+QDMAJ0AbgBAABT/5/+6/4z/Xv8x/wX+1v6m/nT+Rf4Y/e/9xf2X/WP9Lfz4/Mb8lfxj/DH8APvQ+6L7c/tC+xH64vq4+pD6avpC+hr58PnB+Yz5VPkg+Pj42/jD+Kn4ifhl+EL4IfgB9973uPeS9273Svcm9wD22va19pL2cfZS9jb2IPYL9fH10PWm9Xv1V/U99Sr1GfUG9PL03fTG9K70l/SB9G70XfRN9D70MPQl9B30FPQK8//z9/Pz8/Hz7/Pp89/z0/PK88TzwvPG883z1PPY89jz1/Pb8+Pz7PPy8/Hz7vPt8+/z8PPx8/Hz8/P48/3z//P/9AD0BvQR9B30JfQq9DH0P/RS9GX0c/R79IX0lPSn9Ln0xvTO9Nb04vTx9P/1CvUR9Rn1JPUz9UP1U/Vk9Xb1jPWk9bv10fXn9gD2HfY69lX2bPaB9pj2sPbI9tz27fb+9xT3MfdS93P3k/ex98737PgI+CT4Qfhf+H74m/i0+Mv44Pj3+RH5LPlJ+Wb5g/ma+av5s/m3+bz5yPnb+fP6CPoX+hr6FfoM+gn6Ffov+lP6gfrC+yT7rvxV/Pv9hv3u/kD+kf7n/zT/Yv9p/1T/PP8v/yf/D/7W/nz+E/2x/Wb9N/0f/Rf9Gf0j/TL9Q/1U/WP9cf2A/ZL9q/3J/en+Bf4Z/if+Mv5A/lL+aP5+/pP+pf60/sP+0P7c/uj+9v8E/xP/Iv8x/0P/WP9x/4j/mf+g/6L/pv+1/9H/9gAZADYATwBqAIwAsgDYAPcBDwEmAUIBZQGIAaYBvAHOAeUCBwI2AmoCnQLHAucDAgMgA0QDbwOeA8sD7wQLBCIEOARRBG4EjgSvBNEE9AUYBT4FYgWCBZwFsAXBBc4FzgWyBWwE+wRwA+sDhgNQAz8DRANSA2gDjAO+A/UEKARVBIQEvQUBBUgFhQWxBc4F3wXjBdwFyQW1BaYFngWXBYkFdAVeBU0FQAUuBRME8ATOBK4EjgRoBD0EFQP5A+kD2gPAA5kDawNBAyADBQLsAtECsgKKAlgCHgHmAbwBowGSAXsBUwEeAOgAvgCkAJYAjAB9AGMAQAAa//r/6f/l/+b/4v/X/8z/yv/P/8//vv+c/3j/Yv9g/2z/e/+N/6b/x//k/+n/y/+R/1D/H/8D/vb+7f7m/uP+5f7p/uj+4f7X/s3+wv6v/pT+eP5l/mD+ZP5n/mL+VP5C/jT+Kv4i/hn+C/36/eX9z/28/a/9p/2f/ZP9gP1p/VP9Q/02/Sv9Hv0Q/QD87/zd/Mn8tPyg/I38ePxf/EH8JPwK+/j76vvd+8z7uPuk+5H7gPtx+2b7X/tc+137X/te+1v7V/tT+037RPs4+yn7HfsT+wv7Afry+uD6zfq9+rP6rvqu+rD6s/q1+rX6s/qu+qj6ovqe+p36nfqd+pr6lfqQ+oz6ivqI+oj6h/qG+oX6hfqE+oL6gfqC+ob6jfqV+pz6oPqj+qb6qPqq+qr6qfqq+q/6uPrF+tH62/rj+ur68vr5+v/7BPsJ+w/7F/sf+yf7Lfsy+zf7PPtB+0X7RvtH+0r7TvtR+1P7UvtO+0r7R/tF+0P7QPs++zv7O/s8+z77QftE+0f7SvtN+1D7U/tY+177Zftr+2/7dPt5+3/7hfuL+5D7lfud+6b7sfu8+8X7zvvX++D75/vt+/H79vv8/AP8CfwM/A78EvwW/Bn8GvwZ/Br8Hfwj/Cj8K/wt/DH8OfxF/FH8Wfxd/GD8Zvxw/Hr8g/yJ/I78lvyh/Kz8svyz/LH8sPyy/Lj8v/zF/Mz80/ze/On88/z8/Qb9EP0d/Sv9N/1D/VL9Zf1//Z39vf3b/fL+Av4J/gn+Bv4F/gr+Ff4l/jf+Sf5a/mz+ff6P/qL+tP7G/tf+5/75/w3/If80/0T/Uf9g/3H/g/+T/6L/sP/B/9X/6gAAABYALwBMAGgAfwCQAKAAsQDGANkA6QD4AQoBIwE/AVkBbQGCAZwBugHXAewB+gIJAh4COgJVAm4CiAKmAsgC6QMDAxgDLwNNA2sDgwOUA6UDwQPoBA8ELARBBFUEawR4BG4ETAQkBA8EHQRKBI0E4AVGBboGJgZuBogGhwaUBssHJweJB9QH/wgUCCEIKggrCCgIKwg/CGMIiwiuCMYI1AjSCLYIfggvB9gHgwcwBtgGfAYpBewFxQWrBZAFcQVYBU0FSgVDBS8FEQT4BOwE6QTkBNQEwQS1BLYEwQTKBM0EywTHBMQEvgSwBJcEcQQ+A/0DrwNXAvsCnwJFAe0BlwFGAP4AwwCVAHMAWgBFADIAHQAJ//n/6//f/9D/vP+l/5D/f/9z/2f/WP9F/zH/Hv8O/wD+9f7u/un+5v7j/t/+2/7a/tv+2v7T/sD+pf6H/m3+Wf5J/jr+KP4U/f795/3N/bD9k/16/Wb9Vv1F/TT9JP0Y/RH9Dv0M/Qz9EP0Y/SL9K/0z/T/9Uf1p/YP9nP2z/cz96P4F/h/+Nf5J/mH+ff6Z/rT+z/7t/xL/O/9j/4P/nP+z/87/8AAXAEIAcQCkANoBEgFJAYABtQHmAhECNwJcAoMCrgLbAwUDKwNSA3oDpQPOA/YEHgRJBHUEnwTDBOAE/AUcBUIFagWRBbcF4AYNBjwGagaTBroG4gcLBzIHUwdwB48HsQfXB/oIGwg7CF4IggiiCLsIzgjjCPwJFgktCTwJTAljCYMJpAm+Cc0J1gneCeQJ4gnXCccJvgnACckJzgnLCcUJwQnACb0JsgmjCZgJlQmWCZIJhQlzCWMJWAlQCUgJPwk8CT8JQQk9CS8JIAkXCRQJDQj/COsI3AjWCNMIyAiyCJsIjAiGCIEIdwhoCFUIOwgRB9oHsAe0B/MIUgiXCJwIcQhTCHkI4wlSCNUIqwhRB/kHygfIB+AH/AgUCCYILAgeCAEH4wfZB+oICgglCDEINQg+CFQIcQiMCKMItwjNCOMI9wkGCRQJKAlECWIJegmKCZQJnAmoCbkJ1An5CicKWQqGCqkKwQrRCtsK4grnCuwK9Ar/CwgLCgsCCvYK8Ar1CwcLIAs4C0kLUwtXC1oLWwteC2MLawt2C4ELiwuUC58LrwvCC9cL6Av1C/8MBwwRDCAMNgxRDHAMjwyqDMEM1wzyDRINNA1ODVoNWg1VDVINVw1fDWkNcA11DXcNcg1nDVcNSw1IDUwNTw1JDTwNLQ0jDRwNEQz7DN4MyAzFDNYM8Q0KDRYNGA0YDR4NMA1TDYYNww39DikORQ5dDoEOuA74Dy4PTQ9YD2MPgQ+1D/IQKBBLEGAQcBCBEJUQpxC3EMYQ1xDvEQsRKhFDEVIRUhFFETERHxEWERYRGhEYEQwQ+BDjENMQzhDUEOEQ7RDwEOgQ2xDQENEQ2xDmEOsQ5hDeENkQ2hDeEOMQ5BDiEOAQ3BDTEMUQtRCnEJ0QlhCNEH8QbBBZEEkQPhA3EDAQJRAUD/kP1w+vD4UPWw80DxAO7Q7NDrAOlg5+DmUOSw40DiEOFA4JDfwN6A3MDawNiQ1nDUUNIw0BDOEMwwynDIsMbQxODDEMGgwIC/sL7AvcC8wLvwu3C7ALpQuTC3sLZQtUC0sLSQtKC0sLSgtFCzsLLAsdCw8LAwr5Cu8K4wrUCsQKsgqdCocKcgpeCksKOAojCgwJ9AnbCcAJowmFCWkJUAk8CSsJHAkQCQYI/AjwCN4IyAiuCJYIgAhrCFYIQQgsCBcIAQfoB8wHsQeXB4AHagdSBzkHHwcGBu0G0wa2BpcGeAZaBj0GHwYBBeEFwQWdBXMFQwUMBNQEoAR2BFgEQwQyBBsD/APVA6sDgwNfAzoDEwLpAsACmgJ3AlQCLQIBAdQBqAF+AVUBKwD/ANAAogB0AEcAGv/t/8D/kv9l/zj/Cv7c/qz+ff5Q/iX9+v3N/Z39a/03/QT80fyf/G78PvwP+977rPt5+0j7HPr0+s76qvqE+lv6Lfn3+b35g/lS+S35FPj/+Ob4xvik+IH4X/g8+Bb37vfI96X3hPdh9zv3E/bt9sv2qvaL9m72U/Y69iD2APXa9bT1kvV39WL1T/U79SX1DfT09Nv0xPSv9J70jvR99G30XfRP9ET0OvQv9CX0HfQX9BP0D/QI8//z9fPr8+Tz4/Po8/Dz9/P58/jz9/P79AT0DfQS9BD0DfQM9Az0DfQN9A30EPQW9Bv0HfQc9B/0J/Q09D70QvRE9Ev0W/Ry9Ib0kfSW9J30rPTB9NT04fTo9O/0+vUJ9Rj1IfUm9Sv1NPVD9VT1ZfV29Yr1oPW59dH16PX99hX2L/ZK9mP2efaM9p/2tPbK9t/29PcJ9yL3Pvdd93r3l/ez99H37/gN+Cn4RPhg+H74nfi5+M/44Pjw+QX5IvlF+Wr5ivmg+a/5uvnD+cv50/nc+en5/PoR+h/6H/oU+gn6DPog+kD6Z/qY+uf7YvwE/LT9T/3B/hD+Uv6V/tX/BP8W/xD/Av73/un+x/6G/ij9wP1j/SD89/zi/N384/zz/Qv9J/0//VH9W/1k/XH9hv2h/b390v3d/eT97v3+/hX+Lv5F/lj+Z/52/oT+kv6f/q3+u/7H/tH+2f7k/vf/Ev8v/0X/T/9P/07/Wf9z/5j/vv/e//cADgArAE8AdgCXALAAxQDdAQIBLwFaAXgBgwGFAY0BqAHZAhYCUQJ/Ap4CtwLSAvcDIwNQA3gDmQO1A88D6wQLBC4ETwRsBIQEmwS2BNsFBwUzBVYFbAV3BXoFcgVTBRAEpgQpA7cDbQNWA2YDhwOrA9AD/QQxBGgEmQTCBOkFFwVKBXoFmgWqBa4FrwWuBagFnAWMBYEFegV2BWwFXQVLBTwFLgUbBP4E2QSwBIgEYQQ5BBED8APZA8gDtQOWA2sDPQMTAvEC0wK1ApICawI+AgsB1QGkAYABagFbAUQBHQDoALIAhwBsAGAAWwBSADsAFf/k/7n/n/+a/6D/ov+Z/4v/gv+D/4f/gf9s/03/Mv8h/xv/Hv8p/0P/af+R/6j/of9+/0v/GP7u/s7+uf6v/rH+uf6//rz+sf6l/p3+mf6P/nv+YP5H/jr+N/42/jD+Iv4Q/gD99/30/fP97v3g/cr9rv2U/YT9fP12/Wz9WP0+/ST9D/z//PT86/zj/Nz80vzD/K78l/yB/G78XfxJ/DH8Ffv7++X71fvG+7b7pvuV+4X7dvtp+177VvtQ+037SvtH+0P7P/s8+zb7Lvsh+xP7BPr3+u364vrW+sn6uvqs+qH6mPqU+pL6lPqZ+p76oPqf+pr6k/qN+on6iPqI+oj6hvqC+oD6fvp8+nv6efp3+nb6dvp1+nT6c/p1+nr6gvqL+pL6lvqZ+pz6n/qi+qL6ovqk+qr6tPq/+sr60vrZ+uD66Prx+vn6//sE+wj7D/sX+yD7Kfsw+zX7Ovs++0L7RftH+0n7TPtO+1D7UftQ+0/7TvtP+1H7UftQ+077TftN+0/7UvtW+1j7Wvtd+2H7ZPtp+277dPt6+3/7g/uH+4v7kfuW+5z7ovuo+7D7uPvB+8v71Pve++f77fvy+/X7+vwB/Af8DfwQ/BL8Fvwa/B78H/wf/B/8Ifwl/Cv8MPw1/Dz8RvxQ/Fn8Xfxh/GX8bPx2/H/8h/yO/Jb8oPyr/Lb8vPy//MD8wvzF/Mr8zvzS/Nb82/zh/Oj87vz1/P79C/0e/TX9Tv1m/X79lf2s/cL91f3k/e/9+P4A/gb+Cf4J/gr+Dv4a/iz+Qv5X/mr+ev6L/p3+sP7B/s/+3P7r/v7/E/8n/zf/Rv9W/2n/fP+M/5v/q/+//9f/7wAHAB4AOABUAHAAhwCXAKYAtgDIANoA6wD6AQ4BJgFBAVkBcAGJAacBxwHjAfUCAgISAikCRQJfAncCjgKrAssC6gMEAxkDMQNNA2gDewOJA5sDugPiBAgEIwQ2BEoEYgRwBGUEQAQWBAEEEAQ+BH4EywUrBZoGBgZRBnAGdAaGBsMHJgeOB9oIAAgLCAwICwgHCAEIAggSCDIIWAh5CI8IlQiJCGUIKAfYB4IHLwbeBooGOAXxBb8FogWMBXIFVwVFBUMFSQVFBSwFBgTnBNgE1gTSBMEEqgSbBJwEqgS5BL8EvgS6BLYErgSbBHYEPgP1A54DPwLgAocCOQHxAasBYgEaANgAowB8AGAASwA3ACQAEwAF//f/6v/b/8n/tP+e/4n/eP9q/1z/Tf87/yr/HP8R/wf+/v72/vD+7P7s/u3+7v7v/u7+6/7h/s7+tf6Z/n/+af5Y/kj+Of4p/hj+BP3q/cz9rv2U/YD9b/1d/Uv9O/0w/Sv9KP0k/SD9Hv0i/Sj9MP05/UX9WP1w/Yj9nv2z/cn95P4A/hr+MP5F/l7+ef6U/q3+xv7k/wn/Mv9Z/3j/kv+r/8r/8QAcAEwAfgC1AO4BJgFdAZABwQHwAhsCQgJoAo8CugLlAw4DNQNaA4ADpwPOA/UEHARGBHIEmwS+BNoE9QUVBTkFYAWGBawF1wYGBjcGZAaOBrYG4AcNBzUHWAd3B5YHuQfdB/0IGQg2CFkIfwiiCL0I0AjkCP4JGgkyCUMJUwlqCYsJrgnJCdgJ3wnlCeoJ5wndCdAJygnPCdkJ3gnbCdUJ0gnTCc8JwwmyCaMJngmcCZcJigl4CWkJYAlWCUkJOwk0CTQJOAk4CTIJKwklCR4JDgj0CNwI0AjSCNQIxgioCIoIfAh/CIMIdwhaCDkIIQgRCAcICggrCG8IwAjwCN0IlAhMCDwIbwi3B90H2AfAB7EHuwfaB/sIFAgpCD4ITAhGCCsICgf5CAUIJAhCCFEIVwhiCHkImAizCMUI0gjkCPwJFgksCT0JTgliCXgJigmWCZ0Jpgm3CdMJ+woqClwKigqvCscK1ArZCtwK4ArlCuwK8wr5CvoK8wroCuAK4wrzCw0LKQs/C00LVQtZC1wLYAtnC3ALfAuKC5YLnwuoC7ILwgvWC+sL/gwLDBUMHwwsDD0MVQxwDI8MrAzGDNwM7gz/DRANIQ0tDTINMg0wDTANNw1CDU4NWQ1fDV0NUg1BDTENKg0tDTUNOg04DS8NJQ0gDRkNDAz3DOAM0QzTDOMM9g0GDRENGw0pDT4NWw1/Da4N5Q4cDkoObw6SDsAO+g83D2YPfg+KD54PyBAGEEYQdhCPEJoQpBCzEMUQ1BDhEO4RAREeEUERYxF+EY0RjRF8EV0ROREaEQgRBBEGEQMQ+BDnENoQ2BDkEPYRAhECEPUQ5hDdEOAQ6hD0EPcQ8hDrEOgQ6RDvEPQQ9xD4EPcQ8xDrEOAQ0xDGELoQrhChEJMQhRB3EGwQYhBcEFUQTRA9ECMQAA/XD60Phg9hDz0PGQ73DtkOvg6lDosOcA5YDkYOOw4xDiMODQ3xDc8NrA2JDWUNQA0bDPgM2Ay7DKEMhwxuDFcMQwwvDBwMBwv0C+QL2QvSC8oLvQuqC5YLhAt2C24LawtqC2sLagtjC1cLRws2CykLHwsXCw0LAQryCuEKzgq5CqMKkQqBCnMKYgpNCjMKGAn8Cd8JwQmlCYwJewluCWIJVQlHCTkJLAkeCQsI8gjXCL0IpgiSCH4IaAhRCDsIJAgLB/AH1Ae6B6QHkQd9B2YHSwcuBxEG9QbbBsEGpQaJBmoGSwYsBgoF5AW4BYUFTgUZBOkEwwSlBI4EeARhBEQEIgP9A9gDswONA2QDOQMOAugCxgKlAoECWQIsAgAB1gGvAYgBXwE0AQcA2gCsAH0ATgAg//P/xv+Y/2r/O/8O/uH+tP6F/lf+Kf39/dH9o/1y/T/9DPza/Kv8fPxL/Bf74fut+3z7Uvst+wr65vrA+pT6Yfop+e35tvmJ+Wn5Uvk8+SL5Afjd+Ln4lfhv+Eb4Hff499n3uveY93H3SPcj9wP25fbH9qf2h/Zo9kv2LvYQ9fD10fW09Zv1hPVs9VP1OPUe9QX07/Tc9Mz0vfSt9J30jfR/9HL0ZvRa9E/0RvQ+9Df0MfQq9CP0G/QR9Aj0BPQG9A30FPQY9Bf0FvQZ9CD0J/Qr9Cv0KvQp9Cn0KfQo9Cr0L/Q39Dz0PfQ89D/0SfRV9F70X/Re9GX0d/SP9KL0qvSs9LH0wfTZ9O70+/UA9Qb1EfUh9TD1OfU99UH1SvVY9Wn1evWK9Zz1sfXI9eD1+PYO9iX2PfZW9m72hPaX9qn2u/bO9uL2+PcP9yn3Rvdj94D3nPe499b39vgV+DH4S/hm+IP4ofi9+NL44Pjs+P75HPlE+Wz5ivmc+af5svnB+dD52fnc+d/57PoC+hn6JPoh+hf6F/ok+jz6V/p3+rD7Fvuq/Fj8/v1//df+Fv5M/n3+o/64/r3+uf6v/pn+bf4l/cj9Z/0V/N38vPyt/Kv8tPzG/OH8//0a/S/9O/1D/U79X/11/Yr9mf2f/aT9rv3B/dv99v4O/iL+M/5D/lL+Xv5p/nX+gf6L/pH+mP6l/rz+2P7y/v/+//77/wD/F/88/2b/iv+k/7n/0f/wABYAOgBYAG4AgQCdAMQA8gEcATUBOQE2ATwBWQGOAcwCAQIkAjoCTwJxAqEC1wMJAzEDTwNoA4IDoAPAA98D/AQUBCcEPARaBIYEvQT1BR4FLwUqBRgFAATdBKcEWwQGA8EDpAO2A+oEKAReBIcEqwTSBPoFIAVBBWEFgAWeBbQFvAW3Ba0FpQWgBZoFjwWBBXUFbgVpBWAFUQU+BSsFGgUIBPAE0wSwBIsEZAQ8BBcD+APeA8YDqAN/A04DHALuAsQCmgJsAjsCCgHaAaoBewFSATUBJQEaAQgA6QC+AI0AYQBAACsAHgAQ//j/0f+f/2//UP9J/1L/W/9a/0//Qv87/zv/Of8x/yT/FP8G/vj+6v7g/uT++f8Z/zb/RP8+/yb/BP7c/rL+jv53/nH+ef6E/of+gv56/nX+c/5t/l3+Rf4r/hn+Ef4O/gf9+f3l/dH9xf3D/cj9zP3G/bP9lv14/WL9Vv1N/UL9L/0X/P385vzS/MP8uPyz/LH8rfyj/I/8d/xf/Ez8Pfwu/Bv8BPvr+9T7wfuw+6H7kvuF+3n7bPth+1b7TftG+0D7Ovs0+y77Kvsn+yL7GvsP+wD68Prg+tL6xvq9+rX6rfqj+pj6jfqE+n76fPp++oL6h/qK+or6hfp++nj6dPp0+nX6d/p3+nj6ePp3+nX6cfpu+mz6a/ps+m36bvpw+nT6efp++oT6ifqO+pP6mPqb+pz6nvqh+qf6sPq5+sD6xvrM+tL62/rk+u369fr8+wH7BvsO+xb7IPso+y/7NPs6+0D7R/tM+077T/tQ+1H7U/tV+1b7V/tZ+1z7Xvtf+1/7X/tg+2P7Z/tp+2v7bftv+3P7d/t7+377g/uI+4z7kPuT+5f7nvul+637s/u3+7z7wfvI+9H72/vk++z78fv1+/n7/vwG/A38E/wW/Bf8GPwa/B38IPwi/CP8Jfwo/C78NPw9/Ef8UfxY/F38X/xi/Gf8cPx6/IP8ivyQ/Jf8oPyq/LT8vPzE/Mv80/za/OD85Pzo/Ov87/z0/Pj8/P0A/Qj9Ff0o/UD9Wv10/Yv9of21/cb90/3a/d/95P3u/fv+B/4N/g/+Ev4c/jD+Sv5j/nf+hv6U/qP+tf7F/tL+3v7t/v//E/8m/zX/Q/9U/2f/ef+K/5j/qP+8/9X/7QAFABsANABRAG8AiACcAKwAuwDMAN0A7gD/ARQBKwFEAVsBcgGNAawBywHkAfYCBgIbAjYCUgJqAn4CkwKuAs8C7QMGAxwDNANQA2kDegOIA5sDugPfBAAEFgQpBEIEXwRtBF0EMQQEA/QEDQRCBH8EwAUOBXAF2wYxBl4GcAaJBsYHKAeOB9gH9wf6B/MH7wftB+0H7gf4CAwIJQg9CE0ITwg9CBIHzwd9BygG2gaRBkgGAwXKBaMFiwV1BVgFOAUkBSMFKwUoBREE7ATMBL4EvQS5BKgEkQSDBIYElwSnBK0EqgSlBJ8EkgRzBDoD6wOOAysCzAJ3Ai8B8gG6AX4BPAD4AL0AkABxAFsARgAyACEAEwAI//z/7f/a/8T/rf+W/4H/bv9d/07/QP8x/yX/HP8X/xH/Cv8B/vj+8/7z/vX+9/71/vD+6P7f/tL+wv6v/pz+if53/mb+Vv5F/jL+HP4C/eX9yf2x/Zz9if10/WD9T/1D/T39OP0x/Sv9KP0r/TL9Ov1D/U79Xv1z/Yn9nf2x/cb93/36/hT+K/5C/lv+eP6T/q3+xv7j/wb/Lf9S/3H/jf+r/8//+AAmAFgAjQDIAQQBPQFwAZ8BzQH7AicCUQJ5AqACyQLxAxgDPANfA4MDqQPPA/QEGQRABGgEjQSuBMwE6wUOBTUFXQWDBaoF1gYHBjgGZQaNBrUG4AcOBzoHXwd/B58HwQfhB/0IFQgwCFIIegieCLkIzgjjCP4JHAk2CUgJWQlwCZAJsQnKCdgJ4AnmCesJ6QnfCdMJzwnVCd4J4gneCdgJ1gnYCdUJygm4CakJogmfCZgJiQl4CWsJYglZCUsJOgkuCSsJLAktCSwJLQktCSYJEQjxCNUIygjOCNAIwAihCIgIhgiUCJYIeQhFCBoIEggvCFgIdwiICJcIpAicCGsIFQe+B5AHmgfAB1cHbweNB7sH9ggrCEkITwhMCE4IVQhTCEEIKAgbCCgIRghkCHQIfAiICKIIwgjeCO8I/AkQCS4JUQluCYEJiwmUCZ0JpwmyCb8J1Qn3CiIKUAp5CpoKsAq/CskKzwrVCtoK4QrnCuwK7wrsCuMK1grNCs4K3gr5CxoLNQtGC08LVAtbC2QLbwt7C4cLkwufC6kLsQu5C8UL1gvqC/4MDgwbDCYMMgxCDFcMbwyIDKEMugzRDOUM9Az+DQUNCg0NDQ8NEg0XDSANLA06DUcNTw1ODUMNMg0fDRQNEw0bDSUNKg0pDSQNHw0bDRMNBQzyDOQM4AzoDPYNAQ0IDRENIg0+DWANhQ2qDdMOAg42DmsOng7SDwkPQQ9xD48PoQ+0D9oQFxBeEJwQwBDOENEQ2RDoEPgRAxEJERERIRE9EV8RgxGjEbsRxhG+EaARcxFBERoRBRD/EP8Q/RD4EPUQ+xEKERoRIxEeEQ0Q+xDuEOsQ7hDzEPUQ9RD0EPYQ+hEAEQYRCxEPERARDhEJEQAQ9RDoENgQxxC0EKQQmBCOEIcQghB9EHgQcRBiEEkQJw//D9cPsA+KD2QPPw8dDwAO5g7MDrAOkw56DmgOXA5RDkEOKg4MDeoNxw2hDXsNUw0rDQcM5wzKDLIMnAyIDHcMZAxPDDcMHwwLC/4L9QvuC+ML0wvCC7ELowuYC5ALiguIC4cLhgt+C3ELYAtRC0cLQAs5Cy4LIQsTCwUK9grjCs4KuQqmCpUKgwpsClIKNwobCgAJ5gnOCbsJrgmlCZsJjQl8CWsJWwlKCTUJGwj+COQIzQi5CKUIjgh1CF0IRwgxCBkH/wflB80HuAejB4wHbwdRBzMHGQcCBuwG0ga0BpMGcAZMBiYF/AXKBZQFYAUzBRAE9wTiBMsErwSPBGsERgQjBAED3gO4A44DYwM7AxcC9wLVAq4CgwJXAiwCBQHeAbcBjgFkATsBEQDkALUAhQBVACj/+//N/5z/bP8//xP+6P66/or+Wv4t/gL91f2m/XT9Qf0Q/OP8tfyE/E/8F/vh+7L7iftl+0P7Hvr0+sX6j/pW+h757fnI+a35l/l/+WH5PfkX+PD4yvih+Hj4UPgs+A337ffI96D3ePdV9zr3IfcF9uP2vfaY9nj2XPZC9ib2CfXr9c71s/WZ9X71Y/VI9TD1HPUL9Pr06fTY9Mf0ufSt9KH0lfSI9Hv0cPRm9Fz0VPRO9Ej0QvQ59C70J/Ql9Cn0L/Qz9DT0NPQ39D30Q/RH9Ej0SPRI9Ej0R/RH9En0TvRV9Fn0WPRX9Fv0Z/R19H30ffR89IP0lfSr9Lz0wfTB9Mb01/Tv9QX1EvUY9R/1K/U79Ur1U/VW9Vn1YPVt9Xz1jPWa9an1uvXO9eb2APYZ9jH2R/Ze9nX2i/ag9rP2xPbW9un2/fcV9y73S/do94f3pPfA99v3+PgW+DT4UPhq+IT4n/i4+M743/ju+QP5IvlI+Wv5gvmM+ZD5mvms+cH50PnV+dj54vn3+hH6JPop+iX6Jfot+jv6Sfpb+n/6yvtE+9/8f/0J/XH9vP31/iP+Rv5e/mv+bP5g/kD+B/24/V79C/zK/KL8kPyO/Jb8ovyx/ML81fzp/Pv9CP0S/Rv9Kf07/U79Xf1o/XH9fv2R/an9w/3c/fP+B/4Y/iX+Lf4z/jv+Rf5O/lj+Y/50/oz+pP60/rb+sf6w/r/+4P8K/zH/T/9m/3z/lv+3/9j/9wASACgAQABdAIAApwDKAOAA6gDwAQEBJgFbAY8BswHCAcoB2wICAjwCfAKxAtgC8gMKAyUDQwNhA34DmQOzA9AD8gQgBFsEnQTYBP0FBATwBM8ErQSQBHEETQQoBBEEGQRGBIsE0gUIBScFOAVHBVsFdAWOBaYFuwXJBc8FywW/BbEFpAWYBYwFfAVqBVoFTwVGBToFKAUSBPwE6QTcBNEExQS0BJwEegRTBCwEBwPlA8IDmgNqAzYDAgLOApkCXwIjAeYBsAF/AVIBKAEGAO0A3gDTAMIApwCBAFYALAAH/+n/0P+5/5//ff9T/yj/Cf78/v//CP8N/wr/A/7+/vv++f72/vL+6/7h/tH+vf6r/qH+pf60/sX+0/7d/uH+3v7N/qz+fv5U/jr+Nf4+/kr+Uf5R/k/+TP5E/jX+H/4I/fb97f3q/eX92v3H/bL9ov2d/aD9pP2h/ZL9ef1e/Uf9Nv0p/Rr9CPzz/N78yfyz/J/8jvyF/IP8gvx7/Gz8Vvw//Cv8HPwO/AD77vvb+8b7s/uh+5L7hvt7+3D7Zfta+1D7R/s++zX7LPsi+xz7F/sU+w/7Bvr7+uz63PrM+r36svqq+qb6ovqc+pP6ivp/+nb6bvpp+mj6a/px+nb6d/pz+m36afpo+mr6bfpx+nT6dfp1+nL6bfpn+mP6Yvpj+mb6afps+m76b/px+nX6e/qD+ov6kPqT+pT6lfqY+p36pPqq+rD6t/q++sX6zfrV+t365/rx+vn7APsG+w77F/sf+yb7Lfs0+z37R/tP+1P7U/tT+1X7Wvte+2H7Yvtj+2X7aPtr+2z7bvty+3b7evt8+3z7fPt9+3/7gvuE+4j7jPuR+5b7mvud+6H7qfuy+7r7wfvE+8f7y/vR+9n74fvp+/D79fv6+//8BfwM/BP8Gfwb/Bv8GfwZ/Bv8Hvwi/CX8KPws/DH8OPxA/Er8U/xZ/Fz8Xvxj/Gr8dfyA/In8kPyV/Jr8n/yl/Kz8tvzB/M382fzl/O789vz8/QL9B/0L/Q/9Ef0V/Rv9J/05/U/9Zf14/Yr9nf2z/cn92/3k/eX94/3m/fD9//4M/hb+H/4s/kL+XP51/oj+lf6h/q7+vf7M/tn+5f70/wX/GP8o/zX/Q/9U/2f/ev+K/5j/qP+8/9P/6wABABgAMgBQAG8AiwChALIAwgDSAOMA9AEHARsBMgFIAV4BdQGQAa4BygHgAfMCBwIgAj4CWgJuAoAClAKxAtEC7QMEAxcDLwNMA2YDewOMA6IDwAPiA/4EEgQnBEMEYARpBE8EGwPvA+wEFgRXBJIEwgT5BUkFsAYQBlEGcgaQBsoHIgd/B8IH3QfaB9IH0gfaB+QH6gfsB+4H8AfxB/EH6QfTB6YHZQcYBswGiAZMBhMF3AWwBZEFfAVjBT8FGAT7BPME+AT4BOcEywSzBKgEpwSiBJIEfgRzBHkEiQSVBJcEkQSJBH4EZgQ0A+YDhAMdAr8CcAIvAfsBywGYAV4BHgDgAK0AiQBxAF0ASAAyACAAFAAMAAH/8P/a/8H/qP+P/3j/Yv9Q/0P/OP8v/yf/Iv8f/x3/GP8P/wX+/f76/vr++f7z/un+3v7W/s/+yf7B/rX+qf6b/ov+ef5j/kz+Mf4W/fv94f3L/bX9oP2J/XP9Yf1U/Ur9Qv05/TL9MP01/T79Rv1N/Vb9ZP12/Yn9nP2t/cL92f30/g3+Jf4+/ln+d/6V/rP+z/7u/xD/M/9V/3T/kf+y/9f//wAqAFkAjgDJAQcBQQF0AaIB0AIAAi8CXAKFAqwC1AL8AyIDRQNnA4kDrQPRA/QEFwQ6BF8EgwSkBMUE5wUOBTcFYAWIBbAF3QYNBj0GaAaOBrQG3gcMBzgHXweAB6EHwQffB/kIEAgqCEsIcgiWCLMIygjiCP8JHgk5CU0JXwl3CZUJsgnICdUJ3gnoCe8J7gnjCdYJzwnUCdwJ3wnbCdUJ0wnUCdIJyQm6Ca4JqAmjCZoJigl3CWoJYglbCU8JQQk1CS8JLAknCSMJIgkjCR0JCgjsCNEIxgjKCMoIvQioCJ8IrgjDCL8IjwhICBcIIAhZCJYIqwiNCFYIJQgBB9sHpgdrBz8HMgdAB28HiQe2B/MINAhjCHIIZAhOCEMIRwhNCEkIPwg8CEsIZwiDCJMInQisCMYI5wkECRkJKQlBCWMJiAmlCbQJtQmyCbAJtAnBCdsKAwo2CmwKlwqxCroKuQq4CrwKxQrQCtoK3wriCuIK3wrZCs8KxQrBCskK3wsACyILPQtOC1cLXAtkC3ALfQuLC5cLoQuqC7MLvQvJC9kL7QwBDBMMIQwrDDUMQgxTDGgMfgyUDKkMvQzPDN8M6wz0DPkM/Az/DQMNCQ0RDR0NKg03DUENRA09DS8NHA0NDQcNCw0UDRwNIA0eDRwNGQ0UDQsM/QzxDO0M9A0BDQ0NEg0UDRwNMQ1WDYINrw3ZDgEOLA5cDpQO0w8UD1IPgw+iD7IPwQ/jEB8QbhC7EO8RBhEIEQoRFBEmETcRQBFDEUcRUxFpEYMRnRG3EdAR4RHiEc0RoxFuET4RHREPEQwRDREPERIRGhEmETMRORE0ESYRFBEEEPkQ9BDyEPQQ+BD9EQQRCxEQERURGhEhESYRJxEkERwREBEAEO0Q2RDGELUQqhCkEKIQoBCfEJsQkRCAEGgQSBAkD/8P2A+yD4sPZw9HDysPDw7yDtQOtg6eDowOfg5vDloOQA4iDgEN3Q22DY0NZA09DRkM+QzcDMIMqwyaDIoMewxnDFAMOQwmDBoMEQwHC/kL6AvYC8oLvwu1C6wLpQuhC6ELnwuXC4cLdQtnC2ELXQtXC00LQAs0CysLIgsSCv0K4grJCrIKnQqHCm8KVwo/CikKFAoCCfIJ5gncCdAJwAmtCZkJhwl0CV4JRAkoCQ8I+QjkCM0IswiYCH8IaghXCEMILAgSB/gH3wfHB60Hkgd1B1oHQwctBxYG+gbYBrIGiwZjBjwGEQXjBbMFiAVkBUkFMwUcBQAE3gS4BJEEbQRJBCcEAgPbA7MDjANoA0cDJgMBAtgCrAKBAlgCMQIJAd8BtAGLAWUBPwEVAOYAtgCHAFsAMAAC/9D/nv9v/0P/GP7r/rz+jP5e/jP+B/3Y/ab9c/1E/Rf86/y8/Ij8Uvwd++/7x/uk+4H7Wvst+vr6wvqK+lf6LPoM+fP53fnD+aP5fflU+Sv5AvjZ+LL4jPho+Eb4Iff699H3q/eM93P3W/c/9xv28fbJ9qb2ivZx9lb2OfYa9fz14fXH9a31kvV49WL1UPU/9S31F/UB9O703/TU9Mr0vvSx9KT0l/SL9ID0dfRt9Gj0Y/Rd9FT0TfRJ9Ev0T/RR9FH0U/RX9F70ZfRp9Gn0aPRo9Gn0afRp9Gv0bvRx9HH0b/Rv9Hf0hfSU9Jz0nfSd9KT0tvTL9Nn03PTb9N/07vUE9Rj1JvUv9Tj1RfVV9WP1avVs9W71c/V99Yv1mfWn9bT1wvXV9ez2B/Yj9jz2UvZn9nz2k/ap9r720Pbi9vX3C/ch9zr3VPdy95H3rvfJ9+D3+PgT+DL4Ufhs+IT4mviw+Mf43vj1+Q/5LPlL+WX5c/l3+Xn5gfmU+av5v/nJ+dD53Pnw+gf6Gvoj+iX6Kfow+jj6PvpF+lr6j/rr+2f78fx0/OT9Pv2E/br94/4D/hj+IP4T/er9pv1S/P38tvyH/HP8dvyI/J/8sfy6/Lz8vPzA/Mn81Pzc/OT87vz+/RT9Kv09/Uz9Wv1r/X/9lv2v/cb92f3n/e798f3z/fr+Bv4W/ib+OP5M/mD+cP52/nP+bv50/ov+rf7S/vH/Cf8g/zv/Wf94/5T/rf/H/+L//QAYADIATwBtAIkAogC6ANcA/gEqAVIBaAFsAWoBcwGTAccCAQIzAlgCdgKSArMC2AL+AyIDRwNvA50D0wQPBE8EjAS7BNQE0wS/BKMEjQSABHgEcgRrBG4EhQS1BPUFMgVcBW0FbQVpBWwFeAWKBZoFpgWrBasFpQWcBY4FfwVtBVoFRQUwBR4FDgUBBPIE3wTIBLEEoQSZBJsEoQSjBJoEgQRcBC8EAAPSA6UDdwNGAxMC3gKlAmgCJQHiAaUBbwFAARUA7gDNALMAnwCIAGsARQAc//P/z/+u/5D/c/9Z/0H/KP8N/vD+1f7C/rj+tv64/rr+vP68/rv+uP6z/q7+p/6d/pL+hf58/nj+eP53/nT+cv59/pb+t/7M/sP+mv5g/ir+C/4F/g3+GP4e/h3+GP4P/gL98f3e/c/9xv3C/b/9uP2r/Zz9jv2G/YL9fv1z/WL9Tf05/Sn9G/0L/Pj85PzS/ML8sfyb/IP8bvxh/Fv8WfxU/Ej8N/wj/BH8APvy++T71/vK+7v7q/ub+4z7f/t0+2n7X/tW+077Rvs7+y77H/sS+wn7BPsA+vr68Prj+tb6yPq6+q36ofqZ+pT6kfqN+on6g/p7+nH6ZfpY+lD6UPpW+l/6Zfpn+mX6Y/pk+mj6bfpw+nP6dPpy+m/6avpk+l/6Xfpe+mH6Zfpp+mv6bPps+m76c/p7+oL6iPqJ+on6ifqL+o/6k/qZ+p/6qPqy+rv6wvrH+s/62frm+vL6+/sD+wr7Evsb+yP7Kvsx+zz7R/tQ+1X7VftW+1j7Xvtk+2j7avts+2/7c/t2+3j7e/t/+4T7ifuL+4r7h/uF+4X7h/uJ+4z7kfuW+5z7oful+6n7sPu5+8H7x/vL+8/71Pvb++L76Pvu+/T7+vwB/Af8DPwR/Bb8Gvwd/Bz8G/wa/Bv8Hvwj/Cj8LPwv/DP8OPw+/EX8TPxT/Fj8Xvxl/G78efyF/JD8mfye/KD8ovyl/Kv8tPy//Mz82Pzk/PD8/P0H/RD9F/0d/SH9JP0m/Sz9N/1I/Vz9cP2A/Y79oP25/dn99f4F/gT9+P3s/ev99v4J/h7+MP5C/lb+av58/or+lv6h/rD+v/7O/tv+5/71/wX/Ff8k/zL/Qf9S/2b/eP+H/5X/pf+6/9L/6gACABoANgBUAHIAjACiALQAxQDWAOgA+wENASEBNQFIAV0BdAGQAa0ByAHeAfECCAIjAkACWQJsAn4ClAKyAtAC5wL4AwgDHwM9A1sDdAOKA6UDxgPoBAIEFQQpBEMEWwRbBDcEAQPdA+kEJARsBKIEvwTeBRwFewXhBi8GYAaHBsAHEAdkB54HswewB6wHtAfJB90H5wfjB9MHvAekB4wHdQdYBy8G+Aa6Bn0GRwYXBekFvgWaBX8FagVNBSUE9gTSBMIEwwTGBL4ErgSeBJgElgSQBIIEcQRqBHAEfASDBH8EcwRkBE0EJQPhA4UDHwLDAnoCRAIYAewBuwGBAUIBAgDJAJ8AhABwAF4ASAAxAB8AFAANAAL/8f/a/8D/pf+K/27/Vv9E/zv/Nv8y/y3/Kf8n/yf/JP8c/xH/B/8B/v7++/70/uj+2/7T/s/+zP7I/sL+uv6x/qT+k/58/mH+RP4o/g799v3g/cr9tP2e/Yr9ef1r/WD9VP1I/UD9P/1D/Un9UP1W/V79bf1//ZL9ov2w/cD91P3t/gf+IP45/lX+c/6U/rX+1/75/xz/Pv9e/3z/m/+8/98AAwApAFIAgwC8APoBNQFqAZsBywH9Ai4CWwKFAq0C1gMAAykDTQNvA5ADsQPTA/QEFwQ8BGMEigSvBNIE9QUbBUMFawWSBbsF5gYVBkIGawaPBrQG3AcHBzIHVwd5B5oHuwfaB/QIDQgoCEkIbwiTCLAIygjlCQQJIwk+CVMJZwl/CZwJtgnKCdcJ4gnuCfcJ9QnoCdgJzwnSCdoJ3wneCdoJ2AnZCdgJ0AnECboJtAmuCaIJkAl9CXAJaAliCVoJUAlJCUUJQAk1CSgJHwkZCRIJAgjoCNEIxQjFCMYIwAi5CMMI4Aj7CPIIughsCDoIQwh3CKIIlwhWCAcH1wfVB+UH5gfJB5wHdwdoB78H0AfyCB0IRwhhCGMIUAg7CDMIOwhICE0ISwhMCFkIcgiLCJ4IrAi9CNcI9wkUCSsJQAlaCXwJnQmzCboJtAmpCaMJpwm6Cd0KEApKCn8KowqwCq4KqAqoCrIKwQrPCtYK1QrRCs4KzQrOCs4KzArLCtEK4Qr7CxsLOgtTC2ILawtxC3kLgguOC5sLpwuyC74LzAveC/UMDAwhDDAMOwxCDEkMVAxiDHMMhwyaDK0MvQzKDNQM3QzlDO4M+A0ADQcNDg0UDR0NJw0xDTgNOQ0yDSUNFg0LDQcNCQ0PDRQNFw0XDRYNEw0MDQMM+Qz2DPwNCg0bDSYNKQ0qDTINSQ1xDaYN3g4TDkAOaA6TDscPCA9RD5IPvg/TD9sP8BAjEHUQ0BEaEUERSRFEEUYRVhFrEXwRgxGIEY8RnBGtEbsRxRHOEdcR3xHcEcoRpxF8EVUROhEtESkRKBEnEScRKhEyEToRQBFAETgRKxEcEQ4RBBD+EP4RBBEMERMRGBEaER0RIREoES8RNBEyESgRGREGEPIQ3hDNEL8QthCxELEQsxC1ELIQqBCXEH8QYhBDECEP/Q/ZD7UPlA92D1gPOA8XDvYO2w7FDrQOow6ODnMOVQ42DhYN8w3MDaINeQ1RDS4NDQzuDNEMuAylDJgMjQx+DGsMVgxDDDQMKAwbDAwL/AvuC+IL2AvNC8ILugu3C7cLtAupC5cLhAt3C3MLdAtxC2oLXwtXC1ILSws9CyYLCArrCtMKwAquCpsKhgpyCl8KTQo9Ci0KHgoOCf0J6gnWCcIJrwmbCYUJbQlVCT0JJwkPCPQI1wi6CKAIjAh6CGgIUwg7CCEIBgfsB9IHuAeeB4YHbgdVBzoHGQbzBsoGoAZ4BlIGLQYIBeMFwgWjBYcFaQVIBSQE/gTZBLYElARwBEsEJAP8A9YDsgOQA24DSwMlAvwC0wKrAoQCXAIyAgYB2gGyAYwBZgE9ARAA4QC0AIkAXwAzAAL/0f+g/3L/Rv8Y/un+uv6N/mP+OP4K/dr9qf15/Uz9H/zx/MD8jfxc/DD8Cfvm+8P7m/ts+zf6//rJ+pn6cfpS+jj6H/oE+eP5vfmS+Wb5PPkV+PD4zPin+ID4WPgw+Ar35/fJ9633kPdv90n3IPb59tf2u/ah9ob2aPZJ9iz2EvX59d/1xPWr9Zf1h/V39WP1SvUv9Rj1B/T69O/05PTY9Mz0wfS09Kb0mPSM9IX0gfR+9Hr0dvR09HX0dvR19HP0dPR69IL0ivSM9In0hvSF9If0i/SP9JH0kfSQ9I70jPSO9Jj0pvS09Lr0u/S99Mb01/Tq9Pf0+vT69P31CPUY9Sf1NPVA9Uz1W/Vq9XX1evV89X71gvWL9Zf1pvW19cP10vXj9fn2FPYx9kr2YPZ09oj2n/a29sr23Pbv9wT3G/cy90n3YPd795n3t/fR9+b3/PgV+DT4Vfhz+In4m/iu+MT43vj6+RX5MPlH+Vn5Y/lo+W35dvmH+Zz5rvm7+cb50/nj+fP6AfoL+hX6Ifot+jT6Nvo3+kX6bPqx+xD7ffvv/Fr8uf0I/Uf9eP2f/b39yv29/ZD9SPzz/KT8afxL/Ej8X/yF/K38yPzP/MT8s/yo/Kf8rPyx/LX8vfzN/OX9Af0Y/Sj9Nf1E/Vb9bP2C/ZX9ov2p/ar9qv2u/br9z/3o/gD+Fv4o/jb+PP47/jf+Nv5C/lr+ef6U/qv+v/7X/vX/Ff8z/07/af+J/6n/xP/X/+b/+QAXAD4AZgCHAKUAxADoAQsBIwEqASQBHAEhATgBXwGNAb0B7AIaAkkCeAKoAtsDEgNOA4wDygQEBDYEXAR0BH8EgAR8BHoEfgSFBIwEjwSPBJQEpgTKBPkFJgVFBVAFSwVBBTwFPgVGBUwFTQVLBUgFRQVABTcFKAUVBQEE7wTeBM4EvgSuBJwEiQR1BGEEUwROBFUEZQR0BHkEbARNBB8D6AOwA3gDQgMOAtgCoAJiAiAB3AGdAWYBNwEMAOMAvQCbAH0AXQA3AAb/0f+e/3X/WP9B/yr/Ev75/ub+1/7L/r3+qv6V/oH+cv5r/mr+bf5w/nH+bf5n/mD+Wf5R/kr+R/5L/lP+V/5P/jz+LP4y/lb+kf7I/t7+xf6J/kH+CP3o/d393f3d/dr91f3P/cn9wP22/av9ov2b/Zb9j/2I/YH9e/13/W79Xv1H/S39Gf0N/Qf8//zx/N38xvy0/KT8lfyC/Gz8V/xJ/EH8PPw1/Cr8HPwM+/z76vva+8v7wPu5+7D7pfuW+4b7ePtr+2D7WPtS+037R/s8+yr7FfsD+vb68Prr+uP62PrL+r/6tPqq+p76kvqI+oD6e/p4+nb6dfpx+mf6WfpJ+j36OPo9+kb6T/pV+ln6Xvpk+mv6cfp0+nP6cfpu+mr6Zfpi+mD6X/ph+mT6aPps+nH6c/pz+nP6dfp4+nz6f/p/+n/6gPqD+oj6jfqS+pn6ovqs+rX6u/q/+sb60frf+u76+PsA+wj7Efsc+yb7Lvs2+z/7SvtT+1j7Wvtb+177Y/to+237cPt0+3r7gPuD+4X7hvuI+437kfuU+5P7kPuO+477j/uQ+5P7l/uc+6H7pvur+7D7tvu9+8P7yPvN+9P72/vj++r77vvz+/j7//wH/A78EvwV/Bj8G/wd/B38Hfwd/B/8Ivwm/Cr8Lvwy/Db8Ovw+/EL8SPxP/Fj8YPxn/G/8efyE/JD8m/yg/KP8pPyo/LD8uvzF/M381fze/Or8+P0H/RP9Hf0m/S39M/03/T39Rv1W/Wr9fv2M/Zf9pf29/d/+Av4Z/hz+Df36/fH9+f4Q/iz+Rf5X/mP+bP50/n3+iP6W/qf+uf7J/tf+4/7x/wD/D/8d/yz/Pf9Q/2P/c/+B/4//of+3/9D/6gAEAB8APABYAHMAigCeALEAxgDbAO8BAwEVAScBOAFJAVsBcgGOAasBxgHdAfMCCwImAkICWQJrAn8CmAK0As4C4QLuAv4DFwM3A1UDbwOHA6QDyAPqBAMEEwQjBDcERwRBBB4D7wPZA/EEMgR4BKQEtATDBPMFRwWqBf0GOwZxBrMHAgdKB3YHgAd7B34HkgexB8sH1QfLB7IHjgdlBz0HGAb0Bs8GpAZ0BkQGGAXvBcgFpAWFBWwFVQU2BQoE1wStBJgElwSdBJ4EmASOBIgEhQR9BHEEZARfBGQEbARvBGgEWARABBkD3AOJAykC0QKPAmUCSAImAfUBtQFtASQA5ACwAI0AeABoAFgARgAyACMAGAAOAAL/8P/Z/8D/pP+G/2f/TP87/zX/Nf80/zD/K/8p/yn/KP8i/xf/DP8E/wL/AP76/u/+4v7Z/tP+z/7L/sX+v/63/q7+n/6K/nD+VP45/iD+Cf3y/d39yP21/aT9lv2J/Xv9bf1g/Vf9U/1U/Vf9Wv1f/Wn9e/2Q/aP9sP25/cP90/3q/gT+Hv43/lL+b/6R/rT+2P78/yD/Qv9j/4L/ov/D/+YACQArAFEAfwC1APABKwFhAZQBxgH4AigCVQJ/AqkC1QMBAysDUQNzA5MDswPUA/YEGgRDBG8EnATFBOoFDQUvBVQFegWhBckF8gYdBkgGbwaUBrkG4AcIBy8HUQdyB5QHtwfYB/YIEggvCFEIdgiZCLgI0gjtCQsJKAlBCVUJaQmCCZ4JuQnOCd4J6wn3Cf0J+QnqCdkJ0QnVCd8J6AnqCeoJ6wntCe0J5wncCdEJxwm8Ca4JnAmLCYAJeglzCWsJZAlhCWIJXwlTCUEJMAklCRwJDgj5COII1AjQCM8IzwjUCOcJCAkgCRUI4AiZCGkIZgiACIsIbAgwCAUIEQhNCI8IpQiACDYH8AfGB/UICgggCDMIQghLCEoIQgg5CDkIQghKCEoIRAhBCEoIXwh5CJAIogi1CMwI5wkCCRoJMwlQCW8JiwmbCZ0JlgmOCY0JmAmxCdgKCQo6CmIKfAqGCooKkAqdCq8KvwrHCscKwQq8Cr0KxArQCtwK4griCt8K4QruCwgLKwtNC2gLdgt7C30LgwuOC58LsAvBC9EL4wv6DBQMLgxDDFAMWAxdDGMMagx0DIAMjgyfDLEMvwzIDM4M0wzbDOgM9w0EDQwNEQ0VDRwNJA0sDTINMg0sDSINFw0MDQQNAQ0DDQcNDQ0QDQ8NCg0CDPwM+w0CDRANIg0yDT4NRA1IDVINaQ2RDcsODw5RDocOrw7SDv4PPA+GD8sP+BAKEBUQMxB1ENMRMhFzEYwRiRGBEYURlhGpEbURuBG8EccR2BHpEfIR8hHuEecR3RHMEbERkRFxEVoRTRFJEUcRRBE/ETwRPBFAEUcRTRFPEUoRQRE0ESgRHhEZERgRGxEgESURKBEnESYRJREoES0RMBEuESQRExD/EO0Q3hDSEMcQvRC2ELQQthC7ELwQtxCpEJQQexBeED8QHg/8D90Pvw+hD4EPXg86DxsPAg7wDt8OyQ6tDowOaw5LDisOCA3hDbcNjg1nDUMNIQ0ADOIMyAy2DKoMoQyVDIYMcgxfDE0MPQwvDCAMEgwEC/gL7QvgC9QLywvGC8QLwAu1C6ULlAuJC4cLiguMC4kLggt8C3cLbwtgC0gLLAsTCwEK9AroCtkKxgqxCp0Kigp4CmYKUQo7CiYKEQn9CeoJ1gnCCawJlgmACWkJUAk1CRgI/AjhCMoItgiiCI4IeAhhCEgILwgWB/wH4wfKB68HlAd2B1UHMQcKBuIGugaUBnEGUQY0BhgF/QXeBbwFlQVrBUEFGgT5BNoEugSXBHAESAQhA/0D2QO1A5ADaQNDAx0C+ALTAq4ChwJdAjICCAHeAbcBjwFlATgBCwDfALQAigBeADAAAf/S/6T/dv9F/xX+5v66/pD+Zv47/g393v2u/X/9UP0h/PH8w/yX/G78R/wj+/370/uk+3D7O/sI+t36uPqY+nz6YPpC+iD5+vnO+aH5dvlP+Sr5Bvjg+Lf4jvho+Eb4JvgH9+X3wfeb93X3UPct9w328PbT9rb2mPZ69l72Q/Yq9g/19PXc9cn1ufWp9ZX1e/Vf9Ub1M/Uk9Rj1DfUC9Pn07/Tj9NP0wvSz9Kn0pPSi9KD0n/Sf9KD0n/Sb9Jf0lvSc9KT0q/Ss9Kf0ofSg9KT0rPSz9Lb0tvS09LH0sPS09Lz0x/TQ9NP01PTY9OP08/UE9Q/1FPUW9Rr1IvUs9Tf1QvVO9V31bfV69YP1h/WK9Y31kvWa9aX1tPXE9dT15PX19gr2I/Y+9lf2bfaC9pj2sPbG9tj26Pb59w73J/c/91T3afeA95z3uvfX9/D4Bvgf+Dz4XPh5+I/4oPiw+MX43fj4+RP5LPlA+VD5Wvlh+Wf5cvmA+Y/5nfmq+bb5xPnR+dz55Pnu+f76Evol+i/6L/ot+jf6VvqN+tj7L/uN++z8SPyY/Nr9Df01/VL9Xv1O/R/82fyL/Ej8HfwN/Bn8Pfxw/KP8xvzP/MD8qPyV/Iz8i/yL/Iz8kvyi/Lr81fzq/Pj9BP0T/Sf9Pv1R/V79ZP1k/WT9Z/1y/Yf9pP3D/d798/4A/gb+Bf4A/fv9/f4L/iP+P/5Y/mz+f/6W/rH+z/7u/xD/Nv9g/4T/mv+i/6b/tf/WAAMALgBMAGAAdQCVAL0A4ADtANwAtwCTAIcAnwDZASkBfAHFAf8CMAJkAqIC6QMzA3gDsAPYA/ED/gQDBAgEEwQnBEEEXARwBHgEdgRvBGwEdASKBKoEzATnBPUE9gTwBOkE5ATfBNgEzwTGBMAEvQS7BLQEqASZBIwEgwR9BHUEaQRZBEYENAQiBBAEAwP9BAMEEwQoBDgEOQQnBAEDzAOOA00DCwLLAokCRgIAAboBeQFBARMA6gDCAJsAdQBSAC8AB//W/5v/Xv8q/wX+7v7d/sz+t/6j/pL+iP6D/n3+cv5h/kv+Nv4o/iH+IP4h/h/+HP4Z/hf+Ff4S/g7+Df4T/h7+JP4e/gv99/34/hn+Vv6Y/sH+v/6V/lT+FP3i/cL9rf2f/ZX9jv2K/Yr9iv2K/Yj9hP1+/XX9av1h/V39X/1h/Vr9Rv0n/Qb87/zm/Of85fza/MX8rfyY/If8efxo/Ff8SPw8/DP8Kvwe/BH8A/v1++b71PvB+7H7p/uj+6D7mfuN+337bftf+1P7TPtI+0b7Qvs3+yX7Dfr3+ub63frW+s36wfq0+qn6oPqZ+o/6hfp5+nD6afpm+mX6Zfpi+lr6Tfo++jH6Kvos+jL6OfpA+kj6U/pg+mv6cvpz+nD6a/pl+l/6W/pa+lz6YPpk+mj6bPpx+nf6fPp++n36evp5+nj6ePp5+nr6fvqF+o76lfqa+p/6pfqs+rP6uPq9+sT60Prd+uv69fr9+wb7Efse+yr7M/s6+0P7TftX+1/7ZPtn+2r7bvty+3b7evuA+4b7jfuQ+5D7j/uP+5L7lvuZ+5r7mfuZ+5r7nPud+5/7ofuk+6j7rfuy+7j7vfvC+8b7yfvO+9b73/vp+/D79Pv4+/38BPwM/BL8FvwZ/Bv8Hvwf/CD8IPwh/CT8KPwr/C38L/w0/Dn8QPxF/En8TvxV/F78Zvxs/HD8dfx+/Ij8kfyX/Jr8nfyl/LL8wPzL/NH81vzc/Of89v0E/RL9Hf0q/Tf9RP1N/VT9Xf1r/X39kf2e/ab9rf27/dT98v4L/hX+D/4F/gH+Df4k/kH+WP5m/mv+bP5u/nX+gP6Q/qL+s/7D/tL+4P7u/v3/C/8Z/yn/O/9N/17/bP96/4n/nf+1/87/6QADAB8APABYAHEAhwCbALEAyQDhAPcBCgEbASwBPAFMAV4BcwGMAagBwwHdAfUCEAIsAkcCXgJyAoYCngK5AtAC4gLzAwkDKANJA2UDegOOA6cDxwPmA/oEBgQSBCMEMQQuBBMD8wPpBAgERwSHBK0EvATMBPYFPwWTBeEGJgZsBrsHCAc8B0sHPgcwBzoHXQeHB6QHqQeaB34HWwczBwgG3ga3BpMGbgZFBhsF8wXNBasFjAVyBV0FRgUlBPcEwQSTBHoEdwSABIgEiASCBHsEdARtBGIEWARTBFQEWwRfBFwETAQrA/MDogNBAuQCngJ4AmgCWgI5Af0BrQFXAQgAyACZAHoAaABdAFIARQA4ACoAHgAQ////6v/U/7z/ov+D/2P/R/82/zD/MP8v/yr/Jf8i/yP/I/8f/xX/Cv8E/wP/Av79/vP+5v7b/tT+z/7K/sT+vf62/q7+ov6R/nr+Yv5J/jH+G/4G/fL93/3O/b/9sf2i/ZP9hP13/W39af1o/Wn9a/1w/Xz9jv2j/bT9v/3F/c392/3w/gj+Iv47/lX+c/6U/rf+2/7+/yH/Q/9j/4T/pf/I/+wAEAA0AFoAhgC5APABKAFeAZIBxAH1AiUCUgJ/AqsC2AMCAyoDTgNwA5IDtQPZA/0EJARPBH4ErATWBPoFHAU+BWMFigWxBdgF/wYoBlEGeQafBsUG6wcQBzIHUgdyB5UHugfeB/8IHgg9CGAIhAimCMMI3Qj2CRAJKgk/CVEJYwl7CZgJtgnQCeUJ9An/CgMJ/AnuCeAJ2wngCewJ9Qn4CfoJ/goDCgUKAAn1CegJ2gnLCbsJqgmdCZYJkgmMCYMJewl4CXoJeglxCWAJTglDCTwJMwkiCQ0I/AjzCPAI8Qj2CQQJGAkjCRQI6AiwCIgIfQiACHgIXAhCCE8IkQjuCS8JKQjdCHMIHAf0CB0IOwhHCEYIQQhBCEMIRQhFCEUIRQhDCDsIMggwCDsIUghsCIIIkwigCLEIxgjeCPkJFgk2CVQJawl4CXoJeAl5CYQJmwm8CeMKCQopCkEKUApcCmwKggqaCqwKtQq0Cq8KqwqsCrMKwArSCuQK8Ar1CvEK6grrCvsLGgtBC2MLeQuBC4QLiguZC64LxAvXC+cL+gwRDC0MSAxdDGkMcAx1DHsMgQyIDI4MlwykDLMMwQzKDM8M1AzdDOoM+Q0EDQoNDQ0SDRoNIw0rDSwNKQ0jDRoNEA0FDPsM9Az1DPsNBA0JDQYM/wz4DPkNAg0TDSUNNw1GDVMNYA1sDXsNkw26DfUOQA6MDsgO8Q8PDzcPcw+/EAUQMhBGEFUQfBDHESgRghG4EccRvxG4Eb8R0BHcEd0R1xHTEdkR6RH6EgYSCxIKEgER7xHSEa4RihFvEWERXRFeEV4RWxFYEVcRWhFgEWcRaxFqEWMRWRFOEUcRQxFCEUERQBE/EUARQRFAETsRMxEsESkRKBElER0RERECEPYQ7RDmENwQ0RDFEL0QvRDBEMUQxBC7EKsQlRB6EFwQPBAcD/8P4g/FD6QPgQ9hD0cPMw8gDwoO7g7LDqcOhA5jDkEOHA30DcsNow19DVkNNw0XDPoM4gzPDMIMtgypDJoMiAx1DGIMUgxDDDYMKAwaDAwL/wvyC+QL2QvQC8sLxgvAC7YLrQumC6ULpwuoC6cLowueC5cLjgt/C2oLVAtBCzYLLwsnCxoLBgruCtcKwgquCpkKgQppClEKPQoqChcKAwntCdcJwgmrCZIJdglYCTwJJQkSCQAI7AjVCLsIogiKCHQIXAhDCCgIDQfwB9IHsQeOB2sHRwckBwAG3Aa5BpkGewZhBkYGKgYLBeYFvQWRBWcFQQUgBQEE4AS8BJUEbgRJBCYEAgPaA7EDiQNiAz8DHQL6AtQCrgKGAl8CNwIOAeQBuQGOAWMBNwEMAOAAswCGAFoALwAE/9f/qP94/0f/F/7r/r/+lP5o/jv+Df3e/a79ff1N/SD89vzP/Kj8gfxY/C/8AvvS+6D7bvtC+xz6/Pre+sD6ofqA+lz6NfoK+d35svmK+WT5PvkV+Ov4w/ig+ID4Yfg/+Bn38ffL96j3h/dm90X3JPcE9uT2xvap9o32cvZY9j72JPYN9fr16fXW9cD1pvWL9XP1YPVQ9UP1OPUu9Sb1HfUQ9P/07fTd9NL0zPTI9Mb0xPTD9MP0wfS99Lj0uPS99MX0zPTN9Mj0w/TB9Mb0zfTU9Nf01vTU9NL00/TX9N305PTo9Or07PTz9P71DfUa9SP1KfUu9TX1PfVE9Ur1UvVe9W31ffWJ9ZH1lvWa9Z71pPWq9bT1wfXQ9eH18fYC9hf2MPZK9mP2evaQ9qf2wPbW9ub28/cB9xT3LfdH91z3b/eE9533vPfc9/j4EPgo+EL4Xvh5+I/4oviz+Mb43Pj1+RD5K/lD+VP5W/ld+V/5Zvly+X/5jfmZ+af5tvnE+c350vna+er6AfoY+iX6Jvoi+if6P/pq+qb66/s6+4774/wx/HH8ovzE/Nj82fzD/JT8VvwZ++v71PvT++n8EvxG/Hv8oPys/KD8ivx1/Gn8ZPxh/GD8ZPxy/Ij8n/yx/L/8zPze/Pb9DP0d/SX9J/0o/Sz9Nv1I/WH9gP2d/bX9w/3J/cj9wv28/bn9vf3M/eb+Bf4k/j7+Uv5j/nX+jv6v/tv/Dv89/17/bP9u/3L/hf+p/9P/9QAHABAAIABAAGoAigCLAGIAHv/d/8P/5wBHAMcBQwGgAdkB/wIqAmkCuQMLA04DeAOLA5IDkgOWA6ADtgPWA/sEGgQrBCwEIQQVBBAEEwQhBDcEUgRrBH8EiQSIBIAEcwRjBFEEPwQwBCYEIAQcBBUECgP+A/gD+AP9BAED/gPzA+QD0wPDA7QDpgOeA58DqgO9A9ID3wPdA8YDmwNfAxgCzAJ9Ai0B3QGOAUUBBgDSAKcAgABaADMADf/p/8P/mP9m/zD+/f7T/rX+of6Q/n/+a/5Z/kn+P/44/jH+Jv4X/gX98/3m/d792f3V/dD9zP3L/c/91f3Z/df90/3T/dj93v3e/dX9xv3B/dH9+P4q/lP+Zf5Z/jX+B/3Y/bD9kP13/WX9Vv1M/Ub9Rf1K/VL9XP1g/Vv9T/1B/Tn9O/1A/T/9L/0R/O/81vzM/Mz8zPzC/K78lvyA/G/8YfxT/Eb8O/wx/Cf8GPwH+/X75vva+8z7uvul+5T7i/uJ+4n7hft8+237XPtO+0L7Ovs2+zP7L/sm+xb7Afrr+tn6zPrC+rf6q/qe+pT6i/qE+nz6dPpt+mb6YPpb+lj6VvpT+k36Q/o4+i36Jvok+iX6J/ot+jb6RPpU+mD6Zvpn+mL6XPpU+k36SPpJ+k76V/pf+mX6afpu+nX6e/p/+n/6e/p3+nX6dfp1+nj6fvqH+pP6nfqk+qj6q/qw+rb6u/rB+sn60/rf+ur68/r7+wX7EPsc+yf7L/s2+z/7SvtX+2L7a/tx+3f7fPuA+4T7iPuM+5H7lvuY+5f7lvuW+5j7nPuf+6D7ofui+6X7qPuq+6v7rfuu+7L7tvu8+8L7x/vL+8370PvU+9z75fvu+/X7+fv+/AP8CvwQ/BX8Gfwd/CL8JPwl/CP8Ivwl/Cr8L/wy/DH8Mfw1/D38RvxO/FT8Wfxg/Gn8cPx0/HX8dvx6/ID8h/yL/I78lPyf/K/8wPzM/NP82fzh/O38/P0K/RX9IP0v/UH9VP1k/XD9ef2F/Zb9qf23/b79wP3E/c/94P3z/gD+B/4L/hP+I/45/lD+Yf5r/m7+cP51/n7+i/6a/qn+tv7D/tH+4f7x/v//C/8Y/yb/Nv9H/1f/Zf90/4b/nf+1/87/5wAAABsANwBTAGsAgQCXAK8AyADgAPUBBwEXASgBOgFMAV8BcwGLAaQBvgHYAfMCEQIvAkwCZAJ5Ao0CogK5As4C4wL7AxoDPgNhA3oDigOYA6sDxAPaA+oD9gQGBBwELwQxBCAECQQIBCoEZwSmBNME7wULBTYFcQWxBe8GMwaDBtcHGAcsBxAG4AbFBtcHDAdFB2cHaQdVBzoHHgb/BtoGsgaLBmYGQQYaBfEFywWrBY8FeAVjBU8FOQUaBO8EvASOBHIEawR0BH4EgQR7BHMEawRkBFwEUwRLBEkETgRWBFgESgQiA9oDeQMPArUCewJkAl8CUwIuAe0BmAFAAPEAswCHAGoAWwBTAE0ARQA6AC0AHgAM//f/4f/K/7T/m/9//2D/Rf8z/yv/KP8k/x7/F/8U/xX/Fv8T/wz/BP8A/wD+/v74/uz+3f7R/sr+xv7B/rz+tv6x/qv+o/6W/oP+bv5Y/kL+Lf4a/gn9+P3o/dj9yf26/av9nP2Q/Yf9g/2D/YX9if2P/Zn9p/24/cb90f3Z/eP98f4E/hn+L/5H/mH+f/6h/sT+5v8H/yn/Sv9s/43/rv/R//QAGAA9AGIAiwC5AOwBIQFXAYwBvwHwAiACUAKAArAC3QMGAyoDSwNuA5QDvQPnBA8EOARiBI0EuATgBQMFJQVIBW8FmAXABecGDgY2Bl8GhgatBtEG9AcWBzUHVQd2B5sHwgfnCAkIKQhJCGwIkAixCM0I5Aj6CRIJKAk8CUwJXQl0CZIJswnSCewJ/goJCgsKBQn7CfIJ7wn0CfoJ/gn/CgIKCAoPChIKDgoECfYJ6QnaCcoJugmwCawJqgmmCZ4JlgmTCZQJlAmMCXwJbAliCV4JWQlOCT0JLQkjCR0JGQkVCRMJEwkOCPsI2gi3CJ8IlgiSCIcIdwh1CJgI3QkiCTkJCwipCEQICAgCCFEIZwhiCE0IOwg1CDkIPQg9CDgIMggsCCkILAg5CFAIbAiECJEIlQiWCJwIrQjHCOgJDAktCUgJWgljCWcJawl3CY4JrgnUCfgKFQonCjEKOQpICl8KewqSCp4KngqaCpgKnAqlCq4KuArECtYK6wr9CwULAgr+CwILFgs4C1wLeQuKC5QLnguuC8QL2gvsC/sMDAwjDEAMXAxwDHwMggyHDI4MlgycDJ8MogyqDLYMxAzQDNkM4QzqDPUM/g0CDQMNBQ0NDRgNIg0mDSINGg0SDQsNBQz9DPQM7gzwDPgNAQ0EDP4M9QzyDPoNDQ0kDTgNRw1VDWYNfA2UDawNyQ3xDisOdQ6/DvwPJw9KD3YPtQ//EEAQaBB8EJAQvxENEWsRuhHmEe4R5hHjEe0R/BIDEfwR7RHfEdsR4BHsEfsSChIVEhYSCBHqEcQRoBGHEXoRdhF1EXMRchFzEXgRfxGIEY4RkBGMEYMReRFyEXERdRF4EXcRcRFqEWYRZRFiEVoRTBE8ES8RKhEpESYRIREYERERCxEGEP8Q8xDlENoQ1BDTENMQ0BDJELsQqRCTEHgQWxA+ECEQBA/mD8YPqQ+RD30Paw9VDzcPEg7rDsYOpA6BDlsOMw4KDeMNvg2aDXYNVA00DRkNAQzsDNkMxgy1DKQMlAyDDHMMZAxWDEgMOwwsDB8MEwwHC/sL7QvhC9cL0QvRC9EL0QvPC8sLyAvEC8ELvQu4C7ILqwugC5ILggt0C2oLYgtaC0wLOAsfCwcK8QrcCscKsAqZCoIKbgpbCkgKMwocCgUJ7gnVCboJnAl+CWYJVQlICTkJJAkJCOsIzwi3CKAIiAhtCFAIMAgQB+0HyQekB4IHYQdCByMHAwbkBsUGpwaKBmsGTAYqBggF4wW8BZUFbwVMBSsFBwThBLkEkgRuBEsEJgP/A9UDrQOIA2UDQwMeAvYCzwKpAoUCYQI5Ag4B4gG3AY0BZQE7AQ0A3gCvAIQAWwAzAAj/2v+r/33/UP8j/vX+xf6W/mf+Ov4L/dv9qv17/VH9LP0I/OP8uvyO/GD8MfwB+9D7ovt6+1j7PPsh+wP64fq8+pT6bPpC+hj57vnG+Z75dvlM+SL4/Pja+Lr4mPhy+Er4Ivf/9+D3wfef93r3VPcx9xL29fba9r32ofaG9m72WPZE9jL2HfYH9e310fW39aD1jfV99W/1YvVY9VD1RvU49Sb1E/UD9Pn08/Tu9On05fTh9OD03vTc9Nr02/Tg9Oj07/Tx9O/06/Tq9O308vT19Pb08/Tw9O/08PT19Pr0/vUA9QL1BvUP9Rr1J/Uw9Tb1PPVE9U71VvVc9V/1ZfVv9X71jfWZ9aH1pvWr9bD1tfW69cP1z/Xe9e31/fYP9iT2PvZa9nP2ifad9rP2y/bh9vH2/fcK9xz3NPdO92b3e/eP96b3wvfg9/z4Ffgs+EP4W/hz+Iv4ovi2+Mr43vj1+RL5MvlP+WD5YvlZ+VH5U/lf+XD5gPmO+Zz5rPm7+cb5y/nP+dr57voF+hb6GvoY+hj6JPpB+mv6ofrg+yj7dPu9+/v8J/xD/E38Rfwr/AH71Puv+5v7mfum+8D75PwQ/D38Xvxq/GT8U/xD/Dr8Nfwy/DD8Mvw9/FD8Zfx4/Ij8m/yw/Mf82vzn/O388fz3/QH9EP0k/Tz9Vv1u/X/9hf2C/Xz9dv1z/XX9f/2S/a/91f37/hr+Lv45/kT+Wf5//rH+5f8O/yX/Lv80/0X/Yv+H/6X/tv+9/8P/0v/q//8AAP/h/6T/XP8q/zD/fwAMALIBRAGiAcwB3wH+Aj0ClALrAycDQQNEA0ADQQNMA18DdgOQA6cDtgO4A7ADowOaA5oDoQOtA70D0APmA/oEBwQIA/wD6APRA7kDpAOTA4YDfANzA2cDWANKA0QDSANTA2EDaANoA2ADVQNIAzwDMAMnAyIDJgMzA0YDVgNcA08DLgL4ArMCZAIRAb0BaQEaANIAlQBiADUADP/l/7//m/93/1H/J/77/tD+rP6Q/nr+Zf5Q/jv+KP4Y/gv9//3y/eP90/3D/bP9pv2c/Zb9kv2N/YX9ff15/X39hv2O/ZH9j/2M/Y79lP2b/Zv9k/2I/YP9i/2h/b792P3l/eD9zf2x/ZT9e/1l/VD9Ov0i/Qv8/Pz7/Qf9G/0t/TX9Mf0m/R39G/0f/R/9E/z6/Nz8xPy4/LX8sfym/JP8fvxq/Fr8TfxB/DX8Kvwe/BD7/fvn+9P7xPu5+677n/uM+3z7c/tw+3D7bPti+1T7Rfs4+y77Jvsf+xn7E/sL+v/67/rd+sz6vfqv+qP6lvqK+n/6dfps+mX6YPpe+lv6V/pR+kr6RvpD+kD6PPo0+iz6Jfog+hz6G/od+ib6Mvo/+kj6S/pJ+kb6Q/o++jr6Nvo2+jz6R/pR+lj6Xfph+mf6bvp0+nX6dPpz+nL6cvpz+nT6efqB+o36mvqk+qv6sPq1+rz6w/rJ+tD62Prh+uv69fr++wf7EPsa+yL7KPsv+zf7Q/tR+177aPtx+3j7gPuH+437kfuU+5f7mfua+5r7m/ud+6H7pfun+6n7qvur+677sfu0+7b7uPu7+777wvvH+8z70fvV+9j72/vg++f77/v2+/z8APwF/Ar8EPwV/Bn8Hfwi/Cj8K/wp/Cb8JPwn/C/8Nfw4/DX8M/w1/D38SfxT/Fr8X/xm/G/8d/x8/H38ffx+/IL8h/yL/I78lPye/K38vPzI/NH82vzo/Pn9Cf0X/SD9Kv03/Un9Xv1x/X/9iv2V/aX9tv3I/dT92/3e/eH95v3t/ff+Av4P/h7+L/5A/lD+Xf5n/m7+dv6B/o7+nP6q/rT+vv7I/tX+5f71/wL/DP8V/yH/MP9A/1D/YP9y/4j/oP+5/9H/5v/9ABYAMABKAGIAdwCNAKQAvADSAOUA9gEIAR0BMgFIAVwBcQGHAZ4BtwHQAewCCgIrAkkCYwJ5AosCnAKuAsEC1QLvAw8DMwNUA20DfwOQA6QDuwPOA98D8gQNBC0ERgRJBDYEIgQkBEsEjQTSBQoFNQVdBYkFuAXlBhQGUQagBu8HGwcLBscGegZUBm4GtQb/BykHKwcWBvsG4gbHBqcGgAZYBjIGDAXlBcAFoQWKBXgFZQVPBTcFHwUGBOcEwwSfBIQEeQR7BIAEfwR3BGwEZQRiBF4EVgRMBEYESARRBFQEQwQSA74DUgLlAo0CVgI9AjECHgH3AbsBcAEkAN0AowB5AF4AUQBLAEcAPwAzACUAFAAC/+3/1//A/6n/kP90/1j/Pv8s/yH/G/8V/w3/Bv8C/wL/Av8B/v7++v74/vf+8/7q/tz+zf7B/rn+tP6w/qv+p/6m/qX+ov6b/o7+fP5o/lT+Qv4x/iL+Ev4C/fP95v3a/c/9xP24/a/9qv2q/a39s/25/cD9yf3U/eH97f35/gf+Ff4l/jX+Rv5a/nP+kP6v/tD+8P8R/zP/WP98/57/v//e//8AIgBFAGcAiwCzAOEBFQFMAYIBtgHnAhcCSQJ9ArAC4AMIAywDTQNzA50DywP5BCQETgR3BKAEyATsBQ8FMgVXBX8FqAXQBfYGHQZFBm0Gkwa2BtYG9gcVBzUHWAd8B6MHywfwCBIIMQhSCHUImQi5CNQI6Qj+CRQJKgk/CVAJYQl3CZQJtwnYCfQKCAoTChYKFAoPCgsKCQoICgYKAwoBCgMKCgoSChUKEAoHCf4J9AnqCd0JzgnCCb0JvQm8CboJtwm1CbUJsgmoCZcJhgl6CXUJcQlqCWAJVQlNCUUJOwktCR0JDwkBCPEI3gjPCMYIxAjCCLcIpwigCK4IyQjbCMkIkAhGCBEICQgoCHMIcghaCDwIJwghCCUIKAgmCCEIHQgfCCoIQQhgCIUIowi0CLIIowiVCJQIpgjHCPEJGgk7CVEJXQliCWcJcgmFCaEJxAnoCgcKHAonCisKMgpAClYKbQp+CoMKgQqBCokKmAqmCqwKrQqwCsAK3gsACxkLIQscCxcLHgs2C1gLewuVC6YLsgvCC9UL6gv9DA0MHww3DFMMbgyCDI0MkgyWDJ4MpwyvDLIMswy4DMIM0AzeDOsM9Qz+DQQNBg0EDQENAg0KDRQNHA0bDRINCA0BDP8M/gz7DPUM8gz1DPwNAw0BDPkM8QzxDQANGQ0zDUYNVA1iDXcNlg26DeEOCg44DnAOrg7sDyEPTw9/D7kP/hBEEHkQmRCtEMoRARFSEacR5xIFEgcSARIBEgwSGhIgEhkSChH5Ee0R6BHsEfYSBhIUEhkSEBH4EdsRwBGtEaIRmhGUEZARjxGTEZkRoBGlEacRqBGmEaMRoBGhEacRsBG0EbARpRGWEYsRhRF/EXURZBFREUMRPRE9ET4ROxEzESsRJBEeERcRDhEEEPoQ8RDqEOIQ2BDNEMAQsxCjEJAQehBhEEUQJxAID+sP1A/ED7YPpA+ID2IPOQ8RDu0OzA6nDn0OUg4pDgUN5A3BDZwNdg1UDTcNHw0GDOwM0wy8DKoMmwyNDH8McQxjDFYMSQw9DDQMLAwlDBwMDwv/C/IL6wvsC/EL9Qv0C+4L5gveC9gL1AvRC88LzQvJC8ELtQunC5kLjguDC3ULYgtLCzMLHAsHCvIK3QrGCrEKngqLCnYKXgpFCiwKFQn9CeQJyAmuCZkJigl8CWsJUwk0CRUI+AjgCMgIrgiQCHAITQgqCAYH4Qe+B50HfwdjB0cHKQcMBu8G0QaxBo0GaQZGBiUGBQXjBb8FmgV2BVMFLwUJBN8EtQSOBGoERgQhA/sD1AOvA4sDZwNAAxcC7wLLAqkChgJgAjUCCQHfAbgBkQFoAToBCwDdALEAiABfADMABv/a/6//hv9c/y3++/7J/pj+av47/gv92/2t/YX9Yv1A/Rr88PzB/JP8Zfw3/Ar73vu2+5X7efte+z77Gfrv+sT6mvpz+kz6Jfn8+dP5qfmA+Vv5OPkX+PX4zvil+Hv4Vfg2+Bn3+ffV96z3hvdk90j3LvcS9vL20va29p72jPZ89mr2VfY79iD2BPXr9dT1wPWu9Z31jvWD9Xn1bfVe9Uv1N/Un9R31F/UT9Q31B/UD9QD0//T/9P/1AfUH9Q31EvUT9RL1EPUQ9RL1FfUX9RX1EvUP9Q31D/UT9Rf1GvUa9Rr1HvUm9TH1PPVE9Ur1UPVZ9WP1bfVy9XT1d/WA9Y71nfWq9bL1t/W79cD1xfXM9dX14vXx9gH2EPYh9jf2UvZu9of2m/as9r720/bn9vj3BfcT9yX3PPdX93H3iPed97P3y/fl9/74F/gv+Eb4Xfh0+Iz4pfi8+NH45Pj6+Rb5OPlW+Wb5YvlR+UP5Q/lT+Wr5fPmH+ZD5nvmu+b35xPnF+cr52Pnv+gT6EPoR+g76Efof+jn6XvqM+sP7APs9+3P7nPu0+7v7sfua+3z7ZPtY+1z7bPuA+5j7s/vT+/P8DPwW/BL8CPwA+//8AvwE/AT8BfwN/Bz8MPxH/F78dPyK/J38q/y0/Lv8w/zO/Nr86Pz4/Q39JP04/UT9Q/06/TH9Lv00/UH9VP1t/Yz9sP3V/fL+A/4N/hr+Nf5g/pL+vf7X/uP+7P8B/yT/S/9n/3P/c/9z/3r/g/+C/2n/Of7//s3+uf7R/x//ogBHAO8BcgG7AdAB1AHvAjICkALoAx0DKAMbAwwDCwMXAyYDMQM2AzUDLwMkAxgDDwMPAxgDJQMxAzwDSANXA2YDbwNsA10DRwMvAxoDCAL5AuwC4ALRAsACqwKYAosCiQKTAqICrgK1ArQCrwKoAqECmQKRAosCiQKNApcCnwKgApECcAI+AgABuwF0ASwA5QCiAGMAKv/4/8n/nv93/1T/Nf8W/vP+zP6m/oT+af5U/j/+KP4O/fb95f3Y/c39v/2t/Zj9hf10/WX9Wf1Q/Uz9Sf1F/T79M/0q/Sb9Kf0y/Tv9Qf1E/Uj9T/1X/Vv9WP1M/T39NP03/Ub9XP1v/Xf9dP1r/WL9W/1V/Un9NP0W/PX82/zO/NH83/zy/QD9Bv0G/QT9BP0F/QL89fze/MT8rvyh/Jv8lvyK/Hj8ZPxS/EP8N/wr/B78EfwC+/H73PvF+7H7ovuZ+5L7h/t6+237Zfth+137VftH+zf7KPse+xf7EPsJ+wH6+Pru+uT62PrK+rv6q/qc+o/6hPp5+m76YfpV+k76TPpN+k76SvpC+jr6Nvo1+jb6Nfov+if6H/oY+hL6DvoO+hH6GPoe+iL6Ivoh+iL6Jfoo+ir6Kfop+i76NvpA+kf6TPpR+lf6Xvpl+mn6bPpt+m76b/pv+m76cPp2+oL6kPqd+qj6sfq5+sL6yvrQ+tX62vri+uz69/sD+w37Ffsd+yP7KPsv+zj7Q/tP+1r7Yvtq+3H7efuC+4r7kfuU+5f7mPua+537ovuo+637sfuz+7T7tfu2+7j7u/u++8H7w/vG+8n7zPvQ+9X72vvf++T76fvv+/b7/PwA/AP8BvwL/BL8Gfwd/CD8I/wn/Cv8Lfwr/Cj8J/wq/DL8OPw6/Df8M/w0/D38SPxT/Fr8X/xm/HD8evyB/IP8hfyG/Iv8kPyW/Jv8oPyn/LD8ufzC/Mz82fzr/P79Ef0f/Sr9NP0//U79X/1u/Xr9hP2O/Zr9qv2+/dL94/3v/fT99f31/fr+Bf4U/ib+Nf5D/k/+W/5n/nL+ff6I/pX+ov6v/rn+wv7M/tn+6P74/wX/Dv8W/yD/L/9A/1L/ZP93/43/pf+8/9L/5//8ABIAKgBAAFUAaQB9AJMAqgDAANQA6QD/ARYBLQFDAVcBbAGBAZgBrwHGAeEB/wIfAj4CWQJuAn8CjQKbAqgCtwLKAuMDAAMeAzsDVwN2A5YDswPMA+MEAAQlBEsEYQRbBEAEKQQyBGMErgT6BTYFYwWNBbsF6gYVBkEGegbBBwMHHAb3BqEGSgYiBj4GhwbSBv0HAQbsBtIGuAaaBnYGTQYkBf0F2AWzBZMFfQVwBWUFUQUyBQ4E8QTeBNIExgS0BKIElQSOBIgEfgRvBGMEXARdBF4EWQRPBEYERgRLBEsEMgP2A5kDKgK+AmcCKgIDAeUBxgGfAXEBOwEBAMYAkQBoAE8ARQBCAD4ANAAmABUABv/2/+T/z/+2/5z/gv9m/0v/M/8g/xP/C/8E/v3+9v7w/u3+7P7q/un+6P7n/uX+3v7U/sf+uv6x/qr+o/6d/pj+lv6Z/p/+ov6h/pn+jP58/mz+XP5N/j7+Lf4d/g/+Bf3//fr98/3q/d/92P3V/dj93f3j/en98P35/gX+E/4i/jD+Pv5K/lb+ZP50/oj+oP66/tX+8v8T/zj/Yf+J/63/zf/rAAwALQBPAG8AjwCzAN4BEQFJAYABsgHhAg8CQAJ1AqoC3QMJAy8DVAN8A6gD1QQDBC8EWQSDBKwE1AT5BR0FQQVnBY8FtgXcBgIGKgZSBnkGnAa6BtUG8gcSBzYHXAeEB60H1Qf7CB0IPQhdCH8IoQjBCNsI8AkECRoJMAlFCVgJagmACZwJvQneCfkKDQoZCh8KIgojCiMKIQobChMKCgoGCggKEAoXChgKEgoKCgQKAAn8CfMJ5QnYCdEJ0AnTCdUJ1QnUCdIJzAnCCbIJoQmUCYsJhAl/CXoJdglyCWsJXglMCTcJJgkaCREJCgkECP8I+wjzCOIIygixCJ0Ijgh7CF0IOAgcCBoIMwhZCGUIVgg+CCoIIQgiCCgILAgtCC0ILwg4CEkIZAiHCKwIxgjOCMEIqAiSCJAIpAjMCPsJJQlCCVIJWglgCWwJfwmZCbgJ1wnzCgsKGgojCigKLQo4CkcKVQpfCmIKZQpuCn8KlAqkCqsKqgqtCr0K3QsECyILLwssCyQLJQs3C1gLfQuaC60LuQvFC9cL7gwGDB4MNAxMDGYMfgyRDJsMnwykDKsMtAy9DMMMxwzNDNgM5gz1DQENCQ0NDQ4NDA0HDQMNAw0IDQ4NEA0MDQQM/Qz7DPwM/gz9DPkM9wz6DP8NAQz+DPcM8wz6DQwNJw1ADVQNYg1yDYoNrg3dDhQOTw6JDr4O6w8SDzkPaw+sD/kQRxCHELEQyhDkEQ4RTxGcEeESDhIeEhsSFRIXEiESKxIxEi8SJxIbEhASBxIEEggSEBIWEhQSCBH2EeMR1hHNEcURuxGwEaoRqxGwEbURthGzEbARsBG1Eb0RxhHQEdsR5BHnEeAR0BG8EakRmxGOEYERchFiEVcRUxFUEVURUxFNEUQROxEyESkRHxEWEQ4RBhD8EO8Q3xDQEMMQuBCuEKIQkxB+EGQQRhApEA8P/Q/xD+YP0g+zD4sPYA86DxgO9w7RDqYOeg5TDjEOEQ3tDcQNmA1yDVQNOg0gDQMM5gzLDLcMpwyZDIkMegxrDGAMVwxQDEwMSQxGDEEMNwwpDBsMEgwPDA8MEAwNDAcMAAv6C/YL9AvzC/QL9gv2C/EL5gvWC8YLuAutC6ELkQt7C2ELSAswCxoLBArvCtsKxwq0Cp0KhAppClAKOQokChAJ+wnnCdQJwgmuCZUJdwlWCTcJHQkFCO0I0AivCIwIaAhECCAH/AfbB74HoweHB2sHTQcvBxMG9gbVBrAGiQZmBkUGJgYGBeIFvQWZBXkFWAUzBQgE2wSwBIoEaARGBCID+wPUA64DiQNiAzsDFQLxAs8CrQKHAl4CMwIJAeEBuQGRAWUBOAEMAOEAtwCLAF0ALwAD/9v/tf+N/2H/MP79/sz+nP5s/jz+DP3f/bf9k/1v/Ub9Gfzr/L78lfxt/EX8G/vz+8/7sPuR+2/7SPsb+u36w/qc+nf6Uvoq+gD51vmw+Y75cPlR+S35BPjY+K74ivhs+E74LfgI9+H3vfeh94j3b/dQ9yz3Bvbl9sz2ufaq9pn2hfZt9lT2OvYj9gz19vXh9c31vPWv9aX1mfWJ9Xb1YvVR9UX1PvU59TT1MPUr9Sj1JfUl9Sb1KfUu9TH1MvUw9S31K/Us9TD1M/U29TX1M/Uw9S71LvUx9TX1NvU09TD1MPU19UD1TPVW9V31Y/Vr9Xb1f/WF9Yj1i/WT9aD1rvW69cL1yPXM9dD11vXf9ev1+vYK9hn2J/Y39kv2ZfaA9pj2q/a69sn22vbs9v33Dfcd9y/3Rfde93f3kPen97330/fp+AH4G/g2+FD4Z/h8+JL4qvjC+Nn47Pj/+Rj5NvlS+V/5WflH+Tn5O/lP+Wj5efl/+YH5ifma+a35uPm6+bz5x/nd+ff6CfoO+gv6CfoR+iX6QPpg+oT6q/rV+vz7Hfsy+zj7Mfsi+xP7DPsU+yf7P/tV+2n7fPuR+6f7uPu9+7n7s/u0+777zPvY+9774Pvm+/P8Cfwj/D38Vfxo/HX8f/yI/JD8m/ym/LD8ufzF/Nj87/0D/Q39Cvz+/PT89/0H/SD9Pf1Y/XP9jv2q/cD90P3f/fT+GP5I/nb+lv6l/q3+wP7k/xL/Nf9B/zj/K/8q/zH/K/8B/rT+X/4r/jf+h/8J/6MAQgDWAVQBrAHXAd8B4gIBAkgCpwL6AyQDIQMEAuUC0wLOAsoCwAKxAqACkQKFAn0CfAKCApECoQKuArcCvgLFAsoCywLCArICngKMAn4CdAJrAmACUwJCAi8CGAIAAewB4QHgAeYB7gHyAfIB7gHqAeUB3wHZAdQB0AHQAdABzQHAAaYBfgFNARgA4wCxAIAATwAe/+3/vP+N/2D/Nv8S/vT+2/7B/qT+g/5i/kT+LP4W/f/95f3K/bP9ov2V/Yj9dv1i/U39PP0u/SL9Fv0L/QT9Av0B/P389Pzn/N382fzf/Or89v0A/Qb9Cv0O/RD9EP0L/QP8/fz9/QX9EP0Z/Rz9Gv0Z/R79KP0y/TX9Lv0g/Q/9APz0/On83/zX/NP81fzc/OX87Pzt/Ob81vy//Kb8k/yG/H/8efxu/F78Svw3/Cf8GvwO/AD78vvi+9D7vPun+5T7hvt9+3f7cPto+2L7XPtX+0/7Qvsw+xz7DPsD+v/6/Pr3+u/64/rW+sr6vvqy+qT6lvqH+nv6cfpo+l76UfpF+j36PPo++j/6O/oz+iz6Kvos+i/6Lvon+h36EvoL+gX5//n6+fb59fn2+fb59vn4+f/6CvoV+h76IPog+iH6Jfor+jL6OPo++kb6TvpX+l76Y/pm+mn6afpo+mf6aPpv+nr6iPqX+qP6rvq5+sP6zPrS+tb62vri+u36+vsH+xL7G/sj+yr7Mvs6+0P7TftX+1/7ZPtp+237c/t7+4T7i/uR+5T7l/ua+6D7qPux+7j7vPu9+777vvvB+8T7x/vK+8z7zfvP+9H70/vX+9z74vvp++/79fv8/AL8B/wK/Av8DvwT/Bv8Ivwn/Cn8Kvwr/C38Lvwt/Cv8K/wu/DP8OPw4/DX8Mvw1/D38SPxR/Fj8Xfxk/G78ePyA/IT8h/yK/JD8mPyh/Kj8rvyz/Lb8uvy//Mj81vzn/Pr9C/0a/Sj9Nf1B/U39V/1g/Wj9cP14/YH9jP2d/bP9zP3g/ez98v31/f3+DP4g/jP+Q/5P/lv+aP52/oD+hv6L/pL+nf6q/rf+w/7O/tr+6f75/wf/Ev8c/yj/N/9J/1z/bv+B/5T/qf++/9L/5v/6AA4AIgA2AEgAWwBvAIUAnACzAMsA5QD/ARgBLQFAAVEBZAF5AZABpgG9AdYB8gIQAi0CRwJbAmwCeQKFAo8CmQKmArgC0ALsAw8DOANmA5UDvAPcA/gEGAQ+BF4EaARVBDMEHwQ0BHMExgUQBUQFagWVBc4GEgZUBpEGzQcLBz0HSQciBtYGiQZkBnMGowbRBuYG3wbLBrIGmAZ3BlAGJwYBBd8FvAWXBXcFZAVcBVQFPgUVBOQEvwSvBLIEugS7BLQEqQSdBJAEgARsBFwEVQRWBFkEVQRLBEIEQQREBD4EHgPaA3kDCgKiAkoCAwHJAZgBbgFMAS0BDADiAK8AfABTADsANAAzADAAJgAYAAn/+//v/97/yP+t/5H/df9a/0D/KP8V/wb+/f73/vH+6/7k/t3+1/7U/tL+0f7P/sn+wP61/qv+pP6f/pr+lf6P/ov+jf6T/pz+o/6l/qL+m/6S/of+e/5t/lz+Sf43/ij+Hv4Z/hb+Ef4K/gH9+v33/fr9//4F/gv+E/4e/ir+OP5F/lL+Xv5p/nb+g/6T/qP+tP7H/tr+8/8S/zf/Yf+J/67/z//wABQAOQBdAH0AnAC+AOgBGgFQAYUBtgHhAg0CPAJwAqYC2QMIAzIDWwOEA68D2gQDBCwEVQR/BKkE0QT3BR0FRAVsBZQFuwXhBgcGMAZZBn4Gnga5BtMG8AcSBzkHYQeJB7EH2ggCCCcISAhnCIYIpQjDCN0I9AkKCR8JNAlJCVsJbgmECZ8JvQndCfgKDQobCiYKLgo0CjgKNwoyCigKHgoYChgKHQohCiAKGwoUChAKEAoPCgoKAAn0CewJ6gnsCe0J6wnlCd8J2QnSCcoJwAm1CasJowmcCZoJmgmaCZUJiQl3CWUJVwlQCUoJQgk1CSUJEwj/COYIyQipCIsIcAhZCEUINwg1CEEIVQhkCEwIQwg+CD4IRAhMCFMIWQhfCGUIaAhrCG8IeQiNCKYIugjBCLYIoQiQCI8IogjFCO0JDwklCTIJOwlICV8JfwmjCcYJ5An7CgwKGQoiCikKLgo0CjsKQgpICk4KVwpkCnYKigqbCqgKsgq+CtEK6gsECxcLHwsfCx4LJgs7C1sLfQuYC6gLsQu7C88L6wwLDCoMRAxaDG8MgwyVDKEMqQyuDLQMvAzEDMwM1AzfDO0M/A0JDRENEw0RDQ0NCg0HDQUNBA0EDQQNAgz/DPwM/Az+DQAM/wz8DPkM+Az7DP4M/gz7DPkM/A0JDR4NNw1QDWUNeA2LDaMNyA3+DkMOkQ7XDwkPJA8zD00Pgw/VEDQQiRDFEOcRARElEVwRnxHgEg4SJBIpEiYSJRIpEi8SNRI3EjcSMhIrEiESGRIWEhgSGxIaEhISAxHzEegR4RHaEc8RvxGxEaoRrhG3Eb4RvhG4EbQRtxHDEdQR5xH2EgISChIKEgQR9RHgEcgRrxGYEYIRcBFkEV8RYRFpEXQRgBGJEY4RixF+EWkRTxE4ESYRGBENEP8Q8BDgENMQyBC/ELMQpBCQEHkQYBBIEDQQJRAZEAsP9g/WD68Phw9jD0IPIQ77DtEOpw6CDmEOPw4XDegNuQ2RDXENVw09DSANAwznDNAMvQyqDJcMhQx2DG0MaQxnDGYMZQxkDGEMWwxSDEcMPQw0DCwMJQwgDB0MHQwfDCEMIQwgDCAMIgwiDB0MEAv/C+8L4gvZC9ALwAuqC48LdAtaC0ELKgsUCv8K7ArZCsMKqgqQCngKYwpSCkMKNAoiCg8J9wncCbwJmgl5CV0JRQktCREI8AjMCKcIggheCDsIGQf7B+IHyQevB5AHcAdRBzMHFQb1BtEGrAaJBmoGTAYqBgUF3wW8BZ4FfwVbBTAFAQTVBK8EjwRvBEsEIwP4A9ADqgOGA2IDPgMaAvcC0wKuAoYCXAIxAgcB3gG0AYsBYQE3AQwA4ACzAIUAVwAsAAT/3v+3/4z/X/8u/v3+y/6a/mj+Of4O/eb9wP2Y/Wz9Pf0N/OP8vfyb/Hf8Uvwq/AX74vvA+5z7cvtE+xb66/rE+qD6fPpU+ir6Avne+b/5o/mE+WD5N/kN+OX4w/ik+IT4Yfg8+Bj3+ffg98n3rveL92P3OvcW9vr25fbT9sL2r/aZ9oP2bPZV9j72J/YQ9fv16fXb9c/1w/W09aL1kPV/9XH1Z/Vh9Vz1WfVV9VD1TPVK9Uv1T/VU9VX1UvVL9UX1QvVE9Uj1TfVR9VH1T/VM9Un1SvVM9U/1T/VL9Ub1Q/VG9VD1XfVo9XD1dfV89YX1j/WX9Zz1ovWp9bT1v/XK9dL12PXd9eL16fXy9gD2EPYg9i/2PfZL9l32dPaN9qT2t/bG9tX25fb29wb3F/co9zv3UPdm9333lfet98T32vfv+Af4Ivg/+Fz4c/iG+Jf4rPjE+N348vkF+Rv5NPlL+VX5T/k++TH5NPlI+V/5bvlw+W/5dvmJ+Z/5rvmz+bb5wPnV+e/6AvoI+gf6CfoW+i76S/pm+nz6j/qj+rn6zPrZ+t362frR+s360/rk+v37Ffsp+zf7RftV+2T7b/tw+2v7Z/tt+377lfup+7X7vfvG+9f77/wJ/CL8NvxE/E/8WPxh/Gr8c/x7/IL8ivyW/Kr8wPzT/Nz81/zN/Mj80Pzm/QX9JP0+/VP9Z/17/Y/9ov23/dP9+v4m/kz+Zv52/of+pf7R/vr/Df8E/u7+3/7h/uX+yf58/hH9vv28/ib+4/+7AHkBBAFhAaEBzwHrAfkCCAIsAm0CvgMBAx0DDALfAqwCggJhAkQCJwINAfsB8wHxAfMB+AIBAg8CIAIuAjcCOgI6AjUCLAIeAgwB/AHxAesB5wHgAdYByQG7AaoBlgF/AWgBVQFKAUQBQAE8ATUBLQEkARsBEgELAQYBBAEEAQEA9gDfALwAkABiADgAFP/1/9j/uP+V/2//Rv8e/vf+0/6z/pj+gP5o/k/+M/4Y/f/96P3R/br9of2K/Xb9Zf1W/UP9Lv0Z/Qb8+fzw/Of83PzQ/Mb8wfzA/MD8vPy0/Kn8ofyh/Kn8tPy+/MP8w/zC/MH8w/zH/Mv80PzW/Nz83/zf/Nr81vzX/OD87vz6/QP9DP0c/TT9S/1V/UX9Hvzs/ML8rfys/Ln8xfzJ/MH8sfyc/If8dvxq/GL8XPxR/EL8L/wc/Av7/Pvv++H70vvC+7H7oPuO+377cPtl+137WPtT+1D7TftI+z/7MPsd+wj69/rt+ur66/rp+uH60/rB+q/6oPqU+on6fPpv+mT6WvpS+kn6Pvo0+i76Lfov+i/6K/ol+iH6Ivom+in6Jfoa+g76BPn9+ff57vnj+dn50vnQ+dH51Pna+eX59PoE+hH6FvoW+hT6E/oW+hv6Ivop+jL6PPpG+lD6WPpc+l/6YPpg+mH6ZPps+nf6hPqR+pz6p/qy+r36x/rP+tb63frm+vL6/vsK+xX7Hvso+zL7PPtF+0/7Wfti+2r7b/ty+3X7ePt++4X7jfuS+5b7mfud+6P7q/u0+7v7vvu/+8D7w/vH+8370vvV+9b71vvV+9b72Pve++X77vv1+/v7//wE/An8DvwT/Bb8Gfwe/CX8LPwx/DL8Mfww/DD8MPwx/DH8Mfwz/DX8N/w3/DX8Nfw5/ED8SPxP/FT8Wvxh/Gv8dPx7/ID8hPyJ/JD8mfyj/Kv8svy2/Lj8u/zA/Mn81vzk/PL8/v0L/Rn9Kf03/UH9SP1O/VX9Xv1o/XH9ev2H/Zj9rf3A/c/92v3m/fn+E/4u/kT+VP5g/mz+e/6I/pD+kP6N/o/+mP6n/rf+xP7N/tf+4/7z/wX/Ff8i/zD/Pv9Q/2L/df+I/5r/rP+//9L/5f/3AAkAGgArAD0AUQBmAHsAkQCnAMAA3AD3AQ8BIgExAUEBVAFsAYUBnQG0AcwB5gIBAhoCMQJFAlcCZwJ2AoQCkgKjArcC0QLwAxYDQwN2A6kD1QP2BBEELARIBFsEWQQ/BB8EFgQ3BH8E0QUSBTsFXAWPBeIGTAa1BxAHWAePB7IHtweYB18HJAb+BvEG8AbpBtUGuAadBocGcAZTBjEGEAX2Bd0FvQWWBW8FVQVLBUMFLgUDBM8EpQSUBJoEqQSyBLMErgSnBJ0EjQR4BGUEWgRXBFYETwRDBDgENgQ4BDAEDQPIA2gC/gKZAkAB8QGqAW0BQAEkAREA/ADYAKQAbQBAACYAHgAfAB4AFgALAAD/9v/q/9n/wf+l/4j/bf9U/zz/JP8P/v/+9f7v/ur+5P7c/tL+yP7A/rz+uP6z/qv+oP6V/o3+if6I/oj+hv6F/of+jf6V/pz+ov6k/qT+o/6h/p3+lP6G/nP+X/5K/jn+K/4h/hr+Ff4Q/gv+Cf4L/g/+Ff4c/iX+Lv46/kb+Uf5c/mf+c/6B/pH+of6x/sD+zf7a/un+/v8Z/zr/Xv+D/6f/y//xABoAQwBqAIwAqwDNAPUBJAFXAYgBtgHiAg8CQAJ0AqgC2gMIAzMDXgOIA7ID2gQBBCcETgR2BJ0EwwToBQ8FOAViBYwFtAXaBgEGKgZSBncGlgayBs4G7gcSBzgHXQeDB6kH0gf8CCMIRQhjCH8Imwi4CNQI7wkHCR4JMwlGCVkJbAmCCZwJuQnXCfMKCgodCiwKOApCCkkKTApLCkYKPQo1Ci8KLgovCi8KLAooCiUKJAokCiAKGgoRCgsKCAoGCgIJ+gnwCeYJ4QnfCd8J3gnZCdAJxgm+CboJugm5CbMJpwmXCYcJewlyCWcJVgk9CR4JAAjjCMoItAigCI8Iggh3CG8IaQhkCGAIXAhWCGEIZAhsCHMIeAh6CH0IhAiNCJQIlAiLCH0IdAh2CIUImAinCKoIpQidCJwIpQi4CM4I4wj0CQAJDQkiCUEJawmYCcMJ5An9Cg4KGwomCi4KNAo3CjoKPwpHClIKXQpoCnIKfQqMCqAKuArRCuQK8Ar1CvYK+QsBCxALJgtCC2ELfAuRC54Lpwu0C8oL6wwQDDIMTAxfDHAMgQyTDKMMrwy3DLwMwQzGDM4M2AzmDPYNBQ0QDRMNEA0JDQMNAA0ADQAM/gz7DPgM9gz2DPkM/Qz/DP4M/Az6DPoM/g0BDQIM/wz9DQANDA0fDTUNTA1kDX0Nlg2tDccN6w4jDnEOyw8aD0kPWA9aD24PqhAIEHEQxhD8ERoROBFkEZ4R2RIEEhkSHhIeEiISKBIuEjASMBIuEisSJBIZEgwSAhIBEggSEBISEg4SBBH7EfMR6hHcEcURrBGXEY4RkRGbEaURqxGvEbYRwxHXEe4SBBIVEiASJhInEiMSGhIJEe4RzBGlEX8RZBFYEV4RcxGVEcAR8BIcEjsSQxIuEgARxBGJEVsROxEnERgRChD8EO8Q4xDWEMcQsxCdEIkQdxBoEFwQTxBAECwQEw/zD9APrQ+KD2kPRw8iDvwO1g6yDo4OZw47DgsN3A2zDZENdQ1bDT8NJA0JDPEM2wzEDK0MmAyJDH8Mewx7DHsMfAx7DHoMeAx1DHAMZwxdDFEMSAxFDEYMTAxSDFQMUgxPDE4MTgxNDEUMNwwmDBcMDAwEC/oL6QvRC7cLnQuEC2sLUQs4CyELDgr8CukK1Aq+CqoKmQqLCn0KbQpZCkAKIwoDCeAJvwmhCYcJbglUCTQJDwjoCMEInAh4CFYINwgdCAcH8QfXB7cHlQdzB1MHNAcTBvAGzgauBpEGdQZVBjAGCgXmBcUFpAV+BVIFJQT6BNYEtwSWBHEERwQcA/QDzwOtA4oDZQNAAxoC9QLQAqkCgAJWAioCAAHWAa0BhAFZAS0BAADUAKkAgABYAC8ABv/d/7P/iP9a/yn+9v7D/pL+Zv4+/hj98f3G/Zf9Zv03/Q386PzH/Kb8g/xe/Dj8E/vu+8f7m/tt+z/7FPrt+sn6pfp/+lj6MvoQ+fL51Pm0+ZD5aflC+R74/fjd+Lz4mPhz+FL4Nfga+AD34fe995X3bvdL9y/3GPcF9vL23vbH9rD2mPaA9mn2UfY79if2FfYF9fb15/XX9cj1ufWq9Z31kfWJ9YP1fvV69XT1bvVr9W31cvV39Xf1cvVp9WH1XvVg9WT1aPVp9Wf1ZPVg9V71X/Vi9WX1ZvVk9WD1XvVi9Wv1dvWA9YX1ifWN9ZX1nvWo9bH1uPW/9cj10PXZ9eH16fXv9fb1/fYH9hP2IvYy9kL2UfZg9nH2hfaZ9q72wfbS9uP29PcE9xP3JPc290r3YPd194n3n/e298735ff7+BL4K/hI+GP4eviL+Jv4rvjF+N/49/kN+SL5OPlL+VP5S/k6+Sv5Kvk5+Uz5W/lg+WT5bvmC+Zn5qvmy+bb5v/nS+ef59vn8+f36Bfoc+j76Yfp++o/6mfqg+qj6r/qy+rD6q/qo+qv6uPrN+uX6+fsI+xL7HPsn+zL7OPs4+zP7Mfs4+0r7YPt2+4f7lvuo+7/72vvz/Ab8E/wd/Cb8L/w5/ED8RfxL/FP8YPxx/IT8lfyh/KX8o/yg/KP8sfzH/OP8/f0T/Sf9O/1S/Wr9g/2b/bX90v3x/g/+Kf5C/mH+h/6s/sT+xP6x/pz+lv6e/pn+bP4T/bT9kv3g/qH/oQCQATUBhQGhAbIBzwH1AhsCOwJhApICygL0AvsC2wKeAlgCGAHgAbABiQFvAWYBagF1AX4BhAGLAZUBpAGyAb0BvwG7AbABoAGNAXsBbAFkAV8BWgFSAUYBOQEsAR8BEAD9AOkA1QDEALgArQChAJQAhQBzAGAATgBAADkAOQA9AD0AMgAb//n/0/+v/5L/e/9n/1L/Of8a/vj+1f6z/pT+d/5c/kD+JP4I/e791f3B/a79nP2J/XX9Yf1O/T39Lf0c/Qn88/ze/Mz8v/y2/K78pfyb/JD8ifyF/IT8g/yA/Hr8c/xv/HD8dvx9/ID8gPx+/H38gfyH/JD8mfyh/Kj8rfyt/Kv8q/yv/LX8uvy6/Lv8yPzt/Sn9af2R/Yv9Vv0I/L78kfyC/Ij8kvyU/I78hPx4/Gv8X/xS/Eb8O/wv/CH8EfwA+/D74fvT+8X7tPuj+5L7hPt3+2r7XvtS+0n7Qvs9+zr7OPsz+yr7HPsK+vb65frc+tr63frd+tf6xvqv+pj6hfp4+m76ZPpY+kv6QPo3+i/6J/og+hz6Gvoa+hr6F/oU+hP6Fvoa+hr6FPoJ+fz59Pnu+ef53PnO+cL5vPm9+cH5xfnL+dP54fnz+gL6DPoO+gv6CfoK+g76E/oZ+iD6KPoy+jz6RvpN+lH6VPpW+lr6YPpp+nT6f/qK+pT6nvqq+rb6wvrN+tj64vru+vn7BPsN+xX7Hvso+zP7PvtI+1P7Xvtp+3P7e/uA+4P7h/uM+5P7mfue+6H7ofuj+6f7rvu1+7r7vPu9+7/7w/vL+9P72fvd+9773vvd+9774vvp+/L7+/wC/Ab8CPwL/A/8Fvwc/CH8Jvwq/C/8M/w2/Df8Nvw0/DT8NPw1/Db8N/w4/Dn8O/w8/D38P/xB/EX8SPxK/E/8VPxd/GX8bfxz/Hj8fvyF/Iz8lPyc/KP8qvyv/LT8uvzC/M382vzl/O/89vz+/Qn9F/0k/S79Nv09/Uj9V/1o/Xj9hv2R/Zz9p/2w/bj9wv3U/e7+D/4u/kX+U/5e/mv+fP6L/pT+k/6P/o/+mf6p/rr+xf7K/s7+2P7o/vz/EP8g/y3/Of9I/1r/b/+E/5j/rP++/9H/5P/1AAQAEgAhADMARwBcAG4AfwCRAKYAwADaAPEBAwETASUBPQFaAXkBlQGuAcUB3AHzAgkCHQIyAkgCXwJ2Ao0CpAK+At0C/gMfA0IDaAOTA78D5wQEBBoELQQ/BEsERgQyBBwEGwRBBIUE0AUKBTEFWAWbBgYGjgcZB48H5wgiCEIIRQgqB/oHwweRB2QHNQb9BsIGjQZqBlQGQwYuBhYGAwX1BeYFygWeBW0FSAU1BSsFGgT4BMwEpgSUBJUEoASoBKsErgSxBLAEpwSTBHwEawRgBFkETQQ9BC4EJwQlBBwD+wO6A2EC/QKcAkIB8QGoAW4BSAE0ASgBEgDnAKsAagA2ABcADAAKAAgAA//8//b/8P/l/9T/u/+f/4P/av9S/zr/Iv8M/vr+7v7n/uL+2/7S/sX+uf6u/qb+oP6Z/pL+iP5//nn+dv53/nn+ff6C/or+kv6Z/p3+nv6f/qD+pP6n/qX+nP6N/nr+Z/5U/kP+M/4k/hj+EP4L/gv+Dv4T/hv+I/4t/jf+Qf5M/lf+Yv5s/nn+h/6Y/qr+u/7J/tb+4f7u/v3/EP8n/0L/YP+A/6P/y//2ACMATwB2AJgAuADZAQABKwFYAYYBtAHiAhQCSQJ+ArAC3wMKAzQDXwOJA7MD2wQBBCcETgRzBJcEugTcBQIFKwVVBX8FpgXMBfIGGAY/BmMGhAakBsQG5wcLBy4HUAdxB5YHvgfoCBAIMghPCGoIhgikCMQI4gj+CRYJLQlCCVYJawmCCZsJtgnSCe0KBgodCjAKPgpJClIKWgpgCmEKXQpUCkoKQwpACkEKQQpACjwKOQo1CjIKLgopCiQKHwoZChIKCQn/CfcJ8gnxCfIJ8AnrCeIJ1wnOCccJwQm5Ca0JnQmLCXsJbQlgCU8JOQkdCP8I5AjPCL8ItQivCKwIqwiqCKYIngiQCIAIcAhlCKAInwicCJQIiQiACH0IgQiKCI8IjAh+CG0IYAhgCG4IhAiaCKsItAi1CLIIsQi2CMAIzwjfCO0I+wkNCSkJUAl/Ca0J1QnyCgYKFQogCioKMAo1CjoKQgpQCmAKbQp1CnYKeQqDCpgKtgrRCuEK4QrZCtMK2QruCw0LLQtKC2MLdwuIC5gLqAu8C9YL9gwaDDoMUgxjDHIMggyVDKcMtQy9DMEMwwzHDM4M2AzlDPQNAQ0JDQoNBgz+DPcM9AzzDPMM8gzvDOwM6wzuDPMM9wz4DPcM9gz7DQMNDA0QDQsNBA0CDQsNHw03DU4NZA18DZkNug3aDfgOHQ5WDqUPAA9OD3sPhw+LD6gP7hBTELgRAhEsEUURYxGREcYR8BIEEgYSAxIFEg0SFRIXEhQSEBIOEgsSARHxEd8R0xHUEd8R7BH1EfkR+RH6EfkR8RHgEcgRrhGXEYURehFzEXMRexGPEasRyxHrEgcSHhIwEjsSQhJEEkMSPhIwEhQR5xGwEXsRVxFSEW8RqxH8ElgSshL/EzATNxMQEsMSYhIAEbEReRFVETwRJxEVEQYQ+BDqENkQxBCtEJsQjxCIEIIQdhBjEEgQKhALD+0Pzg+uD4sPaA9GDyMPAA7bDrMOiA5aDisN/w3WDbINkg11DVsNQw0sDRYM/wznDM8MuAykDJUMiwyIDIgMjAyPDJIMlQyWDJUMkwyODIoMiAyLDJEMlgyVDI4MhQx/DH0Mfwx+DHUMZgxVDEYMOgwvDCAMCwvzC9sLxguwC5cLewtdC0QLLwseCw0K/QrsCt4K0grFCrUKngqCCmMKQgohCgEJ4wnHCa0Jkwl0CVAJKQkBCNoItgiUCHQIWAhACCsIFQf6B9oHtweWB3YHWAc3BxMG8QbSBrcGnQaBBl8GOgYVBfAFygWgBXQFSAUhBP4E3AS6BJMEagRBBBsD+APVA7EDigNiAzsDFQLvAskCoQJ3Ak0CIwH6AdEBpwF5AUkBGwDwAMsApwCBAFkALQAC/9j/r/+D/1P/IP7t/r/+lv5y/k3+JP34/cj9mP1r/UL9Hfz6/Nj8tfyS/Gz8Rfwc+/D7wvuT+2b7PPsV+vH6zfqo+oT6YfpB+iL6A/nh+b75mvl3+Vb5NvkV+PL4z/is+Iz4bfhQ+DD4Dvfo98P3oPeC92n3VPdA9yz3Ffb79uD2xvas9pT2ffZp9lb2RfYy9h/2DPX69er13fXR9cX1uvWw9af1ofWb9ZX1j/WM9Y71lPWY9Zf1kfWH9YD1fvWB9YX1hfWD9X31ePV19XT1dvV59Xz1fvV+9X31fvWD9Yv1k/WZ9Z31nvWi9aj1sfW79cT1zPXS9dn14PXo9fD1+fYC9gv2E/Yc9if2NfZF9lX2ZfZ29of2mPaq9rz2zfbf9vH3AvcS9yD3MPdC91n3cfeH95v3r/fE99v38/gK+CD4N/hP+Gj4f/iS+KP4tfjL+OL4+vkR+Sf5PflO+VT5S/k4+Sb5Ifkq+Tv5S/lW+V/5bfmA+ZX5pvmv+bX5vvnN+d356Pnu+fP6APoa+jz6X/p9+pH6nvqn+qz6rfqo+qD6mfqY+qD6sPrE+tf65vrx+vf6/PsC+wj7DPsN+w37EPsZ+yf7OPtI+1n7bfuH+6T7wPvU++D75vvt+/f8AvwK/A78D/wV/CT8OfxP/F78Zfxl/GT8Z/xx/ID8kvyl/Lj8zfzi/Pn9E/0w/U79av2A/ZH9oP2y/cr96v4R/jr+Xv51/nv+cf5i/lz+Yf5l/lT+H/3Y/bH93/59/3AAcgE3AZcBpQGTAZUBuwH4AjMCYAKDAqUCxQLWAscCkwJGAfEBogFhASwBBwDzAPAA+wEIAREBFAEVARsBJwE2AUIBRwFDATgBJwESAP8A8ADmAN8A1wDLAL0ArQCfAJMAhgB3AGYAVABEADUAKAAaAAv/9//f/8P/p/+R/4f/iP+P/5P/jv99/2b/Tf83/yX/Ff8E/u/+1P61/pT+c/5W/j3+Jv4O/fH90P2u/ZD9ef1p/V39Uf1D/TP9If0Q/QD88Pzh/NL8w/yy/KD8jvx//HP8bPxm/GD8WPxQ/Ev8SPxH/EX8QPw7/Dn8Ovw//ET8R/xJ/Ev8TvxS/Fb8W/xh/Gr8c/x8/IP8ivyQ/JT8kfyE/Hb8efyb/Nz9Kf1g/Wf9Ovzw/Kf8efxp/Gn8avxk/Fz8V/xW/Ff8UfxD/C/8GvwI+/n77Pvf+9L7x/u7+637nPuK+3n7a/tg+1f7TftD+zr7Mvss+yj7JPsd+xP7Bfrz+uH60vrK+sv60PrU+tD6wPqn+oz6dfpl+lv6UfpG+jj6Kvog+hj6EvoO+gr6BvoE+gH5//n/+gH6BfoH+gX5/vn0+ev55Pnd+dT5x/m7+bX5tvm8+cL5xPnD+cX5z/ng+fT6A/oL+gz6DPoN+hH6Fvoa+hz6Hvoj+ir6Mvo6+kD6RfpK+lL6W/pm+nH6fPqH+pL6nfqp+rX6wPrM+tn65vrz+v77BvsN+xT7HPsl+y/7OvtE+1D7Xftr+3j7gvuJ+4/7lfud+6X7rfux+7L7sfuw+7H7tPu5+737v/vB+8T7yfvR+9n74Pvk++b75/vo++v78Pv3+//8B/wM/A/8EPwS/Bb8HPwk/Cv8Mfw0/Df8Ofw6/Dr8Ofw5/Dn8OPw4/Dn8Ofw7/D78QvxG/En8S/xL/En8R/xH/Er8UPxY/F/8Zfxq/HD8d/yA/Ij8j/yT/Jj8nfyk/Kz8tfy//Mv82Pzk/O388vz2/Pz9Bv0R/Rv9Jv0y/UP9Wv10/Yz9oP2v/bj9u/26/bj9u/3I/eD9/v4Y/iv+Nv5B/lL+aP58/on+jf6M/o7+mv6r/rr+wv7E/sX+y/7b/vH/Bf8V/x//KP80/0f/Xv93/4//pP+5/83/4f/yAAAADAAZACgAOwBOAF4AbAB5AIoAoQC5AM8A4gD1AQwBKgFOAXEBkQGsAcIB1wHpAfsCDwInAkQCYwKBAp0CugLaAv4DIwNDA14DeAOXA7sD3QP4BAsEGwQrBDkEPQQ2BCsELwRPBIsE0gURBUUFewXHBjQGuwdJB84IPQiQCMIIzQivCHMIKQfeB5cHTgcBBrUGdgZMBjUGJgYWBgUF+AXwBeUFygWeBWkFPAUfBRAFAATlBMQEqASaBJkEngSiBKcErwS6BMEEuwSnBI0EdQRnBFwETwQ8BCgEGQQQBAMD4wOrA1sC/gKgAkgB+gG5AYsBcQFlAVcBOQECALsAcgA5ABYABf/+//j/8v/u/+v/5//e/87/t/+c/4L/Z/9N/zP/Gv8E/vH+5P7a/tL+yf7A/rT+p/6b/pH+if6D/n7+ef51/nL+cv50/nn+f/6H/pH+mf6d/p7+nf6d/qH+p/6p/qX+l/6E/nH+YP5T/kf+O/4s/h/+Ff4P/g3+EP4X/iD+K/44/kX+UP5b/mT+bv57/ov+nf6v/r/+zP7X/uL+7v78/w3/H/8z/0n/Y/+B/6b/0QAAAC8AWgCBAKMAxADnAQwBNAFdAYgBtgHoAh4CVQKJAroC5gMQAzoDYwOMA7QD2wQCBCkEUQR3BJsEvQTfBQMFKQVQBXYFmgW9BeAGBAYoBksGbgaRBrUG2gb+ByAHQAdgB4UHrAfVB/oIGwg4CFQIcwiUCLYI1QjyCQwJJQk9CVUJbQmGCZ0JtQnMCeQJ/QoWCiwKPgpKClQKXgppCnEKcwpuCmUKWwpWClQKUwpQCkoKRQpBCj8KPgo6CjQKLAokChwKFQoPCgkKAwn8CfMJ6QneCdMJygnBCbgJrAmcCYgJcgleCU0JPwkwCSAJDwj+CPII6QjkCOAI2wjXCNMI0AjOCMoIwwi5CK8IpwiiCMwIugiiCIoIdQhnCGMIZAhnCGcIYghaCFQIVQhdCGwIgAiVCKkIuAi/CMAIwAjFCNUI7QkFCRcJHwkkCS8JRwlrCZYJvAnZCewJ+QoDCg0KFgofCikKNwpJCl0KbQp2CnkKewqFCpgKsQrGCs8KywrDCsMK1AryCxcLNgtMC1wLawt/C5gLtAvRC+0MCwwnDEIMVwxoDHcMhwyXDKcMsgy5DLwMwAzFDM4M2AzjDO4M9Qz6DPwM+Qz0DO4M6QzlDOMM4gzhDOAM4gzlDOgM6wzsDO4M9A0ADQ4NGQ0ZDRANBQ0FDRUNMQ1QDWoNgA2YDboN4w4ODjcOZA6dDuYPNQ93D58Psg/ID/kQTBCvEQQROhFTEWURghGtEdgR8hH3EfER7RHwEfQR8xHrEeIR4BHjEeQR2xHJEbgRshG5EcURzhHPEc4RzxHXEeMR7BHxEfIR7xHiEccRmxFrEUgRQRFbEYwRwxHzEhcSMhJGElUSXRJfElwSVBJEEiUR8hGxEXURVRFjEacSFBKYExwTjBPbE/4T8RO2E1gS6hJ/EiQR3hGoEXoRUBEsEQ8Q/BDvEOIQ0RC+EKwQoRCdEJgQjRB3EFoQOhAdEAMP6A/JD6YPgQ9fDz8PHQ73DswOng5yDkgOIA34DdANrA2ODXYNYw1QDTwNJw0SDPsM4wzJDK8MmgyPDJAMmQylDK8MtQy6DL4MwwzKDNQM4QzvDPcM9gzpDNQMwAy0DLMMtgy1DKsMmgyIDHgMagxbDEcMLwwXDAML8AvcC8ILowuEC2kLVQtECzQLJQsXCwwLAgr0Ct8KwwqgCn0KXAo+CiEKBQnqCc4JsQmPCWkJQQkaCPYI1Ai1CJgIfghmCE8INQgWB/UH1Ae2B5oHfQdeBzsHGAb4BtwGwwaoBokGZgZBBhkF8AXFBZsFcgVMBScFAgTbBLIEiwRmBEMEIQP8A9UDrAOEA10DNwMRAusCwwKaAnACSAIfAfcBzAGeAWwBPQETAO4AzACoAH4AUQAl//v/1P+r/37/Tf8c/u/+yP6k/n7+U/4k/fT9yP2g/Xr9Vf0w/Qv85/zC/Jz8cvxF/BX75fu3+4z7ZPs/+xn69PrP+qv6ivpq+kz6LPoL+er5yfmp+Yr5avlI+SX5BPjk+MX4pfiE+GD4O/gV9/H30Pe09533ifd392L3Sfcu9xL29vbd9sb2sfad9or2ePZl9lD2OvYl9hP2BPX59e714vXX9c31xvW/9bj1s/Ww9bL1tvW39bT1rPWi9Zz1nPWg9aP1o/Wd9Zb1kfWP9ZH1lPWV9Zb1lfWV9Zb1mfWe9aT1qfWu9bL1tvW79cL1yfXQ9db13PXi9en18PX59gL2DPYW9h/2KPYx9jz2SvZa9mn2ePaI9pj2qva79sv22vbq9vv3Dfcd9yv3OvdM92P3ffeW96v3vffQ9+X3/vgW+C34QvhX+G34hPia+K74wfjT+Ob4+fkO+SX5OvlL+U/5Rfkz+SH5G/kj+TT5RvlU+V75avl6+Y35nvmq+bP5u/nF+dH53Pnm+fD5/foP+iX6PPpV+m/6ivqg+q36r/qn+pv6k/qT+pv6p/q1+sH6zPrU+tr63fre+t/64frl+u369/sE+xH7HPsn+zX7Svtk+4H7mfun+677svu6+8f71Pvb+9v72/vj+/f8Evwn/C/8Kvwh/B/8Kvw//Ff8a/x7/Iv8n/y3/NL87/0L/Sb9Pv1R/V39Z/14/ZX9wP3x/h7+O/5F/kL+O/47/kH+R/48/hn96v3O/fL+c/9GADoBCQGCAZ0BggFnAXMBqAHuAioCVAJxAowCoQKiAoACOQHcAX0BLADtAMAAowCUAJIAmACfAKIAoACeAKIArAC5AMUAzADNAMYAuQCmAJMAgwB3AG8AZwBbAEwAOgApABkACv/7/+z/2//J/7j/p/+W/4X/cv9Z/zv/HP8E/vn++f8A/wb/BP77/u3+4f7W/sv+vf6p/pL+eP5c/j/+Iv4H/e/92v3D/af9hP1g/UH9K/0d/RT9DP0A/PL84fzO/Lz8rPye/JX8jfyD/HP8XvxI/Dn8M/wy/DL8LPwj/Bn8E/wR/BD8DfwI/AT8BfwJ/BD8F/wc/CD8Ivwj/CP8I/wn/DD8PfxJ/FT8XPxj/Gj8ZvxZ/Ef8PfxK/HP8qvzW/OD8xvya/HP8Yfxh/GT8XfxM/Dz8Nvw+/Ej8Sfw6/B77/vvj+9D7w/u5+7D7p/uf+5X7iPt4+2j7WvtP+0b7Pfs0+yr7Ivsd+xj7FPsM+wD67/rc+sn6u/q1+rj6wPrI+sn6vvqp+o76dPpg+lH6Rfo4+ir6HPoR+gr6BvoD+f75+Pny+e356/ns+e/58vny+e756fnk+d/52fnO+cD5sPmn+an5s/nA+cb5w/m7+bf5v/nS+er5/voJ+g36D/oT+hr6Ifol+iX6JPoi+iP6Jvoq+i/6Nfo9+kn6Vvpl+nL6f/qM+pj6pPqu+rj6wPrK+tb65Prx+vz7BPsL+xL7Gfsi+yv7NPtA+037XPts+3n7g/uK+5H7m/um+7L7u/vA+8H7wPu/+7/7wfvE+8j7y/vO+9L71/vd++P75/vq++378Pvz+/j7/fwD/Aj8DfwS/Bb8Gvwc/B/8JPwp/DD8Nvw7/D78P/w+/D78Pvw+/D78PPw7/Dr8Ovw8/EH8RvxK/E78T/xO/Ev8SPxH/Er8UPxX/F38YPxj/Gn8cvx9/Ib8i/yN/I/8k/ya/KP8q/y0/L/8y/zY/OP86/zw/PT8+/0F/RL9IP0y/Uf9YP18/Zj9sP3C/cz9zf3I/cL9wf3H/db96f35/gX+D/4d/jT+T/5p/nr+gf6E/on+lf6l/rP+u/69/r7+xv7V/un+/P8L/xP/G/8n/zr/Uv9r/4P/l/+s/8L/2P/t//wABwASAB8AMQBDAFQAYgBxAIMAmQCwAMUA1wDqAQMBJAFKAW8BjwGpAb4B0AHgAfECBwIjAkUCaQKJAqQCvgLaAvsDHAM3A0wDYQN6A5sDvQPZA+0D/wQUBCoEPARBBD4EQwReBJgE5wU7BYgFzQYVBmkGzwdHB8wIVQjRCSoJSgkoCNMIZQf6B54HTQcBBrcGeAZKBi4GHAYMBfsF6wXfBdIFuQWTBWQFNwUVBPwE5QTKBK4EmQSRBJIEmASdBKIEqwS4BMAEuwSnBIsEcgRjBFoETwQ9BCcEEwQCA/ED1AOiA1oDBAKoAlECBwHQAa4BngGUAYEBWAEYAMwAhABMACgAEQAC//b/7f/n/+P/3//W/8b/sv+Z/37/Yv9F/yr/Ef77/un+2f7L/r/+tP6s/qP+mf6N/oH+d/5w/m3+bP5t/nH+df57/oH+if6R/pj+nf6f/p/+oP6j/qv+sf6y/qj+lf59/mj+Wf5Q/kn+Qf42/iv+If4a/hb+Ff4Z/iP+Mv5E/lX+Yv5s/nP+ff6K/pz+rv6//s3+2P7h/uz++f8J/xr/LP8+/1L/av+J/6//2gAJADcAYgCJAK4A0gD2ARsBQAFmAY8BvgHyAikCXwKRAr8C6wMXA0MDbgOWA7sD3wQEBCsEUwR7BKAExATnBQoFLQVQBXIFkgWzBdUF9wYZBjsGXwaDBqgGzQbyBxUHOAdcB4IHqQfOB+8IDQgqCEkIagiNCK4IzQjpCQMJHQk4CVQJbwmJCaAJtQnHCdsJ8woNCicKPQpNClkKZApvCnoKgQqCCnwKdApsCmUKXgpWCk8KSgpKCkwKTwpNCkQKOAoqCh4KFQoOCgUJ+QnpCdgJxwm5Ca8JqgmmCaAJkwl/CWgJUAk9CS0JIAkUCQkJAQj+CQIJCAkOCQ4JBwj6COwI4AjYCNQI1QjZCNwI3AjYCMgIqwiNCHUIZghgCF8IXAhUCEoIQwhDCEsIWQhnCHQIfgiKCJkIqAi1CL4IygjfCQAJKQlNCWAJYQlYCVIJWQlwCY4JqQm7CcQJygnSCdwJ6Qn3CgYKFwoqCj4KUApfCmwKeQqKCpwKrgq6Cr0Kuwq8CscK4AsCCyILOQtHC1ALXwt4C5sLwQvlDAMMGwwwDEMMVAxkDHMMgQyNDJgMoQymDKwMtAy+DMsM1wzfDOQM5wzpDOwM7QzrDOcM3wzZDNUM1AzWDNkM2wzcDN4M4QzmDO0M9w0FDRINGA0VDQsNBA0KDSENRA1pDYcNng25Dd4ODw5HDoAOuQ71DzMPbg+cD7wP2RAGEE4QrBEIEUgRZxFxEX0RmhHBEeMR8xHyEesR5xHmEeIR1xHMEcgRzxHXEdURwxGtEaMRrBHBEdERzBG2EZsRjRGTEasRzhH5EicSTRJYEjcR6xGJETYREhEnEWQRrRHrEhgSOBJSEmYScRJxEmcSWBJBEh4R6RGpEXERXxGJEfEShhMoE7YUGBRIFEcUIhPkE5kTSxMBErwSehI3Ee4RohFbESIQ/hDrEOEQ1hDHELYQqRCiEJwQkRB9EGEQRBArEBQP+w/bD7YPjw9sD0wPKw8GDtoOrg6FDl8OOw4VDe0Nyg2tDZkNiA11DWANSw06DSkNFQz4DNUMtAyfDJwMqAy8DM4M2wzlDO8M/g0SDSsNRQ1bDWYNXw1HDSYNBwz0DO0M6wzmDNgMxAywDKAMkQyBDGwMVQw/DCwMGQwCC+YLxguqC5QLhAt1C2ULVAtDCzULKAsWCvwK3Aq5CpkKfApgCkUKKQoLCe0JzQmpCYQJXgk5CRgI+QjcCMAIpQiLCHAIUQgvCA0H7QfRB7kHoAeCB2AHPgceBwEG5gbKBqwGigZlBj4GFQXrBcQFngV5BVMFKwUABNcEsQSOBGsERgQdA/QDzAOmA4EDWwM1Aw0C5QK8ApMCagJBAhgB7wHEAZYBaQE+ARgA9ADOAKMAdABGAB3/+P/S/6n/fP9O/yL++v7U/qr+fP5M/h799f3R/a79iv1j/Tz9Ffzu/MX8mfxq/Dn8Cvvg+7n7lPtv+0n7Ifr5+tT6sfqQ+nH6U/o0+hX59/nZ+bn5l/l1+VX5NvkZ+Pv42/i3+JH4avhD+B/3/vfh98n3tvej94/3d/db90D3KPcS9vz25/bQ9rv2p/aV9oL2bfZX9kL2MPYi9hX2CfX+9fP16/Xk9d712fXX9df12PXX9dH1x/W99bf1uPW89b/1vvW49bH1rfWt9bD1sfWw9a31qvWo9ar1rvWy9bb1uvW/9cb1zvXX9d314fXk9ef17PX09fz2BfYO9hj2IvYq9jH2OPZA9kz2W/Zs9nr2hvaS9qH2tPbH9tj25/b19wT3Fvco9zj3R/dX9233hveg97b3yPfY9+z4BPge+Df4TPhf+HP4ifif+LX4x/jX+Ob49vkK+SH5OPlG+Un5Pvkr+Rz5GPkh+TP5RflS+Vr5Y/lx+YX5mvmq+bT5uPm9+cX50fni+fH5/PoA+gL6B/oY+jj6Y/qL+qf6sPqs+qL6m/qb+p76ofqj+qb6q/qz+rv6v/q9+rn6t/q7+sf62frr+vv7B/sR+x77MPtG+1z7bft2+3v7gfuN+577q/uy+7H7sfu6+8775fv0+/P76Pvd++D78vwN/Cb8OvxK/F38dvyT/K78xPzW/Of8+f0M/R79Mv1N/Xb9q/3i/g3+I/4o/if+K/44/kL+O/4b/e390f3q/lT/Cv/mAK8BNQFoAV4BQwE/AWABmAHPAfMCCgIeAjYCSAJBAhQBwwFhAQMAuQCGAGUATwBDAD0AOwA5ADYAMgAxADQAPQBHAFAAVwBaAFgATwA+ACsAGgAOAAgABP/9/+//3f/I/7T/ov+R/4H/b/9Z/0D/Jv8P/vv+6P7U/r3+pP6Q/oT+gv6F/of+hP59/nX+bv5o/l7+T/47/if+E/4A/ev90/26/aH9iv1z/Vj9Of0Z/Pz85/zZ/M/8xfy5/Kz8nfyM/Hr8Z/xY/E/8TPxI/D78K/wW/AX7//wA/AP8Afv5+/H76/vp++j75Pve+9j71/vb++D75vvq++778vv0+/P78/v2+//8CvwT/Bn8Hfwh/Cr8Mfwx/Cj8GvwU/B38MfxD/Ef8Pfwx/DP8Rfxd/Gn8X/xE/Cn8H/wo/Dj8Pvwv/A775/vG+6/7ofuX+437hPt8+3f7cfto+137UPtD+zb7Kvsf+xT7C/sG+wT7Afr7+u/63frH+rL6pPqf+qL6q/q1+rr6tvqp+pT6e/pk+k/6Pvou+h/6EfoH+gH5/fn7+fX57fnj+dz52fnb+d753/nd+dv52/nc+dv51fnF+a/5nPmT+Zr5qvm6+cD5u/mx+a75t/nL+eP59fn++gD6AfoI+hP6IPoq+i76Lvos+ir6KPon+ij6LPo0+kL6Uvpj+nP6g/qR+p76qPqx+rj6v/rI+tT64frt+vj7AfsJ+xL7G/sk+yv7NPs++0z7W/tq+3T7fPuC+4r7lfui+6/7uPu/+8L7xPvH+8n7zPvP+9P71/vc++H75vvp++z77fvv+/L79vv8/AL8B/wL/A78EvwY/B/8Jvwq/Cz8Lfwv/DP8OvxB/Eb8R/xG/EX8RPxE/EP8Qfw+/Dz8PPw+/EH8RPxG/Ef8SPxI/Ef8R/xI/E38U/xa/F78YPxh/Gb8cPx7/IX8ivyL/Iv8jvyU/Jr8oPym/K38tvzD/NH83fzl/O389v0C/RH9JP04/U39ZP17/ZL9p/24/cT9yv3K/cn9yv3O/db93v3k/ev99f4G/iD+Pf5Y/mr+dP55/oD+iv6Y/qX+r/61/rv+xf7V/uf++f8G/xH/G/8p/z3/VP9q/3z/jf+f/7b/z//n//kABQAPABsAKwA/AFMAZgB5AI8ApgC8AM4A3QDtAQQBIwFGAWkBhgGdAbEBwwHUAegB/wIdAkACYwKAApYCqgLBAtwC+AMQAyQDOQNVA3gDnAO5A9AD5QP/BB0ENgRCBEIERwRmBKgFCAV0BdYGJQZjBpsG3gc7B7kIVAjzCXEJqwmOCSgInwgYB6oHUwcJBsEGfgZIBiQGDgX8BekF1gXEBbIFnQWBBV0FOAUWBPUE1ASzBJUEggR+BIQEjQSUBJkEoASoBK4EqwSbBIQEbwRhBFkEUARABCsEFgQDA/AD1QOpA2gDFgK7AmUCHgHtAdIBxAG2AZoBaQEoAOEAoABsAEYAKAAR//7/8P/o/+H/2P/L/7r/pv+P/3b/W/8//yX/Dv77/un+1/7E/rP+p/6f/pn+kv6H/nr+bf5k/l/+X/5j/mr+c/58/oX+jP6T/pf+mv6c/p7+ov6r/rX+vv69/rL+nf6F/nD+Yv5Y/lH+Sf5A/jf+L/4p/iT+I/4n/jP+R/5e/nL+f/6G/ov+kv6d/qv+u/7J/tX+4f7u/vz/DP8c/y3/Pf9P/2T/ff+c/8D/6QAUAD8AaACQALgA3wEEASYBRwFqAZMBwwH5AjACZAKTAr8C7QMcA0wDeQOiA8YD6QQMBDIEWQR+BKMExgTqBQ0FLwVQBXAFkAWxBdIF8wYUBjUGVwZ6Bp8GxQbqBxAHNgdfB4cHrQfPB+wICAgmCEcIaQiLCKsIyAjjCP0JGQk2CVQJcQmNCaUJuQnKCdsJ8AoKCicKQgpYCmcKcgp8CoUKjQqQCo4KiAp/CnQKaQpeClgKVgpbCmIKZgpjClgKRgoxCh0KCgn3CeYJ1QnECbUJqQmhCZwJmwmZCZUJiwl7CWcJVAlECTYJKwkhCRgJFAkUCRgJHQkfCRsJDwj+COwI3QjUCNMI2gjjCOoI6gjeCLUInQiJCH4Iegh7CHgIbghcCEoIQAhDCFEIZAhxCHgIewiCCI4InwiwCMAI1Qj2CSQJWAmCCZcJlgmLCYMJhwmUCaEJpwmkCZ4JnAmhCa4JvgnPCeEJ9AoGChcKKAo5Ck8KaAqBCpcKpQqrCqsKrAq1CsgK5QsECyALMgs+C0kLWwt4C54LyAvtDAkMHQwrDDcMRAxQDF0MaQx1DH8MhwyPDJgMowyxDMAMzQzVDNgM2AzYDNsM3gzgDNwM1QzODMwMzgzUDNgM2QzYDNoM4QzrDPYNAQ0KDRANEg0QDQwNDQ0aDTUNWw2CDaQNwQ3fDggOQA6DDssPEA9PD4EPpw/AD9gP/RA8EJYQ+BFIEXYRhRGIEZMRrhHREesR9BHwEegR4RHaEdERyxHREeYSABIIEfIRxBGaEZARqhHVEe4R3xGvEXURTxFJEWERkhHUEiASZRKGEmsSEhGXESoQ9REEEUURlBHYEgoSLxJQEmsSeRJ4EmgSURI0Eg4R2xGhEXIRbBGiEhcStBNSE80UERQeFAYT4RPBE6wTnBOKE2kTMxLnEoUSFxGrEVARERDuEN8Q1xDLELwQrRChEJkQjhB+EGcQThA3ECEQBw/nD78Plw9zD1QPNQ8SDukOvw6YDnUOUg4vDgwN7Q3UDcENrQ2WDXwNZg1ZDVINRg0tDQYM3Ay+DLUMwQzYDPENBw0bDTENSw1oDYgNpg29DccNvg2jDX0NWA07DSgNGw0LDPcM4QzODL8MsQyhDI0MeAxlDFMMPQwiDAML5AvOC8ALuAutC50LiQt0C2ALSwsxCxIK8QrSCrcKnwqGCmkKSgopCggJ6AnFCaIJfgleCT8JIgkFCOcIygitCI8IbwhMCCoICgfvB9UHuwedB30HXAc/ByMHCAbqBsoGpwaDBlwGNQYOBegFxAWhBXsFUwUpBQEE2wS3BJEEZwQ8BBID6wPHA6MDfANUAysDAwLcArMCiAJcAjMCDAHmAb4BlAFqAUIBGwDzAMgAmgBsAEIAHf/6/9b/rf+B/1X/K/8C/tf+qf56/k3+Jv4D/eH9vf2V/Wv9Qf0X/Oz8v/yR/GP8OPwQ++z7yful+377Vfss+wT64Pq++p76f/ph+kT6JfoG+eT5wvmg+YL5ZvlK+Sz5Cvjk+L34lvhx+E34LPgO9/b34vfP97v3oveI92/3WfdG9zH3GvcA9ub20Pa+9q72m/aG9m/2W/ZK9jz2L/Yj9hj2DvYH9gH1/fX79fr1+fX29e/15fXb9dX11fXX9dn11/XR9cv1yPXI9cn1yfXG9cH1vPW69b31wfXG9cn1zPXR9dr15fXu9fT19fX29fj1/vYH9hH2GvYj9i32NvY99kH2Q/ZJ9lX2Z/Z69on2k/ac9qn2vPbS9ub29fcC9w/3Ifc190j3WPdo93r3kPep98D30vfi9/T4Cvgl+D/4Vfhn+Hj4i/ig+LX4x/jX+Ob49/kN+Sb5PflL+Ur5PPko+Rn5FPke+S/5QflN+VX5X/lv+YX5nfmv+bb5s/mw+bP5wfnX+ez59fnu+d/51fnf+gP6Ofpx+pr6sPq2+rf6uPq8+rv6tPqo+p/6nvqk+qv6rvqo+p76lfqV+p/6sfrG+tr67Pr7+wv7HPss+zv7RvtN+1T7Xvts+3v7h/uM+4z7jfuV+6P7sPu2+7H7qfum+7D7xvvg+/X8BvwX/C/8Tfxr/ID8i/yS/J78s/zO/O79D/03/Wf9nv3Q/fT+BP4J/hD+Hv4t/jD+Gv3v/cr9z/4a/q7/awAkAKsA7QD5APAA9gEZAU8BgQGdAaIBoAGmAbUBvQGtAXoBKwDTAIcATgApABD//v/x/+j/4f/b/9b/1P/W/9z/4//p/+3/7//x/+//5f/U/7//rP+h/57/nv+c/5L/gf9r/1X/Qf8w/x//C/7x/tL+sP6R/nj+Zf5V/kX+NP4l/hn+E/4P/gr+Av34/fD96v3k/dr9y/26/az9of2Y/Yz9ev1j/Uv9M/0d/QX86vzP/Lf8pPyU/Ib8ePxq/F78VPxJ/Dr8KPwW/Av8B/wH/AP7+Pvp+9r70vvR+9H70PvN+8v7y/vM+8r7xPu7+7P7r/uu+7D7sfuz+7j7vfvC+8T7xPvG+8v70vvY+9r72vvc++b79fwB/AP7+vvu++X74/vi+9/72/vg+/b8HPxB/FT8S/wu/A/8AfwI/Bn8IfwV+/b70Puw+5v7jvuC+3T7ZftZ+1L7UftP+0n7P/sx+yP7FfsH+vv68frq+uj66Prl+tv6yfq0+qH6lPqP+o/6lPqZ+p36n/qb+o/6fPpl+k36N/ol+hb6CPn8+fP57vnr+eX53PnR+cf5w/nE+cb5x/nG+cb5yvnR+dX50Pm/+aX5j/mF+Yz5nPms+bP5sPms+a35uPnL+dz55fnm+eP55Pns+fz6Dvoe+in6MPoz+jT6M/ow+i/6Mfo3+kL6UPpg+nD6f/qN+pn6o/qr+rP6vPrH+tX64/rv+vn7AvsL+xf7I/st+zX7O/tE+077Wvtl+2z7cft2+337iPuU+577pvus+7L7ufvA+8f7zPvR+9b73Pvj++r77vvw+/L78/v1+/j7/vwE/Ar8D/wT/Bb8Gvwh/Cr8M/w5/Dv8Ofw4/Dv8QfxJ/E/8UPxP/Ev8SfxH/Eb8RfxD/EH8QfxC/EL8QvxB/D/8P/xA/EL8Q/xG/Ev8UfxY/F38YPxi/Gf8b/x6/IT8ivyL/Iv8jPyQ/JT8mPyb/KD8p/yz/MH8z/zb/Ob88v0B/RP9KP08/U79Xv1s/Xv9iv2Z/ab9sv27/cT9zf3V/dr93P3d/eD96f36/hH+Kv5B/lP+X/5p/nH+e/6G/pL+nv6p/rX+w/7T/uT+9v8F/xT/I/80/0n/Xv9v/33/iv+a/7H/zf/n//wACAARABsAKwA/AFQAagB/AJYArADAANEA3gDuAQIBHgE8AVkBcgGIAZ4BswHJAd8B9wISAi8CTAJlAnsCjwKmAsAC2gLxAwcDHwM+A2IDhQOhA7gD0APtBA0EJQQtBCwENARaBKcFEwWHBe0GPAZ3BqsG6Ac8B7EIRAjhCWcJrgmiCUkIwwg4B8EHYgcQBr8GcgYyBgUF6wXaBckFtgWhBY8FfAVnBU0FLwUPBO4EygSnBIkEdwRzBHsEhgSNBJAEkASTBJgEmgSUBIgEeARqBF8EVQRHBDYEIwQSA/8D5QO8A38DLwLXAoMCQAITAfkB5wHRAawBeQE8AP4AxgCUAGgAPwAdAAT/9f/s/+P/1f/C/63/l/+D/2//WP9B/yr/Ff8D/vD+2/7G/rP+pv6d/pf+kP6F/nj+a/5h/lv+Wv5c/mL+a/51/n7+hf6K/o3+j/6S/pf+n/6r/rn+w/7F/r7+rv6c/oz+f/50/mn+Xf5R/kj+Q/4//j7+P/5H/lb+bf6F/pn+pf6q/qz+sP63/sD+yf7T/t7+7P79/w//If8y/0L/VP9p/4H/nf+8/94AAwApAFEAeQCiAMoA8AETATIBTwFvAZgByQIBAjgCagKXAsEC7gMeA08DfQOnA84D8wQZBD4EYwSFBKUExwTpBQ0FMAVRBXEFkQWyBdIF8gYRBjAGUQZ1BpsGwQbnBw4HNQdfB4gHrgfPB+wICQgoCEoIbAiNCKoIxgjhCP0JGQk3CVQJcgmPCaoJwQnUCeYJ+QoQCioKRQpeCnIKgAqMCpQKmgqdCp0KmQqSCokKfwp3CnMKcwp4CnwKewp0CmYKUgo7CiAKBAnpCdIJwgm7CbsJvQm9CboJswmqCaAJlgmLCX4JcAliCVUJSQlACTcJMQkrCSUJHQkUCQkI/QjwCOUI3AjXCNgI3AjhCOII2wjLCLoIrgikCJ4ImgiWCI0IfQhoCFUITAhQCF4Ibgh4CH0IggiMCJ4IsQjDCNII5QkFCTMJZQmPCacJsQm1Cb4JywnTCc4JuwmhCY0JhwmOCZ0JrQm9Cc4J4QnzCgMKEAoeCjEKSwpoCoAKjgqRCpAKkwqfCrYK1ArzCw8LJQs3C0gLXAt4C5wLwgvmDAIMFAweDCUMLQw3DEMMTwxcDGgMdAx/DIoMlQyiDLEMvgzHDMsMywzKDMwMzwzRDM4MyQzFDMcMzwzYDN0M3AzZDNwM5gz1DQQNDQ0QDRENEw0XDR0NJg01DU4NcQ2aDcIN5w4NDjsOdg6/Dw8PWw+YD78P0w/eD/EQHBBmEMQRIRFlEYcRkRGVEaQRvRHXEeYR5xHfEdMRxhG5EbIRvxHnEiESUBJUEh8RyRGAEWwRkRHOEfQR5RGpEWARKxEZESYRSBF7EbsR+hIgEhMRzRFnEQ4Q5hD7EToRgxHBEfASFxI8El0SbxJvEl4SRRIoEgMR1BGeEXIRaBGTEfMSdBLyE1ATfROCE3UTcBOAE6QTyxPgE9UTpRNUEukScBH1EYcRMxD/EOUQ2hDSEMUQtRCoEJ0QkhCDEG4QVxBAECoQEA/vD8gPoQ9/D2EPRQ8lDv8O1g6vDosOaQ5JDioOEA36DeYNzQ2vDZINfQ11DXUNcA1bDTUNCgzpDN0M5wz+DRsNOw1dDYENpw3LDekOAQ4RDhcODw34DdYNrw2LDWwNUg06DSMNDwz+DPAM4AzMDLcMowyQDH0MZAxFDCIMBAvxC+gL4gvYC8gLswudC4YLawtLCygLBgrqCtQKvgqkCoMKYAo+Ch4J/wnfCb4JnwmCCWgJTAktCQsI6gjKCK0IjwhwCE8ILwgRB/QH1ge1B5QHdAdYBz4HIwcFBuQGwgadBngGUgYsBgYF4wXABZ0FdwVRBSsFBQTfBLYEiQRdBDQEDwPrA8UDnANwA0YDHwL6AtICpgJ5Ak4CKAIFAeEBuQGOAWQBPAEWAO0AwQCUAGoARQAkAAP/3v+z/4b/Wv8v/wT+2f6t/oP+XP44/hX98f3J/Z39cP1D/Rb86fy9/JP8avxE/CD7/PvX+7D7iPtf+zj7FPrx+tH6sfqS+nP6U/oy+g/57fnM+a75k/l2+Vb5MvkL+OT4v/id+Hz4XPg/+Cb4Evf/9+v30ve39573ifd292L3Svcv9xP2/Pbo9tf2xPau9pf2gvZx9mT2WPZL9j32MPYn9iH2HvYc9hv2GPYU9gz2A/X59fP18PXw9fD17vXp9eT14PXf9d713fXY9dP1z/XP9dL12PXc9d714fXl9e71+PYA9gP2A/YD9gj2EfYb9iX2LfY09j32RvZM9k/2T/ZS9l72cvaI9pr2pfat9rj2y/bi9vf3B/cR9x33LfdC91j3avd594j3m/ez98r33vfv9//4FPgs+Eb4XPhu+H34jvih+Lb4yfja+Or4/fkV+TD5R/lU+VL5Qvks+Rr5E/kZ+Sn5OvlJ+VT5YPlx+Yf5n/mu+bH5qPme+Z75rPnG+d755/nb+cX5tPm7+d/6F/pT+oT6pfq7+s363/rt+vD65frS+sD6tvqz+rL6q/qc+or6e/p2+nz6i/qd+rH6xvra+u36//sN+xj7Ivsr+zb7QftN+1b7XPte+1/7Yvto+3D7dvt3+3b7d/uA+5L7qfu++9D73/vx/Aj8IPw0/ED8R/xQ/GX8hvyv/Nr9Bf0x/WD9jv2z/cr90/3Z/eL97/32/ev9zP2o/Z/9zf47/tb/d//2AD4AVwBeAHEAoQDmASgBUgFbAU8BPQEzASwBHgD7AMMAfwBAAA7/6//S/77/rP+f/5X/j/+K/4j/iP+N/5T/mf+a/5j/lP+R/43/g/9x/1v/R/87/zf/Of85/zL/JP8R/v3+6/7a/sn+s/6X/nb+Uf4u/hD9+P3l/dT9xP22/ar9of2Z/Y/9gv11/Wr9Yv1b/VH9Rf03/S39J/0j/Rz9EPz//Oz82vzI/LT8nfyG/HL8YPxQ/D/8LPwb/A/8CfwE+/v77fvc+8/7yPvI+8n7xvu++7P7qfui+577nPuc+6H7qPut+637pvub+5H7ifuG+4P7gfuC+4b7jfuT+5X7kvuQ+5H7l/ud+6H7ovuk+6v7uPvG+8z7yfvB+7n7tPux+6z7p/us+7/74PwD/Bb8Efv5+9/70fvX++b77/vn+8/7sfua+4z7hPt6+2j7Uvs9+zD7LPsq+yf7H/sU+wf6/Prx+uX62frQ+sv6yvrI+sH6tPqk+pb6jfqJ+ob6gvp9+nr6evp7+nj6bfpb+kX6MPof+hD6Afnz+eb53PnV+c/5xfm5+a75qPmn+aj5qvmq+az5svm8+cP5wPmy+Zz5ifmB+Yf5lPmi+an5q/ms+bL5vfnJ+c/5zvnJ+cb5yfnU+eX59/oJ+hf6I/ot+jT6Ofo8+j76QPpE+kv6U/pd+mj6dfqC+o76mfqi+qz6ufrI+tj65/ry+vr7AvsN+xv7K/s4+0L7SftQ+1j7YPtm+2r7bftw+3f7gPuJ+4/7k/uY+577qPuy+7z7w/vK+9H72fvi++r77/vy+/X7+fv+/AT8CvwQ/BX8Gfwc/B/8JPwq/DP8PPxC/ET8RPxD/ET8SvxQ/FX8VfxS/E38SvxI/Ej8SPxH/EX8RfxF/EX8RPxB/ED8P/xA/EH8QfxB/ET8SPxQ/Ff8Xfxh/GX8a/x0/H38g/yH/Ij8ifyL/I78kvyW/Jv8o/yu/Lv8yPzU/OD87fz9/RH9Jf03/UX9Tv1W/V39Z/10/YP9lP2l/bb9xf3P/dT91P3U/db93v3r/fv+Dv4h/jP+RP5S/l7+Z/5w/nr+hv6V/qb+t/7J/tz+7/8B/xP/J/87/1D/ZP91/4H/jf+d/7X/0f/sAAAADAAUAB0AKwA9AFEAZAB2AIkAnQCxAMIA0wDkAPoBFAEvAUgBXwF1AY4BqQHDAdsB8AIDAhgCLwJHAmACfAKZArUCzwLlAvsDFAMyA1IDcAOIA54DuAPWA/IEAQP/A/gEBAQ1BIwE9wVeBbMF+QY+BowG5wdKB7EIHQiKCOsJKQkxCP4InggrB70HWgcABqkGWAYUBeUFyQW4BagFlAV/BWwFWgVGBS4FEgT1BNcEugSeBIYEdwR0BHwEhgSLBIoEhASBBIUEjQSTBJEEhwR5BGsEYARWBEwEPwQuBBkD/APQA5IDRALwAqECZAI8AiICCwHtAcMBkAFaASYA9ADAAIkAUwAmAAf/9//w/+f/1//A/6f/kf9//27/XP9I/zT/H/8M/vf+4f7N/rr+rP6i/pj+jf6A/nX+a/5l/mH+X/5f/mP+aP5v/nb+e/5+/oD+g/6I/o/+mv6o/rj+xv7M/sr+w/65/q/+p/6c/o7+fv5w/mb+Yf5g/mH+Zf5v/n/+lf6s/r7+yf7N/s7+0f7W/tv+4P7m/u7+/P8N/x//Mf9C/1T/af+D/6D/v//fAAEAJgBMAHQAnADDAOkBDQEtAUsBZwGHAa8B3wIUAkkCeQKjAswC9gMiA1ADewOkA8wD9QQeBEYEagSKBKkEyQTtBRIFNwVYBXcFlQWzBdIF8AYNBiwGTQZyBpoGwQboBw4HNQddB4UHqwfOB+4IDggvCFEIcgiRCK4IyAjhCPwJFgkyCU0JagmHCaQJwAnZCe4KAQoTCicKPApTCmsKgQqTCqAKpwqrCq0KrAqqCqYKoAqbCpcKlgqUCo4KhQp4CmoKWgpJCjQKGwoCCe8J6QnvCfsKBgoGCfkJ5AnMCbcJqAmdCZQJiAl6CWsJXglVCU8JSglACTMJIgkRCQQI+gjzCO8I6wjpCOcI5QjiCNwI0wjHCNMIzQjDCLYIqAiaCIwIfghwCGQIYAhlCHAIfAiECIoIkwijCLkIzwjdCOcI9AkNCTQJYAmJCacJwAnbCfkKEQoWCgAJ1wmuCZgJmQmqCb0JyQnQCdkJ6Qn9Cg4KFgoaCiIKMwpMCmQKdAp5CnkKfQqJCqAKvgrfCv8LGwszC0cLWwtzC5ILtgvZC/UMBwwQDBYMHAwmDDMMQQxPDF4MbQx6DIQMjgyYDKMMsAy6DMAMwgzBDMEMwQzBDL0Mugy6DMEMzwzdDOMM4QzdDN4M6gz8DQwNFQ0WDRcNHA0oDTUNQg1RDWYNhw2yDeIOEQ4/DnEOrw76D0oPkw/ID+MP7A/yEAgQORCEENsRKBFeEXsRihGYEasRwRHPEdIRyxG/Ea4RmhGGEX8RmhHaEi4SahJoEhwRqhFMETARWBGdEcoRwxGPEU8RIxERERARFBEbESsRRhFcEV0RQBESEO0Q6hELEUMRexGoEc0R8RIYEjoSTxJREkQSMRIaEfwR0hGfEW8RVRFjEZkR6RI+EoASqBK6EsoS6RMcE1kTjxOoE5sTaxMhEsYSYxH9EZwRTBETEPMQ5RDdENMQxRC1EKcQmRCJEHQQXRBFEC0QFA/2D9QPsQ+RD3YPXA89DxkO7w7GDqEOgA5iDkcOLg4XDf8N4w3GDawNnA2YDZkNkQ16DVYNMA0VDQ8NGw0zDVMNeg2oDdoOCg4wDkgOVg5cDl4OWg5MDjMOEQ3tDckNqg2QDXwNbQ1eDUsNMw0XDPoM4gzNDLYMmAxzDE0MLQwYDAoL/gvtC9gLwwuvC5sLgQtgCzwLGwsCCuwK1Qq3CpIKbApLCi8KFQn5CdsJvwmmCY4JcwlSCSwJBwjnCMsIsQiVCHYIVgg3CBkH+QfWB7IHkAdxB1UHOQcbBvoG2Aa2BpQGbwZKBiQGAAXdBbsFlwVzBU4FKAUBBNcErASBBFoENgQRA+kDvAOOA2QDPgMaAvQCyQKcAnACSwIoAgMB2gGsAYABVwEyAQ0A5gC7AJIAbQBNAC4AC//i/7T/hv9a/zD/B/7e/rX+jv5o/kX+IP34/c39n/1w/UP9F/zu/Mb8nvx3/FH8K/wF+977tvuO+2j7RPsj+wP64/rD+qL6f/pd+jr6Gfn5+dv5vfme+Xz5Vvkv+Qr46fjJ+Kv4jPhv+Fb4QPgt+Bj3//fl98v3tPeg94z3dvde90X3LfcX9wL26vbR9rr2qPaa9pD2hPZ09mL2UvZG9j/2PfY89jr2NvYv9ib2HPYS9gr2BvYE9gP2AfX+9fr19/X09fL17/Xr9eb14/Xj9eb16/Xu9fH18vX39f72BvYN9g/2EPYR9hj2IvYu9jf2PPZB9kj2UvZa9l72XvZg9mv2f/aX9qv2uPbB9sv23fbz9wn3GPci9yv3OvdP92X3ePeG95P3pPe699L36Pf6+Av4Hvg1+Ez4Yfhz+IP4lPio+L340fjj+PP5Bfka+TP5SflW+Vb5Sfk0+SD5FfkY+SX5N/lI+Vb5Yflv+YL5lPmh+aP5mvmQ+Y/5nvm4+dH52vnQ+br5qvmw+dD6A/o6+mn6j/qx+tT69/sS+x/7G/sK+vf65frW+sT6rPqR+nf6Z/pi+mf6cfp9+or6mvqs+r/60Prf+uz6+PsE+xH7HPsj+yX7Jfsm+yn7Lvs0+zr7P/tE+0v7WPtp+337kfuj+7T7xPvU++P77fvy+/f8BPwd/EP8cvyj/NH8/f0o/VP9dv2O/Zf9mv2c/aP9pv2c/X/9Wv1F/Vv9qP4j/q7/Jv90/5z/sf/OAAMATwCfAN0A/QEAAPEA3ADFAKcAfgBJAA7/2v+1/53/jf99/2z/W/9Q/0r/SP9H/0b/R/9M/1H/VP9S/0v/Q/8+/zn/Mf8j/xH+//7y/u3+6/7p/uT+2/7Q/sT+t/6m/pL+eP5b/jr+F/3x/cz9p/2G/Wj9UP0+/TT9Lf0n/R79EP0A/PH85fzb/NL8yPy9/LX8rvyp/KP8m/yS/Ir8gfx2/Gj8VPxA/C78HvwR/AH77vva+8v7wvu++7r7sful+5n7kfuQ+5H7kfuN+4b7fPty+2r7Z/tp+3H7e/uE+4b7gvt5+3H7avtl+2H7Xftb+177ZPto+2f7Yftb+1n7X/tn+277cvtz+3f7fvuH+4z7jPuL+4r7jPuN+4r7hfuC+4r7nfu1+8T7xPu1+6L7mPub+6b7rvur+5z7iPt7+3b7dftv+1/7R/st+xn7DfsH+wH6+frv+ub63/rY+s76wvq2+q76qvqp+qb6nvqU+o36ifqH+oL6d/pp+lz6VvpW+lb6UfpE+jP6I/oX+gz5//nv+d750PnG+b75tPmo+Zv5kfmO+Y75j/mR+ZP5l/me+aP5ovmZ+Y35g/mC+Yn5lPme+aX5qvmv+bf5vvnB+b75t/my+bT5vfnL+dv56vn3+gT6EPod+ij6M/o7+kP6SfpP+lP6Vvpb+mP6bvp7+oj6k/qe+qj6tfrE+tT64vrs+vP6+/sH+xf7Kfs6+0f7Uvtb+2T7a/tx+3T7d/t6+4D7h/uM+4/7kPuS+5f7n/up+7L7uvvB+8r71Pve++b77Pvw+/X7/fwG/A/8Ffwa/B38IPwj/Cb8Kfwu/DT8O/xC/Eb8SPxJ/Ev8UPxU/Fb8VfxS/E38SvxJ/Er8SvxI/Eb8RfxF/EX8RfxF/EX8RvxG/ET8Qfw+/D38QPxH/E/8V/xc/GD8Y/xo/G78dfx6/H38f/yC/Ib8i/yQ/Jj8ofyt/Lr8xvzQ/Nv85/z3/Qr9Hf0t/Tf9PP0+/UL9Sf1W/Wf9fP2S/aX9tP29/cD9wP3B/cT9zP3W/eL98P4A/hL+Jv44/kb+T/5W/l/+bP59/pH+pf65/s7+4v74/w3/Iv84/0//ZP92/4T/kv+j/7r/1f/t//8ACgARABoAJwA3AEcAVgBkAHQAhgCaAK8AxADaAPEBCwEjATsBUgFrAYcBpQHBAdcB5wH0AgMCFgIvAk0CbgKPAqwCxALYAuwDBAMfAzsDUwNnA30DmAO0A8gDxwO3A6wDwAQCBGYEzwUkBWEFmwXtBmMG6wdnB8EH9wgaCDsIXAhuCGEILQfdB4EHJgbTBocGRQYPBecFywW0BZsFfwVkBU0FOAUjBQkE7QTSBLsEqASWBIYEegR3BHwEhQSKBIYEfAR0BHYEgASMBJAEigR+BHIEbQRtBGwEZQRUBDgEEwPhA6EDVQMFAr0ChQJhAkgCLwIMAd8BrgF+AVIBJQDvALEAcQA5ABQAAf/4/+7/3P/E/6v/lf+E/3X/ZP9R/z3/KP8T/v7+6v7Y/sj+uv6s/pz+jf5+/nT+bv5r/mr+af5p/mr+bf5x/nT+dv53/nn+ff6D/oz+mf6q/rz+zv7a/t/+3f7Z/tP+zf7D/rX+pf6W/ov+hv6F/ob+if6R/qD+tf7K/tv+5P7o/uv+7v7z/vn+/f8B/wn/FP8j/zP/RP9V/2r/hP+h/8D/3wAAACMASwB1AJ8AxQDpAQwBLgFQAXEBkQGyAdgCAgIwAl4CiQKyAtoDAwMtA1YDfQOiA8gD8QQbBEQEaQSLBKsEzwT2BR8FRQVmBYMFngW5BdYF8wYQBi8GUQZ2Bp4GxwbvBxUHOgdgB4UHqwfOB/EIEggzCFQIdAiSCK0IxQjbCPIJCQkiCT0JWAl1CZIJsAnNCegJ/goPCh4KLQpACloKdwqSCqYKswq6Cr4KwArBCsAKuwq0Cq0KpgqeCpUKiQp+CnUKcApqCmIKVQpGCjwKPApECk0KTwpDCigKBQnjCccJtgmsCaMJlgmGCXYJaQljCWEJYAlZCUwJPAkrCR0JFAkOCQkJAwj8CPYI8AjpCOMI3QjYCOUI3wjRCL4IqgibCJEIigiFCH8IfQiBCIoIkwiZCJwIowixCMQI2AjmCPAI/AkTCTYJXgmECaQJxQnsChUKMQoxChEJ4Qm5CbEJyAnuCgsKFAoPCgoKEQoiCjAKNAouCigKLwpCClsKbwp6Cn4KggqOCqQKwgriCwILHQszC0ULVgtsC4kLrQvQC+wL/QwGDAwMFgwjDDMMQQxPDFwMawx4DIMMjAyTDJsMpgywDLcMugy5DLgMuAy1DLEMrQyuDLgMygzbDOUM5QzhDOIM7Az8DQwNFQ0YDRwNJg02DUcNVg1nDX8NpA3VDgoOPQ5vDqUO5w80D4EPvw/lD/IP9hABECMQWxCiEOcRHRFDEV4RdhGREaoRuhG9EbURqRGcEYwRdBFZEUoRXhGYEeUSGhISEccRWxEGEO8RFhFUEX4RfRFcETgRJREjER8RDBDsEM4QvxDBEMoQ0hDZEOgRBBErEVIRchGLEaURxRHrEgsSHhIiEhwSExIHEfMR0RGhEW8RSRE7EUgRbBGaEccR7BIKEioSUhKDErMS1RLcEsUSmBJiEisR9RG8EYERSREcEQEQ9BDsEOIQ0xDBEK4QnRCLEHYQXxBHEDAQGA/+D+APwg+mD4wPcQ9TDy0PBA7bDrYOlw56DmAORQ4qDg8N9Q3fDdANyg3IDcMNsQ2SDW0NTg0/DUMNVg1yDZYNwg35DjMOaA6ODqEOpg6mDqYOpQ6hDpMOfQ5gDkEOJQ4ODf4N8A3gDccNpQ1+DVcNNg0aDPwM1gyrDIAMXAxCDC0MFQv5C9sLwguwC58LigtuC04LMQsaCwUK6grICqAKewpdCkcKMQoYCf0J4gnKCbMJlwlzCUsJJQkFCOwI1Ai5CJkIeAhaCD0IHwf+B9kHsweQB28HUAcwBw8G7gbNBq0GiwZnBkEGHQX6BdcFtAWQBWkFQwUcBPQEzASkBH4EWQQzBAkD3QOwA4UDXwM7AxUC6wLBApgCdAJQAioB/QHMAZwBcQFNASsBBgDeALcAkwBzAFUANAAM/9//sf+F/1z/NP8L/uH+uf6S/m3+SP4g/fT9x/2a/XD9SP0h/Pr80vyq/IL8Xfw3/BD75/u++5b7cvtR+zP7E/ry+s76qvqH+mX6Rfom+gb55fnD+Z/5evlW+TT5Ffj3+Nn4u/ic+IH4afhT+D74JvgN9/L32vfD96/3m/eG93H3XPdE9yr3D/b09t72z/bF9rv2rvab9ob2cvZk9l72XPZc9lr2U/ZK9j72M/Yo9h/2GfYW9hT2E/YS9g/2DPYI9gX2APX89ff19PXz9fb1+vX99gD2AvYG9g32FfYc9h72H/Yh9ij2MvY+9kb2SvZN9lL2W/Zl9mv2bvZy9nz2jvak9rj2xfbP9tn26vb/9xX3Jfcw9zr3SPdb93D3g/eR9573rffB99j37/gD+Bb4Kfg9+FL4Zfh3+If4mviv+Mb42vjs+Pv5Cvkc+TD5RPlS+Vb5Tfk8+Sj5G/ka+SX5OPlK+Vf5X/ln+XP5gfmO+ZT5kfmM+Y75nfm0+cv51PnN+b35s/m6+dX5/voq+lP6ePqe+sn69PsZ+y/7Nfst+x/7DPr0+tT6rfqG+mn6WvpZ+mD6aPpt+m76cvp7+on6mvqr+rr6yfrW+uL66frs+uv66vrs+vL6+fsB+wj7Efse+zD7Q/tV+2P7cPt++4/7ofuv+7T7svuv+7j70/v+/DH8YfyL/LL82/0J/TT9U/1i/WT9Y/1m/Wr9Yf1D/RL85PzW/Pv9U/3I/jn+kv7O/vr/Kv9q/7gABgBGAG0AewB4AGsAWAA8ABP/3/+m/3L/T/88/zT/Lv8k/xf/DP8G/wb/CP8J/wj/B/8K/w7/D/8L/wP++/73/vX+8/7t/uP+1/7N/sb+wf68/rf+tP6z/rL+rf6f/of+af5I/ib+A/3b/av9c/06/Qf84PzJ/MD8wPzA/Lr8rfyb/If8dvxp/F/8V/xO/Eb8Pvw3/DH8Lfwr/Cr8Kfwl/Br8Cvv3++f72/vS+8f7uPul+5P7hvt++3n7dftu+2b7X/ta+1j7V/tU+0/7SPtA+zn7Nfs2+zz7RvtP+1T7VvtU+1H7TvtL+0b7QPs8+zz7Pfs9+zn7Mvss+yr7Lvs1+zr7PPs8+z77Q/tK+1D7VPtW+1n7XPtf+1/7W/tY+1r7Y/ty+377gPt4+2v7Yvtg+2X7avtp+2H7V/tQ+1D7U/tS+0j7Nfse+wn6+vrv+ub63PrS+sn6wvq7+rD6ofqT+or6iPqL+o36i/qF+n/6ffp8+nf6a/pZ+kf6Ovo2+jT6L/om+hn6DvoH+gL5+fns+dv5y/m/+bb5rfmh+ZP5iPmB+X/5gPmA+X/5gPmA+YH5fvl6+Xf5ePl++Yj5kvmZ+Z/5pfmt+bX5ufm2+a75pvml+a35vPnM+dr55fnu+ff6AvoN+hj6Ivot+jf6QfpJ+k76UvpW+l76avp5+oj6lPqd+qX6rvq6+sf61Prf+un68vr++w37Hfsu+z77Tfta+2f7cvt7+4H7hvuL+5L7mfue+6D7oPug+6P7p/uu+7T7uvvB+8n70/vc++T76fvt+/P7/PwG/BD8F/wc/B78IPwj/Cb8Kfws/DH8N/w9/EP8R/xK/E78UfxU/FX8VPxS/E/8TfxN/E38TfxK/Ef8Q/xB/EH8QvxD/EX8RfxF/EP8QPw8/Dr8O/xA/Ej8UPxW/Fn8W/xc/F78Yvxn/G38cvx3/Hz8gvyI/JD8m/yo/LX8wfzL/NX84Pzv/QH9E/0h/Sr9LP0s/S39M/1B/VX9bf2E/Zf9ov2n/af9p/2p/a/9uP3B/cv91/3l/fj+C/4d/ir+M/48/kf+Vv5p/n7+k/6o/r7+1f7s/wL/Gv8x/0r/Yf92/4f/l/+o/73/0//n//b//wAGAA8AHAArADoARwBVAGQAdwCMAKIAuQDQAOkBAQEZATABSAFkAYIBnwG4AcsB1wHiAfACBAIeAjwCXAJ6ApMCqQK8AtEC6wMGAx8DMgNDA1gDcQOIA48DfwNiA1YDegPVBFEExgUVBUIFcQXKBlkHAweVB+cH9QfeB8cHxgfQB88HrwdvByAG1AaXBmkGRgYqBhAF8wXQBacFewVTBTIFGAUABOgE0AS7BKwEoQSWBIkEfQR3BHoEgwSIBIQEeARtBGsEcwR/BIQEfwR1BHAEdQSABIkEhQRxBE8EJAPwA7MDbAMhAtwCpwKEAmsCUAIrAf0BzAGhAXoBUgEgAOIAoABkADkAHgAM//v/5f/M/7P/nf+M/3z/a/9Z/0b/M/8g/w3++/7q/tv+zP67/qn+mP6J/oD+fP56/nj+dv50/nT+df52/nb+dv53/nn+fv6G/pD+nf6v/sb+3f7w/vz/AP7//vv+9P7q/tz+zP6+/rT+r/6t/qz+rv60/sL+1/7s/vz/Bf8I/wn/C/8Q/xb/Hv8m/zD/PP9K/1n/af99/5T/sP/O/+sACAAmAEkAcgCcAMQA5wEGASUBSAFtAZQBuQHbAf0CIAJFAmsCkQK5AuMDEAM9A2cDjQOvA9ED9gQdBEQEaASLBK8E1gUBBS0FVQV3BZQFrgXJBeUGAwYgBj4GXgaABqYGzgb2BxwHQQdkB4YHqQfLB+sICwgpCEcIZgiECJ8ItwjLCN8I9QkPCSwJSQllCX8Jmwm5CdkJ9goLChsKKAo5ClIKcQqOCqYKtAq8CsIKxwrKCsgKvwqyCqYKngqbCpoKmwqcCp4KogqlCqQKnwqWCo0KhwqCCngKZgpKCicKAwnlCdEJxQm9CbQJqAmYCYgJfQl3CXYJdAluCWMJVQlHCTsJMQkmCRoJDgkDCPoI9AjuCOoI6AjnCOwI5QjZCMgIuQixCK4IrAinCKEInAieCKUIrAiuCKsIqQiuCLwIzwjgCO4I/wkYCTkJXQl7CZMJrgnQCfYKEgoSCfUJywmzCcIJ9Qo0CmIKbwpjClMKTQpTCloKVwpICjoKOQpJCmUKfwqSCpwKpAqxCsYK4Qr9CxcLLAs8C0gLVgtrC4kLrAvNC+UL8wv8DAYMFQwpDDwMSwxWDGAMbQx7DIcMjwyVDJoMoQyoDK0MrwywDLIMtAy1DLIMrgysDLQMxAzWDOQM6QzqDOwM9A0BDQ4NFg0cDSINLg0/DVMNaA2CDaYN1Q4KDj0ObA6bDtQPHQ9tD7UP4w/0D/MP+BASEEcQjBDMEPoRFhEoET8RYBGFEaERrBGkEZQRhRF8EXIRXhFBESkRKBFEEW8RihF9EUQQ/BDJEMUQ6REYETQRNBElER0RJRE0ETYRIBD0EMUQpBCYEKAQtxDXEP0RIxFBEVQRXRFoEXwRnBHBEd4R7RHyEfQR9RH0EekRzhGlEXgRUBE3ES8RNhFKEWQRghGeEbcRzhHjEfUR/BHzEdsRuxGcEYURdRFlEU8RNhEdEQwRAhD7EO8Q3RDHELIQnhCNEHkQZBBNEDUQHhAFD+sP0Q+3D54Pgw9jDz0PFA7tDssOrg6TDncOWQ46Dh0OBw36DfgN+w37DfAN1g2wDYkNbw1nDXENiQ2qDdQOCQ5HDocOvQ7fDu4O7g7rDuoO7Q7wDu4O5A7SDrwOpA6PDn0ObQ5ZDjwOFA3nDboNkA1pDT8NDwzbDKsMhwxsDFMMNgwRC+sLzQu4C6cLlQt8C2ELRwszCx0LAgrdCrUKkQp3CmQKUgo8CiAKBQnsCdMJtgmRCWkJQwkmCRAI+QjdCLoIlwh3CFsIQQgiB/4H1wexB40HbAdJByYHBAbjBsIGoQZ+BloGNgYTBfIFzgWpBYIFWwU1BRAE6QTCBJsEcwRLBCID+QPPA6cDgANZAzIDCQLhArsCmAJ1Ak4CIAHvAb4BkgFsAUoBJgEBANwAuQCZAHoAWAAyAAn/3v+1/4z/Y/85/w/+5f6+/pf+b/5E/hf96/3C/Z39ev1V/S79BPza/LT8kfxt/Ej8Hvvy+8j7ovuC+2T7RPsg+vr60/qw+o/6cPpR+i/6C/nn+cL5oPl/+WD5Q/kl+Qf46PjK+K34k/h7+GT4TPgz+Bn3//fm98/3uvem95P3fvdn90z3MPcW9wP29fbs9uL20/a/9qj2k/aF9n/2ffZ89nj2cPZk9lj2TPZB9jn2MvYu9ir2KPYm9iP2H/Ya9hT2D/YJ9gX2A/YE9gf2DPYQ9hP2FfYY9h72JvYs9i/2MPYx9jb2P/ZK9lP2WfZc9l/2ZfZt9nT2e/aD9o72nvax9sL2z/ba9uX29PcJ9x33L/c990n3WPdp93z3jved96v3u/fN9+L39/gL+B/4M/hH+Fr4a/h7+Iv4nfiy+Mf43Pju+P75Dvkf+TH5RPlS+Vf5UvlC+S75HvkZ+SL5NflI+VT5Wvld+WT5cPl++Yj5jPmM+ZD5nvmz+cj50vnO+cP5vfnF+dz5/voi+kP6ZfqK+rT64PsG+yD7Lfsv+yn7G/sC+t36sPqD+mP6VfpX+l/6Zfpk+lz6VfpV+l76bfqA+pH6n/qq+q/6sfqw+q/6sfq3+r/6yPrR+tv66fr++xb7Kvs3+zv7PvtH+1f7avt3+3n7d/t7+5L7vvvz/CP8Rfxd/Hj8oPzT/QP9Iv0t/S39MP05/T79Lfz8/Ln8f/xw/Jj87P1S/a/9+v48/oL+1v8w/4L/vv/d/+T/2//M/7z/qf+P/23/RP8b/vj+4P7U/s/+y/7G/r/+vP68/sD+w/7E/sP+wv7E/sf+x/7F/r/+uv65/rr+vf68/rn+tf6x/q3+qP6h/pz+nv6m/rL+uP6x/pv+e/5X/jX+Ef3j/ab9W/0K/MD8ifxr/GH8Y/xl/F/8UPw7/CX8EvwE+/r78vvq++P73PvX+9P70PvP+9D7z/vM+8X7uPup+5v7kvuM+4f7fvtw+2D7UPtF+z77Ovs2+zL7LPsm+yH7Hfsa+xf7E/sO+wj7BPsC+wT7CvsR+xn7IPsm+yr7LPsr+yj7I/sd+xn7FfsP+wn7A/r/+v77APsD+wP7APr/+wD7B/sQ+xr7Ifsk+yT7Jfsm+yf7KPsq+y/7N/tA+0n7TPtJ+0D7Nfsu+yz7Lfsu+yv7Jvsh+yD7Ifsi+x77E/sE+vX66frh+tn60frG+rv6sPqi+pH6f/pw+mn6a/p1+nz6ffp2+m36Zfpg+lz6UvpD+jH6JPoc+hj6E/oL+gD59/nz+fD56/nh+dP5xPm4+a/5p/md+ZL5iPmA+Xv5ePl1+XL5bvlq+Wb5Yvlf+WH5aPly+X35hPmJ+Y35lfmg+av5sPmt+aX5n/mh+az5u/nL+df54Pnq+fX6AfoK+hH6Fvoc+iT6Lvo3+j76RPpL+lb6Zfp3+of6k/qb+qH6p/qw+rz6yvrZ+ub68vr8+wf7E/sh+y/7PvtN+1z7avt1+3/7iPuR+5v7pvuu+7T7t/u4+7r7vPu/+8P7x/vM+9L72vvh++f76/vv+/P7+fwB/Ar8EfwW/Br8Hfwg/CP8J/wr/C/8NPw7/EH8RvxL/E/8UvxV/Fb8VvxU/FH8T/xP/E/8T/xN/En8RPxA/D38O/w7/Dv8Ovw5/Dn8OPw4/Df8OPw7/EH8SPxP/FT8V/xW/FX8VfxY/F78Zvxt/HP8ePx+/IX8j/yc/Kr8t/zC/Mz81vzk/PT9BP0S/Rr9Hf0c/R39I/0y/Uj9Yf14/Yn9kf2S/ZH9kP2T/Zn9ov2r/bb9wf3Q/eH98v4C/g/+Gv4n/jf+Sf5d/nH+hf6a/rD+yP7h/vr/E/8t/0j/Yf93/4n/mf+o/7r/y//b/+b/7v/2//8ACwAaACkAOABIAFoAbQCBAJUAqwDCANoA8gEJASEBOgFWAXQBjwGkAbIBvgHLAd4B9AIOAigCQQJaAnAChgKcArUC0QLtAwUDFwMmAzcDSgNYA1MDNwMWAxEDSAO/BFkE4wU6BWEFhAXSBl4HDQelB/kIAQfaB68HmQeRB4EHVAcOBsEGhAZiBlYGUgZLBjoGHAXxBbwFgQVJBRkE9QTbBMcEuQSuBKkEowSbBI4EgAR4BHoEggSIBIYEegRuBGgEbQR0BHYEcQRpBGgEcwSEBJEEjQR2BFIEJwP5A8UDiANDAwECzAKmAosCbgJIAhgB5QG5AZUBcgFJARQA2QChAHEATAAvABL/9v/a/8H/rP+a/4j/d/9m/1b/R/84/yf/Ff8C/vD+3/7O/r7+sP6m/p/+m/6Y/pP+jf6H/oT+gv6B/n/+ff59/oH+h/6P/pn+pv65/tL+7v8I/xv/J/8q/yj/Iv8X/wj++f7s/uT+4P7f/t/+4f7o/vf/C/8h/zD/N/83/zT/M/82/z7/SP9V/2P/cv+B/5H/ov+4/9H/7QAKACUAPwBbAHsAngDCAOMBAAEbATgBWwGCAawB0gH1AhUCMwJTAnQCmALAAu0DHwNRA38DpwPJA+oECwQuBFIEdASVBLkE4AUMBTkFZAWIBagFxQXgBf0GGQY0Bk8GagaIBqsG0Ab3Bx4HQQdiB4EHoAe/B90H+AgTCC0ISwhpCIgIowi5CM8I5wkECSUJRQlhCXkJkAmsCcwJ7AoHChsKKgo7ClEKagqCCpMKngqkCqwKtQq8CrsKsgqkCpkKlgqeCq0KvwrQCtwK5ArlCuAK1grICrgKpQqOCnIKUQouCg4J9wnoCeAJ3AnWCc0JwQmzCaUJmQmRCYkJgAl0CWYJWAlMCUEJNgkpCRoJCwkACPoI9QjyCPAI7gjuCPYI8QjoCN0I1QjRCM8IywjCCLYIrQitCLQIuwi7CLQIrQiuCLoIzgjhCPMJBQkcCTkJUwlmCXEJfgmXCbsJ2wnlCdMJtQmpCcMKBApSCo8KpgqdCocKeApzCnIKaApWCkQKQQpRCm4KjQqmCrcKxQrVCukLAQsYCywLPQtKC1ULYwt3C5ELrgvIC9oL5gvwDAAMFwwyDEoMWgxlDG0MeAyFDJEMmgydDJ8MoQyjDKQMpQyoDK8MuAzADMIMvwy8DL4MxwzWDOQM7wz1DPwNBg0SDRwNIg0oDS8NPA1ODWUNgg2pDdoOEQ5GDnMOmg7GDwIPUA+fD9oP8g/tD+IP7xAiEHEQwhD7ERMRFREWESgRTBF1EZERlhGGEXARXxFYEVMRSBEzERsRDBEKERAREBD9EN0QvRCwEL4Q3RD7EQoRCxEKERIRJRE3ETsRKxELEOcQyhC8EL4QzxDsEQ8RLhE/EUIRPxFEEVkRexGgEbsRyRHQEdcR4BHkEd0RxRGjEYARYxFPEUMRPxFEEVMRZxF6EYURiBGGEYERexFxEWERThE9ETMRMRExES8RJxEeERYRDxEHEPkQ5RDNELYQoxCTEIIQbhBXED4QJRAMD/MP2w/ED6wPkQ9xD0sPJA7/Dt8OxA6rDpAOcQ5QDjQOIA4YDhsOIA4hDhQN+A3TDa4NlA2JDZANpg3MDgEOQg6LDs8PAw8hDysPKQ8lDyYPKw8yDzcPNg8uDx4PCA7vDtcOwQ6rDo8Oag4+Dg0N3A2pDXINNgz6DMcMowyLDHUMWgw2DA8L7gvVC8ILrQuTC3cLXQtICzMLFwr0Cs0KrAqTCoIKcQpbCkAKJAoLCfEJ0gmtCYYJYwlJCTUJHwkCCN4ItwiVCHcIWwg7CBYH8AfLB6gHhwdlB0EHHAb5BtcGtgaTBm4GSgYoBgcF5gXCBZwFdgVRBS0FCATgBLYEiwRgBDgEEgPsA8UDnQN1A0sDIwL8AtcCtAKRAmkCPgIPAeEBtgGPAWsBSAEmAQMA4gDBAJ8AfABWADAACf/j/7v/kv9o/z3/FP7r/sL+lf5n/jn+D/3s/cz9q/2H/V39MP0F/N/8vfyd/Hn8T/wj+/n70/uz+5X7c/tM+yL6+frV+rX6mPp5+lb6MPoL+ej5yPmq+Y35b/lR+TL5Ffj4+N34wvin+I34dPhb+EL4KPgO9/T33PfF97H3nPeG9233U/c89yr3HfcT9wf29vbi9s32uvat9qX2oPac9pT2ivZ+9nL2aPZf9lj2UfZK9kT2QPY89jn2NPYu9ib2H/YZ9hb2FvYZ9h72I/Yo9ir2K/Yt9i/2NPY69j72QPZB9kP2SvZU9l/2Z/Zs9m72cfZ19n32hvaT9qH2sfbB9tD23fbo9vX3BPcV9yj3OfdI91b3Zfd194b3l/en97j3yffb9+33//gR+CX4OfhO+GH4cfiA+JD4ofiz+Mb42fjr+P35D/ki+TX5R/lV+Vz5VvlG+S/5G/kS+Rj5Kvk9+Uv5UflU+Vn5Zfl0+X/5g/mE+Yn5l/mu+cL5zfnK+cH5uvnB+dX58/oS+jH6UPpy+pr6wvrl+v/7D/sX+xj7Efr/+t76s/qG+mP6UfpO+lP6VvpT+kv6Qvo/+kb6VPpm+nb6gfqE+oL6fPp3+nb6e/qE+o/6mfqi+q36vvrX+vH7BPsM+wr7BvsK+xf7Kfs4+0D7SPtd+4X7vPvw/BP8I/ws/EL8bfyj/NP87fzz/PT8/v0P/RT89/y2/GX8Kfwg/FH8pv0D/Vb9n/3s/kf+rP8K/0z/a/9r/1n/Qf8p/xL+/P7n/tP+wP6s/pn+hv53/m3+af5p/mr+bf5w/nP+dv53/nj+ef57/n3+f/5+/nz+ev56/nv+e/56/nr+fP5//oP+g/5//nv+f/6N/qH+s/63/qn+jv5t/kz+Jv3z/az9UPzr/JD8TPwm/Bj8FfwS/Ab78/vd+8j7uPut+6P7mvuS+4v7h/uF+4P7gft8+3f7cvtt+2j7YftY+0/7R/tB+z37Ofsx+yX7GPsM+wT7APr++vz69/ry+uz66Prm+uT64fre+tn61PrQ+s/60PrV+tz65Pru+vb6+/r/+v/6/vr7+vb67/rm+tz61PrQ+s/6zvrN+sv6x/rG+sj6zvrX+uD65vro+uj65vrn+uv68vr7+wP7C/sS+xj7HPsc+xn7EfsJ+wL7APsA+wD6/vr6+vX68vrw+u365vrc+tP6zfrL+sv6yfrE+rv6rvqe+ov6d/pn+mH6ZPpu+nX6dPpo+lb6R/o8+jb6L/ol+hn6DvoI+gX6Afn6+fD55/ng+dz52PnQ+cX5uPms+aP5nPmV+Y/5iPmB+Xr5dPlt+Wf5Yflb+VX5T/lM+U/5Vvlh+Wn5bflu+XL5e/mK+Zj5ofmh+Z35mvme+an5t/nD+c752Pnm+fX6BPoP+hT6FfoW+hr6Ifoo+i/6Nvo/+kz6Xfpv+oD6jfqX+p76pfqv+r36zvrf+u/6/PsG+w37Ffse+yn7NftD+0/7W/tl+3D7e/uH+5X7pPuy+737xfvJ+8z7zvvS+9b72vve++L75vvs+/H79fv5+/v7/vwC/Aj8DvwU/Bn8HPwf/CP8J/wr/DD8Nfw7/ED8RvxL/FD8VPxX/Fn8WPxV/FH8TvxM/E38TvxO/Ez8SPxC/D38OPwz/C/8LPwq/Cv8Lvwx/DP8NPw2/Dn8P/xI/FD8VPxU/FH8T/xQ/Fb8Xfxl/Gv8b/xz/Hn8gvyN/Jr8p/yy/L38x/zT/OH88Pz9/Qf9DP0N/Q/9Fv0k/Tj9UP1m/XX9fP19/Xv9e/19/YL9if2S/Z39q/27/cz93P3r/fn+Cf4a/i7+Q/5W/mj+ev6O/qX+v/7a/vX/EP8r/0b/X/91/4b/lP+h/67/u//H/9D/2P/h/+v/9wAFABYAKAA7AE8AYQByAIQAmACwAMkA4QD3AQwBJAE/AVsBdAGHAZUBogG0AcoB4gH5Ag4CIwI5AlECawKGAqACvALXAu4C/wMMAxgDIwMnAxsC/wLmAvEDPQPLBHkFEgVuBZAFoAXTBkAG1gdjB7sH0wfBB6UHkgd/B1oHGAbFBnkGSwZABkkGUwZRBj4GHgX0Bb8FgQU+BQAEzgStBJwElwSaBJ4EnwSaBI0EgAR5BHwEhASLBIgEfQRwBGkEagRuBG4EZgReBF0EZwR4BIMEfARjBEAEGwP4A9EDoQNnAykC8wLJAqkCiAJeAisB9wHJAaQBhgFlAT0BDgDdAK8AhgBfADsAGf/8/+P/z/+8/6j/lP+C/3L/ZP9W/0T/MP8b/wf+9f7m/tr+0v7M/sn+xv7B/rn+r/6n/qD+nP6Y/pT+kf6R/pT+mv6i/qz+uP7L/uT/Av8f/zf/SP9R/1P/UP9I/zz/Lv8i/xv/GP8a/x3/I/8u/z3/UP9i/27/c/9x/23/a/9u/3b/gv+Q/5//r//A/9H/5P/5ABIALQBJAGQAfQCYALMAzwDrAQQBHAE1AVMBdwGeAcYB7AIOAi4CTgJuAo8CsgLaAwYDNwNpA5cDwAPjBAQEJQRGBGgEiQSpBMoE7gUXBUQFcAWZBb0F3AX3BhAGKAY/BlcGcAaMBq0G0Ab2BxoHOwdaB3cHlQezB9AH6wgDCBwINwhXCHcIlgiwCMcI3wj9CR8JQQleCXYJiwmjCb8J3Qn4Cg0KHwovCkEKVApkCm0Kcgp4CoQKlAqjCqsKqQqjCp8KpAq0CswK5gr8CwoLDgsICvkK5QrOCrcKnQqBCmAKPwojCg8KBAoACf0J+AnvCeIJ1AnGCbgJqwmeCZAJgQlwCV8JUQlGCTwJMgkmCRkJDgkHCQQJAgkACP0I+gj4CQkJBAj8CPEI6AjiCN0I1gjKCL0ItAi0CLoIwQjCCL4IuwjBCNAI5Aj2CQMJEAkjCTkJTQlXCVoJYgl7CaYJ0wnrCeMJxwmzCcAJ9Ao8CnoKlgqRCnsKaQpiCmEKWgpOCkEKPwpPCm0KjwquCsUK1wroCvkLDAsgCzMLRgtXC2cLdguGC5gLqwu8C8oL1gvkC/sMGQw6DFcMbAx4DIEMigyUDJ4MpAynDKcMpQykDKIMogynDLEMwAzODNgM2wzZDNcM2gzhDOoM9A0ADQ0NHA0oDTANNg07DUUNVQ1qDYQNpA3QDgUOPw50DqAOxg71DzQPfQ++D98P3A/DD7gP2BAnEI4Q6BEZER0RCxEAEQ4RMhFaEXMRdBFhEUkRNhEsEScRIREXEQsQ/xDzEOUQ1BC/EK8QqxC3EM0Q5RD3EQERCBESESERLxE1ETARIhEREQEQ8xDnEN8Q4hDyEQwRJBEvES0RJxErEUARYhGFEZ4RrBG1EcARzBHREckRsxGXEX8RbxFlEV4RWBFXEV8RbxGAEYgRhRF7EXERaRFjEVoRTRE+ETIRLBEqESoRKBEkER4RFxEMEP0Q6BDSEL0QqxCcEIsQdxBfEEQQKRAPD/cP4Q/MD7UPmw97D1cPMg8QDvIO2g7CDqoOjg5yDlkORw49DjoOOA4zDiYODw3yDdMNuQ2oDaYNtw3gDh4ObA69DwIPMQ9KD1IPUw9VD1oPYg9pD28PcQ9tD18PRg8oDwoO8A7bDsMOog52DkIOCQ3NDY4NTQ0PDNsMtgyfDIwMdQxXDDUMFgv+C+kL0Qu0C5MLdQtcC0ULKwsLCugKyQqyCp8KjAp1ClsKQAomCg0J7gnKCaUJgwlpCVUJPwkiCP8I2gi2CJYIdAhQCCgIAQfdB70Hngd9B1gHMwcQBu8GzgarBoYGYAY9Bh0F/QXcBbgFkgVuBUoFJgT+BNMEpgR7BFIELQQHA+ADuAOOA2UDPgMYAvMCzgKoAoACVgIsAgEB2AGxAYwBaQFIASkBCQDoAMQAngB3AFIALQAI/+H/t/+N/2L/Of8Q/uT+tv6H/lr+NP4U/ff91/2w/YP9VP0n/QH83/y//Jv8cvxI/CH7/vve+777mvtx+0X7HPr4+tr6vfqe+nv6Vvoy+hH58/nY+br5m/l6+Vr5Pfki+Qn47vjS+LX4mviA+Gn4Ufg4+B74Bfft99f3wfer95P3fPdn91b3SPc89y33HPcJ9vf25/ba9tD2x/a99rH2pPaX9oz2hPZ99nb2bvZm9l72WPZV9lP2UPZK9kH2OPYy9i72LvYw9jT2OfY89j72P/Y+9j72QfZF9kv2T/ZS9lT2V/Zf9mr2dfZ99oH2gvaE9on2lPai9rP2w/bS9t/27Pb59wf3Fvcl9zT3Q/dR92H3cPd/9473nfeu98H31Pfl9/X4BPgV+Cf4O/hQ+GL4c/iE+JX4p/i5+Mn42Pjo+Pn5DPkf+TL5RPlS+Vr5V/lH+S75FvkH+Qn5Gfku+T75R/lL+VL5Xvlt+Xf5efl5+X35jfml+bz5yPnF+bj5rvmw+cD52vn4+hX6MfpQ+nP6lvq1+s363vrq+vH68frn+tH6r/qI+mT6S/o/+jv6Ovo4+jX6Mvoz+jv6R/pU+l76Yvpf+lf6TfpG+kX6SvpV+mD6avpz+n76j/qm+r760frY+tf61PrY+uX69/sI+xb7KvtK+3r7sPvd+/b8APwL/Cb8VfyI/K/8v/zC/Mf82Pzo/N/8q/xV+//70/vo/DX8m/z6/Uj9jv3d/jz+m/7m/wz/D/78/uL+yv6y/pn+gP5t/mH+XP5U/kb+MP4c/hD+EP4X/iD+Jf4m/ib+KP4s/jD+M/41/jf+OP45/jr+Of42/jH+Kv4k/iT+Kv42/kP+Sv5L/kn+TP5b/nT+jf6a/pb+g/5n/kj+Iv3r/Zv9M/zC/Fz8Evvn+9T7y/vA+677lvuB+3L7aPth+1n7TvtD+zr7Nfs1+zX7Mvsp+x77FPsN+wv7CvsI+wP6/Pr2+vH67vrp+uL62PrP+sf6xPrC+sH6wPq8+rn6t/q1+rT6sfqt+qj6pfqi+qH6oPqi+qX6q/qz+rr6wfrG+sv6z/rS+tH6y/rB+rX6qvqh+pz6mPqW+pT6lPqW+pj6mvqc+p76oPqi+qT6p/qr+rH6vPrI+tL62frd+uD65vrs+vD67/rp+uL63frd+t763vrc+tf60frN+sf6vvq0+qr6pfqm+qz6s/q3+rX6sfqp+p/6k/qH+n76evp4+nX6avpX+kD6LPoe+hf6E/oN+gX5/fn3+fX59Pnv+eb53PnS+cv5xfm/+bb5q/mf+ZX5jvmJ+Yb5g/l/+Xn5cflo+V/5WflS+Uz5RvlD+UP5SPlQ+VX5V/lW+Vn5Yvlw+X/5ivmN+Y35jvmU+Z/5q/m2+cD5zPnb+e35/voK+hH6FPoX+hv6Ifom+ir6MPo4+kX6Vfpm+nf6hfqS+p76qvq4+sj62vrs+vz7CPsR+xj7Hvsm+zD7O/tF+077Vvtd+2X7bvt6+4j7mPuo+7b7wfvI+8370vvX+9775fvq++778vv3+/38BPwK/A38D/wR/BT8Gfwe/CL8JPwl/Cb8Kfwt/DH8Nvw7/D/8RfxL/FH8VfxY/Fn8V/xT/E78SfxH/Ef8SPxK/En8RvxB/Dz8Nvww/Cr8JPwh/CL8Jfwq/C78MPww/DL8N/w//Ef8S/xM/Ev8SvxM/FH8WPxe/GL8Zfxo/G38dPx9/If8kvyd/Kj8tPzA/M382/zp/PT8/f0C/Qb9Df0Z/Sr9Pf1Q/V39ZP1m/Wb9Z/1o/Wv9cf16/Yf9mf2s/b79zv3d/ez9/v4T/ij+PP5O/l7+cP6F/p3+uf7U/vD/C/8n/0D/V/9r/3r/h/+S/5z/pf+t/7X/v//K/9f/5P/0AAUAGgAwAEUAVwBnAHYAigCiALwA0wDmAPgBDAElAUEBWQFsAXsBiwGfAbcBzgHiAfQCBgIfAjwCWwJ2Ao8CpgK+AtQC5gLyAvcC+ALzAuYC1gLUAvoDXgP7BLAFSAWfBbQFrQW8Bf4GagbbBywHUgdbB1wHXAdRByoG5AaRBk0GLQYtBjoGPgYvBhIF8AXMBaMFbQUqBOQEpwSABHAEcwSABI0EkwSPBIUEewR2BHkEggSIBIcEfQRwBGkEaARqBGgEYARWBFMEWwRnBG8EZwRQBDAEEAP1A9kDtgOHA1ADHALvAsgCoQJzAj8CCwHeAbsBnwGDAWMBPQEUAOsAwgCaAHQAUQA0AB0ACf/1/9//yP+w/5z/iv93/2T/T/86/yj/Gf8N/wX+//76/vf+8/7s/uL+1/7N/sT+vv65/rX+sv6y/rX+uv7B/sn+1/7q/wP/IP88/1L/Yv9s/3H/c/9x/2v/Yv9Z/1T/U/9Y/2H/bP95/4f/lf+h/6j/qv+q/6r/rf+z/7z/x//T/+H/8QADABUAKAA8AFIAaQCCAJwAtgDQAOoBAQEXAS0BRAFgAYABpAHLAfACFAI3AlkCfAKeAr8C4QMFAy0DWQOFA68D1AP1BBQENARXBHoEnAS9BNwE/gUjBU0FeQWlBcsF6wYDBhcGKgY/BlcGcwaRBrIG1Ab3BxkHOAdVB3EHjweuB84H7AgGCB4INwhUCHMIkQiqCMAI1AjtCQsJKwlLCWYJfgmUCasJwgnYCesJ/AoNCh8KMAo8CkQKSwpWCmcKfgqVCqcKsQq2CrwKxgrVCugK+gsJCxELEAsFCvEK2Aq9CqUKjwp5CmMKTgo8CjEKKgokChoKDAn5CecJ1QnFCbcJqAmaCYwJfglxCWQJWQlPCUYJPQkzCSoJIwkeCR0JGwkYCRQJDwkMCRwJFQkLCP0I8QjnCOEI2wjUCMsIxQjECMcIzAjPCNEI1wjkCPUJBwkTCRwJJwk5CU8JYQlpCWoJdAmVCcwKBAokChsJ8wnJCbsJ1goLCj0KVApNCjkKKQopCjQKPgpACj8KQwpUCnMKmAq7CtcK6gr4CwILDAsbCy8LRwtgC3YLhwuTC5wLpQuwC7wLywveC/kMGgw+DGAMeQyJDJIMmAyeDKQMqQysDK4MrQysDKoMqgyuDLcMxgzXDOYM8Qz3DPkM+Az1DPUM+g0GDRgNLA07DUQNSA1QDWANdw2SDawNyA3rDhkOTw6IDr0O8Q8oD2QPnA+/D78Pow+GD4oPwxAqEJwQ8BEQEQMQ5xDaEOkRDBEwEUQRQxE1ESMRExEGEPsQ8xDvEPAQ7xDpENkQwxCvEKcQsBDDENkQ6xD4EQQRFREqETsRQRE5ESkRGxEUERIRDREAEO8Q5hDsEQERGBEmEScRIhEkETQRUBFsEYIRjxGaEaYRsxG4EbARnRGIEXkRcxFxEW0RZxFkEWoReRGLEZcRmRGREYgRgBF5EXERZBFVEUYRPRE4ETYRMhErESERFhEIEPgQ5hDTEMIQshCjEJEQfBBiEEYQKhAQD/gP4w/OD7cPnA9+D10PPQ8gDwYO7w7ZDsMOrQ6YDocOeA5rDl4OTw4/Di4OGw4IDfMN3w3PDcsN2w4EDkMOkA7bDxcPPQ9SD2APbQ99D4sPlg+bD50PnQ+XD4gPbg9NDysPEA76DuIOvg6NDlAODw3RDZQNWw0lDPYM0Qy3DKEMigxuDFAMNgwhDA4L9wvZC7cLlQt4C14LRQspCwsK7wrXCsIKrQqVCnoKXgpECioKDAnpCcQJogmFCWwJUwk2CRYI9AjTCLIIjghmCDwIEwfwB9AHsQePB2sHRwcmBwgG6gbJBqMGfAZXBjYGFgX1BdEFqwWFBWAFPAUWBO4ExASaBHEESQQiA/kDzwOmA34DWQM1AxAC6gLCApkCcAJIAh8B9wHQAaoBhgFmAUgBKQEIAOQAvgCXAHEATAAm//3/0/+o/33/U/8o/vz+zv6i/nr+WP45/hv9+P3P/aL9dP1J/SP9APzd/Lf8j/xo/EP8IfwA+977ufuQ+2f7Qfsg+wH64/rC+p/6evpY+jr6H/oF+ej5x/mk+YH5YvlG+S35E/j2+Nf4uvih+Ir4dfhf+Ef4L/gY+AH36/fU9733p/eT94L3dPdl91X3Qvcw9x/3EfcF9vn27fbe9s/2v/ax9qb2nvaY9pH2ifaA9nj2c/Zx9nL2cfZr9mL2WPZP9kn2R/ZH9kf2SPZK9kv2TPZM9kz2TvZT9lv2Y/Zo9mv2bPZv9nf2gfaM9pP2l/aY9pz2pfay9sL20Pbc9uj29fcE9xX3Jfcz90H3Tvdd9233fPeL95n3pve298j32/fs9/v4CfgY+Cn4O/hO+GD4cfiE+Jj4rPi++M742/jo+Pf5B/kX+Sf5NvlF+VD5UvlG+S/5E/kB+P75C/kg+TL5PPlD+Uz5Wvlq+XX5efl3+Xv5ifmh+bn5xfnB+bL5ovme+an5wPnb+fT6DPoi+jv6Vfpu+oX6mPqn+rP6uvq6+rL6oPqI+mz6Ufo6+ir6IPoc+h36Ivop+jD6Nvo6+jv6Ovo1+i/6J/oh+iD6JPou+jn6Q/pM+lT6Yfpy+oX6lvqh+qb6rPq2+sf62/ru+wD7Fvs1+1/7i/uw+8n73Pv1/Bv8SPxx/Ir8lfye/K/8xPzG/J78R/vd+5D7h/vM/EH8u/0b/V79m/3k/jv+jP6+/sf+s/6W/n/+b/5g/kn+MP4b/hD+DP4D/fD91/3D/b39yP3Y/eX95/3k/eH95P3t/fb9+v36/fj9+f38/f79/f31/ej92f3P/c391v3n/fn+BP4H/gT+Bf4R/in+RP5V/lb+Sf4z/hb98P22/WD88fx6/BD7xfub+4j7fftu+1j7P/sr+yD7HPsY+xD7BPr2+uv65frk+uT64PrW+sj6u/qz+rH6s/q1+rP6rvqp+qT6ovqg+pv6lPqN+oj6hfqF+ob6hvqF+oX6hfqE+oL6ffp4+nX6dfp2+nj6ePp4+nn6e/p/+oT6iPqL+pD6lvqd+qH6ofqb+pD6hPp4+m36ZPpe+l36X/pj+mX6Yvpd+ln6Wfpe+mX6bPpy+nr6hPqP+pr6ovqm+qn6r/q4+sH6xfrE+r/6u/q6+rz6v/rA+r76u/q2+q/6pPqV+of6fvp8+oD6h/qO+pT6m/ql+q76s/qx+qb6lvqD+m76WfpC+iz6G/oQ+gr6B/oC+fr58fnr+ef55Png+df5zPnB+bj5svmt+af5n/mV+Yv5g/l9+Xv5evl4+XT5bvlm+V/5WflV+U/5SPlC+UD5QflF+Uj5SflI+Ur5UPlb+Wf5b/lz+XT5ePmA+Yv5l/mh+av5tvnF+dX55vn0+f/6CPoR+hv6I/op+iz6MPo3+kL6Ufpg+m/6fvqN+p36rvrA+tH64/rz+wP7D/sZ+yH7Kfsy+z37SPtS+1n7X/tk+2r7cft6+4P7jvua+6b7sPu4+7/7xfvN+9b74Pvo++778/v6/AP8DfwW/Bz8IPwi/Cb8Kvwu/DD8L/wu/C38Lvwx/DX8N/w6/D78Q/xK/FH8VvxY/Fj8VfxR/Ez8SPxE/EP8QvxB/ED8Pfw5/DX8Mfws/Cf8Ifwd/Bz8Hvwi/CX8KPwp/Cv8Lvwz/Df8O/w8/D78QfxG/Ez8UvxV/Ff8WPxb/GD8Zfxs/HL8evyE/I/8nfyr/Ln8yPzY/Of88/z8/QT9C/0W/ST9M/1B/Uz9U/1W/Vj9Wv1b/V39Y/1t/X39kf2l/bj9x/3U/eP99f4J/h7+Mf5C/lP+Zv58/pX+sP7L/ub/Af8b/zP/SP9Z/2j/df9//4j/jv+U/5z/p/+2/8b/1v/n//oAEQAqAEEAUwBhAHAAhACcALUAyQDYAOUA9wEPASsBRAFYAWcBdwGMAaQBuwHNAd4B8gINAi4CTgJnAnoCjAKiArsC0ALaAtcCywK9ArECsgLOAxUDlARBBPcFiQXVBdwFwgW0BdEGFAZhBpwGvAbMBt8G9QcBBu8GvAZ4Bj4GIQYdBh4GEgXyBcoFpQWIBWoFQAUGBMMEiARlBFwEZwR6BIkEjgSJBH4EcwRuBHAEeAR/BIAEegRyBGwEawRsBGkEYQRXBFEEVARdBGMEXwRMBDEEFQP9A+cDzQOpA30DTAMdAvECxQKWAmYCOAIQAfEB1wG8AZwBdwFQASgBAQDaALMAjwBvAFYAQAAsABb//f/k/8z/tf+h/4z/ef9p/1z/Uv9L/0T/PP80/yz/I/8Z/w7/Af72/uz+5f7h/uD+3/7g/uH+4/7n/u/+/f8S/y3/SP9f/3D/e/+B/4b/i/+P/5H/kf+P/4//k/+c/6n/uf/H/9P/2//g/+L/4//m/+v/8//8AAYAEAAbACkAOQBMAGAAcwCGAJcAqgC+ANQA7QEHAR8BNgFMAWMBfQGbAb0B4AIDAiUCRwJqAowCrgLNAuoDCAMoA00DdgOfA8UD5gQDBB8EPQRdBIEEpQTIBOkFCQUrBU8FeAWiBckF6QYBBhQGJQY7BlYGdgaXBrgG2Ab4BxgHNgdTB24HiweqB8sH6wgHCCEIOAhRCGsIhgidCK8IwAjTCOsJCQkqCUoJZwl/CZQJpgm2CccJ2AnrCf4KEAogCi4KPgpRCmgKgQqYCqwKuwrICtQK4ArqCvEK+Ar+CwILAgr5CugK0Aq3CqEKkAqCCnQKaApdClIKRwo4CiMKCwnzCd4JzQm9Ca4JoAmTCYsJhgmBCXsJcwlpCV8JVQlNCUUJPwk7CTgJNQkwCSoJJQkgCSYJIAkWCQoI/Qj0CO8I7QjrCOgI5AjgCOAI4wjpCPEI/QkMCRwJKQkzCT8JUQloCX4JigmKCYgJkwm4CfQKLQpGCjEJ+Am9CaIJsgneCgkKGQoOCfkJ7wn8ChkKOApMClYKXgpwCo8KtgrdCvsLDAsSCxILEgsaCywLRgtlC34LjwuYC50LowutC7wLzQviC/sMGgw+DGEMfwySDJwMoAyiDKYMqwyxDLYMuQy6DLoMugy+DMQMzQzaDOsM/Q0ODRkNGg0SDQcNBA0NDSINOg1LDVQNWQ1lDX8Now3FDd4N7w4ADh4OTw6ODtUPGQ9WD4cPow+kD4sPaQ9cD3wP0BBAEKcQ4hDoEMsQrhCoEL0Q4BD+EQsRCxEFEP4Q9hDrEN0Q0hDPENYQ3xDfENEQvBCqEKYQsxDIEN0Q6xD2EQYRHhE4EUsRThFCETERKBEoESwRKBEXEP8Q7hDuEQARGBEqES4RKhEpETMRRhFbEWwReBGDEZARnBGhEZwRjhF/EXYRdRF3EXcRcxFwEXQRgBGQEZwRoBGaEZARhRF7EXARZBFYEU8RSRFFEUEROhEuER8RDhD+EO4Q4BDSEMUQtxCnEJUQfRBjEEYQKhAQD/gP4g/MD7MPmA98D2APRw8vDxkPAw7sDtYOww63Dq8OqA6dDosOcw5YDj4OKg4dDhMODA4IDg0OIA5FDnoOtQ7pDxAPKQ8/D1gPeA+aD7UPww/FD8EPvA+1D6cPjw9vD04PMA8UDvQOxQ6HDkEN/A3CDZMNaw1FDSAM/gzgDMUMqQyLDG0MUgw9DCwMGAv/C+ALvwugC4QLagtOCzMLGAsBCusK1Qq8CqAKggplCkcKKAoGCeIJvwmfCYEJYwlDCSMJAwjkCMUIogh7CFIIKggGB+QHxAehB3wHWQc6Bx4HAgbiBr4GlwZxBk4GLQYLBeYFvwWXBXAFTAUnBQME3AS1BIwEZAQ6BBAD5gO9A5cDdANRAy4DCQLhArgCjgJmAj4CFgHvAckBpQGDAWMBQwEiAP8A2wC1AJAAagBDABr/7//E/5j/a/8//xL+5/7A/p3+fv5e/jv+FP3p/b39lP1v/Uv9Jvz//Nf8sPyK/Gf8RPwh+/z71vux+477bPtM+yz7C/rn+sL6nfp8+mD6Rvou+hL58fnN+an5iPlr+VD5NfkY+Pn43fjD+Kz4l/iC+Gv4Vfg/+Cn4FPf89+T3zfe696r3m/eL93n3ZPdQ90D3M/co9x33D/b/9u723fbP9sP2u/a09q32pvad9pb2kvaR9pL2kfaL9oD2c/Zp9mL2X/Zd9lv2WPZX9lj2W/Zd9l72YPZl9m32d/Z/9oL2gvaB9oT2jPaY9qL2qfas9rD2t/bC9s/22/bl9u/2+/cK9xz3Lvc+9033W/dr93z3jPeb96j3tPfC99L34/fz+AH4D/ge+C/4P/hP+F34bfh/+JT4qvi9+M342/jp+Pj5BvkT+R/5K/k5+Ub5TflF+TD5E/j++Pj5A/kY+Sv5N/k++Uj5WPls+Xv5gvmB+YL5jPmf+bX5wvm/+a/5nPmS+Zb5p/m++dP54vnu+fn6B/oZ+i36Q/pW+mf6dPp++of6jPqL+oH6bPpQ+jH6F/oI+gX6C/oU+hr6GfoV+g76CvoJ+gr6CvoJ+gj6C/oS+hz6Jvot+jL6N/pB+k76Xvpt+nr6ifqb+rH6yPre+vH7Bfsd+zv7XPt9+537vfvg/Af8KvxE/FT8Zfx+/J/8tPyf/FP73/tx+0D7aPvc/G385/0z/V79iv3L/h7+Z/6L/oH+Xf44/iH+F/4N/fv95P3Q/cT9vf2w/Zr9g/13/X39kv2o/bL9r/2n/aT9rP27/cf9yv3H/cT9xf3K/c/9y/2+/ar9lv2I/Yb9jv2e/a39tP2y/av9qP2w/cT93P3t/fD95v3T/bn9lP1a/QT8lfwf+7n7cftK+zn7Lvsd+wX67PrY+s36yPrE+r36svqm+pv6lvqU+pP6j/qG+nn6bPpi+l76Xfpd+lz6WvpY+lj6WPpY+lb6UvpM+kn6SfpK+kz6TPpN+k76T/pP+kz6R/pC+j/6QfpG+kr6TPpN+k76UfpV+lj6WfpX+lb6WPpc+mL6Z/po+mX6XvpT+kb6N/or+iT6I/om+if6Jfog+h36Hvol+i76Nfo5+j36RfpQ+l/6a/pz+nj6ffqE+oz6kfqT+pH6kPqR+pX6mvqf+qH6o/qi+p36kvqE+nP6Zvpd+lj6VfpU+lf6Yvp3+pH6p/qw+qj6kfp0+lf6P/or+h36EvoL+gb6Afn7+fL56Pnf+dn50vnL+cH5tfmp+aD5mvmX+ZT5kPmK+YL5evl0+XD5b/lt+Wv5Z/lk+WL5Yflf+Vz5VflN+Ub5Q/lC+UP5Q/lD+UP5R/lN+VT5Wvld+V/5Y/lr+XT5ffmF+Y75mfmn+bb5xfnT+eH58PoA+hD6HPol+in6Lfo0+kD6Tfpb+mn6d/qG+pj6rPq/+tH64vrz+wT7E/sg+yr7NPs++0n7U/td+2b7bft0+3v7gPuF+4j7jPuS+5n7ofuo+677tfu9+8f70vvc++T76/vz+/38CPwT/Bz8Ivwo/C78M/w3/Dj8N/w1/DT8Nvw5/Dz8Pfw+/ED8RPxL/FL8VvxX/FX8U/xQ/E38SvxH/EL8Pfw5/Db8Mvwv/Cz8Kvwm/CL8Hvwa/Bf8FvwX/Bn8Gvwb/B38H/wh/CP8Jfwo/C38NPw8/EP8R/xI/Ef8SPxM/FH8V/xc/GD8Zfxt/Hj8hfyU/KT8tfzH/Nn86fz3/QL9Df0Z/Sb9NP0//Un9T/1U/Vf9Wf1a/Vz9YP1q/Xr9jf2h/bH9vf3I/dX95v36/g3+IP4y/kX+Wf5w/oj+of66/tT+7/8J/yD/NP9E/1T/Yv9v/3j/fv+D/4v/l/+n/7n/yv/b/+8ABwAhADoATQBdAGwAfwCWAK0AvgDKANUA5wEAARwBNgFIAVYBZgF8AZUBrQHAAdIB6AIEAiUCQgJXAmYCdgKNAqgCvQLDArcCnwKIAn4CjQLAAyMDugR1BTEFwgYKBgoF5wXMBdcGBQY5BlkGYAZhBm8Gkga2BsQGrgZ7BkMGGwYFBfQF2QWwBYMFXQVCBSoFCATYBKMEdwRjBGcEeQSMBJcElQSKBHsEbQRlBGQEaQRwBHYEeQR4BHcEeAR5BHcEbgRiBFcEVARYBF0EXARRBDsEIwQNA/sD6APPA60DgwNWAygC/ALSAqoChwJqAlACNQIWAfEBxwGcAXIBSQEfAPIAxQCbAHgAWgBCAC0AGAAE//D/3v/M/7v/q/+f/5f/kf+N/4f/fv90/2j/XP9Q/0P/Nv8o/x3/Fv8T/xP/Ff8W/xb/Ff8W/xz/Kv8//1n/cv+G/5P/m/+e/6P/qv+z/73/xf/N/9X/3//s//sACwAYACEAJQAlACUAJQApADAAOQBDAE0AWABlAHMAhQCXAKsAvQDPAN8A8AECARYBLAFDAVoBcQGJAaQBwQHhAgECIAI9AloCdwKVArECywLhAvYDDQMrA1EDfAOoA9ED9AQSBC0ERwRjBIIEpATIBOoFCgUnBUQFZAWIBa4F0QXuBgUGGwYzBlEGcgaTBrIGzwbuBw4HLgdMB2cHgAeZB7UH1AfyCA4IJwg+CFUIbAiDCJgIqwi/CNcI9AkUCTUJUwlsCYAJkQmhCbIJxQnZCe0KAAoUCikKQQpbCnUKiwqcCqgKtQrCCtAK3ArkCugK7ArxCvgK/gr8CvEK3grICrMKoQqRCoIKcwplClcKRwoyChkKAAnpCdgJywnACbMJpwmeCZkJmQmZCZYJjQmBCXUJawljCVwJVwlSCU4JSAlCCToJMgksCS0JKQkkCR0JFAkMCQcJBQkECQII/wj8CP0JAgkMCRkJJwkzCT4JSglZCW4JhwmdCakJowmRCYIJiwmyCesKGgohCfkJtQl6CWgJhgm/CfEKBAn7CeoJ6goDCi8KWQp0Cn8KhQqTCrAK1wr+CxsLKQsqCyMLHgsiCzELSgtmC38LjwuZC58LqQu3C8kL2wvuDAMMHgxADGUMhAyaDKUMpwypDK0MtQy+DMUMyAzJDMwM0AzWDNoM3gzkDPENBw0hDTYNPA0yDSENGA0gDTYNUA1iDWgNbQ1+DaIN0g39DhYOHA4eDi4OWg6fDvAPOw9xD4wPjA93D1sPTQ9iD6MQBhBtELUQzBC3EJEQeRB+EJsQvBDRENgQ1xDWENkQ2xDVEMoQwhDDEM0Q1xDWEMcQsBCgEKAQsRDKEOAQ7hD6EQoRIBE4EUoRThFIEUERQRFIEU0RSBE0ERoRBREAEQsRHBEpES0RKxErETMRQxFWEWURcRF7EYcRkRGXEZQRixGAEXkReBF7EX8RgBGBEYURjBGVEZoRmxGUEYoRfhFyEWgRXhFXEVIRTxFLEUUROhErERoRCBD3EOgQ2xDQEMUQuBCpEJQQfBBgEEMQJxAND/YP4A/JD7EPlw99D2UPUA89DykPEQ73Dt4OzA7FDsYOyQ7IDrsOog6BDmEOSQ46DjUONw5ADk8OZg6FDqkOyg7iDvQPBA8dD0UPeA+rD9AP4Q/hD9oP0g/MD8MPsQ+XD3cPVg8yDwUOyQ6ADjMN7w2+DZ4Nhg1tDVANMQ0SDPYM2gy7DJkMeQxeDEkMNwwjDAoL7AvOC68LkQt0C1cLOwskCw8K+grjCscKqAqGCmQKQQoeCfwJ2gm6CZoJeglXCTQJEQjxCNEIsAiMCGYIQAgcB/kH2Ae1B5IHbwdOBzAHEgbyBs8GqwaGBmMGQQYeBfoF0gWpBYIFXAU4BRQE8ATKBKMEegRRBCgEAAPaA7UDkQNuA0sDJgL/AtYCrAKDAlwCNgISAe0ByQGkAYABXAE6ARcA9QDRAK0AhwBhADkAEP/k/7j/if9a/y7/Bv7j/sT+pf6D/lv+L/4C/dn9tP2S/W/9Sf0h/Pn80/yw/I78avxE/B77+fvX+7f7mft4+1X7MPsK+uX6wvqi+oX6a/pR+jb6Fvn0+dL5sfmT+Xf5W/k++SD5BPjr+NT4vfim+I74dvhh+E34OPgh+An38vfe9833vves95j3gfdt9133UfdI9z73MPcf9w72/fbu9uL22fbR9sr2xPa99rf2tPay9rH2rPaj9pX2h/Z89nb2dfZ19nP2cPZs9mv2bfZv9nH2cvZ19nv2hfaO9pP2k/aQ9pD2lvag9qv2s/a49r32xPbP9tz26fbz9vv3BfcU9yX3N/dJ91j3Z/d394j3mfeo97T3wffO99z36/f5+Af4FPgj+DP4Q/hR+F34avh7+I74ofiz+MT40/jl+Pf5CPkV+R/5KPk0+UH5SPlC+Sz5D/j4+PH4/fkU+Sn5Nvk9+Ub5Vvls+X/5ivmK+Yf5i/mZ+az5uvm6+av5lvmE+YD5ifma+ar5s/m2+bf5vPnJ+d759voN+h/6LvpA+lf6c/qN+pr6kvp0+kf6Gfn4+er56/ny+ff59Pnr+eP54fnl+ez58vn1+fX59/n7+gP6C/oQ+hH6EfoV+iD6MPpC+lX6afp++pX6rvrH+t368vsJ+yP7Qfti+4T7pvvH++L79vwE/BX8Mvxd/IX8kPxm/Ab7kftA+z77lvwl/K/9Bv0l/Sz9RP2E/dv+Jv5G/jX+CP3c/cL9tv2s/Z39iv17/XT9b/1k/VL9Qv1B/VH9a/1//YT9ev1w/XD9fv2Q/Z39nv2Z/ZX9mf2i/aj9o/2R/Xf9Xv1N/Ub9Sf1R/Vb9Vf1L/T/9OP09/U39Y/1z/Xb9bf1c/UX9I/zt/J38OPvM+277LPsG+vP64/rN+rL6l/qC+nT6bPpl+l76VvpP+kr6SPpG+kP6P/o4+i76I/oa+hL6DfoK+gn6CfoL+g76E/oW+hb6E/oQ+g76D/oR+hL6EvoS+hT6F/oZ+hj6FPoO+gv6DPoQ+hX6GPoa+h76Jfos+jL6Mfor+iP6Hfob+h76JPoq+i76Lvoq+iD6EPn/+fL56/np+er56vno+ej57Pnz+fn5/Pn8+fz6AfoN+h/6Mfo++kb6SvpO+lP6WPpd+l/6Yvpm+mv6cvp5+n76g/qG+ob6gfp3+mv6XfpR+kP6NPol+hv6Hfot+kf6YPpu+mz6W/pE+i/6IfoZ+hT6DvoG+fv58Pnl+dz51fnP+cn5wvm4+a35oPmU+Yr5gvl9+Xn5d/l1+XP5cPlt+Wr5Z/lk+WH5X/le+WD5ZPln+Wf5Y/lc+VL5SvlF+UP5QvlA+UD5QflE+Un5TflR+VT5WPlc+WH5Zflr+XL5ffmL+Zr5qfm2+cP50vnl+fj6CfoV+h36JPos+jj6RvpU+mH6bvp++pD6pPq3+sr62/ru+wH7FPsk+zL7PvtH+1H7W/tk+277d/uA+4j7j/uT+5T7lfuW+5r7oPum+6z7svu5+8H7y/vT+9v74vvp+/H7+/wE/A38Fvwe/Cf8L/w1/Df8Nvw1/Df8O/xA/ET8RfxF/Eb8SfxO/FP8VvxW/FP8UfxP/E78S/xH/EH8Ovw0/DD8Lfwr/Cj8Jfwi/B78G/wY/BX8EvwQ/A78DPwL/Ar8C/wN/A78EfwV/Bz8JPwt/DP8Nvw3/Df8Ovw//Eb8TPxR/FT8WPxe/Gf8c/yA/I/8oPyz/Mf82vzr/Pv9Cv0Z/Sj9Nv1C/Uv9Uv1Y/V39Yf1i/WL9ZP1q/Xb9hv2V/aL9rP22/cP90/3m/fn+C/4e/jP+Sf5f/nb+jP6j/r3+2P7z/wr/HP8s/zz/Tv9e/2v/dP96/4L/jv+d/63/u//L/93/9QAQACoAPwBQAGEAdQCLAKAAsAC7AMgA2wD2ARIBKgE6AUYBVgFuAYoBpQG8AdAB5gICAiECOgJMAlgCaAJ/ApgCqQKmApECcwJbAlQCagKnAxMDsgR1BTgFzwYaBhwF+QXiBfMGJQZYBmwGXAY/BjcGUQaCBqkGqgaDBkYGCwXfBb4FnQV3BU0FKQUNBPUE1wSyBI0EdQRwBHwEjwScBJwEkgSCBHIEZQRcBFcEWQRgBGoEcwR7BIEEhQSIBIYEfwRxBGIEWARVBFcEWARSBEIELwQcBA0EAAPwA9gDtgOPA2cDQgMhAwUC7QLWAr4CoQJ+AlUCJwH5AcwBnwFuATkA/wDGAJAAZABBACcAFQAH//z/8v/n/9r/zv/C/7n/tf+y/6//q/+k/5z/k/+J/37/cf9k/1j/T/9M/0z/Tv9Q/1D/T/9Q/1b/Yv90/4n/nv+w/77/x//O/9b/3//r//kACAAXACUAMgA+AEkAUgBZAF4AYABgAGIAZABnAGsAcQB6AIYAlQCnALkAygDYAOYA9AEDARUBKQE/AVQBagF+AZEBpgG+AdoB+gIbAjoCVAJqAn8CkgKmArgCxwLTAuEC9AMQAzUDYgOTA8QD8QQaBDsEVQRsBIMEngS/BOEFAAUZBS4FRAVhBYQFqgXOBewGCAYkBkIGYwaDBqEGvQbcBv4HIgdDB10HcQeDB5gHswfSB/EIDAgjCDkIUAhqCIUIoQi8CNcI9AkSCS4JSAleCXAJgQmSCaYJugnOCeIJ9AoICiAKOwpYCnIKhAqPCpYKnQqnCrQKwQrMCtUK3grqCvcLAAsCCvsK7QrcCsgKswqcCoMKbApZCkoKOwopChMJ/QnrCd8J2QnTCcsJwQm4CbIJsAmuCacJnAmOCYIJeQlzCW4JaAljCV0JVwlOCUUJOwkyCTYJNQk0CTEJKQkgCRcJEgkQCRAJEQkVCRwJJwk0CUIJTQlVCV4JbAmBCZsJsQm6Ca4JkAlvCV4JbAmZCdAJ8AniCakJXgkrCSoJWwmkCeIKAQoDCf8KCgorClgKfgqSCpQKlAqfCrkK3QsBCxsLKAsqCygLKAsuCzwLUQtoC30LjQuZC6ULswvGC9kL7Av+DBEMKgxLDG8MjwylDK8Msgy1DL0MyAzSDNgM2QzZDN8M6Qz0DPoM+gz6DQMNGQ03DVENWw1TDUENNw0/DVcNcg2CDYUNhw2ZDcIN+A4pDkMORw5EDlIOfg7DDw4PSw9rD20PWw9HD0APVg+PD+UQRBCQELUQrRCJEGUQVxBmEIUQoRCvEK8QrRCuELQQuhC6ELgQuRDCEM4Q1RDNELcQnRCQEJYQrRDMEOcQ+hEHERQRJRE3EUURSxFMEU8RVRFeEWMRXxFOETgRJREbERoRHREfER8RHhEjES8RQhFXEWkRdxGBEYsRkxGYEZcRkRGIEYERfRF/EYURjBGREZURlxGYEZcRlBGPEYgRfxF2EWwRZRFfEVkRUxFLEUARMxEkERURBRD0EOUQ1xDLEL8QshCiEI0QcxBWEDkQHRAFD+8P3A/ID7MPmw+CD2oPVA8/DykPEA70DtsOyw7HDs8O2w7iDt4Oyw6vDo4Ocg5eDlMOUw5bDmoOfw6XDq0OvQ7GDs0O3A77Dy0PbQ+rD9oP8Q/0D+4P5w/jD94P0g++D6MPgg9YDyMO3g6PDkIOAg3XDbwNpw2PDXANTg0xDRoNBQzsDMwMqQyIDG0MWAxEDC4MEwv1C9ULtAuTC3QLVws+CykLFgsBCugKyQqmCoEKWwo3ChUJ9AnVCbcJlwl1CU8JKQkDCOAIvwicCHkIVAgvCA0H7AfMB6wHigdnB0MHIQb/Bt0GvAaZBnYGUgYuBgoF5AW9BZYFcAVLBScFAwTdBLYEjgRnBEIEHgP7A9cDswONA2cDQAMZAvECxwKeAngCVQIzAhIB7gHHAaABeAFTATABDgDrAMcAogB7AFQAKwAA/9P/pP91/0r/JP8E/uf+yP6j/nn+S/4f/ff90/2x/Y39Zv09/Rb88/zS/LL8j/xp/EP8H/v+++D7v/uc+3X7T/sr+wn66vrN+q/6kvp1+lj6OfoY+fj52fm7+Z75gflj+UX5KvkR+Pr44/jK+LD4l/iB+G74W/hF+C74F/gC9/D33vfK97T3nfeL9373dfdt92L3Uvc/9yz3HPcP9wP2+Pbv9ub23/ba9tb20vbP9sr2wva19qb2l/aM9oj2ivaN9o72i/aF9oD2fvZ+9n/2gPaC9ob2jfaV9pv2nfac9pz2oPao9rD2uPa99sL2y/bZ9un29/cD9wv3FPcf9y/3QPdQ91/3bvd894z3nPeq97f3w/fR99/37Pf5+AX4Efgf+C/4P/hN+Fv4afh4+In4mvip+Lf4x/jb+PD5A/kS+Rz5JPku+Tr5QPk6+ST5Bvju+Of49fkO+Sf5Nvk9+UT5Uvlm+Xv5h/mI+YP5gvmM+Z35rfmx+aT5jPl0+WX5ZPlt+Xj5fvl/+X75g/mS+an5xPna+en59foH+ib6UvqA+qH6pvqL+lj6Hfnt+dL5yvnM+dD5zvnI+cP5xfnM+db53Pne+d753/nk+ez58vnz+fD57fnw+fv6Dvoj+jj6Sfpb+m/6hvqh+r362fr3+xb7N/tY+3b7kPuj+7L7vfvN++b8Dfw6/Ff8UPwZ+8P7dftd+5P8CPyM/Of9Avzr/NL84/0n/Yb90/3v/dn9q/2A/Wb9Wf1O/T/9Lv0l/SX9J/0j/Rn9Ef0X/Sv9Rf1X/Vj9Tv1F/Un9WP1q/XP9cf1r/Wj9b/15/X/9d/1i/UP9Jf0M/Pz89Pzw/O385/zc/M/8yPzL/Nn87Pz6/P388/zh/Mj8p/x2/DH72vt++y368frK+rH6mfp++mH6Rfov+h76EfoF+fz59fnz+fP59Pny+e/56/nm+eD52vnT+c35x/nF+cT5xvnK+c/51fnZ+dv52fnX+dX51PnU+dP50/nT+df53fnj+ef55fnh+d352/nb+d754Pnk+er59Pn++gb6B/oA+fX56vnj+eL55Pnp+e/59Pn2+fL56PnZ+cr5wPm7+br5uvm7+bv5vPm++cH5wfnA+cD5xfnQ+eH58voA+gj6DvoU+hv6JPos+jP6OPo++kT6S/pR+lj6X/pl+mn6a/pp+mP6W/pQ+kD6K/oT+f357/nu+ff6A/oM+g36CPoC+gD6BPoK+g36CPn5+eT5z/m/+bb5tPm1+bX5sfmq+aD5lfmJ+X75cvln+V75WPlY+Vv5YPlk+WX5ZPli+V75W/lY+Vj5W/lf+WH5Yflc+VX5TflI+UT5QflA+T75Pvk++UD5Q/lH+Uv5T/lT+Vb5WPlb+WH5a/l5+Yf5lPme+aj5tfnG+dr57fn9+gn6FPof+iz6O/pJ+lf6Zfp0+ob6mfqs+r760Pri+vb7C/sf+y/7PftJ+1P7Xvto+3L7e/uF+4/7mPue+6P7pfuo+6z7sfu3+737w/vI+8771Pva+9/75Pvo++z78vv5/AD8CPwS/Bz8Jfws/C/8MPwx/DP8OfxA/EX8SfxK/Ev8TfxR/FT8VvxU/FH8TvxM/Er8R/xD/Dz8Nvwy/C/8Lfwr/Cj8JPwf/Bv8GfwY/Bb8FPwR/Az8BvwC+//7/vv//AH8BPwJ/A78FPwa/B/8Ivwm/Cz8M/w7/EP8SfxN/FH8Vfxa/GH8avx0/IH8kfyj/Lf8y/zd/O/9Av0V/Sb9Nf1B/Ur9Uv1b/WP9aP1p/Wj9Zv1o/XD9e/2G/ZH9mv2k/bH9wP3S/eP99P4H/hz+M/5J/l/+df6M/qf+w/7d/vL/A/8R/yH/NP9I/1n/Zv9w/3n/hP+R/57/qv+3/8n/4P/6ABQAKgA+AFEAZwB+AJMAowCvAL0A0QDsAQYBGwEpATYBSQFjAYIBngG2AcsB4wH/AhsCMgJCAk4CXQJxAoMCiAJ8AmECRgI1AjgCUgKKAu0DgwRCBQgFpAX1BfsF3QXSBfkGSAaVBrQGmAZeBjEGMAZWBoIGkAZwBi4F5gWrBYIFYgVCBR8E/gTkBM4EtwSfBIkEfAR9BIcEkASQBIUEdQRmBFwEVgRRBE0ESwRPBFkEZgRzBHwEgwSIBIkEhgR8BG4EYQRaBFgEWQRVBEoEOwQrBB4EFAQJA/gD3wPBA6MDiQN0A2EDTgM4Ax0C/QLYAq8ChAJYAiwB/gHMAZMBUwEPAMoAjABYADEAFgAE//n/8P/n/9z/0P/D/7r/tf+1/7b/t/+2/7T/sP+s/6b/nv+U/4n/gP98/3v/fv+B/4X/iv+Q/5n/pv+0/8P/0//j//IAAQAQABwAKQA1AEMAUwBiAG8AeAB9AH0AewB4AHcAeAB8AIAAhQCIAIkAjACTAKIAuADQAOcA9gEAAQUBDQEaAS4BSAFjAX0BkQGhAa4BuwHNAecCBwIqAkoCYwJ2AoMCjgKYAqICrAK1AsIC0wLrAwoDMQNhA5gD1AQOBEAEYwR5BIoEngS6BNsE+gUSBSMFMwVJBWgFjwW2BdkF+AYVBjUGWAZ7BpsGugbaBv0HIQdDB14HcAd+B44HpgfDB+MH/wgWCCsIQghcCHsInAi8CNsI9gkQCScJPAlOCV0JbQl/CZIJpwm7Cc4J4Qn1CgwKJwpDCloKawp2Cn4KhQqNCpgKowqvCr0KzQrdCuoK8QrxCusK4grXCsoKtgqbCn0KYwpQCkYKPwo0CiMKDwn9CfMJ7wnsCeYJ3AnSCckJwwm9CbQJqAmcCZIJjAmHCYEJeQlxCWoJYwlaCVAJRQk7CUgJRglFCUAJNwkrCSEJHQkeCSUJLgk5CUUJUQlcCWQJaQlvCXgJiAmeCbEJuQmuCZEJbQlUCVcJeQmxCeIJ8AnPCYgJOwkMCRAJQwmLCcoJ8AoBCgwKIQpCCmQKewqBCn0KfgqNCqsKzwrvCwYLEwsbCyQLLws9C0wLXQtuC4ALkQugC7ALwQvUC+gL+wwODCMMPQxcDH0MmgytDLcMuwzCDM0M2gzlDOoM6wztDPUNAw0SDRoNGg0YDR8NNA1TDW0NeA1wDWANWQ1kDX0Nlw2kDaMNog2yDdkODQ48DlgOYQ5oDn8Org7sDyMPQw9FDzMPIQ8gDzsPcw+/EBMQWhCFEI0QdxBXEEAQPxBREGsQfxCIEIkQihCOEJYQnBCgEKUQsBDAEM0QzhC9EKAQhhB9EIsQqRDOEO4RBREWESQRMhFAEUoRURFVEVoRYRFnEWoRZxFfEVMRRhE6ES4RIxEZERIREhEaESoRPxFXEWwRfhGKEZMRmBGcEZ0RmxGWEZARixGLEY4RlBGZEZoRlxGREY0RihGIEYYRgRF5EXERahFjEVwRURFEETYRKBEbEQ4RABDwEN4QzhC/ELIQpBCTEH0QYxBGECoQEA/5D+YP1g/GD7QPnQ+DD2cPSw8wDxYO/A7kDtAOxg7HDtIO3w7oDucO2g7GDq4Olw6DDnMOag5oDm0OeQ6KDpoOpg6sDrEOvg7dDxEPVQ+aD9MP9xAGEAcQAg/8D/QP6Q/ZD8QPpw+AD0oPBA60DmgOKg3/DeANxA2hDXgNUA0yDR8NEg0DDOwMzQysDI8MdwxiDEsMMQwSC/IL0QuxC5ILdQtbC0ULMQscCwMK5QrDCp4KeQpUCjAKDAnrCcwJrgmNCWkJQgkbCPYI0wiyCI8IawhFCCEIAAfiB8QHowd/B1kHMwcQBvAG0QavBooGYgY7BhUF8QXMBacFggVdBTgFFATuBMcEngR4BFUENQQWA/UD0QOpA4EDWQMxAwoC4gK6ApUCcgJSAjECDQHmAb0BlQFvAUsBKAEFAOAAuQCRAGkAPwAT/+b/uP+M/2T/QP8g/wH+4P66/pH+Zv49/hb98v3P/an9gf1Z/TP9Efzy/NL8sPyL/Gj8Rfwl/AT74Pu4+5D7a/tL+y/7FPr5+tv6vPqc+nv6W/o7+hv5/Pne+cH5ovmC+WP5SPkw+Rr5BPjr+ND4tvif+Iz4evhn+FL4O/gl+BH3/Pfm98/3u/es96P3nPeT94X3cfdb90n3PPcx9yb3GvcN9wH2+fb09vD27Pbm9t721PbI9rn2q/ah9pz2nvai9qT2ofaZ9pH2ivaI9on2jPaQ9pP2l/ac9qD2o/ak9qb2qvaw9rb2vPbA9sf20fbf9vD2//cK9xL3Gvck9zH3QPdQ9173bPd694n3l/el97H3vffK99f35ffx9/v4BvgT+CL4M/hD+FP4Y/hz+IP4k/if+Kz4uvjM+OH49fkD+Q75F/ki+S75Nfkw+Rv4/vjl+N346vkF+SD5Mvk7+UH5TPle+XL5fvmA+Xr5d/l++Y35nvmk+Zr5gvll+U/5RflG+Uv5TvlP+VL5XPlx+Yz5p/m6+cT5yvnX+fb6Jvpc+of6lfqC+lT6Gvnn+cX5tfmx+bH5sfmw+bH5tvm9+cL5xfnD+cP5xvnO+df53Pnb+dX50PnT+eD59PoJ+hz6Kfo0+kL6Vvpx+pL6t/rc+wH7I/tA+1b7Zfty+3/7kvut+9D79vwS/Bb7+/vK+5n7i/u0/BL8gvzW/O38yfyO/HD8jPze/T79gv2S/Xb9S/0o/Rf9D/0E/PL84fzZ/Nz84vzk/N/83fzm/Pz9F/0q/S/9Kv0m/Sv9N/1C/UX9P/03/TX9Ov1D/UX9O/0k/QT84Py+/KD8i/yA/Hv8efx1/G/8avxs/HX8g/yM/Ij8ePxe/D/8Gvvs+7H7avsg+t76q/qG+mz6U/o7+iL6C/n1+d/5yPmx+Z/5lvmU+Zb5mPmY+ZX5k/mS+ZH5kPmM+Yn5hvmH+Yn5jfmR+Zb5mvme+aD5n/md+Zn5lvmT+ZH5kPmS+Zj5ofmr+bP5tvm0+bD5rPmq+av5rfmw+bX5vvnH+c750PnM+cP5uvm0+bD5r/mw+bH5tfm4+br5t/mw+ab5n/ma+Zr5mfmX+ZP5jvmL+Yr5i/mO+ZL5mPmg+ar5s/m8+cT5zPnX+eX58/n/+gn6EPoW+hz6Ivoo+i/6N/o/+kj6TvpT+lP6UPpJ+j36LPoW+f355vnU+cf5wPm8+bv5vfnE+dH54vny+fr59vnk+cr5rvmY+Y75jfmS+Zf5l/mT+Y35h/mA+Xj5a/lc+Uz5Qfk8+T/5RvlP+Vf5XPlf+V/5XPlW+VD5TPlJ+Un5SflJ+Uf5RPlC+UH5QflA+T/5Pfk6+Tn5OPk6+T35QvlI+U35UflV+Vv5ZPlu+Xr5g/mK+ZH5mvmp+bv5z/ni+fL6APoN+hz6LPo7+kr6Wfpp+nv6jvqg+rH6wvrS+uT69/sJ+xv7K/s6+0n7V/tl+3D7e/uG+5H7nPun+7D7uPu++8T7yvvQ+9b73Pvh++b76vvu+/D78/v1+/f7+vv9/AL8CPwP/Bn8Ivwp/Cz8Lfwt/C78Mvw5/D/8RfxI/Ev8TfxQ/FP8VPxT/E/8TPxI/EX8Qvw+/Dn8NPwv/Cz8Kvwn/CP8HvwZ/BX8E/wT/BT8E/wS/A78CfwE/AD7/vv++//8AfwD/AX8B/wJ/A38FPwd/Cj8M/w+/Eb8S/xP/FP8WPxe/GT8a/x0/ID8j/yg/LH8w/zT/OX8+f0N/SD9MP08/Ub9UP1b/Wb9bP1t/Wr9Zv1m/Wv9c/18/YX9jv2X/aP9sf3A/c/93v3v/gT+Gv4x/kj+Xv53/pL+rv7I/tz+6v73/wX/F/8t/0H/Uv9g/2z/d/+D/47/mf+o/7r/0v/rAAMAGAAsAEEAWABxAIYAlQCiALEAxQDdAPUBCQEYASkBPwFbAXkBkgGoAb0B1QHyAg4CJAIzAj8CTgJfAmkCYwJNAjECHAIZAicCRAJ0AsYDSwP/BMIFYgW2Bb8FpwWqBewGYQbVBwwG8AacBkYGGwYlBkUGVAY5BfsFsgV1BUoFKgULBOkEygSzBKYEnQSUBIoEgwSBBIIEfwRzBGEETwREBEIERgRHBEYEQwRFBE0EWgRnBHIEeQSABIUEiASHBIAEeARxBG4EbQRqBGIEVQRGBDkELwQlBBYEAwPtA9kDyQO8A64DmwOBA2EDPwMcAvcC0AKoAn8CVQIpAfcBvgF9ATUA7QCqAHAAQQAeAAT/8P/h/9T/yP++/7n/t/+6/73/wP/A/7//vP+6/7f/tP+u/6j/ov+f/6D/o/+o/6//uP/E/9T/5P/0AAIADwAeADAARABYAGwAfACJAJYAogCsALMAswCuAKMAlgCLAIQAggCEAIcAiQCJAIYAhQCMAJwAtgDUAO4BAQEKAQ8BFQEhATYBUgFvAYoBngGqAbABtQG+AdEB7AIOAi8CTAJgAm0CdwKAAosCmAKoArkCywLdAvEDCgMvA2UDrAP5BEAEcwSRBKIEsQTJBOkFDAUnBToFSAVbBXcFmwXBBeMGAQYeBkAGZgaOBrMG1Qb1BxUHNgdWB3EHhQeUB6QHtwfQB+oIAggXCCoIPghXCHQIkwixCM0I5wj+CRQJJwk4CUgJWAloCXoJjQmiCbcJzQnlCf0KFgotCkEKUQpfCmsKdgp/CoYKjAqVCqMKswrCCssKzArHCsAKvAq7CrYKqAqQCnUKYApWClUKVwpSCkMKLQoZCg0KBwoCCfwJ8QnlCdsJ1AnNCcYJvQm1Ca4JqAmhCZgJjQmCCXgJcQlqCWAJVglNCWMJXglZCVEJRwk9CTcJOQlCCVAJXglqCXMJeAl5CXgJdwl7CYUJlQmkCaoJowmPCXcJaglyCZUJyQn8ChgKDQnbCZIJTgkmCScJSgl9Ca4J1AnvCggKIgo8Ck0KUgpQClEKXgp8CqMKyQrlCvgLBgsUCyYLOgtMC1wLawt7C40LoQu1C8YL1gvmC/gMDAwhDDgMUgxuDIkMoAywDLoMwQzKDNcM5gzzDPwNAQ0HDRENHw0sDTMNNA01DUANVg1yDYgNjw2GDXgNdQ2DDZwNtA2/Db8Nvw3ODe8OGQ4/DlkOag6BDqYO2Q8JDyQPIQ8KDvIO8A8ND0gPkg/cEBYQOhBGED4QLBAcEBcQHhAuED8QShBSEFkQZBBwEHwQhRCNEJgQqhC9EMcQwRCrEI0QeRB3EIwQrxDUEPURDhEiETMRQxFQEVoRYRFmEWoRbRFuEW0RaxFqEWcRYRFWEUQRMBEfERURFREdESsRPxFXEW4RgxGSEZoRnhGhEaQRpxGpEagRpRGhEZ8RnRGaEZQRixGDEX4RfRF9EXwRdxFvEWYRYBFcEVURSxE8ESwRHREPEQMQ9RDkENIQwBCxEKQQlhCEEG0QUxA4EB0QBQ/wD94Pzw/AD60Plg94D1gPNg8WDvkO4A7NDsEOvw7FDs8O1g7WDs4Owg62Dq4Oqw6qDqcOow6fDp4Oow6tDrgOvQ68DrcOtw7HDu4PKg9yD7gP7xAREB4QGxAREAIP8w/kD9QPvw+dD2kPJA7VDooOTA4fDf0N2w2yDYMNVQ0yDRwNEA0EDPIM2Qy+DKUMjwx6DGMMRwwpDAkL6wvPC7MLmAt/C2gLUQs4CxwK/AraCrgKlgpyCkwKJAn9CdgJtwmXCXYJUgktCQgI5wjHCKcIhAheCDkIFgf2B9gHuAeTB2wHRgckBwUG5gbDBpwGcQZHBh8F+gXVBbAFigVlBUIFHwT6BNMEqgSCBF8EQQQlBAYD4wO8A5QDbANHAyIC/QLYArICjgJrAkgCIwH8AdUBrgGJAWYBQgEdAPYAzwCnAH4AUgAm//n/zv+m/4D/Xf86/xb+8f7K/qP+ff5X/jP+EP3t/cj9ov18/Vf9NP0S/PD8zvyr/Ir8afxH/CP7/fvU+637ivts+1L7OPsc+v763vq++p36fPpb+jv6G/n++eD5wvmi+YL5ZvlN+Tj5IvkJ+O740/i7+Kf4lfiD+G/4WfhE+C74GPgC9+v32PfL98P3vPew9573h/dy92P3W/dV90z3Pfct9x/3FvcR9w33Bvb89vD25fba9tD2xfa79rP2sfay9rP2sPao9p72lvaS9pX2mvag9qP2pfak9qT2pfan9qv2sPa39r32wvbI9s/22fbl9vL2/vcH9w73Ffcf9yz3OvdI91b3ZPdy94L3kfed96n3s/e+98v32Pfl9/H3/PgJ+Bj4KPg4+Ej4WPho+Hj4hviT+J/4rfi9+ND44vjw+Pz5BvkT+SH5Kvko+Rb4+vjg+Nb43/j4+RT5Kfk0+Tv5RflV+Wf5dPl2+XH5bflw+Xz5i/mS+Yv5d/ld+UX5N/kx+S/5Lfkt+TL5QPlY+XX5j/mf+aT5pfmv+cn58voi+kn6W/pR+jL6Cfng+cL5rvmk+aD5n/mh+ab5q/mu+a75qfmm+ab5rfm5+cT5yvnI+cH5vPm++cr53Pnv+f36BvoN+hn6LPpI+mr6kfq3+tr69/sO+x77LPs8+1P7c/uZ+7z71PvX+8b7p/uP+5L7wfwW/Hj8wfzT/Kn8X/wk/B/8Wvy7/RX9Rf1B/Rz89fzf/Nr82PzN/Lf8oPyV/Jb8nPyg/J78nvyo/L/83Pz1/QL9BP0D/QT9B/0J/Qb8/vz2/PP88/z1/PH85vzR/LT8j/xn/ED8I/wU/BP8Gvwg/CD8G/wX/Bf8GfwV/Ab76vvF+577dvtM+xv65Pqs+nn6U/o5+ir6H/oX+g75//no+cf5nflz+VH5Pfk3+Tn5O/k8+T35P/lD+Uf5SflI+UX5RPlH+U35UvlW+Vn5XPlf+WL5Y/lf+Vr5VflS+VD5UflU+Vv5ZPlu+Xj5fvl/+X35evl5+Xr5e/l9+YD5g/mI+Yz5jvmN+Yj5hPmB+YD5f/l++X35fPl9+X75fvl8+Xn5d/l4+Xv5ffl6+XP5aflh+Vz5Xvlk+Wz5c/l4+Xv5fPl/+YX5jvmc+az5vPnK+dX53vnl+e359fn9+gT6DfoW+iD6Kfox+jX6Nfox+ir6IfoU+gT57/nX+b/5qvmb+ZP5kvmY+aT5s/nD+c750PnH+bT5nPmH+Xn5dPl1+XX5c/lu+Wr5aPlp+Wj5Y/lX+Uj5OPkt+Sn5Kvkw+Tn5QvlM+VX5WPlV+U35Qvk4+TL5L/kv+TH5M/k2+Tn5PPk9+Tz5Ovk3+TL5L/ks+Sz5MPk3+UD5SflQ+Vf5Xvlm+W75dvl8+YL5ifmV+aT5t/nJ+dv56/n6+gr6G/os+jz6S/pb+m36f/qS+qT6tPrE+tL64frw+wD7D/sg+zH7Q/tV+2T7cvt/+4v7mPum+7T7wPvL+9P72/vh++j77vv0+/r7//wD/Af8CfwL/A38D/wR/BP8Ffwa/CH8KPwv/DL8Mvwv/C38Lfwx/Db8PPxB/ET8R/xL/E78UPxP/E38SPxE/ED8Pvw7/Df8M/wt/Cf8Ifwb/Bb8EfwN/Aj8BfwE/AT8BfwG/Af8CPwH/AX8A/wC/AH8AfwC/AL8AvwD/Ab8DvwZ/Cf8NPw//Eb8S/xP/FT8Wvxh/Gj8b/x5/IX8k/yj/LH8v/zM/Nv87f0C/RX9Jf0y/T39Sv1X/WL9af1q/Wb9Y/1j/Wf9b/13/X39hP2M/Zf9pP2x/b79y/3b/e7+BP4a/jD+Rf5e/nn+lv6w/sX+1P7h/u7+//8U/yn/PP9M/1r/Zv9y/37/jP+d/7P/zP/k//gACgAbAC8ARwBfAHQAhQCTAKMAuADPAOYA+QELASABOQFVAW8BhAGVAaoBxQHjAf8CEgIfAisCPAJNAlUCSwIwAhICAgIIAh8CPgJoAq4DJwPSBJEFMAWFBY8FegWIBeEGdQcHB1IHOAbPBlUGBAXuBf4GCgX2BcMFggVKBSAE/QTYBLAEjQR4BHQEegR/BH4EegR1BHEEaQRbBEgENwQvBDEEOQRABEIEQQREBE0EWwRrBHgEgQSJBJIEmwShBKIEngSZBJYEkwSQBIoEfwRyBGUEWARMBDwEKwQZBAoD/wP1A+cD0gO2A5UDdANSAy8DCgLjArsClgJyAk0CIQHsAa0BZgEeANgAmQBkADgAFv/9/+7/5v/j/+X/6f/u//D/7//q/+T/3v/a/9j/1//V/9P/0v/T/9X/2P/a/93/4v/s//wAEAAlADgASgBcAHAAiACiALwA0wDmAPUBAAEGAQYBAAD1AOYA1QDFALcAqgCgAJYAjACDAHsAdwB7AIkAoQC+ANoA8gEEAREBHwEvAUQBXAF2AY4BogGxAbkBvgHEAdAB5AH+Ah0COgJTAmcCeQKLAp8CtgLQAukC/QMKAxEDGQMvA1wDoQP2BEkEigSyBMcE1wTtBQ4FMgVTBWoFfAWPBakFyQXsBgwGJwZDBmQGiwa0BtwG/gcbBzcHUwdwB4sHoge0B8MH0gfiB/MIBAgUCCQIOAhPCGgIggibCLMIygjhCPgJDwkkCTcJSAlYCWkJewmQCakJxAngCfoKEAoiCjAKPgpNCl0KagpyCnUKdwp8CoYKlAqhCqYKowqdCpgKmQqdCp8KlwqHCnQKaApnCm8KdQpyCmIKSwo2CicKHwoZChEKBQn5CfAJ6wnoCeMJ3QnVCc4Jxwm+CbIJpQmYCY4JhgmACXkJcQlpCYQJfQl1CW0JZQlgCWIJagl2CYEJigmPCY4JigmCCXsJeQl+CYoJlwmeCZkJiQl6CXkJjgm4CewKFwoqCh4J9Qm/CYoJYwlSCVQJZgmBCaAJwgnmCggKJAo0CjcKMgouCjcKUgp7CqYKywrjCvMLAQsUCysLRAtZC2kLeQuMC6MLvAvTC+UL8wwBDBEMJQw6DFAMZgx7DJAMowy0DMEMzAzWDOIM8Q0ADQ8NHA0nDTANOQ0/DUINRQ1ODWANeA2QDZ8Nnw2VDYoNiw2ZDbANxA3RDdcN4A3zDg4OLA5FDlgOcA6UDsQO9A8QDw0O7w7MDr4O1g8SD2EPrQ/kD/8QAw/5D+wP4w/jD+oP9hACEAoQDxAVECEQMxBIEFsQahB5EIsQohC2EL8QuBCkEI8QhBCNEKcQyRDrEQgRHxE0EUYRVRFhEWoRchF4EX0RfRF6EXURchFyEXMRcRFmEVQRPxEvEScRKBEvETsRSxFfEXYRjBGdEaURqBGoEasRshG4EbwRuxG1Ea0RoxGYEYwRgBF3EXMRcxF0EXERaRFfEVgRVBFSEU8RRhE3ESYRFBEFEPgQ6RDZEMkQuhCtEKAQkRB9EGMQSBAsEBQP/g/qD9gPxw+1D6APhg9nD0UPIg8CDuUOzQ68DrQOtQ68DsIOwA6zDp4Oiw6EDo4OqQ7LDuwPBQ8VDx4PJA8oDycPHA8EDuUOxw64DsMO7Q8uD3oPwQ/2EBQQHRAXEAkP+Q/rD90PyQ+oD3MPLg7gDpcOXQ40DhgN/A3ZDbANhA1eDUENKQ0SDPgM3AzCDK0MmwyJDHMMWAw6DBwMAAvlC8oLsQuZC4MLbQtTCzMLEArsCskKqgqKCmYKPQoQCeYJvwmeCX0JWwk3CRQI8wjVCLgImQh2CFEILAgKB+kHxwejB3wHVgczBxQG9AbQBqgGfgZUBi0GBwXhBbkFkQVqBUcFJQUDBN0EtQSNBGkESgQuBBED7wPJA6IDfANYAzcDFALxAswCpgKAAlkCMwINAekBxQGiAX0BVwEwAQgA4QC6AJIAaAA9ABL/6v/E/6D/e/9U/yv/Af7Z/rP+j/5s/kr+J/4F/eP9wP2e/Xr9Vf0x/Q386vzH/Kb8hPxh/D38F/vx+877rfuQ+3P7Vfs2+xX69frW+rj6mPp4+lj6Ovoe+gL55vnH+aj5i/lw+Vn5Qfko+Qz48fjY+ML4r/ic+Ij4c/hf+Er4Nfgf+An39vfn99v30PfB9633mPeG93z3efd192z3XfdM9z73Nvcz9y73I/cT9wL29Pbr9uX23vbV9sz2xfbB9sD2vfa29qv2ovae9qD2p/au9rL2sfas9qj2pvan9qz2s/a69sL2yvbR9tr24/bt9vb2/fcC9wj3EPcb9yj3NfdC9033Wvdo93j3hveT9533pvex9773zPfc9+r39/gF+BT4I/gy+D/4TPhZ+Gf4dfiD+JH4oPiw+ML40/ji+O/4+/kJ+Rb5H/kd+Q349Pjb+M/41fjr+Qb5HPkq+TL5PflL+Vz5aPlr+Wb5YPlg+Wj5dPl8+Xn5avlU+T/5L/kl+R75GPkV+Rj5Jvk9+Vj5b/l++YT5hvmO+Z/5uvnY+fH5//n++fH53vnJ+bb5pvma+ZT5k/mX+Zv5nPmZ+ZL5ivmG+Yn5k/mg+a35s/my+a75qvms+bb5w/nS+d755/nw+f76E/ov+lD6cvqT+q/6x/ra+uv6/vsX+zX7WPt4+4/7lfuL+3r7cPt++6/7/vxW/Jf8p/x9/C775PvH++78Svy1/QP9HP0F/Nn8tvyo/Kn8qfya/ID8ZvxY/Ff8Xfxh/GH8Yvxs/IL8nvy3/Mf8y/zI/MP8vvy5/LP8rPyk/J78lvyN/IP8dvxl/E/8MPwJ++P7xfu4+7v7x/vP+8z7wPuw+6H7k/uA+2P7PPsP+ub6wfqh+n/6Wfoy+hD5+Pnw+fX6BPoW+iH6HPn/+cz5iflG+RH48vjm+OT45fjn+On48Pj6+QT5CfkI+QX5BPkH+Q75FPkY+Rr5HPkf+SP5JPkh+Rv5FfkT+RT5F/kb+R/5Jfkt+Tb5PflB+UL5QvlC+UT5R/lI+Uj5SPlJ+Ur5S/lK+Uj5RvlG+Un5TflQ+VD5T/lM+Uj5RPlC+UD5QvlH+VD5V/lb+Vf5TflB+Tj5Nfk4+T75RPlJ+Uv5TPlN+VH5WPli+W75e/mI+ZT5ofmu+bv5xvnR+dn54Pno+fL5/PoE+gn6CfoH+gT6Afn++fn57/nf+cr5tPmh+ZP5iPmC+X75f/mG+ZD5m/mi+aH5mPmM+X/5dflt+WT5WflN+UT5QflF+Uv5T/lM+UT5OPkr+SH5GfkV+Rf5H/ks+Tz5SvlQ+U75Rfk5+S/5KPkl+Sb5Kfkt+TD5Mvky+TH5L/ks+Sn5Jvki+R/5IPkm+S/5OflD+Ur5UflY+WH5a/l1+Xz5hPmM+Zj5pvm3+cj52Pnp+fr6DPod+i76PvpO+l76cfqF+pn6q/q8+sr61/rk+vD6/fsL+xr7LPs++0/7YPtv+3z7ivuY+6f7tvvD+8/72vvj++v78vv5/AH8CPwP/BX8Gvwe/CH8I/wk/CX8Jvwo/C38M/w5/Dz8PPw4/DP8L/wt/C/8Mfw0/Db8Ofw8/EH8RPxF/EP8Pvw5/DX8M/wx/C/8Kvwi/Bn8EPwJ/AT8Afv9+/n79Pvv++z77Pvv+/T7+vv+/AD8APwA+//8APwB/AP8BPwE/Ab8C/wU/B/8K/w1/Dz8QvxJ/FD8WPxg/Gf8b/x4/IT8kfyf/Kr8tPy//Mz83Pzu/P/9D/0c/Sr9Ov1J/Vb9Xf1e/Vz9W/1e/WT9a/1x/XX9ef2A/Yr9l/2k/bD9vf3M/d398P4D/hb+Kf5A/lr+d/6T/qv+vf7M/tv+7P7+/xL/Jf82/0X/Uv9f/23/fv+U/67/yP/e/+7/+wAJABwAMwBLAGAAcQCCAJUArADFANsA7wEDARoBNgFRAWgBegGKAZ8BvAHcAfYCBQINAhgCKwJBAk0CRQIqAgsB+gIBAhoCOgJlAqoDHwPHBIEFGwVsBXIFXwVzBdYGdgcTB2MHQwbNBkAF2gW0BbwFyQW9BZMFXQUrBQQE3gSyBIIEWQREBEQEUARcBGAEXARXBFQEUARIBDoELAQkBCcEMAQ6BEEERQRMBFkEbASCBJQEowSuBLoExgTPBNIEzgTIBMEEvQS6BLUErQShBJUEhwR4BGcEVQRDBDQEKAQdBA8D+gPhA8MDpQOFA2IDPAMSAukCxQKlAocCZQI5AgMBwwGAAT0A/gDFAJQAbgBUAEYAQgBFAEsAUQBTAFEASgBAADYALwArACsALAAsAC0ALgAwADIAMQAsACQAHQAeACgAOwBUAG4AhwCeALYA0gDyARUBNgFTAWoBeAF+AXwBdQFrAV0BTAE2ARoA+wDaALsAogCRAIcAhACHAJIAogC4ANEA7AEGASEBOgFRAWYBeQGMAaEBuAHPAeUB9gIFAhECHwIxAkcCYAJ8ApkCtgLVAvQDFQM3A1UDbAN3A3gDdQN6A5UDygQTBGEEowTQBOoE/QUUBTQFWAV6BZUFqgW/BdkF+AYZBjcGUgZsBokGrAbRBvUHFAcvB0gHYgd9B5kHsgfGB9UH4AfpB/EH+wgICBkILQhECFwIcgiHCJwIsQjICOAI+QkQCSUJOQlNCWAJcwmKCaQJwQneCfcKCwoZCiQKLwo9CksKVwpeCmAKYApkCm0KegqECokKiAqFCoYKjAqUCpgKlAqJCn8KewqBCooKjwqJCncKYQpPCkMKPAo2Ci0KIgoYChEKDwoMCgcJ/wn2CewJ5AnbCdEJxAm4Ca0JpQmeCZgJkQmLCaUJnwmXCZEJjQmPCZUJnAmgCaAJnAmVCY0JhwmACX0JfgmHCZQJnwmgCZMJggl6CYkJsQnkCg0KGAn+CcwJlQluCWAJZQlzCX4JhgmPCaIJwwntChcKNgpCCj8KNgoyCjwKVQp4CpsKtwrNCuAK9QsPCy0LSgtjC3gLjQulC8AL3Av0DAYMFQwkDDQMRwxaDGoMeAyGDJYMqQy+DNAM3QznDPEM/g0ODSINNA1CDUkNTA1MDU4NVw1nDX4Nlg2nDa0NqA2fDZsNnw2tDb8Nzw3eDe4OBA4dDjYOSA5TDmAOeg6jDtQO+Q7/DuYOvA6fDqcO2w8sD4IPwg/iD+QP1Q/CD7UPsw+5D8YP1A/fD+UP5w/qD/IQARAVECsQQhBZEHMQjxCnELQQtRCtEKYQqBC5ENQQ8xERESoRQRFUEWQRcBF2EXsRfxGFEYsRjBGIEYIRfBF7EXsReBFuEV4RThFEEUMRSBFREVoRZRF0EYcRmxGqEbERsRGvEa8RsxG4EboRuBGxEacRnBGQEYMReBFxEW4RbRFtEWoRYhFaEVQRURFREU0RQxEzESEREBEBEPQQ5xDYEMoQvRCyEKQQkRB4EFsQPRAiEAoP9g/kD9MPwQ+sD5QPeA9ZDzkPGg79DuIOyg63DqwOqg6tDq4OpA6NDmwOUA5HDlsOiw7ODxUPUw+CD6APrw+xD6QPhQ9UDxgO2w6sDpkOpw7VDxcPYQ+jD9UP9BADEAUP/w/0D+EPxA+YD10PFg7NDo4OYQ5FDjcOKg4YDf4N3g28DZoNdQ1MDSAM9gzTDLgMpQyTDH8MZwxLDC8MEQvzC9QLtwufC4wLewtmC0kLJAr8CtYKtgqYCnkKUwonCfoJ0QmtCYsJaQlFCSAI/QjeCMIIpgiHCGQIPwgbB/gH1QewB4oHZAdABx0G+wbXBrEGigZjBj8GGgXzBckFngV1BU8FLgUMBOkEwwSeBHsEXAQ/BCAD/gPYA7EDjANpA0gDJgMDAt8CuQKSAmsCRQIgAf0B2gG3AZABZwE8ARMA7ADHAKIAfABTACoAA//e/7r/k/9p/z7/E/7r/sb+o/5//lv+N/4V/fX91v21/ZP9b/1L/Sf9BPzh/L38mfx0/E/8LPwL++370fuz+5T7cftN+yn7CPrq+s76sfqT+nX6Wfo++iT6Cfnt+c75sfmV+Xv5YvlH+Sz5Efj5+OP4zvi5+KP4jvh5+Gb4Uvg9+Cf4Eff+9+733/fP9733q/ee95b3kveN94P3c/dj91j3U/dS90z3P/cq9xT3A/b69vf28/bt9uP22vbT9s/2yvbD9rn2r/aq9qv2sfa49rz2u/a29rH2rvau9rH2uPa/9sf20PbZ9uP27Pb09vv3AfcF9wz3FPcg9yz3OPdB90r3U/df92z3eveG95H3m/eo97f3yPfY9+f39fgD+BH4IPgv+Dv4RfhQ+Fz4afh4+If4lvil+Lb4x/jX+Ob48/kA+Qv5EfkN+P345vjQ+Mb4zPjg+Pr5EPke+Sf5MPk9+Uz5WPlc+Vf5UflQ+Vf5Y/ls+Wr5XflI+TL5IfkV+Q35B/kC+QT5Dfkf+Tb5TPld+Wj5b/l2+X/5iPmQ+Zf5m/mf+aH5oPmd+Zb5jvmI+YX5h/mJ+Yr5hfl8+XL5a/lp+W75ePmD+Yz5kvmV+ZX5lvmZ+Z/5qvm2+cT50fng+fL6CPoj+kD6Xfp3+o76o/q4+s/66PsD+xz7MftA+0f7SPtK+1b7c/um++r8Mfxj/Gz8RPv3+6b7ePuI+9X8Rvyv/O389PzS/KX8hfx5/Hj8c/xi/Ej8Mvwn/Cj8L/w1/Db8OPxB/FH8Zfx1/H78ffx2/G38ZPxd/Ff8UfxI/Dv8KfwU/AH78fvj+9P7uvub+3r7YvtY+1z7Y/ti+1X7PPsf+wT66vrM+qb6evpO+ir6EfoA+fD53PnF+bH5p/mu+cf57PoU+jD6MvoP+cv5c/kc+Nn4svih+Jz4mfiX+Jj4oPiv+L/4yfjL+Mn4yfjN+NX43Pjf+OH44vjl+Of46Pjj+N341/jW+Nn43vji+OP45vjr+PL4+/kB+QP5BPkE+Qf5C/kO+RD5D/kP+Q/5D/kN+Qr5CPkI+Qz5Ffke+SX5J/kj+Rz5E/kL+Qb5BfkJ+RP5IPkq+S/5K/ki+Rf5DfkI+Qf5C/kQ+RX5Gvke+SH5JPko+S75NvlC+VD5Yvl1+Yf5lvmj+av5svm4+b/5x/nP+dT51fnU+dL50/nX+dv53PnZ+c/5wvm0+ab5lvmE+XL5Y/lc+WD5bfl9+Yr5kfmR+Yz5hvl9+XH5YPlM+Tr5Lfkp+Sr5Lfkv+S/5LPkm+R75FfkM+Qf5CfkT+SX5OPlI+VD5T/lJ+T/5Nfkv+Sv5Kvkr+Sr5KPkj+R35GfkY+Rn5GfkY+RX5FPkX+R35Jvkv+TX5O/lD+U75XPlp+XT5fPmE+Y35mfmp+br5y/nc+e36APoU+ib6N/pG+lb6aPp8+pH6pvq4+sj61/rk+vD6/PsH+xP7IPsu+z/7T/te+2v7d/uD+4/7nvut+7z7y/vX++D76fvw+/j8APwJ/BH8Gfwf/CT8KPwq/Cv8LPwv/DP8OvxA/EP8Q/w//Dn8M/wu/Cr8KPwm/CT8Jfwo/C38MPwx/C78J/wf/Br8F/wW/BX8EPwJ/AD7+Pvy+/D77/vt++r75fvf+9r71/vZ+9775Pvr++/78fvy+/P79/v7/AD8AvwD/AL8A/wG/A78F/wg/Cn8Mvw8/Eb8UPxZ/GH8aPxv/Hj8gvyN/Jj8o/yw/L38zPza/Of88/0A/RD9Iv00/UL9S/1O/U/9Uv1Y/V/9Zv1p/Wv9bv11/X/9jP2Z/aX9sf2+/c393f3t/fz+Df4h/jn+Vv5y/oz+ov61/sf+2P7p/vz/Dv8e/y3/O/9J/1r/bv+I/6T/vv/S/+D/6//4AAsAIQA4AEwAXQBwAIcAoQC7ANIA5QD5AREBLgFLAWIBdAGGAZ0BuwHaAfEB/AIAAgkCHQI3AkgCRAIrAgwB+gH/AhYCOAJnArMDLQPTBIcFFgVcBVwFRgVbBb0GWwbxBzgHEAaTBgMFnAV5BYQFlgWPBWoFOAULBOYEwgSXBGYEOwQkBCMELgQ4BDkENAQwBDEEMwQyBCoEHwQZBB4EKwQ8BEkEUgRbBGsEggSdBLcEzQTfBO0E+AT/BP8E+QTvBOYE4QTdBNkE0wTIBLsErgSfBI8EfQRqBFgESQQ7BCwEGwQHA+8D1AO2A5MDawNAAxgC9ALVArcClAJoAjUB/AHCAYwBWQEsAQYA5wDTAMoAyADKAMsAygDDALkArACgAJYAkgCTAJYAmwCdAJ4AnQCcAJsAlgCOAIEAdQBwAHYAiACiAMAA3QD5ARYBNwFcAYUBrgHTAe8CAAIHAgYCAAH3AekB1AGzAYYBUQEbAO0AzgC+ALwAwQDJANIA3ADpAPsBEwExAVIBcwGRAagBuAHFAdUB6gIGAicCRwJjAngChwKTAqICtwLSAvQDGQM/A2MDhwOqA8oD5gP3A/sD9wPzA/sEFgREBHwEsgTcBPsFFAUvBU8FcgWTBa0FwgXXBe8GDQYtBksGZgZ/BpkGtAbSBvAHDAcmB0AHWwd4B5QHrQfDB9MH3gfmB+0H9QgCCBMIJwg9CFMIZwh6CI8IpAi6CNAI5Aj5CQ4JJQk9CVcJbwmICaEJuwnVCewJ/woNChkKJAovCjoKQwpJCkwKTwpWCmEKbQp2CnsKfQp/CoYKkAqZCp4KnAqWCpMKlQqcCqIKoQqWCoUKdApoCmEKXApWCk0KQwo8CjkKNwozCiwKIQoVCgsKBAn9CfUJ6wnfCdMJyAm/CbgJsQmrCcYJvgm2CbAJrwm0CbwJvwm7CbAJoQmUCY8JjgmRCZMJmAmhCawJswmwCaEJjgmECY8JrgnRCeEJ0AmgCWYJPQk2CU8JdQmVCaIJoAmfCawJzgn9CisKSwpZClgKUApJCkoKUgpgCnQKjAqoCsgK7AsTCzkLXAt8C5kLtQvQC+kMAQwVDCgMOQxKDFwMbAx4DIAMhwyQDKAMtgzODOQM8wz7DQENCw0bDS8NQw1RDVcNVw1XDV0NbQ2DDZsNrA20DbMNrQ2qDa4NuA3EDdEN3Q3vDgcOJg5FDlkOYA5hDmkOgQ6pDtIO5Q7aDrYOkw6LDrAO+w9VD6EPzg/aD88PvA+sD6MPoA+lD7APwA/QD9oP3g/bD9kP3Q/qD/4QGBA2EFUQdRCSEKcQtBC8EMMQzxDjEP0RGRE1EVARaRF+EYwRkRGREY8RjxGTEZgRmhGXEZIRjRGKEYkRhhF9EXERZxFlEWoRdBF+EYURixGSEZ0RqhGzEbYRsxGuEaoRqRGpEacRoRGYEZARiBGAEXcRbhFmEWERYBFgEV8RXBFYEVQRUhFPEUgRPREtER0RDxEDEPcQ6RDaEMoQuxCsEJwQhxBtEFAQMhAXEAEP7g/eD84PvQ+pD5EPdA9WDzgPHQ8GDu4O1w7ADq0Oow6gDpwOkA52DlEOLg4cDikOWA6fDvAPPg99D6oPww/KD7wPmQ9kDyEO2w6eDncObA5+DqgO4w8lD2QPmw/FD98P6Q/gD8UPmA9dDxkO1Q6ZDm4OVg5PDlEOUg5ODkMOMg4dDgAN2g2pDXENOQ0HDOEMxAyrDJMMewxhDEcMKgwIC+ILvQufC4sLfgtxC1wLOwsRCuYKwQqiCoQKYgo5Cg4J5QnACaAJfwlbCTUJEAjuCM8IsgiUCHEITQgoCAQH4Qe9B5gHcgdMBycHAwbeBroGlQZxBk4GKgYEBdsFsAWHBWAFOwUZBPYE1ASyBJIEdARWBDUEEQPrA8UDoQN9A1sDOAMUAvACzAKmAoECWgI1AhEB7gHJAaEBdgFJAR0A9QDRAK4AigBkAD0AFv/v/8j/oP92/03/Jf8B/t7+u/6W/nD+S/4o/gj96P3J/aj9hv1k/UL9H/z7/NX8rfyG/GL8Qfwl/Ar78PvT+7P7j/tq+0T7IvsD+uf6zPqw+pX6efpe+kP6KPoL+e750Pm0+Zn5f/ll+Uv5Mvkb+QX47/jY+L/4p/iR+H34avhW+D/4KPgS9//38Pfi99T3xve597D3p/ee95H3gvd19233afdn92H3Uvc89yX3FPcK9wf3BfcA9vf27fbl9t722PbQ9sb2vfa39rf2u/bB9sb2x/bE9sH2vva99r72wvbH9s321fbe9uj28fb69wL3CfcP9xb3H/cq9zX3P/dH9033VPdd92j3dfeC9473nPer97z3zffc9+n39Pf/+A34HPgr+Dj4Q/hO+Fv4afh3+IX4kvie+Kv4uvjK+Nn45/j0+P35APj6+Ov41vjE+L34xPjY+PD5BfkS+Rn5Ivku+T35SvlO+Uv5RflF+U35W/ll+WT5Vfk8+SL5D/kD+P74/Pj5+Pj4/PkH+Rj5LPlB+VP5Yflq+Wv5Zvle+VX5UvlV+V35Zvls+W35bflt+XH5dfl3+XP5avlf+Vf5VflY+V35Yvll+Wn5bvl0+Xn5ffmA+YT5jfmb+a35wfnV+ej5/foU+i36R/pe+nP6iPqe+rf60frm+vT6+vr8+wP7F/s9+3T7t/v7/DL8TvxD/BH7wfts+zD7KPtc+8D8MvyP/L38vPyb/HL8VfxG/D78NPwk/BH8A/v//AT8C/wR/BT8F/wd/Cb8Lvwx/C38Jfwb/BP8DfwJ/AT7+vvp+9L7tPuW+3z7Z/tX+0b7L/sS+vX64PrX+tb60/rG+qv6ifpn+kn6LvoP+ev5wvme+YX5efl1+XL5bPlh+Vj5V/lm+Yb5s/nj+gb6Cfnk+Zr5PPjh+Jz4dfhk+Fz4VfhM+Ej4Tvhe+HL4gviL+I74kvia+KT4rPiw+LD4sPix+LP4sfir+KL4m/ia+J74o/im+Kf4qfit+LX4vvjE+MT4wvjB+MP4yfjQ+NT41vjW+NX41fjS+M/4zPjL+ND42/jo+PP4+vj6+PT47Pjh+Nf4z/jL+M341fjh+O348/jz+O745fjd+Nj41vjY+Nz44vjm+On46/jt+PH4+fkF+Rb5KPk8+U75Xvlr+Xb5fvmF+Yv5kvmY+Z35n/mf+Z/5ovmp+bH5uvnA+cH5v/m6+bL5p/mX+YP5bvle+Vb5WPlh+Wv5dfl9+YT5i/mO+Yz5gflu+Vb5Pvkp+Rn5D/kI+Qb5CPkM+Q/5D/kN+Qn5CfkQ+R75MflE+VP5WflY+U/5Q/k3+S75Kfko+Sb5IvkZ+Q/5B/kE+QX5B/kJ+Qn5CPkK+Q/5Fvkd+SL5J/kt+Tb5Q/lR+V35Z/lv+Xr5ifma+a35wPnR+eT59/oM+iH6NPpF+lX6Zvp5+o36ofqz+sT61Prl+vX7A/sP+xn7I/su+zv7SftX+2L7a/tz+337ifuX+6f7t/vF+9D72fvg++f77vv3/AD8CfwR/Bf8Hfwh/CX8KPws/DL8N/w9/ED8Qfw+/Dn8M/wt/Cb8IPwa/BX8FPwV/Bj8GvwZ/BP8Cfv/+/b78vvv++376vvl++D73Pva+9n72vva+9n71vvT+9D7zvvN+8770fvU+9j72/vd++D75vvs+/L79fv1+/T78vv0+/n8AfwL/BX8H/wr/Df8RPxP/Fj8Xvxi/Gf8bvx3/IT8lPym/Lj8x/zT/Nv84/zt/Pz9D/0i/TH9O/1A/UX9Sv1R/Vj9XP1e/WD9ZP1s/Xf9g/2O/Zf9of2t/bv9yv3Y/eb99f4I/h/+Of5U/m7+hf6a/q7+wf7U/ub+9/8H/xb/JP8z/0X/Xf94/5X/rv/A/83/2P/n//sAEgAnADkASABaAHIAjwCrAMMA1gDqAQMBIQE/AVkBbQGAAZcBswHQAeUB7wHzAf0CEQIrAj0COgIkAgcB9QH3Ag0CMQJnAr0DQAPpBJYFGQVQBUYFKgU8BZkGLQa3BvQGxgZLBcEFZAVIBVgFawVjBTwFCATbBLkEnAR5BFAEKgQUBA8EFQQbBBkEEwQQBBIEGAQbBBcEEQQRBB4ENQROBGIEbwR3BIQEmgS3BNYE8QUEBRAFFgUWBRIFCQUBBPoE+AT3BPQE7QTjBNYEywTABLQEpgSVBIIEcARfBFAEQQQvBBoEAQPiA78DmANwA0wDLAMOAu4CyAKbAmkCNgIGAdsBtgGVAXoBZQFYAVABSwFFATwBLgEcAQkA9wDpAN8A3ADfAOUA7ADvAO4A6gDmAOIA4ADfAN4A3gDjAPABBAEgAT8BXwF/AaEBxQHsAhQCOgJaAnECfQKBAn4CdwJsAloCPAIPAdQBkgFWASkBEgEPARkBJwE1AT4BRgFPAV0BcQGLAasBzgHvAgsCHQInAi0CNgJIAmICgwKkAsAC1ALiAvADAwMfA0EDZwOLA6wDygPpBAoEKgRFBFYEWgRXBFYEXQRyBJEEtgTbBP4FIQVGBWwFkAWvBccF2QXqBf0GFAYvBkoGZAZ9BpUGrgbHBuEG+wcVBzAHSwdmB4EHmwexB8UH1QfiB+4H+ggICBkIKwg9CE4IXwhxCIUImgiwCMII0wjkCPgJEAkuCU0JbAmHCaAJtgnLCeAJ8woEChMKHwopCjEKOAo9CkQKTgpbCmgKcgp4CnsKfQqCCosKlgqfCqMKogqgCqIKpwqtCq4KqQqeCpIKiAqECoEKfQp2CmwKYwpdCloKVwpRCkcKPAoxCioKJQogChkKDwoECfcJ6wnhCdkJ0gnNCekJ3AnOCcQJwQnHCdAJ1gnSCcUJtwmuCa8Jtwm/CcMJwgnBCcQJxgnCCbQJoAmPCYsJlQmiCaQJkQlvCU8JRQlZCYIJqwnDCcQJugm1CcQJ5goTCj0KWgppCmwKZwpdClEKSApJClgKeQqoCt0LEAs+C2ULiQusC88L7gwHDBsMKgw4DEkMWwxuDH8MiQyODJAMlAyfDLIMzAznDPwNCA0ODRINGg0nDTkNSg1WDVwNXw1lDXMNiA2fDbINuw27DbcNtQ26DcYN0w3fDekN9Q4JDiYOSA5iDm8ObQ5oDm0OhA6kDrwOvg6lDoQOdQ6NDs4PKA98D7QPyg/GD7oPrw+pD6UPoA+dD6MPsg/HD9gP3w/aD9IPzw/YD+0QChAqEEkQZxCEEJ8QtxDLENwQ7REBERgRMxFREXARjBGiEa8RshGvEasRqhGtEbIRtBGyEa4RqhGnEaYRohGaEZMRjhGREZsRpxGwEbQRtBG0EbURtxG3EbMRrRGmEaIRnxGcEZURjBGDEXsRdRFwEWkRXxFVEU0RShFLEU0RThFOEUwRShFFET0RMhEmERsREBEFEPcQ5BDPELkQpRCUEIIQbxBZEEEQKRATD/8P7A/cD80PvQ+qD5MPdw9ZDz0PJQ8RDv4O6Q7RDroOqQ6fDpgOjA51DlMOLw4WDhEOJw5TDooOww73DyAPPg9PD1APQA8gDvIOvg6MDmMOSg5FDlUOdw6oDuEPHA9QD3YPiA+ED2kPOQ77DroOgA5XDkIOQg5ODlwOZA5lDmAOWQ5QDkEOKA4BDc8Nlw1hDTENBwzgDLoMmAx7DGIMSQwqDAML1wuuC48LfQtyC2ILSAsjCvkK0QqvCo8KbgpICh4J9QnRCbEJkglyCU8JKgkGCOUIxAijCH8IWAgxCAwH6AfFB6EHfAdWBzEHDQbpBsQGnwZ6BlQGMAYLBeYFwAWaBXMFTQUoBQQE4wTEBKYEiARoBEUEIAP7A9cDtgOUA3IDTgMqAwYC4wK/ApkCcQJKAiMB/QHXAbABhgFaAS8BBgDgALwAmQB1AE8AJ////9X/rP+D/13/O/8a/vr+1/6x/ov+Z/5F/iT+Bf3k/cP9of2B/WD9Pf0Y/O/8xvyf/H38XvxC/Cf8C/vu+8/7rvuK+2b7Q/si+wX66/rS+rj6nfqA+mP6Rfon+gr57fnS+bf5nPmC+Wj5UPk5+SL5C/jx+Nf4vfim+JH4ffho+FD4Ofgj+BH4BPf59+734vfU98f3uvet96L3lveM94T3fvd39233XfdK9zb3J/cd9xf3E/cO9wb2/fb09uz25Pbb9tL2yvbF9sT2x/bL9s720PbR9s/2zPbJ9sf2yPbL9tH22fbi9uz29vcA9wn3Evca9yH3Kfcz9zz3RvdO91X3XPdk92/3fPeK95j3p/e398f31/fj9+339ff++An4F/gm+DP4QPhN+Fr4avh4+IX4j/iY+KD4q/i4+Mf41vjj+O348Pjs+N/4zPi7+LT4u/jN+OP49vkC+Qn5Evkf+TD5PvlE+UH5O/k7+UT5VPlg+WD5UPk0+Rj5A/j6+Pr4+/j6+Pb48/j1+P/5Evkq+UL5Vvlh+WD5VvlG+Tf5Lvku+TX5PflE+Uj5S/lR+Vj5X/lg+Vv5UvlK+Uj5TPlS+VX5U/lP+Uz5UPlX+V75Yflh+WP5a/l++Zf5sfnH+dn56fn7+hL6K/pC+lX6Zvp4+oz6oPqx+rz6wvrN+un7Hftp+8H8EvxL/F38Q/wC+6f7R/r9+t369Ps8+6P8C/xY/Hz8ePxd/Dv8IPwN/AH79fvo+9772fvY+9v73fvf++H75fvr++/77fvk+9f7yfvA+737vvu9+7b7pvuL+2j7Qvse+wH66frU+rv6nPp4+lf6P/ox+if6GvoD+eP5wfmj+Yz5d/lh+Ub5KfkQ+QL4/fj++QD4//j8+Pr4//kN+Sj5TPly+Y35jvls+Sr41/iI+E74L/gk+B34E/gG9/33//gO+CP4NvhD+E34V/hj+HD4evh++H/4fvh/+ID4ffh2+Gv4Yvhf+GL4Z/hr+G34cPh1+H74hfiJ+IX4fvh6+Hv4gviM+JT4l/iX+JX4lPiU+JP4kviT+Jn4oviv+Lv4xPjJ+Mr4x/jA+Lb4p/iX+Iv4hviK+JX4oviu+LX4uPi3+LT4sPit+Kv4qvir+K34sfi2+L74yPjW+OX49PkC+Q/5HPkq+Tf5Q/lN+Vb5Xflj+Wn5bflw+XL5dvl9+Yb5j/mY+Z75ofmk+ab5p/ml+Z35j/l++Wz5XPlQ+Un5SPlP+V35b/mC+Y/5k/mM+Xz5ZPlI+Sr5Dvj3+Of44vjl+O749/j/+QP5CfkR+R/5MvlF+Vb5X/le+VP5QPkt+R75F/kX+Rr5G/kW+Q35Avj7+Pj4+fj6+Pr4+/j++QT5C/kS+Rf5Gfkb+SH5Kvk1+T/5SvlV+WP5dfmL+aD5s/nF+df57PoC+hn6LvpB+lL6ZPp2+on6m/qs+rz6zPre+vH7A/sT+yD7Kvs1+0D7TPtY+2P7a/ty+3n7gvuO+5v7qfu2+8H7yvvS+9n74Pvn+/D7+fwB/Aj8D/wV/Br8H/wk/Cn8Lvwx/DP8M/wy/C/8K/wm/B/8GPwR/Az8CvwK/Av8C/wH+//79Pvo+9771vvR+837yfvG+8X7xvvG+8f7xvvF+8X7xfvG+8f7xvvE+8H7v/vA+8H7xPvH+8v70PvV+9r73vvg++D74fvl++z79Pv9/Ab8DvwY/CP8MPw+/En8UPxV/Fj8XPxl/HT8ifyi/Ln8zPzY/N/85fzu/Pz9DP0c/Sj9MP01/Tr9QP1G/Ur9Tf1O/VH9WP1i/W79eP2A/Yb9jv2a/aj9tv3E/dL94f30/gr+I/48/lT+av6A/pX+q/6//tL+4/7y/wH/D/8f/zL/Sv9m/4L/mf+q/7f/w//U/+oAAQAVACQAMQBCAFoAdwCVAK8AxADZAPMBEgEyAU0BYQFyAYYBngG5Ac8B3QHoAfYCCwIiAjACLAIWAfsB6QHoAfoCHgJZArsDSQP5BKUFHwVMBTcFFAUfBXUGAAaCBrsGkQYfBZ8FSQUuBTkFRQU0BQYEzgSgBIMEbwRXBDkEGgQFA/4EAAQDBAED/QP8BAEEBwQLBAoECwQUBCsETQRwBIkElwSeBKkEvQTZBPgFEAUcBR0FFAUIBPsE8QTuBPAE9wT9BQAE/QT1BO0E5gTiBN0E1gTJBLgEpgSVBIUEdQRiBEsELgQMA+YDwAObA3oDXgNFAykDCgLlAr0ClQJuAkoCKQIKAe8B2gHKAb8BswGkAZEBegFiAUsBNgElARkBEgERARUBGgEdARsBFQEPAQ4BFAEiATYBTgFnAYABmgG2AdUB9wIbAkICaQKPArACyQLZAt8C3QLWAswCwAKxApoCdgJDAgYBygGZAXsBdAF8AYsBmgGkAawBtQHCAdIB5AH6AhQCMwJVAnYCjwKaApgCkQKOApQCpgLAAtkC7wMAAxIDKgNIA2sDjgOsA8UD2wPzBBEEMwRVBG8EfwSGBIcEigSTBKQEvQTeBQYFNAVmBZYFvwXfBfUGAwYPBhoGKQY6Bk0GYgZ5BpMGrQbHBt8G9wcOByUHPAdUB2wHhQecB7IHxwfaB+sH/AgNCB4ILgg+CEwIWghpCHwIkQinCLoIzAjdCPEJCwkpCUoJagmGCZ8JtAnHCdoJ7Qn/Cg8KHQonCi0KMwo6CkYKVwppCngKgQqECoMKgwqHCo8KlwqdCp4KnQqeCqMKqgqvCq4KqgqjCqAKoAqjCqMKngqTCocKfQp2CnEKawpiClcKTgpHCkMKQAo7CjQKKwoiChkKEQoJCgIJ+wnzChAJ/QnnCdQJywnOCdkJ4wnmCeEJ2QnWCd0J6AnvCewJ4AnRCcgJxQnDCb0JrwmeCZIJjwmTCZYJlQmQCZAJnQm2CdMJ5gnpCeAJ2AndCfMKFgo6ClYKaApyCnYKdApqClwKUQpWCnUKrQrzCzYLbAuPC6gLwAvdC/8MHgw2DEQMTgxYDGYMeAyJDJQMmAyXDJkMowy2DNAM7Q0GDRgNIQ0lDSkNLw06DUYNUg1aDWENaQ13DYsNog23DcQNxw3FDcINxQ3PDd0N7A35DgUOFg4vDk0OaQ56DnwOdA5uDnUOhw6aDp4Oiw5rDlMOXQ6UDuwPSQ+QD7EPsw+nD6APog+oD6gPoA+WD5MPng+zD8cP0Q/QD8sPzw/fD/wQHRA8EFYQbhCIEKUQwxDfEPURCBEbETIRThFuEY4RqhG+EckRzRHNEc4R0hHYEd0R4BHeEdoR1RHREcwRxhG+EbkRuRHAEcwR1xHeEd8R2xHWEdERyxHDEbcRrBGjEZ4RnBGZEZIRiBF8EXMRbBFlEV0RUhFIEUARPRE/EUIRRBFDET8ROxE2ETERKxEkERsRDxEAEO0Q1hC9EKUQjxB7EGkQWBBGEDUQJBATEAIP7w/dD8sPuw+pD5QPeg9eD0IPKw8ZDwkO+A7kDs4Ouw6sDqEOlA6CDmgOSg4vDh4OGA4eDisOPA5RDmkOhA6fDrUOwA6+Dq8Olg54DlsORA43DjUOQA5UDnAOjg6sDscO3A7lDuIOzg6sDoIOXA5CDjsORg5aDmwOdQ5zDmsOYw5dDlcOSg40DhMN7A3BDZQNZA0tDPIMugyNDG4MWQxDDCQL+gvJC50LfAtnC1YLQwsnCwYK4wrCCqMKggpdCjQKCgnjCcIJowmFCWUJQgkeCPsI2AizCIwIYwg6CBMH7gfKB6UHgAdbBzcHFAbxBs0GpwZ/BlcGMAYMBesFygWpBYUFXgU4BRME8QTSBLQElQRyBE0EJwQEA+QDxQOnA4YDYwM/AxwC+ALUAq0ChAJZAi4CBgHgAbsBlAFsAUIBGgDzAM4AqgCHAGMAPAAT/+n/v/+X/3P/Uv8z/xP+8P7L/qf+hf5m/kf+J/4F/eL9v/2e/Xz9WP0x/Qn84fy+/J/8gvxl/EX8JPwE++X7xvum+4T7YftA+yP7C/r0+tz6wfqj+oP6ZPpG+in6Dfnx+dX5uvmf+YX5a/lS+Tn5IPkH+O341Pi8+KX4j/h4+GH4Sfg0+CP4F/gN+AT3+Pfp99n3yve+97b3r/en9573kveF93X3ZfdW90f3O/cw9yb3HvcV9w33Bfb99vT26vbh9tr21PbR9s/2zvbP9tD20PbQ9s72yvbE9r/2v/bE9s322Pbk9vD2+/cG9xL3HPck9yv3Mvc590L3TPdV9133Zvdv93r3h/eV96P3sPe+98v32Pfj9+339ff++Aj4FPgg+Cv4NvhC+E/4Xvht+Hv4hfiN+JX4nfio+LX4wvjP+Nr44fjg+Nb4xvi1+Kv4rvi9+NH44/jv+Pf5APkP+SH5Mfk5+Tb5Lvkr+TP5Q/lS+VX5Sfkv+RP5APj4+Pn4/Pj6+PP46vjl+Or4+vkS+Sz5Q/lQ+VL5SPk4+Sj5HPkY+Rr5H/kj+Sf5LPk0+T75RflG+UP5Pfk8+UD5SPlO+U35Rfk7+Tb5OflA+UX5RflB+UH5TPlj+YL5n/m0+cL5zvnf+fb6EPom+jX6PvpH+lX6afqA+pj6svrV+wj7UPul+/n8N/xP/Dr7/fuk+0L67vq5+rL62vso+4j74vwh/Dz8N/wf/AL76vvX+8v7wfu5+7T7sPut+6f7oPuZ+5f7mvuf+6H7m/uN+3r7avti+2P7aPtq+2L7TPsp+wD61/q0+pj6gPpl+kH6Ffnk+bn5mPmB+XD5XPlC+ST5CPjy+OT42PjL+Lv4qvid+Jb4lfiU+JP4kfiQ+JT4m/in+LX4xvjY+OP43/jE+JL4U/gZ9/H33/fa99f3z/fC97j3uPfE99f36ff4+AT4Efgh+DH4PPhC+EP4RPhG+En4SPhB+Df4LPgn+Cf4LPgw+DT4OPg9+EX4S/hL+EX4O/g0+DT4O/hF+E34UPhQ+E74T/hS+Ff4W/hh+Gf4b/h4+IH4ifiS+Jn4n/ih+Jr4i/h0+Fz4SfhA+EH4S/ha+Gv4e/iG+I34jviK+IT4f/h8+H34gfiJ+JP4n/is+Lj4w/jM+NT43vjr+Pn5CPkV+SD5KPkw+Tj5QPlH+Uz5UflW+V35Zflr+XH5dfl5+YD5ivmV+Zz5nPmS+X75ZPlJ+TL5JPki+Sz5PflT+Wf5dvmA+YL5fPlu+Vb5N/kW+Pj44/jX+NX42Pje+Ob47/j8+Q/5Jfk8+VD5W/lZ+Ur5MvkX+QH49/j5+QH5CfkM+Qn5Afj5+PX48vjx+PD48Pjz+Pn5AfkJ+Q35D/kR+RT5Gvkj+S35OPlF+VX5aPl9+ZH5pPm2+cn53vn1+g36I/o2+kf6Wfps+n/6kvqj+rL6wfrS+ub6+vsM+xv7KPs0+0D7TPtZ+2T7b/t4+4D7iPuR+5v7pfuw+7r7xPvN+9X73fvk++z79Pv8/AL8CPwN/BH8Ffwa/B38IPwh/CD8H/wd/Bv8GfwW/BH8DPwH/AT8A/wE/AX8BPwA+/j77/vk+9v70fvJ+8H7vPu6+7v7vfu/+7/7vfu6+7j7ufu8+777vfu6+7b7svuw+7H7s/u1+7f7uvu++8P7yPvM+9D71vvd++b77vv2+/z8APwF/A78Gfwm/DP8PfxD/Ef8TPxX/Gj8gPyc/Lb8y/za/OX87vz5/QX9Ev0c/SP9Jv0p/S39Mv02/Tj9OP04/T39Rv1T/V/9aP1u/XT9ff2J/Zf9pf2y/b79zf3f/fb+Dv4m/jz+Uf5n/n3+lP6q/r7+z/7f/u3++/8L/x7/Nf9Q/2v/g/+U/6H/rv+//9X/7AAAABAAHQAuAEYAZACDAJ8AtgDMAOYBBAEiAT0BUQFhAXMBiQGiAboBzgHhAfUCCwIgAikCIgIMAfIB3wHZAeICAAI7AqIDOwP1BKcFIwVOBTYFDwUSBV0F3QZYBpIGcgYOBZoFRwUlBSQFIQUEBNAElgRqBFQESQQ9BCgEDgP5A+4D7APuA+8D7wPxA/YD/AQABAIECQQaBDoEYwSLBKkEuQTDBNAE5wUFBSEFMQUvBR0E/wTgBMcEuQS5BMQE1wTrBPkFAQUCBQEFAQUCBQIE/wT3BOwE3gTQBMEEsASZBH0EWwQ0BAwD4wO+A58DhQNxA18DTgM7AyYDDALvAs4CqgKFAmMCRQItAhoCBgHxAdkBwQGqAZYBhQF3AWoBYAFcAV0BYQFjAWEBWgFTAVMBXgF3AZkBvwHjAgICGwI0Ak8CcAKYAsMC7QMRAysDNwM4Ay4DHQMIAvQC4QLMArECjgJhAjACBAHnAdsB3wHqAfMB9wH3AfsCBwIbAjECRgJXAmgCfgKcAr8C3gLvAu8C4wLXAtMC2wLsAv8DDwMdAy4DRwNpA5ADtAPQA+MD8wQEBBsENwRVBHAEhgSVBKEEqgSzBL4E0QTuBRkFTwWLBcMF8QYSBiYGMwY9BkYGTwZYBmIGbwaCBpsGtwbTBusG/wcQByEHNAdIB14HdgeNB6MHuAfLB90H7wgCCBUIKAg5CEkIVwhnCHgIjQijCLkIzwjkCPsJFAkvCUsJZwmBCZkJrgnCCdMJ4wnzCgIKEAobCiMKKwo2CkUKWQptCn0KhQqFCoMKggqFCosKkAqSCpIKkwqXCp4KpwqsCq0KrAqsCrIKuwrBCsEKuQqsCp4KkwqLCoMKeQptCmEKWgpXClUKUwpNCkYKQAo8CjoKOAo1Ci8KKAoeCjYKJAoMCfMJ4AnbCeAJ6QntCeoJ5AnjCeoJ9Qn7CfUJ4QnICbYJsAmzCbkJugm1Ca8JrQmyCbwJyAnVCeIJ8An7CgEJ/Qn1CfEJ+AoQCjEKUQpoCnMKdwp6Cn8KgQp9CncKeQqSCsgLFgtpC6wL0gvfC98L5Qv5DBgMNwxODFwMZQxvDH0MjQyZDJ4MnQydDKUMuAzVDPQNEQ0mDTINOQ0+DUMNSQ1PDVQNWg1gDWoNeA2LDaENtg3GDc8N0g3TDdQN2Q3iDe8N/Q4NDiEOOw5YDnQOhg6MDocOfw5/DogOlA6VDoEOWw41DikOSg6XDvoPVA+MD5wPkg+FD4QPkA+dD6APlg+GD38PhQ+WD6gPsw+4D78P0Q/vEBUQORBVEGoQfhCXELYQ2BD4ERIRJxE7EVMRcBGQEa4RxRHVEd4R5RHrEfMR/BIFEgsSDRIOEgwSCBICEfkR7xHmEeMR5xHyEf4SBhIHEgMR/BH2EfAR5xHbEcsRuhGtEaURohGeEZcRixF+EXERaBFfEVcRThFHEUQRRBFHEUkRRhFAETgRMhEvES0RKxElERkRCBD0EOAQzRC7EKkQlhCAEGgQUBA6ECgQGhAOEAAP7w/bD8cPtA+iD44Pdw9dD0MPLA8aDwwO/w7wDt8Ozg6/DrAOog6RDn8Oag5XDkQOMQ4fDg0N/w36DgIOFw41DlUObw5+Dn8Odg5mDlYOSQ5CDj4OOg4xDiQOFA4KDg0OIw5KDngOnw61DrQOow6ODoEOgg6NDpoOoA6cDo8Ofw5xDmQOVw5FDjEOHA4EDeYNuw1+DTAM3QyVDGQMSQw8DCwMDgviC7ALggtgC0kLNgsiCwoK7wrTCrgKmwp5ClMKKQoACdoJtwmWCXQJUQktCQgI4gi8CJQIawhCCBsH9QfQB6oHgwddBzkHFwb2BtMGrgaHBl8GOAYTBfIF0gWxBY8FagVFBSIFAQThBMEEnwR6BFQELwQNA+4D0QOzA5IDbwNLAycDAgLdArYCjQJhAjYCDQHmAcEBnAF2AU8BKAEBANsAuACVAHIATQAm//z/0/+s/4j/aP9I/yf/A/7f/r3+nv6B/mT+Q/4g/fv91/20/ZH9bP1E/R38+vzc/MH8pvyG/GL8PPwY+/f72fu7+5r7ePtY+zz7JfsQ+vj63fq/+p/6gfpk+kn6LPoP+fH51Pm5+Z/5hPlp+U/5Nfkc+QX47fjW+L74pfiM+HP4W/hG+DX4KPgd+BP4B/f49+j32ffP98n3xPe+97P3o/eR9373b/dj91n3TvdB9zP3JfcZ9w/3B/b+9vX26/bi9tv21/bU9tH2zfbK9sj2yPbG9sL2uvay9qz2rfa19sT21fbl9vP3APcM9xj3I/cs9zP3OfdB90n3U/dc92T3a/d093/3i/eY96T3rve498L3zffY9+T37/f6+AX4DvgX+B/4Jvgv+Dr4R/hV+GP4b/h6+IX4j/iZ+KP4rfi3+ML4y/jP+Mr4vfis+KD4n/ir+L740fjf+Of48Pj8+Q35Hfkm+ST5HfkY+R75LPk9+UX5P/kq+RH4+/jw+O747/jt+Ob43vja+N346vj++RX5Kvk2+Tn5Mfki+RD5Avj6+Pn4/fkD+Qn5Efka+SL5Kfkr+Sv5K/kt+TT5O/k++Tr5Mvkp+Sb5Kfku+S/5K/kl+Sf5NflP+W/5ivmd+aj5s/nF+d75+foN+hf6G/oi+jT6U/p8+qr62fsL+0L7fPuz+9z77Pve+7P7cvso+uL6rPqT+p/6z/sc+3L7vvvv+/778/va+8H7rvui+5v7lvuR+4v7g/t4+2v7W/tN+0X7Q/tF+0X7Pfst+xn7CfsA+wH7BvsI+v/66frH+qD6e/pc+kL6KPoG+df5nvli+Sz5BPjo+NL4vPij+Ir4dPhl+Fv4U/hJ+D/4N/gz+DL4Mvgu+Cf4Ifgg+Cb4L/g3+Dv4O/g6+Df4Lvga9/n30Peq95H3h/eG94f3gvd593H3c/d+9473n/es97n3x/fY9+n39vf9+AD4AvgH+Az4DvgK+AD39vfu9+337/fy9/X3+Pf9+AT4CfgJ+AX3/ff29/X3+fgA+Ab4CPgI+An4DfgV+B/4KPgw+Df4PfhD+En4UPhZ+GX4cfh5+Hv4cvhf+Ef4Lvga+A74CvgP+Bv4LPg++E74Wvhg+GL4Yvhh+GP4Zvhr+HH4ePiB+Iv4lfie+Kb4r/i6+Mb40/jf+On48vj8+Qj5Ffkh+Sr5MPk1+Tr5QPlE+Uj5SflL+VD5Wfln+XX5f/l/+XT5YPlI+TH5IPkW+RT5F/ke+Sf5NPlF+Vn5bPl4+Xn5bPlU+TX5Fvj7+OX41vjM+Mf4yPjS+OP4+/kW+S75PflB+Tb5H/kE+O343/jd+OP47Pjy+PT48vjv+O747fjs+Or46Pjp+Oz48vj4+P75AfkE+Qr5Evkd+Sn5NvlD+VH5Yvl0+YX5l/mp+bz50vnq+gH6Ffom+jX6Rvpa+m76g/qW+qb6tfrF+tb66fr7+wz7HPsq+zf7RftS+1/7bPt4+4P7jvuX+6D7qPux+7v7xfvP+9j74Pvo++/79vv8/AH8BfwH/An8C/wN/BD8EfwQ/A78C/wJ/Af8BfwC+//7/Pv5+/j7+fv7+/37/vv8+/j78vvr++P72fvO+8X7vvu7+7z7v/vB+8L7wPu9+7z7vPu++777vPu4+7T7sPuv+677rfus+6v7rPuv+7T7uvvB+8j7zvvW+9775/vt+/P79vv6+//8B/wR/Bv8Jfwt/DT8PfxK/F38dfyP/Kj8vvzQ/N/87fz6/Qf9EP0V/Rf9GP0b/R/9JP0n/Sf9Jf0k/Sn9Mv0//Uv9VP1b/WP9bf17/Yn9lv2f/an9tv3I/d/9+P4P/iX+Of5O/mX+fP6S/qX+tv7H/tb+5f71/wf/Hf83/1P/a/9//43/m/+s/8H/2P/uAAEAEgAlAD0AWgB4AJQAqwDAANcA8gENASYBPAFPAWQBfAGWAbAByAHeAfUCDAIeAiUCHgIKAfIB3gHRAdAB4QIUAnkDFAPUBI4FFgVOBUQFIwUkBWEFzAY2BmoGTwX5BZIFQwUcBQ4E/QTXBJ8EZgRABDAELgQrBB0EBgPwA+ID3gPgA+MD5gPpA+wD7wPyA/cEAgQZBD0EaQSTBLMEyATYBOwFCAUoBUIFTAVABR8E8gTEBKAEjASJBJgEsQTOBOgE/AUHBQ0FDgUOBQsFCAUEBP8E+gT0BOoE2gTCBKMEgARZBDEECQPkA8UDrAOcA5MDjgOKA4IDdANdAz4DGALvAscCowKEAmkCUAI3Ah8CCQH3AesB4QHbAdUB0gHTAdYB2wHdAdkB0AHFAcABxwHbAfkCGwI5AlACYQJwAoQCoQLHAvIDHQNCA1wDaQNpA1wDRQMoAwgC6QLMArACkgJyAlICOQIsAisCMwI7Aj0COAIyAjUCRQJgAn0CkgKeAqQCrQLBAtwC+AMMAxQDFQMZAyYDPANUA2UDbANtA3EDgwOjA8sD8gQRBCYENARCBFEEYwR3BIoEnQSwBMME0wTfBOgE9QUNBTUFbAWqBeQGEQYwBkMGUgZhBnAGewaCBoUGiwaXBqwGxgbhBvcHCAcUByEHMAdFB1wHdAeLB58HsAfAB88H4AfzCAgIHggzCEcIWghsCH4IkQinCL0I1QjtCQYJHQkzCUgJXQl0CYsJoQmzCcIJzgnZCeYJ9AoDChAKHAopCjcKSApaCmcKbgpwCm4KbwpzCnkKfwqDCoUKiQqRCp0KpwqvCrIKtQq7CsYK0grZCtcKywq8Cq4KpAqdCpUKiQp8CnEKagpoCmcKYwpcClUKUgpTClYKVwpUCk4KSApBClEKSgo5CiAKCAn3CfAJ7QnnCd0J0gnNCdMJ4AnrCekJ2Am/CakJoAmlCbQJwwnNCdMJ1wndCecJ9AoACgkKDAoKCgEJ+An0Cf0KFQo4ClwKdQp/Cn4KfAqACokKlAqcCqUKugrnCy4LgwvSDAYMGAwQDAMMAQwSDDAMTwxmDHQMfQyIDJYMowyrDKwMrAywDMAM2gz4DRQNKQ02DT8NRg1ODVUNWg1cDVwNXw1nDXYNiQ2fDbINwg3NDdUN3A3iDecN7Q3zDfwOCg4fDjwOXA56Do4Olg6VDpEOkg6bDqYOpw6SDmcOMw4PDhEORA6dDwEPUg98D4MPdg9rD20Peg+GD4cPfA9vD2gPbg98D4sPmA+kD7YP0w/5ECIQRRBeEHIQhhCjEMgQ7xESES0RQhFXEXARjhGuEckR3hHsEfYR/xIIEhASGBIdEiISJxItEjMSNxI2EjASJhIeEh0SJBIwEjkSPBI1EikSHRIUEg4SBxH7EesR1xHHEboRshGqEZ8RkhGDEXYRbBFlEV4RWBFTEVIRUxFUEVIRSxFBETgRMxEzETQRMhEnERQQ/RDnENgQ0hDPEMoQuxCgEHsQUxAvEBYQBw//D/YP6Q/XD8IPrA+XD4IPbA9UDzsPJQ8RDwIO9w7sDuIO1w7LDr4Orw6gDpEOhA53DmkOWA5BDikOEw4GDgYOFQ4uDkkOXg5qDmkOYA5TDkoORw5KDkwORA4qDf4NyQ2eDZENrg32DlgOvQ8KDy8PLg8UDvQO3A7TDtMO1Q7SDscOtQ6fDocObA5RDjkOKA4eDhIN9g3BDW8NDAytDGMMOQwoDCEMEwv1C8oLnAtzC1ULPQsoCxAK9grbCsAKpgqJCmgKQgoaCfEJygmkCYAJWgk0CQ0I5Qi9CJQIbAhFCCAH+wfXB7IHjAdmB0EHHQb7BtgGtQaRBmsGRQYfBfoF1gWzBZEFbwVPBS8FEATvBMwEqQSEBGAEPQQcA/wD3AO6A5cDcwNNAygDAgLcArYCjwJnAj8CFwHvAccBoQF7AVYBMAEKAOUAwACdAHoAVwAxAAr/4v+8/5r/ev9b/zv/GP70/tP+tP6W/nf+Vf4x/gv96P3F/aL9ff1X/TL9Evz3/N78w/yi/Hv8U/wt/Az77vvQ+7D7jvtu+1P7PPsm+w768frS+rT6mPp9+mL6Rfol+gb56fnP+bf5nfmC+WX5Svky+Rz5Bvjv+NT4uPid+IL4avhW+ET4Nvgq+CD4FfgI9/n36/fg99j30vfK9773rfea94n3fPdz92r3X/dQ9z73Lfce9xP3Cfb/9vX26/bi9tz22PbT9s72yfbE9sL2wfa/9rn2sPal9p/2ofat9r/20/bl9vT3AfcN9xn3JPct9zX3PfdG91D3Wvdi92j3bfdz93z3iPeU95/3p/eu97b3wPfM99n35ffw9/r4AvgJ+A/4Fvgd+Cb4Mfg8+En4Vfhi+HD4ffiI+JD4lfib+KT4rvi3+Ln4svil+Jj4lPid+K/4w/jS+Nv44fjp+Pf5BvkQ+RL5DvkK+Q75HPkt+Tn5N/kn+Q749Pji+Nj41vjV+NT41PjW+Nz45/j2+Qf5Fvkf+SD5FvkF+PD43/jV+NX43Pjn+PL4+/kC+Qj5DPkQ+RL5FPkX+Rv5Hvkf+R75HPkb+Rz5H/kg+R35F/kT+Rj5KPlA+Vr5b/l9+Yj5l/mu+cn54vnz+f36B/oZ+jv6a/qk+t37D/s4+1b7aPts+1/7Q/sb+u76wfqZ+nn6Zfpk+n76tPr++0z7ivuq+6v7lvt6+2b7Xftd+2D7X/tZ+0/7Qvs1+yX7FPsD+vf67/rr+ub63vrQ+r/6r/qk+qD6n/qd+pT6gfpn+kj6K/oR+fb51vmp+W/5K/jn+K74hPhp+FP4P/go+BH3//fz9+r34vfY98/3yffJ98z3zffI9773tPew97P3u/e/9773tvet96T3mveN93n3X/dG9zT3Lfct9y33Kvcl9yP3J/c090X3Vfdj93D3f/eQ96D3rfe097j3u/fB98n3zvfO98j3v/e397L3sfex97H3sfez97f3vffC98T3wvfA97/3wPfB98P3xPfF98r30/fe9+n38/f7+AH4BvgM+BL4Gvgj+C/4PfhJ+FH4UvhL+D34LPgX+AP38Pfj99z33/fr9/z4EPgj+DT4QfhM+FP4WPhY+Ff4WPhb+GP4bfh4+IH4ifiR+Jn4oviq+LP4vPjI+Nb45vj2+QP5DPkT+Rn5H/kl+Sn5Kvkp+Sf5Kfkw+Tr5RflN+VD5TflG+T75Nfks+SH5FPkG+Pv4+PkC+Rf5NPlR+Wj5cvlv+WH5TPkz+Rn4/vjk+M34vPi0+Lb4wvjV+Or4/fkJ+Qv5A/j0+OX42fjT+NH40vjS+NP41PjX+N344vjl+OX44vjg+OH44/jn+Or47/j0+Pz5CPkV+SP5Mfk/+U35XPls+X35jvmh+bb5zPni+fb6B/oW+iT6NPpG+lv6cPqD+pT6pPq0+sT61vro+vr7C/sb+yv7OftF+1L7Xvts+3r7iPuU+577p/ux+7r7xfvO+9f73/vl++z78vv4+/z7/fv9+/37/vwA/AL8BPwD/AD7/fv6+/j79vv0+/H77vvr++n76vvs++778fvy+/L78Pvr++T72/vQ+8b7v/u7+7v7vfu/+8H7wvvD+8X7x/vI+8f7xfvD+8D7vvu8+7n7s/ut+6j7pvup+6/7tvu8+8H7xfvK+9D72fvj++z79Pv6/AD8BPwJ/A38EvwZ/CL8Lvw+/FL8afx//JX8qfy7/Mz83Pzs/Pj9AP0D/QX9B/0M/RP9Gv0c/Rv9F/0U/Rf9IP0s/Tf9QP1I/VH9XP1r/Xj9g/2M/ZX9ov20/cv94/36/g/+Iv43/kz+Yf51/of+mP6p/rr+y/7d/u//BP8d/zn/U/9q/3z/jP+c/7D/yP/g//YACwAhADkAUwBuAIcAnQCwAMQA2QDxAQkBIQE6AVUBcgGQAawBxQHcAfICBwIXAh4CGgILAfgB5QHUAckBzQHyAkoC2wOXBFgE8QVFBVoFUgVYBYcF1gYgBj0GHAXMBXAFKAUBBO0E1QSrBHIEOwQYBAsEDQQOBAUD8wPgA9UD0wPYA98D4wPlA+UD5APlA+oD+AQTBDkEZwSTBLUEzwTjBPoFFgU1BU4FWAVNBS8FBQTYBLIEmQSQBJcEqwTEBN8E9AUBBQUFAQT4BO4E6ATmBOkE7gTyBO4E4QTLBLAEkgRzBFQENAQVA/gD4gPUA80DywPJA8ADsAOYA3kDVgMwAwsC5gLEAqUCiQJvAlgCRQI2Ai0CKgIrAjACOQJEAk8CVwJZAlICQwIxAiICHAIgAi0CPgJOAlkCYAJoAnQCigKpAs4C9gMeA0EDXQNtA20DWwM7AxEC5gLAAqICiwJ5AmoCXwJcAmECagJxAnMCcAJvAncCjAKrAsoC3wLoAucC5gLrAvcDBAMPAxkDKQNIA3gDrwPgA/wD/wPxA+ID4gP1BBcEPgRgBHgEiASUBKAEqwS2BMEEzwThBPUFBwUTBRoFIgU1BVgFigXDBfgGIQY9BlIGZwZ+BpUGpwavBq8GrgayBsAG1QbsBv8HDAcXByMHNAdKB2QHfQeUB6cHtwfFB9QH5Af2CAkIHggzCEkIXwh1CIkInAivCMII1wjtCQMJFwkpCTsJTQljCXoJkAmhCawJswm5CcQJ0wnmCfcKBgoRChwKJwozCj4KRApICkoKTwpXCmEKagpyCnkKggqOCpwKqQqxCrcKvQrGCtQK4QroCuMK1grHCroKsgqtCqYKnAqQCoYKgQp/CnwKdgpuCmYKYwpkCmUKYwpdClUKUQpRClsKYApaCkcKLwoXCgQJ9gnnCdcJyQnDCckJ2QnqCe8J5QnPCbgJqgmrCbkJywncCecJ7gnzCfgJ/goECgcKCAoECf4J+woAChAKKwpICmEKbwpzCnQKegqJCp8KtwrOCucLDAtDC4wL2AwWDDcMPAwyDCoMMQxKDGoMhwyaDKMMqgyyDLwMxgzLDM4M0wzeDPINCg0gDS8NNw08DUINTA1YDWENZQ1lDWQNag13DYwNpA24DcYNzw3VDdwN5Q3vDfgN/g4EDg4OHw46DlkOdw6MDpYOlw6YDp4OrQ6+DsQOsw6HDksOFA37DhIOVg60DxIPVA9zD3MPZg9cD1sPYQ9mD2MPWw9UD1UPXg9uD30PjQ+eD7cP2BAAECUQQxBaEHAQixCvENoRBBEnEUERVRFoEYERnhG+EdoR8RICEg8SGRIgEiUSJxInEigSLxI9Ek4SXhJoEmkSZBJfEl8SZhJvEnUSchJmElMSQRI0Ei0SJxIeEhAR/xHtEd0RzhHAEbARoRGTEYkRghF9EXURbBFiEVkRUxFPEUoRQxE7ETcRNxE8ET4ROREpEQ8Q8hDdENYQ2xDkEOYQ1xC0EIQQUBAjEAUP9w/xD+0P5Q/UD74PpQ+MD3QPXA9EDywPFg8BDu8O4g7YDtEOzA7GDr4Osw6nDpsOkA6FDnoObA5cDksOPQ41DjYOPw5MDlgOYA5fDlcOSg48DjQONQ48DkEOOg4eDesNrg17DWsNjQ3jDloO1w88D3QPfA9hDzYPDQ7yDuUO4w7jDuIO2w7MDrMOkg5rDkcOLg4jDh8OFg31DbUNWgz0DJkMWQw2DCYMGgwGC+cLwAuaC3gLWgs9Cx8K/greCr8KogqGCmcKRAoeCfUJzgmoCYQJXwk6CRII6Qi+CJMIaghDCB8H/AfaB7kHlgdzB04HKQcDBt4GuQaVBnEGTQYmBf8F2AWzBZEFdAVZBT4FHwT8BNYErwSMBGsETAQtBAwD6QPDA50DeANSAysDBALcArUCkQJtAkkCIwH7AdEBqQGDAV8BPAEYAPIAzACnAIMAYAA8ABb/8P/M/6v/jf9w/1H/MP8N/ur+yf6o/of+Y/4//hr9+P3X/bb9lP1v/Uz9Lf0S/Pj82/y4/JH8afxE/CT8Bvvo+8f7pvuG+2v7VPs9+yL7BPrl+sj6rfqU+nn6Wvo6+hr5/vnm+dD5t/mb+Xz5XvlE+S75GPj/+OP4xfin+I34dvhi+FH4Q/g3+C34JPga+A74APfz9+b33PfR98T3tPek95b3jPeE93v3b/df90z3Ovcq9x33EvcH9vz28vbq9uT23vbY9tD2yfbE9sP2w/bB9rr2r/ak9p/2o/aw9sP21/bn9vT2//cK9xX3IPcp9zH3OvdF91H3XPdl92r3bfdy93r3hfeR95v3o/ep97H3uvfF99D32vfi9+r38ff4+AD4CPgQ+Bn4Ivgr+DP4PfhJ+Ff4Zvhz+Hv4f/iC+Ij4lPii+Kz4rPij+Jf4j/iS+KH4tPjF+M/41fja+OT48vj++QT5BPkC+QX5EPkh+S75Mfkk+Qv47fjU+MP4vfi++MT4y/jU+N346Pj0+QD5CvkQ+Q75Avju+Nf4xPi7+L34yPjW+OH45/jq+Oz47/j0+Pj4+vj5+Pf49fj2+Pv5A/kL+RL5FPkR+Qz5CPkJ+RH5IPkw+T75SflT+WL5ePmT+a/5x/nZ+ev6BPop+lv6lPrI+vL7C/sW+xL7APrg+rX6hvpa+jf6H/oO+gT6AfoO+jD6bPq3+wD7M/tE+zf7G/sA+vP69/sD+wz7DPsE+vf66vrd+tL6xfq3+qn6nPqT+oz6hPp7+m76YfpT+kj6Pfoz+ib6F/oE+fD52vnC+aT5evlB+Pr4r/hp+DH4DPf19+T30ve896f3lveM94b3f/d292z3Zvdl92j3avdm91z3UPdI90X3RvdH90P3O/cy9yv3Jfcd9w/2/fbq9tv20/bR9tH20PbP9tH22fbn9vr3DPcc9yr3OPdH91b3Yfdo92z3cPd494H3iveP94/3ifeC93v3dfdw92v3Z/dl92j3bvd393/3hveK94v3iveI94b3hveJ95H3nPem96/3tve798D3x/fQ99r35ffv9/v4B/gU+B/4J/gs+C34KPge+Az39Pfa98L3s/eu97T3w/fY9/H4Cvgg+DP4PvhC+EH4QPhB+Eb4TvhW+Fz4YPhj+Gj4b/h4+IH4i/iX+KX4tfjG+NT44Pjp+PL4+vkD+Qv5EPkQ+Qz5CPkG+Qj5D/kZ+SP5Lfk2+T35Qfk++TX5JPkN+Pb45Pjc+OH48fkH+R75Mvk/+Uf5SvlI+T/5L/kY+Pv43PjA+Kv4n/id+KP4r/i++Mr41PjY+Nr42PjU+M/4yPjC+L74vfjC+Mr40vjY+Nr42vjZ+Nn42/jd+OD45Pjp+PD4+vkH+RT5Ivkx+UH5Uvll+Xj5jPmf+bL5xfnX+ej5+PoG+hX6Jvo5+kz6X/px+oH6kfqh+rH6wvrT+uX69/sJ+xn7J/sz+z77SftW+2T7c/uC+5D7nPun+7L7vfvG+8371Pva++H75/vt+/D78fvx+/H78vv1+/j7+vv5+/f79Pvx+/D77/vt++v75/vi+9772/va+9v73fvf++H74fvf+9n70fvI+8D7uvu1+7P7sfux+7L7tfu6+7/7xPvH+8n7yfvL+8z7zfvL+8X7vPuy+6v7qfur+7D7tPu2+7f7t/u6+8H7zPva++n79/wD/Av8D/wQ/A/8DvwQ/Bf8JPw0/Ej8XPxw/IL8k/yk/LT8w/zS/N385vzr/PD89vz+/Qf9Df0P/Qz9B/0E/Qf9EP0b/Sb9Lv01/T39SP1V/WL9bf14/YP9kv2l/bv90f3m/fn+DP4g/jT+R/5Y/mf+d/6I/pv+r/7D/tf+7P8D/x7/Ov9T/2n/e/+N/6H/uP/R/+oAAgAZAC8ARwBfAHYAiwCeALEAxADXAO0BBgEiAUEBZAGFAaMBvQHUAeoB/QINAhUCFAIMAgAB8AHeAcwBxQHaAh8CnwNPBBEEugUvBWoFgQWUBbcF5gYKBgkF2gWKBTYE9wTUBL8EpgR8BEYEEQPtA94D3APcA9YDygPBA78DxwPUA98D5gPnA+QD4APgA+YD9gQTBDwEawSYBL4E2QTuBQIFGQUzBUsFWwVcBU8FNwUZBP0E5gTXBNEE1ATcBOUE7ATuBOgE2wTKBLsEswS0BL4EywTUBNQEygS5BKUEkwSCBHEEXQRGBC4EGgQMBAQD/QPxA94DxAOmA4YDZwNHAyYDBALhAsACowKLAngCaAJcAlMCTwJSAlwCbAJ+ApACmwKeApUChAJtAlUCQQI0Ai8CLgIwAjMCNgI8AkUCVAJqAoUCqALQAv0DKQNLA1wDVQM3AwgC1QKqAo0CfwJ6AnoCfAKBAokClAKfAqcCrAKzAsAC2AL3AxcDMAM+A0IDQgNAAzwDNgMtAysDPANpA7QEDQReBJAEnQSMBHAEXQReBHIEkAStBMQE1QThBOsE9AT8BQMFDQUbBSsFOQVDBUgFTgVdBXsFpgXXBgcGLQZNBmkGhgakBr8G0QbXBtQGzwbPBtgG6Ab6BwkHFQcgBy0HQAdYB3EHigegB7MHxQfXB+gH+ggKCBkIKAg4CEsIYAh4CI8IpAi2CMUI1QjlCPUJBgkWCSYJOglQCWkJgAmRCZoJngmhCakJtwnKCdsJ6QnxCfgJ/woIChIKGwojCioKNApBCk8KXQpqCnQKfwqLCpgKpAqsCrIKugrGCtcK5wrwCu8K5ArWCsoKwwq9CrYKrQqjCpwKmAqWCpIKiwqACncKcQpvCm0KZgpbClEKTQpSClgKXgpdClAKPAonChUKBwn7Ce8J5wnlCe4J/QoMChEKCAn0CdwJyQnDCckJ1QniCesJ8Qn0CfYJ+gn/CgUKCQoMCg8KFAodCisKOwpLClgKYQppCncKjQqsCs8K8gsUCzgLZQueC9wMFAw8DE0MTwxPDFkMcgyVDLYMzQzYDNwM3gzjDOoM8Qz3DP8NCw0eDTQNRw1RDVINTw1PDVYNYw1xDXsNfw1/DYINjA2gDbgNzw3fDeYN6A3pDe0N9A3+DgcOEQ4bDisOQQ5aDnMOhQ6NDpAOkw6fDrUO0A7fDtUOrA5rDicN+w36DikOfA7bDy0PXw9xD2wPXg9SD0sPSA9EDz8PPA8+D0cPVQ9mD3cPig+hD78P4hAGECcQQhBaEHYQmRDDEPARGhE6EVERYxF2EY4RqhHJEeYR/xITEiQSMRI8EkMSSBJKEk0SVBJhEnISghKNEpESjRKHEoMShBKIEosSiBJ/EnASYhJWElASSxJGEjsSLRIaEgUR7xHZEcURtRGpEaMRnxGZEY0RfBFnEVURRhE8ETURLxErESsRMBE4ET0RNxElEQkQ7BDYENIQ2BDgEN4QyxClEHQQQxAcEAMP9w/yD+0P4g/RD7oPnw+DD2cPTA8zDxwPBQ7wDt0OzA6+DrQOrw6rDqkOpQ6fDpcOjA6ADnMOZQ5ZDlEOTA5LDk0OTg5ODkwORw5ADjYOKw4hDhoOGA4aDhsOEg36DdMNpQ2ADXYNkw3WDjQOmA7sDyMPOA8xDxgO+w7gDs0OxA7DDskO0g7WDs8OuA6TDmkORA4vDigOKA4eDfoNug1kDQgMtgx3DEwMLAwQC/ALzgurC4oLawtMCywLCgroCscKpwqICmUKPwoWCesJwwmeCX0JXQk8CRcI7wjECJgIbQhFCB4H+wfaB7oHmwd7B1gHMwcLBuIGuQaTBm4GSgYmBgAF2wW4BZsFggVrBVAFMAUJBN4EtQSRBHMEVwQ6BBgD8wPMA6YDgQNdAzcDDwLlAr0CmAJ2AlQCMAIIAd4BtQGQAW4BTgErAQUA3QC2AJEAbwBMACkABf/i/8H/ov+F/2f/Rv8j/v/+2/64/pb+c/5P/iz+C/3s/cz9q/2J/Wj9Sv0u/RL88vzO/Kf8gPxd/D38H/wA++D7vvug+4X7bftV+zn7G/r7+t/6xfqs+pH6cvpR+jL6GPoB+ev50Pmx+Y/5bvlS+Tv5JPkK+O34z/ix+Jj4g/hx+GH4UvhG+Dz4M/gr+CD4EvgD9/P35ffY98r3vPev96P3mveR94j3e/dr91r3Sfc69y33IfcW9wv3Afb59vL26vbg9tX2zPbH9sb2xfbC9rr2r/al9qL2qfa59sv23Pbq9vT2/vcJ9xT3Hfcl9y33NPc/90v3V/dg92f3bPdy93r3hPeN95X3nPei96r3tPe998X3zPfR99f33vfm9+/3+fgC+Av4FPgb+CH4J/gw+D34Tfhc+GX4afhr+HD4fPiO+J/4p/ij+Jb4ifiG+I/4oPiy+MD4x/jN+Nb44/jx+Pn4+/j5+Pn5AfkP+R75JPkb+QX45vjJ+LT4qviq+LD4ufjD+M342Pjk+O/4+fj++Pr47vja+MT4svir+K/4uvjG+M74z/jO+M740/ja+OD44Pja+ND4yfjJ+NH43/jt+Pb4+Pj2+PT4+PkB+Qz5Fvkb+Rz5Hvkm+Tj5Uvlv+Yr5ovm8+d76C/pC+nf6ofq2+rb6qPqT+nv6YPpC+h/5+/nb+cP5sPmh+ZP5jfmZ+b/6AfpP+pf6w/rM+rn6m/qG+oL6jvqe+qn6qPqf+pP6ifqB+nr6b/pi+lP6Rvo9+jf6M/ot+iX6GfoJ+ff54/nP+bz5qvmZ+Yn5dvle+Tr5CPjG+Hn4Kvfm97T3lveG93r3avdW90H3Mfcq9yj3J/ci9xn3D/cK9wr3C/cK9wP29/br9uL23PbY9tL2zPbG9sL2v/a69rD2ofaR9oP2fPZ59nr2fPZ+9oP2jfac9q72wfbS9uD27vb89wj3E/ca9x/3JPct9zj3RPdO91L3UvdN90X3PPcz9yr3I/cf9x/3JPct9zn3RfdP91X3VvdT91D3T/dT91r3Y/ds93H3dPd39333h/eU96L3sPe898j31Pff9+v39ff/+An4D/gR+Az3/ffm98v3sfec94/3jfeU96T3u/fW9/D4BvgW+CD4KPgu+DX4Ofg7+Dr4N/g2+Dn4QvhN+Fn4ZPhu+Hn4hviV+KT4sPi7+MT4z/ja+Ob47/jz+PP48Pjr+On46vjw+Pj5A/kQ+Rv5Jfks+Sz5JfkX+QP47/jc+M/4yPjI+M742Pjn+Pn5Dfkh+TH5Ofk1+SX5C/jq+Mn4q/iU+Ib4gviG+JD4nvit+Lv4xfjK+Mv4x/jB+L34vPi++MP4yfjM+M74zvjQ+NL41/jb+OD45Pjo+O349Pj9+Qf5FPki+TT5SPle+XT5ifmc+az5u/nI+db55Pn1+gf6G/ov+kP6VPpl+nT6g/qS+qL6sfrA+s/64Prw+wH7D/sc+yb7Mfs8+0n7WPto+3f7hvuU+6H7rfu3+7/7x/vO+9X73Pvh++X75/vn++j76/vu+/H78vvx++776/vo++j76Pvn++X74vvc+9b70PvL+8n7yPvK+8z7zPvK+8X7v/u5+7P7rvuq+6T7n/ua+5j7mvug+6f7rfuy+7X7ufu9+8P7xvvG+8H7uvuz+677rvuv+7D7r/ut+6r7qvuu+7f7xPvU++X79vwG/BL8Gvwc/Br8F/wW/Bn8Ifwt/D38Tvxf/G/8fvyM/Jr8qPy1/MH8y/zT/Nz85Pzt/Pb8+vz7/Pj89Pzz/Pn9A/0P/Rr9If0n/Sz9NP0//Uv9WP1m/XT9hf2Y/av9vv3Q/eL99f4J/h3+Lv49/kn+Vv5l/nr+kP6n/r3+0v7q/wP/Hv85/1H/Zf94/43/pf+//9n/8gAKACAANwBOAGUAfACSAKUAuADKAN0A8wEOAS4BUQF0AZUBsgHMAeMB9wIHAhACEgIQAgkB/QHrAdUBxAHLAf8CbgMRA88EggULBWAFiwWkBboF0QXZBcUFjwVEBPkEwQSeBIgEbwRKBBoD7APKA7gDsQOtA6gDpAOlA68DwAPTA+ID6QPpA+UD4gPjA+sD/QQbBEMEcgSgBMcE4wT2BQYFGAUuBUcFXQVrBW8FaQVdBU4FPwUxBSMFFAUFBPUE5QTVBMMEsASeBJEEjASQBJsEqASxBLIEqwShBJgEkgSOBIcEeQRlBE4EOQQpBB0EEAP8A98DvAOZA3kDXANBAyIDAALcAroCnwKNAoECeQJwAmgCYgJiAmoCegKMAp4CqgKuAqgCmgKFAmsCUAI3AiMCFgIPAg4CEQIYAiECKwI6AkwCZgKIArIC3wMHAx4DHgMEAtgCpwJ/AmgCZAJsAnoChwKVAqICsQLAAswC1QLfAu4DBwMoA00DbwOKA50DpwOqA6IDkAN4A2YDagOTA+MESgSyBP8FIwUhBQkE7wTiBOYE9gULBR0FKwU3BUAFSAVOBVIFVQVZBV4FYwVmBWkFbwV8BZMFtQXeBgsGNwZjBowGswbSBuYG7gbqBuQG4AblBvEHAQcRBx0HJwczB0IHVQdrB4IHlwepB7wHzwfiB/YICQgZCCUILwg6CEkIXAhzCIsIogi0CMMI0AjbCOcI9AkBCREJJAk7CVYJbgmBCYwJkAmSCZgJowmyCcAJywnRCdcJ3gnpCfcKBAoRCh0KKwo8Ck8KYApvCnoKhAqNCpYKngqkCqkKsQq+CtEK5Qr0CvkK9grsCuEK1wrPCsYKvAqzCqwKqAqmCqEKmQqNCoMKewp4CnQKbQphClQKTgpQCk4KTwpMCkQKOAoqCiEKHAobChsKHQohCigKLwozCjAKJAoQCfoJ6QnhCeAJ5QnsCfEJ9Qn4CfwKAQoICg8KFwodCiUKLQo3CkIKTQpXCmIKbwqDCp8KxArtCxYLOwtfC4QLrwveDAwMLwxCDEkMTQxZDHMMlwy9DNsM6wzxDPQM+A0ADQoNEw0dDSoNPQ1VDW0Nfg2FDYMNfw2BDYoNmQ2mDa8Nsg21Db0NzA3hDfcOBw4QDhIOEA4ODg4OEQ4XDh8OKg46Dk4OYw52DoAOgw6BDoUOlA6yDtYO8A7wDs0Oig49DgAN6g4GDk0OqQ8BD0IPYg9oD10PTA88DzAPKQ8kDyQPKQ8yDz8PTg9eD3APhw+kD8YP6xAOEC0QSRBnEIkQsBDbEQURKhFIEV8RdBGKEaIRvhHbEfYSDRIiEjUSShJiEn0SmBKuErsSvxK7ErQSrBKlEp0SkhKFEngSbxJrEmwSbhJvEm8SbBJrEmwSbRJtEmYSVxJAEiQSBRHoEdARvxG0Ea4RpxGdEYwRdxFhEU8RQhE5ES8RJREbERURFREaESARIBEVEQAQ6RDXEM4QzBDJEL4QphCFEGAQPxAmEBYQCg/+D+8P3A/GD68Plg97D18PQw8oDxAO+g7lDtEOvQ6qDpoOjg6HDoQOhA6DDoAOeA5sDlwOTQ5BDjsOOg46DjkOMw4oDh0OEw4MDgkOBg4DDf0N9w3wDegN2w3HDa4NlQ2EDYANjg2sDdYOBg44DmgOlA64DtAO2g7VDsUOsw6pDqsOuQ7LDtgO1Q6+DpgObw5PDj4OOg44DisOBw3JDXkNIQzMDIEMQwwOC+ALuAuUC3ULWQtACygLEAr3CtwKvwqdCnYKSgobCesJvgmXCXQJVAk1CRMI7gjGCJ0IdAhMCCUIAAfbB7gHlwd2B1UHMgcLBuIGuAaPBmkGRgYlBgUF5QXHBa0FlgV+BWIFPwUVBOgEvASXBHgEXAQ/BB0D9wPQA6sDiQNnA0MDGwLxAsgCogJ/Al0COgISAekBwQGeAX4BXgE8ARYA7QDFAKEAfwBgAD8AHP/5/9b/tv+X/3f/Vf8x/wz+6P7G/qX+hP5j/kL+If4B/eD9v/2e/X/9Y/1H/Sv9C/zm/L/8mfx1/FX8N/wX+/b71fu3+537hPtr+0/7MfsR+vT62frA+qX6h/po+kv6MfoZ+gD54/nB+Z35e/lf+Ub5MPkX+Pr43fjA+Kj4lfiE+HX4Z/hZ+E34Qvg3+Cr4G/gL9/v37Pfe99D3w/e396z3o/ea94/3gvdz92P3VfdH9zv3L/cj9xj3D/cH9v728vbk9tb2y/bE9sL2wfa89rL2p/ag9qH2rPa99s/23vbp9vH2+/cH9xP3Hfck9yn3L/c390D3SvdT91v3Yvdq93P3e/eB94b3iveQ95n3over97L3uPe998T3zffW99/35vft9/X3/fgF+Av4EfgY+CP4MvhB+Ev4UPhR+FT4X/hz+In4mPia+I/4gPh3+Hv4ific+Kz4tvi++Mf41Pji+Oz47/jt+Or47vj6+Qj5EPkL+Pj42vi7+KP4lfiQ+JH4lvid+Kf4s/jA+M742Pjd+Nn4zvi9+Kv4nfiX+Jv4o/is+LH4s/i0+Lf4v/jJ+M/4zPjB+LD4o/id+KL4rvi6+MP4x/jK+NL44fjy+QD5BvkE+P34+vkA+Q/5JPk7+VL5bfmW+c76D/pM+nP6efpf+jL6A/ng+c35xfnA+bf5qvmZ+YX5bflR+TT5I/kq+VP5mPnp+i/6Vvpb+kj6L/oi+iT6Mfo/+kf6R/pE+kD6Pfo4+i36HfoL+fr58Pns+ev56/no+eD50/nB+av5kvl3+V35RPkt+Rf4/vje+LP4fPg59+73pvdp9z/3KPce9xf3C/b69ub22PbS9tT21/bW9s72w/a49rP2sfaw9qv2ofaV9oj2fvZ29m/2afZl9mL2YPZc9lX2SvY+9jP2LfYs9i72MvY19jr2Q/ZP9mD2cfaC9pH2n/as9rn2xPbN9tT22/bk9u/2+/cH9w/3EvcP9wj2//b29u726Pbk9uP25fbs9vb3A/cQ9xv3Ifci9yD3H/ch9yf3Lfcz9zb3Ofc990T3T/dd92z3e/eI95X3ofet97n3w/fN99f34vft9/T39Pfs99z3xPeq95D3evds92n3cveE95z3tvfQ9+f3+/gN+Bz4Jfgo+CX4H/gb+B34I/gu+Dj4QfhJ+FL4Xfhq+Hj4hPiO+Jb4n/iq+Lb4wvjM+NH40vjR+M/4z/jQ+NT42Pje+OX47fj3+QD5BvkI+QP4+Pjp+Nj4yPi7+LP4sfi1+L/40Pjl+Pv5Dvkb+R35FvkF+O741Pi6+KP4kPiC+Hv4e/iB+Iv4l/ij+Kz4s/i4+Lz4wPjE+Mb4yPjH+MX4xPjF+Mn4z/jW+Nz44/jp+O/49vj9+QX5D/kc+Sz5QPlW+W35gvmU+aT5sPm7+cf51Pnl+fj6Dvok+jn6S/pc+mv6evqJ+pf6pPqw+r36yvrY+uf69vsD+xD7HPso+zT7QvtQ+1/7bvt++437m/un+7H7uvvD+8v70vvY+9z73vvg++P75vvp++r76fvn++P74Pve+9373fvd+9v72PvU+877yPvC+7z7ufu4+7j7t/u1+7D7q/um+6L7nvuZ+5P7i/uE+4D7gPuE+4n7jvuR+5T7mPud+6P7p/up+6n7p/un+6r7rfuu+6z7p/uh+537n/um+7L7vvvM+9n76Pv3/Af8FPwc/CD8IPwg/CD8JPws/Db8Q/xQ/F38avx3/IP8j/yc/Kn8tvzB/Mv81Pzc/OL85vzn/Ob85vzp/PH8/f0K/RT9Gv0d/SD9Jv0u/Tv9SP1X/Wf9d/2I/Zn9qf26/cv93v3y/gX+Ff4i/iz+N/5F/ln+cf6K/qL+uf7R/ur/Bf8e/zb/TP9g/3b/jv+o/8P/3v/3AA4AJAA8AFQAbQCFAJsArwDCANUA6gEDASABQQFkAYYBpgHDAd4B9AIEAg4CEwIVAhICCgH4Ad0BxQHCAesCTwLoA6AEUgTfBTcFYgVyBXoFggWDBXMFSwURBNIEmwRzBFQENwQWA/ID0QO4A6gDoAObA5kDnAOnA7kDzwPiA+0D8APtA+oD6gPuA/oEDAQnBEwEdgSgBMQE3wTyBQEFEwUqBUQFXQVuBXUFdQVyBXAFbwVrBWAFSwUsBQcE4gTCBKkElwSLBIQEgwSFBIwElASaBJ0EnQScBJ0EnwSdBJUEggRnBEoEMAQdBA0D/APjA8MDnQN4A1gDPQMjAwYC5QLDAqQCjwKDAn4CewJ2Am4CZwJkAmgCcQJ9AocCjgKOAokCfwJuAlgCPgIiAgoB+QHwAfAB9gH/AgoCFAIeAikCNgJJAmICgAKbAqwCrAKZAnkCVQI5Ai0CMQJBAlYCawKAApMCpwK4AscC0wLgAvQDFAM+A28DngPFA+ID9AP8A/oD6wPVA78DugPUBBQEdATgBT8FfgWXBZEFfQVqBWIFZwVzBYMFkQWeBagFsAW0BbQFrgWlBZsFkgWLBYkFigWSBZ8FtgXWBgMGOQZ0Bq0G2QbyBvcG7gbhBtsG4QbzBwkHHgctBzcHPwdLB1sHbgeCB5QHpQe0B8QH1AflB/UIBAgTCB8ILAg4CEYIVghqCH8IlQipCLoIyAjUCN8I6gj0CQEJEQknCT8JWAluCXwJhAmKCZEJmgmnCbIJuwnCCckJ0gngCfAKAAoQCh8KLwpCClcKagp6CoUKjgqWCp0KogqmCqgKrQq2CscK3ArvCvoK/Qr5CvAK5grcCtIKyAq+CrcKswqvCqoKoQqVCooKggp/Cn0KeApvCmIKVwpQCk8KTApKCkYKQAo6CjYKNwo7CkIKSApLCksKRwo/CjUKKAobCg4KBQn/Cf4J/woBCgQKBgoKCg4KEwoYCh0KIAokCisKNgpEClQKYwpyCoEKlAqwCtULAQstC1ULdQuQC6sLyQvoDAUMGQwjDCkMMgxHDGcMjAytDMMMzwzYDOIM8Q0DDRUNIw0wDUANVQ1vDYkNnA2oDa0Nsg27DccN1A3eDeUN6g3yDgAOEg4kDjIOOg48Dj0OPg4/DkAOQQ5CDkcOUg5jDnUOgg6GDn8OdQ5zDoAOoA7LDvAO/Q7jDqUOVA4KDeIN6w4hDnUOzA8TDz4PTQ9HDzYPIw8SDwcPAg8FDxAPHw8vDz0PSg9XD2oPhg+oD88P9BAWEDYQVRB3EJwQxBDqEQ4RLhFLEWYRgRGdEboR1hHwEggSGxItEkISYBKNEsgTBhM6E1UTUhM0EwcS2hK3Ep8SjhJ/EnESYxJZElUSVhJZElwSXxJjEmsSdBJ7EnoSaxJPEisSBhHmEc4RvhGxEaQRkxGAEW4RYRFcEV4RYRFfEVERNxEWEPoQ6BDlEOwQ9RD4EPIQ5xDaEM4QxRC5EKcQjxB1EF0QSxA9EDAQHhAFD+kPzA+0D6EPjg95D18PQQ8iDwYO7g7bDskOtg6iDo4Oew5sDmMOXg5cDloOVQ5KDjwOLA4gDhkOFw4VDg8OBA30DeUN3A3ZDdwN4A3hDd8N1w3MDb0NrA2ZDYkNfQ14DXgNeQ15DXcNfA2SDb8OBQ5XDqUO3Q72DvIO3Q7IDsAOxw7aDuwO8w7oDssOpQ5/DmEOTw5EDjgOIQ34DbkNaQ0RDLgMZgwfC+ILrguDC14LQQspCxYLBQr0CuAKxgqmCoEKVgooCfgJyQmcCXMJTQkoCQQI4Ai7CJYIcwhQCC0ICAfiB7oHkgdsB0gHJQcDBt4GtwaPBmkGRwYoBgwF8gXXBbwFoQWFBWYFQgUZBO4ExASfBH4EXwRABBwD9gPPA6oDiANmA0QDHgL2As8CqgKHAmUCQQIaAfIBzAGpAYkBagFIASEA+QDSAK8AjwBxAFEALwAM/+n/x/+m/4X/Y/8+/xr+9/7X/rn+m/58/lz+Ov4X/fT90v2x/ZP9d/1d/UH9Ivz+/Nj8svyP/G78Tvwu/A377PvO+7L7mft/+2L7Q/sj+wT65/rM+rH6lfp4+lz6Qvon+gz57fnK+aj5h/ls+VT5Pfkk+Qn47fjR+Lr4pviW+Ij4e/ht+F/4UPhA+C/4HfgM9/z37fff99L3xfe697D3qPeg95X3h/d492n3W/dO90L3Nvcq9x/3FfcM9wH28/bj9tP2x/bA9rz2ufay9qj2nvaZ9p32qva79sz22fbj9uv29PcA9wz3Fvce9yP3KPcu9zT3O/dC90n3Ufdb92X3bPdw93L3dfd694L3i/eT95r3n/em97D3vPfH98730vfV99r34vfs9/X3+/gC+Ar4F/gl+C/4Mvgx+DL4O/hP+Gn4fviI+IL4dfhr+Gv4d/iJ+Jn4pPir+LT4wfjQ+N344/ji+OD44vjr+Pf4//j6+Ob4yPin+Iv4efhw+G74cPh2+IH4jvid+Kr4s/i1+LH4qPib+I74hPh++H74g/iL+JT4nPik+K74uPjA+ML4vPit+Jr4iPh9+Hv4f/iF+Iv4kfib+Kr4v/jT+OL46Pjn+OL44vjm+Oz48/j7+Qv5Lvlo+bb6BPo6+kb6Ivnf+ZX5XflF+Un5W/lr+XL5bflg+Ur5LfkJ+Ob40vjb+Qf5Tvmc+dn59/n2+eP50PnJ+c752fnk+ez59Pn9+gn6EPoM+fn53fnA+av5pPmm+a35r/mq+Z75jfl4+WL5Sfkt+RD48PjO+Kj4ffhO+Bn34Pej92X3K/b69tn2x/a/9rv2tPao9pj2ivaF9ob2ifaJ9oL2dvZp9l/2WPZU9k72RfY59iz2IvYb9hX2D/YL9gf2BPYC9f/1+vX09e316fXo9ev17vXx9fT1+fYB9g72HfYu9j72TfZb9mj2dfaA9or2k/ac9qX2r/a59sL2xvbF9sH2uva09rD2r/av9q/2sPaz9rr2xfbT9uH26/bw9vL28fby9vb2+/cB9wX3CvcP9xf3Ivcu9zv3R/dT92D3bfd794j3k/ec96X3sPe898n31Pfa99f3zPe49573g/dq91j3UPdR91z3bPd/95b3sPfL9+b3/fgN+BX4F/gV+BT4FfgX+Bv4H/gk+C34OPhF+FL4Xfhl+Gv4cvh6+IX4kfic+KT4qvit+K/4sfiz+LX4tfi2+Lf4u/jC+Mz41/jh+Oj46vjn+OL43PjW+NH4zvjK+Mf4xvjH+M341fjg+Or48vj2+PX47/jj+NL4vPij+Ir4dfhn+GD4Yfho+HP4gPiO+Jz4qfi0+Lz4wPjB+MD4v/i/+MH4xPjJ+M741vje+Oj48vj8+Qb5D/ka+Sf5N/lK+V75c/mI+Zr5qfm2+cH5zfnb+ez5//oV+ir6PvpQ+mD6cPqA+o76nPqo+rP6v/rL+tn65/r2+wT7Evsf+yv7N/tC+0/7XPtr+3v7ivuX+6L7rPu1+777xvvM+9H71PvY+9z74Pvi++L74Pvc+9j71vvV+9X71PvS+8/7zPvJ+8b7wfu7+7X7r/ur+6j7pvuj+577mPuR+437iPuE+3/7ePty+277bvtw+3P7dvt3+3f7ePt7+377gPuD+4b7i/uS+5v7ovul+6L7m/uV+5P7l/ug+6v7tfu9+8X7zvvb++v7/PwK/BT8G/wg/CT8KPwu/Db8PvxI/FP8Xfxn/HP8f/yN/Jz8qvy3/ML8yvzR/Nf82/ze/N/84vzn/PD8/P0H/Q/9FP0W/Rf9G/0j/S/9PP1K/Vj9Z/12/Yb9lv2n/bj9yv3c/e39/P4I/hP+H/4u/kH+Wf5y/ov+pP68/tX+7v8G/x3/Mf9F/1v/c/+O/6r/xv/f//cADgAlAD4AVwBvAIcAnQCyAMkA4AD7ARkBOAFZAXoBmwG6AdYB7QH+AgkCEQIWAhgCEgIAAeIBwwG3AdgCNALHA3oEJwSuBP8FHgUgBRsFHAUjBSUFFgT1BMUEkARdBDAECgPpA84DuwOuA6cDowOiA6YDsAPCA9oD8QQBBAcEBQQBA/4EAQQKBBYEJwQ9BFoEfASgBL8E1wTpBPoFDgUlBT4FUQVaBVoFVQVUBVsFagV5BXwFbAVJBRgE5gS9BKIElQSQBI8EjgSNBI0EkASXBJ8EqQSyBLgEuASuBJcEdwRQBCsEDAP1A+IDzQOxA40DZAM9AxsC/wLmAs0CsgKYAoQCdwJwAmwCZQJbAkwCPgI0AjACLwItAigCHwIRAgIB8QHgAc4BuwGqAZ0BlwGZAaQBtAHGAdgB5QHvAfMB9QH3AfwCBgIRAhoCHQIVAgYB9QHpAegB8QICAhcCLgJFAlwCcwKIApwCsALJAu0DHwNdA58D2gQGBB8EKwQwBDEELgQnBB0EGAQkBEwElATxBVEFoAXQBd4F1QXCBbMFrwW4BcgF2gXtBf0GCQYRBhIGCgX6BeQFzwW+BbQFrwWtBbAFugXSBf0GOQZ/Br4G6Qb4Bu4G2gbMBtAG5wcJBykHQAdLB08HVQdhB3EHgweUB6IHsAe/B84H3AfoB/EH+ggFCBMIJAg2CEYIVghlCHUIiAibCK8IwQjRCN0I6QjzCP4JDAkeCTMJSglgCXEJfQmHCZIJngmsCbkJxAnMCdMJ3QnpCfgKBwoWCiUKNgpIClwKbwp/CosKlAqdCqUKqwquCq4KrwqzCr4KzgrgCu0K8wrxCuwK5QreCtcKzwrICsEKvAq3CrIKqgqeCpIKiAqDCoEKfgp4Cm4KYQpWCmEKYgpkCmYKZApfCloKWApaClwKXQpZClEKRQo6CjAKKgonCiQKIgofCh0KHAobChwKHQoeCh8KIAohCiEKIgolCiwKOgpOCmMKdwqHCpUKpwrCCugLFgtFC2sLhQuUC58Lqwu8C88L4gvzDAQMGgw2DFcMdgyODJ0MqAy1DMkM4wz+DRYNKA01DUMNVQ1rDYMNmA2pDbcNxg3UDeIN7Q30DfsOBQ4VDigOPA5JDlAOUQ5TDloOZA5uDnYOeQ56Dn8Oig6YDqMOow6WDoEOcQ5yDooOtA7fDvYO6Q61DmcOGQ3mDd4OAw5JDpgO3Q8KDx0PHA8PDv0O6w7dDtYO2g7qDwEPGw8wDz4PSQ9WD2wPjA+zD9oP/hAdEDsQXBCAEKYQyhDqEQcRJBFDEWURhxGnEcYR4xH9EhQSJhI2EkoSbhKoEvgTUBOZE74TtBOAEzgS9BLFEq8SqxKvErESrhKnEp4SkRKAEmsSVxJKEkkSUxJfEmQSWBI9EhoR+RHiEdQRyRG4EZ4RfRFdEUsRThFlEYgRpBGrEZQRYhEiEOcQwBCzELsQzRDdEOMQ4RDXEMwQwBCyEKAQixB3EGYQWBBMEDoQIRAAD90Pvw+pD5oPjg98D2IPQA8aDvcO2w7IDroOrg6gDo8Oew5mDlMORA46DjMOLA4iDhUOCA39DfYN8g3uDecN2w3MDb8NuA22DbkNvQ2/Db4NuQ2xDaQNlA2CDXMNag1pDWsNaA1dDUsNPQ1FDXANwA4oDpEO5Q8WDyQPHA8PDwkPDg8aDyQPJQ8YDv0O2Q6wDogOZQ5HDi4OEw3xDcINhw1BDPUMqwxmDCYL6wu0C4ILVQswCxEK9grcCr8Knwp9ClsKOQoXCfQJzgmlCXkJTQkjCPkI0QiqCIUIYwhECCcICAflB7wHkAdkBzsHGAb4BtgGtQaQBmsGSQYrBhAF9wXdBb8FngV7BVcFNAUQBOsExwSiBH8EXQQ7BBcD8QPLA6UDgQNeAzsDFwLzAtACrQKLAmoCRgIgAfoB1gG0AZUBdQFUAS8BCQDkAMIAogCDAGMAQAAd//r/2P+3/5b/dP9R/y7/Dv7v/tL+tf6W/nT+Uf4t/gr96P3H/aj9i/1v/VL9M/0R/O38yPyl/IT8ZfxF/CT8A/vk+8f7rPuR+3X7Vvs1+xT69frY+r36ovqH+mv6T/ox+hP58/nS+bP5lfl6+WH5Sfkv+RT4+fje+Mb4svih+JP4h/h7+G34XPhJ+DT4IPgP9/737/ff99D3w/e697P3rven9533jvd992z3XvdT90f3PPcv9yL3F/cM9wD28vbi9tL2xva/9rr2tvau9qP2mfaV9pn2pfa29sX20fba9uL26vb09v73B/cP9xb3Hfck9yn3Lvcx9zb3PvdI91L3W/dg92L3Zfdr93P3eveA94P3hveN95j3pvey97n3vPe998L3yvfV99/35vfr9/L3/fgK+BP4FvgU+BL4GPgs+Ej4Y/hz+HP4afhg+GD4avh6+In4k/iZ+KH4rfi++M742Pja+Nj42vjh+Ov48fjr+Nf4t/iU+HX4YPhV+FP4WPhi+HD4gPiN+Jb4mfiX+JL4i/iF+H34dPhs+Gb4Zvhv+H34jvie+Kr4sPix+Kz4o/iX+Ij4efhu+Gf4ZPhk+Gb4a/h1+IL4kvii+K74t/i++Mb4zvjS+M/4xvjB+M34+PlD+Z/57voT+f75ufle+RH46fjr+Qb5Jfk2+TT5JPkP+Pf42/i8+J/4kvii+NP5Gvli+ZP5o/mX+YH5b/ls+XP5f/mK+ZX5p/nA+dz57/nt+dX5r/mI+W75Z/ls+XT5dfls+Vn5Qvkr+Rb5APjo+Mz4qPh7+EX4BvfE94P3SPcU9ub2v/ad9oP2cfZo9mT2X/ZX9kv2P/Y39jT2NPY09i/2JfYY9g32A/X69fH15vXZ9c71x/XC9b/1u/W29bH1rvWu9a/1sPWu9av1qPWn9aj1q/Wu9bD1svW39b/1zPXc9ez1+vYH9hP2H/Ys9jr2RvZQ9ln2YfZp9nD2dfZ39nb2c/Zx9nH2dPZ49nv2fPZ99oH2ifaV9qP2r/a49rz2vfbA9sT2yvbR9tj23/bm9u72+PcB9wv3FPce9yr3OPdI91f3ZPdv93n3gveM95f3over97H3sfer9573jfd692j3WvdP90j3RPdE90r3Wfdx95L3tvfX9/L4A/gK+Ar4B/gD+AD4APgD+Av4Fvgi+C34Nvg8+EH4R/hP+Fn4Y/hu+Hb4ffiD+Ij4jviU+Jj4nPie+J/4ofik+Kn4sfi5+ML4yvjR+Nn44vjt+PX4+vj5+PH45PjV+Mb4vfi5+L34xvjR+N745/jq+OT41fi9+KD4gfhm+FD4Qvg7+Dz4QvhN+Fz4bfh++I74nPin+K/4tvi6+Lz4vfi++MH4xvjP+Nv46Pj1+QH5DfkZ+SX5MvlB+VL5Zfl5+Y75oPmw+b35yPnU+eL58/oG+hr6LvpB+lL6Yvpy+oL6kvqi+rH6vvrL+tj65vr0+wP7Evsg+yz7NvtA+0r7Vfti+3D7ffuI+5L7mvuj+6v7s/u7+8H7yPvO+9X72fvc+9v71/vT+9D70PvQ+9D7z/vL+8f7w/vA+777u/u2+6/7qPui+577mvuV+4/7iPuB+3v7d/tz+2/7a/tn+2X7ZPtl+2b7Z/tm+2X7ZPtj+2L7Yvtj+2b7bvt5+4X7j/uT+5H7jPuI+4j7jfuW+5/7p/us+7H7t/vC+8/73fvs+/n8BfwQ/Br8JPwt/Db8PvxG/E38Vvxf/Gn8dvyE/JX8pfyz/L/8yPzP/NT82fzb/N383/zj/Ov89fz//Qf9C/0M/Q39Ef0Z/ST9Mf09/Un9Vv1l/XX9h/2Z/ar9uv3J/df95f30/gL+Ev4k/jj+Tf5k/nv+kv6q/sH+2P7t/wH/FP8n/zz/VP9w/43/qf/D/9v/8gAJACEAOgBSAGoAggCbALUA0gDwARABLwFOAW4BjQGtAckB4QHyAf4CCAIRAhcCFAICAeIBvQGpAb4CDgKVA0AD6QRxBMME4gTgBNUE0QTYBOQE5gTZBLgEigRUBB8D8APLA7MDpQOhA6EDowOnA7ADwAPZA/YEEAQiBCoEKwQpBCoEMAQ5BEMEUARfBHUEjwSsBMYE2wTsBPsFDQUiBTQFPQU7BS8FJAUjBTIFTwVsBXsFcgVQBRwE5wS9BKUEnQSdBJ8EngSZBJYEmQSjBLMEwwTPBNEExQSqBIMEVQQmA/wD2wPBA6kDjgNrA0EDFALoAsECoQKHAnICYQJWAlACTwJMAkUCNAIZAfkB2AG8AaYBlAGCAWsBTwEvARAA9ADfANEAywDLANMA4gD4ARQBMgFQAWsBfgGJAYwBiQGEAYIBhgGQAZwBpwGsAawBqQGoAa0BuAHJAdsB7gICAhcCLQJFAl8CfQKmAuADKwOCA9kEIARNBF8EXwRZBFgEXgRnBG0EbgRxBIIErATwBUQFlQXQBewF6wXZBcYFvAXBBdEF6AYBBhkGLgY/BkkGSAY6BiMGCgXzBeQF2gXUBdAF0gXiBgcGPwaABroG3QbjBtYGxwbIBt8HCQc2B1cHZgdnB2QHZQdwB38HjgebB6UHsgfEB9gH6Qf0B/oH/ggFCBMIJgg7CE0IWwhnCHQIhAiYCKwIvwjPCN4I6wj4CQYJFQkmCTgJSwleCW4JfAmICZUJpQm3CccJ1QnfCeUJ7An1CgEKDgodCisKOgpKClsKbAp5CoUKjwqYCqEKqQqtCq4KrQqvCrcKwwrQCtoK3wrfCt0K2wraCtoK2ArTCs0KxwrBCrwKtgqsCqAKkwqKCoQKfwp6CnMKawpkCnwKgAqGCokKiAqDCn0KeAp1CnIKbApiClUKSAo/CjwKPQo/Cj8KOwo1Ci8KLQotCi0KLQoqCicKJgomCigKLAoyCjwKSgpcCm8KfgqHCo0KlgqrCs8LAAsyC1oLcQt3C3ULdQt/C5YLtgvZC/0MIQxCDF8MdwyHDJMMngyuDMUM4Qz9DRQNJQ0wDTsNSA1ZDWsNfQ2PDaANsg3EDdIN3Q3mDe8N/w4UDioOPQ5IDkwOTQ5UDmIOdg6KDpoOow6qDrUOwg7PDtIOyA6wDpUOhQ6MDqgOzg7oDuQOuw51DigN7g3bDfQOLA5xDq4O1g7nDuYO3Q7QDsIOtg6uDq8OvA7XDvgPFw8uDz0PRw9XD3EPlA+8D+EQARAcEDkQWhB/EKMQwxDfEPkRFxE7EWERhxGpEccR4xH/EhkSLxJAElIScBKkEvATRRONE7ATohNrEyQS5xLIEsoS5RMKEy0TRhNSE0wTMhMCEsISfxJKEiwSJhItEjISKhIWEf8R7xHtEfIR8RHeEbQRfhFOETkRSRF6EbcR5hHyEdERixE0EOUQshCgEKkQvhDRENcQ0hDGELgQrBCfEJEQgBBvEF4QTxBAEC0QFA/3D9kPvw+sD54PkA96D1oPMg8GDt4Ovw6sDqMOoA6cDpUOhQ5wDlYOPg4oDhgOCg3+DfEN5Q3bDdUN0w3RDc0NxA25Da8NqQ2mDaUNpA2iDaENoA2fDZsNkQ2CDXINZw1jDWUNZQ1eDU8NQA1CDWINpQ4ADmEOtQ7wDxMPKA87D08PZA9zD3UPZw9MDygO/g7SDqMOdA5HDh0N+Q3XDbUNjw1jDTMNAQzNDJUMWgwaC9cLlgtcCykK/ArPCqAKcApAChgJ+AnhCcwJtQmXCXMJTAkjCPoI0QimCHsIUwgwCBMH+AfcB7kHkAdiBzcHEAbvBtEGsQaOBmkGRQYmBgwF8wXZBbkFkwVsBUYFJAUEBOQEwwSfBHoEVQQxBA0D6gPGA6EDfANYAzUDEwLxAtACrwKOAmwCSQIlAgIB4AHAAaEBggFhAUABHQD7ANoAugCZAHYAUgAuAAv/6f/I/6f/hv9k/0T/Jf8H/un+yf6m/oL+Xv47/hr9+/3c/b39n/2A/WD9QP0e/Pz82fy3/Jb8d/xY/Dj8GPv5+9v7v/uj+4f7aPtI+yf7CPrr+tD6t/qc+n/6YPo/+h35/Pne+cH5pfmJ+W75U/k4+R35Avjo+M/4ufim+Jf4jPiA+HL4YfhN+Dn4JvgU+AT38/fh98/3wfe497X3tPev96T3k/eA9273X/dV90v3P/cy9yT3F/cM9wD28/bj9tX2yfbA9rr2tPar9qD2lfaQ9pP2nfas9rv2x/bR9tn24fbo9u/29fb89wX3D/cY9x/3I/ck9yX3K/cz9z73R/dM91D3Vfdc92T3a/dv92/3b/dz9333iveW9533ofej96n3sve998b3zPfQ99f34vfw9/z4APf99/r3//gR+C74Svhc+F/4WPhQ+FD4W/hs+Hz4hviM+JP4n/iw+MD4y/jN+Mv4y/jQ+Nr44fje+Mv4rfiJ+Gj4UfhE+ET4TPhb+G34fviJ+Iz4ifiC+H34fPh7+Hj4b/hh+FX4UPhY+Gn4fviO+JX4kviK+IH4evh2+HL4bfhn+GD4WvhX+Fb4WPhb+F/4Yvhn+G34efiK+J74r/i1+K74nviU+KX42vkw+Y750vnh+bP5XPj/+L/4r/jG+Oz5BvkF+O34zPiu+Jf4g/ht+Fn4VPhr+KD46Pkq+VL5V/lB+SX5EvkR+Rv5KPk0+UH5V/l4+Z75ufm/+av5hflc+T75Mvkx+TL5LPkb+QT46vjS+L34qfiU+Hr4V/gm9+f3nPdM9wL2xfaZ9nr2YvZM9jf2JPYW9g72CPYB9ff16/Xg9dr11/XW9dT1z/XG9bz1sfWn9Zv1jfWA9Xb1cfVv9W/1bvVq9WX1YfVh9WP1ZfVl9WP1YPVf9WH1ZvVs9XH1c/V29Xv1hPWQ9Z31qPWx9br1xPXR9eH18fX/9gr2EvYa9iH2J/Yr9i72L/Yw9jP2OPY+9kL2RPZE9kb2TPZW9mL2bvZ49n/2g/aI9o/2l/ag9qj2r/a39r/2x/bQ9tn24vbs9vf3BPcS9yL3Mfc/90v3Vfdd92P3avdw93b3fPeB94P3g/d/93n3cfdn91j3R/c09yX3IPco9z73YPeH96z3yvfe9+j36/fr9+r37Pfw9/b3/fgE+An4DfgR+Bb4Hfgo+DP4PvhH+E/4Vvhc+GP4a/hy+Hr4gfiG+Iv4j/iT+Jb4mvie+KT4rPi2+MP40fjh+PH4/fkD+QL4+vjt+N740PjF+MD4v/jD+Mn40PjU+NT4zfjA+K34lfh8+GT4T/g8+C34I/ge+CD4J/gz+EP4V/hs+IH4k/ih+Kz4svi2+Lv4wfjJ+NT44Pju+P35DPkb+Sn5N/lD+VD5Xvlu+X/5kfmg+a75u/nI+df56Pn8+hD6JPo2+kX6VPpk+nX6h/qa+qz6vfrM+tn65vr0+wP7Evsh+y77OPtC+0v7Vvth+237d/t/+4b7jPuS+5r7ovuq+7P7u/vE+8z70vvU+9L7zvvJ+8b7xvvI+8r7yfvF+8D7u/u4+7b7s/uv+6n7ovuc+5b7kvuN+4f7gPt5+3P7cPtu+237a/to+2T7Yftf+177Xftc+1r7WPtV+1L7T/tO+1H7WPti+277ePt9+377fPt7+3z7gfuI+4/7lvud+6T7q/u0+737xvvQ+9v76fv4/An8GPwl/C/8N/w//Eb8TfxV/F78avx5/Ir8m/yr/Lr8xfzO/NT81vzW/NT80/zV/Nv85vzy/Pv9AP0C/QP9Bv0N/Rf9I/0u/Tr9Rv1V/Wf9ev2N/Z39q/23/cT90/3j/fb+Cv4e/jP+R/5a/m7+gf6V/qn+vP7P/uH+8/8F/xv/NP9R/3D/jf+n/77/1f/tAAYAIQA8AFYAbwCIAKQAwgDiAQMBIgFAAV0BfAGbAbgB0QHjAfAB+wIFAg4CDwIBAeEBuQGcAaEB2wJNAuYDiQQYBHwErwS8BLUEqgSjBKIEoQSbBIoEbgRGBBkD6gPBA6MDkwOPA5IDmQOiA68DwwPeBAAEIAQ7BE0EVwRdBGMEaQRwBHUEewSEBJIEpwS+BNUE6AT2BQMFEQUfBSkFKgUgBRAFAgUBBRIFLwVMBVsFUgUwBQAE0AStBJwEmQSeBKIEoQSdBJsEnwSrBLoEyATMBMEEpgR9BEsEFwPmA7wDmQN6A1oDNgMMAt4CrgKCAloCOgIhAhACCAIKAhQCIAInAiICCwHjAa8BdgFAARMA7gDPALIAlAB2AFkAQwA1ADMAOwBKAF4AdQCOAKgAxADfAPcBCgEVARgBGQEbASUBOAFQAWoBfQGGAYYBgQF+AX8BhwGUAaIBrwG7AcgB2AHqAgICJQJYAqAC/gNqA9UELQRmBHwEewRzBHIEfgSSBKQErASuBLMEyQT4BTwFhwXFBegF7QXdBcgFvAW9Bc0F5AX9BhYGLgZEBlQGWQZSBkAGKAYSBgQF+wX3BfQF9QX/BhkGQQZxBpoGsQa2BrQGugbVBwUHPQdrB4QHhgd7B3AHcAd7B4kHlAebB6AHqwe/B9kH8ggDCAwIEQgWCCIIMwhECFQIYAhsCHoIjAigCLIIwgjPCNsI6Aj4CQoJHAkuCT8JTwldCWsJdwmDCZEJoQm0CcYJ1QngCeYJ7An0Cf8KDgoeCi4KPApKClYKYgptCnYKfgqFCo0KlAqaCp0KoQqnCrEKvArICs8K0wrTCtQK2ArfCuYK6ArmCt4K1QrNCsgKxAq+CrMKpgqZCo4KhwqCCn4Kewp6CpAKkQqTCpQKkwqQCo0KiwqJCoUKfQpxCmMKWApTClMKVgpVCk4KQgo2Ci8KMAo0CjkKOQo2CjEKMgo4CkQKTwpZCl8KZAprCnMKegp9Cn4KgwqTCrQK4gsTCzoLTgtQC0oLSQtZC3sLqgvcDAoMLwxLDF8Mbwx9DIkMmAyqDL8M1gzsDP4NDA0YDSUNNA1EDVMNYg1xDYENkw2mDbcNxQ3RDd4N7g4DDhgOKQ40DjoOQA5MDl4OdQ6LDp4OrQ68Ds0O3w7rDusO3Q7FDrAOqQ61Ds0O4w7iDsEOgw44DfoN3g3qDhgOVQ6MDq8Oug61DqoOoA6ZDpQOjw6PDpcOqw7LDvAPDw8lDzMPPw9RD24Pkw+4D9oP9RAPECwQThB0EJYQtBDOEOoRDRE2EWERiBGoEcMR3RH8EhwSORJOEl0ScBKREsMS/xMzE0oTPRMUEuQSwhK9EtgTCRNGE4MTuhPjE/IT3ROgE0MS2RJ7EjoSGRIPEgoSARHzEewR9BILEiYSLxIXEd0RkRFPETERQRF4EbwR7hH4EdMRihEzEOkQvBCvELkQyRDREMwQuhCkEJAQgRB1EGsQXRBOED4QMBAjEBYQBw/0D98Pyg+1D58PhQ9kDz0PEQ7mDsAOpQ6WDpIOlQ6ZDpgOjg56Dl8OQg4nDg8N/A3qDdoNyw3ADbsNuw29Db4Nug2yDaoNog2eDZoNlw2TDZENkg2WDZgNlg2MDX4NcQ1qDWoNbQ1rDWMNWQ1XDWcNjg3KDg4OTw6JDr0O8Q8pD2IPkQ+sD6wPkg9oDzYPAw7SDqIOcA49Dg0N4w3BDaMNiA1tDU8NLQ0GDNYMmgxTDAYLvAt8C0cLGgruCrkKfQo8CgEJ0gmxCZoJhQltCVEJMgkUCPYI1givCIIIUwgmCAEH5AfLB68HjAdiBzYHDQbpBsoGqgaIBmIGPQYdBgIF6gXRBbMFjgVnBUAFHgT/BOAEvwSaBHMESwQmBAQD4wPCA6ADfQNaAzkDGAL4AtgCtgKTAnACTQIrAgoB6gHKAaoBigFrAUsBLAENAO4AzQCrAIcAYgA9ABj/9f/S/7D/j/9v/1H/M/8V/vX+0f6r/oT+X/4+/iH+B/3s/c/9sP2P/W39S/0p/Qf85vzF/KX8hvxo/En8KvwL++37z/uy+5b7ePtZ+zn7G/r/+uX6zPqy+pT6c/pP+iv6Cfnr+dD5tfmY+Xv5XvlB+Sb5DPjy+Nn4wvit+Jz4jfh/+G/4XvhL+Dj4KPgZ+An39vfg98v3u/e097P3tPex96b3k/d+92v3XfdT90r3QPcy9yP3FfcJ9v328fbj9tX2yPa+9rb2rvak9pn2j/aJ9ov2lPah9q/2vPbI9tH21/bc9t/24/bp9vP2//cL9xP3FvcV9xT3Fvcc9yX3LPcy9zb3O/dC90r3UfdV91b3VvdZ92D3a/d093v3gPeE94r3lPed96T3qPet97X3xPfW9+T36ffm9+P35vf3+BL4LvhB+EX4P/g5+Dz4Svhd+G/4e/iD+Ir4lfil+LP4u/i6+LX4svi2+MH4zPjN+MH4p/iE+GL4Rfg0+DD4OPhI+F34b/h5+Hr4c/hs+Gn4bPhw+G/4ZfhT+EL4Ovg/+E/4YPhq+Gj4XfhQ+Ej4SfhQ+Fj4XPha+FT4T/hL+En4R/hE+D74OPg0+Df4Q/hV+Gr4evh++Hf4bPhr+Ib4wvkW+Wn5nfmb+WX5EfjD+Jf4l/iy+ND41/jC+Jr4cvhW+EX4N/gk+BL4Dfgl+Fz4pvjp+Q/5EPj3+Nf4xPjD+M743Pjl+O34/fkY+Tz5W/lq+WL5R/kl+Qb48Pji+Nb4xvix+Jr4gvhs+Ff4Qvgs+BL37/fA94H3NPbh9pX2WfYx9hr2DPX99ev12PXI9bz1tPWs9aH1lPWH9X71e/V79Xv1ePVx9Wj1X/VV9Ur1PvUy9Sn1JfUk9Sb1J/Ul9SH1HfUb9Rv1G/Ua9Rb1EvUS9Rf1IPUr9TP1OPU69Tz1QvVK9VL1WvVf9WX1bPV59Yr1nPWu9bv1xvXO9dX13PXi9ej17fXx9fb1+/YA9gT2B/YI9gr2D/YX9iL2LvY49kH2SfZQ9ln2YvZq9nL2efaA9of2kPaa9qX2r/a59sT2z/bb9un29/cG9xX3Ifcq9zD3M/c29zv3QvdL91X3Xvdm92z3cPdw92n3W/dH9y73GfcN9w/3Hvc591j3ePeU96r3u/fI99P33Pfj9+j36vfq9+n36ffr9/H3+vgG+BL4Hfgn+C/4Nvg9+ET4S/hR+Ff4Xfhk+Gz4dPh7+IL4h/iN+JT4nPik+K34t/jA+Mr41Pje+Ob47Pjw+PH47/jr+Ob43/jY+NH4zPjI+Mb4xPjB+Lz4tPin+Jb4gvhr+FP4O/gl+BP4B/gC+AX4EPgi+Dn4Ufho+H34j/if+K34u/jH+NP43vjr+Pn5Cvkc+S75PvlM+Vf5Yflr+XX5gvmP+Zz5qvm6+cv53/n0+gn6Hfou+j36S/pZ+mn6e/qO+qD6svrC+tD63vrs+vv7DPsc+yr7NvtA+0v7Vfth+2v7dPt7+3/7hPuJ+5D7l/uf+6f7r/u3+7/7xfvH+8X7v/u5+7X7tPu2+7n7uvu4+7T7r/us+6n7p/uk+5/7mvuV+5H7jfuI+4L7fPt1+3L7cPtx+3L7cvtv+2r7Zftg+1z7WvtY+1X7UvtO+0n7RftE+0b7TPtU+137Zftr+237bvtv+3D7c/t4+3/7h/uR+5v7pfuu+7T7ufu/+8r72Pvq+/38Dfwa/CP8K/wy/Dr8QvxK/FL8XPxo/Hb8iPya/Kz8u/zH/M780PzN/Mj8xPzF/Mv81/zk/O/89vz3/Pf8+fz+/Qj9E/0f/Sv9OP1H/Vr9bf1//ZD9nf2p/bX9xP3V/ej9/P4R/ib+Of5M/l3+bf59/o7+n/6x/sL+1P7n/v3/GP83/1b/c/+N/6X/u//V//IAEgAxAE8AaQCBAJsAtwDVAPQBEgEvAUsBaAGHAaUBvwHSAeEB7AH3AgECBQH9AeUBwAGfAZUBtAIEAn8DEAOgBBcEaQSTBJwEjgR0BFsESARABD0EOgQvBBcD8QPGA58DhgN9A4IDjwOgA7QDzAPrBA8ENQRXBHIEhASQBJcEnQSfBKAEoQSkBK0EugTMBN4E7QT6BQQFDgUXBRsFFwUMBPwE7wTsBPQFAwUQBREFAATgBLkElQR+BHUEdgR7BH8EfwR9BH0EgASGBIwEjQSDBGwESQQcA+oDtwOIA10DNQMOAuUCugKPAmUCQAIhAggB9AHmAeAB4gHuAgMCHAIxAjgCKwIGAcsBhAE7APwAzQCxAKYApgCsALYAxADXAO0BAwEUARwBGQEOAQEA9wDzAPUA+QD8AP8BBQEUATABWAGEAaoBwAHBAbEBlwF9AWoBXwFbAVsBXAFcAV0BYgFrAX0BnQHPAhoCfwL1A28D2gQnBFIEYgRlBGwEfgSZBLYEygTVBN4E8gUZBVQFlgXPBfIF+wXwBeAF1wXbBeoF/wYUBiYGNQZCBk0GUAZJBjkGJQYTBgkGBwYKBg0GEQYYBiYGOgZSBmYGcwZ7BooGqQbdBx0HWweGB5YHjweBB3gHfAeKB5kHoQeiB6IHqQe8B9gH9AgKCBkIIggsCDcIRAhQCFoIYwhwCIEIlgirCLwIxwjNCNUI4AjwCQIJFQkmCTQJQglQCV0JaAl0CYEJjwmgCbEJvwnJCdAJ1wniCfEKBAoYCikKNwpBCkoKUwpbCmMKaQpuCnIKdwp9CoQKjgqZCqcKtArACscKywrOCtMK3grrCvgK/gr7CvEK5ArZCtMKzwrMCsUKugqtCqIKmgqWCpQKkgqRCp0KlwqUCpIKkgqTCpQKlQqTCo4KhAp2CmkKYApeCmAKYQpdClAKQQo1CjIKOQpECkwKTgpKCkkKUAphCnYKhwqOCogKfApzCnAKdQp8CoQKjQqdCrYK2Qr/Cx0LLQsvCy4LNQtOC3kLrAvbC/4MEgwcDCMMLQw9DFIMaQyADJQMpQy1DMQM1QznDP4NFQ0sDT8NTw1dDWwNfg2SDacNug3KDdgN5g32DgYOFw4mDjMOQA5NDl0ObA58DosOmw6sDr8Ozw7XDtQOyQ69DrgOwQ7TDuUO5g7KDpMOTA4KDeQN5A4HDj0OcQ6UDp4OlQ6FDncOcQ5xDnMOdg57DocOng6+DuAO/Q8SDyAPLw9FD2MPhg+oD8YP4A/6EBkQPhBiEIMQnxC5ENgRABEvEV4RhhGjEboR0xHzEhkSPhJZEmoSdxKHEqESwhLeEuoS4hLMErQSqBKwEskS8RMkE2ATohPhFA0UEhPnE5ATIhK3EmQSLxIREf4R7hHkEeoSBhIzElwSahJLEgERohFOER4RHxFFEXkRnxGkEYYRTxEUEOUQzhDLENMQ2BDRELwQnRB+EGQQUxBHED0QMRAlEBkQEBAKEAcQAQ/4D+gP0A+zD48PZw89DxIO6g7HDqwOmw6TDpMOlw6bDpoOkQ5+DmUOSQ4vDhgOAw3tDdYNvw2uDaYNpg2rDbANrw2oDZ8Nlw2TDZINkg2SDZENkQ2UDZgNmg2WDY0Ngg16DXcNeA14DXQNbQ1oDW0NgA2gDcoN+A4qDmIOow7tDzcPdA+WD5YPeA9GDw4O2Q6pDn0OUQ4kDfkN0A2tDYwNbQ1ODS4NCgziDK4MbgwhC9ALiAtTCzMLIwsTCvUKwQp7Ci4J5wmtCYAJXAk7CRsI/gjnCNUIxAirCIgIWggoB/sH1we7B6EHggddBzIHCAbhBsAGoAaABlwGOAYWBfoF4QXJBa0FjAVnBUIFHgT+BN4EuwSWBG8ERwQiBAAD3wO/A58DfwNgA0MDJQMHAuUCwgKdAnkCVwI2AhUB9QHTAbEBjwFvAVEBMwEWAPcA1wC0AJAAawBFACD//P/Y/7X/lP91/1j/O/8e/v3+2P6v/of+Yv5D/in+Ev37/eD9wv2f/Xz9WP02/RX89fzV/LX8lvx4/Fr8PPwd+/773vu/+6D7gvtj+0X7KPsM+vL62fq++qD6fvpa+jf6Ffn4+dz5wvmm+Yj5aflL+S/5FPj7+OP4zPi3+KT4kviA+G34WvhH+Df4Kfgc+Az39/fe98b3tPes96z3rves96H3jvd592b3WPdP90b3O/ct9x73EPcD9vj27Pbe9tD2wva49rD2qPaf9pT2i/aG9ob2jfaY9qX2sfa89sT2yvbN9s/20fbX9uD27Pb49wH3BPcC9wD3AfcF9wz3EvcX9xr3Hfci9yj3L/c19zj3O/c/90b3TvdV91n3Xfdh92j3cfd593/3gveI95P3pfe598n3zvfL98X3x/fW9/D4DPgf+Cb4Jfgk+Cv4O/hQ+GP4cPh3+H74ifiY+KX4q/ip+KH4nPie+Kn4tvi9+Lb4oviB+Fz4Ofgg+BP4Ffgj+Df4S/hX+Fr4VfhR+FD4Vfha+Fj4Tfg6+Cn4IPgk+C/4Ovg8+DP4Jfga+Bn4Ivgx+D34QvhA+Dv4Nvgz+DD4LPgl+Bz4FvgU+Bf4Hvgm+Cz4L/gt+Cr4LPg7+F34lPjV+RD5MPkq+QH4yfiX+H/4gviR+Jn4i/hp+ED4HvgL+AH39ffh98r3wPfU+An4UfiV+Lz4wPip+Iz4evh7+If4k/iX+Jb4mPil+L342Pjt+PH45PjM+K/4k/h6+GL4Tfg5+Cf4F/gG9/L32ve+9533d/dH9wr2wvZ09iz19fXR9b31sfWl9Zb1hfV29Wz1ZPVb9U71QPUz9Sv1KfUq9Sr1JfUc9RD1BvT99Pf08PTo9OH03fTb9N304PTh9OD03vTc9Nr01/TT9M70yvTK9M/02vTm9PH09/T59Pv0/vUE9Qv1EfUW9Rv1IvUt9T31T/Vh9W/1efWA9Yf1jfWV9Z31pvWt9bX1vPXB9cb1yfXL9c/11PXc9eb18fX79gX2DvYY9iH2KfYx9jj2P/ZG9k72V/Zh9mz2d/aD9o72mfaj9q72uvbI9tf25fby9vv3AfcG9wv3Evca9yP3Lfc390H3TfdY92D3YPdY90f3Mfcc9wz3BvcL9xn3LvdG92D3eveR96X3tffB98j3y/fM98z3zffR99f34Pfr9/X3//gI+BH4Gvgi+Cn4L/gy+DX4Ofg/+Ej4Uvhd+Gj4cvh8+Ib4j/iX+J34ofik+Kb4qviy+L34yvjZ+Oj49Pj8+QD4/fj2+Oz44fjZ+NT41PjX+Nr42/jY+M/4wPit+Jf4fvhk+Ej4LvgY+Af3//gA+An4F/gp+D74Vfhu+If4n/i0+MX40vjf+Ov4+/kN+SD5M/lE+VL5Xvlp+XX5gPmN+Zr5qPm3+cj52/nu+gH6FPom+jb6RPpT+mL6cvqC+pP6o/qy+sH6z/rf+u/6//sP+x77Kvs1+0D7S/tX+2L7bPtz+3n7fvuE+4r7kPuW+5z7ofun+637svu0+7L7rPul+6D7nfuf+6L7pPul+6P7n/uc+5n7l/uU+5H7jvuL+4j7hfuB+3z7dftv+2z7a/tt+3D7cftw+2z7Z/ti+177W/tY+1T7UPtL+0b7QvtB+0P7SPtO+1T7Wvte+2L7ZPtm+2f7aPtr+3D7ePuE+5D7nPuk+6r7sPu4+8T71fvo+/r8CPwR/Bn8Ifwq/DX8P/xH/E38U/xa/Gb8dfyI/Jv8rfy7/MT8x/zF/MH8vfy9/MP8zfzY/OD85fzl/OT85vzr/PX9Av0Q/R/9L/1A/VL9Zf13/Yf9lf2i/a/9vP3K/dn96v38/hH+Jv45/kv+W/5p/nj+iP6a/qz+v/7S/uj/Af8e/z3/Wv91/4z/pP/A/+AABAAoAEgAZAB8AJQArgDKAOgBBAEeATgBUwFwAY4BqQG/Ac8B3AHoAfQB+wH6AesB0AGzAaEBqgHWAiYClAMRA4wD9QRBBGYEaARNBCcEBgP3A/wEDQQbBBYD+wPPA6ADfANsA3IDiAOlA8YD6QQPBDgEYQSFBKEEswS9BMIExQTHBMkEygTNBNEE2ATfBOcE7gT0BPkE/QT/BP0E9QTpBNkEzATDBL4EuQSwBKAEhgRpBE0ENgQoBCAEHQQcBBsEGwQbBBwEHAQYBA8EAAPrA88DrgOIA14DMgMGAtkCrAKAAlUCLgIOAfcB6gHoAe4B+gIJAhgCKgI/AlkCdwKUAqkCrQKaAmwCKQHgAZ4BdAFpAX0BqwHoAiwCcQKwAuUDCAMSAv0CzQKJAkAB/gHOAa8BngGVAZMBmgGvAdQCBwI+AmoCgQJ8AlwCKgHxAbkBiAFgAUABKAEXAQ0BCwESASIBQAFxAboCGgKOAwgDeQPSBA4ELwRBBE8EZQSDBKYExgTiBPwFGwVFBXoFsQXgBfsGAwX8BfQF8wX/BhMGKQY6BkMGRgZFBkEGPAYyBiMGFAYIBgQGCAYRBhwGJQYrBjAGNQY6Bj4GQwZOBmcGkwbPBxEHTAdyB4IHgweAB4UHlAenB7YHvAe5B7YHugfHB9wH8ggHCBcIJwg2CEYIUwhbCGEIZwhyCIUInAixCMEIyQjNCNII2gjnCPYJAwkOCRkJJgk1CUUJVAlhCW0JegmHCZYJowmtCbUJvgnKCd0J8goIChkKJgovCjYKPgpGCk0KUwpXClkKXQpjCm0KeQqGCpQKogqsCrMKuQrBCswK3ArvCv8LCAsHCv0K7wrjCtsK1wrTCs0KxAq5CrEKrQqrCqoKqAqjCqcKogqgCqEKpAqlCqQKngqVCocKdwpnClsKWApbCmMKaQpoCmAKVwpSClYKYQpsCnEKbgpnCmYKcgqLCqcKuAq2CqIKhQpuCmcKcQqFCpoKqgq4CscK2wrxCwULEgsaCyILMgtQC3YLnAu3C8ELvgu2C7QLvgvVC/QMEwwvDEQMVQxlDHcMjQypDMkM6g0JDSINNQ1FDVQNZQ17DZMNqg2+Dc4N2w3oDfgODQ4jDjkOSw5ZDmEOaA5vDnkOhg6TDp4OoQ6cDpMOjQ6RDqMOvQ7VDt0OyQ6ZDlUOEw3mDdoN8g4hDlUOfA6MDoYOcw5fDlMOUA5UDloOYQ5oDnYOjA6oDsYO4Q73DwoPHw85D1kPeg+YD7MPzA/oEAgQLRBQEG8QiRCjEMQQ7xEfEU8RdRGREagRwRHiEgoSMxJWEm0SfRKMEp0SrxK+EsQSvxK2EqwSpxKnEqkSrRK7EtgTChNKE4QTohOWE2ATDRK2EmwSNhIREfQR4BHZEesSFRJOEn0ShxJgEgwRohFBEQAQ6RDzEQsRHhEgERMQ/hDrEOIQ4hDmEOcQ3hDIEKgQhRBkEEoQNxApEB0QEhAIEAIP/g//EAAP/Q/0D+EPww+dD3EPQg8UDu0Ozg64DqoOpA6iDqQOpg6lDp8Okg59DmUOTg45DicOFA39DeENwg2nDZcNkw2XDZwNnQ2XDY4Nhw2HDYwNlA2ZDZsNmw2aDZsNnQ2dDZkNkw2MDYcNhA2CDX8NeQ11DXYNgA2UDbEN1A39DiwOZA6hDt0PDQ8mDyMPCA7eDrAOhw5jDkMOJA4DDeANuw2WDW4NRA0XDOkMuwyJDFAMCQu1C14LEwrjCtQK3grvCvEK1gqcCk4J/gm3CX8JUAkkCPkI0AiwCJwIkAiGCHMIUggoB/kH0AeuB5AHcwdQBycG/QbVBrMGlQZ4BlkGOAYWBfYF2QW/BaQFhQVjBT8FGwT4BNYEtASRBG4ESgQmBAMD4QPAA58DgQNlA0oDLwMRAvACzQKoAoUCYwJDAiIB/wHcAbkBlwF3AVkBPAEeAP4A3AC4AJMAbQBIACQAAP/d/7z/nf9//2P/Rv8p/wj+5P6+/pj+dP5W/jz+Jf4N/fL90/2v/Yv9Z/1G/Sb9B/zn/Mf8qPyJ/Gv8Tfwv/A777PvK+6r7jPtv+1L7Nvsa+v364frE+qX6hPpi+kD6H/oB+eb5y/mv+ZL5c/lU+TX5Gfj/+Of40vi/+K34m/iH+HL4XfhL+Dz4MPgj+BL3+/ff98X3sfeo96b3p/ek95n3h/dz92L3VfdM90L3N/co9xn3C/b+9vP25vbY9sr2vva19q32pvae9pP2ivaF9oT2ivaT9p32pvau9rT2ufa89r32v/bE9sz21vbh9ur27vbu9u727/bz9vn3APcE9wf3CfcL9w/3FPcZ9x33Ivco9y73NPc49zr3PfdB90n3UvdZ91/3Y/dp93b3iPec96v3sPer96X3pvez98v35vf8+An4D/gU+B/4MPhD+FP4XPhh+Gf4c/iC+JD4mPiY+JL4jfiO+Jf4pPis+Kr4mvh9+Fj4MfgP9/r38/f7+Az4IPgv+Db4N/g2+Df4PPg++Dr4Lvgc+Az4BvgJ+BL4GPgW+Az4APf69/74CvgY+CD4Ifgd+Bj4FfgR+Av4Aff39/D38ff4+AD4Avf59+r33PfY9+H3+PgY+Dv4XPh4+Iv4lPiR+IT4c/hl+F74Xfha+Ez4MfgN9+v30/fH97/3sveb94T3eveL97n3+Pgz+FX4WfhH+DL4KPgt+Dr4RfhF+Dz4Mvgw+Dn4SfhZ+GH4XPhM+DX4GvgA9+j31PfF97v3svel95D3cvdM9yH28fa89oD2PfX69b31j/Vx9V/1U/VG9Tf1KfUd9RX1EPUI9Pz07/Tk9N/04PTj9OL02fTK9Ln0q/Sk9KH0n/Sd9Jj0k/SQ9JH0lfSa9J30nvSe9Jz0mfSU9I/0ivSJ9I30lfSg9Kn0sPS09Lb0uvS/9Mf0zvTU9Nn04PTp9Pb1BfUV9SL1LPUz9Tj1PvVF9U71WPVj9W71ePV/9YX1ivWO9ZT1m/Wj9az1tfW+9cf10fXa9eP17PX09fz2BPYN9hb2H/Yo9jH2PPZH9lT2YPZr9nb2gfaN9pv2qfa39sT2zvbX9t/25/bv9vf2/vcF9w/3G/cq9zr3RvdM90n3Pvcu9x33DvcE9wL3B/cS9yL3NfdI91v3a/d694f3k/ee96n3s/e898T3zPfT99v34/fs9/X3//gI+BD4FfgZ+Bz4H/gk+Cz4N/hC+E74Wfhj+G74ePiB+Ij4jviR+JT4l/id+KT4rvi7+Mn42Pjn+PT4/fkB+QD4/Pj3+PX49fj4+Pz4/vj7+Pb47fjj+Nf4y/i6+Kb4jvh0+Fv4Rvg1+Cn4I/gh+CX4L/hA+Fj4cviM+KL4s/jB+Mz42fjn+Pn5Dfkh+Tb5S/lg+XT5h/mY+af5tfnC+c/53fns+fv6DPoe+i/6P/pP+l76bPp5+oj6l/qm+rX6xPrS+uH68Pr++wv7Fvsg+yr7NftB+077Wvtk+2z7dPt8+4P7ifuO+5H7k/uW+5n7nfuf+577mvuU+477ivuK+4z7jvuQ+5D7jfuK+4f7hPuB+3/7fPt6+3j7d/t0+2/7avtk+2D7Xvte+2D7Yvti+2L7X/td+1r7V/tU+1D7S/tG+0L7QPs/+0H7RftI+0z7UPtU+1n7Xftf+2H7Yfti+2X7a/t1+4D7ivuT+5r7ovut+7370Pvj+/L7/fwG/A/8Gvwp/Dj8RfxO/FP8Vvxa/GP8b/yA/JD8oPyt/Lb8vPy9/L38u/y7/L38wfzF/Mf8x/zH/Mj8zPzV/OL88v0E/Rf9K/0//VP9Zv14/Yj9mP2m/bP9vv3I/dH93f3t/gD+F/4s/j/+Tv5c/mr+e/6O/qH+s/7E/tb+6/8E/yD/Pf9Z/3P/jf+q/8v/8AAVADcAVQBvAIgAowC/ANwA9gEPASYBPgFZAXUBkQGpAb0BzgHdAesB9AH2Ae4B3AHHAbYBsQHAAeUCIwJ5AuIDUgO7BAoENAQ3BB8D/gPoA+gD+QQNBBID/gPTA58DdANeA2IDfQOlA9QEBQQ3BGgElQS5BNEE3gTiBOIE5ATpBPEE+gUBBQQFBAUABPoE8wTrBOME2wTQBMMEsgSgBI8EfwRxBGQEUwQ9BCMEBgPrA9MDwAOwA6ADkQOFA38DfgOCA4UDggN1A2ADRQMqAw8C9QLaAroClQJrAkECGQH3Ad0BzAHGAcwB4AIBAi4CYQKVAsQC6QMFAxoDLQNCA1YDYwNgA0cDGALdAqYChgKJArMC/gNeA8cELwSNBNgFBQUMBOgEnQQ3A8sDagMhAvEC1gLHAsECwgLRAvEDIQNZA4wDrQOzA5oDZQMaAsMCaQIUAc0BmAF4AWsBbQF7AZQBtwHoAioCfQLdA0EDngPrBCAEPwRPBFcEYgRzBI0ErATRBPoFJwVZBYwFugXdBe8F8gXsBegF7AX8BhQGKwY7BkEGPQY1BisGIQYYBg4GBAX9BfwGAQYLBhgGIwYsBjAGMQYwBjAGNAZBBl0Ghga6BvEHIgdHB2IHdgeLB6QHvgfSB94H3wfbB9cH2QfhB+wH+AgDCBAIIQg2CEsIWwhkCGgIbAh2CIYImwivCL0IxQjLCNEI2gjkCOwI8Qj1CPsJBwkYCS0JPwlPCVoJZQlxCX8JiwmWCZ8JqAm1CccJ3QnzCgUKEQoZCiAKJwovCjYKOwo+CkEKRgpOClgKZApxCnwKhwqPCpcKnwqpCrcKyArbCuwK9wr7CvcK8AroCuIK3QrYCtAKxgq9CrgKtgq3CrcKtAquCq4Krwq1Cr0KwgrACrYKpQqOCngKZApWClIKVwpkCnQKggqKCo0KjQqQCpcKoAqjCpwKjQp+CngKggqaCrMKvwq1CpcKcwpaClUKZgqDCqAKswq9CsMKzArbCu0K/wsPCx4LMAtGC10LbgtzC2sLXAtRC1ELYQt9C58LwAvaC/AMAwwYDDEMTgxvDJEMswzSDOwNAQ0SDSANMg1HDWANew2SDaYNtw3JDd8N+g4XDjMOSA5UDloOXg5kDm8OfA6DDn8OcA5aDkoOSA5cDn4Oow65DrIOiw5MDgkN1g3BDdAN+Q4tDloOdA53DmkOUw5ADjUOMw44DkAOSQ5UDmIOdQ6NDqgOwg7cDvcPEw8yD1IPcQ+MD6QPvQ/ZD/kQHBA9EFsQdRCQELIQ2xEIETMRVxFzEY0RqBHLEfISGxI/El0SdhKMEqASsRK8Er0SuBKyEqwSpRKaEoYSaxJUEk4SYBKHErQS1RLZEsASkhJeEjASChHqEc4RuxG6EdISAxI9EmgSbBJBEe0RhxEpEOQQvxCzELUQuxDDEMwQ2hDsEP0RCBEIEPkQ3xC9EJgQdhBZEEAQKxAZEAoP/g/2D/MP8w/0D/MP7A/cD8MPoQ94D0wPIA76DtsOxg66DrYOtg63DrgOtg6wDqMOkQ55DmEOSw47Di8OIQ4MDe8Nyw2qDZINhw2HDYsNiw2HDYANfQ2ADYwNmg2lDaoNqA2lDaMNow2lDaQNoA2ZDZINjQ2IDYQNgA18DXwNhA2VDa0Nyw3rDg0OLg5PDmsOfw6FDn4Oaw5UDj4OLQ4eDg8N/A3lDcgNpg2ADVINHwznDLEMfQxJDBALyQtxCxAKtApxClMKVwprCnoKcApICg0JzwmbCXYJWAk1CQcIzwiZCG8IVwhMCEQINAgWB+8HxQeeB3wHXgc+BxkG8AbJBqYGiQZvBlUGOAYYBfYF1QW2BZgFewVbBTgFFATvBMsEqQSJBGoESwQqBAgD5QPCA6ADggNmA0sDLwMRAvACzgKtAowCbAJMAisCCAHlAcMBowGGAWkBSgEpAQUA3wC4AJEAawBGACMAA//k/8j/rP+Q/3P/VP80/xT+8v7Q/q7+jf5v/lP+OP4d/f/93v26/Zb9c/1T/TX9F/z4/Nj8t/yX/Hn8Wvw7/Br7+PvV+7X7mPt++2X7Svss+wz67PrL+qv6i/pq+kn6KfoK+e750vm3+Zr5e/lb+Tv5HfkB+Or41/jG+LX4o/iP+Hr4ZvhV+Ef4PPgv+B34Bffp98/3uvet96f3oveb94/3f/dv92H3VvdN90L3Nvcn9xf3Cvb99vH24/bV9sf2vPaz9qz2pfab9pD2hfZ+9n32gfaJ9pL2mfag9qX2qfas9q72sPaz9rj2wfbK9tP22vbd9t/24fbl9ur28Pb19vn2/Pb+9wH3A/cF9wf3C/cP9xT3GPcb9x33H/ck9yz3Nvc+90T3SfdP91v3bPd+94z3kfeP94r3i/eW96v3xPfa9+v39/gC+BD4Ifgw+Dv4QfhF+Er4Vvhl+HX4f/iB+H74evh7+IP4jviY+Jv4kvh8+Fv4NPgO9+/33/fd9+j3+fgJ+BT4Gfgd+CL4Jvgm+B74D/f89+335/fr9/T3+/f69/T37vfs9/D3+Pf89/z3+Pf09/L38ffr9973yve597T3vPfO99z32vfF96n3lfeb97738fgi+D74P/gp+A73+/f4+AP4E/gg+CT4HvgO9/b32/e+96X3kveD93X3ZfdU90j3Svdf94T3sffW9+n36Pfc99L30vfd9+339vf19+j32ffN98j3yvfM98z3xfe596r3mPeF93P3ZPdY9073Q/cx9xb28fbC9o32VvYc9eL1qPVz9Uj1KPUU9Qf0+vTq9Nn0yPS99Lj0tfSx9Kj0nvSW9JT0l/Sb9Jr0kPR99Gn0WPRQ9E70UPRQ9E30SPRF9EX0SfRP9FX0WPRZ9Fn0V/RT9FD0TPRK9Ez0UfRZ9GH0afRv9HT0efR/9IX0jPSS9Jj0nvSl9K/0vPTK9Nj04/Tr9PH09fT79QL1DfUZ9Sb1MfU69UH1R/VO9VX1XvVo9XD1ePV/9Yf1j/WY9aL1rPW29cD1y/XW9eD16fXx9fn2AvYN9hv2KvY49kT2T/Zb9mb2c/aA9o32mfak9q72t/bB9sv20/bc9uX27/b89wr3F/ci9yn3K/co9yL3GvcR9wn3A/b/9v/3AfcG9w33Fvck9zb3S/dj93n3jPeb96X3rve29773yPfS99z35ffu9/b3/fgD+An4D/gV+Bz4Jfgu+Df4QPhI+FD4WPhh+Gv4dfh++If4j/iW+Jv4nvij+Kn4tPjD+Nb46Pj4+QP5CfkK+Qn5CfkK+Qr5CvkH+QP5APj++P/5AfkB+P349Pjm+Nb4xPiw+Jv4g/hr+Fb4R/hC+Ej4WPhs+IL4lPij+K74ufjE+NL44/j5+RH5LPlI+WP5fPmT+aX5tvnE+dL53/nt+fv6C/oc+i36PvpM+ln6ZPpw+n76jPqc+qv6uPrE+tD63Prn+vL6/fsH+xH7HPso+zb7Q/tQ+1z7Zvtv+3f7ffuC+4X7h/uJ+4v7jvuQ+5D7jfuH+4H7fPt5+3n7evt7+3v7eft2+3P7bvtq+2f7Y/th+2H7Yfth+2D7XftZ+1T7UPtN+0v7S/tM+037TftN+0v7SftF+0H7Pfs5+zf7Nvs3+zj7Ovs8+z77QvtH+077Vfta+1z7Xftc+137YPtn+2/7d/t++4X7jvua+6n7uvvL+9n75fvw+/78EPwk/Df8RfxP/FX8Wfxg/Gr8dvyE/JD8mvyh/Kf8q/yu/LD8sfyv/K38qvyn/KT8o/yl/Kv8tfzD/NT85/z9/RT9LP1D/Vn9bP1+/Y79nv2t/bv9xv3P/db93v3r/f3+Ef4m/jj+Rv5S/mD+cf6F/pj+qf63/sT+0/7o/wL/IP8//1z/ef+X/7j/2//+AB8APgBbAHgAlQCyAM4A5wD9ARIBKQFDAV8BegGUAawBwQHWAecB8QHzAesB3QHNAb8BtQGxAbQBxgHvAjcCnwMcA5cD+AQvBDoEKAQNA/sD+gQBBAQD9QPSA6MDdwNcA1sDcgOcA9IEDQRIBIAErwTTBOgE8QTyBPEE8gT6BQYFEwUcBR8FGgUOBP0E6ATRBLoEogSJBG0EUQQ3BCIEEwQIA/8D8gPgA8kDsAOWA34DZQNLAzADFgMDAvsC/gMHAw4DCwL6At4CvAKdAoICawJUAjkCFwHzAdMBvQG1AbsBzQHrAhECQwKAAsoDGwNsA7ID5AP+BAMD/QP3A/cD+wP+A/QD2gO0A4wDcwN3A5wD4AQ5BJ0FAQVdBakF3AXsBdQFlgVABOQEkgRWBDEEHgQSBAoEBgQKBB4ERAR5BLME6AUKBRAE9AS2BFwD8wOIAy0C7QLMAscC2AL1AxgDQANuA6ED2gQXBFEEhgSvBMkE0wTPBL4EpwSSBIcEjQSlBM4FBQVABXkFqQXKBdoF3QXXBdIF0gXbBesF/QYMBhIGEgYNBgYGAAX7BfUF7wXoBeIF4AXjBesF9gYABggGDwYVBh0GKwZBBl8GhQavBtoHAwcrB1UHgAesB9QH8ggCCAQH/gf4B/UH+QgACAUICAgLCBEIHwgyCEYIVwhhCGYIaghzCIEIkgiiCK4Itwi/CMkI1AjdCOEI4QjhCOQI8AkDCRgJKwk4CUIJTAlYCWYJdAmACYkJkgmeCbAJxgndCfEJ/woJChAKFQoaCh0KHwohCiQKKwo2CkMKUQpdCmcKcQp6CoQKjQqWCqAKrAq4CsYK0wrdCuMK5wrnCuYK4wrdCtUKywrDCr4KvAq8CroKtgqxCqkKrgq4CsIKxgrACq8KmAqBCm4KYwpiCmsKegqMCp4KrQq3CrwKwArECskKzArHCrcKoAqJCnkKeAqCCo4KjwqACmQKSAo3CjsKUQpvCokKlwqcCp8KqAq6CtIK6wr/CwwLFgsdCyILJAsgCxkLEwsTCx4LNAtPC2oLgQuUC6cLvgvaC/sMHAw7DFcMcQyJDKAMtAzFDNUM5gz7DRMNLw1LDWQNfA2UDa4NzA3qDgQOGA4jDiwONg5GDlkOaA5sDl4OQg4kDhIOGA41Dl4OgA6HDmwONA3wDbYNmQ2dDcAN8Q4iDkQOUg5ODj4OKQ4YDg8ODw4XDiMOMg5CDlIOZQ55DpEOrA7KDuoPCw8rD0kPZQ99D5QPrA/HD+UQBRAkEEIQXhB8EJ0QwxDpEQ8RMRFQEW8RkBG0EdgR+xIcEjoSWBJ2EpASoxKrEqkSoBKYEpESixJ+EmYSRBIgEgUR+xIDEhMSHxIgEhIR/hHpEdYRwxGtEZURgxGBEZYRvxHtEgoSBxHdEZcRSBECENAQtBCpEKkQtBDIEOYRCxEtEUMRRRExEQ0Q4BCzEIwQbBBSEDkQIhALD/gP6g/jD+EP4Q/fD9gPyQ+xD5QPcQ9MDygPBw7rDtcOyw7FDsQOxQ7EDsEOuw6wDqAOiw5xDlgOQg4yDicOHQ4NDfUN1Q20DZgNiA2CDYINgg1/DXwNfA2DDZANoA2tDbMNsg2vDawNrQ2uDa0NqQ2hDZgNkA2LDYgNhA2BDYANhQ2SDaYNvw3WDeoN9w3+DgAN/Q32De4N5w3kDeUN6g3tDeoN3w3LDbANjw1pDTsNBgzNDJUMYgw0DAMLxAtwCwgKmgo6CfkJ2wnVCdYJygmsCYQJYQlQCVEJWAlRCS8I8ginCGEIMQgaCBMIDQf9B94HtQeLB2YHSAcrBwsG6AbCBp0GfwZlBk4GNAYWBfQF0QWvBY8FcgVTBTIFDgTnBMIEngR/BGIERgQnBAcD5APBA58DgQNjA0YDKAMIAucCyAKpAowCbgJPAi4CDAHrAcwBsAGTAXQBUQEqAQEA1wCvAIkAZABBACAABP/q/9P/u/+h/4L/YP88/xn++f7Z/rr+nP59/l7+QP4i/gL94f2+/Zv9e/1c/UD9I/0E/OP8wfyg/ID8YfxC/CH7//vd+777ovuL+3P7Wvs8+xr69/rT+rL6kfpy+lH6MfoR+fT51/m8+aD5gvli+UL5JPkJ+PL43vjM+Lr4p/iT+H74bPhd+FD4Rfg4+Cb4EPf39973yve59633ofeU94b3ePdr92H3WfdQ90T3Nvcm9xf3Cfb89vD24fbS9sP2t/au9qb2nfaR9oT2ePZw9m72cvZ59oL2ivaQ9pb2m/af9qH2ovaj9qf2rfa29sD2yPbO9tL21PbV9tf22vbd9uL25vbr9u/28fby9vL28/b19vn2/Pb+9v/3AvcG9w73GPch9yf3LPcy9zz3S/db92n3cfdy93H3c/d99473o/e498r32vfp9/j4CPgW+CD4Jvgr+DP4P/hN+Fr4Yvhk+GH4X/hg+Gj4c/iA+In4iPh7+GH4PPgT9+730/fI98r31ffj9+/3+fgC+Av4EfgQ+AX38ffa98j3wPfE98/32vfh9+P34/fj9+P34Pfa99H3yvfI98r3y/fC9633kPd593L3gPeY96n3pPeK92z3Yvd/98D4EPhO+F74PPf597P3hvd995H3sPfG98r3vfeo95T3g/d192P3Tfc09xz3DfcM9xj3MfdQ93D3h/eT95L3iveC94L3i/ea96f3rfeo95v3ivd79233YvdW90n3PPcw9yX3G/cP9wD27vbZ9sP2qvaM9mj2PPYK9dX1oPVs9Tv1EPTs9NP0xPS89LX0qfSX9IL0bvRi9Fz0XPRb9Fj0UfRK9Ej0SfRM9Ev0QvQx9B70DvQE9AD0AfQB8//z+/P58/rz/vQD9Aj0DPQN9A30DPQK9An0B/QH9Aj0DPQT9Bz0JvQv9Db0O/RA9ET0SfRO9FP0WfRg9Gn0dvSF9JT0ovSt9LT0uPS89MH0yfTU9OD06/T09Pr1APUI9RL1HvUq9TT1O/VC9Uj1T/VZ9WP1bvV59YX1kvWf9av1tfW+9cb10PXb9er1+vYJ9hf2I/Yt9jj2Q/ZP9lr2ZfZv9nj2gvaN9pn2pvaz9r/2yvbV9t726Pbx9vr3BPcM9xP3FvcW9xL3C/cC9vj27/bo9uP25Pbs9vv3EPcp90H3Vvdm93L3fveL95n3qPe298H3yvfS99n34vfr9/X3/vgG+Az4E/ga+CL4Kvgx+Dn4QPhI+FD4W/hn+HP4fviH+I34kPiS+Jb4nfir+L741Pjp+Pn5A/kG+Qb5BPkD+QL5AvkC+QL5A/kH+Q75F/kf+Sb5K/ku+S/5Lfkm+Rf4//je+Lr4l/h9+G/4bfh1+IP4kvig+Kv4tfi++Mn41/jo+Pz5Evkp+UD5Vvls+YD5lfmq+b/51Pno+fr6Dfoe+i76PPpH+lH6Wvpk+nH6gPqP+pz6qPqy+rr6xPrP+tv65/rz+v77CvsX+yT7Mvs/+0r7VPtc+2T7a/tx+3b7evt9+4D7gvuE+4T7gft7+3T7bfto+2X7ZPtk+2T7Y/tg+1v7VvtR+037SftH+0b7SPtL+077T/tO+0r7Rfs/+zv7Ofs4+zn7Ovs6+zn7N/sz+y77K/so+yf7J/so+yj7Kfsp+yv7MPs3+0H7S/tU+1n7Wvta+1n7Wvtd+2L7Z/ts+3H7ePuB+4z7mvuo+7b7xfvW++n7/vwS/CT8Mvw9/Eb8UPxd/G38fPyI/JH8lfyW/Jf8mPya/Jv8mfyW/JD8ivyF/IP8hfyM/Jf8pvy4/Mz84fz5/RL9LP1F/Vz9cP2B/ZD9oP2x/cD9zv3Z/eD96P3z/gH+Ef4i/jD+PP5I/lb+Z/56/oz+m/6n/rH+v/7S/uz/Cv8r/0v/av+J/6j/x//nAAUAJABEAGQAhQCjAL0A1ADoAP0BFQExAU0BaAGBAZoBswHNAeQB8gH1AesB2wHJAbwBsQGmAZcBigGOAbQCCgKMAyUDuAQlBFwEYgRHBCUECwP+A/gD6wPTA68DigNvA2kDegOiA9cEEgRNBIEEqwTJBNsE4wTmBOYE6QTtBPME+QT7BPkE7wTeBMYEqwSNBG4ETwQwBBAD8APVA8IDugO8A8QDywPOA8kDvQOqA5MDdwNZAzoDHwMOAwsDFAMiAy4DLAMbAv0C2QK1ApcCewJgAkECHwH/AekB4wHxAhICQQJ4ArUC+ANDA5cD8QRJBJIEwQTOBL4EnQR4BF4EUwRRBE8ERAQtBBID/AP4BAwENgRwBLQE+gU/BX0FrQXHBcgFsAWFBVUFLAUQBQEE+wT2BO8E6ATnBPEFDQU6BXMFsQXqBhAGGAX+BcIFcQUaBNIEpgSZBKkEywT1BSEFSgVvBZAFrAXCBdIF3QXkBeMF1wW4BYMFPATuBKgEfARyBIsEvwT/BT8FdQWbBbEFugW4BbEFqwWoBasFtAXABcsF0wXXBdcF1AXPBccFvQWwBaMFmAWSBZMFmgWlBbIFvwXQBeYGAwYoBlQGgQatBtcHAQcwB2UHngfWCAIIHQgjCBwIDwgGCAYIDggZCCAIIgghCCIIJwgyCD4ISAhPCFQIWwhmCHQIggiOCJYIngioCLUIwgjMCNEI0gjTCNkI5gj3CQkJFwkgCScJLwk7CUsJWglmCXAJeQmGCZgJrwnHCd0J7Qn5CgEKBQoHCgcKBQoFCggKEQofCi4KPgpMClkKZgpzCoEKiwqSCpUKmAqdCqUKsgrBCs4K2QrgCuIK4greCtkK0wrNCskKxQrACrkKsQqrCqQKpAqmCqgKpAqZCogKeQpvCnEKfAqPCqUKuArHCtAK0wrQCssKxgrDCsIKwgq+CrIKnwqICnEKYApUCksKPwovCh4KEwoTCiIKOgpTCmMKaQpqCm0KeQqPCqoKwgrQCtQK0QrLCsgKyArLCtIK3QrtCwILGAssCzwLSAtVC2cLggulC8kL6gwEDBcMKAw5DE4MZAx6DI4MoQy2DM0M6A0FDSINPA1VDW0NhQ2bDa4NvQ3JDdgN6w4EDh4OMA4zDiQOCg3zDe0N/Q4fDkIOUg5DDhQN0g2UDW0NZw2ADawN2w3/DhQOGA4QDgMN9Q3qDeUN6A30DgYOHQ4zDkcOWg5uDoQOnw6/DuEPAg8gDzoPUQ9mD30Plg+xD80P6RAFECIQPxBfEIAQohDEEOYRCBErEVARdhGaEboR1hHwEgwSLBJNEmsSfxKFEoASdRJrEmUSYRJZEkgSLhIQEfMR3xHTEcsRwxG4Ea4RpxGjEaERmhGJEXERWRFMEVERZRF5EYERcRFMERsQ7BDMEL0QvhDJENsQ9hEZEUMRbBGIEY4RdxFKERAQ1RCiEHsQXhBFECwQEg/6D+QP1g/OD8oPxw/AD7IPnA9/D2APQA8iDwgO8w7jDtgO0Q7ODswOyQ7DDrsOsA6iDpEOfQ5lDk0ONg4jDhYODA4ADe4N1g27DaINjw2EDX4New15DXcNeQ2BDY0NnA2oDa8NsQ2yDbMNtQ22DbQNrA2iDZcNkA2NDY0NjQ2MDYsNjg2WDaMNsw3BDcgNyA3BDbcNrQ2lDaENow2rDbgNxA3MDcsNwA2rDY8NcA1MDSIM8Qy6DIEMTQwgC/QLvgt1CxUKpwo7CeQJqwmLCXgJYAk/CRsJAQj+CRIJLwk+CSwI8wigCE0IDgfvB+kH7AfnB9AHqgd9B1QHNAcaBwEG4wbABpsGeAZbBkIGKgYPBe8FywWoBYYFaAVKBSoFBwThBLsElwR2BFkEPAQdA/0D2wO6A5oDewNeAz8DIAL/At8CwQKlAooCbgJQAjACEAHyAdUBuAGZAXMBSQEcAO8AxgChAH8AXwA/ACEABv/x/97/yf+w/5D/av9D/x3++/7c/r7+nv5+/lz+PP4d/f793/2//Z/9gP1j/Uf9K/0M/Ov8yPym/Ib8Z/xI/Cj8Bvvj+8P7pvuO+3b7XftA+x76+vrX+rX6lPp1+lb6NvoW+fj52/m/+aP5hflm+Uj5LPkS+P346PjU+L/4qPiS+H74bfhf+FP4R/g5+Cj4FPf/9+r31/fG97X3pPeT94P3dvds92X3XfdT90b3Nfck9xT3Bvb59uz23fbN9r72sPal9pv2kfaF9nn2bfZm9mP2ZfZr9nL2efaA9ob2i/aP9pH2kfaS9pX2mvai9qv2tfa89sH2w/bD9sH2wPbA9sP2yPbO9tT22Pba9tr22/bc9t/24vbk9uX25vbp9u729vb+9wX3C/cS9xv3KPc290T3TfdS91X3WPdh92/3gfeV96n3u/fM99z37Pf6+Ab4EPgZ+CT4L/g6+EP4R/hI+Eb4RfhI+FD4XPhr+Hf4fPh0+F74O/gQ9+b3xfey9633s/e/98z32ffm9/P3/Pf89/D32fe996b3mved96n3uffH99D31PfU9873xPe296j3n/ed96H3ofeW9333X/dH90T3VPds93r3cvdX9z/3Rfd39874K/hm+GT4I/e/9173IvcW9yz3Svda91T3P/cp9x33GvcY9wz28fbO9rH2qPa69uP3FvdE92H3avdj91T3R/dC90f3Uvdd92P3YPdX90j3Ofcp9xn3B/bz9t72y/a69qz2n/aN9nT2VfYw9gj13/W19Yr1X/Uz9Qn04fS99J30g/Rw9GX0YfRh9F70VfRF9DD0HfQQ9Av0DfQQ9BD0DPQE8/3z+fP28/Tz7vPj89XzxvO787Pzr/Ot86vzq/Or863zsvO287rzvPO887zzvPO9873zvvO/88HzxvPO89jz4vPs8/Tz+vP+9AH0BPQJ9A/0FvQf9Cn0NvRG9Fb0ZvRz9Hv0f/SC9Ib0jfSX9KL0q/Sy9Lb0uvTC9M302/Tq9Pf1APUG9Qz1E/Ub9SX1MPU79Uj1VfVj9XL1f/WM9Zj1pfWy9cH10fXg9e31+PYC9gz2FvYh9iz2NvY/9kj2UPZa9mb2dPaC9pL2oPas9rf2wPbI9tH23Pbo9vP2/vcE9wf3BfcB9vz29fbu9uj25Pbl9uv29fcD9xH3Hfcp9zX3RPdV92r3ffeO95r3o/eq97L3vffL99j35Pft9/X3/PgE+A34F/gi+Cv4NPg7+EL4SfhQ+Fn4Yvhr+HT4e/iB+If4j/ic+K34wPjT+OL47Pjw+PH48Pjw+PL49vj7+QD5BfkK+Q/5Ffkc+SP5K/k1+UH5TPlU+VT5SPkw+Q/47PjM+LX4qfim+Kv4s/i7+MT4zPjU+N345/jz+P/5C/kW+SL5Lvk9+VD5Z/mB+Z75uvnU+ev6APoS+iP6Mfo8+kb6UPpb+mf6dfqD+o/6mPqg+qj6s/q/+s763frr+vn7BfsR+x77Kvs0+zz7QvtH+0v7UftY+1/7Zvtr+2/7cftz+3L7cPtr+2T7XftX+1P7UftQ+0/7TftK+0b7Qfs8+zf7NPsy+zH7Mvs1+zn7PPs9+zv7Nvsw+yr7J/sl+yb7KPsq+yv7Kfsl+yH7Hfsa+xj7GPsY+xf7F/sX+xn7Hvsn+zP7QPtM+1T7WPtZ+1j7WPtZ+1v7Xftg+2L7Zftr+3L7ffuL+5z7rvvC+9f76fv6/Af8E/wg/C/8QPxU/Gf8d/yC/In8i/yM/Iz8i/yJ/IT8fvx2/G/8afxm/Gj8bfx3/IX8lvyq/MD82Pzy/Q79Kv1E/Vv9b/1//Y79n/2x/cP90/3g/er98v36/gT+EP4c/ij+M/4//k7+Xv5v/n7+i/6W/qH+sP7E/t7+/P8b/zv/W/95/5f/s//O/+kABgAnAEsAbgCPAKkAvQDQAOYBAQEgAT4BWQFwAYUBngG8AdoB8QH6AfMB4QHMAb0BsQGkAY8BdgFkAXABrQIjAsQDcQQGBGgEjgSFBGIEOwQdBAkD9gPeA74DngOJA4cDngPJBAEEOgRrBJAEpwS1BL0EwwTJBM4E0QTQBMoEwQS2BKgElwSCBGgESwQtBBID+wPmA9MDwAOxA6oDrwPCA+AEAwQjBDsERgRGBDsEKgQUA/8D7QPlA+cD8wQDBBAEEwQHA+8DzgOqA4UDYQM8AxQC7ALIAq8CpgKxAs8C+wMxA20DsAP5BEkEmwTnBSIFQQVABSEE8QS/BJkEhAR/BH4EeQRsBFkESARCBEwEZQSKBLUE4gUOBTgFXAV2BYMFgwV5BWsFXwVZBVYFVAVQBUoFRQVEBUwFYAV+BacF2AYMBjkGWAZhBlEGMQYMBfEF6gX7BiAGUQaGBroG6AcOBykHOAc7BzUHLAckBxoHAwbSBn4GCQWCBQEEnwRrBGYEggSwBN0FAQUaBSkFMQUzBTEFKwUmBSYFLwVABVYFawV5BX4FegVvBWAFUAU/BTAFJAUfBSEFKgU4BUkFXgV3BZgFxAX4BjMGbwamBtoHDQdCB30HuQfxCBoILgguCCIIEggKCAwIFwgmCDEINwg4CDcINwg4CDkIOgg8CEEISwhZCGcIdAh8CIIIiQiTCKEIsAi8CMQIyQjPCNkI5wj2CQMJCgkOCRIJGgkmCTUJQwlOCVcJYQlvCYIJmQmwCcQJ1AnhCeoJ8Qn0CfUJ9An0CfkKAwoRCiEKMQo/Ck4KXgpxCoIKjwqVCpQKkQqRCpYKogqxCr8KyQrPCtEK0QrRCtIK0grSCtEKzQrHCr0KsgqpCrIKqQqcCo0KegpnClkKVQpeCnUKlgq4CtUK6QrwCu0K4ArOCrkKpAqUCosKigqNCo8Kiwp8CmUKSQorChEJ/AnuCeoJ7gn9ChIKJwo3Cj4KPQo5CjsKRQpWCmkKdgp6CnYKbQpnCmgKcQqBCpUKqwrACtYK6Ar3CwMLDgscCzILUAtzC5ULsQvFC9ML4QvzDAsMJwxDDF0MdAyJDKAMuQzVDPANCA0bDSsNOQ1FDVENXg1tDX8Nlw2wDccN1Q3XDc4Nww2/DcsN5g4FDhkOEw3tDbINdA1GDTUNRQ1pDZQNtw3LDdMN0Q3MDcgNxA3CDcMNyg3ZDfAOCg4kDjsOTw5iDngOlA61DtcO9g8RDyYPOg9PD2YPgA+cD7YPzw/nEAEQHRA8EFwQfBCcEL0Q4REHES4RVRF2EZERpxG+EdkR+hIcEjsSTxJWElESSBJAEjsSORI0EigSFRH+EegR1hHGEbcRqRGdEZcRlxGdEaERnBGLEW8RURE5ESwRJxEhEREQ9BDPEK0QmRCXEKcQwRDiEQcRMBFbEYURoxGsEZkRbBEuEOoQrRB+EFwQQhAsEBQP/A/kD9APwg+4D7EPqQ+cD4kPcA9TDzUPGg8EDvMO5w7eDtcO0g7ODsgOwA61DqcOmQ6KDnoOag5YDkMOLQ4YDgYN+A3rDd0NzQ25DaYNlA2FDXsNcg1sDWkNag1wDXoNhw2TDZ0NpA2rDbINtw24DbQNqg2dDZINjA2MDZANlg2aDZ0NoQ2mDa0Nsw20DbANpg2cDZINjg2NDZENlw2fDacNrQ2uDaYNlg1+DWMNRg0oDQUM2QyjDGcMLAv1C8ULkgtUCwUKqApICfUJuQmSCXgJWQkwCQAI1gjBCMMI1QjgCNIIoQhWCAgHzge0B7cHyAfRB8UHowd1B0gHJAcKBvUG3Qa+BpkGdAZTBjcGHgYEBeYFxAWgBX0FWwU8BRwE+gTXBLMEkARwBFIEMwQUA/ID0AOvA5ADcwNXAzkDGgL7AtwCwAKmAosCcAJSAjQCFwH7Ad8BvwGZAWwBOwEKAN8AvACfAIQAaABKACwAEv/9/+v/2P/A/5//d/9N/yX/AP7g/sH+oP59/ln+N/4Y/fz93/3D/aX9h/1p/U39L/0R/O/8zfyr/Iv8bfxP/DD8Dvvr+8n7qvuO+3T7Wvs++x76+/rZ+rf6l/p4+lj6Ovob+f754fnF+ab5h/ln+Ur5L/kZ+QT48Pjb+MP4q/iU+ID4b/hi+FT4Rvg2+CT4EvgA9+/33/fO9733q/ea94r3ffdz92v3YvdV90X3M/ch9xH3Avb19uj22fbJ9rn2qvad9pL2h/Z99nT2a/Zk9mD2YPZi9mb2bPZx9nb2efZ79nz2ffZ+9oH2hvaN9pX2nfak9qr2rvav9q72rPaq9qr2rfaz9rn2vvbB9sH2wvbE9sf2yvbN9s32zfbO9tD21fbb9uL26vby9vv3B/cV9yH3K/cw9zT3OPc/90z3Xfdy94j3nfew98L30fff9+z3+PgE+BD4Gvgj+Cn4Lfgv+DD4NPg5+EL4Tfha+GT4aPhi+E34K/gB99b3s/ef95j3nPen97T3wffQ99/36vfs9+H3yveu95X3h/eF94/3nver97T3uPe397D3pPeV94f3ffd593j3dfdo91P3PPcu9zL3RPdX9173Ufc59yz3QfeA99n4KvhN+C330PdY9vD2tvau9sb24fbo9tf2ufai9pr2oPak9pr2ffZX9jz2PfZe9pn22/cS9zD3Nvcp9xj3C/cI9wz3EvcV9xL3CPb69ur22/bM9rz2qfaT9nr2YfZJ9i72EPXs9cH1kPVd9Sv0/fTS9Kv0h/Rn9Ez0NvQl9Bf0DPQE8/7z/fP98/3z+PPu8+Dz0fPG88PzxfPL883zyvPB87TzqfOh853zmvOV843zgfNz82bzXPNX81XzV/Na81/zY/Nm82jzavNs823zb/Nw83LzdPN383vzgfOI85Hzm/Ok86zzsvO387zzwfPH88/z2PPi8+zz+fQH9Bf0JvQy9Dv0QfRG9Ev0VPRf9Gr0c/R49Hr0fPSA9Ir0mPSn9Lb0wfTI9M701PTc9OX07vT59QT1EfUh9TL1RfVY9Wr1fPWM9Zz1q/W49cT1zvXX9eD16vX19gH2DPYX9iD2KfYx9jr2RPZQ9l/2b/Z/9o72m/am9rD2ufbE9s722Pbg9ub26/bw9vT29/b69vr2+Pb19vP28vby9vT2+Pb+9wf3Ffcm9zn3TPda92X3bPdz9373i/eb96z3u/fI99P33ffn9/P4APgN+Bn4I/gs+DP4OPg8+ED4RfhM+FX4X/ho+HH4efiD+I/4nfit+Lz4yPjP+NT42Pjd+OP47Pj1+P35BPkI+Qn5CvkL+Qz5EPkX+SL5L/k8+UX5Rvk9+S35GPkD+PL45vjf+N343Pjd+N744fjm+O749/kC+Qv5E/kZ+R/5Jfkv+T75VPlt+Yj5ovm6+c754vn0+gj6Gvos+jz6S/pY+mX6cvp9+of6kPqZ+qL6rvq9+s363frs+vr7BfsR+xv7Jfst+zL7NPs1+zb7Ofs/+0b7TPtS+1X7V/tZ+1j7V/tT+0/7SvtF+0L7QPs/+z77PPs4+zT7L/sr+yf7JPsh+x/7Hvsf+yD7I/sk+yP7IPsb+xb7EfsP+xD7E/sX+xr7G/sa+xf7E/sP+wz7C/sK+wn7CPsI+wr7DvsW+yL7MPs9+0j7UPtU+1X7VftW+1b7V/tX+1f7WPtb+2L7bft9+5D7pPu3+8j71vvh++37/PwP/CX8PfxR/GH8a/xx/HT8efx9/IH8gvx8/HL8ZfxX/E38SPxI/Ev8UfxZ/GX8dfyK/KX8w/zj/QT9Iv09/VT9aP15/Yr9nf2w/cP91f3j/e799v3+/gX+Dv4Y/iP+L/48/kn+V/5k/m/+ef6E/pL+pf67/tX+7/8L/yj/Rv9l/4P/nf+1/8v/5AADACkAUAB0AJAApQC4AM4A6wEOATABSwFgAXEBhwGkAccB5wH6AfsB7AHXAcQBtgGpAZYBeQFdAVYBegHWAmUDEQO4BDwEiwSnBJ0EgQRfBD0EGgP0A84DrgOgA60D1gQSBFUEjgS0BMMEwQS4BLAEsAS4BMEExwTDBLcEpQSQBHsEZQRMBC8EEAPzA94D0wPRA9UD2QPeA+cD+gQbBEoEhAS+BPIFGQUzBUAFRAVBBTwFNgUzBTUFPgVMBVsFZgVpBWEFTAUuBQcE2wSrBHgERQQVA+wDzQO6A7UDvwPXA/wELgRqBK0E8QUsBVUFZgVdBT8FFATrBMwEvAS3BLYEsgSoBJwEkwSVBKQEvwTgBQMFJAVBBVkFbAV4BX0FfQV5BXQFcAVuBWsFZwVgBVoFWQVcBWUFcgWCBZMFqQXEBeQGBAYgBjMGPgZFBk8GYgaCBq0G4wcfB14HngfXCAUIIgguCC8ILQgtCCkIFgfhB38G8gZOBa0FKgTTBKUEkQSDBG8EUwQ1BB8EFQQWBBwEIwQrBDYESgRnBIoEqwTCBMoEwwSyBJ4EiwR8BHMEbwRzBH8EkgStBMwE8QUaBUwFhQXHBg0GUwaVBtIHDAdGB4IHvQfxCBcIKggsCCMIFggPCBEIGggmCDIIPAhBCEMIQwhACDwIOQg6CEEITAhbCGgIcQh3CHwIhAiPCJ0IrAi5CMMIzAjVCOEI7Qj4CP8JAQkDCQYJDgkaCScJMgk7CUMJTgleCXEJhwmaCakJtQnBCc4J2gnkCesJ7wnzCfkKBAoRCh4KKwo2CkMKVApoCnwKjAqTCpMKjwqOCpIKnAqnCrAKtQq2CrYKtwq8CsIKyArMCs4KzQrLCscKwQq7Cs8KvgqjCoMKYQpFCjYKNwpICmcKjAqwCswK3QrjCt0Kzwq5Cp0KfgpjClIKTQpUCmEKagpoClcKOgoZCfsJ5QncCd0J5gn0CgEKDAoQCg8KCgoFCgMKBgoMChIKFQoTChAKDgoUCiEKNgpNCmQKeAqJCpkKqgq7Cs4K4Qr3CxALKwtGC2ALdQuGC5YLqAvAC90L/gwdDDkMUQxnDH4MlwywDMgM2wzoDPEM+A0ADQwNHA0uDUINVg1nDXINdw13DXYNew2KDaQNwQ3VDdYNuw2KDVENIQ0KDQ8NLA1RDXMNhw2PDY8Njw2TDZoNog2pDa8NuQ3IDd4N+A4TDioOPQ5RDmgOhA6lDscO5Q7+DxEPIw84D1APaw+GD6APtw/ND+MP/RAZEDgQVxB4EJsQvxDmEQsRLBFIEV4RchGJEaYRxxHpEgUSFRIbEhgSExIQEg8SDRIHEfsR6hHXEcYRuBGtEaMRmhGTEZERlhGeEaMRnhGNEXQRWBFAES0RHBEHEOgQwhCbEH0QbxBzEIcQpBDFEOoREBE2EVURZRFfEUEREBDVEJwQaxBHEC0QGBADD+4P2Q/FD7QPpg+cD5IPhg92D2IPSQ8wDxgPBA71DusO4w7cDtQOyw7CDrcOqg6cDo0OfQ5uDmEOVQ5IDjgOJQ4PDfoN5w3XDckNvA2vDaINlA2HDXsNbw1lDV4NWw1dDWQNbw17DYcNkw2eDakNsA2yDa4NpA2YDY0NiA2IDY4Nlg2dDaQNqg2vDbENrg2lDZcNiA1+DXsNgQ2KDZQNmQ2aDZYNkA2GDXcNZA1MDTMNGw0DDOcMwgyQDFMMEQvQC5YLYAsoCucKmwpMCgQJzgmqCY8JcAlDCQcIyAiWCHgIbQhnCFQIKwfuB64HgAdvB30HmAeuB68HlwdtBz4HFwb7BuYG0Aa1BpQGbwZMBi0GEwX6Bd4FvgWbBXYFUQUvBQ0E7ATKBKoEiwRtBE8EMAQOA+sDyAOnA4gDbANQAzQDGAL6At4CwQKmAooCbQJPAjMCGQH/AeIBwAGWAWUBMgEDAN4AwgCsAJcAfQBeAD4AIQAK//j/5f/M/6v/gv9V/yv/Bv7l/sX+pP5//lr+N/4X/fv94P3F/aj9i/1t/U/9Mf0S/PH8z/yt/I38b/xS/DT8FPvz+9H7sfuU+3j7XvtB+yL7Avrg+r76nfp8+lz6Pvoh+gb56vnM+a35i/lq+Uz5Mvkd+Qn49vjg+Mf4r/iZ+Ib4dvho+Fr4Sfg2+CL4D/f99+734PfR98L3svei95P3hvd69273YPdR90D3Lvcd9w32//by9uT21vbG9rb2pvaX9or2f/Z29m/2aPZi9l32W/Zb9l32YfZm9mn2avZp9mj2afZr9m72c/Z49n32gvaH9o72lPaZ9pv2m/aZ9pj2mfad9qH2pfan9qf2p/ao9qv2r/ay9rT2s/ay9rP2tfa79sH2yfbS9tz26Pb09wH3CvcQ9xP3Ffca9yX3NvdM92T3e/eR96P3s/fA98332ffk9+739vf++AT4CvgQ+Bj4Ifgq+DP4O/hD+En4S/hE+DH4E/ft98f3p/eT94z3j/eY96T3sPe+98z31vfZ99H3v/eo95L3g/d+94H3hveL9433jPeK94b3gPd49273ZPdc91T3Svc99y73JPcj9y33PfdJ90j3Ovcs9y/3VPeX9+P4FvgS9833V/bX9nT2RfZI9mX2fvZ/9mf2RvYs9iT2KvYu9iX2C/Xr9db13PYA9jn2d/ap9sf20PbM9sX2wfbC9sT2xvbC9rr2rfad9oz2evZm9lL2O/Yi9gX15fXA9ZT1YvUq9PD0tvSC9FX0L/QP8/Pz2vPF87Xzq/On86Xzo/Oh857zm/Oa85vznPOa85Tzi/OC833zfvOB84TzgfN482rzXPNR80zzS/NL80fzPfMt8xzzDvMG8wTzB/MM8xDzEvMU8xXzGPMb8x7zIPMj8ybzKfMu8zTzO/ND80rzUvNb82Pza/Nz83rzgfOJ85HzmvOj867zufPG89Pz4fPt8/f0APQI9BH0HPQp9Db0QPRF9Eb0RfRG9Ez0VvRj9HH0fPSF9Iz0k/Sb9KT0rfS39ML0z/Tf9PL1CPUf9Tb1S/Vf9XH1gPWO9Zr1pPWu9bb1v/XJ9dX14fXu9fv2BfYO9hb2HfYm9jH2QfZS9mX2dfaD9o72mPah9qr2s/a79sL2yfbR9tr25Pbt9vT29/b39vX28fbu9uz27Pbw9vb2//cL9xf3Ivcp9y/3NPc690P3UPdg93H3gveS96H3sPe+98v31/fj9+73+vgG+BH4Gvgi+Cf4K/gx+Dn4QvhL+FP4Wfhf+Gf4cfh/+I/4nvis+Lf4wPjJ+NT43/jp+PL4+Pj7+Pv4+vj5+Pj4+fj7+P/5BvkO+Rb5G/kd+Rv5FvkQ+Qr5BfkA+Pr49Pjt+Of44/jk+Or49PkB+Q75G/km+S/5OPlD+VH5Y/l2+Yr5m/mp+bf5xfnX+ez6BPod+jT6R/pW+mL6bPp2+n/6iPqT+qD6rvq++s763Prp+vX6//sK+xT7Hvsl+yr7K/sq+yr7LPsv+zT7OPs7+zz7PPs7+zr7OPs2+zP7MPst+yz7K/sr+yr7KPsk+yD7HPsY+xX7EfsO+wn7BvsD+wP7BPsG+wf7B/sE+v/6+/r3+vb69/r7+v/7A/sE+wT7Avr/+vz6+vr5+vn6+Pr4+vn6/PsC+wv7F/sk+zH7O/tD+0f7S/tN+077T/tQ+1D7UftU+1v7Z/t4+4r7nPuq+7X7v/vL+9z79PwS/DD8SfxZ/F78W/xX/Ff8Xfxo/HL8dfxu/F78Sfw3/Cv8Jvwm/Cn8LPwv/Df8Rfxd/H38ovzK/O/9EP0s/UP9WP1s/YD9lv2r/b/90P3f/ev99f3+/gb+Dv4W/iD+K/42/kL+Tf5W/l7+Z/51/of+nf61/sz+4v75/xP/Mf9S/3H/jP+f/6//wv/dAAIALQBWAHYAjQCfALQA0gD3AR0BPQFTAWMBdAGNAbAB1AHvAfkB8QHfAcsBuwGsAZkBfQFcAUcBUAGIAfMChAMkA7cEKQRyBJUEmQSJBGsEQgQUA+gDywPHA+QEHgRqBLUE7gULBQwE+ATeBMsExQTLBNYE3gTdBNQExQS0BKIEjgRzBFIELQQLA/UD7wP3BAkEHQQxBEUEXwSFBLsE/QVEBYgFwwXyBhYGMAZABkkGSgZHBkQGRwZSBmcGgQaYBqYGpQaRBm0GPAYDBcgFjAVSBRoE5ASxBIcEaARbBGEEewSmBNoFDgU7BVgFYwVdBUoFMwUeBRAFCgUJBQcFAwT9BPkE/AUJBSAFPwVfBXwFkwWiBasFrgWrBaQFmgWSBYwFigWKBYgFgwV9BXgFdwV8BYUFjQWTBZYFmgWiBbMFzQXtBg0GKQY/BlIGYwZ4BpUGvgb2Bz0HjQfgCCsIZQiMCKcIuwjPCNwI1giuCFgH2QdCBqwGKgXEBXAFHAS6BEgD0ANnAx0C+wL5AwsDIQM1A0gDXgN7A5wDugPNA9ADwwOtA5QDfgNuA2MDXwNiA3ADigO0A+wEMAR+BNIFKwWFBdsGLAZ1BrgG9gcyB24HqAfdCAYIIQgtCC0IKAghCBwIGwgdCCMIKggyCDkIPQg/CD8IQAhFCE4IWghlCG8IdQh5CH8IiAiWCKUIswi9CMUIzQjWCOAI6gjwCPII8QjyCPcJAQkNCRgJIAkmCS4JOwlOCWMJdwmHCZIJmwmoCbgJywnbCegJ7wn1CfwKBgoSCh0KJgouCjgKRwpaCm8KgAqKCowKigqJCowKkgqYCp0KngqfCqIKqAqyCrsKwQrECsQKxQrICs4K1ArWCtAKuwqZCnAKSAopChkKGQomCjwKVgptCn8KjAqVCpoKmQqPCnwKYQpFCjAKKAotCjsKSQpOCkUKMQoYCgEJ8QnpCeYJ5AnhCdwJ1QnPCckJxQnCCb8JvQm8CboJugm8CcIJzgngCfgKEQooCjoKRwpSCmAKcwqMCqgKxQrfCvYLCQsaCyoLPAtQC2cLggufC78L3Qv5DBIMKAw+DFYMbwyHDJwMqwy1DLsMwgzODN4M8g0HDRkNJg0sDSwNKw0rDTINQQ1XDXANgw2HDXcNVA0mDPwM4gzfDPENEA0wDUYNUQ1UDVYNXQ1qDXoNig2WDZ8NqQ24Dc0N5g4ADhcOLA5ADlYOcg6RDrEOzg7lDvgPCg8dDzQPTQ9nD4APlw+tD8QP3A/4EBYQNhBZEH4QoxDIEOgRBBEZESwRQBFZEXcRlhGxEcQRyxHLEccRxBHGEckRyxHGEbsRqxGbEY4RhRF9EXYRcBFsEW0RchF4EXsRdxFrEVsRSxE+ETMRJhEQEPAQyBCfEH0QZRBaEFkQXRBmEHUQiBCeELEQuxC1EKEQgRBeED4QJBAOD/oP5g/QD7oPpg+WD4gPfg90D2oPXw9QDz8PKw8XDwUO9w7tDuYO3w7WDsoOug6qDpoOjA5+DnEOYw5VDkkOPQ4yDiUOFg4DDe8N2w3JDbkNrQ2kDZ0Nlg2QDYgNfg10DWsNZA1hDWINaA1wDXoNhA2PDZkNoA2jDaENmg2SDYoNhg2GDYoNkA2WDZwNoQ2jDaANlw2HDXUNZQ1eDWENbg19DYgNiQ2BDXINYg1RDUANLg0aDQYM8gzfDMoMrQyEDEwMCwvJC4wLVQshCucKpQpbChQJ2AmqCYcJYwk1CPgItAh2CEoIMgglCBQH9AfEB40HYAdMB1IHageCB4wHfgdeBzQHDAbsBtQGvwamBogGZgZDBiQGCAXuBdQFtwWXBXMFTwUrBQkE5wTGBKcEiQRsBE4ELQQLA+cDxAOiA4MDZwNMAzEDFQL5At0CvwKhAoICYwJGAioCEQH3AdoBtgGJAVgBJwD/AOAAywC6AKUAiQBnAEQAJgAO//v/6P/O/6v/gP9T/yn/Bf7m/sf+pv6C/lv+Nv4V/ff93P3C/ab9iv1u/VH9M/0U/PP80Pyt/Iv8a/xO/DH8E/v1+9f7ufuc+4D7ZftI+yr7Cvro+sX6ovqA+l/6Qfol+gr57/nS+bP5kflw+VP5Ofkk+RD4+vjj+Mr4sfic+Ir4e/hs+Fz4Svg2+CD4DPf69+r32/fN97/3sfej95X3hvd292X3VfdE9zT3JfcW9wf2+fbq9tz2zfa+9q/2nvaO9oD2dPZq9mL2W/ZU9k/2TfZN9lH2V/Zc9l/2XvZb9lj2V/ZY9lz2YPZj9mX2ZvZp9m72dfZ79n/2gfaB9oD2gfaE9oj2ivaL9or2ifaJ9ov2jvaR9pP2k/aS9pP2lvaa9qD2pfas9rX2wfbP9t326Pbw9vP29Pb29v73DPcg9zj3UPdn93v3jPeb96j3tPe+98f3zffT99n34Pfp9/T4APgK+BP4Gfgf+CP4Jfgh+BT3/vff9773ofeL94D3fveD94v3l/ej97D3uve+97n3rfec94v3fvd293D3avdk9133WfdX91n3XPdd91r3UvdF9zb3JvcX9w73C/cR9xz3Jvcp9yT3HPcd9zb3afer9+L38vfH92P23/Zi9gv16vX09hH2JvYi9gj15/XP9cb1yfXM9cT1r/WX9Yj1ivWh9cb17vYS9iz2P/ZO9lz2Z/Zw9nX2dPZv9mX2V/ZF9i72EvXz9dP1svWR9W31Q/UT9Nv0nfRf9CPz7/PG86fzkPN982zzW/NL8z/zOfM58z3zQfND80PzQvNC80bzSvNN803zR/M/8zfzMvMy8zTzMvMr8x7zEPME8v/y//MA8v/y9/Lo8tbyx/K98rvyvfLB8sPyw/LD8sPyxfLJ8s3y0PLS8tXy2vLi8uvy9fL98wXzDfMV8x/zKfMz8zzzRPNL81LzW/Nk82/zefOF85HznvOq87bzwfPM89fz4/Px8/70CfQQ9BL0EvQS9BX0G/Qk9C/0OvRE9E30V/Rh9Gz0ePSC9I30mfSn9Lj0y/Th9Pj1D/Uk9Tj1S/Vc9Wv1efWE9Y71lvWe9af1s/XA9c/13fXp9fP1+/YD9g72HPYs9j32TvZc9mf2cvZ89oj2k/ae9qj2r/a19rv2wvbK9tP22vbf9uP25fbo9ur27vby9vf2/fcC9wf3C/cN9w/3EfcU9xj3H/co9zP3QfdQ92H3c/eD95D3mvej96z3uffI99r36/f6+AX4DfgU+Bv4JPgt+DX4O/hB+Ef4Ufhd+G34ffiL+Jj4pPiw+Lz4yPjT+Nv44Pji+OT45fjn+On46/js+Oz47Pjt+O/48fj0+Pf4+fj7+Pz4/fj7+Pf48fjp+OH42/ja+N745/j1+QX5Ffkk+TL5P/lN+V35bvl/+ZD5nvmp+bP5v/nO+eL5+voS+ij6OfpG+k76Vfpd+mf6c/qC+pP6pPq1+sT60frc+uX67/r6+wX7EPsZ+x/7Ifsi+yP7JPsm+yn7K/sr+yj7Jfsh+xz7GfsV+xL7D/sM+wv7CvsK+wr7CvsI+wf7BPsB+v76+frz+u365/ri+uD64frk+uf66vrq+uf64/re+tv62vrb+t364frj+uT64/ri+uH64fri+uL64/rj+uT65fro+u769vsB+w37Gfsj+yv7Mvs4+z77Q/tI+0v7T/tV+137aPt2+4T7kPuY+5/7p/u2+8/78fwY/Dv8UvxZ/FL8Q/w3/DT8PvxO/F38YfxY/ET8K/wW/An8BPwG/Aj8CfwJ/A78Gvwz/FX8f/yp/ND88f0M/ST9O/1S/Wv9hP2b/a/9wf3R/d/97f35/gP+C/4R/hf+H/4n/jH+Ov5D/k7+Wv5s/oL+m/6z/sf+2f7r/wH/H/9B/2L/ff+O/5n/pv+8/+AADAA5AF0AdQCHAJoAtQDbAQUBKwFHAVkBaQF9AZkBuwHYAeoB7AHiAdIBwQGwAZwBgAFdAT0BLgE/AXoB3AJYAtwDVwO8BAYENQRMBE4EPwQnBBEEBwQTBDkEdgS+BQAFMAVGBUMFMAUZBQoFBgUNBRgFIAUhBRwFEgUHBPsE6gTQBK0EhARcBD8EMgQ0BEIEVARnBHsElQS6BOwFKgVuBbEF8AYoBlgGfwadBq8GtQayBqsGqga0Bs4G8wcaBzoHSQdCByQG9ga9BoIGRwYOBdYFnAVhBSgE9wTWBMgE0ATqBQ4FNQVVBWsFdAV0BW4FZwVkBWMFZQVnBWcFZwVoBW8FfgWTBawFxAXXBeQF6QXqBekF5AXdBdQFywXEBcEFwwXIBcwFzQXKBcUFwQXBBcQFyAXLBcwFzgXVBeMF+QYVBjEGSAZWBlwGWwZaBl4GcAaUBs8HHAdzB8gIEwhRCIQIsQjaCP4JEQkGCNkIiwgqB8UHZQcGBpwGGAVzBLoEAwNtAwwC5gLtAwoDJwM4AzsDNwMzAzMDMwMtAx0DAwLiAsACngJ9Al0CPgIkAhcCHgJCAoUC5QNbA+EEawTyBW8F3gY8BowG0QcQB0wHhwe+B+8IFggyCEAIQgg7CC0IHQgQCAkICQgQCBoIJAgsCDIIOQhBCEsIVgheCGMIZwhsCHUIggiSCKEIrAizCLgIvgjHCNAI2AjbCNoI2AjaCOEI7Aj6CQQJCwkRCRoJKQk+CVUJaAl3CYEJjAmaCa4JwwnWCeIJ6AnsCfEJ+goGChEKGQogCigKNQpGClkKawp2CnsKewp7CnwKfwqDCoUKiQqQCpwKqwq7CsUKxgrACrgKswq3CsEKzgrVCpYKfgpcCjcKFgoACfcJ9wn+CgYKDAoQChQKGwomCjMKQQpJCkcKOwopChoKEgoVCh8KKAosCiYKGAoICfkJ7QniCdQJwQmrCZQJgQl4CXUJeAl7CXsJeQl1CXMJdgl+CY0JoQm4CdEJ5wn5CgcKEwofCi8KRwpkCoUKpAq8Cs4K2wroCvgLDQsoC0gLaAuGC6ILuwvRC+YL/AwTDCsMQgxXDGgMdAx8DIQMjwyeDLIMyAzcDOoM8AzxDO8M8Az1DQENEQ0hDSwNLQ0iDQwM8AzUDMEMuwzEDNcM7w0EDRMNHA0jDSwNOg1LDV0NbQ16DYUNkg2jDboN1Q3xDgsOIQ42DksOYw59DpgOsQ7HDtkO6w78Dw8PJQ88D1QPbA+ED5wPtQ/RD+8QERA1EFwQgRCkEMIQ2RDtEP8RFBEtEUgRYRFxEXgRdRFtEWYRZBFoEW0RcRFwEWoRYBFWEU0RRhE+ETYRLhEpESgRLBExETMRMhEsESURIBEeERwRFhEHEO0QyxCkEH8QXRA+ECEQBw/xD+MP3w/kD+4P+A/9D/wP+A/zD+4P5w/dD80Ptw+eD4YPcg9kD1oPUw9ND0YPPQ8yDyUPFQ8EDvQO6A7gDtoO0g7HDrcOow6ODnwObQ5iDlgOTQ5ADjIOJA4YDgwOAA3yDeMN0g3BDbINpQ2dDZoNmg2cDZ0NnQ2YDZENiQ2BDXoNdw11DXQNdg15DX0Ngg2GDYcNhg2EDYMNhA2HDYsNkA2UDZUNlA2QDYYNeA1lDVINQw0+DUQNUQ1eDWQNXg1PDTkNIw0QDQEM8gzkDNQMxQy3DKgMkgxxDEIMCQvNC5ULYws1CwMKxwqACjMJ6gmqCXQJQwkPCNYImQhlCEEIMQguCCsIGgf0B78HiAdfB0sHTQdZB2IHXQdJBygHAwbiBsYGrQaVBnoGWgY6BhkF+wXfBcQFqAWMBW0FTQUsBQsE6gTKBKoEigRrBEsEKQQGA+MDwAOgA4EDZANJAy4DEgL2AtkCuwKbAnoCWgI8AiECBwHtAc0BpgF4AUgBGwD2ANsAyAC2AJ8AgQBeADsAHQAG//T/4P/F/6H/dv9L/yP/Af7k/sf+p/6D/lv+NP4Q/fD91P27/aL9iP1u/VP9N/0Y/Pb80vyt/In8aPxJ/Cz8D/vz+9f7u/uf+4P7ZvtI+yj7CPrm+sT6ovp/+l/6QPok+gn57vnR+bP5k/l1+Vr5Qvks+RX4/fjj+Mj4r/ia+Ij4ePhp+Ff4RPgw+Bz4CPf29+X31PfF97f3qfec9433fPdp91f3Rfc19yf3GvcM9v327fbc9sz2vvaw9qL2k/aE9nT2Z/Zc9lP2SvZD9j32OfY69j/2RvZN9lD2T/ZL9kb2Q/ZD9kb2SvZM9k32TPZN9lD2VfZa9l32XvZe9l/2YvZn9mz2b/Zw9m/2bfZs9m32b/Zw9nD2cPZw9nL2dfZ59n32gPaD9on2lPaj9rT2w/bO9tP21PbV9tn25Pb09wr3Ivc591D3ZPd294b3k/ee96f3rfex97X3uvfA98n30vfc9+X37Pfz9/n3/ff99/j36/fV97r3nPeB9233Yfdf92X3cfd/9433l/ea95j3j/eD93f3a/dg91X3Svc+9zX3MPcy9zn3QvdI90n3Qfcy9x/3C/b69vD27vby9vn2+/b59vP28vcC9yf3XfeT97H3ofdc9uz2b/YD9cH1rfW49c311fXI9az1j/V79XT1d/V49XD1YPVM9Tv1M/U29UD1UPVk9X/1oPXF9ej2BPYW9hz2GvYS9gb19PXa9bj1j/Vi9TX1C/Th9Lb0hvRR9Bfz3fOo83rzVfM68yfzGfMO8wLy9vLp8t7y2PLX8tvy4vLo8u3y8PL08vjy/fMC8wLy/fL08uvy5PLi8uPy4vLd8tLyxPK38rDyrvKw8q/yqfKd8o7ygPJ28nPyc/J18nbydfJ18nbyefJ88n/ygfKC8oXyi/KV8qHyrfK48sDyyPLR8tvy6PLz8v7zBvMN8xTzHfMo8zPzPvNJ81TzX/Nr83jzhPOQ85rzpfOx873zyfPU89zz4fPk8+fz6/Px8/j0AfQL9Bb0I/Qw9D70S/RY9GP0bvR59IX0k/Sj9Lb0yvTf9PT1CfUe9TL1RfVU9WH1a/Vz9Xv1hfWR9Z/1r/W+9cv11vXh9ez1+fYI9hb2I/Yu9jn2RPZS9mL2c/aD9pD2mPad9p/2ovam9qz2tPa99sX2zvbX9t725vbs9vP2+Pb89v/3AvcE9wb3B/cH9wf3B/cH9wn3DvcX9yX3NPdD91D3Wvdi92z3efeL96D3tvfJ99f34vfr9/T3/vgJ+BT4H/go+DL4PfhJ+FX4Yfhs+Hf4gviO+Jz4qfi1+L74wvjF+Mb4yfjO+NP42Pja+Nr42PjV+NL40fjQ+NH40/jV+Nj42/jc+N343PjZ+Nf41fjW+Nr44fjq+PX5APkK+RX5IPkt+T35Ufln+X75k/ml+bT5wfnP+d357fn++g36Gfoh+if6Lfo1+kH6Ufpl+nr6j/qi+rH6v/rK+tT63vrp+vT6//sH+wz7D/sQ+xH7E/sU+xf7GPsX+xP7DvsI+wL6/Pr3+vL67vrq+uj65vrm+ub65/rp+ur66vrp+ub64fra+tL6yvrD+r/6vvq/+sL6xPrF+sX6w/rA+r36vPq8+r36vvq/+sD6wfrB+sH6w/rF+sj6yvrL+sv6zPrN+tD61frd+uf68fr8+wf7Efsd+yj7M/s++0j7UPtZ+2P7bft3+4D7hvuK+477l/uo+8T76fwP/C38Pfw8/C78G/wQ/BH8IPw1/Ef8S/xB/Cr8D/v4++v76Pvr++778Pvx+/X8AvwZ/Dr8YfyI/Kv8yfzj/Pv9FP0v/Uv9Z/1//ZT9p/24/cn92v3q/fb9//4D/gb+Cf4P/hj+JP4x/kD+Uv5p/oP+nf61/sf+1f7j/vX/EP8v/0//aP94/4L/jf+i/8X/8QAfAEYAYABxAIEAmQC8AOcBEQE0AUwBXgFvAYUBoQG/AdYB4gHjAdwB0AHCAbABlgF1AVABMQEkATABWQGdAfMCUQKvAwYDUwOSA8QD6gQHBCIEQARmBJQExwT6BSQFQQVQBVMFUQVQBVYFYwVzBYIFiQWIBX4FbwVeBUoFMgUUBPAEyQSkBIUEcQRoBGcEagRyBIAElgS3BOQFGAVQBYgFvQXxBiIGUAZ3BpIGnwagBpsGmgajBroG3AcEByYHOwc8ByoHCAbdBq4GgAZUBioF/wXUBagFgAVhBVAFTgVaBXAFiAWdBasFsgWzBbMFtAW3BbsFvwXDBcYFywXWBegF/wYXBisGNwY4BjEGJwYgBhwGHQYeBh4GGwYXBhYGGAYeBiUGKQYoBiMGGwYUBhAGDgYPBhMGGgYlBjQGRwZaBmoGdgZ5BnUGbAZfBlMGUAZZBnUGogbeByEHZAekB+EIHAhXCI8IvgjbCOMI1wi8CJYIZAgeB7gHKgZ5BbkFCASEBD0EMQROBHUEjwSMBGwEOwQEA9EDowN4A08DJAL5AswCnAJnAikB4gGZAVYBJwEZATUBfgHyAokDNgPuBKEFRgXUBkgGpAbuBysHYgeXB8sH/AgmCEMITwhICDQIFwf9B+oH5AfpB/QIAQgLCBMIGggiCCoIMgg4CDwIQAhICFQIZQh3CIYIkAiWCJoIogitCLkIwwjHCMcIxQjHCNAI3QjsCPgJAAkGCQ8JHQkxCUUJWAllCXEJfQmNCaEJtQnECc0JzwnRCdUJ3gnrCfgKAQoICg8KGQomCjYKRQpQClcKWwpeCmEKZQppCm0KdAqACpIKpgq3Cr8KuwqtCpsKjwqMCpMKnAqfCjcKHgoBCecJ1wnQCdIJ1wnbCdkJ0gnJCcEJvwnGCdQJ5gn2Cf8KAQn9CfcJ8wnzCfUJ9AntCeEJ0QnCCbQJqAmZCYUJawlOCTYJJwklCSwJNwk/CUIJQAk9CT0JQglOCV8JcQmECZYJqAm5CckJ2gnsCgEKGwo3ClQKbwqFCpcKpgq4Cs8K7AsNCy8LTQtoC38LlAupC8AL2AvwDAUMFwwmDDAMOQxBDEwMWwxtDIEMkwyiDKwMsAyzDLYMvgzJDNYM3wzhDNoMzQy9DK8MpQyiDKUMrAy1DL8MyQzVDOEM8A0ADRENIQ0xDT4NSw1XDWUNdg2NDagNxQ3jDf8OGA4uDkMOVg5qDn4Okw6nDrkOyg7aDusO/Q8QDyYPPQ9VD24PiA+jD8AP4RAEECkQThBvEIwQoxC3EMwQ4RD4EQ4RHxEnEScRIBEWERARDhEQERQRFhEWERMRDxEKEQYRABD3EO0Q4xDdENwQ4BDmEOsQ7RDrEOgQ5xDoEOgQ4xDYEMQQqRCJEGgQRBAeD/QPyg+jD4QPcQ9qD24Pdw+CD48Pmw+nD7EPtQ+wD6IPjQ91D14PTQ9BDzkPNA8wDysPJA8cDxAPAg7yDuIO1A7LDsMOuw6wDp8Oig51DmIOUw5IDj8ONQ4pDhsODQ4ADfUN7A3kDdsNzw3BDbINpA2bDZgNmw2lDbANuw3ADb8NuA2sDZ0NjQ19DW4NYQ1YDVQNVA1XDVwNYA1kDWkNcQ17DYYNjw2UDZMNjA2ADXANXQ1JDTcNKg0kDSUNKg0uDSwNIA0MDPQM3AzIDLgMrAyhDJcMjQyEDHoMaQxODCUL8gu7C4YLWQsyCwkK2AqaClIKBQm6CXYJNwj6CL4IhghYCD0INwg/CEoISAgvB/8HwQeFB1kHQQc7Bz4HPQcyBxsG/AbaBroGngaEBmoGTgYwBhAF7wXQBbEFlAV4BV0FQQUlBQgE6gTLBKsEiwRpBEgEJQQDA+EDwAOgA4IDZQNIAywDEAL0AtcCuAKYAncCVwI6Ah8CBgHrAcoBogF0AUQBFwDzANYAwACqAJAAcQBQAC8AFP///+z/1/+7/5f/b/9G/yH/Av7l/sj+qP6C/lr+M/4O/e790v24/aD9iP1v/VT9N/0X/PX80fys/In8aPxK/C38Efv2+9r7vfug+4H7YvtB+yD7APrf+r/6nvp/+mD6Qvol+gn56/nM+a35j/lz+Vr5Q/kt+RX4+/jg+MX4rfiY+Ib4dfhj+FD4PPgn+BT4Avfx9+D3z/e/96/3ofeT94P3cfde90v3Ofcr9x73EvcD9vL23vbL9rr2rfah9pX2ifZ69mz2X/ZU9kv2QvY59jH2K/Yq9iz2MfY29jj2NvYy9i32KvYq9iz2L/Yw9jH2MvY09jf2O/Y99j32PfY99kD2RvZN9lP2V/ZX9lb2VfZW9lf2V/ZW9lP2UPZQ9lL2V/Zc9l72X/Zf9mP2bPZ79o32n/ar9rL2tPa09rj2wPbP9uP2+/cT9yr3QPdU92X3dPeB94r3kveW95n3mveb95/3pfeu97j3wvfK99H31ffX99f30vfF97D3k/d091f3Qvc59zz3SfdZ92n3c/d293T3bfdj91n3TvdC9zX3Kfce9xj3GPcc9yT3LPcw9y/3J/cY9wX28Pbd9tD2y/bL9s32zfbK9sf2yvbb9vv3Ifc+9z73FvbG9mD1+/Ww9Yr1hPWO9ZX1jfV19VX1OvUq9Sb1J/Uk9Rn1BfTu9Nb0w/S09Kz0r/TA9OL1EfVG9Xb1mPWp9av1ovWT9X/1ZfVC9Rb05PSx9IH0VfQr8//zz/Ob82nzPPMX8vvy5vLU8sTytvKr8qHymfKR8oryhPKB8oLyiPKQ8pjynvKk8qfyqvKs8qvyp/Kg8prylfKT8pPyk/KO8oXyd/Jq8mHyXfJd8l3yWfJR8kXyOPIv8inyJ/In8ijyKfIr8i/yNPI58jvyO/I78j3yQ/JO8lryZ/Jx8nnygfKL8pfypfKy8r7yx/LP8tjy4/Lv8vzzBvMP8xfzIPMq8zbzRPNQ81rzZPNt83jzhfOT86Lzr/O588DzxfPJ887z1fPc8+bz8vP+9Az0G/Qo9DX0QfRL9Fb0YfRt9Hz0jPSe9LL0x/Td9PP1CPUb9Sz1OvVF9U/1WvVm9XT1g/WS9aH1rvW69cf10/Xg9ev19vX/9gn2FPYj9jT2R/Za9mn2dfZ99oL2hvaL9pH2mfah9qr2tPa89sX2zfbV9t325Pbr9vL2+Pb99wH3A/cE9wT3Afb+9vv2+vb89wP3DfcY9yT3Lvc590T3Ufdh93P3hveW96T3r/e598P3z/fc9+v3+vgI+Bb4I/gu+Dj4QPhI+FD4W/hp+Hn4ifiX+KD4pfin+Kj4qviu+LP4uPi8+L34u/i4+LX4sviw+K/4rviv+LH4tPi3+Lv4vvjC+Mf4zPjR+Nf43Pjf+OL45Pjl+Of47Pj0+QP5GPky+U/5bPmF+Zj5pvmw+bn5wvnN+dj54/nt+fb6AfoN+hz6L/pF+lv6cfqG+pj6qfq4+sb60/rf+un68Pr0+vX69Pry+vL68vrz+vb69/r3+vb68vrt+uf64vre+tv62PrV+tL60PrO+s36zfrO+s/60PrQ+s76yvrE+r36tfqu+qf6o/qf+pz6m/qa+pn6mfqa+pv6nfqe+qD6ofqh+qL6ovqj+qT6p/qq+q36sPqy+rP6s/q0+rb6ufq/+sf60frb+uf69PsD+xL7Ivsx+z/7TftZ+2T7bvt3+337gPuD+4b7j/uf+7j71vvy/AX8C/wE+/b76fvm+/H8CPwh/DT8OPws/BX7+fvj+9X70fvT+9f73Pvh++n7+PwO/Cv8TPxs/Ir8pPy7/NP87P0I/SX9QP1Z/W/9gv2V/aj9u/3N/dv95f3q/ez97/32/gD+Dv4g/jT+Sv5k/n/+mv6y/sT+0v7e/u3/Af8Z/zP/Sv9a/2f/df+M/6//2gAHAC4ASgBdAG0AggCgAMgA8QEXATQBSgFcAXEBiQGlAb4B0gHeAeMB4gHcAdEBvwGmAYcBZgFJATcBMgE/AVwBiAHBAgUCUAKfAvEDQwOTA+IELgR1BLQE5wUOBSkFOQVEBU8FXQVzBZAFsQXSBewF+gX6BekFzAWlBXkFTAUiBPwE3QTFBLIEpASYBI4EhwSGBI8EpQTFBO4FGgVFBW8FlwXBBe4GHQZIBmoGgQaMBo8GkAaWBqMGtwbOBuMG8gb3BvAG4AbJBq0GkgZ5BmIGTQY4BiIGDAX4BekF4QXiBekF9AX+BgUGCAYJBgkGCgYNBhEGFAYXBhwGJQYzBkgGXwZ0BoEGggZ6BmwGYAZaBl4GaAZzBnoGegZ0BmwGZQZiBmMGZQZmBmMGXgZWBlAGSwZJBkwGUwZdBmkGdAZ9BoQGiAaLBowGjAaIBn8GcwZoBmMGaQZ9Bp4Gygb9BzMHbQepB+cIIwhcCI0IswjOCNkIzQikCFcH5wdeBtMGXwYXBgQGHAZLBnUGhAZvBjcF6AWRBT4E9AS1BH8ETwQjA/kDywOUA08C+QKUAiQBtAFRAQsA7wEKAV8B7QKnA3wEVwUjBdIGWwa/BwUHOQdnB5YHyAf6CCEINwg3CCMIAwfkB84HxgfMB9oH6AfzB/gH+gf8CAAIBAgJCA0IEwgcCCsIPQhPCF8IaghxCHoIhQiVCKYItAi8CL4IvwjCCMoI2AjmCPMI+wkBCQcJEgkgCTAJPglKCVUJYAlvCYEJkQmeCaUJqAmsCbMJvwnOCdwJ5gnuCfMJ+goCCgwKFAocCiIKKQoyCjwKRQpLCk4KUgpZCmUKcwp/CoMKfQpuClwKUApKCksKTApGCeIJzAm2CagJpAmoCbEJuAm6CbYJrQmiCZoJlgmYCaAJrAm4CcAJxAnDCb4JuAmwCaUJlgmCCWsJVAlBCTIJJgkZCQoI+QjpCN8I3wjpCPgJBwkQCRIJDgkLCQwJEwkfCSwJOQlGCVMJYwl3CY4Jpgm/CdYJ7goGCh0KNApLCmIKewqWCrUK1ArzCw8LJgs7C08LZguBC54LuQvQC+AL6wvxC/cL/wwKDBkMKww+DFAMXwxqDHEMdwx+DIcMkwyfDKYMpAyZDIcMdgxrDG0MeQyLDJsMpQylDKEMnwykDLMMygzjDPkNCg0VDR4NKA02DUkNYQ17DZYNsw3PDesOBQ4dDjIORA5UDmQOdQ6GDpgOqg67DsoO2w7sDv8PFQ8rD0MPWg9zD40PqQ/ID+kQCRAnEEEQWRBvEIUQmxCvEMAQyxDQENAQzRDKEMkQyRDKEMkQxxDDEL8QuxC6ELcQsxCsEKMQmxCXEJgQnhCnEK0QsBCwEK4QrBCrEKcQoBCUEIMQbhBXED4QIxACD90Ptg+QD3EPXA9RD04PUQ9XD18PaQ90D30PgQ9/D3UPZQ9SD0APMg8oDyAPGg8UDw4PBw7/DvQO5w7ZDskOvA6xDqgOoA6VDoYOdA5fDkwOOw4tDiMOGQ4PDgUN+w3xDekN4g3cDdUNzA3ADbINpQ2bDZgNnQ2rDb4N0Q3eDeMN3g3QDboNoA2DDWcNTQ06DS4NKQ0qDS0NMg02DT0NRw1WDWYNdQ1+DX4NdQ1lDVMNQA0vDSANFQ0LDQUM/wz5DPAM4QzNDLYMnQyGDHIMYwxYDFEMTAxHDEEMNAwcC/cLxwuSC10LLwsHCuAKtgqECkkKBgnBCX0JOgj4CLYIeAhECCEIFAgYCCQIKggeB/wHyAeOB1oHNgckByAHHwcaBwsG8gbSBrAGkAZzBloGQQYnBgoF6gXIBacFhwVqBU8FNQUcBQIE5gTJBKoEigRpBEgEKAQHA+cDyAOpA4kDagNLAy0DEALzAtYCtwKXAncCVwI7AiICCgHwAdEBqwGAAVIBJgD/AN8AwgCmAIkAagBLAC0AE//9/+f/z/+y/5D/a/9H/yX/Bf7m/sb+o/59/lb+Mf4P/fD91f27/aH9h/1s/U/9MP0O/Ov8yPyl/Ib8aPxN/DP8Gfv+++L7xPuk+4P7Yfs/+x36/Prc+rz6nvqB+mT6R/oq+gv56/nK+an5ivlu+Vb5P/ko+RD49vjb+MP4rvic+Iv4efhl+E/4OPgi+A/3/vfu9933zfe896z3nPeM93z3avdX90T3NPcl9xj3Cvb69ub20va/9q/2ovaY9o32gPZy9mX2WPZO9kX2PfY09iv2IvYc9hr2GvYa9hr2GPYV9hL2EfYR9hL2E/YT9hP2FfYZ9h72IvYk9iT2JPYm9ir2MfY49j32PvY99jz2PPY+9kD2QfY+9jn2NPYy9jX2OvY/9kL2QvZB9kP2S/ZZ9mr2e/aH9o32j/aP9pL2m/ar9r/21/bw9wj3Hvcx90D3TfdZ92P3bPdy93b3dvd293f3fPeG95P3n/eo96v3rPes96z3rfep9533h/dp90j3Lfcd9xv3Jfc190T3TvdR90/3SvdD9zr3Lvch9xP3B/b/9v32//cE9wf3CPcH9wP2/Pbx9uH2zva69qr2ovah9qX2qvar9qr2qfau9rj2wvbB9qr2dvYt9dz1mPVv9WL1aPVx9W31V/U19RL09/To9OP03fTR9Lv0nvR99F70Q/Qu9CP0J/Q99Gf0nfTW9QP1HfUi9Rf1AvTq9M70rvSG9Fj0J/P689Lzr/ON82bzOvMM8uHywPKp8pryjfJ98mryV/JJ8kHyPvI+8jvyN/Ix8i7yMPI28j/ySPJO8lDyUfJQ8k/yTvJL8kjyRfJC8kHyPvI68jLyKPId8hTyEPIP8g/yDvII8f/x9PHp8eHx3PHb8dzx4PHn8e7x9fH78f3x/fH88f7yBPIM8hfyIfIp8jHyOfJE8lPyY/Jy8oDyivKU8p7yqvK38sPyzPLT8tfy3fLm8vLzAfMO8xrzI/Mr8zbzQ/NV82jze/OL85fzn/Ol86rzrvO087rzwfPJ89Pz3/Pt8/z0DPQb9Cr0OPRG9FP0YvRx9IL0k/Sl9Lj0y/Td9O/1APUP9R71LPU79Ur1WvVq9Xr1iPWV9aH1rPW39cL1y/XU9d716PXz9gH2EfYh9jD2P/ZN9lr2ZfZw9nr2gvaK9pH2mPaf9qb2rva39sD2yfbS9tr24vbn9uz28Pbz9vb2+Pb59vr2+vb79v73BPcM9xb3IPcr9zT3PfdG90/3Wvdl93D3fPeI95T3ofev9773zffc9+v3+fgF+A/4F/gf+Cn4NvhH+Fn4avh4+IH4hviI+In4iviM+I/4kviU+JT4lPiT+JH4kPiP+I74jviQ+JL4lPiX+Jr4nvij+Kn4sfi5+MD4xfjH+Mj4x/jF+MX4x/jN+Nj46Pj++Rf5MPlE+VP5XPli+Wb5bfl5+Yj5m/mu+cH50vnj+fT6BvoZ+iz6QPpU+mn6f/qV+qv6vvrO+tn63/rf+tv61vrR+s36zPrN+s760PrR+tD6zvrK+sf6xfrE+sT6xfrG+sX6w/rA+rz6uPq1+rT6svqx+q/6rPqp+qX6ofqd+pf6kvqL+oX6fvp6+nf6dvp4+nr6fvqB+oT6hvqH+of6h/qJ+or6jfqR+pT6l/qZ+pr6m/qc+p76ovqn+q/6ufrE+tD63vru+v77Dvsf+y/7PvtM+1n7ZPts+3L7dPt2+3n7gvuQ+6P7uPvJ+9L70fvJ+8D7vPvE+9j79PwP/CH8JPwZ/AT76/vU+8X7vvu9+8D7x/vR+9/78vwK/CX8Qfxc/HT8ivye/LP8yPzf/Pj9Ef0p/T/9U/1m/Xr9jf2f/a/9u/3E/cr90f3b/ej9+f4N/iP+O/5V/nD+i/6l/rv+zP7a/uf+9f8G/xn/K/89/03/YP95/5r/wf/rABEAMABHAFsAcQCMAK0A0QD0ARMBLQFEAVoBcQGJAaIBuAHLAdkB4gHoAegB4gHXAcUBrgGTAXgBXwFMAUEBQwFTAXIBoAHdAiYCfALcA0MDrgQWBHQEwgT9BSYFPwVPBV0FbgWHBagF0QX8BiQGQAZIBjoGEwXZBZUFUgUaBPIE3QTXBNgE2wTaBNYE0QTTBN8E+AUaBUEFZgWIBaUFwgXjBgkGNAZeBoQGoQa0Br8GxQbKBs4G0wbXBtsG3gbeBtsG1QbLBr4GsgapBqQGowaiBp4GlAaFBnMGYgZVBk4GTQZQBlMGVQZXBlgGWQZcBl8GYwZnBmwGdAZ/BowGmgakBqgGpQacBpMGjQaOBpcGpAavBrQGsQamBpYGhwZ8BnYGdgZ5Bn4GgQaBBn8GfAZ5BnkGewaBBogGjgaSBpUGmQaiBq4GvQbKBs4Gxga1BqEGkQaMBpcGsAbRBvcHHwdIB3QHpQfbCBUITAh7CJoIowiRCGYIJQfbB5cHaQdaB2oHkAe8B9wH4wfMB5kHVQcKBsIGggZNBiEF/QXfBcMFqAWJBWEFKQTXBGYD0wMlAmwBwAE+AQEBGQGIAkIDLAQlBRAF0wZlBsgHCAc0B10HiQe5B+UIAwgMCAEH6AfOB70HuwfGB9gH6AfxB/IH7gfqB+kH6gfuB/EH9gf+CAoIGQgrCDwISQhVCGAIbgh/CJEIoQisCLIItQi6CMEIywjWCOAI5gjqCO8I9gkBCQ0JGAkjCSwJNglCCVAJXglqCXQJfgmJCZcJpgm3CcUJ0AnaCeEJ6AntCfAJ8QnxCfMJ+goGChQKIQonCiUKHwoYChQKFQoXChcKFAoNCgUKAQoBCgIJ/wn1Ca8JnQmOCYUJgwmGCYoJjQmNCYsJiQmICYkJjAmQCZMJlgmXCZQJjgmDCXUJYwlOCTYJHAkACOQIzAi6CK4IpwijCKAInwifCKUIsAi/CM8I2gjeCNwI2AjXCNoI4gjtCPgJAgkNCRoJLAlECWAJfQmXCa8JxAnXCe0KBQogCj4KXQp9CpwKtwrOCuAK8AsCCxkLNQtWC3cLkgulC7ALtAu4C78LygvbC+0MAQwSDCIMLgw5DEMMTAxWDGAMagxwDG4MZAxSDD8MMww0DEQMXgx6DI0MkQyIDHkMcAx0DIcMowzCDNsM6wz1DP0NCg0dDTYNUg1sDYQNmg2xDcoN5A3+DhUOKA43DkUOUw5jDnQOhg6YDqgOuQ7KDtwO8A8FDxoPLw9ED1oPcQ+JD6MPvA/VD+wQAxAaEDEQRhBYEGYQbhBzEHYQeRB9EIIQhRCGEIMQfRB1EG8QaxBpEGgQZhBiEF4QWxBaEF4QYxBqEG4QcRBxEHAQbxBsEGcQXhBSEEIQMBAeEA0P+Q/jD8oPrw+VD38Pbw9kD1wPVg9QD0sPSA9HD0gPSQ9GD0APNg8pDxwPEA8GDv0O9A7rDuIO2g7SDsoOwQ63DqwOoQ6XDo4OhA54DmsOWw5IDjUOIg4SDgQN+w30DfAN7A3nDeEN2Q3RDcgNwA23Da0NpA2dDZ0NpQ21DcwN4w31Df0N+g3sDdQNtw2WDXUNVw0/DS8NJw0kDSMNIg0fDR4NIA0oDTQNQA1JDUoNQw03DSkNHg0VDQ0NBQz6DOwM3gzQDMQMtgymDJAMdwxcDEIMLQwdDBUMEAwMDAYL+gvkC8ULnAtsCzsLCQraCq0KfgpNChkJ4gmoCW4JMQjyCLAIbQgwB/8H4AfSB9EH1AfQB78Hnwd2B0sHKAcRBwYHAgb/BvQG4QbFBqQGgwZlBksGMwYcBgMF5gXHBacFhwVqBVAFNwUeBQQE6ATLBKwEjARtBE0ELgQQA/ID1AO1A5QDcgNQAy8DEALyAtQCtQKVAnQCVAI3Ah0CBQHsAdEBsQGLAWIBOQERAO0AygCpAIgAaABJACsAEP/2/9z/wf+j/4T/Zf9F/yX/A/7g/rr+lP5u/kv+K/4O/fP92P28/Z/9gf1j/UT9I/0B/N78u/ya/H38Y/xM/Db8HvwF++n7yvup+4f7ZPtC+yD6/vrd+r36nvqB+mT6R/oq+gz57PnK+an5i/lv+VX5Pfkl+Qv48fjY+ML4sPig+JH4f/hq+FH4OPgh+Az3+vfq99v3y/e696n3l/eG93P3YPdO9zz3K/cd9w72//bt9tr2yPa39qn2nfaS9oX2d/Zn9lj2S/ZB9jn2MfYo9h72FfYN9gj2BfYC9f/1/PX69fr1+/X79fv1+fX39fb19/X79gH2BfYI9gn2CvYN9hP2G/Yg9iL2IPYc9hr2G/Ye9iP2JfYi9h32F/YV9hf2HPYh9iP2I/Yh9iL2KvY39kf2VfZf9mP2Y/Zi9mX2bvZ99pL2q/bG9t/29vcH9xX3H/co9zH3OvdD90j3SfdJ90v3Uvde9273fPeF94X3gfd893z3gPeF94T3d/de9z73HvcI9v/3A/cN9xn3Ifcm9yf3J/ck9x33EfcB9vD24vba9tn22/bb9tn21PbO9sn2xvbC9rj2qPaT9oH2ePZ79oX2j/aT9ov2fPZq9lv2T/ZB9ij2APXL9ZX1afVS9U71VPVX9Uv1MPUL9Of0zPS69K30nfSF9GT0PvQX8/Xz2PPE87zzw/Pd9Af0OfRn9Ib0j/SE9Gv0TfQw9BPz9PPQ86fzf/Nc8z/zKPMP8u/yyfKf8nryXvJO8kPyN/Im8hHx/PHt8efx6PHs8e3x5/Hf8dfx1vHb8ebx8PH38frx+/H68fvx/fH98fvx9vHw8enx4/Hf8dvx1vHR8c3xyfHI8cfxxvHB8brxsPGm8Z3xmPGW8Znxn/Gn8a/xt/G88b7xv/G/8cHxxvHN8dTx2/Hh8enx8/IA8hHyI/I08kLyTvJX8mLybvJ78obyj/KV8pnynvKn8rLywPLN8tny4vLr8vfzBvMZ8y/zRPNX82bzcfN684Dzh/OM85HzlfOZ857zpvOz88Pz2PPt9AP0F/Qp9Dn0R/RU9GH0bvR69If0lPSj9LL0wvTT9OX09/UK9R31MPVD9VT1ZfVz9YD1i/WW9aD1qfWy9bv1xPXM9dT13fXo9fX2BPYU9ib2N/ZH9lT2XvZm9m72dfZ99ob2j/aZ9qP2rPa19r32w/bH9sr2zPbQ9tb23fbl9u328/b49v33A/cL9xT3Hfcl9yn3Kvcq9yn3LPcz9z/3Tvde92/3fveM95n3pfez98H3zvfb9+b38ff8+An4GPgp+Dr4SfhU+Fz4YPhj+GX4Zvho+Gn4avhq+Gn4afho+Gj4afhq+Gz4b/hy+HX4ePh5+Hn4evh7+ID4hviN+JT4m/if+KP4p/ir+LH4t/i/+Mf40vje+Or49fj9+QH5AvkC+QT5Dfkc+TL5S/ll+X35kvmj+bL5v/nM+dn56Pn6+g/6KPpF+mP6gPqY+qj6sfqz+rD6rPqo+qb6pvqn+qn6qvqq+qn6p/qk+qL6ofqi+qP6pvqo+qn6p/qk+qD6m/qW+pH6jfqJ+ob6hPqC+oL6gfqB+oD6fvp7+nf6c/pu+mr6aPpm+mb6Z/po+mr6bPpt+m36bvpw+nL6dfp5+nz6fvp/+oD6gPqB+oT6iPqO+pf6ofqt+rr6yPrX+uf69/sH+xj7KPs3+0X7UftY+137Xvte+2H7aPt0+4P7k/ug+6X7pfuh+577o/ux+8j74vv5/Aj8C/wC+/L73/vM+7z7svut+677tfvD+9b77vwI/CP8PfxU/Gn8e/yK/Jj8pvy1/Mj83fz0/Qr9IP00/UX9Vv1m/Xb9hf2T/Z/9q/24/cj92/3y/gv+Jf5A/lz+eP6U/q3+wv7T/uH+7f76/wj/F/8o/zv/UP9o/4T/pP/I/+sADQArAEYAXwB5AJUAswDRAPABDQEoAUEBWAFtAYIBlQGpAb0BzwHeAeoB8AHxAe0B4wHVAcIBrAGVAYABcAFoAWoBdgGNAbEB5QIsAocC9QNwA+4EZwTPBSAFWAV5BYkFkgWcBa0FygXwBhoGPQZPBkgGJQXqBaIFXAUiBP8E8gT5BQkFGgUnBTAFOAVEBVkFdgWZBbwF3AX2Bg0GJAY+Bl4GgQakBsMG3QbxBwAHCwcUBxoHHQcbBxcHEAcHBvsG7gbgBtQGzgbQBtsG7Ab8BwYHBAb0BtoGvAaiBo8GhgaEBocGjAaQBpMGlgaaBp8GpgavBrcGwAbHBssGzAbKBsQGvQa3BrQGswa2BroGvQa9BrgGsAalBpkGjgaGBoIGgwaJBpIGmwaiBqUGpAahBp8GnwakBqsGsga5Br4GxQbPBuAG9gcKBxcHGAcOBv8G8QbtBvQHBwceBzMHRAdRB18HcweSB7kH5AgLCCgINgg0CCcIEgf/B/IH8Qf7CA8IKAg/CE8IUwhKCDQIFQfzB9IHtAeaB4QHcAdeB00HQgc8BzsHNAcYBtQGVQWVBJsDggJxAZQBEQD9AVkCEgMFBAsFAAXLBmEGxQcGBzMHWweEB6sHywfdB98H1QfIB8IHxwfWB+kH+Af+B/oH8gfpB+UH5QfnB+oH7AfvB/YIAggSCCQINQhDCE4IWQhlCHIIgAiMCJYInQiiCKcIrAiwCLUIuAi8CMIIygjVCOEI7gj5CQQJDQkXCSIJLQk7CUoJWwltCYAJkgmiCbAJvQnLCdoJ5wnwCfEJ7AnjCd0J3gnoCfYKAwoHCgAJ8AndCcwJwAm6CbgJtwm4CboJvwnFCckJxwm+CYsJfglyCWgJYQlcCVcJUwlRCVQJWwlmCXIJfAmBCYEJewlwCWIJUAk5CSAJBAjnCMoIsAiYCIQIdQhrCGYIZghpCG4IdAh7CIMIjQiXCJ4IogiiCKAInwihCKcIsAi6CMMIzQjZCOgI/gkYCTYJUglrCYIJlgmrCcMJ3wn9Ch0KPQpbCnUKigqbCqoKugrPCusLCwstC0sLYQttC3QLeAuAC40LnguyC8QL0wvfC+sL+AwGDBUMIwwuDDQMNww0DCwMHwwRDAYMAwwNDCQMQAxaDGgMZwxaDEsMQwxJDF8MfgydDLUMxQzQDNwM7g0HDSQNQQ1ZDW0Nfw2SDagNwg3bDfEOAw4RDhwOKA43DkgOWg5sDn4OkA6iDrUOyQ7dDvEPAw8VDycPOg9ND2EPdQ+ID50Psw/JD98P8xAEEBAQGBAdECEQJxAtEDQQOBA6EDgQMxAtECcQIhAfEB4QHhAfECAQIxAmECkQLBAtEC4QLRAtEC4QLhAtECgQIBATEAMP8w/jD9MPxA+0D6MPkg+BD3QPaA9eD1MPRw85DysPHw8WDxEPDg8MDwcPAA71DukO3Q7SDsgOvw63DrAOqA6hDpsOlg6RDowOhQ58DnIOZQ5YDksOPQ4uDh4ODQ38De8N5Q3hDd8N3g3aDdENxg26DbANqQ2kDaENnw2eDaINrQ3ADdgN8Q4GDhIOEg4JDfgN4g3IDa4Nlg2BDXINaA1hDVoNUA1BDTANIA0WDRINEw0WDRYNEw0PDQwNDA0ODQ8NCgz+DOwM2AzFDLYMqQyaDIcMbQxODDAMFgwDC/gL7wvlC9cLxQutC5MLdQtUCy8LBArUCp8KZgotCfQJvQmICVMJHQjlCKkIbAgwB/oHzwexB6EHmQeVB4wHewdhB0EHHwcDBu8G4gbaBtEGwwauBpMGdQZXBjsGIgYLBfQF2wXABaUFigVxBVkFQgUqBRAE8gTTBLIEkARvBFAEMQQUA/cD2gO7A5kDdQNRAy4DDQLtAs4CrgKOAm0CTQIuAhIB+AHeAcQBpgGFAWIBPAEWAPAAygCkAIAAXQA8AB0AAP/k/8j/rP+Q/3X/Wv8+/yD+/f7W/qz+hP5f/j/+JP4L/fH91f22/Zb9d/1Y/Tr9G/z7/Nn8tvyU/Hb8XfxH/DP8HfwE++j7yPun+4T7YvtB+yD6/vrd+rv6mvp6+lz6Pvoh+gT55vnI+ar5jvlz+Vr5Qfkn+Qv48PjX+MH4rvif+I/4ffho+FD4N/ge+An39vfl99X3xfe096P3kPd992n3VfdB9y/3H/cP9wD28Pbf9s72vvaw9qT2mPaK9nv2avZZ9kr2PfYy9ij2HvYU9gr2AfX79ff18/Xv9er15vXj9eL14/Xk9eT14fXd9dv12/Xe9eL15vXn9ej16fXt9fT1+/YA9gH1/vX69ff1+PX99gL2BPYD9f71+fX49fr1/vYB9gH1/fX69fv2A/YQ9h/2LPY09jf2NfYz9jT2O/ZI9lz2dfaR9q72x/bb9un28/b69wL3C/cT9xj3GvcZ9xv3Ivcw90P3VPdd91z3VfdO9033VPdf92b3YfdN9y/3Dfby9uP24Pbk9uz29Pb79wL3B/cJ9wT29/bj9s32vPaz9rH2sfau9qj2n/aY9pf2mfab9pb2h/Zx9l/2V/Zd9mv2dPZt9lH2JvX49db1xvXG9cn1xfWy9ZP1cfVV9UX1PPU09SP1CfTo9Mb0qfSS9Hv0YvRB9Bvz8/PO867zlPOC83nze/OL86jzy/Po8/fz9PPf88HzovOG827zVfM48xfy9vLZ8sPysvKf8ofyZ/JD8iLyCPH48ezx4PHQ8b3xqvGe8ZrxnPGf8Z3xlPGJ8YDxfvGF8ZDxnPGl8anxqvGs8a/xs/G18bLxqvGf8ZTxjPGI8YjxifGI8Ybxg/F/8Xvxd/Fz8W3xZvFf8VrxV/FY8VzxY/Fq8XLxd/F78X3xfvGA8YPxh/GM8ZLxlvGb8aPxrfG88c3x4PHx8f/yCvIU8h/yK/I58kbyUvJa8mHyZ/Jv8njygfKL8pTynfKn8rXyx/Lc8vLzCPMa8ynzNvNB80vzVfNf82fzbPNw83Tze/OG85fzrPPF897z9vQK9Bv0KfQ19ED0SvRT9F30Z/Rx9H30ivSa9Kz0v/TT9Oj0/vUU9Sn1PPVO9V31a/V29YH1ivWT9Zz1o/Wq9bD1tvW99cb10vXg9e/1//YN9hr2JfYv9jv2RvZT9mD2bPZ39oH2i/aU9pz2ovam9qj2qfas9rH2uPbC9sz21vbf9uj28fb69wT3DPcR9xH3DPcE9v72/PcB9w73IPc190n3W/dq93j3hfeS96D3rve798f30/ff9+z3+vgJ+Bb4Ifgp+C/4M/g3+Dr4PfhA+EH4QPg/+D34PPg9+D74P/hB+ET4R/hL+E/4UfhS+FL4UfhR+FT4Wfhf+Gb4bfhz+Hv4g/iO+Jr4pfiw+Lj4vvjE+Mj4yvjL+Mn4x/jF+Mb4zvjc+O/5Bfkb+S75PvlL+VX5Xflk+Wz5dfmC+ZP5qvnH+ef6B/ok+jv6S/pV+lr6X/pj+mj6bfpz+nf6evp7+nz6fPp8+nz6e/p6+nn6ePp1+nT6cvpx+nD6b/pt+mv6Z/pj+l/6W/pY+lb6VfpU+lX6V/pa+l36YPpi+mL6Yfpe+lv6WPpW+lX6VPpU+lX6VvpY+lv6X/ph+mT6ZPpk+mP6Yvpj+mX6avpw+nn6g/qO+pz6qvq6+sv63Prt+v77D/sf+y77OvtC+0b7RvtG+0f7S/tV+2P7cft9+4X7ifuL+4/7mfuo+7z70Pvg++r77Pvn+9770vvF+7j7rfum+6X7q/u6+8/76fwF/B/8OPxN/F/8bfx4/ID8h/yR/J/8sfzJ/OH8+P0L/Rr9J/00/UL9Uv1i/XH9f/2O/aD9tv3Q/e/+Dv4u/kz+aP6D/pz+s/7G/tb+5P7w/v3/C/8c/y7/Q/9Y/27/iP+l/8X/5wAKACwASgBkAH0AlgCwAM0A7AEKASUBPQFRAWMBdQGJAaABtwHOAeEB8AH6Af8CAQH/AfkB8AHlAdgBzQHDAboBswGuAa4BuQHWAgwCYgLUA1wD7QR4BO8FSgWFBaQFrwWzBbgFxgXcBfgGDwYbBhMF9wXLBZcFZgVABSsFJwUvBT8FUQVjBXQFhwWeBboF2gX7BhgGMgZIBl0GcwaNBqkGxQbdBvIHAQcOBxsHKQc5B0kHVgdfB2IHWwdMBzQHFgb4Bt8G1AbZBu4HDAcpBz0HQAcxBxQG8QbSBrwGsQavBrMGtwa7BrwGvAa+BsMGzgbeBu8HAAcKBw0HCAb+BvMG6gbmBucG6QboBuIG1gbHBrkGrgapBqkGrAavBrEGtAa3BrwGwQbFBsYGwwa9BrgGuAa+BskG1gbiBusG8gb7BwcHFwcoBzcHPwdABz0HOwdAB04HYQd0B4EHhQeCB30HfAeEB5UHqwfCB9UH4gfqB/EH+wgICBcIJwg1CD4IRQhLCFAIVghcCGEIYwhiCGAIXQhZCFIIRgg0CCAIEQgNCBkIMQhDCDcH8QdcBncFTwQIAtEB2AFBAR4BbgIcAwYEBwT7BckGZAbPBxQHQgdlB4UHoQe4B8YHzQfRB9YH4AfvB/wIBQgEB/oH7gfjB90H3QfhB+QH5gfnB+sH9ggGCBoILQg8CEUISwhPCFUIXghpCHUIfgiECIcIhwiHCIgIiwiRCJoIpQiyCMEIzwjcCOkI9Aj9CQcJEQkfCTAJRAlaCW8JfwmNCZkJqAm6CdAJ5gn1CfkJ8wnnCdsJ1gnbCeYJ8Qn1Ce4J3QnICbMJpAmaCZYJkwmTCZUJmAmcCZ8JnQmXCWUJWQlNCUAJNAkoCR0JFwkWCR0JKwk7CUoJUglSCUkJOQkmCRAI+QjgCMUIqwiTCH8IbwhkCF0IWAhVCFQIVAhWCFgIWwhdCF8IYQhiCGMIZAhlCGgIbAhxCHcIfgiFCI0IlgijCLYIzgjoCQMJHQk1CUsJYwl9CZsJugnaCfgKFAosCkEKVQpoCnwKkwquCs0K7QsICx4LKwszCzkLQwtSC2YLeguMC5cLngujC6wLugvOC+IL8gv7C/wL9wvuC+UL3gvZC9kL4AvuDAIMFwwpDDIMMAwnDB8MHgwqDEAMXQx5DI8MnwysDLwM0gzuDQwNKQ1BDVQNZg15DY8Npg27DcwN2A3hDeoN9Q4EDhYOKQ48Dk4OYQ51DooOnw6zDsYO1w7nDvYPBw8YDyoPPA9OD2EPdQ+JD50Prg+9D8gP0A/WD9sP4A/lD+oP7g/wD/EP8A/uD+oP5Q/hD94P3g/hD+cP7Q/zD/cP9w/1D/IP8A/wD/EP8Q/wD+oP4Q/UD8UPtQ+lD5YPiA96D2sPXQ9QD0QPOQ8uDyMPFg8HDvkO6w7hDtsO1g7SDs4Oxg67Dq4Oog6YDpEOjQ6KDocOgg58DnYOcQ5tDmkOZA5dDlIORQ43DioOIA4WDgwOAA3yDeYN2w3VDdANyw3EDbgNqg2eDZUNkg2TDZUNmA2bDaANqw2/DdgN9A4NDh4OJw4oDiQOHA4RDgQN9Q3nDdsN0Q3JDb4NrQ2TDXINUA0yDRwNEA0MDQwNDw0TDRoNIw0rDS4NKQ0ZDQEM5gzNDLkMqQyaDIUMawxNDDAMGQwJC/0L7wvcC8ELoQuAC2ULUAtACy0LEgrsCrsKgApCCgQJxwmNCVMJGgjhCKkIcgg+CA4H5AfBB6cHlgeKB4EHdAdgB0MHIAb7BtoGwQaxBqUGnAaOBnwGZAZJBi0GEgX4Bd8FxgWuBZcFgQVuBVoFRwUwBRcE+QTYBLUEkARtBEsEKwQNA/AD0wO1A5QDcQNMAygDBALiAsICogKDAmUCRgIoAgsB7gHRAbMBlAF0AVMBMQENAOgAwQCZAHIASwAoAAf/6f/M/7H/l/9//2f/UP83/xr+9/7P/qX+ff5Z/jv+IP4G/er9y/2q/Yj9af1N/TP9GPz8/Nv8ufyW/Hf8XfxG/DH8G/wB++P7wvue+3r7WPs3+xj6+PrY+rj6lvp1+lT6NfoX+fr53fnB+af5jfl1+V35Q/kp+Q348fjW+L/4q/iZ+Ij4dfhg+En4Mfga+AT38fff9873vvet95v3iPd092D3S/c49yb3FfcF9vX25PbU9sT2tvao9pv2jvZ/9m72XfZN9kD2NPYp9h32EPYC9fb17fXo9eX14vXe9dj10fXL9cj1yPXJ9cn1xvXD9cH1wfXD9cb1x/XH9cb1xfXI9c711vXc9d/13vXc9dr13PXg9eP15PXh9d312vXb9d714fXi9d/12fXU9dX13PXo9ff2A/YL9g32C/YJ9gn2DfYX9ij2QPZc9nv2l/au9r72yfbR9tn24vbq9u727vbs9uv28fb/9xP3Jfcw9zH3Kvcj9yH3Kfc390H3Qvcz9xj2+fbd9sr2wvbD9sj2z/bZ9uP27fby9u323fbG9q32m/aR9o72jfaJ9oH2ePZz9nX2fPaB9nz2bPZV9kP2PfZG9lH2T/Yw9fL1ovVX9Sr1J/VJ9X31qfW79a71iPVb9TL1FvUD9PP03vTE9KX0hvRn9Ej0JvQC89zzufOb84Hza/NY80fzO/M48z/zTfNb82DzWfNG8yvzEPL58uTy0PK48pzyf/Jk8k/yP/Iw8h/yCPHt8dLxu/Go8ZrxjfF/8XHxZPFd8VrxWfFX8VHxRvE78TPxM/E68UbxUPFX8VnxWfFb8V/xZPFn8WXxXfFS8UfxP/E98T7xQPFA8T3xN/Ew8SnxJPEg8RzxGfEX8RbxGPEc8SLxKfEw8TXxOfE88T7xQPFD8UbxS/FP8VPxV/Fb8WDxafF18YTxlPGi8bDxvPHI8dXx5PH08gTyEvIf8inyMfI38j3yQvJH8kzyVPJg8nDyhPKb8rLyx/LX8uXy8PL88wjzFvMl8zLzPfNG807zV/Ni83HzhfOb87PzyfPd8+7z/PQH9BL0HfQn9DH0O/RF9FD0XfRr9Hv0jfSg9LT0yfTd9PL1B/Ub9S31PvVM9Vj1Y/Vs9XX1fvWG9Y71lvWd9aX1rfW29b/1yPXR9dr15PXx9f/2D/Yg9jD2PfZJ9lP2XfZn9nL2fPaF9ov2jvaR9pP2l/ad9qX2rfa19r72x/bR9tv24/bn9ub24PbY9tH2zvbR9tz27fcB9xX3J/c490n3Wfdp93r3iveZ96b3sve998j31Pff9+n38vf49/34AvgH+Az4EPgS+BP4EvgQ+A/4D/gQ+BH4E/gV+Bf4Gvgd+CD4I/gm+Cf4Kfgs+DD4N/g9+EP4SfhP+Fb4X/hp+HX4gPiK+JP4mfig+Kb4rPiw+LT4tfi2+Lj4vPjD+M342Pjj+O349fj8+QP5CfkP+RP5GPkd+SX5MvlD+Vn5cfmJ+Z/5svnD+dP54vny+gH6D/oa+iT6K/oy+jr6QfpJ+lD6VPpT+k/6R/o/+jf6M/oy+jX6Ofo9+j/6QPo/+j36Ofo0+i/6Kfoj+h76Hvoh+ij6Mfo7+kL6R/pI+kf6RPpB+j/6Pfo8+jz6PvpA+kP6R/pK+kv6SvpI+kX6Q/pD+kb6SvpQ+lj6YPpr+nj6iPqb+q76wvrV+ub69/sG+xX7Ifsr+zH7NPs2+zj7PPtD+077Wftk+277dft8+4T7kPue+637vPvG+837z/vN+8r7xPu9+7T7qvuj+6H7pvuz+8f74Pv6/BT8LPxA/FL8Xvxn/Gz8cfx4/IX8mfyy/Mz84/z1/QL9C/0V/SH9MP0//U79XP1q/Xz9k/2w/dP9+f4c/jz+V/5v/oX+m/6w/sP+1f7k/vP/Af8S/yP/Nv9K/1//df+P/6z/zv/wABMAMQBMAGMAeQCRAKwAyQDoAQQBHgE0AUcBWwFyAYsBpQG/AdYB6QH5AgYCEAIZAiACIwIkAiMCIQIfAhwCFgINAgAB9QHzAgUCMgJ+AucDZQPpBGYE0gUlBWEFigWnBb4F0gXiBewF6wXfBcgFqgWNBXUFZQVfBWAFZQVsBXMFewWHBZcFrQXJBecGBQYgBjgGTQZiBnkGkwawBswG5Ab3BwQHCwcSBxoHJwc5B1EHageCB5IHlgeMB3EHSwciBv4G6QbnBvYHEQcrBz0HQQc1Bx8HBwbyBucG4wblBugG6QbkBtoGzwbHBsYG0AbkBv4HGAcsBzUHMwcpBx8HGQcbByMHKgcrByEHDgb2BuEG1QbUBt0G6QbzBvgG9wb0Bu8G6wbnBuAG1wbNBsUGwwbJBtYG5gb2BwEHCAcNBxQHHwcsBzsHRwdOB1IHVgdcB2gHeQeKB5gHoAehB58HnQeeB6QHrQe4B8MHzgfcB+0IAwgbCDMIRghTCFkIXAhfCGYIcQh/CIwIlwieCKMIpgipCKcInQiJCG0IUQg+CD0ITwhrCHsIZggUB3gGlAV6BEoDKwJCAa4BgAG7AlEDJwQcBQsF2QZ2BuEHIgdKB2YHfweYB7EHxgfXB+UH8Af6CAAIAAf4B+oH2wfPB8oHywfRB9gH3QfiB+kH9QgHCBwIMQhACEgISghICEcISwhUCF8IaQhvCHEIcQhwCHMIeQiCCI4ImwinCLMIwAjOCNwI6Qj0CP4JCAkUCSQJOQlPCWQJdAmACYkJlAmlCbsJ0gnkCe0J6gngCdUJ0AnUCd0J6AntCeoJ3gnNCb0JrwmlCZwJlAmMCYUJgAl8CXkJdQluCTkJLQkfCRAJAAjyCOgI4wjmCPEI/wkOCRcJFwkMCPkI4QjICLEInAiICHYIZghZCFAISwhICEYIQwg/CDkIMwguCCoIKAgmCCQIJAgkCCYIKggwCDgIPwhFCEkITAhPCFUIYAhwCIUIngi3CM8I5Qj7CRMJLwlPCXMJlgm2CdIJ6Qn9ChAKJQo9ClgKdgqVCrMKzArgCu0K9gr9CwcLFwsrC0ILVQtgC2ULZgtpC3MLhgudC7MLwgvGC8ELtwuuC6kLqguwC7kLxAvQC9wL6AvyC/cL+Qv4C/oMAgwSDCkMQgxZDG0MfQyNDKAMtwzSDO4NCg0jDTkNTw1lDXsNjQ2bDaQNqA2sDbMNvw3PDeMN+A4MDh8OMw5IDl4OdA6JDpsOqw67DsoO2w7tDwAPFA8oDzoPTA9cD2sPdw+CD4wPlA+cD6IPpw+qD6wPrg+wD7QPtw+4D7YPsQ+rD6YPpA+mD60PtQ+8D8APwQ+/D70PvA+7D7sPuQ+1D60Pow+XD4oPfA9vD2EPUw9EDzYPJw8ZDwwO/w7zDugO3Q7RDsUOug6wDqcOnw6ZDpIOiw6BDncObg5pDmcOaQ5rDmwOaQ5iDlgOTw5HDkIOPQ43Di4OIw4YDg8OCA4EDf8N9w3sDeAN0w3IDb4NtA2pDZ0NkQ2JDYYNiA2NDZENkw2TDZUNng2vDcoN6A4FDh0OLQ44Dj4OQQ5BDjwONQ4rDiEOGQ4TDgoN+Q3dDbcNjA1kDUUNMw0tDTANOQ1DDUwNVA1XDVMNRQ0tDQ0M6wzMDLIMngyLDHYMXgxEDC4MHgwVDA4MAAvnC8ELlAtpC0gLNAsrCyYLGgsDCt0KrQp2CjsJ/wnACX0JNwjxCK8IdAhBCBUH7wfNB68HmAeGB3oHbQdcB0MHIAb3Bs4GqwaQBn8GdQZtBmIGUwY+BiUGCQXtBdEFtgWdBYYFcgVfBU4FOwUnBQ4E8QTSBK8EiwRmBEIEIAQAA+IDxQOoA4oDaQNGAyEC/ALYArYClQJ3AloCPgIiAgYB6QHJAagBhgFlAUQBJAEDAOAAugCRAGcAPQAX//T/1v+6/6H/if9y/1z/Rf8s/xD+7v7I/qH+ev5X/jf+G/3+/d/9vv2b/Xr9XP1D/Sz9FPz6/Nv8ufyY/Hn8XvxH/DH8Gvv++977uvuU+2/7TPss+w768vrU+rb6lvp1+lT6NPoU+fX52Pm9+aP5ivlz+Vv5Qfkm+Qv47/jV+L74qfiV+IL4bfhY+EL4K/gV9//36/fY98b3tPej95L3f/ds91j3RPcx9x/3D/b+9u723fbM9rz2rvag9pH2gvZx9mD2UPZC9jf2LvYj9hb2BvX19eb12/XV9dL1z/XL9cT1u/W09a/1rfWt9az1qvWo9ab1pvWn9an1qfWn9aT1ovWk9aj1r/W29br1vfW99b71v/XB9cH1wPW99bn1uPW59b31wPXB9b31t/Wy9bL1ufXF9dH13PXj9eX15PXi9eL15fXt9fv2EPYr9kn2ZfZ99o72mfai9qv2tfa+9sP2w/a/9r32wvbP9uL29fcC9wT2/fb29vP2+/cI9xb3G/cT9v/25fbM9rn2rvaq9qz2sva99sn21PbY9tL2wPam9o32e/Zy9nD2b/Zr9mH2WPZV9ln2YfZm9l72TPY09iP2IPYp9i72GfXd9Xv1CfSp9Hr0jfTX9Tr1kfW+9bf1iPVH9Qz05fTR9Mf0vPSp9Iz0afRC9Brz8/PM86jzh/Nt81fzRPMu8xby/vLp8tzy2PLZ8try1PLF8rDymPKB8mzyWfJD8ivyEfH48eTx1vHL8cHxtPGi8YzxdvFh8U/xQPE18SvxJPEf8RzxGPES8QrxAPD38PPw9fD78QPxCfEL8QrxCfEJ8Q3xEvEV8RTxD/EH8QDw+vD48Pjw9/D08O7w5/Df8Nnw1vDU8NPw0/DT8NXw2fDf8Ofw7vD18Prw/vEB8QPxBvEJ8Q3xEfEV8RjxG/Ee8SPxKPEw8TrxRfFS8WDxbvF88YzxnfGt8b7xzvHc8ejx8/H68gDyBPII8gzyFPIf8i/yQ/JZ8m7ygfKQ8p3yqPKz8sDyz/Lg8vHzAfMQ8x7zK/M480fzWPNr837zkvOk87Tzw/PQ89zz6fP19AL0DvQa9Cf0NfRE9FT0ZfR39Ij0mPSo9Lj0yvTc9O/1AfUT9SL1MPU79Ub1UfVc9Wj1c/V+9Yf1j/WU9Zj1nPWh9af1sPW99cv13PXs9fv2CPYS9hz2JvYy9kD2TvZb9mb2bvZy9nX2ePZ79n/2hfaK9o/2lfab9qH2p/ar9q32rPap9qb2pPal9qr2tPbA9s723fbt9v73Efcl9zr3Tvdg93D3fveK95b3ofes97b3v/fG98330vfX99z33/fh9+H34Pff99733/fh9+P35vfp9+z37vfx9/X3+ff9+AH4B/gN+BT4G/gi+Cj4Lvgy+Dj4PvhE+Ez4U/hZ+GD4aPhx+H34iviX+KL4qviv+LP4tvi5+L74wvjH+M340vjZ+N/45vjs+O/48fjw+O747fjt+PD49/kA+Qz5Gvkr+T/5VPlq+X/5kvmi+a/5uvnH+db55/n5+gr6F/od+hz6FfoL+gH5+vn2+ff5+vn9+gD6A/oF+gf6CPoH+gT5/vn1+ez55vnl+er58/n/+gv6FPob+h76H/of+h76Hfoc+hz6Hvoh+ib6K/ov+jH6MPot+in6J/on+ir6Lvo0+jv6Q/pO+lz6bvqC+pj6rvrC+tL64Prs+vj7BPsP+xr7I/sq+zD7Nvs9+0T7TPtU+1v7Y/tq+3P7f/uM+5n7pfuu+7T7t/u4+7j7tfux+6v7pPuf+537ovuu+8H71/vw/An8IPw1/Ef8VPxc/GD8ZPxr/Hj8jPyl/MD81/zp/Pb8//0I/RX9I/0z/UH9Tv1Z/Wj9fP2Y/br93v4B/iD+Ov5Q/mb+ff6V/q7+xf7a/uv++v8J/xr/Lf9B/1j/cP+J/6X/wv/g//0AGAAxAEYAXABzAIwApwDDAN8A+QESASoBQgFbAXUBjwGoAb8B1AHpAf0CEgInAjgCRQJOAlMCVwJcAmMCaQJtAmwCZQJdAlkCYgJ9Aq4C9ANIA6QEAgRcBLEFAAVKBYsFvgXfBecF2AW3BY4FaQVSBU0FWQVuBYQFlQWdBZ8FoAWnBbQFygXkBf8GFgYqBjsGTQZiBn0Gmwa7BtkG8gcGBxQHHgclBy0HOAdHB1wHdQeQB6gHtwe4B6oHjgdrB0kHLgcgBxwHIAcjByMHHgcVBwwHCAcMBxQHHwcoByoHIgcRBvkG3wbJBr0GvwbOBugHBQcdBysHLQcpByQHJgcxB0MHVQdeB1oHSAcwBxkHCwcIBxAHGgcjByYHIwcbBxIHCAb/BvUG6AbcBtIGzgbTBt8G7wb/BwwHFQcbByMHLwc+B04HXAdmB2kHaAdnB2kHcQd/B5AHoweyB74HxgfKB80H0QfWB94H6Qf5CAsIIQg3CEwIXQhrCHYIgQiNCJsIqgi4CMIIxwjICMYIxgjGCMYIwQizCJ0IgQhnCFYIUwhZCGAIVwguB9YHSAaGBZoEmAObAsICKgHsAhIClQNdBEcFLgXzBoYG5wcgB0QHXwd7B5kHtQfNB94H6AftB+4H6wfjB9gHzAfCB70HvwfFB84H2AfiB+0H+wgOCCMINwhGCE0ITQhJCEYIRghKCFIIWwhgCGQIZQhoCG4IeAiFCJEImwijCKoIswi/CM8I3wjuCPoJBAkPCR4JMglKCWEJdAmACYcJjAmUCaAJsAm/CcgJygnHCcMJwQnGCc4J1wnbCdgJzgnBCbIJpQmZCY0Jggl1CWkJXwlXCVAJSglCCQsI/gjvCN8IzwjCCLgItgi6CMUI0gjdCOEI2wjLCLQImwiCCGwIWghMCEAINggvCCgIIwgdCBYIDAgAB/QH6QfgB9sH2QfaB94H4gfoB/AH+ggDCAsIEQgVCBcIGAgcCCQIMwhHCF4IdwiOCKIItQjJCOEJAAkkCUwJcgmUCbAJxQnXCekJ/goXCjMKUgpvCogKnQqrCrYKwArMCtsK7gsDCxYLJAssCzALNAs9C00LZAt7C40LlQuTC4sLgQt9C38LiAuTC58LpwuuC7ILtwu7C8ALxgvNC9cL5Qv4DA4MJgw8DE8MYAxxDIQMmgyzDM0M5w0BDRsNNA1LDV8NbQ11DXcNdw16DYENjw2hDbYNyw3fDfIOBg4bDjEOSA5cDm8OgA6QDqIOtQ7KDuAO9w8MDx8PLg86D0MPSg9RD1gPYA9oD3APdA91D3UPdA91D3gPfQ+BD4IPfw95D3QPcQ9zD3gPfw+FD4gPiQ+ID4gPiA+HD4UPgA95D3APZw9eD1UPSw9ADzQPJg8XDwgO+Q7rDt4O0Q7GDrwOsg6pDp4OkQ6DDnQOZw5dDlYOUg5PDksOSA5HDkgOTA5QDlIOTg5FDjcOKQ4eDhYOEQ4ODgkOAw39DfgN9A3xDe4N6A3eDdANwg2zDacNnA2SDYkNgw2BDYMNiA2NDY8NjQ2JDYcNjQ2dDbUN0Q3sDgMOEg4cDiIOJQ4kDh4OFA4JDgAN/A38DfwN9g3lDccNog19DWANUQ1QDVkNZQ1vDXQNcw1rDVoNQQ0gDPkM0wywDJQMfgxrDFgMQwwvDB4MFAwQDAwMAQvoC8ILkwtlC0ILLQslCyELGgsJCu0KxwqcCm0KOgn/CboJbAkZCMkIgAhDCBEH5ge/B5wHfgdnB1cHSwdBBzAHFwb1Bs0GpgaFBm4GXwZXBlEGSAY5BiUGCwXuBc8FsQWVBXwFZQVRBT0FKQUSBPkE3QTABKAEfwRcBDkEFwP2A9gDuwOfA4MDZQNFAyIC/gLYArMCkAJvAlACMwIYAfwB3wHAAZ4BewFYATcBFwD3ANYAsQCIAFwAMAAI/+T/x/+t/5b/f/9o/0//Nf8a/vz+2/64/pP+b/5M/iv+DP3u/c79rv2O/XD9VP08/SX9DPzx/NL8sfyR/HP8WvxD/Cz8FPv3+9X7sPuL+2b7Rfsm+wn67frR+rP6lfp1+lX6NPoU+fX51/m7+aL5iflx+Vf5Pfkh+Qb46/jT+L34qPiU+H74aPhR+Dn4I/gN9/j34/fP97z3qfeX94b3dPdh9073O/cp9xf3B/b39ub21fbE9rT2pfaW9of2d/Zl9lP2QvY09in2IPYV9gn1+fXn9df1y/XD9b71uvW19a71pvWf9Zr1l/WW9ZP1j/WL9Yf1hfWF9YX1hPWC9X/1ffV+9YH1hvWL9Y/1kvWU9ZX1l/WZ9Zn1l/WT9ZD1kPWS9Zb1mPWZ9Zb1kvWP9ZH1l/Wi9a31tfW69bz1vPW69br1vfXD9dD14/X89hj2MvZI9lj2Y/Zs9nb2gfaM9pP2lPaS9pD2lPag9rP2xvbS9tX2z/bG9sL2yPbV9uX27/bw9uX20va99qn2mvaQ9o32kfab9qj2tPa59rH2nvaF9mz2W/ZT9lH2T/ZJ9j72NfYy9jX2PPY+9jT2H/YH9fn1+fYA9fz11vWB9Qb0gPQa8/b0IfSL9Q71efWt9aD1Y/UU9NP0rfSj9Kb0pvSY9Hr0UvQl8/rz0POn83/zW/M88yPzDvL68uLyx/Kq8pLygfJ48nPybPJf8kvyMvIZ8gLx7fHb8cjxs/Gf8Y/xgvF68XPxavFc8UnxMvEc8Qjw+PDu8Obw4fDd8Njw0vDK8MPwvPC48LbwuPC78L7wv/C/8L7wvfC+8MHww/DF8MTwwfC88Lfws/Cv8Kzwp/Ch8JrwlfCS8JHwkvCT8JTwlPCV8JfwnPCi8KrwsvC58MDwxfDJ8MzwzvDR8NPw1fDY8Nvw3/Dj8Ofw6/Dw8Pfw//EL8RjxJ/E38UfxWPFo8XfxhvGV8aPxsPG88cbxz/HW8d3x5fHu8fryB/IX8ifyN/JH8lXyY/Jw8n7yjfKd8q/ywfLT8uXy9vMG8xbzJfM180bzV/Np83rzivOZ86jztfPD89Dz3vPr8/r0CvQb9C30QPRR9GH0b/R79Ib0kvSf9K/0wfTU9Ob09vUF9RP1IfUv9T31TPVZ9WX1bvV09Xj1fPWA9Yb1jvWZ9ab1tPXB9cz11vXf9ej18vX99gr2GPYm9jL2O/ZC9kj2TfZS9lj2XfZh9mT2ZfZm9mf2afZt9nH2dfZ49nn2efZ59nn2e/Z+9oT2jPaX9qT2tPbH9t329fcM9yL3NfdH91b3ZPdx9333iPeR95n3n/ek96f3qver96v3q/er96v3rPeu97L3t/e798D3xPfJ98330/fY99/35/fu9/b3/fgD+An4D/gV+Bv4Ifgn+Cz4L/gz+Df4PfhG+FH4Xvhs+Hn4hPiM+JT4mvih+Kn4sfi6+MP4y/jT+Nv44fjn+Or46vjo+OL42vjR+Mf4vvi5+Lj4vPjG+NT45vj5+Qz5HPkq+TX5QPlM+Vz5b/mG+Z35svnC+cv5zfnK+cT5vfm2+bD5q/ml+aH5n/mh+ab5r/m4+b/5wvnA+bv5tvm0+bb5vPnG+dD52/nj+en57Pnu+e/57/nv+fD58/n4+gD6B/oN+hH6EfoP+gz6C/oM+hD6Ffoc+iT6Lvo6+kn6Xfpz+on6n/qx+sD6yvrU+tz65vry+v77C/sW+yD7Kfsx+zj7P/tF+0v7UPtW+177aPtz+3/7i/uV+537o/um+6j7p/ul+6P7oPug+6P7qvu3+8j73fv0/Az8I/w3/En8Vfxb/F78YPxk/G78gPyX/LD8yPzb/Ov8+P0F/RX9Jv03/Ub9Uv1b/Wb9dP2J/aP9wP3d/fj+Ef4p/kP+X/5//p7+u/7U/uf+9v8E/xP/Jf87/1T/bv+J/6P/u//S/+j//QASACgAPwBXAHAAiQCiALwA1QDvAQoBJQFAAVkBcAGGAZoBsAHIAeQCAwIhAj0CUgJgAmkCbwJ4AoUClwKsAr8CzALQAs4CyALEAsgC1wL0Ax4DVQOZA+kERASmBQYFWgWWBbMFrwWTBWoFRQUwBTIFRwVnBYgFowW0Bb0FxQXQBeIF+AYPBiQGNQZBBk4GXgZ0Bo8GrgbOBuwHBwcfBzUHSAdZB2YHcQd6B4MHjwedB64HvAfGB8cHwAeyB58Hiwd2B2AHSQcxBxoHCAb/BwIHEQcoB0IHWAdlB2UHWAdBByIHAQbkBtAGyAbOBt4G8gcEBw4HEQcQBxAHGQcrB0QHXAdrB20HYQdNBzgHKQcjByUHKwcwBzIHLwcpByIHGwcSBwgG/QbxBucG5AboBvIHAQcRBx8HKwc1B0EHTwdhB3QHhAeOB5EHjgeHB4IHgweNB54HtQfMB94H6gfwB/IH9Af4CAEIDggeCC4IPghNCFsIaQh5CIkImwiuCMAI0AjcCOQI6AjnCOQI4gjhCOEI4AjcCNQIxwi2CKQIkgiACG0IUwgtB/EHmQcdBnkFrwTKA+EDEgJ/AkICaALpA6wEjAVjBhYGmQbuByQHSAdnB4UHoQe3B8UHzQfQB9EH0gfSB9EHzAfHB8IHwQfEB8sH1QfiB+8H/ggPCCEIMghACEcISQhGCEIIQAhBCEYITAhRCFUIWQheCGYIcQh9CIcIjwiUCJgInwirCL0I0AjjCPEI/AkGCRQJKQlCCV4JdQmECYoJiQmHCYgJjgmYCaIJqQmtCa8JrwmxCbMJtAmwCagJmgmJCXgJaAlbCVAJRgk9CTUJLgkpCSMJHQkVCNcIygi+CLAIowiXCI8IjAiPCJcIoQipCKsIpwibCIkIdAhfCE0IPAgtCCEIFAgIB/wH7wfhB9IHwwe0B6gHngeZB5cHmgefB6cHsQe8B8cH0QfYB94H4QfjB+UH6QfyB/8IEQgoCD8IVghrCHwIjAifCLYI1Qj6CSQJTAlvCYsJoAmxCcIJ1gnuCgkKJQo+ClQKZQp0CoIKkQqjCrYKyQrZCuUK7Qr1Cv0LCwsdCzMLSQtZC2ALYAtaC1QLUwtYC2ILbgt5C4ALgwuEC4QLhwuMC5ILmgukC7ELwgvYC/AMCQwgDDQMRgxXDGkMfQyUDK0MxwzhDPoNEw0oDTgNQw1IDUoNTA1RDVsNag19DZANow21DccN2g3uDgMOGA4sDj8OUQ5kDngOjg6mDr4O1g7sDv4PDA8WDx0PIQ8mDysPMw87D0EPRA9DDz8POw85DzsPQA9GD0oPSw9KD0gPSA9KD04PUg9VD1cPVg9WD1YPVg9UD08PSA8/DzYPLw8qDyQPHg8UDwYO9g7nDtgOzA7ADrUOqw6iDpkOkQ6IDnwObA5YDkMOMQ4lDiEOIg4mDioOLQ4uDi4OMA4xDjEOLA4iDhQOBA33De4N6g3oDegN5g3kDeAN3Q3aDdYNzg3EDbYNqA2bDZANiA2CDX0New18DX8Ngg2FDYUNgg1+DXwNgA2MDZwNrQ27DcMNxg3EDcENug2wDaENjw19DXINcQ16DYgNlA2WDYsNdQ1dDUkNQQ1FDVANXQ1kDWQNWw1JDTENEwzwDMkMowyDDGkMVgxHDDkMKQwZDAoL/gv3C/AL5AvPC68LiQtkC0YLNAssCyYLHAsJCuwKygqmCoIKWwotCfMJrAlbCQgIuAhwCDIH+gfHB5cHbAdIBy4HHwcWBw4HAQbqBswGqgaIBm0GXAZSBk0GSAY+BiwGEgXyBc8FrAWNBXEFWgVEBS4FFgT7BN4EwQSkBIYEaQRLBC0EDgPwA9MDtwOdA4IDZwNJAykDBwLjAr0ClwJyAk0CLAIMAe8B0QGxAY8BawFGASIBAADfAL0AmABwAEQAGf/y/9H/tv+g/4v/dv9d/0L/JP8E/uT+w/6h/n7+W/45/hn9+v3c/b/9o/2H/W39U/07/SH9Bvzo/Mj8qPyI/Gz8U/w7/CL8B/vo+8f7pPuB+2H7Qvsl+wj66vrL+qv6i/pr+kz6LfoO+fD51Pm6+aL5ivlx+Vf5O/kd+QH45/jP+Lr4pfiQ+Hn4YPhH+C/4GfgE9+/32/fG97L3nveL93n3Z/dV90L3L/cc9wv2+vbq9tr2yfa49qj2mfaL9n32bfZc9kn2NvYl9hf2C/YA9fP15vXX9cn1vfW09a71p/Wg9Zj1kfWK9YX1gvV/9Xr1dPVt9Wf1YvVg9V71XfVb9Vn1V/VX9Vn1W/Ve9WD1YvVj9WX1aPVr9Wz1bPVr9Wn1aPVp9Wv1bPVs9Wr1aPVo9Wv1cvV89Yb1jvWU9Zb1lvWU9ZL1kvWW9aH1s/XM9ej2AvYX9iX2L/Y49kP2T/Zb9mP2ZvZk9mL2ZvZx9oP2lvaj9qf2ofaY9pP2lvah9rH2wPbH9sX2ufan9pL2f/Zw9mj2afZz9oL2kfaY9pP2gfZo9lH2QPY39jP2LvYm9hr2EPYL9g72EvYQ9gP17vXY9c31z/XT9cb1kvUt9KX0HPO+863z8PRw9P71avWS9XT1J/TP9I70cvR29IT0i/R89Fr0LvQA89fzsfOJ81/zMvMI8ubyzfK68qjyk/J68l7yRfIz8iXyGPIK8fbx3fHD8avxmPGH8XnxafFZ8UnxO/Ew8SbxG/EN8Pvw5vDR8L/wsfCo8KHwnPCV8I7whvCA8HvwePB28HXwc/Bx8G/wb/Bv8HLwdvB58HzwfPB68HbwcvBu8GrwZvBg8FnwUvBL8EfwRvBI8EzwUPBT8FTwVfBV8FjwXPBj8GvwdPB98IXwjPCS8JXwl/CY8Jfwl/CY8Jrwn/Ck8KnwrvCz8LrwwvDM8Njw5/D28QXxFPEj8TLxQvFR8WHxcvGC8ZHxn/Gs8bbxvvHE8cnxz/HW8eHx7vH/8hHyI/I18kXyVfJl8nbyiPKb8q/ywvLU8uTy9PMC8xLzIvMz80TzVvNm83Xzg/OQ853zq/O688nz2/Pu9AH0FfQo9Dn0SPRT9F30ZvRv9Hv0ivSa9Kz0vvTP9N/07/T+9Q71HvUt9Tv1R/VQ9Vf1XvVk9Wv1dPV+9Yj1kvWb9aT1rPW09bz1xfXO9dj14vXs9fX1/vYF9g32FfYe9if2L/Y19jf2N/Y19jT2M/Y19jr2QfZG9kr2TPZK9kj2RvZF9kb2SPZM9lL2W/Zp9nv2kvar9sX23fbz9wX3Fvcl9zP3QPdM91b3Xvdk92n3bvdx93T3dvd493n3evd894D3hfeK95D3lfea95/3pfes97T3vffF98331Pfb9+P36/f09/34BvgN+BP4F/ga+B74Ifgm+Cz4M/g7+EP4S/hU+F74avh2+IT4k/ih+K74ufjB+Mf4y/jN+ND40vjU+NX40/jO+Mb4vPiy+Kv4p/io+Kz4tPi9+MX4zvjU+Nr44Pjm+O/4+vkK+Rz5MPlE+VX5Yvlq+Wz5a/ll+Vv5T/lD+Tf5L/ku+TP5PvlN+Vz5aPlx+XX5ePl7+X/5hvmP+Zj5oPmo+a75s/m2+bn5uvm8+b75w/nK+dP52/nj+ef56fno+ej56Pnr+fD59/n/+gr6Fvom+jf6S/ph+nb6ivqa+qj6tPq9+sb60PrZ+uP67vr4+wL7C/sV+x77J/sv+zX7O/tA+0b7TPtU+177avt1+4H7ivuR+5b7mvuc+6D7pfur+7T7v/vN+9z77vwC/Bf8LvxD/FT8Yfxn/Gj8aPxp/G78evyM/KL8ufzP/OL89P0G/Rn9LP0+/U79W/1k/W39eP2F/ZX9qf2+/dT97P4H/ib+Sf5t/pH+sf7L/uD+7/78/wr/HP8y/0v/Zv+A/5f/q/+8/8z/3v/yAAkAIgA9AFgAcQCIAKAAuADSAO0BCQEkAT0BUgFmAXkBjwGpAcgB6wIOAi8CSwJfAm4CeQKFApYCrQLKAuoDCAMgAy8DNAMyAy0DKQMoAy4DPgNaA4YDwwQRBGkEwgUQBUgFZAVlBVQFPQUuBSwFOwVWBXYFlQWwBccF3gX2BhAGKQZABlMGYAZrBngGigahBrwG2Qb1Bw8HKQdCB10HeAeRB6UHsQe1B7MHrwerB6sHrwe3B8AHyAfOB80Hxge2B5wHfAdYBzcHIAcXBx4HMgdNB2gHfQeHB4YHegdoB1AHOAchBxAHBQcCBwYHDAcSBxQHFAcUBxgHJAc2B0wHYAdsB2wHYwdTB0QHOQc1BzYHOgc+B0EHQAc9BzkHNAcsByIHFgcLBwIG/wcCBwoHFgcjBzAHOwdGB1IHYAdwB4IHlAehB6oHrAerB6kHqgeyB8AH0gflB/QH/QgBCAMIBggNCBoIKQg4CEYIUQhbCGUIcgiCCJQIpgi3CMcI1QjjCPAI/AkFCQsJDAkKCQYJAwkBCP4I+gjzCOYI0wi5CJcIbQg8CAEHugdeBucGTgWTBMED7gM4AsACnQLXA2IEIgTzBbQGUQbBBwoHOgddB3gHkAehB6wHsQe0B7cHvgfHB9AH1AfTB80HxwfDB8QHywfXB+QH8wgCCBEIHwgsCDYIOwg8CDsIOQg6CD0IQwhJCE4IUQhVCFkIXwhnCHAIdwh9CIQIjQiaCKwIwAjSCOEI7Qj3CQUJGgk0CVEJawl7CYAJewlzCW4Jbwl3CYQJkQmaCZ0JmgmTCYoJfwlzCWMJUgk/CSwJHAkQCQcJAwkACP4I/Aj4CPMI6wjiCJ4IlQiNCIUIfgh2CHAIbQhtCG8Icgh2CHYIcwhsCGEIVAhFCDQIJAgTCAMH8gfhB9AHvgeuB58HkweLB4YHgweDB4MHhQeJB44HlgefB6gHrwe0B7YHuAe6B78HyAfVB+QH9wgLCCAINQhHCFkIagh9CJUIswjXCP4JJAlGCWAJdAmECZUJqwnFCeIJ/woXCisKPApLClwKcAqGCpoKqgqzCrkKvQrGCtUK6wsECxkLJwsqCyULHAsXCxoLJQs2C0gLVAtaC1sLWQtYC1sLYgtqC3ILeguDC5ALogu7C9cL8wwMDCEMMQxADFAMZAx7DJQMrwzIDN4M8g0CDQ4NFg0cDSENKA0yDT8NTw1gDXENgg2SDaINtA3GDdgN6g37Dg0OHw40DkoOYw57DpMOqg6+Ds8O3g7pDvEO9w79DwMPCg8SDxcPGQ8WDxAPCg8GDwYPCQ8PDxQPGA8bDx4PIQ8lDykPLQ8vDy8PLw8vDy8PLg8qDyQPGg8QDwcPAQ79DvkO8g7mDtYOxQ61DqgOnw6XDo8Ohg58DnMOag5fDlIOQQ4sDhYOBA36DfgN/g4IDhAOFA4UDhMOEQ4PDg4OCg4CDfYN6A3bDdINzQ3LDcwNzA3KDcgNxA3ADboNsQ2nDZsNjw2GDX8New14DXUNcw1xDW8Nbw1vDW8Nbw1uDW8NcA1yDXINbw1nDVsNTA0/DTINJA0TDPwM4QzIDLcMtAzBDNoM9Q0JDRENDQ0BDPcM8wz3DQANCA0NDQoNAAzxDN0MxQypDIoMawxPDDoMLAwkDB0MFAwIC/kL6gvcC88LwAurC5ALcgtWC0ALMwssCyYLGgsFCucKxAqgCoAKYgpBChkJ5gmoCWIJGgjUCJAITwgOB80HjgdWBygHCAb1BukG3gbPBrgGnQaABmcGVwZPBk0GSwZDBjIGFQXvBcQFmwV3BVoFQwUvBRkE/wThBMEEoASBBGQESgQxBBkEAQPoA88DtgOdA4IDZgNJAysDDALqAscCoQJ6AlICKwIHAeUBxAGjAX8BWAEvAQYA3wC5AJUAcABKACP//P/Z/7z/pf+S/4D/bP9T/zb/Fv70/tL+sP6P/m3+TP4r/gz97v3S/bf9nv2F/Wz9U/05/R79Avzj/MP8o/yF/Gn8T/w1/Br7+/vb+7n7mPt5+1z7Qfsl+wf65/rF+qL6gPpf+kD6I/oG+er50Pm4+aH5ivly+Vf5Ovkb+P744/jL+Lb4ofiL+HL4WPg/+Cb4Eff99+r31vfC96z3l/eD93D3XfdL9zf3JPcR9v727fbc9sz2u/aq9pr2i/Z+9nH2Y/ZT9kH2LvYb9gr1+/Xu9eH11PXI9bz1sfWo9Z/1l/WO9YT1e/Vz9Wz1ZvVh9Vv1VfVO9Uj1Q/VA9T71O/U59Tb1NfU09TX1NvU39Tf1OPU49Tr1PfVB9UT1RvVG9UX1RPVD9UP1Q/VC9UH1QfVB9UX1S/VU9V71Z/Vv9XT1dfVz9W71avVq9XL1gvWb9bj10/Xp9fn2A/YM9hb2IvYu9jb2OPY29jT2NvY/9lD2Y/Zx9nj2dvZv9mn2aPZv9nz2ivaV9pj2lPaI9nb2YvZQ9kT2RPZN9l/2cPZ79nn2a/ZV9j32LPYg9hn2EfYG9fn17vXp9en16fXk9db1wfWw9an1rfWu9Zn1WfTp9F3z2POG84fz3fRp9Pv1YPV69Uz08fSU9FT0PvRI9Fn0XfRI9B/z7fPA853zgPNg8zjzBvLT8qfyiPJ28mryXfJJ8i7yEfH18d/xzvG+8a3xmPGC8W3xWvFK8TvxK/EZ8QXw8fDf8M/wwPCx8KHwkfCC8HXwbPBl8F/wV/BO8ETwPfA48DbwN/A28DPwLfAl8B/wHPAf8CXwLfAy8DTwMvAt8CjwI/Ag8B3wGfAT8AvwBO//7/3v/vAC8AfwCvAM8A3wDfAQ8BTwG/Aj8CzwNfA+8EfwUPBX8FzwXvBe8FzwWvBa8FzwYPBl8GrwcPB38H7whvCQ8JrwpvCz8MDwz/Dg8PHxA/EV8SfxOPFJ8VrxavF58YXxj/GU8ZfxmvGe8aXxsfHB8dXx6vH+8hDyIfIx8kLyVPJo8n3ykfKl8rbyxfLU8uLy8PMA8xHzIvMy80HzT/Nc82rzePOI85rzrPO/89Pz5vP59Av0G/Qp9DX0P/RI9FH0XPRp9Hn0ifSa9Kv0u/TK9Nr06vT69Qn1F/Uj9S71OPVB9Ur1U/Vd9Wb1bvV29X31hPWM9ZP1m/Wi9ar1sfW59cD1x/XP9db13vXn9fD1+fYA9gX2B/YH9gX2BfYH9gz2EvYX9hv2HPYc9hr2GPYX9hf2F/YX9hf2GfYg9iv2PPZS9mj2fvaR9qL2sfbA9s/23vbt9vv3B/cS9xz3Jvcv9zf3PvdE90f3SvdN91D3Vfda91/3Y/dm92r3b/d29373iPeS95v3pPet97f3wvfN99j34vfr9/L3+ff/+Ab4C/gP+BL4FPgX+Br4IPgo+DL4PvhL+Fj4Zvhz+H74iPiO+JH4kviS+JT4mvii+K34t/i++ML4wvi/+Lv4t/iz+K/4rPip+Kj4p/ip+Kv4rPit+K34rviw+Lb4wPjO+N347Pj4+QD5BPkE+QD4+vjy+Ov45vjl+Of47fj2+P/5B/kO+RT5G/ki+Sz5NvlC+U35WPli+Wv5c/l6+YD5hPmI+Y75lPmc+aT5rPmy+bb5uPm4+bn5u/m/+cX5zfnX+eT59PoH+hv6L/pD+lX6Zvp2+ob6lfqk+rH6vfrF+sv60PrU+tr64vrr+vf7A/sO+xf7Hvsj+yf7K/sx+zn7Q/tQ+177a/t2+4D7ifuS+537qfu3+8T70fvd++j79PwD/BX8K/xB/Ff8aPx0/Hr8fPx9/IH8iPyV/Kb8ufzN/OH89P0I/Rv9Lf0//U/9XP1o/XP9fv2I/ZT9of2w/cL92f31/hX+OP5c/n7+nf63/sz+3v7u/v7/Ef8n/z7/V/9u/4L/kv+h/6//v//U/+0ACgAnAEMAXAByAIgAnwC4ANMA7wELASUBPAFRAWYBfQGXAbUB1QH4AhoCOwJXAnAChAKXAqsCwgLfAwADJANHA2gDggOXA6YDsAO1A7cDtQOzA7YDxgPmBBoEXQSoBO4FJQVHBVQFUQVIBUMFRwVVBW0FiQWpBckF6AYIBicGRAZdBnIGhAaWBqoGwQbbBvYHEAcnBzwHUAdlB3wHlQetB8AHzAfPB8sHwQe2B60HqQerB7EHuwfFB80HzQfGB7UHnQeDB2sHWwdWB1sHZwd1B4IHiQeKB4cHgQd6B3IHagdjB1sHVQdPB0sHRwdDBz8HPgdAB0gHVAdjB3EHewd9B3kHbwdlB14HWwdcB2AHZAdnB2gHZwdkB18HVwdOB0IHNgcrByMHHgceByAHJQcsBzIHOgdBB0kHUwdgB28HgAeRB6EHrQe1B7sHwAfHB9EH3QfpB/QH+wgBCAcIEAgcCCsIOghGCFAIVwhgCGwIfQiPCKEIsAi7CMYI0gjiCPcJDwkkCTIJOAk2CS8JJgkdCRQJCwkBCPMI4gjNCLEIjghgCCYH4QeMByYGqQYTBWYEqwP5A2kDFwMUA2QD9wSxBW8GFwaYBvAHKAdMB2cHfQePB50HpAeoB60HtQfAB8wH0wfUB80Hwge3B7EHswe7B8gH1gfkB/MIAQgPCBwIJggsCC8IMAgyCDcIPghGCEwITwhOCEwITAhPCFYIYAhqCHUIfwiKCJcIpQizCMAIzQjaCOsJAQkcCTcJTglcCV4JVglLCUMJRQlPCWAJcAl6CXoJcQlgCU4JPAktCR8JEgkFCPgI7AjjCN0I2wjaCNgI0wjMCMEItQipCGwIZwhkCGIIYAhdCFoIVghSCE4ISQhECD0INgguCCUIGwgRCAQH9gfoB9gHyAe3B6gHmgePB4gHhgeIB40HkgeTB5EHjQeJB4YHhweMB5IHlwebB54HoQemB64HuAfGB9QH4wfyCAMIFggqCD8IVQhsCIYIowjECOYJBgkhCTYJRQlUCWcJgQmiCcYJ5woDChYKJAoxCkEKVQprCn8KjAqSCpQKlwqhCrYK0QrrCv0LAQr5CukK3ArbCucK/gsYCy0LOAs6CzYLNAs4C0ILTwtbC2QLaAttC3gLiwumC8YL5gwADBMMIQwtDDwMUAxpDIUMnwy2DMgM1gzgDOgM7gz1DP4NCA0VDSQNNA1EDVQNZQ11DYYNlw2nDbUNwg3PDd4N7w4DDhoOMw5LDmIOdg6JDpkOpw60Dr8OyA7QDtgO4Q7pDu8O8g7xDu0O5w7jDuAO4Q7jDuYO6Q7sDu8O9A76Dv8PBA8GDwgPCQ8LDwwPDA8IDwIO+A7uDuUO3g7ZDtQOyg68DqwOmw6MDoMOfA52Dm4OZA5WDkgOOg4tDh8OEQ4BDfEN5A3eDd4N5Q3tDfQN9w31DfIN7w3tDe0N6w3mDd0N0Q3EDbsNtQ2zDbMNsw2yDa8Nqw2mDZ8Nlg2MDYINeg10DXANbw1tDWoNZQ1eDVgNVA1SDVMNVQ1XDVYNUA1EDTENFwz6DN4Mxwy2DKwMogyUDH4MXww/DCYMGwwjDDsMWgx2DIgMjgyKDIIMfAx6DHwMfwyADH4Megx0DGwMYQxTDEAMKwwXDAgL/wv7C/sL+AvyC+gL3AvOC8ALrwubC4ELZAtHCy8LIAsZCxQLDAr7CuEKvwqbCnkKWwpBCiUKBAncCasJdQk7CP0IvAh2CCoH3AeQB0wHFAbrBs4GuQalBo8GdgZdBkgGPAY5BjwGPwY7BioGCgXeBa0FfgVXBToFJAUSBP8E5gTIBKYEgwRiBEUELAQWBAID7gPaA8UDrwOXA3sDXQM+Ax4C/gLeAr4CmwJ2Ak4CJwICAd4BvAGYAXIBRwEaAOsAvwCVAHAATAAqAAj/5//I/67/mP+F/3P/X/9G/yn/Cf7m/sT+o/6C/mL+Qv4j/gX96f3O/bT9mv2A/Wb9S/0w/RT8+Pza/Lz8nvyC/Gf8Tfwz/Bb79/vV+7P7kftz+1f7Pfsi+wX65frC+p/6ffpd+j/6IvoG+er5z/m2+Z75hvlt+VP5NvkZ+Pz44fjK+LT4n/iI+G/4VPg6+CL4Dff69+f31Pe+96j3kvd892n3VvdE9zD3G/cH9vP24PbO9r72rfac9oz2ffZu9mH2U/ZF9jX2JPYS9gH18PXh9dL1xPW39av1oPWW9Y31hPV79XD1ZfVa9U/1RvU+9Tf1MvUt9Sn1J/Uk9SL1H/Uc9Rj1FvUV9RX1FfUW9RX1FfUV9RX1GPUa9R31H/Uf9R/1HvUd9Rz1HfUe9R71HvUf9SH1JPUr9TT1PvVJ9VH1VPVS9Uv1Q/U/9UP1UfVp9Yb1ofW49cj10vXa9eT17/X69gL2BvYE9gL2AvYK9hj2KfY59kT2RvZE9j/2PPY+9kX2T/Za9mL2ZfZi9lf2SPY39iv2J/Yu9j32T/Zc9l32UvY/9in2FvYI9fz18fXk9df1zfXH9cb1w/W79av1mPWK9Yj1j/WQ9Xb1L/S49Cfzo/NX82DzvvRR9Of1TPVm9Tb02fR69Dj0HvQj9C70KPQJ89XznPNt807zOPMi8wDy0/Kf8nHyT/I88jLyKPIX8f3x3PG78aDxjPF98XHxYvFS8UDxLfEa8Qbw8PDY8L7wpPCN8HrwafBb8E/wQ/A68DLwLPAm8B7wFPAJ7//v+O/27/jv++/87/jv7+/k79rv1u/X793v5O/p7+nv5u/g79vv2e/X79bv0+/O78jvwu+/777vwO/C78TvxO/D78Pvxu/L79Lv2u/i7+rv8e/58ALwC/AT8BnwHfAf8CDwIfAi8CXwKPAs8DHwNvA88EPwS/BU8F3wZvBw8HzwivCc8LDwxfDZ8Ovw/PEL8RrxKvE58UjxVPFd8WTxavFw8XnxhfGU8aXxt/HJ8dnx6vH68gvyH/Iz8knyXvJz8obylvKl8rPywfLQ8t/y7/L+8wzzGvMo8zfzSPNa823zgfOT86XztfPF89bz5/P39Ab0FPQf9Cn0MvQ+9Er0WfRp9Hj0iPSW9KX0tPTE9NP04vTw9Pz1B/US9R31KPUz9T31R/VQ9Vj1XvVk9Wv1cfV39X71hfWO9Zb1nvWm9az1sfW29bv1wPXG9cv10PXS9dT11/Xa9d/15fXq9e718PXw9fD18PXx9fL18/Xz9fL18vXz9fn2AvYO9hv2J/Yy9jv2RfZQ9l72bvZ/9pD2oPav9r72zvbd9uv2+PcC9wn3D/cV9xz3JPcr9zH3Nvc59zz3QPdG9073V/dg92n3cvd894f3kved96f3sPe498D3yvfU99/36vfy9/j3/Pf/+AT4C/gT+Bz4JPgr+DH4Nvg8+EL4SPhN+E/4UPhQ+FP4Wvhm+HX4hviW+KT4rfi0+Lf4t/i0+K74p/ie+Jf4lPiT+JX4l/iY+Jb4kfiL+If4hfiH+Iz4kviX+Jz4ofim+Kz4tPi++Mf4z/jU+Nb41fjQ+Mn4wvi8+Ln4ufi++Mb40vjg+O/4/vkO+R35K/k3+UH5SvlR+Vn5Yflq+XP5evmA+YT5hvmJ+Yv5jvmS+Zf5nfmn+bX5x/nc+fL6B/oa+ir6OPpH+lj6a/p/+pH6oPqo+qz6rfqu+rH6t/rB+s762/rn+vH6+fr/+wP7B/sO+xb7Ifsu+z37S/ta+2j7dvuG+5b7qPu5+8f70fvX+9v74Pvq+/n8Dvwo/ET8Xfxy/IL8jfyV/Jv8o/yr/Lb8wvzR/OD88f0C/RP9I/0z/UP9Uv1i/XH9f/2L/Zf9ov2v/b/90/3s/gn+J/5G/mT+gP6a/rL+yP7e/vP/CP8d/zH/Rf9Y/2n/eP+G/5X/qP++/9n/9wAUADAASABdAHEAhQCcALYA0gDuAQoBJQE+AVYBbwGIAaMBwAHgAgICJgJMAnACkQKuAsgC4QL7AxgDOgNfA4UDqwPQA/MEEwQtBD8ERwREBDsEMgQ1BEgEcASqBOsFKAVYBXMFfQV5BXMFcQV4BYkFogW+BdsF9wYSBi0GSAZkBoAGnQa7BtgG9QcQBykHPgdQB2AHbgd9B40HnQetB7oHxAfIB8kHxwfEB8AHvge+B78HwgfEB8QHwge8B7QHqQefB5gHlAeUB5UHlgeVB5AHiQeCB3wHeAd4B3oHfQeAB4EHgAd8B3cHcAdqB2UHZQdqB3QHgQeNB5YHmQeYB5MHjQeLB4sHjgeTB5YHlweVB5IHjQeHB4EHeQdvB2YHXAdUB04HSQdEB0AHPQc7BzsHPQdCB0kHUQdcB2gHdweIB5gHpgexB7kHvgfDB8oH0gfdB+kH9QgCCBAIHwguCDwIRghMCFEIVghgCHEIhQibCK0IuQjBCMkI1QjoCQEJHAkzCUIJSQlKCUYJQQk5CS0JHAkFCO4I2wjNCMMItAiZCGsIJwfSB20G/QZ/BfIFVASvBBYDowNvA4kD7gSKBT0F5wZxBtEHDAcxB0wHZweBB5cHpwevB7MHtge8B8QHygfJB8EHswekB5kHlQeZB6IHrge7B8gH1gflB/QIAQgJCAwIDAgNCBEIGQgjCCsILggtCCgIJAglCCwIOAhGCFEIWQhdCGAIZQhtCHkIiQidCLUIzwjqCQQJFwkhCSAJFgkKCQIJAwkOCR8JLwk2CTMJJAkPCPoI6QjfCNsI2gjZCNYI0QjLCMYIwgi9CLUIqwieCI8IgAh0CEUIQwhDCEEIPwg8CDkINAguCCUIGggLB/wH7QfgB9UHzQfGB74HtgesB6IHlweMB4IHewd3B3gHgAeLB5cHoAejB54HlAeIB38HfAd9B4MHiQePB5QHmQegB6kHtQfBB80H2AfkB/MIBQgcCDUIUAhsCIkIpwjFCOII+wkNCRoJIwkuCUAJXQmDCa0J0wnvCgEKCwoTCiAKMgpIClsKaAptCm0KcQp+CpcKtgrSCuMK4wrVCsEKswq0CsUK4Ar9CxILHAscCxoLHAsnCzgLSQtWC1sLWwtcC2QLeAuWC7gL2QvyDAQMDwwbDCoMQAxbDHcMkAykDLMMvAzCDMgMzgzVDN8M6wz4DQcNFw0nDTcNSQ1ZDWoNeQ2HDZINmw2kDbANvw3SDekOAg4aDjAORA5VDmUOdA6BDowOlg6fDqgOsg67DsQOyg7MDswOyQ7FDsIOwA6/Dr4Ovg6/DsEOxQ7LDtEO1g7ZDtsO3Q7fDuEO4g7hDtwO1Q7NDsUOvg63Dq8OpA6VDoUOdg5qDmMOXg5YDk8OQQ4wDh0OCg38DfAN5g3dDdUNzw3MDc0Nzw3TDdQN1A3RDc4NzQ3NDc4NzQ3IDb8NtA2oDaANmw2ZDZkNmg2ZDZYNkg2LDYQNew1yDWkNYg1eDV0NXQ1bDVcNUA1HDT8NOQ02DTYNNw01DS4NHg0FDOQMvgyYDHkMZAxbDFwMXwxdDE8MNgwUC/UL4QvdC+kMAAwXDCgMLQwoDB0MEQwHDAAL/Av5C/cL9gv2C/cL+Av2C/EL6AveC9UL0QvQC9IL0wvTC9ALzQvJC8QLvAusC5QLdAtQCy4LFQsGCv8K+QrwCt0KvwqcCnYKUgo0ChkJ/gniCcEJmwlvCT4JBgjGCHwIKwfXB4UHPAb/Bs8GqQaJBmsGTgYyBhwGDwYMBhEGGAYXBgkF6wXBBZAFYQU6BR4FCQT5BOcE0AS0BJQEcgRTBDYEGwQEA+0D2APEA7ADmwODA2cDSAMmAwMC4QLAAqACfwJcAjgCFAHxAc8BrgGKAWMBNgEGANUApgB7AFYANgAY//v/3v/B/6f/j/94/2L/S/8x/xT+9P7T/rL+kf5x/lL+M/4W/fr94P3G/az9kf11/Vj9O/0f/QP85/zL/K78kvx3/F78Rvwt/BL79PvT+6/7jPts+077M/sY+v363/q/+p/6gPpi+kX6KfoL+e750Pmz+Zj5f/ll+Ur5L/kS+Pf43vjH+LL4nfiH+G34U/g4+B/4Cff19+H3zfe295/3iPdz91/3Tfc79yf3Efb69uT2z/a99qz2nPaN9n32bfZd9k32PvYv9h/2EPYA9fD14PXQ9b/1rvWe9Y/1gvV49XD1afVh9Vj1TfVB9TX1KfUe9Rb1EPUM9Qn1BvUE9QL0/vT79Pf09PTz9PL08vTy9PH08fTw9PD08PTx9PL08/Tz9PL08fTw9PH08/T29Pj0+vT79Pv0/fUA9Qb1D/UZ9SP1KPUn9SH1GPUS9RT1IPU19VD1avWA9Y71mPWf9ab1sfW89cX1y/XN9c31zvXT9d717PX89gj2EPYS9hH2D/YN9g72E/Yc9if2MvY59jj2MPYi9hT2DPYN9hj2JvYy9jb2L/Yg9gz1+fXn9dj1yPW69a31pfWi9aH1nvWU9YL1bvVi9WL1bPVv9Vf1EPSZ9AbzffMp8yrzgPQR9Kv1G/VF9ST01PR49DH0DvQF9APz9PPN85TzVvMh8v7y6PLV8rvyl/Js8kTyJfIT8gjx/fHs8dHxr/GM8W7xWPFJ8T3xMfEj8RLw/vDp8NHwt/Ca8H3wYfBJ8DbwJvAa8A/wBu/97/bv7+/n793v0u/G77zvt++377vvwO/D78Dvue+v76bvoe+h76Pvpu+n76Tvn++a75fvlu+W75bvk++P74vviO+H74jvie+J74fvhe+C74Pvh++O75Xvne+i76fvq++x77nvwe/K79Hv1u/b79/v5O/q7/Hv9u/67/3wAfAG8A7wF/Ag8CjwL/A28D/wS/Bb8G/wg/CX8KnwufDI8Nfw5/D48QnxGPEm8TLxPfFJ8VXxYfFv8XzxifGV8aLxsfHB8dPx5vH78hDyJvI78lDyY/J08oTyk/Kj8rLywfLQ8t7y7PL58wjzGfMs8z/zU/Nm83bzhPOR85/zrvO+88/z3vPt8/n0BfQR9B70LPQ89Ev0WvRo9HX0g/SS9KD0rvS79Mf00vTd9Oj09fUD9RD1HfUo9TH1OPU+9UP1SPVN9VP1W/Vk9W71dvV+9YP1hfWH9Yj1ivWN9ZD1lPWY9Zz1oPWm9az1tPW69cD1xPXG9cf1yfXM9c/10/XV9df12PXa9d314fXm9en17PXt9e/18vX59gP2EPYe9i32O/ZK9ln2afZ69or2mPak9q/2ufbE9tH24Pbu9vz3B/cQ9xj3H/cm9y33M/c49z33Q/dJ91H3W/dl9273dfd894T3j/eb96r3uPfF99D32Pfg9+r39Pf/+An4D/gR+BD4DvgN+A74EvgW+Br4Hfgf+CP4Kvg0+EH4UPhg+G34efiD+Iv4kfiT+JH4jPiF+H/4e/h7+H74gviF+Ib4hPh/+Hr4dfhw+Gv4Zvhf+Fr4V/ha+GX4dviM+KT4ufjH+M74y/jB+LP4o/iU+Ij4gfh++IH4h/iR+J74rvjA+NL44/jy+P75B/kP+Rj5Ivku+Tr5RvlP+Vf5Xvlk+Wn5bflw+XP5dfl7+Yb5l/mt+cX52/nv+f76CvoY+if6O/pQ+mP6c/p8+oH6gvqD+oj6kPqc+qr6tvrC+sv60vrZ+uD66fry+v37CfsW+yT7NPtE+1b7aft++5T7qPu5+8T7yvvK+8j7x/vM+9j77PwG/CP8QPxa/HL8hfyV/KP8rfy2/L38xPzL/NX84fzw/P/9D/0g/TD9Qv1U/Wb9d/2G/ZT9n/2r/bn9y/3g/fj+Ev4s/kf+Yf58/pj+tP7Q/un/AP8U/yX/NP9D/1H/X/9u/4D/lf+u/8r/6AAEAB0AMgBFAFUAZwB9AJUAsADNAOsBBwEjAT4BWAFxAYsBpQHDAeUCDAI3AmQCkAK3AtsC+gMYAzcDWAN7A58DwwPnBAsEMQRXBHoElQSnBK8EsQSzBL8E2QUBBTIFYgWKBaMFrQWvBa4FsQW9BdAF5wX8Bg8GHQYrBjsGUAZtBpAGtgbcBv4HGwczB0cHVwdlB3IHfweLB5YHoQeqB7IHuQfBB8kH0QfZB98H4wflB+MH3gfXB80Hwwe6B7IHrgetB68Hsge1B7UHsQeqB6AHlQeKB4EHewd3B3YHdgd4B3sHfQd+B3wHeQd1B3IHcwd5B4MHkAebB6QHqQerB60Hrwe0B7oHvgfAB70HuAexB6oHpAefB5sHlQePB4oHhQeBB34HeQdzB2wHYwdcB1kHWgdfB2cHcQd8B4gHlQehB6wHtAe5B7sHvAe9B8IHywfYB+gH+ggNCCEIMwhBCEsIUAhRCFIIVwhjCHYIjQijCLMIvgjFCM0I3AjzCQ0JJAk0CTsJPQk/CUUJTglUCVEJQAkiCQEI5wjaCNkI2gjOCKsIbQgZB7kHVAbrBncF8AVVBLIEIAO/A6oD5wRrBRYFwwZVBrsG+QceBzoHWAd6B5sHswe/B8AHvAe6B7sHvge+B7cHqwebB40HhAeCB4YHjQeUB5wHpgezB78HyQfNB8oHwge5B7UHtwfAB8sH0wfVB9QH0QfSB9kH5QfxB/sH/gf7B/cH9gf7CAkIHwg5CFcIdAiQCKgIuQjCCMEIugiwCKkIqgiyCMAIzAjRCMsIugilCJEIhAiBCIcIkAiZCJ4IngibCJUIjgiGCHwIcAhkCFgITghICBwIHQgaCBUIDggICAEH/Af1B+sH3QfLB7YHoweTB4cHgAd7B3gHdAdwB2sHZQdgB1sHWAdZB18Hawd7B4wHmQeeB5oHkAeEB3kHdAd1B3oHgQeHB44HlQedB6gHtQfCB88H2gfmB/UIBwgeCDkIVghzCJEIsAjOCOkI/wkNCRMJFQkaCSgJQglnCZAJtQnQCeAJ5wntCfgKCgogCjQKQQpFCkUKSQpYCnMKlQq2CskKywq/CqwKnwqgCrAKygrkCvgLAgsECwcLDwseCzELQQtKC0wLSQtJC1MLaQuJC6wLywvhC/AL+gwFDBYMLQxHDGIMeAyJDJQMnQykDKsMswy8DMYM0QzeDOwM+w0MDRwNLA07DUkNVQ1fDWgNbw13DYINkA2iDbcNzw3mDf0OEQ4kDjUORA5RDlwOZg5uDncOgQ6MDpYOng6iDqMOog6fDpwOmg6YDpgOmA6ZDpwOoA6lDqkOrQ6uDq8Org6uDq8OsA6wDq4Oqg6lDp4Olw6ODoQOdw5oDlkOSw5ADjgOMg4sDiMOFQ4EDfIN4g3VDcwNxw3EDcINvw29DbwNug23DbUNsg2wDa8NsQ2yDbINrw2nDZwNkA2GDX8NfA19DX8NgA2ADXwNdw1wDWgNXw1WDU4NSA1FDUQNRA1CDT0NNg0tDSUNHg0aDRcNFA0MDP4M5wzKDKcMggxhDEkMPgw/DEoMWAxiDGEMUgw5DBwMBQv4C/gMAAwLDBAMDQwCC/AL3gvNC8ALtguuC6gLowuhC6ILpguqC68Lsgu0C7ULtQu3C7gLuQu7C70LwgvKC9IL1gvRC8ALoQt5C1ALLAsTCwUK/Qr0CuQKyQqlCnsKUQorCgoJ7gnUCbkJnAl6CVQJJgjwCLAIZggVB8IHdActBvEGvwaTBmoGQwYeBf8F6QXdBdsF3QXcBdIFugWYBXAFRwUlBQkE9QTjBNAEuwShBIYEagROBDMEFwP6A90DwAOmA40DdgNfA0UDJwMGAuMCwAKdAnwCWwI6AhkB+AHXAbcBlwFzAUwBIADvAL8AkABnAEMAJQAJ/+//0/+4/5z/gv9o/0//Nf8Z/vz+3f6+/p3+ff5c/jz+Hf3//eX9zP20/Zz9gv1m/Ur9Lf0Q/PX82fy9/KH8hfxp/FD8OPwh/Af76/vL+6f7g/th+0H7JfsL+vH61fq4+pv6ffpg+kT6J/oK+ev5zfmv+ZL5d/lc+UH5JPkI+O741fi/+Kv4l/iA+Gf4S/gw+BX3/vfo99T3v/ep95L3e/dm91P3Qfcu9xr3A/br9tP2vPap9pj2ifZ89m32XvZN9jz2KvYY9gf19/Xn9dj1yfW49af1lPWB9XD1YfVW9U71SPVC9Tv1MvUo9Rv1D/UE9Pr08vTr9Ob04fTd9Nr01/TU9NL00PTO9Mz0y/TK9Mj0x/TG9Mb0xfTF9MX0xfTF9MT0w/TC9ML0xPTG9Mr0zfTP9ND00fTT9Nb03fTm9O709PT19PD06vTl9Ob08PUD9Rr1MvVH9VX1XvVk9Wv1c/V99Yf1kPWV9Zn1nPWg9af1sfW+9cr11fXd9eD14PXe9dz13fXk9fH2APYO9hb2FPYJ9fr17vXp9e319/YC9gj2BvX89ez12fXG9bL1n/WN9YD1evV69X31ffV09WH1S/U79Tn1QvVK9Tn0/fSQ9AHzcvMN8vTzL/Or9D70uPT39PL0t/Rm9Bzz7PPU88jztvOS817zI/Ls8sHyo/KM8nTyWPI58hvyA/Hy8ebx2fHG8avxifFm8UfxLPEY8Qfw+PDo8NfwxPCv8JjwffBg8EPwKPAR7//v8e/l79vv0O/F77rvsO+l75rvj++F733vee96737vgu+F74TvgO9773Xvcu9y73HvcO9s72fvYu9d71vvWu9a71jvVe9S70/vT+9R71TvVe9U71DvTO9J70rvTu9V71zvYe9k72fva+9x73rvhO+M75Lvlu+a76Dvp++x77vvxO/J783v0O/W797v6O/z7/3wBPAJ8A/wGPAj8DLwQ/BV8Gbwd/CI8JrwrfDA8NLw4/Dx8P7xC/EZ8SfxNfFC8U7xWfFj8W/xffGN8Z7xsfHE8dbx6vH/8hXyKvI/8lLyZPJ18obyl/Kn8rbyxPLR8t7y7PL98w7zIfMy80LzUPNc82jzdvOF85XzpfO088Pz0fPf8+7z/vQP9B/0LvQ89En0VvRj9HH0fvSK9JT0n/Sp9LT0wfTP9N707fT69QX1DfUU9Rr1IPUl9Sr1MPU39T71RfVL9VD1UvVU9VT1VfVX9Vn1XPVe9WL1ZvVs9XP1fPWF9Y31k/WX9Zv1nvWh9ab1q/Wx9bb1u/XA9cT1yPXK9cv1yvXJ9cj1yfXN9dP12vXh9en18PX39gH2C/YY9iT2LvY49kH2TPZZ9mv2f/aV9qv2wPbT9uP28fb99wb3DPcQ9xH3E/cW9xz3Jfcu9zj3QPdI90/3Wfdk93H3fveL95b3ofes97n3x/fX9+T37ffw9/D37ffq9+j36ffs9+/38ff09/j3//gH+BH4HPgm+DD4OPhB+Er4U/ha+F74X/hd+Fn4V/hW+Fj4W/hf+GL4ZPhl+Gf4Z/hl+GH4V/hK+Dz4MPgr+C34OPhK+GD4dPiF+JD4lPiT+I34h/iA+Hr4dfhy+HD4cPhz+Hr4hviU+KP4sPi7+MH4xvjK+ND42vjo+Pn5Cvkb+Sr5N/lD+U75Vvlb+V35Xvlg+Wf5dPmH+Z75tfnJ+dj55fnx+f/6EPoi+jP6QfpK+k/6UvpX+mD6bPp7+on6lvqf+qf6r/q4+sP6z/rc+un69fsA+w37Hfsx+0j7ZPuB+537tvvH+9D70fvN+8b7wvvE+8z73Pvw/Ab8Hfwz/En8Xvxz/If8mPym/K/8tfy7/ML8zfza/On8+/0N/R/9Mv1F/Vj9av16/Yj9k/2e/av9uv3M/eH99/4O/if+Qf5e/nz+nf68/tn+8f8F/xT/If8t/zn/R/9Y/2z/g/+e/7r/1v/vAAUAFwAmADUARwBcAHYAkwCxAM8A7gEKASYBQQFaAXMBjQGpAckB7wIaAkgCdgKkAs8C+AMhA0oDcgOYA7wD2gP2BBEEMARTBHoEoQTFBOME+gUNBSEFOQVXBXkFmgW0BccF0gXbBeUF9gYMBiUGPAZLBlMGVAZUBloGagaFBqkG0Qb3BxgHMgdGB1YHZAdxB38HjQeZB6MHqwezB7oHwgfLB9YH4QfqB/IH9gf2B/MH7QflB9sH0QfIB8EHvQe7B7sHuwe8B7wHuwe5B7YHsgerB6EHlgeJB34HdQdyB3MHdwd8B4AHgAd+B30HfQeBB4kHlAefB6sHtgfBB8wH1wfiB+gH6gflB9wH0gfIB8IHvwe+B7wHuAezB60HqAekB58HmweVB40HhQd+B3sHfAeCB4oHlAefB6sHtgfAB8cHygfJB8YHxAfFB8sH1wfoB/sIDwgiCDQIRQhRCFgIWwhcCF4IZQhzCIcInAivCLwIwwjKCNYI6wkGCSEJNAk8CTkJMwkzCT4JUQlmCW4JYwlFCR8I/QjqCOYI5gjdCL4Ihgg9B+0HoQdVBv0GiQXxBT4EjAQAA8AD3QRQBPkFrwZMBrwG/wckBz4HWwd+B6EHuwfHB8UHvQe1B7QHtwe7B7sHtAeoB5wHkwePB44HjgeOB48HkgeXB54HogefB5EHewdjB1AHSAdLB1YHYwdsB3AHcAdxB3QHfAeFB4sHjQeJB4UHhQeMB5wHtAfPB+oIBAgbCC4IPQhGCEgIRghBCD0IPwhHCFIIXQhgCFsITAg4CCYIGwgaCCEILQg4CD8IQgg/CDoINAguCCcIIQgcCBoIGQgaB+QH5QfhB9kHzwfFB74HuAeyB6oHngeOB3sHaAdYB0wHRQdBBz4HOwc5BzcHNAcyBzEHMQc1Bz0HSgdcB28HfweJB4oHhQd8B3QHbwdvB3IHeAd+B4UHjgeZB6cHuAfJB9kH6Af2CAUIFggrCEMIXQh4CJUItAjTCPAJBwkWCRsJHAkcCSQJNwlUCXYJlgmvCb4JxwnQCd0J8QoHChoKJQonCiYKKQo3ClIKdAqVCqsKsAqoCpoKkAqSCqAKtwrQCuMK7gr0CvsLBAsSCyILLQsyCzMLMws5C0oLZQuGC6YLvwvQC9oL4gvuC/8MFgwuDEQMVQxiDG0MdwyBDI0MmAykDK4MuQzGDNQM5Az0DQMNEA0bDSUNLQ01DT0NRQ1ODVkNZQ11DYcNnA2xDccN3A3vDgEOEQ4fDisONQ4/DkkOVA5fDmoOcQ51DnUOcg5vDmwObA5uDnEOdQ55Dn4Ogg6HDooOjA6MDooOhw6FDoMOgw6DDoEOfg55DnEOaA5eDlIORQ43DigOGQ4MDgEN+A3vDeYN3A3RDccNvg23DbINsA2vDa8NrQ2rDacNog2eDZoNmA2YDZoNnA2dDZoNkg2HDXsNbw1mDWINYg1lDWcNaA1nDWQNXg1XDU8NRg0+DTYNMQ0tDSwNKQ0mDSANFw0PDQcNAQz7DPUM7QzfDM0MtgydDIQMbAxZDEwMSAxODFsMawx7DIQMgwx4DGcMVQxGDD4MOQw1DC0MHwwLC/QL3QvKC7sLrwukC5gLjAuBC3sLegt/C4kLlgukC7ALuAu+C8ALwQvCC8ULzAvYC+UL8AvyC+gL0QuuC4YLYQtCCysLGwsMCvgK2wq1CooKXQozCg8J8AnWCb0JowmGCWUJPQkNCNQIkQhHB/kHqwdjByMG6ga3BocGWAYpBf8F3AXCBbMFqgWiBZcFhQVrBU0FLgUQBPYE3wTJBLMEnASFBG8EWQRCBCoEDgPtA8kDpQODA2QDSgMyAxoC/wLiAsMCogKBAmECQAIgAgAB4AHAAaABfgFaATIBBgDXAKgAfABTADEAEv/3/9z/wf+m/4z/cv9Y/z//JP8I/uv+zP6u/o7+bf5M/ir+CP3o/cz9s/2b/YX9bv1W/Tz9Iv0I/O781fy6/J78gfxj/Ef8LfwT+/n73Pu8+5n7dvtV+zb7HPsD+ur60Pqz+pX6dvpY+jr6HPn/+eL5xfmo+Yz5cflW+Tr5HPj/+OP4yviz+J/4ivh0+Fr4P/gi+Af37vfY98T3sPec94b3cPdb90f3M/cg9wv29fbd9sX2rvaZ9of2ePZq9lz2TvY+9iz2GvYH9fP14fXQ9cD1sPWh9ZD1fvVs9Vr1SfU79TH1KPUh9Rr1EfUH9Pz08fTn9N301PTK9ML0u/S19LH0r/Su9K30rPSq9Kf0pPSh9J/0nfSc9Jz0m/Sb9Jv0m/Sb9Jv0mfSY9JX0lPSU9Jb0mfSc9J/0ovSl9Kn0rvS19L30wvTE9ML0vfS69Lr0wvTR9Ob0/PUR9SH1LPUz9Tn1P/VG9U71V/Ve9WT1afVu9XP1evWE9Y/1m/Wm9a71svWx9a71rPWx9bz1zfXf9ez18PXp9d31z/XH9cf1zvXY9d/14fXc9dD1wPWs9ZX1ffVn9Vf1T/VR9Vj1XPVX9Uf1L/Ua9RH1F/Uh9Rz09PSd9B3zj/MX8tjy5PM086r0H/Rt9IT0ZvQn8+Lzq/OI83bzZvNO8yny+vLI8pnyc/JT8jjyHvIG8fDx3fHN8b7xrvGZ8X7xX/E+8R7xAPDl8M3wuPCm8JXwhfBz8F7wRvAp8Azv8O/Z78fvuu+v76TvmO+L733vcO9k71nvUO9J70PvQe9B70LvRO9F70PvQe8+7zvvOu847zbvMu8t7yfvIu8f7x7vHe8c7xrvF+8V7xXvGO8d7yHvIu8g7xvvFe8T7xTvGO8e7yTvKO8r7y/vNu9B707vW+9l72nva+9r727vde9+74nvku+Y75zvoO+n77Dvve/J79Xv3u/k7+nv7+/48APwEPAe8C3wP/BR8Gbwe/CP8KDwrvC68MXw0PDe8O7w/vEN8RrxJfEx8T7xTPFc8W3xffGN8Z3xrvHB8dfx7vIF8hvyL/JC8lTyZ/J58ovynPKq8rbywvLP8t3y7fL+8w3zHPMp8zbzQ/NR82Dzb/N+84zzmfOo87fzyPPa8+vz/PQL9Bj0JvQ09EH0T/Rb9Gb0cPR69IX0kfSd9Kr0t/TD9M702PTi9Ov08vT59P71AvUF9Qj1DPUQ9RX1GfUd9SH1I/Um9Sn1K/Ut9S/1M/U39T31RPVN9VX1XPVi9Wb1avVv9XT1evWA9Yf1jvWV9Zv1ofWm9an1rPWv9bL1tfW59b31wfXD9cP1w/XF9cf1zPXS9dn13vXj9ej17/X59gf2GfYu9kT2WvZw9oX2mfar9rv2x/bP9tT22fbg9un29fcC9w/3Gfci9yn3MPc39z/3SPdQ91j3Yfds93n3ifeb96z3uffD98j3yffJ98f3xffD98H3v/e/98L3yffS99z35vfu9/X3/PgD+Av4FPge+Cb4K/gu+C74Lfgs+Cv4K/gs+C34MPg2+D34RfhM+E/4TPhD+DX4JfgW+Av4BfgE+Aj4D/gW+B/4KPgy+D34SfhU+F34ZPhp+Gr4a/ht+HH4efiD+I74l/ic+Jz4mviX+Jf4nfio+Lf4yfjb+O34//kR+SP5M/lA+Ur5T/lU+Vr5ZPlz+Yf5m/mu+b35yfnU+eD57vn9+gz6GPof+iT6KPou+jj6RvpW+mX6cvp8+oX6jvqZ+qf6tfrD+s761/rg+uv6/fsV+zb7XfuF+6r7x/va++H73/vX+877yfvK+9H72/vo+/T7/vwK/Bf8KPw+/Fb8bvyD/JT8oPyp/LH8u/zI/Nf86Pz6/Q39H/0y/UX9WP1o/Xf9hP2Q/Zz9qf24/cn92/3w/gb+Hv47/lr+fP6d/rv+1f7r/vz/Cv8X/yX/NP9G/1r/cf+K/6P/u//Q/+L/8QAAABAAJAA+AFsAewCdAL0A3QD6ARcBMgFMAWYBgAGaAbcB2AH9AiUCUAJ8AqoC2QMLAz4DcAOfA8gD6gQGBB8EOARWBHkEnwTGBOkFCAUjBT0FWAV0BZIFrQXFBdkF6wX9BhMGLgZMBmcGewaFBoYGgQZ9BoAGjQalBsUG6AcJByYHPwdUB2cHegeLB5oHpQetB7IHtge6B8EHywfWB+AH6QftB+4H6wfoB+UH4wfiB+IH4gfhB94H2AfQB8cHvwe6B7kHvAfDB8oHzgfNB8UHtwemB5YHiweHB4kHjweWB5oHmgeXB5QHkweVB5wHpQeyB8AH0QfjB/YICAgVCBsIGAgPCAIH9QfsB+cH5QflB+IH2wfRB8YHugexB6kHowedB5gHlAeRB5AHkQeUB5gHnQelB68HugfFB84H0QfRB9AHzwfTB90H7QgACBQIJwg5CEgIVQhgCGgIbQhwCHUIfgiMCJ8IsgjCCMwI0gjZCOcI/gkcCToJTglUCU4JQwk+CUYJWQltCXcJbglSCSwJCAjvCOMI3AjNCK4IfghGCBIH5we8B38HGQZ+BbgE5QQ2A9MD1wQ8BOQFoQZJBsQHDgc0B0wHZAeDB6IHugfEB8EHuQezB7UHvQfIB88H0QfNB8kHxQfEB8QHwge9B7gHtQe2B7kHuwe0B6AHgQddBzwHKAcjBysHOQdGB0wHTAdIB0UHRgdKB04HUQdRB1IHVgdfB20HfweSB6MHsAe6B8MHywfRB9QH1AfSB9IH1QfdB+gH9Af6B/kH7gfeB80HwQe9B8AHxwfPB9UH1wfYB9YH1QfTB9IH0gfTB9YH2gfgB5wHnQebB5QHiweCB3oHdQdxB2wHZAdYB0oHOgcsByAHGAcRBw0HCQcHBwcHCAcJBwsHDgcSBxkHJQc1B0gHWQdmB2wHbAdpB2QHYgdiB2YHbAd0B30HiQeZB6sHwAfWB+oH/AgMCBwILQg/CFQIagiBCJsIuAjWCPQJDQkeCSgJKgkrCTAJPQlRCWsJhQmbCasJuAnFCdYJ6woAChAKGQoaChgKGwonCj4KWwp3CokKjwqLCoMKgAqHCpgKsArICtoK5grtCvIK+QsCCwsLEgsXCxwLJQs2C08LbQuLC6QLtQu9C8ILyQvVC+cL/AwQDCAMLAw1DD4MSgxYDGcMdQyBDI0MmAymDLYMyAzaDOkM9Qz9DQQNCg0SDRsNJQ0uDTgNQg1ODVwNbQ1/DZINpQ24DckN2Q3oDfYOAw4PDhwOKQ42DkAORw5KDkkORQ5CDkAOQQ5FDksOUQ5XDlwOYA5jDmUOZw5oDmgOZg5kDmIOYA5eDlsOVg5ODkUOOQ4tDiEOFA4HDfkN6w3bDc0Nvw2zDaoNow2fDZwNmw2aDZkNmA2XDZUNkw2QDYwNiQ2GDYQNhA2GDYcNiA2FDX8NdQ1pDV0NVA1PDU4NTw1RDVINUg1QDU0NSQ1EDT0NNQ0tDSUNHw0bDRcNEw0MDQMM+QzwDOgM4QzbDNMMxgy1DKEMjQx8DHAMaAxkDGIMYwxnDG8MegyIDJUMngygDJwMkgyGDHkMawxcDEgMMAwVC/oL4gvQC8ILuAutC58Ljwt9C28LaQtsC3gLiwuiC7cLyAvTC9oL3gvgC+ML6AvvC/cL/Av8C/QL4wvJC6kLiQtqC08LOAsgCwYK5grACpYKawpDCiAKAgnoCdEJuAmdCX4JWQkrCPUItghwCCQH2AeOB0sHDQbVBp8GawY5BgkF3wW8BaEFjQV9BW0FWwVGBS4FFQT7BOIEyAStBJIEeARgBEoENgQjBA4D9APUA7ADigNlA0MDJgMLAvEC1wK8Ap8CggJlAkgCKwINAe4BzwGuAY0BaQFDARsA7wDCAJUAawBEACIAAv/l/8n/rv+V/3z/Zf9N/zT/Gf78/t7+v/6g/oH+Yf5A/h39+f3X/bf9m/2C/Wz9Vv1A/Sr9E/z9/Of80Py5/J/8gvxk/Eb8KPwK++z7zfut+4v7avtM+zD7GPsB+un6z/qy+pL6cvpR+jH6Evn1+dj5vPmh+Yf5bPlR+TX5F/j4+Nv4wPin+JH4fPhm+E34MfgV9/r34ffL97f3pPeR93z3ZvdP9zj3I/cO9vn25PbP9rn2o/aO9nv2aPZY9kj2OfYq9hr2CfX29eP1z/W89av1mvWL9Xz1bfVc9Uv1OvUq9Rv1DvUC9Pf07PTh9Nf0zfTE9Lv0svSo9J/0lvSQ9Iz0ivSK9In0iPSE9IH0fPR59Hf0dfR09HP0cfRw9G/0b/Rv9HD0cPRu9Gv0Z/Rk9GP0ZPRm9Gr0bvRy9Hj0ffSE9Iz0kvSV9JX0kvSP9I70k/Sd9K30wPTV9Of09fT/9Qb1C/UQ9RX1G/Uj9Sv1MvU49T31QvVJ9VP1YPVt9Xn1f/WA9X31e/V89YX1lPWn9bj1wfXB9br1sPWp9aj1rPWz9bn1vPW69bP1p/WV9X71Y/VG9S71IPUe9Sb1L/Ux9Sb1EfT59Or06vT09Pv06vSx9E3zy/NI8uXyu/LP8xXzcPO/8+vz6/PJ85XzYvM88yTzFfMG8u/yzvKl8nnyT/Iq8grx7/HY8cPxr/Gc8YnxdPFd8UXxKvEN8O/w0fC08JnwgvBv8F/wUvBD8C/wFu/579nvvO+j75HvhO95727vYu9T70TvNO8n7xzvFO8O7wvvCe8J7wnvCO8G7wPu/+777vfu9O7w7uvu5u7g7tvu2O7X7tnu2u7b7tzu3O7d7uHu5+7t7vHu8u7u7uju4+7h7uPu6O7t7vLu9e747v7vCO8X7ynvOu9H703vT+9O70/vUu9Z72HvaO9t73Hvdu9974fvlO+h763vt++/78bvzu/X7+Lv7e/58AbwFPAk8DbwSfBa8GnwdfB/8IrwlvCl8LfwyfDa8Ojw9PD/8QvxGvEp8TnxSPFW8WTxc/GF8ZrxsvHJ8d/x9PIG8hnyLPJB8lbyavJ88ovymPKk8rHyv/LO8t3y6/L58wfzFfMk8zLzQfNO81vzZvNz84DzkPOg87HzwvPR8+Hz8PP/9A70HfQr9Dj0Q/RP9Fn0ZPRv9Hr0g/SN9Jb0n/Sq9LT0vvTG9Mz0z/TQ9NH00/TX9Nz04vTo9O308vT29Pr0/fUB9QT1CPUL9RD1FfUa9SD1JfUq9TD1NfU69T/1RPVK9U/1VfVb9WH1aPVv9Xf1fvWG9Y71lfWd9aP1p/Wp9an1qPWo9an1rPWw9bT1uPW79b71wPXF9cv10/Xc9ef18vYA9hD2IvY29kr2XvZv9n/2j/af9rD2wvbT9uP28fb79wP3CfcP9xT3Gvcf9yT3K/cz9z73TPdc92z3e/eI95L3mvee95/3nPeX95D3iveG94f3jfeX96L3rfe39773xffM99T33vfo9/H3+ff/+AP4BfgG+AX4BPgB9//4APgD+Av4Ffgh+Cv4Mfgx+Cr4HfgL9/j35ffT98T3uve097X3u/fG99b36Pf7+A34Hvgr+DX4PvhG+FD4XPhq+Hf4gviJ+Ir4h/iC+H74ffiA+If4j/iZ+KX4tPjG+N349vkP+SX5N/lF+VH5Xflr+Xz5jfmc+an5svm7+cX50fne+ez59/n++gL6BfoK+hL6Hvos+jv6SfpV+mD6bPp6+on6mPqk+qz6svq4+sL61Pry+xn7R/t2+5/7vfvP+9P7zvvF+737uvu++8b70fva++D75Pvn++z7+PwK/CP8P/xZ/HD8g/yQ/Jz8pvyy/L/8zfzd/O38//0S/Sb9O/1Q/WP9df2F/ZT9ov2v/bz9yf3Y/er9//4Y/jX+Vf51/pT+sP7I/t3+7/8A/xL/JP82/0r/X/9z/4f/mf+p/7j/xv/X/+oAAwAhAEMAZgCJAKsAywDpAQYBIwE/AVsBdgGRAa0BywHrAg0CMgJaAoUCswLlAxoDUAOEA7UD4AQGBCgESQRpBIoEqgTIBOME/AUTBSwFSQVpBYsFrAXLBeYGAAYaBjUGUgZtBoQGkwaaBpkGlwaXBp0GrAbCBtwG+AcTBy0HSQdlB4IHnQeyB78HwQe9B7MHqwenB6sHtgfEB9MH3gfkB+QH4gffB94H4QfnB+8H9wf7B/oH8wfmB9cHyAe+B7sHwAfKB9UH3AfdB9YHyQe6B68HqQerB7AHtge5B7gHtAeuB6kHqAesB7QHvwfNB90H8AgFCBsILwg9CEIIPggzCCQIFggLCAQH/wf4B+8H4wfVB8YHuAetB6QHngeaB5gHmQebB54HoQeiB6IHowemB60HuAfEB88H1gfYB9cH2AffB+sH/ggTCCgIOwhLCFkIZghyCHwIggiGCIkIkAicCK0IwAjQCNwI4wjrCPcJDAkoCUUJWwlmCWUJXwlaCV0JZwlxCXMJZglMCSsJDAj2COkI3QjKCKoIgQhYCDcIHwgEB88HZwbDBe0FCgRJA9kD0gQxBNUFkwY+Br0HCwc1B04HZQeCB58HtgfCB8UHwwfEB8sH2AfnB/IH+Qf8B/8IBAgLCBAIEQgLCAMH/Qf+CAQICggJB/sH3ge4B5IHdwdrB24HeAeDB4YHggd5B28HaQdpB2sHbwdzB3YHegd/B4cHjgeUB5cHlgeSB48HjAeKB4gHhQeAB34HfweGB5EHnQemB6gHoweXB4oHfwd4B3cHegd9B4AHgweFB4cHigeNB48HjweQB5EHlAeYB0sHTQdOB0sHRAc8BzQHLgcqBycHIwccBxQHCgcABvYG7gboBuQG4QbiBuUG6QbuBvIG9Qb4BvwHBAcPBx4HLgc7B0UHSgdMB00HTwdUB1sHZQdxB34HjgeiB7gH0AfnB/4IEgglCDcISghdCHAIhAiYCK4IxAjdCPYJDQkgCS0JNQk6CUAJSglaCW0JggmVCaUJtAnDCdUJ5wn5CggKEAoUChYKGwonCjgKTApeCmoKbgpuCm8KdwqHCp0KtwrMCtsK4wrlCuYK6ArsCvIK+QsCCw8LIQs6C1YLcwuLC5sLogulC6cLrwu8C80L3wvuC/kL/wwFDA0MGAwmDDYMRAxQDFwMagx6DI4MpAy4DMkM1QzeDOYM7Qz2DQANCg0SDRoNIg0rDTYNRA1UDWQNdA2EDZQNow2yDcEN0Q3gDe8N/Q4KDhYOHg4jDiQOIg4gDh4OHw4jDicOLA4wDjMONA42DjgOOg4+DkEOQg5CDkEOPg46DjUOLg4lDhoODQ4ADfMN5w3bDc8NwQ2yDaENkQ2DDXkNdA1zDXUNeA16DXsNeg14DXYNcw1xDW8Nbg1uDW4Nbw1vDW4Naw1kDVsNUA1HDT8NOw06DTsNOw07DToNOA03DTYNNQ0zDS4NJw0eDRYNDw0KDQUM/wz3DOwM4AzVDMsMxAy8DLEMoQyNDHgMZwxcDFoMXwxnDG8MdAx2DHgMfQyFDJAMmwyiDKMMngySDIMMcAxaDEEMJAwGC+kL0Qu/C7MLqwuiC5cLhgt0C2QLXAteC2sLgAuZC7ILxwvXC+IL6QvtC/AL8QvxC+8L6gviC9cLyAu0C50LgwtoC0wLMQsVCvgK2Aq2CpAKagpFCiIKBQnrCdUJvwmpCY8JbwlHCRYI3AiZCFAIAge0B2gHIQbeBqEGaAY0BgQF2QW1BZYFewVlBVAFPAUoBRME/gToBNAEtgSZBHoEWwQ/BCUEDgP4A+IDygOvA5EDcANQAzADEQLzAtQCtQKWAngCWwJBAicCDgHzAdcBuAGYAXUBUAEpAQAA1QCrAIIAWwA4ABb/9//Y/7v/n/+G/27/WP9B/yj/DP7s/sz+q/6M/m3+Tv4v/g396v3G/aX9hv1r/VT9Pv0q/RX9Afzt/Nr8xvyw/Jn8f/xi/EP8I/wC++L7wfug+4D7YftE+yr7E/r7+uP6yfqs+oz6bPpL+iv6Dfnv+dH5tfmZ+X/5ZflK+S75Efjy+NT4uPie+Ib4cPhZ+EH4JvgL9+/31ve/96r3lveC9233Vvc+9yX3Dfb29uH2zfa79qj2lPaA9mv2VvZB9i72HfYN9f/18PXg9c71u/Wn9ZT1gvVy9WP1VfVG9Tf1JvUV9QT09PTk9Nb0yfS99LL0qfSg9Jf0jvSE9Hv0cvRq9GX0YfRf9Fz0WfRV9FH0TfRL9Er0SvRJ9Ef0Q/Q/9Dv0OvQ69Dz0PvQ+9D30OvQ29DP0MfQw9DL0NPQ49D30Q/RK9FL0WfRf9GH0YPRe9Fz0XvRj9G/0fvSQ9KL0svS/9Mj0zvTS9Nf03fTl9O709vT99QL1BvUL9RT1IPUv9Tz1RvVJ9Uf1Q/VC9Uj1VfVn9Xn1hvWN9Y71i/WH9Yb1ifWM9ZD1kfWQ9Y31hfV59WT1SPUm9Qb07vTj9Ob08fT79Pr07PTX9MT0vPTC9M/00vS49Hf0EPOU8x3yx/Kh8q7y4PMe81LzbfNp80/zK/MH8uvy1vLE8rDylfJz8k3yJvIB8eHxxfGs8ZXxfvFm8U3xNfEd8Qbw8PDY8L/wpfCJ8HDwWfBH8DnwLPAd8Arv8O/R77HvlO9772nvW+9P70LvNO8j7xDu/u7u7uLu2O7T7s/uzu7O7s7uzO7J7sTuv+647rLuq+6l7p7ul+6R7o3uje6P7pPul+6b7p/uou6m7q3ute697sLuw+7A7rvuuO647rzuwu7H7sruy+7L7s3u1u7k7vbvCu8b7yfvLu8y7zbvOu8/70XvSu9O71LvVu9d72fvcu9974fvkO+Y76HvrO+478Xv0u/d7+fv8e/88AjwFvAk8DDwPPBH8FTwZPB28IvwnvCv8LzwxvDQ8Nrw5/D18QXxE/Eh8S7xPfFO8WLxefGP8aXxuPHK8dzx7vID8hnyMPJF8lfyaPJ38oXyk/Kh8q/yvPLK8tfy5vL28wbzFfMk8zDzO/NG81LzXvNt83vzi/Oa86nzuPPI89fz5/P29AT0EvQf9Cz0OPRD9E30VvRd9GT0a/R09H30h/SP9JT0l/SZ9Jv0nfSi9Kf0rvS09Lr0vvTC9MX0yvTP9NX02/Tg9OX06fTs9PD09fT59P/1BPUK9Q/1E/UX9Rr1HvUh9Sb1K/Uy9Tr1QvVL9VX1X/Vp9XL1evWA9YX1iPWK9Y31kvWX9Z71pPWr9bD1tPW29bf1t/W19bP1svWz9bf1wfXO9eD19fYL9iL2OfZP9mX2evaO9qD2sPa99sj20vbb9uP26vbw9vf2/vcF9w73GPci9y73OfdF91H3XPdk92n3avdn92H3WvdW91X3Wfdh92v3dfd+94b3jveW96D3qve09773xvfO99X33Pfi9+X35vfl9+H33vfd99/35vfv9/n4AvgH+Ab3//fy9+D3yve095/3jveB93v3efd794D3iPeT96D3rve+98733/fw+AL4Fvgr+ED4VPhk+HD4dvh4+Hj4dvh0+HL4b/ht+G34c/h/+JT4r/jN+Ov5Bvkd+TD5QflT+WX5d/mH+ZP5nPmi+ar5s/m/+cz51/ng+eT55/nq+e/5+PoE+hL6IPot+jv6Svpa+mv6e/qH+o/6lfqa+qT6tfrR+vb7IftK+237hfuQ+5H7i/uE+4H7hfuP+577rfu6+8L7xvvJ+8371vvl+/r8E/wt/EX8Wvxr/Hj8g/yO/Jn8pfyy/MD80fzl/Pz9Ff0v/Ur9ZP17/Y/9oP2u/bn9w/3O/dv97P4B/hr+Nf5R/mz+hf6d/rT+yv7g/vb/DP8h/zX/SP9Z/2j/d/+F/5P/o/+3/87/6wALAC0AUABxAJEArwDNAOsBCQEnAUYBZAGDAaEBwAHhAgMCJwJMAnMCnALHAvYDKANbA44DwAPwBB8ESgRzBJcEtgTOBOEE8wUGBR0FOwVfBYYFrQXSBfMGEAYsBkYGXwZ1BoYGkgaYBpsGngamBrMGxAbYBu0HAgcYBzAHTQduB5EHrwfEB8wHxQe0B54Higd/B38HigecB7IHxwfZB+UH7gfzB/gH/AgCCAcICwgNCAoIAQf1B+YH2QfRB9AH1QfdB+QH5wfkB9sH0AfHB8MHxQfKB9AH0gfOB8YHvQe2B7QHuQfCB84H2gfmB/IIAAgRCCQINghDCEkISAhACDUIKQgdCBIIBAf2B+UH0wfEB7gHrwepB6MHngeZB5cHmQefB6cHrwe1B7gHuge+B8UHzwfbB+UH6gfqB+cH5gfqB/YIBwgcCDEIRAhUCGMIcQh+CIkIjwiRCJEIkwiaCKgIvAjRCOII7wj4CQIJDwkiCTgJTgldCWYJaQlqCW0JcAlwCWkJWglDCSoJFQkICP8I9AjgCMAIlwhsCEYIIwf1B6kHLQZ8BaYEzgQiA8cD0QQ5BN0FlQY5BrIG/wcqB0cHYgeCB6IHvgfRB9sH4gfqB/YIAwgPCBYIGggcCCMILgg7CEUISAhCCDgIMQgxCDoISAhSCFAIPwgjCAIH5wfYB9UH2QfdB9wH0wfGB7kHsQeuB7EHtAe3B7YHtAexB68HrAenB6EHlweMB4EHdgdsB2IHWAdPB0cHQwdFB0sHVAdbB10HWgdUB0wHRgdCB0IHQwdEB0MHQwdEB0cHSwdPB1EHUAdNB0kHRwdIBvcG/AcABv8G+gbxBuYG3QbWBtMG0QbRBtAGzgbLBsgGxgbFBsYGyQbOBtQG2wbiBucG6QbrBu0G8Qb5BwUHEgcfBysHNAc7B0IHSgdUB2AHbQd8B40HoAe1B8wH5Af8CBMIKQg+CFQIaQh/CJQIqAi5CMkI2AjpCPsJDQkfCS4JOglECU4JWQlnCXYJhwmXCaYJswnACc4J3QnsCfgKAwoMChUKHgoqCjYKQQpKCk8KVApaCmUKeAqPCqkKvwrOCtQK0wrQCs0KzgrTCtwK6Ar4CwsLIgs7C1ULawt6C4ILhguHC4wLlwulC7YLxAvNC9EL0gvUC9kL4wvwC/4MCwwXDCUMNgxKDGIMewyRDKMMsQy8DMUMzwzaDOQM7AzzDPgM/g0GDRINIA0vDT4NTA1ZDWYNdA2EDZQNpQ20DcMN0A3dDekN9A39DgMOBg4GDgUOBQ4GDggOCg4LDgwOCw4LDg0OEA4UDhgOGg4aDhgOFA4QDgoOBA38DfIN5Q3XDckNug2tDaANkg2EDXUNZg1aDVENTQ1NDVANVQ1YDVoNWg1YDVcNVQ1VDVUNVQ1WDVcNVw1VDVENSQ0/DTQNKg0iDR4NHg0gDSENIQ0gDR0NGw0bDR0NIA0gDR4NFw0ODQUM/gz5DPQM7wzmDNkMywy9DLAMpgycDI8MfQxoDFMMQww8DEAMSwxaDGgMcAxzDHMMdAx3DH4MhQyKDIoMgwx2DGYMUgw8DCQMCAvrC88LtgukC5gLkAuJC4ALcwtjC1ULTgtQC1wLcAuIC54Lrwu8C8MLyAvKC8sLyQvDC7sLsAukC5cLigt8C2sLVgs9CyMLBwrrCs8KtAqWCnUKUgouCgwJ7QnTCb8JrwmgCZAJewleCTkJCQjPCIsIPgfrB5UHPwbsBqAGXAYhBe4FwwWeBX0FYAVFBSwFFQUBBO8E3QTMBLgEoQSGBGgERwQnBAcD6QPOA7UDnAOFA2wDVAM6Ax4DAALeArsClgJzAlECMwIZAgAB6AHPAbQBlgF1AVIBLQEGAN4AtQCOAGgARgAlAAb/5//I/6r/jP9x/1j/Qf8q/xD+9P7V/rP+kv5y/lP+Nf4W/fX90/2w/Y79cf1X/UH9Lf0b/Qj89fzi/M78uvyk/Iz8cvxV/Df8F/v2+9b7tvuW+3f7Wfs8+yH7Bvrs+tH6tfqY+nr6XPo++iH6BPnm+cn5rPmP+XT5Wvk/+ST5B/jp+Mv4rfiS+Hj4YfhJ+DH4GPf99+L3yPev95j3gvdt91f3Qfcp9xD29/bf9sn2tPah9o/2ffZq9lX2P/Yp9hP2APXw9eH11PXG9bX1o/WO9Xr1Z/VV9Ub1N/Uo9Rn1CPT39Ob01vTG9Lj0q/Sf9JT0ifR/9Hb0a/Rh9Ff0TPRD9Dr0M/Qt9Cf0IvQd9Bn0GPQY9Bn0GfQZ9Bb0EfQL9AX0AvQC9AP0BvQI9An0CPQF9AHz/vP78/nz+fP68/70A/QJ9BH0GPQd9CH0I/Qj9CT0JvQr9DT0QPRO9F70bfR79Ib0jvSU9Jv0ovSr9LT0vPTD9Mb0yPTM9NL03fTr9Pr1B/UN9Q31CvUI9Qr1E/Ui9TP1QvVO9VX1WPVb9V31YPVj9WT1ZPVj9WL1XvVX9Uf1LfUK9OT0w/Sv9Kz0tvTE9M30yvS69KX0lvST9Jz0qPSn9Ir0SPPn83bzDPK+8pjymfK28t7zAPMR8w7y+vLe8sDyo/KI8m3yUfIx8hDx7/HQ8bTxmvGC8WnxT/E08Rjw/fDk8M7wufCk8I/wePBg8EnwNPAj8BTwBe/079/vx++r75Dvdu9g707vPu8u7xzvCO7z7t/uy+667q3uou6b7pbulO6S7pHuj+6L7obugO557nLua+5k7l3uV+5S7k/uT+5S7lfuXe5i7mbuau5v7nfuf+6I7o/uku6T7pPulO6X7pzuou6n7qjupe6h7p7uoe6q7rnuzO7g7vLvAe8N7xfvIO8n7y3vMu827znvPu9F703vVu9e72Tvau9x73nvhe+T76LvsO+878bvzu/W79/v6e/07/7wCvAW8CbwOPBN8GLwdvCG8JPwnPCk8K3wufDH8Nfw5fDz8QDxDvEe8THxRvFb8XDxg/GV8abxuPHL8d/x9PIJ8h3yL/JB8lLyY/Jx8n/yjPKY8qXys/LD8tTy5vL28wXzEvMe8yrzNvND81DzXvNr83nzhvOU86LzsPO+88zz2vPn8/X0A/QQ9Bz0JvQu9DX0PPRD9Er0UfRX9Fv0XfRf9GL0ZvRr9HL0efR/9IP0hfSH9Ir0jvSU9Jv0o/Sr9LL0uPS99ML0x/TN9NP02fTe9OP05/Tq9Oz07fTv9PL09vT69QD1BvUN9RT1HfUn9TL1PfVI9VD1V/Vc9WH1ZvVt9Xb1gPWL9ZX1nfWj9ab1pvWk9aH1nfWZ9Zj1mfWe9af1tPXE9db16fX99hD2IvYz9kP2VPZk9nT2g/aR9p72qfaz9r32x/bS9tz25fbt9vX2/fcF9w/3Gfcj9yv3L/cw9y73K/cp9yn3LPcy9zj3P/dG9033Vfde92j3cvd894b3kPea96T3r/e598H3xvfH98T3wPe897n3uve998L3yPfM9833yffB97T3pPeT94P3dvdr92T3XfdX91D3S/dH90n3T/db92v3ffeQ96T3uffQ9+n4A/ge+Db4Svha+GX4bPhv+G74avhk+F74Xfhh+G34f/iW+K34xPjY+Ov4//kV+S35Rflb+Wz5efmC+Yn5kvmd+an5tvnA+cf5zPnP+dT52/nl+fH5/voL+hn6Kfo5+kv6Xfps+nn6g/qM+pf6qPq/+tr69/sR+yX7MPsz+zH7Lfst+zT7QPtT+2j7ffuO+5z7pvut+7X7v/vM+9778vwI/B78M/xF/FT8Yfxt/Hf8gvyO/Jv8q/y//Nb88f0O/S39TP1p/YL9l/2o/bT9v/3J/dX94/31/gn+Hf4y/kb+Wv5u/oP+mv6z/s3+5/7//xX/KP84/0f/Vv9m/3j/jf+l/8D/3v/+AB4APQBbAHgAlACwAM4A7AEKASoBSwFsAY8BswHYAf4CIwJIAmwCkQK3AuADCwM6A2sDngPRBAQENgRkBIwErwTKBOAE9AUJBSIFQQVlBYwFsgXVBfQGEAYpBkIGWgZwBoIGjwaZBqAGqAazBsEG0gbjBvQHBAcWByoHRAdhB34HmAeoB60HpgeWB4QHdAdrB2wHdQeGB5sHtAfNB+QH+QgICBMIGAgYCBYIEQgNCAgIAgf9B/gH9Af0B/YH+wgACAIIAAf5B/AH6AfkB+UH6QftB+0H5wfcB88HxgfDB8kH1gflB/EH+Af6B/sH/QgDCAwIFwgiCCoILggxCDEIMAgsCCIIEwf9B+UHzwe+B7QHrwesB6gHnweVB4wHiAeMB5YHpQe1B8IHzQfYB+MH7wf7CAMIBggCB/wH9wf4CAAIDwghCDMIQwhRCF8Ibgh9CIoIkwiXCJYIlQiYCKMItgjNCOQI9gkDCQsJEwkcCSoJOQlJCVYJYAlmCWoJawlmCVwJSwk3CSQJFgkNCQYI+wjkCMAIkAhWCBcH0Ad3BwIGagWzBPEERAPQA64D5gRnBRMFwwZYBsQHBwcvB00HbAePB7MH0wfsB/0ICggWCCEIKggtCCwIJwgkCCgIMwhBCEwITghGCDgIKwgmCC0IPAhMCFQITwg+CCYIEAgBB/sH+gf4B/EH5gfXB8sHxAfDB8YHyAfIB8IHuQeuB6QHmweSB4kHfgdxB2QHVgdIBzsHLgciBxcHEAcNBwwHDQcNBwsHCAcFBwMHBAcIBwwHDgcNBwkHAwb/Bv4HAAcCBwMHAQb8BvYG8wbzBqIGqwayBrUGsQaoBpsGjwaGBoIGggaFBokGjgaUBpkGnwamBq4GtwbBBsoG0wbaBt8G4wbmBuoG8Ab5BwUHEwchBy4HOgdGB1EHXQdqB3gHhweXB6gHuwfQB+cH/ggWCC4IRQhcCHMIigihCLYIyQjYCOQI7gj5CQYJFQklCTYJRQlTCWAJbQl6CYgJlgmjCa8JuQnDCcwJ1gnhCewJ+QoGChIKHQonCi4KMwo2CjoKQgpQCmMKewqUCqkKtgq6CrYKrwqqCqoKsAq9Cs4K4Qr2CwsLIQs2C0kLVwthC2YLagtwC3kLhwuWC6MLqwutC6oLpgukC6cLsAu7C8cL1AvjC/MMCAwgDDsMVQxrDH0MiwyXDKMMrwy6DMUMzQzSDNYM3AzlDPENAA0PDRwNJw0xDTwNSg1bDW0Nfw2PDZsNpg2xDb0Nyw3YDeMN6g3tDewN6w3pDekN6g3sDewN7A3sDe0N7g3wDfIN8w3xDe0N6A3jDd4N2g3VDc0Nwg2yDaANjQ16DWkNWw1ODUINOQ0xDS0NKw0sDTANMw03DTkNOg07DTsNPA08DT4NPg0/DT8NPQ06DTMNKg0eDRINCA0BDP4M/w0BDQMNAw0BDP4M/g0ADQQNCQ0MDQoNBQz9DPQM7gzqDOYM4QzXDMgMtgyjDJIMhAx3DGkMWQxHDDUMKAwjDCgMNAxEDFIMXAxgDGAMYQxiDGYMagxsDGgMXwxSDEIMMAweDAoL8wvZC8ALqQuWC4kLgQt5C3ALZAtVC0gLQAtBC0sLXAtuC34LiAuMC4sLhwuCC30LdwtwC2gLXwtYC1ELSQtACzMLIQsJCu4K0gq2Cp0KhApqCk0KLQoLCeoJzQm3CagJngmXCY8JgwlxCVcJNAkHCM4IiQg3B9wHegcYBroGZQYcBd4FrAWABVoFNwUXBPoE4ATKBLkEqgScBI0EegRkBEkEKgQKA+kDyAOpA4wDcgNaA0MDLQMWAvwC3gK8ApgCcgJOAiwCDgHzAdoBwQGmAYoBbAFLASkBBQDgALkAkwBtAEkAKAAJ/+v/zP+t/43/bf9Q/zT/HP8F/u7+1f66/pz+ff5e/j7+Hf38/dn9tv2T/XT9Wf1D/TL9I/0V/Qb89fzh/Mv8s/yZ/H78YfxD/CT8Bfvn+8n7rPuO+3H7U/s1+xf6+frb+rz6nvqA+mP6R/or+hD59PnZ+bz5oPmE+Wj5Tfky+Rb4+fjb+Lz4nviB+Gb4Tfg1+B34BPfq98/3tPea94L3a/dV90D3K/cV9v/25/bP9rf2oPaK9nb2Y/ZQ9jz2J/YS9f316fXY9cn1u/Ws9Zz1ivV29WL1T/U99S31HvUP9P/07vTc9Mr0ufSp9Jr0jfSB9HX0avRf9FT0SvQ/9DT0KfQe9BP0CPP+8/Xz7vPp8+bz5PPk8+Xz5fPj8+Dz3PPX89Lzz/PO887z0PPR89Hz0fPO88vzyPPF88LzwvPC88XzyfPO89Pz1/Pa89zz3/Pi8+fz7fP29AD0DPQY9CX0MvQ+9En0UvRb9GP0bPR19H70hvSL9I30jfSO9JP0nPSp9Ln0xvTQ9NP00vTQ9ND01fTf9Oz0+/UI9RP1HPUk9Sz1M/U59Tv1O/U69Tj1N/Uy9Sf1EfTx9Mv0pvSM9IH0h/SX9Kb0rPSl9JL0fPRt9Gz0dvSA9H70Y/Qo89TzdPMY8tHyp/KZ8qHysvLB8sXyvfKq8o/ycfJR8jHyEvH08dbxuvGh8YrxdfFf8UfxLfEQ8PLw1PC58KDwifB08F/wSvA18CHwDe/77+nv1u/C76vvle9+72rvV+9F7zTvIe8L7vPu2+7D7q/une6O7oLueO5w7mnuZO5f7lzuV+5S7kvuRO497jfuMu4u7inuJe4i7iDuIO4j7ijuLe4y7jXuOO487kHuSe5S7lruYu5n7mvub+507nrugO6E7oTugu597nnuee5+7onume6s7sDu0u7j7vLu/+8J7xDvFe8Z7xzvIe8n7y7vNe8870HvRu9L71LvW+9o73Xvg++Q75zvp++w77vvxe/P79nv4+/v7/3wDfAh8DXwSfBa8GfwcvB88IbwkvCg8K/wvfDL8Nfw5fDz8QTxF/Es8UHxVfFo8XvxjPGe8a/xwPHR8eLx9PIG8hjyKvI78kryWPJk8nHyf/KO8p/ysfLC8tPy4vLw8v/zDfMb8yjzNfNC803zWfNl83HzffOJ85bzovOu87vzyfPW8+Pz7fP38//0B/QO9BX0GvQe9CH0I/Qk9Cf0LPQy9Dr0QfRI9Ez0TvRP9FD0U/RX9F70ZvRv9Hf0f/SH9I70lfSc9KL0qPSu9LP0t/S69Lz0vvTA9ML0xfTI9Mz0z/TT9Nf03vTm9PD0/PUI9RP1HPUi9Sj1LfUz9Tv1RfVQ9Vz1ZvVw9Xj1gPWG9Yz1kfWV9Zb1l/WX9Zj1m/Wh9ar1tPW/9cr11PXg9ez1+/YL9hz2LPY79kj2U/Zf9mv2efaI9pj2p/a09r/2yPbQ9tj24Pbp9vD29Pb19vX29Pb19vf2+/cB9wf3DfcT9xj3H/cn9zD3OvdE9033V/di9273eveG95H3mPeb95v3mPeV95L3kPeP95D3kfeR95D3jfeI93/3dfdq92D3WPdT9073SfdC9zr3MPcp9yX3J/cu9zn3RfdR9133avd59433pvfC99/3/fgY+DD4RPhU+F/4Zvhq+Gv4a/hs+HD4dvh9+IT4iviR+Jr4qfi9+Nj49vkU+S75QvlR+Vz5Z/lz+YH5kPmd+an5sfm3+b75xfnN+df54vnt+fj6BPoS+iP6NfpH+ln6avp7+oz6n/qy+sX61frg+uX65frh+t/64frq+vn7Dvsl+z37Uvtl+3X7hPuS+6D7r/vA+9H75Pv4/Az8Ifw1/Ef8WPxl/HH8e/yF/JH8n/yv/MP82/z2/RL9MP1N/Wj9f/2S/aL9sP29/cr92f3o/fn+Cf4Y/ib+NP5E/lf+bv6I/qP+v/7Y/u//Av8U/yX/N/9L/2L/fP+Z/7b/1P/yABAALgBLAGcAhACgALwA2AD0ARIBMgFUAXsBpAHNAfYCHQJAAmICgwKnAs0C9wMkA1MDgwOyA+IEEQQ/BGsElAS4BNkE9gUSBS8FTQVtBY0FrAXJBeQF/gYYBjQGUAZrBoMGlgakBq4Gtga/BsgG1AbgBu4G/AcKBxsHLgdBB1UHZQdyB3sHgQeFB4kHjgeTB5gHnAegB6YHsAe/B9IH5wf6CAgIDggOCAoIBAgBCAEIBAgICA0IEQgVCBkIGwgdCB4IHQgcCBoIGwgdCCAIIQgdCBEIAQfuB98H2AfcB+gH9wgDCAcIAQf0B+UH2AfRB88H0gfWB90H5QfwB/8IDwgaCB0IFAf/B+QHyQe1B6sHqAeoB6UHmweNB30HcwdxB3sHjQeiB7gHzQfeB+8H/ggKCBMIFQgRCAkIAwgBCAUIEAgeCC0IOghGCFMIYwh2CIkImgilCKkIqwitCLQIwwjXCO0JAQkQCRkJHwklCS0JNwlCCU0JVglbCV4JXAlVCUkJOQklCRIJAQjyCOIIzQiuCIIIRwf9B6QHOga6BiQFegTMBC8DvgORA7QEIQTBBXQGGgaeBvcHLAdNB2cHhQenB8sH6wgECBcIJQgyCDsIPgg8CDMIKAggCCAIKAg0CD0IPAgvCBsIBgf4B/UH/AgHCA4IDQgCB/EH4QfVB84HyQfDB7kHqwecB5AHigeKB4wHjgeLB4QHeAdsB18HVQdMB0IHOAcsBx4HEAcDBvYG6wbhBtkG0gbNBsgGwwa9BrYGsAatBq8Gtga/BsgGzgbNBsYGvQa0Bq0GqgapBqgGpQagBpsGmQabBlIGXwZqBnIGcwZtBmMGWQZQBksGSgZOBlMGWgZiBmwGdwaEBpEGnwarBrYGvwbGBs0G1QbdBucG8gb/Bw4HHgctBzwHSwdZB2cHdQeFB5QHpAe0B8YH2gfvCAcIIAg5CFEIaQiACJYIrAjACNMI4gjvCPoJAwkNCRkJKAk5CUsJXAlsCXsJiQmWCaMJrwm6CcMJygnQCdUJ2wniCewJ9woDCg4KFwodCiAKIgomCi0KOgpMCmIKeQqKCpQKlgqQCokKgwqECowKnQqyCskK4Ar2CwoLHAssCzoLQwtLC1ELVwthC20LfAuIC5ALkguOC4YLfwt8C34LhQuPC5sLqAu4C8sL4gv9DBgMMQxGDFcMZAxxDH8MjQycDKcMsAy2DLsMwgzMDNgM5QzwDPkNAA0HDRENIA0zDUcNWw1qDXUNfg2HDZMNog2yDcANyg3ODc4Nyw3JDcgNyg3MDc4Nzg3NDcwNyw3MDc0NzA3JDcUNvw25DbUNsQ2tDaYNmw2LDXYNYA1LDTgNKQ0fDRgNEw0QDQ8NDw0QDRINFA0WDRcNGQ0bDR0NHw0hDSINIg0hDSANHg0aDRQNCw0ADPUM6gziDN8M3wzhDOMM5QzkDOQM5QzoDO0M8wz3DPYM8gzrDOQM3gzaDNcM0AzFDLMMngyHDHIMYAxSDEYMOgwtDCIMGQwWDBkMIgwtDDcMPgxBDEMMRQxJDE4MUgxTDE4MRAw2DCYMFgwGC/UL4gvNC7cLoguRC4QLegtxC2ULVgtECzMLJwsjCygLNAtBC00LUgtRC0oLPws1CysLJAseCxsLGgsaCxoLGQsUCwgK9grdCsAKogqGCmwKUwo7CiEKBgnqCdIJvgmwCagJogmbCZEJgglvCVgJPQkdCPMIvgh5CCQHwgdZBu8GjAY0BegFqAVyBUMFGQTyBM8EsQSXBIMEcgRjBFQEQgQtBBUD+wPfA8EDpAOHA2oDTwM0AxoDAALlAsgCqQKHAmUCQwIiAgUB6QHPAbUBmQF8AV0BPgEeAP4A3AC6AJYAcgBNACoACP/o/8n/qv+K/2n/R/8o/wv+8f7b/sb+sv6c/oT+aP5K/in+Bf3g/br9lv11/Vj9Qv0x/ST9Gv0P/QP88vze/Mb8q/yO/G/8T/ww/BH79PvY+737ovuH+2v7Tvsv+xD68frR+rH6kvp0+lX6OPob+gD55PnJ+a75k/l3+Vz5QPkj+QX45vjG+Kf4iPhs+FD4N/ge+AX37PfS97j3nveF92z3VPc+9yn3FfcB9uz21va+9qX2jPZ09l32R/Y09iH2DvX79en11vXE9bT1pPWU9YT1cvVf9Uz1OvUp9Rr1DPT+9O/03fTK9Lb0ovSO9H30bfRf9FH0RfQ69C/0JvQc9BL0B/P78+/z4/PX88zzxPO987nztfOy87DzrPOo86TzofOf853znfOc85zzm/OZ85jzlfOT85DzjvOM84zzjPOP85Pzl/Oa85zznPOb85nzmvOe86Xzr/O788nz1fPh8+3z+PQD9A30F/Qg9Cn0MvQ79ET0TPRR9FT0VfRW9Fn0YPRr9Hn0hvSR9Jb0l/SV9JT0l/Sd9Kf0tPTB9M302vTn9PT1APUJ9Q71EPUP9Qz1CfUF9P307fTT9LH0jfRv9F70XPRo9Hn0hfSG9Hr0ZvRR9ET0Q/RN9Ff0VvRB9BPz0fOD8zXy8vLC8qTylfKN8ofyfvJw8lzyQ/Io8gvx7fHQ8bTxm/GE8XDxXPFI8TLxGPD78Nzwu/Cb8H3wYfBJ8DPwIfAQ8ADv7+/d78nvse+Y73/vZ+9T70LvNO8l7xPu/u7l7svusu6b7onueu5u7mTuWe5P7kbuP+447jLuK+4j7hvuEu4K7gTuAO387fnt9+317fTt9e357f/uBe4K7g7uEO4S7hbuG+4j7ivuNO477kDuRO5J7k/uVe5a7l7uYO5h7mLuZO5q7nTuge6Q7qDusO6/7s3u2e7j7uvu8O7z7vbu+e797wTvC+8U7xzvI+8r7zLvOu9D707vWe9k73Dvfe+K75fvpO+v77rvw+/N79jv5u/38ArwHfAu8D7wTPBY8GPwb/B78IjwlfCh8K7wu/DK8Nrw7PD/8RPxKPE98VHxZPF28YbxlfGi8a/xvfHN8d7x8PIC8hPyIvIx8j/yTfJc8mzyffKN8p3yrPK88svy2/Lr8vrzCPMV8yHzLPM480PzT/Nb82fzcvN984jzk/Od86fzsPO588HzyfPR89jz3/Pk8+fz6fPr8+3z8vP49AH0CfQR9Bb0GvQc9B70H/Qi9Cb0LPQz9Dr0QfRJ9FH0WPRf9Gb0bPRz9Hn0f/SE9Ij0i/SO9JH0k/SW9Jj0mvSc9J/0o/Sp9LH0vPTI9NT03vTn9O708/T59P/1B/UP9Rj1IPUq9TT1QPVO9Vz1a/V39YD1hfWH9Yj1ifWL9Y/1lfWb9aH1p/Wu9bf1wfXN9dn15PXt9fP1+fYA9gr2GfYr9kH2V/Zr9n32jPaZ9qT2r/a39r32wPbA9r72vPa99sD2xvbN9tX23fbk9ur28Pb39v33BfcN9xX3H/cq9zb3QvdO91f3Xvdi92T3Zfdm92b3Zvdm92X3ZPdi92D3XfdZ91P3S/dD9zv3NPcw9y33LPcr9yn3Jvck9yT3J/cr9zH3Nvc59zz3PvdE9073Xvdz94z3qPfE99/3+/gV+C74Q/hV+GP4bfhz+Hb4d/h1+HD4avhl+GP4aPh2+I34qvjJ+Ob4/vkR+SH5L/k9+U75X/lx+YD5jfmY+aH5q/m0+b35xvnO+db53vno+fT6BPoW+ir6P/pW+m76hfqb+q36uvrA+r/6uvq2+rX6vPrK+t769fsM+yD7MvtD+1P7ZPt4+4z7ofu2+8r73fvx/Ab8Hfwz/En8XPxs/Hj8gvyL/JT8n/yt/L38z/zl/Pz9Ff0u/Ub9Xf1x/YP9k/2j/bL9w/3T/eT98/4A/g3+Gv4q/jz+U/5s/ob+n/62/sv+3f7v/wL/F/8w/0v/af+H/6X/w//hAAAAHgA+AF0AewCYALIAywDjAP0BGwE/AWkBlgHDAe8CFQI2AlMCcQKRArYC3wMLAzgDYwONA7YD4AQMBDwEbAScBMgE8AUTBTIFTgVpBYQFngW4BdIF7QYKBigGSAZnBoQGmwatBrkGwAbEBskGzwbXBuMG8QcABxAHHwcsBzgHRAdRB2IHeQeVB7QH0AflB+8H7QfiB9MHxgfAB8QHzgfbB+gH7wfzB/QH9gf6CAIIDAgWCB0IIAggCB4IHQgeCCMIKwg2CEIITQhVCFcIUAhACCcICwfxB+EH2wfgB+oH8gfwB+MHywewB5YHggd3B3EHbQdoB2MHYQdmB3QHiQeeB60HrgehB4sHdAdkB2EHagd6B4kHkQeRB4wHiAeJB5MHpQe7B9EH5gf3CAUIEQgZCB4IHAgVCAsIAQf8B/0IBAgRCB8ILgg9CE4IYwh8CJUIrQi/CMkIzgjRCNUI3wjtCP8JEAkfCSkJMAk2CTwJQglICU4JUQlSCVAJSwlCCTYJJgkSCPoI4AjBCJ8IdghFCAkHwAdpBwEGhwX6BV4EvgQtA8ADiwOdA/YEhwU3BecGfgbtBzQHWwdzB4cHoAe/B94H+wgSCCQIMgg9CEUISAhFCDwIMQgpCCcILAg0CDcIMQggCAcH7AfXB8kHxQfFB8MHvQexB6MHlgeMB4UHgAd4B2wHXQdMBz8HNgcyBzEHMActByYHHAcRBwcG/wb3Bu4G5AbYBssGvQaxBqYGnQaVBpAGiwaIBoMGfAZ0BmsGYwZfBmAGZwZyBn0GhAaGBoMGewZyBmoGZAZgBlsGVQZOBkgGRgZJBhIGHgYsBjcGPgY/BjwGNgYxBi0GKwYsBi4GMwY6BkQGUQZgBnAGfwaLBpYGnwanBrAGuwbHBtYG5gb3BwgHGQcqBzsHTQdeB3AHggeUB6YHuAfMB+AH9wgPCCkIRAheCHcIjwimCLoIzQjdCOwI+AkDCQwJFQkgCS4JPglQCWIJdQmGCZUJowmwCbwJxgnQCdcJ3AnfCeEJ5AnoCe4J9Qn9CgMKCAoMCg8KFAobCicKNwpKClsKaApuCm4KaAphCl4KYgpuCoEKmQqyCsgK3QruCv4LDQsaCyYLLws3Cz4LRgtQC10LaQtyC3YLdAtuC2YLYAteC2ELaAtxC3wLiAuXC6kLwAvaC/MMCwweDC4MPQxMDFwMbQx9DIoMlAycDKIMqgy1DMAMywzTDNcM2wzgDOoM+Q0NDSMNNg1EDU4NVQ1dDWgNdw2IDZcNog2nDaYNpA2iDaINpA2nDacNpg2jDaANng2fDaENog2iDZ8NmQ2RDYoNgw18DXMNaA1ZDUcNMw0hDRINBw0ADPwM+gz4DPcM9QzzDPIM8QzxDPEM8wz1DPgM+wz+DP4M/Qz7DPgM9QzxDOwM5QzcDNMMyQzCDL4MvgzADMQMxwzKDMwMzgzRDNYM3AzfDN8M3AzXDNAMygzEDL4MtQyoDJYMgAxqDFUMQww2DCwMJAwdDBYMEQwPDBAMFAwZDB4MIQwjDCYMKgwwDDcMPQw+DDkMLgwfDA0L+wvqC9oLyQu2C6QLkguCC3ULaAtcC0sLNwsgCwkK9grrCuoK8Ar5CwILBwsHCwIK+gryCusK6ArnCukK7ArvCvEK7wroCtsKxwquCpEKdApYCj0KJQoNCfcJ4wnTCccJwAm8CbkJsQmiCYsJbglPCTIJFwj/COUIwQiPCEoH8weOByIGuQZXBgIFuQV7BUUFFgTsBMUEowSFBGsEUwQ+BCgEEgP6A+EDyAOwA5gDgANnA04DMwMXAvkC2QK3ApQCcQJOAi0CDgHzAdoBwQGpAY4BcAFQAS8BDQDtAM0ArgCPAG8ATQArAAj/5v/G/6b/h/9n/0b/JP8D/uT+yf6x/pz+if52/mD+Rv4p/gf94/29/Zn9d/1a/UL9MP0j/Rj9D/0E/Pb85fzQ/Lf8m/x9/F78Pvwf/AL75vvL+7H7l/t8+2D7Q/sk+wX65vrI+qr6jPpu+k/6MPoR+fP51vm5+Z75g/lo+Uz5L/kP+O/4zfit+I34cPhU+Dr4IPgG9+z30ve49573hfdt91T3Pfcl9w72+fbj9s72uPah9on2b/ZW9j72KfYV9gP18vXi9dH1v/Wu9Zz1i/V69Wn1VvVD9TH1IPUQ9QP09/Tr9N30zfS69KX0j/R59GT0UPQ/9C/0IfQU9Anz//P28+3z4/PY88vzvvOw86TzmvOS84zzhvOA83nzcfNq82XzYfNg82HzY/Nk82TzYvNf81zzWfNW81TzUvNS81LzVPNY813zYvNl82bzZPNf81rzWPNZ81/zavN384TzkfOe86nztPO/88nz1PPd8+bz7/P59AP0DPQU9Br0HfQe9CD0JfQt9Dn0RfRQ9Fb0WfRY9Fb0V/Rb9GP0bfR59Ib0lPSj9LL0wfTO9Nf02/Tb9Nj01fTQ9Mn0vfSq9I70bfRO9DX0KfQs9Dj0R/RR9FH0RfQz9CH0FfQU9Br0IvQj9Bbz+PPJ843zTfMQ8tryrvKL8nDyW/JJ8jfyJPIP8ffx3fHC8abxi/Fy8VzxSPE18SDxCfDt8M3wqvCG8GPwQvAn8BHwAe/17+rv3u/O77nvn++D72bvTO817yPvEu8C7vDu2u7D7qvulO6C7nLuZO5X7knuO+4u7iLuGe4S7g3uB+4A7fft7e3j7dvt1e3Q7c3tyu3I7cjtyu3O7dXt3e3k7ert7u3w7fPt+O3+7gTuCu4P7hPuFu4a7iDuJ+4v7jfuPu5F7kvuU+5c7mbucu5+7orule6f7qnus+677sLux+7K7szuze7P7tXu3e7p7vbvBO8R7xzvJe8u7zXvPO9F707vWe9m73Lvf++K75XvoO+q77bvw+/T7+Xv9/AJ8BrwKPA18EDwSvBU8F/wa/B48IbwlfCl8LXwxfDW8Ofw+fEM8SDxNfFI8VnxaPF18YHxjfGa8anxufHK8dzx7fH+8g7yH/Iv8j/yT/Je8mzyefKI8pfyp/K38sfy1fLj8vDy/PMI8xTzIvMv8zvzSPNS81zzZfNs83LzePN984PzifOQ85fznvOk86nzrfOw87PzufO/88jz0PPZ8+Dz5fPq8+3z7/Py8/Xz+fP99AL0BvQL9BD0FvQb9CL0KfQy9Dr0Q/RL9FH0VvRZ9Fz0X/Rh9GP0ZvRo9Gn0bPRv9HX0ffSH9JL0nvSp9LL0uvTB9Mf0zfTT9Nj03vTl9O30+PUF9RT1JPUz9UD1SvVS9Vj1XvVl9W71d/V/9Yf1jvWV9Zz1pPWs9bL1tvW39bX1s/Wz9bj1wvXR9eT1+fYO9iP2NvZJ9lv2bPZ79of2jfaP9o/2jvaO9pH2lvae9qb2r/a29rz2wfbG9sv20PbW9t725/by9v33CfcT9xv3Ifcm9yr3Lvcz9zf3O/c89zv3Ofc39zX3M/cy9y/3Kvcj9xv3E/cO9wz3DPcP9xT3Gfce9yP3J/cs9zD3Mvcy9zH3MPcx9zX3PPdI91b3Z/d695H3qffE9+D3/PgW+Cz4PvhL+FT4Wvhc+Fv4V/hR+E74T/hW+GX4eviS+Kr4v/jR+OD47/j++RD5I/k3+Ur5W/lq+Xf5hPmQ+Zz5pvmw+bj5v/nH+dH53Pnq+fv6D/om+j/6W/p1+oz6nfqm+qj6p/ql+qf6sPq/+tP66Pr8+w37G/so+zj7Svtg+3f7jfui+7T7xfvX++r7//wX/C78RPxW/GX8cfx7/Ib8kvyf/K78wPzS/Ob8+/0R/Sf9O/1O/WD9cP2B/ZL9pP23/cn92/3s/fz+C/4c/i/+RP5a/nH+hv6Z/qv+vP7P/uT+/f8Y/zX/VP9z/5H/r//O/+0ADwAxAFIAcgCOAKcAvADSAOoBCQEvAV0BjwHBAe4CFAIyAksCYwJ/AqACxgLvAxgDPgNiA4UDrAPXBAoEQQR5BK8E3wUHBSgFRQVhBXwFmAW1BdIF7wYLBiYGQgZdBngGkAalBrUGwAbHBswG0QbZBuQG8gcCBxMHIwcxBzwHSAdXB24HjQe0B98IBggjCDIILwggCAoH8wfjB9wH3AfgB+UH6AfqB+wH8Af4CAIIDAgUCBcIFQgRCA0IDQgTCB8IMAhECFYIZAhoCGEITggxCA4H7AfRB8IHvwfCB8UHvwesB40HZwdFBy0HIgciByYHJAcXBwAG5QbNBsAGwAbIBtEG1AbOBsIGuQa7Bs4G8gciB1YHhAenB78H0QfgB/EIBQgaCC0IOwhDCEYIRAg/CDYIKQgZCAcH+AfuB+wH8wgBCBUILQhGCGAIfAiYCLIIxwjWCN8I4gjjCOcI7wj8CQ0JHgksCTYJPQlBCUQJRwlJCUsJSglGCUAJOQkvCSQJFgkDCOkIxgiYCF8IHAfOB3YHFwavBj8FxQVFBMQETgPxA74DwwQDBHsFFwXBBl8G3gc1B2kHhAeTB6EHtQfOB+kIAggXCCcINQhACEkITQhNCEgIQgg8CDoIOwg8CDgILAgXB/0H4QfKB7kHrQekB5oHjQd9B2wHXgdVB08HSgdCBzcHJwcWBwYG+gbxBusG5QbeBtUGywbCBroGtAauBqgGoAaXBowGgAZ0BmgGXgZVBk4GSgZHBkUGQgY+BjYGLgYnBiQGJQYrBjQGPAZCBkQGQwZABjwGOAYzBisGIgYXBg4GCQYKBekF8gX9BgcGDwYUBhUGFAYTBhIGEQYRBhMGFgYdBigGNQZGBlcGZgZ0Bn4GhwaQBpoGpQa0BsQG1QbnBvoHDQcgBzQHSQdeB3QHiQeeB7QHyQfgB/kIEggtCEgIYwh9CJcIrwjFCNkI6gj5CQUJDgkVCRwJJAkuCTwJTAleCXAJggmSCaEJrgm6CcUJzwnXCd0J4gnkCeUJ5gnnCeoJ7QnxCfQJ9wn7CgEKCQoVCiMKMgo/CkYKSApFCj8KOgo7CkMKVAprCoUKnQqxCsAKzArXCuIK7wr9CwsLFgsfCycLLws4C0ILSwtSC1ULVAtQC0sLSAtJC04LVQteC2cLcgt/C48Lowu5C9AL5Qv3DAgMGAwoDDoMSwxbDGkMcwx7DIMMjAyWDKIMrAyzDLgMvAzCDM0M3QzxDQQNFQ0hDSgNLQ0zDT4NTA1bDWkNcw13DXgNdw13DXkNfA1+DX0Neg10DXANbg1vDXQNeA16DXcNcA1lDVkNTg1DDTgNLQ0hDRQNBwz8DPMM7AzoDOUM4QzdDNgM0wzPDMwMygzJDMkMygzNDNAM1AzWDNcM1QzRDM0MyAzDDL8Mugy1DK4MpwyiDJ8MnwyjDKcMrAywDLMMtQy4DLwMwQzEDMUMwwy+DLcMrwymDJwMkgyFDHUMZAxRDEAMMQwmDBwMFQwPDAkMBQwDDAIMBAwHDAkMDAwODBEMFgwdDCMMJwwnDCEMFQwEC/EL3gvMC7oLqguZC4gLdwtnC1cLRws1Cx8LBgrrCtEKvAqtCqYKpgqrCrEKtgq4CrgKtwq2CrcKugq9CsEKwwrBCr0KtAqnCpYKggprClQKPQonChEJ/AnoCdYJyQnCCcAJwgnFCcIJtQmcCXgJTQkiCPwI3gjJCLYInQh4CEAH9AeYBzIGywZpBhIFyAWKBVYFKAT/BNkEtQSUBHQEVgQ4BBsD/QPgA8QDqAOPA3gDYQNMAzUDGwL/At8CuwKVAm0CRgIgAf4B4AHHAbABmQGCAWcBSQEnAQMA3wC8AJsAfABeAEAAIQAC/+H/wf+g/4H/Yf9C/yL/Af7g/sH+pP6K/nP+Xv5J/jP+Gv38/dz9uv2Y/Xn9Xv1J/Tj9Kv0f/RT9B/z5/Of80/y9/KT8iPxs/E78MPwS+/X72fu/+6T7ifts+077LvsO+u76z/qy+pb6e/pf+kL6JPoE+eT5xfmn+Yr5bvlT+Tb5F/j2+NT4sfiQ+HL4Vfg6+CD4Bffq9833sfeW9333ZfdP9zj3IfcJ9vD21/a/9qf2kPZ59mH2SvYy9hv2BfXy9eH10vXC9bP1ovWR9YD1bvVd9Ur1OPUk9RH0//Tv9OH01vTL9L/0svSh9I70evRk9E70OvQm9BT0A/P08+bz2/PQ88bzvPOw86PzlfOH83nzbvNl813zVvNP80bzPfM08yzzJ/Ml8yXzJvMo8yjzKPMm8yTzIfMf8x7zHPMb8xvzHPMf8yTzKfMs8y3zK/Mn8yLzHvMe8yHzKPMy8z3zSfNU81/za/N484Pzj/OY86HzqvO087/zy/PV897z4vPk8+Xz5/Pt8/b0AvQO9Bb0GvQa9Bj0F/QY9B30JvQx9D30S/Ra9Gv0e/SL9Jj0ofSl9KT0ovSd9Jf0jvR/9Gn0TPQr9A3z9vPt8/Dz/fQM9Bf0GPQP8//z7fPf89jz2fPd8+Hz3PPM867zg/NQ8xfy3/Kr8n3yWPI78iTyEPH98efxz/Gy8ZTxdfFY8T/xKfEW8QTw8PDZ8L3wnPB48FPwMPAS7/nv5+/a78/vw++076Hvie9u71LvOO8g7wru9u7i7szutu6h7o3ue+5s7l7uUO4/7i3uGu4J7frt8e3s7ent5u3h7drt0O3G7b3tte2v7avtp+2k7aPto+2m7avtse237b3tw+3I7c7t1O3a7eDt5e3o7ent7O3v7fXt/O4F7g/uF+4f7ibuL+457kbuU+5g7mzud+5/7ofuj+6W7p3uou6m7qfup+6o7qzutO7B7tHu4+707wTvEe8c7yXvLe807zvvQu9J71DvWO9h72vvdu+C74/vnu+u777vz+/g7+/v/vAL8BfwIvAs8DjwRPBT8GPwdfCG8JfwpfCx8L3wyvDY8Onw+/EP8SLxM/FC8VDxXfFr8XnxiPGY8ajxuvHL8d7x8PID8hTyJPIz8kDyTPJZ8mfydfKD8pLyoPKt8rryxvLS8uDy7fL78wjzFfMg8yvzM/M68z/zQ/NG80nzTfNS81jzXfNj82jzbfNx83fzffOE84zzlfOd86TzqvOw87XzuvO/88TzyfPM88/z0fPS89Tz1/Pb8+Dz6PPx8/v0BfQO9Bb0HPQg9CP0JvQp9C30MfQ09Db0OPQ59Dv0P/RF9E70WPRj9G30d/R/9Ib0jPSS9Jj0nvSk9Kr0svS79Mb00/Tf9O30+vUH9RP1IfUu9Tz1SfVU9V/1afVz9X71iPWR9Zf1mvWY9ZX1kPWN9Yz1j/WW9Z71p/Wx9b31y/Xd9fL2CvYh9jb2R/ZT9lr2X/Zj9mj2bfZ09nr2gPaF9or2jvaR9pX2mfae9qX2rva49sP2zvbY9uD25vbs9vL2+Pb/9wX3CfcL9wr3B/cE9wL3AvcE9wX3BfcC9v329/bz9vD28vb29vz3A/cK9xH3Fvcb9x/3Ivcl9yb3KPcq9y33MPc19zr3QvdN91v3bfeD95r3svfJ99337vf9+Ar4F/gi+Cz4M/g3+Dv4P/hG+FD4X/hv+ID4kPid+Kn4tfjD+NP45fj4+Qz5H/kx+UL5U/lj+XP5gvmQ+Z75qvm1+cD5yvnV+eH57vn/+hT6LPpG+l/6c/qC+ov6j/qT+pr6pPq0+sf62vrs+vv7CfsW+yb7OPtM+2D7cft/+4n7kvub+6j7uvvP++j8APwX/Cv8PvxP/F/8cPyC/JT8p/y7/M/84/z4/Qz9Hv0v/T/9Tv1e/W/9gf2W/az9wf3V/ej9+v4M/h7+Mf5E/lb+af57/o3+of63/tD+6/8J/yj/Rv9l/4P/of/A/+EAAwAmAEgAZwCDAJsAsQDHAOEBAwEtAV4BkgHGAfMCGAI0AksCYQJ5ApcCugLgAwUDJgNGA2QDhgOvA+EEGARUBI0EwQTvBRUFOAVaBX0FoQXFBeYGAgYaBi4GQQZTBmgGfgaVBqsGvgbMBtcG3wbnBvEG/QcNBx4HMAdAB08HXgdvB4QHnwfAB+QIBQggCDEINQgxCCcIHAgSCAsIBggBB/sH8gfqB+QH4gflB+sH8gf5B/4IAggGCA4IGggrCD0ITwhdCGMIYAhTCDsIGgf1B9IHtgemB6MHqQexB7IHpQeHB10HMwcVBwoHFgcwB0sHWgdSBzEG/gbEBpEGawZVBkgGQQY6BjUGNwZIBmwGpAbrBzYHfAe1B+EIAQgbCDQITghnCHsIiAiKCIMIcwheCEYILggXCAMH9QfuB+8H+wgOCCkIRwhoCIkIpwjACNII2wjdCNoI1QjTCNcI5Aj4CQ8JJgk3CUEJRglGCUQJQwlDCUIJPwk6CTIJKAkeCRIJBQj1CNwItwiACDcH2gdsBvMGcwX0BXsFCgSnBFcEHgQGBBUETwSzBTYFyQZbBtkHOAd2B5YHpAeqB7IHvwfSB+cH+ggLCBkIJAgtCDUIOwg9CD4IPAg6CDcINAgtCCEIDgf2B90HxAexB6IHlgeLB3wHawdWB0IHMgcmBx4HGQcSBwkG/QbvBuEG1AbKBsAGtQaqBp4GkQaGBn0GdgZyBm4GagZlBl8GVwZMBj8GMQYjBhkGEgYQBhEGFAYUBhEGCwYBBfgF8gXxBfQF+gYCBgkGDwYTBhUGFQYRBgsGAgX3Be0F5wXlBdcF2wXhBeYF6wXuBfAF8QXzBfUF9wX6Bf4GBAYNBhkGKQY6BkwGXAZrBncGgQaLBpUGogaxBsEG0wbnBvsHEAcnBz8HVgduB4UHmweyB8kH4Qf6CBQILwhJCGMIfAiVCK0IxAjbCPEJAwkRCRsJIgkmCSoJMAk5CUUJVAlkCXUJhQmTCaAJqwm1Cb8JyAnQCdYJ2wnfCeEJ4gnjCeQJ5QnmCegJ6wnwCfgKAgoOChkKIQokCiMKHQoXChQKFwolCjoKVQpyCooKmwqlCqkKrAqyCrsKygrbCu0K+wsGCw8LFgseCycLLws1CzkLOAs2CzMLMgs1CzoLQwtMC1YLYAtsC3sLjAueC7ELxAvWC+YL9gwHDBgMKAw3DEMMTQxVDF0MZwxyDH4MigyTDJsMowysDLoMygzdDO4M+w0DDQgNDA0SDRsNJg0zDT0NRA1HDUkNSg1MDVENVQ1XDVcNUg1NDUkNRw1JDU0NUQ1RDUsNQQ00DSYNGQ0ODQUM/AzzDOoM4gzaDNMMzgzJDMMMvQy2DK8MqgymDKMMogyiDKIMowymDKkMrQywDLEMrwysDKYMoAybDJgMlQySDI8MjAyJDIgMiAyLDI8MkwyXDJkMmwydDKEMpgyqDK0MrAyoDKAMlgyKDH4McgxmDFoMTgxBDDMMJgwaDA8MBQv8C/UL8AvuC+4L8Qv1C/oL/wwCDAUMCAwLDA0MDQwJDAEL9QvlC9MLwAuvC54Ljgt/C3ALXwtNCzoLJQsNCvMK2Qq/CqgKlQqICoEKfQp8CnwKewp6CnkKegp+CoMKiQqOCpAKjQqFCngKZgpSCj8KLAocCg4KAgn2CegJ2QnKCbwJsgmtCa4JsQm0Ca8JoAmECV4JMAkCCNkIuAifCIgIbQhICBIHywd2BxgGuAZdBg0FyAWQBWEFOAUTBPAEzASpBIUEYgRABB4D/APcA7wDnAN+A2IDSAMvAxcC/gLiAsICngJ3Ak4CJAH7AdcBtwGcAYUBcQFcAUQBKAEHAOIAvACVAHAATwAwABP/9//a/7v/nP97/1r/OP8X/vf+1v63/pn+ff5k/k7+OP4j/g398/3W/bj9mP17/WL9Tv0//TP9Kv0g/RP9BPzx/Nz8xfys/JP8ePxc/D/8IPwC++T7x/ur+5D7c/tV+zX7E/rx+s/6r/qS+nb6XPpD+in6Dfnv+c/5r/mP+XH5U/k2+Rn4+fjZ+Lb4lPhz+FT4N/gb+AD35PfH96n3jPdw91j3Qfct9xj3A/br9tL2t/ad9oT2a/ZU9jz2JPYN9fb14PXN9bv1rPWd9Y71fvVt9Vz1S/U69Sj1FvUD9PD03fTM9Lz0rvSi9Jf0i/R89Gz0W/RI9DX0IvQP8/zz6fPX88fzuPOq85/zk/OI83vzbfNe80/zQvM48y/zKfMi8xvzEvMJ8wDy+fL08vLy8vLy8vLy8vLx8vDy7/Lu8u3y7fLs8uvy7PLu8vHy9fL48vny+fL28vLy7/Lu8u/y8/L58wDzCfMT8x/zK/M480TzTvNX81/zZ/Nw83zzifOU853zofOi86HzofOm87DzvvPN89nz3/Pg893z2fPW89fz3fPn8/P0AvQS9CP0NvRJ9Fv0afRy9Hb0dfRy9G30ZfRY9Eb0LfQO8+3z0fO987bzuvPI89fz4vPk89zzy/O286TzmPOT85TzmPOY85Dze/Na8y3y+fLC8o3yX/I48hryAvHt8dfxvfGf8X7xW/E68R3xBPDx8OHw0vDB8Kzwk/B28FXwMvAQ7/Dv0u+476HvjO9372PvUO887yrvF+8F7vHu2+7D7qruku577mjuWO5L7j/uMu4i7g/t/O3p7drt0O3L7cjtxe3B7bvts+2r7aTtnu2Z7Zbtk+2Q7YztiO2F7YPtgu2D7YXtiu2S7Zztp+2y7bvtwu3F7cftye3M7dLt2e3h7ejt7e3w7fTt+u4E7hHuIu407kXuVO5f7mjucO537n7ug+6H7onuiu6L7o7ulO6e7qvuu+7N7t7u7+7/7w3vGu8l7y7vNO837zrvPO9A70bvT+9b72jvde+C747vm++p77fvx+/W7+bv9PAD8BHwIfAy8ETwV/Bp8HnwhvCQ8JjwoPCq8LbwxfDX8Onw+/EN8R7xL/E/8U7xXfFr8XrxifGa8avxvvHR8eTx9vIF8hPyIPIr8jfyQ/JQ8lzyaPJ08oDyjPKZ8qbys/LA8szy2PLi8uzy9fL88wLzCPMM8xDzFPMZ8x3zIfMm8yrzLvMz8znzQPNI81DzV/Ne82TzavNw83bzfvOG847zlPOZ85zznfOe857zoPOi86bzrPOz87zzxfPN89Xz2/Pf8+Tz6PPt8/Pz+fP+9AH0A/QD9AP0BPQG9Ar0EfQZ9CH0KvQy9Dr0QfRJ9FD0WPRf9Gb0bvR29H/0ivSX9KX0tfTF9Nb05vT09QH1DPUW9SH1LfU69Ur1WvVo9XT1fPWB9YL1gvWC9YH1gfV/9Xv1dfVw9Wz1bfV19YT1mfWx9cr14fX29gj2GPYl9jL2PPZF9kv2UPZU9lf2W/Ze9mH2ZfZp9m72dfZ+9oj2k/ad9qb2rva19rz2w/bK9tD21PbV9tP20PbM9sv2zPbP9tT22Pba9tr22PbX9tf22fbd9uL26Pbu9vP2+Pb99wL3B/cM9xH3FfcZ9xz3Hvch9yX3K/c090H3Uvdk93j3ifeZ96X3r/e598P3z/fc9+r39/gD+A34F/gi+DD4P/hP+F/4bvh6+IT4jfiX+KT4s/jE+Nf46vj9+RD5Ivk0+Uf5Wfls+X75kPmi+bL5v/nK+dT53fnn+fT6BfoY+iz6P/pP+lz6Zvpw+nv6ivqc+rD6xPrX+uf69/sG+xb7KPs5+0f7UvtX+1n7Wftb+2P7cPuE+577ufvV+/H8Cvwj/Dr8UPxl/Hn8jfyh/LX8yvze/PH9A/0T/SH9Lv08/U39YP11/Yz9o/25/c794f3y/gP+FP4m/jj+S/5f/nX+jf6n/sP+4f7//x7/PP9a/3f/lv+2/9f/+QAcAD0AXAB5AJMArQDIAOcBCwE1AWUBlgHGAfACEwIwAkgCYAJ7ApwCwALmAwoDKwNHA2IDfgOgA8oD+wQxBGgEnQTOBPsFJgVRBX0FqQXTBfgGFgYtBj4GTAZZBmoGfQaTBqsGwAbSBuAG6gbyBvkHAwcQByEHMwdGB1kHawd8B40HngevB8EH0gfhB+0H9gf8CAEIAwgCB/8H9wfrB90HzgfCB7sHuge/B8kH1QfkB/UICggjCD8IXQh4CIwIlAiPCHwIXgg5CBAH6AfGB60HogemB7YHzQfhB+gH3gfBB5kHdAdfB2UHiAe+B/kIJQg0CCIH8QewB2wHMQcFBugG1AbGBr0GuwbFBt4HBQc2B2gHkwexB8QH0AfcB+8ICggrCEsIZAhwCG0IXAhECCoIFQgHCAMIBwgSCCEIMwhHCF4IdwiSCKwIxAjXCOAI4AjWCMgIuwi1CLoIzAjnCQYJJAk6CUYJSQlHCUIJPgk9CTwJOgk1CSwJHwkQCQAI8QjgCMoIpwhxCCMHuwc6BqoGEwWDBQUEoQRfBEAERARrBLAFDwWBBfwGdQbgBzYHcgeUB6MHpgelB6cHrge5B8YH0wfeB+YH7AfxB/UH+Qf9CAAIAwgECAIH/AfxB+AHyQewB5cHggdzB2cHXgdTB0UHMwceBwgG9gboBt4G1wbQBskGwQa4BrAGqAagBpgGjgaCBnQGZgZYBkwGQwY9BjkGNwY1BjMGLQYkBhcGBwX3BeoF4QXfBeIF6AXsBe0F6QXfBdQFygXFBcQFxwXOBdYF3QXjBecF6QXpBecF4wXeBdkF1gXVBc0F0AXSBdQF1QXWBdcF2QXdBeEF5gXsBfIF+wYFBhIGIgYzBkQGVQZlBnMGgQaOBp0GrAa9Bs8G4wb4Bw8HJwc/B1gHcQeIB58HtQfLB+MH/AgWCDIITAhmCH0IlAiqCMEI2AjvCQUJGAkmCS8JNQk3CTkJPglFCU8JXQlrCXkJhQmQCZkJoQmpCbEJuQnBCckJ0AnVCdoJ3QnfCeAJ4QniCeQJ6AnuCfUJ/AoCCgUKBAn/CfkJ8wnxCfcKBwoeCjwKWQpyCoMKigqJCoYKhAqJCpQKpwq8CtEK4wrxCvsLAwsKCxILGQsfCyELIAsdCxoLGQsbCyILKgs1C0ALTAtYC2ULdAuDC5QLpAuzC8IL0QvhC/EMAQwPDBwMJwwxDDsMRgxRDF0MaAxzDH4MigyXDKcMuAzIDNcM4QzoDOwM8Qz3DQANCg0UDRsNIA0hDSINIw0nDSsNMA0yDTINLw0sDSkNKQ0qDSsNKQ0kDRoNDQz/DPMM6gzkDOAM3AzWDM4Mxgy9DLUMrQymDJ0MlQyNDIcMgwyBDIAMgAyBDIAMgAyADIEMhAyHDIoMigyIDIQMgAx8DHkMeAx4DHcMdwx2DHUMdQx3DHkMfAx+DIAMggyFDIkMjwyWDJsMnAyZDJEMhQx4DGoMXgxUDEoMQAw1DCkMHAwODAEL9AvqC+IL3AvaC9wL4AvmC+0L8wv3C/gL9wv0C/AL6wvkC9oLzwvAC7ALnwuOC34LcAtjC1YLRws3CyMLDAryCtgKvgqoCpcKiwqDCn0KeQpyCmsKYQpYClEKTQpOClIKVwpaCloKUwpGCjMKHQoGCfIJ4QnVCc0JyQnECb4JtAmpCZwJkgmKCYYJhAmCCX0JcAlaCTwJGAjxCMwIqAiHCGQIPQgOB9QHjgdABu0GmQZKBgMFxgWSBWYFPwUbBPcE0gSsBIYEYAQ8BBoD+APXA7YDlANxA08DLwMPAvIC1QK4ApgCdgJPAiYB+wHQAakBhwFqAVMBQAEuARsBBADnAMUAoAB5AFMAMAAR//X/2//A/6P/g/9f/zr/FP7u/sr+qP6I/mv+Uv48/ij+Fv4D/e/91/27/Z39f/1j/Uz9O/0v/Sf9H/0W/Qn8+Pzj/Mz8s/yZ/H/8Y/xG/Cf8B/vm+8b7p/uK+277Ufs1+xb69vrV+rP6kvpy+lX6O/oi+gj57vnS+bP5k/ly+VL5MvkU+Pb41/i3+Jb4dPhS+DL4FPf299r3vveh94T3aPdO9zX3H/cL9vb24fbK9rH2l/Z99mT2TPY09hv2AvXo9c/1t/Wh9Y71fvVv9WD1UPU/9S31G/UK9Pn06fTY9Mj0tvSm9Jb0h/R59Gz0XvRQ9EH0MfQg9A/z/vPt89vzyfO286PzkvOD83bzavNe81HzRPM18ybzGPMM8wPy/PL28u/y5/Le8tXyzvLI8sTyw/LC8sLywfLA8r7yvPK78rvyu/K88r7ywPLC8sXyyPLK8sryyfLH8sTywfLA8r/ywfLF8sry0vLb8uby8vL98wfzDvMU8xnzIPMo8zTzQfNN81bzWvNZ81fzVvNa82bzdvOI85nzo/Ol86HzmvOU85HzlPOc86jzt/PI89vz8PQF9Br0LfQ79EP0RfRD9D70N/Qs9B30CPPu89Hzs/Oa84rzhvOL85jzpfOt863zpPOU83/zbfNf81fzVPNT81DzRfMx8xLy6fK78ozyYPI68hvyAvHs8dXxvPGd8XvxVvEy8RDw9PDe8Mzwv/Cz8KbwlvCC8GnwSvAl7/vvzu+g73TvTO8q7xDu/e7x7uru5O7d7tLuwe6r7pDudO5a7kPuMO4i7hbuC+3/7fLt4+3U7cftu+2y7arto+2d7Zbtke2M7YntiO2H7Yfthe2C7X3tdu1t7WPtWu1T7U/tUe1Z7Wbtdu2H7Zbtoe2n7artre2w7bXtu+3B7cXtx+3H7cbtye3R7d/t8u4I7h3uMO4+7knuUe5Y7l7uZO5p7m3ucO5y7nXuee5/7ojuku6f7q3uvu7Q7uTu+O8K7xnvI+8p7yzvLe8v7zPvOu9C70vvU+9b72Lvae9z74Dvj++h77Tvxu/X7+jv+fAL8B3wMfBD8FTwYvBt8HfwgPCJ8JPwn/Cu8L3wzvDg8PLxBfEX8SfxNvFE8VHxXfFr8XnxivGc8a/xwfHR8eDx7fH58gTyD/IZ8iTyL/I68kfyVPJh8m7ye/KH8pLym/Kj8qrysfK48r/yxvLN8tTy2/Lh8ufy7PLw8vTy9/L88wHzB/MO8xXzG/Mh8yXzKvMw8zfzP/NI81HzWfNe82LzZPNl82fzafNr82/zc/N4837zhPOK85DzlvOc86LzqPOu87Xzu/PC88fzyvPL88zzy/PL883z0PPV89zz4/Pr8/Pz+/QC9Ar0EvQa9CL0K/Q29EH0T/Rf9HD0g/SV9KX0s/S+9MX0zPTS9Nv05/T39Qr1H/Uy9UP1UPVb9WP1avVw9XT1dvVz9Wz1YPVS9UP1OfU09TX1PfVJ9Vn1a/V/9ZX1rfXF9dz18fYC9g/2GPYg9iX2K/Yw9jX2OfY89j72QvZH9k/2WfZk9m72ePaB9oj2kPaW9pz2n/ah9qD2nvac9pv2nPaf9qT2qvau9rL2tPa29rj2vPbA9sT2yfbN9tH21fba9t/25Pbq9u728/b29vr2/vcD9wv3Fvcl9zf3S/dg93L3gveO95X3mvee96L3p/eu97b3v/fJ99P33/fu+AH4Ffgq+D/4UPhe+Gn4c/h8+Ib4lPik+LX4yPjb+Oz4/fkO+R35LvlA+VP5Z/l8+ZD5ovmx+b35x/nP+dn54/nw+f/6Dfoc+in6NvpE+lX6aPp8+pL6p/q6+sv62/rq+vv7C/sb+yj7Mfs2+zf7OPs6+0L7T/tj+337mfu3+9T78fwM/CX8O/xQ/GP8dfyG/Jn8rPzA/NP85fz1/QP9Ef0f/S/9Qv1Y/W/9h/2d/bL9xf3X/en9+/4O/iL+N/5N/mX+f/6b/rf+1P7x/w7/Kv9H/2b/hv+n/8j/6gAMACwASwBpAIcApgDGAOgBDgE2AWEBjAG1AdwB/gIdAjoCWQJ7AqECygLzAxoDPQNaA3MDiwOlA8UD6wQXBEcEeASpBNoFCQU5BWgFlwXDBewGEAYuBkgGXQZwBoIGlAalBrYGxQbSBt0G5QbtBvYHAAcNBx0HLwdDB1cHaQd4B4IHhgeGB4MHfgd6B3cHdwd5B3sHfAd5B3MHagdhB1sHXQdnB3sHlge0B9IH7wgMCCkISwhwCJgIvgjaCOcI4gjKCKMIcwhCCBUH8AfXB8sHzQfdB/cIFggxCEEIPggqCAwH8AflB/YIJghuCMAJCQk5CUkJOgkUCOUIuQiWCH0IawhbCEoIOQgqCB8IFwgPCAAH5wfCB5YHawdOB0cHWQd+B60H2gf6CAgIBgf5B+0H6gf0CAwILAhPCGwIgAiKCI4IkQiWCKAIrwi/CMoIzgjJCL4IsgirCK4IvQjXCPUJEwkpCTYJOQk3CTEJLgktCS0JLgkqCSEJEgj+COkI1AjACKkIighcCBcHuAdABrYGJQWcBSoE2QSxBLIE2AUbBXEF0AYvBocG0wcOBzkHUwdiB2cHaAdpB2wHcgd5B4EHiAeNB5EHkgeTB5QHlgeYB5wHnweiB6EHnAeQB34HaAdQBzkHJQcXBwwHAwb6Bu4G4AbPBr8GsAakBpsGkwaLBoMGfAZ1BnAGbAZpBmQGXwZXBkwGQAYzBicGHAYUBg4GCgYHBgQF/wX4BewF3gXPBcIFuQW2BbgFvAXBBcIFwAW6BbIFqwWnBaYFqQWtBbEFtQW3BbkFugW7Bb0FvwXCBcQFxwXJBbkFvgXBBcQFxgXIBckFzQXRBdYF3QXkBesF9AX9BgkGFgYlBjYGRwZZBmwGfwaSBqUGuQbNBuIG9wcNByQHOwdTB2sHgweZB68HxQfcB/YIEQgtCEoIZQh+CJUIqwjBCNcI7gkFCRoJLAk4CUAJRAlGCUkJTQlTCVwJZglwCXkJgQmICY0JkwmaCaEJqQmxCbgJwAnGCcwJ0QnUCdgJ2wneCeIJ5wnsCe8J8AnuCekJ4gnaCdUJ1QndCe0KBAogCjsKUgphCmcKZQpfClkKWQphCnEKhwqfCrYKygrYCuQK7Ar0CvsLAAsDCwMLAQr+CvsK+wr/CwULDwsaCyULMAs7C0YLUgtfC20LeguHC5QLoguwC8AL0AvhC/EMAAwODBwMKAw0DD4MSAxTDF4MbAx7DI0MngyuDLsMxAzKDM8M1QzdDOcM8gz7DQINBQ0HDQcNCA0KDQwNDQ0NDQwNCg0IDQcNCA0IDQYM/wzzDOUM1gzJDMEMvgy/DMAMwAy8DLUMrAyhDJgMjwyGDH4MdwxwDGoMZwxlDGUMZAxiDGAMXQxaDFoMXAxfDGMMZgxnDGUMYwxhDF8MXwxgDGAMYAxfDF4MXgxfDGEMZAxnDGoMbQxxDHcMfgyGDIwMjwyMDIQMeQxrDF4MUgxIDD8MNQwrDB4MEAwCC/UL6gvgC9kL1AvSC9EL0wvXC9sL3wvgC98L2gvUC8sLwwu5C68LpAuXC4cLdQtjC1MLRQs7CzILKgsfCxAK/ArkCsoKsgqeCpAKhgqBCnwKdgptCmEKUgpCCjYKLQooCigKKQoqCigKIAoTCgAJ6gnTCb4JrAmfCZcJkgmPCYsJhAl7CW8JYglWCUwJRAk+CTYJLAkfCQwI9QjYCLgIkwhrCD4IDAfWB5oHWgcXBtEGjAZJBgoF0AWcBW0FQQUYBO8ExQScBHMETAQoBAYD5gPGA6UDgwNeAzgDEgLsAsgCpgKEAmICPgIXAe0BwwGYAW8BTAEuARYBBAD0AOUA0wC8AKAAgABdADsAG//+/+T/zP+y/5X/c/9O/yT++f7P/qb+gP5d/j/+Jf4P/fz97P3c/cn9s/2a/X39YP1F/TD9H/0U/Q39Bfz8/O783PzH/K78lPx5/F38QPwh/AD73fu6+5n7eftb+0D7JvsN+vL61/q5+pr6evpZ+jr6HfoB+eX5yvmt+Y75bflL+Sn5CPjo+Mn4qviL+Gv4S/gq+An36vfM97D3lfd792D3Rvct9xX2/fbm9s/2t/af9oX2bPZT9jz2JPYM9fP12fW99aH1hvVv9Vr1SfU59Sn1GPUG9PL03/TN9Lz0rfSf9JH0gvR09GX0V/RJ9Dv0LfQf9A/z//Pu893zzfO986zzm/OJ83fzZvNV80bzOfMt8yDzE/MF8vfy6fLe8tTyy/LE8rvys/Kp8qDymPKS8o/yj/KP8o/yjvKL8ofyhPKC8oHygvKE8ojyi/KP8pLylPKV8pXylPKS8pDyjfKL8oryivKM8pHymPKh8qvytvK/8sbyy/LN8tDy1PLc8ujy9fMD8wzzEfMQ8w7zDfMQ8xvzK/M/81HzXvNj82HzW/NT807zTfNS81zzafN6843zovO4887z4/P09AD0BvQH9ATz/fP08+jz2PPE86zzkvN682bzWvNW81vzY/Ns83HzcPNp81zzTPM98y/zJPMb8xLzBvL18t7ywfKg8n3yXPI+8iTyDvH58eTxzPGv8Y/xa/FH8SXxBfDq8NTww/C18KrwnvCR8H/wZvBD8BXv4O+k72jvLu7+7tjuv+6x7qzuq+6s7qnuoe6R7nzuY+5I7i7uF+4D7fTt6O3e7dTtyu2/7bPtpe2X7Yntfe107W3tau1q7Wvtbu1w7XHtcO1u7WrtZO1b7VDtRO057THtLu0y7T3tTe1f7XDtfe2G7Yvtj+2T7Zntn+2l7antq+2q7antqu2w7bztze3h7fXuB+4V7iDuKO4v7jbuPe5E7kvuUe5W7lvuYO5l7mrub+527oDujO6d7rHux+7d7vHvAu8O7xfvHe8k7yvvMu8670DvRe9I70vvT+9V72Dvbu9+747vn++u773vzO/c7+3v//AS8CTwNfBF8FPwYPBt8HnwhfCR8J7wrPC78Mzw3fDv8P/xDvEb8SXxMPE78UjxV/Fn8XnxivGb8arxt/HD8c/x2fHj8e7x+fIE8hHyH/It8jvySPJU8l3yZfJr8nDydfJ68oDyh/KP8pfyofKq8rLyufK/8sTyyPLM8tDy1fLa8t/y4/Ln8ury7fLy8vjzAPMI8xDzFvMb8x7zIPMj8ybzK/Mw8zXzOfM980HzRfNK81DzV/Ne82bzbPNz83nzf/OE84rzj/OT85bzl/OX85fzmfOd86LzqfOy87rzwvPJ89Dz1vPd8+Xz7/P79An0GvQs9D/0UvRj9HH0e/SD9If0jPSS9Jv0qPS59M304fTz9QP1EfUc9Sf1MvU99Uf1TvVR9U/1R/U89S/1IvUX9Q/1CPUE9QT1B/UQ9SD1N/VS9W/1i/Wl9br1y/XZ9eb18vX+9gf2DvYS9hT2FfYX9hz2JPYu9jn2RPZN9lb2XfZj9mj2bPZv9nH2cvZy9nP2dPZ39nz2gfaG9ov2j/aT9pb2mvae9qH2pfap9q32sPa09rn2vfbB9sX2yvbP9tT23Pbn9vT3BPcY9y33QvdY92v3e/eI95H3l/eb9573oPeh96P3pfep96/3uvfJ99z38vgK+CD4M/hD+FD4Wvhl+HL4gfiS+KT4tvjH+Nf45Pjw+Pr5BvkT+SL5M/lH+Vv5b/mC+ZL5ofmt+bn5xvnS+d/57Pn6+gf6Ffol+jf6Svpf+nL6hfqV+qT6svrA+s/64Prx+wD7DvsZ+yL7Kvs0+0H7Uftl+3v7lPut+8b73/v2/Az8Ifwz/ET8VPxl/Hf8i/yf/LP8xvzX/Of89v0G/Rj9LP1D/Vr9cP2G/Zr9rv3C/dX96v3//hX+LP5D/lr+c/6N/qf+wv7d/vj/FP8x/1H/cv+V/7f/2f/5ABgANgBTAHEAkQCyANYA+wEhAUgBbwGWAbwB4gIGAisCUAJ2Ap8CyQLzAxwDQANgA3sDlAOtA8cD5gQJBDEEXASIBLUE4QUNBTcFYgWNBbkF5AYPBjcGXAZ8BpUGqQa1Br4GxAbJBtAG2gbmBvQHAwcSByIHMQdAB0sHVAdXB1IHRwc0BxwHAgbqBtYGxwa8BrIGqQagBpgGlQadBrQG3gcZB2AHqwfyCC8IXwiDCKAIvAjZCPYJEAkiCSQJFgj3CM4IoAh1CFAINAgiCBcIFggcCCsIPghRCF4IYAhVCEMIMgguCEIIcQi6CRAJZgmuCd0J9An2Ce4J5AndCdoJ1gnNCb0JpAmFCWEJNwkECMQIdQgYB7UHWAcQBugG5QcDBzUHbQecB7kHxAfFB8YH0gfuCBgISgh3CJcIogiaCIYIbgheCFoIZgh7CJUIqgi3CLoItwiyCLIIuQjICNwI8AkACQkJCwkHCQII/gj9CP4I/wj+CPcI6wjYCMIIqgiTCHoIXgg5CAUHwAdoBwEGlQYuBdkFoAWHBY4FsQXlBiEGWQaJBqwGwwbRBtkG3wbmBu8G+QcGBxIHHQcnBy4HNAc5BzwHPgc+Bz4HPQc8BzsHOgc4BzQHLAcgBw8G+wblBtEGvwaxBqUGnQaVBo0GhQZ+BngGcwZuBmkGYgZaBlEGRwY9BjYGMQYtBioGJgYiBhwGFAYLBgIF+QXxBeoF5AXgBdwF2AXTBcsFwQW1BaoFoAWZBZUFlAWUBZQFkwWSBZEFkQWTBZUFmAWaBZsFmgWYBZcFlgWXBZkFngWjBagFrgW0BZkFnwWlBaoFrwWzBbcFvAXCBckF0AXYBeEF6QXyBf0GCQYXBikGPAZSBmkGgQaYBrAGxgbcBvIHBwcdBzMHSgdgB3cHjQeiB7cHzgfnCAEIHQg6CFYIcgiMCKQIvAjVCO0JBQkbCS4JPQlGCUwJTwlRCVQJWAldCWIJZwlrCW8Jcgl2CXsJgQmJCZEJmQmgCaYJqwmwCbYJuwnBCccJzgnVCdsJ4AniCeEJ3AnUCcoJwQm8Cb0JxQnWCewKBAobCi4KOQo7CjgKMQosCioKLwo8Ck8KZgp9CpMKpQq0Cr8KyArPCtUK2AraCtkK2QrYCtkK3QrkCu0K9gr/CwgLDwsXCx8LJwsxCzwLRwtTC14Lawt4C4cLmQusC78L0wvmC/cMBQwQDBoMIwwtDDoMSQxbDG4MgAyQDJwMpQyrDLAMtwzADMsM1gzhDOkM7gzxDPMM9Az0DPMM8QzuDOoM5wzlDOUM5gzlDOEM1wzJDLgMqAycDJYMlgyZDJwMnQyaDJMMigyBDHkMcgxsDGYMYAxbDFYMUQxODEwMSQxGDEEMPQw7DDoMPQxBDEYMSgxMDE0MTQxMDEsMSwxLDEoMSQxHDEUMRQxHDEoMTwxTDFgMXAxhDGcMbwx2DHsMfQx6DHIMZwxaDE4MQww6DDIMKAwdDBEMBAv3C+wL5AvdC9cL0gvMC8cLwgu/C70LvAu6C7cLsQupC6ALlwuNC4MLeAtqC1oLSAs2CycLGwsUCxELDwsKCwEK8QrbCsIKqAqSCoAKdAprCmQKWwpQCkMKMwokChcKDQoGCgMKAAn+CfkJ8QnlCdUJwgmsCZcJgwlzCWcJXglYCVMJTglGCT0JMQkkCRcJCgj+CPMI6QjdCNAIvgioCIsIZwg9CA4H2gelB28HOAcBBskGjwZUBhkF3wWmBXAFPQUMBN0ErwSCBFcELwQKA+gDyAOqA4oDaQNEAx0C9ALKAqACdwJPAigCAAHXAa0BhAFbATQBEgD0ANwAyAC5AKoAmwCIAHIAWAA7AB4AAv/o/8//tv+c/37/XP81/wz+4P60/or+Yf47/hj9+v3g/cr9uP2m/ZT9gP1p/VD9N/0h/Q/9Avz5/PL86vzg/ND8vfyl/Ir8bvxQ/DL8Evvx+877q/uI+2f7SPss+xL6+vrj+sz6tPqb+n/6YfpB+iD6APnf+cD5oPmB+WD5Pvkb+Pf41Piy+JH4cvhU+Db4F/f499n3u/ee94P3afdQ9zf3H/cG9u721fa89qL2iPZt9lL2OPYf9gf18PXY9cD1pvWK9W/1VPU89Sf1FfUD9PL04PTN9Lj0o/SP9H30bfRf9FH0Q/Q19Cf0GvQN9ADz8/Pl89bzxfO086PzkvOB83LzYvNS80LzMfMf8w/y//Lx8uTy1/LL8sDytfKr8qLymfKQ8obye/Jw8mXyXPJV8lPyUvJT8lTyU/JR8k3ySfJG8kXyRvJI8kryTfJP8lDyUfJT8lTyVvJX8ljyWPJX8lXyVfJV8ljyXvJm8nDyefKC8ofyivKL8ozyj/KW8qDyrvK78sXyy/LN8svyyfLL8tPy4PLx8wPzEvMb8x7zHPMX8xHzDvMP8xTzHfMq8zvzTvNk83rzkfOk87Tzv/PE88XzwvO787Hzo/OT83/zavNW80PzNvMt8yrzK/Mv8zLzNPMy8yzzI/MY8wvy/fLv8uHy0vLB8q7ymfKC8mryUvI78iXyEfH88efx0PG38ZvxfvFf8UHxI/EG8Ovw0vC98KvwnPCN8H7wafBN8Cfv9u++74HvRO8L7trus+6X7oTuee5z7m/uau5k7lruS+447iPuC+317eHt0e3E7bntr+2k7Zfth+127WXtV+1N7UjtSO1L7U7tUe1R7VDtTu1M7UrtSO1G7ULtPO017S3tKO0m7SrtMu097UjtU+1b7WLtaO1v7Xbtf+2I7Y7tk+2U7ZXtl+2b7aLtre267cjt1e3g7ert8+377gTuDe4X7iDuKu407jzuRO5L7lDuVe5a7mDuaO5z7oLulO6o7rzuz+7g7u/u/e8L7xjvJO8u7zfvPO9B70XvSu9Q71nvZO9v73rvhO+O75jvo++w77/v0O/h7/PwBPAW8CbwN/BH8FbwY/Bv8HrwhvCT8KHwsfDB8NDw3vDq8PTw/vEJ8RbxJfE18UbxVvFm8XXxgvGP8ZvxpvGx8bzxx/HS8d7x6/H48gXyEfIc8iXyLPIz8jjyPfJC8kfyTfJU8lzyZfJv8nnygvKJ8pDylfKa8p7yovKl8qnyq/Ku8rDysvK28rvywfLI8s7y0vLU8tby2PLb8t/y5vLt8vTy+vL+8wLzBvML8xLzG/Mk8y3zNfM780DzRfNK81DzV/Nd82PzZvNn82jzaPNq82/zdvN/84jzkPOY857zo/Op87DzuvPG89Xz5vP49An0GPQm9DD0OfQ/9EX0S/RU9F/0bfR99I70nvSs9Lj0wvTN9Nj05PTx9P71CfUQ9RT1E/UQ9Qv1BvT+9Pb06/Tf9NT0y/TI9M302vTu9Qb1IPU49U/1ZPV49Yz1oPW19cf11fXf9eX16PXq9e719PX89gX2D/YY9iD2J/Ys9jL2N/Y89kD2Q/ZG9kn2TPZQ9lX2W/Zh9mf2bPZw9nT2ePZ79n72gPaD9ob2iPaM9o/2k/aY9p32pPat9rj2xPbT9uP29PcG9xf3KPc590r3Wfdo93b3gveN95X3m/ef96L3o/em96v3s/e/98734Pfy+AT4Ffgj+DD4PvhM+Fz4bviB+JT4pfi0+MH4y/jT+Nr44vjr+Pf5BfkV+Sf5OflM+V/5cfmD+ZX5p/m4+cn52fno+ff6BvoV+ib6OPpJ+ln6Z/pz+n36iPqU+qL6svrE+tf66fr7+wz7Hfsu+z/7T/tg+3D7gPuR+6L7tPvH+9v77/wD/Bf8K/w//FP8aPx9/JL8pfy3/Mj82vzu/QL9Gf0v/Ub9W/1u/YH9lP2o/b791f3t/gX+HP4z/kr+Y/58/pb+sv7N/un/Bv8l/0X/Z/+L/67/0P/vAAwAKABCAF4AegCZALoA3QECAScBTwF4AaIBzAH3AiACSAJvApUCuwLhAwYDKgNNA20DiwOoA8UD4wQDBCUESQRvBJQEuATbBP0FIAVGBXEFoAXSBgcGOAZkBoYGngasBrQGuQa/BsoG2QbtBwEHFAcjBysHLgcqByEHEgb9BuMGxAahBn4GXAZABioGHAYTBgwGBwYEBgcGFQY1Bm0GvQciB5IIAghmCLUI7AkNCR8JKQkxCToJQglFCT8JLwkVCPUI1Ai2CJsIgwhsCFYIQQgvCCMIHwghCCUIJggjCBoIEwgTCCUITgiLCNcJJwlwCaoJ0gnsCfwKCAoUCiAKJwonCh4KDAn0CdgJtgmLCVIJBginCDsH0Ad0BzQHGgcjB0YHdAefB7wHyQfLB80H2AfyCBkIRAhqCIAIgAhsCEwIKwgVCBEIIAg+CGIIhAicCKkIrQiqCKcIpwirCLQIvgjFCMkIyAjDCLwItgiyCLAIrwivCKwIpQiaCIoIdghfCEYIKwgNB+oHwAeOB1QHFwbbBqcGgQZsBmgGcQaABo8GmQaZBpEGhAZ4BnAGcQZ7Bo0Gowa5Bs4G3gbqBvMG+gcABwYHCwcNBwwHCAcBBvcG7AbfBtIGwwazBqIGkAZ+Bm0GXgZSBkgGQAY6BjYGMwYzBjUGOAY6BjsGOAYyBikGHgYUBgoGAgX7BfUF7wXpBeIF3AXVBc4FyAXCBb4FuwW5BbkFuQW4BbUFrwWmBZsFjgWCBXcFbwVqBWkFagVuBXMFeQV+BYMFhgWHBYYFhAWBBX8FfwV/BYEFhAWHBYsFjwWTBXkFfwWGBY0FkwWZBZ4FpAWrBbMFvQXIBdMF3wXrBfcGBgYWBikGPwZYBnIGjAalBr4G1QbsBwIHGAcvB0cHXgd2B4wHoge2B8kH3gfzCAoIIwg9CFcIcgiOCKoIxgjjCP4JGAktCTwJRwlMCU8JUQlUCVcJWwlfCWAJYAlfCV4JXglhCWgJcQl6CYQJiwmQCZQJlwmaCaAJpwmvCbkJwgnJCc4JzwnNCccJvQmzCaoJpAmlCa0JvAnQCeYJ+QoHCg0KDQoICgIJ/An7Cf8KCQoZCisKPwpSCmQKdAqCCo4KmAqfCqQKpwqoCqoKrAqwCrcKwArKCtQK3QrjCugK6wruCvMK+QsACwoLFAsfCyoLNgtDC1ILYwt2C4sLoQu1C8gL1wvkC+4L+AwDDBEMIww3DE0MYQxzDIAMiQyQDJYMnQymDLAMuwzFDM4M1AzZDNwM3gzfDN4M2wzWDNEMzQzKDMoMygzIDMMMugysDJwMjQyCDHwMegx7DH0Mewx3DHEMaQxhDFsMVgxSDE4MSQxEDD8MOgw1DDIMLwwsDCkMJwwnDCgMKwwvDDQMOAw6DDwMPQw9DD4MPww/DD0MOww4DDYMNgw5DD0MQgxHDEsMTgxRDFYMWwxgDGQMZQxhDFkMTgxCDDYMLQwlDB4MFgwMDAAL9AvoC94L1wvRC8oLwwu5C64LoguYC5ALiwuHC4QLfwt5C3ELaQtgC1YLTAtACzMLJAsWCwoLAgr/CwALAAr+CvUK5QrPCrQKlwp9CmcKVQpHCjsKLwojChYKCQn9CfMJ6gnjCd0J1gnOCcUJuwmuCZ8Jjgl8CWkJVwlGCTgJLgknCSIJHgkaCRQJCwkACPMI5AjUCMQItAikCJMIfwhnCEsIKQgBB9YHpwd3B0cHFwblBrMGfQZGBgwF0QWWBV4FKAT0BMMElARnBDwEEwPuA8sDqwONA24DTgMrAwUC2wKwAoICVAImAfgBzAGgAXcBTwEpAQUA5QDHAK4AmACGAHYAZwBWAEMALQAV//v/4P/G/6v/kP9z/1P/Mf8M/uX+vP6U/mv+Qv4b/fb91f22/Zz9hv1y/WD9TP05/SX9E/0D/Pf87vzo/OL82fzM/Lr8o/yI/Gv8S/wr/Aj75fvB+5z7eftX+zj7HPsD+uv61Pq++qj6kfp5+l/6Qvoj+gL54Pm9+Zr5ePlV+TL5Dvjp+MP4nvh6+Fj4N/gZ9/z33/fD96b3ifdt91L3OPce9wX27PbU9rz2pPaM9nP2WfY+9iP2B/Xr9dH1ufWh9Yn1cPVX9T71JvUP9Pr05/TU9ML0rvSZ9IT0bvRa9Ef0NvQl9Bb0BvP28+fz2PPL87/zs/Ol85fzhvNz82HzT/M+8y/zIfMT8wTy9PLk8tPywvKz8qbymvKR8onygfJ78nTybfJk8lnyTPI/8jLyJvIe8hjyFfIU8hTyE/IS8hHyD/IP8g/yD/IQ8g/yDfIL8gnyCPIJ8g3yEvIY8h7yI/Ik8iTyI/Ij8iTyKPIu8jfyQPJI8k7yUvJU8lXyV/Jc8mPybfJ38oDyhfKI8ojyiPKJ8o7yl/Kl8rXyxfLS8tvy3vLd8tny1fLS8tHy1fLe8uvy/fMS8ynzQPNW82nzefOE84nzifOE83vzbfNd80vzOfMq8x3zE/MM8wjzBfMD8wDy/fL58vPy7fLk8tvy0PLE8rbyp/KY8ofydvJj8k/yOvIl8g/x+fHi8czxtvGg8YrxdfFg8UrxMvEZ8Pzw3/DB8KXwjPB28GPwT/A68B/v/u/W76jvdu9B7wzu2O6p7n/uW+4/7izuIO4b7hjuFe4P7gXt9u3j7dDtv+2w7aPtme2O7YHtce1g7U/tQe037TPtNO027TjtN+0z7S3tJu0h7R/tIe0m7SvtL+0w7S7tKu0m7SLtIe0i7STtKO0u7TTtO+1E7U7tWe1j7Wztc+147Xvtfu2C7YbtjO2T7Zvto+2s7bTtvu3I7dLt3u3p7fXuAO4L7hfuIu4s7jXuPe5D7kruUe5Z7mPub+587ovum+6s7r3uz+7h7vLvAu8Q7xzvJe8u7zfvQO9L71XvX+9n727vc+9574Dvie+V76Lvr++978rv1+/l7/TwBPAU8CTwM/BA8EvwVvBi8G/wffCM8JvwqfC28MHwzPDY8Obw9fEE8RTxI/Ey8T/xTPFY8WXxcvF+8YrxlfGg8arxtPG/8cjx0fHa8eLx6fHx8fnyAPII8g/yFvIc8iLyKfIx8jnyQfJJ8lHyV/Jd8mPyZ/Js8m/ycvJz8nXyd/J58n7yg/KJ8o/yk/KV8pbyl/KZ8p3yo/Kp8rDytvK68r3ywfLG8s3y1/Lh8uvy9PL78wHzBvMN8xTzHfMm8y/zNPM48znzOfM58zzzQvNJ81LzWvNh82jzbfN083zzh/OU86Pzs/PC89Dz2/Pl8+7z9fP89AT0DPQW9CH0LfQ59EX0UfRb9GX0cPR79If0lfSj9LD0uvTC9Mf0yvTM9M70z/TQ9M/0y/TE9Lr0sfSp9Kf0qfSx9L30yvTZ9Oj0+fUM9SP1PPVY9XL1ivWc9ar1s/W69b/1xfXM9dP12/Xi9en17/X19fv2AvYI9g72E/YY9hz2IfYn9i72NfY99kT2SvZQ9lT2V/Za9lz2XvZf9mH2YvZl9mj2bPZy9nr2hfaR9qD2r/a+9s322/bo9vT2//cK9xf3Jfc090X3Vvdm93T3gfeM95X3nfek96v3s/e898b30ffd9+j39PgB+A/4Hvgv+EH4VPhn+Hj4hviS+Jz4pPir+LL4u/jF+NH43vjs+Pz5DPke+TD5RPlY+W75hPmZ+a35wfnS+eP59PoF+hb6J/o2+kT6UPpZ+mL6a/p2+oL6kvqk+rf6y/rf+vP7B/sZ+yr7OftF+0/7V/tg+2r7d/uH+5z7s/vN++f8Afwb/DP8Sfxd/G/8gPyR/KP8t/zN/Ob8/v0W/Sz9P/1Q/WH9cv2G/Zz9tP3O/ej+Af4b/jX+Uf5v/o3+rP7L/un/Bv8k/0P/ZP+H/6r/zv/uAA0AKABCAFwAdwCUALIA0wD2ARoBQAFoAZMBvgHpAhQCPAJhAoMCpALEAuUDCAMsA1ADdAOXA7kD2QP5BBoEOgRbBHwEmwS4BNUE8wUTBTkFZQWXBcsF/wYuBlUGcwaIBpgGpga1BscG3Qb0BwgHFQcYBxAG/AbfBrsGkwZpBj8GFwX0BdkFyQXDBckF1wXrBgAGFAYoBj4GXAaKBssHIgeJB/gIYwjBCQgJNglOCVcJWAlWCVUJVQlSCUkJOwkmCQ0I8wjYCL4IoQiBCFwINggTB/YH4wfbB9kH2gfZB9UH0QfUB+MIBAg3CHcIvQj9CTIJWQlyCYIJjgmYCZ8JowmiCZwJlAmMCYgJhgmCCXMJUQkaCM0IdAgdB9UHqAeYB6AHtwfPB98H5QfjB98H4gfvCAYIIgg5CEYIRAg2CCEIDwgICA4IIQg8CFgIbgh8CIAIfQh3CHIIcQh0CHkIfwiECIUIhAh/CHkIcQhqCGQIYAhdCFsIWQhVCE4IQQgwCBoIAQfoB9AHuAehB4gHbgdRBzUHGQcBBu4G3wbSBsQGtAahBosGdwZoBmEGZQZxBoQGmgauBr8GywbTBtgG3QbiBuYG6gbrBucG3wbRBsAGrAaXBoIGbQZaBkgGOAYpBh0GFAYLBgMF/AX2BfAF7AXqBesF7QXvBfEF8gXwBewF5wXiBdwF1wXRBcoFwgW5Ba4FowWZBZEFigWGBYUFhwWLBZEFmAWdBZ8FnAWTBYYFdgVlBVYFSwVFBUQFSAVOBVYFXgVjBWcFaAVoBWcFZwVoBWkFbAVuBW8FbwVvBXAFcQV0BWcFbwV3BX4FgwWIBYwFkgWaBaQFsAW/Bc4F3QXsBfwGDQYgBjUGTAZkBn4GmAaxBskG4Ab3Bw8HKAdDB14HegeUB6sHvwfQB98H7gf9CA0IIQg3CFAIbAiKCKoIywjrCQgJIQk0CUAJRglJCUoJTAlPCVQJWQlcCV0JWglWCVMJUglVCVsJZQlvCXcJfQmBCYMJhgmKCZIJmwmmCbAJtwm6CbgJswmqCaAJlgmOCYoJjAmUCaEJsgnECdMJ3gniCeAJ2wnUCc8JzgnSCdsJ5gn0CgIKEAoeCiwKOwpJClgKZAptCnMKdwp5CnsKgAqHCpAKnAqnCrEKuQq9Cr8KvwrACsMKxwrOCtcK4QrtCvgLBQsTCyILMwtGC1sLcAuFC5gLqAu3C8MLzwvbC+sL/gwTDCoMQAxTDGIMbgx4DIAMiAyRDJsMpQytDLQMuQy8DL8MwgzDDMMMwgy/DLsMtwy0DLEMrwysDKcMnwyUDIgMfQx0DG8MbQxsDGoMZwxiDFoMUgxKDEMMPgw5DDQMLwwqDCUMIQwdDBoMGAwWDBUMFQwWDBgMGwweDCEMIwwlDCcMKwwuDDMMNgw5DDkMNww1DDMMMww0DDgMOww+DD8MPww/DD8MQgxFDEcMRwxDDDsMMAwkDBoMEgwLDAYL/wv2C+sL3gvRC8YLvQu0C6sLoAuTC4MLdAtmC1sLVAtQC00LSwtHC0ELOwszCysLIwsbCxILCQsBCvsK9wr1CvUK8grsCt8KzAqzCpcKewphCkoKNwonChcKCQn7Ce4J4gnZCdEJygnCCbgJrAmeCY8JfwlvCV8JTwk/CS8JIAkSCQcI/gj5CPUI8wjxCO0I6AjfCNQIxgi1CKIIjQh2CF0IQwgnCAgH5gfBB5kHbQc/Bw8G3AapBnQGPgYHBdAFmgVlBTMFAwTVBKkEfgRUBCsEAwPeA7oDmQN5A1kDOgMYAvQCzQKiAnQCRAISAeEBsQGDAVgBLwEJAOYAxAClAIoAcQBdAEoAOQAoABYAAf/q/9H/t/+c/3//Yv9E/yT/Av7f/rr+lf5v/kj+Iv38/dj9tv2Y/X79Z/1T/UH9Lv0d/Qz8/vzx/Oj84fzb/NP8yPy4/KP8i/xu/FD8L/wM++b7vvuW+277Sfso+wv68/rd+sn6tPqe+of6bvpV+jr6HvoA+eD5vvmb+Xj5U/kv+Qr45Pi9+Jb4bvhI+CT4Avfj98b3q/eQ93X3Wfc+9yH3Bfbp9s72tPac9ob2cPZb9kb2LvYV9fn13PW+9aH1hfVr9VP1O/Ul9Q70+PTj9M70uvSm9JL0fPRn9FH0O/Qn9BX0A/Py8+Lz0fPA87DzofOT84Xzd/No81fzRPMv8xvzB/L28ujy3PLR8sXyuPKq8pryi/J98nDyZvJe8lfyUfJM8kbyQPI48i7yI/IW8gnx/PHw8ebx3vHZ8dXx0/HS8dLx0/HV8dfx2PHY8dXxz/HH8cDxuvG48brxv/HH8c/x1/Hd8eDx4vHk8efx6/Hy8fryA/IL8hPyGPIc8h/yIfIj8ifyK/Iv8jXyOfI88j7yQPJD8kfyTvJZ8mfydvKF8pHymfKc8pvylvKR8o3yjfKS8p3yrfLB8tfy7/MG8xvzLfM780XzSPNF8zvzLfMb8wny+fLt8uXy4vLi8uLy4fLe8tfyz/LF8rzys/Kq8qLymvKS8ojyffJw8mHyUPI98inyFPH+8ejx0fG68aTxj/F78WnxWvFL8T3xLPEY8P/w4vDC8KHwgfBk8EvwNfAi8A7v+e/h78Xvo+9770zvF+7e7qPuae427gzt7u3c7dPt0O3O7cvtxO267a3toO2W7Y3th+2A7XftbO1e7U/tQe037TDtLe0r7SntJO0c7RHtBuz97Pfs9+z77QLtC+0S7RjtGe0Y7RXtEe0N7QrtCO0J7Q3tE+0b7SXtL+057UHtSe1P7VXtW+1g7WbtbO1x7Xftfu2F7Yztlu2g7aztt+3D7c7t2u3m7fLt/u4L7hfuIu4t7jbuQO5J7lLuW+5k7m/ueu6I7pbup+647sju1+7k7vDu++8H7xXvI+8y70DvTe9W717vZO9q73PvfO+I75Pvne+l76zvs++878fv1u/l7/bwBPAR8BvwJfAv8DvwSfBZ8GnwePCH8JTwofCt8Lrwx/DU8OHw7vD58QXxEfEe8SvxOfFH8VTxYPFq8XTxffGE8YvxkvGY8Z7xpfGt8bbxwPHK8dPx2/Hi8ejx7fHy8fjx/vIF8gzyE/Ia8iHyJ/It8jLyNvI48jryO/I+8kHyR/JN8lTyWvJd8mDyYfJi8mXyaPJt8nHydfJ38njyefJ88oLyifKT8p7yqPKw8rjyvvLG8s7y2fLk8vDy+fMA8wTzBfMH8wnzDfMS8xnzH/Mm8y3zM/M780TzUPNe823zfPOJ85bzofOq87LzuvPB88nz0PPX89/z5vPu8/f0APQK9BX0IfQv9D70TfRb9Gf0cfR39Hv0ffSA9IT0ifSP9JX0mvSc9Jz0m/SY9Jb0lfSV9Jb0mfSc9KP0rPS69M305fUA9Rz1N/VP9WP1dPWB9Yz1lfWe9aX1q/Wx9bf1vfXD9cr10vXZ9eH16PXu9fX1/PYD9gv2E/Yc9iP2KvYv9jT2OPY79j32PvZA9kH2QvZE9kf2TPZT9lz2Z/Z09oH2j/ac9qn2tPa+9sj20vbd9un29/cG9xb3Jvc390f3V/dm93P3gPeM95f3oPep97H3uffB98r31ffi9/D4APgR+CH4MfhA+Ez4V/hg+Gj4cfh5+IP4jvib+Kj4t/jG+Nf45/j5+Qv5H/k0+Un5X/l0+Yn5nPmv+cL51fno+fv6Dvof+i76O/pG+k/6Wfpk+nH6f/qQ+qL6tPrI+tv67/sB+xL7H/sq+zH7Nvs6+0H7S/tb+2/7ifum+8X74/v+/Bf8K/w8/Ev8Wfxo/Hn8j/yo/MP83vz3/Q79IP0w/T/9UP1k/Xv9lP2w/cz96P4F/iT+Rf5n/or+rf7N/uv/B/8i/z7/XP9+/6L/x//sAA4ALgBMAGkAhwClAMQA5AEEASUBRQFnAYoBrwHVAfwCIgJGAmgCiQKpAskC6wMPAzUDWwOAA6MDxgPnBAgEKQRLBGwEjASrBMkE5gUEBSUFSgVzBaAFzQX4Bh8GPwZaBnEGhQaYBqwGvgbNBtUG0wbGBqwGiAZcBi0F/gXVBbMFngWWBZ0FtAXZBgkGPwZ4BqwG2gcAByEHQgdnB5UHzQgOCFMIlAjNCPkJFwkqCTUJPQlECUkJTAlKCUAJLwkYCPwI3wjACKAIfghZCDEICwfqB9MHxgfCB8QHxQfCB7oHsQeuB7gH1AgCCD4Ifwi9CO8JEgkmCTAJNAkzCTAJKgkhCRUJDAkICQ0JGwksCTkJOQkjCPYItghuCCoH8wfSB8QHxQfMB9MH1gfVB9MH1gfeB+0IAAgRCB0IJAgnCCkILwg6CEkIWAhiCGUIXghPCD0ILQgiCB4IIQgnCC8INQg6CDwIPQg8CDsIOQg0CC4IJwggCBsIGAgWCBMIDAgBB/EH3gfKB7gHqgefB5YHjAd/B2wHVgc9ByQHDQb5BucG2AbLBr4GswarBqYGpwasBrMGuwbCBscGyAbHBsUGwwbBBr8Guwa0BqkGmwaKBncGYwZOBjsGKAYXBggF+wXxBekF4wXeBdgF0AXGBboFrgWiBZkFkwWPBY4FjwWQBZMFlgWaBZ4FoQWjBaIFngWWBYoFfAVuBWEFVwVQBU8FUwVaBWUFcAV5BX4FfAV0BWYFVQVDBTMFKQUlBSYFKwUzBToFQAVDBUMFQwVDBUQFRwVLBVAFVQVYBVkFWQVZBVoFXAVhBWEFawV1BXwFgQWGBYsFkQWZBaQFsgXBBdIF4gXzBgQGFgYqBj8GVgZuBogGoQa5BtEG6AcABxgHMwdQB24HiwelB7sHywfYB+IH6wf1CAMIFggtCEgIZwiICKoIzAjrCQcJHAksCTQJOAk6CTsJPglECUsJUwlYCVoJWAlUCU8JTQlOCVIJWQlfCWUJaAlrCW4Jcwl7CYUJkQmaCaAJoQmbCZEJhQl5CW8JaglpCW4JeAmFCZQJogmtCbQJtgmzCa0JpwmiCaEJpAmrCbQJvgnICdAJ2QniCe4J/AoLChwKKgo2Cj8KRApICkwKUgpaCmQKbwp5CoIKiAqLCowKjAqMCo4KkQqXCp8Kqgq3CsUK1ArlCvYLCAsbCzALRAtZC20LfwuQC54LrAu6C8kL2wvvDAUMGgwuDEAMTwxcDGcMcgx9DIcMkAyXDJwMnwygDKEMogyjDKMMpAyjDKAMnQyZDJQMjwyKDIQMfQx1DG4MZwxjDGAMXwxfDF0MWwxVDE4MRgw9DDMMKgwiDBsMFQwRDA0MCgwIDAYMAwwBC/4L/Qv9C/4MAAwCDAMMBQwHDAsMEAwYDCEMKQwvDDIMMgwxDC8MLwwwDDIMNAwzDDEMLQwoDCYMJQwmDCgMKAwkDBwMEgwGC/wL9AvvC+oL5QveC9QLxwu6C6wLoAuUC4gLewtrC1oLSQs5CywLJAsfCxwLGwsYCxULEAsKCwQK/gr4CvIK7QroCuMK4ArcCtcKzwrDCrEKnAqECmsKVAo/Ci4KHQoOCf4J7QneCdAJxAm8CbUJrgmlCZgJiAl0CV8JSgk1CSIJEQkBCPEI4wjWCMwIxAi/CLsIuQi4CLUIsgisCKUImgiNCHsIZQhMCC4IDwfuB8sHqAeDB1sHMAcABswGlAZbBiIF6wW3BYcFWQUvBQgE4gS9BJkEdARPBCoEBQPgA7sDlwN1A1MDMQMQAu0CyAKgAnQCRgIVAeMBsQGBAVIBJQD7ANMArQCKAGsATwA4ACMAEP/9/+n/1P+8/6T/i/9y/1j/P/8k/wf+6P7G/qL+ff5W/i/+Cf3j/cD9of2F/W39Wf1G/TT9I/0R/P/87/zi/Nf8zfzE/Lj8qvyY/IP8bPxR/DX8Ffvy+8r7nvtx+0T7HPr5+t76yfq4+qf6lvqB+mn6T/oy+hX59/nY+bj5mPl2+VL5LvkJ+OP4vPiU+Gv4Qvgb9/X30vez95X3evdg90b3LPcQ9vT21/a69p72hPZr9lT2PvYq9hX1//Xm9cr1rfWO9W/1UfU29R31BfTw9Nv0xvSy9J70ivR19F/0SfQy9Bv0BfPw893zy/O7863znvOR84PzdvNo81nzSfM28yHzCvLz8t3yyfK58qzyovKa8pHyh/J78m3yX/JS8kXyOvIx8ijyIfIa8hPyDPIF8f3x9PHq8d/x0vHG8brxr/Gm8Z/xmfGV8ZPxk/GU8ZTxlPGR8YvxgvF28WnxXfFT8U3xTPFP8VXxXfFn8XHxfPGH8ZLxnfGn8bHxuvHC8crx0fHX8dzx4PHi8ePx5PHl8ebx6PHs8fDx9PH58f7yBPIM8hbyIvIw8jzyRvJM8k3ySvJE8j/yPfJA8knyV/Jp8n7ylPKp8r7y0vLi8u/y9vL38vDy4vLQ8r3yrPKg8prym/Kf8qXyqvKr8qjyofKX8ozygPJ18mzyZfJd8lbyTfJC8jTyI/IR8fzx5/HS8b7xqvGW8YPxcPFe8UzxPPEt8R/xEPEA8Ozw1fC78J/wgvBm8EvwM/Ad8Anv9u/j78/vue+e73zvU+8i7ururO5v7jbuBe3e7cLtr+2h7Zftje2D7Xntce1s7Wntae1q7WjtZO1c7VHtRO037S3tJO0e7RjtEu0L7QHs9uzr7ODs2ezU7NTs1+zd7OXs7ez07Pns+uz67Pjs9uz07PXs9+z87QLtCO0P7RbtHO0j7SrtMu077UTtTO1U7VztY+1q7XHteu2E7Y7tmu2l7bHtvu3K7dft4+3w7fzuCe4W7iLuL+477kfuUe5b7mTube547oPukO6d7qnutO6+7sfu0e7c7uvu++8M7x3vLO8570TvTu9X72Pvbu9674Tvi++Q75TvmO+f76nvt+/H79bv5O/u7/bv/fAE8A7wG/Ar8DzwTfBd8GzwefCE8I/wmfCj8K3wtvDA8Mrw1vDj8PHw//EN8RrxJvEx8TvxRfFN8VXxW/Fg8WXxa/Fx8XnxgvGL8ZXxnfGl8avxsfG28bzxwvHI8c/x1fHb8eHx5/Ht8fPx+PH88f7yAPIB8gTyCPIP8hbyHfIj8ijyK/It8i/yMvI18jjyOvI78jzyO/I88j/yRPJL8lXyXvJm8m3yc/J68oLyi/KX8qPysPK68sPyyfLO8tLy1vLa8t/y5PLq8u/y9fL98wbzEfMe8yzzO/NI81XzYfNs83XzfvOG84zzkvOX85vzoPOm867zt/PC887z2/Pp8/f0BPQQ9Bv0JPQr9DD0NfQ49D30QvRK9FL0W/Rk9Gz0c/R49Hv0fvR/9ID0gfSC9IX0i/SU9KH0sfTD9Nj07fUD9Rj1LPVA9VL1YvVv9Xr1g/WJ9Y/1lPWa9aH1qfWx9br1w/XL9dT13fXl9e719vX99gT2CvYP9hP2F/Yb9h72IfYj9iX2J/Yq9i32M/Y59kH2SvZU9l72aPZz9n32iPaU9qD2rva89sr22fbn9vX3A/cR9x/3Lfc790r3Wfdn93P3fveI95H3mvej9673u/fJ99f35ffy9/74CPgS+Bv4JPgt+Df4QvhN+Fn4Zfhy+IH4kPih+LP4xvja+O/5Bfka+TD5RPlX+Wn5evmM+Z35sPnF+dr57voB+hP6Ivov+jv6RvpS+l/6bfp9+o76n/qy+sb62/rv+wL7Evsf+yj7L/s0+zr7QvtQ+2L7efuT+6/7y/vk+/v8Dfwc/Cn8NvxE/Fb8bfyG/KP8v/za/PH9Bf0X/Sn9PP1R/Wr9hv2i/cD93f38/hz+Pf5h/oT+p/7H/uP+/f8W/zD/Tv9v/5X/vf/lAAwAMABTAHUAlgC4ANoA/AEbATcBUgFrAYUBoQHAAeECBQIqAk4CcQKUArYC2QL9AyEDRANoA4sDrQPPA/IEFgQ8BGIEhwSqBMsE6gUIBSYFRQVoBY0FtAXZBfsGGAYvBkAGTAZUBlkGWgZYBlAGQgYtBhIF9AXVBbkFpAWbBZ8FtAXYBgwGTAaUBuEHKwdwB6oH2Qf9CBcIKwg9CE4IYQh2CIsInwiyCMMI0wjkCPYJCAkYCSMJJgkfCQ4I9QjWCLUIlQh1CFcIOAgaB/0H5gfVB84H0AfYB98H4AfYB8gHtQenB6cHuwfkCBwIXAiaCM0I8wkKCRUJGAkYCRMJCwj/CPAI4AjSCMwIzQjTCNkI1gjECKIIbwg0B/kHxwejB48HiQeLB5IHmgeiB6wHuAfHB9kH6gf6CAgIEwggCC4IPghPCFwIYQhaCEYIKQgIB+oH1gfMB80H1AfeB+UH6AfoB+gH6QftB/MH+Qf8B/oH8wfpB98H1gfPB8sHxgfAB7cHqgedB5EHhweCB30HeQdxB2UHVAdABywHGgcNBwQG/gb5BvMG7AbkBtoG0AbHBr8GuQazBq8GqgalBqAGmQaQBoQGdgZkBlEGPAYpBhgGCAX7Be8F4wXYBc0FxAW9BbkFtQWyBawFpAWXBYcFdAViBVMFRgU/BTsFOgU8BT8FRAVLBVMFXAVlBWwFcAVvBWoFYAVSBUQFNgUsBScFKAUvBTkFRQVPBVUFVAVNBUEFMgUjBRcFEAUOBRAFFAUZBR0FHgUeBR4FHgUgBSQFKQUvBTUFOQU8BT0FPgVBBUUFTQVWBVoFZwVyBXoFgQWIBY8FmAWiBa4FuwXKBdoF6gX6BgwGHgYyBkgGYAZ6BpQGrgbHBt8G9gcNByQHPQdXB3EHigefB7EHvQfGB84H1gfiB/MICggmCEUIZgiGCKYIwgjcCPIJAgkPCRcJHAkfCSMJKQkyCTsJRAlLCU8JTglKCUYJQglACUEJQwlGCUkJTAlQCVUJXAlmCXAJeAl8CXsJcwlmCVcJSglACT0JQQlKCVgJZwl1CYAJiAmLCYoJhQl+CXcJcglwCXEJdgl9CYUJjAmTCZgJngmlCbAJvAnMCdwJ6wn4CgIKCgoRChkKIQorCjYKQApKClEKVgpYClkKWApXClcKWgpeCmYKcgqBCpIKpgq6Cs8K4wr3CwoLHgszC0cLWgttC30LjQubC6oLuwvNC+EL9gwKDBwMLQw7DEgMVAxgDGoMdAx8DIIMhQyGDIYMhQyFDIQMgwyCDIAMfAx3DHIMbAxlDF8MWQxTDE4MSgxIDEYMRgxHDEcMRgxDDD4MNwwtDCMMGAwNDAUL/wv7C/gL9gvzC/AL6wvlC+AL3QvcC9wL3gvfC+EL4wvmC+sL8wv9DAkMFAwdDCMMJQwmDCUMJgwnDCkMKQwnDCIMHAwVDA8MDAwLDAwMCwwIDAEL9wvsC+IL2gvUC9ELzQvIC8ALtgupC5wLjwuDC3ULZwtWC0QLMQsfCxALBAr8CvcK9ArxCu4K6wrnCuIK3QrWCs8KyArBCroKswqrCqIKlwqICncKZApQCj4KLgogChMKBgn3CecJ1gnFCbYJqwmjCZ0JlgmMCX0JaglUCTsJIgkKCPMI3gjKCLYIpAiTCIUIeghzCG0IaghnCGUIYwhhCF4IWghSCEYINQgdCAAH3we7B5cHcgdNBycG/QbPBpwGZQYtBfQFvwWOBWIFOgUWBPQE1AS0BJQEcwRSBDEEDgPqA8QDngN4A1MDLgMLAugCxAKfAncCTAIeAe4BvAGKAVkBKAD5AM0AowB9AFwAPwAmAA//+P/h/8n/r/+U/3v/ZP9P/zz/Kv8V/v7+4v7D/p/+eP5P/ib9/f3X/bP9k/13/V/9Sv03/SP9D/z7/Of81fzF/Lj8rPyg/JT8hfx0/GH8S/w0/Bv7/fvb+7P7hvtW+yb6+/rX+rv6qPqZ+oz6ffpp+lH6NfoV+fT50vmw+Y75bPlJ+SX5APja+LT4jPhk+Dz4FPft98n3pveH92r3T/c19xz3Avbo9s32svaX9nv2X/ZF9iv2EvX59eH1yfWv9ZT1ePVa9T31IfUG9O301fS/9Kr0lvSD9HD0XPRI9DP0HPQF8+zz1PO986fzlPOE83fzbPNi81nzUPNG8zjzJ/MT8vzy4/LK8rPyofKS8ojygPJ58nDyZvJZ8kvyO/Is8h7yEfIF8frx7/Hm8d3x1fHO8cbxv/G28azxofGV8YvxgfF48XHxavFj8V3xVvFP8UjxQPE38SzxIPEQ8P/w7fDc8M7wxPC/8MHwyfDX8OvxAfEZ8THxRfFW8WPxbPFz8XnxgPGH8Y7xlfGa8Z3xnvGe8Z3xnvGg8aTxqfGu8bPxuPG98cTxzPHW8eHx6/Hx8fXx9PHw8ezx6vHs8fLx/fIL8h3yMPJE8lnybvKC8pTyovKp8qnyofKR8n7yavJZ8k7ySvJM8lPyXPJl8mrybPJo8mDyVvJK8j7yM/Ip8h/yFvIL8f3x7vHb8cjxtPGh8ZDxgPFw8WDxT/E98SnxFfEC8O/w3vDO8L/wr/Cf8I3wevBm8FDwOvAi8Arv8u/b78bvs++g74vvc+9W7zDvA+7P7pjuYe4t7f7t1u2z7Zbtfe1o7VbtSO0/7TrtOe067T3tPe077TbtLe0h7RXtCu0B7Pvs+Oz17PPs7+zn7N3s0ezE7Lnssuyw7LPsu+zH7NLs3Ozj7Obs5+zm7OXs5ezm7Ojs7Ozw7PTs+e0A7QftEO0a7STtLu037T/tR+1O7VbtX+1o7XPtfu2L7Zntp+207cLtz+3b7eft8+3/7g3uG+4p7jbuQu5N7lfuYO5p7nTufu6J7pPunO6j7qrusu677sju1u7m7vfvBu8U7yDvLO8470TvUe9d72fvbu9073jvfu+G75LvoO+v773vye/Q79bv2u/f7+bv8e//8A/wIPAw8D/wTPBX8GHwavBy8HrwgvCL8JXwofCu8LzwyfDW8OHw6/D18P/xCfET8R3xJfEs8TLxNvE78UDxRvFN8VTxXPFk8Wvxc/F78YPxi/GS8ZjxnfGh8aXxqfGt8bPxuPG88cDxwfHD8cTxx/HM8dLx2fHg8ebx6vHu8fLx9vH68f/yA/IG8gjyCPIJ8gvyD/IU8hzyI/Ip8i7yM/I28jryQfJK8lXyYfJu8nnyg/KL8pHylvKb8qDypfKq8q/ytfK88sTyzfLY8uTy8vL/8wzzGPMk8y7zN/M/80bzTPNR81fzXvNm83Dze/OG85Hzm/Ok863ztfO+88fz0fPa8+Tz7PPz8/r0APQH9A/0GPQi9C30OPRC9Ev0U/Ra9GH0aPRw9Hj0gfSK9JL0m/Sj9Kz0tvTD9NP05vT89RL1KfU99U31WvVj9Wr1b/V19Xv1g/WL9ZT1nvWp9bT1vvXI9dH12fXg9eb16vXv9fP1+PX89gD2BPYI9gv2D/YT9hj2HvYk9iv2MvY59kH2SfZS9lz2aPZ19oT2kvai9rH2v/bM9tn25fbx9v73C/cZ9yf3NfdC90/3W/dm93H3ffeJ95b3o/ex9733x/fQ99f33vfm9/D3+/gI+Bb4JPgx+D74SvhW+GP4cviD+Jb4rPjD+Nv48/kK+SD5NPlH+Vf5Z/l2+YX5lvmo+bv5zvnh+fP6BPoS+iD6Lfo6+kf6Vvpl+nX6h/qb+rD6x/rf+vb7C/sd+yv7Nfs++0X7TftX+2X7dvuJ+577tPvK+9377/v//A78Hvwv/EL8WPxy/Iz8qPzC/Nr88f0H/R39Nf1P/Wv9iP2l/cL93/38/hn+OP5Y/nj+l/61/tD+6/8G/yT/Rf9q/5L/vP/lAA0AMgBWAHkAnAC/AOMBBQElAUABWQFvAYUBnQG3AdQB9QIYAjsCXwKCAqQCxwLqAw0DLwNSA3MDlgO5A94EBQQuBFcEgASlBMgE6AUGBSQFQwVlBYkFrQXPBeoF/gYGBgUF+wXqBdYFwgWvBZ8FkwWMBYgFigWSBaMFvQXjBhUGVAadBuwHPgeNB9UIEghCCGYIfgiPCJoIogipCK8ItAi3CLkIuQi6CL8IxwjUCOMI8gj7CPoI7gjWCLYIkQhtCE0IMwgfCA4H/wfwB+IH2AfUB9cH4QftB/YH9wftB9kHwQesB6MHqwfHB/IIJQhZCIYIqQjBCNEI3AjjCOgI6QjlCNoIygi3CKQIkwiECHMIXghCCBwH7we/B5EHbAdSB0UHQwdJB1QHYgdyB4UHmQetB8AHzwfZB94H4QfjB+gH7wf3B/sH+AfsB9gHvwemB5UHjQePB5gHoweqB6sHpQecB5MHkAeUB50HqAewB7IHrAehB5MHhQd6B3QHcAdsB2cHYAdXB04HRgdABzwHOAc0By4HJQcbBxEHCAcBBvwG+AbxBucG2gbIBrUGogaQBoEGdgZvBmsGaQZnBmQGXgZTBkMGLgYVBfsF4gXMBboFrAWhBZgFjwWGBX0FdQVwBWwFawVpBWYFYAVVBUgFOQUrBSAFGQUWBRQFFAUSBQ8FDAUKBQkFDQUUBR4FKAUxBTYFNQUvBSQFGAUNBQQFAQUEBQsFFQUeBSQFJQUiBRsFEQUIBQIE/gT9BP0E/gT+BP0E+wT5BPkE+wUABQcFDwUVBRoFHQUeBSAFIwUpBTMFPwVMBVEFXQVoBXMFfQWHBZMFngWrBbcFxAXSBeAF7wYABhMGKAY+BlYGcAaLBqYGwQbbBvMHCAcdBzAHRAdYB2wHfwePB50HqAeyB7sHxwfXB+wIBwgkCEMIYQh8CJMIpwi5CMgI1gjiCOwI9Qj8CQQJDQkWCR8JJwktCTEJMAktCSkJJQkjCSIJJAknCSsJMAk2CTwJQwlJCU0JTglKCUEJNAklCRgJDwkOCRUJIQkxCUIJUQlbCWAJYAlcCVYJTwlICUIJPwk+CUAJRAlKCVAJVwleCWUJbAl0CX4JiQmVCaEJrgm5CcQJzgnZCeUJ8Qn/CgsKFwohCicKKwosCioKKAolCiMKJAopCjIKQQpUCmsKgwqbCrIKxgrZCusK/AsPCyILNQtIC1oLawt7C4oLmwutC8AL1QvpC/sMCwwZDCQMLgw4DEIMTAxWDF4MZQxpDGsMbAxqDGgMZgxjDF8MWwxXDFIMTQxIDEQMPww7DDYMMwwvDC0MKwwqDCoMKgwoDCUMHgwWDAsMAAv1C+0L5wvjC+AL3gvaC9QLzgvHC8ELvQu8C70LwAvCC8ULxwvKC88L1wviC+8L+wwGDA4MEwwVDBcMGQwbDB4MHwwdDBkMEgwKDAML/gv7C/kL9wv0C+0L5QvbC9ELyQvEC8ALvAu4C7ILqguhC5cLjAuAC3QLZQtUC0ELLQsYCwUK9QroCt8K2ArSCs4KywrGCsEKuwqzCqkKnwqUCokKfwp1CmoKXwpSCkQKNQonChkKDgoECfkJ7gngCdAJwAmwCaIJmAmRCYoJggl3CWcJUQk5CR4JBAjrCNIIugiiCIoIcghbCEYINQgoCB8IGAgSCA4IDAgLCAoICggJCAMH+AflB8sHrAeKB2YHQwchBv8G3Aa2BowGXgYsBfoFyAWYBWwFQgUbBPYE0wSwBI8EbgROBC0ECwPnA8IDmwNzA0sDJQMAAtwCuQKVAm8CRwIcAe8BwAGQAWABMAECANYArwCLAGwAUAA2ABsAAP/h/8H/oP+B/2X/T/88/y3/H/8O/vn+3v6+/pr+c/5J/iD99/3P/ar9h/1m/Un9L/0W/P/86PzS/L38q/yb/I/8hPx6/HD8Y/xU/EL8LvwY/AD74/vD+537cvtE+xb67PrI+qv6lvqG+nj6afpV+jz6H/n9+dj5svmM+WX5P/kZ+PP4zfim+ID4Wfgz+A335/fD96D3f/dh90X3K/cS9vn24fbJ9rH2mPZ+9mP2RvYp9gv17vXQ9bT1mfV+9WX1TPUz9Rr1AfTo9M/0t/Sg9Ir0dPRf9Ev0OPQk9BDz+vPk88zzs/Ob84PzbvNb803zQvM68zPzLvMm8xzzDfL68uTyzPK08p/yjvKA8nbybvJl8lryTPI88inyFvIE8fPx5PHW8cnxvvG08avxovGa8ZDxhPF48WrxXPFQ8UbxP/E78TnxNvEw8SjxG/EM8Prw6PDW8MXwtPCj8JHwf/Bs8FvwTvBH8EjwUfBj8H3wnPC88Nvw9fEK8RnxIvEo8S3xMvE58ULxS/FT8VnxXPFd8VzxW/Fb8V3xYPFj8Wfxa/Fv8XPxefGB8Yrxk/Ga8Z/xofGh8Z/xnfGd8aHxqPGz8cHx0fHk8fnyD/In8j/yU/Jj8mzya/Jh8lHyO/Il8hLyBPH/8gHyCvIX8iXyL/I18jTyLfIg8hHyAfHy8eTx2PHM8b/xsPGf8YzxePFl8VTxRPE28SfxGPEG8PLw3PDH8LLwn/CP8IDwdPBo8F3wUfBF8DbwJPAQ7/jv3+/F763vmO+H73nvbe9f703vNe8V7u3uv+6O7lzuK+397dPtq+2I7WjtS+0y7R/tEO0H7QPtAe0B7QHs/ez37O7s5Oza7NTs0ezS7Nbs2+zd7Nvs1OzH7Lnsq+yh7J3sn+ym7LHsvOzG7M3s0uzT7NPs1OzU7Nbs2ezd7OHs5+zt7PTs++0E7QvtE+0a7SHtKO0v7TftQO1K7VTtYe1u7XztjO2b7antt+3D7c/t2u3m7fLt/+4M7hnuJO4v7jnuQu5N7lfuY+5v7nnugu6K7pHumO6g7qrutu7E7tLu3+7r7vbvAe8M7xjvJe8y7z3vR+9Q71fvX+9p73TvgO+N75nvou+p767vsu+3777vyO/T7+Dv7u/78AnwFvAi8C3wOPBC8ErwU/Bc8GbwcfB88IjwlPCe8KfwrvC18L3wxvDQ8Nvw5PDt8PTw+vD+8QPxCPEO8RTxGvEh8SnxMvE78UXxT/FY8V/xZPFm8WjxavFs8XHxdvF78YDxg/GE8Ybxh/GJ8Y3xk/GZ8Z/xpfGq8bDxtfG88cPxyfHP8dTx1/Ha8dzx4PHl8evx8fH28frx/PH+8gDyBPIK8hLyHfIo8jPyPPJE8kryUPJV8lryX/Jl8mvycfJ48oDyifKT8p7yqvK28sLyzvLY8uHy6fLx8vnzAPMJ8xLzHfMo8zTzQPNL81TzXPNh82bza/Nx83nzg/OO85rzpfOw87nzwfPI89Hz2vPk8+7z+vQF9BD0G/Qm9DP0QfRQ9GD0b/R89Ib0jPSQ9JL0lPSY9KH0rvTB9Nb07fUD9Rf1J/U19T/1R/VO9VX1XfVm9W/1evWF9ZH1nPWm9bD1uPW/9cX1yvXP9dT12fXe9eP16PXt9fL1+PX+9gT2DPYT9hr2IfYn9i72NvZA9kr2VvZi9m/2e/aI9pT2oPat9rn2xvbT9uH27/b89wr3F/ck9zD3PPdI91X3Yfdu93v3iPeT9533pfet97P3u/fE99D33/fv9//4EPgf+Cz4OPhE+FH4YPhx+IT4mvix+Mn44fj4+Q/5JPk4+Ur5Wvlp+Xf5hfmT+aH5sfnC+dL54/nz+gP6Evoh+i/6PvpN+l76cfqF+pz6tPrO+uf6//sU+yb7NPtB+0v7Vftf+2n7dfuC+5H7ofux+8P71vvo+/z8D/wi/Df8TPxj/Hr8k/ys/MX83/z6/Rb9M/1R/XD9jv2s/cn95P3//hn+NP5P/mr+hv6h/r3+2/76/x3/RP9u/5n/xP/tABQAOABZAHoAmwC9AN8BAAEfATwBVwFvAYgBoAG6AdYB8gIPAi0CSwJqAosCrQLQAvQDGAM7A10DgAOkA8kD8QQbBEUEbQSUBLcE2AT3BRgFOgVgBYYFqQXIBdsF4gXaBcQFowV9BVcFNwUhBRgFHgUzBVQFgQW2BfMGNwaABs0HHQdtB7kH/gg4CGUIhAiVCJ0IoAiiCKcIsQi/CM8I3wjsCPUI+gj9CP8JAwkHCQkJBgj6COIIvgiRCGIINQgRB/gH7AfoB+kH6wfpB+QH3gfZB9kH3gfmB+0H7wfpB9sHyAe2B6oHqQe0B8kH5QgBCBsILwhACE4IWwhoCHUIfgiDCIAIdwhoCFYIQggtCBYH+wfbB7cHkAdqB0oHMgckByEHJgcwBz0HTAdcB2wHfQeMB5cHnAeZB5AHgwd0B2cHXwdaB1gHVgdTB04HSgdKB04HWQdoB3YHgAeDB3wHbgdeB1AHSQdJB1AHWQdgB2EHWwdPB0IHNQcsBycHJAciBx8HGAcOBwMG+AbuBuYG4AbcBtgG1QbRBs0GyQbEBrwGsgalBpMGfwZpBlQGQAYwBiUGHQYZBhgGGAYZBhgGFQYNBgAF7gXXBb4FpAWLBXUFYQVPBT8FMQUjBRgFEAULBQoFCgUMBQwFCgUEBP4E9wT0BPQE+AT+BQMFBQUABPYE5wTXBMgEvwS+BMQEzwTeBOsE9AT3BPQE7QTkBNsE1gTWBNkE4ATnBO0E8QTxBO8E7ATqBOgE6AToBOcE5QThBNwE2ATWBNYE2wTiBOsE9AT6BP8FAgUFBQkFDwUZBSYFNAVDBUsFVwVhBW0FeQWHBZUFowWwBbwFyAXVBeIF8wYGBhsGMgZKBmMGfAaWBq8GyAbfBvUHCAcZBykHOQdIB1kHaQd6B4kHlwelB7MHwgfVB+sIBAgeCDcITQhgCHAIfQiKCJYIpAixCL8IywjVCN8I5wjuCPUI+wj/CQIJAgkACP0I+gj5CPsJAAkGCQ0JFQkbCSAJIgkiCR4JFgkMCP8I8gjoCOII4gjpCPYJBgkXCSUJLgkxCTAJLAkmCSAJGwkYCRUJEwkTCRMJFQkaCSEJKQkzCT4JSQlTCV0JZgluCXYJfgmHCZEJnAmpCbcJxgnVCeMJ7wn5Cf8KAQoACfwJ9wnyCe8J8An3CgQKFwowCksKZwqBCpkKrQq+Cs0K3QrtCv4LEQskCzYLRwtWC2YLdwuJC50LsQvGC9gL6Av0C/4MBQwMDBQMHQwoDDIMPAxFDEoMTQxNDEsMRwxDDD4MOgw3DDQMMgwwDC8MLgwsDCkMJQwiDB4MGgwXDBQMEQwNDAgMAAv2C+sL3wvUC8sLxgvCC8ALvQu6C7YLsAuqC6ULoguiC6MLpQunC6gLqQurC68LtwvCC88L3QvqC/QL/AwBDAUMCQwNDBEMFAwVDBMMDQwHDAAL+Qv1C/EL7gvqC+QL3QvUC8sLwwu7C7ULsAurC6ULnwuZC5ELiAt+C3ILZAtSCz8LKgsWCwIK7wrfCtEKxgq8CrQKrAqlCp4KlwqNCoMKdwprCl8KVApJCkAKNQoqCh4KEQoFCfoJ8AnnCd4J1QnJCbwJrwmiCZcJjwmICYEJdwlpCVYJPwklCQoI8AjYCMAIqQiRCHcIXAhACCcIDwf7B+sH3QfQB8YHvQe3B7QHsgexB68HqAecB4kHcAdTBzQHFQb3BtsGvwaiBoEGXAYzBgcF2AWqBXwFTwUkBPoE0gSrBIYEYgQ/BBsD9wPSA6wDhANdAzcDEgLuAssCqQKFAmECOgISAegBvQGSAWcBPQEVAPAAzwCxAJYAewBfAEAAHf/2/83/pv+D/2b/UP9A/zH/Iv8O/vX+1v6z/oz+Zf4+/hf98f3L/aX9f/1Z/Tb9Ffz2/Nr8wfyp/JX8g/x1/Gn8YPxY/E78Q/w0/CH8C/vz+9j7vPud+3z7WPsy+wv65/rF+qj6kPp7+mj6VPo++iT6Bfni+bz5k/lq+T/5Ffjr+ML4mvh0+E/4KvgG9+P3wfeg94D3YvdG9yz3FPb99ub20Pa69qP2i/Zx9lb2OfYa9fn12fW59Zv1f/Vl9U71N/Uh9Qv09fTd9MT0q/SS9Hj0X/RG9C/0GPQC8+3z2fPF87Hzm/OG83HzXPNI8zjzKvMg8xjzEvML8wPy9/Ln8tTyvvKo8pTygvJz8mXyWfJM8jzyKvIV8f/x6PHT8b/xrvGg8ZTxifGA8XfxbfFi8VPxQPEr8RXxAPDv8OTw3/Dg8OXw6PDp8OPw1vDD8KzwlPB98GjwVfBF8DfwKfAd8BLwCvAI8AvwFvAn8D/wWvB28JLwqvC98Mzw1fDd8OPw6fDx8PrxA/EM8RPxGPEa8RrxGfEY8RfxF/EZ8RvxHvEi8SbxLPE08TzxRfFM8VLxVvFY8VjxV/FY8VrxX/Fm8XDxffGM8Z7xs/HK8ePx+/IR8iDyKPIn8hzyCvHz8dzxyPG78bfxvfHK8dvx7PH58f7x+/Hw8d/xy/G48afxmPGL8X/xcfFi8U/xO/En8RPxAfDw8OHw0fDA8K/wnPCJ8HbwZPBU8ETwNvAo8BvwD/AC7/bv6O/Z78fvtO+g74vveO9n71nvTu9E7zrvLO8a7wLu5e7D7p3udu5O7ibt/u3W7a7the1c7TftFez67Ofs2+zX7Nbs1uzV7NDsx+y97LLsq+yp7Kzss+y87MPsx+zF7L7stOyp7KDsm+yb7J7spOyr7LHstuy67Lzsv+zC7MbsyuzQ7Nbs3ezk7Ovs8uz37P3tAe0F7QrtD+0V7RztJO0t7TftQe1N7VrtaO137YXtk+2h7a7tuu3G7dLt3u3p7fTt/u4H7hDuGe4k7jDuPe5K7lbuYO5p7nDueO6A7onule6h7q3uue7D7szu1e7f7uru9u8E7xHvHu8p7zPvPO9E70zvVO9d72Xvbe9173zvhO+M75Xvne+m767vt+/B78zv2O/m7/XwA/AQ8BvwJPAr8DPwPPBF8E/wWPBg8GfwbfBz8HnwgPCJ8JLwm/Cj8KvwsvC58MHwyPDQ8Nfw3vDk8Orw8fD58QHxCvES8RnxHvEi8STxJvEp8S3xM/E68UDxRfFI8UrxTPFO8VDxVfFa8WDxZ/Ft8XTxe/GC8YnxkPGW8ZzxoPGk8afxq/Gw8bbxu/HA8cTxx/HJ8czxz/HU8dvx5PHt8fXx/PID8gjyDfIR8hfyHPIj8inyL/I28j7yR/JS8l7yavJ38oLyjPKU8pvyovKp8rHyuvLE8s/y2/Ln8vLy/fMI8xHzGfMh8yjzL/M38z/zSfNT813zaPNy83vzhfOP85nzpPOv87vzxvPS893z6PP09AH0EfQj9Df0SvRc9Gv0dvR99ID0gvSD9Ib0jfSX9KX0tvTI9Nr07PT89Qr1F/Uj9S71OPVC9U31V/Vi9W31d/WB9Yr1kvWZ9aD1pvWs9bL1uPW+9cX1y/XS9dn14fXp9fH1+vYB9gn2EPYX9h72J/Yx9jz2R/ZR9lv2ZPZt9nf2gvaO9pz2q/a69sn21/bk9vD2/PcI9xT3IPcs9zn3RfdR91z3Z/dx93r3hPeN95b3ofes97r3yffY9+f39/gG+BT4Ivgx+EH4Uvhl+Hj4i/ie+LL4xvjc+PH5CPkd+TL5RflW+WT5cPl7+Yf5lPmj+bP5xvnY+ev5/PoN+hz6LPo7+k36YPp2+o76p/rB+tr68fsG+xj7Kfs3+0T7Uftc+2f7cvt8+4f7k/ug+7D7wvvW++v8APwV/Cn8PfxR/Gf8fvyX/LP80fzw/RD9MP1Q/W/9jf2r/cf94v39/hf+MP5I/mD+ef6S/q7+zP7u/xT/Pf9p/5X/wf/qABEANQBXAHgAmAC3ANYA9AESAS4BSQFlAYEBnAG4AdIB6wIEAhsCNAJPAm0CjwK0AtkC/wMjA0YDZwOJA6wD0gP6BCQETQR1BJoEvwTiBQcFLQVUBXoFnAW1BcIFwAWvBZEFawVDBR4FBAT6BQEFHQVKBYgF0QYiBncGywcbB2cHrAfpCBwIRghlCHoIhQiKCIsIjQiTCKAItAjOCOsJBwkgCTQJQAlHCUkJRwlACTQJHwkBCNkIqAhzCEAIFAf1B+MH3wfkB+wH8wf0B+8H5gfbB9MHzgfNB84HzwfOB8kHwQe4B7AHrAesB7AHtQe7B8AHxAfKB9EH2gfmB/EH+gf+B/0H9wfuB+MH2QfOB8EHsQecB4IHZAdIBzAHIAcZBxwHJQcyBz8HTAdWB14HYwdmB2QHXAdPBzwHJgcQBv0G7wbnBuUG6QbvBvgHAwcQBx8HLwc9B0cHSwdJBz8HMgclBxoHFAcTBxYHGgcbBxgHEgcJBwAG+gb3BvYG9gb0Bu8G5gbZBsoGugasBp8GlAaLBoQGfgZ5BnMGbAZjBlgGSgY6BigGFQYEBfUF6QXhBdoF1QXQBcwFxwXDBcAFvAW5BbMFqgWeBY0FeAVhBUcFLQUTBPoE5ATSBMQEvAS5BLoEvgTBBMIEwAS8BLcEtQS1BLsExQTQBNoE3gTbBM8EuwSlBI8EfwR3BHgEgQSQBKEEsAS6BL8EvgS6BLUEsQSvBLAEswS3BLsEvgTABMEEwQTDBMUExwTJBMkExwTDBL4EugS4BLoEwATHBNAE2QTgBOYE6wTxBPkFBQUSBSEFMAU/BUoFVQVgBWwFeQWHBZUFowWvBboFxQXSBeEF8wYJBiEGOgZSBmkGfwaUBqgGvAbOBt8G7wb9BwkHFgckBzMHRQdYB2wHfweSB6QHtgfJB9wH8QgECBgIKQg4CEUIUgheCGwIewiJCJcIogirCLMIuQi/CMQIygjOCNEI0gjRCM8IzgjPCNMI2gjiCOoI8Qj1CPUI8QjqCOAI1QjKCL8Itwi0CLYIvAjICNYI5AjwCPgI/Aj8CPkI9QjyCPEI8QjxCPII8QjwCO4I7wjyCPkJAwkQCR0JKgk2CT8JRglMCVIJWAlgCWkJdAmACY0JmwmpCbYJwQnKCdAJ0QnPCcoJxAm+CbwJvgnHCdcJ7goICiUKQgpdCnQKiAqZCqkKuQrKCtwK7wsBCxILIgsxCz8LTgteC28LgguWC6kLuQvHC9IL2wvjC+sL8wv9DAgMEgwbDCIMJwwoDCcMJAwfDBoMFgwTDBEMEAwRDBIMFAwWDBcMGAwXDBUMEgwNDAcL/wv1C+kL3AvOC8ALsgunC58LmguYC5cLlguVC5MLkAuMC4kLhwuGC4ULhQuEC4MLgwuEC4gLkAubC6kLuAvGC9IL3AvjC+oL8Av1C/sMAAwDDAQMAgv/C/oL9QvwC+wL6AvjC90L1QvMC8MLuQuwC6cLoAuaC5QLjwuJC4ILeQtuC2ELUQs/CywLGgsHCvYK5grXCsgKuQqrCp4KkgqHCn4KdQprCmEKVwpLCkEKNgosCiIKFwoMCf8J8gnlCdkJzwnHCcEJugmyCakJnwmWCY0Jhgl+CXYJbAldCUkJMgkZCQAI6AjRCL0IqAiTCHsIYAhECCgIDAfxB9gHwAepB5MHfwdtB2AHVwdSB08HSwdGBzsHLAcYBwAG5gbMBrIGlwZ6BlsGOAYTBeoFvwWUBWoFQQUZBPIEzASnBIEEWwQ0BAwD5AO7A5MDawNFAyEC/wLeAr4CngJ8AloCNgIRAeoBxAGeAXgBVAEzARUA+QDfAMYAqgCKAGQAOgAM/97/tf+T/3n/Z/9Z/0z/O/8k/wX+4P62/o3+Zf4//hz9+f3W/bH9i/1k/T/9G/z6/Nv8wPym/I/8evxn/Fj8S/w//DP8JPwR+/r74PvD+6X7h/tr+0/7Nfsa+v764vrG+qr6j/p0+lr6P/oi+gT54vm9+ZX5a/k/+RL45fi6+JH4avhG+CT4A/fj98T3pfeH92r3T/c29yD3C/b39uT20Pa89qb2jvZ19ln2PPYc9fz12/W79Z31gPVm9U31NvUf9Qf07/TW9L30ovSH9Gz0T/Qz9Bbz+/Ph88rztfOj85PzhfN282bzVvNE8zPzI/MW8wvzAvL68vHy5vLZ8sfys/Kd8ojyc/Jg8k3yO/Io8hPx/PHj8crxsPGY8YPxcfFh8VXxSvFA8TbxK/Ec8Qnw8vDX8LvwofCN8IDwe/B98IXwjPCR8JDwh/B38GPwTfA38CTwFfAJ8ADv+u/17/Lv8u/17/rwA/AO8BvwKfA48EjwV/Bl8HPwf/CL8JXwn/Co8LDwuPDA8MfwzfDR8NTw1fDV8NXw1PDT8NTw1fDZ8N7w5PDr8PPw+/EC8QjxDPEP8RHxEvEV8RjxHPEh8SjxMPE58UTxUvFk8Xjxj/Gl8bnxyPHQ8c/xxfG08Z7xifF58XDxcfF78YvxnfGt8bbxuPGx8aPxkPF98WrxW/FN8UHxNfEn8RfxBPDw8NzwyPC18KTwk/CD8HPwY/BT8EPwMvAi8BHwAO/u79zvyu+576rvne+R74bve+9v72PvVu9I7zrvK+8d7w/vAe7y7uLu0e6+7qnuk+577mLuRe4k7gDt1+2p7XrtTe0j7QHs6OzZ7NPs0ezR7M7sx+y77Kvsm+yO7IbsheyK7JPsnuym7Kvsq+yo7KLsnOyX7JTsk+yV7Jjsm+yg7KTsqeyt7LPsuezB7Mns0ezZ7OHs6Ozt7PHs9Oz37Pns/e0C7QftDe0U7RztJO0t7TftQu1O7Vztau147Yftle2j7bDtvO3H7dDt2e3h7ent8u397gnuF+4j7i/uOe5B7knuUO5Z7mTucO597orule6f7qjur+647sHuze7a7ufu9O8A7wrvEu8Z7x7vIu8n7yzvM+8870XvUO9b72Xvbe9z73jvfO+C74vvlu+l77bvxu/V7+Hv6u/x7/fv/fAE8AzwFfAd8CXwLPAz8DrwQPBH8E7wVfBc8GPwavBz8HzwiPCT8J3wpvCt8LHwtfC48LvwwPDG8Mzw0fDW8Nrw3vDi8Ojw7/D38P7xBfEK8Q7xEvEV8RnxHvEl8SzxNPE88UTxS/FS8VjxXfFi8WbxavFt8XHxdPF58X3xgvGG8YrxjfGP8ZLxl/Gc8aPxq/Gz8brxwfHH8c3x0vHY8d7x5PHq8e/x8/H48f/yCPIT8iDyLvI78kfyUPJY8l7yZfJs8nTyfvKJ8pTynvKn8rDyuPLA8sry1fLh8u7y+/MH8xLzHPMk8y3zNfM980fzUvNd82rzd/OE85HznfOp87Tzv/PL89jz5vP39Ar0HvQy9EX0VfRi9Gv0cfR09Hf0efR99IP0i/SW9KT0s/TE9NT05fT19QP1EfUd9Sn1M/U99Uf1UPVY9V/1ZvVt9XT1fPWD9Yr1kvWa9aL1q/W09b71yfXT9d315fXt9fP1+vYA9gj2EfYc9ib2MPY69kP2S/ZU9l/2a/Z69on2mvap9rf2xPbP9tr25Pbv9vv3CPcU9x/3Kvc09z33R/dR91z3aPd094H3jvea96b3sve+98v32Pfm9/b4CPgb+C/4Q/hW+Gj4efiI+Jj4qPi6+M745fj8+RP5KPk5+Uj5VPlf+Wv5efmJ+Z35svnH+dz57/n/+g76Hfos+j76U/pr+oX6n/q5+tH65vr5+wn7GPsm+zT7QvtQ+137aft0+377iPuU+6L7svvF+9n77fwB/BX8KPw8/FP8bPyI/Kf8yPzq/Qv9K/1J/Wb9gv2d/bj91P3v/gr+JP48/lT+bP6E/p/+vf7f/wX/Lf9Y/4P/rf/V//0AIwBIAGsAjQCuAMwA5wEBARsBNAFPAWsBiAGkAcAB2QHwAgYCHgI4AlcCeQKfAsUC6gMNAy4DTANqA4oDrQPTA/wEJgRPBHgEoATHBO8FFgU9BWEFgAWWBaMFpAWbBYoFdQVgBVAFSQVPBWMFhwW6BfsGRQaVBuYHMwd5B7QH5AgKCCcIPQhOCF4IbAh6CIoInAiwCMcI4Qj9CRkJMwlJCVkJYwlmCWMJWQlJCTMJFwj2CM8Ipgh9CFYINggeCA8IBwgECAIH/wf5B+8H4gfUB8cHvAe0B64HqQekB6AHmweYB5UHkweSB5AHjQeIB4QHgQeAB4MHigeRB5cHmgeXB48HhQd7B3QHcAdwB3EHbwdoB1sHSAcyBx8HEgcOBxMHHwcuBz0HSQdPB08HSQc/BzIHIgcQBv4G7AbcBtAGyQbHBskGzwbXBuAG6AbwBvYG+gb7BvoG9gbxBuoG5AbfBt0G3QbeBt4G3QbaBtQGzwbKBsgGyAbKBswGzAbJBsEGtQanBpcGiAZ6Bm0GYAZTBkYGOQYsBiAGEwYHBfoF7AXdBc8FwgW4BbAFqwWmBaEFmwWRBYYFeQVuBWUFYAVeBV4FXgVbBVUFSAU2BR4FBAToBM4EtwSlBJkElASUBJcEmgScBJsElgSNBIQEfQR5BHsEgQSKBJIEmASXBI8EggRwBF4EUARHBEUESwRXBGcEdwSFBJAElwSaBJsEmgSZBJkEmgSbBJsEmwSbBJoEmwScBJ8EowSmBKcEpwSmBKMEogSiBKYErAS0BLwExATLBNIE2gTjBO8E/gUPBSAFMAU+BUYFUQVbBWYFcgV/BY0FmgWmBbIFvwXOBeAF9QYNBicGQAZYBm0GgQaSBqIGsgbBBs4G2gbkBu0G9gcBBw8HHwcyB0cHXQdyB4UHmAepB7oHygfbB+wH/QgOCB4ILgg+CE0IWwhnCHEIeQh/CIUIigiRCJgInwilCKkIqwirCKoIqgirCK8ItQi7CMAIwwjBCLsIswioCJwIkgiKCIUIgwiFCIsIlAifCKoItAi8CMIIxAjECMMIwwjFCMgIzAjPCNEI0QjPCM0IzAjPCNUI3wjsCPkJBgkQCRgJHgkjCSkJMAk5CUIJTQlYCWMJbwl6CYUJkAmYCZ4JoAmfCZsJlQmQCY8JkgmcCa0JwwncCfcKEgosCkMKWAprCn4KkQqkCrcKygrdCu4K/QsLCxgLJAsxCz4LTgteC3ALgQuSC6ILsAu8C8cL0gvbC+QL7Qv0C/oL/gv/C/4L+wv3C/IL7QvqC+cL5gvnC+oL7gvzC/oMAAwEDAcMBgwAC/YL6AvXC8MLrwucC4sLfQtzC20LaQtoC2gLaAtpC2kLaAtnC2ULZAtiC2ALXwtdC10LXgthC2gLcQt8C4kLlguiC60Ltgu+C8ULzAvTC9oL4QvmC+kL6wvrC+oL5wvjC98L2QvTC8oLwQu2C6sLoAuWC40LhguAC3wLdwtyC2oLYAtSC0ELLgsaCwgK9wrpCt0K0grHCroKrAqdCo0KfwpzCmkKYApXCk4KRAo5Ci4KIwoZCg4KAwn2CekJ2gnMCb8JtAmrCaQJngmXCY8Jhgl9CXMJawlkCV0JUwlHCTgJJQkPCPgI4gjOCLsIqAiVCIAIZwhNCC8IEQfyB9MHtAeUB3QHVAc3Bx4HCwb9BvYG8gbwBu0G5wbcBs0GuAafBoMGYwZABhsF9AXMBaQFfAVXBTUFFQT4BNsEvgSgBH4EWgQzBAkD3gOzA4kDYQM7AxgC9wLYArkCmgJ8AlwCPAIbAfkB2AG2AZUBdQFXATwBIgEJAO8A0QCuAIQAVQAj//T/y/+s/5b/iP9//3T/ZP9M/yz/Bf7b/rD+iP5j/kH+IP3//dz9uP2U/XD9Tv0t/Q787/zR/LP8lvx7/GP8T/w8/Cr8Fvv+++H7wPud+3v7W/tA+yn7FfsE+vP64PrK+rH6lPp1+lT6MPoL+eT5u/mQ+WT5NfkH+Nn4rfiE+F74PPgd9//35PfI9633kfd39133Rvcx9x73Dvb+9u/23/bN9rn2o/aK9m/2UvY09hT19PXU9bT1lfV39Vn1PPUf9QP05/TM9LH0lvR79F/0QvQk9Abz6PPM87PznvOM83/zc/Np817zUfNC8zLzIfMS8wTy+PLt8uPy2PLK8rnypfKO8nfyX/JH8jDyGPH/8eTxyPGr8Y7xc/FZ8UPxMPEg8RLxBfD68O7w4fDS8L/wqvCS8HrwZPBS8EfwQvBD8EfwTPBP8E7wSPA98DDwIfAU8Ajv/+/57/Tv8u/x7/Lv9O/27/nv/O/+7//v//AA8APwCfAS8B/wLvA98EvwVvBe8GTwaPBt8HPwevCC8IvwkvCX8JrwmvCY8JbwlfCW8JnwnvCk8KvwsfC38Lvwv/DC8MXwyvDO8NTw2vDf8OPw5/Dr8O/w9vEA8Q/xIfE38U3xYfFw8Xjxd/Fu8V7xS/E58SzxJ/Ep8TPxQfFQ8V3xY/Fi8VvxT/E/8S/xH/ER8QXw+PDr8N3wzvC98KvwmPCG8HTwYvBQ8D7wLPAb8Arv+e/p79nvyO+276TvkO9+72zvXO9O70PvOu8z7yzvJO8b7w/vAe7x7uDuz+7A7rLupu6b7pHuh+587m/uXu5J7i/uD+3q7b/tku1l7TztGu0B7PHs6ezm7OPs3ezS7MDsquyS7H3sbuxl7GXsa+x07H7shuyL7I3sjOyJ7IbshOyE7ITsh+yJ7I3skuyX7Jzso+yq7LPsvOzF7M3s1Oza7N/s4uzm7Ons7Ozw7PTs+ez/7QTtCu0Q7RftIO0q7TbtQ+1R7WDtcO1/7Y3tmu2l7a7ttu297cXtzu3Y7ePt8O377gbuD+4W7h7uJe4v7jruR+5V7mPub+557oLuie6Q7pjuoe6r7rbuwe7M7tXu3e7i7ufu6u7u7vLu+O8A7wnvFO8e7yjvMO817znvPO9A70fvUe9e727vfe+M75jvou+p77Dvt++/78fv0O/a7+Pv7O/07/zwBPAL8BHwFvAb8B/wJPAr8DXwQPBN8FrwZvBu8HPwdvB38HfwefB88H/whPCK8I/wlPCZ8J/wpvCu8LbwvvDF8Mzw0vDY8N/w5/Dv8PnxA/EN8RbxHvEl8SvxL/Ez8TbxOfE88UDxRPFI8UzxT/FR8VPxU/FU8VXxWPFd8WPxavFx8XnxgPGI8ZDxmfGi8arxsfG38bvxvvHB8cXxzPHW8eLx8PH98gnyEvIa8iHyKfIy8jzySfJV8mHyavJx8nfyffKD8o3ymfKo8rjyyfLX8uTy7vL38wDzCfMS8x3zKfM280LzT/Nb82fzdPOA843zm/Oo87bzxPPT8+Tz9fQH9Bn0KvQ69Ej0U/Ra9F/0YvRl9Gj0bPRz9H30ifSX9Kb0tvTF9NT04vTv9Pv1BvUQ9Rn1IfUp9TH1OPU/9Ub1TvVX9WD1afVy9Xz1iPWU9aD1rfW49cP1zPXT9dn13vXl9ez19fYA9gr2FfYf9in2M/Y+9kr2WfZp9nr2ivaY9qX2sPa59sP2zvba9uf29PcA9wv3FPcc9yT3Lvc590X3U/di92/3fPeH95H3m/el97H3v/fP9+H39fgK+B74MvhD+FP4Yvhv+H34jPie+LL4yfjg+Pb5Cvkc+Sr5N/lE+VP5Zfl6+ZL5q/nC+df56Pn3+gL6Dvoc+i76RPpe+nr6lvqx+sj62/rq+vf7BPsQ+x77LPs8+0v7Wftm+3H7fPuI+5X7pPu0+8b72fvs+//8FPwq/EP8X/x+/J/8wfzj/QP9If08/VX9bf2G/Z/9uv3V/fD+C/4l/j/+Wv51/pP+s/7X/v3/Jf9N/3T/mv/A/+YADAAyAFcAfACeAL0A2QDxAQgBHwE4AVIBbQGKAacBwgHcAfYCEQItAk0CbwKTArcC2gL6AxkDNgNUA3MDlQO5A98EBwQvBFYEfQSkBMsE8gUZBT4FXwV8BZMFpAWxBbwFxQXPBdoF5gX2BgoGJAZGBnEGpQbfBx0HWgeSB8EH5wgECBoILghCCFgIcwiSCLEI0QjtCQYJGwksCTsJSAlSCVkJWwlYCU4JPQkmCQwI7wjSCLgIoQiNCHwIbAhdCE0IOgglCA8H+QfjB9AHwQe1B6sHoweZB48Hggd1B2kHYAdaB1kHWgdbB1wHWgdVB04HSQdGB0cHSwdRB1UHVQdPB0QHNgcpByAHHQcgBycHLgcwBywHIgcTBwUG+Qb2BvoHBgcWByYHMQc1BzEHJQcUBwAG7AbbBs0Gwwa+BrwGvQa/BsMGxQbHBscGxQbABroGsgaqBqEGmQaTBpEGkQaTBpYGmQaaBpgGkwaNBogGgwaCBoQGhwaJBokGhAZ7Bm8GYgZVBkoGQQY5BjIGKQYdBg8F/wXvBd8F0QXFBbkFrgWiBZYFigV/BXcFbwVpBWMFWwVRBUUFOAUrBSAFGQUVBRMFEwUSBQ4FBgT5BOgE1AS/BKsEmQSNBIUEgwSDBIYEiASIBIQEfARxBGQEWARPBEoESQRLBE8EUgRUBFIETQREBDoEMAQoBCQEJQQsBDYERARTBGIEbwR5BIAEhQSIBIkEigSKBIkEiASFBIQEggSCBIMEhQSHBIgEiASJBIkEigSNBJMEmwSjBKwEtQS8BMQEzQTYBOYE9gUJBRsFLAU6BTwFRgVPBVkFZAVyBYEFkQWiBbMFxQXZBe4GBgYeBjcGUAZmBnsGjQaeBq4GvQbLBtcG4gbpBu8G9Qb7BwMHDgcdBy4HQAdTB2QHdQeEB5MHogeyB8IH1QfnB/oIDAgcCCsINwhACEcITQhSCFkIYAhqCHQIfQiFCIoIjAiMCIsIiwiNCJAIlAiXCJcIkwiMCIEIdQhpCF8IWAhUCFMIVQhYCF4IZQhtCHYIfgiGCIwIkQiUCJcImgieCKIIpwirCK0IrQisCKoIqwiuCLUIvgjJCNQI3gjmCOwI8Qj2CP0JBQkPCRoJJQkwCTsJRQlPCVkJYwlrCXEJdAlzCXAJawloCWcJbAl2CYYJmgmxCcoJ4wn8ChQKKwpBClYKawp/CpIKowq0CsUK1ArjCvEK/gsKCxYLIgswCz4LTgtgC3ILhQuWC6YLswu+C8YLzQvSC9UL1gvVC9ML0AvMC8gLwwvAC70Luwu7C74LwwvKC9ML3QvmC+sL7AvmC9oLxwuwC5cLfwtpC1gLTAtECz4LOws6CzgLOAs3CzgLOQs6CzwLPQs+Cz4LPwtBC0QLSQtQC1kLYwttC3YLfguGC4wLkwuaC6ELqQuyC7oLwQvHC8sLzwvRC9EL0QvOC8kLwgu5C60LoQuTC4YLegtwC2gLYwtfC10LWgtVC00LQQswCxsLBgrxCt4K0ArFCr0KtgquCqUKmQqMCn8KcwppCmIKWwpTCksKQQo1CigKGwoPCgQJ+QntCeAJ0QnBCbEJowmWCYoJgAl1CWoJXglSCUcJPQk2CTEJKwkkCRoJDAj7COcI0wi/CKwImQiGCHIIWwhCCCYICQfqB8sHqgeIB2QHQAccBvoG3QbFBrUGqwalBqMGoAaaBpAGfwZnBkkGJgX/BdUFqwWBBVkFNQUVBPkE4ATLBLYEoQSJBG4ETgQrBAUD3QO0A4wDZQM/AxoC9wLWArUClQJ3AloCPQIhAgQB5wHKAawBjgFzAVkBQQEqARIA9QDTAKsAfQBMAB3/9P/T/7v/qv+e/5P/g/9u/1P/Mv8O/ur+xv6l/oT+ZP5C/iD9/f3a/bj9lv1z/VD9K/0F/N78uPyW/Hn8YPxL/Db8IPwE++P7vvuV+277TPsv+xr7C/r/+vP65vrT+rv6nvp7+lP6KPn5+cn5lvli+S34+vjJ+Jz4dPhQ+DD4Fff89+T3zfe19533hPdt91f3Q/cy9yT3GPcN9wL29vbn9tb2wvar9pL2dvZX9jf2FfXz9c/1q/WH9WT1QfUf9P703vTA9KL0hvRp9E30MfQU8/fz2/PB86jzk/OB83LzZvNa803zQPMx8yDzEPMA8vHy4/LW8sryvPKs8pnyg/Js8lPyOvIh8gbx6/HN8a7xjvFt8U3xMPEX8QHw7/Dg8NPwx/C68K3woPCR8ILwc/Bl8FjwTfBE8D/wPfA88DzwPPA68DXwMPAp8CLwHfAZ8BbwFPAT8BHwDvAL8AnwBvAE8ALv/u/47/Dv6O/g79vv2+/f7+jv8+//8AjwDvAQ8A/wDvAP8BPwHPAp8DjwSPBU8FzwYPBf8F3wWfBW8FbwWPBc8GHwZvBr8G/wcvB18Hrwf/CF8I3wlPCa8J/wofCj8KXwqPCu8LrwyvDe8PXxC/Ef8SzxMfEu8SPxEvEA8O7w4fDb8Nzw4vDt8PnxA/EJ8QvxBvD+8PLw5PDV8MbwuPCq8Jzwj/CA8HHwYvBR8D/wLfAa8AXv8e/c78jvte+k75Tvhu9572vvXe9N7zvvKO8V7wTu9e7p7uDu2e7T7svuwe607qbul+6K7n/udu5v7mnuY+5c7lPuR+457inuFe387d/tvu2Z7XLtTu0v7RftB+z97Pjs8+zr7N3syOyu7JLseOxj7FXsT+xP7FTsXOxj7Grsbuxx7HLscuxy7HPsdOx17Hfseex97ILsiOyP7JfsoOyo7LDst+y97MPsyOzN7NHs1uzb7N/s5Ozo7O3s8uz37P3tBO0M7RXtIO0s7TntR+1W7WTtce187Ybtju2V7ZztpO2t7bftwu3N7dft4O3o7e/t9+4A7gvuFu4i7i/uOu5E7kzuVO5b7mLuae5v7nfufu6F7o3ulO6b7qLuqO6t7rPuuO6+7sXuze7W7t/u5+7v7vXu+u8A7wbvDu8X7yHvLO8370LvTe9X72Hva+9274Dvi++U753vpu+v77jvwe/J79Hv1u/a793v3+/i7+jv8O/78AfwFPAe8CbwLPAv8DHwM/A28DnwPfBC8EfwS/BQ8FTwWvBh8GjwcfB68IPwjPCW8J/wqvC08MDwy/DW8ODw6fDx8Pfw+/D+8QHxBfEJ8Q7xE/EZ8R7xIfEj8SLxIfEf8R7xHvEg8STxKPEu8TTxO/FE8U3xWPFj8W/xefGA8YbxivGN8ZHxlvGf8anxtPG/8cnx0vHZ8eHx6fH08gLyEfIh8i/yO/JE8kvyUvJZ8mLybfJ78orymfKm8rPyvvLJ8tXy4fLv8vzzCvMW8yDzKvMz8z3zSPNV82TzdfOG85bzpvO088Lz0PPf8+3z/fQM9Br0JvQw9Dn0QPRG9Ez0U/Rb9GT0b/R59IT0j/Sa9KX0sPS79Mf00vTd9Of08PT59QL1CvUT9Rz1JfUu9Tf1QfVL9Vf1Y/Vw9X71i/WY9aT1rfW09bv1wfXI9dD12vXl9fD1+/YG9hH2HPYo9jX2RPZU9mP2cfZ+9or2lPaf9qr2t/bE9tL23/bq9vT2/fcG9w/3Gvcn9zX3Q/dQ91z3Zfdu93f3gfeN95z3rffB99X36Pf7+Az4G/gp+Df4RPhT+GP4dPiI+J34s/jJ+N347/j/+Q75Hfku+UL5Wflz+Y/5qvnC+db55Pnv+fj6AfoO+h/6NfpP+mz6iPqh+rf6yfrX+uP67vr6+wf7F/sn+zf7R/tW+2T7cft++4v7mfuo+7j7yfvc+/D8Bfwd/Df8VPxz/JP8s/zS/PD9DP0m/T/9WP1w/Yj9ov28/db98f4N/in+SP5p/oz+sv7a/wP/K/9S/3f/mf+7/9v//QAgAEQAaACLAKwAyQDkAPwBEgEpAUEBWwF3AZUBsgHQAe0CCgIoAkYCZgKGAqYCxwLnAwgDKQNKA20DkAOzA9UD9wQXBDcEWAR8BKIEzAT4BSUFUQV8BaUFzQXzBhkGPQZeBnoGkQahBqsGsga7BskG3wcABykHWAeJB7cH4AgCCB8IOQhTCHAIkAixCNMI8QkJCRoJJQkqCS4JMQk1CTgJOgk2CSsJGAj+CN8IvwijCI8Iggh8CHoIdwhvCF4IQggdB/MHyAejB4YHdAdsB2sHawdqB2QHWQdKBzoHLQckByIHJAcoBysHKgclBxwHEgcKBwYHBgcJBw4HEQcQBwoHAAb2Bu4G6gbrBvEG+Ab+Bv8G+wbyBucG3gbZBtoG4QbrBvYG/gb/BvkG7AbaBsYGswakBpkGlAaTBpMGlQaVBpMGjwaKBoIGewZyBmsGYwZcBlYGUgZQBlAGUgZUBlYGVgZTBk4GRwZABjoGNwY2BjcGNwY2Bi8GJQYWBgYF9wXrBeIF3gXbBdkF1QXNBcMFuAWsBaIFmwWVBY8FiAV/BXIFYgVQBUAFMQUmBR0FFwUTBQ4FCQUCBPkE8ATnBN0E1ATMBMMEugSwBKUEmQSNBIIEeARwBGoEZwRmBGYEZgRkBGEEWwRTBEoEQQQ4BDEELQQqBCoEKgQrBCwEKwQnBCEEGgQRBAoEBAQDBAcEEAQcBCsEOgRIBFQEXgRlBGsEbwRyBHQEdQR1BHUEdARyBHEEcARwBG8EbwRvBHAEcgR3BH4EhwSRBJwEpgSwBLkExATQBN8E7wUBBRMFJAUxBTUFPgVHBVIFYQVzBYgFoAW6BdMF7AYEBhsGMQZGBloGbQZ/BpAGoAavBr4GzQbbBucG8Qb4Bv4HAgcGBwoHEQcbByYHMwdBB04HWwdnB3MHfweMB5sHqge7B8wH3AfrB/cIAggKCBIIGggiCCwINwhDCE4IWAhfCGMIZQhmCGcIaghuCHIIdQh1CHAIZghZCEoIPAgxCCkIJgglCCYIKAgrCC4IMwg6CEIITAhWCF8IZghsCHAIcwh3CHsIfwiDCIYIiAiJCIsIjQiRCJgIoQiqCLMIuwjACMUIyQjOCNUI3wjqCPYJAgkNCRcJIAkqCTMJOwlCCUcJSAlGCUEJPQk6CToJQAlLCVsJcAmHCZ8JuQnUCe4KCQoiCjkKTgpgCnAKfQqLCpkKqAq5CsoK3ArrCvkLBgsRCx0LKgs5C0oLXAtuC4ALjwucC6ULrAuvC7ALrwusC6gLpAufC5sLmAuWC5QLkwuTC5ULmAueC6cLsQu8C8MLxgvCC7YLowuMC3MLWwtHCzgLLgsnCyILHgsaCxYLEgsRCxELFAsZCx8LJAsoCysLLgsyCzcLPwtIC1ELWwtiC2cLawttC3ELdQt8C4ULjwuaC6MLqwuxC7ULuAu5C7oLuQu2C7ELqAudC48LfwtwC2ELVAtLC0QLQAs+CzwLOgs1CywLHwsNCvkK4wrPCr8KsgqqCqQKngqYCo8KhQp7CnEKaQpkCmAKXQpYClAKRAo3CicKGAoKCf4J8wnnCdoJygm4CaQJkAl9CWsJWglKCTwJLQkgCRQJCwkECQAI/Qj5CPII5wjZCMgItAihCI4IfAhqCFYIQAgoCA4H8gfVB7cHmQd6B1kHNQcQBuoGxQakBogGcgZjBlkGUgZKBj8GLwYaBf8F3gW7BZUFbwVJBScFBwTqBNAEuQSkBJAEewRlBE0EMgQVA/YD1AOxA40DaANCAxsC9QLPAqsCiAJoAksCMQIXAf4B5AHJAa4BkwF5AWIBTQE6AScBEQD2ANYAsQCHAFsAMQAL/+v/0P+6/6b/k/+A/2z/V/9A/yn/Ef73/tr+u/6Z/nX+T/4o/gD91/2q/Xv9Sv0X/Of8u/yW/Hn8ZPxT/EP8LvwT+/H7yvug+3f7VPs5+yX7F/sL+v/67/rZ+r36m/py+kX6E/nd+aX5a/kx+Pj4w/iT+Gr4SPgs+BT4APfs99j3wver95L3evdk91D3QPcz9yr3JPce9xj3EPcG9vf25fbP9rX2mPZ29lL2LPYD9dr1sfWI9WH1O/UX9PT00vSw9I/0bfRN9C30DvPx89bzvfOl85DzfPNp81fzRvM18yTzE/MC8vHy4PLQ8sHysvKj8pPygvJu8lnyQvIq8hHx+PHf8cXxqfGL8WvxSvEo8Qnw7PDV8MLws/Cn8JzwkfCF8HfwafBa8E7wQ/A88DjwNvA38DnwOvA78DvwOfA28DLwLvAt8C3wL/Az8DfwOvA78DrwNvAw8CjwIPAY8A/wBu/77/Dv5e/a79Dvyu/G78TvxO/D78Dvu++z76rvpO+h76Tvru+/79Pv6O/88AvwFPAY8BjwFfAS8BDwEPAT8BfwG/Ag8CTwJ/Aq8C7wM/A48D/wR/BN8FPwV/Ba8FzwYPBm8HDwf/CR8KbwvPDP8N7w5/Dn8OHw1PDD8LDwn/CS8IrwiPCM8JXwn/Cq8LHwtfC08K7wo/CV8IbwdvBn8FnwSvA98C7wIPAR8AHv8O/f78zvuO+k747vee9m71XvRu867zDvJu8a7wru9+7h7snus+6g7pHuhu597nbub+5m7lzuUe5H7j7uN+4y7i7uKO4h7hjuDe4C7fft7O3f7dDtvu2m7Yrtau1L7S7tF+0H7P3s9uzw7Ofs2ezG7K7slex87GfsV+xN7EjsSOxL7E/sU+xX7FrsXexe7F/sX+xf7F/sYOxi7Gfsbex07Hvsg+yK7JHsl+yd7KPsqeyw7LfsvuzE7MnszuzS7NXs2eze7OPs6Ozu7PXs/e0F7RDtG+0o7TXtQe1N7VftX+1m7W3tdO187YbtkO2b7aXtru237b/tx+3O7dbt3e3l7e3t9O387gTuDO4U7hvuIu4o7izuMO407jnuQO5I7lHuWu5j7mvuce537nzugu6K7pPune6o7rLuvO7D7sruz+7U7tnu3+7l7u3u9u8B7wzvGe8l7zDvO+9D70vvU+9c72XvcO9874fvkO+X75vvne+e76Dvo++p77Hvu+/F78/v2O/f7+Xv6+/w7/Xv+u//8APwBvAJ8A3wEfAW8B3wJvAw8DvwRvBS8F3wafB18IHwjvCZ8KPwrPCz8LjwvPC/8MHwxfDK8NDw1/Df8Ofw7fDx8PPw8/Dz8PLw8vDz8PTw9vD58Pzw//EE8QvxFPEe8SrxNvFB8UrxUvFY8V/xZvFv8XfxgfGJ8ZHxl/Gd8aPxrPG48cbx1/Hp8fvyCvIY8iPyLfI28kHyTPJY8mTycPJ88ojylPKh8q/yvvLO8t7y7PL38wDzB/MP8xfzIvMv8z/zUfNj83XzhfOU86HzrvO788fz1PPg8+zz9/QB9Av0FfQf9Cr0NfRB9Ez0VvRg9Gj0b/R29H70h/SQ9Jr0pfSv9Lr0xPTO9Nf04fTs9Pb1APUK9RT1HvUo9TP1P/VM9Vn1Z/V09YD1i/WU9Zz1pfWu9bf1wvXO9dr15fXx9fz2B/YT9h/2LPY69kf2VPZg9mv2d/aD9pD2nvar9rj2xPbP9tn24/bu9vr3CfcY9yb3M/c990T3SvdQ91j3Y/dy94T3mfeu98L30/fj9/D3/PgI+BX4JPg0+Ef4Wvhv+IT4mPis+L74z/jg+PH5BPkZ+TL5Tflp+Yb5oPm2+cf51Pne+ef58foA+hP6KvpE+mD6evqR+qX6tvrE+tH63frr+vn7Cfsa+yv7O/tL+1r7aPt2+4T7kvug+677v/vR++X7+/wT/C78Sfxl/IH8nvy6/Nf88/0Q/Sz9SP1k/X79mP2y/cv95f4A/h7+Pv5i/on+sv7d/wj/Mf9Y/3z/nP+7/9j/9gAUADUAVgB5AJoAugDXAPIBCgEiATkBUgFsAYkBpgHFAeQCAgIfAjsCVwJ0ApECsALRAvUDHANDA2oDjwOxA88D6gQDBB4EOwReBIgEuQTvBSkFZAWeBdcGDQZBBnMGoQbJBukHAAcNBw8HCwcEBwEHBQcWBzIHWAeGB7YH4wgLCC4ISwhlCH4IlgitCMQI1wjlCO0I8QjxCPEI8wj4CQAJBwkKCQUI9gjdCLwIlwh0CFcIQwg5CDUIMQgpCBUH9gfKB5YHYgcyBw8G+wb1BvsHBwcUBxwHHQcZBxAHBwcBBv8HAgcGBwoHCgcEBvkG6wbeBtQGzwbPBtQG2wbgBuIG4QbcBtYG0gbQBtEG1AbXBtkG2AbTBssGwga6BrUGsgayBrQGtAaxBqsGoQaUBoYGeQZvBmcGYwZgBl0GWQZSBkoGQAY1BiwGJQYgBh4GHgYfBiEGIgYkBiUGJgYmBiQGIgYdBhYGDwYHBgAF+wX3BfQF8AXpBd8F0gXCBbEFoAWSBYcFfwV6BXQFbgVoBWEFXAVZBVkFXAVgBWMFYgVcBU8FPAUlBQ0E9wTnBN0E2QTaBN4E4ATgBNoE0ATBBK8EnQSNBH8EdARsBGYEYQRcBFcEUQRKBEQEPgQ6BDcENAQzBDIEMQQvBC0EKwQnBCMEHwQaBBcEFAQTBBMEEgQQBAwEBgP9A/MD6wPlA+MD5gPuA/kEBQQSBB4EKQQyBDsERARNBFQEWwRfBGIEYwRjBGMEYQRgBF8EXgReBF4EYARkBGoEcwR+BIoElwSkBLEEvgTNBNwE7QT/BQ8FHgUrBTYFQgVPBWAFdgWQBa8F0AXyBhMGMAZJBl4GbwZ9BokGkwadBqYGsAa5BsMGzAbWBt8G5wbvBvYG/AcCBwgHDgcWBx4HJwcxBzoHQgdLB1MHXAdlB28HegeGB5MHoAetB7gHwwfOB9gH4wfuB/sIBwgTCB0IJQgrCDAIMwg4CD4IRQhMCFEIUghNCEIIMggfCA4H/wf1B/EH8AfyB/UH+Af7B/4IAwgKCBQIIAgrCDYIPQhDCEYISQhMCFEIVghdCGMIZwhqCG0IbwhzCHgIgAiICJAIlgibCKAIpAiqCLIIvAjICNUI4QjsCPYI/gkFCQwJEgkWCRgJFgkTCQ0JCAkECQUJCwkWCSYJOglRCWsJhgmjCcIJ4Qn+ChkKMApDClEKXApnCnIKgAqRCqUKuQrMCt0K6wr3CwILDAsYCyYLNgtGC1cLZwt1C4ALiAuMC40LiwuGC4ALegt1C3ELbgttC20LbAtsC2sLbAtvC3ULfguJC5QLmwucC5YLiQt3C2MLTws/CzMLKgslCyELHAsXCxMLEAsQCxMLGQshCygLLQswCzALLwsvCzALNQs8C0QLTAtSC1YLVwtYC1oLXgtmC3ALfQuJC5QLnQuiC6YLpwuoC6cLpguiC5sLkQuEC3ULZQtUC0ULOQswCykLJQsjCyALHAsWCwwK/wrvCtwKygq5CqwKogqbCpYKkAqJCoAKdgpsCmQKXwpcClsKWgpXClAKRAo1CiQKEwoDCfUJ6AnbCcsJuQmjCYsJcglaCUQJMAkeCQ8JAQj0COkI4AjaCNUI0AjLCMUIuwiuCJ8Ijwh+CG4IXghNCDsIJggOB/MH1ge4B5sHfgdgB0IHIQb9BtcGsAaKBmgGSgYyBh8GEAYDBfUF5AXQBbkFnwWDBWcFSgUvBRQE+QTgBMcErgSWBH4EZgROBDYEHQQDA+cDyQOqA4gDZAM+AxYC7gLFAp4CegJZAjsCIAIHAe8B1gG9AaMBiQFwAVoBRgE1ASUBFwEGAPIA2wC/AJ8AfABYADMAEP/w/9T/vP+p/5v/kf+I/3//c/9j/03/MP8O/uf+vP6N/ln+IP3i/aD9W/0Y/Nv8qPyB/Gf8VvxK/D78LPwS+/H7y/uk+4H7ZftQ+0L7Nfso+xX6/Pra+rH6gvpQ+hv55fmt+XT5O/kC+M34nfh0+FL4OPgk+BT4Bff09+H3yvew95T3efdh9033P/c29zL3Mfcx9zD3Lfcm9xn3B/bv9tH2r/aH9l32MPYB9dL1pPV49U/1KPUD9OD0vPSZ9HT0TvQo9ATz4vPC86bzjvN482PzUPM88ynzFfMA8uzy2PLE8rLyn/KO8n3ybPJa8kfyM/Id8gbx7vHW8b7xp/GQ8XnxYfFH8SzxD/Dy8NbwvfCo8JjwivCA8HXwavBd8E/wP/Aw8CPwGfAS8A/wDvAQ8BLwFvAY8BrwHPAe8CDwI/Ao8C3wNPA78EHwRvBI8EfwQ/A78DLwJvAa8A7wAu/17+nv3e/Q78LvtO+l75fvh+9372fvV+9J7z3vNO8x7zXvPu9O72LveO+O76HvsO+778Hvw+/D78Pvw+/E78jvzO/Q79Xv2e/c79/v4+/n7+zv8u/47/3wA/AI8AzwEfAY8CHwLfA88E3wX/Bv8H3wiPCM8IzwhfB68GzwXPBN8EDwN/A08DbwPfBG8FDwWPBc8FzwV/BP8EPwNvAo8BnwC+/87+zv3e/N777vsO+i75Xvhu9272PvTu857yTvEe8B7vTu6e7e7tDuv+6q7pPue+5l7lLuRO447i/uJu4c7hHuBe357e/t5+3h7dzt1u3O7cXtu+2y7artpO2g7Zvtle2K7XntYu1I7SztE+z+7O7s4+zc7NXszezC7LTso+yR7H/sb+xi7FfsT+xK7EfsRuxG7EfsSexK7EvsS+xK7ErsSuxM7FDsVexc7GPsaexv7HXseex/7IXsjeyV7J7spuys7LHstey47LrsvezA7MXsyezO7NPs2ezf7Ofs8Oz67QbtEe0c7SXtLu017TztRO1M7VbtYO1r7XXtf+2I7Y/tlu2b7Z/to+2m7antrO2x7bftv+3I7dHt2e3f7ePt5u3o7evt8O337gDuCu4V7h7uJ+4u7jTuOu5C7kvuVu5j7m/ue+6E7ozuku6W7pjum+6f7qPuqe6w7rnuw+7N7tbu3+7m7u7u9u7/7wnvFu8l7zTvQu9O71fvXe9g72LvY+9l72nvbu91737vh++Q75nvou+q77Hvue+/78Tvye/N79Dv1O/Z797v5u/u7/jwBPAQ8BzwKfA28EPwUPBc8GbwbvB08HjwevB78HzwffCB8Ifwj/CZ8KPwrfC28L3ww/DH8Mvwz/DR8NTw1fDV8NTw0/DS8NTw1/De8Obw8fD88QjxE/Ed8SjxMvE88UbxT/FX8V7xZPFp8XDxePGD8ZDxoPGx8cPx1PHj8fLx//IM8hnyJvIz8kDyTPJY8mTycPJ+8o3ynPKs8rvyyfLU8t7y5/Lw8vvzB/MV8yTzNPNE81TzY/Nx83/zjPOa86fzs/O988fzz/PX89/z6PPz9AD0DfQb9Cj0NPQ/9Ej0UfRZ9GL0a/R19H/0iPSQ9Jn0ofSp9LL0vPTG9NH03fTn9PL0/PUG9RH1HPUp9Tf1RPVS9V71avV09X/1ifWU9aD1rPW59cX10fXc9ej18/X/9gr2FvYi9i72OvZF9lL2XvZs9nr2h/aU9qD2qvaz9r72yfbX9ub29/cH9xX3IPcn9yv3Lvcz9zr3RfdU92f3eveO96D3sPe998r31/fm9/X4BvgY+Cv4PfhQ+GL4dPiG+Jn4rfjB+Nf47vkH+SH5O/lV+W35gvmT+aH5rPm3+cX51fnr+gT6IPo9+lj6cfqG+pj6p/q1+sP60vri+vL7A/sT+yL7MftA+0/7Xvts+3v7ifuY+6b7tvvI+9z78/wM/Cb8Qfxb/HT8jvyo/MP84f0A/SD9Qf1g/X79mf2z/cv95P3//hz+Pf5g/of+r/7Z/wH/Kf9P/3P/lP+z/9D/7QAKACgARwBnAIgAqQDIAOUBAAEYATABRwFgAXsBlwG1AdQB8gIPAisCRgJhAn4CnAK9AuIDCQMxA1gDfQOeA7sD1gPxBA4EMARaBIwExgUFBUgFjAXNBgoGQQZzBqAGxwboBwMHFwcjBygHJwckByIHJgcyB0kHageSB74H6QgQCDAISAhbCGgIdAh/CIoIlAicCKEIpAikCKQIpgirCLQIvwjJCM4IyQi5CJsIdAhHCBoH8QfQB7YHoweQB3kHWgcyBwMG0galBoEGbQZoBnEGhAacBrEGwQbLBs0GzAbKBsoGzAbQBtQG1wbWBtAGyAa/BrcGsgayBrUGuwbBBsUGxgbEBr8GuQazBq4GrAarBqsGqganBqIGmwaRBocGfgZ1Bm4GZwZiBl0GWAZSBk0GRwZCBj4GOQY0Bi4GJgYbBhAGBAX4Be8F6QXmBeYF6QXsBe8F8QXyBfIF8QXxBfAF7gXsBegF4wXcBdQFywXCBboFsgWqBaEFlwWLBX4FbwVfBU8FPwUwBSIFFQULBQMFAAUBBQYFDwUZBSEFJQUjBRkFCATyBNkEwgSvBKQEnwShBKYEqgSsBKgEngSOBHsEZwRWBEgEQAQ7BDoEOQQ4BDUEMAQpBCEEGQQTBA4ECwQKBAoECwQMBA4EDgQNBAsEBwQCA/0D+AP1A/MD8wPyA/ED7gPpA+MD3APWA9MD0gPVA9oD4APoA/AD+QQCBA0EGAQkBDAEOgRCBEgETAROBE8EUQRSBFQEVQRWBFcEWARbBF8EZwRwBH0EiwSaBKoEugTLBNwE7QT+BQ4FHQUqBT0FUAVmBYAFnwXBBegGDwY1BlgGdQaMBp0GqQaxBrcGuwa+BsEGxAbFBscGyAbKBs0G0AbWBtwG4wbqBvIG+QcABwcHDQcUBxoHIQcoBy4HNQc9B0UHTgdYB2MHbwd6B4YHkgedB6gHswe/B8oH1gfhB+oH8gf6CAIICggTCB0IJggsCC0IJwgbCAkH8wfeB8sHvwe4B7gHuwfAB8YHygfOB9MH2QfiB+wH+AgCCAsIEAgUCBYIGQgeCCUILwg4CEEIRghKCEsISwhNCFAIVQhcCGMIaQhvCHQIegiBCIsIlwilCLIIvwjJCNEI2AjdCOEI5QjpCOoI6QjmCOAI2gjUCNII1AjcCOgI+QkOCSYJQQlgCYAJownFCeUKAgoaCi0KPApJClQKYQpwCoIKlAqmCrgKxwrUCt8K6gr1CwILEQsgCzELQQtQC1wLZgtsC24LbAtmC18LWQtTC08LTQtNC00LTAtKC0YLQwtDC0YLTwtbC2kLdwuAC4QLgAt2C2kLWgtNC0QLPgs7CzoLOgs7Cz0LQAtGC04LVwtfC2MLYwtdC1QLSQs/CzkLOAs8C0ILSQtPC1ILUgtSC1ILVAtaC2MLbgt6C4ULjguUC5cLmQuZC5gLlQuPC4YLegtsC1sLSws7Cy4LJAscCxgLFAsRCw4LCQsBCvYK6QrZCskKuQqrCp8KlgqPCooKgwp8CnMKaQpgClkKVApSClIKUgpPCkkKPQovCh0KCwn5CegJ2AnHCbUJnwmHCWwJUgk4CSEJDAj6COoI2wjOCMIIuAivCKgIogicCJYIjgiDCHcIaghdCFAIQggzCCEIDAfzB9cHuQeZB3oHWwc9Bx8HAQbhBr8GnQZ7BlsGQAYoBhQGAwXzBeMF0QW9BacFkAV5BWIFTAU1BR8FCQTyBNoEwQSoBI8EdQRcBEIEJwQLA+0DzQOrA4YDYAM5AxAC5wK/ApgCdAJTAjQCGQIAAegB0QG5AaEBiAFvAVcBQAEtAR0BEQEHAQAA+ADwAOMA0gC8AKAAgQBhAEMAKQAWAAoABAACAAD/+//w/97/xf+l/37/Uf8d/uD+mv5L/fX9nf1I/Pz8vfyP/HD8XPxM/Dz8J/wK++j7xPuk+4r7eftv+2j7YPtP+zT7Dfrb+qH6ZPon+ez5tPl/+Uz5Gvjr+L/4l/h2+F34Svg8+DL4J/gZ+Af38PfV97f3mveA92r3W/dR9073T/dR91L3UPdI9zr3JPcH9uX2vPaP9l/2LfX69cj1l/Vo9T31FfTv9Mv0qPSE9GD0PPQX8/Pz0fOy85bzfPNm81DzPPMo8xTzAPLr8tXywPKp8pLye/Jk8kzyNvIg8grx9fHg8crxtPGf8YrxdfFi8VDxPvEs8RnxBPDv8NrwxfCy8KHwkfCD8HbwafBc8E3wP/Ax8CTwGfAP8AfwAO/67/Tv8O/v7+/v8u/37/7wBvAN8BPwF/Aa8BzwHPAc8BrwF/AS8AvwAu/37+vv3u/S78bvue+s75zvie9z71rvQe8n7xDu/O7t7uPu3u7d7uHu6O7y7v/vD+8h7zTvRe9U72DvZ+9r72zvbO9t727vcu9373zvgu+H74vvj++S75bvm++h76fvru+077vvwe/I79Dv2e/k7/Hv/vAL8BjwI/Ar8DDwMfAu8CbwG/AO7//v8u/p7+Pv4u/m7+3v9O/67/7v/u/87/bv7+/m79vvzu+/76/vne+L73rvbO9g71XvTO9A7zLvIO8L7vTu3e7J7rfuqe6c7pDugu5x7l7uSu427iTuFe4H7fvt7u3g7dHtwO2w7aHtlO2K7YHteO1w7WbtXe1V7U/tTO1L7UztTO1J7UHtM+0h7Qzs9uzh7NDswuy47K/sqOyh7JnskeyI7H/sduxt7GTsWuxR7EnsQ+w+7DzsO+w77DzsPOw77DrsO+w87D/sQ+xI7E3sUuxW7FrsXuxj7GnscOx57IHsieyO7JLslOyW7Jfsmuyd7KLsp+ys7LHstuy77MLsyezR7Nns4+zs7PTs/O0E7QztFe0f7SntM+097UbtTu1V7VvtYO1k7Wftau1s7W3tb+1y7Xbtfe2F7Y7tlu2e7aPtpu2o7antq+2w7bbtvu3H7dHt2e3h7ent8O347gDuCu4V7iDuLO427kDuSe5R7lfuXe5i7mbuae5s7m/uc+537n3ug+6K7pLum+6k7q/uu+7J7tju6O737wXvEO8Z7x/vI+8m7ynvLO8x7zfvP+9H71DvWu9k727veO+B74rvku+Z75/vpO+p763vsu+3777vx+/R793v6u/48AbwFPAh8CzwNfA68D3wPfA88DvwOvA88EDwR/BR8FzwaPB08H/wivCU8J3wpfCs8LHws/Cz8LLwr/Cr8KnwqPCq8K7wtfC98Mfw0fDc8Ofw8/D/8QvxFvEg8SrxM/E78UPxTPFX8WPxcPF/8Y3xnPGr8brxyPHX8ebx9fIF8hTyI/Ix8j/yTPJa8mnyd/KF8pPyofKu8rzyyfLX8uXy9PMC8xDzHfMp8zXzQfNO81zza/N684nzlfOg86fzrvOz87nzwPPJ89Tz4fPu8/z0CfQW9CP0MPQ99Er0VvRi9Gz0c/R69H/0hPSJ9JD0mfSj9K70ufTE9M/02vTl9PD0/fUK9Rj1JvUz9UD1TPVY9WT1b/V89Yj1lfWi9a/1u/XH9dP13vXq9fX2APYL9hb2IfYt9jr2SPZW9mX2c/Z/9or2lPad9qj2tPbC9tL24vbx9v33B/cN9xH3Ffca9yP3Lvc890z3XPdr93r3iPeX96f3uPfL99738PgC+BH4IPgu+D34Tfhg+Hb4jfim+MD42/j1+Q75Jfk6+Uz5Wvll+W75ePmE+ZX5rPnK+ev6Dvov+k36Zfp5+on6lvqk+rT6xfrX+un6+fsI+xb7I/sw+z/7Tvtf+3D7gPuQ+6D7sPvB+9b77fwH/CL8PfxX/HD8ifyi/Lz82fz4/Rn9O/1b/Xn9lf2u/cf94P38/hr+PP5g/ob+rf7T/vr/H/9D/2f/iP+o/8f/5AAAAB0AOgBYAHcAlgC1ANMA7wEIASABNwFPAWcBggGfAb4B3QH8AhoCNwJUAnECkAKwAtEC9AMYAzwDXwOBA6QDxgPrBBMEQARzBKsE6AUpBWsFrAXoBh4GTQZ1BpUGsAbHBtsG7Ab6BwcHEgccBycHMwdDB1gHdAeVB7gH2wf7CBQIJggxCDcIOgg+CEQITAhVCF0IYQhiCF8IXAhbCF4IZwh1CIIIigiGCHMITwgbB90HnAddByYG+gbWBrkGngaCBmIGQAYgBgQF8wXuBfUGBwYfBjgGTgZeBmcGagZpBmgGZwZpBm4GdAZ7BoEGhgaJBosGjAaOBo8GkQaSBpIGkAaLBoUGfQZ1Bm4GaQZlBmMGYwZjBmIGXwZaBlIGSQY/BjUGLQYmBiIGIAYeBhwGGgYXBhMGDgYIBgEF+QXxBegF3wXXBc8FyAXDBcAFvQW6BbcFswWvBasFqQWoBagFqgWsBa0FqwWlBZ0FkQWFBXkFbwVnBWEFXQVYBVAFRQU3BSUFEgT9BOkE2ATLBMEEvAS7BL4EwwTKBNAE1ATTBM4EwgSyBJ8EiwR6BG0EZgRkBGUEaARpBGYEXwRTBEUENwQqBCIEHQQcBBwEGwQaBBYEEAQJBAID/AP3A/QD8gPwA+8D7gPuA+0D7APqA+gD5APfA9oD1QPRA88DzgPPA9AD0QPSA9EDzwPMA8oDyAPIA8kDywPOA9ID2APhA+sD9gQDBA8EGgQjBCkELgQyBDYEOwRBBEYETARRBFQEVgRYBFsEYQRqBHUEhASUBKQEtQTGBNcE6AT4BQkFGgUrBUgFZAWDBaUFygXyBhoGQgZnBocGoga2BsQGzgbUBtgG3AbfBuEG4gbhBt4G2gbWBtMG0QbQBtIG1QbYBtwG3wbiBuYG6QbuBvMG+gcCBwsHFAceBygHMwc+B0oHVgdiB20HeAeCB4wHlQefB6kHswe+B8kH1AfgB+sH9wgBCAkIDQgMCAUH+AflB88HuQemB5gHkQeQB5MHmQefB6QHqQetB7EHuAfAB8oH0wfbB+AH4gfkB+YH6gfyB/wICAgTCBsIIAgiCCEIIAggCCMIKAgvCDYIPAhBCEYITQhVCGAIbgh9CIwImAiiCKgIrAiwCLUIuwjBCMUIxwjFCL8ItQirCKMInwihCKkIuAjLCOMI/QkbCTsJXQmACaMJxQnkCf8KFgopCjkKRwpUCmIKcAp+CowKmQqmCrMKwArOCt0K7Ar9Cw4LHwsuCzwLRwtOC1ELTwtKC0MLPQs3CzQLNAs1CzYLNgs0CzALLAsqCy0LNgtEC1ULaAt4C4MLhguEC3wLcgtpC2MLYQtjC2gLcAt6C4YLkgufC6sLtQu5C7gLrwuhC48LfQttC2MLXwthC2YLbAtvC28LbAtmC2ELXgteC2ILaAtxC3kLfwuFC4gLiguKC4gLhAt8C3ALYAtOCzsLKgsaCw8LCAsECwILAgsBCv8K+grzCuoK3QrPCsAKsAqhCpMKhwp9CnQKbAplCl0KVgpQCksKSQpICkcKRwpECj0KMwolChUKAwnvCdwJyAmzCZ0JhQlrCVEJNwkdCQUI7wjaCMYIswihCJEIhAh5CHIIbQhqCGcIYwhdCFMISAg6CCwIHAgLB/gH4wfLB7EHlQd4B1oHPQcgBwQG6AbMBrAGlQZ8BmYGUwZCBjQGJwYZBgoF+AXlBc8FuAWgBYgFcAVYBUAFJwUPBPcE3wTHBK8ElwR+BGMERQQlBAID3AO0A4sDYgM4Aw8C5gK/ApkCdQJUAjUCGgICAewB2AHEAbABmgGEAWwBVAE/AS0BIQEbARwBIQEoAS8BMQEtASABDADzANcAvgCpAJkAjwCJAIIAewBvAF4ARwAsAAz/5f+2/33/N/7k/of+Jv3F/W39Ifzm/Ln8l/x6/F78PfwZ+/P70Puz+5/7lfuS+477hvtx+077Hfrg+pz6V/oW+dv5pvl3+Uz5I/j9+Nj4t/ib+IX4dfhr+GT4XfhU+Ej4N/gh+Aj37ffT97z3qved95T3j/eK94X3ffdv91r3Pvcc9vT2yfaa9mn2N/YE9dL1oPVw9UL1F/Tv9Mn0pvSF9Gb0R/Qp9A3z8fPW87zzpPON83jzY/NQ8z3zKvMW8wHy6fLP8rHykfJw8lDyMvIX8gHx7fHc8czxu/Gq8Zjxh/F38WjxXPFR8UbxO/Eu8R/xDvD88Orw2PDH8LfwqPCb8I/whfB78HHwZvBa8EzwO/Ap8BbwBO/07+nv5O/i7+Tv5u/n7+bv4e/Z79Hvye/D77/vve+777nvte+v76bvne+T74nvf+9072fvVe9A7ybvC+7w7tnux+677rXus+607rfuue687sDuxu7Q7tzu6u747wTvDO8Q7xDvDu8L7wvvDe8S7xrvIu8r7zLvN+8870DvRe9L71PvW+9k723vd++A74nvku+c76bvsO+678Tvzu/W793v4u/k7+Pv3e/T78bvuO+q757vlu+S75Lvle+a757voO+h76Hvnu+a75TvjO+A73HvXu9L7zfvJe8V7wnu/+717uru3O7K7rfuou6O7n3ube5g7lTuR+457inuGO4F7fTt4+3U7cbtt+2p7ZntiO127WXtVO1F7TbtKO0a7Q7tA+z77Pbs9Oz07PXs9uz17PDs6Ozc7M/sweyz7KfsnOyR7Ifsfexz7GrsY+xe7FvsWexX7FTsUOxL7EXsP+w67DbsNOwz7DLsMewv7C7sLewt7C7sMOwy7DXsOOw67DzsP+xC7EfsTuxV7FzsYuxm7Gnsa+xs7G/scux37Hzsg+yJ7I7sk+yY7Jzsoeyn7K3ss+y67MHsyezR7Nrs5Ozv7PrtA+0L7RHtFu0Z7RztH+0k7SntL+007TjtPO0/7ULtRu1M7VLtWu1g7Wbtau1t7W7tb+1w7XLtdu177YLtie2Q7ZjtoO2n7a/tt+3A7cjt0e3b7ebt8u4A7g3uGe4j7iruLu4v7i/uL+4v7jLuN+4+7kfuT+5Y7l/uZ+5v7njug+6Q7p3uq+657sTuzu7W7t3u4u7o7u7u9u7+7wjvEu8d7ynvNe9B707vWe9l727vdu9874Dvg++G74rvj++W76Dvre+778vv2u/o7/Tv/fAE8AbwB/AG8ATwA/AD8AXwCvAR8BvwJfAx8D3wSvBW8GLwbfB38H/whfCI8IrwifCH8IbwhfCF8IbwifCN8JLwmPCf8KfwsfC88Mnw1/Dl8PPxAPEM8RjxI/Eu8TnxRPFP8VvxaPF08YLxkPGf8a/xwPHS8ePx9PIF8hXyJfIz8kLyUPJe8m3yfPKM8pzyrfK+8s/y3vLs8vnzBPMO8xjzJPMx8z/zTvNd82rzdvN/84fzjPOS85jzoPOp87PzvvPK89bz4vPv8/30DfQd9C30PfRK9FT0XPRh9GX0afRt9HP0e/SE9I70mfSj9K30uPTD9ND03fTr9Pr1CPUW9SP1L/U79Uj1VPVi9W/1ffWL9Zj1pfWx9b31yPXS9dz15vXv9fn2BPYQ9h32LPY79kv2WvZn9nP2fvaJ9pT2oPat9rv2yPbU9t725/bu9vb2/vcI9xT3Ifcu9zv3R/dS9173a/d694z3oPe098j32ffn9/P3/vgK+Bn4K/hB+Fr4c/iO+Kj4wvjc+PT5DPkg+TH5PvlH+U35U/lc+Wz5g/mj+cj57/oU+jT6Tfpg+m76evqI+pf6qvq/+tT65/r4+wb7E/sg+y/7QPtU+2j7fPuO+5/7r/u/+9L75/wA/Br8NvxS/G38hvyg/Lr81fzz/RH9MP1O/Wv9hf2e/bf90v3w/hH+Nv5d/oX+rf7T/vn/Hf9B/2P/hP+j/8H/3f/4ABMALQBJAGUAgwChAL4A2gD0AQ0BJAE7AVQBbgGKAagBxwHnAgcCJwJGAmYChQKlAsUC5QMHAysDUAN5A6UD1AQFBDgEbQSjBNkFEAVGBXwFsAXhBg4GNAZTBmsGfgaNBpsGqga6Bs0G4Ab0BwcHGQcsB0AHVwdyB48HrQfIB98H7wf4B/wH/Qf/CAQIDAgWCB8IJAgjCB4IFQgOCAwIEwghCDQIRQhLCEAIHwfnB54HSgb1BqcGaAY4BhgGAgXyBeMF0wXCBbEFpAWeBaAFqgW7Bc4F4gXyBf0GAgYDBgEF/wX/BgIGCAYRBhwGKAYyBjoGPwZCBkIGQAY9BjkGNQYwBiwGJwYhBhwGFwYUBhIGEwYUBhcGGgYbBhoGFgYQBgoGAwX+BfkF9gX0BfEF7QXoBeEF2gXSBcwFxgXBBb0FuQW1Ba8FqAWhBZkFkQWIBX8FdgVuBWYFYAVcBVsFXAVeBWAFXwVbBVQFSQU8BTAFJgUfBRsFGQUXBRQFDQUCBPQE4gTRBMAEsQSmBJ0ElwSSBI4EjASKBIgEhwSFBIEEewRxBGUEVwRKBD4ENgQxBC8ELwQvBC4EKQQjBBoEEgQLBAUEAgQAA/4D+wP2A/AD6QPjA94D2wPaA9kD2QPYA9YD0wPPA8wDygPIA8cDxQPCA74DugO1A7IDsAOwA7EDswO1A7YDtwO3A7cDtwO3A7cDuAO7A74DwwPKA9MD3QPnA/ID+wQEBAoEEAQWBBwEJAQtBDYEPwRGBEwEUARUBFgEXgRnBHMEgASQBJ8ErwS+BM0E3QTuBQEFFgUuBVcFegWgBcYF7QYUBjoGXwaABp0GtAbFBtIG2wbhBuUG6gbuBvIG9Qb2BvUG8wbuBukG5AbeBtkG1QbQBswGyAbFBsQGxAbIBs4G1wbiBu8G/AcJBxcHJAcwBz0HSQdUB18HaQdyB3sHgweNB5gHpAexB78HzQfaB+YH7gfyB/EH7AfhB9IHvwesB5sHjQeFB4EHgweHB4wHkAeTB5MHkweUB5YHmweiB6kHsAe1B7gHuQe6B70HwgfLB9YH4QfqB/EH8wfzB/IH8gf1B/sIAggKCBIIFwgbCB4IIwgrCDYIRQhVCGMIbwh3CHwIfwiECIsIkwidCKQIpgiiCJYIhQhzCGMIWwhcCGgIfQiYCLcI1wj1CRMJMAlNCWsJiwmqCckJ5gn/ChUKJwo2CkIKTApXCmEKbAp5CoYKlAqkCrQKxQrWCucK+QsJCxgLIwsrCy4LLQsoCyILGwsXCxULFgsaCx8LIgslCyYLJwspCy4LOAtHC1oLbguAC44LlwuaC5gLlAuPC40LjguTC5wLqAu2C8YL1gvkC/EL+Av6C/QL6QvZC8gLuAusC6ULowulC6gLqQunC6ALlguKC4ALeAt0C3MLdQt3C3oLewt7C3sLegt4C3QLbgtkC1ULQgssCxYLAQrwCuQK3QrbCtsK3QrgCuEK4ArdCtkK0grICrwKrgqeCo0KfApsCl0KUQpHCkAKOwo4CjcKNwo3CjgKNwo0Ci4KJAoXCgcJ9AnfCcgJsAmXCX0JYglICS0JEwj5COAIxwivCJYIfghoCFUIRwg9CDkIOQg7CD0IPAg3CC4IIAgNB/kH5AfPB7sHpweUB4EHbQdYB0IHKgcRBvYG2wbABqYGjwZ6BmcGWQZMBkEGNgYrBh4GEAX/Be0F2AXCBaoFkAV2BVkFPQUiBQcE7gTXBMAEqQSQBHQEVQQyBAwD5AO6A5ADZgM9AxQC6wLEAp4CeQJXAjkCHgIHAfQB4wHUAcUBtQGkAZIBfwFtAV4BVAFQAVMBXAFnAXMBewF8AXUBZgFQATYBGgEBAOoA1gDFALQAowCRAH4AagBWAEEAKQAJ/+D/qf9j/xH+tf5V/fr9p/1g/SX89PzI/J/8dfxL/CL7/fvf+8r7vfu1+6v7m/uA+1n7Jvrq+qr6bPox+f35z/ml+X35V/kx+Q346/jN+LX4pPiY+JL4jviL+If4f/h0+GX4U/g/+Cr4F/gE9/T35ffW98f3tPee94L3Yvc89xP25va59or2WvYq9fn1x/WW9WX1NfUJ9N/0uvSY9Hr0XvRF9C70F/QB8+vz1vPB863zm/OL83vzbPNc80jzMPMT8vHyzPKl8oHyYfJH8jPyJPIY8gzyAPHx8eHx0PHB8bTxqvGi8Z3xl/GP8YbxefFr8VvxS/E88S7xIvEX8QzxAvD58O7w4fDR8L7wpvCK8GvwTPAt8BPv/u/u7+Hv1+/L773vq++X74Pvce9k71zvWO9Y71jvWO9V71DvSe9C7zzvN+8y7yvvIu8U7wHu7O7W7sLus+6q7qXupO6l7qXuo+6g7p3um+6c7qHuqO6w7rbuuu647rPure6m7qPupO6q7rTuv+7K7tTu2+7h7uXu6u7w7vfvAe8M7xnvJu8z70DvTO9Y72PvbO9173zvgu+H74zvku+V75fvl++S74nvfe9w72LvVu9N70jvRu9H70jvSu9L70vvS+9K70fvQ+887zHvI+8R7v7u6e7V7sTute6n7pvuj+6C7nTuZe5W7kjuOu4u7iHuFO4F7fTt4e3N7bjtpe2T7YPtde1p7V7tUu1G7TftJ+0V7QHs7ezZ7Mjsuuyw7KrsqOyn7KfspOyf7Jjsj+yF7H3sd+xz7HDsbOxm7F3sUexD7DXsKOwg7BvsG+we7CPsKOws7C/sMOwv7C7sLOwq7CfsI+wg7BzsGewX7BbsFuwX7BjsGewa7BrsG+wd7CHsJewq7C/sNOw47DvsPuxB7EXsSuxQ7FbsXOxi7Gbsauxt7HHsdOx47H3sgeyG7Izsk+yb7KTsr+y67MTszezT7Nbs1+zX7Nfs2eze7OXs7ez27P/tBe0K7Q3tEO0T7RftHe0i7SjtLe0x7TPtM+0z7TPtM+017TjtPe1D7UvtU+1c7WTta+1x7Xftfu2F7Y7tmu2o7bftx+3V7eDt6O3s7e7t7+3w7fTt++4D7gvuFO4a7h7uIO4h7iPuJ+4t7jfuQu5Q7l3uae517n/uh+6Q7pnuo+6t7rnuxe7R7t3u6u737wXvE+8h7y7vOu9D70rvT+9T71bvWu9h72rvde+C75Lvoe+v77zvx+/P79Tv1+/Y79jv1+/X79nv2+/f7+Tv6+/07/3wCPAU8CHwLfA58ETwTfBV8FvwX/Bi8GTwZvBo8Grwa/Bs8GzwbfBv8HLwePCB8IzwmvCq8Lrwy/Da8Onw9fEB8QzxFvEg8SrxNfFB8U/xXfFt8X7xkPGj8bbxyPHa8ezx/fIN8h3yLfI98k7yX/Jw8oLyk/Kk8rPywvLO8tvy5vLy8v7zC/MZ8yfzNfNB80zzVfNc82Tza/N0837ziPOT857zqPOy87vzxPPP89zz6vP69Ar0GvQn9DL0O/RB9Ef0TfRT9Fv0Y/Rr9HP0e/SD9Iz0lfSg9K30u/TJ9Nj05/T19QL1DvUb9Sn1N/VF9VX1ZPVz9YH1j/Wb9af1svW89cT1zfXV9d716PXz9gD2DvYe9i72PfZL9ln2ZvZy9n/2i/aY9qT2r/a59sL2yvbU9t/27Pb79wr3GPck9y73N/dA90n3Vfdk93X3iPeZ96n3tffA98r31vfl9/j4D/go+EH4Wfhx+If4nvi4+NT48vkQ+Sr5PflJ+U75T/lR+Vj5aPmC+aX5zPnz+hX6L/pB+k36V/pi+nH6hfqc+rb6zvrj+vX7BPsT+yP7NvtM+2P7evuP+6L7svvA+9D74fv2/A78KPxE/GD8e/yW/LH8zPzp/Qb9I/0//Vr9dP2N/af9wv3h/gL+KP5P/nj+of7I/u7/Ev81/1f/d/+V/7L/zv/pAAIAHAA3AFIAbgCLAKcAwwDdAPYBDgEnAUEBXAF4AZUBswHSAfECEQIxAlICcwKVArkC3QMEAy8DXgORA8gEAgQ9BHUEqgTbBQYFLwVVBXoFoAXGBesGCwYnBjwGTAZYBmQGcQaBBpUGqwbCBtcG6Qb6BwsHHQczB0wHaAeFB54HsQe9B8MHxQfFB8YHyQfPB9QH1gfVB9AHyAfDB8QHzQfdB/IIAwgIB/sH1geaB0oG8AaWBkUGBAXWBboFrAWlBaAFmgWQBYMFdgVtBWgFagVzBYEFkQWhBbAFvAXEBcoFzQXOBdAF0gXUBdgF3AXfBeIF5AXjBeIF3wXcBdoF2QXaBdwF3gXeBd4F3AXZBdYF1QXVBdgF3AXgBeIF5AXjBeAF3AXYBdQF0QXOBcoFxQW+BbYFrQWlBZ0FmAWTBZAFjAWIBYEFeQVxBWcFXgVWBU4FRwU/BTYFLQUlBR4FGAUVBRIFEAUNBQgFAQT5BPEE6QTiBN4E2wTYBNQEzgTFBLsErwSjBJkEkASJBIMEfQR3BG8EZgReBFYEUQRMBEgERAQ/BDcELgQlBBwEFAQQBA0EDAQMBAoEBwQBA/sD9APuA+gD4wPeA9kD0gPLA8MDvAO2A7MDswO0A7UDtgO1A7MDsAOsA6oDqQOpA6sDrAOsA6oDpwOiA50DmQOWA5UDlQOWA5cDmAOaA5sDngOgA6MDpwOrA68DtAO5A78DxgPPA9cD4APpA/ED+QQBBAoEEwQdBCcEMQQ5BEAERgRMBFMEWwRlBHEEfwSNBJsEqQS2BMQE1QToBP4FGQU3BWUFiwWxBdgF/gYjBkcGaQaHBqIGtwbGBtAG1gbYBtkG2QbaBtwG3wbhBuQG5AbjBuAG2wbVBs0GxQa8BrQGrAamBqMGpAaoBrAGuwbJBtgG5wb2BwQHEQcdBygHMgc8B0YHUAdaB2UHcQd9B4wHmwerB7oHxwfRB9YH1gfQB8QHtAeiB48HfgdyB2sHagdvB3cHgAeHB4sHiweHB4EHewd3B3cHegd/B4YHiwePB5IHkweVB5kHoAepB7IHuwfAB8MHwwfCB8IHxQfLB9UH3wfoB+8H8gf0B/UH+QgACAsIGggqCDgIQghKCE8IVAhaCGQIbwh5CH4IewhuCFgIPAghCA0IBggQCCkITwh8CKsI1Qj4CRQJKQk8CU4JYwl7CZYJswnOCecJ/AoNChoKJQouCjgKQQpNClkKZgp0CoIKkgqiCrMKxArVCuQK8Qr6Cv8K/wr8CvcK8gruCu0K8Ar2Cv4LBwsQCxkLIgsrCzULQgtSC2QLeAuLC5wLqgu0C7sLvgvAC8ALwAvBC8QLyQvPC9gL4QvqC/ML+Av5C/cL8QvqC+QL4QvgC+ML5wvqC+oL5AvaC8sLvAutC6ILnAuZC5gLmAuVC48Lhgt8C3ILaQthC1sLUwtICzgLIwsLCvAK1wrBCrEKpgqiCqEKowqlCqkKrAqwCrQKtwq4CrYKsAqmCpYKgwpuClgKRAo0CicKHwobChkKGgobChwKGwoYChMKCQn8CewJ1wm/CaQJhwlpCUsJLQkQCPQI2Qi/CKYIjAh0CFsIRAgwCCAIFQgPCA4IEAgTCBQIEggLB/4H6wfVB7wHpAeOB3sHbAdeB1MHRwc5BycHEgb5Bt0GvwahBoMGZwZPBjkGJgYVBgYF+AXrBeAF1QXLBcEFtgWpBZoFhgVvBVUFOQUdBQEE5wTOBLYEnQSEBGcERwQlBAAD2wO1A48DaQNDAx0C9gLQAqoChwJmAkgCLgIYAgUB9QHmAdgBygG8Aa4BoQGWAYwBhgGCAYIBggGDAYIBfgF0AWUBUQE4ARwA/wDiAMcArACSAHkAYABIADMAIQATAAf//P/t/9f/tP+D/0T++f6n/lL+Af22/XX9PP0K/N38tPyM/Gf8Rfwo/A/7+Pvj+8z7sPuP+2f7O/sL+tz6rfqB+lf6LvoE+dj5q/l9+VD5JvkA+OH4yvi4+K34pvii+J/4nfiZ+JP4ivh/+HH4YfhP+D34K/gZ+Ab38vfb98L3o/eB91r3MPcD9tP2ovZv9jz2CPXT9Z/1bPU69Qv03vS19I/0bPRM9DD0FvP+8+jz1PPC87PzpfOa84/zhfN482nzVvM98yHzA/Ll8srys/Ki8pXyi/KC8nbyaPJW8kPyL/Ie8hDyBfH+8fjx8vHs8eTx2/HS8crxw/G98bbxrvGk8ZXxhPFw8VrxRPEt8RTw+fDc8LzwmfB18FPwM/AW7/3v5e/N77Tvme9871/vRe8w7yDvFu8R7w3vCe8D7vzu8+7s7ubu5O7k7ubu5u7i7truz+7B7rLupu6d7pjule6U7pHuje6I7oHufO557njuee567nnudO5s7mDuU+5J7kLuQu5H7lLuXu5r7nXufe6C7obuie6N7pPunO6n7rTuw+7T7uTu9O8E7xLvHu8m7yzvMO8z7zXvOO8870DvQ+9E70HvO+8x7yXvGe8P7wfvAu7/7v7u/u797v3u/O767vnu+O727vLu6+7f7tHuv+6r7pbug+5x7mHuU+5G7jruLu4h7hXuCe387e7t4O3Q7b7tqu2U7X7tZ+1S7UDtMe0m7R7tF+0Q7Qfs+uzp7NTsveym7JDsf+xy7GvsZ+xl7GDsWexO7EDsMewl7BzsGewb7CDsJewn7CTsG+wM6/vr6uvb69Pr0OvU693r6Ov06//sCOwO7BLsE+wS7A/sC+wG7AHr/uv76/rr+uv66/vr/Ov86/vr++v76/3r/+wC7AbsCuwN7BDsFOwX7BzsIewm7CvsL+wz7DbsOOw67D3sQexF7ErsTuxT7FfsXOxj7Grsc+x97IbsjuyU7Jfsl+yW7Jbsl+yb7KHsqeyz7LzsxOzJ7M7s0ezU7Njs3Ozi7Ojs7ezy7PXs9+z37Pfs+Oz57Pvs/+0F7Q3tFe0e7SftLu007TntPO1A7UXtS+1U7WDtbO167Ybtke2Z7aDtpu2s7bPtvO3G7dDt2e3f7ePt5e3l7eXt5+3q7e/t9+4A7gnuE+4b7iTuLO417j/uSu5W7mPucO597onulu6i7rDuvu7N7tzu6+747wTvDu8X7x7vJe8t7zXvQO9M71nvZ+9274TvkO+c76XvrO+x77Xvt++477nvue+577rvvO/A78bvze/X7+Lv7+/88AjwFPAf8CjwMfA48D7wRPBI8EzwT/BP8E/wTfBL8EvwTPBR8FnwZfBz8IPwlPCl8LTwwvDO8Nrw5PDu8PjxBPER8R/xL/FB8VTxZ/F78Y7xofG08cbx1/Hp8fryDPIf8jLyRPJX8mfyd/KF8pLyn/Kr8rfyxPLT8uPy8vMC8w/zG/Ml8yzzM/M680LzTPNY82XzcvN/84rzk/Oa86HzqfOx87zzyfPX8+Xz8/QA9Av0FPQd9Cb0LvQ39ED0SPRQ9Fb0XPRi9Gn0cfR89In0l/Sm9LX0xPTS9OD07fT79Qr1GvUq9Tr1SvVa9Wr1ePWG9ZP1n/Wr9bX1vvXH9dD12vXl9fH1/vYM9hr2J/Y19kL2T/Zc9mr2ePaG9pP2nvao9rL2u/bG9tL24Pbu9vz3CfcU9xz3JPcs9zX3QfdP91/3bvd794X3jfeW96H3sPfE9933+fgU+Cv4P/hQ+GH4dviR+LT43vkK+TL5Ufli+Wb5YflZ+VX5W/lu+Y75t/nh+gb6Ivo0+jz6QPpF+k/6X/p3+pP6sPrK+uD68/sE+xX7Kfs/+1j7cvuK+5/7sfvA+8773Pvt/AH8Gfwy/E38aPyD/J78uvzW/PP9EP0u/Uv9Zv2B/Zz9t/3T/fH+Ef40/lj+fP6g/sT+5/8J/yv/Tf9t/43/rP/K/+cABAAgADwAVwByAIwApQC+ANgA8gENASoBSAFmAYQBogG/AdsB+QIXAjcCWgKAAqkC1gMHAzwDdgO0A/QENARxBKkE2QUBBSIFPQVXBXIFjgWrBckF5QX9BhAGHwYrBjcGRwZbBnMGjQanBr0GzwbcBucG8Qb/BxEHKAdCB1sHcAd/B4YHhweEB34HeQd2B3QHcgdxB3EHcwd4B4MHkwemB7cHvwe4B54HbgcrBtwGiQY8BfwFzQWwBaEFmwWYBZMFiQV6BWgFVgVGBTwFOQU9BUYFVAVmBXoFjwWiBbQFwgXLBdAFzwXLBcMFuwWyBaoFowWeBZoFmAWYBZoFngWlBa0FtAW6Bb0FvQW6BbYFsQWuBa0FrgWwBbMFtQW1BbQFsgWwBa0FrAWrBakFpgWiBZwFlAWMBYQFfQV1BW0FZAVaBU4FQQU1BSsFIwUeBRwFGgUXBREFCQT+BPEE5QTaBNIEzATIBMYEwwTABLwEtwSxBKsEpgSgBJoEkwSLBIIEeQRxBGoEZQRgBFsEVgRQBEgEQAQ4BDAEKgQlBCEEHQQYBBMEDAQFA/8D+gP2A/QD8wPyA+4D6QPiA9oD0gPKA8MDvQO3A7ADqQOhA5kDkgONA4oDigOLA4wDjQOMA4sDiAOGA4YDhwOJA4wDjgOPA44DigOGA4EDfQN6A3gDeAN5A3oDfAN/A4IDhgOLA5EDlwOdA6IDpgOqA64DswO6A8IDzAPXA+ID7gP4BAMEDAQVBB4EJgQuBDUEPQREBE0EVwRiBG8EfASIBJUEogSvBL4E0ATmBQAFHgVABWEFhwWtBdMF+AYcBj4GXwZ9BpcGqwa4Br8GwAa8BrUGrQanBqMGogaiBqQGpganBqcGpQahBpwGlwaSBo4GigaJBooGjgaUBp4Gqga4BscG1QbjBvAG/AcGBw8HFwcgBykHNAdAB04HXQdtB34HjgeeB6sHtAe4B7cHrwehB48HegdlB1MHRgc/B0EHSAdUB2IHbQd0B3YHcgdqB2EHWQdUB1MHVgdbB2EHZgdqB2wHbgdyB3cHfweHB48HlAeXB5YHlAeSB5IHlgeeB6gHsge6B78HwQfBB8MHxwfPB9wH7Af7CAoIFAgcCCMIKwg1CEEITghWCFcITQg2CBYH8wfVB8MHxQfcCAYIPgh8CLcI6AkNCSQJMAk4CT8JSQlZCW8JhwmgCbgJzAncCekJ9An+CgcKEQobCiUKLwo6CkUKUQpeCm0KfgqPCqEKsAq9CscKzArOCs4KzArKCsoKzQrSCtsK5gryCwALDgsdCywLPAtNC2ALdQuLC6ELuAvMC90L6QvwC/AL6wviC9cLywvDC70LvAu+C8ILyAvNC9IL2AvfC+oL9wwHDBcMIwwqDCkMHwwOC/sL6AvZC9ALzQvOC9ALzQvFC7ULoAuIC3ELXQtNC0ILOAssCxwLBwrsCs8KsQqWCoAKcApnCmIKYQpiCmUKawpzCn8KjAqbCqcKrgqvCqgKmAqBCmcKSwowChoKCAn9CfYJ8wnyCfIJ8gnwCesJ4wnWCcQJrgmTCXYJVQk0CRMI8wjUCLcInAiDCGsIVQhACC0IHAgPCAQH/Qf5B/YH9AfwB+oH4QfTB8IHrgeYB4MHbwddB04HQgc3BysHHgcMBvcG3Aa9BpwGeQZWBjYGGAX+BeYF0AW7BacFlQWEBXcFbwVqBWgFaAVmBWIFWQVLBTcFHwUFBOoE0AS3BJ8EhgRsBFAEMQQRA/ADzgOtA4wDawNJAygDBgLkAsMCpAKIAm8CWAJDAi0CGAIBAesB1gHCAbEBpAGZAZEBiQGAAXUBaAFXAUQBLgEWAPwA4wDIAK4AlAB6AGAARQAqAA//9f/d/8f/tv+q/6H/m/+T/4f/cv9S/yb+7v6s/mT+Gv3U/ZL9Wf0p/QD83/zE/Kv8lPx8/GP8R/wn/AX74Pu7+5f7dvtX+zr7HvsA+t76tvqH+lL6Gfng+aj5dPlG+R/4/vji+Mr4tvim+Jn4jviH+IH4e/h1+G34Y/hY+Ez4Qfg3+C/4J/ge+BP4Avfs9833pvd490T3DPbS9pj2X/Yo9fL1vvWK9Vb1IvTt9Lj0hvRW9Cz0BvPo88/zu/Os86Hzl/OP84fzfvN082nzXPNP80HzNPMq8yHzHPMX8xLzCvL+8u3y1/K/8qbyj/J78mzyYfJX8k7yRPI58i7yJPId8hvyHfIh8iLyHvIS8f3x3/G88ZbxcvFS8TfxIPEK8PPw2vC98J7wffBc8D3wH/AB7+Pvw++j74LvYu9F7y3vGe8J7vzu7u7g7tHuwe607qrupe6k7qjurO6v7rDure6m7p3ulO6L7oTuf+567nXub+5p7mLuXO5X7lTuUe5N7kbuO+4t7hvuCu377fLt7+3z7f3uCe4W7iHuKe4v7jLuNO437jvuQe5J7lPuX+5u7n7uke6k7rfuyO7V7t/u5e7o7unu6u7t7vDu9O747vju9u7w7ubu2+7P7sXuve647rXus+6x7q/ure6r7qvuq+6s7qzuq+6n7p/uk+6D7m/uW+5H7jTuI+4U7gbt+e3r7d3tz+3A7bLto+2U7YXtdO1h7U3tN+0h7Qzs+ezq7N/s1uzQ7Mjsv+yx7J/siexy7F3sSuw87DHsKuwj7BrsDev76+fr0eu/67Lrreuw67jrw+vM69Hrz+vH67rrquub64/rieuJ647rmOuk67HrvevI69Hr2Ovc697r3+vf6+Dr4Ovh6+Pr5evn6+jr6Ovo6+br5Ovi6+Lr4uvj6+Xr5+vo6+rr7Ovu6/Dr8+v16/jr+uv76/3r/uwB7AXsCuwP7BXsGuwe7CHsJOwn7CzsMew47EDsR+xO7FPsVuxY7FnsW+xe7GLsZ+xt7HTseex/7ITsiOyN7JPsmeyg7KbsrOyw7LTstuy57LvsvezB7MXsyezP7Nbs3ezl7O3s9ez77QDtA+0F7QftCe0M7RHtGO0h7SvtNu1B7UrtVO1d7Wftce177YbtkO2a7aLtqe2w7bXtu+3A7cbtzO3R7dXt2e3c7d/t4+3o7fDt+e4E7hDuHe4p7jbuQu5O7lruaO537oful+6o7rnuyO7W7uPu7e737wHvCu8U7yDvLe8770rvWe9o73bvgu+M75Tvmu+d75/vn++e75zvm++b75zvoO+m767vuO/E79Dv3e/o7/Pv/PAF8A3wFPAb8CHwJvAq8CzwLPAr8CnwKfAr8C/wNvBB8E/wXvBu8H3wjPCa8KbwsvC98Mnw1vDk8PPxBfEX8SvxQPFU8WnxfPGP8aLxtPHG8djx7PH/8hPyJvI58knyV/Jk8m/yevKG8pPyofKx8sLy0vLh8u7y+fMB8wjzD/MY8yHzLfM680jzVPNg82nzcfN3837zhvOQ85vzqPO188Pzz/Pa8+Tz7vP39AH0CvQU9B30JvQt9DP0OfQ/9Ef0UfRd9Gr0efSJ9Jj0p/S29MT00/Tj9PP1A/UT9SP1M/VD9VL1YvVy9YL1kfWg9a31ufXF9dD12vXm9fH1/fYI9hP2HvYo9jP2P/ZM9lv2avZ69oj2lfag9qr2tPa99sj20/bf9ur29Pb89wT3DPcV9yD3Lvc990z3WPdi92j3bvd294L3lPet98v36fgF+Br4Kvg2+EP4Vvh0+J340PkG+Tf5W/lv+XH5ZvlW+Uz5T/lj+Yj5uPnr+hj6OPpI+kv6Rfo++jz6RPpV+m/6jPqq+sT62vrt+v/7Evso+0H7XPt3+5D7pfu3+8f71vvl+/j8Dfwj/Dz8Vfxt/Ib8nvy4/NT88f0Q/S/9Tv1t/Yr9pv3A/dv99f4P/iv+R/5l/oT+pP7F/uj/DP8x/1X/ev+e/8H/4gABAB4AOQBTAGsAggCaALQA0ADtAQ0BLgFPAW8BjgGqAcYB4gH/Ah8CQwJsApsCzwMIA0YDhgPIBAoESQSDBLUE4AUCBR8FOAVQBWcFgAWZBbEFxgXXBeUF8AX9Bg4GJQZEBmcGjQavBssG3gbnBukG6AbnBusG9AcCBxIHIgctBzMHMwctByUHGwcSBwsHCQcKBxAHHAcuB0QHWwdvB3kHdQdeBzMG+AaxBmgGJQXvBcsFuAWxBbIFsgWtBaAFiwVxBVQFOgUmBRgFEQURBRUFHgUsBT4FVAVtBYYFngWxBb0FwQW+BbUFqAWaBY4FgwV7BXUFcgVyBXMFdwV+BYYFjgWWBZsFnQWcBZkFlAWQBY0FiwWMBY0FjgWPBY4FjQWLBYoFiQWIBYgFhgWEBYAFewV0BW0FZAVbBVAFQgUyBSAFDQT8BO4E5ATgBOAE4gTkBOME3QTUBMYEtgSnBJsEkQSLBIgEhgSEBIEEfQR3BG8EaARhBFoEUwRMBEUEPgQ3BDAEKgQkBB8EGgQVBBAEDAQIBAQEAQP+A/sD9wPyA+wD5gPhA9wD2APWA9UD0wPQA8sDxAO7A7IDqAOgA5gDkgOMA4YDgAN4A3EDawNmA2IDYQNhA2EDYgNhA2EDYANgA2EDYgNlA2cDZwNmA2QDYANcA1gDVgNXA1gDWwNeA2EDZANnA2oDbwN0A3sDggOIA40DkgOWA5sDoQOpA7MDvwPNA9sD6AP0A/4EBwQOBBUEHAQjBCoEMwQ8BEYEUQRcBGcEcgR+BIkElQSiBLIExgTeBPkFGgU8BUwFcQWWBbsF3wYBBiMGQgZeBnUGhgaRBpQGkgaKBn8GdAZqBmMGXwZdBl0GXgZfBl8GXwZfBmAGYwZnBmwGcgZ5BoAGiAaQBpkGowauBrsGyAbWBuIG7gb5BwIHDAcWByAHLQc6B0oHWQdpB3gHhQeQB5gHnQedB5gHjweBB28HWwdHBzUHKQciByIHJwcxBzsHRQdKB0sHSAdCBzsHNgc0BzUHOAc9B0IHRQdIB0oHTAdQB1UHXAdjB2kHbQdtB2sHaAdmB2YHaQdvB3cHfgeEB4cHiAeKB40HlAegB68HvwfPB90H6QfyB/sIBwgUCCMILwg2CDMIJAgKB+kHyQeyB6wHuwfgCBYIVgiXCNAI+wkWCSMJJwkoCSoJMglACVQJaQl+CZEJnwmqCbMJuwnDCcwJ1gngCeoJ8wn7CgMKDAoXCiQKNApFClcKagp7CokKlgqgCqcKrQqxCrQKuAq8CsIKygrVCuEK8AsACxELIws3C0wLYwt+C5oLuAvWC+8MAgwLDAoL/wvsC9YLvwutC6ALmwucC6ILqwu2C8IL0QvjC/sMGAw4DFcMcQyBDIYMfgxtDFYMPgwrDB8MGQwXDBUMDQv+C+ULxQuiC4ALYwtMCzoLLAseCwsK8wrWCrUKkwp1ClsKSQo8CjUKMQowCjIKNgo/CkwKXgpzCokKmwqmCqgKnwqLCnAKUAouCg8J8wneCdAJxwnDCcIJwgnBCb4JuAmsCZsJhAlpCUsJKwkKCOkIygitCJIIeQhhCEsIOAgnCBgIDQgEB/0H9gfvB+YH2wfNB70HqweZB4YHdQdlB1YHSQc7By4HHwcOBvoG4gbFBqUGgQZcBjcGFQX3Bd4FygW6BawFngWPBX8FbgVdBU8FRQU/BT4FPwVABT4FNwUqBRcFAATnBM0EtASdBIgEcgRcBEMEKAQLA+wDzAOsA4wDbQNOAzADEwL4AuACygK3AqQCkQJ8AmICRAIjAf8B3AG7AZ8BhwF0AWMBUgE/ASgBDgDxANQAtwCbAIMAbgBZAEYAMgAcAAX/7f/U/7z/pv+S/4L/c/9o/17/Vf9M/0D/L/8X/vb+zf6a/l/+Hv3d/Z39Y/0z/Q388vzf/NH8xfy2/KH8hPxi/Dv8E/vv+9D7ufun+5n7i/t3+1r7M/sC+sn6jPpO+hP53fms+YD5V/kw+Qn45PjB+KL4h/hz+GP4V/hO+EX4PPg0+C34Kfgp+C34Nvg/+Ef4SfhB+C34DPff96j3bPcu9vL2ufaG9lb2KPX59cf1j/VS9RP00/SV9F/0MvQO8/Xz4/PX887zxvO887HzpPOX84vzgfN683jzevN/84XzivOL84fzevNn80zzLvMP8vLy2/LJ8rzysvKn8pryiPJz8l7yTPJB8j3yQfJI8k7yTvJC8iryBvHa8a3xhPFi8UrxOvEv8SXxGPEG8O7w0vCy8JHwcvBT8DTwFe/179Tvs++T73bvW+9E7y7vGu8F7vDu2+7H7rbuqu6k7qHuoe6j7qPuoe6c7pTui+6C7njub+5l7lzuUu5I7kDuOO4y7i7uKu4k7hzuD+3/7ezt2u3K7b/tuu297cXt0O3d7ert9O387gLuBe4I7gruC+4M7g7uEu4Z7iTuM+5G7l3udO6K7pzuqe6w7rTutO607rTute627rbute6w7qjunu6R7oXueu5x7mruZe5i7l/uXO5a7lnuWe5a7lvuXe5c7lfuUO5D7jTuIu4Q7f7t7e3e7dDtwu2z7aTtlO2E7XTtZe1Y7UvtP+0x7SHtDuz47OHsyuy17KLslOyJ7IDseOxu7GLsUuxA7C7sHOwM6/7r8evk69Xrwuus65Tre+tk61TrSutJ607rWetk62/rdet363PrbOti61frTutH60PrQ+tG60zrVetg62zreOuF65Hrneun67HruuvD68vr0uvW69nr2evX69Tr0OvM68nrx+vF68XrxOvD68LrwOu/677rveu9673rvuu/68DrwuvF68jrzuvT69nr3+vj6+br5+vp6+rr7Ovw6/br/OwE7AvsEuwX7BzsIOwj7CbsKOwq7CzsL+wy7DfsPOxE7EzsVOxc7GPsaOxs7G/scex07HjsfOyB7IfsjOyR7Jbsm+yh7Kfsruy27L3sw+zI7MvszuzQ7NPs1+zc7OTs7Oz17P7tB+0P7RjtIO0o7TLtPe1I7VTtYe1t7XnthO2O7Zftnu2j7abtqO2q7artrO2u7bLtuO3A7crt1e3h7e7t+u4H7hTuIe4v7j/uT+5h7nPuhe6X7qbutO7A7sru1O7c7ubu8e7+7w3vHu8v7z/vT+9d72nvcu95737vgu+D74Pvgu+B74DvgO+B74Xviu+S75zvpu+x77rvw+/L79Pv2+/i7+vv8u/68AHwBvAJ8ArwC/AM8A7wEvAY8CLwLfA78ErwWfBo8HbwhPCS8KDwrvC98M7w4PDz8QfxHPEx8UbxWvFt8YDxk/Gl8bjxy/Hf8fLyBfIX8ifyNfJC8k7yWfJl8nLyf/KO8p3yq/K48sTyzvLY8uHy6/L28wHzDvMa8yXzL/M38z/zRfNN81bzYPNt83vzivOX86Tzr/O488HzyfPR89vz5PPu8/fz//QH9A/0F/Qh9Cz0OPRH9FX0ZPRz9IL0kfSg9LD0wfTS9OT09PUE9RP1IvUw9UD1UPVh9XP1hfWX9ab1tfXB9c312PXk9e/1+vYE9g72F/Yf9ij2MvY+9kz2XPZr9nn2h/aR9pv2pPas9rb2v/bJ9tP23Pbk9uv29Pb/9wz3G/cr9zr3RvdP91X3Wvdi92/3gved97v32vf2+Ar4Gfgk+DD4Qvhg+Ir4vPjw+R75P/lO+Uz5QPkx+Sr5NflU+YX5w/oC+jf6W/pq+mf6VvpC+jP6Lvo2+kv6Z/qG+qP6vfrS+uT69/sL+yL7PPtY+3L7ivug+7P7xPvW++n7/fwT/Cn8P/xV/Gn8fvyU/Kz8xvzk/QT9Jf1H/Wf9hf2h/bv90/3q/gH+GP4w/kv+aP6I/qr+z/71/xv/Qv9p/47/sf/S//EADgAqAEQAXgB4AJMAsADOAO4BDgEvAVABcAGPAa0BzQHvAhQCPQJrAp8C1wMSA1EDkAPOBAkEQARxBJ0EwgTkBQIFHwU8BVcFcgWKBZ0FqwW0BbsFwwXRBecGCAYzBmMGlAbABuEG9Ab4BvEG4wbSBsQGuwa5BrsGvwbDBsUGxQbABrsGtAauBqsGqwayBr4G0gbrBwcHIQczBzkHLAcLBtcGlwZSBhIF3wW+BbAFsQW6BcMFxQW8BacFhwVjBUAFIgULBP0E9ATvBO0E7QTwBPcFBAUXBS8FSQVhBXYFgwWJBYgFggV6BXEFaQViBVwFVgVRBU0FSwVLBU0FUgVZBWAFZQVoBWkFaAVmBWUFZAVkBWYFaAVqBWoFagVoBWYFYwVgBVwFVwVSBUwFRQU/BTgFMgUrBSIFFwUJBPcE4wTPBL4EsASnBKQEpASmBKYEpASdBJEEgwR0BGcEWwRSBEwERwRCBDwENQQtBCQEHAQVBA8ECwQHBAMD/gP4A/ID6wPkA94D2QPWA9QD0wPTA9MD0wPSA9ADzAPHA8EDuwO2A7IDrgOsA6oDpwOiA5wDlQONA4QDewN0A20DZgNfA1gDUQNJA0IDPAM3AzUDNAM0AzQDNQM2AzcDOAM6AzwDPwNBA0IDQQM/AzsDNwMzAzIDMwM2AzoDPwNEA0gDSgNMA04DUQNVA1sDYQNoA28DdQN8A4QDjQOYA6YDtAPDA9ED3gPpA/ED+AP+BAQECgQSBBsEJAQvBDoERARPBFkEYgRsBHYEgQSPBJ8EsgTKBOYFBQUoBTQFWQV9BaAFwgXhBf0GFgYsBjwGSAZOBk8GTAZGBj4GNwYyBi4GLQYtBi0GLQYsBiwGLQYvBjQGPQZIBlYGYwZwBnsGgwaKBpEGmAagBqsGuQbIBtgG6Ab3BwUHEwchBy8HPgdNB1wHaQd1B30HgweGB4cHhQeDB34HdwdtB2AHUAc+BywHGwcOBwYHBAcGBwsHEQcXBxsHHAccBxsHGwccBx4HIQckBycHKAcpByoHKwctBzEHNQc6Bz0HPwc/Bz4HPQc8Bz4HQgdHB0wHUgdVB1gHWgddB2QHbQd6B4oHmQepB7YHwQfNB9gH5gf1CAMIDQgQCAkH+AfhB8gHtQevB7wH3QgOCEoIhwi+COcJAAkLCQwJCQkICQ0JGQksCUIJVglnCXEJdwl5CXoJfQmDCYwJlwmjCa4JuAnBCckJ0QnbCecJ9QoEChQKJQo2CkcKWApqCnoKigqXCqIKqgqvCrQKuAq/CsgK1ArkCvYLCgsgCzcLUQtuC40LrAvLC+UL9wwAC/0L8QvfC8oLuQuuC6wLsgu/C84L3gvtC/wMDAwhDD0MYQyNDLoM5A0EDRUNFg0HDOwMzAytDJIMfQxuDF8MTww4DBsL9wvRC6sLiAtsC1QLQAsrCxIK9QrTCq4KigpqCk8KPAovCicKIQoeChsKGwoeCiUKMgpDClYKaQp3Cn4KewpuClcKOgoaCfgJ2gm/CasJngmWCZMJkwmUCZQJjwmGCXYJYAlGCScJCAjoCMsIsAiXCH8IaQhUCEAILQgcCA4IAgf4B+8H5gfaB8wHuweoB5MHfwdsB1sHTAc/BzEHIwcTBv8G5wbMBq4GjAZoBkQGIAX+BeAFyQW4Ba8FrQWvBbMFtQW1Ba8FpQWXBYgFewVvBWYFXwVWBUsFOwUlBQoE7ATOBLIEmQSFBHUEZwRYBEcEMgQYA/sD2QO2A5MDcANQAzMDGQMEAvMC5ALWAsgCtgKeAoACWwIwAgIB1AGnAX8BWwE6ARwA/gDfAMAAoACCAGgAUgBCADUAKQAdAA3/+f/g/8X/qv+R/33/bv9k/13/Wf9T/0z/Qv81/yb/FP7+/uT+xP6c/mz+NP31/bX9d/1A/RP88fza/Mr8vfyt/Jj8evxW/C38BPvg+8P7r/uk+5z7lPuH+3H7Ufso+vj6xfqS+mP6N/oN+eT5u/mP+WH5MfkC+Nb4r/iP+HT4XfhK+Df4JPgS+AP3+ff29/v4BvgW+Cb4Mfgy+Cb4C/fj97L3e/dE9xL25vbA9qD2gPZd9jP2APXF9YT1QfUC9Mv0n/R/9Gn0XfRU9Ez0QvQ09CL0DfP48+bz2PPQ883z0PPU89nz2vPU88bzr/OR823zSPMl8wjy8vLj8tny0PLF8rTynPJ/8mHyRfIv8iTyIfIl8iryKvIi8g7x8PHL8aTxgvFn8VfxTvFL8UfxQPEy8R3xAvDi8MHwofCC8GXwSfAs8A/v8e/U77nvoe+L73nvaO9Y70fvNe8j7xHvAe7z7uju3u7U7svuwe607qfumO6K7nvubO5e7k/uQe407ijuH+4Z7hTuEe4N7gft/e3w7eHt0e3D7bjttO217bztx+3U7eHt7e347gDuBe4H7gXuAO337evt4O3W7dLt1e3g7fTuDu4q7kTuWu5p7nLudO5y7m/ubO5r7mvua+5q7mfuYO5X7kvuPu4x7ibuHe4W7hHuDe4K7gjuB+4H7gfuB+4F7gLt/O3y7ebt2O3J7bvtre2h7Zbti+2A7XPtZe1W7UbtNu0o7RvtD+0C7PTs4+zO7LfsnuyE7G3sWexJ7D7sNewu7CfsH+wU7Afr+Ovn69brxOuy657riOtx61nrQesr6xjrCusC6wHrBOsM6xbrIOso6y3rL+ss6yXrGusO6wHq9ert6unq6erv6vrrCesb6y7rQutV62jreuuL65rrpuuv67Xrt+u267Lrreun66Lrnuua65jrleuS64/ri+uI64XrhOuD64Lrg+uE64XrhuuI64rrjuuT65jrneui66brquus66/rseuz67frvOvB68jrz+vW693r4+vn6+vr7Ovt6+zr7Ovt6/Dr9ev97AbsD+wY7B/sJOwo7CrsK+wt7DDsNOw57D7sQ+xH7ErsTuxR7FbsXuxn7HHsfOyG7JDsl+yd7KLspuyq7K/stOy77MHsx+zN7NPs2ezf7Obs7uz47QPtEO0c7SjtNO0/7UntUu1a7WLtaO1v7XTteO187YDthe2L7ZPtnO2o7bTtwu3Q7d3t6u337gXuE+4j7jTuRu5Z7mrue+6I7pTunu6m7q/uue7E7tLu4e7x7wHvEO8e7yzvOO9D707vV+9f72Xvae9q72nvZ+9k72PvY+9n72zvdO9974Xvju+W753vpO+r77Tvve/I79Lv3e/l7+zv8O/07/bv+O/88AHwCPAS8B7wK/A68ErwWvBq8Hrwi/Cc8K7wwfDV8Onw/vET8SnxPfFR8WTxd/GK8Z3xr/HC8dTx5vH28gbyFfIi8i/yO/JH8lTyYPJt8nryhvKR8pzyp/Ky8r7yyvLX8uTy8PL68wPzC/MS8xjzIPMp8zXzQvNR81/zbfN684TzjfOV853zpfOu87fzwfPK89Tz3PPl8+/z+/QH9Bb0JfQ09EP0UvRg9G30e/SL9Jz0r/TC9NX05/T39Qb1FPUi9TH1QvVU9Wf1evWL9Zv1p/Wz9b31x/XS9d316fX09f72B/YP9hj2IvYs9jn2RvZU9mD2a/Z09nz2hPaM9pb2ofat9rn2w/bN9tb23/bp9vb3BPcU9yP3MPc690H3SPdR9173cfeL96j3x/fi9/j4CfgW+CP4NPhO+G/4lvi++OD49vj/+Pv48fjq+O/5Bvkx+W/5tvn8+jb6XPpq+mT6T/o0+h76FPoY+in6Rfpl+oX6ofq5+sz63vrw+wT7G/sz+0z7Y/t5+477ofu0+8n73vv1/Av8Ivw3/Ev8Xvxz/Ij8ofy8/Nr8+v0b/Tv9Wv14/ZP9rf3E/dv98/4L/iT+QP5e/n7+n/7C/uX/CP8q/0z/bf+P/7D/0v/0ABcAOQBZAHkAlwC0ANAA7AEKASkBSgFuAZUBvwHtAh0CUAKGAr8C+AMyA2sDogPWBAYEMARXBHkEmQS4BNgE+AUZBTkFVgVtBX4FiQWPBZMFnAWsBcgF7wYfBlMGhgaxBs4G3AbbBs0GtwafBogGdQZnBl4GVwZTBlAGTgZMBksGTQZQBlYGXwZsBn0GlAavBssG5Ab1BvgG6gbJBpgGXAYdBeUFuwWjBZsFoAWrBbIFsAWiBYcFZQU/BRwFAATsBN8E1wTPBMgEvwS4BLUEtwTCBNME6wUEBRsFLwU8BUQFSAVIBUYFQwU/BToFMwUqBSAFFwUQBQ4FDwUTBRoFIQUnBSoFKwUqBSkFKAUpBSsFLgUyBTUFNwU3BTUFMQUqBSIFGAUNBQIE+ATwBOkE5gTjBOEE3QTXBMwEvQSsBJoEigR8BHMEbQRqBGgEZARfBFYETARABDQEKQQfBBYEDgQGA/0D9APqA+AD1wPRA80DygPIA8cDxQPBA7wDtgOwA6oDpgOjA6IDogOjA6QDpAOkA6IDnwObA5YDkQOMA4cDggN+A3kDdANuA2gDYgNcA1UDTwNIA0EDOQMxAygDHwMWAw8DCgMHAwYDBwMIAwsDDQMPAxEDFAMYAxwDIAMjAyUDJQMjAyADHQMbAxsDHQMgAyUDKgMuAzEDMgMzAzMDNQM4AzwDQgNKA1IDWwNlA28DfAOJA5gDpwO1A8IDzQPVA9wD4QPnA+0D9QP+BAkEFAQgBCsENQQ/BEkEUgRbBGUEcAR9BIwEnwS2BNAE7wURBSQFRgVoBYgFpQW+BdIF4wXwBfoF/wYCBgIGAAX+Bf0F/AX+BgEGBQYJBgsGDAYMBgwGDQYQBhcGIgYwBj8GTgZaBmQGagZuBnIGdwZ/BosGnAavBsQG2QbuBwIHFQcnBzkHSgdbB2kHcwd4B3kHdAdsB2MHWgdSB0sHRgdABzgHLAcdBwwG+QboBtsG0wbRBtQG2wbkBu0G9Qb6Bv0G/wcABwEHAgcEBwUHBgcHBwgHCAcIBwgHCAcIBwgHBwcHBwcHCQcNBxMHGgciBykHLgcyBzUHOAc8B0MHTQdZB2cHdQeDB5EHngesB7sHygfYB+MH5gfhB9QHwAerB5sHmAemB8gH+wg4CHgIsQjcCPUI/gj6CPEI6gjqCPMJBQkcCTMJRQlPCVEJTglICUMJQwlICVIJXwltCXoJhgmQCZkJowmuCboJxwnUCeEJ7gn8CgsKHQoyCkkKYQp4CosKmQqjCqgKrAqxCrgKxArUCugLAAsZCzQLTwtqC4YLoAu4C8sL2AvcC9kL0QvIC8MLxQvSC+kMCQwsDE0MaQx+DIwMmAyoDMAM4w0RDUYNeg2mDcINyg29DZ4Ncw1DDRQM6wzIDKwMkQx3DFkMOAwVC/ELzwuvC5ILdgtZCzoLGArzCs0KpwqGCmsKVQpFCjkKLwolChwKEgoLCgcKBwoLChMKHQolCisKLAomChkKBwnwCdUJuwmhCYsJegluCWkJaAlpCWsJaglkCVcJQgknCQcI5wjHCKsIkgh9CGsIWwhKCDkIJwgVCAMH8wfkB9YHyAe5B6kHlweFB3IHYAdOBz0HLAcaBwUG7AbQBrEGjwZtBk0GLgYSBfkF4wXSBcQFvAW6Bb8FyQXWBeYF8wX7Bf4F+QXuBd8FzgW8BasFmQWHBXEFVwU3BRQE7wTLBKwEkwSBBHYEbgRnBF0ETQQ1BBcD8gPJA6ADeANUAzQDGwMGAvYC5wLYAscCsAKTAm8CRQIXAeUBtAGEAVYBKwEBANkAsQCLAGgASgAyACEAGAATABAACf/8/+b/yP+j/3z/Wf8+/y7/Kf8v/zr/Rv9P/1L/Tv9D/zP/If8M/vX+2v65/pD+Xf4i/eH9nf1d/SP88/zL/Kv8jvxx/FD8Kvv++9D7ovt6+1n7Qfsx+yb7HPsR+wH67PrS+rX6mPp8+mL6SPou+hH57/nJ+Z75cflD+Rj48fjO+K74j/hw+E/4LPgI9+f3y/e296z3qvev97f3vPe69633lvd09033Ivb79tn2v/as9p32jfZ49lr2M/YC9cr1kvVc9S/1DPTz9OT02vTR9Mb0t/Sj9Iv0cPRW9D70K/Qd9BP0DPQG8/3z8PPc88LzoPN4807zJPL98tvywvKv8qHylvKJ8nfyYfJF8ijyCvHy8eDx1vHS8dDxzfHG8bjxpPGL8XLxXPFL8UDxOfE18TDxJvEW8P/w4/DF8KXwh/Br8FDwNvAb8ALv6e/R773vru+j75zvmO+V75LvjO+E73rvbe9f707vPO8p7xPu/O7k7szutO6e7orud+5m7lbuR+467i/uJu4h7h7uHe4c7hruFe4M7gLt9u3r7ePt3+3h7eft8e397gnuFe4e7iXuKe4n7h/uEO367d7tvu2e7YPtce1r7XLthO2f7b7t2+3y7gHuCO4J7gbuAu4B7gPuB+4O7hPuFu4U7g7uBO337ert3u3T7crtxO2/7bztuu247bfttu217bPtr+2q7aHtl+2L7X/tc+1o7V3tVO1M7UPtOe0t7SDtEu0D7PTs5ezV7MbstOyh7Izsdexc7ETsLuwb7AvsAOv46/Lr7Ovl693r0evD67ProOuN63nrZOtQ6zzrJ+sU6wHq8Orh6tbq0OrO6tHq1+rf6ujq7urw6u3q5erY6sfqt+qn6pzqluqW6pzqp+q16sbq2ers6wDrFOso6zzrTute62rrcet163Trcett62frYute61rrV+tU61DrTetL60nrR+tH60jrSetK60vrTOtN607rUOtS61frXOti62nrcOt263zrgOuE64frieuM64/rlOuZ65/rpuut67Lrteu367frtuu167XruOu868Pry+vU69zr4uvn6+rr7Ovu6/Dr8+v26/nr/ewA7ALsBOwH7AzsE+wd7CjsNuxD7FDsXOxl7Gzscux27Hvsf+yE7Irsj+yU7Jrsn+yl7Kvssuy57MDsyOzP7Nbs3ezk7Ozs9ez/7QvtGO0l7THtO+1D7UrtUO1W7V7tZ+1y7X/tje2c7antte3B7czt2O3l7fTuBe4X7iruPe5N7lvuZ+5x7nvuhO6P7prup+607sLuz+7b7uju9e8D7xHvIO8v7zvvRe9K70zvSe9F70DvPe8970DvRe9O71fvYO9p73Dvd+9+74bvju+Z76TvsO+878bvz+/W79rv3u/i7+bv6+/y7/vwBvAT8CLwM/BE8FfwavB+8JLwpvC78NDw5vD78RDxJfE68U7xYvF18YfxmfGr8bzxy/Hb8enx9vID8hDyHfIq8jfyRPJR8l3yafJ08n/yivKW8qLyrvK68sby0fLb8uPy6/Lz8vzzBvMR8x7zK/M480TzT/NY81/zZ/Nv83jzgvON85jzovOs87XzvvPH89Lz3vPt8/z0DfQc9Cv0OfRG9FP0YfRy9IT0mPSs9MD00/Tk9PP1AvUR9SH1M/VG9Vn1avV69Yf1kfWa9aP1rPW29cH1zvXZ9eX17/X39gD2CfYT9h/2K/Y29kH2SvZR9lf2XvZn9nL2f/aN9pv2qfa09r72x/bP9tr25vb09wP3Efce9yn3M/c/9033YPd495T3svfO9+f3+/gL+Bn4J/g5+E/4aPiA+JT4ofil+KP4oPii+LD4zvj++Tz5gPnD+fn6Hvou+iz6HfoK+fr59Pn7+g76K/pL+mz6iPqh+rX6xvrW+uj6+/sP+yT7OvtO+2L7dfuJ+577tPvM++T7/PwU/Cz8Q/xa/HL8jPym/ML83vz7/Rf9M/1O/Wj9gv2b/bT9zf3o/gP+H/49/lv+ev6Y/rb+0/7v/wz/Kf9I/2v/kP+5/+MADAA0AFgAeACVAK8AyQDlAQYBLAFZAYwBxQIBAj4CewK3AvEDJwNbA4wDuQPhBAYEJQRCBFsEdASOBKoEyATnBQUFIQU3BUgFVAVdBWcFdgWMBawF1AYBBi8GVwZ1BoYGigaCBnIGXgZKBjcGKAYaBg0GAgX2BewF5QXhBeMF6wX3BggGGgYvBkUGXAZ0BowGoQavBrIGpgaLBmEGLQX3BcQFmwWABXIFbgVuBW0FZQVUBToFGwT7BN8EygS6BLEEqgSiBJkEjwSFBH8EfgSEBJIEpQS7BNEE5ATyBPwFAwUHBQoFDAUMBQoFBQT9BPQE6gThBNwE2wTcBOAE5QToBOgE5gTiBNwE2ATWBNYE2QTdBOIE5gTpBOoE6ATjBNsE0QTFBLgErAShBJoElgSVBJcEmASYBJUEjgSCBHQEZARVBEgEPQQ1BC4EKQQjBBwEFAQLBAED+APwA+gD4APXA84DxQO7A7IDqgOkA58DnQObA5oDmAOVA5EDjQOIA4MDfwN8A3oDeAN3A3YDdgN1A3MDcgNvA20DaQNkA18DWANQA0kDQQM7AzQDLwMrAycDIwMdAxcDDgMFAvsC8QLpAuQC4QLhAuMC5wLqAu0C8ALzAvUC+QL9AwIDBwMLAw8DEQMRAxADDwMOAw8DEQMUAxgDHAMfAyEDIgMjAyQDJgMpAy4DNAM8A0QDTQNXA2IDbwN8A4oDmAOkA7ADuQPAA8cDzQPUA9wD5QPwA/sEBwQTBB8EKQQ0BD4ERwRSBFwEZwR0BIMElQSqBMQE4QUBBQkFJwVEBV4FdAWHBZcFowWtBbUFuwW/BcIFxAXFBcgFywXPBdUF2wXhBecF6wXuBfAF8wX4Bf8GCAYUBh8GKgYyBjgGPAY/BkMGSgZVBmUGeQaPBqcGvgbUBukG/AcOByEHMgdCB08HVgdWB08HQgcxBx4HDAb+BvMG7AboBuMG3AbSBsUGtwapBp4GmAaZBp8GqQa2BsMGzQbVBtkG2gbZBtgG2AbZBtoG3AbeBt8G3wbdBtgG0wbOBskGxgbFBscGzQbWBuEG7Ab3BwAHBwcLBw8HEgcXBx0HJgcwBz0HSwdaB2sHfQeSB6YHuAfFB8sHxge3B6AHhgdvB2UHbAeKB7wH/QhGCIsIwwjpCPsI+wjxCOQI2wjcCOYI+QkOCSAJLAkvCSsJIgkZCRQJFAkbCScJNQlDCU8JWQliCWwJdwmFCZQJpAm0CcMJ0QneCe0J/woVCi8KSwpmCn0KjwqbCqEKpQqoCrAKvQrQCukLBwsmC0YLZAuAC5kLrgu/C8oL0AvQC80LygvLC9UL7AwRDEMMfQy6DPENHw1ADVUNYw1vDYENng3FDfUOJw5TDm8Odw5oDkMODw3RDZINWA0mDP0M3Ay+DKEMgwxkDEIMIAv+C90LvAucC3wLWgs3CxQK8grRCrMKmQqBCmsKVgpBCi0KGQoGCfUJ5wncCdUJ0AnOCc4JzgnOCcsJxQm6CasJmAmBCWkJVAlDCTkJNQk4CT4JQwlECT0JLgkWCPkI2Ai5CJ0Ihwh3CGwIYwhaCE4IPwgtCBcIAAfoB9AHuAeiB40HegdnB1UHQwcwBxwHBAboBsgGowZ8BlUGMgYUBf0F7gXmBeMF4wXkBeUF6AXrBfIF+wYHBhQGIAYoBisGJgYbBgoF9gXhBcwFuAWjBYwFcgVVBTMFEATtBM4EtgSlBJoEkwSMBIIEcQRYBDUEDAPeA68DggNaAzgDHQMGAvIC3gLJAq8CkAJsAkMCFwHpAbsBjQFgATMBBwDbAK8AhQBdADsAIAAOAAT////9//f/6v/S/6//gv9R/yL+/P7k/t3+5/7+/x3/Pf9Y/2n/cP9s/1//Tf83/x//A/7j/rz+jP5U/hb90/2P/U39EfzZ/Kf8d/xH/Bb74/ut+3j7RfsX+u76zfqy+pv6h/p1+mT6U/pE+jf6Lfol+h76FvoL+fv55fnJ+aj5hvlj+UH5IfkC+OL4wPiZ+G74P/gN9933sveO93P3YPdU90v3Qvc19yL3CPbo9sb2pfaJ9nP2ZPZb9lX2TvZE9jL2GPX49dL1rPWH9Wn1UPU99S31H/UP9Pz05PTJ9Kz0j/R09F30SfQ49Cn0G/QL8/jz4fPF86TzfvNT8yTy9PLD8pXybPJJ8i3yGPIH8frx7vHi8dXxx/G68a3xofGW8Yvxf/Fy8WPxUvFA8S7xHvEQ8QTw+fDw8OTw1/DG8LPwnvCH8HDwWPBA8CjwDu/z79nvwO+r75vvke+N74/vlO+b76Pvqe+s763vqe+h75Tvg+9s71HvMu8S7vHu0+647qHuje597nDuZO5b7lPuTe5K7knuSe5I7kbuQu477jLuJ+4e7hjuFe4Y7h/uKe407j/uSe5Q7lTuU+5M7j/uKO4J7eDtsO1+7U7tJ+0M7QLtCO0b7TjtV+1z7Yntle2Z7Zftk+2R7ZLtmO2h7azttu297b7tu+2y7aftm+2Q7YXtfO117W7tae1m7WTtZO1n7Wvtb+1y7XLtbu1l7VjtSO027SXtFu0K7QHs+Ozx7Ojs3uzS7MTstOyk7JTshOxz7GHsT+w77CXsD+v56+Xr0+vE67jrsOuo66HrmOuO64LrdOtl61XrRes16ybrFusF6vPq4erP6r7qr+qk6p7qnOqe6qPqp+qq6qnqpOqb6o7qgOpz6mnqYepe6l7qYepl6mvqc+p86ojqmOqq6r/q1err6v7rDusa6yHrJOsj6yHrHesa6xfrFOsQ6w7rC+sJ6wfrBusG6wfrCesL6w3rD+sR6xPrFesY6xzrIesn6y7rNus+60brTOtS61XrWOtZ61vrXetg62Tra+ty63nrgOuF64frh+uF64PrguuC64XriuuS65rrouup66/rtOu367rrveu/68LrxOvG68jryuvM69Dr1evc6+br8ev97ArsFewg7CjsL+w27DvsQexH7E7sVexd7GXsbOx07HvsguyH7I3skeyU7Jfsmeyc7KDsp+yw7LvsyOzW7OPs8Oz67QPtC+0T7RztJ+0z7ULtUe1g7W7teu2E7Y7tmO2k7bHtwu3U7ejt/O4O7h/uLe467kbuUO5c7mfuc+5/7orule6g7qvut+7F7tXu5u737wfvE+8b7x7vHe8Y7xPvDu8M7w7vFO8d7yjvNO8+70jvUO9X713vZO9s73Xvf++J75Tvnu+n77Dvt+++78bvze/V79/v6u/28AXwFfAn8DrwTvBj8HjwjvCk8Lrw0PDl8PvxEfEm8TvxT/Fj8XbxiPGZ8ajxt/HE8dHx3fHp8fXyAvIP8hzyKvI48kXyUfJc8mfycvJ88ofykfKb8qXyrvK38sDyyvLU8t/y6/L38wTzD/MZ8yLzKfMw8zbzPvNI81PzX/Nt83nzhfOP85fzn/Oo87LzvvPN893z7fP+9A30HPQq9Dj0SPRZ9Gz0gPSU9Kf0ufTK9Nn06PT49Qn1G/Uu9UD1UPVe9Wn1cvV69YL1jPWX9aX1svW/9cr10/Xb9eL16vX09f/2C/YY9iP2LPYz9jn2P/ZH9lH2XfZs9nv2ifaW9qD2qPaw9rr2xfbT9uL28/cD9xL3H/ct9z33T/dm94D3nfe699X37Pf++A74G/gn+DX4Q/hR+F74Z/hs+G/4cvh5+In4pfjM+P35M/lo+Zb5ufnP+dj52vnY+dj53vns+gH6G/o4+lT6bvqF+pj6qvq6+sz63vry+wb7G/sv+0P7V/tr+4D7lvut+8X73vv4/BL8LPxH/GL8fvyZ/LT8zfzm/P39FP0r/UL9Wv1y/Yz9p/3D/eH9//4f/j/+X/5+/pz+uP7T/uz/Bv8h/z7/YP+E/6z/1P/8ACIARABkAIQApADJAPQBJgFgAaAB5AIoAmsCqgLjAxcDRwNxA5gDvAPdA/oEFAQqBD8EUgRmBHoEkQSoBL8E1QToBPkFCAUYBSsFQwViBYgFsAXYBfsGFQYiBiQGHAYOBf4F8AXlBd4F2QXSBckFvAWrBZoFjAWEBYUFjwWhBbkF0wXvBggGIAY1BkcGVAZcBlsGTwY3BhQF5wW2BYYFWwU5BSEFEgUIBP4E8wTjBM8EugSkBJIEhAR6BHMEbgRnBGAEVwRQBEsETARSBF8EbgSABJAEnQSmBK0EsgS2BLsEwATFBMkEygTJBMUEvwS5BLQEsQSwBLAErwStBKgEoQSYBI8EhwSABH0EfAR+BIIEhQSJBIwEjQSMBIgEgwR7BHEEZwRdBFQETgRLBEsETARNBE4ESwRGBD0EMgQmBBkEDgQEA/sD8wPtA+YD3gPXA9ADyAPBA7oDswOrA6QDnAOUA40DhgN/A3oDdgNzA3ADbQNqA2YDYgNfA1sDVwNUA1EDTgNLA0kDRwNGA0UDRANDA0IDQAM8AzYDLwMmAx0DFQMNAwcDAwMAAvwC+QL0Au0C5gLdAtUCzgLJAscCyALKAs8C1ALYAtwC3wLhAuQC5wLrAvAC9QL5Av0C/wMAAwEDAgMDAwUDCAMLAw4DEgMUAxYDFwMZAxsDHgMiAygDLgM1Az0DRQNNA1cDYgNuA3oDhgOSA5wDpgOuA7YDvgPGA9AD2wPnA/MD/wQLBBYEIQQrBDYEQQRMBFcEYgRvBHwEjASfBLYEzwTsBNEE5wT8BQ8FIQUxBUAFUAVfBW4FfAWJBZMFmwWgBaMFpQWnBaoFrwW1BbwFwwXLBdMF2wXjBesF8wX6BgEGBwYLBg8GEgYWBh4GKQY5BkwGYgZ5Bo4GoQayBsAGzQbZBuYG9AcABwoHEAcOBwYG9gbhBsoGtAahBpMGiwaGBoQGgQZ+BngGcgZrBmgGaAZsBnYGggaQBp0GpwauBrAGsAauBqwGqwasBq0GrwaxBrEGrgapBqIGmQaRBooGhgaGBosGkwafBqwGuQbFBs8G1wbcBuEG5gbsBvMG/AcHBxQHIwc1B0oHYgd8B5UHqge3B7kHrweYB3oHWwdEBzwHSwdxB6wH9ghFCI0IxgjrCPsI+gjuCOAI1wjVCN0I6wj6CQUJCwkJCQEI+AjxCO8I9Aj+CQsJGQklCS4JNAk6CUIJTgleCXMJiwmjCbsJ0AnkCfgKDgomCkAKWgpzCocKlQqcCp8KnwqiCqkKuQrRCvALFgs+C2YLjAuuC8sL4gv0DAAMBQwFDAMMAQwFDBQMMQxfDJwM5Q0zDX4NwQ32DhwOOA5MDl8Odw6UDrcO2w75DwsPCg70DsoOjw5KDgMNvg2CDU8NJA0ADOAMwQygDH4MWww4DBYL9gvYC7wLoQuGC2sLTwsyCxMK8wrTCrMKkwp1ClcKPAohCgcJ7gnWCcAJrAmcCZEJiwmKCYsJjAmLCYMJdAlfCUQJKQkRCQEI+gj+CQkJGQknCS8JLgkkCRAI+AjfCMkIugixCK8IrwiuCKkIngiKCG4ITAglB/0H1QevB4wHbQdRBzgHIQcJBvAG0wayBo4GZwZBBh8GBAXyBesF7QX2BgIGDwYYBh0GHgYdBh0GHQYhBigGLwY0BjQGLgYhBg4F9wXgBcoFtgWlBZUFhAVxBVoFQAUkBQkE8ATcBMsEvQSvBJ4EhwRpBEMEFwPoA7gDigNiAz8DIgMIAvEC2AK9Ap4CewJUAisCAQHWAawBggFZAS8BBgDbALIAigBmAEcALwAdABAABP/2/+P/xv+g/3L/Pv8M/uD+wf6z/rj+zv7y/xz/R/9t/4n/mf+c/5X/hP9t/1D/Lf8G/tr+qf5y/jf9+v27/X39QP0E/Mn8jvxU/Br74Puo+3L7QPsR+ub6vvqY+nT6Ufox+hX5/fns+eL53Pnb+dz52/nX+c75wPms+Zb5fvll+U35M/kZ+Pv42Pix+IT4U/gg9+73wPeW93P3Vfc89yX3Dvb29tv2vPab9nr2WvY99ib2FPYI9f/1+fXy9er13/XS9cL1svWh9ZD1f/Vs9Vj1P/Uj9QP04PS+9J30gPRn9FL0QfQy9CP0FPQC8+7z2PO+86DzffNT8yLy6vKs8mvyK/Hw8cDxnfGI8YHxhfGQ8Z7xq/Gy8bTxrvGi8ZHxfPFm8VDxOfEk8RDw/PDq8Njwx/C38KjwnPCR8InwgfB68HDwZPBT8D3wIvAF7+jvzO+176PvmO+S75LvlO+Z757vpO+p763vr++u76jvnO+K73HvUu8x7w7u7u7R7rrup+6Y7o3ug+577nPubO5m7mLuXu5Z7lLuSu4+7jLuJe4a7hPuEu4W7h/uK+457kXuT+5V7ljuVu5O7kDuKu4L7ePts+1+7UjtGez07N/s2+zn7P7tHO057VHtYO1l7WHtV+1N7UTtQO1B7UbtTe1U7VjtWu1Y7VPtTe1F7TztMu0o7R3tE+0L7QbtBu0N7RjtJ+037UTtSu1H7TvtJ+0N7PHs1+zA7LDspOyd7JjskuyL7IDsc+xl7FXsR+w67C3sIOwS7AHr7evW677rpuuQ633rbeti61nrUutL60PrOusw6yXrGesN6wDq9Orm6tjqyOq36qXqlOqF6nnqcepr6mjqZupk6mHqXOpW6k/qSOpC6j3qOeo26jPqL+op6iTqH+oc6h3qI+ou6j/qVOps6oPqmeqs6rvqxerN6tHq0+rT6tPq0erP6szqyOrE6sHqv+q96r7qv+rC6sXqyurP6tXq2urg6uXq6eru6vPq+Or+6wTrCesP6xTrGOsb6x7rIOsi6ybrLOsz6zvrROtL61HrVOtV61TrUetP607rUOtU61vrY+tr63Tre+uC64frjOuQ65PrluuY65nrmuua65vrnOuf66Trq+u0677ryevT697r5+vw6/nsAuwK7BPsHewm7C/sOOxA7EjsT+xW7FvsYOxk7Gjsa+xt7HDsdOx57H7sheyN7JXsneyl7K3stuzA7Mvs2ezo7PntCu0b7SrtOO1E7U/tWu1m7XTthe2X7artvu3R7ePt8+4C7g/uG+4o7jTuQe5N7ljuY+5t7nfug+6P7p3urO677sju0+7b7t7u3e7a7tbu0+7S7tXu3O7m7vPvAO8O7xrvJe8u7zXvOu9A70bvTe9U713vZ+9x73zvie+V76Lvr++878rv1+/m7/TwBPAV8CbwOvBO8GPwePCP8KXwu/DS8Ojw/vEU8SnxPvFS8WbxePGJ8Znxp/G08cDxy/HX8eLx7fH58gXyEvIf8ivyNvJB8kvyVfJe8mfyb/J48oDyiPKR8prypPKv8rryxvLS8t3y5/Lw8vjy//MG8w/zGPMj8zDzPvNM81nzZPNu83bzfvOH85Lzn/Ou877z0PPh8/L0AvQS9CL0NPRG9Fn0bPR/9JD0oPSv9L30zPTb9Oz0/fUO9R71K/U39UD1SPVR9Vz1aPV39Yf1lvWj9a71tvW89cH1x/XQ9dv16PX29gP2DvYW9hz2IvYo9jD2OvZH9lX2Y/Zw9nz2hvaQ9pr2p/a19sX21/bo9vj3B/cW9yX3N/dM92X3gfee97r30/fo9/n4CPgU+CD4LPg5+Eb4Ufhb+GT4a/h0+ID4kvir+Mv47/kX+T35YPl9+Zb5qfm5+cj52fnr+f/6FPoq+kD6Vfpp+n36kPqk+rj6zPrh+vf7DPsi+zj7Tvtk+3r7kfun+7370/vp/AH8Gfwz/E78afyE/J78t/zO/OT8+f0P/SX9Pf1V/XD9i/2o/cb95v4I/iz+UP51/pn+u/7a/vX/Df8i/zb/TP9j/37/m/+8/98ABQAuAFkAiQC/APoBOgF/AcUCCwJNAooCwQLwAxoDQANiA4MDowPBA9wD9AQJBBsEKwQ5BEcEVgRlBHQEgwSRBKAEsQTFBN8FAAUnBVIFfQWjBcAFzwXSBcgFtwWjBZAFhAV+BX4FgAWABXsFbwVdBUoFOAUsBSsFNgVKBWcFhwWnBcQF2wXtBfkF/wX+BfYF5QXKBacFfQVOBR8E8wTOBLIEnQSNBIIEeARuBGIEVwRMBEMEPQQ4BDUEMQQsBCYEIAQaBBYEFwQcBCQELwQ6BEQESwRQBFMEVgRaBGAEaQRzBHwEhASJBIsEigSHBIMEgAR8BHkEdQRwBGoEYgRZBFAERwRABDoENgQzBDIEMQQwBDAELwQvBC4ELQQqBCUEHgQXBA8EBwQCA/4D/QP+A/8EAAP/A/0D+APxA+kD4QPYA9ADyAPAA7kDsQOqA6IDmwOTA4wDhAN9A3YDbgNnA2ADWQNTA04DSANEAz8DPAM4AzUDMwMwAy4DLAMqAygDJgMjAyADHQMbAxkDGAMXAxUDEwMPAwoDBAL9AvYC7wLpAuQC4ALcAtgC0wLOAscCwQK6ArUCsgKwArECtAK4Ar0CwgLHAssCzwLTAtgC3ALhAuYC6gLtAu8C8QLyAvMC9QL3AvoC/gMBAwQDBgMHAwcDBgMHAwgDCwMQAxUDHAMjAyoDMwM7A0UDTwNbA2YDcgN9A4gDkQObA6QDrQO3A8MDzwPbA+gD9AQABAwEFwQiBCwENgRBBEoEVARdBGgEdASCBJMEpgS7BIcElQSkBLEEwATPBOEE9gUOBScFQAVXBWkFdwV/BYIFgQV/BX4FgAWFBY0FmQWmBbQFwQXNBdgF4AXnBesF7wXxBfQF+AX/BgoGGQYrBj8GVAZoBngGhAaMBpEGlAaXBpwGowarBrMGuQa6BrYGqwabBogGdQZjBlUGSwZGBkQGRAZFBkUGRgZGBkgGTAZTBlwGZgZxBnsGggaGBogGiAaGBoUGhAaDBoMGggaABnwGdwZvBmcGXgZXBlIGUQZVBlwGZgZyBoAGjAaXBqEGqQaxBrkGwgbLBtYG4gbvBvwHDAceBzMHSwdkB3wHkAebB5oHjQd2B1kHPQcrByoHPwdsB6wH+QhHCI0IwwjkCPEI7QjgCNAIxQjCCMcI0gjdCOYI6QjmCOAI2QjVCNcI3wjsCPwJCwkXCR8JJQkqCTEJPglQCWkJhwmmCcYJ5QoBChsKNApMCmIKdQqFCo8KkwqTCo8KjQqPCpoKrgrNCvULJAtVC4cLtgvhDAcMKAxCDFYMYwxqDGsMagxsDHUMiwywDOYNKg15Dc0OHg5nDqQO1Q77DxoPNA9ND2UPeQ+HD4kPfA9dDywO7Q6kDlYOCg3EDYYNUA0jDPwM1wy1DJMMcAxPDDAMEwv6C+QL0Au9C6oLlQt8C2ALQAsfCvwK2wq8Cp8KhApqCk8KMQoRCe8JzQmvCZUJhAl7CXgJeQl5CXQJZglPCTEJDwjwCNkIzgjRCOII+wkXCTAJQglKCUkJQQk2CS0JKAkpCS4JNQk4CTUJJwkOCOgIuQiCCEgIDQfVB6EHcwdLBygHCQbtBtMGuAadBoEGZgZNBjkGLAYmBigGMAY6BkQGSgZLBkYGPQYyBikGIwYkBikGMAY2BjgGMgYkBg8F9QXaBcEFrQWeBZMFigV/BXIFXwVHBSwFDwTxBNYEvASkBIsEcARTBDEEDAPkA7wDlQNxA1ADMgMXAv0C4wLIAqwCjQJsAkoCJgIBAdkBsQGHAV0BMwELAOUAxACmAI0AdgBgAEkALgAN/+b/uf+H/1T/JP76/tv+yf7F/s/+5P8C/yX/Sf9p/4T/l/+f/53/kP94/1b/K/75/sL+if5P/hb93/2q/XX9Qf0L/NT8nPxj/Cv79vvF+5n7cPtK+yT6/PrS+qX6dvpJ+iD5/Png+c35wPm5+bT5r/mp+Z/5k/mF+Xb5ZvlX+Ub5Nfkg+Qj46vjI+KL4ePhM+B/38vfG95v3cvdM9yf3BPbi9sL2ovaB9mH2QPYg9gL15vXO9bv1rvWn9aX1p/Ws9bD1svWw9an1nPWI9W31TPUn9QD02fS19JT0ePRh9E70PfQu9B/0D/P/8+7z3PPH86/zkPNo8zby9/Ku8l/yDvHD8YXxWPFB8T/xT/Fs8Y7xsPHK8drx3vHW8cXxrvGU8XnxX/FF8SzxE/D58ODwyPCz8KPwmfCV8Jbwm/Cg8KLwnvCT8IHwafBN8DDwFe//7+3v4O/X79Dvye/D773vuO+077Hvr++t76jvnu+O73fvW+887xvu/O7g7snutu6l7pbuh+537mfuVu5G7jjuKu4d7g/t/+3u7dzty+287bPtsO217cDtz+3g7fDt/e4G7gvuC+4H7f/t8u3e7cTto+187VTtLu0P7Pzs9uz+7RHtKu1F7VvtaO1r7WPtUu097SbtEu0C7Pbs8Ozt7O3s7+zx7PPs9ez07PHs6uzf7NHswOyw7KXsoOyl7LTsyezk7P3tD+0Y7RTtA+zp7Mnsp+yJ7HHsYOxU7E3sRuw+7DPsJuwW7Afr+evu6+Tr3OvU68nruuuo65Hreetg60nrNuso6x3rFesP6wnrAur56u/q4+rY6szqwuq36qzqouqW6orqfepw6mPqVupK6kDqNuos6iTqHOoV6hDqDeoL6grqCOoG6gLp++ny6efp3OnS6cvpyOnK6dLp3ent6f/qEuol6jjqSepY6mXqcOp56n/qguqD6oPqgep+6nvqeOp16nTqdep36nrqgOqI6pDqmuqi6qrqsOq16rfqueq76r3qwerG6szq0urY6t3q4erk6ufq6urv6vbq/usI6xDrGOsd6yDrIesg6x/rH+sg6yTrKesw6zfrQOtI60/rVutd62LrZ+tq62vra+tp62frZetk62Xraetv63jrg+uP65zrqOu067/ryuvU697r5+vw6/nsAOwH7A7sFOwa7CHsKOww7DfsPuxE7EnsTOxO7E7sT+xP7FDsU+xX7F3sZuxw7H7sjeye7LDswuzU7OXs9e0E7RLtIO0u7T3tTu1f7XLthO2X7ajtue3I7dft5e3y7f/uDO4Y7iPuLu457kTuTu5Z7mTub+567oTujO6R7pTule6U7pPuk+6V7pruou6t7rruye7Y7ubu9O7/7wnvEe8Y7x7vJO8q7zLvPO9H71TvY+9z74Xvlu+o77nvye/Z7+nv+PAI8BjwKvA88FHwZvB88JPwqvDB8Nnw7/EF8RvxL/FD8VXxZ/F48Yjxl/Gl8bLxvvHJ8dTx3vHo8fPx/fIG8hDyGfIi8ivyNPI88kXyTvJX8mDyaPJw8nnygfKK8pPynfKn8rHyu/LF8s/y2PLi8uzy+PME8xDzHfMq8zbzQfNM81bzYfNs83nziPOX86jzufPK89vz7PP99A/0IvQ29En0XPRu9H/0jfSb9Kn0t/TF9NT04/Tw9Pz1BvUO9RX1HPUm9TH1QPVR9WP1dfWE9Y/1l/Wd9aH1pvWt9bf1w/XQ9dz15/Xw9fb1+/YB9gj2EvYe9iz2O/ZK9lf2ZPZv9nv2iPaW9qb2tvbF9tX24/by9wH3E/co90D3W/d495T3rvfF99f35/f2+AT4Evgj+DT4RfhU+GL4bPh2+H/4iviZ+K34x/jm+Qj5LPlQ+XL5kPmr+cL51vno+fn6Cvoc+i/6Q/pZ+m/6hvqd+rT6yfre+vL7Bvsc+zL7Svtj+3z7lPus+8H71fvn+/r8Dfwh/Df8Tvxm/H78l/yv/Mf83/z4/RH9K/1G/WL9ff2a/bf91v33/hz+Q/5t/pf+wP7l/wX/Hv8y/0H/Tf9Z/2j/ff+Y/7v/5gAZAFIAkQDTARkBXgGiAeICHgJTAoMCrgLUAvgDHAM/A2EDggOiA70D1APlA/MD/QQGBA8EGAQjBC0EOAREBFAEYAR1BJAEswTcBQkFNQVcBXcFhQWDBXYFYAVHBTEFIQUaBRgFGwUcBRoFEgUEBPME5ATbBNsE5gT7BRgFOQVZBXcFjgWdBaUFpAWcBYwFdQVVBS4FAwTUBKYEfARZBD0EKQQbBBIECwQGBAED/AP5A/cD9wP3A/gD+AP2A/MD7gPpA+QD4gPjA+YD6wPwA/UD+QP7A/4EAQQGBA4EGQQlBDEEPQRFBEoETARMBEkERQRBBD0EOAQ0BC8EKgQkBB8EGQQUBA4ECAQBA/oD8wPtA+cD4gPfA90D3APaA9cD0wPOA8gDwQO8A7gDtwO4A7sDvwPCA8QDxQPDA78DuQOyA6sDowObA5MDiwODA3sDdANsA2UDXQNVA0wDRAM9AzUDLgMnAyEDGwMVAxEDDQMKAwgDBgMGAwYDBgMFAwUDAwMBAv4C+wL3AvMC7gLqAuYC4gLeAtoC1gLSAs4CywLJAsUCwgK+ArkCswKtAqgCogKfAp0CnAKeAqACpAKoAqwCsAK0ArkCvwLGAs0C1ALbAuEC5ALmAucC5wLnAugC6gLtAvEC9AL3AvcC9wL0AvEC7gLsAusC7QLxAvcC/wMHAxEDGwMlAzADPANIA1QDXwNpA3IDewOEA40DlgOhA60DugPIA9YD5APyA/8ECwQWBCAEKQQwBDYEPARBBEYETARUBF8EawR4BFEEWwRmBHIEfgSNBJ8EtgTQBOwFCQUjBTkFSQVSBVUFUwVQBU4FTwVUBV0FawV8BY4FoAWwBb4FyQXSBdcF2wXeBeIF5gXuBfgGBgYXBikGOwZLBlcGXwZhBl8GWgZWBlMGUwZXBl4GZgZtBnIGcQZsBmMGVwZJBj0GMgYqBiYGJAYlBigGLAYwBjUGOwZABkcGTQZSBlcGWwZeBl8GXwZfBl4GXAZZBlYGUQZLBkQGPAY0Bi0GKAYlBiUGKQYvBjkGRAZPBlsGZgZxBnwGhgaSBp4GrAa7BsoG2AbnBvQHAgcRByEHMgdFB1YHYgdoB2UHWQdGBzEHIAcbBycHRwd7B78ICghUCJIIvwjWCNoIzwi9CKwIoAifCKYItAjDCNEI2AjZCNUI0AjMCM4I1gjlCPcJCwkdCS0JOwlHCVMJYgl1CYwJqAnFCeMKAAobCjIKRgpXCmMKagptCmwKZwphClwKXgpoCn0KnQrICvwLMwtsC6IL1QwDDC0MUgxzDI8Mpgy3DMIMyAzMDNMM4Az5DR8NVQ2YDeUONw6IDtMPFg9PD30Pog/AD9YP4w/nD94Pxw+gD2gPIw7UDn8OKg3aDZENUg0eDPIMzgyuDJIMdgxbDEEMKAwRC/wL6QvXC8YLswueC4cLbQtRCzYLHQsGCvIK4ArOCrgKnQp8ClYKLQoECeAJxAmyCakJpQmiCZsJjAl0CVIJLAkHCOoI2QjYCOYJAQkiCUMJYAl1CYEJhgmHCYcJiQmOCZQJmQmYCY8JeQlXCSgI8AixCG8ILQfvB7cHhAdZBzMHFAb6BuQG0gbDBrcGrQamBqIGoAafBqAGnwacBpQGhgZzBl0GRgYyBiMGHQYeBiYGMQY6Bj4GOQYrBhQF9wXaBb4FqAWZBY8FhwV/BXIFXwVDBSAE+ATOBKUEgARhBEcEMgQfBA4D/APoA9EDtwObA30DXwNBAyYDDQL3AuQC0wLAAqwCkgJyAkwCHwHuAb0BjQFjAUABJAEOAPoA5gDMAKsAgQBOABb/3P+k/3T/TP8v/x3/E/8Q/xH/FP8a/yH/Kv81/0L/Tf9V/1X/S/8z/w3+2v6d/lv+GP3Y/Z79a/09/RP86vzA/JL8Yvwy/AP72fuz+5P7dvta+zz7Gfrw+sH6j/pd+i36Avne+cH5qvmW+Yb5dvlm+Vf5Sfk9+TT5Lvkq+Sf5JPke+RT5Bvjz+Nv4vfiY+G34OvgC98T3hfdG9wz22Pas9on2a/ZS9jn2HvX/9d71uvWZ9X31afVf9V71ZvVy9X/1iPWL9Yb1ePVi9Ub1JvUF9OX0yPSu9Jf0gvRv9F30SvQ49CX0EfP+8+vz1/PB86jzh/Nd8yny6fKg8lDyAfG48XvxUfE78TrxS/Fo8YzxsPHN8eHx6fHm8dvxyvG18Z/xifFy8VnxPvEh8QPw5fDK8LXwp/Ch8KHwpvCs8K/wrvCl8JfwhPBv8FvwSvA98DTwLvAo8CHwGPAM7/3v7u/g79Lvxu+6763vnO+H727vUe8y7xPu+O7f7srutu6i7ovucu5U7jTuE+3z7dftvu2p7Zbtg+1w7VztSO027SntIu0i7SrtOO1I7Vntae107XztgO2B7X/tfO127W3tX+1P7TvtJ+0W7QrtBu0L7RntK+1A7VLtXe1g7VntSe0x7Rbs+ezd7MTssOyh7Jfsk+yT7Jfsneyj7KbspOyc7I3seuxk7FHsROxA7EjsW+x17JLsrezA7Mnsxey37KHsh+xs7FXsQewx7CPsFewG6/Pr3+vK67frpuua65LrjeuJ64Xrfetx62HrTus66ybrFesG6vvq8urp6uHq1+rL6r7qsOqi6pbqi+qD6nzqdupw6mrqYupY6k3qQOoy6iPqFOoG6fnp7enk6dzp1unS6c7py+nH6cLpvOm16a3ppOmc6ZPpjOmF6YDpfel86X7phOmN6Zvpq+m+6dLp5On26gTqEOoa6iHqJuor6i/qMuo16jfqOeo66jzqP+pE6kvqVOpe6mjqcOp26nrqfOp96n/qgeqF6ozqk+qa6qHqpuqp6qvqrOqt6rDqtuq+6sjq0+rd6uXq7Orw6vLq9Or06vbq+Or76wDrBusN6xXrHesl6yzrMus36znrOus46zTrMesu6y3rMOs26z/rSutW62TrcOt864frkeub66Trreu1673rxOvK68/r0+vY697r5uvv6/nsA+wM7BTsGuwd7B7sHewc7BvsHOwg7CXsLew37EPsUOxf7G7sfuyO7J/ssOzC7NLs4+zz7QPtE+0j7TTtRe1X7Wnteu2L7Zvtqu247cXt0O3c7eft8u397gjuE+4e7ijuMu467kDuRe5J7kzuT+5R7lTuWe5e7mbub+557obuk+6i7rDuv+7N7tru5u7x7vvvBO8O7xjvI+8w7z7vTu9g73Hvg++U76Xvte/F79Xv5O/08AXwFvAq8D7wU/Bq8ILwmvCy8Mrw4fD38QvxHvEw8ULxUvFi8XHxgPGP8Z3xqvG38cLxzfHW8d/x5/Hv8fbx/fIE8gvyE/Ic8ibyMPI68kTyTvJW8l7yZfJs8nPye/KD8o3ymPKj8q/yu/LG8tHy3PLn8vLy/fMJ8xXzIfMu8zzzS/Na82rzevOK85nzqfO488fz1/Pn8/n0DfQh9DX0SfRd9G/0f/SO9J30q/S59Mb00/Td9OX06/Tw9PT0+fUA9Qv1GfUq9Tz1TvVf9W31d/V/9YX1ivWQ9Zf1n/Wn9bD1uPW/9cX1y/XT9d316fX39gf2F/Yn9jb2Q/ZP9lv2Z/Z09oH2jvac9qr2ufbJ9tv27/cH9yH3PfdZ93T3jfei97P3wvfQ99737vgB+BT4Kfg8+E34XPho+HP4fviL+J34tPjR+PL5Ffk6+Vz5fPmX+a75wfnS+eL58/oH+h36NvpS+m76ivqk+rv6zvrf+u/6/vsP+yP7OvtU+3D7jPun+7/71Pvm+/b8BfwU/CX8N/xL/GH8ePyQ/Kr8xPzf/Pv9GP01/VL9b/2K/ab9w/3h/gP+KP5R/nz+qP7R/vb/Fv8v/0P/VP9j/3b/j/+v/9gACwBFAIUAxwEJAUgBggG2AeQCDAIxAlUCeQKfAsgC9AMhA0wDcgOTA6sDuwPEA8gDygPMA9AD1wPhA+wD+AQDBA8EHAQtBEMEYASEBKwE1QT6BRYFJQUnBR0FCgTzBNwEywTABLsEuwS8BLsEtwSvBKYEnQSYBJsEpgS5BNIE7wULBSUFOQVGBUsFSAU8BSgFDAToBL4EkQRjBDYEDwPvA9cDxgO8A7UDsgOvA6wDqgOpA6kDrAOvA7QDuAO7A7wDuwO3A7QDsAOuA60DrwOwA7MDtQO4A7sDvwPFA80D2APkA/ED/AQGBA0EEQQSBBAEDQQJBAUEAAP8A/kD9QPxA+4D6gPlA+AD2gPUA8wDwwO7A7MDrAOnA6MDoAOdA5oDlgOSA40DiAOFA4IDggOEA4gDjQOSA5YDlwOXA5QDjwOIA4ADeANwA2gDYANaA1QDTgNJA0MDPQM2Ay8DJwMfAxcDDwMHAwAC+QLzAu4C6gLnAuUC4wLiAuIC4gLiAuEC4ALeAtoC1gLRAssCxAK9ArcCsQKrAqcCpQKkAqQCpAKkAqQCowKgAp0CmAKUApECjwKPApACkwKXApsCngKhAqQCpwKqAq8CtQK9AsUCzgLUAtoC3ALdAtwC2wLbAtwC3gLgAuQC5gLnAuYC4wLeAtkC1ALSAtEC1ALZAuEC6gL1AwADDAMYAyUDMQM8A0cDUQNZA2ADZwNuA3UDfgOJA5YDpAOzA8MD0wPjA/IEAAQMBBYEHgQkBCgEKQQqBCsELAQwBDUEPQRHBEUETwRaBGQEbwR7BIkEmwSvBMYE3QT0BQYFFQUeBSIFIgUhBSEFIwUqBTUFRAVWBWoFfgWSBaMFsgW9BcYFzAXQBdMF1gXaBeEF6wX3BgYGFgYkBjAGNwY4BjQGLQYjBhoGFAYTBhcGHwYqBjYGQAZGBkgGRAY8BjEGJQYaBhEGDAYLBg0GEQYYBh4GJAYpBi0GMAYyBjMGNAY1BjYGNwY3BjYGMwYuBigGIQYZBhEGCQYDBf8F/QX+BgEGBgYOBhcGIgYtBjgGRAZRBl4GawZ6BooGmwarBrwGzAbaBucG8wb/BwsHFwcjBy0HNAc1BzIHKQceBxUHFAcfBzoHZwejB+kIMQhyCKQIwgjMCMMIrwiXCIIIeAh8CIsIowi/CNcI6AjwCPAI6gjjCOAI5AjwCQQJHQk7CVgJdAmNCaMJtgnHCdgJ6An4CgcKFAogCikKLwoxCjAKKgoiChkKEAoMCg8KHQo3Cl4KkArLCwsLSguFC7kL5gwLDCsMSAxkDIAMmwy2DM4M5Qz4DQoNHg02DVYNfw2zDfEONg6ADsoPEg9UD48PwQ/pEAYQFxAaEA8P8g/FD4YPOg7jDocOKg3TDYUNRA0QDOgMywy1DKMMkQx+DGkMUgw5DCEMCgv0C+ALzAu4C6QLjgt5C2ULUwtECzgLLQsjCxULAQrnCsYKoAp5ClUKNwohChMKCwoFCfsJ6gnRCa4JhglfCT0JJgkdCSIJMwlLCWUJfQmOCZgJnAmbCZgJlgmTCZAJigl9CWgJSgkhCPEIugiCCEoIFQflB7oHkwdyB1UHPAcoBxoHEAcNBw4HEwcZBx8HIwcjBx0HEAb7Bt8GvgaaBnUGVQY7BioGIgYiBikGMQY4BjgGMQYhBgkF7wXTBbsFqQWcBZQFjQWDBXMFWAUzBQQEzgSXBGMENwQWBAID+QP7BAEECQQOBAwEAQPtA9EDsQORA3QDXgNRA0sDSwNLA0cDOgMgAvcCwgKFAkYCCgHYAbEBlwGEAXYBZAFKASMA8AC0AHMANP/+/9T/t/+m/5z/lf+L/3v/Zf9K/y7/FP8B/vf+8v7w/uv+3v7C/pf+XP4W/cv9gf09/QP80/yt/Iz8bfxM/Cn8Avvc+7b7lPt3+177R/sw+xX69frO+qH6cvpC+hX57PnI+af5ifls+U75MfkU+Pv46Pjb+Nf42vjk+PH5AfkR+R75KPkr+SX5Ffj4+Mv4jfhB9+n3i/cu9tn2kPZZ9jL2GfYI9fr16vXS9bT1kPVr9Ur1MPUi9R71IvUq9TL1NfUw9SL1DvT29N30xvS19Kn0ovSe9Jr0lPSK9Hz0afRT9Dv0IvQI8+3z0POw84zzYvMy8vvyvvJ98j3x//HJ8Z7xf/Fv8WzxdPGD8ZbxqfG58cPxyPHH8cHxuPGu8aLxlPGE8XDxV/E78Rvw+fDZ8LzwpfCT8IjwgfB98HjwcfBo8FzwT/BE8DvwNvA28DrwP/BE8EXwQ/A78DDwIfAP7/3v6e/S77nvne9+713vPO8d7wLu6+7Z7sjut+6i7obuYu427gbt1e2m7X3tXO1C7S/tH+0Q7QDs7uzb7Mnsuuyx7K/ss+y87Mjs1Ozf7Ofs7ezx7PTs9+z67Pzs/Oz67PXs7ezl7N3s2OzY7Nzs5ezx7P7tCe0R7RPtD+0F7PTs3+zG7Kzskex47GPsVOxK7EfsSexO7FPsVexT7ErsOuwl7A/r++vt6+nr7uv87BHsKew/7FHsXexh7F/sWOxO7EHsM+wj7BHr/Ovk68nrreuT63vraOtb61PrT+tN60vrRus+6zPrJusX6wnq++rw6uXq2+rR6sTqteql6pPqgOpw6mHqVupO6kjqRepB6j3qN+ov6iTqGOoL6f3p7+ni6dXpyum/6bTpqemf6ZXpjOmE6X7peul56Xnpeul76Xnpc+lo6VnpSOk16SPpFukP6Q/pFeki6TPpRelY6WnpeumK6Zrpqum86c/p4Onw6f3qBuoK6gvqC+oK6gvqD+oV6h3qJ+ov6jbqPOo/6kLqRepJ6k/qVupe6mXqa+pv6nHqcepw6nHqdOp56oHqjOqX6qPqruq36r7qw+rH6srqzOrP6tLq1erZ6t/q5ers6vTq+usA6wPrBesE6wHq/ur76vvq/OsB6wnrEusd6yfrMes660LrSutS61rrZOtt63frf+uH64zrkeuU65jrneuk663rtuvA68rr0+va69/r4+vn6+vr8Ov36/7sB+wQ7BnsIuwr7DXsQexO7Fzsbex+7JDsoeyy7MHsz+zd7Ozs/O0N7R/tMe1E7VbtZ+117YLtje2Y7aLtru267cbt0+3g7ezt9e397gPuB+4K7g7uEe4W7hzuI+4r7jTuPu5I7lPuX+5s7nruiO6Y7qfutu7G7tXu4+7y7wHvEO8f7y/vP+9P717vbe9874rvmO+n77fvx+/Z7+zwAPAV8CvwQvBZ8HHwiPCg8LfwzvDj8PbxCPEZ8SnxOPFG8VXxY/Fx8X/xjfGb8afxs/G98cbxz/HW8dzx4vHo8e7x9fH+8gfyEfIb8iXyL/I48kDyR/JP8lbyX/Jp8nTygPKN8pryp/Ky8r3yx/LQ8try5PLw8v3zDPMc8y3zPvNP82DzcPN/843zm/Oo87Xzw/PT8+Tz9vQK9B/0NPRI9Fz0b/SB9JH0oPSu9Lv0xfTN9NT02PTb9N704fTm9O70+fUG9Rb1JvU29UT1UfVc9WX1bPVx9Xb1evV+9YL1hvWL9ZL1nPWn9bX1xvXY9er1+/YL9hr2J/Yz9j72SvZV9mL2b/Z99oz2nfaw9sX23vb59xb3M/dP92j3fveP9533qPez98D3zvff9/P4CPgc+DD4QvhS+GH4cfiC+Jf4r/jL+Or5Cvkp+Uf5Yfl4+Yz5nvmv+cL51vnu+gr6KfpJ+mr6ifql+rz6zvrc+uj68/sA+xD7JPs9+1j7dfuS+637xPvY++n7+PwH/Bb8Jfw3/Er8Xvx0/Iv8o/y9/Nj89f0T/TL9UP1u/Yz9qf3H/eb+B/4q/lD+eP6g/sn+7/8T/zX/V/94/53/xf/0ACgAYQCdANgBEQFEAXABlAGwAcgB3wH4AhcCPQJrAqAC2AMQA0MDbQOKA5sDoAOdA5YDjgOKA4sDkwOfA60DuwPIA9ID3APmA/MEBgQgBD4EXwSABJoErQS1BLMEqQSbBIwEgAR3BHMEcgRyBHIEbwRrBGcEYwRiBGYEcASABJQEqwTBBNUE5QTvBPEE7ATfBMkEqwSGBFsELQP/A9UDsAOTA38DcgNsA2kDZwNmA2QDYgNgA2ADYgNmA2wDcgN4A30DfwOAA38DfQN7A3oDewN8A34DfwOCA4QDiAONA5QDnQOnA7MDvgPJA9ED1wPZA9kD1wPUA88DygPFA8EDvAO3A7MDrwOqA6YDogOdA5gDkwOPA4oDhQOBA30DeQN1A3EDbQNoA2QDYANdA1sDWwNbA10DYANiA2QDZANiA18DWgNTA0sDQwM7AzMDLQMoAyMDIAMdAxsDFwMUAw8DCQMCAvsC8wLrAuQC3ALWAtACzALHAsQCwQK/ArwCugK4ArYCswKxAq0CqQKkAp8CmQKTAowChgKBAn4CfAJ7AnwCfgKBAoMChAKEAoQCgwKDAoQChgKKAo8ClAKaAp8CogKlAqcCqQKrAq4CswK5Ar8CxQLJAswCzQLMAssCygLJAsoCzALOAtAC0gLRAs8CywLHAsMCwALAAsICxwLOAtgC4gLuAvoDBgMTAx8DKgM1Az4DRgNNA1MDWANfA2YDbwN6A4cDlQOlA7UDxgPXA+cD9gQEBBEEGwQiBCYEKAQoBCcEJwQpBC0EMwQ7BFIEXARmBHAEeASABIkEkwSfBK0EvATMBNsE5wTxBPgE/AUABQQFCQUSBR4FLQU/BVMFaAV9BZEFowWyBb0FxQXJBcsFywXLBc0F0wXcBekF+QYKBhkGJAYpBiYGHQYPBf8F8QXmBeIF5gXvBf4GDQYcBiYGKwYpBiIGFwYLBgAF+AX0BfQF9wX9BgMGCQYNBhAGEgYTBhMGFAYVBhcGGAYYBhYGEgYNBgYF/gX2Be8F6gXmBeQF5AXlBecF7AXyBfoGBAYPBh0GKwY7BksGWgZqBnkGhwaVBqMGsQa+BswG2QbmBvMG/wcKBxIHGAcaBxkHFwcXBxwHKgdGB28HpgfnCCwIbQijCMgI1wjSCL0InwiACGoIYghsCIUIqQjTCPkJFwkpCS8JKgkhCRgJFQkbCS0JSAlsCZIJuQncCfgKDAoZCh8KIAodChgKEgoLCgQJ/AnzCegJ3QnRCccJwQnECdEJ6woUCkkKigrQCxgLWwuVC8QL5gv+DA4MGwwqDD0MVgx3DJ0MxwzyDR0NRw1uDZUNvA3mDhQORw6ADrwO/A89D3wPtg/oEA4QJxAuECMQBA/RD44PPA7gDoEOJQ3PDYYNSg0eDP8M6wzeDNQMyAy6DKcMkAx3DF0MRAwtDBcMAwvwC9sLxguvC5kLhQtzC2ULWgtRC0gLOwsqCxQK+QrcCsAKpwqTCoUKewpxCmQKUQo3ChUJ7gnGCaMJiAl3CXIJdgmACYoJkgmTCY4JgglzCWEJTwk8CSkJFAj8CN4IuwiUCGoIQQgZB/YH2Ae+B6gHkwd/B2sHWAdJBz0HOAc5B0EHTQdbB2gHcAdwB2YHUgc1Bw8G5ga7BpMGcAZVBkIGNwYyBjEGMAYsBiMGFQYDBe4F2QXGBbgFrwWqBacFogWXBYIFYQUzBPsEvAR9BEMEFAP0A+YD6gP7BBYEMgRKBFgEWQRLBDEEEAPuA9EDwAO8A8UD1gPqA/YD9QPhA7cDegMwAuEClgJXAigCCQH1AecB1gG8AZUBYQEjAOMApwB3AFYAQwA8ADgAMgAiAAX/2v+n/2//O/8P/u7+1/7F/rP+mv50/j/9/P2w/WD9FPzR/Jv8cfxR/Df8IPwH++z7zvuu+5D7dftc+0b7MPsY+vz62vqz+on6X/o2+hH58PnR+bL5kflt+Ub5HPjz+M/4s/ii+J34o/i0+Mz46fkI+Sf5QvlX+WP5YPlK+R/43fiF+Bz3q/c69tP2ffY+9hT1/vXy9ev14fXO9bL1kPVq9Uj1LPUb9RP1EfUR9Q31AvTv9NX0tvSa9IP0d/R29H70jfSe9Kz0tPS09Kz0m/SG9G30UfQz9BHz6/PA847zWPMd8uLyqfJz8kXyH/IB8ezx3fHT8c3xyfHG8cPxwPG98bnxtfGx8a3xqPGj8Z3xlfGJ8XrxZvFN8S/xDvDs8MnwqfCN8HTwX/BO8D/wMvAm8BvwEvAM8ArwDPAR8BrwJfAv8DjwPvA/8D3wNfAp8BfwAO/k78Pvnu9371DvLO8M7vTu4+7W7svuvu6p7oruYO4r7fDttO177UvtJu0M7P3s8+zs7OLs1ezD7K3sluyB7HDsZexg7GHsZuxu7HXsfeyD7Insj+yU7Jnsneyf7J/sm+yV7IzshOx87Hjsd+x77ITskOye7KzsuezC7MTswOy17KLsiexr7E3sMOwY7Abr/Ov46/rr/ev/6/3r9uvo69frw+uv65/rleuS65broOuw68Lr1evn6/fsBOwM7BDsDOwD6/Pr3uvD66fri+tx61vrS+s/6zjrNOsv6ynrIesX6wrq/Orv6uTq2erQ6sjqvuqy6qPqkep86mfqUuo/6i/qI+oa6hTqD+oJ6gPp++ny6efp2+nP6cXpu+mz6avppOmb6ZDpg+l06WXpV+lM6UbpRulM6VfpZOlw6Xjpeely6WDpR+kp6Qno7OjU6MTou+i56LzowujK6NPo3ejq6PvpEeks6UzpbemN6anpvunM6dPp0+nR6c7pzOnO6dPp2+nk6ezp8+n56f3qAOoD6gjqD+oW6h/qJ+ot6jLqNeo36jjqOuo96kPqSupT6l3qaOpz6n3qh+qP6pfqneqj6qfqququ6rHqteq56r7qxOrI6szqzurO6szqyerH6sXqxurJ6s7q1Orb6uLq6eru6vTq+esA6wjrEusd6ynrNes/60brS+tO61DrUutV61rrYetp63Lre+uF64/rmOui66zrt+vC683r2Ovi6+rr8ev46//sB+wS7B/sLuw/7FDsYexw7H7siuyV7KHsruy97M/s4uz17QjtGu0p7TbtQu1N7VjtZe1y7YHtke2g7a7tuu3D7crtzu3S7dbt2u3f7ebt7u337gDuCu4U7h/uKu437kXuVO5k7nbuiO6a7qzuvu7Q7uLu9O8F7xbvJu8270TvUe9e72vvee+I75nvrO/B79fv7fAE8BvwMvBI8F7wdPCK8J/ws/DH8Nrw7PD98QzxG/Ep8TfxRfFT8WHxb/F88YnxlfGg8arxs/G78cLxyfHP8dXx2/Hj8erx8/H78gTyDfIV8h7yJ/Iw8jryRvJT8mDyb/J+8ozymPKk8q/yuPLC8s3y2PLl8vTzBPMV8ybzN/NH81fzZvN184PzkfOe86zzuvPI89fz5vP39An0HPQw9EP0V/Rq9Hv0i/SZ9KT0rfS19Lv0wPTE9Mj0zPTR9Nb03vTm9PD0/PUI9Rb1I/Uv9Tr1Q/VK9U/1UvVU9Vb1WvVg9Wr1d/WI9Zr1rvXC9dX15/X29gT2EfYe9iv2OPZG9lX2ZPZz9oP2lfao9r/22fb09xL3L/dK92L3dveG95L3nPem97L3v/fP9+L39vgK+B74MfhE+Ff4avh/+Jb4r/jK+Ob5Afkc+TX5TPlh+XT5hvma+a75xfne+fr6GPo3+lf6dfqQ+qj6vPrN+tr65/r0+wP7Ffsq+0L7XPt2+4/7pvu6+8z73Pvs+/v8C/wc/C78QPxT/Gb8evyQ/Kj8wvzg/QD9I/1G/Wn9jP2s/cv96f4H/ib+SP5s/pP+vv7s/xz/T/+F/7z/9QAvAGoApADbAQwBNgFYAXEBgwGRAZ0BrQHEAeUCEQJIAoUCxAL/AzIDWANvA3cDcwNoA1oDTwNKA00DVgNkA3QDgwOOA5YDmwOfA6UDrwO/A9QD7AQFBBwELgQ6BEAEQAQ9BDkENgQ1BDQENQQ0BDIELwQqBCYEJAQlBCwENwRHBFoEbgSABJAEmwSgBJ8ElwSHBG8EUAQqA/8D0gOmA30DWgNAAy4DJAMhAyIDJAMmAycDJwMnAycDKAMrAzADNgM8A0EDRQNIA0kDSQNJA0oDSwNMA04DTwNQA1EDUgNVA1oDYANpA3MDfgOIA5EDlwOaA5sDmQOWA5EDjQOIA4MDfwN7A3cDcwNvA2wDaQNnA2YDZANjA2EDXwNcA1kDVQNRA00DSANEA0ADPQM6AzgDNgM0AzIDMAMuAy0DKgMnAyQDIAMbAxUDDgMHAwAC+QLzAu8C6wLoAuUC4wLhAt4C2gLUAs8CyALBAroCtAKuAqkCpAKgAp0CmgKWApMCjwKLAocChAKBAn4CewJ5AnYCdAJxAm0CagJmAmQCYgJhAmICYwJmAmgCbAJuAnICdQJ4AnwCgQKHAo0CkwKZAp4CogKlAqcCqAKqAqwCrgKxArQCtgK3ArgCtwK3ArYCtQK2ArcCuAK6ArsCugK5ArYCswKwAq4CrgKwArQCuwLDAs0C1wLjAu4C+gMGAxIDHgMoAzIDOgNBA0gDTwNWA18DaQN0A4EDjwOeA60DvQPNA90D7QP9BAwEGQQkBCwEMAQyBDIEMwQ1BDkEPwRHBFUEYARpBHEEdwR8BIEEhgSNBJUEoASsBLkExQTQBNoE4gTpBPEE+QUCBQ4FHQUuBUEFVgVsBYEFlAWmBbMFvAXBBcIFwAW+Bb4FwQXKBdkF7AYCBhcGKAYxBjEGKAYWBf8F5wXSBcMFvQXBBcwF3QXwBgEGDQYUBhMGDgYEBfoF8AXpBeQF4wXjBeUF5wXqBesF7QXwBfMF9wX8BgAGAwYFBgMGAAX6BfMF7AXmBeEF3gXcBdwF3AXdBd4F4QXmBe4F+QYHBhcGKQY7BkwGWwZoBnIGewaDBowGlgaiBrAGvwbPBt4G7Ab4BwEHBwcLBxAHFgchBzQHUgd7B68H7AgvCHAIqgjWCO8I9AjlCMkIpwiGCHAIagh3CJYIwgj1CScJUQluCX0Jfwl3CW0JZQllCXAJhQmjCccJ6woLCiMKMgo3CjIKJgoWCgMJ8QnhCdQJyQm/CbgJsQmrCacJqAmwCcEJ3QoGCjsKeQq+CwMLRAt8C6cLxgvYC+IL5wvtC/sMEgw2DGcMoQziDSUNZQ2gDdMN/Q4iDkMOZQ6KDrQO5g8dD1gPkw/JD/MQDxAXEAoP6A+xD2sPGA7ADmkOFg3ODZMNZQ1EDS4NHw0UDQoM/AzsDNcMwAyoDJEMewxoDFcMRgwzDB4MBQvqC80LsQuXC4MLcwtnC14LVQtJCzoLJwsSCvwK6ArXCsgKvAqwCqEKjQpyClEKLAoGCeQJxwm0CagJowmhCZ4JlgmICXEJVQkzCQ8I7AjKCKkIighrCEsIKwgLB+wH0Qe6B6gHmgeOB4MHdwdnB1UHQgcwByIHGwccByYHNgdKB1wHaQdtB2cHVAc4BxQG7AbEBp8GgAZmBlMGRQY6Bi8GJAYVBgUF8wXgBc4FwAW1BbAFrgWuBa0FqAWbBYQFYQUyBPkEuwR8BEMEFQP3A+wD8wQJBCkETARrBH8EhAR5BGEEQQQgBAYD+QP9BBEELwRQBGoEdARnBEAEAgO0A14DDALFAo4CaAJQAj4CKwIQAegBtQF6AT0BBwDdAMIAtQCxAK8ApwCSAG4AO//9/7r/e/9D/xb+8v7T/rT+jf5b/hz90/2E/TT87Pyu/H78Wvw//Cr8FvwB++n7z/u0+5r7hPtv+1v7Rvst+w/67frH+p/6evpY+jv6IPoH+ez5y/ml+Xj5SfkZ+O/4zvi4+K/4s/jB+Nf48vkQ+S35Svlh+XD5cvli+Tz4//it+En33Pdu9wr2t/Z59lH2O/Yu9iX2GPYE9eb1w/We9X31ZPVV9U71S/VG9Tr1JfUG9OH0uvSZ9IH0ePR99I70pvS+9NL03vTg9Nn0yvS39KH0iPRs9Ev0IvPy87nzevM48vnywPKS8m/yV/JK8kLyPfI38i7yIvIT8gHx8PHh8dPxyPHA8brxtPGu8ajxoPGX8YvxfPFp8VHxNfEV8PPwzvCq8IjwafBP8DnwKPAb8BLwDPAI8AbwBvAJ8A7wFfAd8CXwLfAy8DPwMPAn8BfwAO/i777vlu9s70PvHe7+7ubu1e7I7rzure6X7nbuSe4T7dftmO1f7S7tCezx7OTs3+zd7Nnsz+y+7KXsiOxo7ErsMuwg7BbsFOwX7B7sJ+wv7DbsPOxA7ELsQ+xC7EDsPew47DLsK+wl7CDsHuwg7CfsM+xE7FjsbuyD7JTsnuyf7JXsguxm7EPsHuv769zrxOu066zrq+ut66/rr+uq66Drket962jrVOtD6zjrM+s260DrUetm633rlOun67Xru+u566/rn+uK63PrXutM6z7rNOsu6ynrJOsc6xHrAury6uDqz+rA6rTqq+qk6p3qlOqI6njqZepP6jnqJOoR6gLp9unt6ebp4OnY6c/pxem46avpn+mU6YzphemA6XzpeOlx6WfpW+lM6TzpLukk6SHpJekx6UPpWelt6X3phemB6XLpWOk36RLo7ujN6LHonOiM6IDoduhu6GfoYuhi6GnoeOiR6LLo2OkB6SjpSulk6XbpgemG6YjpiemM6ZHpmOmg6anpsOm16bnpvOm/6cLpx+nO6dbp3+no6fHp+On+6gLqBeoI6gzqD+oU6hrqIeoq6jXqQepN6lrqZepw6nnqf+qE6ojqi+qN6pDqlOqX6pnqmuqa6pjqlOqR6o3qi+qM6o7qkuqX6pzqouqm6qvqsOq16r3qxurR6tzq6Ory6vrrAOsD6wXrBusI6wrrDusU6xvrJOst6zfrQutO61rraOt264Trkeud66jrseu668LrzOvX6+Xr9OwE7BXsJOwy7D7sSOxR7FrsZexy7IHskuyk7LfsyOzY7Obs8+0A7Q3tG+0r7TvtTe1e7W7te+2G7Y/tle2b7aDtpe2r7bLtuu3C7cvt1e3g7evt+O4G7hbuJ+457kzuX+5y7oXul+6q7rzuzu7g7vHvAu8S7yHvMO8+703vXe9v74PvmO+v78bv3u/18AzwIfA18EnwXPBv8IHwlPCn8Lnwy/Dc8O3w/fEM8RvxKvE58UfxVfFi8W/xe/GG8ZHxm/Gk8azxtPG88cPxy/HS8drx4fHp8fDx+PH/8gfyEPIa8iXyMvJB8lDyYPJv8n7yi/KX8qPyr/K78sfy1fLk8vPzA/MS8yHzL/M980zzWvNq83rzi/Ob86vzuvPG89Lz3fPo8/T0AvQS9CP0NvRI9Fr0afR29ID0ifSQ9Jb0nPSj9Kr0sfS39L30w/TI9M701fTe9Oj09PUA9Q31GPUh9Sj1LfUx9Tb1PPVG9VP1ZPV39Yz1oPW09cX11PXi9fD1//YO9h/2MvZE9lb2Z/Z29oX2k/aj9rb2zPbk9v/3Gvc19033Yvdz94L3j/ec96n3uPfJ99z37vgC+BT4J/g5+Ez4YPh1+I34pvjA+Nv49fkP+Sj5QPlX+W35g/mZ+a75w/nZ+e/6Bfod+jb6UPpp+oL6mvqv+sP61frl+vb7B/sZ+yz7QftW+2z7gPuT+6T7tfvF+9X75vv4/Ar8HPwu/D/8Ufxj/Hf8j/yr/Mv87/0V/T39ZP2I/an9x/3j/f7+G/49/mP+kf7E/v3/O/97/7v/+wA4AHEApQDTAPoBGgEyAUUBVAFiAXEBhgGkAcsB+wIzAm8CqgLeAwkDJgM2AzoDNAMqAyADGgMaAyADLAM6A0kDVQNeA2MDZQNoA2wDdAOAA5ADoQOzA8IDzgPVA9oD3QPeA+ED5QPpA+0D8APvA+sD5QPeA9gD1gPZA+QD9AQIBB8ENQRIBFYEXgReBFcESQQ0BBgD9wPRA6gDfQNTAy0DDgL1AuUC3QLbAt4C4wLpAu4C8wL3AvoC/gMCAwcDDAMSAxYDGQMbAx0DHgMfAyADIQMiAyMDJAMjAyMDIgMiAyUDKQMvAzYDPgNGA0wDUANRA1ADTgNLA0cDRANDA0IDQgNCA0EDQQNAAz8DPQM7AzoDOQM4AzYDNAMxAy4DKgMmAyIDHwMcAxoDGQMXAxUDEgMPAwsDBgMBAvwC+AL0AvEC7QLqAuUC4ALaAtICywLDArsCtAKuAqkCpQKhAp4CmgKWApECjQKHAoICfQJ4AnUCcgJwAm4CbQJrAmkCZgJjAl8CXAJZAlcCVQJVAlUCVQJVAlUCVQJTAlICUAJPAk8CUAJSAlQCWAJdAmECZwJsAnECdwJ8AoIChwKLAo8CkwKWApkCmwKdAp4CoAKhAqICogKiAqICogKiAqICogKkAqUCpgKmAqYCpAKiAp8CnQKbApoCnAKeAqMCqQKwArkCwgLNAtgC5QLyAv8DDAMYAyMDLAM0AzwDRANNA1cDYwNwA34DjAObA6oDuAPIA9cD5gP2BAYEFAQgBCkELwQyBDQENgQ4BDwEQwRLBEUETwRYBGAEZgRqBG0EcgR3BH8EiASTBKAErAS3BMIEywTTBNsE4gTrBPYFAwUSBSMFNwVLBWAFdAWGBZQFnwWkBaYFpQWkBaQFqAWyBcMF2QX0Bg4GJAYzBjgGMQYfBgYF6AXMBbUFpgWjBakFtwXKBd4F8AX8BgIGAgX8BfIF5wXbBdAFxwXABbsFuAW3BbgFvAXDBc0F1wXiBewF9AX4BfgF9AXvBegF4gXdBdsF2wXdBeAF4wXmBekF7QXzBfwGCAYYBikGOwZMBlsGZQZsBnEGcwZ3BnwGhAaQBp8Grwa/Bs0G2QbhBucG7QbyBvsHCgcgB0AHageeB9oIGwhcCJkIzQjzCQgJCwj/COgIzAiyCKEInQiqCMgI8gkkCVYJgwmmCbsJxAnDCbwJtAmvCbIJuwnMCeEJ9woLChgKHQoZCg0J+wnmCdEJvgmwCagJpQmnCasJsgm4Cb8JxQnOCdoJ7AoFCigKUwqGCr0K9AsoC1ULeAuSC6QLsAu9C9AL7AwVDEwMkAzdDSwNeQ29DfUOIA4/DlUOaA58DpUOuA7jDxUPSg96D6APtg+5D6UPfQ9EDv8Osw5nDiEN5A2zDY4Ncw1gDVMNRg05DSgNEwz7DOEMxwyuDJgMhQx1DGUMVQxCDCwMEgv2C9oLwAupC5gLjAuDC3wLcwtnC1YLQAsoCw4K9griCtMKxgq7Cq4KnQqGCmgKRgohCf4J4AnJCbkJrQmkCZkJiAlvCU4JJgj5CMkImghvCEcIJAgEB+gHzQe1B58Hiwd7B20HYgdWB0kHOgcmBxAG+AbjBtIGygbLBtcG6gcCBxsHLgc5BzkHLgcYBvoG1wa0BpQGdwZeBkoGOQYpBhkGCAX1BeIF0AW+BbAFpAWcBZYFkgWOBYgFfgVuBVcFNwUQBOMEsAR9BE0EJAQHA/gD+AQGBB0EOARRBGIEZgRcBEYEJwQIA+8D4wPmA/oEGgQ9BFwEbARoBEsEGQPWA4sDQQMAAswCpwKNAngCYQJCAhgB5AGqAW8BOwERAPUA5ADZAM8AvQCgAHQAPP/7/7j/ef9C/xX+7/7N/qj+fP5F/gT9uv1t/SL84Pyp/H78XfxD/C38Fvv9++H7xPun+437d/tj+1D7PPsl+wj66PrE+qD6ffpf+kX6LvoW+fz53fm4+Y35YPk1+Q/48/ji+Nz43/jp+Pj5CPkY+Sb5Mvk6+Tz5Nvki+P/4y/iG+DP32veB9y/26/a59pb2gPZw9mH2TvYz9hP17/XN9bH1n/WW9ZP1k/WP9YL1avVH9R708/TP9LX0qvSs9Lj0yvTb9Of06vTk9Nf0xfSy9J/0jPR39F30OvQO89fzmfNX8xfy3vKw8o/yefJs8mXyXvJW8knyOPIj8g3x+PHl8dbxyvHA8bjxsfGq8aTxnvGZ8ZTxjvGE8XbxYfFF8SLw+fDM8KDwd/BU8DjwJfAY8BDwDfAL8AvwC/AL8A3wEPAU8BjwHPAe8BzwFvAJ7/bv3e++75rvc+9M7yXvAe7h7sXure6Z7oTubu5T7jLuCe3a7aftc+1C7Rfs9uze7NDsyezE7L3ssuyg7IbsZuxC7B/sAOvo69nr0uvS69jr3+vm6+rr6uvm6+Dr2evS683ryuvL687r0+va6+Dr5+vv6/jsA+wR7CPsN+xM7F/sbux37Hbsa+xV7DfsE+vt68jrqOuO633rcutt62zra+to62LrVutG6zLrG+sF6vLq4+rc6tzq5Ory6wXrGust6zvrROtF6z/rNOsm6xjrC+sC6v3q++r66vnq9ert6uHq0eq/6qzqnOqO6oPqe+p06m3qZOpY6kjqNeog6gzp+enq6d3p1OnO6cjpwem56a/ppOmW6Yjpe+lw6WfpYOlb6VbpUOlJ6T/pNOkn6RrpD+kJ6QnpEOke6TLpR+lb6WnpcOlr6VzpQ+kj6QDo3Oi66J3ohehx6F/oTeg86CroGugN6AboCOgT6CjoRuhp6I/otejX6PXpDekg6S/pPOlI6VTpX+lq6XTpfOmD6Yfpi+mO6ZHplemZ6Z/ppumt6bTpu+nC6cjpzOnQ6dTp1+na6d3p4eno6fDp++oI6hbqJeoz6kDqS+pU6lrqX+pj6mfqaupt6m7qb+pt6mnqY+pd6lbqUepN6k3qT+pT6ljqXupk6mnqbupz6nnqgOqI6pDqmeqi6qnqr+q06rjqu+q+6sLqx+rM6tPq2urh6unq8er66wTrEOsd6yvrOutJ61frZetx637riuuX66brtevE69Pr4uvu6/rsA+wM7BXsH+wq7DfsR+xX7GjseeyK7Jnsqey47Mfs1+zn7PjtCu0a7SrtOO1E7U7tV+1g7WjtcO147YHtiu2T7Zztpu2x7b7tzO3c7e7uAe4U7ijuO+5O7mDuce6C7pPupO617sbu2O7p7vrvDO8d7y/vQ+9X72zvg++a77HvyO/f7/TwCfAc8C/wQfBT8GXwdvCH8JjwqfC58Mrw2vDr8PvxDPEd8S3xPfFM8VrxZ/Fy8X3xh/GQ8ZnxovGs8bbxwPHK8dTx3vHn8e/x9vH98gTyC/IU8h7yKfI38kXyVPJi8nDyfvKL8pjypfKy8sHy0PLf8u/y/fML8xfzI/Mw8z3zTfNe83HzhfOZ86rzuPPC88rzz/PU89rz4vPu8/30DvQg9DL0QfRO9Fj0YPRm9Gz0c/R79IT0jfSW9J/0pfSr9LH0t/S/9Mj01PTg9O70+vUG9Q/1F/Ue9Sb1MPU89Uz1XvVx9YT1lvWm9bT1wfXO9dz17fYA9hX2LPZC9lb2Z/Z19oD2ivaV9qP2tPbI9uD2+vcU9yz3QvdW92f3d/eG95b3pve498r33Pfu9//4EPgi+DX4Sfhf+Hj4kviu+Mr45vkC+R35N/lR+Wv5g/ma+a/5wvnU+eT59PoF+hj6LPpD+lv6c/qL+qH6tfrI+tj66fr6+wz7H/s0+0n7Xftx+4P7lful+7X7xvvY++v7/fwQ/CL8NPxF/Ff8a/yC/J38vPze/QP9KP1M/W79jf2r/cr96v4P/jv+bf6l/uP/I/9k/6T/3wAWAEcAcgCYALkA1QDvAQYBHQE0AU4BbAGPAbkB6QIbAk4CfwKpAsoC4QLuAvMC8wLxAvAC8wL5AwQDEQMfAywDNgM+A0QDSgNSA1wDaQN4A4cDlAOcA6ADnwOaA5QDjgOLA4wDkQOXA54DogOjA58DmAOPA4kDhwONA5oDrwPIA+MD/AQRBB4EIgQdBBAD+wPhA8EDngN5A1MDLQMKAukCzgK5AqoCogKfAqECpgKsArMCugLBAskC0QLYAuAC5wLtAvIC9QL3AvkC+gL7AvwC/QL+Av4C/gL8AvkC9wL1AvMC9AL1AvkC/AL/AwEDAQMAAv0C+gL3AvYC9wL5Av0DAgMHAwwDDwMRAxEDEAMPAw0DCwMJAwYDBAMBAv0C+gL3AvUC8wLzAvMC8wL0AvMC8gLuAuoC5ALdAtYCzwLJAsQCvwK7ArYCsAKpAqAClwKNAoQCegJyAmoCZAJfAlsCWAJVAlICTgJKAkcCQwJAAj0CPAI7AjsCOwI8Aj0CPQI8AjsCOQI3AjUCNAIzAjMCNAI1AjYCNgI3AjcCNgI2AjYCNwI4AjwCQAJFAksCUQJXAlwCYgJmAmsCbwJzAncCegJ+AoEChAKHAokCiwKMAo0CjQKNAo0CjgKOAo8CkAKQApECkQKQAo8CjQKLAooCiQKJAooCjQKQApUCmwKhAqkCswK+AsoC2ALnAvUDAgMOAxkDIQMoAy8DNgM/A0kDVgNlA3YDhwOYA6kDuQPJA9cD5APwA/sEBQQNBBIEFgQZBBsEHgQiBCgEMAQ6BCoENgRABEgETgRSBFYEWwRiBGoEdAR/BIsElwSiBKsEtAS7BMMEygTSBNsE5QTyBQAFDwUgBTIFQwVUBWMFbwV3BXsFfQV+BX8FhAWOBZ8FtQXRBe0GBwYbBiUGIwYXBgEF5QXJBa8FnQWUBZYFnwWvBcEF0gXfBeYF5wXhBdYFyQW5BaoFnAWRBYgFgwWDBYcFkAWdBa0FvgXPBd4F6QXvBfAF7AXnBeEF3AXaBdsF3wXmBe0F9QX8BgMGCQYRBhkGJAYxBj4GSwZWBl0GYQZiBmIGYgZkBmoGcwaBBpEGoAauBroGwQbFBskGzQbWBuYG/gchB00HgQe8B/sIOgh3CK4I3QkBCRkJJgkoCSMJGQkOCQgJCAkSCSYJQgljCYYJpwnCCdUJ3wnhCd0J1gnQCcwJzAnQCdcJ3wnmCeoJ6AnhCdUJxQmzCaMJlwmQCY8JlgmjCbMJxgnXCeYJ8gn6Cf8KBAoLChcKKwpGCmoKkwq+CuoLEgs1C1ILbAuGC6MLyQv5DDYMfgzNDR8NbA2wDeYODQ4kDjEOOA5BDk4OZQ6GDq4O1w79DxgPIg8aDv0O0A6VDlQOFA3aDasNiQ1zDWcNYw1hDV4NVg1IDTMNGAz5DNcMtQyVDHcMXAxCDCoMEQv4C98LyAu0C6ULnAubC58LpgutC68LqgubC4ILYQs7CxYK9QrbCskKvwq6CrUKrAqcCoQKZApAChkJ9QnVCbwJpwmVCYIJawlNCSYI+QjGCJEIXgguCAUH4QfDB6kHkgd8B2cHUwdABy0HGgcIBvUG4AbKBrIGnAaJBnwGdwZ9BowGowa/Bt0G9gcIBxAHDAb+BucGywasBo0GcAZVBj0GJwYSBf4F6gXXBcUFtAWkBZYFiQV8BXAFYgVUBUQFNAUjBRAE+wTkBMkEqwSKBGgERwQqBBQEBwQEBAoEFQQhBCkEKQQeBAgD6wPKA60DmQORA5cDqQPBA9kD6QPsA94DvwOVA2MDMgMGAuMCyAKzAp8ChgJlAjkCBAHKAY8BWQEsAQgA7ADTALcAlQBnAC//7v+p/2b/Kv73/s/+rv6Q/m/+R/4U/dj9lP1P/Qz80Pye/HX8VPw4/Bv7/fvb+7X7j/tq+0n7LPsT+vz65vrN+rD6kPpt+kr6KfoK+e/51fm8+aH5gvlf+Tv5F/j3+N/40fjN+NP43/jt+Pr5BPkI+Qb4//jy+OD4yPio+H/4S/gP98v3hfdB9wT20var9pD2ffZt9lv2RfYp9gn16fXN9bf1q/Wo9an1q/Wn9Zv1g/Vh9Tr1EfTv9NX0x/TE9Mj0zvTR9M/0xPSy9Jz0hPRv9F30TvRA9C70FPPy88Xzj/NU8xny4vKz8ozyb/JZ8kfyNfIi8gzx9fHd8cbxsvGi8ZXxi/GD8Xzxd/F08XTxdvF98YXxjfGR8Y7xgPFl8T3xCvDR8JXwXfAr8ATv6e/X78/vze/P79Pv2e/f7+bv7e/07/nv++/67/Lv5e/R77fvmu9671nvN+8X7vbu1u627pbudu5X7jjuG+3+7eDtw+2k7YTtY+1B7SHtA+zp7NLsv+yv7J7sjOx27F3sQOwh7ALr5+vR68PrvOu7677rwevB67zrseug64zreOtn613rW+ti63Hrhuud67TryOvY6+Pr7Ovz6/zsBuwU7CPsMew97EPsQuw27CLsBuvk67/rnOt762DrSus76y/rJ+sf6xbrCur76ujq1Oq+6qnql+qK6oPqgeqG6o/qmuql6q/qtOq16rHqquqh6pjqkuqO6o7qj+qS6pTqlOqQ6orqgep26mzqY+pb6lXqUOpK6kPqOOor6hrqCOn16ePp1OnI6b/puem06a/pqemh6ZfpjOl/6XPpZ+ld6VTpTelG6T/pN+ku6SPpF+kL6QHo+ej16Pbo/OkH6RTpIuku6TTpNOkq6RnpAOji6MLoouiE6GvoV+hG6DjoKugc6A3n/eft59/n1efS59bn4uf06A3oK+hK6Gvoi+ip6MXo3+j36QzpHukv6TzpSOlS6VrpYulo6W7pcul26Xnpe+l86X3pf+mB6YTpiemN6ZLpl+mc6aDppemq6bHpuenE6dHp3+nu6fzqCeoV6h/qJ+ov6jXqOuo+6kHqQeo+6jnqMeon6h3qFOoN6grqCeoM6hDqFuoc6iLqKOos6jHqNuo86kPqSupR6lnqYOpm6m3qc+p56oDqh+qO6pXqm+qh6qfqrOqy6rnqwerM6tnq5+r36wfrF+sn6zbrRetT62Hrbut864rrl+uj66/ruevD687r2Ovk6/HsAOwQ7CDsMexD7FXsZux37Insmuyr7Lvsy+za7Ofs9O0A7QvtFu0h7S3tOe1F7VHtXe1o7XPtf+2K7Zftpu227cft2u3t7gDuFO4m7jfuSO5Y7mjueO6J7pvure6/7tLu5u757w7vIu83703vY+9575Dvp++979Pv6e/+8BPwJ/A78E3wXvBu8H7wjPCa8Knwt/DH8Njw6vD88Q/xIfEy8ULxUPFd8WfxcPF58YHxifGT8Z7xqvG28cTx0fHd8efx8PH48f/yBvIO8hfyIvIu8jzySvJY8mbyc/KA8ozymfKm8rTywvLR8uDy7vL88wjzFfMi8zDzQPNS82bzevOM85zzqPOw87TztfO287jzvfPG89Tz5PP29Aj0GfQm9DD0N/Q99EL0SfRR9Fv0ZvRx9Hv0hfSP9Jf0oPSq9Lb0w/TR9N/07fT59QP1DfUW9SD1K/U49Uj1WfVq9Xr1ifWW9aL1rvW79cr13fXy9gn2IfY39kr2WfZl9m72d/aB9o72nvaz9sv24/b89xP3J/c490j3Vvdk93P3g/eV96f3uvfM99/38/gI+B/4OfhW+HX4lPi1+NT48fkM+Sb5PvlV+Wv5gPmV+aj5uvnL+dv56/n7+gz6Hvoz+kj6Xfpx+oT6lfqk+rP6wvrT+uf6/vsW+zD7Sftg+3X7iPuY+6j7t/vI+9r77vwC/Bb8Kfw7/Ez8XPxt/H/8lfyt/Mn85/0H/Sn9TP1x/Zj9w/3z/ij+Yf6e/t3/G/9X/47/wP/tABQAOABaAHoAmQC4ANYA9AESATIBUwF2AZsBxAHuAhgCPwJjAoECmAKpArQCvQLEAswC1gLiAvAC/wMOAxwDKQM2A0IDUANhA3MDhwOYA6YDrgOtA6QDlQOBA2wDWgNOA0kDSgNQA1cDXgNhA18DWgNTA0wDSwNQA1wDcAOJA6QDvAPPA9oD2gPRA78DpQOHA2UDQgMfAv4C3gLCAqkClAKEAngCcAJsAmsCbAJwAnQCewKCAosClQKfAqoCtAK8AsQCyQLNAs8C0QLSAtMC1ALUAtMC0QLNAskCwwK9ArcCswKwAq4CrQKsAqsCqgKnAqUCpAKjAqQCpwKtArMCuwLDAskCzgLRAtMC0wLSAtEC0QLQAtACzwLOAs4CzALLAsoCyQLJAskCygLKAsoCyQLGAsECuwK0AqwCowKaApICiQKBAngCcAJnAl4CVAJKAkACNwIvAigCIgIdAhoCFwIVAhMCEQIPAg0CCgIIAgUCAwICAgICBAIFAggCCgIMAg0CDQINAgwCCwIKAgkCCQIJAgoCCwIMAg0CDgIPAhACEgIVAhgCHAIiAigCLgI0AjsCQQJGAkwCUQJWAloCXwJjAmcCagJuAnECcwJ1AncCeAJ5AnkCegJ6AnoCegJ5AngCdwJ1AnQCdAJ0AnUCeAJ8AoAChgKMApMCmgKiAqsCtgLCAtAC3gLsAvoDBgMQAxcDHQMhAyUDKgMxAzsDSANYA2sDfwOTA6YDtwPGA9ID3APiA+YD5wPoA+cD5wPnA+oD7wP3BAIEDwQdBBEEHgQoBC4EMwQ3BDoEQARHBFAEWwRnBHMEfwSLBJYEoASqBLQEvgTHBNAE2gTjBOwE9gUBBQ4FGwUpBTcFRAVPBVYFXAVfBWIFZwVwBX4FkwWsBccF4gX4BgcGCwYFBfUF3wXGBa8FnQWSBZAFlgWhBa4FuwXEBccFxQW9BbAFoQWRBYIFdgVtBWgFaAVtBXYFhAWVBagFvAXOBd0F5wXtBe4F6wXnBeQF4gXkBekF8QX7BgcGEQYbBiIGKQYvBjUGOwZCBkgGTQZPBlAGTgZMBkkGSQZNBlUGYQZwBoEGkAadBqcGrga1BrwGyAbcBvkHIQdRB4gHxAgACDsIcgikCNAI9wkYCTUJTQlhCXEJfQmFCYoJjgmSCZUJmwmiCaoJsgm5Cb0Jvwm9CbkJsgmrCaQJoAmfCaAJpAmpCa0JrwmuCaoJpAmbCZMJjAmKCYwJlgmkCbgJzgnlCfkKCQoTChkKGwocCh4KJQoxCkUKXwp+Cp8KwArfCvwLGAs2C1gLggu3C/YMQAyQDOANKw1sDZ4NwA3UDd0N4Q3lDe8OAQ4bDjoOWg50DoIOgQ5tDkgOFQ3bDaENbA1DDSgNHA0dDScNNg1EDU0NTQ1EDTANFAzxDMgMngxyDEYMGgvvC8ULnQt6C1wLSAs+C0ILUQtrC4sLrAvIC9kL3AvOC7ELiAtZCyoLAQrjCtEKygrLCs0KywrBCq0KjQplCjgKCgnfCbkJmAl7CV8JQAkdCPMIwwiPCFkIJgf2B80HqgeMB3IHWQdBBygHDQbyBtgGvwanBpIGfgZsBlwGTwZGBkIGRQZQBmMGfAabBroG1wbvBv4HBAcABvMG3gbFBqgGiwZsBk8GMwYYBf8F5wXSBb8FrgWeBY4FfgVsBVgFQwUtBRgFBgT4BO0E5wThBNsE0QTBBKwEkQRzBFUEOwQoBBwEGAQXBBcEEgQGA/ED1AOwA4sDaQNQA0EDPQNCA0sDVANYA1UDSgM4AyMDDgL7AuwC3wLTAsICqwKJAl4CKgHxAbgBggFSASkBAwDcALEAfgBA//r/rv9i/xv+3v6s/of+av5Q/jT+Ev3m/bH9dv04/Pz8xfyW/G78TPws/Ar75fu8+477X/sx+wX63vq7+pv6ffpe+j36G/n3+dP5sPmQ+XL5Vvk6+R34//jf+MD4pfiQ+IT4g/iM+J74s/jJ+Nr45Pjk+Nr4x/is+Ir4Yvg0+AH3yfeO91H3Fvbg9rH2i/Zv9lv2TPY/9i/2HPYF9ev10vW99a31pPWh9aD1nvWY9Yn1cfVS9TD1DvTw9Nv0zfTH9MX0wvS69Kz0l/R89F/0Q/Qq9Bf0CfP98+/z3PPC86DzdvNG8xTy4vK08oryZPJB8h/x/vHd8bzxnfGA8WjxVvFH8T3xNvEw8S3xLPEv8TfxRvFb8XPxi/Gd8aTxnPGB8VPxFfDN8IDwNe/y77zvk+9472rvZu9q73Tvge+R76PvtO/D787v0+/Q78TvsO+V73bvVu837xrvAO7o7s/ute6X7nXuUO4p7gTt4+3H7bPto+2X7Yztfu1q7VHtM+0R7O7sy+yq7I3sdOxc7EfsMuwe7Avr+uvt6+Xr4evg6+Dr3uvX68jrseuT63LrUes26yXrIusr60HrX+uB66HrvOvO69fr2uvY69br1uva6+Tr8ev/7ArsEOwN7ADr6evL66frgetc6zrrHesF6vLq4urV6sjquuqq6pjqhepv6lrqR+o26ijqH+oa6hnqG+oe6iLqJeon6ibqI+of6hvqGOoW6hbqGOoa6hzqHuog6iHqIeoi6iPqJeon6ijqKOol6h7qE+oF6fXp4+nS6cPpt+mt6aXpnumY6ZDph+l86XDpY+lY6U3pRek/6TrpNuky6S3pJukc6RHpBej56O3o5Oje6Nvo3Ojf6OXo6+jv6PHo7ejj6NTov+il6IrobuhU6D3oK+gc6BHoCegC5/rn8efn59zn0OfF573nuee658Lnz+fj5/3oG+g76Fvoe+iY6LLoyOjb6Ovo+ekG6RPpIOks6TjpQelI6UzpTOlK6UfpQ+lB6UDpQulH6U3pVOlb6WLpaOlt6XPpeumC6Yzpl+mj6bDpvenK6dXp3+np6fHp+On96gHqAuoA6fvp8+nq6d/p1unO6cjpxunG6cnpzenR6dbp2unf6eTp6enw6ffp/+oI6hHqGuoi6irqMeo46kDqR+pP6lfqXupl6mvqcOp16nvqguqL6pbqo+qy6sLq0+rk6vXrBOsT6yDrLes660brUute62rrduuC643rmuum67Trw+vS6+Pr9OwG7BjsK+w97FDsYexy7ILskeye7KvstuzB7Mzs2Ozk7PHs/+0O7R3tLO077UntWO1l7XPtgu2R7aHtsu3E7dbt6e377g3uH+4w7kLuU+5k7nbuiO6a7q3uwO7U7uju/O8R7ybvPO9R72jvf++W763vxe/e7/bwDfAj8DjwSvBb8GvwePCF8JHwnvCs8Lvwy/Dc8O7xAPES8SLxMfE98UfxT/FW8VzxYvFp8XHxe/GH8ZXxo/Gy8b/xy/HW8eDx6vH08f/yDPIb8ivyPPJM8lzyavJ28oHyjPKW8qLyrvK88sry2fLp8vjzBvMV8yTzM/ND81PzY/Ny837ziPON85DzkfOS85TzmPOh863zvPPN893z7fP79AX0DvQV9Bv0IvQq9DT0P/RL9Fj0ZPRv9Hv0iPSV9KP0sfTA9M/03fTq9PX0//UJ9RT1IPUt9Tv1S/Va9Wr1ePWF9ZL1oPWv9cD11PXp9f72EvYk9jT2P/ZJ9lL2XPZp9nn2jfak9rz21Pbq9vz3C/cX9yL3LPc490f3WPds94H3mPew98r35vgF+Cj4Tvh3+KL4zPjz+Rb5M/lL+V35a/l3+YL5jvmb+ar5u/nN+d/58/oG+hr6LfpA+lL6Yvpx+n36ifqT+p/6rfq/+tX67vsL+yj7Rftf+3b7ifuZ+6f7tvvF+9f77PwD/Br8MPxF/Fb8Zfxy/H78i/yb/K/8x/zk/Qf9L/1d/Y/9xf3//jv+ef61/u//Jf9W/4L/qf/M/+4AEAAyAFYAegCfAMIA4wEBAR0BOAFTAW8BjQGvAdMB9wIbAj0CWgJzAocCmAKoArcCxwLZAu0DAgMXAywDQANUA2gDfAOPA6IDswPAA8UDwwO4A6UDiwNuA1EDOAMmAx0DGgMeAyQDKgMuAy4DKgMjAx0DGwMdAyYDNgNJA18DcwOBA4gDhgN6A2YDSwMrAwgC5QLEAqUCiQJyAl4CTgJCAjoCNQIyAjECMQIzAjYCOgJAAkgCUgJcAmgCdAJ+AogCjwKVApkCmwKdAp0CnQKcApkClQKPAocCfwJ2AmwCZAJdAlgCVAJSAlECUAJQAlECUgJUAlcCXAJhAmgCbwJ2AnwCgQKEAocCiAKJAosCjAKOApEClAKXApgCmgKaApkCmAKWApQCkgKQAo4CiwKIAoMCfgJ3Am8CZgJcAlECRgI6Ai8CJAIZAg8CBQH8AfQB7AHlAd4B2QHVAdIB0AHPAc4BzgHOAc0BzQHLAckByAHHAcYBxgHIAcoBzQHQAdMB1QHXAdgB2AHYAdcB1wHXAdgB2QHbAd0B4AHiAeUB5wHrAe4B8gH3Af0CAwIJAhACFwIeAiUCLAIyAjgCPgJDAkgCTAJQAlQCVwJbAl4CYAJiAmQCZQJlAmQCYwJiAmECYAJfAmACYgJlAmkCbwJ2An4ChwKQApkCowKuArgCxALRAt4C7AL5AwUDEAMYAx8DJAMoAywDMAM2Az8DSgNYA2cDeAOKA5oDqAOzA7sDvwO/A70DuAO0A7ADrgOwA7YDwAPOA94D8AQBA/8ECQQOBBEEEgQTBBUEGQQgBCkENQRCBFAEXwRuBH0EjQSdBKwEvATKBNYE4AToBO4E8wT4BP8FCAUSBR4FKwU2BUAFSAVNBVIFWAVhBW8FggWbBbYF0QXpBfkGAAX9BfEF3QXHBbIFoQWXBZYFmwWmBbIFvQXEBcUFwAW2BagFmgWLBYAFeAV0BXUFegWDBY8FnAWrBboFyQXWBeEF6QXuBfEF8gXzBfQF+AX+BgYGEAYbBiUGLwY3Bj0GQgZGBkkGTQZRBlQGVgZWBlUGUwZRBlAGUQZWBl4GagZ3BoYGlAagBqwGuAbGBtoG9QcZB0gHfge6B/gINAhqCJkIwAjgCPwJFQkvCUoJaAmHCaUJvwnTCd8J4gndCdAJvwmsCZkJiAl6CW4JYwlbCVIJSwlECT8JPAk8CUEJSglWCWMJcgl+CYgJjgmRCZEJjwmPCZEJlwmiCbIJxgncCfIKBwoZCicKMgo8CkQKTgpZCmcKdgqGCpYKpAqwCrsKxwrYCvELFAtFC4ILyQwWDGUMrgztDR4NQQ1XDWQNbQ12DYQNmA2yDc4N5w35Df0N8Q3VDaoNdA07DQUM2Ay4DKgMqAy0DMkM4Qz4DQcNDg0JDPoM4Ay9DJUMZww2DAILzguZC2ULNgsNCu0K2grWCuIK/QskC1ILgQuqC8cL1AvQC7oLlwttC0ILHAr/CuwK4wrgCt4K2ArKCrEKjQpgCi0J+AnFCZcJbglJCSUJAQjaCK4IfghLCBgH5we7B5QHcgdVBzoHHwcDBuUGxQalBoYGagZTBkAGMgYpBiMGIQYiBicGMAY+BlEGagaGBqQGwQbbBvAG/gcEBwIG+AbnBtEGtwaaBnsGXAY9Bh8GAwXqBdQFwQWvBZ0FiwV2BWEFSgUzBSAFEQUIBQUFCAUOBRMFFAUNBP4E5gTHBKUEgwRmBFEEQwQ7BDcEMQQmBBMD9gPSA6oDgANbAz0DKQMdAxgDGAMZAxgDFgMRAwsDBQMAAvsC9gLuAuACyQKoAn0CSwIVAd4BqgF6AU4BJAD4AMUAigBG//n/qP9X/w3+zP6X/m7+T/40/hj9+P3R/aH9bP00/Pz8yfyb/HP8UPwu/Ar74/u4+4n7Vvsk+vP6xPqa+nL6Tfop+gT54Pm7+Zj5dvlX+Tr5HvkD+Oj4zPiw+JX4f/hu+Gb4aPhz+IT4mviv+L/4x/jF+Lf4nvh8+FH4IPfr97P3evdB9wv22fat9oj2a/ZV9kT2OPYs9h/2EPX/9ez12vXK9b31tPWt9ab1nfWQ9X31ZfVJ9S31EvT79Or03/TX9ND0xvS49KP0ivRs9E70MfQY9ATz9PPl89fzxfOu85LzcfNM8yTy+/LR8qfyffJR8iTx9vHK8aDxe/Fc8UXxNPEp8SLxHfEZ8RbxFfEa8SbxOvFW8Xbxl/Gy8b/xu/Gh8XHxLvDd8IXwLu/f753vau9H7zPvLe8x7z7vUe9o74Hvme+t77vvwO+676nvkO9w707vLu8R7vru6O7X7sbuse6U7nHuSO4d7fTt0e237aftoO2e7Zztlu2H7W3tSe0d7O3sv+yV7HLsWOxG7DnsMOwo7CHsGewT7A7sCuwH7ATr/uvy697rwuug63rrVes26yLrHOsl6zvrWet665jrr+u867/rueuu66Trneud66TrsevA683r1evU68jrseuS623rResf6v3q4erL6rrqreqh6pbqiep66mfqUuo66iLqCeny6d3pzOm/6bbpsemv6bHptem56b7pwunF6cbpx+nH6cfpxunF6cTpxOnG6cnpzunU6d3p5unu6fXp+en66fbp7unj6dXpx+m56azpoOmW6Y3pg+l36WnpWulJ6TjpKOkb6RHpC+kJ6QnpDOkO6Q7pDOkH6P7o8ujk6NXox+i66K/oqOil6KTopuiq6K7osOiw6KvooeiS6H7oZ+hO6DToHegJ5/nn7ufm5+Ln3+fc59fn0OfH57znseep56Tnpeet57zn0efq6AboI+g+6FXoaeh56IfolOih6LDowOjS6OTo9OkC6QzpEukU6RLpD+kM6QrpCukN6RLpGOkf6SbpLOky6TjpPulE6UzpVelf6WnpdOl+6Yfpj+mX6Z7ppOmo6azprumu6azpqemk6Z7pmemU6ZHpj+mO6Y/pkOmS6ZTplumZ6Z3ppOms6bbpwenM6djp4unr6fLp+en/6gTqCuoR6hnqIeop6jHqOepA6kfqT+pX6mHqbep66onqmuqq6rvqzOrc6uvq+esG6xPrIOss6zjrRetR617ra+t464brlOuj67Prw+vT6+Tr9ewG7BfsKew57ErsWexn7HXsgeyM7Jfsouyu7LrsyOzX7Ojs+e0K7RztLe0+7U/tX+1v7X7tj+2g7bLtxe3Y7ezuAO4U7ifuOe5L7lzube597o7un+6x7sTu2O7s7wHvF+8s70PvWe9x74jvoe+579Lv6/AC8BnwL/BD8FXwZfB08IHwjvCa8KXwsfC+8Mzw2vDo8PbxBPER8RvxJPEr8THxNvE88ULxS/FW8WLxcPF/8Y7xnPGp8bbxwvHO8dzx7PH+8hLyJvI68k3yXfJq8nXyfvKF8o7yl/Kj8rLywvLT8uTy9vMF8xPzIPMs8zbzQPNI81DzV/Nd82HzZvNq82/zdfN+84nzlfOj87LzwPPN89nz5PPu8/f0AfQL9Bb0IfQs9Dj0Q/RP9Fz0afR29IX0lPSj9LP0wfTP9Nz06fT19QH1DvUc9Sr1OfVI9Vj1Z/V39Yj1mfWs9cD11PXn9fj2B/YS9hv2IvYp9jH2PfZM9l72dPaL9qD2tPbD9s/22Pbg9un29PcE9xj3MPdL92j3h/en98r37/gZ+Ef4e/ix+Oj5HflN+XX5k/mm+bD5tPmz+bL5s/m4+cL50Pni+ff6DPoi+jb6SfpZ+mj6dPp++of6kPqZ+qT6svrE+tn68vsO+yr7Rvtg+3f7i/uc+6z7vfvP++X7/fwY/DP8Tfxl/Hr8ivyX/KL8rfy6/Mr84fz+/SL9Tv2B/bj98/4v/mr+o/7X/wX/Lv9R/3H/jv+t/87/8wAcAEgAdQChAMkA7AEHAR0BLwE/AVEBZwGCAaMBxwHvAhYCOwJdAnoCkwKrAsIC2wL2AxQDNANUA3QDkgOrA8ED0QPcA+ID4wPeA9MDwQOrA48DcgNUAzgDIAMPAwQC/wL+Av8DAAL/AvwC9gLvAugC5QLmAu0C+AMIAxgDJwMyAzYDMgMmAxIC9wLXArQCkQJuAk0CMAIYAgQB9QHrAeYB4wHkAeYB6gHuAfMB+AH/AgYCDwIaAiUCMQI8AkYCTgJUAlkCWwJdAl0CWwJZAlUCUAJJAkACNwItAiICGQIRAgwCCAIGAgYCBgIIAgoCDQIQAhMCFwIcAiECJwItAjMCOAI8Aj8CQQJDAkUCSAJKAk0CUQJUAlYCWAJZAlkCVwJVAlECTQJIAkQCPwI6AjUCMAIpAiICGgIQAgYB+gHuAeIB1gHLAcEBtwGuAaYBnwGYAZIBjQGIAYQBggGAAYABgQGCAYQBhgGHAYgBiAGIAYgBiAGJAYsBjgGRAZQBmAGbAZ0BnwGgAaEBogGjAaQBpgGpAawBrwGzAbcBuwG+AcIBxwHLAdAB1gHdAeQB7AHzAfsCAwIKAhECFwIdAiMCKAItAjICNwI8AkECRQJJAkwCTQJPAk8CUAJRAlICUwJWAloCXwJlAmwCdAJ8AoUCjwKZAqMCrgK5AsQC0ALcAugC9QMBAw4DGgMmAzEDOwNFA04DVQNdA2MDagNxA3cDfgOFA4oDjwOTA5QDkwOQA4sDhwODA4IDhAOLA5YDpgO4A80D4APxA/4EAQQBA/4D+wP4A/cD+gQABAoEFQQjBDIEQgRTBGYEegSPBKUEugTOBN8E7AT2BPwFAAUEBQcFDAUTBRwFJgUvBTcFPQVCBUgFTwVaBWoFgQWdBbsF2QXzBgQGDAYJBfsF5wXRBbwFrQWnBaoFtQXFBdcF6AX0BfoF+AXxBeYF2QXNBcIFvAW4BbgFugW9BcAFxAXIBcsF0AXVBdsF4gXpBfEF+gYCBgsGFAYdBiYGLwY3Bj4GRAZJBk4GUgZYBl4GZQZtBnUGfQaEBokGjgaRBpQGmQaeBqUGrQa2BsAGywbWBuMG9AcLByoHUgeCB7oH9ggzCGwInQjECOEI9AkACQoJFAkkCTkJVQl0CZUJsQnFCc8JzAm9CaQJhQliCT8JHwkECO4I3QjQCMUIvQi4CLUItwi+CMoI3Qj0CQ4JKQlDCVkJawl3CX4JgwmHCYsJkwmfCbEJxgnfCfkKFAouCkcKXgpzCoYKmAqnCrQKvQrBCr8KtwqrCp0KkQqLCpAKowrFCvULMgt3C74MAgw+DG8MlgyzDMoM3gzzDQsNKA1GDWMNeg2GDYMNcA1NDRwM5AyqDHUMSQwsDB0MHgwpDD0MUwxmDHQMeQx0DGUMTQwuDAsL4wu6C5ALZws+CxYK8grSCrkKqAqiCqgKuwrXCvsLIgtIC2kLgAuMC4sLfwtrC1ILOAsfCwkK9QriCs4KtQqWCnAKQgoRCd0JqQl5CU0JJAj/CNoItAiMCF8IMQgAB9EHpQd9B1oHPAchBwgG7QbRBrMGkwZzBlUGOwYmBhgGDwYMBg0GEQYXBh8GKQY3BkcGWgZxBokGoQa4Bs0G3AbmBuoG6AbgBtIGwAarBpIGdwZaBj4GIgYIBfAF2wXHBbQFogWPBXsFZwVUBUMFNgUvBS0FLwUzBTcFNgUvBR8FCATpBMgEqASLBHUEZgReBFgEUwRJBDkEIQQCA94DuQOWA3kDYgNTA0kDRAM/AzsDNAMsAyQDGwMUAw0DBAL5AugCzwKtAoECTwIYAeABqwF4AUoBHADuALwAgwBB//j/q/9d/xP+0P6X/mn+Qv4h/gL94P26/Y79Xf0q/Pf8x/yb/HP8Tvwq/Ab73/u1+4j7V/sn+vf6yfqd+nX6Tvop+gX54/nB+aH5hPlp+VD5Ovkj+Q349vjf+Mj4s/ii+Jf4k/iW+J74qfi0+Lr4ufiu+Jn4evhS+CP38Pe894j3Vfcm9vz21va19pn2gvZu9l32TfY+9i/2IPYQ9gH18vXk9dj1zfXB9bP1pPWQ9Xr1YvVJ9TH1G/UJ9Pv07/Tj9Nf0x/S09J30g/Ro9E30NfQf9Avz+vPo89XzwPOo843zcfNT8zTzFPLy8s3yo/J18kTyEvHh8bXxkPF18WPxWvFW8VTxUvFO8UjxQvFA8UTxUPFl8YDxnfG28cPxv/Gl8XbxM/Dh8IfwLu/b75bvYe897yrvJ+8v70HvWe9z747vpe+377/vve+w75nve+9Z7zfvGu8C7vLu5u7c7tDuve6h7nzuUO4g7fLtyu2s7ZjtjO2F7X3tb+1Y7TbtCuzY7KXsduxQ7DTsJOwd7BzsHewc7BjsEOwF6/jr7Ovi69jrzeu/663rlet461frOOsd6wzrB+sP6yLrO+tX62/rf+uG64Lrd+tp61zrVOtU61zraet564Xri+uH63frXOs66xTq7urN6rPqoeqX6pPqkeqR6o7qh+p66mjqUOo16hfp9+nZ6bzpo+mN6X3pculr6Wrpbely6Xrpg+mL6ZLpmOmb6Zzpm+mZ6ZbpkumR6ZDpk+mX6Z7ppumv6bfpvenA6cDpvem36a/ppemb6ZLpiOl+6XTpaOlZ6UjpNekg6Qvo+Ojn6Nro0ujP6NHo1ejb6ODo4+ji6N7o1OjG6LXoo+iP6H3obuhj6F7oXuhj6GvoduiB6InojOiI6H3oauhS6DXoF+f75+LnzufB57rnuOe457nnuOe156/np+ee55fnk+eV55znqee859Hn6Of96BDoIOgs6DboP+hJ6FboZuh46I3ooei16Mbo0+jc6OHo4+jj6OPo4ujj6OXo6Ojs6PHo9uj86QLpCOkP6RfpH+kn6S7pNek76T/pQulF6UfpSelL6U7pUelT6VbpWOla6VvpXele6WDpYeli6WLpYulh6V/pXulf6WHpZulv6XnphumU6aLpr+m56cHpyOnN6dHp1enb6eLp6unz6f3qB+oR6hrqI+os6jXqP+pK6lbqZOpz6oPqlOql6rbqxurW6uXq8+sB6w/rHOsp6zbrQ+tR61/rbet764rrmOum67TrwuvR6+Dr7+wA7BHsIuwz7EPsUuxg7GzseOyD7I7smuyo7LfsyOzb7O7tAe0U7SftOe1L7Vztbu2A7ZPtqO2+7dTt6u3/7hTuJ+447kjuV+5m7nXuhe6W7qjuu+7Q7uXu++8R7yfvPO9S72fvfe+T76nvwO/W7+3wBPAb8DHwRfBY8GjwdvCC8IzwlPCb8KPwrPC28MLw0PDe8Ozw+vEH8RPxHvEo8TPxP/FN8VzxbfF98Y7xnPGp8bTxvvHH8dHx3vHt8f/yE/In8jvyTfJc8mfyb/J28nzyhPKN8pryqfK78s3y3vLt8vnzA/MJ8w7zEfMV8xnzH/Mm8y7zN/NB80vzVfNg82vzdvOB843zmfOm87PzwPPN89rz5vPy8/30CPQT9B30J/Qx9Dz0SPRV9GP0cvSC9JP0pPS19MX01vTl9PT1A/UR9R71LPU69Ur1WvVs9YD1lfWr9cH11fXm9fT1/vYE9gn2DPYR9hn2JPYz9kT2V/Zo9nb2gPaH9oz2kPaY9qT2t/bQ9vD3FPc792H3h/es99H3+fgk+FX4jPjH+QT5QPl0+Z/5v/nR+dn52PnT+cz5yvnM+dX54/n2+gv6Ifo1+kf6Vfph+mv6dPp8+oX6j/qa+qf6t/rK+t/69vsQ+yr7Rftf+3j7kPuo+7/72Pvy/A78K/xK/Gn8hvyg/Lj8yvza/Of88/0B/RL9KP1F/Wj9kv3D/ff+Lf5i/pX+wv7p/wv/Jv8//1b/cP+P/7T/4QAUAEsAhAC6AOkBDwEsAUEBTwFaAWYBdgGMAaoBzgH2AiACSgJwApQCtQLVAvYDGQNAA2sDmAPFA+8EFAQwBEIESQRFBDcEIQQFA+UDwwOhA38DYANEAysDFwMIAvsC8gLpAuEC2ALOAsMCuAKuAqgCpQKoAq8CugLIAtYC4gLqAuwC5wLZAsUCqgKLAmgCQwIeAfsB2wG/AagBlgGLAYQBgwGFAYoBkQGaAaIBqwG0Ab4ByAHTAd4B6gH0Af4CBgINAhECFAIWAhYCFAISAg8CCgIEAf4B9gHvAecB4AHaAdUB0gHRAdAB0QHSAdMB1AHVAdcB2QHdAeEB5wHtAfMB+QH+AgICBAIGAgcCBwIHAgcCCAIJAgsCDQIOAg8CDwIOAgsCCAICAf0B9gHvAekB4gHaAdMBygHBAbcBrQGhAZYBigF/AXUBawFjAVsBVAFOAUgBQgE9ATkBNgE0ATQBNAE2ATkBPAE/AUIBRQFHAUkBSwFNAU8BUQFTAVYBWgFdAWABYgFkAWYBaAFqAWwBbwFyAXYBegF/AYQBiQGPAZQBmgGgAaYBrQG1AbwBxAHMAdQB3AHjAeoB8QH3Af4CBAILAhECGAIeAiQCKQItAjECMwI2AjgCPAJAAkUCSwJSAlsCYwJsAnUCfgKHApECmgKlAq8CugLFAs8C2gLlAvAC+wMIAxUDJQM2A0gDWgNsA3wDiQOTA5kDmwOaA5YDkQOLA4UDfwN7A3YDcgNvA20DbANuA3MDfAOJA5oDrgPCA9YD6AP1BB0EHQQZBBMEDAQIBAYECAQNBBUEHwQrBDgERwRXBGkEfQSTBKwExQTdBPMFBgUVBSEFKQUvBTUFOgU/BUQFSAVMBU0FTQVNBU4FUwVeBXAFigWqBc0F7wYMBiEGKgYoBhwGCAXzBeAF1AXSBdsF7QYGBiIGPQZUBmMGawZsBmcGXwZUBkoGPwY1BisGIAYTBgQF9gXnBdsF0wXQBdIF2QXkBfMGAgYSBiAGLAY2Bj0GQwZHBkoGTgZSBlkGYQZrBngGhgaVBqUGtQbFBtMG4AbtBvcHAgcLBxQHHQcmBy4HOAdEB1MHaAeEB6YH0AgACDMIZQiUCLsI2AjqCPEI8gjuCOsI7Qj2CQcJHgk6CVUJbAl5CXoJbwlXCTYJEAjnCMAInAh+CGYIUghDCDcILwgrCCwINAhDCFkIdgiYCLwI4QkDCR8JNglICVUJYQluCX4JkgmtCcwJ7woUCjkKXAp8CpkKswrJCt0K7wr9CwYLCAsDCvUK3grBCqAKgApmClYKUwpgCn0KpgraCxILSgt/C68L2Qv+DCEMQwxnDI4MtQzbDPsNEQ0ZDREM+AzPDJoMXgwhC+kLuwuaC4gLgguHC5ILoAurC7ELrwukC5ILegtdC0ALJAsLCvcK5wrZCs8KxQq7Cq8KpAqaCpIKjwqTCp4KsArKCugLBwslCz8LUgtbC1sLUAs8CyAK/ArSCqQKcgo9CggJ1AmhCXMJSAkiCP4I3Qi8CJkIcwhJCB0H7ge/B5IHaQdEByUHCgbyBtsGwwarBpEGdwZeBkYGMgYjBhkGFAYTBhUGGgYgBicGMAY6BkYGVAZkBnMGgwaQBpsGogamBqcGpAagBpkGkAaFBnkGaQZXBkMGLgYYBgIF7QXZBcYFtAWjBZIFgQVwBWEFUwVHBT4FNwUxBSoFIAUSBP8E6ATOBLMEmQSDBHIEZQRcBFUETARBBDEEHAQEA+oD0QO8A6wDoQOaA5YDkQOKA34DbwNdA0gDNAMiAxEDAQLwAtsCwAKdAnACPAICAcUBiAFOARgA5gC1AIQATwAV/9b/kv9M/wb+xf6J/lX+J/3//dr9tf2P/Wf9Pf0R/OT8ufyP/Gf8Qfwb+/T7y/ug+3P7RfsX+ur6wPqX+nL6Tvos+gz57PnO+bH5l/l/+Wr5V/lE+TH5HvkJ+PX44vjR+MT4vPi5+Ln4u/i7+Lb4qviV+Hf4UPgh9+/3vPeM91/3OPcX9vv24/bO9rr2pfaQ9nn2YvZL9jX2IPYO9f/18vXm9dr1zPW89an1k/V69WD1RvUt9Rf1BPTz9OT01fTF9LP0n/SI9HH0WfRE9DD0HvQN8/zz6vPV873zovOG82vzUPM38yDzCfLv8tHyrPKC8lPyIfHy8crxq/GY8ZDxkfGX8Z7xofGd8ZTxhvF38WzxaPFt8XnxifGX8Z3xlPF48UfxAvCw8FXv+++o72PvMe8S7wbvC+8d7zjvV+9275Hvpe+w76/vpO+O73LvUe8x7xXu/+7x7uru5u7j7truyu6u7ojuWu4m7fPtxO2c7XztYu1L7TPtFuzx7MXslexj7DbsEuv66+7r7Ovy6/nr/Ov56+7r2uvA66PriOtw61zrTOs+6y/rHusK6vTq3urM6sHqvurG6tfq7esF6xrrKOsu6y3rJesb6xLrD+sS6xvrJ+s06z3rPes06x/rAere6rrqmeqA6nDqaupu6nfqg+qO6pTqleqN6n7qaOpM6i3qDenr6cvpremS6XrpZ+lX6U3pR+lF6UfpS+lR6VjpXulk6Wnpa+ls6Wzpaulo6WbpZell6Wfpaulv6XTpeel+6YHpgumB6X7peelz6W3pZulf6VfpTulE6TfpKOkW6QPo7+jb6Mrou+ix6Kvoqeir6K7osui16LTor+im6Jjohehw6FvoRug26CroJegl6CzoNuhC6E3oU+hU6E3oPugo6A3n7ufQ57Xnn+eQ54fnhOeG54nnjeeQ55DnjeeJ54Xng+eD54nnk+eh57PnxufY5+nn9ugB6AroEegZ6CLoLeg86E3oX+hy6ITolOig6KrosOi06Lbotui26LfouOi66L7ow+jJ6NDo2Ojh6Ono8Oj26Pro/Oj86Pvo+Oj16PPo8ejx6PLo9ej56P7pA+kK6RDpF+kd6SPpKOks6S3pLekr6SjpJekj6SLpJekr6TTpQelQ6WDpb+l86YjpkemY6Z7po+mp6bDpuOnC6c3p2Onk6e/p+eoD6gzqFOod6ibqMOo76kjqVupm6nfqiOqa6qzqvOrM6tvq6ur46wXrE+sh6y/rPetM61rraOt164Lrj+ud66rruevK69vr7uwB7BPsJew17ETsUexd7GjsdOyA7I7sneyu7MHs1Ozo7PvtDu0h7TTtR+1c7XHtiO2f7bftzu3l7fruDu4f7jDuP+5O7l7ubu6A7pPuqO697tLu6O797xLvJu86703vYO9z74Xvme+t78Lv1+/u8ATwGvAv8EHwUfBd8GbwbfBz8Hjwf/CI8JTwo/C18Mjw3fDy8QfxG/Ev8UTxWfFv8YbxnvG08cjx2PHk8evx7/Hw8fDx8vH38gDyDfId8i/yQPJP8lzyZfJs8nLyePJ/8onylvKl8rTyxPLR8tvy4fLk8uXy5fLm8uny7/L48wPzEfMg8y/zPvNL81fzYvNt83fzgfON85nzpfOy87/zzPPX8+Lz7PP28//0CPQS9B30KfQ39Eb0VvRo9Hv0j/Sk9Lj0y/Td9O30+/UI9RP1HvUp9Tf1R/VZ9W/1h/Wf9bf1zPXe9ev19PX59f32AvYJ9hL2HvYs9jv2R/ZP9lL2UfZO9kz2TfZX9mr2h/av9t33Dvc/9233lPe399b39PgV+Dv4aPia+ND5B/k5+WL5gfmV+Z75oPme+Z35n/mo+bf5zPnk+f36FPoo+jf6QvpK+lH6V/pf+mr6d/qH+pn6rvrE+tz69vsR+y77TPtr+4z7rPvN++78Dvwv/E/8bvyN/Kv8x/zh/Pj9Df0f/TD9QP1Q/WP9ef2U/bP91/4A/iv+V/6B/qn+zP7p/wL/F/8s/0L/Xf9//6r/3wAbAFsAnQDbARMBQAFkAX0BjgGbAaYBtQHJAeMCBAIpAlACeQKhAscC7QMUAz0DaQOaA84EBAQ5BGoEkgSwBMAEwQS1BJsEeAROBCAD8QPEA5oDdQNVAzoDIwMPAv0C6wLZAsYCsgKeAowCfAJvAmgCZwJrAnQCgAKNApoCowKnAqQCmgKKAnMCVgI2AhMB7wHLAagBiAFrAVMBPwExASgBJAElASkBMAE5AUQBTwFaAWYBcgF+AYoBlgGgAaoBswG6Ab8BwwHFAccBxwHGAcQBwgG/AbwBuAGzAa8BrAGoAaYBpAGjAaIBoQGgAaABnwGfAaABoQGkAagBrQGyAbkBvwHEAcgBywHMAcsBygHIAccBxQHFAccByQHLAc4B0AHRAdABzgHKAcMBvAGzAaoBoAGWAYwBggF4AW0BYwFYAUwBQQE2ASwBIwEbARQBDgEJAQUBAQD+APsA+QD3APYA9gD3APkA/AD/AQIBBgEKAQ0BEAETARYBGAEbAR0BIAEiASUBJwEqASwBLgExATQBNwE7AT8BRAFKAVABVwFeAWYBbgF1AX4BhgGOAZcBnwGnAbABtwG/AcYBzgHVAdwB5AHsAfMB+wICAgcCDAIQAhMCFQIYAhwCIQInAjACOgJFAlECXQJpAnUCgAKLApYCogKuAroCxwLTAt4C6QLzAvwDBgMRAx0DLQNAA1UDawOCA5YDpwOzA7oDuwO2A64DowOYA40DgwN7A3YDcgNxA3MDdwN+A4kDlwOpA74D1APqA/4EDQQYBGcEaARkBF8EWARTBFEEUgRWBF0EZQRvBHkEhASQBJ8EsATEBNwE9QUPBSkFQQVWBWkFdwWEBY0FlQWaBZ0FnQWZBZMFiwWCBXsFeQV+BYwFowXBBeQGCAYpBkMGUgZXBlIGRwY5BiwGJgYoBjQGSQZkBoQGpAbABtgG6gb1BvoG+gb2Bu4G4QbRBrsGoAaBBl8GPAYcBgAF6wXgBd0F4wXwBgAGEwYlBjQGPwZIBk0GUAZTBlYGXAZkBm4GewaKBpoGrAa9Bs8G4Qb0BwYHGQcrBz4HUQdjB3QHhAeUB6MHsgfEB9gH8AgNCC0IUQh2CJkIuAjQCN8I5AjhCNgIywjACLoIvAjGCNgI8AkKCSAJLwk0CS0JGgj9CNgIsAiHCGAIPQgeCAQH7QfaB8oHwAe7B78HywfiCAEIKQhVCIIIrAjRCO4JBQkYCSgJOglSCXEJmgnLCgIKPAp0CqgK1Ar2CxALIgstCzQLOQs7CzoLNQsqCxcK/QrbCrQKjApmCkgKMwosCjIKRgpjCokKswrfCwsLOAtlC5MLwgv0DCYMVwyDDKYMvAzCDLYMmAxsDDML9Qu2C3wLSgslCw0LAgsACwQLCgsPCw4LBgr2CuAKxQqpCpAKfApwCm4KdAqACpAKoAqrCq4KqgqdCosKdgpkCloKWgpoCoQKqwrYCwgLMwtTC2ULZQtTCy8K/Aq/CnsKNgnzCbUJfwlRCSoJCQjsCNAIswiTCG4IRQgYB+kHuAeJB10HNgcTBvUG2wbFBrAGnAaJBncGZQZVBkcGPAY1Bi8GLQYsBi0GMAY0BjkGQAZKBlQGXwZqBnIGeAZ5BncGcQZoBl4GVgZPBkoGSAZIBkgGRgZCBjoGLgYeBgwF+QXmBdMFwgWxBaIFkwWEBXUFZAVUBUMFMQUfBQ0E+gTnBNIEvgSpBJUEgwRzBGQEVwRKBDsEKgQXBAID6wPVA8MDtQOtA6sDrgOzA7YDtQOuA6ADigNvA1EDMwMZAwEC7QLaAsUCqwKKAl8CKwHvAa4BbAErAO4AtQCBAFAAH//t/7f/ff8//wD+wf6E/kr+Fv3n/bz9lP1v/Un9Jfz//Nr8tPyO/Gb8P/wW++v7vvuR+2L7NPsH+tz6s/qN+mn6R/om+gb55/nI+az5kPl3+WD5S/k2+SH5Dfj4+OT40vjD+Lj4s/ix+LP4tfi0+K34nPiC+F34Lvf698T3j/dg9zj3GfcD9vL25fbX9sf2s/aa9n32XfY+9iL2CfX29ej13vXU9cn1uvWn9Y/1cvVT9TT1FvT79OX00vTC9LL0ovSP9Hr0Y/RM9DX0IPQP9ADz8/Pm89fzw/Or84/zcPNR8zPzGvMF8vPy4vLQ8rnym/J18kryHPHx8czxtPGo8ajxsvHB8c/x1vHV8cnxtfGd8YbxdPFq8Wjxa/Fv8WzxXfE78QbwvfBl8AXvpe9O7wbu0+647rPuwe7d7wLvKu9O72vvfe+D73zva+9S7zTvF+797uru3+7c7t/u5O7m7uPu1e677pfuae417f/ty+2b7W/tRu0f7Pbsy+yc7GzsPOwR6/Dr2evP69Dr2Ovi6+nr6Ovb68Lrn+t160rrIusA6ubq1OrG6rzqseqk6pXqhup56nDqb+p26oXqmeqx6sjq2+rn6u7q8Orv6u7q8Or06vvrA+sJ6wnrAury6trqu+qa6nnqXupK6kHqQepJ6lbqZep06n7qg+qC6nrqbepb6kbqL+oW6fzp4enF6anpjul16V3pSOk26SfpHOkV6RLpEukU6RjpHekj6SjpLOkv6THpMuky6TPpNek36TzpQelG6UzpUOlT6VTpUulP6UrpRulB6T7pOuk36TPpLekk6RfpB+jz6N7oyOiz6KHolOiM6InoieiL6I3ojuiK6IPoduhl6FHoPOgo6BfoCegB5/3n/Of95//n/uf55/Dn4ufP57rno+eN53nnaudg51rnWudc52HnZudq52znbedt52znbedw53XnfueL55rnque758vn2efl5+7n9+f96AToC+gT6B3oJ+gy6D7oSehU6F3oZOhq6G/oc+h26HnofeiB6IbojeiV6J7op+iw6LfovejA6MDovei46LLoq+il6KDoneib6Jzonuih6KborOiy6LnowejJ6NHo2ejg6OXo6Ojo6Ofo5Ojg6N7o3ujg6Ofo8ej+6Q3pHuku6T3pSulV6V/pZ+lv6XfpgOmL6ZfppOmy6cDpzenY6eLp6+ny6fjp/uoG6g/qGuon6jbqSOpa6m3qgOqS6qLqseq/6szq2Orl6vLq/+sO6x3rLOs760vrWutp63jriOuZ66rrvevP6+Lr9ewG7BbsJOwy7D/sS+xZ7GfsduyG7Jfsqey77M3s4Oz07QjtHO0y7UntYe167ZLtqu3A7dbt6u397g/uIu407kfuW+5w7oXumu6v7sPu1+7q7v7vEe8k7zfvS+9e73HvhO+W76nvvO/Q7+Pv9vAJ8BvwKvA38ELwS/BT8FvwZPBw8H7wj/Ci8LjwzvDm8P3xFfEu8UfxYvGA8Z/xvvHc8fbyDPIb8iLyI/If8hjyEfIN8gzyEfIa8ifyN/JG8lPyXvJm8m3ycvJ48n/yifKU8qDyrfK48sDyxvLJ8snyyfLK8s7y1PLe8uzy/fMP8yDzMvNB807zWfNj82vzdPN884XzjvOX86DzqvOz87zzxfPO89nz5PPw8/30C/Qb9Cz0P/RT9Gf0ffSS9Kf0uvTL9Nn05fTv9Pf0//UJ9RX1JvU79VP1b/WL9aX1vfXP9d315/Xu9fT1+/YE9hD2HfYp9jP2OfY49jL2J/Yc9hX2F/Yl9kH2a/ag9tz3GvdU94X3rPfI99z36/f5+Az4JPhE+Gn4kfi4+Nn49PkG+RH5F/kc+ST5MflE+V75fvmg+cL54Pn6+g36HPon+jD6OfpF+lT6Z/p9+pb6sfrN+uz7C/st+1D7dPua+8H75/wL/C78T/xs/If8oPy4/M785fz7/RL9KP0+/VT9av2B/Zj9sP3K/ef+Bv4o/kr+bf6O/q3+yf7h/vf/C/8f/zf/VP96/6j/3wAeAGEApgDoASUBWQGDAaQBvQHQAeEB8gIFAhwCOAJYAnsCoALHAvADGQNEA3IDowPXBA4ERQR7BK0E2AT4BQ0FFAUNBPkE2QSwBIAETQQYA+MDsgOEA1sDNgMVAvcC2wLAAqUCiwJyAlwCSAI6AjECLgIxAjkCRAJPAlkCXgJdAlUCRgIvAhMB8wHQAawBiQFnAUgBLAESAPwA6QDbANAAyQDGAMcAzADTAN0A6QD1AQIBDwEcASkBNAE/AUoBUgFaAWEBZgFrAW4BcAFxAXIBcgFxAXEBcAFvAW4BbQFsAWwBawFrAWsBawFrAWwBbQFuAXABcwF2AXsBfwGEAYgBjAGQAZIBlAGVAZUBlAGUAZMBkwGUAZYBmAGaAZ0BnwGgAZ8BnQGZAZMBiwGBAXYBawFgAVQBSAE9ATIBJwEcAREBBwD8APIA6QDiANsA1gDTANEAzwDPAM4AzgDOAM4AzQDNAM4AzwDRANMA1gDaAN4A4gDmAOkA7QDvAPIA9AD2APgA+wD9AP8BAgEFAQgBDAERARYBGwEhASgBLgE1AT0BRAFMAVQBXAFkAW0BdQF+AYcBjwGYAaABqQGxAboBwgHLAdQB3AHiAegB7QHxAfMB9gH5Af0CAgIKAhMCHwIrAjkCRwJVAmMCcQKAAo8CnwKwAsEC0gLhAvAC/AMGAw4DFgMeAycDMwNCA1QDaAN9A5ADoQOtA7UDuAO2A7ADqQOiA5oDlAOQA40DjQOOA5EDmAOiA7ADwwPZA/MEDgQpBEEEVARhBNYE2wTZBNQEzQTHBMQExATHBM0E1ATdBOUE7gT4BQIFEAUgBTMFSAVfBXcFjwWlBbgFyQXXBeIF6wXwBfIF8AXrBeIF1QXIBbsFsgWvBbMFwAXWBfIGEgYzBlEGagZ7BoYGiwaLBosGjAaRBpsGqga9BtQG7AcFBxwHMQdEB1MHXgdkB2QHXAdMBzIHDwblBrYGhgZZBjMGFgYEBf0GAAYLBhsGLAY9BkwGWAZhBmgGbwZ3BoEGjQacBqwGvQbOBt0G6wb3BwMHDwccBysHPQdRB2cHfweXB68HxQfbB/AIBQgaCDAISQhjCH4ImQixCMUI0gjWCNIIxgi2CKMIkwiICIYIjQieCLUI0AjqCP8JDAkMCQII7AjOCKoIhQhfCDsIGgf7B94HwgepB5MHggd4B3oHhweiB8gH9ggpCFsIiQivCMwI4QjxCQEJFwk1CWEJmQncCicKdAq8CvoLKwtLC10LYgtdC1MLRws7CzELJwscCw0K+QrfCr8Kmwp1ClIKNQohChcKGQomCjwKWgp+CqcK0wsCCzQLaQufC9UMBwwzDFUMaQxuDGIMRgwcC+cLqwtvCzYLBgrfCsUKtgqwCrAKswq1CrMKqgqaCoQKagpOCjcKJQoeCiIKMApHCmEKewqQCpsKmwqOCnkKXwpGCjUKMAo8CloKhgq9CvYLLAtVC20LbgtYCy0K8QqpClwKDwnJCYsJVwktCQsI7AjQCLIIkAhpCD0IDQfbB6kHeAdLByMHAAbiBskGswagBo8GgAZzBmgGXwZYBlMGTwZNBksGSQZHBkUGRAZGBkkGTwZYBmMGbQZ2BnoGegZzBmcGVgZDBjEGIgYYBhQGFgYcBiUGLQYyBjMGLQYiBhMGAAXtBdoFyAW4BaoFnQWQBYEFcAVeBUkFMwUcBQUE7gTZBMYEtASkBJUEhwR4BGgEVgRBBCkEDgPxA9MDtwOfA40DggN/A4IDiQORA5cDlwOQA38DZwNJAykDCALrAtECvAKpApUCfgJgAjkCCAHQAZEBUAEOANEAmABkADQAB//a/6v/ef9C/wj+zP6Q/lT+HP3p/bn9jv1n/UP9IPz+/Nz8ufyV/G/8R/wc+/D7w/uV+2b7OfsN+uP6u/qV+nD6Tfoq+gf55fnF+aX5iPls+VL5Ofkg+Qj48PjZ+MP4sfij+Jz4mvie+KX4rPiu+Kn4mfh8+FP4H/fl96j3cPc+9xf2+/bp9t721fbM9r72qfaO9m32SfYn9gj18PXf9dX1zvXH9b71r/WZ9Xz1WvU29RL08fTW9MD0r/Sh9JT0hfRz9F70R/Qu9Bf0A/Py8+Tz1/PL87vzpvOM827zTfMt8xDy+PLm8tjyzPK+8qzykvJw8kfyG/Hx8c/xt/Gt8bDxvPHN8d3x5vHl8dnxxPGp8Y3xdfFl8V3xWvFZ8VLxQPEc8OTwmPA979jvc+8X7svulu557nTuhe6m7tDu++8j70DvUu9X70/vPu8m7wzu9O7h7tXu0O7S7tfu3u7g7tzuzu627pPuaO437gLtzu2a7WjtN+0H7Nfspux27EnsIOv/6+jr3OvZ697r5evr6+nr3OvE66DrdOtE6xXq6+rJ6rHqoeqX6pDqiOp/6nLqY+pV6krqRepI6lPqZep86pXqrerC6tLq3url6urq7erv6vDq7+rr6uPq1erC6qrqj+pz6lrqROo06irqJuoo6izqMuo56j7qQupF6kbqRupF6kLqPOo06ijqGOoE6ezp0emy6ZPpc+lU6TbpHOkF6PPo5ejc6Njo2Ojb6ODo5ujt6PPo+Oj96QHpBukM6RPpHOkm6THpOulC6UbpR+lF6UHpPOk36TPpMekx6THpMekv6SjpHOkL6PXo2+jA6KfokOh/6HTob+hv6HHoc+hz6HDoaehd6E3oOugm6BPoAefx5+Tn2OfO58Pnt+er55znjed8523nXudS50nnQ+dA50DnQedD50bnSedL503nTudP51HnVOdZ51/naOdy537ni+eZ56bns+e+58jn0OfX59zn4Ofi5+Tn5ufp5+zn8Of15/voAugL6BToHegm6DDoOehD6E3oV+hg6Gnoceh46Hzofeh86Hjoc+hr6GPoW+hV6FHoTuhN6E7oUOhT6FboWuhf6GToa+h06H3oh+iS6Jvoo+io6Kroquio6KXoouih6KPoqeiy6L7ozOjc6Ozo++kJ6RXpIeks6TfpQ+lQ6V7pbul/6ZDpoOmv6bvpxenN6dLp1+nc6eLp6+n26gXqFuop6j7qUupl6nXqhOqQ6prqo+qs6rXqwOrN6tzq7Or+6xHrJOs360rrXOtu64Drkeui67Prw+vT6+Pr8+wC7BHsIOww7EDsUexh7HLshOyW7Kjsu+zP7OPs+e0Q7SjtQO1Y7XDthu2c7bDtxe3Z7e7uBO4b7jLuSe5g7nbuiu6c7q3uve7N7t7u8O8F7xrvMe9J72Dvd++M76Dvsu/D79Tv5O/08APwEvAh8C/wPfBK8FfwZfBz8ILwkvCi8LPww/DS8OHw8fEC8RbxLvFJ8Wnxi/Gt8c/x7PID8hPyGvIb8hfyEfIL8gjyCfIP8hjyJfIz8kHyTPJW8l7yZPJq8nHyefKD8o7ymfKj8qzys/K38rryvPK/8sPyy/LW8uTy9PMG8xfzKPM380TzTvNX813zY/No823zcvN383zzgvOI85DzmfOk87DzvvPN897z7/QB9BP0JvQ59Ez0YPRz9IX0lfSk9LD0uvTC9Mr00/Tf9PD1BfUf9T31XvV+9Zv1s/XG9dL12vXf9eL15vXs9fT1/fYE9gf2BvX+9fH14/XW9dH12PXv9hf2T/aT9t33Jvdo9573xPfa9+P35Pfh99/34vft9/74Ffgt+EX4Wfhp+HX4gPiL+Jv4svjQ+PX5IPlO+Xz5p/nN+e36CPof+jP6R/pb+nL6i/qn+sb65vsH+yr7Tfty+5f7vfvh/AX8JfxC/Fv8cPyA/I78mvym/LP8w/zW/O39Bv0h/T79W/15/Zf9tf3T/fL+Ef4x/lD+bv6K/qT+u/7P/uH+9P8I/yD/Pf9i/4//xP//AD8AgADBAP4BNQFlAY0BrwHKAeEB9gILAiICPAJZAnoCnwLHAvMDIgNTA4YDugPvBCMEVwSIBLYE4AUDBR8FMgU6BTYFJwUKBOIErwR0BDQD8QOvA3EDOAMGAtsCtgKXAnoCYAJIAjICHQIMAf8B+AH2AfkCAAIIAg4CEAINAgEB7gHSAbEBjAFlAT4BGQD3ANkAvwCoAJUAhQB4AG0AZgBiAGEAZABrAHUAgQCOAJwAqgC4AMQA0ADbAOQA7QD1AP0BBAEKAQ8BEwEXARoBHAEeASABIQEjASUBJwEpASsBLQEvATEBMwE3ATsBPwFFAUsBUQFWAVsBXwFiAWMBZAFkAWQBZAFlAWcBaQFrAW4BcAFyAXQBdAF1AXQBcwFxAW4BawFmAWEBWgFSAUgBPgE0ASkBHgETAQkA/wD1AOwA4gDZANEAyADBALsAtgCzALEAsACxALIAswC0ALUAtgC2ALcAuAC5ALsAvgDBAMUAygDOANIA1gDZANsA3QDeAOAA4gDkAOYA6QDsAPAA9AD5AP0BAgEHAQsBEAEVARoBHwEkASoBMQE4AUABSQFSAVwBZgFwAXoBgwGMAZYBngGnAbABtwG/AcUBywHQAdQB2QHeAeMB6gHyAfwCBwIUAiICMAJAAlACYQJ0AogCnQKzAsoC4AL0AwYDFQMhAysDMgM5A0EDSQNUA2EDcAN/A44DmwOlA60DsgO0A7QDtAOzA7MDsgOxA7EDsQOyA7QDuwPGA9cD7gQMBC4EUwR4BJkEtQTKBU4FVgVWBVAFSAVABToFOAU7BUAFSAVRBVoFYgVpBXEFeQWCBY0FmgWoBbcFxQXSBd0F5gXsBfEF9AX3BfcF9wX0Be8F5wXdBdIFxwW/BboFvAXFBdUF7AYIBicGRwZmBoEGmQasBrsGxQbMBtEG1QbaBt8G5wbyBwAHEgcmBzwHUAdiB2wHbQdkB04HLgcDBtQGogZzBksGLQYbBhQGGAYkBjYGSwZgBnUGiQacBq8GwwbYBu8HBwcfBzYHSwdbB2gHcQd2B3oHfQeCB4oHlQejB7MHxQfWB+cH9ggDCA4IGggmCDQIRAhVCGgIegiJCJMIlgiTCIgIeAhlCFMIRghACEMIUAhlCIAInQi3CMsI1gjXCM0IuwijCIcIawhQCDUIHAgDB+kHzQewB5UHfQdtB2cHbweEB6YH0ggDCDUIYQiGCKEItQjECNQI6QkKCTgJdAm8CgwKWwqlCuMLEAsqCzMLLAscCwcK8wriCtcK0QrOCswKxwq9Cq0Klgp7Cl8KRQovCiEKHAohCi4KRApgCoAKpQrLCvQLHQtIC3ALlwu4C9IL4gvmC94LyQupC4ALUgshCvIKyAqmCo0KfQp2CnQKdgp3CnYKcApkClMKPQonChMKBQn/CgMKDwojCjoKUAphCmoKaApbCkgKMQodChIKFQonCksKfAq2CvILJwtOC2ELXgtDCxQK1QqMCj8J9gmzCXkJSAkeCPoI1gixCIcIWAgkB+0HtAd9B0oHHQb3BtgGwAauBqAGlgaNBocGgQZ9BnoGeQZ4BngGdwZ1BnEGawZjBlsGVAZPBk4GUAZWBl8GZwZvBnIGbwZnBlgGRQYwBh0GDgYEBgIGBgYPBhkGJAYrBiwGJwYbBgsF9gXhBc0FugWqBZwFkAWEBXcFaAVXBUMFLgUXBQEE7ATYBMYEtgSmBJgEiQR4BGQETgQzBBUD9QPTA7IDkgN3A2EDUwNKA0YDRgNHA0UDPgMxAx4DBALlAsMCogKDAmcCTQI2Ah4CBAHlAb8BkwFgASgA7gC1AH4ASwAc//H/x/+f/3T/R/8W/uL+q/5z/jz+B/3U/ab9e/1U/TD9Dfzr/Mn8pvyC/Fv8NPwL++H7t/uN+2T7PPsV+u/6yvql+oD6W/o2+hH57fnL+av5jvlz+Vr5Q/kr+RT4/Pjl+M/4vPiu+KX4o/im+Kz4sfix+Kj4lPhy+EL4CPfH94X3SPcU9uz20fbB9rj2s/as9qD2jfZy9lH2LvYL9e311vXG9b31tvWw9ab1lfV99V71OvUU9PD00fS59Kj0nPST9Iv0f/Rw9Fv0QvQo9A7z9vPi89Lzw/O286bzk/N882HzQ/Mn8w3y+PLp8t3y0/LH8rbynfJ88lTyKfH+8dnxv/Gw8a3xtPG/8cvx0fHP8cPxr/GV8XvxZPFU8UrxR/FE8T3xKvEI8NPwjPA279fvd+8e7tXuoe6E7n7ujO6p7s/u9+8b7zbvRu9L70XvNu8i7wvu9e7j7tTuyu7E7sDuuu6y7qXuke517lLuKe377crtmO1l7TPtAuzT7KbseuxT7DHsFewB6/Tr7+vv6/Hr8evs697rx+um633rT+sh6vbq0uq26qLqluqO6ojqgOp16mbqVepD6jPqKOok6ijqNOpG6lzqc+qK6p7qruq56sDqw+rC6r3qtuqt6qHqlOqH6njqa+pe6lLqSOo+6jTqKuoe6hPqBun76fLp7Onr6e3p9On96gbqD+oV6hbqEuoJ6frp6OnS6brpoemH6W3pVOk66SLpC+j36Obo2ejP6MroyOjI6Mvoz+jT6Nno4ejq6PbpBOkU6STpNOlC6UvpUOlR6U3pRek96TXpLukp6SfpJekj6R7pFekH6PPo3OjD6Knokuh+6HDoZ+hj6GHoYehf6FvoU+hI6DnoKOgW6AXn9Ofl59bnyOe656vnmueI53bnZedU50bnO+c05y/nLect5y3nLucu5y3nLOcq5yrnKucs5zDnNec850XnTedX52Dnaedy53vng+eL55LnmOec557nnuec55nnleeS54/njueQ55bnnueq57jnyOfY5+jn+OgG6BPoHugn6C7oM+g26DboNOgx6CvoJege6BjoEugP6A3oDegO6BDoE+gW6BroHegi6CjoL+g46EPoT+hc6GjodOh86ILohOiD6IHofeh66Hjoeeh96IToj+ib6KrouOjH6Nbo5Ojy6QDpD+kf6THpQ+lW6WrpfOmN6Zvppumv6bXpuum/6cTpzenY6ebp9+oL6h/qNOpH6lfqZepv6nfqfeqC6onqkeqc6qnquurN6uLq9+sN6yLrNutI61rraut664nrl+um67brxuvW6+fr+ewL7B7sMOxC7FTsZux57IzsoOy17Mvs4uz77RPtK+1C7VjtbO1/7ZLtpe257c/t5+3/7hnuMu5J7l/uce6A7o3ume6l7rPuw+7X7u7vCO8k70DvXO9174zvoO+z78Pv0+/j7/PwA/AU8CXwN/BI8FjwafB48Ibwk/Cd8KbwrfCx8LXwuPC98MXw0fDk8PzxGvE88WDxgvGh8bvxz/Hb8ePx5vHn8ejx6vHv8ffyAvIN8hryJfIw8jryQ/JL8lTyXvJp8nXygfKL8pXynfKj8qjyrPKy8rjywfLL8tny5/L38wbzFfMi8y3zN/M+80TzSfNN81DzVPNX81rzX/Nk82zzdvOB85Dzn/Ox88Lz1PPm8/f0CPQY9Cn0OfRJ9Fn0aPR29IP0j/Sb9Kj0t/TK9OH0/fUd9UD1Y/WF9aH1uPXH9c/10PXN9cn1xPXB9b71vfW69bX1rfWh9ZT1iPWC9Yb1mfW+9fT2OvaL9uD3Mfd497D31Pfm9+f33PfL97n3q/el96f3sPe/99H34/f1+Af4Gfgu+Ef4Z/iO+Lz48Pko+WD5mPnM+fz6JvpM+m76jvqs+sr66PsG+yT7Q/ti+4H7oPu++9z7+fwT/Cr8PfxL/FT8Wvxc/F78Yfxm/G/8ffyQ/Kf8wvzg/P/9IP1C/WT9h/2r/c/98v4V/jb+VP5u/oX+mP6p/rf+x/7Y/u7/Cf8r/1P/gv+3/+8AKQBkAJ0A0wEEATEBWQF8AZsBtwHRAesCBgIlAkgCcAKfAtIDCwNGA4EDvAP0BCgEWASEBKsE0ATyBRAFKgU+BUgFRwU3BRgE6ASqBGAEDwO8A2sDIgLjAq8ChwJnAk8COgInAhQCAAHsAdoBywHBAbsBugG8Ab8BvwG7Aa8BmwF+AVsBMgEGANsAsgCMAGwAUAA5ACYAFwALAAH/+//4//j//QAFABAAHgAtAD0ATABaAGcAcgB7AIQAjACUAJwAowCrALIAuAC9AMIAxwDLAM8A1ADZAN4A4wDoAOwA8QD1APkA/QECAQgBDwEXASABKAEwATYBOgE8ATwBOwE5ATcBNgE3ATkBPAFBAUYBSgFMAU0BTAFKAUYBQQE8ATgBMwEvASsBJwEhARsBEwELAQEA+ADuAOUA3ADVAM4AyADCALwAtgCwAKsApwCjAKAAnwCfAKAAoQCjAKQApgCoAKoArACuALEAtQC5AL0AwgDGAMoAzQDQANEA0gDTANMA1ADVANcA2QDbAN4A4QDlAOgA6wDtAPAA8gD1APgA+wD/AQUBCwETARwBJgExAT0BSAFTAV4BaAFwAXkBgAGHAY0BlAGaAaEBqAGvAbYBvgHHAdEB3AHoAfUCAwISAiICMwJGAlkCbwKGAp8CuQLTAu4DBwMfAzQDRgNVA2IDbAN2A38DiAOSA50DqAOyA7wDxAPLA9AD1APYA9sD3gPhA+MD4wPiA98D2wPYA9cD2gPlA/gEFQQ7BGcEmQTKBPgFHgU7BaYFsQWyBasFoQWYBZEFjwWSBZkFowWtBbYFvQXCBcUFxwXJBcoFzQXQBdIF0wXSBc8FygXCBbsFswWtBakFpwWnBacFpgWkBZ8FlwWPBYUFfgV7BX4FiQWbBbYF1gX7BiEGRgZnBoEGkwacBp8GmwaUBowGhgaFBosGmAasBsQG3gb3BwoHFQcUBwgG8AbOBqcGfgZYBjgGIgYXBhcGIwY3BlIGcgaVBroG4AcIBy8HWAeAB6gHzgfxCA8IJwg4CEQISghLCEoISAhGCEUIRQhFCEQIQgg8CDQIKAgbCAwH/wf1B/AH7wf0B/4ICQgVCB4IJAgjCB4IFQgJB/8H+Af3B/0ICwgfCDcITwhkCHQIfAh9CHcIawhdCE8IQQg2CC0IJAgZCAsH+AfhB8gHrgeYB4kHhQeMB58HvAffCAQIKAhGCF4IcAh/CJAIpgjFCPAJJwlnCa0J8woyCmUKiAqaCpwKkQp/CmoKWQpOCksKUQpcCmoKdwqACoIKfQpzCmUKVQpICkAKPQpBCkoKWQprCn4KkQqjCrUKxQrVCuUK8wsBCw0LFQsYCxQLCgr6CuMKxwqpCooKbQpUCkAKMgoqCiUKJAojCiAKHAoUCgkJ/AnvCeUJ3wnfCeUJ8An/Cg4KGgohCiAKFwoHCfQJ4QnUCdMJ3wn8CigKXwqbCtYLCQssCzsLNQsaCuwKsQpuCikJ6AmsCXcJSQkeCPQIyQiYCGAIIwfiB54HXQcgBusGwAagBosGgAZ8Bn4GhAaNBpYGnwaoBq8GtQa5BroGtwaxBqcGmQaJBngGZwZZBk8GSQZHBkkGTAZQBlEGTgZHBj0GLwYhBhUGDAYHBggGDQYVBh4GJAYmBiEGFwYGBfEF2gXCBasFlwWGBXgFawVgBVMFRgU2BSQFEQT9BOkE1ATBBK4EnASKBHcEZAROBDcEHgQDA+YDxwOoA4oDbANRAzgDIwMQAwAC8QLjAtMCwAKqAo8CcQJQAiwCBwHjAb8BmwF4AVUBMQEKAOEAtQCHAFgAKf/7/87/pf99/1j/M/8N/ub+vf6S/mX+N/4I/dv9r/2G/V/9O/0Z/Pf81vy1/JP8b/xK/CT7/fvX+7H7jPtp+0f7J/sI+un6yfqo+ob6Yvo++hn59fnT+bX5mvmD+W/5XflM+Tv5KPkU+QD47fjc+M74xfi++Lj4sPik+I74bvhC+Ar3yveG90P3BvbU9q/2l/aL9of2hvaD9nv2a/ZS9jP2EPXt9c31svWe9Y71gvV19Wb1UPU19RX08vTP9LD0l/SF9Hr0dfRy9G30ZPRV9ED0JvQJ8+vz0fO686jzmvOO84LzdfNl81LzPfMo8xXzBPL38u3y4vLW8sTyq/KK8mPyN/IK8eLxwfGq8Z7xmfGb8Z3xnfGY8YzxevFl8U/xO/Er8SHxGfES8Qbw8fDP8J/wYfAX78fvd+8u7vLuxu6u7qfuse7G7uHu/+8Z7y7vOu8+7zrvLu8e7wnu8u7b7sPurO6V7n7uZu5N7jPuFe307dDtqO187U/tIOzw7MHslOxr7EbsKOwQ6//r9evx6/Lr9ev36/fr8Ovh68rrquuD61jrK+sA6tjqt+qe6orqe+pw6mXqWOpJ6jjqJOoP6fzp7eni6d7p4Onp6fbqB+oZ6irqOupG6k7qUepQ6kzqRuo/6jrqOOo66kDqSupW6mHqaupt6mnqXOpG6inqCOnm6cbprOma6Y/pjemP6ZXpm+mg6aLpoOmc6ZbpkemN6YzpjemO6Y/pjemI6X3pbulb6UTpLekW6QLo8ejk6Nro1OjR6NHo1Oja6OTo8ekA6RLpJOk16ULpS+lO6UvpRek76S/pI+kZ6RHpC+kF6P/o9+jt6N7ozei66KbolOiE6Hfobehn6GLoXehW6E7oQug06CToFOgE5/Xn6efe59Pnyee956/nn+eM53jnY+dP5z7nMOcm5yDnHOcZ5xjnFucT5w/nCucG5wPnAecD5wfnDucW5yDnKuc05zznROdK50/nU+dW51fnWOdX51TnUOdK50PnO+c15zHnL+cy5znnRedU52fne+eQ56TntufH59Tn3ufm5+rn7eft5+3n6ufn5+Pn4Ofc59rn2OfZ59rn3efh5+bn6+fw5/bn/OgC6AnoEugb6CfoM+g/6EvoVuhf6GXoaOho6GfoZOhh6F7oXuhg6GTobOh26IPokeig6K/ov+jQ6ODo8ekD6RbpKek96U/pYelx6X/pi+mU6Zvpoemn6a7ptunB6c/p3+nw6gPqFuon6jfqROpO6lfqXupl6mzqdeqA6o3qneqv6sPq1+rs6wDrE+sm6zbrRutW62Trc+uC65Lro+u068br2evs6//sEuwl7DfsSuxd7HDsheyb7LPsy+zk7P3tFe0r7T/tUu1j7XTthe2Y7a3txO3d7ffuEe4q7kDuU+5i7m7ueO6C7o7unO6t7sLu2+717xLvLu9I72HveO+N76Dvs+/F79fv6e/88A7wIfAy8EPwUvBg8GzwdvB/8IXwifCK8IrwifCJ8IvwkPCa8KvwwfDc8PzxHfE+8V3xePGO8Z/xq/G08brxv/HF8czx1PHd8efx8vH+8gryFvIj8jDyPfJL8lfyY/Ju8nfyfvKF8ovykfKY8qDyqfK08sHyzvLc8uny9vMB8wzzFfMe8yXzLPMx8zbzOvM980HzRPNK81DzWvNm83TzhfOX86nzu/PM89vz6vP49AX0E/Qi9DL0RPRW9Gr0fvST9Kn0wfTb9Pj1GPU59Vv1fPWZ9bL1xPXO9dL1z/XI9b/1tPWq9aH1mPWP9YX1evVv9Wf1Y/Vn9Xj1mPXJ9gn2V/as9wP3VPeY98v36/f29/D33vfE96n3kveC93z3gPeM95/3tvfR9+34DPgt+FH4e/iq+N35FvlS+Y/5y/oG+j76cfqf+sn67vsP+yz7Rvte+3T7ifue+7L7xfvY++n7+fwG/A/8FvwZ/Bn8GPwY/Bn8Hvwn/DX8R/xc/HX8j/yq/Mb84v0A/SD9Q/1o/Y/9tv3d/gL+I/4+/lX+Zv50/oH+jv6e/rL+y/7q/w7/Nv9i/4//vv/uAB4ATQB8AKsA1wECASoBTwFxAZEBsgHVAfwCKQJeApoC3AMiA2oDrwPwBCkEWwSFBKgExgThBPoFEgUlBTIFNgUrBREE5ASmBFkEAgOoA1AC/wK7AoYCXwJEAjICJQIYAgoB+AHiAcsBtAGfAY8BgwF8AXgBdAFtAWABTAExAQ0A5AC4AIsAXwA4ABX/9//f/8z/vP+v/6b/oP+d/5//pP+t/7r/yf/Z/+n/+AAGABIAHAAkACwAMwA7AEMASwBUAFwAYwBqAHAAdQB7AIAAhwCNAJUAnQClAKwAsgC3ALsAvwDDAMgAzgDVAN0A5gDuAPUA+gD+AP8A/gD9APsA+wD8AP4BAgEHAQwBEQEUARUBFAERAQwBCAEDAP8A/AD5APcA9QDyAO0A5wDfANYAzQDEALwAtQCvAKsAqACmAKQAogCfAJ0AmgCXAJQAkgCRAJEAkQCSAJQAlgCYAJsAngCiAKYAqgCvALMAuAC8AMAAwwDFAMYAxwDHAMcAxwDHAMgAyADJAMoAygDLAMwAzADNAM8A0QDUANcA3ADiAOkA8gD8AQcBEgEfASsBNwFBAUsBVAFbAWEBZQFqAW4BcgF3AX4BhQGPAZoBpwG2AcYB2AHsAgACFgItAkQCXQJ2ApECrQLJAuYDBAMhAzwDVgNuA4QDlwOnA7YDxAPRA90D6APzA/0EBQQLBBAEEgQUBBUEFwQZBBwEHwQhBCIEIAQbBBMECAP+A/YD9QP9BBAEMARbBJAEywUGBT0FbAWPBcIFzgXPBckFwAW3BbEFsAW0BbwFxwXSBdsF4gXlBeUF4wXgBd0F2gXXBdMFzQXFBbkFqgWYBYQFcQVgBVMFSQVFBUQFRAVEBUMFPgU2BSsFHgUTBQsFCgUSBSIFOwVbBX8FpAXHBeMF+AYEBggGBAX9BfQF7gXuBfQGAwYZBjUGUwZwBogGmQagBp0GkAZ7BmEGRwYuBhsGEAYPBhkGLQZLBnIGoAbUBwwHSAeFB8QIAQg8CHMIowjNCPAJCgkcCSgJLgkuCSwJJgkeCRMJBAjxCNkIugiXCG4IQwgWB+wHxwepB5QHiAeHB44HmwerB7wHygfWB9wH3wfeB90H3AfdB+IH6wf3CAUIEggdCCQIJwglCCEIGwgVCBMIFAgYCCAIKAguCC8IKwggCA8H+QfiB80HvQe0B7MHuwfJB9oH7ggACBEIIAgvCEAIVwh1CJwIzAkCCTsJcwmkCcsJ5QnyCfIJ6gneCdEJygnKCdMJ4wn6ChQKLQpCClIKXApgCl8KXQpaCloKXQpjCmsKdAp7CoAKgQp9CncKbgpkClsKUwpOCksKSwpLCksKSQpFCj0KMwomChcKCAn5CewJ4AnXCc8JxwnBCboJsgmrCaMJngmbCZ0JogmsCbkJxwnVCd4J4gndCdEJvgmmCY8JfAlzCXgJjAmvCeEKHQpbCpcKygrtCv4K+wrlCr8KjQpWCh0J5gm0CYYJXAkzCQgI2AihCGIIHAfRB4QHOQb0BrkGigZpBlUGTgZTBmAGcwaKBqIGugbOBuAG7Ab0BvUG8QbnBtcGwwasBpQGfAZnBlQGRQY7BjQGLwYsBikGJgYiBh0GGAYUBhIGEwYXBhwGIwYpBi0GLQYnBhwGCgX0BdsFwAWmBY4FeQVmBVYFSAU7BS8FIQUSBQIE8QTeBMoEtgShBIsEdARbBEIEJwQMA/AD1QO6A58DhgNsA1QDOwMhAwgC7QLSArcCmwJ/AmICRAIlAgQB4QG8AZQBagE9AQ8A3wCvAH4ATQAe//D/xP+a/3P/Tv8r/wv+6/7M/q3+jf5s/kn+Jf3//dr9tP2Q/W39Tf0u/RH89fza/L78ofyC/GL8QPwc+/j70/uu+4v7avtL+y/7Ffr7+uL6yPqs+o36bPpJ+iX6Afnf+cH5pvmR+X/5cflk+Vf5Svk6+Sn5FfkA+Ov41vjB+Kr4kfhz+E74IPfr96/3b/cu9vH2vPaT9nb2ZvZh9mL2ZfZm9mL2VPY+9iD1/PXX9bP1kvV19Vv1RPUu9RX0+vTb9Lr0mfR69GD0TPRA9Dr0OPQ39DT0K/Qc9Afz7PPO87DzlfN/827zY/Nb81XzT/NH8z3zMPMi8xTzB/L78vDy5fLY8sbyrvKO8mnyP/IT8ejxwfGi8YnxefFt8WbxX/FX8UzxP/Ew8R/xD/EA8PLw5PDS8LzwnvB38EbwDe/P74/vUu8c7vDu0O697rbuue7D7tHu4O7t7vju/u8B7v7u9+7q7tnuw+6o7oruaO5E7iDt/O3Z7bbtlO1y7U/tKe0A7NTspux47ErsIev96+Lr0OvI68rr0uve6+zr9+v96/zr8evc67/rmutw60PrFurq6sLqn+qA6mbqUOo86irqGOoH6fXp4+nQ6b7premf6ZTpjOmJ6Yvpkumc6anpt+nE6c7p1enZ6drp2unb6eDp6+n+6hnqO+pg6oXqpOq46r7qtOqa6nHqP+oI6dHpnul06VPpO+kq6R7pE+kJ6P7o8+jq6OXo6Oj06QnpJulJ6W3pj+mq6bvpwem96a7pmOl+6WPpSeky6R7pDukC6Pno8+jv6O7o8ej26P7pCekT6R3pJekp6SrpJukg6RfpDekD6Pvo9Oju6Ojo4uja6NDoxOi26KfomOiL6H/oduhv6GjoYeha6FDoROg26CjoGugN6ALn+efy5+vn5Ofa587nvOen55Dndudc50XnMech5xXnDecH5wPnAOb75vbm7+bp5uPm3ubc5t7m4ubp5vPm/ucI5xLnG+ch5yTnJeck5yDnG+cT5wvnAeb35u7m5ubg5t7m3+bl5vDm/+cR5yXnO+dQ52TndueF55Hnmueh56XnqOep56nnqeep56nnqeep56vnreex57bnvOfD58rn0ufb5+Pn7Of05/3oBugO6BfoIOgp6DLoOeg/6EToSOhJ6EroSuhK6EvoTehQ6FXoXOhm6HHofeiM6Jvoq+i76Mzo3ujw6QLpE+kl6TXpRelU6WHpbOl26X/ph+mQ6Zjpoems6bfpxOnR6eDp7un86grqFuoj6i/qOupG6lPqYOpu6n3qjeqd6q7qv+rQ6uHq8esC6xLrIusz60PrU+tk63XrhuuY66vrvevQ6+Lr9OwH7BjsKuw97FDsZOx67JHsqezB7Nrs8e0H7RvtLu0/7U/tYO1y7Ybtne227dDt7O4G7h/uNu5J7lnuZ+507oDuje6c7q3uwO7V7uvvA+8a7zHvR+9d73Lvh++b77Dvw+/W7+fv+PAG8BPwH/Ar8DXwQPBK8FTwXfBl8GzwcfB28HzwgvCL8Jfwp/C78NLw7PEI8STxPvFV8WnxefGF8Y7xlfGa8aDxpvGu8bfxwvHP8d3x7fH88gzyGvIo8jTyP/JI8k/yVvJd8mPya/J08n7yifKV8qHyrvK68sXy0fLc8ujy8/L/8wrzFPMd8yXzKvMu8zDzMvM18zrzQvNO817zcPOE85nzrvPB89Hz3/Ps8/n0BvQV9Cf0PPRV9HH0j/Sv9ND08fUR9TH1UPVt9Yj1ofW39cn11vXg9eT15vXl9eL13vXZ9dX10PXK9cT1vvW69bj1vfXJ9eH2BvY49nf2vvcL91f3nPfW+AH4G/gj+Bz4Cvfy99j3wvez9633sffA99f39PgX+D74Z/iS+L/47vke+VH5hvm8+fP6Kfpd+o76vPrl+wn7KPtB+1X7ZPtx+3v7g/uL+5P7nPul+637tfu7+8D7wvvE+8f7y/vS+9377PwA/Bj8MfxL/GT8e/yR/KX8ufzP/Oj9Bv0p/U/9eP2h/cj96/4I/iD+Mv5B/k7+Xv5v/ob+oP6+/t7/AP8h/0L/Yv+D/6b/y//0ACIAUgCFALcA6AEVAT4BZQGLAbQB4QIVAlICmALlAzUDhAPQBBMESwR5BJwEtwTLBNwE6wT2BP4E/gTzBNkEsAR3BC8D3AOFAy8C4AKdAmkCRQIuAiACGAISAggB+QHkAcoBrgGSAXgBYgFRAUMBNgEpARgBAgDmAMQAnQB0AEoAIv/9/93/wf+r/5j/if99/3P/bP9o/2j/bP9z/37/iv+Z/6f/tP/A/8r/0//a/+H/6f/w//kAAwAMABUAHQAjACkALQAxADYAOwBBAEkAUgBaAGMAagBwAHUAeAB6AH0AgACEAIoAkQCYAKAApgCsALAAsgCzALMAtAC1ALgAuwDAAMQAyQDNAM8A0ADQAM4AzQDLAMoAyQDIAMgAxwDEAMEAuwC1AK0ApACcAJUAkACMAIoAiQCKAIoAiwCLAIoAiQCIAIYAhACCAIEAgACAAIEAggCDAIYAiQCMAJEAlQCaAKAApACpAK0AsQC0ALYAuAC5ALoAuwC7ALsAugC5ALcAtgCzALIAsQCwALIAtAC4AL4AxgDOANcA4QDrAPUBAAEJARMBGwEjASsBMQE2ATsBPwFDAUgBTQFUAVwBZwF1AYUBmQGvAcgB5AIBAiACQAJhAoMCpQLIAuoDDQMvA08DbgOLA6UDvAPQA+ID8gQBBA4EGwQnBDMEPQRGBEwETwRPBE0ESQREBEAEPQQ9BD4EQQREBEUEQwQ8BDIEJAQVBAkEAwQHBBgENgRiBJkE1gUVBVAFggWpBaYFsQWxBaoFnwWUBY0FiwWOBZYFoAWrBbUFvAXBBcIFwgXBBcEFwQXBBcEFwAW7BbEFogWOBXcFXQVEBS0FGgUMBQME/AT4BPME7QTkBNcEyQS6BK4EpQSjBKgEtQTIBN8E+QUTBSkFOwVHBU8FUgVUBVcFXgVpBXsFkwWvBc8F8AYOBigGPAZIBk0GSgZDBjcGKgYfBhYGFAYYBiUGOwZbBoUGuAb1BzgHgQfNCBkIYginCOQJGQlFCWYJgAmRCZwJogmjCaAJmAmLCXcJXAk4CQ0I2QifCGEIIwfnB7IHhgdlB1EHSQdNB1sHcQeLB6YHwAfXB+kH9gf+CAMIBAgECAQIBAgECAQIBAgDCAEH/Qf6B/YH9Qf2B/sIBAgRCCAIMQg/CEoITwhOCEUINwglCBEH/QfsB98H1wfUB9UH2AfeB+YH7wf7CAwIIgg+CGEIiwi4COYJEgk5CVgJbAl4CXsJeQl0CXIJdAl8CYwJogm9CdoJ9goPCiQKMwo9CkQKSQpOClQKWwpiCmoKcApyCnAKaApaCkkKNAoeCgkJ9wnoCd0J1gnSCdEJ0AnQCc8JzAnJCcQJvQm2Ca4JpQmbCZAJhAl3CWoJXglUCU0JSglOCVYJZAl2CYgJmQmlCaoJpgmZCYMJZwlJCS4JGgkRCRgJLwlWCYkJxgoFCkAKcwqYCqwKrgqhCoUKYAo2CgkJ3gm2CZAJawlGCR0I7Qi2CHUILAfeB4wHOwbvBqwGdgZNBjQGKgYtBjwGUgZuBowGqgbEBtoG6gbzBvUG8QbnBtgGxgaxBpoGhAZuBloGSAY4BisGIAYWBg8GCgYHBgYGCAYMBhQGHQYnBjEGOQY+Bj8GOgYwBh8GCgXxBdYFuwWgBYcFcQVdBUwFPAUtBR8FEQUDBPME4wTSBL8EqwSUBHsEXwRBBCEEAAPfA74DnwOCA2gDTwM4AyIDCwLzAtkCvQKeAn4CXQI7AhkB9wHUAbEBjAFkATkBCwDYAKMAawAy//n/wf+N/13/Mv8M/uv+zv60/p3+hv5v/lb+PP4g/gP95P3E/aT9hP1m/Uj9K/0Q/Pb83PzC/Kn8jvxy/FX8NvwW+/T70fuv+437bPtN+zH7F/r/+uf6z/q1+pn6evpY+jT6D/nr+cn5q/mS+X35bPle+VL5Rfk3+SX5EPj3+Nv4vPiZ+HT4TPgg9/D3u/eE90r3EPbZ9qj2f/Zh9k32RPZD9kf2TPZN9kn2PfYp9g316/XG9aD1fPVZ9Tn1G/T99N/0v/Sf9H70X/RE9C70HfQT9A70C/QJ9ATz+/Ps89bzvfOh84XzbPNX80jzPvM48zXzMfMs8yXzG/MQ8wPy9/Lr8t/y1PLH8rfyo/KJ8mnyRPIb8fHxyPGi8YHxZvFP8T7xMfEn8R7xFvEO8QXw+/Dv8N/wyvCv8I7wZfA28ALvy++T717vLu8G7uXuze687rHuqe6l7qLun+6d7pvume6X7pTuj+6G7nruaO5Q7jPuEu3u7crtp+2H7WjtS+0u7RDs7uzI7J3sbuw+7BDr5uvG67Drpuuo67Trxuvc6+/r/uwD6//r8OvY67brj+tk6zjrC+rg6rjqkupv6k/qM+oa6gTp8uni6dXpyem96a/poOmQ6YDpcell6V7pXOlg6WrpeOmH6Zfpo+ms6bHptOm46cDpz+np6g7qPOpx6qXq1Or36wjrBers6sDqhepC6fvpuOl86UnpIOj+6OLoyOiv6JfogOhu6GToZeh06JHou+ju6SbpXemO6bTpzenY6dbpyum46aLpjOl46WfpWOlM6UHpNukr6SDpFukM6QXpAOj96Pzo/Oj96P3o/ej66Pjo9Ojx6O7o7Ojq6Ojo5Oje6NXoyui86KzonOiM6H7ocuhp6GLoXOhX6FHoS+hE6D3oNugv6CroJugi6B3oF+gN5//n7OfU57jnmed551rnPucn5xXnCOb/5vjm8+bu5ujm4ebY5s/mx+bB5r7mv+bD5svm1ebh5uzm9ub95wDm/+b65vLm5ubZ5svmv+az5qvmpuam5qrmsua95szm3ebv5wLnFOcl5zTnQudN51fnX+dm52zncOd053jne+d953/ngueE54jnjOeS55nnoeer57XnwOfL59bn4Ofp5/Hn+Of/6AXoCugP6BXoGugf6CPoKOgs6DDoNOg46D3oQehG6EzoUuha6GPobuh66Ifoleik6LToxOjV6OXo9ekF6RTpIukw6T3pSelV6WHpbOl36YHpi+mV6Z7pqOmx6brpxOnO6dnp5un06gLqEuoj6jTqRepW6mfqduqF6pPqoeqw6r7qzerd6u3q/usQ6yLrNetH61nra+t964/roeuz68Xr2Ovq6/zsDuwg7DLsRexY7G3sguyZ7K/sxuzc7PHtBe0Y7SrtPO1P7WPtee2R7avtxu3i7f3uF+4v7kXuWe5r7nvuiu6Z7qjut+7H7tju6u787w/vI+8370zvYu9374vvnu+w77/vzO/Y7+Lv6+/07/3wCPAV8CLwMfBB8E/wXfBq8HXwgPCK8JXwofCv8L/w0vDm8PvxD/Ej8TXxRPFQ8VrxYvFp8W/xdfF98YfxkvGf8a7xvvHN8d3x6/H38gLyC/IU8hzyJPIt8jfyQvJP8lzyavJ38oPyjvKY8qPyrvK58sfy1fLm8vbzBvMU8x/zJ/Ms8y7zL/Mx8zbzP/NN82Lze/OY87bz0/Pt9AP0FPQh9Cz0NvRC9FP0aPSD9KT0yvTy9Rv1Q/Vo9Yn1pfW99dD14PXu9fn2BPYO9hn2I/Yu9jn2RPZO9lf2X/Zk9mj2a/Zt9nL2evaI9p32u/bh9xD3Rvd/97f37fgb+ED4Wfho+Gv4aPhe+FP4SvhF+Eb4Tvhf+Hf4lfi5+OH5C/k2+WL5jfm3+eD6B/ou+lP6dvqY+rj61Pru+wP7FPsg+yj7Lfsw+zH7M/s1+zn7P/tG+0/7V/tg+2f7bvt2+3/7i/ub+6/7yPvk/AL8H/w7/FP8Z/x4/If8lfym/Lv81fz1/Rr9Qv1q/ZD9sv3O/eX9+P4J/hv+L/5H/mP+g/6l/sX+5P7+/xX/Kv8//1b/c/+Y/8X/+gA0AHEArADjARMBPQFiAYUBqgHVAgkCSAKQAt8DMwOEA9AEEQRGBG8EjASfBKwEtAS5BLoEtgSqBJQEcQRABAIDugNsAxwC0gKRAlwCNQIbAgsCAgH6AfEB5AHRAbkBnQF/AWIBRwEvARoBBwDzAN4AxQCpAIgAZQBAABz/+v/b/8D/qv+X/4f/ev9v/2X/Xf9X/1T/VP9Y/1//aP9y/33/h/+Q/5j/n/+l/6v/sv+6/8P/zf/X/+H/6f/w//T/9//5//v//gABAAcADgAWAB4AJgAtADMANwA6AD0APwBCAEUASwBRAFgAXwBlAGsAbwByAHQAdQB3AHgAewB+AIIAhgCKAI4AkgCVAJcAmACZAJoAmwCcAJwAmwCaAJgAlACQAIwAhwCDAH8AfAB6AHkAeAB4AHgAeAB4AHYAdQBzAHEAbwBuAGwAawBqAGkAagBrAG0AbwBzAHgAfQCDAIkAjwCVAJoAngCiAKQApwCqAKwArQCvAK8ArwCtAKsAqAClAKIAoACfAKAAowCnAK4AtQC9AMUAzADSANcA2wDfAOMA5gDqAO4A9AD6AQEBCQESARwBKAE1AUUBVwFsAYUBoQHAAeICBgIsAlQCfQKmAtAC+QMiA0kDcAOTA7QD0gPrBAEEEgQgBCsENAQ7BEMESwRSBFoEYARjBGQEYQRaBFAERQQ5BC8EKAQkBCUEKQQuBDIENAQyBCsEIAQUBAkEAwQGBBQEMARZBIwExQUBBTkFaQWOBXQFeQVzBWYFVgVGBTkFMgUxBTUFPgVKBVYFYQVqBXIFeQV/BYYFjQWUBZwFoQWjBaAFlwWJBXUFXQVDBSkFEAT7BOoE3ATRBMgEvwS0BKkEnASOBIEEdgRvBGsEbARyBHoEhQSSBJ4EqwS3BMME0QTgBPIFCAUiBT4FXQV9BZwFugXWBe0GAAYPBhsGIgYmBigGKAYnBiUGJQYoBjAGPwZXBnoGpwbfByEHaQe1CAEISgiMCMUI9AkZCTQJSAlWCV8JZQlpCWgJYwlYCUQJKAkCCNIInAhhCCUH6we3B4wHbAdZB1IHVwdlB3wHlwe2B9UH8wgOCCQINQhACEYIRwhECD0INAgpCB0IEwgKCAMH/wf9CAAIBggPCBsIKQg5CEkIVwhjCGsIbwhvCGoIYQhVCEgIOggtCCEIFwgPCAkIBQgDCAMIBggNCBkIKghBCF0IfgigCMMI4wj+CRQJIgkpCSwJLAksCS8JNglDCVYJbgmJCaQJvwnWCeoJ+AoDCgsKEgoYCh8KKAoxCjoKQQpGCkYKQQo4CikKFwoDCe4J2gnICbgJqwmgCZgJkgmNCYoJhwmFCYQJggl/CXsJdQltCWEJUwlDCTIJIwkWCQ0JCwkOCRgJJgk3CUcJVQlbCVoJTwk7CSAJAQjiCMgItgixCLsI1Qj8CS4JaAmjCdsKCwovCkYKTgpJCjgKHgn/Cd0JuQmWCXMJTgknCPsIyQiPCEwIAwe1B2UHFgbLBokGUwYqBg8GAwYEBg8GIgY7BlUGbgaEBpYGogapBqsGqQajBpsGkQaGBnoGbgZiBlQGRwY5BisGHQYRBgcF/wX7BfsF/wYHBhEGHQYpBjQGPAZABj8GOQYuBh0GCAXxBdgFvgWlBY0FdgVhBU0FOwUqBRoFCgT7BOwE3QTMBLsEpwSRBHcEWwQ7BBkD9gPSA64DjANtA08DNAMaAwIC6QLQArYCmgJ9Al8CQAIhAgIB4wHDAaIBfwFYAS4A/wDMAJYAXQAj/+r/s/9//1D/Jv8B/uH+xf6s/pX+f/5p/lP+Pf4k/gv98f3V/bj9mv17/Vr9Ov0Z/Pj82Py5/Jv8f/xj/Ef8K/wO++/7z/uu+4v7aPtG+yb7CPrs+tH6t/qd+oH6Y/pC+h/5+fnT+a75i/ls+VH5Ovko+Rf5B/j2+OL4y/iu+I34Z/g++BH34few9333SfcW9uP2s/aH9mH2QvYq9hr2EfYN9gz2DPYJ9gL19fXi9cr1rfWN9Wv1SvUp9Qr07PTO9LH0k/R29Fr0QPQp9Bf0CvQB8/vz9/Pz8+zz4fPS873zpfOL83HzWfNF8zTzKPMf8xnzEvMK8wHy9vLp8tvyzfLA8rTyqPKd8pHygvJv8ljyPPIb8ffx0fGr8YbxZPFH8S/xHPEP8QbxAfD+8Pvw9/Du8ODwyvCt8IfwW/Aq7/Xvwe+P72LvO+8b7v/u6O7U7sHure6Y7oLubO5Y7kXuNu4q7iDuF+4N7gLt8u3e7cftrO2R7XftXu1J7TbtJO0R7Pvs4Oy+7JXsZ+w47Arr4uvD67Drqeuu67zrz+vi6/Hr+Ov26+nr0+u065DraOs/6xfq8OrK6qbqhOpj6kTqKOoQ6f3p7+nl6d7p2enT6cvpvumu6ZvpiOl26WnpY+lm6XDpgemU6ajpuOnC6cfpx+nF6cbpzunh6gHqLepi6pvq0er86xbrGusI6uDqp+pi6hnp0emQ6VnpLOkI6Oroz+i26J3ohuhx6GPoX+ho6H3on+jM6P3pL+ld6YLpm+mp6a3pqOmf6ZTpi+mG6YPphOmF6YXpgul66W/pX+lM6TnpJukU6Qbo++jy6Ozo6Ojl6OTo4+jk6OXo5+jq6Ovo6ujm6N7o0ujC6K/omuiF6HHoX+hR6EfoQeg96DzoPOg96D7oP+hB6EPoROhF6EToQOg56CzoGugC5+XnxOeg53znWuc75yHnDeb95vHm6Obg5tnm0ebI5r7mtuav5qrmquau5rXmwObL5tfm4Obm5ufm4+bZ5svmu+aq5prmjuaG5oTmiOaS5qDmsebD5tXm5+b25wLnDOcT5xnnHucj5ynnMOc35z/nSOdP51bnXOdh52TnZ+dq523nced454DnieeV56Hnree558PnzefV59vn4Ofl5+nn7efx5/fn/OgD6AroEegY6B/oJegr6DDoNeg56D7oQ+hI6E/oWOhh6G3oeeiH6Jbopei16MXo1Ojj6PLpAOkN6RrpJ+k06UDpTOlY6WPpbel36X/ph+mP6Zfpn+mn6bLpvenL6drp6un86g3qH+ow6kHqUOpe6mzqeuqJ6pjqqeq66s3q4Orz6wfrGuss6z7rUOth63PrhuuY66zrwOvT6+br+ewK7BvsLOw87E3sX+xz7Ifsneyz7Mns4Oz27QvtH+0z7UftW+1w7Ybtnu227c/t6e4C7hruMu5I7l3ucO6C7pTupe627sbu1+7o7vrvDO8e7zHvRO9X72nveu+K75jvpO+v77nvwu/L79Xv4e/u7/3wDPAd8C3wPfBL8FjwY/Bt8HfwgfCL8JfwpfCz8MPw1PDk8PPxAfEO8RjxIfEp8THxOfFC8UzxWPFl8XPxgvGR8Z/xrfG58cXx0PHb8efx9fID8hTyJfI28kfyV/Jk8m/yefKB8onyk/Kg8rDyw/LY8vDzBvMb8yzzOPNB80XzSfNN81bzZfN785rzwPPr9Bf0QvRp9Ij0oPSv9Lj0vvTE9M302/Tw9Q71MvVb9Yb1sPXY9fr2FfYq9jn2Q/ZL9lH2WfZj9nD2gPaS9qf2u/bQ9uP29PcD9w73GPcf9yb3Lvc390T3VPdq94T3o/fG9+z4E/g6+F74f/ic+LT4xvjV+OD46fjx+Pv5CPkY+S35Rvlj+YT5p/nL+e76Dvos+kb6XPpw+n/6jfqZ+qT6rvq3+r76w/rH+sn6yfrK+sv6zvrT+tr65fry+wD7D/se+y37OvtI+1f7Z/t7+5H7qvvE+9/7+fwR/CT8NfxC/E/8XPxs/IL8nPy9/OH9B/0s/U/9bf2G/Zv9rv3B/df98v4T/jn+Yv6N/rX+2f72/w7/If8z/0j/ZP+I/7f/7wAuAHAAsADqARsBQgFgAXkBkAGsAdAB/wI7AoMC0QMjA3EDuAP1BCQERgRdBGsEcwR3BHgEdQRtBF0ERAQeA+0DsgNuAyYC4AKeAmQCNQIQAfQB4AHPAb8BrQGYAYEBZwFMATIBGQEDAO8A3ADKALYAoACGAGkASQApAAn/6//Q/7n/pf+V/4j/fP9x/2j/YP9Z/1T/Uv9T/1f/Xf9l/23/df98/4H/hv+K/47/kv+Z/6D/qf+z/73/xv/N/9L/1v/X/9j/2P/a/9z/4f/n/+7/9v/+AAYADAARABUAGQAcAB8AIwApAC4ANAA5AD8AQwBGAEgASQBKAEsATQBPAFEAVQBZAF4AYwBnAGsAbgBwAHIAcwBzAHMAcgBxAHEAcQBwAHAAcQBxAHEAcQBxAHAAbgBrAGgAZABgAF0AWQBWAFQAUgBRAFAATwBPAE8AUABSAFUAWQBeAGQAagBxAHgAfgCDAIgAiwCNAI8AkACSAJMAlQCXAJkAmgCaAJkAlwCVAJMAkQCRAJEAkwCWAJsAnwCjAKcAqQCpAKgApwClAKQApACmAKwAswC+AMsA2wDsAQABFQEtAUcBYwGCAaQByQHvAhgCQwJuApoCxgLyAx0DSANxA5kDvgPhA/8EGAQtBDsERQRKBEsESgRJBEkESgRMBFAEVARWBFYEUwRLBD8EMQQhBBMECAQBA/8EAQQHBA8EFgQbBBwEGgQWBBIEEQQWBCQEPQRgBIsEvQTvBR4FRgVjBUEFPQUwBRwFBgTvBN0E0QTMBM4E2ATmBPgFCgUdBS4FPgVMBVkFZAVvBXcFfgWCBYIFfQVzBWUFUwU/BSoFFQUBBPAE4QTUBMkEvwS0BKoEngSTBIcEfARxBGgEYgRdBFsEWwReBGUEbwR+BJAEpwTBBN4E/QUcBTsFVwVwBYYFmQWqBboFygXaBesF/AYOBh0GKgYzBjgGOgY7Bj0GQwZQBmcGiQa2Bu4HLAdvB7AH7QgiCEwIbQiDCJIInAijCKoIsQi5CMEIxgjGCMAIsQiaCHwIWAgxCAoH6AfLB7cHrQerB7AHvQfOB+IH+AgOCCQIOQhMCF0Iagh0CHkIeQh0CGkIWwhLCDoILAghCBwIHggnCDYISghhCHkIkAijCLIIvAjACL8IugizCKoIoAiXCJAIigiFCIEIfgh6CHcIcwhuCGsIaghsCHEIewiICJkIrAjACNEI3wjpCO0I7AjnCOEI2wjYCNkI4gjxCQYJIQk+CVsJdgmNCaAJrQm3Cb0JwwnJCdAJ2QnlCfIJ/woLChMKFwoWCg8KAgnwCdsJwwmqCZEJeQljCVAJQQk2CS4JKgkpCSkJLAktCS0JKwklCRsJDgj+CO4I3gjRCMgIxAjFCMoI0wjcCOMI5QjiCNcIxQitCJIIdQhcCEoIQQhFCFUIcwibCMsJAAk2CWkJlQm5CdIJ4AnjCd0Jzgm4CZwJewlVCSsI/AjICI8IUAgLB8MHeActBuMGnwZiBi8GCAXsBdwF2AXdBegF+AYJBhkGKAYyBjkGOwY8BjsGOQY4BjgGOQY8Bj4GQAZBBj8GOgYzBikGHgYTBggGAAX7BfoF/AYCBgoGEwYcBiQGKQYqBigGIgYXBgkF+AXlBdAFugWkBY0FdgVfBUkFMwUfBQsE+ATnBNUExASzBKEEjgR5BGEERgQpBAoD6QPHA6UDgwNiA0IDIwMGAukCzQKyApcCfQJjAkoCMgIaAgIB6QHQAbMBlAFxAUoBIADxAMAAjQBZACb/9P/E/5f/bP9E/x3++f7W/rT+lP51/lj+PP4h/gf97f3T/bb9l/11/VH9Kv0C/Nn8sfyL/Gj8R/wq/A778/vY+7z7nft8+1n7NPsO+un6xvqk+oX6aPpM+i/6Efnw+c35qPmB+Vr5NPkR+PH41fi9+Kf4kvh9+GX4Svgr+Aj34Pe194j3Wvcr9v720fan9n72WPY19hb1+vXi9c/1v/Wx9ab1m/WP9YL1cvVe9Uj1MPUV9Pn03fTC9Kb0jPRz9Fr0Q/Qt9Bn0CPP68+/z5/Pi897z2/PW887zwvOy853zhvNs81LzOvMk8xHzAvL18uvy4PLW8svyvvKv8qDykPKB8nPyZ/Jc8lHyRvI68ivyGfID8erxzPGs8YrxafFK8S7xF/EF8Pnw8fDt8Ovw5/Dh8NXwwvCn8IbwXvAz8Abv2u+x743vbu9T7zrvI+8J7u3uze6p7oLuWu4z7g7t7O3P7bbtoO2M7XftY+1N7TbtIO0M7Pvs7uzl7N7s2ezR7MXssuyZ7HjsUuwq7AXr5OvM67/ru+vA68vr1+vg6+Pr3uvP67brlutx60rrJOr/6t7qvuqh6oXqaepO6jTqHOoI6fjp7uno6eXp5Onh6dvp0OnA6azplumD6XXpb+lz6YDplOms6cLp1Ond6d7p2OnN6cPpv+nG6dzqAOow6mjqn+rP6vDq/Ory6tLqn+pf6hnp0+mU6V/pNukX6QHo8ejk6Nfoy+jA6LjotOi46MXo2uj16RPpMelL6V/pa+lv6W7paull6WTpael06YTpmOmt6b/pzOnR6c3pwumv6Zbpe+lf6UTpLOkW6QTo9ejo6N/o2OjT6NHo0ujT6NXo1ujV6NHoyOi76Kroleh+6GboUeg96C7oI+gd6BnoGegb6B/oJOgp6C/oNOg56D7oQOg+6DjoLegc6ATn5ufE55/neudV5zPnFeb85ufm1+bJ5r7mteas5qXmn+ab5prmnOai5qrmtebA5snmz+bR5s3mw+a05qHmjuZ85m7mZuZm5m7mfeaT5qvmxebd5vHnAOcJ5wznCucG5wDm++b55vvnAOcJ5xTnIect5zjnQudI503nUOdT51XnWedf52fnced854jnlOef56jnr+e157nnvefA58TnyefQ59fn4Ofp5/Pn/OgE6AvoEegW6BroHegg6CToKOgt6DToPOhG6FLoX+ht6HzojOic6KzovOjK6Nno5ujy6P7pCekT6R3pJukw6TnpQ+lM6VXpXulo6XHpe+mG6ZDpnOmp6bbpxOnT6eLp8eoB6hDqIOov6kDqUepj6nfqi+qg6rXqyure6vLrBOsW6yfrOOtJ61vrbuuC65brq+u/69Pr5ev27AXsE+wg7C7sPexO7GDsdeyL7KPsu+zT7OvtAO0V7SftOe1K7Vztbe2A7ZPtqO2+7dXt7e4F7h3uNu5O7mXufO6S7qjuvO7P7uLu8+8D7xLvIO8u7zzvSe9V72Lvb+9874nvlu+k77Lvwe/Q7+Dv8O//8A3wG/An8DLwPPBF8E3wVvBf8GnwdPCA8I7wnPCr8Lnwx/DU8ODw6/D18P/xCfEU8SDxLPE78UrxWvFr8XvxjPGc8azxvPHN8d7x8fIF8hryL/JC8lTyY/Jw8nnygPKH8o7yl/Kl8rfyzfLo8wTzIfM881LzZPNx83rzgfOK85fzrPPK8/L0I/Rb9Jb0z/UD9S/1T/Vk9XD1dPV09XT1ePWD9ZX1sPXR9ff2HfZD9mT2f/aT9qH2qvaw9rT2ufa/9sn21vbm9vj3C/cf9zP3RfdW92T3cfd794T3jPeT95n3oPeo97L3wPfT9+r4Bvgo+E74dvig+Mj47vkQ+S35RflY+Wf5dfmD+ZL5pfm7+dT58PoN+in6QvpX+mb6cPp1+nf6dfpz+nD6bvpt+m36b/px+nT6ePp8+oH6ifqT+qD6sPrC+tb66/sA+xT7KPs8+0/7Yvt1+4j7nPuw+8L70fvf++n78vv6/AP8D/wg/Df8U/x1/Jr8wPzk/QX9If04/Uz9YP11/ZD9sf3b/gv+QP52/qv+2/8E/yb/Q/9d/3n/mf/A/+8AJwBlAKMA3wEUAT4BXQFxAX8BigGYAa4B0QIAAj0CgwLPAxoDYQOeA9AD9gQRBCMELgQ1BDoEPAQ6BDMEJAQLA+YDtwN+Az8C/AK6AnsCQgIRAecBwgGiAYUBaQFNATEBFQD8AOUA0QDBALQAqgCfAJQAhQByAFwAQwAnAAr/7v/V/77/q/+b/47/g/96/3H/av9j/1//XP9c/17/Y/9p/2//dv97/3//gv+D/4X/hv+I/4z/kv+Z/6H/qf+x/7j/vf/A/8L/w//E/8X/yP/M/9H/2P/f/+b/7f/z//n//gACAAUACQANABEAFQAZAB0AIAAjACUAJwAoACgAKQArAC0AMAA0ADkAPgBCAEcASgBMAE4ATgBNAEwASwBKAEoASwBNAE8AUgBVAFcAWABYAFYAUwBPAEoARAA+ADkANgAzADEAMQAxADIAMwA0ADYAOAA8AEAARQBLAFEAWABfAGUAaQBsAG0AbQBrAGoAaABnAGgAaQBsAG8AcgB1AHcAeQB5AHkAeQB5AHkAeQB6AHsAfAB8AHsAegB3AHQAcQBwAHAAcwB6AIUAkwClALoA0gDsAQkBJwFIAWsBkAG3AeECDAI5AmYCkgK+AukDEgM7A2IDiQOuA9MD9QQVBDAERgRVBF4EXwRbBFIERwQ7BDIELQQsBDAENwRABEkETwRSBFAESgRABDQEKAQfBBkEGAQbBCEEKQQyBDkEPgRBBEQESAROBFsEbQSHBKcEygTuBQ4FKQU6BQEE+ATpBNUEvwSqBJoEjwSMBJIEoQS2BNAE7AUJBSUFPgVUBWUFcgV7BYEFhAWEBYEFfAV0BWsFYAVUBUcFOgUuBSEFFgULBQAE9QTqBN8E0gTGBLgEqgSdBI8EgwR4BHAEbARtBHQEgASUBK0EygTqBQsFKwVGBV0FbQV3BX4FggWHBY4FmgWsBcMF3wX9BhoGNAZHBlQGWgZcBlsGXQZkBnMGjQayBuAHFQdLB34HqwfOB+cH9Af5B/kH9gf1B/gIAAgNCB4IMAhACEwIUghSCEwIQgg2CCwIJAgiCCUILAg3CEQIUQhcCGQIawhvCHMIdwh8CIIIiQiPCJQIlgiTCIsIfwhwCGEIVQhPCFEIXAhyCJAItAjcCQQJJwlDCVcJYAlgCVcJSQk5CScJGAkMCQQJAAj/CQAJAQkCCQEI/wj7CPcI9AjyCPMI9Qj6CQAJBAkGCQQI/AjvCNwIxQitCJYIhAh5CHYIfgiPCKgIyAjqCQwJKglECVgJZQltCXIJdgl7CYMJjwmfCbMJyAncCe4J+gn+CfkJ7AnVCbgJlAltCUYJIAj9COEIygi7CLMIsQizCLkIvwjFCMkIyQjFCLwIsQijCJQIhgh7CHIIbQhsCGwIbAhrCGcIXghRCD0IJggNB/QH3QfNB8UHxgfSB+kICQgwCF0IjQi9COsJFQk5CVcJbQl6CYAJfAluCVcJNgkLCNYImQhTCAgHuAdmBxUGxwaABkAGCwXiBcQFsgWrBawFtAXABc4F2wXlBesF7AXpBeMF3AXUBc8FzQXPBdYF4AXtBfsGCAYTBhsGHgYeBhsGFQYNBgYGAAX9BfsF/QYABgQGCQYNBg8GEAYOBgkGAwX6Be4F4QXSBcEFrwWaBYUFbgVWBT4FJgUOBPcE4ATLBLYEogSOBHoEZAROBDYEHQQCA+YDyQOrA4wDbANMAywDCwLrAswCrQKQAnUCXAJFAjECHgIMAfoB5wHSAbsBoAGBAV8BOQESAOgAvgCUAGoAQAAW/+z/wP+S/2L/Mv8A/s7+nf5v/kT+HP34/dj9uf2c/X/9X/09/Rj88PzG/Jv8cfxJ/CP8Avvj+8f7rfuS+3f7Wfs4+xT67vrG+p76d/pS+i/6D/nw+dH5svmR+W/5Svkj+Pz41fiv+Iv4a/hM+DD4Fff59933vfeb93f3T/cn9v/22Pay9o72bfZO9jH2FfX69d/1xfWr9ZH1efVh9Uv1NvUh9Qz09/Th9Mr0sfSX9Hz0YfRG9Cz0E/P78+fz1fPG87vzs/Ov863zrfOu867zrPOo85/zkvOA82rzUvM48x7zBfLv8tzyzfLA8rXyrPKi8pfyi/J88mzyWvJI8jfyJ/Ia8g7yBPH78fLx6fHc8c3xuvGi8YfxavFM8S/xFPD98Ovw3vDU8M3wxvC+8LPwo/CN8HHwUvAv8Azv6u/L76/vl++A72nvUO807xHu6e677ofuUe4a7ePtsO2A7VTtLO0H7OXsxuyo7I7seexo7F3sV+xX7FrsXuxh7F/sWOxK7DbsHuwF6+3r2uvN68jryevP69br3Ovb69Prwuun64brYOs46xHq7erN6rDql+qA6mjqUeo56iHqCun36ejp3unZ6dfp1unU6c/pxOm06aHpjOl66W7paulw6X/plumv6cbp2Ong6d/p1enF6bbprOmt6b3p3OoK6kHqeuqv6tbq6+rq6tLqpepq6ibp4Omg6WnpP+kh6Q7pBekB6QLpBOkH6QvpEukb6SjpOOlJ6Vvpael06XnpeOlz6WzpZull6WvpeumR6bDp0+n36hjqMepB6kTqPOoq6g7p7enI6aHpe+lX6TbpGOj96Obo0ujD6LfosOis6Kzoreiv6LDoruio6J7okOh/6GvoVuhC6DHoIegV6A3oB+gD6ALoAugE6AjoDOgS6BjoH+gj6CXoIugb6Azn9+fb57vnludw50nnJecE5ufmz+a85qzmn+aW5o/miuaI5ojmi+aP5pbmneaj5qfmqOaj5prmjOZ65mbmVOZF5jzmO+ZE5lXmbeaL5qvmyebj5vXnAOcC5vzm8ubk5tbmy+bF5sTmyubW5ubm9+cJ5xjnJecv5zXnOOc75z3nQOdF50znVedf52rnded+54Xni+eP55LnleeY553no+er57XnwOfK59Xn3ufm5+zn8Of05/fn+ef96ALoCOgP6BnoI+gv6DzoSuhZ6Gjod+iG6Jbopei06MHozujZ6OPo7Ojz6PrpAOkH6Q7pFeke6SjpM+k/6UvpWOlk6XHpfemJ6ZTpoOms6bjpxenU6eTp9eoH6hvqMepH6l7qdeqM6qLquOrM6t7q8OsB6xHrIusz60brWett64Hrluup67vrzOvb6+jr8+v/7AvsGOwn7DjsS+xh7Hnskeyp7MDs1ezp7PvtC+0a7SntOO1H7Vjtau1+7ZTtq+3F7d/t++4X7jTuUO5s7obunu6z7sXu1O7g7uru8u747v/vBu8P7xnvJu8170bvWe9u74PvmO+u78Pv1u/p7/rwCvAY8CTwL/A58EHwSvBS8FrwZPBv8HvwifCX8Kfwt/DH8Nfw5vD18QPxEfEg8TDxQfFU8WjxfvGU8avxwvHY8e7yA/IW8iryPfJQ8mLydPKE8pLyn/Ko8rDytvK98sTyzvLd8vDzB/Mi80DzXvN685HzpPOy87vzwvPL89fz6vQH9C/0YfSb9Nn1GfVV9Yn1tPXS9eX17vXw9e717fXw9fj2B/Yc9jf2VfZ09pH2q/bA9tH23fbl9uv28Pb19vv3AvcL9xb3Ivcv9z33Tfdc92z3fPeL95n3pfeu97T3uPe697z3v/fG99P35vgB+CT4Tfh7+Kr42PkC+Sf5Rfld+W75e/mH+ZP5ofmz+cj54Pn6+hT6Kvo9+kn6UPpS+k/6SfpC+j36Ofo4+jr6P/pF+kz6VPpd+mb6cPp7+oj6mPqq+r761frt+wb7H/s4+1H7aPt9+5H7ofuu+7f7vfu/+777vfu8+7/7x/vV++v8CPwr/FL8evyh/MT84/z+/Rb9Lf1H/Wb9jf27/fD+K/5p/qb+4P8V/0P/bP+R/7X/2wAFADMAZgCcANEBAwEsAU0BYwFxAXgBfwGIAZkBtQHdAhECTgKRAtUDFQNNA3wDoQO8A9AD3gPoA/AD9gP4A/YD7QPbA78DmANnAy8C8gKyAnQCOQICAdABowF5AVEBKwEHAOQAxACoAJAAfwBzAGwAaABmAGQAXgBVAEcANQAfAAj/7//Z/8T/s/+l/5r/kf+K/4P/ff93/3L/bv9s/2z/bv9x/3b/fP+B/4T/h/+H/4f/hf+E/4P/hP+G/4r/j/+V/5v/of+m/6n/rP+u/7D/sf+0/7f/u//A/8X/y//Q/9X/2f/d/+D/4//m/+j/6//u//L/9f/4//v//f//AAEAAwAFAAcACQANABEAFQAZAB4AIQAkACYAJwAnACYAJQAjACMAIwAjACUAJwApACsALAArACoAJwAjAB8AGwAXABQAEwASABMAFQAXABkAGwAdACAAIgAlACkALQAyADcAPABAAEMARABDAEEAPQA4ADQAMQAvAC8AMQA0ADoAQABGAEwAUQBUAFYAVwBXAFcAVgBUAFMAUQBPAE0ASwBJAEkASgBOAFYAYQBwAIMAmQCzAM8A7gEOATABVQF7AaQBzwH8AisCWgKIArUC4AMIAy0DTwNwA48DrwPOA+4EDgQsBEcEXQRrBHEEbgRjBFIEPQQoBBYECgQGBAsEGAQsBEQEXQRzBIUEkQSVBJQEjwSHBIAEewR4BHkEfQSDBIkEjwSTBJYEmASbBJ8EpgSwBL4EzwTgBPAE/AUCBLcEsgSqBJ8ElASJBIIEgQSGBJMEqATEBOUFCgUvBVQFdQWSBakFugXFBcsFzQXLBccFwQW7BbQFrAWlBZ0FlQWMBYIFeAVtBWEFVQVIBToFLAUdBQ4E/gTtBN0EzgTABLcEsgSzBLsEygThBP0FHAU9BVsFdQWIBZMFlwWUBY4FhwWEBYcFkwWoBcYF6QYQBjUGVgZvBn8GhgaIBoYGhgaLBpgGsAbSBvsHKQdXB4AHoQe3B8EHwQe6B7AHpwejB6UHsAfDB9oH9QgOCCMIMwg9CEIIRAhFCEgIUAhbCGsIfwiSCKQIsQi5CLoItQitCKIImQiSCJAIkQiWCJsIoQikCKMInwiYCJAIiwiMCJUIqAjGCO4JHQlQCYMJsAnVCe8J/An9CfQJ5AnPCbkJpQmVCYoJgwmACX8Jfwl/CX0Jegl2CXEJbAlpCWcJZglkCWEJWwlQCT4JJAkECN0ItAiLCGYISQg2CDAIOAhLCGkIjQi0CNoI/AkWCSkJNAk5CTsJPQlACUkJWAltCYcJowm/CdcJ5wnuCegJ1gm4CY8JYAktCPkIygigCH8IaAhbCFYIWAhfCGgIcQh4CHwIegh1CGsIXwhRCEQIOAgvCCgIIwggCB0IGQgRCAcH9wfkB84HtwefB4sHfAdyB3EHdweFB5sHtwfYB/wIIghJCHAIlQi5CNkI9gkMCRsJIQkcCQwI7gjDCIsIRwf6B6cHUAb5BqYGWQYWBd4FtAWWBYQFfgWABYgFlQWhBawFswW1BbEFqQWeBZAFgwV5BXMFcwV5BYQFlAWoBbwFzwXfBewF9AX4BfkF9wX0BfIF8AXwBfEF9AX4BfsF/gX/Bf8F/AX3BfEF6QXfBdQFyAW7BawFmwWJBXQFXgVHBS8FFgT+BOYEzwS4BKEEigR0BFwERAQrBBED9wPcA8ADpAOHA2oDSwMsAwwC6wLKAqoCiwJuAlQCPAIoAhcCBwH5AeoB2gHIAbIBmQF9AV4BPAEaAPcA1QCzAJEAbgBKACT/+v/L/5j/Yf8n/uv+sP52/kD+Dv3h/bn9lf10/VT9NP0T/PD8y/yk/H38Vvww/Az76vvL+677kvt2+1n7OvsY+vT6zfqm+n76Vvow+gv56PnG+aX5hPlh+T35GPjy+Mv4pPh9+Ff4MvgP9+z3yfel94D3Wvcy9wr24va89pj2ePZc9kP2LfYa9gj19vXi9c31tfWb9YD1ZPVI9Sz1EfT39N70xvSt9JP0d/Rb9D30HvP+8+HzxfOs85jziPN983jzdvN4833zgvOG84jzhvOA83bzZvNS8zvzIfMH8u7y2PLE8rTyp/Kc8pTyi/KC8nfyafJZ8kXyMPIb8gbx8/Hj8dfxz/HK8cbxw/G+8bbxqvGY8YHxZvFH8SjxCvDu8Nbww/C18KrwoPCX8IzwffBr8FTwOfAd7//v4+/I77Dvmu+F727vVe827xHu5e6x7nfuOe337bXtde037P7syOyY7G3sR+wn7A3r++vv6+rr7Ovz6/3sB+wQ7BXsFewQ7Abr+evr697r1evR69Lr1uvc6+Dr4Ova68zrteuX63TrTesn6wLq4erE6qrqkup66mPqSuow6hfqAOnr6dzp0unN6czpy+nK6cbpvOmu6Z3piul66W/pbelz6YLpl+mv6cXp1unf6d7p1enI6brpsum06cTp5OoT6kvqiOrB6u/rDesU6wbq4uqt6m3qKOnk6afpdelQ6TfpKukm6SrpM+lB6VHpY+l46Y3poem06cTpzunT6dLpzOnE6bvpt+m56cXp2+n66iHqTep46p7qu+rM6s7qw+qq6ofqW+or6fnpyOmY6WzpQ+kf6P7o4+jL6Ljoquih6Jzomuib6Jzoneib6Jfoj+iD6HXoZuhV6EToNegn6BvoEegI6AHn++f35/Tn9Of25/nn/+gF6AroDegM6Abn+ufn587nsOeO52rnRecj5wTm6ObQ5rzmrOaf5pTmiuaD5nzmeOZ05nLmcOZu5mvmZuZe5lTmR+Y45irmHuYW5hTmGuYn5jzmV+Z15pTmsObH5tbm3ebb5tLmxea15qfmnOaX5pnmouax5sPm2Obs5v7nDOcX5x3nIeci5yPnJucq5y/nOOdB50vnVede52Xnaudu53Hnded5537nheeO55fnoues57XnvefD58jnzOfQ59Pn2Ofe5+Xn7+f56AXoEege6CvoN+hD6FDoXOhp6HfoheiT6KHorui66MXozujW6N3o4+jo6O7o9ej+6QjpE+kf6SzpOelG6VLpXulp6XPpfemJ6ZXpo+my6cTp2Onu6gXqHeo16k3qZOp66o/qouq16sbq1+rn6vjrCesc6y/rQutW62rrfeuP65/rruu868jr0+vf6+rr9+wF7BbsJ+w77E/sZOx47I3soOyy7MTs1ezl7PbtCO0a7S7tQ+1a7XLti+2m7cLt3+397hvuOO5U7m7uhe6Y7qjutO687sHuxO7F7sfuyu7Q7tju4+7z7wXvGu8y70vvZe+A75vvte/P7+fv/vAT8CXwNfBC8E3wV/Bf8Gfwb/B68IbwlfCn8Lvw0fDp8QHxGfEw8UfxXPFy8YnxoPG58dTx8fIO8izySfJk8nzykvKk8rPywPLK8tTy3PLk8uzy9PL88wTzDfMV8yDzLPM7803zYvN685Lzq/PB89Xz4/Pt8/Pz9vP58/70CPQa9DX0WvSI9Lz09PUs9WH1kPW29dL15fXx9ff1+vX+9gT2DvYc9i/2RfZe9nj2kfao9r32z/bd9ur28/b89wP3CfcP9xb3Hvcn9zL3QPdQ92L3dveK9533rve698L3xffE98D3vPe597v3xPfW9/H4FPg++Gv4mvjH+PD5Evkt+UL5Ufld+Wj5dPmC+ZP5qPm++dT56Pn5+gb6DvoS+hL6EPoP+g76EPoV+h36J/oy+j76SvpU+l76Z/pw+nr6hfqT+qT6ufrQ+ur7Bfsi+z77Wfty+4f7mPuj+6n7qvum+577lvuQ+437kPub+6/7y/vv/Bf8Qvxt/Jb8vPze/P79HP07/V79hv2z/ef+IP5b/pf+0f8I/zv/av+V/7//6QAUAEEAcACfAMsA8wEVAS8BQQFNAVUBXAFnAXkBkwG3AeQCGQJRAooCwQLxAxoDOwNVA2kDeQOFA44DlAOVA5EDhgNxA1IDKgL5AsIChwJMAhIB3AGrAX4BVAEuAQkA5ADBAJ4AfQBfAEcANQApACIAIQAiACUAJQAjABwAEgAD//P/4f/Q/8L/tv+u/6j/o/+g/5z/l/+R/4v/hP9+/3r/d/93/3r/fv+D/4j/jP+O/47/jf+K/4b/g/+A/37/fv+A/4L/hv+J/43/j/+R/5P/lP+W/5f/mf+c/5//o/+m/6r/rf+v/7H/sv+0/7X/t/+5/7v/vv/C/8X/yf/M/87/0f/T/9X/1//Z/9z/4P/k/+j/7f/x//T/9//4//n/+f/5//j/+P/4//n/+f/6//v/+//7//v/+v/4//f/9f/1//T/9f/3//n/+//9//8AAQADAAQABQAGAAgACQAMAA4ADwAQAA8ADgAKAAYAAf/9//n/9v/2//j//AACAAkAEQAZACEAJwAsAC8AMQAyADIAMQAwAC4ALQArACoAKwAtADEAOABEAFIAZgB9AJcAtADUAPYBGQE9AWIBigGzAd8CDAI8AmwCmgLHAvEDFQM1A1ADZwN8A5ADpQO9A9gD9gQVBDIETARfBGkEaAReBEoEMQQWA/4D7APlA+kD+wQXBDwEZQSPBLUE1QTrBPkE/gT8BPYE7wToBOIE3wTeBN8E3wTeBNsE1gTQBMgEwAS6BLYEtAS0BLYEuAS5BJoEnQSfBKIEpASmBKsEsgS/BNAE6AUFBSgFTgV2BZ4FxQXoBgYGHwYyBj8GRwZLBksGSQZEBj0GNAYqBh4GEQYDBfQF5QXWBcgFugWuBaMFmAWNBYMFeAVsBV8FUwVHBT4FOQU6BUAFTgVhBXkFkwWtBcQF1QXfBeIF3gXWBcsFwwXABcUF1AXsBgwGMAZVBncGkgalBq4GrgapBqMGnwahBq4GxAblBw0HOAdiB4YHogezB7sHuwe3B7IHsge5B8gH3wf8CBwIOwhUCGQIawhoCF4ITwhBCDYIMwg4CEUIWQhwCIgInQirCLIIsQiqCJ8IkgiICIEIgAiDCIoIkwidCKUIqgiuCLAItAi8CMoI4QkBCSkJWAmKCbwJ6QoPCisKOwpACjoKLgodCgsJ+gnsCeIJ3AnaCdgJ1wnWCdIJzQnHCcAJuQmzCa4JqgmkCZwJjwl7CWAJPQkTCOMIsQiBCFYINQghCBsIJAg7CFsIggisCNMI9AkOCR4JJgknCSUJIwkkCSsJOAlNCWgJhQmhCbkJyQnNCcUJrwmOCWIJMAj8CMkImwh1CFkIRgg9CDwIQAhHCE4IVAhWCFQITghECDcIKggdCBEICAgBB/0H+gf4B/QH8AfoB94H0AfAB7AHnweQB4QHewd3B3gHfQeGB5MHoge0B8gH3wf2CBAIKwhHCGMIfQiVCKcIsgi0CKwIlwh3CEoIEgfRB4oHPgbyBqcGYQYiBesFvwWcBYQFdAVsBWkFagVrBWwFagVlBVwFUQVEBTcFLQUnBSYFKwU3BUgFXgV1BY0FowW1BcQFzQXSBdQF1AXTBdIF0gXUBdgF3QXiBeYF6QXqBekF5AXeBdUFywXABbMFpgWXBYgFdwVlBVEFPAUmBQ8E+AThBMsEtQSfBIoEcwRdBEUELAQSA/cD2wO+A6EDgwNlA0cDJwMIAucCxwKnAogCawJRAjkCJQIUAgYB+QHtAeAB0gHAAasBkwF3AVgBOAEWAPUA1QC1AJYAdwBWADMADf/i/7P/gP9J/xD+1v6d/mb+Mv4D/df9r/2L/Wj9R/0l/QP84Py8/Jf8cfxM/Cf8BPvh+8D7n/t++1z7OvsW+vH6y/qk+n36Vfou+gj54vm8+Zf5cflM+Sb5APja+LT4jvho+EP4Hff19833o/d290j3Gfbp9rv2j/Zn9kT2J/YQ9f718fXl9dv10PXD9bP1n/WI9W/1VPU49R31AvTp9ND0uPSg9Ib0a/RP9DD0EPPw89HztPOb84fzePNv82rzavNt83LzdvN583jzc/Np81rzR/Mx8xny//Ln8tDyvPKr8p3ykfKG8nvybvJg8k7yOPIh8gfx7fHU8b/xrvGj8Z7xnvGi8ajxrvGw8a7xpPGS8XnxWvE38RLw7/DO8LPwnvCP8ITwffB28G3wYfBR8DvwIvAG7+jvy++v75Xvfu9n71DvNu8X7vLuxe6R7lTuE+3N7YXtP+z87L3shuxV7C3sDev26+fr4evh6+jr8+wB7BDsHOwl7CnsJ+wg7BXsB+v66+3r5Ovf693r3uvg6+Dr3evU68Xrr+uT63PrUOsu6wzq7OrP6rPqmOp96mLqRuoq6hDp+unn6drp0+nR6dLp1OnU6dHpyem86avpmemJ6X3peOl76YfpmOms6cDp0Ona6dzp1+nP6cbpwunI6drp+uon6l/qnOrX6wrrL+tC60HrLOsF6tDqk+pU6hjp4um26ZXpgOl36XfpgemS6anpxOng6f3qF+ot6j3qRepG6j/qM+om6hrqE+oV6iLqO+pf6orquern6w7rKus36zXrIusA6tLqnOpj6ijp8Om96ZDpaelI6S3pFukC6PLo5OjZ6M/ox+jA6Lnosein6J3okOiC6HPoY+hT6EXoN+gr6CDoF+gO6Abn/uf35/Ln7efr5+vn7efx5/bn+uf85/vn9efp59nnw+ep54znb+dR5zXnG+cD5u3m2ubH5rXmo+aS5oDmcOZg5lLmRuY85jPmLOYm5iDmG+YW5hLmD+YQ5hTmHOYq5jvmUOZn5n3mkuai5q3mseav5qnmoOaV5o3mh+aH5ozml+am5rjmy+bd5u3m+ecB5wbnCecK5wrnDOcQ5xbnHecn5zHnO+dF503nU+dZ513nYudn52znc+d754PnjOeV55zno+ep567nsue357znw+fL59Tn3+fq5/boAugN6BfoIegq6DPoPOhG6FLoXuhs6HroieiX6KTosOi66MPoy+jS6Nno4ejp6PLo/OkH6RPpHukq6TXpQOlK6VXpYelu6X3pjemg6bTpy+ni6frqEeoo6j7qUupl6nfqh+qY6qjquOrJ6trq7Or/6xPrJus6603rX+tx64Hrkeuf663ru+vI69br5Ovy7AHsEOwf7C7sPuxO7F7sb+yA7JPspuy77NHs6O0B7RrtNO1P7Wrthe2h7bzt2O3z7g7uJ+5A7lbuae567ofuke6Y7p7uou6l7qnuru617r7uye7X7ufu+e8N7yLvOe9S72zviO+l78Lv3+/68BPwKfA88EzwWPBi8GzwdvCD8JPwqPDB8N/xAPEj8UbxafGK8anxxfHg8fryFfIw8kzya/KL8qryyfLk8vzzD/Md8ybzKvMs8yzzLPMu8zHzOPNA80rzVvNj83Hzf/ON85zzrPO8883z3vPt8/z0B/QP9BT0FvQW9Bf0GfQg9Cz0P/RZ9Hr0ofTL9PX1H/VF9Wb1gvWZ9av1uvXH9dT14vXy9gb2HPY09k32aPaC9pv2s/bI9tv27Pb59wX3DvcW9x73Jvcv9zv3SPdZ9233gveX96v3vPfI9873zffG97v3rPef95T3kfeW96X3v/fi+Az4O/hr+Jr4xPjo+Qb5Hvkw+T75SvlV+WD5bfl6+Yj5lvmj+a75uPnA+cf5zfnU+dz55vny+f/6Dfoc+ir6N/pC+kz6Vfpd+mX6b/p6+oj6mPqr+sH62fry+wz7Jfs8+1H7Yvtu+3b7ePt3+3P7bvtq+2j7bPt3+4r7pPvG++z8F/xD/G/8mfzB/Ob9Cv0u/VP9ev2k/dL+Av41/mj+m/7N/v3/K/9Z/4b/s//iABEAPwBtAJcAvQDcAPUBBwEUAR4BKAE0AUUBXAF7AaEBywH5AigCVQJ/AqQCxALgAvYDCQMYAyIDJgMjAxgDAgLiArcChAJJAgoBywGOAVYBJgD9ANsAvwCmAI8AeABgAEgALwAYAAP/8v/m/9//3f/f/+L/5f/m/+X/4P/Z/8//xv+8/7X/sP+u/67/r/+v/6//rf+o/6H/mf+Q/4j/g/+A/4D/g/+H/47/lP+Z/5v/nP+a/5X/kP+K/4P/fv96/3f/dv92/3b/dv93/3f/eP94/3n/ef97/33/f/+B/4L/hP+E/4T/hP+D/4H/gf+A/4H/gv+E/4f/iv+O/5H/k/+W/5j/mv+b/57/oP+k/6j/rP+x/7X/uf+9/8D/wv/E/8X/xv/H/8j/yv/L/83/zv/P/9D/0f/R/9D/0P/Q/8//0P/Q/9H/0f/S/9P/1P/V/9X/1v/X/9j/2P/Z/9n/2f/Y/9b/0//Q/8z/yf/H/8X/xv/I/8z/0f/X/9//5v/t//P/+P/9AAEABAAHAAoADQAQABMAFgAZABwAIQAoADEAPQBOAGIAewCXALcA2gD+ASMBSQFwAZcBwAHqAhUCQQJuApoCxALpAwoDJAM4A0YDTwNXA14DaAN3A40DpwPHA+gECAQkBDcEQAQ+BDIEHgQHA/AD3gPWA9sD7gQOBDkEawSgBNMFAAUjBTwFSgVOBUoFQQU3BSwFIgUaBRUFDwUKBQIE+ATsBN0EzgS+BLAEpAScBJgElgSXBN8E5wTwBPkFAwUNBRcFIwUxBUIFVwVxBY4FsAXVBfsGIgZJBm0GjgaqBsIG1QbiBuoG6wboBt4G0Aa9BqcGjgZ0BloGQgYuBh0GEgYLBgkGCgYNBhEGFQYWBhUGEgYNBggGBAYDBgUGDAYWBiQGNAZCBk8GVwZbBlkGUwZLBkQGQQZCBkwGXAZ0Bo8GqwbFBtkG5QbnBuEG1AbEBrUGrAasBrYGywbqBw4HNgdbB3wHlgepB7YHwAfLB9wH9QgXCEMIdQipCNkJAAkZCR8JEwj1CMoIlghiCDMIDwf5B/IH+ggOCCkIRghgCHUIggiHCIUIfgh2CHAIbAhuCHUIfwiNCJwIqgi5CMYI1AjjCPUJDAkoCUkJbQmTCbkJ2wn4Cg0KGgoeChwKFgoNCgQJ/Qn4CfgJ+gn+CgMKBgoICgYKAgn7CfIJ6AneCdUJygm/CbAJngmFCWUJPwkSCOEIsAiACFgIOQgoCCQILwhHCGkIkQi7COMJBQkfCTAJOQk7CTkJNQkzCTYJPQlKCVoJbAl9CYkJjwmKCXwJZAlDCRwI8QjHCJ8IfQhiCE8IQwg+CDwIPQg+CD0IOwg0CCsIIAgTCAcH+wfyB+sH5gfjB+IH4QfhB98H3QfZB9QHzwfJB8UHwQe/B74HvwfAB8IHxAfFB8YHxgfHB8kHzQfSB9sH5gf0CAQIFAgkCDIIPQhCCEIIOggrCBMH9AfOB6EHbgc2BvsGvQaABkMGCgXWBagFgQVhBUgFNQUnBR0FFQUOBQgFAQT7BPYE9AT2BP0FCQUaBTAFSQVlBX8FmAWtBb0FxwXNBc4FzQXKBcgFxgXGBcgFywXOBdEF0gXSBc4FyAW+BbMFpQWXBYcFdwVnBVUFQwUwBR0FCATyBNwExgSwBJoEhQRvBFsERgQwBBoEAwPqA9ADtQOYA3oDWwM7AxsC+wLaAroCmgJ9AmECSAIzAiACEQIFAfsB8gHoAd4B0QHBAawBlAF4AVkBOAEVAPIAzwCtAIsAaQBIACUAAf/b/7L/hv9Y/yj+9/7G/pX+Zv45/g395f2+/Zn9df1R/S39CPzj/Lz8lPxr/EH8GPvu+8T7m/tz+0v7I/r8+tb6r/qI+mH6OfoR+ef5vfmS+Wf5PfkT+Or4wvic+Hf4U/gv+Av35fe895D3YPct9vf2wPaJ9lX2JPX59db1ufWl9Zb1jPWG9YD1efVw9WP1UvU+9Sb1DfTz9Nn0wPSp9JP0f/Rq9Fb0QfQq9BLz+PPe88XzrfOZ84jze/Ny827zbfNt827zbvNs82bzXfNP8z3zJ/MQ8vfy3/LI8rTyofKQ8oHycfJh8k3yNvIc8f3x2/G48ZXxdvFc8UrxQfFC8UvxW/Fw8YbxmfGl8anxofGO8XHxTPEi8PbwzfCo8Ivwd/Bq8GPwX/Bc8FfwTvA+8CjwDO/t78vvqe+J723vU+887yXvDO7v7svuoO5r7i/t6+2j7VntEezN7JHsXuw27BrsCuwE7AjsFewn7DzsUuxm7HfsgeyF7IHsduxl7E/sN+wg7Arr+Ovq6+Hr2uvW69HryuvA67HrneuE62jrSesp6wjq6OrH6qjqiOpq6kvqLuoT6fzp6unc6dXp0+nV6dnp3Onc6djpz+m/6azpmOmE6XTpa+lq6XDpfOmM6Z3prOm36bzpu+m46bTps+m56cnp5eoN6j7qdequ6uLrDesr6znrNusi6wHq1uqk6nHqQOoW6fTp3OnP6c/p2ens6gfqJ+pJ6mrqh+qc6qfqpuqb6ofqbOpQ6jXqI+ob6iHqNupX6oPqs+rj6wzrKus46zTrH+r66snqkOpU6hrp5em56Zbpfels6WHpW+lX6VTpT+lH6TvpLOka6QTo6+jQ6LTomOh86GHoSeg06CPoFOgJ6AHn+uf15/Dn7Ofo5+Tn4ufg5+Dn4efk5+jn7Ofv5/Dn7efn59vnzOe556Tnjed1517nSOcz5x7nCeb05t3mxeas5pLmeOZg5krmOOYq5iHmHOYb5h3mIeYm5izmMuY45j7mReZN5lXmX+Zq5nXmf+aI5o7mkuaS5pHmjuaL5onmieaL5pHmm+am5rPmwebO5tnm4ebn5uvm7ubv5vHm9eb55wDnCOcS5xznJ+cw5znnQOdG50vnUOdV51rnYedo52/nd+d/54bnjeeT55nnnuej56nnsOe558LnzOfX5+Hn7Of26ADoCegR6BnoIugs6DboQuhP6Fzoauh46ITokOib6KTorei16LzoxOjM6NXo3+jq6PXpAekN6RnpJukz6ULpUeli6XTpiOmc6bLpyOne6fPqB+oa6izqPepM6lvqaup56ojqmOqp6rrqzOre6vDrA+sV6yjrOutM617rceuD65Trpuu268br1evj6/Dr/ewJ7BXsIewv7D7sT+xi7Hfsjuyn7MHs3Oz27RHtLO1G7WDtee2R7artwu3Z7fDuBu4b7i3uP+5O7lzuaO5z7n/uiu6W7qPuse7A7s/u3e7r7vjvBe8R7x3vKu8570zvYe9675bvtO/S7/DwDfAm8DvwTvBf8G/wf/CT8KvwyPDq8RHxO/Fo8ZPxvfHi8gPyH/I38k3yYfJ28ozypPK+8tny9PMN8yPzNPM/80bzSPNH80TzQ/ND80bzTfNX82TzcvOA847zmvOl86/zuPPB88vz1vPj8/Dz/fQL9Bb0IfQp9C/0NfQ69ED0SfRW9Gf0fPSV9LH0zvTt9Qz1KfVF9WD1efWR9an1wvXb9fb2EvYv9kz2aPaF9qD2ufbQ9uT29vcG9xT3H/cq9zT3PfdI91T3Yfdx94P3lfen97f3xPfL98v3xPe296L3i/dy91v3Sfc/90D3Tfdm94r3tvfp+B/4VPiG+LP42fj3+Q75H/kr+TP5OvlA+Ub5TflW+WH5bfl7+Yn5mfmp+bn5yvnZ+ej59/oE+hD6G/om+jD6O/pG+lH6Xfpq+nj6hvqU+qP6sfrA+s/63vru+v37C/sZ+yX7MPs5+0H7SPtQ+1j7Y/tx+4P7mvu2+9X7+Pwd/ET8a/yS/Lj83v0E/Sr9Uf15/aH9y/32/iD+S/53/qP+z/7+/y7/YP+T/8j/+wAtAFoAgQCiALwAzgDcAOUA7gD3AQQBFgEuAUsBbQGSAbkB4QIIAi0CTwJvAosCpAK3AsQCyQLDArICkwJoAjAB7wGnAVwBEwDPAJMAYQA7AB8ADP////X/7P/j/9j/y/++/7D/pf+c/5f/lv+Y/5z/of+m/6n/qv+p/6f/pP+h/5//nv+g/6T/qP+s/7D/sf+w/63/p/+h/5v/lv+T/5P/lf+Z/5//pv+r/6//sP+v/6v/pv+e/5b/jf+F/37/eP9z/2//bP9q/2f/Zf9k/2L/Yv9h/2H/Yf9i/2H/YP9e/1v/WP9T/0//Sv9H/0T/Q/9C/0P/Rf9I/0v/T/9R/1T/V/9Z/1z/Xv9h/2T/Z/9q/27/cv91/3j/e/9+/4H/g/+G/4r/jf+R/5T/mP+a/5z/nf+d/5z/m/+Z/5f/lP+S/5H/kP+Q/5H/kv+U/5f/mv+d/6H/o/+m/6f/qP+n/6b/pP+i/6D/n/+f/5//of+k/6j/rP+x/7X/uf+8/7//wv/G/8v/0f/Y/+H/6v/0//8ACQATAB0AKAAzAEEAUQBmAH4AnAC9AOIBCQEzAV0BhwGwAdkCAQIoAk8CdAKYAroC2QLzAwcDFQMdAx8DHQMaAxgDGgMiAzEDSANmA4kDrAPOA+oD/wQKBAsEBQP6A+8D5wPmA/EEBwQqBFgEjQTFBPwFLgVWBXMFhAWKBYcFfAVuBV8FUQVFBTsFNAUuBSgFIQUZBQ4FAgT2BOoE4ATZBNUE1QTYBV4FZQVuBXcFgQWLBZcFowWxBcEF0wXpBgIGHwY/BmIGhwatBtMG+QcbBzsHVQdqB3cHfAd5B20HWgc/Bx4G+wbWBrMGlAZ8BmsGZAZkBm0GewaNBqEGtAbEBs8G1wbaBtoG2QbXBtYG1wbaBt8G5QbqBu8G8QbwBu0G6AbkBuEG4gbpBvQHBAcXByoHOwdGB0oHRgc6BycHEAb6BugG3gbdBucG+gcUBzMHUgduB4YHmQepB7gHygflCAsIPwiACM0JHwlxCbkJ8QoRChYJ/gnMCYUJMAjXCIMIOwgFB+QH2QfiB/gIGAg6CFkIcgiCCIoIiwiHCIEIfQh9CIEIjAicCK8IxQjbCPIJBwkdCTEJRglcCXIJiAmeCbMJxAnSCdsJ3wnfCdwJ2AnVCdMJ1QnbCeQJ8An+CgsKFgoeCiIKIQobChIKBgn4CekJ2QnGCbIJmQl8CVoJNAkJCNsIrgiDCF8IRQg1CDMIPQhUCHQImgjDCOwJEQkvCUYJVglfCWIJYglhCWAJXwleCV4JXQlZCVIJRQkyCRoI/AjcCLsImgh8CGIITQg9CDIIKggkCB4IGQgRCAgH/AfwB+QH2AfPB8cHwgfAB78HvwfAB8AHwAfAB78Hvge+B8AHxAfLB9UH4AfsB/gIAggKCA0IDAgICAAH9QfqB94H1AfNB8gHxwfIB8wH0QfYB94H5AfqB+4H8QfyB/AH6QfdB8oHrweKB1sHIwbjBpwGUwYLBcUFhwVSBScFCATyBOcE4QThBOQE6ATtBPIE+AT/BQoFGAUrBUIFXQV5BZYFsQXJBdsF6AXvBfEF7gXpBeMF3QXYBdUF0gXQBc4FywXGBb4FswWmBZYFhAVyBV8FTAU6BSgFFgUDBPAE2wTFBK4ElgR+BGUETAQ0BB0EBwPxA9wDxgOwA5kDgANlA0gDKQMIAucCxQKkAoUCZwJMAjUCIQIRAgUB+wH0Ae4B6AHhAdgBzAG9AakBkgF3AVgBNwEUAPAAywCmAIIAXgA6ABb/8f/M/6b/f/9X/y3/Av7W/qr+fv5S/if9/f3U/az9hv1g/Tr9E/zs/MP8mPxr/Dz8DPvb+6r7eftJ+xv67/rE+pz6dPpN+iX5/PnR+aX5d/lH+Rf46Pi5+Iz4Yvg6+BX38PfM96b3fvdT9yP27va29nv2P/YE9c31m/Vx9U/1NfUk9Rr1FPUS9RD1DfUH9Pz07PTZ9MH0p/SM9HL0WPRB9Cz0GvQJ8/rz7PPd883zvfOt853zjfN/83PzafNi813zWvNY81fzVPNP80fzO/Ms8xnzBPLt8tXyvvKo8pPygPJt8lryRfIt8hHx7/HJ8Z7xcfFD8Rnw9fDa8MvwyvDV8OzxDfEy8VfxePGR8Z3xmvGK8WzxRPEW8ObwuPCR8HPwXfBR8EzwSvBJ8EXwO/Aq8BLv9O/Q76vvhu9j70XvKu8T7v7u5u7L7qnuf+5L7g3tyO1+7TPs6uyn7G/sQ+wl7BXsFOwf7DTsUexx7JHsruzG7Nbs3eza7M7sueye7H/sXuw97B7sBOvu69zrzuvD67nrruuh65Hrfutm60zrLusN6uzqyeqm6oPqYupB6iPqCOnx6d7p0unK6cjpyunO6dHp0+nR6cjpu+mo6ZHpeeli6VDpQ+k96T/pR+lU6WLpcOl76YHphOmE6YLpg+mI6ZXprOnL6fTqI+pW6ofqtOrX6vDq++r56unqz+qt6ofqYOo76h3qCOn96f/qDOok6kXqauqS6rbq0+rl6ujq3erC6pzqbeo66gvp5OnK6cHpyunj6grqOepp6pbquOrM6s7qv+qg6nXqQ+oP6d7ptOmU6YDpd+l46YDpjema6aXpqumo6Z7pjOlx6VDpKej/6NPopuh86FXoM+gW5/7n7Off59fn0ufP587nzufP59Dn0ufU59jn3Ofh5+bn6+fu5+/n7efn59znz+e+56vnl+eC527nWudH5zPnIOcL5vTm3ObB5qbmiuZw5ljmReY45jDmLuYx5jnmQ+ZN5ljmYeZo5m3mb+Zw5nDmcOZw5nHmc+Z25nnmfeaA5oLmhOaG5ofmieaL5o/mlOab5qLmquay5rnmwObG5svm0ObU5tnm3+bl5u3m9eb+5wfnEOcY5x/nJecq5y7nM+c35zznQudI51DnWOdg52jncOd3537nhOeK55Dnlued56Xnrue358LnzefY5+Pn7+f66AXoEOgc6CfoMug86EfoUeha6GPoa+hz6HrogOiI6I/ol+ih6Kvot+jE6NLo4ujy6QTpFukp6TzpUell6Xrpj+mj6bbpyena6evp+uoI6hbqJOox6j/qTupd6mzqfOqM6pzqrOq86szq3Ort6v7rEesk6znrTutk63nrjeug67HrwevO69rr5uvx6/3sC+wc7C7sROxb7HTsjuyp7MPs2+zy7QjtHO0w7UPtVu1q7X7tlO2q7cDt1u3r7f/uEu4j7jTuRO5W7mjufe6U7qzuxe7f7vfvDO8e7yzvNe8870DvRO9K71LvX+9x74nvpe/F7+bwCPAo8EbwYvB88JTwrvDJ8OjxC/Ey8V3xivG38eLyCfIr8kXyWvJo8nPyfPKE8o7ynPKs8r/y1PLq8v7zD/Md8yfzLfMw8zLzNPM38zzzQ/NN81jzZPNv83jzgPOF84nzjPOQ85bzn/Or87rzzfPj8/n0D/Qk9Df0R/RV9GH0bfR49IP0kfSg9LH0xfTb9PP1DfUo9UT1YvWB9aH1w/Xl9gf2KfZK9mn2hvag9rf2zPbe9u72/fcK9xb3Ivcu9zn3RfdR9133avd494X3k/eh96z3tPe497b3rvef94r3b/dR9zL3Fvb/9vH27/b59xD3NPdj95r31fgS+Ez4gfiu+NP47vkB+Q35FPkZ+R35I/ks+Tn5Svlf+XX5jfmk+br5zfnc+ej58fn4+f/6BfoN+hj6JPoz+kT6Vvpo+nj6hvqQ+pj6nvqh+qT6qPqt+rX6wfrQ+uL69vsM+yP7OftO+2L7dPuG+5j7qvu9+9L76fwD/B/8Pvxf/IL8p/zN/PP9G/1B/Wj9j/21/dv+Af4o/lL+fv6t/uD/Ff9N/4X/vf/xACEASQBqAIQAlQChAKkArwC3AMEAzwDiAPsBGAE5AV0BggGnAcwB7wIQAi8CSgJhAnACdgJyAmACQQITAdkBkwFGAPUApQBaABf/4P+0/5X/gP90/23/af9m/2L/XP9U/0z/Rf8//zz/Pf9B/0f/UP9a/2P/av9x/3X/d/95/3v/fv+B/4b/jP+T/5r/oP+l/6j/qv+r/6v/q/+r/6z/rv+y/7b/uv+9/8D/wf/A/7z/t/+w/6j/oP+X/47/hf9+/3f/cP9q/2T/X/9a/1b/Uv9P/0v/SP9F/0H/PP83/zD/Kf8i/xr/E/8N/wf/A/8B/wD/AP8C/wX/CP8M/w//Ev8V/xj/Gv8c/x7/IP8h/yL/JP8l/yf/KP8r/y3/Mf81/zv/QP9G/0v/UP9V/1j/Wv9a/1n/V/9U/1H/Tv9M/0r/Sv9L/03/Uf9X/13/ZP9r/3L/eP99/4H/hP+F/4b/hf+E/4T/g/+E/4X/hv+I/4v/jf+O/4//kP+R/5L/lf+Z/6D/qf+1/8P/0//k//UABgAVACQAMwBCAFIAZgB9AJoAvADjAQ4BPQFtAZ4BzgH7AiUCTAJuAo0CqALAAtUC5QLyAvsDAAMAAv4C+QLzAu8C7wL0Av8DEQMpA0cDZgOGA6QDvQPQA90D5QPqA+8D+AQGBB0EPQRnBJkE0QUKBUEFcgWbBbgFyQXOBckFvQWsBZkFhwV4BWwFZQVgBV8FXwVfBV4FXQVbBVkFVgVUBVQFVQVZBagFrAWyBbkFwQXMBdkF5wX3BgoGHgY1Bk4GagaIBqcGyQbtBxEHNQdZB3kHlgeuB74HxgfFB7oHpgeLB2kHQwcdBvkG2gbCBrQGrwa0BsAG1AbrBwQHGwcwB0EHTQdUB1gHWgdaB1sHXAdeB2IHZQdoB2oHaQdnB2QHYQdfB18HYwdqB3YHhAeSB58HqAesB6gHnQeMB3gHYgdPB0IHPAc/B0oHWwdwB4UHmAemB68Hswe2B70HywfmCBIIUQihCP4JYwnICiIKaQqVCqIKjwpcChAJswlOCOsIkwhNCB0IBQgCCBEIKwhLCGsIhgiZCKQIpwikCJ8ImgiZCJ4IqQi5CM8I6AkDCR0JNglNCWAJcQl/CYsJlQmdCaMJpwmoCacJpAmfCZoJlgmUCZUJmwmlCbMJxQnXCeoJ+woIChAKFAoRCgoJ/gnvCd0JyQmzCZoJgAljCUIJHwj5CNIIqwiHCGgIUAhBCD0IQwhTCGsIigiuCNII9gkXCTMJSQlaCWUJbAluCWwJZgldCVEJQQktCRUI+gjbCLsImwh8CF8IRQgwCB8IEQgHB/4H9QfsB+EH1QfHB7kHrAefB5YHjweMB4wHjweSB5YHmAeZB5cHlAeRB44HjQeQB5gHpQe3B80H5Af8CBIIIwgvCDMIMQgoCBsICwf6B+kH2gfPB8YHwAe9B7sHuge6B7wHvgfBB8cHzgfXB98H5gfoB+IH0we2B4wHVAcPBsAGawYVBcMFeAU6BQoE6QTXBNEE1gThBPAFAAUOBRsFJgUwBTwFSQVZBW0FhQWgBbsF1gXtBf8GDAYSBhIGDgYGBfwF8QXoBeAF2QXTBc0FxgW9BbAFoQWPBXsFZQVPBToFJgUTBQEE8QTgBM8EvQSoBJEEeARdBEAEJAQHA+0D1AO9A6cDkgN+A2gDUQM4AxwC/QLdArsCmAJ3AlgCPQIlAhICAwH4AfEB7AHnAeMB3QHWAcsBvAGqAZQBewFfAUEBIQEAAN4AvACZAHcAVQAyABD/7f/J/6T/f/9X/y7/Av7W/qj+ef5L/hz98P3E/Zv9c/1N/Sj9A/zd/LX8i/xe/C/7/PvI+5P7X/sr+vn6yvqd+nP6S/oj+fv50fmm+Xn5SvkZ+Of4tfiF+Fb4KvgA99f3sPeI9173MPb/9sr2j/ZS9hP11fWY9WL1MvUL9O302fTO9Mn0yvTN9ND00vTP9Mf0uvSn9JD0dfRZ9Dz0IPQG8+/z3PPL873zsfOm85vzkfOG83rzb/Nj81nzT/NH80HzPfM58zfzM/Mu8yfzHfMP8v7y6fLT8rvyo/KL8nXyX/JK8jTyHPIB8eLxvfGT8WTxM/EB8NPwq/CO8H3wfPCJ8KXwyvD28SPxTfFt8YHxhfF58V/xOfEL8NrwqvB/8F3wQ/Az8CrwJfAi8BzwEvAC7+rvze+s74jvZe9E7ybvDe727uDuye6u7ovuYO4s7e/tqu1h7Rjs0uyU7GDsO+wk7B3sJOw37FPsdOyX7Lns1uzr7Pjs+uzz7OLsyuys7IvsaOxF7CTsB+vt69brw+uy66Prk+uC62/rWetA6yTrBurm6sTqoep+6lzqPOod6gLp6+nY6crpwum96b3pv+nB6cLpwOm76bDpoOmN6XbpX+lK6TjpK+kl6STpKekx6TvpRulO6VXpWOlZ6VvpXelk6XDpg+mf6cHp6uoW6kTqb+qU6rHqxOrM6snqvOqn6o3qcOpU6j3qLeoo6i7qP+pb6n/qqOrR6vTrD+sb6xfrAOrZ6qPqY+oe6dzpo+l46V/pWuln6YTprena6gbqK+pD6k3qR+oz6hPp7enE6Z7pf+lp6V/pYOlr6XvpkOmk6bXpv+nA6bjppumL6WfpPukQ6OHosuiF6FvoNugX5/7n6ufc59LnzefK58vnzefQ59Xn2ufg5+bn7efz5/jn/Of95/vn9efs59/nzue756fnked852fnVOdB5y/nHecK5vbm4ObI5q/mluZ/5mnmWOZL5kTmQuZF5k3mVuZh5mvmc+Z45nrmeuZ35nPmbuZq5mjmZ+Zo5mvmb+Zz5nfme+Z95n/mgOaB5oLmhOaG5ormjuaU5pvmouap5rDmt+a+5sXmy+bS5tnm3+bm5u3m8+b55v7nA+cH5wvnD+cT5xjnHeck5yznNOc950fnUOdY52DnaOdu53TneueA54fnjueX56Dnq+e358Tn0ufg5+3n+ugG6BHoG+gj6CvoMug46D3oQuhI6E7oVOhc6GXob+h76Ijol+in6Lnozeji6PnpEOkn6T/pVuls6YHplOmm6bXpwunP6drp5enx6f3qCuoY6ijqOOpI6lnqaep56ofqlOqh6q7qvOrL6tzq7usD6xnrMetJ62DrdeuJ65rrqeu268Lrzuvb6+rr/OwR7CnsQ+xe7HrslOyt7MPs1uzm7PTtAO0N7RrtKu087VLtau2E7Z/tuu3V7e3uA+4Y7izuP+5U7mzuhu6k7sXu5+8K7yvvSe9i73Tvge+H74nvie+J74zvku+f77Lvy+/q8A3wMvBX8HvwnvC+8N3w+/Ea8TrxXPGB8afxzvH08hjyN/JQ8mPycPJ28nnyefJ58nvygPKJ8pXypfK38sry3PLt8vvzBvMP8xbzHPMh8yfzLfM08zvzQvNH80vzTvNQ81HzUvNV81rzZPNw84HzlvOu88jz4/P+9Bj0MfRH9Fz0b/SA9JH0ovSy9MP01fTo9Pz1EvUr9Ub1Y/WE9ab1yvXv9hT2N/ZX9nT2jPag9rH2vvbJ9tL23Pbm9vL2//cN9x33LPc690j3Vfdg92r3c/d894T3jPeR95T3k/eN94L3cfda90D3JPcJ9vP25Pbh9ur3APck91T3jffL+Av4SPh++Kz40Pjq+Pv5BfkK+Q/5Ffke+S35QPlY+XL5jvmn+b750Pnd+eT56Pnp+en56/nv+fn6BvoY+i36RPpZ+m36fPqG+ov6jPqK+ob6hPqF+or6lfqm+rz62Pr2+xb7NftT+237hPuX+6j7tvvD+9H74Pvx/Ab8H/w7/Fr8fPyg/Mb86/0Q/TT9WP17/Z39wf3m/g7+Ov5p/pz+0v8K/0L/ef+s/9kAAAAfADYARwBTAFwAZQBvAHwAjQCkAL4A3QD+AR8BQQFiAYEBngG6AdIB6AH7AgcCDQIKAfwB4gG7AYgBSgEDALYAaQAd/9n/nf9s/0b/K/8Y/w3/Bv8B/vz+9/7w/un+4f7c/tn+2f7d/uX+8P79/wv/Gf8l/zD/Of9A/0b/S/9R/1f/Xv9n/3H/e/+F/4//mP+g/6b/q/+v/7L/tf+3/7n/u/+8/73/vv+9/7z/uf+0/6//qP+h/5n/kP+I/3//dv9u/2b/Xv9X/1D/Sf9C/zr/M/8r/yP/Gv8Q/wf+/f7z/un+4P7Z/tL+zf7J/sb+xf7E/sX+xv7H/sn+yv7M/s7+z/7Q/tH+0f7S/tL+0v7S/tL+1P7W/tn+3v7j/ur+8f75/wH/CP8O/xP/F/8Z/xv/G/8a/xn/Gf8Y/xn/G/8e/yP/Kf8w/zn/Qv9L/1P/XP9i/2j/bP9u/3D/cP9v/27/bf9t/23/bf9u/3D/cv9z/3X/d/95/33/g/+L/5b/o/+z/8X/2f/tAAAAEwAkADQAQwBSAGQAeACSALEA1gECATMBaQGgAdcCDAI8AmcCjAKpAsAC0gLeAuYC6wLvAvEC8QLyAvEC8QLxAvMC9QL7AwQDDwMeAzADRANYA20DgAOTA6QDtgPIA90D9gQVBDsEZwSbBNMFDgVIBX8FrwXVBfEGAQYGBgAF8gXfBcoFtAWgBZEFhgV/BX4FfwWDBYkFjwWUBZkFnAWfBaEFowWlBYAFhwWPBZgFpQW0BcUF2QXuBgYGHgY4BlIGbQaJBqUGwgbgBv4HHQc8B1kHcweKB5sHpQeoB6IHlQeAB2cHSgcsBxEG+QboBt4G3AbhBuwG+wcNByAHMQdAB0wHVgdcB2IHZgdrB3EHeAeAB4gHjweUB5cHlweVB5EHjQeLB4sHjgeVB6AHrQe7B8cH0AfVB9MHzAfAB7IHpAeZB5IHkQeWB6EHrge7B8YHzAfLB8QHuAesB6MHowexB9EIBAhJCJ0I+glYCa8J9gonCjwKNQoSCdgJjQk7COkInwhjCDkIIggdCCYIOAhPCGUIdwiCCIcIhQh/CHgIcwhyCHgIgwiVCKwIxQjfCPcJDQkeCSwJNQk6CT0JPgk9CTsJOQk2CTIJLgkqCSYJJAkkCSgJLwk6CUkJXAlwCYUJmQmpCbYJvQm/CbwJtAmnCZcJhAlvCVkJQQkoCQ4I8gjWCLkInAiBCGkIVQhGCD8IPghECFEIYwh5CJEIqgjDCNoI7gj+CQsJFAkYCRgJFAkMCP8I7gjZCMAIpgiJCG0IUgg4CCEIDgf9B+8H4wfZB84Hwge1B6cHmQeLB34HdAdsB2kHaQdtB3IHdwd8B34Hfgd6B3QHbAdlB2IHYwdqB3kHjwerB8sH7AgMCCcIOwhGCEkIQwg3CCUIEgf/B+0H3wfVB88HzAfKB8kHyAfHB8YHxQfFB8cHzAfSB9oH4AfiB90HzQewB4UHSgcCBq8GVgX8BacFWwUdBO8E0gTFBMcE1AToBQAFGAUvBUIFUwVhBW8FfgWOBaEFtgXMBeIF9gYGBhAGEwYQBggF+gXqBdkFygW8BbEFqAWiBZsFlAWKBX4FbQVZBUIFKgUSBPoE5QTTBMMEtgSpBJ0EjgR+BGoEUwQ5BB4EAQPkA8kDsAOZA4UDcQNeA0sDNQMcAwEC4gLAAp4CewJaAjwCIgINAf4B8wHtAekB5gHjAd4B1QHIAbcBogGIAWsBTAEqAQkA6ADHAKcAiABrAE4AMgAW//r/3P+9/5z/eP9R/yf++v7L/pn+Zv4z/gH90f2k/Xr9Uv0u/Qz86/zK/Kf8gvxZ/C37/fvL+5j7Y/sv+v36zfqf+nT6S/oi+fr50fmn+Xv5Tfke+O/4v/iR+GT4OPgO9+X3u/eQ92L3L/b59r72f/Y99fv1u/V+9Uj1GfT09Nn0x/S/9L30wfTH9M700/TU9ND0xvS39KP0i/Rw9FP0N/Qd9ATz7vPc88zzvvOy86fzm/OQ84PzdfNn81jzSvM+8zLzKfMi8xvzFvMQ8wjy/vLw8t/yyvKy8pjyfPJh8kfyL/IY8gLx6/HT8bjxmfF08UvxHvDv8MLwmfB58GTwXPBj8HjwmPC/8OrxE/E18UvxU/FL8TTxD/Dg8KzwdvBE8Bfv9O/a78jvvu+377Pvre+l75jvh+9z71vvQu8q7xHu+u7j7svusO6Q7mvuPu4K7dDtke1Q7RDs1eyi7HrsXexO7ErsU+xk7Hvsleyw7Mjs2+zn7Ovs6Oze7M3stuyb7H7sX+xB7CPsB+vs69Pru+ul647reOth60jrL+sT6vfq2eq66pvqe+pc6j7qIuoI6fHp3unO6cPpu+m26bPps+my6bDpremn6Z3pkemC6XLpYulS6UXpO+k06THpMekz6TbpOuk96T/pQelD6UbpTOlV6WTpeemU6bXp2+oE6i7qV+p96p7qt+rJ6tTq1urT6svqweq36rHqr+q16sLq1+rz6xPrNOtS62nrdOtw61vrNer+6rvqbuof6dPpkOlc6TrpK+ku6ULpYemH6a3pz+no6fTp9Ono6dPptumY6XvpYulS6UnpSulR6V7pbel76YbpjOmL6YLpcela6T3pG+j36NLoruiL6GzoUOg46CToFOgI6ADn++f55/nn+uf96AHoBegJ6A3oEOgR6BHoD+gJ6AHn9efm59TnwOeq55Tnfedn51PnQOcu5x7nDeb95uvm2ObE5q/mmuaF5nPmY+ZW5k7mSuZL5k7mVOZa5mDmZeZp5mrmaeZm5mPmYOZe5l3mXuZh5mXmauZv5nPmduZ55nrmeeZ55njmeeZ65n3mgeaH5o7mlead5qTmq+ax5rfmu+bA5sTmyebO5tPm2Obd5uPm6Obu5vLm9+b85wHnBucM5xPnG+ck5y3nNuc/50jnUedY51/nZuds53LneOeA54jnkeec56fns+e/58vn1+fi5+zn9ef+6AXoDOgT6BvoIugq6DPoPehI6FToYOhu6H3ojuif6LPox+jd6PXpDOkk6TzpUuln6XnpiemX6aPprem36cDpy+nX6eTp9OoF6hjqK+o+6lDqYepv6nzqh+qR6pvqpuqz6sPq1erq6wHrGesy60rrYet164frluuk67HrvuvN697r8ewI7CHsO+xV7G/shuyb7KzsuuzG7NHs3Ozp7PrtDu0n7UTtZe2I7avtze3t7gnuI+467k/uZO577pTusu7U7vrvI+9M73Xvmu+679Lv5O/u7/Hv8e/v7+7v8O/38ATwGPAy8FHwc/CW8Lnw2/D78RjxM/FN8WfxgfGd8bnx1fHx8gzyJPI48kjyU/Ja8l7yX/Jf8mDyY/Jo8nDyfPKJ8pnyqfK58sjy1fLh8uvy8/L78wHzBvMM8xDzFPMZ8xzzIPMk8ynzL/M280DzTPNa82nze/OO86Lzt/PM8+Pz+fQQ9Cj0QPRZ9HL0i/Sk9Lz00/Tq9QD1F/Uv9Un1ZfWD9aT1xvXp9gv2KvZG9l32cPZ99ob2jfaT9pn2ofat9rz2zvbi9vf3DPce9y33OfdB90b3SvdN91H3V/dg92r3dPd+94T3h/eD93r3bfdc90v3Pfc29zf3Rfde94P3svfo+CL4WviN+Ln42/jy+P/5BPkF+QP5A/kG+Q/5Hvky+Un5Y/l7+ZD5ofms+bL5s/mx+bD5r/mz+bv5yfnb+fH6Cfog+jX6RvpR+lj6W/pa+ln6Wvpd+mb6dPqI+qH6v/rf+v/7H/s8+1X7a/t9+4z7mfum+7P7wvvU++n8Afwb/Dn8WPx4/Jj8uPzY/Pf9Ff00/VP9df2Z/cD96/4a/kz+gf62/uv/Hf9L/3P/lv+y/8n/2//r//oACgAdADQATgBsAIwArgDPAO4BCwEkAToBTQFcAWoBdQF+AYQBhgGCAXYBYAFAARYA4ACiAF4AFv/P/4z/UP8d/vX+1/7C/rX+rf6p/qX+of6b/pX+jf6G/oH+f/6A/oX+j/6c/qv+vP7M/tz+6v72/wH/Cv8T/xv/Jf8v/zr/Rv9T/1//bP92/4D/h/+N/5H/lP+X/5n/m/+d/5//of+j/6X/pf+k/6L/nv+Z/5L/i/+C/3r/cf9p/2H/Wf9R/0n/Qf84/y7/JP8Y/wz+//7y/uX+2P7N/sL+uf6w/qn+o/6d/pj+k/6P/ov+h/6E/oH+f/59/n3+fP58/n3+ff5+/n/+gf6D/ob+if6O/pT+m/6k/q3+t/7B/sv+1P7d/uT+6/7w/vX++P77/v7/Af8E/wf/C/8Q/xX/G/8i/yr/Mv86/0L/Sf9Q/1X/Wf9b/1z/W/9Z/1f/Vf9S/1H/Uf9R/1T/WP9d/2P/a/91/4D/jf+c/63/v//T/+j//gATACYAOQBKAFkAaAB4AIkAngC4ANcA/QEpAVoBkAHHAf4CMQJgAogCqALAAtAC2QLeAt4C3gLdAt0C3wLiAugC7wL3Av4DBgMNAxIDGAMcAyEDJwMtAzYDQQNPA2EDdwOSA7MD2QQFBDcEbQSnBOIFHQVVBYkFtQXYBfEGAAYEBf8F8QXeBcYFrQWVBX8FbAVeBVQFTwVOBVAFVAVaBWAFZgVsBXEFdgV7BR4FLgVABVMFaAV/BZgFsQXMBeYGAAYaBjIGSgZgBnYGjAaiBrgGzwbmBvwHEQckBzMHPgdDB0MHPQczByQHFQcEBvYG6wbkBuEG5AbqBvQG/wcKBxUHHwcmBysHMAc1BzoHQgdLB1cHZAdxB34HiQeRB5UHlQeRB4sHhQeAB30HfweFB5AHngevB78HzQfYB90H3gfaB9MHywfDB70Huwe7B78HwwfGB8YHwQe2B6YHkgd8B2oHXwdeB2sHiAezB+oIKghsCKoI3wkGCRsJHAkMCO0IwwiUCGcIPgggCAwIAwgECAsIFgggCCcIKQglCBsIDwgBB/UH7gftB/MIAAgSCCgIPwhVCGgIdwiACIQIgwh/CHkIcwhtCGgIZQhjCGEIYQhiCGQIZghrCHIIfQiLCJwIsQjICOAI+AkOCSAJLgk2CTkJNwkvCSQJFQkFCPMI4QjPCL0IqwiZCIgIdwhnCFgISwhACDgIMwgwCDEINAg6CEEISAhQCFcIXghkCGkIbQhvCHAIbwhtCGgIYQhYCE0IQQgyCCMIFAgFB/YH6AfbB84HwQe0B6cHmQeLB34HcgdoB2EHXQddB18HZAdqB28HcwdzB3EHagdhB1cHTgdIB0gHTwdgB3gHmQe/B+gIEAg0CFEIZQhuCG0IYwhSCD0IJggSCAEH9QfuB+sH7AfuB/AH8QfwB+4H6gflB+EH3wfeB90H2gfVB8gHsweSB2QHKQbiBpEGPAXmBZQFTAUQBOQEyAS9BL8EzQTjBP8FHAU6BVcFcgWLBaQFvAXUBesGAQYUBiIGKwYrBiQGFAX9BeEFwQWhBYIFaAVTBUMFOAUxBSwFJwUgBRUFBgTzBNwExASrBJQEfwRuBGAEVQRMBEQEOwQwBCEEEAP7A+UDzAO0A50DhwN0A2IDUQNAAy4DGgMBAuUCxgKkAoACXQI8Ah4CBgHzAecB3wHbAdkB2AHUAcwBwAGuAZUBeAFVATABCADfALcAkQBuAE0ALwAU//z/5f/P/7n/ov+I/2z/TP8p/wH+1f6l/nP+P/4L/dj9p/16/VD9Kv0I/On8y/yu/JD8b/xM/CX7+vvN+537bPs6+wr62/qt+oH6V/ot+gP52fmu+YL5Vfkp+Pz40Pim+H34Vfgv+Aj34Pe294j3Vfce9uP2o/Zh9h/13vWg9Wn1OfUR9PP03/TS9M30zvTR9Nf03PTf9N702fTQ9ML0r/Sa9IP0a/RT9Dz0J/QU9APz9PPm89nzy/O886vzmfOF83HzW/NG8zLzH/MP8wDy8vLl8tfyyPK28qHyiPJs8k7yMPIR8fTx2fHB8azxmfGG8XLxW/FA8SDw/PDV8K3wiPBn8E/wQ/BC8E/wZvCG8Kvwz/Du8QPxCvEC8OnwwfCM8E/wDu/N75LvX+837xvvCu8E7wXvC+8U7xzvIu8l7yPvHe8T7wPu7+7W7rnul+5x7kXuFe3j7a7tee1G7Rjs7+zN7LXspeye7J/speyw7LzsyezT7Nvs3uzd7NfszOy+7KzsmOyC7GrsUuw57B/sBevq68/rs+uX63rrXes/6yLrBOrm6sjqq+qO6nLqV+o86iTqDOn26ePp0unD6bfpreml6aDpnOmY6ZXpkumO6Yjpgul66XLpaelg6VfpTulF6T7pNukw6SrpJOkg6R3pHOke6SPpLOk66UzpY+l/6Z/pwunn6g3qNOpa6n/qourD6uHq/usZ6zLrS+tl63/rmuu269Lr7uwH7BzsKuwv7CfsEuvu67rreOsr6tXqfOol6dXpkOlb6TfpJekl6TLpS+lp6Yjpo+m46cTpxum/6bDpnOmF6W7pW+lM6ULpPek96T/pQulF6UXpQek56S7pHukL6Pfo4ejK6LXooOiO6H3ob+hj6FjoUOhK6EXoQuhA6D/oPug96DzoOug36DLoLOgj6BnoDOf95+zn2efF57DnmueE52/nWudH5zXnJOcV5wbm+Obq5tvmzOa85qzmm+aL5n3mcOZl5lzmV+ZU5lLmUuZS5lPmVOZT5lLmUeZQ5k/mT+ZR5lTmWOZd5mLmaOZt5nDmc+Z05nTmdOZz5nPmdOZ35nvmgOaH5o7mleac5qLmp+ar5q7msOay5rTmt+a85sHmyObQ5tjm4Obn5u7m9eb65v7nAucG5wrnD+cV5xznI+cs5zTnPedG507nVudd52Tna+dx53jngOeI55Dnmeej56zntufA58nn0+fd5+fn8ef86AfoE+gg6C3oO+hI6FfoZuh06ITolOil6Lfoy+jf6PTpCeke6TLpRelX6WbpdOl/6Yrpk+md6ajptOnD6dTp5un76g/qJOo46knqWOpl6m/qd+p+6obqj+qa6qnquurP6ubrAOsa6zTrTOtj63frieuZ66jrt+vG69br6Ov67A7sI+w37ErsXOxu7H7sjeyd7K/sxOzd7PrtG+1B7Wntk+297eXuCu4r7kjuYe537o3uo+677tju+e8g70vveu+p79fwAvAm8ELwV/Bj8GfwZ/Bj8F/wXPBd8GTwcPCC8JjwsfDM8OfxAfEY8SzxPvFO8V3xbPF78YvxnfGw8cTx1/Hq8fryCfIU8h3yJPIo8izyL/Iy8jfyPfJF8k/yWvJn8nTygvKQ8p3yqfK18sDyyfLS8tvy5PLt8vbzAfMN8xvzKvM680rzWvNq83nzhvOS853zqPOz88Dzz/Ph8/f0EPQs9Er0avSK9Kr0x/Tk9P71F/Uw9Un1ZPWA9Z71vvXd9fv2F/Yv9kL2UPZa9mD2ZfZp9nD2e/aL9qD2ufbU9vD3Cvcg9zH3O/dA90D3Pfc59zj3OvdC91D3Yvd595D3pfe498X3zffQ98/3zPfM99D32/fu+An4LfhV+ID4qfjO+Ov4//kJ+Qr5A/j4+Ov44fjb+Nv44vjw+QL5GPkt+UH5Ufld+WP5Zflk+WP5Yvlk+Wv5dfmE+Zb5qvm/+dH54vnw+fr6A/oL+hP6Hfor+jz6Ufpq+ob6o/rA+tz69fsM+x/7MPs/+0z7Wvtp+3r7jvuk+7z71vvx/Az8J/xB/Fr8cvyK/KH8uvzV/PL9Ev03/V/9i/26/ez+Hv5P/n/+rP7V/vn/Gf80/03/ZP96/5L/rP/I/+gACgAtAFEAcwCTAK8AxwDZAOgA8gD7AQEBBgEJAQsBCgEEAPcA4QDCAJgAZAAm/+P/nP9V/xL+1f6j/nv+X/5N/kT+Qv5E/kf+Sv5L/kr+Rv5B/jv+N/41/jf+Pf5G/lT+Y/50/oX+lv6m/rT+wf7N/tn+5P7w/vz/Cf8W/yL/Lv85/0L/Sf9P/1T/WP9b/17/Yv9n/23/c/94/33/gf+D/4P/gP98/3b/b/9n/1//WP9R/0v/Rv9A/zr/M/8r/yH/Ff8I/vn+6f7a/sr+vP6v/qP+mf6Q/oj+gf55/nL+av5h/ln+UP5J/kH+O/43/jT+M/4z/jT+N/46/j7+Q/5J/k/+V/5g/mr+df6B/o7+m/6o/rT+wP7L/tX+3v7m/u3+8/75/v//BP8K/w7/E/8Y/xz/If8l/yr/L/80/zr/P/9E/0f/Sv9L/0r/SP9F/0H/PP84/zX/M/81/zn/Qf9L/1j/aP96/47/pP+6/9L/6QABABkAMABHAF0AcQCEAJcAqQC8ANAA5wEBAR4BQAFmAY8BugHmAhECOQJcAnoCkAKgAqkCrQKtAqwCqgKqAqwCsgK7AsUC0gLfAuoC9AL7Av4C/gL8AvkC9gL1AvcC/gMMAyADOwNdA4YDtAPnBB4EVwSQBMgE/QUuBVoFfwWcBbEFvgXCBb4FswWiBYwFcwVXBTwFIgUKBPYE5wTcBNUE0wTUBNkE4QTqBPUFAgUPBNYE8AULBSgFRgVlBYMFoQW+BdoF8wYLBiAGMwZEBlMGYgZxBoAGkAagBq8GvgbMBtcG4AblBuYG5QbgBtoG1AbOBssGygbNBtQG3QboBvQHAAcLBxMHGgcfByIHJgcqBzAHOQdFB1MHYwdzB4EHjQeVB5gHlweSB4oHggd7B3cHdwd+B4oHmgetB8IH1gfnB/MH+gf8B/gH8QfnB90H0gfJB8AHuAewB6YHmgeLB3kHZgdSB0EHMwctBy8HOQdNB2gHhwepB8oH5Qf6CAcICwgHB/4H8gfmB9wH1gfWB9oH4QfqB/EH9QfyB+oH2gfGB60HlQd+B2wHYgdgB2YHcweFB5oHrwfBB88H1wfZB9YHzgfEB7gHrAejB5sHlgeUB5MHlAeXB5sHoAenB7EHvgfOB+MH+wgXCDQIUghuCIcInAisCLYIuQi3CLEIpgiaCI0IfwhyCGYIXAhTCEwIRQg+CDkIMwgtCCcIIQgbCBQIDggHB/8H9wfvB+cH3wfYB9IHzgfLB8oHywfNB9AH0wfWB9kH2gfZB9cH0gfLB8MHuAesB58HkQeDB3UHZwdcB1IHSwdIB0cHSQdNB1MHWQddB2AHXwdbB1MHSQc+BzQHLgcuBzUHRQdfB4EHqQfWCAQILwhUCHAIggiJCIUIeQhnCFEIOwgoCBkIDwgLCAsIDwgTCBcIGQgZCBUIDwgHB/0H8wfqB98H1AfFB7AHlQdwB0EHCAbGBn0GMAXiBZkFVgUfBPQE2ATKBMgE0wTnBQIFIwVHBW0FlAW7BeIGCAYsBksGZAZ1Bn0GegZqBlAGKwX9BcsFlgVjBTQFDATtBNUExQS7BLUEsASqBKEElASEBHAEWgRDBC4EGwQLA/8D9gPvA+kD4gPaA9ADwgOyA58DiwN4A2UDUwNDAzQDJgMXAwYC8gLaAr0CngJ7AlcCMwISAfQB3AHJAb0BtQGwAa0BqgGlAZsBiwF2AVoBOAERAOcAuwCOAGMAOQAT//D/0f+1/53/h/9y/17/Sf8y/xj+/P7b/rb+jf5h/jL+Af3Q/aD9cv1H/R/8/Pzb/L38ofyF/Gj8Svwp/AX73vu1+4n7XPsv+wL61fqo+n36Ufol+fn5zPme+XD5QvkU+Oj4vviV+G/4S/go+AX34fe695H3Yvcv9vf2vPZ99j71//XD9Yv1WfUv9Qz08vTf9NP0zfTM9M300PTS9NP00vTN9MX0uvSr9Jr0h/R09GD0TfQ79Cv0HPQO9ADz8vPi89Dzu/Ok84rzb/NS8zXzGPL88uLyyfKx8prygvJp8k7yMvIT8fPx0vGy8ZTxefFg8UvxOfEo8RfxBfDw8Njwu/Cc8HvwW/A/8CnwHPAa8CPwNvBR8HHwkvCu8MDwxvC78J/wc/A37/Dvo+9U7wruyO6S7mzuVu5P7lbuaO6C7qDuvu7a7u/u/O8A7vnu6e7P7qzug+5U7iLt7u287YztYe077R3tBuz27O3s6ezq7O7s8+z37Pns+ez17O3s4uzU7MTss+yg7I7se+xo7FXsQuwt7Bfr/uvl68jrquuK62nrSOsl6wPq4urC6qLqhepo6k7qNOoc6gbp8end6cvpu+ms6Z/plOmK6YLpe+l26XLpb+lt6WrpaOll6WDpW+lU6UvpQOkz6SbpF+kJ6Pvo7+jm6OHo4Ojj6Ozo+ekK6R/pNulQ6Wvph+ml6cTp5OoH6i3qV+qH6rvq9esz63Xruuv/7EPsg+y97O3tE+0r7TTtLe0T7OjsrOxg7Ajrpes96tPqbuoP6b3pe+lJ6SnpGekZ6SXpOulS6WvpgemS6Zzpnuma6ZDpgulz6WPpVelJ6T/pOOky6S3pJ+kh6RjpDukC6PTo5ejX6Mjou+iv6KXoneiW6JHojOiJ6IbohOiC6IDofuh86Hnodehw6GjoX+hS6EToMugf6Ann8+fb58TnrOeV54Dna+dY50bnNecm5xfnCub85vDm4+bY5szmwea25qzmouaZ5pHmieaC5nvmdeZu5mjmYeZb5lTmTeZH5kHmPeY75jvmPOZA5kXmTOZS5lnmX+Zj5mbmZ+Zn5mbmZuZm5mbmaeZu5nTme+aE5o3mlead5qPmp+aq5qzmreau5rDms+a45r7mxubP5tnm4ubr5vPm+eb95wDnAucD5wTnBucI5wznEecY5x/nKOcx5zvnROdN51XnXedl52znc+d754PnjOeV557nqOey57znx+fS593n6Of06AHoDegb6CjoNuhF6FXoZeh16Ifomeis6MDo1Ojp6P7pEekk6TbpRelT6V/paely6XvphOmO6Znpp+m36cjp3Onv6gPqFuon6jbqQ+pM6lXqW+pi6mrqc+p/6o/qouq56tLq7esK6yfrQ+td63bri+uf67Drv+vN69nr5evw6/zsB+wT7CHsMOxC7FfscOyN7K7s1e0A7S7tXu2P7cDt7e4X7jzuW+527o3uoO607sju3+787x7vRu9z76Xv2fAM8DzwaPCM8Kjwu/DG8MvwyfDF8MDwvfC88L/wx/DT8OLw8/EF8RfxJ/E08T7xRvFM8VDxVfFZ8WDxaPFy8X/xjfGb8anxt/HD8c3x1PHZ8dvx3PHd8d3x3/Hi8ejx8PH88gryG/Iu8kLyV/Js8oHylPKm8rjyyfLa8uzy/vMS8yfzPfNS82jze/OM85vzpvOv87XzuvO/88bz0PPe8/H0CfQl9ET0ZfSH9Kj0x/Tj9P31FvUt9UX1XfV39ZP1sPXO9er2BfYc9i/2PfZI9lD2V/Zf9mr2efaP9qn2yPbp9wv3KvdF91j3Zfdq92n3Zfdf91r3Wvdg9273gved97v32/f6+BX4LPg++Ev4Vfhe+Gf4c/iD+Jf4rvjI+OP4+/kO+Rr5H/kb+RH5Avjx+OH40/jM+Mv40vjf+PH5Bfka+S35PPlH+Uz5TPlJ+UP5Pvk6+Tn5O/lB+Un5VPlh+W75fPmK+Zn5qfm7+c/55/oB+h76Pfpd+n36mvq1+sz63/ru+vr7BfsP+xr7J/s3+0r7YPt4+5L7q/vF+9z78vwG/Bj8Kvw7/E78ZPx9/Jr8u/zh/Qr9Nv1k/ZP9wf3t/hf+P/5i/oP+ov7A/tz++f8X/zf/WP98/6D/xP/oAAoAKABEAFoAbgB9AIoAlQCeAKcArwC2ALoAugC0AKUAjABoADn///+7/3H/Jf7Z/pL+VP4g/fn93/3Q/cz9z/3Y/eL97P30/fj9+v34/fb98/3x/fH99f39/gf+Ff4l/jX+R/5X/mf+dv6E/pL+n/6s/rn+xv7T/uD+6/71/v7/Bf8K/w//E/8Y/xz/Iv8p/zH/Of9B/0j/Tf9Q/1H/T/9L/0X/P/84/zL/LP8o/yX/I/8h/x3/Gf8T/wr+//7y/uP+0/7D/rP+pf6Y/oz+gv55/nH+aP5g/lf+Tf5D/jn+Lv4l/h3+F/4S/hD+EP4R/hX+Gf4f/iX+LP41/j7+Sf5V/mL+cf6A/pH+of6x/sH+0P7d/un+9P7+/wf/D/8X/x3/JP8p/y7/Mv81/zf/OP85/zr/O/88/z7/QP9C/0P/RP9D/0H/Pv85/zP/Lf8o/yX/JP8m/y3/OP9H/1r/cP+J/6P/vv/Z//QADgAnAEAAWABwAIgAoQC5ANIA6wEEAR4BOAFSAW0BhwGiAb0B1gHuAgQCFwIoAjQCPgJEAkcCSQJKAkwCUAJWAl8CawJ6AooCmgKqArgCwgLJAswCywLIAsMCwAK/AsMCzALcAvQDEwM5A2UDlgPJA/4EMgRlBJUEwQTpBQwFKgVDBVYFYwVqBWsFZgVbBUsFNgUeBQME5wTLBLIEmwSIBHoEcgRvBHEEeQSFBJUEqAS+BK8EyQTlBQMFIwVDBWQFhAWjBcEF2wXzBggGGgYqBjcGRAZPBlsGZgZxBn0GiAaSBpoGoAakBqYGpQakBqIGoAagBqMGqQaxBr0GywbaBuoG+AcFBxAHGAcfByQHKQcuBzUHPgdJB1YHZQd0B4EHjAeUB5cHlgeTB40HhgeBB34HgAeHB5QHpQe5B88H5Qf4CAgIEggXCBYIDwgEB/YH5gfVB8QHswejB5MHgwdzB2MHVQdIBzwHNAcwBzAHNQc9B0cHVAdgB2wHdgd9B4IHhQeIB4sHkQeZB6UHtAfFB9cH5gfyB/cH9QfpB9YHvAedB30HXQdCBy8HIwcgByYHMwdEB1gHawd7B4YHjAeMB4cHfQdxB2QHWAdMB0IHOwc1BzEHLgcsBywHLQcwBzcHQQdQB2QHfQeZB7kH2Qf5CBYILwhDCFAIWAhZCFUITghFCDoILwgmCB8IGQgWCBMIEggSCBEIDwgMCAgIAgf7B/IH5wfaB80HvgevB58HkQeEB3gHbwdqB2cHaAdrB3EHeAeAB4cHjQeRB5IHkQeMB4QHeQdsB14HUAdCBzQHKQchBxsHGAcYBxoHHgcjBygHLActBywHKAciBxkHEAcHBwEHAAcFBxIHJgdCB2UHjQe2B98IBAgjCDsISQhOCEsIQQgzCCMIEwgGB/wH9wf3B/oH/wgECAkIDAgMCAkIAgf5B+4H4QfTB8IHrweZB34HXQc1BwYGzwaSBlEGDgXMBY0FVQUmBQEE6ATbBNkE4gT0BQ4FLgVUBX0FqAXWBgMGLgZVBnYGjwaeBqAGlgZ+BlkGKgXzBbYFeQU9BQcE2ASyBJUEgQRyBGgEYARZBE8ERAQ1BCQEEQP/A+0D3QPQA8YDvgO3A7EDqwOjA5gDiwN7A2oDWANGAzUDJQMWAwkC+wLtAtwCyQKxApYCdwJVAjICDwHuAdABtgGiAZIBhgF9AXUBbQFjAVYBQwEsAQ8A7QDHAJ4AcwBIAB7/9v/Q/67/jv9y/1j/QP8p/xL++/7i/sf+qv6J/mb+P/4W/ev9v/2T/Wj9P/0Y/PT80/y0/Jb8evxd/D/8IPv/+9z7tvuP+2f7PvsV+uv6wvqY+m76Q/oX+er5vPmM+Vz5LPj9+M/4pPh7+Fb4MvgQ9+73zPen94D3VPck9u/2uPZ99kL2B/XO9Zj1aPU+9Rv0//Tp9Nr00PTL9Mj0yPTJ9Mn0yPTE9L70tfSp9Jr0ifR29GP0UPQ+9C70HvQP9AHz8/Pj89LzvvOm84zzbvNO8yzzCvLn8sbypvKH8mryTfIx8hXx+PHa8bzxnvGA8WPxR/Eu8RjxA/Dw8N3wyvC18J7whfBq8E7wMvAa8Ajv/e/68ALwEvAp8EXwYfB68Irwj/CF8GrwPvAD77vvbO8Z7sjuf+5B7hPt9+3s7fLuBu4m7k3udu6e7r/u2O7l7uXu2O6+7prube467gTtzu2b7W3tRu0o7RHtA+z87Pvs/e0C7QftC+0L7QjtAOz07OXs0+y/7KrsleyB7G7sXOxK7DnsJ+wV7AHr6uvS67brmet561frNOsR6u3qy+qp6ojqaepM6jHqF+oA6evp1+nE6bTppOmW6Ynpful06WvpZOle6VnpVulU6VLpUOlO6UrpROk86THpI+kT6QLo7+je6M7owei56LbouejB6M/o4Oj16QzpIuk56U7pYul16Yrpoem96d/qCupA6oDqy+sg633r3+xD7KPs/e1M7Yvtt+3P7c/tt+2I7UPs7OyG7BXrnesl6rHqRunn6ZjpWekt6RLpBukI6RPpJOk46UvpXOlo6XDpcelu6WjpX+lV6UvpQuk66TPpLeko6SLpGukS6Qjo/ejx6OXo2OjN6MPouuiz6K3oquin6KXopOij6KLoouih6J/oneia6Jboj+iF6HnoaehW6EHoKegP5/Pn2Oe+56Tnjed352TnUudC5zPnJecW5wjm++bt5uDm1ObI5r/mt+ay5q7mrOaq5qrmqOal5qHmm+aR5obmeeZr5lzmTuZB5jfmMOYs5izmL+Y05jzmROZN5lTmWuZd5l/mXuZc5lnmV+ZW5lfmWuZg5mnmc+Z+5ormluag5qnmr+a05rfmuOa55rrmvOa/5sTmyubR5tnm4Obo5u7m8+b35vnm+ub75vvm/Ob+5wHnBecL5xPnG+ck5y7nN+dB50nnUuda52Lna+dz53znhueR55znp+ez577nyefU593n5+fw5/noAugL6BboI+gx6EHoVOhp6IDomOiy6Mzo5uj+6RXpKek76UnpVele6WXpa+lw6XbpfemF6Y/pnOmq6brpy+nc6e3p/eoL6hnqJOov6jrqRepR6mDqceqE6pvqterR6vDrEOsw60/rbuuL66XrvevR6+Hr7uv46/7sA+wG7AnsDOwT7B3sLexD7GHshuyz7ObtH+1a7Zbt0O4H7jfuYO6C7pvur+697snu1O7j7vbvD+8w71fvhe+37+zwIfBT8IDwp/DF8Nzw6/D08Pfw+PD38Pfw+fD+8QbxEfEe8S7xPfFM8VnxY/Fq8W/xcfFx8W/xbfFs8WvxbPFu8XHxdvF78YDxhfGJ8Yvxi/GK8YjxhfGD8YHxgvGG8Y3xmfGp8b7x1/H08hLyMvJS8nHyj/Kr8sby3vL18wzzIvM4807zZPN5847zoPOx877zyPPQ89bz2/Ph8+jz8vQA9BL0KfRC9F/0fPSZ9LT0zvTl9Pn1C/Ud9TD1RPVa9XL1jfWp9cb14fX69hD2I/Yy9kD2TPZa9mr2f/aY9rb22fb+9yT3SPdo94L3lfei96n3q/es96z3sPe498X32ffx+A74LPhJ+GX4fviS+KP4sPi8+Mb40fje+Ov4+vkK+Rj5JPkr+S75LPkl+Rv5D/kE+Pz4+fj8+QX5Ffkp+UD5WPlu+YD5jPmS+ZH5i/mA+XL5YvlU+Uf5Pfk2+TL5M/k2+T35RvlU+WX5evmU+bL51Pn5+iD6SPpu+pL6sfrK+t/67fr3+v77A/sI+xD7Gvso+zn7Tvtl+337lvut+8P71vvo+/n8Cfwb/C/8Rvxg/H/8ofzG/O39Ff0+/WX9iv2t/c/97v4M/ir+Sf5o/on+rP7R/vf/Hv9E/2n/jP+r/8f/3v/yAAMAEgAfACsAOABFAFIAXwBqAHEAcgBrAFkAPQAU/+D/of9b/w/+wv53/jL99v3F/aH9iP17/Xf9ev2C/Yv9lP2c/aH9o/2k/aP9o/2j/ab9rP21/cD9zv3d/e39/P4M/hr+KP42/kP+UP5e/mz+ev6I/pX+of6s/rX+vf7D/sf+zP7Q/tX+2/7i/ur+8v76/wH/Bv8K/wv/C/8I/wT/AP77/vj+9f70/vT+9P70/vT+8v7u/uj+3/7V/sj+u/6u/qH+lf6L/oL+ev5z/mz+Zf5d/lT+S/5B/jj+L/4o/iL+Hv4d/h7+IP4k/in+L/41/j3+RP5N/lf+Yv5v/n/+kP6i/rX+yf7d/vD/Av8T/yL/Lv86/0T/Tf9U/1v/YP9k/2f/aP9o/2b/Y/9f/1v/Vv9S/0//TP9K/0j/R/9E/0H/Pf85/zP/Lv8r/yn/Kv8v/zj/R/9Z/2//if+k/8D/2//2AA8AJgA9AFIAZwB9AJQArQDIAOQBAgEgAT0BWQFzAYoBnQGsAbcBvwHDAcUBxQHDAcIBwQHBAcQByQHQAdsB6QH7Ag4CJAI6AlECZgJ5AokClQKdAqICpAKkAqMCowKmAq0CuQLLAuMDAQMkA0wDdgOjA9AD/QQoBFAEdwSaBLoE2ATxBQgFGwUpBTMFNwU2BTAFJAUUBQAE6QTQBLcEoASLBHkEbARkBGEEYwRqBHYEhQSZBIEEjASbBK8ExwTjBQEFIgVDBWMFggWeBbcFzQXfBe4F+gYEBg0GFQYeBicGLwY4BkAGSAZPBlQGWAZbBl0GYQZlBmoGcgZ8BokGlwamBrUGxAbSBt4G6AbwBvcG/QcDBwoHEgccBycHMwc/B0sHVQddB2MHZgdnB2YHZQdkB2UHaQdvB3oHiAeYB6kHuwfLB9kH4wfpB+sH6AfhB9cHyge8B6sHmweKB3oHagdcB08HRAc8BzYHMwcyBzUHOQc/B0UHTAdSB1YHWgdcB14HYQdlB2wHdgeEB5QHpwe6B8sH2QfhB+MH3AfOB7kHngeAB2IHRgcvBx4HFQcUBxoHJQc0B0UHVQdiB2wHcQdyB28HagdiB1kHUAdHBz8HNwcvBycHIAcYBxEHDAcJBwkHDgcYBygHPQdWB3MHkAeuB8kH4QfzCAAIBwgJCAYIAQf5B/EH6gfkB+EH3wffB+AH4QfjB+MH4gfeB9kH0QfIB7wHrwegB5EHggdzB2QHVgdLB0IHPAc4BzgHOgdAB0YHTgdWB10HYwdlB2UHYgdbB1IHRgc4BykHGwcNBwEG9wbvBukG5gblBuQG5QbmBuYG5QbjBuAG2wbVBs8GygbGBsUGxwbOBtkG6Ab8BxMHKwdEB1wHcgeEB5AHmAebB5oHlgeQB4kHhAeAB34HfweCB4cHjQeTB5gHnAeeB54HmweWB44Hgwd2B2UHUAc1BxUG7wbDBpEGWgYfBeQFqQVyBUAFFQTzBNsEzQTIBMwE1wTpBQAFHAU6BVoFfAWeBcAF3wX7BhEGIQYpBicGGwYEBeQFvAWNBVsFKAT3BMoEogSABGUEUARABDMEKAQdBBIEBQP3A+gD2QPKA7wDsAOmA54DmAOSA4sDhAN7A28DYgNTA0IDMgMhAxIDAwL2AukC3QLPAsACrgKZAoECZQJHAigCCAHqAc4BtAGeAYwBewFtAV8BUAFAASwBFQD5ANoAtwCRAGkAQAAX/+//yf+l/4P/ZP9H/yz/Ev75/uD+xv6r/o3+bv5M/in+A/3c/bX9jf1m/UH9Hfz7/Nv8vPyf/IH8ZPxG/Cb8Bfvi+737mPtx+0r7JPr9+tf6svqM+mX6PvoV+er5vfmQ+WH5M/kG+Nn4sPiI+GP4P/gd9/r31feu94T3Vvck9u/2tvZ89kL2CfXT9aL1dfVP9S/1FPUA9PH05vTe9Nj01PTQ9Mv0xfS99LL0pfSV9IP0b/Ra9EX0L/Qb9Afz9fPk89Pzw/Oy86Dzi/N181vzP/Mh8wHy4PLA8qDygvJm8kvyMvIa8gLx6vHS8bjxnvGD8WfxTPEy8Rjw//Do8NHwu/Ck8Izwc/Ba8EDwJ/AR7/7v8O/p7+nv7+/88AzwHvAv8DrwPfA18CDv/u/O75PvUO8I7sDue+4/7g7t6+3Y7dTt3u307hPuNu5a7nvule6l7qruo+6P7nHuSe4b7ejtte2D7VXtLu0O7Pbs5ezc7Njs2ezb7N/s4Ozg7Nzs1OzJ7LvsqeyW7ILsbexZ7EXsMewf7Azr+evm69Hru+uj64jrbetP6zDrD+ru6s3qrOqM6m7qUOo16hvqBOnu6dvpyem56arpnemQ6YXpeulw6WjpYOla6VXpUelO6UzpSulH6UPpPek06SnpG+kL6Pro6ejY6Mvowei96L7oxejS6OPo+ekQ6SnpQOlV6WnpeumK6ZvprunG6ebqD+pD6oPq0Osm64Tr6OxM7KztBO1P7Yjtre287bLtkO1X7QvsrexD69LrXerr6n7qHenI6YLpTeko6RHpB+kH6Q/pG+kp6TXpQOlH6UnpSelF6T7pN+kv6SfpIekc6RfpFOkR6Q7pCukF6P/o+Ojx6Ono4ejZ6NHoyujE6L7ouei16LHoreiq6Kfopeii6J/om+iW6I/ohuh66GvoWehE6C3oE+f559/nxueu55jnhedz52PnVOdF5zfnKOcY5wfm9ebk5tTmxea55rHmrOaq5qvmr+az5rjmu+a85rnms+ao5prmieZ25mPmUuZD5jjmMeYv5jLmOOZC5k3mWOZj5mvmcOZy5nHmbeZo5mLmXeZZ5ljmWuZg5mnmdOaB5o/mneaq5rXmvebD5sfmyObI5sfmxubF5sbmx+bK5s7m0+bY5t3m4ubm5urm7ebx5vTm+Ob85wLnCOcQ5xjnIecp5zLnOudB50jnT+dV51znY+dr53TnfueJ55Xnoeeu57nnxefO59fn3ufl5+vn8ef56ALoDugd6DDoRuhg6Hzomui46Nbo8+kM6SLpNOlC6UzpU+lX6VrpXelg6WXpbel26YLpkOmf6bDpwenS6ePp8+oD6hPqI+o16knqX+p46pTqsurT6vbrGus/62Prh+up68rr6OwD7BvsL+w/7EzsU+xX7FjsVuxS7E7sTexQ7Frsa+yG7Kvs2u0R7U/tku3V7hbuUu6G7rDuz+7l7vLu+O777v3vAu8M7x7vOO9b74Tvs+/k8BbwRPBv8JLwrvDD8NHw2vDf8OPw5/Dt8PXxAfEQ8SLxNvFK8V3xb/F/8YvxlfGb8Z/xofGh8Z/xnfGb8ZjxlPGQ8YvxhfF+8XbxbvFl8VzxVPFM8UbxQvFC8UXxTPFY8WnxfvGY8bfx2fH+8iXyTPJz8pnyvPLd8vzzGPMy80rzYPN184nznPOu87/zzvPc8+fz8fP59AD0B/QP9Bj0JfQ09Eb0WvRx9In0oPS29Mr02/Tq9Pb1AfUL9Rb1JPU09Uf1XvV39ZL1rfXH9eD1+PYN9iD2M/ZG9lv2c/aP9q720fb19xv3Qfdk94T3n/e298j31/fk9/D3/fgL+Bz4MPhF+Fv4cviH+Jv4rPi5+MX4zvjX+N/46Pjx+Pz5B/kR+Rr5Ivkm+Sj5J/kk+SH5Hvkf+ST5Lvk++VP5bfmJ+aX5v/nV+eX57vnv+en53fnM+bj5ovmN+Xr5aflb+VL5TPlK+U35VPlg+XH5h/mj+cT56foS+jv6ZfqN+rD6zvrm+vf7A/sJ+wz7DvsQ+xT7G/sn+zf7S/ti+3v7lfuv+8j74Pv3/A78Jfw9/Ff8cvyR/LH80vz0/Rb9Nv1U/W/9iP2g/bb9y/3i/fv+F/42/ln+f/6o/tH++v8h/0X/Zv+B/5f/qP+2/8H/yf/R/9n/4f/p//H/9//7//n/8f/g/8f/o/92/0H/Bf7F/oT+Rf4J/dX9qf2G/W39XP1S/U79Tv1P/VD9Uf1R/U/9Tf1L/Ur9S/1P/VX9X/1r/Xr9if2Y/af9tf3C/c391/3i/ez99/4E/hH+H/4t/jz+Sf5V/l/+aP5u/nP+d/57/n/+g/6J/o/+lv6d/qT+qv6v/rL+tP60/rT+s/6z/rP+tP61/rj+u/69/r/+v/6+/rv+tv6w/qn+ov6b/pT+jv6K/ob+gv5//nv+dv5x/mv+ZP5d/lb+UP5M/kr+Sv5M/lD+Vf5b/mL+aP5v/nb+ff6F/o/+m/6p/rn+zP7g/vf/Dv8k/zr/T/9h/3H/f/+L/5T/nP+i/6b/qf+q/6r/qP+j/53/lv+N/4P/ef9w/2j/YP9b/1b/Uv9P/0z/Sf9G/0P/QP8//0D/RP9L/1b/Zf94/4//qP/B/9v/9AALAB8AMQBBAE8AXgBtAH4AkgCpAMIA3gD6ARYBMAFHAVoBZwFvAXEBbwFqAWIBWgFSAU4BTQFQAVkBZgF4AY4BpwHDAeAB/QIZAjQCTAJhAnMCgQKNApYCnAKiAqcCrQK0Ar0CyQLZAuwDAwMdAzsDWwN9A6ADxAPqBA8ENQRZBH0EoATBBOAE+wUSBSUFMwU7BT4FOwU0BSgFGQUHBPQE4QTNBLsEqgScBI8EhQR9BHkEeAR6BEIEOAQ1BDkERQRYBHMEkgS2BNoE/gUgBT4FVwVqBXkFgwWKBY8FkgWWBZsFoQWqBbQFwAXNBdoF5wXzBf8GCQYUBh0GJwYxBjwGRwZTBl8GawZ3BoMGjQaXBp8GqAavBrcGwAbJBtIG3AbmBvEG+gcDBwsHEgcXBxsHHgchByQHKAcsBzEHNwc+B0YHTgdVB1wHYgdnB2oHbAdsB2oHZwdiB1wHVAdLB0EHNgcsByIHGQcSBw0HCwcLBw4HEgcYBx4HJQcqBy8HMwc1BzgHOgc9B0EHRwdPB1kHZAduB3cHfQd/B3wHdQdpB1gHRQcxBx0HCwb9BvQG8AbxBvYG/wcJBxMHHQclBysHLwcxBzEHLwctBysHKAcmByMHHwcaBxQHDAcEBvsG9AbuBuwG7Qb0BwAHEQcmBz4HVwdwB4YHmgeoB7IHuAe4B7YHsQesB6cHowehB6EHpAenB6sHrwexB7IHsAesB6UHmgeOB38HbwdeB00HPActByAHFQcMBwcHBgcHBwwHFAceBykHNAc/B0gHTwdTB1MHUAdKB0AHNAcnBxgHCgb8Bu4G4wbYBs8Gxga/BrgGsgatBqcGogadBpkGlgaUBpMGkwaTBpUGmAabBp8GogalBqgGqgasBqwGrAarBqoGqQaoBqcGqAapBqsGrgayBrcGvAbBBsYGywbQBtQG2QbdBuEG5QbnBugG5gbfBtMGwQanBoYGXQYtBfgFvwWFBUwFFgTnBMAEogSOBIQEggSIBJQEpAS1BMgE2QTqBPkFBQUQBRkFIQUmBSkFKgUnBSAFFQUGBPME3ATCBKYEiQRuBFMEOwQlBBMEAgP0A+YD2QPMA78DsQOjA5UDiAN7A3ADZwNfA1gDUwNNA0gDQQM5AzADJgMaAw4DAgL2AusC4ALXAs0CwwK3AqsCnAKKAnYCYAJJAjACGAIBAeoB1gHDAbIBogGRAYABbQFWAT0BHwD9ANgArwCEAFgAK//+/9P/qf+D/17/Pf8e/wH+5v7L/rD+lf56/lz+Pf4c/fr91/2z/Y/9a/1I/Sf9B/zo/Mv8rvyR/HT8Vvw2/BT78fvM+6X7f/tY+zL7Dfrp+sX6o/qA+l36OvoV+e/5x/me+XX5TPkj+P342Pi0+JL4cPhO+Cr4BPfa96z3efdD9wn2zPaQ9lT2G/Xm9bb1jPVo9Ur1MfUd9Q30//Ty9OX02fTL9L30rPSb9Ij0c/Re9Ej0MfQa9ATz7fPX88HzrPOX84LzbfNX80DzKfMQ8vby3PLB8qfyjfJ18l7ySvI38ibyFvIG8fbx5fHR8bvxo/GJ8W3xT/Ey8RTw+PDe8MTwrfCW8IDwavBT8DzwJfAO7/fv4+/R78LvuO+x767vru+v76/vrO+l75fvge9j7z3vD+7c7qbucO497g/t6u3O7b3tt+287crt3u327hDuJ+457kXuSO5B7jHuF+317c3toe107UftHez37Nfsvuyr7J7sluyS7JDskOyQ7I/si+yF7Hvsb+xg7E/sPOwn7BLr++vl683rtuuf64brbutV6zvrIOsG6urqz+qz6pjqfupk6kzqNeog6gzp+unq6dvpzem/6bPppuma6Y/pg+l46W7pZeld6VfpUulP6U3pS+lJ6UbpQuk76TLpJukZ6Qro++jt6OLo2ujW6Njo3+js6P3pEeko6UHpWuly6Ynpoem46dHp7eoO6jTqY+qZ6tfrHetp67jsB+xU7Jrs1u0E7SPtMO0q7RHs5uyr7GLsDeuy61Lq8+qY6kPp9+m26YDpV+k66SfpHukb6R7pI+kp6S/pMukz6THpLekm6R3pFOkK6QLo+uj16PDo7ujs6Ozo7Ojs6O3o7Ojs6Oro5+jj6N7o2OjS6Mrow+i66LLoquij6JzoleiO6IjogOh46G7oY+hV6EXoMuge6Ann8ufc58fntOei55Hng+d152jnWudM5zznKucW5wHm7ObX5sTmtOan5p7mm+ab5p/mpuat5rTmuea75rnms+ap5pvmiuZ55mjmWuZP5kjmR+ZK5lLmXeZq5njmheaP5pfmmuaa5pbmj+aH5n7mduZw5m3mbeZx5nnmg+aP5pzmqua15r/mxubL5s3mzebK5sfmxObB5r/mv+a/5sHmxebK5s/m1Oba5uDm5+bt5vPm+ucB5wnnEeca5yLnKucy5zrnQOdG50rnTudS51bnW+dg52fncOd654Xnkeee56vnt+fD583n1+fg5+jn8Of66AXoE+gj6DfoTehl6IDomui16M3o4+j16QTpD+kX6RzpIekl6SrpMek86UrpW+lv6Ybpnum36c/p5+n+6hPqKOo96lPqauqF6qPqxOro6xDrOutl65HrvOvk7AvsLuxO7GvshOya7K3svOzJ7NHs1uzX7NXs0ezM7MfsxOzG7M/s4ez87SLtUe2J7cfuCO5I7oXuu+7n7wnvIO8t7zHvMe8u7y3vMO8570vvZe+G767v2PAD8CzwUPBu8IXwlfCf8KTwp/Cq8K7wtfDA8NDw4/D68RLxKvFC8VfxavF58YbxkPGY8Z7xpPGp8a3xsPGy8bLxr/Go8Z7xkPGA8W3xWfFG8TTxJvEb8RfxGPEf8S3xQfFa8XjxmvG/8ebyDvI28l/yhvKs8tDy8/MT8zLzTvNp84LzmvOx88Xz2fPr8/v0CvQW9CH0KvQz9Dv0Q/RN9Fj0ZfR09Ib0mfSt9MH01PTm9PT1APUK9RD1FvUb9SD1J/Ux9T31TfVg9XX1jfWl9b311fXs9gP2GfYw9kf2X/Z59pX2s/bT9vP3FPc091P3cfeN96f3wPfY9+/4Bvgd+DP4Sfhd+HD4gfiP+Jv4pPir+LD4tvi8+MP4y/jV+OD46/j3+QH5CfkP+RL5FPkU+RX5GPke+Sj5N/lL+WL5ffmZ+bT5zfnh+fD5+Pn5+fX57Pnf+c/5v/mw+aL5lvmN+Yf5hPmE+Yf5jvma+an5vfnW+fT6FPo4+lz6gfqi+sD62frr+vj6//sC+wP7AvsD+wb7Dfsa+yv7Qftc+3n7mfu6+9z7/fwe/D/8YPyA/KL8w/zl/Qf9J/1F/WH9ef2O/Z/9rf26/cX90f3f/fH+B/4h/kD+Y/6K/rH+2f7//yL/Qf9b/3D/gP+M/5P/mP+a/5n/lv+Q/4f/ev9o/1D/Mf8N/uL+s/6A/kv+Fv3k/bb9jv1s/VP9Qf01/S/9LP0r/Sv9Kv0m/SH9Gf0R/Qj9APz6/Pj8+vz//Qn9Fv0l/TX9Rf1U/WH9bf12/X39hP2L/ZL9mv2l/bD9vf3L/dn95/3z/f7+Bv4N/hL+Ff4Z/hz+IP4k/in+MP42/j3+Q/5J/k7+Uv5W/ln+XP5f/mL+Zv5r/nD+df56/n/+gv6E/oX+hv6F/oT+g/6D/oP+hP6G/oj+if6L/ov+i/6J/ob+g/5//n3+e/57/n3+gP6G/oz+lP6b/qP+q/6y/rr+wv7K/tX+4f7w/wH/Ff8r/0L/Wv9x/4f/m/+t/7z/yP/S/9n/3v/i/+T/5P/i/9//2v/T/8r/wP+0/6f/mv+O/4P/ev9z/23/av9n/2b/Zf9k/2P/Y/9k/2X/af9v/3j/hf+V/6f/vP/R/+b/+gANABwAKQA0AD0ARQBOAFgAZAByAIQAlwCtAMIA1wDpAPgBBAELAQ4BDwENAQsBCgELARABGgEpATwBVAFvAY0BrAHLAekCBgIgAjgCTQJgAnECgQKPAp4CqwK5AscC1QLjAvIDAAMPAx4DLgM/A1IDaAN/A5oDuAPZA/0EJARMBHQEnATDBOcFBwUiBTgFSAVTBVkFWgVYBVEFSQU+BTIFJAUVBQQE8gTeBMcEsASXBH4EZwRTBBED9wPlA94D4QPvBAcEJwRMBHQEnATCBOME/QURBR0FIwUkBSIFHwUcBRwFHwUmBTIFQgVVBWoFgQWXBawFvwXQBd8F6wX2Bf8GCAYQBhkGIwYtBjgGRAZQBl0GaQZ0BoAGiwaVBp4GpwawBrkGwQbIBtAG1wbdBuMG6AbsBu8G8QbyBvIG8QbvBu0G6gboBucG5gbmBugG6wbvBvQG+Ab9BwEHAwcDBwEG/gb5BvMG7AbmBuAG3AbaBtoG3AbfBuQG6QbvBvQG+Ab7Bv0G/gb+Bv8G/wcABwAHAQcCBwEHAAb9BvgG8QbpBuAG1gbMBsMGvAa4BrUGtQa3BroGvQbBBsQGxwbIBskGyQbJBskGygbMBs4G0QbUBtcG2AbXBtUG0AbLBsQGvQa5BrYGuAa9BscG1gboBv0HEgcoBzwHTQdaB2MHaAdqB2gHZQdiB18HXQddB18HYwdpB28HdQd6B30HfQd7B3UHbAdgB1EHQActBxkHBgb0BuQG1wbOBskGyAbMBtUG4QbwBwIHEwckBzQHQAdJB00HTQdJB0EHNQcoBxkHCQb5BukG2gbLBr0GsAakBpgGjAaCBnoGcgZtBmoGaQZqBm0GcQZ1BngGegZ5BnQGbAZgBlEGQAYtBhkGBgX1BecF3QXWBdQF1QXZBd4F5QXrBfEF9gX5BfwF/gYABgMGCAYOBhcGIQYrBjUGPAY+BjsGLwYbBf0F1gWnBXIFOgUBBMsEmgRxBFEEPAQyBDEENwREBFQEZARzBH8EhgSIBIUEfgR0BGcEWARKBD0EMQQmBB0EFAQNBAUD/QP0A+oD4APVA8oDvgOyA6cDmgOOA4IDdQNoA1oDTAM/AzIDJQMaAw8DBgL+AvgC8wLuAukC5QLgAtwC1wLRAswCxwLBArsCtgKvAqgCoAKWAooCfgJvAmACTwI/Ai4CHwIQAgIB9gHpAd4B0QHCAbEBnAGEAWYBRAEdAPIAwwCRAF0AKf/1/8P/kv9k/zr/E/7v/s7+r/6T/nf+XP5C/ib+Cv3s/c79rv2O/W79Tv0v/RD88vzV/Lj8m/x9/F38Pfwa+/f70fur+4T7Xvs4+xP68PrO+q76jvpv+k/6L/oN+er5xvmh+Xz5WPk0+RP48vjU+LX4l/h4+FX4L/gF99X3ofdo9yz27fav9nL2OPYD9dT1qvWG9Wj1TvU39SH1DfT49OH0yvSx9Jf0fPRh9Eb0LPQU8/3z5vPS873zqfOU83/zaPNR8zfzHPMA8uPyxfKo8ovycPJX8kHyLvIe8hHyBvH98fbx7vHl8drxzfG78abxjPFw8VDxMPEO8O7w0PCz8JrwhPBw8F7wTPA68CfwE+/87+Lvx++r74/vdO9a70PvMO8g7xLvB+787vHu5O7T7r/upe6G7mPuPe4W7e/tyu2q7ZHtf+127Xbtfu2M7Z/tte3L7d7t7e307fPt6e3W7brtl+1u7UPtFuzq7MLsnuyA7GnsV+xM7EbsQ+xC7ELsQuxA7DvsM+wn7BjsBuvx69nrv+uk64nrbetR6zbrG+sA6ubqzeq16p3qhupx6lzqSeo46ijqGuoN6gLp9+nt6ePp2OnN6cHptOmn6Znpiul86W/pY+lZ6VHpS+lH6UXpROlC6UHpPuk56TLpKeke6RHpBOj36Ovo4ujc6Nro3Oji6Ozo++kM6SHpOOlS6W/pj+mz6dvqCOo66nHqrOrs6y/rcuu06/LsKuxZ7H7sluyh7J7sjexu7ETsEOvU65LrTOsF6r7qe+o86gPp0emm6YLpZulR6UPpOek16TPpMukz6TPpMukv6SrpIukZ6Q7pAej16Ono3+jW6M/oy+jJ6MrozejS6Nfo3ejj6Ofo6ujs6Oro5+jh6Nro0OjF6Lroruih6JXoiuh+6HLoZuhZ6EvoPOgs6BvoCOf25+Pn0efA57DnoueW54rnf+d052jnWudK5zjnI+cN5vbm3ubI5rXmpeaZ5pLmj+aR5pbmnOak5qrmr+ax5q/mqeah5pbmieZ95nPma+Zn5mfma+Zz5n7mi+aY5qTmr+a25rrmu+a35rHmquah5pjmkeaM5onmiuaN5pPmm+ak5q3mtea85sLmxebG5sbmxObB5r/mvea85rzmvebA5sTmyubP5tbm3Obh5ufm7Obx5vbm+ucA5wbnDOcT5xvnIucq5zHnOOc+50PnSOdM51DnVeda52DnZ+dx53zniOeV56PnsufB58/n3efq5/foA+gQ6B3oK+g66EnoWuhr6Hvoi+ia6Kfosei66MDoxujM6NTo3ujr6P7pFeky6VPpeOmg6cnp8eoY6jzqXup76pbqr+rH6uDq++sY6zjrXOuD663r1+wC7CvsUux27JbssuzL7OHs9O0G7RbtJe0y7T3tR+1O7VLtVO1U7VTtVO1Y7WDtbu2E7aPtye327inuXu6T7sXu8e8V7zHvQ+9O71LvU+9T71XvXO9p733vl++379rv/vAh8EHwW/Bu8Hzwg/CG8Ifwh/CI8I3wlvCj8LTwyPDe8PXxC/Ef8TDxP/FL8VbxX/Fp8XTxgPGN8ZrxpvGv8bXxtvGx8abxlfF/8WXxS/Ex8RrxCfEA8P/xB/EZ8TLxU/F58aPxz/H78ibyT/J28pryu/Lb8vjzFfMx80zzaPOE86DzvPPX8/H0CfQf9DP0RfRU9GH0bPR29H/0ifST9J/0rPS89M303/Ty9Qb1GPUo9Tf1QvVL9VL1VvVZ9Vz1X/Vj9Wn1cfV89Yn1mPWq9b310fXl9fr2D/Yk9jn2T/Zl9nv2kfao9sD21/bw9wn3I/c+91r3d/eV97P30ffu+Ar4JPg6+E34Xfhp+HH4d/h7+H/4hPiK+JL4nPip+Lf4xfjU+OD46vjy+Pf4+fj6+Pr4+/j++QT5Dvkc+S35QflX+W35gfmT+aL5rfm0+bj5uPm3+bX5svmw+a/5r/mw+bP5t/m8+cP5y/nW+eT59foJ+iH6O/pX+nP6j/qo+r76z/rc+uP65vrm+uX64/rk+uj68fr/+xT7LftN+3D7lvu+++f8D/w4/GD8h/yt/NP8+P0b/T39XP15/ZL9p/24/cX9zv3V/dv94f3o/fH9/v4Q/iX+P/5d/n3+n/7C/uP/Av8d/zb/Sf9Y/2L/Z/9l/17/UP87/x/+/P7S/qL+bf4z/fj9vP2D/U/9Ifz8/N/8zPzC/MD8xPzM/Nf84fzp/O787/zs/OX82/zQ/MX8vfy3/LX8uPy//Mr81/zm/PX9A/0P/Rn9Iv0o/S39Mf02/Tz9Q/1N/Vj9ZP1x/X39if2U/Z39pf2r/a/9s/22/bn9vf3C/cj9zv3V/dv94v3o/e398v32/fr9//4E/gn+EP4X/h/+KP4w/jj+P/5F/kv+T/5U/lf+W/5g/mX+a/5x/nf+ff6C/of+i/6O/pH+kv6U/pb+mv6e/qT+q/6z/r3+x/7Q/tr+4/7s/vX+/v8I/xP/IP8v/0D/U/9o/33/kv+n/7r/yv/Z/+T/7f/0//n//P/+//7//v/7//j/8//s/+P/2P/M/8D/s/+n/53/lf+P/4v/if+J/4v/jP+O/4//kP+R/5H/kv+U/5j/nv+n/7L/v//O/97/7f/7AAgAEwAbACIAJwAsADAANgA9AEYAUABdAGoAeQCHAJUAoQCuALkAxADRAN4A7gEBARcBMQFNAWwBjAGtAcwB6QIEAhsCLwJAAk8CXQJqAngCiQKbArACxwLhAvsDFQMvA0cDXANvA38DjgObA6gDtgPGA9oD8gQOBC4EUgR4BJ8ExQTpBQoFJgU8BUwFVwVdBV8FXgVaBVUFUAVLBUQFPQUzBScFFgUBBOYExwSkBH4EVwQyA/AD0QO6A64DrgO6A9ED8QQXBEAEagSRBLQEzwTiBO0E8QTuBOgE4ATZBNUE1QTaBOYE9gUMBSUFQAVbBXUFjQWhBbIFwAXLBdMF2wXhBekF8QX7BgcGFQYkBjQGRAZUBmMGcQZ9BogGkQaYBp8GpQaqBrAGtQa7BsEGxgbMBtAG0wbUBtQG0QbNBscGwQa6BrQGrwasBqoGrAavBrUGvAbEBswG0wbYBtwG3gbdBtoG1gbRBswGxwbDBsAGvwa/BsEGxAbHBssGzgbRBtMG0wbTBtIG0AbOBssGyAbEBsAGuwa2BrEGrAamBqEGnAaYBpUGkwaRBpEGkAaQBo8GjgaMBooGhgaDBoAGfQZ8BnwGfgaCBocGjQaTBpgGmwadBpwGmAaSBosGgwZ8BnYGdAZ1BnoGgwaRBqEGtAbHBtsG7Qb8BwkHEgcYBxoHGwcZBxcHFgcVBxUHFgcaBx8HJAcqBzAHNQc4BzgHNQcvByUHGAcIBvUG4AbLBrcGpgaYBo4GiwaMBpQGoga0BskG4Ab3BwwHHgcrBzMHNgczBysHIAcQBv8G7QbaBsgGtgamBpYGiAZ7Bm4GYgZYBk8GSAZCBkAGPwZBBkUGSQZNBlAGUAZMBkQGNwYlBg4F9AXYBbsFnwWGBXAFYAVVBU4FTAVOBVIFVwVdBWEFZAVlBWUFZQVlBWcFbAVzBX0FiQWXBaQFrwW2BbcFrwWfBYUFYwU5BQkE1wSkBHQESwQpBBAEAAP7A/0EBQQRBB8ELAQ1BDkEOAQxBCQEEwP/A+kD1APAA68DoQOWA48DigOHA4UDgwOBA34DeQNzA2wDYwNZA08DRAM5Ay4DIwMXAwwDAQL1AukC3gLSAsgCvgK1Aq0CpwKiAp4CmwKaApkCmAKYApcClgKTApACiwKEAnwCcwJoAl0CUAJEAjcCKwIgAhYCDQIEAfwB8wHqAeAB0wHDAa8BmAF8AVsBNgEMAN8ArgB7AEYAEf/b/6f/dP9D/xX+6v7D/p/+ff5e/kL+J/4N/fP92f2//aT9if1t/VH9Nf0Y/Pv83fy//KD8gPxf/Dz8GPvz+8z7pft/+1j7M/sP+u76zvqw+pT6ePpc+j/6IfoB+eD5vfmZ+Xb5U/kx+RH48vjV+Ln4nfiA+GD4PPgU9+f3tfd+90X3CfbN9pL2W/Yn9fn10PWs9Yz1b/VV9Tr1IPUD9Ob0xvSl9IP0YfRB9CL0BvPt89fzw/Ox86Dzj/N882jzUPM28xny+vLY8rbyk/Jy8lLyNvIe8gnx+fHt8eXx3/Ha8dfx0vHL8cLxtPGi8YzxcvFU8TPxEfDv8M7wrvCS8HjwYvBP8D7wL/Af8A7v++/m783vsO+R73DvT+8t7w3u8O7W7sHuru6f7pLuhu567mzuW+5G7i3uEO3v7c3tq+2L7W/tWO1J7UHtQu1L7Vrtbu2F7ZztsO2+7cbtxe267abtie1l7TvtDuzg7LPsiuxn7EnsMuwh7BfsEOwN7AzsCuwI7APr+uvv69/rzOu1653rgutm60rrLusS6vfq3OrC6qrqkup76mbqUupA6i/qIeoU6gnqAen56fLp7enm6d/p1+nN6cLptOmm6Zbphul26WjpWulP6UfpQOk86TnpOOk36TXpMuku6SjpIOkX6QzpAej26Ovo4ejZ6NPoz+jO6NDo1ejd6Oro+ukQ6SzpTul36ajp4Oof6mPqqurz6zrrfeu66+zsE+wt7DnsNuwm7Anr4uuz633rResL6tPqnepq6jzqE+nu6c3psuma6Ybpdeln6V3pVOlO6UrpRulE6UHpPuk56TPpKukg6RTpBuj36Ono2+jO6MXovui76LvovujF6M3o1+jh6Oro8uj46Pvo++j46PLo6uje6NHow+i06KTok+iD6HHoYOhO6DzoKugY6Abn9Ofk59Tnxue656/npued55Tniud/53LnY+dR5z3nJ+cQ5vnm4ubO5r3msOan5qPmouak5qnmrua05rjmu+a75rjms+at5qXmnuaY5pTmk+aV5pnmoOao5rHmu+bD5srmzubQ5s/mzObI5sLmvOa35rPmseaw5rHmtOa45rzmwObE5sfmyObI5sfmxObC5r/mvea85rzmvubC5sfmzubV5t3m5Obr5vHm9eb45vnm+eb55vjm+Ob45vnm/OcB5wbnDecW5x/nKOcx5znnQudJ51HnWOdf52fnb+d554Pnj+ec56nnuOfG59Tn4ufw5/3oCegU6CDoK+g16EDoSuhU6F3oZuhv6HbofuiH6JHoneit6MLo3Oj86SPpT+mA6bXp7Ook6lvqjuq96ufrDOsr60brXut064vrouu869jr9+wX7DnsXOx87Jvst+zP7OTs9u0G7RbtJu027UntXe1y7Yjtne2w7cHtz+3a7eHt5u3r7fDt9+4D7hPuKu5F7mXuiO6t7tHu8u8P7yfvO+9J71XvXu9o73Tvg++X77DvzO/r8AzwLPBJ8GLwdvCF8I7wkvCU8JXwlfCY8J7wqPC08MTw1fDm8PbxBfER8RvxI/Er8TLxO/FG8VXxZvF68Y/xo/G18cLxyfHI8b/xr/GY8XzxX/FD8SrxGfEQ8RLxHvE08VTxe/Go8dfyBvI08l/yh/Kp8sjy4/L88xPzKvNB81rzdPOQ863zzPPq9Af0I/Q99FT0afR69In0lvSi9K30uPTE9NH03/Tw9QH1FPUo9Tz1T/Vh9XH1f/WK9ZP1mvWe9aH1o/Wl9ab1qfWt9bP1uvXE9c/13PXr9fr2C/Yc9i32PvZQ9mD2cfaB9pL2o/a19sn23/b39xL3L/dP92/3kPex99D37PgE+Bn4Kfg1+D74Q/hI+Ez4UvhZ+GL4b/h9+I34nviu+Lz4yfjS+Nj42/jc+Nv42vjb+N344vjq+Pb5A/kT+ST5NvlH+Vf5Zflx+Xz5hfmN+ZX5nPmj+ar5sfm4+b/5x/nO+db53/nq+ff6BvoY+iz6QvpZ+nD6hvqZ+qn6tfq9+sH6wPq++rv6uPq5+r36x/rX+u37Cfsq+1D7efuk+8/7+vwk/E38dfyb/L/84/0F/Sb9RP1h/Xv9kf2k/bP9v/3I/c790/3X/dz94/3s/fj+Cf4c/jT+Tv5q/of+pP7A/tr+8P8A/wv/D/8L/v7+6P7I/qD+cP44/fz9vP17/Tv9APzK/J38evxh/FL8TPxP/Fj8Zvx2/IX8kvyc/KL8o/yg/Jv8k/yM/IX8gfx//IH8hvyO/Jj8o/yv/Ln8w/zL/NH81vza/N784/zo/O/8+P0C/Q39GP0k/S79OP1A/Ub9S/1P/VL9Vf1Y/Vz9Yf1n/W79df19/YT9iv2Q/ZT9mf2d/aH9pv2r/bL9u/3F/dD92/3n/fL9/f4H/hD+GP4f/iX+LP4y/jn+Qf5J/lL+W/5k/m3+dv59/oX+jP6T/pv+o/6r/rT+vv7J/tT+3/7q/vX+//8J/xP/HP8n/zL/Pv9M/1v/a/98/43/nv+u/7z/yf/U/93/5P/p/+3/8P/y//P/8//y//D/7P/m/9//1v/M/8H/tv+s/6P/nf+Z/5j/mf+c/6D/pf+p/63/r/+w/7D/r/+t/6z/rP+u/7P/uf/B/8v/1v/h/+z/9f/9AAQACAALAA0ADwARABMAFwAcACMALAA3AEQAUwBlAHkAkACqAMgA6AELATEBWAGAAaYBywHtAgoCIwI3AkYCUgJbAmMCbAJ2AoUCmAKwAs0C7gMTAzkDXwODA6UDwgPaA+0D/AQHBBAEGgQkBDEEQQRWBG4EiQSnBMUE4gT8BRIFJAUvBTYFNwU1BS8FKQUjBR4FGgUXBRYFFAUQBQoE/gTtBNUEtgSSBGoEPwQWA8gDqgOUA4cDhQOOA6EDvAPeBAMEKQRNBG0EhwSaBKYEqwSqBKUEnwSZBJQElASYBKIEsQTEBNsE8wUMBSUFOwVPBV8FbAV2BX4FhQWLBZIFmQWjBa8FvAXMBdwF7QX+Bg4GHQYqBjUGPgZFBksGUQZWBlsGYAZnBm4GdQZ9BoUGiwaRBpYGmAaZBpgGlQaSBo4GiwaIBocGhwaJBo0GkwaZBqAGpwatBrMGtga4BrgGtwa1BrIGrwasBqoGqAaoBqkGqwatBrAGswa2BrgGuwa8Br0Gvga+Br0Guwa5BrYGswavBqoGpQagBpsGlgaRBowGhwaCBn0GeAZyBmwGZgZfBlgGUgZMBkgGRgZGBkgGTQZUBlwGZgZvBnYGfAZ+Bn0GeAZwBmQGVwZIBjoGLQYkBh4GHQYhBikGNgZHBlkGbQaBBpMGowawBrkGvwbBBsAGvQa5BrQGsAatBqwGrAavBrQGuwbBBsgGzAbOBswGxga8Bq4GnAaIBnMGXwZOBkEGOQY4Bj4GSgZcBnIGjAalBr4G0wbjBu4G8gbvBucG2gbJBrYGowaPBn0GbAZdBlAGRAY6BjAGJgYdBhQGCwYEBf0F+AX1BfMF8wXzBfIF8AXsBeUF2gXKBbYFnwWGBWsFUAU3BSEFDgUABPcE8QTwBPIE9gT6BP8FBAUIBQsFDwUTBRcFHQUkBS0FNgU/BUYFSwVLBUUFOAUkBQoE6ATCBJkEbgRGBCAEAQPoA9cDzQPKA8wD0gPZA+AD5QPmA+MD2wPPA78DrQObA4kDeQNrA2EDWwNXA1YDVgNWA1YDVQNRA0wDRQM8AzEDJgMbAxEDBwL+AvYC7gLnAuAC2ALQAscCvAKyAqcCnAKSAokCggJ9AnoCeAJ4AnkCegJ6AnoCeAJzAm0CZQJbAk8CQwI3AiwCIQIYAhACCQIDAf0B9gHvAeUB2AHIAbQBnAF/AV8BOwEUAOoAvwCTAGUAOAAK/93/sP+E/1r/L/8H/t/+uf6V/nL+Uv4z/hb9+v3g/cf9rv2W/X79Zv1O/TX9G/0A/OX8yPyp/Ij8ZvxC/Bz79fvN+6T7fPtU+y77Cvrp+sr6rvqT+nr6YvpJ+i/6E/n1+db5tPmR+W75S/kp+Qj46fjM+LD4lPh3+Fj4N/gR9+j3uveJ91T3Hfbm9rH2ffZN9iH1+fXV9bX1lvV59V31P/Ug9QD03vS79Jf0dPRT9DT0F/P+8+fz0/PA863zm/OG83DzVvM68xvy+fLX8rPykfJw8lHyN/If8gzx/fHx8ejx4fHb8dbxz/HH8b3xr/Gf8YvxdPFb8UDxIvEF8OfwyfCt8JLwefBh8EvwNvAi8A7v+e/j78zvs++Z737vY+9H7y3vE+787ubu0+7B7rDuoO6P7nzuZ+5P7jPuFO3z7dDtru2M7W7tVO1B7TTtL+0x7TrtR+1Y7Wntee2F7Yzti+2D7XLtWe067Rbs7+zG7J7seuxZ7D3sJuwU7Afr/ev16+7r5+ve69Prxeu066Hri+tz61vrQusp6xHq+erj6szqt+qh6ozqd+ph6k3qOeom6hTqBOn36evp4ena6dPpzunI6cLpvOm06arpn+mT6Ybpeels6WDpVelM6UXpQOk86TrpOOk26TXpMukv6SrpJekf6RnpEukM6QbpAOj66PXo8Ojr6Ofo5Oji6OTo6uj26QjpIulG6XLpp+nk6ifqbOqz6vbrNOto65Drquu167HroOuB61nrKer26sDqjepd6jLqDenu6dbpwumz6afpnemV6YzphOl86XTpbOll6V/pWelU6U/pS+lF6T7pNuks6SDpE+kE6PXo5+jZ6M7ox+jC6MHoxOjK6NPo3ujq6PXpAOkI6Q7pEekQ6QzpBuj86O/o4ejQ6L7oq+iW6IHobOhX6ELoLegb6Ann+efs5+Hn2OfQ58rnxOe+57fnruej55bnhedy517nSOcy5x3nC+b85vDm6Obj5uPm5ebo5u3m8eb15vbm9ub05vHm7Obn5uPm4Obe5t/m4ebm5uvm8eb35vznAOcB5wHm/+b85vfm8ubu5uvm6Obo5urm7Obw5vTm9+b55vrm+eb15u/m6Obg5tfmz+bI5sPmwebB5sTmyubS5tvm5ubw5vnnAecH5wvnDOcM5wrnBucC5v7m++b55vnm++b/5wTnDOcU5x7nKOcz5z3nR+dR51rnY+dr53TnfOeF547nl+eh56rntOe958XnzufV59zn5Ofr5/Ln++gE6A7oGugn6DboRuhX6Gvogeia6LXo1ej46SDpTel/6bTp7eoo6mTqn+rX6wzrPOtm64rrqOvB69jr6+v+7BLsJ+w/7FnsdOyR7K7syuzk7PrtDe0d7SvtNu1C7U7tXe1v7YbtoO297d3t/e4c7jjuT+5i7m7ude547nfude507nTud+5/7ovum+6u7sTu3O7z7wvvIu84707vZO9775Tvr+/M7+vwDPAs8EzwafCC8Jfwp/Cy8LnwvfDA8MLwxfDK8NLw3PDp8PfxBfES8R7xJ/Et8THxNPE28TrxQPFL8VnxbPGC8Zrxs/HK8dzx6fHu8evx4PHP8bjxnvGE8W7xXfFU8VXxYPF08ZHxtfHe8gryN/Jh8oryrvLP8uvzBPMb8zHzR/Nd83TzjfOn88Pz3vP69BX0LvRG9Fr0bfR99Iz0mvSm9LP0wPTO9N307fT/9RH1JfU49Uz1X/Vx9YH1kPWd9af1sPW39bz1wPXD9cX1x/XJ9cv1z/XU9dr14vXr9fb2AvYP9h32K/Y59kj2VvZk9nP2gvaS9qT2uPbP9uj3A/cg9z/3Xvd895n3tPfL99/37vf7+AT4CvgQ+Bb4Hfgl+C/4PPhK+Fr4a/h7+Ir4l/ii+Kv4sfi1+Lf4uvi9+ML4yfjR+N346vj5+Qr5Gvkr+Tv5SflX+WL5bfl1+X35hPmL+ZD5lfma+Z/5pPmp+bD5uPnC+c/53vnw+gP6GPou+kP6Vvpn+nT6fPqA+oD6fPp3+nH6bfps+m/6ePqI+p76uvrc+wL7KvtV+3/7qfvS+/j8HfxA/GH8gfyg/L/83fz6/RX9MP1I/V79cf2B/Y79mf2i/ar9sv27/cX90v3h/fP+B/4d/jT+Sv5f/nL+f/6H/oj+gP5w/lf+Nf4L/dv9pP1q/S/89fy+/I38YvxA/Cf8FvwP/BD8Fvwh/C/8PfxK/FT8XPxg/GD8XvxZ/FT8T/xL/Er8SvxO/FP8W/xj/Gz8dPx7/IH8hfyI/Ir8jPyP/JP8mPyf/Kj8s/y+/Mn81Pze/Ob87Pzx/PP89fz2/Pb8+Pz7/QD9Bf0N/RX9Hf0m/S79Nf07/UH9Rf1K/U/9VP1b/WT9bv16/Yf9lf2j/bH9vv3K/dT93v3m/e399f38/gT+Df4X/iL+Lf45/kb+Uv5e/mn+dP5+/oj+kv6d/qf+sv69/sj+0/7d/uj+8v78/wX/Dv8Y/yL/LP83/0P/T/9b/2j/dP+A/4v/lf+d/6X/q/+w/7T/uP+7/73/v/+//77/u/+3/7H/qf+g/5f/jv+G/3//ev94/3n/fP+C/4n/kP+Y/57/o/+n/6j/qP+n/6X/o/+i/6P/pf+p/6//tv+//8j/0P/X/97/4v/l/+f/5//n/+b/5v/n/+r/8P/5AAUAFQAqAEIAXwCAAKUAzgD4ASQBUAF8AaQBygHrAgcCHgIwAj4CSQJTAl0CagJ5Ao0CpwLGAusDEwM+A2oDlAO8A98D/AQUBCUEMQQ5BD4EQgRGBEwEVQRgBHAEgQSUBKcEuQTIBNQE2gTcBNoE1ATMBMMEugSzBK4ErAStBK8EsgS0BLMErgSjBJEEeQRbBDcEEQPsA54DggNsA10DVQNWA18DbwOFA58DugPVA+4EAwQUBB8EJwQqBCoEKQQnBCYEKAQsBDQEQAROBF8EcQSEBJgEqQS6BMgE1ATeBOcE7gT1BPwFBAUNBRcFIgUuBTwFSQVXBWUFcQV9BYcFkQWaBaEFqQWwBbgFwAXJBdIF3QXnBfIF/AYGBg8GFwYdBiIGJgYpBiwGLgYwBjIGNQY4Bj0GQQZHBk0GUgZXBlwGYAZkBmcGaQZqBmwGbQZvBnEGdAZ3BnoGfgaCBoUGigaNBpEGlQaYBpsGngagBqIGpAakBqQGowahBp0GmQaTBosGgwZ5Bm8GYwZXBkoGPAYuBiEGEwYHBfsF8gXrBeYF5QXnBe0F9gYCBg8GHgYsBjkGQwZJBksGSAY/BjIGIQYMBfYF4AXMBbsFrgWnBaYFqwW3BccF2wXxBgkGHwYzBkQGUAZWBlgGVAZNBkMGOAYsBiIGGwYWBhUGGAYdBiQGKwYxBjUGNgYyBioGHgYOBf0F6wXaBc4FxgXEBcoF1gXpBgAGGwY3BlEGaQZ8BogGjgaOBocGewZsBlsGSQY3BigGGgYPBgUF/QX1Be0F5QXaBc4FwQWzBaQFlgWJBX4FdAVtBWcFYgVdBVgFUQVIBTwFLQUbBQgE8wTeBMoEuASqBJ8EmASVBJcEnQSlBLEEvgTMBNoE6QT2BQMFDgUYBR4FIgUhBRwFEQUBBOwE0QSxBI0EZwRABBkD9QPVA7oDpAOWA4wDiAOHA4kDiwOMA4sDhwN/A3MDZQNUA0MDMwMkAxgDEAMLAwoDCwMPAxMDFwMZAxkDFwMRAwkC/wLzAugC3ALTAssCxQLBAr4CvAK6ArcCtAKuAqcCngKUAokCfwJ1Am0CZwJkAmICYwJkAmUCZgJlAmICXAJUAkgCOwItAh8CEwIIAgAB+wH4AfgB+QH6AfkB9AHqAdoBwgGjAXwBTgEaAOIAqABtADP//P/I/5n/bv9I/yf/Cf7t/tP+uv6i/on+b/5V/jr+Hv4D/ej9zf2z/Zr9gv1q/VT9Pf0n/RH8+vzh/Mj8rPyP/G/8Tfwp/AP73Puz+4r7Yfs6+xT68PrP+rD6lPp6+mH6Sfox+hn5/vnj+cX5pvmG+WX5RPkj+QT45vjI+Kz4j/hy+FT4M/gQ9+n3vveR92H3L/b89sv2mvZs9kH2GfXz9dH1sPWR9XL1U/Uz9RP08vTR9K/0jvRv9FD0NPQZ8//z5/PQ87jzn/OG82rzTvMv8xDy8PLQ8rHylPJ58mDySvI28iXyFvIJ8f3x8vHn8d3x0/HI8b7xs/Gn8ZvxjvGA8XDxXvFK8TTxG/D/8OLww/Ck8ITwZPBF8CjwDe/0793vye+376fvmO+K73zvb+9h71LvQe8u7xrvAu7o7svuq+6I7mLuO+4S7entwe2a7XftWO0/7SrtHO0U7RDtEe0V7RrtIO0k7STtIe0a7Q3s/Ozo7NDstuyb7IHsaexS7D7sLOwb7A3r/uvw6+Hr0Ou966jrket561/rRust6xbrAOrs6trqyeq66qvqnOqN6n3qa+pY6kPqLuoY6gPp7+nc6czpvumy6anpoemb6ZbpkemM6Yfpgel66XPpa+lk6V3pV+lS6U3pSulI6UbpRelF6UXpROlE6UXpRelG6UfpSOlJ6UrpS+lK6UjpQ+k+6TbpLukm6R/pG+kc6SPpMulK6Wrpk+nD6fjqMepo6p3qyuru6wfrEusQ6wHq5urB6pXqZuo26gnp4Om+6aPpkOmE6X7pfel/6YPphumJ6Ynph+mD6X3pdelt6WTpXOlT6UzpROk96TXpLOkj6RnpDukD6Pfo7Ojj6Nzo1+jV6Nbo2ujg6Ono8+j96QjpEekZ6R7pIuki6R/pGekQ6QTo9ujl6NLovuin6JDoeehi6EvoN+gk6BXoCOf+5/fn8ufw5+7n7Ofp5+Xn3ufU58fnt+em55Pngedw52DnVOdL50bnRedH50znUedY513nYedk52TnYudf51rnVedR507nTedN50/nU+dY51znYOdj52TnY+df51rnVOdO50jnQ+dA5z7nP+dC50XnSedN50/nTudL50TnOuct5x7nDub95u7m4ObV5s7my+bM5tDm1+bg5urm8+b85wTnCucO5w/nD+cO5wznCucJ5wjnCecM5w/nFecb5yPnKucy5zrnQedI50/nVedb52HnZ+du53XnfOeD54vnkueZ55/npeep56znruex57Pnt+e858Tnz+fd5+/oBugg6D/oYuiI6LHo3ekL6Tzpbumi6dfqDupF6nvqserl6xbrROtu65PrtOvP6+fr++wO7CDsM+xH7F7seOyW7Lbs2ez77R3tPe1a7XPtiO2Z7abtsu297crt2e3s7gPuHu497l/ugu6j7sHu2+7v7vzvAu8B7vvu8e7l7tnuzu7G7sLuw+7J7tTu4+737w7vKO9F72Tvhe+o78zv8vAX8DzwYPCB8J/wuPDM8Nvw5fDq8O3w7fDu8O/w8vD48QLxDvEc8SvxOvFI8VPxW/Ff8WDxYPFe8V3xXvFi8WvxefGL8aDxuPHP8ebx+PIF8gzyDPIG8fvx7PHc8czxv/G38bXxuvHH8drx9PIT8jXyWfJ+8qLyxfLm8wTzIfM881bzcPOJ86HzuvPR8+nz/vQT9Cb0N/RG9FT0YfRt9Hn0hfSS9KD0r/TA9NH05PT29Qn1HPUu9T71TvVd9Wr1dvWB9Yz1lfWe9ab1rfW09br1wPXG9cv10PXW9dv14vXp9fL1/PYG9hL2H/Ys9jr2R/ZW9mX2dPaE9pT2pva59s724/b69xH3KPc/91X3avd894z3mvem97H3uvfD98z31ffg9+z3+vgI+Bj4J/g2+ET4Ufhd+Gf4b/h4+H/4iPiR+Jz4qPi2+MX41vjn+Pn5Cvka+Sj5Nfk/+Uj5TvlT+Vb5WPlZ+Vn5WflZ+Vr5XPlf+WT5a/l1+YL5kfmj+bb5yvne+fH6AfoO+hb6GvoZ+hT6DPoD+fr58/nv+fH5+foH+h36Ofpa+oD6qfrT+v37JvtN+3H7k/uy+9D77PwI/CT8Qfxe/Hz8m/y5/Nf89P0P/Sj9QP1W/Wr9ff2P/aH9s/3F/df96P35/gf+E/4a/hv+Ff4I/fL90/2s/X39Sf0P/NT8mfxg/Cz8APvb+8H7sfuq+637t/vH+9v78PwF/Bj8Jvww/Db8Nvwz/Cz8JPwc/BX8EfwO/A/8E/wZ/CH8Kfwy/Dj8PvxB/EP8RPxD/EP8Q/xE/Ej8TvxX/GH8bPx4/IP8jfyW/Jz8n/yh/KH8oPyf/J78n/yi/Kb8rPy0/L38x/zQ/Nr84vzq/PH89/z9/QT9DP0V/R/9Kv03/UX9VP1i/XD9ff2I/ZP9nP2k/a39tf29/cf90v3e/er9+P4G/hX+Iv4v/jz+R/5S/lz+Zf5u/nf+gP6K/pP+nf6n/rH+uv7D/sz+1P7d/uT+7P70/vz/BP8N/xX/Hv8m/y3/NP87/0H/Rv9K/07/Uf9U/1b/WP9Y/1j/Vv9T/0//Sv9E/z7/Of80/zH/L/8w/zP/Of9A/0j/Uf9b/2P/av9w/3T/dv92/3b/dP9z/3P/c/91/3j/ff+E/4v/kv+a/6H/p/+s/7D/sv+0/7b/t/+6/73/w//M/9j/5//7ABIALgBOAHEAlgC+AOcBDwE3AVwBfwGfAbsB0wHpAfwCDwIiAjYCTAJmAoQCpgLMAvQDHgNJA3IDmAO5A9YD7AP8BAcEDQQPBBAEDwQPBBEEFgQdBCcEMgQ+BEoEVARbBF8EYARcBFYETQREBDoEMwQtBCwELQQyBDgEQARHBEwETQRIBD4ELQQWA/sD3AO9A4EDaANSA0ADMgMqAycDKgMyAzwDSgNZA2cDdQOCA40DlgOcA6IDpgOpA60DsgO3A74DxgPQA9sD5wP0BAIEDwQcBCkENQRABEsEVQRfBGkEcgR8BIUEjgSXBKEEqgSzBL0ExgTQBNoE5ATvBPkFBAUQBRsFJwUzBT8FSwVWBWAFagV0BX0FhQWMBZMFmgWhBagFrwW1BbwFwwXKBdEF2AXeBeQF6gXvBfQF+QX+BgMGCAYNBhQGGgYhBikGMQY5BkEGSAZPBlQGWQZdBmEGYwZlBmcGaQZqBmwGbQZuBm8GbwZuBmwGaAZiBlkGTwZCBjMGIgYPBfsF5QXPBbkFpAWRBX8FcQVmBWAFXQVgBWYFcQWABZEFpAW2BcgF2AXjBeoF7AXoBd4FzwW8BaUFjQV2BWAFTwVCBTsFOwVCBVAFYgV5BZIFqwXDBdcF5wXwBfQF8gXqBd0FzQW9BawFnQWRBYkFhQWFBYcFjAWSBZcFmgWaBZYFjwWFBXkFbAVhBVgFVAVVBVwFagV9BZYFsQXOBeoGBAYZBikGMgY2BjMGLAYiBhUGCAX7Be8F5QXcBdUFzgXHBb8FtAWnBZYFgwVuBVgFQQUrBRcFBQT3BOsE4wTcBNgE0wTOBMcEvgSzBKUElQSDBHEEYARSBEYEPwQ9BEEESgRZBG0EhASfBLoE1gTwBQcFGgUnBS4FLQUkBRQE/ATdBLgEjgRiBDQEBwPdA7YDlQN7A2YDWANQA0wDSwNMA0wDSwNGAz4DMgMjAxAC/ALoAtUCxAK3Aq0CqAKnAqgCrAKxArYCugK7ArkCtAKtAqQCmgKQAoYCfwJ6AncCdwJ5AnsCfgKAAoECfwJ7AnQCbAJiAlgCTgJGAkECPgI+Aj8CQgJGAkgCSQJGAkACNgIpAhoCCQH5AeoB3wHYAdUB2AHfAegB8gH6Af4B/AHwAdkBtwGJAVABDQDDAHQAJP/V/4r/Rv8J/tb+rf6M/nP+YP5T/kj+Pv41/in+HP4M/fr95f3P/bf9nv2F/W39Vf0+/Sj9Evz8/Of80fy7/KP8ivxv/FL8M/wS+/D7zPum+4D7Wvs0+w766vrH+qb6h/pp+kz6MPoV+fv53/nE+aj5jPlv+VL5NvkZ+P344fjG+Kv4j/hy+FT4NPgR9+z3xPea9273QPcR9uL2tPaG9lr2L/YG9d/1ufWU9XH1TvUr9Qr06fTI9Kn0i/Rt9FH0NfQa8//z4/PI86vzjvNv81DzMfMS8vPy1vK78qLyi/J28mTyU/JD8jTyJfIW8gfx9/Ho8dnxzPHA8bbxr/Gq8abxpPGh8Z3xl/GN8X7xavFQ8THxDfDm8LzwkvBq8ETwIvAF7+7v3e/R78nvxO/B77/vu++076rvnO+I72/vUe8v7wnu3+6y7oTuVe4m7fftyu2f7XbtUe0v7RLs+Ozj7NLsxuy87LXssOyt7Krsp+yk7J/smuyT7Irsgex37GzsYOxT7EbsOOwo7BfsA+vu69brvOug64LrZOtF6yjrDOry6tzqyeq56qzqoeqX6o7qhep76m/qYOpP6jvqJeoO6fbp3+nJ6bTpoumT6Yfpful46XTpcelv6W7pbelr6WnpZ+lj6WDpXelZ6VfpVelU6VTpVelX6VvpYOlm6W3pdel+6YfpkOmX6Z3poemi6aHpnOmU6Yrpfuly6WjpYOlc6V/paOl46ZDpr+nS6fnqIOpG6mbqgOqQ6pXqj+p+6mLqP+oW6enpvemT6W7pUOk76S3pKOkq6TLpPulM6VrpZ+lx6Xjpe+l66Xbpb+lm6VzpUOlF6TrpL+kl6RvpEekI6P/o9+jx6Ovo5+jk6OTo5ujq6PDo+OkB6QvpFOkd6SXpLOkx6TPpNOky6S3pJukd6RHpA+jy6N/oyuiz6JzohOht6FboQugw6CHoFugP6AvoCegK6AvoDOgM6AroBuf/5/Xn6efb587nwee2567nqeeo56vnsee558PnzefW597n4+fl5+Xn4ufe59jn0ufN58rnyOfH58nny+fO59Hn0+fT59LnzufJ58Pnvee357Hnrues563nruex57Tntee157Hnqeee547neudk50znM+cc5wjm9ubp5uDm3Obc5t/m5ebr5vLm+eb+5wHnA+cD5wPnAucC5wLnBecJ5w/nF+cg5yrnNec+50fnTudT51bnV+dX51fnVudW51jnW+dh52jncud954nnleeg56vntee858PnyOfO59Pn2+fk5/LoBOgc6DnoXOiE6LHo4ukX6U7phum/6ffqLupk6pfqx+r16yDrR+tq64rrp+u/69Xr6Ov47AjsGOwp7DzsU+xt7I3ssOzY7QPtMO1d7Ynts+3Z7fruFu4u7kHuUe5f7mzue+6L7p/utu7Q7u3vCu8n70LvWe9s73nvgO+A73vvcu9l71bvR+857y7vJ+8l7yjvMe8/71PvbO+K763v0u/78CTwTvB48J7wwvDh8PrxDPEZ8R/xIfEe8RjxEvEN8QrxC/EQ8RrxKPE48UvxXfFv8X3xh/GN8Y7xi/GG8YDxevF28XbxevGE8ZPxpvG88dPx6/IA8hLyIPIo8izyK/Im8h/yGPIR8gzyC/IP8hjyJfI48lDybPKK8qzyz/Ly8xbzOvNc837znfO689Xz7fQB9BP0IfQt9Db0PvRE9En0UPRX9GD0a/R59In0m/Su9ML01vTq9Pz1DfUc9Sn1NPU99Ub1TvVW9V71Z/Vw9Xv1hvWS9Z71qfW19b/1yfXS9dv14/Xr9fT1/PYG9hD2G/Yn9jP2QPZO9lv2afZ39oT2kvaf9qz2uvbH9tX24vbw9v73C/cZ9yb3NPdB90/3Xfds93r3ifeZ96n3uPfH99X34/fw9/v4BvgQ+Bn4I/gt+Dj4RPhS+GL4c/iF+Jn4rPi/+NL44/jy+P75CfkR+Rb5Gfkb+Rv5GvkY+Rb5FPkT+RL5E/kW+Rv5Ivks+Tj5RvlW+Wf5ePmI+Zb5ofmo+az5qvmk+Zv5kPmD+Xj5b/lq+Wr5cvmA+ZX5sfnS+fj6IPpI+nH6l/q7+tz6+vsU+y37RPtb+3T7jfuq+8n76vwO/DT8XPyE/Kz80/z4/Rz9P/1e/Xz9l/2v/cT91f3h/ef95/3f/c79tP2Q/WP9Lvzw/K78aPwh+937nvtn+zn7GPsD+vv7APsQ+yj7SPtr+4/7sfvQ++j7+vwF/Aj8Bvv/+/X76fve+9X7z/vM+8370fvX+9/75vvu+/T7+Pv6+/v7+vv5+/f79/v5+/z8AvwK/BT8H/wq/DT8PvxG/Ev8T/xR/FH8UfxR/FH8U/xW/Fv8Yfxp/HL8e/yF/I78l/yf/Kj8sPy4/MH8yvzU/OD87Pz5/Qb9FP0g/S39OP1C/Uv9VP1c/WX9bv14/YP9kP2d/av9uf3H/dX94v3u/fn+Av4K/hL+Gf4g/if+L/43/kD+Sf5T/lz+Zf5u/nb+ff6E/on+jv6T/pf+nP6g/qT+qf6t/rH+tf65/rz+v/7B/sL+xP7F/sX+xv7H/sf+yP7I/sj+yf7K/sr+zP7O/tH+1f7a/uH+6P7x/vr/A/8M/xX/HP8h/yX/J/8o/yf/Jv8k/yL/If8h/yL/Jf8q/zH/Of9C/0z/Vv9g/2n/cv96/4L/iv+R/5n/ov+s/7j/xv/X/+sAAgAcADgAVwB3AJgAugDbAPsBGwE4AVUBcAGLAaUBwAHdAfsCGwI+AmQCiwKzAtsDAgMnA0kDZgN+A5EDngOnA6sDrAOsA6sDqwOsA68DtAO8A8UD0APZA+ID6QPtA+0D6wPlA94D1QPNA8UDwAO+A8ADxQPNA9cD4gPtA/YD/AP9A/kD7wPgA8wDtQObA1gDQwMvAx0DDgMCAvoC9QL0AvYC+gMBAwkDEgMcAyYDMAM6A0QDTQNWA14DZgNtA3UDfAODA4oDkgOaA6IDrAO2A8IDzgPbA+gD9gQEBBEEHQQpBDMEPQRFBEwEUwRZBF8EZgRuBHcEgQSNBJoEqAS2BMUE1ATjBPAE/QUIBREFGgUhBScFLQUyBTgFPgVFBU0FVQVfBWkFcwV9BYYFjwWYBZ8FpQWrBbAFtAW5Bb8FxQXNBdUF3wXqBfYGAgYOBhkGIwYsBjMGOAY8Bj0GPgY9BjsGOQY4BjYGNgY2BjYGNwY3BjYGNAYwBikGIAYTBgMF7wXZBcAFpgWLBXAFVQU9BSgFFgUIBP8E+wT8BQIFCwUZBSkFOwVNBV4FbgV6BYIFhgWGBYAFdQVnBVYFQwUwBR8FEAUFBP8E/wUEBQ8FHwUzBUkFYAV1BYgFlwWhBaUFpAWdBZEFggVxBV8FTgU/BTQFLAUoBScFKAUrBS8FMgUzBTIFLwUqBSMFGwUVBREFDwUSBRsFKAU6BVAFaQWEBZ4FtgXMBd0F6QXwBfIF8AXsBeUF3AXUBcsFxAW9BbYFrwWnBZ0FkQWCBW8FWwVDBSsFEgT5BOIEzgS9BK4EpASbBJUEkASLBIQEfQRzBGcEWARIBDgEKAQbBBAECgQJBA4EGQQqBEEEXQR7BJwEvATaBPQFCAUWBRsFGAULBPUE2ASzBIgEWwQrA/wDzwOmA4IDZQNOAz0DMwMtAyoDKQMoAyUDIAMYAwwC/ALqAtYCwQKsApoCigJ9AnUCcAJuAm4CcAJyAnMCcgJuAmkCYQJYAk4CRAI8AjYCMgIxAjMCNwI8AkICRwJKAkoCSAJDAjwCMwIpAh8CFwIRAg4CDgIRAhUCGwIfAiMCIgIeAhYCCQH5AecB1AHBAbMBqAGkAaYBrQG6AckB2AHmAe0B7AHfAcYBnwFrASkA3QCKADH/2P+B/zD+5v6o/nT+S/4s/hf+Cv4C/f79+v33/fH96f3e/dD9vv2q/ZX9fv1m/U/9N/0g/Qr88/zd/Mf8sPyZ/IH8aPxO/DP8F/v6+9z7vPuc+3r7WPs0+xD67PrI+qP6f/pc+jr6Gfn4+dr5vPmg+YX5a/lS+Tn5IfkK+PL42vjC+Kj4jvhy+FX4NvgV9/L3zfen93/3V/ct9wL21vaq9n72UfYl9fj1zPWh9Xb1TfUl9P/03PS69Jv0fvRj9En0L/QW8/zz4fPF86fziPNn80bzJfMF8ubyyfKw8pnyhfJz8mPyVfJG8jjyKPIY8gbx9PHi8dHxwvG18avxpfGi8aLxo/Gl8abxpPGe8ZLxgPFm8UbxIPD28MnwnPBw8EjwJfAI7/Pv5O/b79fv1u/X79fv1e/P78Tvs++c74DvXu837w7u4e607oXuV+4o7fvtzu2j7XntUe0q7Qbs5OzG7Krsk+yA7HHsZuxf7FzsXOxe7GHsZexp7Gzsbexs7GjsYexY7EvsO+wo7BHr+evd68DroeuB62DrQOsh6wTq6erQ6rzqquqc6pDqh+p/6njqcOpo6l3qUOpA6i7qGeoD6evp0+m96afplemF6XnpcOlq6WfpZulm6Wjpaelr6Wvpa+lp6WfpZOlh6V/pXeld6V/pY+lp6XLpfOmJ6Zfppum06cLpzenW6dzp3+nd6djp0OnF6bnprOmh6ZnplemW6Z3pqum86dTp7+oN6irqROpa6mnqb+ps6l/qSOoq6gTp2umu6YLpWek16RnpBOj46PPo9+kB6Q/pIek06UbpV+ll6XDpdul56Xjpc+ls6WLpV+lK6T3pL+ki6RXpCOj96PTo7ejo6Obo5+jr6PHo+ukF6RHpHukq6TXpP+lH6U3pUOlR6VDpTOlH6T/pNukr6R/pEekB6O/o3OjH6LHom+iF6G/oXOhL6D3oM+gs6CjoJ+go6CroLOgt6C3oK+gm6CDoGOgP6AfoAOf75/nn+uf/6AjoE+gf6C3oOuhF6E7oVOhX6FboU+hO6EjoQeg66DXoMegv6C7oL+gv6DDoMOgw6C7oK+go6CToIege6B3oHegf6CLoJugo6CroKegk6BvoDOf55+Lnx+ep54vnbedR5znnJOcV5wrnBOcC5wPnBucJ5wznDecN5wvnCOcE5wDm/Ob75vvm/+cF5w3nGOck5zHnPOdG507nUudU51PnUOdN50nnRudG50nnUedc52zngOeW56/nyefj5/zoE+go6DroS+hb6GroeuiM6KHouujX6PjpH+lK6Xjpqenb6g7qQOpw6p/qyury6xfrOetY63Trjuul67vrzuvh6/PsBOwV7CfsOuxQ7GjshOyk7Mjs8O0c7Urte+2s7dzuCe407lrue+6Y7q/uw+7T7uHu7+797wzvHe8x70bvXe91747vpO+578rv1+/g7+Tv4+/f79jvzu/E77rvse+r76nvq++z78Dv0+/s8ArwLfBT8Hvwo/DL8PDxEfEt8ULxUPFX8VfxUvFJ8T/xNPEq8SXxI/En8THxP/FR8Wbxe/GO8Z7xqvGx8bLxrvGm8ZvxkPGF8X7xe/F98YbxlPGn8b/x2fHz8gzyI/I18kPyS/JO8kzySPJB8jryNfIy8jPyOfJF8lfybvKL8q3y0/L78yXzT/N3857zwfPf8/n0DfQd9Cf0LfQv9C/0LfQr9Cr0K/Qv9Df0QvRQ9GL0d/SM9KP0ufTN9OD07/T99Qf1D/UW9Rv1IPUm9S31NfVA9Uz1WvVp9Xn1iPWY9af1tfXB9cz11vXf9ef17/X49gH2CvYU9iD2K/Y39kP2T/Zb9mX2b/Z49oH2ifaQ9pj2oPap9rP2vvbL9tn26Pb59wz3H/cy90b3Wfds9333jfeb96j3s/e898X3zffV99335/fy9//4Dvgf+DL4R/hc+HH4hvia+Kz4vPjJ+NT43Pji+Ob46Pjo+Of45vjk+OP44vjh+OL45Pjn+Oz48/j7+Qb5Efke+Sv5OPlE+U75VPlY+Vf5U/lM+UH5Nfkp+R75FfkR+RL5Gfkn+Tv5VPlz+ZX5uPnc+f76Hvo6+lL6Z/p5+oj6l/qm+rf6y/rj+wD7IvtJ+3T7o/vV/Af8Ovxs/Jz8yfzy/Rf9N/1S/Wf9df19/X39df1k/Ur9J/z7/Mb8i/xJ/AT7vvt5+zj6/vrN+qf6jvqC+oP6kPqo+sj67vsX+z/7ZfuG+6H7tPvA+8T7wvu7+7H7pfuZ+4/7iPuE+4P7hfuK+5H7mPuf+6X7qvuu+6/7sPuw+6/7sPux+7T7uPu++8b7zvvX++D76Pvw+/b7/PwA/AT8B/wK/A78EvwX/B38I/wq/DL8OvxC/Ev8U/xb/GP8bPx2/ID8i/yW/KL8r/y8/Mn81fzg/Ov89fz+/Qf9D/0X/SD9Kf0z/T79Sv1W/WP9b/17/Yb9kP2Y/Z/9pf2r/bD9tf27/cL9yf3R/dr95P3t/fb9//4H/g3+E/4W/hn+G/4c/h3+Hv4e/iD+If4i/iT+Jv4n/ij+KP4o/ij+J/4n/if+KP4q/iz+MP41/jv+Qf5J/lH+Wf5i/mv+df5//on+k/6d/qf+sf66/sL+yf7P/tT+1v7X/tf+1v7U/tL+0P7P/tD+0/7Y/uD+6v72/wT/FP8k/zT/RP9T/2H/bf95/4P/jf+X/6H/rP+5/8j/2f/tAAQAHQA4AFQAcgCRAK8AzgDsAQoBKAFGAWUBhAGlAccB6gIPAjQCWgJ/AqMCxQLjAvwDEgMiAy8DNwM7Az0DPgM/A0ADQwNHA04DVwNhA2wDdwOBA4kDjgOQA5ADjAOHA4ADeANxA2wDaQNpA20DcwN8A4cDkwOeA6cDrgOxA7ADqgOfA5EDgANsAu0C3gLQAsQCuQKxAqsCqAKmAqcCqgKwArYCvwLJAtQC4ALtAvoDBwMUAyADKwM1Az4DRgNMA1IDVwNcA2EDaANwA3kDhAORA58DrgO9A80D3APqA/cEAQQKBBEEFwQcBCAEJAQqBDAEOQRDBE8EXQRtBH0EjgSfBLAEvwTNBNkE4wTsBPME+gUABQYFDQUUBRwFJQUvBToFRQVQBVoFZAVtBXUFewWABYUFiQWNBZIFmAWfBagFsgW+BcsF2QXmBfQGAAYLBhQGGgYdBh8GHwYdBhoGFwYUBhIGEAYQBhEGEwYUBhUGFQYSBg0GBAX3BeYF0gW6BaAFgwVnBUoFLwUXBQIE8gTmBN8E3QTgBOYE8AT8BQkFFwUkBTAFOQVABUMFQwU/BTkFMAUkBRgFCwT/BPQE6wTlBOME5QTqBPME/wUNBR0FLQU8BUkFVAVbBV0FXAVXBU8FQwU3BSkFHAUQBQYE/wT6BPgE+AT6BPwE/gT/BP8E/gT8BPkE9QTxBO8E7wTxBPcFAQUNBR0FLwVCBVYFaQV6BYkFlQWeBaQFpgWmBaQFoQWcBZcFkQWLBYUFfQV1BWoFXgVQBT8FLQUZBQUE8ATbBMgEtgSmBJkEjQSEBHwEdQRuBGYEXgRVBEsEQAQ0BCkEHwQWBBAEDQQOBBMEHQQqBDwETwRkBHkEjgSgBK4EtwS6BLcErQScBIUEaARGBCED+gPTA60DiQNpA00DNgMkAxYDDAMGAwAC/AL3AvAC5wLdAs8CwAKwAp8CjgJ/AnICaAJgAlsCWAJXAlYCVQJUAlACSwJDAjoCLwIjAhgCDgIGAgEB/wIAAgMCBwINAhICFgIYAhcCEwINAgUB+wHxAekB4gHeAd0B3wHkAekB8AH1AfcB9wHxAegB2gHIAbUBogGQAYEBeAF0AXcBfwGMAZsBqgG2Ab0BuwGuAZUBbgE7AP0AtABmABP/wP9w/yX+4v6p/nr+Vf45/iT+F/4N/gb+AP34/fD95P3W/cb9s/2e/Yn9cv1c/UX9Lv0X/QD86fzR/Lj8n/yE/Gn8Tvwy/BX7+fvc+7/7ofuD+2P7Q/sh+v762vq0+o76Z/pA+hr59vnT+bP5lfl6+WH5S/k3+ST5EvkB+O742/jG+K/4lvh7+F/4Qfgi+AH34Pe+95v3ePdU9y/3Cfbh9rj2jPZf9jD2APXQ9aD1cfVE9Rn08fTN9K30j/R19Fz0RfQu9Bbz/PPh88PzovOA813zOfMW8vTy1PK38p3yhvJy8mHyUPJB8jLyIvIR8gDx7fHb8cnxuPGp8Z3xk/GM8Yfxg/GA8XvxdPFp8VnxRPEq8Qvw6PDC8JvwdfBR8DHwFvAC7/Lv6O/i79/v3e/b79bvzu/C77Dvme99713vOe8U7u3uxe6e7nfuUe4s7gft4e287ZXtbu1H7SDs+uzV7LTslux+7GrsXexU7FLsU+xX7F7sZexs7HHscuxw7GrsX+xQ7D3sJ+wN6/Hr1Ou265jreetb6z7rIusH6u7q1urB6q7qneqO6oHqdepq6mDqVupM6kDqM+ok6hPqAent6djpw+mv6Zzpi+l96XLpaull6WPpY+ll6Wjpa+lu6XHpculy6XHpb+lt6WzpbOlt6XLpeOmC6Y7pnemt6b3pzund6erp9On66fvp+enz6evp4OnV6crpwum+6b/pxenR6eLp+OoR6i3qSOpi6nfqh+qO6o7qg+pw6lXqM+oL6eDptemL6WTpQukn6RPpB+kC6QTpDOkY6SjpOelK6Vvpa+l46YPpi+mQ6ZLpkemO6Yfpful06WfpWOlJ6TnpKekb6Q/pBukA6P7o/+kF6Q/pG+kp6TnpSelX6WPpbel06Xfpd+l06W7pZ+ld6VPpSOk96THpJOkX6Qno+ujp6Njoxui06KPokuiD6Hboa+hk6F7oXOhb6FvoW+hc6FvoWehW6FHoTOhG6EHoPug96D7oQuhK6FToYOhu6HzoiuiV6J/opeio6Kjopuih6JvoleiO6InohOiB6H/ofuh+6H7of+h/6H/of+iA6IHog+iG6IrokOiW6J3oo+io6KroqOih6JXog+ht6FHoMugQ5+3nzOet55Hneudo51vnUudN50vnSudK50nnRudB5zvnM+cr5yLnGucU5xHnEOcS5xfnHucm5y/nN+c+50PnRudH50bnRedE50XnSedR517nceeJ56fnyefv6BjoQehq6JLot+jY6PfpEukq6UDpVulr6YLpmem06dHp8OoR6jPqV+p66pzqverc6vnrFOss60TrWutv64Xrm+uy68rr4+v87BfsMexN7GjshOyh7L7s3ez97R/tQ+1p7ZDtue3j7gzuNO5b7n7unu667tLu5+747wfvFO8g7yzvOu9J71vvbu+E75vvs+/L7+Lv9/AK8BnwJPAq8C3wLPAn8CHwGfAS8AvwCPAJ8A7wGfAq8EDwXPB98KHwx/Dt8RHxMvFP8Wbxd/GB8YXxhPF/8XjxcfFq8WfxZ/Fr8XPxgPGP8aDxsPG/8cvx0vHU8dHxyfG98a/xoPGS8YjxgvGB8Yfxk/Gk8brx0/Ht8gbyHfIw8j7yR/JK8kjyQvI68jHyKfIk8iTyKfI18kjyYfKC8qfy0fL98yrzVvN/86XzxfPf8/P0APQG9Af0BPP98/Tz6vPi89zz2fPb8+Hz7PP79A70JPQ79FP0avSB9JX0pvS19MH0y/TT9Nr04fTp9PH0+/UG9RP1IvUy9UL1U/Vj9XP1gfWO9Zr1pfWu9bf1wPXI9dL13PXm9fL1/vYL9hj2JfYx9j32R/ZS9lv2ZPZs9nX2fvaI9pP2oPav9r/20fbk9vj3Dfci9zb3SPda92n3dveB94v3k/ea96H3qPew97n3xffT9+P39vgL+CH4OPhP+GX4eviM+J34qvi1+L34w/jG+Mf4yPjH+Mb4xPjD+ML4wfjB+ML4xPjH+Mz40vjZ+OL46/j2+QH5C/kV+R35Ivkl+ST5Ifka+RH5B/j8+PL46vjm+Ob46/j2+Qb5Gvky+Uz5ZvmB+Zn5rvm/+cv51Pna+d754fnl+ez59/oI+h76PPpg+ov6uvrt+yL7WPuM+7777PwV/Dj8Vfxr/Hv8hPyG/IL8d/xm/E78MPwN++T7t/uG+1T7Ivrx+sP6m/p6+mL6U/pP+lT6Y/p5+pf6uPrc+v/7Ifs++1b7aPtz+3j7ePtz+2v7YftW+037RvtB+0D7QftF+0v7Uvta+2L7aPtu+3L7dft3+3j7eft5+3r7e/t9+4H7hfuJ+4/7lfub+6H7p/uu+7T7u/vB+8j7zvvV+9z74/vp+/D79/v+/AX8DPwU/B38Jvwx/Dz8SPxV/GL8b/x8/In8lfyg/Kv8tPy9/MX8zfzV/N385fzu/Pf9Af0K/RP9G/0j/Sr9L/00/Tj9O/0//UL9R/1M/VL9Wf1h/Wr9cv17/YL9iP2O/ZH9k/2U/ZP9kv2R/Y/9jv2O/Y79j/2Q/ZL9k/2V/Zb9l/2X/Zf9mP2Y/Zn9m/2e/aP9qf2w/bn9w/3N/dj95P3w/fv+B/4T/h/+LP45/kb+VP5i/m/+fP6J/pT+nv6m/qz+sf60/rb+uf67/r/+xf7N/tj+5f71/wf/Gv8u/0P/Vf9n/3X/gf+K/5D/lP+X/5n/nP+h/6n/tP/D/9b/7QAIACYARgBoAIoArQDPAPEBEQEwAU8BbAGKAagBxgHlAgMCIQI/AlsCdAKMAqACsAK9AsYCzALQAtMC1ALWAtkC3QLjAuoC8wL9AwcDEQMaAyEDJgMoAygDJgMiAx4DGQMVAxMDEgMTAxcDHAMiAyoDMAM3AzsDPQM8AzcDMAMmAxoDDAL9Ak4CRQI9AjgCNAIzAjMCNAI4AjwCQQJIAlACWAJiAm0CeQKHApQCowKxAr8CzALYAuIC6wLyAvgC/AMAAwQDCQMOAxUDHgMpAzUDRANTA2MDcwOCA5ADmwOlA6wDsQO1A7cDuAO6A70DwQPIA9ED3QPrA/sEDgQiBDcESwRfBHIEgwSTBKEErgS5BMMEzATWBN8E6ATyBPwFBgUQBRoFIwUrBTIFOAU9BUIFRgVKBU8FVAVbBWQFbgV6BYgFlgWlBbQFwgXPBdoF4gXpBe0F7wXwBfAF7wXvBe4F7wXxBfMF9gX4BfkF+QX1Be4F4wXUBcAFqQWOBXEFUwU1BRkE/wTqBNoEzwTKBMoE0ATZBOUE8wUCBRAFHAUmBSwFLwUvBSsFJQUcBREFBQT5BO4E5ATbBNQE0ATOBM4E0ATUBNoE4QToBPAE+AT/BQUFCgUNBQ4FDQUKBQUFAAT5BPEE6gTjBN0E2ATUBNEEzwTPBM4EzgTOBM4EzQTMBMoEyATGBMQEwwTEBMYEygTQBNgE4QTsBPgFBAUQBRwFJwUwBTgFPwVDBUYFSAVHBUUFQgU+BTgFMAUnBR0FEgUFBPcE6ATYBMkEuQSqBJsEjQSABHQEaAReBFUETQRGBD8EOQQ0BDEELgQtBC0ELgQxBDYEPARCBEoEUQRYBF0EYgRkBGMEYARZBE8EQgQxBB0EBgPtA9MDtwObA34DYwNJAzEDGwMHAvUC5gLZAs0CwwK5ArACpgKbAo8CgwJ2AmgCWwJOAkICOQIxAisCKAInAicCJwIoAigCJwIkAh4CFgIMAgEB9QHoAd0B0wHLAccBxAHFAccBywHPAdIB1QHVAdMBzwHIAcEBuQGxAasBpgGlAaYBqgGvAbYBvAHBAcQBxAG/AbcBqwGdAY0BfQFvAWQBXQFbAV8BZgFwAXwBhwGPAZEBiwF8AWIBPQEOANUAlgBRAAv/xf+B/0P/C/7b/rP+kv54/mL+Uf5C/jT+Jv4W/gX98v3d/cb9r/2Y/YH9av1U/T79KP0T/Pz85fzN/LP8l/x6/Fz8PPwb+/v72fu4+5f7dvtU+zL7D/rr+sX6n/p4+lD6KPoB+dv5uPmY+Xz5Y/lO+T35L/kk+Rr5EPkH+Pv47vjd+Mr4tPib+H/4YvhD+CT4BPfk98T3pfeE92T3Qfcd9vf2zvai9nT2RPYS9eD1rvV+9VD1JvT/9Nz0vfSg9Ib0bvRV9Dz0IfQE8+XzwvOd83bzT/Mn8wHy3PK78pzygfJp8lTyQvIx8iHyEvIC8fHx3/HN8bvxqPGW8YTxcvFi8VLxQ/E08SPxEfD98Ofw0PC28Jvwf/Bk8EvwNfAi8BPwCPAB7/3v+u/57/bv8u/q797vzO+275vvfO9Z7zXvEe7t7sruqu6L7m/uU+447h3uAO3h7b/tm+107UztJOz87NbsteyY7ILscexn7GPsY+xn7Gzscux27HfsdOxs7GDsTuw37B7sAevi68PrpOuG62nrTes06xvrBOrv6trqxeqy6p/qjOp66mnqWupK6jzqL+oi6hXqCOn76e3p3unO6b7premd6Y7pgOlz6WnpYule6VzpXelf6WPpaOlt6XLpdul56XzpfumA6YPph+mM6ZPpnemo6bXpxOnT6eLp7+n66gLqBuoH6gTp/un26ezp5Ond6drp2+ni6e/qAeoZ6jTqUupw6ozqpOq26sHqw+q86qzqk+pz6k3qJOn56c/pqOmF6WnpUulD6TrpN+k66UHpSulW6WLpb+l76YbpkOmY6aDppums6bDpsumy6bDprOmk6Zrpjul/6W/pX+lP6UHpNeku6SrpLOky6TzpSelZ6WrpeumJ6ZXpnumi6aPpn+mY6Y7pg+l26WnpXOlR6UbpPOkz6SrpIOkX6QzpAej16Ono3ejQ6MXouuiy6Kropeig6J3omuiX6JTokeiN6Ijog+h/6Hvoeeh56Hvof+iH6JDom+io6LTowOjL6NXo2+jf6OHo4eje6Nvo1+jS6M7oy+jJ6MjoyOjI6MrozOjO6NDo0+jX6Nzo4ujp6PHo+ukD6QzpE+kZ6RvpGekR6QXo8ujb6L7on+h96FroOegZ5/3n5ufT58Xnu+e157LnsOev563nqeek553nlOeK54Dndedr52PnXedZ51fnWOda513nYOdj52bnaeds52/nc+d654Pnkeek57zn2uf96CXoUuiB6LHo4ekP6TvpZOmH6afpwunZ6e3p/uoP6h/qL+pA6lLqZep56o7qo+q46szq3+rx6wPrFOsm6zjrTOti63vrl+u269fr++wh7Ejsb+yW7Lvs3+0C7SPtQu1g7X3tmu237dXt8+4R7jDuT+5t7orupe6+7tTu5+747wbvE+8e7yrvNu9D71HvYu9274vvou+679Pv6vAA8BPwI/Av8DbwOfA48DTwLfAl8B3wFvAT8BTwGvAm8DjwUPBu8JHwtvDe8QbxLfFR8XLxjvGl8bjxxfHP8dbx2/Hf8ePx6PHt8fTx+/IC8gjyDPIO8gvyBfH78e3x3fHK8bfxpvGX8YzxhvGG8Yzxl/Gn8brxz/Hl8fnyCvIX8h/yIvIg8hryEvIJ8gDx+vH38fryBPIU8izySfJt8pXyv/Lq8xXzPfNh83/zl/On87HztPOx86rznvOQ84Hzc/No81/zWvNa82DzavN484vzoPO489Hz6vQD9Bv0MPRE9Fb0Z/R19IL0j/Sb9Kj0tfTC9ND03vTt9Pz1CvUZ9Sf1NPVA9Uz1V/Vi9W31efWF9ZH1n/Wu9b31zfXd9e71//YP9h72LfY79kj2VfZh9m32efaG9pP2ovax9sL20/bk9vb3CPcZ9yn3OPdF91D3Wvdi92r3cfd494D3ifeU96H3sPfB99X36/gB+Bn4MPhG+Fv4bvh++Iv4lvid+KL4pfim+Kb4pfij+KH4oPie+J74nvif+KD4o/im+Kv4svi5+ML4zfjY+OP47/j5+QL5CfkN+Q75C/kF+P348vjm+Nn4zvjF+L74vPi++MT4zvjc+Ov4+/kK+Rj5I/kr+S/5L/ks+Sj5I/kf+R35IPkn+TX5Svlm+Yf5rvnZ+gb6M/pg+or6sPrR+uz7AfsQ+xn7HPsb+xX7C/r/+u/63frJ+rT6nfqG+m76WPpC+i/6H/oU+g76DvoU+iD6MvpJ+mX6g/qi+sH63/r5+w/7IPss+zP7Nfsz+y77J/sf+xj7EvsO+w37DvsS+xj7IPso+zH7OvtB+0j7TftQ+1L7UvtR+1D7TvtM+0r7SftJ+0r7TPtQ+1T7Wftf+2b7bft0+3z7g/uK+5H7mPue+6X7q/uy+7n7wfvK+9P73vvp+/b8A/wQ/B78K/w4/ET8T/xa/GP8bPx0/Hz8g/yK/JH8mPyf/Kb8rfyz/Ln8vvzC/MX8yPzK/Mz8zvzR/NT82Pzc/OH85/zt/PT8+fz+/QL9Bf0G/Qb9Bf0E/QL9APz+/P78/vz//QH9BP0H/Qv9D/0T/Rb9Gf0b/R79IP0j/Sb9Kv0v/Tb9Pf1G/U/9Wf1k/W79ef2E/Y/9m/2o/bb9xv3Y/ez+Av4a/jT+Tv5o/oH+mf6v/sL+0v7g/uz+9/8A/wn/FP8g/y3/Pv9Q/2T/ef+O/6H/sv/A/8n/zv/O/8r/w/+5/6//pv+g/57/ov+r/7z/0//wABIAOABhAIoAswDaAP8BIQE/AVoBcwGJAZ4BsQHFAdgB6wH+AhECIwI0AkQCUQJdAmYCbAJwAnMCdQJ2AncCeAJ7An4CgwKIAo4ClAKaAqACpAKoAqoCrAKtAq0CrQKuAq8CsAKyArQCtwK5ArkCuQK3ArMCrAKkApoCjgKBAnMCZgJaAcYBwQG+Ab4BvwHDAccBzQHTAdoB4QHnAe4B9gH+AgYCEAIaAiYCMgI/AkwCWQJlAnACeQKBAogCjQKSApYCmgKeAqQCqwK0Ar8CzALaAukC+QMIAxYDIgMsAzMDOAM6AzsDOgM4AzcDOAM6A0ADSANVA2UDeAOOA6cDwAPbA/UEDgQlBDsETgRfBG4EegSFBI8EmASgBKgEsAS4BL8ExgTNBNQE2gTgBOYE6wTxBPcE/gUHBREFHAUpBTcFRgVWBWUFdQWDBZEFnAWmBa0FswW4BbsFvgXBBcQFyAXLBc8F0gXUBdQF0gXMBcIFswWgBYkFbQVPBS8FDgTvBNMEuwSoBJwElgSXBJ4EqgS6BM0E4QT1BQcFFQUgBSYFKAUlBR8FFQUJBPwE7wTjBNcEzQTGBMAEvAS6BLoEugS7BLwEvgS/BMAEwQTCBMMEwwTEBMQExATEBMMEwgTABL0EugS2BLEErASnBKIEnASXBJMEjwSMBIkEhwSFBIQEgwSCBIEEgQSBBIEEggSEBIcEigSPBJUEnASlBK4EuATDBM4E2ATiBOoE8QT1BPgE+AT2BPEE6gThBNcEywS+BLAEoQSTBIUEdwRpBFsETgRBBDUEKQQeBBUEDQQGBAMEAQQDBAgEEQQcBCoEOgRMBF0EbgR9BIgEkASSBI8EhgR2BGIESAQqBAgD5QPAA5wDeQNXAzkDHQMFAvAC3gLPAsICtgKsAqICmAKOAoMCdgJpAloCSwI7AisCGgILAf0B8QHmAd8B2QHWAdUB1gHYAdoB3AHcAdwB2QHUAc0BwwG5Aa0BoQGVAYsBgwF8AXgBdwF3AXkBfAF/AYEBggGBAX8BewF3AXEBbAFoAWUBZAFmAWoBcAF3AX8BhgGMAZABkgGQAYwBhQF8AXMBagFjAV4BXAFeAWMBawF0AX0BgwGGAYMBeAFlAUkBJAD2AMIAiQBMAA//0v+Z/2T/NP8L/ub+yP6t/pb+gP5s/lb+QP4p/hD99f3a/b79o/2I/W/9V/1B/S39Gf0F/PH82/zE/Kv8j/xx/FH8LvwJ++P7u/uT+2v7QfsY+u76xPqa+m/6RPoa+fH5yvml+YP5ZflM+Tf5J/kc+RX5EvkR+RH5EvkR+Q75CPj9+O/43PjG+Kz4j/hw+FD4MPgP9+73zfet94v3afdF9x/29/bM9qD2cPZA9g/13vWu9YH1VfUt9Qj05vTH9Kn0jfRw9FP0NfQU8/Hzy/Oj83rzUfMn8v/y2fK18pXyefJg8kryNvIl8hTyBfH18eTx0vG/8arxlPF98WXxTPEy8Rjw/fDj8MjwrfCS8HjwYPBJ8DXwI/AW8AzwB/AF8AfwDPAT8BnwH/Ah8B/wGPAL7/jv3u+/75vvde9M7yXu/+7b7rvun+6G7nDuW+5H7jHuGe3+7d/tvO2V7WztQe0X7O7syeyp7I/se+xu7GfsZexn7Grsbuxv7G7saOxd7E7sOewg7APr5evF66Xrhuto603rM+sb6wXq8Orb6sfqsuqe6ojqdOpf6kvqOOom6hbqCOn76e/p5Ona6dDpxem66a/poumW6Ynpfely6WjpYOlb6VjpWOla6V7pZOlq6XLpeemB6YnpkemY6aHpqemz6b7pyunW6ePp7+n76gXqDeoS6hTqE+oP6gnqAun66fTp8eny6fjqBOoW6i3qSepo6onqqOrF6tzq7Or06vLq5urR6rPqj+pm6jrqDunl6cDpoOmH6Xbpa+ln6Wjpbel16X/piOmR6Znpn+mk6afpqumt6a/ps+m26brpvenA6cHpwOm96bbpremh6ZTphel36WrpYelb6VnpXell6XHpgemT6abpt+nH6dPp2und6drp0+nI6bvpq+mb6Yvpfelw6WbpXelX6VLpTulK6UbpQek66TPpKukg6RbpC+kA6Pbo7ejl6N3o1ujQ6MroxejA6Lvotuiz6LDoruiu6LHotei76MPozOjX6OHo7Oj26P/pBukL6Q/pEOkR6RDpDukM6QvpCukJ6QnpCukL6Q3pD+kS6RXpGOkc6SHpJuks6TLpOek/6UXpSulM6UvpR+k/6TLpIekM6PPo2Oi86KDohOhr6FboROg36C7oKego6CnoK+gv6DHoM+gy6DDoK+gl6B3oFOgL6APn++f05+/n6+fp5+jn6Ofp5+vn7ufy5/joAegM6BvoLuhF6GHoguim6M7o9+kj6U3pd+me6cHp4On76hHqI+ow6jvqQ+pL6lHqWeph6mrqdeqC6o/qnuqt6r3qzerd6u7rAOsU6yrrQutd63vrnevD6+vsFuxD7HHsn+zL7PftIO1G7Wrtiu2p7cXt3+357hHuKe5B7lnuce6J7p/ute7J7tzu7O777wjvFO8f7ynvNO8/70zvWu9q73vvju+i77bvye/b7+vv+fAD8AnwDPAM8AjwA+/97/fv8+/x7/Pv+vAG8BjwMfBO8HHwmPDC8O/xHPFJ8XTxnvHE8efyBvIi8jryT/Jg8m7yefKA8oXyhfKC8nvyb/Jg8k3yNvId8gLx5/HN8bbxofGS8YfxgvGE8YrxlfGj8bPxxPHU8eHx6/Hx8fPx8fHs8eXx3PHU8c/xzfHP8dfx5fH48hLyMPJS8nbymvK+8uDy/fMW8ynzNvM98z/zO/My8ybzGfMK8vvy7vLj8tvy1/LY8t3y5vLz8wTzGfMv80nzY/N+85nztPPO8+fz//QV9Cr0PvRP9GD0cPR+9Iz0mfSm9LL0vvTK9Nb04fTu9Pv1CPUW9Sb1NvVH9Vr1bfWB9Zb1q/XA9dX16vX+9hH2I/Y09kT2UvZg9m72evaH9pP2oPat9rr2x/bV9uL27/b89wj3FPce9yn3Mvc890X3TvdY92T3cPd+9473n/ey98b32/fx+Ab4Gvgt+D/4Tvhb+GX4bfhz+Hf4evh7+Hv4e/h6+Hr4efh5+Hn4evh7+H34gfiG+Iz4lPie+Kr4uPjG+Nb45fj0+QH5DPkT+Rf5FvkQ+Qb49/jm+NL4vvip+Jb4hfh4+G/4afhn+Gn4bPhy+Hf4fPh/+IH4gfh++Hr4dfhw+G34bPhu+HX4gPiR+Kb4v/jb+Pn5Gfk4+VX5b/mH+Zr5qfmz+br5vPm8+bn5tfmv+an5ovmb+ZT5jfmH+YL5fvl8+Xv5fvmD+Yz5mfmr+cD52vn2+hb6N/pY+nn6l/qz+sv63vrt+vb6+/r8+vr69vrx+uv65/rk+uP65frp+u/69/sA+wn7Evsb+yL7J/sr+yz7LPsq+yf7I/se+xr7FvsU+xL7EvsT+xX7GPsd+yL7J/st+zP7Ofs/+0X7SvtQ+1f7Xvtl+277d/uB+4z7mPul+7L7v/vL+9j74/vu+/j8AfwJ/BD8F/wd/CP8Kfwv/DX8O/xA/Eb8TPxR/FX8Wfxc/F/8Yfxj/GX8Z/xq/Gz8b/xz/Hb8evx9/H/8gvyD/IP8g/yC/ID8fvx9/Hz8fPx+/ID8g/yI/I38k/yZ/J/8pPyp/K38svy2/Lr8v/zE/Mv80/zc/Of88vz//Qz9Gf0m/TP9QP1N/Vr9aP14/Yr9n/24/dT98/4V/jr+Yf6I/q7+0v70/xL/LP9D/1X/Zf9y/3//i/+Y/6b/tv/I/9v/7gAAABAAHQAmACkAJgAdAA///v/q/9X/wv+z/6n/p/+t/7v/0//yABgAQgBwAJ4AywD2ARwBPQFYAW4BfwGMAZcBnwGnAa8BtwHCAc0B2QHmAfQCAAIMAhUCHQIiAiUCJQIlAiMCIQIeAhwCGwIbAhwCHwIiAiYCKwIwAjYCOwJAAkUCSgJOAlICVQJXAlgCWAJWAlECSwJDAjgCLAIfAhACAQHyAeUB2AHOAXQBcQFwAXIBdQF6AYABhgGNAZQBmwGhAacBrgG0AbsBwwHMAdYB4AHrAfcCAwIOAhkCIwItAjQCOwJAAkUCSgJPAlUCXAJlAm8CewKIApYCpQKzAsECzgLYAuAC5QLnAugC5wLlAuMC4gLiAuYC7QL4AwcDGgMxA0oDZgODA6ADvQPYA/EEBwQaBCoEOARDBEwEUwRaBF8EZQRqBHAEdgR8BIMEigSRBJgEoASnBLAEuQTDBM4E2gToBPYFBQUVBSUFNQVEBVEFXgVpBXIFegWBBYYFiwWPBZQFmAWcBZ8FogWkBaQFoQWaBZAFgQVuBVYFPAUeBP4E3wTBBKYEjgR9BHIEbQRvBHcEhASVBKkEvgTTBOYE9gUCBQoFDQULBQYE/gT0BOgE3QTSBMcEvwS3BLIErQSqBKcEpASiBJ8EnASZBJYElASSBJAEkASQBJIElASXBJkEmwSdBJwEmwSXBJEEigSCBHgEbgRkBFsEUgRMBEcEQwRCBEIEQgREBEYESARKBEsETARNBE0ETgRPBFIEVgRbBGMEbAR3BIMEkQSeBKoEtgS/BMYEygTLBMkExAS8BLIEpQSYBIkEegRqBFsESwQ8BC0EHwQQBAMD9gPpA98D1gPRA84D0APVA+AD7gQBBBcELwRJBGIEeASMBJoEogSiBJsEiwR0BFYEMgQJA94DsQOFA1sDNAMRAvMC2gLGArYCqgKhApkCkwKMAoQCewJwAmICUwJCAi8CHAIIAfYB5AHVAccBvQG1AbABrAGrAasBrAGtAa0BrAGqAaUBnwGXAYwBgQF2AWoBXwFVAU0BRwFDAUEBQAFBAUMBRQFHAUgBSAFGAUMBPwE7ATcBNAExATEBMgE1ATsBQgFKAVIBWQFfAWQBZgFmAWQBYAFaAVUBUAFNAUwBTQFRAVcBXgFmAWwBcAFvAWkBWwFHASoBBgDbAKsAdwBAAAn/1P+h/3H/Rv8g/v7+4P7F/qz+lP58/mP+SP4s/g/98P3R/bL9k/12/Vv9Qv0r/Rb9Avzu/Nv8x/yx/Jj8ffxf/D38Gfvx+8b7mftr+zv7CvrY+qf6dfpF+hX55/m7+ZL5bPlL+S35FfkC+PT47Pjo+On47Pjy+Pn5APkF+Qj5B/kB+Pj46vjX+MD4pviJ+Gr4Sfgn+AT34fe995n3dPdN9yb2/PbS9qb2ePZL9hz17/XC9Zf1bvVH9SL0//Td9Lz0nPR79Fr0N/QT8+7zxvOe83bzTfMm8wDy3PK78p3ygvJp8lPyQPIt8hzyCvH48eXx0fG78aPxivFv8VPxNvEY8Pnw2fC68JvwffBh8EbwL/Ab8AvwAO/67/jv/PAD8A7wGvAm8DHwOfA98DvwMfAh8Arv7O/J76LveO9N7yTu/u7a7rvuoe6K7nbuZO5S7j7uKO4P7fHtzu2o7X7tU+0n7Pzs1eyy7JXsfuxu7GTsX+xe7F/sYexi7GHsXOxT7EXsM+wc7APr5uvI66nri+tu61HrN+sd6wXq7urX6sDqqeqS6nzqZupQ6jzqKeoX6gjp++nw6ebp3enW6c7pxum+6bTpqumf6ZTpiOl96XPpa+lk6WDpXulf6WLpZ+lu6XbpgOmK6ZXpoOms6bnpxunT6eHp7un86gnqFeof6ibqLOou6i3qKuom6iDqG+oX6hXqGOog6i3qQOpY6nXqlOq16tXq8usK6xvrI+si6xfrAurk6sDql+pr6j/qFunw6dHpuOmn6ZzpmOma6Z/pp+mw6bnpwOnF6cjpyenJ6cfpxunE6cTpxOnG6cnpzOnP6dDp0OnN6cjpwOm16anpnemQ6YfpgOl96YDph+mT6aTpuOnN6ePp9+oJ6hbqHuog6h3qFOoH6ffp5OnR6b/prumg6ZTpjOmG6YLpf+l+6Xzpeel16W/paOle6VTpSOk86S/pI+kY6Q3pBOj86PTo7ujp6OXo4ejf6N3o3eje6OHo5ejr6PLo+ukD6QzpFekd6SXpLOkx6TXpN+k56TnpOek46TfpNuk16TXpNek26TbpN+k46TnpOuk76TzpPOk96T7pPuk+6T3pO+k46TPpK+ki6RbpCOj46Ofo1ejE6LPopOiY6I/oiuiI6IvokOiY6KLorei56MTozejV6Nro3ejd6Nzo2ejV6NDoyujF6MHovui76LnouOi46LrovOjA6MbozujY6OXo9ekI6R7pN+lS6W/pjemr6cjp4+n86hLqJOoz6j7qRepK6k7qUOpS6lTqWOpd6mTqbup66ojql+qo6rrqzuri6vfrDesk6z3rV+t065Prteva7AHsKuxU7IDsrOzZ7QTtLu1W7XztoO3B7eDt/O4X7jDuSO5e7nPuh+6a7qzuve7N7tvu6O717wDvC+8V7x/vKu8170HvTu9c72rvee+I75fvpe+y773vx+/O79Pv1u/X79fv1u/V79Xv1+/b7+Lv7O/78A/wJ/BD8GTwifCx8NzxCfE38WXxlPHB8e3yF/I+8mHygPKa8q/yvvLH8sryx/K98q3ymPJ+8mHyQfIg8f/x3/HD8avxl/GJ8YHxfvGB8YjxkvGe8avxt/HC8crx0PHS8dHxzvHK8cTxv/G78brxvfHD8c3x3PHv8gXyHfI38lHyavKB8pbyqPK18r/yxPLG8sTywPK58rDyp/Ke8pXyjfKH8oPygvKE8ojykPKb8qryu/LQ8ufzAPMc8zjzVfNz85DzrPPH8+Dz9/QM9B70L/Q99Er0VvRg9Gr0dPR+9In0lfSj9LH0wfTT9Ob0+vUQ9Sf1P/VX9W/1iPWg9bj1z/Xl9fr2DvYh9jL2QvZQ9l32avZ19n/2ivaU9p72qPay9r32yfbU9uH27fb69wf3Ffcj9zD3P/dN91z3bPd794z3nfev98H30/fl9/f4CPgZ+Cj4N/hE+FD4Wvhj+Gr4b/hz+HX4d/h3+Hb4dPhy+G/4bPhq+Gn4avhs+HL4eviE+JP4pPi4+M745Pj7+RH5JPkz+T35QvlA+Tj5KfkU+Pr43fi8+Jr4efhZ+Dz4I/gP9//39Pft9+r36ffr9+/38/f39/v3//gD+Ab4CvgP+BX4HPgl+DD4PfhL+Fz4bfh++JD4ofiy+MH4z/jb+OX47vj1+Pr4//kB+QP5A/kD+QL5Afj/+P/4//kA+QX5DPkW+ST5N/lN+Wj5h/mp+cz58foW+jr6W/p4+pL6pvq2+sH6x/rJ+sn6xvrC+r76u/q5+rn6vPrA+sb6zvrW+t/65/ru+vT6+Pr6+vr6+fr2+vL67vrq+ub64vrg+t/63/rf+uH64/rm+un67Prv+vH69Pr3+vv6/vsD+wn7EPsY+yL7LPs4+0X7Uvtf+2z7efuE+4/7mPuh+6j7rvuz+7j7vPvA+8X7yfvO+9P72Pve++P76Pvt+/H79fv4+/v7/vwB/AP8BfwI/Ar8DPwO/BD8EfwS/BL8EfwQ/A78DfwM/Av8C/wM/A78EvwX/B38JPwr/DP8O/xB/Ej8TfxS/Fb8Wvxg/Gb8bvx4/IT8k/yl/Ln8zvzl/Pz9FP0q/UD9Vv1q/X79kv2n/b791/3z/hP+Nf5a/oL+q/7U/vz/Iv9E/2P/ff+S/6P/sf+7/8T/zf/W/+D/7P/6AAkAGAAnADMAPQBCAEIAPAAwACAAC//0/93/yP+3/6z/qf+u/73/1f/1ABwASAB2AKUA0gD7AR8BPQFUAWUBbwF1AXgBeAF4AXgBegF+AYQBjQGXAaMBrwG7AcUBzgHUAdcB2AHWAdMBzwHJAcUBwQG+Ab0BvQHAAcQByQHPAdYB3gHlAewB8wH5Af0CAAICAgICAAH8AfYB7wHlAdoBzQHAAbIBpQGYAYwBggF6ASMBHgEbARoBGgEdASEBJgEsATMBOwFDAUwBVAFeAWgBcgF9AYgBlAGhAa0BuQHGAdEB3AHmAe8B9wH+AgUCCwISAhgCIAIpAjQCPwJMAlkCZwJ1AoICjgKZAqECqAKsAq4CrgKuAq4CrgKwArQCuwLFAtMC5AL4AxADKQNEA18DeQOTA6sDwAPTA+MD8QP8BAUEDQQUBBsEIQQnBC4ENQQ8BEQETARUBF0EZQRuBHcEgASLBJUEoQStBLsEyQTYBOcE9gUFBRIFHwUqBTMFOwVBBUYFSgVOBVEFVAVWBVkFWwVdBV0FXAVYBVIFSAU7BSoFFgUABOgEzwS3BKAEjQR8BHEEagRpBGwEdAR/BI0EmwSqBLgEwwTMBNIE1ATUBNAEygTDBLoEsgSqBKIEmwSVBJEEjASIBIUEgQR9BHkEdQRxBG4EawRpBGkEagRsBHAEdQR6BH4EggSFBIUEhAR/BHgEbgRiBFYESAQ7BC4EJAQcBBYEFAQUBBYEGQQeBCQEKQQtBDAEMgQyBDIEMAQvBC0ELQQvBDIEOQRBBEsEWARlBHMEgQSOBJgEoQSmBKgEpwSiBJsEkQSGBHgEagRbBEsEPAQsBBwEDQP+A+8D4QPUA8kDvwO4A7UDtQO5A8IDzgPfA/IEBwQdBDMERgRWBGAEZQRjBFoESgQyBBUD8wPOA6YDfwNZAzUDFQL5AuIC0ALBArYCrgKnAqACmQKRAoYCeQJqAlgCRQIwAhsCBgHzAeEB0gHGAbwBtgGzAbEBsgGzAbUBtgG2AbQBsAGqAaIBmAGMAYABdAFoAV0BUwFMAUcBRAFDAUMBRQFIAUoBSwFMAUoBSAFDAT0BNgEvAScBIQEcARkBGAEYARsBHgEjAScBKwEtAS4BLAEoASIBGwESAQkBAQD6APUA8gDyAPQA9wD6AP0A/wD9APcA7ADbAMQApwCFAF4ANAAI/9v/r/+F/13/Of8Y/vr+3/7G/q3+lf59/mT+SP4s/g397f3M/av9i/1s/U79Mv0Y/QD86fzT/L38p/yP/HX8Wfw5/Bb77/vE+5f7Zvsz+v/6yvqU+l/6Kvn3+cf5mflu+Uf5JPkG+Oz41/jI+Lz4tviz+LT4t/i8+ML4x/jM+M/40PjN+Mf4vviw+J/4i/h0+Fr4Pfge9/332/e295H3afdB9xf27fbC9pf2a/ZA9hX17PXE9Z31d/VT9S/1DfTq9Mj0pvSC9F70OfQT8+zzxfOd83bzUfMt8wry6vLL8rDylvJ+8mfyUfI78ibyEfH78eTxzPG08ZvxgfFn8UzxMPEU8Pfw2/C+8KHwhfBp8E/wOPAj8BLwBO/77/fv9u/68ADwCfAR8BnwH/Ag8B3wFPAF7+/v1O+075Dvau9E7x7u+u7a7r3upO6O7nvuau5Z7kfuMu4b7f/t3+277ZTta+1B7Rfs7+zL7Kzskux+7HDsZ+xi7GDsX+xf7F7sWuxT7EjsOuwn7BHr+Ovd68Dro+uF62jrS+sw6xXq++rj6svqs+qd6ofqc+pf6k3qPOos6h/qEuoH6f3p8+nq6eHp1+nN6cLptumr6Z/pk+mI6X/pd+lx6W3pa+ls6W7pc+l56YHpiemT6Z3pqem16cLpz+ne6e3p++oK6hnqJuoy6jzqROpJ6kzqTepN6kzqTOpO6lLqWupm6nfqjeqm6sPq4usA6x3rNutK61brWutW60jrMusV6vPqzeql6n7qWuo56h7qCen66fHp7unu6fLp9+n96gLqBeoI6gjqCOoG6gTqA+oC6gLqA+oF6gfqCeoK6gjqBen/6fbp6unc6c3pvumw6abpn+mc6aDpqem36crp4On46hDqJ+o76krqVOpY6lbqT+pD6jPqIOoN6fnp5+nX6crpv+m36bLpremq6abpoumd6ZbpjemD6Xfpauld6U/pQuk26SvpIuka6RPpDukK6QjpBukF6QbpB+kJ6QzpD+kU6RrpIOkn6S7pNek86ULpSOlM6VDpUulT6VTpU+lS6VHpUOlO6U3pS+lK6UnpSOlH6UbpROlC6T/pPOk46TTpMOkq6STpHukW6Q7pBuj96PPo6ejg6NfozujI6MPowOjA6MPoyujT6N7o7Oj86QzpHukv6T/pTela6WXpbel06Xjpeul86XzpfOl86Xvpe+l76Xzpfel/6YHphOmH6YvpkOmW6Z7pp+mx6b3pyunZ6ejp+OoI6hjqJuoz6j/qSepQ6lbqW+pe6mHqZOpo6mzqcup66oXqkeqg6rDqwurV6unq/usT6ynrP+tV62vrguub67Tr0Ovt7AzsLexP7HTsmuzA7OjtD+027VztgO2j7cPt4u3+7hfuL+5E7lfuaO547obuk+6f7qvutu7B7s3u2e7l7vLu/+8N7xvvKu8470fvVe9i727vee+D74zvk++a76Dvpe+p767vtO+678Lvy+/V7+Lv8fAC8BbwLfBG8GHwf/Cg8MPw6PEP8TfxYPGK8bPx2/IB8iTyRPJe8nTyg/KM8o7yivJ/8m/yWfJA8iTyB/Hq8c7xtfGf8Y7xgvF78XjxevF/8YfxkfGb8abxr/G28bzxv/HB8cDxv/G98bzxu/G88b/xxfHM8dbx4vHw8f7yDfIc8ivyOPJE8k7yV/Je8mPyZ/Jp8mvybPJs8mzya/Jq8mnyafJo8mjyafJq8m7yc/J68oTykPKg8rLyx/Le8vfzEvMt80nzZPN985bzrPPA89Lz4fPv8/v0BfQQ9Br0JPQv9Dv0SPRW9Gb0d/SJ9J30sfTG9Nz08/UK9SH1OfVR9Wn1gfWZ9bD1x/Xc9fH2BPYW9if2NvZE9lH2XfZp9nX2gPaN9pr2qPa39sf22Pbq9v33EPcj9zb3SPda92z3ffeN9533rve+98/34Pfz+Ab4Gfgt+EH4Vfhp+Hv4jPib+Kj4sfi3+Lr4ufi1+K74o/iX+In4e/ht+GD4VvhP+E34T/hX+GX4ePiR+K34zfju+Q/5L/lM+WT5dfl/+YH5evlq+VH5MvkM+OL4tfiH+Fr4L/gJ9+j3zfe496v3pPej96j3sfe+98333ffu9/74Dvgc+Cn4NPg9+Eb4TfhU+Fv4Yvhq+HP4fviK+Jf4pvi1+Mb41vjm+PX5AvkO+Rb5HPkf+R/5Hfka+RX5EfkN+Qv5DfkS+Rv5Kvk9+VX5cfmQ+bH51Pn2+hf6NvpQ+mf6efqG+o/6lPqV+pT6kvqQ+o76jfqO+pD6lPqa+qL6qfqx+rj6v/rD+sb6yPrH+sX6wvq++rr6t/qz+rH6sPqv+rD6sfqz+rT6tvq3+rf6t/q2+rX6tPqz+rP6tPq2+rr6wPrH+tH63Pro+vb7A/sR+x77Kvs2+0D7SPtP+1b7W/tg+2T7aPts+3D7dPt5+377gvuH+4v7jvuS+5X7l/uZ+5v7nfue+6D7ovuk+6b7p/uo+6n7qfup+6f7pvuk+6L7ofuh+6H7o/un+6z7s/u7+8T7zvvY++H76vvy+/n8APwG/Az8Evwb/CX8M/xE/Fn8cvyP/K780fz0/Rn9Pf1g/YH9n/28/db97v4G/h3+NP5M/mb+gf6e/rz+2/76/xj/NP9O/2P/dv+E/4//l/+c/6H/pf+p/7D/uP/B/8z/2P/k/+//9//7//z/+P/v/+L/0v/B/6//n/+U/43/jv+W/6b/vv/eAAIAKwBWAIAAqADMAOsBBAEWASIBKQEqASkBJgEiAR8BHQEeASIBKAEwATkBQwFMAVUBWwFgAWIBYQFfAVsBVgFRAUwBSAFFAUUBRgFKAU4BVQFcAWQBbAF0AXwBggGHAYwBjwGQAZEBkAGNAYkBhAF+AXYBbgFkAVoBTwFFATsBMgEpAKQAmQCQAIgAgwCAAIAAgwCIAI8AmQCkALEAvwDOAN0A7QD8AQwBGwEqATgBRgFTAV8BawF2AYABigGTAZwBpQGuAbgBwgHMAdgB4wHwAf0CCgIWAiICLQI3Aj8CRgJLAk8CUgJUAlYCWAJcAmECZwJwAnwCigKbAq0CwQLXAu0DAwMZAy0DQQNTA2QDdAOCA5ADnQOpA7UDwQPNA9gD4wPuA/kEAwQNBBUEHgQmBC4ENgQ+BEcEUQRcBGgEdQSDBJIEoASvBL0EygTVBN4E5gTsBPEE9AT2BPcE+AT5BPoE/AT9BP4E/wT/BP4E+wT2BO4E5ATZBMsEvASsBJ0EjgSBBHYEbgRoBGUEZQRnBGoEbwRzBHgEewR9BH0EfAR5BHUEbwRqBGQEXgRZBFQEUQROBEsESgRIBEcERQRDBEIEQAQ+BD0EPQQ+BEAEQwRIBE4EUwRZBF4EYgRkBGQEYARaBFEERgQ4BCoEGwQNBAAD9QPuA+kD6APpA+4D9AP7BAMECwQRBBUEFwQXBBUEEQQMBAcEAgP+A/wD/QQABAYEDwQaBCcENARCBE8EWwRlBGwEcARyBHAEawRkBFsEUQREBDcEKQQaBAwD/QPuA+AD0wPGA7sDsQOqA6UDowOkA6gDrwO5A8QD0APdA+kD8gP5A/wD+wP1A+kD2QPEA6sDkAN0A1YDOgMgAwgC8wLhAtMCxwK+ArYCrwKnAp4CkwKFAnUCYwJNAjcCHwIHAfEB3AHJAbsBrwGoAaUBpAGnAawBsgG4Ab0BwAHCAcEBvQG2Aa4BowGXAYsBfwF1AWwBZgFiAWEBYgFlAWoBbgFyAXYBdwF2AXMBbAFjAVgBSwE9AS8BIQEUAQkBAAD4APMA7gDrAOgA5ADeANcAzQDBALMAowCSAIAAbgBeAE8AQgA5ADIALQArACkAKQAoACUAIAAYAAz//f/q/9T/uv+f/4P/Zv9K/y//Ff78/uX+zv65/qP+jf52/l3+Q/4m/gf95/3G/aT9gv1h/UD9If0D/Of8zPyy/Jf8ffxh/EP8I/wA+9r7sfuE+1T7Ivru+rj6gvpN+hj55fm1+Yf5Xfk2+RP49PjY+MD4rPib+I34g/h7+HX4cfhv+G34bfht+G74bfhs+Gr4Z/hh+Fn4TvhB+DD4HfgF9+r3zPer94f3YPc39w324fa29or2X/Y19g315vXA9Zz1efVX9Tb1FPTy9M70q/SF9F/0OPQQ8+nzwfOa83TzUPMt8w3y7vLQ8rTymfJ/8mXyTPIy8hjx/fHj8cjxrvGV8XzxZPFN8TfxIfEL8PXw3/DH8K/wlvB88GLwSPAu8BbwAO/t797v0u/K78bvxO/F78fvye/J78fvwu+476rvmO+B72fvS+8t7w/u8u7X7r3up+6S7oDucO5f7k/uPe4o7hHt9u3X7bXtke1s7UbtIOz97Nzsv+yn7JPshOx57HDsauxm7GHsXOxU7ErsPewt7BrsBOvr69HrteuY63vrX+tE6ynrEOr46uLqzeq66qfqluqG6nbqZ+pZ6krqPOou6h/qEOoB6fHp4unS6cPptOmm6Zrpj+mH6YDpe+l56Xnpeul96YHphumL6ZHpl+md6aTprOm06b3pyOnT6eHp7+n+6g7qHuou6j3qS+pX6mLqa+pz6nvqg+qM6pfqpeq16sjq3ur36xLrLetI62HrduuG65HrlOuQ64Xrc+tb6z/rIOsA6t/qweql6o3qeupr6mDqWupW6lXqVupY6lrqXOpd6l7qX+pg6mHqY+pm6mjqa+pu6nDqcOpu6mjqYOpU6kTqMuoe6gnp9Onh6dLpxunB6cHpx+nT6eTp+OoP6ifqPupT6mTqcep46nnqdupt6mHqUupB6jDqH+oP6gDp9Onp6eDp2OnQ6cjpwOm36a3poumW6YnpfOlu6WLpVulL6ULpOuk06S/pLOkq6SjpKOkn6SjpKOkp6SrpLOkv6TLpNuk76UDpRelL6VHpVulb6V/pYull6WbpZ+lm6WXpZOli6WDpXelb6VnpV+lV6VLpUOlO6UvpSOlE6UDpPOk36TLpLOkm6SDpGekT6Q3pB+kD6P/o/Oj76Pvo/ukC6QnpEukc6SnpNulF6VXpZOl06YLpkOmd6ajpsum66cHpyOnN6dLp1+nc6eHp5uns6fLp+On+6gTqCeoP6hTqGeoe6iLqJuor6jDqNeo66kDqRupM6lLqWepg6mbqbepz6nnqgOqH6o7qluqe6qjqs+rA6s3q3Ors6vzrDesf6zDrQetS62PrdOuE65Trpeu268jr2+vw7AfsIOw67FfsdeyV7Lbs1+z47RntOu1Y7XXtkO2p7b/t0+3l7fXuBO4S7h7uK+447kbuVO5j7nPuhO6W7qnuvO7P7uHu8+8D7xLvH+8r7zXvPe9E70vvUO9W713vZO9s73XvgO+N75vvqu+7787v4e/28AvwIfA48FHwavCE8KDwvfDb8PrxG/E78VvxevGY8bPxyvHe8e3x9/H88fvx9fHr8d3xzPG58abxkvGB8XLxZvFd8VnxWPFa8WDxaPFy8X3xiPGS8ZzxpPGq8a/xs/G28bjxuvG88b7xwvHG8cvx0vHZ8eDx6PHw8fjx//IF8gvyEfIW8hvyIPIm8izyM/I68kLySvJS8lnyYPJm8mvybvJw8nHycPJw8nDycPJy8nXye/KE8o/ynfKt8r/y0/Lo8v7zE/Mo8zvzTvNf82/zffOL85jzpfOx877zzPPa8+jz9/QG9Bb0JfQ19ET0U/Ri9HL0gfSS9KP0tfTK9N/09vUO9Sj1QvVd9Xj1kvWs9cT12/Xx9gX2GfYr9j72UPZj9nf2jPah9rj20Pbo9wD3GPcw90b3W/dw94L3lPel97X3xvfX9+r3//gV+C74Sfhl+IP4ofi/+Nv49PkJ+Rr5Jfkq+Sj5IPkR+P344/jG+Kf4h/hn+Er4Mfge+BH4C/gO+Bn4LPhH+Gj4jvi5+OX5Efk7+WH5gfmZ+an5r/mr+Z35hflk+Tz5D/je+Kv4ePhI+B339/fZ98P3tvex97X3wffS9+n4A/gg+D34Wfhy+In4nPir+Lb4vvjD+Mb4x/jJ+Mz40PjX+OD47Pj7+Q35IPk0+Uj5Wvlr+Xj5gfmH+Yn5hvmB+Xn5cPlm+V75WPlV+Vf5Xfln+Xb5ifmf+bj50vnr+gT6Gvot+j36SvpT+lj6XPpd+l36Xfpe+l/6Yvpn+m36dfp9+ob6jvqW+pz6oPqj+qT6o/qg+p36mfqV+pH6jvqN+oz6jfqO+pD6kvqU+pb6lvqV+pL6j/qK+oX6gPp7+nf6dfp0+nX6efqA+oj6kvqe+qr6t/rE+tH63fro+vH6+vsC+wn7D/sV+xr7H/sk+yn7Lvsy+zb7Ofs8+z37Pvs++z77Pfs8+zz7O/s7+zv7PPs++z/7QftD+0T7RftF+0T7Q/tB+0D7P/s/+0D7Q/tI+077V/th+237efuG+5T7ofut+7n7xPvQ+9z76fv5/Ar8IPw5/Fb8ePyd/MX87/0b/Ub9cf2Z/b793/38/hX+Kv47/kr+V/5j/m/+e/6H/pX+pP60/sP+0/7i/u/++/8G/w//Fv8d/yP/Kf8w/zj/Qv9M/1j/Y/9v/3n/gv+I/4z/i/+I/4L/ev9w/2j/YP9c/1z/YP9r/3z/kv+t/8v/7AAOADAATwBrAIIAlQCjAKsArwCwAK8ArACoAKYApACkAKYAqQCtALIAtwC7AL4AvwC+ALsAtwCyAKwApQCgAJsAmACXAJkAnAChAKgAsAC5AMIAywDTANsA4wDpAO4A8wD3APoA/AD+AP8A/gD9APoA9gDvAOgA3wDUAMkAvACwAB0AC//7/+z/4f/Z/9X/1f/Z/+H/7P/6AAoAHAAuAEEAVABnAHgAiQCZAKcAtQDCAM4A2gDmAPIA/gEKARYBIwEwAT0BSgFYAWUBcgF/AYsBlwGiAawBtQG9AcQBygHPAdMB1wHbAd4B4gHmAewB8wH6AgQCDgIbAigCNwJHAlgCaQJ7Ao0CoAKzAsYC2gLtAwEDFQMpAzwDUANiA3QDhQOUA6IDrgO5A8IDyQPRA9cD3QPkA+sD9AP+BAkEFgQkBDIEQgRRBGAEbgR7BIUEjgSVBJoEnQSeBJ8EoASgBKAEoQSiBKQEpgSoBKoEqwSsBKoEqASjBJ0ElQSMBIIEdwRsBGIEWARPBEcEQQQ7BDYEMgQuBCoEJgQhBBwEFwQRBAwEBgQBA/0D+QP3A/UD9QP1A/cD+AP7A/0D/wQCBAQEBgQJBAwEDwQTBBcEHAQiBCgELgQzBDYEOQQ5BDYEMQQpBB8EEgQEA/UD5gPXA8oDwAO5A7QDswO1A7oDwQPJA9ED2QPfA+QD5gPmA+MD3gPXA88DxwPAA7oDtwO2A7gDvQPFA9AD3APqA/gEBgQUBB8EKAQvBDIEMwQxBCwEJAQbBBAEAwP2A+gD2gPMA78DsgOnA54DlgOQA40DiwOMA48DlAOaA6ADpwOtA7IDtAO0A7EDqwOhA5MDgwNwA1wDRgMwAxsDBwL1AuUC2ALNAsQCvAK0AqwCpAKZAowCfAJpAlMCOwIhAgYB6wHRAbkBpAGTAYYBfgF6AXoBfwGFAY4BmAGhAakBrwGyAbMBsAGrAaMBmQGPAYUBewF0AW4BawFsAW8BdAF7AYMBigGRAZYBmAGWAZEBiAF7AWsBWAFEAS4BGAECAO4A3ADMAL0AsACkAJkAjQCBAHMAYwBQADwAJQAM//L/2P+//6b/kf9+/27/Yv9a/1X/Uv9S/1P/Vf9W/1b/Vf9S/03/Rf87/y//Iv8T/wT+9P7i/tH+vv6r/pb+gP5o/k/+M/4W/ff91v21/ZL9cP1N/Sz9C/zr/Mz8rfyP/HH8U/wz/BL77vvI+6D7dftH+xf65fqy+n76S/oZ+ej5ufmN+WP5PfkZ+Pn42/jA+Kf4j/h6+Gf4VPhE+DX4KPge+BX4DvgK+Aj4CPgK+A34EfgU+Bf4F/gV+A/4Bff39+P3y/et94v3Zfc89xH25Pa29on2XfYz9gr14/W/9Zv1efVY9Tb1FfTy9M70qfSC9Fr0MvQJ8+DzuPOR82zzSPMm8wXy5vLJ8qvyj/Jy8lXyOPIa8fzx3vHA8aPxhvFs8VTxPfEo8RXxBPDz8OPw0fC+8Krwk/B68F/wQvAk8Abv6O/N77Tvnu+N74Dvd+9y73Dvce9z73Tvde9z727vZu9a70vvOe8k7w7u9u7f7sjus+6f7o3ufO5s7l3uTO477ifuEe357d3tv+2f7X3tW+057Rjs+ezd7MTsr+yc7I3sgOx27GzsYuxY7E3sQOwx7B/sC+v1693rw+up647rdOta60LrK+sW6wLq8Org6tDqwuqz6qXqluqG6nXqY+pQ6jvqJuoQ6frp5enQ6b3prOme6ZLpiumE6YLpgumE6YjpjemT6Znpnumj6afpqumt6a/psem06bjpvunG6c/p2+nq6frqC+oe6jHqROpX6mnqe+qM6pzqrOq96s/q4ur26wvrIus761Pra+uC65frqOu167zrvuu667DroeuN63brXOtB6ybrDOr16uDqzurA6rXqruqp6qfqpuqn6qnqrOqv6rLqteq56r7qwurH6svqzurQ6tDqzurI6r/qs+qj6o/qeeph6knqMeob6gjp+unx6e3p7+n36gPqFOon6jzqUepk6nXqg+qN6pLqk+qQ6onqf+pz6mbqWOpK6jzqL+oi6hbqCun+6fLp5enY6cvpvemv6aLplOmH6Xvpcelo6WDpWulW6VLpT+lN6UvpSelH6UXpQ+lB6T/pPuk+6T7pQOlD6UfpTelT6VnpYOln6W7pdOl56X3pf+mA6YDpf+l96Xrpd+lz6XDpbelq6WfpZelk6WPpYuli6WLpYulj6WPpZOlk6WPpY+li6WDpX+ld6VzpW+lZ6VnpWela6VzpYOlk6WrpcOl46YDpiemT6Zzppumv6bnpwunL6dTp3Onl6e7p+OoB6gvqFuoh6i3qOOpE6k/qWupk6m3qdep86oLqh+qK6ozqjuqP6pDqkOqR6pLqlOqW6prqnuqk6qvqs+q96sfq0+rg6u3q++sK6xjrJ+s160PrUetd62nrdet/64rrlOud66jrs+u/68zr2uvq6/zsD+wl7DvsU+xr7ITsney17Mzs4uz37QrtHO0s7TvtSe1W7WPtce1/7Y7toO2y7cft3u327hDuKu5F7mDuee6R7qfuuu7L7tju4+7r7vHu9e747vru/O7/7wTvC+8U7x/vLe8+71HvZe9875Tvre/G7+Dv+vAU8C/wSfBk8H/wm/C28NHw7PEG8R/xNfFK8VvxaPFy8XfxePF18W/xZfFZ8UvxPfEw8STxGfES8Q7xDvEQ8RfxIPEr8TjxR/FV8WPxcfF98YjxkvGb8aLxqfGv8bXxu/HB8cfxzfHU8dvx4fHn8ezx8fH08fbx+PH68fzx/vIB8gXyCvIR8hryJfIw8j3ySfJW8mHya/Jz8nnyfPJ98nzyevJ28nLybvJr8mnyafJr8nDyd/KA8oryl/Kl8rPywfLQ8t/y7vL98wvzGvMq8zrzSvNc823zgPOS86PztPPE89Lz3vPp8/Lz+vQB9Aj0D/QX9CD0LPQ79E30YvR69JX0svTR9PH1EfUx9VH1b/WN9an1xfXg9fv2FfYx9k32a/aJ9qj2x/bm9wX3Ivc+91j3cPeF95j3qve798v33ffw+AX4Hvg6+Fn4fPih+Mj47/kU+Tf5Vvlu+X/5iPmH+X35avlO+Sv5AvjU+KT4dPhG+Bz3+Pfb98f3vPe798X31/fz+Bb4P/hs+Jz4zfj8+Sj5T/lw+Yj5mPmf+Zv5jvl5+Vz5N/kO+OL4tfiI+F74Ofga+AP38/ft9+/3+vgM+CX4Qvhi+IT4pvjG+OL4+/kO+R35Jvkr+Sz5K/ko+SX5I/kj+SX5K/k1+UH5Ufli+XT5h/mY+af5s/m7+b/5wPm9+bf5r/ml+Zz5k/mN+Yn5iPmL+ZH5m/mn+bb5xfnV+eT58vn/+gn6EfoY+h36Ifok+if6K/ov+jX6PPpE+k36V/pg+mn6cvp5+n76gfqD+oP6gvp/+n36evp4+nf6d/p4+nr6ffqA+oP6hvqI+oj6hvqD+n/6efpx+mr6Yvpb+lX6UfpQ+lD6U/pY+l/6aPpy+n36iPqT+p76p/qw+rj6v/rF+sv60frW+tv64Prl+ur67frw+vL68/rz+vL68Prt+un65fri+t/63frc+t363vrh+uT66Prs+u/68vr0+vX69fr1+vX69Pr1+vb6+vr/+wf7Evsf+y77P/tR+2X7efuN+6L7tvvL+9/79fwL/CT8P/xc/Hz8n/zF/Oz9Ff09/WX9i/2u/c395/38/gz+F/4d/h/+Hv4c/hj+FP4Q/g/+D/4S/hf+Hv4n/jL+Pv5L/ln+Z/52/oX+lf6k/rT+xf7V/uT+8/8B/w7/Gf8h/yj/LP8t/y7/LP8r/yr/Kv8r/zD/N/9C/1H/Yv92/4z/ov+6/8//5P/2AAUAEQAaACAAJAAmACYAJgAmACYAJgAoACkAKgAsACwALAAqACcAIgAbABMACwAC//n/8v/s/+f/5f/l/+j/7f/z//sABAAOABgAIQArADQAPABFAE0AVQBcAGQAawByAHgAfQCBAIIAgQB9AHYAbQBgAFEAQQAv/8H/rP+Z/4j/e/9x/23/bf9x/3r/hv+W/6j/u//P/+P/9gAIABgAJwA1AEIATQBYAGQAbwB7AIgAlgCkALQAxQDVAOcA9wEIARcBJgEzAT8BSgFTAVsBYQFnAWwBcQF1AXkBfQGCAYYBjAGSAZgBoAGnAbABuQHDAc0B2QHlAfICAQIQAiECMgJGAloCcAKGAp4CtQLOAuUC/AMSAycDOgNLA1kDZQNwA3gDfwOFA4sDkQOXA54DpwOxA7wDygPYA+gD+AQHBBcEJQQyBD0ERgRNBFIEVQRXBFgEWQRZBFoEWwRcBF8EYgRlBGkEbARuBG8EbwRuBGoEZQReBFYETARCBDcEKwQgBBYECwQCA/gD8APoA+AD2QPSA8sDxQO/A7kDtAOwA60DqwOrA6sDrAOvA7IDtgO7A8ADxQPKA88D1APZA94D4wPpA+8D9QP7BAAEBQQJBAwEDQQMBAkEAwP7A/AD5APWA8gDuQOrA58DlAOMA4cDhQOFA4gDjQOTA5oDoAOmA6oDrQOtA6sDpwOiA5sDlAONA4cDgwOBA4IDhgONA5YDogOwA74DzgPdA+oD9gQABAcECwQLBAgEAwP7A/AD4wPWA8cDuQOqA50DkQOHA34DeQN1A3QDdQN4A30DgwOJA5ADlgObA54DngOcA5cDjwOEA3YDZwNVA0MDMAMdAwwC/ALtAuEC1gLMAsQCvAK0AqsCoAKTAoMCcQJbAkQCKgIOAfMB1wG9AaYBkQGBAXUBbQFqAWsBbwF1AX4BhgGPAZYBnAGeAZ4BnAGWAY8BhgF9AXQBbAFnAWMBYgFlAWkBcAF5AYIBiwGTAZgBmgGZAZMBiQF7AWgBUwE7ASIBCADuANUAvgCpAJYAhAB1AGYAWABJADkAJwAU//7/5v/M/7D/k/92/1r/QP8o/xT/A/73/u7+6v7p/uv+8P72/v3/BP8K/w7/Ef8R/w//C/8D/vn+7f7e/s3+uv6l/o7+dv5b/j7+IP4B/eD9v/2d/Xr9WP02/RT88/zS/LL8k/xz/FT8M/wS++/7y/uk+3z7Uvsm+vj6yvqb+mz6PfoQ+eT5ufmR+Wv5Rvkj+QL44vjD+KX4iPhr+E/4NPgb+AP37vfc9833w/e897n3u/fA98j30ffc9+b37/f19/b38/fr99z3xver94v3Zfc89xD24va09ob2WvYv9gf14PW89Zr1ePVX9Tf1FfTy9M70qfSC9Fn0MfQI89/zt/OR82zzSfMo8wny7PLP8rPyl/J68l3yP/Ig8gDx3/G/8aDxgvFl8UvxMvEd8Qnw9/Dn8NfwxvC18KHwjPB08FnwPfAe7//v4O/C76fvj+9672vvYO9Z71bvV+9a717vYu9l72XvY+9d71TvR+837yTvD+757uPuzu657qbulO6D7nPuY+5T7kLuMO4b7gTt6+3P7bHtke1x7VHtMe0T7Pbs3OzF7LDsn+yP7IHsdOxo7FzsT+xA7DDsHuwL6/Xr3+vH66/rlut+62frUes96yrrGOsI6vjq6era6srqueqn6pTqf+pp6lHqOeog6gjp8enb6cjpuOmq6aDpmumX6Zfpmeme6aPpqemw6bXpuum96cDpwenB6cDpwOnB6cLpxunL6dPp3enq6fnqCuoc6jDqROpZ6m7qg+qY6q7qw+rZ6u/rBusd6zXrTutm637rlOun67jrxOvM68/rzevF67jrp+uS63vrYutI6y/rGOsD6vLq4+rZ6tLqz+rO6tDq0+rY6t7q5Orq6vDq9er66v7rAusF6wfrB+sG6wPq/er16uvq3erN6rvqp+qT6n7qaupX6kfqO+oy6i7qLuoz6jvqR+pV6mXqdeqF6pTqoeqr6rLqtuq36rXqsOqp6qDqluqL6n/qcupk6lbqSOo56irqG+oL6fzp7Ond6c/pwem16anpoOmX6ZDpiumF6YDpfOl36XPpb+lq6WXpYOlb6VfpU+lR6VDpUelU6VjpXulm6W7pd+mB6YrpkumZ6Z/po+ml6aXppOmg6Zzpl+mR6YzphumB6X3pe+l56Xrpe+l+6YPpiOmO6ZXpnOmj6arpsOm16bnpu+m96b3pvOm66bfptOmw6a3pq+mp6afpqOmp6azpsOm26b3pxOnN6dfp4enr6ffqAuoO6hrqJuoz6kDqTupc6mrqeOqH6pXqo+qw6rzqxurP6tfq3Org6uLq4urg6t7q2+rY6tXq0urR6tHq0urW6tzq5Ort6vnrBusU6yPrMutB60/rXetp63Xrf+uH64/rleub66Hrpuus67PrvOvF69Hr3evs6/zsDewe7DDsQuxT7GPscex+7Inskuya7KDspeyp7K7stOy77MXs0uzh7PXtDO0m7UTtZO2H7avtz+3y7hTuNO5Q7mnufu6O7pruo+6o7qruqu6p7qjuqO6p7q3us+687sju1+7q7v/vF+8x703vau+H76bvxe/k8ATwI/BC8GHwf/Cd8Lnw0/Dr8QHxE/Ei8S3xNPE28TXxL/En8RvxDvEA8PLw5fDa8NHwzPDK8Mvw0PDZ8OXw8/EC8RPxJPE18UbxVvFl8XTxgfGN8ZnxpPGv8brxxPHP8dnx4/Hr8fPx+fH+8gHyA/IE8gPyA/IC8gHyAvIF8gnyD/IX8iLyLvI78knyV/Jk8nDyefKB8oXyiPKH8oXygPJ78nXyb/Jp8mXyYvJh8mHyZPJo8m7ydfJ98obykPKa8qbys/LA8tDy4PLy8wXzGvMv80XzWvNv84LzlPOj87DzuvPB88XzyPPK88vzzfPR89fz4PPs8/30EfQo9EP0YfSA9KH0wvTk9QX1JfVF9WT1g/Wj9cL15PYG9ir2T/Z29p32xfbr9xH3NPdU93H3i/eh97T3xffV9+X39vgK+CH4PPhc+ID4qPjT+QD5LflY+X/5oPm4+cf5yvnD+a/5kPlo+Tb4//jD+Ib4SvgS99/3tPeT93z3cPdv93j3i/en98n38Pgc+En4dfih+Mn47PkK+SL5M/k8+T75Ofkt+Rv5BPjp+Mv4q/iL+G34Uvg6+Cj4HfgX+Bn4Ivgx+EX4Xvh7+Jn4t/jV+PD5B/kb+Sn5M/k4+Tn5Nvkx+Sv5Jvkh+R75H/ki+Sn5Mvk/+U35Xflt+X35i/mW+Z/5pfmo+an5p/mj+Z75mPmT+Y/5jfmM+Y35kfmW+Z35pfmt+bb5v/nH+c/51/nd+eT56vnw+ff5/voF+g36Ffoe+if6L/o3+j36Q/pH+kv6TfpO+k76TvpO+k/6UPpT+lb6Wvpf+mT6avpv+nP6dfp2+nb6c/pu+mj6YfpZ+lL6S/pF+kL6QPpA+kP6SPpP+lj6Yfpr+nX6fvqH+o76lfqa+p76oPqj+qT6pvqn+qn6qvqr+qz6rfqt+qz6q/qo+qX6ofqd+pj6lPqR+o/6j/qQ+pL6lvqc+qL6qfqw+rb6vPrA+sT6xvrH+sn6yvrM+tD61vrf+uv6+vsM+yL7OvtV+3H7jvur+8j75Pv//Bn8MvxL/GP8fPyV/K/8yfzl/QL9H/07/Vf9cf2J/Z39rf25/cD9w/3A/br9sf2m/Zn9jP2A/Xb9bv1p/Wn9bP1y/X39iv2b/a79w/3Z/fD+CP4f/jb+TP5h/nT+hv6W/qX+sf67/sT+y/7R/tb+2/7f/uT+6f7w/vf/AP8L/xb/I/8x/z//TP9a/2b/cf97/4P/iv+Q/5X/mf+d/6D/pP+n/6v/r/+y/7X/t/+3/7f/tP+w/6r/o/+b/5L/if+B/3n/c/9u/2z/a/9t/3H/dv98/4T/jP+V/53/pv+u/7f/wP/J/9L/3f/n//P//gAJABQAHQAlACoALAAqACQAGwAO//3/6v/W/4P/cP9e/0//RP89/zv/Pv9F/1H/YP9y/4X/mv+u/8L/1P/l//QAAQANABcAIAAqADMAPQBJAFYAZAB0AIUAlwCqAL0AzwDgAPAA/wEMARcBIAEnAS0BMgE3AToBPgFDAUgBTQFUAVsBYwFsAXUBfgGIAZIBnAGmAbEBuwHGAdIB3gHsAfsCCwIcAi8CQgJXAm0CgwKYAq4CwgLVAucC9gMEAxADGQMiAykDLwM1AzsDQQNIA1EDWwNnA3QDgwOSA6EDsQPAA80D2gPlA+0D9AP5A/wD/QP+A/4D/gP+A/8EAQQDBAcECwQPBBQEGAQbBB4EHwQeBBwEFwQRBAkEAAP2A+sD4APVA8oDvwO2A60DpQOdA5cDkQOMA4cDgwN/A30DegN4A3cDdwN3A3gDegN9A38DgwOHA4sDjwOTA5gDnAOhA6YDrAOxA7cDvAPCA8gDzgPSA9YD2APZA9gD1QPQA8kDwAO1A6oDngOSA4cDfQN1A28DagNpA2kDawNuA3IDdwN7A38DggOEA4QDgwOBA30DegN2A3QDcgNzA3UDegOCA4wDmAOlA7QDxAPTA+ID7wP6BAIECAQKBAgEBAP8A/ID5QPXA8gDuAOpA5oDjQOCA3kDcgNuA2wDbANvA3IDdwN8A4EDhgOIA4kDiAOEA30DdANpA1sDTAM7AyoDGAMIAvgC6QLcAtACxgK9ArUCrQKkApsCkQKFAnYCZgJTAj4CKAIQAfkB4gHMAbcBpgGYAY0BhQGCAYEBgwGGAYsBkQGWAZoBnQGeAZ0BmQGUAY0BhgF+AXYBcAFrAWgBaAFqAW4BcwF6AYIBiAGOAZEBkgGPAYgBfQFvAV0BSAExARkBAADoANEAuwCnAJUAhQB2AGkAXQBQAEIAMwAiAA//+v/i/8j/rf+R/3X/Wv9C/yv/GP8J/v7+9/7z/vP+9v78/wL/Cv8R/xb/G/8d/xz/GP8R/wf++f7o/tX+v/6m/ov+b/5Q/jD+D/3u/cz9qf2G/WP9QP0e/Pz82/y6/Jr8efxZ/Dn8GPv3+9X7svuO+2n7Q/sd+vb6zvqm+n/6WPox+gv55vnB+Z35eflV+TH5Dfjo+MP4nfh3+FL4LfgK9+r3zPez9573jveE9373fveC94r3lPeg96v3tfe897/3vfe296j3lPd691v3N/cQ9uf2vPaR9mf2P/YZ9fT10vWy9ZP1dfVX9Tn1GfT49NX0sPSK9GL0OvQR8+nzwvOd83rzWfM78x7zA/Lp8tDyt/Kd8oLyZvJI8iryCvHq8cnxqfGK8W3xUvE48SHxDPD48OXw0/DA8KzwmPCB8GnwT/A18Bnv/u/j78vvtO+h75Lvh+9/73vvee9673zvfu9/737ve+9172zvX+9Q7z7vKu8V7wDu6+7W7sLusO6f7o7uf+5v7l7uTe457iTuDO3y7dbtt+2Y7XjtV+037Rns/ezj7Mvst+yl7JXsh+x67G7sYuxV7EfsOOwn7BXsAevs69brv+uo65Hreutl61DrPOsp6xfrBOry6uDqzuq66qbqkep76mXqTuo46iLqDun76erp3OnR6cjpwum/6b7pv+nB6cTpyOnM6c/p0unU6dXp1unX6djp2unc6eDp5ens6fTp/uoK6hfqJuo16kXqVupo6nnqjOqf6rPqyerf6vfrEOsp60TrXut464/rpeu368XrzuvR687rxuu466Xrjut061jrO+sf6wXq7urb6szqw+q+6r7qwerJ6tLq3urq6vbrAusM6xXrHOsh6yTrJesk6yLrHusZ6xLrCusB6vfq7Org6tPqx+q66q3qoeqW6o3qhuqB6n7qfuqB6obqjeqW6p/qquq16r/qyOrQ6tbq2+rd6t7q3OrZ6tPqzOrD6rnqreqh6pPqhOp16mXqVepF6jXqJeoW6gfp+unu6ePp2enQ6cjpwem76bTprumo6aLpm+mU6Y7piOmC6X3peul46Xfpeel96YLpiemR6ZrppOmt6bfpv+nG6cvpz+nQ6dDpzenJ6cPpvem16a7pp+mh6ZzpmemX6Zfpmeme6aTpq+m06b7pyOnS6dzp5enu6fTp+un96f/p/+n96frp9uny6e7p6enm6ePp4unj6ebp6unx6fnqA+oO6hrqKOo16kPqUepf6m3qe+qI6pbqo+qw6r3qyerW6uLq7ur56wPrDOsT6xnrHOse6x3rG+sW6xHrCusD6vzq9urx6u7q7urv6vTq++sF6xHrH+sv6z/rUOth63Hrf+uM65froOun663rsuu167nrvevB68frzuvX6+Lr7uv77ArsGewo7DbsQuxN7FXsWuxd7FzsWexU7E7sR+xB7DzsOew67D7sSOxW7Grsg+yh7MPs6O0R7TrtY+2M7bLt1u317hHuJ+457kfuUO5W7lruXO5d7l3uX+5i7mjucO567ojume6t7sPu2+727xLvL+9N72zvjO+s783v7fAN8C3wTfBq8IfwofC48M3w3vDr8PXw+vD78Pnw8/Dr8OHw1vDK8L/wtvCv8KrwqPCq8K7wtvDB8M3w3PDs8P3xDvEf8THxQvFS8WPxc/GD8ZPxo/Gy8cLx0fHf8e3x+PID8gvyEvIW8hnyGvIZ8hjyFvIU8hPyFPIW8hvyIvIr8jbyQ/JQ8l7ybPJ58oXyj/KW8pvynfKd8pvyl/KS8o3yh/KC8n3yefJ38nbydvJ38nryfvKE8orykvKb8qbysvLA8tDy4vL18wrzIPM2803zYvN384nzmfOn87LzufO/88PzxfPH88rzzfPT89zz6PP39Ar0IPQ59FT0cPSO9Kz0yfTm9QP1H/U69Vb1c/WR9bL11PX69iL2TPZ49qb20/b/9yn3UPdz95L3rPfD99X35vf1+AX4Fvgr+EX4ZPiJ+LP44/kW+Uv5f/mw+dz6APoZ+iX6JPoV+ff5y/mU+VP5C/i++HH4Jvfg96L3bvdF9yn3GfcW9x73MfdM9273lPe89+b4Dvgz+FT4cfiI+Jr4pvis+K34qvii+Jb4iPh3+GX4UvhA+C74H/gS+Aj4Aff/+AL4CPgU+CL4NfhK+GH4efiQ+Kb4uvjM+Nr45fjr+O/47/ju+Or45vji+OD43/jg+OT46vj0+QD5Dvkd+Sz5PPlL+Vn5Zflv+Xf5fPl/+YH5gfmA+X75ffl7+Xr5evl6+Xz5f/mC+Yf5jPmT+Zn5oPmo+bD5ufnB+cr50vnb+eL56fnw+fX5+vn9+f/6AfoB+gH6AfoB+gL6A/oF+gn6DvoU+hv6I/or+jL6Ofo/+kP6RPpE+kL6Pvo4+jL6K/ol+h/6G/oa+hr6Hvok+iz6N/pD+lD6Xfpq+nb6gPqI+o/6k/qV+pX6k/qQ+o36ifqE+oD6e/p3+nT6cPps+mj6Zfph+l36WfpW+lP6UvpR+lP6VfpZ+l/6Zvpu+nf6gPqI+pD6l/qd+qL6pvqq+q/6tPq6+sP6z/rf+vL7Cfsk+0P7ZPuI+6z70Pv0/Bb8NPxQ/Gn8fvyQ/J/8rPy4/ML8zPzW/OH87fz6/Qf9FP0h/Sz9Nv0+/UP9Rf1E/UD9Of0w/Sb9Gv0P/QX8/Pz3/PT89Pz5/QH9Df0c/S79Qv1Y/W/9hv2d/bT9yf3d/e/+AP4O/hv+J/4x/jr+Q/5L/lL+Wv5i/mv+dP59/of+kf6c/qf+sf67/sT+zf7V/tz+4/7o/u7+8/74/vz/Af8H/wz/Ev8Y/x7/JP8p/y3/L/8x/zH/MP8u/yr/Jv8h/xz/GP8V/xP/Ev8T/xX/GP8d/yP/Kf8v/zb/PP9D/0j/Tv9U/1v/Yv9q/3T/f/+L/5j/pv+0/8H/zf/Y/9//4//j/+D/1//M/7z/qv+X/zb/Jf8W/wr/Av7+/v//BP8P/x3/L/9D/1n/b/+F/5r/rf++/83/2v/l/+7/9///AAgAEQAcACcANABDAFMAZAB1AIcAmACoALYAwwDPANgA4ADnAO0A8gD2APsBAAEGAQ0BFgEfASkBNAFAAU0BWQFmAXIBfgGJAZUBoAGqAbUBwQHMAdkB5gH0AgICEgIiAjICQgJRAmACbQJ6AoUCjgKWAp0CowKpAq4CtAK6AsECyQLTAt8C7AL6AwoDGQMqAzkDSANVA2ADagNxA3UDeAN4A3cDdANxA24DbANqA2kDaQNrA24DcgN2A3sDgAOFA4gDiwOLA4sDiAOEA34DdwNwA2cDXwNXA08DSANCAz0DOQM3AzUDNAMzAzQDNAM2AzcDOAM6AzsDPQM/A0ADQgNEA0UDRwNJA0oDTANOA1ADUgNVA1gDXANgA2UDawNxA3gDfwOGA4wDkgOXA5sDnQOdA5sDmAOUA44DhwN/A3cDcANpA2IDXgNaA1gDWANZA1sDXQNgA2QDZwNqA2wDbgNvA3EDcQNzA3UDeAN8A4IDiQOSA54DqgO4A8cD1wPmA/UEAgQNBBYEHAQfBB8EGwQVBAwEAAPzA+UD1QPFA7YDpwOaA44DgwN6A3QDbgNqA2cDZANiA18DXANXA1EDSQNAAzQDJwMZAwoC+QLpAtgCyAK5AqsCngKTAokCgQJ6AnMCbQJnAmACWQJQAkYCOgItAh8CEAH/Ae8B3gHPAcABtAGpAaABmgGWAZQBlAGWAZgBmwGeAaABogGjAaIBoQGeAZsBlwGTAY8BjAGJAYgBiAGKAYwBjwGSAZUBlwGYAZcBkwGMAYMBdwFoAVcBRAEwARsBBgDyAN8AzQC9AK8AowCYAI0AgwB5AG0AYABRAEAALQAX////5v/L/7D/lv99/2b/Uf9A/zL/KP8h/x7/Hf8e/yH/Jf8p/yv/Lf8s/yn/I/8a/w3+/v7r/tX+vP6h/oT+Zf5F/iP+AP3c/bj9lP1w/Uv9J/0D/OD8vfya/Hj8V/w2/BX79fvV+7X7lft2+1f7OPsa+vv63fq/+qH6g/pl+kf6J/oI+eb5xPmg+Xr5Uvko+P340Pij+HX4SPgd9/T3zvet95D3ePdm91n3UfdN9033UPdU91n3XPdd91v3VfdK9zv3J/cP9vL20/ay9o/2bPZK9in2CvXs9dD1tvWd9YX1bfVT9Tn1HPT+9N30ufST9Gz0RfQc8/XzzvOq84fzaPNK8y/zFvL/8ujy0vK78qPyi/Jw8lTyN/IY8fnx2fG58ZvxffFh8UfxLvEX8QHw7fDZ8MXwsPCc8IbwcPBZ8ELwKvAU7/7v6u/Y78jvu++w76jvou+d75nvlu+S743vhu9+73TvZ+9Z70nvN+8l7xLvAO7t7tzuyu667qrume6J7nfuZO5P7jjuH+4E7ebtx+2m7YTtYu1B7SLtBOzo7M/sueym7JXshux57G7sY+xY7EzsQOwy7CPsEuwA6+zr1+vC66vrlet+62frUes86ybrEur+6unq1urC6q7qm+qI6nXqY+pR6kDqMOoi6hXqCuoB6fnp8unt6erp5+nm6eXp5Onk6eXp5uno6erp7enw6fXp++oC6grqEuoc6ibqMOo66kTqTupY6mHqa+p16oDqjOqa6qnqu+rQ6ufrAOsc6zjrVetw64rroeuz68Drx+vH68Drsuue64TrZutF6yPrAerh6sTqq+qZ6ozqheqF6ovql+qm6rjqzOrh6vXrB+sY6yXrL+s26zrrOus46zTrLusn6x/rF+sP6wfrAOr56vLq7Orm6uHq3OrY6tTq0erO6s3qzOrM6s7q0OrT6tfq3Orh6ufq7Orx6vXq+er76vzq++r56vXq8Orp6uDq1erJ6rzqruqg6pHqgepy6mPqVOpH6jrqLeoi6hjqDuoF6f3p9enu6ebp3+nY6dHpy+nF6b/puum26bPpsumy6bTpt+m76cHpyOnP6dfp3+nm6e3p8+n36frp++n76frp9+nz6e7p6enj6d3p2OnU6dHpz+nO6c/p0enU6dnp3+nl6e3p9On86gTqC+oR6hbqGuod6h/qH+of6h3qG+oY6hbqFOoT6hPqFeoY6h3qJOot6jjqROpS6mHqcOqA6o/qnuqt6rzqyerW6uLq7ur46wLrDOsV6x3rJOsr6zDrNOs36zjrN+s06y/rKOsg6xfrDesD6vnq8erq6ubq5ern6uzq9esB6w/rIOs060jrXOtw64PrlOuk67HrvOvE68rrz+vS69Xr2Ovb69/r5evt6/bsAOwM7BjsJewx7DzsRexL7E7sTuxL7ETsO+wv7CLsFOwG6/vr8uvs6+zr8Ov67ArsIOw67Frsfeyj7Mrs8u0a7UDtZO2E7aHtue3O7d/t7e347gHuCO4P7hbuHe4m7jDuPO5K7lvube6B7pfur+7H7uHu++8W7zLvTu9q74bvo++/79vv9vAQ8CnwQPBU8GfwdvCD8I3wk/CX8JnwmPCV8JLwjvCL8IjwhvCH8InwjfCU8Jzwp/Cz8MDwz/De8O7w/vEP8R/xMPFB8VPxZPF38YnxnPGv8cHx0/Hk8fTyAvIO8hjyIPIl8inyKvIr8iryKfIp8iryLPIv8jXyPvJI8lTyYvJw8n/yjvKc8qnytPK98sTyyPLK8sryyPLF8sDyu/K28rHyrfKp8qbypPKk8qXyp/Kr8rDyt/LA8szy2fLo8vnzDPMg8zXzSvNf83Tzh/OZ86jztvPB88nz0fPW89vz4fPm8+7z+PQE9BP0JvQ79FL0bPSH9KL0vfTY9PH1CfUg9Tb1S/Vg9Xb1jvWo9cb15/YM9jX2YPaO9r327Pca90X3bPeP9673x/fc9+/3//gP+CH4NvhQ+HH4mfjI+P/5O/l7+b35/vo6+m/6mfq1+sL6vfql+nz6Qvn4+aP5RPjg+Hr4F/e792j3Ifbo9r/2pvab9p/2sPbL9u33FfdA92v3lPe599r39fgJ+Bj4IPgj+CD4GvgQ+AX39/fp99v3zffB97b3rPel96H3n/ef96P3qve098H30Pfi9/X4Cvgf+DT4Sfhc+G74ffiK+JT4nPii+KX4p/io+Kn4qvit+LD4tfi8+Mb40fje+Oz4+/kL+Rv5Kvk4+UX5UPlZ+WD5Zflo+Wn5afln+WX5Y/lg+V75XPlc+Vz5Xvli+Wb5bPl0+Xz5hfmO+Zf5oPmo+a/5tfm5+bz5vfm9+bz5uvm3+bX5s/mx+bH5s/m2+br5wPnI+dD52Pnh+ej57vnz+fX59vn0+fH57Pnm+d/52vnV+dL50vnU+dr54vnu+fz6Dfoe+jH6Q/pU+mT6cfp8+oT6iPqK+on6hvqA+nn6cfpo+l/6VvpN+kX6Pfo2+jD6Kvom+iL6IPoe+h76IPoi+if6LPoz+jv6Q/pM+lX6Xvpm+m36dPp5+n/6hPqK+pH6m/qn+rb6yvrh+v77HvtC+2r7lPu+++j8Efw3/Fn8dvyN/J78qvyv/LD8rfym/J78lfyM/IT8f/x8/Hz8fvyD/Iv8k/yd/Kb8rvy1/Lv8vvzA/L/8vfy6/Lb8svyv/K78rvyw/LX8vfzG/NP84fzw/QD9Ef0i/TL9Qv1Q/V39af10/X39hv2O/Zb9nf2l/az9tP29/cb9z/3Z/eP97f32/gD+Cf4R/hj+H/4l/iv+MP41/jr+P/5F/kr+UP5X/l3+Y/5q/m/+df55/n3+f/6B/oL+gv6C/oL+gv6D/oT+h/6L/pD+l/6e/qf+sP65/sL+yv7R/tj+3v7j/uj+7P7x/vb+/P8E/w7/Gf8n/zX/Rf9U/2T/cv9+/4b/jP+N/4r/g/95/2v/Wv9I/t3+zP6+/rL+q/6o/qr+sP67/sr+3f7y/wn/IP83/03/Yf90/4T/kv+d/6j/sf+5/8H/yv/T/93/6P/1AAIAEAAfAC4APABKAFcAYwBuAHcAfwCHAI4AlACbAKIAqQCyALwAxgDSAN4A7AD5AQcBFQEjATABPAFIAVMBXgFpAXMBfQGHAZEBnAGnAbIBvQHJAdQB3gHoAfEB+QIAAgYCCwIPAhICFgIZAh4CIwIqAjICPQJJAlcCZgJ3AogCmgKrArsCyQLVAt8C5gLrAuwC6wLoAuMC3QLWAtACyQLEAsACvQK8ArwCvgLBAsQCyALMAs8C0gLUAtUC1QLTAtECzgLKAsYCwgK/ArwCugK5ArkCugK8Ar8CwwLIAs0C0gLYAt0C4gLnAuwC8ALzAvYC+AL6AvwC/AL9Av0C/gL+Av4C/wMAAwIDBQMJAw4DFAMbAyIDKwM0Az0DRgNOA1YDXQNiA2YDaQNpA2gDZgNjA18DWgNVA1ADTANIA0YDRANDA0MDRQNHA0oDTQNRA1UDWQNeA2MDaANtA3QDewODA40DlwOjA7ADvQPMA9oD6QP3BAUEEQQbBCQEKgQtBC0EKwQnBB8EFgQKA/4D7wPhA9EDwgOzA6UDlgOJA3wDbwNjA1cDSwM+AzEDJAMWAwcC9wLnAtYCxAKzAqECkAKAAnACYgJVAkoCQAI3AjACKgIlAiECHQIZAhYCEQIMAgYCAAH4Ae8B5gHcAdIBxwG9AbQBqwGkAZ0BmAGVAZIBkQGRAZIBlAGXAZkBnAGfAaIBpAGmAakBqwGtAa8BsQG0AbYBuAG6AbsBvAG8AboBtwGyAawBowGYAYsBfAFrAVoBSAE1ASMBEgEBAPIA5ADXAMwAwgC5AK8ApgCbAJAAgwBzAGIATwA5ACEACP/u/9T/uv+h/4r/df9i/1P/Rv88/zX/Mf8v/y7/Lf8u/y3/LP8p/yT/HP8S/wT+9P7h/sv+s/6Y/nr+W/46/hf98/3O/aj9gf1a/TP9DPzm/L/8mvx1/FH8LvwN++z7zfuw+5T7eftf+0f7L/sZ+wP67vrY+sP6rfqW+n76ZfpJ+iz6DPnp+cP5m/lx+UT5Ffjl+LX4hfhW+Cn3/vfX97P3lPd592L3UPdB9zX3K/cj9xv3E/cJ9v728fbh9s72ufah9oj2bfZS9jj2HfYE9e311/XC9a/1nfWK9Xj1ZPVP9Tj1HvUB9OH0v/Sb9HT0TfQl8/7z2POz85DzcPNT8zjzH/MH8vLy3PLH8rHymvKC8mnyTvIy8hTx9vHY8brxnfGA8WXxS/Ey8RvxBfDv8NrwxvCy8J3wiPBz8F7wSPAz8B/wC+/47+fv2O/K777vs++q76Lvmu+T74zvhO9873LvaO9d71DvQ+817yfvGO8I7vnu6e7Y7sjutu6j7o7ueO5g7kbuKe4L7evtyu2n7YXtYu1A7R/tAOzk7Mnssuyd7Ivse+xt7GHsVexK7EDsNewp7BzsDuv/6+7r3OvJ67XroOuK63XrX+tI6zLrHesH6vPq3+rM6rnqp+qX6ofqeOpr6l/qU+pJ6kDqOOox6irqJOof6hrqFeoR6g7qC+oJ6gjqCeoK6g3qEeoX6h7qJuov6jnqQupM6lXqXOpj6mnqbepw6nPqdep46n3qg+qM6pfqp+q66tDq6usH6yTrQutg63rrkeuj66/rs+uw66Xrkut561nrNusP6ufqweqd6n3qY+pQ6kTqQOpD6k7qXupz6ozqp+rD6t7q+OsO6yLrMes960TrSetJ60jrROs/6zrrNOsv6yrrJusi6x/rHesb6xnrF+sU6xLrEOsN6wrrCOsF6wTrA+sC6wPrBesH6wrrDesR6xTrF+sZ6xrrGesX6xTrDusG6v3q8urm6tnqy+q96q7qoOqS6oTqd+pr6mDqVupM6kPqOuoy6irqIuoa6hPqDOoG6gDp+un26fLp8Onv6e/p8enz6ffp++oB6gbqDOoR6hbqGuoe6iHqIuoj6iPqIuog6h7qHOoa6hjqFuoU6hTqE+oT6hTqFeoX6hjqGuoc6h7qH+oh6iPqJOol6ibqJ+oo6inqKeop6irqKuoq6irqK+os6i3qL+oy6jbqO+pB6kjqUepb6mbqcup+6ozqmuqo6rbqxOrS6t/q7Or46wPrDusY6yHrKesx6zfrPetB60PrROtD60DrO+s16yzrIusX6wvq/+rz6unq4OrZ6tXq1erY6t/q6er46wnrHes060vrY+t665Drpeu368fr0+vd6+Xr6uvt6+/r8evz6/Xr+Ov97APsCuwT7BzsJuwv7DfsPuxC7ETsQ+w/7DjsLuwj7BXsB+v56+3r4+vb69jr2evf6+rr+uwP7CjsRexk7IXsqOzK7OztDO0q7UXtXu107YftmO2n7bXtwe3N7dnt5e3y7gDuEO4g7jLuRu5a7nDuhu6d7rTuzO7l7v3vFe8t70XvXe9074vvoO+178nv2u/r7/nwBvAR8BnwIfAm8CvwL/Ay8DbwOfA+8EPwSvBS8FzwZ/Bz8IDwjvCd8KzwvPDM8Nvw6/D78QzxHPEu8T/xUvFl8XnxjfGh8bbxyvHd8e/x//IO8hryJfIt8jPyOPI78j3yP/JC8kXySfJP8lbyX/Jr8nfyhvKV8qXytPLD8tHy3vLo8vHy9/L78v3y/fL68vfy8vLs8uby3/LZ8tTyz/LM8sryy/LN8tLy2fLj8u/y/vMP8yLzNvNL82DzdvOK857zr/O/88zz2PPh8+nz8PP38/70B/QR9B30LPQ+9FL0afSC9J30uPTT9O71B/Ue9TT1R/VZ9Wr1evWL9Z31sfXJ9eX2BfYp9lH2fPap9tj3Bfcx91r3gPeh97331Pfp9/v4DPgf+DX4UPhy+Jz4zvkJ+U35lvnk+jP6gPrH+wT7NPtU+2D7V/s5+wX6vfpi+fj5hPkI+Ir4DveZ9y/20/aI9k/2KfYV9hP2IfY89mH2jfa99u/3H/dL93H3kfep97n3wffC9733s/em95b3hPdy92H3UfdD9zf3Lvco9yX3JPcn9y33NvdB91D3Yfd094r3ofe699P37fgG+B/4NvhK+F34bfh7+Ib4jviU+Jn4nPie+KD4ovil+Kn4r/i3+MD4y/jY+Ob49PkC+RH5Hvkr+TX5PvlF+Un5S/lM+Ur5SPlE+UD5O/k4+TX5M/kz+TX5OPk9+UT5S/lT+Vz5ZPls+XP5ePl8+X75f/l/+X35evl3+XP5cflv+W75b/ly+XX5e/mB+Yn5kPmX+Z75o/mn+an5qfmn+aT5oPmb+Zb5kvmQ+Y/5kfmW+Z/5qvm4+cn53Pnx+gb6G/ov+kH6Ufpf+mn6cPp0+nT6cvpt+mX6XPpS+kf6O/ow+iX6G/oR+gn6Avn8+fj59vn1+ff5+fn++gP6CvoS+hr6I/or+jP6OvpB+kf6TPpR+lf6Xfpk+m76evqK+p/6t/rU+vb7HPtF+3D7nfvJ+/T8HPw//F38dfyF/I78j/yK/H/8b/xb/EX8LvwY/AT78/vn+9/72/vd++L77Pv4/Ab8Fvwm/DX8Q/xP/Fn8Yfxo/Gz8b/xx/HP8dPx3/Hr8fvyE/Iv8k/yc/KX8sPy6/MX8zvzY/OH86fzw/Pf8/f0D/Qn9D/0V/Rv9Iv0o/S/9Nv0+/UX9TP1S/Vn9X/1k/Wr9b/10/Xj9ff2D/Yj9jv2U/Zv9of2o/a/9tf26/b/9xP3H/cr9y/3N/c79z/3R/dP91v3b/eH96f3y/f3+Cf4V/iL+L/48/kf+Uv5b/mP+av5w/nb+e/6B/oj+kP6Z/qX+s/7C/tL+5P71/wb/Ff8i/yv/Mf8y/y//KP8e/xD+//7u/pb+hv55/m7+Z/5k/mb+bP53/oX+l/6r/sD+1/7t/wP/F/8q/zr/Sf9W/2H/av9z/3v/hP+M/5X/oP+q/7b/wv/P/9z/6v/2AAMADwAaACQALgA3AD8ASABRAFoAYwBtAHgAhACQAJ0AqgC3AMUA0gDeAOsA9gEBAQsBFgEfASgBMgE7AUQBTgFYAWIBbAF1AX8BiAGQAZcBnQGjAacBqgGuAbABswG3AbsBwAHHAdAB2wHnAfUCBQIVAiYCOAJIAlgCZgJyAnwCgwKHAokCiAKFAoECegJzAmwCZAJdAlcCUgJPAk0CTAJMAk0CTgJRAlMCVQJWAlcCWAJYAlcCVgJVAlMCUgJRAlECUQJTAlUCVwJbAmACZQJrAnECeAJ+AoUCiwKRApcCnAKgAqQCqAKrAq0CrwKxArICswK1ArYCuAK6Ar0CwALFAsoC0QLYAuAC6gLzAv0DCAMRAxsDIwMrAzIDNwM6AzwDPQM8AzoDNwM0AzEDLQMqAyYDJAMjAyIDIgMjAyYDKQMtAzIDNwM+A0UDTQNWA2ADagN1A4EDjgOcA6oDuQPHA9YD5APxA/4ECQQSBBoEHwQiBCMEIgQfBBkEEgQJA/4D8gPmA9gDygO7A6wDnQONA34DbQNcA0wDOgMoAxUDAwLvAtwCyQK1AqICkAJ+Am0CXQJPAkICNgIrAiICGgITAg0CCAIEAgEB/QH6AfcB8wHwAesB5wHiAdwB1gHQAckBwwG8AbYBrwGqAaQBoAGcAZkBlwGWAZYBlwGYAZsBngGjAagBrgG0AboBwQHIAc8B1QHbAeAB5AHmAegB5wHkAd8B2AHQAcUBuAGqAZoBiQF3AWYBVAFCATIBIgETAQYA+gDvAOQA2wDRAMcAvQCxAKUAlgCGAHQAYABLADQAHAAE/+v/0v+7/6X/kP9+/23/X/9U/0r/Q/89/zn/Nf8y/y//K/8m/yD/F/8N/wD+8P7e/sn+sv6X/nv+W/45/hb98P3J/aH9d/1N/SP8+fzP/Kf8f/xZ/DT8Evvx+9P7t/ud+4X7b/ta+0b7NPsj+xL7Afrv+t36yvq2+qD6iPpu+lL6NPoT+fD5yvmj+Xr5UPkk+Pj4zfii+Hj4T/gp+AX34/fE96j3jvd292D3TPc49yX3Efb99un21Pa+9qb2j/Z29l72RfYu9hf2AfXt9dr1yPW39af1l/WG9XX1Y/VO9Tf1HvUC9OT0w/Sg9Hz0V/Qx9Azz5/PE86PzhPNm80vzMvMa8wPy7fLX8sHyqvKT8nryYfJG8iryDvHx8dTxuPGc8YDxZvFN8TTxHPEF8O/w2fDE8K7wmfCD8G7wWfBE8C/wHPAJ7/jv5+/Z78zvwO+2763vpe+e75jvke+L74PvfO9z72rvYO9V70jvO+8s7x3vDO767ufu0+697qbuje5y7lbuOO4Z7fnt2O237ZXtc+1T7TPtFez47N3sxOyu7Jnshux27GbsWOxL7D/sM+wn7BvsDuwB6/Pr5OvU68Prseue64vrduti603rOOsk6xDq/Orp6tfqx+q46qrqnuqU6orqg+p86nfqcupu6mrqZ+pj6mDqXepa6lfqVOpS6lHqUepS6lPqV+pb6mDqZupt6nTqeuqA6oXqiOqL6ozqjOqM6ovqi+qM6o7qk+qb6qbqterI6t7q9+sR6y3rSOth63jrieuV65rrmOuN63zrY+tD6x/q9+rN6qPqe+pX6jjqH+oO6gXqBOoL6hnqLepH6mTqhOqk6sTq4ur+6xfrK+s860jrUetX61rrW+ta61nrV+tV61PrUetQ607rTetL60nrR+tE60HrPes56zXrMesu6yvrKeso6ynrKust6zDrNOs56z3rQOtC60PrQus/6zrrM+sq6x/rEusF6vbq5+rY6srqvOqu6qLql+qM6oPqeupy6mrqYupb6lTqTepG6j/qOOoy6i3qKeom6iTqJOol6ifqKuov6jTqOeo+6kPqR+pK6k3qTupO6kzqSupH6kTqQeo+6jzqOuo56jrqO+o+6kHqRepJ6k3qUepU6lbqV+pY6lbqVOpR6k3qSOpD6j7qOuo26jPqMeox6jHqM+o36jvqQOpH6k7qVepd6mXqbup26n7qh+qQ6pjqoeqq6rPqvOrF6s/q2erj6u3q+OsC6w3rF+sh6yvrNOs960TrSutP61LrU+tS607rSetC6znrLusi6xbrCur+6vTq6+rl6uLq4urm6u7q+esJ6xvrL+tG617rduuO66XruuvO697r7Ov36//sBOwI7ArsC+wL7AzsDOwO7BDsFOwY7B7sI+wp7C/sM+w27DjsN+w17DDsKuwi7BnsD+wG6/7r9+vz6/Hr8+v57APsEOwh7DbsTuxn7IPsoOy87Nns9O0P7SftPu1S7WXtdu2F7ZTtoe2u7bvtyO3W7eXt9O4F7hfuKu4+7lTuau6B7pnuse7J7uHu+e8R7yfvPu9T72fveu+L75vvqO+077/vyO/P79bv2+/g7+Xv6e/v7/Tv+/AE8A3wGPAk8DLwQfBQ8GDwcfCC8JLwo/C08MTw1PDk8PXxBfEX8SjxO/FO8WLxd/GN8aLxt/HM8eDx8/IE8hPyIfIt8jfyP/JG8kvyUPJV8lryX/Jl8mzydfJ+8onylvKj8rDyvvLM8tny5fLw8vrzAfMH8wrzDPML8wnzBPL/8vjy8fLq8uPy3fLY8tXy1PLW8try4vLs8vrzCvMc8zHzR/Ne83Xzi/Oh87XzyPPY8+bz8vP99Ab0D/QX9CH0LPQ49Ef0WPRs9IL0mfSy9Mz05vUA9Rj1LvVD9VX1ZvV19YT1k/Wj9bX1yvXi9f72H/ZD9mv2lvbC9u73GvdE92v3jfes98b33ffw+AL4FPgo+ED4XviD+LH45/km+W35uvoK+lv6qfrx+y77XPt6+4T7ePtV+xz6zvpt+fz5f/j7+HT37/dx9v32mPZF9gT12PW/9bn1xfXf9gX2M/Zm9pz20PcB9yz3T/dr9333h/eJ94T3efdp91f3Qvcu9xr3B/b39ur24Pba9tf22Pbb9uP27fb69wv3Hfcz90r3ZPd/95v3uPfW9/L4Dvgp+EH4V/hp+Hn4hfiO+JT4mPiZ+Jn4l/iV+JT4lPiV+Jj4nfik+K34uPjF+NL44fjv+Pz5CfkU+R35I/ko+Sr5Kvko+SX5Ifkc+Rj5FPkR+Q/5D/kQ+RP5F/kc+SL5KPku+TT5Ofk9+UD5QflB+UH5P/k9+Tv5Ofk3+Tb5N/k5+Tz5QPlF+Uz5UvlZ+V/5ZPlo+Wv5bflu+W35bPlr+Wn5aPlo+Wr5bvl1+X75ifmY+aj5uvnO+eL59voK+h36Lvo9+kn6U/pZ+l36Xfpb+lX6TvpF+jv6L/oj+hf6C/oA+fX57Pnl+d/52/nZ+dn52/ne+eP56fnx+fj6APoI+hD6Fvod+iP6KPou+jT6O/pD+k36W/pr+n/6l/qy+tH69PsY+z77ZfuL+677zvvq/AD8EPwZ/Bv8F/wN+/376vvT+7v7o/uM+3j7Z/tb+1T7UvtW+177avt6+437ovu3+8z74Pvz/AT8Evwe/Cj8MPw1/Dr8PfxA/EP8RfxI/Ez8UPxV/Fr8YPxm/G38c/x6/ID8hvyN/JP8mfyf/KX8q/yx/Lf8vfzD/Mj8zvzT/Nj83Pzf/OP85fzo/Ov87fzw/PP89/z7/QD9Bv0N/RT9G/0i/Sn9MP03/T39Qv1G/Un9TP1P/VL9Vf1Z/V39Y/1q/XP9ff2I/ZT9ov2v/b39y/3Y/eT97/35/gL+Cf4R/hj+H/4n/jD+Ov5G/lT+Y/50/ob+mf6r/rz+y/7Y/uH+5v7o/uX+3v7U/sb+t/6m/mD+VP5K/kP+P/4//kL+Sf5T/mH+cf6E/pj+rP7B/tX+6P75/wn/GP8k/y//Ov9D/0z/VP9d/2f/cf98/4f/k/+g/63/uv/H/9P/4P/r//YAAQALABQAHgAnADAAOgBEAE4AWQBkAHAAfACIAJQAoACrALYAwQDLANUA3wDpAPIA+wEFAQ8BGQEjAS0BNwFCAUwBVQFeAWcBbgF1AXoBgAGEAYgBjAGRAZUBmwGiAaoBswG9AckB1gHkAfMCAgIQAh4CKwI3AkECSQJPAlQCVgJWAlUCUwJPAksCRwJDAj8COwI5AjcCNQI1AjUCNQI2AjYCNwI3AjcCNwI2AjQCMgIwAi4CKwIpAicCJQIkAiMCIwIjAiQCJgIoAisCLgIxAjUCOQI+AkICRgJLAk8CUwJXAlsCXwJjAmcCawJvAnMCeAJ9AoICiAKPApYCngKnArACugLEAs4C2ALiAusC8wL7AwEDBgMKAw0DDgMOAw0DCwMIAwUDAgL+AvsC+QL2AvUC9AL0AvUC+AL7Av8DBAMKAxIDGgMjAy4DOQNFA1IDYANvA34DjQOdA6wDuwPJA9cD4wPtA/YD/gQDBAYEBwQHBAQEAAP6A/ID6QPfA9QDxwO6A6wDngOOA34DbgNdA0wDOgMpAxcDBALzAuECzwK/Aq4CngKQAoICdAJoAl0CUgJJAkACNwIvAigCIQIaAhQCDgIIAgIB/QH4AfMB7gHqAeYB4gHeAdoB1gHSAc8BywHHAcQBwAG9AboBuAG2AbUBtAG1AbYBuQG8AcEBxwHNAdQB2wHiAeoB8AH2AfsB/gIAAf8B/QH5AfIB6QHfAdIBxAG1AaUBlQGEAXQBYwFUAUUBNwEqAR4BEwEJAP4A9ADqAOAA1QDJALsArQCdAIwAegBmAFEAPAAnABH//P/n/9L/wP+u/53/j/+B/3X/a/9i/1n/Uv9L/0T/Pf81/y3/I/8Y/wv++/7p/tX+vv6j/ob+Zv5E/h799/3N/aP9dv1K/R388fzG/Jz8dPxO/Cv8Cvvs+9H7uPuh+437evto+1f7Rvs1+yT7Efr++un60/q7+qH6hvpq+kz6LPoM+er5yPmm+YP5YPk9+Rv4+fjY+Lf4l/h4+Fr4Pfgg+AX36vfP97X3m/eB92f3Tfcz9xj2/fbj9sj2rfaS9nj2X/ZG9i/2GPYC9e712vXG9bL1n/WL9Xb1YPVJ9TD1FvT69Nz0vfSd9H30W/Q69Brz+vPb873zofOG82zzU/M78yTzDfL28t/yyPKw8pfyffJi8kfyK/IP8fPx1/G78Z/xhPFq8VDxN/Ef8Qfw7/DY8MHwq/CV8H/wavBW8EPwMPAf8A/wAO/z7+jv3u/V783vxu/A77rvtO+u76fvn++X743vgu9272jvWe9J7zfvJO8Q7vvu5e7P7rfunu6F7mruT+4z7hft+u3d7b/tou2F7WftS+0v7RTs+uzh7MrstOyf7Ivseexo7FnsSuw87C7sIewV7Ajr++vt69/r0evB67HroOuO63zraetW60PrMesg6w/rAOry6ufq3OrV6s7qyurH6sbqxerG6sfqyOrJ6srqyurK6srqyerI6sfqxurF6sXqxerF6sbqyOrJ6svqzOrO6s/q0OrR6tHq0erS6tPq1erZ6t7q5urw6vzrC+sb6y3rQOtT62XrdOuB64nri+uI63/rbutY6zvrGerz6srqoOp26k7qKuoK6fHp4OnW6dTp2enn6fvqFOoy6lLqdeqX6rnq2er36xDrJ+s560nrVOtd62PraOtr623rbutv62/rb+tw62/rb+tt62zraetm62LrXetZ61TrUOtN60vrSutL603rUOtU61nrX+tk62nrbetv63Drbutq62TrW+tQ60PrNesl6xbrBur26ufq2urN6sLquOqv6qfqoOqZ6pPqjeqH6oDqeupz6mzqZupg6lvqWOpV6lPqU+pV6ljqXOpg6mXqa+pw6nTqd+p56nrqeep36nPqb+pq6mXqYepc6lnqWOpX6ljqW+pe6mPqaepu6nTqeOp86n7qfup96nrqdupw6mnqYupb6lTqTupK6kfqR+pI6kzqU+pb6mXqcep+6ozqmeqn6rTqwOrL6tTq3Orj6unq7ury6vXq+Or76v7rAusG6wvrEusY6yDrKOsx6znrQutK61LrWOte62HrY+tj62HrXetX61DrSOs+6zTrKush6xnrE+sQ6w7rEOsV6x3rKOs260frWutv64Xrm+ux68br2uvs6/zsCewU7B3sI+wo7CrsLOws7CzsLOws7CzsLewu7C/sMewz7DXsNuw27DbsNewy7C/sK+wm7CHsHOwY7BXsE+wU7BfsHewl7DHsQOxR7GXse+yT7Kzsxezf7PjtEO0o7T3tUe1k7XXthO2S7Z/tq+237cPtz+3b7ent9+4H7hjuK+4/7lXua+6D7pzute7P7unvAu8b7zPvSu9f73PvhO+U76Lvre+2777vxO/J78zvz+/S79Xv2O/c7+Hv6O/w7/rwBfAR8B/wLvA98E3wXvBu8H/wj/Ce8K7wvfDM8Nvw6vD68QrxG/Et8UDxU/Fn8XzxkfGm8brxzvHh8fLyAvIQ8hzyJ/Iw8jjyPvJE8kjyTfJR8lXyWvJg8mfybvJ28oDyivKU8p/yqvK08r7yx/LP8tby2/Le8uDy4PLf8tzy2fLU8tDyzfLK8sjyyfLL8tHy2fLk8vLzA/MW8yzzQ/Na83LzivOh87fzy/Pd8+3z/PQJ9BX0IfQs9Dj0RvRU9GX0d/SL9KH0uPTQ9Oj1APUX9S31QvVV9Wf1d/WH9Zb1pvW39cv14fX69hj2OPZc9oP2rPbX9wH3K/dS93b3l/ez98z34ff0+AX4Fvgo+D74WPh5+KD4zvkD+T/5f/nC+gX6RvqA+rH61/rt+vL65frE+pD6Svn0+Y/5Ifit+Db3wPdQ9ur2kPZF9gr14fXK9cP1y/Xg9gD2J/ZT9oH2r/ba9v/3H/c390j3UvdV91H3Sfc99y/3IPcQ9wH29Pbp9uH23PbZ9tn22/bh9uj28fb99wr3Gfcq9z33Ufdo93/3mPey98z35vgA+Bj4L/hD+FX4ZPhw+Hn4fviB+IH4f/h8+Hn4dfhy+HH4cvh1+Hr4gfiL+Jf4pfi0+MP40vjg+O34+fkC+Qn5DvkQ+RD5D/kM+Qj5A/j++Pr49vjz+PH48fjx+PP49fj4+Pv4/vkB+QP5BPkF+QX5BfkE+QP5AvkB+QD5APkB+QP5BvkJ+Q75E/kY+R35Ivkn+Sv5Lvkx+TT5Nvk4+Tr5PflB+Ub5TPlU+V75avl4+Yf5mfmr+b750vnm+fn6C/ob+ir6NvpA+kf6TPpN+kz6SPpC+jr6MPol+hn6DPoA+fP56Pnd+dT5zfnH+cT5wvnD+cX5yfnO+dT52/nj+er58vn6+gH6CPoP+hb6Hvon+jD6PPpJ+lj6afp7+pD6p/q++tX67PsC+xb7KPs2+0D7RvtI+0X7P/s1+yn7G/sM+v368Prl+t362PrY+tz65frx+wL7Fvss+0T7Xvt3+4/7p/u8+8/74Pvu+/r8AvwJ/A78EfwT/BT8FPwU/BT8FPwU/BX8FvwX/Bn8HPwf/CL8J/wr/DH8N/w+/EX8TfxV/F38Zfxt/HX8fPyC/If8jPyQ/JL8lPyW/Jf8mPyZ/Jv8nPyf/KP8qPyt/LP8uvzC/Mr80fzZ/OH86Pzv/Pb8/P0C/Qj9Dv0V/Rz9JP0t/Tf9Qf1N/Vn9Zv1y/X/9i/2W/aH9q/2z/bz9w/3L/dL92v3j/ez9+P4E/hP+Iv4z/kT+Vf5m/nb+g/6P/pf+nf6e/p3+l/6Q/oX+ef5t/hv+Fv4S/hD+Ef4U/hr+JP4v/j3+Tf5f/nH+g/6W/qj+uf7J/tf+5f7x/vz/B/8Q/xr/JP8u/zj/Q/9O/1v/Z/90/4H/jv+b/6j/tP+//8r/1P/e/+f/7//4AAAACQASABsAJAAuADkARABPAFoAZQBxAHwAhwCSAJwApgCxALsAxQDPANkA4wDtAPgBAgEMARcBIQErATQBPQFFAU0BVAFbAWIBaAFuAXUBewGCAYoBkgGbAaUBsAG7AccB0wHeAeoB9gIAAgoCEwIbAiECJwIrAi8CMQIzAjQCNQI1AjYCNgI3AjcCOAI4AjkCOQI6AjkCOQI4AjYCMwIwAiwCKAIiAh0CFwIQAgoCAwH9AfcB8QHtAegB5AHhAd8B3gHdAd4B3wHgAeMB5gHqAe8B8wH5Af8CBQIMAhICGgIhAikCMgI6AkMCTQJXAmECbAJ3AoECjQKXAqICrAK1Ar4CxQLMAtIC1gLZAtsC3ALbAtoC2ALWAtMC0ALMAskCxwLEAsICwQLAAsACwQLDAsUCyALMAtEC2ALfAucC8QL8AwgDFQMjAzMDQwNUA2YDdwOJA5oDqwO7A8kD1gPhA+oD8QP2A/gD+QP3A/ID7APjA9kDzgPBA7MDpAOUA4QDcwNiA1IDQQMxAyEDEgMDAvUC5wLaAs4CwQK1AqoCngKTAocCfAJwAmQCWAJMAj8CMwInAhwCEQIGAf0B9QHtAecB4gHeAdwB2gHZAdkB2QHZAdoB2gHaAdoB2gHZAdgB1wHWAdUB1AHUAdUB1gHYAdsB3gHiAeYB6wHwAfUB+QH8Af4B/wH+AfsB9wHyAeoB4QHXAcwBvwGyAaUBlwGKAX0BcAFjAVgBTQFCATgBLgEkARoBEAEGAPsA7wDjANUAyAC5AKkAmACHAHYAZABRAD8ALAAaAAj/9v/l/9T/xP+1/6f/mf+M/4D/dP9p/17/VP9J/z3/Mf8k/xX/Bf7z/t7+xv6r/o3+bf5J/iP9+v3P/aL9df1H/Rn87PzA/Jf8cPxL/Cr8DPvw+9f7wfut+5r7ift4+2b7VPtB+yz7Fvr++uP6x/qp+or6afpI+ib6BPnj+cL5ovmD+WX5Sfku+RT4+/jj+Mv4tPid+Ib4b/hX+D/4J/gN9/P32Pe996H3hfdo90z3L/cT9vb22va/9qP2iPZu9lT2O/Yh9gj17/XW9b31o/WJ9W71U/U49Rv0//Th9MT0pvSJ9Gz0T/Qz9Bfz/fPj88rzsfOa84PzbPNV8z/zKPMR8vny4fLI8q/ylfJ68l/yQ/Io8gzx8PHU8bnxnfGC8WjxTvE18RzxA/Dr8NTwvfCo8JPwf/Bs8FrwSfA68CzwIPAU8ArwAu/57/Lv6+/k79zv1O/M78PvuO+s76Dvke+C73HvYO9O7zrvJ+8T7v7u6e7U7r/uqu6V7n/uau5T7jzuJe4N7fTt2+3A7abti+1v7VPtOO0d7QLs6OzP7LjsouyN7HrsaOxY7EnsO+wu7CPsF+wM7ADr9Ovo69vrzeu+66/rn+uP63/rcOth61PrRus86zPrLOsn6yXrJesm6yrrLus06zrrQOtH603rUutW61jrWutb61vrWetX61XrUutP60zrSetG60TrQutC60HrQutD60brSetN61PrWeth62rrc+t964jrkuuc66Trquuu667rquuh65Trgeto60vrKOsC6tjqreqB6lXqLOoG6eTpyem06afpoemk6a7pvunV6fHqEeo06ljqfOqg6sHq4Or86xTrKes760nrVOtd62Trautv63Prdut6633rgOuC64TrheuG64XrhOuB63/re+t363Trcetu623rbetu63HrdOt5637rhOuK647rkuuU65TrkeuM64Xre+tw62LrVOtE6zTrJOsV6wfq+uru6uTq2+rU6s3qyOrC6r3quOqz6q7qqOqi6pzqluqR6ozqiOqF6oPqg+qF6ofqiuqP6pPqmOqc6qDqo+ql6qXqpOqh6p3qmeqU6o7qieqF6oLqgOp/6oDqguqF6orqj+qU6pnqnuqh6qPqpOqj6qDqm+qW6o/qiOqC6nzqeOp16nTqdup76oLqjOqZ6qfqt+rI6tnq6ur76wvrGesl6y/rN+s960HrQ+tE60PrQutA6z7rPes86zvrPOs960DrQ+tH60zrUOtV61nrXetg62LrYuth61/rXOtY61PrTutI60LrPus66zfrNus36zrrP+tH61HrXuts63zrjuuh67Trx+va6+zr/uwO7BzsKew07D3sRexL7E/sU+xV7FfsWOxY7FnsWexY7FjsV+xW7FTsUuxP7EzsSOxE7EDsO+w37DPsMewv7C/sMew17DzsROxQ7F7sbuyA7JTsquzA7Njs7+0G7R3tM+1I7Vvtbe197Yztmu2n7bPtvu3K7dbt4u3v7f3uDO4d7jDuQ+5Z7nDuiO6h7rvu1u7w7wvvJe8971Xva++A75Lvou+w77zvxu/N79Pv1+/a793v3+/g7+Lv5e/p7+3v8+/68APwDfAY8CTwMfA/8EzwWvBo8HXwgvCP8JvwpvCy8L7wyfDV8OHw7/D98QzxG/Es8T3xT/Fh8XTxhvGY8ajxuPHG8dPx3vHo8e/x9fH68f3x//IB8gLyBPIF8gfyCvIO8hPyGvIi8ivyNfI/8kvyV/Ji8m7yefKD8ozyk/Ka8p/ypPKn8qryrfKw8rTyufK/8sfy0vLe8u3y/vMQ8yXzOvNR82jzfvOU86rzvvPR8+Lz8/QC9BH0H/Qu9D30TfRf9HL0hvSc9LT0zPTl9P71FvUv9Ub1W/Vw9YP1lfWn9bj1yfXc9fD2BvYe9jn2V/Z49pv2wPbl9wv3MPdT93T3kvet98X32ffr9/v4C/ga+Cv4P/hW+HH4kPi0+Nz5CPk1+WL5jfm0+dX57fn8+f759Pnc+bf5hflI+QH4s/hg+Av3t/dn9xz22vah9nT2U/Y89jL2MfY59kj2XfZ19o72qPa/9tT25vbz9v33A/cG9wb3BPcB9v72+/b59vj2+fb89v/3BPcK9xH3F/ce9yX3K/cx9zf3PfdE90v3VPde92n3d/eH95j3q/e/99T36ff++BH4I/gz+ED4S/hT+Fj4W/hc+Fv4WfhX+FX4VfhV+Fj4XPhj+Gz4d/iE+JL4ofiw+L/4zfjZ+OT47fjz+Pf4+fj5+Pf48/jv+On45Pje+Nn41fjR+M74zfjL+Mv4y/jL+Mz4zPjN+M34zfjM+Mz4y/jK+Mn4yPjH+Mf4x/jI+Mn4yvjM+M740PjS+NX42Pjb+N744vjm+Ov48fj4+QD5CvkW+SP5MvlD+VX5afl++ZT5qfnA+dX56vn++hD6IPou+jj6QfpG+kj6SPpF+j/6N/ot+iH6FPoG+fj56vnc+dD5xfm7+bP5rfmq+aj5qPmq+a75s/m6+cH5yvnS+dv55Pnt+fb5/voH+g/6F/of+if6L/o3+j76RfpL+lD6VPpX+lj6WPpW+lP6TfpH+kD6OPow+ir6JPoh+h/6Ifom+i/6PPpN+mH6ePqS+q76zPrr+wr7KPtF+2H7evuR+6X7tvvE+8/71/vd++H74/vj++H73/vb+9f70/vO+8r7xfvB+777u/u5+7j7uPu6+737wvvI+8/71/vh++v79vwB/Az8Fvwg/Cn8Mfw3/Dz8QPxD/EX8RvxH/Ej8SPxK/Ev8TfxR/FX8Wvxf/Gb8bfx0/Hz8hPyM/JX8nfym/K78t/zA/Mr80/ze/Oj88/z//Qr9Fv0h/Sz9N/1B/Uv9VP1d/WX9bf11/X39hv2P/Zn9pP2x/b79zP3b/er9+f4I/hX+If4r/jP+OP46/jv+OP40/i/+KP4i/cb9xf3H/cr9zv3V/d796f32/gT+E/4k/jT+Rf5W/mb+df6E/pH+nv6q/rX+v/7J/tT+3v7p/vT+//8L/xj/Jf8y/z//TP9Y/2X/cP97/4b/j/+Y/6D/qP+w/7j/v//H/9D/2P/i/+z/9gABAAwAFwAjAC8AOgBGAFEAXABnAHEAewCFAI8AmACiAKsAtAC9AMcA0ADZAOIA6wD0AP0BBQEOARYBHwEnATABOAFBAUoBUwFdAWcBcQF8AYYBkQGcAaYBsQG7AcQBzQHWAd4B5QHrAfEB9wH8AgACBAIIAgsCDgIRAhMCFQIXAhgCGAIYAhgCFgITAhACCwIGAf8B+AHwAecB3QHUAcoBwAG2Aa0BpAGbAZQBjQGIAYMBgAF+AX0BfQF/AYEBhQGJAY8BlQGcAaQBrQG2AcABygHVAeAB7AH4AgUCEgIfAi0COgJIAlQCYQJtAngCggKLApMCmgKgAqQCpgKoAqkCqAKnAqUCowKhAp4CnAKZApcClQKUApMCkwKTApMCkwKUApYClwKZApwCnwKkAqkCsAK3AsECzALaAugC+QMMAx8DNQNLA2EDeAOPA6QDuQPMA9wD6gP1A/0EAgQEBAID/QP1A+oD3QPOA70DqwOYA4UDcgNfA00DPAMsAx0DDwMDAvcC7ALiAtgCzQLDArgCrQKgApMChAJ0AmQCUwJBAi8CHQILAfoB6gHcAdABxQG8AbYBsgGvAa8BsAGzAbcBuwHAAcQByQHNAdEB1AHXAdkB2gHbAdsB3AHcAdwB3gHfAeAB4wHlAegB6wHtAe8B8QHxAfEB8AHtAekB5AHeAdcBzgHFAbsBsQGnAZ0BkwGJAX8BdgFtAWUBXAFUAUwBQwE6ATABJgEbARABBAD2AOkA2gDMALwArACcAIwAewBrAFoASQA4ACcAFgAF//T/4//T/8L/sv+j/5P/hf92/2j/Wv9M/z7/MP8g/xD+/v7q/tT+vP6h/oP+Yv4+/hf97/3E/Zj9av09/RD85Py5/JH8bPxJ/Cn8DPvy+9v7xvuz+6H7kPt++2v7WPtD+yz7Evr2+tn6uPqX+nT6UPos+gj55fnC+aL5g/ll+Ur5MPkY+QL47fjZ+MX4sfie+Ir4dfhf+Ej4MfgY9//35PfK9673kvd391v3QPck9wn27vbU9rr2n/aF9mr2T/Y09hj1+/Xe9cD1ovWD9WT1RPUl9Qb05/TJ9Kv0jvRz9Fj0PvQl9A3z9vPf88rztPOf84rzdfNg80rzNPMd8wby7vLV8rzyovKI8m7yU/I48h3yAfHm8cvxsPGV8XvxYPFG8S3xFPD88OTwzvC48KTwkfB/8G7wX/BR8EXwOfAv8CbwHfAU8AzwBO/77/Lv6O/d79Hvw++176Xvle+E73LvX+9N7zrvJ+8V7wPu8e7f7s7uve6s7pvuie537mTuT+467iTuDO3z7djtve2g7YPtZu1I7SvtDuzy7Njsv+yo7JLsf+xu7F7sUOxD7DjsLewj7BrsEewH6/3r8uvn69vrz+vD67frrOuh65frj+uI64PrgOuA64LrhuuL65PrnOul67DruuvF687r1+ve6+Tr6Ovq6+vr6uvo6+Tr4Ovb69br0evM68jrxevD68Lrw+vF68nrz+vV69zr5evt6/Xr/ewD7AjsCuwJ7ATr+uvt69rrweuk64HrWusu6wDqzuqc6mrqOeoK6eDpu+mc6YTpdOls6WzpdOmD6ZnptenV6fnqH+pG6m3qkuq26tbq8+sN6yPrNetE61HrW+tj62vrcet363zrguuI647rk+uY653roeuk66brp+un66brpOuh65/rnOua65jrmOuY65rrneug66TrqOus66/rsuuz67Lrr+uq66PrmuuP64LrdOtm61frSOs66y3rIesW6wzrBOr96vfq8ert6ujq5Org6tvq1+rS6s3qyerE6sHqvuq86rrquuq86r7qwerE6sjqzOrQ6tPq1urX6tfq1urU6tHqzerI6sPqv+q76rfqteq16rXqt+q56r3qwurH6svq0OrT6tXq1urW6tTq0erN6snqw+q+6rrqt+q16rXqt+q86sPqzOrX6uTq8+sD6xPrI+sy60HrTuta62Tra+tx63Xrdut363brdOtx627ra+to62XrY+th61/rXutd61zrW+tb61nrV+tV61PrT+tM60jrROtA6z3rOes36zbrN+s56z3rQutJ61PrXutr63nriOuZ66rrvOvO69/r8ewB7BHsIOwu7DrsRuxQ7FrsYuxp7HDsdex67H/sguyF7IjsieyK7IrsiuyI7Ibsgux+7Hrsdexw7GrsZexh7F3sW+xa7FvsXuxj7Grsc+x/7IzsnOyt7L/s0uzm7PntDe0g7TPtRO1V7WTtcu2A7Y3tme2l7bHtve3K7djt5+337gnuHO4x7kfuX+547pLuru7J7uXvAe8c7zbvT+9n73zvkO+i77LvwO/L79Xv3O/i7+fv6u/t7+/v8e/07/bv+e/98ALwCPAP8BfwH/Ap8DPwPfBI8FLwXPBm8HDwefCC8IrwkvCa8KHwqfCx8Lrww/DN8Nfw4/Dw8P3xCvEZ8SfxNvFE8VLxX/Fr8Xbxf/GH8Y3xkvGV8Zfxl/GX8ZfxlvGV8ZXxlvGY8ZvxoPGn8bDxuvHG8dPx4fHw8gDyEPIg8jDyP/JO8lzyafJ18oDyi/KW8qHyrPK38sTy0vLg8vDzAvMU8yfzOvNP82Pzd/OK853zr/PB89Lz4vPy9AL0EvQj9DT0R/Rc9HL0ivSj9L302fT19RH1LvVJ9WP1ffWU9av1v/XT9eb1+PYK9h32MPZF9lz2dPaP9qv2yPbn9wb3JfdD92H3fPeW9633wvfV9+b39fgE+BP4Ivgy+ET4V/ht+IX4nvi4+NL47PkD+Rf5J/kx+TX5Mvko+RX4/Pjc+LX4ivhc+Cv3+ffJ95r3bvdH9yT3Bvbt9tr2yva/9rf2svau9qz2qvap9qj2pval9qX2pfam9qj2rfaz9rz2yPbV9uT29PcF9xb3J/c290T3T/dY9173Yfdi92H3Xvda91b3UvdQ91D3UvdX92D3a/d594r3nPew98X32vft+AD4EPge+Cr4M/g5+D34P/g/+D/4Pvg++D/4QPhE+En4UPhZ+GT4cPh9+Ir4mPil+LH4vPjF+Mz40fjV+Nb41fjS+M74yfjD+L34t/ix+Kz4p/ij+J/4nPia+Jn4l/iW+Jb4lfiU+JP4kviQ+I74jPiK+If4hfiC+H/4fPh6+Hj4dvh1+HT4dfh2+Hn4ffiD+Ir4k/ie+Kv4uvjL+N748/kK+SL5PPlW+XH5jPmm+cD52Pnv+gT6Fvom+jL6PPpD+kb6RvpD+j36Nfoq+h76EPoB+fH54vnS+cP5tfmo+Z35lPmN+Yf5hfmE+YX5iPmO+ZT5nPml+a/5ufnD+c351/nf+ef57vnz+fb59/n3+fT57/no+d/51fnI+br5rPmc+Y35fvlw+WT5WvlT+U/5T/lT+Vv5aPl5+Y75p/nE+eP6Bfoo+kz6cfqU+rf61/r2+xH7KvtA+1P7Y/tv+3n7gfuG+4n7ivuK+4j7hfuB+337d/ty+2v7Zftf+1n7U/tO+0v7SPtH+0f7SftN+1L7Wvti+2z7d/uD+5D7nPuo+7P7vvvH+8/71vvb++D74vvk++X75vvm++f75/vo++n76/vu+/H79vv7/AD8B/wO/BX8Hfwl/C78OPxB/Ez8Vvxh/Gz8d/yD/I78mvyl/LH8vPzH/NH82/zl/O/8+f0D/Q39GP0j/S/9O/1I/Vb9ZP1x/X/9jf2Z/aX9sP24/cD9xf3J/cv9zP3L/cr9yP3H/X/9gv2F/Yr9kP2Y/aL9rf25/cb91f3k/fP+A/4S/iH+MP4+/kv+V/5j/m7+ef6D/o7+mP6j/q7+uf7F/tH+3v7q/vf/A/8Q/xz/KP8z/z3/R/9Q/1n/Yf9q/3H/ef+B/4n/kv+b/6T/rv+4/8P/zv/Z/+T/8P/7AAYAEQAcACYAMAA6AEMATABUAF0AZQBtAHUAfQCGAI4AlgCfAKcAsAC5AMIAzADVAN8A6QD0AP4BCQEUAR8BKgE1AUEBTAFXAWEBbAF2AYABiQGRAZoBoQGoAa8BtQG7AcABxQHKAc4B0QHUAdcB2QHaAdsB2wHaAdgB1QHSAc0BxwG/AbgBrwGlAZsBkAGFAXoBbwFlAVsBUgFJAUIBPAE3ATMBMQEwATEBMgE1ATkBPgFEAUsBUwFcAWUBbwF6AYYBkgGfAawBugHIAdcB5gH2AgUCFAIiAjACPQJKAlQCXgJmAm0CcgJ1AncCeAJ3AnYCdAJyAm8CbAJqAmgCZwJmAmYCZwJoAmoCbAJvAnECcwJ1AncCeQJ6AnwCfQJ/AoIChgKLApICmwKmArMCwwLVAuoDAQMaAzQDTwNrA4YDnwO4A80D4APvA/sEAgQGBAQD/wP2A+kD2QPHA7IDnQOHA3EDWwNHAzMDIgMSAwQC+QLuAuUC3ALVAs0CxQK8ArICpgKZAooCeQJmAlMCPgIoAhIB/AHoAdQBwgGyAaQBmgGSAYwBigGKAYwBkAGVAZwBowGqAbIBuQG/AcQByQHNAdAB0gHUAdUB1gHYAdkB2wHdAeAB4wHmAekB7QHvAfIB8wH0AfMB8QHuAekB5AHdAdUBzAHDAbkBsAGmAZ0BlAGLAYMBewF0AWwBZQFeAVYBTgFFATwBMQEmARoBDQD/APAA4QDRAMEAsQCgAJAAfwBuAF4ATQA9ACwAGwAL//r/6f/Y/8f/tv+m/5X/hf90/2T/VP9E/zT/I/8R/v/+6/7V/r7+pf6J/mv+Sv4n/gH92v2x/Yf9XP0x/Qf83fy1/I/8a/xK/Cz8EPv2++D7yvu3+6T7kvt/+2z7V/tB+yn7D/rz+tb6tvqV+nP6UPot+gr56PnG+af5iPlr+VD5Nvke+Qf48fjc+Mb4sfic+IX4b/hY+ED4J/gO9/T32ve/96X3i/dx91f3Pvcl9wz29Pbc9sP2qvaR9nf2XPZA9iT2BvXn9cj1p/WH9Wb1RfUl9QX05vTH9Kr0jvRz9Fr0QvQr9BXz//Pr89bzwvOu85rzhvNx81zzRvMv8xnzAfLp8tHyuPKf8oXybPJS8jjyHfID8ejxzfGz8ZjxffFj8UnxL/EW8P7w5vDQ8Lvwp/CV8IXwdvBo8FzwUfBH8D7wNfAt8CXwHPAT8Arv/+/z7+fv2e/K77rvqu+Z74fvde9k71LvQO8w7x/vD+7/7u/u4O7Q7sHusO6f7o3uee5k7k7uNu4d7gLt5u3J7avtje1u7VDtMu0V7Prs4OzH7LHsnOyK7Hnsa+xe7FLsSOw/7DbsLuwm7B/sF+wP7Afr/+v36/Dr6Ovi693r2evW69Xr1evY69zr4uvp6/Lr/OwH7BLsHewo7DLsPOxD7ErsTuxR7FLsUexP7EvsR+xB7DvsNewv7CnsJewi7CDsIOwh7CPsKOwt7DPsOew/7ETsSOxJ7EjsQ+w57CzsGOwA6+Lrv+uX62rrOusH6tLqnOpn6jTqBOnZ6bPplOl96W3pZulm6W/pf+mW6bPp1On56iDqSOpw6pbqu+rd6vvrFusu60LrU+th62zrdut/64brjeuU65vrouuq67HruevA68frzOvR69Xr1+vZ69jr2OvV69Pr0OvN68vryevI68jryOvJ68rrzOvO69Dr0evR68/rzOvI68Lruuuw66XrmeuM63/rcutl61jrTetC6zjrL+so6yHrHOsX6xPrD+sL6wjrBesC6v/q/er76vnq+Or46vjq+er76v7rAOsE6wfrCusN6xDrEesS6xLrEOsO6wvrB+sD6v/q++r36vXq8+ry6vLq8+r16vjq++sA6wTrB+sL6w3rD+sP6w7rDesK6wfrA+r/6vvq+Or16vTq9Or26vrq/+sG6w7rF+si6y3rOOtD607rWOth62nrcet263vrf+uB64PrhOuE64Prg+uC64Hrf+t963vreOt163Lrbetp62PrXetX61DrSetC6zzrN+sy6y/rLest6y/rM+s560HrTOtY62brdeuG65frqeu7683r3uvv6//sDuwc7CrsNuxB7EvsVOxd7GXsbex17H3shOyL7JLsmeyf7KTsqeyt7LDss+y07LTss+yx7K7squyn7KPsn+yc7JrsmeyZ7Jvsnuyk7KvstOy/7Mvs2Ozm7PTtA+0S7SHtL+087UntVO1f7Wntc+187YXtj+2Z7aXtse2/7c/t4e317gvuI+497ljude6T7rHu0O7v7w3vKu9G72DveO+O76LvtO/D79Dv2+/k7+zv8u/27/nv/O//8AHwA/AF8AjwC/AP8BTwGfAf8CXwLPAz8DvwQvBK8FHwWfBg8Gjwb/B18Hzwg/CK8JDwmPCf8Kfwr/C48MHwy/DV8ODw6vD18QDxC/EV8R/xKPEw8TfxPPFB8UTxR/FI8UjxSPFH8UXxRPFE8UPxRPFG8UnxTvFV8V3xaPF08YHxkPGh8bLxxPHX8erx/fIQ8iPyNfJH8lnya/J88o3ynvKw8sHy0/Ll8vjzC/Me8zHzRPNX82rzfPOO85/zr/O/887z3fPt8/30DvQf9DL0R/Rd9HX0j/Sr9Mj05vUE9SP1QvVg9X31mPWy9cr14fX19gj2GvYr9jv2TPZc9m72gfaV9qr2wfbZ9vL3DPcm90D3Wvdz94r3oPe198f32ffo9/f4BfgS+B/4Lfg6+Ej4Vvhl+HT4g/iR+J74qviz+Lr4vvi/+Lz4tvis+J74jfh6+GP4S/gx+BX3+ffc97/3oveF92j3TPcw9xX2+/bh9sn2svad9or2evZt9mP2XvZc9l/2ZvZx9oH2k/ap9sD22fby9wr3Ifc190f3VPde92T3Z/dl92H3WvdS90n3QPc59zP3MPcw9zT3OvdF91L3Y/d194n3nvez98f32vfr9/r4BvgP+Bb4G/gd+B/4H/ge+B74Hvgf+CH4Jfgr+DL4O/hG+FH4Xfhp+HX4gfiL+JT4nPih+KX4p/im+KX4ofic+Jb4kPiJ+IL4e/h0+G74aPhj+F74WvhX+FT4UvhP+E34S/hJ+Eb4RPhB+D34Ovg2+DL4Lvgq+Cb4I/gh+B/4H/gh+CT4Kfgx+Dr4R/hW+Gj4fPiS+Kv4xvji+QD5Hvk9+Vz5evmX+bP5zPnj+fj6CfoX+iL6Kfot+i76K/om+h76FPoI+fr56/nc+cv5u/ms+Z35jvmB+Xb5bPlk+V75WvlZ+Vn5W/lf+WX5bPl1+X/5ifmU+Z/5qvmz+bz5wvnH+cr5yfnG+cD5t/mr+Zz5i/l3+WP5Tfk3+SL5Dvj8+O344PjY+NX41vjc+Of49/kM+SX5Qflg+YL5pfnJ+ez6D/ow+lD6bPqG+p36sfrC+tD63Prl+uv68fr0+vf6+Pr5+vr6+vr5+vj69/r2+vX68/rx+u/67frs+ur66frp+ur67Prv+vP6+Pr/+wf7EPsb+yX7Mfs8+0f7Uvtd+2b7b/t2+337gvuG+4n7jPuN+4/7kPuQ+5H7kvuT+5X7mPub+577o/uo+677tfu9+8X7zvvX++H77Pv3/AL8Dvwa/Cb8Mvw9/En8Vfxh/Gz8ePyD/I/8mvym/LL8vvzL/Nj85vz0/QL9D/0d/Sv9OP1E/U/9Wf1i/Wn9b/10/Xf9ev17/Xz9ff1+/Vj9Wv1d/WL9Z/1u/Xf9gP2L/Zf9pf2z/cH90P3f/e79/P4K/hj+JP4x/jz+R/5S/lz+Zv5x/nv+hf6Q/pv+pv6x/r3+yf7V/uD+7P74/wP/Df8Y/yL/K/80/z3/Rf9N/1X/Xf9l/23/dv9//4f/kf+a/6T/rv+4/8P/zv/Y/+P/7f/4AAIADAAWACAAKgAzADwARQBOAFYAXwBnAHAAeACAAIkAkgCbAKQArgC3AMEAzADWAOEA7QD4AQMBDgEaASUBMAE6AUQBTgFYAWEBaQFxAXkBfwGGAYwBkQGWAZoBngGhAaQBpgGoAagBqAGmAaQBoQGcAZcBkAGJAYABdwFtAWMBWAFNAUIBOAEuASUBHQEVAQ8BCgEHAQUBBAEEAQYBCQENARIBGAEfAScBLwE4AUIBTQFXAWMBcAF9AYoBmAGnAbYBxQHUAeMB8gIAAg0CGQIkAi0CNQI8AkACQwJEAkQCQwJBAj4COwI4AjUCMgIxAjACMAIyAjQCOAI8AkACRgJKAk8CVAJXAloCXQJeAl8CXwJgAmACYgJkAmgCbwJ3AoMCkQKiArYCzQLmAwADHQM6A1YDcgOMA6QDuQPJA9YD3gPiA+AD2wPRA8MDsgOeA4kDcwNcA0YDMQMdAwwC/ALvAuUC3ALVAs8CygLGAsECuwK1AqwCoQKUAoUCdAJgAkwCNQIfAggB8QHcAcgBtwGoAZwBkwGNAYoBiQGLAZABlgGdAaUBrQG1Ab0BwwHJAc4B0gHVAdgB2gHbAd0B3gHhAeQB5wHsAfEB9gH9AgMCCQIOAhMCFgIZAhkCGAIVAhACCQIAAfYB6wHfAdMBxgG5AawBoAGVAYoBfwF2AW0BZAFcAVMBSgFBATgBLQEiARYBCQD7AOwA3QDNAL0ArACbAIoAegBpAFgARwA3ACcAFwAG//b/5v/W/8b/tf+k/5T/g/9y/2D/Tv88/yn/Fv8C/uz+1v6+/qX+iv5t/k/+Lv4M/en9xP2d/Xb9T/0o/QH82/y2/JP8cfxR/DT8GPv+++b70Pu6+6b7kft9+2j7Uvs7+yP7Cvrv+tT6tvqY+nn6Wvo6+hv5/Pnd+cD5o/mH+Wz5Ufk4+R/5B/ju+Nb4vvim+I34dPha+EH4J/gN9/P32fe/96b3jfd19133Rfcu9xb2//bo9tD2t/ad9oP2Z/ZL9i32D/Xw9dD1r/WO9W71TvUu9Q/08fTV9Lr0oPSH9HD0WfRE9C/0G/QH8/Tz4PPN87nzpPOQ83rzZfNP8zjzIvML8vPy3PLE8q3ylfJ98mTyTPIz8hnx//Hl8crxr/GU8XnxXvFE8SrxEfD58OLwzfC58Kfwl/CJ8HzwcfBn8F7wVvBP8EfwQPA48C/wJvAb8BDwA+/27+fv1+/G77Xvo++R73/vbe9c70rvOe8p7xjvCO747uju1+7G7rTuoe6N7nfuYe5J7jDuFe367d7twe2j7Ybtae1N7THtFuz97Obs0Oy87KrsmeyL7H7sc+xp7GDsWexS7EzsR+xC7D7sOuw27DLsL+wt7CvsKuwp7CnsK+wt7DDsNew67EDsRuxN7FXsXOxj7GrscOx17Hnse+x87Hzse+x47HPsbuxo7GHsWuxS7EzsRexA7DzsOew47DjsOuw87EDsROxI7EzsTuxO7E3sSOxA7DPsIuwM6/Hr0uuv64frXesv6wHq0uqk6njqT+oq6grp8ene6dLpzenP6djp6On96hfqNOpV6njqm+q+6uDrAOse6znrUetm63nriOuV66Drqeuy67nrwOvH687r1evc6+Pr6uvw6/br++wA7APsBewG7AbsBOwC6//r/Ov46/Tr8evu6+zr6uvo6+jr5+vn6+fr5uvl6+Pr4Ovc69br0OvI67/rtuur66DrleuK63/rdOtr62LrWetS60zrRutC6z7rO+s46zbrNOsz6zLrMusy6zLrM+s06zXrN+s56zzrPutB60PrRutH60nrSetJ60nrR+tF60LrP+s86znrNusz6zDrL+su6y7rL+sx6zPrNus56zzrP+tB60TrRetG60XrROtC60DrPes56zbrM+sw6y3rLOsr6yvrLOsv6zLrNus760DrRutM61LrWOte62Traetu63Prd+t763/rg+uG64nrjOuO65DrkuuT65LrkeuQ643rieuE637reOtw62nrYeta61PrTetI60TrQ+tD60brS+tR61rrZetx63/rjuue667rvuvO693r6+v57AXsEOwa7CPsLOwz7DvsQuxJ7FDsV+xf7GfscOx57IPsjeyX7KDsqeyy7LrswezG7Mvsz+zR7NPs1OzU7NTs1OzV7Nbs2Ozb7N/s5Ozr7PTs/e0I7RPtH+0r7TjtRO1P7VrtZO1t7XXtfO2C7Yjtju2T7Zrtoe2p7bPtv+3N7d7t8e4G7h7uOO5U7nLuke6x7tHu8e8R7zDvTe9o74Lvme+u78Dv0O/d7+jv8e/57/7wA/AG8AnwC/AN8A7wEPAS8BTwF/Aa8B3wIfAl8CnwLvAz8DjwPvBE8ErwUPBX8F7wZfBt8HXwfvCH8JDwmvCk8K/wuvDE8M/w2vDk8O7w9/EA8QjxD/EV8RvxH/Ei8STxJfEm8SXxJPEj8SHxH/Ed8RvxGvEZ8RnxG/Ed8SHxJ/Et8TbxQPFL8VjxZvF28YbxmPGq8b3x0fHl8fnyDvIj8jnyTvJk8nrykPKm8rzy0vLp8v/zFfMr80DzVPNo83vzjfOf87DzwPPQ89/z7/P/9A/0IfQ09Ej0XfR09I30p/TD9OD0/vUc9Tr1WPV19ZH1q/XE9dv18PYC9hP2I/Yy9j/2TfZa9mj2dvaG9pf2qfa99tL25/b+9xX3K/dC91f3bPd/95D3oPeu97r3xPfN99X33Pfi9+j37vf09/r4AfgI+A/4F/gf+Cb4Lfg0+Dn4Pfg/+ED4Pvg6+DT4K/gf+BH4APft99f3v/ek94j3avdL9yz3DPbt9s72sfaX9n/2avZZ9kz2RPZA9kH2R/ZQ9l72b/aC9pj2rvbF9tv27/cC9xL3H/co9y/3Mvcy9zD3LPcm9yD3G/cV9xL3EPcR9xX3G/cl9zD3P/dP92D3cveF95f3qPe498b30vfc9+T36vfu9/D38vfz9/P39Pf19/f3+vf++AT4C/gT+Bz4Jvgw+Dv4RfhO+Ff4Xvhk+Gj4avhr+Gr4Z/hi+F34VvhO+EX4PPgz+Cr4IfgY+BD4CfgD9/33+Pf09/D37ffq9+j35vfk9+L34Pfe99z32vfY99f31vfW99b32Pfb9+D35/fx9/z4Cvgb+C74RPhc+Hb4kviv+M747fkL+Sr5SPlk+X35lfmq+bz5yvnV+d354vnj+eH53fnW+c35wvm2+an5nPmO+YD5c/lm+Vr5T/lF+T35Nvkw+Sz5Kfkp+Sn5LPkw+TX5PPlE+U35V/li+W35d/mB+Yr5kfmW+Zr5mvmY+ZP5i/mA+XL5YvlP+Tv5JvkQ+Pv46PjW+Mf4u/i0+LD4svi4+MP40vjm+P75GPk1+VT5c/mS+bH5zvnp+gL6GPoq+jr6RvpQ+lf6XPpf+mH6Yvpi+mL6Y/pk+mb6afps+nH6dvp7+oL6iPqO+pT6m/qh+qb6rPqx+rb6u/rA+sb6zPrS+tn64Pro+vH6+vsD+w37Fvsg+yr7M/s8+0T7TPtT+1n7X/tk+2j7bPtv+3P7dft4+3z7f/uD+4f7jPuR+5f7nvul+637tvvA+8r71Pvf++v79vwC/A38Gfwk/C/8OvxF/FD8Wvxk/G/8efyE/I/8mvym/LL8v/zL/Nj85fzy/P/9C/0X/SL9LP01/Tz9Q/1I/Uz9T/1R/VP9VP1W/Tz9Pf0//UL9Rv1M/VL9Wv1j/W79ef2G/ZT9ov2w/b/9zf3b/en99v4D/g/+Gv4l/i/+OP5C/kv+VP5d/mb+b/55/oP+jv6Z/qT+r/66/sb+0f7c/ub+8P76/wP/DP8U/xv/Iv8p/zD/Nv89/0T/S/9S/1r/Y/9s/3b/gP+L/5b/ov+v/7v/yP/V/+L/7//7AAcAEwAeACgAMgA8AEQATQBVAF0AZABsAHQAewCDAIwAlACdAKcAsQC7AMYA0QDcAOcA8wD+AQoBFQEgASoBNQE+AUcBUAFYAWABZwFtAXMBeAF9AYABgwGFAYYBhgGFAYMBgAF7AXUBbwFnAV4BVQFKAUABNQEqAR8BFQELAQIA+gDzAO4A6QDmAOUA5QDmAOgA6wDwAPUA+wECAQoBEgEbASQBLgE5AUMBTwFbAWcBdAGCAY8BnQGrAbgBxQHRAd0B5wHwAfgB/gIDAgYCCAIIAgcCBgIDAgEB/gH8AfoB+QH5AfsB/QIAAgUCCgIQAhYCHAIiAigCLAIwAjICMwI0AjMCMQIwAi4CLQItAi8CMwI6AkQCUAJgAnMCiQKiAr0C2QL2AxQDMANLA2QDegOMA5oDowOoA6gDpAObA48DgANvA1wDSAM0AyEDDgL+AvAC5ALaAtICzALIAsUCwgK/ArwCtwKxAqgCnQKQAoECbwJbAkUCLwIYAgIB7AHYAcYBtgGpAZ8BmAGVAZQBlgGaAaABqAGwAbgBwQHJAdAB1gHbAd8B4gHlAecB6QHqAe0B8AH0AfkCAAIHAhACGQIjAi4COAJBAkkCTwJTAlUCVQJRAksCQwI4AioCGwIKAfgB5QHSAcABrgGcAYwBfQFuAWIBVQFKAUABNgEsASIBGAEOAQMA9wDqANwAzgC/ALAAoACQAH8AbwBeAE4APgAuAB4AD/////D/4P/R/8H/sf+g/4//fv9s/1n/Rv8x/xz/Bv7v/tb+vf6i/of+av5M/i3+Df3s/cr9p/2E/WD9Pf0a/Pf81fyz/JP8c/xV/Dj8HPwB++j7z/u3+5/7iPtw+1n7Qfsp+xD69/rd+sP6qPqN+nH6Vfo6+h76Avnn+cz5svmX+X35ZPlK+TH5F/j++OT4y/ix+Jf4ffhj+En4MPgW9/335PfL97P3mveD92v3U/c79yP3C/bx9tf2vPag9oP2ZfZG9if2BvXm9cX1pPWE9WT1RfUn9Qr07/TV9L30pfSP9Hr0ZvRS9D/0LPQZ9Abz8/Pf88vzt/Oi847zePNj807zOfMk8w/y+vLl8tDyvPKn8pLyfPJn8lDyOPIg8gfx7fHT8bjxnfGB8WbxS/Ey8RnxAfDs8NfwxfC18KfwmvCP8IbwffB28G/waPBh8FrwUvBJ8D7wM/Am8BfwCO/37+Xv0u+/76vvmO+E73HvXu9L7znvKO8X7wbu9e7l7tTuw+6x7p7ui+527mDuSu4y7hnt/+3k7cntre2R7XbtW+1B7SjtEOz67Obs1OzE7Lbsqeyf7JfskOyL7IjsheyE7IPsguyC7ILsguyC7ILsgeyB7IDsf+x+7H3sfOx77Hvseux67Hvse+x87Hzsfex97H3sfOx77Hjsdexx7GzsZexe7FfsTuxG7D3sNewt7CfsIewd7BvsGuwb7B7sIuwn7C3sM+w57D7sQexC7EDsPOwz7CfsF+wE6+zr0euz65PrcutQ6y/rD+rx6tbqv+qs6p7qluqS6pXqnOqn6rfqy+rh6vnrE+st60brX+t264zroOux68HrzuvZ6+Lr6uvx6/fr/OwB7AXsCewO7BLsFewZ7BzsH+wh7CPsJOwk7CPsIewe7BvsF+wT7A/sC+wH7APr/+v86/jr9uvz6/Hr7uvr6+jr5evh69zr1+vR68vrxOu967brruun65/rmOuS64zrhuuB633reet263Prcetv627rbets62vra+tr62vra+tr62zrbett627rb+tw63Hrcuty63Lrcuty63HrcOtv623rbOtr62nraOto62jraOtp62rrbOtu63HrdOt363rrfOt/64HrguuD64PrguuB64Drfet763jrdutz63Drbuts62rraetp62jraetp62rra+ts627rb+tx63PrdOt263jre+t964Drg+uG64rrjeuR65Trl+ua65zrnuuf65/rneub65nrleuR64zrh+uC633reet263Trcuty63Trd+t864LrieuR65rrpOuu67jrwuvL69Tr3Ovj6+rr8Ov16/rr/uwD7AjsDewT7BrsIuwr7DbsQexN7Fvsaex37IXsk+yh7K7su+zG7NDs2ezh7Ojs7uzz7Pjs/e0B7QbtDO0S7RntIe0q7TTtPu1K7VbtYu1u7Xrthu2Q7Zrto+2r7bLtuO297cLtxu3L7dHt1+3f7ejt8+4B7hHuI+447k/uaO6D7p/uve7a7vnvF+8071Dvau+D75rvru/A79Dv3u/p7/Pv+/AB8AbwCvAN8A/wEvAU8BbwGPAa8BzwH/Ah8CTwJ/Ar8C7wMvA28DvwQPBF8EvwUfBY8GDwafBz8H3wiPCU8KDwrfC68Mfw1PDg8Ozw9/EB8QrxEvEZ8R7xIfEk8SXxJPEj8SDxHfEZ8RXxEfEM8QjxBPEB8P/w/fD98P7w//EC8QfxDfEU8RzxJvEx8T3xS/FZ8WnxevGM8Z/xs/HI8d3x9PIL8iPyO/JU8m3yh/Kh8rry1PLt8wbzHvM280zzYvN384vznvOx88Pz1PPl8/f0CPQa9C30QfRV9Gv0gvSb9LX0z/Tr9Qf1I/U/9Vv1dvWP9af1vvXS9eX19vYF9hL2HvYp9jT2PvZI9lL2XvZq9nf2hvaV9qX2t/bI9tr26/b79wv3Gfcl9y/3N/c890D3QfdA9z73Ovc29zH3LPcn9yP3IPcf9x73IPcj9yf3LPcz9zv3QvdK91L3WPde92L3Zfdl92P3X/dY90/3RPc29yX3FPcA9uz21/bB9qz2mPaF9nP2ZPZX9k32RfZB9kD2QvZH9k72V/Zi9m/2fPaK9pj2pfay9r32x/bP9tX22vbe9uH24vbj9uT25fbn9un27fby9vj3APcK9xX3Ifcu9z33S/da92j3dveE95D3m/el9673tfe798H3xffI98z3zvfR99T31/fb99/35Pfp9+739Pf6+AD4BfgK+A/4E/gW+Bf4GPgX+BX4EfgN+Ab3//f39+735Pfa98/3xfe797H3p/ef95f3kfeL94b3gveA9373ffd893z3ffd+93/3gfeC94T3hveI94v3jveS95f3nvel96/3uvfI99f36ff8+BL4KfhB+Fv4dfiP+Kr4xPjc+PP5Cfkc+Sz5OvlF+U75U/lW+Vf5VflS+U35R/lA+Tj5MPko+SD5GPkR+Qv5BvkB+P34+vj5+Pj4+Pj5+Pv4/vkC+Qf5DfkU+Rv5JPks+TX5PvlG+U75VPlZ+V35Xvld+Vr5VPlL+UD5M/kk+RT5A/jy+OH40fjD+Lj4sPir+Kv4rvi2+MP40/jn+P/5Gfk1+VP5cPmO+ar5xPnc+fH6BPoS+h76Jvor+i36Lfor+in6Jfoi+h/6Hfoc+h36H/oj+ir6Mvo7+kb6Ufpe+mr6d/qE+pH6nPqo+rL6vPrF+s361frc+uP66vrx+vj6//sH+w/7F/sg+yn7Mvs7+0X7TvtX+2D7aPtw+3j7fvuF+4v7kPuW+5v7oPuk+6r7r/u0+7r7wfvI+9D72Pvh++v79Pv+/Aj8E/wd/Cf8Mfw6/EP8TPxU/Fz8Y/xq/HL8efyA/Ij8kPyZ/KL8rPy2/MH8zPzY/OP87vz6/QT9Dv0X/R79Jf0r/TD9M/02/Tj9Of06/Rn9Gv0c/R39IP0j/Sf9Lf00/Tz9Rv1Q/Vz9aP12/YP9kf2e/az9uf3F/dH93P3m/fD9+f4B/gr+Ef4Z/iH+Kf4y/jr+Q/5N/lf+Yf5s/nf+gf6M/pf+of6r/rT+vP7E/sz+0v7Z/t/+5P7q/u/+9f77/wH/Cf8R/xr/JP8v/zv/R/9V/2P/cf+A/4//nv+t/7v/yf/W/+P/7//6AAQADQAWAB4AJgAtADQAPABDAEsAUwBcAGUAbwB6AIUAkQCdAKkAtgDDANAA3QDqAPcBBAEPARsBJgEwAToBQwFLAVMBWQFfAWQBZwFqAWsBawFqAWcBYwFeAVcBUAFHAT0BMwEoARwBEAEFAPkA7gDkANsA0wDMAMYAwgC/AL4AvgDAAMMAxwDMANIA2ADgAOgA8AD5AQIBDAEWASABKwE2AUEBTAFYAWMBbwF6AYUBkAGaAaMBqwGyAbkBvQHBAcQBxgHHAccBxwHGAcYBxgHGAccByQHLAc8B0wHYAd4B5AHrAfEB9gH7Af8CAgIEAgQCAwIBAf4B+gH2AfMB8AHvAe8B8gH4AgECDQIdAjACRwJgAnwCmQK3AtYC9AMRAysDQwNYA2gDdAN8A4ADfwN6A3EDZgNYA0kDOQMoAxgDCQL7Au4C4wLaAtMCzQLIAsMCvwK6ArUCrQKkApoCjQJ9AmwCWQJEAi4CGAIBAesB1wHEAbQBpgGbAZMBjgGMAYwBkAGVAZwBpAGsAbUBvQHFAc0B0wHYAdwB4AHjAeYB6QHsAfEB9gH9AgUCDgIZAiUCMgI/AkwCWQJlAm8CdwJ8An8CfwJ7AnQCaQJbAksCOAIjAgwB9QHdAcUBrQGXAYEBbQFbAUsBOwEuASIBFgEMAQIA+ADuAOQA2QDOAMIAtQCoAJkAiwB7AGwAXABMADwALAAdAA3//v/v/9//0P/B/7H/of+Q/3//bP9Z/0X/L/8Z/wH+6P7O/rP+l/56/lz+Pv4e/f/93/2//Z79fv1e/T39Hvz+/N/8wPyi/IT8Z/xK/C78Evv3+9z7wfun+437c/tZ+z/7JfsL+vL62Pq/+qb6jPpz+lr6Qvop+hH5+Png+cj5sPmX+X/5ZvlO+TX5HPkC+On4z/i2+Jz4gvhp+E/4Nvgd+AT37PfU97z3pPeL93P3WvdB9yb3C/bv9tL2tPaV9nX2VfYz9hH17/XN9az1i/Vr9Uz1LvUS9Pf03fTF9K/0mfSF9HL0X/RM9Dr0J/QV9ALz7vPb88fzs/Of84rzdvNi80/zPPMp8xfzBvL18uXy1PLE8rTyo/KR8n/ya/JX8kHyKvIR8fjx3fHC8abxi/Fw8VXxO/Ej8Qzw9/Dl8NPwxfC38KzwovCa8JLwi/CE8H3wdfBt8GPwWPBM8D/wMPAf8A7v++/o79Tvv++r75fvg+9v71zvSu857yjvF+8H7vju6O7Y7sfutu6k7pDufO5m7k/uN+4e7gTt6e3O7bLtl+197WTtTO017SHtD+z/7PLs5+ze7Njs1OzS7NHs0uzU7Nbs2Oza7Nzs3eze7N3s2+zY7NTsz+zJ7MLsu+yz7Kzspeye7JjskuyN7IjshOyB7H7seux37HPsbuxp7GPsXOxT7ErsQOw27CvsIOwW7AzsBOv+6/nr9+v36/rr/+wH7BHsHuwr7DnsSOxW7GLsbex27Hvsfux87Hbsbexg7E/sPOwl7A7r9evc68TrreuY64brdutr62TrYOtg62Tra+t264Prkeuh67Lrw+vU6+Tr8+wA7AzsF+wf7CbsLOww7DPsNew37DjsOew67DrsO+w77DzsPew97D7sPuw97D3sPOw67DjsNewy7C7sKuwm7CHsHOwX7BLsDewI7APr/uv66/Xr8Ovs6+jr4+vf69zr2OvV69Hrz+vM68rrx+vF68TrwuvB67/rvuu867vrueu467brtOuy66/rreuq66jrpeuj66Drnuuc65rrmOuW65Trk+uS65HrkOuQ64/rj+uP65DrkOuR65PrlOuX65nrnOuf66Prp+ur66/rtOu467zrwOvD68bryOvK68vrzOvM68zry+vK68jrxuvF68LrwOu+67zrueu367Xrsuuw663rq+uo66Xrouuf65zrmuuX65Xrk+uS65HrkeuR65Hrk+uV65frmuuc65/rouuk66frqeuq66vrrOus66zrq+uq66nrqOun66frp+un66jrqeur663rsOuz67brueu867/rwuvE68bryOvJ68rrzOvN68/r0evU69jr3uvl6+3r9+wC7A/sHuwu7D7sUOxj7HXsiOya7KzsvezM7Nvs6ez17QDtCu0T7RvtI+0r7TPtOu1C7UvtVO1e7Wjtc+1/7Yrtlu2i7a3tuO3D7c3t1u3e7eXt7O3y7fjt/u4E7gvuEu4b7iXuMu4/7k/uYe507oruoe657tPu7e8H7yLvPO9V723vg++Y76vvve/M79nv5e/v7/fv/vAE8AjwDfAQ8BTwF/Aa8B7wIfAl8CjwLPAw8DTwOfA98EHwRvBL8FDwVfBb8GHwaPBv8HfwgPCK8JXwoPCr8LjwxPDQ8N3w6fD08P/xCPEQ8RfxHfEh8SPxJPEj8SHxHvEa8RXxEPEK8QTw/vD58PTw7/Ds8Onw6PDo8Onw6/Dv8PPw+fEB8QnxE/Ee8SvxOfFH8VjxafF88ZDxpvG88dTx7PIG8iDyOvJW8nHyjPKn8sLy3PL28w/zJ/M981PzaPN885DzovO088fz2fPr8/70EfQm9Dv0UvRq9IP0nfS49NT08PUM9Sn1RPVf9Xn1kfWn9bz1zvXf9e31+vYE9g72FvYd9iT2K/Yy9jn2QfZK9lT2XvZp9nX2gPaM9pf2ofap9rH2tfa49rj2tvax9qn2n/aT9oX2d/Zn9lf2SPY59iv2H/YW9g72CfYG9gb2CfYN9hT2HPYm9jH2PPZI9lP2XvZo9nH2ePZ+9oP2hvaH9ob2hPaB9nz2d/Zx9mr2Y/Zc9lX2TvZI9kP2P/Y79jn2N/Y39jj2OvY99kH2RfZK9lD2VvZd9mT2a/Zy9nn2gPaH9o72lfac9qP2qvay9rr2wvbK9tP23Pbm9vD2+/cG9xL3Hfcp9zb3QvdO91n3Zfdw93v3hfeO95f3n/em96z3sfe297n3vPe+98D3wffC98L3wffB98D3v/e997z3uve497X3s/ew96z3p/ei9533lveP94j3gPd39273Zfdb91L3SfdB9zn3Mvcs9yf3JPch9x/3H/cf9yH3I/cl9yj3K/ct9zD3M/c29zj3Ovc99z/3QvdG90r3T/dW9173aPdz94H3kPeg97P3xvfa9+/4Bfga+C/4RPhX+Gn4efiI+JX4oPip+LH4tvi7+L74v/jA+MH4wfjB+MD4wPjA+MD4wfjC+MP4xfjG+Mn4y/jO+NL41fjZ+N744/jo+O348/j5+P/5BPkK+Q/5E/kW+Rj5GPkX+RT5EPkJ+QH49/js+OH41fjJ+L34s/ir+KX4ovij+Kb4rvi6+Mr43fj0+Q35KvlH+Wb5hvmk+cL53vn3+g76Ifox+j36RvpL+k36TfpK+kf6Qvo8+jf6M/ow+i76L/ox+jb6PPpF+lD6XPpp+nf6hvqV+qT6s/rB+s762vrl+u/6+fsB+wn7EPsW+x37I/sq+zH7OPtA+0j7UPtZ+2L7bPt1+377iPuQ+5n7oPuo+677tPu6+777w/vH+8v7z/vT+9f72/vg++X76/vx+/j7//wH/A/8Fvwe/Cb8Lfw0/Dv8QfxH/E38UvxX/Fz8Yfxm/Gz8cvx4/ID8iPyQ/Jr8pPyu/Ln8xPzP/Nr85Pzu/Pf8/v0F/Qv9D/0T/RX9F/0Y/Ov87Pzt/O788Pzy/Pb8+vz+/QX9DP0U/R79KP0z/T/9S/1X/WT9cP17/Yf9kf2b/aX9rv22/b79xf3M/dT92/3i/er98v36/gP+DP4V/h/+KP4y/jz+Rv5P/lj+Yf5p/nH+eP5+/oX+i/6R/pb+nP6i/qn+sP64/sH+y/7V/uD+7f76/wf/Fv8k/zP/Qv9R/2D/bv98/4n/lv+i/63/t//B/8v/1P/e/+f/8P/5AAMADQAYACMALwA8AEkAVgBkAHMAggCRAKAAsAC/AM4A3ADqAPgBBQERARwBJwEwATkBQAFHAUwBUAFSAVMBUwFRAU4BSQFDATsBMgEpAR4BEgEGAPoA7gDhANUAygDAALcArwCoAKMAnwCdAJ0AngCgAKMAqACuALQAuwDDAMwA1ADdAOcA8AD5AQMBDAEVAR8BKAExAToBQwFLAVMBWwFiAWgBbgFzAXcBewF+AYABggGDAYQBhQGHAYgBigGNAZABlAGZAZ4BpAGrAbEBuAG+AcQByQHNAdAB0gHSAdEBzwHLAccBwwG/AbsBuAG3AbgBuwHCAcsB2AHoAfsCEgIrAkcCZAKDAqECvwLdAvgDEQMnAzkDRwNSA1gDWwNZA1UDTQNDAzcDKgMcAw4DAALzAuYC2wLQAscCvwK3Aq8CqAKgApcCjAKBAnQCZQJVAkMCMAIcAgcB8gHeAcsBuQGoAZoBjgGFAX8BfAF7AXwBgAGFAYwBkwGbAaMBqwGzAbkBwAHFAcoBzgHSAdcB2wHgAeYB7QH2Af8CCgIWAiMCMQI+AkwCWAJkAm4CdQJ6AnwCegJ1Am0CYQJSAkACLAIWAf0B5AHLAbEBmAF/AWgBUgE+ASwBHAENAP8A8wDoAN0A0wDJAL8AtQCqAJ8AkgCFAHgAagBbAEwAPQAuAB4ADwAA//D/4f/S/8T/tf+l/5X/hf90/2H/Tv85/yP/DP7z/tn+vv6i/oT+Zv5H/if+B/3o/cj9qP2I/Wn9S/0t/Q/88vzW/Lr8nvyD/Gj8Tfwz/Bj7/fvi+8f7rPuR+3b7W/tA+yX7C/rx+tf6vfqk+oz6dPpd+kb6L/oZ+gP57fnX+cH5q/mU+X35ZvlP+Tf5HvkF+Oz40/i5+J/4hvht+FP4Ovgi+An38ffZ98H3qPeQ93f3XfdC9yf3C/bu9s/2sPaQ9m/2TfYr9gn15/XG9aX1hfVl9Uf1K/UQ9Pb03vTH9LH0nfSJ9Hb0Y/RQ9D70K/QY9AXz8fPd88nztfOh843zevNn81XzRPMz8yPzFfMG8vny7PLf8tLyxPK28qfylvKF8nHyXPJG8i7yFPH68d7xwvGm8Yrxb/FU8TvxI/EN8Pnw5/DX8MnwvfCz8KnwofCa8JLwi/CE8Hzwc/Bo8F3wUfBD8DTwJPAT8ALv7+/d78rvt++k75LvgO9v717vTe887yvvGu8J7vju5e7S7r7uqe6S7nvuYu5J7i/uFe367eDtxu2u7Zbtge1t7VztTO1A7TbtL+0q7SftJu0o7SrtLe0w7TPtNu057TrtOu047TTtL+0p7SHtF+0N7QLs9uzr7ODs1ezL7MPsu+y07K7squyl7KLsnuyb7JbskeyL7ITse+xx7GXsWexL7D3sLuwg7BPsCOv+6/jr9Ovz6/fr/uwJ7BfsKew97FTsbOyF7J7stuzM7N/s7+z87QTtB+0G7P/s9ezm7NTsv+yo7JDsd+xe7EbsMewd7A3sAOv26/Dr7uvu6/Lr+ewB7AvsF+wi7C7sOuxE7E7sVuxd7GLsZuxo7Gnsauxp7GjsZuxk7GLsYexg7F/sX+xf7F/sYOxh7GLsY+xj7GPsY+xi7GDsXexa7FXsUexL7EXsP+w47DHsK+wk7B7sGOwT7A/sC+wI7AbsBewE7ATsBOwF7AbsB+wJ7ArsC+wM7AzsDOwL7ArsB+wF7ALr/uv66/Xr8Ovr6+Xr4Ovb69br0evM68jrxOvB677ru+u567jrtuu267Xrteu167brt+u567vrvuvB68TryOvM69Dr1eva69/r5Ovq6+/r8+v46/zsAOwE7AfsCewL7A3sDuwP7A/sDuwO7A3sDOwK7AjsBuwD7ADr/ev56/Xr8evt6+jr4+ve69nr1OvP68rrxuvC67/rvOu567frtuu267brt+u467rrvOu/68LrxOvH68rrzevP69Hr0+vV69fr2Ova69vr3Ovd697r3+vf6+Dr4Ovg6+Dr4Ovg69/r3uvd69zr2+va69nr2eva69vr3evg6+Xr7Ovz6/3sCOwV7CPsM+xE7FbsaOx87I/so+y27Mns2+zs7PztC+0Z7SXtMe087UbtT+1Y7WHtau1y7Xvtg+2M7Zbtn+2p7bPtvO3G7c/t2O3h7ent8e347f/uBu4M7hPuGu4h7inuMu497knuVu5l7nXuh+6b7rDuxu7d7vXvDe8m7z7vVe9s74Hvle+n77jvx+/V7+Hv6+/07/zwA/AJ8A7wE/AX8BzwIPAk8CnwLvAz8DjwPfBC8EjwTfBS8FjwXfBi8GjwbfBz8HnwgPCH8I7wlvCe8KfwsPC68MPwzfDX8OHw6/D08PzxBPEK8RDxFPEX8RnxGvEa8RnxF/EU8RHxDfEK8QbxAvD/8Pzw+fD48Pfw9/D48Pnw/PEA8QXxC/ES8RrxJPEv8TvxSfFY8WjxevGO8aPxufHR8eryA/Ie8jnyVPJw8ovypvLA8tny8vMJ8x/zNPNH81nza/N884vzm/Or87vzzPPd8/D0BPQZ9DD0SPRi9H30mfS29NP08fUO9Sv1R/Vh9Xr1kPWl9bf1x/XV9eH16vXy9fn1/vYD9gj2DPYR9hb2HPYi9in2MfY59kH2SfZR9lj2XfZh9mP2Y/Zg9lv2U/ZI9jz2LPYb9gn19fXh9c31ufWm9ZX1hfV49W31ZfVf9Vz1XPVe9WP1avVy9Xz1iPWU9aD1rfW69cf10/Xe9en18/X79gP2CvYQ9hT2GPYb9h32HvYe9h32HPYb9hj2FvYT9hD2DfYL9gj2B/YF9gX2BfYH9gn2DPYR9hb2HfYk9i32NvY/9kn2VPZe9mj2c/Z99of2kPaZ9qL2q/a09rz2xfbO9tf24fbr9vb3AfcN9xr3J/c090H3Tvdb92f3cvd994b3jfeU95j3m/ed95z3m/eY95T3j/eJ94P3fPd192/3aPdi91z3V/dS9033SPdE9z/3Ovc19y/3Kfcj9x33FfcO9wb2//b39vD26vbk9t/22vbX9tX21PbT9tT21fbX9tn23Pbe9uD24vbk9uX25fbm9ub25vbm9ub25vbo9uv27/b09vv3BPcO9xv3Kfc490n3W/du94L3lfep97z3z/fh9/H4AfgP+B34KPgz+D34RfhN+FT4Wvhh+Gb4bPhy+Hf4ffiC+Ij4jfiT+Jj4nfij+Kf4rPix+LX4ufi++MH4xfjI+Mz4z/jR+NT41fjW+Nb41vjV+NL4z/jL+Mb4wPi6+LT4rvip+KT4ofif+KD4o/io+LH4vPjL+N348vkK+ST5QPld+Xv5mvm4+dX58PoJ+iD6NPpE+lL6XPpj+mf6afpo+mb6Yvpe+lr6VvpT+lH6UPpR+lX6Wvph+mr6dPqA+o36mvqo+rb6xPrR+t766vr1+v/7CPsQ+xf7Hvsk+yr7L/s1+zv7QftI+0/7V/tf+2j7cPt5+4L7i/uT+5v7ovuo+677s/u3+7r7vfu/+8H7wvvD+8X7xvvI+8r7zPvP+9P71/vc++H75/vs+/L7+Pv+/AT8CfwP/BT8Gfwe/CL8J/ws/DL8N/w+/EX8TPxV/F78aPxy/H38iPyT/J/8qfy0/L78xvzO/Nb82/zg/OT85/zp/Kr8rfyw/LL8tfy4/Lv8v/zE/Mn80PzX/N/86Pzy/Pz9B/0S/R79Kf00/T/9Sf1T/V39Zv1u/Xb9ff2E/Yv9kv2Y/Z79pP2r/bH9uP2//cb9zv3V/d395f3s/fT9/P4D/gr+Ev4Z/iD+J/4u/jX+Pf5F/k3+Vv5f/mn+dP5//ov+mP6l/rP+wf7P/t7+7P77/wn/F/8l/zL/P/9M/1j/ZP9v/3r/hf+Q/5v/pv+y/73/yf/W/+P/8P/+AA0AHAAsADsASwBcAGwAfQCNAJ4ArQC9AMwA2wDoAPUBAgENARcBIAEoAS4BMwE3ATkBOQE4ATUBMQEsASUBHQETAQkA/gDzAOcA2wDQAMUAugCxAKgAoQCbAJYAkwCRAJAAkQCTAJYAmgCfAKQAqwCxALgAvwDHAM4A1gDdAOQA7ADyAPkBAAEGAQwBEgEXARwBIAEkASgBKgEtAS8BMQEyATIBMwE0ATQBNQE2ATgBOgE8AUABRAFIAU4BUwFaAWABZgFsAXIBdwF8AX8BgQGDAYMBggGBAX8BfQF7AXkBeQF5AXwBgAGHAZABnAGrAbwB0AHmAf4CFwIyAkwCZgKAApgCrgLBAtIC3wLqAvEC9AL1AvMC7gLnAt4C1ALJAr0CsgKmApsCkQKHAn4CdQJtAmQCXAJUAksCQQI2AisCHgIRAgMB8wHkAdQBxQG2AagBmgGPAYUBfQF3AXMBcQFxAXMBdgF7AYABhwGNAZQBmwGiAagBrgGzAbkBvQHCAccBzQHSAdkB4AHpAfIB/AIGAhICHQIoAjMCPAJFAkwCUAJSAlICTgJIAj4CMgIjAhIB/gHoAdIBugGhAYkBcQFaAUQBLgEbAQgA9wDoANkAzAC/ALMAqACcAJEAhQB5AG0AYABTAEYAOAAqABwADv////H/4//W/8j/u/+t/5//kf+C/3P/Y/9R/z//K/8V/v7+5f7L/q/+kv5z/lT+M/4T/fL90f2w/Y/9cP1R/TP9Ffz5/N78w/yp/JD8ePxf/Ef8L/wW+/775fvL+7L7mPt9+2P7SPst+xL6+Prd+sT6q/qS+nr6Y/pM+jb6IfoM+ff54/nO+br5pfmQ+Xv5ZflO+Tf5IPkI+PD41/i++Kb4jfh0+Fz4Q/gr+BP3/Pfk98z3tPec94P3avdR9zb3G/b+9uH2w/ak9oX2ZfZE9iT2A/Xj9cT1pfWH9Wv1T/U19Rz1BPTu9Nj0w/Sv9Jz0ifR19GL0T/Q89Cj0FPQA8+zz2PPE87DznPOJ83fzZvNV80XzNvMo8xvzDfMA8vPy5vLY8snyufKn8pXygPJq8lPyOvIg8gXx6PHM8a/xk/F38VzxQvEq8RPw//Ds8NvwzPC/8LPwqfCg8JjwkPCJ8ILwe/Bz8GvwYfBY8E3wQfA18CjwGvAL7/zv7O/c78vvu++p75jvh+9072LvT+877ybvEe777uTuzO607pvuge5n7k7uNO4c7gTt7e3Z7cXttO2l7Zntj+2H7YHtfu197X3tfu2B7YPthu2J7YvtjO2L7Ynthu2B7Xrtcu1o7V7tU+1H7TztMe0m7RztE+0M7QbtAez97Pvs+ez37Pbs9Ozx7O3s6Ozh7NjszezA7LLsouyQ7H7sbOxb7EvsPewy7CvsJ+wn7CzsNuxF7Fjsb+yK7KjsyOzp7QrtKu1J7WTtfO2Q7Z7tp+2r7ajtoO2T7YHtau1R7TTtFuz47Nrsveyh7Insc+xh7FPsSexC7D/sP+xD7EjsUOxY7GLsa+x17H3sheyL7JDsk+yV7JXslOyS7JDsjeyK7IfshOyC7IDsf+x/7H/sgOyC7ITshuyI7IrsjOyN7I3sjOyL7IjsheyB7Hzsd+xx7GvsZexf7FnsVOxP7EvsSOxG7EXsROxE7EXsRuxH7EnsS+xM7E3sTuxO7E3sTOxJ7EfsQ+w+7DnsNOwu7CjsIuwc7BfsEewM7AfsA+v/6/zr+ev36/Xr8+vx6/Dr7+vu6+3r7Ovs6+vr6uvq6+rr6uvq6+rr6+vt6+/r8ev06/fr+uv+7APsB+wM7BDsFewZ7B7sIewl7CnsLOwu7DDsMuwz7DTsNew17DTsNOwz7DHsMOwu7CzsKewn7CTsIewe7BvsGOwV7BHsDuwM7AnsB+wF7APsAewA7ADr/+v/6//sAOwA7AHsAuwD7AXsBuwI7AnsC+wM7A7sEOwR7BPsFewW7BjsGuwb7B3sHuwg7CHsIuwj7CTsJewm7CfsKOwq7CvsLeww7DPsN+w87ELsSexR7FrsZOxv7HvsieyW7KXstOzD7NPs4uzy7QHtD+0d7SvtN+1D7U/tWu1k7W7td+2A7Yntku2a7aLtq+2z7bvtw+3L7dPt2u3h7ejt7+317fvuAe4G7gzuEe4X7h3uJO4s7jTuPu5J7lbuZO5z7oTul+6r7sDu1u7s7wPvGu8y70jvXu9074jvm++s77zvyu/X7+Lv7O/07/zwAvAI8A3wEvAW8BrwHvAi8CfwK/Av8DTwOfA+8EPwSPBN8FHwVvBc8GHwZvBr8HHwdvB88IPwivCR8JjwoPCp8LHwuvDD8Mzw1vDf8Ofw8PD48P/xBvEM8RLxF/Ec8SDxI/En8SnxLPEu8TDxMvE08TbxOPE78T3xQPFE8UfxS/FQ8VXxW/Fi8Wrxc/F98YjxlPGi8bLxwvHV8ejx/fIT8ivyQ/Jb8nTyjfKm8r/y1vLt8wPzF/Mq8zzzTPNb82nzdvOC847zmvOm87PzwfPQ8+Dz8fQF9Br0MPRI9GL0fPSY9LP0z/Tq9QX1HvU29Uz1YfVz9YP1kPWc9aX1rfWz9bj1vfXB9cX1yPXN9dL11/Xe9eX17PX19f32BvYO9hX2HPYh9iX2JvYm9iP2HvYX9g72A/X29ej12PXI9bj1qPWZ9Yv1fvVy9Wj1YPVa9VX1U/VT9VT1VvVa9WD1ZvVs9XT1e/WD9Yv1k/Wa9aH1qPWu9bT1ufW+9cL1xvXJ9cv1zfXN9c71zfXM9cr1yPXG9cP1wfW+9bz1uvW59bn1uvW89cD1xPXK9dH12vXj9e71+fYE9hD2HPYo9jP2PvZI9lL2WvZi9mn2cPZ29n32g/aJ9o/2l/af9qj2sva99sn21vbk9vP3AfcQ9x/3Lfc690b3UPdZ92D3Zfdo92n3aPdm92L3XfdW90/3R/c/9zf3L/cn9yD3GvcU9w73CfcE9v/2+vb19vD26/bl9t/22PbR9sr2wva79rP2rPal9p/2mfaV9pH2jvaM9ov2ivaL9oz2jfaO9pD2kfaS9pP2lPaU9pT2lPaU9pT2lfaW9pj2m/ag9qX2rPa19r/2y/bY9uf29vcH9xj3Kfc79033Xvdu9373jfec96n3tffB98z31vfg9+r38/f8+AX4DvgX+CH4Kvg0+D74R/hQ+Fn4Yvhq+HH4ePh++IP4iPiL+I74kfiS+JT4lPiU+JT4lPiU+JT4k/iT+JP4kviS+JP4lPiV+Jf4mfic+KH4pvit+Lb4v/jL+Nj45/j4+Qr5Hvkz+Ur5Yfl4+Y/5pvm9+dL55vn4+gn6F/oj+i36NPo6+j36P/o/+j/6Pfo8+jr6Ofo5+jr6O/o/+kT6SvpS+lz6Zvpx+n36ivqX+qP6sPq8+sb60fra+uL66vrx+vb6/PsA+wX7CvsO+xP7Gfsf+yX7LPsz+zv7Q/tM+1T7Xftl+237dPt6+4D7hPuI+4v7jfuP+5D7kPuR+5H7kfuR+5L7k/uV+5f7mvue+6L7p/us+7L7uPu++8T7y/vR+9f73Pvi++j77fvy+/j7/vwE/Ar8EfwY/CD8KPwx/Dr8RPxO/Fj8Yfxr/HX8ffyG/I38lPya/J/8o/yn/F78Y/xn/Gz8cPx1/Hr8gPyF/Iz8k/ya/KP8q/y1/L/8yfzT/N786fz0/P79Cf0T/Rz9Jf0t/TX9O/1C/Uf9Tf1R/VX9Wf1c/WD9Y/1m/Wn9bP1w/XP9d/17/X/9hP2J/Y/9lf2c/aP9q/2z/bz9xv3Q/dv95/30/gH+D/4d/iz+PP5M/lz+bf59/o7+nv6u/r7+zv7d/uv++f8H/xT/If8t/zn/RP9Q/1v/Zv9x/3z/iP+U/6D/rf+6/8f/1f/j//IAAQARACEAMQBBAFIAYgBzAIMAkwCjALEAwADOANoA5gDwAPkBAQEIAQ0BEAESARIBEQEOAQoBBAD+APYA7gDlANwA0gDJAMAAtwCvAKcAoACaAJUAkgCOAIwAiwCLAIwAjQCPAJEAlACXAJoAngCiAKYAqgCuALIAtgC6AL4AwgDGAMoAzgDRANQA1wDZANsA3QDeAN4A3wDeAN0A3ADbANoA2QDYANcA1wDXANcA2QDbAN4A4gDmAOoA7wD0APkA/gEDAQgBDAEPARIBFQEXARgBGgEbAR0BHwEhASUBKgEwATcBQAFLAVgBZgF1AYUBlwGoAbsBzQHeAe8B/gIMAhgCIgIqAi8CMwI1AjQCMgIvAioCJAIeAhcCEAIJAgIB/AH2AfAB6wHmAeEB3AHXAdIBzQHHAcABuQGyAaoBogGZAZABiAGAAXgBcQFqAWUBYQFfAV0BXQFeAWABYwFnAWwBcQF2AXwBggGIAY4BlAGaAZ8BpQGrAbEBtwG+AcUBzQHVAd0B5gHvAfgCAAIIAhACFgIaAh0CHwIeAhsCFQIOAgMB9wHoAdgBxQGyAZ0BhwFxAVsBRQEvARkBBQDxAN4AzAC6AKoAmgCKAHwAbQBfAFEAQwA1ACcAGQAL//7/8P/j/9f/yv+//7P/qP+d/5P/iP99/3L/Zv9a/0z/Pf8t/xr/B/7x/tn+v/6k/ob+Z/5H/ib+Bf3j/cD9nv19/Vz9PP0d/QD85PzJ/K/8lvx+/Gj8Ufw7/CX8EPv6++P7zPu1+537hPtr+1H7N/sd+wL66PrN+rP6mvqB+mn6Ufo6+iT6Dvn5+eX50fm9+an5lvmC+W75WvlF+TD5G/kF+O/42fjD+Kz4lfh/+Gj4Uvg8+Cb4EPf69+P3zfe295/3iPdv91b3Pfci9wb26vbN9q/2kfZy9lP2NPYW9fj12vW99aH1hvVs9VP1O/Uk9Q70+fTl9NH0vfSq9Jb0g/Rw9Fz0SPQ09CD0DPP38+Pzz/O786jzlfOC83HzYPNP8z/zL/Mg8xDzAfLx8uDyz/K98qrylvKB8mryUvI58h/yBfHp8c3xsfGW8XrxX/FF8SzxFfD/8Orw1/DG8Lbwp/Ca8I/whPB78HLwavBi8FvwU/BM8ETwPPA08CvwIfAX8A3wAe/07+fv2e/K77rvqe+W74Pvb+9Z70PvK+8T7vru4e7H7q3uk+567mLuSu407h/uDO387e3t4O3V7c3tx+3D7cDtv+2/7cDtwe3C7cTtxO3E7cPtwe2+7bnts+2s7aTtm+2S7YntgO137XDtae1k7WDtXe1c7VztXu1g7WLtZe1n7Wntae1n7WTtXu1W7UvtPu0v7R3tC+z37OTs0Oy/7K/souyZ7JTslOyY7KPssuzH7ODs/+0g7UXta+2S7bnt3u4B7iDuO+5Q7l/uaO5q7mXuWu5J7jLuFe317dLtrO2G7V/tOe0V7PTs1ey77KXsk+yF7Hzsd+x17HbseuyA7Ifsj+yX7J/spuys7LHstOy27Lbsteyz7K/sq+yn7KLsnuyZ7Jbsk+yR7JDsj+yQ7JHsk+yV7Jfsmeyb7J3snuyf7J/sn+ye7J3sm+yY7Jbsk+yQ7I7sjOyK7Ijsh+yH7Ifsh+yI7IjsieyJ7IrsiuyJ7IjshuyD7H/se+x27HDsauxk7F7sV+xQ7ErsRew/7DvsN+w07DLsMOww7C/sMOww7DHsMewy7DLsMuwx7DDsLuws7CnsJuwi7B7sGuwW7BLsD+wM7AnsB+wF7AXsBewG7AfsCuwN7BDsFOwY7BzsIewl7CnsLewx7DTsN+w67DzsPuxA7ELsQ+xE7EXsRuxH7EjsSexK7EvsTOxO7E/sUOxS7FPsVOxV7FbsV+xY7FjsWOxY7FjsWOxX7FbsVexT7FLsUexP7E7sTexM7EvsSuxK7ErsS+xM7E7sUOxS7FbsWexd7GLsZuxr7HHsdux87ILsh+yO7JPsmeyf7Kbsq+yy7LjsvuzF7Mvs0uzZ7ODs6Ozv7Pfs/+0I7RDtGe0h7SrtM+077UTtTO1V7V3tZe1u7Xbtfu2G7Y7tlu2e7aftr+237b/tyO3Q7djt4O3o7e/t9u397gPuCe4P7hXuGu4g7iXuK+4x7jfuPu5G7lDuWe5l7nHuf+6O7p7usO7C7tbu6u7+7xPvKO8871DvZO9274jvmO+n77Xvwe/M79bv3+/m7+zv8u/27/rv/vAB8ATwB/AK8A3wEPAT8BbwGfAd8CDwJPAn8CvwL/A08DjwPfBC8EfwTfBT8FrwYfBp8HLwe/CE8I7wmfCk8K/wu/DH8NPw3/Dr8PfxA/EQ8RvxJ/Ey8T3xSPFS8VzxZvFw8XnxgvGL8ZPxnPGk8avxsvG68cHxyPHP8dbx3fHl8e3x9fH+8gjyE/If8izyOvJI8ljyavJ78o7yofK18sny3fLw8wPzFvMn8zjzR/NW82Pzb/N684TzjfOW85/zp/Ow87rzxPPQ89zz6vP59Ar0HPQv9EP0WPRu9IP0mfSu9MP01vTp9Pn1CfUW9SL1LPU19Tz1QvVH9Uv1T/VT9Vf1XPVh9Wj1b/V39YD1ivWU9Z/1q/W29cH1zPXW9d/15vXs9fD18/X09fP18PXs9ef14PXZ9dH1yPXA9bf1r/Wn9aD1mfWT9Y71ivWG9YP1gfV/9X31fPV89Xv1e/V79Xv1evV69Xr1evV69Xr1evV69Xr1evV59Xn1ePV39XX1dPVy9XD1bvVs9Wr1aPVn9Wb1ZvVn9Wn1bPVw9Xb1ffWF9Y/1mfWl9bH1vvXL9dj15vXy9f72CfYT9hz2JPYr9jH2NvY79j/2QvZG9kr2T/ZU9lv2YvZr9nT2f/aM9pn2p/a19sP20vbg9u32+vcF9w73Fvcd9yH3JPcl9yT3Ivce9xr3FPcO9wf3APb59vL26/bj9t321vbQ9sn2w/a89rb2r/ao9qD2mfaR9on2gfZ59nH2avZi9lz2VfZQ9kv2R/ZE9kH2P/Y+9j32PfY+9j72P/ZA9kH2QvZE9kX2R/ZJ9kz2T/ZT9lj2XfZk9mz2dPZ+9on2lfah9q/2vPbK9tn25/b09wL3D/cb9yf3Mfc890X3T/dX92D3afdy93v3hPeP95r3pfex9773y/fZ9+f39fgC+A/4G/gn+DH4OvhB+Ej4TPhP+FH4UvhR+FD4TvhM+Er4SPhG+EX4RfhH+En4TfhT+Fr4Yvhs+Hj4hfiT+KP4s/jF+Nf46fj8+Q/5Ivk1+Uj5Wvls+X35jfmb+an5tfnB+cr50/nZ+d/54/nm+ej56fnq+er56vnq+er56/ns+e/58vn3+f36BPoN+hb6Ifot+jr6R/pU+mL6b/p8+oj6lPqf+qj6sfq4+r76xPrI+sz60PrS+tX62Prb+t/64/ro+u368/r6+wH7CfsR+xn7Ifsq+zH7OftA+0b7TPtR+1T7WPta+1z7Xvtf+2D7Yftj+2T7Zvtp+2z7cPt1+3r7gPuH+437lfuc+6P7qvux+7j7v/vF+8r7z/vU+9n73fvh++X76fvt+/L79/v8/AH8B/wN/BP8Gvwh/Cf8Lvw1/Dz8QvxI/E78VPxZ/CD8Jvws/DH8N/w9/ET8SvxR/Fj8YPxo/HD8efyC/Iv8lfyf/Kn8s/y9/Mb80PzZ/OL86vzx/Pj8/v0C/Qf9Cv0N/Q79D/0Q/RD9D/0O/Q39DP0L/Qr9Cv0K/Qv9DP0O/RH9Fv0b/SH9Kf0y/Tz9R/1U/WL9cP2A/ZH9o/22/cn93f3x/gX+Gf4t/kH+Vf5o/nv+jf6e/q/+v/7O/tz+6f72/wL/Df8Y/yL/LP82/z//Sf9T/13/Z/9x/3z/iP+U/6H/r/+8/8v/2v/q//sACwAcAC0APwBQAGAAcQCAAI8AnQCqALYAwQDKANIA2ADcAN8A4QDhAOAA3gDaANUA0ADKAMQAvQC2AK4ApwChAJoAlACOAIkAhAB/AHsAeAB1AHIAcABtAGwAagBpAGgAZwBnAGcAaABpAGoAbABuAHAAcwB2AHoAfgCBAIUAiACMAI4AkQCTAJQAlACUAJMAkgCQAI0AigCHAIQAgQB+AHwAegB4AHgAeAB4AHoAfAB/AIMAhwCLAJAAlQCaAJ8AowCoAKwAsAC0ALgAvAC/AMMAyADMANEA1gDcAOMA6gDyAPsBBAENARcBIAEpATMBOwFEAUsBUgFXAVwBYAFjAWUBZgFmAWYBZQFjAWIBYAFfAV0BWwFaAVkBWAFXAVYBVQFUAVMBUgFQAU4BTAFKAUcBRAFAAT0BOgE3ATQBMQEuAS0BKwErASsBKwEtAS8BMgE1ATkBPgFDAUgBTgFUAVoBYAFnAW4BdQF9AYUBjQGVAZ4BpgGvAbgBwAHJAdAB2AHeAeMB5wHpAeoB6QHnAeIB3AHTAckBvQGuAZ8BjgF8AWgBVAFAASoBFQEAAOoA1QDAAKwAlwCDAHAAXABKADcAJQATAAL/8f/h/9L/w/+0/6f/mv+O/4P/ef9w/2f/X/9Y/1D/SP9B/zj/L/8l/xn/DP79/uz+2f7D/qz+kv52/lj+Of4Z/ff91f2y/ZD9bf1M/Sv9C/zt/ND8tPya/IH8avxT/D78KfwV/AH77fvZ+8T7r/uZ+4P7bPtU+zv7IvsI+u760/q5+p/6hfps+lP6Ovoj+gz59vnh+cz5uPml+ZH5fvls+Vn5R/k0+SL5D/j8+On41vjD+K/4nPiI+HX4YfhO+Dr4JvgS9/336PfT9733p/eQ93j3X/dF9yv3D/bz9tb2uPaa9nz2XvZA9iL2BPXo9cv1sPWW9Xz1ZPVN9Tb1IPUL9Pf04/TQ9L30qfSW9IP0b/Rb9Ef0M/Qe9Arz9fPh88zzuPOk85DzffNq81jzRvM08yPzEvMC8vHy4PLP8r3yqvKX8oPybvJY8kLyKvIR8fjx3fHD8ajxjPFx8VbxO/Eh8Qfw7/DX8MHwrPCZ8Ifwd/Bo8FvwT/BE8DvwMvAr8CTwHvAY8BPwDfAH8AHv+u/y7+nv3u/S78Xvtu+m75TvgO9r71XvPe8k7wvu8e7X7r3upO6L7nPuXe5I7jbuJe4W7gnt/+337fDt6+3o7ebt5e3l7eXt5e3l7eXt5O3i7eDt3O3X7dLtzO3G7cDtuu207a/tq+2o7aftpu2o7avtr+207bvtwe3I7c/t1e3a7d3t3u3d7dnt0+3K7b7tsO2g7Y7tfO1q7VjtR+047S3tJe0h7SLtKe017UbtXe157Zntvu3l7g/uOu5l7o7ute7Z7vjvEu8l7zLvOO827y3vHO8G7ujuxu6f7nXuSe4b7e3twO2U7WztRu0l7Qjs7+zb7Mzswey77Lfst+y57L3sw+zJ7M/s1eza7N7s4Ozi7OHs3+zc7Njs0uzM7MXsv+y47LLsrOyn7KPsoOyd7Jzsm+yc7J3snuyg7KPspeyo7Krsreyv7LLstOy27Ljsuuy87L7swezD7MXsx+zK7MzszuzP7NHs0uzS7NHsz+zN7MnsxezA7Lrss+ys7KTsnOyT7Ivsg+x87HXscOxr7GfsY+xi7GDsYOxh7GLsZOxm7Gjsauxr7GzsbOxs7GrsaOxl7GHsXexX7FLsS+xF7D/sOewz7C3sKewl7CLsIOwe7B7sH+wg7CLsJewo7CvsLuwy7DbsOew87EDsQuxF7EfsSexL7E3sTuxQ7FLsVOxX7FnsXOxf7GPsZ+xr7HDsdex67H/sg+yI7IzskOyU7Jfsmeyb7J3sneyd7J3snOya7JjsluyU7JLskOyO7Izsi+yL7IvsjOyN7JDsk+yX7Jzsouyo7K/st+zA7Mjs0uzb7OXs7+z47QLtC+0V7R7tJu0v7TftPu1G7UztU+1Z7V7tY+1o7W3tce117XntfO2A7YPth+2K7Y7tke2V7Zntne2h7abtq+2w7bbtvO3C7cnt0O3X7d/t5+3u7fbt/u4G7g7uFu4e7iXuLO407jvuQu5K7lHuWe5i7mruc+597ojuk+6f7qvuue7H7tbu5e717wXvFe8m7zbvRu9W72Xvc++B747vme+k767vt++/78bvzO/R79bv2u/e7+Hv5O/n7+nv7O/v7/Hv9O/37/rv/fAA8ATwB/AL8A/wFPAZ8B7wJPAq8DDwOPA/8EjwUfBb8GXwcPB88InwlvCk8LLwwPDQ8N/w7vD+8Q7xHvEu8T7xTvFe8W3xffGM8ZvxqvG48cfx1fHi8e/x/PIJ8hXyIfIs8jfyQfJL8lXyXvJo8nHyevKD8o3yl/Kh8qvytvLB8szy2PLl8vLy//MM8xnzJvM080DzTfNY82TzbvN484LzivOS85rzofOp86/zt/O+88XzzvPW8+Dz6vP19AH0DvQb9Cn0N/RF9FT0YvRw9H30ifSU9J/0qfSx9Ln0wPTF9Mv0z/TU9Nj03fTi9Of07fT09Pz1BfUP9Rr1JvUy9T/1TfVa9Wj1dfWC9Y/1mvWk9a71tvW89cH1xfXI9cn1yfXI9cf1xPXA9bz1uPWz9a71qPWj9Z31l/WS9Yz1hvWA9Xr1dPVv9Wr1ZPVf9Vr1VvVS9U71SvVH9UX1QvVA9T71PPU79Tn1OPU29TT1MvUx9S/1LPUq9Sn1J/Um9Sb1JvUn9Sn1LPUx9Tb1PvVG9VD1W/Vn9XT1gfWP9Z31q/W59cb10/Xe9ej18vX69gH2B/YM9hD2E/YW9hr2HfYg9iT2KfYv9jX2PfZG9k/2WvZl9nH2ffaK9pb2ovat9rf2wPbI9s/21PbY9tr22/ba9tj21fbQ9sv2xfa+9rf2r/an9p/2l/aP9of2f/Z39m/2Z/Zg9lj2UfZK9kT2PfY39jH2K/Ym9iH2HPYY9hT2EfYO9gv2CfYH9gX2A/YC9gH2APX/9f/1//YA9gH2A/YG9gr2DvYT9hr2IfYq9jP2PvZJ9lX2YfZt9nr2hvaT9p/2qva09r72yPbQ9tf23vbl9uv28vb49v/3BvcO9xf3Ivcu9zr3SPdY92j3efeL9533rvfA99H34Pfu9/v4BfgO+BT4GPga+Br4GfgW+BL4DfgI+AP3/vf79/n3+ff8+AD4B/gR+B34Lfg++FL4aPiA+Jn4tPjO+On5BPkf+Tj5UPlm+Xr5jPmc+ar5tfm++cT5yfnL+cz5y/nJ+cb5wvm++br5t/m0+bL5sfmy+bT5t/m9+cT5zfnX+eP58fn/+g/6H/ow+kH6Ufpi+nH6gPqO+pv6pvqw+rj6v/rF+sn6zfrP+tH60vrT+tT61vrX+tn63Prf+uP66Pru+vT6+/sC+wr7EvsZ+yH7KPsv+zX7O/tA+0T7SPtL+077UPtS+1T7VvtY+1v7Xvth+2b7a/tw+3b7ffuE+4z7lPuc+6T7rPuz+7v7wfvH+8z70fvV+9j72/vc+9773/vg++H74vvj++T75fvn++r77Pvv+/P79/v7/AD8BfwK/A/8Ffwa/AX8CvwP/BX8Gvwg/Cb8LPwz/Dr8QfxI/E/8V/xf/Gf8b/x3/ID8iPyQ/Jj8oPyo/K/8tfy7/MH8xfzJ/Mv8zfzO/M/8zvzN/Mv8yfzG/MT8wfy+/Lv8ufy3/Lb8tvy3/Ln8vfzB/Mf8z/zY/OL87vz7/Qr9Gv0r/T39UP1k/Xn9jv2j/bj9zv3j/fj+Df4h/jX+R/5Z/mr+e/6K/pj+pv6y/r7+yv7U/t7+6P7y/vv/Bf8O/xj/Iv8s/zj/Q/9Q/13/a/95/4n/mf+p/7v/zP/e//AAAwAUACYANwBIAFgAZgB0AIAAiwCVAJ0ApACqAK0AsACxALEAsACuAKsApwCiAJ4AmACTAI0AhwCCAHwAdgBxAGsAZgBgAFsAVgBRAEwARgBBAD0AOAAzAC8AKwAoACUAIwAiACEAIQAiACMAJQAoACwAMAA1ADkAPgBDAEgATABPAFIAVQBWAFYAVgBUAFIATwBMAEgARAA/ADsANwAzADAALgAsACsAKwAsAC4AMQA0ADgAPABBAEcATABRAFcAXABhAGYAagBuAHIAdgB5AH0AgACDAIYAigCOAJIAlgCaAJ8ApACqAK8AtQC7AMAAxgDLANEA1QDaAN4A4gDlAOgA6wDtAO8A8ADxAPIA8wDzAPQA9AD0APQA8wDzAPMA8gDxAPAA7wDuAO0A7ADqAOkA6ADnAOYA5gDlAOUA5QDmAOcA6ADqAOwA7wDyAPYA+gD/AQQBCQEPARYBHQEkASwBNAE8AUUBTgFXAWABagFyAXsBgwGLAZIBmAGcAaABogGjAaMBoQGdAZcBkAGHAX0BcAFjAVQBRAEzASEBDgD7AOcA0gC9AKgAkwB+AGgAUwA+ACkAFAAA/+v/1//E/7H/n/+O/33/bf9f/1H/Rf85/y//Jv8d/xb/D/8I/wL++/70/u3+5P7b/tD+w/60/qT+kf58/mb+Tf4y/hX99/3X/bf9lv11/VP9Mv0S/PL80/y2/Jr8f/xl/E38Nvwg/Av79/vj+9D7vfup+5X7gfts+1f7Qfsq+xP6+/ri+sn6sPqX+n76ZPpM+jP6G/oE+e752PnD+a/5m/mI+XX5ZPlS+UH5L/ke+Q34/fjs+Nv4yvi4+Kf4lviE+HP4YfhP+Dz4KfgX+AP37/fb98X3sPeZ94H3afdQ9zb3HPcA9uT2x/aq9o32b/ZS9jX2GPX89eD1xfWr9ZH1efVi9Uv1NfUg9Qv09/Tk9ND0vfSq9Jb0g/Rv9Fv0R/Qy9B30CPPz897zyfO086DzjPN582bzVPNC8zLzIfMS8wLy8/Lk8tXyxfK18qXyk/KB8m7yWfJD8izyFPH68d/xw/Gm8Ynxa/FN8S/xEfD08NjwvfCk8IzwdvBi8FDwQfAz8CfwHvAW8BDwDPAI8AbwBPAC7//v/e/57/Xv7u/m793v0e/D77Pvoe+N73fvX+9H7y3vE+747t7uxO6r7pPufe5o7lXuRe427iruIO4Z7hPuD+4M7gruCu4K7gruC+4L7gvuCu4J7gfuBO4B7f7t+u337fPt8O3u7e3t7e3u7fDt9O357f/uB+4P7hfuH+4n7i/uNe467j3uPu487jjuMu4p7h/uEu4E7fbt5+3Z7cztwe247bPtsu217b3tyu3c7fPuDu4u7lLuee6i7szu9+8g70jvbe+N76nvwO/Q79nv2+/W78rvt++e73/vW+8z7wfu2u6r7nzuTe4g7fbtz+2r7YvtcO1Y7UbtN+0s7SXtIe0f7R/tIe0k7SbtKe0s7S3tLu0t7SvtKO0k7R7tF+0Q7QjtAOz47PDs6Ozh7Nvs1ezR7M3syuzJ7MjsyOzJ7MvszezP7NLs1uza7N3s4uzm7Ors7+zz7Pjs/e0B7QbtCu0P7RLtFu0Y7RvtHO0d7RztG+0Z7RXtEe0M7QXs/uz27O7s5uzd7NTszOzE7Lzsteyv7Knspeyh7J7snOyb7Jrsmuya7Jrsmuya7JnsmOyX7JXskuyP7IvshuyB7Hzsduxx7GvsZuxh7F3sWexW7FPsUuxR7FHsUexS7FTsVuxZ7FvsXuxg7GPsZexn7Gnsa+xs7G3sbuxv7G/scOxx7HLsdOx17Hjse+x+7ILshuyL7JDsleyb7KHsp+yt7LLsuOy97MHsxezI7MvszezP7M/s0OzQ7NDsz+zP7M/szuzO7M/sz+zR7NPs1uzZ7N7s4+zp7PDs9+z/7QjtEe0a7STtLu057UPtTe1X7WHta+107X3the2N7ZXtnO2i7ajtru2z7bjtvO3A7cTtx+3K7c3tz+3S7dTt1u3Z7dvt3e3f7eLt5O3n7ert7e3w7fTt9+377gDuBe4J7g/uFO4a7iDuJu4t7jTuO+5C7kruUu5a7mPubO527oDuiu6V7qDurO647sTu0e7e7uvu+e8G7xTvIu8v7zzvSe9V72HvbO9374Hviu+T75vvou+o767vtO+4773vwe/F78nvzO/Q79Tv1+/b79/v4+/o7+3v8e/27/zwAfAH8A3wE/AZ8CDwJ/Av8DbwPvBH8FDwWvBk8G/wevCG8JPwoPCu8LzwyvDa8Onw+fEJ8RnxKfE58UnxWfFp8XnxifGY8ajxt/HG8dXx5PHz8gHyEPIe8i3yO/JJ8lbyZPJx8n7yivKW8qLyrfK48sPyzfLX8uDy6vLz8vvzBPMM8xTzHfMl8y3zNfM980bzTvNW817zZvNt83XzffOE84zzk/Oa86HzqfOw87fzvvPF883z1PPc8+Tz7fP18/70B/QQ9Bn0IfQq9DP0O/RD9Ev0UvRZ9F/0ZfRr9HD0dfR79ID0hfSK9JD0lvSd9KT0rPS09L70yPTT9N706vT39QP1EPUd9Sr1N/VD9U/1WvVk9W31dvV99YT1ifWN9ZD1k/WU9ZT1lPWS9ZD1jfWJ9YX1gPV79XX1b/Vo9WL1W/VU9U31RvVA9Tr1NPUu9Sr1JfUi9R/1HfUb9Rr1GfUZ9Rn1GfUa9Rr1GvUa9Rr1GfUY9Rf1FfUT9RD1DvUM9Qn1CPUH9Qf1B/UJ9Qz1EPUW9R31JvUv9Tr1RvVT9WH1bvV89Yr1mPWl9bL1vfXI9dL12vXi9ej17vXz9ff1+/X/9gL2BvYK9g72E/YZ9iD2J/Yv9jf2QPZJ9lP2XPZl9m72d/Z+9oX2i/aP9pP2lfaV9pT2kvaP9ov2hfZ/9nj2cPZo9mD2V/ZP9kb2PvY39jD2KfYj9h72GfYV9hH2DvYM9gr2CPYH9gb2BfYE9gP2AvYA9f/1/fX79fn19vXz9fH17vXs9er16fXo9ej16PXq9e318fX29f32BPYN9hb2IfYs9jf2Q/ZP9lr2ZfZw9nr2g/aL9pL2mPae9qL2p/ar9q/2tPa59r/2xvbO9tj24/bw9v/3D/ch9zT3SPdd93L3h/ec96/3wvfS9+D37ff29/34AvgE+AT4Aff99/j38ffr9+T33vfa99f31vfY99335ffw9/74EPgk+Dv4Vfhx+I74rfjM+Ov5Cfkm+UL5XPl0+Yn5m/mq+bb5v/nF+cj5yfnI+cX5wfm7+bb5sPmq+aX5ovmf+Z/5oPmk+ar5svm8+cn51/nn+fn6DPog+jT6Sfpe+nL6hvqY+qr6uvrI+tX64Prq+vH69/r8+v/7AvsD+wT7BfsF+wX7BvsH+wn7C/sO+xL7F/sc+yL7KPsv+zb7PvtF+0z7UvtZ+177Y/tn+2v7bvtx+3P7dft2+3f7eft6+3z7f/uB+4X7ifuO+5P7mfug+6b7rvu1+737xPvL+9L72Pve++L75/vq++z77vvv++/77/vu++377Pvr++n76Pvn++f75/vn++j76fvr++378Pv0+/f7+/wA+/j7/Pv//AT8CPwN/BL8F/wd/CP8KPwv/DX8O/xC/Ej8T/xV/Fz8Yvxp/G/8dPx6/H/8g/yH/Iv8jvyQ/JL8k/yT/JP8k/yS/JD8j/yN/Iv8ifyI/Ib8hvyG/Ib8iPyK/I78kvyX/J78pvyv/Ln8xfzR/N787Pz7/Qv9G/0s/T39Tv1f/XH9gv2T/aT9tf3F/dX95f3z/gL+EP4d/ir+N/5D/lD+XP5n/nP+f/6L/pf+pP6x/r/+zf7b/uv++/8M/x3/L/9B/1T/aP98/5D/pP+4/8z/4P/zAAUAFwAnADcARQBSAF4AaABxAHgAfgCCAIYAiACIAIgAhwCFAIIAfwB8AHgAcwBvAGoAZQBhAFwAVwBSAEwARwBBADwANgAvACkAIgAcABUADgAHAAH/+v/0/+//6v/m/+P/4f/f/97/3//g/+L/5P/o/+v/7//z//f/+///AAIABAAGAAcABwAGAAUAAwAA//z/+f/1//H/7f/p/+X/4//g/9//3v/e/9//4f/k/+f/6//w//X/+gAAAAUACwAQABYAGwAfACQAKAAsAC8AMwA3ADoAPgBBAEUASgBPAFQAWQBfAGUAbAByAHkAgACHAI4AlQCbAKEApgCrAK8AswC2ALgAuQC6ALoAuQC4ALYAtACyAK8ArACqAKcApAChAJ8AnQCbAJkAmACXAJYAlgCXAJcAmACaAJsAnQCgAKIApQCoAKwAsAC0ALgAvADBAMcAzADSANgA3gDlAOwA8wD7AQIBCQERARgBHwElASsBMQE1ATkBPAE9AT4BPQE7ATcBMgEsASQBGwERAQYA+QDsAN0AzgC+AK4AnQCLAHkAZwBVAEIALwAcAAn/9v/k/9H/vv+r/5n/hv90/2P/Uf9B/zH/If8T/wX++P7r/uD+1f7L/sH+uP6v/qb+nf6T/or+f/5z/mf+WP5J/jj+Jf4R/fv94/3L/bD9lf14/Vv9Pf0f/QH84/zF/Kj8jPxw/FX8PPwj/Av79Pve+8j7s/uf+4v7dvti+077Ofsk+w/6+frj+sz6tfqe+of6b/pY+kD6KfoS+fz55vnQ+bv5p/mU+YD5bvlc+Ur5Ofko+Rf5Bvj2+OX41fjE+LT4o/iS+IH4cPhf+E74PPgq+Bj4Bvfz9+D3zPe496T3j/d592P3TPc19x33BPbr9tH2t/ac9oH2ZvZM9jH2FvX89eP1yvWx9Zn1gvVr9VX1QPUr9Rf1A/Tv9Nv0x/S09KD0i/R39GP0TvQ59CT0DvP58+Tzz/O686bzkvN/823zW/NK8zrzK/Mc8w7zAPLz8uXy2PLJ8rvyq/Ka8ojydfJg8kryMfIY8fzx3/HB8aLxgvFi8ULxIfEC8OPwxfCq8JDwePBj8FDwQPAy8CjwIPAa8BfwFfAV8BbwGPAa8BzwHfAd8BzwGfAV8A3wBO/47+nv2O/F76/vmO9/72XvSu8w7xXu+u7h7snus+6e7ozufO5v7mTuW+5V7lHuTu5N7k7uT+5R7lTuVu5Z7lvuXO5d7l7uXe5d7lvuWe5X7lXuVO5S7lLuUu5S7lTuV+5a7l/uZO5q7nDudu587oHuhu6J7ovujO6L7ojuhO5+7njucO5o7l/uV+5P7knuRe5E7kXuSe5R7l3ubO6A7pfusu7P7u/vEu8171nvfO+e777v2+/18ArwGvAl8CrwKvAj8BfwBe/u79Lvsu+P72nvQu8Z7vDuyO6g7nvuWO437hruAO3p7dbtxu257a7tpu2h7Z3tmu2Y7Zbtle2U7ZLtj+2M7Yjtg+1+7XftcO1p7WHtWe1R7UrtQ+087TbtMO0r7SjtJO0i7SDtH+0f7R/tH+0g7SHtI+0k7SbtKO0r7S3tL+0y7TXtOO077T3tQe1D7UbtSe1L7U3tT+1Q7VHtUe1Q7U7tTO1J7UXtQe077TbtL+0p7SLtG+0U7QztBuz/7Pjs8uzt7Ofs4+ze7Nrs1uzS7M/szOzI7MXswey+7Lrstuyy7K7squym7KLsnuya7Jbsk+yR7I7sjeyM7Ivsi+yM7I3sjuyQ7JLslOyX7Jnsm+yd7J/soeyi7KPspOyl7KXspuym7Kbspuyn7Kjsqeyq7Kzsruyx7LTst+y77MDsxOzJ7M7s0uzX7Nzs4Ozk7Ojs7Ozv7PLs9Oz27Pjs+ez77Pzs/ez/7QDtAu0F7QjtC+0P7RPtGe0e7SXtLO0z7TvtRO1N7VbtX+1o7XLte+2E7Y3tlu2e7abtru217bztwu3I7c7t0+3Z7d7t4u3n7evt7+307fjt/O4A7gTuCO4M7hDuFO4Y7hzuIO4j7ifuK+4u7jHuNO437jruPe5A7kPuRu5I7kvuTu5S7lXuWe5d7mLuZ+5t7nPueu6B7onuku6b7qbusO687sfu1O7g7u3u+u8I7xXvIu8u7zvvR+9T717vaO9x73rvgu+J75Dvlu+b76DvpO+o76vvr++y77XvuO+877/vw+/I78zv0u/X793v5O/r7/Lv+vAC8ArwE/Ac8CbwL/A68ETwTvBZ8GTwcPB88IjwlfCi8K/wvfDL8Nnw6PD38QXxFfEk8TPxQvFQ8V/xbfF78Ynxl/Gk8bDxvfHJ8dXx4fHs8fjyA/IP8hvyJvIy8j7ySvJX8mPycPJ88ojylfKh8q3yufLE8s/y2vLk8u7y9/MA8wnzEfMY8yDzJ/Mu8zXzPPNC80nzUPNY81/zZvNu83bzf/OH85DzmfOi86vztPO988fz0PPZ8+Lz6vPz8/v0AvQK9BH0F/Qe9CP0KfQu9DP0N/Q89ED0RPRI9Ez0UPRU9Fj0XfRi9Gf0bfRz9Hr0gfSJ9JH0mvSk9K30t/TC9Mz01/Th9Oz09vUA9Qr1E/Uc9SX1LfU09Tv1QfVG9Ur1TvVR9VP1VfVV9VX1VfVT9VH1TvVK9Ub1QfU89Tb1MPUp9SL1G/UU9Q31B/UA9Pv09vTx9O706/Tp9Oj06PTp9Ov07fTw9PP09vT69P71AfUE9Qb1CPUJ9Qn1CfUI9Qb1BPUB9P70+/T49Pb09PTy9PL08vT09Pf0/PUB9Qj1EfUa9ST1MPU89Uj1VfVh9W71evWF9ZD1mvWk9az1tPW69cD1xvXL9c/10/XY9dz14PXl9er18PX29f32BPYM9hT2HfYl9i72NvY+9kb2TPZS9lf2W/Ze9l/2YPZf9l32WvZV9lD2S/ZE9j72N/Yw9in2IvYc9hb2EfYN9gr2B/YF9gT2BPYE9gX2BvYI9gr2DPYO9g/2EfYS9hP2E/YU9hP2E/YS9hL2EfYQ9hD2EPYR9hP2FfYZ9h32I/Yp9jD2OPZB9kv2VPZe9mj2cvZ79oT2i/aS9pj2nPag9qL2pPal9qX2pvam9qb2p/ap9q32sfa49sH2y/bY9uf2+PcL9x/3NfdM92P3e/eS96j3vffR9+P38vf/+An4EfgW+Bn4GvgY+BX4EfgM+Af4Avf/9/z3+/f9+AH4B/gR+B34LPg++FL4afiC+Jv4tvjR+Oz5B/kg+Tj5Tvli+XP5gvmO+Zf5nfmg+aH5ofme+Zr5lfmQ+Yr5hvmC+X/5fvl/+YL5h/mP+Zn5pvm1+cb52fnu+gT6G/oz+kv6ZPp7+pL6qPq9+tD64vrx+v/7C/sV+x37JPsq+y77Mfsz+zX7Nvs4+zn7O/s9+0D7Q/tH+0z7UvtY+1/7Zvtu+3X7ffuF+4z7k/uZ+5/7pPup+6z7r/uy+7P7tfu2+7b7t/u3+7j7ufu6+7z7vvvA+8T7x/vM+9D71fvb++D75fvr+/D79Pv5+/z7//wC/AT8BfwF/AX8BPwC/AH7/vv8+/r79/v1+/L78Pvv++377Pvs++z77fvu+/D78vv1+9f72fvc+9/74/vn++z78fv2+/z8AfwH/A38E/wZ/B/8Jfwr/DD8Nfw6/D78QvxG/En8TPxO/FD8UfxS/FL8UvxS/FL8UfxR/FH8UfxR/FH8UvxT/FX8V/xa/F78Y/xo/G78dPx8/IT8jPyV/J/8qPyz/L38yPzS/N385/zy/Pz9B/0R/Rv9Jf0u/Tj9Qf1L/VT9Xv1n/XH9e/2G/ZH9nP2o/bX9wv3Q/d797v3+/g/+If40/kf+W/5w/ob+nP6z/sv+4v76/xL/K/9D/1r/cv+I/5//tP/I/9z/7v//AA8AHQAqADYAQABJAFAAVgBaAF4AYABiAGIAYgBhAF8AXQBbAFgAVQBSAE4ASwBHAEMAPgA5ADUALwApACMAHQAWAA8AB/////f/7v/m/93/1f/M/8T/vf+1/6//qf+k/5//nP+Z/5b/lf+U/5P/k/+T/5P/k/+U/5T/lP+T/5L/kf+P/43/iv+H/4T/gP99/3r/dv9z/3H/b/9t/23/bf9t/2//cf9z/3f/e/9//4T/if+O/5T/mf+f/6T/qv+v/7X/uv+//8T/yf/P/9T/2v/g/+f/7v/1//0ABQAOABcAIAAqADMAPQBGAE8AVwBfAGYAbABxAHUAeQB7AHwAfAB7AHgAdQByAG0AaABjAF0AWABSAE0ASABEAEAAPAA6ADgANwA3ADgAOQA7AD4AQQBFAEkATgBTAFkAXgBkAGoAcAB2AHwAggCIAI0AkwCZAJ8ApQCqALAAtQC6AL8AwwDHAMsAzgDQANEA0gDSANAAzgDLAMYAwAC6ALIAqQCfAJQAiAB8AG8AYQBTAEQANQAmABcACP/6/+v/3P/N/7//sf+j/5X/h/95/2v/Xf9P/0H/Mv8k/xX/B/74/ur+2/7M/r7+r/6h/pP+hf53/mn+W/5N/j/+Mf4j/hT+Bf32/eX91f3D/bH9nv2K/Xb9YP1K/TP9HP0D/Ov80vy5/J/8hvxs/FP8Ovwh/An78fvZ+8H7qvuT+3z7ZvtP+zn7IvsM+vX63/rI+rH6mvqD+mz6Vfo/+ij6Efn7+eX50Pm7+af5k/l/+Wz5WflH+Tb5JPkT+QL48vjh+NH4wPiw+J/4jvh++G34XPhK+Dn4J/gW+AT38vfg9873vPeq95f3hPdx9173S/c39yP3D/b69uX20Pa69qT2jvZ39mH2SvYz9hz2BvXv9dn1wvWt9Zf1gvVs9Vj1Q/Uv9Rv1B/Ty9N70yvS29KH0jfR49GP0TvQ49CP0DfP48+PzzvO586XzkvN/823zW/NK8zrzK/Mc8w3y//Lw8uLy0/LE8rTyo/KS8n7yavJT8jzyIvIH8evxzfGv8Y/xb/FP8S7xDvDw8NLwtvCc8IPwbvBb8EvwPvA08C3wKPAm8CbwKPAs8DDwNfA68D/wRPBG8EjwR/BE8D/wN/As8B/wD+/97+nv0u+776Lvie9v71bvPe8l7w/u++7p7tnuzO7B7rnus+6w7q7ur+6x7rXuue6+7sTuye7O7tPu1+7a7tzu3e7e7t3u3O7a7tfu1O7R7s/uzO7K7sjuyO7I7sjuyu7M7s7u0e7U7tju2+7e7uHu5O7m7ufu5+7o7ufu5u7m7uXu5e7l7ubu6O7s7vLu+e8D7w/vHe8t7z/vU+9p74Dvl++v78bv3e/z8AbwGPAm8DLwOvA+8D7wOvAx8CbwFvAC7+zv0u+375nve+9b7zzvHO797t/uw+6p7pDuee5l7lLuQu407ifuHO4S7gruA+387fbt8O3q7eXt3+3Z7dPtze3H7cDtuu207a7tqO2i7Z3tmO2U7ZDtje2K7Yjthu2E7YLtge2A7X/tfe187Xvtee137XXtc+1x7W/tbe1q7WjtZu1l7WPtYu1h7WHtYO1g7WHtYe1i7WLtY+1j7WTtZO1k7WPtYu1h7V/tXe1a7VftVO1Q7UztSO1D7T7tOe0z7S7tKO0j7R7tGO0T7Q3tCO0C7P3s+Ozz7O7s6ezk7N/s2+zX7NPs0OzN7MrsyOzG7MXsxOzE7MPsxOzE7MXsx+zI7Mrsy+zN7M/s0OzS7NTs1ezW7Nfs2OzZ7Nrs2+zc7N3s3uzf7ODs4uzk7Obs6Ozr7O3s8ez07Pfs+uz97QDtA+0G7QntC+0N7Q/tEO0R7RLtE+0T7RTtFO0V7RbtF+0Y7RrtHe0f7SPtJ+0s7TLtOO0/7UftT+1Y7WHtau1z7X3th+2R7Zrto+2s7bXtve3F7c3t0+3a7eDt5e3r7e/t9O347fzuAO4E7gjuDO4R7hXuGe4e7iPuKO4t7jLuN+497kPuSO5O7lTuWe5e7mTuae5t7nLudu567n7ugu6F7ojujO6P7pLulu6Z7p3uoe6m7qvusO627r3uxO7M7tTu3e7m7vDu+u8E7w/vGu8k7y/vOe9D703vV+9g72jvb+92733vgu+H74zvj++T75XvmO+a75zvn++h76Pvpu+p76zvsO+077nvvu/F78vv0+/b7+Pv7O/28ADwC/AW8CLwLvA68EfwVfBi8HDwf/CN8JzwrPC78Mvw2/Dq8PrxCvEa8SnxOfFI8VbxZfFy8X/xjPGY8aPxrvG58cLxzPHV8d7x5vHv8ffx//II8hHyGvIj8i3yN/JB8kvyVvJi8m3yefKE8pDynPKn8rLyvvLI8tPy3fLn8vHy+vME8w3zFvMf8yfzMfM680PzTfNX82LzbfN484TzkfOd86rzt/PE89Lz3/Ps8/j0BPQQ9Br0JfQu9Db0PvRE9Er0T/RS9Fb0WPRa9Fv0XPRc9Fz0XfRd9F30XvRf9GH0Y/Rm9Gn0bfRy9Hf0fPSD9In0kPSY9J/0p/Sv9Lf0v/TG9M701fTc9OL06PTu9PP0+PT99QH1BPUH9Qr1DPUO9Q/1EPUQ9RD1D/UN9Qr1B/UD9P/0+fTz9O305vTe9Nf0z/TH9L/0t/Sw9Kr0pPSf9Jv0mPSW9Jb0lvSY9Jv0n/Sk9Kn0r/S29Lz0w/TK9ND01fTa9N704vTk9Ob05vTm9Ob05PTi9OD03vTc9Nr02PTX9Nf02PTa9Nz04PTl9Or08fT49QD1CfUS9Rv1JPUt9Tb1PvVG9U71VfVc9WL1aPVt9XL1d/V89YH1hvWM9ZL1mfWg9af1sPW59cL1zPXX9eH17PX39gL2DPYV9h/2J/Yu9jX2OvY+9kH2QvZD9kL2QPY+9jv2N/Yy9i72KfYk9iD2G/YX9hT2EfYP9g32DfYN9g32D/YR9hP2FvYa9h32IfYm9ir2L/Y09jn2P/ZF9kv2UfZY9mD2aPZw9nn2g/aN9pf2ovat9rj2w/bO9tj24fbq9vH29/b89wD3AfcB9wD2/fb59vP27fbl9t721vbP9sj2w/a/9r32vfbA9sT2zPbX9uT29PcG9xv3MfdJ92L3fPeW97D3yffh9/f4DPgf+C/4PfhJ+FL4WPhd+GD4Yfhi+GH4YPhf+F/4X/hh+GT4aPhv+Hf4gfiN+Jv4q/i7+Mz43vjw+QL5E/kj+TL5QPlL+VT5XPlh+WT5Zflk+WH5XflZ+VP5TflI+UP5P/k8+Tv5PflA+Ub5TvlZ+Wf5d/mJ+Z75tfnN+ef6Afoc+jf6U/pt+of6oPq4+s764vr0+wX7E/sg+yv7NPs8+0L7SPtM+1D7U/tW+1n7XPtg+2T7aPtt+3P7efuA+4f7jvuW+577pvuu+7b7vvvF+8v70fvX+9v73/vi++X75/vo++n76vvq++r76/vr++v77Pvs++377/vw+/L79Pv3+/n7/Pv+/AD8AvwE/Ab8B/wI/Aj8B/wG/AX8A/wA+/37+vv3+/P77/vr++j75Pvg+9372/vY+9b71fvU+9T71PvW+6D7ofuj+6b7qfut+7L7t/u9+8P7yfvP+9b73Pvj++n77/v1+/r7/vwD/Ab8CfwM/A78D/wQ/BH8EfwR/BD8EPwP/A/8D/wP/A/8EPwS/BT8F/wb/B/8JPwq/DD8N/w//Ef8T/xY/GD8afxy/Hr8gvyK/JL8mPyf/KT8qvyu/LL8tvy5/Lz8v/zC/MX8yPzL/M/80/zY/N785fzu/Pf9Av0O/Rv9Kv06/Uv9Xv1y/Yf9nv21/c795/4B/hz+N/5S/m7+if6l/sD+2/72/xD/Kf9B/1n/b/+F/5n/rP++/87/3f/r//cAAwANABYAHQAkACkALgAxADQANgA4ADgAOAA4ADcANgA0ADIALwAsACkAJQAgABwAFgAQAAoAA//7//P/6//i/9n/0P/G/7z/sv+o/5//lf+M/4L/ef9x/2n/Yf9a/1P/Tf9H/0H/PP83/zL/Lf8p/yT/IP8b/xb/Ev8N/wn/BP8A/vz++P70/vH+7v7r/un+6P7n/uf+6P7p/ur+7f7w/vP+9/77/v//BP8J/w7/E/8Y/x3/I/8o/y7/M/85/z//Rf9M/1P/W/9j/2z/df9+/4n/k/+e/6n/tf/B/8z/1//i/+z/9v//AAcADgATABgAGwAdAB0AHAAaABcAEwAOAAkAA//8//b/7//p/+P/3f/Y/9T/0P/O/83/zP/N/8//0f/V/9n/3v/k/+v/8v/5AAAACAAQABgAIAAoAC8ANwA+AEUASwBRAFcAXQBiAGYAagBtAHAAcgB0AHQAdABzAHEAbgBpAGQAXgBXAE4ARQA6AC8AIwAWAAn/+//s/97/z//A/7H/o/+V/4f/ev9u/2H/Vv9L/0D/Nv8s/yP/Gf8Q/wf+/f70/ur+3/7U/sj+vP6w/qL+lP6F/nb+Zv5V/kT+M/4h/g/9/P3q/df9xP2x/Z79jP15/Wb9U/1A/S39G/0I/PX84vzP/Lz8qPyV/IH8bfxZ/ET8MPwb/Ab78Pvb+8T7rvuX+4D7aftR+zn7IfsJ+vD61/q++qX6jPpz+lr6Qfoo+hD5+Png+cr5s/md+Yj5c/lf+Uv5OPkm+RT5A/jx+OH40PjA+LD4oPiP+H/4b/hf+E74Pvgt+Bz4Cvf59+j31vfF97T3oveR93/3bvdc90v3Ovco9xf3Bvb09uP20fa/9q32m/aJ9nb2ZPZR9j32KvYX9gP18PXc9cj1tfWh9Y31evVm9VL1P/Ur9Rf1A/Tv9Nv0x/Sy9J70ifR09F/0SvQ19CD0C/P28+LzzfO686bzk/OA827zXfNM8zvzK/Mb8wvy+/Lr8tvyy/K58qfylPKA8mvyVPI88iPyCPHt8dDxsvGU8XXxVvE38Rjw+vDe8MPwqfCS8H3wavBb8E7wQ/A88DfwNfA18DfwOvA/8EXwS/BR8FjwXfBh8GPwY/Bi8F7wWPBP8ETwN/Ao8BbwBO/v79rvxe+v75rvhe9x71/vT+9A7zPvKe8h7xzvGO8X7xjvGu8e7yPvKe8v7zbvPe9D70nvTu9R71XvV+9X71fvVu9U71HvTu9K70fvQ+9A7zzvOu847zfvN+847znvPO8/70PvR+9M71LvWO9e72Pvau9w73bvfO+C74jvju+U75vvou+p77Hvuu/D783v1+/i7+7v+vAG8BPwH/Ar8DbwQPBJ8FDwVvBa8FzwW/BY8FLwSvBA8DPwJPAT8ADv6+/V777vpu+O73XvXe9F7y3vFu8A7uvu1+7E7rLuou6T7oTud+5r7l/uVO5K7kHuN+4v7ifuH+4X7hDuCe4D7f3t9+3y7e7t6u3m7ePt4e3f7d3t3O3b7drt2e3Y7djt1+3V7dTt0u3P7cztyO3E7cDtu+227bDtq+2l7Z/tmu2U7Y/tiu2G7YLtf+187XrteO137Xftd+137XfteO157Xrte+187X3tfe1+7X7tfe187Xvteu147XXtc+1w7Wztae1l7WDtXO1X7VPtTu1J7UTtP+067TXtMO0s7SftI+0f7RvtGO0V7RLtD+0N7QvtCe0H7QbtBe0F7QTtBO0E7QTtBO0E7QXtBe0G7QbtB+0I7QjtCe0K7QvtDO0N7Q/tEO0S7RTtFu0Y7RrtHO0f7SHtI+0l7SjtKe0r7S3tLu0u7S/tL+0v7S7tLe0s7SvtKu0o7SftJe0k7SPtI+0j7SPtJO0m7SntLe0x7TbtPO1D7UrtUu1b7WXtb+167YTtj+2b7abtse287cbt0O3a7eTt7O317fzuBO4K7hDuFe4b7h/uI+4n7ivuL+4y7jbuOe497kDuRO5J7k3uUu5X7lzuYu5o7m7udO577oLuie6Q7pfunu6l7qzus+667sDux+7N7tTu2u7g7ubu7O7x7vfu/e8D7wjvDu8U7xrvIe8n7y3vM+8670DvR+9N71PvWe9f72Tvae9u73Pvd+97737vge+D74Xvh++J74rvi++M747vju+Q75Hvku+U75fvme+c76Dvpe+p76/vte+878TvzO/V79/v6e/08ADwDfAa8CfwNvBE8FPwY/Bz8IPwlPCl8Lbwx/DX8Ojw+fEJ8RnxKPE38UbxU/Fg8W3xefGE8Y/xmfGi8avxtPG88cTxzfHU8d3x5fHt8fbx//II8hLyHfIn8jPyPvJK8lbyYvJv8nvyiPKV8qHyrvK68sby0vLe8uny9fMA8wzzF/Mj8y/zO/NI81XzY/Nx83/zjvOe867zvvPP8+Dz8fQC9BL0I/Qy9EH0T/Rd9Gn0c/R99IX0jPSR9JX0mPSZ9Jn0mPSW9JP0kPSM9Ij0g/R/9Hv0d/Rz9HD0bfRr9Gr0afRp9Gr0bPRu9HH0dPR39Hv0f/SD9Ij0jPSR9JX0mvSe9KL0pvSq9K70sfS19Lj0u/S+9MD0w/TF9Mb0x/TI9Mj0x/TG9MT0wfS99Lj0s/St9Kb0nvSV9I30hPR69HH0aPRf9Ff0T/RJ9EP0P/Q89Dr0OvQ79D70QvRH9E30VfRd9Gb0b/R59IP0jPSV9J70pvSt9LP0uPS89L/0wfTC9MP0w/TC9MH0v/S+9Lz0u/S69Ln0ufS69Lv0vfS/9MP0xvTK9M/01PTZ9N705PTp9O/09fT69P/1BfUK9RD1FfUb9SH1KPUv9Tb1PvVH9VD1WvVl9XD1fPWI9ZX1o/Ww9b71y/XZ9eb18vX+9gj2EvYb9iP2KfYu9jL2NfY39jf2N/Y19jP2MPYt9in2JfYh9h32GvYX9hT2EvYR9hH2EfYT9hX2GfYd9iP2KvYy9jv2RfZR9l32a/Z59oj2mPap9rv2zfbf9vH3BPcW9yj3OfdK91n3Z/dz9373h/eN95L3lPeT95H3i/eE93v3b/di91T3Rfc19yb3FvcI9vr27vbl9t322fbX9tn23fbm9vH2//cR9yX3PPdV92/3i/eo98T34ff9+Bj4MfhJ+F/4c/iF+JT4ofit+LX4vfjC+Mf4yvjN+M/40fjU+Nf42vje+OP46fjw+Pf4//kI+RD5Gfki+Sr5Mvk5+T75QvlF+Ub5RvlF+UH5Pfk3+TH5Kfki+Rr5E/kN+Qf5A/kB+QH5A/kI+Q/5Gfkl+TX5R/lb+XL5i/ml+cH53vn8+hr6OPpW+nP6j/qq+sP62/rx+wX7F/sn+zb7QvtN+1b7Xftk+2n7bvty+3X7ePt7+3/7gvuG+4r7jvuT+5n7nvuk+6v7sfu4+7/7xfvM+9L72Pvd++L75vvq++378Pvy+/T79fv1+/b79vv2+/b79fv1+/T79Pv0+/P78/vz+/P78/vz+/P78/vy+/L78fvw++777Pvq++f75Pvh+9372fvU+8/7y/vG+8H7vPu3+7L7rvuq+6f7pPui+6D7oPuf+2r7avtr+2z7b/ty+3b7evt/+4X7i/uR+5f7nvuk+6r7sfu2+7v7wPvF+8j7y/vO+9D70vvT+9P71PvU+9T71PvU+9X71fvX+9j72/ve++L75vvs+/L7+PwA/Aj8EPwZ/CH8Kvwz/Dv8RPxL/FP8Wfxe/GP8Z/xq/Gz8bvxu/G78bfxs/Gv8afxo/Gf8Zvxm/Gf8afxs/HD8dvx9/Ib8kfye/Kz8vPzO/OH89v0M/ST9Pf1X/XL9jf2q/cb94/4A/h3+Of5W/nH+jf6n/sH+2v7y/wn/H/80/0f/Wv9s/3z/jP+a/6j/tP+//8r/0//c/+P/6v/w//X/+f/9AAAAAgADAAQABAAEAAMAAf////z/+P/0/+//6v/k/97/1//Q/8j/wP+4/6//pv+d/5P/iv+A/3b/bf9j/1n/UP9G/z3/M/8q/yH/GP8P/wf+/v71/u3+5P7c/tT+zP7E/r3+tf6u/qf+of6b/pX+kf6M/oj+hf6D/oH+gP5//oD+gP6C/oT+hv6J/oz+kP6T/pf+m/6f/qT+qP6t/rH+tv66/r/+xf7K/tD+1v7d/uT+6/70/vz/Bv8Q/xr/Jf8w/zz/R/9T/1//av91/3//if+S/5r/of+n/6v/r/+x/7H/sf+w/63/qv+l/6H/m/+V/4//iv+E/3//ev92/3L/b/9u/23/bf9u/3D/c/93/3z/gv+I/47/lv+d/6X/rf+1/73/xf/N/9T/3P/j/+n/7//1//r//wADAAYACQALAAwADQANAAwACQAGAAP//v/4//H/6f/g/9b/y//A/7P/pv+Z/4v/fP9u/1//Uf9D/zX/J/8a/w7/Av72/uz+4v7Y/tD+x/7A/rj+sf6p/qL+mv6T/or+gf54/m3+Yv5W/kn+O/4s/hz+C/36/ef91f3B/a39mf2E/XD9W/1G/TL9Hv0K/Pf85PzR/L/8rvyc/Iz8e/xr/Fv8S/w7/Cv8G/wL+/r76fvX+8X7svuf+4v7dvth+0v7NPsc+wT67PrT+rn6n/qF+mv6Ufo3+h36A/nq+dH5uPmh+Yn5c/ld+Uj5M/kg+Qz4+vjo+Nb4xfi0+KT4lPiD+HP4ZPhU+ET4NPgk+BT4BPfz9+P30vfC97H3oPeQ93/3b/de9073Pvcu9x33Dfb99u323fbO9r72rvad9o32ffZs9lv2SvY59ij2FvYE9fL14PXO9bz1qfWW9YT1cfVe9Ur1N/Uk9RH0/fTq9Nb0wvSu9Jv0hvRy9F/0S/Q39CP0D/P88+nz1vPD87HzoPOO833zbPNc80zzO/Mr8xvzC/L78ury2fLH8rTyoPKL8nbyX/JH8i7yFPH58d3xwfGk8YfxavFN8THxFfD78OLwyvC18KHwkPCB8HTwavBi8F3wWvBY8FnwW/Be8GLwZ/Bs8HDwdfB48HvwfPB78HnwdfBv8GjwXvBT8EbwOPAp8BnwCO/47+fv1+/H77jvq++f75Tvi++E73/ve+9573jvee97737vgu+H74vvkO+V75rvnu+i76XvqO+p76vvq++r76rvqe+o76bvpe+j76Lvou+i76Lvo++l76jvq++w77Xvu+/B78jv0O/Y7+Dv6e/x7/rwA/AM8BXwH/Ao8DHwOvBD8EzwVfBe8GfwcPB58IHwifCR8Jjwn/Cl8KrwrvCx8LLwsvCx8K7wqfCj8JvwkfCG8Hnwa/Bb8ErwOPAl8BLv/e/p79Tvv++q75bvgu9u71vvSe847yfvF+8H7vnu6+7e7tHuxu667rDupe6c7pLuiu6B7nnucu5r7mTuX+5Z7lTuT+5L7kfuRO5B7j7uO+457jfuNO4y7jDuLu4r7ijuJe4h7h7uGe4V7hDuC+4F7gDt+u307e7t6O3i7dzt1+3S7c3tye3F7cLtvu287brtuO227bXttO2z7bPts+2y7bLtsu2x7bHtse2w7a/tru2t7avtqu2o7abtpO2h7Z/tnO2Z7Zbtk+2P7Yztie2F7YLtfu177XftdO1x7W3tau1n7WTtYu1f7V3tWu1Y7VbtVe1T7VLtUe1P7U/tTu1N7UztTO1M7UztS+1L7UvtS+1M7UztTO1N7U3tTu1P7VDtUe1S7VPtVO1V7VbtV+1Y7VjtWe1Z7VntWe1Z7VntWO1X7VbtVO1T7VHtT+1N7UvtSe1H7UbtRO1D7UPtQ+1E7UXtR+1K7U7tUu1Y7V7tZe1t7XbtgO2K7ZXtoO2s7bjtxe3S7d7t6+337gPuDu4Z7iTuLu437kDuR+5O7lXuWu5f7mPuZ+5q7m3ub+5y7nTudu547nrufe5/7oPuhu6L7o/ule6b7qHuqO6w7rjuwe7K7tPu3O7m7vDu+u8D7w3vFu8f7yjvMO8470DvR+9O71TvWe9f72PvaO9s72/vc+9273jve+9973/vge+D74Xvhu+I74nviu+L743vju+O74/vkO+R75Lvku+T75Tvle+V75fvmO+Z75vvnO+f76HvpO+o76zvse+277zvw+/K79Lv2+/l7+/v+vAG8BPwIPAu8DzwS/Bb8GrwevCL8Jvwq/C88Mzw3PDr8PrxCfEX8SXxMvE+8UvxVvFh8WzxdvGA8Ynxk/Gc8abxr/G58cPxzfHY8ePx7/H78gjyFfIi8jDyPvJN8lzya/J68onymPKn8rXyxPLS8uDy7vL88wnzFvMj8zDzPfNL81jzZvN084LzkfOh87DzwfPR8+Lz8/QF9Bb0J/Q49En0WfRp9Hj0hfSS9J30p/Sv9Lb0vPS/9ML0wvTC9L/0vPS49LP0rfSm9J/0mPSQ9In0gfR69HT0bvRp9GT0YPRd9Fv0WfRY9Ff0V/RY9Fn0W/Rd9F/0YvRk9Gj0a/Ru9HH0dfR49Hz0f/SD9If0ivSN9JH0lPSW9Jn0m/Sc9J30nfSd9Jv0mfSW9JL0jfSH9IH0efRx9Gn0X/RW9E30Q/Q69DH0KfQi9Bz0F/QU9BH0EPQR9BP0F/Qc9CL0KvQz9Dz0R/RR9Fz0Z/Ry9H30h/SQ9Jn0oPSn9Kz0sPS09Lb0t/S39Lf0tvS09LL0sPSu9Kz0qvSp9Kj0p/Sn9Kj0qfSs9K70svS19Lr0v/TE9Mr00PTW9N305PTr9PL0+fUB9Qj1EPUY9SH1KfUz9Tz1RvVQ9Vr1ZfVx9Xz1iPWU9aD1rPW49cP1z/Xa9eT17vX49gD2CPYP9hT2GfYd9iD2I/Yk9iX2JfYk9iP2IvYg9h/2HfYc9hz2HPYc9h72IfYk9in2L/Y29j/2SvZV9mP2cfaB9pP2pva69s/25Pb79xL3KfdA91f3bfeC95f3qve798v32ffk9+338/f39/j39vfx9+r34PfU98b3t/el95P3gfdu91v3Sfc59yr3HfcS9wr3BPcC9wP3CPcP9xv3Kfc69073ZPd895b3sffN9+r4Bvgi+D74WPhx+In4nviy+MT41Pji+O74+PkB+Qj5DvkT+Rj5G/kf+SL5Jfkp+Sz5MPkz+Tf5O/lA+UP5R/lK+U35TvlP+U/5TvlM+Uj5Q/k++Tf5L/kn+R75FfkM+QP4+/j0+O746vjo+Oj46vjv+Pb5APkN+R35L/lD+Vr5c/mO+ar5yPnm+gX6JPpD+mL6gPqc+rj60frp+v/7FPsm+zb7RPtQ+1v7Y/tr+3D7dft5+3z7fvuA+4L7g/uF+4f7ifuL+477kfuV+5n7nfuh+6b7q/uw+7X7uvu/+8P7x/vL+8770PvT+9T71vvW+9f71/vW+9X71PvT+9L70PvP+837zPvK+8n7x/vG+8X7w/vC+8H7wPu++7z7uvu4+7b7s/uw+637qful+6H7nfuY+5P7jvuJ+4T7gPt7+3f7c/tw+277bPtq+z37O/s6+zr7Ovs7+z37QPtD+0b7S/tP+1T7Wftf+2T7avtv+3T7eft9+4L7hvuJ+4z7j/uS+5T7lvuY+5r7nPue+6H7pPun+6v7r/u0+7r7wPvH+8771fvd++b77vv3+//8CPwQ/Bf8Hvwk/Cr8Lvwy/DT8Nvw2/Db8Nfwz/DD8Lfwp/Cb8Ivwf/Bz8GvwY/Bj8Gfwb/B/8JPws/DX8QPxN/Fz8bPx//JP8qfzA/Nj88v0M/Sj9Q/1g/Xz9mf21/dH97f4J/iT+Pv5X/m/+h/6d/rP+x/7b/u7+//8Q/yD/L/89/0r/Vv9i/23/dv+A/4j/j/+W/5z/ov+m/6r/rf+w/7H/s/+z/7L/sf+w/63/qv+n/6P/nv+a/5T/jv+I/4L/e/90/2z/Zf9d/1X/Tf9E/zz/NP8r/yL/Gf8Q/wf+/v71/uv+4f7Y/s7+xP66/rD+pv6d/pP+iv6B/nj+b/5n/mD+Wf5T/k3+SP5E/kH+Pv48/jv+Ov46/jv+Pf4//kH+RP5H/kr+Tv5R/lX+Wf5d/mH+Zf5p/m3+cf51/nn+fv6C/of+jf6S/pj+n/6m/q3+tf6+/sf+0P7Z/uP+7P72/wD/Cf8S/xr/Iv8q/zD/Nf86/z7/QP9C/0P/Qv9B/z//Pf85/zb/Mv8u/yr/Jv8i/x7/G/8Z/xf/F/8X/xf/Gf8b/x//I/8n/y3/Mv85/0D/Rv9O/1X/XP9j/2r/cP92/3z/gv+G/4v/jv+R/5P/lf+W/5b/lv+V/5P/kP+N/4n/hP9//3j/cf9p/2H/V/9N/0P/N/8s/x//E/8G/vj+6/7e/tD+w/62/qn+nP6Q/oX+ev5v/mX+W/5S/kr+Qf45/jL+Kv4i/hv+E/4K/gL9+P3v/eT92f3N/cH9s/2l/Zb9hv11/WT9U/1B/S79G/0J/Pb84/zQ/L78rPya/In8ePxo/Fj8SPw5/Cr8HPwO/AD78vvk+9b7yPu6+6v7nPuM+3z7avtZ+0b7M/sf+wr69frf+sj6sfqa+oL6afpR+jn6IPoI+fD52PnA+an5kvl8+Wb5Ufk8+Sj5FPkB+O/43fjL+Lr4qfiZ+Ij4ePho+Fj4SPg4+Cn4GfgJ9/n36vfa98r3uver95v3i/d892z3XfdN9z73L/cg9xD3Afby9uP20/bE9rT2pfaV9oX2dPZk9lP2QvYx9iD2DvX89er12PXF9bP1oPWN9Xv1aPVV9UL1L/Uc9Qj09fTi9M/0vPSp9Jb0g/Rw9F70S/Q49Cb0FPQC8/Dz3/PO873zrfOd843zfvNu81/zUPNB8zLzI/MU8wTy9PLj8tLywPKt8pnyhfJv8lnyQvIq8hHx+PHf8cXxq/GR8XjxX/FH8S/xGfEF8PLw4PDQ8MPwt/Ct8KXwnvCa8JfwlvCV8JbwmPCa8Jzwn/Ch8KPwpPCk8KPwofCe8Jnwk/CM8IPwevBv8GPwV/BK8D3wMPAj8BbwCu/+7/Pv6e/g79nv0u/N78jvxe/D78Lvwu/D78Xvx+/K783v0O/T79fv2u/e7+Hv5O/n7+rv7O/v7/Hv8+/17/fv+e/77/7wAPAD8AbwCfAM8BDwFPAY8B3wIvAn8C3wM/A68EHwSPBQ8FnwYfBr8HTwf/CJ8JTwn/Cr8LfwwvDO8Nrw5vDx8PzxBvEQ8RjxIPEm8SvxLvEw8TDxL/Es8SfxIPEY8Q7xAvD18Ofw2PDH8LbwpPCS8H/wbfBa8EjwNfAj8BLwAe/x7+Lv0+/F77jvq++g75Tvie9/73Xva+9i71nvUO9H7z7vNe8s7yPvGu8R7wju/+727u3u5e7c7tPuyu7C7rnuse6p7qHumu6S7ovuhe5+7njucu5s7mfuYu5d7ljuU+5P7kvuR+5D7j/uO+447jTuMe4u7iruJ+4k7iDuHe4a7hfuFO4Q7g3uCu4H7gTuAO397frt9+307fHt7u3r7ent5u3j7eHt3u3c7dnt1+3V7dLt0O3O7cvtye3G7cPtwe2+7bvtue227bPtse2u7aztqu2o7abtpO2i7aHtoO2f7Z7tne2d7Z3tnO2d7Z3tne2d7Z7tnu2e7Z/tn+2f7Z/tn+2f7Z/tn+2f7Z7tnu2d7Z3tnO2c7Zvtm+2a7Zrtmu2Z7Zntme2Y7ZjtmO2X7Zftl+2W7Zbtle2V7ZTtk+2T7ZLtke2R7ZHtke2R7ZHtk+2U7ZbtmO2c7aDtpO2q7bDtt+2/7cjt0e3b7ebt8e397gnuFu4i7i/uO+5I7lTuYO5r7nXuf+6I7pDumO6e7qTuqO6s7rDusu607rbut+647rjuue667rvuvO6+7sDuw+7H7svu0O7W7tzu5O7s7vTu/e8G7xDvGu8k7y7vOO9B70vvVO9c72XvbO9z73nvfu+D74jvi++O75Hvk++V75bvl++Y75nvme+a75vvm++c753vn++g76Hvo++l76fvqe+r767vsO+y77Xvt++577zvvu/B78Pvxu/J78vvzu/S79bv2e/e7+Pv6O/u7/Xv/PAE8AzwFvAg8CrwNvBB8E7wW/Bo8HbwhPCT8KHwr/C+8Mzw2vDo8PXxAvEP8RvxJ/Ey8T3xR/FR8VvxZfFv8XnxgvGM8ZfxofGs8bjxxPHQ8d3x6/H58gjyGPIo8jjySfJa8mzyffKP8qHysvLE8tXy5fL28wbzFvMl8zTzQ/NS82DzbvN884rzmPOm87TzwvPR89/z7vP89Av0GvQo9Df0RfRT9GH0bfR69IX0j/SY9KH0qPSt9LL0tfS39Lf0t/S19LL0rvSq9KT0nvSY9JH0i/SE9H30d/Rx9Gz0Z/Ri9F/0W/RZ9Ff0VvRW9Fb0V/RY9Fr0XPRe9GH0ZPRn9Gr0bvRy9HX0efR99IH0hPSI9Iz0j/ST9Jb0mfSb9J70oPSh9KL0ovSi9KH0n/Sd9Jn0lfSR9Iv0hfR/9Hj0cfRp9GL0WvRT9E30R/RB9D30OvQ39Df0N/Q49Dv0P/RE9Ev0UvRa9GT0bfR39IL0jPSW9KD0qfSy9Lr0wfTH9Mz0z/TS9NT01fTV9NT00/TR9M/0zfTK9Mj0xvTF9MT0xPTE9Mb0yPTM9ND01fTb9OL06vTy9Pv1BfUP9Rn1I/Ut9Tf1QfVL9VX1XvVn9W/1d/V/9Yb1jfWU9Zr1oPWm9av1sPW29bv1wPXF9cn1zvXT9dj13fXi9ef17PXx9fX1+vX/9gT2CPYN9hL2F/Yb9iD2JfYr9jD2NvY89kP2SvZR9ln2YvZs9nb2gfaN9pr2qPa39sb21vbo9vn3DPcf9zL3Rvda9233gfeU96b3t/fI99f35Pfw9/v4A/gJ+A74EPgP+A34CfgC9/r38Pfl99j3y/e89673n/eR94P3dvdr92H3WfdT90/3TvdP91P3Wvdi9273e/eL9533sPfF99v38vgJ+CD4N/hO+GT4efiO+KH4svjD+NL43/jr+Pb5APkI+Q/5Fvkc+SH5Jvkq+S/5M/k3+Tv5P/lD+Ub5SvlN+VD5UvlU+VT5VPlU+VL5T/lL+Ub5QPk5+TH5KPkf+Rb5DfkD+Pv48/js+Ob44vjf+N/44Pjk+Or48/j++Qz5HPku+UL5Wflw+Yr5pPm/+dv59/oT+i/6Svpk+n36lfqr+r/60vrj+vL6//sL+xX7Hfsk+yr7L/sy+zX7N/s5+zv7Pfs++0D7Q/tF+0j7S/tP+1T7Wfte+2P7aPtu+3T7eft/+4T7ifuN+5H7lPuX+5n7mvub+5z7m/ub+5r7mPuW+5T7kvuQ+477jPuJ+4j7hvuE+4P7gvuB+4D7gPt/+3/7fvt++337fPt7+3r7ePt2+3P7cftu+2r7Zvti+177WvtV+1H7TftJ+0X7Qvs/+w77C/sI+wb7BPsD+wP7A/sE+wb7CPsL+w77EvsW+xv7H/sk+yn7Lvsz+zj7PftC+0b7S/tP+1P7V/tb+2D7ZPto+237cvt3+3z7gvuI+4/7lvud+6X7rPu0+7z7xPvL+9P72fvg++b76/vv+/P79fv3+/j7+Pv2+/T78vvu++r75vvh+9z72PvU+9D7zfvL+8r7y/vN+9D71fvc++X78Pv8/Ar8G/wt/ED8Vfxs/IT8nfy3/NH87P0I/ST9QP1c/Xf9kv2t/cf94P34/hD+Jv48/lD+ZP53/oj+mf6p/rj+xv7T/t/+6/72/wD/Cf8S/xn/If8o/y3/M/83/zz/P/9C/0T/Rv9H/0f/R/9G/0X/Q/9B/z7/O/83/zP/L/8q/yX/H/8Z/xP/Df8G/v/++P7w/uj+4P7Y/s/+xv69/rT+qv6g/pb+jP6C/nj+bf5j/ln+T/5F/jv+Mv4p/iD+GP4R/gr+BP3//fr99v3z/fH98P3v/e/97/3x/fL99f34/fv9/v4C/gb+Cv4O/hL+Fv4a/h7+Iv4m/ir+Lv4y/jb+O/4//kP+SP5N/lL+V/5d/mP+af5v/nb+fP6D/or+kP6X/p3+o/6p/q7+sv62/rn+vP6+/r/+v/6//r7+vP66/rj+tf6y/rD+rf6q/qj+pv6l/qT+pP6l/qb+qf6s/rD+tf67/sH+yP7P/tj+4P7o/vH++f8B/wn/Ef8X/x7/I/8o/yv/Lv8w/zH/Mf8w/y3/Kv8m/yH/G/8U/w3/BP77/vL+6P7d/tL+xv66/q7+of6V/oj+e/5t/mD+U/5G/jn+LP4f/hL+Bv36/e794/3X/c39wv24/a79pf2b/ZL9iv2B/Xj9cP1n/V79Vf1M/UP9Of0v/ST9Gv0O/QL89vzq/N38z/zB/LP8pfyW/Ij8efxq/Fv8Tfw+/DD8IfwT/AX7+Pvr+9370PvE+7f7qvud+5H7hPt3+2r7XPtP+0H7Mvsj+xP7A/rz+uL60Pq++qz6mfqG+nL6XvpK+jb6IfoN+fj55PnP+bv5p/mU+YD5bfla+Uf5Nfkj+RH4//ju+N34zPi7+Kv4mviK+Hr4avha+Er4Ovgq+Bv4C/f89+z33ffO97/3sPeh95L3hPd192f3WPdK9zz3Lfcf9xD3Afbz9uP21PbF9rX2pfaV9oT2c/Zi9lD2PvYs9hr2B/X09eH1zvW79aj1lPWB9W31WvVH9TP1IPUN9Pr05/TU9MH0rvSc9Ir0d/Rl9FP0QfQv9B30DPP78+rz2fPJ87nzqfOZ84rze/Ns813zT/NB8zPzJPMW8wjy+fLr8tvyzPK88qvymvKJ8nfyZPJQ8jzyKPIT8f7x6fHU8b/xqvGV8YHxbvFb8UrxOfEq8RzxEPEF8Pvw8/Ds8Obw4vDf8N3w2/Db8Nrw2/Db8Nvw3PDb8Nrw2fDX8NTw0PDL8MXwvvC28K3wo/CZ8I7wgvB28GvwX/BT8EfwPPAy8CjwH/AX8BDwCvAG8ALv/+/+7/3v/u//8ALwBfAJ8A3wEvAX8BzwIvAn8CzwMfA28DvwP/BC8EXwSPBK8EvwTPBN8E3wTfBM8EvwS/BK8EnwSfBJ8ErwTPBO8FHwVvBb8GLwavBz8H7wivCY8Kfwt/DI8Nvw7vEC8RbxKvE/8VPxZ/F68YzxnfGs8brxxvHQ8djx3vHi8ePx4vHf8drx0/HK8b/xsvGk8ZXxhfF18WTxUvFB8TDxH/EO8P7w7/Dh8NPwxvC68K7wpPCa8JDwh/B+8HXwbPBj8FrwUfBG8DzwMfAl8BjwC+/97+7v3+/O777vre+c74vvee9o71fvRu827ybvF+8I7vvu7u7j7tjuzu7F7r7ut+6x7qvup+6j7p/une6a7pjulu6U7pHuj+6N7ovuiO6F7oLufu567nbucu5t7mjuY+5e7lnuVO5P7kruRe5A7jzuOO407jDuLO4p7iXuIu4f7hzuGu4X7hTuEe4O7gzuCe4F7gLt/+377fjt9O3x7e3t6u3m7ePt4O3d7drt2O3X7dXt1O3T7dPt1O3U7dXt1+3Y7drt3O3e7eHt4+3l7ejt6u3r7e3t7u3v7fDt8e3x7fHt8e3w7e/t7+3u7e3t7O3r7ert6e3p7ejt6O3o7ejt6e3p7ert6+3r7ezt7e3u7e/t8O3x7fHt8u3y7fPt8+3z7fPt9O307fXt9u337fjt+u397gDuBO4I7g3uE+4a7iLuKu4z7jzuRu5R7lzuZ+5z7n7uie6V7p/uqu607r3uxu7O7tXu2+7g7uXu6O7r7u7u7+7x7vHu8u7y7vLu8u7z7vPu9e727vju++7+7wLvBu8L7xHvF+8d7yTvLO8z7zvvQ+9K71LvWe9g72fvbu9z73nvfu+C74bvie+M74/vke+U75Xvl++Z75vvne+f76HvpO+n76rvre+x77Xvuu++78PvyO/O79Pv2O/e7+Pv6O/t7/Lv9+/78ADwBPAI8AzwEPAU8BjwHPAg8CXwKvAv8DTwOvBB8EjwUPBY8GHwa/B18H/wivCW8KLwrvC68Mfw0/Dg8Ozw+PEE8RDxG/Em8TDxOvFE8U3xVvFf8WfxcPF48YDxiPGR8ZnxovGs8bbxwfHM8djx5fHy8gDyD/Ie8i7yP/JQ8mLydPKH8pnyrPK/8tLy5fL48wvzHfMv80HzU/Nk83XzhvOW86bztvPG89Xz5PPy9AD0DvQb9Cj0NfRA9Ez0V/Rh9Gr0cvR69IH0h/SM9JD0k/SU9JX0lvSV9JP0kfSO9Iv0h/SC9H70efR19HD0bPRo9GT0YfRf9F30W/Rb9Fv0W/Rc9F70YPRj9Gb0avRu9HL0dvR79ID0hPSJ9I30kfSV9Jr0nfSh9KT0qPSr9K30sPSy9LT0tfS39Lj0uPS49Lj0uPS29LX0s/Sx9K70q/So9KT0oPSc9Jf0k/SP9Iv0h/SE9IH0f/R99Hz0fPR99ID0g/SH9Iz0kvSY9KD0qPSx9Lv0xPTO9Nj04vTs9PX0/fUF9Qz1EvUX9Rz1H/Uh9SP1JPUk9SP1IvUg9R/1HfUb9Rr1GfUZ9Rn1GvUd9SD1JPUp9TD1N/VA9Un1U/Ve9Wr1dvWC9Y71mvWm9bL1vfXH9dH12vXh9ej17vXy9fX1+PX59fn1+PX39fT18fXu9ev15/Xk9eD13fXb9dn12PXX9dj12fXc9eD15PXr9fL1+vYE9g/2GvYn9jT2Q/ZS9mL2cvaD9pT2pva49sr22/bt9v/3Efci9zP3RPdV92X3dPeD95L3oPet97n3xffQ99v35Pft9/T3+/gA+AX4CfgM+A34DvgN+Av4CfgG+AH3/Pf39/D36vfj99z31ffP98j3w/e997n3tve097P3s/e197j3vPfC98n30ffb9+b38vf++Az4Gvgo+Df4RfhU+GL4cPh++Iv4l/ij+K74ufjC+Mv41Pjb+OL46fjw+Pb4/PkB+Qf5DfkS+Rj5Hvkj+Sn5L/k0+Tn5PvlC+UX5SPlK+Uv5TPlL+Un5RvlC+T35N/kw+Sj5IPkX+Q75Bfj8+PT47Pjl+N/42vjX+Nb41vjY+Nz44vjq+PT5APkO+R35LvlA+VP5Z/l8+ZH5pvm7+dD55Pn4+gv6Hfot+jz6S/pX+mP6bfp2+n76hfqL+pD6lfqZ+p36ofqk+qj6rfqx+rb6vPrC+sn60PrY+uD66fry+vv7BPsN+xb7H/sn+y/7N/s9+0P7SftN+1D7U/tV+1b7VvtW+1X7VPtS+1D7TvtM+0n7R/tF+0P7QvtA+0D7P/s/+z/7P/tA+0H7QftC+0P7RPtF+0X7RftF+0T7QvtB+z77PPs4+zX7Mfst+yj7JPsf+xv7FvsS+tz62PrU+tH6zvrM+sv6yvrK+sv6zfrP+tL61frZ+t364vrn+uz68vr3+v37A/sI+w77E/sZ+x77I/sp+y77M/s4+z77Q/tJ+077VPta+2D7Z/tt+3T7evuB+4f7jfuU+5n7n/uk+6j7rPuv+7H7s/u0+7T7s/ux+6/7rPup+6X7ofuc+5j7k/uP+4z7ifuH+4b7hvuI+4v7j/uV+537pvux+777zfvd++/8A/wY/C78Rfxe/Hf8kfyr/Mb84fz7/Rb9MP1K/WT9ff2U/az9wv3X/ez9//4R/iL+M/5C/lD+Xv5q/nb+gf6L/pT+nf6l/qz+s/65/r7+xP7I/sz+0P7T/tb+2P7a/tv+3P7c/tz+3P7b/tr+2P7W/tP+z/7M/sf+w/69/rj+sf6r/qT+nP6U/ov+gv55/m/+Zf5a/lD+Rf46/i7+I/4Y/g3+Af32/ez94f3Y/c79xf29/bX9rv2o/aP9nv2a/Zf9lP2T/ZL9kv2S/ZP9lf2X/Zr9nf2g/aT9qP2s/bD9tP24/bz9wP3E/cj9zP3Q/dT92P3c/eD95f3p/e398f32/fr9//4E/gn+Dv4T/hf+HP4h/iX+Kf4t/jD+M/41/jf+OP44/jj+N/42/jT+Mf4u/iv+KP4k/iD+Hf4a/hf+FP4S/hH+EP4R/hL+Ff4Y/h3+I/4q/jH+Ov5E/k7+Wf5k/nD+fP6H/pP+nv6p/rP+vP7E/sv+0P7V/tj+2f7Z/tf+1P7P/sn+wv65/q/+o/6X/or+e/5s/l3+Tf49/iz+G/4K/fr96f3Z/cj9uf2p/Zr9jP19/XD9Y/1W/Un9Pv0y/Sf9HP0S/Qj8/vz0/Ov84vzZ/M/8xvy9/LT8q/yi/Jj8j/yF/Hz8cvxo/F38U/xJ/D78M/wo/B78E/wI+/378vvn+9z70fvG+7v7sPul+5r7kPuF+3r7b/tk+1r7TvtD+zj7LPsh+xX7CPr8+u/64vrU+sf6uPqq+pv6jfp9+m76XvpP+j/6L/of+g75/vnu+d75zvm++a75nvmO+X/5b/lg+VD5Qfkx+SL5EvkD+PP45PjU+MX4tfil+JX4hfh2+Gb4VvhG+Df4J/gY+Aj3+ffq99z3zfe+97D3oveV94f3evds91/3UvdE9zf3Kvcc9w73APby9uP21PbE9rT2pPaT9oL2cPZe9kz2OfYm9hL1//Xr9df1w/Wu9Zr1hvVy9V71SvU29SL1D/T89On01vTD9LD0nvSL9Hn0Z/RV9EP0MvQg9A/z/fPs89vzyvO586nzmPOI83jzaPNZ80nzOvMs8x3zD/MB8vPy5fLX8snyu/Kt8p/ykfKD8nTyZfJX8kfyOPIp8hnyCfH68erx2vHL8bzxrfGf8ZHxhPF38WzxYfFX8U7xRvE+8TjxM/Eu8SrxJ/Ek8SLxIPEe8RzxG/EZ8RfxFfES8Q7xCvEF8QDw+fDz8Ovw4vDZ8NDwxvC78LHwpvCc8JHwh/B98HTwbPBk8F7wWPBT8FDwTfBM8EzwTfBP8FHwVfBa8F/wZPBq8HDwdvB88IHwhvCL8I/wkvCV8Jbwl/CX8JbwlPCR8I7wifCF8IDwe/B38HLwbvBr8GnwaPBo8GrwbvBz8HrwhPCQ8J3wrfC/8NPw6fEA8RnxNPFP8Wvxh/Gk8cDx3PH28hDyKPI/8lTyZvJ28oPyjvKX8pzyn/Kf8p3ymPKR8ojyffJx8mPyVPJF8jXyJPIU8gTx9PHk8dbxyPG68a7xovGY8Y3xhPF78XLxavFi8VnxUPFH8T3xMvEn8RrxDPD+8O3w3PDK8LbwofCM8HXwXvBG8C/wF+//7+fv0O+576Pvju9672jvV+9H7zjvK+8f7xTvC+8D7v3u9+7y7u7u6+7o7uXu4+7h7t/u3O7a7tfu1O7R7s3uyu7F7sHuvO637rHurO6m7qHunO6W7pLuje6I7oTuge597nrud+507nLub+5t7mvuae5m7mTuYe5e7lvuV+5U7k/uS+5G7kDuO+417i/uKe4j7h3uGO4S7g3uCe4F7gLt/+397fvt++377fvt/O3+7gHuBO4H7gvuD+4T7hfuG+4f7iPuJ+4q7i3uL+4y7jPuNO417jbuNu427jbuNe417jTuM+4z7jLuMu4x7jHuMe4x7jLuMu4z7jTuNe427jfuOe467jvuPO497j7uPu4/7j/uQO5A7kHuQe5C7kPuRO5F7kfuSe5M7k/uU+5Y7l3uYu5p7nDueO6A7ojuke6b7qTuru647sLuy+7U7t3u5u7u7vXu/O8C7wfvDO8Q7xPvFu8Y7xrvHO8d7x7vHu8f7yDvIe8i7yPvJe8n7ynvLO8w7zPvN+8870DvRe9L71DvVe9b72DvZu9r73Dvde95737vgu+F74nvjO+P75Lvle+Y75vvnu+h76Tvp++r76/vtO+5777vxO/K79Dv1+/e7+Xv7e/07/zwBPAL8BLwGvAh8CjwLvA08DrwQPBF8ErwT/BT8FjwXPBh8GXwavBu8HPwefB/8IXwjPCT8Jvwo/Cs8LbwwPDK8NXw4PDr8PfxAvEO8RrxJfEw8TvxRvFQ8VnxY/Fr8XPxe/GC8Ynxj/GV8ZvxoPGm8avxsfG38b3xxPHL8dPx2/Hk8e7x+fIF8hHyHvIt8jzyTPJd8m7ygfKU8qfyu/LQ8uXy+vMP8yXzOvNQ82XzevOP86Pzt/PK893z7/QA9BH0IPQv9D30SvRV9GD0afRx9Hj0fvSD9If0ifSL9Iv0i/SK9If0hfSB9H30efR19HD0a/Rn9GL0XvRa9Ff0VfRT9FH0UPRQ9FH0U/RV9Ff0W/Rf9GP0aPRt9HP0ePR+9IT0ivSP9JX0mvSf9KT0qPSs9LD0s/S29Lj0uvS89L30vvS/9MD0wPTA9L/0v/S+9L30vPS69Lj0t/S19LP0sfSv9K30q/Sp9Kf0pvSl9KT0o/Sj9KT0pfSn9Kr0rfSx9Lb0vPTD9Mr00vTb9OX07/T59QT1D/Ua9SX1MPU79UX1T/VY9WH1afVw9Xb1fPWA9YT1h/WK9Yv1jfWO9Y71j/WP9ZD1kfWS9ZT1lvWZ9Z31ovWo9a71tfW99cb1z/XY9eL17fX39gH2C/YV9h72JvYt9jT2OfY99j/2QfZB9j/2PPY49jP2LPYl9h32FPYL9gH1+PXv9eb13vXX9dL1zfXK9cn1yfXM9dD11/Xg9er19/YG9hf2KvY+9lT2bPaE9p72uPbT9u73Cfck9z/3Wfdy94v3ove498334Pfy+AL4EPgc+Cf4MPg3+D34QfhD+ET4RPhC+ED4PPg4+DP4Lvgo+CL4HPgW+BD4CvgF+AD3+/f39/T38vfw9+/37/fw9/L39ff49/34AvgI+A74Ffgd+CX4Lvg3+ED4SfhS+Fv4ZPht+Hb4fviG+I74lfib+KL4p/it+LL4tvi7+L/4w/jH+Mv4z/jT+Nf43Pjh+Ob47Pjx+Pj4/vkF+Qz5E/kb+SL5Kfkv+TX5O/lA+UT5SPlK+Uz5TPlL+Ur5R/lD+T75OPkx+Sr5Ivka+RH5CfkB+Pn48fjr+OX44Pjd+Nv42vjb+N344fjm+O349Pj++Qj5E/kg+S35OvlI+Vb5ZPly+X/5jPmZ+aX5sPm6+cT5zfnV+dz54/np+e758/n4+f36AvoH+gz6EfoX+h76Jfot+jX6PvpI+lL6Xfpp+nT6gfqN+pn6pvqy+r76yfrU+t766Prw+vj6//sF+wr7DvsR+xP7FPsV+xT7FPsT+xL7EPsO+w37C/sK+wj7CPsH+wf7B/sH+wj7CfsL+wz7DvsP+xH7EvsT+xT7FPsU+xT7E/sR+w/7DfsK+wb7Avr++vn69Prv+ur65frg+qv6p/qj+qD6nvqc+pv6mvqb+pz6nfqg+qP6p/qr+q/6tPq6+sD6xfrL+tH61/rd+uP66frv+vT6+vr/+wT7CfsO+xP7GPsd+yH7J/ss+zH7Nvs7+0H7RvtM+1H7V/tc+2H7Zvtr+2/7c/t2+3n7e/t8+337fvt++337fPt6+3j7dfty+2/7bPtq+2f7Zftk+2P7Y/tk+2f7avtv+3X7fPuG+5D7nfuq+7r7y/vd+/D8Bfwa/DH8SPxg/Hn8kvyr/MT83fz2/Q79Jv09/VT9av1//ZP9pv24/cn92f3o/fb+A/4P/hr+JP4u/jf+P/5G/k3+U/5Z/l7+Y/5n/mv+b/5y/nX+eP56/nz+fv5//oD+gf6B/oH+gP5//n3+e/54/nT+cP5r/mb+YP5Z/lL+Sv5B/jj+Lv4k/hn+Dv4D/ff96/3g/dT9yP28/bH9pf2b/ZD9hv19/XX9bf1l/V/9Wf1U/VD9Tf1K/Un9R/1H/Uf9SP1J/Uv9Tf1P/VL9Vf1Y/Vz9X/1j/Wb9av1t/XH9dP13/Xv9fv2C/Yb9if2N/ZH9lf2Z/Z39of2m/ar9r/2z/bj9vf3B/cX9yf3N/dD90/3W/dj92f3Z/dn92f3X/dX90v3P/cv9x/3C/b79uf20/a/9qv2m/aL9n/2d/Zv9m/2c/Z79of2l/av9sf26/cL9zf3Y/eP98P39/gr+F/4k/jH+Pv5J/lT+Xv5n/m/+df55/nz+ff58/nn+df5v/mf+Xv5T/kf+Of4q/hr+Cf33/eX90v3A/az9mf2G/XP9Yf1P/T39Lf0c/Q38/vzv/OH81PzI/Lz8sfym/Jz8kvyI/H78dfxs/GP8WvxR/Ej8P/w2/C38I/wa/BD8Bvv9+/P76fvf+9X7y/vA+7b7rfuj+5n7j/uF+3z7c/tp+2D7V/tO+0X7PPsz+yr7IPsX+w77BPr6+vD65vrb+tD6xfq5+q36ofqU+oj6e/pt+mD6U/pF+jf6Kfob+g36APny+eT51/nJ+bz5r/mh+ZX5iPl7+W75YflV+Uj5O/ku+SH5FPkH+Pn46/je+M/4wfiy+KT4lPiF+Hb4Z/hX+Ej4OPgp+Bn4Cvf89+333vfQ98L3tfeo95v3jveB93X3afdd91H3Rfc59y33IfcV9wj2+vbt9t/20PbB9rH2ofaQ9n/2bfZa9kf2NPYg9gz1+PXk9c/1uvWm9ZH1ffVp9VT1QPUt9Rn1BvTz9OD0zvS89Kr0mPSH9HX0ZPRT9EH0MPQf9A7z/fPr89rzyfO486bzlfOE83PzYvNR80HzMPMg8xDzAfLx8uLy1PLF8rfyqfKc8o/ygvJ18mnyXfJR8kXyOfIu8iPyGPIN8gLx9/Ht8ePx2fHP8cbxvfG08azxpPGd8Zbxj/GJ8YTxfvF58XXxcfFt8WnxZfFi8V7xW/FX8VPxT/FL8UbxQfE78TXxL/Eo8SHxGvES8QrxAvD58PHw6fDh8Nnw0fDK8MTwvvC48LTwsPCu8Kzwq/Cr8KvwrfCv8LLwtvC68L7ww/DH8Mzw0PDV8Njw3PDe8ODw4fDi8OHw4PDe8Nvw1/DT8M7wyfDE8L/wuvC18LHwrvCs8Kvwq/Ct8LHwt/C/8Mnw1fDj8PPxBvEa8THxSfFi8X3xmfG28dPx8PIN8iryRvJh8nrykvKp8r3yz/Le8uvy9vL+8wPzBvMH8wXzAfL78vPy6vLg8tTyx/K68q3yn/KR8oPydvJp8l3yUfJG8jzyMvIo8h/yFvIO8gXx/PHz8enx3/HU8cjxu/Gs8Z3xjPF68WbxUvE88SXxDfD08NvwwfCn8IzwcvBY8D/wJvAO7/fv4u/N77vvqe+Z74vvfu9y72jvX+9X71DvSu9F70HvPe857zbvMu8v7yvvJ+8j7x7vGe8U7w7vCO8B7vru8+7s7uXu3e7W7tDuye7D7r7uue617rHuru6r7qnuqO6n7qbupu6m7qbupe6l7qXupO6j7qLuoO6d7prulu6S7o3uh+6B7nvudO5t7mbuXu5X7lDuSe5D7j3uOO407jDuLe4q7inuKO4p7iruK+4u7jHuNO447j3uQe5G7kvuT+5U7ljuXO5g7mPuZu5o7mrua+5t7m3ube5t7m3ubO5r7mvuae5p7mfuZu5l7mXuZO5j7mPuY+5j7mPuY+5k7mTuZe5m7mbuZ+5p7mrua+5s7m3ub+5x7nPude537nrufe6A7oTuiO6M7pHulu6c7qLuqe6v7rbuvu7G7s3u1e7d7uXu7e707vzvA+8K7xDvFu8c7yHvJu8q7y7vMu817zjvO+8+70DvQu9F70fvSe9M707vUe9V71jvXO9f72PvaO9s73Hvdu9673/vhO+J747vku+X75vvn++j76bvqu+t77Dvs++177jvu++978Dvw+/G78rvze/R79bv2+/g7+bv7O/y7/nwAPAI8A/wF/Af8CjwMPA48EDwSPBP8FfwXvBk8GvwcfB28HzwgfCF8IrwjvCT8Jfwm/Cg8KTwqfCv8LTwuvDB8Mjw0PDY8OHw6vD08P7xCfEU8SDxK/E38ULxTvFZ8WTxb/F58YPxjPGV8Z3xpPGr8bHxtvG78b/xw/HG8crxzPHP8dLx1fHY8dvx3/Hk8enx7/H28f7yB/IR8hzyKPI28kXyVfJm8njyi/Kg8rXyyvLh8vjzD/Mn8z/zV/Nv84bznfO088rz3/Pz9Ab0GPQp9Dn0R/RU9F/0afRy9Hn0f/SD9Ib0iPSI9Ij0h/SE9IL0fvR69Hb0cfRt9Gj0ZPRg9Fz0WfRW9FT0UvRS9FL0UvRU9Fb0WPRc9F/0ZPRp9G30c/R49H70hPSJ9I/0lPSZ9J70o/Sn9Kv0rvSx9LT0tvS49Ln0u/S89Lz0vfS99L30vfS99L30vPS89Lv0uvS69Ln0uPS49Lf0tvS29LX0tfS09LT0tPS09LX0tvS39Ln0u/S99MD0xPTJ9M701PTa9OH06fTx9Pv1BPUP9Rn1JPUw9Tv1R/VT9V/1avV29YH1jPWW9Z/1qfWx9bn1wfXI9c711PXZ9d714/Xn9ev17/Xz9ff1+/YA9gX2CvYP9hT2GvYg9if2LfY09jv2QvZI9k/2VfZa9l/2Y/Zm9mj2afZp9mj2ZvZj9l72WPZR9kn2P/Y29iv2IPYV9gr1/vXz9en14PXY9dH1y/XH9cb1xvXI9c311PXd9en19/YI9hv2MPZH9l/2evaW9rP20fbv9w73LfdM92r3iPek97/32ffx+Af4G/gt+D34S/hW+F/4Zfhq+Gz4bPhq+Gf4Yvhc+FX4TPhD+Dr4MPgn+B34FPgL+AP3/Pf29/H37ffq9+n36ffq9+338ff29/z4A/gL+BT4Hfgn+DL4PfhH+FL4Xfho+HL4e/iF+I34lfid+KP4qfiv+LT4uPi7+L74wfjE+Mb4yPjK+Mz4z/jR+NT41/jb+N/45Pjp+O/49fj7+QL5CfkR+Rj5IPkn+S75Nfk8+UH5RvlL+U75UflT+VP5U/lS+U/5TPlI+UL5Pfk2+TD5KPkh+Rr5EvkL+QX4//j6+PX48vjv+O747vju+PD48/j4+P35A/kK+RH5Gvkj+Sz5Nvk/+Un5U/lc+WX5bvl2+X75hvmN+ZP5mfmf+aT5qfmt+bL5t/m7+cD5xfnK+dD51/ne+eX57fn2+f/6CfoU+h/6Kvo2+kL6Tvpa+mb6cfp9+oj6k/qc+qb6rvq2+r36w/rI+s360PrT+tX61/rY+tj62PrY+tj62PrX+tf61/rX+tf61/rY+tn62vrc+t363/rh+uP65frn+uj66vrr+uv66/rr+ur66Prm+uT64frd+tn61PrP+sr6xfq/+rr6tfqw+nv6d/pz+nD6bfpr+mr6avpq+mr6bPpu+nH6dPp4+nz6gPqF+or6j/qV+pr6n/ql+qr6r/q0+rn6vvrD+sj6zPrR+tX62vrf+uT66fru+vP6+Pr++wT7CvsQ+xb7HPsj+yn7MPs2+zz7QftH+0z7UPtU+1j7W/td+1/7YPth+2H7Yftg+1/7Xvtd+1v7WvtZ+1n7WPtZ+1r7XPtf+2P7aPtu+3b7f/uJ+5T7ofuv+7/70Pvh+/T8CPwd/DL8SPxe/HX8i/yi/Lj8z/zl/Pr9D/0j/Tb9Sf1a/Wv9e/2J/Zf9pP2v/br9xP3N/db93f3k/ev98P32/fr9//4D/gf+Cv4N/hD+E/4V/hj+Gv4c/h3+Hv4f/iD+IP4g/h/+Hv4c/hn+Fv4S/g7+Cf4D/f399v3u/eb93v3U/cv9wf23/az9ov2X/Yz9gv14/W79ZP1b/VL9Sv1D/Tz9Nv0x/Sz9KP0l/SL9IP0f/R/9H/0f/SD9Iv0k/Sb9KP0r/S79MP0z/Tb9Of08/T/9Qf1E/Uf9Sv1M/U/9Uv1V/Vj9W/1e/WL9Zv1p/W39cf12/Xr9f/2D/Yj9jf2R/ZX9mf2d/aH9o/2m/aj9qf2q/ar9qf2o/ab9o/2g/Zz9mP2T/Y/9iv2E/X/9e/12/XL9b/1s/Wr9af1o/Wn9a/1u/XL9d/19/YX9jf2W/Z/9qv20/b/9yv3W/eH96/31/f7+B/4O/hT+Gf4d/h/+IP4f/hz+GP4S/gv+Av34/e394P3S/cT9tP2k/ZP9gv1x/V/9Tv08/Sv9Gv0K/Pr86/zc/M38wPyz/Kb8mvyP/IT8efxv/GX8XPxT/Er8Qfw4/C/8Jvwd/BP8CvwB+/f77vvk+9r70PvF+7v7sfum+5z7kvuH+337c/tp+1/7VftL+0L7OPsv+yX7HPsT+wn7APr2+u364/rZ+s/6xfq6+rD6pPqZ+o36gfp1+mn6XPpP+kL6Nfon+hr6Dfn/+fL55PnX+cr5vfmx+aT5mPmM+YD5dPlo+V35UflG+Tr5L/kj+Rj5DPkA+PT46Pjb+M74wfiz+KX4l/iJ+Hv4bPhd+E74P/gw+CH4EvgD9/T35vfY98r3vPev96P3lveK93/3c/do9133UvdI9z33M/co9x33EvcG9vv27vbi9tT2xva49qn2mfaJ9nj2ZvZU9kL2L/Yc9gj19PXg9cz1uPWj9Y/1e/Vo9VT1QfUu9Rv1CfT39OX01PTD9LL0ofSR9ID0cPRg9FD0P/Qv9B70DvP98+zz2/PK87nzp/OV84PzcvNg807zPfMr8xrzCPL48ufy1/LH8rjyqfKb8o3yf/Jz8mbyW/JQ8kXyO/Ix8ijyH/IW8g7yB/H/8fjx8vHr8eXx3/Ha8dTxz/HK8cTxwPG78bbxsvGt8anxpfGg8ZzxmPGT8Y/xivGG8YHxfPF38XLxbfFn8WLxXPFW8VDxSvFE8T7xN/Ey8SzxJvEg8RvxFvES8Q3xCvEH8QTxAvEA8P/w/vD+8P7w//EA8QLxA/EF8QfxCfEL8Q3xD/EQ8RLxEvET8RPxEvER8RDxDvEM8QnxBvED8QDw/fD68Pjw9vD08PTw9PD18Pfw+/EA8QbxDvEX8SLxL/E98UzxXfFv8YLxlvGs8cHx2PHv8gXyHPIy8kjyXfJx8oTylfKm8rXywvLN8tfy4PLm8uvy7vLw8vHy8PLu8uvy5/Lj8t7y2PLS8svyxfK+8rjysfKr8qTynfKX8pDyiPKB8nnycPJn8l3yUvJF8jjyKvIa8gnx9vHi8c3xt/Gf8YbxbfFS8TfxG/EA8OTwyPCs8JLwePBf8EfwMPAb8Afv9e/l79bvye++77Tvq++k757vme+V75Lvj++M74nvh++E74Dvfe9473Pvbe9m717vVe9M70LvN+8r7x/vE+8H7vru7u7i7tbuy+7B7rjur+6o7qHunO6Y7pXuk+6S7pLuk+6V7pfumu6d7qDuo+6m7qnurO6u7rDuse6x7rHusO6u7qzuqe6l7qHunO6X7pLujO6H7oHufO537nLubu5q7mfuZO5i7mHuYe5h7mLuY+5l7mjua+5u7nHude557n3uge6E7ojui+6O7pHuk+6V7pbul+6Y7pjumO6Y7pfulu6V7pPuku6Q7o7ujO6L7onuh+6G7oXug+6C7oLuge6B7oHuge6B7oLug+6E7obuh+6J7ovuju6R7pTumO6b7p/upO6o7q3us+647r7uxO7K7tDu1u7d7uPu6u7x7vfu/u8E7wrvEe8X7xzvIu8o7y3vMu837zzvQe9G70vvUO9U71nvXu9j72fvbe9y73fvfe+C74jvju+U75rvoO+m76zvsu+3773vwu/H78zv0e/W79nv3e/h7+Tv5+/p7+zv7u/w7/Lv9O/27/nv++/98ADwA/AH8ArwD/AT8BjwHvAk8CrwMPA38D/wRvBN8FXwXfBk8Gzwc/B68IHwiPCO8JTwmvCf8KTwqfCt8LHwtfC48Lzwv/DC8MbwyvDO8NLw1/Dc8OLw6PDv8Pbw/vEH8RDxGfEj8S7xOfFE8U/xWvFm8XHxfPGH8ZLxnPGl8a7xt/G/8cbxzPHS8dfx3PHf8ePx5vHo8evx7fHv8fHx9PH28frx/fIC8gfyDfIU8hzyJfIw8jvySPJW8mXydfKG8pnyrPLA8tXy6vMA8xbzLPND81nzb/OF85rzr/PC89Xz5/P49Aj0FvQj9C/0OvRD9Ev0UvRY9Fz0YPRi9GT0ZfRl9GX0ZPRj9GL0YfRg9F/0X/Re9F70X/Rg9GH0Y/Rl9Gj0a/Rv9HP0ePR99IL0h/SN9JL0mPSd9KL0p/Ss9LH0tfS49Lz0v/TC9MT0xvTI9Mn0yvTL9Mz0zPTN9M30zfTN9M30zfTO9M70zvTO9M70z/TP9M/0z/TP9ND00PTP9M/0z/TO9M70zfTN9Mz0zPTL9Mv0yvTK9Mr0y/TM9M30z/TR9NT01/Tc9OD05vTs9PP0+/UD9Qz1FfUf9Sn1M/U+9Un1VPVg9Wv1dvWB9Yz1l/Wi9az1tvXA9cn10vXb9eT17PX09fz2BPYM9hT2G/Yj9iv2MvY69kH2SPZQ9lf2XvZk9mv2cPZ29nr2fvaC9oT2hvaG9ob2hPaC9n72efZz9m32ZfZc9lP2SfY/9jT2KfYf9hT2CvYB9fj18fXr9eb14/Xh9eH14/Xo9e719/YB9g72HPYt9j/2U/Zp9oD2mPax9sr25Pb+9xj3MfdK92P3eveQ96T3tvfH99f35Pfv9/j3//gE+Af4CPgH+AX4Aff89/b37vfm99731ffM98P3u/ez96v3pfef95r3l/eV95T3lPeW95n3nfej96r3sve798T3z/fa9+b38vf++Av4F/gj+DD4PPhH+FL4Xfhn+HH4eviD+Iv4k/ia+KH4p/it+LP4ufi/+MT4yvjQ+Nb43Pjh+Oj47vj1+Pv5AvkI+Q/5Fvkc+SL5KPkt+TL5Nvk6+T35P/lB+UH5QflA+T75PPk5+TX5MPkr+SX5IPkZ+RP5DfkH+QH4+/j2+PH47fjq+Oj45vjl+Ob45/jp+Oz48Pj0+Pr5APkG+Q75Ffkd+SX5Lvk2+T75R/lP+Vf5X/lm+W35dPl7+YH5h/mN+ZP5mfmf+aT5qvmw+bb5vPnD+cr50fnZ+eH56fnx+fr6BPoN+hb6IPoq+jP6PfpG+k/6WPpg+mj6b/p2+nz6gfqG+or6jvqR+pT6lvqX+pn6mvqa+pv6m/qc+pz6nfqe+p/6oPqh+qP6pfqn+qn6rPqu+rH6tPq2+rn6u/q9+r/6wPrB+sH6wfrA+r76vPq6+rf6s/qv+qr6pfqg+pv6lfqP+or6hfqA+kj6RPpB+j36Ovo4+jb6Nfo0+jP6M/o0+jT6Nvo3+jn6PPo++kH6RPpH+kr6TfpR+lT6WPpc+l/6Y/pn+mv6b/p0+nn6fvqD+on6j/qV+pz6o/qr+rP6u/rE+s361vrf+uj68fr7+wT7DfsV+x37Jfss+zP7Ofs++0L7RvtJ+0v7TftO+077TvtN+0z7S/tJ+0j7RvtF+0X7RPtE+0X7R/tK+077UvtZ+2D7aPty+337ifuW+6T7tPvE+9X75/v6/A38Ifw1/En8Xfxx/IX8mPyr/L38z/zg/PD9AP0O/Rz9KP00/T/9Sf1T/Vv9Y/1q/XD9dv17/YD9hP2I/Yz9j/2S/ZX9mP2b/Z39n/2h/aP9pf2n/aj9qf2p/ar9qv2p/aj9p/2l/aP9n/2c/Zj9k/2O/Yj9gv18/XX9bv1m/V/9V/1P/Uf9P/04/TD9Kf0j/Rz9F/0R/Q39CP0F/QL9APz+/P38/Pz8/Pz8/fz//QD9Av0F/Qf9Cv0N/RD9E/0W/Rn9HP0e/SH9JP0n/Sr9LP0v/TL9Nf03/Tr9Pf1A/UT9R/1K/U79Uv1W/Vr9Xv1i/Wb9av1u/XL9dv15/Xz9f/2C/YT9hv2H/Yf9h/2H/Yb9hP2C/YD9ff16/Xf9c/1v/Wz9aP1k/WH9Xv1c/Vr9WP1X/Vf9WP1Z/Vv9Xv1i/Wb9a/1x/Xf9ff2E/Yv9kv2Z/aD9p/2u/bT9uf2+/cH9xP3G/cf9x/3G/cP9wP27/bX9r/2n/Z79lP2J/X79cv1m/Vj9S/0+/TD9Iv0V/Qf8+fzs/N/80vzG/Lr8rvyi/Jf8jPyC/Hj8bvxk/Fr8UfxI/D78Nfwr/CL8GPwO/AX7+/vx++f73PvS+8f7vfuy+6f7nPuR+4f7fPtx+2b7XPtR+0f7PPsy+yj7HfsT+wj6/vr0+un63/rU+sn6vvqz+qf6m/qP+oP6dvpq+l36UPpC+jX6J/oZ+gv5/fnv+eL51PnG+bn5q/me+ZH5hPl4+Wz5X/lU+Uj5PPkx+Sb5G/kQ+QX4+fju+OP41/jM+MD4tPin+Jv4jviB+HT4ZvhY+Er4PPgu+CD4EvgE9/X35/fa98z3v/ey96X3mfeN94H3dvdr92H3V/dN90P3Ofcv9yb3HPcT9wn2/vb09un23vbS9sX2ufar9p32jvZ/9m/2X/ZO9jz2K/YY9gb18/Xg9c31ufWm9ZP1gPVt9Vr1SPU19ST1EvUB9PD03/TO9L70rvSe9I70f/Rv9F/0UPRA9DD0IPQP8//z7vPd88vzuvOo85bzhPNy81/zTfM78ynzF/MF8vPy4vLR8sDysPKh8pLyg/J18mjyXPJQ8kTyOfIv8ibyHfIV8g3yBfH/8fjx8vHs8efx4vHd8djx1PHP8cvxx/HD8b/xu/G48bTxsPGs8ajxpPGh8Z3xmfGV8ZHxjfGJ8YXxgfF98XnxdPFw8WzxaPFk8WDxXPFZ8VXxUfFO8UrxR/FE8UHxPvE88TnxN/E18TPxMfEw8S7xLfEs8SvxKvEp8SnxKPEn8SfxJvEl8STxI/Ei8SLxIPEg8R/xHvEd8RzxG/Eb8RvxG/Eb8RzxHvEf8SLxJPEo8SzxMfE28T3xRPFL8VTxXfFm8XDxe/GG8ZLxnvGq8bfxxPHQ8d3x6vH28gLyDvIa8iXyMfI78kbyUPJZ8mPybPJ08nzyhfKM8pTynPKj8qrysfK48r7yxPLK8tDy1fLa8t7y4fLj8uTy5PLj8uDy3PLW8s/yxfK68qzynfKL8nfyYvJK8jHyFvH58dvxu/Gb8XrxWPE38RXw8/DT8LPwlPB28FrwQPAo8BLv/u/s793v0O/F77zvtu+x767vre+s763vr++y77Tvt++577vvvO+877vvue+177Dvqe+g75bviu98723vXe9M7znvJu8T7v/u6+7X7sPuse6f7o7uf+5w7mTuWe5Q7kjuQu4+7jzuPO497j/uQ+5I7k7uVe5c7mTubO517n3uhe6N7pTum+6h7qbuqu6u7rHusu6z7rTus+6y7rHuru6s7qnupu6j7qDune6b7pjulu6U7pPuku6S7pLuku6U7pXul+6Z7pvunu6h7qTup+6q7q7use607rbuue677r3uvu6/7sDuwe7B7sHuwO6/7r7uvO667rjutu607rHur+6s7qnup+6k7qHun+6d7pvume6X7pbulO6U7pPuk+6U7pTule6X7pnum+6e7qHupO6o7qzuse627rvuwe7G7s3u0+7Z7uDu5+7u7vXu/O8E7wvvE+8a7yLvKu8y7znvQe9J71HvWe9i72rvcu9674Lvi++T75vvpO+s77TvvO/E78zv0+/b7+Lv6O/v7/Xv+/AA8AXwCvAO8BLwFfAZ8BvwHvAg8CLwJPAm8CjwKvAs8C7wMPAz8DbwOPA88EDwRPBI8E3wUvBY8F7wZPBq8HHwePB/8IbwjfCU8JrwofCn8K3wsvC38LzwwfDE8Mjwy/DN8NDw0fDT8NXw1vDX8Nnw2vDc8N7w4PDi8OXw6fDt8PLw9/D98QTxDPEU8RzxJfEv8TnxRPFP8VrxZfFw8XvxhvGR8ZzxpvGw8bnxwvHK8dLx2fHg8ebx7PHx8fbx+/H/8gPyCPIM8hDyFfIZ8h7yJPIq8jHyOfJB8kryVPJf8mvyd/KE8pLyofKx8sHy0fLi8vTzBfMX8yjzOvNL81zzbfN9843znPOq87jzxfPR89zz5/Px8/r0AvQK9BH0F/Qd9CP0KPQt9DL0N/Q89EH0RvRL9FD0VvRc9GL0afRw9Hf0fvSG9I70lvSe9Kb0rvS29L70xfTN9NT02vTg9Ob06/Tv9PP09vT59Pv0/fT+9P/0//T/9P70/vT99Pz0+vT59Pf09vT19PP08vTx9PD07/Tu9O307PTr9Or06fTn9Ob05fTj9OH03/Td9Nr01/TU9NH0zfTJ9MX0wfS99Ln0tfSx9K70qvSn9KX0o/Si9KH0ofSh9KP0pfSo9Kz0sPS19Lv0wvTK9NH02vTj9O309/UC9Q31GPUj9S71OvVG9VL1XvVq9Xb1gvWO9Zr1pvWy9b/1y/XX9eT18PX99gn2FvYi9i72O/ZG9lL2XfZo9nP2ffaG9o72lvac9qL2pvaq9qz2rPas9qr2p/aj9p72l/aP9of2ffZz9mj2XfZR9kX2OvYv9iT2GfYQ9gf2APX59fX18fXv9e/18PXz9fj1/vYG9hD2G/Yn9jT2QvZR9mH2cvaC9pP2pPa09sT20/bi9vD2/PcI9xL3G/cj9yn3Lvcx9zT3Nfc09zP3MPct9yn3Jfcg9xv3FvcR9wz3B/cD9wD2/fb79vr2+/b89v73AvcG9wz3FPcc9yX3L/c790f3VPdi93D3f/eP9573rve/98/34Pfw+AD4EPgg+DD4P/hO+F34a/h4+Ib4kvif+Kr4tvjA+Mv41Pjd+Ob47vj1+Pv5AfkH+Qv5D/kS+RX5F/kY+Rj5F/kW+RT5EfkO+Qr5BfkA+Pv49fjv+On44vjb+NX4zvjI+ML4vfi4+LP4r/is+Kn4p/im+Kb4pvin+Kn4rPiw+LT4uPi++MT4yvjR+Nj43/jn+O749vj++Qb5DvkV+R35JPks+TP5O/lC+Un5UPlX+V75Zvlt+XX5fPmE+Yz5lPmd+aX5rvm3+cD5yfnS+dz55fnu+ff6APoJ+hH6Gvoh+in6L/o2+jv6QfpF+kn6TfpQ+lP6VfpX+lj6Wfpa+lv6W/pb+lz6XPpd+l36Xvpg+mH6Yvpk+mb6afpr+m76cPpz+nb6efp7+n76gPqC+oT6hfqG+ob6hvqF+oT6gvqA+n36evp2+nL6bvpp+mX6YPpb+lb6UfpN+iD6Hfob+hj6FfoT+hH6D/oN+gv6CfoI+gb6BfoE+gP6AvoB+gH6APoA+gD6APoB+gH6AvoD+gX6B/oJ+g36EPoU+hn6Hvok+ir6Mvo5+kL6S/pV+l/6avp1+oH6jfqZ+qb6svq/+sv61/ri+u36+PsC+wv7E/sb+yH7J/ss+zD7Mvs0+zX7Nfs1+zT7Mvsw+y37Kvsn+yT7Ivsf+x37HPsb+xv7HPse+yH7Jvsr+zH7OftC+0z7V/tj+3D7f/uN+537rvu++9D74fvz/AX8Fvwo/Dn8Sfxa/Gr8efyH/JX8ovyu/Ln8xPzO/Nf83/zn/O789Pz6/P/9BP0J/Q39Ef0U/Rf9G/0e/SD9I/0m/Sj9K/0t/S/9Mf0z/TT9Nv03/Tf9OP04/Tf9Nv01/TP9Mf0v/Sz9KP0k/SD9HP0X/RL9Df0H/QL8/Pz3/PL87Pzn/OL83vza/Nb80vzQ/M38y/zJ/Mj8yPzI/Mj8yfzK/Mv8zfzP/NL81PzX/Nr83fzh/OT85/zr/O788fz1/Pj8+/z+/QL9Bf0I/Qv9Dv0R/RT9GP0b/R79If0k/Sf9Kv0t/TD9M/02/Tn9O/0+/UD9Qv1E/UX9Rv1H/Uj9SP1I/Uf9R/1G/UX9Q/1B/UD9Pv08/Tr9OP02/TT9M/0y/TH9MP0w/TD9MP0x/TL9NP02/Tn9PP0//UP9R/1L/U/9U/1X/Vv9Xv1i/WX9aP1q/Wz9bf1u/W79bf1s/Wn9Z/1j/V/9Wv1U/U39Rv0//Tb9Lv0l/Rv9Ef0H/P388/zo/N380/zI/L38s/yo/J38k/yI/H78dPxp/F/8VfxL/ED8Nvws/CL8F/wN/AP7+Pvu++P72PvO+8P7uPut+6L7l/uM+4H7d/ts+2H7VvtL+0H7Nvsr+yH7FvsL+wH69vrr+uD61frK+r/6s/qo+pz6j/qD+nb6avpc+k/6Qvo0+ib6GPoJ+fv57Pne+c/5wfmy+aT5lvmI+Xr5bflf+VL5Rfk5+Sz5IPkU+Qn4/vjy+Of43PjS+Mf4vPix+Kb4nPiR+Ib4evhv+GP4WPhM+ED4M/gn+Bv4DvgB9/X36Pfc98/3w/e396v3n/eT94j3ffdy92j3XvdU90r3Qfc39y73Jfcc9xP3CvcB9vj27vbk9tr20PbF9rn2rfah9pT2hvZ49mn2WvZL9jv2KvYZ9gj19vXl9dP1wPWu9Zz1ivV39WX1U/VB9TD1HvUN9Pz06/Ta9Mr0ufSp9Jn0ifR59Gn0WfRI9Dj0KPQY9Afz9vPl89Tzw/Oy86Dzj/N982vzWfNH8zXzI/MS8wDy7/Le8s3yvfKt8p3yjvKA8nLyZPJX8kvyP/I08inyH/IW8gzyBPH88fTx7fHm8eDx2vHU8c/xyvHF8cDxvPG48bTxsPGs8anxpfGi8Z/xnPGZ8ZbxlPGR8Y/xjfGK8YjxhvGE8YLxgPF+8XzxevF48XbxdPFy8XDxbvFr8WnxZ/Fk8WLxX/Fc8VrxV/FU8VHxTvFL8UjxRfFD8UDxPfE78TjxNvE08TLxMPEv8S7xLfEs8SzxLPEs8S3xLvEv8TDxMvE08TbxOfE78T7xQvFF8UjxTPFP8VPxV/Fa8V7xYvFl8WnxbPFw8XPxd/F68X3xgfGE8Yjxi/GP8ZPxmPGd8aLxqPGu8bXxvfHF8c7x2PHj8e/x/PIJ8hjyJ/I38kjyWfJr8n3yj/Kh8rTyxfLX8ufy9/MF8xLzHfMm8y7zM/M18zXzMvMs8yPzF/MI8vby4vLK8q/ykvJz8lHyLfII8eHxuvGR8WnxQPEY8PHwyvCm8IPwYvBD8CfwDe/37+Pv0u/F77rvs++u76zvrO+v77Pvue/B78rv0+/d7+bv7+/47//wBvAK8A3wDvAM8AnwAu/67+/v4u/S78DvrO+W73/vZu9M7zLvF+777uDuxu6s7pPue+5l7lHuPu4u7iDuFO4L7gTt/+397fzt/u4C7gjuD+4Y7iLuLe457kbuUu5f7mzuee6F7pHunO6m7q/uuO6/7sXuyu7O7tHu0+7T7tTu0+7S7tDuzu7L7sjuxu7D7sDuvu677rruuO637rfut+647rnuuu697r/uw+7G7sruzu7T7tfu3O7g7uXu6e7t7vHu9O737vnu++787v3u/e787vvu+u737vTu8e7s7uju4+7d7tju0u7M7sXuv+647rLurO6m7qHum+6W7pLuju6L7ojuhu6F7oTuhO6F7ofuie6N7pHule6b7qHup+6v7rfuv+7I7tLu3O7m7vHu/O8I7xPvH+8r7zfvQ+9P71vvZ+9z73/vi++W76Lvre+478LvzO/W7+Dv6e/y7/rwAvAJ8BHwF/Ad8CPwKfAu8DLwN/A78D7wQvBF8EjwSvBN8FDwUvBV8FjwWvBd8GDwZPBn8Gvwb/B08HjwffCD8IjwjvCU8JrwoPCm8Kzws/C58L7wxPDK8M/w0/DY8Nzw3/Di8OXw5/Do8Onw6vDq8Orw6fDp8Ojw5/Dm8OXw5PDj8OPw4/Dk8OXw5vDp8Ovw7/Dz8Pnw/vEF8QzxFPEd8SbxMPE68UXxUPFb8WfxcvF+8YnxlfGg8avxtvHA8crx0/Hc8eTx7PH08fvyAvII8g7yFPIa8iDyJfIr8jHyN/I98kPySvJR8lnyYfJq8nPyffKH8pLynfKp8rXywfLO8tvy6fL28wTzEfMf8yzzOvNH81TzYfNt83nzhfOQ85vzpvOw87rzxPPO89fz4fPq8/Pz/fQG9A/0GfQj9C30N/RB9Ez0V/Rj9G70evSG9JL0nvSq9Lb0wvTO9Nn05PTv9Pr1A/UN9RX1HfUk9Sv1MPU19Tn1PPU/9UD1QfVB9UD1P/U99Tv1OPU19TH1LfUp9ST1IPUb9Rf1EvUN9Qj1A/T/9Pr09fTw9Oz05/Ti9N302PTT9M70yfTD9L70uPSy9Kz0pvSg9Jr0lPSN9If0gfR79Hb0cPRr9Gf0YvRf9Fz0WfRX9Fb0VfRW9Fb0WPRa9F30YfRm9Gv0cfR39H70hvSO9Jf0oPSq9LT0vvTJ9NT04PTs9Pj1BfUS9SD1LvU89Uv1WvVq9Xr1ivWb9az1vvXP9eH18/YF9hf2KfY79kz2XfZu9n32jPaa9qf2s/a99sf2zvbU9tn22/bc9tv22fbU9s72x/a99rL2pvaZ9ov2e/Zr9lv2SvY49if2FvYG9fb15/XZ9cz1wfW29a71pvWh9Z31m/Wa9Zz1nvWj9aj1sPW49cH1zPXX9eP17/X79gj2FPYh9i32OPZD9k32V/Zf9mb2bfZy9nf2evZ99n/2f/Z/9n/2fvZ89nr2ePZ39nX2c/Zy9nH2cfZy9nT2dvZ69n/2hfaN9pX2n/aq9rf2xfbU9uT29fcI9xv3L/dF91r3cPeH9573tffM9+P3+vgQ+Cb4PPhR+GX4ePiK+Jv4q/i6+Mf40/je+Oj48Pj3+Pz5APkD+QT5BPkD+QD4/fj4+PP47fjm+N741vjN+MT4u/iy+Kj4n/iW+I34hPh8+HX4bvho+GL4Xvha+Ff4VfhT+FP4U/hU+Fb4Wfhc+GD4ZPhp+G/4dPh7+IH4h/iO+JX4nPij+Kr4sPi3+L74xPjL+NH41/je+OT46vjx+Pf4/vkE+Qv5E/ka+SL5Kvky+Tv5RPlN+Vb5YPlq+XT5f/mJ+ZT5nvmo+bL5vfnG+dD52fni+er58fn5+f/6BfoL+hD6FPoY+hv6Hvog+iL6I/ok+iX6Jfom+ib6Jvom+if6J/on+ij6KPop+ir6K/os+i36L/ow+jL6M/o1+jf6OPo6+jv6PPo9+j76Pvo++j76Pvo9+jz6Ovo5+jf6Nfoz+jD6Lvor+ij6Jvoj+gz6C/oL+gr6CfoI+gf6BfoE+gH5//n9+fr59/n0+fD57fnq+eb54/ng+d352vnX+dX50/nS+dH50fnR+dP51PnX+dv53/nk+ev58vn6+gP6DfoX+iL6Lvo7+kj6Vvpj+nH6f/qO+pv6qfq3+sP60Prb+ub68Pr5+wH7CPsO+xP7F/sa+xz7HPsc+xz7GvsY+xX7EvsO+wv7B/sD+wD6/fr6+vj69/r2+vf6+Pr6+v37AvsH+w77Ffse+yj7M/s++0v7WPtm+3T7g/uS+6H7sfvA+8/73/vu+/z8C/wZ/Cb8M/w//Er8Vfxf/Gn8cvx6/IL8ifyP/JX8m/yg/KX8qvyu/LP8t/y6/L78wvzF/Mj8zPzP/NL81fzY/Nr83fzf/OH84/zl/Ob85/zn/Of85/zn/OX85Pzi/OD83fza/Nf80/zP/Mv8xvzC/L38ufy0/K/8q/ym/KL8nvya/Jf8lPyR/I/8jfyL/Ir8ifyJ/In8ivyL/Iz8jfyP/JH8lPyW/Jn8nPyf/KP8pvyp/K38sPy0/Lf8uvy+/MH8xPzH/Mr8zfzQ/NP81fzY/Nr83Pze/OD84fzj/OT85fzm/Of85/zo/Oj86Pzo/Oj85/zn/Ob85fzl/OT84/zi/OH84Pzf/N783fzc/Nz82/zb/Nv82/zc/Nz83fze/OD84fzj/OX85/zp/Ov87vzw/PP89fz3/Pr8/Pz9/P/9AP0B/QL9Av0C/QL9APz//P38+vz4/PT88Pzs/Of84vzc/Nb8z/zI/MH8ufyx/Kn8ofyY/I/8hvx9/HP8avxg/Fb8TPxC/Dj8Lvwj/Bn8DvwE+/n77vvj+9j7zfvC+7f7rPuh+5b7jPuA+3b7a/tg+1X7SvtA+zX7K/sh+xb7DPsC+vj67frj+tn6z/rF+rr6sPql+pv6kPqF+nn6bvpi+lb6Svo9+jD6I/oW+gj5+/nt+d/50PnC+bP5pfmW+Yj5evlr+V35T/lB+TT5JvkZ+Qz5APjz+Oj43PjQ+MX4uviw+KX4m/iR+If4ffhz+Gn4X/hV+Ev4Qfg3+C34I/gZ+A74BPf59+735PfZ9873w/e49633oveY9433g/d49273ZPda91D3R/c+9zT3K/ci9xr3EfcI9v/29vbt9uT22/bR9sf2vfaz9qj2nfaR9oX2efZs9l/2UfZD9jT2JfYV9gX19fXl9dT1w/Wy9aH1j/V+9Wz1W/VJ9Tj1JvUV9QT08vTh9ND0wPSv9J70jvR99G30XPRM9Dz0LPQc9Avz+/Pr89vzyvO686rzmfOJ83nzaPNY80jzOPMo8xjzCfL58ury2/LM8r7yr/Ki8pTyh/J68m7yYvJW8kvyQPI28izyIvIZ8hDyCPH/8fjx8fHq8ePx3fHX8dHxzPHH8cPxv/G78bfxtPGx8a7xq/Gp8afxpfGk8aLxofGg8Z/xnvGd8Z3xnPGb8ZvxmvGZ8Zjxl/GW8ZTxk/GR8Y/xjfGL8YjxhfGC8X/xfPF48XXxcfFt8WrxZvFj8WDxXfFa8VfxVfFT8VHxUPFQ8U/xT/FQ8VHxUvFU8VbxWfFc8V/xYvFm8WrxbvFx8XXxefF88X/xgvGF8YfxifGK8YvxjPGM8YvxivGJ8YfxhfGD8YDxfvF78Xnxd/F28XXxdPF18XbxePF88YDxh/GO8ZfxofGt8brxyfHZ8evx/vIS8ifyPfJT8mrygfKY8q/yxfLb8u/zAvMU8yPzMPM780PzSfNL80rzRvM/8zTzJvMV8wDy6fLO8rHykfJv8kvyJfH+8dbxrvGF8VzxNPEO8OjwxPCi8IPwZvBM8DTwIfAQ8ALv+e/y7+7v7u/w7/bv/vAI8BTwIfAw8D/wT/Bf8G/wffCL8Jjwo/Cr8LLwtvC38LbwsvCr8KHwlPCE8HHwXfBF8CzwEe/079bvuO+Z73nvWu877x3vAO7k7srusu6c7ojudu5n7lvuUe5K7kXuQ+5D7kXuSe5Q7ljuYe5s7njuhe6S7qDure677sju1e7h7uzu9+8A7wjvD+8V7xnvHe8f7yDvIO8f7x3vGu8X7xTvD+8L7wfvA+7+7vvu9+707vLu8O7v7u7u7+7w7vLu9O747vzvAO8F7wrvEO8W7x3vI+8p7y/vNe867z/vQ+9H70rvTO9N703vTe9L70nvRe9B7zzvNu8v7yfvH+8W7w3vA+767u/u5e7b7tHuyO6/7rburu6m7qDumu6V7pHuju6N7ozujO6O7pDulO6Z7p/upu6u7rbuwO7L7tbu4u7v7vzvCe8X7yXvM+9C71DvX+9t73zviu+X76Xvsu+/78vv1+/i7+3v9/AB8ArwEvAb8CLwKvAw8DfwPfBC8EjwTfBR8FbwWvBe8GLwZvBq8G7wcvB28Hrwf/CD8IjwjPCR8JbwnPCh8KfwrPCy8LjwvvDE8Mrw0PDW8Nzw4fDn8Ozw8fD18Pnw/fEA8QLxBfEH8QjxCfEJ8QnxCfEI8QfxBfEE8QLxAPD/8P3w+/D68Pnw+fD48Pnw+fD78P3xAPED8QjxDfET8RnxIfEp8THxO/FE8U/xWfFk8XDxe/GH8ZPxnvGq8bXxwPHL8dXx3/Ho8fHx+fIB8gjyD/IV8hvyIPIl8iryLvIy8jbyOvI+8kLyRvJK8k/yVPJZ8l/yZvJs8nTyfPKE8o7yl/Kh8qzyt/LD8s/y2/Lo8vXzAvMQ8x3zK/M480XzU/Ng823zevOG85Pzn/Or87fzwvPO89nz5PPv8/r0BfQQ9Bv0JvQy9D30SPRU9GD0bPR49IX0kfSe9Kr0t/TE9ND03fTp9Pb1AfUN9Rj1I/Ut9Tf1P/VI9U/1VvVc9WH1ZfVo9Wv1bPVt9W31bPVq9Wj1ZfVh9Vz1V/VR9Uv1RPU99Tb1LvUm9R31FfUM9QP0+vTx9Oj03/TW9M30xPS79LL0qvSh9Jn0kfSJ9IH0efRy9Gv0ZfRf9Fn0VPRP9Er0R/RD9ED0PvQ89Dv0OvQ69Dv0PPQ+9ED0Q/RG9Er0TvRS9Fj0XfRj9Gn0cPR39H70hfSN9JX0nvSn9LD0uvTE9M702fTl9PH0/fUK9Rj1JvU19UX1VfVm9Xj1ivWc9bD1w/XX9ev2APYU9ij2PPZQ9mT2dvaI9pn2qfa49sX20fbb9uP26vbu9vH28vbx9u326Pbh9tf2zPa/9rH2ofaQ9n72avZW9kL2LfYY9gT18PXc9cn1t/Wm9Zb1iPV89XH1aPVh9Vv1WPVW9Vf1WfVc9WL1aPVx9Xr1hPWQ9Zz1qPW19cL1z/Xc9en19fYA9gv2FfYe9ib2LfYz9jj2PPY/9kH2QvZC9kL2QfZA9j/2PfY89jv2OvY69jr2O/Y99kH2RfZL9lL2W/Zl9nH2f/aO9p72sfbE9tn28PcH9yD3OfdU9273ivel98H33ff4+BL4LfhG+F74dfiL+KD4s/jE+NT44fjt+Pf4//kF+Qr5DPkN+Qv5CfkE+P749/jv+OX42/jQ+MT4uPis+J/4k/iG+Hr4b/hk+Fn4UPhH+D/4Ofgz+C74K/gp+Cf4J/go+Cr4LPgw+DT4Ofg/+EX4S/hS+Fr4Yfho+HD4d/h++Ib4jPiT+Jn4n/il+Kv4sPi1+Ln4vvjC+Mb4yvjP+NP41/jc+OD45vjr+PD49/j9+QT5C/kT+Rz5JPkt+Tf5QflL+VX5YPlq+XX5gPmK+ZX5n/mp+bP5vPnF+c351fnc+eP56Pnu+fP59/n6+f35//oB+gL6A/oE+gT6A/oD+gL6AfoA+f/5/fn8+fv5+vn5+fj59/n2+fb59vn2+fb59vn2+ff5+Pn5+fr5+/n8+f35//oA+gH6A/oE+gX6BvoI+gn6CfoK+gv6C/oM+gD6AvoE+gX6B/oH+gf6B/oG+gT6AvoA+f35+vn2+fL57vnp+eX54Pnb+df50vnO+cr5xvnD+cD5vvm9+b35vfm++cD5w/nH+cz50vnY+eD56fnz+f36CPoU+iD6Lfo6+kf6Vfpi+nD6ffqK+pf6o/qv+rr6xPrO+tb63vrl+ur67/rz+vX69/r4+vj6+Pr3+vX68/rw+u366vrn+uT64fre+tz62vrZ+tn62fra+tz63vri+uf67Pry+vr7AvsL+xT7H/sq+zX7QftO+1r7Z/t1+4L7j/uc+6n7tvvC+8/72vvl+/D7+/wF/A78F/wf/Cf8L/w2/Dz8Q/xI/E78U/xZ/F38Yvxn/Gv8b/x0/Hj8fPyA/IT8iPyL/I/8k/yW/Jn8nPyf/KL8pPym/Kj8qfyq/Kr8qvyq/Kn8qPyn/KX8ovyf/Jz8mfyV/JH8jfyJ/IT8gPx7/Hb8cvxt/Gn8ZPxg/Fz8WfxW/FP8UPxO/Ez8SvxJ/En8SPxI/Ej8SfxK/Ez8TfxP/FH8U/xV/Fj8Wvxd/GD8Y/xl/Gj8a/xt/HD8cvx0/Hb8ePx6/Hv8ffx+/H/8f/yA/ID8gPyA/ID8gPx//H/8fvx9/Hz8e/x6/Hn8d/x2/HX8dPxy/HH8cPxv/G78bvxt/Gz8bPxs/Gz8bPxs/Gz8bfxt/G78b/xw/HH8cvxz/HT8dfx2/Hf8ePx5/Hn8evx6/Hr8evx6/Hr8efx4/Hf8dfxz/HH8bvxs/Gj8Zfxh/F38WPxT/E78SPxC/Dz8Nfwv/Cf8IPwY/BH8CPwA+/f77vvl+9z70/vJ+7/7tfur+6H7lvuM+4H7d/ts+2L7V/tM+0H7N/ss+yH7F/sM+wL6+Pru+uP62frP+sX6vPqy+qj6n/qV+oz6gvp5+m/6Zvpc+lL6SPo++jT6Kvof+hX6Cfn++fP55/nb+c/5wvm2+an5nPmP+YL5dPln+Vn5TPk++TH5I/kW+Qn4/Pjv+OL41vjK+L74svin+Jz4kfiG+Hz4cvho+F/4VfhM+EP4Ofgx+Cj4H/gW+A34BPf79/L36ffg99b3zffE97r3sPen9533k/eJ93/3dfdr92H3V/dN90P3Ofcw9yb3HfcT9wr3APb39u725fbb9tL2yfbA9rf2rfak9pr2kPaG9nz2cfZm9lv2T/ZE9jf2K/Ye9hH2A/X29ef12fXK9bv1rPWc9Y31ffVs9Vz1TPU79Sv1GvUK9Pn06fTY9Mj0t/Sn9Jf0h/R39Gf0V/RI9Dj0KfQa9Avz/PPt897z0PPB87PzpfOX84nze/Nt81/zUvNE8zfzKvMd8xDzBPL38uvy3/LT8sfyvPKx8qXym/KQ8obyfPJy8mjyX/JW8k3yRPI88jTyLfIm8h/yGPIS8gzyB/IC8f3x+fH08fHx7fHq8ejx5fHj8eHx4PHf8d3x3fHc8dvx2vHa8dnx2PHY8dfx1vHV8dTx0/HR8c/xzfHL8cnxxvHD8b/xvPG48bXxsfGt8anxpfGh8Z3xmfGV8ZLxj/GM8Ynxh/GG8YTxhPGD8YTxhPGG8YfxifGM8Y/xkvGW8ZrxnfGi8abxqfGt8bHxtPG38brxvPG+8b/xv/G/8b7xvfG78bjxtfGx8a3xqPGj8Z7xmfGU8Y/xivGG8YLxf/F98Xvxe/F78X3xgfGF8Yvxk/Gc8abxsvG/8c3x3fHt8f/yEfIj8jfySvJd8nDygvKT8qPysvLA8svy1fLd8uLy5vLm8uTy3/LX8s3ywPKx8p/yivJ08lvyQfIl8gjx6vHM8a3xjvFw8VLxNvEa8QDw6fDT8L/wrvCg8JXwjPCH8ITwhfCI8I7wlvCh8K7wvfDO8N/w8vEG8RrxLvFB8VTxZvF28YXxkvGd8aXxq/Gu8a7xq/Gm8Z3xkvGE8XPxX/FJ8TLxGPD88ODwwvCj8ITwZfBH8CjwC+/u79Pvuu+i74zvee9n71jvS+9A7zjvMu8v7y3vLu8w7zTvOu9B70nvUu9b72XvcO9674Tvju+X76DvqO+v77Tvue+977/vwO/A77/vve+577XvsO+q76Tvne+V747vh+9/73jvce9q72TvX+9a71fvVO9R71DvUO9Q71HvU+9W71rvXu9i72fvbO9y73fvfO+B74bvi++P75Lvle+X75jvmO+X75Xvk++P74vvhu+A73nvce9o71/vVu9M70LvOO8u7yPvGu8Q7wfu/u727u7u6O7i7t3u2u7X7tbu1e7W7tju2+7f7uTu6u7y7vrvA+8N7xfvI+8u7zrvR+9U72Hvbu9874nvlu+j77DvvO/I79Tv3+/q7/Tv/vAI8BHwGfAh8CnwMPA38D3wRPBK8FDwVfBb8GDwZvBr8HDwdvB78IHwh/CN8JPwmfCg8KbwrfC08LvwwvDJ8NHw2PDf8Obw7fD08PrxAPEG8QzxEfEW8RrxHvEi8STxJ/Eo8SrxK/Er8SvxKvEp8SjxJvEl8SPxIfEf8R3xG/Ea8RjxGPEX8RfxGPEa8RzxH/Ei8SfxLPEy8TnxQfFK8VTxXvFp8XTxgPGN8Zrxp/G08cLxz/Hc8erx9vID8g/yGvIl8i/yOPJB8kjyT/JV8lryXvJi8mTyZvJn8mjyaPJn8mbyZfJk8mPyYvJh8mDyYPJg8mDyYvJk8mfya/Jv8nXyfPKD8ozylfKf8qvyt/LE8tHy3/Lu8v7zDfMd8y7zPvNP81/zcPOA85DzoPOw87/zzfPc8+nz9vQD9A/0G/Qn9DH0PPRG9FD0WvRj9Gz0dfR+9If0kPSZ9KL0q/S19L70x/TR9Nv05fTv9Pn1A/UN9Rf1IfUr9TT1PvVH9VD1WPVg9Wf1bvV09Xr1f/WD9Yb1ifWK9Yv1i/WK9Yj1hvWC9X71ePVy9Wv1ZPVb9VP1SfU/9TT1KfUe9RL1B/T79O/04vTW9Mr0v/Sz9Kj0nfST9In0gPR39G/0Z/Rh9Fv0VvRR9E70S/RJ9Ej0R/RI9En0SvRN9FD0VPRY9F30YvRo9G70dPR79IL0ifSQ9Jj0n/Sn9K/0t/S/9Mf0z/TY9OH06fTz9Pz1BvUQ9Rr1JvUx9T31SvVX9WX1c/WD9ZL1o/W09cX11/Xq9f32EPYj9jb2SfZd9m/2gfaT9qT2tPbD9tH23fbo9vL2+vcA9wT3B/cH9wb3A/b+9vf27vbk9tj2yva89qz2m/aJ9nb2ZPZQ9j32KvYX9gX19PXj9dT1xfW49a31o/Wb9ZT1j/WM9Yv1i/WN9ZH1lvWc9aT1rfW29cH1zPXX9eP17/X69gb2EfYb9iX2LvY29j32RPZI9k32T/ZR9lL2UvZR9k/2TfZJ9kb2QvY/9jv2OPY19jP2MfYx9jH2M/Y39jv2QvZK9lT2YPZt9n32jvag9rX2y/bj9vz3Fvcy9073a/eI96b3xPfi9//4HPg4+FT4bviH+J74tPjI+Nr46vj5+QX5D/kX+R35Ifki+SL5IPkc+Rf5EPkI+P749Pjp+N340PjE+Lf4qvid+JH4hfh6+HD4Z/he+Ff4UfhM+Ej4RfhE+ET4RPhH+Er4TvhT+Fj4X/hm+G34dfh++Ib4j/iX+KD4qPiw+Lf4v/jG+Mz40vjX+Nz44fjl+Oj46/ju+PH48/j1+Pf4+fj7+P34//kC+QT5CPkL+Q/5E/kY+R35I/kq+TD5OPk/+Uj5UPlZ+WL5a/l1+X75h/mR+Zr5o/ms+bT5vPnE+cv50vnY+d354vnm+en57Pnu+fD58fnx+fH58Pnv+e356/np+ef55Pnh+d/53PnZ+db50/nR+c/5zfnL+cr5yfnJ+cj5yfnJ+cr5zPnO+dD50vnV+dj52/nf+eL55vnp+e358fn0+ff5+/n9+fP59vn4+fr5/Pn9+f75/vn9+fz5+/n5+ff59Pnx+e356fnl+eD53PnX+dL5zvnJ+cX5wfm++br5uPm2+bX5tPm0+bX5t/m5+b35wfnG+cz50/na+eP56/n1+f76CfoU+h76Kvo1+kD6S/pW+mH6a/p1+n76h/qP+pf6nvqk+qn6rvqy+rX6t/q4+rn6uvq6+rn6uPq3+rX6s/qx+q/6rfqs+qv6qvqp+qn6qfqq+qz6rvqx+rX6ufq++sT6yvrS+tn64vrr+vT6/vsI+xL7Hfso+zP7PvtJ+1T7X/tq+3T7f/uJ+5L7nPul+677tvu++8X7zPvT+9r74Pvm++z78vv3+/z8AfwG/Av8EPwU/Bn8Hvwi/Cf8K/wv/DT8OPw8/ED8RPxI/Ez8T/xT/Fb8WPxb/F38X/xg/GH8Yvxi/GL8Yvxh/GD8Xvxc/Fn8V/xU/FD8TfxJ/EX8Qfw9/Dn8Nfww/Cz8KPwk/CD8HfwZ/Bb8E/wQ/A78C/wJ/Aj8BvwF/AT8BPwE/AP8BPwE/AX8BfwG/Af8CPwJ/Ar8C/wN/A78D/wQ/BH8EvwT/BP8FPwU/BX8FfwV/BX8FPwU/BP8E/wS/BH8EPwP/A78DPwL/Ar8CPwH/AX8BPwC/AH8APv++/37/Pv7+/r7+fv4+/f79vv1+/X79Pvz+/P78vvx+/H78Pvw++/77/vu++377Pvs++v76fvo++f75fvk++L74Pve+9v72fvW+9P70PvM+8j7xfvA+7z7t/uz+637qPui+537lvuQ+4r7g/t8+3T7bftl+137VftN+0T7O/sy+yn7IPsX+w37A/r6+vD65vrc+tL6yPq++rT6qvqg+pb6jPqC+nj6bvpl+lv6UvpI+j/6Nvos+iP6GvoR+gf5/vn1+ez54vnZ+dD5xvm8+bL5qfmf+ZT5ivl/+XX5avlf+VP5SPk9+TH5JfkZ+Q75Avj2+Or43vjS+Mb4uviv+KP4mPiN+IL4d/hs+GL4WPhO+ET4O/gx+Cj4H/gW+A74Bff99/X37Pfk99z31PfM98T3u/ez96v3ovea95H3iPd/93b3bfdj91r3UPdH9z33M/cp9x/3FfcL9wH29/bt9uP22fbP9sX2u/ax9qj2nvaU9or2gfZ39m32Y/Za9lD2RvY89jL2KPYd9hP2CPX99fL15/Xb9c/1w/W39av1nvWR9YT1dvVp9Vv1TfU/9TD1IvUT9QX09vTn9Nj0yfS69Kv0nPSN9H70cPRh9FL0RPQ29Cj0GvQM8/7z8fPk89fzyvO987HzpPOY84zzgPN182nzXvNT80jzPfMz8yjzHvMU8wrzAPL28u3y4/La8tHyyPK/8rbyrvKm8p7ylvKO8ofygPJ58nLybPJm8mDyWvJV8lDyTPJH8kPyQPI88jnyNvI08jHyL/Iu8izyKvIp8ijyJ/Im8iXyI/Ii8iHyIPIf8h3yHPIa8hjyFfIT8hDyDfIJ8gbyAvH+8frx9fHx8ezx5/Hi8d3x2PHU8c/xy/HG8cLxv/G78bnxtvG08bLxsfGw8bDxsPGx8bLxtPG18bjxuvG98cDxw/HG8cnxzPHP8dHx1PHW8djx2fHZ8dnx2fHY8dbx1PHR8c7xyvHF8cDxu/G18a/xqfGj8Z3xl/GR8YvxhvGB8X3xevF38XXxdPF18XbxePF78X/xhPGK8ZHxmfGi8avxtfG/8cnx1PHf8enx9PH+8gfyD/IX8h7yI/In8iryLPIs8iryJ/Ij8hzyFfIM8gLx9/Hq8d3xz/HB8bLxo/GU8YXxd/Fp8V3xUfFH8T7xN/Ey8S7xLPEt8S/xNPE68ULxTfFZ8Wfxd/GI8ZrxrfHB8dXx6fH+8hLyJvI58kvyXPJr8njyhPKO8pXymvKc8p3ymvKV8o7yhPJ48mryWfJH8jPyHfIG8e/x1vG88aLxifFv8VbxPfEl8Q7w+PDk8NHwwPCw8KLwlvCM8ITwfvB58HbwdPB08HbwePB78IDwhfCK8JDwlvCb8KHwpvCr8K/wsvC18LbwtvC28LTwsfCt8KjwofCa8JLwifB/8HXwavBe8FLwRvA68C7wI/AX8AzwAu/47+7v5u/e79fv0O/L78bvw+/A773vvO+777vvu++8773vvu+/78Hvwu/D78Tvxe/G78bvxe/E78Pvwe++77vvt++z767vqe+j753vlu+Q74nvgu9773Tvbu9n72HvW+9W71HvTu9K70fvRu9F70TvRe9G70nvTO9Q71TvWe9g72bvbu91737vh++Q75nvo++s77bvwO/K79Tv3e/n7/Dv+fAC8ArwEvAb8CLwKvAx8DjwP/BG8EzwU/BZ8F/wZvBs8HPwefCA8IfwjvCV8J3wpfCt8LXwvvDG8M/w2PDh8Orw8/D88QXxDvEW8R7xJ/Eu8TXxPPFC8UjxTfFR8VXxWPFa8VzxXfFd8V3xXPFb8VnxVvFT8VDxTfFJ8UbxQvE/8TzxOfE38TXxNPE08TXxNvE48TzxQPFG8UzxVPFd8WfxcvF+8YvxmPGn8bfxx/HY8enx+vIM8h3yL/JA8lHyYfJx8oDyjvKb8qfysvK88sXyzPLS8tfy2vLc8t3y3PLa8tfy1PLP8snyxPK98rbyr/Ko8qHymvKU8o7yifKE8oHyfvJ98n3yfvKA8oXyivKR8pnyovKt8rnyx/LW8uXy9vMI8xrzLfNB81TzaPN985HzpfO588zz3/Py9AT0FfQl9DX0Q/RR9F70avR19H/0ifSR9Jn0oPSm9Kz0svS39Lv0wPTE9Mj0zfTR9Nb02vTf9OX06vTx9Pf0/vUG9Q71FvUf9Sj1MfU79UX1TvVZ9WP1bPV29YD1ifWR9Zn1ofWo9a71s/W49bv1vvW/9cD1v/W99br1tvWx9av1pPWc9ZP1iPV+9XL1ZvVZ9Uz1PvUw9SL1FPUG9Pj06vTc9M/0wvS29Kv0oPSW9Iz0hPR99Hb0cfRs9Gn0ZvRl9GT0ZPRm9Gj0a/Rv9HP0ePR+9IX0jPST9Jv0o/Ss9LX0vvTI9NH02/Tl9PD0+vUF9RD1G/Um9TL1PvVK9Vf1ZPVx9X/1jfWc9av1uvXK9dr16/X89g72H/Yy9kT2VvZo9nr2jfae9rD2wfbR9uH27/b99wr3Fvcg9yn3Mfc39zz3P/dA90D3Pvc79zb3MPco9x/3FfcJ9v327/bh9tL2w/a09qT2lfaF9nb2aPZa9k32QfY29iz2I/Yc9hb2EfYN9gv2CvYL9gz2D/YS9hf2HPYj9in2MPY39j72RvZN9lP2WvZf9mT2afZs9m72cPZw9nD2b/Zs9mn2ZfZf9lr2VPZN9kb2P/Y39jH2KvYk9h72GvYW9hT2E/YU9hb2GvYf9if2MPY89kn2WPZq9n32kvap9sH22/b29xP3MPdP9273jfes98z36/gK+Cn4Rvhj+H74mPix+Mf43fjw+QH5Efke+Sn5Mvk6+T/5Q/lE+UT5Qvk/+Tr5NPkt+SX5HfkU+Qr5APj2+Oz44/jZ+NH4yfjB+Lr4tfiw+Kz4qfin+Kb4p/io+Kr4rfix+LX4u/jB+Mf4zvjV+N345Pjs+PP4+/kC+Qn5EPkW+Rz5Ifkm+Sr5Lvky+TX5N/k5+Tv5PPk9+T35Pvk++T/5P/lA+UD5QflC+UP5RflG+Un5TPlP+VP5V/lb+WD5Zflr+XH5ePl++YX5jPmT+Zr5ofmo+a/5tvm8+cL5yPnN+dL51vna+d354Pni+eT55fnl+eX55fnk+eP54fnf+dz52fnX+dP50PnN+cr5x/nE+cL5v/m9+bv5uvm5+bj5uPm4+bn5uvm7+b35wPnC+cb5yfnM+dD51PnY+dz54Pnk+ej57Pnw+ej56fnr+ez57fnu+e757vnt+ez56/np+ef55Pni+d/52/nY+dX50fnN+cr5xvnD+cD5vfm6+bj5tvm1+bT5s/mz+bT5tfm3+br5vfnB+cX5yvnP+dX53Pnj+er58fn5+gH6CfoR+hn6Ifoo+jD6N/o++kX6S/pR+lb6W/pf+mP6Zvpp+mv6bfpu+m/6cPpw+m/6b/pu+m36bPpr+mr6afpo+mj6aPpo+mj6afpq+mz6bvpx+nT6ePp9+oL6h/qN+pT6m/qi+qr6svq6+sP6zPrV+t766Prx+vv7BPsN+xb7H/so+zH7OftB+0n7UPtY+1/7Zfts+3L7ePt++4T7ifuO+5P7mPud+6L7p/ur+7D7tPu5+737wvvH+8v7z/vU+9j73fvh++X76fvt+/H79fv4+/z7//wB/AT8BvwI/Ar8C/wM/A38DfwN/A38DPwL/Ar8CPwG/AT8Avv/+/z7+fv2+/P77/vs++j75Pvh+9372fvW+9L7z/vM+8n7xvvD+8D7vvu7+7n7t/u2+7T7svux+7D7rvuu+637rPur+6r7qvup+6n7qPuo+6f7p/um+6b7pfuk+6T7o/ui+6H7ofug+5/7nvud+5z7m/uZ+5j7l/uW+5X7k/uS+5H7j/uO+437i/uK+4j7h/uG+4T7g/uB+4D7f/t9+3z7evt4+3f7dftz+3L7cPtu+2z7avto+2b7Y/th+1/7XPtZ+1b7VPtR+037SvtG+0P7P/s7+zf7M/su+yr7Jfsg+xv7FvsQ+wv7Bfr/+vj68vrr+uT63frW+s76x/q/+rf6r/qm+p76lfqM+oP6evpx+mj6X/pV+kz6Qvo5+i/6Jvoc+hL6Cfn/+fX57Pni+dj5z/nF+bz5svmp+Z/5lvmN+YP5evlw+Wf5XvlU+Uv5Qfk3+S35JPka+RD5Bvj8+PL46Pje+NP4yfi++LT4qvif+JX4i/iA+Hb4bPhi+Fj4TvhE+Dr4Mfgn+B74FfgM+AP3+/fy9+r34vfa99L3y/fD97v3tPet96X3nveX94/3iPeB93n3cvdq92L3WvdS90r3Qvc59zH3KPcf9xb3DfcE9vr28fbn9t320/bJ9r/2tfar9qH2l/aN9oP2ePZu9mT2WvZQ9kb2PPYy9ij2HvYU9gr2AfX39e314/XZ9c/1xPW69bD1pfWb9ZD1hfV69W/1Y/VY9Uz1QPU09Sj1HPUP9QP09vTp9Nz0z/TC9LT0p/Sa9Iz0f/Rx9GT0V/RJ9Dz0L/Qi9BX0CPP88+/z4/PX88vzv/Oz86jznPOR84fzfPNx82fzXfNT80rzQPM38y7zJfMc8xTzC/MD8vvy8/Ls8uTy3fLW8s/yyfLC8rzytvKw8qrypfKg8pvylvKS8o3yifKG8oLyf/J88nnydvJ08nHyb/Ju8mzyavJp8mfyZvJk8mPyYfJg8l/yXfJb8lryWPJV8lPyUfJO8kvyR/JE8kDyPPI48jTyL/Iq8iXyIPIb8hbyEPIL8gbyAPH78fbx8fHt8ejx5PHg8d3x2fHW8dTx0vHQ8c/xzvHO8c7xzvHO8c/x0PHR8dPx1PHV8dfx2PHa8dvx3PHd8d3x3fHd8dzx2/HZ8dfx1PHR8c3xyfHF8cDxuvG08a7xqPGi8ZvxlPGO8YfxgfF78XTxb/Fq8WXxYPFd8VrxV/FV8VTxU/FT8VTxVfFX8VnxXPFf8WPxZ/Fr8W/xdPF48X3xgfGF8YnxjfGQ8ZPxlfGY8ZnxmvGb8ZzxnPGb8ZvxmvGZ8Zjxl/GW8ZXxlPGU8ZXxlvGX8ZrxnfGh8abxrPGz8bzxxfHP8dvx6PH18gTyE/Ij8jTyRfJX8mnye/KN8p/ysfLC8tLy4vLw8v7zCvMV8x7zJvMr8zDzMvMz8zLzL/Mq8yTzG/MS8wby+vLs8t3yzfK88qvymfKH8nXyYvJQ8j7yLfId8g3x/vHw8ePx2PHN8cTxu/G18a/xq/Gn8aXxpPGj8aTxpfGm8ajxq/Gt8bDxsvG08bbxuPG58bnxuPG38bTxsfGt8afxofGa8ZHxiPF+8XLxZvFZ8UzxPvEv8SDxEfEC8PLw4vDT8MPwtPCm8JfwivB88HDwZPBY8E7wRPA68DLwKvAj8BzwFvAR8AzwCPAE8ADv/e/67/fv9O/y7/Dv7e/r7+jv5u/j7+Hv3u/b79jv1e/S78/vzO/J78bvw+/B777vvO+677jvt++277Xvte+177bvt++577vvve/A78TvyO/N79Lv1+/d7+Pv6e/w7/fv/vAF8A3wFPAc8CPwK/Ay8DrwQfBJ8FDwWPBf8GbwbfB08HvwgvCJ8JHwmPCf8KfwrvC28L7wxvDO8Nfw4PDp8PLw/PEG8RDxGvEk8S7xOfFD8U7xWPFi8WzxdvF/8YjxkPGY8Z/xpvGs8bHxtfG58bzxvvG/8b/xv/G98bvxuPG18bHxrPGn8aHxm/GV8Y/xifGD8X7xefF08XDxbPFq8WjxZ/Fo8WnxbPFw8XbxfPGE8Y7xmPGk8bLxwPHP8eDx8fIE8hbyKvI+8lLyZvJ68o7yofK08sby2PLo8vjzBvMT8x/zKfMy8znzPvNC80XzRfNF80LzP/M68zTzLfMl8xzzEvMJ8v7y9PLp8t/y1fLM8sPyu/K08q7yqvKn8qXypfKm8qnyrvK08rzyxvLR8t7y7PL88w3zH/My80bzW/Nw84bznPOz88nz4PP29Az0IfQ19En0XPRt9H70jvSd9Kr0tvTB9Mv01PTb9OL05/Ts9PD08vT19Pf0+PT59Pn0+vT69Pv0/PT99P71APUD9Qb1CfUO9RP1GPUf9Sb1LvU29T/1SfVT9V31aPVz9X71ifWV9aD1qvW19b/1yPXR9dn14PXm9ev17/Xy9fP19PXz9fH17vXp9eP13PXU9cv1wfW19an1nPWP9YD1cvVi9VP1Q/Uz9SP1FPUE9PX05vTY9Mv0vvSy9Kb0nPSS9Ir0gvR89Hb0cvRv9Gz0a/Rr9Gz0bvRx9HX0evSA9Ib0jvSW9J/0qfSz9L70yvTW9OP08PT+9Qz1G/Uq9Tr1SvVa9Wv1ffWO9aH1s/XG9dn17PYA9hP2J/Y79k/2ZPZ39ov2n/ay9sX22Pbq9vv3DPcc9yv3OfdG91L3Xfdn92/3dvd894H3g/eF94X3hPeC9373efdz92v3Y/da91D3Rfc59y33IfcV9wj2+/bu9uL21vbK9r/2tfar9qL2mvaT9oz2h/aC9n/2fPZ69nj2ePZ49nj2efZ79n32f/aA9oL2hPaF9of2h/aH9of2hvaE9oH2ffZ59nT2bvZn9mD2WPZQ9kf2PfY09ir2IPYX9g72BfX99fb17/Xq9eb14/Xi9eL15PXo9e719vYA9gv2GfYp9jr2TvZj9nr2k/au9sn25vcE9yP3Q/dj94T3pffG9+b4B/gn+Eb4ZPiB+Jz4t/jQ+Of4/fkR+ST5NPlD+VD5W/lk+Wz5cvl2+Xn5evl6+Xn5d/l0+XD5a/lm+WD5WvlU+U75SPlD+T35OPkz+S/5K/ko+Sb5JPkj+SP5I/kk+SX5J/kq+S35MPk0+Tj5PPlB+UX5SvlP+VP5WPlc+WD5ZPln+Wr5bflv+XH5c/l1+Xb5dvl3+Xf5d/l3+Xf5d/l2+Xb5dvl2+Xb5dvl2+Xf5d/l4+Xr5fPl9+YD5gvmF+Yn5jPmQ+ZT5mPmc+aH5pfmq+a75s/m3+bv5wPnD+cf5yvnO+dD50/nV+df52PnZ+dr52vna+dn52fnY+df51fnU+dL50PnO+cz5yvnJ+cf5xfnE+cP5wvnB+cH5wPnB+cH5wvnD+cT5xvnH+cn5zPnO+dH50/nW+dn52/ne+eH54/nm+dD50PnQ+dD50PnQ+c/5z/nO+cz5y/nJ+cf5xvnD+cH5v/m9+bv5ufm3+bT5svmx+a/5rvmt+az5rPms+az5rfmu+a/5sfmz+bb5ufm8+cD5xPnI+c350vnX+dz54vnn+e358vn4+f36A/oI+g36EvoW+hv6H/oi+ib6Kfor+i76L/ox+jL6M/oz+jT6NPoz+jP6M/oy+jH6MPow+i/6L/ou+i76Lvov+i/6MPoy+jP6Nfo4+jv6PvpC+kb6S/pQ+lb6XPpi+mj6b/p2+n76hfqN+pX6nfql+q36tfq9+sX6zfrV+t365Prs+vP6+vsA+wf7DfsU+xn7H/sl+yr7L/s0+zn7PftC+0b7S/tP+1P7V/tb+1/7Y/tn+2v7b/tz+3f7e/t++4L7hvuJ+437kPuU+5f7mvud+6D7ovuk+6b7qfuq+6z7rfuu+677r/uv+6/7rvuu+637q/uq+6j7pvuk+6H7n/uc+5n7lvuT+4/7jPuI+4X7gft++3r7d/tz+3D7bPtp+2X7Yvtf+1z7WftW+1P7UftO+0z7SftH+0X7Q/tB+z/7Pvs8+zr7Ofs4+zb7Nfs0+zL7Mfsw+y/7Lvst+yz7K/sq+yn7KPsn+yb7JPsk+yL7Ifsg+x/7Hvsd+xv7GvsZ+xj7FvsV+xP7EvsQ+w/7DfsL+wr7CPsG+wT7AvsA+v76+/r5+vf69fry+u/67frq+uf65fri+t762/rY+tX60frO+sr6xvrC+r76uvq1+rH6rPqo+qP6nvqY+pP6jvqI+oL6fPp1+m/6aPpi+lv6VPpM+kX6Pfo1+i36Jfod+hX6DPoD+fv58vnp+d/51vnN+cT5uvmx+af5nvmV+Yv5gfl4+W75ZPlb+VH5SPk++TT5K/kh+Rf5DvkE+Pr48fjn+N741PjK+MH4t/it+KT4mviR+If4ffh0+Gr4YfhX+E74Rfg7+DL4Kfgg+Bf4DvgF9/339Pfs9+T32/fT98z3xPe897X3rfem95/3mPeR94r3hPd993b3cPdp92P3XPdW90/3SPdC9zv3NPct9yb3H/cX9xD3CfcB9vn28fbp9uD22PbP9sf2vva19qz2ovaZ9pD2hvZ99nP2afZg9lb2TPZC9jn2L/Yl9hv2EfYI9f719PXq9eH11/XN9cP1uvWw9ab1nPWS9Yj1fvV09Wr1YPVV9Uv1QfU29Sv1IPUV9Qr0//T09Oj03fTR9Mb0uvSu9KL0lvSK9H70cvRm9Fn0TfRB9DX0KfQd9BH0BvP68+7z4/PY88zzwfO386zzofOX843zg/N583DzZ/Nd81XzTPNE8zvzM/Mr8yTzHPMV8w7zB/MB8vvy9fLv8uny5PLe8tny1PLQ8svyx/LD8r/yu/K48rXysfKu8qzyqfKm8qTyovKg8p7ynPKa8pjylvKU8pPykfKP8o3yi/KJ8ofyhfKC8oDyffJ68nfydPJx8m7yavJm8mLyXvJa8lXyUPJM8kfyQvI98jjyM/Iu8inyJfIg8hvyF/IT8g/yC/IH8gTyAfH+8fvx+fH38fXx9PHz8fLx8fHx8fDx8PHw8fDx8PHw8fHx8fHx8fHx8PHw8e/x7vHt8evx6fHn8eTx4fHe8drx1vHS8c3xyPHD8b3xuPGy8avxpfGf8ZjxkvGM8YXxf/F58XTxbvFp8WXxYPFd8VnxVvFT8VHxUPFP8U7xTvFO8U/xUPFS8VTxVvFZ8VzxX/Fj8Wbxa/Fv8XPxePF98YLxh/GM8ZLxmPGd8aPxqfGw8bbxvfHE8czx1PHc8eTx7fH38gDyCvIV8iDyLPI38kTyUPJd8mryePKG8pTyovKw8r7yzPLa8ufy9fMB8w7zGfMk8y/zOPNB80jzT/NU81nzXPNf82DzYPNf81zzWfNU80/zSfNB8znzMfMn8x3zE/MI8v3y8vLn8tzy0fLG8rvysfKn8p7ylvKO8ofygPJ68nXycfJt8mryaPJm8mXyZPJk8mTyZPJl8mbyZvJn8mfyaPJo8mfyZvJl8mPyYPJd8ljyVPJO8kfyQPI48i/yJfIb8hDyBPH38erx3fHP8cDxsfGi8ZPxhPF08WXxVfFG8TfxKPEa8Qzw/vDx8OTw2PDM8MHwtvCs8KLwmfCQ8IjwgfB58HPwbPBm8GHwXPBX8FLwTvBK8EbwQ/BA8D3wOvA48DXwM/Ax8DDwLvAt8CzwLPAr8CvwK/As8C3wLvAv8DHwNPA28DnwPPBA8ETwSPBN8FHwV/Bc8GLwaPBu8HXwfPCD8IrwkfCZ8KDwqPCw8LfwwPDI8NDw2PDg8Onw8fD68QLxC/EU8R3xJvEw8TnxQ/FM8VbxYPFr8XXxgPGK8ZXxoPGr8bbxwfHM8dfx4vHt8ffyAvIM8hXyHvIn8i/yN/I+8kTySfJO8lLyVfJX8ljyWPJX8lbyVPJQ8kzyR/JC8jvyNPIt8iXyHfIU8gvyA/H68fHx6fHh8drx0/HN8cjxxPHB8b/xvvG/8cDxw/HI8c3x1fHd8efx8vH/8gzyG/Iq8jvyTPJe8nHyhPKX8qvyvvLS8uTy9/MJ8xrzKvM580fzVPNg82rzc/N684DzhPOH84jzh/OG84LzfvN483HzafNh81fzTfND8zjzLfMi8xjzDfME8vvy8/Lr8uXy4PLd8tvy2vLb8t3y4fLn8u7y9/MC8w7zG/Mq8zvzTPNe83LzhvOb87Hzx/Pd8/P0CvQg9Db0S/Rg9HT0h/Sa9Kv0u/TK9Nj05fTx9Pv1BPUM9RP1GPUd9SD1I/Ul9Sb1JvUm9SX1JPUi9SH1H/Ue9R31HPUb9Rv1G/Uc9R71IPUi9Sb1KvUv9TX1O/VC9Ur1UvVa9WP1bPV29YD1ivWT9Z31pvWv9bj1wPXH9c711PXZ9d314PXj9eT15PXj9eH13vXZ9dP1zfXF9b31s/Wo9Z31kfWE9Xf1afVb9Uz1PfUv9SD1EfUC9PT05vTY9Mv0vvSz9Kf0nfSU9Iv0hPR99Hj0c/Rw9G70bPRs9G70cPRz9Hj0ffSE9Iz0lPSe9Kn0tPTB9M703fTs9Pz1DPUd9S/1QvVV9Wn1ffWR9ab1vPXR9ef1/fYT9in2P/ZV9mv2gPaV9qr2v/bS9ub2+PcK9xz3LPc790n3V/dj9273ePeB94j3j/eU95f3mveb95v3mveY95X3kfeL94X3fvd29273Zfdb91H3R/c89zH3J/cc9xL3B/b99vT26vbi9tn20vbK9sT2vva49rP2r/ar9qj2pfai9qD2nvac9pv2mfaX9pb2k/aR9o/2jPaI9oX2gPZ79nb2cPZp9mL2WvZS9kn2QPY39i32I/YZ9g/2BvX89fP16vXi9dv11fXP9cv1yPXG9cb1x/XK9c711PXc9eb18vX/9g72H/Yy9kb2XPZz9oz2pvbC9t72+/ca9zj3V/d395f3tvfW9/X4FPgy+FD4bPiI+KP4vPjU+Ov5APkU+Sb5N/lG+VT5YPlr+XT5fPmD+Yj5jPmO+ZD5kfmR+ZD5j/mN+Yr5h/mE+YD5ffl5+Xb5cvlv+Wz5aflm+WT5Yvlh+WD5X/le+V75X/lf+WD5Yflj+WT5Zvlo+Wr5bPlu+XD5cvl0+Xb5ePl6+Xv5ffl++X/5gPmB+YH5gvmC+YP5g/mD+YP5g/mD+YP5gvmD+YP5g/mD+YP5hPmF+YX5hvmH+Yn5ivmM+Y75j/mR+ZT5lvmY+Zr5nfmf+aH5pPmm+aj5qvmt+a75sPmy+bP5tfm2+bf5uPm5+br5uvm6+bv5u/m7+bv5u/m7+bv5uvm6+br5uvm6+br5uvm6+bv5u/m8+b35vfm++b/5wPnB+cP5xPnF+cb5yPnJ+cr5y/nN+c75z/nP+X75fvl9+X35fPl8+Xv5evl5+Xj5d/l2+XX5dPlz+XL5cflw+W/5b/lu+W75bvlu+W75b/lw+XH5c/l0+Xb5ePl7+X75gfmE+Yj5jPmQ+ZT5mfme+aL5p/ms+bH5t/m8+cH5xvnK+c/51PnY+d354fnk+ej56/nu+fH59Pn2+ff5+fn6+fv5/Pn8+f35/fn9+f35/Pn8+fz5+/n7+fr5+vn6+fr5+vn6+fv5/Pn9+f76APoC+gT6B/oK+g76EfoV+hr6H/ok+in6L/o0+jv6QfpH+k76Vfpc+mP6avpx+nj6f/qG+o36lPqb+qH6qPqu+rT6uvrA+sb6zPrR+tb62/rg+uT66frt+vH69fr5+v37APsD+wf7CvsN+xD7E/sV+xj7Gvsd+x/7Ifsk+yb7KPsp+yv7Lfsu+y/7Mfsy+zP7M/s0+zT7Nfs1+zX7NPs0+zP7Mvsx+zD7L/st+yz7Kvso+yb7I/sh+x77HPsZ+xb7E/sQ+w37CvsH+wT7APr9+vr69/r0+vH67vrr+uj65fri+uD63frb+tn61vrU+tL60PrO+sz6y/rJ+sj6xvrF+sP6wvrB+sD6vvq9+rz6u/q6+rn6uPq3+rb6tfq0+rP6sfqw+q/6rvqs+qv6qvqo+qb6pfqj+qH6oPqe+pz6mvqY+pb6k/qR+o/6jPqK+of6hfqC+oD6ffp6+nf6dPpx+m76a/po+mX6Yvpe+lv6WPpU+lH6TfpJ+kb6Qvo++jr6Nvoy+i36Kfok+iD6G/oW+hH6DPoH+gL5/Pn3+fH56/nl+d/52PnS+cv5xfm++bf5r/mo+aH5mfmR+Yr5gvl6+XL5avlh+Vn5UflI+T/5N/ku+SX5HfkU+Qv5Avj5+PD45/je+NX4zPjD+Lr4sfio+J/4lviN+IT4e/hy+Gn4YPhX+E/4Rvg9+DT4K/gj+Br4EfgJ+AD3+Pfv9+f33/fX98/3x/e/97f3sPeo96H3mfeS94v3g/d893b3b/do92H3W/dU9073R/dB9zr3NPcu9yf3Ifca9xT3DfcH9wD2+vbz9uz25fbe9tf20PbJ9sH2ufay9qr2ovaa9pL2ivaB9nn2cPZn9l/2VvZN9kT2O/Yy9in2IPYW9g32BPX69fH16PXe9dX1zPXC9bn1r/Wm9Z31k/WK9YD1d/Vt9WT1WvVR9Uf1PfU09Sr1IPUW9Qz1AvT49O705PTa9ND0xfS79LH0pvSc9JL0h/R89HL0Z/Rd9FL0SPQ99DP0KPQe9BT0CvQA8/bz7PPi89jzz/PG87zzs/Oq86LzmfOR84jzgPN583HzavNi81vzVPNN80fzQfM68zTzL/Mp8yTzHvMZ8xTzD/ML8wbzAvL+8vry9vLy8u/y6/Lo8uTy4fLe8tvy2PLV8tPy0PLN8sryyPLF8sLywPK98rvyuPK18rLysPKt8qryp/Kk8qDynfKa8pfyk/KQ8ozyiPKE8oHyffJ58nXycfJt8mnyZfJh8l3yWfJW8lLyTvJL8kjyRPJB8j7yPPI58jfyNPIy8jHyL/It8izyK/Ip8ijyKPIn8ibyJfIl8iTyJPIj8iLyIfIh8iDyH/Id8hzyGvIY8hbyFPIR8g/yC/II8gXyAfH98fnx9PHv8evx5vHh8dvx1vHR8czxxvHB8bzxt/Gy8a3xqPGk8aDxnPGZ8Zbxk/GQ8Y7xjfGM8YvxivGK8YvxjPGN8Y/xkfGU8ZbxmvGe8aLxpvGr8bDxtvG78cHxyPHP8dbx3fHk8ezx8/H88gTyDPIV8h7yJ/Iw8jryQ/JN8lfyYfJr8nXyf/KJ8pTynvKo8rLyvfLH8tDy2vLk8u3y9vL+8wbzDvMW8x3zI/Mp8y/zM/M48zvzPvNB80LzQ/NE80TzQ/NB8z/zPfM68zbzMvMt8ynzJPMe8xjzEvMM8wbzAPL68vTy7vLo8uLy3PLX8tLyzfLJ8sXywfK+8rryt/K18rPysfKv8q7yrPKr8qryqfKo8qfypvKl8qTyovKh8p/ynfKb8pjylPKR8o3yiPKD8n7yePJy8mzyZPJd8lXyTfJE8jvyMvIo8h/yFfIK8gDx9vHr8eHx1vHM8cHxt/Gt8aPxmfGP8YbxffF08WvxYvFa8VLxSvFD8TvxNPEu8SfxIfEb8RXxEPEK8QXxAPD88Pfw8/Dv8Ovw6PDl8OLw3/Dc8Nrw2PDW8NXw0/DS8NLw0fDS8NLw0/DU8NXw1/DZ8Nzw3/Di8Obw6vDv8PPw+fD+8QTxC/ER8RjxIPEn8S/xN/FA8UnxUvFb8WTxbvF48YPxjfGY8aPxrvG58cTx0PHb8efx8/H/8gvyGPIk8jDyPPJI8lTyYPJs8njyhPKP8prypfKv8rnyw/LM8tTy3PLj8ury8PL18vny/fMA8wLzA/MD8wLzAfL+8vvy9vLy8uzy5fLe8tbyzfLE8rvysfKn8p3yk/KI8n7ydPJq8mHyWPJQ8knyQvI88jfyM/Ix8i/yL/Iv8jHyNfI58j/yRvJO8ljyYvJu8nryiPKW8qXytfLF8tXy5vL38wjzGfMq8zrzSvNZ82jzdfOC847zmPOh86rzsfO287vzvfO/87/zvvO887nztPOu86jzoPOY84/zhvN883LzaPNe81TzS/NB8znzMfMp8yPzHvMa8xfzFfMV8xbzGPMc8yHzKPMw8znzRPNQ813za/N784vznPOu88Hz1PPo8/z0D/Qj9Df0S/Re9HH0g/SV9Kb0tvTF9NT04fTt9Pj1AvUL9RP1GvUg9ST1KPUr9S31LvUv9S71LfUs9Sr1KPUm9SP1IfUe9Rz1GfUX9Rb1FPUT9RL1EvUS9RP1FPUW9Rj1G/Ue9SL1JvUr9S/1NPU69T/1RPVK9VD1VfVa9V/1ZPVo9Wz1b/Vy9XT1dvV39Xf1d/V29XT1cvVv9Wv1ZvVh9Vv1VfVO9Ub1PvU29S31JPUb9RH1CPT+9PT06/Ti9Nj00PTH9L/0uPSx9Kv0pfSg9Jz0mfSW9JX0lPSU9JX0l/Sa9J70o/Sp9LD0uPTA9Mr01fTg9O30+vUI9Rf1JvU29Uf1WPVq9X31j/Wj9bb1yvXe9fL2B/Yb9i/2Q/ZX9mv2f/aR9qT2tvbI9tn26fb49wf3Ffci9y73OfdD9033Vfdc92L3Z/dr9273cPdx93H3cPdu92v3aPdj9173WfdS90z3Rfc99zX3Lfcl9xz3FPcL9wP2+/bz9uv24/bb9tT2zvbH9sH2vPa29rH2rfao9qT2oPad9pn2lvaT9o/2jPaJ9ob2gvZ+9nr2dvZx9m32Z/Zi9lz2VfZO9kf2QPY49jD2KPYf9hf2DvYF9f319PXs9eT13fXW9dD1yvXF9cH1vvW89bz1vPW+9cD1xfXK9dH12vXk9e/1/PYK9hr2KvY89lD2ZfZ69pH2qPbB9tr28/cN9yj3Qvdd93j3k/et98f34ff6+BP4KvhB+Fj4bfiB+JT4pvi3+Mf41fjj+O/4+vkE+Qz5FPkb+SD5Jfkp+Sz5Lvkw+TH5Mfkx+TD5L/ku+S35K/kp+Sj5Jvkk+SL5Ifkf+R75Hfkc+Rz5G/kb+Rz5HPkd+R75H/kg+SL5I/kl+Sf5Kfkr+S75MPky+TX5N/k5+Tv5Pfk/+UH5Q/lF+Uf5SPlK+Uv5TPlN+U75T/lQ+VH5UflS+VP5U/lU+VT5VPlV+VX5VvlW+Vb5V/lX+Vj5WPlZ+Vn5Wvla+Vv5W/lc+V35Xfle+V/5X/lg+WH5Yfli+WP5Y/lk+WX5Zflm+Wf5Z/lo+Wn5avlq+Wv5bPlt+W35bvlv+XD5cfly+XP5c/l0+XX5dvl3+Xj5efl6+Xr5e/l8+X35ffl9+X75fvl++X75fvl++On46Pjo+Of45/jm+Ob45fjl+OX45fjl+OX45fjl+OX45vjn+Oj46fjq+Oz47vjw+PL49fj4+Pv4/vkC+Qb5CvkO+RP5GPkd+SL5KPkt+TP5Ofk/+UX5S/lR+Vf5Xflj+Wn5b/l1+Xr5gPmF+Yr5jvmT+Zf5m/mf+aL5pfmo+ar5rfmv+bD5svmz+bT5tfm1+bb5tvm2+bb5tvm2+bb5tvm2+bb5tvm3+bf5t/m4+bn5uvm7+b35v/nB+cP5xvnJ+cz5z/nT+df52/ng+eT56fnv+fT5+fn/+gX6C/oR+hf6Hfoj+ir6MPo2+jz6QvpI+k76VPpa+l/6Zfpq+m/6dPp5+n36gvqG+or6jfqR+pT6l/qa+p36n/qh+qP6pfqn+qj6qfqq+qv6rPqs+qz6rPqs+qz6rPqr+qr6qvqo+qf6pvql+qP6ovqg+p76nPqa+pj6lfqT+pH6jvqM+on6h/qE+oH6f/p8+nr6d/p0+nL6b/pt+mr6aPpm+mT6Yfpg+l36XPpa+lj6V/pV+lT6U/pR+lD6T/pP+k76TfpM+kz6S/pL+kr6SvpK+kn6SfpJ+kn6SPpI+kj6R/pH+kb6RvpF+kT6Q/pD+kL6QPo/+j76PPo7+jn6N/o1+jP6MPou+iv6Kfom+iP6IPoc+hn6FvoS+g76C/oH+gP5//n7+ff58vnu+er55fnh+dz52PnT+c/5yvnG+cH5vfm4+bT5r/mr+ab5ofmd+Zj5lPmP+Yv5hvmC+X35efl0+XD5a/lm+WL5XflY+VT5T/lK+UX5QPk7+Tb5MPkr+Sb5IPkb+RX5EPkK+QT4/vj4+PL47Pjm+OD42fjT+M34xvi/+Ln4svir+KX4nviX+JD4ifiC+Hv4c/hs+GX4XvhX+E/4SPhB+Dn4Mvgr+CP4HPgU+A34Bvf+9/f37/fo9+D32ffS98r3w/e797T3rfel9573l/eQ94j3gfd693P3bPdl9173V/dQ90n3Qvc79zX3Lvcn9yD3GfcT9wz3Bfb+9vj28fbq9uP23PbV9s/2yPbB9rn2svar9qT2nfaV9o72hvZ/9nf2b/Zn9l/2V/ZP9kf2P/Y29i72JfYd9hT2DPYD9fr18fXp9eD11/XO9cX1vPWz9ar1ofWY9Y/1hvV99XT1a/Vi9Vn1UPVH9T71NfUs9SP1GvUR9Qj0//T39O705fTc9NP0y/TC9Ln0sPSn9J/0lvSN9IT0fPRz9Gv0YvRZ9FH0SPRA9Dj0L/Qn9B/0F/QP9Afz//P38/Dz6PPh89nz0vPL88TzvfO286/zqfOi85zzlvOQ84rzhfN/83nzdPNv82rzZPNg81vzVvNS803zSfNE80DzPPM48zTzMPMs8yjzJfMh8x3zGvMW8xPzD/MM8wjzBfMC8v7y+/L38vTy8fLt8ury5vLj8uDy3PLZ8tXy0vLO8svyx/LE8sDyvfK58rbysvKv8qvyqPKl8qHynvKb8pfylPKR8o7yi/KI8oXyg/KA8n7ye/J58nfydfJz8nHyb/Jt8mzyavJp8mjyZ/Jl8mTyY/Ji8mHyYfJg8l/yXvJd8lzyW/Ja8lnyV/JW8lXyU/JR8lDyTvJL8knyR/JE8kHyPvI78jjyNfIx8i7yKvIm8iPyH/Ib8hfyE/IP8gvyB/IE8gDx/PH58fbx8vHv8e3x6vHo8ebx5PHj8eHx4PHg8d/x3/Hg8eDx4fHi8eTx5vHo8erx7fHw8fPx9/H78f/yA/II8g3yEvIX8hzyIvIn8i3yM/I58j/yRvJM8lPyWfJg8mfybfJ08nvygvKJ8pDylvKd8qTyq/Kx8rfyvvLE8sry0PLW8tzy4vLn8uzy8fL18vry/vMC8wXzCPML8w7zEPMS8xTzFfMW8xfzGPMY8xfzF/MW8xXzFPMS8xDzDvMM8wnzB/ME8wHy/vL78vjy9fLx8u7y6/Ln8uTy4PLd8tny1vLT8tDyzfLJ8sbyw/LA8r7yu/K48rXysvKv8q3yqvKn8qTyovKf8pzymfKW8pPykPKN8oryh/KE8oHyffJ68nfyc/Jw8mzyafJl8mHyXvJa8lbyU/JP8kvyR/JE8kDyPPI58jXyMfIu8iryJvIi8h/yG/IX8hPyD/IM8gjyA/H/8fvx9/Hz8e/x6vHm8eHx3fHY8dTxz/HK8cXxwfG88bfxsvGu8anxpfGh8ZzxmPGU8ZHxjfGK8YfxhfGC8YDxf/F+8X3xffF98X3xfvGA8YLxhPGI8Yvxj/GU8Znxn/Gl8avxs/G78cPxy/HV8d7x6PHz8f7yCfIV8iHyLfI68kbyU/Jh8m7yfPKJ8pfypfKy8sDyzvLb8ujy9fMC8w7zG/Mm8zLzPfNH81HzWvNj82rzcvN4837zg/OH84vzjfOP85DzkPOP843zi/OI84Pzf/N583PzbPNk81zzU/NK80HzN/Mt8yPzGfMP8wXy+/Lx8ujy3/LW8s7yx/LB8rvytvKy8q/yrfKs8qzyrfKv8rLyt/K88sLyyvLS8tvy5fLw8vzzCPMV8yLzMPM+803zW/Np83jzhvOU86HzrvO688bz0fPb8+Tz7PPz8/nz/vQC9AX0B/QH9Af0BfQC8/7z+vP08+7z5/Pf89bzzfPE87vzsfOn857zlPOL84LzevNy82rzZPNe81rzVvNT81LzUfNS81TzVvNb82DzZvNu83fzgPOL85fzo/Ox877zzfPc8+zz/PQM9Bz0LfQ99E30XfRt9Hz0i/SZ9Kf0tPTA9Mz01vTg9On08fT49P/1BPUI9Qz1D/UR9RL1E/UT9RL1EPUP9Qz1CfUG9QP0//T79Pf08/Tv9Ov05/Tk9OD03PTZ9Nb01PTR9M/0zfTM9Mv0yvTJ9Mn0yfTJ9Mn0yvTL9Mz0zfTO9M/00PTR9NP01PTV9Nb01/TX9Nj02PTY9Nj02PTY9Nf01vTV9NT00/TR9ND0zvTN9Mv0yfTH9MX0xPTC9MD0v/S+9L30vfS89Lz0vfS+9L/0wPTD9MX0yPTM9ND01fTb9OH05/Tu9Pb0//UI9RH1G/Um9TH1PfVJ9Vb1Y/Vx9X/1jvWd9az1u/XK9dr16vX69gr2GvYq9jr2SfZZ9mj2d/aG9pT2ovav9rz2yPbU9t/26fbz9vz3BPcM9xP3Gfce9yP3J/cq9yz3Lvcu9y/3Lvct9yv3Kfcm9yP3H/cb9xb3EfcM9wb3APb69vT27vbn9uH22/bU9s72yPbC9rz2tvax9qv2pvah9pv2l/aS9o32iPaE9n/2e/Z29nH2bfZo9mP2XvZZ9lT2T/ZJ9kP2PfY39jH2KvYj9hz2FfYN9gb1//X39e/16PXg9dn10vXL9cT1vvW49bL1rvWp9ab1o/Wh9Z/1n/Wf9aH1o/Wm9av1sPW39b71x/XQ9dv15vXz9gH2D/Ye9i72P/ZQ9mL2dfaI9pv2r/bD9tf26/b/9xT3J/c790/3Yvd094f3mPep97n3yffY9+b39PgA+Az4F/gi+Cv4NPg8+EP4SvhQ+FX4Wvhe+GH4ZPhn+Gn4a/ht+G74b/hw+HH4cvhy+HP4dPh0+HX4dvh3+Hn4evh8+H74gPiC+IT4h/iK+I34kPiU+Jf4m/if+KP4p/ir+K/4s/i3+Lv4v/jD+Mf4y/jP+NP41vja+N344Pjj+OX46Pjq+Oz47vjw+PH48/j0+PX49vj2+Pf49/j3+Pf49/j3+Pf49vj2+PX49Pj0+PP48vjx+PD48Pjv+O747fjs+Oz46/jq+On46fjo+Oj45/jn+Of45/jm+Ob45vjm+Ob45vjn+Of45/jn+Of46Pjo+Oj46fjp+On46vjq+Or46vjq+Ov46/jr+Ov46/jr+Or46vjq+Or46fjp+FH4UPhQ+FD4UPhQ+FD4UPhQ+FH4UfhS+FP4VfhW+Fj4Wvhc+F/4Yvhk+Gj4a/hv+HP4d/h8+IH4hviL+JH4lvic+KP4qfiw+Lb4vfjE+Mv40vjZ+OH46Pjv+Pb4/fkE+Qv5EfkY+R/5Jfkr+TD5Nvk7+UD5RflJ+U35UflV+Vj5W/le+WD5Yvlk+Wb5Z/lo+Wn5avlr+Wv5a/lr+Wz5bPlr+Wv5a/lr+Wv5a/lr+Wz5bPlt+W35bvlv+XD5cvl0+Xb5ePl6+X35gPmD+Yb5ivmO+ZH5lvma+Z/5pPmo+a75s/m4+b35w/nI+c750/nZ+d/55Pnp+e/59Pn5+f76A/oI+gz6EPoU+hj6HPof+iL6Jfoo+ir6LPou+jD6Mfoy+jL6M/oz+jP6Mvoy+jH6L/ou+iz6Kvoo+ib6JPoh+h76G/oY+hX6EvoO+gv6B/oE+gD5/Pn5+fX58vnu+ev55/nk+eD53fna+df51fnS+dD5zfnL+cn5x/nG+cX5w/nC+cH5wfnA+cD5wPnA+cD5wPnA+cH5wvnC+cP5xPnF+cb5x/nJ+cr5y/nM+c35zvnP+dD50fnS+dL50/nT+dP50/nT+dP50vnR+dD5z/nN+cz5yvnI+cX5wvnA+bz5ufm1+bL5rvmp+aX5oPmb+Zb5kfmL+Yb5gPl6+XT5bvlo+WL5XPlV+U/5SPlC+Tv5Nfku+Sj5Ifkb+RX5DvkI+QL4/Pj2+PD46vjk+N742fjT+M74yPjD+L74ufi0+K/4qvil+KH4nPiY+JP4j/iL+Ib4gvh++Hr4dfhx+G34afhl+GH4XPhY+FT4UPhM+Ej4Q/g/+Dv4Nvgy+C34Kfgk+CD4G/gX+BL4DfgI+AT3//f69/X38Pfr9+b34Pfb99b30ffL98b3wfe797b3sPer96X3n/ea95T3jveI94L3fPd393H3a/dl91/3WPdS90z3RvdA9zr3NPct9yf3Ifca9xT3DfcH9wH2+vb09u325vbg9tn20vbL9sX2vva39rD2qfai9pv2k/aM9oX2ffZ29m72Z/Zf9lf2UPZI9kD2OPYw9ij2IPYX9g/2B/X+9fb17fXl9dz10/XL9cL1ufWw9aj1n/WW9Y31hfV89XP1avVh9Vj1UPVH9T71NvUt9ST1HPUT9Qv1AvT69PL06fTh9Nn00fTJ9MH0ufSx9Kn0ofSa9JL0i/SD9Hz0dPRt9Gb0X/RY9FD0SvRD9Dz0NfQv9Cj0IfQb9BX0D/QI9ALz/PP28/Hz6/Pl8+Dz2vPV89DzyvPF88Dzu/O387LzrfOp86TzoPOb85fzk/OP84rzh/OC83/ze/N383PzcPNs82jzZfNh817zWvNX81PzUPNM80nzRvNC8z/zO/M48zTzMfMu8yrzJ/Mj8yDzHPMZ8xbzEvMP8wvzCPME8wHy/fL68vby8/Lw8uzy6fLm8uLy3/Lc8tny1vLS8tDyzfLK8sfyxPLC8r/yvPK68rjytfKz8rHyr/Kt8qvyqfKo8qbypPKj8qLyoPKf8p7ynPKb8prymfKY8pfylfKU8pPykvKR8pDyj/KO8ozyi/KK8ojyh/KF8oTygvKA8n7yffJ78nnyd/J08nLycPJu8mvyafJm8mTyYfJf8lzyWvJX8lXyUvJQ8k7yS/JJ8kfyRfJD8kHyQPI+8j3yPPI68jryOfI48jjyN/I38jfyOPI48jnyOfI68jvyPfI+8kDyQfJD8kXyR/JK8kzyTvJR8lTyV/Ja8l3yYPJj8mbyavJt8nHydPJ48nzygPKD8ofyi/KP8pPymPKc8qDypPKp8q3ysfK28rryvvLD8sfyzPLQ8tXy2fLd8uLy5vLq8u/y8/L38vvy/vMC8wbzCfMM8w/zEvMV8xjzGvMd8x/zIPMi8yPzJPMl8ybzJvMm8ybzJvMl8yTzI/Mi8yDzHvMc8xrzF/MV8xLzD/ML8wjzBPMB8v3y+fL18vHy7fLp8uTy4PLc8tfy0/LP8svyx/LD8r/yu/K38rTysPKt8qryp/Kk8qLyoPKd8pvymvKY8pfylfKV8pTyk/KT8pPyk/KT8pPyk/KU8pTylfKV8pbyl/KY8pjymfKa8prym/Kb8pvym/Kb8pvymvKZ8pjyl/KV8pPykfKP8ozyifKG8oLyf/J68nbycvJt8mjyY/Jd8ljyUvJN8kfyQfI78jbyMPIq8iXyIPIb8hbyEfIN8gryBvID8gDx/vH88fvx+/H78fvx/PH+8gHyBPIH8gzyEfIW8hzyI/Ir8jPyPPJF8k/yWfJk8m/ye/KH8pTyofKu8rzyyfLX8uXy9PMC8xDzHvMs8zrzR/NV82Lzb/N784fzkvOe86jzsvO788Pzy/PS89nz3vPj8+fz6/Pt8+/z8PPw8+/z7vPs8+nz5fPh89zz1vPQ88rzw/O787Pzq/Oj85vzkvOK84HzefNx82nzYfNa81PzTfNH80LzPfM58zbzNPMy8zHzMfMy8zTzN/M68z7zRPNK81DzWPNg82nzcvN884bzkfOc86jzs/O/88vz1/Pj8+7z+fQE9A/0GfQi9Cv0M/Q79EL0SPRN9FH0VPRW9Fj0WPRY9Fb0VPRR9E30SPRD9D30NvQv9Cf0HvQW9A30BPP68/Hz6PPe89bzzfPF873ztfOv86nzo/Of85vzmPOW85TzlPOU85bzmfOc86DzpvOs87PzuvPD88zz1vPh8+zz9/QD9A/0HPQp9Db0QvRP9Fz0afR19IH0jfSY9KP0rfS39MD0yPTQ9Nf03vTj9Oj07PTw9PL09PT19Pb09vT19PP08fTu9Ov05/Tj9N702fTU9M70yfTD9L30tvSw9Kr0o/Sd9Jf0kfSL9IX0gPR69HX0cfRs9Gj0ZPRg9F30WvRX9FX0U/RR9FD0T/RP9E70TvRO9E/0UPRR9FL0U/RV9Ff0WfRc9F/0YfRl9Gj0a/Rv9HP0d/R79ID0hPSJ9I70k/SY9J70pPSq9LD0tvS99MT0y/TS9Nr04vTq9PL0+vUD9Qz1FvUf9Sn1M/U99Uj1U/Ve9Wn1dPWA9Yv1l/Wj9a/1vPXI9dX14fXu9fr2B/YT9h/2LPY49kT2UPZb9mf2cvZ99of2kvac9qX2r/a39sD2yPbP9tb23Pbi9uj27fbx9vX2+fb89v73APcC9wL3A/cD9wL3AvcA9v72/Pb69vf29Pbx9u326fbl9uD23PbX9tL2zfbI9sL2vfa39rL2rPam9qD2mvaU9o72iPaC9nz2dfZv9mn2YvZc9lX2TvZH9kD2OfYy9iv2JPYc9hX2DfYG9f719/Xv9ef13/XY9dD1yPXB9br1s/Ws9aX1nvWY9ZP1jfWI9YT1gPV89Xn1d/V19XT1dPV09XX1d/V59Xz1gPWF9Yv1kfWY9Z/1qPWx9bv1xvXR9dz16fX19gL2EPYe9iz2O/ZK9ln2aPZ39ob2lfak9rP2wvbR9t/27fb79wj3Ffch9y33OfdE90/3Wfdi92v3dPd894T3i/eS95j3nvej96n3rfey97b3uve+98H3xPfI98v3zvfR99T31/fa99334Pfj9+b36vft9/H39ff59/34AfgG+Ar4D/gU+Bn4Hvgj+Cn4Lvgz+Dn4P/hE+Er4T/hV+Fr4X/hk+Gr4bvhz+Hj4fPiB+IT4iPiM+I/4kviV+Jj4mvic+J74n/ig+KL4ovij+KP4o/ij+KP4ovii+KH4oPie+J34nPia+Jj4lviV+JP4kfiP+I34i/iJ+If4hfiD+IH4f/h9+Hv4efh3+HX4dPhy+HD4b/ht+Gz4avhp+Gj4Zvhl+GT4Y/hh+GD4X/he+F34XPhb+Fr4WfhY+Ff4VvhV+FX4VPhT+FL4UvhR9/b39vf29/b39vf29/f3+Pf59/r3+/f99//4AfgD+Ab4CfgM+A/4E/gX+Bv4H/gk+Cn4Lvgz+Dn4PvhE+Er4UfhX+F74Zfhr+HP4eviB+Ij4j/iW+J34pfis+LP4uvjB+Mf4zvjU+Nv44fjn+Oz48fj3+Pz5APkF+Qn5DPkQ+RP5FvkZ+Rv5Hvkg+SH5I/kk+SX5Jvkm+Sf5J/kn+Sf5J/kn+Sf5J/km+Sb5Jvkm+Sb5Jvkm+Sb5Jvkn+Sf5KPkp+Sr5K/kt+S/5Mfkz+TX5OPk7+T75QflE+Uj5TPlQ+VT5WPld+WL5Zvlr+XD5dfl6+X/5hPmJ+Y75k/mX+Zz5oPml+an5rfmx+bX5ufm8+b/5wvnE+cf5yfnK+cz5zfnO+c75z/nP+c75zvnN+cv5yvnI+cb5xPnB+b/5vPm4+bX5svmu+ar5pvmi+Z75mvmW+ZL5jvmJ+YX5gfl9+Xn5dfly+W75avln+WT5Yfle+Vz5WflX+VX5U/lR+VD5T/lO+U35TflM+Uz5TPlN+U35TvlP+VD5UflS+VP5VPlW+Vf5Wfla+Vz5Xflf+WD5Yflj+WT5Zfll+Wb5Z/ln+Wf5Z/ln+Wb5Zvll+WP5Yvlg+V75XPlZ+Vb5U/lP+Uz5SPlD+T/5Ovk1+TD5Kvkl+R/5GfkS+Qz5Bfj/+Pj48fjp+OL42/jU+Mz4xfi9+Lb4r/in+KD4mfiR+Ir4g/h8+HX4bvho+GH4W/hU+E74SPhC+Dz4N/gx+Cz4J/gi+B34GPgT+A/4CvgG+AL3/vf69/b38vfu9+v35/fk9+D33ffa99b30/fQ98z3yffG98P3wPe897n3tvez97D3rPep96b3ovef95v3mPeU95H3jfeJ94b3gvd+93r3dvdy9273avdm92H3XfdZ91X3UPdM90f3Q/c+9zn3Nfcw9yv3J/ci9x33GPcT9w73CfcE9v/2+fb09u/26vbk9t/22fbU9s72yPbD9r32t/ax9qv2pfaf9pn2k/aN9ob2gPZ59nP2bPZl9l72WPZR9kr2Q/Y79jT2LfYl9h72FvYP9gf1//X49fD16PXg9dj1z/XH9b/1t/Wu9ab1nvWV9Y31hfV89XT1a/Vj9Vv1UvVK9UH1OfUx9Sj1IPUY9RD1CPUA9Pj08PTo9OD02PTQ9Mn0wfS69LL0q/Sk9J30lvSP9Ij0gfR69HT0bfRn9GD0WvRU9E70SPRC9Dz0NvQx9Cv0JvQg9Bv0FvQR9Az0B/QC8/3z+PP08+/z6/Pm8+Lz3vPa89Xz0fPN88rzxvPC877zuvO387PzsPOs86nzpfOi85/zm/OY85XzkvOP84vziPOF84Lzf/N883nzdvNz83DzbfNq82fzZPNh817zW/NY81XzUvNP80zzSfNG80PzQPM98zrzN/M08zHzLvMr8yjzJfMi8x/zHPMZ8xfzFPMR8w/zDPMJ8wfzBPMC8v/y/fL68vjy9vLz8vHy7/Lt8uvy6fLn8uXy4/Li8uDy3vLc8tvy2fLY8tby1fLT8tLy0PLP8s7yzPLL8sryyPLH8sbyxfLD8sLywfLA8r7yvfK88rvyufK48rfytfK08rPysvKw8q/yrvKs8qvyqvKp8qjyp/Kl8qTyo/Ki8qHyoPKf8p/ynvKd8pzynPKb8pvymvKa8prymvKZ8pnymfKZ8prymvKa8pvym/Kb8pzynPKd8p7ynvKf8qDyofKi8qPypPKl8qbyp/Ko8qnyq/Ks8q3yr/Kw8rLys/K18rbyuPK68rvyvfK/8sHyw/LF8sjyyvLN8s/y0vLU8tfy2vLd8uDy5PLn8uvy7vLy8vby+vL+8wLzBvMK8w/zE/MY8xzzIPMl8ynzLvMy8zfzO/M/80PzR/NL80/zU/NW81rzXfNg82LzZfNn82nzavNs823zbvNu82/zb/Nu827zbfNr82rzaPNm82TzYfNe81vzWPNU81HzTfNJ80TzQPM88zfzM/Mu8yrzJfMg8xzzGPMT8w/zC/MH8wPzAPL88vny9vLz8vHy7/Lt8uvy6fLo8ufy5/Lm8uby5vLm8ufy5/Lo8uny6vLr8u3y7vLw8vLy8/L18vby+PL58vvy/PL98v7y//L/8wDzAPMA8v/y/vL98vzy+vL48vby8/Lw8u3y6vLm8uLy3fLZ8tTyz/LK8sTyv/K58rPyrvKo8qLynPKX8pHyjPKH8oLyffJ58nXycfJu8mvyaPJm8mXyZPJk8mTyZfJm8mjya/Ju8nLyd/J88oLyiPKP8pbynvKn8rDyuvLE8s/y2vLm8vHy/fMK8xbzI/Mw8z3zSvNX82TzcfN+84rzl/Oj86/zuvPF89Dz2vPk8+3z9fP99AX0DPQS9Bf0HPQg9CT0J/Qp9Cr0K/Qr9Cv0KvQo9Cb0I/Qg9Bz0GPQU9A/0CvQF8//z+fPz8+3z6PPi89zz1vPR88zzx/PD877zu/O487XzsvOx86/zr/Ov86/zsfOy87XzuPO888DzxfPK89Dz1vPd8+Tz7PP08/z0BfQN9Bb0H/Qo9DD0OfRC9Er0UvRa9GL0afRw9Hb0fPSB9IX0ifSN9I/0kfSS9JP0k/SS9JH0jvSM9Ij0hPSA9Hv0dfRv9Gn0YvRb9FT0TPRF9D30NfQu9Cb0H/QY9BH0CvQE8/7z+fP08/Dz7fPq8+fz5vPl8+Tz5fPm8+jz6vPu8/Lz9vP79AH0CPQP9Bb0HvQm9C/0OPRB9Ev0VPRe9Gj0cvR79IX0j/SY9KH0qvSy9Lr0wvTJ9ND01vTb9OD05fTo9Oz07vTw9PH08vTy9PH08PTu9Oz06fTl9OH03fTY9NP0zfTH9MD0uvSz9Kz0pfSd9Jb0jvSH9ID0ePRx9Gr0Y/Rc9Fb0UPRK9ET0P/Q69DX0MfQu9Cr0J/Ql9CP0IfQg9CD0H/Qg9CH0IvQk9Cb0KPQr9C/0MvQ39Dv0QPRG9Ez0UvRY9F/0ZvRt9HX0ffSF9I30lvSf9Kj0sfS79MT0zvTY9OL07PT29QH1C/UW9SH1K/U29UH1TPVX9WL1bfV49YP1jvWZ9aT1r/W69cb10PXb9eb18fX89gb2EfYb9iX2MPY69kP2TfZX9mD2afZy9nr2g/aL9pP2mvai9qn2sPa29rz2wvbI9s320vbW9tr23vbh9uT25/bp9uv27Pbu9u727/bv9u/27vbt9uz26vbo9ub24/bg9t322fbV9tH2zfbI9sP2vva59rP2rfan9qH2mvaT9o32hvZ+9nf2b/Zn9l/2V/ZP9kf2P/Y29i72JfYd9hT2C/YD9fr18vXp9eH12PXQ9cj1wPW49bH1qfWi9Zz1lfWP9Yn1hPV/9Xr1dvVy9W/1bPVq9Wn1Z/Vn9Wf1aPVp9Wv1bfVx9XT1efV+9YP1ifWQ9Zf1n/Wn9bD1uvXE9c712PXj9e/1+vYG9hL2HvYr9jj2RPZR9l72a/Z39oT2kPad9qn2tfbB9sz22Pbj9u72+PcC9wz3Ffce9yf3L/c39z/3R/dO91T3Wvdh92b3bPdx93b3e/eA94T3iPeM95H3lPeY95z3oPek96f3q/ev97P3t/e79773w/fH98v3z/fU99j33ffi9+b36/fw9/X3+vf/+AT4CfgP+BT4Gfge+CP4KPgt+DL4Nvg7+D/4RPhI+Ez4UPhT+Ff4Wvhd+GD4Yvhk+Gb4aPhq+Gv4bPht+G74bvhu+G74bvhu+G34bPhr+Gr4aPhn+GX4Y/hh+F/4Xfhb+Fj4VvhT+FH4TvhL+Ej4RvhD+ED4Pfg6+Dj4Nfgy+C/4LPgq+Cf4JPgi+B/4Hfga+Bj4FfgT+BH4DvgM+Ar4CPgG+AT4A/gB9//3/vf99/v3+vf59/j39/f397/3v/fA98D3wffC98P3xPfG98f3yffL98330PfT99X32Pfc99/34/fm9+v37/fz9/j3/PgB+Ab4DPgR+Bb4HPgh+Cf4Lfgz+Dn4P/hE+Er4UPhW+Fz4Yvho+G34c/h5+H74g/iI+I34kviX+Jv4n/ik+Kf4q/iu+LL4tfi4+Lr4vfi/+MH4w/jE+Mb4x/jI+Mn4yvjL+Mv4zPjM+Mz4zPjM+M34zfjN+M34zfjN+M34zfjO+M74z/jP+ND40fjS+NP41fjW+Nj42vjc+N744Pjj+Ob46fjs+PD48/j3+Pr4/vkC+Qf5C/kP+RP5GPkc+SH5Jvkq+S/5M/k4+Tz5QPlE+Un5TPlQ+VT5V/lb+V75Yflj+WX5aPlq+Wv5bflu+W75b/lv+W/5b/lu+W75bflr+Wr5aPlm+WT5Yflf+Vz5WflW+VL5T/lL+Uj5RPlA+Tz5Ofk0+TH5Lfkp+SX5Ifkd+Rr5FvkT+RD5DPkJ+Qb5BPkB+P/4/Pj6+Pj49/j1+PT48vjx+PD48Pjv+O/47vju+O747vju+O747vjv+O/48Pjw+PD48fjx+PH48vjy+PL48vjy+PL48vjx+PD48Pjv+O747Pjr+On45/jl+OP44Pjd+Nr41/jU+ND4zPjI+MT4v/i7+Lb4sfis+Kb4ofib+Jb4kPiK+IT4ffh3+HH4a/hk+F74WPhR+Ev4RPg++Dj4Mfgr+CX4H/gZ+BP4DfgI+AL3/ff39/L37ffo9+P33vfa99X30ffM98j3xPfA97z3ufe197H3rver96f3pPeh9533mveX95T3kfeO94v3ifeG94P3gPd993r3d/d093H3bvdr92j3Zfdh9173W/dX91T3UPdN90n3RvdC9z73O/c39zP3L/cr9yf3I/cf9xv3F/cT9w73CvcG9wH2/fb59vT28Pbr9uf24vbd9tn21PbQ9sv2xvbB9r32uPaz9q72qfal9qD2m/aW9pH2jPaH9oH2fPZ39nL2bfZn9mL2XPZX9lH2TPZG9kD2OvY09i72KfYi9hz2FvYQ9gn2A/X89fb17/Xp9eL12/XU9c31xvW/9bj1sfWq9aP1m/WU9Y31hfV+9Xb1b/Vn9WD1WfVR9Ur1QvU79TP1LPUk9R31FvUP9Qf1APT59PL06/Tk9N301vTP9Mj0wvS79LT0rvSn9KH0m/SV9I/0ifSD9H30d/Ry9Gz0Z/Rh9Fz0V/RR9E30SPRD9D70OfQ09DD0K/Qn9CL0HvQa9Bb0EfQO9An0BvQC8/7z+vP28/Pz7/Ps8+jz5fPi897z2/PY89Tz0fPO88vzyPPF88Lzv/O887nztvOz87DzrfOr86jzpfOi86DznfOa85jzlfOS84/zjfOK84jzhfOC84DzffN783jzdfNz83DzbvNr82nzZvNk82HzX/Nc81rzWPNV81PzUPNO80zzSfNH80XzQvNA8z7zO/M58zfzNfMz8zHzL/Ms8yrzKPMm8yTzIvMg8x7zHPMb8xnzF/MV8xPzEvMQ8w7zDPML8wnzB/MG8wTzA/MB8wDy//L98vzy+/L58vjy9/L28vXy9PLy8vLy8fLw8u/y7vLt8u3y7PLs8uvy6/Lq8ury6vLq8uny6fLp8uny6fLq8ury6vLq8uvy6/Ls8uzy7fLt8u7y7vLv8vDy8PLx8vLy8/L08vTy9fL28vfy9/L48vny+vL68vvy/PL88v3y/vL+8v/zAPMA8wHzAfMC8wLzA/MD8wTzBPMF8wXzBvMG8wfzCPMI8wnzCvML8wzzDfMO8w/zEfMS8xTzFfMX8xnzG/Md8x/zIvMk8yfzKvMt8zDzM/M28zrzPfNB80TzSPNM81DzVPNY81zzYPNk82jzbPNx83TzePN884DzhPOH84rzjvOR85Tzl/OZ85vznvOg86Hzo/Ok86XzpvOm86bzpvOm86XzpfOk86LzofOf857zm/OZ85fzlPOR84/zjPOJ84bzgvN/83zzefN183Lzb/Ns82nzZvNj82DzXvNb81nzV/NV81PzUfNQ80/zTfNN80zzS/NL80vzS/NL80vzTPNN803zTvNP81DzUfNS81TzVfNW81fzWPNZ81rzW/Nb81zzXPNd813zXfNc81zzW/Na81jzV/NV81PzUfNP80zzSfNG80PzP/M78zjzM/Mv8yvzJ/Mi8x7zGfMU8xDzC/MH8wPy//L78vfy8/Lw8u3y6vLn8uXy4/Li8uDy4PLf8uDy4PLh8uPy5fLn8ury7vLy8vby+/MA8wbzDPMT8xrzIfMp8zHzOfNC80vzVPNd82bzcPN684PzjfOX86HzqvO0873zxvPQ89jz4fPp8/Hz+fQA9Af0DvQU9Bn0HvQj9Cf0K/Qv9DL0NPQ29Df0OPQ59Dn0OfQ59Dj0NvQ19DP0MfQu9Cz0KfQm9CP0IPQd9Bn0FvQT9BD0DfQK9Aj0BfQD9AH0APP+8/3z/fP88/3z/fP+8//0APQD9AX0CPQL9A70EvQW9Bv0H/Qk9Cr0L/Q19Dv0QfRH9E30U/RZ9F/0ZfRr9HH0dvR89IH0hvSK9I70kvSW9Jn0nPSe9KD0ovSj9KT0pPSk9KP0ovSh9J/0nPSa9Jf0lPSQ9Iz0ifSE9ID0e/R39HL0bfRp9GT0YPRb9Ff0U/RP9Ez0SPRF9EP0QPQ/9D30PPQ79Dv0O/Q89D30P/RB9EP0RvRK9E70UvRW9Fv0YfRm9Gz0cvR59H/0hvSN9JP0mvSh9Kj0r/S29L30w/TJ9M/01fTb9OD05fTp9O708fT19Pf0+vT89P70//T/9P/0//T+9P30+/T59Pb09PTw9O306PTk9N/02/TV9ND0yvTF9L/0ufSz9K30p/Sh9Jv0lfSQ9Ir0hfR/9Hr0dvRx9G30afRm9GL0YPRd9Fv0WvRY9Fj0V/RX9Fj0WfRa9Fz0XvRg9GP0Z/Rr9G/0c/R59H70g/SK9JD0lvSd9KX0rPS09Lz0xPTM9NX03vTn9PD0+fUC9Qv1FfUe9Sj1MvU79UX1T/VY9WL1bPV19X/1ifWS9Zz1pfWv9bj1wfXL9dT13fXm9e/19/YA9gn2EfYZ9iL2KvYy9jr2QfZJ9lD2V/Ze9mb2bPZz9nn2gPaG9oz2kfaX9pz2ofam9qv2r/az9rf2u/a+9sH2xPbH9sn2y/bN9s/20PbR9tH20vbS9tH20fbQ9s72zfbL9sn2xvbD9sD2vfa59rX2sfas9qf2ovad9pf2kfaL9oX2fvZ39nD2afZi9lr2U/ZL9kP2O/Yz9iv2I/Yb9hP2C/YD9fv18/Xr9eT13PXV9c71x/XB9br1tPWv9an1pPWf9Zv1l/WU9ZH1jvWM9Yr1ifWI9Yj1iPWJ9Yv1jPWP9ZL1lfWZ9Z71ovWo9a71tPW79cL1yvXS9dv14/Xt9fb2APYK9hT2H/Yq9jT2P/ZL9lb2YfZs9nj2g/aO9pn2pfaw9rr2xfbQ9tr25Pbu9vj3AfcK9xP3HPck9yz3NPc790L3SfdQ91b3XPdi92f3bfdx93b3e/d/94P3h/eL9473kveV95j3m/ef96H3pPen96r3rPev97L3tPe397r3vfe/98L3xffH98r3zffQ99P31vfZ99z33/fi9+X35/fr9+338Pfz9/b3+ff89/74AfgD+Ab4CPgK+A34D/gR+BL4FPgW+Bf4GPgZ+Br4G/gc+Bz4Hfgd+B34Hfgd+Bz4HPgb+Br4GfgY+Bf4FvgV+BP4EfgQ+A74DPgK+Aj4BvgE+AL4APf99/v3+ff29/T38vfv9+336vfo9+b34/fh99/33ffa99j31vfU99L30PfO9833y/fJ98j3xvfF98T3w/fC98H3wffA97/3v/e/92v3bPdt92/3cPdy93T3dvd493r3fPd+94H3g/eG94n3i/eP95L3lfeY95v3n/ei96b3qvet97H3tfe59733wffF98n3zffR99X32vfd9+L35vfq9+738ff19/n3/fgA+AT4B/gL+A74EfgU+Bf4Gvgd+B/4Ivgk+Cf4Kfgr+C34L/gw+DL4M/g1+Db4OPg5+Dr4O/g8+D34Pvg/+ED4QPhB+EL4Q/hE+EX4RvhH+Ej4SfhL+Ez4TvhP+FH4UvhU+Fb4Wfhb+F34YPhi+GX4aPhr+G74cvh1+Hn4fPiA+IT4iPiM+JD4lPiY+J34ofil+Kr4rviy+Lb4u/i/+MP4x/jL+M740vjW+Nn43fjg+OP45vjo+Or47fjv+PH48vj0+PX49vj3+Pf49/j3+Pf49/j2+Pb49fjz+PL48Pju+Oz46vjo+Ob44/jg+N742vjX+NT40fjO+Mv4x/jE+MH4vfi6+Lb4s/iw+Kz4qfim+KP4oPid+Jr4l/iU+JL4j/iN+Ir4iPiG+IT4gviA+H74fPh6+Hn4d/h2+HT4c/hy+HD4b/hu+G34a/hq+Gn4aPhn+GX4ZPhj+GH4YPhe+Fz4W/hZ+Ff4VfhT+FH4T/hM+Er4SPhF+EL4P/g8+Dn4Nvgz+C/4LPgo+CX4Ifgd+Bn4FvgS+A74CfgF+AH3/ff59/X38ffs9+j35Pfg99z31/fT98/3y/fH98T3wPe897j3tPex9633qvem96P3oPed95r3lveT95D3jfeL94j3hfeC94D3ffd793j3dfdz93D3bvdr92n3Zvdk92H3X/dc91n3V/dU91H3TvdM90n3RvdD90D3Pfc59zb3M/cv9yz3KPcl9yH3HfcZ9xX3EfcN9wn3BfcB9v32+fb09vD26/bn9uL23vbZ9tT20PbL9sf2wva99rj2s/av9qr2pfag9pz2l/aS9o32iPaE9n/2evZ19nD2bPZn9mL2XfZY9lT2T/ZK9kX2QfY89jf2MvYt9ij2I/Ye9hn2FPYP9gr2BfYA9fv19vXx9ev15vXg9dv11vXQ9cv1xfW/9br1tPWu9aj1o/Wd9Zf1kfWL9YX1f/V59XP1bPVm9WD1WvVU9U31R/VB9Tv1NPUu9Sj1IvUb9RX1D/UJ9QP0/fT39PH06/Tl9N/02fTT9M30yPTC9Lz0t/Sx9Kz0p/Sh9Jz0l/SS9I30iPSD9H70evR19HD0bPRn9GP0X/Ra9Fb0UvRO9Er0RvRC9D70OvQ39DP0L/Qs9Cj0JfQh9B70G/QX9BT0EfQO9Av0CPQF9ALz//P88/nz9vP08/Hz7vPr8+nz5vPj8+Hz3vPb89nz1vPU89Hzz/PM88rzyPPF88PzwPO+87zzufO387XzsvOw867zq/Op86fzpfOi86DznvOc85nzl/OV85PzkfOP84zzivOI84bzg/OB83/zffN783jzdvN083LzcPNu82vzafNn82XzY/Nh81/zXPNa81jzVvNU81LzUPNO80zzSvNI80bzRPNC80DzPvM88zvzOfM38zXzNPMy8zHzL/Mt8yzzK/Mp8yjzJ/Mm8yXzJPMj8yLzIfMg8yDzH/Me8x7zHfMd8x3zHPMc8xzzHPMc8xzzHPMc8x3zHfMd8x3zHvMe8x/zH/Mf8yDzIfMh8yLzIvMj8yPzJPMk8yXzJvMm8ybzJ/Mn8yjzKPMo8ynzKfMp8ynzKvMq8yrzKvMq8yrzKvMq8yrzKfMp8ynzKfMp8ynzKPMo8yjzKPMo8yjzKPMo8yjzKPMo8yjzKPMp8ynzKfMq8yvzLPMt8y7zL/Mw8zHzM/M08zbzOPM68zzzPvNA80PzRfNI80rzTfNQ81PzVvNZ81zzX/Nj82bzafNs83Dzc/N283nzffOA84PzhvOJ84zzj/OR85TzlvOZ85vznfOf86Hzo/Ok86bzp/Oo86nzqvOr86zzrPOt863zrfOt863zrfOt86zzrPOs86vzq/Oq86rzqfOp86jzqPOn86fzp/Om86bzpvOm86bzpvOm86bzp/On86jzqPOp86rzq/Os863zrvOv87HzsvOz87XztvO487rzu/O9877zwPPB88PzxPPF88fzyPPJ88rzy/PL88zzzPPN883zzfPM88zzy/PL88rzyPPH88XzxPPC88DzvvO787nzt/O087HzrvOr86jzpfOi85/znPOZ85bzkvOQ843zivOH84XzgvOA837zfPN683jzd/N283XzdPN083TzdPN183XzdvN483nze/N983/zgfOE84fzivOO85HzlfOZ853zofOm86rzr/O087jzvfPC88bzy/PQ89Xz2fPe8+Lz5vPq8+7z8vP28/nz/fQA9AP0BfQI9Ar0DPQO9A/0EfQS9BP0E/QU9BT0FPQU9BT0FPQT9BP0EvQR9BD0D/QO9A30DPQL9Ar0CvQJ9Aj0B/QH9Ab0BvQG9Ab0BvQH9Af0CPQJ9Av0DPQO9BD0EvQU9Bf0GvQd9CD0JPQn9Cv0L/Qz9Df0O/RA9EX0SfRO9FL0V/Rc9GD0ZfRp9G70cvR39Hv0f/SC9Ib0ivSN9JD0k/SV9Jj0mvSc9J30n/Sg9KH0ovSi9KL0ovSi9KL0ofSh9KD0n/Sd9Jz0m/SZ9Jj0lvSV9JP0kvSQ9I/0jvSM9Iv0ivSK9In0iPSI9Ij0iPSI9In0ifSK9Iv0jfSO9JD0kvSU9Jf0mvSd9KD0o/Sm9Kr0rvSy9LX0uvS+9ML0xvTK9M700/TX9Nv03/Tj9Of06vTu9PH09fT49Pr0/fT/9QL1A/UF9Qf1CPUJ9Qn1CvUK9Qr1CfUJ9Qj1B/UG9QT1AvUA9P70/PT69Pf09fTy9O/07fTq9Of05PTh9N/03PTZ9Nf01PTS9ND0zvTM9Mr0yfTI9Mf0xvTG9MX0xfTG9Mb0x/TI9Mr0y/TN9M/00vTV9Nj02/Tf9OP05/Tr9PD09fT69P/1BPUK9RD1FvUc9SL1KPUv9TX1PPVD9Ur1UfVY9V/1ZvVt9XT1e/WC9Yn1kPWX9Z71pfWr9bL1ufW/9cb1zfXT9dn14PXm9ez18vX49f72BPYK9g/2FfYa9iD2JfYq9i/2NPY59j72Q/ZH9kz2UPZV9ln2XfZh9mX2afZt9nD2dPZ39nr2ffaA9oP2hvaI9ov2jfaP9pH2k/aU9pb2l/aY9pj2mfaZ9pn2mfaZ9pj2mPaW9pX2lPaS9pD2jvaL9on2hvaD9n/2fPZ49nT2cPZs9mf2Y/Ze9ln2VPZO9kn2RPY+9jj2M/Yt9if2IfYb9hX2EPYK9gT1//X59fT17vXp9eT14PXb9df10/XP9cv1yPXF9cL1wPW+9b31u/W69br1ufW69br1u/W99b71wPXD9cb1yfXN9dH11fXa9d/15fXr9fH19/X+9gX2DPYU9hz2JPYs9jT2PfZG9k72V/Zg9mn2cvZ79oX2jvaX9qD2qPax9rr2w/bL9tP23Pbk9uv28/b69wL3CfcP9xb3HPci9yj3Lfcy9zf3PPdB90X3SfdN91D3VPdX91r3XPdf92H3Y/dl92f3aPdq92v3bfdu92/3b/dw93H3cfdy93L3c/dz93T3dPd093T3dfd193X3dfd193b3dvd293b3dvd393f3d/d393f3ePd493j3ePd493n3efd593n3efd593n3evd693r3evd693r3evd693r3efd593n3efd593j3ePd493f3d/d293b3dvd193T3dPdz93P3cvdx93H3cPdv92/3bvdt9233bPdr92r3avdp92j3aPdn92f3Zvdm92X3Zfdk92T3ZPdj92P3Y/dj92P3Y/dj92P3Y/dj92T3ZPdl92X3Zvdn92j3aPdp9v73AfcD9wb3CfcL9w73EPcT9xb3GPcb9x73IPcj9yb3Kfcr9y73Mfc09zb3Ofc89z/3QvdF90f3SvdN91D3UvdV91j3Wvdd92D3Yvdl92f3avds92/3cfdz93b3ePd693z3fveA94L3hPeG94j3iveM9473j/eR95P3lPeW95j3mfeb95z3nvef96H3ovek96X3pveo96r3q/et9673sPey97P3tfe397n3u/e997/3wffE98b3yPfL98330PfT99b32ffc99/34vfl9+n37Pfw9/P39/f79/74AvgG+Ar4DvgS+Bb4Gvge+CL4Jvgq+C74Mfg1+Dn4PfhB+ET4SPhL+E/4UvhV+Fj4W/he+GH4Y/hl+Gj4avhs+G34b/hw+HL4c/hz+HT4dPh1+HX4dfh1+HT4dPhz+HL4cfhw+G74bfhr+Gn4Z/hl+GP4Yfhe+Fz4WfhW+FP4UfhO+Ev4SPhE+EH4Pvg7+Dj4NPgx+C74Kvgn+CT4Ifgd+Br4F/gU+BH4DvgK+Af4BPgB9/73/Pf59/b38/fw9+736/fo9+b34/fh99733PfZ99f31PfS98/3zffL98j3xvfD98H3v/e897r3uPe197P3sPeu96v3qfen96T3ovef9533mveY95X3k/eR9473jPeJ94f3hPeC93/3ffd693j3dvdz93H3b/dt92r3aPdm92T3Yvdg9173XPda91j3VvdU91P3UfdP9033TPdK90j3R/dF90T3QvdB9z/3Pvc89zv3Ofc39zb3NPcz9zH3L/cu9yz3Kvco9yf3Jfcj9yH3H/cd9xr3GPcW9xP3EfcO9wz3CfcG9wP3APb99vr29/bz9vD27Pbp9uX24fbe9tr21vbS9s72yvbF9sH2vfa49rT2r/ar9qb2ovad9pj2lPaP9or2hfaB9nz2d/Zy9m32aPZk9l/2WvZV9lD2TPZH9kL2PfY49jT2L/Yq9iX2IfYc9hf2E/YO9gn2BfYA9fv19/Xy9e716fXk9eD12/XX9dL1zfXJ9cT1v/W79bb1sfWt9aj1o/We9Zr1lfWQ9Yv1hvWC9X31ePVz9W71afVk9V/1WvVV9VD1S/VF9UH1O/U29TH1LPUn9SL1HfUY9RL1DfUI9QP0/vT59PT07/Tq9OX04PTc9Nf00vTN9Mj0xPS/9Lr0tvSx9K30qPSk9KD0m/SX9JP0j/SL9If0g/R/9Hv0d/Rz9HD0bPRp9GX0YfRe9Fv0V/RU9FH0TvRK9Ef0RPRB9D70O/Q59Db0M/Qw9C70K/Qo9Cb0I/Qg9B70HPQZ9Bf0FPQS9A/0DfQL9An0BvQE9AL0APP98/vz+fP38/Xz8/Px8+7z7PPq8+jz5vPk8+Lz4PPe89zz2vPY89bz1PPS89DzzvPM88rzyPPG88TzwvPA877zvPO687jztfOz87Hzr/Ot86vzqfOn86Xzo/Oh85/znPOa85jzlvOU85LzkPOO84zzivOI84bzg/OB83/zffN783nzd/N183PzcfNv823za/Nq82jzZvNk82PzYfNf813zXPNa81nzV/NW81TzU/NS81HzT/NO803zTPNL80rzSfNI80fzRvNG80XzRPNE80PzQvNC80HzQfNA80DzP/M/8z/zP/M+8z7zPvM98z3zPfM88zzzPPM88zvzO/M78zrzOvM68znzOfM48zjzOPM38zfzNvM28zXzNPM08zPzMvMy8zHzMfMw8y/zL/Mu8y3zLPMs8yvzKvMq8ynzKfMo8yjzJ/Mn8yfzJvMm8ybzJvMm8ybzJvMm8yfzJ/Mo8yjzKfMq8yvzLPMt8y7zL/Mx8zLzNPM28zjzOvM88z7zQPND80XzSPNK803zUPNS81XzWPNb817zYfNk82jza/Nu83HzdPN383vzfvOB84TziPOL847zkfOU85fzmvOd86Dzo/Om86nzq/Ou87HztPO287nzvPO+88Hzw/PG88jzy/PN89Dz0vPU89fz2fPc897z4fPj8+Xz6PPr8+3z8PPy8/Xz+PP68/30APQD9AX0CPQL9A70EfQU9Bf0GvQd9CD0I/Qm9Cn0LPQu9DH0NPQ39Dn0PPQ/9EH0Q/RG9Ej0SvRM9E70UPRR9FP0VPRV9Fb0V/RY9Fn0WfRZ9Fn0WfRZ9Fn0WPRX9Fb0VfRU9FP0UfRQ9E70TPRK9Ej0RvRD9EH0PvQ89Dn0NvQ09DH0LvQr9Cj0JvQj9CD0HfQa9Bf0FfQS9A/0DfQK9Aj0BvQD9AHz//P98/zz+vP48/fz9fP08/Pz8vPw8+/z7/Pu8+3z7fPs8+zz7PPr8+vz6/Pr8+vz6/Pr8+vz6/Pr8+vz6/Pr8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+3z7fPt8+7z7vPv8+/z8PPx8/Lz8/P08/Xz9/P48/rz/PP+9AD0AvQF9Af0CvQN9A/0EvQW9Bn0HPQg9CT0J/Qr9C/0M/Q39Dz0QPRE9En0TfRR9Fb0WvRf9GP0aPRs9HD0dPR59H30gfSF9In0jPSQ9JP0l/Sa9J30oPSj9Kb0qfSr9K30sPSy9LT0tfS39Ln0uvS89L30vvS/9MD0wfTB9ML0w/TD9MT0xPTF9MX0xvTG9Mb0x/TH9Mj0yPTJ9Mr0yvTL9Mz0zfTN9M70z/TQ9NL00/TU9Nb01/TY9Nr03PTd9N/04fTj9OT05vTo9Or07PTu9PD08vT09Pb0+PT59Pv0/fT/9QD1AvUE9QX1B/UI9Qn1CvUL9Q31DvUO9Q/1EPUQ9RH1EfUS9RL1E/UT9RP1E/UT9RP1E/UT9RP1E/UT9RP1E/UT9RP1E/UU9RT1FPUV9RX1FvUW9Rf1GPUZ9Rr1G/Uc9R71H/Uh9SP1JfUn9Sr1LPUv9TH1NPU39Tr1PvVB9UX1SPVM9VD1VPVY9Vz1YfVl9Wr1bvVz9Xf1fPWB9Yb1i/WP9ZT1mfWe9aP1p/Ws9bH1tvW69b/1w/XI9cz10fXV9dn13vXi9eb16vXu9fH19fX59fz2APYD9gb2CvYN9hD2E/YW9hn2G/Ye9iH2I/Ym9ij2K/Yt9i/2MvY09jb2OPY69jz2PvZA9kL2Q/ZF9kf2SPZK9kv2TfZO9k/2UPZS9lP2VPZV9lX2VvZX9lj2WPZY9ln2WfZZ9ln2WfZZ9lj2WPZX9lb2VfZV9lP2UvZR9k/2TfZM9kr2SPZG9kP2QfY/9jz2OfY29jT2MfYu9iv2J/Yk9iH2HfYa9hf2E/YQ9g32CfYG9gP2APX89fn19/X09fH17vXs9en15/Xl9eP14fXg9d/13vXd9dz13PXb9dv13PXc9d313vXf9eH14/Xl9ef16vXs9e/18/X29fr1/vYC9gf2C/YQ9hX2GvYg9iX2K/Yx9jb2PPZD9kn2T/ZV9lz2YvZo9m/2dfZ89oL2iPaP9pX2m/ah9qf2rfay9rj2vfbD9sj2zfbS9tb22vbf9uP25/bq9u728fb09vf2+fb89v73APcC9wP3BfcG9wf3CPcI9wn3CfcJ9wn3CfcJ9wj3B/cH9wb3BfcE9wL3AfcA9v72/fb79vn29/b29vT28vbw9u727Pbq9uj25vbk9uL24Pbe9tz22vbY9tf21fbT9tH2z/bO9sz2yvbJ9sj2xvbF9sP2wvbB9sD2v/a+9r32vPa79rr2uva59rn2uPa49rj2uPa39rf2t/a39rf2uPa49rj2ufa59rn2uva79rv2vPa99r72v/bA9sH2wvbD9sX2xvbH9sn2yvbM9s32z/bQ9tL21PbW9tf22fbb9t323/bh9uP25fbn9ur27Pbu9vD28/b19vf2+vb89rP2tva59rz2v/bC9sX2yfbM9s/20vbU9tf22vbd9uD24/bl9uj26/bt9vD28vb19vf2+vb89v73AfcD9wX3B/cJ9wv3DfcP9xH3E/cV9xf3Gfca9xz3Hvcf9yH3I/ck9yb3J/cp9yr3LPct9y/3MPcy9zP3Nfc29zj3Ofc79zz3Pvc/90H3Q/dE90b3SPdJ90v3TfdP91H3U/dV91f3Wfdb9133X/di92T3Z/dp92z3bvdx93T3dvd593z3f/eC94X3iPeL94/3kveV95n3nPef96P3pveq9633sPe097f3u/e+98L3xffJ98z3z/fT99b32ffc99/34vfl9+j36/fu9/D38/f19/j3+vf89/74APgB+AP4BfgG+Af4CPgJ+Ar4C/gL+Az4DPgM+Az4DPgL+Av4CvgJ+An4B/gG+AX4BPgC+AD3//f99/v3+ff29/T38vfv9+336vfn9+T34ffe99v32PfV99L3z/fL98j3xffB9773u/e397T3sPet96n3pvei95/3m/eY95T3kfeN94r3h/eD94D3fPd593b3c/dw92z3afdm92P3YPdd91r3V/dU91H3TvdL90n3RvdD90H3Pvc79zn3Nvc09zH3L/ct9yv3KPcm9yT3Ivcg9x73HPca9xj3FvcU9xL3EfcP9w33DPcK9wn3B/cG9wT3A/cC9wH2//b+9v32/Pb79vr2+fb49vf29vb19vT28/by9vH28Pbw9u/27vbt9uz26/bq9ur26fbo9uf25vbl9uT24/bi9uD23/be9tz22/ba9tj21/bV9tP20vbQ9s72zPbK9sj2xvbD9sH2v/a89rr2t/a09rL2r/as9qn2pvai9p/2nPaY9pX2kfaO9or2hvaD9n/2e/Z39nP2b/Zr9mf2Y/Ze9lr2VvZS9k32SfZF9kD2PPY39jP2LvYq9ib2IfYd9hj2FPYQ9gv2B/YC9f71+fX19fH17PXo9eP13/Xb9df10vXO9cr1xfXB9b31ufW19bD1rPWo9aT1n/Wb9Zf1k/WP9Yv1hvWC9X71evV29XL1bfVp9WX1YfVd9Vn1VPVQ9Uz1SPVE9UD1O/U39TP1L/Ur9Sf1IvUe9Rr1FvUS9Q71CfUF9QH0/fT59PX08fTt9On05fTh9N302fTV9NH0zfTJ9Mb0wvS+9Lr0t/Sz9K/0rPSo9KX0ofSe9Jr0l/ST9JD0jfSK9Ib0g/SA9H30evR39HT0cfRu9Gz0afRm9GP0YfRe9Fv0WfRW9FT0UfRP9Ez0SvRI9EX0Q/RB9D/0PPQ69Dj0NvQ09DL0L/Qt9Cv0KfQn9CX0I/Qh9B/0HvQc9Br0GPQW9BT0EvQQ9A/0DfQL9An0B/QF9AT0AvQA8/7z/fP78/nz9/P18/Tz8vPw8+7z7fPr8+nz5/Pl8+Tz4vPg897z3fPb89nz1/PV89Tz0vPQ887zzPPL88nzx/PF88PzwvPA877zvPO687nzt/O187PzsvOw867zrPOr86nzp/Ol86TzovOg85/znfOb85rzmPOX85XzlPOS85Hzj/OO84zzi/OJ84jzh/OF84Tzg/OB84Dzf/N+833zfPN683nzePN383bzdfN083PzcvNx83Dzb/Nu823zbPNr82rzafNo82jzZ/Nm82XzZPNj82LzYfNh82DzX/Ne813zXPNb81vzWvNZ81jzV/NW81bzVfNU81PzUvNS81HzUPNP80/zTvNN803zTPNM80vzS/NK80rzSfNJ80nzSPNI80jzSPNI80jzSPNI80nzSfNJ80rzSvNL80zzTfNN80/zUPNR81LzVPNV81bzWPNa81zzXvNg82LzZPNm82nza/Nu83Dzc/N283jzfPN/84HzhfOI84vzj/OS85XzmfOc86Dzo/On86vzr/Oy87bzuvO+88LzxfPJ883z0fPV89nz3fPh8+Xz6fPt8/Hz9fP58/30AfQF9An0DfQR9BX0GfQd9CH0JfQp9C30MfQ19Dn0PfRB9EX0SfRN9FH0VfRZ9F30YfRk9Gj0bPRw9HT0ePR89ID0g/SH9Iv0j/SS9Jb0mvSd9KD0pPSn9Kr0rvSx9LT0t/S69Lz0v/TC9MT0xvTI9Mv0zfTO9ND00vTT9NT01vTX9Nf02PTZ9Nn02fTZ9Nn02fTZ9Nj02PTX9Nb01fTT9NL00PTP9M30y/TJ9Mb0xPTC9L/0vPS69Lb0tPSx9K30qvSn9KP0oPSc9Jn0lfSS9I70ivSG9IP0f/R79Hf0dPRw9Gz0aPRl9GH0XfRa9Fb0U/RP9Ez0SPRF9EL0PvQ79Dj0NfQy9C/0LPQp9Cf0JPQh9B/0HfQa9Bj0FvQU9BL0EPQO9Az0CvQJ9Af0BvQE9AP0AvQB9ADz//P+8/3z/fP88/zz/PP78/vz+/P78/zz/PP88/3z/fP+8//0APQB9AP0BPQF9Af0CfQL9A30D/QR9BP0FvQY9Bv0HvQg9CP0JvQp9C30MPQz9Df0OvQ+9EL0RvRJ9E30UfRV9Fn0XvRi9Gb0avRu9HL0dvR69H/0g/SH9Iv0j/ST9Jf0m/Se9KL0pvSq9K30sfS09Lj0u/S+9MH0xPTH9Mr0zfTQ9NL01fTX9Nn03PTe9OD04vTk9OX05/Tp9Or07PTt9O/08PTx9PL08/T09PX09vT39Pj0+fT69Pr0+/T89P30/fT+9P70//UA9QD1AfUB9QL1AvUD9QP1BPUF9QX1BvUG9Qf1B/UI9Qj1CfUJ9Qr1CvUL9Qv1DPUM9Q31DfUO9Q71D/UP9RD1EPUR9RH1EvUS9RP1FPUU9RX1FfUW9Rf1F/UY9Rn1GfUa9Rv1HPUd9R71H/Ug9SH1IvUj9ST1JfUn9Sj1KvUr9S31L/Uw9TL1NPU29Tj1O/U99T/1QvVE9Uf1SvVM9U/1UvVV9Vj1W/Vf9WL1ZfVp9Wz1cPV09Xf1e/V/9YL1hvWK9Y71kvWW9Zr1nvWh9aX1qfWt9bH1tfW49bz1wPXE9cf1y/XO9dL11fXZ9dz13/Xi9eX16PXr9e718fXz9fb1+fX79f32APYC9gT2BvYI9gr2DPYN9g/2EfYS9hT2FfYW9hj2GfYa9hv2HPYd9h72H/Yg9iH2IfYi9iP2I/Yk9iT2JfYl9ib2JvYn9if2J/Yo9ij2KPYo9ij2KfYp9in2KfYo9ij2KPYo9ij2J/Yn9if2JvYm9iX2JfYk9iP2IvYi9iH2IPYf9h72HfYb9hr2GfYY9hb2FfYT9hL2EPYP9g32DPYK9gj2B/YF9gP2AfYA9f71/PX69fn19/X19fT18vXx9e/17vXt9ev16vXp9ej15/Xn9eb15fXl9eT15PXk9eT15fXl9eb15vXn9ej16fXq9ez17fXv9fH18/X19fj1+vX99gD2A/YG9gn2DfYQ9hT2GPYb9h/2I/Yo9iz2MPY09jn2PfZC9kb2S/ZQ9lT2WfZd9mL2Z/Zr9nD2dPZ49n32gfaF9on2jfaR9pX2mfac9qD2o/am9qn2rPav9rH2s/a29rj2uva79r32vva/9sH2wfbC9sL2w/bD9sP2w/bD9sL2wfbB9sD2v/a99rz2u/a59rf2tfaz9rH2r/at9qr2qPam9qP2oPae9pv2mPaV9pL2j/aN9or2h/aE9oH2fvZ79nj2dfZz9nD2bfZq9mj2ZfZj9mD2XvZc9lr2WPZW9lT2UvZQ9k/2TfZM9kv2SfZI9kf2R/ZG9kX2RfZF9kT2RPZE9kX2RfZF9kb2R/ZH9kj2SfZK9kz2TfZO9lD2UvZT9lX2V/ZZ9lv2XfZg9mL2ZPZn9mn2bPZv9nH2dPZ39nr2ffaA9oP2hvaJ9oz2j/aT9pb2mfac9p/2o/am9qn2rPav9of2ivaN9pD2k/aW9pn2m/ae9qH2pPan9qn2rPau9rH2s/a29rj2u/a99r/2wvbE9sb2yPbK9sz2zvbQ9tL21PbW9tj22fbb9t323vbg9uL24/bl9ub26Pbq9uv27Pbu9u/28fby9vT29fb39vj2+vb79vz2/vb/9wH3AvcE9wX3B/cJ9wr3DPcO9w/3EfcT9xX3FvcY9xr3HPce9yD3Ivck9yf3Kfcr9y33MPcy9zT3N/c59zz3PvdB90P3RvdI90v3TvdQ91P3VvdZ91v3Xvdh92T3Zvdp92z3b/dx93T3d/d593z3f/eB94T3hveI94v3jfeP95L3lPeW95j3mvec9533n/eh96L3pPel96b3p/eo96n3qver96z3rPet9633rfet9633rfet9633rPes96v3q/eq96n3qPem96X3pPei96H3n/ed95z3mveY95b3k/eR94/3jPeK94j3hfeC94D3ffd693f3dPdx9273a/do92X3Yfde91v3WPdV91H3TvdL90f3RPdB9z73Ovc39zT3MPct9yr3Jvcj9yD3Hfca9xb3E/cQ9w33CvcH9wT3Afb+9vz2+fb29vP28Pbu9uv26fbm9uT24fbf9tz22vbY9tb20/bR9s/2zfbL9sn2yPbG9sT2wvbB9r/2vfa89rr2ufa39rb2tfaz9rL2sfaw9q72rfas9qv2qvap9qj2p/am9qX2pPaj9qL2ofag9qD2n/ae9p32nPab9pr2mfaY9pf2lvaV9pT2k/aS9pH2kPaP9o32jPaL9on2iPaH9oX2hPaC9oD2f/Z99nv2efZ39nX2c/Zx9m/2bfZr9mj2ZvZk9mH2X/Zc9ln2V/ZU9lH2TvZL9kj2RfZC9j/2PPY59jX2MvYv9iv2KPYl9iH2HvYa9hf2E/YP9gz2CPYE9gH1/fX59fb18vXu9er15vXj9d/12/XX9dP10PXM9cj1xPXA9b31ufW19bH1rvWq9ab1o/Wf9Zv1l/WU9ZD1jPWJ9YX1gfV+9Xr1dvVz9W/1bPVo9WX1YfVe9Vr1VvVT9VD1TPVJ9UX1QvU+9Tv1N/U09TD1LfUq9Sb1I/Uf9Rz1GfUV9RL1D/UL9Qj1BfUB9P70+/T39PT08fTu9Or05/Tk9OH03vTb9Nf01PTR9M70y/TI9MX0wvS/9Lz0ufS29LP0sPSt9Kv0qPSl9KL0n/Sd9Jr0l/SV9JL0j/SN9Ir0iPSF9IP0gPR+9Hv0efR29HT0cvRv9G30a/Rp9Gb0ZPRi9GD0XvRb9Fn0V/RV9FP0UfRP9E30S/RJ9Ef0RfRD9EH0QPQ+9Dz0OvQ49Df0NfQz9DH0L/Qu9Cz0KvQo9Cf0JfQj9CL0IPQe9B30G/QZ9Bj0FvQV9BP0EfQQ9A70DfQL9Ar0CPQG9AX0A/QC9ADz//P98/zz+vP58/fz9vP18/Pz8vPw8+/z7fPs8+vz6fPo8+bz5fPk8+Lz4fPf897z3fPb89rz2fPX89bz1fPT89Lz0fPQ887zzfPM88vzyfPI88fzxvPF88PzwvPB88Dzv/O+87zzu/O687nzuPO387bztfO087PzsvOx87Dzr/Ou863zrPOr86rzqfOo86fzpvOl86Tzo/Oj86LzofOg85/znvOe853znPOb85rzmvOZ85jzmPOX85bzlvOV85TzlPOT85LzkvOR85HzkfOQ85Dzj/OP84/zjvOO847zjvOO843zjfON843zjfOO847zjvOO84/zj/OP85DzkPOR85LzkvOT85TzlfOW85fzmPOZ85rznPOd85/zoPOi86PzpfOn86nzq/Ot86/zsfOz87XzuPO6873zv/PC88Xzx/PK883z0PPT89bz2fPc89/z4/Pm8+nz7PPw8/Pz9/P68/70AfQF9Aj0DPQQ9BT0F/Qb9B/0IvQm9Cr0LvQx9DX0OfQ99EH0RfRI9Ez0UPRU9Fj0W/Rf9GP0Z/Rr9G70cvR29Hr0ffSB9IX0iPSM9JD0k/SX9Jr0nvSi9KX0qfSs9K/0s/S29Ln0vfTA9MP0xvTJ9M300PTT9Nb02PTb9N704fTj9Ob06fTr9O708PTy9PT09vT49Pr0/PT+9QD1AfUD9QT1BvUH9Qj1CfUK9Qr1C/UM9Qz1DfUN9Q31DfUN9Q31DPUM9Qv1C/UK9Qn1CPUH9Qb1BPUD9QH0//T+9Pz0+vT49Pb08/Tx9O/07PTp9Of05PTh9N702/TY9NX00vTP9Mv0yPTF9MH0vvS79Lf0tPSw9K30qfSm9KL0nvSb9Jj0lPSR9I30ivSG9IP0gPR89Hn0dvRz9G/0bPRp9Gb0Y/Rh9F70W/RZ9Fb0VPRR9E/0TfRK9Ej0RvRF9EP0QfQ/9D70PPQ79Dr0OfQ49Df0NvQ19DT0NPQz9DP0M/Qz9DP0M/Qz9DP0NPQ09DX0NfQ29Df0OPQ59Dr0O/Q99D70QPRB9EP0RfRH9En0S/RN9E/0UfRT9Fb0WPRb9F30YPRj9GX0aPRr9G70cfR09Hf0evR89ID0g/SG9In0jPSP9JL0lfSY9Jv0nvSh9KT0p/Sq9K30sPSz9LX0uPS79L70wPTD9MX0yPTL9M30z/TS9NT01vTY9Nr03PTe9OD04vTk9Ob05/Tp9Ov07PTu9O/08PTy9PP09PT19Pf09/T49Pn0+vT79Pz0/fT99P70//T/9QD1APUB9QH1AvUC9QL1A/UD9QP1A/UE9QT1BPUE9QT1BfUF9QX1BfUF9QX1BfUF9QX1BfUF9Qb1BvUG9Qb1BvUG9Qb1BvUH9Qf1B/UH9Qj1CPUI9Qj1CfUJ9Qr1CvUL9Qz1DPUN9Q71D/UP9RD1EfUS9RP1FfUW9Rf1GPUa9Rv1HfUe9SD1IvUj9SX1J/Up9Sv1LfUw9TL1NPU39Tn1PPU+9UH1Q/VG9Un1TPVP9VL1VfVY9Vv1XvVh9WT1Z/Vr9W71cfV09Xj1e/V+9YH1hfWI9Yv1j/WS9ZX1mPWc9Z/1ovWl9aj1q/Wu9bH1tPW39br1vfW/9cL1xfXH9cr1zPXP9dH10/XV9dj12vXc9d714PXh9eP15fXn9ej16vXr9ez17vXv9fD18vXz9fT19fX29ff19/X49fn1+fX69fv1+/X89fz1/PX99f31/fX99f71/vX+9f71/vX+9f71/fX99f31/fX89fz1/PX79fv1+vX69fn1+fX49ff19vX29fX19PXz9fL18fXw9e/17vXt9ez16/Xq9en16PXn9eb15fXj9eL14fXg9d/13vXd9dv12vXZ9dj11/XW9dX11PXT9dP10vXR9dD10PXP9c/1zvXO9c71zvXO9c31zvXO9c71zvXP9c/10PXR9dH10vXU9dX11vXY9dn12/Xc9d714PXi9eT15/Xp9ez17vXx9fT19/X69f32APYD9gb2CvYN9hH2FPYY9hz2H/Yj9if2K/Yu9jL2NvY69j72QvZF9kn2TfZR9lT2WPZc9l/2Y/Zm9mn2bfZw9nP2dvZ59nz2fvaB9oP2hvaI9or2jPaO9o/2kfaS9pT2lfaW9pf2l/aY9pj2mfaZ9pn2mfaZ9pj2mPaX9pb2lvaV9pP2kvaR9o/2jvaM9or2iPaH9oX2gvaA9n72fPZ59nf2dfZy9m/2bfZq9mj2ZfZj9mD2XfZb9lj2VvZT9lH2TvZM9kn2R/ZF9kP2QfY+9jz2O/Y59jf2NfY09jL2MfYw9i72LfYs9iz2K/Yq9ir2KfYp9in2KfYp9in2KfYq9ir2K/Yr9iz2LfYu9i/2MfYy9jT2NfY39jn2OvY89j72QPZD9kX2R/ZK9kz2TvZR9lT2VvZZ9lz2XvZh9mT2Z/Zq9m32cPZz9nb2efZ89n/2gfaE9kb2SPZK9kz2TvZQ9lL2VPZW9lj2WvZc9l32X/Zh9mP2ZfZn9mj2avZs9m72b/Zx9nP2dPZ29nf2efZ69nz2fvZ/9oD2gvaD9oX2hvaH9on2ivaM9o32jvaQ9pH2kvaT9pX2lvaX9pn2mvab9p32nvaf9qH2ovaj9qX2pvao9qn2qvas9q32r/aw9rL2s/a19rb2uPa59rv2vfa/9sD2wvbE9sX2x/bJ9sv2zfbP9tD20vbU9tb22Pba9tz23vbg9uL25Pbm9uj26vbs9u728Pby9vT29vb49vr2/Pb99v/3AfcD9wX3B/cI9wr3DPcN9w/3EfcS9xT3FfcW9xj3Gfca9xv3HPcd9x73H/cg9yH3Ivci9yP3JPck9yT3Jfcl9yX3Jfcl9yX3Jfcl9yT3JPck9yP3I/ci9yH3IPcf9x/3Hvcd9xv3GvcZ9xf3FvcV9xP3EvcQ9w73DPcL9wn3B/cF9wP3Afb/9vz2+vb49vb29Pbx9u/27Pbq9uj25fbj9uD23vbb9tn21vbU9tH2z/bM9sn2x/bE9sL2v/a99rr2uPa19rL2sPau9qv2qfam9qT2ofaf9p32mvaY9pb2k/aR9o/2jfaL9on2h/aF9oP2gfZ/9n32e/Z59nf2dfZ09nL2cPZu9m32a/Zq9mj2Z/Zl9mT2YvZh9l/2XvZd9lv2WvZZ9lf2VvZV9lT2U/ZR9lD2T/ZO9k32TPZK9kn2SPZH9kb2RfZE9kL2QfZA9j/2PvY89jv2OvY59jf2NvY19jT2MvYx9i/2LvYt9iv2KvYo9ib2JfYj9iL2IPYe9hz2G/YZ9hf2FfYT9hH2D/YN9gv2CfYH9gT2AvYA9f71+/X59ff19PXy9e/17fXq9ef15fXi9d/13fXa9df11PXR9c/1zPXJ9cb1w/XA9b31uvW39bT1sfWu9av1qPWl9aL1n/Wc9Zn1lvWT9ZD1jfWJ9Yb1g/WA9X31evV39XT1cfVu9Wv1aPVk9WL1XvVb9Vj1VfVS9U/1TPVK9Uf1RPVB9T71O/U49TX1MvUv9Sz1KfUn9ST1IfUe9Rv1GfUW9RP1EPUO9Qv1CPUG9QP1APT99Pv0+PT19PP08PTu9Ov06PTm9OP04fTe9Nz02fTW9NT00fTP9M30yvTI9MX0w/TA9L70u/S59Lf0tPSy9K/0rfSr9Kn0pvSk9KL0n/Sd9Jv0mfSW9JT0kvSQ9I70i/SJ9If0hfSD9IH0f/R89Hr0ePR29HT0cvRw9G70bPRq9Gj0ZvRk9GL0YPRf9F30W/RZ9Ff0VfRT9FH0UPRO9Ez0SvRI9Ef0RfRD9EH0QPQ+9Dz0OvQ59Df0NfQ09DL0MPQv9C30LPQq9Cj0J/Ql9CT0IvQh9B/0HvQc9Bv0GfQY9Bb0FfQU9BL0EfQP9A70DfQL9Ar0CfQH9Ab0BfQE9AL0AfQA8/7z/fP88/vz+vP48/fz9vP18/Tz8/Py8/Dz7/Pu8+3z7PPr8+rz6fPo8+fz5vPl8+Tz4/Pi8+Hz4PPf897z3fPc89vz2vPZ89jz2PPX89bz1fPU89Pz0vPS89Hz0PPP887zzvPN88zzy/PL88rzyfPJ88jzx/PG88bzxfPE88Tzw/PD88LzwvPB88HzwPPA87/zv/O+877zvfO9873zvPO887zzu/O787vzu/O787rzuvO687rzuvO687rzuvO687vzu/O787vzvPO887zzvfO9877zvvO/87/zwPPB88LzwvPD88TzxfPG88fzyPPJ88rzzPPN887z0PPR89Lz1PPV89fz2fPa89zz3vPg8+Lz5PPl8+fz6vPs8+7z8PPy8/Tz9/P58/vz/vQA9AP0BfQI9Ar0DfQP9BL0FfQX9Br0HfQf9CL0JfQo9Cv0LfQw9DP0NvQ59Dv0PvRB9ET0R/RK9E30T/RS9FX0WPRb9F70YPRj9Gb0afRr9G70cfRz9Hb0efR79H70gfSD9Ib0iPSL9I30kPSS9JX0l/SZ9Jz0nvSg9KP0pfSn9Kn0q/St9K/0svS09LX0t/S59Lv0vfS/9MH0wvTE9Mb0x/TJ9Mr0zPTN9M/00PTR9NP01PTV9Nb01/TY9Nn02vTb9Nz03fTd9N703/Tf9OD04PTg9OH04fTh9OH04fTh9OH04fTh9OH04fTg9OD03/Tf9N703vTd9Nz03PTb9Nr02fTY9Nf01vTU9NP00vTQ9M/0zvTM9Mv0yfTH9Mb0xPTC9MD0v/S99Lv0ufS39LX0s/Sx9K/0rfSr9Kn0p/Sl9KP0ofSe9Jz0mvSY9Jb0lPSS9JD0jvSM9Ir0iPSF9IP0gvSA9H70fPR69Hj0dvR09HP0cfRv9G70bPRr9Gn0aPRm9GX0Y/Ri9GH0YPRf9F70XfRc9Fv0WvRZ9Fj0WPRX9Fb0VvRV9FX0VfRU9FT0VPRU9FT0VPRU9FT0VPRU9FT0VfRV9Fb0VvRX9Ff0WPRY9Fn0WvRb9Fz0XPRe9F/0YPRh9GL0Y/Rk9GX0Z/Ro9Gn0a/Rs9G30b/Rw9HL0c/R19Hb0ePR69Hv0ffR+9ID0gvSD9IX0h/SI9Ir0jPSN9I/0kfSS9JT0lvSX9Jn0m/Sc9J70n/Sh9KP0pPSl9Kf0qfSq9Kv0rfSu9LD0sfSy9LT0tfS29Lf0uPS69Lv0vPS99L70v/TA9MH0wvTD9MT0xfTG9Mb0x/TI9Mn0yfTK9Mv0y/TM9M30zfTO9M70z/TP9M/00PTQ9NH00fTR9NL00vTT9NP00/TT9NT01PTU9NX01fTV9NX01vTW9Nb01/TX9Nf02PTY9Nj02fTZ9Nn02vTa9Nv02/Tc9N303fTe9N703/Tg9OD04fTi9OP05PTl9Ob05/To9On06vTs9O307vTw9PH08vT09Pb09/T59Pv0/PT+9QD1AvUE9Qb1CPUK9Qz1DvUR9RP1FfUY9Rr1HPUf9SH1JPUm9Sn1K/Uu9TH1M/U29Tn1O/U+9UH1Q/VG9Un1TPVP9VH1VPVX9Vr1XPVf9WL1ZPVn9Wr1bPVv9XL1dPV39Xn1fPV+9YH1g/WG9Yj1ivWN9Y/1kfWT9ZX1l/WZ9Zv1nfWf9aH1ovWk9ab1p/Wp9ar1rPWt9a71sPWx9bL1s/W09bX1tvW39bj1ufW59br1uvW79bz1vPW89b31vfW99b31vfW99b31vfW99b31vfW99bz1vPW89bv1u/W69bn1ufW49bj1t/W29bX1tfW09bP1svWx9bD1r/Wu9a31rPWr9ar1qfWo9af1pvWl9aT1pPWj9aL1ofWg9Z/1nvWd9Z31nPWb9Zr1mvWZ9Zn1mPWY9Zf1l/WX9Zf1l/WX9Zf1l/WX9Zf1l/WY9Zj1mfWZ9Zr1m/Wc9Z31nvWf9aD1ovWj9aX1pvWo9ar1q/Wt9a/1sfW09bb1uPW69b31v/XC9cX1x/XK9c310PXS9dX12PXb9d714fXk9ej16/Xu9fH19PX39fr1/fYB9gT2B/YK9g32EPYT9hb2GfYc9h72IfYk9ib2KfYr9i72MPYz9jX2N/Y59jv2PfY+9kD2QvZD9kX2RvZH9kj2SfZK9kv2TPZM9k32TfZN9k72TvZO9k72TvZN9k32TfZM9kz2S/ZK9kr2SfZI9kf2RvZE9kP2QvZB9j/2PvY99jv2OvY49jf2NfY09jL2MfYv9i72LPYr9in2KPYm9iX2I/Yi9iD2H/Ye9hz2G/Ya9hn2GPYX9hb2FfYU9hP2E/YS9hL2EfYR9hD2EPYQ9hD2EPYQ9hD2EPYQ9hD2EfYR9hH2EvYT9hP2FPYV9hb2F/YY9hn2GvYb9h32HvYf9iH2IvYk9iX2J/Yp9ir2LPYu9i/2MfYz9jX2N/Y59jv2PfY+9kH2QvZE9ej16fXq9ev17PXu9e/18PXx9fL18/X09fX19vX39fj1+fX69fv1/PX99f71//YA9gH2AvYD9gT2BfYG9gf2CPYJ9gr2CvYL9gz2DfYO9g/2EPYR9hL2E/YU9hX2FvYX9hj2GfYZ9hr2G/Yc9h32HvYf9iD2IfYi9iP2JPYl9ib2J/Yo9in2KvYr9iz2LfYv9jD2MfYy9jP2NPY19jf2OPY59jr2O/Y99j72P/ZA9kL2Q/ZE9kX2RvZI9kn2SvZM9k32TvZP9lH2UvZT9lX2VvZX9lj2WvZb9lz2XfZe9l/2YfZi9mP2ZPZl9mb2Z/Zo9mn2avZr9mz2bfZu9m72b/Zw9nH2cfZy9nP2c/Z09nX2dfZ19nb2dvZ29nf2d/Z39nf2d/Z39nf2d/Z39nf2d/Z39nf2dvZ29nb2dfZ19nT2dPZz9nP2cvZx9nD2cPZv9m72bfZs9mv2avZp9mj2Z/Zm9mX2ZPZi9mH2YPZe9l32XPZa9ln2WPZW9lX2U/ZS9lD2T/ZN9kz2SvZI9kf2RfZE9kL2QfY/9j32PPY69jn2N/Y19jT2MvYw9i/2LfYs9ir2KfYn9iX2JPYi9iH2H/Ye9hz2G/YZ9hj2FvYV9hP2EvYR9g/2DvYM9gv2CvYI9gf2BvYE9gP2AvYB9gD1/vX99fz1+/X59fj19/X29fX19PXz9fH18PXv9e717fXs9ev16vXp9ef15vXl9eT14/Xi9eH14PXf9d313PXb9dr12fXY9df11fXU9dP10vXQ9c/1zvXN9cv1yvXJ9cf1xvXE9cP1wvXA9b/1vfW89br1ufW39bX1tPWy9bD1r/Wt9av1qvWo9ab1pPWi9aD1n/Wd9Zv1mfWX9ZX1k/WR9Y/1jfWL9Yn1h/WF9YL1gPV+9Xz1evV39XX1c/Vx9W71bPVq9Wf1ZfVj9WH1XvVc9Vr1V/VV9VP1UPVO9Uv1SfVH9UT1QvU/9T31O/U49Tb1M/Ux9S/1LPUq9Sj1JfUj9SH1HvUc9Rr1F/UV9RP1EPUO9Qz1CfUH9QX1AvUA9P70/PT59Pf09fTz9PH07vTs9Or06PTm9OT04fTf9N302/TZ9Nf01fTT9ND0zvTM9Mr0yPTG9MT0wvTA9L70vPS69Lj0tvS09LL0sPSu9Kz0qvSo9Kb0pPSj9KH0n/Sd9Jv0mfSX9JX0k/SS9JD0jvSM9Ir0iPSH9IX0g/SB9H/0fvR89Hr0ePR29HX0c/Rx9G/0bvRs9Gr0aPRn9GX0Y/Ri9GD0XvRc9Fv0WfRY9Fb0VPRS9FH0T/RO9Ez0SvRJ9Ef0RvRE9EL0QfQ/9D70PPQ69Dn0N/Q29DT0M/Qx9DD0LvQt9Cz0KvQp9Cf0JvQk9CP0IfQg9B/0HfQc9Bv0GfQY9Bb0FfQU9BP0EfQQ9A/0DfQM9Av0CvQI9Af0BvQF9AT0AvQB9ADz//P+8/3z/PP68/nz+PP38/bz9fP08/Pz8vPx8/Dz7/Pu8+3z7PPr8+rz6fPo8+fz5vPl8+Tz5PPj8+Lz4fPg89/z3vPe893z3PPb89vz2vPZ89jz1/PX89bz1fPV89Tz0/PT89Lz0vPR89Dz0PPP88/zzvPO883zzfPM88zzy/PL88vzyvPK88rzyfPJ88nzyPPI88jzyPPI88jzx/PH88fzx/PH88fzx/PH88fzx/PI88jzyPPI88jzyfPJ88nzyvPK88vzy/PL88zzzfPN887zzvPP89Dz0fPR89Lz0/PU89Xz1vPX89jz2fPa89vz3PPd897z4PPh8+Lz5PPl8+bz6PPp8+vz7PPt8+/z8PPy8/Tz9fP38/nz+vP88/7z//QB9AP0BfQG9Aj0CvQM9A70D/QR9BP0FfQX9Bn0G/Qd9B70IPQi9CT0JvQo9Cr0LPQu9C/0MfQz9DX0N/Q59Dr0PPQ+9ED0QvRD9EX0R/RJ9Er0TPRO9E/0UfRS9FT0VvRX9Fn0WvRc9F30X/Rg9GL0Y/Rl9Gb0Z/Rp9Gr0a/Rs9G70b/Rw9HH0cvR09HX0dvR39Hj0efR69Hv0fPR99H70f/SA9IH0gvSC9IP0hPSF9IX0hvSH9Ij0iPSJ9Ir0ivSL9Iv0jPSM9I30jfSO9I70jvSP9I/0kPSQ9JD0kPSR9JH0kfSR9JH0kvSS9JL0kvSS9JL0kvSS9JL0kvSS9JL0kfSR9JH0kfSR9JD0kPSQ9I/0j/SP9I70jvSN9I30jfSM9Iz0i/SL9Ir0ifSJ9Ij0iPSH9Ib0hvSF9IT0g/SD9IL0gfSA9ID0f/R+9H30fPR79Hv0evR59Hj0d/R29HX0dPR09HP0cvRx9HD0b/Ru9G30bPRr9Gr0avRp9Gj0Z/Rm9GX0ZPRj9GP0YvRh9GD0X/Re9F70XfRc9Fv0W/Ra9Fn0WfRY9Ff0V/RW9FX0VfRU9FP0U/RS9FL0UfRR9FH0UPRQ9FD0T/RP9E/0TvRO9E70TvRN9E30TfRN9E30TfRN9E30TfRN9E30TfRN9E30TvRO9E70TvRP9E/0T/RQ9FD0UPRR9FH0UvRS9FP0U/RU9FT0VfRV9Fb0V/RX9Fj0WfRZ9Fr0W/Rc9Fz0XfRe9F/0YPRg9GH0YvRj9GT0ZfRm9Gb0Z/Ro9Gn0avRr9Gz0bfRt9G70b/Rw9HH0cvRz9HT0dfR29Hb0d/R49Hn0evR79Hz0fPR99H70f/SA9ID0gfSC9IP0g/SE9IX0hvSG9If0iPSI9In0ivSK9Iv0jPSM9I30jfSO9I/0j/SQ9JD0kfSR9JL0k/ST9JT0lPSV9JX0lvSW9Jf0l/SY9Jn0mfSa9Jr0m/Sb9Jz0nfSd9J70n/Sf9KD0ofSi9KL0o/Sk9KX0pvSm9Kf0qPSp9Kr0q/Ss9K30rvSw9LH0svSz9LT0tvS39Lj0uvS79L30vvTA9MH0w/TF9Mb0yPTK9Mv0zfTP9NH00/TV9Nf02fTb9N303/Th9OP05fTn9On07PTu9PD08vT19Pf0+fT89P71APUD9QX1CPUK9Q31D/UR9RT1FvUZ9Rv1HfUg9SL1JPUn9Sn1LPUu9TD1MvU19Tf1OfU79T31QPVC9UT1RvVI9Ur1TPVO9VD1UfVT9VX1V/VY9Vr1W/Vd9V71YPVh9WP1ZPVl9Wb1Z/Vo9Wn1avVr9Wz1bfVu9W71b/Vw9XD1cfVx9XL1cvVy9XL1c/Vz9XP1c/Vz9XP1c/Vz9XL1cvVy9XL1cfVx9XD1cPVv9W/1bvVu9W31bfVs9Wv1a/Vq9Wn1afVo9Wf1ZvVl9WX1ZPVj9WL1YvVh9WD1X/Vf9V71XfVd9Vz1W/Vb9Vr1WvVZ9Vn1WPVY9Vj1V/VX9Vf1VvVW9Vb1VvVW9Vb1VvVW9Vf1V/VX9Vj1WPVY9Vn1WvVa9Vv1XPVc9V31XvVf9WD1YfVi9WT1ZfVm9Wf1afVq9Wz1bfVv9XH1cvV09Xb1d/V59Xv1ffV/9YH1g/WF9Yf1ifWL9Y31j/WR9ZP1lfWX9Zn1m/Wd9Z/1ofWj9aX1p/Wp9av1rfWv9bH1s/W19bb1uPW69bv1vfW/9cD1wvXD9cX1xvXH9cn1yvXL9cz1zfXO9c/10PXR9dL10/XT9dT11fXV9db11/XX9df12PXY9dj12PXZ9dn12fXZ9dn12fXZ9dn12fXY9dj12PXY9dj11/XX9df11vXW9db11fXV9dT11PXU9dP10/XS9dL10vXR9dH10fXQ9dD10PXP9c/1z/XO9c71zvXO9c71zfXN9c31zfXN9c31zfXN9c31zfXO9c71zvXO9c71z/XP9c/10PXQ9dD10fXR9dL10vXT9dT11PXV9db11vXX9dj12fXZ9dr12/Xc9d313vXf9eD14PXh9eL14/Xk9eX15vXn9Z71nvWf9aD1oPWh9aH1ovWi9aP1pPWk9aX1pfWm9ab1p/Wn9aj1qfWp9ar1qvWr9av1rPWs9a31rfWu9a71r/Wv9bD1sfWx9bL1svWz9bP1tPW09bX1tfW29bb1t/W39bj1uPW59bn1uvW69bv1u/W89bz1vfW99b71v/W/9b/1wPXB9cH1wvXC9cP1w/XE9cT1xfXG9cb1x/XH9cj1yPXJ9cn1yvXL9cv1zPXM9c31zvXO9c/1z/XQ9dD10fXS9dL10/XT9dT11PXV9db11vXX9df12PXY9dn12fXa9dr12/Xb9dz13PXd9d313fXe9d713/Xf9d/14PXg9eD14PXh9eH14fXh9eL14vXi9eL14vXi9eP14/Xj9eP14/Xj9eP14/Xj9eP14/Xi9eL14vXi9eL14vXh9eH14fXg9eD14PXf9d/13/Xe9d713fXd9dz13PXb9dv12vXa9dn12PXY9df11/XW9dX11PXU9dP10vXR9dH10PXP9c71zvXN9cz1y/XK9cn1yPXI9cf1xvXF9cT1w/XC9cH1wPXA9b/1vvW99bz1u/W69bn1uPW39bb1tvW19bT1s/Wy9bH1sPWv9a71rfWt9az1q/Wq9an1qPWn9ab1pvWl9aT1o/Wi9aH1oPWf9Z/1nvWd9Zz1m/Wb9Zr1mfWY9Zf1l/WW9ZX1lPWT9ZP1kvWR9ZD1j/WP9Y71jfWM9Yv1i/WK9Yn1iPWH9Yb1hvWF9YT1g/WC9YL1gfWA9X/1fvV99Xz1e/V69Xn1efV49Xf1dvV19XT1c/Vy9XH1cPVv9W71bPVs9Wr1afVo9Wf1ZvVl9WT1YvVh9WD1X/Ve9Vz1W/Va9Vn1V/VW9VX1U/VS9VH1T/VO9Uz1S/VK9Uj1R/VF9UT1QvVB9T/1PvU89Tv1OfU49Tb1NfUz9TH1MPUu9S31K/Up9Sj1JvUk9SP1IfUf9R71HPUa9Rn1F/UV9RT1EvUQ9Q/1DfUL9Qn1CPUG9QT1AvUB9P/0/fT89Pr0+PT29PX08/Tx9O/07vTs9Or06PTn9OX04/Ti9OD03vTd9Nv02fTX9Nb01PTS9NH0z/TN9Mz0yvTI9Mb0xfTD9ML0wPS+9L30u/S59Lj0tvS09LP0sfSv9K70rPSr9Kn0p/Sm9KT0o/Sh9J/0nvSc9Jv0mfSY9Jb0lPST9JH0kPSO9I30i/SK9Ij0hvSF9IP0gvSA9H/0ffR89Hr0efR39Hb0dPRz9HH0cPRv9G30a/Rq9Gn0Z/Rm9GT0Y/Rh9GD0X/Rd9Fz0WvRZ9Fj0VvRV9FP0UvRQ9E/0TvRM9Ev0SvRI9Ef0RvRE9EP0QvRA9D/0PvQ89Dv0OvQ49Df0NvQ19DP0MvQx9C/0LvQt9Cz0K/Qp9Cj0J/Qm9CX0I/Qi9CH0IPQf9B70HfQb9Br0GfQY9Bf0FvQV9BT0E/QR9BD0D/QO9A30DPQL9Ar0CfQI9Af0BvQF9AT0BPQD9AL0AfQA8//z/vP98/zz+/P78/rz+fP48/fz9vP28/Xz9PPz8/Pz8vPx8/Dz8PPv8+7z7vPt8+zz7PPr8+vz6vPp8+nz6PPo8+fz5/Pm8+bz5fPl8+Tz5PPk8+Pz4/Pi8+Lz4vPh8+Hz4fPh8+Dz4PPg8+Dz3/Pf89/z3/Pf89/z3/Pf89/z3/Pf89/z3/Pf89/z3/Pf8+Dz4PPg8+Dz4PPh8+Hz4fPi8+Lz4vPj8+Pz5PPk8+Xz5fPm8+bz5/Pn8+jz6fPp8+rz6/Pr8+zz7fPt8+7z7/Pw8/Hz8vPz8/Pz9PP18/bz9/P48/nz+vP78/zz/fP+8//0APQB9AP0BPQF9Ab0B/QI9An0CvQM9A30DvQP9BD0EfQT9BT0FfQW9Bf0GPQa9Bv0HPQd9B70IPQh9CL0I/Qk9Cb0J/Qo9Cn0KvQr9C30LvQv9DD0MfQy9DP0NPQ19Df0N/Q59Dr0O/Q89D30PvQ/9ED0QfRC9EP0Q/RE9EX0RvRH9Ej0SfRK9Ev0S/RM9E30TvRP9FD0UPRR9FL0U/RT9FT0VfRW9Fb0V/RY9Fj0WfRZ9Fr0W/Rb9Fz0XPRd9F70XvRf9F/0YPRg9GH0YfRi9GL0Y/Rj9GT0ZPRl9GX0ZvRm9Gb0Z/Rn9Gj0aPRo9Gn0afRp9Gr0avRq9Gr0a/Rr9Gv0bPRs9Gz0bPRs9G30bfRt9G30bfRu9G70bvRu9G70bvRu9G70bvRv9G/0b/Rv9G/0b/Rv9G/0bvRu9G70bvRu9G70bvRu9G70bfRt9G30bfRt9Gz0bPRs9Gz0a/Rr9Gv0avRq9Gr0afRp9Gn0aPRo9Gj0Z/Rn9Gb0ZvRl9GX0ZPRk9GP0Y/Ri9GL0YfRh9GD0YPRf9F/0XvRd9F30XPRc9Fv0WvRa9Fn0WfRY9Fj0V/RW9Fb0VfRU9FT0U/RT9FL0UfRR9FD0UPRP9E/0TvRO9E30TPRM9Ev0S/RK9Er0SfRJ9Ej0SPRI9Ef0R/RG9Eb0RvRF9EX0RPRE9ET0Q/RD9EP0Q/RC9EL0QvRC9EL0QvRB9EH0QfRB9EH0QfRB9EH0QfRB9EH0QfRB9EH0QfRB9EL0QvRC9EL0QvRD9EP0Q/RD9ET0RPRE9EX0RfRF9Eb0RvRG9Ef0R/RH9Ej0SPRJ9En0SvRK9Er0S/RL9Ez0TfRN9E70TvRP9E/0UPRQ9FH0UfRS9FL0U/RT9FT0VPRV9Fb0VvRX9Ff0WPRY9Fn0WfRa9Fv0W/Rc9Fz0XfRe9F70X/Rf9GD0YPRh9GH0YvRj9GP0ZPRk9GX0ZvRm9Gf0Z/Ro9Gn0afRq9Gr0a/Rs9Gz0bfRu9G/0b/Rw9HH0cfRy9HP0dPR09HX0dvR39Hj0efR69Hr0e/R89H30fvR/9ID0gfSC9IP0hPSF9If0iPSJ9Ir0i/SN9I70j/SR9JL0k/SV9Jb0mPSZ9Jv0nPSe9J/0ofSi9KT0pvSn9Kn0q/St9K70sPSy9LT0tvS49Lr0u/S99L/0wfTD9MX0x/TJ9Mv0zfTP9NH00/TV9Nf02fTc9N704PTi9OT05vTo9Or07PTu9PD08vT09Pb0+PT69Pz0/vUA9QL1BPUG9Qj1CfUL9Q31D/UR9RL1FPUW9Rf1GfUb9Rz1HvUf9SH1IvUj9SX1JvUn9Sn1KvUr9Sz1LfUu9S/1MPUx9TL1M/Uz9TT1NfU29Tb1N/U49Tj1OfU59Tn1OvU69Tr1O/U79Tv1O/U79Tv1O/U79Tv1O/U79Tv1O/U79Tv1O/U69Tr1OvU69Tn1OfU59Tj1OPU49Tf1N/U39Tb1NvU19TX1NPU09TP1M/Uz9TL1MvUx9TH1MfUw9TD1MPUv9S/1LvUu9S71LvUt9S31LfUt9Sz1LPUs9Sz1LPUs9Sz1LPUs9Sz1LPUs9Sz1LPUt9S31LfUt9S71LvUu9S/1L/Uw9TD1MfUx9TH1MvUz9TP1NPU19TX1NvU39Tj1OPU59Tr1O/U89T31PfU+9T/1QPVB9UL1Q/VE9UX1RvVH9Uj1SfVK9Uv1TPVN9U71T/VR9VL1U/VU9VX1VvVX9Vj1WfVa9Vv1XPVd9V71X/Vg9WH1YvVj9WP1ZPVl9Wb1Z/Vo9Wn1afVq9Wv1bPVt9W31bvVv9W/1cPVx9XL1cvVz9XP1dPV19XX1dvV29Xf1d/V49Xj1efV59Xr1evV79Xv1fPV89Xz1ffV99X71fvV/9X/1f/WA9YD1gPWB9YH1gvWC9YL1g/WD9YT1hPWE9YX1hfWF9Yb1hvWH9Yf1h/WI9Yj1ifWJ9Yr1ivWK9Yv1i/WM9Yz1jfWN9Y71jvWP9Y/1kPWQ9ZH1kfWS9ZL1k/WT9ZT1lPWV9ZX1lvWW9Zf1mPWY9Zn1mfWa9Zr1m/Wc9Zz1nfWd9Wv1bPVs9Wz1bfVt9W71bvVu9W/1b/Vw9XD1cPVx9XH1cvVy9XL1c/Vz9XP1dPV09XT1dPV19XX1dfV29Xb1dvV29Xf1d/V39Xf1ePV49Xj1ePV59Xn1efV59Xn1evV69Xr1evV69Xv1e/V79Xv1e/V79Xz1fPV89Xz1fPV89Xz1ffV99X31ffV99X31ffV99X31fvV+9X71fvV+9X71fvV+9X71fvV+9X71fvV+9X71f/V/9X/1f/V/9X/1f/V/9X/1f/V/9X/1f/V/9X/1f/V/9X/1f/V+9X71fvV+9X71fvV+9X71fvV+9X71fvV+9X31ffV99X31ffV99X31fPV89Xz1fPV89Xz1e/V79Xv1e/V69Xr1evV69Xn1efV59Xn1ePV49Xj1d/V39Xf1dvV29Xb1dfV19XT1dPV09XP1c/Vz9XL1cvVx9XH1cPVw9W/1b/Vv9W71bvVt9W31bPVs9Wv1a/Vq9Wr1afVp9Wj1aPVn9Wb1ZvVl9WX1ZPVk9WP1Y/Vi9WL1YfVh9WD1X/Vf9V71XvVd9V31XPVb9Vv1WvVa9Vn1WfVY9Vj1V/VW9Vb1VfVV9VT1VPVT9VP1UvVS9VH1UfVQ9VD1T/VO9U71TfVN9Uz1TPVL9Uv1SvVK9Un1SfVJ9Uj1SPVH9Uf1RvVF9UX1RfVE9UT1Q/VD9UL1QvVB9UH1QPVA9T/1P/U/9T71PfU99T31PPU89Tv1O/U69Tr1OfU59Tj1OPU39Tf1NvU29TX1NfU09TT1M/Uz9TL1MvUx9TH1MPUv9S/1LvUu9S31LfUs9Sv1K/Uq9Sr1KfUo9Sj1J/Um9Sb1JfUk9ST1I/Ui9SL1IfUg9R/1H/Ue9R31HPUc9Rv1GvUZ9Rj1GPUX9Rb1FfUU9RP1E/US9RH1EPUP9Q71DfUM9Qv1CvUJ9Qj1CPUH9Qb1BfUE9QP1AvUA9P/0//T99Pz0+/T69Pn0+PT39Pb09fT09PP08fTw9O/07vTt9Oz06/Tp9Oj05/Tm9OX05PTj9OH04PTf9N703fTb9Nr02fTY9Nb01fTU9NP00fTQ9M/0zvTN9Mv0yvTJ9Mf0xvTF9MT0w/TB9MD0v/S99Lz0u/S69Lj0t/S29LT0s/Sy9LH0r/Su9K30rPSq9Kn0qPSm9KX0pPSj9KH0oPSf9J30nPSb9Jr0mPSX9Jb0lfST9JL0kfSQ9I70jfSM9Iv0ifSI9If0hfSE9IP0gvSB9H/0fvR99Hz0evR59Hj0d/R19HT0c/Ry9HH0cPRu9G30bPRr9Gn0aPRn9Gb0ZfRk9GP0YfRg9F/0XvRd9Fz0W/RZ9Fj0V/RW9FX0VPRT9FL0UfRQ9E/0TvRM9Ev0SvRJ9Ej0R/RG9EX0RPRD9EL0QfRA9D/0PvQ99Dz0O/Q69Dn0OPQ49Df0NvQ19DT0M/Qy9DH0MPQw9C/0LvQt9Cz0K/Qr9Cr0KfQo9Cf0J/Qm9CX0JPQk9CP0IvQh9CH0IPQf9B/0HvQd9B30HPQb9Bv0GvQa9Bn0GPQY9Bf0F/QW9Bb0FfQV9BT0FPQT9BP0EvQS9BH0EfQR9BD0EPQP9A/0D/QO9A70DvQN9A30DfQN9Az0DPQM9Az0C/QL9Av0C/QL9Av0C/QK9Ar0CvQK9Ar0CvQK9Ar0CvQK9Ar0CvQK9Ar0CvQK9Ar0CvQL9Av0C/QL9Av0C/QM9Az0DPQM9A30DfQN9A30DvQO9A70D/QP9A/0EPQQ9BH0EfQS9BL0E/QT9BP0FPQU9BX0FfQW9Bb0F/QY9Bj0GfQZ9Br0G/Qb9Bz0HfQd9B70HvQf9CD0IPQh9CL0IvQj9CT0JfQl9Cb0J/Qn9Cj0KfQq9Cr0K/Qs9C30LfQu9C/0MPQw9DH0MvQz9DT0NPQ19Db0N/Q39Dj0OfQ59Dr0O/Q89D30PfQ+9D/0P/RA9EH0QfRC9EP0RPRE9EX0RvRG9Ef0SPRI9En0SvRK9Ev0TPRM9E30TvRO9E/0T/RQ9FD0UfRS9FL0U/RT9FT0VPRV9Fb0VvRX9Ff0WPRY9Fn0WfRZ9Fr0WvRb9Fv0XPRc9Fz0XfRd9F70XvRf9F/0X/Rg9GD0YPRh9GH0YfRi9GL0YvRi9GP0Y/Rj9GT0ZPRk9GT0ZfRl9GX0ZfRm9Gb0ZvRm9Gb0ZvRn9Gf0Z/Rn9Gf0Z/Rn9Gf0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRn9Gf0Z/Rn9Gf0Z/Rn9Gf0ZvRm9Gb0ZvRm9GX0ZfRl9GX0ZPRk9GT0Y/Rj9GP0Y/Ri9GL0YvRh9GH0YfRg9GD0X/Rf9F/0XvRe9F30XfRc9Fz0XPRb9Fv0WvRa9Fn0WfRY9Fj0V/RX9Fb0VvRV9FX0VPRU9FP0UvRS9FH0UfRQ9FD0T/RP9E70TvRN9E30TPRL9Ev0SvRK9En0SfRI9Ej0R/RH9Eb0RvRF9EX0RPRD9EP0QvRC9EL0QfRB9ED0QPQ/9D/0P/Q+9D70PfQ99D30PPQ89Dv0O/Q79Dr0OvQ69Dn0OfQ59Dn0OPQ49Dj0OPQ39Df0N/Q39Df0N/Q29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0N/Q39Df0N/Q39Df0N/Q49Dj0OPQ49Dn0OfQ59Dn0OvQ69Dr0OvQ79Dv0O/Q89Dz0PPQ99D30PfQ+9D70P/Q/9D/0QPRA9EH0QfRB9EL0QvRD9EP0RPRE9EX0RfRG9Eb0R/RH9Ej0SPRJ9Er0SvRL9Ev0TPRN9E30TvRP9E/0UPRR9FH0UvRT9FT0VPRV9Fb0V/RY9Fn0WfRa9Fv0XPRd9F70X/Rg9GH0YvRj9GT0ZfRm9Gf0aPRp9Gr0a/Rs9G30b/Rw9HH0cvRz9HX0dvR39Hn0evR79H30fvR/9IH0gvSE9IX0hvSI9Ir0i/SM9I70kPSR9JP0lPSW9Jj0mfSb9Jz0nvSg9KL0o/Sl9Kb0qPSq9Kz0rfSv9LH0s/S09Lb0uPS69Lv0vfS/9MD0wvTE9Mb0x/TJ9Mv0zfTO9ND00vTU9NX01/TY9Nr03PTd9N/04fTi9OT05fTn9Oj06vTr9O307vTw9PH08/T09PX09/T49Pn0+/T89P30/vT/9QH1AvUD9QT1BfUG9Qf1CPUJ9Qr1C/UM9Q31DfUO9Q/1EPUQ9RH1EvUS9RP1FPUU9RX1FfUW9Rb1F/UX9Rj1GPUY9Rn1GfUZ9Rr1GvUa9Rr1G/Ub9Rv1G/Ub9Rv1G/Uc9Rz1HPUc9Rz1HPUc9Rz1HPUc9Rz1HPUc9Rz1HPUb9Rv1G/Ub9Rv1G/Ub9Rv1G/Ub9Rr1GvUa9Rr1GvUa9Rr1GvUa9Rr1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rr1GvUa9Rr1GvUa9Rr1G/Ub9Rv1G/Ub9Rz1HPUc9Rz1HfUd9R31HvUe9R71H/Uf9R/1IPUg9SD1IfUh9SL1IvUi9SP1I/Uk9ST1JfUl9Sb1JvUn9Sf1KPUo9Sn1KfUq9Sr1K/Ur9Sz1LfUt9S71LvUv9TD1MPUx9TH1MvUy9TP1NPU09TX1NfU29Tf1N/U49Tn1OfU69Tr1O/U79Tz1PfU99T71P/U/9UD1QfVB9UL1QvVD9UP1RPVF9UX1RvVH9Uf1SPVI9Un1SvVK9Uv1S/VM9U31TfVO9U71T/VQ9VD1UfVR9VL1U/VT9VT1VPVV9VX1VvVX9Vf1WPVY9Vn1WvVa9Vv1W/Vc9Vz1XfVd9V71XvVf9WD1YPVh9WH1YvVi9WP1Y/Vk9WT1ZfVl9Wb1ZvVn9Wf1Z/Vo9Wn1afVp9Wr1avVr9Rz1HPUc9R31HfUd9R31HfUe9R71HvUe9R71HvUf9R/1H/Uf9R/1H/Uf9R/1H/Ug9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUf9R/1H/Uf9R/1H/Uf9R/1HvUe9R71HvUe9R71HvUd9R31HfUd9R31HPUc9Rz1HPUc9Rv1G/Ub9Rv1G/Ua9Rr1GvUa9Rn1GfUZ9Rn1GPUY9Rj1GPUX9Rf1F/UX9Rb1FvUW9RX1FfUV9RX1FPUU9RP1E/UT9RP1EvUS9RL1EfUR9RH1EPUQ9RD1D/UP9Q/1DvUO9Q71DfUN9Qz1DPUM9Qv1C/UL9Qr1CvUJ9Qn1CfUI9Qj1CPUH9Qf1BvUG9Qb1BfUF9QX1BPUE9QP1A/UC9QL1AvUB9QH1AfUA9QD0//T/9P/0/vT+9P70/fT99Pz0/PT89Pv0+/T69Pr0+vT59Pn0+fT49Pj09/T39Pf09vT29Pb09fT19PX09PT09PT08/Tz9PP08vTy9PL08fTx9PH08PTw9PD07/Tv9O/07/Tu9O707vTt9O307fTt9Oz07PTs9Oz06/Tr9Ov06vTq9Or06vTp9On06fTp9Oj06PTo9Oj06PTn9Of05/Tn9Ob05vTm9Ob05vTl9OX05fTl9OX05PTk9OT05PTk9OP04/Tj9OP04/Ti9OL04vTi9OH04fTh9OH04fTg9OD04PTg9OD03/Tf9N/03/Te9N703vTe9N703fTd9N303fTc9Nz03PTc9Nv02/Tb9Nr02vTa9Nr02fTZ9Nn02PTY9Nj01/TX9Nf01vTW9Nb01fTV9NX01PTU9NT00/TT9NL00vTR9NH00fTQ9ND0z/TP9M70zvTO9M30zfTM9Mz0y/TL9Mr0yvTJ9Mn0yPTH9Mf0xvTG9MX0xfTE9MT0w/TC9ML0wfTA9MD0v/S/9L70vfS99Lz0u/S79Lr0ufS49Lj0t/S29Lb0tfS09LT0s/Sy9LH0sfSw9K/0rvSt9K30rPSr9Kr0qvSp9Kj0p/Sm9KX0pfSk9KP0ovSh9KD0oPSf9J70nfSc9Jv0mvSa9Jn0mPSX9Jb0lfSU9JP0k/SS9JH0kPSP9I70jfSM9Iv0ivSJ9In0iPSH9Ib0hfSE9IP0gvSB9ID0f/R+9H30ffR89Hv0evR59Hj0d/R29HX0dPRz9HL0cvRx9HD0b/Ru9G30bPRr9Gr0afRp9Gj0Z/Rm9GX0ZPRj9GL0YfRh9GD0X/Re9F30XPRb9Fr0WvRZ9Fj0V/RW9Fb0VfRU9FP0UvRR9FH0UPRP9E70TfRN9Ez0S/RK9Er0SfRI9Ef0R/RG9EX0RPRE9EP0QvRC9EH0QPRA9D/0PvQ+9D30PPQ89Dv0OvQ69Dn0OPQ49Df0N/Q29Db0NfQ09DT0M/Qz9DL0MvQx9DH0MPQw9C/0L/Qu9C70LfQt9Cz0LPQs9Cv0K/Qq9Cr0KfQp9Cn0KPQo9Cj0J/Qn9Cf0JvQm9Cb0JfQl9CX0JfQk9CT0JPQk9CP0I/Qj9CP0I/Qi9CL0IvQi9CL0IvQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IPQg9CD0IPQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IvQi9CL0IvQi9CL0IvQj9CP0I/Qj9CP0JPQk9CT0JPQl9CX0JfQl9Cb0JvQm9Cb0J/Qn9Cf0J/Qo9Cj0KPQp9Cn0KfQp9Cr0KvQq9Cv0K/Qs9Cz0LPQt9C30LfQu9C70LvQv9C/0L/Qw9DD0MPQx9DH0MvQy9DL0M/Qz9DP0NPQ09DX0NfQ19Db0NvQ29Df0N/Q39Dj0OPQ59Dn0OfQ69Dr0OvQ79Dv0O/Q89Dz0PfQ99D30PvQ+9D70PvQ/9D/0P/RA9ED0QPRA9EH0QfRB9EL0QvRC9EL0Q/RD9EP0Q/RE9ET0RPRE9EX0RfRF9EX0RfRG9Eb0RvRG9Eb0RvRH9Ef0R/RH9Ef0R/RH9Ef0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0R/RH9Ef0R/RH9Ef0R/RH9Eb0RvRG9Eb0RvRG9EX0RfRF9EX0RfRE9ET0RPRE9EP0Q/RD9EP0QvRC9EL0QvRB9EH0QfRA9ED0QPRA9D/0P/Q/9D70PvQ+9D30PfQ89Dz0PPQ79Dv0O/Q69Dr0OfQ59Dn0OPQ49Df0N/Q39Db0NvQ19DX0NfQ09DT0M/Qz9DL0MvQx9DH0MPQw9DD0L/Qv9C70LvQt9C30LPQs9Cv0K/Qq9Cr0KvQp9Cn0KPQo9Cf0J/Qm9Cb0JfQl9CX0JPQk9CP0I/Qi9CL0IfQh9CD0IPQg9B/0H/Qe9B70HvQd9B30HPQc9Bz0G/Qb9Bv0GvQa9Bn0GfQZ9Bj0GPQY9Bf0F/QX9Bb0FvQW9Bb0FfQV9BX0FfQU9BT0FPQU9BP0E/QT9BP0E/QS9BL0EvQS9BL0EvQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EvQS9BL0EvQS9BL0E/QT9BP0E/QT9BT0FPQU9BT0FfQV9BX0FvQW9Bb0FvQX9Bf0GPQY9Bj0GfQZ9Br0GvQa9Bv0G/Qc9Bz0HfQd9B70HvQf9B/0IPQg9CH0IvQi9CP0I/Qk9CX0JfQm9Cf0J/Qo9Cn0KfQq9Cv0LPQs9C30LvQv9C/0MPQx9DL0M/Q09DT0NfQ29Df0OPQ59Dr0O/Q89D30PvQ/9ED0QfRC9EP0RPRF9Eb0R/RI9En0SvRL9Ez0TvRP9FD0UfRS9FP0VfRW9Ff0WPRZ9Fv0XPRd9F/0YPRh9GL0ZPRl9Gb0aPRp9Gr0bPRt9G70cPRx9HL0dPR19Hf0ePR69Hv0fPR+9H/0gfSC9IP0hfSG9Ij0ifSL9Iz0jfSP9JD0kvST9JX0lvSY9Jn0mvSc9J30n/Sg9KL0o/Sk9Kb0p/Sp9Kr0q/St9K70r/Sx9LL0s/S19Lb0t/S59Lr0u/S99L70v/TA9ML0w/TE9MX0xvTH9Mn0yvTL9Mz0zfTO9M/00PTR9NL00/TU9NX01vTX9Nj02fTa9Nv03PTd9N703vTf9OD04fTi9OL04/Tk9OX05fTm9Of05/To9Oj06fTq9Or06/Tr9Oz07fTt9O707vTu9O/07/Tw9PD08PTx9PH08vTy9PL08/Tz9PP09PT09PT09PT19PX09fT19Pb09vT29Pb09vT29Pf09/T39Pf09/T39Pf09/T39Pj0+PT49Pj0+PT49Pj0+PT49Pj0+PT49Pj0+PT49Pj0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+vT69Pr0+vT69Pr0+vT69Pr0+vT69Pr0+vT79Pv0+/T79Pv0+/T79Pv0/PT89Pz0/PT89Pz0/PT99P30/fT99P30/vT+9P70/vT+9P70//T/9P/0//T/9QD1APUA9QD1AfUB9QH1AfUC9QL1AvUC9QP1A/UD9QP1BPUE9QT1BfUF9QX1BvUG9Qb1BvUH9Qf1B/UI9Qj1CPUI9Qn1CfUJ9Qr1CvUK9Qv1C/UL9Qz1DPUM9Q31DfUN9Q71DvUO9Q/1D/UP9RD1EPUQ9RD1EfUR9RH1EvUS9RL1E/UT9RP1FPUU9RT1FfUV9RX1FvUW9Rb1FvUX9Rf1F/UY9Rj1GPUY9Rj1GfUZ9Rn1GfUa9Rr1GvUa9Rv1G/Ub9Rv1HPUc9LD0r/Sv9K/0r/Sv9K/0r/Sv9K/0rvSu9K70rvSu9K70rvSu9K30rfSt9K30rfSt9K30rfSs9Kz0rPSs9Kz0rPSs9Kv0q/Sr9Kv0q/Sr9Kv0qvSq9Kr0qvSq9Kr0qfSp9Kn0qfSp9Kn0qPSo9Kj0qPSn9Kf0p/Sn9Kf0p/Sm9Kb0pvSm9Kb0pfSl9KX0pfSl9KT0pPSk9KT0pPSj9KP0o/Sj9KL0ovSi9KL0ovSh9KH0ofSh9KD0oPSg9KD0n/Sf9J/0n/Sf9J70nvSe9J70nfSd9J30nfSc9Jz0nPSc9Jv0m/Sb9Jv0m/Sa9Jr0mvSa9Jn0mfSZ9Jn0mPSY9Jj0mPSY9Jf0l/SX9Jf0lvSW9Jb0lvSV9JX0lfSV9JT0lPSU9JT0lPST9JP0k/ST9JP0kvSS9JL0kvSS9JH0kfSR9JH0kPSQ9JD0kPSQ9I/0j/SP9I/0j/SO9I70jvSO9I70jvSN9I30jfSN9I30jfSM9Iz0jPSM9Iz0jPSL9Iv0i/SL9Iv0i/SL9Iv0ivSK9Ir0ivSK9Ir0ivSK9Ir0ifSJ9In0ifSJ9In0ifSJ9In0ifSI9Ij0iPSI9Ij0iPSI9Ij0iPSI9Ij0iPSI9If0h/SH9If0h/SH9If0h/SH9If0h/SH9If0h/SH9If0h/SH9If0h/SG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hfSF9IX0hfSF9IX0hfSF9IX0hfSF9IX0hfSF9IX0hfSF9IX0hfSE9IT0hPSE9IT0hPSE9IT0hPSE9IT0g/SD9IP0g/SD9IP0g/SD9IP0gvSC9IL0gvSC9IL0gvSB9IH0gfSB9IH0gfSA9ID0gPSA9ID0f/R/9H/0f/R+9H70fvR+9H30ffR99H30fPR89Hz0fPR79Hv0e/R79Hr0evR69Hn0efR59Hj0ePR49Hf0d/R39Hb0dvR29HX0dfR19HT0dPRz9HP0c/Ry9HL0cvRx9HH0cPRw9HD0b/Rv9G70bvRt9G30bPRs9Gz0a/Rr9Gr0avRp9Gn0aPRo9Gf0Z/Rm9Gb0ZfRl9GT0ZPRj9GP0YvRi9GH0YfRg9GD0X/Rf9F70XvRd9F30XPRc9Fv0W/Ra9Fn0WfRZ9Fj0V/RX9Fb0VvRV9FX0VPRU9FP0UvRS9FH0UfRQ9FD0T/RP9E70TvRN9Ez0TPRL9Ev0SvRK9En0SPRI9Ej0R/RG9Eb0RfRF9ET0RPRD9EP0QvRB9EH0QPRA9D/0P/Q+9D70PfQ99Dz0PPQ79Dv0OvQ69Dn0OfQ49Dj0N/Q39Db0NvQ19DX0NPQ09DP0M/Qy9DL0MfQx9DH0MPQw9C/0L/Qu9C70LvQt9C30LPQs9Cz0K/Qr9Cr0KvQp9Cn0KfQo9Cj0KPQn9Cf0J/Qm9Cb0JfQl9CX0JPQk9CT0I/Qj9CP0IvQi9CL0IvQh9CH0IfQg9CD0IPQg9B/0H/Qf9B/0HvQe9B70HvQd9B30HfQd9B30HPQc9Bz0HPQc9Bv0G/Qb9Bv0G/Qa9Br0GvQa9Br0GvQZ9Bn0GfQZ9Bn0GfQZ9Bj0GPQY9Bj0GPQY9Bj0GPQY9Bj0F/QX9Bf0F/QX9Bf0F/QX9Bf0F/QX9Bf0F/QX9Bf0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9BX0FfQV9BX0FfQV9BX0FfQV9BX0FfQV9BX0FPQU9BT0FPQU9BT0FPQU9BT0E/QT9BP0E/QT9BP0E/QT9BL0EvQS9BL0EvQR9BH0EfQR9BH0EfQQ9BD0EPQQ9BD0EPQP9A/0D/QP9A70DvQO9A70DvQN9A30DfQN9A30DPQM9Az0DPQL9Av0C/QL9Ar0CvQK9An0CfQJ9An0CPQI9Aj0CPQH9Af0B/QG9Ab0BvQF9AX0BfQF9AT0BPQE9AP0A/QD9AP0AvQC9AL0AfQB9AH0APQA9ADz//P/8//z/vP+8/7z/fP98/3z/PP88/zz+/P78/vz+vP68/rz+vP58/nz+PP48/jz9/P38/fz9/P28/bz9vP18/Xz9fP08/Tz9PP08/Pz8/Pz8/Lz8vPy8/Hz8fPx8/Dz8PPw8/Dz7/Pv8+/z7/Pu8+7z7vPu8+3z7fPt8+3z7PPs8+zz7PPs8+vz6/Pr8+vz6/Pq8+rz6vPq8+rz6vPp8+nz6fPp8+nz6fPo8+jz6PPo8+jz6PPo8+jz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+jz6PPo8+jz6PPo8+jz6PPp8+nz6fPp8+nz6vPq8+rz6vPq8+vz6/Pr8+vz7PPs8+zz7PPt8+3z7fPt8+7z7vPu8+/z7/Pv8/Dz8PPx8/Hz8fPy8/Lz8/Pz8/Tz9PP08/Xz9fP28/bz9/P38/jz+PP58/nz+vP68/vz/PP88/3z/fP+8/7z//QA9AD0AfQC9AL0A/QD9AT0BfQF9Ab0B/QH9Aj0CfQK9Ar0C/QM9A30DfQO9A/0EPQQ9BH0EvQT9BT0FfQV9Bb0F/QY9Bn0GvQa9Bv0HPQd9B70H/Qg9CH0IvQi9CP0JPQl9Cb0J/Qo9Cn0KvQr9Cz0LfQu9C/0MPQx9DL0M/Q09DX0NvQ39Dj0OfQ69Dv0PPQ99D70P/RA9EH0QvRD9EX0RvRH9Ej0SfRK9Ev0TPRN9E70T/RQ9FH0UvRU9FX0VvRX9Fj0WfRa9Fv0XPRd9F70YPRh9GL0Y/Rk9GX0ZvRn9Gj0afRq9Gv0bPRt9G70b/Rx9HL0cvR09HX0dvR39Hj0efR69Hv0fPR99H70f/SA9IH0gvSC9IP0hPSF9Ib0h/SI9In0ivSL9Iz0jfSN9I70j/SQ9JH0kvST9JP0lPSV9Jb0l/SY9Jj0mfSa9Jv0m/Sc9J30nfSe9J/0oPSg9KH0ovSi9KP0pPSk9KX0pfSm9Kf0p/So9Kj0qfSq9Kr0q/Sr9Kz0rPSt9K30rvSu9K70r/Sv9LD0sPSx9LH0svSy9LL0s/Sz9LP0tPS09LT0tfS19LX0tfS29Lb0tvS39Lf0t/S39Lj0uPS49Lj0uPS59Ln0ufS59Ln0uvS69Lr0uvS69Lr0uvS69Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0vPS89Lz0vPS89Lz0vPS89Lz0vPS89Lz0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0uvS69Lr0uvS69Lr0uvS69Lr0uvS69Lr0ufS59Ln0ufS59Ln0ufS59Ln0ufS59Lj0uPS49Lj0uPS49Lj0uPS49Lj0uPS39Lf0t/S39Lf0t/S39Lf0t/S39Lf0tvS29Lb0tvS29Lb0tvS29Lb0tvS29Lb0tfS19LX0tfS19LX0tfS19LX0tfS19LX0tfS09LT0tPS09LT0tPS09LT0tPS09LT0tPS09LT0s/Sz9LP0s/Sz9LP0s/Sz9LP0s/Sz9LP0s/Sy9LL0svSy9LL0svSy9LL0svSy9LL0svSx9LH0sfSx9LH0sfSx9LH0sfSx9LH0sPSw9LD0sPSw9LD0sPSw9HD0b/Rv9G/0b/Ru9G70bvRu9G70bfRt9G30bfRs9Gz0bPRs9Gz0a/Rr9Gv0a/Rr9Gr0avRq9Gr0avRp9Gn0afRp9Gn0aPRo9Gj0aPRo9Gf0Z/Rn9Gf0Z/Rn9Gb0ZvRm9Gb0ZvRl9GX0ZfRl9GX0ZPRk9GT0ZPRk9GP0Y/Rj9GP0Y/Rj9GL0YvRi9GL0YvRi9GH0YfRh9GH0YfRh9GD0YPRg9GD0YPRg9F/0X/Rf9F/0X/Rf9F/0XvRe9F70XvRe9F70XvRd9F30XfRd9F30XfRc9Fz0XPRc9Fz0XPRc9Fz0W/Rb9Fv0W/Rb9Fv0W/Rb9Fr0WvRa9Fr0WvRa9Fr0WvRa9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRV9FX0VfRV9FX0VfRV9FT0VPRU9FT0VPRU9FT0U/RT9FP0U/RT9FP0U/RS9FL0UvRS9FL0UvRR9FH0UfRR9FH0UPRQ9FD0UPRQ9FD0T/RP9E/0T/RP9E70TvRO9E70TvRN9E30TfRN9E30TPRM9Ez0TPRL9Ev0S/RL9Er0SvRK9Er0SfRJ9En0SfRI9Ej0SPRI9Ej0R/RH9Ef0R/RG9Eb0RvRG9EX0RfRF9EX0RPRE9ET0Q/RD9EP0Q/RC9EL0QvRB9EH0QfRB9ED0QPRA9ED0P/Q/9D/0P/Q+9D70PvQ99D30PfQ99Dz0PPQ89Dv0O/Q79Dv0OvQ69Dr0OfQ59Dn0OfQ49Dj0OPQ49Df0N/Q39Db0NvQ29Db0NfQ19DX0NfQ09DT0NPQz9DP0M/Qz9DL0MvQy9DH0MfQx9DH0MPQw9DD0MPQv9C/0L/Qv9C70LvQu9C30LfQt9C30LPQs9Cz0LPQr9Cv0K/Qr9Cr0KvQq9Cr0KfQp9Cn0KfQo9Cj0KPQo9Cf0J/Qn9Cf0JvQm9Cb0JvQl9CX0JfQl9CX0JPQk9CT0JPQj9CP0I/Qj9CL0IvQi9CL0IfQh9CH0IfQh9CD0IPQg9CD0H/Qf9B/0H/Qf9B70HvQe9B70HvQd9B30HfQd9B30HPQc9Bz0HPQc9Bv0G/Qb9Bv0G/Qa9Br0GvQa9Br0GfQZ9Bn0GfQZ9Bj0GPQY9Bj0GPQX9Bf0F/QX9Bf0FvQW9Bb0FvQW9Bb0FfQV9BX0FfQV9BX0FPQU9BT0FPQU9BP0E/QT9BP0E/QS9BL0EvQS9BL0EfQR9BH0EfQR9BH0EPQQ9BD0EPQQ9A/0D/QP9A/0D/QP9A70DvQO9A70DvQO9A30DfQN9A30DfQM9Az0DPQM9Az0DPQL9Av0C/QL9Av0CvQK9Ar0CvQK9An0CfQJ9An0CfQI9Aj0CPQI9Aj0CPQH9Af0B/QH9Af0BvQG9Ab0BvQG9AX0BfQF9AX0BfQF9AT0BPQE9AT0BPQD9AP0A/QD9AP0A/QC9AL0AvQC9AL0AfQB9AH0AfQB9AD0APQA9AD0APP/8//z//P/8//z/vP+8/7z/vP+8/7z/fP98/3z/fP98/3z/PP88/zz/PP88/vz+/P78/vz+/P78/rz+vP68/rz+vP68/nz+fP58/nz+fP48/jz+PP48/jz+PP48/fz9/P38/fz9/P38/bz9vP28/bz9vP28/bz9vP18/Xz9fP18/Xz9fP18/Xz9PP08/Tz9PP08/Tz9PP08/Tz9PPz8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz8/Py8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz9PP08/Tz9PP08/Tz9PP08/Xz9fP18/Xz9fP18/Xz9vP28/bz9vP28/fz9/P38/fz9/P48/jz+PP48/nz+fP58/nz+vP68/rz+vP78/vz+/P88/zz/PP88/3z/fP98/7z/vP+8/7z//P/8//0APQA9AD0AfQB9AL0AvQC9AP0A/QE9AT0BPQF9AX0BfQG9Ab0B/QH9Af0CPQI9An0CfQK9Ar0C/QL9Az0DPQM9A30DfQO9A70D/QP9BD0EPQR9BH0EvQS9BP0E/QU9BT0FfQV9Bb0FvQX9Bf0GPQY9Bn0GvQa9Bv0G/Qc9Bz0HfQe9B70H/Qf9CD0IPQh9CL0IvQj9CP0JPQl9CX0JvQm9Cf0KPQo9Cn0KfQq9Cv0K/Qs9C30LfQu9C/0L/Qw9DD0MfQy9DL0M/Q09DT0NfQ29Db0N/Q39Dj0OfQ59Dr0O/Q79Dz0PfQ99D70P/Q/9ED0QPRB9EL0QvRD9ET0RPRF9Eb0RvRH9Ej0SPRJ9Er0SvRL9Ez0TPRN9E70TvRP9E/0UPRR9FH0UvRT9FP0VPRU9FX0VvRW9Ff0WPRY9Fn0WfRa9Fv0W/Rc9Fz0XfRe9F70X/Rf9GD0YfRh9GL0YvRj9GP0ZPRk9GX0ZvRm9Gf0Z/Ro9Gj0afRp9Gr0avRr9Gv0bPRs9G30bfRu9G/0b/Rw9HD0cfRx9HH0cvRy9HP0c/R09HT0dfR19HX0dvR29Hf0d/R49Hj0ePR59Hn0evR69Hr0e/R79Hv0fPR89Hz0ffR99H30fvR+9H70f/R/9H/0gPSA9ID0gfSB9IH0gfSC9IL0gvSC9IP0g/SD9IP0hPSE9IT0hPSE9IX0hfSF9IX0hfSG9Ib0hvSG9Ib0hvSH9If0h/SH9If0h/SI9Ij0iPSI9Ij0iPSI9Ij0iPSI9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9Ij0iPSI9Ij0iPSI9Ij0iPSI9Ij0iPSI9If0h/SH9If0h/SH9If0h/SG9Ib0hvSG9Ib0hvSG9IX0hfSF9IX0hfSF9IX0hPSE9IT0hPSE9IT0g/SD9IP0g/SD9IP0gvSC9IL0gvSC9IL0gfSB9IH0gfSB9IH0gPSA9ID0gPSA9H/0f/R/9H/0f/R+9H70fvR+9H70ffR99H30ffR89Hz0fPR89Hz0e/R79Hv0e/R79Hr0evR69Hr0evR59Hn0efR59Hn0ePR49Hj0ePR49Hf0d/R39Hf0dvR29Hb0dvR19HX0dfR19HX0dPR09HT0dPR09HP0c/Rz9HP0cvRy9HL0cvRy9HH0cfRx9HH0cfRw9HD0cPRw9HX0dfR19HX0dfR19HX0dfR09HT0dPR09HT0dPR09HT0dPR09HT0c/Rz9HP0c/Rz9HP0c/Rz9HP0c/Rz9HL0cvRy9HL0cvRy9HL0cvRy9HL0cvRy9HL0cfRx9HH0cfRx9HH0cfRx9HH0cfRx9HH0cPRw9HD0cPRw9HD0cPRw9HD0cPRw9HD0b/Rv9G/0b/Rv9G/0b/Rv9G/0b/Rv9G/0b/Ru9G70bvRu9G70bvRu9G70bvRu9G70bvRu9G30bfRt9G30bfRt9G30bfRt9G30bfRt9G30bfRt9Gz0bPRs9Gz0bPRs9Gz0bPRs9Gz0bPRs9Gz0bPRs9Gz0bPRr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZPRk9GT0ZPRk9GT0ZPRk9GT0ZPRk9GT0ZPRk9GT0ZPRk9GT0Y/Rj9GP0Y/Rj9GP0Y/Rj9GP0Y/Rj9GP0Y/Rj9GP0Y/Ri9GL0YvRi9GL0YvRi9GL0YvRi9GL0YvRi9GH0YfRh9GH0YfRh9GH0YfRh9GH0YfRh9GH0YfRg9GD0YPRg9GD0YPRg9GD0YPRg9GD0YPRf9F/0X/Rf9F/0X/Rf9F/0X/Rf9F70XvRe9F70XvRe9F70XvRe9F70XvRd9F30XfRd9F30XfRd9F30XPRc9Fz0XPRc9Fz0XPRc9Fz0XPRb9Fv0W/Rb9Fv0W/Rb9Fv0W/Ra9Fr0WvRa9Fr0WvRa9Fr0WvRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRY9Fj0WPRY9Fj0WPRY9Fj0WPRX9Ff0V/RX9Ff0V/RX9Ff0VvRW9Fb0VvRW9Fb0VvRW9FX0VfRV9FX0VfRV9FX0VPRU9FT0VPRU9FT0VPRU9FP0U/RT9FP0U/RT9FP0U/RS9FL0UvRS9FL0UvRS9FL0UfRR9FH0UfRR9FH0UfRR9FD0UPRQ9FD0UPRQ9FD0UPRQ9E/0T/RP9E/0T/RP9E/0TvRO9E70TvRO9E70TvRO9E30TfRN9E30TfRN9E30TfRM9Ez0TPRM9Ez0TPRM9Ev0S/RL9Ev0S/RL9Ev0S/RK9Er0SvRK9Er0SvRK9Er0SfRJ9En0SfRJ9En0SfRJ9En0SPRI9Ej0SPRI9Ej0SPRI9Ej0R/RH9Ef0R/RH9Ef0R/RH9Eb0RvRG9Eb0RvRG9Eb0RvRG9EX0RfRF9EX0RfRF9EX0RfRF9ET0RPRE9ET0RPRE9ET0RPRD9EP0Q/RD9EP0Q/RD9EP0Q/RC9EL0QvRC9EL0QvRC9EL0QvRC9EH0QfRB9EH0QfRB9EH0QfRB9EH0QfRA9ED0QPRA9ED0QPRA9ED0QPRA9ED0QPQ/9D/0P/Q/9D/0P/Q/9D/0P/Q/9D/0P/Q+9D70PvQ+9D70PvQ+9D70PvQ+9D70PvQ+9D30PfQ99D30PfQ99D30PfQ99D30PfQ99D30PfQ99Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ99D30PfQ99D30PfQ99D30PfQ99D30PfQ99D70PvQ+9D70PvQ+9D70PvQ+9D70P/Q/9D/0P/Q/9D/0P/Q/9D/0QPRA9ED0QPRA9ED0QPRA9ED0QPRB9EH0QfRB9EH0QfRB9EL0QvRC9EL0QvRC9EL0Q/RD9EP0Q/RD9EP0Q/RE9ET0RPRE9ET0RPRF9EX0RfRF9EX0RfRG9Eb0RvRG9Eb0RvRH9Ef0R/RH9Ef0R/RI9Ej0SPRI9Ej0SPRJ9En0SfRJ9En0SvRK9Er0SvRK9Ev0S/RL9Ev0S/RM9Ez0TPRM9Ez0TfRN9E30TfRO9E70TvRO9E70T/RP9E/0T/RP9FD0UPRQ9FD0UPRR9FH0UfRR9FL0UvRS9FL0UvRT9FP0U/RT9FT0VPRU9FT0VPRV9FX0VfRV9Fb0VvRW9Fb0V/RX9Ff0V/RY9Fj0WPRY9Fn0WfRZ9Fn0WfRa9Fr0WvRa9Fv0W/Rb9Fv0XPRc9Fz0XPRc9F30XfRd9F70XvRe9F70XvRf9F/0X/Rf9GD0YPRg9GD0YfRh9GH0YfRh9GL0YvRi9GL0Y/Rj9GP0Y/Rk9GT0ZPRk9GX0ZfRl9GX0ZvRm9Gb0ZvRm9Gf0Z/Rn9Gf0aPRo9Gj0aPRo9Gn0afRp9Gn0afRq9Gr0avRq9Gv0a/Rr9Gv0a/Rs9Gz0bPRs9Gz0bfRt9G30bfRt9G70bvRu9G70b/Rv9G/0b/Rv9HD0cPRw9HD0cPRx9HH0cfRx9HH0cfRy9HL0cvRy9HL0cvRz9HP0c/Rz9HP0c/R09HT0dPR09HT0dPR19HX0dfR19HX0dfR29Hb0dvR29Hb0dvR39Hf0d/R39Hf0d/R39Hj0ePR49Hj0ePR49Hj0ePR59Hn0efR59Hn0efR59Hn0evR69Hr0evR69Hr0evR69Hr0evR69Hv0e/R79Hv0e/R79Hv0e/R79Hv0e/R89Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR89Hz0ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR79Hv0e/R79Hv0e/R79Hv0e/R79Hv0e/R79Hv0e/R69Hr0evR69Hr0evR69Hr0evR69Hr0evR69Hr0efR59Hn0efR59Hn0efR59Hn0efR59Hn0ePR49Hj0ePR49Hj0ePR49Hj0ePR49Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R29Hb0dvR29Hb0dvR29Hb0dvR29HX0dfR19Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d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DataView(G.buffer,G.byteOffset,G.byteLength),U=(A,B)=>{return w=A*Y+B,M.getInt16(2*w,!1)/100;var w},T=A=>A*(Math.PI/180),X=(A,B=0)=>A-2*Math.PI*Math.floor((A+Math.PI-B)/(2*Math.PI)),s=T(.25),Y=1440;function x(A,B){const w=X(T(A));if(w>Math.PI||w<-Math.PI)throw new Error("Invalid latitude");const v=X(T(B));let Q=Math.floor((Math.PI/2-w)/s);Q=720===Q?Q-1:Q;const P=Q+1,f=Math.floor(X(v,Math.PI)/s),g=(f+1)%Y,C=U(Q,f),D=U(P,f),E=U(P,g),F=U(Q,g),H=X(f*s),I=Math.PI/2-Q*s;return r(C,D,E,F,(v-H)/s,(I-w)/s)}const r=(A,B,w,v,Q,P)=>{const f=R(A,v,Q),g=R(B,w,Q);return R(f,g,P)},R=(A,B,w)=>A+(B-A)*w;A.egm96ToEllipsoid=function(A,B,w){return w+x(A,B)},A.ellipsoidToEgm96=function(A,B,w){return w-x(A,B)},A.meanSeaLevel=x,Object.defineProperty(A,"__esModule",{value:!0})}));
+//# sourceMappingURL=egm96-universal-1.1.0.min.js.map
diff --git a/html/libs/ol-6.10.0.css b/html/libs/ol-6.10.0.css
new file mode 100644
index 0000000..3a33f5a
--- /dev/null
+++ b/html/libs/ol-6.10.0.css
@@ -0,0 +1,2 @@
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+/*# sourceMappingURL=ol.css.map */
\ No newline at end of file
diff --git a/html/libs/ol-643.css b/html/libs/ol-643.css
deleted file mode 100644
index 46aab9c..0000000
--- a/html/libs/ol-643.css
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/html/libs/ol-custom.js.map b/html/libs/ol-custom.js.map
deleted file mode 100644
index f627df2..0000000
--- a/html/libs/ol-custom.js.map
+++ /dev/null
@@ -1 +0,0 @@
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* @module ol/util\n */\n/**\n * @return {?} Any return.\n */\nexport function abstract() {\n    return /** @type {?} */ ((function () {\n        throw new Error('Unimplemented abstract method.');\n    })());\n}\n/**\n * Counter for getUid.\n * @type {number}\n * @private\n */\nvar uidCounter_ = 0;\n/**\n * Gets a unique ID for an object. This mutates the object so that further calls\n * with the same object as a parameter returns the same value. Unique IDs are generated\n * as a strictly increasing sequence. Adapted from goog.getUid.\n *\n * @param {Object} obj The object to get the unique ID for.\n * @return {string} The unique ID for the object.\n * @api\n */\nexport function getUid(obj) {\n    return obj.ol_uid || (obj.ol_uid = String(++uidCounter_));\n}\n/**\n * OpenLayers version.\n * @type {string}\n */\nexport var VERSION = '6.10.0';\n//# sourceMappingURL=util.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/AssertionError\n */\nimport { VERSION } from './util.js';\n/**\n * Error object thrown when an assertion failed. This is an ECMA-262 Error,\n * extended with a `code` property.\n * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Error.\n */\nvar AssertionError = /** @class */ (function (_super) {\n    __extends(AssertionError, _super);\n    /**\n     * @param {number} code Error code.\n     */\n    function AssertionError(code) {\n        var _this = this;\n        var path = VERSION === 'latest' ? VERSION : 'v' + VERSION.split('-')[0];\n        var message = 'Assertion failed. See https://openlayers.org/en/' +\n            path +\n            '/doc/errors/#' +\n            code +\n            ' for details.';\n        _this = _super.call(this, message) || this;\n        /**\n         * Error code. The meaning of the code can be found on\n         * https://openlayers.org/en/latest/doc/errors/ (replace `latest` with\n         * the version found in the OpenLayers script's header comment if a version\n         * other than the latest is used).\n         * @type {number}\n         * @api\n         */\n        _this.code = code;\n        /**\n         * @type {string}\n         */\n        _this.name = 'AssertionError';\n        // Re-assign message, see https://github.com/Rich-Harris/buble/issues/40\n        _this.message = message;\n        return _this;\n    }\n    return AssertionError;\n}(Error));\nexport default AssertionError;\n//# sourceMappingURL=AssertionError.js.map","/**\n * @module ol/events/Event\n */\n/**\n * @classdesc\n * Stripped down implementation of the W3C DOM Level 2 Event interface.\n * See https://www.w3.org/TR/DOM-Level-2-Events/events.html#Events-interface.\n *\n * This implementation only provides `type` and `target` properties, and\n * `stopPropagation` and `preventDefault` methods. It is meant as base class\n * for higher level events defined in the library, and works with\n * {@link module:ol/events/Target~Target}.\n */\nvar BaseEvent = /** @class */ (function () {\n    /**\n     * @param {string} type Type.\n     */\n    function BaseEvent(type) {\n        /**\n         * @type {boolean}\n         */\n        this.propagationStopped;\n        /**\n         * @type {boolean}\n         */\n        this.defaultPrevented;\n        /**\n         * The event type.\n         * @type {string}\n         * @api\n         */\n        this.type = type;\n        /**\n         * The event target.\n         * @type {Object}\n         * @api\n         */\n        this.target = null;\n    }\n    /**\n     * Prevent default. This means that no emulated `click`, `singleclick` or `doubleclick` events\n     * will be fired.\n     * @api\n     */\n    BaseEvent.prototype.preventDefault = function () {\n        this.defaultPrevented = true;\n    };\n    /**\n     * Stop event propagation.\n     * @api\n     */\n    BaseEvent.prototype.stopPropagation = function () {\n        this.propagationStopped = true;\n    };\n    return BaseEvent;\n}());\n/**\n * @param {Event|import(\"./Event.js\").default} evt Event\n */\nexport function stopPropagation(evt) {\n    evt.stopPropagation();\n}\n/**\n * @param {Event|import(\"./Event.js\").default} evt Event\n */\nexport function preventDefault(evt) {\n    evt.preventDefault();\n}\nexport default BaseEvent;\n//# sourceMappingURL=Event.js.map","/**\n * @module ol/ObjectEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered when a property is changed.\n     * @event module:ol/Object.ObjectEvent#propertychange\n     * @api\n     */\n    PROPERTYCHANGE: 'propertychange',\n};\n/**\n * @typedef {'propertychange'} Types\n */\n//# sourceMappingURL=ObjectEventType.js.map","/**\n * @module ol/Disposable\n */\n/**\n * @classdesc\n * Objects that need to clean up after themselves.\n */\nvar Disposable = /** @class */ (function () {\n    function Disposable() {\n        /**\n         * The object has already been disposed.\n         * @type {boolean}\n         * @protected\n         */\n        this.disposed = false;\n    }\n    /**\n     * Clean up.\n     */\n    Disposable.prototype.dispose = function () {\n        if (!this.disposed) {\n            this.disposed = true;\n            this.disposeInternal();\n        }\n    };\n    /**\n     * Extension point for disposable objects.\n     * @protected\n     */\n    Disposable.prototype.disposeInternal = function () { };\n    return Disposable;\n}());\nexport default Disposable;\n//# sourceMappingURL=Disposable.js.map","/**\n * @module ol/array\n */\n/**\n * Performs a binary search on the provided sorted list and returns the index of the item if found. If it can't be found it'll return -1.\n * https://github.com/darkskyapp/binary-search\n *\n * @param {Array<*>} haystack Items to search through.\n * @param {*} needle The item to look for.\n * @param {Function} [opt_comparator] Comparator function.\n * @return {number} The index of the item if found, -1 if not.\n */\nexport function binarySearch(haystack, needle, opt_comparator) {\n    var mid, cmp;\n    var comparator = opt_comparator || numberSafeCompareFunction;\n    var low = 0;\n    var high = haystack.length;\n    var found = false;\n    while (low < high) {\n        /* Note that \"(low + high) >>> 1\" may overflow, and results in a typecast\n         * to double (which gives the wrong results). */\n        mid = low + ((high - low) >> 1);\n        cmp = +comparator(haystack[mid], needle);\n        if (cmp < 0.0) {\n            /* Too low. */\n            low = mid + 1;\n        }\n        else {\n            /* Key found or too high */\n            high = mid;\n            found = !cmp;\n        }\n    }\n    /* Key not found. */\n    return found ? low : ~low;\n}\n/**\n * Compare function for array sort that is safe for numbers.\n * @param {*} a The first object to be compared.\n * @param {*} b The second object to be compared.\n * @return {number} A negative number, zero, or a positive number as the first\n *     argument is less than, equal to, or greater than the second.\n */\nexport function numberSafeCompareFunction(a, b) {\n    return a > b ? 1 : a < b ? -1 : 0;\n}\n/**\n * Whether the array contains the given object.\n * @param {Array<*>} arr The array to test for the presence of the element.\n * @param {*} obj The object for which to test.\n * @return {boolean} The object is in the array.\n */\nexport function includes(arr, obj) {\n    return arr.indexOf(obj) >= 0;\n}\n/**\n * {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution} can use a function\n * of this type to determine which nearest resolution to use.\n *\n * This function takes a `{number}` representing a value between two array entries,\n * a `{number}` representing the value of the nearest higher entry and\n * a `{number}` representing the value of the nearest lower entry\n * as arguments and returns a `{number}`. If a negative number or zero is returned\n * the lower value will be used, if a positive number is returned the higher value\n * will be used.\n * @typedef {function(number, number, number): number} NearestDirectionFunction\n * @api\n */\n/**\n * @param {Array<number>} arr Array in descending order.\n * @param {number} target Target.\n * @param {number|NearestDirectionFunction} direction\n *    0 means return the nearest,\n *    > 0 means return the largest nearest,\n *    < 0 means return the smallest nearest.\n * @return {number} Index.\n */\nexport function linearFindNearest(arr, target, direction) {\n    var n = arr.length;\n    if (arr[0] <= target) {\n        return 0;\n    }\n    else if (target <= arr[n - 1]) {\n        return n - 1;\n    }\n    else {\n        var i = void 0;\n        if (direction > 0) {\n            for (i = 1; i < n; ++i) {\n                if (arr[i] < target) {\n                    return i - 1;\n                }\n            }\n        }\n        else if (direction < 0) {\n            for (i = 1; i < n; ++i) {\n                if (arr[i] <= target) {\n                    return i;\n                }\n            }\n        }\n        else {\n            for (i = 1; i < n; ++i) {\n                if (arr[i] == target) {\n                    return i;\n                }\n                else if (arr[i] < target) {\n                    if (typeof direction === 'function') {\n                        if (direction(target, arr[i - 1], arr[i]) > 0) {\n                            return i - 1;\n                        }\n                        else {\n                            return i;\n                        }\n                    }\n                    else if (arr[i - 1] - target < target - arr[i]) {\n                        return i - 1;\n                    }\n                    else {\n                        return i;\n                    }\n                }\n            }\n        }\n        return n - 1;\n    }\n}\n/**\n * @param {Array<*>} arr Array.\n * @param {number} begin Begin index.\n * @param {number} end End index.\n */\nexport function reverseSubArray(arr, begin, end) {\n    while (begin < end) {\n        var tmp = arr[begin];\n        arr[begin] = arr[end];\n        arr[end] = tmp;\n        ++begin;\n        --end;\n    }\n}\n/**\n * @param {Array<VALUE>} arr The array to modify.\n * @param {!Array<VALUE>|VALUE} data The elements or arrays of elements to add to arr.\n * @template VALUE\n */\nexport function extend(arr, data) {\n    var extension = Array.isArray(data) ? data : [data];\n    var length = extension.length;\n    for (var i = 0; i < length; i++) {\n        arr[arr.length] = extension[i];\n    }\n}\n/**\n * @param {Array<VALUE>} arr The array to modify.\n * @param {VALUE} obj The element to remove.\n * @template VALUE\n * @return {boolean} If the element was removed.\n */\nexport function remove(arr, obj) {\n    var i = arr.indexOf(obj);\n    var found = i > -1;\n    if (found) {\n        arr.splice(i, 1);\n    }\n    return found;\n}\n/**\n * @param {Array<VALUE>} arr The array to search in.\n * @param {function(VALUE, number, ?) : boolean} func The function to compare.\n * @template VALUE\n * @return {VALUE|null} The element found or null.\n */\nexport function find(arr, func) {\n    var length = arr.length >>> 0;\n    var value;\n    for (var i = 0; i < length; i++) {\n        value = arr[i];\n        if (func(value, i, arr)) {\n            return value;\n        }\n    }\n    return null;\n}\n/**\n * @param {Array|Uint8ClampedArray} arr1 The first array to compare.\n * @param {Array|Uint8ClampedArray} arr2 The second array to compare.\n * @return {boolean} Whether the two arrays are equal.\n */\nexport function equals(arr1, arr2) {\n    var len1 = arr1.length;\n    if (len1 !== arr2.length) {\n        return false;\n    }\n    for (var i = 0; i < len1; i++) {\n        if (arr1[i] !== arr2[i]) {\n            return false;\n        }\n    }\n    return true;\n}\n/**\n * Sort the passed array such that the relative order of equal elements is preserved.\n * See https://en.wikipedia.org/wiki/Sorting_algorithm#Stability for details.\n * @param {Array<*>} arr The array to sort (modifies original).\n * @param {!function(*, *): number} compareFnc Comparison function.\n * @api\n */\nexport function stableSort(arr, compareFnc) {\n    var length = arr.length;\n    var tmp = Array(arr.length);\n    var i;\n    for (i = 0; i < length; i++) {\n        tmp[i] = { index: i, value: arr[i] };\n    }\n    tmp.sort(function (a, b) {\n        return compareFnc(a.value, b.value) || a.index - b.index;\n    });\n    for (i = 0; i < arr.length; i++) {\n        arr[i] = tmp[i].value;\n    }\n}\n/**\n * @param {Array<*>} arr The array to search in.\n * @param {Function} func Comparison function.\n * @return {number} Return index.\n */\nexport function findIndex(arr, func) {\n    var index;\n    var found = !arr.every(function (el, idx) {\n        index = idx;\n        return !func(el, idx, arr);\n    });\n    return found ? index : -1;\n}\n/**\n * @param {Array<*>} arr The array to test.\n * @param {Function} [opt_func] Comparison function.\n * @param {boolean} [opt_strict] Strictly sorted (default false).\n * @return {boolean} Return index.\n */\nexport function isSorted(arr, opt_func, opt_strict) {\n    var compare = opt_func || numberSafeCompareFunction;\n    return arr.every(function (currentVal, index) {\n        if (index === 0) {\n            return true;\n        }\n        var res = compare(arr[index - 1], currentVal);\n        return !(res > 0 || (opt_strict && res === 0));\n    });\n}\n//# sourceMappingURL=array.js.map","/**\n * @module ol/functions\n */\nimport { equals as arrayEquals } from './array.js';\n/**\n * Always returns true.\n * @return {boolean} true.\n */\nexport function TRUE() {\n    return true;\n}\n/**\n * Always returns false.\n * @return {boolean} false.\n */\nexport function FALSE() {\n    return false;\n}\n/**\n * A reusable function, used e.g. as a default for callbacks.\n *\n * @return {void} Nothing.\n */\nexport function VOID() { }\n/**\n * Wrap a function in another function that remembers the last return.  If the\n * returned function is called twice in a row with the same arguments and the same\n * this object, it will return the value from the first call in the second call.\n *\n * @param {function(...any): ReturnType} fn The function to memoize.\n * @return {function(...any): ReturnType} The memoized function.\n * @template ReturnType\n */\nexport function memoizeOne(fn) {\n    var called = false;\n    /** @type {ReturnType} */\n    var lastResult;\n    /** @type {Array<any>} */\n    var lastArgs;\n    var lastThis;\n    return function () {\n        var nextArgs = Array.prototype.slice.call(arguments);\n        if (!called || this !== lastThis || !arrayEquals(nextArgs, lastArgs)) {\n            called = true;\n            lastThis = this;\n            lastArgs = nextArgs;\n            lastResult = fn.apply(this, arguments);\n        }\n        return lastResult;\n    };\n}\n/**\n * @template T\n * @param {function(): (T | Promise<T>)} getter A function that returns a value or a promise for a value.\n * @return {Promise<T>} A promise for the value.\n */\nexport function toPromise(getter) {\n    function promiseGetter() {\n        var value;\n        try {\n            value = getter();\n        }\n        catch (err) {\n            return Promise.reject(err);\n        }\n        if (value instanceof Promise) {\n            return value;\n        }\n        return Promise.resolve(value);\n    }\n    return promiseGetter();\n}\n//# sourceMappingURL=functions.js.map","/**\n * @module ol/obj\n */\n/**\n * Polyfill for Object.assign().  Assigns enumerable and own properties from\n * one or more source objects to a target object.\n * See https://developer.mozilla.org/en/docs/Web/JavaScript/Reference/Global_Objects/Object/assign.\n *\n * @param {!Object} target The target object.\n * @param {...Object} var_sources The source object(s).\n * @return {!Object} The modified target object.\n */\nexport var assign = typeof Object.assign === 'function'\n    ? Object.assign\n    : function (target, var_sources) {\n        if (target === undefined || target === null) {\n            throw new TypeError('Cannot convert undefined or null to object');\n        }\n        var output = Object(target);\n        for (var i = 1, ii = arguments.length; i < ii; ++i) {\n            var source = arguments[i];\n            if (source !== undefined && source !== null) {\n                for (var key in source) {\n                    if (source.hasOwnProperty(key)) {\n                        output[key] = source[key];\n                    }\n                }\n            }\n        }\n        return output;\n    };\n/**\n * Removes all properties from an object.\n * @param {Object} object The object to clear.\n */\nexport function clear(object) {\n    for (var property in object) {\n        delete object[property];\n    }\n}\n/**\n * Polyfill for Object.values().  Get an array of property values from an object.\n * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Object/values\n *\n * @param {!Object<K,V>} object The object from which to get the values.\n * @return {!Array<V>} The property values.\n * @template K,V\n */\nexport var getValues = typeof Object.values === 'function'\n    ? Object.values\n    : function (object) {\n        var values = [];\n        for (var property in object) {\n            values.push(object[property]);\n        }\n        return values;\n    };\n/**\n * Determine if an object has any properties.\n * @param {Object} object The object to check.\n * @return {boolean} The object is empty.\n */\nexport function isEmpty(object) {\n    var property;\n    for (property in object) {\n        return false;\n    }\n    return !property;\n}\n//# sourceMappingURL=obj.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/events/Target\n */\nimport Disposable from '../Disposable.js';\nimport Event from './Event.js';\nimport { VOID } from '../functions.js';\nimport { clear } from '../obj.js';\n/**\n * @typedef {EventTarget|Target} EventTargetLike\n */\n/**\n * @classdesc\n * A simplified implementation of the W3C DOM Level 2 EventTarget interface.\n * See https://www.w3.org/TR/2000/REC-DOM-Level-2-Events-20001113/events.html#Events-EventTarget.\n *\n * There are two important simplifications compared to the specification:\n *\n * 1. The handling of `useCapture` in `addEventListener` and\n *    `removeEventListener`. There is no real capture model.\n * 2. The handling of `stopPropagation` and `preventDefault` on `dispatchEvent`.\n *    There is no event target hierarchy. When a listener calls\n *    `stopPropagation` or `preventDefault` on an event object, it means that no\n *    more listeners after this one will be called. Same as when the listener\n *    returns false.\n */\nvar Target = /** @class */ (function (_super) {\n    __extends(Target, _super);\n    /**\n     * @param {*} [opt_target] Default event target for dispatched events.\n     */\n    function Target(opt_target) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {*}\n         */\n        _this.eventTarget_ = opt_target;\n        /**\n         * @private\n         * @type {Object<string, number>}\n         */\n        _this.pendingRemovals_ = null;\n        /**\n         * @private\n         * @type {Object<string, number>}\n         */\n        _this.dispatching_ = null;\n        /**\n         * @private\n         * @type {Object<string, Array<import(\"../events.js\").Listener>>}\n         */\n        _this.listeners_ = null;\n        return _this;\n    }\n    /**\n     * @param {string} type Type.\n     * @param {import(\"../events.js\").Listener} listener Listener.\n     */\n    Target.prototype.addEventListener = function (type, listener) {\n        if (!type || !listener) {\n            return;\n        }\n        var listeners = this.listeners_ || (this.listeners_ = {});\n        var listenersForType = listeners[type] || (listeners[type] = []);\n        if (listenersForType.indexOf(listener) === -1) {\n            listenersForType.push(listener);\n        }\n    };\n    /**\n     * Dispatches an event and calls all listeners listening for events\n     * of this type. The event parameter can either be a string or an\n     * Object with a `type` property.\n     *\n     * @param {import(\"./Event.js\").default|string} event Event object.\n     * @return {boolean|undefined} `false` if anyone called preventDefault on the\n     *     event object or if any of the listeners returned false.\n     * @api\n     */\n    Target.prototype.dispatchEvent = function (event) {\n        /** @type {import(\"./Event.js\").default|Event} */\n        var evt = typeof event === 'string' ? new Event(event) : event;\n        var type = evt.type;\n        if (!evt.target) {\n            evt.target = this.eventTarget_ || this;\n        }\n        var listeners = this.listeners_ && this.listeners_[type];\n        var propagate;\n        if (listeners) {\n            var dispatching = this.dispatching_ || (this.dispatching_ = {});\n            var pendingRemovals = this.pendingRemovals_ || (this.pendingRemovals_ = {});\n            if (!(type in dispatching)) {\n                dispatching[type] = 0;\n                pendingRemovals[type] = 0;\n            }\n            ++dispatching[type];\n            for (var i = 0, ii = listeners.length; i < ii; ++i) {\n                if ('handleEvent' in listeners[i]) {\n                    propagate = /** @type {import(\"../events.js\").ListenerObject} */ (listeners[i]).handleEvent(evt);\n                }\n                else {\n                    propagate = /** @type {import(\"../events.js\").ListenerFunction} */ (listeners[i]).call(this, evt);\n                }\n                if (propagate === false || evt.propagationStopped) {\n                    propagate = false;\n                    break;\n                }\n            }\n            --dispatching[type];\n            if (dispatching[type] === 0) {\n                var pr = pendingRemovals[type];\n                delete pendingRemovals[type];\n                while (pr--) {\n                    this.removeEventListener(type, VOID);\n                }\n                delete dispatching[type];\n            }\n            return propagate;\n        }\n    };\n    /**\n     * Clean up.\n     */\n    Target.prototype.disposeInternal = function () {\n        this.listeners_ && clear(this.listeners_);\n    };\n    /**\n     * Get the listeners for a specified event type. Listeners are returned in the\n     * order that they will be called in.\n     *\n     * @param {string} type Type.\n     * @return {Array<import(\"../events.js\").Listener>|undefined} Listeners.\n     */\n    Target.prototype.getListeners = function (type) {\n        return (this.listeners_ && this.listeners_[type]) || undefined;\n    };\n    /**\n     * @param {string} [opt_type] Type. If not provided,\n     *     `true` will be returned if this event target has any listeners.\n     * @return {boolean} Has listeners.\n     */\n    Target.prototype.hasListener = function (opt_type) {\n        if (!this.listeners_) {\n            return false;\n        }\n        return opt_type\n            ? opt_type in this.listeners_\n            : Object.keys(this.listeners_).length > 0;\n    };\n    /**\n     * @param {string} type Type.\n     * @param {import(\"../events.js\").Listener} listener Listener.\n     */\n    Target.prototype.removeEventListener = function (type, listener) {\n        var listeners = this.listeners_ && this.listeners_[type];\n        if (listeners) {\n            var index = listeners.indexOf(listener);\n            if (index !== -1) {\n                if (this.pendingRemovals_ && type in this.pendingRemovals_) {\n                    // make listener a no-op, and remove later in #dispatchEvent()\n                    listeners[index] = VOID;\n                    ++this.pendingRemovals_[type];\n                }\n                else {\n                    listeners.splice(index, 1);\n                    if (listeners.length === 0) {\n                        delete this.listeners_[type];\n                    }\n                }\n            }\n        }\n    };\n    return Target;\n}(Disposable));\nexport default Target;\n//# sourceMappingURL=Target.js.map","/**\n * @module ol/events/EventType\n */\n/**\n * @enum {string}\n * @const\n */\nexport default {\n    /**\n     * Generic change event. Triggered when the revision counter is increased.\n     * @event module:ol/events/Event~BaseEvent#change\n     * @api\n     */\n    CHANGE: 'change',\n    /**\n     * Generic error event. Triggered when an error occurs.\n     * @event module:ol/events/Event~BaseEvent#error\n     * @api\n     */\n    ERROR: 'error',\n    BLUR: 'blur',\n    CLEAR: 'clear',\n    CONTEXTMENU: 'contextmenu',\n    CLICK: 'click',\n    DBLCLICK: 'dblclick',\n    DRAGENTER: 'dragenter',\n    DRAGOVER: 'dragover',\n    DROP: 'drop',\n    FOCUS: 'focus',\n    KEYDOWN: 'keydown',\n    KEYPRESS: 'keypress',\n    LOAD: 'load',\n    RESIZE: 'resize',\n    TOUCHMOVE: 'touchmove',\n    WHEEL: 'wheel',\n};\n//# sourceMappingURL=EventType.js.map","/**\n * @module ol/events\n */\nimport { clear } from './obj.js';\n/**\n * Key to use with {@link module:ol/Observable~Observable#unByKey}.\n * @typedef {Object} EventsKey\n * @property {ListenerFunction} listener Listener.\n * @property {import(\"./events/Target.js\").EventTargetLike} target Target.\n * @property {string} type Type.\n * @api\n */\n/**\n * Listener function. This function is called with an event object as argument.\n * When the function returns `false`, event propagation will stop.\n *\n * @typedef {function((Event|import(\"./events/Event.js\").default)): (void|boolean)} ListenerFunction\n * @api\n */\n/**\n * @typedef {Object} ListenerObject\n * @property {ListenerFunction} handleEvent HandleEvent listener function.\n */\n/**\n * @typedef {ListenerFunction|ListenerObject} Listener\n */\n/**\n * Registers an event listener on an event target. Inspired by\n * https://google.github.io/closure-library/api/source/closure/goog/events/events.js.src.html\n *\n * This function efficiently binds a `listener` to a `this` object, and returns\n * a key for use with {@link module:ol/events.unlistenByKey}.\n *\n * @param {import(\"./events/Target.js\").EventTargetLike} target Event target.\n * @param {string} type Event type.\n * @param {ListenerFunction} listener Listener.\n * @param {Object} [opt_this] Object referenced by the `this` keyword in the\n *     listener. Default is the `target`.\n * @param {boolean} [opt_once] If true, add the listener as one-off listener.\n * @return {EventsKey} Unique key for the listener.\n */\nexport function listen(target, type, listener, opt_this, opt_once) {\n    if (opt_this && opt_this !== target) {\n        listener = listener.bind(opt_this);\n    }\n    if (opt_once) {\n        var originalListener_1 = listener;\n        listener = function () {\n            target.removeEventListener(type, listener);\n            originalListener_1.apply(this, arguments);\n        };\n    }\n    var eventsKey = {\n        target: target,\n        type: type,\n        listener: listener,\n    };\n    target.addEventListener(type, listener);\n    return eventsKey;\n}\n/**\n * Registers a one-off event listener on an event target. Inspired by\n * https://google.github.io/closure-library/api/source/closure/goog/events/events.js.src.html\n *\n * This function efficiently binds a `listener` as self-unregistering listener\n * to a `this` object, and returns a key for use with\n * {@link module:ol/events.unlistenByKey} in case the listener needs to be\n * unregistered before it is called.\n *\n * When {@link module:ol/events.listen} is called with the same arguments after this\n * function, the self-unregistering listener will be turned into a permanent\n * listener.\n *\n * @param {import(\"./events/Target.js\").EventTargetLike} target Event target.\n * @param {string} type Event type.\n * @param {ListenerFunction} listener Listener.\n * @param {Object} [opt_this] Object referenced by the `this` keyword in the\n *     listener. Default is the `target`.\n * @return {EventsKey} Key for unlistenByKey.\n */\nexport function listenOnce(target, type, listener, opt_this) {\n    return listen(target, type, listener, opt_this, true);\n}\n/**\n * Unregisters event listeners on an event target. Inspired by\n * https://google.github.io/closure-library/api/source/closure/goog/events/events.js.src.html\n *\n * The argument passed to this function is the key returned from\n * {@link module:ol/events.listen} or {@link module:ol/events.listenOnce}.\n *\n * @param {EventsKey} key The key.\n */\nexport function unlistenByKey(key) {\n    if (key && key.target) {\n        key.target.removeEventListener(key.type, key.listener);\n        clear(key);\n    }\n}\n//# sourceMappingURL=events.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Observable\n */\nimport EventTarget from './events/Target.js';\nimport EventType from './events/EventType.js';\nimport { listen, listenOnce, unlistenByKey } from './events.js';\n/***\n * @template {string} Type\n * @template {Event|import(\"./events/Event.js\").default} EventClass\n * @template Return\n * @typedef {(type: Type, listener: (event: EventClass) => ?) => Return} OnSignature\n */\n/***\n * @template {string} Type\n * @template Return\n * @typedef {(type: Type[], listener: (event: Event|import(\"./events/Event\").default) => ?) => Return extends void ? void : Return[]} CombinedOnSignature\n */\n/**\n * @typedef {'change'|'error'} EventTypes\n */\n/***\n * @template Return\n * @typedef {OnSignature<EventTypes, import(\"./events/Event.js\").default, Return> & CombinedOnSignature<EventTypes, Return>} ObservableOnSignature\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * An event target providing convenient methods for listener registration\n * and unregistration. A generic `change` event is always available through\n * {@link module:ol/Observable~Observable#changed}.\n *\n * @fires import(\"./events/Event.js\").default\n * @api\n */\nvar Observable = /** @class */ (function (_super) {\n    __extends(Observable, _super);\n    function Observable() {\n        var _this = _super.call(this) || this;\n        _this.on =\n            /** @type {ObservableOnSignature<import(\"./events\").EventsKey>} */ (_this.onInternal);\n        _this.once =\n            /** @type {ObservableOnSignature<import(\"./events\").EventsKey>} */ (_this.onceInternal);\n        _this.un = /** @type {ObservableOnSignature<void>} */ (_this.unInternal);\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.revision_ = 0;\n        return _this;\n    }\n    /**\n     * Increases the revision counter and dispatches a 'change' event.\n     * @api\n     */\n    Observable.prototype.changed = function () {\n        ++this.revision_;\n        this.dispatchEvent(EventType.CHANGE);\n    };\n    /**\n     * Get the version number for this object.  Each time the object is modified,\n     * its version number will be incremented.\n     * @return {number} Revision.\n     * @api\n     */\n    Observable.prototype.getRevision = function () {\n        return this.revision_;\n    };\n    /**\n     * @param {string|Array<string>} type Type.\n     * @param {function((Event|import(\"./events/Event\").default)): ?} listener Listener.\n     * @return {import(\"./events.js\").EventsKey|Array<import(\"./events.js\").EventsKey>} Event key.\n     * @protected\n     */\n    Observable.prototype.onInternal = function (type, listener) {\n        if (Array.isArray(type)) {\n            var len = type.length;\n            var keys = new Array(len);\n            for (var i = 0; i < len; ++i) {\n                keys[i] = listen(this, type[i], listener);\n            }\n            return keys;\n        }\n        else {\n            return listen(this, /** @type {string} */ (type), listener);\n        }\n    };\n    /**\n     * @param {string|Array<string>} type Type.\n     * @param {function((Event|import(\"./events/Event\").default)): ?} listener Listener.\n     * @return {import(\"./events.js\").EventsKey|Array<import(\"./events.js\").EventsKey>} Event key.\n     * @protected\n     */\n    Observable.prototype.onceInternal = function (type, listener) {\n        var key;\n        if (Array.isArray(type)) {\n            var len = type.length;\n            key = new Array(len);\n            for (var i = 0; i < len; ++i) {\n                key[i] = listenOnce(this, type[i], listener);\n            }\n        }\n        else {\n            key = listenOnce(this, /** @type {string} */ (type), listener);\n        }\n        /** @type {Object} */ (listener).ol_key = key;\n        return key;\n    };\n    /**\n     * Unlisten for a certain type of event.\n     * @param {string|Array<string>} type Type.\n     * @param {function((Event|import(\"./events/Event\").default)): ?} listener Listener.\n     * @protected\n     */\n    Observable.prototype.unInternal = function (type, listener) {\n        var key = /** @type {Object} */ (listener).ol_key;\n        if (key) {\n            unByKey(key);\n        }\n        else if (Array.isArray(type)) {\n            for (var i = 0, ii = type.length; i < ii; ++i) {\n                this.removeEventListener(type[i], listener);\n            }\n        }\n        else {\n            this.removeEventListener(type, listener);\n        }\n    };\n    return Observable;\n}(EventTarget));\n/**\n * Listen for a certain type of event.\n * @function\n * @param {string|Array<string>} type The event type or array of event types.\n * @param {function((Event|import(\"./events/Event\").default)): ?} listener The listener function.\n * @return {import(\"./events.js\").EventsKey|Array<import(\"./events.js\").EventsKey>} Unique key for the listener. If\n *     called with an array of event types as the first argument, the return\n *     will be an array of keys.\n * @api\n */\nObservable.prototype.on;\n/**\n * Listen once for a certain type of event.\n * @function\n * @param {string|Array<string>} type The event type or array of event types.\n * @param {function((Event|import(\"./events/Event\").default)): ?} listener The listener function.\n * @return {import(\"./events.js\").EventsKey|Array<import(\"./events.js\").EventsKey>} Unique key for the listener. If\n *     called with an array of event types as the first argument, the return\n *     will be an array of keys.\n * @api\n */\nObservable.prototype.once;\n/**\n * Unlisten for a certain type of event.\n * @function\n * @param {string|Array<string>} type The event type or array of event types.\n * @param {function((Event|import(\"./events/Event\").default)): ?} listener The listener function.\n * @api\n */\nObservable.prototype.un;\n/**\n * Removes an event listener using the key returned by `on()` or `once()`.\n * @param {import(\"./events.js\").EventsKey|Array<import(\"./events.js\").EventsKey>} key The key returned by `on()`\n *     or `once()` (or an array of keys).\n * @api\n */\nexport function unByKey(key) {\n    if (Array.isArray(key)) {\n        for (var i = 0, ii = key.length; i < ii; ++i) {\n            unlistenByKey(key[i]);\n        }\n    }\n    else {\n        unlistenByKey(/** @type {import(\"./events.js\").EventsKey} */ (key));\n    }\n}\nexport default Observable;\n//# sourceMappingURL=Observable.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Object\n */\nimport Event from './events/Event.js';\nimport ObjectEventType from './ObjectEventType.js';\nimport Observable from './Observable.js';\nimport { assign, isEmpty } from './obj.js';\nimport { getUid } from './util.js';\n/**\n * @classdesc\n * Events emitted by {@link module:ol/Object~BaseObject} instances are instances of this type.\n */\nvar ObjectEvent = /** @class */ (function (_super) {\n    __extends(ObjectEvent, _super);\n    /**\n     * @param {string} type The event type.\n     * @param {string} key The property name.\n     * @param {*} oldValue The old value for `key`.\n     */\n    function ObjectEvent(type, key, oldValue) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The name of the property whose value is changing.\n         * @type {string}\n         * @api\n         */\n        _this.key = key;\n        /**\n         * The old value. To get the new value use `e.target.get(e.key)` where\n         * `e` is the event object.\n         * @type {*}\n         * @api\n         */\n        _this.oldValue = oldValue;\n        return _this;\n    }\n    return ObjectEvent;\n}(Event));\nexport { ObjectEvent };\n/***\n * @template Return\n * @typedef {import(\"./Observable\").OnSignature<import(\"./Observable\").EventTypes, import(\"./events/Event.js\").default, Return> &\n *    import(\"./Observable\").OnSignature<import(\"./ObjectEventType\").Types, ObjectEvent, Return> &\n *    import(\"./Observable\").CombinedOnSignature<import(\"./Observable\").EventTypes|import(\"./ObjectEventType\").Types, Return>} ObjectOnSignature\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Most non-trivial classes inherit from this.\n *\n * This extends {@link module:ol/Observable} with observable\n * properties, where each property is observable as well as the object as a\n * whole.\n *\n * Classes that inherit from this have pre-defined properties, to which you can\n * add your owns. The pre-defined properties are listed in this documentation as\n * 'Observable Properties', and have their own accessors; for example,\n * {@link module:ol/Map~Map} has a `target` property, accessed with\n * `getTarget()` and changed with `setTarget()`. Not all properties are however\n * settable. There are also general-purpose accessors `get()` and `set()`. For\n * example, `get('target')` is equivalent to `getTarget()`.\n *\n * The `set` accessors trigger a change event, and you can monitor this by\n * registering a listener. For example, {@link module:ol/View~View} has a\n * `center` property, so `view.on('change:center', function(evt) {...});` would\n * call the function whenever the value of the center property changes. Within\n * the function, `evt.target` would be the view, so `evt.target.getCenter()`\n * would return the new center.\n *\n * You can add your own observable properties with\n * `object.set('prop', 'value')`, and retrieve that with `object.get('prop')`.\n * You can listen for changes on that property value with\n * `object.on('change:prop', listener)`. You can get a list of all\n * properties with {@link module:ol/Object~BaseObject#getProperties}.\n *\n * Note that the observable properties are separate from standard JS properties.\n * You can, for example, give your map object a title with\n * `map.title='New title'` and with `map.set('title', 'Another title')`. The\n * first will be a `hasOwnProperty`; the second will appear in\n * `getProperties()`. Only the second is observable.\n *\n * Properties can be deleted by using the unset method. E.g.\n * object.unset('foo').\n *\n * @fires ObjectEvent\n * @api\n */\nvar BaseObject = /** @class */ (function (_super) {\n    __extends(BaseObject, _super);\n    /**\n     * @param {Object<string, *>} [opt_values] An object with key-value pairs.\n     */\n    function BaseObject(opt_values) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {ObjectOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ObjectOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ObjectOnSignature<void>}\n         */\n        _this.un;\n        // Call {@link module:ol/util.getUid} to ensure that the order of objects' ids is\n        // the same as the order in which they were created.  This also helps to\n        // ensure that object properties are always added in the same order, which\n        // helps many JavaScript engines generate faster code.\n        getUid(_this);\n        /**\n         * @private\n         * @type {Object<string, *>}\n         */\n        _this.values_ = null;\n        if (opt_values !== undefined) {\n            _this.setProperties(opt_values);\n        }\n        return _this;\n    }\n    /**\n     * Gets a value.\n     * @param {string} key Key name.\n     * @return {*} Value.\n     * @api\n     */\n    BaseObject.prototype.get = function (key) {\n        var value;\n        if (this.values_ && this.values_.hasOwnProperty(key)) {\n            value = this.values_[key];\n        }\n        return value;\n    };\n    /**\n     * Get a list of object property names.\n     * @return {Array<string>} List of property names.\n     * @api\n     */\n    BaseObject.prototype.getKeys = function () {\n        return (this.values_ && Object.keys(this.values_)) || [];\n    };\n    /**\n     * Get an object of all property names and values.\n     * @return {Object<string, *>} Object.\n     * @api\n     */\n    BaseObject.prototype.getProperties = function () {\n        return (this.values_ && assign({}, this.values_)) || {};\n    };\n    /**\n     * @return {boolean} The object has properties.\n     */\n    BaseObject.prototype.hasProperties = function () {\n        return !!this.values_;\n    };\n    /**\n     * @param {string} key Key name.\n     * @param {*} oldValue Old value.\n     */\n    BaseObject.prototype.notify = function (key, oldValue) {\n        var eventType;\n        eventType = \"change:\" + key;\n        this.dispatchEvent(new ObjectEvent(eventType, key, oldValue));\n        eventType = ObjectEventType.PROPERTYCHANGE;\n        this.dispatchEvent(new ObjectEvent(eventType, key, oldValue));\n    };\n    /**\n     * @param {string} key Key name.\n     * @param {import(\"./events.js\").Listener} listener Listener.\n     */\n    BaseObject.prototype.addChangeListener = function (key, listener) {\n        this.addEventListener(\"change:\" + key, listener);\n    };\n    /**\n     * @param {string} key Key name.\n     * @param {import(\"./events.js\").Listener} listener Listener.\n     */\n    BaseObject.prototype.removeChangeListener = function (key, listener) {\n        this.removeEventListener(\"change:\" + key, listener);\n    };\n    /**\n     * Sets a value.\n     * @param {string} key Key name.\n     * @param {*} value Value.\n     * @param {boolean} [opt_silent] Update without triggering an event.\n     * @api\n     */\n    BaseObject.prototype.set = function (key, value, opt_silent) {\n        var values = this.values_ || (this.values_ = {});\n        if (opt_silent) {\n            values[key] = value;\n        }\n        else {\n            var oldValue = values[key];\n            values[key] = value;\n            if (oldValue !== value) {\n                this.notify(key, oldValue);\n            }\n        }\n    };\n    /**\n     * Sets a collection of key-value pairs.  Note that this changes any existing\n     * properties and adds new ones (it does not remove any existing properties).\n     * @param {Object<string, *>} values Values.\n     * @param {boolean} [opt_silent] Update without triggering an event.\n     * @api\n     */\n    BaseObject.prototype.setProperties = function (values, opt_silent) {\n        for (var key in values) {\n            this.set(key, values[key], opt_silent);\n        }\n    };\n    /**\n     * Apply any properties from another object without triggering events.\n     * @param {BaseObject} source The source object.\n     * @protected\n     */\n    BaseObject.prototype.applyProperties = function (source) {\n        if (!source.values_) {\n            return;\n        }\n        assign(this.values_ || (this.values_ = {}), source.values_);\n    };\n    /**\n     * Unsets a property.\n     * @param {string} key Key name.\n     * @param {boolean} [opt_silent] Unset without triggering an event.\n     * @api\n     */\n    BaseObject.prototype.unset = function (key, opt_silent) {\n        if (this.values_ && key in this.values_) {\n            var oldValue = this.values_[key];\n            delete this.values_[key];\n            if (isEmpty(this.values_)) {\n                this.values_ = null;\n            }\n            if (!opt_silent) {\n                this.notify(key, oldValue);\n            }\n        }\n    };\n    return BaseObject;\n}(Observable));\nexport default BaseObject;\n//# sourceMappingURL=Object.js.map","/**\n * @module ol/CollectionEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered when an item is added to the collection.\n     * @event module:ol/Collection.CollectionEvent#add\n     * @api\n     */\n    ADD: 'add',\n    /**\n     * Triggered when an item is removed from the collection.\n     * @event module:ol/Collection.CollectionEvent#remove\n     * @api\n     */\n    REMOVE: 'remove',\n};\n//# sourceMappingURL=CollectionEventType.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Collection\n */\nimport AssertionError from './AssertionError.js';\nimport BaseObject from './Object.js';\nimport CollectionEventType from './CollectionEventType.js';\nimport Event from './events/Event.js';\n/**\n * @enum {string}\n * @private\n */\nvar Property = {\n    LENGTH: 'length',\n};\n/**\n * @classdesc\n * Events emitted by {@link module:ol/Collection~Collection} instances are instances of this\n * type.\n */\nvar CollectionEvent = /** @class */ (function (_super) {\n    __extends(CollectionEvent, _super);\n    /**\n     * @param {import(\"./CollectionEventType.js\").default} type Type.\n     * @param {*} [opt_element] Element.\n     * @param {number} [opt_index] The index of the added or removed element.\n     */\n    function CollectionEvent(type, opt_element, opt_index) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The element that is added to or removed from the collection.\n         * @type {*}\n         * @api\n         */\n        _this.element = opt_element;\n        /**\n         * The index of the added or removed element.\n         * @type {number}\n         * @api\n         */\n        _this.index = opt_index;\n        return _this;\n    }\n    return CollectionEvent;\n}(Event));\nexport { CollectionEvent };\n/***\n * @template Return\n * @typedef {import(\"./Observable\").OnSignature<import(\"./Observable\").EventTypes, import(\"./events/Event.js\").default, Return> &\n *   import(\"./Observable\").OnSignature<import(\"./ObjectEventType\").Types|'change:length', import(\"./Object\").ObjectEvent, Return> &\n *   import(\"./Observable\").OnSignature<'add'|'remove', CollectionEvent, Return> &\n *   import(\"./Observable\").CombinedOnSignature<import(\"./Observable\").EventTypes|import(\"./ObjectEventType\").Types|\n *     'change:length'|'add'|'remove',Return>} CollectionOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {boolean} [unique=false] Disallow the same item from being added to\n * the collection twice.\n */\n/**\n * @classdesc\n * An expanded version of standard JS Array, adding convenience methods for\n * manipulation. Add and remove changes to the Collection trigger a Collection\n * event. Note that this does not cover changes to the objects _within_ the\n * Collection; they trigger events on the appropriate object, not on the\n * Collection as a whole.\n *\n * @fires CollectionEvent\n *\n * @template T\n * @api\n */\nvar Collection = /** @class */ (function (_super) {\n    __extends(Collection, _super);\n    /**\n     * @param {Array<T>} [opt_array] Array.\n     * @param {Options} [opt_options] Collection options.\n     */\n    function Collection(opt_array, opt_options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {CollectionOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {CollectionOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {CollectionOnSignature<void>}\n         */\n        _this.un;\n        var options = opt_options || {};\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.unique_ = !!options.unique;\n        /**\n         * @private\n         * @type {!Array<T>}\n         */\n        _this.array_ = opt_array ? opt_array : [];\n        if (_this.unique_) {\n            for (var i = 0, ii = _this.array_.length; i < ii; ++i) {\n                _this.assertUnique_(_this.array_[i], i);\n            }\n        }\n        _this.updateLength_();\n        return _this;\n    }\n    /**\n     * Remove all elements from the collection.\n     * @api\n     */\n    Collection.prototype.clear = function () {\n        while (this.getLength() > 0) {\n            this.pop();\n        }\n    };\n    /**\n     * Add elements to the collection.  This pushes each item in the provided array\n     * to the end of the collection.\n     * @param {!Array<T>} arr Array.\n     * @return {Collection<T>} This collection.\n     * @api\n     */\n    Collection.prototype.extend = function (arr) {\n        for (var i = 0, ii = arr.length; i < ii; ++i) {\n            this.push(arr[i]);\n        }\n        return this;\n    };\n    /**\n     * Iterate over each element, calling the provided callback.\n     * @param {function(T, number, Array<T>): *} f The function to call\n     *     for every element. This function takes 3 arguments (the element, the\n     *     index and the array). The return value is ignored.\n     * @api\n     */\n    Collection.prototype.forEach = function (f) {\n        var array = this.array_;\n        for (var i = 0, ii = array.length; i < ii; ++i) {\n            f(array[i], i, array);\n        }\n    };\n    /**\n     * Get a reference to the underlying Array object. Warning: if the array\n     * is mutated, no events will be dispatched by the collection, and the\n     * collection's \"length\" property won't be in sync with the actual length\n     * of the array.\n     * @return {!Array<T>} Array.\n     * @api\n     */\n    Collection.prototype.getArray = function () {\n        return this.array_;\n    };\n    /**\n     * Get the element at the provided index.\n     * @param {number} index Index.\n     * @return {T} Element.\n     * @api\n     */\n    Collection.prototype.item = function (index) {\n        return this.array_[index];\n    };\n    /**\n     * Get the length of this collection.\n     * @return {number} The length of the array.\n     * @observable\n     * @api\n     */\n    Collection.prototype.getLength = function () {\n        return this.get(Property.LENGTH);\n    };\n    /**\n     * Insert an element at the provided index.\n     * @param {number} index Index.\n     * @param {T} elem Element.\n     * @api\n     */\n    Collection.prototype.insertAt = function (index, elem) {\n        if (this.unique_) {\n            this.assertUnique_(elem);\n        }\n        this.array_.splice(index, 0, elem);\n        this.updateLength_();\n        this.dispatchEvent(new CollectionEvent(CollectionEventType.ADD, elem, index));\n    };\n    /**\n     * Remove the last element of the collection and return it.\n     * Return `undefined` if the collection is empty.\n     * @return {T|undefined} Element.\n     * @api\n     */\n    Collection.prototype.pop = function () {\n        return this.removeAt(this.getLength() - 1);\n    };\n    /**\n     * Insert the provided element at the end of the collection.\n     * @param {T} elem Element.\n     * @return {number} New length of the collection.\n     * @api\n     */\n    Collection.prototype.push = function (elem) {\n        if (this.unique_) {\n            this.assertUnique_(elem);\n        }\n        var n = this.getLength();\n        this.insertAt(n, elem);\n        return this.getLength();\n    };\n    /**\n     * Remove the first occurrence of an element from the collection.\n     * @param {T} elem Element.\n     * @return {T|undefined} The removed element or undefined if none found.\n     * @api\n     */\n    Collection.prototype.remove = function (elem) {\n        var arr = this.array_;\n        for (var i = 0, ii = arr.length; i < ii; ++i) {\n            if (arr[i] === elem) {\n                return this.removeAt(i);\n            }\n        }\n        return undefined;\n    };\n    /**\n     * Remove the element at the provided index and return it.\n     * Return `undefined` if the collection does not contain this index.\n     * @param {number} index Index.\n     * @return {T|undefined} Value.\n     * @api\n     */\n    Collection.prototype.removeAt = function (index) {\n        var prev = this.array_[index];\n        this.array_.splice(index, 1);\n        this.updateLength_();\n        this.dispatchEvent(new CollectionEvent(CollectionEventType.REMOVE, prev, index));\n        return prev;\n    };\n    /**\n     * Set the element at the provided index.\n     * @param {number} index Index.\n     * @param {T} elem Element.\n     * @api\n     */\n    Collection.prototype.setAt = function (index, elem) {\n        var n = this.getLength();\n        if (index < n) {\n            if (this.unique_) {\n                this.assertUnique_(elem, index);\n            }\n            var prev = this.array_[index];\n            this.array_[index] = elem;\n            this.dispatchEvent(new CollectionEvent(CollectionEventType.REMOVE, prev, index));\n            this.dispatchEvent(new CollectionEvent(CollectionEventType.ADD, elem, index));\n        }\n        else {\n            for (var j = n; j < index; ++j) {\n                this.insertAt(j, undefined);\n            }\n            this.insertAt(index, elem);\n        }\n    };\n    /**\n     * @private\n     */\n    Collection.prototype.updateLength_ = function () {\n        this.set(Property.LENGTH, this.array_.length);\n    };\n    /**\n     * @private\n     * @param {T} elem Element.\n     * @param {number} [opt_except] Optional index to ignore.\n     */\n    Collection.prototype.assertUnique_ = function (elem, opt_except) {\n        for (var i = 0, ii = this.array_.length; i < ii; ++i) {\n            if (this.array_[i] === elem && i !== opt_except) {\n                throw new AssertionError(58);\n            }\n        }\n    };\n    return Collection;\n}(BaseObject));\nexport default Collection;\n//# sourceMappingURL=Collection.js.map","/**\n * @module ol/asserts\n */\nimport AssertionError from './AssertionError.js';\n/**\n * @param {*} assertion Assertion we expected to be truthy.\n * @param {number} errorCode Error code.\n */\nexport function assert(assertion, errorCode) {\n    if (!assertion) {\n        throw new AssertionError(errorCode);\n    }\n}\n//# sourceMappingURL=asserts.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Feature\n */\nimport BaseObject from './Object.js';\nimport EventType from './events/EventType.js';\nimport { assert } from './asserts.js';\nimport { listen, unlistenByKey } from './events.js';\n/**\n * @typedef {typeof Feature|typeof import(\"./render/Feature.js\").default} FeatureClass\n */\n/**\n * @typedef {Feature<import(\"./geom/Geometry.js\").default>|import(\"./render/Feature.js\").default} FeatureLike\n */\n/***\n * @template Return\n * @typedef {import(\"./Observable\").OnSignature<import(\"./Observable\").EventTypes, import(\"./events/Event.js\").default, Return> &\n *   import(\"./Observable\").OnSignature<import(\"./ObjectEventType\").Types|'change:geometry', import(\"./Object\").ObjectEvent, Return> &\n *   import(\"./Observable\").CombinedOnSignature<import(\"./Observable\").EventTypes|import(\"./ObjectEventType\").Types\n *     |'change:geometry', Return>} FeatureOnSignature\n */\n/***\n * @template Geometry\n * @typedef {Object<string, *> & { geometry?: Geometry }} ObjectWithGeometry\n */\n/**\n * @classdesc\n * A vector object for geographic features with a geometry and other\n * attribute properties, similar to the features in vector file formats like\n * GeoJSON.\n *\n * Features can be styled individually with `setStyle`; otherwise they use the\n * style of their vector layer.\n *\n * Note that attribute properties are set as {@link module:ol/Object} properties on\n * the feature object, so they are observable, and have get/set accessors.\n *\n * Typically, a feature has a single geometry property. You can set the\n * geometry using the `setGeometry` method and get it with `getGeometry`.\n * It is possible to store more than one geometry on a feature using attribute\n * properties. By default, the geometry used for rendering is identified by\n * the property name `geometry`. If you want to use another geometry property\n * for rendering, use the `setGeometryName` method to change the attribute\n * property associated with the geometry for the feature.  For example:\n *\n * ```js\n *\n * import Feature from 'ol/Feature';\n * import Polygon from 'ol/geom/Polygon';\n * import Point from 'ol/geom/Point';\n *\n * var feature = new Feature({\n *   geometry: new Polygon(polyCoords),\n *   labelPoint: new Point(labelCoords),\n *   name: 'My Polygon'\n * });\n *\n * // get the polygon geometry\n * var poly = feature.getGeometry();\n *\n * // Render the feature as a point using the coordinates from labelPoint\n * feature.setGeometryName('labelPoint');\n *\n * // get the point geometry\n * var point = feature.getGeometry();\n * ```\n *\n * @api\n * @template {import(\"./geom/Geometry.js\").default} Geometry\n */\nvar Feature = /** @class */ (function (_super) {\n    __extends(Feature, _super);\n    /**\n     * @param {Geometry|ObjectWithGeometry<Geometry>} [opt_geometryOrProperties]\n     *     You may pass a Geometry object directly, or an object literal containing\n     *     properties. If you pass an object literal, you may include a Geometry\n     *     associated with a `geometry` key.\n     */\n    function Feature(opt_geometryOrProperties) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {FeatureOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {FeatureOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {FeatureOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {number|string|undefined}\n         */\n        _this.id_ = undefined;\n        /**\n         * @type {string}\n         * @private\n         */\n        _this.geometryName_ = 'geometry';\n        /**\n         * User provided style.\n         * @private\n         * @type {import(\"./style/Style.js\").StyleLike}\n         */\n        _this.style_ = null;\n        /**\n         * @private\n         * @type {import(\"./style/Style.js\").StyleFunction|undefined}\n         */\n        _this.styleFunction_ = undefined;\n        /**\n         * @private\n         * @type {?import(\"./events.js\").EventsKey}\n         */\n        _this.geometryChangeKey_ = null;\n        _this.addChangeListener(_this.geometryName_, _this.handleGeometryChanged_);\n        if (opt_geometryOrProperties) {\n            if (typeof (\n            /** @type {?} */ (opt_geometryOrProperties).getSimplifiedGeometry) === 'function') {\n                var geometry = /** @type {Geometry} */ (opt_geometryOrProperties);\n                _this.setGeometry(geometry);\n            }\n            else {\n                /** @type {Object<string, *>} */\n                var properties = opt_geometryOrProperties;\n                _this.setProperties(properties);\n            }\n        }\n        return _this;\n    }\n    /**\n     * Clone this feature. If the original feature has a geometry it\n     * is also cloned. The feature id is not set in the clone.\n     * @return {Feature<Geometry>} The clone.\n     * @api\n     */\n    Feature.prototype.clone = function () {\n        var clone = /** @type {Feature<Geometry>} */ (new Feature(this.hasProperties() ? this.getProperties() : null));\n        clone.setGeometryName(this.getGeometryName());\n        var geometry = this.getGeometry();\n        if (geometry) {\n            clone.setGeometry(/** @type {Geometry} */ (geometry.clone()));\n        }\n        var style = this.getStyle();\n        if (style) {\n            clone.setStyle(style);\n        }\n        return clone;\n    };\n    /**\n     * Get the feature's default geometry.  A feature may have any number of named\n     * geometries.  The \"default\" geometry (the one that is rendered by default) is\n     * set when calling {@link module:ol/Feature~Feature#setGeometry}.\n     * @return {Geometry|undefined} The default geometry for the feature.\n     * @api\n     * @observable\n     */\n    Feature.prototype.getGeometry = function () {\n        return /** @type {Geometry|undefined} */ (this.get(this.geometryName_));\n    };\n    /**\n     * Get the feature identifier.  This is a stable identifier for the feature and\n     * is either set when reading data from a remote source or set explicitly by\n     * calling {@link module:ol/Feature~Feature#setId}.\n     * @return {number|string|undefined} Id.\n     * @api\n     */\n    Feature.prototype.getId = function () {\n        return this.id_;\n    };\n    /**\n     * Get the name of the feature's default geometry.  By default, the default\n     * geometry is named `geometry`.\n     * @return {string} Get the property name associated with the default geometry\n     *     for this feature.\n     * @api\n     */\n    Feature.prototype.getGeometryName = function () {\n        return this.geometryName_;\n    };\n    /**\n     * Get the feature's style. Will return what was provided to the\n     * {@link module:ol/Feature~Feature#setStyle} method.\n     * @return {import(\"./style/Style.js\").StyleLike|undefined} The feature style.\n     * @api\n     */\n    Feature.prototype.getStyle = function () {\n        return this.style_;\n    };\n    /**\n     * Get the feature's style function.\n     * @return {import(\"./style/Style.js\").StyleFunction|undefined} Return a function\n     * representing the current style of this feature.\n     * @api\n     */\n    Feature.prototype.getStyleFunction = function () {\n        return this.styleFunction_;\n    };\n    /**\n     * @private\n     */\n    Feature.prototype.handleGeometryChange_ = function () {\n        this.changed();\n    };\n    /**\n     * @private\n     */\n    Feature.prototype.handleGeometryChanged_ = function () {\n        if (this.geometryChangeKey_) {\n            unlistenByKey(this.geometryChangeKey_);\n            this.geometryChangeKey_ = null;\n        }\n        var geometry = this.getGeometry();\n        if (geometry) {\n            this.geometryChangeKey_ = listen(geometry, EventType.CHANGE, this.handleGeometryChange_, this);\n        }\n        this.changed();\n    };\n    /**\n     * Set the default geometry for the feature.  This will update the property\n     * with the name returned by {@link module:ol/Feature~Feature#getGeometryName}.\n     * @param {Geometry|undefined} geometry The new geometry.\n     * @api\n     * @observable\n     */\n    Feature.prototype.setGeometry = function (geometry) {\n        this.set(this.geometryName_, geometry);\n    };\n    /**\n     * Set the style for the feature to override the layer style.  This can be a\n     * single style object, an array of styles, or a function that takes a\n     * resolution and returns an array of styles. To unset the feature style, call\n     * `setStyle()` without arguments or a falsey value.\n     * @param {import(\"./style/Style.js\").StyleLike} [opt_style] Style for this feature.\n     * @api\n     * @fires module:ol/events/Event~BaseEvent#event:change\n     */\n    Feature.prototype.setStyle = function (opt_style) {\n        this.style_ = opt_style;\n        this.styleFunction_ = !opt_style\n            ? undefined\n            : createStyleFunction(opt_style);\n        this.changed();\n    };\n    /**\n     * Set the feature id.  The feature id is considered stable and may be used when\n     * requesting features or comparing identifiers returned from a remote source.\n     * The feature id can be used with the\n     * {@link module:ol/source/Vector~VectorSource#getFeatureById} method.\n     * @param {number|string|undefined} id The feature id.\n     * @api\n     * @fires module:ol/events/Event~BaseEvent#event:change\n     */\n    Feature.prototype.setId = function (id) {\n        this.id_ = id;\n        this.changed();\n    };\n    /**\n     * Set the property name to be used when getting the feature's default geometry.\n     * When calling {@link module:ol/Feature~Feature#getGeometry}, the value of the property with\n     * this name will be returned.\n     * @param {string} name The property name of the default geometry.\n     * @api\n     */\n    Feature.prototype.setGeometryName = function (name) {\n        this.removeChangeListener(this.geometryName_, this.handleGeometryChanged_);\n        this.geometryName_ = name;\n        this.addChangeListener(this.geometryName_, this.handleGeometryChanged_);\n        this.handleGeometryChanged_();\n    };\n    return Feature;\n}(BaseObject));\n/**\n * Convert the provided object into a feature style function.  Functions passed\n * through unchanged.  Arrays of Style or single style objects wrapped\n * in a new feature style function.\n * @param {!import(\"./style/Style.js\").StyleFunction|!Array<import(\"./style/Style.js\").default>|!import(\"./style/Style.js\").default} obj\n *     A feature style function, a single style, or an array of styles.\n * @return {import(\"./style/Style.js\").StyleFunction} A style function.\n */\nexport function createStyleFunction(obj) {\n    if (typeof obj === 'function') {\n        return obj;\n    }\n    else {\n        /**\n         * @type {Array<import(\"./style/Style.js\").default>}\n         */\n        var styles_1;\n        if (Array.isArray(obj)) {\n            styles_1 = obj;\n        }\n        else {\n            assert(typeof ( /** @type {?} */(obj).getZIndex) === 'function', 41); // Expected an `import(\"./style/Style.js\").Style` or an array of `import(\"./style/Style.js\").Style`\n            var style = /** @type {import(\"./style/Style.js\").default} */ (obj);\n            styles_1 = [style];\n        }\n        return function () {\n            return styles_1;\n        };\n    }\n}\nexport default Feature;\n//# sourceMappingURL=Feature.js.map","/**\n * @module ol/geom/GeometryLayout\n */\n/**\n * The coordinate layout for geometries, indicating whether a 3rd or 4th z ('Z')\n * or measure ('M') coordinate is available. Supported values are `'XY'`,\n * `'XYZ'`, `'XYM'`, `'XYZM'`.\n * @enum {string}\n */\nexport default {\n    XY: 'XY',\n    XYZ: 'XYZ',\n    XYM: 'XYM',\n    XYZM: 'XYZM',\n};\n//# sourceMappingURL=GeometryLayout.js.map","/**\n * @module ol/geom/GeometryType\n */\n/**\n * The geometry type. One of `'Point'`, `'LineString'`, `'LinearRing'`,\n * `'Polygon'`, `'MultiPoint'`, `'MultiLineString'`, `'MultiPolygon'`,\n * `'GeometryCollection'`, `'Circle'`.\n * @enum {string}\n */\nexport default {\n    POINT: 'Point',\n    LINE_STRING: 'LineString',\n    LINEAR_RING: 'LinearRing',\n    POLYGON: 'Polygon',\n    MULTI_POINT: 'MultiPoint',\n    MULTI_LINE_STRING: 'MultiLineString',\n    MULTI_POLYGON: 'MultiPolygon',\n    GEOMETRY_COLLECTION: 'GeometryCollection',\n    CIRCLE: 'Circle',\n};\n//# sourceMappingURL=GeometryType.js.map","/**\n * @module ol/proj/Units\n */\n/**\n * Projection units: `'degrees'`, `'ft'`, `'m'`, `'pixels'`, `'tile-pixels'` or\n * `'us-ft'`.\n * @enum {string}\n */\nvar Units = {\n    /**\n     * Radians\n     * @api\n     */\n    RADIANS: 'radians',\n    /**\n     * Degrees\n     * @api\n     */\n    DEGREES: 'degrees',\n    /**\n     * Feet\n     * @api\n     */\n    FEET: 'ft',\n    /**\n     * Meters\n     * @api\n     */\n    METERS: 'm',\n    /**\n     * Pixels\n     * @api\n     */\n    PIXELS: 'pixels',\n    /**\n     * Tile Pixels\n     * @api\n     */\n    TILE_PIXELS: 'tile-pixels',\n    /**\n     * US Feet\n     * @api\n     */\n    USFEET: 'us-ft',\n};\n/**\n * See http://duff.ess.washington.edu/data/raster/drg/docs/geotiff.txt\n * @type {Object<number, Units>}\n */\nvar unitByCode = {\n    '9001': Units.METERS,\n    '9002': Units.FEET,\n    '9003': Units.USFEET,\n    '9101': Units.RADIANS,\n    '9102': Units.DEGREES,\n};\n/**\n * @param {number} code Unit code.\n * @return {Units} Units.\n */\nexport function fromCode(code) {\n    return unitByCode[code];\n}\n/**\n * Meters per unit lookup table.\n * @const\n * @type {Object<Units, number>}\n * @api\n */\nexport var METERS_PER_UNIT = {};\n// use the radius of the Normal sphere\nMETERS_PER_UNIT[Units.RADIANS] = 6370997 / (2 * Math.PI);\nMETERS_PER_UNIT[Units.DEGREES] = (2 * Math.PI * 6370997) / 360;\nMETERS_PER_UNIT[Units.FEET] = 0.3048;\nMETERS_PER_UNIT[Units.METERS] = 1;\nMETERS_PER_UNIT[Units.USFEET] = 1200 / 3937;\nexport default Units;\n//# sourceMappingURL=Units.js.map","/**\n * @module ol/has\n */\nvar ua = typeof navigator !== 'undefined' && typeof navigator.userAgent !== 'undefined'\n    ? navigator.userAgent.toLowerCase()\n    : '';\n/**\n * User agent string says we are dealing with Firefox as browser.\n * @type {boolean}\n */\nexport var FIREFOX = ua.indexOf('firefox') !== -1;\n/**\n * User agent string says we are dealing with Safari as browser.\n * @type {boolean}\n */\nexport var SAFARI = ua.indexOf('safari') !== -1 && ua.indexOf('chrom') == -1;\n/**\n * User agent string says we are dealing with a WebKit engine.\n * @type {boolean}\n */\nexport var WEBKIT = ua.indexOf('webkit') !== -1 && ua.indexOf('edge') == -1;\n/**\n * User agent string says we are dealing with a Mac as platform.\n * @type {boolean}\n */\nexport var MAC = ua.indexOf('macintosh') !== -1;\n/**\n * The ratio between physical pixels and device-independent pixels\n * (dips) on the device (`window.devicePixelRatio`).\n * @const\n * @type {number}\n * @api\n */\nexport var DEVICE_PIXEL_RATIO = typeof devicePixelRatio !== 'undefined' ? devicePixelRatio : 1;\n/**\n * The execution context is a worker with OffscreenCanvas available.\n * @const\n * @type {boolean}\n */\nexport var WORKER_OFFSCREEN_CANVAS = typeof WorkerGlobalScope !== 'undefined' &&\n    typeof OffscreenCanvas !== 'undefined' &&\n    self instanceof WorkerGlobalScope; //eslint-disable-line\n/**\n * Image.prototype.decode() is supported.\n * @type {boolean}\n */\nexport var IMAGE_DECODE = typeof Image !== 'undefined' && Image.prototype.decode;\n/**\n * @type {boolean}\n */\nexport var PASSIVE_EVENT_LISTENERS = (function () {\n    var passive = false;\n    try {\n        var options = Object.defineProperty({}, 'passive', {\n            get: function () {\n                passive = true;\n            },\n        });\n        window.addEventListener('_', null, options);\n        window.removeEventListener('_', null, options);\n    }\n    catch (error) {\n        // passive not supported\n    }\n    return passive;\n})();\n//# sourceMappingURL=has.js.map","/**\n * @module ol/transform\n */\nimport { WORKER_OFFSCREEN_CANVAS } from './has.js';\nimport { assert } from './asserts.js';\n/**\n * An array representing an affine 2d transformation for use with\n * {@link module:ol/transform} functions. The array has 6 elements.\n * @typedef {!Array<number>} Transform\n * @api\n */\n/**\n * Collection of affine 2d transformation functions. The functions work on an\n * array of 6 elements. The element order is compatible with the [SVGMatrix\n * interface](https://developer.mozilla.org/en-US/docs/Web/API/SVGMatrix) and is\n * a subset (elements a to f) of a 3×3 matrix:\n * ```\n * [ a c e ]\n * [ b d f ]\n * [ 0 0 1 ]\n * ```\n */\n/**\n * @private\n * @type {Transform}\n */\nvar tmp_ = new Array(6);\n/**\n * Create an identity transform.\n * @return {!Transform} Identity transform.\n */\nexport function create() {\n    return [1, 0, 0, 1, 0, 0];\n}\n/**\n * Resets the given transform to an identity transform.\n * @param {!Transform} transform Transform.\n * @return {!Transform} Transform.\n */\nexport function reset(transform) {\n    return set(transform, 1, 0, 0, 1, 0, 0);\n}\n/**\n * Multiply the underlying matrices of two transforms and return the result in\n * the first transform.\n * @param {!Transform} transform1 Transform parameters of matrix 1.\n * @param {!Transform} transform2 Transform parameters of matrix 2.\n * @return {!Transform} transform1 multiplied with transform2.\n */\nexport function multiply(transform1, transform2) {\n    var a1 = transform1[0];\n    var b1 = transform1[1];\n    var c1 = transform1[2];\n    var d1 = transform1[3];\n    var e1 = transform1[4];\n    var f1 = transform1[5];\n    var a2 = transform2[0];\n    var b2 = transform2[1];\n    var c2 = transform2[2];\n    var d2 = transform2[3];\n    var e2 = transform2[4];\n    var f2 = transform2[5];\n    transform1[0] = a1 * a2 + c1 * b2;\n    transform1[1] = b1 * a2 + d1 * b2;\n    transform1[2] = a1 * c2 + c1 * d2;\n    transform1[3] = b1 * c2 + d1 * d2;\n    transform1[4] = a1 * e2 + c1 * f2 + e1;\n    transform1[5] = b1 * e2 + d1 * f2 + f1;\n    return transform1;\n}\n/**\n * Set the transform components a-f on a given transform.\n * @param {!Transform} transform Transform.\n * @param {number} a The a component of the transform.\n * @param {number} b The b component of the transform.\n * @param {number} c The c component of the transform.\n * @param {number} d The d component of the transform.\n * @param {number} e The e component of the transform.\n * @param {number} f The f component of the transform.\n * @return {!Transform} Matrix with transform applied.\n */\nexport function set(transform, a, b, c, d, e, f) {\n    transform[0] = a;\n    transform[1] = b;\n    transform[2] = c;\n    transform[3] = d;\n    transform[4] = e;\n    transform[5] = f;\n    return transform;\n}\n/**\n * Set transform on one matrix from another matrix.\n * @param {!Transform} transform1 Matrix to set transform to.\n * @param {!Transform} transform2 Matrix to set transform from.\n * @return {!Transform} transform1 with transform from transform2 applied.\n */\nexport function setFromArray(transform1, transform2) {\n    transform1[0] = transform2[0];\n    transform1[1] = transform2[1];\n    transform1[2] = transform2[2];\n    transform1[3] = transform2[3];\n    transform1[4] = transform2[4];\n    transform1[5] = transform2[5];\n    return transform1;\n}\n/**\n * Transforms the given coordinate with the given transform returning the\n * resulting, transformed coordinate. The coordinate will be modified in-place.\n *\n * @param {Transform} transform The transformation.\n * @param {import(\"./coordinate.js\").Coordinate|import(\"./pixel.js\").Pixel} coordinate The coordinate to transform.\n * @return {import(\"./coordinate.js\").Coordinate|import(\"./pixel.js\").Pixel} return coordinate so that operations can be\n *     chained together.\n */\nexport function apply(transform, coordinate) {\n    var x = coordinate[0];\n    var y = coordinate[1];\n    coordinate[0] = transform[0] * x + transform[2] * y + transform[4];\n    coordinate[1] = transform[1] * x + transform[3] * y + transform[5];\n    return coordinate;\n}\n/**\n * Applies rotation to the given transform.\n * @param {!Transform} transform Transform.\n * @param {number} angle Angle in radians.\n * @return {!Transform} The rotated transform.\n */\nexport function rotate(transform, angle) {\n    var cos = Math.cos(angle);\n    var sin = Math.sin(angle);\n    return multiply(transform, set(tmp_, cos, sin, -sin, cos, 0, 0));\n}\n/**\n * Applies scale to a given transform.\n * @param {!Transform} transform Transform.\n * @param {number} x Scale factor x.\n * @param {number} y Scale factor y.\n * @return {!Transform} The scaled transform.\n */\nexport function scale(transform, x, y) {\n    return multiply(transform, set(tmp_, x, 0, 0, y, 0, 0));\n}\n/**\n * Creates a scale transform.\n * @param {!Transform} target Transform to overwrite.\n * @param {number} x Scale factor x.\n * @param {number} y Scale factor y.\n * @return {!Transform} The scale transform.\n */\nexport function makeScale(target, x, y) {\n    return set(target, x, 0, 0, y, 0, 0);\n}\n/**\n * Applies translation to the given transform.\n * @param {!Transform} transform Transform.\n * @param {number} dx Translation x.\n * @param {number} dy Translation y.\n * @return {!Transform} The translated transform.\n */\nexport function translate(transform, dx, dy) {\n    return multiply(transform, set(tmp_, 1, 0, 0, 1, dx, dy));\n}\n/**\n * Creates a composite transform given an initial translation, scale, rotation, and\n * final translation (in that order only, not commutative).\n * @param {!Transform} transform The transform (will be modified in place).\n * @param {number} dx1 Initial translation x.\n * @param {number} dy1 Initial translation y.\n * @param {number} sx Scale factor x.\n * @param {number} sy Scale factor y.\n * @param {number} angle Rotation (in counter-clockwise radians).\n * @param {number} dx2 Final translation x.\n * @param {number} dy2 Final translation y.\n * @return {!Transform} The composite transform.\n */\nexport function compose(transform, dx1, dy1, sx, sy, angle, dx2, dy2) {\n    var sin = Math.sin(angle);\n    var cos = Math.cos(angle);\n    transform[0] = sx * cos;\n    transform[1] = sy * sin;\n    transform[2] = -sx * sin;\n    transform[3] = sy * cos;\n    transform[4] = dx2 * sx * cos - dy2 * sx * sin + dx1;\n    transform[5] = dx2 * sy * sin + dy2 * sy * cos + dy1;\n    return transform;\n}\n/**\n * Creates a composite transform given an initial translation, scale, rotation, and\n * final translation (in that order only, not commutative). The resulting transform\n * string can be applied as `transform` property of an HTMLElement's style.\n * @param {number} dx1 Initial translation x.\n * @param {number} dy1 Initial translation y.\n * @param {number} sx Scale factor x.\n * @param {number} sy Scale factor y.\n * @param {number} angle Rotation (in counter-clockwise radians).\n * @param {number} dx2 Final translation x.\n * @param {number} dy2 Final translation y.\n * @return {string} The composite css transform.\n * @api\n */\nexport function composeCssTransform(dx1, dy1, sx, sy, angle, dx2, dy2) {\n    return toString(compose(create(), dx1, dy1, sx, sy, angle, dx2, dy2));\n}\n/**\n * Invert the given transform.\n * @param {!Transform} source The source transform to invert.\n * @return {!Transform} The inverted (source) transform.\n */\nexport function invert(source) {\n    return makeInverse(source, source);\n}\n/**\n * Invert the given transform.\n * @param {!Transform} target Transform to be set as the inverse of\n *     the source transform.\n * @param {!Transform} source The source transform to invert.\n * @return {!Transform} The inverted (target) transform.\n */\nexport function makeInverse(target, source) {\n    var det = determinant(source);\n    assert(det !== 0, 32); // Transformation matrix cannot be inverted\n    var a = source[0];\n    var b = source[1];\n    var c = source[2];\n    var d = source[3];\n    var e = source[4];\n    var f = source[5];\n    target[0] = d / det;\n    target[1] = -b / det;\n    target[2] = -c / det;\n    target[3] = a / det;\n    target[4] = (c * f - d * e) / det;\n    target[5] = -(a * f - b * e) / det;\n    return target;\n}\n/**\n * Returns the determinant of the given matrix.\n * @param {!Transform} mat Matrix.\n * @return {number} Determinant.\n */\nexport function determinant(mat) {\n    return mat[0] * mat[3] - mat[1] * mat[2];\n}\n/**\n * @type {HTMLElement}\n * @private\n */\nvar transformStringDiv;\n/**\n * A rounded string version of the transform.  This can be used\n * for CSS transforms.\n * @param {!Transform} mat Matrix.\n * @return {string} The transform as a string.\n */\nexport function toString(mat) {\n    var transformString = 'matrix(' + mat.join(', ') + ')';\n    if (WORKER_OFFSCREEN_CANVAS) {\n        return transformString;\n    }\n    var node = transformStringDiv || (transformStringDiv = document.createElement('div'));\n    node.style.transform = transformString;\n    return node.style.transform;\n}\n//# sourceMappingURL=transform.js.map","/**\n * @module ol/extent/Corner\n */\n/**\n * Extent corner.\n * @enum {string}\n */\nexport default {\n    BOTTOM_LEFT: 'bottom-left',\n    BOTTOM_RIGHT: 'bottom-right',\n    TOP_LEFT: 'top-left',\n    TOP_RIGHT: 'top-right',\n};\n//# sourceMappingURL=Corner.js.map","/**\n * @module ol/extent/Relationship\n */\n/**\n * Relationship to an extent.\n * @enum {number}\n */\nexport default {\n    UNKNOWN: 0,\n    INTERSECTING: 1,\n    ABOVE: 2,\n    RIGHT: 4,\n    BELOW: 8,\n    LEFT: 16,\n};\n//# sourceMappingURL=Relationship.js.map","/**\n * @module ol/extent\n */\nimport Corner from './extent/Corner.js';\nimport Relationship from './extent/Relationship.js';\nimport { assert } from './asserts.js';\n/**\n * An array of numbers representing an extent: `[minx, miny, maxx, maxy]`.\n * @typedef {Array<number>} Extent\n * @api\n */\n/**\n * Build an extent that includes all given coordinates.\n *\n * @param {Array<import(\"./coordinate.js\").Coordinate>} coordinates Coordinates.\n * @return {Extent} Bounding extent.\n * @api\n */\nexport function boundingExtent(coordinates) {\n    var extent = createEmpty();\n    for (var i = 0, ii = coordinates.length; i < ii; ++i) {\n        extendCoordinate(extent, coordinates[i]);\n    }\n    return extent;\n}\n/**\n * @param {Array<number>} xs Xs.\n * @param {Array<number>} ys Ys.\n * @param {Extent} [opt_extent] Destination extent.\n * @private\n * @return {Extent} Extent.\n */\nfunction _boundingExtentXYs(xs, ys, opt_extent) {\n    var minX = Math.min.apply(null, xs);\n    var minY = Math.min.apply(null, ys);\n    var maxX = Math.max.apply(null, xs);\n    var maxY = Math.max.apply(null, ys);\n    return createOrUpdate(minX, minY, maxX, maxY, opt_extent);\n}\n/**\n * Return extent increased by the provided value.\n * @param {Extent} extent Extent.\n * @param {number} value The amount by which the extent should be buffered.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n * @api\n */\nexport function buffer(extent, value, opt_extent) {\n    if (opt_extent) {\n        opt_extent[0] = extent[0] - value;\n        opt_extent[1] = extent[1] - value;\n        opt_extent[2] = extent[2] + value;\n        opt_extent[3] = extent[3] + value;\n        return opt_extent;\n    }\n    else {\n        return [\n            extent[0] - value,\n            extent[1] - value,\n            extent[2] + value,\n            extent[3] + value,\n        ];\n    }\n}\n/**\n * Creates a clone of an extent.\n *\n * @param {Extent} extent Extent to clone.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} The clone.\n */\nexport function clone(extent, opt_extent) {\n    if (opt_extent) {\n        opt_extent[0] = extent[0];\n        opt_extent[1] = extent[1];\n        opt_extent[2] = extent[2];\n        opt_extent[3] = extent[3];\n        return opt_extent;\n    }\n    else {\n        return extent.slice();\n    }\n}\n/**\n * @param {Extent} extent Extent.\n * @param {number} x X.\n * @param {number} y Y.\n * @return {number} Closest squared distance.\n */\nexport function closestSquaredDistanceXY(extent, x, y) {\n    var dx, dy;\n    if (x < extent[0]) {\n        dx = extent[0] - x;\n    }\n    else if (extent[2] < x) {\n        dx = x - extent[2];\n    }\n    else {\n        dx = 0;\n    }\n    if (y < extent[1]) {\n        dy = extent[1] - y;\n    }\n    else if (extent[3] < y) {\n        dy = y - extent[3];\n    }\n    else {\n        dy = 0;\n    }\n    return dx * dx + dy * dy;\n}\n/**\n * Check if the passed coordinate is contained or on the edge of the extent.\n *\n * @param {Extent} extent Extent.\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n * @return {boolean} The coordinate is contained in the extent.\n * @api\n */\nexport function containsCoordinate(extent, coordinate) {\n    return containsXY(extent, coordinate[0], coordinate[1]);\n}\n/**\n * Check if one extent contains another.\n *\n * An extent is deemed contained if it lies completely within the other extent,\n * including if they share one or more edges.\n *\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @return {boolean} The second extent is contained by or on the edge of the\n *     first.\n * @api\n */\nexport function containsExtent(extent1, extent2) {\n    return (extent1[0] <= extent2[0] &&\n        extent2[2] <= extent1[2] &&\n        extent1[1] <= extent2[1] &&\n        extent2[3] <= extent1[3]);\n}\n/**\n * Check if the passed coordinate is contained or on the edge of the extent.\n *\n * @param {Extent} extent Extent.\n * @param {number} x X coordinate.\n * @param {number} y Y coordinate.\n * @return {boolean} The x, y values are contained in the extent.\n * @api\n */\nexport function containsXY(extent, x, y) {\n    return extent[0] <= x && x <= extent[2] && extent[1] <= y && y <= extent[3];\n}\n/**\n * Get the relationship between a coordinate and extent.\n * @param {Extent} extent The extent.\n * @param {import(\"./coordinate.js\").Coordinate} coordinate The coordinate.\n * @return {import(\"./extent/Relationship.js\").default} The relationship (bitwise compare with\n *     import(\"./extent/Relationship.js\").Relationship).\n */\nexport function coordinateRelationship(extent, coordinate) {\n    var minX = extent[0];\n    var minY = extent[1];\n    var maxX = extent[2];\n    var maxY = extent[3];\n    var x = coordinate[0];\n    var y = coordinate[1];\n    var relationship = Relationship.UNKNOWN;\n    if (x < minX) {\n        relationship = relationship | Relationship.LEFT;\n    }\n    else if (x > maxX) {\n        relationship = relationship | Relationship.RIGHT;\n    }\n    if (y < minY) {\n        relationship = relationship | Relationship.BELOW;\n    }\n    else if (y > maxY) {\n        relationship = relationship | Relationship.ABOVE;\n    }\n    if (relationship === Relationship.UNKNOWN) {\n        relationship = Relationship.INTERSECTING;\n    }\n    return relationship;\n}\n/**\n * Create an empty extent.\n * @return {Extent} Empty extent.\n * @api\n */\nexport function createEmpty() {\n    return [Infinity, Infinity, -Infinity, -Infinity];\n}\n/**\n * Create a new extent or update the provided extent.\n * @param {number} minX Minimum X.\n * @param {number} minY Minimum Y.\n * @param {number} maxX Maximum X.\n * @param {number} maxY Maximum Y.\n * @param {Extent} [opt_extent] Destination extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdate(minX, minY, maxX, maxY, opt_extent) {\n    if (opt_extent) {\n        opt_extent[0] = minX;\n        opt_extent[1] = minY;\n        opt_extent[2] = maxX;\n        opt_extent[3] = maxY;\n        return opt_extent;\n    }\n    else {\n        return [minX, minY, maxX, maxY];\n    }\n}\n/**\n * Create a new empty extent or make the provided one empty.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdateEmpty(opt_extent) {\n    return createOrUpdate(Infinity, Infinity, -Infinity, -Infinity, opt_extent);\n}\n/**\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdateFromCoordinate(coordinate, opt_extent) {\n    var x = coordinate[0];\n    var y = coordinate[1];\n    return createOrUpdate(x, y, x, y, opt_extent);\n}\n/**\n * @param {Array<import(\"./coordinate.js\").Coordinate>} coordinates Coordinates.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdateFromCoordinates(coordinates, opt_extent) {\n    var extent = createOrUpdateEmpty(opt_extent);\n    return extendCoordinates(extent, coordinates);\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdateFromFlatCoordinates(flatCoordinates, offset, end, stride, opt_extent) {\n    var extent = createOrUpdateEmpty(opt_extent);\n    return extendFlatCoordinates(extent, flatCoordinates, offset, end, stride);\n}\n/**\n * @param {Array<Array<import(\"./coordinate.js\").Coordinate>>} rings Rings.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdateFromRings(rings, opt_extent) {\n    var extent = createOrUpdateEmpty(opt_extent);\n    return extendRings(extent, rings);\n}\n/**\n * Determine if two extents are equivalent.\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @return {boolean} The two extents are equivalent.\n * @api\n */\nexport function equals(extent1, extent2) {\n    return (extent1[0] == extent2[0] &&\n        extent1[2] == extent2[2] &&\n        extent1[1] == extent2[1] &&\n        extent1[3] == extent2[3]);\n}\n/**\n * Determine if two extents are approximately equivalent.\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @param {number} tolerance Tolerance in extent coordinate units.\n * @return {boolean} The two extents differ by less than the tolerance.\n */\nexport function approximatelyEquals(extent1, extent2, tolerance) {\n    return (Math.abs(extent1[0] - extent2[0]) < tolerance &&\n        Math.abs(extent1[2] - extent2[2]) < tolerance &&\n        Math.abs(extent1[1] - extent2[1]) < tolerance &&\n        Math.abs(extent1[3] - extent2[3]) < tolerance);\n}\n/**\n * Modify an extent to include another extent.\n * @param {Extent} extent1 The extent to be modified.\n * @param {Extent} extent2 The extent that will be included in the first.\n * @return {Extent} A reference to the first (extended) extent.\n * @api\n */\nexport function extend(extent1, extent2) {\n    if (extent2[0] < extent1[0]) {\n        extent1[0] = extent2[0];\n    }\n    if (extent2[2] > extent1[2]) {\n        extent1[2] = extent2[2];\n    }\n    if (extent2[1] < extent1[1]) {\n        extent1[1] = extent2[1];\n    }\n    if (extent2[3] > extent1[3]) {\n        extent1[3] = extent2[3];\n    }\n    return extent1;\n}\n/**\n * @param {Extent} extent Extent.\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n */\nexport function extendCoordinate(extent, coordinate) {\n    if (coordinate[0] < extent[0]) {\n        extent[0] = coordinate[0];\n    }\n    if (coordinate[0] > extent[2]) {\n        extent[2] = coordinate[0];\n    }\n    if (coordinate[1] < extent[1]) {\n        extent[1] = coordinate[1];\n    }\n    if (coordinate[1] > extent[3]) {\n        extent[3] = coordinate[1];\n    }\n}\n/**\n * @param {Extent} extent Extent.\n * @param {Array<import(\"./coordinate.js\").Coordinate>} coordinates Coordinates.\n * @return {Extent} Extent.\n */\nexport function extendCoordinates(extent, coordinates) {\n    for (var i = 0, ii = coordinates.length; i < ii; ++i) {\n        extendCoordinate(extent, coordinates[i]);\n    }\n    return extent;\n}\n/**\n * @param {Extent} extent Extent.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {Extent} Extent.\n */\nexport function extendFlatCoordinates(extent, flatCoordinates, offset, end, stride) {\n    for (; offset < end; offset += stride) {\n        extendXY(extent, flatCoordinates[offset], flatCoordinates[offset + 1]);\n    }\n    return extent;\n}\n/**\n * @param {Extent} extent Extent.\n * @param {Array<Array<import(\"./coordinate.js\").Coordinate>>} rings Rings.\n * @return {Extent} Extent.\n */\nexport function extendRings(extent, rings) {\n    for (var i = 0, ii = rings.length; i < ii; ++i) {\n        extendCoordinates(extent, rings[i]);\n    }\n    return extent;\n}\n/**\n * @param {Extent} extent Extent.\n * @param {number} x X.\n * @param {number} y Y.\n */\nexport function extendXY(extent, x, y) {\n    extent[0] = Math.min(extent[0], x);\n    extent[1] = Math.min(extent[1], y);\n    extent[2] = Math.max(extent[2], x);\n    extent[3] = Math.max(extent[3], y);\n}\n/**\n * This function calls `callback` for each corner of the extent. If the\n * callback returns a truthy value the function returns that value\n * immediately. Otherwise the function returns `false`.\n * @param {Extent} extent Extent.\n * @param {function(import(\"./coordinate.js\").Coordinate): S} callback Callback.\n * @return {S|boolean} Value.\n * @template S\n */\nexport function forEachCorner(extent, callback) {\n    var val;\n    val = callback(getBottomLeft(extent));\n    if (val) {\n        return val;\n    }\n    val = callback(getBottomRight(extent));\n    if (val) {\n        return val;\n    }\n    val = callback(getTopRight(extent));\n    if (val) {\n        return val;\n    }\n    val = callback(getTopLeft(extent));\n    if (val) {\n        return val;\n    }\n    return false;\n}\n/**\n * Get the size of an extent.\n * @param {Extent} extent Extent.\n * @return {number} Area.\n * @api\n */\nexport function getArea(extent) {\n    var area = 0;\n    if (!isEmpty(extent)) {\n        area = getWidth(extent) * getHeight(extent);\n    }\n    return area;\n}\n/**\n * Get the bottom left coordinate of an extent.\n * @param {Extent} extent Extent.\n * @return {import(\"./coordinate.js\").Coordinate} Bottom left coordinate.\n * @api\n */\nexport function getBottomLeft(extent) {\n    return [extent[0], extent[1]];\n}\n/**\n * Get the bottom right coordinate of an extent.\n * @param {Extent} extent Extent.\n * @return {import(\"./coordinate.js\").Coordinate} Bottom right coordinate.\n * @api\n */\nexport function getBottomRight(extent) {\n    return [extent[2], extent[1]];\n}\n/**\n * Get the center coordinate of an extent.\n * @param {Extent} extent Extent.\n * @return {import(\"./coordinate.js\").Coordinate} Center.\n * @api\n */\nexport function getCenter(extent) {\n    return [(extent[0] + extent[2]) / 2, (extent[1] + extent[3]) / 2];\n}\n/**\n * Get a corner coordinate of an extent.\n * @param {Extent} extent Extent.\n * @param {import(\"./extent/Corner.js\").default} corner Corner.\n * @return {import(\"./coordinate.js\").Coordinate} Corner coordinate.\n */\nexport function getCorner(extent, corner) {\n    var coordinate;\n    if (corner === Corner.BOTTOM_LEFT) {\n        coordinate = getBottomLeft(extent);\n    }\n    else if (corner === Corner.BOTTOM_RIGHT) {\n        coordinate = getBottomRight(extent);\n    }\n    else if (corner === Corner.TOP_LEFT) {\n        coordinate = getTopLeft(extent);\n    }\n    else if (corner === Corner.TOP_RIGHT) {\n        coordinate = getTopRight(extent);\n    }\n    else {\n        assert(false, 13); // Invalid corner\n    }\n    return coordinate;\n}\n/**\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @return {number} Enlarged area.\n */\nexport function getEnlargedArea(extent1, extent2) {\n    var minX = Math.min(extent1[0], extent2[0]);\n    var minY = Math.min(extent1[1], extent2[1]);\n    var maxX = Math.max(extent1[2], extent2[2]);\n    var maxY = Math.max(extent1[3], extent2[3]);\n    return (maxX - minX) * (maxY - minY);\n}\n/**\n * @param {import(\"./coordinate.js\").Coordinate} center Center.\n * @param {number} resolution Resolution.\n * @param {number} rotation Rotation.\n * @param {import(\"./size.js\").Size} size Size.\n * @param {Extent} [opt_extent] Destination extent.\n * @return {Extent} Extent.\n */\nexport function getForViewAndSize(center, resolution, rotation, size, opt_extent) {\n    var dx = (resolution * size[0]) / 2;\n    var dy = (resolution * size[1]) / 2;\n    var cosRotation = Math.cos(rotation);\n    var sinRotation = Math.sin(rotation);\n    var xCos = dx * cosRotation;\n    var xSin = dx * sinRotation;\n    var yCos = dy * cosRotation;\n    var ySin = dy * sinRotation;\n    var x = center[0];\n    var y = center[1];\n    var x0 = x - xCos + ySin;\n    var x1 = x - xCos - ySin;\n    var x2 = x + xCos - ySin;\n    var x3 = x + xCos + ySin;\n    var y0 = y - xSin - yCos;\n    var y1 = y - xSin + yCos;\n    var y2 = y + xSin + yCos;\n    var y3 = y + xSin - yCos;\n    return createOrUpdate(Math.min(x0, x1, x2, x3), Math.min(y0, y1, y2, y3), Math.max(x0, x1, x2, x3), Math.max(y0, y1, y2, y3), opt_extent);\n}\n/**\n * Get the height of an extent.\n * @param {Extent} extent Extent.\n * @return {number} Height.\n * @api\n */\nexport function getHeight(extent) {\n    return extent[3] - extent[1];\n}\n/**\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @return {number} Intersection area.\n */\nexport function getIntersectionArea(extent1, extent2) {\n    var intersection = getIntersection(extent1, extent2);\n    return getArea(intersection);\n}\n/**\n * Get the intersection of two extents.\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @param {Extent} [opt_extent] Optional extent to populate with intersection.\n * @return {Extent} Intersecting extent.\n * @api\n */\nexport function getIntersection(extent1, extent2, opt_extent) {\n    var intersection = opt_extent ? opt_extent : createEmpty();\n    if (intersects(extent1, extent2)) {\n        if (extent1[0] > extent2[0]) {\n            intersection[0] = extent1[0];\n        }\n        else {\n            intersection[0] = extent2[0];\n        }\n        if (extent1[1] > extent2[1]) {\n            intersection[1] = extent1[1];\n        }\n        else {\n            intersection[1] = extent2[1];\n        }\n        if (extent1[2] < extent2[2]) {\n            intersection[2] = extent1[2];\n        }\n        else {\n            intersection[2] = extent2[2];\n        }\n        if (extent1[3] < extent2[3]) {\n            intersection[3] = extent1[3];\n        }\n        else {\n            intersection[3] = extent2[3];\n        }\n    }\n    else {\n        createOrUpdateEmpty(intersection);\n    }\n    return intersection;\n}\n/**\n * @param {Extent} extent Extent.\n * @return {number} Margin.\n */\nexport function getMargin(extent) {\n    return getWidth(extent) + getHeight(extent);\n}\n/**\n * Get the size (width, height) of an extent.\n * @param {Extent} extent The extent.\n * @return {import(\"./size.js\").Size} The extent size.\n * @api\n */\nexport function getSize(extent) {\n    return [extent[2] - extent[0], extent[3] - extent[1]];\n}\n/**\n * Get the top left coordinate of an extent.\n * @param {Extent} extent Extent.\n * @return {import(\"./coordinate.js\").Coordinate} Top left coordinate.\n * @api\n */\nexport function getTopLeft(extent) {\n    return [extent[0], extent[3]];\n}\n/**\n * Get the top right coordinate of an extent.\n * @param {Extent} extent Extent.\n * @return {import(\"./coordinate.js\").Coordinate} Top right coordinate.\n * @api\n */\nexport function getTopRight(extent) {\n    return [extent[2], extent[3]];\n}\n/**\n * Get the width of an extent.\n * @param {Extent} extent Extent.\n * @return {number} Width.\n * @api\n */\nexport function getWidth(extent) {\n    return extent[2] - extent[0];\n}\n/**\n * Determine if one extent intersects another.\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent.\n * @return {boolean} The two extents intersect.\n * @api\n */\nexport function intersects(extent1, extent2) {\n    return (extent1[0] <= extent2[2] &&\n        extent1[2] >= extent2[0] &&\n        extent1[1] <= extent2[3] &&\n        extent1[3] >= extent2[1]);\n}\n/**\n * Determine if an extent is empty.\n * @param {Extent} extent Extent.\n * @return {boolean} Is empty.\n * @api\n */\nexport function isEmpty(extent) {\n    return extent[2] < extent[0] || extent[3] < extent[1];\n}\n/**\n * @param {Extent} extent Extent.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function returnOrUpdate(extent, opt_extent) {\n    if (opt_extent) {\n        opt_extent[0] = extent[0];\n        opt_extent[1] = extent[1];\n        opt_extent[2] = extent[2];\n        opt_extent[3] = extent[3];\n        return opt_extent;\n    }\n    else {\n        return extent;\n    }\n}\n/**\n * @param {Extent} extent Extent.\n * @param {number} value Value.\n */\nexport function scaleFromCenter(extent, value) {\n    var deltaX = ((extent[2] - extent[0]) / 2) * (value - 1);\n    var deltaY = ((extent[3] - extent[1]) / 2) * (value - 1);\n    extent[0] -= deltaX;\n    extent[2] += deltaX;\n    extent[1] -= deltaY;\n    extent[3] += deltaY;\n}\n/**\n * Determine if the segment between two coordinates intersects (crosses,\n * touches, or is contained by) the provided extent.\n * @param {Extent} extent The extent.\n * @param {import(\"./coordinate.js\").Coordinate} start Segment start coordinate.\n * @param {import(\"./coordinate.js\").Coordinate} end Segment end coordinate.\n * @return {boolean} The segment intersects the extent.\n */\nexport function intersectsSegment(extent, start, end) {\n    var intersects = false;\n    var startRel = coordinateRelationship(extent, start);\n    var endRel = coordinateRelationship(extent, end);\n    if (startRel === Relationship.INTERSECTING ||\n        endRel === Relationship.INTERSECTING) {\n        intersects = true;\n    }\n    else {\n        var minX = extent[0];\n        var minY = extent[1];\n        var maxX = extent[2];\n        var maxY = extent[3];\n        var startX = start[0];\n        var startY = start[1];\n        var endX = end[0];\n        var endY = end[1];\n        var slope = (endY - startY) / (endX - startX);\n        var x = void 0, y = void 0;\n        if (!!(endRel & Relationship.ABOVE) && !(startRel & Relationship.ABOVE)) {\n            // potentially intersects top\n            x = endX - (endY - maxY) / slope;\n            intersects = x >= minX && x <= maxX;\n        }\n        if (!intersects &&\n            !!(endRel & Relationship.RIGHT) &&\n            !(startRel & Relationship.RIGHT)) {\n            // potentially intersects right\n            y = endY - (endX - maxX) * slope;\n            intersects = y >= minY && y <= maxY;\n        }\n        if (!intersects &&\n            !!(endRel & Relationship.BELOW) &&\n            !(startRel & Relationship.BELOW)) {\n            // potentially intersects bottom\n            x = endX - (endY - minY) / slope;\n            intersects = x >= minX && x <= maxX;\n        }\n        if (!intersects &&\n            !!(endRel & Relationship.LEFT) &&\n            !(startRel & Relationship.LEFT)) {\n            // potentially intersects left\n            y = endY - (endX - minX) * slope;\n            intersects = y >= minY && y <= maxY;\n        }\n    }\n    return intersects;\n}\n/**\n * Apply a transform function to the extent.\n * @param {Extent} extent Extent.\n * @param {import(\"./proj.js\").TransformFunction} transformFn Transform function.\n * Called with `[minX, minY, maxX, maxY]` extent coordinates.\n * @param {Extent} [opt_extent] Destination extent.\n * @param {number} [opt_stops] Number of stops per side used for the transform.\n * By default only the corners are used.\n * @return {Extent} Extent.\n * @api\n */\nexport function applyTransform(extent, transformFn, opt_extent, opt_stops) {\n    var coordinates = [];\n    if (opt_stops > 1) {\n        var width = extent[2] - extent[0];\n        var height = extent[3] - extent[1];\n        for (var i = 0; i < opt_stops; ++i) {\n            coordinates.push(extent[0] + (width * i) / opt_stops, extent[1], extent[2], extent[1] + (height * i) / opt_stops, extent[2] - (width * i) / opt_stops, extent[3], extent[0], extent[3] - (height * i) / opt_stops);\n        }\n    }\n    else {\n        coordinates = [\n            extent[0],\n            extent[1],\n            extent[2],\n            extent[1],\n            extent[2],\n            extent[3],\n            extent[0],\n            extent[3],\n        ];\n    }\n    transformFn(coordinates, coordinates, 2);\n    var xs = [];\n    var ys = [];\n    for (var i = 0, l = coordinates.length; i < l; i += 2) {\n        xs.push(coordinates[i]);\n        ys.push(coordinates[i + 1]);\n    }\n    return _boundingExtentXYs(xs, ys, opt_extent);\n}\n/**\n * Modifies the provided extent in-place to be within the real world\n * extent.\n *\n * @param {Extent} extent Extent.\n * @param {import(\"./proj/Projection.js\").default} projection Projection\n * @return {Extent} The extent within the real world extent.\n */\nexport function wrapX(extent, projection) {\n    var projectionExtent = projection.getExtent();\n    var center = getCenter(extent);\n    if (projection.canWrapX() &&\n        (center[0] < projectionExtent[0] || center[0] >= projectionExtent[2])) {\n        var worldWidth = getWidth(projectionExtent);\n        var worldsAway = Math.floor((center[0] - projectionExtent[0]) / worldWidth);\n        var offset = worldsAway * worldWidth;\n        extent[0] -= offset;\n        extent[2] -= offset;\n    }\n    return extent;\n}\n//# sourceMappingURL=extent.js.map","/**\n * @module ol/proj/Projection\n */\nimport { METERS_PER_UNIT } from './Units.js';\n/**\n * @typedef {Object} Options\n * @property {string} code The SRS identifier code, e.g. `EPSG:4326`.\n * @property {import(\"./Units.js\").default|string} [units] Units. Required unless a\n * proj4 projection is defined for `code`.\n * @property {import(\"../extent.js\").Extent} [extent] The validity extent for the SRS.\n * @property {string} [axisOrientation='enu'] The axis orientation as specified in Proj4.\n * @property {boolean} [global=false] Whether the projection is valid for the whole globe.\n * @property {number} [metersPerUnit] The meters per unit for the SRS.\n * If not provided, the `units` are used to get the meters per unit from the {@link module:ol/proj/Units~METERS_PER_UNIT}\n * lookup table.\n * @property {import(\"../extent.js\").Extent} [worldExtent] The world extent for the SRS.\n * @property {function(number, import(\"../coordinate.js\").Coordinate):number} [getPointResolution]\n * Function to determine resolution at a point. The function is called with a\n * `number` view resolution and a {@link module:ol/coordinate~Coordinate Coordinate} as arguments, and returns\n * the `number` resolution in projection units at the passed coordinate. If this is `undefined`,\n * the default {@link module:ol/proj.getPointResolution getPointResolution()} function will be used.\n */\n/**\n * @classdesc\n * Projection definition class. One of these is created for each projection\n * supported in the application and stored in the {@link module:ol/proj} namespace.\n * You can use these in applications, but this is not required, as API params\n * and options use {@link module:ol/proj~ProjectionLike} which means the simple string\n * code will suffice.\n *\n * You can use {@link module:ol/proj.get} to retrieve the object for a particular\n * projection.\n *\n * The library includes definitions for `EPSG:4326` and `EPSG:3857`, together\n * with the following aliases:\n * * `EPSG:4326`: CRS:84, urn:ogc:def:crs:EPSG:6.6:4326,\n *     urn:ogc:def:crs:OGC:1.3:CRS84, urn:ogc:def:crs:OGC:2:84,\n *     http://www.opengis.net/gml/srs/epsg.xml#4326,\n *     urn:x-ogc:def:crs:EPSG:4326\n * * `EPSG:3857`: EPSG:102100, EPSG:102113, EPSG:900913,\n *     urn:ogc:def:crs:EPSG:6.18:3:3857,\n *     http://www.opengis.net/gml/srs/epsg.xml#3857\n *\n * If you use [proj4js](https://github.com/proj4js/proj4js), aliases can\n * be added using `proj4.defs()`. After all required projection definitions are\n * added, call the {@link module:ol/proj/proj4.register} function.\n *\n * @api\n */\nvar Projection = /** @class */ (function () {\n    /**\n     * @param {Options} options Projection options.\n     */\n    function Projection(options) {\n        /**\n         * @private\n         * @type {string}\n         */\n        this.code_ = options.code;\n        /**\n         * Units of projected coordinates. When set to `TILE_PIXELS`, a\n         * `this.extent_` and `this.worldExtent_` must be configured properly for each\n         * tile.\n         * @private\n         * @type {import(\"./Units.js\").default}\n         */\n        this.units_ = /** @type {import(\"./Units.js\").default} */ (options.units);\n        /**\n         * Validity extent of the projection in projected coordinates. For projections\n         * with `TILE_PIXELS` units, this is the extent of the tile in\n         * tile pixel space.\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        this.extent_ = options.extent !== undefined ? options.extent : null;\n        /**\n         * Extent of the world in EPSG:4326. For projections with\n         * `TILE_PIXELS` units, this is the extent of the tile in\n         * projected coordinate space.\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        this.worldExtent_ =\n            options.worldExtent !== undefined ? options.worldExtent : null;\n        /**\n         * @private\n         * @type {string}\n         */\n        this.axisOrientation_ =\n            options.axisOrientation !== undefined ? options.axisOrientation : 'enu';\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.global_ = options.global !== undefined ? options.global : false;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.canWrapX_ = !!(this.global_ && this.extent_);\n        /**\n         * @private\n         * @type {function(number, import(\"../coordinate.js\").Coordinate):number|undefined}\n         */\n        this.getPointResolutionFunc_ = options.getPointResolution;\n        /**\n         * @private\n         * @type {import(\"../tilegrid/TileGrid.js\").default}\n         */\n        this.defaultTileGrid_ = null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.metersPerUnit_ = options.metersPerUnit;\n    }\n    /**\n     * @return {boolean} The projection is suitable for wrapping the x-axis\n     */\n    Projection.prototype.canWrapX = function () {\n        return this.canWrapX_;\n    };\n    /**\n     * Get the code for this projection, e.g. 'EPSG:4326'.\n     * @return {string} Code.\n     * @api\n     */\n    Projection.prototype.getCode = function () {\n        return this.code_;\n    };\n    /**\n     * Get the validity extent for this projection.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    Projection.prototype.getExtent = function () {\n        return this.extent_;\n    };\n    /**\n     * Get the units of this projection.\n     * @return {import(\"./Units.js\").default} Units.\n     * @api\n     */\n    Projection.prototype.getUnits = function () {\n        return this.units_;\n    };\n    /**\n     * Get the amount of meters per unit of this projection.  If the projection is\n     * not configured with `metersPerUnit` or a units identifier, the return is\n     * `undefined`.\n     * @return {number|undefined} Meters.\n     * @api\n     */\n    Projection.prototype.getMetersPerUnit = function () {\n        return this.metersPerUnit_ || METERS_PER_UNIT[this.units_];\n    };\n    /**\n     * Get the world extent for this projection.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    Projection.prototype.getWorldExtent = function () {\n        return this.worldExtent_;\n    };\n    /**\n     * Get the axis orientation of this projection.\n     * Example values are:\n     * enu - the default easting, northing, elevation.\n     * neu - northing, easting, up - useful for \"lat/long\" geographic coordinates,\n     *     or south orientated transverse mercator.\n     * wnu - westing, northing, up - some planetary coordinate systems have\n     *     \"west positive\" coordinate systems\n     * @return {string} Axis orientation.\n     * @api\n     */\n    Projection.prototype.getAxisOrientation = function () {\n        return this.axisOrientation_;\n    };\n    /**\n     * Is this projection a global projection which spans the whole world?\n     * @return {boolean} Whether the projection is global.\n     * @api\n     */\n    Projection.prototype.isGlobal = function () {\n        return this.global_;\n    };\n    /**\n     * Set if the projection is a global projection which spans the whole world\n     * @param {boolean} global Whether the projection is global.\n     * @api\n     */\n    Projection.prototype.setGlobal = function (global) {\n        this.global_ = global;\n        this.canWrapX_ = !!(global && this.extent_);\n    };\n    /**\n     * @return {import(\"../tilegrid/TileGrid.js\").default} The default tile grid.\n     */\n    Projection.prototype.getDefaultTileGrid = function () {\n        return this.defaultTileGrid_;\n    };\n    /**\n     * @param {import(\"../tilegrid/TileGrid.js\").default} tileGrid The default tile grid.\n     */\n    Projection.prototype.setDefaultTileGrid = function (tileGrid) {\n        this.defaultTileGrid_ = tileGrid;\n    };\n    /**\n     * Set the validity extent for this projection.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @api\n     */\n    Projection.prototype.setExtent = function (extent) {\n        this.extent_ = extent;\n        this.canWrapX_ = !!(this.global_ && extent);\n    };\n    /**\n     * Set the world extent for this projection.\n     * @param {import(\"../extent.js\").Extent} worldExtent World extent\n     *     [minlon, minlat, maxlon, maxlat].\n     * @api\n     */\n    Projection.prototype.setWorldExtent = function (worldExtent) {\n        this.worldExtent_ = worldExtent;\n    };\n    /**\n     * Set the getPointResolution function (see {@link module:ol/proj.getPointResolution}\n     * for this projection.\n     * @param {function(number, import(\"../coordinate.js\").Coordinate):number} func Function\n     * @api\n     */\n    Projection.prototype.setGetPointResolution = function (func) {\n        this.getPointResolutionFunc_ = func;\n    };\n    /**\n     * Get the custom point resolution function for this projection (if set).\n     * @return {function(number, import(\"../coordinate.js\").Coordinate):number|undefined} The custom point\n     * resolution function (if set).\n     */\n    Projection.prototype.getPointResolutionFunc = function () {\n        return this.getPointResolutionFunc_;\n    };\n    return Projection;\n}());\nexport default Projection;\n//# sourceMappingURL=Projection.js.map","/**\n * @module ol/math\n */\n/**\n * Takes a number and clamps it to within the provided bounds.\n * @param {number} value The input number.\n * @param {number} min The minimum value to return.\n * @param {number} max The maximum value to return.\n * @return {number} The input number if it is within bounds, or the nearest\n *     number within the bounds.\n */\nexport function clamp(value, min, max) {\n    return Math.min(Math.max(value, min), max);\n}\n/**\n * Return the hyperbolic cosine of a given number. The method will use the\n * native `Math.cosh` function if it is available, otherwise the hyperbolic\n * cosine will be calculated via the reference implementation of the Mozilla\n * developer network.\n *\n * @param {number} x X.\n * @return {number} Hyperbolic cosine of x.\n */\nexport var cosh = (function () {\n    // Wrapped in a iife, to save the overhead of checking for the native\n    // implementation on every invocation.\n    var cosh;\n    if ('cosh' in Math) {\n        // The environment supports the native Math.cosh function, use it…\n        cosh = Math.cosh;\n    }\n    else {\n        // … else, use the reference implementation of MDN:\n        cosh = function (x) {\n            var y = /** @type {Math} */ (Math).exp(x);\n            return (y + 1 / y) / 2;\n        };\n    }\n    return cosh;\n})();\n/**\n * Return the base 2 logarithm of a given number. The method will use the\n * native `Math.log2` function if it is available, otherwise the base 2\n * logarithm will be calculated via the reference implementation of the\n * Mozilla developer network.\n *\n * @param {number} x X.\n * @return {number} Base 2 logarithm of x.\n */\nexport var log2 = (function () {\n    // Wrapped in a iife, to save the overhead of checking for the native\n    // implementation on every invocation.\n    var log2;\n    if ('log2' in Math) {\n        // The environment supports the native Math.log2 function, use it…\n        log2 = Math.log2;\n    }\n    else {\n        // … else, use the reference implementation of MDN:\n        log2 = function (x) {\n            return Math.log(x) * Math.LOG2E;\n        };\n    }\n    return log2;\n})();\n/**\n * Returns the square of the closest distance between the point (x, y) and the\n * line segment (x1, y1) to (x2, y2).\n * @param {number} x X.\n * @param {number} y Y.\n * @param {number} x1 X1.\n * @param {number} y1 Y1.\n * @param {number} x2 X2.\n * @param {number} y2 Y2.\n * @return {number} Squared distance.\n */\nexport function squaredSegmentDistance(x, y, x1, y1, x2, y2) {\n    var dx = x2 - x1;\n    var dy = y2 - y1;\n    if (dx !== 0 || dy !== 0) {\n        var t = ((x - x1) * dx + (y - y1) * dy) / (dx * dx + dy * dy);\n        if (t > 1) {\n            x1 = x2;\n            y1 = y2;\n        }\n        else if (t > 0) {\n            x1 += dx * t;\n            y1 += dy * t;\n        }\n    }\n    return squaredDistance(x, y, x1, y1);\n}\n/**\n * Returns the square of the distance between the points (x1, y1) and (x2, y2).\n * @param {number} x1 X1.\n * @param {number} y1 Y1.\n * @param {number} x2 X2.\n * @param {number} y2 Y2.\n * @return {number} Squared distance.\n */\nexport function squaredDistance(x1, y1, x2, y2) {\n    var dx = x2 - x1;\n    var dy = y2 - y1;\n    return dx * dx + dy * dy;\n}\n/**\n * Solves system of linear equations using Gaussian elimination method.\n *\n * @param {Array<Array<number>>} mat Augmented matrix (n x n + 1 column)\n *                                     in row-major order.\n * @return {Array<number>} The resulting vector.\n */\nexport function solveLinearSystem(mat) {\n    var n = mat.length;\n    for (var i = 0; i < n; i++) {\n        // Find max in the i-th column (ignoring i - 1 first rows)\n        var maxRow = i;\n        var maxEl = Math.abs(mat[i][i]);\n        for (var r = i + 1; r < n; r++) {\n            var absValue = Math.abs(mat[r][i]);\n            if (absValue > maxEl) {\n                maxEl = absValue;\n                maxRow = r;\n            }\n        }\n        if (maxEl === 0) {\n            return null; // matrix is singular\n        }\n        // Swap max row with i-th (current) row\n        var tmp = mat[maxRow];\n        mat[maxRow] = mat[i];\n        mat[i] = tmp;\n        // Subtract the i-th row to make all the remaining rows 0 in the i-th column\n        for (var j = i + 1; j < n; j++) {\n            var coef = -mat[j][i] / mat[i][i];\n            for (var k = i; k < n + 1; k++) {\n                if (i == k) {\n                    mat[j][k] = 0;\n                }\n                else {\n                    mat[j][k] += coef * mat[i][k];\n                }\n            }\n        }\n    }\n    // Solve Ax=b for upper triangular matrix A (mat)\n    var x = new Array(n);\n    for (var l = n - 1; l >= 0; l--) {\n        x[l] = mat[l][n] / mat[l][l];\n        for (var m = l - 1; m >= 0; m--) {\n            mat[m][n] -= mat[m][l] * x[l];\n        }\n    }\n    return x;\n}\n/**\n * Converts radians to to degrees.\n *\n * @param {number} angleInRadians Angle in radians.\n * @return {number} Angle in degrees.\n */\nexport function toDegrees(angleInRadians) {\n    return (angleInRadians * 180) / Math.PI;\n}\n/**\n * Converts degrees to radians.\n *\n * @param {number} angleInDegrees Angle in degrees.\n * @return {number} Angle in radians.\n */\nexport function toRadians(angleInDegrees) {\n    return (angleInDegrees * Math.PI) / 180;\n}\n/**\n * Returns the modulo of a / b, depending on the sign of b.\n *\n * @param {number} a Dividend.\n * @param {number} b Divisor.\n * @return {number} Modulo.\n */\nexport function modulo(a, b) {\n    var r = a % b;\n    return r * b < 0 ? r + b : r;\n}\n/**\n * Calculates the linearly interpolated value of x between a and b.\n *\n * @param {number} a Number\n * @param {number} b Number\n * @param {number} x Value to be interpolated.\n * @return {number} Interpolated value.\n */\nexport function lerp(a, b, x) {\n    return a + x * (b - a);\n}\n/**\n * Returns a number with a limited number of decimal digits.\n * @param {number} n The input number.\n * @param {number} decimals The maximum number of decimal digits.\n * @return {number} The input number with a limited number of decimal digits.\n */\nexport function toFixed(n, decimals) {\n    var factor = Math.pow(10, decimals);\n    return Math.round(n * factor) / factor;\n}\n/**\n * Rounds a number to the nearest integer value considering only the given number\n * of decimal digits (with rounding on the final digit).\n * @param {number} n The input number.\n * @param {number} decimals The maximum number of decimal digits.\n * @return {number} The nearest integer.\n */\nexport function round(n, decimals) {\n    return Math.round(toFixed(n, decimals));\n}\n/**\n * Rounds a number to the next smaller integer considering only the given number\n * of decimal digits (with rounding on the final digit).\n * @param {number} n The input number.\n * @param {number} decimals The maximum number of decimal digits.\n * @return {number} The next smaller integer.\n */\nexport function floor(n, decimals) {\n    return Math.floor(toFixed(n, decimals));\n}\n/**\n * Rounds a number to the next bigger integer considering only the given number\n * of decimal digits (with rounding on the final digit).\n * @param {number} n The input number.\n * @param {number} decimals The maximum number of decimal digits.\n * @return {number} The next bigger integer.\n */\nexport function ceil(n, decimals) {\n    return Math.ceil(toFixed(n, decimals));\n}\n//# sourceMappingURL=math.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/proj/epsg3857\n */\nimport Projection from './Projection.js';\nimport Units from './Units.js';\nimport { cosh } from '../math.js';\n/**\n * Radius of WGS84 sphere\n *\n * @const\n * @type {number}\n */\nexport var RADIUS = 6378137;\n/**\n * @const\n * @type {number}\n */\nexport var HALF_SIZE = Math.PI * RADIUS;\n/**\n * @const\n * @type {import(\"../extent.js\").Extent}\n */\nexport var EXTENT = [-HALF_SIZE, -HALF_SIZE, HALF_SIZE, HALF_SIZE];\n/**\n * @const\n * @type {import(\"../extent.js\").Extent}\n */\nexport var WORLD_EXTENT = [-180, -85, 180, 85];\n/**\n * Maximum safe value in y direction\n * @const\n * @type {number}\n */\nexport var MAX_SAFE_Y = RADIUS * Math.log(Math.tan(Math.PI / 2));\n/**\n * @classdesc\n * Projection object for web/spherical Mercator (EPSG:3857).\n */\nvar EPSG3857Projection = /** @class */ (function (_super) {\n    __extends(EPSG3857Projection, _super);\n    /**\n     * @param {string} code Code.\n     */\n    function EPSG3857Projection(code) {\n        return _super.call(this, {\n            code: code,\n            units: Units.METERS,\n            extent: EXTENT,\n            global: true,\n            worldExtent: WORLD_EXTENT,\n            getPointResolution: function (resolution, point) {\n                return resolution / cosh(point[1] / RADIUS);\n            },\n        }) || this;\n    }\n    return EPSG3857Projection;\n}(Projection));\n/**\n * Projections equal to EPSG:3857.\n *\n * @const\n * @type {Array<import(\"./Projection.js\").default>}\n */\nexport var PROJECTIONS = [\n    new EPSG3857Projection('EPSG:3857'),\n    new EPSG3857Projection('EPSG:102100'),\n    new EPSG3857Projection('EPSG:102113'),\n    new EPSG3857Projection('EPSG:900913'),\n    new EPSG3857Projection('http://www.opengis.net/def/crs/EPSG/0/3857'),\n    new EPSG3857Projection('http://www.opengis.net/gml/srs/epsg.xml#3857'),\n];\n/**\n * Transformation from EPSG:4326 to EPSG:3857.\n *\n * @param {Array<number>} input Input array of coordinate values.\n * @param {Array<number>} [opt_output] Output array of coordinate values.\n * @param {number} [opt_dimension] Dimension (default is `2`).\n * @return {Array<number>} Output array of coordinate values.\n */\nexport function fromEPSG4326(input, opt_output, opt_dimension) {\n    var length = input.length;\n    var dimension = opt_dimension > 1 ? opt_dimension : 2;\n    var output = opt_output;\n    if (output === undefined) {\n        if (dimension > 2) {\n            // preserve values beyond second dimension\n            output = input.slice();\n        }\n        else {\n            output = new Array(length);\n        }\n    }\n    for (var i = 0; i < length; i += dimension) {\n        output[i] = (HALF_SIZE * input[i]) / 180;\n        var y = RADIUS * Math.log(Math.tan((Math.PI * (+input[i + 1] + 90)) / 360));\n        if (y > MAX_SAFE_Y) {\n            y = MAX_SAFE_Y;\n        }\n        else if (y < -MAX_SAFE_Y) {\n            y = -MAX_SAFE_Y;\n        }\n        output[i + 1] = y;\n    }\n    return output;\n}\n/**\n * Transformation from EPSG:3857 to EPSG:4326.\n *\n * @param {Array<number>} input Input array of coordinate values.\n * @param {Array<number>} [opt_output] Output array of coordinate values.\n * @param {number} [opt_dimension] Dimension (default is `2`).\n * @return {Array<number>} Output array of coordinate values.\n */\nexport function toEPSG4326(input, opt_output, opt_dimension) {\n    var length = input.length;\n    var dimension = opt_dimension > 1 ? opt_dimension : 2;\n    var output = opt_output;\n    if (output === undefined) {\n        if (dimension > 2) {\n            // preserve values beyond second dimension\n            output = input.slice();\n        }\n        else {\n            output = new Array(length);\n        }\n    }\n    for (var i = 0; i < length; i += dimension) {\n        output[i] = (180 * input[i]) / HALF_SIZE;\n        output[i + 1] =\n            (360 * Math.atan(Math.exp(input[i + 1] / RADIUS))) / Math.PI - 90;\n    }\n    return output;\n}\n//# sourceMappingURL=epsg3857.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/proj/epsg4326\n */\nimport Projection from './Projection.js';\nimport Units from './Units.js';\n/**\n * Semi-major radius of the WGS84 ellipsoid.\n *\n * @const\n * @type {number}\n */\nexport var RADIUS = 6378137;\n/**\n * Extent of the EPSG:4326 projection which is the whole world.\n *\n * @const\n * @type {import(\"../extent.js\").Extent}\n */\nexport var EXTENT = [-180, -90, 180, 90];\n/**\n * @const\n * @type {number}\n */\nexport var METERS_PER_UNIT = (Math.PI * RADIUS) / 180;\n/**\n * @classdesc\n * Projection object for WGS84 geographic coordinates (EPSG:4326).\n *\n * Note that OpenLayers does not strictly comply with the EPSG definition.\n * The EPSG registry defines 4326 as a CRS for Latitude,Longitude (y,x).\n * OpenLayers treats EPSG:4326 as a pseudo-projection, with x,y coordinates.\n */\nvar EPSG4326Projection = /** @class */ (function (_super) {\n    __extends(EPSG4326Projection, _super);\n    /**\n     * @param {string} code Code.\n     * @param {string} [opt_axisOrientation] Axis orientation.\n     */\n    function EPSG4326Projection(code, opt_axisOrientation) {\n        return _super.call(this, {\n            code: code,\n            units: Units.DEGREES,\n            extent: EXTENT,\n            axisOrientation: opt_axisOrientation,\n            global: true,\n            metersPerUnit: METERS_PER_UNIT,\n            worldExtent: EXTENT,\n        }) || this;\n    }\n    return EPSG4326Projection;\n}(Projection));\n/**\n * Projections equal to EPSG:4326.\n *\n * @const\n * @type {Array<import(\"./Projection.js\").default>}\n */\nexport var PROJECTIONS = [\n    new EPSG4326Projection('CRS:84'),\n    new EPSG4326Projection('EPSG:4326', 'neu'),\n    new EPSG4326Projection('urn:ogc:def:crs:OGC:1.3:CRS84'),\n    new EPSG4326Projection('urn:ogc:def:crs:OGC:2:84'),\n    new EPSG4326Projection('http://www.opengis.net/def/crs/OGC/1.3/CRS84'),\n    new EPSG4326Projection('http://www.opengis.net/gml/srs/epsg.xml#4326', 'neu'),\n    new EPSG4326Projection('http://www.opengis.net/def/crs/EPSG/0/4326', 'neu'),\n];\n//# sourceMappingURL=epsg4326.js.map","/**\n * @module ol/proj/projections\n */\n/**\n * @type {Object<string, import(\"./Projection.js\").default>}\n */\nvar cache = {};\n/**\n * Clear the projections cache.\n */\nexport function clear() {\n    cache = {};\n}\n/**\n * Get a cached projection by code.\n * @param {string} code The code for the projection.\n * @return {import(\"./Projection.js\").default} The projection (if cached).\n */\nexport function get(code) {\n    return (cache[code] ||\n        cache[code.replace(/urn:(x-)?ogc:def:crs:EPSG:(.*:)?(\\w+)$/, 'EPSG:$3')] ||\n        null);\n}\n/**\n * Add a projection to the cache.\n * @param {string} code The projection code.\n * @param {import(\"./Projection.js\").default} projection The projection to cache.\n */\nexport function add(code, projection) {\n    cache[code] = projection;\n}\n//# sourceMappingURL=projections.js.map","/**\n * @module ol/proj/transforms\n */\nimport { isEmpty } from '../obj.js';\n/**\n * @private\n * @type {!Object<string, Object<string, import(\"../proj.js\").TransformFunction>>}\n */\nvar transforms = {};\n/**\n * Clear the transform cache.\n */\nexport function clear() {\n    transforms = {};\n}\n/**\n * Registers a conversion function to convert coordinates from the source\n * projection to the destination projection.\n *\n * @param {import(\"./Projection.js\").default} source Source.\n * @param {import(\"./Projection.js\").default} destination Destination.\n * @param {import(\"../proj.js\").TransformFunction} transformFn Transform.\n */\nexport function add(source, destination, transformFn) {\n    var sourceCode = source.getCode();\n    var destinationCode = destination.getCode();\n    if (!(sourceCode in transforms)) {\n        transforms[sourceCode] = {};\n    }\n    transforms[sourceCode][destinationCode] = transformFn;\n}\n/**\n * Unregisters the conversion function to convert coordinates from the source\n * projection to the destination projection.  This method is used to clean up\n * cached transforms during testing.\n *\n * @param {import(\"./Projection.js\").default} source Source projection.\n * @param {import(\"./Projection.js\").default} destination Destination projection.\n * @return {import(\"../proj.js\").TransformFunction} transformFn The unregistered transform.\n */\nexport function remove(source, destination) {\n    var sourceCode = source.getCode();\n    var destinationCode = destination.getCode();\n    var transform = transforms[sourceCode][destinationCode];\n    delete transforms[sourceCode][destinationCode];\n    if (isEmpty(transforms[sourceCode])) {\n        delete transforms[sourceCode];\n    }\n    return transform;\n}\n/**\n * Get a transform given a source code and a destination code.\n * @param {string} sourceCode The code for the source projection.\n * @param {string} destinationCode The code for the destination projection.\n * @return {import(\"../proj.js\").TransformFunction|undefined} The transform function (if found).\n */\nexport function get(sourceCode, destinationCode) {\n    var transform;\n    if (sourceCode in transforms && destinationCode in transforms[sourceCode]) {\n        transform = transforms[sourceCode][destinationCode];\n    }\n    return transform;\n}\n//# sourceMappingURL=transforms.js.map","/**\n * @module ol/sphere\n */\nimport GeometryType from './geom/GeometryType.js';\nimport { toDegrees, toRadians } from './math.js';\n/**\n * Object literal with options for the {@link getLength} or {@link getArea}\n * functions.\n * @typedef {Object} SphereMetricOptions\n * @property {import(\"./proj.js\").ProjectionLike} [projection='EPSG:3857']\n * Projection of the  geometry.  By default, the geometry is assumed to be in\n * Web Mercator.\n * @property {number} [radius=6371008.8] Sphere radius.  By default, the\n * [mean Earth radius](https://en.wikipedia.org/wiki/Earth_radius#Mean_radius)\n * for the WGS84 ellipsoid is used.\n */\n/**\n * The mean Earth radius (1/3 * (2a + b)) for the WGS84 ellipsoid.\n * https://en.wikipedia.org/wiki/Earth_radius#Mean_radius\n * @type {number}\n */\nexport var DEFAULT_RADIUS = 6371008.8;\n/**\n * Get the great circle distance (in meters) between two geographic coordinates.\n * @param {Array} c1 Starting coordinate.\n * @param {Array} c2 Ending coordinate.\n * @param {number} [opt_radius] The sphere radius to use.  Defaults to the Earth's\n *     mean radius using the WGS84 ellipsoid.\n * @return {number} The great circle distance between the points (in meters).\n * @api\n */\nexport function getDistance(c1, c2, opt_radius) {\n    var radius = opt_radius || DEFAULT_RADIUS;\n    var lat1 = toRadians(c1[1]);\n    var lat2 = toRadians(c2[1]);\n    var deltaLatBy2 = (lat2 - lat1) / 2;\n    var deltaLonBy2 = toRadians(c2[0] - c1[0]) / 2;\n    var a = Math.sin(deltaLatBy2) * Math.sin(deltaLatBy2) +\n        Math.sin(deltaLonBy2) *\n            Math.sin(deltaLonBy2) *\n            Math.cos(lat1) *\n            Math.cos(lat2);\n    return 2 * radius * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n}\n/**\n * Get the cumulative great circle length of linestring coordinates (geographic).\n * @param {Array} coordinates Linestring coordinates.\n * @param {number} radius The sphere radius to use.\n * @return {number} The length (in meters).\n */\nfunction getLengthInternal(coordinates, radius) {\n    var length = 0;\n    for (var i = 0, ii = coordinates.length; i < ii - 1; ++i) {\n        length += getDistance(coordinates[i], coordinates[i + 1], radius);\n    }\n    return length;\n}\n/**\n * Get the spherical length of a geometry.  This length is the sum of the\n * great circle distances between coordinates.  For polygons, the length is\n * the sum of all rings.  For points, the length is zero.  For multi-part\n * geometries, the length is the sum of the length of each part.\n * @param {import(\"./geom/Geometry.js\").default} geometry A geometry.\n * @param {SphereMetricOptions} [opt_options] Options for the\n * length calculation.  By default, geometries are assumed to be in 'EPSG:3857'.\n * You can change this by providing a `projection` option.\n * @return {number} The spherical length (in meters).\n * @api\n */\nexport function getLength(geometry, opt_options) {\n    var options = opt_options || {};\n    var radius = options.radius || DEFAULT_RADIUS;\n    var projection = options.projection || 'EPSG:3857';\n    var type = geometry.getType();\n    if (type !== GeometryType.GEOMETRY_COLLECTION) {\n        geometry = geometry.clone().transform(projection, 'EPSG:4326');\n    }\n    var length = 0;\n    var coordinates, coords, i, ii, j, jj;\n    switch (type) {\n        case GeometryType.POINT:\n        case GeometryType.MULTI_POINT: {\n            break;\n        }\n        case GeometryType.LINE_STRING:\n        case GeometryType.LINEAR_RING: {\n            coordinates = /** @type {import(\"./geom/SimpleGeometry.js\").default} */ (geometry).getCoordinates();\n            length = getLengthInternal(coordinates, radius);\n            break;\n        }\n        case GeometryType.MULTI_LINE_STRING:\n        case GeometryType.POLYGON: {\n            coordinates = /** @type {import(\"./geom/SimpleGeometry.js\").default} */ (geometry).getCoordinates();\n            for (i = 0, ii = coordinates.length; i < ii; ++i) {\n                length += getLengthInternal(coordinates[i], radius);\n            }\n            break;\n        }\n        case GeometryType.MULTI_POLYGON: {\n            coordinates = /** @type {import(\"./geom/SimpleGeometry.js\").default} */ (geometry).getCoordinates();\n            for (i = 0, ii = coordinates.length; i < ii; ++i) {\n                coords = coordinates[i];\n                for (j = 0, jj = coords.length; j < jj; ++j) {\n                    length += getLengthInternal(coords[j], radius);\n                }\n            }\n            break;\n        }\n        case GeometryType.GEOMETRY_COLLECTION: {\n            var geometries = \n            /** @type {import(\"./geom/GeometryCollection.js\").default} */ (geometry).getGeometries();\n            for (i = 0, ii = geometries.length; i < ii; ++i) {\n                length += getLength(geometries[i], opt_options);\n            }\n            break;\n        }\n        default: {\n            throw new Error('Unsupported geometry type: ' + type);\n        }\n    }\n    return length;\n}\n/**\n * Returns the spherical area for a list of coordinates.\n *\n * [Reference](https://trs.jpl.nasa.gov/handle/2014/40409)\n * Robert. G. Chamberlain and William H. Duquette, \"Some Algorithms for\n * Polygons on a Sphere\", JPL Publication 07-03, Jet Propulsion\n * Laboratory, Pasadena, CA, June 2007\n *\n * @param {Array<import(\"./coordinate.js\").Coordinate>} coordinates List of coordinates of a linear\n * ring. If the ring is oriented clockwise, the area will be positive,\n * otherwise it will be negative.\n * @param {number} radius The sphere radius.\n * @return {number} Area (in square meters).\n */\nfunction getAreaInternal(coordinates, radius) {\n    var area = 0;\n    var len = coordinates.length;\n    var x1 = coordinates[len - 1][0];\n    var y1 = coordinates[len - 1][1];\n    for (var i = 0; i < len; i++) {\n        var x2 = coordinates[i][0];\n        var y2 = coordinates[i][1];\n        area +=\n            toRadians(x2 - x1) *\n                (2 + Math.sin(toRadians(y1)) + Math.sin(toRadians(y2)));\n        x1 = x2;\n        y1 = y2;\n    }\n    return (area * radius * radius) / 2.0;\n}\n/**\n * Get the spherical area of a geometry.  This is the area (in meters) assuming\n * that polygon edges are segments of great circles on a sphere.\n * @param {import(\"./geom/Geometry.js\").default} geometry A geometry.\n * @param {SphereMetricOptions} [opt_options] Options for the area\n *     calculation.  By default, geometries are assumed to be in 'EPSG:3857'.\n *     You can change this by providing a `projection` option.\n * @return {number} The spherical area (in square meters).\n * @api\n */\nexport function getArea(geometry, opt_options) {\n    var options = opt_options || {};\n    var radius = options.radius || DEFAULT_RADIUS;\n    var projection = options.projection || 'EPSG:3857';\n    var type = geometry.getType();\n    if (type !== GeometryType.GEOMETRY_COLLECTION) {\n        geometry = geometry.clone().transform(projection, 'EPSG:4326');\n    }\n    var area = 0;\n    var coordinates, coords, i, ii, j, jj;\n    switch (type) {\n        case GeometryType.POINT:\n        case GeometryType.MULTI_POINT:\n        case GeometryType.LINE_STRING:\n        case GeometryType.MULTI_LINE_STRING:\n        case GeometryType.LINEAR_RING: {\n            break;\n        }\n        case GeometryType.POLYGON: {\n            coordinates = /** @type {import(\"./geom/Polygon.js\").default} */ (geometry).getCoordinates();\n            area = Math.abs(getAreaInternal(coordinates[0], radius));\n            for (i = 1, ii = coordinates.length; i < ii; ++i) {\n                area -= Math.abs(getAreaInternal(coordinates[i], radius));\n            }\n            break;\n        }\n        case GeometryType.MULTI_POLYGON: {\n            coordinates = /** @type {import(\"./geom/SimpleGeometry.js\").default} */ (geometry).getCoordinates();\n            for (i = 0, ii = coordinates.length; i < ii; ++i) {\n                coords = coordinates[i];\n                area += Math.abs(getAreaInternal(coords[0], radius));\n                for (j = 1, jj = coords.length; j < jj; ++j) {\n                    area -= Math.abs(getAreaInternal(coords[j], radius));\n                }\n            }\n            break;\n        }\n        case GeometryType.GEOMETRY_COLLECTION: {\n            var geometries = \n            /** @type {import(\"./geom/GeometryCollection.js\").default} */ (geometry).getGeometries();\n            for (i = 0, ii = geometries.length; i < ii; ++i) {\n                area += getArea(geometries[i], opt_options);\n            }\n            break;\n        }\n        default: {\n            throw new Error('Unsupported geometry type: ' + type);\n        }\n    }\n    return area;\n}\n/**\n * Returns the coordinate at the given distance and bearing from `c1`.\n *\n * @param {import(\"./coordinate.js\").Coordinate} c1 The origin point (`[lon, lat]` in degrees).\n * @param {number} distance The great-circle distance between the origin\n *     point and the target point.\n * @param {number} bearing The bearing (in radians).\n * @param {number} [opt_radius] The sphere radius to use.  Defaults to the Earth's\n *     mean radius using the WGS84 ellipsoid.\n * @return {import(\"./coordinate.js\").Coordinate} The target point.\n */\nexport function offset(c1, distance, bearing, opt_radius) {\n    var radius = opt_radius || DEFAULT_RADIUS;\n    var lat1 = toRadians(c1[1]);\n    var lon1 = toRadians(c1[0]);\n    var dByR = distance / radius;\n    var lat = Math.asin(Math.sin(lat1) * Math.cos(dByR) +\n        Math.cos(lat1) * Math.sin(dByR) * Math.cos(bearing));\n    var lon = lon1 +\n        Math.atan2(Math.sin(bearing) * Math.sin(dByR) * Math.cos(lat1), Math.cos(dByR) - Math.sin(lat1) * Math.sin(lat));\n    return [toDegrees(lon), toDegrees(lat)];\n}\n//# sourceMappingURL=sphere.js.map","/**\n * @module ol/string\n */\n/**\n * @param {number} number Number to be formatted\n * @param {number} width The desired width\n * @param {number} [opt_precision] Precision of the output string (i.e. number of decimal places)\n * @return {string} Formatted string\n */\nexport function padNumber(number, width, opt_precision) {\n    var numberString = opt_precision !== undefined ? number.toFixed(opt_precision) : '' + number;\n    var decimal = numberString.indexOf('.');\n    decimal = decimal === -1 ? numberString.length : decimal;\n    return decimal > width\n        ? numberString\n        : new Array(1 + width - decimal).join('0') + numberString;\n}\n/**\n * Adapted from https://github.com/omichelsen/compare-versions/blob/master/index.js\n * @param {string|number} v1 First version\n * @param {string|number} v2 Second version\n * @return {number} Value\n */\nexport function compareVersions(v1, v2) {\n    var s1 = ('' + v1).split('.');\n    var s2 = ('' + v2).split('.');\n    for (var i = 0; i < Math.max(s1.length, s2.length); i++) {\n        var n1 = parseInt(s1[i] || '0', 10);\n        var n2 = parseInt(s2[i] || '0', 10);\n        if (n1 > n2) {\n            return 1;\n        }\n        if (n2 > n1) {\n            return -1;\n        }\n    }\n    return 0;\n}\n//# sourceMappingURL=string.js.map","/**\n * @module ol/coordinate\n */\nimport { getWidth } from './extent.js';\nimport { modulo } from './math.js';\nimport { padNumber } from './string.js';\n/**\n * An array of numbers representing an xy coordinate. Example: `[16, 48]`.\n * @typedef {Array<number>} Coordinate\n * @api\n */\n/**\n * A function that takes a {@link module:ol/coordinate~Coordinate} and\n * transforms it into a `{string}`.\n *\n * @typedef {function((Coordinate|undefined)): string} CoordinateFormat\n * @api\n */\n/**\n * Add `delta` to `coordinate`. `coordinate` is modified in place and returned\n * by the function.\n *\n * Example:\n *\n *     import {add} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     add(coord, [-2, 4]);\n *     // coord is now [5.85, 51.983333]\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {Coordinate} delta Delta.\n * @return {Coordinate} The input coordinate adjusted by\n * the given delta.\n * @api\n */\nexport function add(coordinate, delta) {\n    coordinate[0] += +delta[0];\n    coordinate[1] += +delta[1];\n    return coordinate;\n}\n/**\n * Calculates the point closest to the passed coordinate on the passed circle.\n *\n * @param {Coordinate} coordinate The coordinate.\n * @param {import(\"./geom/Circle.js\").default} circle The circle.\n * @return {Coordinate} Closest point on the circumference.\n */\nexport function closestOnCircle(coordinate, circle) {\n    var r = circle.getRadius();\n    var center = circle.getCenter();\n    var x0 = center[0];\n    var y0 = center[1];\n    var x1 = coordinate[0];\n    var y1 = coordinate[1];\n    var dx = x1 - x0;\n    var dy = y1 - y0;\n    if (dx === 0 && dy === 0) {\n        dx = 1;\n    }\n    var d = Math.sqrt(dx * dx + dy * dy);\n    var x = x0 + (r * dx) / d;\n    var y = y0 + (r * dy) / d;\n    return [x, y];\n}\n/**\n * Calculates the point closest to the passed coordinate on the passed segment.\n * This is the foot of the perpendicular of the coordinate to the segment when\n * the foot is on the segment, or the closest segment coordinate when the foot\n * is outside the segment.\n *\n * @param {Coordinate} coordinate The coordinate.\n * @param {Array<Coordinate>} segment The two coordinates\n * of the segment.\n * @return {Coordinate} The foot of the perpendicular of\n * the coordinate to the segment.\n */\nexport function closestOnSegment(coordinate, segment) {\n    var x0 = coordinate[0];\n    var y0 = coordinate[1];\n    var start = segment[0];\n    var end = segment[1];\n    var x1 = start[0];\n    var y1 = start[1];\n    var x2 = end[0];\n    var y2 = end[1];\n    var dx = x2 - x1;\n    var dy = y2 - y1;\n    var along = dx === 0 && dy === 0\n        ? 0\n        : (dx * (x0 - x1) + dy * (y0 - y1)) / (dx * dx + dy * dy || 0);\n    var x, y;\n    if (along <= 0) {\n        x = x1;\n        y = y1;\n    }\n    else if (along >= 1) {\n        x = x2;\n        y = y2;\n    }\n    else {\n        x = x1 + along * dx;\n        y = y1 + along * dy;\n    }\n    return [x, y];\n}\n/**\n * Returns a {@link module:ol/coordinate~CoordinateFormat} function that can be\n * used to format\n * a {Coordinate} to a string.\n *\n * Example without specifying the fractional digits:\n *\n *     import {createStringXY} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var stringifyFunc = createStringXY();\n *     var out = stringifyFunc(coord);\n *     // out is now '8, 48'\n *\n * Example with explicitly specifying 2 fractional digits:\n *\n *     import {createStringXY} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var stringifyFunc = createStringXY(2);\n *     var out = stringifyFunc(coord);\n *     // out is now '7.85, 47.98'\n *\n * @param {number} [opt_fractionDigits] The number of digits to include\n *    after the decimal point. Default is `0`.\n * @return {CoordinateFormat} Coordinate format.\n * @api\n */\nexport function createStringXY(opt_fractionDigits) {\n    return (\n    /**\n     * @param {Coordinate} coordinate Coordinate.\n     * @return {string} String XY.\n     */\n    function (coordinate) {\n        return toStringXY(coordinate, opt_fractionDigits);\n    });\n}\n/**\n * @param {string} hemispheres Hemispheres.\n * @param {number} degrees Degrees.\n * @param {number} [opt_fractionDigits] The number of digits to include\n *    after the decimal point. Default is `0`.\n * @return {string} String.\n */\nexport function degreesToStringHDMS(hemispheres, degrees, opt_fractionDigits) {\n    var normalizedDegrees = modulo(degrees + 180, 360) - 180;\n    var x = Math.abs(3600 * normalizedDegrees);\n    var dflPrecision = opt_fractionDigits || 0;\n    var precision = Math.pow(10, dflPrecision);\n    var deg = Math.floor(x / 3600);\n    var min = Math.floor((x - deg * 3600) / 60);\n    var sec = x - deg * 3600 - min * 60;\n    sec = Math.ceil(sec * precision) / precision;\n    if (sec >= 60) {\n        sec = 0;\n        min += 1;\n    }\n    if (min >= 60) {\n        min = 0;\n        deg += 1;\n    }\n    return (deg +\n        '\\u00b0 ' +\n        padNumber(min, 2) +\n        '\\u2032 ' +\n        padNumber(sec, 2, dflPrecision) +\n        '\\u2033' +\n        (normalizedDegrees == 0\n            ? ''\n            : ' ' + hemispheres.charAt(normalizedDegrees < 0 ? 1 : 0)));\n}\n/**\n * Transforms the given {@link module:ol/coordinate~Coordinate} to a string\n * using the given string template. The strings `{x}` and `{y}` in the template\n * will be replaced with the first and second coordinate values respectively.\n *\n * Example without specifying the fractional digits:\n *\n *     import {format} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var template = 'Coordinate is ({x}|{y}).';\n *     var out = format(coord, template);\n *     // out is now 'Coordinate is (8|48).'\n *\n * Example explicitly specifying the fractional digits:\n *\n *     import {format} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var template = 'Coordinate is ({x}|{y}).';\n *     var out = format(coord, template, 2);\n *     // out is now 'Coordinate is (7.85|47.98).'\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {string} template A template string with `{x}` and `{y}` placeholders\n *     that will be replaced by first and second coordinate values.\n * @param {number} [opt_fractionDigits] The number of digits to include\n *    after the decimal point. Default is `0`.\n * @return {string} Formatted coordinate.\n * @api\n */\nexport function format(coordinate, template, opt_fractionDigits) {\n    if (coordinate) {\n        return template\n            .replace('{x}', coordinate[0].toFixed(opt_fractionDigits))\n            .replace('{y}', coordinate[1].toFixed(opt_fractionDigits));\n    }\n    else {\n        return '';\n    }\n}\n/**\n * @param {Coordinate} coordinate1 First coordinate.\n * @param {Coordinate} coordinate2 Second coordinate.\n * @return {boolean} The two coordinates are equal.\n */\nexport function equals(coordinate1, coordinate2) {\n    var equals = true;\n    for (var i = coordinate1.length - 1; i >= 0; --i) {\n        if (coordinate1[i] != coordinate2[i]) {\n            equals = false;\n            break;\n        }\n    }\n    return equals;\n}\n/**\n * Rotate `coordinate` by `angle`. `coordinate` is modified in place and\n * returned by the function.\n *\n * Example:\n *\n *     import {rotate} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var rotateRadians = Math.PI / 2; // 90 degrees\n *     rotate(coord, rotateRadians);\n *     // coord is now [-47.983333, 7.85]\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {number} angle Angle in radian.\n * @return {Coordinate} Coordinate.\n * @api\n */\nexport function rotate(coordinate, angle) {\n    var cosAngle = Math.cos(angle);\n    var sinAngle = Math.sin(angle);\n    var x = coordinate[0] * cosAngle - coordinate[1] * sinAngle;\n    var y = coordinate[1] * cosAngle + coordinate[0] * sinAngle;\n    coordinate[0] = x;\n    coordinate[1] = y;\n    return coordinate;\n}\n/**\n * Scale `coordinate` by `scale`. `coordinate` is modified in place and returned\n * by the function.\n *\n * Example:\n *\n *     import {scale as scaleCoordinate} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var scale = 1.2;\n *     scaleCoordinate(coord, scale);\n *     // coord is now [9.42, 57.5799996]\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {number} scale Scale factor.\n * @return {Coordinate} Coordinate.\n */\nexport function scale(coordinate, scale) {\n    coordinate[0] *= scale;\n    coordinate[1] *= scale;\n    return coordinate;\n}\n/**\n * @param {Coordinate} coord1 First coordinate.\n * @param {Coordinate} coord2 Second coordinate.\n * @return {number} Squared distance between coord1 and coord2.\n */\nexport function squaredDistance(coord1, coord2) {\n    var dx = coord1[0] - coord2[0];\n    var dy = coord1[1] - coord2[1];\n    return dx * dx + dy * dy;\n}\n/**\n * @param {Coordinate} coord1 First coordinate.\n * @param {Coordinate} coord2 Second coordinate.\n * @return {number} Distance between coord1 and coord2.\n */\nexport function distance(coord1, coord2) {\n    return Math.sqrt(squaredDistance(coord1, coord2));\n}\n/**\n * Calculate the squared distance from a coordinate to a line segment.\n *\n * @param {Coordinate} coordinate Coordinate of the point.\n * @param {Array<Coordinate>} segment Line segment (2\n * coordinates).\n * @return {number} Squared distance from the point to the line segment.\n */\nexport function squaredDistanceToSegment(coordinate, segment) {\n    return squaredDistance(coordinate, closestOnSegment(coordinate, segment));\n}\n/**\n * Format a geographic coordinate with the hemisphere, degrees, minutes, and\n * seconds.\n *\n * Example without specifying fractional digits:\n *\n *     import {toStringHDMS} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var out = toStringHDMS(coord);\n *     // out is now '47° 58′ 60″ N 7° 50′ 60″ E'\n *\n * Example explicitly specifying 1 fractional digit:\n *\n *     import {toStringHDMS} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var out = toStringHDMS(coord, 1);\n *     // out is now '47° 58′ 60.0″ N 7° 50′ 60.0″ E'\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {number} [opt_fractionDigits] The number of digits to include\n *    after the decimal point. Default is `0`.\n * @return {string} Hemisphere, degrees, minutes and seconds.\n * @api\n */\nexport function toStringHDMS(coordinate, opt_fractionDigits) {\n    if (coordinate) {\n        return (degreesToStringHDMS('NS', coordinate[1], opt_fractionDigits) +\n            ' ' +\n            degreesToStringHDMS('EW', coordinate[0], opt_fractionDigits));\n    }\n    else {\n        return '';\n    }\n}\n/**\n * Format a coordinate as a comma delimited string.\n *\n * Example without specifying fractional digits:\n *\n *     import {toStringXY} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var out = toStringXY(coord);\n *     // out is now '8, 48'\n *\n * Example explicitly specifying 1 fractional digit:\n *\n *     import {toStringXY} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var out = toStringXY(coord, 1);\n *     // out is now '7.8, 48.0'\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {number} [opt_fractionDigits] The number of digits to include\n *    after the decimal point. Default is `0`.\n * @return {string} XY.\n * @api\n */\nexport function toStringXY(coordinate, opt_fractionDigits) {\n    return format(coordinate, '{x}, {y}', opt_fractionDigits);\n}\n/**\n * Modifies the provided coordinate in-place to be within the real world\n * extent. The lower projection extent boundary is inclusive, the upper one\n * exclusive.\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @return {Coordinate} The coordinate within the real world extent.\n */\nexport function wrapX(coordinate, projection) {\n    if (projection.canWrapX()) {\n        var worldWidth = getWidth(projection.getExtent());\n        var worldsAway = getWorldsAway(coordinate, projection, worldWidth);\n        if (worldsAway) {\n            coordinate[0] -= worldsAway * worldWidth;\n        }\n    }\n    return coordinate;\n}\n/**\n * @param {Coordinate} coordinate Coordinate.\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @param {number} [opt_sourceExtentWidth] Width of the source extent.\n * @return {number} Offset in world widths.\n */\nexport function getWorldsAway(coordinate, projection, opt_sourceExtentWidth) {\n    var projectionExtent = projection.getExtent();\n    var worldsAway = 0;\n    if (projection.canWrapX() &&\n        (coordinate[0] < projectionExtent[0] || coordinate[0] > projectionExtent[2])) {\n        var sourceExtentWidth = opt_sourceExtentWidth || getWidth(projectionExtent);\n        worldsAway = Math.floor((coordinate[0] - projectionExtent[0]) / sourceExtentWidth);\n    }\n    return worldsAway;\n}\n//# sourceMappingURL=coordinate.js.map","/**\n * @module ol/proj\n */\n/**\n * The ol/proj module stores:\n * * a list of {@link module:ol/proj/Projection}\n * objects, one for each projection supported by the application\n * * a list of transform functions needed to convert coordinates in one projection\n * into another.\n *\n * The static functions are the methods used to maintain these.\n * Each transform function can handle not only simple coordinate pairs, but also\n * large arrays of coordinates such as vector geometries.\n *\n * When loaded, the library adds projection objects for EPSG:4326 (WGS84\n * geographic coordinates) and EPSG:3857 (Web or Spherical Mercator, as used\n * for example by Bing Maps or OpenStreetMap), together with the relevant\n * transform functions.\n *\n * Additional transforms may be added by using the http://proj4js.org/\n * library (version 2.2 or later). You can use the full build supplied by\n * Proj4js, or create a custom build to support those projections you need; see\n * the Proj4js website for how to do this. You also need the Proj4js definitions\n * for the required projections. These definitions can be obtained from\n * https://epsg.io/, and are a JS function, so can be loaded in a script\n * tag (as in the examples) or pasted into your application.\n *\n * After all required projection definitions are added to proj4's registry (by\n * using `proj4.defs()`), simply call `register(proj4)` from the `ol/proj/proj4`\n * package. Existing transforms are not changed by this function. See\n * examples/wms-image-custom-proj for an example of this.\n *\n * Additional projection definitions can be registered with `proj4.defs()` any\n * time. Just make sure to call `register(proj4)` again; for example, with user-supplied data where you don't\n * know in advance what projections are needed, you can initially load minimal\n * support and then load whichever are requested.\n *\n * Note that Proj4js does not support projection extents. If you want to add\n * one for creating default tile grids, you can add it after the Projection\n * object has been created with `setExtent`, for example,\n * `get('EPSG:1234').setExtent(extent)`.\n *\n * In addition to Proj4js support, any transform functions can be added with\n * {@link module:ol/proj.addCoordinateTransforms}. To use this, you must first create\n * a {@link module:ol/proj/Projection} object for the new projection and add it with\n * {@link module:ol/proj.addProjection}. You can then add the forward and inverse\n * functions with {@link module:ol/proj.addCoordinateTransforms}. See\n * examples/wms-custom-proj for an example of this.\n *\n * Note that if no transforms are needed and you only need to define the\n * projection, just add a {@link module:ol/proj/Projection} with\n * {@link module:ol/proj.addProjection}. See examples/wms-no-proj for an example of\n * this.\n */\nimport Projection from './proj/Projection.js';\nimport Units, { METERS_PER_UNIT } from './proj/Units.js';\nimport { PROJECTIONS as EPSG3857_PROJECTIONS, fromEPSG4326, toEPSG4326, } from './proj/epsg3857.js';\nimport { PROJECTIONS as EPSG4326_PROJECTIONS } from './proj/epsg4326.js';\nimport { add as addProj, clear as clearProj, get as getProj, } from './proj/projections.js';\nimport { add as addTransformFunc, clear as clearTransformFuncs, get as getTransformFunc, } from './proj/transforms.js';\nimport { applyTransform, getWidth } from './extent.js';\nimport { clamp, modulo } from './math.js';\nimport { getDistance } from './sphere.js';\nimport { getWorldsAway } from './coordinate.js';\n/**\n * A projection as {@link module:ol/proj/Projection}, SRS identifier\n * string or undefined.\n * @typedef {Projection|string|undefined} ProjectionLike\n * @api\n */\n/**\n * A transform function accepts an array of input coordinate values, an optional\n * output array, and an optional dimension (default should be 2).  The function\n * transforms the input coordinate values, populates the output array, and\n * returns the output array.\n *\n * @typedef {function(Array<number>, Array<number>=, number=): Array<number>} TransformFunction\n * @api\n */\nexport { METERS_PER_UNIT };\nexport { Projection };\n/**\n * @param {Array<number>} input Input coordinate array.\n * @param {Array<number>} [opt_output] Output array of coordinate values.\n * @param {number} [opt_dimension] Dimension.\n * @return {Array<number>} Output coordinate array (new array, same coordinate\n *     values).\n */\nexport function cloneTransform(input, opt_output, opt_dimension) {\n    var output;\n    if (opt_output !== undefined) {\n        for (var i = 0, ii = input.length; i < ii; ++i) {\n            opt_output[i] = input[i];\n        }\n        output = opt_output;\n    }\n    else {\n        output = input.slice();\n    }\n    return output;\n}\n/**\n * @param {Array<number>} input Input coordinate array.\n * @param {Array<number>} [opt_output] Output array of coordinate values.\n * @param {number} [opt_dimension] Dimension.\n * @return {Array<number>} Input coordinate array (same array as input).\n */\nexport function identityTransform(input, opt_output, opt_dimension) {\n    if (opt_output !== undefined && input !== opt_output) {\n        for (var i = 0, ii = input.length; i < ii; ++i) {\n            opt_output[i] = input[i];\n        }\n        input = opt_output;\n    }\n    return input;\n}\n/**\n * Add a Projection object to the list of supported projections that can be\n * looked up by their code.\n *\n * @param {Projection} projection Projection instance.\n * @api\n */\nexport function addProjection(projection) {\n    addProj(projection.getCode(), projection);\n    addTransformFunc(projection, projection, cloneTransform);\n}\n/**\n * @param {Array<Projection>} projections Projections.\n */\nexport function addProjections(projections) {\n    projections.forEach(addProjection);\n}\n/**\n * Fetches a Projection object for the code specified.\n *\n * @param {ProjectionLike} projectionLike Either a code string which is\n *     a combination of authority and identifier such as \"EPSG:4326\", or an\n *     existing projection object, or undefined.\n * @return {Projection} Projection object, or null if not in list.\n * @api\n */\nexport function get(projectionLike) {\n    return typeof projectionLike === 'string'\n        ? getProj(/** @type {string} */ (projectionLike))\n        : /** @type {Projection} */ (projectionLike) || null;\n}\n/**\n * Get the resolution of the point in degrees or distance units.\n * For projections with degrees as the unit this will simply return the\n * provided resolution. For other projections the point resolution is\n * by default estimated by transforming the 'point' pixel to EPSG:4326,\n * measuring its width and height on the normal sphere,\n * and taking the average of the width and height.\n * A custom function can be provided for a specific projection, either\n * by setting the `getPointResolution` option in the\n * {@link module:ol/proj/Projection~Projection} constructor or by using\n * {@link module:ol/proj/Projection~Projection#setGetPointResolution} to change an existing\n * projection object.\n * @param {ProjectionLike} projection The projection.\n * @param {number} resolution Nominal resolution in projection units.\n * @param {import(\"./coordinate.js\").Coordinate} point Point to find adjusted resolution at.\n * @param {import(\"./proj/Units.js\").default} [opt_units] Units to get the point resolution in.\n * Default is the projection's units.\n * @return {number} Point resolution.\n * @api\n */\nexport function getPointResolution(projection, resolution, point, opt_units) {\n    projection = get(projection);\n    var pointResolution;\n    var getter = projection.getPointResolutionFunc();\n    if (getter) {\n        pointResolution = getter(resolution, point);\n        if (opt_units && opt_units !== projection.getUnits()) {\n            var metersPerUnit = projection.getMetersPerUnit();\n            if (metersPerUnit) {\n                pointResolution =\n                    (pointResolution * metersPerUnit) / METERS_PER_UNIT[opt_units];\n            }\n        }\n    }\n    else {\n        var units = projection.getUnits();\n        if ((units == Units.DEGREES && !opt_units) || opt_units == Units.DEGREES) {\n            pointResolution = resolution;\n        }\n        else {\n            // Estimate point resolution by transforming the center pixel to EPSG:4326,\n            // measuring its width and height on the normal sphere, and taking the\n            // average of the width and height.\n            var toEPSG4326_1 = getTransformFromProjections(projection, get('EPSG:4326'));\n            if (toEPSG4326_1 === identityTransform && units !== Units.DEGREES) {\n                // no transform is available\n                pointResolution = resolution * projection.getMetersPerUnit();\n            }\n            else {\n                var vertices = [\n                    point[0] - resolution / 2,\n                    point[1],\n                    point[0] + resolution / 2,\n                    point[1],\n                    point[0],\n                    point[1] - resolution / 2,\n                    point[0],\n                    point[1] + resolution / 2,\n                ];\n                vertices = toEPSG4326_1(vertices, vertices, 2);\n                var width = getDistance(vertices.slice(0, 2), vertices.slice(2, 4));\n                var height = getDistance(vertices.slice(4, 6), vertices.slice(6, 8));\n                pointResolution = (width + height) / 2;\n            }\n            var metersPerUnit = opt_units\n                ? METERS_PER_UNIT[opt_units]\n                : projection.getMetersPerUnit();\n            if (metersPerUnit !== undefined) {\n                pointResolution /= metersPerUnit;\n            }\n        }\n    }\n    return pointResolution;\n}\n/**\n * Registers transformation functions that don't alter coordinates. Those allow\n * to transform between projections with equal meaning.\n *\n * @param {Array<Projection>} projections Projections.\n * @api\n */\nexport function addEquivalentProjections(projections) {\n    addProjections(projections);\n    projections.forEach(function (source) {\n        projections.forEach(function (destination) {\n            if (source !== destination) {\n                addTransformFunc(source, destination, cloneTransform);\n            }\n        });\n    });\n}\n/**\n * Registers transformation functions to convert coordinates in any projection\n * in projection1 to any projection in projection2.\n *\n * @param {Array<Projection>} projections1 Projections with equal\n *     meaning.\n * @param {Array<Projection>} projections2 Projections with equal\n *     meaning.\n * @param {TransformFunction} forwardTransform Transformation from any\n *   projection in projection1 to any projection in projection2.\n * @param {TransformFunction} inverseTransform Transform from any projection\n *   in projection2 to any projection in projection1..\n */\nexport function addEquivalentTransforms(projections1, projections2, forwardTransform, inverseTransform) {\n    projections1.forEach(function (projection1) {\n        projections2.forEach(function (projection2) {\n            addTransformFunc(projection1, projection2, forwardTransform);\n            addTransformFunc(projection2, projection1, inverseTransform);\n        });\n    });\n}\n/**\n * Clear all cached projections and transforms.\n */\nexport function clearAllProjections() {\n    clearProj();\n    clearTransformFuncs();\n}\n/**\n * @param {Projection|string|undefined} projection Projection.\n * @param {string} defaultCode Default code.\n * @return {Projection} Projection.\n */\nexport function createProjection(projection, defaultCode) {\n    if (!projection) {\n        return get(defaultCode);\n    }\n    else if (typeof projection === 'string') {\n        return get(projection);\n    }\n    else {\n        return /** @type {Projection} */ (projection);\n    }\n}\n/**\n * Creates a {@link module:ol/proj~TransformFunction} from a simple 2D coordinate transform\n * function.\n * @param {function(import(\"./coordinate.js\").Coordinate): import(\"./coordinate.js\").Coordinate} coordTransform Coordinate\n *     transform.\n * @return {TransformFunction} Transform function.\n */\nexport function createTransformFromCoordinateTransform(coordTransform) {\n    return (\n    /**\n     * @param {Array<number>} input Input.\n     * @param {Array<number>} [opt_output] Output.\n     * @param {number} [opt_dimension] Dimension.\n     * @return {Array<number>} Output.\n     */\n    function (input, opt_output, opt_dimension) {\n        var length = input.length;\n        var dimension = opt_dimension !== undefined ? opt_dimension : 2;\n        var output = opt_output !== undefined ? opt_output : new Array(length);\n        for (var i = 0; i < length; i += dimension) {\n            var point = coordTransform([input[i], input[i + 1]]);\n            output[i] = point[0];\n            output[i + 1] = point[1];\n            for (var j = dimension - 1; j >= 2; --j) {\n                output[i + j] = input[i + j];\n            }\n        }\n        return output;\n    });\n}\n/**\n * Registers coordinate transform functions to convert coordinates between the\n * source projection and the destination projection.\n * The forward and inverse functions convert coordinate pairs; this function\n * converts these into the functions used internally which also handle\n * extents and coordinate arrays.\n *\n * @param {ProjectionLike} source Source projection.\n * @param {ProjectionLike} destination Destination projection.\n * @param {function(import(\"./coordinate.js\").Coordinate): import(\"./coordinate.js\").Coordinate} forward The forward transform\n *     function (that is, from the source projection to the destination\n *     projection) that takes a {@link module:ol/coordinate~Coordinate} as argument and returns\n *     the transformed {@link module:ol/coordinate~Coordinate}.\n * @param {function(import(\"./coordinate.js\").Coordinate): import(\"./coordinate.js\").Coordinate} inverse The inverse transform\n *     function (that is, from the destination projection to the source\n *     projection) that takes a {@link module:ol/coordinate~Coordinate} as argument and returns\n *     the transformed {@link module:ol/coordinate~Coordinate}.\n * @api\n */\nexport function addCoordinateTransforms(source, destination, forward, inverse) {\n    var sourceProj = get(source);\n    var destProj = get(destination);\n    addTransformFunc(sourceProj, destProj, createTransformFromCoordinateTransform(forward));\n    addTransformFunc(destProj, sourceProj, createTransformFromCoordinateTransform(inverse));\n}\n/**\n * Transforms a coordinate from longitude/latitude to a different projection.\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate as longitude and latitude, i.e.\n *     an array with longitude as 1st and latitude as 2nd element.\n * @param {ProjectionLike} [opt_projection] Target projection. The\n *     default is Web Mercator, i.e. 'EPSG:3857'.\n * @return {import(\"./coordinate.js\").Coordinate} Coordinate projected to the target projection.\n * @api\n */\nexport function fromLonLat(coordinate, opt_projection) {\n    return transform(coordinate, 'EPSG:4326', opt_projection !== undefined ? opt_projection : 'EPSG:3857');\n}\n/**\n * Transforms a coordinate to longitude/latitude.\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Projected coordinate.\n * @param {ProjectionLike} [opt_projection] Projection of the coordinate.\n *     The default is Web Mercator, i.e. 'EPSG:3857'.\n * @return {import(\"./coordinate.js\").Coordinate} Coordinate as longitude and latitude, i.e. an array\n *     with longitude as 1st and latitude as 2nd element.\n * @api\n */\nexport function toLonLat(coordinate, opt_projection) {\n    var lonLat = transform(coordinate, opt_projection !== undefined ? opt_projection : 'EPSG:3857', 'EPSG:4326');\n    var lon = lonLat[0];\n    if (lon < -180 || lon > 180) {\n        lonLat[0] = modulo(lon + 180, 360) - 180;\n    }\n    return lonLat;\n}\n/**\n * Checks if two projections are the same, that is every coordinate in one\n * projection does represent the same geographic point as the same coordinate in\n * the other projection.\n *\n * @param {Projection} projection1 Projection 1.\n * @param {Projection} projection2 Projection 2.\n * @return {boolean} Equivalent.\n * @api\n */\nexport function equivalent(projection1, projection2) {\n    if (projection1 === projection2) {\n        return true;\n    }\n    var equalUnits = projection1.getUnits() === projection2.getUnits();\n    if (projection1.getCode() === projection2.getCode()) {\n        return equalUnits;\n    }\n    else {\n        var transformFunc = getTransformFromProjections(projection1, projection2);\n        return transformFunc === cloneTransform && equalUnits;\n    }\n}\n/**\n * Searches in the list of transform functions for the function for converting\n * coordinates from the source projection to the destination projection.\n *\n * @param {Projection} sourceProjection Source Projection object.\n * @param {Projection} destinationProjection Destination Projection\n *     object.\n * @return {TransformFunction} Transform function.\n */\nexport function getTransformFromProjections(sourceProjection, destinationProjection) {\n    var sourceCode = sourceProjection.getCode();\n    var destinationCode = destinationProjection.getCode();\n    var transformFunc = getTransformFunc(sourceCode, destinationCode);\n    if (!transformFunc) {\n        transformFunc = identityTransform;\n    }\n    return transformFunc;\n}\n/**\n * Given the projection-like objects, searches for a transformation\n * function to convert a coordinates array from the source projection to the\n * destination projection.\n *\n * @param {ProjectionLike} source Source.\n * @param {ProjectionLike} destination Destination.\n * @return {TransformFunction} Transform function.\n * @api\n */\nexport function getTransform(source, destination) {\n    var sourceProjection = get(source);\n    var destinationProjection = get(destination);\n    return getTransformFromProjections(sourceProjection, destinationProjection);\n}\n/**\n * Transforms a coordinate from source projection to destination projection.\n * This returns a new coordinate (and does not modify the original).\n *\n * See {@link module:ol/proj.transformExtent} for extent transformation.\n * See the transform method of {@link module:ol/geom/Geometry~Geometry} and its\n * subclasses for geometry transforms.\n *\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n * @param {ProjectionLike} source Source projection-like.\n * @param {ProjectionLike} destination Destination projection-like.\n * @return {import(\"./coordinate.js\").Coordinate} Coordinate.\n * @api\n */\nexport function transform(coordinate, source, destination) {\n    var transformFunc = getTransform(source, destination);\n    return transformFunc(coordinate, undefined, coordinate.length);\n}\n/**\n * Transforms an extent from source projection to destination projection.  This\n * returns a new extent (and does not modify the original).\n *\n * @param {import(\"./extent.js\").Extent} extent The extent to transform.\n * @param {ProjectionLike} source Source projection-like.\n * @param {ProjectionLike} destination Destination projection-like.\n * @param {number} [opt_stops] Number of stops per side used for the transform.\n * By default only the corners are used.\n * @return {import(\"./extent.js\").Extent} The transformed extent.\n * @api\n */\nexport function transformExtent(extent, source, destination, opt_stops) {\n    var transformFunc = getTransform(source, destination);\n    return applyTransform(extent, transformFunc, undefined, opt_stops);\n}\n/**\n * Transforms the given point to the destination projection.\n *\n * @param {import(\"./coordinate.js\").Coordinate} point Point.\n * @param {Projection} sourceProjection Source projection.\n * @param {Projection} destinationProjection Destination projection.\n * @return {import(\"./coordinate.js\").Coordinate} Point.\n */\nexport function transformWithProjections(point, sourceProjection, destinationProjection) {\n    var transformFunc = getTransformFromProjections(sourceProjection, destinationProjection);\n    return transformFunc(point);\n}\n/**\n * @type {?Projection}\n */\nvar userProjection = null;\n/**\n * Set the projection for coordinates supplied from and returned by API methods.\n * Note that this method is not yet a part of the stable API.  Support for user\n * projections is not yet complete and should be considered experimental.\n * @param {ProjectionLike} projection The user projection.\n */\nexport function setUserProjection(projection) {\n    userProjection = get(projection);\n}\n/**\n * Clear the user projection if set.  Note that this method is not yet a part of\n * the stable API.  Support for user projections is not yet complete and should\n * be considered experimental.\n */\nexport function clearUserProjection() {\n    userProjection = null;\n}\n/**\n * Get the projection for coordinates supplied from and returned by API methods.\n * Note that this method is not yet a part of the stable API.  Support for user\n * projections is not yet complete and should be considered experimental.\n * @return {?Projection} The user projection (or null if not set).\n */\nexport function getUserProjection() {\n    return userProjection;\n}\n/**\n * Use geographic coordinates (WGS-84 datum) in API methods.  Note that this\n * method is not yet a part of the stable API.  Support for user projections is\n * not yet complete and should be considered experimental.\n */\nexport function useGeographic() {\n    setUserProjection('EPSG:4326');\n}\n/**\n * Return a coordinate transformed into the user projection.  If no user projection\n * is set, the original coordinate is returned.\n * @param {Array<number>} coordinate Input coordinate.\n * @param {ProjectionLike} sourceProjection The input coordinate projection.\n * @return {Array<number>} The input coordinate in the user projection.\n */\nexport function toUserCoordinate(coordinate, sourceProjection) {\n    if (!userProjection) {\n        return coordinate;\n    }\n    return transform(coordinate, sourceProjection, userProjection);\n}\n/**\n * Return a coordinate transformed from the user projection.  If no user projection\n * is set, the original coordinate is returned.\n * @param {Array<number>} coordinate Input coordinate.\n * @param {ProjectionLike} destProjection The destination projection.\n * @return {Array<number>} The input coordinate transformed.\n */\nexport function fromUserCoordinate(coordinate, destProjection) {\n    if (!userProjection) {\n        return coordinate;\n    }\n    return transform(coordinate, userProjection, destProjection);\n}\n/**\n * Return an extent transformed into the user projection.  If no user projection\n * is set, the original extent is returned.\n * @param {import(\"./extent.js\").Extent} extent Input extent.\n * @param {ProjectionLike} sourceProjection The input extent projection.\n * @return {import(\"./extent.js\").Extent} The input extent in the user projection.\n */\nexport function toUserExtent(extent, sourceProjection) {\n    if (!userProjection) {\n        return extent;\n    }\n    return transformExtent(extent, sourceProjection, userProjection);\n}\n/**\n * Return an extent transformed from the user projection.  If no user projection\n * is set, the original extent is returned.\n * @param {import(\"./extent.js\").Extent} extent Input extent.\n * @param {ProjectionLike} destProjection The destination projection.\n * @return {import(\"./extent.js\").Extent} The input extent transformed.\n */\nexport function fromUserExtent(extent, destProjection) {\n    if (!userProjection) {\n        return extent;\n    }\n    return transformExtent(extent, userProjection, destProjection);\n}\n/**\n * Return the resolution in user projection units per pixel. If no user projection\n * is set, or source or user projection are missing units, the original resolution\n * is returned.\n * @param {number} resolution Resolution in input projection units per pixel.\n * @param {ProjectionLike} sourceProjection The input projection.\n * @return {number} Resolution in user projection units per pixel.\n */\nexport function toUserResolution(resolution, sourceProjection) {\n    if (!userProjection) {\n        return resolution;\n    }\n    var sourceUnits = get(sourceProjection).getUnits();\n    var userUnits = userProjection.getUnits();\n    return sourceUnits && userUnits\n        ? (resolution * METERS_PER_UNIT[sourceUnits]) / METERS_PER_UNIT[userUnits]\n        : resolution;\n}\n/**\n * Return the resolution in user projection units per pixel. If no user projection\n * is set, or source or user projection are missing units, the original resolution\n * is returned.\n * @param {number} resolution Resolution in user projection units per pixel.\n * @param {ProjectionLike} destProjection The destination projection.\n * @return {number} Resolution in destination projection units per pixel.\n */\nexport function fromUserResolution(resolution, destProjection) {\n    if (!userProjection) {\n        return resolution;\n    }\n    var sourceUnits = get(destProjection).getUnits();\n    var userUnits = userProjection.getUnits();\n    return sourceUnits && userUnits\n        ? (resolution * METERS_PER_UNIT[userUnits]) / METERS_PER_UNIT[sourceUnits]\n        : resolution;\n}\n/**\n * Creates a safe coordinate transform function from a coordinate transform function.\n * \"Safe\" means that it can handle wrapping of x-coordinates for global projections,\n * and that coordinates exceeding the source projection validity extent's range will be\n * clamped to the validity range.\n * @param {Projection} sourceProj Source projection.\n * @param {Projection} destProj Destination projection.\n * @param {function(import(\"./coordinate.js\").Coordinate): import(\"./coordinate.js\").Coordinate} transform Transform function (source to destiation).\n * @return {function(import(\"./coordinate.js\").Coordinate): import(\"./coordinate.js\").Coordinate} Safe transform function (source to destiation).\n */\nexport function createSafeCoordinateTransform(sourceProj, destProj, transform) {\n    return function (coord) {\n        var sourceX = coord[0];\n        var sourceY = coord[1];\n        var transformed, worldsAway;\n        if (sourceProj.canWrapX()) {\n            var sourceExtent = sourceProj.getExtent();\n            var sourceExtentWidth = getWidth(sourceExtent);\n            worldsAway = getWorldsAway(coord, sourceProj, sourceExtentWidth);\n            if (worldsAway) {\n                // Move x to the real world\n                sourceX = sourceX - worldsAway * sourceExtentWidth;\n            }\n            sourceX = clamp(sourceX, sourceExtent[0], sourceExtent[2]);\n            sourceY = clamp(sourceY, sourceExtent[1], sourceExtent[3]);\n            transformed = transform([sourceX, sourceY]);\n        }\n        else {\n            transformed = transform(coord);\n        }\n        if (worldsAway && destProj.canWrapX()) {\n            // Move transformed coordinate back to the offset world\n            transformed[0] += worldsAway * getWidth(destProj.getExtent());\n        }\n        return transformed;\n    };\n}\n/**\n * Add transforms to and from EPSG:4326 and EPSG:3857.  This function is called\n * by when this module is executed and should only need to be called again after\n * `clearAllProjections()` is called (e.g. in tests).\n */\nexport function addCommon() {\n    // Add transformations that don't alter coordinates to convert within set of\n    // projections with equal meaning.\n    addEquivalentProjections(EPSG3857_PROJECTIONS);\n    addEquivalentProjections(EPSG4326_PROJECTIONS);\n    // Add transformations to convert EPSG:4326 like coordinates to EPSG:3857 like\n    // coordinates and back.\n    addEquivalentTransforms(EPSG4326_PROJECTIONS, EPSG3857_PROJECTIONS, fromEPSG4326, toEPSG4326);\n}\naddCommon();\n//# sourceMappingURL=proj.js.map","/**\n * @module ol/geom/flat/transform\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {import(\"../../transform.js\").Transform} transform Transform.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Transformed coordinates.\n */\nexport function transform2D(flatCoordinates, offset, end, stride, transform, opt_dest) {\n    var dest = opt_dest ? opt_dest : [];\n    var i = 0;\n    for (var j = offset; j < end; j += stride) {\n        var x = flatCoordinates[j];\n        var y = flatCoordinates[j + 1];\n        dest[i++] = transform[0] * x + transform[2] * y + transform[4];\n        dest[i++] = transform[1] * x + transform[3] * y + transform[5];\n    }\n    if (opt_dest && dest.length != i) {\n        dest.length = i;\n    }\n    return dest;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} angle Angle.\n * @param {Array<number>} anchor Rotation anchor point.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Transformed coordinates.\n */\nexport function rotate(flatCoordinates, offset, end, stride, angle, anchor, opt_dest) {\n    var dest = opt_dest ? opt_dest : [];\n    var cos = Math.cos(angle);\n    var sin = Math.sin(angle);\n    var anchorX = anchor[0];\n    var anchorY = anchor[1];\n    var i = 0;\n    for (var j = offset; j < end; j += stride) {\n        var deltaX = flatCoordinates[j] - anchorX;\n        var deltaY = flatCoordinates[j + 1] - anchorY;\n        dest[i++] = anchorX + deltaX * cos - deltaY * sin;\n        dest[i++] = anchorY + deltaX * sin + deltaY * cos;\n        for (var k = j + 2; k < j + stride; ++k) {\n            dest[i++] = flatCoordinates[k];\n        }\n    }\n    if (opt_dest && dest.length != i) {\n        dest.length = i;\n    }\n    return dest;\n}\n/**\n * Scale the coordinates.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} sx Scale factor in the x-direction.\n * @param {number} sy Scale factor in the y-direction.\n * @param {Array<number>} anchor Scale anchor point.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Transformed coordinates.\n */\nexport function scale(flatCoordinates, offset, end, stride, sx, sy, anchor, opt_dest) {\n    var dest = opt_dest ? opt_dest : [];\n    var anchorX = anchor[0];\n    var anchorY = anchor[1];\n    var i = 0;\n    for (var j = offset; j < end; j += stride) {\n        var deltaX = flatCoordinates[j] - anchorX;\n        var deltaY = flatCoordinates[j + 1] - anchorY;\n        dest[i++] = anchorX + sx * deltaX;\n        dest[i++] = anchorY + sy * deltaY;\n        for (var k = j + 2; k < j + stride; ++k) {\n            dest[i++] = flatCoordinates[k];\n        }\n    }\n    if (opt_dest && dest.length != i) {\n        dest.length = i;\n    }\n    return dest;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} deltaX Delta X.\n * @param {number} deltaY Delta Y.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Transformed coordinates.\n */\nexport function translate(flatCoordinates, offset, end, stride, deltaX, deltaY, opt_dest) {\n    var dest = opt_dest ? opt_dest : [];\n    var i = 0;\n    for (var j = offset; j < end; j += stride) {\n        dest[i++] = flatCoordinates[j] + deltaX;\n        dest[i++] = flatCoordinates[j + 1] + deltaY;\n        for (var k = j + 2; k < j + stride; ++k) {\n            dest[i++] = flatCoordinates[k];\n        }\n    }\n    if (opt_dest && dest.length != i) {\n        dest.length = i;\n    }\n    return dest;\n}\n//# sourceMappingURL=transform.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/Geometry\n */\nimport BaseObject from '../Object.js';\nimport Units from '../proj/Units.js';\nimport { abstract } from '../util.js';\nimport { compose as composeTransform, create as createTransform, } from '../transform.js';\nimport { createEmpty, createOrUpdateEmpty, getHeight, returnOrUpdate, } from '../extent.js';\nimport { get as getProjection, getTransform } from '../proj.js';\nimport { memoizeOne } from '../functions.js';\nimport { transform2D } from './flat/transform.js';\n/**\n * @type {import(\"../transform.js\").Transform}\n */\nvar tmpTransform = createTransform();\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for vector geometries.\n *\n * To get notified of changes to the geometry, register a listener for the\n * generic `change` event on your geometry instance.\n *\n * @abstract\n * @api\n */\nvar Geometry = /** @class */ (function (_super) {\n    __extends(Geometry, _super);\n    function Geometry() {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        _this.extent_ = createEmpty();\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.extentRevision_ = -1;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.simplifiedGeometryMaxMinSquaredTolerance = 0;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.simplifiedGeometryRevision = 0;\n        /**\n         * Get a transformed and simplified version of the geometry.\n         * @abstract\n         * @param {number} revision The geometry revision.\n         * @param {number} squaredTolerance Squared tolerance.\n         * @param {import(\"../proj.js\").TransformFunction} [opt_transform] Optional transform function.\n         * @return {Geometry} Simplified geometry.\n         */\n        _this.simplifyTransformedInternal = memoizeOne(function (revision, squaredTolerance, opt_transform) {\n            if (!opt_transform) {\n                return this.getSimplifiedGeometry(squaredTolerance);\n            }\n            var clone = this.clone();\n            clone.applyTransform(opt_transform);\n            return clone.getSimplifiedGeometry(squaredTolerance);\n        });\n        return _this;\n    }\n    /**\n     * Get a transformed and simplified version of the geometry.\n     * @abstract\n     * @param {number} squaredTolerance Squared tolerance.\n     * @param {import(\"../proj.js\").TransformFunction} [opt_transform] Optional transform function.\n     * @return {Geometry} Simplified geometry.\n     */\n    Geometry.prototype.simplifyTransformed = function (squaredTolerance, opt_transform) {\n        return this.simplifyTransformedInternal(this.getRevision(), squaredTolerance, opt_transform);\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @abstract\n     * @return {!Geometry} Clone.\n     */\n    Geometry.prototype.clone = function () {\n        return abstract();\n    };\n    /**\n     * @abstract\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    Geometry.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        return abstract();\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @return {boolean} Contains (x, y).\n     */\n    Geometry.prototype.containsXY = function (x, y) {\n        var coord = this.getClosestPoint([x, y]);\n        return coord[0] === x && coord[1] === y;\n    };\n    /**\n     * Return the closest point of the geometry to the passed point as\n     * {@link module:ol/coordinate~Coordinate coordinate}.\n     * @param {import(\"../coordinate.js\").Coordinate} point Point.\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_closestPoint] Closest point.\n     * @return {import(\"../coordinate.js\").Coordinate} Closest point.\n     * @api\n     */\n    Geometry.prototype.getClosestPoint = function (point, opt_closestPoint) {\n        var closestPoint = opt_closestPoint ? opt_closestPoint : [NaN, NaN];\n        this.closestPointXY(point[0], point[1], closestPoint, Infinity);\n        return closestPoint;\n    };\n    /**\n     * Returns true if this geometry includes the specified coordinate. If the\n     * coordinate is on the boundary of the geometry, returns false.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @return {boolean} Contains coordinate.\n     * @api\n     */\n    Geometry.prototype.intersectsCoordinate = function (coordinate) {\n        return this.containsXY(coordinate[0], coordinate[1]);\n    };\n    /**\n     * @abstract\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @protected\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     */\n    Geometry.prototype.computeExtent = function (extent) {\n        return abstract();\n    };\n    /**\n     * Get the extent of the geometry.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Extent.\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     * @api\n     */\n    Geometry.prototype.getExtent = function (opt_extent) {\n        if (this.extentRevision_ != this.getRevision()) {\n            var extent = this.computeExtent(this.extent_);\n            if (isNaN(extent[0]) || isNaN(extent[1])) {\n                createOrUpdateEmpty(extent);\n            }\n            this.extentRevision_ = this.getRevision();\n        }\n        return returnOrUpdate(this.extent_, opt_extent);\n    };\n    /**\n     * Rotate the geometry around a given coordinate. This modifies the geometry\n     * coordinates in place.\n     * @abstract\n     * @param {number} angle Rotation angle in radians.\n     * @param {import(\"../coordinate.js\").Coordinate} anchor The rotation center.\n     * @api\n     */\n    Geometry.prototype.rotate = function (angle, anchor) {\n        abstract();\n    };\n    /**\n     * Scale the geometry (with an optional origin).  This modifies the geometry\n     * coordinates in place.\n     * @abstract\n     * @param {number} sx The scaling factor in the x-direction.\n     * @param {number} [opt_sy] The scaling factor in the y-direction (defaults to sx).\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_anchor] The scale origin (defaults to the center\n     *     of the geometry extent).\n     * @api\n     */\n    Geometry.prototype.scale = function (sx, opt_sy, opt_anchor) {\n        abstract();\n    };\n    /**\n     * Create a simplified version of this geometry.  For linestrings, this uses\n     * the [Douglas Peucker](https://en.wikipedia.org/wiki/Ramer-Douglas-Peucker_algorithm)\n     * algorithm.  For polygons, a quantization-based\n     * simplification is used to preserve topology.\n     * @param {number} tolerance The tolerance distance for simplification.\n     * @return {Geometry} A new, simplified version of the original geometry.\n     * @api\n     */\n    Geometry.prototype.simplify = function (tolerance) {\n        return this.getSimplifiedGeometry(tolerance * tolerance);\n    };\n    /**\n     * Create a simplified version of this geometry using the Douglas Peucker\n     * algorithm.\n     * See https://en.wikipedia.org/wiki/Ramer-Douglas-Peucker_algorithm.\n     * @abstract\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {Geometry} Simplified geometry.\n     */\n    Geometry.prototype.getSimplifiedGeometry = function (squaredTolerance) {\n        return abstract();\n    };\n    /**\n     * Get the type of this geometry.\n     * @abstract\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     */\n    Geometry.prototype.getType = function () {\n        return abstract();\n    };\n    /**\n     * Apply a transform function to the coordinates of the geometry.\n     * The geometry is modified in place.\n     * If you do not want the geometry modified in place, first `clone()` it and\n     * then use this function on the clone.\n     * @abstract\n     * @param {import(\"../proj.js\").TransformFunction} transformFn Transform function.\n     * Called with a flat array of geometry coordinates.\n     */\n    Geometry.prototype.applyTransform = function (transformFn) {\n        abstract();\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @abstract\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     */\n    Geometry.prototype.intersectsExtent = function (extent) {\n        return abstract();\n    };\n    /**\n     * Translate the geometry.  This modifies the geometry coordinates in place.  If\n     * instead you want a new geometry, first `clone()` this geometry.\n     * @abstract\n     * @param {number} deltaX Delta X.\n     * @param {number} deltaY Delta Y.\n     * @api\n     */\n    Geometry.prototype.translate = function (deltaX, deltaY) {\n        abstract();\n    };\n    /**\n     * Transform each coordinate of the geometry from one coordinate reference\n     * system to another. The geometry is modified in place.\n     * For example, a line will be transformed to a line and a circle to a circle.\n     * If you do not want the geometry modified in place, first `clone()` it and\n     * then use this function on the clone.\n     *\n     * @param {import(\"../proj.js\").ProjectionLike} source The current projection.  Can be a\n     *     string identifier or a {@link module:ol/proj/Projection~Projection} object.\n     * @param {import(\"../proj.js\").ProjectionLike} destination The desired projection.  Can be a\n     *     string identifier or a {@link module:ol/proj/Projection~Projection} object.\n     * @return {Geometry} This geometry.  Note that original geometry is\n     *     modified in place.\n     * @api\n     */\n    Geometry.prototype.transform = function (source, destination) {\n        /** @type {import(\"../proj/Projection.js\").default} */\n        var sourceProj = getProjection(source);\n        var transformFn = sourceProj.getUnits() == Units.TILE_PIXELS\n            ? function (inCoordinates, outCoordinates, stride) {\n                var pixelExtent = sourceProj.getExtent();\n                var projectedExtent = sourceProj.getWorldExtent();\n                var scale = getHeight(projectedExtent) / getHeight(pixelExtent);\n                composeTransform(tmpTransform, projectedExtent[0], projectedExtent[3], scale, -scale, 0, 0, 0);\n                transform2D(inCoordinates, 0, inCoordinates.length, stride, tmpTransform, outCoordinates);\n                return getTransform(sourceProj, destination)(inCoordinates, outCoordinates, stride);\n            }\n            : getTransform(sourceProj, destination);\n        this.applyTransform(transformFn);\n        return this;\n    };\n    return Geometry;\n}(BaseObject));\nexport default Geometry;\n//# sourceMappingURL=Geometry.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/SimpleGeometry\n */\nimport Geometry from './Geometry.js';\nimport GeometryLayout from './GeometryLayout.js';\nimport { abstract } from '../util.js';\nimport { createOrUpdateFromFlatCoordinates, getCenter } from '../extent.js';\nimport { rotate, scale, transform2D, translate } from './flat/transform.js';\n/**\n * @classdesc\n * Abstract base class; only used for creating subclasses; do not instantiate\n * in apps, as cannot be rendered.\n *\n * @abstract\n * @api\n */\nvar SimpleGeometry = /** @class */ (function (_super) {\n    __extends(SimpleGeometry, _super);\n    function SimpleGeometry() {\n        var _this = _super.call(this) || this;\n        /**\n         * @protected\n         * @type {import(\"./GeometryLayout.js\").default}\n         */\n        _this.layout = GeometryLayout.XY;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.stride = 2;\n        /**\n         * @protected\n         * @type {Array<number>}\n         */\n        _this.flatCoordinates = null;\n        return _this;\n    }\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @protected\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     */\n    SimpleGeometry.prototype.computeExtent = function (extent) {\n        return createOrUpdateFromFlatCoordinates(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, extent);\n    };\n    /**\n     * @abstract\n     * @return {Array<*>} Coordinates.\n     */\n    SimpleGeometry.prototype.getCoordinates = function () {\n        return abstract();\n    };\n    /**\n     * Return the first coordinate of the geometry.\n     * @return {import(\"../coordinate.js\").Coordinate} First coordinate.\n     * @api\n     */\n    SimpleGeometry.prototype.getFirstCoordinate = function () {\n        return this.flatCoordinates.slice(0, this.stride);\n    };\n    /**\n     * @return {Array<number>} Flat coordinates.\n     */\n    SimpleGeometry.prototype.getFlatCoordinates = function () {\n        return this.flatCoordinates;\n    };\n    /**\n     * Return the last coordinate of the geometry.\n     * @return {import(\"../coordinate.js\").Coordinate} Last point.\n     * @api\n     */\n    SimpleGeometry.prototype.getLastCoordinate = function () {\n        return this.flatCoordinates.slice(this.flatCoordinates.length - this.stride);\n    };\n    /**\n     * Return the {@link module:ol/geom/GeometryLayout layout} of the geometry.\n     * @return {import(\"./GeometryLayout.js\").default} Layout.\n     * @api\n     */\n    SimpleGeometry.prototype.getLayout = function () {\n        return this.layout;\n    };\n    /**\n     * Create a simplified version of this geometry using the Douglas Peucker algorithm.\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {SimpleGeometry} Simplified geometry.\n     */\n    SimpleGeometry.prototype.getSimplifiedGeometry = function (squaredTolerance) {\n        if (this.simplifiedGeometryRevision !== this.getRevision()) {\n            this.simplifiedGeometryMaxMinSquaredTolerance = 0;\n            this.simplifiedGeometryRevision = this.getRevision();\n        }\n        // If squaredTolerance is negative or if we know that simplification will not\n        // have any effect then just return this.\n        if (squaredTolerance < 0 ||\n            (this.simplifiedGeometryMaxMinSquaredTolerance !== 0 &&\n                squaredTolerance <= this.simplifiedGeometryMaxMinSquaredTolerance)) {\n            return this;\n        }\n        var simplifiedGeometry = this.getSimplifiedGeometryInternal(squaredTolerance);\n        var simplifiedFlatCoordinates = simplifiedGeometry.getFlatCoordinates();\n        if (simplifiedFlatCoordinates.length < this.flatCoordinates.length) {\n            return simplifiedGeometry;\n        }\n        else {\n            // Simplification did not actually remove any coordinates.  We now know\n            // that any calls to getSimplifiedGeometry with a squaredTolerance less\n            // than or equal to the current squaredTolerance will also not have any\n            // effect.  This allows us to short circuit simplification (saving CPU\n            // cycles) and prevents the cache of simplified geometries from filling\n            // up with useless identical copies of this geometry (saving memory).\n            this.simplifiedGeometryMaxMinSquaredTolerance = squaredTolerance;\n            return this;\n        }\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {SimpleGeometry} Simplified geometry.\n     * @protected\n     */\n    SimpleGeometry.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        return this;\n    };\n    /**\n     * @return {number} Stride.\n     */\n    SimpleGeometry.prototype.getStride = function () {\n        return this.stride;\n    };\n    /**\n     * @param {import(\"./GeometryLayout.js\").default} layout Layout.\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     */\n    SimpleGeometry.prototype.setFlatCoordinates = function (layout, flatCoordinates) {\n        this.stride = getStrideForLayout(layout);\n        this.layout = layout;\n        this.flatCoordinates = flatCoordinates;\n    };\n    /**\n     * @abstract\n     * @param {!Array<*>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    SimpleGeometry.prototype.setCoordinates = function (coordinates, opt_layout) {\n        abstract();\n    };\n    /**\n     * @param {import(\"./GeometryLayout.js\").default|undefined} layout Layout.\n     * @param {Array<*>} coordinates Coordinates.\n     * @param {number} nesting Nesting.\n     * @protected\n     */\n    SimpleGeometry.prototype.setLayout = function (layout, coordinates, nesting) {\n        /** @type {number} */\n        var stride;\n        if (layout) {\n            stride = getStrideForLayout(layout);\n        }\n        else {\n            for (var i = 0; i < nesting; ++i) {\n                if (coordinates.length === 0) {\n                    this.layout = GeometryLayout.XY;\n                    this.stride = 2;\n                    return;\n                }\n                else {\n                    coordinates = /** @type {Array} */ (coordinates[0]);\n                }\n            }\n            stride = coordinates.length;\n            layout = getLayoutForStride(stride);\n        }\n        this.layout = layout;\n        this.stride = stride;\n    };\n    /**\n     * Apply a transform function to the coordinates of the geometry.\n     * The geometry is modified in place.\n     * If you do not want the geometry modified in place, first `clone()` it and\n     * then use this function on the clone.\n     * @param {import(\"../proj.js\").TransformFunction} transformFn Transform function.\n     * Called with a flat array of geometry coordinates.\n     * @api\n     */\n    SimpleGeometry.prototype.applyTransform = function (transformFn) {\n        if (this.flatCoordinates) {\n            transformFn(this.flatCoordinates, this.flatCoordinates, this.stride);\n            this.changed();\n        }\n    };\n    /**\n     * Rotate the geometry around a given coordinate. This modifies the geometry\n     * coordinates in place.\n     * @param {number} angle Rotation angle in counter-clockwise radians.\n     * @param {import(\"../coordinate.js\").Coordinate} anchor The rotation center.\n     * @api\n     */\n    SimpleGeometry.prototype.rotate = function (angle, anchor) {\n        var flatCoordinates = this.getFlatCoordinates();\n        if (flatCoordinates) {\n            var stride = this.getStride();\n            rotate(flatCoordinates, 0, flatCoordinates.length, stride, angle, anchor, flatCoordinates);\n            this.changed();\n        }\n    };\n    /**\n     * Scale the geometry (with an optional origin).  This modifies the geometry\n     * coordinates in place.\n     * @param {number} sx The scaling factor in the x-direction.\n     * @param {number} [opt_sy] The scaling factor in the y-direction (defaults to sx).\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_anchor] The scale origin (defaults to the center\n     *     of the geometry extent).\n     * @api\n     */\n    SimpleGeometry.prototype.scale = function (sx, opt_sy, opt_anchor) {\n        var sy = opt_sy;\n        if (sy === undefined) {\n            sy = sx;\n        }\n        var anchor = opt_anchor;\n        if (!anchor) {\n            anchor = getCenter(this.getExtent());\n        }\n        var flatCoordinates = this.getFlatCoordinates();\n        if (flatCoordinates) {\n            var stride = this.getStride();\n            scale(flatCoordinates, 0, flatCoordinates.length, stride, sx, sy, anchor, flatCoordinates);\n            this.changed();\n        }\n    };\n    /**\n     * Translate the geometry.  This modifies the geometry coordinates in place.  If\n     * instead you want a new geometry, first `clone()` this geometry.\n     * @param {number} deltaX Delta X.\n     * @param {number} deltaY Delta Y.\n     * @api\n     */\n    SimpleGeometry.prototype.translate = function (deltaX, deltaY) {\n        var flatCoordinates = this.getFlatCoordinates();\n        if (flatCoordinates) {\n            var stride = this.getStride();\n            translate(flatCoordinates, 0, flatCoordinates.length, stride, deltaX, deltaY, flatCoordinates);\n            this.changed();\n        }\n    };\n    return SimpleGeometry;\n}(Geometry));\n/**\n * @param {number} stride Stride.\n * @return {import(\"./GeometryLayout.js\").default} layout Layout.\n */\nfunction getLayoutForStride(stride) {\n    var layout;\n    if (stride == 2) {\n        layout = GeometryLayout.XY;\n    }\n    else if (stride == 3) {\n        layout = GeometryLayout.XYZ;\n    }\n    else if (stride == 4) {\n        layout = GeometryLayout.XYZM;\n    }\n    return /** @type {import(\"./GeometryLayout.js\").default} */ (layout);\n}\n/**\n * @param {import(\"./GeometryLayout.js\").default} layout Layout.\n * @return {number} Stride.\n */\nexport function getStrideForLayout(layout) {\n    var stride;\n    if (layout == GeometryLayout.XY) {\n        stride = 2;\n    }\n    else if (layout == GeometryLayout.XYZ || layout == GeometryLayout.XYM) {\n        stride = 3;\n    }\n    else if (layout == GeometryLayout.XYZM) {\n        stride = 4;\n    }\n    return /** @type {number} */ (stride);\n}\n/**\n * @param {SimpleGeometry} simpleGeometry Simple geometry.\n * @param {import(\"../transform.js\").Transform} transform Transform.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Transformed flat coordinates.\n */\nexport function transformGeom2D(simpleGeometry, transform, opt_dest) {\n    var flatCoordinates = simpleGeometry.getFlatCoordinates();\n    if (!flatCoordinates) {\n        return null;\n    }\n    else {\n        var stride = simpleGeometry.getStride();\n        return transform2D(flatCoordinates, 0, flatCoordinates.length, stride, transform, opt_dest);\n    }\n}\nexport default SimpleGeometry;\n//# sourceMappingURL=SimpleGeometry.js.map","/**\n * @module ol/geom/flat/closest\n */\nimport { lerp, squaredDistance as squaredDx } from '../../math.js';\n/**\n * Returns the point on the 2D line segment flatCoordinates[offset1] to\n * flatCoordinates[offset2] that is closest to the point (x, y).  Extra\n * dimensions are linearly interpolated.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset1 Offset 1.\n * @param {number} offset2 Offset 2.\n * @param {number} stride Stride.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {Array<number>} closestPoint Closest point.\n */\nfunction assignClosest(flatCoordinates, offset1, offset2, stride, x, y, closestPoint) {\n    var x1 = flatCoordinates[offset1];\n    var y1 = flatCoordinates[offset1 + 1];\n    var dx = flatCoordinates[offset2] - x1;\n    var dy = flatCoordinates[offset2 + 1] - y1;\n    var offset;\n    if (dx === 0 && dy === 0) {\n        offset = offset1;\n    }\n    else {\n        var t = ((x - x1) * dx + (y - y1) * dy) / (dx * dx + dy * dy);\n        if (t > 1) {\n            offset = offset2;\n        }\n        else if (t > 0) {\n            for (var i = 0; i < stride; ++i) {\n                closestPoint[i] = lerp(flatCoordinates[offset1 + i], flatCoordinates[offset2 + i], t);\n            }\n            closestPoint.length = stride;\n            return;\n        }\n        else {\n            offset = offset1;\n        }\n    }\n    for (var i = 0; i < stride; ++i) {\n        closestPoint[i] = flatCoordinates[offset + i];\n    }\n    closestPoint.length = stride;\n}\n/**\n * Return the squared of the largest distance between any pair of consecutive\n * coordinates.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} max Max squared delta.\n * @return {number} Max squared delta.\n */\nexport function maxSquaredDelta(flatCoordinates, offset, end, stride, max) {\n    var x1 = flatCoordinates[offset];\n    var y1 = flatCoordinates[offset + 1];\n    for (offset += stride; offset < end; offset += stride) {\n        var x2 = flatCoordinates[offset];\n        var y2 = flatCoordinates[offset + 1];\n        var squaredDelta = squaredDx(x1, y1, x2, y2);\n        if (squaredDelta > max) {\n            max = squaredDelta;\n        }\n        x1 = x2;\n        y1 = y2;\n    }\n    return max;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} max Max squared delta.\n * @return {number} Max squared delta.\n */\nexport function arrayMaxSquaredDelta(flatCoordinates, offset, ends, stride, max) {\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        max = maxSquaredDelta(flatCoordinates, offset, end, stride, max);\n        offset = end;\n    }\n    return max;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {number} max Max squared delta.\n * @return {number} Max squared delta.\n */\nexport function multiArrayMaxSquaredDelta(flatCoordinates, offset, endss, stride, max) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        max = arrayMaxSquaredDelta(flatCoordinates, offset, ends, stride, max);\n        offset = ends[ends.length - 1];\n    }\n    return max;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} maxDelta Max delta.\n * @param {boolean} isRing Is ring.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {Array<number>} closestPoint Closest point.\n * @param {number} minSquaredDistance Minimum squared distance.\n * @param {Array<number>} [opt_tmpPoint] Temporary point object.\n * @return {number} Minimum squared distance.\n */\nexport function assignClosestPoint(flatCoordinates, offset, end, stride, maxDelta, isRing, x, y, closestPoint, minSquaredDistance, opt_tmpPoint) {\n    if (offset == end) {\n        return minSquaredDistance;\n    }\n    var i, squaredDistance;\n    if (maxDelta === 0) {\n        // All points are identical, so just test the first point.\n        squaredDistance = squaredDx(x, y, flatCoordinates[offset], flatCoordinates[offset + 1]);\n        if (squaredDistance < minSquaredDistance) {\n            for (i = 0; i < stride; ++i) {\n                closestPoint[i] = flatCoordinates[offset + i];\n            }\n            closestPoint.length = stride;\n            return squaredDistance;\n        }\n        else {\n            return minSquaredDistance;\n        }\n    }\n    var tmpPoint = opt_tmpPoint ? opt_tmpPoint : [NaN, NaN];\n    var index = offset + stride;\n    while (index < end) {\n        assignClosest(flatCoordinates, index - stride, index, stride, x, y, tmpPoint);\n        squaredDistance = squaredDx(x, y, tmpPoint[0], tmpPoint[1]);\n        if (squaredDistance < minSquaredDistance) {\n            minSquaredDistance = squaredDistance;\n            for (i = 0; i < stride; ++i) {\n                closestPoint[i] = tmpPoint[i];\n            }\n            closestPoint.length = stride;\n            index += stride;\n        }\n        else {\n            // Skip ahead multiple points, because we know that all the skipped\n            // points cannot be any closer than the closest point we have found so\n            // far.  We know this because we know how close the current point is, how\n            // close the closest point we have found so far is, and the maximum\n            // distance between consecutive points.  For example, if we're currently\n            // at distance 10, the best we've found so far is 3, and that the maximum\n            // distance between consecutive points is 2, then we'll need to skip at\n            // least (10 - 3) / 2 == 3 (rounded down) points to have any chance of\n            // finding a closer point.  We use Math.max(..., 1) to ensure that we\n            // always advance at least one point, to avoid an infinite loop.\n            index +=\n                stride *\n                    Math.max(((Math.sqrt(squaredDistance) - Math.sqrt(minSquaredDistance)) /\n                        maxDelta) |\n                        0, 1);\n        }\n    }\n    if (isRing) {\n        // Check the closing segment.\n        assignClosest(flatCoordinates, end - stride, offset, stride, x, y, tmpPoint);\n        squaredDistance = squaredDx(x, y, tmpPoint[0], tmpPoint[1]);\n        if (squaredDistance < minSquaredDistance) {\n            minSquaredDistance = squaredDistance;\n            for (i = 0; i < stride; ++i) {\n                closestPoint[i] = tmpPoint[i];\n            }\n            closestPoint.length = stride;\n        }\n    }\n    return minSquaredDistance;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} maxDelta Max delta.\n * @param {boolean} isRing Is ring.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {Array<number>} closestPoint Closest point.\n * @param {number} minSquaredDistance Minimum squared distance.\n * @param {Array<number>} [opt_tmpPoint] Temporary point object.\n * @return {number} Minimum squared distance.\n */\nexport function assignClosestArrayPoint(flatCoordinates, offset, ends, stride, maxDelta, isRing, x, y, closestPoint, minSquaredDistance, opt_tmpPoint) {\n    var tmpPoint = opt_tmpPoint ? opt_tmpPoint : [NaN, NaN];\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        minSquaredDistance = assignClosestPoint(flatCoordinates, offset, end, stride, maxDelta, isRing, x, y, closestPoint, minSquaredDistance, tmpPoint);\n        offset = end;\n    }\n    return minSquaredDistance;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {number} maxDelta Max delta.\n * @param {boolean} isRing Is ring.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {Array<number>} closestPoint Closest point.\n * @param {number} minSquaredDistance Minimum squared distance.\n * @param {Array<number>} [opt_tmpPoint] Temporary point object.\n * @return {number} Minimum squared distance.\n */\nexport function assignClosestMultiArrayPoint(flatCoordinates, offset, endss, stride, maxDelta, isRing, x, y, closestPoint, minSquaredDistance, opt_tmpPoint) {\n    var tmpPoint = opt_tmpPoint ? opt_tmpPoint : [NaN, NaN];\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        minSquaredDistance = assignClosestArrayPoint(flatCoordinates, offset, ends, stride, maxDelta, isRing, x, y, closestPoint, minSquaredDistance, tmpPoint);\n        offset = ends[ends.length - 1];\n    }\n    return minSquaredDistance;\n}\n//# sourceMappingURL=closest.js.map","/**\n * @module ol/geom/flat/deflate\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n * @param {number} stride Stride.\n * @return {number} offset Offset.\n */\nexport function deflateCoordinate(flatCoordinates, offset, coordinate, stride) {\n    for (var i = 0, ii = coordinate.length; i < ii; ++i) {\n        flatCoordinates[offset++] = coordinate[i];\n    }\n    return offset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<import(\"../../coordinate.js\").Coordinate>} coordinates Coordinates.\n * @param {number} stride Stride.\n * @return {number} offset Offset.\n */\nexport function deflateCoordinates(flatCoordinates, offset, coordinates, stride) {\n    for (var i = 0, ii = coordinates.length; i < ii; ++i) {\n        var coordinate = coordinates[i];\n        for (var j = 0; j < stride; ++j) {\n            flatCoordinates[offset++] = coordinate[j];\n        }\n    }\n    return offset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<import(\"../../coordinate.js\").Coordinate>>} coordinatess Coordinatess.\n * @param {number} stride Stride.\n * @param {Array<number>} [opt_ends] Ends.\n * @return {Array<number>} Ends.\n */\nexport function deflateCoordinatesArray(flatCoordinates, offset, coordinatess, stride, opt_ends) {\n    var ends = opt_ends ? opt_ends : [];\n    var i = 0;\n    for (var j = 0, jj = coordinatess.length; j < jj; ++j) {\n        var end = deflateCoordinates(flatCoordinates, offset, coordinatess[j], stride);\n        ends[i++] = end;\n        offset = end;\n    }\n    ends.length = i;\n    return ends;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<Array<import(\"../../coordinate.js\").Coordinate>>>} coordinatesss Coordinatesss.\n * @param {number} stride Stride.\n * @param {Array<Array<number>>} [opt_endss] Endss.\n * @return {Array<Array<number>>} Endss.\n */\nexport function deflateMultiCoordinatesArray(flatCoordinates, offset, coordinatesss, stride, opt_endss) {\n    var endss = opt_endss ? opt_endss : [];\n    var i = 0;\n    for (var j = 0, jj = coordinatesss.length; j < jj; ++j) {\n        var ends = deflateCoordinatesArray(flatCoordinates, offset, coordinatesss[j], stride, endss[i]);\n        endss[i++] = ends;\n        offset = ends[ends.length - 1];\n    }\n    endss.length = i;\n    return endss;\n}\n//# sourceMappingURL=deflate.js.map","/**\n * @module ol/geom/flat/simplify\n */\n// Based on simplify-js https://github.com/mourner/simplify-js\n// Copyright (c) 2012, Vladimir Agafonkin\n// All rights reserved.\n//\n// Redistribution and use in source and binary forms, with or without\n// modification, are permitted provided that the following conditions are met:\n//\n//    1. Redistributions of source code must retain the above copyright notice,\n//       this list of conditions and the following disclaimer.\n//\n//    2. Redistributions in binary form must reproduce the above copyright\n//       notice, this list of conditions and the following disclaimer in the\n//       documentation and/or other materials provided with the distribution.\n//\n// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE\n// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE\n// POSSIBILITY OF SUCH DAMAGE.\nimport { squaredDistance, squaredSegmentDistance } from '../../math.js';\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {boolean} highQuality Highest quality.\n * @param {Array<number>} [opt_simplifiedFlatCoordinates] Simplified flat\n *     coordinates.\n * @return {Array<number>} Simplified line string.\n */\nexport function simplifyLineString(flatCoordinates, offset, end, stride, squaredTolerance, highQuality, opt_simplifiedFlatCoordinates) {\n    var simplifiedFlatCoordinates = opt_simplifiedFlatCoordinates !== undefined\n        ? opt_simplifiedFlatCoordinates\n        : [];\n    if (!highQuality) {\n        end = radialDistance(flatCoordinates, offset, end, stride, squaredTolerance, simplifiedFlatCoordinates, 0);\n        flatCoordinates = simplifiedFlatCoordinates;\n        offset = 0;\n        stride = 2;\n    }\n    simplifiedFlatCoordinates.length = douglasPeucker(flatCoordinates, offset, end, stride, squaredTolerance, simplifiedFlatCoordinates, 0);\n    return simplifiedFlatCoordinates;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @return {number} Simplified offset.\n */\nexport function douglasPeucker(flatCoordinates, offset, end, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset) {\n    var n = (end - offset) / stride;\n    if (n < 3) {\n        for (; offset < end; offset += stride) {\n            simplifiedFlatCoordinates[simplifiedOffset++] = flatCoordinates[offset];\n            simplifiedFlatCoordinates[simplifiedOffset++] =\n                flatCoordinates[offset + 1];\n        }\n        return simplifiedOffset;\n    }\n    /** @type {Array<number>} */\n    var markers = new Array(n);\n    markers[0] = 1;\n    markers[n - 1] = 1;\n    /** @type {Array<number>} */\n    var stack = [offset, end - stride];\n    var index = 0;\n    while (stack.length > 0) {\n        var last = stack.pop();\n        var first = stack.pop();\n        var maxSquaredDistance = 0;\n        var x1 = flatCoordinates[first];\n        var y1 = flatCoordinates[first + 1];\n        var x2 = flatCoordinates[last];\n        var y2 = flatCoordinates[last + 1];\n        for (var i = first + stride; i < last; i += stride) {\n            var x = flatCoordinates[i];\n            var y = flatCoordinates[i + 1];\n            var squaredDistance_1 = squaredSegmentDistance(x, y, x1, y1, x2, y2);\n            if (squaredDistance_1 > maxSquaredDistance) {\n                index = i;\n                maxSquaredDistance = squaredDistance_1;\n            }\n        }\n        if (maxSquaredDistance > squaredTolerance) {\n            markers[(index - offset) / stride] = 1;\n            if (first + stride < index) {\n                stack.push(first, index);\n            }\n            if (index + stride < last) {\n                stack.push(index, last);\n            }\n        }\n    }\n    for (var i = 0; i < n; ++i) {\n        if (markers[i]) {\n            simplifiedFlatCoordinates[simplifiedOffset++] =\n                flatCoordinates[offset + i * stride];\n            simplifiedFlatCoordinates[simplifiedOffset++] =\n                flatCoordinates[offset + i * stride + 1];\n        }\n    }\n    return simplifiedOffset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @param {Array<number>} simplifiedEnds Simplified ends.\n * @return {number} Simplified offset.\n */\nexport function douglasPeuckerArray(flatCoordinates, offset, ends, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEnds) {\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        simplifiedOffset = douglasPeucker(flatCoordinates, offset, end, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset);\n        simplifiedEnds.push(simplifiedOffset);\n        offset = end;\n    }\n    return simplifiedOffset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @param {Array<Array<number>>} simplifiedEndss Simplified endss.\n * @return {number} Simplified offset.\n */\nexport function douglasPeuckerMultiArray(flatCoordinates, offset, endss, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEndss) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        var simplifiedEnds = [];\n        simplifiedOffset = douglasPeuckerArray(flatCoordinates, offset, ends, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEnds);\n        simplifiedEndss.push(simplifiedEnds);\n        offset = ends[ends.length - 1];\n    }\n    return simplifiedOffset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @return {number} Simplified offset.\n */\nexport function radialDistance(flatCoordinates, offset, end, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset) {\n    if (end <= offset + stride) {\n        // zero or one point, no simplification possible, so copy and return\n        for (; offset < end; offset += stride) {\n            simplifiedFlatCoordinates[simplifiedOffset++] = flatCoordinates[offset];\n            simplifiedFlatCoordinates[simplifiedOffset++] =\n                flatCoordinates[offset + 1];\n        }\n        return simplifiedOffset;\n    }\n    var x1 = flatCoordinates[offset];\n    var y1 = flatCoordinates[offset + 1];\n    // copy first point\n    simplifiedFlatCoordinates[simplifiedOffset++] = x1;\n    simplifiedFlatCoordinates[simplifiedOffset++] = y1;\n    var x2 = x1;\n    var y2 = y1;\n    for (offset += stride; offset < end; offset += stride) {\n        x2 = flatCoordinates[offset];\n        y2 = flatCoordinates[offset + 1];\n        if (squaredDistance(x1, y1, x2, y2) > squaredTolerance) {\n            // copy point at offset\n            simplifiedFlatCoordinates[simplifiedOffset++] = x2;\n            simplifiedFlatCoordinates[simplifiedOffset++] = y2;\n            x1 = x2;\n            y1 = y2;\n        }\n    }\n    if (x2 != x1 || y2 != y1) {\n        // copy last point\n        simplifiedFlatCoordinates[simplifiedOffset++] = x2;\n        simplifiedFlatCoordinates[simplifiedOffset++] = y2;\n    }\n    return simplifiedOffset;\n}\n/**\n * @param {number} value Value.\n * @param {number} tolerance Tolerance.\n * @return {number} Rounded value.\n */\nexport function snap(value, tolerance) {\n    return tolerance * Math.round(value / tolerance);\n}\n/**\n * Simplifies a line string using an algorithm designed by Tim Schaub.\n * Coordinates are snapped to the nearest value in a virtual grid and\n * consecutive duplicate coordinates are discarded.  This effectively preserves\n * topology as the simplification of any subsection of a line string is\n * independent of the rest of the line string.  This means that, for examples,\n * the common edge between two polygons will be simplified to the same line\n * string independently in both polygons.  This implementation uses a single\n * pass over the coordinates and eliminates intermediate collinear points.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} tolerance Tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @return {number} Simplified offset.\n */\nexport function quantize(flatCoordinates, offset, end, stride, tolerance, simplifiedFlatCoordinates, simplifiedOffset) {\n    // do nothing if the line is empty\n    if (offset == end) {\n        return simplifiedOffset;\n    }\n    // snap the first coordinate (P1)\n    var x1 = snap(flatCoordinates[offset], tolerance);\n    var y1 = snap(flatCoordinates[offset + 1], tolerance);\n    offset += stride;\n    // add the first coordinate to the output\n    simplifiedFlatCoordinates[simplifiedOffset++] = x1;\n    simplifiedFlatCoordinates[simplifiedOffset++] = y1;\n    // find the next coordinate that does not snap to the same value as the first\n    // coordinate (P2)\n    var x2, y2;\n    do {\n        x2 = snap(flatCoordinates[offset], tolerance);\n        y2 = snap(flatCoordinates[offset + 1], tolerance);\n        offset += stride;\n        if (offset == end) {\n            // all coordinates snap to the same value, the line collapses to a point\n            // push the last snapped value anyway to ensure that the output contains\n            // at least two points\n            // FIXME should we really return at least two points anyway?\n            simplifiedFlatCoordinates[simplifiedOffset++] = x2;\n            simplifiedFlatCoordinates[simplifiedOffset++] = y2;\n            return simplifiedOffset;\n        }\n    } while (x2 == x1 && y2 == y1);\n    while (offset < end) {\n        // snap the next coordinate (P3)\n        var x3 = snap(flatCoordinates[offset], tolerance);\n        var y3 = snap(flatCoordinates[offset + 1], tolerance);\n        offset += stride;\n        // skip P3 if it is equal to P2\n        if (x3 == x2 && y3 == y2) {\n            continue;\n        }\n        // calculate the delta between P1 and P2\n        var dx1 = x2 - x1;\n        var dy1 = y2 - y1;\n        // calculate the delta between P3 and P1\n        var dx2 = x3 - x1;\n        var dy2 = y3 - y1;\n        // if P1, P2, and P3 are colinear and P3 is further from P1 than P2 is from\n        // P1 in the same direction then P2 is on the straight line between P1 and\n        // P3\n        if (dx1 * dy2 == dy1 * dx2 &&\n            ((dx1 < 0 && dx2 < dx1) || dx1 == dx2 || (dx1 > 0 && dx2 > dx1)) &&\n            ((dy1 < 0 && dy2 < dy1) || dy1 == dy2 || (dy1 > 0 && dy2 > dy1))) {\n            // discard P2 and set P2 = P3\n            x2 = x3;\n            y2 = y3;\n            continue;\n        }\n        // either P1, P2, and P3 are not colinear, or they are colinear but P3 is\n        // between P3 and P1 or on the opposite half of the line to P2.  add P2,\n        // and continue with P1 = P2 and P2 = P3\n        simplifiedFlatCoordinates[simplifiedOffset++] = x2;\n        simplifiedFlatCoordinates[simplifiedOffset++] = y2;\n        x1 = x2;\n        y1 = y2;\n        x2 = x3;\n        y2 = y3;\n    }\n    // add the last point (P2)\n    simplifiedFlatCoordinates[simplifiedOffset++] = x2;\n    simplifiedFlatCoordinates[simplifiedOffset++] = y2;\n    return simplifiedOffset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} tolerance Tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @param {Array<number>} simplifiedEnds Simplified ends.\n * @return {number} Simplified offset.\n */\nexport function quantizeArray(flatCoordinates, offset, ends, stride, tolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEnds) {\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        simplifiedOffset = quantize(flatCoordinates, offset, end, stride, tolerance, simplifiedFlatCoordinates, simplifiedOffset);\n        simplifiedEnds.push(simplifiedOffset);\n        offset = end;\n    }\n    return simplifiedOffset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {number} tolerance Tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @param {Array<Array<number>>} simplifiedEndss Simplified endss.\n * @return {number} Simplified offset.\n */\nexport function quantizeMultiArray(flatCoordinates, offset, endss, stride, tolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEndss) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        var simplifiedEnds = [];\n        simplifiedOffset = quantizeArray(flatCoordinates, offset, ends, stride, tolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEnds);\n        simplifiedEndss.push(simplifiedEnds);\n        offset = ends[ends.length - 1];\n    }\n    return simplifiedOffset;\n}\n//# sourceMappingURL=simplify.js.map","/**\n * @module ol/geom/flat/inflate\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {Array<import(\"../../coordinate.js\").Coordinate>} [opt_coordinates] Coordinates.\n * @return {Array<import(\"../../coordinate.js\").Coordinate>} Coordinates.\n */\nexport function inflateCoordinates(flatCoordinates, offset, end, stride, opt_coordinates) {\n    var coordinates = opt_coordinates !== undefined ? opt_coordinates : [];\n    var i = 0;\n    for (var j = offset; j < end; j += stride) {\n        coordinates[i++] = flatCoordinates.slice(j, j + stride);\n    }\n    coordinates.length = i;\n    return coordinates;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {Array<Array<import(\"../../coordinate.js\").Coordinate>>} [opt_coordinatess] Coordinatess.\n * @return {Array<Array<import(\"../../coordinate.js\").Coordinate>>} Coordinatess.\n */\nexport function inflateCoordinatesArray(flatCoordinates, offset, ends, stride, opt_coordinatess) {\n    var coordinatess = opt_coordinatess !== undefined ? opt_coordinatess : [];\n    var i = 0;\n    for (var j = 0, jj = ends.length; j < jj; ++j) {\n        var end = ends[j];\n        coordinatess[i++] = inflateCoordinates(flatCoordinates, offset, end, stride, coordinatess[i]);\n        offset = end;\n    }\n    coordinatess.length = i;\n    return coordinatess;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {Array<Array<Array<import(\"../../coordinate.js\").Coordinate>>>} [opt_coordinatesss]\n *     Coordinatesss.\n * @return {Array<Array<Array<import(\"../../coordinate.js\").Coordinate>>>} Coordinatesss.\n */\nexport function inflateMultiCoordinatesArray(flatCoordinates, offset, endss, stride, opt_coordinatesss) {\n    var coordinatesss = opt_coordinatesss !== undefined ? opt_coordinatesss : [];\n    var i = 0;\n    for (var j = 0, jj = endss.length; j < jj; ++j) {\n        var ends = endss[j];\n        coordinatesss[i++] = inflateCoordinatesArray(flatCoordinates, offset, ends, stride, coordinatesss[i]);\n        offset = ends[ends.length - 1];\n    }\n    coordinatesss.length = i;\n    return coordinatesss;\n}\n//# sourceMappingURL=inflate.js.map","/**\n * @module ol/geom/flat/area\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {number} Area.\n */\nexport function linearRing(flatCoordinates, offset, end, stride) {\n    var twiceArea = 0;\n    var x1 = flatCoordinates[end - stride];\n    var y1 = flatCoordinates[end - stride + 1];\n    for (; offset < end; offset += stride) {\n        var x2 = flatCoordinates[offset];\n        var y2 = flatCoordinates[offset + 1];\n        twiceArea += y1 * x2 - x1 * y2;\n        x1 = x2;\n        y1 = y2;\n    }\n    return twiceArea / 2;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @return {number} Area.\n */\nexport function linearRings(flatCoordinates, offset, ends, stride) {\n    var area = 0;\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        area += linearRing(flatCoordinates, offset, end, stride);\n        offset = end;\n    }\n    return area;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @return {number} Area.\n */\nexport function linearRingss(flatCoordinates, offset, endss, stride) {\n    var area = 0;\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        area += linearRings(flatCoordinates, offset, ends, stride);\n        offset = ends[ends.length - 1];\n    }\n    return area;\n}\n//# sourceMappingURL=area.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/LinearRing\n */\nimport GeometryLayout from './GeometryLayout.js';\nimport GeometryType from './GeometryType.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { assignClosestPoint, maxSquaredDelta } from './flat/closest.js';\nimport { closestSquaredDistanceXY } from '../extent.js';\nimport { deflateCoordinates } from './flat/deflate.js';\nimport { douglasPeucker } from './flat/simplify.js';\nimport { inflateCoordinates } from './flat/inflate.js';\nimport { linearRing as linearRingArea } from './flat/area.js';\n/**\n * @classdesc\n * Linear ring geometry. Only used as part of polygon; cannot be rendered\n * on its own.\n *\n * @api\n */\nvar LinearRing = /** @class */ (function (_super) {\n    __extends(LinearRing, _super);\n    /**\n     * @param {Array<import(\"../coordinate.js\").Coordinate>|Array<number>} coordinates Coordinates.\n     *     For internal use, flat coordinates in combination with `opt_layout` are also accepted.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    function LinearRing(coordinates, opt_layout) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDeltaRevision_ = -1;\n        if (opt_layout !== undefined && !Array.isArray(coordinates[0])) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n        }\n        else {\n            _this.setCoordinates(\n            /** @type {Array<import(\"../coordinate.js\").Coordinate>} */ (coordinates), opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!LinearRing} Clone.\n     * @api\n     */\n    LinearRing.prototype.clone = function () {\n        return new LinearRing(this.flatCoordinates.slice(), this.layout);\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    LinearRing.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        if (this.maxDeltaRevision_ != this.getRevision()) {\n            this.maxDelta_ = Math.sqrt(maxSquaredDelta(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, 0));\n            this.maxDeltaRevision_ = this.getRevision();\n        }\n        return assignClosestPoint(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, this.maxDelta_, true, x, y, closestPoint, minSquaredDistance);\n    };\n    /**\n     * Return the area of the linear ring on projected plane.\n     * @return {number} Area (on projected plane).\n     * @api\n     */\n    LinearRing.prototype.getArea = function () {\n        return linearRingArea(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride);\n    };\n    /**\n     * Return the coordinates of the linear ring.\n     * @return {Array<import(\"../coordinate.js\").Coordinate>} Coordinates.\n     * @api\n     */\n    LinearRing.prototype.getCoordinates = function () {\n        return inflateCoordinates(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride);\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {LinearRing} Simplified LinearRing.\n     * @protected\n     */\n    LinearRing.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        var simplifiedFlatCoordinates = [];\n        simplifiedFlatCoordinates.length = douglasPeucker(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, squaredTolerance, simplifiedFlatCoordinates, 0);\n        return new LinearRing(simplifiedFlatCoordinates, GeometryLayout.XY);\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    LinearRing.prototype.getType = function () {\n        return GeometryType.LINEAR_RING;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    LinearRing.prototype.intersectsExtent = function (extent) {\n        return false;\n    };\n    /**\n     * Set the coordinates of the linear ring.\n     * @param {!Array<import(\"../coordinate.js\").Coordinate>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    LinearRing.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 1);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        this.flatCoordinates.length = deflateCoordinates(this.flatCoordinates, 0, coordinates, this.stride);\n        this.changed();\n    };\n    return LinearRing;\n}(SimpleGeometry));\nexport default LinearRing;\n//# sourceMappingURL=LinearRing.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/Point\n */\nimport GeometryType from './GeometryType.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { containsXY, createOrUpdateFromCoordinate } from '../extent.js';\nimport { deflateCoordinate } from './flat/deflate.js';\nimport { squaredDistance as squaredDx } from '../math.js';\n/**\n * @classdesc\n * Point geometry.\n *\n * @api\n */\nvar Point = /** @class */ (function (_super) {\n    __extends(Point, _super);\n    /**\n     * @param {import(\"../coordinate.js\").Coordinate} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    function Point(coordinates, opt_layout) {\n        var _this = _super.call(this) || this;\n        _this.setCoordinates(coordinates, opt_layout);\n        return _this;\n    }\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!Point} Clone.\n     * @api\n     */\n    Point.prototype.clone = function () {\n        var point = new Point(this.flatCoordinates.slice(), this.layout);\n        point.applyProperties(this);\n        return point;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    Point.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        var flatCoordinates = this.flatCoordinates;\n        var squaredDistance = squaredDx(x, y, flatCoordinates[0], flatCoordinates[1]);\n        if (squaredDistance < minSquaredDistance) {\n            var stride = this.stride;\n            for (var i = 0; i < stride; ++i) {\n                closestPoint[i] = flatCoordinates[i];\n            }\n            closestPoint.length = stride;\n            return squaredDistance;\n        }\n        else {\n            return minSquaredDistance;\n        }\n    };\n    /**\n     * Return the coordinate of the point.\n     * @return {import(\"../coordinate.js\").Coordinate} Coordinates.\n     * @api\n     */\n    Point.prototype.getCoordinates = function () {\n        return !this.flatCoordinates ? [] : this.flatCoordinates.slice();\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @protected\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     */\n    Point.prototype.computeExtent = function (extent) {\n        return createOrUpdateFromCoordinate(this.flatCoordinates, extent);\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    Point.prototype.getType = function () {\n        return GeometryType.POINT;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    Point.prototype.intersectsExtent = function (extent) {\n        return containsXY(extent, this.flatCoordinates[0], this.flatCoordinates[1]);\n    };\n    /**\n     * @param {!Array<*>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    Point.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 0);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        this.flatCoordinates.length = deflateCoordinate(this.flatCoordinates, 0, coordinates, this.stride);\n        this.changed();\n    };\n    return Point;\n}(SimpleGeometry));\nexport default Point;\n//# sourceMappingURL=Point.js.map","/**\n * @module ol/geom/flat/contains\n */\nimport { forEachCorner } from '../../extent.js';\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} Contains extent.\n */\nexport function linearRingContainsExtent(flatCoordinates, offset, end, stride, extent) {\n    var outside = forEachCorner(extent, \n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @return {boolean} Contains (x, y).\n     */\n    function (coordinate) {\n        return !linearRingContainsXY(flatCoordinates, offset, end, stride, coordinate[0], coordinate[1]);\n    });\n    return !outside;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} x X.\n * @param {number} y Y.\n * @return {boolean} Contains (x, y).\n */\nexport function linearRingContainsXY(flatCoordinates, offset, end, stride, x, y) {\n    // https://geomalgorithms.com/a03-_inclusion.html\n    // Copyright 2000 softSurfer, 2012 Dan Sunday\n    // This code may be freely used and modified for any purpose\n    // providing that this copyright notice is included with it.\n    // SoftSurfer makes no warranty for this code, and cannot be held\n    // liable for any real or imagined damage resulting from its use.\n    // Users of this code must verify correctness for their application.\n    var wn = 0;\n    var x1 = flatCoordinates[end - stride];\n    var y1 = flatCoordinates[end - stride + 1];\n    for (; offset < end; offset += stride) {\n        var x2 = flatCoordinates[offset];\n        var y2 = flatCoordinates[offset + 1];\n        if (y1 <= y) {\n            if (y2 > y && (x2 - x1) * (y - y1) - (x - x1) * (y2 - y1) > 0) {\n                wn++;\n            }\n        }\n        else if (y2 <= y && (x2 - x1) * (y - y1) - (x - x1) * (y2 - y1) < 0) {\n            wn--;\n        }\n        x1 = x2;\n        y1 = y2;\n    }\n    return wn !== 0;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} x X.\n * @param {number} y Y.\n * @return {boolean} Contains (x, y).\n */\nexport function linearRingsContainsXY(flatCoordinates, offset, ends, stride, x, y) {\n    if (ends.length === 0) {\n        return false;\n    }\n    if (!linearRingContainsXY(flatCoordinates, offset, ends[0], stride, x, y)) {\n        return false;\n    }\n    for (var i = 1, ii = ends.length; i < ii; ++i) {\n        if (linearRingContainsXY(flatCoordinates, ends[i - 1], ends[i], stride, x, y)) {\n            return false;\n        }\n    }\n    return true;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {number} x X.\n * @param {number} y Y.\n * @return {boolean} Contains (x, y).\n */\nexport function linearRingssContainsXY(flatCoordinates, offset, endss, stride, x, y) {\n    if (endss.length === 0) {\n        return false;\n    }\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        if (linearRingsContainsXY(flatCoordinates, offset, ends, stride, x, y)) {\n            return true;\n        }\n        offset = ends[ends.length - 1];\n    }\n    return false;\n}\n//# sourceMappingURL=contains.js.map","/**\n * @module ol/geom/flat/interiorpoint\n */\nimport { linearRingsContainsXY } from './contains.js';\nimport { numberSafeCompareFunction } from '../../array.js';\n/**\n * Calculates a point that is likely to lie in the interior of the linear rings.\n * Inspired by JTS's com.vividsolutions.jts.geom.Geometry#getInteriorPoint.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {Array<number>} flatCenters Flat centers.\n * @param {number} flatCentersOffset Flat center offset.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Destination point as XYM coordinate, where M is the\n * length of the horizontal intersection that the point belongs to.\n */\nexport function getInteriorPointOfArray(flatCoordinates, offset, ends, stride, flatCenters, flatCentersOffset, opt_dest) {\n    var i, ii, x, x1, x2, y1, y2;\n    var y = flatCenters[flatCentersOffset + 1];\n    /** @type {Array<number>} */\n    var intersections = [];\n    // Calculate intersections with the horizontal line\n    for (var r = 0, rr = ends.length; r < rr; ++r) {\n        var end = ends[r];\n        x1 = flatCoordinates[end - stride];\n        y1 = flatCoordinates[end - stride + 1];\n        for (i = offset; i < end; i += stride) {\n            x2 = flatCoordinates[i];\n            y2 = flatCoordinates[i + 1];\n            if ((y <= y1 && y2 <= y) || (y1 <= y && y <= y2)) {\n                x = ((y - y1) / (y2 - y1)) * (x2 - x1) + x1;\n                intersections.push(x);\n            }\n            x1 = x2;\n            y1 = y2;\n        }\n    }\n    // Find the longest segment of the horizontal line that has its center point\n    // inside the linear ring.\n    var pointX = NaN;\n    var maxSegmentLength = -Infinity;\n    intersections.sort(numberSafeCompareFunction);\n    x1 = intersections[0];\n    for (i = 1, ii = intersections.length; i < ii; ++i) {\n        x2 = intersections[i];\n        var segmentLength = Math.abs(x2 - x1);\n        if (segmentLength > maxSegmentLength) {\n            x = (x1 + x2) / 2;\n            if (linearRingsContainsXY(flatCoordinates, offset, ends, stride, x, y)) {\n                pointX = x;\n                maxSegmentLength = segmentLength;\n            }\n        }\n        x1 = x2;\n    }\n    if (isNaN(pointX)) {\n        // There is no horizontal line that has its center point inside the linear\n        // ring.  Use the center of the the linear ring's extent.\n        pointX = flatCenters[flatCentersOffset];\n    }\n    if (opt_dest) {\n        opt_dest.push(pointX, y, maxSegmentLength);\n        return opt_dest;\n    }\n    else {\n        return [pointX, y, maxSegmentLength];\n    }\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {Array<number>} flatCenters Flat centers.\n * @return {Array<number>} Interior points as XYM coordinates, where M is the\n * length of the horizontal intersection that the point belongs to.\n */\nexport function getInteriorPointsOfMultiArray(flatCoordinates, offset, endss, stride, flatCenters) {\n    var interiorPoints = [];\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        interiorPoints = getInteriorPointOfArray(flatCoordinates, offset, ends, stride, flatCenters, 2 * i, interiorPoints);\n        offset = ends[ends.length - 1];\n    }\n    return interiorPoints;\n}\n//# sourceMappingURL=interiorpoint.js.map","/**\n * @module ol/geom/flat/segments\n */\n/**\n * This function calls `callback` for each segment of the flat coordinates\n * array. If the callback returns a truthy value the function returns that\n * value immediately. Otherwise the function returns `false`.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {function(import(\"../../coordinate.js\").Coordinate, import(\"../../coordinate.js\").Coordinate): T} callback Function\n *     called for each segment.\n * @return {T|boolean} Value.\n * @template T\n */\nexport function forEach(flatCoordinates, offset, end, stride, callback) {\n    var ret;\n    offset += stride;\n    for (; offset < end; offset += stride) {\n        ret = callback(flatCoordinates.slice(offset - stride, offset), flatCoordinates.slice(offset, offset + stride));\n        if (ret) {\n            return ret;\n        }\n    }\n    return false;\n}\n//# sourceMappingURL=segments.js.map","/**\n * @module ol/geom/flat/intersectsextent\n */\nimport { containsExtent, createEmpty, extendFlatCoordinates, intersects, intersectsSegment, } from '../../extent.js';\nimport { forEach as forEachSegment } from './segments.js';\nimport { linearRingContainsExtent, linearRingContainsXY } from './contains.js';\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} True if the geometry and the extent intersect.\n */\nexport function intersectsLineString(flatCoordinates, offset, end, stride, extent) {\n    var coordinatesExtent = extendFlatCoordinates(createEmpty(), flatCoordinates, offset, end, stride);\n    if (!intersects(extent, coordinatesExtent)) {\n        return false;\n    }\n    if (containsExtent(extent, coordinatesExtent)) {\n        return true;\n    }\n    if (coordinatesExtent[0] >= extent[0] && coordinatesExtent[2] <= extent[2]) {\n        return true;\n    }\n    if (coordinatesExtent[1] >= extent[1] && coordinatesExtent[3] <= extent[3]) {\n        return true;\n    }\n    return forEachSegment(flatCoordinates, offset, end, stride, \n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} point1 Start point.\n     * @param {import(\"../../coordinate.js\").Coordinate} point2 End point.\n     * @return {boolean} `true` if the segment and the extent intersect,\n     *     `false` otherwise.\n     */\n    function (point1, point2) {\n        return intersectsSegment(extent, point1, point2);\n    });\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} True if the geometry and the extent intersect.\n */\nexport function intersectsLineStringArray(flatCoordinates, offset, ends, stride, extent) {\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        if (intersectsLineString(flatCoordinates, offset, ends[i], stride, extent)) {\n            return true;\n        }\n        offset = ends[i];\n    }\n    return false;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} True if the geometry and the extent intersect.\n */\nexport function intersectsLinearRing(flatCoordinates, offset, end, stride, extent) {\n    if (intersectsLineString(flatCoordinates, offset, end, stride, extent)) {\n        return true;\n    }\n    if (linearRingContainsXY(flatCoordinates, offset, end, stride, extent[0], extent[1])) {\n        return true;\n    }\n    if (linearRingContainsXY(flatCoordinates, offset, end, stride, extent[0], extent[3])) {\n        return true;\n    }\n    if (linearRingContainsXY(flatCoordinates, offset, end, stride, extent[2], extent[1])) {\n        return true;\n    }\n    if (linearRingContainsXY(flatCoordinates, offset, end, stride, extent[2], extent[3])) {\n        return true;\n    }\n    return false;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} True if the geometry and the extent intersect.\n */\nexport function intersectsLinearRingArray(flatCoordinates, offset, ends, stride, extent) {\n    if (!intersectsLinearRing(flatCoordinates, offset, ends[0], stride, extent)) {\n        return false;\n    }\n    if (ends.length === 1) {\n        return true;\n    }\n    for (var i = 1, ii = ends.length; i < ii; ++i) {\n        if (linearRingContainsExtent(flatCoordinates, ends[i - 1], ends[i], stride, extent)) {\n            if (!intersectsLineString(flatCoordinates, ends[i - 1], ends[i], stride, extent)) {\n                return false;\n            }\n        }\n    }\n    return true;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} True if the geometry and the extent intersect.\n */\nexport function intersectsLinearRingMultiArray(flatCoordinates, offset, endss, stride, extent) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        if (intersectsLinearRingArray(flatCoordinates, offset, ends, stride, extent)) {\n            return true;\n        }\n        offset = ends[ends.length - 1];\n    }\n    return false;\n}\n//# sourceMappingURL=intersectsextent.js.map","/**\n * @module ol/geom/flat/reverse\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n */\nexport function coordinates(flatCoordinates, offset, end, stride) {\n    while (offset < end - stride) {\n        for (var i = 0; i < stride; ++i) {\n            var tmp = flatCoordinates[offset + i];\n            flatCoordinates[offset + i] = flatCoordinates[end - stride + i];\n            flatCoordinates[end - stride + i] = tmp;\n        }\n        offset += stride;\n        end -= stride;\n    }\n}\n//# sourceMappingURL=reverse.js.map","/**\n * @module ol/geom/flat/orient\n */\nimport { coordinates as reverseCoordinates } from './reverse.js';\n/**\n * Is the linear ring oriented clockwise in a coordinate system with a bottom-left\n * coordinate origin? For a coordinate system with a top-left coordinate origin,\n * the ring's orientation is clockwise when this function returns false.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {boolean} Is clockwise.\n */\nexport function linearRingIsClockwise(flatCoordinates, offset, end, stride) {\n    // https://stackoverflow.com/q/1165647/clockwise-method#1165943\n    // https://github.com/OSGeo/gdal/blob/master/gdal/ogr/ogrlinearring.cpp\n    var edge = 0;\n    var x1 = flatCoordinates[end - stride];\n    var y1 = flatCoordinates[end - stride + 1];\n    for (; offset < end; offset += stride) {\n        var x2 = flatCoordinates[offset];\n        var y2 = flatCoordinates[offset + 1];\n        edge += (x2 - x1) * (y2 + y1);\n        x1 = x2;\n        y1 = y2;\n    }\n    return edge === 0 ? undefined : edge > 0;\n}\n/**\n * Determines if linear rings are oriented.  By default, left-hand orientation\n * is tested (first ring must be clockwise, remaining rings counter-clockwise).\n * To test for right-hand orientation, use the `opt_right` argument.\n *\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Array of end indexes.\n * @param {number} stride Stride.\n * @param {boolean} [opt_right] Test for right-hand orientation\n *     (counter-clockwise exterior ring and clockwise interior rings).\n * @return {boolean} Rings are correctly oriented.\n */\nexport function linearRingsAreOriented(flatCoordinates, offset, ends, stride, opt_right) {\n    var right = opt_right !== undefined ? opt_right : false;\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        var isClockwise = linearRingIsClockwise(flatCoordinates, offset, end, stride);\n        if (i === 0) {\n            if ((right && isClockwise) || (!right && !isClockwise)) {\n                return false;\n            }\n        }\n        else {\n            if ((right && !isClockwise) || (!right && isClockwise)) {\n                return false;\n            }\n        }\n        offset = end;\n    }\n    return true;\n}\n/**\n * Determines if linear rings are oriented.  By default, left-hand orientation\n * is tested (first ring must be clockwise, remaining rings counter-clockwise).\n * To test for right-hand orientation, use the `opt_right` argument.\n *\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Array of array of end indexes.\n * @param {number} stride Stride.\n * @param {boolean} [opt_right] Test for right-hand orientation\n *     (counter-clockwise exterior ring and clockwise interior rings).\n * @return {boolean} Rings are correctly oriented.\n */\nexport function linearRingssAreOriented(flatCoordinates, offset, endss, stride, opt_right) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        if (!linearRingsAreOriented(flatCoordinates, offset, ends, stride, opt_right)) {\n            return false;\n        }\n        if (ends.length) {\n            offset = ends[ends.length - 1];\n        }\n    }\n    return true;\n}\n/**\n * Orient coordinates in a flat array of linear rings.  By default, rings\n * are oriented following the left-hand rule (clockwise for exterior and\n * counter-clockwise for interior rings).  To orient according to the\n * right-hand rule, use the `opt_right` argument.\n *\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {boolean} [opt_right] Follow the right-hand rule for orientation.\n * @return {number} End.\n */\nexport function orientLinearRings(flatCoordinates, offset, ends, stride, opt_right) {\n    var right = opt_right !== undefined ? opt_right : false;\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        var isClockwise = linearRingIsClockwise(flatCoordinates, offset, end, stride);\n        var reverse = i === 0\n            ? (right && isClockwise) || (!right && !isClockwise)\n            : (right && !isClockwise) || (!right && isClockwise);\n        if (reverse) {\n            reverseCoordinates(flatCoordinates, offset, end, stride);\n        }\n        offset = end;\n    }\n    return offset;\n}\n/**\n * Orient coordinates in a flat array of linear rings.  By default, rings\n * are oriented following the left-hand rule (clockwise for exterior and\n * counter-clockwise for interior rings).  To orient according to the\n * right-hand rule, use the `opt_right` argument.\n *\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Array of array of end indexes.\n * @param {number} stride Stride.\n * @param {boolean} [opt_right] Follow the right-hand rule for orientation.\n * @return {number} End.\n */\nexport function orientLinearRingsArray(flatCoordinates, offset, endss, stride, opt_right) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        offset = orientLinearRings(flatCoordinates, offset, endss[i], stride, opt_right);\n    }\n    return offset;\n}\n//# sourceMappingURL=orient.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/Polygon\n */\nimport GeometryLayout from './GeometryLayout.js';\nimport GeometryType from './GeometryType.js';\nimport LinearRing from './LinearRing.js';\nimport Point from './Point.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { arrayMaxSquaredDelta, assignClosestArrayPoint } from './flat/closest.js';\nimport { closestSquaredDistanceXY, getCenter } from '../extent.js';\nimport { deflateCoordinatesArray } from './flat/deflate.js';\nimport { extend } from '../array.js';\nimport { getInteriorPointOfArray } from './flat/interiorpoint.js';\nimport { inflateCoordinatesArray } from './flat/inflate.js';\nimport { intersectsLinearRingArray } from './flat/intersectsextent.js';\nimport { linearRingsAreOriented, orientLinearRings } from './flat/orient.js';\nimport { linearRings as linearRingsArea } from './flat/area.js';\nimport { linearRingsContainsXY } from './flat/contains.js';\nimport { modulo } from '../math.js';\nimport { quantizeArray } from './flat/simplify.js';\nimport { offset as sphereOffset } from '../sphere.js';\n/**\n * @classdesc\n * Polygon geometry.\n *\n * @api\n */\nvar Polygon = /** @class */ (function (_super) {\n    __extends(Polygon, _super);\n    /**\n     * @param {!Array<Array<import(\"../coordinate.js\").Coordinate>>|!Array<number>} coordinates\n     *     Array of linear rings that define the polygon. The first linear ring of the\n     *     array defines the outer-boundary or surface of the polygon. Each subsequent\n     *     linear ring defines a hole in the surface of the polygon. A linear ring is\n     *     an array of vertices' coordinates where the first coordinate and the last are\n     *     equivalent. (For internal use, flat coordinates in combination with\n     *     `opt_layout` and `opt_ends` are also accepted.)\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @param {Array<number>} [opt_ends] Ends (for internal use with flat coordinates).\n     */\n    function Polygon(coordinates, opt_layout, opt_ends) {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {Array<number>}\n         * @private\n         */\n        _this.ends_ = [];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.flatInteriorPointRevision_ = -1;\n        /**\n         * @private\n         * @type {import(\"../coordinate.js\").Coordinate}\n         */\n        _this.flatInteriorPoint_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDeltaRevision_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.orientedRevision_ = -1;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.orientedFlatCoordinates_ = null;\n        if (opt_layout !== undefined && opt_ends) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n            _this.ends_ = opt_ends;\n        }\n        else {\n            _this.setCoordinates(\n            /** @type {Array<Array<import(\"../coordinate.js\").Coordinate>>} */ (coordinates), opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Append the passed linear ring to this polygon.\n     * @param {LinearRing} linearRing Linear ring.\n     * @api\n     */\n    Polygon.prototype.appendLinearRing = function (linearRing) {\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = linearRing.getFlatCoordinates().slice();\n        }\n        else {\n            extend(this.flatCoordinates, linearRing.getFlatCoordinates());\n        }\n        this.ends_.push(this.flatCoordinates.length);\n        this.changed();\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!Polygon} Clone.\n     * @api\n     */\n    Polygon.prototype.clone = function () {\n        var polygon = new Polygon(this.flatCoordinates.slice(), this.layout, this.ends_.slice());\n        polygon.applyProperties(this);\n        return polygon;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    Polygon.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        if (this.maxDeltaRevision_ != this.getRevision()) {\n            this.maxDelta_ = Math.sqrt(arrayMaxSquaredDelta(this.flatCoordinates, 0, this.ends_, this.stride, 0));\n            this.maxDeltaRevision_ = this.getRevision();\n        }\n        return assignClosestArrayPoint(this.flatCoordinates, 0, this.ends_, this.stride, this.maxDelta_, true, x, y, closestPoint, minSquaredDistance);\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @return {boolean} Contains (x, y).\n     */\n    Polygon.prototype.containsXY = function (x, y) {\n        return linearRingsContainsXY(this.getOrientedFlatCoordinates(), 0, this.ends_, this.stride, x, y);\n    };\n    /**\n     * Return the area of the polygon on projected plane.\n     * @return {number} Area (on projected plane).\n     * @api\n     */\n    Polygon.prototype.getArea = function () {\n        return linearRingsArea(this.getOrientedFlatCoordinates(), 0, this.ends_, this.stride);\n    };\n    /**\n     * Get the coordinate array for this geometry.  This array has the structure\n     * of a GeoJSON coordinate array for polygons.\n     *\n     * @param {boolean} [opt_right] Orient coordinates according to the right-hand\n     *     rule (counter-clockwise for exterior and clockwise for interior rings).\n     *     If `false`, coordinates will be oriented according to the left-hand rule\n     *     (clockwise for exterior and counter-clockwise for interior rings).\n     *     By default, coordinate orientation will depend on how the geometry was\n     *     constructed.\n     * @return {Array<Array<import(\"../coordinate.js\").Coordinate>>} Coordinates.\n     * @api\n     */\n    Polygon.prototype.getCoordinates = function (opt_right) {\n        var flatCoordinates;\n        if (opt_right !== undefined) {\n            flatCoordinates = this.getOrientedFlatCoordinates().slice();\n            orientLinearRings(flatCoordinates, 0, this.ends_, this.stride, opt_right);\n        }\n        else {\n            flatCoordinates = this.flatCoordinates;\n        }\n        return inflateCoordinatesArray(flatCoordinates, 0, this.ends_, this.stride);\n    };\n    /**\n     * @return {Array<number>} Ends.\n     */\n    Polygon.prototype.getEnds = function () {\n        return this.ends_;\n    };\n    /**\n     * @return {Array<number>} Interior point.\n     */\n    Polygon.prototype.getFlatInteriorPoint = function () {\n        if (this.flatInteriorPointRevision_ != this.getRevision()) {\n            var flatCenter = getCenter(this.getExtent());\n            this.flatInteriorPoint_ = getInteriorPointOfArray(this.getOrientedFlatCoordinates(), 0, this.ends_, this.stride, flatCenter, 0);\n            this.flatInteriorPointRevision_ = this.getRevision();\n        }\n        return this.flatInteriorPoint_;\n    };\n    /**\n     * Return an interior point of the polygon.\n     * @return {Point} Interior point as XYM coordinate, where M is the\n     * length of the horizontal intersection that the point belongs to.\n     * @api\n     */\n    Polygon.prototype.getInteriorPoint = function () {\n        return new Point(this.getFlatInteriorPoint(), GeometryLayout.XYM);\n    };\n    /**\n     * Return the number of rings of the polygon,  this includes the exterior\n     * ring and any interior rings.\n     *\n     * @return {number} Number of rings.\n     * @api\n     */\n    Polygon.prototype.getLinearRingCount = function () {\n        return this.ends_.length;\n    };\n    /**\n     * Return the Nth linear ring of the polygon geometry. Return `null` if the\n     * given index is out of range.\n     * The exterior linear ring is available at index `0` and the interior rings\n     * at index `1` and beyond.\n     *\n     * @param {number} index Index.\n     * @return {LinearRing} Linear ring.\n     * @api\n     */\n    Polygon.prototype.getLinearRing = function (index) {\n        if (index < 0 || this.ends_.length <= index) {\n            return null;\n        }\n        return new LinearRing(this.flatCoordinates.slice(index === 0 ? 0 : this.ends_[index - 1], this.ends_[index]), this.layout);\n    };\n    /**\n     * Return the linear rings of the polygon.\n     * @return {Array<LinearRing>} Linear rings.\n     * @api\n     */\n    Polygon.prototype.getLinearRings = function () {\n        var layout = this.layout;\n        var flatCoordinates = this.flatCoordinates;\n        var ends = this.ends_;\n        var linearRings = [];\n        var offset = 0;\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            var end = ends[i];\n            var linearRing = new LinearRing(flatCoordinates.slice(offset, end), layout);\n            linearRings.push(linearRing);\n            offset = end;\n        }\n        return linearRings;\n    };\n    /**\n     * @return {Array<number>} Oriented flat coordinates.\n     */\n    Polygon.prototype.getOrientedFlatCoordinates = function () {\n        if (this.orientedRevision_ != this.getRevision()) {\n            var flatCoordinates = this.flatCoordinates;\n            if (linearRingsAreOriented(flatCoordinates, 0, this.ends_, this.stride)) {\n                this.orientedFlatCoordinates_ = flatCoordinates;\n            }\n            else {\n                this.orientedFlatCoordinates_ = flatCoordinates.slice();\n                this.orientedFlatCoordinates_.length = orientLinearRings(this.orientedFlatCoordinates_, 0, this.ends_, this.stride);\n            }\n            this.orientedRevision_ = this.getRevision();\n        }\n        return this.orientedFlatCoordinates_;\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {Polygon} Simplified Polygon.\n     * @protected\n     */\n    Polygon.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        var simplifiedFlatCoordinates = [];\n        var simplifiedEnds = [];\n        simplifiedFlatCoordinates.length = quantizeArray(this.flatCoordinates, 0, this.ends_, this.stride, Math.sqrt(squaredTolerance), simplifiedFlatCoordinates, 0, simplifiedEnds);\n        return new Polygon(simplifiedFlatCoordinates, GeometryLayout.XY, simplifiedEnds);\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    Polygon.prototype.getType = function () {\n        return GeometryType.POLYGON;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    Polygon.prototype.intersectsExtent = function (extent) {\n        return intersectsLinearRingArray(this.getOrientedFlatCoordinates(), 0, this.ends_, this.stride, extent);\n    };\n    /**\n     * Set the coordinates of the polygon.\n     * @param {!Array<Array<import(\"../coordinate.js\").Coordinate>>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    Polygon.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 2);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        var ends = deflateCoordinatesArray(this.flatCoordinates, 0, coordinates, this.stride, this.ends_);\n        this.flatCoordinates.length = ends.length === 0 ? 0 : ends[ends.length - 1];\n        this.changed();\n    };\n    return Polygon;\n}(SimpleGeometry));\nexport default Polygon;\n/**\n * Create an approximation of a circle on the surface of a sphere.\n * @param {import(\"../coordinate.js\").Coordinate} center Center (`[lon, lat]` in degrees).\n * @param {number} radius The great-circle distance from the center to\n *     the polygon vertices in meters.\n * @param {number} [opt_n] Optional number of vertices for the resulting\n *     polygon. Default is `32`.\n * @param {number} [opt_sphereRadius] Optional radius for the sphere (defaults to\n *     the Earth's mean radius using the WGS84 ellipsoid).\n * @return {Polygon} The \"circular\" polygon.\n * @api\n */\nexport function circular(center, radius, opt_n, opt_sphereRadius) {\n    var n = opt_n ? opt_n : 32;\n    /** @type {Array<number>} */\n    var flatCoordinates = [];\n    for (var i = 0; i < n; ++i) {\n        extend(flatCoordinates, sphereOffset(center, radius, (2 * Math.PI * i) / n, opt_sphereRadius));\n    }\n    flatCoordinates.push(flatCoordinates[0], flatCoordinates[1]);\n    return new Polygon(flatCoordinates, GeometryLayout.XY, [\n        flatCoordinates.length,\n    ]);\n}\n/**\n * Create a polygon from an extent. The layout used is `XY`.\n * @param {import(\"../extent.js\").Extent} extent The extent.\n * @return {Polygon} The polygon.\n * @api\n */\nexport function fromExtent(extent) {\n    var minX = extent[0];\n    var minY = extent[1];\n    var maxX = extent[2];\n    var maxY = extent[3];\n    var flatCoordinates = [\n        minX,\n        minY,\n        minX,\n        maxY,\n        maxX,\n        maxY,\n        maxX,\n        minY,\n        minX,\n        minY,\n    ];\n    return new Polygon(flatCoordinates, GeometryLayout.XY, [\n        flatCoordinates.length,\n    ]);\n}\n/**\n * Create a regular polygon from a circle.\n * @param {import(\"./Circle.js\").default} circle Circle geometry.\n * @param {number} [opt_sides] Number of sides of the polygon. Default is 32.\n * @param {number} [opt_angle] Start angle for the first vertex of the polygon in\n *     counter-clockwise radians. 0 means East. Default is 0.\n * @return {Polygon} Polygon geometry.\n * @api\n */\nexport function fromCircle(circle, opt_sides, opt_angle) {\n    var sides = opt_sides ? opt_sides : 32;\n    var stride = circle.getStride();\n    var layout = circle.getLayout();\n    var center = circle.getCenter();\n    var arrayLength = stride * (sides + 1);\n    var flatCoordinates = new Array(arrayLength);\n    for (var i = 0; i < arrayLength; i += stride) {\n        flatCoordinates[i] = 0;\n        flatCoordinates[i + 1] = 0;\n        for (var j = 2; j < stride; j++) {\n            flatCoordinates[i + j] = center[j];\n        }\n    }\n    var ends = [flatCoordinates.length];\n    var polygon = new Polygon(flatCoordinates, layout, ends);\n    makeRegular(polygon, center, circle.getRadius(), opt_angle);\n    return polygon;\n}\n/**\n * Modify the coordinates of a polygon to make it a regular polygon.\n * @param {Polygon} polygon Polygon geometry.\n * @param {import(\"../coordinate.js\").Coordinate} center Center of the regular polygon.\n * @param {number} radius Radius of the regular polygon.\n * @param {number} [opt_angle] Start angle for the first vertex of the polygon in\n *     counter-clockwise radians. 0 means East. Default is 0.\n */\nexport function makeRegular(polygon, center, radius, opt_angle) {\n    var flatCoordinates = polygon.getFlatCoordinates();\n    var stride = polygon.getStride();\n    var sides = flatCoordinates.length / stride - 1;\n    var startAngle = opt_angle ? opt_angle : 0;\n    for (var i = 0; i <= sides; ++i) {\n        var offset = i * stride;\n        var angle = startAngle + (modulo(i, sides) * 2 * Math.PI) / sides;\n        flatCoordinates[offset] = center[0] + radius * Math.cos(angle);\n        flatCoordinates[offset + 1] = center[1] + radius * Math.sin(angle);\n    }\n    polygon.changed();\n}\n//# sourceMappingURL=Polygon.js.map","/**\n * @module ol/render/EventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered before a layer is rendered.\n     * @event module:ol/render/Event~RenderEvent#prerender\n     * @api\n     */\n    PRERENDER: 'prerender',\n    /**\n     * Triggered after a layer is rendered.\n     * @event module:ol/render/Event~RenderEvent#postrender\n     * @api\n     */\n    POSTRENDER: 'postrender',\n    /**\n     * Triggered before layers are composed.  When dispatched by the map, the event object will not have\n     * a `context` set.  When dispatched by a layer, the event object will have a `context` set.  Only\n     * WebGL layers currently dispatch this event.\n     * @event module:ol/render/Event~RenderEvent#precompose\n     * @api\n     */\n    PRECOMPOSE: 'precompose',\n    /**\n     * Triggered after layers are composed.  When dispatched by the map, the event object will not have\n     * a `context` set.  When dispatched by a layer, the event object will have a `context` set.  Only\n     * WebGL layers currently dispatch this event.\n     * @event module:ol/render/Event~RenderEvent#postcompose\n     * @api\n     */\n    POSTCOMPOSE: 'postcompose',\n    /**\n     * Triggered when rendering is complete, i.e. all sources and tiles have\n     * finished loading for the current viewport, and all tiles are faded in.\n     * The event object will not have a `context` set.\n     * @event module:ol/render/Event~RenderEvent#rendercomplete\n     * @api\n     */\n    RENDERCOMPLETE: 'rendercomplete',\n};\n/**\n * @typedef {'postrender'|'precompose'|'postcompose'|'rendercomplete'} MapRenderEventTypes\n */\n/**\n * @typedef {'postrender'|'prerender'} LayerRenderEventTypes\n */\n//# sourceMappingURL=EventType.js.map","/**\n * @module ol/style/Fill\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} [color=null] A color, gradient or pattern.\n * See {@link module:ol/color~Color} and {@link module:ol/colorlike~ColorLike} for possible formats.\n * Default null; if null, the Canvas/renderer default black will be used.\n */\n/**\n * @classdesc\n * Set fill style for vector features.\n * @api\n */\nvar Fill = /** @class */ (function () {\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Fill(opt_options) {\n        var options = opt_options || {};\n        /**\n         * @private\n         * @type {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike}\n         */\n        this.color_ = options.color !== undefined ? options.color : null;\n    }\n    /**\n     * Clones the style. The color is not cloned if it is an {@link module:ol/colorlike~ColorLike}.\n     * @return {Fill} The cloned style.\n     * @api\n     */\n    Fill.prototype.clone = function () {\n        var color = this.getColor();\n        return new Fill({\n            color: Array.isArray(color) ? color.slice() : color || undefined,\n        });\n    };\n    /**\n     * Get the fill color.\n     * @return {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} Color.\n     * @api\n     */\n    Fill.prototype.getColor = function () {\n        return this.color_;\n    };\n    /**\n     * Set the color.\n     *\n     * @param {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} color Color.\n     * @api\n     */\n    Fill.prototype.setColor = function (color) {\n        this.color_ = color;\n    };\n    return Fill;\n}());\nexport default Fill;\n//# sourceMappingURL=Fill.js.map","/**\n * @module ol/geom/flat/interpolate\n */\nimport { binarySearch } from '../../array.js';\nimport { lerp } from '../../math.js';\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} fraction Fraction.\n * @param {Array<number>} [opt_dest] Destination.\n * @param {number} [opt_dimension] Destination dimension (default is `2`)\n * @return {Array<number>} Destination.\n */\nexport function interpolatePoint(flatCoordinates, offset, end, stride, fraction, opt_dest, opt_dimension) {\n    var o, t;\n    var n = (end - offset) / stride;\n    if (n === 1) {\n        o = offset;\n    }\n    else if (n === 2) {\n        o = offset;\n        t = fraction;\n    }\n    else if (n !== 0) {\n        var x1 = flatCoordinates[offset];\n        var y1 = flatCoordinates[offset + 1];\n        var length_1 = 0;\n        var cumulativeLengths = [0];\n        for (var i = offset + stride; i < end; i += stride) {\n            var x2 = flatCoordinates[i];\n            var y2 = flatCoordinates[i + 1];\n            length_1 += Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1));\n            cumulativeLengths.push(length_1);\n            x1 = x2;\n            y1 = y2;\n        }\n        var target = fraction * length_1;\n        var index = binarySearch(cumulativeLengths, target);\n        if (index < 0) {\n            t =\n                (target - cumulativeLengths[-index - 2]) /\n                    (cumulativeLengths[-index - 1] - cumulativeLengths[-index - 2]);\n            o = offset + (-index - 2) * stride;\n        }\n        else {\n            o = offset + index * stride;\n        }\n    }\n    var dimension = opt_dimension > 1 ? opt_dimension : 2;\n    var dest = opt_dest ? opt_dest : new Array(dimension);\n    for (var i = 0; i < dimension; ++i) {\n        dest[i] =\n            o === undefined\n                ? NaN\n                : t === undefined\n                    ? flatCoordinates[o + i]\n                    : lerp(flatCoordinates[o + i], flatCoordinates[o + stride + i], t);\n    }\n    return dest;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} m M.\n * @param {boolean} extrapolate Extrapolate.\n * @return {import(\"../../coordinate.js\").Coordinate} Coordinate.\n */\nexport function lineStringCoordinateAtM(flatCoordinates, offset, end, stride, m, extrapolate) {\n    if (end == offset) {\n        return null;\n    }\n    var coordinate;\n    if (m < flatCoordinates[offset + stride - 1]) {\n        if (extrapolate) {\n            coordinate = flatCoordinates.slice(offset, offset + stride);\n            coordinate[stride - 1] = m;\n            return coordinate;\n        }\n        else {\n            return null;\n        }\n    }\n    else if (flatCoordinates[end - 1] < m) {\n        if (extrapolate) {\n            coordinate = flatCoordinates.slice(end - stride, end);\n            coordinate[stride - 1] = m;\n            return coordinate;\n        }\n        else {\n            return null;\n        }\n    }\n    // FIXME use O(1) search\n    if (m == flatCoordinates[offset + stride - 1]) {\n        return flatCoordinates.slice(offset, offset + stride);\n    }\n    var lo = offset / stride;\n    var hi = end / stride;\n    while (lo < hi) {\n        var mid = (lo + hi) >> 1;\n        if (m < flatCoordinates[(mid + 1) * stride - 1]) {\n            hi = mid;\n        }\n        else {\n            lo = mid + 1;\n        }\n    }\n    var m0 = flatCoordinates[lo * stride - 1];\n    if (m == m0) {\n        return flatCoordinates.slice((lo - 1) * stride, (lo - 1) * stride + stride);\n    }\n    var m1 = flatCoordinates[(lo + 1) * stride - 1];\n    var t = (m - m0) / (m1 - m0);\n    coordinate = [];\n    for (var i = 0; i < stride - 1; ++i) {\n        coordinate.push(lerp(flatCoordinates[(lo - 1) * stride + i], flatCoordinates[lo * stride + i], t));\n    }\n    coordinate.push(m);\n    return coordinate;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} m M.\n * @param {boolean} extrapolate Extrapolate.\n * @param {boolean} interpolate Interpolate.\n * @return {import(\"../../coordinate.js\").Coordinate} Coordinate.\n */\nexport function lineStringsCoordinateAtM(flatCoordinates, offset, ends, stride, m, extrapolate, interpolate) {\n    if (interpolate) {\n        return lineStringCoordinateAtM(flatCoordinates, offset, ends[ends.length - 1], stride, m, extrapolate);\n    }\n    var coordinate;\n    if (m < flatCoordinates[stride - 1]) {\n        if (extrapolate) {\n            coordinate = flatCoordinates.slice(0, stride);\n            coordinate[stride - 1] = m;\n            return coordinate;\n        }\n        else {\n            return null;\n        }\n    }\n    if (flatCoordinates[flatCoordinates.length - 1] < m) {\n        if (extrapolate) {\n            coordinate = flatCoordinates.slice(flatCoordinates.length - stride);\n            coordinate[stride - 1] = m;\n            return coordinate;\n        }\n        else {\n            return null;\n        }\n    }\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        if (offset == end) {\n            continue;\n        }\n        if (m < flatCoordinates[offset + stride - 1]) {\n            return null;\n        }\n        else if (m <= flatCoordinates[end - 1]) {\n            return lineStringCoordinateAtM(flatCoordinates, offset, end, stride, m, false);\n        }\n        offset = end;\n    }\n    return null;\n}\n//# sourceMappingURL=interpolate.js.map","/**\n * @module ol/geom/flat/length\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {number} Length.\n */\nexport function lineStringLength(flatCoordinates, offset, end, stride) {\n    var x1 = flatCoordinates[offset];\n    var y1 = flatCoordinates[offset + 1];\n    var length = 0;\n    for (var i = offset + stride; i < end; i += stride) {\n        var x2 = flatCoordinates[i];\n        var y2 = flatCoordinates[i + 1];\n        length += Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1));\n        x1 = x2;\n        y1 = y2;\n    }\n    return length;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {number} Perimeter.\n */\nexport function linearRingLength(flatCoordinates, offset, end, stride) {\n    var perimeter = lineStringLength(flatCoordinates, offset, end, stride);\n    var dx = flatCoordinates[end - stride] - flatCoordinates[offset];\n    var dy = flatCoordinates[end - stride + 1] - flatCoordinates[offset + 1];\n    perimeter += Math.sqrt(dx * dx + dy * dy);\n    return perimeter;\n}\n//# sourceMappingURL=length.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/LineString\n */\nimport GeometryLayout from './GeometryLayout.js';\nimport GeometryType from './GeometryType.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { assignClosestPoint, maxSquaredDelta } from './flat/closest.js';\nimport { closestSquaredDistanceXY } from '../extent.js';\nimport { deflateCoordinates } from './flat/deflate.js';\nimport { douglasPeucker } from './flat/simplify.js';\nimport { extend } from '../array.js';\nimport { forEach as forEachSegment } from './flat/segments.js';\nimport { inflateCoordinates } from './flat/inflate.js';\nimport { interpolatePoint, lineStringCoordinateAtM } from './flat/interpolate.js';\nimport { intersectsLineString } from './flat/intersectsextent.js';\nimport { lineStringLength } from './flat/length.js';\n/**\n * @classdesc\n * Linestring geometry.\n *\n * @api\n */\nvar LineString = /** @class */ (function (_super) {\n    __extends(LineString, _super);\n    /**\n     * @param {Array<import(\"../coordinate.js\").Coordinate>|Array<number>} coordinates Coordinates.\n     *     For internal use, flat coordinates in combination with `opt_layout` are also accepted.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    function LineString(coordinates, opt_layout) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {import(\"../coordinate.js\").Coordinate}\n         */\n        _this.flatMidpoint_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.flatMidpointRevision_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDeltaRevision_ = -1;\n        if (opt_layout !== undefined && !Array.isArray(coordinates[0])) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n        }\n        else {\n            _this.setCoordinates(\n            /** @type {Array<import(\"../coordinate.js\").Coordinate>} */ (coordinates), opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Append the passed coordinate to the coordinates of the linestring.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @api\n     */\n    LineString.prototype.appendCoordinate = function (coordinate) {\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = coordinate.slice();\n        }\n        else {\n            extend(this.flatCoordinates, coordinate);\n        }\n        this.changed();\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!LineString} Clone.\n     * @api\n     */\n    LineString.prototype.clone = function () {\n        var lineString = new LineString(this.flatCoordinates.slice(), this.layout);\n        lineString.applyProperties(this);\n        return lineString;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    LineString.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        if (this.maxDeltaRevision_ != this.getRevision()) {\n            this.maxDelta_ = Math.sqrt(maxSquaredDelta(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, 0));\n            this.maxDeltaRevision_ = this.getRevision();\n        }\n        return assignClosestPoint(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, this.maxDelta_, false, x, y, closestPoint, minSquaredDistance);\n    };\n    /**\n     * Iterate over each segment, calling the provided callback.\n     * If the callback returns a truthy value the function returns that\n     * value immediately. Otherwise the function returns `false`.\n     *\n     * @param {function(this: S, import(\"../coordinate.js\").Coordinate, import(\"../coordinate.js\").Coordinate): T} callback Function\n     *     called for each segment. The function will receive two arguments, the start and end coordinates of the segment.\n     * @return {T|boolean} Value.\n     * @template T,S\n     * @api\n     */\n    LineString.prototype.forEachSegment = function (callback) {\n        return forEachSegment(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, callback);\n    };\n    /**\n     * Returns the coordinate at `m` using linear interpolation, or `null` if no\n     * such coordinate exists.\n     *\n     * `opt_extrapolate` controls extrapolation beyond the range of Ms in the\n     * MultiLineString. If `opt_extrapolate` is `true` then Ms less than the first\n     * M will return the first coordinate and Ms greater than the last M will\n     * return the last coordinate.\n     *\n     * @param {number} m M.\n     * @param {boolean} [opt_extrapolate] Extrapolate. Default is `false`.\n     * @return {import(\"../coordinate.js\").Coordinate} Coordinate.\n     * @api\n     */\n    LineString.prototype.getCoordinateAtM = function (m, opt_extrapolate) {\n        if (this.layout != GeometryLayout.XYM &&\n            this.layout != GeometryLayout.XYZM) {\n            return null;\n        }\n        var extrapolate = opt_extrapolate !== undefined ? opt_extrapolate : false;\n        return lineStringCoordinateAtM(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, m, extrapolate);\n    };\n    /**\n     * Return the coordinates of the linestring.\n     * @return {Array<import(\"../coordinate.js\").Coordinate>} Coordinates.\n     * @api\n     */\n    LineString.prototype.getCoordinates = function () {\n        return inflateCoordinates(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride);\n    };\n    /**\n     * Return the coordinate at the provided fraction along the linestring.\n     * The `fraction` is a number between 0 and 1, where 0 is the start of the\n     * linestring and 1 is the end.\n     * @param {number} fraction Fraction.\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_dest] Optional coordinate whose values will\n     *     be modified. If not provided, a new coordinate will be returned.\n     * @return {import(\"../coordinate.js\").Coordinate} Coordinate of the interpolated point.\n     * @api\n     */\n    LineString.prototype.getCoordinateAt = function (fraction, opt_dest) {\n        return interpolatePoint(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, fraction, opt_dest, this.stride);\n    };\n    /**\n     * Return the length of the linestring on projected plane.\n     * @return {number} Length (on projected plane).\n     * @api\n     */\n    LineString.prototype.getLength = function () {\n        return lineStringLength(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride);\n    };\n    /**\n     * @return {Array<number>} Flat midpoint.\n     */\n    LineString.prototype.getFlatMidpoint = function () {\n        if (this.flatMidpointRevision_ != this.getRevision()) {\n            this.flatMidpoint_ = this.getCoordinateAt(0.5, this.flatMidpoint_);\n            this.flatMidpointRevision_ = this.getRevision();\n        }\n        return this.flatMidpoint_;\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {LineString} Simplified LineString.\n     * @protected\n     */\n    LineString.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        var simplifiedFlatCoordinates = [];\n        simplifiedFlatCoordinates.length = douglasPeucker(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, squaredTolerance, simplifiedFlatCoordinates, 0);\n        return new LineString(simplifiedFlatCoordinates, GeometryLayout.XY);\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    LineString.prototype.getType = function () {\n        return GeometryType.LINE_STRING;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    LineString.prototype.intersectsExtent = function (extent) {\n        return intersectsLineString(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, extent);\n    };\n    /**\n     * Set the coordinates of the linestring.\n     * @param {!Array<import(\"../coordinate.js\").Coordinate>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    LineString.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 1);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        this.flatCoordinates.length = deflateCoordinates(this.flatCoordinates, 0, coordinates, this.stride);\n        this.changed();\n    };\n    return LineString;\n}(SimpleGeometry));\nexport default LineString;\n//# sourceMappingURL=LineString.js.map","/**\n * @module ol/style/Stroke\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} [color] A color, gradient or pattern.\n * See {@link module:ol/color~Color} and {@link module:ol/colorlike~ColorLike} for possible formats.\n * Default null; if null, the Canvas/renderer default black will be used.\n * @property {CanvasLineCap} [lineCap='round'] Line cap style: `butt`, `round`, or `square`.\n * @property {CanvasLineJoin} [lineJoin='round'] Line join style: `bevel`, `round`, or `miter`.\n * @property {Array<number>} [lineDash] Line dash pattern. Default is `null` (no dash).\n * Please note that Internet Explorer 10 and lower do not support the `setLineDash` method on\n * the `CanvasRenderingContext2D` and therefore this option will have no visual effect in these browsers.\n * @property {number} [lineDashOffset=0] Line dash offset.\n * @property {number} [miterLimit=10] Miter limit.\n * @property {number} [width] Width.\n */\n/**\n * @classdesc\n * Set stroke style for vector features.\n * Note that the defaults given are the Canvas defaults, which will be used if\n * option is not defined. The `get` functions return whatever was entered in\n * the options; they will not return the default.\n * @api\n */\nvar Stroke = /** @class */ (function () {\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Stroke(opt_options) {\n        var options = opt_options || {};\n        /**\n         * @private\n         * @type {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike}\n         */\n        this.color_ = options.color !== undefined ? options.color : null;\n        /**\n         * @private\n         * @type {CanvasLineCap|undefined}\n         */\n        this.lineCap_ = options.lineCap;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.lineDash_ = options.lineDash !== undefined ? options.lineDash : null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.lineDashOffset_ = options.lineDashOffset;\n        /**\n         * @private\n         * @type {CanvasLineJoin|undefined}\n         */\n        this.lineJoin_ = options.lineJoin;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.miterLimit_ = options.miterLimit;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.width_ = options.width;\n    }\n    /**\n     * Clones the style.\n     * @return {Stroke} The cloned style.\n     * @api\n     */\n    Stroke.prototype.clone = function () {\n        var color = this.getColor();\n        return new Stroke({\n            color: Array.isArray(color) ? color.slice() : color || undefined,\n            lineCap: this.getLineCap(),\n            lineDash: this.getLineDash() ? this.getLineDash().slice() : undefined,\n            lineDashOffset: this.getLineDashOffset(),\n            lineJoin: this.getLineJoin(),\n            miterLimit: this.getMiterLimit(),\n            width: this.getWidth(),\n        });\n    };\n    /**\n     * Get the stroke color.\n     * @return {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} Color.\n     * @api\n     */\n    Stroke.prototype.getColor = function () {\n        return this.color_;\n    };\n    /**\n     * Get the line cap type for the stroke.\n     * @return {CanvasLineCap|undefined} Line cap.\n     * @api\n     */\n    Stroke.prototype.getLineCap = function () {\n        return this.lineCap_;\n    };\n    /**\n     * Get the line dash style for the stroke.\n     * @return {Array<number>} Line dash.\n     * @api\n     */\n    Stroke.prototype.getLineDash = function () {\n        return this.lineDash_;\n    };\n    /**\n     * Get the line dash offset for the stroke.\n     * @return {number|undefined} Line dash offset.\n     * @api\n     */\n    Stroke.prototype.getLineDashOffset = function () {\n        return this.lineDashOffset_;\n    };\n    /**\n     * Get the line join type for the stroke.\n     * @return {CanvasLineJoin|undefined} Line join.\n     * @api\n     */\n    Stroke.prototype.getLineJoin = function () {\n        return this.lineJoin_;\n    };\n    /**\n     * Get the miter limit for the stroke.\n     * @return {number|undefined} Miter limit.\n     * @api\n     */\n    Stroke.prototype.getMiterLimit = function () {\n        return this.miterLimit_;\n    };\n    /**\n     * Get the stroke width.\n     * @return {number|undefined} Width.\n     * @api\n     */\n    Stroke.prototype.getWidth = function () {\n        return this.width_;\n    };\n    /**\n     * Set the color.\n     *\n     * @param {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} color Color.\n     * @api\n     */\n    Stroke.prototype.setColor = function (color) {\n        this.color_ = color;\n    };\n    /**\n     * Set the line cap.\n     *\n     * @param {CanvasLineCap|undefined} lineCap Line cap.\n     * @api\n     */\n    Stroke.prototype.setLineCap = function (lineCap) {\n        this.lineCap_ = lineCap;\n    };\n    /**\n     * Set the line dash.\n     *\n     * Please note that Internet Explorer 10 and lower [do not support][mdn] the\n     * `setLineDash` method on the `CanvasRenderingContext2D` and therefore this\n     * property will have no visual effect in these browsers.\n     *\n     * [mdn]: https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/setLineDash#Browser_compatibility\n     *\n     * @param {Array<number>} lineDash Line dash.\n     * @api\n     */\n    Stroke.prototype.setLineDash = function (lineDash) {\n        this.lineDash_ = lineDash;\n    };\n    /**\n     * Set the line dash offset.\n     *\n     * @param {number|undefined} lineDashOffset Line dash offset.\n     * @api\n     */\n    Stroke.prototype.setLineDashOffset = function (lineDashOffset) {\n        this.lineDashOffset_ = lineDashOffset;\n    };\n    /**\n     * Set the line join.\n     *\n     * @param {CanvasLineJoin|undefined} lineJoin Line join.\n     * @api\n     */\n    Stroke.prototype.setLineJoin = function (lineJoin) {\n        this.lineJoin_ = lineJoin;\n    };\n    /**\n     * Set the miter limit.\n     *\n     * @param {number|undefined} miterLimit Miter limit.\n     * @api\n     */\n    Stroke.prototype.setMiterLimit = function (miterLimit) {\n        this.miterLimit_ = miterLimit;\n    };\n    /**\n     * Set the width.\n     *\n     * @param {number|undefined} width Width.\n     * @api\n     */\n    Stroke.prototype.setWidth = function (width) {\n        this.width_ = width;\n    };\n    return Stroke;\n}());\nexport default Stroke;\n//# sourceMappingURL=Stroke.js.map","/**\n * @module ol/ImageState\n */\n/**\n * @enum {number}\n */\nexport default {\n    IDLE: 0,\n    LOADING: 1,\n    LOADED: 2,\n    ERROR: 3,\n    EMPTY: 4,\n};\n//# sourceMappingURL=ImageState.js.map","/**\n * @module ol/size\n */\n/**\n * An array of numbers representing a size: `[width, height]`.\n * @typedef {Array<number>} Size\n * @api\n */\n/**\n * Returns a buffered size.\n * @param {Size} size Size.\n * @param {number} num The amount by which to buffer.\n * @param {Size} [opt_size] Optional reusable size array.\n * @return {Size} The buffered size.\n */\nexport function buffer(size, num, opt_size) {\n    if (opt_size === undefined) {\n        opt_size = [0, 0];\n    }\n    opt_size[0] = size[0] + 2 * num;\n    opt_size[1] = size[1] + 2 * num;\n    return opt_size;\n}\n/**\n * Determines if a size has a positive area.\n * @param {Size} size The size to test.\n * @return {boolean} The size has a positive area.\n */\nexport function hasArea(size) {\n    return size[0] > 0 && size[1] > 0;\n}\n/**\n * Returns a size scaled by a ratio. The result will be an array of integers.\n * @param {Size} size Size.\n * @param {number} ratio Ratio.\n * @param {Size} [opt_size] Optional reusable size array.\n * @return {Size} The scaled size.\n */\nexport function scale(size, ratio, opt_size) {\n    if (opt_size === undefined) {\n        opt_size = [0, 0];\n    }\n    opt_size[0] = (size[0] * ratio + 0.5) | 0;\n    opt_size[1] = (size[1] * ratio + 0.5) | 0;\n    return opt_size;\n}\n/**\n * Returns an `Size` array for the passed in number (meaning: square) or\n * `Size` array.\n * (meaning: non-square),\n * @param {number|Size} size Width and height.\n * @param {Size} [opt_size] Optional reusable size array.\n * @return {Size} Size.\n * @api\n */\nexport function toSize(size, opt_size) {\n    if (Array.isArray(size)) {\n        return size;\n    }\n    else {\n        if (opt_size === undefined) {\n            opt_size = [size, size];\n        }\n        else {\n            opt_size[0] = size;\n            opt_size[1] = size;\n        }\n        return opt_size;\n    }\n}\n//# sourceMappingURL=size.js.map","/**\n * @module ol/style/Image\n */\nimport { abstract } from '../util.js';\nimport { toSize } from '../size.js';\n/**\n * @typedef {Object} Options\n * @property {number} opacity Opacity.\n * @property {boolean} rotateWithView If the image should get rotated with the view.\n * @property {number} rotation Rotation.\n * @property {number|import(\"../size.js\").Size} scale Scale.\n * @property {Array<number>} displacement Displacement.\n */\n/**\n * @classdesc\n * A base class used for creating subclasses and not instantiated in\n * apps. Base class for {@link module:ol/style/Icon~Icon}, {@link module:ol/style/Circle~CircleStyle} and\n * {@link module:ol/style/RegularShape~RegularShape}.\n * @abstract\n * @api\n */\nvar ImageStyle = /** @class */ (function () {\n    /**\n     * @param {Options} options Options.\n     */\n    function ImageStyle(options) {\n        /**\n         * @private\n         * @type {number}\n         */\n        this.opacity_ = options.opacity;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.rotateWithView_ = options.rotateWithView;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.rotation_ = options.rotation;\n        /**\n         * @private\n         * @type {number|import(\"../size.js\").Size}\n         */\n        this.scale_ = options.scale;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        this.scaleArray_ = toSize(options.scale);\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.displacement_ = options.displacement;\n    }\n    /**\n     * Clones the style.\n     * @return {ImageStyle} The cloned style.\n     * @api\n     */\n    ImageStyle.prototype.clone = function () {\n        var scale = this.getScale();\n        return new ImageStyle({\n            opacity: this.getOpacity(),\n            scale: Array.isArray(scale) ? scale.slice() : scale,\n            rotation: this.getRotation(),\n            rotateWithView: this.getRotateWithView(),\n            displacement: this.getDisplacement().slice(),\n        });\n    };\n    /**\n     * Get the symbolizer opacity.\n     * @return {number} Opacity.\n     * @api\n     */\n    ImageStyle.prototype.getOpacity = function () {\n        return this.opacity_;\n    };\n    /**\n     * Determine whether the symbolizer rotates with the map.\n     * @return {boolean} Rotate with map.\n     * @api\n     */\n    ImageStyle.prototype.getRotateWithView = function () {\n        return this.rotateWithView_;\n    };\n    /**\n     * Get the symoblizer rotation.\n     * @return {number} Rotation.\n     * @api\n     */\n    ImageStyle.prototype.getRotation = function () {\n        return this.rotation_;\n    };\n    /**\n     * Get the symbolizer scale.\n     * @return {number|import(\"../size.js\").Size} Scale.\n     * @api\n     */\n    ImageStyle.prototype.getScale = function () {\n        return this.scale_;\n    };\n    /**\n     * Get the symbolizer scale array.\n     * @return {import(\"../size.js\").Size} Scale array.\n     */\n    ImageStyle.prototype.getScaleArray = function () {\n        return this.scaleArray_;\n    };\n    /**\n     * Get the displacement of the shape\n     * @return {Array<number>} Shape's center displacement\n     * @api\n     */\n    ImageStyle.prototype.getDisplacement = function () {\n        return this.displacement_;\n    };\n    /**\n     * Get the anchor point in pixels. The anchor determines the center point for the\n     * symbolizer.\n     * @abstract\n     * @return {Array<number>} Anchor.\n     */\n    ImageStyle.prototype.getAnchor = function () {\n        return abstract();\n    };\n    /**\n     * Get the image element for the symbolizer.\n     * @abstract\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement} Image element.\n     */\n    ImageStyle.prototype.getImage = function (pixelRatio) {\n        return abstract();\n    };\n    /**\n     * @abstract\n     * @return {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement} Image element.\n     */\n    ImageStyle.prototype.getHitDetectionImage = function () {\n        return abstract();\n    };\n    /**\n     * Get the image pixel ratio.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Pixel ratio.\n     */\n    ImageStyle.prototype.getPixelRatio = function (pixelRatio) {\n        return 1;\n    };\n    /**\n     * @abstract\n     * @return {import(\"../ImageState.js\").default} Image state.\n     */\n    ImageStyle.prototype.getImageState = function () {\n        return abstract();\n    };\n    /**\n     * @abstract\n     * @return {import(\"../size.js\").Size} Image size.\n     */\n    ImageStyle.prototype.getImageSize = function () {\n        return abstract();\n    };\n    /**\n     * Get the origin of the symbolizer.\n     * @abstract\n     * @return {Array<number>} Origin.\n     */\n    ImageStyle.prototype.getOrigin = function () {\n        return abstract();\n    };\n    /**\n     * Get the size of the symbolizer (in pixels).\n     * @abstract\n     * @return {import(\"../size.js\").Size} Size.\n     */\n    ImageStyle.prototype.getSize = function () {\n        return abstract();\n    };\n    /**\n     * Set the displacement.\n     *\n     * @param {Array<number>} displacement Displacement.\n     * @api\n     */\n    ImageStyle.prototype.setDisplacement = function (displacement) {\n        this.displacement_ = displacement;\n    };\n    /**\n     * Set the opacity.\n     *\n     * @param {number} opacity Opacity.\n     * @api\n     */\n    ImageStyle.prototype.setOpacity = function (opacity) {\n        this.opacity_ = opacity;\n    };\n    /**\n     * Set whether to rotate the style with the view.\n     *\n     * @param {boolean} rotateWithView Rotate with map.\n     * @api\n     */\n    ImageStyle.prototype.setRotateWithView = function (rotateWithView) {\n        this.rotateWithView_ = rotateWithView;\n    };\n    /**\n     * Set the rotation.\n     *\n     * @param {number} rotation Rotation.\n     * @api\n     */\n    ImageStyle.prototype.setRotation = function (rotation) {\n        this.rotation_ = rotation;\n    };\n    /**\n     * Set the scale.\n     *\n     * @param {number|import(\"../size.js\").Size} scale Scale.\n     * @api\n     */\n    ImageStyle.prototype.setScale = function (scale) {\n        this.scale_ = scale;\n        this.scaleArray_ = toSize(scale);\n    };\n    /**\n     * @abstract\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    ImageStyle.prototype.listenImageChange = function (listener) {\n        abstract();\n    };\n    /**\n     * Load not yet loaded URI.\n     * @abstract\n     */\n    ImageStyle.prototype.load = function () {\n        abstract();\n    };\n    /**\n     * @abstract\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    ImageStyle.prototype.unlistenImageChange = function (listener) {\n        abstract();\n    };\n    return ImageStyle;\n}());\nexport default ImageStyle;\n//# sourceMappingURL=Image.js.map","/**\n * @module ol/color\n */\nimport { assert } from './asserts.js';\nimport { clamp } from './math.js';\n/**\n * A color represented as a short array [red, green, blue, alpha].\n * red, green, and blue should be integers in the range 0..255 inclusive.\n * alpha should be a float in the range 0..1 inclusive. If no alpha value is\n * given then `1` will be used.\n * @typedef {Array<number>} Color\n * @api\n */\n/**\n * This RegExp matches # followed by 3, 4, 6, or 8 hex digits.\n * @const\n * @type {RegExp}\n * @private\n */\nvar HEX_COLOR_RE_ = /^#([a-f0-9]{3}|[a-f0-9]{4}(?:[a-f0-9]{2}){0,2})$/i;\n/**\n * Regular expression for matching potential named color style strings.\n * @const\n * @type {RegExp}\n * @private\n */\nvar NAMED_COLOR_RE_ = /^([a-z]*)$|^hsla?\\(.*\\)$/i;\n/**\n * Return the color as an rgba string.\n * @param {Color|string} color Color.\n * @return {string} Rgba string.\n * @api\n */\nexport function asString(color) {\n    if (typeof color === 'string') {\n        return color;\n    }\n    else {\n        return toString(color);\n    }\n}\n/**\n * Return named color as an rgba string.\n * @param {string} color Named color.\n * @return {string} Rgb string.\n */\nfunction fromNamed(color) {\n    var el = document.createElement('div');\n    el.style.color = color;\n    if (el.style.color !== '') {\n        document.body.appendChild(el);\n        var rgb = getComputedStyle(el).color;\n        document.body.removeChild(el);\n        return rgb;\n    }\n    else {\n        return '';\n    }\n}\n/**\n * @param {string} s String.\n * @return {Color} Color.\n */\nexport var fromString = (function () {\n    // We maintain a small cache of parsed strings.  To provide cheap LRU-like\n    // semantics, whenever the cache grows too large we simply delete an\n    // arbitrary 25% of the entries.\n    /**\n     * @const\n     * @type {number}\n     */\n    var MAX_CACHE_SIZE = 1024;\n    /**\n     * @type {Object<string, Color>}\n     */\n    var cache = {};\n    /**\n     * @type {number}\n     */\n    var cacheSize = 0;\n    return (\n    /**\n     * @param {string} s String.\n     * @return {Color} Color.\n     */\n    function (s) {\n        var color;\n        if (cache.hasOwnProperty(s)) {\n            color = cache[s];\n        }\n        else {\n            if (cacheSize >= MAX_CACHE_SIZE) {\n                var i = 0;\n                for (var key in cache) {\n                    if ((i++ & 3) === 0) {\n                        delete cache[key];\n                        --cacheSize;\n                    }\n                }\n            }\n            color = fromStringInternal_(s);\n            cache[s] = color;\n            ++cacheSize;\n        }\n        return color;\n    });\n})();\n/**\n * Return the color as an array. This function maintains a cache of calculated\n * arrays which means the result should not be modified.\n * @param {Color|string} color Color.\n * @return {Color} Color.\n * @api\n */\nexport function asArray(color) {\n    if (Array.isArray(color)) {\n        return color;\n    }\n    else {\n        return fromString(color);\n    }\n}\n/**\n * @param {string} s String.\n * @private\n * @return {Color} Color.\n */\nfunction fromStringInternal_(s) {\n    var r, g, b, a, color;\n    if (NAMED_COLOR_RE_.exec(s)) {\n        s = fromNamed(s);\n    }\n    if (HEX_COLOR_RE_.exec(s)) {\n        // hex\n        var n = s.length - 1; // number of hex digits\n        var d = // number of digits per channel\n         void 0; // number of digits per channel\n        if (n <= 4) {\n            d = 1;\n        }\n        else {\n            d = 2;\n        }\n        var hasAlpha = n === 4 || n === 8;\n        r = parseInt(s.substr(1 + 0 * d, d), 16);\n        g = parseInt(s.substr(1 + 1 * d, d), 16);\n        b = parseInt(s.substr(1 + 2 * d, d), 16);\n        if (hasAlpha) {\n            a = parseInt(s.substr(1 + 3 * d, d), 16);\n        }\n        else {\n            a = 255;\n        }\n        if (d == 1) {\n            r = (r << 4) + r;\n            g = (g << 4) + g;\n            b = (b << 4) + b;\n            if (hasAlpha) {\n                a = (a << 4) + a;\n            }\n        }\n        color = [r, g, b, a / 255];\n    }\n    else if (s.indexOf('rgba(') == 0) {\n        // rgba()\n        color = s.slice(5, -1).split(',').map(Number);\n        normalize(color);\n    }\n    else if (s.indexOf('rgb(') == 0) {\n        // rgb()\n        color = s.slice(4, -1).split(',').map(Number);\n        color.push(1);\n        normalize(color);\n    }\n    else {\n        assert(false, 14); // Invalid color\n    }\n    return color;\n}\n/**\n * TODO this function is only used in the test, we probably shouldn't export it\n * @param {Color} color Color.\n * @return {Color} Clamped color.\n */\nexport function normalize(color) {\n    color[0] = clamp((color[0] + 0.5) | 0, 0, 255);\n    color[1] = clamp((color[1] + 0.5) | 0, 0, 255);\n    color[2] = clamp((color[2] + 0.5) | 0, 0, 255);\n    color[3] = clamp(color[3], 0, 1);\n    return color;\n}\n/**\n * @param {Color} color Color.\n * @return {string} String.\n */\nexport function toString(color) {\n    var r = color[0];\n    if (r != (r | 0)) {\n        r = (r + 0.5) | 0;\n    }\n    var g = color[1];\n    if (g != (g | 0)) {\n        g = (g + 0.5) | 0;\n    }\n    var b = color[2];\n    if (b != (b | 0)) {\n        b = (b + 0.5) | 0;\n    }\n    var a = color[3] === undefined ? 1 : Math.round(color[3] * 100) / 100;\n    return 'rgba(' + r + ',' + g + ',' + b + ',' + a + ')';\n}\n/**\n * @param {string} s String.\n * @return {boolean} Whether the string is actually a valid color\n */\nexport function isStringColor(s) {\n    if (NAMED_COLOR_RE_.test(s)) {\n        s = fromNamed(s);\n    }\n    return (HEX_COLOR_RE_.test(s) || s.indexOf('rgba(') === 0 || s.indexOf('rgb(') === 0);\n}\n//# sourceMappingURL=color.js.map","/**\n * @module ol/colorlike\n */\nimport { toString } from './color.js';\n/**\n * A type accepted by CanvasRenderingContext2D.fillStyle\n * or CanvasRenderingContext2D.strokeStyle.\n * Represents a color, pattern, or gradient. The origin for patterns and\n * gradients as fill style is an increment of 512 css pixels from map coordinate\n * `[0, 0]`. For seamless repeat patterns, width and height of the pattern image\n * must be a factor of two (2, 4, 8, ..., 512).\n *\n * @typedef {string|CanvasPattern|CanvasGradient} ColorLike\n * @api\n */\n/**\n * @param {import(\"./color.js\").Color|ColorLike} color Color.\n * @return {ColorLike} The color as an {@link ol/colorlike~ColorLike}.\n * @api\n */\nexport function asColorLike(color) {\n    if (Array.isArray(color)) {\n        return toString(color);\n    }\n    else {\n        return color;\n    }\n}\n//# sourceMappingURL=colorlike.js.map","import { WORKER_OFFSCREEN_CANVAS } from './has.js';\n/**\n * @module ol/dom\n */\n//FIXME Move this function to the canvas module\n/**\n * Create an html canvas element and returns its 2d context.\n * @param {number} [opt_width] Canvas width.\n * @param {number} [opt_height] Canvas height.\n * @param {Array<HTMLCanvasElement>} [opt_canvasPool] Canvas pool to take existing canvas from.\n * @param {CanvasRenderingContext2DSettings} [opt_Context2DSettings] CanvasRenderingContext2DSettings\n * @return {CanvasRenderingContext2D} The context.\n */\nexport function createCanvasContext2D(opt_width, opt_height, opt_canvasPool, opt_Context2DSettings) {\n    /** @type {HTMLCanvasElement|OffscreenCanvas} */\n    var canvas;\n    if (opt_canvasPool && opt_canvasPool.length) {\n        canvas = opt_canvasPool.shift();\n    }\n    else if (WORKER_OFFSCREEN_CANVAS) {\n        canvas = new OffscreenCanvas(opt_width || 300, opt_height || 300);\n    }\n    else {\n        canvas = document.createElement('canvas');\n    }\n    if (opt_width) {\n        canvas.width = opt_width;\n    }\n    if (opt_height) {\n        canvas.height = opt_height;\n    }\n    //FIXME Allow OffscreenCanvasRenderingContext2D as return type\n    return /** @type {CanvasRenderingContext2D} */ (canvas.getContext('2d', opt_Context2DSettings));\n}\n/**\n * Get the current computed width for the given element including margin,\n * padding and border.\n * Equivalent to jQuery's `$(el).outerWidth(true)`.\n * @param {!HTMLElement} element Element.\n * @return {number} The width.\n */\nexport function outerWidth(element) {\n    var width = element.offsetWidth;\n    var style = getComputedStyle(element);\n    width += parseInt(style.marginLeft, 10) + parseInt(style.marginRight, 10);\n    return width;\n}\n/**\n * Get the current computed height for the given element including margin,\n * padding and border.\n * Equivalent to jQuery's `$(el).outerHeight(true)`.\n * @param {!HTMLElement} element Element.\n * @return {number} The height.\n */\nexport function outerHeight(element) {\n    var height = element.offsetHeight;\n    var style = getComputedStyle(element);\n    height += parseInt(style.marginTop, 10) + parseInt(style.marginBottom, 10);\n    return height;\n}\n/**\n * @param {Node} newNode Node to replace old node\n * @param {Node} oldNode The node to be replaced\n */\nexport function replaceNode(newNode, oldNode) {\n    var parent = oldNode.parentNode;\n    if (parent) {\n        parent.replaceChild(newNode, oldNode);\n    }\n}\n/**\n * @param {Node} node The node to remove.\n * @return {Node} The node that was removed or null.\n */\nexport function removeNode(node) {\n    return node && node.parentNode ? node.parentNode.removeChild(node) : null;\n}\n/**\n * @param {Node} node The node to remove the children from.\n */\nexport function removeChildren(node) {\n    while (node.lastChild) {\n        node.removeChild(node.lastChild);\n    }\n}\n/**\n * Transform the children of a parent node so they match the\n * provided list of children.  This function aims to efficiently\n * remove, add, and reorder child nodes while maintaining a simple\n * implementation (it is not guaranteed to minimize DOM operations).\n * @param {Node} node The parent node whose children need reworking.\n * @param {Array<Node>} children The desired children.\n */\nexport function replaceChildren(node, children) {\n    var oldChildren = node.childNodes;\n    for (var i = 0; true; ++i) {\n        var oldChild = oldChildren[i];\n        var newChild = children[i];\n        // check if our work is done\n        if (!oldChild && !newChild) {\n            break;\n        }\n        // check if children match\n        if (oldChild === newChild) {\n            continue;\n        }\n        // check if a new child needs to be added\n        if (!oldChild) {\n            node.appendChild(newChild);\n            continue;\n        }\n        // check if an old child needs to be removed\n        if (!newChild) {\n            node.removeChild(oldChild);\n            --i;\n            continue;\n        }\n        // reorder\n        node.insertBefore(newChild, oldChild);\n    }\n}\n//# sourceMappingURL=dom.js.map","/**\n * @module ol/css\n */\n/**\n * @typedef {Object} FontParameters\n * @property {string} style Style.\n * @property {string} variant Variant.\n * @property {string} weight Weight.\n * @property {string} size Size.\n * @property {string} lineHeight LineHeight.\n * @property {string} family Family.\n * @property {Array<string>} families Families.\n */\n/**\n * The CSS class for hidden feature.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_HIDDEN = 'ol-hidden';\n/**\n * The CSS class that we'll give the DOM elements to have them selectable.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_SELECTABLE = 'ol-selectable';\n/**\n * The CSS class that we'll give the DOM elements to have them unselectable.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_UNSELECTABLE = 'ol-unselectable';\n/**\n * The CSS class for unsupported feature.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_UNSUPPORTED = 'ol-unsupported';\n/**\n * The CSS class for controls.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_CONTROL = 'ol-control';\n/**\n * The CSS class that we'll give the DOM elements that are collapsed, i.e.\n * to those elements which usually can be expanded.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_COLLAPSED = 'ol-collapsed';\n/**\n * From https://stackoverflow.com/questions/10135697/regex-to-parse-any-css-font\n * @type {RegExp}\n */\nvar fontRegEx = new RegExp([\n    '^\\\\s*(?=(?:(?:[-a-z]+\\\\s*){0,2}(italic|oblique))?)',\n    '(?=(?:(?:[-a-z]+\\\\s*){0,2}(small-caps))?)',\n    '(?=(?:(?:[-a-z]+\\\\s*){0,2}(bold(?:er)?|lighter|[1-9]00 ))?)',\n    '(?:(?:normal|\\\\1|\\\\2|\\\\3)\\\\s*){0,3}((?:xx?-)?',\n    '(?:small|large)|medium|smaller|larger|[\\\\.\\\\d]+(?:\\\\%|in|[cem]m|ex|p[ctx]))',\n    '(?:\\\\s*\\\\/\\\\s*(normal|[\\\\.\\\\d]+(?:\\\\%|in|[cem]m|ex|p[ctx])?))',\n    '?\\\\s*([-,\\\\\"\\\\\\'\\\\sa-z]+?)\\\\s*$',\n].join(''), 'i');\nvar fontRegExMatchIndex = [\n    'style',\n    'variant',\n    'weight',\n    'size',\n    'lineHeight',\n    'family',\n];\n/**\n * Get the list of font families from a font spec.  Note that this doesn't work\n * for font families that have commas in them.\n * @param {string} fontSpec The CSS font property.\n * @return {FontParameters} The font parameters (or null if the input spec is invalid).\n */\nexport var getFontParameters = function (fontSpec) {\n    var match = fontSpec.match(fontRegEx);\n    if (!match) {\n        return null;\n    }\n    var style = /** @type {FontParameters} */ ({\n        lineHeight: 'normal',\n        size: '1.2em',\n        style: 'normal',\n        weight: 'normal',\n        variant: 'normal',\n    });\n    for (var i = 0, ii = fontRegExMatchIndex.length; i < ii; ++i) {\n        var value = match[i + 1];\n        if (value !== undefined) {\n            style[fontRegExMatchIndex[i]] = value;\n        }\n    }\n    style.families = style.family.split(/,\\s?/);\n    return style;\n};\n/**\n * @param {number} opacity Opacity (0..1).\n * @return {string} CSS opacity.\n */\nexport function cssOpacity(opacity) {\n    return opacity === 1 ? '' : String(Math.round(opacity * 100) / 100);\n}\n//# sourceMappingURL=css.js.map","/**\n * @module ol/render/canvas\n */\nimport BaseObject from '../Object.js';\nimport EventTarget from '../events/Target.js';\nimport { WORKER_OFFSCREEN_CANVAS } from '../has.js';\nimport { clear } from '../obj.js';\nimport { createCanvasContext2D } from '../dom.js';\nimport { getFontParameters } from '../css.js';\n/**\n * @typedef {Object} FillState\n * @property {import(\"../colorlike.js\").ColorLike} fillStyle FillStyle.\n */\n/**\n * @typedef Label\n * @property {number} width Width.\n * @property {number} height Height.\n * @property {Array<string|number>} contextInstructions ContextInstructions.\n */\n/**\n * @typedef {Object} FillStrokeState\n * @property {import(\"../colorlike.js\").ColorLike} [currentFillStyle] Current FillStyle.\n * @property {import(\"../colorlike.js\").ColorLike} [currentStrokeStyle] Current StrokeStyle.\n * @property {CanvasLineCap} [currentLineCap] Current LineCap.\n * @property {Array<number>} currentLineDash Current LineDash.\n * @property {number} [currentLineDashOffset] Current LineDashOffset.\n * @property {CanvasLineJoin} [currentLineJoin] Current LineJoin.\n * @property {number} [currentLineWidth] Current LineWidth.\n * @property {number} [currentMiterLimit] Current MiterLimit.\n * @property {number} [lastStroke] Last stroke.\n * @property {import(\"../colorlike.js\").ColorLike} [fillStyle] FillStyle.\n * @property {import(\"../colorlike.js\").ColorLike} [strokeStyle] StrokeStyle.\n * @property {CanvasLineCap} [lineCap] LineCap.\n * @property {Array<number>} lineDash LineDash.\n * @property {number} [lineDashOffset] LineDashOffset.\n * @property {CanvasLineJoin} [lineJoin] LineJoin.\n * @property {number} [lineWidth] LineWidth.\n * @property {number} [miterLimit] MiterLimit.\n */\n/**\n * @typedef {Object} StrokeState\n * @property {CanvasLineCap} lineCap LineCap.\n * @property {Array<number>} lineDash LineDash.\n * @property {number} lineDashOffset LineDashOffset.\n * @property {CanvasLineJoin} lineJoin LineJoin.\n * @property {number} lineWidth LineWidth.\n * @property {number} miterLimit MiterLimit.\n * @property {import(\"../colorlike.js\").ColorLike} strokeStyle StrokeStyle.\n */\n/**\n * @typedef {Object} TextState\n * @property {string} font Font.\n * @property {string} [textAlign] TextAlign.\n * @property {string} textBaseline TextBaseline.\n * @property {string} [placement] Placement.\n * @property {number} [maxAngle] MaxAngle.\n * @property {boolean} [overflow] Overflow.\n * @property {import(\"../style/Fill.js\").default} [backgroundFill] BackgroundFill.\n * @property {import(\"../style/Stroke.js\").default} [backgroundStroke] BackgroundStroke.\n * @property {import(\"../size.js\").Size} [scale] Scale.\n * @property {Array<number>} [padding] Padding.\n */\n/**\n * @typedef {Object} SerializableInstructions\n * @property {Array<*>} instructions The rendering instructions.\n * @property {Array<*>} hitDetectionInstructions The rendering hit detection instructions.\n * @property {Array<number>} coordinates The array of all coordinates.\n * @property {!Object<string, TextState>} [textStates] The text states (decluttering).\n * @property {!Object<string, FillState>} [fillStates] The fill states (decluttering).\n * @property {!Object<string, StrokeState>} [strokeStates] The stroke states (decluttering).\n */\n/**\n * @typedef {Object<number, import(\"./canvas/Executor.js\").ReplayImageOrLabelArgs>} DeclutterImageWithText\n */\n/**\n * @const\n * @type {string}\n */\nexport var defaultFont = '10px sans-serif';\n/**\n * @const\n * @type {import(\"../colorlike.js\").ColorLike}\n */\nexport var defaultFillStyle = '#000';\n/**\n * @const\n * @type {CanvasLineCap}\n */\nexport var defaultLineCap = 'round';\n/**\n * @const\n * @type {Array<number>}\n */\nexport var defaultLineDash = [];\n/**\n * @const\n * @type {number}\n */\nexport var defaultLineDashOffset = 0;\n/**\n * @const\n * @type {CanvasLineJoin}\n */\nexport var defaultLineJoin = 'round';\n/**\n * @const\n * @type {number}\n */\nexport var defaultMiterLimit = 10;\n/**\n * @const\n * @type {import(\"../colorlike.js\").ColorLike}\n */\nexport var defaultStrokeStyle = '#000';\n/**\n * @const\n * @type {string}\n */\nexport var defaultTextAlign = 'center';\n/**\n * @const\n * @type {string}\n */\nexport var defaultTextBaseline = 'middle';\n/**\n * @const\n * @type {Array<number>}\n */\nexport var defaultPadding = [0, 0, 0, 0];\n/**\n * @const\n * @type {number}\n */\nexport var defaultLineWidth = 1;\n/**\n * @type {BaseObject}\n */\nexport var checkedFonts = new BaseObject();\n/**\n * The label cache for text rendering. To change the default cache size of 2048\n * entries, use {@link module:ol/structs/LRUCache~LRUCache#setSize cache.setSize()}.\n * Deprecated - there is no label cache any more.\n * @type {?}\n * @api\n * @deprecated\n */\nexport var labelCache = new EventTarget();\nlabelCache.setSize = function () {\n    console.warn('labelCache is deprecated.'); //eslint-disable-line\n};\n/**\n * @type {CanvasRenderingContext2D}\n */\nvar measureContext = null;\n/**\n * @type {string}\n */\nvar measureFont;\n/**\n * @type {!Object<string, number>}\n */\nexport var textHeights = {};\n/**\n * Clears the label cache when a font becomes available.\n * @param {string} fontSpec CSS font spec.\n */\nexport var registerFont = (function () {\n    var retries = 100;\n    var size = '32px ';\n    var referenceFonts = ['monospace', 'serif'];\n    var len = referenceFonts.length;\n    var text = 'wmytzilWMYTZIL@#/&?$%10\\uF013';\n    var interval, referenceWidth;\n    /**\n     * @param {string} fontStyle Css font-style\n     * @param {string} fontWeight Css font-weight\n     * @param {*} fontFamily Css font-family\n     * @return {boolean} Font with style and weight is available\n     */\n    function isAvailable(fontStyle, fontWeight, fontFamily) {\n        var available = true;\n        for (var i = 0; i < len; ++i) {\n            var referenceFont = referenceFonts[i];\n            referenceWidth = measureTextWidth(fontStyle + ' ' + fontWeight + ' ' + size + referenceFont, text);\n            if (fontFamily != referenceFont) {\n                var width = measureTextWidth(fontStyle +\n                    ' ' +\n                    fontWeight +\n                    ' ' +\n                    size +\n                    fontFamily +\n                    ',' +\n                    referenceFont, text);\n                // If width and referenceWidth are the same, then the fallback was used\n                // instead of the font we wanted, so the font is not available.\n                available = available && width != referenceWidth;\n            }\n        }\n        if (available) {\n            return true;\n        }\n        return false;\n    }\n    function check() {\n        var done = true;\n        var fonts = checkedFonts.getKeys();\n        for (var i = 0, ii = fonts.length; i < ii; ++i) {\n            var font = fonts[i];\n            if (checkedFonts.get(font) < retries) {\n                if (isAvailable.apply(this, font.split('\\n'))) {\n                    clear(textHeights);\n                    // Make sure that loaded fonts are picked up by Safari\n                    measureContext = null;\n                    measureFont = undefined;\n                    checkedFonts.set(font, retries);\n                }\n                else {\n                    checkedFonts.set(font, checkedFonts.get(font) + 1, true);\n                    done = false;\n                }\n            }\n        }\n        if (done) {\n            clearInterval(interval);\n            interval = undefined;\n        }\n    }\n    return function (fontSpec) {\n        var font = getFontParameters(fontSpec);\n        if (!font) {\n            return;\n        }\n        var families = font.families;\n        for (var i = 0, ii = families.length; i < ii; ++i) {\n            var family = families[i];\n            var key = font.style + '\\n' + font.weight + '\\n' + family;\n            if (checkedFonts.get(key) === undefined) {\n                checkedFonts.set(key, retries, true);\n                if (!isAvailable(font.style, font.weight, family)) {\n                    checkedFonts.set(key, 0, true);\n                    if (interval === undefined) {\n                        interval = setInterval(check, 32);\n                    }\n                }\n            }\n        }\n    };\n})();\n/**\n * @param {string} font Font to use for measuring.\n * @return {import(\"../size.js\").Size} Measurement.\n */\nexport var measureTextHeight = (function () {\n    /**\n     * @type {HTMLDivElement}\n     */\n    var measureElement;\n    return function (fontSpec) {\n        var height = textHeights[fontSpec];\n        if (height == undefined) {\n            if (WORKER_OFFSCREEN_CANVAS) {\n                var font = getFontParameters(fontSpec);\n                var metrics = measureText(fontSpec, 'Žg');\n                var lineHeight = isNaN(Number(font.lineHeight))\n                    ? 1.2\n                    : Number(font.lineHeight);\n                height =\n                    lineHeight *\n                        (metrics.actualBoundingBoxAscent + metrics.actualBoundingBoxDescent);\n            }\n            else {\n                if (!measureElement) {\n                    measureElement = document.createElement('div');\n                    measureElement.innerHTML = 'M';\n                    measureElement.style.minHeight = '0';\n                    measureElement.style.maxHeight = 'none';\n                    measureElement.style.height = 'auto';\n                    measureElement.style.padding = '0';\n                    measureElement.style.border = 'none';\n                    measureElement.style.position = 'absolute';\n                    measureElement.style.display = 'block';\n                    measureElement.style.left = '-99999px';\n                }\n                measureElement.style.font = fontSpec;\n                document.body.appendChild(measureElement);\n                height = measureElement.offsetHeight;\n                document.body.removeChild(measureElement);\n            }\n            textHeights[fontSpec] = height;\n        }\n        return height;\n    };\n})();\n/**\n * @param {string} font Font.\n * @param {string} text Text.\n * @return {TextMetrics} Text metrics.\n */\nfunction measureText(font, text) {\n    if (!measureContext) {\n        measureContext = createCanvasContext2D(1, 1);\n    }\n    if (font != measureFont) {\n        measureContext.font = font;\n        measureFont = measureContext.font;\n    }\n    return measureContext.measureText(text);\n}\n/**\n * @param {string} font Font.\n * @param {string} text Text.\n * @return {number} Width.\n */\nexport function measureTextWidth(font, text) {\n    return measureText(font, text).width;\n}\n/**\n * Measure text width using a cache.\n * @param {string} font The font.\n * @param {string} text The text to measure.\n * @param {Object<string, number>} cache A lookup of cached widths by text.\n * @return {number} The text width.\n */\nexport function measureAndCacheTextWidth(font, text, cache) {\n    if (text in cache) {\n        return cache[text];\n    }\n    var width = measureTextWidth(font, text);\n    cache[text] = width;\n    return width;\n}\n/**\n * @param {string} font Font to use for measuring.\n * @param {Array<string>} lines Lines to measure.\n * @param {Array<number>} widths Array will be populated with the widths of\n * each line.\n * @return {number} Width of the whole text.\n */\nexport function measureTextWidths(font, lines, widths) {\n    var numLines = lines.length;\n    var width = 0;\n    for (var i = 0; i < numLines; ++i) {\n        var currentWidth = measureTextWidth(font, lines[i]);\n        width = Math.max(width, currentWidth);\n        widths.push(currentWidth);\n    }\n    return width;\n}\n/**\n * @param {CanvasRenderingContext2D} context Context.\n * @param {number} rotation Rotation.\n * @param {number} offsetX X offset.\n * @param {number} offsetY Y offset.\n */\nexport function rotateAtOffset(context, rotation, offsetX, offsetY) {\n    if (rotation !== 0) {\n        context.translate(offsetX, offsetY);\n        context.rotate(rotation);\n        context.translate(-offsetX, -offsetY);\n    }\n}\n/**\n * @param {CanvasRenderingContext2D} context Context.\n * @param {import(\"../transform.js\").Transform|null} transform Transform.\n * @param {number} opacity Opacity.\n * @param {Label|HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} labelOrImage Label.\n * @param {number} originX Origin X.\n * @param {number} originY Origin Y.\n * @param {number} w Width.\n * @param {number} h Height.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {import(\"../size.js\").Size} scale Scale.\n */\nexport function drawImageOrLabel(context, transform, opacity, labelOrImage, originX, originY, w, h, x, y, scale) {\n    context.save();\n    if (opacity !== 1) {\n        context.globalAlpha *= opacity;\n    }\n    if (transform) {\n        context.setTransform.apply(context, transform);\n    }\n    if ( /** @type {*} */(labelOrImage).contextInstructions) {\n        // label\n        context.translate(x, y);\n        context.scale(scale[0], scale[1]);\n        executeLabelInstructions(/** @type {Label} */ (labelOrImage), context);\n    }\n    else if (scale[0] < 0 || scale[1] < 0) {\n        // flipped image\n        context.translate(x, y);\n        context.scale(scale[0], scale[1]);\n        context.drawImage(\n        /** @type {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} */ (labelOrImage), originX, originY, w, h, 0, 0, w, h);\n    }\n    else {\n        // if image not flipped translate and scale can be avoided\n        context.drawImage(\n        /** @type {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} */ (labelOrImage), originX, originY, w, h, x, y, w * scale[0], h * scale[1]);\n    }\n    context.restore();\n}\n/**\n * @param {Label} label Label.\n * @param {CanvasRenderingContext2D} context Context.\n */\nfunction executeLabelInstructions(label, context) {\n    var contextInstructions = label.contextInstructions;\n    for (var i = 0, ii = contextInstructions.length; i < ii; i += 2) {\n        if (Array.isArray(contextInstructions[i + 1])) {\n            context[contextInstructions[i]].apply(context, contextInstructions[i + 1]);\n        }\n        else {\n            context[contextInstructions[i]] = contextInstructions[i + 1];\n        }\n    }\n}\n//# sourceMappingURL=canvas.js.map","/**\n * @module ol/style/RegularShape\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport ImageState from '../ImageState.js';\nimport ImageStyle from './Image.js';\nimport { asArray } from '../color.js';\nimport { asColorLike } from '../colorlike.js';\nimport { createCanvasContext2D } from '../dom.js';\nimport { defaultFillStyle, defaultLineJoin, defaultLineWidth, defaultMiterLimit, defaultStrokeStyle, } from '../render/canvas.js';\n/**\n * Specify radius for regular polygons, or radius1 and radius2 for stars.\n * @typedef {Object} Options\n * @property {import(\"./Fill.js\").default} [fill] Fill style.\n * @property {number} points Number of points for stars and regular polygons. In case of a polygon, the number of points\n * is the number of sides.\n * @property {number} [radius] Radius of a regular polygon.\n * @property {number} [radius1] First radius of a star. Ignored if radius is set.\n * @property {number} [radius2] Second radius of a star.\n * @property {number} [angle=0] Shape's angle in radians. A value of 0 will have one of the shape's point facing up.\n * @property {Array<number>} [displacement=[0,0]] Displacement of the shape\n * @property {import(\"./Stroke.js\").default} [stroke] Stroke style.\n * @property {number} [rotation=0] Rotation in radians (positive rotation clockwise).\n * @property {boolean} [rotateWithView=false] Whether to rotate the shape with the view.\n * @property {number|import(\"../size.js\").Size} [scale=1] Scale. Unless two dimensional scaling is required a better\n * result may be obtained with appropriate settings for `radius`, `radius1` and `radius2`.\n */\n/**\n * @typedef {Object} RenderOptions\n * @property {import(\"../colorlike.js\").ColorLike} [strokeStyle] StrokeStyle.\n * @property {number} strokeWidth StrokeWidth.\n * @property {number} size Size.\n * @property {Array<number>} lineDash LineDash.\n * @property {number} lineDashOffset LineDashOffset.\n * @property {CanvasLineJoin} lineJoin LineJoin.\n * @property {number} miterLimit MiterLimit.\n */\n/**\n * @classdesc\n * Set regular shape style for vector features. The resulting shape will be\n * a regular polygon when `radius` is provided, or a star when `radius1` and\n * `radius2` are provided.\n * @api\n */\nvar RegularShape = /** @class */ (function (_super) {\n    __extends(RegularShape, _super);\n    /**\n     * @param {Options} options Options.\n     */\n    function RegularShape(options) {\n        var _this = this;\n        /**\n         * @type {boolean}\n         */\n        var rotateWithView = options.rotateWithView !== undefined ? options.rotateWithView : false;\n        _this = _super.call(this, {\n            opacity: 1,\n            rotateWithView: rotateWithView,\n            rotation: options.rotation !== undefined ? options.rotation : 0,\n            scale: options.scale !== undefined ? options.scale : 1,\n            displacement: options.displacement !== undefined ? options.displacement : [0, 0],\n        }) || this;\n        /**\n         * @private\n         * @type {Object<number, HTMLCanvasElement>}\n         */\n        _this.canvas_ = undefined;\n        /**\n         * @private\n         * @type {HTMLCanvasElement}\n         */\n        _this.hitDetectionCanvas_ = null;\n        /**\n         * @private\n         * @type {import(\"./Fill.js\").default}\n         */\n        _this.fill_ = options.fill !== undefined ? options.fill : null;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.origin_ = [0, 0];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.points_ = options.points;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.radius_ =\n            options.radius !== undefined ? options.radius : options.radius1;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.radius2_ = options.radius2;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.angle_ = options.angle !== undefined ? options.angle : 0;\n        /**\n         * @private\n         * @type {import(\"./Stroke.js\").default}\n         */\n        _this.stroke_ = options.stroke !== undefined ? options.stroke : null;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        _this.size_ = null;\n        /**\n         * @private\n         * @type {RenderOptions}\n         */\n        _this.renderOptions_ = null;\n        _this.render();\n        return _this;\n    }\n    /**\n     * Clones the style.\n     * @return {RegularShape} The cloned style.\n     * @api\n     */\n    RegularShape.prototype.clone = function () {\n        var scale = this.getScale();\n        var style = new RegularShape({\n            fill: this.getFill() ? this.getFill().clone() : undefined,\n            points: this.getPoints(),\n            radius: this.getRadius(),\n            radius2: this.getRadius2(),\n            angle: this.getAngle(),\n            stroke: this.getStroke() ? this.getStroke().clone() : undefined,\n            rotation: this.getRotation(),\n            rotateWithView: this.getRotateWithView(),\n            scale: Array.isArray(scale) ? scale.slice() : scale,\n            displacement: this.getDisplacement().slice(),\n        });\n        style.setOpacity(this.getOpacity());\n        return style;\n    };\n    /**\n     * Get the anchor point in pixels. The anchor determines the center point for the\n     * symbolizer.\n     * @return {Array<number>} Anchor.\n     * @api\n     */\n    RegularShape.prototype.getAnchor = function () {\n        var size = this.size_;\n        if (!size) {\n            return null;\n        }\n        var displacement = this.getDisplacement();\n        return [size[0] / 2 - displacement[0], size[1] / 2 + displacement[1]];\n    };\n    /**\n     * Get the angle used in generating the shape.\n     * @return {number} Shape's rotation in radians.\n     * @api\n     */\n    RegularShape.prototype.getAngle = function () {\n        return this.angle_;\n    };\n    /**\n     * Get the fill style for the shape.\n     * @return {import(\"./Fill.js\").default} Fill style.\n     * @api\n     */\n    RegularShape.prototype.getFill = function () {\n        return this.fill_;\n    };\n    /**\n     * @return {HTMLCanvasElement} Image element.\n     */\n    RegularShape.prototype.getHitDetectionImage = function () {\n        if (!this.hitDetectionCanvas_) {\n            this.createHitDetectionCanvas_(this.renderOptions_);\n        }\n        return this.hitDetectionCanvas_;\n    };\n    /**\n     * Get the image icon.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {HTMLCanvasElement} Image or Canvas element.\n     * @api\n     */\n    RegularShape.prototype.getImage = function (pixelRatio) {\n        var image = this.canvas_[pixelRatio];\n        if (!image) {\n            var renderOptions = this.renderOptions_;\n            var context = createCanvasContext2D(renderOptions.size * pixelRatio, renderOptions.size * pixelRatio);\n            this.draw_(renderOptions, context, pixelRatio);\n            image = context.canvas;\n            this.canvas_[pixelRatio] = image;\n        }\n        return image;\n    };\n    /**\n     * Get the image pixel ratio.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Pixel ratio.\n     */\n    RegularShape.prototype.getPixelRatio = function (pixelRatio) {\n        return pixelRatio;\n    };\n    /**\n     * @return {import(\"../size.js\").Size} Image size.\n     */\n    RegularShape.prototype.getImageSize = function () {\n        return this.size_;\n    };\n    /**\n     * @return {import(\"../ImageState.js\").default} Image state.\n     */\n    RegularShape.prototype.getImageState = function () {\n        return ImageState.LOADED;\n    };\n    /**\n     * Get the origin of the symbolizer.\n     * @return {Array<number>} Origin.\n     * @api\n     */\n    RegularShape.prototype.getOrigin = function () {\n        return this.origin_;\n    };\n    /**\n     * Get the number of points for generating the shape.\n     * @return {number} Number of points for stars and regular polygons.\n     * @api\n     */\n    RegularShape.prototype.getPoints = function () {\n        return this.points_;\n    };\n    /**\n     * Get the (primary) radius for the shape.\n     * @return {number} Radius.\n     * @api\n     */\n    RegularShape.prototype.getRadius = function () {\n        return this.radius_;\n    };\n    /**\n     * Get the secondary radius for the shape.\n     * @return {number|undefined} Radius2.\n     * @api\n     */\n    RegularShape.prototype.getRadius2 = function () {\n        return this.radius2_;\n    };\n    /**\n     * Get the size of the symbolizer (in pixels).\n     * @return {import(\"../size.js\").Size} Size.\n     * @api\n     */\n    RegularShape.prototype.getSize = function () {\n        return this.size_;\n    };\n    /**\n     * Get the stroke style for the shape.\n     * @return {import(\"./Stroke.js\").default} Stroke style.\n     * @api\n     */\n    RegularShape.prototype.getStroke = function () {\n        return this.stroke_;\n    };\n    /**\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    RegularShape.prototype.listenImageChange = function (listener) { };\n    /**\n     * Load not yet loaded URI.\n     */\n    RegularShape.prototype.load = function () { };\n    /**\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    RegularShape.prototype.unlistenImageChange = function (listener) { };\n    /**\n     * Calculate additional canvas size needed for the miter.\n     * @param {string} lineJoin Line join\n     * @param {number} strokeWidth Stroke width\n     * @param {number} miterLimit Miter limit\n     * @return {number} Additional canvas size needed\n     * @private\n     */\n    RegularShape.prototype.calculateLineJoinSize_ = function (lineJoin, strokeWidth, miterLimit) {\n        if (strokeWidth === 0 ||\n            this.points_ === Infinity ||\n            (lineJoin !== 'bevel' && lineJoin !== 'miter')) {\n            return strokeWidth;\n        }\n        // m  | ^\n        // i  | |\\                  .\n        // t >|  #\\\n        // e  | |\\ \\              .\n        // r      \\s\\\n        //      |  \\t\\          .                 .\n        //          \\r\\                      .   .\n        //      |    \\o\\      .          .  . . .\n        //          e \\k\\            .  .    . .\n        //      |      \\e\\  .    .  .       . .\n        //       d      \\ \\  .  .          . .\n        //      | _ _a_ _\\#  .            . .\n        //   r1          / `             . .\n        //      |                       . .\n        //       b     /               . .\n        //      |                     . .\n        //           / r2            . .\n        //      |                        .   .\n        //         /                           .   .\n        //      |α                                   .   .\n        //       /                                         .   .\n        //      ° center\n        var r1 = this.radius_;\n        var r2 = this.radius2_ === undefined ? r1 : this.radius2_;\n        if (r1 < r2) {\n            var tmp = r1;\n            r1 = r2;\n            r2 = tmp;\n        }\n        var points = this.radius2_ === undefined ? this.points_ : this.points_ * 2;\n        var alpha = (2 * Math.PI) / points;\n        var a = r2 * Math.sin(alpha);\n        var b = Math.sqrt(r2 * r2 - a * a);\n        var d = r1 - b;\n        var e = Math.sqrt(a * a + d * d);\n        var miterRatio = e / a;\n        if (lineJoin === 'miter' && miterRatio <= miterLimit) {\n            return miterRatio * strokeWidth;\n        }\n        // Calculate the distnce from center to the stroke corner where\n        // it was cut short because of the miter limit.\n        //              l\n        //        ----+---- <= distance from center to here is maxr\n        //       /####|k ##\\\n        //      /#####^#####\\\n        //     /#### /+\\# s #\\\n        //    /### h/+++\\# t #\\\n        //   /### t/+++++\\# r #\\\n        //  /### a/+++++++\\# o #\\\n        // /### p/++ fill +\\# k #\\\n        ///#### /+++++^+++++\\# e #\\\n        //#####/+++++/+\\+++++\\#####\\\n        var k = strokeWidth / 2 / miterRatio;\n        var l = (strokeWidth / 2) * (d / e);\n        var maxr = Math.sqrt((r1 + k) * (r1 + k) + l * l);\n        var bevelAdd = maxr - r1;\n        if (this.radius2_ === undefined || lineJoin === 'bevel') {\n            return bevelAdd * 2;\n        }\n        // If outer miter is over the miter limit the inner miter may reach through the\n        // center and be longer than the bevel, same calculation as above but swap r1 / r2.\n        var aa = r1 * Math.sin(alpha);\n        var bb = Math.sqrt(r1 * r1 - aa * aa);\n        var dd = r2 - bb;\n        var ee = Math.sqrt(aa * aa + dd * dd);\n        var innerMiterRatio = ee / aa;\n        if (innerMiterRatio <= miterLimit) {\n            var innerLength = (innerMiterRatio * strokeWidth) / 2 - r2 - r1;\n            return 2 * Math.max(bevelAdd, innerLength);\n        }\n        return bevelAdd * 2;\n    };\n    /**\n     * @return {RenderOptions}  The render options\n     * @protected\n     */\n    RegularShape.prototype.createRenderOptions = function () {\n        var lineJoin = defaultLineJoin;\n        var miterLimit = 0;\n        var lineDash = null;\n        var lineDashOffset = 0;\n        var strokeStyle;\n        var strokeWidth = 0;\n        if (this.stroke_) {\n            strokeStyle = this.stroke_.getColor();\n            if (strokeStyle === null) {\n                strokeStyle = defaultStrokeStyle;\n            }\n            strokeStyle = asColorLike(strokeStyle);\n            strokeWidth = this.stroke_.getWidth();\n            if (strokeWidth === undefined) {\n                strokeWidth = defaultLineWidth;\n            }\n            lineDash = this.stroke_.getLineDash();\n            lineDashOffset = this.stroke_.getLineDashOffset();\n            lineJoin = this.stroke_.getLineJoin();\n            if (lineJoin === undefined) {\n                lineJoin = defaultLineJoin;\n            }\n            miterLimit = this.stroke_.getMiterLimit();\n            if (miterLimit === undefined) {\n                miterLimit = defaultMiterLimit;\n            }\n        }\n        var add = this.calculateLineJoinSize_(lineJoin, strokeWidth, miterLimit);\n        var maxRadius = Math.max(this.radius_, this.radius2_ || 0);\n        var size = Math.ceil(2 * maxRadius + add);\n        return {\n            strokeStyle: strokeStyle,\n            strokeWidth: strokeWidth,\n            size: size,\n            lineDash: lineDash,\n            lineDashOffset: lineDashOffset,\n            lineJoin: lineJoin,\n            miterLimit: miterLimit,\n        };\n    };\n    /**\n     * @protected\n     */\n    RegularShape.prototype.render = function () {\n        this.renderOptions_ = this.createRenderOptions();\n        var size = this.renderOptions_.size;\n        this.canvas_ = {};\n        this.size_ = [size, size];\n    };\n    /**\n     * @private\n     * @param {RenderOptions} renderOptions Render options.\n     * @param {CanvasRenderingContext2D} context The rendering context.\n     * @param {number} pixelRatio The pixel ratio.\n     */\n    RegularShape.prototype.draw_ = function (renderOptions, context, pixelRatio) {\n        context.scale(pixelRatio, pixelRatio);\n        // set origin to canvas center\n        context.translate(renderOptions.size / 2, renderOptions.size / 2);\n        this.createPath_(context);\n        if (this.fill_) {\n            var color = this.fill_.getColor();\n            if (color === null) {\n                color = defaultFillStyle;\n            }\n            context.fillStyle = asColorLike(color);\n            context.fill();\n        }\n        if (this.stroke_) {\n            context.strokeStyle = renderOptions.strokeStyle;\n            context.lineWidth = renderOptions.strokeWidth;\n            if (context.setLineDash && renderOptions.lineDash) {\n                context.setLineDash(renderOptions.lineDash);\n                context.lineDashOffset = renderOptions.lineDashOffset;\n            }\n            context.lineJoin = renderOptions.lineJoin;\n            context.miterLimit = renderOptions.miterLimit;\n            context.stroke();\n        }\n    };\n    /**\n     * @private\n     * @param {RenderOptions} renderOptions Render options.\n     */\n    RegularShape.prototype.createHitDetectionCanvas_ = function (renderOptions) {\n        if (this.fill_) {\n            var color = this.fill_.getColor();\n            // determine if fill is transparent (or pattern or gradient)\n            var opacity = 0;\n            if (typeof color === 'string') {\n                color = asArray(color);\n            }\n            if (color === null) {\n                opacity = 1;\n            }\n            else if (Array.isArray(color)) {\n                opacity = color.length === 4 ? color[3] : 1;\n            }\n            if (opacity === 0) {\n                // if a transparent fill style is set, create an extra hit-detection image\n                // with a default fill style\n                var context = createCanvasContext2D(renderOptions.size, renderOptions.size);\n                this.hitDetectionCanvas_ = context.canvas;\n                this.drawHitDetectionCanvas_(renderOptions, context);\n            }\n        }\n        if (!this.hitDetectionCanvas_) {\n            this.hitDetectionCanvas_ = this.getImage(1);\n        }\n    };\n    /**\n     * @private\n     * @param {CanvasRenderingContext2D} context The context to draw in.\n     */\n    RegularShape.prototype.createPath_ = function (context) {\n        var points = this.points_;\n        var radius = this.radius_;\n        if (points === Infinity) {\n            context.arc(0, 0, radius, 0, 2 * Math.PI);\n        }\n        else {\n            var radius2 = this.radius2_ === undefined ? radius : this.radius2_;\n            if (this.radius2_ !== undefined) {\n                points *= 2;\n            }\n            var startAngle = this.angle_ - Math.PI / 2;\n            var step = (2 * Math.PI) / points;\n            for (var i = 0; i < points; i++) {\n                var angle0 = startAngle + i * step;\n                var radiusC = i % 2 === 0 ? radius : radius2;\n                context.lineTo(radiusC * Math.cos(angle0), radiusC * Math.sin(angle0));\n            }\n            context.closePath();\n        }\n    };\n    /**\n     * @private\n     * @param {RenderOptions} renderOptions Render options.\n     * @param {CanvasRenderingContext2D} context The context.\n     */\n    RegularShape.prototype.drawHitDetectionCanvas_ = function (renderOptions, context) {\n        // set origin to canvas center\n        context.translate(renderOptions.size / 2, renderOptions.size / 2);\n        this.createPath_(context);\n        context.fillStyle = defaultFillStyle;\n        context.fill();\n        if (this.stroke_) {\n            context.strokeStyle = renderOptions.strokeStyle;\n            context.lineWidth = renderOptions.strokeWidth;\n            if (renderOptions.lineDash) {\n                context.setLineDash(renderOptions.lineDash);\n                context.lineDashOffset = renderOptions.lineDashOffset;\n            }\n            context.lineJoin = renderOptions.lineJoin;\n            context.miterLimit = renderOptions.miterLimit;\n            context.stroke();\n        }\n    };\n    return RegularShape;\n}(ImageStyle));\nexport default RegularShape;\n//# sourceMappingURL=RegularShape.js.map","/**\n * @module ol/style/Circle\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport RegularShape from './RegularShape.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Fill.js\").default} [fill] Fill style.\n * @property {number} radius Circle radius.\n * @property {import(\"./Stroke.js\").default} [stroke] Stroke style.\n * @property {Array<number>} [displacement=[0,0]] displacement\n * @property {number|import(\"../size.js\").Size} [scale=1] Scale. A two dimensional scale will produce an ellipse.\n * Unless two dimensional scaling is required a better result may be obtained with an appropriate setting for `radius`.\n * @property {number} [rotation=0] Rotation in radians\n * (positive rotation clockwise, meaningful only when used in conjunction with a two dimensional scale).\n * @property {boolean} [rotateWithView=false] Whether to rotate the shape with the view\n * (meaningful only when used in conjunction with a two dimensional scale).\n */\n/**\n * @classdesc\n * Set circle style for vector features.\n * @api\n */\nvar CircleStyle = /** @class */ (function (_super) {\n    __extends(CircleStyle, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function CircleStyle(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            points: Infinity,\n            fill: options.fill,\n            radius: options.radius,\n            stroke: options.stroke,\n            scale: options.scale !== undefined ? options.scale : 1,\n            rotation: options.rotation !== undefined ? options.rotation : 0,\n            rotateWithView: options.rotateWithView !== undefined ? options.rotateWithView : false,\n            displacement: options.displacement !== undefined ? options.displacement : [0, 0],\n        }) || this;\n        return _this;\n    }\n    /**\n     * Clones the style.\n     * @return {CircleStyle} The cloned style.\n     * @api\n     */\n    CircleStyle.prototype.clone = function () {\n        var scale = this.getScale();\n        var style = new CircleStyle({\n            fill: this.getFill() ? this.getFill().clone() : undefined,\n            stroke: this.getStroke() ? this.getStroke().clone() : undefined,\n            radius: this.getRadius(),\n            scale: Array.isArray(scale) ? scale.slice() : scale,\n            rotation: this.getRotation(),\n            rotateWithView: this.getRotateWithView(),\n            displacement: this.getDisplacement().slice(),\n        });\n        style.setOpacity(this.getOpacity());\n        return style;\n    };\n    /**\n     * Set the circle radius.\n     *\n     * @param {number} radius Circle radius.\n     * @api\n     */\n    CircleStyle.prototype.setRadius = function (radius) {\n        this.radius_ = radius;\n        this.render();\n    };\n    return CircleStyle;\n}(RegularShape));\nexport default CircleStyle;\n//# sourceMappingURL=Circle.js.map","/**\n * @module ol/style/Style\n */\nimport CircleStyle from './Circle.js';\nimport Fill from './Fill.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport Stroke from './Stroke.js';\nimport { assert } from '../asserts.js';\n/**\n * A function that takes an {@link module:ol/Feature} and a `{number}`\n * representing the view's resolution. The function should return a\n * {@link module:ol/style/Style~Style} or an array of them. This way e.g. a\n * vector layer can be styled. If the function returns `undefined`, the\n * feature will not be rendered.\n *\n * @typedef {function(import(\"../Feature.js\").FeatureLike, number):(Style|Array<Style>|void)} StyleFunction\n */\n/**\n * A {@link Style}, an array of {@link Style}, or a {@link StyleFunction}.\n * @typedef {Style|Array<Style>|StyleFunction} StyleLike\n */\n/**\n * A function that takes an {@link module:ol/Feature} as argument and returns an\n * {@link module:ol/geom/Geometry} that will be rendered and styled for the feature.\n *\n * @typedef {function(import(\"../Feature.js\").FeatureLike):\n *     (import(\"../geom/Geometry.js\").default|import(\"../render/Feature.js\").default|undefined)} GeometryFunction\n */\n/**\n * Custom renderer function. Takes two arguments:\n *\n * 1. The pixel coordinates of the geometry in GeoJSON notation.\n * 2. The {@link module:ol/render~State} of the layer renderer.\n *\n * @typedef {function((import(\"../coordinate.js\").Coordinate|Array<import(\"../coordinate.js\").Coordinate>|Array<Array<import(\"../coordinate.js\").Coordinate>>),import(\"../render.js\").State): void}\n * RenderFunction\n */\n/**\n * @typedef {Object} Options\n * @property {string|import(\"../geom/Geometry.js\").default|GeometryFunction} [geometry] Feature property or geometry\n * or function returning a geometry to render for this style.\n * @property {import(\"./Fill.js\").default} [fill] Fill style.\n * @property {import(\"./Image.js\").default} [image] Image style.\n * @property {RenderFunction} [renderer] Custom renderer. When configured, `fill`, `stroke` and `image` will be\n * ignored, and the provided function will be called with each render frame for each geometry.\n * @property {RenderFunction} [hitDetectionRenderer] Custom renderer for hit detection. If provided will be used\n * in hit detection rendering.\n * @property {import(\"./Stroke.js\").default} [stroke] Stroke style.\n * @property {import(\"./Text.js\").default} [text] Text style.\n * @property {number} [zIndex] Z index.\n */\n/**\n * @classdesc\n * Container for vector feature rendering styles. Any changes made to the style\n * or its children through `set*()` methods will not take effect until the\n * feature or layer that uses the style is re-rendered.\n *\n * ## Feature styles\n *\n * If no style is defined, the following default style is used:\n * ```js\n *  import {Circle, Fill, Stroke, Style} from 'ol/style';\n *\n *  const fill = new Fill({\n *    color: 'rgba(255,255,255,0.4)',\n *  });\n *  const stroke = new Stroke({\n *    color: '#3399CC',\n *    width: 1.25,\n *  });\n *  const styles = [\n *    new Style({\n *      image: new Circle({\n *        fill: fill,\n *        stroke: stroke,\n *        radius: 5,\n *      }),\n *      fill: fill,\n *      stroke: stroke,\n *    }),\n *  ];\n * ```\n *\n * A separate editing style has the following defaults:\n * ```js\n *  import GeometryType from 'ol/geom/GeometryType';\n *  import {Circle, Fill, Stroke, Style} from 'ol/style';\n *\n *  const styles = {};\n *  const white = [255, 255, 255, 1];\n *  const blue = [0, 153, 255, 1];\n *  const width = 3;\n *  styles[GeometryType.POLYGON] = [\n *    new Style({\n *      fill: new Fill({\n *        color: [255, 255, 255, 0.5],\n *      }),\n *    }),\n *  ];\n *  styles[GeometryType.MULTI_POLYGON] = styles[GeometryType.POLYGON];\n *\n *  styles[GeometryType.LINE_STRING] = [\n *    new Style({\n *      stroke: new Stroke({\n *        color: white,\n *        width: width + 2,\n *      }),\n *    }),\n *    new Style({\n *      stroke: new Stroke({\n *        color: blue,\n *        width: width,\n *      }),\n *    }),\n *  ];\n *  styles[GeometryType.MULTI_LINE_STRING] = styles[GeometryType.LINE_STRING];\n *\n *  styles[GeometryType.CIRCLE] = styles[GeometryType.POLYGON].concat(\n *    styles[GeometryType.LINE_STRING]\n *  );\n *\n *  styles[GeometryType.POINT] = [\n *    new Style({\n *      image: new Circle({\n *        radius: width * 2,\n *        fill: new Fill({\n *          color: blue,\n *        }),\n *        stroke: new Stroke({\n *          color: white,\n *          width: width / 2,\n *        }),\n *      }),\n *      zIndex: Infinity,\n *    }),\n *  ];\n *  styles[GeometryType.MULTI_POINT] = styles[GeometryType.POINT];\n *\n *  styles[GeometryType.GEOMETRY_COLLECTION] = styles[\n *    GeometryType.POLYGON\n *  ].concat(styles[GeometryType.LINE_STRING], styles[GeometryType.POINT]);\n * ```\n *\n * @api\n */\nvar Style = /** @class */ (function () {\n    /**\n     * @param {Options} [opt_options] Style options.\n     */\n    function Style(opt_options) {\n        var options = opt_options || {};\n        /**\n         * @private\n         * @type {string|import(\"../geom/Geometry.js\").default|GeometryFunction}\n         */\n        this.geometry_ = null;\n        /**\n         * @private\n         * @type {!GeometryFunction}\n         */\n        this.geometryFunction_ = defaultGeometryFunction;\n        if (options.geometry !== undefined) {\n            this.setGeometry(options.geometry);\n        }\n        /**\n         * @private\n         * @type {import(\"./Fill.js\").default}\n         */\n        this.fill_ = options.fill !== undefined ? options.fill : null;\n        /**\n         * @private\n         * @type {import(\"./Image.js\").default}\n         */\n        this.image_ = options.image !== undefined ? options.image : null;\n        /**\n         * @private\n         * @type {RenderFunction|null}\n         */\n        this.renderer_ = options.renderer !== undefined ? options.renderer : null;\n        /**\n         * @private\n         * @type {RenderFunction|null}\n         */\n        this.hitDetectionRenderer_ =\n            options.hitDetectionRenderer !== undefined\n                ? options.hitDetectionRenderer\n                : null;\n        /**\n         * @private\n         * @type {import(\"./Stroke.js\").default}\n         */\n        this.stroke_ = options.stroke !== undefined ? options.stroke : null;\n        /**\n         * @private\n         * @type {import(\"./Text.js\").default}\n         */\n        this.text_ = options.text !== undefined ? options.text : null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.zIndex_ = options.zIndex;\n    }\n    /**\n     * Clones the style.\n     * @return {Style} The cloned style.\n     * @api\n     */\n    Style.prototype.clone = function () {\n        var geometry = this.getGeometry();\n        if (geometry && typeof geometry === 'object') {\n            geometry = /** @type {import(\"../geom/Geometry.js\").default} */ (geometry).clone();\n        }\n        return new Style({\n            geometry: geometry,\n            fill: this.getFill() ? this.getFill().clone() : undefined,\n            image: this.getImage() ? this.getImage().clone() : undefined,\n            renderer: this.getRenderer(),\n            stroke: this.getStroke() ? this.getStroke().clone() : undefined,\n            text: this.getText() ? this.getText().clone() : undefined,\n            zIndex: this.getZIndex(),\n        });\n    };\n    /**\n     * Get the custom renderer function that was configured with\n     * {@link #setRenderer} or the `renderer` constructor option.\n     * @return {RenderFunction|null} Custom renderer function.\n     * @api\n     */\n    Style.prototype.getRenderer = function () {\n        return this.renderer_;\n    };\n    /**\n     * Sets a custom renderer function for this style. When set, `fill`, `stroke`\n     * and `image` options of the style will be ignored.\n     * @param {RenderFunction|null} renderer Custom renderer function.\n     * @api\n     */\n    Style.prototype.setRenderer = function (renderer) {\n        this.renderer_ = renderer;\n    };\n    /**\n     * Sets a custom renderer function for this style used\n     * in hit detection.\n     * @param {RenderFunction|null} renderer Custom renderer function.\n     * @api\n     */\n    Style.prototype.setHitDetectionRenderer = function (renderer) {\n        this.hitDetectionRenderer_ = renderer;\n    };\n    /**\n     * Get the custom renderer function that was configured with\n     * {@link #setHitDetectionRenderer} or the `hitDetectionRenderer` constructor option.\n     * @return {RenderFunction|null} Custom renderer function.\n     * @api\n     */\n    Style.prototype.getHitDetectionRenderer = function () {\n        return this.hitDetectionRenderer_;\n    };\n    /**\n     * Get the geometry to be rendered.\n     * @return {string|import(\"../geom/Geometry.js\").default|GeometryFunction}\n     * Feature property or geometry or function that returns the geometry that will\n     * be rendered with this style.\n     * @api\n     */\n    Style.prototype.getGeometry = function () {\n        return this.geometry_;\n    };\n    /**\n     * Get the function used to generate a geometry for rendering.\n     * @return {!GeometryFunction} Function that is called with a feature\n     * and returns the geometry to render instead of the feature's geometry.\n     * @api\n     */\n    Style.prototype.getGeometryFunction = function () {\n        return this.geometryFunction_;\n    };\n    /**\n     * Get the fill style.\n     * @return {import(\"./Fill.js\").default} Fill style.\n     * @api\n     */\n    Style.prototype.getFill = function () {\n        return this.fill_;\n    };\n    /**\n     * Set the fill style.\n     * @param {import(\"./Fill.js\").default} fill Fill style.\n     * @api\n     */\n    Style.prototype.setFill = function (fill) {\n        this.fill_ = fill;\n    };\n    /**\n     * Get the image style.\n     * @return {import(\"./Image.js\").default} Image style.\n     * @api\n     */\n    Style.prototype.getImage = function () {\n        return this.image_;\n    };\n    /**\n     * Set the image style.\n     * @param {import(\"./Image.js\").default} image Image style.\n     * @api\n     */\n    Style.prototype.setImage = function (image) {\n        this.image_ = image;\n    };\n    /**\n     * Get the stroke style.\n     * @return {import(\"./Stroke.js\").default} Stroke style.\n     * @api\n     */\n    Style.prototype.getStroke = function () {\n        return this.stroke_;\n    };\n    /**\n     * Set the stroke style.\n     * @param {import(\"./Stroke.js\").default} stroke Stroke style.\n     * @api\n     */\n    Style.prototype.setStroke = function (stroke) {\n        this.stroke_ = stroke;\n    };\n    /**\n     * Get the text style.\n     * @return {import(\"./Text.js\").default} Text style.\n     * @api\n     */\n    Style.prototype.getText = function () {\n        return this.text_;\n    };\n    /**\n     * Set the text style.\n     * @param {import(\"./Text.js\").default} text Text style.\n     * @api\n     */\n    Style.prototype.setText = function (text) {\n        this.text_ = text;\n    };\n    /**\n     * Get the z-index for the style.\n     * @return {number|undefined} ZIndex.\n     * @api\n     */\n    Style.prototype.getZIndex = function () {\n        return this.zIndex_;\n    };\n    /**\n     * Set a geometry that is rendered instead of the feature's geometry.\n     *\n     * @param {string|import(\"../geom/Geometry.js\").default|GeometryFunction} geometry\n     *     Feature property or geometry or function returning a geometry to render\n     *     for this style.\n     * @api\n     */\n    Style.prototype.setGeometry = function (geometry) {\n        if (typeof geometry === 'function') {\n            this.geometryFunction_ = geometry;\n        }\n        else if (typeof geometry === 'string') {\n            this.geometryFunction_ = function (feature) {\n                return /** @type {import(\"../geom/Geometry.js\").default} */ (feature.get(geometry));\n            };\n        }\n        else if (!geometry) {\n            this.geometryFunction_ = defaultGeometryFunction;\n        }\n        else if (geometry !== undefined) {\n            this.geometryFunction_ = function () {\n                return /** @type {import(\"../geom/Geometry.js\").default} */ (geometry);\n            };\n        }\n        this.geometry_ = geometry;\n    };\n    /**\n     * Set the z-index.\n     *\n     * @param {number|undefined} zIndex ZIndex.\n     * @api\n     */\n    Style.prototype.setZIndex = function (zIndex) {\n        this.zIndex_ = zIndex;\n    };\n    return Style;\n}());\n/**\n * Convert the provided object into a style function.  Functions passed through\n * unchanged.  Arrays of Style or single style objects wrapped in a\n * new style function.\n * @param {StyleFunction|Array<Style>|Style} obj\n *     A style function, a single style, or an array of styles.\n * @return {StyleFunction} A style function.\n */\nexport function toFunction(obj) {\n    var styleFunction;\n    if (typeof obj === 'function') {\n        styleFunction = obj;\n    }\n    else {\n        /**\n         * @type {Array<Style>}\n         */\n        var styles_1;\n        if (Array.isArray(obj)) {\n            styles_1 = obj;\n        }\n        else {\n            assert(typeof ( /** @type {?} */(obj).getZIndex) === 'function', 41); // Expected an `Style` or an array of `Style`\n            var style = /** @type {Style} */ (obj);\n            styles_1 = [style];\n        }\n        styleFunction = function () {\n            return styles_1;\n        };\n    }\n    return styleFunction;\n}\n/**\n * @type {Array<Style>}\n */\nvar defaultStyles = null;\n/**\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {number} resolution Resolution.\n * @return {Array<Style>} Style.\n */\nexport function createDefaultStyle(feature, resolution) {\n    // We don't use an immediately-invoked function\n    // and a closure so we don't get an error at script evaluation time in\n    // browsers that do not support Canvas. (import(\"./Circle.js\").CircleStyle does\n    // canvas.getContext('2d') at construction time, which will cause an.error\n    // in such browsers.)\n    if (!defaultStyles) {\n        var fill = new Fill({\n            color: 'rgba(255,255,255,0.4)',\n        });\n        var stroke = new Stroke({\n            color: '#3399CC',\n            width: 1.25,\n        });\n        defaultStyles = [\n            new Style({\n                image: new CircleStyle({\n                    fill: fill,\n                    stroke: stroke,\n                    radius: 5,\n                }),\n                fill: fill,\n                stroke: stroke,\n            }),\n        ];\n    }\n    return defaultStyles;\n}\n/**\n * Default styles for editing features.\n * @return {Object<import(\"../geom/GeometryType.js\").default, Array<Style>>} Styles\n */\nexport function createEditingStyle() {\n    /** @type {Object<import(\"../geom/GeometryType.js\").default, Array<Style>>} */\n    var styles = {};\n    var white = [255, 255, 255, 1];\n    var blue = [0, 153, 255, 1];\n    var width = 3;\n    styles[GeometryType.POLYGON] = [\n        new Style({\n            fill: new Fill({\n                color: [255, 255, 255, 0.5],\n            }),\n        }),\n    ];\n    styles[GeometryType.MULTI_POLYGON] = styles[GeometryType.POLYGON];\n    styles[GeometryType.LINE_STRING] = [\n        new Style({\n            stroke: new Stroke({\n                color: white,\n                width: width + 2,\n            }),\n        }),\n        new Style({\n            stroke: new Stroke({\n                color: blue,\n                width: width,\n            }),\n        }),\n    ];\n    styles[GeometryType.MULTI_LINE_STRING] = styles[GeometryType.LINE_STRING];\n    styles[GeometryType.CIRCLE] = styles[GeometryType.POLYGON].concat(styles[GeometryType.LINE_STRING]);\n    styles[GeometryType.POINT] = [\n        new Style({\n            image: new CircleStyle({\n                radius: width * 2,\n                fill: new Fill({\n                    color: blue,\n                }),\n                stroke: new Stroke({\n                    color: white,\n                    width: width / 2,\n                }),\n            }),\n            zIndex: Infinity,\n        }),\n    ];\n    styles[GeometryType.MULTI_POINT] = styles[GeometryType.POINT];\n    styles[GeometryType.GEOMETRY_COLLECTION] = styles[GeometryType.POLYGON].concat(styles[GeometryType.LINE_STRING], styles[GeometryType.POINT]);\n    return styles;\n}\n/**\n * Function that is called with a feature and returns its default geometry.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature to get the geometry for.\n * @return {import(\"../geom/Geometry.js\").default|import(\"../render/Feature.js\").default|undefined} Geometry to render.\n */\nfunction defaultGeometryFunction(feature) {\n    return feature.getGeometry();\n}\nexport default Style;\n//# sourceMappingURL=Style.js.map","/**\n * @module ol/style/TextPlacement\n */\n/**\n * Text placement. One of `'point'`, `'line'`. Default is `'point'`. Note that\n * `'line'` requires the underlying geometry to be a {@link module:ol/geom/LineString~LineString},\n * {@link module:ol/geom/Polygon~Polygon}, {@link module:ol/geom/MultiLineString~MultiLineString} or\n * {@link module:ol/geom/MultiPolygon~MultiPolygon}.\n * @enum {string}\n */\nexport default {\n    POINT: 'point',\n    LINE: 'line',\n};\n//# sourceMappingURL=TextPlacement.js.map","/**\n * @module ol/style/Text\n */\nimport Fill from './Fill.js';\nimport TextPlacement from './TextPlacement.js';\nimport { toSize } from '../size.js';\n/**\n * The default fill color to use if no fill was set at construction time; a\n * blackish `#333`.\n *\n * @const {string}\n */\nvar DEFAULT_FILL_COLOR = '#333';\n/**\n * @typedef {Object} Options\n * @property {string} [font] Font style as CSS 'font' value, see:\n * https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/font. Default is '10px sans-serif'\n * @property {number} [maxAngle=Math.PI/4] When `placement` is set to `'line'`, allow a maximum angle between adjacent characters.\n * The expected value is in radians, and the default is 45° (`Math.PI / 4`).\n * @property {number} [offsetX=0] Horizontal text offset in pixels. A positive will shift the text right.\n * @property {number} [offsetY=0] Vertical text offset in pixels. A positive will shift the text down.\n * @property {boolean} [overflow=false] For polygon labels or when `placement` is set to `'line'`, allow text to exceed\n * the width of the polygon at the label position or the length of the path that it follows.\n * @property {import(\"./TextPlacement.js\").default|string} [placement='point'] Text placement.\n * @property {number|import(\"../size.js\").Size} [scale] Scale.\n * @property {boolean} [rotateWithView=false] Whether to rotate the text with the view.\n * @property {number} [rotation=0] Rotation in radians (positive rotation clockwise).\n * @property {string} [text] Text content.\n * @property {string} [textAlign] Text alignment. Possible values: 'left', 'right', 'center', 'end' or 'start'.\n * Default is 'center' for `placement: 'point'`. For `placement: 'line'`, the default is to let the renderer choose a\n * placement where `maxAngle` is not exceeded.\n * @property {string} [textBaseline='middle'] Text base line. Possible values: 'bottom', 'top', 'middle', 'alphabetic',\n * 'hanging', 'ideographic'.\n * @property {import(\"./Fill.js\").default} [fill] Fill style. If none is provided, we'll use a dark fill-style (#333).\n * @property {import(\"./Stroke.js\").default} [stroke] Stroke style.\n * @property {import(\"./Fill.js\").default} [backgroundFill] Fill style for the text background when `placement` is\n * `'point'`. Default is no fill.\n * @property {import(\"./Stroke.js\").default} [backgroundStroke] Stroke style for the text background  when `placement`\n * is `'point'`. Default is no stroke.\n * @property {Array<number>} [padding=[0, 0, 0, 0]] Padding in pixels around the text for decluttering and background. The order of\n * values in the array is `[top, right, bottom, left]`.\n */\n/**\n * @classdesc\n * Set text style for vector features.\n * @api\n */\nvar Text = /** @class */ (function () {\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Text(opt_options) {\n        var options = opt_options || {};\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        this.font_ = options.font;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.rotation_ = options.rotation;\n        /**\n         * @private\n         * @type {boolean|undefined}\n         */\n        this.rotateWithView_ = options.rotateWithView;\n        /**\n         * @private\n         * @type {number|import(\"../size.js\").Size|undefined}\n         */\n        this.scale_ = options.scale;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        this.scaleArray_ = toSize(options.scale !== undefined ? options.scale : 1);\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        this.text_ = options.text;\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        this.textAlign_ = options.textAlign;\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        this.textBaseline_ = options.textBaseline;\n        /**\n         * @private\n         * @type {import(\"./Fill.js\").default}\n         */\n        this.fill_ =\n            options.fill !== undefined\n                ? options.fill\n                : new Fill({ color: DEFAULT_FILL_COLOR });\n        /**\n         * @private\n         * @type {number}\n         */\n        this.maxAngle_ =\n            options.maxAngle !== undefined ? options.maxAngle : Math.PI / 4;\n        /**\n         * @private\n         * @type {import(\"./TextPlacement.js\").default|string}\n         */\n        this.placement_ =\n            options.placement !== undefined ? options.placement : TextPlacement.POINT;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.overflow_ = !!options.overflow;\n        /**\n         * @private\n         * @type {import(\"./Stroke.js\").default}\n         */\n        this.stroke_ = options.stroke !== undefined ? options.stroke : null;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.offsetX_ = options.offsetX !== undefined ? options.offsetX : 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.offsetY_ = options.offsetY !== undefined ? options.offsetY : 0;\n        /**\n         * @private\n         * @type {import(\"./Fill.js\").default}\n         */\n        this.backgroundFill_ = options.backgroundFill\n            ? options.backgroundFill\n            : null;\n        /**\n         * @private\n         * @type {import(\"./Stroke.js\").default}\n         */\n        this.backgroundStroke_ = options.backgroundStroke\n            ? options.backgroundStroke\n            : null;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.padding_ = options.padding === undefined ? null : options.padding;\n    }\n    /**\n     * Clones the style.\n     * @return {Text} The cloned style.\n     * @api\n     */\n    Text.prototype.clone = function () {\n        var scale = this.getScale();\n        return new Text({\n            font: this.getFont(),\n            placement: this.getPlacement(),\n            maxAngle: this.getMaxAngle(),\n            overflow: this.getOverflow(),\n            rotation: this.getRotation(),\n            rotateWithView: this.getRotateWithView(),\n            scale: Array.isArray(scale) ? scale.slice() : scale,\n            text: this.getText(),\n            textAlign: this.getTextAlign(),\n            textBaseline: this.getTextBaseline(),\n            fill: this.getFill() ? this.getFill().clone() : undefined,\n            stroke: this.getStroke() ? this.getStroke().clone() : undefined,\n            offsetX: this.getOffsetX(),\n            offsetY: this.getOffsetY(),\n            backgroundFill: this.getBackgroundFill()\n                ? this.getBackgroundFill().clone()\n                : undefined,\n            backgroundStroke: this.getBackgroundStroke()\n                ? this.getBackgroundStroke().clone()\n                : undefined,\n            padding: this.getPadding(),\n        });\n    };\n    /**\n     * Get the `overflow` configuration.\n     * @return {boolean} Let text overflow the length of the path they follow.\n     * @api\n     */\n    Text.prototype.getOverflow = function () {\n        return this.overflow_;\n    };\n    /**\n     * Get the font name.\n     * @return {string|undefined} Font.\n     * @api\n     */\n    Text.prototype.getFont = function () {\n        return this.font_;\n    };\n    /**\n     * Get the maximum angle between adjacent characters.\n     * @return {number} Angle in radians.\n     * @api\n     */\n    Text.prototype.getMaxAngle = function () {\n        return this.maxAngle_;\n    };\n    /**\n     * Get the label placement.\n     * @return {import(\"./TextPlacement.js\").default|string} Text placement.\n     * @api\n     */\n    Text.prototype.getPlacement = function () {\n        return this.placement_;\n    };\n    /**\n     * Get the x-offset for the text.\n     * @return {number} Horizontal text offset.\n     * @api\n     */\n    Text.prototype.getOffsetX = function () {\n        return this.offsetX_;\n    };\n    /**\n     * Get the y-offset for the text.\n     * @return {number} Vertical text offset.\n     * @api\n     */\n    Text.prototype.getOffsetY = function () {\n        return this.offsetY_;\n    };\n    /**\n     * Get the fill style for the text.\n     * @return {import(\"./Fill.js\").default} Fill style.\n     * @api\n     */\n    Text.prototype.getFill = function () {\n        return this.fill_;\n    };\n    /**\n     * Determine whether the text rotates with the map.\n     * @return {boolean|undefined} Rotate with map.\n     * @api\n     */\n    Text.prototype.getRotateWithView = function () {\n        return this.rotateWithView_;\n    };\n    /**\n     * Get the text rotation.\n     * @return {number|undefined} Rotation.\n     * @api\n     */\n    Text.prototype.getRotation = function () {\n        return this.rotation_;\n    };\n    /**\n     * Get the text scale.\n     * @return {number|import(\"../size.js\").Size|undefined} Scale.\n     * @api\n     */\n    Text.prototype.getScale = function () {\n        return this.scale_;\n    };\n    /**\n     * Get the symbolizer scale array.\n     * @return {import(\"../size.js\").Size} Scale array.\n     */\n    Text.prototype.getScaleArray = function () {\n        return this.scaleArray_;\n    };\n    /**\n     * Get the stroke style for the text.\n     * @return {import(\"./Stroke.js\").default} Stroke style.\n     * @api\n     */\n    Text.prototype.getStroke = function () {\n        return this.stroke_;\n    };\n    /**\n     * Get the text to be rendered.\n     * @return {string|undefined} Text.\n     * @api\n     */\n    Text.prototype.getText = function () {\n        return this.text_;\n    };\n    /**\n     * Get the text alignment.\n     * @return {string|undefined} Text align.\n     * @api\n     */\n    Text.prototype.getTextAlign = function () {\n        return this.textAlign_;\n    };\n    /**\n     * Get the text baseline.\n     * @return {string|undefined} Text baseline.\n     * @api\n     */\n    Text.prototype.getTextBaseline = function () {\n        return this.textBaseline_;\n    };\n    /**\n     * Get the background fill style for the text.\n     * @return {import(\"./Fill.js\").default} Fill style.\n     * @api\n     */\n    Text.prototype.getBackgroundFill = function () {\n        return this.backgroundFill_;\n    };\n    /**\n     * Get the background stroke style for the text.\n     * @return {import(\"./Stroke.js\").default} Stroke style.\n     * @api\n     */\n    Text.prototype.getBackgroundStroke = function () {\n        return this.backgroundStroke_;\n    };\n    /**\n     * Get the padding for the text.\n     * @return {Array<number>} Padding.\n     * @api\n     */\n    Text.prototype.getPadding = function () {\n        return this.padding_;\n    };\n    /**\n     * Set the `overflow` property.\n     *\n     * @param {boolean} overflow Let text overflow the path that it follows.\n     * @api\n     */\n    Text.prototype.setOverflow = function (overflow) {\n        this.overflow_ = overflow;\n    };\n    /**\n     * Set the font.\n     *\n     * @param {string|undefined} font Font.\n     * @api\n     */\n    Text.prototype.setFont = function (font) {\n        this.font_ = font;\n    };\n    /**\n     * Set the maximum angle between adjacent characters.\n     *\n     * @param {number} maxAngle Angle in radians.\n     * @api\n     */\n    Text.prototype.setMaxAngle = function (maxAngle) {\n        this.maxAngle_ = maxAngle;\n    };\n    /**\n     * Set the x offset.\n     *\n     * @param {number} offsetX Horizontal text offset.\n     * @api\n     */\n    Text.prototype.setOffsetX = function (offsetX) {\n        this.offsetX_ = offsetX;\n    };\n    /**\n     * Set the y offset.\n     *\n     * @param {number} offsetY Vertical text offset.\n     * @api\n     */\n    Text.prototype.setOffsetY = function (offsetY) {\n        this.offsetY_ = offsetY;\n    };\n    /**\n     * Set the text placement.\n     *\n     * @param {import(\"./TextPlacement.js\").default|string} placement Placement.\n     * @api\n     */\n    Text.prototype.setPlacement = function (placement) {\n        this.placement_ = placement;\n    };\n    /**\n     * Set whether to rotate the text with the view.\n     *\n     * @param {boolean} rotateWithView Rotate with map.\n     * @api\n     */\n    Text.prototype.setRotateWithView = function (rotateWithView) {\n        this.rotateWithView_ = rotateWithView;\n    };\n    /**\n     * Set the fill.\n     *\n     * @param {import(\"./Fill.js\").default} fill Fill style.\n     * @api\n     */\n    Text.prototype.setFill = function (fill) {\n        this.fill_ = fill;\n    };\n    /**\n     * Set the rotation.\n     *\n     * @param {number|undefined} rotation Rotation.\n     * @api\n     */\n    Text.prototype.setRotation = function (rotation) {\n        this.rotation_ = rotation;\n    };\n    /**\n     * Set the scale.\n     *\n     * @param {number|import(\"../size.js\").Size|undefined} scale Scale.\n     * @api\n     */\n    Text.prototype.setScale = function (scale) {\n        this.scale_ = scale;\n        this.scaleArray_ = toSize(scale !== undefined ? scale : 1);\n    };\n    /**\n     * Set the stroke.\n     *\n     * @param {import(\"./Stroke.js\").default} stroke Stroke style.\n     * @api\n     */\n    Text.prototype.setStroke = function (stroke) {\n        this.stroke_ = stroke;\n    };\n    /**\n     * Set the text.\n     *\n     * @param {string|undefined} text Text.\n     * @api\n     */\n    Text.prototype.setText = function (text) {\n        this.text_ = text;\n    };\n    /**\n     * Set the text alignment.\n     *\n     * @param {string|undefined} textAlign Text align.\n     * @api\n     */\n    Text.prototype.setTextAlign = function (textAlign) {\n        this.textAlign_ = textAlign;\n    };\n    /**\n     * Set the text baseline.\n     *\n     * @param {string|undefined} textBaseline Text baseline.\n     * @api\n     */\n    Text.prototype.setTextBaseline = function (textBaseline) {\n        this.textBaseline_ = textBaseline;\n    };\n    /**\n     * Set the background fill.\n     *\n     * @param {import(\"./Fill.js\").default} fill Fill style.\n     * @api\n     */\n    Text.prototype.setBackgroundFill = function (fill) {\n        this.backgroundFill_ = fill;\n    };\n    /**\n     * Set the background stroke.\n     *\n     * @param {import(\"./Stroke.js\").default} stroke Stroke style.\n     * @api\n     */\n    Text.prototype.setBackgroundStroke = function (stroke) {\n        this.backgroundStroke_ = stroke;\n    };\n    /**\n     * Set the padding (`[top, right, bottom, left]`).\n     *\n     * @param {!Array<number>} padding Padding.\n     * @api\n     */\n    Text.prototype.setPadding = function (padding) {\n        this.padding_ = padding;\n    };\n    return Text;\n}());\nexport default Text;\n//# sourceMappingURL=Text.js.map","/**\n * @module ol/layer/Property\n */\n/**\n * @enum {string}\n */\nexport default {\n    OPACITY: 'opacity',\n    VISIBLE: 'visible',\n    EXTENT: 'extent',\n    Z_INDEX: 'zIndex',\n    MAX_RESOLUTION: 'maxResolution',\n    MIN_RESOLUTION: 'minResolution',\n    MAX_ZOOM: 'maxZoom',\n    MIN_ZOOM: 'minZoom',\n    SOURCE: 'source',\n    MAP: 'map',\n};\n//# sourceMappingURL=Property.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Base\n */\nimport BaseObject from '../Object.js';\nimport LayerProperty from './Property.js';\nimport { abstract } from '../util.js';\nimport { assert } from '../asserts.js';\nimport { assign } from '../obj.js';\nimport { clamp } from '../math.js';\n/**\n * A css color, or a function called with a view resolution returning a css color.\n *\n * @typedef {string|function(number):string} BackgroundColor\n * @api\n */\n/**\n * @typedef {import(\"../ObjectEventType\").Types|'change:extent'|'change:maxResolution'|'change:maxZoom'|\n *    'change:minResolution'|'change:minZoom'|'change:opacity'|'change:visible'|'change:zIndex'} BaseLayerObjectEventTypes\n */\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<BaseLayerObjectEventTypes, import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|BaseLayerObjectEventTypes, Return>} BaseLayerOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {BackgroundColor} [background] Background color for the layer. If not specified, no background\n * will be rendered.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Note that with {@link module:ol/layer/Base} and all its subclasses, any property set in\n * the options is set as a {@link module:ol/Object} property on the layer object, so\n * is observable, and has get/set accessors.\n *\n * @api\n */\nvar BaseLayer = /** @class */ (function (_super) {\n    __extends(BaseLayer, _super);\n    /**\n     * @param {Options} options Layer options.\n     */\n    function BaseLayer(options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {BaseLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {BaseLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {BaseLayerOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @type {BackgroundColor|false}\n         * @private\n         */\n        _this.background_ = options.background;\n        /**\n         * @type {Object<string, *>}\n         */\n        var properties = assign({}, options);\n        if (typeof options.properties === 'object') {\n            delete properties.properties;\n            assign(properties, options.properties);\n        }\n        properties[LayerProperty.OPACITY] =\n            options.opacity !== undefined ? options.opacity : 1;\n        assert(typeof properties[LayerProperty.OPACITY] === 'number', 64); // Layer opacity must be a number\n        properties[LayerProperty.VISIBLE] =\n            options.visible !== undefined ? options.visible : true;\n        properties[LayerProperty.Z_INDEX] = options.zIndex;\n        properties[LayerProperty.MAX_RESOLUTION] =\n            options.maxResolution !== undefined ? options.maxResolution : Infinity;\n        properties[LayerProperty.MIN_RESOLUTION] =\n            options.minResolution !== undefined ? options.minResolution : 0;\n        properties[LayerProperty.MIN_ZOOM] =\n            options.minZoom !== undefined ? options.minZoom : -Infinity;\n        properties[LayerProperty.MAX_ZOOM] =\n            options.maxZoom !== undefined ? options.maxZoom : Infinity;\n        /**\n         * @type {string}\n         * @private\n         */\n        _this.className_ =\n            properties.className !== undefined ? options.className : 'ol-layer';\n        delete properties.className;\n        _this.setProperties(properties);\n        /**\n         * @type {import(\"./Layer.js\").State}\n         * @private\n         */\n        _this.state_ = null;\n        return _this;\n    }\n    /**\n     * Get the background for this layer.\n     * @return {BackgroundColor|false} Layer background.\n     */\n    BaseLayer.prototype.getBackground = function () {\n        return this.background_;\n    };\n    /**\n     * @return {string} CSS class name.\n     */\n    BaseLayer.prototype.getClassName = function () {\n        return this.className_;\n    };\n    /**\n     * This method is not meant to be called by layers or layer renderers because the state\n     * is incorrect if the layer is included in a layer group.\n     *\n     * @param {boolean} [opt_managed] Layer is managed.\n     * @return {import(\"./Layer.js\").State} Layer state.\n     */\n    BaseLayer.prototype.getLayerState = function (opt_managed) {\n        /** @type {import(\"./Layer.js\").State} */\n        var state = this.state_ ||\n            /** @type {?} */ ({\n                layer: this,\n                managed: opt_managed === undefined ? true : opt_managed,\n            });\n        var zIndex = this.getZIndex();\n        state.opacity = clamp(Math.round(this.getOpacity() * 100) / 100, 0, 1);\n        state.sourceState = this.getSourceState();\n        state.visible = this.getVisible();\n        state.extent = this.getExtent();\n        state.zIndex = zIndex === undefined && !state.managed ? Infinity : zIndex;\n        state.maxResolution = this.getMaxResolution();\n        state.minResolution = Math.max(this.getMinResolution(), 0);\n        state.minZoom = this.getMinZoom();\n        state.maxZoom = this.getMaxZoom();\n        this.state_ = state;\n        return state;\n    };\n    /**\n     * @abstract\n     * @param {Array<import(\"./Layer.js\").default>} [opt_array] Array of layers (to be\n     *     modified in place).\n     * @return {Array<import(\"./Layer.js\").default>} Array of layers.\n     */\n    BaseLayer.prototype.getLayersArray = function (opt_array) {\n        return abstract();\n    };\n    /**\n     * @abstract\n     * @param {Array<import(\"./Layer.js\").State>} [opt_states] Optional list of layer\n     *     states (to be modified in place).\n     * @return {Array<import(\"./Layer.js\").State>} List of layer states.\n     */\n    BaseLayer.prototype.getLayerStatesArray = function (opt_states) {\n        return abstract();\n    };\n    /**\n     * Return the {@link module:ol/extent~Extent extent} of the layer or `undefined` if it\n     * will be visible regardless of extent.\n     * @return {import(\"../extent.js\").Extent|undefined} The layer extent.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getExtent = function () {\n        return /** @type {import(\"../extent.js\").Extent|undefined} */ (this.get(LayerProperty.EXTENT));\n    };\n    /**\n     * Return the maximum resolution of the layer.\n     * @return {number} The maximum resolution of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getMaxResolution = function () {\n        return /** @type {number} */ (this.get(LayerProperty.MAX_RESOLUTION));\n    };\n    /**\n     * Return the minimum resolution of the layer.\n     * @return {number} The minimum resolution of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getMinResolution = function () {\n        return /** @type {number} */ (this.get(LayerProperty.MIN_RESOLUTION));\n    };\n    /**\n     * Return the minimum zoom level of the layer.\n     * @return {number} The minimum zoom level of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getMinZoom = function () {\n        return /** @type {number} */ (this.get(LayerProperty.MIN_ZOOM));\n    };\n    /**\n     * Return the maximum zoom level of the layer.\n     * @return {number} The maximum zoom level of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getMaxZoom = function () {\n        return /** @type {number} */ (this.get(LayerProperty.MAX_ZOOM));\n    };\n    /**\n     * Return the opacity of the layer (between 0 and 1).\n     * @return {number} The opacity of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getOpacity = function () {\n        return /** @type {number} */ (this.get(LayerProperty.OPACITY));\n    };\n    /**\n     * @abstract\n     * @return {import(\"../source/State.js\").default} Source state.\n     */\n    BaseLayer.prototype.getSourceState = function () {\n        return abstract();\n    };\n    /**\n     * Return the visibility of the layer (`true` or `false`).\n     * @return {boolean} The visibility of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getVisible = function () {\n        return /** @type {boolean} */ (this.get(LayerProperty.VISIBLE));\n    };\n    /**\n     * Return the Z-index of the layer, which is used to order layers before\n     * rendering. The default Z-index is 0.\n     * @return {number} The Z-index of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getZIndex = function () {\n        return /** @type {number} */ (this.get(LayerProperty.Z_INDEX));\n    };\n    /**\n     * Sets the backgrlound color.\n     * @param {BackgroundColor} [opt_background] Background color.\n     */\n    BaseLayer.prototype.setBackground = function (opt_background) {\n        this.background_ = opt_background;\n        this.changed();\n    };\n    /**\n     * Set the extent at which the layer is visible.  If `undefined`, the layer\n     * will be visible at all extents.\n     * @param {import(\"../extent.js\").Extent|undefined} extent The extent of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setExtent = function (extent) {\n        this.set(LayerProperty.EXTENT, extent);\n    };\n    /**\n     * Set the maximum resolution at which the layer is visible.\n     * @param {number} maxResolution The maximum resolution of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setMaxResolution = function (maxResolution) {\n        this.set(LayerProperty.MAX_RESOLUTION, maxResolution);\n    };\n    /**\n     * Set the minimum resolution at which the layer is visible.\n     * @param {number} minResolution The minimum resolution of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setMinResolution = function (minResolution) {\n        this.set(LayerProperty.MIN_RESOLUTION, minResolution);\n    };\n    /**\n     * Set the maximum zoom (exclusive) at which the layer is visible.\n     * Note that the zoom levels for layer visibility are based on the\n     * view zoom level, which may be different from a tile source zoom level.\n     * @param {number} maxZoom The maximum zoom of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setMaxZoom = function (maxZoom) {\n        this.set(LayerProperty.MAX_ZOOM, maxZoom);\n    };\n    /**\n     * Set the minimum zoom (inclusive) at which the layer is visible.\n     * Note that the zoom levels for layer visibility are based on the\n     * view zoom level, which may be different from a tile source zoom level.\n     * @param {number} minZoom The minimum zoom of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setMinZoom = function (minZoom) {\n        this.set(LayerProperty.MIN_ZOOM, minZoom);\n    };\n    /**\n     * Set the opacity of the layer, allowed values range from 0 to 1.\n     * @param {number} opacity The opacity of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setOpacity = function (opacity) {\n        assert(typeof opacity === 'number', 64); // Layer opacity must be a number\n        this.set(LayerProperty.OPACITY, opacity);\n    };\n    /**\n     * Set the visibility of the layer (`true` or `false`).\n     * @param {boolean} visible The visibility of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setVisible = function (visible) {\n        this.set(LayerProperty.VISIBLE, visible);\n    };\n    /**\n     * Set Z-index of the layer, which is used to order layers before rendering.\n     * The default Z-index is 0.\n     * @param {number} zindex The z-index of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setZIndex = function (zindex) {\n        this.set(LayerProperty.Z_INDEX, zindex);\n    };\n    /**\n     * Clean up.\n     */\n    BaseLayer.prototype.disposeInternal = function () {\n        if (this.state_) {\n            this.state_.layer = null;\n            this.state_ = null;\n        }\n        _super.prototype.disposeInternal.call(this);\n    };\n    return BaseLayer;\n}(BaseObject));\nexport default BaseLayer;\n//# sourceMappingURL=Base.js.map","/**\n * @module ol/source/State\n */\n/**\n * @enum {string}\n * State of the source, one of 'undefined', 'loading', 'ready' or 'error'.\n */\nexport default {\n    UNDEFINED: 'undefined',\n    LOADING: 'loading',\n    READY: 'ready',\n    ERROR: 'error',\n};\n//# sourceMappingURL=State.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Layer\n */\nimport BaseLayer from './Base.js';\nimport EventType from '../events/EventType.js';\nimport LayerProperty from './Property.js';\nimport RenderEventType from '../render/EventType.js';\nimport SourceState from '../source/State.js';\nimport { assert } from '../asserts.js';\nimport { assign } from '../obj.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {function(import(\"../PluggableMap.js\").FrameState):HTMLElement} RenderFunction\n */\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./Base\").BaseLayerObjectEventTypes|\n *     'change:source', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../render/EventType\").LayerRenderEventTypes, import(\"../render/Event\").default, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"./Base\").BaseLayerObjectEventTypes|'change:source'|\n *     import(\"../render/EventType\").LayerRenderEventTypes, Return>} LayerOnSignature\n */\n/**\n * @template {import(\"../source/Source.js\").default} SourceType\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {SourceType} [source] Source for this layer.  If not provided to the constructor,\n * the source can be set by calling {@link module:ol/layer/Layer~Layer#setSource layer.setSource(source)} after\n * construction.\n * @property {import(\"../PluggableMap.js\").default} [map] Map.\n * @property {RenderFunction} [render] Render function. Takes the frame state as input and is expected to return an\n * HTML element. Will overwrite the default rendering for the layer.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @typedef {Object} State\n * @property {import(\"./Layer.js\").default} layer Layer.\n * @property {number} opacity Opacity, the value is rounded to two digits to appear after the decimal point.\n * @property {import(\"../source/State.js\").default} sourceState SourceState.\n * @property {boolean} visible Visible.\n * @property {boolean} managed Managed.\n * @property {import(\"../extent.js\").Extent} [extent] Extent.\n * @property {number} zIndex ZIndex.\n * @property {number} maxResolution Maximum resolution.\n * @property {number} minResolution Minimum resolution.\n * @property {number} minZoom Minimum zoom.\n * @property {number} maxZoom Maximum zoom.\n */\n/**\n * @classdesc\n * Base class from which all layer types are derived. This should only be instantiated\n * in the case where a custom layer is be added to the map with a custom `render` function.\n * Such a function can be specified in the `options` object, and is expected to return an HTML element.\n *\n * A visual representation of raster or vector map data.\n * Layers group together those properties that pertain to how the data is to be\n * displayed, irrespective of the source of that data.\n *\n * Layers are usually added to a map with {@link import(\"../PluggableMap.js\").default#addLayer map.addLayer()}. Components\n * like {@link module:ol/interaction/Draw~Draw} use unmanaged layers\n * internally. These unmanaged layers are associated with the map using\n * {@link module:ol/layer/Layer~Layer#setMap} instead.\n *\n * A generic `change` event is fired when the state of the source changes.\n *\n * Please note that for performance reasons several layers might get rendered to\n * the same HTML element, which will cause {@link import(\"../PluggableMap.js\").default#forEachLayerAtPixel map.forEachLayerAtPixel()} to\n * give false positives. To avoid this, apply different `className` properties to the\n * layers at creation time.\n *\n * @fires import(\"../render/Event.js\").RenderEvent#prerender\n * @fires import(\"../render/Event.js\").RenderEvent#postrender\n *\n * @template {import(\"../source/Source.js\").default} SourceType\n * @template {import(\"../renderer/Layer.js\").default} RendererType\n * @api\n */\nvar Layer = /** @class */ (function (_super) {\n    __extends(Layer, _super);\n    /**\n     * @param {Options<SourceType>} options Layer options.\n     */\n    function Layer(options) {\n        var _this = this;\n        var baseOptions = assign({}, options);\n        delete baseOptions.source;\n        _this = _super.call(this, baseOptions) || this;\n        /***\n         * @type {LayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {LayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {LayerOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {?import(\"../events.js\").EventsKey}\n         */\n        _this.mapPrecomposeKey_ = null;\n        /**\n         * @private\n         * @type {?import(\"../events.js\").EventsKey}\n         */\n        _this.mapRenderKey_ = null;\n        /**\n         * @private\n         * @type {?import(\"../events.js\").EventsKey}\n         */\n        _this.sourceChangeKey_ = null;\n        /**\n         * @private\n         * @type {RendererType}\n         */\n        _this.renderer_ = null;\n        // Overwrite default render method with a custom one\n        if (options.render) {\n            _this.render = options.render;\n        }\n        if (options.map) {\n            _this.setMap(options.map);\n        }\n        _this.addChangeListener(LayerProperty.SOURCE, _this.handleSourcePropertyChange_);\n        var source = options.source\n            ? /** @type {SourceType} */ (options.source)\n            : null;\n        _this.setSource(source);\n        return _this;\n    }\n    /**\n     * @param {Array<import(\"./Layer.js\").default>} [opt_array] Array of layers (to be modified in place).\n     * @return {Array<import(\"./Layer.js\").default>} Array of layers.\n     */\n    Layer.prototype.getLayersArray = function (opt_array) {\n        var array = opt_array ? opt_array : [];\n        array.push(this);\n        return array;\n    };\n    /**\n     * @param {Array<import(\"./Layer.js\").State>} [opt_states] Optional list of layer states (to be modified in place).\n     * @return {Array<import(\"./Layer.js\").State>} List of layer states.\n     */\n    Layer.prototype.getLayerStatesArray = function (opt_states) {\n        var states = opt_states ? opt_states : [];\n        states.push(this.getLayerState());\n        return states;\n    };\n    /**\n     * Get the layer source.\n     * @return {SourceType} The layer source (or `null` if not yet set).\n     * @observable\n     * @api\n     */\n    Layer.prototype.getSource = function () {\n        return /** @type {SourceType} */ (this.get(LayerProperty.SOURCE)) || null;\n    };\n    /**\n     * @return {import(\"../source/State.js\").default} Source state.\n     */\n    Layer.prototype.getSourceState = function () {\n        var source = this.getSource();\n        return !source ? SourceState.UNDEFINED : source.getState();\n    };\n    /**\n     * @private\n     */\n    Layer.prototype.handleSourceChange_ = function () {\n        this.changed();\n    };\n    /**\n     * @private\n     */\n    Layer.prototype.handleSourcePropertyChange_ = function () {\n        if (this.sourceChangeKey_) {\n            unlistenByKey(this.sourceChangeKey_);\n            this.sourceChangeKey_ = null;\n        }\n        var source = this.getSource();\n        if (source) {\n            this.sourceChangeKey_ = listen(source, EventType.CHANGE, this.handleSourceChange_, this);\n        }\n        this.changed();\n    };\n    /**\n     * @param {import(\"../pixel\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../Feature\").default>>} Promise that resolves with\n     * an array of features.\n     */\n    Layer.prototype.getFeatures = function (pixel) {\n        if (!this.renderer_) {\n            return new Promise(function (resolve) { return resolve([]); });\n        }\n        return this.renderer_.getFeatures(pixel);\n    };\n    /**\n     * In charge to manage the rendering of the layer. One layer type is\n     * bounded with one layer renderer.\n     * @param {?import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target which the renderer may (but need not) use\n     * for rendering its content.\n     * @return {HTMLElement} The rendered element.\n     */\n    Layer.prototype.render = function (frameState, target) {\n        var layerRenderer = this.getRenderer();\n        if (layerRenderer.prepareFrame(frameState)) {\n            return layerRenderer.renderFrame(frameState, target);\n        }\n    };\n    /**\n     * For use inside the library only.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Layer.prototype.setMapInternal = function (map) {\n        this.set(LayerProperty.MAP, map);\n    };\n    /**\n     * For use inside the library only.\n     * @return {import(\"../PluggableMap.js\").default} Map.\n     */\n    Layer.prototype.getMapInternal = function () {\n        return this.get(LayerProperty.MAP);\n    };\n    /**\n     * Sets the layer to be rendered on top of other layers on a map. The map will\n     * not manage this layer in its layers collection, and the callback in\n     * {@link module:ol/Map~Map#forEachLayerAtPixel} will receive `null` as layer. This\n     * is useful for temporary layers. To remove an unmanaged layer from the map,\n     * use `#setMap(null)`.\n     *\n     * To add the layer to a map and have it managed by the map, use\n     * {@link module:ol/Map~Map#addLayer} instead.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     * @api\n     */\n    Layer.prototype.setMap = function (map) {\n        if (this.mapPrecomposeKey_) {\n            unlistenByKey(this.mapPrecomposeKey_);\n            this.mapPrecomposeKey_ = null;\n        }\n        if (!map) {\n            this.changed();\n        }\n        if (this.mapRenderKey_) {\n            unlistenByKey(this.mapRenderKey_);\n            this.mapRenderKey_ = null;\n        }\n        if (map) {\n            this.mapPrecomposeKey_ = listen(map, RenderEventType.PRECOMPOSE, function (evt) {\n                var renderEvent = \n                /** @type {import(\"../render/Event.js\").default} */ (evt);\n                var layerStatesArray = renderEvent.frameState.layerStatesArray;\n                var layerState = this.getLayerState(false);\n                // A layer can only be added to the map once. Use either `layer.setMap()` or `map.addLayer()`, not both.\n                assert(!layerStatesArray.some(function (arrayLayerState) {\n                    return arrayLayerState.layer === layerState.layer;\n                }), 67);\n                layerStatesArray.push(layerState);\n            }, this);\n            this.mapRenderKey_ = listen(this, EventType.CHANGE, map.render, map);\n            this.changed();\n        }\n    };\n    /**\n     * Set the layer source.\n     * @param {SourceType} source The layer source.\n     * @observable\n     * @api\n     */\n    Layer.prototype.setSource = function (source) {\n        this.set(LayerProperty.SOURCE, source);\n    };\n    /**\n     * Get the renderer for this layer.\n     * @return {RendererType} The layer renderer.\n     */\n    Layer.prototype.getRenderer = function () {\n        if (!this.renderer_) {\n            this.renderer_ = this.createRenderer();\n        }\n        return this.renderer_;\n    };\n    /**\n     * @return {boolean} The layer has a renderer.\n     */\n    Layer.prototype.hasRenderer = function () {\n        return !!this.renderer_;\n    };\n    /**\n     * Create a renderer for this layer.\n     * @return {RendererType} A layer renderer.\n     * @protected\n     */\n    Layer.prototype.createRenderer = function () {\n        return null;\n    };\n    /**\n     * Clean up.\n     */\n    Layer.prototype.disposeInternal = function () {\n        if (this.renderer_) {\n            this.renderer_.dispose();\n            delete this.renderer_;\n        }\n        this.setSource(null);\n        _super.prototype.disposeInternal.call(this);\n    };\n    return Layer;\n}(BaseLayer));\n/**\n * Return `true` if the layer is visible and if the provided view state\n * has resolution and zoom levels that are in range of the layer's min/max.\n * @param {State} layerState Layer state.\n * @param {import(\"../View.js\").State} viewState View state.\n * @return {boolean} The layer is visible at the given view state.\n */\nexport function inView(layerState, viewState) {\n    if (!layerState.visible) {\n        return false;\n    }\n    var resolution = viewState.resolution;\n    if (resolution < layerState.minResolution ||\n        resolution >= layerState.maxResolution) {\n        return false;\n    }\n    var zoom = viewState.zoom;\n    return zoom > layerState.minZoom && zoom <= layerState.maxZoom;\n}\nexport default Layer;\n//# sourceMappingURL=Layer.js.map","\nexport default function quickselect(arr, k, left, right, compare) {\n    quickselectStep(arr, k, left || 0, right || (arr.length - 1), compare || defaultCompare);\n}\n\nfunction quickselectStep(arr, k, left, right, compare) {\n\n    while (right > left) {\n        if (right - left > 600) {\n            var n = right - left + 1;\n            var m = k - left + 1;\n            var z = Math.log(n);\n            var s = 0.5 * Math.exp(2 * z / 3);\n            var sd = 0.5 * Math.sqrt(z * s * (n - s) / n) * (m - n / 2 < 0 ? -1 : 1);\n            var newLeft = Math.max(left, Math.floor(k - m * s / n + sd));\n            var newRight = Math.min(right, Math.floor(k + (n - m) * s / n + sd));\n            quickselectStep(arr, k, newLeft, newRight, compare);\n        }\n\n        var t = arr[k];\n        var i = left;\n        var j = right;\n\n        swap(arr, left, k);\n        if (compare(arr[right], t) > 0) swap(arr, left, right);\n\n        while (i < j) {\n            swap(arr, i, j);\n            i++;\n            j--;\n            while (compare(arr[i], t) < 0) i++;\n            while (compare(arr[j], t) > 0) j--;\n        }\n\n        if (compare(arr[left], t) === 0) swap(arr, left, j);\n        else {\n            j++;\n            swap(arr, j, right);\n        }\n\n        if (j <= k) left = j + 1;\n        if (k <= j) right = j - 1;\n    }\n}\n\nfunction swap(arr, i, j) {\n    var tmp = arr[i];\n    arr[i] = arr[j];\n    arr[j] = tmp;\n}\n\nfunction defaultCompare(a, b) {\n    return a < b ? -1 : a > b ? 1 : 0;\n}\n","import quickselect from 'quickselect';\n\nexport default class RBush {\n    constructor(maxEntries = 9) {\n        // max entries in a node is 9 by default; min node fill is 40% for best performance\n        this._maxEntries = Math.max(4, maxEntries);\n        this._minEntries = Math.max(2, Math.ceil(this._maxEntries * 0.4));\n        this.clear();\n    }\n\n    all() {\n        return this._all(this.data, []);\n    }\n\n    search(bbox) {\n        let node = this.data;\n        const result = [];\n\n        if (!intersects(bbox, node)) return result;\n\n        const toBBox = this.toBBox;\n        const nodesToSearch = [];\n\n        while (node) {\n            for (let i = 0; i < node.children.length; i++) {\n                const child = node.children[i];\n                const childBBox = node.leaf ? toBBox(child) : child;\n\n                if (intersects(bbox, childBBox)) {\n                    if (node.leaf) result.push(child);\n                    else if (contains(bbox, childBBox)) this._all(child, result);\n                    else nodesToSearch.push(child);\n                }\n            }\n            node = nodesToSearch.pop();\n        }\n\n        return result;\n    }\n\n    collides(bbox) {\n        let node = this.data;\n\n        if (!intersects(bbox, node)) return false;\n\n        const nodesToSearch = [];\n        while (node) {\n            for (let i = 0; i < node.children.length; i++) {\n                const child = node.children[i];\n                const childBBox = node.leaf ? this.toBBox(child) : child;\n\n                if (intersects(bbox, childBBox)) {\n                    if (node.leaf || contains(bbox, childBBox)) return true;\n                    nodesToSearch.push(child);\n                }\n            }\n            node = nodesToSearch.pop();\n        }\n\n        return false;\n    }\n\n    load(data) {\n        if (!(data && data.length)) return this;\n\n        if (data.length < this._minEntries) {\n            for (let i = 0; i < data.length; i++) {\n                this.insert(data[i]);\n            }\n            return this;\n        }\n\n        // recursively build the tree with the given data from scratch using OMT algorithm\n        let node = this._build(data.slice(), 0, data.length - 1, 0);\n\n        if (!this.data.children.length) {\n            // save as is if tree is empty\n            this.data = node;\n\n        } else if (this.data.height === node.height) {\n            // split root if trees have the same height\n            this._splitRoot(this.data, node);\n\n        } else {\n            if (this.data.height < node.height) {\n                // swap trees if inserted one is bigger\n                const tmpNode = this.data;\n                this.data = node;\n                node = tmpNode;\n            }\n\n            // insert the small tree into the large tree at appropriate level\n            this._insert(node, this.data.height - node.height - 1, true);\n        }\n\n        return this;\n    }\n\n    insert(item) {\n        if (item) this._insert(item, this.data.height - 1);\n        return this;\n    }\n\n    clear() {\n        this.data = createNode([]);\n        return this;\n    }\n\n    remove(item, equalsFn) {\n        if (!item) return this;\n\n        let node = this.data;\n        const bbox = this.toBBox(item);\n        const path = [];\n        const indexes = [];\n        let i, parent, goingUp;\n\n        // depth-first iterative tree traversal\n        while (node || path.length) {\n\n            if (!node) { // go up\n                node = path.pop();\n                parent = path[path.length - 1];\n                i = indexes.pop();\n                goingUp = true;\n            }\n\n            if (node.leaf) { // check current node\n                const index = findItem(item, node.children, equalsFn);\n\n                if (index !== -1) {\n                    // item found, remove the item and condense tree upwards\n                    node.children.splice(index, 1);\n                    path.push(node);\n                    this._condense(path);\n                    return this;\n                }\n            }\n\n            if (!goingUp && !node.leaf && contains(node, bbox)) { // go down\n                path.push(node);\n                indexes.push(i);\n                i = 0;\n                parent = node;\n                node = node.children[0];\n\n            } else if (parent) { // go right\n                i++;\n                node = parent.children[i];\n                goingUp = false;\n\n            } else node = null; // nothing found\n        }\n\n        return this;\n    }\n\n    toBBox(item) { return item; }\n\n    compareMinX(a, b) { return a.minX - b.minX; }\n    compareMinY(a, b) { return a.minY - b.minY; }\n\n    toJSON() { return this.data; }\n\n    fromJSON(data) {\n        this.data = data;\n        return this;\n    }\n\n    _all(node, result) {\n        const nodesToSearch = [];\n        while (node) {\n            if (node.leaf) result.push(...node.children);\n            else nodesToSearch.push(...node.children);\n\n            node = nodesToSearch.pop();\n        }\n        return result;\n    }\n\n    _build(items, left, right, height) {\n\n        const N = right - left + 1;\n        let M = this._maxEntries;\n        let node;\n\n        if (N <= M) {\n            // reached leaf level; return leaf\n            node = createNode(items.slice(left, right + 1));\n            calcBBox(node, this.toBBox);\n            return node;\n        }\n\n        if (!height) {\n            // target height of the bulk-loaded tree\n            height = Math.ceil(Math.log(N) / Math.log(M));\n\n            // target number of root entries to maximize storage utilization\n            M = Math.ceil(N / Math.pow(M, height - 1));\n        }\n\n        node = createNode([]);\n        node.leaf = false;\n        node.height = height;\n\n        // split the items into M mostly square tiles\n\n        const N2 = Math.ceil(N / M);\n        const N1 = N2 * Math.ceil(Math.sqrt(M));\n\n        multiSelect(items, left, right, N1, this.compareMinX);\n\n        for (let i = left; i <= right; i += N1) {\n\n            const right2 = Math.min(i + N1 - 1, right);\n\n            multiSelect(items, i, right2, N2, this.compareMinY);\n\n            for (let j = i; j <= right2; j += N2) {\n\n                const right3 = Math.min(j + N2 - 1, right2);\n\n                // pack each entry recursively\n                node.children.push(this._build(items, j, right3, height - 1));\n            }\n        }\n\n        calcBBox(node, this.toBBox);\n\n        return node;\n    }\n\n    _chooseSubtree(bbox, node, level, path) {\n        while (true) {\n            path.push(node);\n\n            if (node.leaf || path.length - 1 === level) break;\n\n            let minArea = Infinity;\n            let minEnlargement = Infinity;\n            let targetNode;\n\n            for (let i = 0; i < node.children.length; i++) {\n                const child = node.children[i];\n                const area = bboxArea(child);\n                const enlargement = enlargedArea(bbox, child) - area;\n\n                // choose entry with the least area enlargement\n                if (enlargement < minEnlargement) {\n                    minEnlargement = enlargement;\n                    minArea = area < minArea ? area : minArea;\n                    targetNode = child;\n\n                } else if (enlargement === minEnlargement) {\n                    // otherwise choose one with the smallest area\n                    if (area < minArea) {\n                        minArea = area;\n                        targetNode = child;\n                    }\n                }\n            }\n\n            node = targetNode || node.children[0];\n        }\n\n        return node;\n    }\n\n    _insert(item, level, isNode) {\n        const bbox = isNode ? item : this.toBBox(item);\n        const insertPath = [];\n\n        // find the best node for accommodating the item, saving all nodes along the path too\n        const node = this._chooseSubtree(bbox, this.data, level, insertPath);\n\n        // put the item into the node\n        node.children.push(item);\n        extend(node, bbox);\n\n        // split on node overflow; propagate upwards if necessary\n        while (level >= 0) {\n            if (insertPath[level].children.length > this._maxEntries) {\n                this._split(insertPath, level);\n                level--;\n            } else break;\n        }\n\n        // adjust bboxes along the insertion path\n        this._adjustParentBBoxes(bbox, insertPath, level);\n    }\n\n    // split overflowed node into two\n    _split(insertPath, level) {\n        const node = insertPath[level];\n        const M = node.children.length;\n        const m = this._minEntries;\n\n        this._chooseSplitAxis(node, m, M);\n\n        const splitIndex = this._chooseSplitIndex(node, m, M);\n\n        const newNode = createNode(node.children.splice(splitIndex, node.children.length - splitIndex));\n        newNode.height = node.height;\n        newNode.leaf = node.leaf;\n\n        calcBBox(node, this.toBBox);\n        calcBBox(newNode, this.toBBox);\n\n        if (level) insertPath[level - 1].children.push(newNode);\n        else this._splitRoot(node, newNode);\n    }\n\n    _splitRoot(node, newNode) {\n        // split root node\n        this.data = createNode([node, newNode]);\n        this.data.height = node.height + 1;\n        this.data.leaf = false;\n        calcBBox(this.data, this.toBBox);\n    }\n\n    _chooseSplitIndex(node, m, M) {\n        let index;\n        let minOverlap = Infinity;\n        let minArea = Infinity;\n\n        for (let i = m; i <= M - m; i++) {\n            const bbox1 = distBBox(node, 0, i, this.toBBox);\n            const bbox2 = distBBox(node, i, M, this.toBBox);\n\n            const overlap = intersectionArea(bbox1, bbox2);\n            const area = bboxArea(bbox1) + bboxArea(bbox2);\n\n            // choose distribution with minimum overlap\n            if (overlap < minOverlap) {\n                minOverlap = overlap;\n                index = i;\n\n                minArea = area < minArea ? area : minArea;\n\n            } else if (overlap === minOverlap) {\n                // otherwise choose distribution with minimum area\n                if (area < minArea) {\n                    minArea = area;\n                    index = i;\n                }\n            }\n        }\n\n        return index || M - m;\n    }\n\n    // sorts node children by the best axis for split\n    _chooseSplitAxis(node, m, M) {\n        const compareMinX = node.leaf ? this.compareMinX : compareNodeMinX;\n        const compareMinY = node.leaf ? this.compareMinY : compareNodeMinY;\n        const xMargin = this._allDistMargin(node, m, M, compareMinX);\n        const yMargin = this._allDistMargin(node, m, M, compareMinY);\n\n        // if total distributions margin value is minimal for x, sort by minX,\n        // otherwise it's already sorted by minY\n        if (xMargin < yMargin) node.children.sort(compareMinX);\n    }\n\n    // total margin of all possible split distributions where each node is at least m full\n    _allDistMargin(node, m, M, compare) {\n        node.children.sort(compare);\n\n        const toBBox = this.toBBox;\n        const leftBBox = distBBox(node, 0, m, toBBox);\n        const rightBBox = distBBox(node, M - m, M, toBBox);\n        let margin = bboxMargin(leftBBox) + bboxMargin(rightBBox);\n\n        for (let i = m; i < M - m; i++) {\n            const child = node.children[i];\n            extend(leftBBox, node.leaf ? toBBox(child) : child);\n            margin += bboxMargin(leftBBox);\n        }\n\n        for (let i = M - m - 1; i >= m; i--) {\n            const child = node.children[i];\n            extend(rightBBox, node.leaf ? toBBox(child) : child);\n            margin += bboxMargin(rightBBox);\n        }\n\n        return margin;\n    }\n\n    _adjustParentBBoxes(bbox, path, level) {\n        // adjust bboxes along the given tree path\n        for (let i = level; i >= 0; i--) {\n            extend(path[i], bbox);\n        }\n    }\n\n    _condense(path) {\n        // go through the path, removing empty nodes and updating bboxes\n        for (let i = path.length - 1, siblings; i >= 0; i--) {\n            if (path[i].children.length === 0) {\n                if (i > 0) {\n                    siblings = path[i - 1].children;\n                    siblings.splice(siblings.indexOf(path[i]), 1);\n\n                } else this.clear();\n\n            } else calcBBox(path[i], this.toBBox);\n        }\n    }\n}\n\nfunction findItem(item, items, equalsFn) {\n    if (!equalsFn) return items.indexOf(item);\n\n    for (let i = 0; i < items.length; i++) {\n        if (equalsFn(item, items[i])) return i;\n    }\n    return -1;\n}\n\n// calculate node's bbox from bboxes of its children\nfunction calcBBox(node, toBBox) {\n    distBBox(node, 0, node.children.length, toBBox, node);\n}\n\n// min bounding rectangle of node children from k to p-1\nfunction distBBox(node, k, p, toBBox, destNode) {\n    if (!destNode) destNode = createNode(null);\n    destNode.minX = Infinity;\n    destNode.minY = Infinity;\n    destNode.maxX = -Infinity;\n    destNode.maxY = -Infinity;\n\n    for (let i = k; i < p; i++) {\n        const child = node.children[i];\n        extend(destNode, node.leaf ? toBBox(child) : child);\n    }\n\n    return destNode;\n}\n\nfunction extend(a, b) {\n    a.minX = Math.min(a.minX, b.minX);\n    a.minY = Math.min(a.minY, b.minY);\n    a.maxX = Math.max(a.maxX, b.maxX);\n    a.maxY = Math.max(a.maxY, b.maxY);\n    return a;\n}\n\nfunction compareNodeMinX(a, b) { return a.minX - b.minX; }\nfunction compareNodeMinY(a, b) { return a.minY - b.minY; }\n\nfunction bboxArea(a)   { return (a.maxX - a.minX) * (a.maxY - a.minY); }\nfunction bboxMargin(a) { return (a.maxX - a.minX) + (a.maxY - a.minY); }\n\nfunction enlargedArea(a, b) {\n    return (Math.max(b.maxX, a.maxX) - Math.min(b.minX, a.minX)) *\n           (Math.max(b.maxY, a.maxY) - Math.min(b.minY, a.minY));\n}\n\nfunction intersectionArea(a, b) {\n    const minX = Math.max(a.minX, b.minX);\n    const minY = Math.max(a.minY, b.minY);\n    const maxX = Math.min(a.maxX, b.maxX);\n    const maxY = Math.min(a.maxY, b.maxY);\n\n    return Math.max(0, maxX - minX) *\n           Math.max(0, maxY - minY);\n}\n\nfunction contains(a, b) {\n    return a.minX <= b.minX &&\n           a.minY <= b.minY &&\n           b.maxX <= a.maxX &&\n           b.maxY <= a.maxY;\n}\n\nfunction intersects(a, b) {\n    return b.minX <= a.maxX &&\n           b.minY <= a.maxY &&\n           b.maxX >= a.minX &&\n           b.maxY >= a.minY;\n}\n\nfunction createNode(children) {\n    return {\n        children,\n        height: 1,\n        leaf: true,\n        minX: Infinity,\n        minY: Infinity,\n        maxX: -Infinity,\n        maxY: -Infinity\n    };\n}\n\n// sort an array so that items come in groups of n unsorted items, with groups sorted between each other;\n// combines selection algorithm with binary divide & conquer approach\n\nfunction multiSelect(arr, left, right, n, compare) {\n    const stack = [left, right];\n\n    while (stack.length) {\n        right = stack.pop();\n        left = stack.pop();\n\n        if (right - left <= n) continue;\n\n        const mid = left + Math.ceil((right - left) / n / 2) * n;\n        quickselect(arr, mid, left, right, compare);\n\n        stack.push(left, mid, mid, right);\n    }\n}\n","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/BaseVector\n */\nimport Layer from './Layer.js';\nimport RBush from 'rbush';\nimport { assign } from '../obj.js';\nimport { createDefaultStyle, toFunction as toStyleFunction, } from '../style/Style.js';\n/**\n * @template {import(\"../source/Vector.js\").default|import(\"../source/VectorTile.js\").default} VectorSourceType\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {import(\"../render.js\").OrderFunction} [renderOrder] Render order. Function to be used when sorting\n * features before rendering. By default features are drawn in the order that they are created. Use\n * `null` to avoid the sort, but get an undefined draw order.\n * @property {number} [renderBuffer=100] The buffer in pixels around the viewport extent used by the\n * renderer when getting features from the vector source for the rendering or hit-detection.\n * Recommended value: the size of the largest symbol, line width or label.\n * @property {VectorSourceType} [source] Source.\n * @property {import(\"../PluggableMap.js\").default} [map] Sets the layer as overlay on a map. The map will not manage\n * this layer in its layers collection, and the layer will be rendered on top. This is useful for\n * temporary layers. The standard way to add a layer to a map and have it managed by the map is to\n * use {@link import(\"../PluggableMap.js\").default#addLayer map.addLayer()}.\n * @property {boolean} [declutter=false] Declutter images and text. Decluttering is applied to all\n * image and text styles of all Vector and VectorTile layers that have set this to `true`. The priority\n * is defined by the z-index of the layer, the `zIndex` of the style and the render order of features.\n * Higher z-index means higher priority. Within the same z-index, a feature rendered before another has\n * higher priority.\n * @property {import(\"../style/Style.js\").StyleLike|null} [style] Layer style. When set to `null`, only\n * features that have their own style will be rendered. See {@link module:ol/style/Style~Style} for the default style\n * which will be used if this is not set.\n * @property {import(\"./Base.js\").BackgroundColor} [background] Background color for the layer. If not specified, no background\n * will be rendered.\n * @property {boolean} [updateWhileAnimating=false] When set to `true`, feature batches will\n * be recreated during animations. This means that no vectors will be shown clipped, but the\n * setting will have a performance impact for large amounts of vector data. When set to `false`,\n * batches will be recreated when no animation is active.\n * @property {boolean} [updateWhileInteracting=false] When set to `true`, feature batches will\n * be recreated during interactions. See also `updateWhileAnimating`.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @enum {string}\n * @private\n */\nvar Property = {\n    RENDER_ORDER: 'renderOrder',\n};\n/**\n * @classdesc\n * Vector data that is rendered client-side.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Vector.js\").default|import(\"../source/VectorTile.js\").default} VectorSourceType\n * @template {import(\"../renderer/Layer.js\").default} RendererType\n * @extends {Layer<VectorSourceType, RendererType>}\n * @api\n */\nvar BaseVectorLayer = /** @class */ (function (_super) {\n    __extends(BaseVectorLayer, _super);\n    /**\n     * @param {Options<VectorSourceType>} [opt_options] Options.\n     */\n    function BaseVectorLayer(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var baseOptions = assign({}, options);\n        delete baseOptions.style;\n        delete baseOptions.renderBuffer;\n        delete baseOptions.updateWhileAnimating;\n        delete baseOptions.updateWhileInteracting;\n        _this = _super.call(this, baseOptions) || this;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.declutter_ =\n            options.declutter !== undefined ? options.declutter : false;\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.renderBuffer_ =\n            options.renderBuffer !== undefined ? options.renderBuffer : 100;\n        /**\n         * User provided style.\n         * @type {import(\"../style/Style.js\").StyleLike}\n         * @private\n         */\n        _this.style_ = null;\n        /**\n         * Style function for use within the library.\n         * @type {import(\"../style/Style.js\").StyleFunction|undefined}\n         * @private\n         */\n        _this.styleFunction_ = undefined;\n        _this.setStyle(options.style);\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.updateWhileAnimating_ =\n            options.updateWhileAnimating !== undefined\n                ? options.updateWhileAnimating\n                : false;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.updateWhileInteracting_ =\n            options.updateWhileInteracting !== undefined\n                ? options.updateWhileInteracting\n                : false;\n        return _this;\n    }\n    /**\n     * @return {boolean} Declutter.\n     */\n    BaseVectorLayer.prototype.getDeclutter = function () {\n        return this.declutter_;\n    };\n    /**\n     * Get the topmost feature that intersects the given pixel on the viewport. Returns a promise\n     * that resolves with an array of features. The array will either contain the topmost feature\n     * when a hit was detected, or it will be empty.\n     *\n     * The hit detection algorithm used for this method is optimized for performance, but is less\n     * accurate than the one used in {@link import(\"../PluggableMap.js\").default#getFeaturesAtPixel}: Text\n     * is not considered, and icons are only represented by their bounding box instead of the exact\n     * image.\n     *\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../Feature\").default>>} Promise that resolves with an array of features.\n     * @api\n     */\n    BaseVectorLayer.prototype.getFeatures = function (pixel) {\n        return _super.prototype.getFeatures.call(this, pixel);\n    };\n    /**\n     * @return {number|undefined} Render buffer.\n     */\n    BaseVectorLayer.prototype.getRenderBuffer = function () {\n        return this.renderBuffer_;\n    };\n    /**\n     * @return {function(import(\"../Feature.js\").default, import(\"../Feature.js\").default): number|null|undefined} Render\n     *     order.\n     */\n    BaseVectorLayer.prototype.getRenderOrder = function () {\n        return /** @type {import(\"../render.js\").OrderFunction|null|undefined} */ (this.get(Property.RENDER_ORDER));\n    };\n    /**\n     * Get the style for features.  This returns whatever was passed to the `style`\n     * option at construction or to the `setStyle` method.\n     * @return {import(\"../style/Style.js\").StyleLike|null|undefined} Layer style.\n     * @api\n     */\n    BaseVectorLayer.prototype.getStyle = function () {\n        return this.style_;\n    };\n    /**\n     * Get the style function.\n     * @return {import(\"../style/Style.js\").StyleFunction|undefined} Layer style function.\n     * @api\n     */\n    BaseVectorLayer.prototype.getStyleFunction = function () {\n        return this.styleFunction_;\n    };\n    /**\n     * @return {boolean} Whether the rendered layer should be updated while\n     *     animating.\n     */\n    BaseVectorLayer.prototype.getUpdateWhileAnimating = function () {\n        return this.updateWhileAnimating_;\n    };\n    /**\n     * @return {boolean} Whether the rendered layer should be updated while\n     *     interacting.\n     */\n    BaseVectorLayer.prototype.getUpdateWhileInteracting = function () {\n        return this.updateWhileInteracting_;\n    };\n    /**\n     * Render declutter items for this layer\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    BaseVectorLayer.prototype.renderDeclutter = function (frameState) {\n        if (!frameState.declutterTree) {\n            frameState.declutterTree = new RBush(9);\n        }\n        /** @type {*} */ (this.getRenderer()).renderDeclutter(frameState);\n    };\n    /**\n     * @param {import(\"../render.js\").OrderFunction|null|undefined} renderOrder\n     *     Render order.\n     */\n    BaseVectorLayer.prototype.setRenderOrder = function (renderOrder) {\n        this.set(Property.RENDER_ORDER, renderOrder);\n    };\n    /**\n     * Set the style for features.  This can be a single style object, an array\n     * of styles, or a function that takes a feature and resolution and returns\n     * an array of styles. If set to `null`, the layer has no style (a `null` style),\n     * so only features that have their own styles will be rendered in the layer. Call\n     * `setStyle()` without arguments to reset to the default style. See\n     * {@link module:ol/style/Style~Style} for information on the default style.\n     * @param {import(\"../style/Style.js\").StyleLike|null} [opt_style] Layer style.\n     * @api\n     */\n    BaseVectorLayer.prototype.setStyle = function (opt_style) {\n        this.style_ = opt_style !== undefined ? opt_style : createDefaultStyle;\n        this.styleFunction_ =\n            opt_style === null ? undefined : toStyleFunction(this.style_);\n        this.changed();\n    };\n    return BaseVectorLayer;\n}(Layer));\nexport default BaseVectorLayer;\n//# sourceMappingURL=BaseVector.js.map","/**\n * @module ol/render/canvas/Instruction\n */\n/**\n * @enum {number}\n */\nvar Instruction = {\n    BEGIN_GEOMETRY: 0,\n    BEGIN_PATH: 1,\n    CIRCLE: 2,\n    CLOSE_PATH: 3,\n    CUSTOM: 4,\n    DRAW_CHARS: 5,\n    DRAW_IMAGE: 6,\n    END_GEOMETRY: 7,\n    FILL: 8,\n    MOVE_TO_LINE_TO: 9,\n    SET_FILL_STYLE: 10,\n    SET_STROKE_STYLE: 11,\n    STROKE: 12,\n};\n/**\n * @type {Array<Instruction>}\n */\nexport var fillInstruction = [Instruction.FILL];\n/**\n * @type {Array<Instruction>}\n */\nexport var strokeInstruction = [Instruction.STROKE];\n/**\n * @type {Array<Instruction>}\n */\nexport var beginPathInstruction = [Instruction.BEGIN_PATH];\n/**\n * @type {Array<Instruction>}\n */\nexport var closePathInstruction = [Instruction.CLOSE_PATH];\nexport default Instruction;\n//# sourceMappingURL=Instruction.js.map","/**\n * @module ol/render/VectorContext\n */\n/**\n * @classdesc\n * Context for drawing geometries.  A vector context is available on render\n * events and does not need to be constructed directly.\n * @api\n */\nvar VectorContext = /** @class */ (function () {\n    function VectorContext() {\n    }\n    /**\n     * Render a geometry with a custom renderer.\n     *\n     * @param {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     * @param {Function} renderer Renderer.\n     * @param {Function} hitDetectionRenderer Renderer.\n     */\n    VectorContext.prototype.drawCustom = function (geometry, feature, renderer, hitDetectionRenderer) { };\n    /**\n     * Render a geometry.\n     *\n     * @param {import(\"../geom/Geometry.js\").default} geometry The geometry to render.\n     */\n    VectorContext.prototype.drawGeometry = function (geometry) { };\n    /**\n     * Set the rendering style.\n     *\n     * @param {import(\"../style/Style.js\").default} style The rendering style.\n     */\n    VectorContext.prototype.setStyle = function (style) { };\n    /**\n     * @param {import(\"../geom/Circle.js\").default} circleGeometry Circle geometry.\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     */\n    VectorContext.prototype.drawCircle = function (circleGeometry, feature) { };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"../style/Style.js\").default} style Style.\n     */\n    VectorContext.prototype.drawFeature = function (feature, style) { };\n    /**\n     * @param {import(\"../geom/GeometryCollection.js\").default} geometryCollectionGeometry Geometry collection.\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     */\n    VectorContext.prototype.drawGeometryCollection = function (geometryCollectionGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/LineString.js\").default|import(\"./Feature.js\").default} lineStringGeometry Line string geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawLineString = function (lineStringGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/MultiLineString.js\").default|import(\"./Feature.js\").default} multiLineStringGeometry MultiLineString geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawMultiLineString = function (multiLineStringGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/MultiPoint.js\").default|import(\"./Feature.js\").default} multiPointGeometry MultiPoint geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawMultiPoint = function (multiPointGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/MultiPolygon.js\").default} multiPolygonGeometry MultiPolygon geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawMultiPolygon = function (multiPolygonGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/Point.js\").default|import(\"./Feature.js\").default} pointGeometry Point geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawPoint = function (pointGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/Polygon.js\").default|import(\"./Feature.js\").default} polygonGeometry Polygon geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawPolygon = function (polygonGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/SimpleGeometry.js\").default|import(\"./Feature.js\").default} geometry Geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawText = function (geometry, feature) { };\n    /**\n     * @param {import(\"../style/Fill.js\").default} fillStyle Fill style.\n     * @param {import(\"../style/Stroke.js\").default} strokeStyle Stroke style.\n     */\n    VectorContext.prototype.setFillStrokeStyle = function (fillStyle, strokeStyle) { };\n    /**\n     * @param {import(\"../style/Image.js\").default} imageStyle Image style.\n     * @param {import(\"../render/canvas.js\").DeclutterImageWithText} [opt_declutterImageWithText] Shared data for combined decluttering with a text style.\n     */\n    VectorContext.prototype.setImageStyle = function (imageStyle, opt_declutterImageWithText) { };\n    /**\n     * @param {import(\"../style/Text.js\").default} textStyle Text style.\n     * @param {import(\"../render/canvas.js\").DeclutterImageWithText} [opt_declutterImageWithText] Shared data for combined decluttering with an image style.\n     */\n    VectorContext.prototype.setTextStyle = function (textStyle, opt_declutterImageWithText) { };\n    return VectorContext;\n}());\nexport default VectorContext;\n//# sourceMappingURL=VectorContext.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/render/canvas/Builder\n */\nimport CanvasInstruction from './Instruction.js';\nimport GeometryType from '../../geom/GeometryType.js';\nimport Relationship from '../../extent/Relationship.js';\nimport VectorContext from '../VectorContext.js';\nimport { asColorLike } from '../../colorlike.js';\nimport { buffer, clone, containsCoordinate, coordinateRelationship, } from '../../extent.js';\nimport { defaultFillStyle, defaultLineCap, defaultLineDash, defaultLineDashOffset, defaultLineJoin, defaultLineWidth, defaultMiterLimit, defaultStrokeStyle, } from '../canvas.js';\nimport { equals, reverseSubArray } from '../../array.js';\nimport { inflateCoordinates, inflateCoordinatesArray, inflateMultiCoordinatesArray, } from '../../geom/flat/inflate.js';\nvar CanvasBuilder = /** @class */ (function (_super) {\n    __extends(CanvasBuilder, _super);\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Maximum extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function CanvasBuilder(tolerance, maxExtent, resolution, pixelRatio) {\n        var _this = _super.call(this) || this;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.tolerance = tolerance;\n        /**\n         * @protected\n         * @const\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.maxExtent = maxExtent;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.pixelRatio = pixelRatio;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.maxLineWidth = 0;\n        /**\n         * @protected\n         * @const\n         * @type {number}\n         */\n        _this.resolution = resolution;\n        /**\n         * @private\n         * @type {Array<*>}\n         */\n        _this.beginGeometryInstruction1_ = null;\n        /**\n         * @private\n         * @type {Array<*>}\n         */\n        _this.beginGeometryInstruction2_ = null;\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.bufferedMaxExtent_ = null;\n        /**\n         * @protected\n         * @type {Array<*>}\n         */\n        _this.instructions = [];\n        /**\n         * @protected\n         * @type {Array<number>}\n         */\n        _this.coordinates = [];\n        /**\n         * @private\n         * @type {import(\"../../coordinate.js\").Coordinate}\n         */\n        _this.tmpCoordinate_ = [];\n        /**\n         * @protected\n         * @type {Array<*>}\n         */\n        _this.hitDetectionInstructions = [];\n        /**\n         * @protected\n         * @type {import(\"../canvas.js\").FillStrokeState}\n         */\n        _this.state = /** @type {import(\"../canvas.js\").FillStrokeState} */ ({});\n        return _this;\n    }\n    /**\n     * @protected\n     * @param {Array<number>} dashArray Dash array.\n     * @return {Array<number>} Dash array with pixel ratio applied\n     */\n    CanvasBuilder.prototype.applyPixelRatio = function (dashArray) {\n        var pixelRatio = this.pixelRatio;\n        return pixelRatio == 1\n            ? dashArray\n            : dashArray.map(function (dash) {\n                return dash * pixelRatio;\n            });\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} stride Stride.\n     * @protected\n     * @return {number} My end\n     */\n    CanvasBuilder.prototype.appendFlatPointCoordinates = function (flatCoordinates, stride) {\n        var extent = this.getBufferedMaxExtent();\n        var tmpCoord = this.tmpCoordinate_;\n        var coordinates = this.coordinates;\n        var myEnd = coordinates.length;\n        for (var i = 0, ii = flatCoordinates.length; i < ii; i += stride) {\n            tmpCoord[0] = flatCoordinates[i];\n            tmpCoord[1] = flatCoordinates[i + 1];\n            if (containsCoordinate(extent, tmpCoord)) {\n                coordinates[myEnd++] = tmpCoord[0];\n                coordinates[myEnd++] = tmpCoord[1];\n            }\n        }\n        return myEnd;\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {number} end End.\n     * @param {number} stride Stride.\n     * @param {boolean} closed Last input coordinate equals first.\n     * @param {boolean} skipFirst Skip first coordinate.\n     * @protected\n     * @return {number} My end.\n     */\n    CanvasBuilder.prototype.appendFlatLineCoordinates = function (flatCoordinates, offset, end, stride, closed, skipFirst) {\n        var coordinates = this.coordinates;\n        var myEnd = coordinates.length;\n        var extent = this.getBufferedMaxExtent();\n        if (skipFirst) {\n            offset += stride;\n        }\n        var lastXCoord = flatCoordinates[offset];\n        var lastYCoord = flatCoordinates[offset + 1];\n        var nextCoord = this.tmpCoordinate_;\n        var skipped = true;\n        var i, lastRel, nextRel;\n        for (i = offset + stride; i < end; i += stride) {\n            nextCoord[0] = flatCoordinates[i];\n            nextCoord[1] = flatCoordinates[i + 1];\n            nextRel = coordinateRelationship(extent, nextCoord);\n            if (nextRel !== lastRel) {\n                if (skipped) {\n                    coordinates[myEnd++] = lastXCoord;\n                    coordinates[myEnd++] = lastYCoord;\n                    skipped = false;\n                }\n                coordinates[myEnd++] = nextCoord[0];\n                coordinates[myEnd++] = nextCoord[1];\n            }\n            else if (nextRel === Relationship.INTERSECTING) {\n                coordinates[myEnd++] = nextCoord[0];\n                coordinates[myEnd++] = nextCoord[1];\n                skipped = false;\n            }\n            else {\n                skipped = true;\n            }\n            lastXCoord = nextCoord[0];\n            lastYCoord = nextCoord[1];\n            lastRel = nextRel;\n        }\n        // Last coordinate equals first or only one point to append:\n        if ((closed && skipped) || i === offset + stride) {\n            coordinates[myEnd++] = lastXCoord;\n            coordinates[myEnd++] = lastYCoord;\n        }\n        return myEnd;\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {Array<number>} ends Ends.\n     * @param {number} stride Stride.\n     * @param {Array<number>} builderEnds Builder ends.\n     * @return {number} Offset.\n     */\n    CanvasBuilder.prototype.drawCustomCoordinates_ = function (flatCoordinates, offset, ends, stride, builderEnds) {\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            var end = ends[i];\n            var builderEnd = this.appendFlatLineCoordinates(flatCoordinates, offset, end, stride, false, false);\n            builderEnds.push(builderEnd);\n            offset = end;\n        }\n        return offset;\n    };\n    /**\n     * @param {import(\"../../geom/SimpleGeometry.js\").default} geometry Geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     * @param {Function} renderer Renderer.\n     * @param {Function} hitDetectionRenderer Renderer.\n     */\n    CanvasBuilder.prototype.drawCustom = function (geometry, feature, renderer, hitDetectionRenderer) {\n        this.beginGeometry(geometry, feature);\n        var type = geometry.getType();\n        var stride = geometry.getStride();\n        var builderBegin = this.coordinates.length;\n        var flatCoordinates, builderEnd, builderEnds, builderEndss;\n        var offset;\n        switch (type) {\n            case GeometryType.MULTI_POLYGON:\n                flatCoordinates =\n                    /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry).getOrientedFlatCoordinates();\n                builderEndss = [];\n                var endss = \n                /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry).getEndss();\n                offset = 0;\n                for (var i = 0, ii = endss.length; i < ii; ++i) {\n                    var myEnds = [];\n                    offset = this.drawCustomCoordinates_(flatCoordinates, offset, endss[i], stride, myEnds);\n                    builderEndss.push(myEnds);\n                }\n                this.instructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEndss,\n                    geometry,\n                    renderer,\n                    inflateMultiCoordinatesArray,\n                ]);\n                this.hitDetectionInstructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEndss,\n                    geometry,\n                    hitDetectionRenderer || renderer,\n                    inflateMultiCoordinatesArray,\n                ]);\n                break;\n            case GeometryType.POLYGON:\n            case GeometryType.MULTI_LINE_STRING:\n                builderEnds = [];\n                flatCoordinates =\n                    type == GeometryType.POLYGON\n                        ? /** @type {import(\"../../geom/Polygon.js\").default} */ (geometry).getOrientedFlatCoordinates()\n                        : geometry.getFlatCoordinates();\n                offset = this.drawCustomCoordinates_(flatCoordinates, 0, \n                /** @type {import(\"../../geom/Polygon.js\").default|import(\"../../geom/MultiLineString.js\").default} */ (geometry).getEnds(), stride, builderEnds);\n                this.instructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnds,\n                    geometry,\n                    renderer,\n                    inflateCoordinatesArray,\n                ]);\n                this.hitDetectionInstructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnds,\n                    geometry,\n                    hitDetectionRenderer || renderer,\n                    inflateCoordinatesArray,\n                ]);\n                break;\n            case GeometryType.LINE_STRING:\n            case GeometryType.CIRCLE:\n                flatCoordinates = geometry.getFlatCoordinates();\n                builderEnd = this.appendFlatLineCoordinates(flatCoordinates, 0, flatCoordinates.length, stride, false, false);\n                this.instructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnd,\n                    geometry,\n                    renderer,\n                    inflateCoordinates,\n                ]);\n                this.hitDetectionInstructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnd,\n                    geometry,\n                    hitDetectionRenderer || renderer,\n                    inflateCoordinates,\n                ]);\n                break;\n            case GeometryType.MULTI_POINT:\n                flatCoordinates = geometry.getFlatCoordinates();\n                builderEnd = this.appendFlatPointCoordinates(flatCoordinates, stride);\n                if (builderEnd > builderBegin) {\n                    this.instructions.push([\n                        CanvasInstruction.CUSTOM,\n                        builderBegin,\n                        builderEnd,\n                        geometry,\n                        renderer,\n                        inflateCoordinates,\n                    ]);\n                    this.hitDetectionInstructions.push([\n                        CanvasInstruction.CUSTOM,\n                        builderBegin,\n                        builderEnd,\n                        geometry,\n                        hitDetectionRenderer || renderer,\n                        inflateCoordinates,\n                    ]);\n                }\n                break;\n            case GeometryType.POINT:\n                flatCoordinates = geometry.getFlatCoordinates();\n                this.coordinates.push(flatCoordinates[0], flatCoordinates[1]);\n                builderEnd = this.coordinates.length;\n                this.instructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnd,\n                    geometry,\n                    renderer,\n                ]);\n                this.hitDetectionInstructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnd,\n                    geometry,\n                    hitDetectionRenderer || renderer,\n                ]);\n                break;\n            default:\n        }\n        this.endGeometry(feature);\n    };\n    /**\n     * @protected\n     * @param {import(\"../../geom/Geometry\").default|import(\"../Feature.js\").default} geometry The geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasBuilder.prototype.beginGeometry = function (geometry, feature) {\n        this.beginGeometryInstruction1_ = [\n            CanvasInstruction.BEGIN_GEOMETRY,\n            feature,\n            0,\n            geometry,\n        ];\n        this.instructions.push(this.beginGeometryInstruction1_);\n        this.beginGeometryInstruction2_ = [\n            CanvasInstruction.BEGIN_GEOMETRY,\n            feature,\n            0,\n            geometry,\n        ];\n        this.hitDetectionInstructions.push(this.beginGeometryInstruction2_);\n    };\n    /**\n     * @return {import(\"../canvas.js\").SerializableInstructions} the serializable instructions.\n     */\n    CanvasBuilder.prototype.finish = function () {\n        return {\n            instructions: this.instructions,\n            hitDetectionInstructions: this.hitDetectionInstructions,\n            coordinates: this.coordinates,\n        };\n    };\n    /**\n     * Reverse the hit detection instructions.\n     */\n    CanvasBuilder.prototype.reverseHitDetectionInstructions = function () {\n        var hitDetectionInstructions = this.hitDetectionInstructions;\n        // step 1 - reverse array\n        hitDetectionInstructions.reverse();\n        // step 2 - reverse instructions within geometry blocks\n        var i;\n        var n = hitDetectionInstructions.length;\n        var instruction;\n        var type;\n        var begin = -1;\n        for (i = 0; i < n; ++i) {\n            instruction = hitDetectionInstructions[i];\n            type = /** @type {import(\"./Instruction.js\").default} */ (instruction[0]);\n            if (type == CanvasInstruction.END_GEOMETRY) {\n                begin = i;\n            }\n            else if (type == CanvasInstruction.BEGIN_GEOMETRY) {\n                instruction[2] = i;\n                reverseSubArray(this.hitDetectionInstructions, begin, i);\n                begin = -1;\n            }\n        }\n    };\n    /**\n     * @param {import(\"../../style/Fill.js\").default} fillStyle Fill style.\n     * @param {import(\"../../style/Stroke.js\").default} strokeStyle Stroke style.\n     */\n    CanvasBuilder.prototype.setFillStrokeStyle = function (fillStyle, strokeStyle) {\n        var state = this.state;\n        if (fillStyle) {\n            var fillStyleColor = fillStyle.getColor();\n            state.fillStyle = asColorLike(fillStyleColor ? fillStyleColor : defaultFillStyle);\n        }\n        else {\n            state.fillStyle = undefined;\n        }\n        if (strokeStyle) {\n            var strokeStyleColor = strokeStyle.getColor();\n            state.strokeStyle = asColorLike(strokeStyleColor ? strokeStyleColor : defaultStrokeStyle);\n            var strokeStyleLineCap = strokeStyle.getLineCap();\n            state.lineCap =\n                strokeStyleLineCap !== undefined ? strokeStyleLineCap : defaultLineCap;\n            var strokeStyleLineDash = strokeStyle.getLineDash();\n            state.lineDash = strokeStyleLineDash\n                ? strokeStyleLineDash.slice()\n                : defaultLineDash;\n            var strokeStyleLineDashOffset = strokeStyle.getLineDashOffset();\n            state.lineDashOffset = strokeStyleLineDashOffset\n                ? strokeStyleLineDashOffset\n                : defaultLineDashOffset;\n            var strokeStyleLineJoin = strokeStyle.getLineJoin();\n            state.lineJoin =\n                strokeStyleLineJoin !== undefined\n                    ? strokeStyleLineJoin\n                    : defaultLineJoin;\n            var strokeStyleWidth = strokeStyle.getWidth();\n            state.lineWidth =\n                strokeStyleWidth !== undefined ? strokeStyleWidth : defaultLineWidth;\n            var strokeStyleMiterLimit = strokeStyle.getMiterLimit();\n            state.miterLimit =\n                strokeStyleMiterLimit !== undefined\n                    ? strokeStyleMiterLimit\n                    : defaultMiterLimit;\n            if (state.lineWidth > this.maxLineWidth) {\n                this.maxLineWidth = state.lineWidth;\n                // invalidate the buffered max extent cache\n                this.bufferedMaxExtent_ = null;\n            }\n        }\n        else {\n            state.strokeStyle = undefined;\n            state.lineCap = undefined;\n            state.lineDash = null;\n            state.lineDashOffset = undefined;\n            state.lineJoin = undefined;\n            state.lineWidth = undefined;\n            state.miterLimit = undefined;\n        }\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     * @return {Array<*>} Fill instruction.\n     */\n    CanvasBuilder.prototype.createFill = function (state) {\n        var fillStyle = state.fillStyle;\n        /** @type {Array<*>} */\n        var fillInstruction = [CanvasInstruction.SET_FILL_STYLE, fillStyle];\n        if (typeof fillStyle !== 'string') {\n            // Fill is a pattern or gradient - align it!\n            fillInstruction.push(true);\n        }\n        return fillInstruction;\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     */\n    CanvasBuilder.prototype.applyStroke = function (state) {\n        this.instructions.push(this.createStroke(state));\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     * @return {Array<*>} Stroke instruction.\n     */\n    CanvasBuilder.prototype.createStroke = function (state) {\n        return [\n            CanvasInstruction.SET_STROKE_STYLE,\n            state.strokeStyle,\n            state.lineWidth * this.pixelRatio,\n            state.lineCap,\n            state.lineJoin,\n            state.miterLimit,\n            this.applyPixelRatio(state.lineDash),\n            state.lineDashOffset * this.pixelRatio,\n        ];\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     * @param {function(this:CanvasBuilder, import(\"../canvas.js\").FillStrokeState):Array<*>} createFill Create fill.\n     */\n    CanvasBuilder.prototype.updateFillStyle = function (state, createFill) {\n        var fillStyle = state.fillStyle;\n        if (typeof fillStyle !== 'string' || state.currentFillStyle != fillStyle) {\n            if (fillStyle !== undefined) {\n                this.instructions.push(createFill.call(this, state));\n            }\n            state.currentFillStyle = fillStyle;\n        }\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     * @param {function(this:CanvasBuilder, import(\"../canvas.js\").FillStrokeState): void} applyStroke Apply stroke.\n     */\n    CanvasBuilder.prototype.updateStrokeStyle = function (state, applyStroke) {\n        var strokeStyle = state.strokeStyle;\n        var lineCap = state.lineCap;\n        var lineDash = state.lineDash;\n        var lineDashOffset = state.lineDashOffset;\n        var lineJoin = state.lineJoin;\n        var lineWidth = state.lineWidth;\n        var miterLimit = state.miterLimit;\n        if (state.currentStrokeStyle != strokeStyle ||\n            state.currentLineCap != lineCap ||\n            (lineDash != state.currentLineDash &&\n                !equals(state.currentLineDash, lineDash)) ||\n            state.currentLineDashOffset != lineDashOffset ||\n            state.currentLineJoin != lineJoin ||\n            state.currentLineWidth != lineWidth ||\n            state.currentMiterLimit != miterLimit) {\n            if (strokeStyle !== undefined) {\n                applyStroke.call(this, state);\n            }\n            state.currentStrokeStyle = strokeStyle;\n            state.currentLineCap = lineCap;\n            state.currentLineDash = lineDash;\n            state.currentLineDashOffset = lineDashOffset;\n            state.currentLineJoin = lineJoin;\n            state.currentLineWidth = lineWidth;\n            state.currentMiterLimit = miterLimit;\n        }\n    };\n    /**\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasBuilder.prototype.endGeometry = function (feature) {\n        this.beginGeometryInstruction1_[2] = this.instructions.length;\n        this.beginGeometryInstruction1_ = null;\n        this.beginGeometryInstruction2_[2] = this.hitDetectionInstructions.length;\n        this.beginGeometryInstruction2_ = null;\n        var endGeometryInstruction = [CanvasInstruction.END_GEOMETRY, feature];\n        this.instructions.push(endGeometryInstruction);\n        this.hitDetectionInstructions.push(endGeometryInstruction);\n    };\n    /**\n     * Get the buffered rendering extent.  Rendering will be clipped to the extent\n     * provided to the constructor.  To account for symbolizers that may intersect\n     * this extent, we calculate a buffered extent (e.g. based on stroke width).\n     * @return {import(\"../../extent.js\").Extent} The buffered rendering extent.\n     * @protected\n     */\n    CanvasBuilder.prototype.getBufferedMaxExtent = function () {\n        if (!this.bufferedMaxExtent_) {\n            this.bufferedMaxExtent_ = clone(this.maxExtent);\n            if (this.maxLineWidth > 0) {\n                var width = (this.resolution * (this.maxLineWidth + 1)) / 2;\n                buffer(this.bufferedMaxExtent_, width, this.bufferedMaxExtent_);\n            }\n        }\n        return this.bufferedMaxExtent_;\n    };\n    return CanvasBuilder;\n}(VectorContext));\nexport default CanvasBuilder;\n//# sourceMappingURL=Builder.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/render/canvas/ImageBuilder\n */\nimport CanvasBuilder from './Builder.js';\nimport CanvasInstruction from './Instruction.js';\nvar CanvasImageBuilder = /** @class */ (function (_super) {\n    __extends(CanvasImageBuilder, _super);\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Maximum extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function CanvasImageBuilder(tolerance, maxExtent, resolution, pixelRatio) {\n        var _this = _super.call(this, tolerance, maxExtent, resolution, pixelRatio) || this;\n        /**\n         * @private\n         * @type {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement}\n         */\n        _this.hitDetectionImage_ = null;\n        /**\n         * @private\n         * @type {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement}\n         */\n        _this.image_ = null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.imagePixelRatio_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.anchorX_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.anchorY_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.height_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.opacity_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.originX_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.originY_ = undefined;\n        /**\n         * @private\n         * @type {boolean|undefined}\n         */\n        _this.rotateWithView_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.rotation_ = undefined;\n        /**\n         * @private\n         * @type {import(\"../../size.js\").Size|undefined}\n         */\n        _this.scale_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.width_ = undefined;\n        /**\n         * Data shared with a text builder for combined decluttering.\n         * @private\n         * @type {import(\"../canvas.js\").DeclutterImageWithText}\n         */\n        _this.declutterImageWithText_ = undefined;\n        return _this;\n    }\n    /**\n     * @param {import(\"../../geom/Point.js\").default|import(\"../Feature.js\").default} pointGeometry Point geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasImageBuilder.prototype.drawPoint = function (pointGeometry, feature) {\n        if (!this.image_) {\n            return;\n        }\n        this.beginGeometry(pointGeometry, feature);\n        var flatCoordinates = pointGeometry.getFlatCoordinates();\n        var stride = pointGeometry.getStride();\n        var myBegin = this.coordinates.length;\n        var myEnd = this.appendFlatPointCoordinates(flatCoordinates, stride);\n        this.instructions.push([\n            CanvasInstruction.DRAW_IMAGE,\n            myBegin,\n            myEnd,\n            this.image_,\n            // Remaining arguments to DRAW_IMAGE are in alphabetical order\n            this.anchorX_ * this.imagePixelRatio_,\n            this.anchorY_ * this.imagePixelRatio_,\n            Math.ceil(this.height_ * this.imagePixelRatio_),\n            this.opacity_,\n            this.originX_,\n            this.originY_,\n            this.rotateWithView_,\n            this.rotation_,\n            [\n                (this.scale_[0] * this.pixelRatio) / this.imagePixelRatio_,\n                (this.scale_[1] * this.pixelRatio) / this.imagePixelRatio_,\n            ],\n            Math.ceil(this.width_ * this.imagePixelRatio_),\n            this.declutterImageWithText_,\n        ]);\n        this.hitDetectionInstructions.push([\n            CanvasInstruction.DRAW_IMAGE,\n            myBegin,\n            myEnd,\n            this.hitDetectionImage_,\n            // Remaining arguments to DRAW_IMAGE are in alphabetical order\n            this.anchorX_,\n            this.anchorY_,\n            this.height_,\n            this.opacity_,\n            this.originX_,\n            this.originY_,\n            this.rotateWithView_,\n            this.rotation_,\n            this.scale_,\n            this.width_,\n            this.declutterImageWithText_,\n        ]);\n        this.endGeometry(feature);\n    };\n    /**\n     * @param {import(\"../../geom/MultiPoint.js\").default|import(\"../Feature.js\").default} multiPointGeometry MultiPoint geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasImageBuilder.prototype.drawMultiPoint = function (multiPointGeometry, feature) {\n        if (!this.image_) {\n            return;\n        }\n        this.beginGeometry(multiPointGeometry, feature);\n        var flatCoordinates = multiPointGeometry.getFlatCoordinates();\n        var stride = multiPointGeometry.getStride();\n        var myBegin = this.coordinates.length;\n        var myEnd = this.appendFlatPointCoordinates(flatCoordinates, stride);\n        this.instructions.push([\n            CanvasInstruction.DRAW_IMAGE,\n            myBegin,\n            myEnd,\n            this.image_,\n            // Remaining arguments to DRAW_IMAGE are in alphabetical order\n            this.anchorX_ * this.imagePixelRatio_,\n            this.anchorY_ * this.imagePixelRatio_,\n            Math.ceil(this.height_ * this.imagePixelRatio_),\n            this.opacity_,\n            this.originX_,\n            this.originY_,\n            this.rotateWithView_,\n            this.rotation_,\n            [\n                (this.scale_[0] * this.pixelRatio) / this.imagePixelRatio_,\n                (this.scale_[1] * this.pixelRatio) / this.imagePixelRatio_,\n            ],\n            Math.ceil(this.width_ * this.imagePixelRatio_),\n            this.declutterImageWithText_,\n        ]);\n        this.hitDetectionInstructions.push([\n            CanvasInstruction.DRAW_IMAGE,\n            myBegin,\n            myEnd,\n            this.hitDetectionImage_,\n            // Remaining arguments to DRAW_IMAGE are in alphabetical order\n            this.anchorX_,\n            this.anchorY_,\n            this.height_,\n            this.opacity_,\n            this.originX_,\n            this.originY_,\n            this.rotateWithView_,\n            this.rotation_,\n            this.scale_,\n            this.width_,\n            this.declutterImageWithText_,\n        ]);\n        this.endGeometry(feature);\n    };\n    /**\n     * @return {import(\"../canvas.js\").SerializableInstructions} the serializable instructions.\n     */\n    CanvasImageBuilder.prototype.finish = function () {\n        this.reverseHitDetectionInstructions();\n        // FIXME this doesn't really protect us against further calls to draw*Geometry\n        this.anchorX_ = undefined;\n        this.anchorY_ = undefined;\n        this.hitDetectionImage_ = null;\n        this.image_ = null;\n        this.imagePixelRatio_ = undefined;\n        this.height_ = undefined;\n        this.scale_ = undefined;\n        this.opacity_ = undefined;\n        this.originX_ = undefined;\n        this.originY_ = undefined;\n        this.rotateWithView_ = undefined;\n        this.rotation_ = undefined;\n        this.width_ = undefined;\n        return _super.prototype.finish.call(this);\n    };\n    /**\n     * @param {import(\"../../style/Image.js\").default} imageStyle Image style.\n     * @param {Object} [opt_sharedData] Shared data.\n     */\n    CanvasImageBuilder.prototype.setImageStyle = function (imageStyle, opt_sharedData) {\n        var anchor = imageStyle.getAnchor();\n        var size = imageStyle.getSize();\n        var hitDetectionImage = imageStyle.getHitDetectionImage();\n        var image = imageStyle.getImage(this.pixelRatio);\n        var origin = imageStyle.getOrigin();\n        this.imagePixelRatio_ = imageStyle.getPixelRatio(this.pixelRatio);\n        this.anchorX_ = anchor[0];\n        this.anchorY_ = anchor[1];\n        this.hitDetectionImage_ = hitDetectionImage;\n        this.image_ = image;\n        this.height_ = size[1];\n        this.opacity_ = imageStyle.getOpacity();\n        this.originX_ = origin[0] * this.imagePixelRatio_;\n        this.originY_ = origin[1] * this.imagePixelRatio_;\n        this.rotateWithView_ = imageStyle.getRotateWithView();\n        this.rotation_ = imageStyle.getRotation();\n        this.scale_ = imageStyle.getScaleArray();\n        this.width_ = size[0];\n        this.declutterImageWithText_ = opt_sharedData;\n    };\n    return CanvasImageBuilder;\n}(CanvasBuilder));\nexport default CanvasImageBuilder;\n//# sourceMappingURL=ImageBuilder.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/render/canvas/LineStringBuilder\n */\nimport CanvasBuilder from './Builder.js';\nimport CanvasInstruction, { beginPathInstruction, strokeInstruction, } from './Instruction.js';\nimport { defaultLineDash, defaultLineDashOffset } from '../canvas.js';\nvar CanvasLineStringBuilder = /** @class */ (function (_super) {\n    __extends(CanvasLineStringBuilder, _super);\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Maximum extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function CanvasLineStringBuilder(tolerance, maxExtent, resolution, pixelRatio) {\n        return _super.call(this, tolerance, maxExtent, resolution, pixelRatio) || this;\n    }\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {number} end End.\n     * @param {number} stride Stride.\n     * @private\n     * @return {number} end.\n     */\n    CanvasLineStringBuilder.prototype.drawFlatCoordinates_ = function (flatCoordinates, offset, end, stride) {\n        var myBegin = this.coordinates.length;\n        var myEnd = this.appendFlatLineCoordinates(flatCoordinates, offset, end, stride, false, false);\n        var moveToLineToInstruction = [\n            CanvasInstruction.MOVE_TO_LINE_TO,\n            myBegin,\n            myEnd,\n        ];\n        this.instructions.push(moveToLineToInstruction);\n        this.hitDetectionInstructions.push(moveToLineToInstruction);\n        return end;\n    };\n    /**\n     * @param {import(\"../../geom/LineString.js\").default|import(\"../Feature.js\").default} lineStringGeometry Line string geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasLineStringBuilder.prototype.drawLineString = function (lineStringGeometry, feature) {\n        var state = this.state;\n        var strokeStyle = state.strokeStyle;\n        var lineWidth = state.lineWidth;\n        if (strokeStyle === undefined || lineWidth === undefined) {\n            return;\n        }\n        this.updateStrokeStyle(state, this.applyStroke);\n        this.beginGeometry(lineStringGeometry, feature);\n        this.hitDetectionInstructions.push([\n            CanvasInstruction.SET_STROKE_STYLE,\n            state.strokeStyle,\n            state.lineWidth,\n            state.lineCap,\n            state.lineJoin,\n            state.miterLimit,\n            defaultLineDash,\n            defaultLineDashOffset,\n        ], beginPathInstruction);\n        var flatCoordinates = lineStringGeometry.getFlatCoordinates();\n        var stride = lineStringGeometry.getStride();\n        this.drawFlatCoordinates_(flatCoordinates, 0, flatCoordinates.length, stride);\n        this.hitDetectionInstructions.push(strokeInstruction);\n        this.endGeometry(feature);\n    };\n    /**\n     * @param {import(\"../../geom/MultiLineString.js\").default|import(\"../Feature.js\").default} multiLineStringGeometry MultiLineString geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasLineStringBuilder.prototype.drawMultiLineString = function (multiLineStringGeometry, feature) {\n        var state = this.state;\n        var strokeStyle = state.strokeStyle;\n        var lineWidth = state.lineWidth;\n        if (strokeStyle === undefined || lineWidth === undefined) {\n            return;\n        }\n        this.updateStrokeStyle(state, this.applyStroke);\n        this.beginGeometry(multiLineStringGeometry, feature);\n        this.hitDetectionInstructions.push([\n            CanvasInstruction.SET_STROKE_STYLE,\n            state.strokeStyle,\n            state.lineWidth,\n            state.lineCap,\n            state.lineJoin,\n            state.miterLimit,\n            state.lineDash,\n            state.lineDashOffset,\n        ], beginPathInstruction);\n        var ends = multiLineStringGeometry.getEnds();\n        var flatCoordinates = multiLineStringGeometry.getFlatCoordinates();\n        var stride = multiLineStringGeometry.getStride();\n        var offset = 0;\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            offset = this.drawFlatCoordinates_(flatCoordinates, offset, \n            /** @type {number} */ (ends[i]), stride);\n        }\n        this.hitDetectionInstructions.push(strokeInstruction);\n        this.endGeometry(feature);\n    };\n    /**\n     * @return {import(\"../canvas.js\").SerializableInstructions} the serializable instructions.\n     */\n    CanvasLineStringBuilder.prototype.finish = function () {\n        var state = this.state;\n        if (state.lastStroke != undefined &&\n            state.lastStroke != this.coordinates.length) {\n            this.instructions.push(strokeInstruction);\n        }\n        this.reverseHitDetectionInstructions();\n        this.state = null;\n        return _super.prototype.finish.call(this);\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     */\n    CanvasLineStringBuilder.prototype.applyStroke = function (state) {\n        if (state.lastStroke != undefined &&\n            state.lastStroke != this.coordinates.length) {\n            this.instructions.push(strokeInstruction);\n            state.lastStroke = this.coordinates.length;\n        }\n        state.lastStroke = 0;\n        _super.prototype.applyStroke.call(this, state);\n        this.instructions.push(beginPathInstruction);\n    };\n    return CanvasLineStringBuilder;\n}(CanvasBuilder));\nexport default CanvasLineStringBuilder;\n//# sourceMappingURL=LineStringBuilder.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/render/canvas/PolygonBuilder\n */\nimport CanvasBuilder from './Builder.js';\nimport CanvasInstruction, { beginPathInstruction, closePathInstruction, fillInstruction, strokeInstruction, } from './Instruction.js';\nimport { defaultFillStyle } from '../canvas.js';\nimport { snap } from '../../geom/flat/simplify.js';\nvar CanvasPolygonBuilder = /** @class */ (function (_super) {\n    __extends(CanvasPolygonBuilder, _super);\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Maximum extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function CanvasPolygonBuilder(tolerance, maxExtent, resolution, pixelRatio) {\n        return _super.call(this, tolerance, maxExtent, resolution, pixelRatio) || this;\n    }\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {Array<number>} ends Ends.\n     * @param {number} stride Stride.\n     * @private\n     * @return {number} End.\n     */\n    CanvasPolygonBuilder.prototype.drawFlatCoordinatess_ = function (flatCoordinates, offset, ends, stride) {\n        var state = this.state;\n        var fill = state.fillStyle !== undefined;\n        var stroke = state.strokeStyle !== undefined;\n        var numEnds = ends.length;\n        this.instructions.push(beginPathInstruction);\n        this.hitDetectionInstructions.push(beginPathInstruction);\n        for (var i = 0; i < numEnds; ++i) {\n            var end = ends[i];\n            var myBegin = this.coordinates.length;\n            var myEnd = this.appendFlatLineCoordinates(flatCoordinates, offset, end, stride, true, !stroke);\n            var moveToLineToInstruction = [\n                CanvasInstruction.MOVE_TO_LINE_TO,\n                myBegin,\n                myEnd,\n            ];\n            this.instructions.push(moveToLineToInstruction);\n            this.hitDetectionInstructions.push(moveToLineToInstruction);\n            if (stroke) {\n                // Performance optimization: only call closePath() when we have a stroke.\n                // Otherwise the ring is closed already (see appendFlatLineCoordinates above).\n                this.instructions.push(closePathInstruction);\n                this.hitDetectionInstructions.push(closePathInstruction);\n            }\n            offset = end;\n        }\n        if (fill) {\n            this.instructions.push(fillInstruction);\n            this.hitDetectionInstructions.push(fillInstruction);\n        }\n        if (stroke) {\n            this.instructions.push(strokeInstruction);\n            this.hitDetectionInstructions.push(strokeInstruction);\n        }\n        return offset;\n    };\n    /**\n     * @param {import(\"../../geom/Circle.js\").default} circleGeometry Circle geometry.\n     * @param {import(\"../../Feature.js\").default} feature Feature.\n     */\n    CanvasPolygonBuilder.prototype.drawCircle = function (circleGeometry, feature) {\n        var state = this.state;\n        var fillStyle = state.fillStyle;\n        var strokeStyle = state.strokeStyle;\n        if (fillStyle === undefined && strokeStyle === undefined) {\n            return;\n        }\n        this.setFillStrokeStyles_();\n        this.beginGeometry(circleGeometry, feature);\n        if (state.fillStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_FILL_STYLE,\n                defaultFillStyle,\n            ]);\n        }\n        if (state.strokeStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_STROKE_STYLE,\n                state.strokeStyle,\n                state.lineWidth,\n                state.lineCap,\n                state.lineJoin,\n                state.miterLimit,\n                state.lineDash,\n                state.lineDashOffset,\n            ]);\n        }\n        var flatCoordinates = circleGeometry.getFlatCoordinates();\n        var stride = circleGeometry.getStride();\n        var myBegin = this.coordinates.length;\n        this.appendFlatLineCoordinates(flatCoordinates, 0, flatCoordinates.length, stride, false, false);\n        var circleInstruction = [CanvasInstruction.CIRCLE, myBegin];\n        this.instructions.push(beginPathInstruction, circleInstruction);\n        this.hitDetectionInstructions.push(beginPathInstruction, circleInstruction);\n        if (state.fillStyle !== undefined) {\n            this.instructions.push(fillInstruction);\n            this.hitDetectionInstructions.push(fillInstruction);\n        }\n        if (state.strokeStyle !== undefined) {\n            this.instructions.push(strokeInstruction);\n            this.hitDetectionInstructions.push(strokeInstruction);\n        }\n        this.endGeometry(feature);\n    };\n    /**\n     * @param {import(\"../../geom/Polygon.js\").default|import(\"../Feature.js\").default} polygonGeometry Polygon geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasPolygonBuilder.prototype.drawPolygon = function (polygonGeometry, feature) {\n        var state = this.state;\n        var fillStyle = state.fillStyle;\n        var strokeStyle = state.strokeStyle;\n        if (fillStyle === undefined && strokeStyle === undefined) {\n            return;\n        }\n        this.setFillStrokeStyles_();\n        this.beginGeometry(polygonGeometry, feature);\n        if (state.fillStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_FILL_STYLE,\n                defaultFillStyle,\n            ]);\n        }\n        if (state.strokeStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_STROKE_STYLE,\n                state.strokeStyle,\n                state.lineWidth,\n                state.lineCap,\n                state.lineJoin,\n                state.miterLimit,\n                state.lineDash,\n                state.lineDashOffset,\n            ]);\n        }\n        var ends = polygonGeometry.getEnds();\n        var flatCoordinates = polygonGeometry.getOrientedFlatCoordinates();\n        var stride = polygonGeometry.getStride();\n        this.drawFlatCoordinatess_(flatCoordinates, 0, \n        /** @type {Array<number>} */ (ends), stride);\n        this.endGeometry(feature);\n    };\n    /**\n     * @param {import(\"../../geom/MultiPolygon.js\").default} multiPolygonGeometry MultiPolygon geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasPolygonBuilder.prototype.drawMultiPolygon = function (multiPolygonGeometry, feature) {\n        var state = this.state;\n        var fillStyle = state.fillStyle;\n        var strokeStyle = state.strokeStyle;\n        if (fillStyle === undefined && strokeStyle === undefined) {\n            return;\n        }\n        this.setFillStrokeStyles_();\n        this.beginGeometry(multiPolygonGeometry, feature);\n        if (state.fillStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_FILL_STYLE,\n                defaultFillStyle,\n            ]);\n        }\n        if (state.strokeStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_STROKE_STYLE,\n                state.strokeStyle,\n                state.lineWidth,\n                state.lineCap,\n                state.lineJoin,\n                state.miterLimit,\n                state.lineDash,\n                state.lineDashOffset,\n            ]);\n        }\n        var endss = multiPolygonGeometry.getEndss();\n        var flatCoordinates = multiPolygonGeometry.getOrientedFlatCoordinates();\n        var stride = multiPolygonGeometry.getStride();\n        var offset = 0;\n        for (var i = 0, ii = endss.length; i < ii; ++i) {\n            offset = this.drawFlatCoordinatess_(flatCoordinates, offset, endss[i], stride);\n        }\n        this.endGeometry(feature);\n    };\n    /**\n     * @return {import(\"../canvas.js\").SerializableInstructions} the serializable instructions.\n     */\n    CanvasPolygonBuilder.prototype.finish = function () {\n        this.reverseHitDetectionInstructions();\n        this.state = null;\n        // We want to preserve topology when drawing polygons.  Polygons are\n        // simplified using quantization and point elimination. However, we might\n        // have received a mix of quantized and non-quantized geometries, so ensure\n        // that all are quantized by quantizing all coordinates in the batch.\n        var tolerance = this.tolerance;\n        if (tolerance !== 0) {\n            var coordinates = this.coordinates;\n            for (var i = 0, ii = coordinates.length; i < ii; ++i) {\n                coordinates[i] = snap(coordinates[i], tolerance);\n            }\n        }\n        return _super.prototype.finish.call(this);\n    };\n    /**\n     * @private\n     */\n    CanvasPolygonBuilder.prototype.setFillStrokeStyles_ = function () {\n        var state = this.state;\n        var fillStyle = state.fillStyle;\n        if (fillStyle !== undefined) {\n            this.updateFillStyle(state, this.createFill);\n        }\n        if (state.strokeStyle !== undefined) {\n            this.updateStrokeStyle(state, this.applyStroke);\n        }\n    };\n    return CanvasPolygonBuilder;\n}(CanvasBuilder));\nexport default CanvasPolygonBuilder;\n//# sourceMappingURL=PolygonBuilder.js.map","/**\n * @module ol/geom/flat/straightchunk\n */\n/**\n * @param {number} maxAngle Maximum acceptable angle delta between segments.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {Array<number>} Start and end of the first suitable chunk of the\n * given `flatCoordinates`.\n */\nexport function matchingChunk(maxAngle, flatCoordinates, offset, end, stride) {\n    var chunkStart = offset;\n    var chunkEnd = offset;\n    var chunkM = 0;\n    var m = 0;\n    var start = offset;\n    var acos, i, m12, m23, x1, y1, x12, y12, x23, y23;\n    for (i = offset; i < end; i += stride) {\n        var x2 = flatCoordinates[i];\n        var y2 = flatCoordinates[i + 1];\n        if (x1 !== undefined) {\n            x23 = x2 - x1;\n            y23 = y2 - y1;\n            m23 = Math.sqrt(x23 * x23 + y23 * y23);\n            if (x12 !== undefined) {\n                m += m12;\n                acos = Math.acos((x12 * x23 + y12 * y23) / (m12 * m23));\n                if (acos > maxAngle) {\n                    if (m > chunkM) {\n                        chunkM = m;\n                        chunkStart = start;\n                        chunkEnd = i;\n                    }\n                    m = 0;\n                    start = i - stride;\n                }\n            }\n            m12 = m23;\n            x12 = x23;\n            y12 = y23;\n        }\n        x1 = x2;\n        y1 = y2;\n    }\n    m += m23;\n    return m > chunkM ? [start, i] : [chunkStart, chunkEnd];\n}\n//# sourceMappingURL=straightchunk.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/render/canvas/TextBuilder\n */\nimport CanvasBuilder from './Builder.js';\nimport CanvasInstruction from './Instruction.js';\nimport GeometryType from '../../geom/GeometryType.js';\nimport TextPlacement from '../../style/TextPlacement.js';\nimport { asColorLike } from '../../colorlike.js';\nimport { defaultFillStyle, defaultFont, defaultLineCap, defaultLineDash, defaultLineDashOffset, defaultLineJoin, defaultLineWidth, defaultMiterLimit, defaultPadding, defaultStrokeStyle, defaultTextAlign, defaultTextBaseline, registerFont, } from '../canvas.js';\nimport { getUid } from '../../util.js';\nimport { intersects } from '../../extent.js';\nimport { matchingChunk } from '../../geom/flat/straightchunk.js';\n/**\n * @const\n * @enum {number}\n */\nexport var TEXT_ALIGN = {\n    'left': 0,\n    'end': 0,\n    'center': 0.5,\n    'right': 1,\n    'start': 1,\n    'top': 0,\n    'middle': 0.5,\n    'hanging': 0.2,\n    'alphabetic': 0.8,\n    'ideographic': 0.8,\n    'bottom': 1,\n};\nvar CanvasTextBuilder = /** @class */ (function (_super) {\n    __extends(CanvasTextBuilder, _super);\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Maximum extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function CanvasTextBuilder(tolerance, maxExtent, resolution, pixelRatio) {\n        var _this = _super.call(this, tolerance, maxExtent, resolution, pixelRatio) || this;\n        /**\n         * @private\n         * @type {Array<HTMLCanvasElement>}\n         */\n        _this.labels_ = null;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.text_ = '';\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textOffsetX_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textOffsetY_ = 0;\n        /**\n         * @private\n         * @type {boolean|undefined}\n         */\n        _this.textRotateWithView_ = undefined;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textRotation_ = 0;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").FillState}\n         */\n        _this.textFillState_ = null;\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").FillState>}\n         */\n        _this.fillStates = {};\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").StrokeState}\n         */\n        _this.textStrokeState_ = null;\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").StrokeState>}\n         */\n        _this.strokeStates = {};\n        /**\n         * @private\n         * @type {import(\"../canvas.js\").TextState}\n         */\n        _this.textState_ = /** @type {import(\"../canvas.js\").TextState} */ ({});\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").TextState>}\n         */\n        _this.textStates = {};\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.textKey_ = '';\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.fillKey_ = '';\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.strokeKey_ = '';\n        /**\n         * Data shared with an image builder for combined decluttering.\n         * @private\n         * @type {import(\"../canvas.js\").DeclutterImageWithText}\n         */\n        _this.declutterImageWithText_ = undefined;\n        return _this;\n    }\n    /**\n     * @return {import(\"../canvas.js\").SerializableInstructions} the serializable instructions.\n     */\n    CanvasTextBuilder.prototype.finish = function () {\n        var instructions = _super.prototype.finish.call(this);\n        instructions.textStates = this.textStates;\n        instructions.fillStates = this.fillStates;\n        instructions.strokeStates = this.strokeStates;\n        return instructions;\n    };\n    /**\n     * @param {import(\"../../geom/SimpleGeometry.js\").default|import(\"../Feature.js\").default} geometry Geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasTextBuilder.prototype.drawText = function (geometry, feature) {\n        var fillState = this.textFillState_;\n        var strokeState = this.textStrokeState_;\n        var textState = this.textState_;\n        if (this.text_ === '' || !textState || (!fillState && !strokeState)) {\n            return;\n        }\n        var coordinates = this.coordinates;\n        var begin = coordinates.length;\n        var geometryType = geometry.getType();\n        var flatCoordinates = null;\n        var stride = geometry.getStride();\n        if (textState.placement === TextPlacement.LINE &&\n            (geometryType == GeometryType.LINE_STRING ||\n                geometryType == GeometryType.MULTI_LINE_STRING ||\n                geometryType == GeometryType.POLYGON ||\n                geometryType == GeometryType.MULTI_POLYGON)) {\n            if (!intersects(this.getBufferedMaxExtent(), geometry.getExtent())) {\n                return;\n            }\n            var ends = void 0;\n            flatCoordinates = geometry.getFlatCoordinates();\n            if (geometryType == GeometryType.LINE_STRING) {\n                ends = [flatCoordinates.length];\n            }\n            else if (geometryType == GeometryType.MULTI_LINE_STRING) {\n                ends = /** @type {import(\"../../geom/MultiLineString.js\").default} */ (geometry).getEnds();\n            }\n            else if (geometryType == GeometryType.POLYGON) {\n                ends = /** @type {import(\"../../geom/Polygon.js\").default} */ (geometry)\n                    .getEnds()\n                    .slice(0, 1);\n            }\n            else if (geometryType == GeometryType.MULTI_POLYGON) {\n                var endss = \n                /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry).getEndss();\n                ends = [];\n                for (var i = 0, ii = endss.length; i < ii; ++i) {\n                    ends.push(endss[i][0]);\n                }\n            }\n            this.beginGeometry(geometry, feature);\n            var textAlign = textState.textAlign;\n            var flatOffset = 0;\n            var flatEnd = void 0;\n            for (var o = 0, oo = ends.length; o < oo; ++o) {\n                if (textAlign == undefined) {\n                    var range = matchingChunk(textState.maxAngle, flatCoordinates, flatOffset, ends[o], stride);\n                    flatOffset = range[0];\n                    flatEnd = range[1];\n                }\n                else {\n                    flatEnd = ends[o];\n                }\n                for (var i = flatOffset; i < flatEnd; i += stride) {\n                    coordinates.push(flatCoordinates[i], flatCoordinates[i + 1]);\n                }\n                var end = coordinates.length;\n                flatOffset = ends[o];\n                this.drawChars_(begin, end);\n                begin = end;\n            }\n            this.endGeometry(feature);\n        }\n        else {\n            var geometryWidths = textState.overflow ? null : [];\n            switch (geometryType) {\n                case GeometryType.POINT:\n                case GeometryType.MULTI_POINT:\n                    flatCoordinates =\n                        /** @type {import(\"../../geom/MultiPoint.js\").default} */ (geometry).getFlatCoordinates();\n                    break;\n                case GeometryType.LINE_STRING:\n                    flatCoordinates =\n                        /** @type {import(\"../../geom/LineString.js\").default} */ (geometry).getFlatMidpoint();\n                    break;\n                case GeometryType.CIRCLE:\n                    flatCoordinates =\n                        /** @type {import(\"../../geom/Circle.js\").default} */ (geometry).getCenter();\n                    break;\n                case GeometryType.MULTI_LINE_STRING:\n                    flatCoordinates =\n                        /** @type {import(\"../../geom/MultiLineString.js\").default} */ (geometry).getFlatMidpoints();\n                    stride = 2;\n                    break;\n                case GeometryType.POLYGON:\n                    flatCoordinates =\n                        /** @type {import(\"../../geom/Polygon.js\").default} */ (geometry).getFlatInteriorPoint();\n                    if (!textState.overflow) {\n                        geometryWidths.push(flatCoordinates[2] / this.resolution);\n                    }\n                    stride = 3;\n                    break;\n                case GeometryType.MULTI_POLYGON:\n                    var interiorPoints = \n                    /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry).getFlatInteriorPoints();\n                    flatCoordinates = [];\n                    for (var i = 0, ii = interiorPoints.length; i < ii; i += 3) {\n                        if (!textState.overflow) {\n                            geometryWidths.push(interiorPoints[i + 2] / this.resolution);\n                        }\n                        flatCoordinates.push(interiorPoints[i], interiorPoints[i + 1]);\n                    }\n                    if (flatCoordinates.length === 0) {\n                        return;\n                    }\n                    stride = 2;\n                    break;\n                default:\n            }\n            var end = this.appendFlatPointCoordinates(flatCoordinates, stride);\n            if (end === begin) {\n                return;\n            }\n            if (geometryWidths &&\n                (end - begin) / 2 !== flatCoordinates.length / stride) {\n                var beg_1 = begin / 2;\n                geometryWidths = geometryWidths.filter(function (w, i) {\n                    var keep = coordinates[(beg_1 + i) * 2] === flatCoordinates[i * stride] &&\n                        coordinates[(beg_1 + i) * 2 + 1] === flatCoordinates[i * stride + 1];\n                    if (!keep) {\n                        --beg_1;\n                    }\n                    return keep;\n                });\n            }\n            this.saveTextStates_();\n            if (textState.backgroundFill || textState.backgroundStroke) {\n                this.setFillStrokeStyle(textState.backgroundFill, textState.backgroundStroke);\n                if (textState.backgroundFill) {\n                    this.updateFillStyle(this.state, this.createFill);\n                    this.hitDetectionInstructions.push(this.createFill(this.state));\n                }\n                if (textState.backgroundStroke) {\n                    this.updateStrokeStyle(this.state, this.applyStroke);\n                    this.hitDetectionInstructions.push(this.createStroke(this.state));\n                }\n            }\n            this.beginGeometry(geometry, feature);\n            // adjust padding for negative scale\n            var padding = textState.padding;\n            if (padding != defaultPadding &&\n                (textState.scale[0] < 0 || textState.scale[1] < 0)) {\n                var p0 = textState.padding[0];\n                var p1 = textState.padding[1];\n                var p2 = textState.padding[2];\n                var p3 = textState.padding[3];\n                if (textState.scale[0] < 0) {\n                    p1 = -p1;\n                    p3 = -p3;\n                }\n                if (textState.scale[1] < 0) {\n                    p0 = -p0;\n                    p2 = -p2;\n                }\n                padding = [p0, p1, p2, p3];\n            }\n            // The image is unknown at this stage so we pass null; it will be computed at render time.\n            // For clarity, we pass NaN for offsetX, offsetY, width and height, which will be computed at\n            // render time.\n            var pixelRatio_1 = this.pixelRatio;\n            this.instructions.push([\n                CanvasInstruction.DRAW_IMAGE,\n                begin,\n                end,\n                null,\n                NaN,\n                NaN,\n                NaN,\n                1,\n                0,\n                0,\n                this.textRotateWithView_,\n                this.textRotation_,\n                [1, 1],\n                NaN,\n                this.declutterImageWithText_,\n                padding == defaultPadding\n                    ? defaultPadding\n                    : padding.map(function (p) {\n                        return p * pixelRatio_1;\n                    }),\n                !!textState.backgroundFill,\n                !!textState.backgroundStroke,\n                this.text_,\n                this.textKey_,\n                this.strokeKey_,\n                this.fillKey_,\n                this.textOffsetX_,\n                this.textOffsetY_,\n                geometryWidths,\n            ]);\n            var scale = 1 / pixelRatio_1;\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.DRAW_IMAGE,\n                begin,\n                end,\n                null,\n                NaN,\n                NaN,\n                NaN,\n                1,\n                0,\n                0,\n                this.textRotateWithView_,\n                this.textRotation_,\n                [scale, scale],\n                NaN,\n                this.declutterImageWithText_,\n                padding,\n                !!textState.backgroundFill,\n                !!textState.backgroundStroke,\n                this.text_,\n                this.textKey_,\n                this.strokeKey_,\n                this.fillKey_,\n                this.textOffsetX_,\n                this.textOffsetY_,\n                geometryWidths,\n            ]);\n            this.endGeometry(feature);\n        }\n    };\n    /**\n     * @private\n     */\n    CanvasTextBuilder.prototype.saveTextStates_ = function () {\n        var strokeState = this.textStrokeState_;\n        var textState = this.textState_;\n        var fillState = this.textFillState_;\n        var strokeKey = this.strokeKey_;\n        if (strokeState) {\n            if (!(strokeKey in this.strokeStates)) {\n                this.strokeStates[strokeKey] = {\n                    strokeStyle: strokeState.strokeStyle,\n                    lineCap: strokeState.lineCap,\n                    lineDashOffset: strokeState.lineDashOffset,\n                    lineWidth: strokeState.lineWidth,\n                    lineJoin: strokeState.lineJoin,\n                    miterLimit: strokeState.miterLimit,\n                    lineDash: strokeState.lineDash,\n                };\n            }\n        }\n        var textKey = this.textKey_;\n        if (!(textKey in this.textStates)) {\n            this.textStates[textKey] = {\n                font: textState.font,\n                textAlign: textState.textAlign || defaultTextAlign,\n                textBaseline: textState.textBaseline || defaultTextBaseline,\n                scale: textState.scale,\n            };\n        }\n        var fillKey = this.fillKey_;\n        if (fillState) {\n            if (!(fillKey in this.fillStates)) {\n                this.fillStates[fillKey] = {\n                    fillStyle: fillState.fillStyle,\n                };\n            }\n        }\n    };\n    /**\n     * @private\n     * @param {number} begin Begin.\n     * @param {number} end End.\n     */\n    CanvasTextBuilder.prototype.drawChars_ = function (begin, end) {\n        var strokeState = this.textStrokeState_;\n        var textState = this.textState_;\n        var strokeKey = this.strokeKey_;\n        var textKey = this.textKey_;\n        var fillKey = this.fillKey_;\n        this.saveTextStates_();\n        var pixelRatio = this.pixelRatio;\n        var baseline = TEXT_ALIGN[textState.textBaseline];\n        var offsetY = this.textOffsetY_ * pixelRatio;\n        var text = this.text_;\n        var strokeWidth = strokeState\n            ? (strokeState.lineWidth * Math.abs(textState.scale[0])) / 2\n            : 0;\n        this.instructions.push([\n            CanvasInstruction.DRAW_CHARS,\n            begin,\n            end,\n            baseline,\n            textState.overflow,\n            fillKey,\n            textState.maxAngle,\n            pixelRatio,\n            offsetY,\n            strokeKey,\n            strokeWidth * pixelRatio,\n            text,\n            textKey,\n            1,\n        ]);\n        this.hitDetectionInstructions.push([\n            CanvasInstruction.DRAW_CHARS,\n            begin,\n            end,\n            baseline,\n            textState.overflow,\n            fillKey,\n            textState.maxAngle,\n            1,\n            offsetY,\n            strokeKey,\n            strokeWidth,\n            text,\n            textKey,\n            1 / pixelRatio,\n        ]);\n    };\n    /**\n     * @param {import(\"../../style/Text.js\").default} textStyle Text style.\n     * @param {Object} [opt_sharedData] Shared data.\n     */\n    CanvasTextBuilder.prototype.setTextStyle = function (textStyle, opt_sharedData) {\n        var textState, fillState, strokeState;\n        if (!textStyle) {\n            this.text_ = '';\n        }\n        else {\n            var textFillStyle = textStyle.getFill();\n            if (!textFillStyle) {\n                fillState = null;\n                this.textFillState_ = fillState;\n            }\n            else {\n                fillState = this.textFillState_;\n                if (!fillState) {\n                    fillState = /** @type {import(\"../canvas.js\").FillState} */ ({});\n                    this.textFillState_ = fillState;\n                }\n                fillState.fillStyle = asColorLike(textFillStyle.getColor() || defaultFillStyle);\n            }\n            var textStrokeStyle = textStyle.getStroke();\n            if (!textStrokeStyle) {\n                strokeState = null;\n                this.textStrokeState_ = strokeState;\n            }\n            else {\n                strokeState = this.textStrokeState_;\n                if (!strokeState) {\n                    strokeState = /** @type {import(\"../canvas.js\").StrokeState} */ ({});\n                    this.textStrokeState_ = strokeState;\n                }\n                var lineDash = textStrokeStyle.getLineDash();\n                var lineDashOffset = textStrokeStyle.getLineDashOffset();\n                var lineWidth = textStrokeStyle.getWidth();\n                var miterLimit = textStrokeStyle.getMiterLimit();\n                strokeState.lineCap = textStrokeStyle.getLineCap() || defaultLineCap;\n                strokeState.lineDash = lineDash ? lineDash.slice() : defaultLineDash;\n                strokeState.lineDashOffset =\n                    lineDashOffset === undefined ? defaultLineDashOffset : lineDashOffset;\n                strokeState.lineJoin = textStrokeStyle.getLineJoin() || defaultLineJoin;\n                strokeState.lineWidth =\n                    lineWidth === undefined ? defaultLineWidth : lineWidth;\n                strokeState.miterLimit =\n                    miterLimit === undefined ? defaultMiterLimit : miterLimit;\n                strokeState.strokeStyle = asColorLike(textStrokeStyle.getColor() || defaultStrokeStyle);\n            }\n            textState = this.textState_;\n            var font = textStyle.getFont() || defaultFont;\n            registerFont(font);\n            var textScale = textStyle.getScaleArray();\n            textState.overflow = textStyle.getOverflow();\n            textState.font = font;\n            textState.maxAngle = textStyle.getMaxAngle();\n            textState.placement = textStyle.getPlacement();\n            textState.textAlign = textStyle.getTextAlign();\n            textState.textBaseline =\n                textStyle.getTextBaseline() || defaultTextBaseline;\n            textState.backgroundFill = textStyle.getBackgroundFill();\n            textState.backgroundStroke = textStyle.getBackgroundStroke();\n            textState.padding = textStyle.getPadding() || defaultPadding;\n            textState.scale = textScale === undefined ? [1, 1] : textScale;\n            var textOffsetX = textStyle.getOffsetX();\n            var textOffsetY = textStyle.getOffsetY();\n            var textRotateWithView = textStyle.getRotateWithView();\n            var textRotation = textStyle.getRotation();\n            this.text_ = textStyle.getText() || '';\n            this.textOffsetX_ = textOffsetX === undefined ? 0 : textOffsetX;\n            this.textOffsetY_ = textOffsetY === undefined ? 0 : textOffsetY;\n            this.textRotateWithView_ =\n                textRotateWithView === undefined ? false : textRotateWithView;\n            this.textRotation_ = textRotation === undefined ? 0 : textRotation;\n            this.strokeKey_ = strokeState\n                ? (typeof strokeState.strokeStyle == 'string'\n                    ? strokeState.strokeStyle\n                    : getUid(strokeState.strokeStyle)) +\n                    strokeState.lineCap +\n                    strokeState.lineDashOffset +\n                    '|' +\n                    strokeState.lineWidth +\n                    strokeState.lineJoin +\n                    strokeState.miterLimit +\n                    '[' +\n                    strokeState.lineDash.join() +\n                    ']'\n                : '';\n            this.textKey_ =\n                textState.font +\n                    textState.scale +\n                    (textState.textAlign || '?') +\n                    (textState.textBaseline || '?');\n            this.fillKey_ = fillState\n                ? typeof fillState.fillStyle == 'string'\n                    ? fillState.fillStyle\n                    : '|' + getUid(fillState.fillStyle)\n                : '';\n        }\n        this.declutterImageWithText_ = opt_sharedData;\n    };\n    return CanvasTextBuilder;\n}(CanvasBuilder));\nexport default CanvasTextBuilder;\n//# sourceMappingURL=TextBuilder.js.map","/**\n * @module ol/render/canvas/BuilderGroup\n */\nimport Builder from './Builder.js';\nimport ImageBuilder from './ImageBuilder.js';\nimport LineStringBuilder from './LineStringBuilder.js';\nimport PolygonBuilder from './PolygonBuilder.js';\nimport TextBuilder from './TextBuilder.js';\n/**\n * @type {Object<import(\"./BuilderType\").default, typeof Builder>}\n */\nvar BATCH_CONSTRUCTORS = {\n    'Circle': PolygonBuilder,\n    'Default': Builder,\n    'Image': ImageBuilder,\n    'LineString': LineStringBuilder,\n    'Polygon': PolygonBuilder,\n    'Text': TextBuilder,\n};\nvar BuilderGroup = /** @class */ (function () {\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Max extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function BuilderGroup(tolerance, maxExtent, resolution, pixelRatio) {\n        /**\n         * @private\n         * @type {number}\n         */\n        this.tolerance_ = tolerance;\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        this.maxExtent_ = maxExtent;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.pixelRatio_ = pixelRatio;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.resolution_ = resolution;\n        /**\n         * @private\n         * @type {!Object<string, !Object<import(\"./BuilderType\").default, Builder>>}\n         */\n        this.buildersByZIndex_ = {};\n    }\n    /**\n     * @return {!Object<string, !Object<import(\"./BuilderType\").default, import(\"./Builder.js\").SerializableInstructions>>} The serializable instructions\n     */\n    BuilderGroup.prototype.finish = function () {\n        var builderInstructions = {};\n        for (var zKey in this.buildersByZIndex_) {\n            builderInstructions[zKey] = builderInstructions[zKey] || {};\n            var builders = this.buildersByZIndex_[zKey];\n            for (var builderKey in builders) {\n                var builderInstruction = builders[builderKey].finish();\n                builderInstructions[zKey][builderKey] = builderInstruction;\n            }\n        }\n        return builderInstructions;\n    };\n    /**\n     * @param {number|undefined} zIndex Z index.\n     * @param {import(\"./BuilderType.js\").default} builderType Replay type.\n     * @return {import(\"../VectorContext.js\").default} Replay.\n     */\n    BuilderGroup.prototype.getBuilder = function (zIndex, builderType) {\n        var zIndexKey = zIndex !== undefined ? zIndex.toString() : '0';\n        var replays = this.buildersByZIndex_[zIndexKey];\n        if (replays === undefined) {\n            replays = {};\n            this.buildersByZIndex_[zIndexKey] = replays;\n        }\n        var replay = replays[builderType];\n        if (replay === undefined) {\n            var Constructor = BATCH_CONSTRUCTORS[builderType];\n            replay = new Constructor(this.tolerance_, this.maxExtent_, this.resolution_, this.pixelRatio_);\n            replays[builderType] = replay;\n        }\n        return replay;\n    };\n    return BuilderGroup;\n}());\nexport default BuilderGroup;\n//# sourceMappingURL=BuilderGroup.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/Layer\n */\nimport EventType from '../events/EventType.js';\nimport ImageState from '../ImageState.js';\nimport Observable from '../Observable.js';\nimport SourceState from '../source/State.js';\nimport { abstract } from '../util.js';\n/**\n * @template {import(\"../layer/Layer.js\").default} LayerType\n */\nvar LayerRenderer = /** @class */ (function (_super) {\n    __extends(LayerRenderer, _super);\n    /**\n     * @param {LayerType} layer Layer.\n     */\n    function LayerRenderer(layer) {\n        var _this = _super.call(this) || this;\n        /** @private */\n        _this.boundHandleImageChange_ = _this.handleImageChange_.bind(_this);\n        /**\n         * @protected\n         * @type {LayerType}\n         */\n        _this.layer_ = layer;\n        /**\n         * @type {import(\"../render/canvas/ExecutorGroup\").default}\n         */\n        _this.declutterExecutorGroup = null;\n        return _this;\n    }\n    /**\n     * Asynchronous layer level hit detection.\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../Feature\").default>>} Promise that resolves with\n     * an array of features.\n     */\n    LayerRenderer.prototype.getFeatures = function (pixel) {\n        return abstract();\n    };\n    /**\n     * Determine whether render should be called.\n     * @abstract\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    LayerRenderer.prototype.prepareFrame = function (frameState) {\n        return abstract();\n    };\n    /**\n     * Render the layer.\n     * @abstract\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target that may be used to render content to.\n     * @return {HTMLElement} The rendered element.\n     */\n    LayerRenderer.prototype.renderFrame = function (frameState, target) {\n        return abstract();\n    };\n    /**\n     * @param {Object<number, Object<string, import(\"../Tile.js\").default>>} tiles Lookup of loaded tiles by zoom level.\n     * @param {number} zoom Zoom level.\n     * @param {import(\"../Tile.js\").default} tile Tile.\n     * @return {boolean|void} If `false`, the tile will not be considered loaded.\n     */\n    LayerRenderer.prototype.loadedTileCallback = function (tiles, zoom, tile) {\n        if (!tiles[zoom]) {\n            tiles[zoom] = {};\n        }\n        tiles[zoom][tile.tileCoord.toString()] = tile;\n        return undefined;\n    };\n    /**\n     * Create a function that adds loaded tiles to the tile lookup.\n     * @param {import(\"../source/Tile.js\").default} source Tile source.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection of the tiles.\n     * @param {Object<number, Object<string, import(\"../Tile.js\").default>>} tiles Lookup of loaded tiles by zoom level.\n     * @return {function(number, import(\"../TileRange.js\").default):boolean} A function that can be\n     *     called with a zoom level and a tile range to add loaded tiles to the lookup.\n     * @protected\n     */\n    LayerRenderer.prototype.createLoadedTileFinder = function (source, projection, tiles) {\n        return (\n        /**\n         * @param {number} zoom Zoom level.\n         * @param {import(\"../TileRange.js\").default} tileRange Tile range.\n         * @return {boolean} The tile range is fully loaded.\n         * @this {LayerRenderer}\n         */\n        function (zoom, tileRange) {\n            var callback = this.loadedTileCallback.bind(this, tiles, zoom);\n            return source.forEachLoadedTile(projection, zoom, tileRange, callback);\n        }.bind(this));\n    };\n    /**\n     * @abstract\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {import(\"./vector.js\").FeatureCallback<T>} callback Feature callback.\n     * @param {Array<import(\"./Map.js\").HitMatch<T>>} matches The hit detected matches with tolerance.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    LayerRenderer.prototype.forEachFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, callback, matches) {\n        return undefined;\n    };\n    /**\n     * @abstract\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @return {Uint8ClampedArray|Uint8Array} The result.  If there is no data at the pixel\n     *    location, null will be returned.  If there is data, but pixel values cannot be\n     *    returned, and empty array will be returned.\n     */\n    LayerRenderer.prototype.getDataAtPixel = function (pixel, frameState, hitTolerance) {\n        return null;\n    };\n    /**\n     * @return {LayerType} Layer.\n     */\n    LayerRenderer.prototype.getLayer = function () {\n        return this.layer_;\n    };\n    /**\n     * Perform action necessary to get the layer rendered after new fonts have loaded\n     * @abstract\n     */\n    LayerRenderer.prototype.handleFontsChanged = function () { };\n    /**\n     * Handle changes in image state.\n     * @param {import(\"../events/Event.js\").default} event Image change event.\n     * @private\n     */\n    LayerRenderer.prototype.handleImageChange_ = function (event) {\n        var image = /** @type {import(\"../Image.js\").default} */ (event.target);\n        if (image.getState() === ImageState.LOADED) {\n            this.renderIfReadyAndVisible();\n        }\n    };\n    /**\n     * Load the image if not already loaded, and register the image change\n     * listener if needed.\n     * @param {import(\"../ImageBase.js\").default} image Image.\n     * @return {boolean} `true` if the image is already loaded, `false` otherwise.\n     * @protected\n     */\n    LayerRenderer.prototype.loadImage = function (image) {\n        var imageState = image.getState();\n        if (imageState != ImageState.LOADED && imageState != ImageState.ERROR) {\n            image.addEventListener(EventType.CHANGE, this.boundHandleImageChange_);\n        }\n        if (imageState == ImageState.IDLE) {\n            image.load();\n            imageState = image.getState();\n        }\n        return imageState == ImageState.LOADED;\n    };\n    /**\n     * @protected\n     */\n    LayerRenderer.prototype.renderIfReadyAndVisible = function () {\n        var layer = this.getLayer();\n        if (layer.getVisible() && layer.getSourceState() == SourceState.READY) {\n            layer.changed();\n        }\n    };\n    return LayerRenderer;\n}(Observable));\nexport default LayerRenderer;\n//# sourceMappingURL=Layer.js.map","/**\n * @module ol/render/Event\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport Event from '../events/Event.js';\nvar RenderEvent = /** @class */ (function (_super) {\n    __extends(RenderEvent, _super);\n    /**\n     * @param {import(\"./EventType.js\").default} type Type.\n     * @param {import(\"../transform.js\").Transform} [opt_inversePixelTransform] Transform for\n     *     CSS pixels to rendered pixels.\n     * @param {import(\"../PluggableMap.js\").FrameState} [opt_frameState] Frame state.\n     * @param {?(CanvasRenderingContext2D|WebGLRenderingContext)} [opt_context] Context.\n     */\n    function RenderEvent(type, opt_inversePixelTransform, opt_frameState, opt_context) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * Transform from CSS pixels (relative to the top-left corner of the map viewport)\n         * to rendered pixels on this event's `context`. Only available when a Canvas renderer is used, null otherwise.\n         * @type {import(\"../transform.js\").Transform|undefined}\n         * @api\n         */\n        _this.inversePixelTransform = opt_inversePixelTransform;\n        /**\n         * An object representing the current render frame state.\n         * @type {import(\"../PluggableMap.js\").FrameState|undefined}\n         * @api\n         */\n        _this.frameState = opt_frameState;\n        /**\n         * Canvas context. Not available when the event is dispatched by the map. For Canvas 2D layers,\n         * the context will be the 2D rendering context.  For WebGL layers, the context will be the WebGL\n         * context.\n         * @type {CanvasRenderingContext2D|WebGLRenderingContext|undefined}\n         * @api\n         */\n        _this.context = opt_context;\n        return _this;\n    }\n    return RenderEvent;\n}(Event));\nexport default RenderEvent;\n//# sourceMappingURL=Event.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/canvas/Layer\n */\nimport LayerRenderer from '../Layer.js';\nimport RenderEvent from '../../render/Event.js';\nimport RenderEventType from '../../render/EventType.js';\nimport { apply as applyTransform, compose as composeTransform, create as createTransform, } from '../../transform.js';\nimport { asArray } from '../../color.js';\nimport { containsCoordinate, getBottomLeft, getBottomRight, getTopLeft, getTopRight, } from '../../extent.js';\nimport { createCanvasContext2D } from '../../dom.js';\nimport { equals } from '../../array.js';\n/**\n * @abstract\n * @template {import(\"../../layer/Layer.js\").default} LayerType\n * @extends {LayerRenderer<LayerType>}\n */\nvar CanvasLayerRenderer = /** @class */ (function (_super) {\n    __extends(CanvasLayerRenderer, _super);\n    /**\n     * @param {LayerType} layer Layer.\n     */\n    function CanvasLayerRenderer(layer) {\n        var _this = _super.call(this, layer) || this;\n        /**\n         * @protected\n         * @type {HTMLElement}\n         */\n        _this.container = null;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.renderedResolution;\n        /**\n         * A temporary transform.  The values in this transform should only be used in a\n         * function that sets the values.\n         * @protected\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.tempTransform = createTransform();\n        /**\n         * The transform for rendered pixels to viewport CSS pixels.  This transform must\n         * be set when rendering a frame and may be used by other functions after rendering.\n         * @protected\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.pixelTransform = createTransform();\n        /**\n         * The transform for viewport CSS pixels to rendered pixels.  This transform must\n         * be set when rendering a frame and may be used by other functions after rendering.\n         * @protected\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.inversePixelTransform = createTransform();\n        /**\n         * @type {CanvasRenderingContext2D}\n         */\n        _this.context = null;\n        /**\n         * @type {boolean}\n         */\n        _this.containerReused = false;\n        /**\n         * @private\n         * @type {CanvasRenderingContext2D}\n         */\n        _this.pixelContext_ = null;\n        return _this;\n    }\n    /**\n     * @param {import('../../PluggableMap.js').FrameState} frameState Frame state.\n     * @return {string} Background color.\n     */\n    CanvasLayerRenderer.prototype.getBackground = function (frameState) {\n        var layer = this.getLayer();\n        var background = layer.getBackground();\n        if (typeof background === 'function') {\n            background = background(frameState.viewState.resolution);\n        }\n        return background || undefined;\n    };\n    /**\n     * Get a rendering container from an existing target, if compatible.\n     * @param {HTMLElement} target Potential render target.\n     * @param {string} transform CSS Transform.\n     * @param {number} opacity Opacity.\n     * @param {string} [opt_backgroundColor] Background color.\n     */\n    CanvasLayerRenderer.prototype.useContainer = function (target, transform, opacity, opt_backgroundColor) {\n        var layerClassName = this.getLayer().getClassName();\n        var container, context;\n        if (target &&\n            target.className === layerClassName &&\n            target.style.opacity === '' &&\n            opacity === 1 &&\n            (!opt_backgroundColor ||\n                equals(asArray(target.style.backgroundColor), asArray(opt_backgroundColor)))) {\n            var canvas = target.firstElementChild;\n            if (canvas instanceof HTMLCanvasElement) {\n                context = canvas.getContext('2d');\n            }\n        }\n        if (context && context.canvas.style.transform === transform) {\n            // Container of the previous layer renderer can be used.\n            this.container = target;\n            this.context = context;\n            this.containerReused = true;\n        }\n        else if (this.containerReused) {\n            // Previously reused container cannot be used any more.\n            this.container = null;\n            this.context = null;\n            this.containerReused = false;\n        }\n        if (!this.container) {\n            container = document.createElement('div');\n            container.className = layerClassName;\n            var style = container.style;\n            style.position = 'absolute';\n            style.width = '100%';\n            style.height = '100%';\n            if (opt_backgroundColor) {\n                style.backgroundColor = opt_backgroundColor;\n            }\n            context = createCanvasContext2D();\n            var canvas = context.canvas;\n            container.appendChild(canvas);\n            style = canvas.style;\n            style.position = 'absolute';\n            style.left = '0';\n            style.transformOrigin = 'top left';\n            this.container = container;\n            this.context = context;\n        }\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"../../extent.js\").Extent} extent Clip extent.\n     * @protected\n     */\n    CanvasLayerRenderer.prototype.clipUnrotated = function (context, frameState, extent) {\n        var topLeft = getTopLeft(extent);\n        var topRight = getTopRight(extent);\n        var bottomRight = getBottomRight(extent);\n        var bottomLeft = getBottomLeft(extent);\n        applyTransform(frameState.coordinateToPixelTransform, topLeft);\n        applyTransform(frameState.coordinateToPixelTransform, topRight);\n        applyTransform(frameState.coordinateToPixelTransform, bottomRight);\n        applyTransform(frameState.coordinateToPixelTransform, bottomLeft);\n        var inverted = this.inversePixelTransform;\n        applyTransform(inverted, topLeft);\n        applyTransform(inverted, topRight);\n        applyTransform(inverted, bottomRight);\n        applyTransform(inverted, bottomLeft);\n        context.save();\n        context.beginPath();\n        context.moveTo(Math.round(topLeft[0]), Math.round(topLeft[1]));\n        context.lineTo(Math.round(topRight[0]), Math.round(topRight[1]));\n        context.lineTo(Math.round(bottomRight[0]), Math.round(bottomRight[1]));\n        context.lineTo(Math.round(bottomLeft[0]), Math.round(bottomLeft[1]));\n        context.clip();\n    };\n    /**\n     * @param {import(\"../../render/EventType.js\").default} type Event type.\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @private\n     */\n    CanvasLayerRenderer.prototype.dispatchRenderEvent_ = function (type, context, frameState) {\n        var layer = this.getLayer();\n        if (layer.hasListener(type)) {\n            var event_1 = new RenderEvent(type, this.inversePixelTransform, frameState, context);\n            layer.dispatchEvent(event_1);\n        }\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    CanvasLayerRenderer.prototype.preRender = function (context, frameState) {\n        this.dispatchRenderEvent_(RenderEventType.PRERENDER, context, frameState);\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    CanvasLayerRenderer.prototype.postRender = function (context, frameState) {\n        this.dispatchRenderEvent_(RenderEventType.POSTRENDER, context, frameState);\n    };\n    /**\n     * Creates a transform for rendering to an element that will be rotated after rendering.\n     * @param {import(\"../../coordinate.js\").Coordinate} center Center.\n     * @param {number} resolution Resolution.\n     * @param {number} rotation Rotation.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {number} width Width of the rendered element (in pixels).\n     * @param {number} height Height of the rendered element (in pixels).\n     * @param {number} offsetX Offset on the x-axis in view coordinates.\n     * @protected\n     * @return {!import(\"../../transform.js\").Transform} Transform.\n     */\n    CanvasLayerRenderer.prototype.getRenderTransform = function (center, resolution, rotation, pixelRatio, width, height, offsetX) {\n        var dx1 = width / 2;\n        var dy1 = height / 2;\n        var sx = pixelRatio / resolution;\n        var sy = -sx;\n        var dx2 = -center[0] + offsetX;\n        var dy2 = -center[1];\n        return composeTransform(this.tempTransform, dx1, dy1, sx, sy, -rotation, dx2, dy2);\n    };\n    /**\n     * @param {import(\"../../pixel.js\").Pixel} pixel Pixel.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @return {Uint8ClampedArray|Uint8Array} The result.  If there is no data at the pixel\n     *    location, null will be returned.  If there is data, but pixel values cannot be\n     *    returned, and empty array will be returned.\n     */\n    CanvasLayerRenderer.prototype.getDataAtPixel = function (pixel, frameState, hitTolerance) {\n        var renderPixel = applyTransform(this.inversePixelTransform, pixel.slice());\n        var context = this.context;\n        var layer = this.getLayer();\n        var layerExtent = layer.getExtent();\n        if (layerExtent) {\n            var renderCoordinate = applyTransform(frameState.pixelToCoordinateTransform, pixel.slice());\n            /** get only data inside of the layer extent */\n            if (!containsCoordinate(layerExtent, renderCoordinate)) {\n                return null;\n            }\n        }\n        var x = Math.round(renderPixel[0]);\n        var y = Math.round(renderPixel[1]);\n        var pixelContext = this.pixelContext_;\n        if (!pixelContext) {\n            var pixelCanvas = document.createElement('canvas');\n            pixelCanvas.width = 1;\n            pixelCanvas.height = 1;\n            pixelContext = pixelCanvas.getContext('2d');\n            this.pixelContext_ = pixelContext;\n        }\n        pixelContext.clearRect(0, 0, 1, 1);\n        var data;\n        try {\n            pixelContext.drawImage(context.canvas, x, y, 1, 1, 0, 0, 1, 1);\n            data = pixelContext.getImageData(0, 0, 1, 1).data;\n        }\n        catch (err) {\n            if (err.name === 'SecurityError') {\n                // tainted canvas, we assume there is data at the given pixel (although there might not be)\n                this.pixelContext_ = null;\n                return new Uint8Array();\n            }\n            return data;\n        }\n        if (data[3] === 0) {\n            return null;\n        }\n        return data;\n    };\n    return CanvasLayerRenderer;\n}(LayerRenderer));\nexport default CanvasLayerRenderer;\n//# sourceMappingURL=Layer.js.map","/**\n * @module ol/render/canvas/BuilderType\n */\n/**\n * @enum {string}\n */\nexport default {\n    CIRCLE: 'Circle',\n    DEFAULT: 'Default',\n    IMAGE: 'Image',\n    LINE_STRING: 'LineString',\n    POLYGON: 'Polygon',\n    TEXT: 'Text',\n};\n//# sourceMappingURL=BuilderType.js.map","/**\n * @module ol/geom/flat/textpath\n */\nimport { lerp } from '../../math.js';\nimport { rotate } from './transform.js';\n/**\n * @param {Array<number>} flatCoordinates Path to put text on.\n * @param {number} offset Start offset of the `flatCoordinates`.\n * @param {number} end End offset of the `flatCoordinates`.\n * @param {number} stride Stride.\n * @param {string} text Text to place on the path.\n * @param {number} startM m along the path where the text starts.\n * @param {number} maxAngle Max angle between adjacent chars in radians.\n * @param {number} scale The product of the text scale and the device pixel ratio.\n * @param {function(string, string, Object<string, number>):number} measureAndCacheTextWidth Measure and cache text width.\n * @param {string} font The font.\n * @param {Object<string, number>} cache A cache of measured widths.\n * @param {number} rotation Rotation to apply to the flatCoordinates to determine whether text needs to be reversed.\n * @return {Array<Array<*>>} The result array (or null if `maxAngle` was\n * exceeded). Entries of the array are x, y, anchorX, angle, chunk.\n */\nexport function drawTextOnPath(flatCoordinates, offset, end, stride, text, startM, maxAngle, scale, measureAndCacheTextWidth, font, cache, rotation) {\n    var x2 = flatCoordinates[offset];\n    var y2 = flatCoordinates[offset + 1];\n    var x1 = 0;\n    var y1 = 0;\n    var segmentLength = 0;\n    var segmentM = 0;\n    function advance() {\n        x1 = x2;\n        y1 = y2;\n        offset += stride;\n        x2 = flatCoordinates[offset];\n        y2 = flatCoordinates[offset + 1];\n        segmentM += segmentLength;\n        segmentLength = Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1));\n    }\n    do {\n        advance();\n    } while (offset < end - stride && segmentM + segmentLength < startM);\n    var interpolate = segmentLength === 0 ? 0 : (startM - segmentM) / segmentLength;\n    var beginX = lerp(x1, x2, interpolate);\n    var beginY = lerp(y1, y2, interpolate);\n    var startOffset = offset - stride;\n    var startLength = segmentM;\n    var endM = startM + scale * measureAndCacheTextWidth(font, text, cache);\n    while (offset < end - stride && segmentM + segmentLength < endM) {\n        advance();\n    }\n    interpolate = segmentLength === 0 ? 0 : (endM - segmentM) / segmentLength;\n    var endX = lerp(x1, x2, interpolate);\n    var endY = lerp(y1, y2, interpolate);\n    // Keep text upright\n    var reverse;\n    if (rotation) {\n        var flat = [beginX, beginY, endX, endY];\n        rotate(flat, 0, 4, 2, rotation, flat, flat);\n        reverse = flat[0] > flat[2];\n    }\n    else {\n        reverse = beginX > endX;\n    }\n    var PI = Math.PI;\n    var result = [];\n    var singleSegment = startOffset + stride === offset;\n    offset = startOffset;\n    segmentLength = 0;\n    segmentM = startLength;\n    x2 = flatCoordinates[offset];\n    y2 = flatCoordinates[offset + 1];\n    var previousAngle;\n    // All on the same segment\n    if (singleSegment) {\n        advance();\n        previousAngle = Math.atan2(y2 - y1, x2 - x1);\n        if (reverse) {\n            previousAngle += previousAngle > 0 ? -PI : PI;\n        }\n        var x = (endX + beginX) / 2;\n        var y = (endY + beginY) / 2;\n        result[0] = [x, y, (endM - startM) / 2, previousAngle, text];\n        return result;\n    }\n    for (var i = 0, ii = text.length; i < ii;) {\n        advance();\n        var angle = Math.atan2(y2 - y1, x2 - x1);\n        if (reverse) {\n            angle += angle > 0 ? -PI : PI;\n        }\n        if (previousAngle !== undefined) {\n            var delta = angle - previousAngle;\n            delta += delta > PI ? -2 * PI : delta < -PI ? 2 * PI : 0;\n            if (Math.abs(delta) > maxAngle) {\n                return null;\n            }\n        }\n        previousAngle = angle;\n        var iStart = i;\n        var charLength = 0;\n        for (; i < ii; ++i) {\n            var index = reverse ? ii - i - 1 : i;\n            var len = scale * measureAndCacheTextWidth(font, text[index], cache);\n            if (offset + stride < end &&\n                segmentM + segmentLength < startM + charLength + len / 2) {\n                break;\n            }\n            charLength += len;\n        }\n        if (i === iStart) {\n            continue;\n        }\n        var chars = reverse\n            ? text.substring(ii - iStart, ii - i)\n            : text.substring(iStart, i);\n        interpolate =\n            segmentLength === 0\n                ? 0\n                : (startM + charLength / 2 - segmentM) / segmentLength;\n        var x = lerp(x1, x2, interpolate);\n        var y = lerp(y1, y2, interpolate);\n        result.push([x, y, charLength / 2, angle, chars]);\n        startM += charLength;\n    }\n    return result;\n}\n//# sourceMappingURL=textpath.js.map","/**\n * @module ol/render/canvas/Executor\n */\nimport CanvasInstruction from './Instruction.js';\nimport { TEXT_ALIGN } from './TextBuilder.js';\nimport { WORKER_OFFSCREEN_CANVAS } from '../../has.js';\nimport { apply as applyTransform, compose as composeTransform, create as createTransform, setFromArray as transformSetFromArray, } from '../../transform.js';\nimport { createEmpty, createOrUpdate, intersects } from '../../extent.js';\nimport { defaultPadding, defaultTextBaseline, drawImageOrLabel, } from '../canvas.js';\nimport { defaultTextAlign, measureAndCacheTextWidth, measureTextHeight, measureTextWidths, } from '../canvas.js';\nimport { drawTextOnPath } from '../../geom/flat/textpath.js';\nimport { equals } from '../../array.js';\nimport { lineStringLength } from '../../geom/flat/length.js';\nimport { transform2D } from '../../geom/flat/transform.js';\n/**\n * @typedef {Object} BBox\n * @property {number} minX Minimal x.\n * @property {number} minY Minimal y.\n * @property {number} maxX Maximal x.\n * @property {number} maxY Maximal y\n * @property {*} value Value.\n */\n/**\n * @typedef {Object} ImageOrLabelDimensions\n * @property {number} drawImageX DrawImageX.\n * @property {number} drawImageY DrawImageY.\n * @property {number} drawImageW DrawImageW.\n * @property {number} drawImageH DrawImageH.\n * @property {number} originX OriginX.\n * @property {number} originY OriginY.\n * @property {Array<number>} scale Scale.\n * @property {BBox} declutterBox DeclutterBox.\n * @property {import(\"../../transform.js\").Transform} canvasTransform CanvasTransform.\n */\n/**\n * @typedef {{0: CanvasRenderingContext2D, 1: number, 2: import(\"../canvas.js\").Label|HTMLImageElement|HTMLCanvasElement|HTMLVideoElement, 3: ImageOrLabelDimensions, 4: number, 5: Array<*>, 6: Array<*>}} ReplayImageOrLabelArgs\n */\n/**\n * @template T\n * @typedef {function(import(\"../../Feature.js\").FeatureLike, import(\"../../geom/SimpleGeometry.js\").default): T} FeatureCallback\n */\n/**\n * @type {import(\"../../extent.js\").Extent}\n */\nvar tmpExtent = createEmpty();\n/** @type {import(\"../../coordinate.js\").Coordinate} */\nvar p1 = [];\n/** @type {import(\"../../coordinate.js\").Coordinate} */\nvar p2 = [];\n/** @type {import(\"../../coordinate.js\").Coordinate} */\nvar p3 = [];\n/** @type {import(\"../../coordinate.js\").Coordinate} */\nvar p4 = [];\n/**\n * @param {ReplayImageOrLabelArgs} replayImageOrLabelArgs Arguments to replayImageOrLabel\n * @return {BBox} Declutter bbox.\n */\nfunction getDeclutterBox(replayImageOrLabelArgs) {\n    return replayImageOrLabelArgs[3].declutterBox;\n}\nvar rtlRegEx = new RegExp(\n/* eslint-disable prettier/prettier */\n'[' +\n    String.fromCharCode(0x00591) + '-' + String.fromCharCode(0x008ff) +\n    String.fromCharCode(0x0fb1d) + '-' + String.fromCharCode(0x0fdff) +\n    String.fromCharCode(0x0fe70) + '-' + String.fromCharCode(0x0fefc) +\n    String.fromCharCode(0x10800) + '-' + String.fromCharCode(0x10fff) +\n    String.fromCharCode(0x1e800) + '-' + String.fromCharCode(0x1efff) +\n    ']'\n/* eslint-enable prettier/prettier */\n);\n/**\n * @param {string} text Text.\n * @param {string} align Alignment.\n * @return {number} Text alignment.\n */\nfunction horizontalTextAlign(text, align) {\n    if ((align === 'start' || align === 'end') && !rtlRegEx.test(text)) {\n        align = align === 'start' ? 'left' : 'right';\n    }\n    return TEXT_ALIGN[align];\n}\nvar Executor = /** @class */ (function () {\n    /**\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {boolean} overlaps The replay can have overlapping geometries.\n     * @param {import(\"../canvas.js\").SerializableInstructions} instructions The serializable instructions\n     */\n    function Executor(resolution, pixelRatio, overlaps, instructions) {\n        /**\n         * @protected\n         * @type {boolean}\n         */\n        this.overlaps = overlaps;\n        /**\n         * @protected\n         * @type {number}\n         */\n        this.pixelRatio = pixelRatio;\n        /**\n         * @protected\n         * @const\n         * @type {number}\n         */\n        this.resolution = resolution;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.alignFill_;\n        /**\n         * @protected\n         * @type {Array<*>}\n         */\n        this.instructions = instructions.instructions;\n        /**\n         * @protected\n         * @type {Array<number>}\n         */\n        this.coordinates = instructions.coordinates;\n        /**\n         * @private\n         * @type {!Object<number,import(\"../../coordinate.js\").Coordinate|Array<import(\"../../coordinate.js\").Coordinate>|Array<Array<import(\"../../coordinate.js\").Coordinate>>>}\n         */\n        this.coordinateCache_ = {};\n        /**\n         * @private\n         * @type {!import(\"../../transform.js\").Transform}\n         */\n        this.renderedTransform_ = createTransform();\n        /**\n         * @protected\n         * @type {Array<*>}\n         */\n        this.hitDetectionInstructions = instructions.hitDetectionInstructions;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.pixelCoordinates_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.viewRotation_ = 0;\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").FillState>}\n         */\n        this.fillStates = instructions.fillStates || {};\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").StrokeState>}\n         */\n        this.strokeStates = instructions.strokeStates || {};\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").TextState>}\n         */\n        this.textStates = instructions.textStates || {};\n        /**\n         * @private\n         * @type {Object<string, Object<string, number>>}\n         */\n        this.widths_ = {};\n        /**\n         * @private\n         * @type {Object<string, import(\"../canvas.js\").Label>}\n         */\n        this.labels_ = {};\n    }\n    /**\n     * @param {string} text Text.\n     * @param {string} textKey Text style key.\n     * @param {string} fillKey Fill style key.\n     * @param {string} strokeKey Stroke style key.\n     * @return {import(\"../canvas.js\").Label} Label.\n     */\n    Executor.prototype.createLabel = function (text, textKey, fillKey, strokeKey) {\n        var key = text + textKey + fillKey + strokeKey;\n        if (this.labels_[key]) {\n            return this.labels_[key];\n        }\n        var strokeState = strokeKey ? this.strokeStates[strokeKey] : null;\n        var fillState = fillKey ? this.fillStates[fillKey] : null;\n        var textState = this.textStates[textKey];\n        var pixelRatio = this.pixelRatio;\n        var scale = [\n            textState.scale[0] * pixelRatio,\n            textState.scale[1] * pixelRatio,\n        ];\n        var align = horizontalTextAlign(text, textState.textAlign || defaultTextAlign);\n        var strokeWidth = strokeKey && strokeState.lineWidth ? strokeState.lineWidth : 0;\n        var lines = text.split('\\n');\n        var numLines = lines.length;\n        var widths = [];\n        var width = measureTextWidths(textState.font, lines, widths);\n        var lineHeight = measureTextHeight(textState.font);\n        var height = lineHeight * numLines;\n        var renderWidth = width + strokeWidth;\n        var contextInstructions = [];\n        // make canvas 2 pixels wider to account for italic text width measurement errors\n        var w = (renderWidth + 2) * scale[0];\n        var h = (height + strokeWidth) * scale[1];\n        /** @type {import(\"../canvas.js\").Label} */\n        var label = {\n            width: w < 0 ? Math.floor(w) : Math.ceil(w),\n            height: h < 0 ? Math.floor(h) : Math.ceil(h),\n            contextInstructions: contextInstructions,\n        };\n        if (scale[0] != 1 || scale[1] != 1) {\n            contextInstructions.push('scale', scale);\n        }\n        contextInstructions.push('font', textState.font);\n        if (strokeKey) {\n            contextInstructions.push('strokeStyle', strokeState.strokeStyle);\n            contextInstructions.push('lineWidth', strokeWidth);\n            contextInstructions.push('lineCap', strokeState.lineCap);\n            contextInstructions.push('lineJoin', strokeState.lineJoin);\n            contextInstructions.push('miterLimit', strokeState.miterLimit);\n            // eslint-disable-next-line\n            var Context = WORKER_OFFSCREEN_CANVAS ? OffscreenCanvasRenderingContext2D : CanvasRenderingContext2D;\n            if (Context.prototype.setLineDash) {\n                contextInstructions.push('setLineDash', [strokeState.lineDash]);\n                contextInstructions.push('lineDashOffset', strokeState.lineDashOffset);\n            }\n        }\n        if (fillKey) {\n            contextInstructions.push('fillStyle', fillState.fillStyle);\n        }\n        contextInstructions.push('textBaseline', 'middle');\n        contextInstructions.push('textAlign', 'center');\n        var leftRight = 0.5 - align;\n        var x = align * renderWidth + leftRight * strokeWidth;\n        var i;\n        if (strokeKey) {\n            for (i = 0; i < numLines; ++i) {\n                contextInstructions.push('strokeText', [\n                    lines[i],\n                    x + leftRight * widths[i],\n                    0.5 * (strokeWidth + lineHeight) + i * lineHeight,\n                ]);\n            }\n        }\n        if (fillKey) {\n            for (i = 0; i < numLines; ++i) {\n                contextInstructions.push('fillText', [\n                    lines[i],\n                    x + leftRight * widths[i],\n                    0.5 * (strokeWidth + lineHeight) + i * lineHeight,\n                ]);\n            }\n        }\n        this.labels_[key] = label;\n        return label;\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../coordinate.js\").Coordinate} p1 1st point of the background box.\n     * @param {import(\"../../coordinate.js\").Coordinate} p2 2nd point of the background box.\n     * @param {import(\"../../coordinate.js\").Coordinate} p3 3rd point of the background box.\n     * @param {import(\"../../coordinate.js\").Coordinate} p4 4th point of the background box.\n     * @param {Array<*>} fillInstruction Fill instruction.\n     * @param {Array<*>} strokeInstruction Stroke instruction.\n     */\n    Executor.prototype.replayTextBackground_ = function (context, p1, p2, p3, p4, fillInstruction, strokeInstruction) {\n        context.beginPath();\n        context.moveTo.apply(context, p1);\n        context.lineTo.apply(context, p2);\n        context.lineTo.apply(context, p3);\n        context.lineTo.apply(context, p4);\n        context.lineTo.apply(context, p1);\n        if (fillInstruction) {\n            this.alignFill_ = /** @type {boolean} */ (fillInstruction[2]);\n            this.fill_(context);\n        }\n        if (strokeInstruction) {\n            this.setStrokeStyle_(context, \n            /** @type {Array<*>} */ (strokeInstruction));\n            context.stroke();\n        }\n    };\n    /**\n     * @private\n     * @param {number} sheetWidth Width of the sprite sheet.\n     * @param {number} sheetHeight Height of the sprite sheet.\n     * @param {number} centerX X.\n     * @param {number} centerY Y.\n     * @param {number} width Width.\n     * @param {number} height Height.\n     * @param {number} anchorX Anchor X.\n     * @param {number} anchorY Anchor Y.\n     * @param {number} originX Origin X.\n     * @param {number} originY Origin Y.\n     * @param {number} rotation Rotation.\n     * @param {import(\"../../size.js\").Size} scale Scale.\n     * @param {boolean} snapToPixel Snap to pixel.\n     * @param {Array<number>} padding Padding.\n     * @param {boolean} fillStroke Background fill or stroke.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     * @return {ImageOrLabelDimensions} Dimensions for positioning and decluttering the image or label.\n     */\n    Executor.prototype.calculateImageOrLabelDimensions_ = function (sheetWidth, sheetHeight, centerX, centerY, width, height, anchorX, anchorY, originX, originY, rotation, scale, snapToPixel, padding, fillStroke, feature) {\n        anchorX *= scale[0];\n        anchorY *= scale[1];\n        var x = centerX - anchorX;\n        var y = centerY - anchorY;\n        var w = width + originX > sheetWidth ? sheetWidth - originX : width;\n        var h = height + originY > sheetHeight ? sheetHeight - originY : height;\n        var boxW = padding[3] + w * scale[0] + padding[1];\n        var boxH = padding[0] + h * scale[1] + padding[2];\n        var boxX = x - padding[3];\n        var boxY = y - padding[0];\n        if (fillStroke || rotation !== 0) {\n            p1[0] = boxX;\n            p4[0] = boxX;\n            p1[1] = boxY;\n            p2[1] = boxY;\n            p2[0] = boxX + boxW;\n            p3[0] = p2[0];\n            p3[1] = boxY + boxH;\n            p4[1] = p3[1];\n        }\n        var transform;\n        if (rotation !== 0) {\n            transform = composeTransform(createTransform(), centerX, centerY, 1, 1, rotation, -centerX, -centerY);\n            applyTransform(transform, p1);\n            applyTransform(transform, p2);\n            applyTransform(transform, p3);\n            applyTransform(transform, p4);\n            createOrUpdate(Math.min(p1[0], p2[0], p3[0], p4[0]), Math.min(p1[1], p2[1], p3[1], p4[1]), Math.max(p1[0], p2[0], p3[0], p4[0]), Math.max(p1[1], p2[1], p3[1], p4[1]), tmpExtent);\n        }\n        else {\n            createOrUpdate(Math.min(boxX, boxX + boxW), Math.min(boxY, boxY + boxH), Math.max(boxX, boxX + boxW), Math.max(boxY, boxY + boxH), tmpExtent);\n        }\n        if (snapToPixel) {\n            x = Math.round(x);\n            y = Math.round(y);\n        }\n        return {\n            drawImageX: x,\n            drawImageY: y,\n            drawImageW: w,\n            drawImageH: h,\n            originX: originX,\n            originY: originY,\n            declutterBox: {\n                minX: tmpExtent[0],\n                minY: tmpExtent[1],\n                maxX: tmpExtent[2],\n                maxY: tmpExtent[3],\n                value: feature,\n            },\n            canvasTransform: transform,\n            scale: scale,\n        };\n    };\n    /**\n     * @private\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {number} contextScale Scale of the context.\n     * @param {import(\"../canvas.js\").Label|HTMLImageElement|HTMLCanvasElement|HTMLVideoElement} imageOrLabel Image.\n     * @param {ImageOrLabelDimensions} dimensions Dimensions.\n     * @param {number} opacity Opacity.\n     * @param {Array<*>} fillInstruction Fill instruction.\n     * @param {Array<*>} strokeInstruction Stroke instruction.\n     * @return {boolean} The image or label was rendered.\n     */\n    Executor.prototype.replayImageOrLabel_ = function (context, contextScale, imageOrLabel, dimensions, opacity, fillInstruction, strokeInstruction) {\n        var fillStroke = !!(fillInstruction || strokeInstruction);\n        var box = dimensions.declutterBox;\n        var canvas = context.canvas;\n        var strokePadding = strokeInstruction\n            ? (strokeInstruction[2] * dimensions.scale[0]) / 2\n            : 0;\n        var intersects = box.minX - strokePadding <= canvas.width / contextScale &&\n            box.maxX + strokePadding >= 0 &&\n            box.minY - strokePadding <= canvas.height / contextScale &&\n            box.maxY + strokePadding >= 0;\n        if (intersects) {\n            if (fillStroke) {\n                this.replayTextBackground_(context, p1, p2, p3, p4, \n                /** @type {Array<*>} */ (fillInstruction), \n                /** @type {Array<*>} */ (strokeInstruction));\n            }\n            drawImageOrLabel(context, dimensions.canvasTransform, opacity, imageOrLabel, dimensions.originX, dimensions.originY, dimensions.drawImageW, dimensions.drawImageH, dimensions.drawImageX, dimensions.drawImageY, dimensions.scale);\n        }\n        return true;\n    };\n    /**\n     * @private\n     * @param {CanvasRenderingContext2D} context Context.\n     */\n    Executor.prototype.fill_ = function (context) {\n        if (this.alignFill_) {\n            var origin_1 = applyTransform(this.renderedTransform_, [0, 0]);\n            var repeatSize = 512 * this.pixelRatio;\n            context.save();\n            context.translate(origin_1[0] % repeatSize, origin_1[1] % repeatSize);\n            context.rotate(this.viewRotation_);\n        }\n        context.fill();\n        if (this.alignFill_) {\n            context.restore();\n        }\n    };\n    /**\n     * @private\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {Array<*>} instruction Instruction.\n     */\n    Executor.prototype.setStrokeStyle_ = function (context, instruction) {\n        context['strokeStyle'] =\n            /** @type {import(\"../../colorlike.js\").ColorLike} */ (instruction[1]);\n        context.lineWidth = /** @type {number} */ (instruction[2]);\n        context.lineCap = /** @type {CanvasLineCap} */ (instruction[3]);\n        context.lineJoin = /** @type {CanvasLineJoin} */ (instruction[4]);\n        context.miterLimit = /** @type {number} */ (instruction[5]);\n        if (context.setLineDash) {\n            context.lineDashOffset = /** @type {number} */ (instruction[7]);\n            context.setLineDash(/** @type {Array<number>} */ (instruction[6]));\n        }\n    };\n    /**\n     * @private\n     * @param {string} text The text to draw.\n     * @param {string} textKey The key of the text state.\n     * @param {string} strokeKey The key for the stroke state.\n     * @param {string} fillKey The key for the fill state.\n     * @return {{label: import(\"../canvas.js\").Label, anchorX: number, anchorY: number}} The text image and its anchor.\n     */\n    Executor.prototype.drawLabelWithPointPlacement_ = function (text, textKey, strokeKey, fillKey) {\n        var textState = this.textStates[textKey];\n        var label = this.createLabel(text, textKey, fillKey, strokeKey);\n        var strokeState = this.strokeStates[strokeKey];\n        var pixelRatio = this.pixelRatio;\n        var align = horizontalTextAlign(text, textState.textAlign || defaultTextAlign);\n        var baseline = TEXT_ALIGN[textState.textBaseline || defaultTextBaseline];\n        var strokeWidth = strokeState && strokeState.lineWidth ? strokeState.lineWidth : 0;\n        // Remove the 2 pixels we added in createLabel() for the anchor\n        var width = label.width / pixelRatio - 2 * textState.scale[0];\n        var anchorX = align * width + 2 * (0.5 - align) * strokeWidth;\n        var anchorY = (baseline * label.height) / pixelRatio +\n            2 * (0.5 - baseline) * strokeWidth;\n        return {\n            label: label,\n            anchorX: anchorX,\n            anchorY: anchorY,\n        };\n    };\n    /**\n     * @private\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {number} contextScale Scale of the context.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @param {Array<*>} instructions Instructions array.\n     * @param {boolean} snapToPixel Snap point symbols and text to integer pixels.\n     * @param {FeatureCallback<T>} [opt_featureCallback] Feature callback.\n     * @param {import(\"../../extent.js\").Extent} [opt_hitExtent] Only check\n     *     features that intersect this extent.\n     * @param {import(\"rbush\").default} [opt_declutterTree] Declutter tree.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    Executor.prototype.execute_ = function (context, contextScale, transform, instructions, snapToPixel, opt_featureCallback, opt_hitExtent, opt_declutterTree) {\n        /** @type {Array<number>} */\n        var pixelCoordinates;\n        if (this.pixelCoordinates_ && equals(transform, this.renderedTransform_)) {\n            pixelCoordinates = this.pixelCoordinates_;\n        }\n        else {\n            if (!this.pixelCoordinates_) {\n                this.pixelCoordinates_ = [];\n            }\n            pixelCoordinates = transform2D(this.coordinates, 0, this.coordinates.length, 2, transform, this.pixelCoordinates_);\n            transformSetFromArray(this.renderedTransform_, transform);\n        }\n        var i = 0; // instruction index\n        var ii = instructions.length; // end of instructions\n        var d = 0; // data index\n        var dd; // end of per-instruction data\n        var anchorX, anchorY, prevX, prevY, roundX, roundY, image, text, textKey, strokeKey, fillKey;\n        var pendingFill = 0;\n        var pendingStroke = 0;\n        var lastFillInstruction = null;\n        var lastStrokeInstruction = null;\n        var coordinateCache = this.coordinateCache_;\n        var viewRotation = this.viewRotation_;\n        var viewRotationFromTransform = Math.round(Math.atan2(-transform[1], transform[0]) * 1e12) / 1e12;\n        var state = /** @type {import(\"../../render.js\").State} */ ({\n            context: context,\n            pixelRatio: this.pixelRatio,\n            resolution: this.resolution,\n            rotation: viewRotation,\n        });\n        // When the batch size gets too big, performance decreases. 200 is a good\n        // balance between batch size and number of fill/stroke instructions.\n        var batchSize = this.instructions != instructions || this.overlaps ? 0 : 200;\n        var /** @type {import(\"../../Feature.js\").FeatureLike} */ feature;\n        var x, y, currentGeometry;\n        while (i < ii) {\n            var instruction = instructions[i];\n            var type = /** @type {import(\"./Instruction.js\").default} */ (instruction[0]);\n            switch (type) {\n                case CanvasInstruction.BEGIN_GEOMETRY:\n                    feature = /** @type {import(\"../../Feature.js\").FeatureLike} */ (instruction[1]);\n                    currentGeometry = instruction[3];\n                    if (!feature.getGeometry()) {\n                        i = /** @type {number} */ (instruction[2]);\n                    }\n                    else if (opt_hitExtent !== undefined &&\n                        !intersects(opt_hitExtent, currentGeometry.getExtent())) {\n                        i = /** @type {number} */ (instruction[2]) + 1;\n                    }\n                    else {\n                        ++i;\n                    }\n                    break;\n                case CanvasInstruction.BEGIN_PATH:\n                    if (pendingFill > batchSize) {\n                        this.fill_(context);\n                        pendingFill = 0;\n                    }\n                    if (pendingStroke > batchSize) {\n                        context.stroke();\n                        pendingStroke = 0;\n                    }\n                    if (!pendingFill && !pendingStroke) {\n                        context.beginPath();\n                        prevX = NaN;\n                        prevY = NaN;\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.CIRCLE:\n                    d = /** @type {number} */ (instruction[1]);\n                    var x1 = pixelCoordinates[d];\n                    var y1 = pixelCoordinates[d + 1];\n                    var x2 = pixelCoordinates[d + 2];\n                    var y2 = pixelCoordinates[d + 3];\n                    var dx = x2 - x1;\n                    var dy = y2 - y1;\n                    var r = Math.sqrt(dx * dx + dy * dy);\n                    context.moveTo(x1 + r, y1);\n                    context.arc(x1, y1, r, 0, 2 * Math.PI, true);\n                    ++i;\n                    break;\n                case CanvasInstruction.CLOSE_PATH:\n                    context.closePath();\n                    ++i;\n                    break;\n                case CanvasInstruction.CUSTOM:\n                    d = /** @type {number} */ (instruction[1]);\n                    dd = instruction[2];\n                    var geometry = \n                    /** @type {import(\"../../geom/SimpleGeometry.js\").default} */ (instruction[3]);\n                    var renderer = instruction[4];\n                    var fn = instruction.length == 6 ? instruction[5] : undefined;\n                    state.geometry = geometry;\n                    state.feature = feature;\n                    if (!(i in coordinateCache)) {\n                        coordinateCache[i] = [];\n                    }\n                    var coords = coordinateCache[i];\n                    if (fn) {\n                        fn(pixelCoordinates, d, dd, 2, coords);\n                    }\n                    else {\n                        coords[0] = pixelCoordinates[d];\n                        coords[1] = pixelCoordinates[d + 1];\n                        coords.length = 2;\n                    }\n                    renderer(coords, state);\n                    ++i;\n                    break;\n                case CanvasInstruction.DRAW_IMAGE:\n                    d = /** @type {number} */ (instruction[1]);\n                    dd = /** @type {number} */ (instruction[2]);\n                    image =\n                        /** @type {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement} */ (instruction[3]);\n                    // Remaining arguments in DRAW_IMAGE are in alphabetical order\n                    anchorX = /** @type {number} */ (instruction[4]);\n                    anchorY = /** @type {number} */ (instruction[5]);\n                    var height = /** @type {number} */ (instruction[6]);\n                    var opacity = /** @type {number} */ (instruction[7]);\n                    var originX = /** @type {number} */ (instruction[8]);\n                    var originY = /** @type {number} */ (instruction[9]);\n                    var rotateWithView = /** @type {boolean} */ (instruction[10]);\n                    var rotation = /** @type {number} */ (instruction[11]);\n                    var scale = /** @type {import(\"../../size.js\").Size} */ (instruction[12]);\n                    var width = /** @type {number} */ (instruction[13]);\n                    var declutterImageWithText = \n                    /** @type {import(\"../canvas.js\").DeclutterImageWithText} */ (instruction[14]);\n                    if (!image && instruction.length >= 19) {\n                        // create label images\n                        text = /** @type {string} */ (instruction[18]);\n                        textKey = /** @type {string} */ (instruction[19]);\n                        strokeKey = /** @type {string} */ (instruction[20]);\n                        fillKey = /** @type {string} */ (instruction[21]);\n                        var labelWithAnchor = this.drawLabelWithPointPlacement_(text, textKey, strokeKey, fillKey);\n                        image = labelWithAnchor.label;\n                        instruction[3] = image;\n                        var textOffsetX = /** @type {number} */ (instruction[22]);\n                        anchorX = (labelWithAnchor.anchorX - textOffsetX) * this.pixelRatio;\n                        instruction[4] = anchorX;\n                        var textOffsetY = /** @type {number} */ (instruction[23]);\n                        anchorY = (labelWithAnchor.anchorY - textOffsetY) * this.pixelRatio;\n                        instruction[5] = anchorY;\n                        height = image.height;\n                        instruction[6] = height;\n                        width = image.width;\n                        instruction[13] = width;\n                    }\n                    var geometryWidths = void 0;\n                    if (instruction.length > 24) {\n                        geometryWidths = /** @type {number} */ (instruction[24]);\n                    }\n                    var padding = void 0, backgroundFill = void 0, backgroundStroke = void 0;\n                    if (instruction.length > 16) {\n                        padding = /** @type {Array<number>} */ (instruction[15]);\n                        backgroundFill = /** @type {boolean} */ (instruction[16]);\n                        backgroundStroke = /** @type {boolean} */ (instruction[17]);\n                    }\n                    else {\n                        padding = defaultPadding;\n                        backgroundFill = false;\n                        backgroundStroke = false;\n                    }\n                    if (rotateWithView && viewRotationFromTransform) {\n                        // Canvas is expected to be rotated to reverse view rotation.\n                        rotation += viewRotation;\n                    }\n                    else if (!rotateWithView && !viewRotationFromTransform) {\n                        // Canvas is not rotated, images need to be rotated back to be north-up.\n                        rotation -= viewRotation;\n                    }\n                    var widthIndex = 0;\n                    for (; d < dd; d += 2) {\n                        if (geometryWidths &&\n                            geometryWidths[widthIndex++] < width / this.pixelRatio) {\n                            continue;\n                        }\n                        var dimensions = this.calculateImageOrLabelDimensions_(image.width, image.height, pixelCoordinates[d], pixelCoordinates[d + 1], width, height, anchorX, anchorY, originX, originY, rotation, scale, snapToPixel, padding, backgroundFill || backgroundStroke, feature);\n                        /** @type {ReplayImageOrLabelArgs} */\n                        var args = [\n                            context,\n                            contextScale,\n                            image,\n                            dimensions,\n                            opacity,\n                            backgroundFill\n                                ? /** @type {Array<*>} */ (lastFillInstruction)\n                                : null,\n                            backgroundStroke\n                                ? /** @type {Array<*>} */ (lastStrokeInstruction)\n                                : null,\n                        ];\n                        var imageArgs = void 0;\n                        var imageDeclutterBox = void 0;\n                        if (opt_declutterTree && declutterImageWithText) {\n                            var index = dd - d;\n                            if (!declutterImageWithText[index]) {\n                                // We now have the image for an image+text combination.\n                                declutterImageWithText[index] = args;\n                                // Don't render anything for now, wait for the text.\n                                continue;\n                            }\n                            imageArgs = declutterImageWithText[index];\n                            delete declutterImageWithText[index];\n                            imageDeclutterBox = getDeclutterBox(imageArgs);\n                            if (opt_declutterTree.collides(imageDeclutterBox)) {\n                                continue;\n                            }\n                        }\n                        if (opt_declutterTree &&\n                            opt_declutterTree.collides(dimensions.declutterBox)) {\n                            continue;\n                        }\n                        if (imageArgs) {\n                            // We now have image and text for an image+text combination.\n                            if (opt_declutterTree) {\n                                opt_declutterTree.insert(imageDeclutterBox);\n                            }\n                            // Render the image before we render the text.\n                            this.replayImageOrLabel_.apply(this, imageArgs);\n                        }\n                        if (opt_declutterTree) {\n                            opt_declutterTree.insert(dimensions.declutterBox);\n                        }\n                        this.replayImageOrLabel_.apply(this, args);\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.DRAW_CHARS:\n                    var begin = /** @type {number} */ (instruction[1]);\n                    var end = /** @type {number} */ (instruction[2]);\n                    var baseline = /** @type {number} */ (instruction[3]);\n                    var overflow = /** @type {number} */ (instruction[4]);\n                    fillKey = /** @type {string} */ (instruction[5]);\n                    var maxAngle = /** @type {number} */ (instruction[6]);\n                    var measurePixelRatio = /** @type {number} */ (instruction[7]);\n                    var offsetY = /** @type {number} */ (instruction[8]);\n                    strokeKey = /** @type {string} */ (instruction[9]);\n                    var strokeWidth = /** @type {number} */ (instruction[10]);\n                    text = /** @type {string} */ (instruction[11]);\n                    textKey = /** @type {string} */ (instruction[12]);\n                    var pixelRatioScale = [\n                        /** @type {number} */ (instruction[13]),\n                        /** @type {number} */ (instruction[13]),\n                    ];\n                    var textState = this.textStates[textKey];\n                    var font = textState.font;\n                    var textScale = [\n                        textState.scale[0] * measurePixelRatio,\n                        textState.scale[1] * measurePixelRatio,\n                    ];\n                    var cachedWidths = void 0;\n                    if (font in this.widths_) {\n                        cachedWidths = this.widths_[font];\n                    }\n                    else {\n                        cachedWidths = {};\n                        this.widths_[font] = cachedWidths;\n                    }\n                    var pathLength = lineStringLength(pixelCoordinates, begin, end, 2);\n                    var textLength = Math.abs(textScale[0]) *\n                        measureAndCacheTextWidth(font, text, cachedWidths);\n                    if (overflow || textLength <= pathLength) {\n                        var textAlign = this.textStates[textKey].textAlign;\n                        var startM = (pathLength - textLength) * TEXT_ALIGN[textAlign];\n                        var parts = drawTextOnPath(pixelCoordinates, begin, end, 2, text, startM, maxAngle, Math.abs(textScale[0]), measureAndCacheTextWidth, font, cachedWidths, viewRotationFromTransform ? 0 : this.viewRotation_);\n                        drawChars: if (parts) {\n                            /** @type {Array<ReplayImageOrLabelArgs>} */\n                            var replayImageOrLabelArgs = [];\n                            var c = void 0, cc = void 0, chars = void 0, label = void 0, part = void 0;\n                            if (strokeKey) {\n                                for (c = 0, cc = parts.length; c < cc; ++c) {\n                                    part = parts[c]; // x, y, anchorX, rotation, chunk\n                                    chars = /** @type {string} */ (part[4]);\n                                    label = this.createLabel(chars, textKey, '', strokeKey);\n                                    anchorX =\n                                        /** @type {number} */ (part[2]) +\n                                            (textScale[0] < 0 ? -strokeWidth : strokeWidth);\n                                    anchorY =\n                                        baseline * label.height +\n                                            ((0.5 - baseline) * 2 * strokeWidth * textScale[1]) /\n                                                textScale[0] -\n                                            offsetY;\n                                    var dimensions = this.calculateImageOrLabelDimensions_(label.width, label.height, part[0], part[1], label.width, label.height, anchorX, anchorY, 0, 0, part[3], pixelRatioScale, false, defaultPadding, false, feature);\n                                    if (opt_declutterTree &&\n                                        opt_declutterTree.collides(dimensions.declutterBox)) {\n                                        break drawChars;\n                                    }\n                                    replayImageOrLabelArgs.push([\n                                        context,\n                                        contextScale,\n                                        label,\n                                        dimensions,\n                                        1,\n                                        null,\n                                        null,\n                                    ]);\n                                }\n                            }\n                            if (fillKey) {\n                                for (c = 0, cc = parts.length; c < cc; ++c) {\n                                    part = parts[c]; // x, y, anchorX, rotation, chunk\n                                    chars = /** @type {string} */ (part[4]);\n                                    label = this.createLabel(chars, textKey, fillKey, '');\n                                    anchorX = /** @type {number} */ (part[2]);\n                                    anchorY = baseline * label.height - offsetY;\n                                    var dimensions = this.calculateImageOrLabelDimensions_(label.width, label.height, part[0], part[1], label.width, label.height, anchorX, anchorY, 0, 0, part[3], pixelRatioScale, false, defaultPadding, false, feature);\n                                    if (opt_declutterTree &&\n                                        opt_declutterTree.collides(dimensions.declutterBox)) {\n                                        break drawChars;\n                                    }\n                                    replayImageOrLabelArgs.push([\n                                        context,\n                                        contextScale,\n                                        label,\n                                        dimensions,\n                                        1,\n                                        null,\n                                        null,\n                                    ]);\n                                }\n                            }\n                            if (opt_declutterTree) {\n                                opt_declutterTree.load(replayImageOrLabelArgs.map(getDeclutterBox));\n                            }\n                            for (var i_1 = 0, ii_1 = replayImageOrLabelArgs.length; i_1 < ii_1; ++i_1) {\n                                this.replayImageOrLabel_.apply(this, replayImageOrLabelArgs[i_1]);\n                            }\n                        }\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.END_GEOMETRY:\n                    if (opt_featureCallback !== undefined) {\n                        feature = /** @type {import(\"../../Feature.js\").FeatureLike} */ (instruction[1]);\n                        var result = opt_featureCallback(feature, currentGeometry);\n                        if (result) {\n                            return result;\n                        }\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.FILL:\n                    if (batchSize) {\n                        pendingFill++;\n                    }\n                    else {\n                        this.fill_(context);\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.MOVE_TO_LINE_TO:\n                    d = /** @type {number} */ (instruction[1]);\n                    dd = /** @type {number} */ (instruction[2]);\n                    x = pixelCoordinates[d];\n                    y = pixelCoordinates[d + 1];\n                    roundX = (x + 0.5) | 0;\n                    roundY = (y + 0.5) | 0;\n                    if (roundX !== prevX || roundY !== prevY) {\n                        context.moveTo(x, y);\n                        prevX = roundX;\n                        prevY = roundY;\n                    }\n                    for (d += 2; d < dd; d += 2) {\n                        x = pixelCoordinates[d];\n                        y = pixelCoordinates[d + 1];\n                        roundX = (x + 0.5) | 0;\n                        roundY = (y + 0.5) | 0;\n                        if (d == dd - 2 || roundX !== prevX || roundY !== prevY) {\n                            context.lineTo(x, y);\n                            prevX = roundX;\n                            prevY = roundY;\n                        }\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.SET_FILL_STYLE:\n                    lastFillInstruction = instruction;\n                    this.alignFill_ = instruction[2];\n                    if (pendingFill) {\n                        this.fill_(context);\n                        pendingFill = 0;\n                        if (pendingStroke) {\n                            context.stroke();\n                            pendingStroke = 0;\n                        }\n                    }\n                    context.fillStyle =\n                        /** @type {import(\"../../colorlike.js\").ColorLike} */ (instruction[1]);\n                    ++i;\n                    break;\n                case CanvasInstruction.SET_STROKE_STYLE:\n                    lastStrokeInstruction = instruction;\n                    if (pendingStroke) {\n                        context.stroke();\n                        pendingStroke = 0;\n                    }\n                    this.setStrokeStyle_(context, /** @type {Array<*>} */ (instruction));\n                    ++i;\n                    break;\n                case CanvasInstruction.STROKE:\n                    if (batchSize) {\n                        pendingStroke++;\n                    }\n                    else {\n                        context.stroke();\n                    }\n                    ++i;\n                    break;\n                default:\n                    ++i; // consume the instruction anyway, to avoid an infinite loop\n                    break;\n            }\n        }\n        if (pendingFill) {\n            this.fill_(context);\n        }\n        if (pendingStroke) {\n            context.stroke();\n        }\n        return undefined;\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {number} contextScale Scale of the context.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @param {number} viewRotation View rotation.\n     * @param {boolean} snapToPixel Snap point symbols and text to integer pixels.\n     * @param {import(\"rbush\").default} [opt_declutterTree] Declutter tree.\n     */\n    Executor.prototype.execute = function (context, contextScale, transform, viewRotation, snapToPixel, opt_declutterTree) {\n        this.viewRotation_ = viewRotation;\n        this.execute_(context, contextScale, transform, this.instructions, snapToPixel, undefined, undefined, opt_declutterTree);\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @param {number} viewRotation View rotation.\n     * @param {FeatureCallback<T>} [opt_featureCallback] Feature callback.\n     * @param {import(\"../../extent.js\").Extent} [opt_hitExtent] Only check\n     *     features that intersect this extent.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    Executor.prototype.executeHitDetection = function (context, transform, viewRotation, opt_featureCallback, opt_hitExtent) {\n        this.viewRotation_ = viewRotation;\n        return this.execute_(context, 1, transform, this.hitDetectionInstructions, true, opt_featureCallback, opt_hitExtent);\n    };\n    return Executor;\n}());\nexport default Executor;\n//# sourceMappingURL=Executor.js.map","/**\n * @module ol/render/canvas/ExecutorGroup\n */\nimport BuilderType from './BuilderType.js';\nimport Executor from './Executor.js';\nimport { buffer, createEmpty, extendCoordinate } from '../../extent.js';\nimport { compose as composeTransform, create as createTransform, } from '../../transform.js';\nimport { createCanvasContext2D } from '../../dom.js';\nimport { isEmpty } from '../../obj.js';\nimport { numberSafeCompareFunction } from '../../array.js';\nimport { transform2D } from '../../geom/flat/transform.js';\n/**\n * @const\n * @type {Array<import(\"./BuilderType.js\").default>}\n */\nvar ORDER = [\n    BuilderType.POLYGON,\n    BuilderType.CIRCLE,\n    BuilderType.LINE_STRING,\n    BuilderType.IMAGE,\n    BuilderType.TEXT,\n    BuilderType.DEFAULT,\n];\nvar ExecutorGroup = /** @class */ (function () {\n    /**\n     * @param {import(\"../../extent.js\").Extent} maxExtent Max extent for clipping. When a\n     * `maxExtent` was set on the Builder for this executor group, the same `maxExtent`\n     * should be set here, unless the target context does not exceed that extent (which\n     * can be the case when rendering to tiles).\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {boolean} overlaps The executor group can have overlapping geometries.\n     * @param {!Object<string, !Object<import(\"./BuilderType.js\").default, import(\"../canvas.js\").SerializableInstructions>>} allInstructions\n     * The serializable instructions.\n     * @param {number} [opt_renderBuffer] Optional rendering buffer.\n     */\n    function ExecutorGroup(maxExtent, resolution, pixelRatio, overlaps, allInstructions, opt_renderBuffer) {\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        this.maxExtent_ = maxExtent;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.overlaps_ = overlaps;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.pixelRatio_ = pixelRatio;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.resolution_ = resolution;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.renderBuffer_ = opt_renderBuffer;\n        /**\n         * @private\n         * @type {!Object<string, !Object<import(\"./BuilderType.js\").default, import(\"./Executor\").default>>}\n         */\n        this.executorsByZIndex_ = {};\n        /**\n         * @private\n         * @type {CanvasRenderingContext2D}\n         */\n        this.hitDetectionContext_ = null;\n        /**\n         * @private\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        this.hitDetectionTransform_ = createTransform();\n        this.createExecutors_(allInstructions);\n    }\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     */\n    ExecutorGroup.prototype.clip = function (context, transform) {\n        var flatClipCoords = this.getClipCoords(transform);\n        context.beginPath();\n        context.moveTo(flatClipCoords[0], flatClipCoords[1]);\n        context.lineTo(flatClipCoords[2], flatClipCoords[3]);\n        context.lineTo(flatClipCoords[4], flatClipCoords[5]);\n        context.lineTo(flatClipCoords[6], flatClipCoords[7]);\n        context.clip();\n    };\n    /**\n     * Create executors and populate them using the provided instructions.\n     * @private\n     * @param {!Object<string, !Object<import(\"./BuilderType.js\").default, import(\"../canvas.js\").SerializableInstructions>>} allInstructions The serializable instructions\n     */\n    ExecutorGroup.prototype.createExecutors_ = function (allInstructions) {\n        for (var zIndex in allInstructions) {\n            var executors = this.executorsByZIndex_[zIndex];\n            if (executors === undefined) {\n                executors = {};\n                this.executorsByZIndex_[zIndex] = executors;\n            }\n            var instructionByZindex = allInstructions[zIndex];\n            for (var builderType in instructionByZindex) {\n                var instructions = instructionByZindex[builderType];\n                executors[builderType] = new Executor(this.resolution_, this.pixelRatio_, this.overlaps_, instructions);\n            }\n        }\n    };\n    /**\n     * @param {Array<import(\"./BuilderType.js\").default>} executors Executors.\n     * @return {boolean} Has executors of the provided types.\n     */\n    ExecutorGroup.prototype.hasExecutors = function (executors) {\n        for (var zIndex in this.executorsByZIndex_) {\n            var candidates = this.executorsByZIndex_[zIndex];\n            for (var i = 0, ii = executors.length; i < ii; ++i) {\n                if (executors[i] in candidates) {\n                    return true;\n                }\n            }\n        }\n        return false;\n    };\n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {number} resolution Resolution.\n     * @param {number} rotation Rotation.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {function(import(\"../../Feature.js\").FeatureLike, import(\"../../geom/SimpleGeometry.js\").default, number): T} callback Feature callback.\n     * @param {Array<import(\"../../Feature.js\").FeatureLike>} declutteredFeatures Decluttered features.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    ExecutorGroup.prototype.forEachFeatureAtCoordinate = function (coordinate, resolution, rotation, hitTolerance, callback, declutteredFeatures) {\n        hitTolerance = Math.round(hitTolerance);\n        var contextSize = hitTolerance * 2 + 1;\n        var transform = composeTransform(this.hitDetectionTransform_, hitTolerance + 0.5, hitTolerance + 0.5, 1 / resolution, -1 / resolution, -rotation, -coordinate[0], -coordinate[1]);\n        var newContext = !this.hitDetectionContext_;\n        if (newContext) {\n            this.hitDetectionContext_ = createCanvasContext2D(contextSize, contextSize);\n        }\n        var context = this.hitDetectionContext_;\n        if (context.canvas.width !== contextSize ||\n            context.canvas.height !== contextSize) {\n            context.canvas.width = contextSize;\n            context.canvas.height = contextSize;\n        }\n        else if (!newContext) {\n            context.clearRect(0, 0, contextSize, contextSize);\n        }\n        /**\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        var hitExtent;\n        if (this.renderBuffer_ !== undefined) {\n            hitExtent = createEmpty();\n            extendCoordinate(hitExtent, coordinate);\n            buffer(hitExtent, resolution * (this.renderBuffer_ + hitTolerance), hitExtent);\n        }\n        var indexes = getPixelIndexArray(hitTolerance);\n        var builderType;\n        /**\n         * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n         * @param {import(\"../../geom/SimpleGeometry.js\").default} geometry Geometry.\n         * @return {T|undefined} Callback result.\n         */\n        function featureCallback(feature, geometry) {\n            var imageData = context.getImageData(0, 0, contextSize, contextSize).data;\n            for (var i_1 = 0, ii = indexes.length; i_1 < ii; i_1++) {\n                if (imageData[indexes[i_1]] > 0) {\n                    if (!declutteredFeatures ||\n                        (builderType !== BuilderType.IMAGE &&\n                            builderType !== BuilderType.TEXT) ||\n                        declutteredFeatures.indexOf(feature) !== -1) {\n                        var idx = (indexes[i_1] - 3) / 4;\n                        var x = hitTolerance - (idx % contextSize);\n                        var y = hitTolerance - ((idx / contextSize) | 0);\n                        var result_1 = callback(feature, geometry, x * x + y * y);\n                        if (result_1) {\n                            return result_1;\n                        }\n                    }\n                    context.clearRect(0, 0, contextSize, contextSize);\n                    break;\n                }\n            }\n            return undefined;\n        }\n        /** @type {Array<number>} */\n        var zs = Object.keys(this.executorsByZIndex_).map(Number);\n        zs.sort(numberSafeCompareFunction);\n        var i, j, executors, executor, result;\n        for (i = zs.length - 1; i >= 0; --i) {\n            var zIndexKey = zs[i].toString();\n            executors = this.executorsByZIndex_[zIndexKey];\n            for (j = ORDER.length - 1; j >= 0; --j) {\n                builderType = ORDER[j];\n                executor = executors[builderType];\n                if (executor !== undefined) {\n                    result = executor.executeHitDetection(context, transform, rotation, featureCallback, hitExtent);\n                    if (result) {\n                        return result;\n                    }\n                }\n            }\n        }\n        return undefined;\n    };\n    /**\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @return {Array<number>} Clip coordinates.\n     */\n    ExecutorGroup.prototype.getClipCoords = function (transform) {\n        var maxExtent = this.maxExtent_;\n        if (!maxExtent) {\n            return null;\n        }\n        var minX = maxExtent[0];\n        var minY = maxExtent[1];\n        var maxX = maxExtent[2];\n        var maxY = maxExtent[3];\n        var flatClipCoords = [minX, minY, minX, maxY, maxX, maxY, maxX, minY];\n        transform2D(flatClipCoords, 0, 8, 2, transform, flatClipCoords);\n        return flatClipCoords;\n    };\n    /**\n     * @return {boolean} Is empty.\n     */\n    ExecutorGroup.prototype.isEmpty = function () {\n        return isEmpty(this.executorsByZIndex_);\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {number} contextScale Scale of the context.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @param {number} viewRotation View rotation.\n     * @param {boolean} snapToPixel Snap point symbols and test to integer pixel.\n     * @param {Array<import(\"./BuilderType.js\").default>} [opt_builderTypes] Ordered replay types to replay.\n     *     Default is {@link module:ol/render/replay~ORDER}\n     * @param {import(\"rbush\").default} [opt_declutterTree] Declutter tree.\n     */\n    ExecutorGroup.prototype.execute = function (context, contextScale, transform, viewRotation, snapToPixel, opt_builderTypes, opt_declutterTree) {\n        /** @type {Array<number>} */\n        var zs = Object.keys(this.executorsByZIndex_).map(Number);\n        zs.sort(numberSafeCompareFunction);\n        // setup clipping so that the parts of over-simplified geometries are not\n        // visible outside the current extent when panning\n        if (this.maxExtent_) {\n            context.save();\n            this.clip(context, transform);\n        }\n        var builderTypes = opt_builderTypes ? opt_builderTypes : ORDER;\n        var i, ii, j, jj, replays, replay;\n        if (opt_declutterTree) {\n            zs.reverse();\n        }\n        for (i = 0, ii = zs.length; i < ii; ++i) {\n            var zIndexKey = zs[i].toString();\n            replays = this.executorsByZIndex_[zIndexKey];\n            for (j = 0, jj = builderTypes.length; j < jj; ++j) {\n                var builderType = builderTypes[j];\n                replay = replays[builderType];\n                if (replay !== undefined) {\n                    replay.execute(context, contextScale, transform, viewRotation, snapToPixel, opt_declutterTree);\n                }\n            }\n        }\n        if (this.maxExtent_) {\n            context.restore();\n        }\n    };\n    return ExecutorGroup;\n}());\n/**\n * This cache is used to store arrays of indexes for calculated pixel circles\n * to increase performance.\n * It is a static property to allow each Replaygroup to access it.\n * @type {Object<number, Array<number>>}\n */\nvar circlePixelIndexArrayCache = {};\n/**\n * This methods creates an array with indexes of all pixels within a circle,\n * ordered by how close they are to the center.\n * A cache is used to increase performance.\n * @param {number} radius Radius.\n * @return {Array<number>} An array with indexes within a circle.\n */\nexport function getPixelIndexArray(radius) {\n    if (circlePixelIndexArrayCache[radius] !== undefined) {\n        return circlePixelIndexArrayCache[radius];\n    }\n    var size = radius * 2 + 1;\n    var maxDistanceSq = radius * radius;\n    var distances = new Array(maxDistanceSq + 1);\n    for (var i = 0; i <= radius; ++i) {\n        for (var j = 0; j <= radius; ++j) {\n            var distanceSq = i * i + j * j;\n            if (distanceSq > maxDistanceSq) {\n                break;\n            }\n            var distance = distances[distanceSq];\n            if (!distance) {\n                distance = [];\n                distances[distanceSq] = distance;\n            }\n            distance.push(((radius + i) * size + (radius + j)) * 4 + 3);\n            if (i > 0) {\n                distance.push(((radius - i) * size + (radius + j)) * 4 + 3);\n            }\n            if (j > 0) {\n                distance.push(((radius + i) * size + (radius - j)) * 4 + 3);\n                if (i > 0) {\n                    distance.push(((radius - i) * size + (radius - j)) * 4 + 3);\n                }\n            }\n        }\n    }\n    var pixelIndex = [];\n    for (var i = 0, ii = distances.length; i < ii; ++i) {\n        if (distances[i]) {\n            pixelIndex.push.apply(pixelIndex, distances[i]);\n        }\n    }\n    circlePixelIndexArrayCache[radius] = pixelIndex;\n    return pixelIndex;\n}\nexport default ExecutorGroup;\n//# sourceMappingURL=ExecutorGroup.js.map","/**\n * @module ol/ViewHint\n */\n/**\n * @enum {number}\n */\nexport default {\n    ANIMATING: 0,\n    INTERACTING: 1,\n};\n//# sourceMappingURL=ViewHint.js.map","/**\n * @module ol/render/canvas/Immediate\n */\n// FIXME test, especially polygons with holes and multipolygons\n// FIXME need to handle large thick features (where pixel size matters)\n// FIXME add offset and end to ol/geom/flat/transform~transform2D?\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport GeometryType from '../../geom/GeometryType.js';\nimport VectorContext from '../VectorContext.js';\nimport { asColorLike } from '../../colorlike.js';\nimport { compose as composeTransform, create as createTransform, } from '../../transform.js';\nimport { defaultFillStyle, defaultFont, defaultLineCap, defaultLineDash, defaultLineDashOffset, defaultLineJoin, defaultLineWidth, defaultMiterLimit, defaultStrokeStyle, defaultTextAlign, defaultTextBaseline, } from '../canvas.js';\nimport { equals } from '../../array.js';\nimport { intersects } from '../../extent.js';\nimport { transform2D } from '../../geom/flat/transform.js';\nimport { transformGeom2D } from '../../geom/SimpleGeometry.js';\n/**\n * @classdesc\n * A concrete subclass of {@link module:ol/render/VectorContext VectorContext} that implements\n * direct rendering of features and geometries to an HTML5 Canvas context.\n * Instances of this class are created internally by the library and\n * provided to application code as vectorContext member of the\n * {@link module:ol/render/Event~RenderEvent RenderEvent} object associated with postcompose, precompose and\n * render events emitted by layers and maps.\n */\nvar CanvasImmediateRenderer = /** @class */ (function (_super) {\n    __extends(CanvasImmediateRenderer, _super);\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../../extent.js\").Extent} extent Extent.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @param {number} viewRotation View rotation.\n     * @param {number} [opt_squaredTolerance] Optional squared tolerance for simplification.\n     * @param {import(\"../../proj.js\").TransformFunction} [opt_userTransform] Transform from user to view projection.\n     */\n    function CanvasImmediateRenderer(context, pixelRatio, extent, transform, viewRotation, opt_squaredTolerance, opt_userTransform) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {CanvasRenderingContext2D}\n         */\n        _this.context_ = context;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.pixelRatio_ = pixelRatio;\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.extent_ = extent;\n        /**\n         * @private\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.transform_ = transform;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.viewRotation_ = viewRotation;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.squaredTolerance_ = opt_squaredTolerance;\n        /**\n         * @private\n         * @type {import(\"../../proj.js\").TransformFunction}\n         */\n        _this.userTransform_ = opt_userTransform;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").FillState}\n         */\n        _this.contextFillState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").StrokeState}\n         */\n        _this.contextStrokeState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").TextState}\n         */\n        _this.contextTextState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").FillState}\n         */\n        _this.fillState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").StrokeState}\n         */\n        _this.strokeState_ = null;\n        /**\n         * @private\n         * @type {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement}\n         */\n        _this.image_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageAnchorX_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageAnchorY_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageHeight_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageOpacity_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageOriginX_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageOriginY_ = 0;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.imageRotateWithView_ = false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageRotation_ = 0;\n        /**\n         * @private\n         * @type {import(\"../../size.js\").Size}\n         */\n        _this.imageScale_ = [0, 0];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageWidth_ = 0;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.text_ = '';\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textOffsetX_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textOffsetY_ = 0;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.textRotateWithView_ = false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textRotation_ = 0;\n        /**\n         * @private\n         * @type {import(\"../../size.js\").Size}\n         */\n        _this.textScale_ = [0, 0];\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").FillState}\n         */\n        _this.textFillState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").StrokeState}\n         */\n        _this.textStrokeState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").TextState}\n         */\n        _this.textState_ = null;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.pixelCoordinates_ = [];\n        /**\n         * @private\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.tmpLocalTransform_ = createTransform();\n        return _this;\n    }\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {number} end End.\n     * @param {number} stride Stride.\n     * @private\n     */\n    CanvasImmediateRenderer.prototype.drawImages_ = function (flatCoordinates, offset, end, stride) {\n        if (!this.image_) {\n            return;\n        }\n        var pixelCoordinates = transform2D(flatCoordinates, offset, end, stride, this.transform_, this.pixelCoordinates_);\n        var context = this.context_;\n        var localTransform = this.tmpLocalTransform_;\n        var alpha = context.globalAlpha;\n        if (this.imageOpacity_ != 1) {\n            context.globalAlpha = alpha * this.imageOpacity_;\n        }\n        var rotation = this.imageRotation_;\n        if (this.imageRotateWithView_) {\n            rotation += this.viewRotation_;\n        }\n        for (var i = 0, ii = pixelCoordinates.length; i < ii; i += 2) {\n            var x = pixelCoordinates[i] - this.imageAnchorX_;\n            var y = pixelCoordinates[i + 1] - this.imageAnchorY_;\n            if (rotation !== 0 ||\n                this.imageScale_[0] != 1 ||\n                this.imageScale_[1] != 1) {\n                var centerX = x + this.imageAnchorX_;\n                var centerY = y + this.imageAnchorY_;\n                composeTransform(localTransform, centerX, centerY, 1, 1, rotation, -centerX, -centerY);\n                context.setTransform.apply(context, localTransform);\n                context.translate(centerX, centerY);\n                context.scale(this.imageScale_[0], this.imageScale_[1]);\n                context.drawImage(this.image_, this.imageOriginX_, this.imageOriginY_, this.imageWidth_, this.imageHeight_, -this.imageAnchorX_, -this.imageAnchorY_, this.imageWidth_, this.imageHeight_);\n                context.setTransform(1, 0, 0, 1, 0, 0);\n            }\n            else {\n                context.drawImage(this.image_, this.imageOriginX_, this.imageOriginY_, this.imageWidth_, this.imageHeight_, x, y, this.imageWidth_, this.imageHeight_);\n            }\n        }\n        if (this.imageOpacity_ != 1) {\n            context.globalAlpha = alpha;\n        }\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {number} end End.\n     * @param {number} stride Stride.\n     * @private\n     */\n    CanvasImmediateRenderer.prototype.drawText_ = function (flatCoordinates, offset, end, stride) {\n        if (!this.textState_ || this.text_ === '') {\n            return;\n        }\n        if (this.textFillState_) {\n            this.setContextFillState_(this.textFillState_);\n        }\n        if (this.textStrokeState_) {\n            this.setContextStrokeState_(this.textStrokeState_);\n        }\n        this.setContextTextState_(this.textState_);\n        var pixelCoordinates = transform2D(flatCoordinates, offset, end, stride, this.transform_, this.pixelCoordinates_);\n        var context = this.context_;\n        var rotation = this.textRotation_;\n        if (this.textRotateWithView_) {\n            rotation += this.viewRotation_;\n        }\n        for (; offset < end; offset += stride) {\n            var x = pixelCoordinates[offset] + this.textOffsetX_;\n            var y = pixelCoordinates[offset + 1] + this.textOffsetY_;\n            if (rotation !== 0 ||\n                this.textScale_[0] != 1 ||\n                this.textScale_[1] != 1) {\n                var localTransform = composeTransform(this.tmpLocalTransform_, x, y, 1, 1, rotation, -x, -y);\n                context.setTransform.apply(context, localTransform);\n                context.translate(x, y);\n                context.scale(this.textScale_[0], this.textScale_[1]);\n                if (this.textStrokeState_) {\n                    context.strokeText(this.text_, 0, 0);\n                }\n                if (this.textFillState_) {\n                    context.fillText(this.text_, 0, 0);\n                }\n                context.setTransform(1, 0, 0, 1, 0, 0);\n            }\n            else {\n                if (this.textStrokeState_) {\n                    context.strokeText(this.text_, x, y);\n                }\n                if (this.textFillState_) {\n                    context.fillText(this.text_, x, y);\n                }\n            }\n        }\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {number} end End.\n     * @param {number} stride Stride.\n     * @param {boolean} close Close.\n     * @private\n     * @return {number} end End.\n     */\n    CanvasImmediateRenderer.prototype.moveToLineTo_ = function (flatCoordinates, offset, end, stride, close) {\n        var context = this.context_;\n        var pixelCoordinates = transform2D(flatCoordinates, offset, end, stride, this.transform_, this.pixelCoordinates_);\n        context.moveTo(pixelCoordinates[0], pixelCoordinates[1]);\n        var length = pixelCoordinates.length;\n        if (close) {\n            length -= 2;\n        }\n        for (var i = 2; i < length; i += 2) {\n            context.lineTo(pixelCoordinates[i], pixelCoordinates[i + 1]);\n        }\n        if (close) {\n            context.closePath();\n        }\n        return end;\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {Array<number>} ends Ends.\n     * @param {number} stride Stride.\n     * @private\n     * @return {number} End.\n     */\n    CanvasImmediateRenderer.prototype.drawRings_ = function (flatCoordinates, offset, ends, stride) {\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            offset = this.moveToLineTo_(flatCoordinates, offset, ends[i], stride, true);\n        }\n        return offset;\n    };\n    /**\n     * Render a circle geometry into the canvas.  Rendering is immediate and uses\n     * the current fill and stroke styles.\n     *\n     * @param {import(\"../../geom/Circle.js\").default} geometry Circle geometry.\n     * @api\n     */\n    CanvasImmediateRenderer.prototype.drawCircle = function (geometry) {\n        if (!intersects(this.extent_, geometry.getExtent())) {\n            return;\n        }\n        if (this.fillState_ || this.strokeState_) {\n            if (this.fillState_) {\n                this.setContextFillState_(this.fillState_);\n            }\n            if (this.strokeState_) {\n                this.setContextStrokeState_(this.strokeState_);\n            }\n            var pixelCoordinates = transformGeom2D(geometry, this.transform_, this.pixelCoordinates_);\n            var dx = pixelCoordinates[2] - pixelCoordinates[0];\n            var dy = pixelCoordinates[3] - pixelCoordinates[1];\n            var radius = Math.sqrt(dx * dx + dy * dy);\n            var context = this.context_;\n            context.beginPath();\n            context.arc(pixelCoordinates[0], pixelCoordinates[1], radius, 0, 2 * Math.PI);\n            if (this.fillState_) {\n                context.fill();\n            }\n            if (this.strokeState_) {\n                context.stroke();\n            }\n        }\n        if (this.text_ !== '') {\n            this.drawText_(geometry.getCenter(), 0, 2, 2);\n        }\n    };\n    /**\n     * Set the rendering style.  Note that since this is an immediate rendering API,\n     * any `zIndex` on the provided style will be ignored.\n     *\n     * @param {import(\"../../style/Style.js\").default} style The rendering style.\n     * @api\n     */\n    CanvasImmediateRenderer.prototype.setStyle = function (style) {\n        this.setFillStrokeStyle(style.getFill(), style.getStroke());\n        this.setImageStyle(style.getImage());\n        this.setTextStyle(style.getText());\n    };\n    /**\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     */\n    CanvasImmediateRenderer.prototype.setTransform = function (transform) {\n        this.transform_ = transform;\n    };\n    /**\n     * Render a geometry into the canvas.  Call\n     * {@link module:ol/render/canvas/Immediate~CanvasImmediateRenderer#setStyle renderer.setStyle()} first to set the rendering style.\n     *\n     * @param {import(\"../../geom/Geometry.js\").default|import(\"../Feature.js\").default} geometry The geometry to render.\n     * @api\n     */\n    CanvasImmediateRenderer.prototype.drawGeometry = function (geometry) {\n        var type = geometry.getType();\n        switch (type) {\n            case GeometryType.POINT:\n                this.drawPoint(\n                /** @type {import(\"../../geom/Point.js\").default} */ (geometry));\n                break;\n            case GeometryType.LINE_STRING:\n                this.drawLineString(\n                /** @type {import(\"../../geom/LineString.js\").default} */ (geometry));\n                break;\n            case GeometryType.POLYGON:\n                this.drawPolygon(\n                /** @type {import(\"../../geom/Polygon.js\").default} */ (geometry));\n                break;\n            case GeometryType.MULTI_POINT:\n                this.drawMultiPoint(\n                /** @type {import(\"../../geom/MultiPoint.js\").default} */ (geometry));\n                break;\n            case GeometryType.MULTI_LINE_STRING:\n                this.drawMultiLineString(\n                /** @type {import(\"../../geom/MultiLineString.js\").default} */ (geometry));\n                break;\n            case GeometryType.MULTI_POLYGON:\n                this.drawMultiPolygon(\n                /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry));\n                break;\n            case GeometryType.GEOMETRY_COLLECTION:\n                this.drawGeometryCollection(\n                /** @type {import(\"../../geom/GeometryCollection.js\").default} */ (geometry));\n                break;\n            case GeometryType.CIRCLE:\n                this.drawCircle(\n                /** @type {import(\"../../geom/Circle.js\").default} */ (geometry));\n                break;\n            default:\n        }\n    };\n    /**\n     * Render a feature into the canvas.  Note that any `zIndex` on the provided\n     * style will be ignored - features are rendered immediately in the order that\n     * this method is called.  If you need `zIndex` support, you should be using an\n     * {@link module:ol/layer/Vector~VectorLayer VectorLayer} instead.\n     *\n     * @param {import(\"../../Feature.js\").default} feature Feature.\n     * @param {import(\"../../style/Style.js\").default} style Style.\n     * @api\n     */\n    CanvasImmediateRenderer.prototype.drawFeature = function (feature, style) {\n        var geometry = style.getGeometryFunction()(feature);\n        if (!geometry || !intersects(this.extent_, geometry.getExtent())) {\n            return;\n        }\n        this.setStyle(style);\n        this.drawGeometry(geometry);\n    };\n    /**\n     * Render a GeometryCollection to the canvas.  Rendering is immediate and\n     * uses the current styles appropriate for each geometry in the collection.\n     *\n     * @param {import(\"../../geom/GeometryCollection.js\").default} geometry Geometry collection.\n     */\n    CanvasImmediateRenderer.prototype.drawGeometryCollection = function (geometry) {\n        var geometries = geometry.getGeometriesArray();\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            this.drawGeometry(geometries[i]);\n        }\n    };\n    /**\n     * Render a Point geometry into the canvas.  Rendering is immediate and uses\n     * the current style.\n     *\n     * @param {import(\"../../geom/Point.js\").default|import(\"../Feature.js\").default} geometry Point geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawPoint = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry = /** @type {import(\"../../geom/Point.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        var flatCoordinates = geometry.getFlatCoordinates();\n        var stride = geometry.getStride();\n        if (this.image_) {\n            this.drawImages_(flatCoordinates, 0, flatCoordinates.length, stride);\n        }\n        if (this.text_ !== '') {\n            this.drawText_(flatCoordinates, 0, flatCoordinates.length, stride);\n        }\n    };\n    /**\n     * Render a MultiPoint geometry  into the canvas.  Rendering is immediate and\n     * uses the current style.\n     *\n     * @param {import(\"../../geom/MultiPoint.js\").default|import(\"../Feature.js\").default} geometry MultiPoint geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawMultiPoint = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry = /** @type {import(\"../../geom/MultiPoint.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        var flatCoordinates = geometry.getFlatCoordinates();\n        var stride = geometry.getStride();\n        if (this.image_) {\n            this.drawImages_(flatCoordinates, 0, flatCoordinates.length, stride);\n        }\n        if (this.text_ !== '') {\n            this.drawText_(flatCoordinates, 0, flatCoordinates.length, stride);\n        }\n    };\n    /**\n     * Render a LineString into the canvas.  Rendering is immediate and uses\n     * the current style.\n     *\n     * @param {import(\"../../geom/LineString.js\").default|import(\"../Feature.js\").default} geometry LineString geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawLineString = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry = /** @type {import(\"../../geom/LineString.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        if (!intersects(this.extent_, geometry.getExtent())) {\n            return;\n        }\n        if (this.strokeState_) {\n            this.setContextStrokeState_(this.strokeState_);\n            var context = this.context_;\n            var flatCoordinates = geometry.getFlatCoordinates();\n            context.beginPath();\n            this.moveToLineTo_(flatCoordinates, 0, flatCoordinates.length, geometry.getStride(), false);\n            context.stroke();\n        }\n        if (this.text_ !== '') {\n            var flatMidpoint = geometry.getFlatMidpoint();\n            this.drawText_(flatMidpoint, 0, 2, 2);\n        }\n    };\n    /**\n     * Render a MultiLineString geometry into the canvas.  Rendering is immediate\n     * and uses the current style.\n     *\n     * @param {import(\"../../geom/MultiLineString.js\").default|import(\"../Feature.js\").default} geometry MultiLineString geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawMultiLineString = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry =\n                /** @type {import(\"../../geom/MultiLineString.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        var geometryExtent = geometry.getExtent();\n        if (!intersects(this.extent_, geometryExtent)) {\n            return;\n        }\n        if (this.strokeState_) {\n            this.setContextStrokeState_(this.strokeState_);\n            var context = this.context_;\n            var flatCoordinates = geometry.getFlatCoordinates();\n            var offset = 0;\n            var ends = /** @type {Array<number>} */ (geometry.getEnds());\n            var stride = geometry.getStride();\n            context.beginPath();\n            for (var i = 0, ii = ends.length; i < ii; ++i) {\n                offset = this.moveToLineTo_(flatCoordinates, offset, ends[i], stride, false);\n            }\n            context.stroke();\n        }\n        if (this.text_ !== '') {\n            var flatMidpoints = geometry.getFlatMidpoints();\n            this.drawText_(flatMidpoints, 0, flatMidpoints.length, 2);\n        }\n    };\n    /**\n     * Render a Polygon geometry into the canvas.  Rendering is immediate and uses\n     * the current style.\n     *\n     * @param {import(\"../../geom/Polygon.js\").default|import(\"../Feature.js\").default} geometry Polygon geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawPolygon = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry = /** @type {import(\"../../geom/Polygon.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        if (!intersects(this.extent_, geometry.getExtent())) {\n            return;\n        }\n        if (this.strokeState_ || this.fillState_) {\n            if (this.fillState_) {\n                this.setContextFillState_(this.fillState_);\n            }\n            if (this.strokeState_) {\n                this.setContextStrokeState_(this.strokeState_);\n            }\n            var context = this.context_;\n            context.beginPath();\n            this.drawRings_(geometry.getOrientedFlatCoordinates(), 0, \n            /** @type {Array<number>} */ (geometry.getEnds()), geometry.getStride());\n            if (this.fillState_) {\n                context.fill();\n            }\n            if (this.strokeState_) {\n                context.stroke();\n            }\n        }\n        if (this.text_ !== '') {\n            var flatInteriorPoint = geometry.getFlatInteriorPoint();\n            this.drawText_(flatInteriorPoint, 0, 2, 2);\n        }\n    };\n    /**\n     * Render MultiPolygon geometry into the canvas.  Rendering is immediate and\n     * uses the current style.\n     * @param {import(\"../../geom/MultiPolygon.js\").default} geometry MultiPolygon geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawMultiPolygon = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry = /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        if (!intersects(this.extent_, geometry.getExtent())) {\n            return;\n        }\n        if (this.strokeState_ || this.fillState_) {\n            if (this.fillState_) {\n                this.setContextFillState_(this.fillState_);\n            }\n            if (this.strokeState_) {\n                this.setContextStrokeState_(this.strokeState_);\n            }\n            var context = this.context_;\n            var flatCoordinates = geometry.getOrientedFlatCoordinates();\n            var offset = 0;\n            var endss = geometry.getEndss();\n            var stride = geometry.getStride();\n            context.beginPath();\n            for (var i = 0, ii = endss.length; i < ii; ++i) {\n                var ends = endss[i];\n                offset = this.drawRings_(flatCoordinates, offset, ends, stride);\n            }\n            if (this.fillState_) {\n                context.fill();\n            }\n            if (this.strokeState_) {\n                context.stroke();\n            }\n        }\n        if (this.text_ !== '') {\n            var flatInteriorPoints = geometry.getFlatInteriorPoints();\n            this.drawText_(flatInteriorPoints, 0, flatInteriorPoints.length, 2);\n        }\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillState} fillState Fill state.\n     * @private\n     */\n    CanvasImmediateRenderer.prototype.setContextFillState_ = function (fillState) {\n        var context = this.context_;\n        var contextFillState = this.contextFillState_;\n        if (!contextFillState) {\n            context.fillStyle = fillState.fillStyle;\n            this.contextFillState_ = {\n                fillStyle: fillState.fillStyle,\n            };\n        }\n        else {\n            if (contextFillState.fillStyle != fillState.fillStyle) {\n                contextFillState.fillStyle = fillState.fillStyle;\n                context.fillStyle = fillState.fillStyle;\n            }\n        }\n    };\n    /**\n     * @param {import(\"../canvas.js\").StrokeState} strokeState Stroke state.\n     * @private\n     */\n    CanvasImmediateRenderer.prototype.setContextStrokeState_ = function (strokeState) {\n        var context = this.context_;\n        var contextStrokeState = this.contextStrokeState_;\n        if (!contextStrokeState) {\n            context.lineCap = strokeState.lineCap;\n            if (context.setLineDash) {\n                context.setLineDash(strokeState.lineDash);\n                context.lineDashOffset = strokeState.lineDashOffset;\n            }\n            context.lineJoin = strokeState.lineJoin;\n            context.lineWidth = strokeState.lineWidth;\n            context.miterLimit = strokeState.miterLimit;\n            context.strokeStyle = strokeState.strokeStyle;\n            this.contextStrokeState_ = {\n                lineCap: strokeState.lineCap,\n                lineDash: strokeState.lineDash,\n                lineDashOffset: strokeState.lineDashOffset,\n                lineJoin: strokeState.lineJoin,\n                lineWidth: strokeState.lineWidth,\n                miterLimit: strokeState.miterLimit,\n                strokeStyle: strokeState.strokeStyle,\n            };\n        }\n        else {\n            if (contextStrokeState.lineCap != strokeState.lineCap) {\n                contextStrokeState.lineCap = strokeState.lineCap;\n                context.lineCap = strokeState.lineCap;\n            }\n            if (context.setLineDash) {\n                if (!equals(contextStrokeState.lineDash, strokeState.lineDash)) {\n                    context.setLineDash((contextStrokeState.lineDash = strokeState.lineDash));\n                }\n                if (contextStrokeState.lineDashOffset != strokeState.lineDashOffset) {\n                    contextStrokeState.lineDashOffset = strokeState.lineDashOffset;\n                    context.lineDashOffset = strokeState.lineDashOffset;\n                }\n            }\n            if (contextStrokeState.lineJoin != strokeState.lineJoin) {\n                contextStrokeState.lineJoin = strokeState.lineJoin;\n                context.lineJoin = strokeState.lineJoin;\n            }\n            if (contextStrokeState.lineWidth != strokeState.lineWidth) {\n                contextStrokeState.lineWidth = strokeState.lineWidth;\n                context.lineWidth = strokeState.lineWidth;\n            }\n            if (contextStrokeState.miterLimit != strokeState.miterLimit) {\n                contextStrokeState.miterLimit = strokeState.miterLimit;\n                context.miterLimit = strokeState.miterLimit;\n            }\n            if (contextStrokeState.strokeStyle != strokeState.strokeStyle) {\n                contextStrokeState.strokeStyle = strokeState.strokeStyle;\n                context.strokeStyle = strokeState.strokeStyle;\n            }\n        }\n    };\n    /**\n     * @param {import(\"../canvas.js\").TextState} textState Text state.\n     * @private\n     */\n    CanvasImmediateRenderer.prototype.setContextTextState_ = function (textState) {\n        var context = this.context_;\n        var contextTextState = this.contextTextState_;\n        var textAlign = textState.textAlign\n            ? textState.textAlign\n            : defaultTextAlign;\n        if (!contextTextState) {\n            context.font = textState.font;\n            context.textAlign = /** @type {CanvasTextAlign} */ (textAlign);\n            context.textBaseline = /** @type {CanvasTextBaseline} */ (textState.textBaseline);\n            this.contextTextState_ = {\n                font: textState.font,\n                textAlign: textAlign,\n                textBaseline: textState.textBaseline,\n            };\n        }\n        else {\n            if (contextTextState.font != textState.font) {\n                contextTextState.font = textState.font;\n                context.font = textState.font;\n            }\n            if (contextTextState.textAlign != textAlign) {\n                contextTextState.textAlign = /** @type {CanvasTextAlign} */ (textAlign);\n                context.textAlign = /** @type {CanvasTextAlign} */ (textAlign);\n            }\n            if (contextTextState.textBaseline != textState.textBaseline) {\n                contextTextState.textBaseline = /** @type {CanvasTextBaseline} */ (textState.textBaseline);\n                context.textBaseline = /** @type {CanvasTextBaseline} */ (textState.textBaseline);\n            }\n        }\n    };\n    /**\n     * Set the fill and stroke style for subsequent draw operations.  To clear\n     * either fill or stroke styles, pass null for the appropriate parameter.\n     *\n     * @param {import(\"../../style/Fill.js\").default} fillStyle Fill style.\n     * @param {import(\"../../style/Stroke.js\").default} strokeStyle Stroke style.\n     */\n    CanvasImmediateRenderer.prototype.setFillStrokeStyle = function (fillStyle, strokeStyle) {\n        var _this = this;\n        if (!fillStyle) {\n            this.fillState_ = null;\n        }\n        else {\n            var fillStyleColor = fillStyle.getColor();\n            this.fillState_ = {\n                fillStyle: asColorLike(fillStyleColor ? fillStyleColor : defaultFillStyle),\n            };\n        }\n        if (!strokeStyle) {\n            this.strokeState_ = null;\n        }\n        else {\n            var strokeStyleColor = strokeStyle.getColor();\n            var strokeStyleLineCap = strokeStyle.getLineCap();\n            var strokeStyleLineDash = strokeStyle.getLineDash();\n            var strokeStyleLineDashOffset = strokeStyle.getLineDashOffset();\n            var strokeStyleLineJoin = strokeStyle.getLineJoin();\n            var strokeStyleWidth = strokeStyle.getWidth();\n            var strokeStyleMiterLimit = strokeStyle.getMiterLimit();\n            var lineDash = strokeStyleLineDash\n                ? strokeStyleLineDash\n                : defaultLineDash;\n            this.strokeState_ = {\n                lineCap: strokeStyleLineCap !== undefined\n                    ? strokeStyleLineCap\n                    : defaultLineCap,\n                lineDash: this.pixelRatio_ === 1\n                    ? lineDash\n                    : lineDash.map(function (n) { return n * _this.pixelRatio_; }),\n                lineDashOffset: (strokeStyleLineDashOffset\n                    ? strokeStyleLineDashOffset\n                    : defaultLineDashOffset) * this.pixelRatio_,\n                lineJoin: strokeStyleLineJoin !== undefined\n                    ? strokeStyleLineJoin\n                    : defaultLineJoin,\n                lineWidth: (strokeStyleWidth !== undefined\n                    ? strokeStyleWidth\n                    : defaultLineWidth) * this.pixelRatio_,\n                miterLimit: strokeStyleMiterLimit !== undefined\n                    ? strokeStyleMiterLimit\n                    : defaultMiterLimit,\n                strokeStyle: asColorLike(strokeStyleColor ? strokeStyleColor : defaultStrokeStyle),\n            };\n        }\n    };\n    /**\n     * Set the image style for subsequent draw operations.  Pass null to remove\n     * the image style.\n     *\n     * @param {import(\"../../style/Image.js\").default} imageStyle Image style.\n     */\n    CanvasImmediateRenderer.prototype.setImageStyle = function (imageStyle) {\n        var imageSize;\n        if (!imageStyle || !(imageSize = imageStyle.getSize())) {\n            this.image_ = null;\n            return;\n        }\n        var imageAnchor = imageStyle.getAnchor();\n        var imageOrigin = imageStyle.getOrigin();\n        this.image_ = imageStyle.getImage(this.pixelRatio_);\n        this.imageAnchorX_ = imageAnchor[0] * this.pixelRatio_;\n        this.imageAnchorY_ = imageAnchor[1] * this.pixelRatio_;\n        this.imageHeight_ = imageSize[1] * this.pixelRatio_;\n        this.imageOpacity_ = imageStyle.getOpacity();\n        this.imageOriginX_ = imageOrigin[0];\n        this.imageOriginY_ = imageOrigin[1];\n        this.imageRotateWithView_ = imageStyle.getRotateWithView();\n        this.imageRotation_ = imageStyle.getRotation();\n        this.imageScale_ = imageStyle.getScaleArray();\n        this.imageWidth_ = imageSize[0] * this.pixelRatio_;\n    };\n    /**\n     * Set the text style for subsequent draw operations.  Pass null to\n     * remove the text style.\n     *\n     * @param {import(\"../../style/Text.js\").default} textStyle Text style.\n     */\n    CanvasImmediateRenderer.prototype.setTextStyle = function (textStyle) {\n        if (!textStyle) {\n            this.text_ = '';\n        }\n        else {\n            var textFillStyle = textStyle.getFill();\n            if (!textFillStyle) {\n                this.textFillState_ = null;\n            }\n            else {\n                var textFillStyleColor = textFillStyle.getColor();\n                this.textFillState_ = {\n                    fillStyle: asColorLike(textFillStyleColor ? textFillStyleColor : defaultFillStyle),\n                };\n            }\n            var textStrokeStyle = textStyle.getStroke();\n            if (!textStrokeStyle) {\n                this.textStrokeState_ = null;\n            }\n            else {\n                var textStrokeStyleColor = textStrokeStyle.getColor();\n                var textStrokeStyleLineCap = textStrokeStyle.getLineCap();\n                var textStrokeStyleLineDash = textStrokeStyle.getLineDash();\n                var textStrokeStyleLineDashOffset = textStrokeStyle.getLineDashOffset();\n                var textStrokeStyleLineJoin = textStrokeStyle.getLineJoin();\n                var textStrokeStyleWidth = textStrokeStyle.getWidth();\n                var textStrokeStyleMiterLimit = textStrokeStyle.getMiterLimit();\n                this.textStrokeState_ = {\n                    lineCap: textStrokeStyleLineCap !== undefined\n                        ? textStrokeStyleLineCap\n                        : defaultLineCap,\n                    lineDash: textStrokeStyleLineDash\n                        ? textStrokeStyleLineDash\n                        : defaultLineDash,\n                    lineDashOffset: textStrokeStyleLineDashOffset\n                        ? textStrokeStyleLineDashOffset\n                        : defaultLineDashOffset,\n                    lineJoin: textStrokeStyleLineJoin !== undefined\n                        ? textStrokeStyleLineJoin\n                        : defaultLineJoin,\n                    lineWidth: textStrokeStyleWidth !== undefined\n                        ? textStrokeStyleWidth\n                        : defaultLineWidth,\n                    miterLimit: textStrokeStyleMiterLimit !== undefined\n                        ? textStrokeStyleMiterLimit\n                        : defaultMiterLimit,\n                    strokeStyle: asColorLike(textStrokeStyleColor ? textStrokeStyleColor : defaultStrokeStyle),\n                };\n            }\n            var textFont = textStyle.getFont();\n            var textOffsetX = textStyle.getOffsetX();\n            var textOffsetY = textStyle.getOffsetY();\n            var textRotateWithView = textStyle.getRotateWithView();\n            var textRotation = textStyle.getRotation();\n            var textScale = textStyle.getScaleArray();\n            var textText = textStyle.getText();\n            var textTextAlign = textStyle.getTextAlign();\n            var textTextBaseline = textStyle.getTextBaseline();\n            this.textState_ = {\n                font: textFont !== undefined ? textFont : defaultFont,\n                textAlign: textTextAlign !== undefined ? textTextAlign : defaultTextAlign,\n                textBaseline: textTextBaseline !== undefined\n                    ? textTextBaseline\n                    : defaultTextBaseline,\n            };\n            this.text_ = textText !== undefined ? textText : '';\n            this.textOffsetX_ =\n                textOffsetX !== undefined ? this.pixelRatio_ * textOffsetX : 0;\n            this.textOffsetY_ =\n                textOffsetY !== undefined ? this.pixelRatio_ * textOffsetY : 0;\n            this.textRotateWithView_ =\n                textRotateWithView !== undefined ? textRotateWithView : false;\n            this.textRotation_ = textRotation !== undefined ? textRotation : 0;\n            this.textScale_ = [\n                this.pixelRatio_ * textScale[0],\n                this.pixelRatio_ * textScale[1],\n            ];\n        }\n    };\n    return CanvasImmediateRenderer;\n}(VectorContext));\nexport default CanvasImmediateRenderer;\n//# sourceMappingURL=Immediate.js.map","/**\n * @module ol/style/IconAnchorUnits\n */\n/**\n * Icon anchor units. One of 'fraction', 'pixels'.\n * @enum {string}\n */\nexport default {\n    /**\n     * Anchor is a fraction\n     * @api\n     */\n    FRACTION: 'fraction',\n    /**\n     * Anchor is in pixels\n     * @api\n     */\n    PIXELS: 'pixels',\n};\n//# sourceMappingURL=IconAnchorUnits.js.map","/**\n * @module ol/style/IconOrigin\n */\n/**\n * Icon origin. One of 'bottom-left', 'bottom-right', 'top-left', 'top-right'.\n * @enum {string}\n */\nexport default {\n    /**\n     * Origin is at bottom left\n     * @api\n     */\n    BOTTOM_LEFT: 'bottom-left',\n    /**\n     * Origin is at bottom right\n     * @api\n     */\n    BOTTOM_RIGHT: 'bottom-right',\n    /**\n     * Origin is at top left\n     * @api\n     */\n    TOP_LEFT: 'top-left',\n    /**\n     * Origin is at top right\n     * @api\n     */\n    TOP_RIGHT: 'top-right',\n};\n//# sourceMappingURL=IconOrigin.js.map","/**\n * @module ol/style/IconImageCache\n */\nimport { asString } from '../color.js';\n/**\n * @classdesc\n * Singleton class. Available through {@link module:ol/style/IconImageCache~shared}.\n */\nvar IconImageCache = /** @class */ (function () {\n    function IconImageCache() {\n        /**\n         * @type {!Object<string, import(\"./IconImage.js\").default>}\n         * @private\n         */\n        this.cache_ = {};\n        /**\n         * @type {number}\n         * @private\n         */\n        this.cacheSize_ = 0;\n        /**\n         * @type {number}\n         * @private\n         */\n        this.maxCacheSize_ = 32;\n    }\n    /**\n     * FIXME empty description for jsdoc\n     */\n    IconImageCache.prototype.clear = function () {\n        this.cache_ = {};\n        this.cacheSize_ = 0;\n    };\n    /**\n     * @return {boolean} Can expire cache.\n     */\n    IconImageCache.prototype.canExpireCache = function () {\n        return this.cacheSize_ > this.maxCacheSize_;\n    };\n    /**\n     * FIXME empty description for jsdoc\n     */\n    IconImageCache.prototype.expire = function () {\n        if (this.canExpireCache()) {\n            var i = 0;\n            for (var key in this.cache_) {\n                var iconImage = this.cache_[key];\n                if ((i++ & 3) === 0 && !iconImage.hasListener()) {\n                    delete this.cache_[key];\n                    --this.cacheSize_;\n                }\n            }\n        }\n    };\n    /**\n     * @param {string} src Src.\n     * @param {?string} crossOrigin Cross origin.\n     * @param {import(\"../color.js\").Color} color Color.\n     * @return {import(\"./IconImage.js\").default} Icon image.\n     */\n    IconImageCache.prototype.get = function (src, crossOrigin, color) {\n        var key = getKey(src, crossOrigin, color);\n        return key in this.cache_ ? this.cache_[key] : null;\n    };\n    /**\n     * @param {string} src Src.\n     * @param {?string} crossOrigin Cross origin.\n     * @param {import(\"../color.js\").Color} color Color.\n     * @param {import(\"./IconImage.js\").default} iconImage Icon image.\n     */\n    IconImageCache.prototype.set = function (src, crossOrigin, color, iconImage) {\n        var key = getKey(src, crossOrigin, color);\n        this.cache_[key] = iconImage;\n        ++this.cacheSize_;\n    };\n    /**\n     * Set the cache size of the icon cache. Default is `32`. Change this value when\n     * your map uses more than 32 different icon images and you are not caching icon\n     * styles on the application level.\n     * @param {number} maxCacheSize Cache max size.\n     * @api\n     */\n    IconImageCache.prototype.setSize = function (maxCacheSize) {\n        this.maxCacheSize_ = maxCacheSize;\n        this.expire();\n    };\n    return IconImageCache;\n}());\n/**\n * @param {string} src Src.\n * @param {?string} crossOrigin Cross origin.\n * @param {import(\"../color.js\").Color} color Color.\n * @return {string} Cache key.\n */\nfunction getKey(src, crossOrigin, color) {\n    var colorString = color ? asString(color) : 'null';\n    return crossOrigin + ':' + src + ':' + colorString;\n}\nexport default IconImageCache;\n/**\n * The {@link module:ol/style/IconImageCache~IconImageCache} for\n * {@link module:ol/style/Icon~Icon} images.\n * @api\n */\nexport var shared = new IconImageCache();\n//# sourceMappingURL=IconImageCache.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/ImageBase\n */\nimport EventTarget from './events/Target.js';\nimport EventType from './events/EventType.js';\nimport { abstract } from './util.js';\n/**\n * @abstract\n */\nvar ImageBase = /** @class */ (function (_super) {\n    __extends(ImageBase, _super);\n    /**\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {number|undefined} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"./ImageState.js\").default} state State.\n     */\n    function ImageBase(extent, resolution, pixelRatio, state) {\n        var _this = _super.call(this) || this;\n        /**\n         * @protected\n         * @type {import(\"./extent.js\").Extent}\n         */\n        _this.extent = extent;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.pixelRatio_ = pixelRatio;\n        /**\n         * @protected\n         * @type {number|undefined}\n         */\n        _this.resolution = resolution;\n        /**\n         * @protected\n         * @type {import(\"./ImageState.js\").default}\n         */\n        _this.state = state;\n        return _this;\n    }\n    /**\n     * @protected\n     */\n    ImageBase.prototype.changed = function () {\n        this.dispatchEvent(EventType.CHANGE);\n    };\n    /**\n     * @return {import(\"./extent.js\").Extent} Extent.\n     */\n    ImageBase.prototype.getExtent = function () {\n        return this.extent;\n    };\n    /**\n     * @abstract\n     * @return {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} Image.\n     */\n    ImageBase.prototype.getImage = function () {\n        return abstract();\n    };\n    /**\n     * @return {number} PixelRatio.\n     */\n    ImageBase.prototype.getPixelRatio = function () {\n        return this.pixelRatio_;\n    };\n    /**\n     * @return {number} Resolution.\n     */\n    ImageBase.prototype.getResolution = function () {\n        return /** @type {number} */ (this.resolution);\n    };\n    /**\n     * @return {import(\"./ImageState.js\").default} State.\n     */\n    ImageBase.prototype.getState = function () {\n        return this.state;\n    };\n    /**\n     * Load not yet loaded URI.\n     * @abstract\n     */\n    ImageBase.prototype.load = function () {\n        abstract();\n    };\n    return ImageBase;\n}(EventTarget));\nexport default ImageBase;\n//# sourceMappingURL=ImageBase.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Image\n */\nimport EventType from './events/EventType.js';\nimport ImageBase from './ImageBase.js';\nimport ImageState from './ImageState.js';\nimport { IMAGE_DECODE } from './has.js';\nimport { getHeight } from './extent.js';\nimport { listenOnce, unlistenByKey } from './events.js';\n/**\n * A function that takes an {@link module:ol/Image~Image} for the image and a\n * `{string}` for the src as arguments. It is supposed to make it so the\n * underlying image {@link module:ol/Image~Image#getImage} is assigned the\n * content specified by the src. If not specified, the default is\n *\n *     function(image, src) {\n *       image.getImage().src = src;\n *     }\n *\n * Providing a custom `imageLoadFunction` can be useful to load images with\n * post requests or - in general - through XHR requests, where the src of the\n * image element would be set to a data URI when the content is loaded.\n *\n * @typedef {function(ImageWrapper, string): void} LoadFunction\n * @api\n */\nvar ImageWrapper = /** @class */ (function (_super) {\n    __extends(ImageWrapper, _super);\n    /**\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {number|undefined} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {string} src Image source URI.\n     * @param {?string} crossOrigin Cross origin.\n     * @param {LoadFunction} imageLoadFunction Image load function.\n     */\n    function ImageWrapper(extent, resolution, pixelRatio, src, crossOrigin, imageLoadFunction) {\n        var _this = _super.call(this, extent, resolution, pixelRatio, ImageState.IDLE) || this;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.src_ = src;\n        /**\n         * @private\n         * @type {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement}\n         */\n        _this.image_ = new Image();\n        if (crossOrigin !== null) {\n            _this.image_.crossOrigin = crossOrigin;\n        }\n        /**\n         * @private\n         * @type {?function():void}\n         */\n        _this.unlisten_ = null;\n        /**\n         * @protected\n         * @type {import(\"./ImageState.js\").default}\n         */\n        _this.state = ImageState.IDLE;\n        /**\n         * @private\n         * @type {LoadFunction}\n         */\n        _this.imageLoadFunction_ = imageLoadFunction;\n        return _this;\n    }\n    /**\n     * @return {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} Image.\n     * @api\n     */\n    ImageWrapper.prototype.getImage = function () {\n        return this.image_;\n    };\n    /**\n     * Tracks loading or read errors.\n     *\n     * @private\n     */\n    ImageWrapper.prototype.handleImageError_ = function () {\n        this.state = ImageState.ERROR;\n        this.unlistenImage_();\n        this.changed();\n    };\n    /**\n     * Tracks successful image load.\n     *\n     * @private\n     */\n    ImageWrapper.prototype.handleImageLoad_ = function () {\n        if (this.resolution === undefined) {\n            this.resolution = getHeight(this.extent) / this.image_.height;\n        }\n        this.state = ImageState.LOADED;\n        this.unlistenImage_();\n        this.changed();\n    };\n    /**\n     * Load the image or retry if loading previously failed.\n     * Loading is taken care of by the tile queue, and calling this method is\n     * only needed for preloading or for reloading in case of an error.\n     * @api\n     */\n    ImageWrapper.prototype.load = function () {\n        if (this.state == ImageState.IDLE || this.state == ImageState.ERROR) {\n            this.state = ImageState.LOADING;\n            this.changed();\n            this.imageLoadFunction_(this, this.src_);\n            this.unlisten_ = listenImage(this.image_, this.handleImageLoad_.bind(this), this.handleImageError_.bind(this));\n        }\n    };\n    /**\n     * @param {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} image Image.\n     */\n    ImageWrapper.prototype.setImage = function (image) {\n        this.image_ = image;\n        this.resolution = getHeight(this.extent) / this.image_.height;\n    };\n    /**\n     * Discards event handlers which listen for load completion or errors.\n     *\n     * @private\n     */\n    ImageWrapper.prototype.unlistenImage_ = function () {\n        if (this.unlisten_) {\n            this.unlisten_();\n            this.unlisten_ = null;\n        }\n    };\n    return ImageWrapper;\n}(ImageBase));\n/**\n * @param {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} image Image element.\n * @param {function():any} loadHandler Load callback function.\n * @param {function():any} errorHandler Error callback function.\n * @return {function():void} Callback to stop listening.\n */\nexport function listenImage(image, loadHandler, errorHandler) {\n    var img = /** @type {HTMLImageElement} */ (image);\n    var listening = true;\n    var decoding = false;\n    var loaded = false;\n    var listenerKeys = [\n        listenOnce(img, EventType.LOAD, function () {\n            loaded = true;\n            if (!decoding) {\n                loadHandler();\n            }\n        }),\n    ];\n    if (img.src && IMAGE_DECODE) {\n        decoding = true;\n        img\n            .decode()\n            .then(function () {\n            if (listening) {\n                loadHandler();\n            }\n        })\n            .catch(function (error) {\n            if (listening) {\n                if (loaded) {\n                    loadHandler();\n                }\n                else {\n                    errorHandler();\n                }\n            }\n        });\n    }\n    else {\n        listenerKeys.push(listenOnce(img, EventType.ERROR, errorHandler));\n    }\n    return function unlisten() {\n        listening = false;\n        listenerKeys.forEach(unlistenByKey);\n    };\n}\nexport default ImageWrapper;\n//# sourceMappingURL=Image.js.map","/**\n * @module ol/style/IconImage\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport EventTarget from '../events/Target.js';\nimport EventType from '../events/EventType.js';\nimport ImageState from '../ImageState.js';\nimport { asString } from '../color.js';\nimport { createCanvasContext2D } from '../dom.js';\nimport { shared as iconImageCache } from './IconImageCache.js';\nimport { listenImage } from '../Image.js';\n/**\n * @type {CanvasRenderingContext2D}\n */\nvar taintedTestContext = null;\nvar IconImage = /** @class */ (function (_super) {\n    __extends(IconImage, _super);\n    /**\n     * @param {HTMLImageElement|HTMLCanvasElement} image Image.\n     * @param {string|undefined} src Src.\n     * @param {import(\"../size.js\").Size} size Size.\n     * @param {?string} crossOrigin Cross origin.\n     * @param {import(\"../ImageState.js\").default} imageState Image state.\n     * @param {import(\"../color.js\").Color} color Color.\n     */\n    function IconImage(image, src, size, crossOrigin, imageState, color) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {HTMLImageElement|HTMLCanvasElement}\n         */\n        _this.hitDetectionImage_ = null;\n        /**\n         * @private\n         * @type {HTMLImageElement|HTMLCanvasElement}\n         */\n        _this.image_ = !image ? new Image() : image;\n        if (crossOrigin !== null) {\n            /** @type {HTMLImageElement} */ (_this.image_).crossOrigin = crossOrigin;\n        }\n        /**\n         * @private\n         * @type {Object<number, HTMLCanvasElement>}\n         */\n        _this.canvas_ = {};\n        /**\n         * @private\n         * @type {import(\"../color.js\").Color}\n         */\n        _this.color_ = color;\n        /**\n         * @private\n         * @type {?function():void}\n         */\n        _this.unlisten_ = null;\n        /**\n         * @private\n         * @type {import(\"../ImageState.js\").default}\n         */\n        _this.imageState_ = imageState;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        _this.size_ = size;\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        _this.src_ = src;\n        /**\n         * @private\n         */\n        _this.tainted_;\n        return _this;\n    }\n    /**\n     * @private\n     * @return {boolean} The image canvas is tainted.\n     */\n    IconImage.prototype.isTainted_ = function () {\n        if (this.tainted_ === undefined && this.imageState_ === ImageState.LOADED) {\n            if (!taintedTestContext) {\n                taintedTestContext = createCanvasContext2D(1, 1);\n            }\n            taintedTestContext.drawImage(this.image_, 0, 0);\n            try {\n                taintedTestContext.getImageData(0, 0, 1, 1);\n                this.tainted_ = false;\n            }\n            catch (e) {\n                taintedTestContext = null;\n                this.tainted_ = true;\n            }\n        }\n        return this.tainted_ === true;\n    };\n    /**\n     * @private\n     */\n    IconImage.prototype.dispatchChangeEvent_ = function () {\n        this.dispatchEvent(EventType.CHANGE);\n    };\n    /**\n     * @private\n     */\n    IconImage.prototype.handleImageError_ = function () {\n        this.imageState_ = ImageState.ERROR;\n        this.unlistenImage_();\n        this.dispatchChangeEvent_();\n    };\n    /**\n     * @private\n     */\n    IconImage.prototype.handleImageLoad_ = function () {\n        this.imageState_ = ImageState.LOADED;\n        if (this.size_) {\n            this.image_.width = this.size_[0];\n            this.image_.height = this.size_[1];\n        }\n        else {\n            this.size_ = [this.image_.width, this.image_.height];\n        }\n        this.unlistenImage_();\n        this.dispatchChangeEvent_();\n    };\n    /**\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {HTMLImageElement|HTMLCanvasElement} Image or Canvas element.\n     */\n    IconImage.prototype.getImage = function (pixelRatio) {\n        this.replaceColor_(pixelRatio);\n        return this.canvas_[pixelRatio] ? this.canvas_[pixelRatio] : this.image_;\n    };\n    /**\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Image or Canvas element.\n     */\n    IconImage.prototype.getPixelRatio = function (pixelRatio) {\n        this.replaceColor_(pixelRatio);\n        return this.canvas_[pixelRatio] ? pixelRatio : 1;\n    };\n    /**\n     * @return {import(\"../ImageState.js\").default} Image state.\n     */\n    IconImage.prototype.getImageState = function () {\n        return this.imageState_;\n    };\n    /**\n     * @return {HTMLImageElement|HTMLCanvasElement} Image element.\n     */\n    IconImage.prototype.getHitDetectionImage = function () {\n        if (!this.hitDetectionImage_) {\n            if (this.isTainted_()) {\n                var width = this.size_[0];\n                var height = this.size_[1];\n                var context = createCanvasContext2D(width, height);\n                context.fillRect(0, 0, width, height);\n                this.hitDetectionImage_ = context.canvas;\n            }\n            else {\n                this.hitDetectionImage_ = this.image_;\n            }\n        }\n        return this.hitDetectionImage_;\n    };\n    /**\n     * Get the size of the icon (in pixels).\n     * @return {import(\"../size.js\").Size} Image size.\n     */\n    IconImage.prototype.getSize = function () {\n        return this.size_;\n    };\n    /**\n     * @return {string|undefined} Image src.\n     */\n    IconImage.prototype.getSrc = function () {\n        return this.src_;\n    };\n    /**\n     * Load not yet loaded URI.\n     */\n    IconImage.prototype.load = function () {\n        if (this.imageState_ == ImageState.IDLE) {\n            this.imageState_ = ImageState.LOADING;\n            try {\n                /** @type {HTMLImageElement} */ (this.image_).src = this.src_;\n            }\n            catch (e) {\n                this.handleImageError_();\n            }\n            this.unlisten_ = listenImage(this.image_, this.handleImageLoad_.bind(this), this.handleImageError_.bind(this));\n        }\n    };\n    /**\n     * @param {number} pixelRatio Pixel ratio.\n     * @private\n     */\n    IconImage.prototype.replaceColor_ = function (pixelRatio) {\n        if (!this.color_ ||\n            this.canvas_[pixelRatio] ||\n            this.imageState_ !== ImageState.LOADED) {\n            return;\n        }\n        var canvas = document.createElement('canvas');\n        this.canvas_[pixelRatio] = canvas;\n        canvas.width = Math.ceil(this.image_.width * pixelRatio);\n        canvas.height = Math.ceil(this.image_.height * pixelRatio);\n        var ctx = canvas.getContext('2d');\n        ctx.scale(pixelRatio, pixelRatio);\n        ctx.drawImage(this.image_, 0, 0);\n        ctx.globalCompositeOperation = 'multiply';\n        // Internet Explorer 11 does not support the multiply operation.\n        // If the canvas is tainted in Internet Explorer this still produces\n        // a solid color image with the shape of the icon.\n        if (ctx.globalCompositeOperation === 'multiply' || this.isTainted_()) {\n            ctx.fillStyle = asString(this.color_);\n            ctx.fillRect(0, 0, canvas.width / pixelRatio, canvas.height / pixelRatio);\n            ctx.globalCompositeOperation = 'destination-in';\n            ctx.drawImage(this.image_, 0, 0);\n        }\n        else {\n            var imgData = ctx.getImageData(0, 0, canvas.width, canvas.height);\n            var data = imgData.data;\n            var r = this.color_[0] / 255.0;\n            var g = this.color_[1] / 255.0;\n            var b = this.color_[2] / 255.0;\n            var a = this.color_[3];\n            for (var i = 0, ii = data.length; i < ii; i += 4) {\n                data[i] *= r;\n                data[i + 1] *= g;\n                data[i + 2] *= b;\n                data[i + 3] *= a;\n            }\n            ctx.putImageData(imgData, 0, 0);\n        }\n    };\n    /**\n     * Discards event handlers which listen for load completion or errors.\n     *\n     * @private\n     */\n    IconImage.prototype.unlistenImage_ = function () {\n        if (this.unlisten_) {\n            this.unlisten_();\n            this.unlisten_ = null;\n        }\n    };\n    return IconImage;\n}(EventTarget));\n/**\n * @param {HTMLImageElement|HTMLCanvasElement} image Image.\n * @param {string} src Src.\n * @param {import(\"../size.js\").Size} size Size.\n * @param {?string} crossOrigin Cross origin.\n * @param {import(\"../ImageState.js\").default} imageState Image state.\n * @param {import(\"../color.js\").Color} color Color.\n * @return {IconImage} Icon image.\n */\nexport function get(image, src, size, crossOrigin, imageState, color) {\n    var iconImage = iconImageCache.get(src, crossOrigin, color);\n    if (!iconImage) {\n        iconImage = new IconImage(image, src, size, crossOrigin, imageState, color);\n        iconImageCache.set(src, crossOrigin, color, iconImage);\n    }\n    return iconImage;\n}\nexport default IconImage;\n//# sourceMappingURL=IconImage.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/style/Icon\n */\nimport EventType from '../events/EventType.js';\nimport IconAnchorUnits from './IconAnchorUnits.js';\nimport IconOrigin from './IconOrigin.js';\nimport ImageState from '../ImageState.js';\nimport ImageStyle from './Image.js';\nimport { asArray } from '../color.js';\nimport { assert } from '../asserts.js';\nimport { get as getIconImage } from './IconImage.js';\nimport { getUid } from '../util.js';\n/**\n * @typedef {Object} Options\n * @property {Array<number>} [anchor=[0.5, 0.5]] Anchor. Default value is the icon center.\n * @property {import(\"./IconOrigin.js\").default} [anchorOrigin='top-left'] Origin of the anchor: `bottom-left`, `bottom-right`,\n * `top-left` or `top-right`.\n * @property {import(\"./IconAnchorUnits.js\").default} [anchorXUnits='fraction'] Units in which the anchor x value is\n * specified. A value of `'fraction'` indicates the x value is a fraction of the icon. A value of `'pixels'` indicates\n * the x value in pixels.\n * @property {import(\"./IconAnchorUnits.js\").default} [anchorYUnits='fraction'] Units in which the anchor y value is\n * specified. A value of `'fraction'` indicates the y value is a fraction of the icon. A value of `'pixels'` indicates\n * the y value in pixels.\n * @property {import(\"../color.js\").Color|string} [color] Color to tint the icon. If not specified,\n * the icon will be left as is.\n * @property {null|string} [crossOrigin] The `crossOrigin` attribute for loaded images. Note that you must provide a\n * `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {HTMLImageElement|HTMLCanvasElement} [img] Image object for the icon. If the `src` option is not provided then the\n * provided image must already be loaded. And in that case, it is required\n * to provide the size of the image, with the `imgSize` option.\n * @property {Array<number>} [offset=[0, 0]] Offset, which, together with the size and the offset origin, define the\n * sub-rectangle to use from the original icon image.\n * @property {Array<number>} [displacement=[0,0]] Displacement of the icon.\n * @property {import(\"./IconOrigin.js\").default} [offsetOrigin='top-left'] Origin of the offset: `bottom-left`, `bottom-right`,\n * `top-left` or `top-right`.\n * @property {number} [opacity=1] Opacity of the icon.\n * @property {number|import(\"../size.js\").Size} [scale=1] Scale.\n * @property {boolean} [rotateWithView=false] Whether to rotate the icon with the view.\n * @property {number} [rotation=0] Rotation in radians (positive rotation clockwise).\n * @property {import(\"../size.js\").Size} [size] Icon size in pixel. Can be used together with `offset` to define the\n * sub-rectangle to use from the origin (sprite) icon image.\n * @property {import(\"../size.js\").Size} [imgSize] Image size in pixels. Only required if `img` is set and `src` is not, and\n * for SVG images in Internet Explorer 11. The provided `imgSize` needs to match the actual size of the image.\n * @property {string} [src] Image source URI.\n */\n/**\n * @classdesc\n * Set icon style for vector features.\n * @api\n */\nvar Icon = /** @class */ (function (_super) {\n    __extends(Icon, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Icon(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        /**\n         * @type {number}\n         */\n        var opacity = options.opacity !== undefined ? options.opacity : 1;\n        /**\n         * @type {number}\n         */\n        var rotation = options.rotation !== undefined ? options.rotation : 0;\n        /**\n         * @type {number|import(\"../size.js\").Size}\n         */\n        var scale = options.scale !== undefined ? options.scale : 1;\n        /**\n         * @type {boolean}\n         */\n        var rotateWithView = options.rotateWithView !== undefined ? options.rotateWithView : false;\n        _this = _super.call(this, {\n            opacity: opacity,\n            rotation: rotation,\n            scale: scale,\n            displacement: options.displacement !== undefined ? options.displacement : [0, 0],\n            rotateWithView: rotateWithView,\n        }) || this;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.anchor_ = options.anchor !== undefined ? options.anchor : [0.5, 0.5];\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.normalizedAnchor_ = null;\n        /**\n         * @private\n         * @type {import(\"./IconOrigin.js\").default}\n         */\n        _this.anchorOrigin_ =\n            options.anchorOrigin !== undefined\n                ? options.anchorOrigin\n                : IconOrigin.TOP_LEFT;\n        /**\n         * @private\n         * @type {import(\"./IconAnchorUnits.js\").default}\n         */\n        _this.anchorXUnits_ =\n            options.anchorXUnits !== undefined\n                ? options.anchorXUnits\n                : IconAnchorUnits.FRACTION;\n        /**\n         * @private\n         * @type {import(\"./IconAnchorUnits.js\").default}\n         */\n        _this.anchorYUnits_ =\n            options.anchorYUnits !== undefined\n                ? options.anchorYUnits\n                : IconAnchorUnits.FRACTION;\n        /**\n         * @private\n         * @type {?string}\n         */\n        _this.crossOrigin_ =\n            options.crossOrigin !== undefined ? options.crossOrigin : null;\n        /**\n         * @type {HTMLImageElement|HTMLCanvasElement}\n         */\n        var image = options.img !== undefined ? options.img : null;\n        /**\n         * @type {import(\"../size.js\").Size}\n         */\n        var imgSize = options.imgSize !== undefined ? options.imgSize : null;\n        /**\n         * @type {string|undefined}\n         */\n        var src = options.src;\n        assert(!(src !== undefined && image), 4); // `image` and `src` cannot be provided at the same time\n        assert(!image || (image && imgSize), 5); // `imgSize` must be set when `image` is provided\n        if ((src === undefined || src.length === 0) && image) {\n            src = /** @type {HTMLImageElement} */ (image).src || getUid(image);\n        }\n        assert(src !== undefined && src.length > 0, 6); // A defined and non-empty `src` or `image` must be provided\n        /**\n         * @type {import(\"../ImageState.js\").default}\n         */\n        var imageState = options.src !== undefined ? ImageState.IDLE : ImageState.LOADED;\n        /**\n         * @private\n         * @type {import(\"../color.js\").Color}\n         */\n        _this.color_ = options.color !== undefined ? asArray(options.color) : null;\n        /**\n         * @private\n         * @type {import(\"./IconImage.js\").default}\n         */\n        _this.iconImage_ = getIconImage(image, \n        /** @type {string} */ (src), imgSize, _this.crossOrigin_, imageState, _this.color_);\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.offset_ = options.offset !== undefined ? options.offset : [0, 0];\n        /**\n         * @private\n         * @type {import(\"./IconOrigin.js\").default}\n         */\n        _this.offsetOrigin_ =\n            options.offsetOrigin !== undefined\n                ? options.offsetOrigin\n                : IconOrigin.TOP_LEFT;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.origin_ = null;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        _this.size_ = options.size !== undefined ? options.size : null;\n        return _this;\n    }\n    /**\n     * Clones the style. The underlying Image/HTMLCanvasElement is not cloned.\n     * @return {Icon} The cloned style.\n     * @api\n     */\n    Icon.prototype.clone = function () {\n        var scale = this.getScale();\n        return new Icon({\n            anchor: this.anchor_.slice(),\n            anchorOrigin: this.anchorOrigin_,\n            anchorXUnits: this.anchorXUnits_,\n            anchorYUnits: this.anchorYUnits_,\n            crossOrigin: this.crossOrigin_,\n            color: this.color_ && this.color_.slice\n                ? this.color_.slice()\n                : this.color_ || undefined,\n            src: this.getSrc(),\n            offset: this.offset_.slice(),\n            offsetOrigin: this.offsetOrigin_,\n            size: this.size_ !== null ? this.size_.slice() : undefined,\n            opacity: this.getOpacity(),\n            scale: Array.isArray(scale) ? scale.slice() : scale,\n            rotation: this.getRotation(),\n            rotateWithView: this.getRotateWithView(),\n        });\n    };\n    /**\n     * Get the anchor point in pixels. The anchor determines the center point for the\n     * symbolizer.\n     * @return {Array<number>} Anchor.\n     * @api\n     */\n    Icon.prototype.getAnchor = function () {\n        var anchor = this.normalizedAnchor_;\n        if (!anchor) {\n            anchor = this.anchor_;\n            var size = this.getSize();\n            if (this.anchorXUnits_ == IconAnchorUnits.FRACTION ||\n                this.anchorYUnits_ == IconAnchorUnits.FRACTION) {\n                if (!size) {\n                    return null;\n                }\n                anchor = this.anchor_.slice();\n                if (this.anchorXUnits_ == IconAnchorUnits.FRACTION) {\n                    anchor[0] *= size[0];\n                }\n                if (this.anchorYUnits_ == IconAnchorUnits.FRACTION) {\n                    anchor[1] *= size[1];\n                }\n            }\n            if (this.anchorOrigin_ != IconOrigin.TOP_LEFT) {\n                if (!size) {\n                    return null;\n                }\n                if (anchor === this.anchor_) {\n                    anchor = this.anchor_.slice();\n                }\n                if (this.anchorOrigin_ == IconOrigin.TOP_RIGHT ||\n                    this.anchorOrigin_ == IconOrigin.BOTTOM_RIGHT) {\n                    anchor[0] = -anchor[0] + size[0];\n                }\n                if (this.anchorOrigin_ == IconOrigin.BOTTOM_LEFT ||\n                    this.anchorOrigin_ == IconOrigin.BOTTOM_RIGHT) {\n                    anchor[1] = -anchor[1] + size[1];\n                }\n            }\n            this.normalizedAnchor_ = anchor;\n        }\n        var displacement = this.getDisplacement();\n        return [anchor[0] - displacement[0], anchor[1] + displacement[1]];\n    };\n    /**\n     * Set the anchor point. The anchor determines the center point for the\n     * symbolizer.\n     *\n     * @param {Array<number>} anchor Anchor.\n     * @api\n     */\n    Icon.prototype.setAnchor = function (anchor) {\n        this.anchor_ = anchor;\n        this.normalizedAnchor_ = null;\n    };\n    /**\n     * Get the icon color.\n     * @return {import(\"../color.js\").Color} Color.\n     * @api\n     */\n    Icon.prototype.getColor = function () {\n        return this.color_;\n    };\n    /**\n     * Get the image icon.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {HTMLImageElement|HTMLCanvasElement} Image or Canvas element.\n     * @api\n     */\n    Icon.prototype.getImage = function (pixelRatio) {\n        return this.iconImage_.getImage(pixelRatio);\n    };\n    /**\n     * Get the pixel ratio.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} The pixel ratio of the image.\n     * @api\n     */\n    Icon.prototype.getPixelRatio = function (pixelRatio) {\n        return this.iconImage_.getPixelRatio(pixelRatio);\n    };\n    /**\n     * @return {import(\"../size.js\").Size} Image size.\n     */\n    Icon.prototype.getImageSize = function () {\n        return this.iconImage_.getSize();\n    };\n    /**\n     * @return {import(\"../ImageState.js\").default} Image state.\n     */\n    Icon.prototype.getImageState = function () {\n        return this.iconImage_.getImageState();\n    };\n    /**\n     * @return {HTMLImageElement|HTMLCanvasElement} Image element.\n     */\n    Icon.prototype.getHitDetectionImage = function () {\n        return this.iconImage_.getHitDetectionImage();\n    };\n    /**\n     * Get the origin of the symbolizer.\n     * @return {Array<number>} Origin.\n     * @api\n     */\n    Icon.prototype.getOrigin = function () {\n        if (this.origin_) {\n            return this.origin_;\n        }\n        var offset = this.offset_;\n        if (this.offsetOrigin_ != IconOrigin.TOP_LEFT) {\n            var size = this.getSize();\n            var iconImageSize = this.iconImage_.getSize();\n            if (!size || !iconImageSize) {\n                return null;\n            }\n            offset = offset.slice();\n            if (this.offsetOrigin_ == IconOrigin.TOP_RIGHT ||\n                this.offsetOrigin_ == IconOrigin.BOTTOM_RIGHT) {\n                offset[0] = iconImageSize[0] - size[0] - offset[0];\n            }\n            if (this.offsetOrigin_ == IconOrigin.BOTTOM_LEFT ||\n                this.offsetOrigin_ == IconOrigin.BOTTOM_RIGHT) {\n                offset[1] = iconImageSize[1] - size[1] - offset[1];\n            }\n        }\n        this.origin_ = offset;\n        return this.origin_;\n    };\n    /**\n     * Get the image URL.\n     * @return {string|undefined} Image src.\n     * @api\n     */\n    Icon.prototype.getSrc = function () {\n        return this.iconImage_.getSrc();\n    };\n    /**\n     * Get the size of the icon (in pixels).\n     * @return {import(\"../size.js\").Size} Image size.\n     * @api\n     */\n    Icon.prototype.getSize = function () {\n        return !this.size_ ? this.iconImage_.getSize() : this.size_;\n    };\n    /**\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    Icon.prototype.listenImageChange = function (listener) {\n        this.iconImage_.addEventListener(EventType.CHANGE, listener);\n    };\n    /**\n     * Load not yet loaded URI.\n     * When rendering a feature with an icon style, the vector renderer will\n     * automatically call this method. However, you might want to call this\n     * method yourself for preloading or other purposes.\n     * @api\n     */\n    Icon.prototype.load = function () {\n        this.iconImage_.load();\n    };\n    /**\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    Icon.prototype.unlistenImageChange = function (listener) {\n        this.iconImage_.removeEventListener(EventType.CHANGE, listener);\n    };\n    return Icon;\n}(ImageStyle));\nexport default Icon;\n//# sourceMappingURL=Icon.js.map","/**\n * @module ol/render/canvas/hitdetect\n */\nimport CanvasImmediateRenderer from './Immediate.js';\nimport GeometryType from '../../geom/GeometryType.js';\nimport IconAnchorUnits from '../../style/IconAnchorUnits.js';\nimport { Icon } from '../../style.js';\nimport { clamp } from '../../math.js';\nimport { createCanvasContext2D } from '../../dom.js';\nimport { intersects } from '../../extent.js';\nimport { numberSafeCompareFunction } from '../../array.js';\nexport var HIT_DETECT_RESOLUTION = 0.5;\n/**\n * @param {import(\"../../size.js\").Size} size Canvas size in css pixels.\n * @param {Array<import(\"../../transform.js\").Transform>} transforms Transforms\n * for rendering features to all worlds of the viewport, from coordinates to css\n * pixels.\n * @param {Array<import(\"../../Feature.js\").FeatureLike>} features\n * Features to consider for hit detection.\n * @param {import(\"../../style/Style.js\").StyleFunction|undefined} styleFunction\n * Layer style function.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @param {number} resolution Resolution.\n * @param {number} rotation Rotation.\n * @return {ImageData} Hit detection image data.\n */\nexport function createHitDetectionImageData(size, transforms, features, styleFunction, extent, resolution, rotation) {\n    var width = size[0] * HIT_DETECT_RESOLUTION;\n    var height = size[1] * HIT_DETECT_RESOLUTION;\n    var context = createCanvasContext2D(width, height);\n    context.imageSmoothingEnabled = false;\n    var canvas = context.canvas;\n    var renderer = new CanvasImmediateRenderer(context, HIT_DETECT_RESOLUTION, extent, null, rotation);\n    var featureCount = features.length;\n    // Stretch hit detection index to use the whole available color range\n    var indexFactor = Math.floor((256 * 256 * 256 - 1) / featureCount);\n    var featuresByZIndex = {};\n    for (var i = 1; i <= featureCount; ++i) {\n        var feature = features[i - 1];\n        var featureStyleFunction = feature.getStyleFunction() || styleFunction;\n        if (!styleFunction) {\n            continue;\n        }\n        var styles = featureStyleFunction(feature, resolution);\n        if (!styles) {\n            continue;\n        }\n        if (!Array.isArray(styles)) {\n            styles = [styles];\n        }\n        var index = i * indexFactor;\n        var color = '#' + ('000000' + index.toString(16)).slice(-6);\n        for (var j = 0, jj = styles.length; j < jj; ++j) {\n            var originalStyle = styles[j];\n            var geometry = originalStyle.getGeometryFunction()(feature);\n            if (!geometry || !intersects(extent, geometry.getExtent())) {\n                continue;\n            }\n            var style = originalStyle.clone();\n            var fill = style.getFill();\n            if (fill) {\n                fill.setColor(color);\n            }\n            var stroke = style.getStroke();\n            if (stroke) {\n                stroke.setColor(color);\n                stroke.setLineDash(null);\n            }\n            style.setText(undefined);\n            var image = originalStyle.getImage();\n            if (image && image.getOpacity() !== 0) {\n                var imgSize = image.getImageSize();\n                if (!imgSize) {\n                    continue;\n                }\n                var imgContext = createCanvasContext2D(imgSize[0], imgSize[1], undefined, { alpha: false });\n                var img = imgContext.canvas;\n                imgContext.fillStyle = color;\n                imgContext.fillRect(0, 0, img.width, img.height);\n                style.setImage(new Icon({\n                    img: img,\n                    imgSize: imgSize,\n                    anchor: image.getAnchor(),\n                    anchorXUnits: IconAnchorUnits.PIXELS,\n                    anchorYUnits: IconAnchorUnits.PIXELS,\n                    offset: image.getOrigin(),\n                    opacity: 1,\n                    size: image.getSize(),\n                    scale: image.getScale(),\n                    rotation: image.getRotation(),\n                    rotateWithView: image.getRotateWithView(),\n                }));\n            }\n            var zIndex = style.getZIndex() || 0;\n            var byGeometryType = featuresByZIndex[zIndex];\n            if (!byGeometryType) {\n                byGeometryType = {};\n                featuresByZIndex[zIndex] = byGeometryType;\n                byGeometryType[GeometryType.POLYGON] = [];\n                byGeometryType[GeometryType.CIRCLE] = [];\n                byGeometryType[GeometryType.LINE_STRING] = [];\n                byGeometryType[GeometryType.POINT] = [];\n            }\n            byGeometryType[geometry.getType().replace('Multi', '')].push(geometry, style);\n        }\n    }\n    var zIndexKeys = Object.keys(featuresByZIndex)\n        .map(Number)\n        .sort(numberSafeCompareFunction);\n    for (var i = 0, ii = zIndexKeys.length; i < ii; ++i) {\n        var byGeometryType = featuresByZIndex[zIndexKeys[i]];\n        for (var type in byGeometryType) {\n            var geomAndStyle = byGeometryType[type];\n            for (var j = 0, jj = geomAndStyle.length; j < jj; j += 2) {\n                renderer.setStyle(geomAndStyle[j + 1]);\n                for (var k = 0, kk = transforms.length; k < kk; ++k) {\n                    renderer.setTransform(transforms[k]);\n                    renderer.drawGeometry(geomAndStyle[j]);\n                }\n            }\n        }\n    }\n    return context.getImageData(0, 0, canvas.width, canvas.height);\n}\n/**\n * @param {import(\"../../pixel\").Pixel} pixel Pixel coordinate on the hit\n * detection canvas in css pixels.\n * @param {Array<import(\"../../Feature\").FeatureLike>} features Features. Has to\n * match the `features` array that was passed to `createHitDetectionImageData()`.\n * @param {ImageData} imageData Hit detection image data generated by\n * `createHitDetectionImageData()`.\n * @return {Array<import(\"../../Feature\").FeatureLike>} features Features.\n */\nexport function hitDetect(pixel, features, imageData) {\n    var resultFeatures = [];\n    if (imageData) {\n        var x = Math.floor(Math.round(pixel[0]) * HIT_DETECT_RESOLUTION);\n        var y = Math.floor(Math.round(pixel[1]) * HIT_DETECT_RESOLUTION);\n        // The pixel coordinate is clamped down to the hit-detect canvas' size to account\n        // for browsers returning coordinates slightly larger than the actual canvas size\n        // due to a non-integer pixel ratio.\n        var index = (clamp(x, 0, imageData.width - 1) +\n            clamp(y, 0, imageData.height - 1) * imageData.width) *\n            4;\n        var r = imageData.data[index];\n        var g = imageData.data[index + 1];\n        var b = imageData.data[index + 2];\n        var i = b + 256 * (g + 256 * r);\n        var indexFactor = Math.floor((256 * 256 * 256 - 1) / features.length);\n        if (i && i % indexFactor === 0) {\n            resultFeatures.push(features[i / indexFactor - 1]);\n        }\n    }\n    return resultFeatures;\n}\n//# sourceMappingURL=hitdetect.js.map","/**\n * @module ol/renderer/vector\n */\nimport BuilderType from '../render/canvas/BuilderType.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport ImageState from '../ImageState.js';\nimport { getUid } from '../util.js';\n/**\n * Feature callback. The callback will be called with three arguments. The first\n * argument is one {@link module:ol/Feature feature} or {@link module:ol/render/Feature render feature}\n * at the pixel, the second is the {@link module:ol/layer/Layer layer} of the feature and will be null for\n * unmanaged layers. The third is the {@link module:ol/geom/SimpleGeometry} of the feature. For features\n * with a GeometryCollection geometry, it will be the first detected geometry from the collection.\n * @template T\n * @typedef {function(import(\"../Feature.js\").FeatureLike, import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>, import(\"../geom/SimpleGeometry.js\").default): T} FeatureCallback\n */\n/**\n * Tolerance for geometry simplification in device pixels.\n * @type {number}\n */\nvar SIMPLIFY_TOLERANCE = 0.5;\n/**\n * @const\n * @type {Object<import(\"../geom/GeometryType.js\").default,\n *                function(import(\"../render/canvas/BuilderGroup.js\").default, import(\"../geom/Geometry.js\").default,\n *                         import(\"../style/Style.js\").default, Object): void>}\n */\nvar GEOMETRY_RENDERERS = {\n    'Point': renderPointGeometry,\n    'LineString': renderLineStringGeometry,\n    'Polygon': renderPolygonGeometry,\n    'MultiPoint': renderMultiPointGeometry,\n    'MultiLineString': renderMultiLineStringGeometry,\n    'MultiPolygon': renderMultiPolygonGeometry,\n    'GeometryCollection': renderGeometryCollectionGeometry,\n    'Circle': renderCircleGeometry,\n};\n/**\n * @param {import(\"../Feature.js\").FeatureLike} feature1 Feature 1.\n * @param {import(\"../Feature.js\").FeatureLike} feature2 Feature 2.\n * @return {number} Order.\n */\nexport function defaultOrder(feature1, feature2) {\n    return parseInt(getUid(feature1), 10) - parseInt(getUid(feature2), 10);\n}\n/**\n * @param {number} resolution Resolution.\n * @param {number} pixelRatio Pixel ratio.\n * @return {number} Squared pixel tolerance.\n */\nexport function getSquaredTolerance(resolution, pixelRatio) {\n    var tolerance = getTolerance(resolution, pixelRatio);\n    return tolerance * tolerance;\n}\n/**\n * @param {number} resolution Resolution.\n * @param {number} pixelRatio Pixel ratio.\n * @return {number} Pixel tolerance.\n */\nexport function getTolerance(resolution, pixelRatio) {\n    return (SIMPLIFY_TOLERANCE * resolution) / pixelRatio;\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Builder group.\n * @param {import(\"../geom/Circle.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").default} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderCircleGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var fillStyle = style.getFill();\n    var strokeStyle = style.getStroke();\n    if (fillStyle || strokeStyle) {\n        var circleReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.CIRCLE);\n        circleReplay.setFillStrokeStyle(fillStyle, strokeStyle);\n        circleReplay.drawCircle(geometry, feature);\n    }\n    var textStyle = style.getText();\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} replayGroup Replay group.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n * @param {import(\"../proj.js\").TransformFunction} [opt_transform] Transform from user to view projection.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n * @return {boolean} `true` if style is loading.\n */\nexport function renderFeature(replayGroup, feature, style, squaredTolerance, listener, opt_transform, opt_declutterBuilderGroup) {\n    var loading = false;\n    var imageStyle = style.getImage();\n    if (imageStyle) {\n        var imageState = imageStyle.getImageState();\n        if (imageState == ImageState.LOADED || imageState == ImageState.ERROR) {\n            imageStyle.unlistenImageChange(listener);\n        }\n        else {\n            if (imageState == ImageState.IDLE) {\n                imageStyle.load();\n            }\n            imageState = imageStyle.getImageState();\n            imageStyle.listenImageChange(listener);\n            loading = true;\n        }\n    }\n    renderFeatureInternal(replayGroup, feature, style, squaredTolerance, opt_transform, opt_declutterBuilderGroup);\n    return loading;\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} replayGroup Replay group.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {import(\"../proj.js\").TransformFunction} [opt_transform] Optional transform function.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderFeatureInternal(replayGroup, feature, style, squaredTolerance, opt_transform, opt_declutterBuilderGroup) {\n    var geometry = style.getGeometryFunction()(feature);\n    if (!geometry) {\n        return;\n    }\n    var simplifiedGeometry = geometry.simplifyTransformed(squaredTolerance, opt_transform);\n    var renderer = style.getRenderer();\n    if (renderer) {\n        renderGeometry(replayGroup, simplifiedGeometry, style, feature);\n    }\n    else {\n        var geometryRenderer = GEOMETRY_RENDERERS[simplifiedGeometry.getType()];\n        geometryRenderer(replayGroup, simplifiedGeometry, style, feature, opt_declutterBuilderGroup);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} replayGroup Replay group.\n * @param {import(\"../geom/Geometry.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n */\nfunction renderGeometry(replayGroup, geometry, style, feature) {\n    if (geometry.getType() == GeometryType.GEOMETRY_COLLECTION) {\n        var geometries = \n        /** @type {import(\"../geom/GeometryCollection.js\").default} */ (geometry).getGeometries();\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            renderGeometry(replayGroup, geometries[i], style, feature);\n        }\n        return;\n    }\n    var replay = replayGroup.getBuilder(style.getZIndex(), BuilderType.DEFAULT);\n    replay.drawCustom(\n    /** @type {import(\"../geom/SimpleGeometry.js\").default} */ (geometry), feature, style.getRenderer(), style.getHitDetectionRenderer());\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} replayGroup Replay group.\n * @param {import(\"../geom/GeometryCollection.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").default} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderGeometryCollectionGeometry(replayGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var geometries = geometry.getGeometriesArray();\n    var i, ii;\n    for (i = 0, ii = geometries.length; i < ii; ++i) {\n        var geometryRenderer = GEOMETRY_RENDERERS[geometries[i].getType()];\n        geometryRenderer(replayGroup, geometries[i], style, feature, opt_declutterBuilderGroup);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/LineString.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderLineStringGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var strokeStyle = style.getStroke();\n    if (strokeStyle) {\n        var lineStringReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.LINE_STRING);\n        lineStringReplay.setFillStrokeStyle(null, strokeStyle);\n        lineStringReplay.drawLineString(geometry, feature);\n    }\n    var textStyle = style.getText();\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/MultiLineString.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderMultiLineStringGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var strokeStyle = style.getStroke();\n    if (strokeStyle) {\n        var lineStringReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.LINE_STRING);\n        lineStringReplay.setFillStrokeStyle(null, strokeStyle);\n        lineStringReplay.drawMultiLineString(geometry, feature);\n    }\n    var textStyle = style.getText();\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/MultiPolygon.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").default} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderMultiPolygonGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var fillStyle = style.getFill();\n    var strokeStyle = style.getStroke();\n    if (strokeStyle || fillStyle) {\n        var polygonReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.POLYGON);\n        polygonReplay.setFillStrokeStyle(fillStyle, strokeStyle);\n        polygonReplay.drawMultiPolygon(geometry, feature);\n    }\n    var textStyle = style.getText();\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/Point.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderPointGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var imageStyle = style.getImage();\n    var textStyle = style.getText();\n    /** @type {import(\"../render/canvas.js\").DeclutterImageWithText} */\n    var declutterImageWithText;\n    if (opt_declutterBuilderGroup) {\n        builderGroup = opt_declutterBuilderGroup;\n        declutterImageWithText =\n            imageStyle && textStyle && textStyle.getText() ? {} : undefined;\n    }\n    if (imageStyle) {\n        if (imageStyle.getImageState() != ImageState.LOADED) {\n            return;\n        }\n        var imageReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.IMAGE);\n        imageReplay.setImageStyle(imageStyle, declutterImageWithText);\n        imageReplay.drawPoint(geometry, feature);\n    }\n    if (textStyle && textStyle.getText()) {\n        var textReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle, declutterImageWithText);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/MultiPoint.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderMultiPointGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var imageStyle = style.getImage();\n    var textStyle = style.getText();\n    /** @type {import(\"../render/canvas.js\").DeclutterImageWithText} */\n    var declutterImageWithText;\n    if (opt_declutterBuilderGroup) {\n        builderGroup = opt_declutterBuilderGroup;\n        declutterImageWithText =\n            imageStyle && textStyle && textStyle.getText() ? {} : undefined;\n    }\n    if (imageStyle) {\n        if (imageStyle.getImageState() != ImageState.LOADED) {\n            return;\n        }\n        var imageReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.IMAGE);\n        imageReplay.setImageStyle(imageStyle, declutterImageWithText);\n        imageReplay.drawMultiPoint(geometry, feature);\n    }\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle, declutterImageWithText);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/Polygon.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderPolygonGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var fillStyle = style.getFill();\n    var strokeStyle = style.getStroke();\n    if (fillStyle || strokeStyle) {\n        var polygonReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.POLYGON);\n        polygonReplay.setFillStrokeStyle(fillStyle, strokeStyle);\n        polygonReplay.drawPolygon(geometry, feature);\n    }\n    var textStyle = style.getText();\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle);\n        textReplay.drawText(geometry, feature);\n    }\n}\n//# sourceMappingURL=vector.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/canvas/VectorLayer\n */\nimport CanvasBuilderGroup from '../../render/canvas/BuilderGroup.js';\nimport CanvasLayerRenderer from './Layer.js';\nimport ExecutorGroup from '../../render/canvas/ExecutorGroup.js';\nimport ViewHint from '../../ViewHint.js';\nimport { HIT_DETECT_RESOLUTION, createHitDetectionImageData, hitDetect, } from '../../render/canvas/hitdetect.js';\nimport { apply, makeInverse, makeScale, toString as transformToString, } from '../../transform.js';\nimport { buffer, containsExtent, createEmpty, getWidth, intersects as intersectsExtent, wrapX as wrapExtentX, } from '../../extent.js';\nimport { cssOpacity } from '../../css.js';\nimport { defaultOrder as defaultRenderOrder, getTolerance as getRenderTolerance, getSquaredTolerance as getSquaredRenderTolerance, renderFeature, } from '../vector.js';\nimport { equals } from '../../array.js';\nimport { fromUserExtent, getTransformFromProjections, getUserProjection, toUserExtent, toUserResolution, } from '../../proj.js';\nimport { getUid } from '../../util.js';\nimport { wrapX as wrapCoordinateX } from '../../coordinate.js';\n/**\n * @classdesc\n * Canvas renderer for vector layers.\n * @api\n */\nvar CanvasVectorLayerRenderer = /** @class */ (function (_super) {\n    __extends(CanvasVectorLayerRenderer, _super);\n    /**\n     * @param {import(\"../../layer/BaseVector.js\").default} vectorLayer Vector layer.\n     */\n    function CanvasVectorLayerRenderer(vectorLayer) {\n        var _this = _super.call(this, vectorLayer) || this;\n        /** @private */\n        _this.boundHandleStyleImageChange_ = _this.handleStyleImageChange_.bind(_this);\n        /**\n         * @type {boolean}\n         */\n        _this.animatingOrInteracting_;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.dirty_ = false;\n        /**\n         * @type {ImageData}\n         */\n        _this.hitDetectionImageData_ = null;\n        /**\n         * @type {Array<import(\"../../Feature.js\").default>}\n         */\n        _this.renderedFeatures_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedRevision_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedResolution_ = NaN;\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.renderedExtent_ = createEmpty();\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.wrappedRenderedExtent_ = createEmpty();\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedRotation_;\n        /**\n         * @private\n         * @type {import(\"../../coordinate\").Coordinate}\n         */\n        _this.renderedCenter_ = null;\n        /**\n         * @private\n         * @type {import(\"../../proj/Projection\").default}\n         */\n        _this.renderedProjection_ = null;\n        /**\n         * @private\n         * @type {function(import(\"../../Feature.js\").default, import(\"../../Feature.js\").default): number|null}\n         */\n        _this.renderedRenderOrder_ = null;\n        /**\n         * @private\n         * @type {import(\"../../render/canvas/ExecutorGroup\").default}\n         */\n        _this.replayGroup_ = null;\n        /**\n         * A new replay group had to be created by `prepareFrame()`\n         * @type {boolean}\n         */\n        _this.replayGroupChanged = true;\n        /**\n         * @type {import(\"../../render/canvas/ExecutorGroup\").default}\n         */\n        _this.declutterExecutorGroup = null;\n        /**\n         * Clipping to be performed by `renderFrame()`\n         * @type {boolean}\n         */\n        _this.clipping = true;\n        return _this;\n    }\n    /**\n     * @param {ExecutorGroup} executorGroup Executor group.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"rbush\").default} [opt_declutterTree] Declutter tree.\n     */\n    CanvasVectorLayerRenderer.prototype.renderWorlds = function (executorGroup, frameState, opt_declutterTree) {\n        var extent = frameState.extent;\n        var viewState = frameState.viewState;\n        var center = viewState.center;\n        var resolution = viewState.resolution;\n        var projection = viewState.projection;\n        var rotation = viewState.rotation;\n        var projectionExtent = projection.getExtent();\n        var vectorSource = this.getLayer().getSource();\n        var pixelRatio = frameState.pixelRatio;\n        var viewHints = frameState.viewHints;\n        var snapToPixel = !(viewHints[ViewHint.ANIMATING] || viewHints[ViewHint.INTERACTING]);\n        var context = this.context;\n        var width = Math.round(frameState.size[0] * pixelRatio);\n        var height = Math.round(frameState.size[1] * pixelRatio);\n        var multiWorld = vectorSource.getWrapX() && projection.canWrapX();\n        var worldWidth = multiWorld ? getWidth(projectionExtent) : null;\n        var endWorld = multiWorld\n            ? Math.ceil((extent[2] - projectionExtent[2]) / worldWidth) + 1\n            : 1;\n        var world = multiWorld\n            ? Math.floor((extent[0] - projectionExtent[0]) / worldWidth)\n            : 0;\n        do {\n            var transform = this.getRenderTransform(center, resolution, rotation, pixelRatio, width, height, world * worldWidth);\n            executorGroup.execute(context, 1, transform, rotation, snapToPixel, undefined, opt_declutterTree);\n        } while (++world < endWorld);\n    };\n    /**\n     * Render declutter items for this layer\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    CanvasVectorLayerRenderer.prototype.renderDeclutter = function (frameState) {\n        if (this.declutterExecutorGroup) {\n            this.renderWorlds(this.declutterExecutorGroup, frameState, frameState.declutterTree);\n        }\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target that may be used to render content to.\n     * @return {HTMLElement} The rendered element.\n     */\n    CanvasVectorLayerRenderer.prototype.renderFrame = function (frameState, target) {\n        var pixelRatio = frameState.pixelRatio;\n        var layerState = frameState.layerStatesArray[frameState.layerIndex];\n        // set forward and inverse pixel transforms\n        makeScale(this.pixelTransform, 1 / pixelRatio, 1 / pixelRatio);\n        makeInverse(this.inversePixelTransform, this.pixelTransform);\n        var canvasTransform = transformToString(this.pixelTransform);\n        this.useContainer(target, canvasTransform, layerState.opacity);\n        var context = this.context;\n        var canvas = context.canvas;\n        var replayGroup = this.replayGroup_;\n        var declutterExecutorGroup = this.declutterExecutorGroup;\n        if ((!replayGroup || replayGroup.isEmpty()) &&\n            (!declutterExecutorGroup || declutterExecutorGroup.isEmpty())) {\n            return null;\n        }\n        // resize and clear\n        var width = Math.round(frameState.size[0] * pixelRatio);\n        var height = Math.round(frameState.size[1] * pixelRatio);\n        if (canvas.width != width || canvas.height != height) {\n            canvas.width = width;\n            canvas.height = height;\n            if (canvas.style.transform !== canvasTransform) {\n                canvas.style.transform = canvasTransform;\n            }\n        }\n        else if (!this.containerReused) {\n            context.clearRect(0, 0, width, height);\n        }\n        this.preRender(context, frameState);\n        var viewState = frameState.viewState;\n        var projection = viewState.projection;\n        // clipped rendering if layer extent is set\n        var clipped = false;\n        var render = true;\n        if (layerState.extent && this.clipping) {\n            var layerExtent = fromUserExtent(layerState.extent, projection);\n            render = intersectsExtent(layerExtent, frameState.extent);\n            clipped = render && !containsExtent(layerExtent, frameState.extent);\n            if (clipped) {\n                this.clipUnrotated(context, frameState, layerExtent);\n            }\n        }\n        if (render) {\n            this.renderWorlds(replayGroup, frameState);\n        }\n        if (clipped) {\n            context.restore();\n        }\n        this.postRender(context, frameState);\n        var opacity = cssOpacity(layerState.opacity);\n        var container = this.container;\n        if (opacity !== container.style.opacity) {\n            container.style.opacity = opacity;\n        }\n        if (this.renderedRotation_ !== viewState.rotation) {\n            this.renderedRotation_ = viewState.rotation;\n            this.hitDetectionImageData_ = null;\n        }\n        return this.container;\n    };\n    /**\n     * Asynchronous layer level hit detection.\n     * @param {import(\"../../pixel.js\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../../Feature\").default>>} Promise that resolves with an array of features.\n     */\n    CanvasVectorLayerRenderer.prototype.getFeatures = function (pixel) {\n        return new Promise(\n        /**\n         * @param {function(Array<import(\"../../Feature\").default|import(\"../../render/Feature\").default>): void} resolve Resolver function.\n         * @this {CanvasVectorLayerRenderer}\n         */\n        function (resolve) {\n            if (!this.hitDetectionImageData_ && !this.animatingOrInteracting_) {\n                var size = [this.context.canvas.width, this.context.canvas.height];\n                apply(this.pixelTransform, size);\n                var center = this.renderedCenter_;\n                var resolution = this.renderedResolution_;\n                var rotation = this.renderedRotation_;\n                var projection = this.renderedProjection_;\n                var extent = this.wrappedRenderedExtent_;\n                var layer = this.getLayer();\n                var transforms = [];\n                var width = size[0] * HIT_DETECT_RESOLUTION;\n                var height = size[1] * HIT_DETECT_RESOLUTION;\n                transforms.push(this.getRenderTransform(center, resolution, rotation, HIT_DETECT_RESOLUTION, width, height, 0).slice());\n                var source = layer.getSource();\n                var projectionExtent = projection.getExtent();\n                if (source.getWrapX() &&\n                    projection.canWrapX() &&\n                    !containsExtent(projectionExtent, extent)) {\n                    var startX = extent[0];\n                    var worldWidth = getWidth(projectionExtent);\n                    var world = 0;\n                    var offsetX = void 0;\n                    while (startX < projectionExtent[0]) {\n                        --world;\n                        offsetX = worldWidth * world;\n                        transforms.push(this.getRenderTransform(center, resolution, rotation, HIT_DETECT_RESOLUTION, width, height, offsetX).slice());\n                        startX += worldWidth;\n                    }\n                    world = 0;\n                    startX = extent[2];\n                    while (startX > projectionExtent[2]) {\n                        ++world;\n                        offsetX = worldWidth * world;\n                        transforms.push(this.getRenderTransform(center, resolution, rotation, HIT_DETECT_RESOLUTION, width, height, offsetX).slice());\n                        startX -= worldWidth;\n                    }\n                }\n                this.hitDetectionImageData_ = createHitDetectionImageData(size, transforms, this.renderedFeatures_, layer.getStyleFunction(), extent, resolution, rotation);\n            }\n            resolve(hitDetect(pixel, this.renderedFeatures_, this.hitDetectionImageData_));\n        }.bind(this));\n    };\n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {import(\"../vector.js\").FeatureCallback<T>} callback Feature callback.\n     * @param {Array<import(\"../Map.js\").HitMatch<T>>} matches The hit detected matches with tolerance.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    CanvasVectorLayerRenderer.prototype.forEachFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, callback, matches) {\n        var _this = this;\n        if (!this.replayGroup_) {\n            return undefined;\n        }\n        var resolution = frameState.viewState.resolution;\n        var rotation = frameState.viewState.rotation;\n        var layer = this.getLayer();\n        /** @type {!Object<string, import(\"../Map.js\").HitMatch<T>|true>} */\n        var features = {};\n        /**\n         * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n         * @param {import(\"../../geom/SimpleGeometry.js\").default} geometry Geometry.\n         * @param {number} distanceSq The squared distance to the click position\n         * @return {T|undefined} Callback result.\n         */\n        var featureCallback = function (feature, geometry, distanceSq) {\n            var key = getUid(feature);\n            var match = features[key];\n            if (!match) {\n                if (distanceSq === 0) {\n                    features[key] = true;\n                    return callback(feature, layer, geometry);\n                }\n                matches.push((features[key] = {\n                    feature: feature,\n                    layer: layer,\n                    geometry: geometry,\n                    distanceSq: distanceSq,\n                    callback: callback,\n                }));\n            }\n            else if (match !== true && distanceSq < match.distanceSq) {\n                if (distanceSq === 0) {\n                    features[key] = true;\n                    matches.splice(matches.lastIndexOf(match), 1);\n                    return callback(feature, layer, geometry);\n                }\n                match.geometry = geometry;\n                match.distanceSq = distanceSq;\n            }\n            return undefined;\n        };\n        var result;\n        var executorGroups = [this.replayGroup_];\n        if (this.declutterExecutorGroup) {\n            executorGroups.push(this.declutterExecutorGroup);\n        }\n        executorGroups.some(function (executorGroup) {\n            return (result = executorGroup.forEachFeatureAtCoordinate(coordinate, resolution, rotation, hitTolerance, featureCallback, executorGroup === _this.declutterExecutorGroup &&\n                frameState.declutterTree\n                ? frameState.declutterTree.all().map(function (item) { return item.value; })\n                : null));\n        });\n        return result;\n    };\n    /**\n     * Perform action necessary to get the layer rendered after new fonts have loaded\n     */\n    CanvasVectorLayerRenderer.prototype.handleFontsChanged = function () {\n        var layer = this.getLayer();\n        if (layer.getVisible() && this.replayGroup_) {\n            layer.changed();\n        }\n    };\n    /**\n     * Handle changes in image style state.\n     * @param {import(\"../../events/Event.js\").default} event Image style change event.\n     * @private\n     */\n    CanvasVectorLayerRenderer.prototype.handleStyleImageChange_ = function (event) {\n        this.renderIfReadyAndVisible();\n    };\n    /**\n     * Determine whether render should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    CanvasVectorLayerRenderer.prototype.prepareFrame = function (frameState) {\n        var vectorLayer = this.getLayer();\n        var vectorSource = vectorLayer.getSource();\n        if (!vectorSource) {\n            return false;\n        }\n        var animating = frameState.viewHints[ViewHint.ANIMATING];\n        var interacting = frameState.viewHints[ViewHint.INTERACTING];\n        var updateWhileAnimating = vectorLayer.getUpdateWhileAnimating();\n        var updateWhileInteracting = vectorLayer.getUpdateWhileInteracting();\n        if ((!this.dirty_ && !updateWhileAnimating && animating) ||\n            (!updateWhileInteracting && interacting)) {\n            this.animatingOrInteracting_ = true;\n            return true;\n        }\n        this.animatingOrInteracting_ = false;\n        var frameStateExtent = frameState.extent;\n        var viewState = frameState.viewState;\n        var projection = viewState.projection;\n        var resolution = viewState.resolution;\n        var pixelRatio = frameState.pixelRatio;\n        var vectorLayerRevision = vectorLayer.getRevision();\n        var vectorLayerRenderBuffer = vectorLayer.getRenderBuffer();\n        var vectorLayerRenderOrder = vectorLayer.getRenderOrder();\n        if (vectorLayerRenderOrder === undefined) {\n            vectorLayerRenderOrder = defaultRenderOrder;\n        }\n        var center = viewState.center.slice();\n        var extent = buffer(frameStateExtent, vectorLayerRenderBuffer * resolution);\n        var renderedExtent = extent.slice();\n        var loadExtents = [extent.slice()];\n        var projectionExtent = projection.getExtent();\n        if (vectorSource.getWrapX() &&\n            projection.canWrapX() &&\n            !containsExtent(projectionExtent, frameState.extent)) {\n            // For the replay group, we need an extent that intersects the real world\n            // (-180° to +180°). To support geometries in a coordinate range from -540°\n            // to +540°, we add at least 1 world width on each side of the projection\n            // extent. If the viewport is wider than the world, we need to add half of\n            // the viewport width to make sure we cover the whole viewport.\n            var worldWidth = getWidth(projectionExtent);\n            var gutter = Math.max(getWidth(extent) / 2, worldWidth);\n            extent[0] = projectionExtent[0] - gutter;\n            extent[2] = projectionExtent[2] + gutter;\n            wrapCoordinateX(center, projection);\n            var loadExtent = wrapExtentX(loadExtents[0], projection);\n            // If the extent crosses the date line, we load data for both edges of the worlds\n            if (loadExtent[0] < projectionExtent[0] &&\n                loadExtent[2] < projectionExtent[2]) {\n                loadExtents.push([\n                    loadExtent[0] + worldWidth,\n                    loadExtent[1],\n                    loadExtent[2] + worldWidth,\n                    loadExtent[3],\n                ]);\n            }\n            else if (loadExtent[0] > projectionExtent[0] &&\n                loadExtent[2] > projectionExtent[2]) {\n                loadExtents.push([\n                    loadExtent[0] - worldWidth,\n                    loadExtent[1],\n                    loadExtent[2] - worldWidth,\n                    loadExtent[3],\n                ]);\n            }\n        }\n        if (!this.dirty_ &&\n            this.renderedResolution_ == resolution &&\n            this.renderedRevision_ == vectorLayerRevision &&\n            this.renderedRenderOrder_ == vectorLayerRenderOrder &&\n            containsExtent(this.wrappedRenderedExtent_, extent)) {\n            if (!equals(this.renderedExtent_, renderedExtent)) {\n                this.hitDetectionImageData_ = null;\n                this.renderedExtent_ = renderedExtent;\n            }\n            this.renderedCenter_ = center;\n            this.replayGroupChanged = false;\n            return true;\n        }\n        this.replayGroup_ = null;\n        this.dirty_ = false;\n        var replayGroup = new CanvasBuilderGroup(getRenderTolerance(resolution, pixelRatio), extent, resolution, pixelRatio);\n        var declutterBuilderGroup;\n        if (this.getLayer().getDeclutter()) {\n            declutterBuilderGroup = new CanvasBuilderGroup(getRenderTolerance(resolution, pixelRatio), extent, resolution, pixelRatio);\n        }\n        var userProjection = getUserProjection();\n        var userTransform;\n        if (userProjection) {\n            for (var i = 0, ii = loadExtents.length; i < ii; ++i) {\n                var extent_1 = loadExtents[i];\n                var userExtent_1 = toUserExtent(extent_1, projection);\n                vectorSource.loadFeatures(userExtent_1, toUserResolution(resolution, projection), userProjection);\n            }\n            userTransform = getTransformFromProjections(userProjection, projection);\n        }\n        else {\n            for (var i = 0, ii = loadExtents.length; i < ii; ++i) {\n                vectorSource.loadFeatures(loadExtents[i], resolution, projection);\n            }\n        }\n        var squaredTolerance = getSquaredRenderTolerance(resolution, pixelRatio);\n        var render = \n        /**\n         * @param {import(\"../../Feature.js\").default} feature Feature.\n         * @this {CanvasVectorLayerRenderer}\n         */\n        function (feature) {\n            var styles;\n            var styleFunction = feature.getStyleFunction() || vectorLayer.getStyleFunction();\n            if (styleFunction) {\n                styles = styleFunction(feature, resolution);\n            }\n            if (styles) {\n                var dirty = this.renderFeature(feature, squaredTolerance, styles, replayGroup, userTransform, declutterBuilderGroup);\n                this.dirty_ = this.dirty_ || dirty;\n            }\n        }.bind(this);\n        var userExtent = toUserExtent(extent, projection);\n        /** @type {Array<import(\"../../Feature.js\").default>} */\n        var features = vectorSource.getFeaturesInExtent(userExtent);\n        if (vectorLayerRenderOrder) {\n            features.sort(vectorLayerRenderOrder);\n        }\n        for (var i = 0, ii = features.length; i < ii; ++i) {\n            render(features[i]);\n        }\n        this.renderedFeatures_ = features;\n        var replayGroupInstructions = replayGroup.finish();\n        var executorGroup = new ExecutorGroup(extent, resolution, pixelRatio, vectorSource.getOverlaps(), replayGroupInstructions, vectorLayer.getRenderBuffer());\n        if (declutterBuilderGroup) {\n            this.declutterExecutorGroup = new ExecutorGroup(extent, resolution, pixelRatio, vectorSource.getOverlaps(), declutterBuilderGroup.finish(), vectorLayer.getRenderBuffer());\n        }\n        this.renderedResolution_ = resolution;\n        this.renderedRevision_ = vectorLayerRevision;\n        this.renderedRenderOrder_ = vectorLayerRenderOrder;\n        this.renderedExtent_ = renderedExtent;\n        this.wrappedRenderedExtent_ = extent;\n        this.renderedCenter_ = center;\n        this.renderedProjection_ = projection;\n        this.replayGroup_ = executorGroup;\n        this.hitDetectionImageData_ = null;\n        this.replayGroupChanged = true;\n        return true;\n    };\n    /**\n     * @param {import(\"../../Feature.js\").default} feature Feature.\n     * @param {number} squaredTolerance Squared render tolerance.\n     * @param {import(\"../../style/Style.js\").default|Array<import(\"../../style/Style.js\").default>} styles The style or array of styles.\n     * @param {import(\"../../render/canvas/BuilderGroup.js\").default} builderGroup Builder group.\n     * @param {import(\"../../proj.js\").TransformFunction} [opt_transform] Transform from user to view projection.\n     * @param {import(\"../../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n     * @return {boolean} `true` if an image is loading.\n     */\n    CanvasVectorLayerRenderer.prototype.renderFeature = function (feature, squaredTolerance, styles, builderGroup, opt_transform, opt_declutterBuilderGroup) {\n        if (!styles) {\n            return false;\n        }\n        var loading = false;\n        if (Array.isArray(styles)) {\n            for (var i = 0, ii = styles.length; i < ii; ++i) {\n                loading =\n                    renderFeature(builderGroup, feature, styles[i], squaredTolerance, this.boundHandleStyleImageChange_, opt_transform, opt_declutterBuilderGroup) || loading;\n            }\n        }\n        else {\n            loading = renderFeature(builderGroup, feature, styles, squaredTolerance, this.boundHandleStyleImageChange_, opt_transform, opt_declutterBuilderGroup);\n        }\n        return loading;\n    };\n    return CanvasVectorLayerRenderer;\n}(CanvasLayerRenderer));\nexport default CanvasVectorLayerRenderer;\n//# sourceMappingURL=VectorLayer.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Vector\n */\nimport BaseVectorLayer from './BaseVector.js';\nimport CanvasVectorLayerRenderer from '../renderer/canvas/VectorLayer.js';\n/**\n * @classdesc\n * Vector data that is rendered client-side.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Vector.js\").default} VectorSourceType\n * @extends {BaseVectorLayer<VectorSourceType, CanvasVectorLayerRenderer>}\n * @api\n */\nvar VectorLayer = /** @class */ (function (_super) {\n    __extends(VectorLayer, _super);\n    /**\n     * @param {import(\"./BaseVector.js\").Options<VectorSourceType>} [opt_options] Options.\n     */\n    function VectorLayer(opt_options) {\n        return _super.call(this, opt_options) || this;\n    }\n    VectorLayer.prototype.createRenderer = function () {\n        return new CanvasVectorLayerRenderer(this);\n    };\n    return VectorLayer;\n}(BaseVectorLayer));\nexport default VectorLayer;\n//# sourceMappingURL=Vector.js.map","/**\n * @module ol/structs/RBush\n */\nimport RBush_ from 'rbush';\nimport { createOrUpdate, equals } from '../extent.js';\nimport { getUid } from '../util.js';\nimport { isEmpty } from '../obj.js';\n/**\n * @typedef {Object} Entry\n * @property {number} minX MinX.\n * @property {number} minY MinY.\n * @property {number} maxX MaxX.\n * @property {number} maxY MaxY.\n * @property {Object} [value] Value.\n */\n/**\n * @classdesc\n * Wrapper around the RBush by Vladimir Agafonkin.\n * See https://github.com/mourner/rbush.\n *\n * @template T\n */\nvar RBush = /** @class */ (function () {\n    /**\n     * @param {number} [opt_maxEntries] Max entries.\n     */\n    function RBush(opt_maxEntries) {\n        /**\n         * @private\n         */\n        this.rbush_ = new RBush_(opt_maxEntries);\n        /**\n         * A mapping between the objects added to this rbush wrapper\n         * and the objects that are actually added to the internal rbush.\n         * @private\n         * @type {Object<string, Entry>}\n         */\n        this.items_ = {};\n    }\n    /**\n     * Insert a value into the RBush.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {T} value Value.\n     */\n    RBush.prototype.insert = function (extent, value) {\n        /** @type {Entry} */\n        var item = {\n            minX: extent[0],\n            minY: extent[1],\n            maxX: extent[2],\n            maxY: extent[3],\n            value: value,\n        };\n        this.rbush_.insert(item);\n        this.items_[getUid(value)] = item;\n    };\n    /**\n     * Bulk-insert values into the RBush.\n     * @param {Array<import(\"../extent.js\").Extent>} extents Extents.\n     * @param {Array<T>} values Values.\n     */\n    RBush.prototype.load = function (extents, values) {\n        var items = new Array(values.length);\n        for (var i = 0, l = values.length; i < l; i++) {\n            var extent = extents[i];\n            var value = values[i];\n            /** @type {Entry} */\n            var item = {\n                minX: extent[0],\n                minY: extent[1],\n                maxX: extent[2],\n                maxY: extent[3],\n                value: value,\n            };\n            items[i] = item;\n            this.items_[getUid(value)] = item;\n        }\n        this.rbush_.load(items);\n    };\n    /**\n     * Remove a value from the RBush.\n     * @param {T} value Value.\n     * @return {boolean} Removed.\n     */\n    RBush.prototype.remove = function (value) {\n        var uid = getUid(value);\n        // get the object in which the value was wrapped when adding to the\n        // internal rbush. then use that object to do the removal.\n        var item = this.items_[uid];\n        delete this.items_[uid];\n        return this.rbush_.remove(item) !== null;\n    };\n    /**\n     * Update the extent of a value in the RBush.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {T} value Value.\n     */\n    RBush.prototype.update = function (extent, value) {\n        var item = this.items_[getUid(value)];\n        var bbox = [item.minX, item.minY, item.maxX, item.maxY];\n        if (!equals(bbox, extent)) {\n            this.remove(value);\n            this.insert(extent, value);\n        }\n    };\n    /**\n     * Return all values in the RBush.\n     * @return {Array<T>} All.\n     */\n    RBush.prototype.getAll = function () {\n        var items = this.rbush_.all();\n        return items.map(function (item) {\n            return item.value;\n        });\n    };\n    /**\n     * Return all values in the given extent.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {Array<T>} All in extent.\n     */\n    RBush.prototype.getInExtent = function (extent) {\n        /** @type {Entry} */\n        var bbox = {\n            minX: extent[0],\n            minY: extent[1],\n            maxX: extent[2],\n            maxY: extent[3],\n        };\n        var items = this.rbush_.search(bbox);\n        return items.map(function (item) {\n            return item.value;\n        });\n    };\n    /**\n     * Calls a callback function with each value in the tree.\n     * If the callback returns a truthy value, this value is returned without\n     * checking the rest of the tree.\n     * @param {function(T): *} callback Callback.\n     * @return {*} Callback return value.\n     */\n    RBush.prototype.forEach = function (callback) {\n        return this.forEach_(this.getAll(), callback);\n    };\n    /**\n     * Calls a callback function with each value in the provided extent.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {function(T): *} callback Callback.\n     * @return {*} Callback return value.\n     */\n    RBush.prototype.forEachInExtent = function (extent, callback) {\n        return this.forEach_(this.getInExtent(extent), callback);\n    };\n    /**\n     * @param {Array<T>} values Values.\n     * @param {function(T): *} callback Callback.\n     * @private\n     * @return {*} Callback return value.\n     */\n    RBush.prototype.forEach_ = function (values, callback) {\n        var result;\n        for (var i = 0, l = values.length; i < l; i++) {\n            result = callback(values[i]);\n            if (result) {\n                return result;\n            }\n        }\n        return result;\n    };\n    /**\n     * @return {boolean} Is empty.\n     */\n    RBush.prototype.isEmpty = function () {\n        return isEmpty(this.items_);\n    };\n    /**\n     * Remove all values from the RBush.\n     */\n    RBush.prototype.clear = function () {\n        this.rbush_.clear();\n        this.items_ = {};\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Extent.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     */\n    RBush.prototype.getExtent = function (opt_extent) {\n        var data = this.rbush_.toJSON();\n        return createOrUpdate(data.minX, data.minY, data.maxX, data.maxY, opt_extent);\n    };\n    /**\n     * @param {RBush} rbush R-Tree.\n     */\n    RBush.prototype.concat = function (rbush) {\n        this.rbush_.load(rbush.rbush_.all());\n        for (var i in rbush.items_) {\n            this.items_[i] = rbush.items_[i];\n        }\n    };\n    return RBush;\n}());\nexport default RBush;\n//# sourceMappingURL=RBush.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/source/Source\n */\nimport BaseObject from '../Object.js';\nimport SourceState from './State.js';\nimport { abstract } from '../util.js';\nimport { get as getProjection } from '../proj.js';\n/**\n * A function that takes a {@link module:ol/PluggableMap~FrameState} and returns a string or\n * an array of strings representing source attributions.\n *\n * @typedef {function(import(\"../PluggableMap.js\").FrameState): (string|Array<string>)} Attribution\n */\n/**\n * A type that can be used to provide attribution information for data sources.\n *\n * It represents either\n * * a simple string (e.g. `'© Acme Inc.'`)\n * * an array of simple strings (e.g. `['© Acme Inc.', '© Bacme Inc.']`)\n * * a function that returns a string or array of strings ({@link module:ol/source/Source~Attribution})\n *\n * @typedef {string|Array<string>|Attribution} AttributionLike\n */\n/**\n * @typedef {Object} Options\n * @property {AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection. Default is the view projection.\n * @property {import(\"./State.js\").default} [state='ready'] State.\n * @property {boolean} [wrapX=false] WrapX.\n * @property {boolean} [interpolate=false] Use interpolated values when resampling.  By default,\n * the nearest neighbor is used when resampling.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for {@link module:ol/layer/Layer~Layer} sources.\n *\n * A generic `change` event is triggered when the state of the source changes.\n * @abstract\n * @api\n */\nvar Source = /** @class */ (function (_super) {\n    __extends(Source, _super);\n    /**\n     * @param {Options} options Source options.\n     */\n    function Source(options) {\n        var _this = _super.call(this) || this;\n        /**\n         * @protected\n         * @type {import(\"../proj/Projection.js\").default}\n         */\n        _this.projection = getProjection(options.projection);\n        /**\n         * @private\n         * @type {?Attribution}\n         */\n        _this.attributions_ = adaptAttributions(options.attributions);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.attributionsCollapsible_ =\n            options.attributionsCollapsible !== undefined\n                ? options.attributionsCollapsible\n                : true;\n        /**\n         * This source is currently loading data. Sources that defer loading to the\n         * map's tile queue never set this to `true`.\n         * @type {boolean}\n         */\n        _this.loading = false;\n        /**\n         * @private\n         * @type {import(\"./State.js\").default}\n         */\n        _this.state_ =\n            options.state !== undefined ? options.state : SourceState.READY;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.wrapX_ = options.wrapX !== undefined ? options.wrapX : false;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.interpolate_ = !!options.interpolate;\n        /**\n         * @protected\n         * @type {function(import(\"../View.js\").ViewOptions):void}\n         */\n        _this.viewResolver = null;\n        /**\n         * @protected\n         * @type {function(Error):void}\n         */\n        _this.viewRejector = null;\n        var self = _this;\n        /**\n         * @private\n         * @type {Promise<import(\"../View.js\").ViewOptions>}\n         */\n        _this.viewPromise_ = new Promise(function (resolve, reject) {\n            self.viewResolver = resolve;\n            self.viewRejector = reject;\n        });\n        return _this;\n    }\n    /**\n     * Get the attribution function for the source.\n     * @return {?Attribution} Attribution function.\n     * @api\n     */\n    Source.prototype.getAttributions = function () {\n        return this.attributions_;\n    };\n    /**\n     * @return {boolean} Attributions are collapsible.\n     * @api\n     */\n    Source.prototype.getAttributionsCollapsible = function () {\n        return this.attributionsCollapsible_;\n    };\n    /**\n     * Get the projection of the source.\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     * @api\n     */\n    Source.prototype.getProjection = function () {\n        return this.projection;\n    };\n    /**\n     * @abstract\n     * @return {Array<number>|undefined} Resolutions.\n     */\n    Source.prototype.getResolutions = function () {\n        return abstract();\n    };\n    /**\n     * @return {Promise<import(\"../View.js\").ViewOptions>} A promise for view-related properties.\n     */\n    Source.prototype.getView = function () {\n        return this.viewPromise_;\n    };\n    /**\n     * Get the state of the source, see {@link module:ol/source/State~State} for possible states.\n     * @return {import(\"./State.js\").default} State.\n     * @api\n     */\n    Source.prototype.getState = function () {\n        return this.state_;\n    };\n    /**\n     * @return {boolean|undefined} Wrap X.\n     */\n    Source.prototype.getWrapX = function () {\n        return this.wrapX_;\n    };\n    /**\n     * @return {boolean} Use linear interpolation when resampling.\n     */\n    Source.prototype.getInterpolate = function () {\n        return this.interpolate_;\n    };\n    /**\n     * Refreshes the source. The source will be cleared, and data from the server will be reloaded.\n     * @api\n     */\n    Source.prototype.refresh = function () {\n        this.changed();\n    };\n    /**\n     * Set the attributions of the source.\n     * @param {AttributionLike|undefined} attributions Attributions.\n     *     Can be passed as `string`, `Array<string>`, {@link module:ol/source/Source~Attribution},\n     *     or `undefined`.\n     * @api\n     */\n    Source.prototype.setAttributions = function (attributions) {\n        this.attributions_ = adaptAttributions(attributions);\n        this.changed();\n    };\n    /**\n     * Set the state of the source.\n     * @param {import(\"./State.js\").default} state State.\n     */\n    Source.prototype.setState = function (state) {\n        this.state_ = state;\n        this.changed();\n    };\n    return Source;\n}(BaseObject));\n/**\n * Turns the attributions option into an attributions function.\n * @param {AttributionLike|undefined} attributionLike The attribution option.\n * @return {?Attribution} An attribution function (or null).\n */\nfunction adaptAttributions(attributionLike) {\n    if (!attributionLike) {\n        return null;\n    }\n    if (Array.isArray(attributionLike)) {\n        return function (frameState) {\n            return attributionLike;\n        };\n    }\n    if (typeof attributionLike === 'function') {\n        return attributionLike;\n    }\n    return function (frameState) {\n        return [attributionLike];\n    };\n}\nexport default Source;\n//# sourceMappingURL=Source.js.map","/**\n * @module ol/source/VectorEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered when a feature is added to the source.\n     * @event module:ol/source/Vector.VectorSourceEvent#addfeature\n     * @api\n     */\n    ADDFEATURE: 'addfeature',\n    /**\n     * Triggered when a feature is updated.\n     * @event module:ol/source/Vector.VectorSourceEvent#changefeature\n     * @api\n     */\n    CHANGEFEATURE: 'changefeature',\n    /**\n     * Triggered when the clear method is called on the source.\n     * @event module:ol/source/Vector.VectorSourceEvent#clear\n     * @api\n     */\n    CLEAR: 'clear',\n    /**\n     * Triggered when a feature is removed from the source.\n     * See {@link module:ol/source/Vector~VectorSource#clear source.clear()} for exceptions.\n     * @event module:ol/source/Vector.VectorSourceEvent#removefeature\n     * @api\n     */\n    REMOVEFEATURE: 'removefeature',\n    /**\n     * Triggered when features starts loading.\n     * @event module:ol/source/Vector.VectorSourceEvent#featuresloadstart\n     * @api\n     */\n    FEATURESLOADSTART: 'featuresloadstart',\n    /**\n     * Triggered when features finishes loading.\n     * @event module:ol/source/Vector.VectorSourceEvent#featuresloadend\n     * @api\n     */\n    FEATURESLOADEND: 'featuresloadend',\n    /**\n     * Triggered if feature loading results in an error.\n     * @event module:ol/source/Vector.VectorSourceEvent#featuresloaderror\n     * @api\n     */\n    FEATURESLOADERROR: 'featuresloaderror',\n};\n/**\n * @typedef {'addfeature'|'changefeature'|'clear'|'removefeature'|'featuresloadstart'|'featuresloadend'|'featuresloaderror'} VectorSourceEventTypes\n */\n//# sourceMappingURL=VectorEventType.js.map","/**\n * @module ol/loadingstrategy\n */\nimport { fromUserExtent, fromUserResolution, toUserExtent } from './proj.js';\n/**\n * Strategy function for loading all features with a single request.\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {number} resolution Resolution.\n * @return {Array<import(\"./extent.js\").Extent>} Extents.\n * @api\n */\nexport function all(extent, resolution) {\n    return [[-Infinity, -Infinity, Infinity, Infinity]];\n}\n/**\n * Strategy function for loading features based on the view's extent and\n * resolution.\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {number} resolution Resolution.\n * @return {Array<import(\"./extent.js\").Extent>} Extents.\n * @api\n */\nexport function bbox(extent, resolution) {\n    return [extent];\n}\n/**\n * Creates a strategy function for loading features based on a tile grid.\n * @param {import(\"./tilegrid/TileGrid.js\").default} tileGrid Tile grid.\n * @return {function(import(\"./extent.js\").Extent, number, import(\"./proj.js\").Projection): Array<import(\"./extent.js\").Extent>} Loading strategy.\n * @api\n */\nexport function tile(tileGrid) {\n    return (\n    /**\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {import(\"./proj.js\").Projection} projection Projection.\n     * @return {Array<import(\"./extent.js\").Extent>} Extents.\n     */\n    function (extent, resolution, projection) {\n        var z = tileGrid.getZForResolution(fromUserResolution(resolution, projection));\n        var tileRange = tileGrid.getTileRangeForExtentAndZ(fromUserExtent(extent, projection), z);\n        /** @type {Array<import(\"./extent.js\").Extent>} */\n        var extents = [];\n        /** @type {import(\"./tilecoord.js\").TileCoord} */\n        var tileCoord = [z, 0, 0];\n        for (tileCoord[1] = tileRange.minX; tileCoord[1] <= tileRange.maxX; ++tileCoord[1]) {\n            for (tileCoord[2] = tileRange.minY; tileCoord[2] <= tileRange.maxY; ++tileCoord[2]) {\n                extents.push(toUserExtent(tileGrid.getTileCoordExtent(tileCoord), projection));\n            }\n        }\n        return extents;\n    });\n}\n//# sourceMappingURL=loadingstrategy.js.map","/**\n * @module ol/format/FormatType\n */\n/**\n * @enum {string}\n */\nexport default {\n    ARRAY_BUFFER: 'arraybuffer',\n    JSON: 'json',\n    TEXT: 'text',\n    XML: 'xml',\n};\n//# sourceMappingURL=FormatType.js.map","/**\n * @module ol/featureloader\n */\nimport FormatType from './format/FormatType.js';\nimport { VOID } from './functions.js';\n/**\n *\n * @type {boolean}\n * @private\n */\nvar withCredentials = false;\n/**\n * {@link module:ol/source/Vector} sources use a function of this type to\n * load features.\n *\n * This function takes up to 5 arguments. These are an {@link module:ol/extent~Extent} representing\n * the area to be loaded, a `{number}` representing the resolution (map units per pixel), an\n * {@link module:ol/proj/Projection} for the projection, an optional success callback that should get\n * the loaded features passed as an argument and an optional failure callback with no arguments. If\n * the callbacks are not used, the corresponding vector source will not fire `'featuresloadend'` and\n * `'featuresloaderror'` events. `this` within the function is bound to the\n * {@link module:ol/source/Vector} it's called from.\n *\n * The function is responsible for loading the features and adding them to the\n * source.\n * @typedef {function(this:(import(\"./source/Vector\").default|import(\"./VectorTile.js\").default),\n *           import(\"./extent.js\").Extent,\n *           number,\n *           import(\"./proj/Projection.js\").default,\n *           function(Array<import(\"./Feature.js\").default>): void=,\n *           function(): void=): void} FeatureLoader\n * @api\n */\n/**\n * {@link module:ol/source/Vector} sources use a function of this type to\n * get the url to load features from.\n *\n * This function takes an {@link module:ol/extent~Extent} representing the area\n * to be loaded, a `{number}` representing the resolution (map units per pixel)\n * and an {@link module:ol/proj/Projection} for the projection  as\n * arguments and returns a `{string}` representing the URL.\n * @typedef {function(import(\"./extent.js\").Extent, number, import(\"./proj/Projection.js\").default): string} FeatureUrlFunction\n * @api\n */\n/**\n * @param {string|FeatureUrlFunction} url Feature URL service.\n * @param {import(\"./format/Feature.js\").default} format Feature format.\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {number} resolution Resolution.\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @param {function(Array<import(\"./Feature.js\").default>, import(\"./proj/Projection.js\").default): void} success Success\n *      Function called with the loaded features and optionally with the data projection.\n * @param {function(): void} failure Failure\n *      Function called when loading failed.\n */\nexport function loadFeaturesXhr(url, format, extent, resolution, projection, success, failure) {\n    var xhr = new XMLHttpRequest();\n    xhr.open('GET', typeof url === 'function' ? url(extent, resolution, projection) : url, true);\n    if (format.getType() == FormatType.ARRAY_BUFFER) {\n        xhr.responseType = 'arraybuffer';\n    }\n    xhr.withCredentials = withCredentials;\n    /**\n     * @param {Event} event Event.\n     * @private\n     */\n    xhr.onload = function (event) {\n        // status will be 0 for file:// urls\n        if (!xhr.status || (xhr.status >= 200 && xhr.status < 300)) {\n            var type = format.getType();\n            /** @type {Document|Node|Object|string|undefined} */\n            var source = void 0;\n            if (type == FormatType.JSON || type == FormatType.TEXT) {\n                source = xhr.responseText;\n            }\n            else if (type == FormatType.XML) {\n                source = xhr.responseXML;\n                if (!source) {\n                    source = new DOMParser().parseFromString(xhr.responseText, 'application/xml');\n                }\n            }\n            else if (type == FormatType.ARRAY_BUFFER) {\n                source = /** @type {ArrayBuffer} */ (xhr.response);\n            }\n            if (source) {\n                success(\n                /** @type {Array<import(\"./Feature.js\").default>} */\n                (format.readFeatures(source, {\n                    extent: extent,\n                    featureProjection: projection,\n                })), format.readProjection(source));\n            }\n            else {\n                failure();\n            }\n        }\n        else {\n            failure();\n        }\n    };\n    /**\n     * @private\n     */\n    xhr.onerror = failure;\n    xhr.send();\n}\n/**\n * Create an XHR feature loader for a `url` and `format`. The feature loader\n * loads features (with XHR), parses the features, and adds them to the\n * vector source.\n * @param {string|FeatureUrlFunction} url Feature URL service.\n * @param {import(\"./format/Feature.js\").default} format Feature format.\n * @return {FeatureLoader} The feature loader.\n * @api\n */\nexport function xhr(url, format) {\n    /**\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {import(\"./proj/Projection.js\").default} projection Projection.\n     * @param {function(Array<import(\"./Feature.js\").default>): void} [success] Success\n     *      Function called when loading succeeded.\n     * @param {function(): void} [failure] Failure\n     *      Function called when loading failed.\n     * @this {import(\"./source/Vector\").default}\n     */\n    return function (extent, resolution, projection, success, failure) {\n        var source = /** @type {import(\"./source/Vector\").default} */ (this);\n        loadFeaturesXhr(url, format, extent, resolution, projection, \n        /**\n         * @param {Array<import(\"./Feature.js\").default>} features The loaded features.\n         * @param {import(\"./proj/Projection.js\").default} dataProjection Data\n         * projection.\n         */\n        function (features, dataProjection) {\n            source.addFeatures(features);\n            if (success !== undefined) {\n                success(features);\n            }\n        }, \n        /* FIXME handle error */ failure ? failure : VOID);\n    };\n}\n/**\n * Setter for the withCredentials configuration for the XHR.\n *\n * @param {boolean} xhrWithCredentials The value of withCredentials to set.\n * Compare https://developer.mozilla.org/en-US/docs/Web/API/XMLHttpRequest/\n * @api\n */\nexport function setWithCredentials(xhrWithCredentials) {\n    withCredentials = xhrWithCredentials;\n}\n//# sourceMappingURL=featureloader.js.map","/**\n * @module ol/source/Vector\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport Collection from '../Collection.js';\nimport CollectionEventType from '../CollectionEventType.js';\nimport Event from '../events/Event.js';\nimport EventType from '../events/EventType.js';\nimport ObjectEventType from '../ObjectEventType.js';\nimport RBush from '../structs/RBush.js';\nimport Source from './Source.js';\nimport SourceState from './State.js';\nimport VectorEventType from './VectorEventType.js';\nimport { TRUE, VOID } from '../functions.js';\nimport { all as allStrategy } from '../loadingstrategy.js';\nimport { assert } from '../asserts.js';\nimport { containsExtent, equals } from '../extent.js';\nimport { extend } from '../array.js';\nimport { getUid } from '../util.js';\nimport { getValues, isEmpty } from '../obj.js';\nimport { listen, unlistenByKey } from '../events.js';\nimport { xhr } from '../featureloader.js';\n/**\n * A function that takes an {@link module:ol/extent~Extent} and a resolution as arguments, and\n * returns an array of {@link module:ol/extent~Extent} with the extents to load. Usually this\n * is one of the standard {@link module:ol/loadingstrategy} strategies.\n *\n * @typedef {function(import(\"../extent.js\").Extent, number, import(\"../proj/Projection.js\").default): Array<import(\"../extent.js\").Extent>} LoadingStrategy\n * @api\n */\n/**\n * @classdesc\n * Events emitted by {@link module:ol/source/Vector} instances are instances of this\n * type.\n * @template {import(\"../geom/Geometry.js\").default} Geometry\n */\nvar VectorSourceEvent = /** @class */ (function (_super) {\n    __extends(VectorSourceEvent, _super);\n    /**\n     * @param {string} type Type.\n     * @param {import(\"../Feature.js\").default<Geometry>} [opt_feature] Feature.\n     * @param {Array<import(\"../Feature.js\").default<Geometry>>} [opt_features] Features.\n     */\n    function VectorSourceEvent(type, opt_feature, opt_features) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The added or removed feature for the `ADDFEATURE` and `REMOVEFEATURE` events, `undefined` otherwise.\n         * @type {import(\"../Feature.js\").default<Geometry>|undefined}\n         * @api\n         */\n        _this.feature = opt_feature;\n        /**\n         * The loaded features for the `FEATURESLOADED` event, `undefined` otherwise.\n         * @type {Array<import(\"../Feature.js\").default<Geometry>>|undefined}\n         * @api\n         */\n        _this.features = opt_features;\n        return _this;\n    }\n    return VectorSourceEvent;\n}(Event));\nexport { VectorSourceEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types, import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./VectorEventType\").VectorSourceEventTypes, VectorSourceEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     import(\"./VectorEventType\").VectorSourceEventTypes, Return>} VectorSourceOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {Array<import(\"../Feature.js\").default>|Collection<import(\"../Feature.js\").default>} [features]\n * Features. If provided as {@link module:ol/Collection}, the features in the source\n * and the collection will stay in sync.\n * @property {import(\"../format/Feature.js\").default} [format] The feature format used by the XHR\n * feature loader when `url` is set. Required if `url` is set, otherwise ignored.\n * @property {import(\"../featureloader.js\").FeatureLoader} [loader]\n * The loader function used to load features, from a remote source for example.\n * If this is not set and `url` is set, the source will create and use an XHR\n * feature loader. The `'featuresloadend'` and `'featuresloaderror'` events\n * will only fire if the `success` and `failure` callbacks are used.\n *\n * Example:\n *\n * ```js\n * import {Vector} from 'ol/source';\n * import {GeoJSON} from 'ol/format';\n * import {bbox} from 'ol/loadingstrategy';\n *\n * var vectorSource = new Vector({\n *   format: new GeoJSON(),\n *   loader: function(extent, resolution, projection, success, failure) {\n *      var proj = projection.getCode();\n *      var url = 'https://ahocevar.com/geoserver/wfs?service=WFS&' +\n *          'version=1.1.0&request=GetFeature&typename=osm:water_areas&' +\n *          'outputFormat=application/json&srsname=' + proj + '&' +\n *          'bbox=' + extent.join(',') + ',' + proj;\n *      var xhr = new XMLHttpRequest();\n *      xhr.open('GET', url);\n *      var onError = function() {\n *        vectorSource.removeLoadedExtent(extent);\n *        failure();\n *      }\n *      xhr.onerror = onError;\n *      xhr.onload = function() {\n *        if (xhr.status == 200) {\n *          var features = vectorSource.getFormat().readFeatures(xhr.responseText);\n *          vectorSource.addFeatures(features);\n *          success(features);\n *        } else {\n *          onError();\n *        }\n *      }\n *      xhr.send();\n *    },\n *    strategy: bbox\n *  });\n * ```\n * @property {boolean} [overlaps=true] This source may have overlapping geometries.\n * Setting this to `false` (e.g. for sources with polygons that represent administrative\n * boundaries or TopoJSON sources) allows the renderer to optimise fill and\n * stroke operations.\n * @property {LoadingStrategy} [strategy] The loading strategy to use.\n * By default an {@link module:ol/loadingstrategy.all}\n * strategy is used, a one-off strategy which loads all features at once.\n * @property {string|import(\"../featureloader.js\").FeatureUrlFunction} [url]\n * Setting this option instructs the source to load features using an XHR loader\n * (see {@link module:ol/featureloader.xhr}). Use a `string` and an\n * {@link module:ol/loadingstrategy.all} for a one-off download of all features from\n * the given URL. Use a {@link module:ol/featureloader~FeatureUrlFunction} to generate the url with\n * other loading strategies.\n * Requires `format` to be set as well.\n * When default XHR feature loader is provided, the features will\n * be transformed from the data projection to the view projection\n * during parsing. If your remote data source does not advertise its projection\n * properly, this transformation will be incorrect. For some formats, the\n * default projection (usually EPSG:4326) can be overridden by setting the\n * dataProjection constructor option on the format.\n * Note that if a source contains non-feature data, such as a GeoJSON geometry\n * or a KML NetworkLink, these will be ignored. Use a custom loader to load these.\n * @property {boolean} [useSpatialIndex=true]\n * By default, an RTree is used as spatial index. When features are removed and\n * added frequently, and the total number of features is low, setting this to\n * `false` may improve performance.\n *\n * Note that\n * {@link module:ol/source/Vector~VectorSource#getFeaturesInExtent},\n * {@link module:ol/source/Vector~VectorSource#getClosestFeatureToCoordinate} and\n * {@link module:ol/source/Vector~VectorSource#getExtent} cannot be used when `useSpatialIndex` is\n * set to `false`, and {@link module:ol/source/Vector~VectorSource#forEachFeatureInExtent} will loop\n * through all features.\n *\n * When set to `false`, the features will be maintained in an\n * {@link module:ol/Collection}, which can be retrieved through\n * {@link module:ol/source/Vector~VectorSource#getFeaturesCollection}.\n * @property {boolean} [wrapX=true] Wrap the world horizontally. For vector editing across the\n * -180° and 180° meridians to work properly, this should be set to `false`. The\n * resulting geometry coordinates will then exceed the world bounds.\n */\n/**\n * @classdesc\n * Provides a source of features for vector layers. Vector features provided\n * by this source are suitable for editing. See {@link module:ol/source/VectorTile~VectorTile} for\n * vector data that is optimized for rendering.\n *\n * @fires VectorSourceEvent\n * @api\n * @template {import(\"../geom/Geometry.js\").default} Geometry\n */\nvar VectorSource = /** @class */ (function (_super) {\n    __extends(VectorSource, _super);\n    /**\n     * @param {Options} [opt_options] Vector source options.\n     */\n    function VectorSource(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            projection: undefined,\n            state: SourceState.READY,\n            wrapX: options.wrapX !== undefined ? options.wrapX : true,\n        }) || this;\n        /***\n         * @type {VectorSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {VectorSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {VectorSourceOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {import(\"../featureloader.js\").FeatureLoader}\n         */\n        _this.loader_ = VOID;\n        /**\n         * @private\n         * @type {import(\"../format/Feature.js\").default|undefined}\n         */\n        _this.format_ = options.format;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.overlaps_ = options.overlaps === undefined ? true : options.overlaps;\n        /**\n         * @private\n         * @type {string|import(\"../featureloader.js\").FeatureUrlFunction|undefined}\n         */\n        _this.url_ = options.url;\n        if (options.loader !== undefined) {\n            _this.loader_ = options.loader;\n        }\n        else if (_this.url_ !== undefined) {\n            assert(_this.format_, 7); // `format` must be set when `url` is set\n            // create a XHR feature loader for \"url\" and \"format\"\n            _this.loader_ = xhr(_this.url_, \n            /** @type {import(\"../format/Feature.js\").default} */ (_this.format_));\n        }\n        /**\n         * @private\n         * @type {LoadingStrategy}\n         */\n        _this.strategy_ =\n            options.strategy !== undefined ? options.strategy : allStrategy;\n        var useSpatialIndex = options.useSpatialIndex !== undefined ? options.useSpatialIndex : true;\n        /**\n         * @private\n         * @type {RBush<import(\"../Feature.js\").default<Geometry>>}\n         */\n        _this.featuresRtree_ = useSpatialIndex ? new RBush() : null;\n        /**\n         * @private\n         * @type {RBush<{extent: import(\"../extent.js\").Extent}>}\n         */\n        _this.loadedExtentsRtree_ = new RBush();\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.loadingExtentsCount_ = 0;\n        /**\n         * @private\n         * @type {!Object<string, import(\"../Feature.js\").default<Geometry>>}\n         */\n        _this.nullGeometryFeatures_ = {};\n        /**\n         * A lookup of features by id (the return from feature.getId()).\n         * @private\n         * @type {!Object<string, import(\"../Feature.js\").default<Geometry>>}\n         */\n        _this.idIndex_ = {};\n        /**\n         * A lookup of features by uid (using getUid(feature)).\n         * @private\n         * @type {!Object<string, import(\"../Feature.js\").default<Geometry>>}\n         */\n        _this.uidIndex_ = {};\n        /**\n         * @private\n         * @type {Object<string, Array<import(\"../events.js\").EventsKey>>}\n         */\n        _this.featureChangeKeys_ = {};\n        /**\n         * @private\n         * @type {Collection<import(\"../Feature.js\").default<Geometry>>}\n         */\n        _this.featuresCollection_ = null;\n        var collection, features;\n        if (Array.isArray(options.features)) {\n            features = options.features;\n        }\n        else if (options.features) {\n            collection = options.features;\n            features = collection.getArray();\n        }\n        if (!useSpatialIndex && collection === undefined) {\n            collection = new Collection(features);\n        }\n        if (features !== undefined) {\n            _this.addFeaturesInternal(features);\n        }\n        if (collection !== undefined) {\n            _this.bindFeaturesCollection_(collection);\n        }\n        return _this;\n    }\n    /**\n     * Add a single feature to the source.  If you want to add a batch of features\n     * at once, call {@link module:ol/source/Vector~VectorSource#addFeatures #addFeatures()}\n     * instead. A feature will not be added to the source if feature with\n     * the same id is already there. The reason for this behavior is to avoid\n     * feature duplication when using bbox or tile loading strategies.\n     * Note: this also applies if an {@link module:ol/Collection} is used for features,\n     * meaning that if a feature with a duplicate id is added in the collection, it will\n     * be removed from it right away.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature Feature to add.\n     * @api\n     */\n    VectorSource.prototype.addFeature = function (feature) {\n        this.addFeatureInternal(feature);\n        this.changed();\n    };\n    /**\n     * Add a feature without firing a `change` event.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature Feature.\n     * @protected\n     */\n    VectorSource.prototype.addFeatureInternal = function (feature) {\n        var featureKey = getUid(feature);\n        if (!this.addToIndex_(featureKey, feature)) {\n            if (this.featuresCollection_) {\n                this.featuresCollection_.remove(feature);\n            }\n            return;\n        }\n        this.setupChangeEvents_(featureKey, feature);\n        var geometry = feature.getGeometry();\n        if (geometry) {\n            var extent = geometry.getExtent();\n            if (this.featuresRtree_) {\n                this.featuresRtree_.insert(extent, feature);\n            }\n        }\n        else {\n            this.nullGeometryFeatures_[featureKey] = feature;\n        }\n        this.dispatchEvent(new VectorSourceEvent(VectorEventType.ADDFEATURE, feature));\n    };\n    /**\n     * @param {string} featureKey Unique identifier for the feature.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature The feature.\n     * @private\n     */\n    VectorSource.prototype.setupChangeEvents_ = function (featureKey, feature) {\n        this.featureChangeKeys_[featureKey] = [\n            listen(feature, EventType.CHANGE, this.handleFeatureChange_, this),\n            listen(feature, ObjectEventType.PROPERTYCHANGE, this.handleFeatureChange_, this),\n        ];\n    };\n    /**\n     * @param {string} featureKey Unique identifier for the feature.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature The feature.\n     * @return {boolean} The feature is \"valid\", in the sense that it is also a\n     *     candidate for insertion into the Rtree.\n     * @private\n     */\n    VectorSource.prototype.addToIndex_ = function (featureKey, feature) {\n        var valid = true;\n        var id = feature.getId();\n        if (id !== undefined) {\n            if (!(id.toString() in this.idIndex_)) {\n                this.idIndex_[id.toString()] = feature;\n            }\n            else {\n                valid = false;\n            }\n        }\n        if (valid) {\n            assert(!(featureKey in this.uidIndex_), 30); // The passed `feature` was already added to the source\n            this.uidIndex_[featureKey] = feature;\n        }\n        return valid;\n    };\n    /**\n     * Add a batch of features to the source.\n     * @param {Array<import(\"../Feature.js\").default<Geometry>>} features Features to add.\n     * @api\n     */\n    VectorSource.prototype.addFeatures = function (features) {\n        this.addFeaturesInternal(features);\n        this.changed();\n    };\n    /**\n     * Add features without firing a `change` event.\n     * @param {Array<import(\"../Feature.js\").default<Geometry>>} features Features.\n     * @protected\n     */\n    VectorSource.prototype.addFeaturesInternal = function (features) {\n        var extents = [];\n        var newFeatures = [];\n        var geometryFeatures = [];\n        for (var i = 0, length_1 = features.length; i < length_1; i++) {\n            var feature = features[i];\n            var featureKey = getUid(feature);\n            if (this.addToIndex_(featureKey, feature)) {\n                newFeatures.push(feature);\n            }\n        }\n        for (var i = 0, length_2 = newFeatures.length; i < length_2; i++) {\n            var feature = newFeatures[i];\n            var featureKey = getUid(feature);\n            this.setupChangeEvents_(featureKey, feature);\n            var geometry = feature.getGeometry();\n            if (geometry) {\n                var extent = geometry.getExtent();\n                extents.push(extent);\n                geometryFeatures.push(feature);\n            }\n            else {\n                this.nullGeometryFeatures_[featureKey] = feature;\n            }\n        }\n        if (this.featuresRtree_) {\n            this.featuresRtree_.load(extents, geometryFeatures);\n        }\n        for (var i = 0, length_3 = newFeatures.length; i < length_3; i++) {\n            this.dispatchEvent(new VectorSourceEvent(VectorEventType.ADDFEATURE, newFeatures[i]));\n        }\n    };\n    /**\n     * @param {!Collection<import(\"../Feature.js\").default<Geometry>>} collection Collection.\n     * @private\n     */\n    VectorSource.prototype.bindFeaturesCollection_ = function (collection) {\n        var modifyingCollection = false;\n        this.addEventListener(VectorEventType.ADDFEATURE, \n        /**\n         * @param {VectorSourceEvent<Geometry>} evt The vector source event\n         */\n        function (evt) {\n            if (!modifyingCollection) {\n                modifyingCollection = true;\n                collection.push(evt.feature);\n                modifyingCollection = false;\n            }\n        });\n        this.addEventListener(VectorEventType.REMOVEFEATURE, \n        /**\n         * @param {VectorSourceEvent<Geometry>} evt The vector source event\n         */\n        function (evt) {\n            if (!modifyingCollection) {\n                modifyingCollection = true;\n                collection.remove(evt.feature);\n                modifyingCollection = false;\n            }\n        });\n        collection.addEventListener(CollectionEventType.ADD, \n        /**\n         * @param {import(\"../Collection.js\").CollectionEvent} evt The collection event\n         */\n        function (evt) {\n            if (!modifyingCollection) {\n                modifyingCollection = true;\n                this.addFeature(\n                /** @type {import(\"../Feature.js\").default<Geometry>} */ (evt.element));\n                modifyingCollection = false;\n            }\n        }.bind(this));\n        collection.addEventListener(CollectionEventType.REMOVE, \n        /**\n         * @param {import(\"../Collection.js\").CollectionEvent} evt The collection event\n         */\n        function (evt) {\n            if (!modifyingCollection) {\n                modifyingCollection = true;\n                this.removeFeature(\n                /** @type {import(\"../Feature.js\").default<Geometry>} */ (evt.element));\n                modifyingCollection = false;\n            }\n        }.bind(this));\n        this.featuresCollection_ = collection;\n    };\n    /**\n     * Remove all features from the source.\n     * @param {boolean} [opt_fast] Skip dispatching of {@link module:ol/source/Vector.VectorSourceEvent#event:removefeature removefeature} events.\n     * @api\n     */\n    VectorSource.prototype.clear = function (opt_fast) {\n        if (opt_fast) {\n            for (var featureId in this.featureChangeKeys_) {\n                var keys = this.featureChangeKeys_[featureId];\n                keys.forEach(unlistenByKey);\n            }\n            if (!this.featuresCollection_) {\n                this.featureChangeKeys_ = {};\n                this.idIndex_ = {};\n                this.uidIndex_ = {};\n            }\n        }\n        else {\n            if (this.featuresRtree_) {\n                var removeAndIgnoreReturn = function (feature) {\n                    this.removeFeatureInternal(feature);\n                }.bind(this);\n                this.featuresRtree_.forEach(removeAndIgnoreReturn);\n                for (var id in this.nullGeometryFeatures_) {\n                    this.removeFeatureInternal(this.nullGeometryFeatures_[id]);\n                }\n            }\n        }\n        if (this.featuresCollection_) {\n            this.featuresCollection_.clear();\n        }\n        if (this.featuresRtree_) {\n            this.featuresRtree_.clear();\n        }\n        this.nullGeometryFeatures_ = {};\n        var clearEvent = new VectorSourceEvent(VectorEventType.CLEAR);\n        this.dispatchEvent(clearEvent);\n        this.changed();\n    };\n    /**\n     * Iterate through all features on the source, calling the provided callback\n     * with each one.  If the callback returns any \"truthy\" value, iteration will\n     * stop and the function will return the same value.\n     * Note: this function only iterate through the feature that have a defined geometry.\n     *\n     * @param {function(import(\"../Feature.js\").default<Geometry>): T} callback Called with each feature\n     *     on the source.  Return a truthy value to stop iteration.\n     * @return {T|undefined} The return value from the last call to the callback.\n     * @template T\n     * @api\n     */\n    VectorSource.prototype.forEachFeature = function (callback) {\n        if (this.featuresRtree_) {\n            return this.featuresRtree_.forEach(callback);\n        }\n        else if (this.featuresCollection_) {\n            this.featuresCollection_.forEach(callback);\n        }\n    };\n    /**\n     * Iterate through all features whose geometries contain the provided\n     * coordinate, calling the callback with each feature.  If the callback returns\n     * a \"truthy\" value, iteration will stop and the function will return the same\n     * value.\n     *\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {function(import(\"../Feature.js\").default<Geometry>): T} callback Called with each feature\n     *     whose goemetry contains the provided coordinate.\n     * @return {T|undefined} The return value from the last call to the callback.\n     * @template T\n     */\n    VectorSource.prototype.forEachFeatureAtCoordinateDirect = function (coordinate, callback) {\n        var extent = [coordinate[0], coordinate[1], coordinate[0], coordinate[1]];\n        return this.forEachFeatureInExtent(extent, function (feature) {\n            var geometry = feature.getGeometry();\n            if (geometry.intersectsCoordinate(coordinate)) {\n                return callback(feature);\n            }\n            else {\n                return undefined;\n            }\n        });\n    };\n    /**\n     * Iterate through all features whose bounding box intersects the provided\n     * extent (note that the feature's geometry may not intersect the extent),\n     * calling the callback with each feature.  If the callback returns a \"truthy\"\n     * value, iteration will stop and the function will return the same value.\n     *\n     * If you are interested in features whose geometry intersects an extent, call\n     * the {@link module:ol/source/Vector~VectorSource#forEachFeatureIntersectingExtent #forEachFeatureIntersectingExtent()} method instead.\n     *\n     * When `useSpatialIndex` is set to false, this method will loop through all\n     * features, equivalent to {@link module:ol/source/Vector~VectorSource#forEachFeature #forEachFeature()}.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {function(import(\"../Feature.js\").default<Geometry>): T} callback Called with each feature\n     *     whose bounding box intersects the provided extent.\n     * @return {T|undefined} The return value from the last call to the callback.\n     * @template T\n     * @api\n     */\n    VectorSource.prototype.forEachFeatureInExtent = function (extent, callback) {\n        if (this.featuresRtree_) {\n            return this.featuresRtree_.forEachInExtent(extent, callback);\n        }\n        else if (this.featuresCollection_) {\n            this.featuresCollection_.forEach(callback);\n        }\n    };\n    /**\n     * Iterate through all features whose geometry intersects the provided extent,\n     * calling the callback with each feature.  If the callback returns a \"truthy\"\n     * value, iteration will stop and the function will return the same value.\n     *\n     * If you only want to test for bounding box intersection, call the\n     * {@link module:ol/source/Vector~VectorSource#forEachFeatureInExtent #forEachFeatureInExtent()} method instead.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {function(import(\"../Feature.js\").default<Geometry>): T} callback Called with each feature\n     *     whose geometry intersects the provided extent.\n     * @return {T|undefined} The return value from the last call to the callback.\n     * @template T\n     * @api\n     */\n    VectorSource.prototype.forEachFeatureIntersectingExtent = function (extent, callback) {\n        return this.forEachFeatureInExtent(extent, \n        /**\n         * @param {import(\"../Feature.js\").default<Geometry>} feature Feature.\n         * @return {T|undefined} The return value from the last call to the callback.\n         */\n        function (feature) {\n            var geometry = feature.getGeometry();\n            if (geometry.intersectsExtent(extent)) {\n                var result = callback(feature);\n                if (result) {\n                    return result;\n                }\n            }\n        });\n    };\n    /**\n     * Get the features collection associated with this source. Will be `null`\n     * unless the source was configured with `useSpatialIndex` set to `false`, or\n     * with an {@link module:ol/Collection} as `features`.\n     * @return {Collection<import(\"../Feature.js\").default<Geometry>>} The collection of features.\n     * @api\n     */\n    VectorSource.prototype.getFeaturesCollection = function () {\n        return this.featuresCollection_;\n    };\n    /**\n     * Get a snapshot of the features currently on the source in random order. The returned array\n     * is a copy, the features are references to the features in the source.\n     * @return {Array<import(\"../Feature.js\").default<Geometry>>} Features.\n     * @api\n     */\n    VectorSource.prototype.getFeatures = function () {\n        var features;\n        if (this.featuresCollection_) {\n            features = this.featuresCollection_.getArray().slice(0);\n        }\n        else if (this.featuresRtree_) {\n            features = this.featuresRtree_.getAll();\n            if (!isEmpty(this.nullGeometryFeatures_)) {\n                extend(features, getValues(this.nullGeometryFeatures_));\n            }\n        }\n        return /** @type {Array<import(\"../Feature.js\").default<Geometry>>} */ (features);\n    };\n    /**\n     * Get all features whose geometry intersects the provided coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @return {Array<import(\"../Feature.js\").default<Geometry>>} Features.\n     * @api\n     */\n    VectorSource.prototype.getFeaturesAtCoordinate = function (coordinate) {\n        var features = [];\n        this.forEachFeatureAtCoordinateDirect(coordinate, function (feature) {\n            features.push(feature);\n        });\n        return features;\n    };\n    /**\n     * Get all features whose bounding box intersects the provided extent.  Note that this returns an array of\n     * all features intersecting the given extent in random order (so it may include\n     * features whose geometries do not intersect the extent).\n     *\n     * When `useSpatialIndex` is set to false, this method will return all\n     * features.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {Array<import(\"../Feature.js\").default<Geometry>>} Features.\n     * @api\n     */\n    VectorSource.prototype.getFeaturesInExtent = function (extent) {\n        if (this.featuresRtree_) {\n            return this.featuresRtree_.getInExtent(extent);\n        }\n        else if (this.featuresCollection_) {\n            return this.featuresCollection_.getArray().slice(0);\n        }\n        else {\n            return [];\n        }\n    };\n    /**\n     * Get the closest feature to the provided coordinate.\n     *\n     * This method is not available when the source is configured with\n     * `useSpatialIndex` set to `false`.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {function(import(\"../Feature.js\").default<Geometry>):boolean} [opt_filter] Feature filter function.\n     *     The filter function will receive one argument, the {@link module:ol/Feature feature}\n     *     and it should return a boolean value. By default, no filtering is made.\n     * @return {import(\"../Feature.js\").default<Geometry>} Closest feature.\n     * @api\n     */\n    VectorSource.prototype.getClosestFeatureToCoordinate = function (coordinate, opt_filter) {\n        // Find the closest feature using branch and bound.  We start searching an\n        // infinite extent, and find the distance from the first feature found.  This\n        // becomes the closest feature.  We then compute a smaller extent which any\n        // closer feature must intersect.  We continue searching with this smaller\n        // extent, trying to find a closer feature.  Every time we find a closer\n        // feature, we update the extent being searched so that any even closer\n        // feature must intersect it.  We continue until we run out of features.\n        var x = coordinate[0];\n        var y = coordinate[1];\n        var closestFeature = null;\n        var closestPoint = [NaN, NaN];\n        var minSquaredDistance = Infinity;\n        var extent = [-Infinity, -Infinity, Infinity, Infinity];\n        var filter = opt_filter ? opt_filter : TRUE;\n        this.featuresRtree_.forEachInExtent(extent, \n        /**\n         * @param {import(\"../Feature.js\").default<Geometry>} feature Feature.\n         */\n        function (feature) {\n            if (filter(feature)) {\n                var geometry = feature.getGeometry();\n                var previousMinSquaredDistance = minSquaredDistance;\n                minSquaredDistance = geometry.closestPointXY(x, y, closestPoint, minSquaredDistance);\n                if (minSquaredDistance < previousMinSquaredDistance) {\n                    closestFeature = feature;\n                    // This is sneaky.  Reduce the extent that it is currently being\n                    // searched while the R-Tree traversal using this same extent object\n                    // is still in progress.  This is safe because the new extent is\n                    // strictly contained by the old extent.\n                    var minDistance = Math.sqrt(minSquaredDistance);\n                    extent[0] = x - minDistance;\n                    extent[1] = y - minDistance;\n                    extent[2] = x + minDistance;\n                    extent[3] = y + minDistance;\n                }\n            }\n        });\n        return closestFeature;\n    };\n    /**\n     * Get the extent of the features currently in the source.\n     *\n     * This method is not available when the source is configured with\n     * `useSpatialIndex` set to `false`.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Destination extent. If provided, no new extent\n     *     will be created. Instead, that extent's coordinates will be overwritten.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    VectorSource.prototype.getExtent = function (opt_extent) {\n        return this.featuresRtree_.getExtent(opt_extent);\n    };\n    /**\n     * Get a feature by its identifier (the value returned by feature.getId()).\n     * Note that the index treats string and numeric identifiers as the same.  So\n     * `source.getFeatureById(2)` will return a feature with id `'2'` or `2`.\n     *\n     * @param {string|number} id Feature identifier.\n     * @return {import(\"../Feature.js\").default<Geometry>} The feature (or `null` if not found).\n     * @api\n     */\n    VectorSource.prototype.getFeatureById = function (id) {\n        var feature = this.idIndex_[id.toString()];\n        return feature !== undefined ? feature : null;\n    };\n    /**\n     * Get a feature by its internal unique identifier (using `getUid`).\n     *\n     * @param {string} uid Feature identifier.\n     * @return {import(\"../Feature.js\").default<Geometry>} The feature (or `null` if not found).\n     */\n    VectorSource.prototype.getFeatureByUid = function (uid) {\n        var feature = this.uidIndex_[uid];\n        return feature !== undefined ? feature : null;\n    };\n    /**\n     * Get the format associated with this source.\n     *\n     * @return {import(\"../format/Feature.js\").default|undefined} The feature format.\n     * @api\n     */\n    VectorSource.prototype.getFormat = function () {\n        return this.format_;\n    };\n    /**\n     * @return {boolean} The source can have overlapping geometries.\n     */\n    VectorSource.prototype.getOverlaps = function () {\n        return this.overlaps_;\n    };\n    /**\n     * Get the url associated with this source.\n     *\n     * @return {string|import(\"../featureloader.js\").FeatureUrlFunction|undefined} The url.\n     * @api\n     */\n    VectorSource.prototype.getUrl = function () {\n        return this.url_;\n    };\n    /**\n     * @param {Event} event Event.\n     * @private\n     */\n    VectorSource.prototype.handleFeatureChange_ = function (event) {\n        var feature = /** @type {import(\"../Feature.js\").default<Geometry>} */ (event.target);\n        var featureKey = getUid(feature);\n        var geometry = feature.getGeometry();\n        if (!geometry) {\n            if (!(featureKey in this.nullGeometryFeatures_)) {\n                if (this.featuresRtree_) {\n                    this.featuresRtree_.remove(feature);\n                }\n                this.nullGeometryFeatures_[featureKey] = feature;\n            }\n        }\n        else {\n            var extent = geometry.getExtent();\n            if (featureKey in this.nullGeometryFeatures_) {\n                delete this.nullGeometryFeatures_[featureKey];\n                if (this.featuresRtree_) {\n                    this.featuresRtree_.insert(extent, feature);\n                }\n            }\n            else {\n                if (this.featuresRtree_) {\n                    this.featuresRtree_.update(extent, feature);\n                }\n            }\n        }\n        var id = feature.getId();\n        if (id !== undefined) {\n            var sid = id.toString();\n            if (this.idIndex_[sid] !== feature) {\n                this.removeFromIdIndex_(feature);\n                this.idIndex_[sid] = feature;\n            }\n        }\n        else {\n            this.removeFromIdIndex_(feature);\n            this.uidIndex_[featureKey] = feature;\n        }\n        this.changed();\n        this.dispatchEvent(new VectorSourceEvent(VectorEventType.CHANGEFEATURE, feature));\n    };\n    /**\n     * Returns true if the feature is contained within the source.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature Feature.\n     * @return {boolean} Has feature.\n     * @api\n     */\n    VectorSource.prototype.hasFeature = function (feature) {\n        var id = feature.getId();\n        if (id !== undefined) {\n            return id in this.idIndex_;\n        }\n        else {\n            return getUid(feature) in this.uidIndex_;\n        }\n    };\n    /**\n     * @return {boolean} Is empty.\n     */\n    VectorSource.prototype.isEmpty = function () {\n        return this.featuresRtree_.isEmpty() && isEmpty(this.nullGeometryFeatures_);\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     */\n    VectorSource.prototype.loadFeatures = function (extent, resolution, projection) {\n        var loadedExtentsRtree = this.loadedExtentsRtree_;\n        var extentsToLoad = this.strategy_(extent, resolution, projection);\n        var _loop_1 = function (i, ii) {\n            var extentToLoad = extentsToLoad[i];\n            var alreadyLoaded = loadedExtentsRtree.forEachInExtent(extentToLoad, \n            /**\n             * @param {{extent: import(\"../extent.js\").Extent}} object Object.\n             * @return {boolean} Contains.\n             */\n            function (object) {\n                return containsExtent(object.extent, extentToLoad);\n            });\n            if (!alreadyLoaded) {\n                ++this_1.loadingExtentsCount_;\n                this_1.dispatchEvent(new VectorSourceEvent(VectorEventType.FEATURESLOADSTART));\n                this_1.loader_.call(this_1, extentToLoad, resolution, projection, function (features) {\n                    --this.loadingExtentsCount_;\n                    this.dispatchEvent(new VectorSourceEvent(VectorEventType.FEATURESLOADEND, undefined, features));\n                }.bind(this_1), function () {\n                    --this.loadingExtentsCount_;\n                    this.dispatchEvent(new VectorSourceEvent(VectorEventType.FEATURESLOADERROR));\n                }.bind(this_1));\n                loadedExtentsRtree.insert(extentToLoad, { extent: extentToLoad.slice() });\n            }\n        };\n        var this_1 = this;\n        for (var i = 0, ii = extentsToLoad.length; i < ii; ++i) {\n            _loop_1(i, ii);\n        }\n        this.loading =\n            this.loader_.length < 4 ? false : this.loadingExtentsCount_ > 0;\n    };\n    VectorSource.prototype.refresh = function () {\n        this.clear(true);\n        this.loadedExtentsRtree_.clear();\n        _super.prototype.refresh.call(this);\n    };\n    /**\n     * Remove an extent from the list of loaded extents.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @api\n     */\n    VectorSource.prototype.removeLoadedExtent = function (extent) {\n        var loadedExtentsRtree = this.loadedExtentsRtree_;\n        var obj;\n        loadedExtentsRtree.forEachInExtent(extent, function (object) {\n            if (equals(object.extent, extent)) {\n                obj = object;\n                return true;\n            }\n        });\n        if (obj) {\n            loadedExtentsRtree.remove(obj);\n        }\n    };\n    /**\n     * Remove a single feature from the source.  If you want to remove all features\n     * at once, use the {@link module:ol/source/Vector~VectorSource#clear #clear()} method\n     * instead.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature Feature to remove.\n     * @api\n     */\n    VectorSource.prototype.removeFeature = function (feature) {\n        if (!feature) {\n            return;\n        }\n        var featureKey = getUid(feature);\n        if (featureKey in this.nullGeometryFeatures_) {\n            delete this.nullGeometryFeatures_[featureKey];\n        }\n        else {\n            if (this.featuresRtree_) {\n                this.featuresRtree_.remove(feature);\n            }\n        }\n        var result = this.removeFeatureInternal(feature);\n        if (result) {\n            this.changed();\n        }\n    };\n    /**\n     * Remove feature without firing a `change` event.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature Feature.\n     * @return {import(\"../Feature.js\").default<Geometry>|undefined} The removed feature\n     *     (or undefined if the feature was not found).\n     * @protected\n     */\n    VectorSource.prototype.removeFeatureInternal = function (feature) {\n        var featureKey = getUid(feature);\n        var featureChangeKeys = this.featureChangeKeys_[featureKey];\n        if (!featureChangeKeys) {\n            return;\n        }\n        featureChangeKeys.forEach(unlistenByKey);\n        delete this.featureChangeKeys_[featureKey];\n        var id = feature.getId();\n        if (id !== undefined) {\n            delete this.idIndex_[id.toString()];\n        }\n        delete this.uidIndex_[featureKey];\n        this.dispatchEvent(new VectorSourceEvent(VectorEventType.REMOVEFEATURE, feature));\n        return feature;\n    };\n    /**\n     * Remove a feature from the id index.  Called internally when the feature id\n     * may have changed.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature The feature.\n     * @return {boolean} Removed the feature from the index.\n     * @private\n     */\n    VectorSource.prototype.removeFromIdIndex_ = function (feature) {\n        var removed = false;\n        for (var id in this.idIndex_) {\n            if (this.idIndex_[id] === feature) {\n                delete this.idIndex_[id];\n                removed = true;\n                break;\n            }\n        }\n        return removed;\n    };\n    /**\n     * Set the new loader of the source. The next render cycle will use the\n     * new loader.\n     * @param {import(\"../featureloader.js\").FeatureLoader} loader The loader to set.\n     * @api\n     */\n    VectorSource.prototype.setLoader = function (loader) {\n        this.loader_ = loader;\n    };\n    /**\n     * Points the source to a new url. The next render cycle will use the new url.\n     * @param {string|import(\"../featureloader.js\").FeatureUrlFunction} url Url.\n     * @api\n     */\n    VectorSource.prototype.setUrl = function (url) {\n        assert(this.format_, 7); // `format` must be set when `url` is set\n        this.url_ = url;\n        this.setLoader(xhr(url, this.format_));\n    };\n    return VectorSource;\n}(Source));\nexport default VectorSource;\n//# sourceMappingURL=Vector.js.map","/**\n * @module ol/TileState\n */\n/**\n * @enum {number}\n */\nexport default {\n    IDLE: 0,\n    LOADING: 1,\n    LOADED: 2,\n    /**\n     * Indicates that tile loading failed\n     * @type {number}\n     */\n    ERROR: 3,\n    EMPTY: 4,\n};\n//# sourceMappingURL=TileState.js.map","/**\n * @module ol/easing\n */\n/**\n * Start slow and speed up.\n * @param {number} t Input between 0 and 1.\n * @return {number} Output between 0 and 1.\n * @api\n */\nexport function easeIn(t) {\n    return Math.pow(t, 3);\n}\n/**\n * Start fast and slow down.\n * @param {number} t Input between 0 and 1.\n * @return {number} Output between 0 and 1.\n * @api\n */\nexport function easeOut(t) {\n    return 1 - easeIn(1 - t);\n}\n/**\n * Start slow, speed up, and then slow down again.\n * @param {number} t Input between 0 and 1.\n * @return {number} Output between 0 and 1.\n * @api\n */\nexport function inAndOut(t) {\n    return 3 * t * t - 2 * t * t * t;\n}\n/**\n * Maintain a constant speed over time.\n * @param {number} t Input between 0 and 1.\n * @return {number} Output between 0 and 1.\n * @api\n */\nexport function linear(t) {\n    return t;\n}\n/**\n * Start slow, speed up, and at the very end slow down again.  This has the\n * same general behavior as {@link module:ol/easing.inAndOut}, but the final\n * slowdown is delayed.\n * @param {number} t Input between 0 and 1.\n * @return {number} Output between 0 and 1.\n * @api\n */\nexport function upAndDown(t) {\n    if (t < 0.5) {\n        return inAndOut(2 * t);\n    }\n    else {\n        return 1 - inAndOut(2 * (t - 0.5));\n    }\n}\n//# sourceMappingURL=easing.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Tile\n */\nimport EventTarget from './events/Target.js';\nimport EventType from './events/EventType.js';\nimport TileState from './TileState.js';\nimport { abstract } from './util.js';\nimport { easeIn } from './easing.js';\n/**\n * A function that takes an {@link module:ol/Tile} for the tile and a\n * `{string}` for the url as arguments. The default is\n * ```js\n * source.setTileLoadFunction(function(tile, src) {\n *   tile.getImage().src = src;\n * });\n * ```\n * For more fine grained control, the load function can use fetch or XMLHttpRequest and involve\n * error handling:\n *\n * ```js\n * import TileState from 'ol/TileState';\n *\n * source.setTileLoadFunction(function(tile, src) {\n *   var xhr = new XMLHttpRequest();\n *   xhr.responseType = 'blob';\n *   xhr.addEventListener('loadend', function (evt) {\n *     var data = this.response;\n *     if (data !== undefined) {\n *       tile.getImage().src = URL.createObjectURL(data);\n *     } else {\n *       tile.setState(TileState.ERROR);\n *     }\n *   });\n *   xhr.addEventListener('error', function () {\n *     tile.setState(TileState.ERROR);\n *   });\n *   xhr.open('GET', src);\n *   xhr.send();\n * });\n * ```\n *\n * @typedef {function(Tile, string): void} LoadFunction\n * @api\n */\n/**\n * {@link module:ol/source/Tile~Tile} sources use a function of this type to get\n * the url that provides a tile for a given tile coordinate.\n *\n * This function takes an {@link module:ol/tilecoord~TileCoord} for the tile\n * coordinate, a `{number}` representing the pixel ratio and a\n * {@link module:ol/proj/Projection} for the projection  as arguments\n * and returns a `{string}` representing the tile URL, or undefined if no tile\n * should be requested for the passed tile coordinate.\n *\n * @typedef {function(import(\"./tilecoord.js\").TileCoord, number,\n *           import(\"./proj/Projection.js\").default): (string|undefined)} UrlFunction\n * @api\n */\n/**\n * @typedef {Object} Options\n * @property {number} [transition=250] A duration for tile opacity\n * transitions in milliseconds. A duration of 0 disables the opacity transition.\n * @property {boolean} [interpolate=false] Use interpolated values when resampling.  By default,\n * the nearest neighbor is used when resampling.\n * @api\n */\n/**\n * @classdesc\n * Base class for tiles.\n *\n * @abstract\n */\nvar Tile = /** @class */ (function (_super) {\n    __extends(Tile, _super);\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"./TileState.js\").default} state State.\n     * @param {Options} [opt_options] Tile options.\n     */\n    function Tile(tileCoord, state, opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @type {import(\"./tilecoord.js\").TileCoord}\n         */\n        _this.tileCoord = tileCoord;\n        /**\n         * @protected\n         * @type {import(\"./TileState.js\").default}\n         */\n        _this.state = state;\n        /**\n         * An \"interim\" tile for this tile. The interim tile may be used while this\n         * one is loading, for \"smooth\" transitions when changing params/dimensions\n         * on the source.\n         * @type {Tile}\n         */\n        _this.interimTile = null;\n        /**\n         * A key assigned to the tile. This is used by the tile source to determine\n         * if this tile can effectively be used, or if a new tile should be created\n         * and this one be used as an interim tile for this new tile.\n         * @type {string}\n         */\n        _this.key = '';\n        /**\n         * The duration for the opacity transition.\n         * @type {number}\n         */\n        _this.transition_ =\n            options.transition === undefined ? 250 : options.transition;\n        /**\n         * Lookup of start times for rendering transitions.  If the start time is\n         * equal to -1, the transition is complete.\n         * @type {Object<string, number>}\n         */\n        _this.transitionStarts_ = {};\n        /**\n         * @type {boolean}\n         */\n        _this.interpolate = !!options.interpolate;\n        return _this;\n    }\n    /**\n     * @protected\n     */\n    Tile.prototype.changed = function () {\n        this.dispatchEvent(EventType.CHANGE);\n    };\n    /**\n     * Called by the tile cache when the tile is removed from the cache due to expiry\n     */\n    Tile.prototype.release = function () { };\n    /**\n     * @return {string} Key.\n     */\n    Tile.prototype.getKey = function () {\n        return this.key + '/' + this.tileCoord;\n    };\n    /**\n     * Get the interim tile most suitable for rendering using the chain of interim\n     * tiles. This corresponds to the  most recent tile that has been loaded, if no\n     * such tile exists, the original tile is returned.\n     * @return {!Tile} Best tile for rendering.\n     */\n    Tile.prototype.getInterimTile = function () {\n        if (!this.interimTile) {\n            //empty chain\n            return this;\n        }\n        var tile = this.interimTile;\n        // find the first loaded tile and return it. Since the chain is sorted in\n        // decreasing order of creation time, there is no need to search the remainder\n        // of the list (all those tiles correspond to older requests and will be\n        // cleaned up by refreshInterimChain)\n        do {\n            if (tile.getState() == TileState.LOADED) {\n                // Show tile immediately instead of fading it in after loading, because\n                // the interim tile is in place already\n                this.transition_ = 0;\n                return tile;\n            }\n            tile = tile.interimTile;\n        } while (tile);\n        // we can not find a better tile\n        return this;\n    };\n    /**\n     * Goes through the chain of interim tiles and discards sections of the chain\n     * that are no longer relevant.\n     */\n    Tile.prototype.refreshInterimChain = function () {\n        if (!this.interimTile) {\n            return;\n        }\n        var tile = this.interimTile;\n        /**\n         * @type {Tile}\n         */\n        var prev = this;\n        do {\n            if (tile.getState() == TileState.LOADED) {\n                //we have a loaded tile, we can discard the rest of the list\n                //we would could abort any LOADING tile request\n                //older than this tile (i.e. any LOADING tile following this entry in the chain)\n                tile.interimTile = null;\n                break;\n            }\n            else if (tile.getState() == TileState.LOADING) {\n                //keep this LOADING tile any loaded tiles later in the chain are\n                //older than this tile, so we're still interested in the request\n                prev = tile;\n            }\n            else if (tile.getState() == TileState.IDLE) {\n                //the head of the list is the most current tile, we don't need\n                //to start any other requests for this chain\n                prev.interimTile = tile.interimTile;\n            }\n            else {\n                prev = tile;\n            }\n            tile = prev.interimTile;\n        } while (tile);\n    };\n    /**\n     * Get the tile coordinate for this tile.\n     * @return {import(\"./tilecoord.js\").TileCoord} The tile coordinate.\n     * @api\n     */\n    Tile.prototype.getTileCoord = function () {\n        return this.tileCoord;\n    };\n    /**\n     * @return {import(\"./TileState.js\").default} State.\n     */\n    Tile.prototype.getState = function () {\n        return this.state;\n    };\n    /**\n     * Sets the state of this tile. If you write your own {@link module:ol/Tile~LoadFunction tileLoadFunction} ,\n     * it is important to set the state correctly to {@link module:ol/TileState~ERROR}\n     * when the tile cannot be loaded. Otherwise the tile cannot be removed from\n     * the tile queue and will block other requests.\n     * @param {import(\"./TileState.js\").default} state State.\n     * @api\n     */\n    Tile.prototype.setState = function (state) {\n        if (this.state !== TileState.ERROR && this.state > state) {\n            throw new Error('Tile load sequence violation');\n        }\n        this.state = state;\n        this.changed();\n    };\n    /**\n     * Load the image or retry if loading previously failed.\n     * Loading is taken care of by the tile queue, and calling this method is\n     * only needed for preloading or for reloading in case of an error.\n     * @abstract\n     * @api\n     */\n    Tile.prototype.load = function () {\n        abstract();\n    };\n    /**\n     * Get the alpha value for rendering.\n     * @param {string} id An id for the renderer.\n     * @param {number} time The render frame time.\n     * @return {number} A number between 0 and 1.\n     */\n    Tile.prototype.getAlpha = function (id, time) {\n        if (!this.transition_) {\n            return 1;\n        }\n        var start = this.transitionStarts_[id];\n        if (!start) {\n            start = time;\n            this.transitionStarts_[id] = start;\n        }\n        else if (start === -1) {\n            return 1;\n        }\n        var delta = time - start + 1000 / 60; // avoid rendering at 0\n        if (delta >= this.transition_) {\n            return 1;\n        }\n        return easeIn(delta / this.transition_);\n    };\n    /**\n     * Determine if a tile is in an alpha transition.  A tile is considered in\n     * transition if tile.getAlpha() has not yet been called or has been called\n     * and returned 1.\n     * @param {string} id An id for the renderer.\n     * @return {boolean} The tile is in transition.\n     */\n    Tile.prototype.inTransition = function (id) {\n        if (!this.transition_) {\n            return false;\n        }\n        return this.transitionStarts_[id] !== -1;\n    };\n    /**\n     * Mark a transition as complete.\n     * @param {string} id An id for the renderer.\n     */\n    Tile.prototype.endTransition = function (id) {\n        if (this.transition_) {\n            this.transitionStarts_[id] = -1;\n        }\n    };\n    return Tile;\n}(EventTarget));\nexport default Tile;\n//# sourceMappingURL=Tile.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/ImageTile\n */\nimport Tile from './Tile.js';\nimport TileState from './TileState.js';\nimport { createCanvasContext2D } from './dom.js';\nimport { listenImage } from './Image.js';\nvar ImageTile = /** @class */ (function (_super) {\n    __extends(ImageTile, _super);\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"./TileState.js\").default} state State.\n     * @param {string} src Image source URI.\n     * @param {?string} crossOrigin Cross origin.\n     * @param {import(\"./Tile.js\").LoadFunction} tileLoadFunction Tile load function.\n     * @param {import(\"./Tile.js\").Options} [opt_options] Tile options.\n     */\n    function ImageTile(tileCoord, state, src, crossOrigin, tileLoadFunction, opt_options) {\n        var _this = _super.call(this, tileCoord, state, opt_options) || this;\n        /**\n         * @private\n         * @type {?string}\n         */\n        _this.crossOrigin_ = crossOrigin;\n        /**\n         * Image URI\n         *\n         * @private\n         * @type {string}\n         */\n        _this.src_ = src;\n        _this.key = src;\n        /**\n         * @private\n         * @type {HTMLImageElement|HTMLCanvasElement}\n         */\n        _this.image_ = new Image();\n        if (crossOrigin !== null) {\n            _this.image_.crossOrigin = crossOrigin;\n        }\n        /**\n         * @private\n         * @type {?function():void}\n         */\n        _this.unlisten_ = null;\n        /**\n         * @private\n         * @type {import(\"./Tile.js\").LoadFunction}\n         */\n        _this.tileLoadFunction_ = tileLoadFunction;\n        return _this;\n    }\n    /**\n     * Get the HTML image element for this tile (may be a Canvas, Image, or Video).\n     * @return {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} Image.\n     * @api\n     */\n    ImageTile.prototype.getImage = function () {\n        return this.image_;\n    };\n    /**\n     * Sets an HTML image element for this tile (may be a Canvas or preloaded Image).\n     * @param {HTMLCanvasElement|HTMLImageElement} element Element.\n     */\n    ImageTile.prototype.setImage = function (element) {\n        this.image_ = element;\n        this.state = TileState.LOADED;\n        this.unlistenImage_();\n        this.changed();\n    };\n    /**\n     * Tracks loading or read errors.\n     *\n     * @private\n     */\n    ImageTile.prototype.handleImageError_ = function () {\n        this.state = TileState.ERROR;\n        this.unlistenImage_();\n        this.image_ = getBlankImage();\n        this.changed();\n    };\n    /**\n     * Tracks successful image load.\n     *\n     * @private\n     */\n    ImageTile.prototype.handleImageLoad_ = function () {\n        var image = /** @type {HTMLImageElement} */ (this.image_);\n        if (image.naturalWidth && image.naturalHeight) {\n            this.state = TileState.LOADED;\n        }\n        else {\n            this.state = TileState.EMPTY;\n        }\n        this.unlistenImage_();\n        this.changed();\n    };\n    /**\n     * Load not yet loaded URI.\n     * @api\n     */\n    ImageTile.prototype.load = function () {\n        if (this.state == TileState.ERROR) {\n            this.state = TileState.IDLE;\n            this.image_ = new Image();\n            if (this.crossOrigin_ !== null) {\n                this.image_.crossOrigin = this.crossOrigin_;\n            }\n        }\n        if (this.state == TileState.IDLE) {\n            this.state = TileState.LOADING;\n            this.changed();\n            this.tileLoadFunction_(this, this.src_);\n            this.unlisten_ = listenImage(this.image_, this.handleImageLoad_.bind(this), this.handleImageError_.bind(this));\n        }\n    };\n    /**\n     * Discards event handlers which listen for load completion or errors.\n     *\n     * @private\n     */\n    ImageTile.prototype.unlistenImage_ = function () {\n        if (this.unlisten_) {\n            this.unlisten_();\n            this.unlisten_ = null;\n        }\n    };\n    return ImageTile;\n}(Tile));\n/**\n * Get a 1-pixel blank image.\n * @return {HTMLCanvasElement} Blank image.\n */\nfunction getBlankImage() {\n    var ctx = createCanvasContext2D(1, 1);\n    ctx.fillStyle = 'rgba(0,0,0,0)';\n    ctx.fillRect(0, 0, 1, 1);\n    return ctx.canvas;\n}\nexport default ImageTile;\n//# sourceMappingURL=ImageTile.js.map","/**\n * @module ol/Kinetic\n */\n/**\n * @classdesc\n * Implementation of inertial deceleration for map movement.\n *\n * @api\n */\nvar Kinetic = /** @class */ (function () {\n    /**\n     * @param {number} decay Rate of decay (must be negative).\n     * @param {number} minVelocity Minimum velocity (pixels/millisecond).\n     * @param {number} delay Delay to consider to calculate the kinetic\n     *     initial values (milliseconds).\n     */\n    function Kinetic(decay, minVelocity, delay) {\n        /**\n         * @private\n         * @type {number}\n         */\n        this.decay_ = decay;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.minVelocity_ = minVelocity;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.delay_ = delay;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.points_ = [];\n        /**\n         * @private\n         * @type {number}\n         */\n        this.angle_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.initialVelocity_ = 0;\n    }\n    /**\n     * FIXME empty description for jsdoc\n     */\n    Kinetic.prototype.begin = function () {\n        this.points_.length = 0;\n        this.angle_ = 0;\n        this.initialVelocity_ = 0;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     */\n    Kinetic.prototype.update = function (x, y) {\n        this.points_.push(x, y, Date.now());\n    };\n    /**\n     * @return {boolean} Whether we should do kinetic animation.\n     */\n    Kinetic.prototype.end = function () {\n        if (this.points_.length < 6) {\n            // at least 2 points are required (i.e. there must be at least 6 elements\n            // in the array)\n            return false;\n        }\n        var delay = Date.now() - this.delay_;\n        var lastIndex = this.points_.length - 3;\n        if (this.points_[lastIndex + 2] < delay) {\n            // the last tracked point is too old, which means that the user stopped\n            // panning before releasing the map\n            return false;\n        }\n        // get the first point which still falls into the delay time\n        var firstIndex = lastIndex - 3;\n        while (firstIndex > 0 && this.points_[firstIndex + 2] > delay) {\n            firstIndex -= 3;\n        }\n        var duration = this.points_[lastIndex + 2] - this.points_[firstIndex + 2];\n        // we don't want a duration of 0 (divide by zero)\n        // we also make sure the user panned for a duration of at least one frame\n        // (1/60s) to compute sane displacement values\n        if (duration < 1000 / 60) {\n            return false;\n        }\n        var dx = this.points_[lastIndex] - this.points_[firstIndex];\n        var dy = this.points_[lastIndex + 1] - this.points_[firstIndex + 1];\n        this.angle_ = Math.atan2(dy, dx);\n        this.initialVelocity_ = Math.sqrt(dx * dx + dy * dy) / duration;\n        return this.initialVelocity_ > this.minVelocity_;\n    };\n    /**\n     * @return {number} Total distance travelled (pixels).\n     */\n    Kinetic.prototype.getDistance = function () {\n        return (this.minVelocity_ - this.initialVelocity_) / this.decay_;\n    };\n    /**\n     * @return {number} Angle of the kinetic panning animation (radians).\n     */\n    Kinetic.prototype.getAngle = function () {\n        return this.angle_;\n    };\n    return Kinetic;\n}());\nexport default Kinetic;\n//# sourceMappingURL=Kinetic.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/Map\n */\nimport Disposable from '../Disposable.js';\nimport { TRUE } from '../functions.js';\nimport { abstract } from '../util.js';\nimport { compose as composeTransform, makeInverse } from '../transform.js';\nimport { getWidth } from '../extent.js';\nimport { shared as iconImageCache } from '../style/IconImageCache.js';\nimport { inView } from '../layer/Layer.js';\nimport { wrapX } from '../coordinate.js';\n/**\n * @typedef HitMatch\n * @property {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @property {import(\"../layer/Layer.js\").default} layer Layer.\n * @property {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n * @property {number} distanceSq Squared distance.\n * @property {import(\"./vector.js\").FeatureCallback<T>} callback Callback.\n * @template T\n */\n/**\n * @abstract\n */\nvar MapRenderer = /** @class */ (function (_super) {\n    __extends(MapRenderer, _super);\n    /**\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    function MapRenderer(map) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {import(\"../PluggableMap.js\").default}\n         */\n        _this.map_ = map;\n        return _this;\n    }\n    /**\n     * @abstract\n     * @param {import(\"../render/EventType.js\").default} type Event type.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    MapRenderer.prototype.dispatchRenderEvent = function (type, frameState) {\n        abstract();\n    };\n    /**\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @protected\n     */\n    MapRenderer.prototype.calculateMatrices2D = function (frameState) {\n        var viewState = frameState.viewState;\n        var coordinateToPixelTransform = frameState.coordinateToPixelTransform;\n        var pixelToCoordinateTransform = frameState.pixelToCoordinateTransform;\n        composeTransform(coordinateToPixelTransform, frameState.size[0] / 2, frameState.size[1] / 2, 1 / viewState.resolution, -1 / viewState.resolution, -viewState.rotation, -viewState.center[0], -viewState.center[1]);\n        makeInverse(pixelToCoordinateTransform, coordinateToPixelTransform);\n    };\n    /**\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {boolean} checkWrapped Check for wrapped geometries.\n     * @param {import(\"./vector.js\").FeatureCallback<T>} callback Feature callback.\n     * @param {S} thisArg Value to use as `this` when executing `callback`.\n     * @param {function(this: U, import(\"../layer/Layer.js\").default): boolean} layerFilter Layer filter\n     *     function, only layers which are visible and for which this function\n     *     returns `true` will be tested for features.  By default, all visible\n     *     layers will be tested.\n     * @param {U} thisArg2 Value to use as `this` when executing `layerFilter`.\n     * @return {T|undefined} Callback result.\n     * @template S,T,U\n     */\n    MapRenderer.prototype.forEachFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, checkWrapped, callback, thisArg, layerFilter, thisArg2) {\n        var result;\n        var viewState = frameState.viewState;\n        /**\n         * @param {boolean} managed Managed layer.\n         * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n         * @param {import(\"../layer/Layer.js\").default} layer Layer.\n         * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n         * @return {T|undefined} Callback result.\n         */\n        function forEachFeatureAtCoordinate(managed, feature, layer, geometry) {\n            return callback.call(thisArg, feature, managed ? layer : null, geometry);\n        }\n        var projection = viewState.projection;\n        var translatedCoordinate = wrapX(coordinate.slice(), projection);\n        var offsets = [[0, 0]];\n        if (projection.canWrapX() && checkWrapped) {\n            var projectionExtent = projection.getExtent();\n            var worldWidth = getWidth(projectionExtent);\n            offsets.push([-worldWidth, 0], [worldWidth, 0]);\n        }\n        var layerStates = frameState.layerStatesArray;\n        var numLayers = layerStates.length;\n        var matches = /** @type {Array<HitMatch<T>>} */ ([]);\n        var tmpCoord = [];\n        for (var i = 0; i < offsets.length; i++) {\n            for (var j = numLayers - 1; j >= 0; --j) {\n                var layerState = layerStates[j];\n                var layer = layerState.layer;\n                if (layer.hasRenderer() &&\n                    inView(layerState, viewState) &&\n                    layerFilter.call(thisArg2, layer)) {\n                    var layerRenderer = layer.getRenderer();\n                    var source = layer.getSource();\n                    if (layerRenderer && source) {\n                        var coordinates = source.getWrapX()\n                            ? translatedCoordinate\n                            : coordinate;\n                        var callback_1 = forEachFeatureAtCoordinate.bind(null, layerState.managed);\n                        tmpCoord[0] = coordinates[0] + offsets[i][0];\n                        tmpCoord[1] = coordinates[1] + offsets[i][1];\n                        result = layerRenderer.forEachFeatureAtCoordinate(tmpCoord, frameState, hitTolerance, callback_1, matches);\n                    }\n                    if (result) {\n                        return result;\n                    }\n                }\n            }\n        }\n        if (matches.length === 0) {\n            return undefined;\n        }\n        var order = 1 / matches.length;\n        matches.forEach(function (m, i) { return (m.distanceSq += i * order); });\n        matches.sort(function (a, b) { return a.distanceSq - b.distanceSq; });\n        matches.some(function (m) {\n            return (result = m.callback(m.feature, m.layer, m.geometry));\n        });\n        return result;\n    };\n    /**\n     * @abstract\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>, (Uint8ClampedArray|Uint8Array)): T} callback Layer\n     *     callback.\n     * @param {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} layerFilter Layer filter\n     *     function, only layers which are visible and for which this function\n     *     returns `true` will be tested for features.  By default, all visible\n     *     layers will be tested.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    MapRenderer.prototype.forEachLayerAtPixel = function (pixel, frameState, hitTolerance, callback, layerFilter) {\n        return abstract();\n    };\n    /**\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {boolean} checkWrapped Check for wrapped geometries.\n     * @param {function(this: U, import(\"../layer/Layer.js\").default): boolean} layerFilter Layer filter\n     *     function, only layers which are visible and for which this function\n     *     returns `true` will be tested for features.  By default, all visible\n     *     layers will be tested.\n     * @param {U} thisArg Value to use as `this` when executing `layerFilter`.\n     * @return {boolean} Is there a feature at the given coordinate?\n     * @template U\n     */\n    MapRenderer.prototype.hasFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, checkWrapped, layerFilter, thisArg) {\n        var hasFeature = this.forEachFeatureAtCoordinate(coordinate, frameState, hitTolerance, checkWrapped, TRUE, this, layerFilter, thisArg);\n        return hasFeature !== undefined;\n    };\n    /**\n     * @return {import(\"../PluggableMap.js\").default} Map.\n     */\n    MapRenderer.prototype.getMap = function () {\n        return this.map_;\n    };\n    /**\n     * Render.\n     * @abstract\n     * @param {?import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    MapRenderer.prototype.renderFrame = function (frameState) {\n        abstract();\n    };\n    /**\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    MapRenderer.prototype.scheduleExpireIconCache = function (frameState) {\n        if (iconImageCache.canExpireCache()) {\n            frameState.postRenderFunctions.push(expireIconCache);\n        }\n    };\n    return MapRenderer;\n}(Disposable));\n/**\n * @param {import(\"../PluggableMap.js\").default} map Map.\n * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n */\nfunction expireIconCache(map, frameState) {\n    iconImageCache.expire();\n}\nexport default MapRenderer;\n//# sourceMappingURL=Map.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/Composite\n */\nimport MapRenderer from './Map.js';\nimport ObjectEventType from '../ObjectEventType.js';\nimport RenderEvent from '../render/Event.js';\nimport RenderEventType from '../render/EventType.js';\nimport SourceState from '../source/State.js';\nimport { CLASS_UNSELECTABLE } from '../css.js';\nimport { checkedFonts } from '../render/canvas.js';\nimport { inView } from '../layer/Layer.js';\nimport { listen, unlistenByKey } from '../events.js';\nimport { replaceChildren } from '../dom.js';\n/**\n * @classdesc\n * Canvas map renderer.\n * @api\n */\nvar CompositeMapRenderer = /** @class */ (function (_super) {\n    __extends(CompositeMapRenderer, _super);\n    /**\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    function CompositeMapRenderer(map) {\n        var _this = _super.call(this, map) || this;\n        /**\n         * @type {import(\"../events.js\").EventsKey}\n         */\n        _this.fontChangeListenerKey_ = listen(checkedFonts, ObjectEventType.PROPERTYCHANGE, map.redrawText.bind(map));\n        /**\n         * @private\n         * @type {HTMLDivElement}\n         */\n        _this.element_ = document.createElement('div');\n        var style = _this.element_.style;\n        style.position = 'absolute';\n        style.width = '100%';\n        style.height = '100%';\n        style.zIndex = '0';\n        _this.element_.className = CLASS_UNSELECTABLE + ' ol-layers';\n        var container = map.getViewport();\n        container.insertBefore(_this.element_, container.firstChild || null);\n        /**\n         * @private\n         * @type {Array<HTMLElement>}\n         */\n        _this.children_ = [];\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderedVisible_ = true;\n        return _this;\n    }\n    /**\n     * @param {import(\"../render/EventType.js\").default} type Event type.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    CompositeMapRenderer.prototype.dispatchRenderEvent = function (type, frameState) {\n        var map = this.getMap();\n        if (map.hasListener(type)) {\n            var event_1 = new RenderEvent(type, undefined, frameState);\n            map.dispatchEvent(event_1);\n        }\n    };\n    CompositeMapRenderer.prototype.disposeInternal = function () {\n        unlistenByKey(this.fontChangeListenerKey_);\n        this.element_.parentNode.removeChild(this.element_);\n        _super.prototype.disposeInternal.call(this);\n    };\n    /**\n     * Render.\n     * @param {?import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    CompositeMapRenderer.prototype.renderFrame = function (frameState) {\n        if (!frameState) {\n            if (this.renderedVisible_) {\n                this.element_.style.display = 'none';\n                this.renderedVisible_ = false;\n            }\n            return;\n        }\n        this.calculateMatrices2D(frameState);\n        this.dispatchRenderEvent(RenderEventType.PRECOMPOSE, frameState);\n        var layerStatesArray = frameState.layerStatesArray.sort(function (a, b) {\n            return a.zIndex - b.zIndex;\n        });\n        var viewState = frameState.viewState;\n        this.children_.length = 0;\n        /**\n         * @type {Array<import(\"../layer/BaseVector.js\").default>}\n         */\n        var declutterLayers = [];\n        var previousElement = null;\n        for (var i = 0, ii = layerStatesArray.length; i < ii; ++i) {\n            var layerState = layerStatesArray[i];\n            frameState.layerIndex = i;\n            if (!inView(layerState, viewState) ||\n                (layerState.sourceState != SourceState.READY &&\n                    layerState.sourceState != SourceState.UNDEFINED)) {\n                continue;\n            }\n            var layer = layerState.layer;\n            var element = layer.render(frameState, previousElement);\n            if (!element) {\n                continue;\n            }\n            if (element !== previousElement) {\n                this.children_.push(element);\n                previousElement = element;\n            }\n            if ('getDeclutter' in layer) {\n                declutterLayers.push(\n                /** @type {import(\"../layer/BaseVector.js\").default} */ (layer));\n            }\n        }\n        for (var i = declutterLayers.length - 1; i >= 0; --i) {\n            declutterLayers[i].renderDeclutter(frameState);\n        }\n        replaceChildren(this.element_, this.children_);\n        this.dispatchRenderEvent(RenderEventType.POSTCOMPOSE, frameState);\n        if (!this.renderedVisible_) {\n            this.element_.style.display = '';\n            this.renderedVisible_ = true;\n        }\n        this.scheduleExpireIconCache(frameState);\n    };\n    /**\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>, (Uint8ClampedArray|Uint8Array)): T} callback Layer\n     *     callback.\n     * @param {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} layerFilter Layer filter\n     *     function, only layers which are visible and for which this function\n     *     returns `true` will be tested for features.  By default, all visible\n     *     layers will be tested.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    CompositeMapRenderer.prototype.forEachLayerAtPixel = function (pixel, frameState, hitTolerance, callback, layerFilter) {\n        var viewState = frameState.viewState;\n        var layerStates = frameState.layerStatesArray;\n        var numLayers = layerStates.length;\n        for (var i = numLayers - 1; i >= 0; --i) {\n            var layerState = layerStates[i];\n            var layer = layerState.layer;\n            if (layer.hasRenderer() &&\n                inView(layerState, viewState) &&\n                layerFilter(layer)) {\n                var layerRenderer = layer.getRenderer();\n                var data = layerRenderer.getDataAtPixel(pixel, frameState, hitTolerance);\n                if (data) {\n                    var result = callback(layer, data);\n                    if (result) {\n                        return result;\n                    }\n                }\n            }\n        }\n        return undefined;\n    };\n    return CompositeMapRenderer;\n}(MapRenderer));\nexport default CompositeMapRenderer;\n//# sourceMappingURL=Composite.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Group\n */\nimport BaseLayer from './Base.js';\nimport Collection from '../Collection.js';\nimport CollectionEventType from '../CollectionEventType.js';\nimport Event from '../events/Event.js';\nimport EventType from '../events/EventType.js';\nimport ObjectEventType from '../ObjectEventType.js';\nimport SourceState from '../source/State.js';\nimport { assert } from '../asserts.js';\nimport { assign, clear } from '../obj.js';\nimport { getIntersection } from '../extent.js';\nimport { getUid } from '../util.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {'addlayer'|'removelayer'} EventType\n */\n/**\n * @classdesc\n * A layer group triggers 'addlayer' and 'removelayer' events when layers are added to or removed from\n * the group or one of its child groups.  When a layer group is added to or removed from another layer group,\n * a single event will be triggered (instead of one per layer in the group added or removed).\n */\nvar GroupEvent = /** @class */ (function (_super) {\n    __extends(GroupEvent, _super);\n    /**\n     * @param {EventType} type The event type.\n     * @param {BaseLayer} layer The layer.\n     */\n    function GroupEvent(type, layer) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The added or removed layer.\n         * @type {BaseLayer}\n         * @api\n         */\n        _this.layer = layer;\n        return _this;\n    }\n    return GroupEvent;\n}(Event));\nexport { GroupEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./Base\").BaseLayerObjectEventTypes|\n *     'change:layers', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"./Base\").BaseLayerObjectEventTypes|'change:layers', Return>} GroupOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {Array<import(\"./Base.js\").default>|import(\"../Collection.js\").default<import(\"./Base.js\").default>} [layers] Child layers.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @enum {string}\n * @private\n */\nvar Property = {\n    LAYERS: 'layers',\n};\n/**\n * @classdesc\n * A {@link module:ol/Collection~Collection} of layers that are handled together.\n *\n * A generic `change` event is triggered when the group/Collection changes.\n *\n * @api\n */\nvar LayerGroup = /** @class */ (function (_super) {\n    __extends(LayerGroup, _super);\n    /**\n     * @param {Options} [opt_options] Layer options.\n     */\n    function LayerGroup(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        var baseOptions = /** @type {Options} */ (assign({}, options));\n        delete baseOptions.layers;\n        var layers = options.layers;\n        _this = _super.call(this, baseOptions) || this;\n        /***\n         * @type {GroupOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {GroupOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {GroupOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {Array<import(\"../events.js\").EventsKey>}\n         */\n        _this.layersListenerKeys_ = [];\n        /**\n         * @private\n         * @type {Object<string, Array<import(\"../events.js\").EventsKey>>}\n         */\n        _this.listenerKeys_ = {};\n        _this.addChangeListener(Property.LAYERS, _this.handleLayersChanged_);\n        if (layers) {\n            if (Array.isArray(layers)) {\n                layers = new Collection(layers.slice(), { unique: true });\n            }\n            else {\n                assert(typeof ( /** @type {?} */(layers).getArray) === 'function', 43); // Expected `layers` to be an array or a `Collection`\n            }\n        }\n        else {\n            layers = new Collection(undefined, { unique: true });\n        }\n        _this.setLayers(layers);\n        return _this;\n    }\n    /**\n     * @private\n     */\n    LayerGroup.prototype.handleLayerChange_ = function () {\n        this.changed();\n    };\n    /**\n     * @private\n     */\n    LayerGroup.prototype.handleLayersChanged_ = function () {\n        this.layersListenerKeys_.forEach(unlistenByKey);\n        this.layersListenerKeys_.length = 0;\n        var layers = this.getLayers();\n        this.layersListenerKeys_.push(listen(layers, CollectionEventType.ADD, this.handleLayersAdd_, this), listen(layers, CollectionEventType.REMOVE, this.handleLayersRemove_, this));\n        for (var id in this.listenerKeys_) {\n            this.listenerKeys_[id].forEach(unlistenByKey);\n        }\n        clear(this.listenerKeys_);\n        var layersArray = layers.getArray();\n        for (var i = 0, ii = layersArray.length; i < ii; i++) {\n            var layer = layersArray[i];\n            this.registerLayerListeners_(layer);\n            this.dispatchEvent(new GroupEvent('addlayer', layer));\n        }\n        this.changed();\n    };\n    /**\n     * @param {BaseLayer} layer The layer.\n     */\n    LayerGroup.prototype.registerLayerListeners_ = function (layer) {\n        var listenerKeys = [\n            listen(layer, ObjectEventType.PROPERTYCHANGE, this.handleLayerChange_, this),\n            listen(layer, EventType.CHANGE, this.handleLayerChange_, this),\n        ];\n        if (layer instanceof LayerGroup) {\n            listenerKeys.push(listen(layer, 'addlayer', this.handleLayerGroupAdd_, this), listen(layer, 'removelayer', this.handleLayerGroupRemove_, this));\n        }\n        this.listenerKeys_[getUid(layer)] = listenerKeys;\n    };\n    /**\n     * @param {GroupEvent} event The layer group event.\n     */\n    LayerGroup.prototype.handleLayerGroupAdd_ = function (event) {\n        this.dispatchEvent(new GroupEvent('addlayer', event.layer));\n    };\n    /**\n     * @param {GroupEvent} event The layer group event.\n     */\n    LayerGroup.prototype.handleLayerGroupRemove_ = function (event) {\n        this.dispatchEvent(new GroupEvent('removelayer', event.layer));\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} collectionEvent CollectionEvent.\n     * @private\n     */\n    LayerGroup.prototype.handleLayersAdd_ = function (collectionEvent) {\n        var layer = /** @type {import(\"./Base.js\").default} */ (collectionEvent.element);\n        this.registerLayerListeners_(layer);\n        this.dispatchEvent(new GroupEvent('addlayer', layer));\n        this.changed();\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} collectionEvent CollectionEvent.\n     * @private\n     */\n    LayerGroup.prototype.handleLayersRemove_ = function (collectionEvent) {\n        var layer = /** @type {import(\"./Base.js\").default} */ (collectionEvent.element);\n        var key = getUid(layer);\n        this.listenerKeys_[key].forEach(unlistenByKey);\n        delete this.listenerKeys_[key];\n        this.dispatchEvent(new GroupEvent('removelayer', layer));\n        this.changed();\n    };\n    /**\n     * Returns the {@link module:ol/Collection collection} of {@link module:ol/layer/Layer~Layer layers}\n     * in this group.\n     * @return {!import(\"../Collection.js\").default<import(\"./Base.js\").default>} Collection of\n     *   {@link module:ol/layer/Base layers} that are part of this group.\n     * @observable\n     * @api\n     */\n    LayerGroup.prototype.getLayers = function () {\n        return /** @type {!import(\"../Collection.js\").default<import(\"./Base.js\").default>} */ (this.get(Property.LAYERS));\n    };\n    /**\n     * Set the {@link module:ol/Collection collection} of {@link module:ol/layer/Layer~Layer layers}\n     * in this group.\n     * @param {!import(\"../Collection.js\").default<import(\"./Base.js\").default>} layers Collection of\n     *   {@link module:ol/layer/Base layers} that are part of this group.\n     * @observable\n     * @api\n     */\n    LayerGroup.prototype.setLayers = function (layers) {\n        var collection = this.getLayers();\n        if (collection) {\n            var currentLayers = collection.getArray();\n            for (var i = 0, ii = currentLayers.length; i < ii; ++i) {\n                this.dispatchEvent(new GroupEvent('removelayer', currentLayers[i]));\n            }\n        }\n        this.set(Property.LAYERS, layers);\n    };\n    /**\n     * @param {Array<import(\"./Layer.js\").default>} [opt_array] Array of layers (to be modified in place).\n     * @return {Array<import(\"./Layer.js\").default>} Array of layers.\n     */\n    LayerGroup.prototype.getLayersArray = function (opt_array) {\n        var array = opt_array !== undefined ? opt_array : [];\n        this.getLayers().forEach(function (layer) {\n            layer.getLayersArray(array);\n        });\n        return array;\n    };\n    /**\n     * Get the layer states list and use this groups z-index as the default\n     * for all layers in this and nested groups, if it is unset at this point.\n     * If opt_states is not provided and this group's z-index is undefined\n     * 0 is used a the default z-index.\n     * @param {Array<import(\"./Layer.js\").State>} [opt_states] Optional list\n     * of layer states (to be modified in place).\n     * @return {Array<import(\"./Layer.js\").State>} List of layer states.\n     */\n    LayerGroup.prototype.getLayerStatesArray = function (opt_states) {\n        var states = opt_states !== undefined ? opt_states : [];\n        var pos = states.length;\n        this.getLayers().forEach(function (layer) {\n            layer.getLayerStatesArray(states);\n        });\n        var ownLayerState = this.getLayerState();\n        var defaultZIndex = ownLayerState.zIndex;\n        if (!opt_states && ownLayerState.zIndex === undefined) {\n            defaultZIndex = 0;\n        }\n        for (var i = pos, ii = states.length; i < ii; i++) {\n            var layerState = states[i];\n            layerState.opacity *= ownLayerState.opacity;\n            layerState.visible = layerState.visible && ownLayerState.visible;\n            layerState.maxResolution = Math.min(layerState.maxResolution, ownLayerState.maxResolution);\n            layerState.minResolution = Math.max(layerState.minResolution, ownLayerState.minResolution);\n            layerState.minZoom = Math.max(layerState.minZoom, ownLayerState.minZoom);\n            layerState.maxZoom = Math.min(layerState.maxZoom, ownLayerState.maxZoom);\n            if (ownLayerState.extent !== undefined) {\n                if (layerState.extent !== undefined) {\n                    layerState.extent = getIntersection(layerState.extent, ownLayerState.extent);\n                }\n                else {\n                    layerState.extent = ownLayerState.extent;\n                }\n            }\n            if (layerState.zIndex === undefined) {\n                layerState.zIndex = defaultZIndex;\n            }\n        }\n        return states;\n    };\n    /**\n     * @return {import(\"../source/State.js\").default} Source state.\n     */\n    LayerGroup.prototype.getSourceState = function () {\n        return SourceState.READY;\n    };\n    return LayerGroup;\n}(BaseLayer));\nexport default LayerGroup;\n//# sourceMappingURL=Group.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/MapEvent\n */\nimport Event from './events/Event.js';\n/**\n * @classdesc\n * Events emitted as map events are instances of this type.\n * See {@link module:ol/PluggableMap~PluggableMap} for which events trigger a map event.\n */\nvar MapEvent = /** @class */ (function (_super) {\n    __extends(MapEvent, _super);\n    /**\n     * @param {string} type Event type.\n     * @param {import(\"./PluggableMap.js\").default} map Map.\n     * @param {?import(\"./PluggableMap.js\").FrameState} [opt_frameState] Frame state.\n     */\n    function MapEvent(type, map, opt_frameState) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The map where the event occurred.\n         * @type {import(\"./PluggableMap.js\").default}\n         * @api\n         */\n        _this.map = map;\n        /**\n         * The frame state at the time of the event.\n         * @type {?import(\"./PluggableMap.js\").FrameState}\n         * @api\n         */\n        _this.frameState = opt_frameState !== undefined ? opt_frameState : null;\n        return _this;\n    }\n    return MapEvent;\n}(Event));\nexport default MapEvent;\n//# sourceMappingURL=MapEvent.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/MapBrowserEvent\n */\nimport MapEvent from './MapEvent.js';\n/**\n * @classdesc\n * Events emitted as map browser events are instances of this type.\n * See {@link module:ol/PluggableMap~PluggableMap} for which events trigger a map browser event.\n * @template {UIEvent} EVENT\n */\nvar MapBrowserEvent = /** @class */ (function (_super) {\n    __extends(MapBrowserEvent, _super);\n    /**\n     * @param {string} type Event type.\n     * @param {import(\"./PluggableMap.js\").default} map Map.\n     * @param {EVENT} originalEvent Original event.\n     * @param {boolean} [opt_dragging] Is the map currently being dragged?\n     * @param {?import(\"./PluggableMap.js\").FrameState} [opt_frameState] Frame state.\n     */\n    function MapBrowserEvent(type, map, originalEvent, opt_dragging, opt_frameState) {\n        var _this = _super.call(this, type, map, opt_frameState) || this;\n        /**\n         * The original browser event.\n         * @const\n         * @type {EVENT}\n         * @api\n         */\n        _this.originalEvent = originalEvent;\n        /**\n         * The map pixel relative to the viewport corresponding to the original browser event.\n         * @type {?import(\"./pixel.js\").Pixel}\n         */\n        _this.pixel_ = null;\n        /**\n         * The coordinate in the user projection corresponding to the original browser event.\n         * @type {?import(\"./coordinate.js\").Coordinate}\n         */\n        _this.coordinate_ = null;\n        /**\n         * Indicates if the map is currently being dragged. Only set for\n         * `POINTERDRAG` and `POINTERMOVE` events. Default is `false`.\n         *\n         * @type {boolean}\n         * @api\n         */\n        _this.dragging = opt_dragging !== undefined ? opt_dragging : false;\n        return _this;\n    }\n    Object.defineProperty(MapBrowserEvent.prototype, \"pixel\", {\n        /**\n         * The map pixel relative to the viewport corresponding to the original event.\n         * @type {import(\"./pixel.js\").Pixel}\n         * @api\n         */\n        get: function () {\n            if (!this.pixel_) {\n                this.pixel_ = this.map.getEventPixel(this.originalEvent);\n            }\n            return this.pixel_;\n        },\n        set: function (pixel) {\n            this.pixel_ = pixel;\n        },\n        enumerable: false,\n        configurable: true\n    });\n    Object.defineProperty(MapBrowserEvent.prototype, \"coordinate\", {\n        /**\n         * The coordinate corresponding to the original browser event.  This will be in the user\n         * projection if one is set.  Otherwise it will be in the view projection.\n         * @type {import(\"./coordinate.js\").Coordinate}\n         * @api\n         */\n        get: function () {\n            if (!this.coordinate_) {\n                this.coordinate_ = this.map.getCoordinateFromPixel(this.pixel);\n            }\n            return this.coordinate_;\n        },\n        set: function (coordinate) {\n            this.coordinate_ = coordinate;\n        },\n        enumerable: false,\n        configurable: true\n    });\n    /**\n     * Prevents the default browser action.\n     * See https://developer.mozilla.org/en-US/docs/Web/API/event.preventDefault.\n     * @api\n     */\n    MapBrowserEvent.prototype.preventDefault = function () {\n        _super.prototype.preventDefault.call(this);\n        if ('preventDefault' in this.originalEvent) {\n            /** @type {UIEvent} */ (this.originalEvent).preventDefault();\n        }\n    };\n    /**\n     * Prevents further propagation of the current event.\n     * See https://developer.mozilla.org/en-US/docs/Web/API/event.stopPropagation.\n     * @api\n     */\n    MapBrowserEvent.prototype.stopPropagation = function () {\n        _super.prototype.stopPropagation.call(this);\n        if ('stopPropagation' in this.originalEvent) {\n            /** @type {UIEvent} */ (this.originalEvent).stopPropagation();\n        }\n    };\n    return MapBrowserEvent;\n}(MapEvent));\nexport default MapBrowserEvent;\n//# sourceMappingURL=MapBrowserEvent.js.map","/**\n * @module ol/MapBrowserEventType\n */\nimport EventType from './events/EventType.js';\n/**\n * Constants for event names.\n * @enum {string}\n */\nexport default {\n    /**\n     * A true single click with no dragging and no double click. Note that this\n     * event is delayed by 250 ms to ensure that it is not a double click.\n     * @event module:ol/MapBrowserEvent~MapBrowserEvent#singleclick\n     * @api\n     */\n    SINGLECLICK: 'singleclick',\n    /**\n     * A click with no dragging. A double click will fire two of this.\n     * @event module:ol/MapBrowserEvent~MapBrowserEvent#click\n     * @api\n     */\n    CLICK: EventType.CLICK,\n    /**\n     * A true double click, with no dragging.\n     * @event module:ol/MapBrowserEvent~MapBrowserEvent#dblclick\n     * @api\n     */\n    DBLCLICK: EventType.DBLCLICK,\n    /**\n     * Triggered when a pointer is dragged.\n     * @event module:ol/MapBrowserEvent~MapBrowserEvent#pointerdrag\n     * @api\n     */\n    POINTERDRAG: 'pointerdrag',\n    /**\n     * Triggered when a pointer is moved. Note that on touch devices this is\n     * triggered when the map is panned, so is not the same as mousemove.\n     * @event module:ol/MapBrowserEvent~MapBrowserEvent#pointermove\n     * @api\n     */\n    POINTERMOVE: 'pointermove',\n    POINTERDOWN: 'pointerdown',\n    POINTERUP: 'pointerup',\n    POINTEROVER: 'pointerover',\n    POINTEROUT: 'pointerout',\n    POINTERENTER: 'pointerenter',\n    POINTERLEAVE: 'pointerleave',\n    POINTERCANCEL: 'pointercancel',\n};\n/***\n * @typedef {'singleclick'|'click'|'dblclick'|'pointerdrag'|'pointermove'} Types\n */\n//# sourceMappingURL=MapBrowserEventType.js.map","/**\n * @module ol/pointer/EventType\n */\n/**\n * Constants for event names.\n * @enum {string}\n */\nexport default {\n    POINTERMOVE: 'pointermove',\n    POINTERDOWN: 'pointerdown',\n    POINTERUP: 'pointerup',\n    POINTEROVER: 'pointerover',\n    POINTEROUT: 'pointerout',\n    POINTERENTER: 'pointerenter',\n    POINTERLEAVE: 'pointerleave',\n    POINTERCANCEL: 'pointercancel',\n};\n//# sourceMappingURL=EventType.js.map","/**\n * @module ol/MapBrowserEventHandler\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport EventType from './events/EventType.js';\nimport MapBrowserEvent from './MapBrowserEvent.js';\nimport MapBrowserEventType from './MapBrowserEventType.js';\nimport PointerEventType from './pointer/EventType.js';\nimport Target from './events/Target.js';\nimport { PASSIVE_EVENT_LISTENERS } from './has.js';\nimport { VOID } from './functions.js';\nimport { listen, unlistenByKey } from './events.js';\nvar MapBrowserEventHandler = /** @class */ (function (_super) {\n    __extends(MapBrowserEventHandler, _super);\n    /**\n     * @param {import(\"./PluggableMap.js\").default} map The map with the viewport to listen to events on.\n     * @param {number} [moveTolerance] The minimal distance the pointer must travel to trigger a move.\n     */\n    function MapBrowserEventHandler(map, moveTolerance) {\n        var _this = _super.call(this, map) || this;\n        /**\n         * This is the element that we will listen to the real events on.\n         * @type {import(\"./PluggableMap.js\").default}\n         * @private\n         */\n        _this.map_ = map;\n        /**\n         * @type {any}\n         * @private\n         */\n        _this.clickTimeoutId_;\n        /**\n         * Emulate dblclick and singleclick. Will be true when only one pointer is active.\n         * @type {boolean}\n         */\n        _this.emulateClicks_ = false;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.dragging_ = false;\n        /**\n         * @type {!Array<import(\"./events.js\").EventsKey>}\n         * @private\n         */\n        _this.dragListenerKeys_ = [];\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.moveTolerance_ = moveTolerance === undefined ? 1 : moveTolerance;\n        /**\n         * The most recent \"down\" type event (or null if none have occurred).\n         * Set on pointerdown.\n         * @type {PointerEvent}\n         * @private\n         */\n        _this.down_ = null;\n        var element = _this.map_.getViewport();\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.activePointers_ = 0;\n        /**\n         * @type {!Object<number, boolean>}\n         * @private\n         */\n        _this.trackedTouches_ = {};\n        _this.element_ = element;\n        /**\n         * @type {?import(\"./events.js\").EventsKey}\n         * @private\n         */\n        _this.pointerdownListenerKey_ = listen(element, PointerEventType.POINTERDOWN, _this.handlePointerDown_, _this);\n        /**\n         * @type {PointerEvent}\n         * @private\n         */\n        _this.originalPointerMoveEvent_;\n        /**\n         * @type {?import(\"./events.js\").EventsKey}\n         * @private\n         */\n        _this.relayedListenerKey_ = listen(element, PointerEventType.POINTERMOVE, _this.relayEvent_, _this);\n        /**\n         * @private\n         */\n        _this.boundHandleTouchMove_ = _this.handleTouchMove_.bind(_this);\n        _this.element_.addEventListener(EventType.TOUCHMOVE, _this.boundHandleTouchMove_, PASSIVE_EVENT_LISTENERS ? { passive: false } : false);\n        return _this;\n    }\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.emulateClick_ = function (pointerEvent) {\n        var newEvent = new MapBrowserEvent(MapBrowserEventType.CLICK, this.map_, pointerEvent);\n        this.dispatchEvent(newEvent);\n        if (this.clickTimeoutId_ !== undefined) {\n            // double-click\n            clearTimeout(this.clickTimeoutId_);\n            this.clickTimeoutId_ = undefined;\n            newEvent = new MapBrowserEvent(MapBrowserEventType.DBLCLICK, this.map_, pointerEvent);\n            this.dispatchEvent(newEvent);\n        }\n        else {\n            // click\n            this.clickTimeoutId_ = setTimeout(\n            /** @this {MapBrowserEventHandler} */\n            function () {\n                this.clickTimeoutId_ = undefined;\n                var newEvent = new MapBrowserEvent(MapBrowserEventType.SINGLECLICK, this.map_, pointerEvent);\n                this.dispatchEvent(newEvent);\n            }.bind(this), 250);\n        }\n    };\n    /**\n     * Keeps track on how many pointers are currently active.\n     *\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.updateActivePointers_ = function (pointerEvent) {\n        var event = pointerEvent;\n        if (event.type == MapBrowserEventType.POINTERUP ||\n            event.type == MapBrowserEventType.POINTERCANCEL) {\n            delete this.trackedTouches_[event.pointerId];\n        }\n        else if (event.type == MapBrowserEventType.POINTERDOWN) {\n            this.trackedTouches_[event.pointerId] = true;\n        }\n        this.activePointers_ = Object.keys(this.trackedTouches_).length;\n    };\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.handlePointerUp_ = function (pointerEvent) {\n        this.updateActivePointers_(pointerEvent);\n        var newEvent = new MapBrowserEvent(MapBrowserEventType.POINTERUP, this.map_, pointerEvent);\n        this.dispatchEvent(newEvent);\n        // We emulate click events on left mouse button click, touch contact, and pen\n        // contact. isMouseActionButton returns true in these cases (evt.button is set\n        // to 0).\n        // See http://www.w3.org/TR/pointerevents/#button-states\n        // We only fire click, singleclick, and doubleclick if nobody has called\n        // event.preventDefault().\n        if (this.emulateClicks_ &&\n            !newEvent.defaultPrevented &&\n            !this.dragging_ &&\n            this.isMouseActionButton_(pointerEvent)) {\n            this.emulateClick_(this.down_);\n        }\n        if (this.activePointers_ === 0) {\n            this.dragListenerKeys_.forEach(unlistenByKey);\n            this.dragListenerKeys_.length = 0;\n            this.dragging_ = false;\n            this.down_ = null;\n        }\n    };\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @return {boolean} If the left mouse button was pressed.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.isMouseActionButton_ = function (pointerEvent) {\n        return pointerEvent.button === 0;\n    };\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.handlePointerDown_ = function (pointerEvent) {\n        this.emulateClicks_ = this.activePointers_ === 0;\n        this.updateActivePointers_(pointerEvent);\n        var newEvent = new MapBrowserEvent(MapBrowserEventType.POINTERDOWN, this.map_, pointerEvent);\n        this.dispatchEvent(newEvent);\n        // Store a copy of the down event\n        this.down_ = /** @type {PointerEvent} */ ({});\n        for (var property in pointerEvent) {\n            var value = pointerEvent[property];\n            this.down_[property] = typeof value === 'function' ? VOID : value;\n        }\n        if (this.dragListenerKeys_.length === 0) {\n            var doc = this.map_.getOwnerDocument();\n            this.dragListenerKeys_.push(listen(doc, MapBrowserEventType.POINTERMOVE, this.handlePointerMove_, this), listen(doc, MapBrowserEventType.POINTERUP, this.handlePointerUp_, this), \n            /* Note that the listener for `pointercancel is set up on\n             * `pointerEventHandler_` and not `documentPointerEventHandler_` like\n             * the `pointerup` and `pointermove` listeners.\n             *\n             * The reason for this is the following: `TouchSource.vacuumTouches_()`\n             * issues `pointercancel` events, when there was no `touchend` for a\n             * `touchstart`. Now, let's say a first `touchstart` is registered on\n             * `pointerEventHandler_`. The `documentPointerEventHandler_` is set up.\n             * But `documentPointerEventHandler_` doesn't know about the first\n             * `touchstart`. If there is no `touchend` for the `touchstart`, we can\n             * only receive a `touchcancel` from `pointerEventHandler_`, because it is\n             * only registered there.\n             */\n            listen(this.element_, MapBrowserEventType.POINTERCANCEL, this.handlePointerUp_, this));\n            if (this.element_.getRootNode && this.element_.getRootNode() !== doc) {\n                this.dragListenerKeys_.push(listen(this.element_.getRootNode(), MapBrowserEventType.POINTERUP, this.handlePointerUp_, this));\n            }\n        }\n    };\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.handlePointerMove_ = function (pointerEvent) {\n        // Between pointerdown and pointerup, pointermove events are triggered.\n        // To avoid a 'false' touchmove event to be dispatched, we test if the pointer\n        // moved a significant distance.\n        if (this.isMoving_(pointerEvent)) {\n            this.dragging_ = true;\n            var newEvent = new MapBrowserEvent(MapBrowserEventType.POINTERDRAG, this.map_, pointerEvent, this.dragging_);\n            this.dispatchEvent(newEvent);\n        }\n    };\n    /**\n     * Wrap and relay a pointer event.  Note that this requires that the type\n     * string for the MapBrowserEvent matches the PointerEvent type.\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.relayEvent_ = function (pointerEvent) {\n        this.originalPointerMoveEvent_ = pointerEvent;\n        var dragging = !!(this.down_ && this.isMoving_(pointerEvent));\n        this.dispatchEvent(new MapBrowserEvent(pointerEvent.type, this.map_, pointerEvent, dragging));\n    };\n    /**\n     * Flexible handling of a `touch-action: none` css equivalent: because calling\n     * `preventDefault()` on a `pointermove` event does not stop native page scrolling\n     * and zooming, we also listen for `touchmove` and call `preventDefault()` on it\n     * when an interaction (currently `DragPan` handles the event.\n     * @param {TouchEvent} event Event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.handleTouchMove_ = function (event) {\n        // Due to https://github.com/mpizenberg/elm-pep/issues/2, `this.originalPointerMoveEvent_`\n        // may not be initialized yet when we get here on a platform without native pointer events.\n        var originalEvent = this.originalPointerMoveEvent_;\n        if ((!originalEvent || originalEvent.defaultPrevented) &&\n            (typeof event.cancelable !== 'boolean' || event.cancelable === true)) {\n            event.preventDefault();\n        }\n    };\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @return {boolean} Is moving.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.isMoving_ = function (pointerEvent) {\n        return (this.dragging_ ||\n            Math.abs(pointerEvent.clientX - this.down_.clientX) >\n                this.moveTolerance_ ||\n            Math.abs(pointerEvent.clientY - this.down_.clientY) > this.moveTolerance_);\n    };\n    /**\n     * Clean up.\n     */\n    MapBrowserEventHandler.prototype.disposeInternal = function () {\n        if (this.relayedListenerKey_) {\n            unlistenByKey(this.relayedListenerKey_);\n            this.relayedListenerKey_ = null;\n        }\n        this.element_.removeEventListener(EventType.TOUCHMOVE, this.boundHandleTouchMove_);\n        if (this.pointerdownListenerKey_) {\n            unlistenByKey(this.pointerdownListenerKey_);\n            this.pointerdownListenerKey_ = null;\n        }\n        this.dragListenerKeys_.forEach(unlistenByKey);\n        this.dragListenerKeys_.length = 0;\n        this.element_ = null;\n        _super.prototype.disposeInternal.call(this);\n    };\n    return MapBrowserEventHandler;\n}(Target));\nexport default MapBrowserEventHandler;\n//# sourceMappingURL=MapBrowserEventHandler.js.map","/**\n * @module ol/MapEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered after a map frame is rendered.\n     * @event module:ol/MapEvent~MapEvent#postrender\n     * @api\n     */\n    POSTRENDER: 'postrender',\n    /**\n     * Triggered when the map starts moving.\n     * @event module:ol/MapEvent~MapEvent#movestart\n     * @api\n     */\n    MOVESTART: 'movestart',\n    /**\n     * Triggered after the map is moved.\n     * @event module:ol/MapEvent~MapEvent#moveend\n     * @api\n     */\n    MOVEEND: 'moveend',\n};\n/***\n * @typedef {'postrender'|'movestart'|'moveend'} Types\n */\n//# sourceMappingURL=MapEventType.js.map","/**\n * @module ol/MapProperty\n */\n/**\n * @enum {string}\n */\nexport default {\n    LAYERGROUP: 'layergroup',\n    SIZE: 'size',\n    TARGET: 'target',\n    VIEW: 'view',\n};\n//# sourceMappingURL=MapProperty.js.map","/**\n * @module ol/structs/PriorityQueue\n */\nimport { assert } from '../asserts.js';\nimport { clear } from '../obj.js';\n/**\n * @type {number}\n */\nexport var DROP = Infinity;\n/**\n * @classdesc\n * Priority queue.\n *\n * The implementation is inspired from the Closure Library's Heap class and\n * Python's heapq module.\n *\n * See https://github.com/google/closure-library/blob/master/closure/goog/structs/heap.js\n * and https://hg.python.org/cpython/file/2.7/Lib/heapq.py.\n *\n * @template T\n */\nvar PriorityQueue = /** @class */ (function () {\n    /**\n     * @param {function(T): number} priorityFunction Priority function.\n     * @param {function(T): string} keyFunction Key function.\n     */\n    function PriorityQueue(priorityFunction, keyFunction) {\n        /**\n         * @type {function(T): number}\n         * @private\n         */\n        this.priorityFunction_ = priorityFunction;\n        /**\n         * @type {function(T): string}\n         * @private\n         */\n        this.keyFunction_ = keyFunction;\n        /**\n         * @type {Array<T>}\n         * @private\n         */\n        this.elements_ = [];\n        /**\n         * @type {Array<number>}\n         * @private\n         */\n        this.priorities_ = [];\n        /**\n         * @type {!Object<string, boolean>}\n         * @private\n         */\n        this.queuedElements_ = {};\n    }\n    /**\n     * FIXME empty description for jsdoc\n     */\n    PriorityQueue.prototype.clear = function () {\n        this.elements_.length = 0;\n        this.priorities_.length = 0;\n        clear(this.queuedElements_);\n    };\n    /**\n     * Remove and return the highest-priority element. O(log N).\n     * @return {T} Element.\n     */\n    PriorityQueue.prototype.dequeue = function () {\n        var elements = this.elements_;\n        var priorities = this.priorities_;\n        var element = elements[0];\n        if (elements.length == 1) {\n            elements.length = 0;\n            priorities.length = 0;\n        }\n        else {\n            elements[0] = elements.pop();\n            priorities[0] = priorities.pop();\n            this.siftUp_(0);\n        }\n        var elementKey = this.keyFunction_(element);\n        delete this.queuedElements_[elementKey];\n        return element;\n    };\n    /**\n     * Enqueue an element. O(log N).\n     * @param {T} element Element.\n     * @return {boolean} The element was added to the queue.\n     */\n    PriorityQueue.prototype.enqueue = function (element) {\n        assert(!(this.keyFunction_(element) in this.queuedElements_), 31); // Tried to enqueue an `element` that was already added to the queue\n        var priority = this.priorityFunction_(element);\n        if (priority != DROP) {\n            this.elements_.push(element);\n            this.priorities_.push(priority);\n            this.queuedElements_[this.keyFunction_(element)] = true;\n            this.siftDown_(0, this.elements_.length - 1);\n            return true;\n        }\n        return false;\n    };\n    /**\n     * @return {number} Count.\n     */\n    PriorityQueue.prototype.getCount = function () {\n        return this.elements_.length;\n    };\n    /**\n     * Gets the index of the left child of the node at the given index.\n     * @param {number} index The index of the node to get the left child for.\n     * @return {number} The index of the left child.\n     * @private\n     */\n    PriorityQueue.prototype.getLeftChildIndex_ = function (index) {\n        return index * 2 + 1;\n    };\n    /**\n     * Gets the index of the right child of the node at the given index.\n     * @param {number} index The index of the node to get the right child for.\n     * @return {number} The index of the right child.\n     * @private\n     */\n    PriorityQueue.prototype.getRightChildIndex_ = function (index) {\n        return index * 2 + 2;\n    };\n    /**\n     * Gets the index of the parent of the node at the given index.\n     * @param {number} index The index of the node to get the parent for.\n     * @return {number} The index of the parent.\n     * @private\n     */\n    PriorityQueue.prototype.getParentIndex_ = function (index) {\n        return (index - 1) >> 1;\n    };\n    /**\n     * Make this a heap. O(N).\n     * @private\n     */\n    PriorityQueue.prototype.heapify_ = function () {\n        var i;\n        for (i = (this.elements_.length >> 1) - 1; i >= 0; i--) {\n            this.siftUp_(i);\n        }\n    };\n    /**\n     * @return {boolean} Is empty.\n     */\n    PriorityQueue.prototype.isEmpty = function () {\n        return this.elements_.length === 0;\n    };\n    /**\n     * @param {string} key Key.\n     * @return {boolean} Is key queued.\n     */\n    PriorityQueue.prototype.isKeyQueued = function (key) {\n        return key in this.queuedElements_;\n    };\n    /**\n     * @param {T} element Element.\n     * @return {boolean} Is queued.\n     */\n    PriorityQueue.prototype.isQueued = function (element) {\n        return this.isKeyQueued(this.keyFunction_(element));\n    };\n    /**\n     * @param {number} index The index of the node to move down.\n     * @private\n     */\n    PriorityQueue.prototype.siftUp_ = function (index) {\n        var elements = this.elements_;\n        var priorities = this.priorities_;\n        var count = elements.length;\n        var element = elements[index];\n        var priority = priorities[index];\n        var startIndex = index;\n        while (index < count >> 1) {\n            var lIndex = this.getLeftChildIndex_(index);\n            var rIndex = this.getRightChildIndex_(index);\n            var smallerChildIndex = rIndex < count && priorities[rIndex] < priorities[lIndex]\n                ? rIndex\n                : lIndex;\n            elements[index] = elements[smallerChildIndex];\n            priorities[index] = priorities[smallerChildIndex];\n            index = smallerChildIndex;\n        }\n        elements[index] = element;\n        priorities[index] = priority;\n        this.siftDown_(startIndex, index);\n    };\n    /**\n     * @param {number} startIndex The index of the root.\n     * @param {number} index The index of the node to move up.\n     * @private\n     */\n    PriorityQueue.prototype.siftDown_ = function (startIndex, index) {\n        var elements = this.elements_;\n        var priorities = this.priorities_;\n        var element = elements[index];\n        var priority = priorities[index];\n        while (index > startIndex) {\n            var parentIndex = this.getParentIndex_(index);\n            if (priorities[parentIndex] > priority) {\n                elements[index] = elements[parentIndex];\n                priorities[index] = priorities[parentIndex];\n                index = parentIndex;\n            }\n            else {\n                break;\n            }\n        }\n        elements[index] = element;\n        priorities[index] = priority;\n    };\n    /**\n     * FIXME empty description for jsdoc\n     */\n    PriorityQueue.prototype.reprioritize = function () {\n        var priorityFunction = this.priorityFunction_;\n        var elements = this.elements_;\n        var priorities = this.priorities_;\n        var index = 0;\n        var n = elements.length;\n        var element, i, priority;\n        for (i = 0; i < n; ++i) {\n            element = elements[i];\n            priority = priorityFunction(element);\n            if (priority == DROP) {\n                delete this.queuedElements_[this.keyFunction_(element)];\n            }\n            else {\n                priorities[index] = priority;\n                elements[index++] = element;\n            }\n        }\n        elements.length = index;\n        priorities.length = index;\n        this.heapify_();\n    };\n    return PriorityQueue;\n}());\nexport default PriorityQueue;\n//# sourceMappingURL=PriorityQueue.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/TileQueue\n */\nimport EventType from './events/EventType.js';\nimport PriorityQueue, { DROP } from './structs/PriorityQueue.js';\nimport TileState from './TileState.js';\n/**\n * @typedef {function(import(\"./Tile.js\").default, string, import(\"./coordinate.js\").Coordinate, number): number} PriorityFunction\n */\nvar TileQueue = /** @class */ (function (_super) {\n    __extends(TileQueue, _super);\n    /**\n     * @param {PriorityFunction} tilePriorityFunction Tile priority function.\n     * @param {function(): ?} tileChangeCallback Function called on each tile change event.\n     */\n    function TileQueue(tilePriorityFunction, tileChangeCallback) {\n        var _this = _super.call(this, \n        /**\n         * @param {Array} element Element.\n         * @return {number} Priority.\n         */\n        function (element) {\n            return tilePriorityFunction.apply(null, element);\n        }, \n        /**\n         * @param {Array} element Element.\n         * @return {string} Key.\n         */\n        function (element) {\n            return /** @type {import(\"./Tile.js\").default} */ (element[0]).getKey();\n        }) || this;\n        /** @private */\n        _this.boundHandleTileChange_ = _this.handleTileChange.bind(_this);\n        /**\n         * @private\n         * @type {function(): ?}\n         */\n        _this.tileChangeCallback_ = tileChangeCallback;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.tilesLoading_ = 0;\n        /**\n         * @private\n         * @type {!Object<string,boolean>}\n         */\n        _this.tilesLoadingKeys_ = {};\n        return _this;\n    }\n    /**\n     * @param {Array} element Element.\n     * @return {boolean} The element was added to the queue.\n     */\n    TileQueue.prototype.enqueue = function (element) {\n        var added = _super.prototype.enqueue.call(this, element);\n        if (added) {\n            var tile = element[0];\n            tile.addEventListener(EventType.CHANGE, this.boundHandleTileChange_);\n        }\n        return added;\n    };\n    /**\n     * @return {number} Number of tiles loading.\n     */\n    TileQueue.prototype.getTilesLoading = function () {\n        return this.tilesLoading_;\n    };\n    /**\n     * @param {import(\"./events/Event.js\").default} event Event.\n     * @protected\n     */\n    TileQueue.prototype.handleTileChange = function (event) {\n        var tile = /** @type {import(\"./Tile.js\").default} */ (event.target);\n        var state = tile.getState();\n        if (state === TileState.LOADED ||\n            state === TileState.ERROR ||\n            state === TileState.EMPTY) {\n            tile.removeEventListener(EventType.CHANGE, this.boundHandleTileChange_);\n            var tileKey = tile.getKey();\n            if (tileKey in this.tilesLoadingKeys_) {\n                delete this.tilesLoadingKeys_[tileKey];\n                --this.tilesLoading_;\n            }\n            this.tileChangeCallback_();\n        }\n    };\n    /**\n     * @param {number} maxTotalLoading Maximum number tiles to load simultaneously.\n     * @param {number} maxNewLoads Maximum number of new tiles to load.\n     */\n    TileQueue.prototype.loadMoreTiles = function (maxTotalLoading, maxNewLoads) {\n        var newLoads = 0;\n        var state, tile, tileKey;\n        while (this.tilesLoading_ < maxTotalLoading &&\n            newLoads < maxNewLoads &&\n            this.getCount() > 0) {\n            tile = /** @type {import(\"./Tile.js\").default} */ (this.dequeue()[0]);\n            tileKey = tile.getKey();\n            state = tile.getState();\n            if (state === TileState.IDLE && !(tileKey in this.tilesLoadingKeys_)) {\n                this.tilesLoadingKeys_[tileKey] = true;\n                ++this.tilesLoading_;\n                ++newLoads;\n                tile.load();\n            }\n        }\n    };\n    return TileQueue;\n}(PriorityQueue));\nexport default TileQueue;\n/**\n * @param {import('./PluggableMap.js').FrameState} frameState Frame state.\n * @param {import(\"./Tile.js\").default} tile Tile.\n * @param {string} tileSourceKey Tile source key.\n * @param {import(\"./coordinate.js\").Coordinate} tileCenter Tile center.\n * @param {number} tileResolution Tile resolution.\n * @return {number} Tile priority.\n */\nexport function getTilePriority(frameState, tile, tileSourceKey, tileCenter, tileResolution) {\n    // Filter out tiles at higher zoom levels than the current zoom level, or that\n    // are outside the visible extent.\n    if (!frameState || !(tileSourceKey in frameState.wantedTiles)) {\n        return DROP;\n    }\n    if (!frameState.wantedTiles[tileSourceKey][tile.getKey()]) {\n        return DROP;\n    }\n    // Prioritize the highest zoom level tiles closest to the focus.\n    // Tiles at higher zoom levels are prioritized using Math.log(tileResolution).\n    // Within a zoom level, tiles are prioritized by the distance in pixels between\n    // the center of the tile and the center of the viewport.  The factor of 65536\n    // means that the prioritization should behave as desired for tiles up to\n    // 65536 * Math.log(2) = 45426 pixels from the focus.\n    var center = frameState.viewState.center;\n    var deltaX = tileCenter[0] - center[0];\n    var deltaY = tileCenter[1] - center[1];\n    return (65536 * Math.log(tileResolution) +\n        Math.sqrt(deltaX * deltaX + deltaY * deltaY) / tileResolution);\n}\n//# sourceMappingURL=TileQueue.js.map","/**\n * @module ol/ViewProperty\n */\n/**\n * @enum {string}\n */\nexport default {\n    CENTER: 'center',\n    RESOLUTION: 'resolution',\n    ROTATION: 'rotation',\n};\n//# sourceMappingURL=ViewProperty.js.map","/**\n * @module ol/tilegrid/common\n */\n/**\n * Default maximum zoom for default tile grids.\n * @type {number}\n */\nexport var DEFAULT_MAX_ZOOM = 42;\n/**\n * Default tile size.\n * @type {number}\n */\nexport var DEFAULT_TILE_SIZE = 256;\n//# sourceMappingURL=common.js.map","/**\n * @module ol/centerconstraint\n */\nimport { clamp } from './math.js';\n/**\n * @typedef {function((import(\"./coordinate.js\").Coordinate|undefined), number, import(\"./size.js\").Size, boolean=, Array<number>=): (import(\"./coordinate.js\").Coordinate|undefined)} Type\n */\n/**\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {boolean} onlyCenter If true, the constraint will only apply to the view center.\n * @param {boolean} smooth If true, the view will be able to go slightly out of the given extent\n * (only during interaction and animation).\n * @return {Type} The constraint.\n */\nexport function createExtent(extent, onlyCenter, smooth) {\n    return (\n    /**\n     * @param {import(\"./coordinate.js\").Coordinate|undefined} center Center.\n     * @param {number} resolution Resolution.\n     * @param {import(\"./size.js\").Size} size Viewport size; unused if `onlyCenter` was specified.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @param {Array<number>} [opt_centerShift] Shift between map center and viewport center.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} Center.\n     */\n    function (center, resolution, size, opt_isMoving, opt_centerShift) {\n        if (center) {\n            var viewWidth = onlyCenter ? 0 : size[0] * resolution;\n            var viewHeight = onlyCenter ? 0 : size[1] * resolution;\n            var shiftX = opt_centerShift ? opt_centerShift[0] : 0;\n            var shiftY = opt_centerShift ? opt_centerShift[1] : 0;\n            var minX = extent[0] + viewWidth / 2 + shiftX;\n            var maxX = extent[2] - viewWidth / 2 + shiftX;\n            var minY = extent[1] + viewHeight / 2 + shiftY;\n            var maxY = extent[3] - viewHeight / 2 + shiftY;\n            // note: when zooming out of bounds, min and max values for x and y may\n            // end up inverted (min > max); this has to be accounted for\n            if (minX > maxX) {\n                minX = (maxX + minX) / 2;\n                maxX = minX;\n            }\n            if (minY > maxY) {\n                minY = (maxY + minY) / 2;\n                maxY = minY;\n            }\n            var x = clamp(center[0], minX, maxX);\n            var y = clamp(center[1], minY, maxY);\n            var ratio = 30 * resolution;\n            // during an interaction, allow some overscroll\n            if (opt_isMoving && smooth) {\n                x +=\n                    -ratio * Math.log(1 + Math.max(0, minX - center[0]) / ratio) +\n                        ratio * Math.log(1 + Math.max(0, center[0] - maxX) / ratio);\n                y +=\n                    -ratio * Math.log(1 + Math.max(0, minY - center[1]) / ratio) +\n                        ratio * Math.log(1 + Math.max(0, center[1] - maxY) / ratio);\n            }\n            return [x, y];\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n/**\n * @param {import(\"./coordinate.js\").Coordinate} [center] Center.\n * @return {import(\"./coordinate.js\").Coordinate|undefined} Center.\n */\nexport function none(center) {\n    return center;\n}\n//# sourceMappingURL=centerconstraint.js.map","/**\n * @module ol/resolutionconstraint\n */\nimport { clamp } from './math.js';\nimport { getHeight, getWidth } from './extent.js';\nimport { linearFindNearest } from './array.js';\n/**\n * @typedef {function((number|undefined), number, import(\"./size.js\").Size, boolean=): (number|undefined)} Type\n */\n/**\n * Returns a modified resolution taking into account the viewport size and maximum\n * allowed extent.\n * @param {number} resolution Resolution\n * @param {import(\"./extent.js\").Extent} maxExtent Maximum allowed extent.\n * @param {import(\"./size.js\").Size} viewportSize Viewport size.\n * @param {boolean} showFullExtent Whether to show the full extent.\n * @return {number} Capped resolution.\n */\nfunction getViewportClampedResolution(resolution, maxExtent, viewportSize, showFullExtent) {\n    var xResolution = getWidth(maxExtent) / viewportSize[0];\n    var yResolution = getHeight(maxExtent) / viewportSize[1];\n    if (showFullExtent) {\n        return Math.min(resolution, Math.max(xResolution, yResolution));\n    }\n    return Math.min(resolution, Math.min(xResolution, yResolution));\n}\n/**\n * Returns a modified resolution to be between maxResolution and minResolution while\n * still allowing the value to be slightly out of bounds.\n * Note: the computation is based on the logarithm function (ln):\n *  - at 1, ln(x) is 0\n *  - above 1, ln(x) keeps increasing but at a much slower pace than x\n * The final result is clamped to prevent getting too far away from bounds.\n * @param {number} resolution Resolution.\n * @param {number} maxResolution Max resolution.\n * @param {number} minResolution Min resolution.\n * @return {number} Smoothed resolution.\n */\nfunction getSmoothClampedResolution(resolution, maxResolution, minResolution) {\n    var result = Math.min(resolution, maxResolution);\n    var ratio = 50;\n    result *=\n        Math.log(1 + ratio * Math.max(0, resolution / maxResolution - 1)) / ratio +\n            1;\n    if (minResolution) {\n        result = Math.max(result, minResolution);\n        result /=\n            Math.log(1 + ratio * Math.max(0, minResolution / resolution - 1)) /\n                ratio +\n                1;\n    }\n    return clamp(result, minResolution / 2, maxResolution * 2);\n}\n/**\n * @param {Array<number>} resolutions Resolutions.\n * @param {boolean} [opt_smooth] If true, the view will be able to slightly exceed resolution limits. Default: true.\n * @param {import(\"./extent.js\").Extent} [opt_maxExtent] Maximum allowed extent.\n * @param {boolean} [opt_showFullExtent] If true, allows us to show the full extent. Default: false.\n * @return {Type} Zoom function.\n */\nexport function createSnapToResolutions(resolutions, opt_smooth, opt_maxExtent, opt_showFullExtent) {\n    return (\n    /**\n     * @param {number|undefined} resolution Resolution.\n     * @param {number} direction Direction.\n     * @param {import(\"./size.js\").Size} size Viewport size.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @return {number|undefined} Resolution.\n     */\n    function (resolution, direction, size, opt_isMoving) {\n        if (resolution !== undefined) {\n            var maxResolution = resolutions[0];\n            var minResolution = resolutions[resolutions.length - 1];\n            var cappedMaxRes = opt_maxExtent\n                ? getViewportClampedResolution(maxResolution, opt_maxExtent, size, opt_showFullExtent)\n                : maxResolution;\n            // during interacting or animating, allow intermediary values\n            if (opt_isMoving) {\n                var smooth = opt_smooth !== undefined ? opt_smooth : true;\n                if (!smooth) {\n                    return clamp(resolution, minResolution, cappedMaxRes);\n                }\n                return getSmoothClampedResolution(resolution, cappedMaxRes, minResolution);\n            }\n            var capped = Math.min(cappedMaxRes, resolution);\n            var z = Math.floor(linearFindNearest(resolutions, capped, direction));\n            if (resolutions[z] > cappedMaxRes && z < resolutions.length - 1) {\n                return resolutions[z + 1];\n            }\n            return resolutions[z];\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n/**\n * @param {number} power Power.\n * @param {number} maxResolution Maximum resolution.\n * @param {number} [opt_minResolution] Minimum resolution.\n * @param {boolean} [opt_smooth] If true, the view will be able to slightly exceed resolution limits. Default: true.\n * @param {import(\"./extent.js\").Extent} [opt_maxExtent] Maximum allowed extent.\n * @param {boolean} [opt_showFullExtent] If true, allows us to show the full extent. Default: false.\n * @return {Type} Zoom function.\n */\nexport function createSnapToPower(power, maxResolution, opt_minResolution, opt_smooth, opt_maxExtent, opt_showFullExtent) {\n    return (\n    /**\n     * @param {number|undefined} resolution Resolution.\n     * @param {number} direction Direction.\n     * @param {import(\"./size.js\").Size} size Viewport size.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @return {number|undefined} Resolution.\n     */\n    function (resolution, direction, size, opt_isMoving) {\n        if (resolution !== undefined) {\n            var cappedMaxRes = opt_maxExtent\n                ? getViewportClampedResolution(maxResolution, opt_maxExtent, size, opt_showFullExtent)\n                : maxResolution;\n            var minResolution = opt_minResolution !== undefined ? opt_minResolution : 0;\n            // during interacting or animating, allow intermediary values\n            if (opt_isMoving) {\n                var smooth = opt_smooth !== undefined ? opt_smooth : true;\n                if (!smooth) {\n                    return clamp(resolution, minResolution, cappedMaxRes);\n                }\n                return getSmoothClampedResolution(resolution, cappedMaxRes, minResolution);\n            }\n            var tolerance = 1e-9;\n            var minZoomLevel = Math.ceil(Math.log(maxResolution / cappedMaxRes) / Math.log(power) - tolerance);\n            var offset = -direction * (0.5 - tolerance) + 0.5;\n            var capped = Math.min(cappedMaxRes, resolution);\n            var cappedZoomLevel = Math.floor(Math.log(maxResolution / capped) / Math.log(power) + offset);\n            var zoomLevel = Math.max(minZoomLevel, cappedZoomLevel);\n            var newResolution = maxResolution / Math.pow(power, zoomLevel);\n            return clamp(newResolution, minResolution, cappedMaxRes);\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n/**\n * @param {number} maxResolution Max resolution.\n * @param {number} minResolution Min resolution.\n * @param {boolean} [opt_smooth] If true, the view will be able to slightly exceed resolution limits. Default: true.\n * @param {import(\"./extent.js\").Extent} [opt_maxExtent] Maximum allowed extent.\n * @param {boolean} [opt_showFullExtent] If true, allows us to show the full extent. Default: false.\n * @return {Type} Zoom function.\n */\nexport function createMinMaxResolution(maxResolution, minResolution, opt_smooth, opt_maxExtent, opt_showFullExtent) {\n    return (\n    /**\n     * @param {number|undefined} resolution Resolution.\n     * @param {number} direction Direction.\n     * @param {import(\"./size.js\").Size} size Viewport size.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @return {number|undefined} Resolution.\n     */\n    function (resolution, direction, size, opt_isMoving) {\n        if (resolution !== undefined) {\n            var cappedMaxRes = opt_maxExtent\n                ? getViewportClampedResolution(maxResolution, opt_maxExtent, size, opt_showFullExtent)\n                : maxResolution;\n            var smooth = opt_smooth !== undefined ? opt_smooth : true;\n            if (!smooth || !opt_isMoving) {\n                return clamp(resolution, minResolution, cappedMaxRes);\n            }\n            return getSmoothClampedResolution(resolution, cappedMaxRes, minResolution);\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n//# sourceMappingURL=resolutionconstraint.js.map","/**\n * @module ol/rotationconstraint\n */\nimport { toRadians } from './math.js';\n/**\n * @typedef {function((number|undefined), boolean=): (number|undefined)} Type\n */\n/**\n * @param {number|undefined} rotation Rotation.\n * @return {number|undefined} Rotation.\n */\nexport function disable(rotation) {\n    if (rotation !== undefined) {\n        return 0;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {number|undefined} rotation Rotation.\n * @return {number|undefined} Rotation.\n */\nexport function none(rotation) {\n    if (rotation !== undefined) {\n        return rotation;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {number} n N.\n * @return {Type} Rotation constraint.\n */\nexport function createSnapToN(n) {\n    var theta = (2 * Math.PI) / n;\n    return (\n    /**\n     * @param {number|undefined} rotation Rotation.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @return {number|undefined} Rotation.\n     */\n    function (rotation, opt_isMoving) {\n        if (opt_isMoving) {\n            return rotation;\n        }\n        if (rotation !== undefined) {\n            rotation = Math.floor(rotation / theta + 0.5) * theta;\n            return rotation;\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n/**\n * @param {number} [opt_tolerance] Tolerance.\n * @return {Type} Rotation constraint.\n */\nexport function createSnapToZero(opt_tolerance) {\n    var tolerance = opt_tolerance || toRadians(5);\n    return (\n    /**\n     * @param {number|undefined} rotation Rotation.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @return {number|undefined} Rotation.\n     */\n    function (rotation, opt_isMoving) {\n        if (opt_isMoving) {\n            return rotation;\n        }\n        if (rotation !== undefined) {\n            if (Math.abs(rotation) <= tolerance) {\n                return 0;\n            }\n            else {\n                return rotation;\n            }\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n//# sourceMappingURL=rotationconstraint.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/View\n */\nimport BaseObject from './Object.js';\nimport GeometryType from './geom/GeometryType.js';\nimport Units from './proj/Units.js';\nimport ViewHint from './ViewHint.js';\nimport ViewProperty from './ViewProperty.js';\nimport { DEFAULT_TILE_SIZE } from './tilegrid/common.js';\nimport { METERS_PER_UNIT, createProjection, fromUserCoordinate, fromUserExtent, getUserProjection, toUserCoordinate, toUserExtent, } from './proj.js';\nimport { VOID } from './functions.js';\nimport { add as addCoordinate, equals as coordinatesEqual, rotate as rotateCoordinate, } from './coordinate.js';\nimport { assert } from './asserts.js';\nimport { assign } from './obj.js';\nimport { none as centerNone, createExtent } from './centerconstraint.js';\nimport { clamp, modulo } from './math.js';\nimport { createMinMaxResolution } from './resolutionconstraint.js';\nimport { createSnapToN, createSnapToZero, disable, none as rotationNone, } from './rotationconstraint.js';\nimport { createSnapToPower, createSnapToResolutions, } from './resolutionconstraint.js';\nimport { easeOut } from './easing.js';\nimport { equals } from './coordinate.js';\nimport { getCenter, getForViewAndSize, getHeight, getWidth, isEmpty, } from './extent.js';\nimport { inAndOut } from './easing.js';\nimport { linearFindNearest } from './array.js';\nimport { fromExtent as polygonFromExtent } from './geom/Polygon.js';\n/**\n * An animation configuration\n *\n * @typedef {Object} Animation\n * @property {import(\"./coordinate.js\").Coordinate} [sourceCenter] Source center.\n * @property {import(\"./coordinate.js\").Coordinate} [targetCenter] Target center.\n * @property {number} [sourceResolution] Source resolution.\n * @property {number} [targetResolution] Target resolution.\n * @property {number} [sourceRotation] Source rotation.\n * @property {number} [targetRotation] Target rotation.\n * @property {import(\"./coordinate.js\").Coordinate} [anchor] Anchor.\n * @property {number} start Start.\n * @property {number} duration Duration.\n * @property {boolean} complete Complete.\n * @property {function(number):number} easing Easing.\n * @property {function(boolean):void} callback Callback.\n */\n/**\n * @typedef {Object} Constraints\n * @property {import(\"./centerconstraint.js\").Type} center Center.\n * @property {import(\"./resolutionconstraint.js\").Type} resolution Resolution.\n * @property {import(\"./rotationconstraint.js\").Type} rotation Rotation.\n */\n/**\n * @typedef {Object} FitOptions\n * @property {import(\"./size.js\").Size} [size] The size in pixels of the box to fit\n * the extent into. Default is the current size of the first map in the DOM that\n * uses this view, or `[100, 100]` if no such map is found.\n * @property {!Array<number>} [padding=[0, 0, 0, 0]] Padding (in pixels) to be\n * cleared inside the view. Values in the array are top, right, bottom and left\n * padding.\n * @property {boolean} [nearest=false] If the view `constrainResolution` option is `true`,\n * get the nearest extent instead of the closest that actually fits the view.\n * @property {number} [minResolution=0] Minimum resolution that we zoom to.\n * @property {number} [maxZoom] Maximum zoom level that we zoom to. If\n * `minResolution` is given, this property is ignored.\n * @property {number} [duration] The duration of the animation in milliseconds.\n * By default, there is no animation to the target extent.\n * @property {function(number):number} [easing] The easing function used during\n * the animation (defaults to {@link module:ol/easing.inAndOut}).\n * The function will be called for each frame with a number representing a\n * fraction of the animation's duration.  The function should return a number\n * between 0 and 1 representing the progress toward the destination state.\n * @property {function(boolean):void} [callback] Function called when the view is in\n * its final position. The callback will be called with `true` if the animation\n * series completed on its own or `false` if it was cancelled.\n */\n/**\n * @typedef {Object} ViewOptions\n * @property {import(\"./coordinate.js\").Coordinate} [center] The initial center for\n * the view. If a user projection is not set, the coordinate system for the center is\n * specified with the `projection` option. Layer sources will not be fetched if this\n * is not set, but the center can be set later with {@link #setCenter}.\n * @property {boolean|number} [constrainRotation=true] Rotation constraint.\n * `false` means no constraint. `true` means no constraint, but snap to zero\n * near zero. A number constrains the rotation to that number of values. For\n * example, `4` will constrain the rotation to 0, 90, 180, and 270 degrees.\n * @property {boolean} [enableRotation=true] Enable rotation.\n * If `false`, a rotation constraint that always sets the rotation to zero is\n * used. The `constrainRotation` option has no effect if `enableRotation` is\n * `false`.\n * @property {import(\"./extent.js\").Extent} [extent] The extent that constrains the\n * view, in other words, nothing outside of this extent can be visible on the map.\n * @property {boolean} [constrainOnlyCenter=false] If true, the extent\n * constraint will only apply to the view center and not the whole extent.\n * @property {boolean} [smoothExtentConstraint=true] If true, the extent\n * constraint will be applied smoothly, i.e. allow the view to go slightly outside\n * of the given `extent`.\n * @property {number} [maxResolution] The maximum resolution used to determine\n * the resolution constraint. It is used together with `minResolution` (or\n * `maxZoom`) and `zoomFactor`. If unspecified it is calculated in such a way\n * that the projection's validity extent fits in a 256x256 px tile. If the\n * projection is Spherical Mercator (the default) then `maxResolution` defaults\n * to `40075016.68557849 / 256 = 156543.03392804097`.\n * @property {number} [minResolution] The minimum resolution used to determine\n * the resolution constraint.  It is used together with `maxResolution` (or\n * `minZoom`) and `zoomFactor`.  If unspecified it is calculated assuming 29\n * zoom levels (with a factor of 2). If the projection is Spherical Mercator\n * (the default) then `minResolution` defaults to\n * `40075016.68557849 / 256 / Math.pow(2, 28) = 0.0005831682455839253`.\n * @property {number} [maxZoom=28] The maximum zoom level used to determine the\n * resolution constraint. It is used together with `minZoom` (or\n * `maxResolution`) and `zoomFactor`.  Note that if `minResolution` is also\n * provided, it is given precedence over `maxZoom`.\n * @property {number} [minZoom=0] The minimum zoom level used to determine the\n * resolution constraint. It is used together with `maxZoom` (or\n * `minResolution`) and `zoomFactor`.  Note that if `maxResolution` is also\n * provided, it is given precedence over `minZoom`.\n * @property {boolean} [multiWorld=false] If `false` the view is constrained so\n * only one world is visible, and you cannot pan off the edge.  If `true` the map\n * may show multiple worlds at low zoom levels.  Only used if the `projection` is\n * global.  Note that if `extent` is also provided it is given precedence.\n * @property {boolean} [constrainResolution=false] If true, the view will always\n * animate to the closest zoom level after an interaction; false means\n * intermediary zoom levels are allowed.\n * @property {boolean} [smoothResolutionConstraint=true] If true, the resolution\n * min/max values will be applied smoothly, i. e. allow the view to exceed slightly\n * the given resolution or zoom bounds.\n * @property {boolean} [showFullExtent=false] Allow the view to be zoomed out to\n * show the full configured extent. By default, when a view is configured with an\n * extent, users will not be able to zoom out so the viewport exceeds the extent in\n * either dimension. This means the full extent may not be visible if the viewport\n * is taller or wider than the aspect ratio of the configured extent. If\n * showFullExtent is true, the user will be able to zoom out so that the viewport\n * exceeds the height or width of the configured extent, but not both, allowing the\n * full extent to be shown.\n * @property {import(\"./proj.js\").ProjectionLike} [projection='EPSG:3857'] The\n * projection. The default is Spherical Mercator.\n * @property {number} [resolution] The initial resolution for the view. The\n * units are `projection` units per pixel (e.g. meters per pixel). An\n * alternative to setting this is to set `zoom`. Layer sources will not be\n * fetched if neither this nor `zoom` are defined, but they can be set later\n * with {@link #setZoom} or {@link #setResolution}.\n * @property {Array<number>} [resolutions] Resolutions that determine the\n * zoom levels if specified. The index in the array corresponds to the zoom level,\n * therefore the resolution values have to be in descending order. It also constrains\n * the resolution by the minimum and maximum value. If set the `maxResolution`,\n * `minResolution`, `minZoom`, `maxZoom`, and `zoomFactor` options are ignored.\n * @property {number} [rotation=0] The initial rotation for the view in radians\n * (positive rotation clockwise, 0 means North).\n * @property {number} [zoom] Only used if `resolution` is not defined. Zoom\n * level used to calculate the initial resolution for the view.\n * @property {number} [zoomFactor=2] The zoom factor used to compute the\n * corresponding resolution.\n * @property {!Array<number>} [padding=[0, 0, 0, 0]] Padding (in css pixels).\n * If the map viewport is partially covered with other content (overlays) along\n * its edges, this setting allows to shift the center of the viewport away from\n * that content. The order of the values is top, right, bottom, left.\n */\n/**\n * @typedef {Object} AnimationOptions\n * @property {import(\"./coordinate.js\").Coordinate} [center] The center of the view at the end of\n * the animation.\n * @property {number} [zoom] The zoom level of the view at the end of the\n * animation. This takes precedence over `resolution`.\n * @property {number} [resolution] The resolution of the view at the end\n * of the animation.  If `zoom` is also provided, this option will be ignored.\n * @property {number} [rotation] The rotation of the view at the end of\n * the animation.\n * @property {import(\"./coordinate.js\").Coordinate} [anchor] Optional anchor to remain fixed\n * during a rotation or resolution animation.\n * @property {number} [duration=1000] The duration of the animation in milliseconds.\n * @property {function(number):number} [easing] The easing function used\n * during the animation (defaults to {@link module:ol/easing.inAndOut}).\n * The function will be called for each frame with a number representing a\n * fraction of the animation's duration.  The function should return a number\n * between 0 and 1 representing the progress toward the destination state.\n */\n/**\n * @typedef {Object} State\n * @property {import(\"./coordinate.js\").Coordinate} center Center.\n * @property {import(\"./proj/Projection.js\").default} projection Projection.\n * @property {number} resolution Resolution.\n * @property {import(\"./coordinate.js\").Coordinate} [nextCenter] The next center during an animation series.\n * @property {number} [nextResolution] The next resolution during an animation series.\n * @property {number} [nextRotation] The next rotation during an animation series.\n * @property {number} rotation Rotation.\n * @property {number} zoom Zoom.\n */\n/**\n * Default min zoom level for the map view.\n * @type {number}\n */\nvar DEFAULT_MIN_ZOOM = 0;\n/**\n * @typedef {import(\"./ObjectEventType\").Types|'change:center'|'change:resolution'|'change:rotation'} ViewObjectEventTypes\n */\n/***\n * @template Return\n * @typedef {import(\"./Observable\").OnSignature<import(\"./Observable\").EventTypes, import(\"./events/Event.js\").default, Return> &\n *   import(\"./Observable\").OnSignature<ViewObjectEventTypes, import(\"./Object\").ObjectEvent, Return> &\n *   import(\"./Observable\").CombinedOnSignature<import(\"./Observable\").EventTypes|ViewObjectEventTypes, Return>} ViewOnSignature\n */\n/**\n * @classdesc\n * A View object represents a simple 2D view of the map.\n *\n * This is the object to act upon to change the center, resolution,\n * and rotation of the map.\n *\n * A View has a `projection`. The projection determines the\n * coordinate system of the center, and its units determine the units of the\n * resolution (projection units per pixel). The default projection is\n * Spherical Mercator (EPSG:3857).\n *\n * ### The view states\n *\n * A View is determined by three states: `center`, `resolution`,\n * and `rotation`. Each state has a corresponding getter and setter, e.g.\n * `getCenter` and `setCenter` for the `center` state.\n *\n * The `zoom` state is actually not saved on the view: all computations\n * internally use the `resolution` state. Still, the `setZoom` and `getZoom`\n * methods are available, as well as `getResolutionForZoom` and\n * `getZoomForResolution` to switch from one system to the other.\n *\n * ### The constraints\n *\n * `setCenter`, `setResolution` and `setRotation` can be used to change the\n * states of the view, but any constraint defined in the constructor will\n * be applied along the way.\n *\n * A View object can have a *resolution constraint*, a *rotation constraint*\n * and a *center constraint*.\n *\n * The *resolution constraint* typically restricts min/max values and\n * snaps to specific resolutions. It is determined by the following\n * options: `resolutions`, `maxResolution`, `maxZoom` and `zoomFactor`.\n * If `resolutions` is set, the other three options are ignored. See\n * documentation for each option for more information. By default, the view\n * only has a min/max restriction and allow intermediary zoom levels when\n * pinch-zooming for example.\n *\n * The *rotation constraint* snaps to specific angles. It is determined\n * by the following options: `enableRotation` and `constrainRotation`.\n * By default rotation is allowed and its value is snapped to zero when approaching the\n * horizontal.\n *\n * The *center constraint* is determined by the `extent` option. By\n * default the view center is not constrained at all.\n *\n * ### Changing the view state\n *\n * It is important to note that `setZoom`, `setResolution`, `setCenter` and\n * `setRotation` are subject to the above mentioned constraints. As such, it\n * may sometimes not be possible to know in advance the resulting state of the\n * View. For example, calling `setResolution(10)` does not guarantee that\n * `getResolution()` will return `10`.\n *\n * A consequence of this is that, when applying a delta on the view state, one\n * should use `adjustCenter`, `adjustRotation`, `adjustZoom` and `adjustResolution`\n * rather than the corresponding setters. This will let view do its internal\n * computations. Besides, the `adjust*` methods also take an `opt_anchor`\n * argument which allows specifying an origin for the transformation.\n *\n * ### Interacting with the view\n *\n * View constraints are usually only applied when the view is *at rest*, meaning that\n * no interaction or animation is ongoing. As such, if the user puts the view in a\n * state that is not equivalent to a constrained one (e.g. rotating the view when\n * the snap angle is 0), an animation will be triggered at the interaction end to\n * put back the view to a stable state;\n *\n * @api\n */\nvar View = /** @class */ (function (_super) {\n    __extends(View, _super);\n    /**\n     * @param {ViewOptions} [opt_options] View options.\n     */\n    function View(opt_options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {ViewOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ViewOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ViewOnSignature<void>}\n         */\n        _this.un;\n        var options = assign({}, opt_options);\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.hints_ = [0, 0];\n        /**\n         * @private\n         * @type {Array<Array<Animation>>}\n         */\n        _this.animations_ = [];\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.updateAnimationKey_;\n        /**\n         * @private\n         * @const\n         * @type {import(\"./proj/Projection.js\").default}\n         */\n        _this.projection_ = createProjection(options.projection, 'EPSG:3857');\n        /**\n         * @private\n         * @type {import(\"./size.js\").Size}\n         */\n        _this.viewportSize_ = [100, 100];\n        /**\n         * @private\n         * @type {import(\"./coordinate.js\").Coordinate|undefined}\n         */\n        _this.targetCenter_ = null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.targetResolution_;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.targetRotation_;\n        /**\n         * @private\n         * @type {import(\"./coordinate.js\").Coordinate}\n         */\n        _this.nextCenter_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.nextResolution_;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.nextRotation_;\n        /**\n         * @private\n         * @type {import(\"./coordinate.js\").Coordinate|undefined}\n         */\n        _this.cancelAnchor_ = undefined;\n        if (options.center) {\n            options.center = fromUserCoordinate(options.center, _this.projection_);\n        }\n        if (options.extent) {\n            options.extent = fromUserExtent(options.extent, _this.projection_);\n        }\n        _this.applyOptions_(options);\n        return _this;\n    }\n    /**\n     * Set up the view with the given options.\n     * @param {ViewOptions} options View options.\n     */\n    View.prototype.applyOptions_ = function (options) {\n        var properties = assign({}, options);\n        for (var key in ViewProperty) {\n            delete properties[key];\n        }\n        this.setProperties(properties, true);\n        var resolutionConstraintInfo = createResolutionConstraint(options);\n        /**\n         * @private\n         * @type {number}\n         */\n        this.maxResolution_ = resolutionConstraintInfo.maxResolution;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.minResolution_ = resolutionConstraintInfo.minResolution;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.zoomFactor_ = resolutionConstraintInfo.zoomFactor;\n        /**\n         * @private\n         * @type {Array<number>|undefined}\n         */\n        this.resolutions_ = options.resolutions;\n        /**\n         * @type {Array<number>|undefined}\n         * @private\n         */\n        this.padding_ = options.padding;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.minZoom_ = resolutionConstraintInfo.minZoom;\n        var centerConstraint = createCenterConstraint(options);\n        var resolutionConstraint = resolutionConstraintInfo.constraint;\n        var rotationConstraint = createRotationConstraint(options);\n        /**\n         * @private\n         * @type {Constraints}\n         */\n        this.constraints_ = {\n            center: centerConstraint,\n            resolution: resolutionConstraint,\n            rotation: rotationConstraint,\n        };\n        this.setRotation(options.rotation !== undefined ? options.rotation : 0);\n        this.setCenterInternal(options.center !== undefined ? options.center : null);\n        if (options.resolution !== undefined) {\n            this.setResolution(options.resolution);\n        }\n        else if (options.zoom !== undefined) {\n            this.setZoom(options.zoom);\n        }\n    };\n    Object.defineProperty(View.prototype, \"padding\", {\n        /**\n         * Padding (in css pixels).\n         * If the map viewport is partially covered with other content (overlays) along\n         * its edges, this setting allows to shift the center of the viewport away from that\n         * content. The order of the values in the array is top, right, bottom, left.\n         * The default is no padding, which is equivalent to `[0, 0, 0, 0]`.\n         * @type {Array<number>|undefined}\n         * @api\n         */\n        get: function () {\n            return this.padding_;\n        },\n        set: function (padding) {\n            var oldPadding = this.padding_;\n            this.padding_ = padding;\n            var center = this.getCenter();\n            if (center) {\n                var newPadding = padding || [0, 0, 0, 0];\n                oldPadding = oldPadding || [0, 0, 0, 0];\n                var resolution = this.getResolution();\n                var offsetX = (resolution / 2) *\n                    (newPadding[3] - oldPadding[3] + oldPadding[1] - newPadding[1]);\n                var offsetY = (resolution / 2) *\n                    (newPadding[0] - oldPadding[0] + oldPadding[2] - newPadding[2]);\n                this.setCenterInternal([center[0] + offsetX, center[1] - offsetY]);\n            }\n        },\n        enumerable: false,\n        configurable: true\n    });\n    /**\n     * Get an updated version of the view options used to construct the view.  The\n     * current resolution (or zoom), center, and rotation are applied to any stored\n     * options.  The provided options can be used to apply new min/max zoom or\n     * resolution limits.\n     * @param {ViewOptions} newOptions New options to be applied.\n     * @return {ViewOptions} New options updated with the current view state.\n     */\n    View.prototype.getUpdatedOptions_ = function (newOptions) {\n        var options = this.getProperties();\n        // preserve resolution (or zoom)\n        if (options.resolution !== undefined) {\n            options.resolution = this.getResolution();\n        }\n        else {\n            options.zoom = this.getZoom();\n        }\n        // preserve center\n        options.center = this.getCenterInternal();\n        // preserve rotation\n        options.rotation = this.getRotation();\n        return assign({}, options, newOptions);\n    };\n    /**\n     * Animate the view.  The view's center, zoom (or resolution), and rotation\n     * can be animated for smooth transitions between view states.  For example,\n     * to animate the view to a new zoom level:\n     *\n     *     view.animate({zoom: view.getZoom() + 1});\n     *\n     * By default, the animation lasts one second and uses in-and-out easing.  You\n     * can customize this behavior by including `duration` (in milliseconds) and\n     * `easing` options (see {@link module:ol/easing}).\n     *\n     * To chain together multiple animations, call the method with multiple\n     * animation objects.  For example, to first zoom and then pan:\n     *\n     *     view.animate({zoom: 10}, {center: [0, 0]});\n     *\n     * If you provide a function as the last argument to the animate method, it\n     * will get called at the end of an animation series.  The callback will be\n     * called with `true` if the animation series completed on its own or `false`\n     * if it was cancelled.\n     *\n     * Animations are cancelled by user interactions (e.g. dragging the map) or by\n     * calling `view.setCenter()`, `view.setResolution()`, or `view.setRotation()`\n     * (or another method that calls one of these).\n     *\n     * @param {...(AnimationOptions|function(boolean): void)} var_args Animation\n     *     options.  Multiple animations can be run in series by passing multiple\n     *     options objects.  To run multiple animations in parallel, call the method\n     *     multiple times.  An optional callback can be provided as a final\n     *     argument.  The callback will be called with a boolean indicating whether\n     *     the animation completed without being cancelled.\n     * @api\n     */\n    View.prototype.animate = function (var_args) {\n        if (this.isDef() && !this.getAnimating()) {\n            this.resolveConstraints(0);\n        }\n        var args = new Array(arguments.length);\n        for (var i = 0; i < args.length; ++i) {\n            var options = arguments[i];\n            if (options.center) {\n                options = assign({}, options);\n                options.center = fromUserCoordinate(options.center, this.getProjection());\n            }\n            if (options.anchor) {\n                options = assign({}, options);\n                options.anchor = fromUserCoordinate(options.anchor, this.getProjection());\n            }\n            args[i] = options;\n        }\n        this.animateInternal.apply(this, args);\n    };\n    /**\n     * @param {...(AnimationOptions|function(boolean): void)} var_args Animation options.\n     */\n    View.prototype.animateInternal = function (var_args) {\n        var animationCount = arguments.length;\n        var callback;\n        if (animationCount > 1 &&\n            typeof arguments[animationCount - 1] === 'function') {\n            callback = arguments[animationCount - 1];\n            --animationCount;\n        }\n        var i = 0;\n        for (; i < animationCount && !this.isDef(); ++i) {\n            // if view properties are not yet set, shortcut to the final state\n            var state = arguments[i];\n            if (state.center) {\n                this.setCenterInternal(state.center);\n            }\n            if (state.zoom !== undefined) {\n                this.setZoom(state.zoom);\n            }\n            else if (state.resolution) {\n                this.setResolution(state.resolution);\n            }\n            if (state.rotation !== undefined) {\n                this.setRotation(state.rotation);\n            }\n        }\n        if (i === animationCount) {\n            if (callback) {\n                animationCallback(callback, true);\n            }\n            return;\n        }\n        var start = Date.now();\n        var center = this.targetCenter_.slice();\n        var resolution = this.targetResolution_;\n        var rotation = this.targetRotation_;\n        var series = [];\n        for (; i < animationCount; ++i) {\n            var options = /** @type {AnimationOptions} */ (arguments[i]);\n            var animation = {\n                start: start,\n                complete: false,\n                anchor: options.anchor,\n                duration: options.duration !== undefined ? options.duration : 1000,\n                easing: options.easing || inAndOut,\n                callback: callback,\n            };\n            if (options.center) {\n                animation.sourceCenter = center;\n                animation.targetCenter = options.center.slice();\n                center = animation.targetCenter;\n            }\n            if (options.zoom !== undefined) {\n                animation.sourceResolution = resolution;\n                animation.targetResolution = this.getResolutionForZoom(options.zoom);\n                resolution = animation.targetResolution;\n            }\n            else if (options.resolution) {\n                animation.sourceResolution = resolution;\n                animation.targetResolution = options.resolution;\n                resolution = animation.targetResolution;\n            }\n            if (options.rotation !== undefined) {\n                animation.sourceRotation = rotation;\n                var delta = modulo(options.rotation - rotation + Math.PI, 2 * Math.PI) - Math.PI;\n                animation.targetRotation = rotation + delta;\n                rotation = animation.targetRotation;\n            }\n            // check if animation is a no-op\n            if (isNoopAnimation(animation)) {\n                animation.complete = true;\n                // we still push it onto the series for callback handling\n            }\n            else {\n                start += animation.duration;\n            }\n            series.push(animation);\n        }\n        this.animations_.push(series);\n        this.setHint(ViewHint.ANIMATING, 1);\n        this.updateAnimations_();\n    };\n    /**\n     * Determine if the view is being animated.\n     * @return {boolean} The view is being animated.\n     * @api\n     */\n    View.prototype.getAnimating = function () {\n        return this.hints_[ViewHint.ANIMATING] > 0;\n    };\n    /**\n     * Determine if the user is interacting with the view, such as panning or zooming.\n     * @return {boolean} The view is being interacted with.\n     * @api\n     */\n    View.prototype.getInteracting = function () {\n        return this.hints_[ViewHint.INTERACTING] > 0;\n    };\n    /**\n     * Cancel any ongoing animations.\n     * @api\n     */\n    View.prototype.cancelAnimations = function () {\n        this.setHint(ViewHint.ANIMATING, -this.hints_[ViewHint.ANIMATING]);\n        var anchor;\n        for (var i = 0, ii = this.animations_.length; i < ii; ++i) {\n            var series = this.animations_[i];\n            if (series[0].callback) {\n                animationCallback(series[0].callback, false);\n            }\n            if (!anchor) {\n                for (var j = 0, jj = series.length; j < jj; ++j) {\n                    var animation = series[j];\n                    if (!animation.complete) {\n                        anchor = animation.anchor;\n                        break;\n                    }\n                }\n            }\n        }\n        this.animations_.length = 0;\n        this.cancelAnchor_ = anchor;\n        this.nextCenter_ = null;\n        this.nextResolution_ = NaN;\n        this.nextRotation_ = NaN;\n    };\n    /**\n     * Update all animations.\n     */\n    View.prototype.updateAnimations_ = function () {\n        if (this.updateAnimationKey_ !== undefined) {\n            cancelAnimationFrame(this.updateAnimationKey_);\n            this.updateAnimationKey_ = undefined;\n        }\n        if (!this.getAnimating()) {\n            return;\n        }\n        var now = Date.now();\n        var more = false;\n        for (var i = this.animations_.length - 1; i >= 0; --i) {\n            var series = this.animations_[i];\n            var seriesComplete = true;\n            for (var j = 0, jj = series.length; j < jj; ++j) {\n                var animation = series[j];\n                if (animation.complete) {\n                    continue;\n                }\n                var elapsed = now - animation.start;\n                var fraction = animation.duration > 0 ? elapsed / animation.duration : 1;\n                if (fraction >= 1) {\n                    animation.complete = true;\n                    fraction = 1;\n                }\n                else {\n                    seriesComplete = false;\n                }\n                var progress = animation.easing(fraction);\n                if (animation.sourceCenter) {\n                    var x0 = animation.sourceCenter[0];\n                    var y0 = animation.sourceCenter[1];\n                    var x1 = animation.targetCenter[0];\n                    var y1 = animation.targetCenter[1];\n                    this.nextCenter_ = animation.targetCenter;\n                    var x = x0 + progress * (x1 - x0);\n                    var y = y0 + progress * (y1 - y0);\n                    this.targetCenter_ = [x, y];\n                }\n                if (animation.sourceResolution && animation.targetResolution) {\n                    var resolution = progress === 1\n                        ? animation.targetResolution\n                        : animation.sourceResolution +\n                            progress *\n                                (animation.targetResolution - animation.sourceResolution);\n                    if (animation.anchor) {\n                        var size = this.getViewportSize_(this.getRotation());\n                        var constrainedResolution = this.constraints_.resolution(resolution, 0, size, true);\n                        this.targetCenter_ = this.calculateCenterZoom(constrainedResolution, animation.anchor);\n                    }\n                    this.nextResolution_ = animation.targetResolution;\n                    this.targetResolution_ = resolution;\n                    this.applyTargetState_(true);\n                }\n                if (animation.sourceRotation !== undefined &&\n                    animation.targetRotation !== undefined) {\n                    var rotation = progress === 1\n                        ? modulo(animation.targetRotation + Math.PI, 2 * Math.PI) -\n                            Math.PI\n                        : animation.sourceRotation +\n                            progress *\n                                (animation.targetRotation - animation.sourceRotation);\n                    if (animation.anchor) {\n                        var constrainedRotation = this.constraints_.rotation(rotation, true);\n                        this.targetCenter_ = this.calculateCenterRotate(constrainedRotation, animation.anchor);\n                    }\n                    this.nextRotation_ = animation.targetRotation;\n                    this.targetRotation_ = rotation;\n                }\n                this.applyTargetState_(true);\n                more = true;\n                if (!animation.complete) {\n                    break;\n                }\n            }\n            if (seriesComplete) {\n                this.animations_[i] = null;\n                this.setHint(ViewHint.ANIMATING, -1);\n                this.nextCenter_ = null;\n                this.nextResolution_ = NaN;\n                this.nextRotation_ = NaN;\n                var callback = series[0].callback;\n                if (callback) {\n                    animationCallback(callback, true);\n                }\n            }\n        }\n        // prune completed series\n        this.animations_ = this.animations_.filter(Boolean);\n        if (more && this.updateAnimationKey_ === undefined) {\n            this.updateAnimationKey_ = requestAnimationFrame(this.updateAnimations_.bind(this));\n        }\n    };\n    /**\n     * @param {number} rotation Target rotation.\n     * @param {import(\"./coordinate.js\").Coordinate} anchor Rotation anchor.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} Center for rotation and anchor.\n     */\n    View.prototype.calculateCenterRotate = function (rotation, anchor) {\n        var center;\n        var currentCenter = this.getCenterInternal();\n        if (currentCenter !== undefined) {\n            center = [currentCenter[0] - anchor[0], currentCenter[1] - anchor[1]];\n            rotateCoordinate(center, rotation - this.getRotation());\n            addCoordinate(center, anchor);\n        }\n        return center;\n    };\n    /**\n     * @param {number} resolution Target resolution.\n     * @param {import(\"./coordinate.js\").Coordinate} anchor Zoom anchor.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} Center for resolution and anchor.\n     */\n    View.prototype.calculateCenterZoom = function (resolution, anchor) {\n        var center;\n        var currentCenter = this.getCenterInternal();\n        var currentResolution = this.getResolution();\n        if (currentCenter !== undefined && currentResolution !== undefined) {\n            var x = anchor[0] -\n                (resolution * (anchor[0] - currentCenter[0])) / currentResolution;\n            var y = anchor[1] -\n                (resolution * (anchor[1] - currentCenter[1])) / currentResolution;\n            center = [x, y];\n        }\n        return center;\n    };\n    /**\n     * Returns the current viewport size.\n     * @private\n     * @param {number} [opt_rotation] Take into account the rotation of the viewport when giving the size\n     * @return {import(\"./size.js\").Size} Viewport size or `[100, 100]` when no viewport is found.\n     */\n    View.prototype.getViewportSize_ = function (opt_rotation) {\n        var size = this.viewportSize_;\n        if (opt_rotation) {\n            var w = size[0];\n            var h = size[1];\n            return [\n                Math.abs(w * Math.cos(opt_rotation)) +\n                    Math.abs(h * Math.sin(opt_rotation)),\n                Math.abs(w * Math.sin(opt_rotation)) +\n                    Math.abs(h * Math.cos(opt_rotation)),\n            ];\n        }\n        else {\n            return size;\n        }\n    };\n    /**\n     * Stores the viewport size on the view. The viewport size is not read every time from the DOM\n     * to avoid performance hit and layout reflow.\n     * This should be done on map size change.\n     * Note: the constraints are not resolved during an animation to avoid stopping it\n     * @param {import(\"./size.js\").Size} [opt_size] Viewport size; if undefined, [100, 100] is assumed\n     */\n    View.prototype.setViewportSize = function (opt_size) {\n        this.viewportSize_ = Array.isArray(opt_size)\n            ? opt_size.slice()\n            : [100, 100];\n        if (!this.getAnimating()) {\n            this.resolveConstraints(0);\n        }\n    };\n    /**\n     * Get the view center.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} The center of the view.\n     * @observable\n     * @api\n     */\n    View.prototype.getCenter = function () {\n        var center = this.getCenterInternal();\n        if (!center) {\n            return center;\n        }\n        return toUserCoordinate(center, this.getProjection());\n    };\n    /**\n     * Get the view center without transforming to user projection.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} The center of the view.\n     */\n    View.prototype.getCenterInternal = function () {\n        return /** @type {import(\"./coordinate.js\").Coordinate|undefined} */ (this.get(ViewProperty.CENTER));\n    };\n    /**\n     * @return {Constraints} Constraints.\n     */\n    View.prototype.getConstraints = function () {\n        return this.constraints_;\n    };\n    /**\n     * @return {boolean} Resolution constraint is set\n     */\n    View.prototype.getConstrainResolution = function () {\n        return this.get('constrainResolution');\n    };\n    /**\n     * @param {Array<number>} [opt_hints] Destination array.\n     * @return {Array<number>} Hint.\n     */\n    View.prototype.getHints = function (opt_hints) {\n        if (opt_hints !== undefined) {\n            opt_hints[0] = this.hints_[0];\n            opt_hints[1] = this.hints_[1];\n            return opt_hints;\n        }\n        else {\n            return this.hints_.slice();\n        }\n    };\n    /**\n     * Calculate the extent for the current view state and the passed size.\n     * The size is the pixel dimensions of the box into which the calculated extent\n     * should fit. In most cases you want to get the extent of the entire map,\n     * that is `map.getSize()`.\n     * @param {import(\"./size.js\").Size} [opt_size] Box pixel size. If not provided, the size\n     * of the map that uses this view will be used.\n     * @return {import(\"./extent.js\").Extent} Extent.\n     * @api\n     */\n    View.prototype.calculateExtent = function (opt_size) {\n        var extent = this.calculateExtentInternal(opt_size);\n        return toUserExtent(extent, this.getProjection());\n    };\n    /**\n     * @param {import(\"./size.js\").Size} [opt_size] Box pixel size. If not provided,\n     * the map's last known viewport size will be used.\n     * @return {import(\"./extent.js\").Extent} Extent.\n     */\n    View.prototype.calculateExtentInternal = function (opt_size) {\n        var size = opt_size || this.getViewportSizeMinusPadding_();\n        var center = /** @type {!import(\"./coordinate.js\").Coordinate} */ (this.getCenterInternal());\n        assert(center, 1); // The view center is not defined\n        var resolution = /** @type {!number} */ (this.getResolution());\n        assert(resolution !== undefined, 2); // The view resolution is not defined\n        var rotation = /** @type {!number} */ (this.getRotation());\n        assert(rotation !== undefined, 3); // The view rotation is not defined\n        return getForViewAndSize(center, resolution, rotation, size);\n    };\n    /**\n     * Get the maximum resolution of the view.\n     * @return {number} The maximum resolution of the view.\n     * @api\n     */\n    View.prototype.getMaxResolution = function () {\n        return this.maxResolution_;\n    };\n    /**\n     * Get the minimum resolution of the view.\n     * @return {number} The minimum resolution of the view.\n     * @api\n     */\n    View.prototype.getMinResolution = function () {\n        return this.minResolution_;\n    };\n    /**\n     * Get the maximum zoom level for the view.\n     * @return {number} The maximum zoom level.\n     * @api\n     */\n    View.prototype.getMaxZoom = function () {\n        return /** @type {number} */ (this.getZoomForResolution(this.minResolution_));\n    };\n    /**\n     * Set a new maximum zoom level for the view.\n     * @param {number} zoom The maximum zoom level.\n     * @api\n     */\n    View.prototype.setMaxZoom = function (zoom) {\n        this.applyOptions_(this.getUpdatedOptions_({ maxZoom: zoom }));\n    };\n    /**\n     * Get the minimum zoom level for the view.\n     * @return {number} The minimum zoom level.\n     * @api\n     */\n    View.prototype.getMinZoom = function () {\n        return /** @type {number} */ (this.getZoomForResolution(this.maxResolution_));\n    };\n    /**\n     * Set a new minimum zoom level for the view.\n     * @param {number} zoom The minimum zoom level.\n     * @api\n     */\n    View.prototype.setMinZoom = function (zoom) {\n        this.applyOptions_(this.getUpdatedOptions_({ minZoom: zoom }));\n    };\n    /**\n     * Set whether the view should allow intermediary zoom levels.\n     * @param {boolean} enabled Whether the resolution is constrained.\n     * @api\n     */\n    View.prototype.setConstrainResolution = function (enabled) {\n        this.applyOptions_(this.getUpdatedOptions_({ constrainResolution: enabled }));\n    };\n    /**\n     * Get the view projection.\n     * @return {import(\"./proj/Projection.js\").default} The projection of the view.\n     * @api\n     */\n    View.prototype.getProjection = function () {\n        return this.projection_;\n    };\n    /**\n     * Get the view resolution.\n     * @return {number|undefined} The resolution of the view.\n     * @observable\n     * @api\n     */\n    View.prototype.getResolution = function () {\n        return /** @type {number|undefined} */ (this.get(ViewProperty.RESOLUTION));\n    };\n    /**\n     * Get the resolutions for the view. This returns the array of resolutions\n     * passed to the constructor of the View, or undefined if none were given.\n     * @return {Array<number>|undefined} The resolutions of the view.\n     * @api\n     */\n    View.prototype.getResolutions = function () {\n        return this.resolutions_;\n    };\n    /**\n     * Get the resolution for a provided extent (in map units) and size (in pixels).\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {import(\"./size.js\").Size} [opt_size] Box pixel size.\n     * @return {number} The resolution at which the provided extent will render at\n     *     the given size.\n     * @api\n     */\n    View.prototype.getResolutionForExtent = function (extent, opt_size) {\n        return this.getResolutionForExtentInternal(fromUserExtent(extent, this.getProjection()), opt_size);\n    };\n    /**\n     * Get the resolution for a provided extent (in map units) and size (in pixels).\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {import(\"./size.js\").Size} [opt_size] Box pixel size.\n     * @return {number} The resolution at which the provided extent will render at\n     *     the given size.\n     */\n    View.prototype.getResolutionForExtentInternal = function (extent, opt_size) {\n        var size = opt_size || this.getViewportSizeMinusPadding_();\n        var xResolution = getWidth(extent) / size[0];\n        var yResolution = getHeight(extent) / size[1];\n        return Math.max(xResolution, yResolution);\n    };\n    /**\n     * Return a function that returns a value between 0 and 1 for a\n     * resolution. Exponential scaling is assumed.\n     * @param {number} [opt_power] Power.\n     * @return {function(number): number} Resolution for value function.\n     */\n    View.prototype.getResolutionForValueFunction = function (opt_power) {\n        var power = opt_power || 2;\n        var maxResolution = this.getConstrainedResolution(this.maxResolution_);\n        var minResolution = this.minResolution_;\n        var max = Math.log(maxResolution / minResolution) / Math.log(power);\n        return (\n        /**\n         * @param {number} value Value.\n         * @return {number} Resolution.\n         */\n        function (value) {\n            var resolution = maxResolution / Math.pow(power, value * max);\n            return resolution;\n        });\n    };\n    /**\n     * Get the view rotation.\n     * @return {number} The rotation of the view in radians.\n     * @observable\n     * @api\n     */\n    View.prototype.getRotation = function () {\n        return /** @type {number} */ (this.get(ViewProperty.ROTATION));\n    };\n    /**\n     * Return a function that returns a resolution for a value between\n     * 0 and 1. Exponential scaling is assumed.\n     * @param {number} [opt_power] Power.\n     * @return {function(number): number} Value for resolution function.\n     */\n    View.prototype.getValueForResolutionFunction = function (opt_power) {\n        var logPower = Math.log(opt_power || 2);\n        var maxResolution = this.getConstrainedResolution(this.maxResolution_);\n        var minResolution = this.minResolution_;\n        var max = Math.log(maxResolution / minResolution) / logPower;\n        return (\n        /**\n         * @param {number} resolution Resolution.\n         * @return {number} Value.\n         */\n        function (resolution) {\n            var value = Math.log(maxResolution / resolution) / logPower / max;\n            return value;\n        });\n    };\n    /**\n     * Returns the size of the viewport minus padding.\n     * @private\n     * @param {number} [opt_rotation] Take into account the rotation of the viewport when giving the size\n     * @return {import(\"./size.js\").Size} Viewport size reduced by the padding.\n     */\n    View.prototype.getViewportSizeMinusPadding_ = function (opt_rotation) {\n        var size = this.getViewportSize_(opt_rotation);\n        var padding = this.padding_;\n        if (padding) {\n            size = [\n                size[0] - padding[1] - padding[3],\n                size[1] - padding[0] - padding[2],\n            ];\n        }\n        return size;\n    };\n    /**\n     * @return {State} View state.\n     */\n    View.prototype.getState = function () {\n        var projection = this.getProjection();\n        var resolution = this.getResolution();\n        var rotation = this.getRotation();\n        var center = /** @type {import(\"./coordinate.js\").Coordinate} */ (this.getCenterInternal());\n        var padding = this.padding_;\n        if (padding) {\n            var reducedSize = this.getViewportSizeMinusPadding_();\n            center = calculateCenterOn(center, this.getViewportSize_(), [reducedSize[0] / 2 + padding[3], reducedSize[1] / 2 + padding[0]], resolution, rotation);\n        }\n        return {\n            center: center.slice(0),\n            projection: projection !== undefined ? projection : null,\n            resolution: resolution,\n            nextCenter: this.nextCenter_,\n            nextResolution: this.nextResolution_,\n            nextRotation: this.nextRotation_,\n            rotation: rotation,\n            zoom: this.getZoom(),\n        };\n    };\n    /**\n     * Get the current zoom level. This method may return non-integer zoom levels\n     * if the view does not constrain the resolution, or if an interaction or\n     * animation is underway.\n     * @return {number|undefined} Zoom.\n     * @api\n     */\n    View.prototype.getZoom = function () {\n        var zoom;\n        var resolution = this.getResolution();\n        if (resolution !== undefined) {\n            zoom = this.getZoomForResolution(resolution);\n        }\n        return zoom;\n    };\n    /**\n     * Get the zoom level for a resolution.\n     * @param {number} resolution The resolution.\n     * @return {number|undefined} The zoom level for the provided resolution.\n     * @api\n     */\n    View.prototype.getZoomForResolution = function (resolution) {\n        var offset = this.minZoom_ || 0;\n        var max, zoomFactor;\n        if (this.resolutions_) {\n            var nearest = linearFindNearest(this.resolutions_, resolution, 1);\n            offset = nearest;\n            max = this.resolutions_[nearest];\n            if (nearest == this.resolutions_.length - 1) {\n                zoomFactor = 2;\n            }\n            else {\n                zoomFactor = max / this.resolutions_[nearest + 1];\n            }\n        }\n        else {\n            max = this.maxResolution_;\n            zoomFactor = this.zoomFactor_;\n        }\n        return offset + Math.log(max / resolution) / Math.log(zoomFactor);\n    };\n    /**\n     * Get the resolution for a zoom level.\n     * @param {number} zoom Zoom level.\n     * @return {number} The view resolution for the provided zoom level.\n     * @api\n     */\n    View.prototype.getResolutionForZoom = function (zoom) {\n        if (this.resolutions_) {\n            if (this.resolutions_.length <= 1) {\n                return 0;\n            }\n            var baseLevel = clamp(Math.floor(zoom), 0, this.resolutions_.length - 2);\n            var zoomFactor = this.resolutions_[baseLevel] / this.resolutions_[baseLevel + 1];\n            return (this.resolutions_[baseLevel] /\n                Math.pow(zoomFactor, clamp(zoom - baseLevel, 0, 1)));\n        }\n        else {\n            return (this.maxResolution_ / Math.pow(this.zoomFactor_, zoom - this.minZoom_));\n        }\n    };\n    /**\n     * Fit the given geometry or extent based on the given map size and border.\n     * The size is pixel dimensions of the box to fit the extent into.\n     * In most cases you will want to use the map size, that is `map.getSize()`.\n     * Takes care of the map angle.\n     * @param {import(\"./geom/SimpleGeometry.js\").default|import(\"./extent.js\").Extent} geometryOrExtent The geometry or\n     *     extent to fit the view to.\n     * @param {FitOptions} [opt_options] Options.\n     * @api\n     */\n    View.prototype.fit = function (geometryOrExtent, opt_options) {\n        /** @type {import(\"./geom/SimpleGeometry.js\").default} */\n        var geometry;\n        assert(Array.isArray(geometryOrExtent) ||\n            typeof ( /** @type {?} */(geometryOrExtent).getSimplifiedGeometry) ===\n                'function', 24); // Invalid extent or geometry provided as `geometry`\n        if (Array.isArray(geometryOrExtent)) {\n            assert(!isEmpty(geometryOrExtent), 25); // Cannot fit empty extent provided as `geometry`\n            var extent = fromUserExtent(geometryOrExtent, this.getProjection());\n            geometry = polygonFromExtent(extent);\n        }\n        else if (geometryOrExtent.getType() === GeometryType.CIRCLE) {\n            var extent = fromUserExtent(geometryOrExtent.getExtent(), this.getProjection());\n            geometry = polygonFromExtent(extent);\n            geometry.rotate(this.getRotation(), getCenter(extent));\n        }\n        else {\n            var userProjection = getUserProjection();\n            if (userProjection) {\n                geometry = /** @type {import(\"./geom/SimpleGeometry.js\").default} */ (geometryOrExtent\n                    .clone()\n                    .transform(userProjection, this.getProjection()));\n            }\n            else {\n                geometry = geometryOrExtent;\n            }\n        }\n        this.fitInternal(geometry, opt_options);\n    };\n    /**\n     * Calculate rotated extent\n     * @param {import(\"./geom/SimpleGeometry.js\").default} geometry The geometry.\n     * @return {import(\"./extent\").Extent} The rotated extent for the geometry.\n     */\n    View.prototype.rotatedExtentForGeometry = function (geometry) {\n        var rotation = this.getRotation();\n        var cosAngle = Math.cos(rotation);\n        var sinAngle = Math.sin(-rotation);\n        var coords = geometry.getFlatCoordinates();\n        var stride = geometry.getStride();\n        var minRotX = +Infinity;\n        var minRotY = +Infinity;\n        var maxRotX = -Infinity;\n        var maxRotY = -Infinity;\n        for (var i = 0, ii = coords.length; i < ii; i += stride) {\n            var rotX = coords[i] * cosAngle - coords[i + 1] * sinAngle;\n            var rotY = coords[i] * sinAngle + coords[i + 1] * cosAngle;\n            minRotX = Math.min(minRotX, rotX);\n            minRotY = Math.min(minRotY, rotY);\n            maxRotX = Math.max(maxRotX, rotX);\n            maxRotY = Math.max(maxRotY, rotY);\n        }\n        return [minRotX, minRotY, maxRotX, maxRotY];\n    };\n    /**\n     * @param {import(\"./geom/SimpleGeometry.js\").default} geometry The geometry.\n     * @param {FitOptions} [opt_options] Options.\n     */\n    View.prototype.fitInternal = function (geometry, opt_options) {\n        var options = opt_options || {};\n        var size = options.size;\n        if (!size) {\n            size = this.getViewportSizeMinusPadding_();\n        }\n        var padding = options.padding !== undefined ? options.padding : [0, 0, 0, 0];\n        var nearest = options.nearest !== undefined ? options.nearest : false;\n        var minResolution;\n        if (options.minResolution !== undefined) {\n            minResolution = options.minResolution;\n        }\n        else if (options.maxZoom !== undefined) {\n            minResolution = this.getResolutionForZoom(options.maxZoom);\n        }\n        else {\n            minResolution = 0;\n        }\n        var rotatedExtent = this.rotatedExtentForGeometry(geometry);\n        // calculate resolution\n        var resolution = this.getResolutionForExtentInternal(rotatedExtent, [\n            size[0] - padding[1] - padding[3],\n            size[1] - padding[0] - padding[2],\n        ]);\n        resolution = isNaN(resolution)\n            ? minResolution\n            : Math.max(resolution, minResolution);\n        resolution = this.getConstrainedResolution(resolution, nearest ? 0 : 1);\n        // calculate center\n        var rotation = this.getRotation();\n        var sinAngle = Math.sin(rotation);\n        var cosAngle = Math.cos(rotation);\n        var centerRot = getCenter(rotatedExtent);\n        centerRot[0] += ((padding[1] - padding[3]) / 2) * resolution;\n        centerRot[1] += ((padding[0] - padding[2]) / 2) * resolution;\n        var centerX = centerRot[0] * cosAngle - centerRot[1] * sinAngle;\n        var centerY = centerRot[1] * cosAngle + centerRot[0] * sinAngle;\n        var center = this.getConstrainedCenter([centerX, centerY], resolution);\n        var callback = options.callback ? options.callback : VOID;\n        if (options.duration !== undefined) {\n            this.animateInternal({\n                resolution: resolution,\n                center: center,\n                duration: options.duration,\n                easing: options.easing,\n            }, callback);\n        }\n        else {\n            this.targetResolution_ = resolution;\n            this.targetCenter_ = center;\n            this.applyTargetState_(false, true);\n            animationCallback(callback, true);\n        }\n    };\n    /**\n     * Center on coordinate and view position.\n     * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"./size.js\").Size} size Box pixel size.\n     * @param {import(\"./pixel.js\").Pixel} position Position on the view to center on.\n     * @api\n     */\n    View.prototype.centerOn = function (coordinate, size, position) {\n        this.centerOnInternal(fromUserCoordinate(coordinate, this.getProjection()), size, position);\n    };\n    /**\n     * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"./size.js\").Size} size Box pixel size.\n     * @param {import(\"./pixel.js\").Pixel} position Position on the view to center on.\n     */\n    View.prototype.centerOnInternal = function (coordinate, size, position) {\n        this.setCenterInternal(calculateCenterOn(coordinate, size, position, this.getResolution(), this.getRotation()));\n    };\n    /**\n     * Calculates the shift between map and viewport center.\n     * @param {import(\"./coordinate.js\").Coordinate} center Center.\n     * @param {number} resolution Resolution.\n     * @param {number} rotation Rotation.\n     * @param {import(\"./size.js\").Size} size Size.\n     * @return {Array<number>|undefined} Center shift.\n     */\n    View.prototype.calculateCenterShift = function (center, resolution, rotation, size) {\n        var centerShift;\n        var padding = this.padding_;\n        if (padding && center) {\n            var reducedSize = this.getViewportSizeMinusPadding_(-rotation);\n            var shiftedCenter = calculateCenterOn(center, size, [reducedSize[0] / 2 + padding[3], reducedSize[1] / 2 + padding[0]], resolution, rotation);\n            centerShift = [\n                center[0] - shiftedCenter[0],\n                center[1] - shiftedCenter[1],\n            ];\n        }\n        return centerShift;\n    };\n    /**\n     * @return {boolean} Is defined.\n     */\n    View.prototype.isDef = function () {\n        return !!this.getCenterInternal() && this.getResolution() !== undefined;\n    };\n    /**\n     * Adds relative coordinates to the center of the view. Any extent constraint will apply.\n     * @param {import(\"./coordinate.js\").Coordinate} deltaCoordinates Relative value to add.\n     * @api\n     */\n    View.prototype.adjustCenter = function (deltaCoordinates) {\n        var center = toUserCoordinate(this.targetCenter_, this.getProjection());\n        this.setCenter([\n            center[0] + deltaCoordinates[0],\n            center[1] + deltaCoordinates[1],\n        ]);\n    };\n    /**\n     * Adds relative coordinates to the center of the view. Any extent constraint will apply.\n     * @param {import(\"./coordinate.js\").Coordinate} deltaCoordinates Relative value to add.\n     */\n    View.prototype.adjustCenterInternal = function (deltaCoordinates) {\n        var center = this.targetCenter_;\n        this.setCenterInternal([\n            center[0] + deltaCoordinates[0],\n            center[1] + deltaCoordinates[1],\n        ]);\n    };\n    /**\n     * Multiply the view resolution by a ratio, optionally using an anchor. Any resolution\n     * constraint will apply.\n     * @param {number} ratio The ratio to apply on the view resolution.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     * @api\n     */\n    View.prototype.adjustResolution = function (ratio, opt_anchor) {\n        var anchor = opt_anchor && fromUserCoordinate(opt_anchor, this.getProjection());\n        this.adjustResolutionInternal(ratio, anchor);\n    };\n    /**\n     * Multiply the view resolution by a ratio, optionally using an anchor. Any resolution\n     * constraint will apply.\n     * @param {number} ratio The ratio to apply on the view resolution.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     */\n    View.prototype.adjustResolutionInternal = function (ratio, opt_anchor) {\n        var isMoving = this.getAnimating() || this.getInteracting();\n        var size = this.getViewportSize_(this.getRotation());\n        var newResolution = this.constraints_.resolution(this.targetResolution_ * ratio, 0, size, isMoving);\n        if (opt_anchor) {\n            this.targetCenter_ = this.calculateCenterZoom(newResolution, opt_anchor);\n        }\n        this.targetResolution_ *= ratio;\n        this.applyTargetState_();\n    };\n    /**\n     * Adds a value to the view zoom level, optionally using an anchor. Any resolution\n     * constraint will apply.\n     * @param {number} delta Relative value to add to the zoom level.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     * @api\n     */\n    View.prototype.adjustZoom = function (delta, opt_anchor) {\n        this.adjustResolution(Math.pow(this.zoomFactor_, -delta), opt_anchor);\n    };\n    /**\n     * Adds a value to the view rotation, optionally using an anchor. Any rotation\n     * constraint will apply.\n     * @param {number} delta Relative value to add to the zoom rotation, in radians.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The rotation center.\n     * @api\n     */\n    View.prototype.adjustRotation = function (delta, opt_anchor) {\n        if (opt_anchor) {\n            opt_anchor = fromUserCoordinate(opt_anchor, this.getProjection());\n        }\n        this.adjustRotationInternal(delta, opt_anchor);\n    };\n    /**\n     * @param {number} delta Relative value to add to the zoom rotation, in radians.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The rotation center.\n     */\n    View.prototype.adjustRotationInternal = function (delta, opt_anchor) {\n        var isMoving = this.getAnimating() || this.getInteracting();\n        var newRotation = this.constraints_.rotation(this.targetRotation_ + delta, isMoving);\n        if (opt_anchor) {\n            this.targetCenter_ = this.calculateCenterRotate(newRotation, opt_anchor);\n        }\n        this.targetRotation_ += delta;\n        this.applyTargetState_();\n    };\n    /**\n     * Set the center of the current view. Any extent constraint will apply.\n     * @param {import(\"./coordinate.js\").Coordinate|undefined} center The center of the view.\n     * @observable\n     * @api\n     */\n    View.prototype.setCenter = function (center) {\n        this.setCenterInternal(fromUserCoordinate(center, this.getProjection()));\n    };\n    /**\n     * Set the center using the view projection (not the user projection).\n     * @param {import(\"./coordinate.js\").Coordinate|undefined} center The center of the view.\n     */\n    View.prototype.setCenterInternal = function (center) {\n        this.targetCenter_ = center;\n        this.applyTargetState_();\n    };\n    /**\n     * @param {import(\"./ViewHint.js\").default} hint Hint.\n     * @param {number} delta Delta.\n     * @return {number} New value.\n     */\n    View.prototype.setHint = function (hint, delta) {\n        this.hints_[hint] += delta;\n        this.changed();\n        return this.hints_[hint];\n    };\n    /**\n     * Set the resolution for this view. Any resolution constraint will apply.\n     * @param {number|undefined} resolution The resolution of the view.\n     * @observable\n     * @api\n     */\n    View.prototype.setResolution = function (resolution) {\n        this.targetResolution_ = resolution;\n        this.applyTargetState_();\n    };\n    /**\n     * Set the rotation for this view. Any rotation constraint will apply.\n     * @param {number} rotation The rotation of the view in radians.\n     * @observable\n     * @api\n     */\n    View.prototype.setRotation = function (rotation) {\n        this.targetRotation_ = rotation;\n        this.applyTargetState_();\n    };\n    /**\n     * Zoom to a specific zoom level. Any resolution constrain will apply.\n     * @param {number} zoom Zoom level.\n     * @api\n     */\n    View.prototype.setZoom = function (zoom) {\n        this.setResolution(this.getResolutionForZoom(zoom));\n    };\n    /**\n     * Recompute rotation/resolution/center based on target values.\n     * Note: we have to compute rotation first, then resolution and center considering that\n     * parameters can influence one another in case a view extent constraint is present.\n     * @param {boolean} [opt_doNotCancelAnims] Do not cancel animations.\n     * @param {boolean} [opt_forceMoving] Apply constraints as if the view is moving.\n     * @private\n     */\n    View.prototype.applyTargetState_ = function (opt_doNotCancelAnims, opt_forceMoving) {\n        var isMoving = this.getAnimating() || this.getInteracting() || opt_forceMoving;\n        // compute rotation\n        var newRotation = this.constraints_.rotation(this.targetRotation_, isMoving);\n        var size = this.getViewportSize_(newRotation);\n        var newResolution = this.constraints_.resolution(this.targetResolution_, 0, size, isMoving);\n        var newCenter = this.constraints_.center(this.targetCenter_, newResolution, size, isMoving, this.calculateCenterShift(this.targetCenter_, newResolution, newRotation, size));\n        if (this.get(ViewProperty.ROTATION) !== newRotation) {\n            this.set(ViewProperty.ROTATION, newRotation);\n        }\n        if (this.get(ViewProperty.RESOLUTION) !== newResolution) {\n            this.set(ViewProperty.RESOLUTION, newResolution);\n            this.set('zoom', this.getZoom(), true);\n        }\n        if (!newCenter ||\n            !this.get(ViewProperty.CENTER) ||\n            !equals(this.get(ViewProperty.CENTER), newCenter)) {\n            this.set(ViewProperty.CENTER, newCenter);\n        }\n        if (this.getAnimating() && !opt_doNotCancelAnims) {\n            this.cancelAnimations();\n        }\n        this.cancelAnchor_ = undefined;\n    };\n    /**\n     * If any constraints need to be applied, an animation will be triggered.\n     * This is typically done on interaction end.\n     * Note: calling this with a duration of 0 will apply the constrained values straight away,\n     * without animation.\n     * @param {number} [opt_duration] The animation duration in ms.\n     * @param {number} [opt_resolutionDirection] Which direction to zoom.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     */\n    View.prototype.resolveConstraints = function (opt_duration, opt_resolutionDirection, opt_anchor) {\n        var duration = opt_duration !== undefined ? opt_duration : 200;\n        var direction = opt_resolutionDirection || 0;\n        var newRotation = this.constraints_.rotation(this.targetRotation_);\n        var size = this.getViewportSize_(newRotation);\n        var newResolution = this.constraints_.resolution(this.targetResolution_, direction, size);\n        var newCenter = this.constraints_.center(this.targetCenter_, newResolution, size, false, this.calculateCenterShift(this.targetCenter_, newResolution, newRotation, size));\n        if (duration === 0 && !this.cancelAnchor_) {\n            this.targetResolution_ = newResolution;\n            this.targetRotation_ = newRotation;\n            this.targetCenter_ = newCenter;\n            this.applyTargetState_();\n            return;\n        }\n        var anchor = opt_anchor || (duration === 0 ? this.cancelAnchor_ : undefined);\n        this.cancelAnchor_ = undefined;\n        if (this.getResolution() !== newResolution ||\n            this.getRotation() !== newRotation ||\n            !this.getCenterInternal() ||\n            !equals(this.getCenterInternal(), newCenter)) {\n            if (this.getAnimating()) {\n                this.cancelAnimations();\n            }\n            this.animateInternal({\n                rotation: newRotation,\n                center: newCenter,\n                resolution: newResolution,\n                duration: duration,\n                easing: easeOut,\n                anchor: anchor,\n            });\n        }\n    };\n    /**\n     * Notify the View that an interaction has started.\n     * The view state will be resolved to a stable one if needed\n     * (depending on its constraints).\n     * @api\n     */\n    View.prototype.beginInteraction = function () {\n        this.resolveConstraints(0);\n        this.setHint(ViewHint.INTERACTING, 1);\n    };\n    /**\n     * Notify the View that an interaction has ended. The view state will be resolved\n     * to a stable one if needed (depending on its constraints).\n     * @param {number} [opt_duration] Animation duration in ms.\n     * @param {number} [opt_resolutionDirection] Which direction to zoom.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     * @api\n     */\n    View.prototype.endInteraction = function (opt_duration, opt_resolutionDirection, opt_anchor) {\n        var anchor = opt_anchor && fromUserCoordinate(opt_anchor, this.getProjection());\n        this.endInteractionInternal(opt_duration, opt_resolutionDirection, anchor);\n    };\n    /**\n     * Notify the View that an interaction has ended. The view state will be resolved\n     * to a stable one if needed (depending on its constraints).\n     * @param {number} [opt_duration] Animation duration in ms.\n     * @param {number} [opt_resolutionDirection] Which direction to zoom.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     */\n    View.prototype.endInteractionInternal = function (opt_duration, opt_resolutionDirection, opt_anchor) {\n        this.setHint(ViewHint.INTERACTING, -1);\n        this.resolveConstraints(opt_duration, opt_resolutionDirection, opt_anchor);\n    };\n    /**\n     * Get a valid position for the view center according to the current constraints.\n     * @param {import(\"./coordinate.js\").Coordinate|undefined} targetCenter Target center position.\n     * @param {number} [opt_targetResolution] Target resolution. If not supplied, the current one will be used.\n     * This is useful to guess a valid center position at a different zoom level.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} Valid center position.\n     */\n    View.prototype.getConstrainedCenter = function (targetCenter, opt_targetResolution) {\n        var size = this.getViewportSize_(this.getRotation());\n        return this.constraints_.center(targetCenter, opt_targetResolution || this.getResolution(), size);\n    };\n    /**\n     * Get a valid zoom level according to the current view constraints.\n     * @param {number|undefined} targetZoom Target zoom.\n     * @param {number} [opt_direction=0] Indicate which resolution should be used\n     * by a renderer if the view resolution does not match any resolution of the tile source.\n     * If 0, the nearest resolution will be used. If 1, the nearest lower resolution\n     * will be used. If -1, the nearest higher resolution will be used.\n     * @return {number|undefined} Valid zoom level.\n     */\n    View.prototype.getConstrainedZoom = function (targetZoom, opt_direction) {\n        var targetRes = this.getResolutionForZoom(targetZoom);\n        return this.getZoomForResolution(this.getConstrainedResolution(targetRes, opt_direction));\n    };\n    /**\n     * Get a valid resolution according to the current view constraints.\n     * @param {number|undefined} targetResolution Target resolution.\n     * @param {number} [opt_direction=0] Indicate which resolution should be used\n     * by a renderer if the view resolution does not match any resolution of the tile source.\n     * If 0, the nearest resolution will be used. If 1, the nearest lower resolution\n     * will be used. If -1, the nearest higher resolution will be used.\n     * @return {number|undefined} Valid resolution.\n     */\n    View.prototype.getConstrainedResolution = function (targetResolution, opt_direction) {\n        var direction = opt_direction || 0;\n        var size = this.getViewportSize_(this.getRotation());\n        return this.constraints_.resolution(targetResolution, direction, size);\n    };\n    return View;\n}(BaseObject));\n/**\n * @param {Function} callback Callback.\n * @param {*} returnValue Return value.\n */\nfunction animationCallback(callback, returnValue) {\n    setTimeout(function () {\n        callback(returnValue);\n    }, 0);\n}\n/**\n * @param {ViewOptions} options View options.\n * @return {import(\"./centerconstraint.js\").Type} The constraint.\n */\nexport function createCenterConstraint(options) {\n    if (options.extent !== undefined) {\n        var smooth = options.smoothExtentConstraint !== undefined\n            ? options.smoothExtentConstraint\n            : true;\n        return createExtent(options.extent, options.constrainOnlyCenter, smooth);\n    }\n    var projection = createProjection(options.projection, 'EPSG:3857');\n    if (options.multiWorld !== true && projection.isGlobal()) {\n        var extent = projection.getExtent().slice();\n        extent[0] = -Infinity;\n        extent[2] = Infinity;\n        return createExtent(extent, false, false);\n    }\n    return centerNone;\n}\n/**\n * @param {ViewOptions} options View options.\n * @return {{constraint: import(\"./resolutionconstraint.js\").Type, maxResolution: number,\n *     minResolution: number, minZoom: number, zoomFactor: number}} The constraint.\n */\nexport function createResolutionConstraint(options) {\n    var resolutionConstraint;\n    var maxResolution;\n    var minResolution;\n    // TODO: move these to be ol constants\n    // see https://github.com/openlayers/openlayers/issues/2076\n    var defaultMaxZoom = 28;\n    var defaultZoomFactor = 2;\n    var minZoom = options.minZoom !== undefined ? options.minZoom : DEFAULT_MIN_ZOOM;\n    var maxZoom = options.maxZoom !== undefined ? options.maxZoom : defaultMaxZoom;\n    var zoomFactor = options.zoomFactor !== undefined ? options.zoomFactor : defaultZoomFactor;\n    var multiWorld = options.multiWorld !== undefined ? options.multiWorld : false;\n    var smooth = options.smoothResolutionConstraint !== undefined\n        ? options.smoothResolutionConstraint\n        : true;\n    var showFullExtent = options.showFullExtent !== undefined ? options.showFullExtent : false;\n    var projection = createProjection(options.projection, 'EPSG:3857');\n    var projExtent = projection.getExtent();\n    var constrainOnlyCenter = options.constrainOnlyCenter;\n    var extent = options.extent;\n    if (!multiWorld && !extent && projection.isGlobal()) {\n        constrainOnlyCenter = false;\n        extent = projExtent;\n    }\n    if (options.resolutions !== undefined) {\n        var resolutions = options.resolutions;\n        maxResolution = resolutions[minZoom];\n        minResolution =\n            resolutions[maxZoom] !== undefined\n                ? resolutions[maxZoom]\n                : resolutions[resolutions.length - 1];\n        if (options.constrainResolution) {\n            resolutionConstraint = createSnapToResolutions(resolutions, smooth, !constrainOnlyCenter && extent, showFullExtent);\n        }\n        else {\n            resolutionConstraint = createMinMaxResolution(maxResolution, minResolution, smooth, !constrainOnlyCenter && extent, showFullExtent);\n        }\n    }\n    else {\n        // calculate the default min and max resolution\n        var size = !projExtent\n            ? // use an extent that can fit the whole world if need be\n                (360 * METERS_PER_UNIT[Units.DEGREES]) / projection.getMetersPerUnit()\n            : Math.max(getWidth(projExtent), getHeight(projExtent));\n        var defaultMaxResolution = size / DEFAULT_TILE_SIZE / Math.pow(defaultZoomFactor, DEFAULT_MIN_ZOOM);\n        var defaultMinResolution = defaultMaxResolution /\n            Math.pow(defaultZoomFactor, defaultMaxZoom - DEFAULT_MIN_ZOOM);\n        // user provided maxResolution takes precedence\n        maxResolution = options.maxResolution;\n        if (maxResolution !== undefined) {\n            minZoom = 0;\n        }\n        else {\n            maxResolution = defaultMaxResolution / Math.pow(zoomFactor, minZoom);\n        }\n        // user provided minResolution takes precedence\n        minResolution = options.minResolution;\n        if (minResolution === undefined) {\n            if (options.maxZoom !== undefined) {\n                if (options.maxResolution !== undefined) {\n                    minResolution = maxResolution / Math.pow(zoomFactor, maxZoom);\n                }\n                else {\n                    minResolution = defaultMaxResolution / Math.pow(zoomFactor, maxZoom);\n                }\n            }\n            else {\n                minResolution = defaultMinResolution;\n            }\n        }\n        // given discrete zoom levels, minResolution may be different than provided\n        maxZoom =\n            minZoom +\n                Math.floor(Math.log(maxResolution / minResolution) / Math.log(zoomFactor));\n        minResolution = maxResolution / Math.pow(zoomFactor, maxZoom - minZoom);\n        if (options.constrainResolution) {\n            resolutionConstraint = createSnapToPower(zoomFactor, maxResolution, minResolution, smooth, !constrainOnlyCenter && extent, showFullExtent);\n        }\n        else {\n            resolutionConstraint = createMinMaxResolution(maxResolution, minResolution, smooth, !constrainOnlyCenter && extent, showFullExtent);\n        }\n    }\n    return {\n        constraint: resolutionConstraint,\n        maxResolution: maxResolution,\n        minResolution: minResolution,\n        minZoom: minZoom,\n        zoomFactor: zoomFactor,\n    };\n}\n/**\n * @param {ViewOptions} options View options.\n * @return {import(\"./rotationconstraint.js\").Type} Rotation constraint.\n */\nexport function createRotationConstraint(options) {\n    var enableRotation = options.enableRotation !== undefined ? options.enableRotation : true;\n    if (enableRotation) {\n        var constrainRotation = options.constrainRotation;\n        if (constrainRotation === undefined || constrainRotation === true) {\n            return createSnapToZero();\n        }\n        else if (constrainRotation === false) {\n            return rotationNone;\n        }\n        else if (typeof constrainRotation === 'number') {\n            return createSnapToN(constrainRotation);\n        }\n        else {\n            return rotationNone;\n        }\n    }\n    else {\n        return disable;\n    }\n}\n/**\n * Determine if an animation involves no view change.\n * @param {Animation} animation The animation.\n * @return {boolean} The animation involves no view change.\n */\nexport function isNoopAnimation(animation) {\n    if (animation.sourceCenter && animation.targetCenter) {\n        if (!coordinatesEqual(animation.sourceCenter, animation.targetCenter)) {\n            return false;\n        }\n    }\n    if (animation.sourceResolution !== animation.targetResolution) {\n        return false;\n    }\n    if (animation.sourceRotation !== animation.targetRotation) {\n        return false;\n    }\n    return true;\n}\n/**\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n * @param {import(\"./size.js\").Size} size Box pixel size.\n * @param {import(\"./pixel.js\").Pixel} position Position on the view to center on.\n * @param {number} resolution Resolution.\n * @param {number} rotation Rotation.\n * @return {import(\"./coordinate.js\").Coordinate} Shifted center.\n */\nfunction calculateCenterOn(coordinate, size, position, resolution, rotation) {\n    // calculate rotated position\n    var cosAngle = Math.cos(-rotation);\n    var sinAngle = Math.sin(-rotation);\n    var rotX = coordinate[0] * cosAngle - coordinate[1] * sinAngle;\n    var rotY = coordinate[1] * cosAngle + coordinate[0] * sinAngle;\n    rotX += (size[0] / 2 - position[0]) * resolution;\n    rotY += (position[1] - size[1] / 2) * resolution;\n    // go back to original angle\n    sinAngle = -sinAngle; // go back to original rotation\n    var centerX = rotX * cosAngle - rotY * sinAngle;\n    var centerY = rotY * cosAngle + rotX * sinAngle;\n    return [centerX, centerY];\n}\nexport default View;\n//# sourceMappingURL=View.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/PluggableMap\n */\nimport BaseObject from './Object.js';\nimport Collection from './Collection.js';\nimport CollectionEventType from './CollectionEventType.js';\nimport EventType from './events/EventType.js';\nimport Layer from './layer/Layer.js';\nimport LayerGroup, { GroupEvent } from './layer/Group.js';\nimport MapBrowserEvent from './MapBrowserEvent.js';\nimport MapBrowserEventHandler from './MapBrowserEventHandler.js';\nimport MapBrowserEventType from './MapBrowserEventType.js';\nimport MapEvent from './MapEvent.js';\nimport MapEventType from './MapEventType.js';\nimport MapProperty from './MapProperty.js';\nimport ObjectEventType from './ObjectEventType.js';\nimport PointerEventType from './pointer/EventType.js';\nimport RenderEventType from './render/EventType.js';\nimport TileQueue, { getTilePriority } from './TileQueue.js';\nimport View from './View.js';\nimport ViewHint from './ViewHint.js';\nimport { DEVICE_PIXEL_RATIO, PASSIVE_EVENT_LISTENERS } from './has.js';\nimport { TRUE } from './functions.js';\nimport { apply as applyTransform, create as createTransform, } from './transform.js';\nimport { assert } from './asserts.js';\nimport { clone, createOrUpdateEmpty, equals, getForViewAndSize, isEmpty, } from './extent.js';\nimport { fromUserCoordinate, toUserCoordinate } from './proj.js';\nimport { getUid } from './util.js';\nimport { hasArea } from './size.js';\nimport { listen, unlistenByKey } from './events.js';\nimport { removeNode } from './dom.js';\n/**\n * State of the current frame. Only `pixelRatio`, `time` and `viewState` should\n * be used in applications.\n * @typedef {Object} FrameState\n * @property {number} pixelRatio The pixel ratio of the frame.\n * @property {number} time The time when rendering of the frame was requested.\n * @property {import(\"./View.js\").State} viewState The state of the current view.\n * @property {boolean} animate Animate.\n * @property {import(\"./transform.js\").Transform} coordinateToPixelTransform CoordinateToPixelTransform.\n * @property {import(\"rbush\").default} declutterTree DeclutterTree.\n * @property {null|import(\"./extent.js\").Extent} extent Extent.\n * @property {import(\"./extent.js\").Extent} [nextExtent] Next extent during an animation series.\n * @property {number} index Index.\n * @property {Array<import(\"./layer/Layer.js\").State>} layerStatesArray LayerStatesArray.\n * @property {number} layerIndex LayerIndex.\n * @property {import(\"./transform.js\").Transform} pixelToCoordinateTransform PixelToCoordinateTransform.\n * @property {Array<PostRenderFunction>} postRenderFunctions PostRenderFunctions.\n * @property {import(\"./size.js\").Size} size Size.\n * @property {TileQueue} tileQueue TileQueue.\n * @property {!Object<string, Object<string, boolean>>} usedTiles UsedTiles.\n * @property {Array<number>} viewHints ViewHints.\n * @property {!Object<string, Object<string, boolean>>} wantedTiles WantedTiles.\n * @property {string} mapId The id of the map.\n * @property {Object<string, boolean>} renderTargets Identifiers of previously rendered elements.\n */\n/**\n * @typedef {function(PluggableMap, ?FrameState): any} PostRenderFunction\n */\n/**\n * @typedef {Object} AtPixelOptions\n * @property {undefined|function(import(\"./layer/Layer.js\").default<import(\"./source/Source\").default>): boolean} [layerFilter] Layer filter\n * function. The filter function will receive one argument, the\n * {@link module:ol/layer/Layer layer-candidate} and it should return a boolean value.\n * Only layers which are visible and for which this function returns `true`\n * will be tested for features. By default, all visible layers will be tested.\n * @property {number} [hitTolerance=0] Hit-detection tolerance in css pixels. Pixels\n * inside the radius around the given position will be checked for features.\n * @property {boolean} [checkWrapped=true] Check-Wrapped Will check for for wrapped geometries inside the range of\n *   +/- 1 world width. Works only if a projection is used that can be wrapped.\n */\n/**\n * @typedef {Object} MapOptionsInternal\n * @property {Collection<import(\"./control/Control.js\").default>} [controls] Controls.\n * @property {Collection<import(\"./interaction/Interaction.js\").default>} [interactions] Interactions.\n * @property {HTMLElement|Document} keyboardEventTarget KeyboardEventTarget.\n * @property {Collection<import(\"./Overlay.js\").default>} overlays Overlays.\n * @property {Object<string, *>} values Values.\n */\n/**\n * @typedef {import(\"./ObjectEventType\").Types|'change:layergroup'|'change:size'|'change:target'|'change:view'} MapObjectEventTypes\n */\n/***\n * @template Return\n * @typedef {import(\"./Observable\").OnSignature<import(\"./Observable\").EventTypes, import(\"./events/Event.js\").default, Return> &\n *    import(\"./Observable\").OnSignature<MapObjectEventTypes, import(\"./Object\").ObjectEvent, Return> &\n *    import(\"./Observable\").OnSignature<import(\"./MapBrowserEventType\").Types, import(\"./MapBrowserEvent\").default, Return> &\n *    import(\"./Observable\").OnSignature<import(\"./MapEventType\").Types, import(\"./MapEvent\").default, Return> &\n *    import(\"./Observable\").OnSignature<import(\"./render/EventType\").MapRenderEventTypes, import(\"./render/Event\").default, Return> &\n *    import(\"./Observable\").CombinedOnSignature<import(\"./Observable\").EventTypes|MapObjectEventTypes|\n *      import(\"./MapBrowserEventType\").Types|import(\"./MapEventType\").Types|\n *      import(\"./render/EventType\").MapRenderEventTypes, Return>} PluggableMapOnSignature\n */\n/**\n * Object literal with config options for the map.\n * @typedef {Object} MapOptions\n * @property {Collection<import(\"./control/Control.js\").default>|Array<import(\"./control/Control.js\").default>} [controls]\n * Controls initially added to the map. If not specified,\n * {@link module:ol/control.defaults} is used.\n * @property {number} [pixelRatio=window.devicePixelRatio] The ratio between\n * physical pixels and device-independent pixels (dips) on the device.\n * @property {Collection<import(\"./interaction/Interaction.js\").default>|Array<import(\"./interaction/Interaction.js\").default>} [interactions]\n * Interactions that are initially added to the map. If not specified,\n * {@link module:ol/interaction.defaults} is used.\n * @property {HTMLElement|Document|string} [keyboardEventTarget] The element to\n * listen to keyboard events on. This determines when the `KeyboardPan` and\n * `KeyboardZoom` interactions trigger. For example, if this option is set to\n * `document` the keyboard interactions will always trigger. If this option is\n * not specified, the element the library listens to keyboard events on is the\n * map target (i.e. the user-provided div for the map). If this is not\n * `document`, the target element needs to be focused for key events to be\n * emitted, requiring that the target element has a `tabindex` attribute.\n * @property {Array<import(\"./layer/Base.js\").default>|Collection<import(\"./layer/Base.js\").default>|LayerGroup} [layers]\n * Layers. If this is not defined, a map with no layers will be rendered. Note\n * that layers are rendered in the order supplied, so if you want, for example,\n * a vector layer to appear on top of a tile layer, it must come after the tile\n * layer.\n * @property {number} [maxTilesLoading=16] Maximum number tiles to load\n * simultaneously.\n * @property {number} [moveTolerance=1] The minimum distance in pixels the\n * cursor must move to be detected as a map move event instead of a click.\n * Increasing this value can make it easier to click on the map.\n * @property {Collection<import(\"./Overlay.js\").default>|Array<import(\"./Overlay.js\").default>} [overlays]\n * Overlays initially added to the map. By default, no overlays are added.\n * @property {HTMLElement|string} [target] The container for the map, either the\n * element itself or the `id` of the element. If not specified at construction\n * time, {@link module:ol/Map~Map#setTarget} must be called for the map to be\n * rendered. If passed by element, the container can be in a secondary document.\n * @property {View|Promise<import(\"./View.js\").ViewOptions>} [view] The map's view.  No layer sources will be\n * fetched unless this is specified at construction time or through\n * {@link module:ol/Map~Map#setView}.\n */\n/**\n * @param {import(\"./layer/Base.js\").default} layer Layer.\n */\nfunction removeLayerMapProperty(layer) {\n    if (layer instanceof Layer) {\n        layer.setMapInternal(null);\n        return;\n    }\n    if (layer instanceof LayerGroup) {\n        layer.getLayers().forEach(removeLayerMapProperty);\n    }\n}\n/**\n * @param {import(\"./layer/Base.js\").default} layer Layer.\n * @param {PluggableMap} map Map.\n */\nfunction setLayerMapProperty(layer, map) {\n    if (layer instanceof Layer) {\n        layer.setMapInternal(map);\n        return;\n    }\n    if (layer instanceof LayerGroup) {\n        var layers = layer.getLayers().getArray();\n        for (var i = 0, ii = layers.length; i < ii; ++i) {\n            setLayerMapProperty(layers[i], map);\n        }\n    }\n}\n/**\n * @fires import(\"./MapBrowserEvent.js\").MapBrowserEvent\n * @fires import(\"./MapEvent.js\").MapEvent\n * @fires import(\"./render/Event.js\").default#precompose\n * @fires import(\"./render/Event.js\").default#postcompose\n * @fires import(\"./render/Event.js\").default#rendercomplete\n * @api\n */\nvar PluggableMap = /** @class */ (function (_super) {\n    __extends(PluggableMap, _super);\n    /**\n     * @param {MapOptions} options Map options.\n     */\n    function PluggableMap(options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {PluggableMapOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {PluggableMapOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {PluggableMapOnSignature<void>}\n         */\n        _this.un;\n        var optionsInternal = createOptionsInternal(options);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderComplete_;\n        /** @private */\n        _this.boundHandleBrowserEvent_ = _this.handleBrowserEvent.bind(_this);\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.maxTilesLoading_ =\n            options.maxTilesLoading !== undefined ? options.maxTilesLoading : 16;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.pixelRatio_ =\n            options.pixelRatio !== undefined\n                ? options.pixelRatio\n                : DEVICE_PIXEL_RATIO;\n        /**\n         * @private\n         * @type {*}\n         */\n        _this.postRenderTimeoutHandle_;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.animationDelayKey_;\n        /**\n         * @private\n         */\n        _this.animationDelay_ = /** @this {PluggableMap} */ function () {\n            this.animationDelayKey_ = undefined;\n            this.renderFrame_(Date.now());\n        }.bind(_this);\n        /**\n         * @private\n         * @type {import(\"./transform.js\").Transform}\n         */\n        _this.coordinateToPixelTransform_ = createTransform();\n        /**\n         * @private\n         * @type {import(\"./transform.js\").Transform}\n         */\n        _this.pixelToCoordinateTransform_ = createTransform();\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.frameIndex_ = 0;\n        /**\n         * @private\n         * @type {?FrameState}\n         */\n        _this.frameState_ = null;\n        /**\n         * The extent at the previous 'moveend' event.\n         * @private\n         * @type {import(\"./extent.js\").Extent}\n         */\n        _this.previousExtent_ = null;\n        /**\n         * @private\n         * @type {?import(\"./events.js\").EventsKey}\n         */\n        _this.viewPropertyListenerKey_ = null;\n        /**\n         * @private\n         * @type {?import(\"./events.js\").EventsKey}\n         */\n        _this.viewChangeListenerKey_ = null;\n        /**\n         * @private\n         * @type {?Array<import(\"./events.js\").EventsKey>}\n         */\n        _this.layerGroupPropertyListenerKeys_ = null;\n        /**\n         * @private\n         * @type {!HTMLElement}\n         */\n        _this.viewport_ = document.createElement('div');\n        _this.viewport_.className =\n            'ol-viewport' + ('ontouchstart' in window ? ' ol-touch' : '');\n        _this.viewport_.style.position = 'relative';\n        _this.viewport_.style.overflow = 'hidden';\n        _this.viewport_.style.width = '100%';\n        _this.viewport_.style.height = '100%';\n        /**\n         * @private\n         * @type {!HTMLElement}\n         */\n        _this.overlayContainer_ = document.createElement('div');\n        _this.overlayContainer_.style.position = 'absolute';\n        _this.overlayContainer_.style.zIndex = '0';\n        _this.overlayContainer_.style.width = '100%';\n        _this.overlayContainer_.style.height = '100%';\n        _this.overlayContainer_.style.pointerEvents = 'none';\n        _this.overlayContainer_.className = 'ol-overlaycontainer';\n        _this.viewport_.appendChild(_this.overlayContainer_);\n        /**\n         * @private\n         * @type {!HTMLElement}\n         */\n        _this.overlayContainerStopEvent_ = document.createElement('div');\n        _this.overlayContainerStopEvent_.style.position = 'absolute';\n        _this.overlayContainerStopEvent_.style.zIndex = '0';\n        _this.overlayContainerStopEvent_.style.width = '100%';\n        _this.overlayContainerStopEvent_.style.height = '100%';\n        _this.overlayContainerStopEvent_.style.pointerEvents = 'none';\n        _this.overlayContainerStopEvent_.className = 'ol-overlaycontainer-stopevent';\n        _this.viewport_.appendChild(_this.overlayContainerStopEvent_);\n        /**\n         * @private\n         * @type {MapBrowserEventHandler}\n         */\n        _this.mapBrowserEventHandler_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.moveTolerance_ = options.moveTolerance;\n        /**\n         * @private\n         * @type {HTMLElement|Document}\n         */\n        _this.keyboardEventTarget_ = optionsInternal.keyboardEventTarget;\n        /**\n         * @private\n         * @type {?Array<import(\"./events.js\").EventsKey>}\n         */\n        _this.targetChangeHandlerKeys_ = null;\n        /**\n         * @type {Collection<import(\"./control/Control.js\").default>}\n         * @protected\n         */\n        _this.controls = optionsInternal.controls || new Collection();\n        /**\n         * @type {Collection<import(\"./interaction/Interaction.js\").default>}\n         * @protected\n         */\n        _this.interactions = optionsInternal.interactions || new Collection();\n        /**\n         * @type {Collection<import(\"./Overlay.js\").default>}\n         * @private\n         */\n        _this.overlays_ = optionsInternal.overlays;\n        /**\n         * A lookup of overlays by id.\n         * @private\n         * @type {Object<string, import(\"./Overlay.js\").default>}\n         */\n        _this.overlayIdIndex_ = {};\n        /**\n         * @type {import(\"./renderer/Map.js\").default}\n         * @private\n         */\n        _this.renderer_ = null;\n        /**\n         * @private\n         * @type {!Array<PostRenderFunction>}\n         */\n        _this.postRenderFunctions_ = [];\n        /**\n         * @private\n         * @type {TileQueue}\n         */\n        _this.tileQueue_ = new TileQueue(_this.getTilePriority.bind(_this), _this.handleTileChange_.bind(_this));\n        _this.addChangeListener(MapProperty.LAYERGROUP, _this.handleLayerGroupChanged_);\n        _this.addChangeListener(MapProperty.VIEW, _this.handleViewChanged_);\n        _this.addChangeListener(MapProperty.SIZE, _this.handleSizeChanged_);\n        _this.addChangeListener(MapProperty.TARGET, _this.handleTargetChanged_);\n        // setProperties will trigger the rendering of the map if the map\n        // is \"defined\" already.\n        _this.setProperties(optionsInternal.values);\n        var map = _this;\n        if (options.view && !(options.view instanceof View)) {\n            options.view.then(function (viewOptions) {\n                map.setView(new View(viewOptions));\n            });\n        }\n        _this.controls.addEventListener(CollectionEventType.ADD, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            event.element.setMap(this);\n        }.bind(_this));\n        _this.controls.addEventListener(CollectionEventType.REMOVE, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            event.element.setMap(null);\n        }.bind(_this));\n        _this.interactions.addEventListener(CollectionEventType.ADD, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            event.element.setMap(this);\n        }.bind(_this));\n        _this.interactions.addEventListener(CollectionEventType.REMOVE, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            event.element.setMap(null);\n        }.bind(_this));\n        _this.overlays_.addEventListener(CollectionEventType.ADD, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            this.addOverlayInternal_(\n            /** @type {import(\"./Overlay.js\").default} */ (event.element));\n        }.bind(_this));\n        _this.overlays_.addEventListener(CollectionEventType.REMOVE, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            var overlay = /** @type {import(\"./Overlay.js\").default} */ (event.element);\n            var id = overlay.getId();\n            if (id !== undefined) {\n                delete this.overlayIdIndex_[id.toString()];\n            }\n            event.element.setMap(null);\n        }.bind(_this));\n        _this.controls.forEach(\n        /**\n         * @param {import(\"./control/Control.js\").default} control Control.\n         * @this {PluggableMap}\n         */\n        function (control) {\n            control.setMap(this);\n        }.bind(_this));\n        _this.interactions.forEach(\n        /**\n         * @param {import(\"./interaction/Interaction.js\").default} interaction Interaction.\n         * @this {PluggableMap}\n         */\n        function (interaction) {\n            interaction.setMap(this);\n        }.bind(_this));\n        _this.overlays_.forEach(_this.addOverlayInternal_.bind(_this));\n        return _this;\n    }\n    /**\n     * @abstract\n     * @return {import(\"./renderer/Map.js\").default} The map renderer\n     */\n    PluggableMap.prototype.createRenderer = function () {\n        throw new Error('Use a map type that has a createRenderer method');\n    };\n    /**\n     * Add the given control to the map.\n     * @param {import(\"./control/Control.js\").default} control Control.\n     * @api\n     */\n    PluggableMap.prototype.addControl = function (control) {\n        this.getControls().push(control);\n    };\n    /**\n     * Add the given interaction to the map. If you want to add an interaction\n     * at another point of the collection use `getInteraction()` and the methods\n     * available on {@link module:ol/Collection~Collection}. This can be used to\n     * stop the event propagation from the handleEvent function. The interactions\n     * get to handle the events in the reverse order of this collection.\n     * @param {import(\"./interaction/Interaction.js\").default} interaction Interaction to add.\n     * @api\n     */\n    PluggableMap.prototype.addInteraction = function (interaction) {\n        this.getInteractions().push(interaction);\n    };\n    /**\n     * Adds the given layer to the top of this map. If you want to add a layer\n     * elsewhere in the stack, use `getLayers()` and the methods available on\n     * {@link module:ol/Collection~Collection}.\n     * @param {import(\"./layer/Base.js\").default} layer Layer.\n     * @api\n     */\n    PluggableMap.prototype.addLayer = function (layer) {\n        var layers = this.getLayerGroup().getLayers();\n        layers.push(layer);\n    };\n    /**\n     * @param {import(\"./layer/Group.js\").GroupEvent} event The layer add event.\n     * @private\n     */\n    PluggableMap.prototype.handleLayerAdd_ = function (event) {\n        setLayerMapProperty(event.layer, this);\n    };\n    /**\n     * Add the given overlay to the map.\n     * @param {import(\"./Overlay.js\").default} overlay Overlay.\n     * @api\n     */\n    PluggableMap.prototype.addOverlay = function (overlay) {\n        this.getOverlays().push(overlay);\n    };\n    /**\n     * This deals with map's overlay collection changes.\n     * @param {import(\"./Overlay.js\").default} overlay Overlay.\n     * @private\n     */\n    PluggableMap.prototype.addOverlayInternal_ = function (overlay) {\n        var id = overlay.getId();\n        if (id !== undefined) {\n            this.overlayIdIndex_[id.toString()] = overlay;\n        }\n        overlay.setMap(this);\n    };\n    /**\n     *\n     * Clean up.\n     */\n    PluggableMap.prototype.disposeInternal = function () {\n        this.setTarget(null);\n        _super.prototype.disposeInternal.call(this);\n    };\n    /**\n     * Detect features that intersect a pixel on the viewport, and execute a\n     * callback with each intersecting feature. Layers included in the detection can\n     * be configured through the `layerFilter` option in `opt_options`.\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel.\n     * @param {function(import(\"./Feature.js\").FeatureLike, import(\"./layer/Layer.js\").default<import(\"./source/Source\").default>, import(\"./geom/SimpleGeometry.js\").default): T} callback Feature callback. The callback will be\n     *     called with two arguments. The first argument is one\n     *     {@link module:ol/Feature feature} or\n     *     {@link module:ol/render/Feature render feature} at the pixel, the second is\n     *     the {@link module:ol/layer/Layer layer} of the feature and will be null for\n     *     unmanaged layers. To stop detection, callback functions can return a\n     *     truthy value.\n     * @param {AtPixelOptions} [opt_options] Optional options.\n     * @return {T|undefined} Callback result, i.e. the return value of last\n     * callback execution, or the first truthy callback return value.\n     * @template T\n     * @api\n     */\n    PluggableMap.prototype.forEachFeatureAtPixel = function (pixel, callback, opt_options) {\n        if (!this.frameState_) {\n            return;\n        }\n        var coordinate = this.getCoordinateFromPixelInternal(pixel);\n        opt_options = opt_options !== undefined ? opt_options : {};\n        var hitTolerance = opt_options.hitTolerance !== undefined ? opt_options.hitTolerance : 0;\n        var layerFilter = opt_options.layerFilter !== undefined ? opt_options.layerFilter : TRUE;\n        var checkWrapped = opt_options.checkWrapped !== false;\n        return this.renderer_.forEachFeatureAtCoordinate(coordinate, this.frameState_, hitTolerance, checkWrapped, callback, null, layerFilter, null);\n    };\n    /**\n     * Get all features that intersect a pixel on the viewport.\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel.\n     * @param {AtPixelOptions} [opt_options] Optional options.\n     * @return {Array<import(\"./Feature.js\").FeatureLike>} The detected features or\n     * an empty array if none were found.\n     * @api\n     */\n    PluggableMap.prototype.getFeaturesAtPixel = function (pixel, opt_options) {\n        var features = [];\n        this.forEachFeatureAtPixel(pixel, function (feature) {\n            features.push(feature);\n        }, opt_options);\n        return features;\n    };\n    /**\n     * Get all layers from all layer groups.\n     * @return {Array<import(\"./layer/Layer.js\").default>} Layers.\n     */\n    PluggableMap.prototype.getAllLayers = function () {\n        var layers = [];\n        function addLayersFrom(layerGroup) {\n            layerGroup.forEach(function (layer) {\n                if (layer instanceof LayerGroup) {\n                    addLayersFrom(layer.getLayers());\n                }\n                else {\n                    layers.push(layer);\n                }\n            });\n        }\n        addLayersFrom(this.getLayers());\n        return layers;\n    };\n    /**\n     * Detect layers that have a color value at a pixel on the viewport, and\n     * execute a callback with each matching layer. Layers included in the\n     * detection can be configured through `opt_layerFilter`.\n     *\n     * Note: this may give false positives unless the map layers have had different `className`\n     * properties assigned to them.\n     *\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel.\n     * @param {function(this: S, import(\"./layer/Layer.js\").default, (Uint8ClampedArray|Uint8Array)): T} callback\n     *     Layer callback. This callback will receive two arguments: first is the\n     *     {@link module:ol/layer/Layer layer}, second argument is an array representing\n     *     [R, G, B, A] pixel values (0 - 255) and will be `null` for layer types\n     *     that do not currently support this argument. To stop detection, callback\n     *     functions can return a truthy value.\n     * @param {AtPixelOptions} [opt_options] Configuration options.\n     * @return {T|undefined} Callback result, i.e. the return value of last\n     * callback execution, or the first truthy callback return value.\n     * @template S,T\n     * @api\n     */\n    PluggableMap.prototype.forEachLayerAtPixel = function (pixel, callback, opt_options) {\n        if (!this.frameState_) {\n            return;\n        }\n        var options = opt_options || {};\n        var hitTolerance = options.hitTolerance !== undefined ? options.hitTolerance : 0;\n        var layerFilter = options.layerFilter || TRUE;\n        return this.renderer_.forEachLayerAtPixel(pixel, this.frameState_, hitTolerance, callback, layerFilter);\n    };\n    /**\n     * Detect if features intersect a pixel on the viewport. Layers included in the\n     * detection can be configured through `opt_layerFilter`.\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel.\n     * @param {AtPixelOptions} [opt_options] Optional options.\n     * @return {boolean} Is there a feature at the given pixel?\n     * @api\n     */\n    PluggableMap.prototype.hasFeatureAtPixel = function (pixel, opt_options) {\n        if (!this.frameState_) {\n            return false;\n        }\n        var coordinate = this.getCoordinateFromPixelInternal(pixel);\n        opt_options = opt_options !== undefined ? opt_options : {};\n        var layerFilter = opt_options.layerFilter !== undefined ? opt_options.layerFilter : TRUE;\n        var hitTolerance = opt_options.hitTolerance !== undefined ? opt_options.hitTolerance : 0;\n        var checkWrapped = opt_options.checkWrapped !== false;\n        return this.renderer_.hasFeatureAtCoordinate(coordinate, this.frameState_, hitTolerance, checkWrapped, layerFilter, null);\n    };\n    /**\n     * Returns the coordinate in user projection for a browser event.\n     * @param {MouseEvent} event Event.\n     * @return {import(\"./coordinate.js\").Coordinate} Coordinate.\n     * @api\n     */\n    PluggableMap.prototype.getEventCoordinate = function (event) {\n        return this.getCoordinateFromPixel(this.getEventPixel(event));\n    };\n    /**\n     * Returns the coordinate in view projection for a browser event.\n     * @param {MouseEvent} event Event.\n     * @return {import(\"./coordinate.js\").Coordinate} Coordinate.\n     */\n    PluggableMap.prototype.getEventCoordinateInternal = function (event) {\n        return this.getCoordinateFromPixelInternal(this.getEventPixel(event));\n    };\n    /**\n     * Returns the map pixel position for a browser event relative to the viewport.\n     * @param {UIEvent} event Event.\n     * @return {import(\"./pixel.js\").Pixel} Pixel.\n     * @api\n     */\n    PluggableMap.prototype.getEventPixel = function (event) {\n        var viewportPosition = this.viewport_.getBoundingClientRect();\n        var eventPosition = \n        //FIXME Are we really calling this with a TouchEvent anywhere?\n        'changedTouches' in event\n            ? /** @type {TouchEvent} */ (event).changedTouches[0]\n            : /** @type {MouseEvent} */ (event);\n        return [\n            eventPosition.clientX - viewportPosition.left,\n            eventPosition.clientY - viewportPosition.top,\n        ];\n    };\n    /**\n     * Get the target in which this map is rendered.\n     * Note that this returns what is entered as an option or in setTarget:\n     * if that was an element, it returns an element; if a string, it returns that.\n     * @return {HTMLElement|string|undefined} The Element or id of the Element that the\n     *     map is rendered in.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.getTarget = function () {\n        return /** @type {HTMLElement|string|undefined} */ (this.get(MapProperty.TARGET));\n    };\n    /**\n     * Get the DOM element into which this map is rendered. In contrast to\n     * `getTarget` this method always return an `Element`, or `null` if the\n     * map has no target.\n     * @return {HTMLElement} The element that the map is rendered in.\n     * @api\n     */\n    PluggableMap.prototype.getTargetElement = function () {\n        var target = this.getTarget();\n        if (target !== undefined) {\n            return typeof target === 'string'\n                ? document.getElementById(target)\n                : target;\n        }\n        else {\n            return null;\n        }\n    };\n    /**\n     * Get the coordinate for a given pixel.  This returns a coordinate in the\n     * user projection.\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel position in the map viewport.\n     * @return {import(\"./coordinate.js\").Coordinate} The coordinate for the pixel position.\n     * @api\n     */\n    PluggableMap.prototype.getCoordinateFromPixel = function (pixel) {\n        return toUserCoordinate(this.getCoordinateFromPixelInternal(pixel), this.getView().getProjection());\n    };\n    /**\n     * Get the coordinate for a given pixel.  This returns a coordinate in the\n     * map view projection.\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel position in the map viewport.\n     * @return {import(\"./coordinate.js\").Coordinate} The coordinate for the pixel position.\n     */\n    PluggableMap.prototype.getCoordinateFromPixelInternal = function (pixel) {\n        var frameState = this.frameState_;\n        if (!frameState) {\n            return null;\n        }\n        else {\n            return applyTransform(frameState.pixelToCoordinateTransform, pixel.slice());\n        }\n    };\n    /**\n     * Get the map controls. Modifying this collection changes the controls\n     * associated with the map.\n     * @return {Collection<import(\"./control/Control.js\").default>} Controls.\n     * @api\n     */\n    PluggableMap.prototype.getControls = function () {\n        return this.controls;\n    };\n    /**\n     * Get the map overlays. Modifying this collection changes the overlays\n     * associated with the map.\n     * @return {Collection<import(\"./Overlay.js\").default>} Overlays.\n     * @api\n     */\n    PluggableMap.prototype.getOverlays = function () {\n        return this.overlays_;\n    };\n    /**\n     * Get an overlay by its identifier (the value returned by overlay.getId()).\n     * Note that the index treats string and numeric identifiers as the same. So\n     * `map.getOverlayById(2)` will return an overlay with id `'2'` or `2`.\n     * @param {string|number} id Overlay identifier.\n     * @return {import(\"./Overlay.js\").default} Overlay.\n     * @api\n     */\n    PluggableMap.prototype.getOverlayById = function (id) {\n        var overlay = this.overlayIdIndex_[id.toString()];\n        return overlay !== undefined ? overlay : null;\n    };\n    /**\n     * Get the map interactions. Modifying this collection changes the interactions\n     * associated with the map.\n     *\n     * Interactions are used for e.g. pan, zoom and rotate.\n     * @return {Collection<import(\"./interaction/Interaction.js\").default>} Interactions.\n     * @api\n     */\n    PluggableMap.prototype.getInteractions = function () {\n        return this.interactions;\n    };\n    /**\n     * Get the layergroup associated with this map.\n     * @return {LayerGroup} A layer group containing the layers in this map.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.getLayerGroup = function () {\n        return /** @type {LayerGroup} */ (this.get(MapProperty.LAYERGROUP));\n    };\n    /**\n     * Clear any existing layers and add layers to the map.\n     * @param {Array<import(\"./layer/Base.js\").default>|Collection<import(\"./layer/Base.js\").default>} layers The layers to be added to the map.\n     * @api\n     */\n    PluggableMap.prototype.setLayers = function (layers) {\n        var group = this.getLayerGroup();\n        if (layers instanceof Collection) {\n            group.setLayers(layers);\n            return;\n        }\n        var collection = group.getLayers();\n        collection.clear();\n        collection.extend(layers);\n    };\n    /**\n     * Get the collection of layers associated with this map.\n     * @return {!Collection<import(\"./layer/Base.js\").default>} Layers.\n     * @api\n     */\n    PluggableMap.prototype.getLayers = function () {\n        var layers = this.getLayerGroup().getLayers();\n        return layers;\n    };\n    /**\n     * @return {boolean} Layers have sources that are still loading.\n     */\n    PluggableMap.prototype.getLoading = function () {\n        var layerStatesArray = this.getLayerGroup().getLayerStatesArray();\n        for (var i = 0, ii = layerStatesArray.length; i < ii; ++i) {\n            var layer = layerStatesArray[i].layer;\n            var source = /** @type {import(\"./layer/Layer.js\").default} */ (layer).getSource();\n            if (source && source.loading) {\n                return true;\n            }\n        }\n        return false;\n    };\n    /**\n     * Get the pixel for a coordinate.  This takes a coordinate in the user\n     * projection and returns the corresponding pixel.\n     * @param {import(\"./coordinate.js\").Coordinate} coordinate A map coordinate.\n     * @return {import(\"./pixel.js\").Pixel} A pixel position in the map viewport.\n     * @api\n     */\n    PluggableMap.prototype.getPixelFromCoordinate = function (coordinate) {\n        var viewCoordinate = fromUserCoordinate(coordinate, this.getView().getProjection());\n        return this.getPixelFromCoordinateInternal(viewCoordinate);\n    };\n    /**\n     * Get the pixel for a coordinate.  This takes a coordinate in the map view\n     * projection and returns the corresponding pixel.\n     * @param {import(\"./coordinate.js\").Coordinate} coordinate A map coordinate.\n     * @return {import(\"./pixel.js\").Pixel} A pixel position in the map viewport.\n     */\n    PluggableMap.prototype.getPixelFromCoordinateInternal = function (coordinate) {\n        var frameState = this.frameState_;\n        if (!frameState) {\n            return null;\n        }\n        else {\n            return applyTransform(frameState.coordinateToPixelTransform, coordinate.slice(0, 2));\n        }\n    };\n    /**\n     * Get the map renderer.\n     * @return {import(\"./renderer/Map.js\").default} Renderer\n     */\n    PluggableMap.prototype.getRenderer = function () {\n        return this.renderer_;\n    };\n    /**\n     * Get the size of this map.\n     * @return {import(\"./size.js\").Size|undefined} The size in pixels of the map in the DOM.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.getSize = function () {\n        return /** @type {import(\"./size.js\").Size|undefined} */ (this.get(MapProperty.SIZE));\n    };\n    /**\n     * Get the view associated with this map. A view manages properties such as\n     * center and resolution.\n     * @return {View} The view that controls this map.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.getView = function () {\n        return /** @type {View} */ (this.get(MapProperty.VIEW));\n    };\n    /**\n     * Get the element that serves as the map viewport.\n     * @return {HTMLElement} Viewport.\n     * @api\n     */\n    PluggableMap.prototype.getViewport = function () {\n        return this.viewport_;\n    };\n    /**\n     * Get the element that serves as the container for overlays.  Elements added to\n     * this container will let mousedown and touchstart events through to the map,\n     * so clicks and gestures on an overlay will trigger {@link module:ol/MapBrowserEvent~MapBrowserEvent}\n     * events.\n     * @return {!HTMLElement} The map's overlay container.\n     */\n    PluggableMap.prototype.getOverlayContainer = function () {\n        return this.overlayContainer_;\n    };\n    /**\n     * Get the element that serves as a container for overlays that don't allow\n     * event propagation. Elements added to this container won't let mousedown and\n     * touchstart events through to the map, so clicks and gestures on an overlay\n     * don't trigger any {@link module:ol/MapBrowserEvent~MapBrowserEvent}.\n     * @return {!HTMLElement} The map's overlay container that stops events.\n     */\n    PluggableMap.prototype.getOverlayContainerStopEvent = function () {\n        return this.overlayContainerStopEvent_;\n    };\n    /**\n     * @return {!Document} The document where the map is displayed.\n     */\n    PluggableMap.prototype.getOwnerDocument = function () {\n        var targetElement = this.getTargetElement();\n        return targetElement ? targetElement.ownerDocument : document;\n    };\n    /**\n     * @param {import(\"./Tile.js\").default} tile Tile.\n     * @param {string} tileSourceKey Tile source key.\n     * @param {import(\"./coordinate.js\").Coordinate} tileCenter Tile center.\n     * @param {number} tileResolution Tile resolution.\n     * @return {number} Tile priority.\n     */\n    PluggableMap.prototype.getTilePriority = function (tile, tileSourceKey, tileCenter, tileResolution) {\n        return getTilePriority(this.frameState_, tile, tileSourceKey, tileCenter, tileResolution);\n    };\n    /**\n     * @param {UIEvent} browserEvent Browser event.\n     * @param {string} [opt_type] Type.\n     */\n    PluggableMap.prototype.handleBrowserEvent = function (browserEvent, opt_type) {\n        var type = opt_type || browserEvent.type;\n        var mapBrowserEvent = new MapBrowserEvent(type, this, browserEvent);\n        this.handleMapBrowserEvent(mapBrowserEvent);\n    };\n    /**\n     * @param {MapBrowserEvent} mapBrowserEvent The event to handle.\n     */\n    PluggableMap.prototype.handleMapBrowserEvent = function (mapBrowserEvent) {\n        if (!this.frameState_) {\n            // With no view defined, we cannot translate pixels into geographical\n            // coordinates so interactions cannot be used.\n            return;\n        }\n        var originalEvent = /** @type {PointerEvent} */ (mapBrowserEvent.originalEvent);\n        var eventType = originalEvent.type;\n        if (eventType === PointerEventType.POINTERDOWN ||\n            eventType === EventType.WHEEL ||\n            eventType === EventType.KEYDOWN) {\n            var doc = this.getOwnerDocument();\n            var rootNode = this.viewport_.getRootNode\n                ? this.viewport_.getRootNode()\n                : doc;\n            var target = /** @type {Node} */ (originalEvent.target);\n            if (\n            // Abort if the target is a child of the container for elements whose events are not meant\n            // to be handled by map interactions.\n            this.overlayContainerStopEvent_.contains(target) ||\n                // Abort if the event target is a child of the container that is no longer in the page.\n                // It's possible for the target to no longer be in the page if it has been removed in an\n                // event listener, this might happen in a Control that recreates it's content based on\n                // user interaction either manually or via a render in something like https://reactjs.org/\n                !(rootNode === doc ? doc.documentElement : rootNode).contains(target)) {\n                return;\n            }\n        }\n        mapBrowserEvent.frameState = this.frameState_;\n        if (this.dispatchEvent(mapBrowserEvent) !== false) {\n            var interactionsArray = this.getInteractions().getArray().slice();\n            for (var i = interactionsArray.length - 1; i >= 0; i--) {\n                var interaction = interactionsArray[i];\n                if (interaction.getMap() !== this ||\n                    !interaction.getActive() ||\n                    !this.getTargetElement()) {\n                    continue;\n                }\n                var cont = interaction.handleEvent(mapBrowserEvent);\n                if (!cont || mapBrowserEvent.propagationStopped) {\n                    break;\n                }\n            }\n        }\n    };\n    /**\n     * @protected\n     */\n    PluggableMap.prototype.handlePostRender = function () {\n        var frameState = this.frameState_;\n        // Manage the tile queue\n        // Image loads are expensive and a limited resource, so try to use them\n        // efficiently:\n        // * When the view is static we allow a large number of parallel tile loads\n        //   to complete the frame as quickly as possible.\n        // * When animating or interacting, image loads can cause janks, so we reduce\n        //   the maximum number of loads per frame and limit the number of parallel\n        //   tile loads to remain reactive to view changes and to reduce the chance of\n        //   loading tiles that will quickly disappear from view.\n        var tileQueue = this.tileQueue_;\n        if (!tileQueue.isEmpty()) {\n            var maxTotalLoading = this.maxTilesLoading_;\n            var maxNewLoads = maxTotalLoading;\n            if (frameState) {\n                var hints = frameState.viewHints;\n                if (hints[ViewHint.ANIMATING] || hints[ViewHint.INTERACTING]) {\n                    var lowOnFrameBudget = Date.now() - frameState.time > 8;\n                    maxTotalLoading = lowOnFrameBudget ? 0 : 8;\n                    maxNewLoads = lowOnFrameBudget ? 0 : 2;\n                }\n            }\n            if (tileQueue.getTilesLoading() < maxTotalLoading) {\n                tileQueue.reprioritize(); // FIXME only call if view has changed\n                tileQueue.loadMoreTiles(maxTotalLoading, maxNewLoads);\n            }\n        }\n        if (frameState &&\n            this.hasListener(RenderEventType.RENDERCOMPLETE) &&\n            !frameState.animate &&\n            this.renderComplete_) {\n            this.renderer_.dispatchRenderEvent(RenderEventType.RENDERCOMPLETE, frameState);\n        }\n        var postRenderFunctions = this.postRenderFunctions_;\n        for (var i = 0, ii = postRenderFunctions.length; i < ii; ++i) {\n            postRenderFunctions[i](this, frameState);\n        }\n        postRenderFunctions.length = 0;\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleSizeChanged_ = function () {\n        if (this.getView() && !this.getView().getAnimating()) {\n            this.getView().resolveConstraints(0);\n        }\n        this.render();\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleTargetChanged_ = function () {\n        if (this.mapBrowserEventHandler_) {\n            for (var i = 0, ii = this.targetChangeHandlerKeys_.length; i < ii; ++i) {\n                unlistenByKey(this.targetChangeHandlerKeys_[i]);\n            }\n            this.targetChangeHandlerKeys_ = null;\n            this.viewport_.removeEventListener(EventType.CONTEXTMENU, this.boundHandleBrowserEvent_);\n            this.viewport_.removeEventListener(EventType.WHEEL, this.boundHandleBrowserEvent_);\n            this.mapBrowserEventHandler_.dispose();\n            this.mapBrowserEventHandler_ = null;\n            removeNode(this.viewport_);\n        }\n        // target may be undefined, null, a string or an Element.\n        // If it's a string we convert it to an Element before proceeding.\n        // If it's not now an Element we remove the viewport from the DOM.\n        // If it's an Element we append the viewport element to it.\n        var targetElement = this.getTargetElement();\n        if (!targetElement) {\n            if (this.renderer_) {\n                clearTimeout(this.postRenderTimeoutHandle_);\n                this.postRenderTimeoutHandle_ = undefined;\n                this.postRenderFunctions_.length = 0;\n                this.renderer_.dispose();\n                this.renderer_ = null;\n            }\n            if (this.animationDelayKey_) {\n                cancelAnimationFrame(this.animationDelayKey_);\n                this.animationDelayKey_ = undefined;\n            }\n        }\n        else {\n            targetElement.appendChild(this.viewport_);\n            if (!this.renderer_) {\n                this.renderer_ = this.createRenderer();\n            }\n            this.mapBrowserEventHandler_ = new MapBrowserEventHandler(this, this.moveTolerance_);\n            for (var key in MapBrowserEventType) {\n                this.mapBrowserEventHandler_.addEventListener(MapBrowserEventType[key], this.handleMapBrowserEvent.bind(this));\n            }\n            this.viewport_.addEventListener(EventType.CONTEXTMENU, this.boundHandleBrowserEvent_, false);\n            this.viewport_.addEventListener(EventType.WHEEL, this.boundHandleBrowserEvent_, PASSIVE_EVENT_LISTENERS ? { passive: false } : false);\n            var defaultView = this.getOwnerDocument().defaultView;\n            var keyboardEventTarget = !this.keyboardEventTarget_\n                ? targetElement\n                : this.keyboardEventTarget_;\n            this.targetChangeHandlerKeys_ = [\n                listen(keyboardEventTarget, EventType.KEYDOWN, this.handleBrowserEvent, this),\n                listen(keyboardEventTarget, EventType.KEYPRESS, this.handleBrowserEvent, this),\n                listen(defaultView, EventType.RESIZE, this.updateSize, this),\n            ];\n        }\n        this.updateSize();\n        // updateSize calls setSize, so no need to call this.render\n        // ourselves here.\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleTileChange_ = function () {\n        this.render();\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleViewPropertyChanged_ = function () {\n        this.render();\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleViewChanged_ = function () {\n        if (this.viewPropertyListenerKey_) {\n            unlistenByKey(this.viewPropertyListenerKey_);\n            this.viewPropertyListenerKey_ = null;\n        }\n        if (this.viewChangeListenerKey_) {\n            unlistenByKey(this.viewChangeListenerKey_);\n            this.viewChangeListenerKey_ = null;\n        }\n        var view = this.getView();\n        if (view) {\n            this.updateViewportSize_();\n            this.viewPropertyListenerKey_ = listen(view, ObjectEventType.PROPERTYCHANGE, this.handleViewPropertyChanged_, this);\n            this.viewChangeListenerKey_ = listen(view, EventType.CHANGE, this.handleViewPropertyChanged_, this);\n            view.resolveConstraints(0);\n        }\n        this.render();\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleLayerGroupChanged_ = function () {\n        if (this.layerGroupPropertyListenerKeys_) {\n            this.layerGroupPropertyListenerKeys_.forEach(unlistenByKey);\n            this.layerGroupPropertyListenerKeys_ = null;\n        }\n        var layerGroup = this.getLayerGroup();\n        if (layerGroup) {\n            this.handleLayerAdd_(new GroupEvent('addlayer', layerGroup));\n            this.layerGroupPropertyListenerKeys_ = [\n                listen(layerGroup, ObjectEventType.PROPERTYCHANGE, this.render, this),\n                listen(layerGroup, EventType.CHANGE, this.render, this),\n                listen(layerGroup, 'addlayer', this.handleLayerAdd_, this),\n                listen(layerGroup, 'removelayer', this.handleLayerRemove_, this),\n            ];\n        }\n        this.render();\n    };\n    /**\n     * @return {boolean} Is rendered.\n     */\n    PluggableMap.prototype.isRendered = function () {\n        return !!this.frameState_;\n    };\n    /**\n     * Requests an immediate render in a synchronous manner.\n     * @api\n     */\n    PluggableMap.prototype.renderSync = function () {\n        if (this.animationDelayKey_) {\n            cancelAnimationFrame(this.animationDelayKey_);\n        }\n        this.animationDelay_();\n    };\n    /**\n     * Redraws all text after new fonts have loaded\n     */\n    PluggableMap.prototype.redrawText = function () {\n        var layerStates = this.getLayerGroup().getLayerStatesArray();\n        for (var i = 0, ii = layerStates.length; i < ii; ++i) {\n            var layer = layerStates[i].layer;\n            if (layer.hasRenderer()) {\n                layer.getRenderer().handleFontsChanged();\n            }\n        }\n    };\n    /**\n     * Request a map rendering (at the next animation frame).\n     * @api\n     */\n    PluggableMap.prototype.render = function () {\n        if (this.renderer_ && this.animationDelayKey_ === undefined) {\n            this.animationDelayKey_ = requestAnimationFrame(this.animationDelay_);\n        }\n    };\n    /**\n     * Remove the given control from the map.\n     * @param {import(\"./control/Control.js\").default} control Control.\n     * @return {import(\"./control/Control.js\").default|undefined} The removed control (or undefined\n     *     if the control was not found).\n     * @api\n     */\n    PluggableMap.prototype.removeControl = function (control) {\n        return this.getControls().remove(control);\n    };\n    /**\n     * Remove the given interaction from the map.\n     * @param {import(\"./interaction/Interaction.js\").default} interaction Interaction to remove.\n     * @return {import(\"./interaction/Interaction.js\").default|undefined} The removed interaction (or\n     *     undefined if the interaction was not found).\n     * @api\n     */\n    PluggableMap.prototype.removeInteraction = function (interaction) {\n        return this.getInteractions().remove(interaction);\n    };\n    /**\n     * Removes the given layer from the map.\n     * @param {import(\"./layer/Base.js\").default} layer Layer.\n     * @return {import(\"./layer/Base.js\").default|undefined} The removed layer (or undefined if the\n     *     layer was not found).\n     * @api\n     */\n    PluggableMap.prototype.removeLayer = function (layer) {\n        var layers = this.getLayerGroup().getLayers();\n        return layers.remove(layer);\n    };\n    /**\n     * @param {import(\"./layer/Group.js\").GroupEvent} event The layer remove event.\n     * @private\n     */\n    PluggableMap.prototype.handleLayerRemove_ = function (event) {\n        removeLayerMapProperty(event.layer);\n    };\n    /**\n     * Remove the given overlay from the map.\n     * @param {import(\"./Overlay.js\").default} overlay Overlay.\n     * @return {import(\"./Overlay.js\").default|undefined} The removed overlay (or undefined\n     *     if the overlay was not found).\n     * @api\n     */\n    PluggableMap.prototype.removeOverlay = function (overlay) {\n        return this.getOverlays().remove(overlay);\n    };\n    /**\n     * @param {number} time Time.\n     * @private\n     */\n    PluggableMap.prototype.renderFrame_ = function (time) {\n        var _this = this;\n        var size = this.getSize();\n        var view = this.getView();\n        var previousFrameState = this.frameState_;\n        /** @type {?FrameState} */\n        var frameState = null;\n        if (size !== undefined && hasArea(size) && view && view.isDef()) {\n            var viewHints = view.getHints(this.frameState_ ? this.frameState_.viewHints : undefined);\n            var viewState = view.getState();\n            frameState = {\n                animate: false,\n                coordinateToPixelTransform: this.coordinateToPixelTransform_,\n                declutterTree: null,\n                extent: getForViewAndSize(viewState.center, viewState.resolution, viewState.rotation, size),\n                index: this.frameIndex_++,\n                layerIndex: 0,\n                layerStatesArray: this.getLayerGroup().getLayerStatesArray(),\n                pixelRatio: this.pixelRatio_,\n                pixelToCoordinateTransform: this.pixelToCoordinateTransform_,\n                postRenderFunctions: [],\n                size: size,\n                tileQueue: this.tileQueue_,\n                time: time,\n                usedTiles: {},\n                viewState: viewState,\n                viewHints: viewHints,\n                wantedTiles: {},\n                mapId: getUid(this),\n                renderTargets: {},\n            };\n            if (viewState.nextCenter && viewState.nextResolution) {\n                var rotation = isNaN(viewState.nextRotation)\n                    ? viewState.rotation\n                    : viewState.nextRotation;\n                frameState.nextExtent = getForViewAndSize(viewState.nextCenter, viewState.nextResolution, rotation, size);\n            }\n        }\n        this.frameState_ = frameState;\n        this.renderer_.renderFrame(frameState);\n        if (frameState) {\n            if (frameState.animate) {\n                this.render();\n            }\n            Array.prototype.push.apply(this.postRenderFunctions_, frameState.postRenderFunctions);\n            if (previousFrameState) {\n                var moveStart = !this.previousExtent_ ||\n                    (!isEmpty(this.previousExtent_) &&\n                        !equals(frameState.extent, this.previousExtent_));\n                if (moveStart) {\n                    this.dispatchEvent(new MapEvent(MapEventType.MOVESTART, this, previousFrameState));\n                    this.previousExtent_ = createOrUpdateEmpty(this.previousExtent_);\n                }\n            }\n            var idle = this.previousExtent_ &&\n                !frameState.viewHints[ViewHint.ANIMATING] &&\n                !frameState.viewHints[ViewHint.INTERACTING] &&\n                !equals(frameState.extent, this.previousExtent_);\n            if (idle) {\n                this.dispatchEvent(new MapEvent(MapEventType.MOVEEND, this, frameState));\n                clone(frameState.extent, this.previousExtent_);\n            }\n        }\n        this.dispatchEvent(new MapEvent(MapEventType.POSTRENDER, this, frameState));\n        this.renderComplete_ =\n            !this.tileQueue_.getTilesLoading() &&\n                !this.tileQueue_.getCount() &&\n                !this.getLoading();\n        if (!this.postRenderTimeoutHandle_) {\n            this.postRenderTimeoutHandle_ = setTimeout(function () {\n                _this.postRenderTimeoutHandle_ = undefined;\n                _this.handlePostRender();\n            }, 0);\n        }\n    };\n    /**\n     * Sets the layergroup of this map.\n     * @param {LayerGroup} layerGroup A layer group containing the layers in this map.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.setLayerGroup = function (layerGroup) {\n        var oldLayerGroup = this.getLayerGroup();\n        if (oldLayerGroup) {\n            this.handleLayerRemove_(new GroupEvent('removelayer', oldLayerGroup));\n        }\n        this.set(MapProperty.LAYERGROUP, layerGroup);\n    };\n    /**\n     * Set the size of this map.\n     * @param {import(\"./size.js\").Size|undefined} size The size in pixels of the map in the DOM.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.setSize = function (size) {\n        this.set(MapProperty.SIZE, size);\n    };\n    /**\n     * Set the target element to render this map into.\n     * @param {HTMLElement|string} [target] The Element or id of the Element\n     *     that the map is rendered in.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.setTarget = function (target) {\n        this.set(MapProperty.TARGET, target);\n    };\n    /**\n     * Set the view for this map.\n     * @param {View|Promise<import(\"./View.js\").ViewOptions>} view The view that controls this map.\n     * It is also possible to pass a promise that resolves to options for constructing a view.  This\n     * alternative allows view properties to be resolved by sources or other components that load\n     * view-related metadata.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.setView = function (view) {\n        if (!view || view instanceof View) {\n            this.set(MapProperty.VIEW, view);\n            return;\n        }\n        this.set(MapProperty.VIEW, new View());\n        var map = this;\n        view.then(function (viewOptions) {\n            map.setView(new View(viewOptions));\n        });\n    };\n    /**\n     * Force a recalculation of the map viewport size.  This should be called when\n     * third-party code changes the size of the map viewport.\n     * @api\n     */\n    PluggableMap.prototype.updateSize = function () {\n        var targetElement = this.getTargetElement();\n        var size = undefined;\n        if (targetElement) {\n            var computedStyle = getComputedStyle(targetElement);\n            var width = targetElement.offsetWidth -\n                parseFloat(computedStyle['borderLeftWidth']) -\n                parseFloat(computedStyle['paddingLeft']) -\n                parseFloat(computedStyle['paddingRight']) -\n                parseFloat(computedStyle['borderRightWidth']);\n            var height = targetElement.offsetHeight -\n                parseFloat(computedStyle['borderTopWidth']) -\n                parseFloat(computedStyle['paddingTop']) -\n                parseFloat(computedStyle['paddingBottom']) -\n                parseFloat(computedStyle['borderBottomWidth']);\n            if (!isNaN(width) && !isNaN(height)) {\n                size = [width, height];\n                if (!hasArea(size) &&\n                    !!(targetElement.offsetWidth ||\n                        targetElement.offsetHeight ||\n                        targetElement.getClientRects().length)) {\n                    // eslint-disable-next-line\n                    console.warn(\"No map visible because the map container's width or height are 0.\");\n                }\n            }\n        }\n        this.setSize(size);\n        this.updateViewportSize_();\n    };\n    /**\n     * Recomputes the viewport size and save it on the view object (if any)\n     * @private\n     */\n    PluggableMap.prototype.updateViewportSize_ = function () {\n        var view = this.getView();\n        if (view) {\n            var size = undefined;\n            var computedStyle = getComputedStyle(this.viewport_);\n            if (computedStyle.width && computedStyle.height) {\n                size = [\n                    parseInt(computedStyle.width, 10),\n                    parseInt(computedStyle.height, 10),\n                ];\n            }\n            view.setViewportSize(size);\n        }\n    };\n    return PluggableMap;\n}(BaseObject));\n/**\n * @param {MapOptions} options Map options.\n * @return {MapOptionsInternal} Internal map options.\n */\nfunction createOptionsInternal(options) {\n    /**\n     * @type {HTMLElement|Document}\n     */\n    var keyboardEventTarget = null;\n    if (options.keyboardEventTarget !== undefined) {\n        keyboardEventTarget =\n            typeof options.keyboardEventTarget === 'string'\n                ? document.getElementById(options.keyboardEventTarget)\n                : options.keyboardEventTarget;\n    }\n    /**\n     * @type {Object<string, *>}\n     */\n    var values = {};\n    var layerGroup = options.layers &&\n        typeof ( /** @type {?} */(options.layers).getLayers) === 'function'\n        ? /** @type {LayerGroup} */ (options.layers)\n        : new LayerGroup({ layers: /** @type {Collection} */ (options.layers) });\n    values[MapProperty.LAYERGROUP] = layerGroup;\n    values[MapProperty.TARGET] = options.target;\n    values[MapProperty.VIEW] =\n        options.view instanceof View ? options.view : new View();\n    var controls;\n    if (options.controls !== undefined) {\n        if (Array.isArray(options.controls)) {\n            controls = new Collection(options.controls.slice());\n        }\n        else {\n            assert(typeof ( /** @type {?} */(options.controls).getArray) === 'function', 47); // Expected `controls` to be an array or an `import(\"./Collection.js\").Collection`\n            controls = /** @type {Collection} */ (options.controls);\n        }\n    }\n    var interactions;\n    if (options.interactions !== undefined) {\n        if (Array.isArray(options.interactions)) {\n            interactions = new Collection(options.interactions.slice());\n        }\n        else {\n            assert(typeof ( /** @type {?} */(options.interactions).getArray) ===\n                'function', 48); // Expected `interactions` to be an array or an `import(\"./Collection.js\").Collection`\n            interactions = /** @type {Collection} */ (options.interactions);\n        }\n    }\n    var overlays;\n    if (options.overlays !== undefined) {\n        if (Array.isArray(options.overlays)) {\n            overlays = new Collection(options.overlays.slice());\n        }\n        else {\n            assert(typeof ( /** @type {?} */(options.overlays).getArray) === 'function', 49); // Expected `overlays` to be an array or an `import(\"./Collection.js\").Collection`\n            overlays = options.overlays;\n        }\n    }\n    else {\n        overlays = new Collection();\n    }\n    return {\n        controls: controls,\n        interactions: interactions,\n        keyboardEventTarget: keyboardEventTarget,\n        overlays: overlays,\n        values: values,\n    };\n}\nexport default PluggableMap;\n//# sourceMappingURL=PluggableMap.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/control/Control\n */\nimport BaseObject from '../Object.js';\nimport MapEventType from '../MapEventType.js';\nimport { VOID } from '../functions.js';\nimport { listen, unlistenByKey } from '../events.js';\nimport { removeNode } from '../dom.js';\n/**\n * @typedef {Object} Options\n * @property {HTMLElement} [element] The element is the control's\n * container element. This only needs to be specified if you're developing\n * a custom control.\n * @property {function(import(\"../MapEvent.js\").default):void} [render] Function called when\n * the control should be re-rendered. This is called in a `requestAnimationFrame`\n * callback.\n * @property {HTMLElement|string} [target] Specify a target if you want\n * the control to be rendered outside of the map's viewport.\n */\n/**\n * @classdesc\n * A control is a visible widget with a DOM element in a fixed position on the\n * screen. They can involve user input (buttons), or be informational only;\n * the position is determined using CSS. By default these are placed in the\n * container with CSS class name `ol-overlaycontainer-stopevent`, but can use\n * any outside DOM element.\n *\n * This is the base class for controls. You can use it for simple custom\n * controls by creating the element with listeners, creating an instance:\n * ```js\n * var myControl = new Control({element: myElement});\n * ```\n * and then adding this to the map.\n *\n * The main advantage of having this as a control rather than a simple separate\n * DOM element is that preventing propagation is handled for you. Controls\n * will also be objects in a {@link module:ol/Collection~Collection}, so you can use their methods.\n *\n * You can also extend this base for your own control class. See\n * examples/custom-controls for an example of how to do this.\n *\n * @api\n */\nvar Control = /** @class */ (function (_super) {\n    __extends(Control, _super);\n    /**\n     * @param {Options} options Control options.\n     */\n    function Control(options) {\n        var _this = _super.call(this) || this;\n        var element = options.element;\n        if (element && !options.target && !element.style.pointerEvents) {\n            element.style.pointerEvents = 'auto';\n        }\n        /**\n         * @protected\n         * @type {HTMLElement}\n         */\n        _this.element = element ? element : null;\n        /**\n         * @private\n         * @type {HTMLElement}\n         */\n        _this.target_ = null;\n        /**\n         * @private\n         * @type {import(\"../PluggableMap.js\").default}\n         */\n        _this.map_ = null;\n        /**\n         * @protected\n         * @type {!Array<import(\"../events.js\").EventsKey>}\n         */\n        _this.listenerKeys = [];\n        if (options.render) {\n            _this.render = options.render;\n        }\n        if (options.target) {\n            _this.setTarget(options.target);\n        }\n        return _this;\n    }\n    /**\n     * Clean up.\n     */\n    Control.prototype.disposeInternal = function () {\n        removeNode(this.element);\n        _super.prototype.disposeInternal.call(this);\n    };\n    /**\n     * Get the map associated with this control.\n     * @return {import(\"../PluggableMap.js\").default|undefined} Map.\n     * @api\n     */\n    Control.prototype.getMap = function () {\n        return this.map_;\n    };\n    /**\n     * Remove the control from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} [map] Map.\n     * @api\n     */\n    Control.prototype.setMap = function (map) {\n        if (this.map_) {\n            removeNode(this.element);\n        }\n        for (var i = 0, ii = this.listenerKeys.length; i < ii; ++i) {\n            unlistenByKey(this.listenerKeys[i]);\n        }\n        this.listenerKeys.length = 0;\n        this.map_ = map;\n        if (this.map_) {\n            var target = this.target_\n                ? this.target_\n                : map.getOverlayContainerStopEvent();\n            target.appendChild(this.element);\n            if (this.render !== VOID) {\n                this.listenerKeys.push(listen(map, MapEventType.POSTRENDER, this.render, this));\n            }\n            map.render();\n        }\n    };\n    /**\n     * Renders the control.\n     * @param {import(\"../MapEvent.js\").default} mapEvent Map event.\n     * @api\n     */\n    Control.prototype.render = function (mapEvent) { };\n    /**\n     * This function is used to set a target element for the control. It has no\n     * effect if it is called after the control has been added to the map (i.e.\n     * after `setMap` is called on the control). If no `target` is set in the\n     * options passed to the control constructor and if `setTarget` is not called\n     * then the control is added to the map's overlay container.\n     * @param {HTMLElement|string} target Target.\n     * @api\n     */\n    Control.prototype.setTarget = function (target) {\n        this.target_ =\n            typeof target === 'string' ? document.getElementById(target) : target;\n    };\n    return Control;\n}(BaseObject));\nexport default Control;\n//# sourceMappingURL=Control.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/control/Attribution\n */\nimport Control from './Control.js';\nimport EventType from '../events/EventType.js';\nimport { CLASS_COLLAPSED, CLASS_CONTROL, CLASS_UNSELECTABLE } from '../css.js';\nimport { equals } from '../array.js';\nimport { inView } from '../layer/Layer.js';\nimport { removeChildren, replaceNode } from '../dom.js';\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-attribution'] CSS class name.\n * @property {HTMLElement|string} [target] Specify a target if you\n * want the control to be rendered outside of the map's\n * viewport.\n * @property {boolean} [collapsible] Specify if attributions can\n * be collapsed. If not specified, sources control this behavior with their\n * `attributionsCollapsible` setting.\n * @property {boolean} [collapsed=true] Specify if attributions should\n * be collapsed at startup.\n * @property {string} [tipLabel='Attributions'] Text label to use for the button tip.\n * @property {string|HTMLElement} [label='i'] Text label to use for the\n * collapsed attributions button.\n * Instead of text, also an element (e.g. a `span` element) can be used.\n * @property {string} [expandClassName=className + '-expand'] CSS class name for the\n * collapsed attributions button.\n * @property {string|HTMLElement} [collapseLabel='›'] Text label to use\n * for the expanded attributions button.\n * Instead of text, also an element (e.g. a `span` element) can be used.\n * @property {string} [collapseClassName=className + '-collapse'] CSS class name for the\n * expanded attributions button.\n * @property {function(import(\"../MapEvent.js\").default):void} [render] Function called when\n * the control should be re-rendered. This is called in a `requestAnimationFrame`\n * callback.\n */\n/**\n * @classdesc\n * Control to show all the attributions associated with the layer sources\n * in the map. This control is one of the default controls included in maps.\n * By default it will show in the bottom right portion of the map, but this can\n * be changed by using a css selector for `.ol-attribution`.\n *\n * @api\n */\nvar Attribution = /** @class */ (function (_super) {\n    __extends(Attribution, _super);\n    /**\n     * @param {Options} [opt_options] Attribution options.\n     */\n    function Attribution(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            element: document.createElement('div'),\n            render: options.render,\n            target: options.target,\n        }) || this;\n        /**\n         * @private\n         * @type {HTMLElement}\n         */\n        _this.ulElement_ = document.createElement('ul');\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.collapsed_ =\n            options.collapsed !== undefined ? options.collapsed : true;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.userCollapsed_ = _this.collapsed_;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.overrideCollapsible_ = options.collapsible !== undefined;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.collapsible_ =\n            options.collapsible !== undefined ? options.collapsible : true;\n        if (!_this.collapsible_) {\n            _this.collapsed_ = false;\n        }\n        var className = options.className !== undefined ? options.className : 'ol-attribution';\n        var tipLabel = options.tipLabel !== undefined ? options.tipLabel : 'Attributions';\n        var expandClassName = options.expandClassName !== undefined\n            ? options.expandClassName\n            : className + '-expand';\n        var collapseLabel = options.collapseLabel !== undefined ? options.collapseLabel : '\\u203A';\n        var collapseClassName = options.collapseClassName !== undefined\n            ? options.collapseClassName\n            : className + '-collpase';\n        if (typeof collapseLabel === 'string') {\n            /**\n             * @private\n             * @type {HTMLElement}\n             */\n            _this.collapseLabel_ = document.createElement('span');\n            _this.collapseLabel_.textContent = collapseLabel;\n            _this.collapseLabel_.className = collapseClassName;\n        }\n        else {\n            _this.collapseLabel_ = collapseLabel;\n        }\n        var label = options.label !== undefined ? options.label : 'i';\n        if (typeof label === 'string') {\n            /**\n             * @private\n             * @type {HTMLElement}\n             */\n            _this.label_ = document.createElement('span');\n            _this.label_.textContent = label;\n            _this.label_.className = expandClassName;\n        }\n        else {\n            _this.label_ = label;\n        }\n        var activeLabel = _this.collapsible_ && !_this.collapsed_ ? _this.collapseLabel_ : _this.label_;\n        /**\n         * @private\n         * @type {HTMLElement}\n         */\n        _this.toggleButton_ = document.createElement('button');\n        _this.toggleButton_.setAttribute('type', 'button');\n        _this.toggleButton_.setAttribute('aria-expanded', String(!_this.collapsed_));\n        _this.toggleButton_.title = tipLabel;\n        _this.toggleButton_.appendChild(activeLabel);\n        _this.toggleButton_.addEventListener(EventType.CLICK, _this.handleClick_.bind(_this), false);\n        var cssClasses = className +\n            ' ' +\n            CLASS_UNSELECTABLE +\n            ' ' +\n            CLASS_CONTROL +\n            (_this.collapsed_ && _this.collapsible_ ? ' ' + CLASS_COLLAPSED : '') +\n            (_this.collapsible_ ? '' : ' ol-uncollapsible');\n        var element = _this.element;\n        element.className = cssClasses;\n        element.appendChild(_this.toggleButton_);\n        element.appendChild(_this.ulElement_);\n        /**\n         * A list of currently rendered resolutions.\n         * @type {Array<string>}\n         * @private\n         */\n        _this.renderedAttributions_ = [];\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderedVisible_ = true;\n        return _this;\n    }\n    /**\n     * Collect a list of visible attributions and set the collapsible state.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {Array<string>} Attributions.\n     * @private\n     */\n    Attribution.prototype.collectSourceAttributions_ = function (frameState) {\n        /**\n         * Used to determine if an attribution already exists.\n         * @type {!Object<string, boolean>}\n         */\n        var lookup = {};\n        /**\n         * A list of visible attributions.\n         * @type {Array<string>}\n         */\n        var visibleAttributions = [];\n        var collapsible = true;\n        var layerStatesArray = frameState.layerStatesArray;\n        for (var i = 0, ii = layerStatesArray.length; i < ii; ++i) {\n            var layerState = layerStatesArray[i];\n            if (!inView(layerState, frameState.viewState)) {\n                continue;\n            }\n            var source = /** @type {import(\"../layer/Layer.js\").default} */ (layerState.layer).getSource();\n            if (!source) {\n                continue;\n            }\n            var attributionGetter = source.getAttributions();\n            if (!attributionGetter) {\n                continue;\n            }\n            var attributions = attributionGetter(frameState);\n            if (!attributions) {\n                continue;\n            }\n            collapsible =\n                collapsible && source.getAttributionsCollapsible() !== false;\n            if (Array.isArray(attributions)) {\n                for (var j = 0, jj = attributions.length; j < jj; ++j) {\n                    if (!(attributions[j] in lookup)) {\n                        visibleAttributions.push(attributions[j]);\n                        lookup[attributions[j]] = true;\n                    }\n                }\n            }\n            else {\n                if (!(attributions in lookup)) {\n                    visibleAttributions.push(attributions);\n                    lookup[attributions] = true;\n                }\n            }\n        }\n        if (!this.overrideCollapsible_) {\n            this.setCollapsible(collapsible);\n        }\n        return visibleAttributions;\n    };\n    /**\n     * @private\n     * @param {?import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    Attribution.prototype.updateElement_ = function (frameState) {\n        if (!frameState) {\n            if (this.renderedVisible_) {\n                this.element.style.display = 'none';\n                this.renderedVisible_ = false;\n            }\n            return;\n        }\n        var attributions = this.collectSourceAttributions_(frameState);\n        var visible = attributions.length > 0;\n        if (this.renderedVisible_ != visible) {\n            this.element.style.display = visible ? '' : 'none';\n            this.renderedVisible_ = visible;\n        }\n        if (equals(attributions, this.renderedAttributions_)) {\n            return;\n        }\n        removeChildren(this.ulElement_);\n        // append the attributions\n        for (var i = 0, ii = attributions.length; i < ii; ++i) {\n            var element = document.createElement('li');\n            element.innerHTML = attributions[i];\n            this.ulElement_.appendChild(element);\n        }\n        this.renderedAttributions_ = attributions;\n    };\n    /**\n     * @param {MouseEvent} event The event to handle\n     * @private\n     */\n    Attribution.prototype.handleClick_ = function (event) {\n        event.preventDefault();\n        this.handleToggle_();\n        this.userCollapsed_ = this.collapsed_;\n    };\n    /**\n     * @private\n     */\n    Attribution.prototype.handleToggle_ = function () {\n        this.element.classList.toggle(CLASS_COLLAPSED);\n        if (this.collapsed_) {\n            replaceNode(this.collapseLabel_, this.label_);\n        }\n        else {\n            replaceNode(this.label_, this.collapseLabel_);\n        }\n        this.collapsed_ = !this.collapsed_;\n        this.toggleButton_.setAttribute('aria-expanded', String(!this.collapsed_));\n    };\n    /**\n     * Return `true` if the attribution is collapsible, `false` otherwise.\n     * @return {boolean} True if the widget is collapsible.\n     * @api\n     */\n    Attribution.prototype.getCollapsible = function () {\n        return this.collapsible_;\n    };\n    /**\n     * Set whether the attribution should be collapsible.\n     * @param {boolean} collapsible True if the widget is collapsible.\n     * @api\n     */\n    Attribution.prototype.setCollapsible = function (collapsible) {\n        if (this.collapsible_ === collapsible) {\n            return;\n        }\n        this.collapsible_ = collapsible;\n        this.element.classList.toggle('ol-uncollapsible');\n        if (this.userCollapsed_) {\n            this.handleToggle_();\n        }\n    };\n    /**\n     * Collapse or expand the attribution according to the passed parameter. Will\n     * not do anything if the attribution isn't collapsible or if the current\n     * collapsed state is already the one requested.\n     * @param {boolean} collapsed True if the widget is collapsed.\n     * @api\n     */\n    Attribution.prototype.setCollapsed = function (collapsed) {\n        this.userCollapsed_ = collapsed;\n        if (!this.collapsible_ || this.collapsed_ === collapsed) {\n            return;\n        }\n        this.handleToggle_();\n    };\n    /**\n     * Return `true` when the attribution is currently collapsed or `false`\n     * otherwise.\n     * @return {boolean} True if the widget is collapsed.\n     * @api\n     */\n    Attribution.prototype.getCollapsed = function () {\n        return this.collapsed_;\n    };\n    /**\n     * Update the attribution element.\n     * @param {import(\"../MapEvent.js\").default} mapEvent Map event.\n     * @override\n     */\n    Attribution.prototype.render = function (mapEvent) {\n        this.updateElement_(mapEvent.frameState);\n    };\n    return Attribution;\n}(Control));\nexport default Attribution;\n//# sourceMappingURL=Attribution.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/control/Rotate\n */\nimport Control from './Control.js';\nimport EventType from '../events/EventType.js';\nimport { CLASS_CONTROL, CLASS_HIDDEN, CLASS_UNSELECTABLE } from '../css.js';\nimport { easeOut } from '../easing.js';\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-rotate'] CSS class name.\n * @property {string|HTMLElement} [label='⇧'] Text label to use for the rotate button.\n * Instead of text, also an element (e.g. a `span` element) can be used.\n * @property {string} [tipLabel='Reset rotation'] Text label to use for the rotate tip.\n * @property {string} [compassClassName='ol-compass'] CSS class name for the compass.\n * @property {number} [duration=250] Animation duration in milliseconds.\n * @property {boolean} [autoHide=true] Hide the control when rotation is 0.\n * @property {function(import(\"../MapEvent.js\").default):void} [render] Function called when the control should\n * be re-rendered. This is called in a `requestAnimationFrame` callback.\n * @property {function():void} [resetNorth] Function called when the control is clicked.\n * This will override the default `resetNorth`.\n * @property {HTMLElement|string} [target] Specify a target if you want the control to be\n * rendered outside of the map's viewport.\n */\n/**\n * @classdesc\n * A button control to reset rotation to 0.\n * To style this control use css selector `.ol-rotate`. A `.ol-hidden` css\n * selector is added to the button when the rotation is 0.\n *\n * @api\n */\nvar Rotate = /** @class */ (function (_super) {\n    __extends(Rotate, _super);\n    /**\n     * @param {Options} [opt_options] Rotate options.\n     */\n    function Rotate(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            element: document.createElement('div'),\n            render: options.render,\n            target: options.target,\n        }) || this;\n        var className = options.className !== undefined ? options.className : 'ol-rotate';\n        var label = options.label !== undefined ? options.label : '\\u21E7';\n        var compassClassName = options.compassClassName !== undefined\n            ? options.compassClassName\n            : 'ol-compass';\n        /**\n         * @type {HTMLElement}\n         * @private\n         */\n        _this.label_ = null;\n        if (typeof label === 'string') {\n            _this.label_ = document.createElement('span');\n            _this.label_.className = compassClassName;\n            _this.label_.textContent = label;\n        }\n        else {\n            _this.label_ = label;\n            _this.label_.classList.add(compassClassName);\n        }\n        var tipLabel = options.tipLabel ? options.tipLabel : 'Reset rotation';\n        var button = document.createElement('button');\n        button.className = className + '-reset';\n        button.setAttribute('type', 'button');\n        button.title = tipLabel;\n        button.appendChild(_this.label_);\n        button.addEventListener(EventType.CLICK, _this.handleClick_.bind(_this), false);\n        var cssClasses = className + ' ' + CLASS_UNSELECTABLE + ' ' + CLASS_CONTROL;\n        var element = _this.element;\n        element.className = cssClasses;\n        element.appendChild(button);\n        _this.callResetNorth_ = options.resetNorth ? options.resetNorth : undefined;\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.autoHide_ = options.autoHide !== undefined ? options.autoHide : true;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.rotation_ = undefined;\n        if (_this.autoHide_) {\n            _this.element.classList.add(CLASS_HIDDEN);\n        }\n        return _this;\n    }\n    /**\n     * @param {MouseEvent} event The event to handle\n     * @private\n     */\n    Rotate.prototype.handleClick_ = function (event) {\n        event.preventDefault();\n        if (this.callResetNorth_ !== undefined) {\n            this.callResetNorth_();\n        }\n        else {\n            this.resetNorth_();\n        }\n    };\n    /**\n     * @private\n     */\n    Rotate.prototype.resetNorth_ = function () {\n        var map = this.getMap();\n        var view = map.getView();\n        if (!view) {\n            // the map does not have a view, so we can't act\n            // upon it\n            return;\n        }\n        var rotation = view.getRotation();\n        if (rotation !== undefined) {\n            if (this.duration_ > 0 && rotation % (2 * Math.PI) !== 0) {\n                view.animate({\n                    rotation: 0,\n                    duration: this.duration_,\n                    easing: easeOut,\n                });\n            }\n            else {\n                view.setRotation(0);\n            }\n        }\n    };\n    /**\n     * Update the rotate control element.\n     * @param {import(\"../MapEvent.js\").default} mapEvent Map event.\n     * @override\n     */\n    Rotate.prototype.render = function (mapEvent) {\n        var frameState = mapEvent.frameState;\n        if (!frameState) {\n            return;\n        }\n        var rotation = frameState.viewState.rotation;\n        if (rotation != this.rotation_) {\n            var transform = 'rotate(' + rotation + 'rad)';\n            if (this.autoHide_) {\n                var contains = this.element.classList.contains(CLASS_HIDDEN);\n                if (!contains && rotation === 0) {\n                    this.element.classList.add(CLASS_HIDDEN);\n                }\n                else if (contains && rotation !== 0) {\n                    this.element.classList.remove(CLASS_HIDDEN);\n                }\n            }\n            this.label_.style.transform = transform;\n        }\n        this.rotation_ = rotation;\n    };\n    return Rotate;\n}(Control));\nexport default Rotate;\n//# sourceMappingURL=Rotate.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/control/Zoom\n */\nimport Control from './Control.js';\nimport EventType from '../events/EventType.js';\nimport { CLASS_CONTROL, CLASS_UNSELECTABLE } from '../css.js';\nimport { easeOut } from '../easing.js';\n/**\n * @typedef {Object} Options\n * @property {number} [duration=250] Animation duration in milliseconds.\n * @property {string} [className='ol-zoom'] CSS class name.\n * @property {string} [zoomInClassName=className + '-in'] CSS class name for the zoom-in button.\n * @property {string} [zoomOutClassName=className + '-out'] CSS class name for the zoom-out button.\n * @property {string|HTMLElement} [zoomInLabel='+'] Text label to use for the zoom-in\n * button. Instead of text, also an element (e.g. a `span` element) can be used.\n * @property {string|HTMLElement} [zoomOutLabel='–'] Text label to use for the zoom-out button.\n * Instead of text, also an element (e.g. a `span` element) can be used.\n * @property {string} [zoomInTipLabel='Zoom in'] Text label to use for the button tip.\n * @property {string} [zoomOutTipLabel='Zoom out'] Text label to use for the button tip.\n * @property {number} [delta=1] The zoom delta applied on each click.\n * @property {HTMLElement|string} [target] Specify a target if you want the control to be\n * rendered outside of the map's viewport.\n */\n/**\n * @classdesc\n * A control with 2 buttons, one for zoom in and one for zoom out.\n * This control is one of the default controls of a map. To style this control\n * use css selectors `.ol-zoom-in` and `.ol-zoom-out`.\n *\n * @api\n */\nvar Zoom = /** @class */ (function (_super) {\n    __extends(Zoom, _super);\n    /**\n     * @param {Options} [opt_options] Zoom options.\n     */\n    function Zoom(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            element: document.createElement('div'),\n            target: options.target,\n        }) || this;\n        var className = options.className !== undefined ? options.className : 'ol-zoom';\n        var delta = options.delta !== undefined ? options.delta : 1;\n        var zoomInClassName = options.zoomInClassName !== undefined\n            ? options.zoomInClassName\n            : className + '-in';\n        var zoomOutClassName = options.zoomOutClassName !== undefined\n            ? options.zoomOutClassName\n            : className + '-out';\n        var zoomInLabel = options.zoomInLabel !== undefined ? options.zoomInLabel : '+';\n        var zoomOutLabel = options.zoomOutLabel !== undefined ? options.zoomOutLabel : '\\u2013';\n        var zoomInTipLabel = options.zoomInTipLabel !== undefined ? options.zoomInTipLabel : 'Zoom in';\n        var zoomOutTipLabel = options.zoomOutTipLabel !== undefined\n            ? options.zoomOutTipLabel\n            : 'Zoom out';\n        var inElement = document.createElement('button');\n        inElement.className = zoomInClassName;\n        inElement.setAttribute('type', 'button');\n        inElement.title = zoomInTipLabel;\n        inElement.appendChild(typeof zoomInLabel === 'string'\n            ? document.createTextNode(zoomInLabel)\n            : zoomInLabel);\n        inElement.addEventListener(EventType.CLICK, _this.handleClick_.bind(_this, delta), false);\n        var outElement = document.createElement('button');\n        outElement.className = zoomOutClassName;\n        outElement.setAttribute('type', 'button');\n        outElement.title = zoomOutTipLabel;\n        outElement.appendChild(typeof zoomOutLabel === 'string'\n            ? document.createTextNode(zoomOutLabel)\n            : zoomOutLabel);\n        outElement.addEventListener(EventType.CLICK, _this.handleClick_.bind(_this, -delta), false);\n        var cssClasses = className + ' ' + CLASS_UNSELECTABLE + ' ' + CLASS_CONTROL;\n        var element = _this.element;\n        element.className = cssClasses;\n        element.appendChild(inElement);\n        element.appendChild(outElement);\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        return _this;\n    }\n    /**\n     * @param {number} delta Zoom delta.\n     * @param {MouseEvent} event The event to handle\n     * @private\n     */\n    Zoom.prototype.handleClick_ = function (delta, event) {\n        event.preventDefault();\n        this.zoomByDelta_(delta);\n    };\n    /**\n     * @param {number} delta Zoom delta.\n     * @private\n     */\n    Zoom.prototype.zoomByDelta_ = function (delta) {\n        var map = this.getMap();\n        var view = map.getView();\n        if (!view) {\n            // the map does not have a view, so we can't act\n            // upon it\n            return;\n        }\n        var currentZoom = view.getZoom();\n        if (currentZoom !== undefined) {\n            var newZoom = view.getConstrainedZoom(currentZoom + delta);\n            if (this.duration_ > 0) {\n                if (view.getAnimating()) {\n                    view.cancelAnimations();\n                }\n                view.animate({\n                    zoom: newZoom,\n                    duration: this.duration_,\n                    easing: easeOut,\n                });\n            }\n            else {\n                view.setZoom(newZoom);\n            }\n        }\n    };\n    return Zoom;\n}(Control));\nexport default Zoom;\n//# sourceMappingURL=Zoom.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/control/ScaleLine\n */\nimport Control from './Control.js';\nimport ProjUnits from '../proj/Units.js';\nimport { CLASS_UNSELECTABLE } from '../css.js';\nimport { METERS_PER_UNIT, getPointResolution } from '../proj.js';\nimport { assert } from '../asserts.js';\n/**\n * @type {string}\n */\nvar UNITS_PROP = 'units';\n/**\n * Units for the scale line. Supported values are `'degrees'`, `'imperial'`,\n * `'nautical'`, `'metric'`, `'us'`.\n * @enum {string}\n */\nexport var Units = {\n    DEGREES: 'degrees',\n    IMPERIAL: 'imperial',\n    NAUTICAL: 'nautical',\n    METRIC: 'metric',\n    US: 'us',\n};\n/**\n * @const\n * @type {Array<number>}\n */\nvar LEADING_DIGITS = [1, 2, 5];\n/**\n * @const\n * @type {number}\n */\nvar DEFAULT_DPI = 25.4 / 0.28;\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:units', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types\n *     |'change:units', Return>} ScaleLineOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-scale-line'] CSS Class name.\n * @property {number} [minWidth=64] Minimum width in pixels at the OGC default dpi. The width will be\n * adjusted to match the dpi used.\n * @property {function(import(\"../MapEvent.js\").default):void} [render] Function called when the control\n * should be re-rendered. This is called in a `requestAnimationFrame` callback.\n * @property {HTMLElement|string} [target] Specify a target if you want the control\n * to be rendered outside of the map's viewport.\n * @property {import(\"./ScaleLine.js\").Units|string} [units='metric'] Units.\n * @property {boolean} [bar=false] Render scalebars instead of a line.\n * @property {number} [steps=4] Number of steps the scalebar should use. Use even numbers\n * for best results. Only applies when `bar` is `true`.\n * @property {boolean} [text=false] Render the text scale above of the scalebar. Only applies\n * when `bar` is `true`.\n * @property {number|undefined} [dpi=undefined] dpi of output device such as printer. Only applies\n * when `bar` is `true`. If undefined the OGC default screen pixel size of 0.28mm will be assumed.\n */\n/**\n * @classdesc\n * A control displaying rough y-axis distances, calculated for the center of the\n * viewport. For conformal projections (e.g. EPSG:3857, the default view\n * projection in OpenLayers), the scale is valid for all directions.\n * No scale line will be shown when the y-axis distance of a pixel at the\n * viewport center cannot be calculated in the view projection.\n * By default the scale line will show in the bottom left portion of the map,\n * but this can be changed by using the css selector `.ol-scale-line`.\n * When specifying `bar` as `true`, a scalebar will be rendered instead\n * of a scaleline.\n *\n * @api\n */\nvar ScaleLine = /** @class */ (function (_super) {\n    __extends(ScaleLine, _super);\n    /**\n     * @param {Options} [opt_options] Scale line options.\n     */\n    function ScaleLine(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var className = options.className !== undefined\n            ? options.className\n            : options.bar\n                ? 'ol-scale-bar'\n                : 'ol-scale-line';\n        _this = _super.call(this, {\n            element: document.createElement('div'),\n            render: options.render,\n            target: options.target,\n        }) || this;\n        /***\n         * @type {ScaleLineOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ScaleLineOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ScaleLineOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {HTMLElement}\n         */\n        _this.innerElement_ = document.createElement('div');\n        _this.innerElement_.className = className + '-inner';\n        _this.element.className = className + ' ' + CLASS_UNSELECTABLE;\n        _this.element.appendChild(_this.innerElement_);\n        /**\n         * @private\n         * @type {?import(\"../View.js\").State}\n         */\n        _this.viewState_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.minWidth_ = options.minWidth !== undefined ? options.minWidth : 64;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderedVisible_ = false;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.renderedWidth_ = undefined;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.renderedHTML_ = '';\n        _this.addChangeListener(UNITS_PROP, _this.handleUnitsChanged_);\n        _this.setUnits(options.units || Units.METRIC);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.scaleBar_ = options.bar || false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.scaleBarSteps_ = options.steps || 4;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.scaleBarText_ = options.text || false;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.dpi_ = options.dpi || undefined;\n        return _this;\n    }\n    /**\n     * Return the units to use in the scale line.\n     * @return {import(\"./ScaleLine.js\").Units} The units\n     * to use in the scale line.\n     * @observable\n     * @api\n     */\n    ScaleLine.prototype.getUnits = function () {\n        return this.get(UNITS_PROP);\n    };\n    /**\n     * @private\n     */\n    ScaleLine.prototype.handleUnitsChanged_ = function () {\n        this.updateElement_();\n    };\n    /**\n     * Set the units to use in the scale line.\n     * @param {import(\"./ScaleLine.js\").Units} units The units to use in the scale line.\n     * @observable\n     * @api\n     */\n    ScaleLine.prototype.setUnits = function (units) {\n        this.set(UNITS_PROP, units);\n    };\n    /**\n     * Specify the dpi of output device such as printer.\n     * @param {number|undefined} dpi The dpi of output device.\n     * @api\n     */\n    ScaleLine.prototype.setDpi = function (dpi) {\n        this.dpi_ = dpi;\n    };\n    /**\n     * @private\n     */\n    ScaleLine.prototype.updateElement_ = function () {\n        var viewState = this.viewState_;\n        if (!viewState) {\n            if (this.renderedVisible_) {\n                this.element.style.display = 'none';\n                this.renderedVisible_ = false;\n            }\n            return;\n        }\n        var center = viewState.center;\n        var projection = viewState.projection;\n        var units = this.getUnits();\n        var pointResolutionUnits = units == Units.DEGREES ? ProjUnits.DEGREES : ProjUnits.METERS;\n        var pointResolution = getPointResolution(projection, viewState.resolution, center, pointResolutionUnits);\n        var minWidth = (this.minWidth_ * (this.dpi_ || DEFAULT_DPI)) / DEFAULT_DPI;\n        var nominalCount = minWidth * pointResolution;\n        var suffix = '';\n        if (units == Units.DEGREES) {\n            var metersPerDegree = METERS_PER_UNIT[ProjUnits.DEGREES];\n            nominalCount *= metersPerDegree;\n            if (nominalCount < metersPerDegree / 60) {\n                suffix = '\\u2033'; // seconds\n                pointResolution *= 3600;\n            }\n            else if (nominalCount < metersPerDegree) {\n                suffix = '\\u2032'; // minutes\n                pointResolution *= 60;\n            }\n            else {\n                suffix = '\\u00b0'; // degrees\n            }\n        }\n        else if (units == Units.IMPERIAL) {\n            if (nominalCount < 0.9144) {\n                suffix = 'in';\n                pointResolution /= 0.0254;\n            }\n            else if (nominalCount < 1609.344) {\n                suffix = 'ft';\n                pointResolution /= 0.3048;\n            }\n            else {\n                suffix = 'mi';\n                pointResolution /= 1609.344;\n            }\n        }\n        else if (units == Units.NAUTICAL) {\n            pointResolution /= 1852;\n            suffix = 'nm';\n        }\n        else if (units == Units.METRIC) {\n            if (nominalCount < 0.001) {\n                suffix = 'μm';\n                pointResolution *= 1000000;\n            }\n            else if (nominalCount < 1) {\n                suffix = 'mm';\n                pointResolution *= 1000;\n            }\n            else if (nominalCount < 1000) {\n                suffix = 'm';\n            }\n            else {\n                suffix = 'km';\n                pointResolution /= 1000;\n            }\n        }\n        else if (units == Units.US) {\n            if (nominalCount < 0.9144) {\n                suffix = 'in';\n                pointResolution *= 39.37;\n            }\n            else if (nominalCount < 1609.344) {\n                suffix = 'ft';\n                pointResolution /= 0.30480061;\n            }\n            else {\n                suffix = 'mi';\n                pointResolution /= 1609.3472;\n            }\n        }\n        else {\n            assert(false, 33); // Invalid units\n        }\n        var i = 3 * Math.floor(Math.log(minWidth * pointResolution) / Math.log(10));\n        var count, width, decimalCount;\n        while (true) {\n            decimalCount = Math.floor(i / 3);\n            var decimal = Math.pow(10, decimalCount);\n            count = LEADING_DIGITS[((i % 3) + 3) % 3] * decimal;\n            width = Math.round(count / pointResolution);\n            if (isNaN(width)) {\n                this.element.style.display = 'none';\n                this.renderedVisible_ = false;\n                return;\n            }\n            else if (width >= minWidth) {\n                break;\n            }\n            ++i;\n        }\n        var html;\n        if (this.scaleBar_) {\n            html = this.createScaleBar(width, count, suffix);\n        }\n        else {\n            html = count.toFixed(decimalCount < 0 ? -decimalCount : 0) + ' ' + suffix;\n        }\n        if (this.renderedHTML_ != html) {\n            this.innerElement_.innerHTML = html;\n            this.renderedHTML_ = html;\n        }\n        if (this.renderedWidth_ != width) {\n            this.innerElement_.style.width = width + 'px';\n            this.renderedWidth_ = width;\n        }\n        if (!this.renderedVisible_) {\n            this.element.style.display = '';\n            this.renderedVisible_ = true;\n        }\n    };\n    /**\n     * @private\n     * @param {number} width The current width of the scalebar.\n     * @param {number} scale The current scale.\n     * @param {string} suffix The suffix to append to the scale text.\n     * @return {string} The stringified HTML of the scalebar.\n     */\n    ScaleLine.prototype.createScaleBar = function (width, scale, suffix) {\n        var mapScale = '1 : ' + Math.round(this.getScaleForResolution()).toLocaleString();\n        var scaleSteps = [];\n        var stepWidth = width / this.scaleBarSteps_;\n        var backgroundColor = '#ffffff';\n        for (var i = 0; i < this.scaleBarSteps_; i++) {\n            if (i === 0) {\n                // create the first marker at position 0\n                scaleSteps.push(this.createMarker('absolute', i));\n            }\n            scaleSteps.push('<div>' +\n                '<div ' +\n                'class=\"ol-scale-singlebar\" ' +\n                'style=' +\n                '\"width: ' +\n                stepWidth +\n                'px;' +\n                'background-color: ' +\n                backgroundColor +\n                ';\"' +\n                '>' +\n                '</div>' +\n                this.createMarker('relative', i) +\n                /*render text every second step, except when only 2 steps */\n                (i % 2 === 0 || this.scaleBarSteps_ === 2\n                    ? this.createStepText(i, width, false, scale, suffix)\n                    : '') +\n                '</div>');\n            if (i === this.scaleBarSteps_ - 1) {\n                {\n                    /*render text at the end */\n                }\n                scaleSteps.push(this.createStepText(i + 1, width, true, scale, suffix));\n            }\n            // switch colors of steps between black and white\n            if (backgroundColor === '#ffffff') {\n                backgroundColor = '#000000';\n            }\n            else {\n                backgroundColor = '#ffffff';\n            }\n        }\n        var scaleBarText;\n        if (this.scaleBarText_) {\n            scaleBarText =\n                '<div ' +\n                    'class=\"ol-scale-text\" ' +\n                    'style=\"width: ' +\n                    width +\n                    'px;\">' +\n                    mapScale +\n                    '</div>';\n        }\n        else {\n            scaleBarText = '';\n        }\n        var container = '<div ' +\n            'style=\"display: flex;\">' +\n            scaleBarText +\n            scaleSteps.join('') +\n            '</div>';\n        return container;\n    };\n    /**\n     * Creates a marker at given position\n     * @param {string} position The position, absolute or relative\n     * @param {number} i The iterator\n     * @return {string} The stringified div containing the marker\n     */\n    ScaleLine.prototype.createMarker = function (position, i) {\n        var top = position === 'absolute' ? 3 : -10;\n        return ('<div ' +\n            'class=\"ol-scale-step-marker\" ' +\n            'style=\"position: ' +\n            position +\n            ';' +\n            'top: ' +\n            top +\n            'px;\"' +\n            '></div>');\n    };\n    /**\n     * Creates the label for a marker marker at given position\n     * @param {number} i The iterator\n     * @param {number} width The width the scalebar will currently use\n     * @param {boolean} isLast Flag indicating if we add the last step text\n     * @param {number} scale The current scale for the whole scalebar\n     * @param {string} suffix The suffix for the scale\n     * @return {string} The stringified div containing the step text\n     */\n    ScaleLine.prototype.createStepText = function (i, width, isLast, scale, suffix) {\n        var length = i === 0 ? 0 : Math.round((scale / this.scaleBarSteps_) * i * 100) / 100;\n        var lengthString = length + (i === 0 ? '' : ' ' + suffix);\n        var margin = i === 0 ? -3 : (width / this.scaleBarSteps_) * -1;\n        var minWidth = i === 0 ? 0 : (width / this.scaleBarSteps_) * 2;\n        return ('<div ' +\n            'class=\"ol-scale-step-text\" ' +\n            'style=\"' +\n            'margin-left: ' +\n            margin +\n            'px;' +\n            'text-align: ' +\n            (i === 0 ? 'left' : 'center') +\n            '; ' +\n            'min-width: ' +\n            minWidth +\n            'px;' +\n            'left: ' +\n            (isLast ? width + 'px' : 'unset') +\n            ';\"' +\n            '>' +\n            lengthString +\n            '</div>');\n    };\n    /**\n     * Returns the appropriate scale for the given resolution and units.\n     * @return {number} The appropriate scale.\n     */\n    ScaleLine.prototype.getScaleForResolution = function () {\n        var resolution = getPointResolution(this.viewState_.projection, this.viewState_.resolution, this.viewState_.center);\n        var dpi = this.dpi_ || DEFAULT_DPI;\n        var mpu = this.viewState_.projection.getMetersPerUnit();\n        var inchesPerMeter = 1000 / 25.4;\n        return parseFloat(resolution.toString()) * mpu * inchesPerMeter * dpi;\n    };\n    /**\n     * Update the scale line element.\n     * @param {import(\"../MapEvent.js\").default} mapEvent Map event.\n     * @override\n     */\n    ScaleLine.prototype.render = function (mapEvent) {\n        var frameState = mapEvent.frameState;\n        if (!frameState) {\n            this.viewState_ = null;\n        }\n        else {\n            this.viewState_ = frameState.viewState;\n        }\n        this.updateElement_();\n    };\n    return ScaleLine;\n}(Control));\nexport default ScaleLine;\n//# sourceMappingURL=ScaleLine.js.map","/**\n * @module ol/interaction/Property\n */\n/**\n * @enum {string}\n */\nexport default {\n    ACTIVE: 'active',\n};\n//# sourceMappingURL=Property.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Interaction\n */\nimport BaseObject from '../Object.js';\nimport InteractionProperty from './Property.js';\nimport { easeOut, linear } from '../easing.js';\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active', Return>} InteractionOnSignature\n */\n/**\n * Object literal with config options for interactions.\n * @typedef {Object} InteractionOptions\n * @property {function(import(\"../MapBrowserEvent.js\").default):boolean} handleEvent\n * Method called by the map to notify the interaction that a browser event was\n * dispatched to the map. If the function returns a falsy value, propagation of\n * the event to other interactions in the map's interactions chain will be\n * prevented (this includes functions with no explicit return). The interactions\n * are traversed in reverse order of the interactions collection of the map.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * User actions that change the state of the map. Some are similar to controls,\n * but are not associated with a DOM element.\n * For example, {@link module:ol/interaction/KeyboardZoom~KeyboardZoom} is\n * functionally the same as {@link module:ol/control/Zoom~Zoom}, but triggered\n * by a keyboard event not a button element event.\n * Although interactions do not have a DOM element, some of them do render\n * vectors and so are visible on the screen.\n * @api\n */\nvar Interaction = /** @class */ (function (_super) {\n    __extends(Interaction, _super);\n    /**\n     * @param {InteractionOptions} [opt_options] Options.\n     */\n    function Interaction(opt_options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {InteractionOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {InteractionOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {InteractionOnSignature<void>}\n         */\n        _this.un;\n        if (opt_options && opt_options.handleEvent) {\n            _this.handleEvent = opt_options.handleEvent;\n        }\n        /**\n         * @private\n         * @type {import(\"../PluggableMap.js\").default}\n         */\n        _this.map_ = null;\n        _this.setActive(true);\n        return _this;\n    }\n    /**\n     * Return whether the interaction is currently active.\n     * @return {boolean} `true` if the interaction is active, `false` otherwise.\n     * @observable\n     * @api\n     */\n    Interaction.prototype.getActive = function () {\n        return /** @type {boolean} */ (this.get(InteractionProperty.ACTIVE));\n    };\n    /**\n     * Get the map associated with this interaction.\n     * @return {import(\"../PluggableMap.js\").default} Map.\n     * @api\n     */\n    Interaction.prototype.getMap = function () {\n        return this.map_;\n    };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event}.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @api\n     */\n    Interaction.prototype.handleEvent = function (mapBrowserEvent) {\n        return true;\n    };\n    /**\n     * Activate or deactivate the interaction.\n     * @param {boolean} active Active.\n     * @observable\n     * @api\n     */\n    Interaction.prototype.setActive = function (active) {\n        this.set(InteractionProperty.ACTIVE, active);\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Interaction.prototype.setMap = function (map) {\n        this.map_ = map;\n    };\n    return Interaction;\n}(BaseObject));\n/**\n * @param {import(\"../View.js\").default} view View.\n * @param {import(\"../coordinate.js\").Coordinate} delta Delta.\n * @param {number} [opt_duration] Duration.\n */\nexport function pan(view, delta, opt_duration) {\n    var currentCenter = view.getCenterInternal();\n    if (currentCenter) {\n        var center = [currentCenter[0] + delta[0], currentCenter[1] + delta[1]];\n        view.animateInternal({\n            duration: opt_duration !== undefined ? opt_duration : 250,\n            easing: linear,\n            center: view.getConstrainedCenter(center),\n        });\n    }\n}\n/**\n * @param {import(\"../View.js\").default} view View.\n * @param {number} delta Delta from previous zoom level.\n * @param {import(\"../coordinate.js\").Coordinate} [opt_anchor] Anchor coordinate in the user projection.\n * @param {number} [opt_duration] Duration.\n */\nexport function zoomByDelta(view, delta, opt_anchor, opt_duration) {\n    var currentZoom = view.getZoom();\n    if (currentZoom === undefined) {\n        return;\n    }\n    var newZoom = view.getConstrainedZoom(currentZoom + delta);\n    var newResolution = view.getResolutionForZoom(newZoom);\n    if (view.getAnimating()) {\n        view.cancelAnimations();\n    }\n    view.animate({\n        resolution: newResolution,\n        anchor: opt_anchor,\n        duration: opt_duration !== undefined ? opt_duration : 250,\n        easing: easeOut,\n    });\n}\nexport default Interaction;\n//# sourceMappingURL=Interaction.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DoubleClickZoom\n */\nimport Interaction, { zoomByDelta } from './Interaction.js';\nimport MapBrowserEventType from '../MapBrowserEventType.js';\n/**\n * @typedef {Object} Options\n * @property {number} [duration=250] Animation duration in milliseconds.\n * @property {number} [delta=1] The zoom delta applied on each double click.\n */\n/**\n * @classdesc\n * Allows the user to zoom by double-clicking on the map.\n * @api\n */\nvar DoubleClickZoom = /** @class */ (function (_super) {\n    __extends(DoubleClickZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DoubleClickZoom(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.delta_ = options.delta ? options.delta : 1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        return _this;\n    }\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} (if it was a\n     * doubleclick) and eventually zooms the map.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     */\n    DoubleClickZoom.prototype.handleEvent = function (mapBrowserEvent) {\n        var stopEvent = false;\n        if (mapBrowserEvent.type == MapBrowserEventType.DBLCLICK) {\n            var browserEvent = /** @type {MouseEvent} */ (mapBrowserEvent.originalEvent);\n            var map = mapBrowserEvent.map;\n            var anchor = mapBrowserEvent.coordinate;\n            var delta = browserEvent.shiftKey ? -this.delta_ : this.delta_;\n            var view = map.getView();\n            zoomByDelta(view, delta, anchor, this.duration_);\n            browserEvent.preventDefault();\n            stopEvent = true;\n        }\n        return !stopEvent;\n    };\n    return DoubleClickZoom;\n}(Interaction));\nexport default DoubleClickZoom;\n//# sourceMappingURL=DoubleClickZoom.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Pointer\n */\nimport Interaction from './Interaction.js';\nimport MapBrowserEventType from '../MapBrowserEventType.js';\nimport { getValues } from '../obj.js';\n/**\n * @typedef {Object} Options\n * @property {function(import(\"../MapBrowserEvent.js\").default):boolean} [handleDownEvent]\n * Function handling \"down\" events. If the function returns `true` then a drag\n * sequence is started.\n * @property {function(import(\"../MapBrowserEvent.js\").default):void} [handleDragEvent]\n * Function handling \"drag\" events. This function is called on \"move\" events\n * during a drag sequence.\n * @property {function(import(\"../MapBrowserEvent.js\").default):boolean} [handleEvent]\n * Method called by the map to notify the interaction that a browser event was\n * dispatched to the map. The function may return `false` to prevent the\n * propagation of the event to other interactions in the map's interactions\n * chain.\n * @property {function(import(\"../MapBrowserEvent.js\").default):void} [handleMoveEvent]\n * Function handling \"move\" events. This function is called on \"move\" events.\n * This functions is also called during a drag sequence, so during a drag\n * sequence both the `handleDragEvent` function and this function are called.\n * If `handleDownEvent` is defined and it returns true this function will not\n * be called during a drag sequence.\n * @property {function(import(\"../MapBrowserEvent.js\").default):boolean} [handleUpEvent]\n *  Function handling \"up\" events. If the function returns `false` then the\n * current drag sequence is stopped.\n * @property {function(boolean):boolean} [stopDown]\n * Should the down event be propagated to other interactions, or should be\n * stopped?\n */\n/**\n * @classdesc\n * Base class that calls user-defined functions on `down`, `move` and `up`\n * events. This class also manages \"drag sequences\".\n *\n * When the `handleDownEvent` user function returns `true` a drag sequence is\n * started. During a drag sequence the `handleDragEvent` user function is\n * called on `move` events. The drag sequence ends when the `handleUpEvent`\n * user function is called and returns `false`.\n * @api\n */\nvar PointerInteraction = /** @class */ (function (_super) {\n    __extends(PointerInteraction, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function PointerInteraction(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, \n        /** @type {import(\"./Interaction.js\").InteractionOptions} */ (options)) || this;\n        if (options.handleDownEvent) {\n            _this.handleDownEvent = options.handleDownEvent;\n        }\n        if (options.handleDragEvent) {\n            _this.handleDragEvent = options.handleDragEvent;\n        }\n        if (options.handleMoveEvent) {\n            _this.handleMoveEvent = options.handleMoveEvent;\n        }\n        if (options.handleUpEvent) {\n            _this.handleUpEvent = options.handleUpEvent;\n        }\n        if (options.stopDown) {\n            _this.stopDown = options.stopDown;\n        }\n        /**\n         * @type {boolean}\n         * @protected\n         */\n        _this.handlingDownUpSequence = false;\n        /**\n         * @type {!Object<string, PointerEvent>}\n         * @private\n         */\n        _this.trackedPointers_ = {};\n        /**\n         * @type {Array<PointerEvent>}\n         * @protected\n         */\n        _this.targetPointers = [];\n        return _this;\n    }\n    /**\n     * Returns the current number of pointers involved in the interaction,\n     * e.g. `2` when two fingers are used.\n     * @return {number} The number of pointers.\n     * @api\n     */\n    PointerInteraction.prototype.getPointerCount = function () {\n        return this.targetPointers.length;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     * @protected\n     */\n    PointerInteraction.prototype.handleDownEvent = function (mapBrowserEvent) {\n        return false;\n    };\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @protected\n     */\n    PointerInteraction.prototype.handleDragEvent = function (mapBrowserEvent) { };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} and may call into\n     * other functions, if event sequences like e.g. 'drag' or 'down-up' etc. are\n     * detected.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @api\n     */\n    PointerInteraction.prototype.handleEvent = function (mapBrowserEvent) {\n        if (!mapBrowserEvent.originalEvent) {\n            return true;\n        }\n        var stopEvent = false;\n        this.updateTrackedPointers_(mapBrowserEvent);\n        if (this.handlingDownUpSequence) {\n            if (mapBrowserEvent.type == MapBrowserEventType.POINTERDRAG) {\n                this.handleDragEvent(mapBrowserEvent);\n                // prevent page scrolling during dragging\n                mapBrowserEvent.originalEvent.preventDefault();\n            }\n            else if (mapBrowserEvent.type == MapBrowserEventType.POINTERUP) {\n                var handledUp = this.handleUpEvent(mapBrowserEvent);\n                this.handlingDownUpSequence =\n                    handledUp && this.targetPointers.length > 0;\n            }\n        }\n        else {\n            if (mapBrowserEvent.type == MapBrowserEventType.POINTERDOWN) {\n                var handled = this.handleDownEvent(mapBrowserEvent);\n                this.handlingDownUpSequence = handled;\n                stopEvent = this.stopDown(handled);\n            }\n            else if (mapBrowserEvent.type == MapBrowserEventType.POINTERMOVE) {\n                this.handleMoveEvent(mapBrowserEvent);\n            }\n        }\n        return !stopEvent;\n    };\n    /**\n     * Handle pointer move events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @protected\n     */\n    PointerInteraction.prototype.handleMoveEvent = function (mapBrowserEvent) { };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     * @protected\n     */\n    PointerInteraction.prototype.handleUpEvent = function (mapBrowserEvent) {\n        return false;\n    };\n    /**\n     * This function is used to determine if \"down\" events should be propagated\n     * to other interactions or should be stopped.\n     * @param {boolean} handled Was the event handled by the interaction?\n     * @return {boolean} Should the `down` event be stopped?\n     */\n    PointerInteraction.prototype.stopDown = function (handled) {\n        return handled;\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @private\n     */\n    PointerInteraction.prototype.updateTrackedPointers_ = function (mapBrowserEvent) {\n        if (isPointerDraggingEvent(mapBrowserEvent)) {\n            var event_1 = mapBrowserEvent.originalEvent;\n            var id = event_1.pointerId.toString();\n            if (mapBrowserEvent.type == MapBrowserEventType.POINTERUP) {\n                delete this.trackedPointers_[id];\n            }\n            else if (mapBrowserEvent.type == MapBrowserEventType.POINTERDOWN) {\n                this.trackedPointers_[id] = event_1;\n            }\n            else if (id in this.trackedPointers_) {\n                // update only when there was a pointerdown event for this pointer\n                this.trackedPointers_[id] = event_1;\n            }\n            this.targetPointers = getValues(this.trackedPointers_);\n        }\n    };\n    return PointerInteraction;\n}(Interaction));\n/**\n * @param {Array<PointerEvent>} pointerEvents List of events.\n * @return {import(\"../pixel.js\").Pixel} Centroid pixel.\n */\nexport function centroid(pointerEvents) {\n    var length = pointerEvents.length;\n    var clientX = 0;\n    var clientY = 0;\n    for (var i = 0; i < length; i++) {\n        clientX += pointerEvents[i].clientX;\n        clientY += pointerEvents[i].clientY;\n    }\n    return [clientX / length, clientY / length];\n}\n/**\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n * @return {boolean} Whether the event is a pointerdown, pointerdrag\n *     or pointerup event.\n */\nfunction isPointerDraggingEvent(mapBrowserEvent) {\n    var type = mapBrowserEvent.type;\n    return (type === MapBrowserEventType.POINTERDOWN ||\n        type === MapBrowserEventType.POINTERDRAG ||\n        type === MapBrowserEventType.POINTERUP);\n}\nexport default PointerInteraction;\n//# sourceMappingURL=Pointer.js.map","/**\n * @module ol/events/condition\n */\nimport MapBrowserEventType from '../MapBrowserEventType.js';\nimport { FALSE, TRUE } from '../functions.js';\nimport { MAC, WEBKIT } from '../has.js';\nimport { assert } from '../asserts.js';\n/**\n * A function that takes an {@link module:ol/MapBrowserEvent} and returns a\n * `{boolean}`. If the condition is met, true should be returned.\n *\n * @typedef {function(this: ?, import(\"../MapBrowserEvent.js\").default): boolean} Condition\n */\n/**\n * Creates a condition function that passes when all provided conditions pass.\n * @param {...Condition} var_args Conditions to check.\n * @return {Condition} Condition function.\n */\nexport function all(var_args) {\n    var conditions = arguments;\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     * @return {boolean} All conditions passed.\n     */\n    return function (event) {\n        var pass = true;\n        for (var i = 0, ii = conditions.length; i < ii; ++i) {\n            pass = pass && conditions[i](event);\n            if (!pass) {\n                break;\n            }\n        }\n        return pass;\n    };\n}\n/**\n * Return `true` if only the alt-key is pressed, `false` otherwise (e.g. when\n * additionally the shift-key is pressed).\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if only the alt key is pressed.\n * @api\n */\nexport var altKeyOnly = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    return (originalEvent.altKey &&\n        !(originalEvent.metaKey || originalEvent.ctrlKey) &&\n        !originalEvent.shiftKey);\n};\n/**\n * Return `true` if only the alt-key and shift-key is pressed, `false` otherwise\n * (e.g. when additionally the platform-modifier-key is pressed).\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if only the alt and shift keys are pressed.\n * @api\n */\nexport var altShiftKeysOnly = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    return (originalEvent.altKey &&\n        !(originalEvent.metaKey || originalEvent.ctrlKey) &&\n        originalEvent.shiftKey);\n};\n/**\n * Return `true` if the map has the focus. This condition requires a map target\n * element with a `tabindex` attribute, e.g. `<div id=\"map\" tabindex=\"1\">`.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} event Map browser event.\n * @return {boolean} The map has the focus.\n * @api\n */\nexport var focus = function (event) {\n    var targetElement = event.map.getTargetElement();\n    var activeElement = event.map.getOwnerDocument().activeElement;\n    return targetElement.contains(activeElement);\n};\n/**\n * Return `true` if the map has the focus or no 'tabindex' attribute set.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} event Map browser event.\n * @return {boolean} The map container has the focus or no 'tabindex' attribute.\n */\nexport var focusWithTabindex = function (event) {\n    return event.map.getTargetElement().hasAttribute('tabindex')\n        ? focus(event)\n        : true;\n};\n/**\n * Return always true.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True.\n * @api\n */\nexport var always = TRUE;\n/**\n * Return `true` if the event is a `click` event, `false` otherwise.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event is a map `click` event.\n * @api\n */\nexport var click = function (mapBrowserEvent) {\n    return mapBrowserEvent.type == MapBrowserEventType.CLICK;\n};\n/**\n * Return `true` if the event has an \"action\"-producing mouse button.\n *\n * By definition, this includes left-click on windows/linux, and left-click\n * without the ctrl key on Macs.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} The result.\n */\nexport var mouseActionButton = function (mapBrowserEvent) {\n    var originalEvent = /** @type {MouseEvent} */ (mapBrowserEvent.originalEvent);\n    return originalEvent.button == 0 && !(WEBKIT && MAC && originalEvent.ctrlKey);\n};\n/**\n * Return always false.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} False.\n * @api\n */\nexport var never = FALSE;\n/**\n * Return `true` if the browser event is a `pointermove` event, `false`\n * otherwise.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the browser event is a `pointermove` event.\n * @api\n */\nexport var pointerMove = function (mapBrowserEvent) {\n    return mapBrowserEvent.type == 'pointermove';\n};\n/**\n * Return `true` if the event is a map `singleclick` event, `false` otherwise.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event is a map `singleclick` event.\n * @api\n */\nexport var singleClick = function (mapBrowserEvent) {\n    return mapBrowserEvent.type == MapBrowserEventType.SINGLECLICK;\n};\n/**\n * Return `true` if the event is a map `dblclick` event, `false` otherwise.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event is a map `dblclick` event.\n * @api\n */\nexport var doubleClick = function (mapBrowserEvent) {\n    return mapBrowserEvent.type == MapBrowserEventType.DBLCLICK;\n};\n/**\n * Return `true` if no modifier key (alt-, shift- or platform-modifier-key) is\n * pressed.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True only if there no modifier keys are pressed.\n * @api\n */\nexport var noModifierKeys = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    return (!originalEvent.altKey &&\n        !(originalEvent.metaKey || originalEvent.ctrlKey) &&\n        !originalEvent.shiftKey);\n};\n/**\n * Return `true` if only the platform-modifier-key (the meta-key on Mac,\n * ctrl-key otherwise) is pressed, `false` otherwise (e.g. when additionally\n * the shift-key is pressed).\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if only the platform modifier key is pressed.\n * @api\n */\nexport var platformModifierKeyOnly = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    return (!originalEvent.altKey &&\n        (MAC ? originalEvent.metaKey : originalEvent.ctrlKey) &&\n        !originalEvent.shiftKey);\n};\n/**\n * Return `true` if only the shift-key is pressed, `false` otherwise (e.g. when\n * additionally the alt-key is pressed).\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if only the shift key is pressed.\n * @api\n */\nexport var shiftKeyOnly = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    return (!originalEvent.altKey &&\n        !(originalEvent.metaKey || originalEvent.ctrlKey) &&\n        originalEvent.shiftKey);\n};\n/**\n * Return `true` if the target element is not editable, i.e. not a `<input>`-,\n * `<select>`- or `<textarea>`-element, `false` otherwise.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True only if the target element is not editable.\n * @api\n */\nexport var targetNotEditable = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    var tagName = /** @type {Element} */ (originalEvent.target).tagName;\n    return tagName !== 'INPUT' && tagName !== 'SELECT' && tagName !== 'TEXTAREA';\n};\n/**\n * Return `true` if the event originates from a mouse device.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event originates from a mouse device.\n * @api\n */\nexport var mouseOnly = function (mapBrowserEvent) {\n    var pointerEvent = /** @type {import(\"../MapBrowserEvent\").default} */ (mapBrowserEvent).originalEvent;\n    assert(pointerEvent !== undefined, 56); // mapBrowserEvent must originate from a pointer event\n    // see https://www.w3.org/TR/pointerevents/#widl-PointerEvent-pointerType\n    return pointerEvent.pointerType == 'mouse';\n};\n/**\n * Return `true` if the event originates from a touchable device.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event originates from a touchable device.\n * @api\n */\nexport var touchOnly = function (mapBrowserEvent) {\n    var pointerEvt = /** @type {import(\"../MapBrowserEvent\").default} */ (mapBrowserEvent).originalEvent;\n    assert(pointerEvt !== undefined, 56); // mapBrowserEvent must originate from a pointer event\n    // see https://www.w3.org/TR/pointerevents/#widl-PointerEvent-pointerType\n    return pointerEvt.pointerType === 'touch';\n};\n/**\n * Return `true` if the event originates from a digital pen.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event originates from a digital pen.\n * @api\n */\nexport var penOnly = function (mapBrowserEvent) {\n    var pointerEvt = /** @type {import(\"../MapBrowserEvent\").default} */ (mapBrowserEvent).originalEvent;\n    assert(pointerEvt !== undefined, 56); // mapBrowserEvent must originate from a pointer event\n    // see https://www.w3.org/TR/pointerevents/#widl-PointerEvent-pointerType\n    return pointerEvt.pointerType === 'pen';\n};\n/**\n * Return `true` if the event originates from a primary pointer in\n * contact with the surface or if the left mouse button is pressed.\n * See https://www.w3.org/TR/pointerevents/#button-states.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event originates from a primary pointer.\n * @api\n */\nexport var primaryAction = function (mapBrowserEvent) {\n    var pointerEvent = /** @type {import(\"../MapBrowserEvent\").default} */ (mapBrowserEvent).originalEvent;\n    assert(pointerEvent !== undefined, 56); // mapBrowserEvent must originate from a pointer event\n    return pointerEvent.isPrimary && pointerEvent.button === 0;\n};\n//# sourceMappingURL=condition.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DragPan\n */\nimport PointerInteraction, { centroid as centroidFromPointers, } from './Pointer.js';\nimport { FALSE } from '../functions.js';\nimport { all, focusWithTabindex, noModifierKeys, primaryAction, } from '../events/condition.js';\nimport { easeOut } from '../easing.js';\nimport { rotate as rotateCoordinate, scale as scaleCoordinate, } from '../coordinate.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a boolean\n * to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.noModifierKeys} and {@link module:ol/events/condition.primaryAction}.\n * @property {boolean} [onFocusOnly=false] When the map's target has a `tabindex` attribute set,\n * the interaction will only handle events when the map has the focus.\n * @property {import(\"../Kinetic.js\").default} [kinetic] Kinetic inertia to apply to the pan.\n */\n/**\n * @classdesc\n * Allows the user to pan the map by dragging the map.\n * @api\n */\nvar DragPan = /** @class */ (function (_super) {\n    __extends(DragPan, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragPan(opt_options) {\n        var _this = _super.call(this, {\n            stopDown: FALSE,\n        }) || this;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @private\n         * @type {import(\"../Kinetic.js\").default|undefined}\n         */\n        _this.kinetic_ = options.kinetic;\n        /**\n         * @type {import(\"../pixel.js\").Pixel}\n         */\n        _this.lastCentroid = null;\n        /**\n         * @type {number}\n         */\n        _this.lastPointersCount_;\n        /**\n         * @type {boolean}\n         */\n        _this.panning_ = false;\n        var condition = options.condition\n            ? options.condition\n            : all(noModifierKeys, primaryAction);\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.onFocusOnly\n            ? all(focusWithTabindex, condition)\n            : condition;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.noKinetic_ = false;\n        return _this;\n    }\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    DragPan.prototype.handleDragEvent = function (mapBrowserEvent) {\n        if (!this.panning_) {\n            this.panning_ = true;\n            this.getMap().getView().beginInteraction();\n        }\n        var targetPointers = this.targetPointers;\n        var centroid = centroidFromPointers(targetPointers);\n        if (targetPointers.length == this.lastPointersCount_) {\n            if (this.kinetic_) {\n                this.kinetic_.update(centroid[0], centroid[1]);\n            }\n            if (this.lastCentroid) {\n                var delta = [\n                    this.lastCentroid[0] - centroid[0],\n                    centroid[1] - this.lastCentroid[1],\n                ];\n                var map = mapBrowserEvent.map;\n                var view = map.getView();\n                scaleCoordinate(delta, view.getResolution());\n                rotateCoordinate(delta, view.getRotation());\n                view.adjustCenterInternal(delta);\n            }\n        }\n        else if (this.kinetic_) {\n            // reset so we don't overestimate the kinetic energy after\n            // after one finger down, tiny drag, second finger down\n            this.kinetic_.begin();\n        }\n        this.lastCentroid = centroid;\n        this.lastPointersCount_ = targetPointers.length;\n        mapBrowserEvent.originalEvent.preventDefault();\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragPan.prototype.handleUpEvent = function (mapBrowserEvent) {\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        if (this.targetPointers.length === 0) {\n            if (!this.noKinetic_ && this.kinetic_ && this.kinetic_.end()) {\n                var distance = this.kinetic_.getDistance();\n                var angle = this.kinetic_.getAngle();\n                var center = view.getCenterInternal();\n                var centerpx = map.getPixelFromCoordinateInternal(center);\n                var dest = map.getCoordinateFromPixelInternal([\n                    centerpx[0] - distance * Math.cos(angle),\n                    centerpx[1] - distance * Math.sin(angle),\n                ]);\n                view.animateInternal({\n                    center: view.getConstrainedCenter(dest),\n                    duration: 500,\n                    easing: easeOut,\n                });\n            }\n            if (this.panning_) {\n                this.panning_ = false;\n                view.endInteraction();\n            }\n            return false;\n        }\n        else {\n            if (this.kinetic_) {\n                // reset so we don't overestimate the kinetic energy after\n                // after one finger up, tiny drag, second finger up\n                this.kinetic_.begin();\n            }\n            this.lastCentroid = null;\n            return true;\n        }\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragPan.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (this.targetPointers.length > 0 && this.condition_(mapBrowserEvent)) {\n            var map = mapBrowserEvent.map;\n            var view = map.getView();\n            this.lastCentroid = null;\n            // stop any current animation\n            if (view.getAnimating()) {\n                view.cancelAnimations();\n            }\n            if (this.kinetic_) {\n                this.kinetic_.begin();\n            }\n            // No kinetic as soon as more than one pointer on the screen is\n            // detected. This is to prevent nasty pans after pinch.\n            this.noKinetic_ = this.targetPointers.length > 1;\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    return DragPan;\n}(PointerInteraction));\nexport default DragPan;\n//# sourceMappingURL=DragPan.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DragRotate\n */\nimport PointerInteraction from './Pointer.js';\nimport { FALSE } from '../functions.js';\nimport { altShiftKeysOnly, mouseActionButton, mouseOnly, } from '../events/condition.js';\nimport { disable } from '../rotationconstraint.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that takes an\n * {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a boolean\n * to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.altShiftKeysOnly}.\n * @property {number} [duration=250] Animation duration in milliseconds.\n */\n/**\n * @classdesc\n * Allows the user to rotate the map by clicking and dragging on the map,\n * normally combined with an {@link module:ol/events/condition} that limits\n * it to when the alt and shift keys are held down.\n *\n * This interaction is only supported for mouse devices.\n * @api\n */\nvar DragRotate = /** @class */ (function (_super) {\n    __extends(DragRotate, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragRotate(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            stopDown: FALSE,\n        }) || this;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : altShiftKeysOnly;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.lastAngle_ = undefined;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        return _this;\n    }\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    DragRotate.prototype.handleDragEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return;\n        }\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        if (view.getConstraints().rotation === disable) {\n            return;\n        }\n        var size = map.getSize();\n        var offset = mapBrowserEvent.pixel;\n        var theta = Math.atan2(size[1] / 2 - offset[1], offset[0] - size[0] / 2);\n        if (this.lastAngle_ !== undefined) {\n            var delta = theta - this.lastAngle_;\n            view.adjustRotationInternal(-delta);\n        }\n        this.lastAngle_ = theta;\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragRotate.prototype.handleUpEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return true;\n        }\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        view.endInteraction(this.duration_);\n        return false;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragRotate.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return false;\n        }\n        if (mouseActionButton(mapBrowserEvent) &&\n            this.condition_(mapBrowserEvent)) {\n            var map = mapBrowserEvent.map;\n            map.getView().beginInteraction();\n            this.lastAngle_ = undefined;\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    return DragRotate;\n}(PointerInteraction));\nexport default DragRotate;\n//# sourceMappingURL=DragRotate.js.map","/**\n * @module ol/render/Box\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport Disposable from '../Disposable.js';\nimport Polygon from '../geom/Polygon.js';\nvar RenderBox = /** @class */ (function (_super) {\n    __extends(RenderBox, _super);\n    /**\n     * @param {string} className CSS class name.\n     */\n    function RenderBox(className) {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {import(\"../geom/Polygon.js\").default}\n         * @private\n         */\n        _this.geometry_ = null;\n        /**\n         * @type {HTMLDivElement}\n         * @private\n         */\n        _this.element_ = document.createElement('div');\n        _this.element_.style.position = 'absolute';\n        _this.element_.style.pointerEvents = 'auto';\n        _this.element_.className = 'ol-box ' + className;\n        /**\n         * @private\n         * @type {import(\"../PluggableMap.js\").default}\n         */\n        _this.map_ = null;\n        /**\n         * @private\n         * @type {import(\"../pixel.js\").Pixel}\n         */\n        _this.startPixel_ = null;\n        /**\n         * @private\n         * @type {import(\"../pixel.js\").Pixel}\n         */\n        _this.endPixel_ = null;\n        return _this;\n    }\n    /**\n     * Clean up.\n     */\n    RenderBox.prototype.disposeInternal = function () {\n        this.setMap(null);\n    };\n    /**\n     * @private\n     */\n    RenderBox.prototype.render_ = function () {\n        var startPixel = this.startPixel_;\n        var endPixel = this.endPixel_;\n        var px = 'px';\n        var style = this.element_.style;\n        style.left = Math.min(startPixel[0], endPixel[0]) + px;\n        style.top = Math.min(startPixel[1], endPixel[1]) + px;\n        style.width = Math.abs(endPixel[0] - startPixel[0]) + px;\n        style.height = Math.abs(endPixel[1] - startPixel[1]) + px;\n    };\n    /**\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    RenderBox.prototype.setMap = function (map) {\n        if (this.map_) {\n            this.map_.getOverlayContainer().removeChild(this.element_);\n            var style = this.element_.style;\n            style.left = 'inherit';\n            style.top = 'inherit';\n            style.width = 'inherit';\n            style.height = 'inherit';\n        }\n        this.map_ = map;\n        if (this.map_) {\n            this.map_.getOverlayContainer().appendChild(this.element_);\n        }\n    };\n    /**\n     * @param {import(\"../pixel.js\").Pixel} startPixel Start pixel.\n     * @param {import(\"../pixel.js\").Pixel} endPixel End pixel.\n     */\n    RenderBox.prototype.setPixels = function (startPixel, endPixel) {\n        this.startPixel_ = startPixel;\n        this.endPixel_ = endPixel;\n        this.createOrUpdateGeometry();\n        this.render_();\n    };\n    /**\n     * Creates or updates the cached geometry.\n     */\n    RenderBox.prototype.createOrUpdateGeometry = function () {\n        var startPixel = this.startPixel_;\n        var endPixel = this.endPixel_;\n        var pixels = [\n            startPixel,\n            [startPixel[0], endPixel[1]],\n            endPixel,\n            [endPixel[0], startPixel[1]],\n        ];\n        var coordinates = pixels.map(this.map_.getCoordinateFromPixelInternal, this.map_);\n        // close the polygon\n        coordinates[4] = coordinates[0].slice();\n        if (!this.geometry_) {\n            this.geometry_ = new Polygon([coordinates]);\n        }\n        else {\n            this.geometry_.setCoordinates([coordinates]);\n        }\n    };\n    /**\n     * @return {import(\"../geom/Polygon.js\").default} Geometry.\n     */\n    RenderBox.prototype.getGeometry = function () {\n        return this.geometry_;\n    };\n    return RenderBox;\n}(Disposable));\nexport default RenderBox;\n//# sourceMappingURL=Box.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DragBox\n */\n// FIXME draw drag box\nimport Event from '../events/Event.js';\nimport PointerInteraction from './Pointer.js';\nimport RenderBox from '../render/Box.js';\nimport { mouseActionButton } from '../events/condition.js';\n/**\n * A function that takes a {@link module:ol/MapBrowserEvent} and two\n * {@link module:ol/pixel~Pixel}s and returns a `{boolean}`. If the condition is met,\n * true should be returned.\n * @typedef {function(this: ?, import(\"../MapBrowserEvent.js\").default, import(\"../pixel.js\").Pixel, import(\"../pixel.js\").Pixel):boolean} EndCondition\n */\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-dragbox'] CSS class name for styling the box.\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a boolean\n * to indicate whether that event should be handled.\n * Default is {@link ol/events/condition~mouseActionButton}.\n * @property {number} [minArea=64] The minimum area of the box in pixel, this value is used by the default\n * `boxEndCondition` function.\n * @property {EndCondition} [boxEndCondition] A function that takes a {@link module:ol/MapBrowserEvent~MapBrowserEvent} and two\n * {@link module:ol/pixel~Pixel}s to indicate whether a `boxend` event should be fired.\n * Default is `true` if the area of the box is bigger than the `minArea` option.\n * @property {function(this:DragBox, import(\"../MapBrowserEvent.js\").default):void} [onBoxEnd] Code to execute just\n * before `boxend` is fired.\n */\n/**\n * @enum {string}\n */\nvar DragBoxEventType = {\n    /**\n     * Triggered upon drag box start.\n     * @event DragBoxEvent#boxstart\n     * @api\n     */\n    BOXSTART: 'boxstart',\n    /**\n     * Triggered on drag when box is active.\n     * @event DragBoxEvent#boxdrag\n     * @api\n     */\n    BOXDRAG: 'boxdrag',\n    /**\n     * Triggered upon drag box end.\n     * @event DragBoxEvent#boxend\n     * @api\n     */\n    BOXEND: 'boxend',\n    /**\n     * Triggered upon drag box canceled.\n     * @event DragBoxEvent#boxcancel\n     * @api\n     */\n    BOXCANCEL: 'boxcancel',\n};\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/DragBox~DragBox} instances are instances of\n * this type.\n */\nvar DragBoxEvent = /** @class */ (function (_super) {\n    __extends(DragBoxEvent, _super);\n    /**\n     * @param {string} type The event type.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate The event coordinate.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Originating event.\n     */\n    function DragBoxEvent(type, coordinate, mapBrowserEvent) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The coordinate of the drag event.\n         * @const\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @api\n         */\n        _this.coordinate = coordinate;\n        /**\n         * @const\n         * @type {import(\"../MapBrowserEvent.js\").default}\n         * @api\n         */\n        _this.mapBrowserEvent = mapBrowserEvent;\n        return _this;\n    }\n    return DragBoxEvent;\n}(Event));\nexport { DragBoxEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'boxcancel'|'boxdrag'|'boxend'|'boxstart', DragBoxEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'boxcancel'|'boxdrag'|'boxend', Return>} DragBoxOnSignature\n */\n/**\n * @classdesc\n * Allows the user to draw a vector box by clicking and dragging on the map,\n * normally combined with an {@link module:ol/events/condition} that limits\n * it to when the shift or other key is held down. This is used, for example,\n * for zooming to a specific area of the map\n * (see {@link module:ol/interaction/DragZoom~DragZoom} and\n * {@link module:ol/interaction/DragRotateAndZoom}).\n *\n * @fires DragBoxEvent\n * @api\n */\nvar DragBox = /** @class */ (function (_super) {\n    __extends(DragBox, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragBox(opt_options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {DragBoxOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {DragBoxOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {DragBoxOnSignature<void>}\n         */\n        _this.un;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @type {import(\"../render/Box.js\").default}\n         * @private\n         */\n        _this.box_ = new RenderBox(options.className || 'ol-dragbox');\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.minArea_ = options.minArea !== undefined ? options.minArea : 64;\n        if (options.onBoxEnd) {\n            _this.onBoxEnd = options.onBoxEnd;\n        }\n        /**\n         * @type {import(\"../pixel.js\").Pixel}\n         * @private\n         */\n        _this.startPixel_ = null;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : mouseActionButton;\n        /**\n         * @private\n         * @type {EndCondition}\n         */\n        _this.boxEndCondition_ = options.boxEndCondition\n            ? options.boxEndCondition\n            : _this.defaultBoxEndCondition;\n        return _this;\n    }\n    /**\n     * The default condition for determining whether the boxend event\n     * should fire.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent The originating MapBrowserEvent\n     *     leading to the box end.\n     * @param {import(\"../pixel.js\").Pixel} startPixel The starting pixel of the box.\n     * @param {import(\"../pixel.js\").Pixel} endPixel The end pixel of the box.\n     * @return {boolean} Whether or not the boxend condition should be fired.\n     */\n    DragBox.prototype.defaultBoxEndCondition = function (mapBrowserEvent, startPixel, endPixel) {\n        var width = endPixel[0] - startPixel[0];\n        var height = endPixel[1] - startPixel[1];\n        return width * width + height * height >= this.minArea_;\n    };\n    /**\n     * Returns geometry of last drawn box.\n     * @return {import(\"../geom/Polygon.js\").default} Geometry.\n     * @api\n     */\n    DragBox.prototype.getGeometry = function () {\n        return this.box_.getGeometry();\n    };\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    DragBox.prototype.handleDragEvent = function (mapBrowserEvent) {\n        this.box_.setPixels(this.startPixel_, mapBrowserEvent.pixel);\n        this.dispatchEvent(new DragBoxEvent(DragBoxEventType.BOXDRAG, mapBrowserEvent.coordinate, mapBrowserEvent));\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragBox.prototype.handleUpEvent = function (mapBrowserEvent) {\n        this.box_.setMap(null);\n        var completeBox = this.boxEndCondition_(mapBrowserEvent, this.startPixel_, mapBrowserEvent.pixel);\n        if (completeBox) {\n            this.onBoxEnd(mapBrowserEvent);\n        }\n        this.dispatchEvent(new DragBoxEvent(completeBox ? DragBoxEventType.BOXEND : DragBoxEventType.BOXCANCEL, mapBrowserEvent.coordinate, mapBrowserEvent));\n        return false;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragBox.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (this.condition_(mapBrowserEvent)) {\n            this.startPixel_ = mapBrowserEvent.pixel;\n            this.box_.setMap(mapBrowserEvent.map);\n            this.box_.setPixels(this.startPixel_, this.startPixel_);\n            this.dispatchEvent(new DragBoxEvent(DragBoxEventType.BOXSTART, mapBrowserEvent.coordinate, mapBrowserEvent));\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    /**\n     * Function to execute just before `onboxend` is fired\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     */\n    DragBox.prototype.onBoxEnd = function (event) { };\n    return DragBox;\n}(PointerInteraction));\nexport default DragBox;\n//# sourceMappingURL=DragBox.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DragZoom\n */\nimport DragBox from './DragBox.js';\nimport { easeOut } from '../easing.js';\nimport { shiftKeyOnly } from '../events/condition.js';\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-dragzoom'] CSS class name for styling the\n * box.\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.shiftKeyOnly}.\n * @property {number} [duration=200] Animation duration in milliseconds.\n * @property {boolean} [out=false] Use interaction for zooming out.\n * @property {number} [minArea=64] The minimum area of the box in pixel, this value is used by the parent default\n * `boxEndCondition` function.\n */\n/**\n * @classdesc\n * Allows the user to zoom the map by clicking and dragging on the map,\n * normally combined with an {@link module:ol/events/condition} that limits\n * it to when a key, shift by default, is held down.\n *\n * To change the style of the box, use CSS and the `.ol-dragzoom` selector, or\n * your custom one configured with `className`.\n * @api\n */\nvar DragZoom = /** @class */ (function (_super) {\n    __extends(DragZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragZoom(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var condition = options.condition ? options.condition : shiftKeyOnly;\n        _this = _super.call(this, {\n            condition: condition,\n            className: options.className || 'ol-dragzoom',\n            minArea: options.minArea,\n        }) || this;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 200;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.out_ = options.out !== undefined ? options.out : false;\n        return _this;\n    }\n    /**\n     * Function to execute just before `onboxend` is fired\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     */\n    DragZoom.prototype.onBoxEnd = function (event) {\n        var map = this.getMap();\n        var view = /** @type {!import(\"../View.js\").default} */ (map.getView());\n        var geometry = this.getGeometry();\n        if (this.out_) {\n            var rotatedExtent = view.rotatedExtentForGeometry(geometry);\n            var resolution = view.getResolutionForExtentInternal(rotatedExtent);\n            var factor = view.getResolution() / resolution;\n            geometry = geometry.clone();\n            geometry.scale(factor * factor);\n        }\n        view.fitInternal(geometry, {\n            duration: this.duration_,\n            easing: easeOut,\n        });\n    };\n    return DragZoom;\n}(DragBox));\nexport default DragZoom;\n//# sourceMappingURL=DragZoom.js.map","/**\n * @module ol/events/KeyCode\n */\n/**\n * @enum {number}\n * @const\n */\nexport default {\n    LEFT: 37,\n    UP: 38,\n    RIGHT: 39,\n    DOWN: 40,\n};\n//# sourceMappingURL=KeyCode.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/KeyboardPan\n */\nimport EventType from '../events/EventType.js';\nimport Interaction, { pan } from './Interaction.js';\nimport KeyCode from '../events/KeyCode.js';\nimport { noModifierKeys, targetNotEditable } from '../events/condition.js';\nimport { rotate as rotateCoordinate } from '../coordinate.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. Default is\n * {@link module:ol/events/condition.noModifierKeys} and\n * {@link module:ol/events/condition.targetNotEditable}.\n * @property {number} [duration=100] Animation duration in milliseconds.\n * @property {number} [pixelDelta=128] The amount of pixels to pan on each key\n * press.\n */\n/**\n * @classdesc\n * Allows the user to pan the map using keyboard arrows.\n * Note that, although this interaction is by default included in maps,\n * the keys can only be used when browser focus is on the element to which\n * the keyboard events are attached. By default, this is the map div,\n * though you can change this with the `keyboardEventTarget` in\n * {@link module:ol/Map~Map}. `document` never loses focus but, for any other\n * element, focus will have to be on, and returned to, this element if the keys\n * are to function.\n * See also {@link module:ol/interaction/KeyboardZoom~KeyboardZoom}.\n * @api\n */\nvar KeyboardPan = /** @class */ (function (_super) {\n    __extends(KeyboardPan, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function KeyboardPan(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options || {};\n        /**\n         * @private\n         * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Browser event.\n         * @return {boolean} Combined condition result.\n         */\n        _this.defaultCondition_ = function (mapBrowserEvent) {\n            return (noModifierKeys(mapBrowserEvent) && targetNotEditable(mapBrowserEvent));\n        };\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ =\n            options.condition !== undefined\n                ? options.condition\n                : _this.defaultCondition_;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 100;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.pixelDelta_ =\n            options.pixelDelta !== undefined ? options.pixelDelta : 128;\n        return _this;\n    }\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} if it was a\n     * `KeyEvent`, and decides the direction to pan to (if an arrow key was\n     * pressed).\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @this {KeyboardPan}\n     */\n    KeyboardPan.prototype.handleEvent = function (mapBrowserEvent) {\n        var stopEvent = false;\n        if (mapBrowserEvent.type == EventType.KEYDOWN) {\n            var keyEvent = /** @type {KeyboardEvent} */ (mapBrowserEvent.originalEvent);\n            var keyCode = keyEvent.keyCode;\n            if (this.condition_(mapBrowserEvent) &&\n                (keyCode == KeyCode.DOWN ||\n                    keyCode == KeyCode.LEFT ||\n                    keyCode == KeyCode.RIGHT ||\n                    keyCode == KeyCode.UP)) {\n                var map = mapBrowserEvent.map;\n                var view = map.getView();\n                var mapUnitsDelta = view.getResolution() * this.pixelDelta_;\n                var deltaX = 0, deltaY = 0;\n                if (keyCode == KeyCode.DOWN) {\n                    deltaY = -mapUnitsDelta;\n                }\n                else if (keyCode == KeyCode.LEFT) {\n                    deltaX = -mapUnitsDelta;\n                }\n                else if (keyCode == KeyCode.RIGHT) {\n                    deltaX = mapUnitsDelta;\n                }\n                else {\n                    deltaY = mapUnitsDelta;\n                }\n                var delta = [deltaX, deltaY];\n                rotateCoordinate(delta, view.getRotation());\n                pan(view, delta, this.duration_);\n                keyEvent.preventDefault();\n                stopEvent = true;\n            }\n        }\n        return !stopEvent;\n    };\n    return KeyboardPan;\n}(Interaction));\nexport default KeyboardPan;\n//# sourceMappingURL=KeyboardPan.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/KeyboardZoom\n */\nimport EventType from '../events/EventType.js';\nimport Interaction, { zoomByDelta } from './Interaction.js';\nimport { targetNotEditable } from '../events/condition.js';\n/**\n * @typedef {Object} Options\n * @property {number} [duration=100] Animation duration in milliseconds.\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. Default is\n * {@link module:ol/events/condition.targetNotEditable}.\n * @property {number} [delta=1] The zoom level delta on each key press.\n */\n/**\n * @classdesc\n * Allows the user to zoom the map using keyboard + and -.\n * Note that, although this interaction is by default included in maps,\n * the keys can only be used when browser focus is on the element to which\n * the keyboard events are attached. By default, this is the map div,\n * though you can change this with the `keyboardEventTarget` in\n * {@link module:ol/Map~Map}. `document` never loses focus but, for any other\n * element, focus will have to be on, and returned to, this element if the keys\n * are to function.\n * See also {@link module:ol/interaction/KeyboardPan~KeyboardPan}.\n * @api\n */\nvar KeyboardZoom = /** @class */ (function (_super) {\n    __extends(KeyboardZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function KeyboardZoom(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : targetNotEditable;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.delta_ = options.delta ? options.delta : 1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 100;\n        return _this;\n    }\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} if it was a\n     * `KeyEvent`, and decides whether to zoom in or out (depending on whether the\n     * key pressed was '+' or '-').\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @this {KeyboardZoom}\n     */\n    KeyboardZoom.prototype.handleEvent = function (mapBrowserEvent) {\n        var stopEvent = false;\n        if (mapBrowserEvent.type == EventType.KEYDOWN ||\n            mapBrowserEvent.type == EventType.KEYPRESS) {\n            var keyEvent = /** @type {KeyboardEvent} */ (mapBrowserEvent.originalEvent);\n            var charCode = keyEvent.charCode;\n            if (this.condition_(mapBrowserEvent) &&\n                (charCode == '+'.charCodeAt(0) || charCode == '-'.charCodeAt(0))) {\n                var map = mapBrowserEvent.map;\n                var delta = charCode == '+'.charCodeAt(0) ? this.delta_ : -this.delta_;\n                var view = map.getView();\n                zoomByDelta(view, delta, undefined, this.duration_);\n                keyEvent.preventDefault();\n                stopEvent = true;\n            }\n        }\n        return !stopEvent;\n    };\n    return KeyboardZoom;\n}(Interaction));\nexport default KeyboardZoom;\n//# sourceMappingURL=KeyboardZoom.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/MouseWheelZoom\n */\nimport EventType from '../events/EventType.js';\nimport Interaction, { zoomByDelta } from './Interaction.js';\nimport { DEVICE_PIXEL_RATIO, FIREFOX } from '../has.js';\nimport { all, always, focusWithTabindex } from '../events/condition.js';\nimport { clamp } from '../math.js';\n/**\n * @enum {string}\n */\nexport var Mode = {\n    TRACKPAD: 'trackpad',\n    WHEEL: 'wheel',\n};\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. Default is\n * {@link module:ol/events/condition.always}.\n * @property {boolean} [onFocusOnly=false] When the map's target has a `tabindex` attribute set,\n * the interaction will only handle events when the map has the focus.\n * @property {number} [maxDelta=1] Maximum mouse wheel delta.\n * @property {number} [duration=250] Animation duration in milliseconds.\n * @property {number} [timeout=80] Mouse wheel timeout duration in milliseconds.\n * @property {boolean} [useAnchor=true] Enable zooming using the mouse's\n * location as the anchor. When set to `false`, zooming in and out will zoom to\n * the center of the screen instead of zooming on the mouse's location.\n * @property {boolean} [constrainResolution=false] If true, the mouse wheel zoom\n * event will always animate to the closest zoom level after an interaction;\n * false means intermediary zoom levels are allowed.\n */\n/**\n * @classdesc\n * Allows the user to zoom the map by scrolling the mouse wheel.\n * @api\n */\nvar MouseWheelZoom = /** @class */ (function (_super) {\n    __extends(MouseWheelZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function MouseWheelZoom(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, \n        /** @type {import(\"./Interaction.js\").InteractionOptions} */ (options)) || this;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.totalDelta_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.lastDelta_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = options.maxDelta !== undefined ? options.maxDelta : 1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.timeout_ = options.timeout !== undefined ? options.timeout : 80;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.useAnchor_ =\n            options.useAnchor !== undefined ? options.useAnchor : true;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.constrainResolution_ =\n            options.constrainResolution !== undefined\n                ? options.constrainResolution\n                : false;\n        var condition = options.condition ? options.condition : always;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.onFocusOnly\n            ? all(focusWithTabindex, condition)\n            : condition;\n        /**\n         * @private\n         * @type {?import(\"../coordinate.js\").Coordinate}\n         */\n        _this.lastAnchor_ = null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.startTime_ = undefined;\n        /**\n         * @private\n         * @type {?}\n         */\n        _this.timeoutId_;\n        /**\n         * @private\n         * @type {Mode|undefined}\n         */\n        _this.mode_ = undefined;\n        /**\n         * Trackpad events separated by this delay will be considered separate\n         * interactions.\n         * @type {number}\n         */\n        _this.trackpadEventGap_ = 400;\n        /**\n         * @type {?}\n         */\n        _this.trackpadTimeoutId_;\n        /**\n         * The number of delta values per zoom level\n         * @private\n         * @type {number}\n         */\n        _this.deltaPerZoom_ = 300;\n        return _this;\n    }\n    /**\n     * @private\n     */\n    MouseWheelZoom.prototype.endInteraction_ = function () {\n        this.trackpadTimeoutId_ = undefined;\n        var view = this.getMap().getView();\n        view.endInteraction(undefined, this.lastDelta_ ? (this.lastDelta_ > 0 ? 1 : -1) : 0, this.lastAnchor_);\n    };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} (if it was a mousewheel-event) and eventually\n     * zooms the map.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     */\n    MouseWheelZoom.prototype.handleEvent = function (mapBrowserEvent) {\n        if (!this.condition_(mapBrowserEvent)) {\n            return true;\n        }\n        var type = mapBrowserEvent.type;\n        if (type !== EventType.WHEEL) {\n            return true;\n        }\n        var map = mapBrowserEvent.map;\n        var wheelEvent = /** @type {WheelEvent} */ (mapBrowserEvent.originalEvent);\n        wheelEvent.preventDefault();\n        if (this.useAnchor_) {\n            this.lastAnchor_ = mapBrowserEvent.coordinate;\n        }\n        // Delta normalisation inspired by\n        // https://github.com/mapbox/mapbox-gl-js/blob/001c7b9/js/ui/handler/scroll_zoom.js\n        var delta;\n        if (mapBrowserEvent.type == EventType.WHEEL) {\n            delta = wheelEvent.deltaY;\n            if (FIREFOX && wheelEvent.deltaMode === WheelEvent.DOM_DELTA_PIXEL) {\n                delta /= DEVICE_PIXEL_RATIO;\n            }\n            if (wheelEvent.deltaMode === WheelEvent.DOM_DELTA_LINE) {\n                delta *= 40;\n            }\n        }\n        if (delta === 0) {\n            return false;\n        }\n        else {\n            this.lastDelta_ = delta;\n        }\n        var now = Date.now();\n        if (this.startTime_ === undefined) {\n            this.startTime_ = now;\n        }\n        if (!this.mode_ || now - this.startTime_ > this.trackpadEventGap_) {\n            this.mode_ = Math.abs(delta) < 4 ? Mode.TRACKPAD : Mode.WHEEL;\n        }\n        var view = map.getView();\n        if (this.mode_ === Mode.TRACKPAD &&\n            !(view.getConstrainResolution() || this.constrainResolution_)) {\n            if (this.trackpadTimeoutId_) {\n                clearTimeout(this.trackpadTimeoutId_);\n            }\n            else {\n                if (view.getAnimating()) {\n                    view.cancelAnimations();\n                }\n                view.beginInteraction();\n            }\n            this.trackpadTimeoutId_ = setTimeout(this.endInteraction_.bind(this), this.timeout_);\n            view.adjustZoom(-delta / this.deltaPerZoom_, this.lastAnchor_);\n            this.startTime_ = now;\n            return false;\n        }\n        this.totalDelta_ += delta;\n        var timeLeft = Math.max(this.timeout_ - (now - this.startTime_), 0);\n        clearTimeout(this.timeoutId_);\n        this.timeoutId_ = setTimeout(this.handleWheelZoom_.bind(this, map), timeLeft);\n        return false;\n    };\n    /**\n     * @private\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    MouseWheelZoom.prototype.handleWheelZoom_ = function (map) {\n        var view = map.getView();\n        if (view.getAnimating()) {\n            view.cancelAnimations();\n        }\n        var delta = -clamp(this.totalDelta_, -this.maxDelta_ * this.deltaPerZoom_, this.maxDelta_ * this.deltaPerZoom_) / this.deltaPerZoom_;\n        if (view.getConstrainResolution() || this.constrainResolution_) {\n            // view has a zoom constraint, zoom by 1\n            delta = delta ? (delta > 0 ? 1 : -1) : 0;\n        }\n        zoomByDelta(view, delta, this.lastAnchor_, this.duration_);\n        this.mode_ = undefined;\n        this.totalDelta_ = 0;\n        this.lastAnchor_ = null;\n        this.startTime_ = undefined;\n        this.timeoutId_ = undefined;\n    };\n    /**\n     * Enable or disable using the mouse's location as an anchor when zooming\n     * @param {boolean} useAnchor true to zoom to the mouse's location, false\n     * to zoom to the center of the map\n     * @api\n     */\n    MouseWheelZoom.prototype.setMouseAnchor = function (useAnchor) {\n        this.useAnchor_ = useAnchor;\n        if (!useAnchor) {\n            this.lastAnchor_ = null;\n        }\n    };\n    return MouseWheelZoom;\n}(Interaction));\nexport default MouseWheelZoom;\n//# sourceMappingURL=MouseWheelZoom.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/PinchRotate\n */\nimport PointerInteraction, { centroid as centroidFromPointers, } from './Pointer.js';\nimport { FALSE } from '../functions.js';\nimport { disable } from '../rotationconstraint.js';\n/**\n * @typedef {Object} Options\n * @property {number} [duration=250] The duration of the animation in\n * milliseconds.\n * @property {number} [threshold=0.3] Minimal angle in radians to start a rotation.\n */\n/**\n * @classdesc\n * Allows the user to rotate the map by twisting with two fingers\n * on a touch screen.\n * @api\n */\nvar PinchRotate = /** @class */ (function (_super) {\n    __extends(PinchRotate, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function PinchRotate(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var pointerOptions = /** @type {import(\"./Pointer.js\").Options} */ (options);\n        if (!pointerOptions.stopDown) {\n            pointerOptions.stopDown = FALSE;\n        }\n        _this = _super.call(this, pointerOptions) || this;\n        /**\n         * @private\n         * @type {import(\"../coordinate.js\").Coordinate}\n         */\n        _this.anchor_ = null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.lastAngle_ = undefined;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.rotating_ = false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.rotationDelta_ = 0.0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.threshold_ = options.threshold !== undefined ? options.threshold : 0.3;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        return _this;\n    }\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    PinchRotate.prototype.handleDragEvent = function (mapBrowserEvent) {\n        var rotationDelta = 0.0;\n        var touch0 = this.targetPointers[0];\n        var touch1 = this.targetPointers[1];\n        // angle between touches\n        var angle = Math.atan2(touch1.clientY - touch0.clientY, touch1.clientX - touch0.clientX);\n        if (this.lastAngle_ !== undefined) {\n            var delta = angle - this.lastAngle_;\n            this.rotationDelta_ += delta;\n            if (!this.rotating_ && Math.abs(this.rotationDelta_) > this.threshold_) {\n                this.rotating_ = true;\n            }\n            rotationDelta = delta;\n        }\n        this.lastAngle_ = angle;\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        if (view.getConstraints().rotation === disable) {\n            return;\n        }\n        // rotate anchor point.\n        // FIXME: should be the intersection point between the lines:\n        //     touch0,touch1 and previousTouch0,previousTouch1\n        var viewportPosition = map.getViewport().getBoundingClientRect();\n        var centroid = centroidFromPointers(this.targetPointers);\n        centroid[0] -= viewportPosition.left;\n        centroid[1] -= viewportPosition.top;\n        this.anchor_ = map.getCoordinateFromPixelInternal(centroid);\n        // rotate\n        if (this.rotating_) {\n            map.render();\n            view.adjustRotationInternal(rotationDelta, this.anchor_);\n        }\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    PinchRotate.prototype.handleUpEvent = function (mapBrowserEvent) {\n        if (this.targetPointers.length < 2) {\n            var map = mapBrowserEvent.map;\n            var view = map.getView();\n            view.endInteraction(this.duration_);\n            return false;\n        }\n        else {\n            return true;\n        }\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    PinchRotate.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (this.targetPointers.length >= 2) {\n            var map = mapBrowserEvent.map;\n            this.anchor_ = null;\n            this.lastAngle_ = undefined;\n            this.rotating_ = false;\n            this.rotationDelta_ = 0.0;\n            if (!this.handlingDownUpSequence) {\n                map.getView().beginInteraction();\n            }\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    return PinchRotate;\n}(PointerInteraction));\nexport default PinchRotate;\n//# sourceMappingURL=PinchRotate.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/PinchZoom\n */\nimport PointerInteraction, { centroid as centroidFromPointers, } from './Pointer.js';\nimport { FALSE } from '../functions.js';\n/**\n * @typedef {Object} Options\n * @property {number} [duration=400] Animation duration in milliseconds.\n */\n/**\n * @classdesc\n * Allows the user to zoom the map by pinching with two fingers\n * on a touch screen.\n * @api\n */\nvar PinchZoom = /** @class */ (function (_super) {\n    __extends(PinchZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function PinchZoom(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var pointerOptions = /** @type {import(\"./Pointer.js\").Options} */ (options);\n        if (!pointerOptions.stopDown) {\n            pointerOptions.stopDown = FALSE;\n        }\n        _this = _super.call(this, pointerOptions) || this;\n        /**\n         * @private\n         * @type {import(\"../coordinate.js\").Coordinate}\n         */\n        _this.anchor_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 400;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.lastDistance_ = undefined;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.lastScaleDelta_ = 1;\n        return _this;\n    }\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    PinchZoom.prototype.handleDragEvent = function (mapBrowserEvent) {\n        var scaleDelta = 1.0;\n        var touch0 = this.targetPointers[0];\n        var touch1 = this.targetPointers[1];\n        var dx = touch0.clientX - touch1.clientX;\n        var dy = touch0.clientY - touch1.clientY;\n        // distance between touches\n        var distance = Math.sqrt(dx * dx + dy * dy);\n        if (this.lastDistance_ !== undefined) {\n            scaleDelta = this.lastDistance_ / distance;\n        }\n        this.lastDistance_ = distance;\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        if (scaleDelta != 1.0) {\n            this.lastScaleDelta_ = scaleDelta;\n        }\n        // scale anchor point.\n        var viewportPosition = map.getViewport().getBoundingClientRect();\n        var centroid = centroidFromPointers(this.targetPointers);\n        centroid[0] -= viewportPosition.left;\n        centroid[1] -= viewportPosition.top;\n        this.anchor_ = map.getCoordinateFromPixelInternal(centroid);\n        // scale, bypass the resolution constraint\n        map.render();\n        view.adjustResolutionInternal(scaleDelta, this.anchor_);\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    PinchZoom.prototype.handleUpEvent = function (mapBrowserEvent) {\n        if (this.targetPointers.length < 2) {\n            var map = mapBrowserEvent.map;\n            var view = map.getView();\n            var direction = this.lastScaleDelta_ > 1 ? 1 : -1;\n            view.endInteraction(this.duration_, direction);\n            return false;\n        }\n        else {\n            return true;\n        }\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    PinchZoom.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (this.targetPointers.length >= 2) {\n            var map = mapBrowserEvent.map;\n            this.anchor_ = null;\n            this.lastDistance_ = undefined;\n            this.lastScaleDelta_ = 1;\n            if (!this.handlingDownUpSequence) {\n                map.getView().beginInteraction();\n            }\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    return PinchZoom;\n}(PointerInteraction));\nexport default PinchZoom;\n//# sourceMappingURL=PinchZoom.js.map","/**\n * @module ol/interaction/DragAndDrop\n */\n// FIXME should handle all geo-referenced data, not just vector data\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport Event from '../events/Event.js';\nimport EventType from '../events/EventType.js';\nimport FormatType from '../format/FormatType.js';\nimport Interaction from './Interaction.js';\nimport { TRUE } from '../functions.js';\nimport { get as getProjection } from '../proj.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {Object} Options\n * @property {Array<typeof import(\"../format/Feature.js\").default|import(\"../format/Feature.js\").default>} [formatConstructors] Format constructors\n * (and/or formats pre-constructed with options).\n * @property {import(\"../source/Vector.js\").default} [source] Optional vector source where features will be added.  If a source is provided\n * all existing features will be removed and new features will be added when\n * they are dropped on the target.  If you want to add features to a vector\n * source without removing the existing features (append only), instead of\n * providing the source option listen for the \"addfeatures\" event.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Target projection. By default, the map's view's projection is used.\n * @property {HTMLElement} [target] The element that is used as the drop target, default is the viewport element.\n */\n/**\n * @enum {string}\n */\nvar DragAndDropEventType = {\n    /**\n     * Triggered when features are added\n     * @event DragAndDropEvent#addfeatures\n     * @api\n     */\n    ADD_FEATURES: 'addfeatures',\n};\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/DragAndDrop~DragAndDrop} instances are instances\n * of this type.\n */\nvar DragAndDropEvent = /** @class */ (function (_super) {\n    __extends(DragAndDropEvent, _super);\n    /**\n     * @param {DragAndDropEventType} type Type.\n     * @param {File} file File.\n     * @param {Array<import(\"../Feature.js\").default>} [opt_features] Features.\n     * @param {import(\"../proj/Projection.js\").default} [opt_projection] Projection.\n     */\n    function DragAndDropEvent(type, file, opt_features, opt_projection) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The features parsed from dropped data.\n         * @type {Array<import(\"../Feature.js\").FeatureLike>|undefined}\n         * @api\n         */\n        _this.features = opt_features;\n        /**\n         * The dropped file.\n         * @type {File}\n         * @api\n         */\n        _this.file = file;\n        /**\n         * The feature projection.\n         * @type {import(\"../proj/Projection.js\").default|undefined}\n         * @api\n         */\n        _this.projection = opt_projection;\n        return _this;\n    }\n    return DragAndDropEvent;\n}(Event));\nexport { DragAndDropEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'addfeatures', DragAndDropEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'addfeatures', Return>} DragAndDropOnSignature\n */\n/**\n * @classdesc\n * Handles input of vector data by drag and drop.\n *\n * Note that the DragAndDrop interaction uses the TextDecoder() constructor if the supplied\n * combination of formats read both text string and ArrayBuffer sources. Older browsers such\n * as IE which do not support this will need a TextDecoder polyfill to be loaded before use.\n *\n * @api\n *\n * @fires DragAndDropEvent\n */\nvar DragAndDrop = /** @class */ (function (_super) {\n    __extends(DragAndDrop, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragAndDrop(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            handleEvent: TRUE,\n        }) || this;\n        /***\n         * @type {DragAndDropOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {DragAndDropOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {DragAndDropOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.readAsBuffer_ = false;\n        /**\n         * @private\n         * @type {Array<import(\"../format/Feature.js\").default>}\n         */\n        _this.formats_ = [];\n        var formatConstructors = options.formatConstructors\n            ? options.formatConstructors\n            : [];\n        for (var i = 0, ii = formatConstructors.length; i < ii; ++i) {\n            var format = formatConstructors[i];\n            if (typeof format === 'function') {\n                format = new format();\n            }\n            _this.formats_.push(format);\n            _this.readAsBuffer_ =\n                _this.readAsBuffer_ || format.getType() === FormatType.ARRAY_BUFFER;\n        }\n        /**\n         * @private\n         * @type {import(\"../proj/Projection.js\").default}\n         */\n        _this.projection_ = options.projection\n            ? getProjection(options.projection)\n            : null;\n        /**\n         * @private\n         * @type {?Array<import(\"../events.js\").EventsKey>}\n         */\n        _this.dropListenKeys_ = null;\n        /**\n         * @private\n         * @type {import(\"../source/Vector.js\").default}\n         */\n        _this.source_ = options.source || null;\n        /**\n         * @private\n         * @type {HTMLElement}\n         */\n        _this.target = options.target ? options.target : null;\n        return _this;\n    }\n    /**\n     * @param {File} file File.\n     * @param {Event} event Load event.\n     * @private\n     */\n    DragAndDrop.prototype.handleResult_ = function (file, event) {\n        var result = event.target.result;\n        var map = this.getMap();\n        var projection = this.projection_;\n        if (!projection) {\n            var view = map.getView();\n            projection = view.getProjection();\n        }\n        var text;\n        var formats = this.formats_;\n        for (var i = 0, ii = formats.length; i < ii; ++i) {\n            var format = formats[i];\n            var input = result;\n            if (this.readAsBuffer_ && format.getType() !== FormatType.ARRAY_BUFFER) {\n                if (text === undefined) {\n                    text = new TextDecoder().decode(result);\n                }\n                input = text;\n            }\n            var features = this.tryReadFeatures_(format, input, {\n                featureProjection: projection,\n            });\n            if (features && features.length > 0) {\n                if (this.source_) {\n                    this.source_.clear();\n                    this.source_.addFeatures(features);\n                }\n                this.dispatchEvent(new DragAndDropEvent(DragAndDropEventType.ADD_FEATURES, file, features, projection));\n                break;\n            }\n        }\n    };\n    /**\n     * @private\n     */\n    DragAndDrop.prototype.registerListeners_ = function () {\n        var map = this.getMap();\n        if (map) {\n            var dropArea = this.target ? this.target : map.getViewport();\n            this.dropListenKeys_ = [\n                listen(dropArea, EventType.DROP, this.handleDrop, this),\n                listen(dropArea, EventType.DRAGENTER, this.handleStop, this),\n                listen(dropArea, EventType.DRAGOVER, this.handleStop, this),\n                listen(dropArea, EventType.DROP, this.handleStop, this),\n            ];\n        }\n    };\n    /**\n     * Activate or deactivate the interaction.\n     * @param {boolean} active Active.\n     * @observable\n     * @api\n     */\n    DragAndDrop.prototype.setActive = function (active) {\n        if (!this.getActive() && active) {\n            this.registerListeners_();\n        }\n        if (this.getActive() && !active) {\n            this.unregisterListeners_();\n        }\n        _super.prototype.setActive.call(this, active);\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    DragAndDrop.prototype.setMap = function (map) {\n        this.unregisterListeners_();\n        _super.prototype.setMap.call(this, map);\n        if (this.getActive()) {\n            this.registerListeners_();\n        }\n    };\n    /**\n     * @param {import(\"../format/Feature.js\").default} format Format.\n     * @param {string} text Text.\n     * @param {import(\"../format/Feature.js\").ReadOptions} options Read options.\n     * @private\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     */\n    DragAndDrop.prototype.tryReadFeatures_ = function (format, text, options) {\n        try {\n            return (\n            /** @type {Array<import(\"../Feature.js\").default>} */\n            (format.readFeatures(text, options)));\n        }\n        catch (e) {\n            return null;\n        }\n    };\n    /**\n     * @private\n     */\n    DragAndDrop.prototype.unregisterListeners_ = function () {\n        if (this.dropListenKeys_) {\n            this.dropListenKeys_.forEach(unlistenByKey);\n            this.dropListenKeys_ = null;\n        }\n    };\n    /**\n     * @param {DragEvent} event Event.\n     */\n    DragAndDrop.prototype.handleDrop = function (event) {\n        var files = event.dataTransfer.files;\n        for (var i = 0, ii = files.length; i < ii; ++i) {\n            var file = files.item(i);\n            var reader = new FileReader();\n            reader.addEventListener(EventType.LOAD, this.handleResult_.bind(this, file));\n            if (this.readAsBuffer_) {\n                reader.readAsArrayBuffer(file);\n            }\n            else {\n                reader.readAsText(file);\n            }\n        }\n    };\n    /**\n     * @param {DragEvent} event Event.\n     */\n    DragAndDrop.prototype.handleStop = function (event) {\n        event.stopPropagation();\n        event.preventDefault();\n        event.dataTransfer.dropEffect = 'copy';\n    };\n    return DragAndDrop;\n}(Interaction));\nexport default DragAndDrop;\n//# sourceMappingURL=DragAndDrop.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DragRotateAndZoom\n */\nimport PointerInteraction from './Pointer.js';\nimport { mouseOnly, shiftKeyOnly } from '../events/condition.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.shiftKeyOnly}.\n * @property {number} [duration=400] Animation duration in milliseconds.\n */\n/**\n * @classdesc\n * Allows the user to zoom and rotate the map by clicking and dragging\n * on the map.  By default, this interaction is limited to when the shift\n * key is held down.\n *\n * This interaction is only supported for mouse devices.\n *\n * And this interaction is not included in the default interactions.\n * @api\n */\nvar DragRotateAndZoom = /** @class */ (function (_super) {\n    __extends(DragRotateAndZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragRotateAndZoom(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, /** @type {import(\"./Pointer.js\").Options} */ (options)) || this;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : shiftKeyOnly;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.lastAngle_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.lastMagnitude_ = undefined;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.lastScaleDelta_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 400;\n        return _this;\n    }\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    DragRotateAndZoom.prototype.handleDragEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return;\n        }\n        var map = mapBrowserEvent.map;\n        var size = map.getSize();\n        var offset = mapBrowserEvent.pixel;\n        var deltaX = offset[0] - size[0] / 2;\n        var deltaY = size[1] / 2 - offset[1];\n        var theta = Math.atan2(deltaY, deltaX);\n        var magnitude = Math.sqrt(deltaX * deltaX + deltaY * deltaY);\n        var view = map.getView();\n        if (this.lastAngle_ !== undefined) {\n            var angleDelta = this.lastAngle_ - theta;\n            view.adjustRotationInternal(angleDelta);\n        }\n        this.lastAngle_ = theta;\n        if (this.lastMagnitude_ !== undefined) {\n            view.adjustResolutionInternal(this.lastMagnitude_ / magnitude);\n        }\n        if (this.lastMagnitude_ !== undefined) {\n            this.lastScaleDelta_ = this.lastMagnitude_ / magnitude;\n        }\n        this.lastMagnitude_ = magnitude;\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragRotateAndZoom.prototype.handleUpEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return true;\n        }\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        var direction = this.lastScaleDelta_ > 1 ? 1 : -1;\n        view.endInteraction(this.duration_, direction);\n        this.lastScaleDelta_ = 0;\n        return false;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragRotateAndZoom.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return false;\n        }\n        if (this.condition_(mapBrowserEvent)) {\n            mapBrowserEvent.map.getView().beginInteraction();\n            this.lastAngle_ = undefined;\n            this.lastMagnitude_ = undefined;\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    return DragRotateAndZoom;\n}(PointerInteraction));\nexport default DragRotateAndZoom;\n//# sourceMappingURL=DragRotateAndZoom.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/Circle\n */\nimport GeometryType from './GeometryType.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { createOrUpdate, forEachCorner, intersects } from '../extent.js';\nimport { deflateCoordinate } from './flat/deflate.js';\nimport { rotate, translate } from './flat/transform.js';\n/**\n * @classdesc\n * Circle geometry.\n *\n * @api\n */\nvar Circle = /** @class */ (function (_super) {\n    __extends(Circle, _super);\n    /**\n     * @param {!import(\"../coordinate.js\").Coordinate} center Center.\n     *     For internal use, flat coordinates in combination with `opt_layout` and no\n     *     `opt_radius` are also accepted.\n     * @param {number} [opt_radius] Radius.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    function Circle(center, opt_radius, opt_layout) {\n        var _this = _super.call(this) || this;\n        if (opt_layout !== undefined && opt_radius === undefined) {\n            _this.setFlatCoordinates(opt_layout, center);\n        }\n        else {\n            var radius = opt_radius ? opt_radius : 0;\n            _this.setCenterAndRadius(center, radius, opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!Circle} Clone.\n     * @api\n     */\n    Circle.prototype.clone = function () {\n        var circle = new Circle(this.flatCoordinates.slice(), undefined, this.layout);\n        circle.applyProperties(this);\n        return circle;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    Circle.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        var flatCoordinates = this.flatCoordinates;\n        var dx = x - flatCoordinates[0];\n        var dy = y - flatCoordinates[1];\n        var squaredDistance = dx * dx + dy * dy;\n        if (squaredDistance < minSquaredDistance) {\n            if (squaredDistance === 0) {\n                for (var i = 0; i < this.stride; ++i) {\n                    closestPoint[i] = flatCoordinates[i];\n                }\n            }\n            else {\n                var delta = this.getRadius() / Math.sqrt(squaredDistance);\n                closestPoint[0] = flatCoordinates[0] + delta * dx;\n                closestPoint[1] = flatCoordinates[1] + delta * dy;\n                for (var i = 2; i < this.stride; ++i) {\n                    closestPoint[i] = flatCoordinates[i];\n                }\n            }\n            closestPoint.length = this.stride;\n            return squaredDistance;\n        }\n        else {\n            return minSquaredDistance;\n        }\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @return {boolean} Contains (x, y).\n     */\n    Circle.prototype.containsXY = function (x, y) {\n        var flatCoordinates = this.flatCoordinates;\n        var dx = x - flatCoordinates[0];\n        var dy = y - flatCoordinates[1];\n        return dx * dx + dy * dy <= this.getRadiusSquared_();\n    };\n    /**\n     * Return the center of the circle as {@link module:ol/coordinate~Coordinate coordinate}.\n     * @return {import(\"../coordinate.js\").Coordinate} Center.\n     * @api\n     */\n    Circle.prototype.getCenter = function () {\n        return this.flatCoordinates.slice(0, this.stride);\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @protected\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     */\n    Circle.prototype.computeExtent = function (extent) {\n        var flatCoordinates = this.flatCoordinates;\n        var radius = flatCoordinates[this.stride] - flatCoordinates[0];\n        return createOrUpdate(flatCoordinates[0] - radius, flatCoordinates[1] - radius, flatCoordinates[0] + radius, flatCoordinates[1] + radius, extent);\n    };\n    /**\n     * Return the radius of the circle.\n     * @return {number} Radius.\n     * @api\n     */\n    Circle.prototype.getRadius = function () {\n        return Math.sqrt(this.getRadiusSquared_());\n    };\n    /**\n     * @private\n     * @return {number} Radius squared.\n     */\n    Circle.prototype.getRadiusSquared_ = function () {\n        var dx = this.flatCoordinates[this.stride] - this.flatCoordinates[0];\n        var dy = this.flatCoordinates[this.stride + 1] - this.flatCoordinates[1];\n        return dx * dx + dy * dy;\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    Circle.prototype.getType = function () {\n        return GeometryType.CIRCLE;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    Circle.prototype.intersectsExtent = function (extent) {\n        var circleExtent = this.getExtent();\n        if (intersects(extent, circleExtent)) {\n            var center = this.getCenter();\n            if (extent[0] <= center[0] && extent[2] >= center[0]) {\n                return true;\n            }\n            if (extent[1] <= center[1] && extent[3] >= center[1]) {\n                return true;\n            }\n            return forEachCorner(extent, this.intersectsCoordinate.bind(this));\n        }\n        return false;\n    };\n    /**\n     * Set the center of the circle as {@link module:ol/coordinate~Coordinate coordinate}.\n     * @param {import(\"../coordinate.js\").Coordinate} center Center.\n     * @api\n     */\n    Circle.prototype.setCenter = function (center) {\n        var stride = this.stride;\n        var radius = this.flatCoordinates[stride] - this.flatCoordinates[0];\n        var flatCoordinates = center.slice();\n        flatCoordinates[stride] = flatCoordinates[0] + radius;\n        for (var i = 1; i < stride; ++i) {\n            flatCoordinates[stride + i] = center[i];\n        }\n        this.setFlatCoordinates(this.layout, flatCoordinates);\n        this.changed();\n    };\n    /**\n     * Set the center (as {@link module:ol/coordinate~Coordinate coordinate}) and the radius (as\n     * number) of the circle.\n     * @param {!import(\"../coordinate.js\").Coordinate} center Center.\n     * @param {number} radius Radius.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    Circle.prototype.setCenterAndRadius = function (center, radius, opt_layout) {\n        this.setLayout(opt_layout, center, 0);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        /** @type {Array<number>} */\n        var flatCoordinates = this.flatCoordinates;\n        var offset = deflateCoordinate(flatCoordinates, 0, center, this.stride);\n        flatCoordinates[offset++] = flatCoordinates[0] + radius;\n        for (var i = 1, ii = this.stride; i < ii; ++i) {\n            flatCoordinates[offset++] = flatCoordinates[i];\n        }\n        flatCoordinates.length = offset;\n        this.changed();\n    };\n    Circle.prototype.getCoordinates = function () {\n        return null;\n    };\n    Circle.prototype.setCoordinates = function (coordinates, opt_layout) { };\n    /**\n     * Set the radius of the circle. The radius is in the units of the projection.\n     * @param {number} radius Radius.\n     * @api\n     */\n    Circle.prototype.setRadius = function (radius) {\n        this.flatCoordinates[this.stride] = this.flatCoordinates[0] + radius;\n        this.changed();\n    };\n    /**\n     * Rotate the geometry around a given coordinate. This modifies the geometry\n     * coordinates in place.\n     * @param {number} angle Rotation angle in counter-clockwise radians.\n     * @param {import(\"../coordinate.js\").Coordinate} anchor The rotation center.\n     * @api\n     */\n    Circle.prototype.rotate = function (angle, anchor) {\n        var center = this.getCenter();\n        var stride = this.getStride();\n        this.setCenter(rotate(center, 0, center.length, stride, angle, anchor, center));\n        this.changed();\n    };\n    /**\n     * Translate the geometry.  This modifies the geometry coordinates in place.  If\n     * instead you want a new geometry, first `clone()` this geometry.\n     * @param {number} deltaX Delta X.\n     * @param {number} deltaY Delta Y.\n     * @api\n     */\n    Circle.prototype.translate = function (deltaX, deltaY) {\n        var center = this.getCenter();\n        var stride = this.getStride();\n        this.setCenter(translate(center, 0, center.length, stride, deltaX, deltaY, center));\n        this.changed();\n    };\n    return Circle;\n}(SimpleGeometry));\n/**\n * Transform each coordinate of the circle from one coordinate reference system\n * to another. The geometry is modified in place.\n * If you do not want the geometry modified in place, first clone() it and\n * then use this function on the clone.\n *\n * Internally a circle is currently represented by two points: the center of\n * the circle `[cx, cy]`, and the point to the right of the circle\n * `[cx + r, cy]`. This `transform` function just transforms these two points.\n * So the resulting geometry is also a circle, and that circle does not\n * correspond to the shape that would be obtained by transforming every point\n * of the original circle.\n *\n * @param {import(\"../proj.js\").ProjectionLike} source The current projection.  Can be a\n *     string identifier or a {@link module:ol/proj/Projection~Projection} object.\n * @param {import(\"../proj.js\").ProjectionLike} destination The desired projection.  Can be a\n *     string identifier or a {@link module:ol/proj/Projection~Projection} object.\n * @return {Circle} This geometry.  Note that original geometry is\n *     modified in place.\n * @function\n * @api\n */\nCircle.prototype.transform;\nexport default Circle;\n//# sourceMappingURL=Circle.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/MultiLineString\n */\nimport GeometryLayout from './GeometryLayout.js';\nimport GeometryType from './GeometryType.js';\nimport LineString from './LineString.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { arrayMaxSquaredDelta, assignClosestArrayPoint } from './flat/closest.js';\nimport { closestSquaredDistanceXY } from '../extent.js';\nimport { deflateCoordinatesArray } from './flat/deflate.js';\nimport { douglasPeuckerArray } from './flat/simplify.js';\nimport { extend } from '../array.js';\nimport { inflateCoordinatesArray } from './flat/inflate.js';\nimport { interpolatePoint, lineStringsCoordinateAtM, } from './flat/interpolate.js';\nimport { intersectsLineStringArray } from './flat/intersectsextent.js';\n/**\n * @classdesc\n * Multi-linestring geometry.\n *\n * @api\n */\nvar MultiLineString = /** @class */ (function (_super) {\n    __extends(MultiLineString, _super);\n    /**\n     * @param {Array<Array<import(\"../coordinate.js\").Coordinate>|LineString>|Array<number>} coordinates\n     *     Coordinates or LineString geometries. (For internal use, flat coordinates in\n     *     combination with `opt_layout` and `opt_ends` are also accepted.)\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @param {Array<number>} [opt_ends] Flat coordinate ends for internal use.\n     */\n    function MultiLineString(coordinates, opt_layout, opt_ends) {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {Array<number>}\n         * @private\n         */\n        _this.ends_ = [];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDeltaRevision_ = -1;\n        if (Array.isArray(coordinates[0])) {\n            _this.setCoordinates(\n            /** @type {Array<Array<import(\"../coordinate.js\").Coordinate>>} */ (coordinates), opt_layout);\n        }\n        else if (opt_layout !== undefined && opt_ends) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n            _this.ends_ = opt_ends;\n        }\n        else {\n            var layout = _this.getLayout();\n            var lineStrings = /** @type {Array<LineString>} */ (coordinates);\n            var flatCoordinates = [];\n            var ends = [];\n            for (var i = 0, ii = lineStrings.length; i < ii; ++i) {\n                var lineString = lineStrings[i];\n                if (i === 0) {\n                    layout = lineString.getLayout();\n                }\n                extend(flatCoordinates, lineString.getFlatCoordinates());\n                ends.push(flatCoordinates.length);\n            }\n            _this.setFlatCoordinates(layout, flatCoordinates);\n            _this.ends_ = ends;\n        }\n        return _this;\n    }\n    /**\n     * Append the passed linestring to the multilinestring.\n     * @param {LineString} lineString LineString.\n     * @api\n     */\n    MultiLineString.prototype.appendLineString = function (lineString) {\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = lineString.getFlatCoordinates().slice();\n        }\n        else {\n            extend(this.flatCoordinates, lineString.getFlatCoordinates().slice());\n        }\n        this.ends_.push(this.flatCoordinates.length);\n        this.changed();\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!MultiLineString} Clone.\n     * @api\n     */\n    MultiLineString.prototype.clone = function () {\n        var multiLineString = new MultiLineString(this.flatCoordinates.slice(), this.layout, this.ends_.slice());\n        multiLineString.applyProperties(this);\n        return multiLineString;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    MultiLineString.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        if (this.maxDeltaRevision_ != this.getRevision()) {\n            this.maxDelta_ = Math.sqrt(arrayMaxSquaredDelta(this.flatCoordinates, 0, this.ends_, this.stride, 0));\n            this.maxDeltaRevision_ = this.getRevision();\n        }\n        return assignClosestArrayPoint(this.flatCoordinates, 0, this.ends_, this.stride, this.maxDelta_, false, x, y, closestPoint, minSquaredDistance);\n    };\n    /**\n     * Returns the coordinate at `m` using linear interpolation, or `null` if no\n     * such coordinate exists.\n     *\n     * `opt_extrapolate` controls extrapolation beyond the range of Ms in the\n     * MultiLineString. If `opt_extrapolate` is `true` then Ms less than the first\n     * M will return the first coordinate and Ms greater than the last M will\n     * return the last coordinate.\n     *\n     * `opt_interpolate` controls interpolation between consecutive LineStrings\n     * within the MultiLineString. If `opt_interpolate` is `true` the coordinates\n     * will be linearly interpolated between the last coordinate of one LineString\n     * and the first coordinate of the next LineString.  If `opt_interpolate` is\n     * `false` then the function will return `null` for Ms falling between\n     * LineStrings.\n     *\n     * @param {number} m M.\n     * @param {boolean} [opt_extrapolate] Extrapolate. Default is `false`.\n     * @param {boolean} [opt_interpolate] Interpolate. Default is `false`.\n     * @return {import(\"../coordinate.js\").Coordinate} Coordinate.\n     * @api\n     */\n    MultiLineString.prototype.getCoordinateAtM = function (m, opt_extrapolate, opt_interpolate) {\n        if ((this.layout != GeometryLayout.XYM &&\n            this.layout != GeometryLayout.XYZM) ||\n            this.flatCoordinates.length === 0) {\n            return null;\n        }\n        var extrapolate = opt_extrapolate !== undefined ? opt_extrapolate : false;\n        var interpolate = opt_interpolate !== undefined ? opt_interpolate : false;\n        return lineStringsCoordinateAtM(this.flatCoordinates, 0, this.ends_, this.stride, m, extrapolate, interpolate);\n    };\n    /**\n     * Return the coordinates of the multilinestring.\n     * @return {Array<Array<import(\"../coordinate.js\").Coordinate>>} Coordinates.\n     * @api\n     */\n    MultiLineString.prototype.getCoordinates = function () {\n        return inflateCoordinatesArray(this.flatCoordinates, 0, this.ends_, this.stride);\n    };\n    /**\n     * @return {Array<number>} Ends.\n     */\n    MultiLineString.prototype.getEnds = function () {\n        return this.ends_;\n    };\n    /**\n     * Return the linestring at the specified index.\n     * @param {number} index Index.\n     * @return {LineString} LineString.\n     * @api\n     */\n    MultiLineString.prototype.getLineString = function (index) {\n        if (index < 0 || this.ends_.length <= index) {\n            return null;\n        }\n        return new LineString(this.flatCoordinates.slice(index === 0 ? 0 : this.ends_[index - 1], this.ends_[index]), this.layout);\n    };\n    /**\n     * Return the linestrings of this multilinestring.\n     * @return {Array<LineString>} LineStrings.\n     * @api\n     */\n    MultiLineString.prototype.getLineStrings = function () {\n        var flatCoordinates = this.flatCoordinates;\n        var ends = this.ends_;\n        var layout = this.layout;\n        /** @type {Array<LineString>} */\n        var lineStrings = [];\n        var offset = 0;\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            var end = ends[i];\n            var lineString = new LineString(flatCoordinates.slice(offset, end), layout);\n            lineStrings.push(lineString);\n            offset = end;\n        }\n        return lineStrings;\n    };\n    /**\n     * @return {Array<number>} Flat midpoints.\n     */\n    MultiLineString.prototype.getFlatMidpoints = function () {\n        var midpoints = [];\n        var flatCoordinates = this.flatCoordinates;\n        var offset = 0;\n        var ends = this.ends_;\n        var stride = this.stride;\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            var end = ends[i];\n            var midpoint = interpolatePoint(flatCoordinates, offset, end, stride, 0.5);\n            extend(midpoints, midpoint);\n            offset = end;\n        }\n        return midpoints;\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {MultiLineString} Simplified MultiLineString.\n     * @protected\n     */\n    MultiLineString.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        var simplifiedFlatCoordinates = [];\n        var simplifiedEnds = [];\n        simplifiedFlatCoordinates.length = douglasPeuckerArray(this.flatCoordinates, 0, this.ends_, this.stride, squaredTolerance, simplifiedFlatCoordinates, 0, simplifiedEnds);\n        return new MultiLineString(simplifiedFlatCoordinates, GeometryLayout.XY, simplifiedEnds);\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    MultiLineString.prototype.getType = function () {\n        return GeometryType.MULTI_LINE_STRING;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    MultiLineString.prototype.intersectsExtent = function (extent) {\n        return intersectsLineStringArray(this.flatCoordinates, 0, this.ends_, this.stride, extent);\n    };\n    /**\n     * Set the coordinates of the multilinestring.\n     * @param {!Array<Array<import(\"../coordinate.js\").Coordinate>>} coordinates Coordinates.\n     * @param {GeometryLayout} [opt_layout] Layout.\n     * @api\n     */\n    MultiLineString.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 2);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        var ends = deflateCoordinatesArray(this.flatCoordinates, 0, coordinates, this.stride, this.ends_);\n        this.flatCoordinates.length = ends.length === 0 ? 0 : ends[ends.length - 1];\n        this.changed();\n    };\n    return MultiLineString;\n}(SimpleGeometry));\nexport default MultiLineString;\n//# sourceMappingURL=MultiLineString.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/MultiPoint\n */\nimport GeometryType from './GeometryType.js';\nimport Point from './Point.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { closestSquaredDistanceXY, containsXY } from '../extent.js';\nimport { deflateCoordinates } from './flat/deflate.js';\nimport { extend } from '../array.js';\nimport { inflateCoordinates } from './flat/inflate.js';\nimport { squaredDistance as squaredDx } from '../math.js';\n/**\n * @classdesc\n * Multi-point geometry.\n *\n * @api\n */\nvar MultiPoint = /** @class */ (function (_super) {\n    __extends(MultiPoint, _super);\n    /**\n     * @param {Array<import(\"../coordinate.js\").Coordinate>|Array<number>} coordinates Coordinates.\n     *     For internal use, flat coordinates in combination with `opt_layout` are also accepted.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    function MultiPoint(coordinates, opt_layout) {\n        var _this = _super.call(this) || this;\n        if (opt_layout && !Array.isArray(coordinates[0])) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n        }\n        else {\n            _this.setCoordinates(\n            /** @type {Array<import(\"../coordinate.js\").Coordinate>} */ (coordinates), opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Append the passed point to this multipoint.\n     * @param {Point} point Point.\n     * @api\n     */\n    MultiPoint.prototype.appendPoint = function (point) {\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = point.getFlatCoordinates().slice();\n        }\n        else {\n            extend(this.flatCoordinates, point.getFlatCoordinates());\n        }\n        this.changed();\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!MultiPoint} Clone.\n     * @api\n     */\n    MultiPoint.prototype.clone = function () {\n        var multiPoint = new MultiPoint(this.flatCoordinates.slice(), this.layout);\n        multiPoint.applyProperties(this);\n        return multiPoint;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    MultiPoint.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        var flatCoordinates = this.flatCoordinates;\n        var stride = this.stride;\n        for (var i = 0, ii = flatCoordinates.length; i < ii; i += stride) {\n            var squaredDistance = squaredDx(x, y, flatCoordinates[i], flatCoordinates[i + 1]);\n            if (squaredDistance < minSquaredDistance) {\n                minSquaredDistance = squaredDistance;\n                for (var j = 0; j < stride; ++j) {\n                    closestPoint[j] = flatCoordinates[i + j];\n                }\n                closestPoint.length = stride;\n            }\n        }\n        return minSquaredDistance;\n    };\n    /**\n     * Return the coordinates of the multipoint.\n     * @return {Array<import(\"../coordinate.js\").Coordinate>} Coordinates.\n     * @api\n     */\n    MultiPoint.prototype.getCoordinates = function () {\n        return inflateCoordinates(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride);\n    };\n    /**\n     * Return the point at the specified index.\n     * @param {number} index Index.\n     * @return {Point} Point.\n     * @api\n     */\n    MultiPoint.prototype.getPoint = function (index) {\n        var n = !this.flatCoordinates\n            ? 0\n            : this.flatCoordinates.length / this.stride;\n        if (index < 0 || n <= index) {\n            return null;\n        }\n        return new Point(this.flatCoordinates.slice(index * this.stride, (index + 1) * this.stride), this.layout);\n    };\n    /**\n     * Return the points of this multipoint.\n     * @return {Array<Point>} Points.\n     * @api\n     */\n    MultiPoint.prototype.getPoints = function () {\n        var flatCoordinates = this.flatCoordinates;\n        var layout = this.layout;\n        var stride = this.stride;\n        /** @type {Array<Point>} */\n        var points = [];\n        for (var i = 0, ii = flatCoordinates.length; i < ii; i += stride) {\n            var point = new Point(flatCoordinates.slice(i, i + stride), layout);\n            points.push(point);\n        }\n        return points;\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    MultiPoint.prototype.getType = function () {\n        return GeometryType.MULTI_POINT;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    MultiPoint.prototype.intersectsExtent = function (extent) {\n        var flatCoordinates = this.flatCoordinates;\n        var stride = this.stride;\n        for (var i = 0, ii = flatCoordinates.length; i < ii; i += stride) {\n            var x = flatCoordinates[i];\n            var y = flatCoordinates[i + 1];\n            if (containsXY(extent, x, y)) {\n                return true;\n            }\n        }\n        return false;\n    };\n    /**\n     * Set the coordinates of the multipoint.\n     * @param {!Array<import(\"../coordinate.js\").Coordinate>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    MultiPoint.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 1);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        this.flatCoordinates.length = deflateCoordinates(this.flatCoordinates, 0, coordinates, this.stride);\n        this.changed();\n    };\n    return MultiPoint;\n}(SimpleGeometry));\nexport default MultiPoint;\n//# sourceMappingURL=MultiPoint.js.map","/**\n * @module ol/geom/flat/center\n */\nimport { createEmpty, createOrUpdateFromFlatCoordinates } from '../../extent.js';\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @return {Array<number>} Flat centers.\n */\nexport function linearRingss(flatCoordinates, offset, endss, stride) {\n    var flatCenters = [];\n    var extent = createEmpty();\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        extent = createOrUpdateFromFlatCoordinates(flatCoordinates, offset, ends[0], stride);\n        flatCenters.push((extent[0] + extent[2]) / 2, (extent[1] + extent[3]) / 2);\n        offset = ends[ends.length - 1];\n    }\n    return flatCenters;\n}\n//# sourceMappingURL=center.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/MultiPolygon\n */\nimport GeometryLayout from './GeometryLayout.js';\nimport GeometryType from './GeometryType.js';\nimport MultiPoint from './MultiPoint.js';\nimport Polygon from './Polygon.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { assignClosestMultiArrayPoint, multiArrayMaxSquaredDelta, } from './flat/closest.js';\nimport { closestSquaredDistanceXY } from '../extent.js';\nimport { deflateMultiCoordinatesArray } from './flat/deflate.js';\nimport { extend } from '../array.js';\nimport { getInteriorPointsOfMultiArray } from './flat/interiorpoint.js';\nimport { inflateMultiCoordinatesArray } from './flat/inflate.js';\nimport { intersectsLinearRingMultiArray } from './flat/intersectsextent.js';\nimport { linearRingssAreOriented, orientLinearRingsArray, } from './flat/orient.js';\nimport { linearRingss as linearRingssArea } from './flat/area.js';\nimport { linearRingss as linearRingssCenter } from './flat/center.js';\nimport { linearRingssContainsXY } from './flat/contains.js';\nimport { quantizeMultiArray } from './flat/simplify.js';\n/**\n * @classdesc\n * Multi-polygon geometry.\n *\n * @api\n */\nvar MultiPolygon = /** @class */ (function (_super) {\n    __extends(MultiPolygon, _super);\n    /**\n     * @param {Array<Array<Array<import(\"../coordinate.js\").Coordinate>>|Polygon>|Array<number>} coordinates Coordinates.\n     *     For internal use, flat coordinates in combination with `opt_layout` and `opt_endss` are also accepted.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @param {Array<Array<number>>} [opt_endss] Array of ends for internal use with flat coordinates.\n     */\n    function MultiPolygon(coordinates, opt_layout, opt_endss) {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {Array<Array<number>>}\n         * @private\n         */\n        _this.endss_ = [];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.flatInteriorPointsRevision_ = -1;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.flatInteriorPoints_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDeltaRevision_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.orientedRevision_ = -1;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.orientedFlatCoordinates_ = null;\n        if (!opt_endss && !Array.isArray(coordinates[0])) {\n            var layout = _this.getLayout();\n            var polygons = /** @type {Array<Polygon>} */ (coordinates);\n            var flatCoordinates = [];\n            var endss = [];\n            for (var i = 0, ii = polygons.length; i < ii; ++i) {\n                var polygon = polygons[i];\n                if (i === 0) {\n                    layout = polygon.getLayout();\n                }\n                var offset = flatCoordinates.length;\n                var ends = polygon.getEnds();\n                for (var j = 0, jj = ends.length; j < jj; ++j) {\n                    ends[j] += offset;\n                }\n                extend(flatCoordinates, polygon.getFlatCoordinates());\n                endss.push(ends);\n            }\n            opt_layout = layout;\n            coordinates = flatCoordinates;\n            opt_endss = endss;\n        }\n        if (opt_layout !== undefined && opt_endss) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n            _this.endss_ = opt_endss;\n        }\n        else {\n            _this.setCoordinates(\n            /** @type {Array<Array<Array<import(\"../coordinate.js\").Coordinate>>>} */ (coordinates), opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Append the passed polygon to this multipolygon.\n     * @param {Polygon} polygon Polygon.\n     * @api\n     */\n    MultiPolygon.prototype.appendPolygon = function (polygon) {\n        /** @type {Array<number>} */\n        var ends;\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = polygon.getFlatCoordinates().slice();\n            ends = polygon.getEnds().slice();\n            this.endss_.push();\n        }\n        else {\n            var offset = this.flatCoordinates.length;\n            extend(this.flatCoordinates, polygon.getFlatCoordinates());\n            ends = polygon.getEnds().slice();\n            for (var i = 0, ii = ends.length; i < ii; ++i) {\n                ends[i] += offset;\n            }\n        }\n        this.endss_.push(ends);\n        this.changed();\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!MultiPolygon} Clone.\n     * @api\n     */\n    MultiPolygon.prototype.clone = function () {\n        var len = this.endss_.length;\n        var newEndss = new Array(len);\n        for (var i = 0; i < len; ++i) {\n            newEndss[i] = this.endss_[i].slice();\n        }\n        var multiPolygon = new MultiPolygon(this.flatCoordinates.slice(), this.layout, newEndss);\n        multiPolygon.applyProperties(this);\n        return multiPolygon;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    MultiPolygon.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        if (this.maxDeltaRevision_ != this.getRevision()) {\n            this.maxDelta_ = Math.sqrt(multiArrayMaxSquaredDelta(this.flatCoordinates, 0, this.endss_, this.stride, 0));\n            this.maxDeltaRevision_ = this.getRevision();\n        }\n        return assignClosestMultiArrayPoint(this.getOrientedFlatCoordinates(), 0, this.endss_, this.stride, this.maxDelta_, true, x, y, closestPoint, minSquaredDistance);\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @return {boolean} Contains (x, y).\n     */\n    MultiPolygon.prototype.containsXY = function (x, y) {\n        return linearRingssContainsXY(this.getOrientedFlatCoordinates(), 0, this.endss_, this.stride, x, y);\n    };\n    /**\n     * Return the area of the multipolygon on projected plane.\n     * @return {number} Area (on projected plane).\n     * @api\n     */\n    MultiPolygon.prototype.getArea = function () {\n        return linearRingssArea(this.getOrientedFlatCoordinates(), 0, this.endss_, this.stride);\n    };\n    /**\n     * Get the coordinate array for this geometry.  This array has the structure\n     * of a GeoJSON coordinate array for multi-polygons.\n     *\n     * @param {boolean} [opt_right] Orient coordinates according to the right-hand\n     *     rule (counter-clockwise for exterior and clockwise for interior rings).\n     *     If `false`, coordinates will be oriented according to the left-hand rule\n     *     (clockwise for exterior and counter-clockwise for interior rings).\n     *     By default, coordinate orientation will depend on how the geometry was\n     *     constructed.\n     * @return {Array<Array<Array<import(\"../coordinate.js\").Coordinate>>>} Coordinates.\n     * @api\n     */\n    MultiPolygon.prototype.getCoordinates = function (opt_right) {\n        var flatCoordinates;\n        if (opt_right !== undefined) {\n            flatCoordinates = this.getOrientedFlatCoordinates().slice();\n            orientLinearRingsArray(flatCoordinates, 0, this.endss_, this.stride, opt_right);\n        }\n        else {\n            flatCoordinates = this.flatCoordinates;\n        }\n        return inflateMultiCoordinatesArray(flatCoordinates, 0, this.endss_, this.stride);\n    };\n    /**\n     * @return {Array<Array<number>>} Endss.\n     */\n    MultiPolygon.prototype.getEndss = function () {\n        return this.endss_;\n    };\n    /**\n     * @return {Array<number>} Flat interior points.\n     */\n    MultiPolygon.prototype.getFlatInteriorPoints = function () {\n        if (this.flatInteriorPointsRevision_ != this.getRevision()) {\n            var flatCenters = linearRingssCenter(this.flatCoordinates, 0, this.endss_, this.stride);\n            this.flatInteriorPoints_ = getInteriorPointsOfMultiArray(this.getOrientedFlatCoordinates(), 0, this.endss_, this.stride, flatCenters);\n            this.flatInteriorPointsRevision_ = this.getRevision();\n        }\n        return this.flatInteriorPoints_;\n    };\n    /**\n     * Return the interior points as {@link module:ol/geom/MultiPoint multipoint}.\n     * @return {MultiPoint} Interior points as XYM coordinates, where M is\n     * the length of the horizontal intersection that the point belongs to.\n     * @api\n     */\n    MultiPolygon.prototype.getInteriorPoints = function () {\n        return new MultiPoint(this.getFlatInteriorPoints().slice(), GeometryLayout.XYM);\n    };\n    /**\n     * @return {Array<number>} Oriented flat coordinates.\n     */\n    MultiPolygon.prototype.getOrientedFlatCoordinates = function () {\n        if (this.orientedRevision_ != this.getRevision()) {\n            var flatCoordinates = this.flatCoordinates;\n            if (linearRingssAreOriented(flatCoordinates, 0, this.endss_, this.stride)) {\n                this.orientedFlatCoordinates_ = flatCoordinates;\n            }\n            else {\n                this.orientedFlatCoordinates_ = flatCoordinates.slice();\n                this.orientedFlatCoordinates_.length = orientLinearRingsArray(this.orientedFlatCoordinates_, 0, this.endss_, this.stride);\n            }\n            this.orientedRevision_ = this.getRevision();\n        }\n        return this.orientedFlatCoordinates_;\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {MultiPolygon} Simplified MultiPolygon.\n     * @protected\n     */\n    MultiPolygon.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        var simplifiedFlatCoordinates = [];\n        var simplifiedEndss = [];\n        simplifiedFlatCoordinates.length = quantizeMultiArray(this.flatCoordinates, 0, this.endss_, this.stride, Math.sqrt(squaredTolerance), simplifiedFlatCoordinates, 0, simplifiedEndss);\n        return new MultiPolygon(simplifiedFlatCoordinates, GeometryLayout.XY, simplifiedEndss);\n    };\n    /**\n     * Return the polygon at the specified index.\n     * @param {number} index Index.\n     * @return {Polygon} Polygon.\n     * @api\n     */\n    MultiPolygon.prototype.getPolygon = function (index) {\n        if (index < 0 || this.endss_.length <= index) {\n            return null;\n        }\n        var offset;\n        if (index === 0) {\n            offset = 0;\n        }\n        else {\n            var prevEnds = this.endss_[index - 1];\n            offset = prevEnds[prevEnds.length - 1];\n        }\n        var ends = this.endss_[index].slice();\n        var end = ends[ends.length - 1];\n        if (offset !== 0) {\n            for (var i = 0, ii = ends.length; i < ii; ++i) {\n                ends[i] -= offset;\n            }\n        }\n        return new Polygon(this.flatCoordinates.slice(offset, end), this.layout, ends);\n    };\n    /**\n     * Return the polygons of this multipolygon.\n     * @return {Array<Polygon>} Polygons.\n     * @api\n     */\n    MultiPolygon.prototype.getPolygons = function () {\n        var layout = this.layout;\n        var flatCoordinates = this.flatCoordinates;\n        var endss = this.endss_;\n        var polygons = [];\n        var offset = 0;\n        for (var i = 0, ii = endss.length; i < ii; ++i) {\n            var ends = endss[i].slice();\n            var end = ends[ends.length - 1];\n            if (offset !== 0) {\n                for (var j = 0, jj = ends.length; j < jj; ++j) {\n                    ends[j] -= offset;\n                }\n            }\n            var polygon = new Polygon(flatCoordinates.slice(offset, end), layout, ends);\n            polygons.push(polygon);\n            offset = end;\n        }\n        return polygons;\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    MultiPolygon.prototype.getType = function () {\n        return GeometryType.MULTI_POLYGON;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    MultiPolygon.prototype.intersectsExtent = function (extent) {\n        return intersectsLinearRingMultiArray(this.getOrientedFlatCoordinates(), 0, this.endss_, this.stride, extent);\n    };\n    /**\n     * Set the coordinates of the multipolygon.\n     * @param {!Array<Array<Array<import(\"../coordinate.js\").Coordinate>>>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    MultiPolygon.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 3);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        var endss = deflateMultiCoordinatesArray(this.flatCoordinates, 0, coordinates, this.stride, this.endss_);\n        if (endss.length === 0) {\n            this.flatCoordinates.length = 0;\n        }\n        else {\n            var lastEnds = endss[endss.length - 1];\n            this.flatCoordinates.length =\n                lastEnds.length === 0 ? 0 : lastEnds[lastEnds.length - 1];\n        }\n        this.changed();\n    };\n    return MultiPolygon;\n}(SimpleGeometry));\nexport default MultiPolygon;\n//# sourceMappingURL=MultiPolygon.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Draw\n */\nimport Circle from '../geom/Circle.js';\nimport Event from '../events/Event.js';\nimport EventType from '../events/EventType.js';\nimport Feature from '../Feature.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport InteractionProperty from './Property.js';\nimport LineString from '../geom/LineString.js';\nimport MapBrowserEvent from '../MapBrowserEvent.js';\nimport MapBrowserEventType from '../MapBrowserEventType.js';\nimport MultiLineString from '../geom/MultiLineString.js';\nimport MultiPoint from '../geom/MultiPoint.js';\nimport MultiPolygon from '../geom/MultiPolygon.js';\nimport Point from '../geom/Point.js';\nimport PointerInteraction from './Pointer.js';\nimport Polygon, { fromCircle, makeRegular } from '../geom/Polygon.js';\nimport VectorLayer from '../layer/Vector.js';\nimport VectorSource from '../source/Vector.js';\nimport { FALSE, TRUE } from '../functions.js';\nimport { always, noModifierKeys, shiftKeyOnly } from '../events/condition.js';\nimport { boundingExtent, getBottomLeft, getBottomRight, getTopLeft, getTopRight, } from '../extent.js';\nimport { createEditingStyle } from '../style/Style.js';\nimport { fromUserCoordinate, getUserProjection } from '../proj.js';\nimport { squaredDistance as squaredCoordinateDistance } from '../coordinate.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../geom/GeometryType.js\").default} type Geometry type of\n * the geometries being drawn with this instance.\n * @property {number} [clickTolerance=6] The maximum distance in pixels between\n * \"down\" and \"up\" for a \"up\" event to be considered a \"click\" event and\n * actually add a point/vertex to the geometry being drawn.  The default of `6`\n * was chosen for the draw interaction to behave correctly on mouse as well as\n * on touch devices.\n * @property {import(\"../Collection.js\").default<Feature>} [features]\n * Destination collection for the drawn features.\n * @property {VectorSource} [source] Destination source for\n * the drawn features.\n * @property {number} [dragVertexDelay=500] Delay in milliseconds after pointerdown\n * before the current vertex can be dragged to its exact position.\n * @property {number} [snapTolerance=12] Pixel distance for snapping to the\n * drawing finish. Must be greater than `0`.\n * @property {boolean} [stopClick=false] Stop click, singleclick, and\n * doubleclick events from firing during drawing.\n * @property {number} [maxPoints] The number of points that can be drawn before\n * a polygon ring or line string is finished. By default there is no\n * restriction.\n * @property {number} [minPoints] The number of points that must be drawn\n * before a polygon ring or line string can be finished. Default is `3` for\n * polygon rings and `2` for line strings.\n * @property {import(\"../events/condition.js\").Condition} [finishCondition] A function\n * that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether the drawing can be finished. Not used when drawing\n * POINT or MULTI_POINT geometries.\n * @property {import(\"../style/Style.js\").StyleLike} [style]\n * Style for sketch features.\n * @property {GeometryFunction} [geometryFunction]\n * Function that is called when a geometry's coordinates are updated.\n * @property {string} [geometryName] Geometry name to use for features created\n * by the draw interaction.\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * By default {@link module:ol/events/condition.noModifierKeys}, i.e. a click,\n * adds a vertex or deactivates freehand drawing.\n * @property {boolean} [freehand=false] Operate in freehand mode for lines,\n * polygons, and circles.  This makes the interaction always operate in freehand\n * mode and takes precedence over any `freehandCondition` option.\n * @property {import(\"../events/condition.js\").Condition} [freehandCondition]\n * Condition that activates freehand drawing for lines and polygons. This\n * function takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and\n * returns a boolean to indicate whether that event should be handled. The\n * default is {@link module:ol/events/condition.shiftKeyOnly}, meaning that the\n * Shift key activates freehand drawing.\n * @property {boolean} [wrapX=false] Wrap the world horizontally on the sketch\n * overlay.\n */\n/**\n * Coordinate type when drawing points.\n * @typedef {import(\"../coordinate.js\").Coordinate} PointCoordType\n */\n/**\n * Coordinate type when drawing lines.\n * @typedef {Array<import(\"../coordinate.js\").Coordinate>} LineCoordType\n */\n/**\n * Coordinate type when drawing polygons.\n * @typedef {Array<Array<import(\"../coordinate.js\").Coordinate>>} PolyCoordType\n */\n/**\n * Types used for drawing coordinates.\n * @typedef {PointCoordType|LineCoordType|PolyCoordType} SketchCoordType\n */\n/**\n * Function that takes an array of coordinates and an optional existing geometry\n * and a projection as arguments, and returns a geometry. The optional existing\n * geometry is the geometry that is returned when the function is called without\n * a second argument.\n * @typedef {function(!SketchCoordType, import(\"../geom/SimpleGeometry.js\").default,\n *     import(\"../proj/Projection.js\").default):\n *     import(\"../geom/SimpleGeometry.js\").default} GeometryFunction\n */\n/**\n * Draw mode.  This collapses multi-part geometry types with their single-part\n * cousins.\n * @enum {string}\n */\nvar Mode = {\n    POINT: 'Point',\n    LINE_STRING: 'LineString',\n    POLYGON: 'Polygon',\n    CIRCLE: 'Circle',\n};\n/**\n * @enum {string}\n */\nvar DrawEventType = {\n    /**\n     * Triggered upon feature draw start\n     * @event DrawEvent#drawstart\n     * @api\n     */\n    DRAWSTART: 'drawstart',\n    /**\n     * Triggered upon feature draw end\n     * @event DrawEvent#drawend\n     * @api\n     */\n    DRAWEND: 'drawend',\n    /**\n     * Triggered upon feature draw abortion\n     * @event DrawEvent#drawabort\n     * @api\n     */\n    DRAWABORT: 'drawabort',\n};\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/Draw~Draw} instances are\n * instances of this type.\n */\nvar DrawEvent = /** @class */ (function (_super) {\n    __extends(DrawEvent, _super);\n    /**\n     * @param {DrawEventType} type Type.\n     * @param {Feature} feature The feature drawn.\n     */\n    function DrawEvent(type, feature) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The feature being drawn.\n         * @type {Feature}\n         * @api\n         */\n        _this.feature = feature;\n        return _this;\n    }\n    return DrawEvent;\n}(Event));\nexport { DrawEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'drawabort'|'drawend'|'drawstart', DrawEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'drawabort'|'drawend'|'drawstart', Return>} DrawOnSignature\n */\n/**\n * @classdesc\n * Interaction for drawing feature geometries.\n *\n * @fires DrawEvent\n * @api\n */\nvar Draw = /** @class */ (function (_super) {\n    __extends(Draw, _super);\n    /**\n     * @param {Options} options Options.\n     */\n    function Draw(options) {\n        var _this = this;\n        var pointerOptions = /** @type {import(\"./Pointer.js\").Options} */ (options);\n        if (!pointerOptions.stopDown) {\n            pointerOptions.stopDown = FALSE;\n        }\n        _this = _super.call(this, pointerOptions) || this;\n        /***\n         * @type {DrawOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {DrawOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {DrawOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.shouldHandle_ = false;\n        /**\n         * @type {import(\"../pixel.js\").Pixel}\n         * @private\n         */\n        _this.downPx_ = null;\n        /**\n         * @type {?}\n         * @private\n         */\n        _this.downTimeout_;\n        /**\n         * @type {number|undefined}\n         * @private\n         */\n        _this.lastDragTime_;\n        /**\n         * Pointer type of the last pointermove event\n         * @type {string}\n         * @private\n         */\n        _this.pointerType_;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.freehand_ = false;\n        /**\n         * Target source for drawn features.\n         * @type {VectorSource}\n         * @private\n         */\n        _this.source_ = options.source ? options.source : null;\n        /**\n         * Target collection for drawn features.\n         * @type {import(\"../Collection.js\").default<Feature>}\n         * @private\n         */\n        _this.features_ = options.features ? options.features : null;\n        /**\n         * Pixel distance for snapping.\n         * @type {number}\n         * @private\n         */\n        _this.snapTolerance_ = options.snapTolerance ? options.snapTolerance : 12;\n        /**\n         * Geometry type.\n         * @type {import(\"../geom/GeometryType.js\").default}\n         * @private\n         */\n        _this.type_ = /** @type {import(\"../geom/GeometryType.js\").default} */ (options.type);\n        /**\n         * Drawing mode (derived from geometry type.\n         * @type {Mode}\n         * @private\n         */\n        _this.mode_ = getMode(_this.type_);\n        /**\n         * Stop click, singleclick, and doubleclick events from firing during drawing.\n         * Default is `false`.\n         * @type {boolean}\n         * @private\n         */\n        _this.stopClick_ = !!options.stopClick;\n        /**\n         * The number of points that must be drawn before a polygon ring or line\n         * string can be finished.  The default is 3 for polygon rings and 2 for\n         * line strings.\n         * @type {number}\n         * @private\n         */\n        _this.minPoints_ = options.minPoints\n            ? options.minPoints\n            : _this.mode_ === Mode.POLYGON\n                ? 3\n                : 2;\n        /**\n         * The number of points that can be drawn before a polygon ring or line string\n         * is finished. The default is no restriction.\n         * @type {number}\n         * @private\n         */\n        _this.maxPoints_ =\n            _this.mode_ === Mode.CIRCLE\n                ? 2\n                : options.maxPoints\n                    ? options.maxPoints\n                    : Infinity;\n        /**\n         * A function to decide if a potential finish coordinate is permissible\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.finishCondition_ = options.finishCondition\n            ? options.finishCondition\n            : TRUE;\n        var geometryFunction = options.geometryFunction;\n        if (!geometryFunction) {\n            var mode_1 = _this.mode_;\n            if (mode_1 === Mode.CIRCLE) {\n                /**\n                 * @param {!LineCoordType} coordinates The coordinates.\n                 * @param {import(\"../geom/SimpleGeometry.js\").default|undefined} geometry Optional geometry.\n                 * @param {import(\"../proj/Projection.js\").default} projection The view projection.\n                 * @return {import(\"../geom/SimpleGeometry.js\").default} A geometry.\n                 */\n                geometryFunction = function (coordinates, geometry, projection) {\n                    var circle = geometry\n                        ? /** @type {Circle} */ (geometry)\n                        : new Circle([NaN, NaN]);\n                    var center = fromUserCoordinate(coordinates[0], projection);\n                    var squaredLength = squaredCoordinateDistance(center, fromUserCoordinate(coordinates[coordinates.length - 1], projection));\n                    circle.setCenterAndRadius(center, Math.sqrt(squaredLength));\n                    var userProjection = getUserProjection();\n                    if (userProjection) {\n                        circle.transform(projection, userProjection);\n                    }\n                    return circle;\n                };\n            }\n            else {\n                var Constructor_1;\n                if (mode_1 === Mode.POINT) {\n                    Constructor_1 = Point;\n                }\n                else if (mode_1 === Mode.LINE_STRING) {\n                    Constructor_1 = LineString;\n                }\n                else if (mode_1 === Mode.POLYGON) {\n                    Constructor_1 = Polygon;\n                }\n                /**\n                 * @param {!LineCoordType} coordinates The coordinates.\n                 * @param {import(\"../geom/SimpleGeometry.js\").default|undefined} geometry Optional geometry.\n                 * @param {import(\"../proj/Projection.js\").default} projection The view projection.\n                 * @return {import(\"../geom/SimpleGeometry.js\").default} A geometry.\n                 */\n                geometryFunction = function (coordinates, geometry, projection) {\n                    if (geometry) {\n                        if (mode_1 === Mode.POLYGON) {\n                            if (coordinates[0].length) {\n                                // Add a closing coordinate to match the first\n                                geometry.setCoordinates([\n                                    coordinates[0].concat([coordinates[0][0]]),\n                                ]);\n                            }\n                            else {\n                                geometry.setCoordinates([]);\n                            }\n                        }\n                        else {\n                            geometry.setCoordinates(coordinates);\n                        }\n                    }\n                    else {\n                        geometry = new Constructor_1(coordinates);\n                    }\n                    return geometry;\n                };\n            }\n        }\n        /**\n         * @type {GeometryFunction}\n         * @private\n         */\n        _this.geometryFunction_ = geometryFunction;\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.dragVertexDelay_ =\n            options.dragVertexDelay !== undefined ? options.dragVertexDelay : 500;\n        /**\n         * Finish coordinate for the feature (first point for polygons, last point for\n         * linestrings).\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @private\n         */\n        _this.finishCoordinate_ = null;\n        /**\n         * Sketch feature.\n         * @type {Feature}\n         * @private\n         */\n        _this.sketchFeature_ = null;\n        /**\n         * Sketch point.\n         * @type {Feature<Point>}\n         * @private\n         */\n        _this.sketchPoint_ = null;\n        /**\n         * Sketch coordinates. Used when drawing a line or polygon.\n         * @type {SketchCoordType}\n         * @private\n         */\n        _this.sketchCoords_ = null;\n        /**\n         * Sketch line. Used when drawing polygon.\n         * @type {Feature<LineString>}\n         * @private\n         */\n        _this.sketchLine_ = null;\n        /**\n         * Sketch line coordinates. Used when drawing a polygon or circle.\n         * @type {LineCoordType}\n         * @private\n         */\n        _this.sketchLineCoords_ = null;\n        /**\n         * Squared tolerance for handling up events.  If the squared distance\n         * between a down and up event is greater than this tolerance, up events\n         * will not be handled.\n         * @type {number}\n         * @private\n         */\n        _this.squaredClickTolerance_ = options.clickTolerance\n            ? options.clickTolerance * options.clickTolerance\n            : 36;\n        /**\n         * Draw overlay where our sketch features are drawn.\n         * @type {VectorLayer}\n         * @private\n         */\n        _this.overlay_ = new VectorLayer({\n            source: new VectorSource({\n                useSpatialIndex: false,\n                wrapX: options.wrapX ? options.wrapX : false,\n            }),\n            style: options.style ? options.style : getDefaultStyleFunction(),\n            updateWhileInteracting: true,\n        });\n        /**\n         * Name of the geometry attribute for newly created features.\n         * @type {string|undefined}\n         * @private\n         */\n        _this.geometryName_ = options.geometryName;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : noModifierKeys;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.freehandCondition_;\n        if (options.freehand) {\n            _this.freehandCondition_ = always;\n        }\n        else {\n            _this.freehandCondition_ = options.freehandCondition\n                ? options.freehandCondition\n                : shiftKeyOnly;\n        }\n        _this.addChangeListener(InteractionProperty.ACTIVE, _this.updateState_);\n        return _this;\n    }\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Draw.prototype.setMap = function (map) {\n        _super.prototype.setMap.call(this, map);\n        this.updateState_();\n    };\n    /**\n     * Get the overlay layer that this interaction renders sketch features to.\n     * @return {VectorLayer} Overlay layer.\n     * @api\n     */\n    Draw.prototype.getOverlay = function () {\n        return this.overlay_;\n    };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} and may actually draw or finish the drawing.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @api\n     */\n    Draw.prototype.handleEvent = function (event) {\n        if (event.originalEvent.type === EventType.CONTEXTMENU) {\n            // Avoid context menu for long taps when drawing on mobile\n            event.originalEvent.preventDefault();\n        }\n        this.freehand_ =\n            this.mode_ !== Mode.POINT && this.freehandCondition_(event);\n        var move = event.type === MapBrowserEventType.POINTERMOVE;\n        var pass = true;\n        if (!this.freehand_ &&\n            this.lastDragTime_ &&\n            event.type === MapBrowserEventType.POINTERDRAG) {\n            var now = Date.now();\n            if (now - this.lastDragTime_ >= this.dragVertexDelay_) {\n                this.downPx_ = event.pixel;\n                this.shouldHandle_ = !this.freehand_;\n                move = true;\n            }\n            else {\n                this.lastDragTime_ = undefined;\n            }\n            if (this.shouldHandle_ && this.downTimeout_ !== undefined) {\n                clearTimeout(this.downTimeout_);\n                this.downTimeout_ = undefined;\n            }\n        }\n        if (this.freehand_ &&\n            event.type === MapBrowserEventType.POINTERDRAG &&\n            this.sketchFeature_ !== null) {\n            this.addToDrawing_(event.coordinate);\n            pass = false;\n        }\n        else if (this.freehand_ &&\n            event.type === MapBrowserEventType.POINTERDOWN) {\n            pass = false;\n        }\n        else if (move && this.getPointerCount() < 2) {\n            pass = event.type === MapBrowserEventType.POINTERMOVE;\n            if (pass && this.freehand_) {\n                this.handlePointerMove_(event);\n                if (this.shouldHandle_) {\n                    // Avoid page scrolling when freehand drawing on mobile\n                    event.originalEvent.preventDefault();\n                }\n            }\n            else if (event.originalEvent.pointerType === 'mouse' ||\n                (event.type === MapBrowserEventType.POINTERDRAG &&\n                    this.downTimeout_ === undefined)) {\n                this.handlePointerMove_(event);\n            }\n        }\n        else if (event.type === MapBrowserEventType.DBLCLICK) {\n            pass = false;\n        }\n        return _super.prototype.handleEvent.call(this, event) && pass;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Draw.prototype.handleDownEvent = function (event) {\n        this.shouldHandle_ = !this.freehand_;\n        if (this.freehand_) {\n            this.downPx_ = event.pixel;\n            if (!this.finishCoordinate_) {\n                this.startDrawing_(event.coordinate);\n            }\n            return true;\n        }\n        else if (this.condition_(event)) {\n            this.lastDragTime_ = Date.now();\n            this.downTimeout_ = setTimeout(function () {\n                this.handlePointerMove_(new MapBrowserEvent(MapBrowserEventType.POINTERMOVE, event.map, event.originalEvent, false, event.frameState));\n            }.bind(this), this.dragVertexDelay_);\n            this.downPx_ = event.pixel;\n            return true;\n        }\n        else {\n            this.lastDragTime_ = undefined;\n            return false;\n        }\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Draw.prototype.handleUpEvent = function (event) {\n        var pass = true;\n        if (this.getPointerCount() === 0) {\n            if (this.downTimeout_) {\n                clearTimeout(this.downTimeout_);\n                this.downTimeout_ = undefined;\n            }\n            this.handlePointerMove_(event);\n            if (this.shouldHandle_) {\n                var startingToDraw = !this.finishCoordinate_;\n                if (startingToDraw) {\n                    this.startDrawing_(event.coordinate);\n                }\n                if (!startingToDraw && this.freehand_) {\n                    this.finishDrawing();\n                }\n                else if (!this.freehand_ &&\n                    (!startingToDraw || this.mode_ === Mode.POINT)) {\n                    if (this.atFinish_(event.pixel)) {\n                        if (this.finishCondition_(event)) {\n                            this.finishDrawing();\n                        }\n                    }\n                    else {\n                        this.addToDrawing_(event.coordinate);\n                    }\n                }\n                pass = false;\n            }\n            else if (this.freehand_) {\n                this.abortDrawing();\n            }\n        }\n        if (!pass && this.stopClick_) {\n            event.preventDefault();\n        }\n        return pass;\n    };\n    /**\n     * Handle move events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event A move event.\n     * @private\n     */\n    Draw.prototype.handlePointerMove_ = function (event) {\n        this.pointerType_ = event.originalEvent.pointerType;\n        if (this.downPx_ &&\n            ((!this.freehand_ && this.shouldHandle_) ||\n                (this.freehand_ && !this.shouldHandle_))) {\n            var downPx = this.downPx_;\n            var clickPx = event.pixel;\n            var dx = downPx[0] - clickPx[0];\n            var dy = downPx[1] - clickPx[1];\n            var squaredDistance = dx * dx + dy * dy;\n            this.shouldHandle_ = this.freehand_\n                ? squaredDistance > this.squaredClickTolerance_\n                : squaredDistance <= this.squaredClickTolerance_;\n            if (!this.shouldHandle_) {\n                return;\n            }\n        }\n        if (this.finishCoordinate_) {\n            this.modifyDrawing_(event.coordinate);\n        }\n        else {\n            this.createOrUpdateSketchPoint_(event.coordinate.slice());\n        }\n    };\n    /**\n     * Determine if an event is within the snapping tolerance of the start coord.\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @return {boolean} The event is within the snapping tolerance of the start.\n     * @private\n     */\n    Draw.prototype.atFinish_ = function (pixel) {\n        var at = false;\n        if (this.sketchFeature_) {\n            var potentiallyDone = false;\n            var potentiallyFinishCoordinates = [this.finishCoordinate_];\n            var mode = this.mode_;\n            if (mode === Mode.POINT) {\n                at = true;\n            }\n            else if (mode === Mode.CIRCLE) {\n                at = this.sketchCoords_.length === 2;\n            }\n            else if (mode === Mode.LINE_STRING) {\n                potentiallyDone = this.sketchCoords_.length > this.minPoints_;\n            }\n            else if (mode === Mode.POLYGON) {\n                var sketchCoords = /** @type {PolyCoordType} */ (this.sketchCoords_);\n                potentiallyDone = sketchCoords[0].length > this.minPoints_;\n                potentiallyFinishCoordinates = [\n                    sketchCoords[0][0],\n                    sketchCoords[0][sketchCoords[0].length - 2],\n                ];\n            }\n            if (potentiallyDone) {\n                var map = this.getMap();\n                for (var i = 0, ii = potentiallyFinishCoordinates.length; i < ii; i++) {\n                    var finishCoordinate = potentiallyFinishCoordinates[i];\n                    var finishPixel = map.getPixelFromCoordinate(finishCoordinate);\n                    var dx = pixel[0] - finishPixel[0];\n                    var dy = pixel[1] - finishPixel[1];\n                    var snapTolerance = this.freehand_ ? 1 : this.snapTolerance_;\n                    at = Math.sqrt(dx * dx + dy * dy) <= snapTolerance;\n                    if (at) {\n                        this.finishCoordinate_ = finishCoordinate;\n                        break;\n                    }\n                }\n            }\n        }\n        return at;\n    };\n    /**\n     * @param {import(\"../coordinate\").Coordinate} coordinates Coordinate.\n     * @private\n     */\n    Draw.prototype.createOrUpdateSketchPoint_ = function (coordinates) {\n        if (!this.sketchPoint_) {\n            this.sketchPoint_ = new Feature(new Point(coordinates));\n            this.updateSketchFeatures_();\n        }\n        else {\n            var sketchPointGeom = this.sketchPoint_.getGeometry();\n            sketchPointGeom.setCoordinates(coordinates);\n        }\n    };\n    /**\n     * @param {import(\"../geom/Polygon.js\").default} geometry Polygon geometry.\n     * @private\n     */\n    Draw.prototype.createOrUpdateCustomSketchLine_ = function (geometry) {\n        if (!this.sketchLine_) {\n            this.sketchLine_ = new Feature();\n        }\n        var ring = geometry.getLinearRing(0);\n        var sketchLineGeom = this.sketchLine_.getGeometry();\n        if (!sketchLineGeom) {\n            sketchLineGeom = new LineString(ring.getFlatCoordinates(), ring.getLayout());\n            this.sketchLine_.setGeometry(sketchLineGeom);\n        }\n        else {\n            sketchLineGeom.setFlatCoordinates(ring.getLayout(), ring.getFlatCoordinates());\n            sketchLineGeom.changed();\n        }\n    };\n    /**\n     * Start the drawing.\n     * @param {import(\"../coordinate.js\").Coordinate} start Start coordinate.\n     * @private\n     */\n    Draw.prototype.startDrawing_ = function (start) {\n        var projection = this.getMap().getView().getProjection();\n        this.finishCoordinate_ = start;\n        if (this.mode_ === Mode.POINT) {\n            this.sketchCoords_ = start.slice();\n        }\n        else if (this.mode_ === Mode.POLYGON) {\n            this.sketchCoords_ = [[start.slice(), start.slice()]];\n            this.sketchLineCoords_ = this.sketchCoords_[0];\n        }\n        else {\n            this.sketchCoords_ = [start.slice(), start.slice()];\n        }\n        if (this.sketchLineCoords_) {\n            this.sketchLine_ = new Feature(new LineString(this.sketchLineCoords_));\n        }\n        var geometry = this.geometryFunction_(this.sketchCoords_, undefined, projection);\n        this.sketchFeature_ = new Feature();\n        if (this.geometryName_) {\n            this.sketchFeature_.setGeometryName(this.geometryName_);\n        }\n        this.sketchFeature_.setGeometry(geometry);\n        this.updateSketchFeatures_();\n        this.dispatchEvent(new DrawEvent(DrawEventType.DRAWSTART, this.sketchFeature_));\n    };\n    /**\n     * Modify the drawing.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @private\n     */\n    Draw.prototype.modifyDrawing_ = function (coordinate) {\n        var map = this.getMap();\n        var geometry = this.sketchFeature_.getGeometry();\n        var projection = map.getView().getProjection();\n        var coordinates, last;\n        if (this.mode_ === Mode.POINT) {\n            last = this.sketchCoords_;\n        }\n        else if (this.mode_ === Mode.POLYGON) {\n            coordinates = /** @type {PolyCoordType} */ (this.sketchCoords_)[0];\n            last = coordinates[coordinates.length - 1];\n            if (this.atFinish_(map.getPixelFromCoordinate(coordinate))) {\n                // snap to finish\n                coordinate = this.finishCoordinate_.slice();\n            }\n        }\n        else {\n            coordinates = this.sketchCoords_;\n            last = coordinates[coordinates.length - 1];\n        }\n        last[0] = coordinate[0];\n        last[1] = coordinate[1];\n        this.geometryFunction_(\n        /** @type {!LineCoordType} */ (this.sketchCoords_), geometry, projection);\n        if (this.sketchPoint_) {\n            var sketchPointGeom = this.sketchPoint_.getGeometry();\n            sketchPointGeom.setCoordinates(coordinate);\n        }\n        if (geometry.getType() === GeometryType.POLYGON &&\n            this.mode_ !== Mode.POLYGON) {\n            this.createOrUpdateCustomSketchLine_(/** @type {Polygon} */ (geometry));\n        }\n        else if (this.sketchLineCoords_) {\n            var sketchLineGeom = this.sketchLine_.getGeometry();\n            sketchLineGeom.setCoordinates(this.sketchLineCoords_);\n        }\n        this.updateSketchFeatures_();\n    };\n    /**\n     * Add a new coordinate to the drawing.\n     * @param {!PointCoordType} coordinate Coordinate\n     * @private\n     */\n    Draw.prototype.addToDrawing_ = function (coordinate) {\n        var geometry = this.sketchFeature_.getGeometry();\n        var projection = this.getMap().getView().getProjection();\n        var done;\n        var coordinates;\n        var mode = this.mode_;\n        if (mode === Mode.LINE_STRING || mode === Mode.CIRCLE) {\n            this.finishCoordinate_ = coordinate.slice();\n            coordinates = /** @type {LineCoordType} */ (this.sketchCoords_);\n            if (coordinates.length >= this.maxPoints_) {\n                if (this.freehand_) {\n                    coordinates.pop();\n                }\n                else {\n                    done = true;\n                }\n            }\n            coordinates.push(coordinate.slice());\n            this.geometryFunction_(coordinates, geometry, projection);\n        }\n        else if (mode === Mode.POLYGON) {\n            coordinates = /** @type {PolyCoordType} */ (this.sketchCoords_)[0];\n            if (coordinates.length >= this.maxPoints_) {\n                if (this.freehand_) {\n                    coordinates.pop();\n                }\n                else {\n                    done = true;\n                }\n            }\n            coordinates.push(coordinate.slice());\n            if (done) {\n                this.finishCoordinate_ = coordinates[0];\n            }\n            this.geometryFunction_(this.sketchCoords_, geometry, projection);\n        }\n        this.createOrUpdateSketchPoint_(coordinate.slice());\n        this.updateSketchFeatures_();\n        if (done) {\n            this.finishDrawing();\n        }\n    };\n    /**\n     * Remove last point of the feature currently being drawn. Does not do anything when\n     * drawing POINT or MULTI_POINT geometries.\n     * @api\n     */\n    Draw.prototype.removeLastPoint = function () {\n        if (!this.sketchFeature_) {\n            return;\n        }\n        var geometry = this.sketchFeature_.getGeometry();\n        var projection = this.getMap().getView().getProjection();\n        var coordinates;\n        var mode = this.mode_;\n        if (mode === Mode.LINE_STRING || mode === Mode.CIRCLE) {\n            coordinates = /** @type {LineCoordType} */ (this.sketchCoords_);\n            coordinates.splice(-2, 1);\n            if (coordinates.length >= 2) {\n                this.finishCoordinate_ = coordinates[coordinates.length - 2].slice();\n                var finishCoordinate = this.finishCoordinate_.slice();\n                coordinates[coordinates.length - 1] = finishCoordinate;\n                this.createOrUpdateSketchPoint_(finishCoordinate);\n            }\n            this.geometryFunction_(coordinates, geometry, projection);\n            if (geometry.getType() === GeometryType.POLYGON && this.sketchLine_) {\n                this.createOrUpdateCustomSketchLine_(/** @type {Polygon} */ (geometry));\n            }\n        }\n        else if (mode === Mode.POLYGON) {\n            coordinates = /** @type {PolyCoordType} */ (this.sketchCoords_)[0];\n            coordinates.splice(-2, 1);\n            var sketchLineGeom = this.sketchLine_.getGeometry();\n            if (coordinates.length >= 2) {\n                var finishCoordinate = coordinates[coordinates.length - 2].slice();\n                coordinates[coordinates.length - 1] = finishCoordinate;\n                this.createOrUpdateSketchPoint_(finishCoordinate);\n            }\n            sketchLineGeom.setCoordinates(coordinates);\n            this.geometryFunction_(this.sketchCoords_, geometry, projection);\n        }\n        if (coordinates.length === 1) {\n            this.abortDrawing();\n        }\n        this.updateSketchFeatures_();\n    };\n    /**\n     * Stop drawing and add the sketch feature to the target layer.\n     * The {@link module:ol/interaction/Draw~DrawEventType.DRAWEND} event is\n     * dispatched before inserting the feature.\n     * @api\n     */\n    Draw.prototype.finishDrawing = function () {\n        var sketchFeature = this.abortDrawing_();\n        if (!sketchFeature) {\n            return;\n        }\n        var coordinates = this.sketchCoords_;\n        var geometry = sketchFeature.getGeometry();\n        var projection = this.getMap().getView().getProjection();\n        if (this.mode_ === Mode.LINE_STRING) {\n            // remove the redundant last point\n            coordinates.pop();\n            this.geometryFunction_(coordinates, geometry, projection);\n        }\n        else if (this.mode_ === Mode.POLYGON) {\n            // remove the redundant last point in ring\n            /** @type {PolyCoordType} */ (coordinates)[0].pop();\n            this.geometryFunction_(coordinates, geometry, projection);\n            coordinates = geometry.getCoordinates();\n        }\n        // cast multi-part geometries\n        if (this.type_ === GeometryType.MULTI_POINT) {\n            sketchFeature.setGeometry(new MultiPoint([/** @type {PointCoordType} */ (coordinates)]));\n        }\n        else if (this.type_ === GeometryType.MULTI_LINE_STRING) {\n            sketchFeature.setGeometry(new MultiLineString([/** @type {LineCoordType} */ (coordinates)]));\n        }\n        else if (this.type_ === GeometryType.MULTI_POLYGON) {\n            sketchFeature.setGeometry(new MultiPolygon([/** @type {PolyCoordType} */ (coordinates)]));\n        }\n        // First dispatch event to allow full set up of feature\n        this.dispatchEvent(new DrawEvent(DrawEventType.DRAWEND, sketchFeature));\n        // Then insert feature\n        if (this.features_) {\n            this.features_.push(sketchFeature);\n        }\n        if (this.source_) {\n            this.source_.addFeature(sketchFeature);\n        }\n    };\n    /**\n     * Stop drawing without adding the sketch feature to the target layer.\n     * @return {Feature} The sketch feature (or null if none).\n     * @private\n     */\n    Draw.prototype.abortDrawing_ = function () {\n        this.finishCoordinate_ = null;\n        var sketchFeature = this.sketchFeature_;\n        this.sketchFeature_ = null;\n        this.sketchPoint_ = null;\n        this.sketchLine_ = null;\n        this.overlay_.getSource().clear(true);\n        return sketchFeature;\n    };\n    /**\n     * Stop drawing without adding the sketch feature to the target layer.\n     * @api\n     */\n    Draw.prototype.abortDrawing = function () {\n        var sketchFeature = this.abortDrawing_();\n        if (sketchFeature) {\n            this.dispatchEvent(new DrawEvent(DrawEventType.DRAWABORT, sketchFeature));\n        }\n    };\n    /**\n     * Append coordinates to the end of the geometry that is currently being drawn.\n     * This can be used when drawing LineStrings or Polygons. Coordinates will\n     * either be appended to the current LineString or the outer ring of the current\n     * Polygon. If no geometry is being drawn, a new one will be created.\n     * @param {!LineCoordType} coordinates Linear coordinates to be appended to\n     * the coordinate array.\n     * @api\n     */\n    Draw.prototype.appendCoordinates = function (coordinates) {\n        var mode = this.mode_;\n        var newDrawing = !this.sketchFeature_;\n        if (newDrawing) {\n            this.startDrawing_(coordinates[0]);\n        }\n        /** @type {LineCoordType} */\n        var sketchCoords;\n        if (mode === Mode.LINE_STRING || mode === Mode.CIRCLE) {\n            sketchCoords = /** @type {LineCoordType} */ (this.sketchCoords_);\n        }\n        else if (mode === Mode.POLYGON) {\n            sketchCoords =\n                this.sketchCoords_ && this.sketchCoords_.length\n                    ? /** @type {PolyCoordType} */ (this.sketchCoords_)[0]\n                    : [];\n        }\n        else {\n            return;\n        }\n        if (newDrawing) {\n            sketchCoords.shift();\n        }\n        // Remove last coordinate from sketch drawing (this coordinate follows cursor position)\n        sketchCoords.pop();\n        // Append coordinate list\n        for (var i = 0; i < coordinates.length; i++) {\n            this.addToDrawing_(coordinates[i]);\n        }\n        var ending = coordinates[coordinates.length - 1];\n        // Duplicate last coordinate for sketch drawing (cursor position)\n        this.addToDrawing_(ending);\n        this.modifyDrawing_(ending);\n    };\n    /**\n     * Initiate draw mode by starting from an existing geometry which will\n     * receive new additional points. This only works on features with\n     * `LineString` geometries, where the interaction will extend lines by adding\n     * points to the end of the coordinates array.\n     * This will change the original feature, instead of drawing a copy.\n     *\n     * The function will dispatch a `drawstart` event.\n     *\n     * @param {!Feature<LineString>} feature Feature to be extended.\n     * @api\n     */\n    Draw.prototype.extend = function (feature) {\n        var geometry = feature.getGeometry();\n        var lineString = geometry;\n        this.sketchFeature_ = feature;\n        this.sketchCoords_ = lineString.getCoordinates();\n        var last = this.sketchCoords_[this.sketchCoords_.length - 1];\n        this.finishCoordinate_ = last.slice();\n        this.sketchCoords_.push(last.slice());\n        this.sketchPoint_ = new Feature(new Point(last));\n        this.updateSketchFeatures_();\n        this.dispatchEvent(new DrawEvent(DrawEventType.DRAWSTART, this.sketchFeature_));\n    };\n    /**\n     * Redraw the sketch features.\n     * @private\n     */\n    Draw.prototype.updateSketchFeatures_ = function () {\n        var sketchFeatures = [];\n        if (this.sketchFeature_) {\n            sketchFeatures.push(this.sketchFeature_);\n        }\n        if (this.sketchLine_) {\n            sketchFeatures.push(this.sketchLine_);\n        }\n        if (this.sketchPoint_) {\n            sketchFeatures.push(this.sketchPoint_);\n        }\n        var overlaySource = this.overlay_.getSource();\n        overlaySource.clear(true);\n        overlaySource.addFeatures(sketchFeatures);\n    };\n    /**\n     * @private\n     */\n    Draw.prototype.updateState_ = function () {\n        var map = this.getMap();\n        var active = this.getActive();\n        if (!map || !active) {\n            this.abortDrawing();\n        }\n        this.overlay_.setMap(active ? map : null);\n    };\n    return Draw;\n}(PointerInteraction));\n/**\n * @return {import(\"../style/Style.js\").StyleFunction} Styles.\n */\nfunction getDefaultStyleFunction() {\n    var styles = createEditingStyle();\n    return function (feature, resolution) {\n        return styles[feature.getGeometry().getType()];\n    };\n}\n/**\n * Create a `geometryFunction` for `type: 'Circle'` that will create a regular\n * polygon with a user specified number of sides and start angle instead of a\n * `import(\"../geom/Circle.js\").Circle` geometry.\n * @param {number} [opt_sides] Number of sides of the regular polygon.\n *     Default is 32.\n * @param {number} [opt_angle] Angle of the first point in counter-clockwise\n *     radians. 0 means East.\n *     Default is the angle defined by the heading from the center of the\n *     regular polygon to the current pointer position.\n * @return {GeometryFunction} Function that draws a polygon.\n * @api\n */\nexport function createRegularPolygon(opt_sides, opt_angle) {\n    return function (coordinates, opt_geometry, projection) {\n        var center = fromUserCoordinate(\n        /** @type {LineCoordType} */ (coordinates)[0], projection);\n        var end = fromUserCoordinate(\n        /** @type {LineCoordType} */ (coordinates)[coordinates.length - 1], projection);\n        var radius = Math.sqrt(squaredCoordinateDistance(center, end));\n        var geometry = opt_geometry\n            ? /** @type {Polygon} */ (opt_geometry)\n            : fromCircle(new Circle(center), opt_sides);\n        var angle = opt_angle;\n        if (!opt_angle && opt_angle !== 0) {\n            var x = end[0] - center[0];\n            var y = end[1] - center[1];\n            angle = Math.atan2(y, x);\n        }\n        makeRegular(geometry, center, radius, angle);\n        var userProjection = getUserProjection();\n        if (userProjection) {\n            geometry.transform(projection, userProjection);\n        }\n        return geometry;\n    };\n}\n/**\n * Create a `geometryFunction` that will create a box-shaped polygon (aligned\n * with the coordinate system axes).  Use this with the draw interaction and\n * `type: 'Circle'` to return a box instead of a circle geometry.\n * @return {GeometryFunction} Function that draws a box-shaped polygon.\n * @api\n */\nexport function createBox() {\n    return function (coordinates, opt_geometry, projection) {\n        var extent = boundingExtent(\n        /** @type {LineCoordType} */ ([\n            coordinates[0],\n            coordinates[coordinates.length - 1],\n        ]).map(function (coordinate) {\n            return fromUserCoordinate(coordinate, projection);\n        }));\n        var boxCoordinates = [\n            [\n                getBottomLeft(extent),\n                getBottomRight(extent),\n                getTopRight(extent),\n                getTopLeft(extent),\n                getBottomLeft(extent),\n            ],\n        ];\n        var geometry = opt_geometry;\n        if (geometry) {\n            geometry.setCoordinates(boxCoordinates);\n        }\n        else {\n            geometry = new Polygon(boxCoordinates);\n        }\n        var userProjection = getUserProjection();\n        if (userProjection) {\n            geometry.transform(projection, userProjection);\n        }\n        return geometry;\n    };\n}\n/**\n * Get the drawing mode.  The mode for multi-part geometries is the same as for\n * their single-part cousins.\n * @param {import(\"../geom/GeometryType.js\").default} type Geometry type.\n * @return {Mode} Drawing mode.\n */\nfunction getMode(type) {\n    switch (type) {\n        case GeometryType.POINT:\n        case GeometryType.MULTI_POINT:\n            return Mode.POINT;\n        case GeometryType.LINE_STRING:\n        case GeometryType.MULTI_LINE_STRING:\n            return Mode.LINE_STRING;\n        case GeometryType.POLYGON:\n        case GeometryType.MULTI_POLYGON:\n            return Mode.POLYGON;\n        case GeometryType.CIRCLE:\n            return Mode.CIRCLE;\n        default:\n            throw new Error('Invalid type: ' + type);\n    }\n}\nexport default Draw;\n//# sourceMappingURL=Draw.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Extent\n */\nimport Event from '../events/Event.js';\nimport Feature from '../Feature.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport MapBrowserEventType from '../MapBrowserEventType.js';\nimport Point from '../geom/Point.js';\nimport PointerInteraction from './Pointer.js';\nimport VectorLayer from '../layer/Vector.js';\nimport VectorSource from '../source/Vector.js';\nimport { always } from '../events/condition.js';\nimport { boundingExtent, getArea } from '../extent.js';\nimport { closestOnSegment, distance as coordinateDistance, squaredDistance as squaredCoordinateDistance, squaredDistanceToSegment, } from '../coordinate.js';\nimport { createEditingStyle } from '../style/Style.js';\nimport { fromExtent as polygonFromExtent } from '../geom/Polygon.js';\nimport { toUserExtent } from '../proj.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.always}.\n * @property {import(\"../extent.js\").Extent} [extent] Initial extent. Defaults to no\n * initial extent.\n * @property {import(\"../style/Style.js\").StyleLike} [boxStyle]\n * Style for the drawn extent box. Defaults to the `Polygon` editing style\n * documented in {@link module:ol/style/Style~Style}\n * @property {number} [pixelTolerance=10] Pixel tolerance for considering the\n * pointer close enough to a segment or vertex for editing.\n * @property {import(\"../style/Style.js\").StyleLike} [pointerStyle]\n * Style for the cursor used to draw the extent. Defaults to the `Point` editing style\n * documented in {@link module:ol/style/Style~Style}\n * @property {boolean} [wrapX=false] Wrap the drawn extent across multiple maps\n * in the X direction? Only affects visuals, not functionality.\n */\n/**\n * @enum {string}\n */\nvar ExtentEventType = {\n    /**\n     * Triggered after the extent is changed\n     * @event ExtentEvent#extentchanged\n     * @api\n     */\n    EXTENTCHANGED: 'extentchanged',\n};\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/Extent~Extent} instances are\n * instances of this type.\n */\nvar ExtentEvent = /** @class */ (function (_super) {\n    __extends(ExtentEvent, _super);\n    /**\n     * @param {import(\"../extent.js\").Extent} extent the new extent\n     */\n    function ExtentEvent(extent) {\n        var _this = _super.call(this, ExtentEventType.EXTENTCHANGED) || this;\n        /**\n         * The current extent.\n         * @type {import(\"../extent.js\").Extent}\n         * @api\n         */\n        _this.extent = extent;\n        return _this;\n    }\n    return ExtentEvent;\n}(Event));\nexport { ExtentEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'extentchanged', ExtentEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'extentchanged', Return>} ExtentOnSignature\n */\n/**\n * @classdesc\n * Allows the user to draw a vector box by clicking and dragging on the map.\n * Once drawn, the vector box can be modified by dragging its vertices or edges.\n * This interaction is only supported for mouse devices.\n *\n * @fires ExtentEvent\n * @api\n */\nvar Extent = /** @class */ (function (_super) {\n    __extends(Extent, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Extent(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        _this = _super.call(this, /** @type {import(\"./Pointer.js\").Options} */ (options)) || this;\n        /***\n         * @type {ExtentOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ExtentOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ExtentOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * Condition\n         * @type {import(\"../events/condition.js\").Condition}\n         * @private\n         */\n        _this.condition_ = options.condition ? options.condition : always;\n        /**\n         * Extent of the drawn box\n         * @type {import(\"../extent.js\").Extent}\n         * @private\n         */\n        _this.extent_ = null;\n        /**\n         * Handler for pointer move events\n         * @type {function (import(\"../coordinate.js\").Coordinate): import(\"../extent.js\").Extent|null}\n         * @private\n         */\n        _this.pointerHandler_ = null;\n        /**\n         * Pixel threshold to snap to extent\n         * @type {number}\n         * @private\n         */\n        _this.pixelTolerance_ =\n            options.pixelTolerance !== undefined ? options.pixelTolerance : 10;\n        /**\n         * Is the pointer snapped to an extent vertex\n         * @type {boolean}\n         * @private\n         */\n        _this.snappedToVertex_ = false;\n        /**\n         * Feature for displaying the visible extent\n         * @type {Feature}\n         * @private\n         */\n        _this.extentFeature_ = null;\n        /**\n         * Feature for displaying the visible pointer\n         * @type {Feature<Point>}\n         * @private\n         */\n        _this.vertexFeature_ = null;\n        if (!opt_options) {\n            opt_options = {};\n        }\n        /**\n         * Layer for the extentFeature\n         * @type {VectorLayer}\n         * @private\n         */\n        _this.extentOverlay_ = new VectorLayer({\n            source: new VectorSource({\n                useSpatialIndex: false,\n                wrapX: !!opt_options.wrapX,\n            }),\n            style: opt_options.boxStyle\n                ? opt_options.boxStyle\n                : getDefaultExtentStyleFunction(),\n            updateWhileAnimating: true,\n            updateWhileInteracting: true,\n        });\n        /**\n         * Layer for the vertexFeature\n         * @type {VectorLayer}\n         * @private\n         */\n        _this.vertexOverlay_ = new VectorLayer({\n            source: new VectorSource({\n                useSpatialIndex: false,\n                wrapX: !!opt_options.wrapX,\n            }),\n            style: opt_options.pointerStyle\n                ? opt_options.pointerStyle\n                : getDefaultPointerStyleFunction(),\n            updateWhileAnimating: true,\n            updateWhileInteracting: true,\n        });\n        if (opt_options.extent) {\n            _this.setExtent(opt_options.extent);\n        }\n        return _this;\n    }\n    /**\n     * @param {import(\"../pixel.js\").Pixel} pixel cursor location\n     * @param {import(\"../PluggableMap.js\").default} map map\n     * @return {import(\"../coordinate.js\").Coordinate|null} snapped vertex on extent\n     * @private\n     */\n    Extent.prototype.snapToVertex_ = function (pixel, map) {\n        var pixelCoordinate = map.getCoordinateFromPixelInternal(pixel);\n        var sortByDistance = function (a, b) {\n            return (squaredDistanceToSegment(pixelCoordinate, a) -\n                squaredDistanceToSegment(pixelCoordinate, b));\n        };\n        var extent = this.getExtentInternal();\n        if (extent) {\n            //convert extents to line segments and find the segment closest to pixelCoordinate\n            var segments = getSegments(extent);\n            segments.sort(sortByDistance);\n            var closestSegment = segments[0];\n            var vertex = closestOnSegment(pixelCoordinate, closestSegment);\n            var vertexPixel = map.getPixelFromCoordinateInternal(vertex);\n            //if the distance is within tolerance, snap to the segment\n            if (coordinateDistance(pixel, vertexPixel) <= this.pixelTolerance_) {\n                //test if we should further snap to a vertex\n                var pixel1 = map.getPixelFromCoordinateInternal(closestSegment[0]);\n                var pixel2 = map.getPixelFromCoordinateInternal(closestSegment[1]);\n                var squaredDist1 = squaredCoordinateDistance(vertexPixel, pixel1);\n                var squaredDist2 = squaredCoordinateDistance(vertexPixel, pixel2);\n                var dist = Math.sqrt(Math.min(squaredDist1, squaredDist2));\n                this.snappedToVertex_ = dist <= this.pixelTolerance_;\n                if (this.snappedToVertex_) {\n                    vertex =\n                        squaredDist1 > squaredDist2 ? closestSegment[1] : closestSegment[0];\n                }\n                return vertex;\n            }\n        }\n        return null;\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent pointer move event\n     * @private\n     */\n    Extent.prototype.handlePointerMove_ = function (mapBrowserEvent) {\n        var pixel = mapBrowserEvent.pixel;\n        var map = mapBrowserEvent.map;\n        var vertex = this.snapToVertex_(pixel, map);\n        if (!vertex) {\n            vertex = map.getCoordinateFromPixelInternal(pixel);\n        }\n        this.createOrUpdatePointerFeature_(vertex);\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent extent\n     * @return {Feature} extent as featrue\n     * @private\n     */\n    Extent.prototype.createOrUpdateExtentFeature_ = function (extent) {\n        var extentFeature = this.extentFeature_;\n        if (!extentFeature) {\n            if (!extent) {\n                extentFeature = new Feature({});\n            }\n            else {\n                extentFeature = new Feature(polygonFromExtent(extent));\n            }\n            this.extentFeature_ = extentFeature;\n            this.extentOverlay_.getSource().addFeature(extentFeature);\n        }\n        else {\n            if (!extent) {\n                extentFeature.setGeometry(undefined);\n            }\n            else {\n                extentFeature.setGeometry(polygonFromExtent(extent));\n            }\n        }\n        return extentFeature;\n    };\n    /**\n     * @param {import(\"../coordinate.js\").Coordinate} vertex location of feature\n     * @return {Feature} vertex as feature\n     * @private\n     */\n    Extent.prototype.createOrUpdatePointerFeature_ = function (vertex) {\n        var vertexFeature = this.vertexFeature_;\n        if (!vertexFeature) {\n            vertexFeature = new Feature(new Point(vertex));\n            this.vertexFeature_ = vertexFeature;\n            this.vertexOverlay_.getSource().addFeature(vertexFeature);\n        }\n        else {\n            var geometry = vertexFeature.getGeometry();\n            geometry.setCoordinates(vertex);\n        }\n        return vertexFeature;\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     */\n    Extent.prototype.handleEvent = function (mapBrowserEvent) {\n        if (!mapBrowserEvent.originalEvent || !this.condition_(mapBrowserEvent)) {\n            return true;\n        }\n        //display pointer (if not dragging)\n        if (mapBrowserEvent.type == MapBrowserEventType.POINTERMOVE &&\n            !this.handlingDownUpSequence) {\n            this.handlePointerMove_(mapBrowserEvent);\n        }\n        //call pointer to determine up/down/drag\n        _super.prototype.handleEvent.call(this, mapBrowserEvent);\n        //return false to stop propagation\n        return false;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Extent.prototype.handleDownEvent = function (mapBrowserEvent) {\n        var pixel = mapBrowserEvent.pixel;\n        var map = mapBrowserEvent.map;\n        var extent = this.getExtentInternal();\n        var vertex = this.snapToVertex_(pixel, map);\n        //find the extent corner opposite the passed corner\n        var getOpposingPoint = function (point) {\n            var x_ = null;\n            var y_ = null;\n            if (point[0] == extent[0]) {\n                x_ = extent[2];\n            }\n            else if (point[0] == extent[2]) {\n                x_ = extent[0];\n            }\n            if (point[1] == extent[1]) {\n                y_ = extent[3];\n            }\n            else if (point[1] == extent[3]) {\n                y_ = extent[1];\n            }\n            if (x_ !== null && y_ !== null) {\n                return [x_, y_];\n            }\n            return null;\n        };\n        if (vertex && extent) {\n            var x = vertex[0] == extent[0] || vertex[0] == extent[2] ? vertex[0] : null;\n            var y = vertex[1] == extent[1] || vertex[1] == extent[3] ? vertex[1] : null;\n            //snap to point\n            if (x !== null && y !== null) {\n                this.pointerHandler_ = getPointHandler(getOpposingPoint(vertex));\n                //snap to edge\n            }\n            else if (x !== null) {\n                this.pointerHandler_ = getEdgeHandler(getOpposingPoint([x, extent[1]]), getOpposingPoint([x, extent[3]]));\n            }\n            else if (y !== null) {\n                this.pointerHandler_ = getEdgeHandler(getOpposingPoint([extent[0], y]), getOpposingPoint([extent[2], y]));\n            }\n            //no snap - new bbox\n        }\n        else {\n            vertex = map.getCoordinateFromPixelInternal(pixel);\n            this.setExtent([vertex[0], vertex[1], vertex[0], vertex[1]]);\n            this.pointerHandler_ = getPointHandler(vertex);\n        }\n        return true; //event handled; start downup sequence\n    };\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    Extent.prototype.handleDragEvent = function (mapBrowserEvent) {\n        if (this.pointerHandler_) {\n            var pixelCoordinate = mapBrowserEvent.coordinate;\n            this.setExtent(this.pointerHandler_(pixelCoordinate));\n            this.createOrUpdatePointerFeature_(pixelCoordinate);\n        }\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Extent.prototype.handleUpEvent = function (mapBrowserEvent) {\n        this.pointerHandler_ = null;\n        //If bbox is zero area, set to null;\n        var extent = this.getExtentInternal();\n        if (!extent || getArea(extent) === 0) {\n            this.setExtent(null);\n        }\n        return false; //Stop handling downup sequence\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Extent.prototype.setMap = function (map) {\n        this.extentOverlay_.setMap(map);\n        this.vertexOverlay_.setMap(map);\n        _super.prototype.setMap.call(this, map);\n    };\n    /**\n     * Returns the current drawn extent in the view projection (or user projection if set)\n     *\n     * @return {import(\"../extent.js\").Extent} Drawn extent in the view projection.\n     * @api\n     */\n    Extent.prototype.getExtent = function () {\n        return toUserExtent(this.getExtentInternal(), this.getMap().getView().getProjection());\n    };\n    /**\n     * Returns the current drawn extent in the view projection\n     *\n     * @return {import(\"../extent.js\").Extent} Drawn extent in the view projection.\n     * @api\n     */\n    Extent.prototype.getExtentInternal = function () {\n        return this.extent_;\n    };\n    /**\n     * Manually sets the drawn extent, using the view projection.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent\n     * @api\n     */\n    Extent.prototype.setExtent = function (extent) {\n        //Null extent means no bbox\n        this.extent_ = extent ? extent : null;\n        this.createOrUpdateExtentFeature_(extent);\n        this.dispatchEvent(new ExtentEvent(this.extent_));\n    };\n    return Extent;\n}(PointerInteraction));\n/**\n * Returns the default style for the drawn bbox\n *\n * @return {import(\"../style/Style.js\").StyleFunction} Default Extent style\n */\nfunction getDefaultExtentStyleFunction() {\n    var style = createEditingStyle();\n    return function (feature, resolution) {\n        return style[GeometryType.POLYGON];\n    };\n}\n/**\n * Returns the default style for the pointer\n *\n * @return {import(\"../style/Style.js\").StyleFunction} Default pointer style\n */\nfunction getDefaultPointerStyleFunction() {\n    var style = createEditingStyle();\n    return function (feature, resolution) {\n        return style[GeometryType.POINT];\n    };\n}\n/**\n * @param {import(\"../coordinate.js\").Coordinate} fixedPoint corner that will be unchanged in the new extent\n * @return {function (import(\"../coordinate.js\").Coordinate): import(\"../extent.js\").Extent} event handler\n */\nfunction getPointHandler(fixedPoint) {\n    return function (point) {\n        return boundingExtent([fixedPoint, point]);\n    };\n}\n/**\n * @param {import(\"../coordinate.js\").Coordinate} fixedP1 first corner that will be unchanged in the new extent\n * @param {import(\"../coordinate.js\").Coordinate} fixedP2 second corner that will be unchanged in the new extent\n * @return {function (import(\"../coordinate.js\").Coordinate): import(\"../extent.js\").Extent|null} event handler\n */\nfunction getEdgeHandler(fixedP1, fixedP2) {\n    if (fixedP1[0] == fixedP2[0]) {\n        return function (point) {\n            return boundingExtent([fixedP1, [point[0], fixedP2[1]]]);\n        };\n    }\n    else if (fixedP1[1] == fixedP2[1]) {\n        return function (point) {\n            return boundingExtent([fixedP1, [fixedP2[0], point[1]]]);\n        };\n    }\n    else {\n        return null;\n    }\n}\n/**\n * @param {import(\"../extent.js\").Extent} extent extent\n * @return {Array<Array<import(\"../coordinate.js\").Coordinate>>} extent line segments\n */\nfunction getSegments(extent) {\n    return [\n        [\n            [extent[0], extent[1]],\n            [extent[0], extent[3]],\n        ],\n        [\n            [extent[0], extent[3]],\n            [extent[2], extent[3]],\n        ],\n        [\n            [extent[2], extent[3]],\n            [extent[2], extent[1]],\n        ],\n        [\n            [extent[2], extent[1]],\n            [extent[0], extent[1]],\n        ],\n    ];\n}\nexport default Extent;\n//# sourceMappingURL=Extent.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Modify\n */\nimport Collection from '../Collection.js';\nimport CollectionEventType from '../CollectionEventType.js';\nimport Event from '../events/Event.js';\nimport EventType from '../events/EventType.js';\nimport Feature from '../Feature.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport MapBrowserEventType from '../MapBrowserEventType.js';\nimport Point from '../geom/Point.js';\nimport PointerInteraction from './Pointer.js';\nimport RBush from '../structs/RBush.js';\nimport VectorEventType from '../source/VectorEventType.js';\nimport VectorLayer from '../layer/Vector.js';\nimport VectorSource from '../source/Vector.js';\nimport { altKeyOnly, always, primaryAction, singleClick, } from '../events/condition.js';\nimport { boundingExtent, buffer as bufferExtent, createOrUpdateFromCoordinate as createExtent, } from '../extent.js';\nimport { closestOnSegment, distance as coordinateDistance, equals as coordinatesEqual, squaredDistance as squaredCoordinateDistance, squaredDistanceToSegment, } from '../coordinate.js';\nimport { createEditingStyle } from '../style/Style.js';\nimport { equals, includes } from '../array.js';\nimport { fromCircle } from '../geom/Polygon.js';\nimport { fromUserCoordinate, fromUserExtent, getUserProjection, toUserCoordinate, toUserExtent, } from '../proj.js';\nimport { getUid } from '../util.js';\n/**\n * The segment index assigned to a circle's center when\n * breaking up a circle into ModifySegmentDataType segments.\n * @type {number}\n */\nvar CIRCLE_CENTER_INDEX = 0;\n/**\n * The segment index assigned to a circle's circumference when\n * breaking up a circle into ModifySegmentDataType segments.\n * @type {number}\n */\nvar CIRCLE_CIRCUMFERENCE_INDEX = 1;\nvar tempExtent = [0, 0, 0, 0];\nvar tempSegment = [];\n/**\n * @enum {string}\n */\nvar ModifyEventType = {\n    /**\n     * Triggered upon feature modification start\n     * @event ModifyEvent#modifystart\n     * @api\n     */\n    MODIFYSTART: 'modifystart',\n    /**\n     * Triggered upon feature modification end\n     * @event ModifyEvent#modifyend\n     * @api\n     */\n    MODIFYEND: 'modifyend',\n};\n/**\n * @typedef {Object} SegmentData\n * @property {Array<number>} [depth] Depth.\n * @property {import(\"../Feature\").FeatureLike} feature Feature.\n * @property {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n * @property {number} [index] Index.\n * @property {Array<Array<number>>} segment Segment.\n * @property {Array<SegmentData>} [featureSegments] FeatureSegments.\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event will be considered to add or move a\n * vertex to the sketch. Default is\n * {@link module:ol/events/condition.primaryAction}.\n * @property {import(\"../events/condition.js\").Condition} [deleteCondition] A function\n * that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. By default,\n * {@link module:ol/events/condition.singleClick} with\n * {@link module:ol/events/condition.altKeyOnly} results in a vertex deletion.\n * @property {import(\"../events/condition.js\").Condition} [insertVertexCondition] A\n * function that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and\n * returns a boolean to indicate whether a new vertex should be added to the sketch\n * features. Default is {@link module:ol/events/condition.always}.\n * @property {number} [pixelTolerance=10] Pixel tolerance for considering the\n * pointer close enough to a segment or vertex for editing.\n * @property {import(\"../style/Style.js\").StyleLike} [style]\n * Style used for the modification point or vertex. For linestrings and polygons, this will\n * be the affected vertex, for circles a point along the circle, and for points the actual\n * point. If not configured, the default edit style is used (see {@link module:ol/style/Style~Style}).\n * When using a style function, the point feature passed to the function will have a `features`\n * property - an array whose entries are the features that are being modified, and a `geometries`\n * property - an array whose entries are the geometries that are being modified. Both arrays are\n * in the same order. The `geometries` are only useful when modifying geometry collections, where\n * the geometry will be the particular geometry from the collection that is being modified.\n * @property {VectorSource} [source] The vector source with\n * features to modify.  If a vector source is not provided, a feature collection\n * must be provided with the `features` option.\n * @property {boolean|import(\"../layer/BaseVector\").default} [hitDetection] When configured, point\n * features will be considered for modification based on their visual appearance, instead of being within\n * the `pixelTolerance` from the pointer location. When a {@link module:ol/layer/BaseVector} is\n * provided, only the rendered representation of the features on that layer will be considered.\n * @property {Collection<Feature>} [features]\n * The features the interaction works on.  If a feature collection is not\n * provided, a vector source must be provided with the `source` option.\n * @property {boolean} [wrapX=false] Wrap the world horizontally on the sketch\n * overlay.\n * @property {boolean} [snapToPointer=!hitDetection] The vertex, point or segment being modified snaps to the\n * pointer coordinate when clicked within the `pixelTolerance`.\n */\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/Modify~Modify} instances are\n * instances of this type.\n */\nvar ModifyEvent = /** @class */ (function (_super) {\n    __extends(ModifyEvent, _super);\n    /**\n     * @param {ModifyEventType} type Type.\n     * @param {Collection<import(\"../Feature\").FeatureLike>} features\n     * The features modified.\n     * @param {import(\"../MapBrowserEvent.js\").default} MapBrowserEvent\n     * Associated {@link module:ol/MapBrowserEvent}.\n     */\n    function ModifyEvent(type, features, MapBrowserEvent) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The features being modified.\n         * @type {Collection<import(\"../Feature\").FeatureLike>}\n         * @api\n         */\n        _this.features = features;\n        /**\n         * Associated {@link module:ol/MapBrowserEvent}.\n         * @type {import(\"../MapBrowserEvent.js\").default}\n         * @api\n         */\n        _this.mapBrowserEvent = MapBrowserEvent;\n        return _this;\n    }\n    return ModifyEvent;\n}(Event));\nexport { ModifyEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'modifyend'|'modifystart', ModifyEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'modifyend'|'modifystart', Return>} ModifyOnSignature\n */\n/**\n * @classdesc\n * Interaction for modifying feature geometries.  To modify features that have\n * been added to an existing source, construct the modify interaction with the\n * `source` option.  If you want to modify features in a collection (for example,\n * the collection used by a select interaction), construct the interaction with\n * the `features` option.  The interaction must be constructed with either a\n * `source` or `features` option.\n *\n * Cartesian distance from the pointer is used to determine the features that\n * will be modified. This means that geometries will only be considered for\n * modification when they are within the configured `pixelTolerane`. For point\n * geometries, the `hitDetection` option can be used to match their visual\n * appearance.\n *\n * By default, the interaction will allow deletion of vertices when the `alt`\n * key is pressed.  To configure the interaction with a different condition\n * for deletion, use the `deleteCondition` option.\n * @fires ModifyEvent\n * @api\n */\nvar Modify = /** @class */ (function (_super) {\n    __extends(Modify, _super);\n    /**\n     * @param {Options} options Options.\n     */\n    function Modify(options) {\n        var _this = _super.call(this, /** @type {import(\"./Pointer.js\").Options} */ (options)) || this;\n        /***\n         * @type {ModifyOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ModifyOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ModifyOnSignature<void>}\n         */\n        _this.un;\n        /** @private */\n        _this.boundHandleFeatureChange_ = _this.handleFeatureChange_.bind(_this);\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : primaryAction;\n        /**\n         * @private\n         * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Browser event.\n         * @return {boolean} Combined condition result.\n         */\n        _this.defaultDeleteCondition_ = function (mapBrowserEvent) {\n            return altKeyOnly(mapBrowserEvent) && singleClick(mapBrowserEvent);\n        };\n        /**\n         * @type {import(\"../events/condition.js\").Condition}\n         * @private\n         */\n        _this.deleteCondition_ = options.deleteCondition\n            ? options.deleteCondition\n            : _this.defaultDeleteCondition_;\n        /**\n         * @type {import(\"../events/condition.js\").Condition}\n         * @private\n         */\n        _this.insertVertexCondition_ = options.insertVertexCondition\n            ? options.insertVertexCondition\n            : always;\n        /**\n         * Editing vertex.\n         * @type {Feature}\n         * @private\n         */\n        _this.vertexFeature_ = null;\n        /**\n         * Segments intersecting {@link this.vertexFeature_} by segment uid.\n         * @type {Object<string, boolean>}\n         * @private\n         */\n        _this.vertexSegments_ = null;\n        /**\n         * @type {import(\"../pixel.js\").Pixel}\n         * @private\n         */\n        _this.lastPixel_ = [0, 0];\n        /**\n         * Tracks if the next `singleclick` event should be ignored to prevent\n         * accidental deletion right after vertex creation.\n         * @type {boolean}\n         * @private\n         */\n        _this.ignoreNextSingleClick_ = false;\n        /**\n         * @type {Collection<import(\"../Feature\").FeatureLike>}\n         * @private\n         */\n        _this.featuresBeingModified_ = null;\n        /**\n         * Segment RTree for each layer\n         * @type {RBush<SegmentData>}\n         * @private\n         */\n        _this.rBush_ = new RBush();\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.pixelTolerance_ =\n            options.pixelTolerance !== undefined ? options.pixelTolerance : 10;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.snappedToVertex_ = false;\n        /**\n         * Indicate whether the interaction is currently changing a feature's\n         * coordinates.\n         * @type {boolean}\n         * @private\n         */\n        _this.changingFeature_ = false;\n        /**\n         * @type {Array}\n         * @private\n         */\n        _this.dragSegments_ = [];\n        /**\n         * Draw overlay where sketch features are drawn.\n         * @type {VectorLayer}\n         * @private\n         */\n        _this.overlay_ = new VectorLayer({\n            source: new VectorSource({\n                useSpatialIndex: false,\n                wrapX: !!options.wrapX,\n            }),\n            style: options.style ? options.style : getDefaultStyleFunction(),\n            updateWhileAnimating: true,\n            updateWhileInteracting: true,\n        });\n        /**\n         * @const\n         * @private\n         * @type {!Object<string, function(Feature, import(\"../geom/Geometry.js\").default): void>}\n         */\n        _this.SEGMENT_WRITERS_ = {\n            'Point': _this.writePointGeometry_.bind(_this),\n            'LineString': _this.writeLineStringGeometry_.bind(_this),\n            'LinearRing': _this.writeLineStringGeometry_.bind(_this),\n            'Polygon': _this.writePolygonGeometry_.bind(_this),\n            'MultiPoint': _this.writeMultiPointGeometry_.bind(_this),\n            'MultiLineString': _this.writeMultiLineStringGeometry_.bind(_this),\n            'MultiPolygon': _this.writeMultiPolygonGeometry_.bind(_this),\n            'Circle': _this.writeCircleGeometry_.bind(_this),\n            'GeometryCollection': _this.writeGeometryCollectionGeometry_.bind(_this),\n        };\n        /**\n         * @type {VectorSource}\n         * @private\n         */\n        _this.source_ = null;\n        /**\n         * @type {boolean|import(\"../layer/BaseVector\").default}\n         */\n        _this.hitDetection_ = null;\n        var features;\n        if (options.features) {\n            features = options.features;\n        }\n        else if (options.source) {\n            _this.source_ = options.source;\n            features = new Collection(_this.source_.getFeatures());\n            _this.source_.addEventListener(VectorEventType.ADDFEATURE, _this.handleSourceAdd_.bind(_this));\n            _this.source_.addEventListener(VectorEventType.REMOVEFEATURE, _this.handleSourceRemove_.bind(_this));\n        }\n        if (!features) {\n            throw new Error('The modify interaction requires features, a source or a layer');\n        }\n        if (options.hitDetection) {\n            _this.hitDetection_ = options.hitDetection;\n        }\n        /**\n         * @type {Collection<import(\"../Feature.js\").FeatureLike>}\n         * @private\n         */\n        _this.features_ = features;\n        _this.features_.forEach(_this.addFeature_.bind(_this));\n        _this.features_.addEventListener(CollectionEventType.ADD, _this.handleFeatureAdd_.bind(_this));\n        _this.features_.addEventListener(CollectionEventType.REMOVE, _this.handleFeatureRemove_.bind(_this));\n        /**\n         * @type {import(\"../MapBrowserEvent.js\").default}\n         * @private\n         */\n        _this.lastPointerEvent_ = null;\n        /**\n         * Delta (x, y in map units) between matched rtree vertex and pointer vertex.\n         * @type {Array<number>}\n         */\n        _this.delta_ = [0, 0];\n        /**\n         * @private\n         */\n        _this.snapToPointer_ =\n            options.snapToPointer === undefined\n                ? !_this.hitDetection_\n                : options.snapToPointer;\n        return _this;\n    }\n    /**\n     * @param {Feature} feature Feature.\n     * @private\n     */\n    Modify.prototype.addFeature_ = function (feature) {\n        var geometry = feature.getGeometry();\n        if (geometry) {\n            var writer = this.SEGMENT_WRITERS_[geometry.getType()];\n            if (writer) {\n                writer(feature, geometry);\n            }\n        }\n        var map = this.getMap();\n        if (map && map.isRendered() && this.getActive()) {\n            this.handlePointerAtPixel_(this.lastPixel_, map);\n        }\n        feature.addEventListener(EventType.CHANGE, this.boundHandleFeatureChange_);\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Map browser event.\n     * @param {Array<Array<SegmentData>>} segments The segments subject to modification.\n     * @private\n     */\n    Modify.prototype.willModifyFeatures_ = function (evt, segments) {\n        if (!this.featuresBeingModified_) {\n            this.featuresBeingModified_ = new Collection();\n            var features = this.featuresBeingModified_.getArray();\n            for (var i = 0, ii = segments.length; i < ii; ++i) {\n                var segment = segments[i];\n                for (var s = 0, ss = segment.length; s < ss; ++s) {\n                    var feature = segment[s].feature;\n                    if (feature && features.indexOf(feature) === -1) {\n                        this.featuresBeingModified_.push(feature);\n                    }\n                }\n            }\n            if (this.featuresBeingModified_.getLength() === 0) {\n                this.featuresBeingModified_ = null;\n            }\n            else {\n                this.dispatchEvent(new ModifyEvent(ModifyEventType.MODIFYSTART, this.featuresBeingModified_, evt));\n            }\n        }\n    };\n    /**\n     * @param {Feature} feature Feature.\n     * @private\n     */\n    Modify.prototype.removeFeature_ = function (feature) {\n        this.removeFeatureSegmentData_(feature);\n        // Remove the vertex feature if the collection of canditate features is empty.\n        if (this.vertexFeature_ && this.features_.getLength() === 0) {\n            this.overlay_.getSource().removeFeature(this.vertexFeature_);\n            this.vertexFeature_ = null;\n        }\n        feature.removeEventListener(EventType.CHANGE, this.boundHandleFeatureChange_);\n    };\n    /**\n     * @param {Feature} feature Feature.\n     * @private\n     */\n    Modify.prototype.removeFeatureSegmentData_ = function (feature) {\n        var rBush = this.rBush_;\n        /** @type {Array<SegmentData>} */\n        var nodesToRemove = [];\n        rBush.forEach(\n        /**\n         * @param {SegmentData} node RTree node.\n         */\n        function (node) {\n            if (feature === node.feature) {\n                nodesToRemove.push(node);\n            }\n        });\n        for (var i = nodesToRemove.length - 1; i >= 0; --i) {\n            var nodeToRemove = nodesToRemove[i];\n            for (var j = this.dragSegments_.length - 1; j >= 0; --j) {\n                if (this.dragSegments_[j][0] === nodeToRemove) {\n                    this.dragSegments_.splice(j, 1);\n                }\n            }\n            rBush.remove(nodeToRemove);\n        }\n    };\n    /**\n     * Activate or deactivate the interaction.\n     * @param {boolean} active Active.\n     * @observable\n     * @api\n     */\n    Modify.prototype.setActive = function (active) {\n        if (this.vertexFeature_ && !active) {\n            this.overlay_.getSource().removeFeature(this.vertexFeature_);\n            this.vertexFeature_ = null;\n        }\n        _super.prototype.setActive.call(this, active);\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Modify.prototype.setMap = function (map) {\n        this.overlay_.setMap(map);\n        _super.prototype.setMap.call(this, map);\n    };\n    /**\n     * Get the overlay layer that this interaction renders the modification point or vertex to.\n     * @return {VectorLayer} Overlay layer.\n     * @api\n     */\n    Modify.prototype.getOverlay = function () {\n        return this.overlay_;\n    };\n    /**\n     * @param {import(\"../source/Vector.js\").VectorSourceEvent} event Event.\n     * @private\n     */\n    Modify.prototype.handleSourceAdd_ = function (event) {\n        if (event.feature) {\n            this.features_.push(event.feature);\n        }\n    };\n    /**\n     * @param {import(\"../source/Vector.js\").VectorSourceEvent} event Event.\n     * @private\n     */\n    Modify.prototype.handleSourceRemove_ = function (event) {\n        if (event.feature) {\n            this.features_.remove(event.feature);\n        }\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Modify.prototype.handleFeatureAdd_ = function (evt) {\n        this.addFeature_(/** @type {Feature} */ (evt.element));\n    };\n    /**\n     * @param {import(\"../events/Event.js\").default} evt Event.\n     * @private\n     */\n    Modify.prototype.handleFeatureChange_ = function (evt) {\n        if (!this.changingFeature_) {\n            var feature = /** @type {Feature} */ (evt.target);\n            this.removeFeature_(feature);\n            this.addFeature_(feature);\n        }\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Modify.prototype.handleFeatureRemove_ = function (evt) {\n        var feature = /** @type {Feature} */ (evt.element);\n        this.removeFeature_(feature);\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {Point} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writePointGeometry_ = function (feature, geometry) {\n        var coordinates = geometry.getCoordinates();\n        /** @type {SegmentData} */\n        var segmentData = {\n            feature: feature,\n            geometry: geometry,\n            segment: [coordinates, coordinates],\n        };\n        this.rBush_.insert(geometry.getExtent(), segmentData);\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/MultiPoint.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeMultiPointGeometry_ = function (feature, geometry) {\n        var points = geometry.getCoordinates();\n        for (var i = 0, ii = points.length; i < ii; ++i) {\n            var coordinates = points[i];\n            /** @type {SegmentData} */\n            var segmentData = {\n                feature: feature,\n                geometry: geometry,\n                depth: [i],\n                index: i,\n                segment: [coordinates, coordinates],\n            };\n            this.rBush_.insert(geometry.getExtent(), segmentData);\n        }\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/LineString.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeLineStringGeometry_ = function (feature, geometry) {\n        var coordinates = geometry.getCoordinates();\n        for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n            var segment = coordinates.slice(i, i + 2);\n            /** @type {SegmentData} */\n            var segmentData = {\n                feature: feature,\n                geometry: geometry,\n                index: i,\n                segment: segment,\n            };\n            this.rBush_.insert(boundingExtent(segment), segmentData);\n        }\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/MultiLineString.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeMultiLineStringGeometry_ = function (feature, geometry) {\n        var lines = geometry.getCoordinates();\n        for (var j = 0, jj = lines.length; j < jj; ++j) {\n            var coordinates = lines[j];\n            for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                var segment = coordinates.slice(i, i + 2);\n                /** @type {SegmentData} */\n                var segmentData = {\n                    feature: feature,\n                    geometry: geometry,\n                    depth: [j],\n                    index: i,\n                    segment: segment,\n                };\n                this.rBush_.insert(boundingExtent(segment), segmentData);\n            }\n        }\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/Polygon.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writePolygonGeometry_ = function (feature, geometry) {\n        var rings = geometry.getCoordinates();\n        for (var j = 0, jj = rings.length; j < jj; ++j) {\n            var coordinates = rings[j];\n            for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                var segment = coordinates.slice(i, i + 2);\n                /** @type {SegmentData} */\n                var segmentData = {\n                    feature: feature,\n                    geometry: geometry,\n                    depth: [j],\n                    index: i,\n                    segment: segment,\n                };\n                this.rBush_.insert(boundingExtent(segment), segmentData);\n            }\n        }\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/MultiPolygon.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeMultiPolygonGeometry_ = function (feature, geometry) {\n        var polygons = geometry.getCoordinates();\n        for (var k = 0, kk = polygons.length; k < kk; ++k) {\n            var rings = polygons[k];\n            for (var j = 0, jj = rings.length; j < jj; ++j) {\n                var coordinates = rings[j];\n                for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                    var segment = coordinates.slice(i, i + 2);\n                    /** @type {SegmentData} */\n                    var segmentData = {\n                        feature: feature,\n                        geometry: geometry,\n                        depth: [j, k],\n                        index: i,\n                        segment: segment,\n                    };\n                    this.rBush_.insert(boundingExtent(segment), segmentData);\n                }\n            }\n        }\n    };\n    /**\n     * We convert a circle into two segments.  The segment at index\n     * {@link CIRCLE_CENTER_INDEX} is the\n     * circle's center (a point).  The segment at index\n     * {@link CIRCLE_CIRCUMFERENCE_INDEX} is\n     * the circumference, and is not a line segment.\n     *\n     * @param {Feature} feature Feature.\n     * @param {import(\"../geom/Circle.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeCircleGeometry_ = function (feature, geometry) {\n        var coordinates = geometry.getCenter();\n        /** @type {SegmentData} */\n        var centerSegmentData = {\n            feature: feature,\n            geometry: geometry,\n            index: CIRCLE_CENTER_INDEX,\n            segment: [coordinates, coordinates],\n        };\n        /** @type {SegmentData} */\n        var circumferenceSegmentData = {\n            feature: feature,\n            geometry: geometry,\n            index: CIRCLE_CIRCUMFERENCE_INDEX,\n            segment: [coordinates, coordinates],\n        };\n        var featureSegments = [centerSegmentData, circumferenceSegmentData];\n        centerSegmentData.featureSegments = featureSegments;\n        circumferenceSegmentData.featureSegments = featureSegments;\n        this.rBush_.insert(createExtent(coordinates), centerSegmentData);\n        var circleGeometry = /** @type {import(\"../geom/Geometry.js\").default} */ (geometry);\n        var userProjection = getUserProjection();\n        if (userProjection && this.getMap()) {\n            var projection = this.getMap().getView().getProjection();\n            circleGeometry = circleGeometry\n                .clone()\n                .transform(userProjection, projection);\n            circleGeometry = fromCircle(\n            /** @type {import(\"../geom/Circle.js\").default} */ (circleGeometry)).transform(projection, userProjection);\n        }\n        this.rBush_.insert(circleGeometry.getExtent(), circumferenceSegmentData);\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/GeometryCollection.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeGeometryCollectionGeometry_ = function (feature, geometry) {\n        var geometries = geometry.getGeometriesArray();\n        for (var i = 0; i < geometries.length; ++i) {\n            var geometry_1 = geometries[i];\n            var writer = this.SEGMENT_WRITERS_[geometry_1.getType()];\n            writer(feature, geometry_1);\n        }\n    };\n    /**\n     * @param {import(\"../coordinate.js\").Coordinate} coordinates Coordinates.\n     * @param {Array<import(\"../Feature\").FeatureLike>} features The features being modified.\n     * @param {Array<import(\"../geom/SimpleGeometry.js\").default>} geometries The geometries being modified.\n     * @return {Feature} Vertex feature.\n     * @private\n     */\n    Modify.prototype.createOrUpdateVertexFeature_ = function (coordinates, features, geometries) {\n        var vertexFeature = this.vertexFeature_;\n        if (!vertexFeature) {\n            vertexFeature = new Feature(new Point(coordinates));\n            this.vertexFeature_ = vertexFeature;\n            this.overlay_.getSource().addFeature(vertexFeature);\n        }\n        else {\n            var geometry = vertexFeature.getGeometry();\n            geometry.setCoordinates(coordinates);\n        }\n        vertexFeature.set('features', features);\n        vertexFeature.set('geometries', geometries);\n        return vertexFeature;\n    };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} and may modify the geometry.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     */\n    Modify.prototype.handleEvent = function (mapBrowserEvent) {\n        if (!mapBrowserEvent.originalEvent) {\n            return true;\n        }\n        this.lastPointerEvent_ = mapBrowserEvent;\n        var handled;\n        if (!mapBrowserEvent.map.getView().getInteracting() &&\n            mapBrowserEvent.type == MapBrowserEventType.POINTERMOVE &&\n            !this.handlingDownUpSequence) {\n            this.handlePointerMove_(mapBrowserEvent);\n        }\n        if (this.vertexFeature_ && this.deleteCondition_(mapBrowserEvent)) {\n            if (mapBrowserEvent.type != MapBrowserEventType.SINGLECLICK ||\n                !this.ignoreNextSingleClick_) {\n                handled = this.removePoint();\n            }\n            else {\n                handled = true;\n            }\n        }\n        if (mapBrowserEvent.type == MapBrowserEventType.SINGLECLICK) {\n            this.ignoreNextSingleClick_ = false;\n        }\n        return _super.prototype.handleEvent.call(this, mapBrowserEvent) && !handled;\n    };\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Event.\n     */\n    Modify.prototype.handleDragEvent = function (evt) {\n        this.ignoreNextSingleClick_ = false;\n        this.willModifyFeatures_(evt, this.dragSegments_);\n        var vertex = [\n            evt.coordinate[0] + this.delta_[0],\n            evt.coordinate[1] + this.delta_[1],\n        ];\n        var features = [];\n        var geometries = [];\n        for (var i = 0, ii = this.dragSegments_.length; i < ii; ++i) {\n            var dragSegment = this.dragSegments_[i];\n            var segmentData = dragSegment[0];\n            var feature = segmentData.feature;\n            if (features.indexOf(feature) === -1) {\n                features.push(feature);\n            }\n            var geometry = segmentData.geometry;\n            if (geometries.indexOf(geometry) === -1) {\n                geometries.push(geometry);\n            }\n            var depth = segmentData.depth;\n            var coordinates = void 0;\n            var segment = segmentData.segment;\n            var index = dragSegment[1];\n            while (vertex.length < geometry.getStride()) {\n                vertex.push(segment[index][vertex.length]);\n            }\n            switch (geometry.getType()) {\n                case GeometryType.POINT:\n                    coordinates = vertex;\n                    segment[0] = vertex;\n                    segment[1] = vertex;\n                    break;\n                case GeometryType.MULTI_POINT:\n                    coordinates = geometry.getCoordinates();\n                    coordinates[segmentData.index] = vertex;\n                    segment[0] = vertex;\n                    segment[1] = vertex;\n                    break;\n                case GeometryType.LINE_STRING:\n                    coordinates = geometry.getCoordinates();\n                    coordinates[segmentData.index + index] = vertex;\n                    segment[index] = vertex;\n                    break;\n                case GeometryType.MULTI_LINE_STRING:\n                    coordinates = geometry.getCoordinates();\n                    coordinates[depth[0]][segmentData.index + index] = vertex;\n                    segment[index] = vertex;\n                    break;\n                case GeometryType.POLYGON:\n                    coordinates = geometry.getCoordinates();\n                    coordinates[depth[0]][segmentData.index + index] = vertex;\n                    segment[index] = vertex;\n                    break;\n                case GeometryType.MULTI_POLYGON:\n                    coordinates = geometry.getCoordinates();\n                    coordinates[depth[1]][depth[0]][segmentData.index + index] = vertex;\n                    segment[index] = vertex;\n                    break;\n                case GeometryType.CIRCLE:\n                    segment[0] = vertex;\n                    segment[1] = vertex;\n                    if (segmentData.index === CIRCLE_CENTER_INDEX) {\n                        this.changingFeature_ = true;\n                        geometry.setCenter(vertex);\n                        this.changingFeature_ = false;\n                    }\n                    else {\n                        // We're dragging the circle's circumference:\n                        this.changingFeature_ = true;\n                        var projection = evt.map.getView().getProjection();\n                        var radius = coordinateDistance(fromUserCoordinate(geometry.getCenter(), projection), fromUserCoordinate(vertex, projection));\n                        var userProjection = getUserProjection();\n                        if (userProjection) {\n                            var circleGeometry = geometry\n                                .clone()\n                                .transform(userProjection, projection);\n                            circleGeometry.setRadius(radius);\n                            radius = circleGeometry\n                                .transform(projection, userProjection)\n                                .getRadius();\n                        }\n                        geometry.setRadius(radius);\n                        this.changingFeature_ = false;\n                    }\n                    break;\n                default:\n                // pass\n            }\n            if (coordinates) {\n                this.setGeometryCoordinates_(geometry, coordinates);\n            }\n        }\n        this.createOrUpdateVertexFeature_(vertex, features, geometries);\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Modify.prototype.handleDownEvent = function (evt) {\n        if (!this.condition_(evt)) {\n            return false;\n        }\n        var pixelCoordinate = evt.coordinate;\n        this.handlePointerAtPixel_(evt.pixel, evt.map, pixelCoordinate);\n        this.dragSegments_.length = 0;\n        this.featuresBeingModified_ = null;\n        var vertexFeature = this.vertexFeature_;\n        if (vertexFeature) {\n            var projection = evt.map.getView().getProjection();\n            var insertVertices = [];\n            var vertex = vertexFeature.getGeometry().getCoordinates();\n            var vertexExtent = boundingExtent([vertex]);\n            var segmentDataMatches = this.rBush_.getInExtent(vertexExtent);\n            var componentSegments = {};\n            segmentDataMatches.sort(compareIndexes);\n            for (var i = 0, ii = segmentDataMatches.length; i < ii; ++i) {\n                var segmentDataMatch = segmentDataMatches[i];\n                var segment = segmentDataMatch.segment;\n                var uid = getUid(segmentDataMatch.geometry);\n                var depth = segmentDataMatch.depth;\n                if (depth) {\n                    uid += '-' + depth.join('-'); // separate feature components\n                }\n                if (!componentSegments[uid]) {\n                    componentSegments[uid] = new Array(2);\n                }\n                if (segmentDataMatch.geometry.getType() === GeometryType.CIRCLE &&\n                    segmentDataMatch.index === CIRCLE_CIRCUMFERENCE_INDEX) {\n                    var closestVertex = closestOnSegmentData(pixelCoordinate, segmentDataMatch, projection);\n                    if (coordinatesEqual(closestVertex, vertex) &&\n                        !componentSegments[uid][0]) {\n                        this.dragSegments_.push([segmentDataMatch, 0]);\n                        componentSegments[uid][0] = segmentDataMatch;\n                    }\n                    continue;\n                }\n                if (coordinatesEqual(segment[0], vertex) &&\n                    !componentSegments[uid][0]) {\n                    this.dragSegments_.push([segmentDataMatch, 0]);\n                    componentSegments[uid][0] = segmentDataMatch;\n                    continue;\n                }\n                if (coordinatesEqual(segment[1], vertex) &&\n                    !componentSegments[uid][1]) {\n                    // prevent dragging closed linestrings by the connecting node\n                    if ((segmentDataMatch.geometry.getType() === GeometryType.LINE_STRING ||\n                        segmentDataMatch.geometry.getType() ===\n                            GeometryType.MULTI_LINE_STRING) &&\n                        componentSegments[uid][0] &&\n                        componentSegments[uid][0].index === 0) {\n                        continue;\n                    }\n                    this.dragSegments_.push([segmentDataMatch, 1]);\n                    componentSegments[uid][1] = segmentDataMatch;\n                    continue;\n                }\n                if (getUid(segment) in this.vertexSegments_ &&\n                    !componentSegments[uid][0] &&\n                    !componentSegments[uid][1] &&\n                    this.insertVertexCondition_(evt)) {\n                    insertVertices.push(segmentDataMatch);\n                }\n            }\n            if (insertVertices.length) {\n                this.willModifyFeatures_(evt, [insertVertices]);\n            }\n            for (var j = insertVertices.length - 1; j >= 0; --j) {\n                this.insertVertex_(insertVertices[j], vertex);\n            }\n        }\n        return !!this.vertexFeature_;\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Modify.prototype.handleUpEvent = function (evt) {\n        for (var i = this.dragSegments_.length - 1; i >= 0; --i) {\n            var segmentData = this.dragSegments_[i][0];\n            var geometry = segmentData.geometry;\n            if (geometry.getType() === GeometryType.CIRCLE) {\n                // Update a circle object in the R* bush:\n                var coordinates = geometry.getCenter();\n                var centerSegmentData = segmentData.featureSegments[0];\n                var circumferenceSegmentData = segmentData.featureSegments[1];\n                centerSegmentData.segment[0] = coordinates;\n                centerSegmentData.segment[1] = coordinates;\n                circumferenceSegmentData.segment[0] = coordinates;\n                circumferenceSegmentData.segment[1] = coordinates;\n                this.rBush_.update(createExtent(coordinates), centerSegmentData);\n                var circleGeometry = geometry;\n                var userProjection = getUserProjection();\n                if (userProjection) {\n                    var projection = evt.map.getView().getProjection();\n                    circleGeometry = circleGeometry\n                        .clone()\n                        .transform(userProjection, projection);\n                    circleGeometry = fromCircle(circleGeometry).transform(projection, userProjection);\n                }\n                this.rBush_.update(circleGeometry.getExtent(), circumferenceSegmentData);\n            }\n            else {\n                this.rBush_.update(boundingExtent(segmentData.segment), segmentData);\n            }\n        }\n        if (this.featuresBeingModified_) {\n            this.dispatchEvent(new ModifyEvent(ModifyEventType.MODIFYEND, this.featuresBeingModified_, evt));\n            this.featuresBeingModified_ = null;\n        }\n        return false;\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Event.\n     * @private\n     */\n    Modify.prototype.handlePointerMove_ = function (evt) {\n        this.lastPixel_ = evt.pixel;\n        this.handlePointerAtPixel_(evt.pixel, evt.map, evt.coordinate);\n    };\n    /**\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_coordinate] The pixel Coordinate.\n     * @private\n     */\n    Modify.prototype.handlePointerAtPixel_ = function (pixel, map, opt_coordinate) {\n        var _this = this;\n        var pixelCoordinate = opt_coordinate || map.getCoordinateFromPixel(pixel);\n        var projection = map.getView().getProjection();\n        var sortByDistance = function (a, b) {\n            return (projectedDistanceToSegmentDataSquared(pixelCoordinate, a, projection) -\n                projectedDistanceToSegmentDataSquared(pixelCoordinate, b, projection));\n        };\n        /** @type {Array<SegmentData>|undefined} */\n        var nodes;\n        var hitPointGeometry;\n        if (this.hitDetection_) {\n            var layerFilter = typeof this.hitDetection_ === 'object'\n                ? function (layer) { return layer === _this.hitDetection_; }\n                : undefined;\n            map.forEachFeatureAtPixel(pixel, function (feature, layer, geometry) {\n                geometry =\n                    geometry ||\n                        /** @type {import(\"../geom/SimpleGeometry\").default} */ (feature.getGeometry());\n                if (geometry.getType() === GeometryType.POINT &&\n                    includes(_this.features_.getArray(), feature)) {\n                    hitPointGeometry = geometry;\n                    var coordinate = geometry.getFlatCoordinates().slice(0, 2);\n                    nodes = [\n                        {\n                            feature: feature,\n                            geometry: geometry,\n                            segment: [coordinate, coordinate],\n                        },\n                    ];\n                }\n                return true;\n            }, { layerFilter: layerFilter });\n        }\n        if (!nodes) {\n            var viewExtent = fromUserExtent(createExtent(pixelCoordinate, tempExtent), projection);\n            var buffer = map.getView().getResolution() * this.pixelTolerance_;\n            var box = toUserExtent(bufferExtent(viewExtent, buffer, tempExtent), projection);\n            nodes = this.rBush_.getInExtent(box);\n        }\n        if (nodes && nodes.length > 0) {\n            var node = nodes.sort(sortByDistance)[0];\n            var closestSegment = node.segment;\n            var vertex = closestOnSegmentData(pixelCoordinate, node, projection);\n            var vertexPixel = map.getPixelFromCoordinate(vertex);\n            var dist = coordinateDistance(pixel, vertexPixel);\n            if (hitPointGeometry || dist <= this.pixelTolerance_) {\n                /** @type {Object<string, boolean>} */\n                var vertexSegments = {};\n                vertexSegments[getUid(closestSegment)] = true;\n                if (!this.snapToPointer_) {\n                    this.delta_[0] = vertex[0] - pixelCoordinate[0];\n                    this.delta_[1] = vertex[1] - pixelCoordinate[1];\n                }\n                if (node.geometry.getType() === GeometryType.CIRCLE &&\n                    node.index === CIRCLE_CIRCUMFERENCE_INDEX) {\n                    this.snappedToVertex_ = true;\n                    this.createOrUpdateVertexFeature_(vertex, [node.feature], [node.geometry]);\n                }\n                else {\n                    var pixel1 = map.getPixelFromCoordinate(closestSegment[0]);\n                    var pixel2 = map.getPixelFromCoordinate(closestSegment[1]);\n                    var squaredDist1 = squaredCoordinateDistance(vertexPixel, pixel1);\n                    var squaredDist2 = squaredCoordinateDistance(vertexPixel, pixel2);\n                    dist = Math.sqrt(Math.min(squaredDist1, squaredDist2));\n                    this.snappedToVertex_ = dist <= this.pixelTolerance_;\n                    if (this.snappedToVertex_) {\n                        vertex =\n                            squaredDist1 > squaredDist2\n                                ? closestSegment[1]\n                                : closestSegment[0];\n                    }\n                    this.createOrUpdateVertexFeature_(vertex, [node.feature], [node.geometry]);\n                    var geometries = {};\n                    geometries[getUid(node.geometry)] = true;\n                    for (var i = 1, ii = nodes.length; i < ii; ++i) {\n                        var segment = nodes[i].segment;\n                        if ((coordinatesEqual(closestSegment[0], segment[0]) &&\n                            coordinatesEqual(closestSegment[1], segment[1])) ||\n                            (coordinatesEqual(closestSegment[0], segment[1]) &&\n                                coordinatesEqual(closestSegment[1], segment[0]))) {\n                            var geometryUid = getUid(nodes[i].geometry);\n                            if (!(geometryUid in geometries)) {\n                                geometries[geometryUid] = true;\n                                vertexSegments[getUid(segment)] = true;\n                            }\n                        }\n                        else {\n                            break;\n                        }\n                    }\n                }\n                this.vertexSegments_ = vertexSegments;\n                return;\n            }\n        }\n        if (this.vertexFeature_) {\n            this.overlay_.getSource().removeFeature(this.vertexFeature_);\n            this.vertexFeature_ = null;\n        }\n    };\n    /**\n     * @param {SegmentData} segmentData Segment data.\n     * @param {import(\"../coordinate.js\").Coordinate} vertex Vertex.\n     * @private\n     */\n    Modify.prototype.insertVertex_ = function (segmentData, vertex) {\n        var segment = segmentData.segment;\n        var feature = segmentData.feature;\n        var geometry = segmentData.geometry;\n        var depth = segmentData.depth;\n        var index = segmentData.index;\n        var coordinates;\n        while (vertex.length < geometry.getStride()) {\n            vertex.push(0);\n        }\n        switch (geometry.getType()) {\n            case GeometryType.MULTI_LINE_STRING:\n                coordinates = geometry.getCoordinates();\n                coordinates[depth[0]].splice(index + 1, 0, vertex);\n                break;\n            case GeometryType.POLYGON:\n                coordinates = geometry.getCoordinates();\n                coordinates[depth[0]].splice(index + 1, 0, vertex);\n                break;\n            case GeometryType.MULTI_POLYGON:\n                coordinates = geometry.getCoordinates();\n                coordinates[depth[1]][depth[0]].splice(index + 1, 0, vertex);\n                break;\n            case GeometryType.LINE_STRING:\n                coordinates = geometry.getCoordinates();\n                coordinates.splice(index + 1, 0, vertex);\n                break;\n            default:\n                return;\n        }\n        this.setGeometryCoordinates_(geometry, coordinates);\n        var rTree = this.rBush_;\n        rTree.remove(segmentData);\n        this.updateSegmentIndices_(geometry, index, depth, 1);\n        /** @type {SegmentData} */\n        var newSegmentData = {\n            segment: [segment[0], vertex],\n            feature: feature,\n            geometry: geometry,\n            depth: depth,\n            index: index,\n        };\n        rTree.insert(boundingExtent(newSegmentData.segment), newSegmentData);\n        this.dragSegments_.push([newSegmentData, 1]);\n        /** @type {SegmentData} */\n        var newSegmentData2 = {\n            segment: [vertex, segment[1]],\n            feature: feature,\n            geometry: geometry,\n            depth: depth,\n            index: index + 1,\n        };\n        rTree.insert(boundingExtent(newSegmentData2.segment), newSegmentData2);\n        this.dragSegments_.push([newSegmentData2, 0]);\n        this.ignoreNextSingleClick_ = true;\n    };\n    /**\n     * Removes the vertex currently being pointed.\n     * @return {boolean} True when a vertex was removed.\n     * @api\n     */\n    Modify.prototype.removePoint = function () {\n        if (this.lastPointerEvent_ &&\n            this.lastPointerEvent_.type != MapBrowserEventType.POINTERDRAG) {\n            var evt = this.lastPointerEvent_;\n            this.willModifyFeatures_(evt, this.dragSegments_);\n            var removed = this.removeVertex_();\n            this.dispatchEvent(new ModifyEvent(ModifyEventType.MODIFYEND, this.featuresBeingModified_, evt));\n            this.featuresBeingModified_ = null;\n            return removed;\n        }\n        return false;\n    };\n    /**\n     * Removes a vertex from all matching features.\n     * @return {boolean} True when a vertex was removed.\n     * @private\n     */\n    Modify.prototype.removeVertex_ = function () {\n        var dragSegments = this.dragSegments_;\n        var segmentsByFeature = {};\n        var deleted = false;\n        var component, coordinates, dragSegment, geometry, i, index, left;\n        var newIndex, right, segmentData, uid;\n        for (i = dragSegments.length - 1; i >= 0; --i) {\n            dragSegment = dragSegments[i];\n            segmentData = dragSegment[0];\n            uid = getUid(segmentData.feature);\n            if (segmentData.depth) {\n                // separate feature components\n                uid += '-' + segmentData.depth.join('-');\n            }\n            if (!(uid in segmentsByFeature)) {\n                segmentsByFeature[uid] = {};\n            }\n            if (dragSegment[1] === 0) {\n                segmentsByFeature[uid].right = segmentData;\n                segmentsByFeature[uid].index = segmentData.index;\n            }\n            else if (dragSegment[1] == 1) {\n                segmentsByFeature[uid].left = segmentData;\n                segmentsByFeature[uid].index = segmentData.index + 1;\n            }\n        }\n        for (uid in segmentsByFeature) {\n            right = segmentsByFeature[uid].right;\n            left = segmentsByFeature[uid].left;\n            index = segmentsByFeature[uid].index;\n            newIndex = index - 1;\n            if (left !== undefined) {\n                segmentData = left;\n            }\n            else {\n                segmentData = right;\n            }\n            if (newIndex < 0) {\n                newIndex = 0;\n            }\n            geometry = segmentData.geometry;\n            coordinates = geometry.getCoordinates();\n            component = coordinates;\n            deleted = false;\n            switch (geometry.getType()) {\n                case GeometryType.MULTI_LINE_STRING:\n                    if (coordinates[segmentData.depth[0]].length > 2) {\n                        coordinates[segmentData.depth[0]].splice(index, 1);\n                        deleted = true;\n                    }\n                    break;\n                case GeometryType.LINE_STRING:\n                    if (coordinates.length > 2) {\n                        coordinates.splice(index, 1);\n                        deleted = true;\n                    }\n                    break;\n                case GeometryType.MULTI_POLYGON:\n                    component = component[segmentData.depth[1]];\n                /* falls through */\n                case GeometryType.POLYGON:\n                    component = component[segmentData.depth[0]];\n                    if (component.length > 4) {\n                        if (index == component.length - 1) {\n                            index = 0;\n                        }\n                        component.splice(index, 1);\n                        deleted = true;\n                        if (index === 0) {\n                            // close the ring again\n                            component.pop();\n                            component.push(component[0]);\n                            newIndex = component.length - 1;\n                        }\n                    }\n                    break;\n                default:\n                // pass\n            }\n            if (deleted) {\n                this.setGeometryCoordinates_(geometry, coordinates);\n                var segments = [];\n                if (left !== undefined) {\n                    this.rBush_.remove(left);\n                    segments.push(left.segment[0]);\n                }\n                if (right !== undefined) {\n                    this.rBush_.remove(right);\n                    segments.push(right.segment[1]);\n                }\n                if (left !== undefined && right !== undefined) {\n                    /** @type {SegmentData} */\n                    var newSegmentData = {\n                        depth: segmentData.depth,\n                        feature: segmentData.feature,\n                        geometry: segmentData.geometry,\n                        index: newIndex,\n                        segment: segments,\n                    };\n                    this.rBush_.insert(boundingExtent(newSegmentData.segment), newSegmentData);\n                }\n                this.updateSegmentIndices_(geometry, index, segmentData.depth, -1);\n                if (this.vertexFeature_) {\n                    this.overlay_.getSource().removeFeature(this.vertexFeature_);\n                    this.vertexFeature_ = null;\n                }\n                dragSegments.length = 0;\n            }\n        }\n        return deleted;\n    };\n    /**\n     * @param {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n     * @param {Array} coordinates Coordinates.\n     * @private\n     */\n    Modify.prototype.setGeometryCoordinates_ = function (geometry, coordinates) {\n        this.changingFeature_ = true;\n        geometry.setCoordinates(coordinates);\n        this.changingFeature_ = false;\n    };\n    /**\n     * @param {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n     * @param {number} index Index.\n     * @param {Array<number>|undefined} depth Depth.\n     * @param {number} delta Delta (1 or -1).\n     * @private\n     */\n    Modify.prototype.updateSegmentIndices_ = function (geometry, index, depth, delta) {\n        this.rBush_.forEachInExtent(geometry.getExtent(), function (segmentDataMatch) {\n            if (segmentDataMatch.geometry === geometry &&\n                (depth === undefined ||\n                    segmentDataMatch.depth === undefined ||\n                    equals(segmentDataMatch.depth, depth)) &&\n                segmentDataMatch.index > index) {\n                segmentDataMatch.index += delta;\n            }\n        });\n    };\n    return Modify;\n}(PointerInteraction));\n/**\n * @param {SegmentData} a The first segment data.\n * @param {SegmentData} b The second segment data.\n * @return {number} The difference in indexes.\n */\nfunction compareIndexes(a, b) {\n    return a.index - b.index;\n}\n/**\n * Returns the distance from a point to a line segment.\n *\n * @param {import(\"../coordinate.js\").Coordinate} pointCoordinates The coordinates of the point from\n *        which to calculate the distance.\n * @param {SegmentData} segmentData The object describing the line\n *        segment we are calculating the distance to.\n * @param {import(\"../proj/Projection.js\").default} projection The view projection.\n * @return {number} The square of the distance between a point and a line segment.\n */\nfunction projectedDistanceToSegmentDataSquared(pointCoordinates, segmentData, projection) {\n    var geometry = segmentData.geometry;\n    if (geometry.getType() === GeometryType.CIRCLE) {\n        var circleGeometry = /** @type {import(\"../geom/Circle.js\").default} */ (geometry);\n        if (segmentData.index === CIRCLE_CIRCUMFERENCE_INDEX) {\n            var userProjection = getUserProjection();\n            if (userProjection) {\n                circleGeometry = /** @type {import(\"../geom/Circle.js\").default} */ (circleGeometry.clone().transform(userProjection, projection));\n            }\n            var distanceToCenterSquared = squaredCoordinateDistance(circleGeometry.getCenter(), fromUserCoordinate(pointCoordinates, projection));\n            var distanceToCircumference = Math.sqrt(distanceToCenterSquared) - circleGeometry.getRadius();\n            return distanceToCircumference * distanceToCircumference;\n        }\n    }\n    var coordinate = fromUserCoordinate(pointCoordinates, projection);\n    tempSegment[0] = fromUserCoordinate(segmentData.segment[0], projection);\n    tempSegment[1] = fromUserCoordinate(segmentData.segment[1], projection);\n    return squaredDistanceToSegment(coordinate, tempSegment);\n}\n/**\n * Returns the point closest to a given line segment.\n *\n * @param {import(\"../coordinate.js\").Coordinate} pointCoordinates The point to which a closest point\n *        should be found.\n * @param {SegmentData} segmentData The object describing the line\n *        segment which should contain the closest point.\n * @param {import(\"../proj/Projection.js\").default} projection The view projection.\n * @return {import(\"../coordinate.js\").Coordinate} The point closest to the specified line segment.\n */\nfunction closestOnSegmentData(pointCoordinates, segmentData, projection) {\n    var geometry = segmentData.geometry;\n    if (geometry.getType() === GeometryType.CIRCLE &&\n        segmentData.index === CIRCLE_CIRCUMFERENCE_INDEX) {\n        var circleGeometry = /** @type {import(\"../geom/Circle.js\").default} */ (geometry);\n        var userProjection = getUserProjection();\n        if (userProjection) {\n            circleGeometry = /** @type {import(\"../geom/Circle.js\").default} */ (circleGeometry.clone().transform(userProjection, projection));\n        }\n        return toUserCoordinate(circleGeometry.getClosestPoint(fromUserCoordinate(pointCoordinates, projection)), projection);\n    }\n    var coordinate = fromUserCoordinate(pointCoordinates, projection);\n    tempSegment[0] = fromUserCoordinate(segmentData.segment[0], projection);\n    tempSegment[1] = fromUserCoordinate(segmentData.segment[1], projection);\n    return toUserCoordinate(closestOnSegment(coordinate, tempSegment), projection);\n}\n/**\n * @return {import(\"../style/Style.js\").StyleFunction} Styles.\n */\nfunction getDefaultStyleFunction() {\n    var style = createEditingStyle();\n    return function (feature, resolution) {\n        return style[GeometryType.POINT];\n    };\n}\nexport default Modify;\n//# sourceMappingURL=Modify.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Select\n */\nimport Collection from '../Collection.js';\nimport CollectionEventType from '../CollectionEventType.js';\nimport Event from '../events/Event.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport Interaction from './Interaction.js';\nimport VectorLayer from '../layer/Vector.js';\nimport { TRUE } from '../functions.js';\nimport { clear } from '../obj.js';\nimport { createEditingStyle } from '../style/Style.js';\nimport { extend, includes } from '../array.js';\nimport { getUid } from '../util.js';\nimport { never, shiftKeyOnly, singleClick } from '../events/condition.js';\n/**\n * @enum {string}\n */\nvar SelectEventType = {\n    /**\n     * Triggered when feature(s) has been (de)selected.\n     * @event SelectEvent#select\n     * @api\n     */\n    SELECT: 'select',\n};\n/**\n * A function that takes an {@link module:ol/Feature} or\n * {@link module:ol/render/Feature} and an\n * {@link module:ol/layer/Layer} and returns `true` if the feature may be\n * selected or `false` otherwise.\n * @typedef {function(import(\"../Feature.js\").FeatureLike, import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>):boolean} FilterFunction\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [addCondition] A function\n * that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * By default, this is {@link module:ol/events/condition.never}. Use this if you\n * want to use different events for add and remove instead of `toggle`.\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. This is the event\n * for the selected features as a whole. By default, this is\n * {@link module:ol/events/condition.singleClick}. Clicking on a feature selects that\n * feature and removes any that were in the selection. Clicking outside any\n * feature removes all from the selection.\n * See `toggle`, `add`, `remove` options for adding/removing extra features to/\n * from the selection.\n * @property {Array<import(\"../layer/Layer.js\").default>|function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} [layers]\n * A list of layers from which features should be selected. Alternatively, a\n * filter function can be provided. The function will be called for each layer\n * in the map and should return `true` for layers that you want to be\n * selectable. If the option is absent, all visible layers will be considered\n * selectable.\n * @property {import(\"../style/Style.js\").StyleLike|null} [style]\n * Style for the selected features. By default the default edit style is used\n * (see {@link module:ol/style/Style~Style}). Set to `null` if this interaction should not apply\n * any style changes for selected features.\n * If set to a falsey value, the selected feature's style will not change.\n * @property {import(\"../events/condition.js\").Condition} [removeCondition] A function\n * that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * By default, this is {@link module:ol/events/condition.never}. Use this if you\n * want to use different events for add and remove instead of `toggle`.\n * @property {import(\"../events/condition.js\").Condition} [toggleCondition] A function\n * that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. This is in addition\n * to the `condition` event. By default,\n * {@link module:ol/events/condition.shiftKeyOnly}, i.e. pressing `shift` as\n * well as the `condition` event, adds that feature to the current selection if\n * it is not currently selected, and removes it if it is. See `add` and `remove`\n * if you want to use different events instead of a toggle.\n * @property {boolean} [multi=false] A boolean that determines if the default\n * behaviour should select only single features or all (overlapping) features at\n * the clicked map position. The default of `false` means single select.\n * @property {import(\"../Collection.js\").default<import(\"../Feature.js\").default>} [features]\n * Collection where the interaction will place selected features. Optional. If\n * not set the interaction will create a collection. In any case the collection\n * used by the interaction is returned by\n * {@link module:ol/interaction/Select~Select#getFeatures}.\n * @property {FilterFunction} [filter] A function\n * that takes an {@link module:ol/Feature} and an\n * {@link module:ol/layer/Layer} and returns `true` if the feature may be\n * selected or `false` otherwise.\n * @property {number} [hitTolerance=0] Hit-detection tolerance. Pixels inside\n * the radius around the given position will be checked for features.\n */\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/Select~Select} instances are instances of\n * this type.\n */\nvar SelectEvent = /** @class */ (function (_super) {\n    __extends(SelectEvent, _super);\n    /**\n     * @param {SelectEventType} type The event type.\n     * @param {Array<import(\"../Feature.js\").default>} selected Selected features.\n     * @param {Array<import(\"../Feature.js\").default>} deselected Deselected features.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Associated\n     *     {@link module:ol/MapBrowserEvent}.\n     */\n    function SelectEvent(type, selected, deselected, mapBrowserEvent) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * Selected features array.\n         * @type {Array<import(\"../Feature.js\").default>}\n         * @api\n         */\n        _this.selected = selected;\n        /**\n         * Deselected features array.\n         * @type {Array<import(\"../Feature.js\").default>}\n         * @api\n         */\n        _this.deselected = deselected;\n        /**\n         * Associated {@link module:ol/MapBrowserEvent}.\n         * @type {import(\"../MapBrowserEvent.js\").default}\n         * @api\n         */\n        _this.mapBrowserEvent = mapBrowserEvent;\n        return _this;\n    }\n    return SelectEvent;\n}(Event));\nexport { SelectEvent };\n/**\n * Original feature styles to reset to when features are no longer selected.\n * @type {Object<number, import(\"../style/Style.js\").default|Array<import(\"../style/Style.js\").default>|import(\"../style/Style.js\").StyleFunction>}\n */\nvar originalFeatureStyles = {};\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'select', SelectEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'select', Return>} SelectOnSignature\n */\n/**\n * @classdesc\n * Interaction for selecting vector features. By default, selected features are\n * styled differently, so this interaction can be used for visual highlighting,\n * as well as selecting features for other actions, such as modification or\n * output. There are three ways of controlling which features are selected:\n * using the browser event as defined by the `condition` and optionally the\n * `toggle`, `add`/`remove`, and `multi` options; a `layers` filter; and a\n * further feature filter using the `filter` option.\n *\n * @fires SelectEvent\n * @api\n */\nvar Select = /** @class */ (function (_super) {\n    __extends(Select, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Select(opt_options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {SelectOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {SelectOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {SelectOnSignature<void>}\n         */\n        _this.un;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @private\n         */\n        _this.boundAddFeature_ = _this.addFeature_.bind(_this);\n        /**\n         * @private\n         */\n        _this.boundRemoveFeature_ = _this.removeFeature_.bind(_this);\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : singleClick;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.addCondition_ = options.addCondition ? options.addCondition : never;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.removeCondition_ = options.removeCondition\n            ? options.removeCondition\n            : never;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.toggleCondition_ = options.toggleCondition\n            ? options.toggleCondition\n            : shiftKeyOnly;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.multi_ = options.multi ? options.multi : false;\n        /**\n         * @private\n         * @type {FilterFunction}\n         */\n        _this.filter_ = options.filter ? options.filter : TRUE;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.hitTolerance_ = options.hitTolerance ? options.hitTolerance : 0;\n        /**\n         * @private\n         * @type {import(\"../style/Style.js\").default|Array<import(\"../style/Style.js\").default>|import(\"../style/Style.js\").StyleFunction|null}\n         */\n        _this.style_ =\n            options.style !== undefined ? options.style : getDefaultStyleFunction();\n        /**\n         * @private\n         * @type {import(\"../Collection.js\").default}\n         */\n        _this.features_ = options.features || new Collection();\n        /** @type {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} */\n        var layerFilter;\n        if (options.layers) {\n            if (typeof options.layers === 'function') {\n                layerFilter = options.layers;\n            }\n            else {\n                var layers_1 = options.layers;\n                layerFilter = function (layer) {\n                    return includes(layers_1, layer);\n                };\n            }\n        }\n        else {\n            layerFilter = TRUE;\n        }\n        /**\n         * @private\n         * @type {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean}\n         */\n        _this.layerFilter_ = layerFilter;\n        /**\n         * An association between selected feature (key)\n         * and layer (value)\n         * @private\n         * @type {Object<string, import(\"../layer/Layer.js\").default>}\n         */\n        _this.featureLayerAssociation_ = {};\n        return _this;\n    }\n    /**\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     * @param {import(\"../layer/Layer.js\").default} layer Layer.\n     * @private\n     */\n    Select.prototype.addFeatureLayerAssociation_ = function (feature, layer) {\n        this.featureLayerAssociation_[getUid(feature)] = layer;\n    };\n    /**\n     * Get the selected features.\n     * @return {import(\"../Collection.js\").default<import(\"../Feature.js\").default>} Features collection.\n     * @api\n     */\n    Select.prototype.getFeatures = function () {\n        return this.features_;\n    };\n    /**\n     * Returns the Hit-detection tolerance.\n     * @return {number} Hit tolerance in pixels.\n     * @api\n     */\n    Select.prototype.getHitTolerance = function () {\n        return this.hitTolerance_;\n    };\n    /**\n     * Returns the associated {@link module:ol/layer/Vector~Vector vector layer} of\n     * a selected feature.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature\n     * @return {import('../layer/Vector.js').default} Layer.\n     * @api\n     */\n    Select.prototype.getLayer = function (feature) {\n        return /** @type {import('../layer/Vector.js').default} */ (this.featureLayerAssociation_[getUid(feature)]);\n    };\n    /**\n     * Hit-detection tolerance. Pixels inside the radius around the given position\n     * will be checked for features.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @api\n     */\n    Select.prototype.setHitTolerance = function (hitTolerance) {\n        this.hitTolerance_ = hitTolerance;\n    };\n    /**\n     * Remove the interaction from its current map, if any,  and attach it to a new\n     * map, if any. Pass `null` to just remove the interaction from the current map.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     * @api\n     */\n    Select.prototype.setMap = function (map) {\n        var currentMap = this.getMap();\n        if (currentMap && this.style_) {\n            this.features_.forEach(this.restorePreviousStyle_.bind(this));\n        }\n        _super.prototype.setMap.call(this, map);\n        if (map) {\n            this.features_.addEventListener(CollectionEventType.ADD, this.boundAddFeature_);\n            this.features_.addEventListener(CollectionEventType.REMOVE, this.boundRemoveFeature_);\n            if (this.style_) {\n                this.features_.forEach(this.applySelectedStyle_.bind(this));\n            }\n        }\n        else {\n            this.features_.removeEventListener(CollectionEventType.ADD, this.boundAddFeature_);\n            this.features_.removeEventListener(CollectionEventType.REMOVE, this.boundRemoveFeature_);\n        }\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Select.prototype.addFeature_ = function (evt) {\n        var feature = evt.element;\n        if (this.style_) {\n            this.applySelectedStyle_(feature);\n        }\n        if (!this.getLayer(feature)) {\n            var layer = /** @type {VectorLayer} */ (this.getMap()\n                .getAllLayers()\n                .find(function (layer) {\n                if (layer instanceof VectorLayer &&\n                    layer.getSource() &&\n                    layer.getSource().hasFeature(feature)) {\n                    return layer;\n                }\n            }));\n            if (layer) {\n                this.addFeatureLayerAssociation_(feature, layer);\n            }\n        }\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Select.prototype.removeFeature_ = function (evt) {\n        var feature = evt.element;\n        if (this.style_) {\n            this.restorePreviousStyle_(feature);\n        }\n    };\n    /**\n     * @return {import(\"../style/Style.js\").StyleLike|null} Select style.\n     */\n    Select.prototype.getStyle = function () {\n        return this.style_;\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @private\n     */\n    Select.prototype.applySelectedStyle_ = function (feature) {\n        var key = getUid(feature);\n        if (!(key in originalFeatureStyles)) {\n            originalFeatureStyles[key] = feature.getStyle();\n        }\n        feature.setStyle(this.style_);\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @private\n     */\n    Select.prototype.restorePreviousStyle_ = function (feature) {\n        var interactions = this.getMap().getInteractions().getArray();\n        for (var i = interactions.length - 1; i >= 0; --i) {\n            var interaction = interactions[i];\n            if (interaction !== this &&\n                interaction instanceof Select &&\n                interaction.getStyle() &&\n                interaction.getFeatures().getArray().lastIndexOf(feature) !== -1) {\n                feature.setStyle(interaction.getStyle());\n                return;\n            }\n        }\n        var key = getUid(feature);\n        feature.setStyle(originalFeatureStyles[key]);\n        delete originalFeatureStyles[key];\n    };\n    /**\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     * @private\n     */\n    Select.prototype.removeFeatureLayerAssociation_ = function (feature) {\n        delete this.featureLayerAssociation_[getUid(feature)];\n    };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} and may change the\n     * selected state of features.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @this {Select}\n     */\n    Select.prototype.handleEvent = function (mapBrowserEvent) {\n        if (!this.condition_(mapBrowserEvent)) {\n            return true;\n        }\n        var add = this.addCondition_(mapBrowserEvent);\n        var remove = this.removeCondition_(mapBrowserEvent);\n        var toggle = this.toggleCondition_(mapBrowserEvent);\n        var set = !add && !remove && !toggle;\n        var map = mapBrowserEvent.map;\n        var features = this.getFeatures();\n        var deselected = [];\n        var selected = [];\n        if (set) {\n            // Replace the currently selected feature(s) with the feature(s) at the\n            // pixel, or clear the selected feature(s) if there is no feature at\n            // the pixel.\n            clear(this.featureLayerAssociation_);\n            map.forEachFeatureAtPixel(mapBrowserEvent.pixel, \n            /**\n             * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n             * @param {import(\"../layer/Layer.js\").default} layer Layer.\n             * @return {boolean|undefined} Continue to iterate over the features.\n             */\n            function (feature, layer) {\n                if (this.filter_(feature, layer)) {\n                    this.addFeatureLayerAssociation_(feature, layer);\n                    selected.push(feature);\n                    return !this.multi_;\n                }\n            }.bind(this), {\n                layerFilter: this.layerFilter_,\n                hitTolerance: this.hitTolerance_,\n            });\n            for (var i = features.getLength() - 1; i >= 0; --i) {\n                var feature = features.item(i);\n                var index = selected.indexOf(feature);\n                if (index > -1) {\n                    // feature is already selected\n                    selected.splice(index, 1);\n                }\n                else {\n                    features.remove(feature);\n                    deselected.push(feature);\n                }\n            }\n            if (selected.length !== 0) {\n                features.extend(selected);\n            }\n        }\n        else {\n            // Modify the currently selected feature(s).\n            map.forEachFeatureAtPixel(mapBrowserEvent.pixel, \n            /**\n             * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n             * @param {import(\"../layer/Layer.js\").default} layer Layer.\n             * @return {boolean|undefined} Continue to iterate over the features.\n             */\n            function (feature, layer) {\n                if (this.filter_(feature, layer)) {\n                    if ((add || toggle) && !includes(features.getArray(), feature)) {\n                        this.addFeatureLayerAssociation_(feature, layer);\n                        selected.push(feature);\n                    }\n                    else if ((remove || toggle) &&\n                        includes(features.getArray(), feature)) {\n                        deselected.push(feature);\n                        this.removeFeatureLayerAssociation_(feature);\n                    }\n                    return !this.multi_;\n                }\n            }.bind(this), {\n                layerFilter: this.layerFilter_,\n                hitTolerance: this.hitTolerance_,\n            });\n            for (var j = deselected.length - 1; j >= 0; --j) {\n                features.remove(deselected[j]);\n            }\n            features.extend(selected);\n        }\n        if (selected.length > 0 || deselected.length > 0) {\n            this.dispatchEvent(new SelectEvent(SelectEventType.SELECT, selected, deselected, mapBrowserEvent));\n        }\n        return true;\n    };\n    return Select;\n}(Interaction));\n/**\n * @return {import(\"../style/Style.js\").StyleFunction} Styles.\n */\nfunction getDefaultStyleFunction() {\n    var styles = createEditingStyle();\n    extend(styles[GeometryType.POLYGON], styles[GeometryType.LINE_STRING]);\n    extend(styles[GeometryType.GEOMETRY_COLLECTION], styles[GeometryType.LINE_STRING]);\n    return function (feature) {\n        if (!feature.getGeometry()) {\n            return null;\n        }\n        return styles[feature.getGeometry().getType()];\n    };\n}\nexport default Select;\n//# sourceMappingURL=Select.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Snap\n */\nimport CollectionEventType from '../CollectionEventType.js';\nimport EventType from '../events/EventType.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport PointerInteraction from './Pointer.js';\nimport RBush from '../structs/RBush.js';\nimport VectorEventType from '../source/VectorEventType.js';\nimport { FALSE, TRUE } from '../functions.js';\nimport { boundingExtent, createEmpty } from '../extent.js';\nimport { closestOnCircle, closestOnSegment, distance as coordinateDistance, squaredDistance as squaredCoordinateDistance, squaredDistanceToSegment, } from '../coordinate.js';\nimport { fromCircle } from '../geom/Polygon.js';\nimport { fromUserCoordinate, getUserProjection, toUserCoordinate, } from '../proj.js';\nimport { getUid } from '../util.js';\nimport { getValues } from '../obj.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {Object} Result\n * @property {boolean} snapped Snapped.\n * @property {import(\"../coordinate.js\").Coordinate|null} vertex Vertex.\n * @property {import(\"../pixel.js\").Pixel|null} vertexPixel VertexPixel.\n */\n/**\n * @typedef {Object} SegmentData\n * @property {import(\"../Feature.js\").default} feature Feature.\n * @property {Array<import(\"../coordinate.js\").Coordinate>} segment Segment.\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../Collection.js\").default<import(\"../Feature.js\").default>} [features] Snap to these features. Either this option or source should be provided.\n * @property {boolean} [edge=true] Snap to edges.\n * @property {boolean} [vertex=true] Snap to vertices.\n * @property {number} [pixelTolerance=10] Pixel tolerance for considering the pointer close enough to a segment or\n * vertex for snapping.\n * @property {import(\"../source/Vector.js\").default} [source] Snap to features from this source. Either this option or features should be provided\n */\n/**\n * @param  {import(\"../source/Vector.js\").VectorSourceEvent|import(\"../Collection.js\").CollectionEvent} evt Event.\n * @return {import(\"../Feature.js\").default} Feature.\n */\nfunction getFeatureFromEvent(evt) {\n    if (\n    /** @type {import(\"../source/Vector.js\").VectorSourceEvent} */ (evt).feature) {\n        return /** @type {import(\"../source/Vector.js\").VectorSourceEvent} */ (evt)\n            .feature;\n    }\n    else if (\n    /** @type {import(\"../Collection.js\").CollectionEvent} */ (evt).element) {\n        return /** @type {import(\"../Feature.js\").default} */ (\n        /** @type {import(\"../Collection.js\").CollectionEvent} */ (evt).element);\n    }\n}\nvar tempSegment = [];\n/**\n * @classdesc\n * Handles snapping of vector features while modifying or drawing them.  The\n * features can come from a {@link module:ol/source/Vector} or {@link module:ol/Collection~Collection}\n * Any interaction object that allows the user to interact\n * with the features using the mouse can benefit from the snapping, as long\n * as it is added before.\n *\n * The snap interaction modifies map browser event `coordinate` and `pixel`\n * properties to force the snap to occur to any interaction that them.\n *\n * Example:\n *\n *     import Snap from 'ol/interaction/Snap';\n *\n *     const snap = new Snap({\n *       source: source\n *     });\n *\n *     map.addInteraction(snap);\n *\n * @api\n */\nvar Snap = /** @class */ (function (_super) {\n    __extends(Snap, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Snap(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var pointerOptions = /** @type {import(\"./Pointer.js\").Options} */ (options);\n        if (!pointerOptions.handleDownEvent) {\n            pointerOptions.handleDownEvent = TRUE;\n        }\n        if (!pointerOptions.stopDown) {\n            pointerOptions.stopDown = FALSE;\n        }\n        _this = _super.call(this, pointerOptions) || this;\n        /**\n         * @type {import(\"../source/Vector.js\").default}\n         * @private\n         */\n        _this.source_ = options.source ? options.source : null;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.vertex_ = options.vertex !== undefined ? options.vertex : true;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.edge_ = options.edge !== undefined ? options.edge : true;\n        /**\n         * @type {import(\"../Collection.js\").default<import(\"../Feature.js\").default>}\n         * @private\n         */\n        _this.features_ = options.features ? options.features : null;\n        /**\n         * @type {Array<import(\"../events.js\").EventsKey>}\n         * @private\n         */\n        _this.featuresListenerKeys_ = [];\n        /**\n         * @type {Object<string, import(\"../events.js\").EventsKey>}\n         * @private\n         */\n        _this.featureChangeListenerKeys_ = {};\n        /**\n         * Extents are preserved so indexed segment can be quickly removed\n         * when its feature geometry changes\n         * @type {Object<string, import(\"../extent.js\").Extent>}\n         * @private\n         */\n        _this.indexedFeaturesExtents_ = {};\n        /**\n         * If a feature geometry changes while a pointer drag|move event occurs, the\n         * feature doesn't get updated right away.  It will be at the next 'pointerup'\n         * event fired.\n         * @type {!Object<string, import(\"../Feature.js\").default>}\n         * @private\n         */\n        _this.pendingFeatures_ = {};\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.pixelTolerance_ =\n            options.pixelTolerance !== undefined ? options.pixelTolerance : 10;\n        /**\n         * Segment RTree for each layer\n         * @type {import(\"../structs/RBush.js\").default<SegmentData>}\n         * @private\n         */\n        _this.rBush_ = new RBush();\n        /**\n         * @const\n         * @private\n         * @type {Object<string, function(import(\"../Feature.js\").default, import(\"../geom/Geometry.js\").default): void>}\n         */\n        _this.SEGMENT_WRITERS_ = {\n            'Point': _this.writePointGeometry_.bind(_this),\n            'LineString': _this.writeLineStringGeometry_.bind(_this),\n            'LinearRing': _this.writeLineStringGeometry_.bind(_this),\n            'Polygon': _this.writePolygonGeometry_.bind(_this),\n            'MultiPoint': _this.writeMultiPointGeometry_.bind(_this),\n            'MultiLineString': _this.writeMultiLineStringGeometry_.bind(_this),\n            'MultiPolygon': _this.writeMultiPolygonGeometry_.bind(_this),\n            'GeometryCollection': _this.writeGeometryCollectionGeometry_.bind(_this),\n            'Circle': _this.writeCircleGeometry_.bind(_this),\n        };\n        return _this;\n    }\n    /**\n     * Add a feature to the collection of features that we may snap to.\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {boolean} [opt_listen] Whether to listen to the feature change or not\n     *     Defaults to `true`.\n     * @api\n     */\n    Snap.prototype.addFeature = function (feature, opt_listen) {\n        var register = opt_listen !== undefined ? opt_listen : true;\n        var feature_uid = getUid(feature);\n        var geometry = feature.getGeometry();\n        if (geometry) {\n            var segmentWriter = this.SEGMENT_WRITERS_[geometry.getType()];\n            if (segmentWriter) {\n                this.indexedFeaturesExtents_[feature_uid] = geometry.getExtent(createEmpty());\n                segmentWriter(feature, geometry);\n            }\n        }\n        if (register) {\n            this.featureChangeListenerKeys_[feature_uid] = listen(feature, EventType.CHANGE, this.handleFeatureChange_, this);\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @private\n     */\n    Snap.prototype.forEachFeatureAdd_ = function (feature) {\n        this.addFeature(feature);\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @private\n     */\n    Snap.prototype.forEachFeatureRemove_ = function (feature) {\n        this.removeFeature(feature);\n    };\n    /**\n     * @return {import(\"../Collection.js\").default<import(\"../Feature.js\").default>|Array<import(\"../Feature.js\").default>} Features.\n     * @private\n     */\n    Snap.prototype.getFeatures_ = function () {\n        var features;\n        if (this.features_) {\n            features = this.features_;\n        }\n        else if (this.source_) {\n            features = this.source_.getFeatures();\n        }\n        return features;\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     */\n    Snap.prototype.handleEvent = function (evt) {\n        var result = this.snapTo(evt.pixel, evt.coordinate, evt.map);\n        if (result.snapped) {\n            evt.coordinate = result.vertex.slice(0, 2);\n            evt.pixel = result.vertexPixel;\n        }\n        return _super.prototype.handleEvent.call(this, evt);\n    };\n    /**\n     * @param {import(\"../source/Vector.js\").VectorSourceEvent|import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Snap.prototype.handleFeatureAdd_ = function (evt) {\n        var feature = getFeatureFromEvent(evt);\n        this.addFeature(feature);\n    };\n    /**\n     * @param {import(\"../source/Vector.js\").VectorSourceEvent|import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Snap.prototype.handleFeatureRemove_ = function (evt) {\n        var feature = getFeatureFromEvent(evt);\n        this.removeFeature(feature);\n    };\n    /**\n     * @param {import(\"../events/Event.js\").default} evt Event.\n     * @private\n     */\n    Snap.prototype.handleFeatureChange_ = function (evt) {\n        var feature = /** @type {import(\"../Feature.js\").default} */ (evt.target);\n        if (this.handlingDownUpSequence) {\n            var uid = getUid(feature);\n            if (!(uid in this.pendingFeatures_)) {\n                this.pendingFeatures_[uid] = feature;\n            }\n        }\n        else {\n            this.updateFeature_(feature);\n        }\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Snap.prototype.handleUpEvent = function (evt) {\n        var featuresToUpdate = getValues(this.pendingFeatures_);\n        if (featuresToUpdate.length) {\n            featuresToUpdate.forEach(this.updateFeature_.bind(this));\n            this.pendingFeatures_ = {};\n        }\n        return false;\n    };\n    /**\n     * Remove a feature from the collection of features that we may snap to.\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {boolean} [opt_unlisten] Whether to unlisten to the feature change\n     *     or not. Defaults to `true`.\n     * @api\n     */\n    Snap.prototype.removeFeature = function (feature, opt_unlisten) {\n        var unregister = opt_unlisten !== undefined ? opt_unlisten : true;\n        var feature_uid = getUid(feature);\n        var extent = this.indexedFeaturesExtents_[feature_uid];\n        if (extent) {\n            var rBush = this.rBush_;\n            var nodesToRemove_1 = [];\n            rBush.forEachInExtent(extent, function (node) {\n                if (feature === node.feature) {\n                    nodesToRemove_1.push(node);\n                }\n            });\n            for (var i = nodesToRemove_1.length - 1; i >= 0; --i) {\n                rBush.remove(nodesToRemove_1[i]);\n            }\n        }\n        if (unregister) {\n            unlistenByKey(this.featureChangeListenerKeys_[feature_uid]);\n            delete this.featureChangeListenerKeys_[feature_uid];\n        }\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Snap.prototype.setMap = function (map) {\n        var currentMap = this.getMap();\n        var keys = this.featuresListenerKeys_;\n        var features = /** @type {Array<import(\"../Feature.js\").default>} */ (this.getFeatures_());\n        if (currentMap) {\n            keys.forEach(unlistenByKey);\n            keys.length = 0;\n            features.forEach(this.forEachFeatureRemove_.bind(this));\n        }\n        _super.prototype.setMap.call(this, map);\n        if (map) {\n            if (this.features_) {\n                keys.push(listen(this.features_, CollectionEventType.ADD, this.handleFeatureAdd_, this), listen(this.features_, CollectionEventType.REMOVE, this.handleFeatureRemove_, this));\n            }\n            else if (this.source_) {\n                keys.push(listen(this.source_, VectorEventType.ADDFEATURE, this.handleFeatureAdd_, this), listen(this.source_, VectorEventType.REMOVEFEATURE, this.handleFeatureRemove_, this));\n            }\n            features.forEach(this.forEachFeatureAdd_.bind(this));\n        }\n    };\n    /**\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel\n     * @param {import(\"../coordinate.js\").Coordinate} pixelCoordinate Coordinate\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     * @return {Result} Snap result\n     */\n    Snap.prototype.snapTo = function (pixel, pixelCoordinate, map) {\n        var lowerLeft = map.getCoordinateFromPixel([\n            pixel[0] - this.pixelTolerance_,\n            pixel[1] + this.pixelTolerance_,\n        ]);\n        var upperRight = map.getCoordinateFromPixel([\n            pixel[0] + this.pixelTolerance_,\n            pixel[1] - this.pixelTolerance_,\n        ]);\n        var box = boundingExtent([lowerLeft, upperRight]);\n        var segments = this.rBush_.getInExtent(box);\n        // If snapping on vertices only, don't consider circles\n        if (this.vertex_ && !this.edge_) {\n            segments = segments.filter(function (segment) {\n                return segment.feature.getGeometry().getType() !== GeometryType.CIRCLE;\n            });\n        }\n        var snapped = false;\n        var vertex = null;\n        var vertexPixel = null;\n        if (segments.length === 0) {\n            return {\n                snapped: snapped,\n                vertex: vertex,\n                vertexPixel: vertexPixel,\n            };\n        }\n        var projection = map.getView().getProjection();\n        var projectedCoordinate = fromUserCoordinate(pixelCoordinate, projection);\n        var closestSegmentData;\n        var minSquaredDistance = Infinity;\n        for (var i = 0; i < segments.length; ++i) {\n            var segmentData = segments[i];\n            tempSegment[0] = fromUserCoordinate(segmentData.segment[0], projection);\n            tempSegment[1] = fromUserCoordinate(segmentData.segment[1], projection);\n            var delta = squaredDistanceToSegment(projectedCoordinate, tempSegment);\n            if (delta < minSquaredDistance) {\n                closestSegmentData = segmentData;\n                minSquaredDistance = delta;\n            }\n        }\n        var closestSegment = closestSegmentData.segment;\n        if (this.vertex_ && !this.edge_) {\n            var pixel1 = map.getPixelFromCoordinate(closestSegment[0]);\n            var pixel2 = map.getPixelFromCoordinate(closestSegment[1]);\n            var squaredDist1 = squaredCoordinateDistance(pixel, pixel1);\n            var squaredDist2 = squaredCoordinateDistance(pixel, pixel2);\n            var dist = Math.sqrt(Math.min(squaredDist1, squaredDist2));\n            if (dist <= this.pixelTolerance_) {\n                snapped = true;\n                vertex =\n                    squaredDist1 > squaredDist2 ? closestSegment[1] : closestSegment[0];\n                vertexPixel = map.getPixelFromCoordinate(vertex);\n            }\n        }\n        else if (this.edge_) {\n            var isCircle = closestSegmentData.feature.getGeometry().getType() ===\n                GeometryType.CIRCLE;\n            if (isCircle) {\n                var circleGeometry = closestSegmentData.feature.getGeometry();\n                var userProjection = getUserProjection();\n                if (userProjection) {\n                    circleGeometry = circleGeometry\n                        .clone()\n                        .transform(userProjection, projection);\n                }\n                vertex = toUserCoordinate(closestOnCircle(projectedCoordinate, \n                /** @type {import(\"../geom/Circle.js\").default} */ (circleGeometry)), projection);\n            }\n            else {\n                tempSegment[0] = fromUserCoordinate(closestSegment[0], projection);\n                tempSegment[1] = fromUserCoordinate(closestSegment[1], projection);\n                vertex = toUserCoordinate(closestOnSegment(projectedCoordinate, tempSegment), projection);\n            }\n            vertexPixel = map.getPixelFromCoordinate(vertex);\n            if (coordinateDistance(pixel, vertexPixel) <= this.pixelTolerance_) {\n                snapped = true;\n                if (this.vertex_ && !isCircle) {\n                    var pixel1 = map.getPixelFromCoordinate(closestSegment[0]);\n                    var pixel2 = map.getPixelFromCoordinate(closestSegment[1]);\n                    var squaredDist1 = squaredCoordinateDistance(vertexPixel, pixel1);\n                    var squaredDist2 = squaredCoordinateDistance(vertexPixel, pixel2);\n                    var dist = Math.sqrt(Math.min(squaredDist1, squaredDist2));\n                    if (dist <= this.pixelTolerance_) {\n                        vertex =\n                            squaredDist1 > squaredDist2\n                                ? closestSegment[1]\n                                : closestSegment[0];\n                        vertexPixel = map.getPixelFromCoordinate(vertex);\n                    }\n                }\n            }\n        }\n        if (snapped) {\n            vertexPixel = [Math.round(vertexPixel[0]), Math.round(vertexPixel[1])];\n        }\n        return {\n            snapped: snapped,\n            vertex: vertex,\n            vertexPixel: vertexPixel,\n        };\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @private\n     */\n    Snap.prototype.updateFeature_ = function (feature) {\n        this.removeFeature(feature, false);\n        this.addFeature(feature, false);\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/Circle.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeCircleGeometry_ = function (feature, geometry) {\n        var projection = this.getMap().getView().getProjection();\n        var circleGeometry = geometry;\n        var userProjection = getUserProjection();\n        if (userProjection) {\n            circleGeometry = /** @type {import(\"../geom/Circle.js\").default} */ (circleGeometry.clone().transform(userProjection, projection));\n        }\n        var polygon = fromCircle(circleGeometry);\n        if (userProjection) {\n            polygon.transform(projection, userProjection);\n        }\n        var coordinates = polygon.getCoordinates()[0];\n        for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n            var segment = coordinates.slice(i, i + 2);\n            var segmentData = {\n                feature: feature,\n                segment: segment,\n            };\n            this.rBush_.insert(boundingExtent(segment), segmentData);\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/GeometryCollection.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeGeometryCollectionGeometry_ = function (feature, geometry) {\n        var geometries = geometry.getGeometriesArray();\n        for (var i = 0; i < geometries.length; ++i) {\n            var segmentWriter = this.SEGMENT_WRITERS_[geometries[i].getType()];\n            if (segmentWriter) {\n                segmentWriter(feature, geometries[i]);\n            }\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/LineString.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeLineStringGeometry_ = function (feature, geometry) {\n        var coordinates = geometry.getCoordinates();\n        for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n            var segment = coordinates.slice(i, i + 2);\n            var segmentData = {\n                feature: feature,\n                segment: segment,\n            };\n            this.rBush_.insert(boundingExtent(segment), segmentData);\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/MultiLineString.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeMultiLineStringGeometry_ = function (feature, geometry) {\n        var lines = geometry.getCoordinates();\n        for (var j = 0, jj = lines.length; j < jj; ++j) {\n            var coordinates = lines[j];\n            for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                var segment = coordinates.slice(i, i + 2);\n                var segmentData = {\n                    feature: feature,\n                    segment: segment,\n                };\n                this.rBush_.insert(boundingExtent(segment), segmentData);\n            }\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/MultiPoint.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeMultiPointGeometry_ = function (feature, geometry) {\n        var points = geometry.getCoordinates();\n        for (var i = 0, ii = points.length; i < ii; ++i) {\n            var coordinates = points[i];\n            var segmentData = {\n                feature: feature,\n                segment: [coordinates, coordinates],\n            };\n            this.rBush_.insert(geometry.getExtent(), segmentData);\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/MultiPolygon.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeMultiPolygonGeometry_ = function (feature, geometry) {\n        var polygons = geometry.getCoordinates();\n        for (var k = 0, kk = polygons.length; k < kk; ++k) {\n            var rings = polygons[k];\n            for (var j = 0, jj = rings.length; j < jj; ++j) {\n                var coordinates = rings[j];\n                for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                    var segment = coordinates.slice(i, i + 2);\n                    var segmentData = {\n                        feature: feature,\n                        segment: segment,\n                    };\n                    this.rBush_.insert(boundingExtent(segment), segmentData);\n                }\n            }\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/Point.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writePointGeometry_ = function (feature, geometry) {\n        var coordinates = geometry.getCoordinates();\n        var segmentData = {\n            feature: feature,\n            segment: [coordinates, coordinates],\n        };\n        this.rBush_.insert(geometry.getExtent(), segmentData);\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/Polygon.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writePolygonGeometry_ = function (feature, geometry) {\n        var rings = geometry.getCoordinates();\n        for (var j = 0, jj = rings.length; j < jj; ++j) {\n            var coordinates = rings[j];\n            for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                var segment = coordinates.slice(i, i + 2);\n                var segmentData = {\n                    feature: feature,\n                    segment: segment,\n                };\n                this.rBush_.insert(boundingExtent(segment), segmentData);\n            }\n        }\n    };\n    return Snap;\n}(PointerInteraction));\nexport default Snap;\n//# sourceMappingURL=Snap.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Translate\n */\nimport Collection from '../Collection.js';\nimport Event from '../events/Event.js';\nimport InteractionProperty from './Property.js';\nimport PointerInteraction from './Pointer.js';\nimport { TRUE } from '../functions.js';\nimport { always } from '../events/condition.js';\nimport { includes } from '../array.js';\n/**\n * @enum {string}\n */\nvar TranslateEventType = {\n    /**\n     * Triggered upon feature translation start.\n     * @event TranslateEvent#translatestart\n     * @api\n     */\n    TRANSLATESTART: 'translatestart',\n    /**\n     * Triggered upon feature translation.\n     * @event TranslateEvent#translating\n     * @api\n     */\n    TRANSLATING: 'translating',\n    /**\n     * Triggered upon feature translation end.\n     * @event TranslateEvent#translateend\n     * @api\n     */\n    TRANSLATEEND: 'translateend',\n};\n/**\n * A function that takes an {@link module:ol/Feature} or\n * {@link module:ol/render/Feature} and an\n * {@link module:ol/layer/Layer} and returns `true` if the feature may be\n * translated or `false` otherwise.\n * @typedef {function(import(\"../Feature.js\").FeatureLike, import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>):boolean} FilterFunction\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.always}.\n * @property {Collection<import(\"../Feature.js\").default>} [features] Features contained in this collection will be able to be translated together.\n * @property {Array<import(\"../layer/Layer.js\").default>|function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} [layers] A list of layers from which features should be\n * translated. Alternatively, a filter function can be provided. The\n * function will be called for each layer in the map and should return\n * `true` for layers that you want to be translatable. If the option is\n * absent, all visible layers will be considered translatable.\n * Not used if `features` is provided.\n * @property {FilterFunction} [filter] A function\n * that takes an {@link module:ol/Feature} and an\n * {@link module:ol/layer/Layer} and returns `true` if the feature may be\n * translated or `false` otherwise. Not used if `features` is provided.\n * @property {number} [hitTolerance=0] Hit-detection tolerance. Pixels inside the radius around the given position\n * will be checked for features.\n */\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/Translate~Translate} instances\n * are instances of this type.\n */\nvar TranslateEvent = /** @class */ (function (_super) {\n    __extends(TranslateEvent, _super);\n    /**\n     * @param {TranslateEventType} type Type.\n     * @param {Collection<import(\"../Feature.js\").default>} features The features translated.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate The event coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} startCoordinate The original coordinates before.translation started\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     */\n    function TranslateEvent(type, features, coordinate, startCoordinate, mapBrowserEvent) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The features being translated.\n         * @type {Collection<import(\"../Feature.js\").default>}\n         * @api\n         */\n        _this.features = features;\n        /**\n         * The coordinate of the drag event.\n         * @const\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @api\n         */\n        _this.coordinate = coordinate;\n        /**\n         * The coordinate of the start position before translation started.\n         * @const\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @api\n         */\n        _this.startCoordinate = startCoordinate;\n        /**\n         * Associated {@link module:ol/MapBrowserEvent}.\n         * @type {import(\"../MapBrowserEvent.js\").default}\n         * @api\n         */\n        _this.mapBrowserEvent = mapBrowserEvent;\n        return _this;\n    }\n    return TranslateEvent;\n}(Event));\nexport { TranslateEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'translateend'|'translatestart'|'translating', TranslateEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'translateend'|'translatestart'|'translating', Return>} TranslateOnSignature\n */\n/**\n * @classdesc\n * Interaction for translating (moving) features.\n * If you want to translate multiple features in a single action (for example,\n * the collection used by a select interaction), construct the interaction with\n * the `features` option.\n *\n * @fires TranslateEvent\n * @api\n */\nvar Translate = /** @class */ (function (_super) {\n    __extends(Translate, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Translate(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, /** @type {import(\"./Pointer.js\").Options} */ (options)) || this;\n        /***\n         * @type {TranslateOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {TranslateOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {TranslateOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * The last position we translated to.\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @private\n         */\n        _this.lastCoordinate_ = null;\n        /**\n         * The start position before translation started.\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @private\n         */\n        _this.startCoordinate_ = null;\n        /**\n         * @type {Collection<import(\"../Feature.js\").default>}\n         * @private\n         */\n        _this.features_ = options.features !== undefined ? options.features : null;\n        /** @type {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} */\n        var layerFilter;\n        if (options.layers && !_this.features_) {\n            if (typeof options.layers === 'function') {\n                layerFilter = options.layers;\n            }\n            else {\n                var layers_1 = options.layers;\n                layerFilter = function (layer) {\n                    return includes(layers_1, layer);\n                };\n            }\n        }\n        else {\n            layerFilter = TRUE;\n        }\n        /**\n         * @private\n         * @type {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean}\n         */\n        _this.layerFilter_ = layerFilter;\n        /**\n         * @private\n         * @type {FilterFunction}\n         */\n        _this.filter_ = options.filter && !_this.features_ ? options.filter : TRUE;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.hitTolerance_ = options.hitTolerance ? options.hitTolerance : 0;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : always;\n        /**\n         * @type {import(\"../Feature.js\").default}\n         * @private\n         */\n        _this.lastFeature_ = null;\n        _this.addChangeListener(InteractionProperty.ACTIVE, _this.handleActiveChanged_);\n        return _this;\n    }\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Translate.prototype.handleDownEvent = function (event) {\n        if (!event.originalEvent || !this.condition_(event)) {\n            return false;\n        }\n        this.lastFeature_ = this.featuresAtPixel_(event.pixel, event.map);\n        if (!this.lastCoordinate_ && this.lastFeature_) {\n            this.startCoordinate_ = event.coordinate;\n            this.lastCoordinate_ = event.coordinate;\n            this.handleMoveEvent(event);\n            var features = this.features_ || new Collection([this.lastFeature_]);\n            this.dispatchEvent(new TranslateEvent(TranslateEventType.TRANSLATESTART, features, event.coordinate, this.startCoordinate_, event));\n            return true;\n        }\n        return false;\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Translate.prototype.handleUpEvent = function (event) {\n        if (this.lastCoordinate_) {\n            this.lastCoordinate_ = null;\n            this.handleMoveEvent(event);\n            var features = this.features_ || new Collection([this.lastFeature_]);\n            this.dispatchEvent(new TranslateEvent(TranslateEventType.TRANSLATEEND, features, event.coordinate, this.startCoordinate_, event));\n            // cleanup\n            this.startCoordinate_ = null;\n            return true;\n        }\n        return false;\n    };\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     */\n    Translate.prototype.handleDragEvent = function (event) {\n        if (this.lastCoordinate_) {\n            var newCoordinate = event.coordinate;\n            var deltaX_1 = newCoordinate[0] - this.lastCoordinate_[0];\n            var deltaY_1 = newCoordinate[1] - this.lastCoordinate_[1];\n            var features = this.features_ || new Collection([this.lastFeature_]);\n            features.forEach(function (feature) {\n                var geom = feature.getGeometry();\n                geom.translate(deltaX_1, deltaY_1);\n                feature.setGeometry(geom);\n            });\n            this.lastCoordinate_ = newCoordinate;\n            this.dispatchEvent(new TranslateEvent(TranslateEventType.TRANSLATING, features, newCoordinate, this.startCoordinate_, event));\n        }\n    };\n    /**\n     * Handle pointer move events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     */\n    Translate.prototype.handleMoveEvent = function (event) {\n        var elem = event.map.getViewport();\n        // Change the cursor to grab/grabbing if hovering any of the features managed\n        // by the interaction\n        if (this.featuresAtPixel_(event.pixel, event.map)) {\n            elem.classList.remove(this.lastCoordinate_ ? 'ol-grab' : 'ol-grabbing');\n            elem.classList.add(this.lastCoordinate_ ? 'ol-grabbing' : 'ol-grab');\n        }\n        else {\n            elem.classList.remove('ol-grab', 'ol-grabbing');\n        }\n    };\n    /**\n     * Tests to see if the given coordinates intersects any of our selected\n     * features.\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel coordinate to test for intersection.\n     * @param {import(\"../PluggableMap.js\").default} map Map to test the intersection on.\n     * @return {import(\"../Feature.js\").default} Returns the feature found at the specified pixel\n     * coordinates.\n     * @private\n     */\n    Translate.prototype.featuresAtPixel_ = function (pixel, map) {\n        return map.forEachFeatureAtPixel(pixel, function (feature, layer) {\n            if (this.filter_(feature, layer)) {\n                if (!this.features_ || includes(this.features_.getArray(), feature)) {\n                    return feature;\n                }\n            }\n        }.bind(this), {\n            layerFilter: this.layerFilter_,\n            hitTolerance: this.hitTolerance_,\n        });\n    };\n    /**\n     * Returns the Hit-detection tolerance.\n     * @return {number} Hit tolerance in pixels.\n     * @api\n     */\n    Translate.prototype.getHitTolerance = function () {\n        return this.hitTolerance_;\n    };\n    /**\n     * Hit-detection tolerance. Pixels inside the radius around the given position\n     * will be checked for features.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @api\n     */\n    Translate.prototype.setHitTolerance = function (hitTolerance) {\n        this.hitTolerance_ = hitTolerance;\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Translate.prototype.setMap = function (map) {\n        var oldMap = this.getMap();\n        _super.prototype.setMap.call(this, map);\n        this.updateState_(oldMap);\n    };\n    /**\n     * @private\n     */\n    Translate.prototype.handleActiveChanged_ = function () {\n        this.updateState_(null);\n    };\n    /**\n     * @param {import(\"../PluggableMap.js\").default} oldMap Old map.\n     * @private\n     */\n    Translate.prototype.updateState_ = function (oldMap) {\n        var map = this.getMap();\n        var active = this.getActive();\n        if (!map || !active) {\n            map = map || oldMap;\n            if (map) {\n                var elem = map.getViewport();\n                elem.classList.remove('ol-grab', 'ol-grabbing');\n            }\n        }\n    };\n    return Translate;\n}(PointerInteraction));\nexport default Translate;\n//# sourceMappingURL=Translate.js.map","/**\n * @module ol/interaction\n */\nimport Collection from './Collection.js';\nimport DoubleClickZoom from './interaction/DoubleClickZoom.js';\nimport DragPan from './interaction/DragPan.js';\nimport DragRotate from './interaction/DragRotate.js';\nimport DragZoom from './interaction/DragZoom.js';\nimport KeyboardPan from './interaction/KeyboardPan.js';\nimport KeyboardZoom from './interaction/KeyboardZoom.js';\nimport Kinetic from './Kinetic.js';\nimport MouseWheelZoom from './interaction/MouseWheelZoom.js';\nimport PinchRotate from './interaction/PinchRotate.js';\nimport PinchZoom from './interaction/PinchZoom.js';\nexport { default as DoubleClickZoom } from './interaction/DoubleClickZoom.js';\nexport { default as DragAndDrop } from './interaction/DragAndDrop.js';\nexport { default as DragBox } from './interaction/DragBox.js';\nexport { default as DragPan } from './interaction/DragPan.js';\nexport { default as DragRotate } from './interaction/DragRotate.js';\nexport { default as DragRotateAndZoom } from './interaction/DragRotateAndZoom.js';\nexport { default as DragZoom } from './interaction/DragZoom.js';\nexport { default as Draw } from './interaction/Draw.js';\nexport { default as Extent } from './interaction/Extent.js';\nexport { default as Interaction } from './interaction/Interaction.js';\nexport { default as KeyboardPan } from './interaction/KeyboardPan.js';\nexport { default as KeyboardZoom } from './interaction/KeyboardZoom.js';\nexport { default as Modify } from './interaction/Modify.js';\nexport { default as MouseWheelZoom } from './interaction/MouseWheelZoom.js';\nexport { default as PinchRotate } from './interaction/PinchRotate.js';\nexport { default as PinchZoom } from './interaction/PinchZoom.js';\nexport { default as Pointer } from './interaction/Pointer.js';\nexport { default as Select } from './interaction/Select.js';\nexport { default as Snap } from './interaction/Snap.js';\nexport { default as Translate } from './interaction/Translate.js';\n/**\n * @typedef {Object} DefaultsOptions\n * @property {boolean} [altShiftDragRotate=true] Whether Alt-Shift-drag rotate is\n * desired.\n * @property {boolean} [onFocusOnly=false] Interact only when the map has the\n * focus. This affects the `MouseWheelZoom` and `DragPan` interactions and is\n * useful when page scroll is desired for maps that do not have the browser's\n * focus.\n * @property {boolean} [doubleClickZoom=true] Whether double click zoom is\n * desired.\n * @property {boolean} [keyboard=true] Whether keyboard interaction is desired.\n * @property {boolean} [mouseWheelZoom=true] Whether mousewheel zoom is desired.\n * @property {boolean} [shiftDragZoom=true] Whether Shift-drag zoom is desired.\n * @property {boolean} [dragPan=true] Whether drag pan is desired.\n * @property {boolean} [pinchRotate=true] Whether pinch rotate is desired.\n * @property {boolean} [pinchZoom=true] Whether pinch zoom is desired.\n * @property {number} [zoomDelta] Zoom level delta when using keyboard or double click zoom.\n * @property {number} [zoomDuration] Duration of the zoom animation in\n * milliseconds.\n */\n/**\n * Set of interactions included in maps by default. Specific interactions can be\n * excluded by setting the appropriate option to false in the constructor\n * options, but the order of the interactions is fixed.  If you want to specify\n * a different order for interactions, you will need to create your own\n * {@link module:ol/interaction/Interaction} instances and insert\n * them into a {@link module:ol/Collection} in the order you want\n * before creating your {@link module:ol/Map~Map} instance. Changing the order can\n * be of interest if the event propagation needs to be stopped at a point.\n * The default set of interactions, in sequence, is:\n * * {@link module:ol/interaction/DragRotate~DragRotate}\n * * {@link module:ol/interaction/DoubleClickZoom~DoubleClickZoom}\n * * {@link module:ol/interaction/DragPan~DragPan}\n * * {@link module:ol/interaction/PinchRotate~PinchRotate}\n * * {@link module:ol/interaction/PinchZoom~PinchZoom}\n * * {@link module:ol/interaction/KeyboardPan~KeyboardPan}\n * * {@link module:ol/interaction/KeyboardZoom~KeyboardZoom}\n * * {@link module:ol/interaction/MouseWheelZoom~MouseWheelZoom}\n * * {@link module:ol/interaction/DragZoom~DragZoom}\n *\n * @param {DefaultsOptions} [opt_options] Defaults options.\n * @return {import(\"./Collection.js\").default<import(\"./interaction/Interaction.js\").default>}\n * A collection of interactions to be used with the {@link module:ol/Map~Map}\n * constructor's `interactions` option.\n * @api\n */\nexport function defaults(opt_options) {\n    var options = opt_options ? opt_options : {};\n    var interactions = new Collection();\n    var kinetic = new Kinetic(-0.005, 0.05, 100);\n    var altShiftDragRotate = options.altShiftDragRotate !== undefined\n        ? options.altShiftDragRotate\n        : true;\n    if (altShiftDragRotate) {\n        interactions.push(new DragRotate());\n    }\n    var doubleClickZoom = options.doubleClickZoom !== undefined ? options.doubleClickZoom : true;\n    if (doubleClickZoom) {\n        interactions.push(new DoubleClickZoom({\n            delta: options.zoomDelta,\n            duration: options.zoomDuration,\n        }));\n    }\n    var dragPan = options.dragPan !== undefined ? options.dragPan : true;\n    if (dragPan) {\n        interactions.push(new DragPan({\n            onFocusOnly: options.onFocusOnly,\n            kinetic: kinetic,\n        }));\n    }\n    var pinchRotate = options.pinchRotate !== undefined ? options.pinchRotate : true;\n    if (pinchRotate) {\n        interactions.push(new PinchRotate());\n    }\n    var pinchZoom = options.pinchZoom !== undefined ? options.pinchZoom : true;\n    if (pinchZoom) {\n        interactions.push(new PinchZoom({\n            duration: options.zoomDuration,\n        }));\n    }\n    var keyboard = options.keyboard !== undefined ? options.keyboard : true;\n    if (keyboard) {\n        interactions.push(new KeyboardPan());\n        interactions.push(new KeyboardZoom({\n            delta: options.zoomDelta,\n            duration: options.zoomDuration,\n        }));\n    }\n    var mouseWheelZoom = options.mouseWheelZoom !== undefined ? options.mouseWheelZoom : true;\n    if (mouseWheelZoom) {\n        interactions.push(new MouseWheelZoom({\n            onFocusOnly: options.onFocusOnly,\n            duration: options.zoomDuration,\n        }));\n    }\n    var shiftDragZoom = options.shiftDragZoom !== undefined ? options.shiftDragZoom : true;\n    if (shiftDragZoom) {\n        interactions.push(new DragZoom({\n            duration: options.zoomDuration,\n        }));\n    }\n    return interactions;\n}\n//# sourceMappingURL=interaction.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Map\n */\nimport CompositeMapRenderer from './renderer/Composite.js';\nimport PluggableMap from './PluggableMap.js';\nimport { assign } from './obj.js';\nimport { defaults as defaultControls } from './control.js';\nimport { defaults as defaultInteractions } from './interaction.js';\n/**\n * @classdesc\n * The map is the core component of OpenLayers. For a map to render, a view,\n * one or more layers, and a target container are needed:\n *\n *     import Map from 'ol/Map';\n *     import View from 'ol/View';\n *     import TileLayer from 'ol/layer/Tile';\n *     import OSM from 'ol/source/OSM';\n *\n *     var map = new Map({\n *       view: new View({\n *         center: [0, 0],\n *         zoom: 1\n *       }),\n *       layers: [\n *         new TileLayer({\n *           source: new OSM()\n *         })\n *       ],\n *       target: 'map'\n *     });\n *\n * The above snippet creates a map using a {@link module:ol/layer/Tile} to\n * display {@link module:ol/source/OSM~OSM} OSM data and render it to a DOM\n * element with the id `map`.\n *\n * The constructor places a viewport container (with CSS class name\n * `ol-viewport`) in the target element (see `getViewport()`), and then two\n * further elements within the viewport: one with CSS class name\n * `ol-overlaycontainer-stopevent` for controls and some overlays, and one with\n * CSS class name `ol-overlaycontainer` for other overlays (see the `stopEvent`\n * option of {@link module:ol/Overlay~Overlay} for the difference). The map\n * itself is placed in a further element within the viewport.\n *\n * Layers are stored as a {@link module:ol/Collection~Collection} in\n * layerGroups. A top-level group is provided by the library. This is what is\n * accessed by `getLayerGroup` and `setLayerGroup`. Layers entered in the\n * options are added to this group, and `addLayer` and `removeLayer` change the\n * layer collection in the group. `getLayers` is a convenience function for\n * `getLayerGroup().getLayers()`. Note that {@link module:ol/layer/Group~Group}\n * is a subclass of {@link module:ol/layer/Base}, so layers entered in the\n * options or added with `addLayer` can be groups, which can contain further\n * groups, and so on.\n *\n * @api\n */\nvar Map = /** @class */ (function (_super) {\n    __extends(Map, _super);\n    /**\n     * @param {import(\"./PluggableMap.js\").MapOptions} options Map options.\n     */\n    function Map(options) {\n        var _this = this;\n        options = assign({}, options);\n        if (!options.controls) {\n            options.controls = defaultControls();\n        }\n        if (!options.interactions) {\n            options.interactions = defaultInteractions({\n                onFocusOnly: true,\n            });\n        }\n        _this = _super.call(this, options) || this;\n        return _this;\n    }\n    Map.prototype.createRenderer = function () {\n        return new CompositeMapRenderer(this);\n    };\n    return Map;\n}(PluggableMap));\nexport default Map;\n//# sourceMappingURL=Map.js.map","/**\n * @module ol/control\n */\nimport Attribution from './control/Attribution.js';\nimport Collection from './Collection.js';\nimport Rotate from './control/Rotate.js';\nimport Zoom from './control/Zoom.js';\nexport { default as Attribution } from './control/Attribution.js';\nexport { default as Control } from './control/Control.js';\nexport { default as FullScreen } from './control/FullScreen.js';\nexport { default as MousePosition } from './control/MousePosition.js';\nexport { default as OverviewMap } from './control/OverviewMap.js';\nexport { default as Rotate } from './control/Rotate.js';\nexport { default as ScaleLine } from './control/ScaleLine.js';\nexport { default as Zoom } from './control/Zoom.js';\nexport { default as ZoomSlider } from './control/ZoomSlider.js';\nexport { default as ZoomToExtent } from './control/ZoomToExtent.js';\n/**\n * @typedef {Object} DefaultsOptions\n * @property {boolean} [attribution=true] Include\n * {@link module:ol/control/Attribution~Attribution}.\n * @property {import(\"./control/Attribution.js\").Options} [attributionOptions]\n * Options for {@link module:ol/control/Attribution~Attribution}.\n * @property {boolean} [rotate=true] Include\n * {@link module:ol/control/Rotate~Rotate}.\n * @property {import(\"./control/Rotate.js\").Options} [rotateOptions] Options\n * for {@link module:ol/control/Rotate~Rotate}.\n * @property {boolean} [zoom] Include {@link module:ol/control/Zoom~Zoom}.\n * @property {import(\"./control/Zoom.js\").Options} [zoomOptions] Options for\n * {@link module:ol/control/Zoom~Zoom}.\n * @api\n */\n/**\n * Set of controls included in maps by default. Unless configured otherwise,\n * this returns a collection containing an instance of each of the following\n * controls:\n * * {@link module:ol/control/Zoom~Zoom}\n * * {@link module:ol/control/Rotate~Rotate}\n * * {@link module:ol/control/Attribution~Attribution}\n *\n * @param {DefaultsOptions} [opt_options]\n * Defaults options.\n * @return {Collection<import(\"./control/Control.js\").default>}\n * Controls.\n * @api\n */\nexport function defaults(opt_options) {\n    var options = opt_options ? opt_options : {};\n    var controls = new Collection();\n    var zoomControl = options.zoom !== undefined ? options.zoom : true;\n    if (zoomControl) {\n        controls.push(new Zoom(options.zoomOptions));\n    }\n    var rotateControl = options.rotate !== undefined ? options.rotate : true;\n    if (rotateControl) {\n        controls.push(new Rotate(options.rotateOptions));\n    }\n    var attributionControl = options.attribution !== undefined ? options.attribution : true;\n    if (attributionControl) {\n        controls.push(new Attribution(options.attributionOptions));\n    }\n    return controls;\n}\n//# sourceMappingURL=control.js.map","/**\n * @module ol/structs/LRUCache\n */\nimport { assert } from '../asserts.js';\n/**\n * @typedef {Object} Entry\n * @property {string} key_ Key.\n * @property {Object} newer Newer.\n * @property {Object} older Older.\n * @property {*} value_ Value.\n */\n/**\n * @classdesc\n * Implements a Least-Recently-Used cache where the keys do not conflict with\n * Object's properties (e.g. 'hasOwnProperty' is not allowed as a key). Expiring\n * items from the cache is the responsibility of the user.\n *\n * @fires import(\"../events/Event.js\").default\n * @template T\n */\nvar LRUCache = /** @class */ (function () {\n    /**\n     * @param {number} [opt_highWaterMark] High water mark.\n     */\n    function LRUCache(opt_highWaterMark) {\n        /**\n         * Desired max cache size after expireCache(). If set to 0, no cache entries\n         * will be pruned at all.\n         * @type {number}\n         */\n        this.highWaterMark =\n            opt_highWaterMark !== undefined ? opt_highWaterMark : 2048;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.count_ = 0;\n        /**\n         * @private\n         * @type {!Object<string, Entry>}\n         */\n        this.entries_ = {};\n        /**\n         * @private\n         * @type {?Entry}\n         */\n        this.oldest_ = null;\n        /**\n         * @private\n         * @type {?Entry}\n         */\n        this.newest_ = null;\n    }\n    /**\n     * @return {boolean} Can expire cache.\n     */\n    LRUCache.prototype.canExpireCache = function () {\n        return this.highWaterMark > 0 && this.getCount() > this.highWaterMark;\n    };\n    /**\n     * FIXME empty description for jsdoc\n     */\n    LRUCache.prototype.clear = function () {\n        this.count_ = 0;\n        this.entries_ = {};\n        this.oldest_ = null;\n        this.newest_ = null;\n    };\n    /**\n     * @param {string} key Key.\n     * @return {boolean} Contains key.\n     */\n    LRUCache.prototype.containsKey = function (key) {\n        return this.entries_.hasOwnProperty(key);\n    };\n    /**\n     * @param {function(T, string, LRUCache<T>): ?} f The function\n     *     to call for every entry from the oldest to the newer. This function takes\n     *     3 arguments (the entry value, the entry key and the LRUCache object).\n     *     The return value is ignored.\n     */\n    LRUCache.prototype.forEach = function (f) {\n        var entry = this.oldest_;\n        while (entry) {\n            f(entry.value_, entry.key_, this);\n            entry = entry.newer;\n        }\n    };\n    /**\n     * @param {string} key Key.\n     * @param {*} [opt_options] Options (reserved for subclasses).\n     * @return {T} Value.\n     */\n    LRUCache.prototype.get = function (key, opt_options) {\n        var entry = this.entries_[key];\n        assert(entry !== undefined, 15); // Tried to get a value for a key that does not exist in the cache\n        if (entry === this.newest_) {\n            return entry.value_;\n        }\n        else if (entry === this.oldest_) {\n            this.oldest_ = /** @type {Entry} */ (this.oldest_.newer);\n            this.oldest_.older = null;\n        }\n        else {\n            entry.newer.older = entry.older;\n            entry.older.newer = entry.newer;\n        }\n        entry.newer = null;\n        entry.older = this.newest_;\n        this.newest_.newer = entry;\n        this.newest_ = entry;\n        return entry.value_;\n    };\n    /**\n     * Remove an entry from the cache.\n     * @param {string} key The entry key.\n     * @return {T} The removed entry.\n     */\n    LRUCache.prototype.remove = function (key) {\n        var entry = this.entries_[key];\n        assert(entry !== undefined, 15); // Tried to get a value for a key that does not exist in the cache\n        if (entry === this.newest_) {\n            this.newest_ = /** @type {Entry} */ (entry.older);\n            if (this.newest_) {\n                this.newest_.newer = null;\n            }\n        }\n        else if (entry === this.oldest_) {\n            this.oldest_ = /** @type {Entry} */ (entry.newer);\n            if (this.oldest_) {\n                this.oldest_.older = null;\n            }\n        }\n        else {\n            entry.newer.older = entry.older;\n            entry.older.newer = entry.newer;\n        }\n        delete this.entries_[key];\n        --this.count_;\n        return entry.value_;\n    };\n    /**\n     * @return {number} Count.\n     */\n    LRUCache.prototype.getCount = function () {\n        return this.count_;\n    };\n    /**\n     * @return {Array<string>} Keys.\n     */\n    LRUCache.prototype.getKeys = function () {\n        var keys = new Array(this.count_);\n        var i = 0;\n        var entry;\n        for (entry = this.newest_; entry; entry = entry.older) {\n            keys[i++] = entry.key_;\n        }\n        return keys;\n    };\n    /**\n     * @return {Array<T>} Values.\n     */\n    LRUCache.prototype.getValues = function () {\n        var values = new Array(this.count_);\n        var i = 0;\n        var entry;\n        for (entry = this.newest_; entry; entry = entry.older) {\n            values[i++] = entry.value_;\n        }\n        return values;\n    };\n    /**\n     * @return {T} Last value.\n     */\n    LRUCache.prototype.peekLast = function () {\n        return this.oldest_.value_;\n    };\n    /**\n     * @return {string} Last key.\n     */\n    LRUCache.prototype.peekLastKey = function () {\n        return this.oldest_.key_;\n    };\n    /**\n     * Get the key of the newest item in the cache.  Throws if the cache is empty.\n     * @return {string} The newest key.\n     */\n    LRUCache.prototype.peekFirstKey = function () {\n        return this.newest_.key_;\n    };\n    /**\n     * @return {T} value Value.\n     */\n    LRUCache.prototype.pop = function () {\n        var entry = this.oldest_;\n        delete this.entries_[entry.key_];\n        if (entry.newer) {\n            entry.newer.older = null;\n        }\n        this.oldest_ = /** @type {Entry} */ (entry.newer);\n        if (!this.oldest_) {\n            this.newest_ = null;\n        }\n        --this.count_;\n        return entry.value_;\n    };\n    /**\n     * @param {string} key Key.\n     * @param {T} value Value.\n     */\n    LRUCache.prototype.replace = function (key, value) {\n        this.get(key); // update `newest_`\n        this.entries_[key].value_ = value;\n    };\n    /**\n     * @param {string} key Key.\n     * @param {T} value Value.\n     */\n    LRUCache.prototype.set = function (key, value) {\n        assert(!(key in this.entries_), 16); // Tried to set a value for a key that is used already\n        var entry = {\n            key_: key,\n            newer: null,\n            older: this.newest_,\n            value_: value,\n        };\n        if (!this.newest_) {\n            this.oldest_ = entry;\n        }\n        else {\n            this.newest_.newer = entry;\n        }\n        this.newest_ = entry;\n        this.entries_[key] = entry;\n        ++this.count_;\n    };\n    /**\n     * Set a maximum number of entries for the cache.\n     * @param {number} size Cache size.\n     * @api\n     */\n    LRUCache.prototype.setSize = function (size) {\n        this.highWaterMark = size;\n    };\n    return LRUCache;\n}());\nexport default LRUCache;\n//# sourceMappingURL=LRUCache.js.map","/**\n * @module ol/tilecoord\n */\n/**\n * An array of three numbers representing the location of a tile in a tile\n * grid. The order is `z` (zoom level), `x` (column), and `y` (row).\n * @typedef {Array<number>} TileCoord\n * @api\n */\n/**\n * @param {number} z Z.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {TileCoord} [opt_tileCoord] Tile coordinate.\n * @return {TileCoord} Tile coordinate.\n */\nexport function createOrUpdate(z, x, y, opt_tileCoord) {\n    if (opt_tileCoord !== undefined) {\n        opt_tileCoord[0] = z;\n        opt_tileCoord[1] = x;\n        opt_tileCoord[2] = y;\n        return opt_tileCoord;\n    }\n    else {\n        return [z, x, y];\n    }\n}\n/**\n * @param {number} z Z.\n * @param {number} x X.\n * @param {number} y Y.\n * @return {string} Key.\n */\nexport function getKeyZXY(z, x, y) {\n    return z + '/' + x + '/' + y;\n}\n/**\n * Get the key for a tile coord.\n * @param {TileCoord} tileCoord The tile coord.\n * @return {string} Key.\n */\nexport function getKey(tileCoord) {\n    return getKeyZXY(tileCoord[0], tileCoord[1], tileCoord[2]);\n}\n/**\n * Get the tile cache key for a tile key obtained through `tile.getKey()`.\n * @param {string} tileKey The tile key.\n * @return {string} The cache key.\n */\nexport function getCacheKeyForTileKey(tileKey) {\n    var _a = tileKey\n        .substring(tileKey.lastIndexOf('/') + 1, tileKey.length)\n        .split(',')\n        .map(Number), z = _a[0], x = _a[1], y = _a[2];\n    return getKeyZXY(z, x, y);\n}\n/**\n * Get a tile coord given a key.\n * @param {string} key The tile coord key.\n * @return {TileCoord} The tile coord.\n */\nexport function fromKey(key) {\n    return key.split('/').map(Number);\n}\n/**\n * @param {TileCoord} tileCoord Tile coord.\n * @return {number} Hash.\n */\nexport function hash(tileCoord) {\n    return (tileCoord[1] << tileCoord[0]) + tileCoord[2];\n}\n/**\n * @param {TileCoord} tileCoord Tile coordinate.\n * @param {!import(\"./tilegrid/TileGrid.js\").default} tileGrid Tile grid.\n * @return {boolean} Tile coordinate is within extent and zoom level range.\n */\nexport function withinExtentAndZ(tileCoord, tileGrid) {\n    var z = tileCoord[0];\n    var x = tileCoord[1];\n    var y = tileCoord[2];\n    if (tileGrid.getMinZoom() > z || z > tileGrid.getMaxZoom()) {\n        return false;\n    }\n    var tileRange = tileGrid.getFullTileRange(z);\n    if (!tileRange) {\n        return true;\n    }\n    else {\n        return tileRange.containsXY(x, y);\n    }\n}\n//# sourceMappingURL=tilecoord.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/TileCache\n */\nimport LRUCache from './structs/LRUCache.js';\nimport { fromKey, getKey } from './tilecoord.js';\nvar TileCache = /** @class */ (function (_super) {\n    __extends(TileCache, _super);\n    function TileCache() {\n        return _super !== null && _super.apply(this, arguments) || this;\n    }\n    /**\n     * @param {!Object<string, boolean>} usedTiles Used tiles.\n     */\n    TileCache.prototype.expireCache = function (usedTiles) {\n        while (this.canExpireCache()) {\n            var tile = this.peekLast();\n            if (tile.getKey() in usedTiles) {\n                break;\n            }\n            else {\n                this.pop().release();\n            }\n        }\n    };\n    /**\n     * Prune all tiles from the cache that don't have the same z as the newest tile.\n     */\n    TileCache.prototype.pruneExceptNewestZ = function () {\n        if (this.getCount() === 0) {\n            return;\n        }\n        var key = this.peekFirstKey();\n        var tileCoord = fromKey(key);\n        var z = tileCoord[0];\n        this.forEach(function (tile) {\n            if (tile.tileCoord[0] !== z) {\n                this.remove(getKey(tile.tileCoord));\n                tile.release();\n            }\n        }.bind(this));\n    };\n    return TileCache;\n}(LRUCache));\nexport default TileCache;\n//# sourceMappingURL=TileCache.js.map","/**\n * @module ol/TileRange\n */\n/**\n * A representation of a contiguous block of tiles.  A tile range is specified\n * by its min/max tile coordinates and is inclusive of coordinates.\n */\nvar TileRange = /** @class */ (function () {\n    /**\n     * @param {number} minX Minimum X.\n     * @param {number} maxX Maximum X.\n     * @param {number} minY Minimum Y.\n     * @param {number} maxY Maximum Y.\n     */\n    function TileRange(minX, maxX, minY, maxY) {\n        /**\n         * @type {number}\n         */\n        this.minX = minX;\n        /**\n         * @type {number}\n         */\n        this.maxX = maxX;\n        /**\n         * @type {number}\n         */\n        this.minY = minY;\n        /**\n         * @type {number}\n         */\n        this.maxY = maxY;\n    }\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @return {boolean} Contains tile coordinate.\n     */\n    TileRange.prototype.contains = function (tileCoord) {\n        return this.containsXY(tileCoord[1], tileCoord[2]);\n    };\n    /**\n     * @param {TileRange} tileRange Tile range.\n     * @return {boolean} Contains.\n     */\n    TileRange.prototype.containsTileRange = function (tileRange) {\n        return (this.minX <= tileRange.minX &&\n            tileRange.maxX <= this.maxX &&\n            this.minY <= tileRange.minY &&\n            tileRange.maxY <= this.maxY);\n    };\n    /**\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @return {boolean} Contains coordinate.\n     */\n    TileRange.prototype.containsXY = function (x, y) {\n        return this.minX <= x && x <= this.maxX && this.minY <= y && y <= this.maxY;\n    };\n    /**\n     * @param {TileRange} tileRange Tile range.\n     * @return {boolean} Equals.\n     */\n    TileRange.prototype.equals = function (tileRange) {\n        return (this.minX == tileRange.minX &&\n            this.minY == tileRange.minY &&\n            this.maxX == tileRange.maxX &&\n            this.maxY == tileRange.maxY);\n    };\n    /**\n     * @param {TileRange} tileRange Tile range.\n     */\n    TileRange.prototype.extend = function (tileRange) {\n        if (tileRange.minX < this.minX) {\n            this.minX = tileRange.minX;\n        }\n        if (tileRange.maxX > this.maxX) {\n            this.maxX = tileRange.maxX;\n        }\n        if (tileRange.minY < this.minY) {\n            this.minY = tileRange.minY;\n        }\n        if (tileRange.maxY > this.maxY) {\n            this.maxY = tileRange.maxY;\n        }\n    };\n    /**\n     * @return {number} Height.\n     */\n    TileRange.prototype.getHeight = function () {\n        return this.maxY - this.minY + 1;\n    };\n    /**\n     * @return {import(\"./size.js\").Size} Size.\n     */\n    TileRange.prototype.getSize = function () {\n        return [this.getWidth(), this.getHeight()];\n    };\n    /**\n     * @return {number} Width.\n     */\n    TileRange.prototype.getWidth = function () {\n        return this.maxX - this.minX + 1;\n    };\n    /**\n     * @param {TileRange} tileRange Tile range.\n     * @return {boolean} Intersects.\n     */\n    TileRange.prototype.intersects = function (tileRange) {\n        return (this.minX <= tileRange.maxX &&\n            this.maxX >= tileRange.minX &&\n            this.minY <= tileRange.maxY &&\n            this.maxY >= tileRange.minY);\n    };\n    return TileRange;\n}());\n/**\n * @param {number} minX Minimum X.\n * @param {number} maxX Maximum X.\n * @param {number} minY Minimum Y.\n * @param {number} maxY Maximum Y.\n * @param {TileRange} [tileRange] TileRange.\n * @return {TileRange} Tile range.\n */\nexport function createOrUpdate(minX, maxX, minY, maxY, tileRange) {\n    if (tileRange !== undefined) {\n        tileRange.minX = minX;\n        tileRange.maxX = maxX;\n        tileRange.minY = minY;\n        tileRange.maxY = maxY;\n        return tileRange;\n    }\n    else {\n        return new TileRange(minX, maxX, minY, maxY);\n    }\n}\nexport default TileRange;\n//# sourceMappingURL=TileRange.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/VectorRenderTile\n */\nimport Tile from './Tile.js';\nimport { createCanvasContext2D } from './dom.js';\nimport { getUid } from './util.js';\n/**\n * @typedef {Object} ReplayState\n * @property {boolean} dirty Dirty.\n * @property {null|import(\"./render.js\").OrderFunction} renderedRenderOrder RenderedRenderOrder.\n * @property {number} renderedTileRevision RenderedTileRevision.\n * @property {number} renderedResolution RenderedResolution.\n * @property {number} renderedRevision RenderedRevision.\n * @property {number} renderedTileResolution RenderedTileResolution.\n * @property {number} renderedTileZ RenderedTileZ.\n */\n/**\n * @type {Array<HTMLCanvasElement>}\n */\nvar canvasPool = [];\nvar VectorRenderTile = /** @class */ (function (_super) {\n    __extends(VectorRenderTile, _super);\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"./TileState.js\").default} state State.\n     * @param {import(\"./tilecoord.js\").TileCoord} urlTileCoord Wrapped tile coordinate for source urls.\n     * @param {function(VectorRenderTile):Array<import(\"./VectorTile\").default>} getSourceTiles Function\n     * to get source tiles for this tile.\n     */\n    function VectorRenderTile(tileCoord, state, urlTileCoord, getSourceTiles) {\n        var _this = _super.call(this, tileCoord, state, { transition: 0 }) || this;\n        /**\n         * @private\n         * @type {!Object<string, CanvasRenderingContext2D>}\n         */\n        _this.context_ = {};\n        /**\n         * Executor groups by layer uid. Entries are read/written by the renderer.\n         * @type {Object<string, Array<import(\"./render/canvas/ExecutorGroup.js\").default>>}\n         */\n        _this.executorGroups = {};\n        /**\n         * Executor groups for decluttering, by layer uid. Entries are read/written by the renderer.\n         * @type {Object<string, Array<import(\"./render/canvas/ExecutorGroup.js\").default>>}\n         */\n        _this.declutterExecutorGroups = {};\n        /**\n         * Number of loading source tiles. Read/written by the source.\n         * @type {number}\n         */\n        _this.loadingSourceTiles = 0;\n        /**\n         * @type {Object<number, ImageData>}\n         */\n        _this.hitDetectionImageData = {};\n        /**\n         * @private\n         * @type {!Object<string, ReplayState>}\n         */\n        _this.replayState_ = {};\n        /**\n         * @type {Array<import(\"./VectorTile.js\").default>}\n         */\n        _this.sourceTiles = [];\n        /**\n         * @type {Object<string, boolean>}\n         */\n        _this.errorTileKeys = {};\n        /**\n         * @type {number}\n         */\n        _this.wantedResolution;\n        /**\n         * @type {!function():Array<import(\"./VectorTile.js\").default>}\n         */\n        _this.getSourceTiles = getSourceTiles.bind(undefined, _this);\n        /**\n         * @type {import(\"./tilecoord.js\").TileCoord}\n         */\n        _this.wrappedTileCoord = urlTileCoord;\n        return _this;\n    }\n    /**\n     * @param {import(\"./layer/Layer.js\").default} layer Layer.\n     * @return {CanvasRenderingContext2D} The rendering context.\n     */\n    VectorRenderTile.prototype.getContext = function (layer) {\n        var key = getUid(layer);\n        if (!(key in this.context_)) {\n            this.context_[key] = createCanvasContext2D(1, 1, canvasPool);\n        }\n        return this.context_[key];\n    };\n    /**\n     * @param {import(\"./layer/Layer.js\").default} layer Layer.\n     * @return {boolean} Tile has a rendering context for the given layer.\n     */\n    VectorRenderTile.prototype.hasContext = function (layer) {\n        return getUid(layer) in this.context_;\n    };\n    /**\n     * Get the Canvas for this tile.\n     * @param {import(\"./layer/Layer.js\").default} layer Layer.\n     * @return {HTMLCanvasElement} Canvas.\n     */\n    VectorRenderTile.prototype.getImage = function (layer) {\n        return this.hasContext(layer) ? this.getContext(layer).canvas : null;\n    };\n    /**\n     * @param {import(\"./layer/Layer.js\").default} layer Layer.\n     * @return {ReplayState} The replay state.\n     */\n    VectorRenderTile.prototype.getReplayState = function (layer) {\n        var key = getUid(layer);\n        if (!(key in this.replayState_)) {\n            this.replayState_[key] = {\n                dirty: false,\n                renderedRenderOrder: null,\n                renderedResolution: NaN,\n                renderedRevision: -1,\n                renderedTileResolution: NaN,\n                renderedTileRevision: -1,\n                renderedTileZ: -1,\n            };\n        }\n        return this.replayState_[key];\n    };\n    /**\n     * Load the tile.\n     */\n    VectorRenderTile.prototype.load = function () {\n        this.getSourceTiles();\n    };\n    /**\n     * Remove from the cache due to expiry\n     */\n    VectorRenderTile.prototype.release = function () {\n        for (var key in this.context_) {\n            canvasPool.push(this.context_[key].canvas);\n            delete this.context_[key];\n        }\n        _super.prototype.release.call(this);\n    };\n    return VectorRenderTile;\n}(Tile));\nexport default VectorRenderTile;\n//# sourceMappingURL=VectorRenderTile.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/VectorTile\n */\nimport Tile from './Tile.js';\nimport TileState from './TileState.js';\nvar VectorTile = /** @class */ (function (_super) {\n    __extends(VectorTile, _super);\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"./TileState.js\").default} state State.\n     * @param {string} src Data source url.\n     * @param {import(\"./format/Feature.js\").default} format Feature format.\n     * @param {import(\"./Tile.js\").LoadFunction} tileLoadFunction Tile load function.\n     * @param {import(\"./Tile.js\").Options} [opt_options] Tile options.\n     */\n    function VectorTile(tileCoord, state, src, format, tileLoadFunction, opt_options) {\n        var _this = _super.call(this, tileCoord, state, opt_options) || this;\n        /**\n         * Extent of this tile; set by the source.\n         * @type {import(\"./extent.js\").Extent}\n         */\n        _this.extent = null;\n        /**\n         * @private\n         * @type {import(\"./format/Feature.js\").default}\n         */\n        _this.format_ = format;\n        /**\n         * @private\n         * @type {Array<import(\"./Feature.js\").default>}\n         */\n        _this.features_ = null;\n        /**\n         * @private\n         * @type {import(\"./featureloader.js\").FeatureLoader}\n         */\n        _this.loader_;\n        /**\n         * Feature projection of this tile; set by the source.\n         * @type {import(\"./proj/Projection.js\").default}\n         */\n        _this.projection = null;\n        /**\n         * Resolution of this tile; set by the source.\n         * @type {number}\n         */\n        _this.resolution;\n        /**\n         * @private\n         * @type {import(\"./Tile.js\").LoadFunction}\n         */\n        _this.tileLoadFunction_ = tileLoadFunction;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.url_ = src;\n        _this.key = src;\n        return _this;\n    }\n    /**\n     * Get the feature format assigned for reading this tile's features.\n     * @return {import(\"./format/Feature.js\").default} Feature format.\n     * @api\n     */\n    VectorTile.prototype.getFormat = function () {\n        return this.format_;\n    };\n    /**\n     * Get the features for this tile. Geometries will be in the view projection.\n     * @return {Array<import(\"./Feature.js\").FeatureLike>} Features.\n     * @api\n     */\n    VectorTile.prototype.getFeatures = function () {\n        return this.features_;\n    };\n    /**\n     * Load not yet loaded URI.\n     */\n    VectorTile.prototype.load = function () {\n        if (this.state == TileState.IDLE) {\n            this.setState(TileState.LOADING);\n            this.tileLoadFunction_(this, this.url_);\n            if (this.loader_) {\n                this.loader_(this.extent, this.resolution, this.projection);\n            }\n        }\n    };\n    /**\n     * Handler for successful tile load.\n     * @param {Array<import(\"./Feature.js\").default>} features The loaded features.\n     * @param {import(\"./proj/Projection.js\").default} dataProjection Data projection.\n     */\n    VectorTile.prototype.onLoad = function (features, dataProjection) {\n        this.setFeatures(features);\n    };\n    /**\n     * Handler for tile load errors.\n     */\n    VectorTile.prototype.onError = function () {\n        this.setState(TileState.ERROR);\n    };\n    /**\n     * Function for use in an {@link module:ol/source/VectorTile~VectorTile}'s `tileLoadFunction`.\n     * Sets the features for the tile.\n     * @param {Array<import(\"./Feature.js\").default>} features Features.\n     * @api\n     */\n    VectorTile.prototype.setFeatures = function (features) {\n        this.features_ = features;\n        this.setState(TileState.LOADED);\n    };\n    /**\n     * Set the feature loader for reading this tile's features.\n     * @param {import(\"./featureloader.js\").FeatureLoader} loader Feature loader.\n     * @api\n     */\n    VectorTile.prototype.setLoader = function (loader) {\n        this.loader_ = loader;\n    };\n    return VectorTile;\n}(Tile));\nexport default VectorTile;\n//# sourceMappingURL=VectorTile.js.map","'use strict';\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n/* eslint-disable @typescript-eslint/strict-boolean-expressions */\nfunction parse(string, encoding, opts) {\n  var _opts$out;\n\n  if (opts === void 0) {\n    opts = {};\n  }\n\n  // Build the character lookup table:\n  if (!encoding.codes) {\n    encoding.codes = {};\n\n    for (var i = 0; i < encoding.chars.length; ++i) {\n      encoding.codes[encoding.chars[i]] = i;\n    }\n  } // The string must have a whole number of bytes:\n\n\n  if (!opts.loose && string.length * encoding.bits & 7) {\n    throw new SyntaxError('Invalid padding');\n  } // Count the padding bytes:\n\n\n  var end = string.length;\n\n  while (string[end - 1] === '=') {\n    --end; // If we get a whole number of bytes, there is too much padding:\n\n    if (!opts.loose && !((string.length - end) * encoding.bits & 7)) {\n      throw new SyntaxError('Invalid padding');\n    }\n  } // Allocate the output:\n\n\n  var out = new ((_opts$out = opts.out) != null ? _opts$out : Uint8Array)(end * encoding.bits / 8 | 0); // Parse the data:\n\n  var bits = 0; // Number of bits currently in the buffer\n\n  var buffer = 0; // Bits waiting to be written out, MSB first\n\n  var written = 0; // Next byte to write\n\n  for (var _i = 0; _i < end; ++_i) {\n    // Read one character from the string:\n    var value = encoding.codes[string[_i]];\n\n    if (value === undefined) {\n      throw new SyntaxError('Invalid character ' + string[_i]);\n    } // Append the bits to the buffer:\n\n\n    buffer = buffer << encoding.bits | value;\n    bits += encoding.bits; // Write out some bits if the buffer has a byte's worth:\n\n    if (bits >= 8) {\n      bits -= 8;\n      out[written++] = 0xff & buffer >> bits;\n    }\n  } // Verify that we have received just enough bits:\n\n\n  if (bits >= encoding.bits || 0xff & buffer << 8 - bits) {\n    throw new SyntaxError('Unexpected end of data');\n  }\n\n  return out;\n}\nfunction stringify(data, encoding, opts) {\n  if (opts === void 0) {\n    opts = {};\n  }\n\n  var _opts = opts,\n      _opts$pad = _opts.pad,\n      pad = _opts$pad === void 0 ? true : _opts$pad;\n  var mask = (1 << encoding.bits) - 1;\n  var out = '';\n  var bits = 0; // Number of bits currently in the buffer\n\n  var buffer = 0; // Bits waiting to be written out, MSB first\n\n  for (var i = 0; i < data.length; ++i) {\n    // Slurp data into the buffer:\n    buffer = buffer << 8 | 0xff & data[i];\n    bits += 8; // Write out as much as we can:\n\n    while (bits > encoding.bits) {\n      bits -= encoding.bits;\n      out += encoding.chars[mask & buffer >> bits];\n    }\n  } // Partial character:\n\n\n  if (bits) {\n    out += encoding.chars[mask & buffer << encoding.bits - bits];\n  } // Add padding characters until we hit a byte boundary:\n\n\n  if (pad) {\n    while (out.length * encoding.bits & 7) {\n      out += '=';\n    }\n  }\n\n  return out;\n}\n\n/* eslint-disable @typescript-eslint/strict-boolean-expressions */\nvar base16Encoding = {\n  chars: '0123456789ABCDEF',\n  bits: 4\n};\nvar base32Encoding = {\n  chars: 'ABCDEFGHIJKLMNOPQRSTUVWXYZ234567',\n  bits: 5\n};\nvar base32HexEncoding = {\n  chars: '0123456789ABCDEFGHIJKLMNOPQRSTUV',\n  bits: 5\n};\nvar base64Encoding = {\n  chars: 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/',\n  bits: 6\n};\nvar base64UrlEncoding = {\n  chars: 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_',\n  bits: 6\n};\nvar base16 = {\n  parse: function parse$1(string, opts) {\n    return parse(string.toUpperCase(), base16Encoding, opts);\n  },\n  stringify: function stringify$1(data, opts) {\n    return stringify(data, base16Encoding, opts);\n  }\n};\nvar base32 = {\n  parse: function parse$1(string, opts) {\n    if (opts === void 0) {\n      opts = {};\n    }\n\n    return parse(opts.loose ? string.toUpperCase().replace(/0/g, 'O').replace(/1/g, 'L').replace(/8/g, 'B') : string, base32Encoding, opts);\n  },\n  stringify: function stringify$1(data, opts) {\n    return stringify(data, base32Encoding, opts);\n  }\n};\nvar base32hex = {\n  parse: function parse$1(string, opts) {\n    return parse(string, base32HexEncoding, opts);\n  },\n  stringify: function stringify$1(data, opts) {\n    return stringify(data, base32HexEncoding, opts);\n  }\n};\nvar base64 = {\n  parse: function parse$1(string, opts) {\n    return parse(string, base64Encoding, opts);\n  },\n  stringify: function stringify$1(data, opts) {\n    return stringify(data, base64Encoding, opts);\n  }\n};\nvar base64url = {\n  parse: function parse$1(string, opts) {\n    return parse(string, base64UrlEncoding, opts);\n  },\n  stringify: function stringify$1(data, opts) {\n    return stringify(data, base64UrlEncoding, opts);\n  }\n};\nvar codec = {\n  parse: parse,\n  stringify: stringify\n};\n\nexports.base16 = base16;\nexports.base32 = base32;\nexports.base32hex = base32hex;\nexports.base64 = base64;\nexports.base64url = base64url;\nexports.codec = codec;\n","// Generated by rollup-plugin-mjs-entry\n\nimport cjs from './index.js';\n\nexport const base16 = cjs.base16;\nexport const base32 = cjs.base32;\nexport const base32hex = cjs.base32hex;\nexport const base64 = cjs.base64;\nexport const base64url = cjs.base64url;\nexport const codec = cjs.codec;\nexport default cjs;\n","import { base64 } from 'rfc4648';\n\n/* eslint-disable */\nvar data = \"BVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBW4FbgVuBW4FbgVuBW4FbgVtBW0FbQVtBW0FbQVtBW0FbQVsBWwFbAVsBWwFbAVsBWwFbAVrBWsFawVrBWsFawVrBWsFagVqBWoFagVqBWoFagVqBWkFaQVpBWkFaQVpBWkFaQVpBWgFaAVoBWgFaAVoBWgFaAVnBWcFZwVnBWcFZwVnBWYFZgVmBWYFZgVmBWYFZQVlBWUFZQVlBWUFZQVlBWQFZAVkBWQFZAVkBWQFZAVjBWMFYwVjBWMFYwViBWIFYgViBWIFYgViBWIFYQVhBWEFYQVhBWEFYQVhBWAFYAVgBWAFYAVgBWAFXwVfBV8FXwVfBV8FXwVeBV4FXgVeBV4FXgVeBV0FXQVdBV0FXQVdBV0FXQVcBVwFXAVcBVwFXAVcBVwFWwVbBVsFWwVbBVsFWwVaBVoFWgVaBVoFWgVaBVoFWQVZBVkFWQVZBVkFWQVZBVgFWAVYBVgFWAVYBVgFWAVXBVcFVwVXBVcFVwVXBVYFVgVWBVYFVgVWBVYFVgVWBVUFVQVVBVUFVQVVBVUFVQVVBVQFVAVUBVQFVAVUBVQFVAVUBVMFUwVTBVMFUwVTBVMFUwVTBVIFUgVSBVIFUgVSBVIFUgVRBVEFUQVRBVEFUQVRBVEFUQVRBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVPBU8FTwVPBU8FTwVPBU8FTwVPBU8FTgVOBU4FTgVOBU4FTgVOBU4FTgVNBU0FTQVNBU0FTQVNBU0FTQVNBU0FTAVMBUwFTAVMBUwFTAVMBUwFTAVMBUwFTAVMBUsFSwVLBUsFSwVLBUsFSwVLBUsFSwVLBUsFSgVKBUoFSgVKBUoFSgVKBUoFSgVKBUoFSQVJBUkFSQVJBUkFSQVJBUkFSQVJBUkFSQVJBUkFSAVIBUgFSAVIBUgFSAVIBUgFSAVIBUgFSAVIBUgFSAVIBUcFRwVHBUcFRwVHBUcFRwVHBUcFRwVHBUcFRwVHBUcFRwVGBUYFRgVGBUYFRgVGBUYFRgVGBUYFRgVGBUYFRgVGBUUFRQVFBUUFRQVFBUUFRQVFBUUFRQVFBUUFRQVFBUUFRQVFBUUFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVFBUUFRQVFBUUFRQVFBUUFRQVFBUYFRgVGBUYFRgVGBUYFRgVGBUcFRwVHBUcFRwVHBUcFRwVHBUgFSAVIBUgFSAVIBUgFSAVIBUgFSQVJBUkFSQVJBUkFSQVJBUkFSgVKBUoFSgVKBUoFSgVLBUsFSwVLBUsFSwVLBUsFTAVMBUwFTAVMBUwFTAVMBU0FTQVNBU0FTQVNBU0FTQVOBU4FTgVOBU4FTgVPBU8FTwVPBU8FTwVPBVAFUAVQBVAFUAVQBVAFUAVRBVEFUQVRBVEFUQVRBVIFUgVSBVIFUgVSBVMFUwVTBVMFUwVTBVMFVAVUBVQFVAVUBVQFVAVVBVUFVQVVBVUFVQVVBVYFVgVWBVYFVgVWBVYFVwVXBVcFVwVXBVcFWAVYBVgFWAVYBVgFWAVZBVkFWQVZBVkFWQVZBVoFWgVaBVoFWgVaBVoFWwVbBVsFWwVbBVsFWwVcBVwFXAVcBVwFXAVcBV0FXQVdBV0FXQVdBV0FXgVeBV4FXgVeBV4FXgVfBV8FXwVfBV8FXwVfBWAFYAVgBWAFYAVgBWAFYAVhBWEFYQVhBWEFYQVhBWEFYgViBWIFYgViBWIFYgViBWMFYwVjBWMFYwVjBWMFZAVkBWQFZAVkBWQFZAVkBWUFZQVlBWUFZQVlBWUFZQVlBWYFZgVmBWYFZgVmBWYFZgVmBWcFZwVnBWcFZwVnBWcFZwVnBWgFaAVoBWgFaAVoBWgFaAVoBWkFaQVpBWkFaQVpBWkFaQVpBWkFaQVqBWoFagVqBWoFagVqBWoFagVqBWoFawVrBWsFawVrBWsFawVrBWsFawVsBWwFbAVsBWwFbAVsBWwFbAVsBWwFbAVtBW0FbQVtBW0FbQVtBW0FbQVtBW0FbQVtBW4FbgVuBW4FbgVuBW4FbgVuBW4FbgVuBW4FbgVuBW8FbwVvBW8FbwVvBW8FbwVvBW8FbwVvBW8FbwVvBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVxBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVxBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVwBXAFcAVwBXAFcAVwBXAFcAVwBW8FbwVvBW8FbwVvBW8FbwVvBW8FbgVuBaIFogWiBaIFoQWhBaEFoQWhBaAFoAWgBaAFnwWfBZ8FnwWeBZ4FngWeBZ0FnQWdBZ0FnAWcBZwFnAWbBZsFmwWbBZoFmgWaBZoFmQWZBZkFmAWYBZgFlwWXBZcFlwWWBZYFlgWWBZUFlQWVBZQFlAWUBZMFkwWTBZMFkgWSBZIFkQWRBZEFkAWQBZAFjwWPBY8FjgWOBY4FjgWNBY0FjAWMBYwFjAWLBYsFiwWKBYoFigWJBYkFiQWIBYgFiAWHBYcFhwWGBYYFhgWFBYUFhQWFBYQFhAWDBYMFgwWDBYIFggWCBYEFgQWBBYAFgAWABX8FfwV/BX4FfgV+BX4FfQV9BX0FfAV8BXwFewV7BXsFegV6BXoFeQV5BXkFeQV4BXgFeAV3BXcFdwV2BXYFdgV2BXUFdQV1BXQFdAV0BXMFcwVzBXMFcgVyBXIFcgVxBXEFcQVwBXAFcAVwBW8FbwVvBW4FbgVuBW4FbQVtBW0FbQVsBWwFbAVsBWsFawVrBWsFagVqBWoFagVpBWkFaQVpBWgFaAVoBWgFZwVnBWcFZwVmBWYFZgVmBWUFZQVlBWUFZQVkBWQFZAVkBWQFYwVjBWMFYwViBWIFYgViBWEFYQVhBWEFYQVhBWAFYAVgBWAFYAVfBV8FXwVfBV4FXgVeBV4FXgVdBV0FXQVdBV0FXQVcBVwFXAVcBVwFWwVbBVsFWwVbBVoFWgVaBVoFWgVaBVkFWQVZBVkFWQVZBVgFWAVYBVgFWAVYBVcFVwVXBVcFVwVWBVYFVgVWBVYFVgVVBVUFVQVVBVUFVQVVBVQFVAVUBVQFVAVUBVMFUwVTBVMFUwVTBVMFUgVSBVIFUgVSBVIFUQVRBVEFUQVRBVEFUQVQBVAFUAVQBVAFUAVQBU8FTwVPBU8FTwVPBU8FTgVOBU4FTgVOBU4FTgVNBU0FTQVNBU0FTQVNBUwFTAVMBUwFTAVMBUwFTAVLBUsFSwVLBUsFSwVLBUoFSgVKBUoFSgVKBUoFSQVJBUkFSQVJBUkFSQVJBUgFSAVIBUgFSAVIBUgFSAVIBUcFRwVHBUcFRwVHBUcFRwVGBUYFRgVGBUYFRgVGBUUFRQVFBUUFRQVFBUUFRQVEBUQFRAVEBUQFRAVEBUQFRAVDBUMFQwVDBUMFQwVDBUMFQwVCBUIFQgVCBUIFQgVCBUEFQQVBBUEFQQVBBUEFQQVBBUAFQAVABUAFQAVABUAFQAVABT8FPwU/BT8FPwU/BT8FPwU/BT4FPgU+BT4FPgU+BT4FPgU9BT0FPQU9BT0FPQU9BT0FPAU8BTwFPAU8BTwFPAU8BTwFOwU7BTsFOwU7BTsFOwU7BTsFOgU6BToFOgU6BToFOgU6BTkFOQU5BTkFOQU5BTkFOQU4BTgFOAU4BTgFOAU4BTgFNwU3BTcFNwU3BTcFNwU3BTcFNwU2BTYFNgU2BTYFNgU2BTYFNQU1BTUFNQU1BTUFNQU1BTQFNAU0BTQFNAU0BTQFNAU0BTMFMwUzBTMFMwUzBTMFMwUzBTMFMwUyBTIFMgUyBTIFMgUyBTIFMgUyBTEFMQUxBTEFMQUxBTEFMQUxBTEFMQUwBTAFMAUwBTAFMAUwBTAFMAUwBTAFMAUwBTAFLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FMAUwBTAFMAUwBTAFMAUwBTAFMAUwBTAFMQUxBTEFMQUxBTEFMQUyBTIFMgUyBTIFMgUyBTIFMwUzBTMFMwUzBTMFMwU0BTQFNAU0BTQFNAU1BTUFNQU1BTYFNgU2BTYFNgU3BTcFNwU3BTcFOAU4BTgFOAU4BTkFOQU5BTkFOgU6BToFOgU7BTsFOwU7BTwFPAU8BTwFPQU9BT0FPgU+BT4FPwU/BT8FPwVABUAFQAVABUEFQQVBBUIFQgVCBUMFQwVDBUQFRAVEBUUFRQVFBUYFRgVGBUcFRwVHBUgFSAVIBUkFSQVJBUoFSgVKBUsFSwVMBUwFTAVNBU0FTQVOBU4FTgVPBU8FUAVQBVAFUQVRBVEFUgVSBVMFUwVTBVQFVAVUBVUFVQVWBVYFVgVXBVcFWAVYBVgFWQVZBVkFWgVaBVsFWwVcBVwFXAVdBV0FXQVeBV4FXwVfBV8FYAVgBWEFYQVhBWIFYgVjBWMFYwVkBWQFZQVlBWUFZgVmBWcFZwVnBWgFaAVpBWkFaQVqBWoFagVrBWsFbAVsBW0FbQVtBW4FbgVuBW8FbwVvBXAFcAVxBXEFcQVyBXIFcwVzBXMFdAV0BXQFdQV1BXYFdgV2BXcFdwV3BXgFeAV4BXkFeQV6BXoFegV6BXsFewV7BXwFfAV9BX0FfQV+BX4FfgV/BX8FfwWABYAFgAWBBYEFgQWCBYIFggWCBYMFgwWDBYQFhAWEBYUFhQWFBYUFhgWGBYYFhwWHBYcFhwWIBYgFiAWIBYkFiQWJBYoFigWKBYoFiwWLBYsFiwWMBYwFjAWMBY0FjQWNBY0FjgWOBY4FjgWPBY8FjwWPBY8FkAWQBZAFkAWQBZEFkQWRBZEFkgWSBZIFkgWSBZIFkwWTBZMFkwWTBZQFlAWUBZQFlAWUBZUFlQWVBZUFlQWVBZYFlgWWBZYFlgWWBZcFlwWXBZcFlwWXBZcFmAWYBZgFmAWYBZgFmAWYBZkFmQWZBZkFmQWZBZkFmgWaBZoFmgWaBZoFmgWaBZoFmwWbBZsFmwWbBZsFmwWbBZsFmwWcBZwFnAWcBZwFnAWcBZwFnAWcBZwFnQWdBZ0FnQWdBZ0FnQWdBZ0FnQWdBZ4FngWeBZ4FngWeBZ4FngWeBZ4FngWeBZ4FngWfBZ8FnwWfBZ8FnwWfBZ8FnwWfBZ8FnwWfBZ8FnwWfBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoQWhBaEFoQWhBaEFoQWhBaEFoQWhBaEFoQWhBaEFoQWhBaEFoQWiBaIFogWiBaIFogWiBaIFogWiBaIFogWiBaIFogWiBaIFowWjBaMFowWjBaMFowWjBaMFowWjBaMFowWjBaMFowWjBaMFpAWkBaQFpAWkBaQFpAWkBaQFpAWkBaQFpAWkBaQFpAWkBaQFpAWlBaUFpQWlBaUFpQWlBaUFpQWlBaUFpQWlBaUFpQWlBaYFpgWmBaYFpgWmBaYFpgWmBaYFpgWmBaYFpwWnBacFpwWnBacFpwWnBacFpwWnBacFpwWnBacFqAWoBagFqAWoBagFqAWoBagFqAWoBagFqAWoBagFqAWpBakFqQWpBakFqQWpBakFqQWpBakFqQWpBakFqQWqBaoFqgWqBaoFqgWqBaoFqgWqBaoFqgWqBaoFqgWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqgWqBaoFqgWqBaoFqgWqBaoFqgWpBakFqQWpBakFqQWpBakFqQWoBagFqAWoBagFqAWoBagFpwWnBacFpwWnBacFpwWmBaYFpgWmBaYFpQWlBaUFpQWlBaUFpAWkBaQFpAWkBaQFowWjBaMFowWjBdoF2gXZBdkF2QXZBdkF2AXYBdgF1wXXBdcF1wXWBdYF1gXWBdUF1QXVBdQF1AXUBdMF0wXTBdIF0gXSBdEF0QXRBdAF0AXQBc8FzwXPBc4FzgXOBc0FzQXNBcwFzAXLBcsFywXKBcoFyQXJBckFyAXIBccFxwXHBcYFxgXFBcUFxQXEBcQFwwXDBcIFwgXCBcEFwQXABcAFwAW/Bb8FvgW+Bb0FvQW9BbwFvAW7BbsFugW6BbkFuQW5BbgFuAW3BbcFtgW2BbUFtQW1BbQFtAWzBbMFsgWyBbEFsQWxBbAFsAWvBa8FrgWuBa0FrQWtBawFrAWrBasFqwWqBaoFqQWpBagFqAWoBacFpwWmBaYFpQWlBaQFpAWkBaMFowWiBaIFogWhBaEFoAWgBaAFnwWfBZ4FngWdBZ0FnQWcBZwFmwWbBZsFmgWaBZkFmQWZBZgFmAWXBZcFlwWWBZYFlgWVBZUFlAWUBZQFkwWTBZIFkgWSBZEFkQWQBZAFkAWPBY8FjwWOBY4FjgWNBY0FjAWMBYwFiwWLBYsFigWKBYkFiQWJBYgFiAWHBYcFhwWGBYYFhgWFBYUFhQWEBYQFgwWDBYMFggWCBYIFgQWBBYAFgAWABX8FfwV+BX4FfgV9BX0FfQV8BXwFewV7BXsFegV6BXkFeQV5BXgFeAV3BXcFdwV2BXYFdgV1BXUFdAV0BXMFcwVzBXIFcgVyBXEFcQVwBXAFbwVvBW8FbgVuBW4FbQVtBWwFbAVrBWsFawVqBWoFaQVpBWkFaAVoBWcFZwVmBWYFZgVlBWUFZAVkBWMFYwVjBWIFYgVhBWEFYQVgBWAFXwVfBV4FXgVdBV0FXQVcBVwFWwVbBVoFWgVaBVkFWQVYBVgFWAVXBVcFVgVWBVUFVQVVBVQFVAVTBVMFUgVSBVEFUQVRBVAFUAVPBU8FTwVOBU4FTQVNBUwFTAVMBUsFSwVLBUoFSgVJBUkFSAVIBUgFRwVHBUcFRgVGBUUFRQVEBUQFRAVDBUMFQwVCBUIFQQVBBUEFQAVABUAFPwU/BT8FPgU+BT0FPQU9BTwFPAU8BTwFOwU7BTsFOgU6BToFOQU5BTkFOAU4BTgFNwU3BTcFNwU2BTYFNgU1BTUFNQU1BTQFNAU0BTQFMwUzBTMFMwUyBTIFMgUyBTIFMQUxBTEFMQUwBTAFMAUwBTAFMAUvBS8FLwUvBS8FLwUvBS4FLgUuBS4FLgUuBS4FLQUtBS0FLQUtBS0FLQUtBSwFLAUsBSwFLAUsBSwFLAUsBSwFLAUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUpBSkFKQUpBSkFKQUpBSkFKQUpBSkFKQUpBSkFKQUoBSgFKAUoBSgFKAUoBSgFKAUoBSgFJwUnBScFJwUnBScFJwUnBScFJgUmBSYFJgUmBSYFJgUmBSUFJQUlBSUFJQUlBSQFJAUkBSQFJAUkBSMFIwUjBSMFIwUjBSMFIgUiBSIFIgUiBSEFIQUhBSEFIQUhBSAFIAUgBSAFIAUfBR8FHwUfBR8FHwUeBR4FHgUeBR4FHgUdBR0FHQUdBR0FHQUdBRwFHAUcBRwFHAUcBRsFGwUbBRsFGwUbBRsFGwUaBRoFGgUaBRoFGgUaBRoFGgUaBRoFGgUaBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUaBRoFGgUaBRoFGgUaBRoFGgUaBRoFGgUbBRsFGwUbBRsFGwUbBRwFHAUcBRwFHAUcBR0FHQUdBR0FHQUeBR4FHgUeBR4FHwUfBR8FHwUgBSAFIAUgBSEFIQUhBSEFIgUiBSIFIwUjBSMFIwUkBSQFJAUlBSUFJQUmBSYFJgUnBScFJwUnBSgFKAUpBSkFKQUqBSoFKgUrBSsFKwUsBSwFLQUtBS0FLgUuBS8FLwUvBTAFMAUxBTEFMgUyBTIFMwUzBTQFNAU0BTUFNQU2BTYFNwU3BTgFOAU5BTkFOgU6BTsFOwU7BTwFPAU9BT0FPgU+BT8FPwVABUAFQQVBBUIFQgVDBUMFRAVEBUUFRQVGBUcFRwVIBUgFSQVJBUoFSgVLBUwFTAVNBU0FTgVOBU8FTwVQBVEFUQVSBVIFUwVTBVQFVQVVBVYFVgVXBVgFWAVZBVkFWgVaBVsFXAVcBV0FXgVeBV8FXwVgBWEFYQViBWIFYwVkBWQFZQVlBWYFZwVnBWgFaQVpBWoFagVrBWwFbAVtBW4FbgVvBW8FcAVxBXEFcgVzBXMFdAV1BXUFdgV2BXcFeAV4BXkFegV6BXsFewV8BX0FfQV+BX4FfwWABYAFgQWCBYIFgwWDBYQFhQWFBYYFhgWHBYcFiAWJBYkFigWKBYsFjAWMBY0FjQWOBY8FjwWQBZAFkQWRBZIFkwWTBZQFlAWVBZUFlgWWBZcFlwWYBZkFmQWaBZoFmwWbBZwFnAWdBZ0FngWfBZ8FoAWgBaAFoQWiBaIFowWjBaQFpAWlBaUFpgWmBacFpwWoBagFqAWpBakFqgWrBasFqwWsBawFrQWtBa4FrgWvBa8FsAWwBbAFsQWxBbIFsgWzBbMFtAW0BbQFtQW1BbYFtgW3BbcFuAW4BbgFuQW5BboFugW6BbsFuwW8BbwFvQW9Bb0FvgW+Bb4FvwW/BcAFwAXABcEFwQXCBcIFwgXDBcMFwwXEBcQFxQXFBcUFxgXGBcYFxwXHBccFyAXIBcgFyQXJBckFygXKBcoFywXLBcsFzAXMBcwFzQXNBc0FzQXOBc4FzgXOBc8FzwXPBdAF0AXQBdAF0QXRBdEF0gXSBdIF0gXSBdMF0wXTBdMF1AXUBdQF1AXVBdUF1QXVBdUF1gXWBdYF1gXWBdYF1wXXBdcF1wXXBdgF2AXYBdgF2AXYBdkF2QXZBdkF2QXZBdkF2gXaBdoF2gXaBdoF2gXaBdoF2gXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBd0F3QXdBd0F3QXdBd0F3QXdBd0F3QXeBd4F3gXeBd4F3gXeBd4F3gXeBd4F3gXeBd8F3wXfBd8F3wXfBd8F3wXfBd8F3wXfBd8F3wXfBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBd8F3wXfBd8F3wXfBd8F3wXfBd8F3wXfBd4F3gXeBd4F3gXeBd4F3gXdBd0F3QXdBd0F3QXdBdwF3AXcBdwF3AXbBdsF2wXbBdoF2gXaBgkGCQYJBgkGCQYIBggGCAYIBggGCAYHBgcGBwYHBgcGBgYGBgYGBgYFBgUGBQYFBgQGBAYEBgQGAwYDBgMGAwYCBgIGAgYBBgEGAQYABgAGAAYABf8F/wX/Bf4F/gX+Bf0F/QX9BfwF/AX8BfsF+wX7BfoF+gX5BfkF+QX4BfgF9wX3BfcF9gX2BfYF9QX1BfQF9AX0BfMF8wXyBfIF8gXxBfEF8AXwBe8F7wXvBe4F7gXtBe0F7AXsBesF6wXqBeoF6gXpBekF6AXoBecF5wXmBeYF5QXlBeQF5AXjBeMF4gXiBeIF4QXhBeAF4AXfBd8F3gXeBd0F3QXcBdwF2wXbBdoF2gXZBdkF2AXYBdcF1wXWBdYF1QXVBdQF1AXTBdMF0gXSBdEF0QXQBdAFzwXPBc4FzgXNBc0FzAXMBcsFywXKBcoFyQXJBcgFyAXHBccFxgXGBcUFxQXEBcQFwwXDBcIFwgXBBcEFwAXABb8FvwW+Bb4FvQW9BbwFvAW7BbsFugW6BbkFuQW4BbgFtwW3BbYFtQW1BbQFtAWzBbMFsgWyBbEFsQWwBbAFrwWvBa4FrQWtBawFrAWrBasFqgWpBakFqAWoBacFpgWmBaUFpQWkBaMFowWiBaEFoQWgBaAFnwWeBZ4FnQWcBZwFmwWaBZoFmQWYBZgFlwWWBZYFlQWUBZMFkwWSBZEFkQWQBY8FjwWOBY0FjAWLBYsFigWJBYgFiAWHBYYFhQWFBYQFgwWCBYIFgQWABX8FfgV9BX0FfAV7BXoFeQV5BXgFdwV2BXUFdAVzBXMFcgVxBXAFbwVuBW4FbQVsBWsFagVpBWgFaAVnBWYFZQVkBWMFYgVhBWEFYAVfBV4FXQVcBVsFWgVZBVkFWAVXBVYFVQVUBVMFUgVRBVAFUAVPBU4FTQVMBUsFSgVJBUgFSAVHBUYFRQVEBUMFQgVBBUAFQAU/BT4FPQU8BTsFOgU5BTgFNwU3BTYFNQU0BTMFMgUxBTAFLwUvBS4FLQUsBSsFKgUqBSkFKAUnBSYFJQUkBSQFIwUiBSEFIAUfBR8FHgUdBRwFGwUbBRoFGQUZBRgFFwUWBRYFFQUUBRMFEwUSBREFEQUQBQ8FDwUOBQ4FDQUMBQwFCwULBQoFCgUJBQkFCAUIBQcFBwUGBQYFBQUFBQUFBAUEBQQFAwUDBQMFAgUCBQIFAQUBBQEFAQUBBQEFAQUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQEFAQUBBQEFAQUBBQIFAgUCBQIFAwUDBQMFBAUEBQQFBQUFBQUFBgUGBQcFBwUIBQgFCQUJBQoFCgULBQsFDAUMBQ0FDgUOBQ8FDwUQBREFEQUSBRIFEwUUBRQFFQUWBRYFFwUYBRgFGQUaBRoFGwUcBRwFHQUeBR4FHwUfBSAFIQUhBSIFIwUjBSQFJAUlBSYFJgUnBScFKAUoBSkFKQUqBSoFKwUrBSsFLAUsBS0FLQUtBS4FLgUuBS8FLwUvBS8FMAUwBTAFMAUwBTAFMQUxBTEFMQUxBTEFMQUxBTEFMQUxBTEFMQUxBTEFMQUxBTAFMAUwBTAFMAUvBS8FLwUvBS8FLgUuBS4FLQUtBS0FLAUsBSwFKwUrBSoFKgUqBSkFKQUoBSgFJwUnBSYFJgUmBSUFJAUkBSQFIwUjBSIFIgUhBSEFIAUfBR8FHgUeBR4FHQUdBRwFGwUbBRoFGgUaBRkFGQUYBRgFFwUXBRYFFgUVBRUFFAUUBRQFEwUTBRIFEgUSBREFEQUQBRAFEAUPBQ8FDwUOBQ4FDgUNBQ0FDQUNBQwFDAUMBQsFCwULBQsFCgUKBQoFCgUKBQoFCQUJBQkFCQUJBQkFCAUIBQgFCAUIBQgFCAUIBQgFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQgFCAUIBQgFCAUIBQgFCAUIBQgFCAUIBQgFCAUIBQgFCQUJBQkFCQUJBQkFCQUJBQkFCQUKBQoFCgUKBQoFCgUKBQoFCgULBQsFCwULBQsFCwULBQwFDAUMBQwFDAUNBQ0FDQUNBQ4FDgUOBQ4FDgUPBQ8FDwUPBRAFEAUQBREFEQURBRIFEgUSBRIFEwUTBRMFFAUUBRUFFQUVBRYFFgUXBRcFFwUYBRgFGQUZBRoFGgUbBRsFHAUcBR0FHQUeBR4FHwUfBSAFIQUhBSIFIgUjBSMFJAUlBSUFJgUnBScFKAUoBSkFKgUqBSsFLAUsBS0FLgUvBS8FMAUxBTEFMgUzBTMFNAU1BTYFNwU3BTgFOQU6BToFOwU8BT0FPQU+BT8FQAVABUEFQgVDBUQFRAVFBUYFRwVIBUkFSQVKBUsFTAVNBU0FTgVPBVAFUQVSBVMFUwVUBVUFVgVXBVgFWQVZBVoFWwVcBV0FXgVeBV8FYAVhBWIFYwVkBWUFZQVmBWcFaAVpBWoFawVsBW0FbQVuBW8FcAVxBXIFcwV0BXUFdgV2BXcFeAV5BXoFewV8BX0FfgV/BYAFgQWCBYMFhAWFBYYFhwWIBYgFigWLBYsFjAWOBY8FjwWQBZIFkwWUBZUFlgWXBZgFmQWaBZsFnAWdBZ4FnwWgBaEFogWjBaQFpQWnBagFqQWqBasFrAWtBa4FsAWxBbIFswW0BbUFtgW3BbkFugW7BbwFvQW+BcAFwQXCBcMFxAXFBcYFyAXJBcoFywXMBc0FzwXQBdEF0gXTBdUF1gXXBdgF2QXaBdsF3QXeBd8F4AXhBeIF4wXlBeYF5wXoBekF6gXrBewF7gXvBfAF8QXyBfMF9AX1BfYF9wX4BfoF+wX8Bf0F/gX/BgAGAQYCBgMGBAYFBgYGBwYIBgkGCQYKBgsGDAYNBg4GDwYQBhEGEgYSBhMGFAYVBhYGFwYXBhgGGQYaBhoGGwYcBh0GHQYeBh4GHwYgBiEGIQYiBiIGIwYkBiQGJQYlBiYGJgYnBicGKAYoBikGKQYpBioGKgYrBisGKwYsBiwGLAYtBi0GLQYtBi4GLgYuBi4GLgYvBi8GLwYvBi8GLwYvBi8GMAYwBjAGMAYwBjAGMAYwBjAGLwYvBi8GLwYvBi8GLwYvBi4GLgYuBi4GLgYtBi0GLQYtBiwGLAYsBisGKwYrBioGKgYqBikGKQYpBigGKAYnBicGJgYmBiYGJQYlBiQGJAYjBiMGIgYiBiEGIQYgBiAGHwYfBh4GHgYdBh0GHAYcBhsGGgYaBhkGGQYYBhgGFwYXBhYGFQYVBhQGFAYTBhMGEgYSBhEGEQYQBhAGDwYPBg4GDgYNBg0GDAYMBgwGCwYLBgoGCgYJBgkGCQYIBggGCAYHBgcGBgYGBgYGBQYFBgUGBQYEBgQGBAYEBgMGAwYDBgMGAgYCBgIGAgYCBgIGAQYBBgEGAQYBBgEGAQYBBgEGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABgEGAQYBBgEGAQYBBgEGAQYBBgEGAgYCBgIGAgYCBgIGAgYCBgMGAwYDBgMGAwYDBgQGBAYEBgQGBAYEBgUGBQYFBgUGBQYFBgYGBgYGBgYGBgYHBgcGBwYHBgcGBwYIBggGCAYIBggGCAYJBgkGCQYJBgkGCQYJBgkGCgYKBgoGCgYKBgoGCgYKBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYKBgoGCgYKBgoGCgYKBgoGCQYJBjgGOAY4BjgGOAY3BjcGNwY3BjcGNgY2BjYGNgY2BjYGNQY1BjUGNQY1BjQGNAY0BjQGNAYzBjMGMwYzBjMGMgYyBjIGMgYxBjEGMQYxBjEGMAYwBjAGMAYwBi8GLwYvBi8GLgYuBi4GLgYtBi0GLQYtBiwGLAYsBisGKwYrBisGKgYqBioGKQYpBikGKAYoBigGJwYnBicGJgYmBiYGJQYlBiQGJAYkBiMGIwYiBiIGIQYhBiEGIAYgBh8GHwYeBh4GHQYdBhwGHAYbBhsGGgYaBhkGGAYYBhcGFwYWBhYGFQYUBhQGEwYTBhIGEQYRBhAGEAYPBg4GDQYNBgwGDAYLBgoGCQYJBggGBwYHBgYGBQYFBgQGAwYDBgIGAQYABgAF/wX+Bf4F/QX8BfsF+wX6BfkF+AX4BfcF9gX2BfUF9AXzBfMF8gXxBfAF8AXvBe4F7QXtBewF6wXrBeoF6QXoBegF5wXmBeYF5QXkBeMF4wXiBeEF4QXgBd8F3gXeBd0F3AXbBdsF2gXZBdkF2AXXBdYF1gXVBdQF1AXTBdIF0QXRBdAFzwXOBc4FzQXMBcwFywXKBckFyQXIBccFxgXFBcUFxAXDBcIFwQXBBcAFvwW+Bb0FvQW8BbsFugW5BbgFuAW3BbYFtQW0BbMFsgWxBbAFsAWvBa4FrQWsBasFqgWpBagFpwWmBaUFpAWjBaIFoQWgBZ8FngWdBZwFmwWaBZkFmAWXBZYFlQWUBZMFkgWRBY8FjgWNBYwFiwWKBYkFiAWHBYYFhQWDBYIFgQWABX8FfgV9BXwFegV5BXgFdwV2BXUFdAVyBXEFcAVvBW4FbQVsBWoFaQVoBWcFZgVlBWQFYgVhBWAFXwVeBV0FXAVaBVkFWAVXBVYFVQVUBVIFUQVQBU8FTgVMBUsFSgVJBUgFRwVFBUQFQwVCBUEFQAU+BT0FPAU7BToFOAU3BTYFNAUzBTIFMQUwBS4FLQUsBSsFKQUoBScFJQUkBSMFIQUgBR8FHQUcBRsFGQUYBRcFFQUUBRMFEQUQBQ4FDQUMBQoFCQUIBQYFBQUDBQIFAQT/BP4E/AT7BPoE+AT3BPUE9ATzBPEE8ATvBO0E7ATrBOkE6ATnBOUE5ATjBOIE4ATfBN4E3QTcBNsE2gTZBNgE1wTWBNUE1ATTBNIE0QTQBM8EzwTOBM0EzATMBMsEywTKBMoEyQTJBMgEyATIBMgExwTHBMcExwTHBMcExwTHBMgEyATIBMgEyQTJBMoEygTLBMsEzATNBM4EzgTPBNAE0QTSBNME1ATVBNcE2ATZBNoE3ATdBN8E4ATiBOME5QTnBOgE6gTsBO0E7wTxBPME9QT3BPkE+wT9BP8FAQUDBQUFBwUJBQsFDQUPBREFEwUWBRgFGgUcBR4FIAUiBSQFJwUpBSsFLQUvBTEFMwU1BTcFOQU7BTwFPgVABUIFRAVFBUcFSQVLBUwFTgVPBVEFUgVUBVUFVgVXBVkFWgVbBVwFXQVeBV8FYAVgBWEFYgViBWMFZAVkBWUFZQVlBWUFZgVmBWYFZgVmBWYFZgVmBWYFZQVlBWUFZAVkBWMFYwViBWIFYQVgBWAFXwVeBV0FXAVcBVsFWgVZBVgFVgVVBVQFUwVSBVEFUAVOBU0FTAVLBUkFSAVHBUUFRAVCBUEFQAU+BT0FPAU6BTkFNwU2BTQFMwUyBTAFLwUuBSwFKwUpBSgFJwUlBSQFIwUhBSAFHwUeBRwFGwUaBRkFGAUWBRUFFAUTBRIFEQUQBQ8FDgUNBQwFCwUKBQkFCAUHBQYFBQUFBQQFAwUCBQIFAQUABP8E/wT+BP0E/QT8BPwE+wT6BPoE+QT5BPgE+AT3BPcE9gT2BPUE9QT0BPQE9ATzBPME8gTyBPEE8QTxBPAE8ATwBO8E7wTuBO4E7gTtBO0E7ATsBOwE6wTrBOsE6gTqBOkE6QTpBOgE6AToBOcE5wTnBOYE5gTlBOUE5ATkBOQE4wTjBOIE4gThBOEE4QTgBOAE3wTfBN4E3gTdBN0E3ATcBNwE2wTbBNoE2gTZBNkE2ATYBNcE1wTWBNYE1QTVBNQE1ATUBNME0wTSBNIE0QTRBNEE0ATQBM8EzwTPBM4EzgTOBM0EzQTMBMwEzATLBMsEywTLBMoEygTKBMoEyQTJBMkEyQTJBMgEyATIBMgEyATIBMgEyATIBMgExwTHBMcExwTIBMgEyATIBMgEyATIBMgEyATIBMkEyQTJBMkEygTKBMoEygTLBMsEywTMBMwEzATNBM0EzgTOBM8EzwTPBNAE0ATRBNEE0gTTBNME1ATUBNUE1QTWBNcE1wTYBNgE2QTaBNsE2wTcBN0E3QTeBN8E4ATgBOEE4gTjBOME5ATlBOYE5wTnBOgE6QTqBOsE6wTsBO0E7gTvBPAE8QTxBPIE8wT0BPUE9gT3BPgE+AT5BPoE+wT8BP0E/gT/BQAFAQUBBQIFAwUEBQUFBgUHBQgFCQUKBQsFDAUNBQ4FDgUPBRAFEQUSBRMFFAUVBRYFFwUYBRkFGgUbBRwFHQUeBR8FIAUiBSMFJAUlBSYFJwUoBSkFKgUrBS0FLgUvBTAFMQUzBTQFNQU2BTcFOQU6BTsFPQU+BUAFQQVCBUQFRQVHBUgFSQVLBUwFTgVQBVEFUwVUBVYFWAVZBVsFXQVeBWAFYgVjBWUFZwVpBWsFbQVuBXAFcgV0BXYFeAV6BXwFfgWABYIFhAWGBYgFigWMBY8FkQWTBZUFlwWaBZwFngWgBaIFpQWnBakFrAWuBbAFswW1BbcFuQW8Bb4FwQXDBcUFyAXKBc0FzwXRBdQF1gXZBdsF3QXgBeIF5QXnBekF7AXuBfAF8wX1BfcF+gX8Bf8GAQYDBgYGCAYKBgwGDwYRBhMGFgYYBhoGHAYfBiEGIwYlBicGKQYsBi4GMAYyBjQGNgY4BjoGPAY+BkAGQgZEBkYGSAZKBkwGTgZQBlIGUwZVBlcGWQZbBlwGXgZgBmEGYwZlBmYGaAZqBmsGbQZuBnAGcQZyBnQGdQZ3BngGeQZ7BnwGfQZ+BoAGgQaCBoMGhAaFBoYGhwaIBokGigaLBowGjQaOBo4GjwaQBpEGkQaSBpMGkwaUBpQGlQaVBpYGlgaWBpcGlwaXBpgGmAaYBpgGmAaYBpgGmAaYBpgGmAaYBpgGmAaYBpcGlwaXBpYGlgaVBpUGlAaUBpMGkwaSBpIGkQaQBpAGjwaOBo0GjAaLBosGigaJBogGhwaGBoUGgwaDBoEGgAZ/Bn4GfQZ7BnoGeQZ4BncGdQZ0BnMGcQZwBm8GbQZsBmsGaQZoBmcGZQZkBmIGYQZgBl4GXQZcBloGWQZYBlYGVQZUBlIGUQZQBk4GTQZMBksGSQZIBkcGRgZFBkMGQgZBBkAGPwY+Bj0GPAY7BjoGOQY4BjcGNgY1BjQGNAYzBjIGMQYxBjAGLwYuBi4GLQYtBiwGLAYrBisGKgYqBikGKQYpBigGKAYoBigGJwYnBicGJwYnBicGJgYmBiYGJgYmBiYGJgYmBicGJwYnBicGJwYnBicGKAYoBigGKAYoBikGKQYpBikGKgYqBioGKwYrBisGLAYsBiwGLQYtBi0GLgYuBi4GLwYvBjAGMAYwBjEGMQYxBjIGMgYyBjMGMwYzBjQGNAY0BjUGNQY1BjYGNgY2BjYGNwY3BjcGNwY4BjgGOAY5BjkGOQY5BjkGOQY6BjoGOgY6BjoGOgY6BjoGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjoGOgY6BjoGOgY6BjoGOgY6BjoGOQY5BjkGOQY5BjkGOQY4Bm8GbgZuBm0GbQZtBmwGbAZrBmsGawZqBmoGagZpBmkGaQZoBmgGaAZnBmcGZwZnBmYGZgZmBmYGZQZlBmUGZQZkBmQGZAZkBmQGYwZjBmMGYwZjBmIGYgZiBmIGYgZiBmEGYQZhBmEGYQZhBmEGYAZgBmAGYAZgBmAGXwZfBl8GXwZfBl4GXgZeBl4GXQZdBl0GXAZcBlwGXAZbBlsGWwZaBloGWgZZBlkGWAZYBlgGVwZXBlYGVgZVBlUGVAZUBlMGUgZSBlEGUQZQBk8GTwZOBk0GTQZMBksGSgZKBkkGSAZHBkcGRgZFBkQGQwZCBkEGQAZABj8GPgY9BjwGOwY6BjkGOAY3BjYGNQY0BjMGMgYxBjAGLgYtBiwGKwYqBikGKAYnBiYGJQYkBiIGIQYgBh8GHgYdBhwGGwYZBhgGFwYWBhUGFAYTBhEGEAYPBg4GDQYMBgsGCgYIBgcGBgYFBgQGAwYCBgEGAAX/Bf4F/QX8BfsF+gX4BfcF9gX1BfQF8wXyBfEF8AXvBe4F7QXsBesF6wXqBekF6AXnBeYF5QXkBeMF4gXhBeAF3wXeBd0F3AXbBdsF2gXZBdgF1wXWBdUF1AXTBdIF0QXQBc8FzgXOBc0FzAXLBcoFyQXIBccFxgXFBcQFwwXCBcEFwAW/Bb4FvQW8BbsFugW5BbgFtwW1BbQFswWyBbEFsAWvBa4FrQWsBaoFqQWoBacFpgWlBaMFogWhBaAFnwWeBZwFmwWaBZkFlwWWBZUFlAWTBZEFkAWPBY4FjQWLBYoFiQWIBYcFhQWEBYMFggWABX8FfgV9BXwFegV5BXgFdwV2BXUFcwVyBXEFcAVvBW4FbQVrBWoFaQVoBWcFZgVlBWQFYwViBWEFYAVeBV0FXAVbBVoFWQVYBVcFVgVVBVQFUwVSBVEFUAVPBU4FTQVMBUsFSQVIBUcFRgVFBUQFQwVCBUEFQAU/BT0FPAU7BToFOQU3BTYFNQU0BTMFMQUwBS8FLQUsBSoFKQUnBSYFJQUjBSIFIAUeBR0FGwUaBRgFFgUVBRMFEQUPBQ0FDAUKBQgFBgUEBQIFAAT+BPwE+gT4BPYE9ATyBPAE7gTsBOkE5wTlBOME4QTfBNwE2gTYBNYE1ATRBM8EzQTLBMkExwTFBMMEwAS+BLwEugS4BLYEtQSzBLEErwSuBKwEqgSpBKcEpgSkBKMEoQSgBJ8EngSdBJwEmwSaBJkEmQSYBJgElwSXBJcElgSWBJYElgSXBJcElwSYBJkEmQSaBJsEnASdBJ4EoAShBKIEpASmBKcEqQSrBK0EsASyBLQEtwS5BLwEvwTBBMQExwTKBM4E0QTUBNcE2wTeBOIE5QTpBO0E8QT0BPgE/AUABQQFCAUMBRAFFAUYBRwFIAUkBSgFLAUwBTQFOAU8BUAFRAVIBUwFUAVUBVgFWwVfBWMFZgVqBW0FcAVzBXcFegV9BYAFgwWFBYgFiwWNBY8FkgWUBZYFmAWaBZsFnQWeBaAFoQWiBaMFpAWlBaYFpgWnBacFpwWnBacFpwWnBacFpgWlBaUFpAWjBaIFoQWgBZ8FnQWcBZoFmAWXBZUFkwWRBY8FjQWLBYgFhgWEBYEFfwV8BXoFdwV0BXEFbwVsBWkFZgVjBWAFXQVaBVgFVQVRBU8FTAVJBUYFQwVABT0FOgU3BTQFMQUuBSsFKAUmBSMFIAUeBRsFGAUWBRMFEQUOBQwFCQUHBQUFAgUABP4E/AT6BPgE9gT0BPIE8ATvBO0E6wTqBOgE5wTlBOQE4gThBOAE3wTdBNwE2wTaBNkE2ATXBNYE1QTUBNME0wTSBNEE0ATQBM8EzgTOBM0EzQTMBMwEywTLBMoEygTJBMkEyATIBMcExwTHBMYExgTGBMUExQTEBMQExATDBMMEwwTCBMIEwQTBBMAEwATABL8EvwS+BL4EvgS9BL0EvAS7BLsEugS6BLkEuQS4BLgEtwS3BLYEtQS1BLQEtASzBLIEsgSxBLAEsASvBK4ErgStBKwErASrBKoEqgSpBKgEqASnBKYEpgSlBKQEpASjBKIEoQShBKAEoASfBJ4EngSdBJ0EnASbBJsEmgSaBJkEmQSYBJgElwSXBJYElgSVBJUElQSUBJQElASTBJMEkgSSBJIEkgSRBJEEkQSRBJEEkQSQBJAEkASQBJAEkASQBJAEkASQBJAEkASQBJAEkQSRBJEEkQSRBJEEkQSSBJIEkgSTBJMEkwSUBJQElASVBJUElQSWBJYElwSXBJgEmASZBJkEmgSaBJsEnAScBJ0EnQSeBJ8EnwSgBKEEoQSiBKMEowSkBKUEpgSmBKcEqASpBKoEqgSrBKwErQSuBK4ErwSwBLEEsgSzBLMEtAS1BLYEtwS4BLkEugS6BLsEvAS9BL4EvwTABMEEwgTDBMQExATFBMYExwTIBMkEygTLBMwEzQTOBM4EzwTQBNEE0gTTBNQE1ATVBNYE1wTYBNkE2gTbBNsE3ATdBN4E3wTgBOAE4QTiBOME5ATlBOYE5wTnBOgE6QTqBOsE7ATtBO4E7wTwBPAE8QTyBPME9AT1BPYE9wT4BPkE+gT7BP0E/gT/BQAFAQUCBQQFBQUGBQcFCQUKBQsFDQUOBRAFEQUTBRQFFgUXBRkFGwUdBR4FIAUiBSQFJgUoBSoFKwUuBTAFMgU0BTYFOAU7BT0FPwVCBUQFRwVJBUwFTgVRBVMFVgVZBVwFXgVhBWQFZwVqBW0FcAVzBXYFeQV8BX8FggWFBYgFjAWPBZIFlQWZBZwFnwWjBaYFqQWtBbAFtAW3BboFvgXBBcUFyAXMBc8F0gXWBdkF3QXgBeMF5wXqBe4F8QX0BfgF+wX/BgIGBQYJBgwGDwYTBhYGGQYcBiAGIwYmBikGLAYvBjIGNQY5BjsGPgZBBkUGRwZKBk0GUAZTBlYGWQZbBl4GYQZkBmcGaQZsBm8GcQZ0BncGeQZ8Bn4GgQaDBoYGiAaLBo0GjwaSBpQGlwaZBpsGnQagBqIGpAamBqkGqwatBq8GsQazBrUGtwa6BrwGvQa/BsEGwwbFBscGyQbLBs0GzgbQBtIG0wbVBtYG2AbaBtsG3QbeBt8G4QbiBuQG5QbmBucG6AbpBuoG6wbsBu0G7gbvBvAG8AbxBvIG8gbzBvMG9Ab0BvQG9Ab1BvUG9Qb1BvUG9Qb0BvQG9Ab0BvMG8wbyBvIG8QbwBu8G7wbuBu0G7AbrBuoG6QboBuYG5QbkBuIG4QbfBt4G3AbbBtkG1wbWBtQG0gbQBs4GzQbLBskGxwbFBsMGwAa+BrwGuga4BrYGtAayBq8GrQarBqkGpwakBqIGoAaeBpwGmgaYBpUGkwaRBo8GjQaLBokGhwaFBoMGgQaABn4GfAZ6BngGdwZ1BnMGcgZwBm8GbQZsBmsGaQZoBmcGZgZlBmQGYwZiBmEGYAZfBl4GXgZdBlwGWwZbBloGWgZaBlkGWQZZBlkGWAZYBlgGWAZYBlgGWAZYBlgGWQZZBlkGWQZaBloGWgZbBlsGXAZcBl0GXQZeBl4GXwZgBmAGYQZiBmIGYwZkBmQGZQZmBmcGZwZoBmkGagZqBmsGbAZsBm0GbgZvBm8GcAZxBnIGcgZzBnMGdAZ1BnUGdgZ3BncGeAZ4BnkGeQZ6BnoGegZ7BnsGfAZ8BnwGfQZ9Bn0GfQZ+Bn4GfgZ+Bn8GfwZ/Bn8GfwZ/Bn8GfwZ/Bn8GfwZ/Bn8GfgZ+Bn4GfgZ+Bn4GfQZ9Bn0GfQZ8BnwGfAZ7BnsGewZ6BnoGegZ5BnkGeQZ4BngGdwZ3BnYGdgZ2BnUGdQZ0BnQGcwZzBnIGcgZyBnEGcQZwBnAGbwZvBqgGpwanBqYGpQalBqQGpAajBqMGogahBqEGoAagBp8GnwaeBp4GnQadBp0GnAacBpwGmwabBpsGmgaaBpoGmgaZBpkGmQaZBpkGmAaYBpgGmAaYBpgGlwaXBpcGlwaXBpcGlwaWBpYGlgaWBpYGlgaWBpYGlgaVBpUGlQaVBpUGlQaVBpQGlAaUBpQGlAaUBpMGkwaTBpMGkgaSBpIGkgaRBpEGkQaQBpAGkAaPBo8GjgaOBo0GjQaMBowGiwaLBooGigaJBokGiAaHBoYGhgaFBoQGhAaDBoIGgQaBBoAGfwZ+Bn0GfAZ7BnoGeQZ4BncGdgZ1BnQGcwZyBnEGcAZvBm0GbAZrBmoGaQZoBmYGZQZkBmIGYQZgBl8GXQZcBloGWQZYBlYGVQZTBlIGUQZPBk4GTAZLBkkGSAZHBkUGRAZCBkEGPwY+BjwGOwY5BjgGNgY1BjMGMgYwBi8GLQYsBioGKQYnBiYGJAYjBiEGIAYeBh0GHAYaBhkGFwYWBhUGEwYSBhAGDwYOBgwGCwYKBgkGBwYGBgUGBAYCBgEGAAX/Bf0F/AX7BfoF+AX3BfYF9QX0BfMF8gXwBe8F7gXtBewF6wXqBekF5wXmBeUF5AXjBeIF4QXgBd8F3gXdBdsF2gXZBdgF1wXWBdUF1AXTBdIF0AXPBc4FzQXMBcsFyQXIBccFxgXFBcMFwgXBBcAFvgW9BbwFuwW5BbgFtwW1BbQFswWxBbAFrwWtBawFqwWpBagFpwWlBaQFogWhBaAFngWdBZsFmgWYBZcFlgWUBZMFkQWQBY8FjQWMBYoFiQWIBYYFhQWDBYIFgQV/BX4FfQV7BXoFeQV4BXYFdQV0BXIFcQVwBW8FbgVtBWsFagVpBWgFZwVmBWUFZAVjBWIFYQVgBV8FXgVdBVwFWwVaBVkFWAVXBVYFVQVVBVQFUwVSBVEFUAVQBU8FTgVNBUwFSwVLBUoFSQVIBUcFRgVFBUQFRAVDBUIFQQVABT8FPgU9BTwFOwU5BTgFNwU2BTUFMwUyBTEFLwUuBS0FKwUqBSgFJgUlBSMFIQUgBR4FHAUaBRgFFgUUBRIFEAUOBQsFCQUHBQQFAgT/BP0E+gT4BPUE8gTvBO0E6gTnBOQE4QTeBNsE2ATVBNIEzwTMBMkExgTDBMAEvQS6BLcEtASxBK4EqwSoBKUEogSfBJwEmQSWBJQEkQSPBIwEigSHBIUEgwSBBH8EfQR7BHkEeAR2BHUEdARzBHIEcQRwBG8EbwRvBG8EbwRvBG8EbwRwBHEEcgRzBHQEdQR3BHgEegR8BH8EgQSEBIYEiQSMBI8EkwSWBJoEnQShBKUEqgSuBLIEtwS7BMAExQTKBM8E1QTaBN8E5QTqBPAE9gT7BQEFBwUNBRMFGQUeBSQFKgUwBTYFPAVCBUgFTQVTBVkFXgVkBWkFbgVzBXkFfgWCBYcFjAWQBZUFmQWdBaEFpQWoBawFrwWyBbUFuAW6Bb0FvwXBBcIFxAXFBcYFxwXIBckFyQXJBckFyQXIBcgFxwXGBcUFwwXBBcAFvgW8BbkFtwW0BbEFrgWrBagFpAWhBZ0FmQWVBZEFjQWJBYQFgAV7BXcFcgVtBWgFYwVeBVkFVAVPBUoFRQVABTsFNgUxBSwFJwUiBR0FGAUTBQ4FCQUEBP8E+wT2BPEE7QToBOQE4ATcBNgE1ATQBMwEyATEBMEEvgS6BLcEtASxBK4EqwSoBKYEowShBJ8EnQSaBJgElgSVBJMEkQSQBI4EjQSMBIsEigSJBIgEhwSGBIYEhQSEBIQEhASDBIMEgwSCBIIEggSCBIIEggSCBIIEggSCBIIEgwSDBIMEgwSDBIQEhASEBIQEhASFBIUEhQSFBIYEhgSGBIYEhgSHBIcEhwSHBIcEhwSHBIcEhwSHBIcEhwSHBIcEhwSHBIcEhgSGBIYEhgSFBIUEhQSFBIQEhASEBIMEgwSDBIIEggSBBIEEgASABIAEfwR/BH4EfgR9BH0EfAR8BHsEewR7BHoEegR5BHkEeAR4BHgEdwR3BHcEdgR2BHYEdgR1BHUEdQR1BHUEdQR0BHQEdAR0BHQEdAR0BHQEdQR1BHUEdQR1BHUEdgR2BHYEdwR3BHcEeAR4BHgEeQR5BHoEegR7BHsEfAR8BH0EfgR+BH8EgASABIEEggSCBIMEhASEBIUEhgSHBIcEiASJBIoEiwSLBIwEjQSOBI4EjwSQBJEEkgSSBJMElASVBJYElgSXBJgEmQSaBJoEmwScBJ0EngSfBJ8EoAShBKIEowSjBKQEpQSmBKcEpwSoBKkEqgSrBKsErAStBK4ErwSwBLEEsQSyBLMEtAS1BLYEtwS4BLkEugS6BLsEvAS9BL4EvwTABMEEwgTDBMQExQTGBMcEyATJBMoEywTMBM0EzwTPBNEE0gTTBNQE1QTWBNcE2ATZBNoE3ATdBN4E3wTgBOEE4gTjBOQE5QTmBOcE6ATpBOoE6wTsBO0E7gTvBPAE8QTyBPME9AT1BPYE9wT4BPkE+QT6BPsE/AT9BP4E/gT/BQAFAQUCBQIFAwUEBQUFBQUGBQcFCAUJBQkFCgULBQwFDQUOBQ4FDwUQBREFEgUTBRQFFQUWBRcFGAUZBRoFGwUcBR4FHwUgBSEFIwUkBSYFJwUoBSoFLAUtBS8FMQUzBTUFNwU4BTsFPQU/BUEFQwVFBUgFSgVNBU8FUgVVBVcFWgVdBWAFYgVlBWkFbAVvBXIFdQV4BXwFfwWCBYYFiQWNBZAFlAWXBZsFnwWiBaYFqgWtBbEFtQW5Bb0FwQXEBcgFzAXQBdQF1wXbBd8F4wXnBesF7gXyBfYF+gX9BgEGBQYIBgwGEAYTBhcGGgYeBiEGJQYoBiwGLwYyBjUGOQY8Bj8GQgZFBkgGSwZOBlEGVAZXBloGXQZgBmIGZQZoBmoGbQZwBnIGdQZ3BnoGfAZ/BoEGhAaGBokGiwaNBpAGkgaVBpcGmQacBp4GoAajBqUGpwaqBqwGrgaxBrMGtQa3BroGvAa/BsEGwwbGBsgGygbNBs8G0QbUBtYG2QbbBt4G4AbiBuUG5wbpBuwG7gbwBvMG9Qb3BvoG/Ab+BwAHAwcFBwcHCQcLBw0HDwcRBxMHFQcXBxkHGgccBx4HHwchByIHJAclByYHJwcoBykHKgcrBywHLQcuBy4HLwcvBy8HMAcwBzAHMAcwBy8HLwcvBy4HLgctBywHKwcrByoHKQcnByYHJQcjByIHIAcfBx0HGwcZBxgHFgcTBxEHDwcNBwsHCAcGBwMHAQb/BvwG+Qb3BvQG8gbvBuwG6gbnBuQG4QbfBtwG2QbXBtQG0QbOBswGyQbHBsQGwga/Br0Guga4BrUGswaxBq8GrQarBqkGpwalBqMGoQafBp4GnAabBpkGmAaXBpYGlAaTBpIGkgaRBpAGjwaPBo4GjgaNBo0GjQaMBowGjAaMBowGjAaNBo0GjQaOBo4GjwaPBpAGkAaRBpIGkwaTBpQGlQaWBpcGmAaZBpsGnAadBp4GnwagBqIGowakBqUGpgaoBqkGqgasBq0GrgavBrEGsgazBrUGtga3BrgGuQa7BrwGvQa+Br8GwAbBBsIGwwbEBsUGxgbHBscGyAbJBsoGygbLBswGzAbNBs0GzgbOBs4GzwbPBs8GzwbQBtAG0AbQBtAG0AbQBtAG0AbQBs8GzwbPBs8GzgbOBs4GzQbNBs0GzAbMBssGywbKBskGyQbIBscGxwbGBsUGxQbEBsMGwgbBBsEGwAa/Br4GvQa9BrwGuwa6BrkGuAa3BrcGtga1BrQGswayBrIGsQawBq8GrgatBq0GrAarBqoGqgapBuMG4wbiBuEG4QbgBuAG3wbfBt4G3gbeBt0G3QbcBtwG3AbbBtsG2gbaBtoG2QbZBtkG2QbYBtgG2AbYBtcG1wbXBtcG1gbWBtYG1gbWBtUG1QbVBtUG1QbUBtQG1AbUBtQG0wbTBtMG0wbSBtIG0gbRBtEG0QbRBtAG0AbQBs8GzwbPBs4GzgbOBs0GzQbMBswGzAbLBssGygbKBskGyQbIBsgGxwbHBsYGxgbFBsUGxAbEBsMGwwbCBsEGwQbABr8Gvwa+Br4GvQa8BrwGuwa6BroGuQa4BrgGtwa2BrUGtQa0BrMGswayBrEGsAavBq4GrgatBqwGqwaqBqkGqQanBqcGpgalBqQGowaiBqEGoAafBp0GnAabBpoGmQaYBpcGlQaUBpMGkgaQBo8GjgaMBosGigaIBocGhQaEBoIGgQZ/Bn4GfAZ6BnkGdwZ2BnQGcgZxBm8GbQZrBmoGaAZmBmQGYwZhBl8GXQZbBloGWAZWBlQGUgZRBk8GTQZLBkkGSAZGBkQGQgZABj4GPQY7BjkGNwY2BjQGMgYxBi8GLQYsBioGKAYnBiUGIwYiBiAGHwYdBhwGGgYYBhcGFQYUBhMGEQYQBg4GDQYMBgoGCQYHBgYGBQYDBgIGAQX/Bf4F/QX7BfoF+QX3BfYF9QXzBfIF8QXvBe4F7QXrBeoF6QXnBeYF5QXjBeIF4AXfBd0F3AXaBdkF2AXWBdUF0wXSBdAFzgXNBcsFygXIBcYFxQXDBcEFwAW+Bb0FuwW5BbcFtgW0BbIFsAWvBa0FqwWpBacFpQWkBaIFoAWeBZwFmgWYBZcFlQWTBZEFjwWNBYwFigWIBYYFhAWCBYEFfwV9BXsFeQV4BXYFdAVyBXEFbwVtBWwFagVoBWYFZQVjBWIFYAVfBV0FXAVaBVkFVwVWBVQFUwVSBVAFTwVOBUwFSwVKBUkFSAVGBUUFRAVDBUIFQQVABT8FPgU9BTwFOwU6BTkFOAU4BTcFNgU1BTQFMwUzBTIFMQUwBS8FLgUuBS0FLAUrBSoFKQUoBScFJwUmBSQFIwUiBSEFIAUfBR4FHQUbBRoFGQUXBRYFFAUTBREFDwUOBQwFCgUIBQYFBAUCBQAE/gT7BPkE9gT0BPEE7wTsBOkE5gTkBOAE3QTaBNcE1ATRBM0EygTHBMMEwAS8BLkEtQSyBK4EqgSnBKMEnwScBJgElASRBI0EigSGBIMEfwR8BHkEdQRyBG8EbARpBGcEZARiBF8EXQRbBFkEVwRVBFQEUgRRBFAETwRPBE4ETgROBE4ETgRPBFAEUQRSBFMEVQRXBFkEXAReBGEEZARnBGsEbgRyBHcEewR/BIQEiQSOBJQEmQSfBKUEqgSxBLcEvQTEBMsE0QTYBN8E5gTtBPUE/AUDBQoFEgUZBSAFJwUvBTYFPQVEBUsFUgVZBV8FZgVsBXIFeAV+BYQFiQWPBZQFmQWdBaIFpgWqBa0FsQW0BbcFuQW8Bb4FwAXBBcIFwwXDBcQFwwXDBcIFwQXABb4FvAW6BbgFtQWyBa8FqwWnBaMFnwWaBZUFkAWLBYUFgAV6BXQFbgVnBWEFWgVTBUwFRQU+BTcFMAUoBSEFGgUSBQsFAwT8BPQE7QTlBN4E1wTPBMgEwQS6BLMErASmBJ8EmQSSBIwEhgSABHoEdQRvBGoEZQRgBFsEVwRSBE4ESgRHBEMEQAQ8BDkENgQ0BDEELwQtBCsEKQQoBCYEJQQkBCMEIgQhBCEEIQQgBCAEIAQgBCEEIQQiBCIEIwQkBCUEJgQnBCgEKQQqBCwELQQuBDAEMQQzBDUENgQ4BDkEOwQ8BD4EQARBBEMERARGBEcESQRKBEsETQROBE8EUQRSBFMEVARVBFYEVwRYBFkEWgRbBFsEXARcBF0EXgReBF4EXwRfBF8EXwRgBGAEYARgBGAEYARgBGAEXwRfBF8EXwRfBF4EXgReBF4EXQRdBFwEXARcBFsEWwRbBFsEWgRaBFoEWQRZBFkEWQRYBFgEWARYBFgEWARYBFgEWARYBFgEWARYBFkEWQRZBFoEWgRbBFsEXARcBF0EXgReBF8EYARhBGIEYwRkBGUEZgRnBGgEagRrBGwEbgRvBHAEcgR0BHUEdwR4BHoEewR9BH8EgASCBIQEhQSHBIkEiwSMBI4EkASSBJMElQSXBJkEmgScBJ4EnwShBKMEpASmBKcEqQSqBKwErQSvBLAEsgSzBLQEtgS3BLgEuQS6BLwEvQS+BL8EwATBBMIEwwTEBMUExgTGBMcEyATJBMkEygTLBMsEzATNBM0EzgTPBM8E0ATQBNEE0gTSBNME0wTUBNQE1QTWBNYE1wTYBNgE2QTaBNoE2wTcBN0E3QTeBN8E4AThBOIE4wTkBOUE5gTnBOgE6QTqBOwE7QTuBPAE8QTyBPQE9QT2BPgE+QT7BP0E/gUABQEFAwUFBQYFCAUKBQwFDQUPBREFEgUUBRYFGAUaBRsFHQUfBSEFIgUkBSYFJwUpBSsFLAUuBS8FMQUyBTQFNQU3BTgFOQU7BTwFPQU+BUAFQQVCBUMFRAVFBUYFRwVIBUgFSQVKBUsFTAVMBU0FTgVOBU8FUAVQBVEFUQVSBVIFUwVTBVQFVAVVBVUFVgVXBVcFWAVYBVkFWgVaBVsFXAVdBV0FXgVfBWAFYQViBWQFZQVmBWcFaQVqBWwFbQVvBXAFcgV0BXYFeAV6BXwFfgWABYMFhQWHBYoFjQWPBZIFlQWYBZsFngWhBaQFpwWqBa0FsQW0BbcFuwW+BcIFxQXJBc0F0AXUBdgF2wXfBeMF5gXqBe4F8gX2BfkF/QYBBgQGCAYMBg8GEwYWBhoGHQYhBiQGJwYrBi4GMQY0BjgGOwY+BkEGRAZGBkkGTAZPBlEGVAZXBlkGWwZeBmAGYwZlBmcGaQZrBm0GcAZyBnMGdQZ3BnkGewZ9Bn8GgQaCBoQGhgaIBokGiwaNBo4GkAaSBpQGlQaXBpkGmwadBp8GoQajBqQGpgapBqsGrQavBrEGswa2BrgGuga9Br8GwgbEBscGygbMBs8G0gbVBtcG2gbdBuAG4wbmBukG7QbwBvMG9gb5BvwHAAcDBwYHCQcMBxAHEwcWBxkHHAcfByIHJQcoBysHLgcxBzQHNwc5BzwHPwdBB0MHRgdIB0oHTAdOB1AHUQdTB1QHVgdXB1gHWQdaB1sHXAdcB10HXQddB10HXQddB10HXAdcB1sHWgdZB1gHVwdWB1QHUwdRB08HTgdMB0oHSAdFB0MHQQc+BzwHOQc3BzQHMQcvBywHKQcmByMHIAcdBxoHFwcUBxEHDgcLBwgHBgcDBwAG/Qb6BvcG9QbyBu8G7QbqBugG5QbjBuEG3gbcBtoG2AbWBtUG0wbRBtAGzgbNBswGywbKBskGyAbHBsYGxgbFBsUGxQbFBsQGxAbEBsUGxQbFBsUGxgbGBscGxwbIBskGygbLBswGzQbOBs8G0AbRBtMG1AbVBtYG2AbZBtsG3AbeBt8G4QbiBuQG5QbnBugG6gbrBu0G7gbwBvEG8wb0BvYG9wb4BvoG+wb8Bv4G/wcABwEHAgcEBwUHBgcHBwgHCQcKBwoHCwcMBw0HDgcOBw8HDwcQBxAHEQcRBxIHEgcSBxIHEwcTBxMHEwcTBxMHEwcTBxMHEwcTBxIHEgcSBxIHEQcRBxEHEAcQBw8HDwcOBw4HDQcNBwwHCwcKBwoHCQcIBwgHBwcGBwUHBQcEBwMHAgcBBwAG/wb/Bv4G/Qb8BvsG+gb5BvgG9wb3BvYG9Qb0BvMG8gbxBvAG8AbvBu4G7QbsBuwG6wbqBukG6QboBucG5wbmBuUG5QbkByQHJAckByQHJAckByQHJAckByQHJAckByMHIwcjByMHIwcjByMHIwcjByMHIwcjByMHIwcjByIHIgciByIHIgciByEHIQchByEHIAcgByAHHwcfBx8HHgceBx0HHQccBxwHGwcaBxoHGQcYBxgHFwcWBxUHFQcUBxMHEgcRBxAHDwcPBw4HDQcMBwsHCgcJBwgHBwcGBwUHAwcCBwEHAAb/Bv4G/Qb8BvsG+gb5BvgG9wb2BvUG9AbzBvIG8QbwBu8G7wbuBu0G7AbrBusG6gbpBugG6AbnBuYG5gblBuQG5AbjBuMG4gbiBuEG4QbgBuAG3wbfBt4G3gbdBt0G3AbcBtsG2wbaBtoG2QbZBtgG2AbXBtcG1gbWBtUG1AbUBtMG0gbRBtAG0AbPBs4GzQbMBssGygbJBsgGxwbFBsQGwwbCBsAGvwa9BrwGuga5BrcGtQa0BrIGsAauBqwGqwapBqcGpQajBqEGnwacBpoGmAaWBpQGkgaQBo0GiwaJBoYGhAaCBoAGfQZ7BnkGdwZ0BnIGcAZtBmsGaQZnBmQGYgZgBl4GXAZaBlgGVQZTBlEGTwZNBksGSQZHBkUGQwZCBkAGPgY8BjoGOAY3BjUGMwYxBjAGLgYsBisGKQYnBiYGJAYiBiEGHwYeBhwGGgYZBhcGFgYUBhIGEQYPBg0GDAYKBgkGBwYFBgQGAgYABf8F/QX7BfkF9wX2BfQF8gXwBe8F7QXrBekF5wXlBeMF4QXfBd0F2wXZBdcF1QXTBdEFzwXNBcsFyQXHBcUFwwXBBb4FvAW6BbgFtgW0BbEFrwWtBasFqQWmBaQFogWgBZ0FmwWZBZcFlAWSBZAFjQWLBYkFhgWEBYIFfwV9BXsFeAV2BXQFcQVvBW0FagVoBWYFYwVhBV8FXAVaBVgFVQVTBVEFTwVMBUoFSAVGBUQFQQU/BT0FOwU5BTcFNQUzBTEFLwUtBSsFKgUoBSYFJAUjBSEFHwUeBRwFGwUaBRgFFwUWBRQFEwUSBREFEAUOBQ4FDQUMBQsFCgUJBQgFBwUHBQYFBQUFBQQFAwUCBQIFAQUBBQAFAAT/BP4E/gT9BPwE/AT7BPoE+QT5BPgE9wT2BPUE9ATzBPIE8ATvBO4E7ATrBOkE6ATmBOQE4gTgBN4E3ATZBNcE1ATSBM8EzATJBMYEwwTABL0EugS2BLMErwSsBKgEpASgBJ0EmQSVBJEEjQSJBIUEgQR9BHkEdQRxBG0EaQRlBGIEXgRaBFcEUwRQBE0ESgRHBEUEQgRABD4EPAQ6BDkENwQ2BDUENQQ1BDQENQQ1BDYENwQ4BDoEPAQ+BEAEQwRGBEkETQRRBFUEWQReBGMEaARuBHQEegSABIcEjQSUBJsEowSqBLIEugTCBMoE0gTaBOIE6wTzBPsFBAUMBRQFHQUlBS0FNQU9BUUFTAVUBVsFYgVpBW8FdgV8BYIFhwWMBZEFlgWaBZ4FoQWkBacFqQWrBa0FrgWuBa8FrwWuBa0FrAWqBagFpQWiBZ8FmwWXBZIFjQWIBYIFfAV2BW8FaQVhBVoFUgVKBUIFOQUxBSgFHwUWBQ0FAwT6BPAE5gTdBNMEyQS/BLYErASiBJkEjwSGBH0EcwRqBGIEWQRQBEgEQAQ4BDAEKQQhBBoEFAQNBAcEAQP7A/YD8QPsA+cD4wPfA9wD2APVA9ID0APNA8wDygPIA8cDxgPGA8UDxQPFA8UDxgPGA8cDyQPKA8sDzQPPA9ED0wPVA9gD2gPdA98D4gPlA+gD6wPuA/ED9AP3A/sD/gQBBAQECAQLBA4EEQQUBBgEGwQeBCEEJAQnBCkELAQvBDEENAQ2BDkEOwQ9BEAEQgRDBEUERwRJBEoETARNBE4EUARRBFIEUwRUBFQEVQRWBFYEVwRXBFcEWARYBFgEWARYBFgEWARXBFcEVwRXBFYEVgRWBFUEVQRUBFMEUwRSBFIEUQRRBFAEUARPBE8ETgROBE0ETQRMBEwESwRLBEsESgRKBEoESgRKBEoESgRKBEoESgRLBEsESwRMBEwETQROBE4ETwRQBFEEUgRTBFQEVQRWBFcEWQRaBFwEXQRfBGEEYgRkBGYEaARqBGwEbgRwBHIEdAR3BHkEewR9BIAEggSFBIcEiQSMBI4EkQSTBJYEmASbBJ0EoASiBKQEpwSpBKsErgSwBLIEtQS3BLkEuwS9BL8EwQTDBMUExwTJBMsEzATOBNAE0QTTBNQE1QTXBNgE2QTaBNsE3ATdBN4E3wTgBOEE4QTiBOME4wTkBOQE5QTlBOUE5gTmBOcE5wTnBOcE5wToBOgE6AToBOgE6AToBOkE6QTpBOkE6QTqBOoE6gTrBOsE6wTsBOwE7QTtBO4E7gTvBPAE8QTyBPIE9AT1BPYE9wT4BPkE+wT8BP4E/wUBBQMFBAUGBQgFCgUMBQ4FEAUSBRUFFwUZBRwFHgUhBSMFJgUpBSsFLgUxBTMFNgU5BTwFPgVBBUQFRwVJBUwFTwVSBVQFVwVaBVwFXwVhBWQFZgVpBWsFbgVwBXIFdAV2BXgFegV8BX4FfwWBBYIFhAWFBYcFiAWJBYoFiwWMBY0FjgWPBY8FkAWQBZEFkQWSBZIFkgWSBZIFkwWTBZMFkwWTBZMFkwWSBZIFkgWSBZIFkgWSBZIFkgWSBZIFkgWSBZIFkgWTBZMFkwWUBZQFlQWVBZYFlwWYBZgFmgWbBZwFnQWeBaAFoQWjBaQFpgWoBaoFrAWuBbAFswW1BbcFugW9Bb8FwgXFBcgFygXNBdEF1AXXBdoF3QXhBeQF5wXrBe4F8QX1BfgF/AX/BgMGBgYJBg0GEAYUBhcGGwYeBiEGJQYoBisGLgYxBjQGNwY6Bj0GQAZDBkYGSAZLBk4GUAZSBlUGVwZZBlwGXgZgBmIGZAZmBmgGagZsBm0GbwZxBnIGdAZ2BncGeQZ6BnwGfQZ/BoAGggaDBoQGhgaHBokGigaMBo0GjwaRBpIGlAaWBpgGmgabBp0GnwahBqQGpgaoBqoGrQavBrIGtQa3BroGvQbABsMGxgbKBs0G0AbUBtcG2wbeBuIG5gbqBu4G8gb2BvoG/gcCBwcHCwcPBxMHGAccByAHJQcpBy4HMgc2BzoHPwdDB0cHSwdPB1MHVwdbB18HYwdmB2oHbQdxB3QHdwd6B30HgAeCB4UHhweJB4sHjQePB5AHkgeTB5QHlQeWB5YHlweXB5cHlweXB5YHlgeVB5QHkweSB5EHjweOB4wHigeIB4YHhAeCB4AHfQd7B3gHdQdzB3AHbQdqB2cHZAdhB14HWwdYB1QHUQdOB0sHSAdFB0IHPwc8BzkHNwc0BzEHLwcsByoHJwclByMHIQcfBx0HGwcZBxgHFgcVBxMHEgcRBxAHDwcOBw4HDQcNBwwHDAcMBwwHDAcMBwwHDAcNBw0HDgcOBw8HEAcQBxEHEgcTBxQHFQcWBxcHGQcaBxsHHAcdBx8HIAchByIHJAclByYHKAcpByoHKwcsBy4HLwcwBzEHMgczBzQHNQc2BzcHOAc5BzoHOgc7BzwHPAc9Bz4HPgc/Bz8HQAdAB0EHQQdBB0EHQgdCB0IHQgdCB0IHQgdCB0IHQgdCB0IHQgdCB0IHQgdCB0IHQQdBB0EHQQdAB0AHQAdABz8HPwc/Bz4HPgc+Bz0HPQc8BzwHPAc7BzsHOgc6BzoHOQc5BzgHOAc4BzcHNwc2BzYHNQc1BzQHNAczBzMHMgcyBzIHMQcxBzAHMAcvBy8HLgcuBy0HLQctBywHLAcrBysHKgcqByoHKQcpBykHKAcoBygHJwcnBycHJwcmByYHJgcmByYHJQclByUHJQclB2kHagdqB2oHagdrB2sHawdrB2wHbAdsB2wHbAdtB20HbQdtB24HbgduB24HbgduB24HbwdvB28HbwdvB24HbgduB24HbgdtB20HbQdsB2wHawdrB2oHaQdpB2gHZwdmB2UHZAdkB2IHYQdgB18HXgddB1sHWgdZB1cHVgdUB1MHUQdQB04HTAdLB0kHSAdGB0QHQwdBBz8HPgc8BzoHOQc3BzUHNAcyBzEHLwcuBywHKwcpBygHJgclByQHIgchByAHHwceBx0HHAcbBxoHGQcYBxcHFwcWBxUHFQcUBxMHEwcSBxIHEQcRBxEHEAcQBxAHEAcQBw8HDwcPBw8HDwcPBw8HDwcOBw4HDgcOBw4HDgcOBw4HDQcNBw0HDQcMBwwHDAcLBwsHCgcKBwkHCAcIBwcHBgcFBwUHAwcCBwEHAAb/Bv4G/Ab7BvkG+Ab2BvQG8gbxBu8G7QbrBukG5wblBuIG4AbeBtsG2QbWBtQG0QbPBswGygbHBsQGwga/BrwGuQa3BrQGsQauBqwGqQamBqQGoQaeBpwGmQaWBpQGkQaPBowGigaHBoUGgwaABn4GfAZ6BncGdQZzBnEGbwZtBmsGaQZnBmUGYwZhBmAGXgZcBloGWQZXBlUGUwZRBlAGTgZMBkoGSQZHBkUGQwZBBj8GPgY8BjoGOAY2BjQGMgYwBi4GLAYqBigGJQYjBiEGHwYdBhoGGAYVBhMGEQYOBgwGCQYHBgUGAgYABf0F+wX4BfYF8wXwBe4F6wXpBeYF5AXhBd8F3AXaBdcF1QXSBdAFzQXLBckFxgXEBcIFvwW9BbsFuAW2BbQFsQWvBa0FqwWoBaYFpAWiBaAFnQWbBZkFlwWUBZIFkAWOBYsFiQWHBYUFggWABX4FewV5BXYFdAVyBW8FbQVqBWcFZQViBWAFXQVaBVgFVQVSBVAFTQVKBUcFRQVCBT8FPAU6BTcFNAUxBS8FLAUpBSYFJAUhBR4FHAUZBRcFFAUSBQ8FDQUKBQgFBgUEBQEE/wT9BPsE+QT4BPYE9ATyBPEE8ATuBO0E6wTqBOkE6ATnBOYE5QTkBOQE4wTiBOIE4QThBOAE4ATfBN8E3wTfBN4E3gTeBN4E3QTdBN0E3QTcBNwE3ATcBNsE2wTaBNoE2QTYBNgE1wTWBNUE0wTSBNEEzwTOBMwEygTIBMYExATCBL8EvAS6BLcEtASxBK0EqgSmBKMEnwSbBJcEkwSPBIoEhgSCBH0EeQR0BG8EawRmBGIEXQRZBFQEUARLBEcEQwQ/BDsENwQzBDAELQQpBCcEJAQiBCAEHgQcBBsEGgQZBBkEGQQZBBoEGwQcBB4EIAQjBCYEKQQtBDAENQQ5BD8ERARKBFAEVgRdBGQEawRzBHsEgwSLBJQEnQSmBK8EuATBBMsE1ATdBOcE8AT6BQMFDQUWBR8FKAUwBTkFQQVJBVEFWQVgBWcFbQVzBXkFfgWDBYcFiwWPBZIFlAWWBZcFmAWZBZkFmAWXBZUFkwWQBY0FiQWFBYAFewV1BW8FaAVhBVkFUQVJBUAFNwUuBSQFGgUQBQYE+wTwBOUE2gTPBMMEuASsBKEElQSKBH8EcwRoBF0EUgRHBDwEMgQnBB0EFAQKBAED+APvA+cD3wPXA9ADyQPCA7wDtgOxA6wDpwOjA58DmwOYA5UDkwORA48DjgONA4wDiwOLA4wDjAONA44DkAORA5MDlgOYA5oDnQOgA6MDpwOqA64DsQO1A7kDvQPBA8UDyQPOA9ID1gPbA98D4wPnA+wD8AP0A/gD/AQABAQECAQMBBAEEwQXBBoEHgQhBCQEJwQqBC0EMAQyBDUENwQ5BDwEPgRABEIEQwRFBEYESARJBEsETARNBE4ETwRPBFAEUQRRBFIEUgRTBFMEUwRTBFMEUwRTBFMEUwRTBFMEUgRSBFIEUgRRBFEEUARQBE8ETwROBE4ETQRMBEwESwRLBEoESgRJBEgESARHBEcERgRGBEUERQRFBEQERAREBEMEQwRDBEMEQwRDBEMEQwRDBEMERAREBEQERQRFBEYERwRHBEgESQRKBEsETARNBE4ETwRRBFIEUwRVBFYEWARaBFsEXQRfBGEEYwRlBGcEaQRrBG0EbwRyBHQEdgR4BHsEfQSABIIEhASHBIkEjASOBJEEkwSWBJgEmgSdBJ8EogSkBKYEqQSrBK0ErwSyBLQEtgS4BLoEvAS+BMAEwgTEBMYExwTJBMsEzATOBM8E0QTSBNQE1QTWBNcE2ATZBNsE3ATcBN0E3gTfBOAE4AThBOIE4gTjBOME5ATkBOUE5QTmBOYE5gTnBOcE5wToBOgE6AToBOkE6QTpBOkE6gTqBOsE6wTrBOwE7ATtBO0E7gTvBO8E8ATxBPIE8wT0BPUE9gT3BPgE+QT7BPwE/gUABQEFAwUFBQcFCQULBQ0FEAUSBRUFFwUaBRwFHwUiBSUFKAUrBS4FMQU0BTcFOwU+BUEFRQVIBUwFTwVSBVYFWQVdBWAFZAVnBWsFbgVxBXUFeAV7BX4FggWFBYgFiwWNBZAFkwWWBZgFmwWdBZ8FoQWjBaUFpwWpBaoFrAWtBa8FsAWxBbIFswW0BbQFtQW1BbYFtgW2BbYFtgW2BbYFtgW2BbYFtQW1BbQFtAW0BbMFswWyBbEFsQWwBbAFrwWvBa4FrgWtBa0FrAWsBawFrAWsBasFqwWrBawFrAWsBawFrQWtBa4FrwWwBbAFsQWzBbQFtQW3BbgFuQW7Bb0FvwXBBcMFxQXHBckFywXOBdAF0wXVBdgF2wXeBeAF4wXmBekF7AXvBfIF9QX4BfsF/gYBBgQGBwYLBg4GEQYUBhcGGgYdBiAGIwYmBikGLAYvBjEGNAY3BjoGPAY/BkIGRAZHBkkGTAZOBlAGUwZVBlcGWQZcBl4GYAZiBmQGZgZoBmoGbAZuBnAGcgZzBnUGdwZ5BnsGfQZ/BoEGgwaEBoYGiAaKBowGjgaQBpMGlQaXBpkGnAaeBqAGowalBqgGqwauBrEGswa2BroGvQbABsMGxwbKBs4G0gbVBtkG3QbhBuUG6gbuBvIG9wb7BwAHBQcKBw4HEwcYBx0HIgcoBy0HMgc3BzwHQgdHB0wHUgdXB1wHYQdmB2wHcQd2B3sHgAeFB4kHjgeTB5cHnAegB6QHqAesB7AHswe3B7oHvQfAB8MHxgfIB8oHzAfOB9AH0QfSB9QH1QfVB9YH1gfWB9YH1gfVB9UH1AfTB9IH0AfPB84HzAfKB8gHxgfDB8EHvwe8B7kHtwe0B7EHrgerB6gHpQeiB58HnAeYB5UHkgePB4wHiQeGB4QHgQd+B3sHeQd2B3QHcgdvB20HawdpB2cHZgdkB2MHYQdgB18HXgddB1wHXAdbB1sHWgdaB1oHWgdaB1oHWwdbB1sHXAdcB10HXQdeB18HYAdhB2IHYgdjB2QHZQdmB2cHaAdpB2oHawdsB20HbgdvB3AHcQdxB3IHcwdzB3QHdQd1B3YHdgd2B3cHdwd3B3cHeAd4B3gHeAd4B3cHdwd3B3cHdwd2B3YHdgd1B3UHdAd0B3QHcwdzB3IHcgdxB3AHcAdvB28HbgduB20HbQdsB2wHawdrB2sHagdqB2kHaQdpB2kHaAdoB2gHaAdnB2cHZwdnB2cHZwdnB2cHZwdnB2cHZwdnB2cHZwdnB2cHZwdnB2gHaAdoB2gHaAdoB2gHaAdoB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2kHaQdpB2kHaQdpB6cHpwenB6gHqAeoB6gHqAepB6kHqQeqB6oHqgerB6sHqwesB6wHrAesB60HrQetB60HrQeuB64HrgeuB64HrQetB60HrQetB6wHrAerB6sHqgepB6kHqAenB6YHpQekB6MHogehB6AHnwedB5wHmweZB5gHlgeVB5MHkgeQB44HjQeLB4kHhweGB4QHggeBB38HfQd8B3oHeAd3B3UHcwdyB3AHbwdtB2wHagdpB2gHZgdlB2QHYwdiB2AHXwdeB10HXAdcB1sHWgdZB1kHWAdXB1cHVgdWB1UHVQdUB1QHVAdUB1MHUwdTB1MHUwdTB1MHUgdSB1IHUgdSB1IHUgdSB1IHUgdSB1IHUgdSB1IHUQdRB1EHUQdQB1AHUAdPB08HTgdOB00HTAdLB0sHSgdJB0gHRwdFB0QHQwdBB0AHPgc8BzsHOQc3BzUHMwcxBy4HLAcqBycHJAciBx8HHAcZBxcHFAcRBw4HCwcHBwQHAQb+BvsG9wb0BvEG7gbqBucG5AbgBt0G2gbXBtQG0QbOBssGyAbFBsIGvwa9BroGtwa1BrMGsAauBqwGqganBqUGpAaiBqAGngacBpsGmQaYBpYGlQaTBpIGkQaQBo4GjQaMBosGiQaIBocGhgaEBoMGggaABn8GfQZ8BnoGeQZ3BnUGcwZxBm8GbQZrBmkGZwZkBmIGXwZdBloGVwZUBlEGTgZLBkgGRQZBBj4GOwY3BjQGMAYtBikGJQYhBh4GGgYWBhMGDwYLBgcGBAYABfwF+AX1BfEF7gXqBecF4wXgBd0F2QXWBdMF0AXNBcoFxwXEBcEFvwW8BbkFtwW0BbIFsAWtBasFqQWnBaUFowWhBZ8FnQWbBZkFlwWWBZQFkgWQBY4FjAWLBYkFhwWFBYMFggWABX4FfAV6BXgFdgVzBXEFbwVtBWsFaAVmBWQFYQVfBVwFWgVXBVUFUgVPBUwFSQVHBUQFQQU+BTsFOAU1BTIFLwUsBSkFJgUjBR8FHAUZBRYFEwUQBQ0FCgUHBQQFAQT+BPsE+AT1BPME8ATtBOsE6ATmBOQE4QTfBN0E2wTZBNcE1QTTBNEE0ATOBM0EywTKBMkEyATHBMYExQTEBMQEwwTDBMIEwgTBBMEEwQTABMAEwATABMAEwAS/BL8EvwS/BL8EvwS+BL4EvgS9BL0EvAS7BLoEuQS4BLcEtgS0BLMEsQSvBK0EqgSoBKUEowSgBJ0EmQSWBJIEjgSKBIYEggR9BHkEdARvBGoEZQRgBFsEVgRQBEsERgRBBDsENgQxBCwEJwQiBB0EGAQUBBAEDAQIBAUEAgP/A/wD+gP4A/YD9QP1A/QD9AP1A/YD9wP5A/sD/gQBBAUECQQNBBIEGAQeBCQEKwQyBDkEQQRJBFIEWwRkBG0EdwSBBIsElQSfBKoEtAS/BMkE1ATeBOgE8wT9BQYFEAUaBSMFKwU0BTwFQwVKBVEFVwVdBWIFZwVrBW4FcQV0BXUFdgV3BXcFdgV1BXIFcAVsBWgFZAVeBVkFUgVMBUQFPAU0BSsFIgUYBQ4FAwT4BO0E4QTWBMoEvgSyBKUEmQSMBIAEcwRnBFoETgRBBDUEKQQeBBIEBwP8A/ID5wPdA9QDygPBA7kDsQOpA6IDmwOVA48DigOFA4ADfAN4A3UDcgNwA24DbQNsA2sDawNrA2sDbANtA24DcANyA3QDdwN6A30DgAODA4YDigOOA5IDlgOaA54DogOnA6sDrwO0A7gDvAPAA8UDyQPNA9ED1QPZA90D4QPlA+gD7APvA/ID9QP4A/sD/gQBBAQEBgQJBAsEDQQPBBEEEwQVBBcEGQQaBBwEHQQfBCAEIQQiBCQEJAQmBCcEKAQoBCkEKgQrBCwELAQtBC0ELgQvBC8EMAQwBDEEMQQyBDIEMwQzBDQENAQ0BDUENQQ1BDUENgQ2BDYENgQ2BDcENwQ3BDcENwQ3BDcENwQ3BDcENwQ3BDcENwQ3BDcENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENwQ3BDcEOAQ4BDkEOQQ6BDoEOwQ8BDwEPQQ+BD8EQARBBEIEQwREBEUERwRIBEkESwRMBE4ETwRRBFIEVARWBFcEWQRbBF0EXgRgBGIEZARmBGgEagRsBG4EbwRyBHQEdQR3BHkEewR9BH8EgQSEBIUEiASJBIwEjQSQBJEElASVBJgEmQScBJ0EnwShBKMEpQSnBKkEqwStBK8EsQSzBLUEtgS4BLoEvAS+BMAEwgTDBMUExwTIBMoEzATOBM8E0QTSBNQE1QTXBNgE2gTbBN0E3gTfBOEE4gTjBOQE5gTnBOgE6QTqBOsE7ATtBO8E8ATxBPIE8wT0BPUE9gT3BPgE+QT6BPsE/QT+BP8FAAUBBQMFBAUGBQcFCQUKBQwFDgUQBRIFEwUWBRgFGgUcBR4FIQUjBSYFKQUrBS4FMQU0BTcFOgU9BUEFRAVHBUsFTgVSBVUFWQVdBWAFZAVnBWsFbwVyBXYFegV9BYEFhQWIBYwFjwWTBZYFmQWcBZ8FogWlBagFqwWtBbAFswW1BbcFuQW7Bb0FvwXABcIFwwXFBcYFxwXIBckFyQXKBcsFywXLBcwFzAXMBcwFzAXLBcsFywXLBcoFygXJBckFyAXIBccFxwXGBcUFxQXFBcQFxAXDBcMFwgXCBcIFwQXBBcEFwQXBBcEFwQXCBcIFwgXDBcMFxAXFBcUFxgXHBcgFyQXKBcwFzQXOBdAF0QXTBdQF1gXYBdoF2wXdBd8F4QXjBeUF5wXpBewF7gXwBfIF9AX3BfkF+wX+BgAGAgYFBgcGCQYMBg4GEAYTBhUGGAYaBhwGHwYhBiQGJgYoBisGLQYvBjIGNAY3BjkGOwY+BkAGQgZFBkcGSgZMBk4GUQZTBlYGWAZaBl0GXwZiBmQGZwZpBmwGbgZxBnMGdgZ4BnsGfQaABoMGhQaIBosGjQaQBpMGlQaYBpsGngahBqQGpwaqBq0GsAazBrYGuQa9BsAGwwbHBsoGzgbRBtUG2QbdBuEG5QbpBu0G8Qb2BvoG/gcDBwgHDAcRBxYHGwcgByUHKgcwBzUHOgdAB0UHSwdRB1YHXAdhB2cHbQdzB3gHfgeEB4kHjweUB5oHnwelB6oHrwe0B7kHvgfDB8cHzAfQB9QH2AfcB+AH4wfnB+kH7AfvB/IH9Af2B/gH+Qf7B/wH/Qf+B/4H/gf/B/4H/gf+B/0H/Af7B/oH+Af3B/UH8wfxB+8H7AfqB+gH5QfiB+AH3QfaB9cH1AfRB88HzAfJB8YHwwfAB70Huwe4B7UHswewB64HrAeqB6gHpgekB6IHoQefB54HnQebB5sHmgeZB5gHmAeXB5cHlweXB5cHlweXB5gHmAeYB5kHmgeaB5sHnAedB50HngefB6AHoQeiB6MHpAelB6YHpgenB6gHqQeqB6oHqwesB6wHrQetB64HrgeuB64HrgevB68HrweuB64HrgeuB60HrQetB6wHrAerB6oHqgepB6gHpwenB6YHpQelB6QHoweiB6EHoQegB58HngeeB50HnAecB5sHmweaB5oHmQeZB5kHmQeZB5gHmAeYB5gHmQeZB5kHmQeZB5oHmgebB5sHnAecB50HngeeB58HoAegB6EHogejB6MHpAelB6YHpgenB6gHqQepB6oHqwerB6wHrQetB64HrgeuB68HrwevB68HsAewB7AHsAewB7AHsAewB7AHsAevB68HrwevB68HrgeuB64HrQetB6wHrAesB6sHqwerB6oHqgepB6kHqQeoB6gHqAeoB6gHpwenB6cHpwenB6cHpwenB98H3wffB98H4AfgB+AH4QfhB+EH4gfiB+IH4wfjB+QH5AfkB+UH5QflB+YH5gfmB+YH5gfmB+YH5gfmB+YH5gflB+UH5AfkB+MH4wfiB+EH4QfgB98H3gfdB9wH2wfZB9gH1wfWB9QH0wfSB9AHzwfOB8wHywfJB8gHxgfFB8QHwgfBB78Hvge9B7wHuge5B7gHtwe2B7UHtAezB7IHsQexB7AHrwevB64HrgetB60HrAesB6wHrAerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqgeqB6oHqQepB6kHqAeoB6cHpgemB6UHpAekB6MHogehB6AHnweeB50HmweaB5gHlweWB5QHkgeQB44HjQeLB4gHhgeEB4IHfwd8B3oHdwd0B3EHbgdrB2gHZQdhB14HWgdXB1MHTwdMB0gHRAdABzwHOAc0BzAHLAcoByMHHwcbBxcHEwcPBwsHBwcDBv8G+wb3BvQG8AbtBukG5gbjBuAG3QbaBtgG1QbTBtAGzgbMBsoGyQbHBsUGxAbDBsIGwQbABr8Gvga+Br0GvQa9BrwGvAa8BrwGvAa8BrwGuwa7BrsGuwa7BrsGuga6BroGuQa4BrcGtwa2BrUGswayBrEGrwatBqsGqQanBqQGogafBpwGmQaVBpIGjgaLBocGgwZ+BnoGdgZxBmwGaAZjBl4GWQZUBk8GSQZEBj8GOgY0Bi8GKQYkBh8GGQYUBg8GCgYFBgAF+wX2BfEF7AXnBeMF3gXaBdYF0gXOBcoFxgXCBb4FuwW4BbQFsQWuBasFqAWlBaMFoAWeBZsFmQWWBZQFkgWQBY4FjAWKBYgFhgWEBYIFgAV+BX0FewV5BXcFdgV0BXIFcAVvBW0FawVpBWcFZQVkBWIFYAVeBVwFWgVYBVUFUwVRBU8FTQVLBUgFRgVEBUEFPwU8BToFNwU1BTIFLwUtBSoFJwUkBSEFHgUbBRkFFgUSBQ8FDAUJBQYFAwUABPwE+QT2BPIE7wTsBOgE5QTiBN8E2wTYBNUE0gTOBMsEyATFBMIEvwS8BLoEtwS0BLIErwStBKsEqQSnBKUEowShBKAEngSdBJwEmwSaBJkEmASYBJcElwSWBJYElgSWBJYElgSWBJYElgSWBJYElgSWBJYElgSWBJYElQSVBJUElASTBJIEkQSQBI4EjQSLBIkEhgSEBIEEfgR7BHgEdARwBGwEaARjBF8EWgRVBFAESgRFBD8EOQQ0BC4EKAQiBBwEFgQRBAsEBQQAA/sD9QPxA+wD5wPjA+AD3APZA9YD1APSA9ED0APQA9AD0APRA9MD1QPYA9sD3gPjA+cD7QPzA/kEAAQHBA8EFwQgBCkEMgQ8BEUEUARaBGUEbwR6BIUEkAScBKYEsQS8BMcE0QTbBOUE7wT4BQEFCQURBRkFIAUmBSwFMQU1BTkFPAU/BUEFQgVCBUIFQQU/BTwFOQU1BTAFKwUlBR4FFwUPBQcE/gT0BOoE4ATVBMoEvgSyBKYEmgSNBIAEcwRmBFkETAQ/BDIEJQQYBAwD/wPzA+gD3APRA8YDvAOxA6gDnwOWA44DhgN+A3gDcQNrA2YDYQNdA1kDVgNTA1ADTwNNA0wDTANLA0wDTANNA04DUANSA1QDVgNZA1wDXwNiA2YDaQNtA3EDdQN5A30DgAOEA4gDjAOQA5QDmAOcA58DowOmA6oDrQOwA7MDtgO5A7wDvgPBA8MDxQPHA8kDywPNA84D0APRA9MD1APVA9YD2APZA9oD2gPbA9wD3QPeA98D4APgA+ED4gPjA+QD5QPmA+YD5wPoA+oD6gPsA+0D7gPvA/AD8gPzA/QD9gP3A/gD+gP7A/wD/gP/BAEEAgQEBAUEBwQIBAoECwQMBA4EDwQQBBEEEgQUBBUEFgQXBBgEGAQZBBoEGwQbBBwEHQQdBB4EHgQeBB8EHwQfBCAEIAQgBCAEIAQgBCAEIAQgBCAEIAQgBCAEIAQhBCEEIQQhBCEEIQQhBCIEIgQiBCMEIwQjBCQEJAQlBCYEJgQnBCgEKQQpBCoEKwQsBC0ELgQvBDAEMQQyBDQENQQ2BDcEOAQ6BDsEPAQ9BD8EQARBBEMERARFBEcESARJBEsETARNBE8EUARRBFMEVARVBFcEWARaBFsEXAReBF8EYQRiBGQEZgRnBGkEawRsBG4EcARyBHQEdgR4BHoEfAR/BIEEgwSFBIgEigSNBJAEkgSVBJgEmgSdBKAEowSmBKkEqwSuBLEEtAS3BLoEvQTABMMExgTJBMwEzwTRBNQE1wTZBNwE3wThBOQE5gToBOsE7QTvBPEE8wT1BPcE+QT7BPwE/gUABQEFAwUFBQYFCAUJBQoFDAUNBQ8FEAUSBRMFFQUWBRgFGQUbBR0FHgUgBSIFJAUmBSgFKgUsBS8FMQUzBTYFOQU8BT4FQQVEBUcFSgVOBVEFVAVYBVsFXwVjBWYFagVuBXIFdgV6BX4FggWGBYoFjgWRBZUFmQWdBaEFpQWoBawFsAWzBbYFugW9BcAFwwXGBckFzAXOBdEF0wXVBdcF2QXbBd0F3gXfBeEF4gXjBeQF5QXlBeYF5gXnBecF5wXnBecF5wXnBecF5wXnBeYF5gXmBeUF5QXkBeQF4wXjBeIF4gXiBeEF4QXhBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXhBeEF4QXiBeIF4wXkBeQF5QXmBecF5wXpBekF6gXrBewF7gXvBfAF8QXyBfMF9QX2BfcF+AX6BfsF/AX9Bf8GAAYBBgIGBAYFBgYGCAYJBgoGCwYNBg4GDwYRBhIGEwYVBhYGGAYZBhsGHAYeBh8GIQYjBiUGJgYoBioGLAYuBjAGMgY0BjYGOQY7Bj0GQAZCBkUGSAZKBk0GUAZSBlUGWAZbBl4GYQZkBmcGagZtBnAGcwZ2BnkGfAZ/BoIGhQaIBosGjgaSBpUGmAabBp4GoQakBqYGqgasBq8Gsga1BrgGuwa+BsEGxAbHBsoGzgbRBtQG1wbaBt4G4QblBugG7AbwBvQG+Ab8BwAHBAcJBw0HEgcXBxsHIAcmBysHMAc1BzsHQQdGB0wHUgdYB14HZAdqB3AHdgd9B4MHiQePB5YHnAeiB6gHrge0B7kHvwfFB8oHzwfUB9kH3gfjB+cH6wfvB/MH9gf6B/wH/wgCCAQIBggICAkICggLCAwIDQgNCA0IDQgMCAwICwgKCAgIBwgFCAMIAggAB/0H+wf5B/YH9AfxB+8H7AfpB+YH5AfhB94H3AfZB9cH1AfSB9AHzgfLB8kHyAfGB8QHwwfBB8AHvwe+B70HvQe8B7wHuwe7B7sHuwe7B7sHvAe8B70HvQe+B78HwAfBB8EHwgfEB8UHxgfHB8gHyQfKB8sHzAfNB84HzwfQB9EH0gfTB9QH1QfVB9YH1wfXB9gH2AfYB9gH2QfZB9kH2QfZB9kH2QfYB9gH2AfYB9cH1wfWB9YH1QfVB9QH1AfTB9MH0gfRB9EH0AfQB88HzwfOB84HzgfNB80HzQfNB8wHzAfMB8wHzAfMB80HzQfNB80HzgfOB88HzwfQB9EH0gfSB9MH1AfVB9YH1wfYB9kH2gfbB90H3gffB+AH4QfiB+QH5QfmB+cH6AfpB+oH6wfsB+0H7gfvB/AH8AfxB/EH8gfyB/MH8wfzB/MH8wfzB/MH8wfzB/MH8wfyB/IH8QfxB/AH8AfvB+8H7gftB+wH7AfrB+oH6QfpB+gH5wfmB+YH5QfkB+MH4wfiB+IH4QfhB+AH4AfgB98H3wffB98H3wffB98H3wffCB4IHwggCCEIIggjCCMIJAglCCYIJwgoCCgIKQgqCCoIKwgrCCsILAgsCCwILAgsCCwILAgrCCsIKwgqCCoIKQgoCCcIJgglCCQIIwgiCCAIHwgeCBwIGwgZCBgIFggUCBMIEQgQCA4IDAgLCAkICAgGCAQIAwgCCAAH/wf+B/wH+wf6B/kH+Af3B/cH9gf1B/UH9Af0B/QH9AfzB/MH8wf0B/QH9Af0B/UH9Qf2B/YH9wf3B/gH+Qf5B/oH+wf7B/wH/Qf+B/4H/wgACAAIAQgBCAIIAggCCAIIAwgDCAMIAwgDCAMIAggCCAIIAQgBCAAH/wf/B/4H/Qf8B/sH+gf4B/cH9gf0B/MH8QfwB+4H7AfqB+kH5wflB+MH4QffB90H2gfYB9YH0wfRB88HzAfKB8cHxAfBB78HvAe5B7YHswevB6wHqQemB6IHngebB5cHkwePB4sHhweDB38Hegd2B3IHbQdoB2QHXwdaB1YHUQdMB0cHQgc9BzkHNAcvByoHJgchBxwHGAcTBw8HCwcHBwMG/wb8BvgG9QbxBu4G7AbpBuYG5AbiBuAG3gbdBtsG2gbZBtgG1wbXBtYG1gbWBtYG1wbXBtcG2AbZBtkG2gbbBtwG3QbeBt8G4AbhBuEG4gbjBuQG5AblBuUG5QblBuUG5QbkBuQG4wbiBuAG3wbdBtsG2QbXBtQG0QbOBssGyAbEBsAGvAa4BrQGrwaqBqUGoAabBpUGkAaKBoQGfgZ4BnIGbAZmBl8GWQZTBk0GRgZABjoGMwYtBicGIQYbBhUGDwYJBgQF/gX4BfMF7gXpBeMF3gXaBdUF0AXLBccFwwW+BboFtgWyBa4FqwWnBaMFoAWcBZkFlgWSBY8FjAWJBYYFgwWABX0FegV3BXQFcgVvBWwFaQVnBWQFYQVfBVwFWgVXBVUFUgVQBU4FSwVJBUcFRQVDBUAFPgU8BToFOAU2BTQFMgUwBS8FLQUrBSkFJwUmBSQFIgUgBR8FHQUbBRkFFwUVBRMFEgUPBQ0FCwUJBQYFBAUCBP8E/AT6BPcE9ATxBO4E6gTnBOQE4ATdBNkE1QTRBM4EygTGBMIEvgS6BLYEsgSuBKoEpgSiBJ4EmgSWBJMEjwSMBIgEhQSCBIAEfQR7BHgEdgR0BHIEcQRvBG4EbQRsBGwEawRrBGsEawRrBGsEbARsBG0EbgRvBG8EcARxBHIEcwR0BHQEdQR1BHYEdgR2BHYEdQR1BHQEcwRyBHAEbwRtBGoEaARlBGIEXgRaBFYEUgRNBEgEQwQ+BDgEMwQtBCcEIAQaBBQEDQQHBAED+gP0A+4D6APiA9wD1wPSA80DyQPFA8EDvgO7A7kDtwO2A7UDtQO1A7YDuAO6A70DwAPEA8kDzgPUA9oD4QPpA/ED+QQCBAsEFQQfBCkEMwQ+BEkEVARfBGoEdQSABIsElgShBKsEtQS/BMgE0QTZBOEE6ATvBPUE+gT/BQIFBgUIBQoFCwULBQoFCQUGBQME/wT7BPUE7wToBOEE2ATQBMYEvASyBKcEmwSQBIMEdwRqBF0EUARDBDUEKAQbBA0EAAPzA+YD2QPNA8ADtQOpA54DkwOJA38DdgNtA2UDXQNWA1ADSQNEAz8DOgM2AzMDMAMuAywDKgMpAykDKQMpAyoDKwMsAy4DMAMyAzQDNwM6Az0DQANDA0cDSgNNA1EDVANYA1sDXwNiA2UDaQNsA28DcgN1A3cDegN8A34DgQODA4UDhgOIA4oDiwONA44DjwOQA5EDkgOTA5QDlAOVA5YDlgOXA5gDmAOZA5oDmwObA5wDnQOeA58DoAOhA6IDowOkA6YDpwOpA6oDrAOuA7ADsQOzA7UDuAO6A7wDvgPAA8MDxQPIA8oDzAPPA9ED1APWA9kD2wPeA+AD4gPlA+cD6QPrA+0D7wPxA/MD9QP3A/kD+gP8A/0D/gQABAEEAgQDBAQEBQQFBAYEBwQHBAgECAQIBAgECQQJBAkECQQJBAkECQQJBAgECAQIBAgECAQIBAgECAQIBAcEBwQIBAgECAQIBAgECAQJBAkECgQKBAsECwQMBAwEDQQOBA8EEAQRBBIEEwQUBBUEFgQXBBgEGQQbBBwEHQQeBB8EIQQiBCMEJAQlBCYEKAQpBCkEKwQsBC0ELQQuBC8EMAQxBDIEMgQzBDQENQQ1BDYENwQ4BDgEOQQ6BDsEPAQ9BD4EPwRABEEEQgRDBEUERgRIBEoESwRNBE8EUQRTBFYEWARaBF0EXwRiBGUEaARrBG4EcgR1BHgEfASABIMEhwSLBI4EkgSWBJoEngSiBKYEqgSuBLEEtQS5BL0EwQTEBMgEzATPBNME1gTZBN0E4ATjBOYE6QTsBO4E8QT0BPYE+QT7BP0E/wUCBQQFBgUIBQoFDAUOBQ8FEQUTBRUFFwUZBRsFHQUfBSEFIwUlBScFKQUsBS4FMAUzBTYFOAU7BT4FQQVEBUcFSgVOBVEFVQVYBVwFYAVkBWgFbAVwBXQFeAV9BYEFhQWKBY4FkwWXBZsFoAWkBakFrQWxBbYFugW+BcIFxgXKBc4F0gXWBdkF3QXgBeMF5gXpBewF7gXxBfMF9QX3BfkF+wX8Bf4F/wYABgEGAgYCBgMGAwYEBgQGBAYEBgQGAwYDBgMGAgYCBgEGAAYABf8F/gX9Bf0F/AX7BfoF+gX5BfgF9wX3BfYF9gX1BfQF9AX0BfMF8wXzBfMF8wXzBfMF8wXzBfQF9AX0BfUF9QX2BfYF9wX4BfgF+QX6BfsF+wX8Bf0F/gX/Bf8GAAYBBgIGAgYDBgQGBQYFBgYGBwYHBggGCQYJBgoGCwYLBgwGDAYNBg0GDgYPBg8GEAYRBhEGEgYTBhQGFQYWBhcGGAYZBhoGGwYdBh4GIAYhBiMGJQYnBikGKwYtBjAGMgY0BjcGOgY8Bj8GQgZFBkgGSwZOBlIGVQZYBlsGXwZiBmYGaQZsBnAGcwZ2BnoGfQaABoMGhwaKBo0GkAaTBpYGmAabBp4GoAajBqUGqAaqBq0GrwaxBrMGtQa4BroGvAa+BsAGwwbFBscGygbMBs4G0QbUBtcG2gbdBuAG5AbnBusG7wbzBvcG/AcABwUHCgcQBxUHGwchBycHLQczBzoHQQdHB04HVQddB2QHawdzB3oHggeKB5EHmAegB6cHrwe2B70HxAfLB9EH2AfeB+QH6gfvB/QH+Qf+CAIIBggKCA0IEAgTCBUIGAgZCBsIHAgdCB0IHQgdCB0IHAgbCBoIGQgXCBUIEwgRCA8IDAgKCAcIBAgBB/8H/Af5B/YH8wfxB+4H6wfpB+YH5AfiB+AH3gfcB9oH2QfXB9YH1QfUB9MH0wfTB9IH0gfSB9MH0wfTB9QH1QfWB9cH2AfZB9oH3AfdB94H4AfhB+MH5AfmB+gH6QfrB+wH7gfwB/EH8gf0B/UH9wf4B/kH+gf7B/wH/Qf+B/8IAAgBCAEIAggDCAMIBAgECAQIBQgFCAUIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAcIBwgHCAcIBwgHCAgICAgICAkICQgJCAoICggLCAsIDAgMCA0IDQgOCA8IDwgQCBEIEQgSCBMIEwgUCBUIFggWCBcIGAgYCBkIGggaCBsIGwgcCBwIHQgdCB0IHggeCB4IHggeCB4IHggeCB4IHggeCB4IHggdCB0IHQgcCBwIGwgbCBsIGggaCBkIGQgYCBgIFwgXCBYIFggWCBUIFQgVCBQIFAgUCBQIFAgUCBQIFAgUCBUIFQgVCBYIFggXCBcIGAgZCBkIGggbCBwIHAgdCGgIaghsCG0IbghwCHEIcwh0CHUIdgh3CHcIeAh4CHkIeQh5CHkIeQh5CHkIeQh4CHgIdwh2CHUIdAhzCHIIcQhwCG4IbQhrCGoIaAhnCGUIYwhhCGAIXghcCFsIWQhXCFUIVAhSCFAITwhNCEwISghJCEcIRghFCEQIQghBCEAIPwg/CD4IPQg9CDwIPAg8CDsIOwg7CDsIOwg7CDsIPAg8CDwIPAg9CD0IPgg+CD8IQAhACEEIQQhCCEMIQwhECEQIRAhFCEUIRQhFCEYIRghFCEUIRQhFCEQIRAhDCEIIQQhACD8IPgg9CDsIOgg4CDYINAgyCDAILggsCCoIJwglCCMIIAgdCBsIGAgVCBMIEAgNCAoIBwgFCAIH/wf8B/kH9wf0B/EH7gfrB+kH5gfjB+AH3QfaB9gH1QfSB88HzAfJB8YHwwfAB70HuQe2B7MHrwesB6gHpAegB50HmQeVB5AHjAeIB4QHfwd7B3YHcQdsB2gHYwdeB1kHVAdPB0oHRQdABzsHNwcyBy0HKAckBx8HGwcXBxIHDgcKBwcHAwcABv0G+gb3BvQG8gbvBu0G7AbqBugG5wbmBuUG5QbkBuQG5AbkBuQG5AbkBuUG5gbmBucG6AbpBuoG6wbsBu0G7QbuBu8G8AbxBvEG8gbyBvIG8gbyBvIG8gbxBvEG8AbvBu0G7AbqBugG5gbjBuEG3gbbBtgG1AbQBs0GyAbEBsAGuwa2BrIGrAanBqIGnAaXBpEGiwaGBoAGegZ0Bm4GaAZiBlwGVgZQBkoGRAY+BjgGMgYtBicGIQYcBhYGEQYMBgcGAQX8BfcF8wXuBekF5AXgBdsF1wXSBc4FygXGBcEFvQW5BbUFsQWtBakFpQWhBZ0FmQWVBZEFjQWJBYUFgQV9BXkFdgVyBW4FagVmBWIFXgVbBVcFUwVQBUwFSQVFBUIFPwU8BTkFNgUzBTEFLgUrBSkFJwUlBSMFIQUfBR0FHAUaBRkFFwUWBRUFFAUTBRIFEQUQBQ8FDgUNBQsFCgUJBQgFBwUFBQQFAgUBBP8E/QT7BPgE9gTzBPEE7gTrBOcE5ATgBNwE2QTUBNAEzATIBMMEvgS6BLUEsASrBKYEoQScBJcEkgSOBIkEhASABHsEdwRzBG8EawRoBGQEYQReBFsEWQRXBFUEUwRSBFEEUARPBE8ETgROBE8ETwRQBFAEUQRSBFMEVQRWBFcEWQRaBFsEXQReBF8EYARhBGEEYgRiBGIEYgRhBGAEXwReBFwEWgRYBFUEUgROBEsERwRCBD0EOAQzBC0EKAQhBBsEFQQOBAcEAAP5A/ID7APlA94D1wPRA8sDxQO/A7kDtAOwA6wDqAOlA6IDoAOeA50DnQOdA54DoAOiA6UDqAOtA7EDtwO9A8QDywPTA9wD5APuA/cEAgQMBBcEIgQtBDgEQwROBFoEZQRwBHsEhQSPBJkEogSrBLMEuwTCBMkEzwTTBNgE2wTeBOAE4QThBOAE3gTcBNgE1ATPBMkEwwS7BLMEqgShBJcEjASBBHUEaQRcBFAEQwQ1BCgEGgQMA/8D8QPjA9YDyQO8A68DowOXA4sDgAN1A2sDYQNYA08DRwM/AzgDMQMrAyYDIQMdAxkDFgMUAxIDEAMPAw4DDgMOAw4DDwMQAxEDEgMUAxYDGAMaAxwDHwMhAyQDJgMpAysDLQMwAzIDNAM2AzgDOgM8Az4DPwNBA0IDRANFA0YDRwNIA0kDSgNKA0sDTANMA00DTgNOA08DUANQA1EDUgNTA1QDVQNWA1cDWQNaA1wDXQNfA2EDYgNlA2cDaQNrA20DcANzA3UDeAN7A34DgQOEA4cDigONA5ADkwOWA5oDnQOgA6MDpgOqA60DsAOzA7YDuQO8A78DwgPEA8cDygPMA88D0QPUA9YD2APaA9wD3gPgA+ID4wPlA+cD6APpA+sD7APtA+4D7wPvA/AD8QPxA/ID8gPzA/MD8wPzA/MD8wPzA/MD8wPzA/MD8wPzA/MD8gPyA/ID8gPyA/ED8QPxA/ED8QPxA/ED8QPxA/ED8QPxA/ED8gPyA/ID8wPzA/QD9QP1A/YD9wP3A/gD+QP6A/sD/AP9A/4D/wQABAEEAgQDBAMEBAQFBAYEBwQIBAkECgQLBAsEDAQNBA0EDgQPBA8EEAQQBBEEEQQSBBIEEwQTBBQEFAQVBBUEFgQXBBgEGAQZBBoEGwQcBB0EHwQgBCEEIwQlBCYEKAQqBC0ELwQxBDQENgQ5BDwEPwRCBEYESQRNBFAEVARYBFwEYARkBGgEbARwBHUEeQR9BIIEhgSLBI8EkwSYBJwEoASlBKkErQSxBLUEuQS9BMEExATIBMwEzwTTBNYE2QTdBOAE4wTmBOkE7ATuBPEE9AT2BPkE/AT+BQEFAwUFBQgFCgUNBQ8FEgUUBRcFGQUcBR4FIQUkBScFKgUsBS8FMgU2BTkFPAU/BUMFRgVKBU0FUQVVBVkFXAVgBWQFaQVtBXEFdQV6BX4FggWHBYsFjwWUBZgFnQWhBaYFqgWvBbMFtwW8BcAFxAXIBcwF0AXUBdgF2wXfBeIF5gXpBewF7wXyBfQF9wX5BfsF/gX/BgEGAwYEBgUGBwYIBggGCQYKBgoGCgYKBgoGCgYKBgoGCQYJBggGBwYHBgYGBQYEBgMGAgYBBf8F/gX9BfwF+wX6BfkF+AX3BfYF9QX0BfMF8wXyBfIF8QXxBfAF8AXwBfAF8AXwBfAF8AXxBfEF8gXyBfMF8wX0BfUF9gX2BfcF+AX5BfoF+wX8Bf0F/gX/BgAGAQYCBgMGBAYFBgYGBwYIBggGCQYKBgsGDAYMBg0GDgYPBg8GEAYRBhEGEgYTBhQGFAYVBhYGFwYYBhgGGQYbBhwGHQYeBiAGIQYjBiQGJgYoBioGLAYuBjAGMgY1BjcGOgY9BkAGQwZGBkkGTAZPBlMGVgZZBl0GYQZkBmgGawZvBnMGdgZ6Bn0GgQaEBogGiwaOBpIGlQaYBpsGnQagBqMGpQaoBqoGrQavBrEGswa1BrcGuAa6BrwGvga/BsEGwwbEBsYGyAbKBswGzgbQBtIG1QbXBtoG3QbgBuQG5wbrBu8G9Ab4Bv4HAwcIBw4HFAcbByEHKAcwBzcHPwdHB08HVwdgB2kHcgd7B4QHjQeWB6AHqQeyB7wHxQfOB9cH3wfoB/AH+AgACAcIDwgVCBwIIggoCC0IMgg2CDoIPQhBCEMIRQhHCEgISQhKCEoISQhICEcIRQhECEEIPwg8CDkINggzCC8IKwgoCCQIIAgcCBgIFAgQCAwICQgFCAEH/gf7B/gH9QfzB/AH7gfsB+oH6QfoB+cH5gfmB+YH5gfmB+YH5wfoB+kH6gfrB+0H7gfwB/IH9Af2B/gH+gf8B/8IAQgDCAUICAgKCAwIDwgRCBMIFQgXCBkIGwgdCB4IIAgiCCMIJQgmCCgIKQgqCCwILQguCC8IMAgxCDIIMwg0CDQINQg2CDcIOAg5CDkIOgg7CDsIPAg9CD0IPgg+CD8IQAhACEEIQQhCCEIIQwhDCEQIRAhECEUIRQhFCEUIRghGCEYIRghGCEcIRwhHCEcIRwhHCEcIRwhHCEcIRwhHCEYIRghGCEYIRghGCEYIRghFCEUIRQhFCEUIRQhECEQIRAhECEMIQwhDCEMIQghCCEIIQQhBCEEIQAhACD8IPwg+CD4IPgg9CD0IPAg8CDwIOwg7CDsIOgg6CDoIOgg5CDkIOQg5CDkIOgg6CDoIOgg7CDsIPAg9CD0IPgg/CEAIQQhCCEQIRQhGCEgISQhLCE0ITghQCFIIVAhWCFcIWQhbCF0IXwhhCGMIZQhmCKsIrAiuCK8IsAixCLIIswi0CLQItQi1CLUItQi1CLQItAizCLMIsgixCLAIrwiuCK0IrAirCKoIqQinCKYIpQikCKIIoQigCJ8IngidCJwImwiaCJkImQiYCJcIlwiWCJYIlQiVCJQIlAiUCJMIkwiTCJIIkgiSCJIIkgiSCJEIkQiRCJEIkQiQCJAIkAiQCJAIjwiPCI8IjgiOCI4IjQiNCI0IjAiMCIsIiwiKCIkIiQiICIgIhwiGCIUIhQiECIMIggiBCH8Ifgh9CHwIegh5CHcIdQh0CHIIcAhuCGwIaQhnCGUIYghfCF0IWghXCFQIUQhNCEoIRwhECEAIPQg5CDYIMggvCCsIKAgkCCEIHQgaCBYIEwgPCAwICQgFCAIH/wf8B/kH9gfzB/EH7gfrB+kH5gfjB+EH3gfcB9kH1wfVB9IH0AfNB8sHyAfGB8MHwAe+B7sHuAe1B7IHrwesB6gHpQehB54HmgeWB5IHjgeKB4UHgQd9B3gHcwdvB2oHZQdhB1wHVwdSB00HSQdEBz8HOgc2BzEHLQcoByQHIAccBxgHFAcQBw0HCgcGBwMHAAb+BvsG+Ab2BvQG8gbwBu8G7QbsBusG6QbpBugG5wbmBuYG5QblBuQG5AbkBuQG4wbjBuMG4wbjBuIG4gbhBuEG4AbgBt8G3gbdBtwG2wbaBtkG1wbVBtQG0QbPBs0GywbIBsUGwga/BrwGuQa1BrIGrgaqBqYGogadBpkGlAaQBosGhgaBBnwGdwZyBm0GaAZjBl4GWQZUBk8GSQZEBj8GOgY2BjEGLAYnBiIGHgYZBhUGEAYMBggGBAX/BfsF+AX0BfAF7AXoBeUF4QXeBdoF1gXTBdAFzAXJBcUFwQW+BboFtwWzBbAFrAWoBaQFoAWdBZkFlQWRBY0FiQWFBYEFfAV4BXQFcAVsBWgFZAVgBVwFWAVUBVAFTQVJBUYFQgU/BTwFOQU2BTMFMQUvBSwFKgUoBSYFJAUjBSEFIAUfBR0FHAUbBRoFGQUYBRcFFgUVBRQFEwUSBREFEAUOBQ0FCwUJBQgFBQUDBQEE/gT7BPgE9QTyBO4E6gTmBOIE3gTZBNUE0ATLBMYEwAS7BLYEsASrBKUEoASaBJUEjwSJBIQEfwR5BHQEbwRrBGYEYgRdBFkEVgRSBE8ETARJBEYERARCBEAEPgQ9BDwEOwQ7BDoEOgQ6BDoEOwQ7BDwEPQQ9BD4EPwRABEEEQgRDBEMERARFBEUERQRFBEUERQREBEMEQgRABD8EPQQ6BDcENAQxBC0EKQQkBB8EGgQVBA8ECQQDA/0D9gPvA+gD4QPaA9MDzAPFA74DtwOxA6oDpAOeA5kDkwOPA4oDhgODA4EDfgN9A3wDfAN8A30DfwOCA4UDiQOOA5MDmQOgA6cDrwO3A8ADygPUA94D6QP0A/8ECgQWBCEELQQ4BEQETwRaBGQEbwR4BIIEigSSBJoEoASmBKsEsASzBLYEtwS4BLgEtwS1BLIErgSpBKMEnQSWBI0EhAR7BHEEZgRaBE4EQgQ1BCgEGwQNBAAD8gPkA9YDyQO7A64DoQOUA4gDewNwA2UDWgNQA0cDPgM1Ay0DJgMfAxkDFAMPAwoDBgMDAwAC/gL8AvsC+QL5AvgC+AL4AvkC+QL6AvsC/AL9Av4C/wMAAwEDAgMEAwQDBQMGAwcDBwMIAwgDCAMIAwgDCAMIAwgDBwMHAwcDBgMGAwYDBQMFAwUDBQMFAwUDBQMGAwYDBwMIAwkDCgMMAw4DDwMSAxQDFgMZAxwDHwMiAyYDKQMtAzADNAM4AzwDQANFA0kDTQNRA1YDWgNeA2IDZwNrA28DcwN2A3oDfgOCA4UDiAOLA48DkgOUA5cDmgOcA58DoQOjA6YDqAOqA6wDrgOvA7EDswO0A7YDuAO5A7sDvAO+A78DwQPCA8QDxQPHA8gDyQPLA8wDzgPPA9AD0gPTA9QD1QPWA9gD2QPaA9sD3APdA94D3wPfA+AD4QPiA+ID4wPjA+QD5APkA+UD5QPlA+UD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPlA+UD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPnA+cD5wPnA+cD5wPoA+gD6APpA+kD6QPqA+oD6wPrA+wD7APtA+4D7wPwA/ED8gPzA/UD9gP4A/kD+wP9A/8EAQQEBAYECQQLBA4EEQQUBBgEGwQfBCIEJgQqBC4EMgQ2BDoEPwRDBEgETARRBFYEWgRfBGQEaARtBHIEdwR8BIAEhQSKBI4EkwSXBJwEoASkBKkErQSxBLUEuQS9BMAExATIBMsEzwTSBNUE2ATcBN8E4gTlBOgE6wTuBPEE9AT2BPkE/AT/BQIFBAUHBQoFDQUQBRMFFgUYBRsFHgUhBSQFJwUqBS4FMQU0BTcFOgU9BUAFRAVHBUoFTQVRBVQFVwVaBV4FYQVkBWcFawVuBXEFdAV3BXsFfgWBBYQFhwWLBY4FkQWUBZcFmgWdBaAFowWmBakFrAWvBbEFtAW3BboFvQW/BcIFxQXHBcoFzAXOBdEF0wXVBdcF2QXbBd0F3wXhBeIF5AXlBeYF5wXpBeoF6wXrBewF7QXtBe4F7gXuBe4F7gXuBe4F7gXuBe4F7QXtBe0F7AXsBesF6wXrBeoF6gXqBekF6QXpBekF6AXoBegF6AXoBekF6QXpBeoF6gXrBesF7AXtBe4F7wXwBfEF8gX0BfUF9gX4BfkF+wX8Bf4GAAYBBgMGBQYHBggGCgYMBg0GDwYRBhIGFAYVBhcGGAYaBhsGHQYeBiAGIQYiBiMGJAYlBicGKAYpBioGKwYsBi0GLgYvBjAGMQYyBjMGNAY1BjcGOAY5BjoGPAY9Bj8GQQZCBkQGRgZIBkoGTQZPBlEGVAZWBlkGXAZfBmIGZQZoBmsGbwZyBnYGeQZ9BoEGhAaIBowGkAaTBpcGmwaeBqIGpgapBq0GsAazBrcGuga9BsAGwwbGBskGywbOBtAG0wbVBtcG2gbcBt4G4AbjBuUG5wbpBuwG7gbxBvMG9gb5BvwG/wcDBwcHCwcPBxQHGQceByMHKQcvBzYHPAdEB0sHUwdbB2QHbAd1B38HiAeSB5wHpwexB7wHxwfRB9wH5wfyB/wIBwgSCBwIJggwCDkIQwhLCFQIXAhjCGsIcQh3CH0IggiGCIoIjQiQCJIIkwiUCJQIlAiTCJEIjwiNCIoIhgiCCH4IeQh0CG8IaQhkCF4IWAhSCEwIRQg/CDkIMwgtCCcIIggcCBcIEwgOCAoIBggCB/8H/Af5B/cH9Qf0B/MH8gfyB/IH8gfyB/MH9Af2B/cH+Qf7B/0IAAgCCAUICAgLCA0IEAgTCBYIGQgcCB8IIgglCCgIKggtCDAIMgg0CDcIOQg7CD0IPwhBCEMIRQhGCEgISghLCE0ITghPCFEIUghTCFUIVghXCFgIWghbCFwIXQheCGAIYQhiCGMIZAhmCGcIaAhpCGoIawhsCG0IbghvCHAIcAhxCHIIcwhzCHQIdQh1CHYIdgh3CHcIdwh4CHgIeAh5CHkIeQh5CHoIegh6CHoIegh7CHsIewh7CHwIfAh8CHwIfAh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfAh8CHsIewh6CHoIeQh5CHgIdwh3CHYIdgh1CHQIdAhzCHIIcghxCHEIcAhwCHAIbwhvCG8IbwhwCHAIcAhxCHIIcwh0CHUIdgh3CHkIegh8CH4IgAiBCIQIhgiICIoIjQiPCJEIlAiWCJgImwidCJ8IoQijCKUIpwipCNoI2wjbCNwI3AjdCN0I3AjcCNwI2wjaCNkI2AjXCNYI1QjTCNII0QjPCM4IzAjLCMoIyAjHCMYIxQjFCMQIwwjDCMMIwwjDCMMIxAjFCMYIxwjICMkIygjMCM4IzwjRCNMI1QjXCNkI2wjdCN8I4QjjCOQI5gjoCOkI6wjsCO0I7gjuCO8I7wjwCPAI8AjvCO8I7gjtCOwI6wjqCOkI5wjmCOQI4gjgCN4I3AjaCNcI1QjTCNAIzgjLCMkIxgjDCMEIvgi7CLkItgizCLAIrQiqCKcIpAihCJ4ImwiYCJUIkQiOCIsIhwiECIAIfQh5CHUIcQhuCGoIZghiCF4IWghWCFIITghKCEYIQgg+CDoINggyCC4IKggmCCMIHwgbCBgIFQgRCA4ICwgICAUIAgf/B/wH+Qf2B/QH8QfuB+wH6QfnB+QH4QffB9wH2QfXB9QH0QfOB8sHyAfFB8IHvwe8B7gHtQexB64HqgemB6IHngeaB5YHkQeNB4gHhAd/B3sHdgdxB20HaAdjB14HWgdVB1AHSwdHB0IHPQc5BzQHMAcrBycHIwcfBxsHFwcTBw8HCwcIBwQHAQb9BvoG9wb0BvEG7gbrBugG5gbjBuEG3gbcBtoG2AbWBtMG0QbPBs0GywbKBsgGxgbEBsIGwAa/Br0Guwa5BrcGtga0BrIGsAauBqwGqgaoBqYGpAaiBqAGnQabBpkGlgaTBpEGjgaLBogGhQaCBn8GewZ4BnQGcAZtBmkGZQZhBlwGWAZUBlAGSwZHBkIGPgY5BjQGMAYrBiYGIgYdBhkGFAYQBgsGBwYDBf8F+wX3BfMF7wXsBegF5QXiBd4F2wXYBdUF0wXQBc0FywXIBcYFxAXBBb8FvQW6BbgFtgWzBbEFrwWsBaoFpwWlBaIFnwWcBZoFlwWTBZAFjQWKBYcFgwWABXwFeQV1BXIFbgVrBWcFZAVgBV0FWgVWBVMFUAVNBUoFRwVFBUIFQAU9BTsFOQU3BTQFMwUxBS8FLQUrBSoFKAUnBSUFIwUiBSAFHgUcBRoFGQUWBRQFEgUPBQ0FCgUHBQQFAQT9BPoE9gTyBO4E6gTlBOEE3ATXBNIEzQTIBMIEvQS3BLIErASnBKEEmwSWBJAEigSFBH8EegR1BG8EagRlBGAEXARXBFMETgRKBEYEQwQ/BDwEOAQ1BDMEMAQtBCsEKQQnBCUEJAQjBCEEIAQfBB8EHgQdBB0EHQQcBBwEHAQcBBwEHAQcBBwEHAQcBBsEGwQbBBoEGQQYBBcEFgQUBBMEEQQOBAwECQQGBAID/wP7A/YD8gPtA+gD4gPdA9cD0QPKA8QDvQO2A7ADqQOiA5sDlAOOA4cDgQN7A3UDcANrA2YDYgNeA1sDWQNXA1UDVQNVA1YDVwNZA1wDYANlA2oDcAN2A30DhQOOA5cDoAOqA7QDvwPKA9UD4QPsA/gEAwQPBBoEJQQvBDkEQwRMBFUEXQRkBGoEcAR1BHgEewR9BH4EfgR9BHsEeAR0BG8EagRjBFsEUwRKBEAENQQqBB4EEgQFA/gD6wPeA9ADwgO0A6cDmQOMA38DcgNmA1oDTgNDAzgDLwMlAxwDFAMNAwYC/wL6AvUC8ALsAukC5gLjAuEC4ALfAt4C3QLdAt0C3QLeAt4C3gLfAt8C4ALgAuAC4QLhAuEC4ALgAt8C3gLeAtwC2wLaAtgC1wLVAtMC0QLQAs4CzALKAskCxwLGAsUCwwLDAsICwgLCAsICwwLEAsUCxwLJAssCzgLRAtQC1wLbAuAC5ALpAu0C8wL4Av0DAwMIAw4DFAMaAx8DJQMrAzADNgM7A0ADRQNJA04DUgNWA1oDXgNhA2QDZwNqA2wDbgNwA3IDdAN1A3YDdwN4A3kDegN7A3sDfAN9A30DfgN+A38DgAOBA4IDgwOEA4UDhwOIA4oDjAONA48DkgOUA5YDmQObA54DoQOkA6cDqgOsA7ADswO2A7kDvAO/A8IDxQPHA8oDzQPPA9ID1APXA9kD2wPdA94D4APiA+MD5APlA+YD5wPoA+gD6QPpA+kD6gPqA+oD6QPpA+kD6APoA+cD5wPmA+UD5APkA+MD4gPhA+AD3wPeA94D3QPcA9sD2gPZA9gD2APXA9YD1QPVA9QD1APTA9MD0wPTA9ID0gPSA9MD0wPTA9QD1APVA9YD1wPYA9kD2gPcA90D3wPhA+MD5QPnA+oD7QPvA/ID9QP5A/wEAAQDBAcECwQPBBMEGAQcBCEEJQQqBC8ENAQ5BD0EQwRIBE0EUgRXBFwEYQRnBGwEcQR2BHsEgASEBIkEjgSTBJcEnASgBKUEqQStBLEEtgS5BL0EwQTFBMgEzATQBNME1gTaBN0E4ATkBOcE6gTtBPAE8wT2BPkE/QUABQMFBgUJBQwFDwUSBRUFGQUcBR8FIgUlBSgFKwUvBTIFNQU4BTsFPgVABUMFRgVJBUsFTgVQBVMFVQVXBVkFWwVdBV8FYAViBWQFZQVmBWcFaQVqBWsFbAVsBW0FbgVvBXAFcAVxBXIFcwVzBXQFdQV2BXcFeAV5BXoFewV8BX4FfwWBBYIFhAWGBYcFiQWLBY0FjwWRBZMFlgWYBZoFnAWfBaEFowWmBagFqgWsBa8FsQWzBbUFtwW5BbsFvQW/BcEFwwXEBcYFyAXJBcoFzAXNBc8F0AXRBdMF1AXVBdYF2AXZBdoF2wXdBd4F4AXhBeIF5AXmBecF6QXrBewF7gXwBfIF9AX2BfgF+gX9Bf8GAQYEBgYGCAYLBg0GEAYSBhUGFwYaBhwGHwYhBiQGJgYoBisGLQYvBjEGNAY2BjgGOgY7Bj0GPwZBBkIGRAZGBkcGSAZKBksGTAZNBk4GTwZQBlEGUgZSBlMGVAZUBlUGVgZWBlcGWAZYBlkGWQZaBlsGWwZcBl0GXgZfBmAGYgZjBmQGZgZoBmkGawZtBnAGcgZ0BncGegZ9BoAGgwaGBooGjQaRBpUGmQadBqEGpQaqBq4Gswa3BrwGwAbFBskGzgbTBtcG3AbgBuUG6QbtBvIG9gb6Bv4HAgcGBwoHDgcSBxYHGQcdByEHJQcpBy0HMQc1BzkHPQdCB0YHSwdQB1UHWwdhB2YHbQdzB3oHgQeJB5EHmQehB6oHswe9B8YH0AfbB+UH8Af7CAYIEQgcCCgIMwg+CEoIVQhgCGsIdQiACIoIkwidCKUIrgi1CLwIwwjJCM4I0wjXCNoI3QjfCOAI4AjgCN8I3QjaCNcI0wjPCMoIxAi+CLgIsQipCKEImQiRCIkIgAh4CG8IZgheCFUITQhFCD0INQguCCcIIAgaCBQIDwgKCAUIAQf+B/sH+Af2B/UH9AfzB/MH8wfzB/QH9gf3B/kH+wf+CAEIAwgGCAoIDQgQCBMIFwgbCB4IIgglCCgILAgvCDIINQg5CDwIPghBCEQIRghJCEsITghQCFIIVAhWCFgIWghcCF4IXwhhCGMIZAhmCGcIaQhrCGwIbQhvCHAIcghzCHQIdgh3CHgIeQh6CHwIfQh+CH8IgAiBCIEIggiDCIQIhQiGCIcIhwiICIkIigiKCIsIjAiNCI4IjwiQCJEIkwiUCJYIlwiZCJsInAieCKAIowilCKcIqQisCK8IsQi0CLcIuQi8CL8IwQjECMcIyQjMCM4I0QjTCNUI1wjYCNoI2wjcCN0I3gjfCN8I4AjgCN8I3wjeCN0I3AjbCNoI2QjXCNUI0wjSCNAIzQjLCMoIyAjFCMQIwgjACL4IvQi7CLoIuQi4CLcItwi2CLYItgi2CLcItwi4CLkIugi7CL0IvgjACMEIwwjFCMcIyQjLCMwIzgjQCNII0wjVCNYI2AjZCQMJBAkECQQJBQkFCQUJBAkECQMJAgkBCP8I/gj9CPsI+gj4CPYI9QjzCPII8AjvCO4I7QjsCOsI6wjrCOsI6wjsCO0I7gjwCPEI8wj2CPgI+wj+CQEJBAkICQwJDwkTCRcJGwkfCSMJJwkrCS4JMgk1CTgJOwk+CUAJQglECUYJRwlICUkJSglKCUoJSQlICUcJRglECUIJQAk+CTwJOQk2CTMJMAktCSkJJgkiCR8JGwkXCRQJEAkMCQkJBQkBCP4I+gj2CPMI8AjsCOgI5QjiCN4I2wjXCNMI0AjMCMkIxQjCCL4Iugi2CLIIrgiqCKYIogieCJoIlQiRCI0IiAiECH8Iewh2CHEIbQhoCGQIXwhbCFcIUghOCEoIRQhBCD0IOQg1CDEILQgpCCUIIQgdCBoIFggSCA8ICwgHCAMIAAf8B/gH9AfxB+0H6QflB+EH3QfZB9UH0AfMB8cHwwe+B7oHtQewB6sHpgehB5wHlweSB40HiAeDB34HeQdzB24HaQdkB18HWgdVB1AHSwdGB0EHPAc3BzIHLgcpByUHIAccBxgHEwcPBwsHBwcDBv8G+wb3BvMG7wbrBugG5AbgBt0G2QbVBtIGzgbKBscGwwbABrwGuQa1BrIGrgarBqgGpAahBp4GmwaYBpUGkgaPBowGiQaGBoMGgQZ+BnwGeQZ3BnQGcgZwBm4GbAZqBmgGZQZjBmEGXwZdBlsGWQZXBlUGUwZRBk4GTAZJBkcGRAZBBj4GOwY4BjQGMQYtBikGJQYhBh0GGQYVBhAGDAYHBgIF/gX5BfQF7wXrBeYF4QXdBdgF1AXQBcsFxwXDBb8FvAW4BbUFsgWvBawFqQWmBaQFoQWfBZ0FmwWZBZgFlgWUBZMFkQWQBY4FjAWLBYkFiAWGBYQFgwWBBX8FfQV7BXkFdgV0BXIFbwVsBWoFZwVkBWIFXwVcBVkFVwVUBVEFTwVMBUkFRwVFBUIFQAU+BTwFOgU4BTYFNAUzBTEFLwUuBSwFKwUpBSgFJgUkBSMFIQUfBR0FGwUZBRYFEwURBQ4FCwUHBQQFAAT8BPgE9ATvBOsE5gThBNwE1wTRBMwExgTBBLsEtQSvBKoEpASeBJkEkwSNBIgEggR9BHgEcwRuBGkEZARfBFsEVgRSBE4ESgRGBEIEPgQ7BDcENAQxBC0EKgQnBCQEIQQfBBwEGQQWBBQEEQQPBAwECgQIBAYEAwQCBAAD/gP8A/sD+QP4A/YD9QP0A/MD8gPyA/ED8APwA+8D7wPuA+4D7QPtA+wD6wPrA+oD6QPnA+YD5APiA+AD3gPbA9gD1QPRA80DyQPFA8ADugO1A68DqQOjA5wDlgOPA4gDgQN6A3MDbANlA18DWANSA0wDRwNCAz4DOgM3AzQDMgMwAzADMAMxAzMDNQM5Az0DQgNHA04DVQNcA2UDbgN3A4EDiwOWA6EDrAO3A8IDzgPZA+MD7gP4BAIECwQTBBsEIgQoBC4EMgQ2BDkEOgQ7BDoEOQQ2BDIELgQoBCEEGgQRBAgD/gP0A+gD3QPQA8QDtgOpA5sDjgOAA3MDZQNYA0sDPwMzAycDHAMRAwcC/gL1Au0C5QLeAtgC0wLOAsoCxwLEAsECvwK+Ar0CvQK8Ar0CvQK9Ar4CvwK/AsACwQLCAsICwgLDAsMCwgLCAsECwAK/Ar0CuwK5ArcCtQKyAq8CrAKqAqcCpAKhAp4CmwKZApcClQKTApECkAKPAo8CjwKPApACkQKTApUCmAKbAp8CowKoAqwCsgK3Ar0CwwLKAtAC1wLeAuUC7ALzAvoDAQMIAw4DFQMbAyEDJwMsAzEDNgM7Az8DQgNGA0kDSwNOA1ADUQNTA1QDVANVA1UDVQNVA1UDVQNUA1QDUwNTA1IDUgNRA1EDUQNRA1EDUgNSA1MDVANVA1cDWANbA10DXwNiA2UDaANrA24DcgN2A3oDfgOCA4YDiwOPA5MDmAOcA6EDpQOqA64DsgO2A7oDvgPCA8YDyQPNA9AD0wPVA9gD2wPdA98D4QPjA+UD5gPnA+kD6gPrA+sD7APsA+0D7QPtA+0D7QPtA+wD7APsA+sD6wPqA+kD6QPoA+cD5gPmA+UD5APjA+MD4gPhA+AD4APfA94D3gPdA90D3QPcA9wD3APcA9wD3APcA9wD3QPdA94D3gPfA+AD4QPiA+MD5QPmA+gD6gPrA+4D8APyA/QD9wP5A/wD/wQCBAUECAQLBA8EEgQVBBkEHQQhBCQEKQQtBDEENQQ5BD0EQQRGBEoETgRTBFcEWwRgBGQEaQRtBHIEdgR6BH8EgwSHBIwEkASUBJgEnQShBKUEqQStBLEEtQS4BLwEwATEBMgEywTPBNME1gTaBN4E4QTlBOgE7ATwBPME9wT6BP4FAQUFBQkFDAUQBRMFFgUaBR0FIQUkBScFKgUtBTAFMwU2BTkFPAU+BUAFQwVFBUcFSQVKBUwFTQVPBVAFUAVRBVIFUgVTBVMFUwVTBVMFUgVSBVEFUQVQBU8FTwVOBU0FTAVMBUsFSgVKBUkFSQVJBUgFSAVIBUgFSQVJBUoFSwVMBU0FTgVPBVEFUgVUBVYFWAVaBV0FXwVhBWQFZwVpBWwFbwVyBXUFdwV6BX0FgAWDBYYFiAWLBY4FkQWTBZYFmQWbBZ4FoAWjBaUFqAWqBa0FrwWyBbQFtwW5BbwFvgXBBcQFxwXJBcwFzwXSBdUF2AXbBd8F4gXlBekF7AXwBfMF9wX7Bf4GAgYFBgkGDQYRBhQGGAYcBh8GIwYmBioGLQYxBjQGNwY6Bj0GQAZDBkYGSAZLBk4GUAZSBlQGVgZYBloGXAZeBl8GYQZiBmMGZAZlBmYGZwZoBmgGaQZpBmoGagZqBmoGagZqBmoGagZqBmoGagZqBmoGaQZpBmkGaQZpBmkGaQZpBmoGagZqBmsGbAZsBm0GbwZwBnIGcwZ1BncGeQZ8Bn8GggaFBogGjAaPBpMGmAacBqEGpgarBrAGtga7BsEGxwbNBtMG2gbgBuYG7Qb0BvoHAQcHBw4HFAcbByEHKAcuBzUHOwdBB0cHTQdTB1kHXwdkB2oHcAd1B3sHgAeGB4wHkQeXB50HoweoB68HtQe7B8IHyQfQB9cH3gfmB+4H9gf/CAcIEAgZCCMILAg2CEAISghVCF8IaQh0CH4IiAiSCJwIpgiwCLkIwgjLCNMI2wjiCOgI7gj0CPkI/QkACQMJBQkGCQcJBgkFCQMJAQj9CPkI9AjvCOkI4gjbCNMIywjCCLkIsAimCJwIkgiICH4IdAhqCGAIVghNCEMIOggyCCoIIggbCBQIDggICAMH/gf6B/cH9AfxB/AH7gftB+0H7QfuB+8H8AfyB/QH9wf5B/wH/wgDCAYICggOCBIIFggaCB4IIggmCCoILggyCDYIOgg+CEIIRQhJCEwIUAhTCFcIWghdCGAIYwhmCGkIbAhvCHEIdAh2CHkIewh+CIAIggiECIYIhwiJCIsIjAiOCI8IkAiRCJIIkgiTCJQIlAiUCJUIlQiVCJUIlQiVCJUIlQiVCJUIlQiVCJYIlgiXCJcImAiZCJsInQieCKAIowilCKgIrAivCLMItwi7CMAIxQjKCM8I1QjbCOAI5gjtCPMI+Qj/CQYJDAkSCRgJHgkkCSoJLwk0CTkJPQlBCUUJSAlLCU4JUAlRCVMJUwlUCVMJUwlSCVAJTglMCUkJRglDCT8JPAk3CTMJLwkqCSYJIQkcCRgJEwkPCQsJBgkCCP4I+wj4CPUI8gjvCO0I6wjqCOkI6AjoCOcI5wjoCOgI6QjqCOsI7QjuCPAI8gjzCPUI9wj5CPsI/Aj+CP8JAQkCCTkJOwk9CT4JPwlACUAJQAlBCUAJQAk/CT8JPgk8CTsJOgk4CTcJNgk0CTMJMQkwCS8JLgkuCS0JLQktCS0JLgkuCTAJMQkzCTUJNwk5CTwJPwlCCUYJSQlNCVEJVQlZCV0JYQllCWgJbAlwCXMJdgl5CXwJfgmACYIJhAmFCYYJhwmHCYcJhgmFCYQJgwmBCX8JfQl7CXgJdQlyCW8JbAloCWUJYQleCVoJVglSCU8JSwlICUQJQAk9CToJNgkzCTAJLQkpCSYJIwkgCR0JGQkWCRMJEAkMCQkJBQkCCP4I+gj2CPII7QjpCOQI4AjbCNYI0QjMCMcIwQi8CLYIsQirCKUIoAiaCJQIjgiJCIMIfQh4CHIIbQhnCGIIXQhXCFIITQhICEMIPgg6CDUIMAgsCCcIIggeCBkIFAgQCAsIBwgCB/0H+AfzB+4H6QfkB98H2QfUB88HyQfDB74HuAeyB6wHpgegB5oHlAeOB4gHggd8B3YHcAdqB2QHXgdYB1MHTQdHB0IHPAc3BzIHLQcoByIHHgcZBxQHDwcLBwYHAgb9BvkG9QbxBuwG6AbkBuAG3AbYBtQG0AbMBsgGxAbABrwGtwazBq8GqwanBqMGngaaBpYGkgaNBokGhQaBBnwGeAZ0BnAGawZnBmMGXwZbBlgGVAZQBk0GSQZGBkMGQAY9BjoGNwY1BjMGMAYuBiwGKgYpBicGJQYkBiIGIQYfBh4GHQYbBhoGGAYXBhUGEwYRBg8GDQYLBgkGBgYDBgAF/QX6BfcF8wXvBesF5wXjBd8F2gXWBdEFzQXIBcMFvwW6BbUFsQWsBagFowWfBZsFlwWTBY8FjAWIBYUFggV/BX0FegV4BXYFcwVxBW8FbgVsBWoFaAVnBWUFYwVhBWAFXgVcBVoFWAVVBVMFUQVOBUwFSQVGBUMFQQU+BTsFOAU1BTIFLwUsBSoFJwUkBSIFHwUdBRsFGQUYBRYFFQUUBRMFEgURBREFEAUQBRAFEAUQBRAFEAUPBQ8FDwUPBQ8FDgUNBQwFCwUKBQgFBgUEBQEE/wT8BPgE9ATwBOwE5wTjBN0E2ATTBM0ExwTBBLsEtQSuBKgEogScBJUEjwSJBIQEfgR4BHMEbgRpBGQEXwRbBFcEUwRPBEsESARFBEIEPwQ8BDkENgQ0BDEELgQsBCkEJgQkBCEEHgQbBBgEFQQSBA8ECwQIBAQEAQP9A/kD9gPyA+8D6wPnA+QD4QPeA9sD2APVA9MD0APOA80DywPJA8gDyAPHA8YDxgPGA8YDxgPGA8cDxwPIA8gDyAPIA8gDyAPIA8cDxgPFA8QDwgO/A70DuQO2A7IDrQOoA6MDnQOXA5EDigOCA3sDcwNsA2QDXANUA0wDRAM9AzYDLwMoAyIDHQMYAxQDEAMOAwwDCwMKAwsDDAMPAxIDFgMbAyEDKAMvAzcDQANKA1QDXgNpA3QDfwOKA5YDoQOsA7cDwQPLA9UD3gPmA+0D8wP5A/4EAQQEBAYEBgQFBAMEAAP8A/cD8QPqA+ID2QPQA8UDugOvA6IDlgOJA3sDbgNhA1MDRgM5AywDHwMTAwcC/ALyAugC3gLWAs4CxwLAArsCtgKxAq4CqwKpAqcCpgKlAqUCpQKlAqYCpgKnAqgCqgKqAqsCrAKtAq0CrgKtAq0CrAKrAqoCqAKmAqQCoQKfApwCmAKVApECjQKJAoYCggJ+AnsCeAJ0AnICbwJtAmsCagJpAmkCaQJqAmsCbQJvAnICdgJ6An4CgwKIAo4ClAKbAqICqQKwArcCvwLHAs4C1gLdAuUC7ALzAvoDAAMHAw0DEgMYAxwDIQMlAykDLAMvAzEDMwM1AzYDNwM4AzkDOQM5AzkDOQM4AzgDNwM3AzYDNgM1AzUDNQM1AzUDNgM2AzcDOAM5AzsDPAM+A0ADQwNGA0gDTANPA1IDVgNaA14DYgNmA2oDbgNzA3cDewOAA4QDiQONA5EDlQOZA50DoQOlA6gDrAOvA7MDtgO5A7wDvwPBA8QDxgPIA8sDzQPPA9ED0gPUA9UD1wPYA9oD2wPcA90D3gPfA+AD4QPiA+MD4wPkA+UD5QPmA+YD5wPnA+gD6APoA+kD6QPpA+oD6gPqA+oD6wPrA+sD7APsA+0D7QPuA+4D7wPvA/AD8QPxA/ID8wP0A/UD9gP3A/gD+QP6A/sD/AP+A/8EAAQCBAMEBAQGBAcECQQKBAwEDQQPBBAEEgQUBBUEFwQYBBoEHAQdBB8EIQQjBCUEJwQpBCsELQQvBDEENAQ2BDkEPAQ+BEEERARHBEoETgRRBFUEWARcBF8EYwRnBGsEbwRzBHgEfASABIQEiQSNBJIElgSaBJ8EowSoBKwEsAS1BLkEvQTBBMYEygTOBNIE1QTZBN0E4QTkBOgE6wTvBPIE9QT4BPsE/gUBBQQFBwUKBQwFDgURBRMFFQUXBRkFGwUdBR8FIAUiBSMFJAUlBSYFJwUoBSkFKQUqBSoFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUsBSwFLAUtBS4FLgUvBTAFMQUzBTQFNgU3BTkFOwU9BT8FQQVDBUUFSAVKBU0FTwVSBVQFVwVZBVwFXgVhBWMFZQVoBWoFbAVuBXAFcgV0BXYFeAV6BXsFfQV/BYEFgwWEBYYFiAWKBYwFjgWQBZMFlQWYBZoFnQWgBaMFpgWpBa0FsAW0BbgFvAXABcUFyQXNBdIF1wXcBeAF5QXqBe8F9AX5Bf4GAwYIBg0GEgYWBhsGIAYkBikGLQYxBjUGOQY9BkAGRAZHBkoGTQZQBlMGVgZYBloGXAZeBmAGYgZjBmQGZgZnBmgGaQZqBmoGawZrBmsGbAZsBmwGbAZsBmwGbAZsBmwGawZrBmsGawZqBmoGagZqBmoGagZqBmoGagZqBmoGawZrBmwGbQZuBm8GcAZyBnMGdQZ3BnkGfAZ/BoIGhQaIBowGkAaUBpgGnQaiBqcGrAayBrgGvgbEBssG0gbZBuAG5wbvBvYG/gcGBw4HFgceByYHLgc3Bz8HRwdPB1cHXwdnB28Hdwd/B4YHjQeVB5wHoweqB7AHtwe9B8QHygfQB9YH3AfiB+gH7gfzB/kH/wgFCAsIEQgXCB0IJAgqCDEINwg+CEUITQhUCFwIYwhrCHMIewiCCIoIkgiaCKIIqgiyCLkIwAjHCM4I1AjaCN8I5AjpCO0I8AjzCPUI9wj3CPgI9wj2CPQI8QjuCOoI5QjgCNoI0wjMCMUIvQi0CKsIogiZCI8Ihgh8CHIIaAhfCFUITAhCCDoIMQgpCCEIGggTCA0IBwgBB/0H+Qf1B/IH7wftB+wH6wfqB+sH6wfsB+4H7wfxB/QH9wf6B/0IAQgFCAkIDQgRCBYIGggfCCQIKQgtCDIINwg8CEEIRghLCFAIVQhaCF8IZAhpCG4Icwh4CH0IgQiGCIsIkAiUCJgInQihCKUIqQisCLAIswi2CLkIvAi/CMEIwwjECMYIxwjICMkIyQjJCMkIyQjJCMgIyAjHCMYIxQjECMMIwgjBCMEIwAi/CL8Ivwi/CMAIwQjCCMMIxQjICMoIzQjRCNUI2QjeCOQI6QjvCPYI/QkECQsJEwkbCSMJKwk0CTwJRQlNCVYJXglmCW4Jdgl9CYQJiwmRCZcJnAmhCaUJqQmsCa4JsAmxCbIJsgmyCbAJrwmsCakJpgmiCZ4JmQmUCY4JiAmCCXwJdQlvCWgJYQlaCVQJTQlHCUEJOwk1CTAJKwkmCSIJHgkaCRcJFQkSCREJDwkPCQ4JDgkPCQ8JEQkSCRQJFgkYCRoJHQkgCSIJJQkoCSsJLgkwCTMJNQk3CYAJggmECYYJiAmJCYoJiwmMCYwJjAmMCYsJiwmKCYkJhwmGCYUJgwmCCYAJfwl9CXwJewl6CXkJeAl4CXcJdwl3CXcJeAl5CXoJewl8CX4JgAmBCYMJhQmICYoJjAmOCZEJkwmVCZcJmQmaCZwJnQmeCZ8JoAmgCaAJoAmgCZ8JngmdCZsJmgmYCZYJkwmRCY4JiwmJCYYJgwmACX0Jegl3CXQJcQluCWsJaAlmCWMJYQleCVwJWglYCVYJVAlRCU8JTQlLCUkJRwlFCUIJQAk9CToJNwk0CTAJLAkoCSQJIAkbCRYJEAkLCQUI/wj4CPII6wjkCN0I1gjOCMcIvwi4CLAIqQihCJoIkgiLCIQIfQh2CG8IaAhiCFsIVQhPCEkIRAg+CDkIMwguCCkIJAggCBsIFggRCA0ICAgDB/8H+gf1B/AH6wfnB+EH3AfXB9IHzAfHB8EHvAe2B7AHqgekB54HmAeSB4wHhgeAB3oHdAduB2gHYgdcB1cHUQdLB0YHQAc7BzUHMAcrByYHIQccBxcHEgcNBwgHBAb/BvoG9gbxBu0G6AbkBt8G2wbWBtEGzQbIBsQGvwa7BrYGsQatBqgGowaeBpoGlQaQBosGhgaBBnwGdwZyBm0GaAZjBl4GWQZUBk8GSgZFBkAGOwY2BjIGLQYoBiQGHwYbBhcGEwYPBgsGBwYEBgAF/QX6BfcF9AXyBe8F7QXrBekF5wXlBeQF4gXhBd8F3gXcBdsF2QXYBdYF1AXSBdEFzwXNBcoFyAXFBcIFwAW9BbkFtgWzBa8FqwWnBaQFoAWbBZcFkwWPBYsFhwWDBX8FfAV4BXQFcQVuBWsFaAVlBWIFYAVdBVsFWQVXBVUFVAVSBVAFTwVNBUsFSgVIBUYFRAVCBUAFPgU7BTgFNgUzBS8FLAUoBSUFIQUdBRkFFQURBQwFCAUEBQAE/AT4BPQE8ATtBOoE5wTkBOIE4ATeBNwE2wTaBNoE2QTaBNoE2wTcBN0E3gTgBOEE4wTkBOYE6ATpBOsE7ATtBO4E7wTvBO8E7wTvBO0E7ATqBOgE5QTjBN8E2wTXBNMEzgTJBMQEvwS5BLMErQSnBKEEmwSVBJAEigSEBH8EeQR0BG8EagRmBGIEXgRaBFcEUwRQBE4ESwRIBEYERARCBEAEPgQ8BDoEOAQ2BDMEMQQuBCwEKQQmBCMEHwQbBBgEEwQPBAoEBgQBA/sD9gPxA+sD5gPgA9sD1QPQA8sDxgPBA7wDuAOzA68DrAOoA6YDowOhA58DnQOcA5sDmwObA5sDmwObA5wDnQOeA58DoAOhA6EDogOiA6MDowOiA6EDoAOfA5wDmgOXA5MDjwOLA4YDgAN6A3MDbANlA10DVQNNA0UDPQM0AywDJAMcAxQDDAMGAv8C+QL0Au8C7ALpAucC5QLlAuYC5wLqAu0C8gL3Av4DBQMNAxUDHwMpAzMDPgNJA1UDYQNtA3gDhAOPA5oDpQOvA7gDwAPIA88D1QPaA94D4QPjA+MD4wPhA94D2gPVA88DyAPAA7gDrgOkA5kDjQOBA3UDaANcA08DQgM1AykDHAMQAwUC+gLvAuUC3ALUAswCxAK+ArgCswKvAqsCqAKlAqMCogKhAqACoAKgAqACoAKhAqICogKiAqMCowKjAqMCogKhAqACngKcApoCmAKVApECjgKKAoYCggJ+AnkCdQJwAmwCZwJjAl8CWwJXAlQCUQJPAk0CTAJLAkoCSwJLAk0CTgJRAlQCVwJbAmACZQJqAnACdgJ8AoMCigKRApgCnwKmAq0CtQK7AsICyQLPAtYC3ALhAuYC6wLwAvQC+AL7Av8DAQMEAwYDCAMKAwsDDAMNAw4DDwMPAxADEAMQAxEDEgMSAxMDFAMVAxYDFwMYAxoDHAMeAyADIgMlAycDKgMuAzEDNAM4AzsDPwNDA0YDSgNOA1IDVgNaA14DYQNlA2kDbANwA3MDdgN6A30DgAODA4YDiAOLA40DkAOSA5UDlwOZA5sDngOgA6IDpAOmA6gDqgOsA64DsAOyA7QDtgO4A7oDvAO+A8ADwQPDA8UDxwPJA8oDzAPOA88D0QPSA9QD1QPWA9gD2QPaA9sD3APdA94D3wPgA+ED4gPjA+QD5QPmA+cD6APpA+oD6wPsA+0D7gPvA/ED8gPzA/QD9gP3A/gD+gP7A/wD/gP/BAAEAQQCBAMEBAQFBAYEBwQIBAgECQQJBAoECgQKBAoECgQKBAoECgQKBAoECgQJBAkECQQJBAkECQQKBAoECgQLBAwEDQQOBA8EEQQTBBUEFwQZBBwEHwQiBCUEKQQtBDAENQQ5BD0EQgRGBEsEUARVBFoEXwRkBGkEbgRyBHcEfASABIUEiQSOBJIElgSZBJ0EoQSkBKcEqgStBLAEsgS1BLcEuQS7BL0EvwTABMIExATFBMcEyATJBMsEzATNBM8E0ATRBNME1ATWBNcE2ATaBNsE3QTeBOAE4QTjBOUE5gToBOoE7ATtBO8E8QTzBPUE9wT5BPsE/QUABQIFBAUHBQkFDAUOBREFFAUXBRoFHAUfBSMFJgUpBSwFLwUyBTUFOAU8BT8FQgVFBUgFSgVNBVAFUgVVBVcFWQVbBV0FXwVgBWIFYwVlBWYFZwVoBWkFaQVqBWsFbAVtBW0FbgVvBXAFcQVyBXMFdQV2BXgFegV8BX8FgQWEBYcFigWNBZAFlAWYBZwFoAWkBakFrQWyBbcFvAXBBcYFzAXRBdYF2wXhBeYF6wXwBfYF+wYABgUGCgYPBhMGGAYcBiEGJQYpBi0GMQY0BjgGOwY+BkEGRAZHBkoGTAZOBlEGUwZUBlYGWAZZBlsGXAZdBl4GXwZgBmAGYQZhBmIGYgZiBmMGYwZjBmQGZAZkBmQGZQZlBmYGZgZnBmgGaAZpBmoGawZtBm4GcAZyBnMGdQZ4BnoGfAZ/BoIGhQaIBosGjwaTBpYGmwafBqMGqAasBrEGtga7BsEGxgbMBtIG2AbeBuQG6wbxBvgG/wcGBw0HFAccByMHKwcyBzoHQgdKB1IHWgdiB2oHcgd6B4IHigeSB5kHoQepB7AHtwe/B8YHzQfTB9oH4AfnB+0H8wf4B/4IAwgJCA4IEwgYCB0IIggnCCwIMAg1CDoIPghDCEgITQhSCFcIXAhhCGYIawhwCHYIewiACIYIiwiQCJYImwigCKQIqQitCLEItQi5CLwIvgjACMIIwwjECMQIxAjDCMIIwAi9CLoItgiyCK0IqAiiCJwIlgiPCIcIgAh4CHAIaAhgCFgIUAhJCEEIOQgyCCsIJAgeCBgIEggNCAgIBAgBB/0H+wf4B/cH9gf1B/UH9Qf2B/cH+Af6B/wH/wgCCAUICQgMCBAIFAgZCB0IIggmCCsIMAg1CDsIQAhFCEsIUQhWCFwIYghoCG4IdAh7CIEIhwiOCJUImwiiCKkIrwi2CL0IwwjKCNAI1wjdCOMI6QjuCPMI+Qj9CQIJBgkKCQ0JEQkUCRYJGAkaCRwJHQkeCR4JHwkfCR8JHwkeCR4JHgkdCR0JHQkcCRwJHAkdCR0JHgkfCSEJIwklCScJKgkuCTIJNgk7CUAJRQlLCVEJVwleCWUJbAl0CXsJgwmLCZIJmgmiCaoJsQm4Cb8JxgnMCdIJ2AndCeIJ5gnqCe4J8AnzCfUJ9gn2CfYJ9gn1CfMJ8QnuCesJ5wnjCd4J2QnUCc4JyAnCCbwJtQmuCacJoAmaCZMJjAmFCX8JeQlyCW0JZwliCV0JWQlVCVEJTglLCUkJRwlGCUUJRAlECUUJRglHCUgJSglNCU8JUglVCVgJWwlfCWIJZglqCW0JcQl0CXcJegl9CcwJzQnPCdAJ0gnSCdMJ0wnTCdMJ0gnSCdEJzwnOCc0JywnJCccJxQnDCcEJvwm9CbsJuQm3CbYJtAmzCbEJsAmvCa4JrQmtCawJrAmsCawJrAmsCawJrQmtCa0JrQmuCa4JrgmuCa4JrgmuCa0JrQmsCasJqgmpCacJpQmjCaEJnwmdCZoJmAmVCZMJkAmNCYoJhwmECYIJfwl8CXoJdwl1CXIJcAluCWwJawlpCWgJZgllCWQJYglhCWAJXwleCV0JXAlaCVkJVwlVCVMJUQlOCUsJSAlFCUEJPQk4CTMJLgkoCSIJHAkVCQ4JBgj/CPcI7wjmCN4I1QjNCMQIuwiyCKoIoQiYCJAIhwh/CHcIcAhoCGEIWghTCE0IRghACDoINQgvCCoIJQggCBwIFwgTCA4ICggGCAEH/Qf5B/QH8AfsB+cH4wfeB9kH1AfPB8oHxQfAB7sHtQewB6sHpQefB5oHlAePB4kHhAd/B3kHdAdvB2kHZAdfB1oHVQdQB0sHRgdCBz0HOAczBy8HKgclByAHGwcXBxIHDQcIBwMG/gb5BvQG7gbpBuQG3gbZBtMGzgbIBsMGvQa4BrIGrQanBqIGnAaXBpEGjAaGBoEGfAZ2BnEGawZmBmEGWwZWBlAGSwZGBkAGOgY1BjAGKgYkBh8GGQYUBg4GCQYDBf4F+AXzBe4F6QXkBd8F2gXVBdEFzAXIBcQFwAW8BbkFtQWyBa8FqwWoBaYFowWgBZ4FmwWZBZYFlAWRBY8FjAWKBYcFhAWBBX4FewV4BXUFcgVuBWsFaAVkBWAFXQVZBVUFUgVOBUoFRwVEBUAFPQU6BTcFNQUyBTAFLgUsBSsFKQUoBSYFJQUkBSQFIwUiBSIFIQUhBSAFHwUeBR0FHAUbBRkFFwUVBRMFEQUOBQsFBwUEBQAE/AT4BPME7wTqBOUE4ATbBNYE0QTMBMgEwwS/BLoEtwSzBLAErQSqBKgEpgSlBKMEowSiBKIEowSkBKUEpgSnBKkEqwStBK8EsQSzBLUEtwS5BLsEvAS9BL4EvwS/BMAEvwS/BL4EvQS7BLkEtwS0BLEErgSrBKcEowSfBJsElwSSBI4EiQSFBIEEfAR4BHQEcARsBGkEZQRiBF8EXARZBFcEVARSBFAETgRNBEsESQRIBEYERQRDBEIEQAQ+BDwEOgQ4BDUEMwQwBC0EKQQlBCEEHQQZBBQEDwQJBAQD/gP4A/ID6wPlA94D1wPQA8kDwwO8A7UDrwOoA6IDnAOXA5EDjAOHA4MDfwN7A3gDdQNyA3ADbwNtA2wDawNrA2sDawNrA2sDbANsA2wDbQNtA20DbQNtA2wDawNqA2gDZgNkA2EDXQNZA1QDUANKA0QDPgM3AzADKQMiAxoDEgMLAwMC+wL0Au0C5gLfAtkC1ALPAssCxwLFAsMCwgLDAsMCxQLIAswC0QLXAt0C5QLtAvYC/wMJAxQDHwMqAzYDQQNNA1kDZANvA3oDhAONA5YDngOlA6wDsQO1A7gDuwO8A7wDuwO5A7UDsQOsA6YDnwOXA48DhgN8A3IDZwNcA1EDRgM7AzADJQMaAw8DBQL7AvIC6QLhAtkC0gLLAsUCwAK7ArcCswKwAq4CqwKqAqgCpwKmAqUCpAKkAqMCogKhAqACnwKeApwCmwKYApYCkwKRAo0CigKGAoICfgJ5AnQCcAJrAmYCYQJdAlgCVAJPAksCSAJEAkECPwI9AjsCOgI5AjkCOQI6AjsCPQI/AkICRQJJAk0CUQJWAlsCYAJmAmsCcQJ2AnwCggKIAo4CkwKYAp4CowKoAqwCsQK1ArgCvAK/AsICxQLHAskCywLNAs8C0ALRAtIC1ALVAtYC1wLYAtkC2gLbAtwC3gLgAuEC4wLlAugC6gLtAvAC8wL2AvoC/QMBAwQDCAMMAxADFAMYAxwDIAMlAykDLAMwAzQDOAM7Az8DQgNGA0kDTANPA1IDVQNXA1oDXANfA2EDZANmA2gDawNtA28DcgN0A3YDeQN7A34DgAODA4YDiAOLA44DkAOTA5YDmQObA54DoQOjA6YDqAOrA60DrwOxA7MDtQO3A7kDugO8A70DvgO/A8ADwQPCA8MDwwPEA8UDxQPFA8YDxgPHA8cDxwPIA8gDyQPJA8oDywPLA8wDzQPOA88D0APRA9ID1APVA9YD2APZA9oD3APdA94D4APhA+ID4wPkA+UD5gPnA+gD6APpA+kD6QPpA+kD6QPpA+gD6APnA+YD5gPlA+UD5APjA+ID4gPhA+ED4QPhA+ED4QPhA+ID4wPkA+UD5wPpA+sD7QPwA/MD9gP5A/0EAQQFBAkEDQQSBBYEGwQgBCQEKQQuBDMENwQ8BEAERQRJBE0EUARUBFcEWwRdBGAEYwRlBGcEaQRqBGwEbQRuBG8EbwRwBHEEcQRyBHIEcgRzBHMEcwR0BHQEdQR1BHYEdwR4BHkEewR8BH0EfwSBBIMEhQSHBIkEjASOBJEEkwSWBJkEnASfBKIEpQSoBKwErwSyBLYEuQS9BMAExATHBMsEzwTTBNcE2gTeBOIE5gTqBO8E8wT3BPsE/wUDBQcFCwUPBRMFFwUbBR8FIwUmBSoFLQUxBTQFNwU6BTwFPwVBBUQFRgVIBUoFTAVOBVAFUgVUBVUFVwVZBVsFXAVeBWAFYgVkBWYFaQVrBW4FcAVzBXYFeQV8BX8FggWGBYkFjQWQBZQFmAWcBaAFpAWoBawFsAW0BbcFuwW/BcMFxwXLBc8F0gXWBdoF3gXhBeUF6QXsBfAF9AX3BfsF/wYCBgYGCQYNBhEGFAYYBhsGHwYiBiUGKQYsBi8GMgY1BjgGOgY9Bj8GQgZEBkYGSAZKBksGTQZPBlAGUQZSBlMGVAZVBlYGVwZYBlkGWgZcBl0GXgZgBmEGYwZlBmcGaQZsBm4GcQZ0BngGewZ/BoIGhgaLBo8GlAaYBp0GoganBqwGsga3BrwGwgbHBs0G0gbYBt0G4wboBu4G8wb4Bv4HAwcJBw4HEwcZBx4HIwcpBy4HMwc5Bz8HRAdKB1AHVQdbB2EHZwdtB3MHegeAB4YHjAeTB5kHoAemB6wHswe5B78HxgfMB9IH2AfdB+MH6QfuB/MH+Af9CAIIBwgLCBAIFAgZCB0IIQglCCkILQgxCDQIOAg8CEAIRAhICEwIUAhUCFgIXAhgCGQIaAhsCG8Icwh3CHoIfgiBCIQIhwiJCIsIjQiOCI8IkAiQCJAIjwiOCI0IiwiICIYIggh/CHsIdwhyCG0IaAhjCF0IWAhSCE0IRwhCCD0IOAgzCC4IKggmCCMIIAgdCBsIGQgXCBYIFggWCBYIFwgYCBoIHAgeCCEIIwgnCCoILggyCDYIOgg+CEMIRwhMCFAIVQhaCF8IZAhpCG8IdAh5CH8IhQiKCJAIlwidCKMIqgixCLgIvwjGCM4I1QjdCOUI7Aj0CPwJBAkMCRQJHAkkCSsJMwk6CUEJRwlOCVQJWglfCWQJaQltCXEJdQl5CXwJfwmBCYQJhgmICYoJjAmOCZAJkgmTCZYJmAmaCZ0JoAmjCaYJqgmuCbIJtwm8CcEJxgnMCdIJ2AneCeUJ6wnyCfgJ/woGCgwKEgoYCh4KJAopCi4KMgo3CjoKPQpACkIKRApFCkYKRgpGCkUKRApCCkAKPQo6CjcKMwovCioKJgohChsKFgoQCgoKBQn/CfkJ8wntCecJ4QnbCdUJzwnKCcUJvwm7CbYJsQmtCakJpQmiCZ4JmwmZCZcJlAmTCZEJkAmQCY8JjwmPCZAJkQmSCZMJlQmXCZkJmwmeCaEJpAmnCaoJrQmwCbMJtgm5CbwJvwnCCcUJxwnKChYKFgoXChcKFwoXChcKFgoVChMKEgoQCg4KDAoJCgcKBAoBCf4J+wn4CfUJ8gnvCewJ6gnnCeQJ4QnfCd0J2gnYCdYJ1QnTCdIJ0AnPCc4JzQnMCcsJygnJCcgJxwnGCcUJxAnDCcIJwQm/Cb4JvAm7CbkJtwm1CbIJsAmuCasJqAmlCaMJoAmdCZoJlwmTCZAJjQmKCYcJhAmBCX8JfAl5CXcJdQlyCXAJbglsCWoJaAlnCWUJYwlhCWAJXglcCVoJWQlXCVUJUglQCU0JSglHCUQJQAk8CTgJMwkuCSkJJAkeCRgJEgkLCQQI/Qj1CO4I5gjeCNYIzgjGCL0ItQitCKUInQiVCI4Ihgh/CHgIcQhqCGQIXQhXCFEITAhGCEEIPAg3CDMILggqCCUIIQgdCBgIFAgQCAsIBwgCB/0H+Qf0B+8H6gfkB98H2QfUB84HyAfDB70HtwexB6sHpQefB5kHlAeOB4gHgwd9B3gHcgdtB2gHYwdeB1kHVAdQB0sHRgdCBz0HOAc0By8HKgclByAHGwcWBxAHCwcFBwAG+gb0Bu4G6AbiBtsG1QbPBsgGwga8BrUGrwapBqIGnAaWBpAGigaEBn4GeQZzBm4GaAZjBl4GWQZTBk4GSQZEBj8GOgY1BjAGKgYlBiAGGwYVBhAGCgYEBf8F+QXzBe0F5wXhBdsF1QXPBckFwgW9BbcFsQWrBaYFoAWbBZYFkAWLBYcFggV+BXkFdQVxBW0FaQVlBWEFXQVaBVYFUgVPBUsFRwVDBUAFPAU4BTQFMAUsBScFIwUfBRsFFgUSBQ4FCgUFBQEE/QT6BPYE8gTvBOwE6QTmBOME4QTfBN0E3ATaBNkE2ATYBNcE1wTWBNYE1gTWBNYE1gTWBNYE1gTWBNUE1QTUBNME0gTQBM4EzATKBMgExQTCBL8EuwS4BLQEsASsBKgEpASgBJwEmASUBJAEjASIBIUEggR/BHwEegR4BHYEdARzBHIEcQRwBHAEbwRvBG8EcARwBHEEcQRyBHIEcwRzBHQEdAR0BHUEdQR1BHQEdARzBHMEcgRxBHAEbwRtBGwEagRoBGcEZQRjBGEEXwRdBFsEWQRXBFUEUwRSBFAETgRMBEsESQRIBEYERQRDBEIEQQQ/BD4EPQQ7BDoEOQQ4BDYENQQ0BDIEMQQwBC4ELAQrBCkEJwQlBCMEIQQeBBwEGQQWBBMEDwQLBAcEAwP/A/oD9QPwA+oD5APeA9gD0QPLA8QDvQO2A64DpwOgA5gDkQOKA4MDfAN1A28DaQNjA10DWANTA08DSwNHA0QDQgM/Az0DOwM6AzkDOQM4AzgDOAM3AzcDNwM3AzcDNwM2AzUDNAMyAzADLgMrAycDIwMfAxsDFQMQAwoDBAL9AvYC7wLoAuEC2gLTAswCxQK/ArkCswKuAqoCpgKjAqECoAKgAqACogKkAqcCrAKxArcCvgLFAs4C1wLgAuoC9QMAAwoDFQMhAysDNgNBA0sDVANdA2YDbQN0A3oDfwODA4YDiQOKA4oDiQOHA4UDgQN8A3cDcQNrA2MDXANUA0sDQwM6AzEDKAMfAxYDDgMFAv0C9QLuAucC4QLaAtUC0ALLAscCwwK/ArwCuQK2ArQCsQKvAq0CqwKpAqcCpQKiAqACnQKbApgClQKRAo4CigKGAoICfQJ5AnQCcAJrAmYCYgJdAlkCVAJQAkwCSAJFAkICPwI8AjoCOQI4AjcCNgI2AjcCOAI5AjoCPAI/AkECRAJIAksCTwJSAlYCWwJfAmMCZwJrAm8CcwJ3AnsCfwKCAoUCiQKLAo4CkQKTApUClwKYApoCmwKcAp0CngKfAqACoAKhAqICogKjAqQCpAKlAqYCqAKpAqoCrAKuArACsgK1ArcCugK9AsACwwLHAsoCzgLSAtYC2QLdAuEC5QLpAu0C8QL1AvkC/QMBAwQDCAMMAw8DEwMWAxkDHAMfAyMDJgMpAywDLwMyAzUDOAM7Az4DQQNFA0gDSwNPA1IDVQNZA10DYANkA2gDawNvA3IDdgN6A30DgQOEA4cDiwOOA5EDkwOWA5kDmwOdA58DoQOjA6QDpgOnA6gDqQOpA6oDqwOrA6sDqwOrA6sDqwOrA6oDqgOqA6kDqQOoA6gDqAOnA6cDpwOnA6cDpgOmA6YDpgOnA6cDpwOnA6gDqAOpA6oDqgOrA6wDrQOuA68DrwOwA7EDsgOzA7QDtQO1A7YDtwO4A7gDuQO5A7oDugO6A7sDuwO7A7sDuwO8A7wDvAO8A7wDvAO9A70DvgO/A78DwAPBA8MDxAPFA8cDyQPLA80D0APSA9UD2APaA94D4QPkA+cD6wPuA/ID9QP4A/wD/wQCBAUECAQLBA0EEAQSBBQEFgQYBBkEGwQcBB0EHgQeBB8EHwQgBCAEIAQgBCAEIAQhBCEEIQQhBCEEIgQjBCMEJAQlBCYEJwQpBCoELAQuBDAEMgQ0BDcEOQQ8BD4EQQREBEcESgRMBE8EUgRVBFgEWwRdBGAEYwRmBGkEawRuBHEEdAR3BHoEfQSABIMEhgSKBI0EkQSUBJgEnASgBKQEqQStBLEEtgS7BL8ExATJBM4E0wTYBN0E4gTnBOwE8QT2BPsFAAUEBQkFDgUSBRcFHAUgBSUFKQUuBTIFNwU7BUAFRAVJBU0FUgVWBVsFXwVkBWgFbQVxBXYFegV+BYIFhgWKBY4FkQWVBZgFmwWeBaEFowWlBagFqQWrBa0FrgWvBbEFsgWzBbQFtAW1BbYFtwW5BboFuwW8Bb4FwAXCBcQFxgXJBcwFzwXSBdYF2QXdBeEF5QXpBe4F8gX3BfsGAAYEBgkGDQYRBhUGGQYdBiEGJAYoBisGLgYwBjMGNQY3BjkGOwY9Bj4GPwZBBkIGRAZFBkYGSAZJBksGTQZPBlEGVAZXBloGXQZgBmQGaAZsBnEGdgZ7BoAGhgaLBpEGmAaeBqQGqgaxBrcGvgbEBssG0QbXBt0G4wbpBu8G9Ab5Bv4HAwcIBw0HEQcVBxkHHQchByQHKAcrBy8HMgc1BzgHPAc/B0MHRgdKB00HUQdVB1oHXgdiB2cHbAdxB3YHeweAB4YHiweRB5cHnAeiB6gHrge0B7kHvwfEB8oHzwfVB9oH3wfkB+kH7gfyB/cH+wgACAQICAgNCBEIFQgZCB0IIggmCCoILwgzCDcIPAhACEUISQhOCFIIVghbCF8IYwhnCGsIbghyCHUIdwh6CHwIfgh/CIAIgQiBCIEIgQiACH8IfQh7CHkIdwh1CHIIbwhtCGoIZwhkCGIIXwhdCFsIWghYCFcIVghWCFYIVghXCFkIWghcCF8IYQhlCGgIbAhvCHMIeAh8CIEIhQiKCI8IkwiYCJ0IoQimCKsIrwi0CLkIvQjCCMYIywjQCNUI2gjfCOQI6gjwCPYI/AkCCQkJEAkXCR4JJgkuCTYJPglGCU8JVwlgCWgJcQl5CYEJiQmRCZkJoAmoCa4JtQm7CcEJxwnMCdEJ1gnbCd8J4wnnCesJ7wnzCfYJ+gn+CgIKBgoLCg8KFAoZCh4KJAoqCjAKNwo+CkUKTApTClsKYgpqCnIKeQqBCogKjwqWCp0KowqoCq0Ksgq1CrkKuwq9Cr4Kvgq+Cr0Kuwq4CrUKsQqsCqcKoQqbCpQKjQqFCn0KdQptCmQKXApTCksKQgo6CjIKKgoiChsKFAoNCgcKAQn7CfYJ8QntCekJ5QniCd8J3QnbCdkJ1wnWCdUJ1QnUCdQJ1AnUCdUJ1QnWCdcJ2AnaCdsJ3QneCeAJ4gnkCeYJ6QnrCe4J8AnzCfUJ+An7Cf0KAAoDCgUKCAoKCgwKDgoQChIKEwoVClsKWwpbClsKWwpaClgKVwpVClIKUApNCkkKRgpCCj4KOgo2CjIKLgopCiUKIAocChgKFAoQCgwKCQoFCgIJ/wn8CfkJ9wn1CfMJ8QnvCe0J7AnqCekJ5wnmCeUJ4wniCeEJ3wneCdwJ2wnZCdcJ1QnTCdEJzwnNCcoJxwnFCcIJvwm8CbkJtgmzCbAJrAmpCaUJogmeCZsJlwmUCZAJjAmJCYUJgQl+CXoJdwlzCXAJbAloCWUJYQleCVoJVwlUCVAJTAlJCUUJQgk+CToJNgkyCS4JKgkmCSEJHQkYCRMJDgkJCQMI/gj4CPMI7QjnCOEI2gjUCM4IyAjBCLsItAiuCKgIogicCJYIkAiKCIQIfwh5CHQIbwhqCGUIYAhbCFcIUghNCEkIRAhACDsINggxCCwIKAgiCB0IGAgSCAwIBggAB/oH9AftB+YH4AfZB9IHywfEB70HtQeuB6cHoAeZB5IHjAeFB34HeAdyB2sHZQdfB1oHVAdOB0kHQwc+BzkHMwcuBykHIwceBxgHEwcNBwgHAgb8BvYG8AbpBuMG3QbWBs8GyQbCBrsGtAatBqYGoAaZBpIGjAaFBn8GeAZyBmwGZgZgBlsGVQZQBksGRgZBBjwGNwYyBi4GKQYlBiAGHAYXBhIGDQYJBgQF/wX6BfUF7wXqBeUF3wXZBdMFzQXIBcEFuwW1Ba8FqQWjBZ0FlwWRBYsFhQV/BXkFcwVuBWkFYwVeBVkFVAVPBUoFRgVBBT0FOAU0BS8FKwUmBSIFHgUZBRUFEAULBQcFAgT9BPgE8wTuBOkE5ATfBNoE1QTQBMsExgTBBLwEtwSzBK4EqgSmBKIEngSbBJcElASRBI8EjASKBIgEhwSFBIQEggSBBIAEgAR/BH8EfgR9BH0EfQR8BHwEewR6BHkEeQR4BHcEdQR0BHMEcQRvBG4EbARqBGgEZgRkBGIEXwRdBFsEWQRXBFUEUwRRBE8ETQRLBEoESARGBEUEQwRCBEAEPwQ9BDwEOwQ5BDgENgQ1BDMEMQQwBC4ELQQrBCkEKAQmBCQEIwQhBCAEHwQdBBwEHAQbBBoEGQQZBBkEGQQZBBkEGQQZBBoEGgQbBBsEHAQcBBwEHAQdBB0EHQQcBBwEGwQbBBoEGQQYBBYEFQQUBBIEEAQPBA0ECwQKBAgEBwQFBAQEAwQCBAEEAAQABAAD/wP/A/8D/wP/A/8D/wP/A/8D/gP9A/wD+wP5A/cD9APxA+0D6APkA94D2APSA8sDwwO7A7MDqgOhA5gDjwOFA3wDcgNpA18DVgNOA0UDPgM2Ay8DKQMjAx4DGgMWAxMDEAMOAwwDCwMLAwsDCwMLAwwDDAMNAw4DDgMPAw8DDwMOAw0DDAMKAwcDBAMAAvwC9wLyAuwC5gLfAtgC0QLJAsECugKyAqoCowKcApUCjwKKAoUCgQJ9AnsCeQJ5AnkCegJ9AoAChQKKApACmAKgAqgCsgK8AsYC0QLcAugC8wL+AwoDFQMfAykDMwM8A0QDTANSA1gDXQNhA2MDZQNmA2YDZQNkA2EDXgNaA1UDUANKA0QDPQM2Ay8DKAMhAxoDEwMMAwUC/gL4AvIC7ALnAuIC3QLYAtQC0ALMAskCxQLCAr8CuwK4ArUCsgKuAqsCpwKjAp8CmwKXApMCjgKJAoQCfwJ6AnUCcAJrAmYCYAJbAlcCUgJNAkkCRQJBAj4COwI4AjYCNAIyAjECMAIwAjACMAIxAjICMwI0AjYCOAI6Aj0CQAJCAkUCSAJLAk4CUQJUAlcCWgJdAmACYgJlAmcCagJsAm4CcAJyAnMCdAJ2AncCeAJ5AnoCegJ7AnsCfAJ8An0CfQJ9An4CfgJ/An8CgAKBAoICgwKEAoUChwKIAooCjAKOApACkwKVApgCmwKeAqECpAKoAqsCrgKyArUCuQK9AsACxALHAssCzgLSAtYC2QLcAuAC4wLnAuoC7QLxAvQC+AL7Av4DAgMFAwkDDAMQAxQDGAMbAx8DIwMnAysDLwMzAzcDOwM/A0MDRwNKA04DUgNWA1kDXQNgA2MDZgNpA2wDbwNyA3QDdwN5A3sDfQN/A4EDgwOFA4YDiAOJA4oDjAONA44DjwOQA5ADkQOSA5IDkgOTA5MDkwOTA5IDkgORA5EDkAOPA44DjgONA4sDigOJA4gDhgOFA4QDgwOCA4EDfwN+A34DfQN8A3wDewN7A3sDewN7A3sDfAN9A30DfgN/A4ADggODA4QDhgOHA4kDigOMA44DkAORA5MDlQOXA5gDmgOcA50DnwOhA6IDpAOlA6cDqAOqA6sDrAOuA68DsQOyA7MDtQO2A7cDuQO6A7sDvAO9A78DwAPBA8IDwwPEA8UDxQPGA8cDxwPIA8gDyQPJA8oDygPKA8sDywPLA8wDzAPMA80DzQPOA88D0APRA9ID0wPUA9YD1wPZA9sD3QPfA+ID5APnA+oD7QPvA/ID9QP4A/sD/gQBBAQEBwQKBAwEDwQRBBQEFgQYBBoEHAQeBB8EIQQiBCQEJQQnBCgEKQQrBCwELgQwBDIENAQ2BDgEOwQ+BEEERARIBEwEUARUBFkEXgRjBGgEbQRzBHkEfwSFBIsEkQSXBJ4EpASrBLEEuAS/BMUEzATSBNkE4ATmBO0E8wT6BQEFBwUOBRQFGwUhBSgFLgU1BTsFQgVIBU4FVAVaBV8FZQVqBW8FcwV4BXwFfwWDBYYFiAWLBYwFjgWPBZAFkAWQBZAFkAWPBY4FjQWMBYsFigWJBYcFhwWGBYUFhQWFBYUFhQWGBYcFiQWLBY4FkAWTBZcFmwWfBaQFqAWtBbMFuAW+BcMFyQXPBdUF2gXgBeUF6wXwBfUF+QX+BgIGBgYJBg0GEAYTBhUGGAYaBhsGHQYfBiAGIQYjBiQGJQYmBigGKQYrBi0GLwYxBjMGNgY5BjwGPwZDBkgGTAZRBlYGWwZhBmcGbQZ0BnoGgQaJBpAGlwaeBqYGrQa1BrwGwwbKBtEG2AbfBuUG6wbxBvcG/AcBBwYHCwcPBxMHFwcbBx8HIgclBygHKwcuBzEHMwc2BzkHPAc/B0IHRQdIB0sHTwdTB1cHWwdgB2QHaQduB3MHeQd+B4QHigePB5UHmwehB6cHrgezB7kHvwfFB8sH0AfWB9sH4QfmB+sH8Qf2B/sIAAgECAkIDggTCBkIHggjCCgILQgzCDgIPghECEoIUAhWCFwIYghoCG4IdAh5CH8IhQiKCI8IlAiZCJ0IoQilCKgIqwitCLAIsQizCLQItQi2CLYItwi3CLcItwi3CLcItwi3CLgIuAi5CLoIuwi9CL8IwQjECMcIygjNCNEI1QjZCN4I4gjnCOwI8Qj1CPoI/wkECQgJDQkRCRUJGQkdCSEJJAkoCSsJLgkxCTUJOAk7CT4JQglFCUkJTQlSCVYJWwlhCWYJbAlzCXkJgQmICY8JlwmfCagJsAm4CcEJyQnSCdoJ4gnqCfIJ+QoACgcKDgoUChoKIAolCikKLgoyCjcKOgo+CkIKRQpJCkwKUApUClgKXApgCmUKagpvCnQKegqACoYKjQqUCpsKogqpCrAKuAq/CsYKzQrUCtoK4ArmCusK7wrzCvYK+Ar6CvsK+wr6CvkK9grzCu8K6grlCt4K1wrQCsgKwAq3Cq4KpAqbCpEKhwp9CnQKagphClgKUApICkAKOAoxCisKJQogChsKFwoTChAKDQoLCgkKBwoGCgYKBQoFCgUKBgoHCgcKCAoKCgsKDAoOCg8KEQoTChUKFwoZChsKHQofCiEKJAomCikKKwouCjEKMwo2CjkKPAo/CkIKRQpICkoKTQpQClIKVApWClgKWQpaCpMKkwqTCpMKkgqQCo4KjAqJCoYKggp+CnkKdApvCmoKZApfClkKUwpOCkgKQgo9CjgKMwouCikKJQohCh0KGgoWChQKEQoOCgwKCgoICgYKBQoDCgIKAAn/Cf0J/An6CfkJ9wn1CfMJ8QnvCe0J6wnoCeYJ4wngCd0J2gnXCdQJ0QnOCcoJxwnECcAJvQm5CbUJsgmuCaoJpgmiCZ4JmgmWCZIJjgmJCYUJgQl8CXcJcwluCWkJZQlgCVsJVwlSCU0JSAlECT8JOgk2CTEJLQkoCSQJHwkaCRYJEQkNCQgJBAj/CPoI9gjxCOwI5wjiCN0I2AjTCM4IyAjDCL4IuAizCK4IqAijCJ4ImAiTCI4IiQiECH4IeQh0CG8IaghlCGAIWghVCFAISwhFCEAIOgg0CC8IKQgjCBwIFggQCAkIAgf7B/QH7QfmB98H2AfQB8kHwQe6B7IHqwejB5wHlQeNB4YHfwd4B3EHagdjB10HVgdQB0kHQwc8BzYHMAcpByMHHQcXBxEHCgcEBv4G9wbxBuoG5AbdBtYG0AbJBsIGuwa1Bq4GpwagBpkGkgaMBoUGfgZ4BnEGawZlBl4GWAZSBkwGRwZBBjsGNgYwBisGJgYhBhsGFgYRBgwGBwYCBf0F+AXzBe4F6QXjBd4F2QXTBc4FyQXDBb0FuAWyBa0FpwWhBZsFlgWQBYoFhQV/BXkFdAVuBWkFYwVeBVgFUwVOBUgFQwU+BTkFNAUvBSoFJQUgBRsFFwUSBQ0FCAUDBP4E+gT1BPAE6wTmBOEE3ATXBNIEzQTIBMMEvgS5BLMErgSpBKQEngSZBJQEjwSJBIQEfwR6BHUEcARrBGYEYgRdBFkEVQRQBEwESQRFBEIEPgQ7BDgENQQzBDAELgQsBCoEKAQmBCQEIwQiBCAEHwQeBB0EHAQbBBoEGgQZBBgEGAQXBBYEFgQVBBUEFAQUBBQEEwQTBBMEEgQSBBEEEQQQBBAEDwQPBA4EDQQMBAsECgQIBAcEBQQDBAID/wP9A/sD+AP2A/MD8APuA+sD6QPmA+QD4QPfA94D3APaA9kD2QPYA9gD2APYA9kD2gPbA9wD3gPgA+ID4wPlA+cD6QPrA+wD7gPvA+8D8APwA/AD7wPuA+0D6wPqA+cD5QPiA+AD3QPaA9cD1QPSA9ADzgPMA8sDygPJA8kDygPLA8wDzgPQA9MD1gPZA90D4APkA+gD6wPuA/ED9AP2A/cD+AP4A/cD9QPyA+8D6gPlA94D1wPPA8YDvAOxA6YDmwOOA4IDdgNpA10DUANEAzgDLQMiAxgDDwMGAv8C+ALyAu0C6ALlAuIC4ALfAt8C3wLfAuAC4gLjAuUC5gLoAukC6wLrAuwC6wLrAuoC6ALlAuIC3gLZAtQCzgLIAsECugKyAqoCogKaApECiQKBAnoCcwJsAmYCYQJdAlkCVwJVAlUCVgJYAlsCXwJkAmoCcQJ6AoMCjQKXAqMCrgK7AscC1ALhAu0C+gMGAxEDHAMnAzADOQNBA0gDTgNTA1cDWgNcA1wDXANbA1kDVgNSA04DSQNDAz0DNwMwAyoDIwMcAxUDDwMIAwIC/AL2AvAC6wLmAuIC3QLZAtUC0gLOAsoCxwLDAsACvAK5ArUCsQKsAqgCowKeApkCkwKOAogCgQJ7AnUCbgJoAmECWwJUAk4CSAJCAjwCNgIxAi0CKAIkAiECHQIbAhgCFgIVAhQCEwISAhICEwITAhQCFQIWAhgCGQIbAh0CHwIhAiMCJQInAikCKwItAjACMgI0AjYCOAI6AjwCPgJAAkICQwJFAkYCSAJKAksCTAJNAk8CUAJRAlICUwJUAlUCVgJXAlcCWAJZAloCWwJcAl0CXgJfAmECYgJkAmYCaAJqAmwCbgJxAnMCdgJ5AnwCfwKCAoUCiQKMApACkwKXApoCngKiAqUCqQKsArACswK3AroCvQLBAsQCxwLLAs4C0QLUAtgC2wLeAuEC5QLoAusC7gLyAvUC+AL7Av4DAgMFAwgDCwMOAxEDFAMXAxkDHAMeAyEDIwMmAygDKwMtAy8DMQM0AzYDOAM7Az0DPwNCA0QDRwNKA0wDTwNSA1UDWANbA14DYQNjA2YDaQNrA20DcANyA3QDdQN2A3cDeAN4A3kDeAN4A3cDdgN1A3MDcQNvA20DagNoA2UDYgNfA1wDWgNXA1QDUgNPA00DSwNJA0gDRwNGA0UDRQNFA0UDRgNHA0gDSQNLA00DTwNSA1QDVwNaA10DYANjA2cDagNtA3ADcwN2A3oDfAN/A4IDhAOGA4kDigOMA44DjwOQA5EDkgOSA5MDkwOTA5IDkgORA5EDkAOPA44DjAOLA4oDiAOHA4UDhAOCA4EDgAN+A30DfAN7A3oDegN5A3kDeQN5A3kDeQN6A3oDewN9A34DgAOBA4MDhgOIA4oDjQOQA5MDlgOaA50DoAOkA6cDqwOvA7IDtgO5A7wDwAPDA8YDyQPMA84D0QPTA9UD1wPZA9oD3APdA94D3wPhA+ED4gPjA+QD5QPmA+cD6QPqA+wD7gPwA/ID9QP4A/sD/gQCBAYECgQPBBQEGQQeBCQEKQQvBDUEOwRCBEgETgRVBFsEYgRoBG8EdQR7BIIEiASOBJUEmwShBKcErgS0BLoEwQTHBM0E1ATaBOEE5wTuBPUE+wUBBQgFDgUVBRsFIQUmBSwFMQU2BToFPwVDBUYFSQVMBU8FUQVTBVQFVQVWBVYFVgVWBVYFVgVVBVUFVQVUBVQFVAVUBVQFVAVVBVYFVwVZBVoFXQVfBWIFZgVpBW0FcQV2BXsFfwWFBYoFjwWVBZoFoAWlBasFsAW2BbsFwAXFBcoFzwXTBdgF3AXgBeMF5wXqBe0F8AXzBfUF+AX6BfwF/gYABgIGBAYFBgcGCQYLBgwGDgYQBhMGFQYYBhoGHQYhBiQGKAYsBjAGNQY6BkAGRQZLBlIGWQZgBmcGbwZ3Bn8GhwaPBpgGoQaqBrMGvAbFBs0G1gbfBucG8Ab4BwAHBwcPBxYHHAcjBykHLwc0BzoHPwdDB0gHTAdQB1QHWAdbB18HYwdmB2oHbQdxB3UHeQd9B4EHhgeKB48HlAeZB58HpAeqB7AHtge8B8IHyAfPB9UH2wfhB+cH7QfzB/kH/wgECAoIDwgUCBoIHwgkCCkILQgyCDcIPAhBCEYITAhRCFcIXAhiCGkIbwh2CHwIgwiKCJIImQihCKgIsAi4CL8IxwjOCNUI3AjjCOoI8Aj2CPsJAAkFCQoJDgkSCRUJGQkcCR8JIgkkCScJKQksCS4JMQkzCTYJOQk8CT8JQwlGCUoJTglSCVYJWwlfCWQJaAltCXEJdQl5CX0JgQmFCYgJiwmNCZAJkgmTCZUJlgmXCZgJmAmZCZoJmgmbCZsJnAmdCZ8JoQmjCaUJqAmsCbAJtAm5Cb4JxAnKCdEJ1wnfCeYJ7gn2Cf4KBgoOChYKHQolCiwKMwo6CkAKRgpLClEKVQpZCl0KYQpkCmcKaQprCm0KbwpxCnMKdAp2CngKeQp7Cn0KgAqCCoUKiAqLCo4KkgqWCpoKngqiCqYKqgquCrIKtgq6Cr0KwArDCsYKxwrJCsoKywrLCsoKyQrHCsUKwgq/CrwKtwqzCq4KqQqjCp0KlwqRCosKhQp/CnkKcwptCmgKYwpeClkKVQpRCk4KSwpICkYKRApCCkEKQQpACkAKQApBCkEKQgpDCkQKRQpGCkgKSQpKCksKTApNCk4KTwpQClEKUgpTClMKVApVClYKVwpZCloKWwpdCl8KYQpjCmUKaAprCm0KcApzCnYKegp9CoAKgwqGCokKiwqNCo8KkQqSCrYKtgq1CrQKsgqwCq0KqgqmCqIKnQqYCpMKjQqHCoEKegp0Cm0KZwpgCloKVApOCkkKQwo+CjoKNQoxCi4KKwooCiUKIwogCh8KHQobChoKGAoXChUKFAoSChAKDwoNCgoKCAoFCgMJ/wn8CfkJ9gnyCe4J6wnnCeMJ3wnbCdcJ0wnPCcsJyAnECcAJvQm5CbYJswmvCawJqQmlCaIJnwmcCZgJlQmSCY4JigmHCYMJfwl7CXcJcwlvCWoJZgliCV4JWQlVCVAJTAlHCUMJPgk5CTUJMAksCScJIgkdCRkJFAkPCQoJBQj/CPoI9QjvCOoI5AjeCNkI0wjNCMcIwQi6CLQIrgioCKIInAiVCI8IiQiDCH0IdghwCGoIZAheCFcIUQhLCEQIPgg3CDEIKggjCB0IFggPCAgIAQf6B/MH7AfmB98H2AfQB8kHwge8B7UHrgenB6AHmgeTB40HhgeAB3kHcwdsB2YHXwdZB1IHTAdFBz8HOAcxByoHJAcdBxYHDwcIBwAG+QbyBusG4wbcBtUGzgbGBr8GuAaxBqoGowacBpYGjwaIBoIGewZ1Bm8GaAZiBlwGVgZQBkoGRAY+BjgGMgYsBiUGHwYZBhMGDQYGBgAF+gXzBe0F5gXgBdkF0gXMBcUFvwW5BbIFrAWlBZ8FmQWTBY0FhwWCBXwFdwVxBWwFZwViBV0FWAVTBU4FSQVFBUAFOwU3BTIFLQUoBSMFHgUZBRQFDwUKBQQE/wT5BPQE7gTpBOME3QTXBNIEzATGBMAEuwS1BLAEqgSlBKAEmgSVBJAEiwSGBIEEfQR4BHMEbgRpBGUEYARbBFYEUQRMBEcEQgQ9BDgEMgQtBCgEIwQeBBkEFAQPBAoEBQQAA/wD9wPzA+8D6wPoA+QD4QPeA9sD2APVA9MD0QPOA80DywPJA8cDxgPFA8MDwgPBA8ADwAO/A74DvgO9A70DvQO9A7wDvQO9A70DvQO9A74DvgO+A78DvwO/A78DvwO/A74DvgO9A7wDvAO6A7kDuAO2A7QDswOxA68DrQOrA6kDpwOlA6QDowOiA6EDoAOgA6ADoQOiA6MDpQOmA6gDqwOtA7ADsgO1A7cDugO8A74DwAPBA8IDwwPDA8MDwgPBA78DvQO6A7cDtAOwA6wDqAOkA6EDnQOaA5YDlAOSA5ADjwOOA48DkAOSA5QDmAOcA6ADpgOrA7EDtwO+A8QDywPRA9cD3APhA+UD6APqA+sD6wPqA+cD4wPeA9gD0APIA74DswOnA5sDjgOAA3IDYwNVA0YDOAMqAxwDDwMDAvcC7ALiAtkC0QLKAsQCvwK7ArgCtgK1ArQCtAK1ArYCtwK5ArsCvAK+Ar8CwQLBAsICwgLBAsACvgK7ArgCtAKvAqoCpAKeApcCjwKIAoACeAJxAmkCYQJaAlMCTQJHAkICPQI6AjgCNgI2AjcCOQI8AkACRgJNAlUCXQJnAnICfgKKApcCpQKzAsECzwLdAusC+AMFAxIDHgMpAzMDOwNDA0oDTwNUA1cDWANZA1gDVgNTA08DSwNFAz8DNwMwAygDIAMYAxADCAMAAvgC8ALpAuMC3ALXAtECzALIAsQCwQK9AroCuAK1ArICsAKtAqsCqAKkAqECnQKZApUCkAKKAoUCfgJ4AnECagJjAlsCUwJLAkQCPAI0Ai0CJQIeAhgCEQILAgYCAAH8AfcB9AHwAe4B6wHpAegB5gHlAeUB5AHkAeQB5QHlAeYB5gHnAegB6QHqAewB7QHuAfAB8QHzAfQB9gH4AfkB+wH9Af8CAQIEAgYCCAIKAgwCDgIQAhICFAIWAhgCGgIcAh4CHwIhAiICIwIkAiYCJwIoAikCKgIrAiwCLQIvAjACMgI0AjYCOAI6AjwCPwJCAkUCSAJMAk8CUwJXAlsCXwJjAmgCbAJwAnQCeQJ9AoEChQKJAo0CkAKUApcCmgKeAqECpAKnAqoCrAKvArECtAK2ArkCuwK9Ar8CwgLEAsYCyALKAswCzgLQAtIC1ALWAtcC2QLaAtwC3QLfAuAC4QLjAuQC5QLnAugC6gLrAu0C7wLxAvMC9gL4AvsC/gMBAwQDCAMLAw8DEwMXAxsDHwMjAycDKwMvAzIDNgM5AzwDPwNBA0MDRQNHA0gDSANIA0gDRwNHA0UDQwNCAz8DPQM6AzcDNAMxAy4DKwMoAyUDIgMfAx0DGwMZAxcDFQMUAxMDEwMSAxMDEwMUAxUDFgMYAxoDHAMeAyEDJAMnAyoDLQMwAzQDNwM7Az8DQgNGA0kDTANPA1IDVQNYA1oDXANfA2ADYgNjA2QDZQNlA2UDZQNkA2MDYgNgA18DXQNbA1gDVgNTA1ADTgNLA0gDRQNCAz8DPQM6AzgDNgM0AzIDMQMvAy4DLgMtAy0DLQMuAy4DLwMwAzIDMwM1AzcDOgM8Az4DQQNEA0cDSgNNA1ADUwNWA1oDXQNgA2MDZgNpA2wDbwNyA3UDeAN6A30DfwOBA4MDhQOHA4kDiwONA48DkAOSA5QDlQOXA5kDmwOcA58DoQOjA6UDqAOrA64DsQO1A7gDvAPBA8UDyQPOA9MD2APdA+MD6APuA/MD+AP+BAMECQQOBBMEGAQdBCMEJwQsBDEENQQ6BD8EQwRIBEwEUQRWBFoEXwRkBGkEbgRzBHkEfgSEBIoEkASWBJwEogSoBK4EtAS6BMAExgTMBNEE1gTbBOAE5QTpBO0E8QT1BPgE/AT/BQIFBQUHBQoFDAUPBRIFFAUXBRoFHAUfBSMFJgUpBS0FMAU0BTgFPAVABUUFSQVNBVIFVgVbBV8FZAVoBWwFcAV1BXkFfQWBBYUFiAWMBZAFlAWYBZwFnwWjBacFqwWvBbMFtwW7BcAFxAXIBcwF0AXVBdkF3QXhBeYF6gXuBfIF9gX6Bf0GAQYFBgkGDAYQBhQGGAYcBiAGJAYoBiwGMQY2BjsGQAZGBkwGUwZaBmEGaAZwBnkGgQaKBpMGnQanBrEGuwbGBtAG2wbmBvAG+wcFBxAHGgckBy4HOAdBB0oHUgdaB2IHagdxB3cHfgeEB4kHjgeUB5gHnQehB6UHqQeuB7EHtge6B74HwgfHB8sH0AfVB9oH4AflB+sH8Qf3B/0IBAgKCBEIGAgeCCUIKwgyCDgIPghECEoITwhVCFoIXwhjCGgIbAhwCHUIeQh9CIEIhQiJCI4IkgiXCJwIoQinCK0Iswi5CMAIxwjPCNcI3gjnCO8I9wkACQkJEQkaCSIJKgkyCToJQglJCVAJVwldCWMJaQlvCXQJeQl+CYMJhwmLCZAJlAmYCZwJoAmkCagJrAmxCbUJuQm+CcIJxgnKCc4J0gnWCdoJ3QngCeMJ5QnnCegJ6QnqCeoJ6gnpCegJ5wnmCeQJ4gngCd4J3AnaCdgJ1wnWCdUJ1AnUCdQJ1QnXCdkJ2wneCeIJ5gnrCfAJ9Qn7CgEKCAoPChUKHAojCikKMAo3Cj0KQgpICk0KUgpWCloKXgphCmQKZgpoCmoKawpsCm0KbQptCm4KbgptCm0KbQptCm0KbApsCmwKbApsCmwKbApsCmwKbApsCmwKbApsCmwKawprCmsKagppCmgKZwpmCmUKYwpiCmAKXgpcCloKWApWClQKUgpQCk4KTApKCkkKRwpGCkUKRApDCkMKQwpDCkQKRQpGCkgKSQpLCk4KUQpTClcKWgpeCmIKZgpqCm4Kcgp2CnoKfgqCCoUKiQqMCo8KkgqUCpYKmAqaCpsKnAqdCp0KnQqdCp0KnQqdCpwKnAqcCpsKmwqbCpsKmwqcCpwKnQqeCp8KoQqiCqQKpgqoCqoKrAquCrAKsgqzCrQKtQq2CskKyArHCsUKwwrBCr4Kuwq3CrMKrgqqCqUKnwqaCpQKjgqICoIKfAp2CnAKawplCmAKWwpWClIKTgpKCkcKQwpBCj4KPAo6CjgKNgo0CjIKMQovCi0KKwopCiYKJAohCh4KGwoXChMKDwoLCgcKAgn+CfkJ9AnvCeoJ5QngCdwJ1wnSCc4JygnGCcIJvgm7CbgJtQmyCa8JrAmqCagJpQmjCaEJnwmcCZoJmAmWCZMJkQmOCYwJiQmGCYMJgAl9CXkJdglyCW4JaglmCWIJXglZCVQJTwlKCUUJQAk6CTQJLgkoCSIJHAkVCQ4JBwkBCPkI8gjrCOQI3AjVCM0Ixgi/CLcIsAipCKIImgiTCIwIhQh+CHcIcQhqCGMIXAhVCE4IRwhACDkIMggqCCMIGwgUCAwIBQf9B/YH7gfmB98H1wfQB8gHwQe6B7MHrAelB58HmAeSB4wHhQd/B3kHdAdtB2gHYgdbB1UHTwdJB0IHOwc0By0HJgcfBxcHDwcIBwAG9wbvBucG3gbWBs4Gxga+BrUGrgamBp4GlwaQBogGggZ7BnQGbgZoBmEGWwZVBk8GSgZEBj4GOAYyBiwGJgYgBhkGEwYMBgYF/wX4BfEF6gXiBdsF1AXMBcQFvQW1Ba4FpgWfBZcFkAWJBYIFewV0BW4FaAVhBVwFVgVRBUwFRwVCBT0FOQU1BTAFLAUpBSUFIQUdBRkFFQURBQ0FCQUEBQAE+wT2BPAE6wTlBN8E2QTTBMwExgS/BLgEsQSqBKMEnASVBI4EhwSBBHoEdARuBGcEYgRcBFYEUQRMBEcEQgQ9BDgENAQvBCoEJQQgBBwEFwQRBAwEBwQCA/wD9wPxA+wD5gPhA9sD1gPQA8sDxgPAA7wDtwOyA64DqgOmA6MDnwOcA5kDlgOTA5EDjgOMA4oDhwOFA4MDgQN/A3wDegN4A3YDdANxA28DbQNrA2kDaANmA2QDYwNiA2EDYANgA18DXwNfA18DYANgA2EDYQNiA2MDZANlA2UDZgNnA2cDaANoA2gDaANnA2cDZgNmA2UDZANkA2MDYgNiA2IDYQNiA2IDYwNkA2UDZwNpA2sDbQNwA3MDdgN5A3wDfwOCA4UDhwOKA4sDjQONA44DjgONA4sDigOHA4QDgQN9A3kDdQNxA20DaQNlA2EDXgNbA1kDVwNXA1cDWANZA1wDYANkA2kDbwN2A30DhAOMA5MDmwOjA6oDsQO3A7wDwAPEA8YDxwPGA8UDwQO9A7cDsAOnA54DkwOHA3oDbQNfA1EDQgM0AyUDFwMIAvsC7gLiAtYCzALCArkCsgKrAqYCoQKdApoCmAKXApcClgKXApcCmAKZApoCmgKbApwCnAKbApoCmQKXApUCkgKOAooChQKAAnoCdAJuAmcCYAJZAlICSgJDAjwCNgIvAioCJAIgAhwCGQIXAhYCFgIWAhgCHAIgAiYCLAI0Aj0CSAJTAl8CawJ5AocClgKlArQCwwLSAuEC7wL9AwoDFgMhAyoDMwM6A0ADRANHA0kDSANHA0QDPwM6AzMDKwMjAxoDEAMFAvsC8ALlAtoC0ALGAr0CtAKrAqQCnQKXApICjQKKAocChAKCAoECfwJ/An4CfQJ8AnsCegJ4AncCdAJxAm4CagJmAmECWwJVAk8CSAJAAjkCMQIpAiECGQIRAgoCAgH7AfQB7QHnAeIB3AHYAdMBzwHMAckBxgHEAcIBwAG/Ab4BvQG8AbsBuwG7AbsBuwG7AbsBuwG7AbwBvQG9Ab4BvwHAAcIBwwHFAccByQHLAc0BzwHSAdQB1wHZAdwB3gHhAeQB5gHoAeoB7AHuAe8B8QHyAfMB9AH1AfUB9gH2AfcB+AH4AfkB+gH7AfwB/gH/AgICBAIGAgkCDAIQAhQCGAIcAiECJQIqAi8CNAI5Aj4CQwJIAk0CUgJWAlsCXwJjAmYCagJtAnACcwJ2AngCegJ8An4CfwKBAoIChAKFAoYChwKJAooCiwKMAo4CjwKQApECkwKUApUClwKYApoCmwKcAp4CnwKgAqECogKkAqUCpgKnAqkCqgKsAq0CrwKwArICtAK3ArkCuwK+AsECxALHAsoCzgLRAtUC2ALcAuAC4wLnAuoC7QLwAvMC9QL3AvkC+wL8Av0C/gL+Av8C/gL+Av0C/AL7AvoC+AL3AvUC8wLyAvAC7wLtAusC6gLpAugC5wLmAuYC5QLlAuUC5QLlAuYC5wLnAugC6QLqAusC7ALuAu8C8QLyAvQC9gL4AvoC/AL+AwADAgMEAwYDCAMLAw0DDwMRAxMDFQMXAxgDGgMbAxwDHQMdAx4DHgMdAx0DHAMaAxkDFwMVAxMDEAMOAwsDCAMFAwIC/wL8AvkC9gLzAvEC7wLtAusC6QLoAucC5wLmAuYC5wLnAugC6QLqAusC7QLvAvAC8gL0AvYC+AL6AvwC/gMAAwMDBQMHAwkDCwMNAw4DEAMSAxQDFgMYAxsDHQMfAyEDIwMlAygDKgMsAy8DMQM0AzcDOQM8Az8DQQNEA0cDSgNNA1ADUwNWA1kDXANgA2MDZgNqA24DcQN1A3kDfQOBA4YDigOOA5IDlgObA58DowOnA6sDrwOzA7cDuwO/A8IDxgPJA80D0APTA9cD2gPeA+ED5QPpA+0D8QP1A/oD/gQDBAgEDgQTBBgEHgQkBCoEMAQ2BDwEQgRIBE4EVARaBF8EZQRqBG8EdQR6BH4EgwSIBI0EkQSWBJoEnwSkBKkErQSyBLgEvQTDBMgEzgTUBNoE4ATnBO0E8wT5BQAFBgUMBRIFFwUdBSIFJwUrBS8FNAU3BTsFPgVBBUUFSAVKBU0FUAVTBVYFWQVdBWAFZAVpBW0FcgV3BX0FgwWJBY8FlgWdBaUFrAW0BbwFxAXLBdMF2wXjBeoF8gX5BgAGBwYOBhUGGwYhBigGLgY0BjoGPwZFBksGUQZXBl0GYwZqBnAGdwZ+BoUGjAaUBpwGpAatBrYGvgbIBtEG2gbkBu4G9wcBBwsHFQcfBykHMgc8B0UHTgdXB2AHaAdwB3gHfweGB40HkweZB58HpAepB64Hsge3B7sHvwfCB8YHygfNB9EH1QfZB90H4QfmB+sH8Af1B/sIAQgHCA4IFQgcCCMIKggyCDkIQQhICFAIVwheCGUIbAhyCHgIfgiDCIgIjQiRCJUImQidCKAIpAinCKoIrgixCLUIuQi8CMEIxQjKCNAI1QjbCOII6QjwCPcI/wkHCQ8JGAkgCSkJMgk6CUMJSwlTCVsJYwlqCXIJeQl/CYYJjAmSCZgJngmjCagJrgmzCbgJvQnCCccJzAnRCdUJ2gnfCeQJ6AntCfEJ9Qn5Cf0KAAoDCgYKCAoJCgsKDAoMCgwKDAoLCgoKCQoHCgYKBAoCCgAJ/gn8CfsJ+Qn4CfcJ9wn3CfgJ+Qn6CfwJ/woCCgUKCQoNChEKFgobCiAKJgorCjAKNgo7CkAKRQpKCk8KUwpXClsKXgphCmQKZwppCmsKbApuCm8KcApxCnIKcwpzCnMKdAp0CnQKdApzCnMKcgpyCnEKcApuCm0KawppCmcKZQpiCl8KXApZClUKUgpOCkkKRQpBCj0KOAo0CjAKKwonCiMKHwobChgKFQoSCg8KDQoKCgkKBwoGCgYKBgoGCgYKBwoICgoKDAoOChEKFAoYChwKIAolCioKMAo2CjwKQgpJClAKWApfCmcKbwp3Cn4KhgqOCpYKngqlCq0Kswq6CsAKxgrLCs8K1ArXCtoK3QrfCuAK4QriCuIK4grhCuAK3wreCtwK2wrZCtcK1grUCtMK0grRCtAKzwrOCs4KzQrNCs0KzArMCswKywrKCt4K3QrbCtoK2QrXCtYK1ArSCtAKzQrKCscKwwq/CrsKtwqyCq4KqQqjCp4KmQqUCo4KiQqECn8Kegp1CnEKbQppCmUKYQpeCloKVwpUClIKTwpMCkkKRwpECkEKPgo7CjgKNQoxCi4KKgomCiIKHgoZChUKEQoMCgcKAwn+CfkJ9QnwCewJ5wnjCd8J2wnXCdQJ0AnNCckJxgnDCcAJvQm6CbgJtQmyCbAJrQmrCagJpQmjCaAJnQmaCZcJlAmRCY0JigmGCYIJfgl5CXUJcAlrCWUJYAlaCVQJTQlGCT8JOAkwCSkJIQkZCRAJCAkACPcI7gjmCN0I1QjNCMUIvQi1CK0IpgifCJgIkQiKCIQIfQh3CHEIawhkCF4IWAhRCEsIRAg9CDYILwgnCB8IFwgPCAcH/gf2B+0H5AfbB9IHyQfBB7gHsAenB58HlweQB4gHgQd6B3MHbAdmB18HWQdSB0sHRQc+BzcHMAcpByEHGQcRBwgHAAb3Bu4G5QbbBtEGyAa+BrUGqwaiBpgGjwaGBn4GdgZuBmYGXwZYBlEGSwZFBj8GOgY0Bi8GKgYlBiAGGwYWBhAGCwYGBgEF+wX1Be8F6QXjBd0F1gXQBckFwgW8BbUFrgWnBaAFmQWSBYsFhAV9BXYFcAVpBWMFXQVXBVEFSwVFBUAFOgU1BTAFKwUmBSEFHQUYBRQFEAULBQcFAwT/BPsE9gTyBO4E6QTlBOAE2wTVBNAEygTEBL4EuASyBKsEpASdBJYEjgSHBIAEeQRxBGoEYwRcBFUETgRIBEEEOwQ1BC8EKQQkBB4EGQQTBA4ECAQDA/0D9wPxA+sD5QPfA9gD0gPLA8QDvQO2A68DqAOhA5sDlAONA4cDgQN7A3YDcQNsA2gDZANgA10DWgNYA1UDUwNSA1ADTgNNA0sDSgNIA0cDRQNDA0EDPgM8AzkDNgMzAzADLQMpAyYDIwMfAxwDGQMXAxQDEgMQAw4DDQMMAwsDCwMLAwwDDAMOAw8DEAMSAxMDFQMXAxgDGgMbAxwDHQMeAx4DHwMfAx8DHwMeAx4DHQMdAxwDHAMcAxwDHAMdAx0DHwMgAyIDJAMnAyoDLQMwAzQDOAM7Az8DQwNGA0kDTANOA1ADUQNSA1IDUgNRA08DTQNKA0cDQwM/AzsDNwMyAy4DKgMmAyMDIQMfAx4DHQMeAx8DIgMlAykDLgM0AzoDQQNIA1ADWANfA2cDbgN1A3sDgQOFA4gDigOLA4sDiQOGA4IDfAN1A20DZANZA04DQgM2AykDHAMOAwEC9ALnAtsC0ALEAroCsQKoAqACmgKUAo8CigKHAoQCggKAAn8CfgJ+An0CfQJ9AnwCfAJ7AnoCeQJ3AnUCcwJwAm0CaQJlAmACXAJWAlECSwJFAj8COQIyAiwCJgIfAhoCFAIOAgkCBAIAAf0B+gH3AfYB9gH2AfgB+wH+AgMCCQIRAhkCIwItAjkCRgJUAmICcQKAApACoAKwAsACzwLeAuwC+QMEAw8DGAMgAyYDKgMtAy4DLAMqAyUDHwMXAw4DBAL5Au0C4ALTAsUCtwKqApwCjwKDAncCbAJiAlkCUQJLAkUCQAI9AjoCOAI3AjcCNwI4AjgCOgI6AjsCPAI8AjwCPAI7AjkCNwI0AjECLQIoAiMCHQIYAhECCgIEAf0B9gHvAekB4gHcAdYB0AHLAcYBwgG+AboBtwG0AbEBrwGtAasBqQGoAaYBpQGkAaMBogGhAaABoAGfAZ4BngGeAZ4BngGeAZ8BoAGhAaIBpAGlAacBqQGsAa4BsQG0AbcBugG9Ab8BwgHFAccByQHMAc0BzwHQAdEB0gHTAdMB0wHTAdMB0wHTAdMB0wHTAdQB1AHVAdYB2AHaAdwB3wHiAeUB6QHtAfEB9gH7AgACBQIKAhACFQIaAh8CJQIpAi4CMgI2AjoCPQJAAkMCRQJHAkkCSgJLAkwCTAJMAkwCTAJMAkwCSwJLAksCSwJKAksCSwJLAkwCTAJNAk4CTwJRAlICVAJVAlcCWQJbAl0CXwJhAmMCZQJoAmoCbAJuAnACcgJ0AnYCeAJ6AnwCfgKAAoIChAKHAokCiwKOApACkwKVApcCmgKcAp4CoAKiAqQCpgKoAqkCqgKrAqwCrQKtAq4CrgKuAq0CrQKtAqwCrAKrAqsCqgKqAqkCqQKpAqkCqQKqAqoCqwKrAqwCrQKuArACsQKyArMCtAK1ArcCtwK4ArkCugK6AroCuwK7ArsCuwK6AroCugK5ArkCuQK5ArkCuQK5ArkCugK6ArsCvAK9Ar4CvwLAAsECwgLDAsMCxALEAsUCxQLFAsQCwwLDAsECwAK+ArwCugK3ArUCsgKwAq0CqgKoAqUCowKhAp8CnQKcApsCmgKaApoCmgKbApwCnQKeAqACoQKjAqUCpwKpAqwCrgKwArECswK1ArcCuAK5ArsCvAK9Ar4CvwLAAsECwgLDAsQCxQLGAsgCyQLLAs0C0ALSAtQC1wLaAt0C4ALkAucC6wLuAvIC9QL5Av0DAAMEAwcDCgMOAxEDFAMXAxoDHQMgAyMDJQMoAysDLgMwAzMDNgM4AzsDPgNBA0QDRwNKA00DUANTA1YDWQNcA18DYgNmA2kDbQNwA3QDeAN8A4ADhAOJA40DkgOXA5wDoQOnA6wDsgO4A74DxAPKA9AD1QPbA+ED5gPsA/ED9gP7A/8EBAQIBAwEEAQUBBcEGwQfBCIEJgQqBC4EMgQ3BDwEQQRGBEwEUgRZBF8EZwRuBHYEfQSGBI4ElgSeBKYErgS2BL0ExATLBNIE2ATeBOME6ATtBPIE9gT7BP8FAwUHBQsFEAUVBRoFHwUkBSsFMQU4BUAFSAVQBVkFYgVsBXYFgQWLBZYFoQWsBbcFwgXNBdgF4gXtBfcGAQYKBhQGHQYmBi8GNwZABkgGUAZYBmAGaAZwBngGgAaHBo8GlwafBqcGrwa2Br4GxgbOBtUG3QbkBusG8gb5BwAHBgcMBxMHGQcfByQHKgcwBzUHOgdAB0UHSgdPB1QHWQdeB2MHaAdtB3EHdgd6B34HggeGB4oHjgeRB5QHmAebB54HoQekB6YHqQetB7AHswe3B7sHvwfEB8gHzgfTB9kH3wfmB+0H9Af8CAMICwgTCBsIJAgsCDMIOwhDCEoIUQhXCF0IYwhoCG4Icgh2CHoIfgiBCIUIiAiLCI4IkQiUCJgImwifCKMIpwisCLEItgi8CMIIyQjPCNYI3QjkCOwI8wj7CQIJCgkRCRkJIAknCS4JNQk7CUEJSAlOCVQJWglgCWUJawlxCXYJfAmCCYgJjgmUCZoJoAmmCawJsgm3Cb0JwwnJCc4J0wnYCdwJ4QnlCegJ7AnvCfIJ9An3CfkJ+wn9Cf8KAQoDCgUKBwoKCgwKDwoTChYKGgoeCiMKKAotCjMKOQo/CkUKSwpRClgKXgplCmsKcQp3CnwKggqHCosKkAqUCpcKmwqeCqEKowqmCqgKqgqsCq4KsAqxCrMKtQq3CrgKugq8Cr4KvwrBCsMKxArFCsYKxwrHCscKxwrGCsUKwwrBCr4Kuwq3CrMKrgqoCqMKnQqWCo8KiAqBCnoKcgprCmMKXApUCk0KRgpACjkKMwotCicKIgodChgKFAoQCg0KCQoGCgQKAQn/Cf4J/An7CfsJ+gn7CfsJ/Qn+CgAKAwoHCgsKEAoWChwKIwoqCjIKOwpFCk8KWQpkCnAKewqHCpMKngqqCrYKwQrMCtYK3wroCvEK+Ar/CwQLCQsNCxELEwsUCxULFQsUCxMLEQsPCwwLCQsGCwIK/wr7CvgK9QrxCu8K7ArpCucK5QrjCuIK4ArfCvsK+gr5CvkK+Ar3CvcK9gr2CvUK9AryCvEK7wrsCuoK5wrjCt8K2wrWCtEKzArGCsAKugq0Cq4KpwqhCpsKlQqPCokKhAp/CnoKdQpxCm0KagpnCmQKYQpfCl0KWwpaClgKVwpVClQKUgpRClAKTgpMCkoKRwpFCkIKPwo7CjgKNAowCisKJwoiCh0KGAoTCg0KCAoCCf0J9wnyCewJ5wniCdwJ1wnSCc0JyAnDCb4Jugm1CbAJrAmnCaMJngmaCZUJkAmLCYYJgQl8CXYJcAlqCWQJXQlWCU8JRwk/CTcJLwkmCR0JFAkLCQEI+AjuCOUI3AjTCMoIwQi4CLAIqAigCJkIkgiLCIUIfwh5CHMIbQhoCGMIXQhYCFMITQhHCEEIOwg0CC0IJQgeCBUIDQgEB/sH8QfoB94H1AfKB8AHtgesB6IHmQeQB4cHfgd2B20HZgdeB1cHTwdIB0EHOgcyBysHIwcbBxMHCwcCBvkG7wbmBtwG0QbGBrsGsAalBpoGjwaEBnoGcAZmBlwGUwZLBkMGPAY1Bi8GKQYkBiAGHAYYBhQGEQYOBgsGCAYFBgIF/wX8BfkF9gXyBe4F6gXmBeIF3QXYBdQFzwXKBcUFwAW7BbYFsgWtBagFowWeBZoFlQWQBYsFhgWABXsFdQVvBWkFYwVdBVYFTwVIBUEFOQUyBSoFIwUbBRMFDAUEBP0E9QTuBOcE4ATZBNMEzATGBMAEugS0BK4EqASiBJwElgSQBIoEhAR+BHgEcgRrBGUEXwRZBFIETARGBEAEOgQ0BC4EKAQiBB0EFwQRBAsEBgQAA/oD9APtA+cD4APZA9EDygPCA7oDsQOpA6ADlwOOA4UDewNyA2kDYANYA1ADSANAAzkDMgMsAyYDIQMcAxgDFAMRAw8DDAMKAwkDBwMGAwUDBAMDAwIDAAL/Av4C/AL6AvgC9gL0AvEC7wLsAukC5gLjAuAC3QLaAtgC1gLUAtIC0QLQAs8CzwLPAs8C0ALRAtIC0wLVAtYC2ALaAtwC3QLeAuAC4ALhAuIC4gLiAuEC4ALgAt4C3QLcAtsC2QLYAtcC1gLVAtUC1QLWAtcC2ALaAtwC3wLiAuYC6QLuAvIC9gL7Av8DAwMHAwoDDgMQAxIDEwMUAxQDEwMSAxADDQMKAwYDAgL9AvkC9ALvAusC5wLjAuAC3gLcAtsC2wLcAt4C4QLlAuoC7wL1AvwDAwMKAxIDGQMgAycDLQMzAzgDPAM/A0ADQQNAAz4DOgM2AzADKQMhAxgDDgMEAvkC7QLiAtYCywK/ArQCqQKfApYCjQKEAn0CdgJwAmsCZgJiAl8CXAJaAlgCVgJVAlMCUgJRAlACTgJNAksCSgJIAkUCQwJAAj4COwI3AjQCMAItAikCJQIgAhwCFwISAg0CCAIDAf4B+QH0Ae8B6gHmAeEB3gHaAdcB1QHUAdQB1AHWAdkB3gHjAeoB8wH8AgcCFAIhAjACQAJQAmECcgKEApYCpwK4AskC2ALmAvMC/gMHAw4DFAMXAxgDFwMUAw8DBwL+AvMC5wLZAsoCuwKqApkCiAJ4AmcCVwJIAjkCLAIgAhUCCwIDAfwB9wHyAe8B7QHsAewB7QHuAfAB8gH0AfYB+AH6AfsB/AH9Af0B/AH7AfkB9wH0AfAB7QHoAeQB3wHaAdUB0AHLAcYBwgG9AbkBtQGxAa4BqwGoAaUBowGhAZ8BnQGbAZoBmAGWAZUBkwGSAZABjwGOAYwBiwGKAYkBiAGHAYcBhwGHAYcBiAGJAYsBjAGOAZEBkwGWAZkBnAGfAaIBpQGoAasBrQGwAbIBtAG2AbcBuQG6AboBuwG7AbsBuwG7AboBugG6AboBugG7AbsBvQG+AcABwgHEAccBywHOAdIB1gHbAeAB5QHqAe8B9QH6Af8CBAIJAg0CEQIVAhkCHAIeAiECIgIkAiUCJQIlAiUCJAIjAiICIQIfAh0CHAIaAhgCFgIUAhMCEQIQAg8CDgIOAg0CDQIOAg4CDwIQAhICEwIVAhcCGQIbAh4CIQIjAiYCKQIrAi4CMQI0AjYCOQI8Aj4CQQJDAkYCSAJKAkwCTwJRAlMCVQJXAlkCWgJcAl4CXwJhAmICYwJkAmUCZgJmAmcCZwJnAmcCZgJmAmUCZQJkAmMCYgJhAmECYAJfAl8CXgJeAl4CXgJfAl8CYAJhAmMCZAJmAmgCagJsAm8CcQJzAnUCdwJ5AnsCfQJ+An8CgAKAAoECgQKAAoACfwJ+An0CfAJ7AnoCeAJ3AnYCdQJ0AnMCcgJyAnECcQJwAnACcAJwAnECcQJxAnECcAJwAnACbwJuAm0CawJqAmgCZgJjAmECXgJbAlgCVQJSAk8CTQJKAkgCRgJEAkICQgJBAkACQQJBAkICQwJFAkcCSQJMAk8CUQJUAlcCWgJdAmACYwJmAmgCagJsAm4CcAJxAnMCdAJ1AnYCdgJ3AngCeAJ5AnoCewJ9An4CgAKCAoQChwKJAo0CkAKTApcCmwKfAqQCqAKsArECtQK5Ar0CwQLFAskCzALQAtMC1gLYAtsC3QLfAuEC4wLlAuYC6ALpAusC7ALuAvAC8QLzAvUC+AL6AvwC/wMCAwUDCAMLAw4DEgMVAxkDHQMiAyYDKwMvAzQDOQM+A0QDSQNPA1QDWgNgA2YDbANyA3gDfgOEA4kDjwOUA5kDngOiA6cDqwOuA7EDtAO3A7oDvAO/A8EDwwPFA8gDygPNA9AD1APYA9wD4QPmA+wD8wP6BAEECQQRBBoEIwQsBDYEPwRJBFIEXARlBG4EdwSABIgEkASYBKAEpwSuBLYEvQTDBMsE0gTZBOEE6QTxBPoFAwUNBRcFIgUtBTgFRAVRBV0FagV3BYQFkQWeBasFuAXEBdAF2wXmBfEF/AYGBg8GGAYhBioGMwY7BkMGSwZUBlwGZAZtBnYGfwaIBpEGmwakBq4GtwbBBsoG0wbcBuUG7Qb1Bv0HAwcKBw8HFAcZBx0HIAcjByUHJwcpByoHKwcsBy0HLgcvBzAHMgc0BzYHOAc7Bz4HQQdFB0kHTQdSB1YHWwdfB2QHaAdtB3EHdQd5B30HgAeDB4YHiQeLB44HkAeTB5UHlweaB50HnwejB6YHqgeuB7IHtwe8B8IHxwfNB9MH2QfgB+YH7AfyB/kH/ggECAoIDwgUCBgIHAggCCQIJwgrCC0IMAgzCDUIOAg7CD0IQAhDCEYISQhNCFEIVQhZCF4IYwhoCG0Icwh4CH4IhAiKCJAIlQibCKEIpwisCLIIuAi9CMIIyAjNCNMI2QjeCOQI6gjwCPYI/QkECQsJEgkaCSEJKQkxCTkJQglKCVIJWwljCWwJdAl8CYQJjAmUCZsJowmqCbEJuAm/CccJzgnVCdwJ5AnsCfQJ/AoECg0KFgogCioKNAo+CkkKVApfCmsKdgqBCowKlwqiCq0KtwrBCssK1ArdCuUK7ArzCvoLAAsFCwoLDwsTCxcLGwseCyELJAsnCyoLLQswCzMLNQs4CzsLPgtBC0QLRwtJC0wLTgtPC1ELUgtTC1MLUgtRC08LTQtKC0YLQQs8CzcLMAsqCyILGgsSCwoLAQr5CvAK5wreCtUKzQrECrwKtAqtCqUKngqXCpEKiwqFCn8KeQp0Cm4KaQpkCl8KWQpUCk8KSgpFCkAKOwo3CjMKLworCigKJgokCiIKIgoiCiQKJgopCi4KMwo5CkEKSQpSClwKZwpzCn8KjAqZCqYKtArBCs4K2wroCvMK/wsJCxMLGwsjCykLLwszCzYLOQs6CzoLOgs5CzYLNAsxCy0LKQslCyELHAsYCxQLEAsMCwkLBgsDCwEK/wr9CyALHAsZCxcLFAsSCxALDgsMCwoLCAsGCwQLAgsACv0K+gr3CvQK8ArtCugK5ArfCtoK1QrPCsoKxAq+CrkKswquCqkKpAqgCpwKmQqWCpMKkgqQCo8KjwqPCpAKkQqSCpMKlQqWCpgKmgqbCpwKnAqdCpwKnAqaCpgKlQqSCo4KiQqECn0KdwpwCmgKYApYCk8KRgo9CjQKKwoiChkKEAoHCf8J9wnvCecJ3wnYCdIJywnECb4JuAmyCawJpwmhCZsJlgmQCYoJhAl9CXcJcAlpCWIJWglTCUsJQgk6CTEJKAkfCRUJDAkCCPgI7gjkCNsI0QjHCL4ItQisCKMImwiTCIsIhAh9CHYIbwhpCGMIXAhWCFAISghECD0INwgwCCkIIggaCBEICQgAB/cH7QfjB9kHzwfFB7oHsAemB5wHkweJB4AHdwdvB2cHYAdZB1IHSwdFBz8HOQczBy0HJgcgBxkHEQcJBwEG+AbuBuQG2QbOBsMGtwarBp4GkgaGBnoGbgZjBlgGTgZFBj0GNQYuBikGJAYhBh4GHAYaBhoGGgYaBhsGGwYcBh0GHgYfBh8GHwYfBh4GHQYbBhkGFwYVBhIGDwYMBgkGBgYDBgAF/QX6BfcF9AXyBe8F7AXqBeYF4wXgBdsF1wXSBcwFxgW+BbcFrgWkBZoFjwWEBXgFawVeBVEFQwU1BSgFGgUNBQAE8wTnBNsE0ATGBLwEsgSpBKEEmQSSBIwEhQR/BHkEdARuBGkEZARfBFkEVARPBEkERAQ+BDkEMwQtBCgEIgQcBBYEEAQKBAQD/wP5A/MD7QPmA+AD2gPTA80DxQO+A7cDrwOnA58DlgONA4QDegNxA2cDXQNTA0kDPwM1AysDIQMYAw4DBgL9AvUC7QLmAuAC2QLUAs4CygLFAsECvgK7ArgCtQKzArECrwKuAqwCqwKqAqkCqAKnAqYCpQKlAqQCowKiAqICoQKhAqACoAKfAp8CnwKfAp8CnwKgAqACoAKhAqICogKjAqMCpAKkAqUCpQKlAqUCpQKkAqQCowKiAqECnwKeApwCmgKYApYClAKSApACjwKNAowCiwKKAooCiwKLAo0CjgKRApMClgKaAp4CogKmAqsCrwK0ArgCvALAAsMCxgLJAsoCywLMAssCygLIAsUCwgK/ArsCtgKxAq0CqAKkAp8CmwKYApUClAKTApMCkwKVApgCmwKgAqUCqwKxArgCvwLGAs0C1ALbAuAC5gLqAu4C8ALxAvEC8ALuAuoC5gLgAtkC0QLIAr8CtQKrAqAClQKLAoACdgJsAmICWQJRAkkCQgI8AjYCMQIsAigCJQIhAh8CHAIaAhgCFgIVAhMCEgIQAg8CDgIMAgsCCQIIAgYCBQIDAgICAAH+AfwB+gH3AfUB8gHvAesB6AHkAeAB2wHWAdEBzAHHAcEBvQG4AbQBsAGtAasBqgGrAawBsAG0AbsBwwHMAdgB5QHzAgMCFAInAjoCTgJiAnYCiwKeArECwgLSAuEC7gL4AwADBgMJAwoDCAMEAv0C8wLoAtoCywK7AqgClgKCAm4CWgJGAjMCIAIOAf0B7gHgAdQByQHAAbgBsgGtAaoBqAGnAacBqAGqAawBrgGxAbQBtwG5AbsBvQG+Ab8BvwG/Ab4BvQG8AboBtwG1AbIBrwGsAakBpgGjAaABngGbAZkBlwGVAZMBkgGRAY8BjgGNAYsBigGJAYgBhgGFAYQBggGAAX8BfQF7AXoBeAF3AXYBdQF0AXQBdAF0AXQBdQF2AXgBegF8AX4BgQGDAYYBiAGLAY4BkAGTAZUBlwGZAZoBmwGcAZ0BngGeAZ4BngGeAZ4BngGeAZ4BngGfAZ8BoAGiAaMBpQGoAasBrgGxAbUBuQG+AcIBxwHMAdEB1gHbAeAB5AHpAe0B8QH1AfgB+wH+AgACAgIDAgQCBQIFAgUCBAIDAgICAQH/Af0B+wH5AfcB9QHzAfEB7gHsAeoB6AHnAeUB5AHjAeIB4gHhAeEB4gHiAeMB5AHlAecB6AHqAewB7gHxAfMB9QH4AfoB/QH/AgICBAIGAggCCgIMAg4CEAISAhMCFAIWAhcCGAIaAhsCHAIdAh4CHwIgAiECIQIiAiICIwIjAiMCIwIjAiMCIgIiAiECIQIgAh8CHgIdAhwCGwIaAhkCGQIYAhgCGAIYAhkCGgIbAhwCHQIfAiECIwImAigCKwItAjACMwI1AjcCOQI7Aj0CPwJAAkECQQJCAkICQgJCAkECQAJAAj4CPQI8AjsCOgI5AjgCNgI1AjQCMwIyAjECMAIvAi4CLQIrAioCKAInAiQCIgIgAh0CGgIXAhMCEAIMAggCBAIBAf0B+QH2AfIB7wHsAeoB6AHmAeUB5AHkAeQB5QHmAecB6QHrAe4B8QH0AfgB+wH/AgMCBwIKAg4CEgIVAhgCGwIeAiACIwIlAicCKQIqAisCLQIuAi8CMQIyAjQCNQI3AjkCPAI+AkECRAJHAksCTgJTAlcCWwJgAmQCaQJuAnMCdwJ8AoAChQKJAo0CkAKTApcCmQKcAp4CoAKhAqMCpAKlAqYCpwKoAqkCqgKrAqwCrgKvArECsgK0ArcCuQK7Ar4CwQLFAsgCzALQAtMC2ALcAuAC5QLpAu4C8wL4Av0DAgMHAwwDEgMXAxwDIgMnAywDMQM3AzwDQQNGA0oDTwNTA1cDWwNfA2IDZQNpA2wDbwNyA3UDeQN8A4ADhAOIA40DkgOYA54DpQOsA7QDvQPGA9AD2gPkA+8D+gQFBBAEHAQnBDIEPQRIBFIEXQRnBHAEeQSDBIsElAScBKUErQS2BL8EyATRBNsE5gTwBPwFBwUUBSEFLgU7BUkFVwVlBXMFgQWPBZ0FqgW2BcIFzgXYBeIF6wX0BfwGAwYKBhAGFgYbBiEGJgYsBjEGNwY9BkQGSwZTBlsGZAZtBncGgQaLBpYGoQasBrYGwAbKBtQG3QblBu0G9Ab6Bv8HAwcHBwoHDAcOBw8HEAcRBxIHEgcTBxQHFgcYBxoHHgchByYHKwcxBzgHPwdGB08HVwdgB2kHcgd7B4QHjQeVB50HpAerB7EHtge7B78HwwfGB8gHygfLB8wHzQfNB80HzQfNB8wHzAfMB8wHzAfMB80HzQfOB88H0AfRB9IH0wfUB9UH1gfXB9gH2QfZB9oH2gfbB9sH2wfbB9sH2wfbB9wH3AfdB94H3wfgB+EH4wflB+gH6gftB/EH9Af4B/sH/wgDCAcICwgPCBMIGAgcCCAIJAgoCCwIMAg0CDgIPQhCCEYITAhRCFcIXQhkCGsIcwh7CIMIjQiWCKAIqgi1CMAIywjXCOMI7wj7CQcJEwkfCSsJNglCCU4JWgllCXEJfAmHCZMJngmqCbUJwQnNCdoJ5gnzCgAKDgocCioKOApHClYKZQp0CoMKkgqhCrAKvwrOCtwK6gr4CwQLEQsdCykLMws+C0gLUQtaC2ILagtxC3gLfguFC4sLkAuVC5oLnwukC6gLrAuwC7MLtwu6C7wLvgvAC8ELwgvCC8ELwAu+C7wLuAu1C7ALqwulC54LlwuPC4cLfgt2C20LYwtaC1ELSAs/CzcLLwsnCyALGQsTCw4LCQsFCwEK/wr8CvoK+Qr4CvcK9gr2CvUK9Qr0CvMK8grxCu8K7QrqCucK5ArgCtwK1wrSCs0KyArDCr4KuQq0CrAKrAqpCqcKpQqkCqQKpQqnCqoKrgqzCrkKvwrHCs8K1wrhCuoK9Ar+CwgLEgsbCyULLQs2Cz0LRAtLC1ALVQtYC1sLXQteC14LXgtdC1sLWAtVC1ILTgtKC0YLQQs9CzgLNAsvCysLJwsjC0oLQws8CzULLgsnCyELGwsVCxALCwsHCwMLAAr8CvoK9wr1CvMK8grwCu8K7grtCuwK6wrqCuoK6QroCugK5wrnCucK5wroCugK6QrrCuwK7grxCvMK9gr6Cv0LAAsECwcLCgsNCw8LEQsSCxILEgsQCw4LCwsGCwEK+grzCuoK4ArWCssKvwqyCqUKmAqLCn0KbwpiClUKSAo7Ci8KJAoZCg8KBQn8CfQJ7AnkCd0J1wnQCcoJxAm+CbkJswmtCacJoQmaCZMJjQmFCX4JdgluCWYJXQlVCUwJQwk5CTAJJwkdCRQJCgkACPcI7QjkCNsI0QjICL8ItgitCKUInAiUCIsIgwh7CHMIawhjCFoIUghKCEIIOQgwCCgIHggVCAsIAgf4B+0H4wfYB84Hwwe5B64HpAeaB5AHhwd+B3YHbgdnB2EHWwdWB1IHTgdKB0cHRAdBBz8HPAc5BzYHMgcuBygHIgccBxQHCwcCBvcG7AbgBtQGxwa5BqwGngaRBoQGeAZtBmIGWQZRBkoGRQZABj4GPAY8Bj0GPwZCBkYGSgZPBlQGWQZeBmMGZwZrBm4GcAZyBnMGcwZyBnEGcAZtBmsGaAZlBmIGXwZcBlkGVgZTBlEGTwZMBkoGSAZFBkIGPwY6BjYGMAYpBiIGGQYPBgMF9wXpBdoFygW5BagFlQWCBW8FXAVIBTUFIgUQBP4E7QTdBM4EwASzBKgEnQSTBIoEggR7BHQEbwRpBGQEXwRaBFUEUQRMBEYEQQQ7BDUELwQpBCIEGgQTBAsEBAP8A/QD7APkA9wD1APMA8UDvQO2A68DpwOgA5oDkwOMA4UDfgN4A3EDagNjA1wDVQNNA0YDPgM2Ay4DJgMdAxUDDAMDAvoC8QLoAt8C1gLNAsQCvAKzAqsCowKbApQCjQKHAoECfAJ3AnICbwJsAmkCaAJmAmYCZgJmAmYCaAJpAmsCbQJvAnECcwJ0AnYCeAJ5AnoCewJ7AnsCewJ6AnkCdwJ2AnMCcQJvAmwCaQJnAmQCYQJfAlwCWQJXAlUCUwJRAk8CTgJNAksCSgJJAkgCRwJGAkUCRAJDAkICQgJBAkECQQJBAkECQgJCAkQCRQJHAkkCSwJOAlECVQJYAlwCYAJjAmcCagJuAnECcwJ2AncCeAJ5AngCeAJ2AnQCcgJvAmwCaQJlAmECXgJaAlcCVQJTAlECUQJRAlECUwJWAlkCXQJiAmgCbQJzAnoCgAKGAowCkgKXApsCngKhAqICowKiAqACnQKZApMCjQKGAn4CdgJtAmMCWgJQAkcCPQI0AisCIwIbAhQCDQIHAgIB/QH4AfQB8QHuAesB6QHmAeQB4gHhAd8B3QHcAdoB2QHYAdYB1QHUAdMB0gHRAdABzwHOAcwBywHKAcgBxgHEAcEBvgG7AbcBsgGuAakBowGeAZkBkwGOAYoBhgGDAYEBgAGAAYIBhgGLAZMBnAGnAbQBwwHTAeUB+AIMAiICNwJNAmMCeAKNAqACsgLCAtAC3ALlAusC7wLwAu4C6QLiAtgCywK8AqwCmQKFAnECWwJGAjACGgIFAfEB3gHMAbwBrQGfAZQBigGCAXsBdgFzAXEBcAFwAXABcgF0AXYBeQF8AX4BgAGDAYQBhgGHAYcBhwGHAYcBhgGFAYQBggGBAX8BfgF8AXsBegF5AXgBdwF3AXYBdgF2AXYBdgF2AXcBdwF3AXcBdgF2AXYBdQF0AXMBcgFxAXABbwFuAW0BbAFrAWsBagFqAWoBagFrAWsBbAFtAW8BcAFyAXQBdgF3AXkBewF8AX4BfwGAAYABgQGBAYEBgQGBAYABgAF/AX8BfgF+AX4BfgF+AX4BfwGAAYIBhAGGAYkBjAGPAZMBlwGbAaABpAGpAa0BsgG3AbsBvwHEAcgBywHPAdIB1QHXAdkB2wHdAd4B3wHgAeEB4QHhAeEB4QHgAeAB3wHeAd0B3AHbAdoB2QHXAdYB1AHTAdIB0AHPAc0BzAHLAcoByQHJAcgByAHIAcgByAHJAckBygHLAc0BzgHPAdAB0gHTAdUB1gHXAdkB2gHaAdsB3AHcAdwB3AHcAdwB3AHcAdsB2wHbAdoB2gHaAdoB2gHaAdoB2gHaAdsB2wHcAdwB3QHdAd4B3gHeAd8B3wHfAd8B3wHfAd8B3wHfAd4B3gHeAd4B3wHfAeAB4AHhAeIB5AHmAecB6QHrAe4B8AHyAfUB9wH5AfwB/gIAAgICAwIEAgUCBgIHAgcCBwIHAgYCBQIEAgMCAgIBAf8B/QH8AfoB+AH2AfQB8gHwAe4B7AHqAecB5AHiAd8B3AHZAdUB0gHOAcoBxgHCAb4BugG2AbIBrgGqAacBowGgAZ0BmwGZAZcBlgGVAZQBlAGVAZUBlgGYAZoBnAGfAaIBpQGoAawBrwGzAbcBuwG+AcIBxgHKAc0B0QHUAdgB2wHeAeEB5AHmAekB7AHuAfEB8wH1AfgB+gH9Af8CAgIFAggCCwIOAhICFQIZAh0CIQIlAikCLgIyAjYCOgI+AkICRgJKAk0CUQJTAlYCWAJaAlwCXgJfAmACYQJhAmECYgJiAmICYgJjAmMCZAJkAmUCZgJoAmkCawJtAnACcgJ1AngCewJ/AoIChgKKAo4CkgKWApoCngKiAqYCqwKvArMCuAK8AsACxQLJAs4C0gLXAtwC4ALlAuoC7wL0AvkC/gMDAwkDDgMUAxoDIAMmAy0DMwM7A0MDSwNUA10DZwNxA3wDhwOTA6ADrQO6A8gD1gPkA/IEAAQOBBwEKgQ3BEQEUARcBGcEcQR7BIUEjgSWBJ4EpgStBLUEvATDBMsE0wTcBOQE7QT3BQIFDQUYBSQFMAU8BUkFVQViBW4FewWGBZEFnAWlBa4FtwW+BcQFygXOBdIF1gXZBdwF3gXgBeMF5gXpBewF8AX1BfoGAQYIBg8GGAYhBisGNQZABksGVgZhBmwGdgaBBosGlAacBqUGrAazBrkGvwbEBskGzgbTBtgG3QbiBugG7gb1Bv0HBgcPBxkHJQcxBz4HSwdaB2gHeAeHB5cHpge2B8UH0wfhB+8H+wgHCBIIGwgkCCwIMwg4CD0IQAhDCEUIRghGCEYIRQhECEIIPwg9CDoINggzCC8IKwgnCCIIHggZCBQIDggJCAMH/Qf3B/EH6gfjB90H1gfPB8gHwge7B7UHrwepB6MHngeaB5YHkgePB40HiweKB4kHiQeJB4oHiweMB44HkQeTB5YHmAebB54HoQekB6cHqgesB68Hsge1B7cHuge9B8AHxAfIB8wH0QfWB9wH4wfqB/IH+ggECA4IGQgkCDEIPghLCFoIaAh4CIcIlwinCLgIyAjZCOkI+gkKCRoJKgk6CUoJWglpCXgJiAmXCaUJtAnDCdIJ4QnwCf4KDQocCisKOwpKClkKaAp4CocKlgqlCrQKwwrSCuEK7wr+CwsLGQsnCzQLQQtNC1kLZQtxC3wLhguRC5oLpAutC7YLvgvFC8wL0gvYC94L4gvmC+kL6wvtC+0L7QvsC+oL6AvkC+AL2gvUC80LxQu9C7MLqgufC5ULiQt+C3MLZwtcC1ALRQs7CzALJwseCxYLDwsJCwQLAQr+CvwK/Ar9Cv8LAwsHCwwLEwsaCyILKws0Cz4LSAtRC1sLZQtuC3YLfguGC4wLkguWC5kLnAudC50LmwuZC5YLkguNC4cLgAt5C3ILagtjC1sLVAtMC0YLQAs6CzULMQsuCysLKgsqCyoLKwstCzALNAs4Cz0LQgtHC00LUwtZC18LZQtrC3ALdQt5C30LgAuCC4QLhQuFC4QLgwuAC30Legt1C3ALawtlC14LWAtRC4MLewtyC2kLXwtWC00LRAs8CzQLLQsnCyILHgsaCxgLFwsWCxcLGAsbCx4LIgsmCysLMAs1CzsLQQtHC00LUwtZC18LZQtrC3ELdgt8C4ELhguLC48LlAuXC5sLngugC6ILowujC6ILoAudC5gLkguLC4MLeQtuC2ILVAtFCzULJAsSCwAK7QraCscKtAqhCo8KfQpsClwKTQo/CjIKJgobChEKCAoACfgJ8gnsCeYJ4QncCdcJ0gnMCccJwQm6CbMJrAmkCZsJkgmJCX8JdAlqCV8JVAlJCT4JMwkoCR4JFAkKCQAI9gjtCOUI3AjUCMwIxAi9CLUIrgimCJ8IlwiQCIgIgAh3CG8IZghdCFQISghBCDYILAghCBYICwgAB/UH6QfeB9MHyAe9B7IHqAeeB5QHiweDB3wHdQdvB2oHZgdjB2EHXwdeB14HXwdgB2EHYwdkB2YHZwdoB2gHZwdmB2MHXwdaB1MHSwdCBzgHLAcgBxIHBAb2BucG2AbKBrwGrwajBpgGjgaGBn8GegZ3BnUGdQZ3BnoGfgaDBokGkAaXBp4GpQarBrEGtwa7Br8GwQbDBsMGwgbABr4Guwa3BrMGrgapBqQGnwaaBpUGkQaNBokGhQaBBn0GegZ1BnEGbAZmBl8GVwZNBkMGNwYpBhsGCgX5BeYF0gW9BacFkQV7BWQFTQU3BSIFDQT5BOYE1QTFBLYEqQSdBJIEiQSBBHoEdARvBGsEZwRjBGAEXQRZBFYEUgRNBEgEQgQ8BDUELQQlBBwEEwQKA/8D9QPqA98D1APJA74DtAOpA58DlQOLA4IDeQNwA2gDYQNaA1MDTQNHA0IDPQM4AzQDMAMsAygDJAMgAxwDGAMTAw8DCgMEAv4C+ALxAuoC4wLbAtICygLBArgCrgKlApwClAKLAoMCfAJ1AnACagJmAmMCYQJfAl8CYAJhAmMCZQJoAmwCcAJzAncCegJ9AoACggKDAoMCggKBAn4CegJ2AnACagJjAlwCVAJMAkMCOwIyAioCIwIbAhUCDwIKAgYCAgH/Af4B/QH8Af0B/QH/AgACAgIEAgUCBwIJAgoCCwIMAgwCDAIMAgwCCwIKAgkCCAIHAgYCBQIFAgUCBQIGAgcCCAIKAgwCDwISAhUCGAIbAh4CIQIkAicCKQIqAisCLAIsAiwCKwIqAigCJgIkAiICIAIeAhwCGgIZAhkCGQIZAhsCHQIfAiICJgIqAi8CMwI4Aj0CQQJGAkkCTQJPAlECUgJSAlECTwJMAkgCQwI+AjgCMQIqAiMCGwITAgwCBAH9AfYB7wHpAeQB3wHaAdYB0gHPAc0BygHIAcUBwwHBAb8BvQG7AbkBtwG1AbIBsAGuAasBqQGnAaQBogGhAZ8BnQGcAZoBmQGXAZUBkwGRAY8BjQGKAYYBgwF/AXsBdgFyAW0BaQFlAWEBXgFcAVsBWwFdAWEBZgFsAXUBfwGMAZoBqgG7Ac4B4gH3AgwCIgI3AkwCYAJzAoQCkwKgAqsCswK5ArsCuwK4ArICqgKeApECgQJwAl0CSgI1AiACCwH2AeEBzgG7AaoBmgGLAX4BcwFqAWIBWwFWAVMBUQFQAU8BUAFRAVIBUwFVAVYBWAFZAVoBWgFaAVoBWQFYAVcBVQFUAVIBUAFOAU0BSwFKAUkBSAFIAUgBSAFIAUkBSgFMAU0BTwFQAVIBVAFWAVgBWQFbAVwBXQFeAV8BYAFgAWABYQFhAWEBYQFhAWEBYQFhAWIBYgFjAWMBZAFlAWYBZwFoAWkBagFrAWwBbQFuAW4BbwFvAW8BbwFuAW0BbQFsAWsBagFpAWgBZwFmAWUBZQFlAWUBZgFmAWgBagFsAW4BcQF0AXgBfAGAAYQBiAGMAZEBlQGZAZ0BoQGlAagBqwGuAbEBtAG2AbgBuQG7AbwBvgG/AcABwQHCAcIBwwHEAcQBxQHFAcYBxgHGAccBxwHGAcYBxgHFAcQBwwHCAcEBwAG+Ab0BuwG6AbkBtwG2AbUBtAG0AbMBswGzAbMBswGzAbQBtQG1AbYBtwG3AbgBuQG5AbkBuQG5AbgBtwG2AbUBswGxAbABrgGsAaoBqAGmAaQBogGhAaABnwGeAZ4BnQGeAZ4BnwGgAaEBogGkAaUBpwGoAaoBrAGtAa8BsAGxAbIBtAG0AbUBtgG3AbgBuQG6AbsBuwG9Ab4BvwHBAcIBxAHFAccByQHLAcwBzgHPAdAB0QHSAdIB0gHSAdIB0QHQAc8BzQHLAckBxgHDAcEBvgG7AbcBtAGxAa4BqwGnAaQBoQGeAZsBlwGUAZEBjgGLAYcBhAGBAX4BewF3AXQBcQFuAWsBaAFmAWMBYQFfAV0BXAFbAVoBWQFZAVkBWgFbAVwBXQFeAWABYgFkAWYBaQFrAW4BcAFzAXYBeQF8AYABgwGGAYoBjQGRAZUBmQGcAaABpAGoAawBsAG0AbcBuwG/AcIBxgHJAcwBzwHSAdUB2AHaAd0B4AHiAeUB5wHqAewB7wHyAfUB+AH7Af0CAAIDAgYCCQIMAg4CEQITAhUCFwIYAhkCGgIbAhsCGwIbAhoCGQIZAhgCFwIWAhUCFAITAhMCEgITAhMCFAIVAhYCGAIbAh0CIAIjAicCKgIuAjICNgI6Aj4CQwJHAksCTwJTAlgCXAJgAmQCaAJsAnACdQJ5An4CggKHAo0CkgKYAp4CpAKrArICugLCAssC1ALeAugC8wL+AwoDFwMkAzIDQQNQA2ADcAOBA5IDpAO1A8cD2QPrA/wEDQQeBC4EPgRMBFoEZwRzBH4EiASSBJoEogSoBK4EtAS5BL4EwwTIBM0E0gTYBN0E5ATrBPIE+gUDBQwFFQUeBSgFMgU8BUUFTgVXBV8FZgVtBXMFeAV8BYAFgwWFBYcFiQWLBYwFjgWQBZIFlQWYBZwFoQWnBa4FtQW+BccF0AXbBeYF8QX8BgcGEwYeBikGMwY9BkcGUAZZBmIGagZyBnoGgwaLBpQGnQaoBrMGvwbMBtoG6Qb5BwoHHQcwB0QHWQduB4QHmQevB8QH2QftCAAIEwgkCDMIQghPCFsIZQhuCHUIewiACIQIhwiJCIoIiwiLCIoIigiICIcIhQiDCIEIfgh7CHgIdAhwCGsIZghfCFkIUQhJCEAINggrCCAIEwgHB/oH7AfeB9AHwge0B6YHmAeLB34HcgdnB1wHUwdKB0IHPAc2BzIHLgcrByoHKQcpBykHKgcsBy8HMQc0BzcHOgc+B0EHRAdIB0sHTgdRB1MHVgdZB1sHXgdhB2QHZwdqB24Hcwd4B34HhAeLB5MHnAemB7EHvQfKB9gH5wf3CAgIGggsCD8IUwhnCHwIkginCL0I0wjpCP8JFQkrCUEJVwlsCYEJlQmpCbwJ0AniCfUKBgoXCigKOQpJClgKZwp2CoQKkgqgCq4KuwrICtUK4gruCvsLBwsUCyALLAs4C0QLUAtcC2gLdAt/C4sLlgugC6oLtAu+C8cLzwvWC90L4wvoC+wL7wvxC/IL8gvxC+8L7AvnC+IL2wvUC8sLwgu3C6wLoAuUC4cLeQtrC10LTwtACzILIwsVCwcK+grtCuEK1grLCsIKuQqyCq0KqAqlCqQKpAqmCqoKrwq2Cr4KyQrUCuIK8AsACxELIws1C0gLXAtvC4MLlguoC7oLywvbC+oL9wwCDAwMFAwaDB8MIQwiDCEMHgwZDBMMCwwCC/gL7QviC9YLyQu9C7ALowuXC4wLgQt3C24LZgtfC1kLVAtRC04LTgtOC08LUgtVC1kLXgtkC2oLcQt4C38LhQuMC5ILmAudC6ELpAumC6gLqAunC6ULogudC5gLkguLC88LzAvIC8MLvQu3C7ALqQuiC5sLlQuPC4oLhguDC4ELgAuBC4MLhguKC48LlgucC6QLrAu1C74LxwvQC9gL4QvpC/EL+Av/DAUMCgwPDBMMFwwaDBwMHQwdDB0MHAwaDBcMEwwNDAcMAAv3C+0L4gvVC8cLuAunC5ULgwtvC1oLRQsvCxkLAwrtCtgKwwquCpsKiAp3CmcKWApLCj8KNAorCiMKGwoVChAKCwoGCgEJ/Qn4CfMJ7gnoCeEJ2QnQCccJvAmxCaUJmAmKCXwJbglfCVAJQgkzCSUJGAkLCP4I8gjnCN0I1AjLCMMIvAi1CK8IqQikCJ4ImQiUCI4IiAiCCHwIdghuCGcIXghWCE0IQwg5CC8IJAgaCA8IBAf5B+4H4wfYB84HxAe7B7IHqgejB5wHlgeRB40HigeIB4cHhweHB4kHiweOB5IHlgebB6AHpQepB64Hsge1B7cHuQe5B7gHtgeyB6wHpQecB5IHhgd5B2sHXAdNBz0HLQcdBw0G/gbwBuMG2AbOBsUGvga5BrYGtAa0BrUGuAa7Br8GxAbKBs8G1AbYBtwG4AbiBuMG4wbiBuAG3QbZBtQGzgbIBsIGuwa0Bq0GpgafBpkGkwaNBogGgwZ+BnkGcwZtBmcGYAZYBk8GRAY5BisGHQYMBfsF6AXUBb4FqAWRBXkFYgVKBTMFGwUFBPAE3ATKBLkEqQSbBI8EhAR7BHMEbQRoBGQEYQRfBF0EWwRaBFkEVwRVBFMEUQRNBEkERQRABDkEMwQsBCQEGwQSBAgD/gP0A+kD3gPTA8gDvAOxA6YDmwOQA4UDewNxA2cDXgNWA04DRwNAAzsDNQMxAy0DKgMnAyUDIwMiAyADHwMeAx0DHAMaAxgDFQMSAw4DCgMFAv8C+QLyAusC4wLbAtMCzALEAr0CtgKwAqoCpgKiAqACnwKeAp8CoQKjAqYCqgKvArMCuAK8AsACxALHAsgCyQLIAsYCwgK9ArcCrgKkApkCjQKAAnICYwJUAkQCNQImAhgCCgH+AfMB6QHgAdkB1AHQAc0BzAHNAc4B0AHUAdcB3AHgAeQB6AHsAe8B8gHzAfQB9AHzAfIB7wHsAegB5AHfAdoB1QHQAcsBxwHDAcABvgG8AbsBuwG8Ab0BwAHCAcYByQHNAdIB1gHaAd0B4QHkAeYB6AHpAeoB6wHqAeoB6QHoAeYB5QHjAeIB4QHhAeAB4AHhAeIB5AHmAegB6wHuAfEB9AH3AfkB/AH9Af8B/wH/Af4B/QH6AfcB8wHvAeoB5AHfAdkB0wHNAccBwQG8AbcBsgGuAaoBpwGkAaIBoAGeAZwBmgGZAZcBlgGUAZIBkAGNAYoBhwGEAYEBfQF6AXYBcwFvAWwBagFnAWUBYwFiAWABXwFeAV0BXQFcAVsBWgFZAVcBVQFTAVEBTgFLAUgBRgFDAUEBPwE+AT4BQAFCAUYBSwFSAVsBZgFyAX8BjgGfAbABwwHWAekB/AIOAiACMQJAAk0CWAJhAmgCbAJuAmwCaAJiAlkCTgJBAjICIgIRAf8B7AHaAccBtgGlAZUBhgF5AW0BYgFZAVIBTAFIAUUBQwFBAUEBQQFCAUMBQwFEAUQBRAFEAUMBQQE/AT0BOgE2ATIBLgEqASYBIgEeARoBFgETAREBDwENAQwBDAEMAQ0BDwEQARMBFQEYARsBHgEhASUBKAErAS4BMQE0ATcBOQE8AT4BQAFCAUQBRQFHAUkBSgFMAU0BTgFQAVEBUgFUAVUBVgFYAVkBWgFbAVsBXAFdAV0BXQFdAV0BXQFcAVwBWwFaAVkBWQFYAVcBVwFWAVYBVgFXAVgBWQFaAVwBXgFgAWMBZgFpAWwBcAF0AXgBfAF/AYMBhwGLAY4BkgGVAZgBmgGdAZ8BoQGjAaQBpgGnAakBqgGrAawBrQGuAbABsQGyAbQBtQG2AbcBuAG5AboBuwG7AbwBvAG7AbsBugG5AbgBtgG0AbIBsAGuAawBqQGnAaQBogGgAZ8BnQGcAZsBmgGZAZkBmQGZAZkBmQGaAZoBmwGbAZsBmwGbAZsBmgGZAZgBlwGVAZMBkQGPAY0BigGIAYYBhAGCAYABfgF9AXwBfAF7AXwBfAF9AX4BgAGBAYMBhQGHAYoBjAGOAZABkgGUAZYBmAGZAZoBmwGcAZ0BngGeAZ8BnwGgAaABoAGhAaIBogGjAaQBpAGlAaYBpgGnAacBpwGnAacBpgGlAaQBogGgAZ0BmgGXAZMBjwGLAYYBggF9AXgBcwFvAWoBZQFhAVwBWAFUAVEBTQFKAUcBQwFBAT4BPAE5ATcBNQEzATEBMAEuAS0BKwEqASkBKQEoASgBKAEpASkBKgErAS0BLgEwATIBNAE2ATgBOwE9AT8BQgFEAUYBSAFLAU0BTwFRAVMBVQFXAVkBXAFeAWEBZAFnAWoBbgFxAXUBeQF9AYIBhgGKAY4BkgGWAZoBngGhAaQBpwGqAawBrgGwAbIBswG0AbYBtwG3AbkBugG7AbwBvQG/AcEBwgHEAcYByAHKAc0BzwHQAdIB1AHVAdYB1wHXAdcB1wHWAdUB1AHSAdABzgHMAcoByAHGAcQBwwHCAcEBwQHBAcIBwwHFAccBygHOAdEB1gHaAd8B5AHpAe4B9AH5Af4CAwIIAg0CEgIXAhsCIAIkAikCLQIyAjYCOwJAAkYCTAJSAlgCXwJnAm8CeAKBAowClgKiAq4CuwLJAtgC5wL3AwcDGQMqAz0DUANjA3YDigOdA7EDxQPYA+oD/QQOBB8ELwQ9BEsEWARjBG4EdwR/BIYEjASRBJYEmgSeBKEEpASnBKsErwSzBLcEvQTCBMkE0ATXBN8E5wTwBPkFAQUKBRMFGwUiBSkFMAU2BTsFQAVEBUcFSwVOBVAFUwVWBVoFXgVjBWgFbgV2BX4FhwWRBZwFqAW1BcIF0AXeBewF+gYIBhUGIgYuBjoGRgZQBloGZAZuBncGgAaJBpMGnQaoBrQGwgbQBt8G8AcDBxYHKwdBB1gHcAeIB6AHuAfQB+cH/QgSCCUINwhGCFQIXwhpCHAIdQh4CHkIeAh2CHMIbwhqCGUIXwhaCFQITwhKCEYIQgg/CDwIOgg4CDYINAgzCDAILQgqCCYIIAgaCBIICQf/B/MH5gfYB8kHuQeoB5YHhAdxB18HTQc7BykHGQcJBvsG7QbhBtYGzQbFBr8Guga2BrQGswazBrUGtwa6Br4GwgbHBs0G0wbZBt8G5QbsBvIG+Ab+BwQHCQcPBxQHGQcdByIHJgcrBy8HNAc4Bz0HQgdIB04HVQdcB2UHbgd4B4MHjwecB6oHugfLB90H8AgECBkIMAhHCF8IeQiTCK4IyQjlCQEJHQk6CVcJcwmPCasJxwniCfwKFgouCkcKXgp0CokKnQqxCsMK1QrmCvULBAsSCyALLQs5C0ULUAtbC2YLcAt6C4QLjguXC6ELqguzC70LxgvOC9cL3wvnC+4L9Qv8DAEMBwwLDA4MEQwTDBQMFAwTDBEMDgwKDAUL/wv4C/AL5wveC9MLyAu8C7ALoguVC4cLeAtqC1oLSws7CywLHAsMCvwK7QrdCs4KwAqyCqQKmAqMCoIKeApwCmkKZApgCl4KXgpgCmQKagpyCnwKiQqXCqcKuArMCuAK9gsNCyQLPAtVC20LhgudC7QLygvfC/IMBAwUDCIMLgw4DD8MRQxJDEoMSgxHDEMMPQw1DCwMIgwXDAoL/QvvC+EL0wvEC7YLqAubC44Lggt3C20LZAtdC1YLUgtOC00LTQtOC1ELVQtaC2ELaAtwC3kLgwuNC5YLoAupC7ILugvBC8cLywvPC9EL0gvRDBoMIQwnDCsMLQwtDCwMKgwnDCQMHwwbDBcMEwwPDAwMCwwKDAoMCwwNDBAMFAwYDB4MJAwqDDAMNww9DEMMSAxNDFEMVAxWDFgMWAxYDFYMVAxRDE0MSAxDDD0MNgwuDCYMHgwVDAsMAAv1C+kL3AvPC8ALsQuiC5ELgQtvC10LSws5CycLFQsDCvEK4ArQCsAKsgqkCpgKjAqCCnkKcQppCmMKXQpXClIKTgpJCkQKPgo5CjIKKgoiChkKDwoDCfcJ6QnbCcwJvAmrCZoJiQl3CWYJVQlECTQJJQkWCQkI/AjwCOYI3AjTCMsIxQi+CLkItAivCKoIpgihCJ0ImAiSCIwIhgh/CHgIcAhnCF4IVQhLCEEINwgsCCIIGAgOCAQH+wfyB+oH4gfbB9UHzwfKB8cHwwfBB8AHvwe/B8AHwgfEB8gHywfPB9QH2AfdB+IH6AfsB/EH9Qf4B/oH/Af8B/sH+Qf1B/AH6QfhB9gHzAfAB7IHpAeUB4QHcwdiB1IHQQcxByIHFAcHBvwG8QboBuEG2wbWBtMG0QbQBs8GzwbQBtAG0QbRBtEG0AbPBs0GygbGBsIGvAa2BrAGqQaiBpsGkwaMBoUGfwZ4BnIGbQZoBmIGXgZZBlMGTgZHBkAGOAYvBiUGGQYMBf0F7QXbBcgFswWeBYcFcAVYBUAFKAURBPoE5ATPBLsEqASYBIgEegRuBGQEWwRTBE0ESAREBEEEPgQ8BDoEOQQ4BDYENQQ0BDIEMAQuBCwEKQQnBCQEIAQcBBgEFAQQBAsEBgQBA/sD9QPuA+cD3wPXA88DxgO9A7QDqgOgA5YDjAODA3kDcANoA2ADWANRA0wDRgNCAz8DPAM5AzgDNgM2AzUDNAM0AzMDMgMwAy8DLAMqAyYDIgMdAxkDEwMOAwgDAgL9AvcC8wLvAusC6ALnAuYC5gLnAuoC7QLxAvUC+gL/AwQDCgMOAxIDFgMYAxkDGAMWAxIDDQMFAvwC8ALjAtUCxQK0AqECjgJ7AmcCVAJBAi8CHQINAf8B8QHmAdwB1QHPAcsByAHHAcgByQHMAc8B0wHXAdsB3gHiAeQB5QHmAeUB4wHgAdsB1gHPAcgBvwG2Aa0BowGaAZABhwF/AXcBcAFrAWYBYgFgAV8BXwFgAWIBZQFpAW0BcgF3AXwBgQGGAYsBjwGTAZcBmQGcAZ0BnwGfAaABoAGgAaABnwGfAZ8BnwGfAaABoQGiAaMBpQGnAagBqgGsAa0BrgGvAa8BrwGuAa0BqgGoAaQBoAGcAZcBkQGMAYYBgQF7AXYBcQFtAWkBZQFiAV8BXQFbAVoBWAFXAVYBVgFVAVMBUgFQAU4BTAFJAUYBQwE/ATsBOAE0ATABLQEqAScBJQEjASIBIQEhASIBIwEkASUBJwEpASsBLAEuAS8BLwEwAS8BLwEuASwBKwEpASgBJwEmASYBJwEpASwBMAE1ATwBRQFPAVoBZwF0AYMBkgGiAbEBwQHQAd4B6gH2Af8CBwIMAhACEQIQAgwCBgH+AfUB6QHcAc4BwAGwAaEBkgGDAXUBaAFcAVEBRwE/ATkBNAEwAS4BLQEsASwBLQEvATABMQEyATMBMwEyATEBLwErASgBIwEeARkBEgEMAQYA/wD4APIA7ADnAOIA3gDbANgA1gDVANUA1QDWANgA2gDcAN8A4wDmAOoA7gDyAPYA+gD+AQIBBgEJAQ0BEAEUARcBGwEeASEBJAEnASoBLQEwATMBNgE4ATsBPQE/AUEBQwFEAUUBRgFHAUgBSAFJAUkBSQFIAUgBSAFIAUgBSAFIAUgBSAFJAUoBSwFNAU4BUAFSAVUBWAFbAV4BYgFlAWkBbAFwAXQBdwF7AX4BggGFAYcBigGMAY8BkQGSAZQBlQGXAZgBmQGaAZsBnAGdAZ4BoAGhAaMBpAGmAagBqgGsAa0BrwGxAbIBtAG1AbUBtgG2AbYBtQG0AbIBsQGvAawBqQGmAaMBoAGdAZoBlgGTAZABjgGLAYkBhwGFAYQBggGBAYEBgAGAAX8BfwF/AX8BfwF+AX4BfQF8AXsBegF5AXgBdgF0AXMBcQFwAW4BbQFrAWoBagFpAWkBaQFpAWoBawFsAW4BcAFyAXQBdgF5AXsBfgGAAYIBhAGFAYcBiAGIAYkBiQGJAYgBhwGGAYUBhAGCAYEBfwF+AXwBegF5AXgBdgF1AXQBcwFzAXIBcQFwAW8BbgFtAWwBagFoAWYBYwFgAVwBWQFUAVABTAFHAUIBPQE4ATIBLQEpASQBIAEbARgBFAERAQ4BCwEJAQcBBQEEAQMBAgEBAQAA/wD/AP4A/gD+AP4A/gD+AP4A/gD/AQABAQECAQQBBgEHAQoBDAEOAREBFAEXARkBHAEfASEBIwEmASgBKgEsAS0BLwEwATIBMwE1ATYBOAE5ATsBPQE/AUIBRAFHAUoBTQFRAVQBVwFbAV4BYgFlAWgBagFtAW8BcQFyAXQBdQF1AXYBdgF2AXUBdQF1AXUBdAF0AXQBdQF1AXYBdwF4AXkBewF9AX4BgAGCAYQBhgGHAYkBigGLAYsBiwGLAYoBiQGIAYYBhAGCAYABfgF8AXoBeQF3AXYBdgF2AXcBeQF7AX0BgQGFAYkBjgGUAZkBoAGmAa0BswG6AcABxwHNAdMB2QHfAeQB6QHvAfQB+QH+AgMCCAIOAhMCGgIgAicCLwI3AkACSQJTAl4CaQJ1AoICkAKeAq0CvALMAt0C7gL/AxEDIwM2A0gDWgNtA38DkQOiA7MDxAPTA+ID7wP8BAgEEwQcBCQELAQyBDgEPQRBBEUESQRMBE8EUwRXBFsEYARmBGwEdAR8BIQEjgSYBKMErgS6BMUE0QTcBOcE8QT8BQUFDgUWBR0FJAUqBTAFNgU7BUEFRwVOBVUFXgVnBXIFfQWKBZkFqAW5BcsF3gXxBgUGGgYuBkIGVgZpBnwGjQadBq0GuwbIBtQG3wbqBvQG/gcHBxEHGwcmBzIHPgdMB1sHawd8B44HoQe1B8gH3QfxCAQIFggoCDcIRQhQCFoIYAhkCGUIZAhgCFoIUghHCDsILgggCBIIAwf0B+YH2AfMB8AHtgetB6YHoAebB5cHkweRB44HjAeJB4YHggd9B3YHbwdlB1sHTgdABzEHIAcPBvwG6QbVBsIGrgabBokGeAZoBlkGTQZBBjgGMQYrBicGJQYlBicGKgYuBjQGOwZCBksGVAZeBmgGcwZ+BokGkwaeBqkGtAa+BskG0wbdBucG8Ab6BwMHDAcVBx4HJgcvBzcHPwdHB08HVwdfB2gHcQd6B4MHjQeYB6MHsAe9B8sH2gfrB/0IEAgkCDoIUAhpCIIInQi5CNcI9QkUCTQJVQl2CZcJuQnaCfwKHQo+Cl8KfgqdCrwK2Ar1Cw8LKQtBC1gLbguCC5YLqAu4C8gL1wvkC/EL/QwIDBIMGwwkDC0MNAw8DEIMSQxODFQMWQxeDGIMZQxpDGsMbgxvDHAMcQxxDHAMbwxtDGoMZwxkDF8MWwxVDE8MSQxCDDoMMgwpDCAMFwwNDAML+AvsC+EL1AvHC7oLrAueC48LfwtvC18LTgs9CywLGwsJCvcK5grVCsQKtQqlCpcKigp+CnQKbAplCmEKXgpeCmAKZAprCnMKfgqMCpsKrAq+CtMK6Ar/CxYLLgtGC18LdwuPC6YLvQvSC+cL+gwMDBwMKww4DEQMTgxWDFwMYAxjDGQMYwxgDFwMVQxODEQMOQwtDCAMEQwBC/EL4AvOC70LqwuaC4kLegtsC18LVAtLC0QLPws9Cz0LQAtEC0wLVQtgC20LfAuLC5sLrAu8C80L3QvsC/kMBgwRDEIMUwxhDGwMdQx7DH8MgQyADH4Mewx2DHAMagxlDF8MWQxVDFEMTgxMDEsMSwxLDE0MTwxRDFMMVgxYDFkMWwxbDFoMWAxWDFIMTQxHDEAMOAwwDCYMHQwTDAgL/gvzC+gL3gvUC8oLwAu2C60LpAubC5ILiQuAC3cLbgtlC1wLVAtKC0ELOAsvCyYLHQsVCwwLBAr8CvUK7QrmCuAK2QrTCs0KxwrBCrsKtQquCqcKoAqYCpAKhwp9CnIKZwpbCk4KQQoyCiQKFAoFCfUJ5QnVCcUJtQmlCZcJiAl6CW0JYQlVCUoJQAk2CS4JJgkeCRcJEAkKCQQI/Qj3CPAI6gjiCNsI0wjKCMEIuAiuCKQImQiOCIQIeAhuCGMIWAhOCEQIOwgyCCoIIwgcCBYIEAgMCAgIBAgCB/8H/gf8B/wH+wf7B/sH/Af9B/4H/wgACAEIAggCCAMIAwgDCAMIAggAB/4H+gf2B/EH6wfjB9sH0QfGB7oHrgegB5EHggdzB2MHUwdDBzMHJAcWBwgG+wbvBuQG2gbRBsoGwwa8BrcGsgauBqkGpQaiBp0GmQaVBpAGiwaFBn8GeQZyBmwGZgZfBlkGUwZNBkgGQwY/BjsGNwY0BjAGLQYpBiQGIAYaBhMGCwYCBfcF6wXdBc0FvAWqBZYFgQVrBVUFPgUmBQ8E+ATiBMwEuASkBJIEgQRxBGMEVgRLBEEEOAQwBCkEIgQdBBcEEwQOBAoEBQQBA/4D+gP2A/MD8APtA+sD6QPoA+cD5gPmA+YD5wPnA+gD6QPqA+oD6gPpA+gD5gPjA+AD2wPVA88DyAPAA7cDrgOkA5sDkQOHA30DdANsA2MDXANVA08DSgNFA0EDPQM6AzcDNQMzAzADLgMrAygDJQMiAx4DGgMWAxEDDAMHAwMC/gL5AvUC8gLvAu0C6wLrAusC7ALuAvAC9AL4AvwDAQMGAwwDEAMVAxkDHAMfAyADIAMeAxsDFgMQAwcC/gLyAuUC1wLIArcCpgKUAoICcAJeAk0CPAIsAh0CEAIEAfkB8AHpAeMB3gHbAdkB1wHXAdcB2AHYAdgB2AHYAdYB1AHRAcwBxgG/AbcBrQGiAZcBigF+AXABYgFUAUcBOgEtASIBFwENAQUA/gD4APQA8QDwAPAA8QDzAPYA+gD/AQQBCQEPARUBGwEhASYBKwEwATQBOAE8AT8BQgFEAUcBSQFLAU0BTwFQAVIBVAFWAVgBWQFbAV0BXgFfAWABYQFhAWABXwFdAVsBWAFVAVEBTQFIAUMBPgE5ATQBLwEqASYBIgEfARwBGgEYARYBFQEVARUBFAEUARQBFAEUARMBEgEQAQ4BDAEJAQYBAgD+APoA9gDyAO8A7ADpAOcA5QDlAOQA5QDmAOgA6wDuAPEA9QD5AP0BAAEDAQYBCAEKAQsBDAEMAQsBCgEJAQgBBwEGAQYBBgEHAQkBDAEQARYBHQElAS4BOAFDAU8BXAFpAXUBggGOAZkBowGsAbMBuAG7Ab0BvAG6AbUBrwGmAZ0BkgGGAXkBbAFfAVIBRQE5AS4BJAEbARMBDQEIAQUBAwECAQIBAwEEAQYBCAELAQ0BDgEQARABEAEPAQ0BCgEHAQIA/QD3APEA6wDkAN4A1wDRAMwAxgDCAL4AuwC4ALYAtQC0ALUAtQC3ALgAuwC9AL8AwgDFAMgAywDOANEA1QDYANsA3wDiAOYA6gDuAPEA9gD6AP4BAwEHAQwBEQEVARkBHgEhASUBKAEsAS4BMQEzATQBNgE3ATgBOAE4ATkBOQE5ATkBOQE5AToBOwE8AT0BPgFAAUIBRAFHAUoBTQFQAVMBVwFaAV4BYgFlAWkBbAFwAXMBdgF4AXsBfQF/AYEBgwGEAYUBhgGHAYgBiQGKAYsBjAGNAY4BjwGRAZIBlAGWAZgBmwGdAZ8BogGkAaYBqAGpAasBrAGsAawBrAGrAaoBqQGnAaQBogGfAZsBmAGVAZEBjQGKAYYBgwGAAX0BewF5AXYBdQFzAXIBcAFvAW4BbQFsAWsBawFpAWgBZwFlAWQBYgFgAV4BXAFaAVkBVwFVAVQBUgFSAVEBUAFQAVEBUQFSAVMBVAFWAVgBWgFcAV4BYQFjAWUBZwFpAWsBbAFtAW4BbwFvAW4BbgFtAWsBagFnAWUBYgFfAVwBWAFUAVEBTQFJAUUBQQE+AToBNwE0ATEBLwEsASoBKAEmASQBIgEgAR4BHQEbARkBFgEUAREBDgELAQgBBQECAP4A+wD3APQA8ADtAOoA5wDlAOIA4ADeAN0A2wDaANkA2QDYANgA2ADXANcA1wDXANYA1gDWANYA1gDWANYA1gDXANgA2ADaANsA3QDeAOEA4wDmAOgA6wDuAPEA9AD3APoA/QD/AQIBBAEGAQgBCgELAQ0BDgEPAREBEgETARQBFQEWARgBGQEaARwBHQEfASABIgEjASUBJgEnASgBKgEqASsBLAEsASwBLAEsASsBKwEqASoBKQEoAScBJgEmASUBJAEkASQBJAEkASQBJAElASYBJwEoASkBKgErASwBLQEuAS8BLwEvATABLwEvAS8BLgEtAS0BLAErASsBKwErASsBLAEtAS8BMgE1ATkBPQFCAUgBTgFUAVsBYwFqAXIBegGCAYkBkQGYAaABpwGuAbQBuwHBAcgBzgHUAdsB4QHoAe8B9wH+AgYCDwIYAiICLAI2AkECTQJYAmUCcQJ+AowCmQKnArUCxALSAuEC7wL+Aw0DGwMpAzcDRQNTA18DbAN3A4IDjQOWA58DpwOtA7QDuQO+A8MDxwPLA88D0wPXA9wD4QPnA+4D9gP/BAkEFAQgBC0EOwRKBFkEaQR5BIkEmQSoBLcExgTTBOAE7AT3BQIFCwUVBR0FJgUvBTcFQQVLBVYFYwVxBYAFkgWkBbkFzwXmBf8GGQY0BlAGawaHBqIGvQbWBu8HBgcbBy8HQAdQB18Hawd2B4AHiQeQB5gHnwemB6wHtAe8B8QHzQfXB+EH6wf2CAEIDAgXCCAIKQgwCDYIOgg8CDsIOQg0CCwIIwgXCAkH+gfpB9gHxgezB6AHjgd9B2wHXAdNB0AHNAcpByAHFwcQBwgHAQb6BvMG7AbjBtkGzgbCBrUGpgaVBoMGcAZcBkcGMgYdBggF8wXgBc0FvQWuBaEFlwWPBYoFiAWIBYoFjwWWBaAFqwW4BcYF1QXlBfYGBwYZBioGPAZNBl4GbgZ+Bo0GnAarBrkGxwbUBuIG7wb8BwkHFgcjBzAHPQdKB1cHZAdxB34HigeXB6QHsAe8B8kH1QfhB+4H+ggHCBUIIggxCD8ITwhgCHEIhAiYCKwIwwjaCPMJDQkpCUUJYwmCCaIJwwnkCgcKKQpMCm8Kkwq2CtgK+gscCz0LXQt8C5kLtgvRC+wMBAwcDDIMRgxZDGsMewyKDJgMpAyvDLoMwgzKDNEM1wzcDN8M4wzlDOYM5wzoDOcM5gzlDOMM4QzfDNwM2QzWDNIMzwzLDMgMxAzBDL0MuQy1DLEMrQypDKUMoAycDJYMkQyLDIQMfQx1DG0MZAxaDE8MQww3DCkMGwwMC/wL6wvaC8gLtgujC48LfAtoC1ULQgsvCx0LDAr8Cu0K3wrTCskKwAq6CrUKswqyCrQKuAq+CsYK0ArcCukK+AsICxkLKws+C1ILZgt6C44Lowu3C8sL3wvzDAYMGAwqDDsMTAxcDGoMeAyEDJAMmQyhDKcMqwytDKwMqQyjDJsMkAyDDHMMYAxMDDUMHQwEC+oL0Au3C54LhgtwC1wLSws+CzMLLAspCyoLLgs3C0ILUQtjC3cLjQukC7wL1QvtDAQMGwwvDEcMWgxrDHgMggyJDI0MjgyMDIgMggx7DHIMaQxgDFcMTgxGDD8MOQw0DDEMLwwuDC4MLwwwDDIMMww1DDYMNgw2DDQMMgwuDCkMIgwbDBIMCQv/C/QL6QveC9MLyAu9C7MLqguhC5oLkwuNC4gLhAuAC30Lewt6C3gLeAt3C3YLdgt1C3QLcwtyC3ALbgtrC2gLZQthC1wLVwtSC0wLRgs/CzgLMQspCyELGQsQCwcK/gr1CuwK4grZCs8KxQq7CrEKpwqcCpIKhwp8CnEKZQpaCk4KQwo3CisKHwoTCgcJ/AnwCeUJ2QnOCcMJuAmuCaMJmQmPCYYJfAlyCWgJXglUCUoJQAk1CSoJHwkUCQgI/AjwCOQI1wjLCL8IswinCJsIkAiFCHsIcQhoCF8IVghOCEYIPwg4CDEIKwgkCB4IGAgSCAwIBggAB/oH9AfvB+kH5AfeB9kH1AfQB8sHxgfBB70HuAezB60HqAehB5sHkweLB4IHeAduB2MHVwdLBz0HMAcjBxUHBwb5BuwG3wbSBsYGuwawBqYGnAaUBosGhAZ8BnUGbwZoBmIGXAZVBk8GSQZCBjwGNgYvBikGIwYdBhgGEwYPBgsGBwYEBgAF/gX7BfgF9QXyBe4F6QXjBdwF1AXLBcAFswWlBZYFhQVyBV8FSgU1BSAFCgT0BN4EyQS1BKEEjgR8BGwEXQRPBEIENgQrBCEEFwQOBAYD/gP2A+4D5gPeA9YDzgPGA78DuAOwA6oDpAOfA5oDlwOUA5IDkQORA5IDlAOWA5kDnAOfA6IDpAOnA6gDqQOpA6gDpgOjA58DmgOUA40DhgN+A3UDbQNkA1wDUwNLA0MDOwM0Ay0DJwMhAxsDFQMQAwoDBQMAAvsC9QLwAuoC5ALeAtgC0QLLAsUCvwK5ArMCrgKpAqUCoQKeApsCmgKYApgCmAKZApoCnAKfAqICpQKpAq0CsAK0ArgCuwK+AsACwgLDAsMCwgLAAr0CuQK0Aq4CpwKfApYCjAKBAnYCawJfAlQCSAI9AjICKAIeAhYCDgIGAgAB+wH2AfIB7gHrAegB5QHiAd8B2wHWAdEBywHDAbsBsQGmAZoBjQF/AXABYQFQAT8BLwEeAQ0A/QDtAN4A0ADDALcArACjAJsAlQCQAIwAigCJAIkAiwCNAJAAlACZAJ4AowCpAK8AtQC7AMAAxgDMANEA1gDbAOAA5ADoAOwA8AD0APgA+wD+AQEBBAEGAQgBCgELAQwBDAEMAQwBCgEJAQcBBAEBAP4A+gD3APMA8ADtAOoA5wDlAOQA4wDjAOMA5ADlAOcA6QDrAO4A8ADyAPMA9QD1APUA9QDzAPEA7gDrAOcA4gDdANgA0gDNAMgAwwC/ALsAuAC2ALUAtAC0ALUAtwC5ALsAvgDBAMQAxwDKAMwAzgDQANEA0gDTANMA0wDTANMA0wDTANQA1gDZANwA4ADmAO0A9AD9AQcBEQEcASgBNAE/AUsBVgFhAWsBcwF7AYABhAGGAYYBhQGBAXwBdQFtAWQBWQFNAUEBNQEoARwBEAEGAPsA8gDqAOQA3gDaANcA1gDWANYA1wDZANwA3gDhAOQA5gDoAOkA6gDqAOkA6ADmAOMA4ADcANgA1ADPAMsAxwDDAL8AvAC5ALYAtACzALIAsQCxALEAsQCxALIAsgCzALMAtAC0ALUAtgC2ALcAuAC5ALoAvAC+AMAAwwDHAMsAzwDTANgA3gDjAOkA7gD0APoA/wEFAQoBDgESARYBGgEdAR8BIQEjASUBJgEnASgBKAEpASoBKgErASwBLQEuATABMQEzATUBNwE6ATwBPwFCAUUBSAFLAU4BUQFTAVYBWQFcAV8BYgFkAWcBaQFrAW4BcAFyAXQBdgF4AXoBfAF+AYABggGEAYYBiAGKAY0BjwGSAZQBlgGZAZsBnAGeAZ8BoAGhAaEBoQGhAaABngGcAZoBlwGUAZEBjQGJAYUBgQF+AXoBdgFzAW8BbAFqAWcBZQFkAWIBYQFfAV4BXQFcAVsBWgFZAVgBVgFUAVMBUQFOAUwBSgFHAUUBQwFAAT4BPAE7ATkBOAE3ATcBNwE3ATcBNwE4ATkBOQE6ATsBPAE9AT0BPgE+AT4BPgE+AT0BPAE8AToBOQE4ATYBNAEyATABLgErASkBJgEjAR8BHAEYARUBEAEMAQgBBAD/APsA9gDyAO4A6gDmAOIA3gDbANgA1QDTANEAzwDNAMsAygDIAMcAxgDEAMMAwgDAAL8AvgC8ALsAuQC4ALYAtQCzALIAsQCwAK8ArgCtAK0ArACrAKsAqgCqAKkAqACoAKcApwCmAKYApQClAKUApgCmAKcAqACpAKsArQCvALIAtQC4ALsAvgDCAMYAygDNANEA1ADXANoA3QDgAOIA5ADmAOgA6QDqAOsA7ADsAO0A7QDtAOwA7ADrAOsA6gDpAOgA5wDmAOUA5ADjAOIA4QDhAOAA3wDfAN4A3gDdAN0A3QDdANwA3ADcANsA2wDaANkA2ADXANYA1QDUANMA0QDQAM8AzgDNAMwAzADLAMsAywDLAMwAzADNAM4AzwDQANEA0wDUANUA1wDZANsA3QDgAOMA5gDqAO4A8gD3AP0BAwEKAREBGQEhASoBMwE8AUUBTgFYAWEBawF0AX0BhgGPAZgBoAGpAbIBugHDAcsB1AHdAeYB7wH4AgICCwIVAh8CKQIzAj0CRwJRAlsCZQJvAngCggKLApQCnQKmAq8CuALBAsoC0wLcAuUC7gL3AwADCAMRAxkDIQMoAy8DNgM9A0MDSQNOA1QDWQNfA2UDawNyA3kDggOKA5QDnwOrA7gDxgPVA+UD9gQHBBkEKwQ9BE4EYARxBIEEkQSfBK0EugTGBNEE2wTlBO8E+QUDBQ4FGQUmBTMFQwVUBWYFewWSBasFxQXhBf4GHQY8BlwGfQadBrwG2gb3BxMHLAdDB1gHawd7B4gHlAecB6MHqAerB60HrgeuB64HrgetB64HrgevB7EHswe2B7oHvgfCB8YHygfOB9EH0wfUB9QH0wfQB8wHxge/B7YHrAehB5UHiAd6B2wHXgdQB0EHMwckBxYHCAb6BusG3QbOBr8GrwaeBowGegZmBlEGOwYkBgwF9AXbBcEFqAWQBXgFYQVMBTkFKAUaBQ4FBgUBBQAFAQUHBQ8FGwUqBTsFTwVlBXwFlQWwBcoF5QYABhsGNQZOBmcGfgaVBqoGvgbRBuMG9AcEBxMHIgcxBz8HTQdbB2kHdweFB5QHoweyB8EH0AfgB/AH/wgPCB8ILwg+CE4IXghtCH0IjAicCKwIvAjMCNwI7Qj/CREJJAk3CUwJYQl3CY8JpwnACdsJ9goSCi8KTQpsCowKrArMCu0LDgsvC08LcAuQC7ALzwvuDAsMKAxDDF0MdgyODKQMuQzMDN4M7gz9DQoNFQ0fDSgNLw01DTkNPA0+DT4NPg09DTsNOA01DTINLg0pDSUNIQ0dDRkNFQ0SDQ8NDQ0LDQkNCA0HDQcNBw0HDQcNBw0HDQYNBQ0EDQIM/wz8DPcM8gzsDOQM3AzSDMgMvQywDKMMlQyGDHcMZwxWDEUMNAwjDBEMAAvuC90LzAu7C6sLnAuOC4ALcwtoC14LVQtNC0gLQwtACz8LQAtBC0ULSQtPC1cLXwtoC3ILfQuJC5ULoQutC7oLxwvUC+IL8Av+DAwMGwwqDDkMSQxZDGkMeQyJDJkMqAy3DMQM0AzaDOEM5wzpDOgM5AzdDNIMwwyxDJwMhAxpDEwMLgwPC+8L0AuyC5YLfAtlC1ILQws4CzILMAszCzoLRgtVC2gLfguWC7ALywvlDAAMGgwxDFgMaAx2DIEMiAyMDI0MjAyHDIEMeAxuDGMMWAxNDEIMOAwvDCcMIQwcDBkMFwwWDBcMGQwcDB8MIgwlDCcMKQwqDCoMKgwnDCQMIAwaDBQMDAwEC/wL8wvrC+IL2gvSC8sLxQu/C7sLtwu0C7ILsQuwC7ALsQuyC7MLtAu2C7cLuQu6C7oLugu6C7kLuAu1C7ILrwuqC6ULnwuYC5ELiQuAC3cLbgtkC1oLUAtGCzwLMgsoCx8LFgsOCwYK/gr2CvAK6QriCtwK1grPCskKwgq7CrMKqwqiCpgKjgqDCngKbApfClIKRQo3CikKGwoNCf8J8gnkCdcJygm+CbIJpgmbCY8JhAl5CW4JYwlYCUwJQAk1CSgJHAkPCQII9QjoCNoIzQi/CLIIpAiXCIoIfQhwCGMIVghKCD0IMQgkCBgIDAgAB/QH6AfdB9EHxge7B7AHpgedB5QHiweDB3sHdAduB2gHYgddB1gHUwdOB0kHQwc9BzcHMAcpByAHFwcOBwQG+QbuBuIG1gbKBr4GsgamBpoGjwaEBnoGcAZmBl0GVAZMBkUGPQY2Bi4GJwYgBhkGEgYLBgQF/QX2Be8F6AXiBdwF1gXRBcwFxwXCBb4FugW3BbMFrwWqBaUFoAWZBZIFiQV/BXQFaAVaBUsFOwUpBRcFBATwBNwExwSzBJ8EjAR5BGcEVgRFBDYEKAQbBA4EAwP4A+4D5APaA9EDyAO+A7UDqwOhA5cDjQODA3kDbwNlA1wDUwNMA0UDPwM6AzYDMgMwAy8DLwMvAy8DMAMyAzMDNAM1AzUDNQM0AzMDMQMuAysDJgMiAx0DFwMSAwwDBgMAAvoC9ALuAugC4gLcAtcC0QLLAsQCvgK3Aq8CqAKgApcCjwKGAn0CdAJqAmECWQJQAkgCQAI5AjICLQInAiICHgIbAhgCFQITAhICEQIQAhACEAIQAhECEgITAhUCGAIaAh0CIQIlAikCLgIyAjcCPAJAAkUCSAJMAk8CUQJSAlICUgJQAk4CSwJHAkMCPgI5AjMCLgIoAiMCHgIZAhQCEAIMAgkCBQICAf8B/AH4AfQB7wHqAeQB3AHUAcoBvwG0AaYBmAGIAXgBZgFUAUIBLwEcAQkA9gDkANIAwQCxAKIAlACHAHsAcQBoAGEAWgBVAFEATwBNAE0ATQBOAFAAUwBWAFoAXgBiAGcAbABxAHYAfACBAIcAjACRAJYAnAChAKUAqgCuALIAtgC6ALwAvwDAAMIAwgDDAMIAwQDAAL4AvAC5ALcAtQCyALAArwCuAK4ArwCwALIAtQC5AL0AwgDHAM0A0wDZAN8A5ADpAO0A8ADyAPIA8gDxAO4A6gDmAOAA2QDTAMsAwwC7ALQArAClAJ8AmQCTAI8AiwCIAIUAgwCCAIEAgACAAIAAgACAAIEAgQCCAIIAgwCEAIUAhwCJAIsAjwCTAJcAnQCkAKwAtAC9AMgA0wDfAOsA9wEEAREBHQEqATUBQAFKAVIBWQFfAWQBZgFoAWcBZQFhAVsBVQFNAUMBOQEvASQBGAENAQEA9wDsAOMA2gDTAMwAxwDDAMAAvgC9AL0AvgDAAMIAxQDHAMoAzQDPANEA0gDTANQA1ADTANIA0QDPAMwAygDHAMUAwwDAAL4AvAC7ALkAuAC4ALcAtgC2ALUAtQC0ALMAsgCwAK8ArQCrAKgApgCkAKIAoACeAJ0AnACcAJwAnQCfAKIApQCoAK0AsQC3ALwAwgDIAM4A1ADaAN8A5QDqAO4A8gD2APoA/QEAAQIBBQEHAQkBCwEMAQ4BEAERARMBFQEWARgBGgEbAR0BHwEgASIBJAElAScBKQErAS4BMAEzATUBOAE7AT8BQgFGAUoBTwFTAVcBXAFgAWUBaQFuAXIBdgF6AX4BggGFAYkBjAGPAZEBlAGWAZgBmgGbAZwBnQGdAZ0BnQGcAZsBmQGXAZUBkgGPAYsBhwGDAX8BegF2AXEBbAFoAWQBXwFbAVgBVAFSAU8BTQFLAUkBSAFHAUYBRQFEAUMBQgFBAUABPwE+ATwBOwE5ATcBNQEzATEBLwEtASsBKgEoAScBJQEkASMBIgEiASEBIAEfAR4BHQEbARkBFwEVARIBDwEMAQgBBQEBAP4A+gD3APQA8QDuAOwA6gDoAOYA5QDkAOMA4gDiAOAA3wDeANwA2gDXANQA0QDNAMkAxADAALsAtgCwAKwApwCiAJ4AmgCWAJMAkQCPAI0AjACLAIoAigCKAIoAigCKAIoAigCKAIoAiQCJAIgAhwCGAIUAhACDAIIAgQCAAH4AfQB8AHsAegB5AHgAdwB2AHYAdQB1AHUAdQB1AHYAdwB4AHoAfAB+AIEAhACHAIoAjgCSAJYAmgCeAKIApQCpAKwArwCyALUAtwC5ALsAvAC9AL4AvwC/AL4AvgC9ALwAuwC5ALcAtQCyALAArQCqAKYAowCgAJwAmQCWAJMAkACNAIsAiQCIAIcAhgCGAIYAhgCGAIcAhwCIAIgAiQCJAIgAiACHAIYAhQCEAIIAgAB+AH0AewB5AHgAdwB2AHYAdwB3AHgAegB8AH4AgQCEAIgAiwCPAJMAlwCcAKEApgCrALAAtgC8AMMAygDSANoA4gDsAPUA/wEKARUBIAEsATgBRAFQAVwBaAF0AYABjAGYAaMBrgG6AcUBzwHaAeUB7wH5AgQCDgIXAiECKgIzAjsCQwJKAlECVwJdAmICZgJqAm4CcAJzAnYCeAJ6AnwCfwKCAoUCiQKNApICmAKeAqQCqwKzArsCwwLLAtQC3QLnAvAC+QMDAw0DFwMhAywDNwNCA04DWgNnA3UDgwOSA6EDsQPBA9ID4gPyBAMEEwQiBDEEPwRMBFgEYwRuBHcEgASIBJAElwSeBKYErgS3BMAEywTYBOYE9gUIBR0FMwVLBWUFgAWdBbwF2wX7BhoGOgZZBncGlAavBsgG3wbzBwUHEwcgBykHLwczBzUHNAcyBy8HKgclBx8HGQcUBxAHDAcKBwkHCQcLBw8HFQcbByMHLAc3B0EHTAdXB2IHbAd1B30HgweIB4wHjQeMB4oHhQd+B3QHaQdcB0wHOwcoBxMG/QbmBswGsgaWBnoGXAY+BiAGAQXhBcIFowWFBWcFSwUwBRYE/wTqBNcExwS7BLIErASqBKsEsAS4BMUE1ATnBP0FFQUwBU0FawWLBawFzgXwBhIGMwZUBnQGkwaxBs0G6AcCBxoHMQdHB1sHbgeAB5IHogeyB8EH0AffB+4H/QgLCBoIKQg4CEcIVwhmCHYIhgiXCKcItwjICNkI6gj7CQwJHQkuCT8JUQljCXUJhwmZCawJvwnTCecJ+woQCiYKPApTCmoKggqbCrQKzgrpCwQLIAs8C1gLdQuSC7ALzQvqDAcMIww/DFsMdgyPDKgMwAzWDOsM/g0QDSANLw08DUcNUA1YDV4NYw1mDWgNaA1nDWYNYw1gDVwNWA1TDU8NSg1GDUINPw09DTsNOg05DToNOw09DT8NQg1FDUkNTA1PDVINVQ1WDVcNVg1VDVINTg1IDUENOA0uDSMNFw0KDPwM7gzfDM8MwAywDKEMkQyDDHQMZgxZDEwMQAw0DCkMHgwUDAsMAQv5C/EL6QviC9sL1QvQC8wLyAvGC8QLwwvDC8QLxQvIC8sLzwvUC9kL3gvkC+kL7wv0C/oMAAwFDAsMEAwWDB0MIwwrDDMMPAxGDFEMXQxqDHcMhgyUDKMMsQy/DMwM1wzhDOcM6wzsDOoM5AzaDM0MvAyoDJEMeAxdDEAMIwwGC+oLzwu3C6ELjwuAC3YLcAtvC3ILeguFC5QLpwu7C9IL6QwBDBkMLwxFDKIMsAy7DMQMygzNDM4MzAzIDMEMugyxDKcMnQyTDIkMgAx4DHAMagxmDGIMYAxfDF8MYAxhDGIMZAxmDGcMaAxoDGgMZwxlDGMMYAxcDFgMVAxQDEsMRwxDDD8MPAw4DDYMNAwyDDAMLgwtDCwMKwwqDCgMJgwkDCIMHwwbDBcMEwwNDAgMAgv7C/QL7AvkC9wL0wvKC8ALtgusC6ELlwuMC4ALdQtqC14LUwtICz4LMwspCyALFwsPCwcLAAr5CvMK7QroCuIK3QrYCtMKzQrHCsAKuAqwCqcKnQqRCoUKeApqClwKTAo9Ci0KHQoNCf4J7gngCdEJxAm3CasJnwmUCYoJfwl2CWwJYwlZCU8JRQk7CTAJJAkYCQwI/gjwCOII0wjDCLQIowiTCIMIcghiCFEIQQgwCCAIEAgBB/EH4gfUB8UHtweqB50HkQeFB3oHbwdlB1wHUwdMB0QHPgc4BzIHLgcpByQHHwcbBxYHEAcKBwQG/Qb2Bu0G5AbaBs8GxAa5Bq0GoAaTBocGegZuBmIGVgZKBj8GNQYrBiEGGAYQBgcF/wX3BfAF6AXgBdgF0AXIBcAFuAWvBacFnwWWBY4FhwV/BXgFcQVqBWQFXgVYBVIFTAVHBUAFOgUzBSsFIwUZBQ8FBAT3BOoE2wTLBLsEqgSYBIYEcwRhBE4EPAQqBBkECAP4A+kD2gPMA78DswOnA5sDkAOGA3sDcANmA1sDUANFAzoDMAMlAxoDEAMGAvwC8wLrAuMC3QLXAtICzgLKAsgCxgLFAsMCwwLCAsECwQLAAr8CvQK7ArgCtgKyAq8CqwKnAqMCnwKaApYCkgKNAokChQKAAnwCdwJxAmwCZQJeAlYCTgJFAjsCMAIlAhkCDQIBAfUB6QHdAdIByAG+AbUBrQGmAaABmwGXAZMBkQGOAYwBiwGKAYkBiAGHAYYBhQGEAYQBhAGEAYUBhwGKAY4BkwGYAZ8BpwGwAbkBxAHOAdkB5AHvAfkCAgILAhICGAIdAiECIwIkAiMCIgIgAh4CGwIXAhQCEQIOAgsCCQIHAgYCBQIFAgQCBAIDAgICAQH+AfsB9gHwAekB4AHWAcoBvQGuAZ4BjQF7AWgBVQFBAS4BGgEHAPQA4QDPAL4ArgCfAJIAhQB5AG4AZQBdAFUATwBKAEUAQgA/AD0APAA7ADsAPAA9AD8AQQBEAEgASwBQAFQAWQBfAGQAagBwAHYAfACCAIgAjQCSAJcAmwCeAKAAoQCiAKEAoACfAJwAmQCWAJIAjwCMAIkAhwCGAIUAhgCIAIsAjwCUAJoAoQCoALAAuADAAMgAzwDVANsA3wDiAOMA5ADiAOAA3ADXANAAyQDBALkAsACoAJ8AlgCOAIYAfwB4AHEAawBmAGAAXABYAFMAUABMAEkARgBDAEEAPwA+AD0APQA+AEAAQwBGAEsAUgBZAGEAawB1AIEAjQCaAKgAtgDDANEA3wDsAPkBBQEQARoBIwErATIBOAE8AT4BQAFAAT8BPQE5ATUBLwEpASIBGgESAQoBAQD4APAA5wDfANgA0QDLAMYAwQC9ALsAuQC4ALcAuAC5ALoAuwC9AL8AwADCAMMAxADEAMQAwwDCAMEAvwC9ALoAuAC2ALQAsgCwAK8ArgCtAK0ArQCuAK4ArwCvALAAsACwAK8ArgCtAKsAqAClAKIAngCaAJcAkwCPAIwAiQCHAIUAhACDAIQAhQCHAIkAjQCQAJQAmQCeAKMApwCsALEAtgC6AL8AwwDHAMsAzgDSANUA2QDcAN8A4wDmAOkA7QDwAPMA9gD4APsA/QEAAQEBAwEEAQYBBwEIAQkBCgEMAQ0BDwERARQBFwEbAR8BJAEpAS8BNQE7AUIBSQFQAVcBXQFkAWoBcAF2AXsBgAGEAYgBjAGPAZEBkwGVAZYBlwGXAZcBlwGXAZYBlQGTAZIBkAGNAYoBhwGEAYABfAF4AXMBbgFpAWQBXwFaAVUBUAFLAUcBQwFAAT0BOgE4ATYBNAEzATIBMgEyATEBMQExATEBMQEwATABLwEuAS0BKwEpASgBJgEkASIBHwEdARsBGQEXARUBEgEQAQ0BCwEIAQUBAQD+APkA9QDwAOsA5QDfANkA0wDNAMcAwgC8ALgAswCvAK0AqgCpAKgApwCnAKgAqQCqAKsArACtAK0ArQCsAKsAqACmAKIAngCaAJUAjwCKAIUAfwB6AHUAcQBtAGkAZwBlAGMAYgBiAGIAYwBjAGQAZQBmAGcAaABoAGgAaABoAGgAZwBmAGUAZABiAGEAXwBeAF0AWwBaAFgAVwBWAFUAVABTAFMAUgBSAFIAUwBTAFQAVQBXAFkAWwBdAGAAYwBmAGkAbABvAHMAdgB5AHsAfgCAAIEAgwCEAIQAhACEAIQAgwCCAIAAfwB9AHsAeQB3AHQAcQBvAGsAaABkAGAAXABYAFMATwBKAEUAQAA7ADcAMgAuACoAJwAkACIAIAAfAB4AHQAdAB4AHwAfACAAIQAiACMAJAAlACUAJgAmACYAJwAoACgAKQArACwALgAxADQANwA7AEAARQBKAFAAVQBbAGIAaABuAHUAewCCAIkAkACXAJ8ApgCvALgAwQDLANYA4gDuAPoBCAEWASQBMwFCAVEBYAFvAX8BjgGcAasBuQHGAdMB4AHsAfgCAwIOAhgCIgIrAjQCPAJEAkoCUAJVAlkCXQJfAmACYAJfAl4CWwJZAlUCUQJNAkkCRQJBAj4CPAI6AjoCOgI8Aj8CQwJIAk8CVgJfAmgCcgJ+AokClgKjArECvwLOAt0C7AL8Aw0DHgMvA0EDVANmA3kDjAOfA7IDxAPWA+gD+AQHBBUEIgQtBDcEPwRGBEsETwRRBFIEUwRTBFMEUwRUBFYEWARcBGIEaQRzBH8EjQSdBLAExATbBPMFDQUoBUQFYQV+BZoFtgXSBesGBAYaBi8GQQZRBl4GaQZxBncGewZ8BnwGegZ3BnMGbgZpBmUGYQZdBlsGWwZcBl8GZQZsBnYGgwaRBqIGtAbHBtwG8QcGBxsHMAdCB1QHYwdvB3kHfweCB4AHewdyB2UHVAc/ByYHCgbrBsoGpgaABlkGMQYJBeAFuAWQBWoFRgUkBQQE5gTLBLQEnwSOBIAEdgRwBG0EbQRxBHgEggSPBJ8EsgTHBN4E9wUSBS4FTAVrBYsFrAXNBe8GEQYyBlQGdgaXBrcG1wb3BxYHMwdQB2wHiAeiB7sH0wfrCAEIFggrCD8IUghkCHUIhgiXCKcItgjGCNUI5AjzCQIJEQkhCTAJQAlQCWAJcQmCCZMJpAm2CcgJ2gnsCf8KEQokCjcKSgpdCnAKhAqXCqsKvgrSCucK+wsRCyYLPAtSC2kLgAuYC7ALyQviC/sMFAwuDEgMYQx6DJMMqwzCDNkM7g0DDRUNJw03DUUNUg1dDWcNbg11DXkNfQ1/DYANgA1/DX0New15DXYNdA1xDXANbg1uDW4Nbw1xDXQNdw17DYANhg2MDZINmA2eDaMNpw2rDa0Nrg2tDaoNpg2fDZYNjA1/DXENYQ1QDT0NKQ0VDQEM7QzZDMYMtAyjDJQMhQx5DG4MZAxcDFYMUAxMDEkMRgxDDEEMPww9DDoMNww0DDEMLQwpDCUMIQwdDBoMFwwUDBIMEQwRDBIMEwwUDBcMGgwdDCAMIwwmDCgMKwwtDC4MLwwwDDEMMgwzDDQMNww6DD4MRAxLDFMMXQxoDHQMgQyPDJ4MrAy6DMYM0QzaDOEM5QzmDOQM3wzWDMsMvAysDJkMhAxvDFoMRQwxDB4MDgwBC/cL8QvtC+4L8gv6DAUMEwwjDDUMRwxbDG4MgQyTDRQNIg0uDTgNQA1GDUoNTA1NDUsNSA1EDT8NOQ0zDSwNJg0gDRkNFA0ODQkNBA0ADPwM+Az0DPEM7QzpDOUM4QzeDNoM1gzSDM8MzAzJDMcMxQzFDMQMxAzFDMYMxwzJDMoMzAzMDM0MzQzMDMkMxgzBDLwMtAyrDKEMlgyJDHwMbQxeDE4MPgwuDB0MDQv8C+wL3QvOC78LsAuiC5ULiAt7C28LYwtXC0wLQAs1CyoLIAsVCwsLAQr3Cu4K5QrcCtQKzArECrwKtQqtCqYKngqWCo0KhQp7CnEKZgpbCk8KQgo0CiYKGAoJCfoJ6wncCc0JvwmxCaQJlwmLCYAJdglsCWIJWQlRCUgJQAk3CS4JJQkbCREJBgj6CO0I4AjRCMIIswiiCJEIgAhuCFwISgg4CCYIFAgCB/EH4AfQB8AHsQejB5UHiAd8B3EHZgdcB1MHSwdEBz0HNwcxBywHJwciBx4HGQcUBw8HCQcDBvwG9QbsBuMG2QbNBsEGtQanBpkGigZ7BmwGXAZNBj4GLgYgBhIGBAX3BesF3wXUBckFvwW1BawFowWaBZIFiQWABXcFbgVlBVwFUwVJBUAFNgUtBSMFGgUQBQcE/gT2BO4E5gTeBNcE0ATJBMIEuwS0BKwEpAScBJMEiQR/BHQEZwRbBE0EPwQwBCAEEAQAA+8D3wPOA70DrQOdA40DfgNuA2ADUgNEAzcDKQMdAxADBAL3AusC3wLUAsgCvQKyAqgCngKUAowChAJ9AncCcQJtAmkCZwJlAmQCYwJjAmMCZAJkAmUCZQJlAmQCYwJiAmACXQJbAlcCVAJQAksCRwJCAj0COAIzAi0CKAIhAhsCEwIMAgMB+QHvAeQB2AHLAb0BrwGgAZEBggFyAWQBVgFJATwBMgEoASABGQEUARABDgEMAQwBDAENAQ8BEAESARMBFAEVARYBFwEXARgBGQEbAR0BIAEkASkBLwE4AUEBTAFYAWUBcwGBAZABnwGtAbsBxwHSAdwB5AHqAe4B8QHxAfEB7wHsAegB5AHgAdsB2AHVAdMB0gHSAdMB1QHXAdoB3gHhAeQB5wHpAeoB6QHnAeMB3gHXAc0BwwG2AagBmQGJAXcBZQFTAUABLgEbAQkA9wDmANYAxgC3AKoAnQCRAIYAewByAGkAYgBaAFQATgBJAEQAQAA8ADkANwA1ADQAMwAzADQANgA4ADwAQABFAEsAUgBZAGEAaQBxAHoAggCJAJEAlwCcAKAAowCkAKQAowCgAJwAlwCRAIsAhAB9AHcAcQBsAGgAZQBkAGMAZQBoAGwAcQB4AH8AhgCOAJYAnQCkAKoArgCyALQAtQC1ALMAsACsAKcAogCcAJUAjwCIAIEAewB1AG8AagBkAF8AWwBWAFEATQBIAEMAPgA5ADQAMAArACcAIwAgAB4AHAAcAB0AHwAjACgALgA2AD8ASABTAF8AawB4AIUAkQCeAKoAtgDAAMoA1ADcAOMA6QDvAPMA9gD5APsA/AD8APwA+wD6APgA9gDzAO8A7ADoAOQA3wDbANYA0gDNAMkAxQDBAL4AuwC5ALcAtgC1ALQAtAC1ALUAtgC2ALcAtwC3ALYAtQC0ALEArwCsAKkApQCiAJ4AmgCXAJQAkgCRAJAAjwCQAJEAkwCVAJgAmwCeAKEApACmAKgAqQCpAKkAqACmAKMAoACcAJgAkwCPAIoAhgCCAH8AfQB7AHkAeQB5AHoAewB9AH8AggCFAIgAiwCOAJEAlACXAJoAnQCgAKMApgCqAK0AsQC1ALkAvgDCAMcAzADRANYA2wDfAOMA5wDqAOwA7gDwAPEA8gDzAPMA9AD0APUA9gD4APoA/QEAAQQBCQEPARUBHAEjASoBMgE6AUIBSgFSAVkBYAFmAWwBcQF1AXkBfQGAAYIBhAGFAYYBhwGHAYgBiAGHAYcBhgGGAYQBgwGBAX8BfQF6AXcBcwFvAWsBZgFhAVwBVwFSAU0BSAFDAT8BOwE3ATQBMgEwAS4BLQEtAS0BLQEuAS8BMAExATIBMwE0ATQBMwEyATEBLwEtASoBJgEiAR4BGgEVARABDAEHAQIA/gD5APQA8ADsAOcA4wDeANoA1QDQAMoAxQC/ALkAsgCsAKUAnwCZAJMAjgCJAIUAggB/AH0AfAB7AHsAewB8AH0AfgB/AH8AgAB/AH8AfQB8AHkAdgByAG4AagBlAGEAXABYAFQAUQBOAEwASwBKAEkASgBKAEsATQBOAFAAUQBTAFQAVQBVAFYAVQBVAFQAUwBRAFAATgBMAEsASQBHAEUARABCAEEAPwA+AD0AOwA6ADkAOAA3ADYANQA0ADQAMwAzADQANAA1ADYANwA4ADkAOwA8AD4APwBAAEAAQABAAEAAPwA9ADsAOQA2ADMAMAAsACkAJQAiAB4AGgAXABMAEAANAAkABgAD////+//3//P/7//q/+X/4f/c/9f/0v/O/8n/xf/B/73/uv+4/7X/tP+y/7H/sf+x/7H/sv+z/7X/tv+5/7v/vv/B/8X/yf/O/9P/2f/g/+f/7//3//8ACAASABsAJQAvADgAQgBLAFQAXQBmAG8AdwB/AIgAkACZAKMArQC3AMMAzwDcAOoA+AEIARgBKQE7AU0BXwFxAYMBlQGmAbcBxwHXAeUB8wH/AgsCFgIgAikCMQI4Aj4CRAJIAkwCTwJRAlICUgJRAk4CSwJHAkECOwI0AiwCJAIbAhICCgIBAfkB8gHsAecB4wHgAeAB4AHiAeYB6gHxAfgCAQILAhUCIQItAjoCSAJXAmYCdgKHApkCrAK/AtQC6gMBAxkDMgNLA2UDfwOZA7MDzAPkA/sEEAQiBDMEQARLBFMEWQRbBFsEWARTBE0ERAQ7BDIEKAQfBBcEEQQMBAkECQQLBBAEGAQiBC8EPgRQBGMEeASPBKcEvwTYBPAFCQUhBTgFTgVjBXcFiQWaBakFtwXDBc4F1wXfBeYF6wXwBfQF+AX8Bf8GBAYIBg4GFAYcBiYGMAY9BksGWgZsBn4GkQalBroGzgbiBvQHBQcUByEHKgcvBzEHLgcnBxsHCgb1BtsGvQabBnUGTAYhBfQFxgWXBWkFOwUPBOUEvgSZBHkEXAREBDEEIQQXBBEEDwQSBBgEIgQwBEAEUwRpBIAEmQSyBM0E6AUEBSAFPAVYBXMFjwWrBcYF4gX+BhsGNwZUBnIGkAavBs4G7gcOBy4HTwdwB5EHsQfRB/EIEAguCEsIZwiBCJsIswjKCOAI9QkICRsJLQk+CU4JXgluCX0JjQmcCawJvAnMCdwJ7Qn+Cg8KIQoyCkQKVwppCnsKjgqgCrMKxQrXCuoK/AsOCyALMgtDC1ULZwt6C4wLnwuyC8UL2QvtDAEMFgwrDEAMVgxsDIEMlwysDMIM1gzqDP0NDw0hDTENQA1NDVkNZA1uDXcNfg2EDYkNjg2RDZQNlw2ZDZsNnQ2fDaINpQ2oDawNsQ22Db0Nww3LDdIN2g3jDesN8w37DgMOCQ4ODhIOFA4VDhMOEA4KDgEN9g3oDdkNxg2yDZwNhA1rDVINNw0dDQQM6wzTDL0MqgyYDIgMfAxyDGoMZQxiDGEMYQxjDGYMaQxtDHAMcwx1DHUMdQxzDHAMbAxnDGEMWgxTDEwMRQw+DDgMMwwuDCwMKgwqDCoMLAwvDDIMNQw5DD0MQAxDDEYMRwxIDEkMSAxIDEcMRwxHDEcMSQxMDFAMVgxeDGcMcwx/DI0MnAysDLwMzAzaDOgM9Az+DQYNCw0NDQ0NCQ0DDPsM8AzkDNcMyQy7DK4MogyXDI4MiAyEDIMMhQyKDJEMmwynDLUMxAzUDOUM9Q0FDWMNcQ1/DYsNlg2gDakNsA22DboNvQ2/DcANvw2+DbsNuQ21DbANrA2mDaANmg2UDY0NhQ1+DXYNbg1nDV8NWA1SDUsNRg1BDT4NOw05DTkNOQ07DT0NQA1DDUcNSw1ODVENUw1UDVQNUg1PDUkNQg05DS0NHw0QDP4M6wzWDMEMqgySDHsMYwxLDDQMHQwHC/IL3wvMC7oLqgubC40LgAt0C2gLXQtSC0gLPQszCygLHgsTCwgK/ArxCuUK2QrNCsEKtQqpCp0KkgqGCnsKbwpkClkKTgpDCjkKLgoiChcKCwoACfQJ6AncCdAJxAm3CasJoAmUCYkJfglzCWkJXwlWCUwJQwk5CTAJJgkdCRMJCAj9CPII5gjZCMsIvQiuCJ8Ijgh9CGwIWghICDYIIwgRB/4H7AfaB8gHtwemB5YHhwd4B2sHXgdTB0gHPwc2By8HKAciBxwHGAcTBw4HCgcFBwAG+wb1Bu4G5gbdBtMGyAa8Bq4GoAaRBoEGcQZfBk4GPAYqBhgGBwX1BeQF1AXEBbQFpgWYBYoFfQVxBWUFWQVOBUQFOgUvBSYFHAUSBQkFAAT2BO0E4wTaBNEExwS+BLUEqwSiBJgEjwSGBH0EdARrBGIEWQRRBEgEPwQ3BC4EJQQdBBQECwQBA/cD7QPiA9cDzAPAA7MDpgOZA4sDfQNuA18DUANBAzIDIwMUAwUC9gLoAtkCywK9Aq4CoQKTAoYCeQJsAl8CVAJIAj4CNAIqAiICGwIUAg8CCwIIAgYCBgIGAgcCCQILAg4CEQIUAhcCGgIcAh4CHwIfAh8CHQIbAhgCFAIPAgoCBAH9AfUB7QHlAdwB0gHJAb4BswGnAZoBjQF/AXABYQFRAUEBMAEfAQ4A/gDuAN4A0ADDALgArgClAJ8AmgCXAJYAlgCYAJsAnwCkAKkArgC0ALkAvQDCAMYAyQDMAM8A0wDWANkA3gDjAOoA8QD6AQQBDwEcASkBNwFGAVQBYwFwAX0BiAGSAZoBoAGkAaYBpQGkAaABnAGWAZEBigGFAX8BewF4AXYBdQF2AXgBfAGAAYYBiwGRAZcBnQGhAaQBpwGnAaYBowGeAZcBjwGFAXoBbQFfAVABQAEwASABEAEAAPAA4ADRAMIAtACnAJsAjwCEAHkAcABnAF4AVgBPAEgAQQA7ADUAMAArACYAIgAeABsAGAAWABUAFAAVABcAGgAeACMAKQAxADkAQgBLAFYAYABpAHMAewCDAIkAjgCRAJIAkQCOAIoAhAB9AHQAbABiAFkAUABIAEEAOwA3ADQAMwAzADYAOQA+AEQASgBRAFgAXwBlAGoAbwByAHQAdgB2AHUAcwBwAG0AaQBlAGEAXQBaAFYAUwBRAE4ATABKAEgARgBEAEIAPwA8ADkANQAxACwAKAAjAB8AGwAXABQAEQAQABAAEQASABUAGQAfACUALAAzADsAQwBMAFUAXQBlAG0AdQB8AIIAiACOAJMAlwCbAJ8AowCmAKoArQCwALIAtQC4ALoAvAC9AL4AvwDAAMAAwAC/AL4AvQC8ALoAuQC4ALcAtgC1ALUAtQC2ALYAuAC5ALoAuwC8AL0AvQC8ALsAugC3ALQAsACsAKcAoQCcAJYAkQCMAIgAhACBAH8AfgB+AH8AgQCEAIcAiwCPAJMAlwCaAJ0AnwChAKEAoQCfAJ0AmgCWAJIAjQCIAIMAfwB6AHcAcwBxAG8AbgBtAG4AbgBvAHEAcgB0AHYAeAB5AHsAfAB+AH8AgQCDAIUAhwCKAI0AkQCVAJoAoACmAKwAsgC5AL8AxQDLANAA1QDZANwA3gDgAOAA4QDgAOAA3wDfAN4A3gDfAOAA4gDlAOkA7gDzAPoBAQEJARIBGwEkAS0BNgE+AUcBTwFWAV0BYwFpAW4BcgF2AXkBfAF+AYABggGDAYQBhQGGAYYBhgGFAYQBgwGBAX8BfQF6AXYBcgFtAWgBYwFeAVgBUgFMAUcBQQE8ATgBNAEwAS0BKwEqASkBKQEqASsBLQEvATIBNAE3ATkBOwE8AT0BPQE8AToBNwEzAS8BKQEiARsBEwELAQMA+gDyAOkA4gDaANMAzQDHAMIAvQC5ALQAsACtAKkApQChAJwAlwCSAI0AhwCCAHwAdgBwAGsAZgBhAF0AWQBXAFQAUgBRAFAAUABPAE8ATgBOAE0ATABLAEkARwBFAEMAQAA9ADsAOAA2ADUAMwAzADIAMwA0ADUANwA4ADsAPQA/AEAAQgBDAEMAQwBDAEIAQAA+ADwAOQA3ADQAMQAuACwAKQAnACUAIgAgAB4AHAAaABgAFgAUABEADwAMAAkABgADAAD//v/7//n/9//1//T/8//y//L/8v/y//L/8v/x//H/8P/v/+3/6//o/+X/4f/d/9j/0//O/8n/w/++/7n/tP+v/6v/p/+j/5//nP+Z/5b/k/+R/47/jP+J/4f/hP+C/3//fP95/3b/dP9x/27/a/9p/2b/ZP9i/2D/X/9e/13/Xf9e/17/YP9i/2b/av9v/3X/e/+D/4z/lv+h/63/uf/G/9P/4f/v//0ACgAYACUAMgA+AEoAVQBgAGsAdQCAAIsAlgChAK0AugDIANcA5wD3AQkBHAEvAUMBWAFsAYEBlQGoAbsBzQHdAewB+gIGAhECGwIiAikCLQIxAjQCNQI1AjUCMwIxAi0CKQIjAh0CFgIOAgYB/AHxAeYB2wHPAcMBtwGrAaABlgGNAYUBfgF5AXYBdQF1AXcBewGBAYcBjwGZAaIBrQG4AcQB0AHcAegB9QICAhACHwIuAj8CUgJmAnwClAKuAsoC6AMIAykDSwNuA5EDswPVA/UEEwQuBEYEWgRrBHcEfwSDBIIEfgR2BGoEXARMBDoEKAQUBAID8APgA9IDxgO8A7YDsgOxA7QDuQPBA8wD2QPpA/oEDQQhBDcETQRlBH0ElQSuBMcE4QT6BRMFLAVEBVwFcwWKBaAFtAXIBdsF7AX9BgwGGgYnBjQGPwZKBlQGXgZnBnAGeQaBBokGkAaXBpwGoQakBqUGpAagBpoGkAaDBnMGXgZGBioGCwXoBcMFmgVvBUMFFgTpBLsEjwRlBD0EGAP2A9kDwAOrA5wDkgONA40DkgOcA6oDvAPSA+oEBgQjBEIEYgSDBKMExATkBQMFIgU/BVsFdgWQBakFwgXaBfIGCgYiBjsGVAZvBooGpwbFBuQHBAcmB0gHaweOB7EH1Qf4CBsIPQheCH4InQi6CNYI8QkKCSIJOQlOCWMJdwmKCZwJrwnACdIJ4wn1CgYKFwopCjoKTApdCm8KgQqTCqUKtgrICtoK7Ar9Cw8LIAsyC0MLVAtmC3cLiAuaC6sLvAvOC98L8QwCDBQMJgw4DEoMXAxuDIAMkgyjDLUMxgzXDOgM+A0HDRYNJA0xDT4NSg1VDV8NaA1xDXoNgg2JDZANlw2fDaYNrQ21Db0Nxg3PDdgN4g3sDfcOAQ4MDhcOIg4tDjgOQg5LDlMOWw5hDmYOaQ5qDmoOaA5jDl0OVA5JDjsOKw4ZDgQN7g3WDbwNog2GDWoNTg0yDRcM/QzlDM8MuwyqDJsMjwyGDIEMfQx8DH4MgQyFDIsMkAyWDJwMoAykDKYMpgykDKEMmwyUDIwMggx4DG0MYgxXDE0MRAw8DDYMMQwuDC0MLQwuDDEMNQw6DD8MRAxJDE0MUQxUDFYMWAxZDFkMWQxZDFoMWwxdDGAMZQxrDHQMfgyKDJcMpgy3DMgM2gzsDP0NDg0dDSoNNg0/DUUNSQ1KDUgNRQ0/DTcNLg0lDRsNEQ0IDQAM+Qz0DPEM8QzzDPcM/Q0FDRANHA0pDTcNRQ1UDWQNcA18DYcNkw2dDacNsA24Db8Nxg3LDdAN1A3WDdgN2g3aDdoN2A3XDdQN0Q3NDcgNww2+DbkNsw2tDagNow2eDZoNlw2UDZMNkg2SDZMNlA2WDZgNmw2dDZ8NoQ2iDaINoA2dDZkNkg2KDYANcw1lDVUNQg0vDRkNAwzrDNIMuQyfDIYMbQxUDDwMJQwPC/oL5wvVC8QLtQunC5sLjwuFC3sLcgtpC2ALWAtPC0ULOwsxCyULGgsNCv8K8QriCtMKwwqzCqMKkwqDCnMKZApVCkcKOQorCh4KEQoFCfoJ7gnjCdgJzgnECbkJrwmlCZsJkgmICX4JdAlqCWAJVglMCUEJNwksCSEJFQkJCP0I8AjjCNUIxwi5CKoImwiLCHsIaghZCEgINggkCBIIAAftB9sHyAe1B6MHkQd/B20HXQdNBz0HLwciBxYHCgcABvcG7wbnBuAG2gbUBs4GyAbCBrsGtAasBqMGmQaOBoIGdQZnBlgGSAY4BicGFgYFBfQF4wXSBcIFsgWiBZMFhAV1BWcFWQVMBT8FMQUkBRgFCwT+BPIE5wTbBNAExQS7BLEEpwSfBJYEjgSHBIAEeARyBGsEYwRcBFQETAREBDoEMQQnBBwEEQQGA/sD7wPjA9cDywPAA7QDqQOeA5MDiAN9A3MDaANdA1MDSAM8AzEDJQMZAwwDAALzAuUC1wLKArsCrQKfApECggJ0AmYCWAJKAjwCLgIhAhQCBwH7AfAB5QHbAdIByQHCAbwBuAG0AbIBsQGxAbIBtQG4AbsBvwHDAcgBzAHPAdIB1AHWAdYB1AHSAc8BygHEAb0BtQGsAaIBlwGMAYEBdQFoAVwBTwFBATQBJgEYAQkA+wDsAN0AzgC/ALEAogCVAIgAewBwAGcAXgBYAFMAUABOAE4AUABUAFgAXgBlAGwAcwB7AIIAigCQAJcAnAChAKYAqgCuALIAtwC7AMAAxgDMANMA2wDkAO0A9wEBAQwBFgEfASgBMAE2ATsBPwFBAUEBQAE+AToBNgEyAS0BKAEkASABHQEcARsBHAEeASEBJQEqATABNQE7AUEBRgFKAU0BTwFQAVABTgFKAUYBPwE4AS8BJgEcARABBQD4AOwA3gDRAMQAtgCoAJsAjgCAAHQAZwBbAFAARQA6ADAAJwAfABcAEAAJAAP//f/4//P/7//r/+f/4//g/93/2//a/9n/2f/a/93/4P/k/+r/8f/4AAEACQASABsAIwArADIANwA8AD4APwA+ADwAOAAzAC0AJgAfABgAEgAMAAcAAwABAAAAAAACAAUACgAPABUAGwAiACgALQAyADYAOQA6ADsAOgA5ADYAMwAvACoAJgAiAB0AGQAWABMAEAAOAA0ADAALAAoACQAIAAgABwAFAAQAAgAA/////P/6//j/9//1//T/8//z//P/9P/1//b/+P/7//0AAAADAAYACgAOABIAFgAaAB4AIwAoAC0AMwA5AEAARwBOAFYAXgBmAG8AdwB/AIgAjwCXAJ4ApACqAK8AswC3ALkAuwC9AL4AvwC/AMAAwADBAMIAwwDFAMgAywDOANIA1QDaAN4A4gDmAOkA6wDtAO4A7QDsAOkA5QDgANoA0wDMAMQAvAC0AKwApQCeAJgAkwCPAIwAigCJAIkAiQCKAIoAiwCMAI0AjQCMAIoAiACFAIIAfQB5AHMAbgBpAGQAXwBaAFcAUwBRAFAATwBPAE8AUABRAFIAVABWAFcAWQBaAFsAXABdAF4AYABhAGQAZgBqAG4AcwB5AH8AhgCOAJYAngCmAK4AtgC8AMIAxwDLAM4AzwDQAM8AzgDMAMkAxwDFAMMAwQDBAMIAxADHAMwA0gDZAOIA6wD2AQEBDQEZASUBMQE9AUgBUgFcAWYBbgF2AX0BgwGJAY4BkgGWAZkBnAGeAaABoQGiAaIBoQGgAZ4BmwGYAZQBjwGKAYQBfQF2AW4BZwFfAVcBTwFIAUEBOgE0AS4BKQEkASEBHgEdARwBHAEcAR4BIAEiASUBKQEsAS8BMgE0ATUBNgE2ATQBMgEuASgBIgEaAREBBwD9APIA5gDbANAAxQC7ALEAqAChAJoAlACPAIoAhwCEAIEAfgB7AHkAdQByAG4AagBlAGAAWgBVAE8ASQBDAD4AOQA1ADEALgArACgAJwAlACQAIwAiACEAIAAfAB4AHQAbABkAGAAWABUAFAATABIAEgATABQAFQAXABkAHAAeACAAIgAkACUAJgAmACYAJAAiACAAHAAZABUAEAAMAAcAA/////v/9//0//H/7v/s/+n/5v/k/+H/3v/a/9b/0v/O/8r/xf/A/7z/t/+z/6//q/+o/6b/pP+j/6L/of+h/6H/of+i/6L/of+g/5//nf+b/5f/k/+P/4r/hP99/3f/cP9p/2H/Wv9U/03/R/9C/zz/OP80/zH/L/8t/yv/K/8q/yr/K/8r/yz/Lf8u/y//MP8x/zL/Mv8y/zL/Mv8x/zD/L/8u/y7/Lf8t/y3/Lv8v/zL/Nf86/0D/R/9Q/1r/Zf9y/3//jf+c/6z/vP/N/93/7f/9AA0AHQAsADoASABWAGQAcgCAAI4AnQCtAL0AzgDgAPMBBwEbATABRQFbAXABhQGaAa0BvwHQAd8B7AH3AgACBwIMAhACEQIQAg4CCwIHAgEB+wH0AewB4wHaAdABxgG7AbABpAGYAYsBfgFwAWIBVAFHATkBLQEhARcBDgEHAQIA/wD+AP8BAgEIAQ8BGQEkATABPQFLAVkBZwF2AYQBkQGfAawBuQHFAdIB4AHvAf8CEAIjAjkCUQJrAokCqALLAu8DFQM9A2YDjgO3A94EAwQlBEQEYAR3BIkElgSeBKEEnwSYBI0EfQRrBFUEPQQkBAoD8APXA78DqAOTA4EDcQNlA1wDVQNSA1MDVgNcA2YDcwOCA5QDqQPAA9oD9gQUBDQEVgR5BJ4EwwTpBQ4FNAVZBX0FnwW/Bd4F+QYSBikGPAZMBlgGYgZpBm0GbgZtBmoGZAZdBlQGSQY8Bi0GHQYLBfgF4gXKBbEFlQV3BVcFNQUSBOwExgSeBHcETgQnBAAD2wO4A5cDegNfA0gDNgMoAx4DGQMYAxwDJAMwA0EDVQNsA4YDowPBA+IEAwQmBEkEbASPBLIE1AT1BRYFNgVUBXIFjwWsBcgF4wX/BhsGNgZTBnAGjQasBssG6gcLBywHTgdxB5MHtgfYB/oIHAg8CFwIewiZCLYI0QjrCQUJHQk1CUwJYgl3CYwJoQm2CcoJ3gnyCgYKGgouCkEKVApnCnkKiwqcCq0KvgrPCt8K7gr+Cw4LHQstCz0LTQteC24LfwuRC6ILtAvGC9kL6wv9DBAMIgw0DEYMVwxpDHkMigyaDKoMuQzIDNYM5AzxDP4NCg0WDSENLA02DUANSQ1TDVwNZQ1uDXgNgQ2LDZYNoA2sDbgNxA3SDd8N7g38DgsOGg4pDjgORg5TDmAOaw52Dn8Ohg6MDpAOkw6TDpIOjw6KDoQOfA5yDmYOWQ5KDjoOKA4UDgAN6g3UDbwNpA2LDXINWQ1BDSkNEgz8DOcM1QzFDLYMqgyhDJkMlAySDJEMkgyVDJgMnQyhDKYMqQysDK4MrwyuDKsMpgygDJkMkAyGDHsMcQxmDFsMUQxJDEEMOww2DDMMMgwxDDMMNQw4DDwMQAxEDEgMTAxQDFMMVQxXDFgMWgxbDF0MXwxiDGYMbAxzDHwMhgyTDKEMsAzBDNMM5Qz4DQoNHA0tDTwNSg1VDV4NZQ1pDWoNaQ1mDWENWg1SDUoNQQ04DTANKA0iDR0NGg0ZDRkNHA0gDSYNLg03DUENTA1YDT4NRQ1MDVQNWw1iDWkNcA13DX4NhA2LDZENmA2eDaQNqw2xDbYNvA3BDcUNyQ3MDc8N0g3TDdQN1Q3WDdYN1g3WDdYN1Q3VDdUN1Q3VDdUN1A3UDdMN0Q3PDcwNyA3DDb0Ntg2tDaMNlw2LDX0NbQ1dDUsNOA0lDRAM+wzmDNAMugykDI4MeAxiDE0MOQwlDBMMAQvwC+EL0gvFC7kLrgukC5sLkguKC4ILegtyC2kLYAtWC0sLPwsyCyQLFQsFCvQK4grPCrwKqQqVCoIKbgpbCkgKNgokChMKAwnzCeQJ1gnJCbwJsAmkCZoJjwmFCXsJcQloCV4JVQlLCUEJNwktCSIJFgkKCP0I8AjiCNQIxQi2CKYIlgiGCHUIZAhUCEMIMgghCBAH/gftB9wHyge4B6YHlAeCB28HXAdKBzcHJQcTBwIG8gbiBtMGxQa4BqwGogaYBo4GhgZ+BnYGbgZmBl4GVQZMBkIGNwYsBiAGEwYFBfcF6QXbBcwFvgWwBaIFlQWIBXsFbwVjBVcFTAVABTQFKAUbBQ4FAQTzBOUE1gTIBLoErASfBJIEhgR7BHEEaQRhBFsEVgRRBE4ESgRHBEUEQQQ9BDkEMwQtBCUEHAQRBAYD+QPrA90DzgO+A68DnwOQA4EDcgNkA1cDSgM+AzIDJgMbAxADBQL6Au8C5ALYAswCwAK0AqcCmgKMAn4CcAJjAlUCRwI5AisCHQIQAgIB9QHoAdsBzgHBAbUBqgGfAZUBiwGCAXsBdAFvAWoBZwFlAWUBZQFmAWgBawFuAXEBdQF4AXoBfAF9AX0BewF5AXUBcAFqAWMBWwFSAUgBPgEzASgBHQERAQYA+wDxAOYA3ADSAMkAvwC2AKwAowCaAJEAiAB/AHYAbgBmAF8AWABTAE8ASwBJAEgASABKAE0AUQBVAFsAYQBnAG4AdAB6AIAAhQCKAI4AkQCUAJYAmACZAJsAnACeAKAAogClAKgArACwALQAuQC9AMIAxwDLAM4A0gDUANcA2ADZANoA2gDaANsA2wDbANwA3QDfAOEA4wDmAOkA7ADwAPMA9gD5APwA/gD/AQABAAEAAP8A/gD8APkA9wDzAPAA7ADnAOIA3ADWAM4AxgC9ALIApwCaAI0AfwBwAGAAUQBBADEAIgAUAAb/+v/u/+T/2//T/8z/x//B/73/uf+2/7L/r/+s/6n/pf+i/5//nP+a/5j/l/+X/5j/mf+c/5//o/+o/63/sv+3/7z/wf/F/8j/yv/M/83/zf/N/8z/zP/L/8r/yv/L/8z/zv/R/9b/2//g/+f/7f/z//r//wAEAAgACwANAA0ADAAJAAYAAf/8//X/7//o/+D/2f/S/8z/xf/A/7v/tv+y/67/qv+o/6X/o/+h/6D/nv+e/57/nv+e/6D/of+j/6b/qP+r/67/sf+0/7f/uf+7/73/vv++/77/vv++/73/vf+9/77/wP/D/8f/zP/T/9z/5v/y//4ADQAcACwAPABNAF0AbQB9AIsAmQClALAAugDCAMkAzgDTANYA2QDbANwA3QDfAOAA4gDlAOgA6wDwAPUA+wEBAQgBEAEXAR8BJgEtATQBOQE9AUABQgFCAUEBPgE5ATMBLAEjARoBDwEEAPgA7QDhANYAywDBALgAsACoAKEAmwCWAJEAjQCIAIQAgAB8AHcAcwBtAGgAYgBcAFYAUABKAEUAPwA7ADcAMwAwAC4ALQAsACwALAAsAC0ALgAvADAAMQAyADMANAA1ADcAOQA8AD8ARABJAFAAVwBfAGkAcgB9AIgAkgCcAKYArwC2ALwAwQDEAMYAxgDEAMEAvQC5ALQArwCrAKcApACjAKQApwCrALIAugDFANEA3gDsAPwBCwEbASsBOwFKAVgBZQFyAX0BhwGQAZgBoAGmAawBsQG1AbkBvAG/AcABwQHCAcEBvwG9AboBtQGwAaoBowGbAZIBiQGAAXYBbAFjAVkBUAFHAT4BNgEvASgBIgEcARgBEwEQAQ0BCwEKAQkBCQEJAQoBDAENAQ8BEgEUARUBFwEXARcBFgEUARABCwEFAP0A9ADrAOAA1ADIALsArwCjAJcAjACCAHgAcABpAGMAXgBaAFcAVABRAE8ATQBLAEgARQBCAD4AOgA2ADEALAAoACMAHwAbABcAFAARAA8ADQALAAkACAAGAAQAAwAA//7//P/5//b/9P/x/+//7P/r/+r/6f/p/+r/6//t/+//8v/0//f/+f/7//3//f/9//3/+//4//X/8f/s/+f/4v/c/9f/0f/M/8f/wv++/7r/t/+z/7D/rf+p/6X/ov+d/5n/lP+P/4n/hP9+/3j/c/9u/2n/Zf9i/1//Xf9b/1v/Wv9b/1v/XP9d/17/Xv9f/17/Xf9c/1n/Vv9S/03/R/9A/zn/Mf8p/yD/F/8O/wb+/f71/u7+5/7h/tz+2P7V/tP+0v7T/tT+1v7Z/t3+4f7l/ur+7/70/vj+/P8A/wP/Bf8H/wj/Cf8J/wn/CP8I/wj/Cf8K/wz/D/8T/xn/IP8o/zL/Pv9K/1n/aP94/4n/m/+t/7//0v/k//cACQAcAC4AQABSAGQAdgCIAJsArgDCANYA6gD/ARQBKQE+AVIBZgF5AYsBmwGqAbYBwQHJAc8B0wHUAdMB0AHLAcQBvAGzAagBnQGSAYYBegFuAWIBVgFKAT4BMwEnARwBEAEEAPgA7ADgANQAyQC+ALQAqgCiAJwAlwCUAJMAlACYAJ0ApQCwALwAygDZAOoA+wENASABMwFFAVcBaQF6AYsBmwGrAbsBywHbAewB/gISAicCPQJWAnECjQKsAs0C8AMTAzgDXQOCA6cDygPrBAoEJQQ9BFEEYQRsBHMEdQRyBGsEXwRQBD0EKAQRA/cD3QPDA6gDjgN1A14DSAM2AyUDGAMNAwYDAgMCAwUDDAMXAyUDNgNMA2UDgQOgA8ID5gQNBDYEXwSKBLUE3wUIBS8FVAV3BZYFsQXJBd0F7AX3Bf0GAAX+BfkF8AXlBdYFxQWyBZ0FhwVuBVUFOgUeBQAE4gTCBKIEgQRfBDwEGQP3A9QDsgORA3EDUwM4Ax8DCQL2AucC2wLUAtAC0ALTAtoC5ALyAwIDFQMqA0EDWQN0A48DqwPJA+cEBQQlBEUEZQSGBKcEyQTrBQ4FMQVUBXgFnAXBBeYGCwYwBlUGewahBsYG7AcRBzYHWwd/B6MHxQfnCAgIKAhGCGQIgAibCLUIzgjlCPwJEgkoCT0JUglmCXsJkAmlCboJ0AnmCfwKEQonCj0KUgpmCnoKjQqfCrEKwQrQCt8K7Qr6CwcLFAshCy0LOgtIC1ULZAtzC4MLlAulC7cLygvcC/AMAwwWDCkMOwxNDF8McAyBDJEMoAyvDL0MywzYDOQM8Az8DQcNEg0dDScNMQ07DUUNTw1ZDWMNbQ14DYINjg2aDacNtA3CDdEN4A3wDgAOEQ4hDjIOQg5SDmAObg56DoUOjQ6UDpkOmw6cDpoOlg6QDogOfg5zDmYOWA5JDjkOKQ4YDgYN9A3iDc8NvA2pDZYNgg1uDVoNRg0yDR8NCwz4DOYM1AzEDLUMpwyaDI8Mhgx/DHkMdQxyDHEMcAxxDHIMdAx2DHcMeAx5DHgMdwx2DHMMbwxrDGYMYQxcDFYMUQxMDEcMRAxADD4MPQw8DDwMPAw9DD8MQQxDDEUMRwxIDEoMTAxODFAMUgxVDFkMXQxiDGkMcQx7DIYMkwyhDLEMwgzUDOcM+g0NDSANMg1CDVENXw1qDXINeA18DX0NfA15DXMNbQ1kDVsNUg1IDT8NNg0uDScNIg0eDRsNGg0bDR0NIA0lDSoNMA03DToNPQ1ADUQNRw1KDU4NUg1WDVsNYQ1oDW8NeA2BDYsNlg2iDa4Nuw3HDdMN3w3qDfUN/g4HDg4OFQ4aDh4OIA4iDiMOIw4hDh8OHQ4ZDhUOEA4LDgQN/Q31De0N4w3ZDc8Nww23DaoNnQ2PDYENcw1kDVUNRg03DScNFw0GDPUM5AzRDL8MrAyYDIQMcAxcDEgMNAwgDA0L+wvqC9kLygu8C68LowuYC40Lgwt6C3ALZgtcC1ELRQs4CyoLGwsLCvoK5wrUCr8KqgqVCn8KaQpTCj0KJwoSCf0J6QnWCcMJsQmhCZEJgQlzCWYJWQlOCUMJOAkuCSUJGwkSCQgI/wj0COkI3gjRCMQItgimCJYIhQh0CGEITwg8CCkIFggEB/IH4AfOB70HrAecB4sHewdrB1sHSgc5BygHFwcFBvQG4gbQBr8GrgadBo4GfwZxBmQGWAZMBkIGOQYwBicGHwYWBg4GBQX8BfIF6AXdBdEFxQW5BawFnwWTBYYFegVuBWIFWAVNBUIFOAUuBSQFGQUOBQIE9gTpBNsEzAS9BK0EnASMBHwEbARdBE8EQwQ4BC8EJwQhBB0EGwQZBBkEGgQbBBsEGwQbBBkEFgQRBAoEAgP4A+wD3wPQA8ADrwOeA40DfANrA1oDSgM7AywDHwMRAwUC+QLtAuEC1QLJAr0CsAKjApYCiAJ6AmwCXQJOAkACMQIjAhUCBwH6Ae0B4AHTAccBugGuAaIBlwGLAX8BdAFpAV4BVAFLAUIBOgEzAS0BKAEjASABHwEeAR0BHgEfASABIgEkASYBJwEoASgBJwElASMBIAEbARYBEAEJAQIA+gDyAOoA4gDaANMAzADFAL8AugC1ALEArQCqAKcAowChAJ0AmgCWAJMAjgCKAIUAgAB6AHUAcABrAGcAYwBfAF0AWwBaAFoAWgBbAF0AXwBhAGMAZABmAGcAaABoAGgAZwBmAGQAYgBgAF4AXQBbAFoAWQBaAFoAXABeAGEAZQBpAG4AcwB5AH8AhQCLAJEAlgCcAKEApgCrAK8AswC3ALkAvAC9AL4AvwC/AL4AvQC8ALoAuAC1ALMAsgCwALAAsACxALIAtAC3ALoAvgDBAMUAxwDIAMkAxwDEAL4AtwCtAKEAkwCDAHIAXwBMADgAJAAR////7v/e/9D/w/+5/6//qP+i/53/mf+V/5L/j/+L/4j/hP+A/3z/eP90/2//a/9o/2X/Yv9g/2D/X/9g/2H/Y/9l/2j/a/9u/3H/dP93/3r/ff+A/4T/iP+M/5H/lv+c/6P/qv+x/7j/wP/H/83/0//Y/9z/3v/g/9//3f/a/9b/0P/J/8L/u/+z/6r/ov+b/5P/jP+F/3//eP9z/23/Z/9i/1z/V/9S/03/Sf9E/0H/P/89/zz/Pf8//0L/Rv9L/1H/V/9e/2X/a/9w/3X/eP96/3v/e/96/3f/dP9x/27/a/9q/2r/bP9x/3j/gv+P/57/sP/F/9z/9AANACcAQQBaAHMAigCfALMAxADTAN8A6QDxAPgA/AEAAQIBAwEFAQYBBwEIAQoBDQEQARUBGgEgASYBLQE1AT0BRQFNAVUBXQFlAWsBcQF2AXoBfQF/AX8BfQF6AXYBcAFoAWABVgFLAT8BMwEmARkBDAEAAPMA6ADdANMAyQDAALkAsQCrAKQAngCZAJMAjQCIAIIAfAB1AG8AaABiAFsAVABOAEgAQgA8ADcAMwAvACsAKAAlACIAIAAeABwAGwAaABkAGQAZABoAHAAfACMAKQAvADcAPwBJAFQAYABsAHgAhACQAJoApACsALMAtwC6ALoAuQC2ALIArACmAJ8AmQCTAI8AjACLAIwAjwCVAJ4AqAC1AMQA1ADlAPcBCgEcAS4BPwFPAV0BawF2AYEBigGSAZkBngGjAagBrAGvAbIBtQG3AbkBugG7AbsBugG4AbUBsQGsAaYBngGXAY4BhQF8AXMBagFhAVgBTwFHAUABOQEyASwBJgEgARsBFgERAQwBBwECAP4A+QD2APMA8ADuAO0A7QDtAO0A7gDuAO8A8ADvAO4A7QDpAOUA3wDYAM8AxQC6AK4AogCVAIkAfQBxAGYAXABTAEsARAA/ADsANwA1ADMAMQAwAC4ALQArACkAJgAkACEAHQAaABYAEwAPAAwACAAFAAL////8//n/9v/y/+//6v/m/+H/3P/X/9H/zP/H/8L/vv+6/7j/tv+2/7b/t/+5/7z/wP/D/8f/y//O/9H/0//U/9T/0//R/87/yv/G/8D/u/+1/6//qf+j/53/mP+T/47/iv+F/4H/ff95/3T/b/9q/2X/X/9Z/1L/TP9F/z//OP8z/y3/Kf8k/yH/Hv8c/xv/Gv8a/xv/G/8c/x3/Hv8f/yD/IP8f/x7/HP8Z/xb/Ev8N/wf/AP75/vH+6f7g/tf+zv7F/rz+tP6s/qb+oP6b/pj+lv6V/pb+l/6a/p7+o/6o/q7+tP66/sD+xf7K/s7+0v7U/tb+1/7Y/tj+2P7Y/tn+2v7c/t7+4v7n/u7+9v8A/wv/GP8n/zb/R/9Z/2z/gP+U/6j/vf/T/+j//QATACkAPgBUAGkAfwCVAKoAwADVAOoA/gESASQBNgFGAVUBYgFtAXYBfQGBAYIBgQF+AXgBcAFmAVoBTQE/ATABIAERAQEA8gDjANUAxwC7AK8ApQCbAJIAigCCAHsAdABuAGgAYwBeAFkAVQBRAE8ATQBMAEwATQBQAFQAWQBgAGkAcwB+AIsAmQCoALgAyQDbAO0BAAETAScBOwFPAWIBdgGKAZ4BsgHGAdoB7QICAhYCKwJAAlUCawKBApkCsALJAuEC+gMTAywDRQNdA3MDiQOdA64DvQPKA9MD2QPdA9wD2QPSA8gDvAOtA5wDigN2A2IDTQM4AyUDEgMAAvEC4wLYAtACygLHAsgCzALUAt8C7QMAAxUDLgNJA2gDiAOrA88D8wQYBD0EYQSDBKMEwQTbBPEFAwUSBRwFIQUjBSEFGgURBQUE9gTlBNIEvgSpBJMEfQRmBE8ENwQfBAcD7gPVA7sDoQOHA20DUwM6AyEDCgL0AuEC0ALBArYCrgKqAqkCrAKzArwCyQLYAukC/QMSAykDQANYA3ADiQOiA7sD1APuBAgEIwQ/BFwEewSaBLwE3wUEBSoFUQV6BaUF0AX8BikGVgaDBq8G3AcHBzIHXAeEB6wH0Qf2CBgIOghZCHcIkwiuCMgI4Aj3CQ0JIgk2CUoJXQlxCYQJmAmsCcAJ1QnrCgAKFwotCkMKWQpvCoQKmAqrCr4KzwrfCu4K+wsICxQLHwsqCzQLPwtKC1ULYQtuC3sLiQuZC6kLugvLC90L7wwCDBQMJgw4DEkMWgxqDHoMiQyYDKYMswzADM0M2gzmDPIM/g0KDRYNIg0uDToNRg1RDV0NaA1zDX4NiQ2VDaANrA24DcQN0Q3eDesN+Q4HDhYOJA4zDkEOTg5bDmcOcQ56DoIOhw6KDosOig6HDoEOeg5wDmQOVw5IDjgOKA4WDgQN8g3fDc0Nuw2pDZYNhQ1zDWENUA0+DS0NGw0JDPcM5QzSDMAMrgycDIsMegxqDFsMTQxADDUMKwwiDBsMFQwRDA4MDAwMDAwMDQwPDBIMFAwYDBsMHgwhDCQMJwwqDC0MLwwyDDQMNgw3DDkMOgw7DDwMPQw+DD4MPww/DEAMQQxCDEMMRQxIDEsMTwxVDFwMZAxtDHgMhQyUDKQMtgzIDN0M8g0HDR0NMg1IDVwNbw2ADY8Nmw2mDa0Nsg20DbMNrw2qDaINmQ2ODYMNdw1rDWANVQ1LDUINOw01DTENLg0tDSwNLQ0vDTENNA03DXUNeA17DX4NgA2CDYQNhw2KDY4Nkw2ZDaENqg21DcIN0A3fDe8OAA4RDiMONA5EDlMOYA5sDnYOfg6FDokOiw6LDokOhg6BDnsOcw5rDmIOWA5NDkIONg4qDh4OEg4FDfkN7A3gDdQNyQ2+DbMNqQ2eDZQNig2ADXUNaQ1dDVANQQ0wDR4NCwz1DN4MxgysDJEMdgxaDD8MJAwKC/EL2QvDC68LnAuLC3sLbQtfC1ILRgs6Cy0LIAsTCwQK9QrkCtMKwAqtCpkKhApvClkKQwotChcKAQnsCdYJwgmtCZoJhgl0CWIJUQlBCTIJJAkXCQsI/wj0COoI4AjXCM0IxAi5CK8IowiWCIgIeAhoCFYIQwgvCBoIBQfwB9oHxQexB50Higd4B2YHVgdHBzgHKQcbBw0G/wbwBuIG0wbDBrQGpAaTBoMGcwZjBlQGRQY4BisGHwYUBgsGAgX6BfIF6wXjBdwF1AXLBcIFuQWuBaMFlwWKBX0FcAVjBVUFSAU7BS4FIQUVBQkE/QTxBOUE2ATLBL4ErwShBJEEgQRwBF8ETQQ8BCwEHAQNA/8D8wPpA+ED2wPWA9MD0gPSA9MD1APVA9YD1wPWA9QD0QPLA8QDuwOwA6QDlgOHA3cDZwNXA0cDNwMnAxgDCgL9AvAC4wLXAssCvwKzAqcCmgKNAn8CcQJiAlMCQwIzAiMCEwIEAfUB5gHYAcsBvgGyAacBnAGRAYcBfAFyAWgBXgFUAUkBPwE1ASsBIQEYAQ8BBgD/APgA8gDtAOgA5QDjAOEA4ADfAN8A4ADgAOEA4gDjAOMA4wDiAOIA4ADeANsA2ADUANAAywDGAMAAuwC2ALEArACoAKQAoQCeAJ0AmwCbAJsAmwCcAJ0AnQCdAJ0AnACaAJcAkwCOAIkAggB7AHIAagBiAFkAUQBJAEEAOgA0AC8AKwAnACQAIQAfAB0AGwAaABgAFgAUABIAEAAOAAwACgAJAAgABwAIAAkACgANABEAFQAbACEAKAAvADcAPgBGAE4AVgBdAGQAaQBuAHMAdgB4AHoAegB5AHgAdQByAG8AawBnAGMAXwBcAFoAWQBZAFoAXQBhAGcAbgB3AIAAigCVAJ8AqQCyALkAvwDCAMMAwQC8ALQAqgCdAI0AfABpAFQAPwArABYAAf/u/9z/zP+8/6//o/+Y/4//hv9//3j/cv9r/2b/YP9b/1X/UP9M/0f/RP9B/z7/PP87/zv/O/88/z3/P/9B/0P/Rf9I/0r/Tf9Q/1P/Vv9a/17/Y/9o/27/dP97/4L/iP+P/5X/mv+e/6L/pP+k/6P/oP+c/5f/kf+K/4L/ev9y/2v/ZP9e/1n/Vf9S/1D/Tv9N/0z/TP9K/0n/Rv9D/0D/O/82/zH/K/8m/yH/Hf8a/xn/Gf8a/x3/If8n/y3/NP87/0L/SP9N/1H/U/9T/1H/Tv9J/0T/Pv85/zX/Mv8x/zP/OP9C/07/X/90/4z/qP/G/+YABwApAEsAawCKAKcAwQDYAOwA/AEJARMBGgEfASIBJAEkASQBJAEkASQBJQEmASgBKwEvATMBNwE8AUEBRgFLAU8BVAFYAVwBYAFjAWYBaQFrAW4BbwFxAXIBcgFyAXEBcAFtAWkBZQFgAVkBUwFLAUMBOwEzASoBIgEaARMBDQEHAQEA/AD4APQA8ADsAOgA5ADgANoA1QDPAMcAwAC3AK4ApACaAJAAhgB8AHIAaABfAFcATgBHAEAAOQAzAC4AKQAlACIAHgAcABoAGQAZABoAHAAfACMAKAAvADcAPwBJAFMAXQBnAHEAegCCAIkAjgCSAJQAlACTAJAAjACHAIIAfgB5AHYAdAB0AHcAewCCAIsAlwClALQAxQDXAOkA+wENAR4BLgE8AUgBUwFcAWQBaQFuAXIBdQF3AXkBfAF+AYABgwGGAYkBjAGPAZEBkgGTAZMBkQGPAYsBhgGBAXsBdAFsAWUBXgFXAVABSgFFAUABOwE3ATIBLgEqASUBIAEbARUBDwEIAQEA+QDyAOwA5QDgANsA1wDVANMA0wDTANQA1QDWANgA2ADYANcA1ADQAMsAxAC8ALIAqACdAJIAhgB7AHEAZwBeAFcAUABLAEcARABBAD8APgA9ADsAOQA3ADQAMQAtACgAIwAdABcAEQAKAAT//v/3//H/6//m/+D/2v/T/83/xv+//7j/sf+p/6L/m/+V/4//iv+F/4P/gf+B/4L/hP+H/4z/kf+W/5z/of+m/6n/rf+u/6//rv+s/6n/pf+g/5r/k/+N/4b/f/95/3L/bP9n/2L/Xf9Y/1P/T/9K/0X/P/85/zP/LP8l/x7/F/8P/wj/Af76/vT+7/7q/ub+4v7f/t3+3P7b/tr+2v7a/tv+2/7c/t3+3f7e/t7+3v7d/t3+2/7Z/tf+0/7P/sv+xv7A/rn+sv6r/qT+nP6W/o/+if6E/oD+ff58/nv+fP59/oD+g/6H/ov+kP6U/pj+nP6f/qH+o/6k/qT+pP6k/qT+pP6k/qX+p/6q/q/+tf69/sb+0f7e/uz++/8M/x7/Mf9F/1n/bv+D/5n/r//F/9z/8gAIAB8ANQBLAGEAdwCMAKEAtQDIANkA6gD4AQUBEAEZAR8BIgEkASIBHgEYAQ8BBAD3AOkA2QDIALcApQCTAIEAcABfAFAAQQA0ACgAHQAUAAwABQAA//z/+f/3//b/9v/3//n//AAAAAUACgAQABcAHwAnAC8AOABBAEoAUwBcAGUAbgB2AH8AiACQAJkAowCtALgAxADSAOAA7wEAARIBJQE5AU0BYgF2AYsBnwGzAcUB1wHoAfgCBwIVAiICMAI9AkoCWAJmAnQChAKUAqUCtgLHAtgC6QL4AwcDEwMdAyUDKgMtAywDKQMjAxsDEAMEAvcC6ALaAssCvQKwAqQCmgKSAo0CigKJAosCkQKZAqQCsgLDAtYC7AMEAx8DOgNXA3UDkwOxA84D6QQDBBoELgQ+BEsEVQRaBFsEWARSBEkEPQQuBB4EDQP6A+gD1QPCA7ADnwOOA30DbQNeA04DPwMvAx8DDwL/Au8C3wLPAsACswKnAp4ClwKTApIClQKbAqUCsgLDAtYC7AMEAx4DOQNVA3IDjgOrA8cD4wP/BBoENQRRBGwEiQSnBMYE5gUIBSsFUQV4BaAFygX1BiEGTgZ6BqcG0wb/ByoHUwd8B6QHygfvCBIINAhUCHQIkgiuCMoI5Aj9CRYJLQlECVoJbwmECZkJrQnBCdUJ6Qn9ChEKJgo6Ck8KYwp3CosKngqwCsIK0wrjCvILAAsNCxkLJQswCzsLRQtQC1sLZgtzC4ALjgucC6wLvAvNC94L8AwCDBQMJQw3DEcMVwxnDHUMgwyRDJ0Mqgy2DMIMzQzZDOUM8Qz+DQsNGA0lDTINQA1NDVoNZw1zDYANiw2WDaENqw22Db8NyA3SDdsN5A3tDfcOAA4KDhQOHg4oDjEOOw5EDkwOVA5aDmAOYw5mDmcOZg5jDl4OWA5PDkUOOg4tDh8ODw3/De0N2w3JDbYNow2PDXsNaA1UDUANLA0YDQQM8AzcDMgMtAyfDIsMdwxjDE8MPAwpDBcMBgv1C+UL1wvKC74LtAurC6QLnwubC5kLmQuaC50LoQunC64Ltgu+C8gL0QvbC+UL7gv3DAAMBwwODBQMGQwdDCEMIwwlDCYMKAwpDCoMKwwtDC8MMww4DD4MRQxODFkMZgx0DIUMlwyrDMEM2QzxDQsNJg1BDVsNdg2QDagNvg3TDeQN8w3/DggODQ4ODgwOBw3/DfUN6A3aDcsNvA2tDZ4NkA2EDXkNcA1qDWUNYg1hDWINZA1mDWoNbQ1xDdAN2A3fDeUN6g3uDfEN9A33DfoN/g4DDgkOEQ4aDiUOMg5BDlAOYQ5zDoQOlg6mDrYOxA7QDtoO4g7nDuoO6g7pDuUO3w7YDs8OxQ65Dq0OoA6SDoQOdQ5nDlgOSQ47Di0OHw4SDgYN+w3xDegN4A3ZDdINyw3FDb4Ntg2tDaINlQ2GDXQNYA1JDS8NEgzzDNMMsQyODGoMSAwlDAUL5QvIC60Lkwt8C2cLUwtBCzALIAsQCwAK8ArfCs4KvAqqCpcKgwpvCloKRgoxCh0KCQn1CeIJzwm8CaoJmAmGCXQJYglQCT8JLgkdCQ0I/QjuCOAI0gjFCLkIrQiiCJcIjAiBCHUIaAhaCEsIOwgpCBcIAwfuB9gHwgesB5YHgAdrB1gHRQczByMHFAcGBvkG7QbgBtQGyAa7Bq4GoAaSBoMGcwZjBlIGQgYyBiMGFAYHBfsF7wXlBd0F1QXOBccFwQW7BbUFrwWnBZ8FlgWMBYAFdAVmBVgFSAU5BSkFGQUIBPgE6ATYBMgEuQSqBJsEiwR8BG0EXQRNBD0ELQQcBAwD/APsA90DzwPBA7YDqwOiA5oDlAOPA4wDiQOHA4YDhAODA4ADfQN5A3MDbANkA1oDTwNDAzUDJwMZAwsC/ALvAuEC1ALIAr0CsgKoAp0CkwKJAn4CcwJnAloCTAI9Ai0CHQINAfwB6wHaAcoBugGrAZ4BkQGFAXsBcQFoAWABWAFRAUkBQQE5ATEBKAEfARUBDAECAPgA7gDlANwA1ADNAMYAwAC7ALcAswCwAK4ArACqAKkAqACnAKYApQCkAKQAowCiAKEAoACeAJ0AmgCYAJUAkgCOAIoAhQCBAHwAdwByAG4AaQBmAGMAYQBgAGAAYABhAGMAZQBmAGgAaQBqAGkAZwBkAF8AWQBSAEkAPwA1ACkAHQARAAb/+v/w/+b/3f/W/8//yv/F/8L/wP++/7z/vP+7/7v/u/+6/7r/u/+7/7v/vP+9/7//wf/D/8f/yv/O/9P/2P/d/+L/5//s//H/9f/4//z//gAAAAEAAgACAAIAAQAA/////v/9//z//P/8//z//f//AAIABgAKABAAFwAfACgAMgA9AEgAVABfAGsAdwCBAIsAkwCaAJ8AogCiAKAAnACVAIwAgQB0AGYAVgBFADIAHwAM//n/5f/S/7//rf+b/4n/eP9o/1n/Sv89/zH/Jv8c/xT/Dv8J/wX/A/8D/wT/B/8K/w7/E/8Y/x3/I/8n/yv/L/8y/zX/N/85/zr/PP8+/0D/Qv9F/0j/TP9Q/1T/V/9b/13/X/9g/2D/Xv9a/1b/UP9J/0L/Ov8y/yv/JP8e/xv/GP8Y/xn/G/8f/yX/K/8x/zf/Pf9C/0b/SP9J/0n/SP9F/0H/Pf85/zX/Mv8v/y7/Lv8w/zP/OP89/0P/Sf9P/1X/Wf9b/1z/XP9Z/1T/T/9I/0H/O/81/zL/Mf8z/zn/RP9S/2b/ff+Z/7j/2v/+ACMASABtAJAAsQDPAOkA/wESASABKwEzATcBOQE5ATcBNQEzATABLwEuAS4BLwExATMBNgE5ATwBPgFAAUEBQgFCAUABPgE8ATkBNgEzATABLgEsASsBKwErASwBLgExATMBNgE5ATsBPgFAAUEBQwFDAUQBRAFDAUMBQwFDAUMBQwFEAUQBRQFGAUYBRwFGAUUBQwFAATwBNgEvASYBHAERAQUA+ADqANwAzgDAALMApgCaAI4AhAB7AHIAawBkAF4AWABTAE0ASABDAD0AOAAyAC0AKAAjAB8AGwAZABgAGAAZABwAIAAlACsAMgA5AEAARwBNAFMAWABcAF4AYABhAGEAYQBhAGIAYwBlAGgAbgB1AH4AiQCVAKMAsgDCANIA4wDyAQEBDgEaASQBLQE0ATkBPQFAAUEBQwFEAUYBSAFKAU4BUgFWAVwBYQFnAWwBcAF0AXcBeQF5AXcBdQFxAWwBZgFgAVkBUwFMAUYBQQE8ATgBNAExAS8BLAEpASYBIgEeARkBEwEMAQUA/gD2AO8A6ADiANwA2ADVANQA0wDUANYA2QDcAOAA4wDmAOgA6ADoAOYA4wDeANkA0gDKAMIAugCyAKoAowCdAJcAkgCOAIoAhwCEAIEAfQB5AHQAbgBnAF4AVQBKAD4AMQAkABcACf/8//D/5P/Y/87/xP+7/7L/qv+j/5z/lP+N/4b/f/94/3H/av9k/17/Wv9W/1T/U/9T/1X/WP9c/2H/Z/9s/3L/eP98/4D/gv+D/4L/gP98/3f/cf9q/2L/Wv9S/0n/Qv86/zT/Lv8o/yP/H/8b/xf/Ev8O/wr/Bf7//vr+8/7t/ub+3/7Y/tH+yv7E/r7+uf60/rH+rf6q/qj+pv6l/qT+o/6i/qH+of6h/qH+of6h/qH+ov6i/qP+o/6j/qP+o/6i/qH+n/6c/pn+lf6S/o3+if6E/oD+fP55/nf+df50/nX+df53/nn+fP5//oH+hP6G/oj+if6J/on+h/6G/oT+gv6A/n/+fv5//oH+hP6J/pD+mf6k/rD+vv7N/t7+7/8C/xX/KP87/0//Y/92/4r/nf+x/8T/2P/r//4AEQAkADcASQBbAGsAewCIAJUAnwCnAK0AsQCyALEArQCnAJ8AlQCJAHsAbQBdAE0APQAtAB0ADv////H/5P/Z/87/xf+9/7X/r/+q/6f/pP+i/6L/ov+k/6j/rP+y/7n/wv/M/9j/5f/yAAEAEAAfAC4APQBLAFcAYwBsAHQAegB+AIAAggCCAIEAgACAAIAAgQCEAIkAjwCYAKMAsAC+AM8A4ADxAQMBFAElATQBQwFQAVsBZgFvAXgBgQGKAZQBnwGsAboBywHdAfECBwIfAjYCTgJlAnsCjwKgAq4CuQLAAsMCwwK+ArcCrAKgApICgwJ0AmUCWAJMAkECOgI1AjICMwI3Aj4CRwJTAmMCdAKIAp4CtgLQAusDBwMkA0IDXwN8A5gDswPLA+ED9AQDBA8EFwQaBBoEFgQOBAID9APjA9EDvQOoA5MDfgNqA1YDRAMyAyIDEgMEAvYC6QLcAtACxAK5Aq4CpAKbApMCjQKKAokCiwKQApkCpgK2AsoC4gL8AxoDOgNbA38DowPHA+wEEAQ0BFgEegScBL4E3wT/BSAFQgVkBYYFqQXOBfMGGQZABmcGjwa2Bt4HBQcrB1EHdQeYB7oH3Af8CBsIOQhWCHMIjwirCMYI4Qj8CRYJMAlKCWMJewmTCaoJwQnWCesJ/woSCiUKNwpIClkKagp6CooKmQqoCrcKxQrSCt8K6wr3CwMLDgsZCyQLLgs5C0ULUAtdC2oLeAuHC5cLpwu4C8oL3AvvDAEMEwwlDDYMRwxXDGYMdAyCDI8MmwynDLMMvgzKDNUM4gzuDPsNCA0VDSMNMA0+DUwNWQ1mDXINfg2KDZQNng2nDbANuA2/DcYNzQ3UDdoN4Q3nDe4N9Q38DgMOCg4SDhkOIA4nDi4ONA46Dj8OQw5HDkkOSg5KDkkORg5CDj0ONQ4sDiIOFg4IDfkN6Q3XDcMNrw2ZDYMNbA1UDTwNIw0KDPEM2Ay/DKcMjwx3DGAMSQwzDB0MBwvzC98Lywu5C6cLlguGC3gLawtfC1ULTAtGC0ELPws/C0ELRQtLC1QLXQtpC3ULgguQC50Lqwu4C8QLzwvZC+EL6AvuC/ML9wv6C/wL/gwADAIMBQwIDAwMEgwZDCIMLAw4DEYMVQxmDHkMjgylDL0M1wzzDQ8NLQ1MDWsNig2pDcYN4w39DhYOKw48DkoOVA5aDlsOWQ5SDkgOOw4rDhoOCA31DeMN0g3CDbUNqw2jDZ8NnQ2eDaINpw2uDbYNvw3IDiYONA5BDk0OWA5gDmcObA5wDnMOdg55DnwOgQ6GDowOlA6eDqgOsw7ADswO2Q7lDvEO+w8FDwwPEg8XDxkPGQ8YDxQPEA8JDwEO+A7tDuEO0w7FDrUOow6RDn4Oaw5XDkMOLw4dDgsN+g3rDd4N0w3JDcINvA23DbINrg2pDaMNmw2RDYQNcw1gDUkNLg0RDPEMzgyqDIYMYQw8DBkL9wvXC7gLnAuCC2oLUws9CykLFQsBCu0K2ArDCq0KlwqACmkKUgo7CiUKDwn6CeYJ1AnCCbEJoQmSCYIJcwlkCVQJRAk0CSIJEAj+COsI2QjGCLQIowiSCIIIcghkCFYISAg6CC0IHwgQCAEH8QfgB84HuwenB5QHfwdrB1gHRQcyByEHEgcDBvUG6QbdBtIGxwa8BrEGpAaYBooGewZrBloGSAY2BiQGEgYABe8F4AXRBcQFuQWvBaYFngWYBZIFjQWIBYMFfQV2BW4FZQVaBU8FQQUzBSMFEwUCBPAE3gTLBLkEpwSVBIMEcgRgBFAEQAQvBCAEEAQAA/ED4gPTA8UDtgOpA5sDjwODA3gDbgNlA10DVgNPA0kDQwM+AzgDMwMtAyYDHwMWAw0DAwL4Au0C4QLUAsgCuwKvAqMCmAKOAoQCewJzAmsCYwJbAlMCSgJAAjUCKQIbAg0B/QHsAdoBxwG1AaIBkAF/AW8BYQFUAUgBPgE2AS8BKQEjAR8BGgEVAQ8BCQECAPoA8QDoAN0A0wDJAL4AtACrAKIAmwCUAI4AiQCFAIIAfwB9AHsAeAB2AHQAcQBuAGsAaABkAGEAXgBaAFcAVABSAE8ATQBKAEcARABAAD0AOAAzAC4AKAAiABwAFgARAAwACAAEAAIAAAAAAAAAAQADAAUABgAIAAkACQAHAAUAAf/8//b/7v/l/9v/0f/H/7z/sv+o/5//l/+Q/4v/hv+C/4D/fv9+/33/ff9+/37/fv9//3//fv9+/33/fP97/3r/ef94/3f/dv91/3T/dP9z/3L/cf9v/23/a/9p/2f/Zf9i/2H/X/9f/1//YP9j/2f/bP9z/3r/hP+O/5n/pf+y/7//zP/Z/+X/8f/8AAcAEAAZACIAKQAwADYAPABCAEcATABRAFUAWQBcAF8AYQBiAGIAYQBeAFoAVABLAEEANQAnABYABP/w/9v/xP+s/5P/ev9i/0r/M/8d/wr++P7p/t7+1f7O/sv+y/7N/tH+1/7f/uf+8P75/wH/CP8O/xP/F/8Z/xv/G/8a/xn/F/8W/xX/Ff8V/xX/F/8Z/xv/Hf8g/yL/I/8j/yP/If8e/xr/Fv8R/wv/Bf8A/vz++f73/vb++P77/v//Bf8M/xT/HP8l/y3/NP87/0H/Rf9I/0r/S/9L/0v/S/9L/0v/Tf9P/1P/WP9d/2T/bP90/3z/hP+L/5D/lP+X/5j/lv+U/4//i/+F/4D/fP96/3r/ff+D/47/nP+v/8X/3//8ABsAPABeAH8AoAC+ANoA8gEHARkBJgEvATUBNwE3ATUBMgEuASkBJQEiASABIAEgASIBJQEoASwBLwEzATUBNwE3ATYBMwEvASoBJAEdARYBDwEIAQIA/QD4APUA8wDyAPIA9AD2APkA/QEBAQUBCQEOARIBFwEcASEBJgEsATEBNwE9AUQBSgFRAVcBXQFjAWgBawFtAW4BbgFrAWcBYAFYAU4BQgE2ASgBGQEKAPsA7QDfANIAxgC8ALQArQCnAKMAoACdAJsAmQCXAJUAkQCMAIYAfgB1AGsAXwBSAEUAOQAsACEAFgAOAAcAAwABAAIABQAJABAAGAAhACsANAA+AEYATgBVAFsAXwBjAGYAaABrAG4AcQB2AHsAggCLAJUAoACsALkAxgDUAOEA7QD4AQMBCwETARkBHgEhASQBJgEpASsBLgEyATYBOwFAAUcBTgFUAVsBYQFnAWsBbgFvAW8BbQFqAWUBXwFYAVEBSgFCATsBNQEvASoBJQEhAR4BHAEZARcBFAERAQ4BCgEGAQIA/QD5APQA8QDuAOwA6wDrAO0A8AD0APkA/wEFAQsBEQEXARwBIAEjASQBJAEjASEBHgEaARUBEAELAQYBAgD9APkA9ADwAOsA5gDfANgAzwDEALgAqQCZAIcAcwBeAEcAMQAaAAT/7//b/8n/uP+q/53/kv+K/4L/fP92/3H/bP9o/2P/Xf9Y/1H/S/9F/z//Of80/zH/Lv8t/y3/Lv8x/zX/Of8+/0L/R/9K/0z/Tf9M/0r/Rv9A/zj/MP8m/xz/Ev8I/v/+9v7u/uf+4f7c/tj+1f7S/s/+zf7L/sj+xf7B/r3+uP6z/q7+qf6j/p7+mf6U/pD+jf6K/of+hf6D/oH+gP5//n3+e/56/nj+dv50/nL+cP5u/mz+a/5q/mn+af5p/mn+af5p/mn+af5o/mf+Z/5l/mT+Y/5i/mL+Yf5i/mL+ZP5m/mn+bf5w/nT+eP58/n/+gf6D/oP+g/6B/n/+fP55/nX+cv5v/m3+bf5u/nH+dv59/ob+kv6e/q3+vf7N/t/+8P8C/xP/JP80/0T/VP9j/3H/f/+N/5v/qP+2/8T/0v/g/+3/+wAHABMAHQAmAC0AMgA2ADcANgAyAC0AJgAdABMACP/8//D/5P/X/8z/wP+2/6z/o/+c/5X/j/+K/4b/gv9//33/ev95/3j/d/93/3j/ef98/4D/hf+M/5T/n/+q/7j/xv/W/+f/+AAJABoAKwA5AEYAUQBaAF8AYwBjAGEAXgBYAFEASgBCADsANQAxAC8ALwAyADcAPgBHAFIAXwBrAHkAhQCRAJ0ApwCwALgAwADHAM8A2ADiAO8A/gEQASUBPgFZAXcBlwG5AdsB/AIcAjkCUwJoAngChAKJAokChAJ6AmwCWwJIAjMCHgIKAfgB6AHbAdIBzQHLAc4B1AHfAe0B/QIRAicCQAJaAnYClAKzAtMC9QMXAzkDXAN+A6ADwQPgA/0EFwQuBEAETwRZBF4EXgRZBFAEQwQyBB4EBwPuA9QDuQOeA4MDaQNQAzgDIgMNAvsC6gLbAs0CwgK5ArICrQKrAqwCrwK2AsACzgLfAvUDDgMqA0oDbAORA7kD4QQLBDYEYASLBLQE3QUFBSwFUgV3BZsFvwXiBgUGKAZLBm4Gkga1BtkG/QchB0QHZweJB6oHygfoCAUIIQg8CFUIbgiGCJ4ItQjNCOQI/AkVCS0JRglfCXgJkQmqCcIJ2QnvCgQKGAorCjwKTApbCmkKdgqCCo0KmAqjCq0KuArCCswK1grgCuoK9Qr/CwkLEwseCykLNAs/C0sLWAtlC3MLgQuRC6ELsQvCC9ML5Av0DAUMFQwlDDUMRAxSDGAMbQx6DIcMlAyhDK4MvAzJDNcM5gz0DQMNEQ0gDS4NOw1IDVQNXw1qDXMNfA2EDYsNkg2ZDZ8NpQ2sDbMNug3CDcoN0g3bDeQN7Q33DgAOCQ4SDhsOIw4rDjMOOQ4/DkUOSg5ODlEOUw5VDlUOVA5SDk8OSg5DDjsOMA4kDhYOBQ3zDd8NyQ2xDZgNfg1iDUYNKg0MDO8M0gy2DJoMfgxjDEkMMAwXDAAL6QvTC70LqAuUC4ELbgtdC0wLPQswCyMLGgsSCwwLCQsJCwsLEQsYCyILLgs7C0oLWgtqC3kLiAuXC6QLsAu6C8ILyQvPC9ML1gvZC9wL3gvhC+UL6gvwC/cL/wwJDBQMIAwtDDwMSwxbDGwMfgyRDKUMuwzTDOwNBw0jDUINYQ2CDaQNxg3nDgcOJQ5BDlgObA58DoYOjA6MDocOfg5wDmAOTQ45DiQOEA3+De0N4A3XDdENzw3RDdcN3w3rDfgOBw4WDmYOeg6NDp8Orw69DskO0w7bDuIO5g7qDu0O7w7xDvQO9g75Dv0PAQ8FDwkPDQ8RDxQPGA8aDxwPHg8fDx8PHw8eDxwPGg8XDxIPDA8EDvsO7w7hDtAOvQ6nDo4Ocw5XDjkOGg38Dd4Nwg2pDZINfg1uDWINWQ1TDU8NTg1NDU0NTA1KDUUNPg0zDSQNEQz7DOEMxQymDIYMZAxDDCIMAgvjC8cLrAuSC3sLZAtOCzgLIgsMCvUK3QrECqoKjwp0ClgKPQoiCggJ7wnYCcMJsAmeCY4JfwlwCWIJVAlGCTYJJgkUCQEI7QjYCMIIrAiVCH8IaQhUCEAILAgbCAoH+gfrB9wHzge/B7EHogeTB4MHcwdjB1IHQQcxByEHEgcDBvYG6QbeBtMGyAa+BrQGqgafBpMGhQZ3BmcGVgZDBjAGHAYHBfIF3gXKBbgFpwWXBYoFfQVzBWkFYgVbBVQFTgVIBUIFOwUzBSoFIAUUBQgE+gTrBNsEygS4BKcElQSCBHAEXgRNBDsEKgQaBAoD+gPqA9sDzAO9A64DoAORA4MDdgNpA1wDTwNDAzgDLQMiAxgDDgMFAvwC9ALsAuMC2wLSAsoCwQK4Aq4CpAKaApAChgJ8AnICaQJhAlgCUQJKAkQCPgI4AjICLAIlAh0CFQIKAf8B8QHiAdIBwAGtAZkBhAFwAVwBSgE4ASgBGgEOAQQA+wD1AO8A6wDnAOMA3wDaANUAzgDGAL0AswCoAJwAkACFAHkAbgBlAFwAVQBPAEsARwBFAEMAQgBBAEAAPgA8ADkANgAyAC4AKQAjAB4AGAATAA4ACgAGAAL////8//n/9v/z/+//6//n/+H/3P/W/9D/yf/D/7z/t/+x/63/qf+m/6T/ov+i/6H/of+h/6H/oP+f/53/m/+X/5P/j/+K/4T/f/95/3T/b/9q/2b/Y/9g/17/Xf9c/1z/XP9c/1z/XP9b/1r/WP9W/1P/T/9L/0b/Qf87/zX/L/8o/yL/G/8V/w//CP8B/vv+9P7t/ub+3/7Y/tH+y/7G/sL+wP6//sD+xP7K/tP+3v7t/v3/EP8l/zz/U/9q/4L/mP+u/8H/0v/h/+3/9v/9AAEABAAEAAQAAgAA/////v/+//8AAgAGAAsAEQAYAB8AJwAtADMANwA5ADgANQAuACUAFwAH//T/3//H/63/k/94/17/RP8s/xb/A/7z/ub+3f7X/tT+1P7X/tz+4v7q/vL++f8A/wb/C/8N/w7/Df8K/wf/Af78/vb+8f7s/uj+5f7j/uP+5f7n/uv+7/70/vj+/f8B/wT/B/8J/wr/Cv8K/wn/CP8H/wb/Bv8G/wf/CP8L/w3/Ef8U/xj/HP8f/yL/Jf8o/yr/Lf8v/zL/Nf85/z7/RP9L/1P/Xf9p/3X/gv+Q/5//rf+7/8j/1P/e/+f/7v/z//f/+f/6//r/+v/5//n/+//9AAIACQATAB8ALQA+AFIAZgB9AJMAqgC/ANQA5wD3AQQBDwEWARoBHAEbARkBFAEPAQoBBQEAAP0A+wD7APwA/gECAQcBDAESARgBHQEhASUBJwEnAScBJQEiAR4BGgEWAREBDQEJAQUBAgEAAP4A/AD7APoA+QD4APgA9wD2APUA9AD0APQA9QD2APkA/QECAQkBEAEYASEBKwE1AT4BRwFQAVcBXAFgAWIBYgFfAVsBVAFMAUIBNwErAR4BEQEEAPgA7QDiANoA0wDOAMsAygDKAMwA0ADUANgA3QDhAOQA5QDlAOIA3QDWAMwAwACyAKIAkQCAAG8AXwBRAEQAOQAyAC4ALAAuADIAOQBCAEwAVwBiAGwAdgB+AIUAigCNAI4AjgCNAIsAiQCIAIcAhwCJAIwAkgCZAKIArAC4AMQA0ADdAOkA9AD+AQcBDwEVARoBHgEhASQBJwEqASwBMAEzATcBPAFAAUUBSgFOAVEBVAFVAVYBVQFSAU8BSgFFAT4BOAExASoBJAEeARkBFAEQAQwBCQEHAQUBAwEBAQAA/gD9APwA/AD8APwA/gEAAQMBCAENARQBGwEjASwBNQE+AUcBTwFXAV0BYwFnAWkBawFrAWkBZwFkAWABXAFXAVIBTQFIAUIBOwE0ASsBIQEVAQgA+ADmANEAuwCiAIgAbABPADIAFv/7/+H/yf+0/6L/kv+G/33/dv9y/3D/bv9u/23/bP9q/2f/Yv9c/1T/S/9B/zb/K/8h/xj/EP8K/wb/A/8C/wP/Bv8J/w3/Ef8U/xf/GP8X/xX/Ef8K/wL++f7v/uT+2f7N/sP+uf6w/qj+ov6d/pn+lv6T/pH+kP6O/oz+iv6I/oX+gf5+/nr+dv5y/m/+a/5p/mb+ZP5j/mL+Yf5g/l/+Xf5c/lr+V/5U/lD+TP5H/kP+Pv46/jb+Mv4u/iz+Kv4o/ij+J/4n/ij+Kf4q/iv+LP4u/jD+Mv41/jj+O/5A/kT+Sv5Q/lb+XP5j/mn+b/50/nn+fP5+/n7+fv58/nr+dv5z/m/+bP5q/mn+av5s/nH+d/6A/ov+l/6l/rP+w/7T/uL+8v8A/w7/Gv8l/zD/Of9C/0v/U/9b/2P/bP91/37/iP+S/5z/pf+v/7f/vv/E/8j/y//L/8r/x//C/7z/tf+t/6T/m/+R/4j/gP94/3H/a/9m/2H/Xf9a/1j/Vv9U/1P/Uf9Q/0//Tv9N/0z/TP9M/0z/Tf9P/1P/V/9d/2T/bP92/4L/jv+b/6n/tv/E/9L/3v/q//P/+wAAAAQABQADAAD/+//1/+3/5v/f/9n/1P/Q/8//0P/T/9j/3//o//L//QAIABMAHQAmAC4ANQA6AD8ARABJAE4AVQBfAGwAfACPAKcAwwDiAQQBKQFOAXMBmAG5AdgB8QIGAhQCHAIdAhkCDwIAAe4B2QHCAawBlwGEAXUBagFjAWEBZAFsAXkBigGfAbYB0QHtAgsCKwJLAmwCjgKxAtUC+QMeA0QDawOSA7gD3gQEBCcESQRnBIEElwSoBLQEuwS7BLYErASdBIkEcQRWBDkEGQP5A9kDugObA38DZANNAzgDJgMYAw4DBwMFAwYDCwMUAyEDMgNHA2ADfQOcA78D5QQNBDcEYgSOBLsE6AUUBT8FaQWSBbkF3wYEBiYGSAZpBokGqAbIBucHBwcnB0cHZweIB6kHyQfpCAkIKAhFCGIIfQiWCK8IxgjcCPEJBQkZCSwJQAlUCWgJfQmSCagJvgnUCeoJ/woUCicKOgpLClsKagp3CoIKjQqWCp8KpwqvCrYKvgrGCs8K1wrhCusK9QsACwsLFgsiCy0LOAtEC08LWwtmC3ILfQuJC5ULoQuuC7sLyAvUC+EL7gv7DAgMFAwhDC0MOgxGDFIMXwxsDHoMiAyWDKYMtQzFDNUM5gz2DQYNFQ0jDTANPA1GDU8NVw1eDWQNaQ1uDXINdw18DYINiQ2SDZsNpg2xDb4NzA3bDeoN+Q4IDhYOJQ4yDj4OSg5UDl4OZg5tDnMOdw57Dn4OgA6BDoAOfw58DncOcQ5qDmAOVA5HDjcOJQ4SDfwN5Q3LDbENlQ14DVsNPQ0fDQAM4gzEDKcMigxuDFIMNwwdDAML6gvSC7oLoguMC3ULYAtMCzkLKAsZCwwLAQr5CvQK8wr0CvkLAQsLCxgLJws4C0oLXAttC38LjwudC6kLtAu8C8ILxwvKC80LzwvRC9QL2AveC+UL7gv5DAUMEwwiDDIMQgxSDGIMcQx/DIwMmQymDLIMvwzODN4M8A0FDR4NOQ1XDXkNnQ3CDegODw40DlcOdg6RDqcOtw7BDsUOwg66Dq0OnA6IDnIOWw5FDjEOIA4SDgkOBA4EDggOEQ4dDiwOPg5SDpUOqQ6+DtIO5g74DwkPFw8lDzAPOg9CD0kPTw9TD1YPWA9YD1gPVw9UD1EPTA9HD0EPOw81Dy8PKQ8kDyAPHA8aDxgPFw8WDxUPFA8QDwsPAw73DugO1A68DqAOfw5bDjQODA3iDbkNkA1rDUgNKg0RDPwM7QzjDN0M3AzcDN8M4wzlDOcM5gzhDNoMzgy+DKsMlAx7DGAMRAwoDAwL8QvXC78LqAuTC4ALbQtaC0cLMwseCwgK8ArVCrkKnAp+Cl8KQAohCgMJ5wnNCbUJnwmKCXgJZwlXCUcJNwknCRYJBAjwCNsIxQitCJUIfAhiCEoIMggbCAUH8QfeB8wHvAeuB58HkgeFB3gHagddB08HQQczByQHFgcIBvoG7QbgBtQGyQa+BrQGqgagBpUGigZ9Bm8GYAZQBj4GKwYWBgEF7AXXBcEFrQWZBYcFdgVnBVkFTQVCBTgFLwUnBR8FFwUOBQUE+wTwBOQE2ATKBLsErASdBIwEfARrBFsESgQ6BCkEGQQKA/oD6gPbA8wDvQOtA54DjwOAA3EDYwNUA0UDNwMpAxsDDgMAAvQC5wLcAtACxQK7ArACpwKeApUCjAKDAnsCcwJrAmMCWwJTAksCQwI7AjMCLAIlAh4CGAISAgwCBwIBAfwB9gHvAegB3wHWAcoBvQGvAZ8BjQF7AWgBVAFAAS0BGgEJAPkA6wDeANQAywDDALwAtwCyAKwApwCgAJkAkACHAHwAcABjAFYASQA8ADAAJQAaABIACwAFAAH//v/8//v/+v/6//n/+P/3//T/8v/u/+r/5f/g/9v/1v/S/83/yf/F/8L/v/+8/7n/tv+z/7D/rP+o/6P/nv+Y/5L/jP+F/3//ef9z/23/aP9i/17/Wf9V/1H/Tf9J/0X/Qv8+/zr/Nv8y/y7/K/8o/yb/JP8j/yL/Iv8i/yP/JP8m/yj/Kf8r/yz/Lf8t/yz/K/8p/yb/Iv8d/xf/Ef8K/wP++/7z/ur+4v7Z/tH+yf7A/rj+sP6o/p/+l/6O/oX+ff50/mz+ZP5d/lf+Uv5Q/lD+U/5Y/mH+bf59/o/+pf69/tj+9P8Q/y3/Sf9j/3v/kf+j/7L/vf/F/8r/y//L/8j/xP/A/7z/uf+3/7b/uP+8/8L/yv/T/93/6P/z//0ABgANABEAEwASAA0ABv/7/+3/3f/L/7f/ov+N/3n/Zf9T/0P/Nf8q/yL/HP8a/xn/Gv8d/yH/Jf8p/yz/Lv8u/y3/Kf8k/xz/E/8I/v3+8f7l/tv+0f7J/sP+v/6+/r/+wf7G/s3+1P7d/ub+7/74/wD/CP8O/xT/Gv8e/yL/Jf8o/yr/K/8s/y3/Lf8t/yz/Kv8o/yX/I/8f/xz/Gv8Y/xf/GP8b/yD/J/8w/zz/Sv9a/2z/gP+U/6r/v//U/+n//AAOAB8ALgA6AEYATwBYAF8AZQBrAHEAdgB8AIIAigCSAJoAowCuALgAwwDOANgA4wDsAPQA+wEAAQQBBgEFAQMBAAD7APUA7gDnAOAA2QDUANAAzQDMAM0AzwDTANgA3gDlAOwA8wD5AP8BBAEIAQwBDgEPAREBEgETARQBFgEYARwBHwEjASgBLAEwATQBNgE2ATUBMwEvASkBIQEZARABBwD+APYA8ADrAOkA6ADqAO4A9AD8AQYBEAEbASYBMAE5AUEBRwFLAU4BTgFMAUkBQwE9ATUBLAEjARoBEQEIAQAA+QD0AO8A7ADrAOsA7QDwAPQA+gEBAQgBEAEXAR4BJAEpASwBLQErASgBIQEZAQ8BAwD1AOcA2QDLAL0AsgCoAKEAnACaAJoAnQChAKcArgC1ALwAwgDHAMoAywDKAMcAwQC7ALIAqgCiAJoAkwCOAIwAjACOAJQAnACmALIAwADOAN0A6wD5AQUBEAEZASABJQEoASkBKgEpAScBJQEjASEBIAEfAR4BHgEeAR8BIAEgASEBIQEhASEBIAEeARwBGQEWARMBEAEMAQkBBgEDAQAA/QD7APkA+AD3APcA9wD4APsA/gECAQcBDQEUARwBJQEvATkBRAFPAVoBZAFuAXcBfwGFAYoBjgGQAZEBkAGNAYoBhQGAAXkBcgFqAWIBWgFRAUcBPAExASQBFgEGAPQA4ADLALMAmgB/AGQASAAsABD/9v/e/8j/tf+m/5n/kf+L/4n/if+L/47/kv+V/5f/l/+U/4//iP99/3D/YP9P/z3/K/8Z/wj++v7t/uT+3f7a/tn+2v7e/uL+6P7t/vL+9v74/vj+9f7x/ur+4v7Y/sz+wf60/qj+nf6S/on+gf56/nT+b/5q/mf+ZP5h/l7+Wv5X/lT+UP5M/kn+Rf5C/j/+PP46/jj+N/42/jX+NP4z/jL+MP4u/iv+J/4i/h3+F/4R/gv+Bf3//fr99f3x/e797P3q/er96/3s/e/98f31/fn9/f4B/gb+C/4R/hf+Hf4k/iv+M/47/kT+TP5U/lz+Y/5q/nD+dP53/nr+ev56/nn+eP52/nX+dP50/nX+eP58/oL+iv6T/p3+qf61/sL+zv7a/uX+8P74/wD/Bv8L/xD/E/8W/xn/Hf8h/yb/LP8y/zr/Qv9L/1T/Xf9l/23/c/94/3z/ff99/3z/eP90/27/aP9h/1v/VP9N/0f/Qf88/zj/NP8w/y3/Kv8m/yP/IP8c/xj/FP8Q/wz/Cf8G/wP/Af8A/wD/Af8D/wb/C/8Q/xb/Hf8l/y3/Nv8+/0f/UP9Y/1//Zv9r/2//cv90/3T/c/9x/23/av9l/2H/Xf9a/1n/Wf9a/17/ZP9t/3f/g/+Q/5//rf+8/8n/1v/h/+r/8f/2//r//P/+AAAAAwAHAA0AFgAiADIARQBbAHQAjwCrAMgA4wD9ARQBJwE1AT8BRAFEAUABOAEtASABEgEFAPkA8QDsAOsA7wD4AQYBGQExAUwBagGKAawBzwHzAhYCOQJbAn0CnwLAAuIDBAMmA0kDbQOSA7cD3AQABCMERQRkBH8ElwSqBLgEwQTEBMIEugSuBJwEhwRuBFMENwQZA/wD4APFA6wDlwOFA3cDbQNoA2cDawN0A4EDlAOrA8YD5QQIBC4EVwSCBK8E3QUMBTsFagWYBcQF7wYYBj8GZAaGBqcGxQbiBv4HGAcyB0wHZQd/B5oHtQfRB+0ICwgpCEcIZQiDCKEIvgjaCPQJDgkmCT0JUwlnCXsJjQmfCbEJwwnUCeYJ+AoJChwKLQo/ClAKYQpxCoAKjQqaCqUKrwq5CsEKyArPCtYK3ArjCusK8wr8CwULEAsbCyYLMws/C0wLWAtlC3ELfQuIC5MLnQunC7ALugvDC8wL1QveC+cL8Qv6DAMMDQwWDCAMKgw0DD4MSAxTDF4Magx2DIMMkQygDK8MvwzPDN8M7gz+DQwNGg0mDTENOw1DDUoNUA1UDVgNXA1gDWQNaQ1vDXYNfw2JDZYNpA2zDcQN1Q3nDfoODQ4fDjEOQg5SDmEObw57DoYOkA6ZDqAOpw6sDrAOsw61DrUOtA6xDqwOpg6eDpMOhg54DmcOVA5ADioOEg35Dd8NxA2pDYwNcA1TDTcNGgz9DOEMxAyoDIsMbwxSDDYMGgv9C+ELxgurC5ALdwtfC0kLNQskCxULCgsCCv4K/QsACwcLEgsfCy8LQAtTC2cLeguMC50LrAu4C8ELyAvNC88L0AvQC9AL0QvSC9YL3AvmC/IMAgwVDCoMQQxaDHIMiwyiDLgMywzbDOkM9Az9DQQNCw0RDRkNIw0wDUENVQ1vDY0Nrw3UDfwOJg5QDnkOnw7BDt8O9w8HDxIPFQ8RDwcO+Q7lDs8Otw6fDogOcw5hDlMOSg5FDkUOSg5SDl8Obw6BDsIO0A7fDu4O/g8ODx0PLQ88D0oPWA9mD3IPfQ+HD5APlg+aD5wPmw+YD5IPig+AD3QPZw9aD00PQA81DysPJA8eDxsPGg8aDxsPHQ8dDx0PGQ8SDwYO9g7gDsQOpA5+DlQOJg33DcYNlg1oDT0NFgzzDNcMvwyuDKIMmgyXDJUMlgyWDJYMlAyQDIgMfgxvDF4MSgw0DBwMBAvsC9YLwAutC5wLjAt/C3ILZgtaC00LPwsvCxwLBgruCtMKtQqWCnUKVAoyChEJ8gnUCbgJnQmGCW8JWwlHCTQJIQkOCPsI5gjQCLkIoQiJCG8IVgg9CCUIDQf3B+IHzwe9B60HngeQB4MHdgdqB10HUQdDBzUHJwcZBwoG/AbtBt8G0gbFBrgGrAagBpQGiAZ8BnAGYgZUBkQGMwYhBg8F+wXmBdIFvQWpBZUFggVwBWAFUQVDBTYFKwUgBRYFDAUCBPgE7QThBNUEyAS6BKwEnQSNBH0EbQRdBE0EPQQuBB8EEAQCA/QD5gPYA8kDuwOtA54DjwOAA3EDYQNSA0MDNAMlAxYDCAL6Au0C4ALTAscCuwKvAqQCmgKPAoYCfAJzAmoCYgJZAlECSQJAAjgCLwInAh0CFAIKAgEB9wHtAeQB2gHRAckBwQG5AbIBqwGkAZ0BlQGNAYQBewFwAWQBVgFIATkBKQEYAQgA9wDnANgAyQC8AK8ApACaAJEAiAB/AHcAbgBlAFwAUQBGADoALgAhABQAB//6/+7/4//Z/9D/yP/B/7z/t/+0/7H/r/+s/6r/qP+m/6P/of+e/5z/mf+W/5T/kf+P/43/i/+J/4f/hP+B/37/ev92/3H/a/9l/1//WP9R/0r/RP89/zf/Mf8r/yX/IP8a/xX/D/8J/wL+/P71/u3+5v7f/tj+0v7M/sf+w/7A/r7+vf69/r7+wP7C/sT+x/7K/sz+zv7P/tD+0P7Q/s/+zf7K/sj+xP7A/rz+uP6z/q7+qf6j/p3+mP6S/oz+hf5//nn+cv5r/mX+Xf5W/k7+R/4//jf+L/4o/iH+G/4X/hT+E/4V/hn+If4r/jn+Sv5e/nT+jf6m/sH+3P72/w//J/88/07/Xf9p/3L/ef99/3//gP+A/4D/gP+B/4P/hv+L/5H/mP+g/6j/sf+6/8H/x//M/8//z//O/8r/xP+8/7P/qP+d/5H/hf96/3D/Zv9f/1n/VP9S/1H/Uf9T/1b/Wf9b/17/X/9f/13/Wf9T/0r/QP8z/yX/Ff8F/vX+5f7X/sr+v/63/rH+r/6v/rL+t/6//sj+0v7d/un+9P7//wn/Ev8b/yP/Kv8w/zX/Of89/0D/Qv9E/0T/RP9C/z//PP84/zP/Lv8p/yX/Iv8h/yL/Jv8t/zf/Rf9W/2r/gP+Y/7L/zP/nAAEAGQAwAEUAVwBnAHUAgQCLAJQAnACkAKsAswC8AMUAzgDYAOMA7gD5AQMBDQEVARwBIgElASYBJgEjAR8BGQERAQcA/QDzAOgA3ADSAMgAvwC4ALIArgCsAKwArgCxALYAvADCAMkA0ADXAN0A4gDmAOkA6wDrAOwA7ADsAO0A7wDyAPcA/gEGARABGwEnATMBPwFKAVMBWgFeAV8BXQFYAVABRQE5ASsBHgEQAQQA+QDxAOwA6gDqAO4A9AD8AQYBEQEcAScBMQE6AUIBSAFLAU4BTgFNAUsBRwFDAT8BOgE2ATIBLgEqAScBJAEhAR8BHgEcARwBGwEcAR0BHwEiASYBKgEwATUBOwFCAUgBTQFSAVYBWAFYAVcBVAFQAUkBQgE5ATABJwEeARUBDgEIAQMBAAD/AP4A/wEAAQEBAgECAQEA/gD6APMA6wDhANYAywC/ALMAqQChAJsAmACYAJsAogCrALcAxgDWAOYA9wEIARcBJAEvATcBPAE/AT8BPAE4ATEBKgEhARkBEQEJAQIA/AD4APQA8gDxAPEA8gD0APUA9wD5APsA/AD9AP0A/QD8APoA+AD2APQA8QDvAO0A7ADsAO0A7gDxAPYA/AEDAQsBFQEgASsBNwFDAVABWwFnAXEBewGDAYoBjwGTAZUBlQGUAZEBjQGHAYABeAFvAWUBWwFQAUQBOAEsAR8BEQEDAPUA5QDVAMQAsQCeAIoAdABfAEkAMwAeAAr/9//n/9j/zf/E/77/u/+7/73/wP/E/8j/zP/O/87/y//F/7z/r/+e/4v/df9d/0X/Lf8W/wH+7/7g/tT+zP7I/sj+yv7P/tX+3f7k/uv+8P7z/vX+8/7v/un+4f7W/sr+vv6w/qP+lv6K/n7+dP5q/mL+Wv5T/k3+R/5B/jz+N/4x/iz+J/4i/h7+Gv4W/hP+EP4N/gz+Cv4J/gf+Bv4E/gL9//38/fj98/3u/ej94v3c/db90P3L/cb9w/3A/b79vv2+/b/9wv3F/cn9zv3T/dj93v3k/er98P33/f7+Bf4N/hT+Hf4l/i7+N/5B/kr+U/5c/mT+bP5z/nn+fv6D/of+iv6O/pH+lf6Y/p3+ov6o/q/+tv6+/sb+zv7W/t3+4/7o/uv+7f7u/u7+7P7q/uj+5f7j/uL+4/7k/uf+7P7y/vr/A/8M/xb/H/8o/zD/N/88/z//Qf9B/z//PP84/zT/L/8q/yX/IP8b/xf/E/8Q/wz/CP8E/v/++f7z/uz+5P7b/tL+yf7A/rj+sP6q/qT+oP6e/p7+n/6i/qb+q/6x/rj+v/7F/sz+0v7Y/t3+4f7l/uj+6v7r/uv+6/7q/un+5/7k/uL+3/7d/tv+2f7Z/tn+3P7g/uf+8P77/wn/Gf8r/z7/Uv9n/3v/j/+i/7L/wP/L/9T/2v/d/97/3v/d/9z/2//a/9z/3//k/+r/8//9AAgAFAAfACoANAA8AEIARwBJAEsASwBLAEwATgBSAFkAYwByAIUAnAC3ANYA+AEdAUQBbAGVAb0B5AIKAi0CUAJwApACrgLLAucDBAMhAz8DXQN7A5sDuQPYA/UEEQQqBEEEUwRiBGwEcgRzBHAEaARcBE0EOwQoBBID/APnA9IDvgOtA58DlAOMA4kDigOPA5oDqAO8A9QD8QQRBDUEXQSIBLQE4wUTBUMFdAWkBdMGAAYsBlYGfQaiBsUG5QcDByAHOgdUB2wHhAebB7IHygfiB/sIFQgvCEsIZwiDCKAIvQjaCPcJEwkvCUkJYwl7CZIJqAm9CdEJ5An2CgcKGAooCjkKSQpZCmkKeQqICpgKpgq1CsIKzwrbCuYK8Qr6CwMLDAsUCxwLJQstCzYLPwtJC1MLXQtoC3MLfguJC5QLnwupC7ILuwvDC8sL0gvZC+AL5wvuC/QL/AwDDAsMEwwbDCQMLQw2DEAMSQxTDF0MZwxxDHwMhwySDJ4Mqgy3DMQM0QzfDOwM+Q0GDRINHQ0oDTENOQ1BDUcNTQ1TDVgNXg1jDWoNcQ15DYMNjg2aDacNtg3GDdYN5w34DgoOGw4sDjwOTA5bDmoOeA6FDpIOnw6qDrYOwQ7LDtQO3A7jDugO7A7tDu0O6Q7kDtwO0Q7EDrUOpA6RDnwOZg5PDjcOHw4GDewN0w25DZ4Ngw1oDUwNLw0SDPMM1Ay0DJQMcwxSDDEMEAvwC9ELswuXC34LaAtUC0ULOQsxCy4LLgsyCzsLRgtUC2ULdguIC5sLrAu7C8kL0wvbC+AL4QvhC94L2wvXC9QL0gvUC9kL4gvwDAIMGQw0DFMMdQyYDLsM3gz/DR4NOQ1QDWINcQ18DYQNig2PDZQNmw2kDbANwA3VDe8ODQ4uDlMOeQ6gDscO6w8LDygPPg9PD1kPXQ9aD1IPRA8zDyAPCg70Dt8Oyw66DqsOoQ6aDpYOlw6aDqEOqg61DwkPDA8PDxMPFw8cDyMPKw80Dz8PTA9ZD2gPdg+FD5IPng+oD68Psw+0D7EPqw+iD5YPiQ96D2sPXA9OD0IPOA8xDywPKg8qDywPLg8xDzIPMg8vDycPGw8JDvIO1Q6yDosOXw4wDf8Nzg2dDW4NQg0aDPYM1wy+DKkMmAyLDIAMeAxwDGgMXwxUDEcMOAwnDBQL/wvqC9QLvwusC5sLiwt/C3ULbQtnC2ILXQtYC1ILSQs+Cy8LHQsHCu4K0gqzCpEKbwpMCikKBwnmCccJqgmPCXUJXQlGCTAJGgkECO4I2AjACKgIjwh2CF0IRAgsCBQH/QfoB9QHwQewB6AHkAeCB3QHZgdYB0oHPActBx4HDwb/Bu8G4AbRBsIGswalBpcGigZ9BnAGYgZUBkYGNgYmBhUGBAXxBd4FygW2BaIFjwV8BWkFWAVIBTkFLAUfBRMFCAT9BPIE6ATdBNEExQS4BKsEnQSOBH8EbwRfBFAEQAQxBCIEFAQFA/gD6gPdA9ADwwO1A6gDmgOLA30DbgNfA08DQAMxAyIDFAMGAvkC7QLgAtUCygLAArUCrAKiApgCjwKGAnwCcwJpAmACVgJMAkECNgIrAiACFAIHAfoB7QHfAdABwgG0AaYBmAGLAX8BdAFqAWEBWAFRAUsBRQE/AToBNAEuAScBHwEWAQsBAAD0AOYA2ADKALsArQCeAI8AggB0AGcAWgBOAEMANwArACAAFAAI//3/8f/l/9r/z//E/7r/sP+n/57/lv+P/4j/gf97/3b/cP9r/2f/Yv9e/1v/WP9W/1T/U/9S/1L/Uv9S/1L/Uv9R/0//TP9H/0L/O/8z/yr/IP8V/wv/AP72/uz+5P7c/tX+z/7K/sX+wf68/rj+s/6u/qj+of6Z/pL+iv6B/nr+cv5r/mb+Yf5e/lz+Wv5a/lv+XP5e/mD+Yf5i/mP+ZP5k/mP+Yv5h/mD+X/5f/l7+Xv5e/l7+X/5f/mD+X/5f/l3+W/5Y/lT+UP5K/kX+P/44/jL+K/4k/h7+F/4R/gv+Bv4A/fv99/3z/fD97v3u/e/98v34/gD+C/4Y/if+Of5M/mL+eP6O/qX+uv7P/uP+9P8E/xL/Hv8o/zH/Of8//0X/S/9R/1f/Xf9j/2n/b/91/3r/f/+C/4T/hf+E/4L/fv96/3X/bv9o/2L/XP9X/1L/Tv9M/0r/Sv9L/03/UP9T/1f/XP9g/2P/Z/9p/2r/af9n/2P/Xv9W/03/Qf81/yf/Gf8L/v3+8f7l/tz+1f7Q/s7+z/7S/tj+4P7o/vP+/f8I/xL/G/8k/yv/Mf82/zr/Pf9A/0L/RP9F/0b/R/9H/0f/R/9G/0X/Q/9B/z//Pf88/z3/QP9F/0z/V/9m/3j/jf+l/8D/3f/6ABgANQBQAGkAfwCSAKEArQC2AL0AwQDEAMYAyADKAM0A0gDYAOAA6QDzAP0BBwERARoBIQElASgBKAEmASIBGwESAQgA/QDyAOYA2gDPAMQAuwCyAKwApwCjAKEAoQCjAKUAqgCvALQAuwDBAMcAzADRANQA1QDWANUA0wDPAMwAyADFAMIAwgDDAMYAzADUAN8A6wD5AQcBFQEjAS4BOAE/AUIBQwFAAToBMQEnARwBEAEFAPsA8wDtAOoA6gDtAPMA+gEEAQ8BGgElATABOQFBAUgBTQFQAVIBUgFSAVEBUAFPAU8BTwFPAVABUQFSAVMBVAFUAVQBUwFSAVABTQFJAUYBQgE/AT0BPAE8AT0BQAFEAUkBTwFWAV4BZQFrAXEBdQF4AXkBeAF1AXABagFjAVoBUgFJAUEBOQEzAS0BKAElASIBIAEeARsBGAEUAQ4BCAEAAPYA7ADhANYAzADDALwAtwC1ALYAuwDCAM0A2gDpAPoBCwEcASwBOgFHAVABVgFZAVgBVQFPAUcBPQExASUBGQEOAQMA+gDyAOwA6ADlAOMA4wDkAOYA6ADqAOwA7QDuAO4A7QDsAOkA5gDjAN8A3ADZANYA1QDVANcA2gDfAOYA7gD4AQQBEAEdASsBOAFGAVIBXQFoAXEBeAF+AYIBhQGGAYYBhAGBAX0BeAFyAWsBYwFaAVABRQE6AS4BIgEVAQgA+wDuAOAA0gDEALYAqACZAIoAewBsAF0ATQA+ADAAIwAWAAwAA//8//b/8//x//D/8P/x//D/7//s/+f/3//U/8b/tf+i/4z/dP9c/0P/K/8W/wL+8v7l/tz+1/7V/tb+2f7f/uX+7P7y/vf++v77/vr+9v7w/uj+3f7R/sX+t/6p/pz+j/6C/nf+bP5i/lj+T/5H/j/+N/4w/ij+If4a/hP+Df4H/gL9/f35/fb98v3w/e796/3p/ef95P3h/d792v3W/dH9zP3G/cH9vP23/bL9rv2q/aj9pv2l/aX9pf2n/an9rP2v/bP9t/27/b/9xP3I/c390v3X/dz94v3o/fD9+P4B/gv+Ff4h/i3+O/5I/lb+ZP5y/oD+jf6a/qb+sf67/sX+zv7W/t7+5f7r/vD+9f75/vv+/f79/vv++f70/u/+5/7f/tf+zf7E/rz+tP6u/qr+p/6n/qr+rv60/rz+xf7O/tj+4f7q/vH+9/77/v3+/f78/vr+9/7z/u7+6v7l/uH+3v7b/tj+1v7T/tD+zP7H/sH+uf6w/qb+mv6O/oH+dP5n/lz+Uf5J/kL+Pf47/jv+Pf5B/kf+Tf5U/lz+Y/5q/nD+df56/n3+gP6B/oP+g/6D/oP+g/6D/oP+gv6C/oH+gP5+/n3+e/56/nr+ev58/n/+hf6N/pj+p/64/sz+4/79/xf/M/9O/2n/gf+X/6r/uf/E/8v/zv/N/8n/wv+5/7D/pf+c/5L/i/+E/4D/fv99/37/gf+F/4r/kP+Y/6H/q/+2/8T/1f/o//4AFwA0AFQAdwCdAMUA7gEZAUQBbgGYAcAB5gIKAiwCSwJpAoUCoQK7AtUC7wMJAyQDPwNaA3UDjwOpA8AD1gPpA/gEBAQMBBAEEAQMBAUD+wPuA98DzwO+A60DnQONA4ADdANrA2UDYgNiA2YDbgN6A4oDngO2A9ID8gQUBDoEYwSOBLoE6AUWBUUFcwWgBc0F9wYgBkgGbQaRBrMG0wbxBw8HKwdHB2IHfQeXB7IHzAfnCAEIHAg3CFMIbgiKCKYIwgjdCPkJFQkvCUoJYwl8CZQJrAnCCdcJ7AoAChMKJQo3CkkKWgpsCn0KjwqgCrEKwwrUCuUK9QsFCxQLIwsxCz4LSgtWC2ELbAt2C38LiAuRC5oLogurC7ILugvBC8gLzgvUC9kL3gvjC+cL6wvvC/ML+Av9DAIMCAwPDBcMHwwoDDEMOwxFDFAMWwxmDHEMfAyHDJIMnQypDLQMvwzKDNUM4AzqDPUNAA0KDRMNHQ0mDS8NNw0/DUcNTw1XDWANaQ1yDXwNhw2TDZ8NrA25DcgN1g3lDfQOAw4SDiAOLw49DksOWQ5nDnUOgw6RDqEOsA7ADtAO4Q7xDwEPEA8dDyoPNA87D0APQw9CDz4PNw8tDyEPEw8CDvAO3A7IDrIOnA6FDm4OVg49DiQOCQ3tDc8NsA2PDW0NSQ0jDPwM1QyuDIYMYAw7DBcL9wvZC74LqAuVC4cLfQt4C3cLeguBC4sLmAumC7YLxgvWC+UL8gv9DAQMCQwLDAoMBgwBC/oL8wvtC+kL5wvqC/EL/QwPDCcMRAxmDIwMtAzfDQoNNA1cDYENog2+DdYN6g35DgUODg4WDh0OJQ4vDjsOSw5eDnQOjg6qDsgO5w8FDyIPPQ9TD2YPdA99D4APfw96D3EPZg9YD0kPOw8tDyEPFg8NDwcPAg8ADv8O/w8ADwIPBQ8HD3MPbA9kD1sPUw9MD0cPRA9ED0cPTQ9WD2EPbQ97D4oPlw+jD64Ptg+6D7wPug+1D60Pow+XD4oPfg9xD2YPXA9UD08PTA9KD0oPSw9MD00PTA9JD0IPOA8pDxUO/A7fDrwOlg5tDkEOEw3lDbcNiw1iDToNFwz2DNkMwAyoDJQMgQxuDFwMSgw4DCQMEAv7C+ULzwu6C6YLlAuDC3YLawtiC10LWQtXC1YLVQtTC1ALSgtBCzULJQsRCvoK3wrBCqEKgApeCjwKGwn6CdsJvgmiCYcJbglWCT4JJgkPCPcI3wjGCK0Ikwh6CGAIRggtCBQH/QfmB9AHuweoB5UHggdxB18HTgc9BywHGwcLBvoG6gbaBsoGuwasBp0GjwaCBnQGZwZZBksGPQYvBh8GDwX+BewF2gXHBbQFoAWMBXkFZgVTBUEFMAUgBREFAwT1BOkE3ATQBMUEuQSuBKIElgSJBHwEbwRiBFMERQQ3BCkEGgQMA/4D8APjA9UDyAO6A60DnwORA4MDdQNmA1cDSAM6AysDHAMOAwAC8wLnAtsC0ALGAr0CswKqAqICmQKQAocCfgJ0AmoCXwJUAkgCPAIvAiICFQIHAfgB6QHaAcsBuwGrAZsBiwF8AWwBXgFQAUMBOAEuASUBHQEWAREBDAEIAQQBAQD9APkA9ADuAOcA3gDVAMoAvgCxAKMAlQCGAHYAZwBXAEcAOAApABkAC//9/+//4v/V/8n/vv+z/6n/oP+Y/5D/if+C/3z/dv9w/2r/Zf9f/1n/U/9O/0j/Q/8//zr/N/81/zP/Mv8y/zL/Mv8y/zL/Mf8u/yv/Jf8d/xT/Cf79/u/+4P7R/sL+s/6l/pj+jP6C/nr+c/5t/mj+ZP5h/l3+Wv5W/lH+S/5F/j/+OP4x/iv+JP4f/hv+F/4V/hT+FP4U/hX+F/4Y/hn+Gv4a/hr+Gf4Y/hf+Fv4V/hX+Fv4X/hn+HP4g/iT+KP4s/i/+Mf4z/jL+Mf4t/ij+Iv4a/hH+CP3//fb97v3m/d/92f3V/dH9zv3M/cr9yf3J/cn9yv3L/c390P3U/dr94v3r/fb+A/4S/iL+NP5G/ln+bP5//pH+ov6y/sL+0P7d/uj+8/7+/wf/Ef8Z/yL/Kf8x/zf/Pf9B/0T/Rv9G/0X/Q/9A/zz/OP80/zD/LP8q/yn/Kf8q/yz/MP80/zn/P/9E/0r/T/9T/1b/Wf9b/13/Xf9d/1z/W/9Z/1f/VP9R/03/Sf9E/z//Ov81/zH/Lf8q/yj/KP8p/yz/MP82/z3/Rf9O/1b/Xv9l/2v/b/9y/3P/cv9w/23/af9k/1//W/9X/1P/Uf9P/07/Tv9O/0//UP9S/1T/WP9d/2T/bf94/4f/mP+s/8T/3v/6ABgANwBWAHQAkACpAL8A0QDeAOcA7QDvAO0A6gDlAOAA2wDWANMA0gDSANMA1gDaAN4A4wDmAOkA6gDpAOcA5ADeANgA0QDJAMEAugCzAK4AqQClAKIAoACfAJ4AnwCfAKAAogCkAKYAqQCsALAAtAC4ALwAvwDCAMUAxgDFAMQAwQC9ALgAsgCtAKcAowCfAJ4AngChAKUArAC1AL8AyQDUAN4A5wDvAPQA+AD5APgA9QDxAOwA5wDiAN4A3ADbAN0A4ADmAO0A9gEAAQoBFAEeAScBLwE2ATsBPwFCAUQBRgFHAUkBSgFMAU8BUgFWAVoBXwFkAWgBbAFwAXIBcwFzAXIBcAFtAWkBZAFgAVsBVwFTAVEBUAFRAVMBVwFcAWIBaQFwAXcBfgGEAYgBigGKAYkBhQF/AXgBbwFmAVwBUgFJAUEBOgE0ATABLAEqASgBJgElASIBHgEaARMBDAEDAPoA8ADnAN4A2ADTANEA0QDVANsA5QDwAP4BDAEbASoBNwFCAUsBUgFVAVYBUwFOAUcBPQEzASgBHQESAQcA/gD3APAA7ADoAOYA5ADkAOQA5ADkAOMA4gDgAN0A2QDVANAAygDFAL8AuwC3ALQAswC0ALgAvQDEAM4A2QDmAPMBAgEQAR8BLQE5AUUBTgFWAV0BYgFlAWcBaAFpAWgBaAFmAWUBYwFgAV0BWQFVAU8BSQFBATkBLwElARsBDwEEAPgA7ADhANUAyQC9ALAApACXAIkAewBtAF4AUABCADQAKAAcABIACQAA//n/8//t/+f/4P/Y/8//xP+3/6j/l/+F/3H/Xf9J/zX/I/8U/wb+/P71/vH+7/7w/vP+9/78/wD/A/8F/wX/A/7+/vj+7/7k/tn+zP6//rH+pf6Y/o3+gv54/m/+Zv5d/lX+Tf5E/jv+M/4q/iH+GP4Q/gj+AP36/fT97/3q/ef94/3g/d392v3W/dL9zv3J/cT9vv25/bP9rf2o/aP9n/2b/Zn9l/2V/ZX9lf2V/Zb9mP2Z/Zv9nP2e/Z/9of2j/aT9pv2n/an9rP2v/bL9t/29/cT9zf3X/eP98v4C/hP+J/47/lH+Z/5+/pT+qv6+/tL+4/7z/wH/DP8V/xz/If8k/yX/I/8g/xv/FP8M/wL+9/7q/t3+zv7A/rL+pP6X/ov+gf55/nP+cP5v/nH+dP55/oD+iP6Q/pf+nv6k/qj+q/6s/qv+qf6l/qD+mv6U/o/+if6E/oD+fP55/nf+dP5x/m7+av5l/l7+Vv5M/kH+Nf4o/hv+Dv4B/fb97f3l/eD93v3d/eD95P3q/fL9+v4D/gv+E/4a/iD+Jf4o/iv+LP4t/i3+Lv4u/i/+MP4y/jT+Nv44/jr+O/48/jv+Ov44/jX+Mv4w/i7+Lv4w/jX+Pv5L/lz+cf6K/qb+xf7m/wf/KP9H/2P/e/+P/53/pv+p/6j/of+X/4r/e/9r/1v/TP8//zT/LP8n/yX/Jv8q/zH/O/9H/1b/Zv95/4//p//B/97//QAfAEMAaQCRALoA5AEOATgBYQGIAa0B0QHyAhECLwJKAmUCfgKXArACygLjAv0DGAMyA0sDZAN7A5EDowOyA74DxQPJA8kDxQO+A7QDqAOaA4oDewNrA1wDTwNDAzkDMQMsAykDKgMtAzQDPQNKA1sDbgOFA6ADvQPdBAAEJQRMBHUEnwTJBPQFHgVIBXEFmAW/BeUGCgYtBlAGcgaTBrQG1Qb1BxQHNAdTB3IHkAeuB8sH6AgECCAIOwhWCHAIiwilCMAI2gj0CQ0JJwlACVkJcgmJCaAJtgnMCeEJ9QoJChwKLwpCClYKagp9CpIKpgq7CtAK5Qr6Cw4LIQs0C0YLVgtlC3QLgAuMC5cLoQuqC7ILugvBC8gLzgvUC9kL3wvjC+gL7AvwC/ML9wv6C/0MAAwEDAgMDAwSDBcMHgwmDC4MNwxBDEwMWAxkDHAMfQyKDJgMpQyyDL8MywzXDOIM7Qz4DQINCw0UDR0NJQ0uDTYNPw1IDVENWw1lDXANfA2IDZUNow2yDcEN0A3gDfEOAQ4RDiEOMQ5BDlEOYA5vDn8Ojg6eDq4Ovg7QDuIO9A8HDxsPLw9DD1YPaA96D4kPlg+hD6gPrQ+vD60PqA+hD5YPig97D2sPWQ9GDzMPHw8KDvQO3Q7FDqsOjw5xDlEOLQ4HDd4Nsw2GDVcNJwz3DMgMmwxwDEgMJAwFC+oL1gvHC70LuQu6C78LyQvVC+QL9AwFDBYMJQwzDD8MRwxMDE4MTQxJDEIMOgwwDCcMHwwZDBcMGAwfDCsMPgxWDHQMlwy+DOkNFg1DDXENnA3FDesODA4oDkAOUw5jDnAOew6FDo4OmQ6lDrQOxQ7ZDu4PBg8fDzcPTw9kD3cPhw+SD5kPnA+bD5YPjg+FD3oPcA9mD14PWA9UD1QPVg9ZD18PZg9tD3MPeA97D30PfA94D94P1A/ID7sPrg+hD5cPjg+ID4YPhw+KD5EPmQ+jD60PuA/CD8oP0Q/VD9YP1Q/SD8wPxQ+8D7IPqA+eD5UPjQ+GD38Pew92D3MPcA9tD2kPZA9dD1QPSQ86DygPEw76Dt4Ovw6dDngOUg4rDgMN2g2yDYsNZQ1BDR4M/QzeDMAMowyIDG0MUww6DCAMCAvwC9gLwQusC5kLhwt4C2sLYQtYC1ILTgtLC0gLRQtCCz0LNgstCyALEQr/CukK0Qq3CpwKfwphCkQKJwoKCe4J1Am6CaEJiAlwCVgJQAkoCQ8I9gjcCMEIpwiMCHAIVQg7CCEIBwfuB9UHvQemB48HeAdiB00HOAckBxAG/QbrBtkGyAa4BqoGmwaNBoAGcwZnBloGTQY/BjIGIwYUBgQF8wXiBdAFvQWrBZgFhQVyBV4FTAU5BScFFQUEBPME4gTTBMMEtQSnBJkEjAR/BHMEZwRbBE4EQgQ2BCkEHAQPBAED8wPlA9YDxwO4A6oDmwOMA30DbgNgA1EDQwM1AyYDGAMKAvwC7wLiAtUCyQK9ArECpwKcApICiAJ/AnUCawJhAlcCTQJBAjYCKQIdAhACAgH0AeYB1wHIAboBqwGdAY4BgAFyAWUBVwFLAT4BMwEoAR0BFAELAQMA/AD2APAA6wDmAOIA3gDaANYA0QDMAMcAwAC5ALEAqACeAJMAhwB6AGwAXgBOAD4ALgAdAAv/+v/p/9j/yP+4/6n/nP+P/4T/e/9z/2z/Zv9h/17/W/9Y/1b/VP9S/0//Tf9K/0f/RP9B/z7/O/85/zb/NP8z/zH/L/8t/yr/J/8i/xv/E/8K/v7+8v7j/tT+w/6z/qL+kv6C/nP+Zv5a/lD+R/4//jj+Mv4t/ij+I/4e/hj+E/4N/gf+Af38/ff98/3v/e397P3r/ez97v3w/fL99P32/fj9+f36/fr9+v35/fj99/33/ff9+P36/fz9//4D/gf+C/4O/hH+Ev4S/hD+DP4G/f799f3q/d/91P3I/b79tP2r/aX9n/2b/Zn9mP2Y/Zj9mv2b/Z39n/2h/aT9qP2s/bH9uP3A/cr91f3i/fH+Af4R/iP+NP5F/lb+Zv51/oP+kP6c/qf+sf67/sX+zf7W/t/+5v7u/vX++v7//wL/BP8F/wX/BP8D/wH/AP8A/wH/A/8I/w3/Ff8e/yj/Mv89/0f/UP9X/13/Yf9j/2P/Yf9f/1v/V/9T/1D/Tv9N/07/UP9U/1n/Xv9l/2z/c/96/4H/h/+O/5T/mv+g/6b/rP+y/7n/v//F/8r/zv/Q/9H/0P/N/8j/wf+5/6//pf+a/5D/hv9+/3f/cf9u/2z/bP9t/3H/df96/4H/iP+R/5v/p/+1/8T/1v/rAAEAGgA1AFAAbQCIAKMAvADSAOUA8wD+AQUBBwEGAQIA+wDyAOkA3wDVAMsAwwC7ALUArwCqAKYAoQCcAJcAkgCMAIcAgQB8AHcAdABxAHEAcgB1AHkAfgCEAIoAjwCVAJkAnACeAJ8AnwCfAJ4AnQCcAJ0AngCgAKMApwCrALAAtAC4ALsAvAC8ALsAtwCyAK0ApgCgAJoAlQCSAI8AjwCRAJQAmQCfAKUArACzALkAvgDDAMcAyQDLAM0AzgDPANEA0wDVANkA3gDjAOkA7wD2AP0BBAEKARABFgEbASABJAEoASwBLwEzATcBOwFAAUQBSQFOAVMBVwFcAWEBZQFqAW0BcQFzAXUBdwF4AXgBeAF2AXQBcgFwAW0BawFqAWkBaAFpAWsBbwFzAXgBfQGCAYcBiwGOAY8BjwGMAYgBgQF5AXABZwFdAVMBSwFDAT0BOAE1ATIBMQEvAS4BLAEoASQBHgEXAQ4BBQD7APEA6ADhANsA2ADXANkA3gDlAO4A+AECAQ0BFwEgASYBKwEuAS4BLAEnASEBGgESAQoBAgD6APIA7ADnAOIA3wDcANoA2ADWANQA0gDPAMwAyADDAL0AtwCwAKoAowCdAJcAkgCPAI4AjwCSAJcAnwCoALQAwQDQAN8A7gD9AQsBGAEjASwBMwE4ATwBPgE/AUABQAFAAUEBQgFDAUUBSAFKAUwBTQFOAU0BSwFHAUIBOwEzASoBIAEWAQoA/wDzAOcA2wDOAMEAswCkAJUAhABzAGEATwA9ACsAGQAJ//r/7f/h/9b/zP/E/7z/s/+r/6H/l/+L/37/b/9g/1D/Qf8x/yT/GP8O/wf/Av8A/wD/Av8G/wr/Dv8R/xP/Ev8Q/wr/A/75/u3+4P7S/sP+tf6o/pz+kf6H/n7+d/5w/mn+Y/5c/lX+TP5E/jr+MP4l/hr+EP4G/f399P3t/ef94v3e/dr91v3S/c79yf3E/b79t/2v/af9n/2Y/ZD9iv2E/X/9fP16/Xn9ef16/Xv9ff2A/YL9hP2G/Yj9if2K/Yv9jP2M/Y39jv2O/ZD9kv2V/Zn9nv2l/a79uf3H/df96f39/hT+Lf5H/mP+f/6b/rb+0P7n/vz/D/8d/yn/MP81/zX/M/8u/yb/HP8R/wT+9f7m/tf+x/63/qf+l/6I/nn+bP5g/lb+Tf5G/kH+P/4+/j/+Qf5F/kn+Tv5S/lb+WP5a/ln+V/5T/k3+Rv4//jb+Lf4k/hz+FP4N/gf+Av39/fr99v3y/e796v3k/d791v3O/cT9uv2v/aX9m/2S/Yv9hf2C/YH9gv2G/Yz9lP2d/aj9s/2+/cj90f3Z/d/94/3m/ef95v3l/eP94f3g/d/93/3g/eL95P3o/ev97/3y/fT99P30/fP98P3t/er96P3n/en97v33/gT+Fv4s/kb+ZP6F/qf+yf7r/wr/Jv89/1D/XP9j/2X/Yf9Z/07/QP8y/yP/Fv8K/wH++/75/vv+//8I/xP/If8x/0T/WP9v/4f/ov++/93//gAhAEYAbgCXAMEA6wEWAT8BaAGPAbMB1QH0AhACKwJDAlkCbgKDApgCrQLDAtkC8QMIAyADNwNNA2EDcwOCA44DlgOaA5oDlwORA4gDfQNxA2MDVgNJAzwDMgMpAyEDHAMZAxkDGwMfAyYDMAM7A0oDXANwA4YDoAO8A9sD+wQeBEIEZwSOBLQE2wUBBScFTQVyBZYFugXeBgAGIwZGBmkGjAavBtIG9AcXBzkHWgd7B5oHuQfXB/MIDwgqCEQIXgh4CJEIqgjCCNsI8wkLCSMJOQlPCWUJeQmMCZ8JsQnCCdMJ5An1CgcKGQotCkAKVQprCoEKlwqtCsQK2grvCwQLFwspCzsLSgtZC2cLdAuAC4wLlwuhC6wLtgvAC8oL0wvcC+QL7AvzC/kL/gwCDAYMCQwLDA4MEAwTDBUMGQweDCMMKgwzDD0MSAxVDGIMcgyCDJIMowy0DMUM1QzlDPMNAQ0ODRkNJA0uDTcNQA1IDVENWQ1iDWwNdg2BDY0Nmg2oDbcNxw3YDekN+w4ODiEONA5IDlwOcQ6FDpkOrg7CDtYO6w7/DxMPJw87D1APZA94D4wPnw+zD8UP1g/mD/QQABAKEBEQFRAXEBUQERAKEAEP9g/pD9sPzA+8D6wPmw+JD3YPYg9NDzQPGQ77DtkOsw6IDloOJw3xDbkNfg1EDQoM0gyeDG4MRQwhDAUL8QvkC98L4AvpC/YMCAwcDDIMSQxeDHIMggyPDJgMnAycDJcMjwyFDHkMbAxfDFUMTQxKDEwMVAxiDHYMkQyzDNkNBA0zDWMNlA3EDfIOHQ5DDmUOgg6aDq0OvA7IDtEO2g7iDusO9w8EDxQPJw88D1MPaw+DD5oPrg/AD84P1w/cD9wP2A/QD8UPuA+rD54Pkw+KD4QPgw+FD4oPlA+fD60Puw/ID9UP3w/lD+kP6Q/lEB8QGRAREAcP/g/1D+0P5w/jD+EP4g/lD+kP7g/1D/sQABAFEAgQCRAIEAYQAQ/7D/QP7A/jD9sP0g/JD8EPug+zD6wPpQ+eD5cPjw+HD34PdA9oD1wPTg8/Dy4PHA8IDvMO3A7DDqgOiw5sDksOKQ4FDd8NuQ2SDWoNQw0cDPUM0AysDIkMaAxJDCsMDwv1C90LxguxC54LjQt+C3ALZAtaC1ALSAtBCzoLMgsqCyILGAsNCwAK8QrhCs8KuwqlCo8KeApgCkkKMAoYCgEJ6QnRCbkJogmJCXEJWAk+CSQJCQjuCNMItwicCIAIZQhKCC8IFAf6B+EHxweuB5YHfQdlB00HNwcgBwsG9gbjBtEGwAavBqAGkgaEBncGaQZcBk4GQAYxBiIGEgYBBfAF3wXNBbwFqgWYBYcFdQVkBVIFQAUuBRwFCgT3BOUE0gTABK4EnQSMBHwEbQReBFEEQwQ3BCoEHgQSBAUD+APqA9sDzAO8A6sDmwOKA3kDaANYA0gDOQMrAx0DDwMCAvUC6QLcAtACwwK3AqoCngKRAoUCeAJsAmACVAJJAj4CMgInAhwCEQIFAfoB7gHhAdUByAG6Aa0BnwGSAYQBdwFqAV4BUQFGAToBLwElARsBEQEIAP8A9gDuAOYA3gDWAM8AyADBALsAtQCwAKsApwCjAKAAnACZAJYAkgCNAIgAggB7AHIAaABcAE4APwAuABwACP/0/9//yv+2/6L/j/99/23/X/9T/0n/QP86/zX/Mv8x/zD/MP8w/zH/Mf8y/zH/Mf8w/y7/LP8p/yb/Iv8f/xv/Fv8S/w3/B/8B/vv+9P7s/uP+2v7Q/sX+uv6u/qL+lv6J/n3+cf5l/lr+T/5F/jv+Mf4o/h/+Fv4O/gb9/v33/fD96v3l/eH93v3b/dr92f3a/dv93f3f/eH95P3m/ej96f3p/er96f3o/ej95v3l/eX95P3k/eT95f3l/eb95v3m/eX95P3h/d392P3R/cr9wf24/a/9pv2d/ZX9jf2H/YL9fv17/Xn9d/12/XX9dP1z/XL9cf1x/XH9cf1z/Xf9fP2D/Y39mP2m/bX9xv3Y/er9/P4O/h/+Lv49/kr+Vf5f/mj+cf55/oD+iP6P/pf+n/6m/q7+tP66/r7+wv7E/sb+x/7H/sj+yf7M/tD+1/7f/ur+9/8F/xT/JP80/0L/T/9Z/2D/ZP9l/2P/X/9Y/1H/Sf9C/z3/Of84/zv/QP9J/1T/Yf9w/4D/kP+g/6//vv/L/9b/4P/p//D/9//9AAIABgAKAA0ADgAOAA0ACgAG////9//t/+L/1v/K/7//tf+s/6X/oP+e/57/oP+k/6r/sv+6/8P/zP/V/9//6f/0AAAADAAaACkAOQBLAF4AcgCHAJsArwDAANAA3gDoAO8A8gDyAO8A6QDhANYAywC+ALEApACWAIoAfQBxAGYAXABSAEkAQQA7ADYAMgAxADIANAA5AEEASgBUAF8AawB3AIEAigCSAJcAmgCaAJkAlgCSAI4AigCGAIQAhACGAIoAjwCXAJ8AqACxALoAwQDGAMoAywDKAMcAwgC9ALYAsACqAKQAoACdAJwAnQCfAKMApwCsALIAuAC+AMQAygDPANQA2ADcAOAA4wDnAOkA7ADuAPAA8gD0APYA9wD5APwA/wEDAQcBDAERARgBHgElASwBMwE5AT4BQwFGAUkBSwFNAU4BUAFRAVMBVgFZAV0BYgFmAWsBbwFzAXYBdwF3AXYBdAFxAW4BagFnAWUBZQFlAWgBbAFxAXgBfgGFAYoBjgGRAZEBjwGLAYQBfAFyAWgBXgFUAUsBQwE8ATcBMwEwAS0BKgEnASMBHgEYARABCAD/APUA7QDkAN4A2QDWANUA1wDaAN8A5QDrAPIA+AD9AQABAwEDAQEA/wD7APYA8ADqAOUA3wDbANYA0wDPAMwAygDHAMQAwAC8ALgAsgCtAKYAnwCYAJAAiQCBAHoAcwBuAGkAZgBkAGUAZwBsAHMAfACHAJMAogCwAMAAzwDdAOoA9gEAAQcBDQERARMBFAEUARQBFAEUARUBFwEaAR4BIQElASgBKwEsASsBKQEkAR4BFgEMAQEA9QDpANwA0ADDALYAqQCcAI8AgAByAGIAUQBAAC4AHAAK//j/5//Y/8v/v/+1/63/pv+g/5v/lf+P/4f/f/90/2j/W/9N/z7/MP8i/xb/DP8F/wD+/v7//wL/Bv8L/xD/Ff8X/xf/Ff8Q/wj+/v7x/uP+0/7E/rX+p/6a/o/+hf59/nb+cP5r/mX+X/5Y/lD+R/48/jD+JP4X/gv9//30/er94v3b/dX90f3N/cr9xv3C/b39t/2w/af9nv2T/Yn9fv1z/Wr9Yv1b/Vb9U/1R/VH9U/1V/Vj9XP1g/WT9aP1s/XD9c/12/Xn9fP1//YL9hv2K/Y79k/2Y/Z/9p/2x/bz9yf3Z/ev9//4W/i/+Sv5l/oL+n/66/tT+6/7//xD/HP8k/yf/Jf8g/xf/Cv78/uv+2f7H/rT+o/6R/oH+cf5j/lb+Sv4//jX+LP4l/h7+Gf4V/hP+Ef4R/hH+Ev4T/hT+Ff4V/hT+Ef4N/gf+AP33/e394v3W/cr9vv2y/af9nf2U/Yz9hv2A/Xr9dv1x/W39aP1j/V79V/1R/Ur9Q/09/Tb9Mf0t/Sr9Kf0q/S39Mv05/UL9Tf1Z/Wb9c/2A/Yz9mP2h/aj9rf2w/bH9r/2s/af9ov2d/Zj9lP2R/Y/9j/2Q/ZP9lv2a/Z/9o/2n/ar9rf2v/bH9s/22/bv9wv3M/dn96v3//hf+M/5Q/nD+kP6v/sz+5v79/w//G/8j/yb/JP8f/xb/Df8C/vj+8P7q/uf+5/7q/vL+/P8K/xr/LP9A/1b/bf+G/6H/vf/c//0AIABGAG8AmQDGAPMBIQFPAXsBpgHNAfECEQItAkQCWQJpAngChAKQApsCqAK1AsQC1QLnAvwDEAMmAzsDTgNgA28DewOEA4oDjAOLA4cDgQN5A3EDaANgA1kDUwNOA0sDSgNLA04DUgNYA18DaANyA34DjAOcA64DwgPZA/EEDAQpBEgEaASLBK4E0gT2BRsFQAVlBYkFrQXSBfYGGgY+BmIGhgarBs8G9AcYBzwHXweCB6MHxAfjCAEIHgg5CFQIbQiFCJ0IswjJCN4I8wkGCRgJKQk6CUkJVwljCXAJewmGCZEJnAmoCbQJwgnRCeEJ8woGChoKLwpECloKcAqGCpwKsQrFCtkK7Ar+CxALIQsyC0MLUwtkC3QLhAuUC6QLsgvAC84L2QvkC+0L9Qv8DAAMBAwGDAgMCQwKDAsMDAwODBIMFwweDCYMMgw/DE4MXwxxDIUMmgyvDMMM2AzsDP4NEA0gDS4NOw1HDVINXQ1nDXENew2FDZANnA2pDbYNxQ3VDeUN9g4IDhsOLw5DDlgObg6EDpsOsg7KDuIO+g8SDyoPQg9ZD3APhg+cD7APxA/XD+oP/BANEB0QLBA6EEcQUhBcEGMQaBBrEGwQaxBnEGEQWhBSEEgQPhA0ECkQHhATEAYP+A/oD9UPvw+kD4MPXQ8xDv8Oxg6JDkYOAQ26DXMNLgzsDLAMewxODCsMEgwCC/0MAQwMDB8MNwxSDG4MiwylDLwMzgzbDOIM4wzfDNUMyAy4DKgMlwyJDH4MeAx4DH8MjgykDMIM5w0SDUINdg2rDeIOGA5LDnoOpQ7KDuoPAw8XDyYPMQ85Dz8PRA9KD1IPWw9oD3cPig+fD7YPzQ/lD/sQDxAgEC0QNRA4EDYQMBAlEBgQCQ/5D+oP3A/RD8kPxQ/FD8gP0A/aD+UP8g//EAwQFhAeECMQJRAjEDwQOhA3EDMQLhArECgQJxAnECgQKhAuEDMQNxA7ED8QQRBBEEAQPRA4EDEQKRAgEBYQDBACD/kP8A/oD+AP2A/RD8kPwQ+3D60PoQ+UD4YPdw9nD1cPSA84DykPGg8LDv0O7g7fDs4Ouw6mDo0OcQ5SDi8OCQ3fDbMNhg1XDSgM+gzODKMMfAxXDDUMFwv8C+QLzgu7C6oLmwuMC38LcwtnC1sLUAtFCzoLLwsjCxgLDAr/CvEK4wrUCsQKswqiCo8KewpnClIKPQonChAJ+AngCcgJrwmVCXoJXwlECSgJDAjwCNQIuAidCIIIaAhOCDUIHAgEB+wH1Ae8B6QHjQd1B14HSAcxBxwHBwbzBuAGzQa8BqsGmwaLBnsGawZaBkoGOQYnBhUGAgXvBd0FygW4BaYFlQWEBXQFZAVUBUQFNAUjBRIFAATtBNoExgSzBJ8EjAR6BGgEVwRHBDkEKgQdBBAEAwP2A+gD2QPKA7oDqQOYA4YDdANiA1ADPwMvAx8DEAMCAvUC6QLdAtICxgK6Aq4CoQKUAocCeQJrAl0CTwJCAjUCKAIdAhECBwH9AfMB6gHhAdcBzgHEAbkBrgGjAZcBigF9AW8BYgFUAUcBOQEsASABEwEHAPwA8QDmANwA0gDIAL4AtACrAKIAmQCRAIoAhQCAAHwAegB5AHkAegB8AH4AgQCEAIUAhgCEAIEAfAB0AGkAWwBLADgAJAAN//X/3P/C/6j/j/93/2D/S/84/yf/F/8L/wD++P7y/u3+6f7n/uX+5P7i/uH+4P7d/tv+1/7T/s7+yf7E/r7+uP6z/q7+qf6l/qL+oP6e/p3+nP6b/pv+mv6Y/pb+k/6P/or+g/57/nL+aP5d/lH+Rf45/iz+IP4V/gv+Af34/fH96v3l/eH93v3b/dn92P3X/df91/3X/df91/3X/df91/3W/dX91P3S/dD9zv3L/cj9xf3C/b79u/23/bP9r/2r/ab9ov2d/Zn9lP2P/Yr9hf2A/Xz9d/1z/W/9bP1p/Wb9Y/1g/V39Wv1W/VH9Tf1I/UL9Pf05/TX9M/0y/TT9Of0//Un9Vf1k/XX9h/2a/a79wf3U/eX99P4B/g3+F/4f/if+Lf40/jr+Qf5J/lH+Wv5i/mv+dP58/oL+iP6L/o7+j/6P/o/+j/6Q/pP+mP6f/qn+tv7F/tf+6f78/w7/H/8t/zj/QP9F/0X/Qv89/zX/Lf8k/x3/GP8V/xb/Gv8i/y3/PP9N/1//cv+G/5j/qv+6/8j/1f/f/+j/7//2//sAAAAEAAgACgAMAA0ADQALAAcAA//8//X/7f/l/93/1v/Q/83/y//M/8//1f/c/+X/7//6AAQADgAWAB4AJAAqAC4AMgA2ADoAPwBGAE0AVwBhAG0AeQCGAJIAngCnAK8AtQC3ALcAswCtAKQAmQCMAH4AcABgAFIARAA3ACsAIQAZABMAEAAPABAAEwAYACAAKQAzAD8ATABYAGQAcAB6AIIAiACMAI4AjgCLAIgAgwB9AHgAdABxAG8AcAByAHcAfgCHAJEAmwCmALEAugDDAMkAzgDRANIA0QDPAMwAyQDFAMEAvQC7ALkAuAC4ALkAuwC+AMEAxQDKAM8A1ADZAN4A5ADoAO0A8ADzAPUA9gD2APYA9ADyAPAA7gDtAO0A7QDwAPQA+QEBAQkBEwEdAScBMAE4AT8BRAFHAUgBSAFGAUQBQQE/AT0BPQE+AUEBRgFLAVEBVwFcAWEBZAFlAWUBYgFeAVkBUwFOAUkBRgFFAUcBSwFSAVoBZQFvAXoBhAGMAZEBkwGTAY8BiQGAAXUBagFeAVMBSQFAATgBMgEuASoBJwEkASEBHQEYARIBCwEDAPsA8wDrAOQA3gDaANcA1gDXANgA2wDdAOAA4wDlAOYA5gDlAOQA4gDfAN0A2wDYANcA1QDTANIA0ADOAMsAxwDBALsAswCrAKEAlwCMAIEAdgBsAGIAWQBRAEkAQwA+ADoANwA2ADcAOgA+AEQATABXAGMAcAB+AI0AnACqALgAxADPANcA3gDkAOgA6wDsAO4A7wDxAPMA9QD4APoA/AD8APwA+gD1AO8A5gDaAM0AvgCuAJ0AjQB9AG4AXwBTAEcAPQAzACkAIAAWAA0AAv/3/+v/4P/U/8n/v/+3/7D/qv+m/6P/of+e/5z/mf+U/43/g/94/2r/Wv9K/zn/KP8Z/wv/Af75/vX+8/71/vn+//8F/wv/EP8T/xT/Ev8M/wT++P7r/tz+zf69/q7+oP6T/on+f/54/nH+a/5l/l/+WP5P/kX+Ov4u/iD+Ev4E/ff96/3g/df9z/3K/cX9wv2//bz9uf21/bD9qf2g/Zb9i/1//XL9Zv1a/U/9Rf09/Tf9M/0x/TH9Mv00/Tj9PP1A/UX9S/1Q/Vb9XP1j/Wr9cv16/YL9iv2T/Zz9pf2u/bj9wv3N/dn95/32/gf+Gv4u/kX+Xf52/o/+p/6+/tL+4/7w/vj++/76/vP+6P7a/sj+tP6f/on+dP5f/kz+PP4t/iD+Fv4N/gb9//36/fb98v3u/ev96f3m/eT94/3h/eH93/3e/d392v3X/dL9zP3E/br9r/2j/ZX9h/15/Wr9XP1P/UL9N/0s/SP9G/0U/Q79CP0D/P/8+vz2/PL87vzr/Oj85fzj/OH84Pzg/OD84vzm/Or88Pz3/QD9Cv0W/SL9L/08/Un9Vf1g/Wr9cf13/Xr9ev15/XX9b/1p/WL9XP1W/VH9Tv1N/U39UP1V/Vv9Yv1q/XP9fP2F/Y79mP2i/a39uv3I/dj96/4A/hj+Mv5N/mr+hv6i/rz+1P7o/vj/BP8M/xD/EP8N/wn/A/79/vj+9f70/vb+/P8E/xD/Hv8u/0H/Vv9s/4P/m/+1/9H/7wAOADEAVgB9AKgA1QEDATIBYgGQAbwB5QIKAioCRAJaAmsCdgJ/AoQChwKKAo0CkgKaAqQCsgLEAtgC7wMIAyEDOgNTA2kDfAOMA5kDogOoA6sDrAOqA6gDpgOjA6IDogOjA6YDqwOwA7cDvgPGA84D1gPfA+cD8AP6BAQEEAQeBC4EQQRWBG4EiQSnBMcE6gUOBTQFWwWCBasF0wX7BiIGSgZxBpcGvQbjBwgHLQdSB3UHmAe6B9sH+wgZCDYIUghrCIQImgivCMII1AjlCPQJAgkOCRkJIwksCTQJPAlCCUgJTglUCVsJYglqCXMJfgmKCZcJpgm3CckJ3AnwCgUKGgowCkUKWwpwCoUKmwqwCsQK2QruCwILFwsrC0ALUwtnC3kLiwucC6sLugvHC9IL3AvkC+sL8Av1C/gL+gv8C/0L/wwCDAUMCgwQDBkMIwwwDD4MTwxiDHYMjAyhDLgMzgzjDPgNDA0eDS8NPg1NDVsNaQ12DYQNkg2gDbANwA3RDeMN9Q4IDhsOLw5DDlcOaw5/DpQOqQ6+DtQO6g8BDxgPLw9GD14PdQ+LD6EPtw/LD94P8RADEBQQJRA2EEYQVhBlEHUQgxCREJ0QqBCxELkQvhDCEMQQxBDDEMEQvhC6ELcQshCuEKgQoRCXEIoQeRBiEEQQIA/zD78Pgw8/DvUOpg5TDgANrg1fDRUM1AybDG4MSww1DCsMKww1DEgMYQx+DJwMuwzYDPENBQ0TDRoNHA0XDQ4NAAzxDOEM0gzHDMAMvgzEDNEM5g0DDScNUg2DDbgN7w4oDmAOlw7KDvkPJA9ID2cPgQ+VD6UPsQ+6D8EPyA/PD9YP3w/qD/gQBxAYECoQPRBPEGAQbxB7EIQQiBCJEIUQfhBzEGYQVxBGEDYQJxAZEA4QBhABD/8QARAFEAsQExAcECUQLBAzEDgQPBA9EGMQYhBgEFwQWRBVEFIQTxBOEE4QTxBREFQQWBBbEF4QXxBfEF4QWhBVEE4QRRA8EDIQKBAeEBUQDBAED/wP9A/sD+MP2g/OD8EPsQ+gD40Peg9mD1IPPw8tDx4PEQ8GDv0O9g7vDugO3w7TDsQOsA6XDnkOVA4rDfwNyg2WDWANKgz2DMUMlgxtDEcMJwwLC/ML3wvOC78LsgumC5oLjguDC3YLaQtcC04LQAsyCyQLFgsHCvgK6QraCsoKuQqnCpUKgQptClcKQQopChEJ+AneCcQJqQmNCXEJVQk4CRwI/wjjCMgIrAiSCHgIXwhHCDAIGggEB+4H2QfEB64HmQeEB28HWgdFBzAHHAcHBvQG4AbNBrsGqAaVBoMGcAZcBkgGNAYgBgsF9gXhBcwFuAWkBZEFfwVtBVwFSwU7BSsFGgUJBPgE5QTTBMAErQSZBIYEcwRhBE8EPwQvBCAEEgQEA/cD6gPcA84DvwOvA58DjQN8A2oDWANHAzUDJQMVAwcC+QLrAt8C0gLGArkCrAKeApACggJzAmMCVAJFAjYCKAIbAg8CBAH6AfIB6gHkAd0B2AHSAcsBxAG9AbQBqgGfAZIBhQF2AWcBVwFHATcBJgEXAQcA+ADrAN0A0QDFALoAsACmAJwAkwCLAIMAewB1AG8AagBnAGUAZQBmAGkAbQByAHgAfgCDAIgAiwCMAIsAhwB/AHUAaABXAEQALgAV//v/4P/E/6j/i/9v/1T/Ov8i/wv+9f7i/tD+wP6x/qX+mf6P/of+f/54/nH+av5j/l3+Vv5P/kf+QP44/jH+K/4l/iH+Hv4c/h3+IP4k/ir+Mv47/kT+Tv5X/mD+Z/5t/nD+cf5w/mz+Zf5d/lP+R/47/i7+Iv4W/gr+AP33/fD96f3k/d/93P3Z/db90/3Q/c79y/3I/cb9w/3B/b/9vf27/bn9t/21/bP9sP2s/aj9o/2e/Zj9kf2K/YP9fP11/W/9aP1j/V79Wf1V/VH9Tv1L/Uj9Rf1C/T/9PP04/TX9Mf0s/Sj9I/0e/Rn9E/0O/Qn9BP0A/P78/fz+/QH9B/0P/Rr9J/02/Ub9WP1r/X39j/2f/a79u/3G/c/91/3d/eL95/3s/fL9+v4C/gz+F/4i/i/+O/5G/lD+Wf5f/mP+Zf5l/mT+Yv5g/l/+YP5j/mr+dP6A/pD+o/63/sz+4f71/wb/FP8f/yb/Kf8o/yT/Hv8W/w7/Bv8A/vz++/7+/wT/Df8Z/yj/OP9J/1v/bP98/4v/mf+l/6//uP/A/8j/zv/V/9r/4P/l/+r/7f/w//L/8v/x/+//7P/p/+b/4//h/+D/4f/k/+n/8P/5AAMADgAZACMALQA1ADsAPwBAAEAAPwA8ADgANQAyADEAMQAzADcAPQBFAE0AVwBfAGcAbgByAHQAcwBvAGcAXgBSAEUANwApABwAEQAHAAD//P/6//wAAQAIABIAHQApADYAQwBQAFsAZQBtAHMAdwB6AHoAeQB3AHMAbwBqAGYAYgBeAFsAWgBaAFsAXgBiAGcAbQB0AHwAhACNAJUAnQClAKwAsgC4ALwAwADDAMUAxgDHAMcAxwDHAMYAxQDDAMIAwQDAAMAAwADBAMIAxQDIAMwA0QDWANsA4ADkAOgA6gDsAOwA6wDpAOYA5ADhAN8A3wDgAOMA6QDwAPoBBQERAR0BKQE1AT4BRgFLAU4BTgFNAUoBRgFBAT0BOgE4ATgBOQE8AUABRAFIAUsBTQFNAUwBSAFEAT4BNwExASwBKAEnASkBLgE1AT8BSwFXAWQBcQF7AYMBiAGKAYgBhAF9AXQBagFfAVUBSwFDAT0BOAE1ATIBMQEvAS0BKQElAR8BGAEPAQYA/ADxAOgA3gDWAM8AygDFAMIAwAC+AL4AvQC9AL0AvQC+AL8AwQDEAMcAywDPANMA1wDaANwA3QDbANcA0ADIALwArwCgAJAAgABwAGAAUQBEADgALgAmAB8AGQAUABEADwANAA0ADgARABUAGwAiACwAOABEAFIAYQBwAH8AjQCbAKcAsQC7AMMAyQDPANQA2ADcAN8A4gDkAOQA4gDeANgAzwDCALIAoACLAHQAXABEACwAFgAC//H/4v/X/8//yf/G/8T/w//D/8P/w//C/8D/vv+8/7r/t/+2/7T/s/+z/7L/sf+v/6v/pf+d/5P/hv92/2X/Uv8+/yv/GP8I/vr+8P7o/uX+5f7n/uz+8/76/wD/Bf8I/wn/B/8B/vn+7v7h/tP+xP62/qj+m/6P/oX+fP50/m3+Z/5g/ln+UP5H/jz+MP4j/hX+B/35/ez94P3W/c39xv3A/bz9uP21/bL9rv2p/aP9m/2S/Yj9fP1v/WP9Vv1K/T/9Nv0t/Sf9Iv0f/R39Hf0d/R/9Iv0l/Sr9L/02/T79R/1S/V39av13/YX9kv2g/a39uv3F/dD92v3k/e79+f4E/hD+Hv4u/j/+UP5j/nX+h/6W/qP+rP6y/rL+rv6l/pj+iP50/l/+SP4y/h3+Cv36/ez94P3Y/dL9zv3M/cr9yf3I/cb9xP3C/b/9u/24/bT9sP2t/ar9p/2k/aD9nf2Y/ZL9i/2C/Xj9bf1g/VL9RP02/Sf9Gf0L/P788vzm/Nz80vzK/ML8uvyz/K38qPyj/KD8nfyb/Jv8m/yc/J/8ofyl/Kj8rPyw/LT8ufy9/MP8yfzP/Nf83/zp/PP8/v0J/RT9Hv0n/S/9Nf05/Tv9O/05/Tf9NP0x/S79LP0s/S79Mv04/UD9Sv1V/WH9b/18/Yr9mP2n/bX9xf3V/eb9+f4N/iP+Ov5S/mv+hP6c/rP+yf7c/uz++f8C/wn/Df8P/xD/EP8P/xD/Ev8W/xv/JP8u/zv/Sv9b/2z/f/+T/6j/vf/U/+0ABwAjAEEAYgCGAKsA0gD7ASQBTAFzAZcBuAHUAewB/wINAhcCHQIgAiECIQIjAiYCLQI3AkYCWQJwAowCqwLMAu4DEAMxA1ADbAOFA5oDqwO4A8MDygPQA9UD2QPeA+MD6gPyA/wEBwQSBB4EKgQ1BD8ESARPBFUEWQRdBGEEZQRqBHEEewSIBJkErgTHBOQFBQUqBVIFfAWnBdQGAAYtBlkGgwatBtUG+wcgB0MHZQeGB6YHxAfiB/4IGAgyCEoIYAh0CIcImAinCLQIwAjKCNMI2wjiCOgI7gjzCPgI/AkBCQcJDQkTCRsJIwktCTcJRAlRCWAJcQmCCZUJqAm8CdEJ5gn8ChEKKAo+ClQKawqCCpkKsArHCt4K9QsLCyELNgtKC14LcAuCC5MLoguxC74LygvVC+AL6QvxC/gL/wwEDAkMDgwSDBcMHAwiDCkMMQw7DEcMVQxlDHYMiAycDLAMxQzaDO4NAQ0UDSYNOA1JDVkNag17DY0NoA2zDcgN3g30DgsOIw46DlEOaA5+DpQOqQ68DtAO4w71DwgPGw8uD0EPVQ9oD3wPkA+kD7cPyg/cD+4QABARECIQNBBGEFgQaxB/EJMQpxC8ENAQ4xD1EQURFBEgESsRNBE6EUARQxFGEUgRSBFHEUQRPxE4ESwRGhEDEOUQvxCREFoQGg/TD4UPMg7aDoIOKg3WDYYNPw0BDM4MpgyKDHsMdwx8DIsMnwy5DNQM8Q0LDSMNNg1FDU4NUg1SDU4NSA1BDTsNNg01DTkNQg1QDWYNgQ2iDckN9A4iDlMOhA62DuYPFQ9BD2kPjg+wD80P6A//EBMQJRA1EEMQURBeEGoQdRCBEIwQlhCgEKkQsRC4EL0QwBDAEL4QuhCzEKoQnxCSEIMQdBBlEFYQSBA8EDIQKhAlECMQJBAnECwQMxA8EEQQTBBUEFoQXxBiEKcQphCiEJwQlBCLEIIQeRBxEGsQZhBkEGQQZRBoEGsQbhBxEHIQchBwEG0QZxBgEFgQTxBGED0QNBAsECQQHBATEAoP/w/yD+IP0A+8D6UPjQ90D1wPRQ8wDx4PEA8HDwAO/g7+Dv4O/w7+DvkO7w7gDskOqg6EDlgOJQ3uDbQNeQ0/DQcM0wyjDHgMVAw0DBoMBQvzC+QL1wvLC78LsgulC5cLhwt3C2YLVQtECzILIQsQCv4K7QrbCskKtwqjCo8KeQpjCkwKNAobCgEJ6AnNCbMJmAl9CWIJRwksCREI9gjbCMEIpgiMCHIIWghBCCoIEwf+B+kH1AfAB60HmgeGB3MHYAdNBzoHJwcTBwAG7AbZBsUGsgaeBooGdgZhBkwGNwYhBgsF9AXeBccFsQWbBYUFcAVcBUcFMwUfBQwE+ATlBNIEvgSrBJgEhQRyBGAETwQ/BC8EIAQSBAUD+APrA94D0APCA7QDpQOVA4UDdANjA1MDQgMyAyIDFAMFAvcC6gLcAs4CwAKyAqICkwKCAnECXwJOAj0CLAIdAg8CAgH3Ae4B5gHgAdsB1gHSAc8BywHGAcABuQGxAacBmwGOAYABcAFfAU4BPAEqARkBBwD3AOgA2wDOAMQAugCyAKsApQCgAJsAlgCRAI0AiQCEAIAAfAB5AHYAdQB0AHUAdgB4AHoAfQB+AH8AfwB8AHcAcABmAFgASQA2ACEAC//y/9n/v/+k/4n/b/9V/zz/I/8L/vT+3f7I/rP+n/6N/nv+av5a/kv+Pf4v/iL+Fv4L/f/99P3p/d791P3K/cH9uP2x/av9p/2l/ab9qP2u/bX9v/3L/dj95/32/gT+Ev4e/ij+MP41/jf+Nv4y/iz+JP4a/hD+BP35/e794/3a/dH9yv3E/b79uf20/bD9rP2o/aT9oP2d/Zn9lv2U/ZL9kf2Q/ZD9j/2O/Y79jP2K/Yf9g/1+/Xj9cv1r/WX9Xv1Y/VL9TP1H/UP9P/07/Tb9Mv0t/Sf9If0a/RP9C/0D/Pv89Pzt/Of84vze/Nv82fzY/Nj82fza/N384fzm/Oz89Pz9/Qf9E/0g/S79PP1K/Vn9Zv1z/X79iP2R/Zf9nf2i/ab9q/2w/bb9vv3H/dP93/3u/f3+DP4c/ir+Nv5B/kn+T/5S/lP+U/5R/lD+UP5S/lb+XP5n/nT+hf6Y/q3+w/7Z/u//Af8S/x7/J/8r/yz/Kf8j/xv/Ev8I/wD++f71/vP+9f76/wL/DP8Y/yb/Nf9D/1L/X/9s/3f/gf+K/5L/mv+h/6f/rv+0/7v/wf/G/8v/z//T/9X/1//Y/9j/2P/Y/9j/2v/c/+D/5v/t//X//gAHABEAGgAhACgALAAvAC8ALQAqACYAIQAcABgAFAATABMAFQAZAB4AJQAsADMAOQA9AEAAQAA9ADcALwAlABoADgAD//n/8f/r/+n/6//w//kABQAUACQANABFAFQAYQBsAHQAeAB6AHgAdABuAGcAXgBXAE8ASQBEAEEAQABAAEIARQBIAE0AUQBWAFoAXgBjAGcAawBvAHQAeQB+AIQAiwCSAJkAoQCoAK8AtQC7AL8AwwDFAMYAxQDEAMEAvgC7ALgAtQCyALEAsQCyALQAtwC7AMAAxgDMANEA1gDaANwA3gDeAN0A3ADaANgA2ADYANoA3gDkAOwA9gEBAQ4BGwEoATUBPwFIAU8BUwFVAVQBUgFOAUoBRQFBAT4BOwE5ATkBOQE5AToBOgE5ATcBNAEwASsBJgEhAR0BGwEaARsBHgEkASwBNQE/AUkBUwFbAWIBZwFpAWgBZgFiAVwBVwFRAUwBRwFEAUIBQQFBAUIBQgFBAT8BOwE1AS0BIwEXAQkA+wDsAN0AzgDAALQAqACfAJYAjwCJAIQAgQCAAH8AgQCEAIkAjwCXAKEAqwC2AMAAygDRANYA1wDVANAAxgC5AKgAlgCBAG0AWABEADIAIwAWAAwABP/+//v/+P/3//b/9v/2//b/9//4//r//gAEAAsAFAAfACwAOgBKAFkAaAB4AIYAkwCeAKkAsgC6AMEAxwDMANAA0wDUANMAzwDIAL0ArwCdAIcAbQBRADQAFv/4/9z/wv+s/5r/jf+E/3//fv+B/4b/jf+V/53/pf+s/7L/t/+6/7z/vv++/73/vP+5/7X/sP+p/6D/lf+I/3j/Z/9V/0H/Lv8a/wn++f7r/uH+2v7W/tX+1/7b/uD+5v7s/vD+8/71/vP+8P7q/uL+2P7N/sL+tv6q/p/+lP6L/oL+e/50/m3+Zv5f/lf+Tv5E/jn+Lf4g/hP+Bf33/er93/3T/cr9wf26/bP9rf2n/aL9m/2V/Y39hP16/XD9Zf1Z/U79Q/04/S79Jv0e/Rf9Ev0O/Qv9Cf0H/Qf9Cf0L/Q/9Ff0d/Sf9M/1B/VH9Yv10/Yb9mf2q/br9yf3V/eD96f3x/fj9/v4E/gr+Ev4a/iT+Lv45/kP+TP5U/ln+W/5a/lT+Sv49/iz+Gf4E/fD92/3I/bj9q/2h/Zr9lv2V/Zb9mP2b/Z79n/2g/Z79m/2X/ZH9iv2D/Xz9df1v/Wr9Zf1h/V79Wv1X/VP9Tv1I/UH9Of0v/SX9G/0P/QT8+fzu/OP82PzN/ML8t/ys/KL8l/yM/IL8ePxw/Gn8ZPxh/GD8YPxj/Gf8bPxy/Hf8ffyC/Ib8ivyM/I78j/yQ/JL8lPyX/Jz8o/yr/LT8vvzJ/NP83vzo/PH8+f0A/Qb9C/0P/RT9GP0e/ST9LP01/UD9S/1Y/Wb9dP2C/ZD9nv2s/bn9xv3U/eL98P3//g/+IP4y/kX+WP5s/n/+kv6j/rP+wv7P/tv+5f7t/vX+/f8E/wz/FP8d/yj/M/8//0z/Wv9o/3f/hf+U/6L/sf/A/9D/4f/0AAgAHgA1AE4AaACEAJ8AuQDTAOsBAAESASIBLgE4AT8BRAFJAU0BUwFbAWYBdAGHAZ4BugHaAf0CIwJLAnQCnALEAuoDDQMuA0sDZAN7A44DoAOwA78DzQPbA+sD+wQLBB0EMARDBFYEZwR4BIcElASeBKYErASvBLEEswS1BLcEvATEBM8E3gTyBQoFJwVIBW0FlQW/BeoGFQZABmoGkga5Bt0G/gcdBzoHVgdvB4cHnge0B8kH3QfwCAEIEgghCC8IPAhHCFEIWQhhCGcIbQhzCHgIfgiECIoIkQiZCKIIrAi3CMIIzwjdCO0I/QkPCSIJNQlKCV8JdgmMCaQJvAnUCe0KBQofCjgKUgpsCoUKnwq5CtIK6wsDCxoLMQtGC1sLbguBC5MLpAu0C8QL0wviC/EL/gwLDBcMIgwsDDUMPAxCDEgMTQxRDFYMXAxiDGoMdAx/DI0MnAysDL0M0AzjDPYNCQ0cDS8NQQ1TDWYNeQ2MDaANtg3MDeQN/Q4XDjEOTA5mDoAOmQ6xDscO3A7wDwMPFA8lDzYPRg9XD2gPeQ+KD5wPrQ+/D9EP4g/zEAQQFRAnEDgQSxBeEHIQiBCfELcQ0BDqEQQRHhE3EU8RZRF5EYsRmxGoEbMRvBHCEcURxhHFEcARtxGqEZgRgRFjET8RExDgEKYQZBAdD9APgA8uDtwOjA5ADfoNug2EDVcNNA0bDQwNBg0IDRANHQ0uDUENVA1mDXYNhA2PDZgNng2iDaYNqQ2vDbYNwA3NDd8N9Q4PDi0OTg5yDpcOvQ7kDwkPLQ9QD3EPkA+tD8gP4g/7EBQQLRBFEF4QdhCOEKUQvBDREOQQ9BEBEQwRExEWERYRExENEQQQ+RDtEN8QzxDAELAQoBCQEIAQcRBkEFcQTBBEED0QORA4EDoQPhBFEE8QWxBnEHQQgRCNEJcQnxCkEOMQ5BDhENoQ0BDEELYQqBCbEI8QhhB/EHwQfBB+EIIQhxCMEJEQlRCWEJYQkhCNEIYQfRBzEGkQXxBWEEwQRBA7EDEQJhAaEAsP+Q/kD80Psw+YD30PYw9LDzcPJw8dDxgPGA8dDyUPLg83Dz0PPw87Dy4PGQ77DtQOpQ5uDjMN9Q21DXYNOg0DDNAMowx9DFwMQQwqDBYMBQv0C+UL1QvEC7ILnwuLC3cLYgtNCzgLJAsQCvwK6QrWCsIKrgqaCoQKbgpXCj8KJwoOCfUJ3AnDCaoJkQl5CWAJSAkvCRcI/QjjCMkIrwiTCHgIXghDCCkIEAf4B+EHywe2B6IHjwd8B2sHWQdIBzYHJAcSBwAG7gbbBsgGtQahBo0GeQZkBk8GOgYkBg4F9wXhBckFsgWaBYIFagVSBToFIgUKBPME2wTFBK4EmQSEBHAEXQRMBDsELAQdBBAEAwP2A+oD3gPSA8UDtwOpA5oDigN6A2oDWQNJAzkDKgMbAw0DAALyAuUC2ALKArsCrAKcAooCeAJmAlMCQAIuAh0CDgIAAfQB6gHiAdsB1gHSAc4BywHHAcIBvAG1AawBogGVAYgBeQFpAVgBRwE1ASMBEgECAPIA5ADYAM0AxAC9ALgAtQCzALMAswC0ALUAtQC1ALMAsQCsAKcAoACZAJEAiQCAAHgAcQBpAGMAXABVAE0ARQA8ADAAIwAVAAT/8v/e/8j/sv+b/4T/bv9Y/0L/Lf8a/wf+9f7j/tL+wv6x/qH+kf6A/nH+Yf5R/kH+Mv4j/hX+Bv34/ev93f3Q/cP9t/2r/Z/9lP2K/YD9ef1y/W79a/1r/W39cf14/YD9i/2W/aP9sP28/cj90/3b/eH95f3m/eX94P3a/dL9yP2+/bP9p/2c/ZL9iP1//Xf9cP1p/WT9Xv1a/Vb9U/1R/VD9T/1P/VD9Uf1T/Vb9WP1a/Vv9XP1c/Vv9Wf1X/VT9Uf1O/Uv9SP1H/UX9RP1E/UP9Qv1A/T39Of0y/Sv9If0X/Qv8//zz/Of83fzU/M38yPzF/MT8xfzI/Mz80fzW/Nv84fzn/O388vz5/P/9B/0O/Rf9IP0q/TX9P/1K/VT9Xf1m/W79df18/YP9if2Q/Zj9oP2q/bb9w/3R/eH98f4B/hL+If4w/j3+R/5Q/lj+Xf5h/mT+Zv5p/m3+c/56/oT+kP6e/q7+v/7R/uP+9P8E/xH/G/8i/yX/Jf8i/xz/FP8K/wH++P7w/ur+5/7n/ur+7/74/wL/Dv8a/yf/NP8//0r/U/9b/2H/Z/9s/3D/df96/3//hf+L/5L/mf+g/6f/rf+z/7f/u/+9/7//wf/C/8T/xv/J/83/0v/X/97/5f/t//T/+gAAAAQACAAJAAkACQAHAAUAAwABAAAAAAABAAQABwAKAA4AEgAVABYAFgATAA8ACQAB//n/8P/n/+H/3P/a/9z/4f/q//YABQAXACkAOwBMAFwAaABwAHUAdgB0AG4AZgBcAFIASAA/ADgAMwAxADEAMwA3ADwAQgBIAE4AUwBXAFoAXABeAF8AYABhAGQAZwBsAHIAeQCBAIoAlACeAKcAsAC4AL4AxADIAMsAzQDOAM4AzQDLAMoAyADGAMUAwwDDAMIAwwDEAMUAxwDKAM0A0ADTANUA1wDZANoA2gDaANkA2ADYANgA2gDdAOIA6ADxAPsBBgESAR4BKgE1AT8BRgFMAU8BTwFOAUsBRgFAATsBNQEwASsBJwEkASIBIQEgAR8BHgEcARsBGQEXARUBFAETARMBFAEXARoBHQEiASYBKwEvATIBNAE2ATYBNgE1ATUBNAE1ATUBNwE5ATwBPwFCAUQBRQFEAUEBOwE0ASkBHQEPAQAA7wDfAM4AvgCvAKEAlACIAH4AdQBtAGYAYgBfAF4AXwBjAGkAcQB8AIcAlACgAKsAtQC8AL8AvgC4AK4AnwCNAHcAYABIADAAGgAG//b/6v/h/93/2//d/+D/5f/q/+//8//3//r//P/+AAEABAAIAA4AFQAfACkANgBDAFEAXwBtAHkAhQCPAJgAoACmAKwAsQC1ALgAuQC5ALcAsgCrAJ8AkAB9AGYASwAvABH/8v/V/7n/oP+M/3v/cP9q/2j/av9w/3n/g/+O/5j/ov+r/7H/tv+5/7r/uf+2/7L/q/+j/5n/jf+A/3H/Yf9P/z3/K/8Z/wn++f7r/uD+1/7R/s7+zP7N/s/+0v7W/tn+3P7e/t7+3f7a/tb+0f7L/sT+vP60/q3+pf6e/pf+kP6J/oP+fP51/m7+Zv5d/lT+Sv4//jP+J/4a/g39//3y/eX92f3N/cL9t/2t/aT9m/2S/Yr9gf14/W/9Zf1b/VH9R/09/TP9Kf0g/Rf9D/0I/QL8/Pz3/PP88Pzu/O387fzw/PX8/P0F/RH9IP0x/UT9WP1t/YP9mP2s/b79z/3d/ej98f34/f3+Af4E/gf+Cv4N/hH+Ff4Y/hv+HP4c/hn+E/4K/f797/3d/cr9tf2g/Yz9ef1q/V39VP1P/U39T/1S/Vf9Xf1i/Wb9aP1p/Wb9Yv1b/VL9SP0+/TT9K/0i/Rv9Fv0S/Q/9Df0M/Qv9Cv0J/Qf9Bf0C/P/8+/z4/PT87/zq/OX83/zY/M/8xfy6/K38n/yP/ID8cPxi/FT8SfxA/Dr8N/w3/Dn8PfxD/Er8UfxX/Fz8YPxi/GP8Yvxg/F78XPxa/Fr8W/xe/GP8avxy/H38iPyV/KH8rvy7/Mf80vze/Oj88/z+/Qn9Ff0h/S39Ov1I/VX9Y/1x/X79iv2W/aH9q/21/b/9yP3R/dv95f3w/fv+CP4U/iL+MP4//k3+XP5r/nv+iv6Z/qn+uf7J/tn+6v76/wv/G/8r/zv/Sf9W/2L/bf92/37/hv+N/5P/mv+h/6n/sv+8/8f/0//h/+7//QALABkAJwA0AEAATABYAGMAbgB6AIcAlgCmALkAzwDnAQIBHwE/AWEBhAGpAc8B9QIbAkECZgKLAq4C0QLyAxIDMgNQA24DiwOnA8QD3wP7BBcEMgRNBGcEgASYBK4EwgTUBOME8AT7BQMFCgUQBRUFGgUgBScFMQU+BU4FYgV5BZMFsAXOBe4GDgYvBk4GawaHBqEGuAbNBuAG8gcCBxIHIQcvBz4HTAdbB2kHdweFB5MHnwesB7cHwgfMB9YH3wfpB/IH/AgHCBIIHQgpCDYIQwhRCGAIcAiBCJQIpwi8CNII6gkDCR4JOQlWCXQJkgmxCdAJ7woOCi0KSwpqCocKpQrBCt0K9wsRCykLQAtWC2wLfwuTC6ULuAvJC9sL7Av9DA4MHgwuDD0MSgxWDGEMagxxDHcMewx/DIIMhgyLDJEMmAyhDKwMugzJDNoM7Az+DRINJg05DU0NYQ10DYcNmw2vDcUN2w3yDgoOIw49DlcOcg6MDqUOvQ7VDuoO/w8SDyQPNQ9GD1YPZg93D4gPmQ+qD7wPzw/hD/MQBRAWECcQORBLEF0QbxCDEJgQrhDGEN8Q+hEWETIRTxFsEYgRoxG8EdMR6BH7EgoSFRIdEiISIRIdEhMSBBHvEdQRtBGNEWARLRD1ELkQeRA2D/EPrQ9qDyoO7g62DoUOWg42DhoOBA31DewN5w3nDeoN7w30DfoOAA4EDggOCw4NDg8OEg4WDhwOJQ4xDkEOVQ5tDokOqA7JDu0PEQ80D1cPeA+WD7EPyA/dD/AQABAPEB4QLRA9EE8QYxB5EJIQqxDGEOIQ/BEVESsRPhFMEVYRWhFaEVYRTBFAETERIBENEPoQ5xDVEMMQshCjEJQQhxB6EG8QZRBdEFcQUxBSEFQQWRBgEGsQeBCIEJgQqRC5EMgQ1BDdEPEQ9xD6EPgQ8hDpEN4Q0RDEELgQrRCmEKEQnxCgEKMQqBCuELMQtxC6ELkQthCwEKgQnRCREIQQdxBrEGAQVhBNEEQQOxAxECUQFxAGD/MP3A/DD6oPkQ95D2UPVQ9LD0cPSg9SD2APcA+CD5IPnw+mD6QPmg+ED2QPOg8GDssOig5FDf8Nuw15DTwNBQzUDKoMhQxmDEsMMwwdDAkL9AvgC8sLtQueC4cLcAtZC0MLLQsYCwMK7wrcCsgKtQqgCosKdQpfCkcKLwoWCf0J5AnMCbMJmwmECWwJVQk9CSUJDQjzCNgIvQigCIMIZghICCsIDwfzB9kHwAepB5QHgAdtB1wHSwc6ByoHGQcJBvcG5gbTBsAGrQaZBoQGbwZaBkUGLwYZBgMF7QXWBb8FqAWQBXcFXwVGBSwFEwT5BOAExgStBJUEfgRnBFIEPwQtBBwEDQP/A/ID5gPaA84DwwO2A6kDmwONA30DbQNdA0wDOwMqAxsDDAL9AvAC4gLWAskCvAKuAqACkAKAAm8CXQJLAjkCJwIXAggB+wHvAeYB3gHXAdIBzQHIAcMBvAG1AawBoQGVAYgBeQFpAVkBSQE4ASgBGQEKAPwA7wDkANkA0ADJAMMAvgC8ALsAuwC9AMAAwwDHAMkAywDKAMgAwwC8ALEApQCWAIUAcwBhAE4APAApABgAB//3/+f/1//H/7f/pv+V/4P/cP9c/0j/Nf8h/w/+/f7s/t3+z/7C/rb+rP6i/pn+kf6I/oD+d/5v/mX+XP5R/kf+PP4w/iX+Gf4N/gD99P3o/dz90P3E/bj9rf2h/Zb9jP2C/Xn9cP1o/WL9Xv1a/Vn9Wv1d/WH9Z/1u/Xb9fv2F/Yv9kP2U/ZX9k/2Q/Yr9gv15/W/9ZP1Y/U39Qv04/S79Jv0f/Rn9Ff0R/Q/9Dv0O/Q/9Ef0T/Rf9Gv0e/SL9Jv0p/Sv9Lf0u/S79Lf0t/Sz9LP0s/S79MP00/Tj9Pv1D/Un9Tf1Q/VH9UP1N/Uf9Pv00/Sj9G/0O/QL89/zt/OX84Pzd/Nz83Pze/OH84/zm/Oj86vzr/Oz87Pzs/O787/zy/Pf8/f0E/Q39GP0j/S79Ov1G/VL9Xf1o/XL9e/2E/Y79l/2h/az9t/3E/dH94P3v/f/+EP4g/jD+QP5P/lz+af5z/nz+hP6L/pD+lf6Z/p3+ov6n/q3+s/66/sL+yv7T/tv+4f7n/uv+7f7s/ur+5v7g/tr+0/7N/sj+xf7E/sb+yv7Q/tn+4/7v/vv/Bv8R/xv/I/8p/y7/Mf8z/zX/N/85/zz/Qf9I/1D/Wv9l/3D/fP+H/5L/m/+j/6j/rP+u/6//r/+u/63/rf+t/6//sv+3/73/xP/L/9P/2v/h/+f/7P/v//H/8f/x//D/7v/s/+r/6f/o/+f/5v/l/+T/4//h/97/2v/V/9H/zP/I/8b/xf/G/8r/0f/b/+j/9wAHABgAKQA4AEUAUABXAFwAXABaAFUATwBHAEAAOgA1ADIAMQAyADYAOwBBAEgATwBVAFoAXgBhAGIAYwBkAGQAZgBoAGsAcAB2AH0AhQCNAJYAnwCoALAAtwC9AMMAyADNANIA1gDbAOAA5QDqAO4A8gD1APYA9gD1APIA7gDpAOQA3wDaANUA0gDQAM8AzwDQANEA0gDUANUA1gDWANYA1QDWANYA2ADbAOAA5gDuAPgBAgENARcBIQEpAS8BMwE0ATQBMAErASUBHgEXARABCwEGAQMBAQEAAQABAgEDAQUBBgEIAQgBCQEJAQkBCAEIAQcBBwEHAQcBCAEIAQkBCgEMAQ0BDwERARQBFwEbAR8BIwEnASsBLgEwATIBMQEvASoBJAEcARMBCAD9APEA5gDaAM8AxQC8ALMAqwCkAJ0AlgCQAIsAhgCDAIEAgQCCAIYAjACTAJsAowCrALEAtQC2ALMAqwCfAI4AegBiAEgALgAU//z/6P/X/8z/xf/D/8b/zP/V/+H/7f/5AAQADgAVABsAHwAiACQAJwApAC0AMgA4AEAASQBTAF0AZgBwAHgAfwCFAIkAjACPAJEAkgCTAJMAkwCRAI4AiQCBAHYAaABXAEMALAAU//r/4f/I/7L/nv+P/4T/ff96/3v/gP+G/4//mP+h/6j/r/+0/7b/tv+0/6//qP+f/5T/iP96/2r/Wf9H/zX/I/8R/wD+8P7j/tj+0P7K/sj+x/7J/sz+0P7V/tj+2/7c/tz+2f7W/tD+yv7E/r3+tv6w/qv+pv6i/p7+m/6Y/pT+j/6J/oP+e/5y/mn+Xv5T/kf+O/4v/iP+Fv4K/f398f3k/dj9zP3A/bX9qf2e/ZT9iv2A/Xb9bf1j/Vr9UP1H/T39M/0p/R/9Ff0M/QP8+vzy/Ov85Pze/Nn81vzU/NP81PzY/N385fzw/P39DP0e/TH9Rv1c/XL9iP2d/bH9w/3U/eL97v35/gH+CP4O/hL+Fv4Y/hn+Gv4Y/hX+D/4H/f397/3f/cv9tv2f/Yb9bv1W/UD9LP0b/Q79BPz+/Pv8/Pz+/QL9Bv0K/Q39Dv0N/Qr9Bfz+/PX86/zh/Nb8zfzE/L38uPy1/LP8s/y0/Lf8uvy+/ML8xvzL/ND81fzZ/N784vzl/Ob85/zl/OH82vzQ/MP8tPyj/JD8fPxo/FT8Qvwz/Cb8HfwX/BT8FPwW/Bv8IPwm/Cv8L/wy/DP8Mvwx/C78Kvwn/CT8Ivwh/CL8Jvwr/DL8O/xF/FH8Xvxr/Hj8hfyT/KD8rPy5/Mb80/zg/O38+/0J/Rf9Jf00/UL9UP1d/Wn9df2A/Yr9k/2b/aL9qf2w/bb9vf3E/cz91P3e/en99v4E/hP+JP43/kv+Yf53/o7+pv6+/tX+6/8B/xT/Jv82/0T/T/9X/17/Yv9l/2f/aP9p/2r/a/9t/3H/dv98/4X/j/+a/6f/tv/G/9j/6///ABQAKgBBAFkAcQCJAKAAuADPAOYA/AERASYBOwFRAWgBgAGZAbYB1QH3AhsCQwJtApkCxgL0AyIDUAN8A6cD0AP2BBsEPgRfBH8EngS7BNgE8wUOBScFPgVUBWYFdwWFBZAFmQWhBacFrQWyBbkFwQXKBdUF4gXxBgEGEgYjBjQGRAZTBmAGawZ1Bn4GhQaMBpIGmQagBqkGsga8BsgG1AbhBu8G/gcNBxwHKwc6B0oHWgdqB3oHiwebB6wHvAfNB90H7Qf9CA4IHwgxCEUIWghxCIoIpQjDCOMJBQkpCU4JdAmbCcIJ6AoOCjMKVgp5CpkKuQrXCvMLDgsnC0ALVgtsC4ELlAunC7kLywvcC+0L/QwNDB0MLQw8DEoMVwxjDG0Mdgx+DIQMiQyODJIMlwydDKQMrAy3DMMM0gzjDPUNCA0cDTENRw1cDXENhg2aDa8NxA3ZDe4OBQ4bDjMOSw5jDnsOkw6qDsEO1g7rDv4PEA8hDzIPQg9TD2MPdQ+HD5oPrQ/BD9UP6g/+EBIQJRA4EEsQXBBuEIAQkhClELgQzRDkEPwRFREwEUwRaRGGEaMRvxHbEfUSDRIiEjQSQhJMElESUBJKEj0SKhIQEfARyhGeEW0RORECEMkQkBBXECEP7g/AD5YPcQ9SDzkPJA8UDwkPAQ77DvcO9A7xDu4O6g7lDt4O1w7PDscOvw64DrIOrw6uDrIOuQ7EDtQO6Q8BDx0PPA9dD38PoQ/DD+MQABAaEDEQRRBVEGIQbhB4EIIQjBCXEKQQshDDENYQ6hEAERYRKxE+EU8RXRFnEW0RbxFtEWgRXxFUEUcROhEsER8REhEGEPoQ7xDlENoQ0BDFELkQrRCiEJcQjBCEEH0QehB5EH0QhBCOEJsQqhC7EMsQ2hDnEOEQ7RD2EPwQ/hD9EPgQ8hDpEOAQ1xDPEMkQxBDCEMMQxRDIEMsQzRDOEM0QyRDCELgQrBCeEI8QgBBxEGMQVxBNEEQQPBA0ECwQIxAXEAkP+Q/mD9EPvA+oD5YPiA+AD30PgQ+LD5sPsA/HD94P8hABEAkQBw/7D+IPvg+OD1QPEg7LDoAONQ3rDaUNYw0oDPQMxgyeDHwMXgxDDCoMEwv8C+ULzQu2C54LhgtuC1cLQQssCxgLBArxCt4Kywq3CqIKjAp1Cl0KQwopCg4J8wnYCb4JpAmKCXEJWAk/CSYJDQj0CNkIvgiiCIUIZwhJCCsIDgfxB9YHvAejB4wHdwdkB1IHQAcwBx8HDwb/Bu0G2wbIBrUGoAaKBnQGXQZGBi4GFwX/BecF0AW5BaIFiwV0BV0FRgUuBRYE/gTmBM0EtASbBIIEagRSBDwEJwQTBAAD7wPgA9IDxQO5A64DogOWA4kDfANuA14DTgM+AywDGwMKAvoC6gLbAswCvwKxAqQClwKJAnsCbAJdAk0CPAIsAhsCDAH9AfAB5AHZAdAByAHAAbgBsAGoAZ4BkgGFAXcBaAFYAUcBNwEoARkBDAEBAPgA8ADqAOQA4ADcANgA1ADRAM0AygDHAMQAwgDAAL4AvQC8ALkAtgCxAKoAoACTAIQAcQBcAEUALAAT//j/3v/F/63/lf9//2r/Vv9E/zH/IP8P/v3+7f7c/sz+vP6u/qD+k/6I/n3+dP5s/mb+YP5b/lf+U/5Q/k3+Sv5G/kP+P/46/jX+MP4p/iL+Gv4S/gn+AP34/e/95v3e/db9zv3G/b79tf2s/aL9mP2O/YP9eP1t/WT9W/1U/U/9TP1K/Uv9TP1O/VH9VP1W/Vf9Vv1U/VH9TP1G/T79Nv0u/SX9Hf0W/Q/9Cv0F/QL9APz+/P78//0B/QP9Bv0K/Q39Ef0V/Rj9G/0d/R79H/0f/R79Hf0b/Rv9G/0c/R/9I/0o/S/9N/0//Uf9Tv1T/Vf9WP1X/VT9Tv1F/Tz9Mf0m/Rv9EP0H/QD8+fz0/PH87vzs/Or86Pzl/OL83/zc/Nj81fzT/NL80/zV/Nn83/zn/PD8+v0G/RH9Hf0p/TT9P/1J/VP9XP1l/W79d/2B/Yv9lv2h/a79vP3L/dv97P3//hH+Jf44/kz+Xv5v/n7+jP6W/p7+o/6m/qb+pP6g/pv+l/6T/o/+jf6M/oz+jv6Q/pP+lv6Y/pr+m/6a/pn+l/6V/pP+kv6S/pT+mP6f/qf+sf69/sn+1v7h/uv+9P77/wD/A/8E/wX/Bv8H/wn/Dv8U/x3/KP81/0T/Vf9l/3X/hP+R/5v/o/+n/6n/qP+l/6H/nP+Y/5T/kv+S/5P/l/+d/6X/rf+2/7//x//O/9P/1//Y/9f/1f/R/8z/xv/B/7v/tv+x/67/q/+o/6f/pf+l/6X/pf+n/6n/rf+z/7r/wv/M/9j/5f/y//8ADAAXACEAKQAvADIAMwAzADEALwAsACoAKQApACoALgAyADgAPwBGAEwAUgBXAFwAXwBhAGMAZQBnAGoAbgBzAHkAgQCJAJIAmgCiAKkArwCzALYAuAC5ALoAvAC+AMIAxwDPANcA4gDsAPcBAQEJAQ4BEQERAQ0BBgD9APIA5wDbANAAxwDAALsAuQC5ALsAvgDCAMYAyQDKAMsAygDIAMUAwwDBAMAAwQDEAMkA0ADYAOIA7AD2AP8BBgELAQ4BDgEMAQgBAwD9APcA8gDtAOoA6QDoAOoA7ADvAPIA9QD3APoA+wD8APwA/AD8APsA+wD7APwA/QD+AQABAgEEAQcBCQEMAQ4BEQETARUBFgEXARgBGAEWARQBEQENAQgBAwD9APYA8ADrAOYA4gDeANwA2gDZANcA1gDVANMA0QDOAMsAyADFAMIAwAC/AMAAwQDDAMYAyQDLAMsAyADDALoArQCdAIkAcgBaAEAAKAAR//z/7P/h/9v/2v/e/+f/8wACABIAIwAyAEAASwBUAFoAXgBfAF8AXwBeAF0AXgBfAGIAZQBpAG0AcQB0AHcAeQB6AHoAeQB3AHUAcgBwAG0AagBmAGEAWgBSAEcAOgArABoAB//z/9//zP+6/6v/n/+W/5H/j/+R/5b/nP+j/6v/sv+3/7v/vP+7/7j/sv+p/5//kv+E/3T/Y/9R/z3/Kv8W/wP+8f7g/tL+x/6+/rn+uP66/r7+xf7M/tX+3P7h/uX+5v7k/uD+2v7R/sj+v/61/q3+p/6i/p7+nP6b/pr+mf6X/pT+j/6I/oD+dv5r/l/+Uv5F/jj+K/4f/hP+CP38/fH95v3a/c/9w/24/az9of2V/Yv9gf13/W79ZP1c/VP9Sf1A/Tb9K/0g/RX9Cfz+/PP86Pze/NX8zfzH/ML8vvy9/L38v/zD/Mn80fzb/Of89P0E/RX9KP08/VD9Zf17/ZD9pv27/c/94v30/gX+Ff4i/i3+Nv47/j7+Pv45/jH+Jv4W/gP97f3U/bn9nP1+/WD9Qv0l/Qr88fzb/Mj8uPyr/KH8mvyW/JP8kvyR/JH8kPyO/Iz8iPyD/H38dvxv/Gj8Yfxc/Ff8VPxT/FT8V/xb/GH8aPxw/Hn8g/yN/Jf8ofyr/LT8vfzE/Mn8zfzO/Mz8yPzA/LX8p/yW/IT8b/xa/EX8MPwe/A37/vvy++r75Pvg+9/74Pvh++P75Pvm++b75vvl++P74fve+9v72fvY+9j72vvd++L76Pvw+/n8A/wO/Br8Jvwy/D78SvxW/GL8b/x8/In8l/ym/Lb8x/zY/Ov8/f0P/SL9M/1D/VL9YP1r/XX9fv2E/Yr9j/2U/Zj9nf2i/an9sv28/cj91/3n/fr+D/4m/j7+WP5y/o3+qP7C/tr+8v8H/xn/Kv83/0L/S/9R/1b/Wv9c/1//Yv9m/2v/cv97/4f/lf+m/7r/0P/qAAUAJABEAGYAiQCsAM8A8AEQAS0BRgFcAW0BegGDAYgBiwGMAY4BkAGVAZ8BrgHDAd4CAQIqAlkCjQLEAv0DNwNwA6cD3AQNBDoEZASLBLAE0wT1BRYFNgVXBXcFlgW0BdAF6gX/BhIGIAYqBjEGNQY3BjgGOAY5BjoGPQZCBkgGUAZYBmEGaQZwBnUGeQZ6BnoGeAZ1BnIGbwZrBmoGaQZqBmwGcQZ4BoAGigaVBqMGsgbCBtQG5wb8BxEHKAc/B1YHbQeEB5oHrwfDB9cH6wf/CBQIKghCCFwIeQiZCLwI4QkICTIJXAmHCbIJ3AoFCi0KUgp2CpgKuArXCvQLDwspC0ILWgtwC4YLmguuC8AL0gviC/IMAQwQDB0MKgw3DEMMTgxYDGIMawxzDHsMggyKDJIMmgykDK8MuwzJDNkM6gz9DRENJg07DVANZg18DZENpg27DdEN5g37DhEOKA4+DlUOaw6BDpcOqw6/DtIO4w7zDwMPEQ8gDy8PPg9PD2APcw+ID54PtQ/MD+QP/BATECkQPxBSEGUQdhCHEJcQphC2EMcQ2BDrEP8RFREtEUYRYBF7EZYRsRHNEecR/xIVEigSNxJCEkgSSRJDEjcSJRIMEe4RyhGiEXcRSxEeEPEQxxCgEH0QXxBFEDEQIRAVEA0QBxACD/8P+w/3D/EP6Q/gD9UPyQ+7D60Pnw+QD4MPdw9sD2QPXw9cD1wPYA9oD3IPgQ+TD6gPwA/aD/YQExAwEE4QahCFEJ0QtBDIENoQ6RD3EQMRDREXESERKhE0ET0RRxFQEVkRYRFoEW0RcRFyEXERbxFrEWURXxFZEVMRTRFJEUURQhE/ET0ROxE3ETIRLBEjERgRChD7EOoQ2RDHELcQqBCdEJUQkRCREJUQnRCpELYQxRDTEN0Q6hD2EQERCREPEREREBEMEQYQ/xD2EO4Q5xDhEN0Q2xDaENoQ2xDbENsQ2BDTEMsQwBCzEKQQkxCCEHEQYhBUEEgQPhA1ECwQJRAcEBIQBg/4D+kP2A/ID7kPrA+jD58PoQ+qD7gPyw/iD/sQEhAmEDQQORA1ECUQCA/gD6wPbw8qDuAOkw5GDfsNtA1yDTUNAAzRDKcMgwxjDEYMKwwSC/kL4AvHC68Llgt+C2YLUAs6CyULEAr8CukK1QrACqoKkwp6CmAKRQooCgoJ7AnNCa8JkQl0CVgJPgkkCQsI8gjaCMIIqQiQCHcIXAhCCCcIDAfyB9gHvwenB5AHewdnB1QHQgcxByAHDwb+BuwG2QbFBrEGmwaDBmsGUgY4Bh4GAwXpBc8FtQWcBYQFbQVWBUAFKgUUBP4E6ATSBLsEpASMBHQEWwRDBCsEFAP+A+oD1wPGA7YDqAObA48DgwN4A2wDXwNSA0MDNAMjAxIDAQLvAt4CzQK8AqwCnQKOAoACcQJjAlQCRQI2AiYCFgIGAfcB6AHZAcwBvwGzAagBnQGRAYYBeQFrAVwBSwE6ASgBFgEFAPUA5wDcANUA0ADPANEA1ADaAOAA5gDqAO0A7gDsAOcA4ADXAM0AwQC1AKkAnACQAIQAeABrAF0ATgA9ACoAFv///+f/zv+z/5n/fv9k/0v/M/8c/wf+8/7g/s/+v/6v/qH+k/6H/nv+cf5n/l7+Vv5P/kn+Q/49/jj+M/4u/ir+Jv4i/h7+G/4Z/hb+FP4R/g7+C/4H/gP9/v34/fP97f3n/eL93f3Z/dX90v3P/cz9yP3D/b79tv2u/aT9mP2M/X/9c/1m/Vv9Uv1K/UP9P/08/Tr9OP04/Tf9Nv00/TL9MP0t/Sr9J/0k/SH9H/0e/R39Hf0d/R79IP0h/SP9Jf0n/Sn9LP0u/TD9Mv00/Tb9N/03/Tf9Nv00/TH9L/0s/Sr9KP0n/Sf9KP0r/S79Mv02/Tr9Pv1A/UD9P/08/Tf9MP0o/R79Ff0K/QH89/zv/Of84Pza/NX80PzM/Mf8w/y//Lv8uPy1/LT8s/y1/Lj8vPzC/Mr80vza/OL86vzx/Pf8/P0A/QT9Bv0J/Q39Ef0W/R39Jf0v/Tr9R/1W/WX9dv2H/Zr9rf3C/df97f4D/hn+L/5E/lf+aP53/oL+if6N/o3+if6D/nv+cv5o/l/+V/5R/k3+TP5M/k7+Uv5W/lr+Xv5g/mL+Y/5j/mP+Y/5k/mb+a/5x/nn+g/6P/p3+q/64/sX+0f7a/uL+5/7r/u3+7v7v/vH+9P75/wD/Cf8V/yP/M/9E/1X/Zv91/4L/jf+U/5j/mf+X/5L/jf+G/3//ef91/3P/c/91/3r/gf+J/5L/m/+k/6v/sf+1/7b/tf+z/67/qP+h/5r/k/+N/4f/g/+B/4D/gP+D/4b/i/+R/5j/oP+p/7L/vP/H/9H/2//l/+7/9//9AAMACAALAA0ADQAOAA4ADgAOABAAEgAWABsAIAAnAC0ANAA6AEAARQBJAE0AUABTAFYAWgBeAGQAbAB0AH4AiACSAJwApACrAK8AsQCxAK8AqwCmAKEAnACaAJkAmwChAKgAswC+AMsA1wDjAOsA8QDzAPIA7QDmANsA0ADEALkArwCnAKIAoAChAKQAqACtALIAtwC5ALsAugC3ALMArwCqAKYAowCiAKQApwCtALUAvgDIANEA2gDhAOcA6gDrAOsA6gDnAOQA4gDgAN4A3gDfAOAA4wDlAOcA6QDrAO0A7QDuAO8A8ADxAPMA9gD5AP4BAwEHAQwBEQEVARgBGQEaARoBGAEWARIBDgEKAQUBAQD8APcA8gDuAOkA5QDiAN8A3ADaANoA2gDaANwA3QDfAOEA4wDkAOUA5ADjAOEA3wDdANsA2QDYANcA1wDYANgA2ADXANUA0QDLAMIAtgCoAJgAhwB1AGMAUgBDADcALwAqACoALwA3AEIAUABgAHAAfwCOAJoApACrAK4ArwCuAKsApwCiAJwAlwCTAI8AjACJAIcAhACBAH4AewB3AHIAbQBoAGIAXQBXAFEASwBFAD0ANQArAB8AEQAC//H/4P/O/73/rv+h/5f/j/+L/4v/jf+S/5j/oP+n/63/sf+0/7T/sf+s/6T/mf+N/3//b/9e/0v/OP8k/xD++/7o/tX+xP61/qn+of6c/pv+nv6k/q3+t/7C/sz+1f7b/t/+3/7c/tb+zf7E/rn+r/6m/p/+mv6W/pX+lf6V/pX+lf6T/pD+i/6E/nz+cv5n/lz+UP5F/jr+MP4m/hz+Ev4H/fz98P3j/db9yP26/az9nv2R/YX9ev1w/Wb9Xf1V/Uz9Qv04/S79Iv0V/Qj8+/zt/OD80/zI/L78tfyu/Kn8pvyl/KX8qPys/LH8uPzB/Mv81vzj/PH9Af0T/Sb9Ov1R/Wn9g/2e/br91v3z/g7+KP4//lP+Yv5s/nD+b/5n/lr+R/4v/hL98v3Q/az9h/1h/T39Gfz3/Nf8uPyc/IP8bPxX/EX8Nvwq/B/8GPwS/A78C/wJ/Af8BvwE/AP8APv++/v7+fv3+/b79vv4+/v8AfwI/BH8G/wm/DL8PvxK/Fb8Yfxr/HP8evx//IL8hPyD/ID8evxz/Gn8XfxP/ED8L/we/Az7+vvo+9j7yPu6+677pPua+5P7jfuI+4T7gft/+3z7evt5+3f7dft0+3P7c/tz+3T7dvt5+337gvuJ+5H7mvuj+677uPvE+8/72/vn+/P8APwO/B38Lfw+/FH8Zfx6/JH8qPy//Nf87f0C/Rb9KP04/UX9UP1a/WH9aP1t/XL9dv17/YH9h/2O/Zb9oP2s/br9yf3b/e7+BP4c/jX+T/5r/ob+ov68/tb+7v8D/xf/KP83/0T/UP9c/2b/cv9+/4v/mv+s/8D/1//wAA0ALABPAHMAmwDEAPABHAFJAXUBoAHIAe0CDQImAjoCRgJKAkgCPwIyAiECDwH/AfEB6QHoAe8CAQIcAkICcAKlAuADHwNfA6AD3gQZBFEEhASyBN4FBgUsBVAFdAWYBbsF3gYABiAGPgZZBnAGgwaRBpsGoQakBqYGpwaoBqoGrgazBrsGxAbOBtgG4gbpBu8G8QbwBusG4wbZBs0GvwawBqEGkwaHBnwGcgZrBmYGYwZkBmYGbAZ1BoEGkQajBrkG0QbsBwgHJQdCB2AHfAeYB7IHywfjB/oIEggqCEQIXwh9CJwIvgjiCQgJLwlYCYAJqAnPCfUKGgo/CmEKgwqkCsQK4wsCCyALPQtZC3QLjQulC7wL0QvkC/UMBQwTDCAMLAw3DEIMTAxWDF8MaQxzDH0MiAyTDKAMrQy8DMsM3AzuDQENFA0oDT0NUQ1mDXoNjg2hDbQNxw3aDe0OAQ4VDikOPg5SDmcOew6PDqIOsw7DDtIO3w7sDvgPBA8QDx0PLA89D08PZQ98D5UPsA/LD+cQAhAcEDQQSxBeEHAQgBCNEJoQpRCxELwQyRDXEOYQ+BELER8RNhFOEWYRgBGZEbIRyRHeEfESARIMEhMSFRISEgkR+xHoEdERtxGbEX4RYhFIETARGxELEP8Q9xDyEPEQ8RDyEPIQ8hDuEOgQ3xDTEMMQsRCdEIgQcxBfEEwQOxAsECAQFxAQEAsQCRAJEAsQDxAVEBwQJhAxEEAQUBBjEHkQkBCpEMQQ4BD7ERYRMBFIEV4RchGCEZARmhGiEacRqhGrEaoRqRGlEaERnRGXEZERixGFEX8ReRFzEW8RaxFoEWYRZhFnEWkRaxFuEXARchFyEXERbRFnEV4RUxFFETURIxEQEP0Q6hDZEMoQvhC2ELEQsBC0ELoQxBDQEPEQ+hEEEQ4RFxEfESYRKREpESYRIBEYEQ8RBhD9EPYQ8RDuEO0Q7hDwEPIQ8xDzEO8Q6BDeENEQwBCtEJkQhBBwEF4QThBAEDQQKRAgEBYQDBABD/QP5g/XD8gPuQ+tD6UPoQ+iD6kPtQ/GD9oP7hACEBIQHBAfEBcQBQ/oD8APjg9TDxEOyw6CDjkN8Q2tDW4NMwz+DM4MpAx9DFsMOwwcDAAL5AvJC68LlQt7C2MLSwszCx0LBwryCtwKxgqwCpgKfwpkCkcKKQoKCekJyAmnCYYJZwlICSsJDwj2CN0IxwixCJwIhwhzCF4ISQg0CB4ICAfyB9wHxgexB5wHhwdzB2AHTQc6BygHFQcDBvAG3AbIBrIGnAaEBmwGUgY3BhwGAAXkBckFrQWSBXgFXwVHBTAFGgUFBO8E2gTEBK4EmASABGgEUAQ4BCAECAPyA90DyQO3A6YDlwOKA30DcQNlA1kDTQM/AzEDIgMRAwAC7gLcAsoCuAKnApYChQJ0AmQCVAJEAjQCIwITAgIB8QHhAdEBwQGyAaMBlQGIAXoBbQFeAU8BPwEuARsBCAD1AOIA0ADBALQArACnAKcArAC1AMEAzwDfAO4A+wEGAQwBDgEKAQIA9ADiAM0AtQCbAIEAZwBPADcAIAAL//f/5P/R/77/q/+X/4P/bv9Z/0T/L/8a/wb+8/7g/s7+vv6u/p/+kf6E/nn+bv5l/l7+WP5S/k7+Sv5G/kP+P/46/jX+Lv4o/iD+Gf4R/gr+A/39/fj98/3v/ev96P3k/d/92/3W/dD9y/3G/cH9vP25/bf9tf21/bT9s/2y/bD9rP2n/aD9mP2O/YP9d/1s/WH9V/1O/Uf9Qf08/Tj9Nf0y/TD9Lv0s/Sr9Kf0n/Sf9J/0n/Sn9LP0v/TL9Nv07/T79Qv1F/Uj9Sv1L/Uz9Tf1O/U79Tv1O/U79Tf1M/Ur9SP1F/UL9Pv06/Tb9Mv0v/Sz9Kv0n/SX9JP0h/R/9G/0X/RH9C/0D/Pr88Pzm/Nv80fzI/L78tvyv/Kj8o/yd/Jn8lPyQ/Iz8ifyG/IX8hPyF/Ij8jfyT/Jv8pPyt/Lf8wPzH/M380PzQ/M/8y/zF/L/8ufy0/LD8r/yx/Lb8vvzK/Nj86fz7/Q/9I/03/Uz9YP1z/Yf9m/2v/cL91v3q/fz+Df4d/ir+NP47/j/+P/49/jj+Mv4r/iX+H/4b/hj+GP4a/h7+Iv4o/i3+Mv42/jj+Ov47/jv+O/48/j7+Qf5H/lD+Wv5n/nX+hP6U/qT+sv6//sn+0v7Y/tz+3/7g/uH+4v7k/uj+7f70/v3/CP8U/yH/L/88/0n/VP9d/2T/aP9p/2j/Zv9i/13/WP9T/1D/T/9P/1H/Vf9c/2P/a/90/3z/g/+K/47/kf+S/5H/jv+L/4b/gf98/3f/c/9x/3D/cf90/3j/fv+F/47/l/+i/6z/tv/B/8v/1P/c/+P/6f/u//L/9f/3//n/+v/8//3//wACAAUACQAOABMAGQAfACQAKQAuADIANgA5ADwAPwBBAEUASgBPAFYAXgBoAHIAfACGAI8AlwCdAKEAogCgAJwAlgCPAIcAfwB4AHMAcABwAHIAdwB+AIcAkQCbAKUArQCzALcAuAC3ALMArgCoAKIAnACXAJMAkQCQAJEAlACXAJoAnQCgAKEAogChAJ8AnACaAJcAlQCVAJUAlwCbAJ8ApQCqALAAtgC6AL4AwQDDAMQAxQDGAMcAyADLAM0A0QDUANcA2gDcAN0A3gDdAN0A3ADbANsA3ADfAOMA6ADvAPcBAAEIARABFgEaAR0BHQEbARcBEQELAQMA+wD0AO0A5wDhAN0A2QDWANQA0gDQAM8AzgDMAMsAygDKAMkAyQDIAMgAyADHAMcAxwDGAMYAxQDFAMUAxQDFAMYAxwDIAMkAyQDJAMgAxgDDAL4AuQCyAKsApACdAJYAkACMAIoAiQCLAJAAlwCfAKoAtQDBAM0A2ADjAOsA8gD2APkA+QD3APQA7wDpAOMA3ADVAM4AxgC/ALcArwCnAJ4AlQCMAIIAeABuAGUAWwBSAEkAQAA3AC0AIgAWAAj/+v/q/9n/yP+3/6f/mf+N/4P/fP95/3j/ef98/4D/hf+I/4v/i/+J/4T/ff90/2j/W/9M/zv/Kv8Y/wb+8/7f/sz+uf6n/pb+h/56/nH+a/5p/mv+cf55/oT+kf6d/qn+sv65/r3+vf66/rX+rf6k/pv+k/6M/ob+g/6C/oL+g/6F/of+iP6H/ob+g/5//nr+df5v/mn+Y/5d/lf+UP5J/kD+Nv4q/hz+DP36/ef90/3A/a39m/2K/Xv9bv1i/Vj9T/1F/Tz9Mv0n/Rv9D/0B/PP85fzX/Mn8vPyw/Kb8nfyW/JD8jPyK/Ir8i/yO/JL8mPyf/Kj8sfy9/Mr82fzr/P79FP0t/Uj9Z/2I/av90P31/hn+PP5b/nX+if6W/pv+l/6K/nb+Wv43/hD95v25/Yv9Xv0y/Qj84fy8/Jn8efxb/D/8JvwO+/n75vvV+8j7vfu0+677q/up+6j7p/uo+6f7p/um+6T7o/ui+6H7ofuj+6f7rfu0+777yPvU++D76/v2/AD8CPwO/BP8FfwV/BT8EfwM/Af8APv4++/75vvb+9D7xfu5+6z7n/uR+4T7dvto+1v7TvtC+zb7LPsi+xn7EvsL+wb7Avr/+vz6+/r7+vv6+/r9+v/7AvsG+wr7EPsX+x77J/sw+zv7RvtS+177a/t4+4b7lful+7b7yfvd+/P8Cvwj/Dz8Vfxv/Ij8n/y1/Mn82/zr/Pn9Bf0R/Rv9JP0t/Tb9P/1H/VD9Wf1h/Wr9cv16/YP9jf2Y/aX9tP3G/dr98f4L/ib+Q/5h/n7+m/63/tL+6/8C/xf/LP9A/1P/aP99/5T/rf/I/+QAAwAkAEYAawCRALgA4QEMATgBZgGVAcQB9AIiAk4CdgKZArYCywLXAtoC1ALFArAClQJ3AlkCPQInAhkCFgIeAjICUgJ+ArQC8QM0A3oDwQQGBEcEhAS8BO8FHQVHBW4FkwW2BdkF+wYcBjwGWgZ2Bo8GpQa3BsUG0AbZBuAG5wbuBvYHAAcMBxkHKQc5B0kHVwdkB2wHcQdyB24HZQdZB0oHOAclBxEG/QboBtUGwgawBqAGkQaEBnoGcgZtBmwGcAZ5BoYGmQavBsoG6AcJByoHTQduB44HrQfKB+UH/ggXCC4IRgheCHgIkwivCM0I7QkOCTAJVAl4CZwJwQnnCgwKMgpYCn8KpQrLCvELFgs6C10LfgudC7kL0wvqC/8MEgwjDDIMPwxLDFcMYgxtDHgMgwyPDJwMqQy4DMgM2QzqDP4NEQ0lDToNTw1jDXcNiQ2bDawNvA3LDdoN6A32DgQOEw4iDjMOQw5VDmYOdw6JDpkOqA61DsIOzQ7YDuEO6w72DwIPEA8gDzIPSA9gD3sPlw+0D9IP7hAKECMQOhBOEF8QbRB5EIQQjRCVEJ4QpxCyEL8QzRDeEPERBhEdETURTRFmEX4RlRGqEb0RzBHYEd8R4RHgEdoR0BHDEbURphGXEYoRgBF6EXgRexGDEY4RnBGrEboRxxHREdYR1hHQEcMRsRGaEX4RYBFBESIRBRDrENQQwhC0EKoQpRCjEKQQphCrELAQtxC+EMYQ0BDaEOYQ9REFERgRLBFDEVsRdBGNEaYRvRHSEeUR9BIAEggSDBINEgsSBhH/EfYR7BHiEdcRzBHCEbkRsBGpEaMRnhGaEZcRlRGUEZQRlBGVEZYRlxGYEZkRmRGYEZYRkxGPEYoRgxF7EXERZhFZEUwRPREvESAREREEEPkQ8BDqEOcQ6BDrERQRFBEXERwRIxEqETERNhE4ETgRNBEuESYRHREUEQwRBhEDEQMRBREKEQ8RFREZERsRGRESEQcQ9xDjEMwQsxCaEIEQahBWEEUQNxAqECAQFRALD/8P8Q/iD9EPwA+vD58Pkg+JD4QPhA+KD5MPnw+tD7oPxA/KD8kPwA+uD5MPbw9CDw4O1Q6XDlcOFg3WDZgNXQ0lDPEMwgyWDG0MRwwkDAML5AvGC6kLjQtzC1kLQAsoCxEK+QriCsoKsgqYCn4KYgpECiUKBQnjCcEJnwl+CV0JPQkfCQII5wjOCLcIoQiNCHkIZghUCEIIMAgfCA0H+wfpB9cHxQezB6AHjQd6B2cHUwc/BysHFgcBBuwG1gbABqoGkwZ8BmUGTQY0BhoGAAXmBcsFsAWVBXsFYQVIBTAFGQUBBOoE1AS9BKYEjwR3BF8ERwQvBBcEAAPqA9YDwwOxA6ADkQODA3UDaANbA00DPwMwAyEDEQMAAu8C3gLMArsCqQKYAocCdQJkAlICQAIuAhsCCAH1AeMB0AG+Aa0BnQGOAX8BcQFkAVYBSAE6ASsBGgEJAPcA5QDTAMEAsgCmAJ0AmQCZAJ4AqAC2AMYA2QDrAP0BCwEWARoBGQEQAQEA6wDQALEAjgBqAEUAIf/+/97/wP+l/47/eP9l/1P/Qv8z/yT/Ff8H/vn+7P7f/tL+xf65/q3+of6V/or+gP52/m3+Zv5g/lv+V/5V/lP+Uv5R/k/+TP5J/kP+PP4z/ir+H/4V/gr+AP33/e795/3h/dv91v3R/cz9xv2//bj9sf2q/aP9nP2W/ZH9jf2K/Yj9hf2D/YH9ff15/XT9bv1n/V/9WP1R/Ur9Rf1A/Tz9Of03/TX9M/0x/S/9Lf0q/Sj9Jf0j/SL9If0i/SP9Jv0p/S39Mf01/Tj9O/0+/UD9Qf1B/UH9Qf1A/T/9Pf08/Tr9OP01/TL9Lv0q/SX9IP0b/Rb9Ef0N/Qn9BP0A/Pz8+Pzz/O785/zg/Nf8zvzE/Lr8sPym/Jz8lPyM/IX8gPx7/Hf8c/xw/G38afxm/GP8YPxd/Fv8Wvxa/Fz8X/xk/Gr8cfx5/IH8h/yM/JD8kfyP/Iv8hfx+/Hb8b/xp/GX8Zfxo/G78efyG/Jb8qfy8/ND84/z1/QX9Ff0i/S/9O/1H/VL9Xv1r/Xf9hP2R/Zz9p/2w/bj9vf3B/cP9xP3F/cb9x/3J/c390v3Y/d/95v3u/fX9+/4A/gT+B/4J/gr+C/4O/hH+Ff4c/iX+MP49/kv+Wv5q/nn+iP6V/qH+q/6z/rn+vf7A/sH+wv7D/sT+xv7J/s3+0v7Z/uH+6v7z/vz/Bv8P/xf/Hv8j/yf/Kv8s/yz/LP8s/yv/K/8s/y3/MP8z/zj/Pf9E/0r/Uf9X/13/Y/9n/2r/bf9u/27/bv9t/2v/av9p/2n/af9r/27/cv93/37/hv+O/5f/of+q/7T/vf/F/83/1f/b/+L/5//t//L/9//8AAEABgALAA8AFAAYABwAHwAiACUAJwApACsALAAuAC8AMQA0ADcAOgA+AEMASQBPAFYAXQBlAGwAcgB4AH0AgACBAIEAfwB8AHcAcQBrAGUAXwBaAFYAVQBVAFcAWwBhAGgAcAB5AIEAiACNAJEAlACUAJIAjgCKAIUAfwB6AHUAcQBvAG0AbQBvAHEAdAB4AH0AgQCGAIoAjgCSAJUAmACaAJsAmwCaAJkAlwCUAJIAjwCOAI0AjgCQAJQAmgCgAKgAsAC4AL8AxQDJAMsAzADLAMkAxgDEAMIAwwDFAMkAzwDXAOAA6QDyAPoBAQEFAQYBBQEBAPsA9ADsAOQA3ADVAM8AygDHAMYAxQDFAMUAxQDFAMQAwwDBAL4AuwC4ALQAsQCuAKsAqQCoAKcApwCoAKkAqwCtAK8AsQCzALUAtgC4ALkAuQC5ALkAuAC3ALcAtwC3ALgAuQC7AL0AwQDEAMkAzQDSANgA3QDjAOgA7gD0APkA/wEEAQkBDgESARYBGQEbARwBHQEdARsBGQEWAREBCwEEAPwA8gDmANoAzAC9AK4AnwCPAIAAcgBkAFYASgA9ADEAJQAZAAv//f/v/9//0P/A/7H/ov+V/4r/gf96/3T/cP9s/2n/Zv9h/1v/U/9K/z7/MP8h/xD+/v7s/tr+x/61/qP+kf6A/m/+YP5R/kT+Of4w/iv+Kf4q/i/+OP5D/lD+Xf5r/nj+gv6K/o/+kP6O/or+hP58/nX+b/5p/mb+ZP5l/mb+af5t/nD+dP53/nn+e/58/n7+f/5//oD+gP5//n3+ef5y/mn+XP5L/jj+Iv4K/fH91/2+/af9kv1//W/9YP1U/Un9P/01/Sv9IP0V/Qj8+/zt/N/80fzE/Lf8q/yg/Jb8jfyE/H38d/xy/G/8bfxt/G/8c/x5/IH8i/yX/KX8tvzI/N389f0P/S39T/1z/Zr9xP3u/hj+Qf5l/oT+m/6q/q7+qf6Y/n7+W/4w/gD9zP2X/WH9Lvz9/ND8p/yC/GH8Q/wo/BD7+vvm+9T7xPu2+6r7oPuZ+5P7jvuL+4j7hfuC+3/7evt1+2/7aPti+1z7WPtW+1X7V/ta+1/7Zvtt+3X7fPuC+4f7ivuM+4z7jPuJ+4b7g/t++3r7dftw+2r7ZPte+1b7TvtF+zv7MPsl+xj7C/r++vD64vrV+sj6u/qw+qX6nPqU+o76ifqG+oT6g/qD+oT6hvqJ+oz6j/qU+pn6oPqn+q/6uPrD+s762vrm+vT7AvsQ+yD7MPtC+1X7avuA+5j7sfvL++X7//wY/DD8RfxZ/Gn8ePyF/JH8nPyn/LP8v/zN/Nv86vz6/Qn9GP0l/TH9O/1D/Uv9Uf1Y/WD9av13/Yb9mf2v/cj94/3//h3+Ov5W/nH+i/6j/rv+0v7p/wH/Gv82/1P/c/+U/7f/3AABACYASwBwAJQAuADcAQEBJwFPAXgBpAHQAf4CKwJWAn0CnwK6AswC1gLVAssCuAKgAoMCZQJJAjICJAIhAikCPwJjApICzAMPA1cDoQPrBDMEdgS0BOsFGwVFBWsFjQWsBcoF6AYFBiIGPgZaBnQGjAahBrQGxAbSBt4G6Qb0Bv8HDAcZBygHOAdJB1gHZwd0B30HhAeHB4YHgwd8B3QHagdfB1MHRwc7By4HIQcSBwIG8gbgBs4GvAarBp0GkgaLBooGjwaaBqsGwgbeBv0HHwdDB2YHiQepB8gH5Qf/CBcILghECFoIcAiHCKAIuwjZCPgJGQk9CWIJigmzCd0KCAo0CmEKjQq5CuQLDgs3C10LggukC8ML4Av6DBIMJww7DE0MXQxsDHoMiAyVDKMMsAy+DMwM2wzrDPwNDg0gDTQNSA1cDXANhA2XDakNuQ3IDdUN4Q3sDfUN/g4HDhAOGQ4kDi8OPA5KDlkOaA54DocOlg6kDrAOuw7FDs8O1w7gDuoO9Q8CDxIPJA85D1APag+FD6EPvQ/ZD/MQDBAiEDUQRxBWEGMQbxB6EIYQkhCgEK8QwBDTEOgQ/hEWES8RSRFiEXsRkhGnEbkRxxHREdcR2RHXEdERyBG+EbQRqxGkEaIRpBGtEbsRzxHnEgMSIRI+ElkScBKAEokSiRKBEnASWBI6EhgR9BHPEasRixFvEVgRRhE5ETIRLxEwETQROhFBEUoRUxFeEWkRdRGDEZERohG0EccR2xHwEgUSGRIrEjwSShJVEl0SYRJiEl8SWRJREkYSOxIuEiESFRIJEf8R9RHtEecR4hHeEdwR2xHaEdoR2hHaEdoR2hHZEdcR1RHSEc4RyhHGEcIRvhG6EbcRtBGxEa0RqhGlEZ8RlxGNEYERdBFlEVURRRE3ESoRHxEYEUgRPxE6ETgROhE8EUARQxFEEUQRQRE7ETQRKxEiERoRFBERERERFBEbESQRLRE2ETwRPxE8ETQRJxEUEP0Q4hDHEKsQkBB4EGQQUhBEEDcQLRAiEBcQCQ/6D+gP0w++D6gPkw9/D28PYw9cD1gPWA9bD2APZA9mD2YPYA9UD0IPKQ8JDuMOtw6HDlQOHg3nDbANeQ1EDREM4AyyDIYMXAw1DBAL7QvMC60LjwtzC1gLPQskCwoK8QrXCrwKoAqDCmUKRgomCgQJ4gnACZ4JfQldCT4JIQkFCOsI0gi6CKMIjQh3CGIITQg5CCYIEwgBB/AH4AfQB8EHsgejB5QHhAdzB2AHTAc3ByAHCAbwBtcGvgamBo4GdgZfBkkGMgYdBgYF8AXZBcIFqwWTBXsFYwVLBTMFGgUCBOoE0gS5BKAEhwRuBFUEPAQkBAwD9gPgA8wDuQOoA5cDiAN4A2kDWgNKAzsDKgMaAwoC+QLpAtgCyQK5AqoCmgKKAnoCaQJWAkMCLwIaAgQB7gHYAcMBrwGdAYsBfAFtAWABVAFIAT0BMQEkARYBCAD4AOgA2ADJALsArgClAJ8AnACeAKQArQC5AMcA1gDkAPAA+AD8APoA8QDiAM0AsQCQAGwARAAc//P/zP+n/4X/Zv9L/zP/Hv8M/vz+7v7h/tb+zP7D/rr+sv6q/qP+nP6V/o7+iP6B/nr+c/5s/mb+Yf5c/ln+Vv5U/lT+U/5T/lL+UP5M/kf+Qf44/i/+JP4Z/g7+A/35/fD96P3g/dn90/3M/cX9vv21/az9o/2Z/Y/9hv19/XT9bf1m/WD9Wv1U/U/9Sf1D/Tz9Nv0w/Sr9JP0g/R39G/0a/Rv9G/0d/R79Hv0e/R39G/0Y/RX9Ef0N/Qr9B/0F/QT9BP0E/QX9Bv0H/Qj9Cf0K/Qr9Cv0K/Qn9Cf0H/Qb9BP0C/P78+vz1/PD86vzj/Nz81fzP/Mn8xPy//Lv8uPy2/LP8sfyu/Kv8pvyh/Jz8lvyP/In8gvx9/Hf8c/xv/Gz8avxo/Gf8Zfxj/GD8XfxY/FP8TfxG/D/8OPwx/Cv8Jvwi/CD8IPwh/CP8J/wq/C78Mvw1/Df8Ofw6/Dv8PPw+/EH8RfxM/FT8X/xs/Hn8iPyW/KT8sPy7/MT8y/zQ/NX82Pzb/N784vzn/O789fz9/Qb9D/0Z/SH9Kv0y/Tn9QP1I/U/9WP1h/Wv9dv2B/Y39mP2j/a39t/2+/cX9yv3P/dT92P3d/eL96f3x/fr+Bf4Q/hz+Kf42/kL+Tv5a/mT+bv52/n3+hP6J/o7+kv6V/pj+m/6e/qH+pP6o/q3+sv63/r3+xP7L/tL+2f7g/ub+7P7y/vj+/P8B/wT/CP8K/w3/D/8R/xT/Fv8Z/xz/H/8j/yj/Lf8y/zj/Pv9E/0n/Tv9S/1b/WP9b/1z/Xv9f/2H/Y/9m/2n/bv9z/3n/gP+H/4//mP+h/6r/s/+9/8f/0f/b/+b/8P/5AAIACgARABYAGgAcAB4AHgAeAB0AHAAbABsAHAAdAB8AIQAkACcAKQAsAC8AMQAzADQANwA5ADwAQABFAEoAUABWAF0AYgBmAGkAagBqAGcAYwBdAFcAUQBMAEgARwBHAEsAUABYAGEAagBzAHsAgACDAIMAfwB5AHAAZQBZAE4ARAA7ADUAMwAzADcAPgBHAFMAXwBrAHcAggCLAJEAlgCXAJYAkgCMAIUAfABzAGsAYwBdAFkAWABaAF8AZwBwAHwAhwCTAJ4AqACvALQAtgC3ALUAswCxAK8ArgCvALIAtgC8AMQAywDTANkA3gDgAOEA3wDbANYA0ADJAMIAvAC4ALQAsgCxALEAsgCzALQAtQC1ALUAswCxAK8ArACqAKcApACiAKEAoACgAKEAowClAKcAqgCtAK8AsgC0ALUAtgC2ALUAtACyALEAsACwALAAsgC1ALkAvgDFAMsA0gDZAN8A5QDqAO0A7wDwAPEA8QDxAPEA8gDzAPYA+QD+AQQBCwETARsBIwEqATIBOAE8AT8BPwE9ATgBMAEmARkBCQD4AOUA0QC8AKgAlACCAHAAYABRAEQAOAAsACAAFQAJ//3/8f/k/9f/yv++/7H/pv+a/4//hP94/2z/X/9R/0D/Lv8a/wX+7v7X/r/+p/6R/nv+Zv5T/kH+Mf4j/hX+Cv4A/fj98f3u/e397v3z/fv+Bf4S/iD+Lv49/kr+Vf5d/mP+Zf5l/mL+Xv5Y/lP+Tv5J/kf+Rv5H/kr+Tv5S/lj+Xv5l/mv+cv55/n/+hv6L/pD+lP6V/pP+jv6F/nj+Z/5S/jr+IP4E/ej9zf20/Z39iP12/Wf9Wv1O/UP9OP0s/SH9FP0G/Pj86vzc/M/8wvy2/Kv8ofyX/I78hPx7/HL8afxg/Fn8VPxQ/E/8UfxW/F78afx1/IX8lvyp/L781vzw/Q39Lv1T/Xr9pf3S/f/+K/5T/nf+kv6l/qz+qP6Y/n3+V/4p/fX9vP2D/Un9E/zg/LL8ivxo/Er8Mfwd/Av7/Pvv++T72vvR+8n7wvu7+7X7rvun+5/7lvuM+4H7dPtm+1f7Sfs7+y/7JPsb+xT7D/sM+wr7CfsI+wf7BfsD+wD6/fr6+vb68/rx+vD68Prw+vH68vry+vH67/rs+ub63vrV+sr6vvqw+qL6k/qE+nb6aPpb+k76Qvo4+i76Jvof+hr6FvoU+hP6E/oU+hb6Gfod+iH6Jvos+jP6O/pE+k/6Wvpm+nP6gPqO+pz6qvq5+sn62frr+v77Evsp+0H7Wvt0+4/7qPvA+9b76fv6/Aj8E/wd/CX8Lvw4/EP8Ufxh/HP8hvyb/K/8wvzT/OL87fz2/P39Av0G/Qv9Ev0b/Sf9Nv1J/V39dP2M/aT9u/3R/eb9+f4L/h3+L/5D/lj+cf6M/qz+zv7y/xn/QP9o/47/sv/U//QAEgAtAEgAZACAAJ4AvwDjAQoBNAFgAYsBtgHeAgECHQIxAj4CQgJAAjcCKwIeAhMCDQIPAhoCMQJTAoECugL7A0IDjAPWBB4EYQSeBNQFAgUpBUsFZwWBBZoFsgXKBeQF/wYaBjUGUAZpBn8GkwalBrQGwAbKBtMG3AbkBu0G9Qb9BwYHDQcUBxoHHwcjByYHKQcsBzAHNQc6B0EHSAdOB1QHVwdYB1QHTAdABzAHGwcFBu4G1wbDBrMGqAakBqgGswbEBt0G+gcbBz8HZAeIB6wHzQfsCAkIIwg8CFQIbAiECJ4IuQjXCPcJGglACWkJkwnACe4KHApLCnoKpwrUCv8LKAtPC3QLlwu4C9YL8wwNDCYMPgxUDGkMfQyQDKEMsgzCDNIM4QzvDP4NDQ0cDSwNPA1ODV8NcQ2EDZYNqA25DcgN1g3jDe4N+A4ADgcODQ4TDhkOHw4nDjAOOg5GDlMOYg5xDoAOkA6eDqwOuA7DDswO1Q7cDuQO7A71DwAPDQ8dDzAPRg9eD3gPkw+wD8wP6BADEBwQNBBLEGAQdRCIEJwQsBDEENkQ7xEHER4RNxFQEWkRghGaEbARxRHXEeUR8RH4EfsR+hH1Ee0R4xHYEc0RxRHAEcERxxHUEecSARIfEkESZBKFEqMSvBLNEtYS1hLNErsSoxKGEmYSRBIjEgUR6hHUEcQRuBGyEbARshG3Eb4RxxHSEd0R6hH3EgYSFhInEjkSSxJfEnEShBKUEqMSsBK5Er8SwRLAErwStBKqEp4SkRKCEnQSZhJZEk0SQhI5EjISLBIoEiUSIhIhEiASIBIgEiESIRIhEiESIRIfEh0SGxIXEhISDhIIEgMR/RH5EfUR8hHvEe4R7BHrEegR5BHeEdURyhG8EawRmhGHEXQRYxFUEZgRihF/EXYRbxFqEWYRYhFdEVgRUBFIET4RMxEpESARGhEXERgRHREmETERPRFKEVURXBFeEVsRUhFDES8RFhD7EN8QxBCqEJMQfxBuEGAQUxBIEDsQLhAeEAwP9w/gD8gPrw+WD38Paw9ZD0sPQA84DzEPKw8lDx4PFA8HDvcO4g7JDqwOig5lDj0OEg3mDbcNiA1ZDSkM+gzMDJ8MdAxKDCEL+wvWC7MLkQtxC1ILNAsWCvgK2gq8Cp0KfgpdCjwKGgn4CdYJtQmUCXUJVwk7CSAJBwjwCNkIwwisCJYIfwhnCE8INwgfCAcH8QfcB8kHuAepB5wHkAeEB3gHawdcB0sHOAciBwoG8AbVBrkGnQaCBmgGTwY4BiIGDQX5BeYF0gW/BasFlwWDBW4FWAVDBSwFFgT+BOcEzgS1BJwEgQRnBEwEMgQYBAAD6APSA70DqgOXA4YDdQNlA1QDQwMxAyADDgL9AuwC3ALNAr8CsgKlApkCjAJ+Am8CXgJLAjYCHwIIAe8B1gG+AacBkwGAAW8BYQFVAUoBQAE2ASwBIQEVAQgA+gDrANwAzgDAALQAqwCkAJ8AngCfAKMAqQCvALYAvADBAMIAwAC6AK8AnwCJAHAAUQAwAA3/6P/D/5//ff9d/0D/Jv8P/vv+6v7b/s3+wf63/q3+pP6c/pX+j/6J/oX+gP59/nn+dv5y/m7+av5l/mH+XP5Y/lT+Uf5O/kz+Sv5J/kf+Rf5B/j3+N/4x/in+IP4X/g3+BP37/fL96v3h/dn90f3J/cD9tv2s/aH9lv2L/YD9df1r/WL9Wf1Q/Uj9QP05/TD9KP0f/Rb9Dv0F/P78+Pzz/O/87fzt/O387vzv/PD88fzx/PD87fzq/Of84vze/Nr81vzT/ND8zfzL/Mn8x/zG/MT8wvzB/MD8vvy+/L38vPy8/Lr8ufy2/LL8rfyn/KD8mPyP/If8f/x3/HH8a/xn/GX8Y/xj/GP8Y/xk/GT8Zfxk/GT8Y/xi/GL8Yfxh/GH8Yfxh/GH8YPxg/F78XPxZ/FT8TvxH/D78NPwp/Bz8D/wB+/T75/vc+9P7y/vH+8b7yPvM+9T73fvo+/P7//wL/Bb8H/wo/DD8OPw+/EX8S/xR/Fj8Xvxk/Gr8b/xz/Hf8efx7/Hz8ffx//ID8g/yH/Iv8kfyY/KD8qPyw/Ln8wvzL/NX83/zp/PT9Af0O/Rz9Kv05/Uf9Vv1j/XD9e/2G/Y/9l/2f/aX9rP2z/br9wv3K/dL92v3j/ez99P39/gX+Dv4W/h7+Jv4v/jf+QP5I/lD+WP5g/mf+bv50/nn+fv6D/oj+jP6Q/pT+mP6c/qH+pf6q/rD+tf68/sL+yf7Q/tb+3f7j/uj+7P7w/vL+9P71/vX+9v73/vn+/P8A/wb/Df8U/x3/Jv8u/zb/Pv9F/0r/T/9S/1X/V/9a/1z/Xv9h/2X/af9t/3P/ef+A/4f/kP+Z/6T/r/+7/8f/1P/f/+r/8//6//8AAgADAAIAAP/9//r/+P/4//j/+///AAUADAASABkAHgAiACQAJAAjACAAHQAaABgAGAAaAB4AJAAtADcAQgBNAFcAXwBlAGgAaABlAGAAWgBTAE0ASQBGAEcASgBRAFkAYwBtAHYAfgCCAIQAggB8AHIAZwBaAE0AQQA2AC8AKwAqAC0ANAA9AEcAUwBfAGsAdAB8AIIAhQCFAIMAfgB4AHAAZwBeAFUATQBHAEMAQQBCAEYATQBWAGAAbAB4AIQAjgCXAJ4AowClAKYApgClAKQApACkAKUAqACrAK8AtAC4ALsAvQC+AL4AvAC5ALYAsQCtAKkApQCiAKAAngCdAJwAnACbAJsAmgCaAJkAmQCYAJgAmACZAJkAmgCbAJ0AnwCgAKIAowClAKcAqACqAKsArACsAKwArACrAKoAqACmAKUApACkAKUApwCrAK8AtQC7AMEAyADPANQA2ADcAN0A3gDdANwA2QDXANUA1ADUANUA1wDcAOIA6gD0AP8BCwEXASQBMAE6AUMBSgFOAU8BTAFGATsBLgEdAQkA9ADeAMcAsACbAIcAdABkAFYASgA/ADYALQAlABwAFAALAAH/9//r/+D/0//F/7f/p/+W/4P/b/9Y/z//Jf8J/uv+zf6u/pD+dP5Y/j/+Kf4V/gT99v3q/eD92P3S/c39yv3J/cn9zP3Q/df93/3p/fT+AP4M/hj+Iv4q/jD+NP42/jX+M/4w/iz+KP4l/iP+I/4k/if+K/4x/jn+Qf5K/lT+Xv5p/nP+ff6G/oz+kP6R/o7+h/57/mv+WP5A/if+DP3x/db9vv2n/ZP9gv1z/WX9Wf1N/UD9M/0l/Rb9Bvz1/OX81fzH/Ln8rvyk/Jv8k/yL/IL8efxv/GX8WvxP/Eb8Pvw4/Db8N/w7/EL8TPxZ/Gj8ePyK/J38svzJ/OT9Av0l/Uv9df2j/dL+Af4t/lX+df6M/pj+mP6L/nL+T/4i/e/9uP1//Ub9Efzg/LX8kPxx/Fj8RPw1/Cr8Ifwa/BT8D/wK/AX7//v4+/D75vva+8z7vPuq+5b7gfts+1j7RPsy+yL7FPsI+v/69vru+ub63frT+sj6vPqv+qL6lfqK+oH6evp2+nX6d/p7+oD6hfqK+oz6jPqJ+oP6evpv+mH6UvpD+jP6I/oU+gf5+vnv+eT52/nT+cz5xvnB+bz5ufm3+bb5t/m4+br5vvnC+cj5zvnW+d756Pn0+gD6Dvoc+iv6O/pK+ln6aPp2+oX6lPqk+rb6yfre+vX7Dfsn+0H7Wvty+4f7mfup+7T7vvvF+8v70vvZ++P78Pv//BH8JPw5/E38YPxx/H/8ifyR/Jb8mfyc/J/8pPyr/LT8wPzO/N787vz//Q79HP0o/TL9O/1E/Uz9Vv1j/XP9h/2f/bz93P3//iT+Sv5w/pX+t/7X/vT/Dv8l/zv/UP9k/3r/kf+r/8j/6QANADQAXQCGAK8A1wD7ARsBNwFOAWEBcAF9AYsBmwGuAcgB6gITAkYCgALBAwYDTwOXA94EIARcBJEEvwTlBQYFIgU7BVIFaAWABZgFswXPBesGCAYjBj0GVAZoBngGhAaOBpUGmQabBp0GnQaeBp4GnwagBqIGpAapBq8GuAbEBtIG4wb4Bw4HJgc+B1QHaAd4B4IHhgeDB3kHaAdSBzgHGwb/BuUGzwa/BrcGtga+Bs4G5gcDByYHTAd0B5wHwwfoCAsIKwhKCGYIgQicCLgI1Qj0CRUJOQlgCYkJtQniChAKPwpuCpsKxwrxCxoLQAtkC4YLpwvGC+QMAAwcDDcMUgxrDIQMmwyxDMYM2QzqDPsNCg0ZDScNNQ1DDVENYA1vDX8NkA2gDbENwg3SDeEN7g37DgYOEA4YDiAOJg4tDjMOOQ5ADkgOUQ5bDmYOcg5/Do0Omw6pDrYOww7ODtkO4w7sDvQO/g8HDxMPIA8wD0MPWQ9xD4wPqA/GD+UQBBAjEEEQXxB7EJcQshDNEOcRAREbETURTxFoEYARmBGvEcQR2BHrEfsSCRIVEh4SJBImEiYSIhIbEhESBxH7EfER6BHjEeMR6RH0EgUSGxI2ElMScBKMEqUSuBLEEsoSxxK9Eq4SmhKCEmoSUxI+EiwSHxIXEhMSFBIZEiESKxI3EkQSUhJhEnASgBKREqMStRLHEtgS6hL5EwcTEhMaEx8TIBMeExgTEBMEEvcS6RLaEsoSvBKuEqISlxKNEoYSfxJ6EnYSchJuEmsSaBJkEmESXhJbElgSVhJUElQSVBJUElQSVBJTElISTxJLEkcSQRI7EjUSLxIqEiYSIxIgEh0SGxIXEhISCxICEfcR6RHaEckRuBGnEfcR5xHYEckRuxGtEaARlBGHEXoRbhFgEVMRRxE8ETQRLhEsES4RNBE+EUsRWRFoEXURfxGFEYYRgRF1EWQRThE1ERoQ/hDkEMoQtBCgEI4QfxBwEGIQUxBDEDIQHhAID/EP2Q/BD6kPkQ98D2gPVQ9EDzQPJQ8WDwYO9Q7jDs8OuQ6gDoUOaA5IDiYOAQ3bDbINhw1cDS8NAgzUDKcMeQxNDCIL9wvOC6YLfwtZCzQLDwrsCsgKpQqCCmAKPQobCfkJ2Am3CZgJeQldCUIJKQkSCPwI6AjVCMIIrgiaCIQIbAhTCDkIHggCB+cHzge3B6IHkAeBB3QHaQdfB1UHSQc8BywHGQcDBusG0Aa1BpgGfAZhBkcGLwYYBgMF8AXdBcoFuAWlBZIFfwVrBVcFQwUuBRoFBQTwBNoEwwSrBJMEeQRfBEQEKQQOA/QD2wPEA64DmQOGA3QDYQNQAz4DLAMZAwcC9QLkAtMCxAK3AqoCnwKVAosCgAJ0AmYCVQJBAisCEwH6AeABxgGuAZcBgwFxAWMBVgFMAUIBOQEuASMBFwEJAPoA6gDaAMwAvgCyAKkAowCgAJ4AnwChAKMApQCmAKUAoQCbAJEAhABzAF8ASAAvABP/9v/Y/7n/m/9+/2L/SP8x/xv/CP74/un+3P7Q/sX+u/6y/qn+of6Z/pL+jP6G/oH+fv57/nj+df5z/nD+bf5p/mT+X/5a/lX+T/5K/kX+Qf49/jn+Nf4w/iz+J/4i/hz+Fv4P/gf9//33/e795v3c/dP9yP2+/bL9p/2b/Y/9g/13/Wz9Yv1Y/U/9R/0//Tf9MP0n/R/9Ff0M/QL8+Pzv/Ob83/zY/NP8z/zM/Mn8x/zF/MT8wfy+/Lv8t/yy/K38qfyk/KD8nPyY/JX8kvyP/Iv8iPyE/ID8fPx4/HX8cvxw/G78bfxr/Gr8afxn/GT8YPxa/FT8TfxF/D78N/ww/Cv8J/wk/CP8Ivwj/CX8J/wq/C38MPw0/Df8O/w//EP8R/xL/E78UPxR/FD8TvxK/EX8Pvw2/C38I/wY/A38Afv0++f72vvM+7/7s/uo+5/7mfuV+5X7mfuh+6v7uPvH+9f75/v2/AL8DfwV/Br8Hfwd/Bz8G/wZ/Bj8F/wY/Bn8HPwg/CT8Kfwv/DT8OvxB/Ef8TvxV/F38Zfxt/HX8ffyG/I/8l/yg/Kn8s/y+/Mr81vzj/PH9AP0O/Rz9Kv04/UT9T/1a/WP9bP10/Xv9g/2K/ZH9mP2f/aX9rP2y/bj9vf3D/cn9z/3W/d395f3u/ff+AP4K/hT+Hv4n/jD+OP5A/kj+T/5V/lv+Yf5m/mv+b/5z/nb+ef58/n/+gv6F/or+kP6W/p7+pv6u/rf+v/7G/sv+0P7T/tX+1v7X/tj+2f7c/uD+5v7t/vb/AP8K/xT/Hv8o/zD/OP8//0T/Sv9O/1L/Vv9Z/13/YP9j/2b/af9t/3H/dv98/4P/i/+U/57/qf+z/73/xf/M/9D/0v/T/9H/z//N/8z/zP/O/9P/2v/k/+///AAJABQAHgAmACoAKwApACQAHgAYABEADQAKAAsADwAWAB8AKwA3AEMATwBYAF4AYgBjAGIAXwBbAFcAVABTAFUAWgBiAGwAeACFAJIAngCoAK8AswC0ALIArgCoAKAAmACRAIoAhQCBAH4AfAB7AHoAeQB4AHYAdAByAG8AbABoAGUAYgBeAFsAWABWAFMAUABOAEwASwBMAE4AUQBWAFwAYwBrAHMAfACDAIoAkACVAJgAmgCcAJ0AngCeAJ8AoAChAKIAowCjAKMAowCiAKEAnwCdAJsAmgCYAJYAlQCTAJEAjgCMAIkAhgCDAIAAfgB8AHwAfAB9AIAAgwCHAIoAjgCRAJQAlQCWAJYAlgCVAJQAkgCRAJAAkACPAI8AjwCPAJAAkACRAJIAkwCVAJcAmQCdAKEApACpAK0AsQC0ALcAuQC7ALwAvAC8ALwAuwC6ALoAuQC5ALoAvAC+AMMAyADPANgA4gDtAPoBBwEUASABKwE0ATkBPAE6ATUBKwEdAQ0A+QDkAM4AtwCiAI0AewBqAFwAUABGAD4ANwAxACwAJgAfABgAEAAG//v/7//g/9D/vv+q/5P/ev9f/0P/JP8D/uL+wP6e/n7+X/5D/ir+FP4C/fP95/3e/df90v3O/cv9yP3F/cL9wP2+/b79vv3A/cP9yP3N/dT92/3h/ef97P3w/fL98v3x/fD97f3r/er96f3q/e398v35/gH+DP4Z/ib+Nf5D/lL+X/5q/nP+eP55/nb+b/5i/lL+Pv4n/g/99v3d/cX9r/2c/Yr9e/1t/WD9U/1F/Tf9J/0W/QT88vzf/M78vvyv/KP8mPyP/Ij8gPx5/HH8aPxe/FP8SPw9/DP8K/wm/CP8JPwn/C78N/xC/E/8XPxq/Hr8jPyg/Lj81Pz1/Rr9RP1y/aL90v3//ij+Sv5i/m/+cP5k/k7+LP4D/dP9oP1s/Tr9Cvzg/Lr8m/yC/G/8YfxW/E/8SvxH/ET8Qfw+/Dr8Nfwt/CP8FvwH+/X74PvK+7P7m/uE+277WvtK+zv7MPsm+x77FvsN+wL69frk+tH6vPql+o36dvph+k/6Qfo3+jL6MPox+jT6OPo7+jv6Ovo1+i36IvoV+gf5+Pnp+dv5z/nD+br5sfmq+aT5nvmY+ZL5jfmI+YT5gPl9+Xz5e/l8+X35gPmE+Yj5jvmU+Zz5pfmw+bz5yvnY+ej5+PoI+hj6J/o2+kT6U/pi+nP6hfqZ+q/6x/rh+vr7FPss+0H7U/ti+237dft6+3/7hPuJ+5H7nPuq+7r7zfvg+/P8BfwV/CL8K/wy/Db8Ofw7/D78QfxH/E78Vvxg/Gr8dPx8/IP8h/yK/Iz8jfyO/JH8l/yf/Kz8vPzQ/Oj9Av0e/Tz9Wv13/ZT9sP3L/eT9/P4T/ir+P/5U/mn+fv6T/qn+wP7Z/vT/Ef8x/1L/dv+c/8P/6gARADcAXQCCAKcAzQD1ASABTgGBAbkB9QI3An0CxAMNA1QDmgPaBBYESwR6BKQEyAToBQQFHwU5BVQFbgWJBaUFwAXbBfQGDAYhBjIGQQZMBlUGWgZdBl8GXwZeBl4GXgZfBmEGZgZtBngGhgaYBq4GxwbkBwIHIwdDB2MHfweYB6sHtge7B7cHrAeZB4EHZQdGBycHCgbxBt8G1AbRBtgG5wb/Bx0HQQdpB5MHvQfnCA4INAhWCHYIkwivCMsI5wkECSQJRglqCZIJvAnnChQKQgpvCpsKxgrwCxgLPgtiC4ULpwvIC+kMCQwoDEYMZAyBDJwMtgzNDOMM9g0IDRgNJg00DUENTg1cDWoNeQ2IDZgNqQ26DcsN3A3sDfwOCg4YDiUOMQ48DkYOUA5ZDmEOaQ5xDngOgA6HDo8Olw6fDqkOsw6+DskO1Q7iDvAO/g8NDx0PLg9BD1UPaw+DD50PuQ/WD/QQExAyEFEQbhCLEKcQwhDcEPYRDxEpEUMRXRF4EZIRrBHGEd4R9BIHEhkSJxIzEjwSQhJGEkkSSRJHEkQSPxI5EjESKhIiEhsSFhIUEhUSGhIjEjASQRJVEmkSfhKREqISrhK1ErYSsxKrEp8SkhKEEncSbBJlEmESYRJlEm0SeBKEEpMSoxK0EsUS1xLpEvwTDhMhEzQTRhNWE2QTbxN3E3sTexN3E28TYxNVE0UTMxMhExATABLxEuQS2RLQEskSxBLAEr0SuhK3ErUSsRKtEqgSoxKcEpUSjhKHEoESfBJ5EnYSdhJ3EnkSexJ9En8SgBJ/EnwSeBJyEmoSYhJbElMSTRJIEkUSQhJBEkASPxI9EjkSMxIrEiASFBIGEkASMRIgEg8R/hHsEdwRzBG8Ea4RoBGTEYgRfRF0EW4RahFoEWoRbxF3EYERjRGYEaMRqhGuEa4RqBGdEY0ReRFhEUYRKxEQEPYQ3hDIELQQoxCSEIMQcxBkEFMQQBAtEBgQAg/sD9UPvg+oD5EPfA9mD1EPPA8nDxEO+w7kDswOsg6XDnoOXA46DhcN8Q3JDZ4Ncg1EDRYM5wy3DIgMWgwsDAAL1AuoC34LVAsqCwEK2AqwCokKYgo9ChkJ9wnWCbYJmAl8CWEJRwkvCRkJBAjwCN0IzAi6CKgIlQiBCGwIVQg8CCEIBgfqB88HtQedB4gHdQdmB1gHSwdABzQHJgcXBwUG8QbbBsIGqAaOBnQGWwZDBi0GGQYGBfQF4wXRBb8FrAWYBYMFbQVXBUAFKgUVBQAE6wTXBMIErQSXBIAEaARPBDYEGwQBA+cDzgO2A6ADiwN3A2QDUgNAAy4DGwMJAvYC5ALSAsICswKlApkCjwKFAnsCcQJlAlcCRwI0Ah4CBgHtAdQBuwGkAY8BfAFtAV8BUwFJAT4BMwEmARgBBwD2AOQA0gDCALQAqAChAJ0AnQCgAKQAqQCuALEAsQCtAKYAmQCJAHUAXgBEACgADP/w/9P/uP+d/4T/bP9V/0H/Lf8c/wz+/f7x/uX+2/7S/sn+wf65/rL+q/6k/p3+l/6R/oz+iP6E/oH+fv57/nj+dP5v/mr+Y/5c/lX+Tf5F/jz+Nf4t/ib+IP4b/hX+Ef4M/gf+Av39/ff98P3o/d/91v3M/cD9tf2o/Zv9j/2C/XX9af1e/VP9Sf1A/Tf9L/0n/R/9F/0P/Qf8//z3/O/85/zg/Nr81PzP/Mv8yPzF/MH8vvy6/LX8r/yp/KL8mvyS/Iv8g/x8/Hb8cPxr/Gb8Yvxd/Fn8VPxO/Ej8Qvw8/Db8MPwr/Cf8JPwh/B/8Hfwc/Br8GPwV/BL8D/wL/Af8BPwB+//7/vv++/78APwD/Ab8CfwO/BL8F/wd/CP8Kfwv/Db8O/w//EH8Qfw//Dn8Mfwn/Bv8Dfv+++/74PvT+8b7vPuy+6r7pPue+5n7lfuS+5H7kfuU+5j7n/uo+7P7wPvM+9j74/vs+/L79Pv0+/D76/vj+9z71PvP+8v7yvvM+9D71/vg++v79vwB/A38GPwj/C38N/xA/Ej8UfxZ/GH8avxy/Hr8g/yM/JX8n/yp/LT8v/zK/Nb84vzu/Pn9BP0O/Rf9IP0o/TD9N/0+/UX9TP1T/Vr9Yf1o/W79dP16/YD9hv2M/ZP9mv2i/av9tP2+/cj90f3b/eP96/3y/fj9/v4E/gr+EP4X/h7+Jf4s/jT+O/5B/kb+Sf5M/k7+UP5R/lP+Vv5a/mD+aP5x/nv+hv6Q/pr+o/6q/rD+tf64/rv+vv7B/sX+yv7Q/tf+4P7o/vL++/8E/w3/Ff8d/yX/LP80/zv/Qv9I/07/VP9Y/1v/Xv9g/2H/Yv9l/2j/bP9y/3n/gf+K/5L/m/+i/6f/qv+s/63/rf+t/63/sP+1/73/x//U/+T/9AAEABMAIAAqADEAMwAzAC8AKQAiABwAFgASABAAEQAVABwAJAAtADcAQABJAFAAVQBYAFoAXABdAF4AYQBlAGwAdgCCAJAAoACyAMQA1QDmAPUBAwENARYBHAEgASIBIgEfARsBFAELAQAA8gDiANEAvQCqAJYAgwByAGQAWABQAEsASgBKAE0AUQBVAFgAWwBdAF4AXgBdAF0AXABcAF0AXwBiAGYAawBxAHcAfACCAIcAjACQAJMAlgCYAJkAmgCZAJgAlwCUAJIAjwCNAIsAiQCIAIgAiQCKAIsAiwCLAIoAiQCGAIIAfgB6AHYAcwBxAHEAcgB0AHgAfACAAIUAiACKAIsAiwCJAIcAgwCAAHwAeQB3AHYAdQB1AHYAeAB7AH0AgACEAIcAiwCOAJEAlACXAJkAmgCaAJoAmQCXAJUAkwCRAI8AjgCNAI0AjgCPAJAAkQCSAJIAkwCUAJUAlwCaAJ8ApgCvALoAxgDUAOIA7wD7AQUBCwEOAQ0BCAD+APEA4QDPALsApgCSAIAAbgBfAFIASABAADkANQAxAC0AKQAlAB8AGAAPAAT/9v/n/9T/wP+p/5D/df9Y/zn/Gf74/tf+tf6V/nb+WP4+/if+FP4E/fj98P3q/eb94/3h/d792v3U/cz9w/25/a79pP2b/ZP9jf2K/Yn9iv2N/ZH9lf2Z/Zz9nv2e/Z39m/2Z/Zf9lf2V/Zj9nf2k/a/9vf3N/d/98/4H/hr+LP48/kn+Uf5W/lX+T/5F/jf+JP4Q/fn94v3L/bX9oP2N/Xz9bP1e/VD9Qv00/SX9Ff0F/PT84/zT/MP8tfyo/J38k/yK/IH8efxw/Gb8XPxR/Eb8O/ww/Cf8Ifwc/Br8G/we/CT8K/wz/Dv8RfxQ/Fz8a/x9/JP8rvzP/PT9Hv1L/Xn9pv3Q/fX+Ef4k/iz+KP4a/gH94P25/Y79Yv02/Q385/zH/Kv8lfyE/Hf8bvxo/GT8Yvxg/F/8Xvxc/Fn8VfxO/EX8Ofwr/Bn8Bvvx+9r7xPuv+5z7i/t8+3H7aPth+1r7U/tJ+z37LfsZ+wH65vrI+qn6ivpt+lP6Pfor+h36FPoN+gn6BfoB+fv59Pnr+eD50/nG+bn5rPmh+Zj5kPmK+YX5gfl9+Xr5dflw+Wv5Zflf+Vr5VvlT+VL5UflS+VT5VvlY+Vr5XPlf+WL5Zvlr+XL5e/mF+ZH5n/mu+b35zPnb+ev5+/oM+h36MfpH+l76ePqS+q76yPrh+vf7CfsY+yL7Kfsu+zL7Nfs7+0L7Tvtc+277gvuY+677w/vW++b78/v9/AT8CfwO/BL8Fvwa/CD8Jfwq/C78Mvwz/DP8Mfwv/C38Lfwu/DL8OvxF/FP8ZPx2/In8nPyt/L78zfzb/On8+P0I/Rr9Lv1G/V/9e/2X/bP9zf3m/fz+D/4h/jH+Qv5U/mn+gv6g/sP+6v8W/0b/ef+t/+MAGABOAIQAugDyASsBZwGlAeYCKwJxArgDAANHA4sDzAQIBD8EcQSdBMQE5wUGBSIFOwVTBWoFgAWWBasFwAXTBeYF9wYGBhMGHQYmBi0GMgY2BjoGPwZEBksGVQZiBnIGhgaeBroG2Qb7Bx8HRAdqB44HsAfPB+gH/AgJCA4IDAgBB+8H1ge4B5YHcwdRBzIHGAcFBvsG+gcDBxUHMAdRB3cHoAfLB/UIHQhECGcIhwilCMII3gj7CRkJOgldCYIJqgnVCgEKLgpbCogKtArfCwkLMgtZC4ALpQvKC+4MEgw1DFYMdwyVDLIMzAzkDPkNDA0cDSsNOQ1GDVQNYQ1vDX4Njw2fDbANwg3TDeUN9Q4FDhUOIw4yDkAOTQ5bDmgOdQ6CDo4Omg6kDq0OtA67DsEOxg7LDtEO2A7hDuwO+Q8JDxwPMg9LD2YPgw+iD8MP5RAIECwQTxBxEJEQsBDMEOYQ/BEQESIRMhFCEVIRYxF1EYoRoBG5EdQR7xIJEiMSOhJNEl0SaBJvEnISchJvEmsSZRJgElsSVhJTElASTxJPElASUhJWElsSYxJsEncShBKREp8SrRK6EsQSzBLSEtUS1RLUEtESzhLMEssSyxLOEtMS2RLiEusS9hMCEw4TGxMoEzcTRxNYE2sTfhORE6QTtBPCE8sT0BPQE8oTvxOvE5sThRNuE1cTQBMsExoTCxL/EvcS8BLsEukS6BLmEuYS5RLjEuES3xLbEtcS0hLMEsUSvhK3ErESqhKmEqISoBKfEqASohKkEqYSqBKpEqgSpRKhEpsSlBKNEoYSfxJ5EnUSchJxEnAScRJxEnASbhJqEmMSWhJOEmcSWhJMEj0SLxIiEhUSChIAEfcR7xHoEeIR3BHXEdIRzhHMEcoRyRHKEcsRzBHOEc4RzRHKEcMRuRGrEZoRhRFvEVYRPREkEQ0Q9hDiEM8QvxCvEKAQkhCDEHMQYhBQED0QKBATD/0P5g/QD7kPoQ+KD3MPWw9DDysPEQ73DtwOvg6gDn4OWg4yDggN2w2qDXgNRA0PDNsMpwx2DEYMGAvsC8ILmQtyC0oLIgr6CtEKqQqAClgKMQoMCekJyAmqCY4JdAlbCUUJLwkaCQUI8gjeCMsIuAilCJEIfQhpCFMIPAgkCAsH8gfZB8AHqAeSB30HawdZB0kHOQcpBxgHBgbyBtwGxQasBpMGegZiBkwGOAYmBhYGCAX6Be0F3wXQBb8FrAWXBYEFaAVPBTYFHQUFBO0E1gTABKsElQR/BGkEUgQ5BCAEBwPuA9UDvQOmA5ADewNoA1UDQwMxAx8DDQL6AucC1QLCArECoQKSAoUCeQJuAmMCWAJMAj4CLQIbAgYB8AHYAcEBqQGTAX8BbgFeAVABQwE2ASkBGwELAPkA5gDTAL8ArgCfAJQAjgCNAJAAmACiAK0AtwC/AMMAwgC7AK0AmgCBAGQARQAkAAP/4//E/6j/jv92/2D/TP86/yn/Gf8K/vz+8P7k/tr+0f7J/sL+vP63/rH+rP6n/qH+m/6W/pD+i/6F/oD+fP53/nP+bv5o/mH+Wv5R/kj+Pf4z/ij+Hf4T/gr+Af36/fT97/3q/eb94v3e/dj90v3L/cL9uP2u/aL9lv2J/X39cf1k/Vn9Tv1D/Tn9L/0m/Rz9E/0J/QD89/zu/Ob83/zZ/NT80PzO/M38zPzN/M38zvzO/M38y/zI/ML8vPyz/Kn8n/yT/If8e/xw/GX8W/xS/En8Qfw6/DP8LPwl/B78FvwO/Ab7//v4+/H77Pvn++T74fvg+9/73/vg++D74fvh++P75Pvl++f76vvu+/L79/v8/AL8CPwP/BX8HPwi/Cj8Lvwy/DX8N/w2/DL8LPwi/Bb8Bvv1++H7zfu6+6j7mPuL+4H7e/t4+3j7evt++4T7ivuR+5j7nvul+637tPu7+8L7yPvO+9H70vvR+8z7xvu9+7L7qPud+5X7j/uN+477lPud+6n7t/vH+9f75/v1/AL8DvwX/B/8Jvwr/DD8Nfw7/EH8R/xP/Ff8YPxp/HT8fvyK/JX8oPyr/LX8wPzJ/NH82fzf/OX86/zw/Pb8+/0B/Qj9D/0W/R39Jf0t/TX9PP1E/Uz9VP1d/Wb9cP17/Yb9kf2d/af9sf26/cH9xv3K/cz9zv3Q/dL91f3Z/d795f3t/fb9//4I/hD+Fv4b/h7+H/4g/iD+If4j/ib+K/4y/jv+Rf5R/lz+aP50/n7+h/6Q/pf+nv6l/qz+sv65/sD+x/7O/tX+3P7i/uj+7v70/vv/Av8K/xP/HP8l/y7/N/8+/0P/R/9K/0z/Tf9O/1D/U/9X/17/Zv9v/3n/g/+N/5X/m/+f/6L/o/+l/6b/qf+u/7X/vv/K/9f/5v/1AAIADgAYAB8AIwAlACQAIgAfABwAGQAYABgAGgAdACEAJwAsADIAOAA9AEIARgBKAE4AUwBYAF8AZwBxAH0AiwCaAKsAvQDQAOMA9gEJARsBLQE9AUwBWQFlAW0BcwF2AXQBbgFjAVMBPgEmAQoA7ADNAK8AkwB6AGYAVwBNAEgARwBKAE8AVQBaAGAAYwBlAGQAYgBfAFwAWABVAFMAUwBUAFYAWgBeAGQAagBxAHcAfQCEAIkAjgCSAJQAlgCVAJQAkQCOAIoAhgCDAIAAfwB/AIAAgwCGAIoAjQCPAJAAkACOAIwAiACEAIEAfgB9AHwAfQB/AIIAhQCIAIoAiwCKAIkAhgCCAH4AegB2AHMAcQBwAHAAcQBzAHYAeQB8AIAAgwCHAIsAjwCSAJUAmACZAJgAlgCTAI0AhgB+AHUAbQBkAF0AVwBSAE8ATgBOAE4ATwBPAFAATwBPAE8ATwBQAFMAWQBhAGsAeACHAJYApgC0AMEAygDQANIA0ADJAL8AsQCiAJEAgABvAF8AUQBFADsANAAvACsAKQApACgAJgAkACAAGgARAAX/9//l/9H/u/+i/4j/bf9Q/zP/Ff72/tj+uf6b/n/+ZP5L/jX+Iv4T/gf9//35/fb99P3y/e/96/3j/dn9zP28/av9mf2H/Xf9aP1d/VX9UP1N/U39Tv1Q/VH9Uf1P/U39Sf1E/T/9PP06/Tv9QP1I/VT9Zf14/Y79pv2+/db97f4A/hH+Hf4k/ib+JP4c/hH+Af3v/dv9xf2w/Zr9hv1z/WH9Uf1D/TX9Kf0d/RH9Bfz5/O384vzW/Mv8wPy2/Kz8ofyX/I38gvx2/Gr8XvxR/EX8O/wx/Cn8JPwh/B/8IPwj/Cb8K/wv/DX8O/xC/Ez8WPxp/H78mPy4/Nz9BP0t/Vb9fv2g/bz9z/3Y/df9zf25/Z39ff1Y/TP9Dvzr/M38svyc/Iv8fvx1/G78avxo/Gb8Zvxm/Gb8Z/xn/Gb8Zfxi/F38VvxM/ED8Mvwh/A/7/fvq+9j7yPu6+637ovuY+477g/t1+2b7Uvs7+yH7A/rj+sL6oPqA+mL6R/ow+hv6Cfn6+e354PnT+cb5t/mo+Zn5ivl8+W/5Y/la+VP5TflJ+Ub5Qvk++Tn5M/kt+Sb5IPka+Rb5E/kT+RT5F/kb+R75Ifkj+SP5Ivkf+Rz5GfkW+Rb5GPkc+SP5Lfk6+Uj5WPlp+Xv5jfmh+bb5zfnm+gH6Hvo7+ln6dvqR+qn6vPrL+tb63frh+uT66Pru+vf7BfsX+y37Rvti+377mvuz+8r73vvt+/r8BPwL/BL8F/wb/B78Ifwi/CL8IPwd/Br8FvwU/BP8Fvwd/Cj8N/xJ/F38cfyE/JP8n/ym/Kn8qPyk/KH8n/yh/Kr8ufzP/Oz9Dv0z/Vr9gP2j/cH92v3u/f3+Cv4W/iX+N/5Q/m/+l/7G/vz/N/92/7b/9gA0AHAAqQDeARIBRAF3AasB4QIbAlgCmALcAyADZQOpA+oEJwReBJAEugTfBP0FFwUsBT4FTwVeBW4FfgWOBaAFsQXCBdIF4AXtBfgGAAYIBg4GFQYdBiYGMwZDBlgGcAaNBq4G0gb5ByMHTgd5B6UHzwf4CB4IQAhdCHIIgAiGCIEIcghZCDgIDwfiB7IHhAdZBzUHGgcKBwYHDgcgBzwHXweHB7MH3wgLCDQIXAiACKMIwwjkCQUJJwlLCXEJmgnECfEKHwpNCnsKqQrXCwMLLgtYC4ELqQvRC/cMHQxCDGUMhgymDMQM3wz4DQ8NIw01DUYNVg1lDXQNgw2SDaINsg3CDdIN4g3xDf8ODQ4bDigONA5BDk8OXQ5sDnwOjQ6eDq8Ovw7ODtwO6A7yDvsPAg8JDxEPGQ8kDzIPQw9YD3EPjQ+tD9AP9hAeEEYQbxCYEL8Q5BEHESYRQRFYEWoReBGDEYsRkRGXEZ4RpxG0EcUR2RHyEg4SKxJIEmQSfRKREp8SpxKpEqYSnhKTEocSexJxEmkSZhJlEmkSbxJ4EoMSjxKbEqYSsRK8EsUSzhLWEt4S5RLsEvMS+hMBEwgTEBMYEyETKhM0Ez4TSBNRE1kTYRNnE2sTbxNyE3YTehOAE4kTlROjE7QTxxPaE+0T/RQJFA8UEBQJE/0T6hPTE7kTnROCE2gTURM+Ey4TIxMbExUTEhMQEw8TDhMNEwsTChMIEwYTBBMDEwETABL+EvwS+RL2EvIS7RLpEuQS4BLcEtoS2BLXEtYS1xLXEtcS1xLVEtMS0BLMEscSwhK9ErgSsxKvEqoSphKiEp4SmBKREokSfxJ0EokSgBJ3Em8SaBJiEl0SWRJWElMSURJPEkwSSRJFEj8SOBIwEicSHhITEgkR/hH0EekR3hHSEcQRthGlEZMRgBFsEVYRQREsERkRBhD1EOYQ1xDKEL0QrxCiEJMQgxByEGAQTBA4ECMQDg/4D+EPyQ+xD5gPfg9jD0cPKQ8KDuoOxw6hDngOTA4dDeoNtA17DUENBgzMDJMMXQwrC/0L0wutC4oLaQtJCygLBgriCr0KlgpuCkYKHgn4CdUJswmVCXoJYQlJCTQJHwkKCPUI4QjMCLcIogiMCHcIYQhMCDYIHwgJB/EH2gfDB6wHlgeBB20HWgdHBzUHIgcOBvkG4wbMBrQGmwaCBmkGUwY+BiwGHAYPBgQF+gXxBecF3AXQBcEFrwWbBYUFbQVUBToFHwUFBOsE0gS5BKAEiARvBFYEPQQkBAsD8gPZA8EDqgOUA38DawNYA0UDMwMhAw8C/ALqAtcCxAKyAqACjwJ/AnACYwJWAkkCPAIuAh8CDgH7AeYB0AG5AaIBiwF1AWEBTgE9AS0BHwEQAQIA8gDiANEAvwCtAJ0AjwCFAH8AfgCCAIoAlgCkALEAvADEAMYAwQC1AKIAiABpAEcAIv/9/9n/uP+Z/33/Zf9Q/z3/LP8d/w7/AP7z/uf+2/7R/sf+wP65/rT+sP6s/qj+pP6f/pn+kv6L/oT+fP51/m7+Z/5h/lv+Vf5P/kf+P/42/iz+IP4U/gf9+v3u/eP92v3R/cv9xf3B/b39uv22/bH9q/2k/Zv9kf2H/Xv9cP1k/Vr9T/1G/T39Nf0s/ST9G/0S/Qj8/vzy/Of83fzS/Mr8wvy9/Ln8uPy4/Ln8vPzA/MP8xvzJ/Mr8yvzI/MX8v/y4/K78o/yW/Ij8evxq/Fv8TPw+/DH8Jfwb/BH8CfwB+/r78vvq++L72vvS+8v7xPu++7n7tvu1+7X7t/u5+737wPvF+8n7zfvS+9f73fvj++v78/v7/AX8DvwW/B78Jfwq/C38Lfwr/Cb8H/wU/Af7+Pvm+9L7vfuo+5L7fvts+177UvtL+0j7SvtP+1f7Yftt+3n7hfuQ+5r7ovuo+637r/uw+7D7rfup+6P7m/uS+4f7e/tw+2X7XPtW+1P7VPta+2X7c/uF+5j7rfvB+9P75Pvy+/38BfwK/A38DvwP/A/8EPwS/BX8Gvwg/Cj8Mfw7/Ef8U/xg/G38evyH/JL8nfym/K78tPy5/L78wfzE/Mj8y/zP/NT82vzh/Oj88Pz5/QH9Cv0T/R39Jv0w/Tv9R/1T/V/9bP15/YT9j/2Y/aD9pf2p/ar9qv2q/an9qf2q/az9sf22/b79xv3P/df93/3l/er97f3u/e/97/3v/fD98/33/f3+Bf4P/hv+J/40/kH+Tv5c/mj+df6B/o3+mP6j/q7+t/6//sX+y/7P/tL+1f7Y/tz+4P7m/u3+9v7//wn/Ev8b/yL/Kf8t/zH/M/82/zn/Pv9E/03/V/9i/2//fP+I/5P/m/+i/6b/qP+p/6r/q/+t/7H/tv++/8f/0f/b/+T/7f/0//n//QAAAAEAAwAFAAcACgAOABMAGAAdACMAKAAsADAAMwA1ADgAOwA/AEQASgBRAFsAZgByAH8AjACaAKkAtwDFANMA4ADuAPwBCwEZASgBNgFDAU8BWQFfAWEBXgFWAUkBNwEgAQYA6QDMALEAlwCCAHEAZgBfAF0AXgBhAGUAagBtAG4AbQBqAGYAYABZAFMATgBKAEcARwBIAEoATgBTAFgAXwBlAGwAcwB7AIIAiACOAJIAlQCXAJYAlACQAIwAhwCDAIAAfgB/AIAAhACIAI0AkgCWAJkAmgCZAJgAlQCSAI8AjACLAIoAiwCMAI0AjgCOAI0AiwCIAIUAgAB8AHgAdQBzAHIAcwB1AHgAewB+AIEAhQCHAIoAjACOAJEAlACWAJkAmgCaAJkAlQCPAIYAewBuAGAAUQBDADYAKgAhABoAFQASABAAEAAPAA4ADQAMAAsACgAKAA0AEQAYACIALgA9AEwAWwBpAHUAfwCFAIgAhgCBAHkAbwBjAFYASQA9ADIAKAAgABsAFwAWABYAFwAYABoAGwAaABgAEwALAAD/8v/i/8//uv+k/43/dv9f/0j/Mf8a/wL+6v7Q/rf+nf6D/mr+U/4+/iz+Hf4S/gr+BP3//fr99f3t/eL91f3E/bH9nP2H/XL9X/1O/UH9Nv0u/Sr9Jv0j/SH9Hf0Y/RL9C/0E/P389/z0/PP89/z//Qv9G/0u/UX9XP11/Y39o/23/cf91P3d/eD94P3b/dP9x/24/aj9lv2D/XD9Xv1N/T39L/0i/Rf9Df0E/Pz89fzu/Oj84fza/NP8zPzE/Lv8sfyn/Jv8j/yC/HX8aPxc/FD8Rvw+/Dj8NPwy/DH8Mvw0/Df8Ovw8/ED8RPxK/FH8XPxr/H78lvyz/NP89f0Y/Tr9WP1x/YP9jf2O/Yb9dv1f/UP9I/0C/OL8xPyp/JL8f/xw/Gb8Xvxa/Ff8VvxW/Ff8Wfxc/F/8Yvxm/Gr8bvxw/HH8cPxs/Gb8XfxR/EP8M/wi/BD7/fvr+9j7xvu0+6L7j/t7+2X7Tvs1+xr6/frf+sD6ovqD+mb6Svow+hj6Afnr+db5wvmt+Zj5hPlv+Vv5SPk2+Sf5GfkN+QP4+/jz+O345fje+Nb4zfjF+L34t/iz+LH4svi2+Lz4wvjK+ND41PjW+NT40PjJ+MH4ufiy+K34q/it+LT4vvjM+Nz47/kD+Rj5LvlF+V35dvmS+bD5z/nv+hD6L/pM+mX6evqK+pX6nPqh+qT6qfqv+rr6yfre+vj7Ffs2+1f7ePuX+7L7yvvd++37+fwB/Aj8DPwP/BD8EfwP/A38CvwG/AL7//v//AP8CvwX/Cf8PPxT/Gr8gPyT/J/8pvyl/J38kfyC/HP8Zvxg/GL8bvyF/KX8zvz8/S79YP2P/bj93P34/g/+IP4w/kD+VP5t/o7+uf7s/yf/av+w//gAPwCEAMIA+gEsAVYBfAGeAb4B3wIDAisCWQKNAscDBgNIA4sDzgQNBEgEfQSqBNAE7wUHBRsFKgU3BUQFUQVfBW0FfQWNBZwFqgW2BcAFxwXNBdEF1gXbBeMF7gX+BhIGKwZJBmsGkAa4BuQHEQdAB3EHpAfYCA0IQQh0CKIIyQjnCPoI/wj2CN4IuAiGCEoICgfIB4oHVAcoBwoG+gb6BwgHIQdFB28HngfPB/4ILAhYCIAIpwjLCO8JEwk4CV8JiAmyCd8KDQo8CmwKnArLCvoLKAtUC38LqgvTC/sMIwxJDG4Mkgy1DNYM9g0UDTANSw1kDXoNjw2iDbMNww3SDd8N7A34DgMODg4YDiEOKw40Dj4OSQ5VDmIOcQ6CDpUOqQ6+DtQO6g8ADxQPJg83D0YPUw9gD2wPeg+JD5oPrg/GD+EP/xAhEEUQaxCSELoQ4hEIES0RUBFwEYwRpRG5EcoR1hHfEeUR6hHuEfQR+xIHEhYSKhJCEl0SehKWErESxxLYEuES4hLcEtASvhKqEpUSghJzEmkSZhJqEnQShBKYEq0SwxLYEuoS+BMCEwkTDBMMEwsTChMKEwsTDxMWEyATLhM9E08TYhN1E4cTlhOkE64TtBO3E7gTtxO1E7MTtBO3E78TyhPaE+wUARQVFCgUNxRBFEUUQRQ2FCQUDRPyE9UTtxOcE4MTbxNfE1MTSxNHE0UTQxNCE0ETQBM9EzoTOBM1EzMTMhMzEzQTNhM4EzsTPRM+Ez4TPBM5EzUTLxMqEyQTHhMZExUTEhMQEw8TDxMPEw8TDxMOEwwTCRMEEv4S9xLvEuYS3BLSEscSvRKyEqgSnRKTEscSwxLAEr0SuxK4ErYSsxKxEq4SqhKmEqESmhKSEogSfBJuEl4STRI7EikSFxIGEfUR5RHVEcYRtxGnEZYRhRFzEWARTRE7ESkRGBEIEPgQ6hDcEM4QwBCyEKMQlBCEEHUQZBBUEEMQMhAgEAwP9w/fD8QPpg+GD2IPPA8TDugOuw6MDlsOKA3yDbsNgQ1HDQwM0QyZDGQMMgwGC94LuwudC4ELZwtNCzILFArzCs4Kpgp8ClEKJQn7CdIJrQmKCWsJTwk1CR0JBgjwCNoIxAiuCJgIgghsCFYIPwgpCBIH+gfiB8oHsgeaB4IHawdVB0AHLAcZBwYG9AbhBs0GuQalBpAGewZnBlMGQQYxBiMGFgYLBgAF9gXrBeAF0wXFBbYFpQWSBX4FaAVSBToFIgUIBO4E0wS4BJwEgARkBEgELQQSA/kD4APJA7MDnQOJA3QDYQNNAzoDJwMUAwEC7gLbAskCtwKlApQCgwJ0AmUCVgJIAjkCKgIaAgkB9gHhAcsBswGbAYIBagFTAT0BKQEYAQgA+gDtAOAA1ADIALwAsQCmAJwAlACPAI0AjwCUAJsApACtALUAuQC5ALMApwCUAHsAXAA5ABT/7//K/6f/h/9r/1P/Pv8s/xz/Dv8B/vX+6f7d/tL+yP6//rf+sf6s/qj+pP6h/pz+l/6R/on+gP52/mv+Yf5X/k7+Rv4//jn+M/4t/ib+Hv4V/gv9//3y/eT91v3J/b39sv2p/aL9nP2Y/ZT9kf2N/Yj9gv16/XH9aP1d/VL9SP0//Tf9MP0q/SX9If0d/Rf9Ef0K/QH89/zs/OD81PzJ/L/8tvyv/Kn8pfyj/KL8ofyh/KH8ofyh/KH8oPyf/J38mvyW/JD8ifyA/HT8ZvxX/Ef8Nvwl/BX8B/v6++/75fvd+9X7zvvH+8D7uPuv+6f7n/uZ+5T7kfuQ+5L7lfua+6D7pvus+7L7t/u8+8H7xvvM+9P73Pvl++/7+PwB/Aj8DPwN/Ar8BPv5++z72/vH+7P7nfuH+3L7XvtL+zz7L/sl+x/7Hfsf+yT7Lfs5+0b7Vftj+3D7fPuF+4v7jvuO+4z7hvt/+3b7a/tg+1P7R/s7+y/7Jfsd+xf7FfsX+xz7J/s1+0f7W/ty+4j7n/uz+8b71fvg++n77/vy+/P79Pv0+/P79Pv1+/f7+/wA/Af8DvwY/CL8Lvw7/Ej8Vvxj/HD8ffyH/JD8mPyd/KH8pPyl/Kf8qPyp/Kz8r/y0/Lr8wPzI/NH82vzj/O389/0B/Qz9F/0i/S39Of1F/VD9XP1m/W/9d/19/YH9hP2F/YX9hP2E/YT9hf2H/Yv9kP2W/Z39pP2r/bH9tv26/b39v/3B/cP9xf3I/cz90v3a/eP97v36/gj+Fv4m/jb+Rv5X/mj+ef6J/pj+pv6y/rv+w/7I/sv+zf7O/tD+0f7U/tn+3/7m/u7+9/7//wf/Dv8U/xn/Hv8j/yj/Lv83/0H/Tf9b/2r/eP+G/5L/nP+k/6n/rP+t/67/rv+v/7L/tv+7/8H/yP/P/9X/2v/e/+D/4v/j/+T/5f/o/+z/8v/5AAEACQARABkAIAAmACoALgAxADQANwA7AEAARgBOAFcAYQBsAHYAgACJAJIAmQCgAKYArACzALoAwwDMANgA5ADxAP4BCQESARgBGgEXAQ8BAwDyAN8AygC1AKEAkACDAHoAdQB1AHgAfACCAIcAigCLAIoAhQB/AHYAbgBlAF0AVwBSAFAATwBPAFEAVABXAFsAYABlAGsAcQB5AIAAiACQAJYAmgCdAJ4AnACYAJMAjgCIAIQAgQCAAIEAhACIAI0AkQCVAJgAmQCYAJYAlACRAI4AjACKAIoAigCKAIsAiwCKAIkAhgCDAH8AewB4AHUAdAB0AHYAeQB8AIAAhACIAIsAjQCPAJAAkQCSAJQAlgCXAJkAmgCaAJgAlACMAIIAdQBmAFUARAAzACQAFgALAAL//P/4//b/9f/0//P/8f/v/+3/6v/p/+j/6f/s//L/+QADAA0AFwAhACkALwAzADQAMwAvACoAJAAdABYADwAJAAUAAf/+//3//P/9//4AAAACAAQABAAEAAL//f/3/+7/4//W/8j/uv+s/5//kv+H/3z/cv9n/1v/TP86/yX/Df7y/tX+tv6Z/nz+Y/5M/jn+Kv4d/hL+B/38/fD94P3P/bv9pf2O/Xf9Yf1N/Tz9Lf0i/Rn9Ef0L/QT8/vz3/O/85vze/Nb8z/zL/Mr8zPzS/Nv86Pz3/Qj9G/0u/UD9Uf1h/W79eP1//YT9hf2D/X/9eP1v/WT9WP1L/T39MP0j/Rf9DP0C/Pr88/zt/Oj84/zf/Nv81/zT/M78yfzD/Lz8tfyt/KT8mvyP/IT8evxv/GX8XPxV/FD8TPxK/Er8TPxO/FL8Vvxa/F/8Zfxr/HP8fvyM/Jz8sPzH/OD8+v0U/S39Qf1R/Vv9Xf1Y/Uv9OP0g/QT85fzG/Kj8jPxz/F/8TvxB/Dj8Mvwv/C/8MPwz/Dn8P/xH/FD8Wfxj/G38dvx9/IL8hfyF/IL8e/xx/GT8VPxC/C38Fvv+++X7y/ux+5b7fPtj+0n7MPsX+v765frL+rL6mPp++mP6SPou+hT5+fnf+cX5qvmQ+Xb5XPlD+Sr5E/j9+Oj41vjF+Lb4qfid+JL4h/h8+HP4avhi+Fv4V/hW+Ff4W/hh+Gn4cfh4+H34f/h++Hn4cvho+F34U/hL+Ef4R/hN+Fj4aPh7+JL4qvjD+Nz49fkN+Sb5QPlc+Xj5l/m3+df59voT+i36Q/pU+mD6Z/ps+nD6dfp8+of6l/qs+sb65fsG+yn7Svtp+4X7nPuu+7v7xfvL+8770PvQ+8/7zfvL+8j7xfvD+8H7wfvD+8n70/vh+/L8Bvwb/DD8Q/xQ/Fn8WvxV/Er8O/wr/Bv8EPwL/BD8IPw7/GH8kPzF/P/9OP1v/aH9zP3v/gv+Iv40/kX+WP5w/o7+tf7m/x//YP+n//AAOgCBAMIA/AEsAVQBcwGMAaABsgHGAd0B+gIfAk0CgwLBAwQDSwOTA9kEGgRVBIkEtATWBPIFBwUYBSYFMgU+BUoFVgViBW4FeQWCBYgFjQWQBZMFlQWaBaAFqwW6Bc0F5AX/Bh0GPQZfBoMGqQbRBv4HLwdlB6AH4AgjCGcIqAjiCRIJMwlECUIJLQkFCM8IjghGB/0HuQd+B08HMAciByMHNAdQB3UHoQfPB/0IKghUCHoIngi/CN8I/wkhCUQJaQmSCb0J6wocCk4KgQq0CugLGgtLC3sLqQvWDAEMKwxUDH0MpQzMDPMNGg1ADWQNhw2oDcUN3w31DggOFg4iDioOMQ42DjoOPg5DDkgOTw5YDmIObg59Do0OoA60DsoO4g77DxQPLg9HD18Pdg+LD58PsQ/BD9IP4g/yEAUQGRAvEEgQZBCBEKEQwhDlEQgRKxFOEXARkRGxEc8R6hIDEhgSKxI6EkYSUBJZEmESahJ1EoISkRKkErgSzhLjEvYTBRMOExATCxL+EusS1BK6EqESjBJ9EnUSdhKAEpISqxLJEugTBRMgEzUTQxNLE0wTRxM+EzQTKRMhExwTHBMiEy0TPBNPE2UTfBOSE6YTtxPFE88T1RPYE9kT2RPaE9wT4RPqE/cUCBQcFDIUSBRcFG0UeBR8FHoUbxReFEcUKxQOE/AT0xO6E6QTlBOIE4ATfBN7E3sTexN8E3sTehN4E3YTcxNxE3ATcBNxE3MTdxN7E38TghOFE4cTiBOHE4UTgRN8E3UTbhNnE2ATWhNVE1ATTRNKE0gTRhNEE0ITPhM5EzMTKhMhExYTCxMAEvQS6hLhEtgS0RLMExwTHBMaExgTFBMOEwcS/xL1EusS4BLVEskSvRKwEqESkhKBEm8SXBJJEjYSJBISEgIR8hHjEdURxxG4EakRmBGHEXQRYRFNETkRJhETEQAQ7hDcEMsQuhCpEJkQihB8EG8QZBBaEFEQRxA9EDAQHxAKD+4PzQ+lD3gPRg8RDtkOoA5nDi8N9w3BDYwNWQ0mDPUMxQyYDG4MRwwkDAUL6QvQC7gLoAuHC2wLTAsoCwAK0wqjCnIKQAoPCeAJtAmMCWcJRgknCQsI8QjYCMEIqQiTCH0IZghQCDoIIggKB/EH1we7B54HggdlB0kHLwcXBwAG7AbaBsoGuwatBp8GkgaGBnkGbQZhBlUGSQY9BjEGJQYYBgkF+QXnBdUFwQWtBZgFhAVwBVwFSQU1BSEFDAT1BN0EwgSmBIkEbAROBDEEFgP9A+UD0AO8A6kDlwOFA3MDYANMAzgDJAMPAvsC5wLTAsECrwKeAo8CfwJxAmICVAJFAjYCJQITAf8B6gHTAbsBogGHAW0BVAE7ASUBEQEAAPEA5QDcANUAzwDLAMcAxADBAL8AvQC8ALwAvAC9AL4AvgC8ALcArgChAI8AeQBeAD8AHP/5/9X/sv+R/3T/Wv9D/zD/IP8S/wX++f7u/uL+1/7M/sH+t/6u/qf+of6b/pf+kv6N/of+f/53/mz+Yf5V/kn+Pf4y/in+If4a/hX+D/4K/gT9/f30/en93f3Q/cL9tP2m/Zr9j/2G/X/9ef11/XD9bP1n/WL9W/1S/Un9QP02/S39Jf0f/Rr9GP0W/Rb9Fv0W/RX9E/0O/Qf8/vzz/Of82/zP/MP8uPyu/KT8nPyU/Iz8hfx9/Hb8bvxo/GP8X/xd/Fz8XPxc/F38XPxZ/FP8Svw+/DD8H/wO+/z76/vc+8/7xPu6+7L7qvuj+5v7k/uK+4H7eftz+277bftu+3L7ePuA+4j7kPuX+537oPui+6P7o/uk+6X7qPus+7D7tfu5+7z7u/u4+7H7pfuX+4b7c/tf+0z7Ovsq+xz7EvsK+wX7A/sE+wf7DPsU+x37KPs0+0H7TftY+2H7aPtr+2v7Z/tf+1X7SPs5+yr7GvsL+v768vro+uH63frd+uD65/rx+v/7EPsk+zn7T/tm+3z7kPuh+7H7vvvI+9D71vvb+9/74/vm++r77fvx+/T7+Pv7+//8BPwJ/A/8Fvwf/Cn8M/w//Er8Vfxg/Gn8cfx3/Hv8fvyA/ID8gPyB/IH8g/yG/Ir8kPyY/KD8qvy0/L/8yvzV/N/86fzy/Pv9BP0N/Rb9IP0p/TP9PP1F/U39VP1a/V39YP1g/WH9YP1g/WH9Yv1m/Wr9cP12/X79hf2M/ZP9mf2e/aL9pv2q/a79s/25/cH9yf3U/d/97P37/gv+HP4u/kD+U/5m/nj+if6Z/qb+sf66/sD+xf7H/sn+y/7N/tH+1f7b/uH+6f7x/vj+//8G/wz/Ef8X/x3/Jf8u/zn/Rf9T/2H/cP9+/4v/lf+d/6P/qP+r/67/sP+0/7r/wP/H/8//1//e/+T/5//o/+j/5f/i/9//3P/b/9z/3//l/+z/9f//AAkAEgAaACIAKAAuADMANwA8AEEARwBOAFYAXQBlAGwAcwB5AH0AgACDAIUAhwCKAI4AlACbAKQArwC7AMgA1ADeAOYA6gDpAOQA2wDOAL4ArQCcAI0AgAB4AHUAdQB6AIEAiwCUAJ0AowCmAKcApACfAJgAkACIAIEAewB2AHIAcABuAG0AbQBtAG0AbgBxAHQAegCAAIgAkQCZAKAApgCqAKsAqQClAKAAmQCTAI4AigCHAIcAiACKAI0AkACSAJMAkgCRAI4AigCHAIQAggCBAIEAggCDAIUAhwCIAIgAiACHAIYAhQCEAIQAhACGAIgAigCNAI8AkgCUAJUAlgCXAJgAmQCaAJsAnQCeAJ8AngCcAJgAkgCIAHwAbgBeAEwAOwArABwADwAF////+v/4//j/+P/4//j/9v/0//D/6//n/+L/3v/c/9v/2//d/+D/5P/n/+r/6//s/+z/6v/p/+f/5v/k/+T/5f/m/+f/6f/r/+3/7//w//D/8f/w/+//7v/s/+j/5P/e/9f/0P/I/8D/uv+1/7H/sf+y/7X/uP+7/7v/uP+w/6L/j/92/1n/OP8V/vH+z/6u/pH+d/5g/kz+Of4m/hL9/v3n/c/9tf2b/YH9af1S/T79LP0e/RH9B/z+/PX87fzk/Nz80/zK/MP8vfy4/LX8tfy4/L38w/zL/NX83/zp/PT8/v0H/RD9F/0e/SL9Jv0o/Sj9J/0k/SD9Gv0U/Q39Bvz//Pj88fzr/Ob84fzd/Nn81vzS/ND8zfzK/Mj8xfzD/MD8vfy5/LX8r/yp/KH8mfyQ/If8fvx2/HD8a/xo/Gf8afxt/HP8e/yD/I38l/yi/K78u/zJ/Nj86fz7/Q39IP0x/UD9TP1T/VT9Tv1C/TD9GPz7/Nv8uvyZ/Hn8W/xB/Cv8GfwL/AL7/fv8+//8BfwN/Bn8Jvw2/Eb8Vvxm/HX8gvyM/JP8l/yW/JL8ifx9/G78WvxE/Cv8EPvz+9X7tvuX+3n7XPtB+yf7D/r5+uT60Pq7+qb6kPp5+mD6Rfop+gz57/nR+bP5lfl3+Vr5Pfkh+QX46vjR+Ln4oviO+Hv4avhc+E/4RPg6+DL4LPgn+CT4I/gk+Cf4K/gx+Db4O/g++D74Ovgz+Cn4HPgO+AH39ffu9+z38Pf6+Av4Ifg8+Fn4dviU+LD4y/jk+P35FPkt+Uf5Yvl/+Zz5ufnV+e76BPoU+iH6Kfov+jP6OPo/+kr6Wfpu+of6pfrF+ub7Bfsi+zv7T/te+2f7bPtu+237avtm+2H7XftZ+1X7U/tR+1L7VPtY+1/7aft2+4T7lPuk+7L7vvvG+8r7yfvE+7v7sfun+6H7n/ul+7P7zPvv/Bv8TvyH/ML8/v02/Wj9k/22/dD94/3x/fr+BP4P/iD+OP5Y/oL+tf7w/zH/dv+7//8APQB1AKUAzQDtAQcBHQEyAUkBZAGGAbEB5QIiAmcCsgMAA08DnAPkBCUEXgSNBLQE0wTqBP0FCwUXBSEFKgUzBToFQQVHBUsFTwVSBVYFXAVkBW8FfgWRBacFvwXZBfQGDgYnBj8GVwZxBo4GsQbbBw4HSgeOB9gIJQhxCLcI8gkfCToJQgk2CRkI7Qi4CH4IRQgRB+YHyQe5B7YHwQfVB/EIEgg0CFYIdgiSCKsIwgjXCOwJAwkcCTgJWQl/CaoJ2QoMCkIKewq0Cu4LJwteC5QLxwv3DCUMUgx9DKcM0Qz7DSUNUA17DaUNzQ3xDhIOLg5EDlQOXw5kDmYOZQ5jDmEOYA5iDmcObw58DosOnQ6yDsgO4A75DxIPLA9GD2APeg+TD6wPww/ZD+4QARATECQQNBBEEFUQZxB6EJAQqBDCEN8Q/REdET8RYhGFEakRzBHvEhISMxJSEm4ShxKdEq8SvRLIEtAS1hLcEuES5xLvEvkTBBMQExwTJRMrEy0TKRMfExES/xLsEtoSzBLDEsISyhLbEvMTERMxE1ITcBOIE5kToROhE5kTixN7E2kTWRNOE0gTSRNRE18TchOIE6ATtxPNE98T7RP4E/4UAhQFFAYUCRQPFBcUIxQyFEUUWhRvFIQUlxSlFK4UsBSrFJ8UjRR2FFsUPxQiFAcT7xPbE8wTwRO6E7YTtRO2E7gTuhO8E70TvhO/E78TwBPAE8ATwRPCE8MTxBPGE8cTyRPKE8sTzBPME8sTyhPHE8MTvhO3E7ATqBOfE5YTjhOGE38TeBNyE20TZxNhE1oTUxNLE0MTOxMzEywTJhMiEx8THhMdE2oTaBNjE1wTUxNHEzgTKBMYEwcS9hLlEtYSxhK4EqkSmhKKEnkSaBJWEkQSMxIiEhISAhHzEeQR1RHFEbQRoRGNEXgRYhFMETURHxEKEPUQ4BDMELgQpBCREH8QbxBgEFUQTRBIEEYQRBBCED0QMxAiEAgP5g+7D4cPTQ8ODs0OjA5ODhMN3Q2rDX4NVg0wDQ0M7AzNDK8Mkgx2DFwMQgwpDA8L8wvVC7MLjQtiCzMLAQrMCpUKXwopCfcJyAmcCXQJTwkuCQ8I8gjWCLwIowiMCHQIXghHCDAIFwf+B+IHxQemB4YHZQdFBycHCwbxBtsGyAa4BqsGoAaXBo8GhwaABnkGcgZrBmQGWwZSBkYGNwYmBhIF+wXhBcYFqgWOBXMFWgVDBS4FGgUIBPYE4wTOBLcEngSCBGYESQQsBBED+APiA84DvQOuA6ADkgODA3MDYgNPAzoDJQMPAvkC4wLPArwCqgKaAosCfQJvAmICVAJGAjYCJQISAf4B6AHQAbcBnQGCAWcBTQE0AR0BCgD5AOwA4gDcANgA1wDYANoA3ADgAOMA5QDmAOYA5ADfANgAzgDAAK4AmAB+AGAAPwAd//n/1f+z/5L/df9b/0b/M/8k/xj/Df8C/vj+7v7i/tb+yf68/q/+o/6Y/o7+hf59/nb+b/5o/mD+V/5M/kH+Nv4q/h7+FP4K/gL9+/31/fD96/3l/d/91/3N/cP9t/2r/Z79kv2G/Xz9c/1r/WX9X/1a/VT9T/1I/UH9OP0w/Sb9Hf0W/Q/9Cv0I/Qj9Cf0M/RD9FP0X/Rn9GP0V/Q/9B/z8/PD84/zV/Mj8uvyu/KH8lfyJ/Hz8b/xi/FT8SPw9/DP8Lfwp/Cn8K/wv/DP8N/w4/Df8Mvwp/Bz8DPv6++f71PvD+7P7pvub+5H7ifuB+3n7cfto+2D7WftU+1L7UvtW+177Z/ty+337h/uO+5L7kvuP+4n7gft4+2/7Z/tg+1v7VvtS+037Rvs/+zX7Kfsd+xH7Bfr7+vT67/ru+vD69Pr6+wH7CPsQ+xf7Hfsj+yn7MPs2+zz7QvtH+0r7SvtI+0H7N/sq+xr7CPr1+uL60frD+rf6sPqs+q36svq7+sj62Prq+v/7Ffsr+0L7WPtt+4D7kfug+6z7tvu/+8f7zvvV+9z74/vq+/H7+Pv+/AP8BvwJ/Av8DPwN/A78EPwS/Bb8G/wg/Cf8Lfw0/Dr8QPxF/Er8TvxR/FT8VvxY/Fv8Xvxi/Gf8bvx2/H/8ifyU/KD8rPy3/MH8y/zT/Nr84Pzm/Oz88/z7/QT9Dv0Y/SP9Lv03/T/9Rv1K/Uz9Tf1N/Uz9S/1M/U39Uf1W/Vz9ZP1s/XT9fP2D/Yr9kP2V/Zv9oP2m/a39tf2+/cj90/3f/e39+/4L/hv+LP4+/lD+Yv5z/oL+kf6d/qj+sP63/rz+wf7F/sr+z/7V/tv+4v7q/vH++f7//wX/C/8R/xf/Hf8l/y//Ov9G/1P/YP9s/3f/gv+K/5H/l/+c/6H/qP+v/7j/wv/O/9r/5f/v//b/+//8//r/9f/v/+j/4f/c/9n/2P/b/+H/6f/y//0ACAATABwAJQAsADIAOAA8AEEARQBKAE8AVQBbAGEAZgBsAHEAdQB5AHwAfwCDAIcAjACTAJsApACuALkAwwDMANMA1gDVANAAxwC6AKsAmwCKAHwAcQBpAGcAaQBvAHkAhACRAJwApgCtALIAtACzALEArgCqAKYAogCfAJsAmACVAJEAjgCKAIcAhQCFAIYAigCQAJcAnwCoALAAtgC6ALsAugC3ALIArQCnAKIAngCbAJoAmgCaAJsAmwCaAJgAlgCSAI4AigCHAIQAggCCAIMAhQCHAIsAjgCSAJYAmgCdAKEApACnAKkAqwCtAK0ArQCtAKwAqgCoAKcApQCkAKQApQCmAKcAqACoAKcApACeAJcAjQCAAHEAYQBPAD4ALAAdABAABf/9//j/9v/2//f/+f/7//v/+//5//X/8P/q/+T/3f/Y/9P/0P/O/8z/zP/M/8v/y//K/8n/yP/H/8f/yP/K/87/0v/Y/93/4//o/+z/7v/w//D/7//t/+v/6P/k/+H/3f/Y/9P/zv/K/8b/xP/E/8b/y//S/9v/5f/v//b/+//7//X/6f/X/7//o/+D/2H/Pv8c/vv+3P6//qP+if5u/lT+OP4c/f794P3D/ab9i/1z/Vz9Sf03/Sj9Gf0M/QD89Pzo/Nz80fzH/L38tvyw/Kv8qPyn/Kf8qPyp/Kz8rvyy/Lb8uvy//MX8y/zR/Nf83Pzh/OX86fzq/Ov86/zq/On85/zl/OL84Pze/Nv82fzX/Nb81PzS/NH80fzR/NH80/zU/Nb81/zY/Nj81vzT/M78x/y+/LX8q/yh/Jj8kfyN/Iz8jvyT/Jv8p/y0/MP80vzj/PT9Bf0W/Sj9Of1K/Vr9af11/X39gf1+/XX9Zf1O/TH9D/zo/MD8l/xw/Ez8K/wQ+/r76vvf+9n72Pvc++P77vv9/A78Ifw1/Er8Xvxx/IL8kPya/J/8oPyd/JT8iPx4/GT8TPwy/Bb79/vX+7f7lvt3+1n7Pfsj+wz69/rl+tP6wfqw+pz6hvpu+lT6N/oZ+fn52Pm3+Zf5d/lY+Tr5HfkA+OP4x/is+JL4evhj+FD4P/gw+CX4G/gU+A/4C/gJ+Aj4CPgJ+Av4DvgR+BP4FPgT+A/4B/f99+733vfM97v3rfej96D3o/et97731vfx+BD4MPhP+G34ifii+Lr40fjo+QD5Gfkz+U/5avmF+Z35svnD+c/52Pne+eP56Pnv+fn6CPob+jP6T/pt+oz6qvrE+tv67fr4+v/7APr9+vf67/rm+tz60/rM+sb6wvrA+sL6xvrN+tf65Pry+wH7EPse+yv7Nfs8+z/7QPs++zv7Ofs4+zz7RftV+2z7jPuz++H8FfxM/IT8u/zu/Rz9Qv1f/XT9gP2F/YT9gP18/Xv9f/2L/aD9v/3p/hz+WP6Z/t3/Iv9m/6X/3gASAEAAaQCPALMA2QECAS8BZAGfAeACKAJ0AsIDEANbA6ID4wQcBE0EdgSYBLIEyATYBOUE7wT3BP0FAQUEBQcFCgUPBRUFHgUrBTwFUQVrBYgFpgXFBeIF/QYTBiYGNgZFBlQGZwaABqIGzQcDB0MHiwfWCCIIaQioCNoI/wkTCRkJEgkBCOkIzwi3CKQIlwiSCJUIngitCL4I0AjhCPAI/AkGCQ0JFAkbCSUJMwlGCV4JfgmkCdAKAgo5CnMKsArvCy0LagulC90MEgxEDHEMnQzGDO4NFQ09DWUNjg24DeAOBw4rDkoOYw52DoIOiA6IDoQOfg53DnEObw5xDngOhQ6WDqsOxA7fDvoPFg8xD0sPZA99D5QPrA/DD9oP8BAHEBwQMRBFEFgQaRB7EIwQnhCyEMcQ3xD6ERgROBFbEYARphHNEfQSGhI/EmQShhKmEsIS3BLxEwITDxMWExoTGhMYExUTEhMRExITFxMeEykTNBNAE0oTUhNWE1YTUxNPE0sTSRNLE1ITXxNzE4wTqBPFE98T9RQDFAgUBRP5E+YT0BO4E6MTlBOLE4sTkxOjE7kT1BPwFAsUIxQ3FEYUUBRVFFgUWBRYFFkUXRRjFG0UehSKFJsUqxS6FMYUzhTQFM0UxBS2FKQUjhR3FGAUSRQ1FCQUFhQMFAUUARP/E/8UABQCFAQUBxQKFA0UEBQTFBcUGxQeFCEUIhQiFCEUHxQbFBcUExQPFAsUCBQGFAUUBBQCFAAT/RP4E/IT6hPhE9cTzRPCE7kTsBOoE6ATmhOUE48TiROEE34TeRN1E3ETbhNtE2wTbBNrE5sTkxOJE30TbxNeE0wTORMmExMTAhLxEuIS1BLHErkSqxKcEosSeRJmElISPhIqEhYSAhHvEdwRyRG0EZ8RiBFxEVkRQhEqERQQ/xDsENkQxxC1EKMQkBB9EGkQVxBHEDsQMhAuEC0QLxAxEDIQLhAjEA8P8Q/ID5UPWg8aDtgOlw5YDh8N7Q3BDZwNew1fDUUNKw0SDPgM3gzBDKQMhgxnDEUMIgv7C9ELpAtzCz8LCQrSCpoKZAoxCgAJ0wmpCYMJXwk+CR4JAAjjCMcIrAiSCHkIYQhKCDIIGggAB+UHyQerB4wHbQdPBzMHGQcDBvAG3wbSBsYGvAayBqgGnwaVBosGgQZ3Bm0GYgZWBkkGOQYmBg8F9gXZBbsFmwV8BV4FQwUqBRME/wTsBNkExQSwBJkEgARkBEgEKwQPA/YD3wPLA7oDrAOgA5QDiQN8A24DXgNMAzgDIwMNAvcC4gLOArsCqgKaAosCfgJwAmQCVwJJAjoCKgIYAgQB7wHXAb4BpAGJAW4BVAE8ASYBEgECAPUA6wDlAOEA3wDgAOMA5gDqAO4A8QDyAPIA7gDnANsAygC0AJkAegBXADEACf/h/7r/lv91/1n/Qv8w/yL/F/8P/wn/A/79/vX+6/7f/tH+wv6x/qD+kP6A/nL+Zf5Z/k/+Rf47/jL+KP4e/hT+Cv4A/fb97v3m/d/92P3S/cz9xf2+/bX9rP2i/Zf9jf2C/Xn9cf1p/WP9Xv1Z/VT9T/1K/UP9O/0y/Sj9Hv0U/Qv9A/z9/Pn8+Pz4/Pv8//0F/Qr9EP0U/Rb9Fv0T/Q79Bfz6/O383/zQ/MH8sfyj/JT8hvx3/Gn8WvxM/D38MPwk/Br8E/wP/A78D/wS/Bf8Gvwc/Bv8FvwN+//77/vc+8j7tPui+5H7hPt5+3D7aPti+1v7VftP+0n7Q/tA+0D7QvtI+1H7XPto+3P7fPuD+4T7gft5+277X/tO+z37LPsc+w36//ry+ub62vrO+sP6ufqx+qz6qvqt+rP6vvrN+t367vr/+w37Gfsi+yj7K/st+y37Lfst+y77L/sw+y/7LPsm+xz7Dvr8+uj60/q9+qr6mfqN+oX6g/qH+pD6nfqv+sP62vry+wz7Jfs++1b7bPuB+5P7o/ux+737x/vP+9f73vvl++z78/v6/AH8B/wN/BH8FPwW/Bj8GPwZ/Bn8GPwY/Bn8Gfwa/Bv8HPwd/B/8Ivwl/Cn8Lvwz/Dr8QfxI/E/8Vvxd/GT8a/xy/Hn8gvyK/JP8nPym/K78tvy+/MT8yvzP/NX83Pzk/O38+P0F/RL9IP0u/Tr9RP1L/VD9Uv1S/VD9Tv1L/Un9SP1J/Uv9T/1U/Vn9YP1m/W39dP17/YL9if2R/Zn9ov2s/bb9wf3N/dn95f3y/f/+Df4c/iz+PP5M/lz+bP57/on+lf6f/qn+sf64/r/+xv7N/tX+3P7k/uv+8v75/v7/A/8I/w3/E/8Z/yD/Kf8y/z3/R/9S/1z/Zf9s/3P/ef9//4X/jP+V/6D/rP+6/8j/1v/j/+3/9P/4//n/9v/y/+z/5v/h/97/3v/g/+b/7f/3AAIADQAXACEAKAAuADIANQA3ADgAOQA7AD4AQgBHAE4AVQBdAGYAbgB1AHwAggCHAIsAjwCTAJgAnQCiAKgArwC0ALkAuwC7ALgAsQCoAJ0AkQCFAHoAcQBsAGoAbABxAHkAggCLAJUAnQCjAKgArACuALAAsQCzALQAtgC4ALgAuAC2ALMArwCqAKUAoQCfAJ4AoACjAKkAsAC3AL4AxADJAMsAywDKAMcAxADBAL4AvAC6ALgAtwC1ALMAsACsAKgAowCfAJoAlwCVAJMAkwCUAJYAmACbAJ8AowCoAK0AtAC7AMIAyQDPANUA2ADaANoA1wDSAM0AxgC/ALkAtACwAK4ArQCtAK0ArACqAKcAoQCZAI4AggBzAGMAUQBAAC8AHwARAAT/+v/z/+7/7P/s/+3/7//y//T/9f/0//L/7//r/+b/4f/d/9n/1//W/9b/1v/X/9f/1//W/9T/0//R/8//zv/P/9H/1P/Y/97/4//o/+3/8P/z//T/9P/0//T/8//y//H/8P/v/+7/7P/q/+j/5//m/+f/6f/t//P/+gABAAgADAAOAAwABf/5/+n/1P+8/6H/hf9p/0z/L/8T/vf+3P7A/qT+h/5r/k7+Mf4V/fv94f3J/bP9nf2I/XT9X/1K/TX9H/0L/Pb85PzT/MX8ufyw/Kn8pPyg/J38m/ya/Jj8mPyY/Jj8mvyd/KH8pfyr/LD8tvy8/MH8xfzJ/Mz8zvzQ/NL81PzW/Nf82fza/Nv82/zc/Nz83Pzd/N783/zi/OX86fzt/PL89vz5/Pv8+/z6/Pb88fzp/OD81/zO/Mb8v/y8/Lv8vfzD/M382fzn/Pj9C/0e/TP9Sf1f/XX9i/2g/bP9w/3O/dP90P3E/a/9kv1s/T/9DfzZ/KX8c/xH/CD8Afvq+9r70vvP+9L72Pvi++77/PwL/Bz8LvxB/FP8Zfx2/IP8jvyV/Jf8lfyO/IP8c/xf/Ej8L/wS+/X71vu2+5f7ePtb+z/7JvsP+vr65/rV+sT6svqf+on6cfpV+jf6GPn2+dT5s/mR+XH5U/k1+Rj4+/jf+ML4pviL+HH4WPhC+C/4HvgR+Ab3/vf49/P37/fr9+j35ffj9+L34vfj9+T35ffk9+L33PfT98b3tvej95H3f/dw92b3Yvdl93D3gfeX97L3z/fs+An4JvhA+Fn4cviK+KT4vvja+Pb5Evku+Ub5XPlt+Xr5g/mJ+Y35kfmX+aD5rPm++dP57PoI+iT6P/pY+mz6e/qF+oj6h/qA+nb6avpc+k76Qfo2+i76Kfoo+iv6M/o/+k/6Y/p4+o/6pfq6+s363frp+vL6+Pr8+v/7A/sI+xH7H/sy+0r7afuO+7j75fwV/Eb8dfyh/Mn86v0E/RX9H/0h/R39Fv0M/QT8//0A/Qr9Hf08/WX9mf3V/hj+YP6q/vT/PP+A/8D/+wAwAGIAkQC9AOoBGAFIAXsBsgHtAisCawKtAu8DLwNtA6cD3AQLBDUEWQR3BI8EogSxBLsEwgTGBMkEywTPBNQE3ATpBPoFEQUsBUwFbwWTBbYF1wX1Bg4GIgYzBkIGUQZiBngGlQa7BuoHIQdeB6AH5AglCGIIlwjECOgJAwkWCSQJLgk3CT8JSQlUCV8Jagl1CX0JggmECYIJfgl4CXMJbwlvCXQJgAmSCawJzgn2CiUKWAqQCssLCAtGC4MLvwv5DDAMZAyTDL8M6A0ODTINVA13DZkNvA3fDgIOIw5CDl0Ocw6DDo0OkQ6QDosOhQ5/DnsOew6ADooOmQ6uDscO4g7+DxsPNg9PD2YPfA+QD6QPuA/ND+MP+hASECsQRBBdEHUQjBCjELkQzxDmEP8RGhE5EVsRfxGmEc4R9xIfEkYSahKMEqsSxxLgEvcTChMaEyYTLhMzEzQTMhMuEygTIxMhEyETJRMvEz0TThNhE3UThxOXE6MTrBOyE7cTvBPDE84T3hPzFAsUJRQ/FFUUZRRsFGoUXhRKFDAUFBP5E+IT0xPNE9IT4BP2FBIUMhRRFG4UhhSZFKcUrxSzFLUUthS3FLoUvhTFFM0U1hTfFOcU6xTtFOoU5BTaFMwUvBSqFJkUiBR5FG0UYxRdFFkUWBRYFFkUWhRbFFwUXBRcFFwUXBRdFGAUYxRoFG4UdBR5FH0UgBR/FHwUdhRvFGUUWxRRFEcUPxQ4FDMULxQsFCkUJhQjFB8UGRQTFAsUBBP8E/UT7hPpE+QT4BPcE9gT1BPQE8sTxhPAE7sTthOxE6wTpxOiE7MTphOZE4oTehNpE1cTRRMzEyETERMCEvQS5hLYEsoSuRKnEpMSfBJkEksSMRIXEf4R5hHOEbcRoBGIEXARWBE/ESYRDhD3EOMQ0hDCELUQqBCcEI4QgBBvEFwQShA4ECkQHRAWEBQQFRAZEBwQHBAXEAkP8Q/PD6MPbg8zDvYOuA5+DkgOFw3tDckNqQ2LDW4NUg0zDRQM8gzODKkMggxbDDIMBwvbC6wLewtICxMK3gqpCnYKRQoXCe4JxwmkCYQJZQlICSoJDQjwCNIItQiZCH8IZghNCDYIHggHB+8H1ge8B6IHiAdvB1kHRAcyByIHEwcGBvkG6wbdBswGuwaoBpUGgwZxBmAGUQZCBjMGJAYTBgAF6gXSBbkFngWCBWcFTQU1BR4FCATyBN0ExgSuBJQEeQRcBD4EIQQGA+wD1QPCA7EDogOUA4gDewNuA2ADUANAAy4DHAMJAvcC5QLUAsMCtAKlApcCigJ+AnICZgJZAksCPAIrAhgCAgHqAdABtQGZAX4BZAFMATcBJAEVAQgA/gD2APEA7QDqAOkA6QDpAOoA6wDrAOkA5QDcAM8AvACjAIUAYgA6ABD/5f+7/5T/cP9S/zn/Jv8Z/xD/Cv8H/wT/Af78/vX+6/7f/s/+vf6q/pb+gv5v/l3+TP49/i/+I/4Y/g7+BP37/fL96f3h/dr90v3L/cT9vf22/a79pf2b/ZD9hv17/XH9aP1g/Vv9Vv1U/VL9UP1N/Ur9Rf0+/TX9Kv0f/RP9B/z9/PT87fzp/Ob85/zo/Oz88Pz1/Pr8//0C/QT9BP0C/P389fzr/N/80PzA/K78nfyL/Hn8aPxY/Ej8Ovws/CD8FPwK/AL7+/v2+/T78/vz+/P78/vx++375vvc+877vvus+5n7h/t2+2j7XPtT+037SPtD+0D7PPs3+zP7L/ss+yv7LPsw+zX7PftF+037U/tW+1b7UftJ+z37L/se+w36+/rq+tr6yvq6+qv6nfqQ+oT6evp0+nL6dfp++ov6nfqy+sn63/rz+wT7EPsY+xz7Hfsc+xv7Gvsb+xz7Hvsg+yD7HPsU+wj69/rh+sn6sPqY+oP6dPpq+mf6a/p2+ob6mvqx+sr65Pr/+xj7MvtL+2L7efuO+6L7tPvE+9P73/vq+/L7+fv//AT8B/wK/A38DvwP/BD8EfwS/BT8FvwZ/Bz8H/wj/Cb8KPwp/Cr8Kfwo/Cf8J/wo/Cv8MPw3/ED8SvxV/F/8afxy/Hn8fvyC/IX8h/yI/Iv8jvyR/Jb8m/yh/Kj8r/y4/MH8y/zX/OT88/0E/RX9Jv02/Ub9Uv1c/WP9Zv1l/WL9Xf1X/VD9Sv1F/UH9P/0//UH9RP1I/U79VP1c/WT9bf13/YH9jP2X/aP9rv26/cX90f3c/ej99P4B/g/+Hv4t/jz+TP5b/mr+eP6E/pD+mv6k/q3+tv6+/sb+zv7W/t7+5P7q/vD+9P75/v3/Af8G/wz/E/8b/yT/Lv83/0D/SP9P/1X/Wv9f/2T/av9y/3v/hv+T/6H/r/+9/8n/1P/c/+H/5P/m/+b/5f/m/+f/6//w//cAAAAJABMAHAAlACsALwAxADEAMAAuACsAKQAoACkALAAyADoARABPAFoAZgBxAHoAgQCHAIoAiwCLAIoAigCJAIoAjACOAJEAlACXAJgAmACXAJYAkwCRAI8AjgCPAJEAlACYAJwAnwCiAKMAowCjAKMAowCkAKcArQC0ALwAxgDOANYA2wDeAN4A2wDWANAAygDEAMAAvwDAAMIAxwDMANEA1QDZANwA3QDdAN0A3QDcANsA2gDZANYA0wDOAMgAwQC7ALQArgCpAKcApgCnAKkArQCwALQAtwC6AL0AwADEAMkAzwDXAOAA6QDxAPkA/gEAAP8A+gDzAOoA4ADWAM0AxQC+ALoAtgC0ALEArgCqAKMAmwCRAIUAdwBpAFoASwA9AC4AIQAUAAkAAP/5//P/8P/v/+//8f/0//f/+f/7//v/+//5//f/9P/y//L/8v/z//b/+f/8//8AAAAA//7/+//2//H/7P/o/+X/4//k/+X/6P/r/+7/8f/0//f/+f/8//4AAQAFAAkADgASABYAGAAZABkAGAAWABMAEQAOAAwACwAKAAoACQAGAAL/+//x/+T/1P/C/67/mP+C/2v/VP89/yf/Ef78/uf+0/6//qz+mf6G/nT+Yf5O/jr+I/4K/e790P2v/Y39a/1J/Sn9DPzy/N38zfzB/Lj8svyv/Kz8qvyp/Kf8pfyk/KP8o/yj/KT8pvyo/Kv8rvyw/LP8tvy4/Lv8vvzC/Mf8y/zQ/NX82vze/OH84/zl/Ob85vzn/Oj86vzt/PH89fz6/P/9BP0I/Qv9DP0N/Qz9Cf0G/QL8/fz5/PX88/zy/PP89vz8/QT9Dv0b/Sn9O/1P/WX9ff2Y/bP9z/3p/gD+Ev4d/h7+FP3//d39sf16/T38/fy8/H/8SPwa+/b73vvQ+8v7zfvW++H77/v9/Av8GPwk/DD8O/xG/FL8Xfxn/G/8dfx3/Hb8cPxm/Fj8Rvwx/Bn7//vk+8j7q/uP+3P7WPs++yb7EPr7+uf61PrA+q36mPqB+mf6TPou+g757fnM+az5jPlu+VH5Nvkb+QD45vjL+K/4k/h3+F34RPgu+Bv4C/f+9/P36/fj99v30/fL98L3ufex96v3qPem96f3qvet97D3sPet96X3mfeI93X3YPdM9zv3L/co9yn3Mfc/91L3aveE95/3u/fW9/L4Dfgo+ET4YviA+J/4vvjb+PX5DPke+Sv5NPk6+T35QPlE+Ur5VPlj+XX5i/mj+bv50vnn+ff6A/oJ+gr6Bfn8+fH54/nU+cX5uPmu+af5pfmn+a/5vfnQ+ej6BPoj+kP6Y/qC+p76tvrK+tr65/rw+vb6/PsD+wv7Ffsk+zf7T/tr+4v7r/vW+/38JfxL/G78jfym/Lr8yPzQ/NP80/zS/NL81Pzc/On8//0d/UT9dP2r/er+Lf5z/rz/BP9K/47/zQAHADwAagCTALYA1gD0AREBLwFRAXYBoQHRAgcCQgKBAsIDAwNCA34DtAPlBA8EMgRPBGUEdgSCBIsEkgSYBJ4EpgSvBL0EzwTlBP8FHgVABWUFigWvBdEF8QYPBikGQQZYBnAGiwaqBs0G9wcmB1sHkwfOCAkIQwh6CK4I3QkICS8JUglyCY8JqAm+CdAJ3QnmCekJ5wnhCdgJzQnCCbkJtAm1CbsJyQneCfoKHApECnAKnwrRCwULOwtyC6kL4AwWDEoMfQytDNkNAw0pDUsNbA2KDagNxA3hDfwOFw4wDkgOXA5sDnkOgg6HDooOiw6MDo8OlA6dDqoOvA7RDukPAg8cDzYPTQ9iD3YPhw+XD6cPuA/LD+AP+BASEC4QTBBqEIgQpRDBENwQ9xESES8RTRFvEZMRuRHhEgoSMRJXEnkSlxKyEsgS3BLtEvwTCRMWEyETKxM0EzoTPhNBE0ITQxNFE0oTUxNfE28TghOXE6sTvRPLE9QT2RPaE9oT2hPeE+cT9xQOFCwUTRRwFI8UqBS4FL4UuBSoFJEUdhRaFEIUMRQoFCkUMxREFFsUdBSNFKQUuRTJFNYU4RTqFPQU/RUIFRMVHhUpFTEVNhU3FTMVKxUeFQ0U+hTnFNQUwxS1FKsUpRSjFKUUqRSvFLYUvBTBFMQUxRTDFL8UuRSzFK0UqRSlFKQUphSpFK4UsxS4FLwUvhS9FLoUtBSsFKEUlhSKFH4UcxRqFGIUXBRXFFMUTxRMFEgURRRBFD0UOBQ0FDEULRQqFCgUJRQiFB8UGxQWFA8UBxP/E/UT6hPgE9UTyhO/E78TshOjE5UThRN1E2MTURM/Ey0TGxMJEvgS5hLTEr8SqhKSEngSXRJAEiISBRHpEc8RthGfEYgRcxFcEUYRLhEWEP0Q5RDPELwQqxCeEJMQiRCBEHcQbBBfEE8QPhAtEBwQDxAGEAEQABACEAYQBxAED/oP6A/MD6YPeA9DDwsO0g6ZDmQOMw4FDdwNtA2ODWgNQA0XDOwMwQyUDGcMOwwOC+ILtguKC1wLLgr+Cs4KngpvCkMKGwn2CdYJuQmfCYcJbwlXCT0JIgkFCOcIyQirCI4IcghXCD4IJggPB/cH4AfIB7AHmQeCB20HWgdIBzgHKQcaBwoG+QbmBtEGugahBokGcQZaBkYGNAYkBhYGCgX9BfAF4QXRBb8FqwWWBYAFagVTBTsFIwUKBPAE1QS4BJoEewRcBD0EHwQDA+oD0gO+A6sDmgOKA3oDawNcA00DPgMvAyEDFAMHAvoC7QLhAtUCyQK8ArACpQKZAo4CgwJ3AmoCXAJKAjYCHgIEAecByQGqAY0BcgFZAUQBMwElARoBEQEJAQIA+wD1AO8A6gDmAOIA3wDcANgA0gDJALsAqACQAHEATgAn//7/1P+r/4b/Zf9J/zL/If8V/w3/B/8D/v/++v70/uv+3/7R/sD+rv6Z/oX+cP5b/kj+Nv4m/hf+Cf3+/fP96v3h/dn90v3L/cX9vv24/bH9qf2h/Zj9jf2C/Xf9a/1g/Vb9Tv1I/UT9Qf1A/T/9Pf06/TX9Lv0l/Rr9Df0A/PP85/zd/Nb80fzO/M78z/zR/NT81/za/N383/zi/OP85fzk/OL83vzX/M38wPyv/Jz8h/xx/Fr8Rfwx/B/8D/wB+/b77Pvk+9372PvT+8/7y/vI+8T7wPu7+7X7rfuj+5f7ift7+2z7XvtR+0X7PPs0+y/7Kvsn+yT7IPsc+xj7E/sO+wn7BfsD+wL7AvsD+wT7BfsF+wP7APr7+vX67frl+t361PrM+sP6uvqw+qX6mvqP+oT6e/p0+nL6dPp7+of6lvqp+rz60Prh+u/6+fsA+wT7BvsI+wr7DvsU+xv7Ifsn+yn7Jvsd+w76+Pre+sH6pPqK+nX6Zvpg+mL6bfp++pP6rPrH+uL6+/sU+yr7QPtU+2n7ffuR+6X7ufvM+9777fv7/Ab8DvwT/Bb8FvwU/BD8C/wG/AH7/fv6+/n7+/wA/Ab8D/wY/CL8Kvwy/Df8O/w8/Dz8PPw8/D78QfxG/E78WPxi/G38d/x//IX8iPyI/If8hPyA/Hz8efx4/Hj8e/yB/In8k/yf/K38vfzO/OD88/0H/Rv9Lv1B/VH9X/1p/XH9dP10/XH9a/1j/Vr9Uf1J/UH9PP04/Tf9OP07/T/9Rf1M/VT9Xf1m/XD9ev2E/Y79mP2i/a39uP3D/c792v3n/fT+Av4Q/h7+LP47/kn+Vv5i/m7+ev6E/o/+mP6i/qv+tP69/sX+zP7S/tj+3f7h/ub+6/7w/vf+/v8H/xH/Gv8k/y7/Nv89/0P/SP9N/1H/Vf9b/2L/av90/4D/jf+Z/6b/sv+8/8b/zv/U/9r/4P/m/+3/9P/8AAUADgAXAB8AJwAsADAAMgAyADAALAApACUAIgAhACIAJQArADMAPgBKAFcAZABvAHkAgQCGAIgAiACGAIMAgAB9AHsAewB8AH4AgQCGAIsAkQCWAJ0AowCqALIAugDCAMkA0ADVANcA1wDUAM8AyQDCALwAuQC5AL0AxgDSAOAA8AD/AQwBFQEbARsBGAERAQkA/wD2AO8A6wDpAOkA6wDuAPEA9AD3APgA+QD6APoA+gD6APkA+AD1APEA6wDjANkAzwDEALsAtACwAK8AsQC2AL0AxQDNANUA2wDfAOIA5QDoAOwA8AD3AP4BBgEOARUBGgEcARsBFwEQAQcA/QD0AOsA4wDdANcA0wDOAMgAwQC4AK4AoQCUAIYAeQBrAF4AUgBHAD0AMwAqACIAGQATAA0ACQAHAAcACQAMABAAEwAXABkAGgAaABkAFwAWABYAFgAZABwAIAAkACgAKgAqACkAJQAfABkAEQAKAAT////7//n/+f/5//n/+v/7//z//gAAAAMACAAOABUAHQAlAC0AMwA4ADoAOgA3ADIALAAlAB4AFwAQAAoABP/9//X/7P/h/9T/xf+0/6L/jv96/2b/U/9C/zL/JP8Y/w//B/8A/vv+9v7w/un+3/7S/sH+q/6P/m3+R/4d/fD9w/2W/W39SP0p/Q/8/Pzu/OX83/zc/Nv82fzY/Nb80/zQ/M38yvzH/MX8w/zB/L/8vfy8/Lr8ufy5/Lr8vPzA/MX8y/zS/Nn84Pzl/On87Pzu/O/87/zv/PD88fzz/Pb8+vz+/QP9Cf0N/RL9Fv0Z/Rz9H/0h/SP9JP0m/Sj9Kv0s/S/9Mv03/T39RP1O/Vv9a/1+/ZX9r/3L/ej+Bv4h/jf+Rv5L/kX+Mf4Q/eH9p/1l/R380/yN/E38Fvvs+8/7vvu5+777yPvY++n7+fwI/BT8Hvwm/Cz8Mvw4/D78Q/xI/Ez8TfxL/Eb8PPwu/Bz8B/vv+9b7vPuh+4f7bvtV+z37JvsQ+vv65vrS+r/6q/qW+oD6afpQ+jb6Gvn9+eD5xPmo+Y35dPlc+Ub5MPkZ+QL46fjO+LL4lfh4+Fv4Qfgp+BT4A/f19+n33vfU98n3vPev96D3kveF93r3cvdu9273cPd193v3fvd/93v3cvdk91H3O/ck9w/2/fbw9ur26/by9wD3E/cp90H3W/d195D3q/fH9+T4A/gi+EL4YfiA+Jv4s/jG+NT43fjj+Ob46Pjs+PL4/PkJ+Rr5L/lE+Vr5bvl/+Yz5k/mU+ZH5ivl/+XP5Zvla+U/5R/lD+UP5SPlR+V/5c/mL+aj5x/nq+g76MfpU+nP6j/qn+rv6yvrV+t364/rp+u769fr++wr7G/sv+0f7Y/uB+6L7xPvl/AX8I/w+/FX8afx5/If8lPyh/LD8wfzW/O/9Dv0y/Vv9if27/fH+Kv5l/qH+3v8b/1f/j//E//MAHAA+AFgAbAB7AIcAkwCgALMAzADuARoBTgGLAc0CEwJaAp8C4AMdA1MDgwOsA9AD8AQMBCQEOwRPBGIEdASEBJUEpQS2BMoE4AT5BRYFNgVZBX8FpQXMBfMGGAY7Bl4GfwaiBsUG6wcUB0EHcgelB9sIEwhLCIMIuQjsCR0JSglzCZcJtwnSCegJ+AoCCgcKBwoECf4J9wnxCe4J7gnzCf0KDQohCjoKVwp2CpcKugreCwQLLAtWC4ILsQvjDBYMSQx8DK4M3A0HDS4NUQ1wDYwNpQ29DdMN6Q3/DhUOKw4/DlMOZQ52DoUOkg6eDqsOtw7FDtUO5w77DxAPJg88D1EPZg94D4kPmA+nD7UPxQ/WD+oQARAcEDgQVxB3EJcQtxDVEPMREBEtEUsRahGLEa8R1BH6EiASRBJmEoMSnBKxEsIS0RLeEusS+hMJExoTLBM+E08TXhNrE3YTgBOKE5QToROvE8AT0RPiE/AT+RP8E/gT7hPgE9ATwxO8E74TzRPoFA4UPRRxFKUU1BT5FRIVHhUcFQ8U+hTiFMkUtRSlFJ0UmxSfFKgUshS+FMkU1BTgFO0U/BUOFSMVOxVUFW0VgxWUFZ8VoRWbFY4VeRVhFUYVLBUVFQMU9hTxFPEU9xUBFQ0VGhUnFTEVOBU7FToVNRUtFSIVFRUIFPwU8RToFOIU3hTcFNwU3RTeFN4U3hTdFNoU1hTRFMoUwxS8FLUUrhSnFKIUnRSZFJUUkhSPFIsUiBSEFH8UehR1FG8UaRRjFF0UVxRRFEoUQxQ7FDIUKBQdFBAUAxP2E+gT2xPNE8gTuxOtE58TjxN+E2wTVxNBEyoTExL6EuISyhKxEpcSfRJiEkUSKBIKEe0R0BG2EZ4RiBF1EWMRUhFBES8RGxEGEO8Q2BDCEK0QmhCLEH4QdBBrEGIQWRBNEEAQMhAiEBMQBQ/7D/UP8Q/xD/EP8Q/sD+IP0A+2D5MPaA83DwIOyw6TDl0OKQ33DccNmA1oDTgNBwzVDKEMbww9DA0L3wuzC4oLYgs7CxQK7ArECpwKdQpQCi0KDQnyCdoJxgmzCaIJkAl9CWcJTQkxCRMI8wjSCLEIkgh0CFgIPAgiCAcH7AfRB7YHmweAB2YHTgc3ByMHEAb+BuwG2wbIBrQGoAaKBnUGYAZMBjoGKgYcBhAGBQX7BfAF5gXZBcwFvAWrBZcFggVrBVIFNwUaBPwE2wS5BJcEdARTBDMEFQP6A+EDywO2A6MDkQN/A20DXQNNAz4DMAMkAxoDEQMJAwEC+gLxAukC3wLUAskCvwK0AqkCnwKTAocCeAJlAk8CNQIXAfYB1AGxAZABcwFZAUQBMwElARoBEQEJAQAA9wDuAOQA2gDSAMsAxAC/ALkAsgCoAJsAiQByAFYANgAT/+3/yP+k/4P/Zv9N/zj/Jv8Y/wz/Af73/uz+4f7V/sf+uf6p/pj+hv50/mH+Tv47/in+F/4H/fn97P3g/db9zv3G/cD9uv20/a/9qv2k/Z39lv2O/YX9ev1v/WT9WP1N/UP9Ov0y/Sz9KP0k/SD9G/0V/Q39A/z4/Or83PzO/MH8t/yv/Kn8p/ym/Kj8qvyt/K/8sfyz/LX8t/y5/Lz8v/zD/MX8xvzE/L78s/yk/JD8efxf/ET8KvwS+/z76fvb+8/7x/vA+7v7t/uy+637qPui+5v7lfuO+4f7gPt3+2/7Zftb+1D7RPs5+y/7Jfsc+xX7D/sJ+wT6//r6+vT67frm+t/62PrR+sr6xfrA+r36u/q5+rj6t/q3+rf6uPq5+rr6vPq9+r76vvq8+rn6tfqv+qj6ovqd+pr6mvqe+qX6r/q7+sj61vri+uz69Pr6+v77A/sI+w/7GPsi+y77OPtB+0X7Qvs4+yf7D/ry+tP6tPqZ+oT6ePp1+nv6ivqf+rn61frw+wr7Ivs2+0j7WPtn+3b7hvuX+6n7u/vO++H78vwB/A78F/we/CH8IPwc/BX8DPwC+/f77fvl+9/73Pve++P77Pv4/Ab8Ffwi/C78OPw//EP8RfxG/Eb8R/xJ/Ez8UvxY/GD8Z/xt/HP8dvx3/Hf8dPxx/G78bPxr/Gz8cPx3/IH8jfyc/Kz8v/zS/Ob8+v0P/SL9NP1F/VX9Yv1s/XT9ef16/Xn9df1v/Wf9X/1X/U/9Sf1F/UL9Qv1E/Uf9S/1Q/Vb9W/1h/Wb9a/1x/Xf9fv2F/Y79mf2k/bD9vf3L/dn95/30/gL+D/4b/ij+M/4//kr+Vf5g/mv+dv6A/ov+lf6f/qj+sf64/r/+xv7M/tL+2P7g/uj+8f78/wf/Ev8d/yf/Mf85/0D/Rf9J/03/Uf9W/1v/Yf9p/3L/fP+G/5H/nP+n/7H/u//F/87/1//g/+n/8//8AAYADwAXAB8AJgArAC8AMgAzADQAMwAyADEAMAAwADIANAA5AD8ASABRAFsAZQBvAHgAfwCFAIgAigCKAIoAiQCJAIkAigCLAI4AkQCVAJkAngCkAKsAswC8AMcA0wDfAOsA9QD+AQMBBQEEAP8A+QDzAO4A7ADtAPQA/wEOAR8BMQFBAU8BVwFaAVcBUAFFATkBLAEhARgBEwERARIBFQEYARwBHwEgASEBIAEfAR4BHAEbARoBGAEUAQ8BBwD9APEA5ADXAMsAwgC8ALsAvQDDAMwA1wDiAO0A9gD+AQMBCAELAQ8BEwEYAR0BIgEnASsBLQEuASwBKAEjAR0BFwESAQ4BCgEHAQQBAAD6APIA5wDZAMoAuACmAJUAhQB3AGsAYABYAFEASgBEAD0ANwAxACwAKAAmACYAKAArAC8AMwA3ADoAPAA9ADwAOgA5ADgAOAA5ADsAPwBCAEUARwBHAEYAQwA/ADkAMgAsACYAIAAcABgAFQASAA8ADAAJAAYABAADAAMABgALABEAGQAhACkAMAA0ADYANQAxACsAIgAZAA8ABv/+//f/8P/q/+T/3P/U/8j/u/+r/5n/hv9z/2D/T/9A/zP/Kv8k/yL/Iv8k/yj/LP8v/y//LP8k/xb/Av7n/sb+n/50/kb+GP3r/cH9nP19/WP9T/1B/Tf9MP0s/Sj9JP0h/R39Gf0U/RD9DP0J/Qb9BP0B/P38+fz0/O/86fzk/OD83fzc/N383/zj/Of87Pzw/PP89vz3/Pj8+Pz5/Pn8+/z+/QH9Bv0M/RP9Gv0h/Sn9MP03/T/9Rf1M/VL9V/1c/WD9ZP1o/Wv9b/10/Xr9g/2O/Zz9rv3C/dr98/4N/if+Pv5Q/lz+X/5W/kL+If3z/br9ef0x/Of8nvxb/CD78PvM+7T7qPum+6z7tvvE+9L73vvp+/L7+vwA/Ab8C/wR/Bb8G/we/B/8HfwW/Ar7+vvm+8/7tfua+3/7Y/tJ+zD7GfsD+u362frG+rL6n/qM+nn6ZfpR+jz6J/oQ+fn54vnL+bX5oPmN+Xv5a/lc+U35Pfks+Rj5Afjm+Mn4qfiH+Gb4R/gp+A/3+Pfk99P3xPe196f3mPeI93j3Z/dY90r3QPc69zf3N/c69z33P/c/9zz3M/cl9xT2//bp9tT2wfaz9qr2qPas9rb2xPbW9uv3AfcX9y73R/dg93r3lve099L38fgP+Cr4QvhV+GT4b/h2+Hv4gPiG+I/4m/is+MH42Pjw+Qj5HPkr+TX5Ofk2+S/5I/kV+Qf4+vjw+Or46Pjq+PL4/fkN+SD5NflO+Wn5hvmk+cL54Pn++hn6M/pJ+lz6bPp4+oL6ifqP+pX6m/qj+q36uvrL+t/69/sR+y77Tfts+4v7qfvE+9779fwL/CH8NvxN/Gf8g/yj/Mb87P0V/T/9bP2Z/cf99f4k/lT+hf63/un/Gf9I/3L/mP+3/9D/4v/v//gAAAAKABgALQBKAHAAnwDWAREBUAGPAcwCBgI7AmwCmQLDAu0DFwNBA24DmwPIA/QEHgREBGUEgQSZBK4EwATTBOcE/wUaBTsFXwWHBbIF3QYJBjQGXgaHBq8G2AcCBy4HXAeNB8EH9ggtCGQImQjNCP8JLQlYCX4JoQm+CdgJ7Qn+CgsKFAobCiAKJAopCi8KOApCCk8KXwpwCoIKlAqnCrgKyQrbCu4LBAsdCzsLXwuIC7YL6AwdDFIMhgy4DOUNDg0xDVANag2BDZcNrA3CDdoN8w4NDikORQ5hDnsOlA6qDr8O0g7jDvQPBQ8XDykPPA9PD2MPdg+JD5sPrA+9D80P3g/wEAUQGxA1EFEQcBCPELAQ0BDvEQ0RKxFIEWURgxGjEcQR5hIJEisSTBJrEoUSnBKwEsES0RLiEvMTBxMeEzYTUBNqE4ITmROsE7wTyxPYE+YT9hQIFBwUMBRDFFEUVxRVFEkUNBQZE/wT4RPOE8cT0BPpFBIUSRSGFMYVAhU0FVkVbhV1FW8VYBVLFTUVIRURFQYU/xT9FP0U/hT/FQIVBhUNFRkVKxVDFWEVgxWmFcgV5RX5FgMWAhX1FeAVxBWkFYYVahVWFUkVRBVIFVIVYRVzFYUVlhWkFa0VshWyFa0VpBWZFYsVfBVtFV4VUBVEFTkVLxUmFR4VFxURFQsVBhUBFP0U+RT3FPUU9BTzFPIU8RTxFPAU7hTtFOsU6RTnFOMU3hTYFNAUxxS8FK8UohSTFIUUdxRqFF4UUhRHFDsUMBQkFBgUCxP+E/AT4xPWE8kTuxOsE50TjBN5E2QTTBMxExUS9xLZErwSnxKDEmcSTBIyEhcR+xHgEcURqxGTEX0RahFaEUwRPhEyESQRFREEEPEQ3RDIELMQnxCOEH4QchBnEFwQUhBHEDoQLBAdEA4QAA/0D+oP4w/eD9kP1A/LD70Pqg+PD2wPQw8VDuIOrQ54DkIODQ3ZDaYNcg0+DQgM0gybDGQMLwv8C8wLnwt3C1ILMAsPCvAK0QqzCpQKdgpaCj8KJwoRCf8J7gnfCc8JvgmrCZUJfAlgCUEJIAj+CNwIuwibCH0IXwhCCCQIBgfnB8YHpQeDB2IHQgckBwkG8AbaBscGtganBpkGiwZ+BnEGZAZXBkoGPgYyBiYGGwYPBgMF9wXqBdsFzAW6BacFkQV5BV4FQQUhBP4E2gS1BJAEawRJBCgECgPwA9gDwwOwA54DjAN7A2sDWwNLAz4DMQMnAx8DGAMTAw4DCAMBAvkC7wLkAtkCzQLBArUCqgKeApACfwJsAlQCOAIXAfQB0AGsAYkBagFPATkBJwEYAQsBAAD1AOkA3ADPAMEAtQCqAKEAmQCTAI4AiACAAHQAZQBRADkAHgAB/+L/w/+m/4v/cv9b/0b/Mv8f/wz++f7m/tP+wP6t/pv+iv55/mn+Wf5J/jn+KP4X/gb99f3l/db9yP29/bP9q/2l/aD9nP2Y/ZT9kP2L/YX9f/13/W79ZP1Z/U79Qv03/Sz9If0X/Q/9B/z//Pj88Pzm/Nz80PzD/LX8pvyY/Iz8gvx6/HX8c/x0/Hb8efx8/H/8gfyD/IX8iPyL/JD8lvyd/KP8qPyq/Kj8ofyV/IP8bfxT/Df8HPwC++r71/vH+7z7tPuu+6j7pPue+5j7kPuI+3/7dvtu+2b7XvtW+0/7R/s/+zX7K/sg+xT7CPr8+vL66Prg+tn60/rN+sj6wvq8+rf6sPqr+qX6oPqc+pr6mPqY+pn6m/qe+qH6pPqn+qv6rvqx+rT6tvq3+rj6t/q2+rX6s/qx+rH6svq1+rr6wfrK+tT63frm+u769fr7+wD7BvsM+xX7H/ss+zn7RvtR+1f7WftT+0X7MvsY+v364frI+rT6qPqk+qr6t/rL+uP6/fsW+y77Q/tW+2X7c/uA+437mvup+7n7yvvb++z7/fwM/Br8JPws/DH8M/wy/Cz8JPwa/A38APvy++f73vvZ+9j72/vj++77+/wK/Bj8JPwv/Db8O/w+/D/8P/w+/D78P/xB/ET8SPxN/FP8WPxd/GH8Zfxp/G38cfx2/Hz8g/yN/Jn8pvy2/Mb82Pzq/Pz9Dv0f/S/9Pf1L/Vf9Yf1q/XH9dv15/Xr9eP10/W/9af1i/Vr9VP1P/Uz9Sv1J/Ur9TP1N/U/9Uf1S/VP9VP1X/Vr9X/1m/XD9e/2I/Zf9pv22/cb91f3j/fH9/v4J/hT+H/4q/jT+P/5J/lT+YP5r/nf+gv6N/pf+oP6p/rL+uv7C/sr+0/7c/ub+8v79/wr/Fv8i/y3/Nv8//0b/S/9Q/1P/V/9b/1//Y/9p/2//d/9//4j/kf+b/6X/r/+6/8X/0P/b/+b/8f/7AAUADwAXACAAKAAvADYAPABCAEcASwBPAFEAUgBTAFMAVABUAFYAWABbAF8AZQBrAHEAdwB9AIMAiACMAJAAlACXAJsAnwCjAKYAqQCsAK0ArwCwALIAtgC8AMMAzQDYAOUA8QD8AQYBDQERARMBEwETARMBFgEcASYBMwFCAVIBYgFuAXcBegF3AW4BYgFTAUQBNgErASQBIQEjAScBLgE1AToBPwFBAUABPwE8AToBOAE2ATUBNAEyAS4BKAEgARUBBwD5AOsA3gDVAM8AzQDQANUA3gDoAPMA/gEHAQ8BFwEcASEBJgEpAS0BLwEwATABLgErASgBIwEgAR0BGwEbAR0BHwEhASIBIQEcARMBBwD3AOQAzwC6AKYAkwCEAHcAbQBlAF8AWgBWAFEATABIAEMAQAA+AD0APgBBAEQASABMAE8AUgBUAFUAVQBWAFYAVwBYAFoAWwBdAF4AXgBdAFoAVwBSAE0ASABCAD0AOAAzAC8AKQAkAB4AFwARAAsABQACAAAAAAADAAcADQATABgAGwAcABoAFAAMAAH/9f/o/93/0v/L/8b/w//B/8H/wP++/7r/s/+p/53/jv9+/23/Xf9O/0L/Of8z/zD/MP8x/zT/OP86/zr/OP8x/yf/F/8C/un+y/6r/oj+ZP5B/iD+A/3o/dL9wP2x/aX9m/2T/Yv9hf1//Xn9df1z/XL9c/12/Xr9fv2C/YP9g/1//Xn9b/1k/Vf9Sf08/TD9Jv0d/Rf9Ev0P/Q39DP0L/Qr9Cv0L/Qz9D/0S/Rf9Hv0l/S79OP1C/U79Wf1l/XH9fP2G/Y/9l/2d/aP9p/2s/bH9uP3A/cr91/3n/fr+Dv4j/jn+Tf5f/m3+df51/m7+Xf5C/h397v24/Xv9Ofz2/LT8dvw9/A375fvH+7H7pPud+5r7m/ue+6H7pfuq+677s/u5+8D7x/vO+9T72PvZ+9b7zvvB+6/7mfuA+2b7Svsu+xP6+vri+sz6uPql+pL6gPpu+lz6Svo5+if6FvoF+fP54vnR+cD5sPmg+ZL5hfl6+XD5Z/lg+Vf5TflB+TH5HPkC+OP4wPia+HL4Svgj9/733Pe996L3ivd292P3UfdB9zL3I/cW9wv3Avb89vf29fb09vT28/bw9uv24vbW9sf2tfai9pD2gPZz9mr2Z/Zo9m72ePaF9pX2pva49sz24Pb29w33JvdB9133eveW97D3yPfb9+v39/gA+Aj4EPga+Cj4OvhR+Gv4ifin+MP42/jt+Pf4+fjy+Ob41fjB+K74nfiQ+Ij4h/iL+JT4ofiy+MX42fju+QP5Gfku+UT5Wvlv+YX5mfmt+b/5z/ne+ev59voA+gr6E/od+in6NvpG+ln6b/qH+qL6v/rd+vv7Gfs1+1H7a/uE+537t/vT+/H8Evw1/Fv8hPyu/Nn9BP0v/Vr9hP2v/dr+Bv4z/mD+jv67/uX/DP8v/03/Z/98/4//ov+1/83/6AAKADAAXACKALoA6AEUATsBXgF9AZkBtQHTAfUCHQJMAoMCwAMCA0UDiAPHA/8EMARZBHoElQSsBMIE2ATxBQ4FLwVVBX8FqwXYBgYGMwZfBooGtAbfBwwHOwdsB58H1QgMCEQIewixCOQJFAlBCWoJjwmxCdAJ6woDChgKLAo9Ck0KXAprCnoKigqaCqsKuwrKCtcK4grqCu4K8ArxCvEK9Ar6CwULGAszC1ULfguuC+EMFwxMDH8MrgzYDP0NHg08DVcNcg2MDagNxg3mDggOKg5MDm0OjA6oDsEO1w7qDvwPDA8cDywPPQ9QD2QPeA+OD6MPuA/ND+IP9xANECQQPRBZEHcQlxC5ENsQ/REeET4RXRF7EZkRthHUEfISERIxElASbhKKEqQSuxLREuYS+hMQEygTQhNeE3wTmRO1E84T4xP0FAIUDhQaFCgUOhRRFGwUiRSmFL4UzxTVFM4UvBSgFH8UXhREFDUUNRRGFGYUlBTIFP4VLxVWFXAVexV5FW0VWhVGFTQVKBUjFSQVKhUyFTwVRBVKFU4VUhVZFWMVdBWLFakVyhXsFgwWJRY0FjgWMRYfFgUV5xXIFa0VmRWNFYoVjxWcFa0VwRXWFegV+BYDFgsWDhYOFgoWBRX+FfUV7BXiFdcVyxW/FbIVpBWVFYcVeBVqFV0VUhVIFUEVPBU5FTcVNxU4FTkVORU5FTgVNhU0FTEVLRUpFSUVHhUXFQwVABTxFN8UzBS4FKQUkRR+FG4UXxRSFEUUORQsFB8UEhQDE/QT5hPXE7YTpROVE4QTchNeE0cTLRMQEvIS0hKyEpMSdhJbEkISKxIUEf4R5xHPEbcRnxGIEXIRXhFNET8RMxEoER0REREEEPYQ5RDTEMEQrxCdEI0QfxByEGYQWRBMED4QLhAdEAsP+g/qD9sPzg/DD7gPrQ+hD5EPfA9hD0EPHA7yDsQOkw5hDi8N/A3JDZUNYA0rDPQMvQyFDE4MGQvnC7gLjgtoC0YLKQsOCvYK3grICrEKmgqECm0KVwpCCi0KGAoDCe4J2AnACaYJigltCU4JLwkPCPAI0gi1CJkIfghjCEgILAgNB+0HywenB4IHXQc5BxcG+AbcBsQGsAagBpMGiQaABngGcAZnBl4GVAZJBj0GMAYjBhUGBgX3BecF1gXDBa4FmAV/BWMFRQUlBQIE3QS4BJIEbQRKBCkECwPxA9kDxQOyA6IDkwOEA3YDaANbA08DRAM7AzMDLAMmAyADGQMSAwgC/QLxAuMC1QLGArcCqAKZAocCdAJdAkMCJgIGAeQBwQGeAX4BYQFIATIBIAEQAQEA8wDkANQAxACzAKMAlQCIAH8AeABzAG8AagBkAFsATwA/ACwAFv/+/+b/z/+4/6P/jv96/2b/UP86/yL/Cf7v/tX+vP6l/o/+fP5r/lv+S/48/iv+Gv4H/fP93v3K/bj9p/2Y/Y39hP1+/Xr9d/11/XL9b/1r/WX9X/1X/U79Rf07/TD9Jf0a/Q/9BPz6/O/85vzc/NP8yvzA/LX8qvyd/JD8gvx0/Gb8W/xR/Er8RfxE/ET8RfxI/Ev8TvxR/FT8WPxd/GP8afxx/Hn8f/yE/IX8gvx5/Gz8WvxE/Cz8E/v7++X70/vD+7f7rful+577lvuN+4T7eftt+2H7VftJ+z/7Nfst+yX7HPsU+wr6//rz+ub62frN+sH6tvqt+qb6oPqb+pj6lvqT+pH6kPqO+o36jfqO+o/6kvqV+pn6nPqe+p/6n/qd+pr6lvqS+o36ifqG+oT6g/qD+oT6hvqI+ov6jvqT+pn6oPqp+rL6vPrG+s/61/rf+ub67Prz+vv7BfsR+x/7Lvs9+0r7U/tY+1f7UPtD+zH7HfsJ+vf66frh+t/65Prv+v37D/sj+zb7Sftb+237ffuO+5/7sPvC+9X75/v6/Av8HPwr/Dj8Q/xN/FT8WPxa/Fj8U/xL/D/8Mvwj/BT8Bvv6+/H77Pvr++378/v7/AX8DvwY/CD8J/ws/C/8Mfwy/DL8Mvwz/DT8N/w6/D/8RvxN/Fb8YPxq/HT8f/yL/Jf8o/yw/L38zPza/Or8+v0J/Rj9Jv0z/T/9Sf1T/Vv9Yv1n/Wz9b/1w/XD9bf1p/WP9XP1U/Uv9Q/08/Tb9Mf0t/Sv9Kv0q/Sr9Kv0s/S79MP01/Tv9RP1P/Vv9av16/Yz9nf2v/cD90f3g/e/9/P4J/hX+IP4r/jb+Qf5L/lb+Yf5s/nf+gv6M/pf+of6q/rT+vf7H/tD+2/7m/vL+/v8L/xf/JP8w/zr/RP9M/1L/WP9c/2D/Y/9m/2n/bf9x/3X/ev+A/4f/j/+Y/6L/rf+5/8f/1f/j//D//QAKABUAHwApADEAOgBDAEsAVABdAGYAbgB0AHgAegB6AHgAdABvAGoAZgBjAGIAYwBmAGoAbwB1AHsAgQCHAI0AkgCYAJ0AogCnAKwArwCyALQAtAC0ALQAtAC2ALkAvgDFAM4A1wDiAO0A9gD+AQUBCwERARgBIAEpATUBQgFRAV4BagFyAXUBdAFtAWIBUwFEATUBKAEgARwBHQEhASkBMgE7AUIBSAFKAUsBSQFHAUUBQwFDAUQBRQFHAUYBRAE/ATcBLAEfARABAgD1AOsA5ADgAN8A4gDnAO4A9gD+AQYBDQEUARkBHgEhASMBIwEiAR8BGwEVARABCgEHAQUBBQEIAQwBEgEXARsBHAEaARQBCgD8AOsA1wDEALAAnwCPAIIAeABwAGkAZABgAFwAWABUAFEATwBNAE0ATQBPAFEAVABYAFwAYABkAGgAbABwAHQAeAB7AH0AfgB9AHsAeAByAGwAZQBeAFcAUABJAEIAPAA1AC4AJwAgABgAEAAJAAL//f/6//n/+v/8//8AAwAGAAgABgAC//v/8P/j/9T/xP+1/6f/nf+V/5L/kv+V/5r/n/+l/6j/qf+o/6L/mv+Q/4T/d/9q/17/U/9K/0P/Pf84/zT/MP8s/yf/If8a/xH/B/76/uz+3P7L/rj+pP6P/nv+Z/5U/kP+M/4k/hf+C/4B/fj98f3s/en96v3u/fX+Af4P/h/+L/4+/kv+U/5W/lL+SP44/iP+Cv3v/dP9uP2e/Yj9dP1k/Vb9TP1E/T79Ov03/TX9Nf03/Tn9Pv1E/U39V/1j/XH9gP2Q/aH9sf3B/c/92/3n/fH9+v4D/g3+GP4l/jT+Rf5W/mn+ev6J/pX+nP6d/pj+i/52/ln+Nf4L/dv9pv1v/Tb8/vzH/JT8Zfw6/BX79fvZ+8L7rvud+4/7gvt4+2/7aftl+2T7Zfto+2z7cPt0+3T7cvtr+2D7Ufs++yj7EPr4+uH6yvq1+qL6kPqA+nH6YfpS+kL6Mvoi+hL6Avnz+eT51/nJ+b35sPmk+Zj5jPmB+Xf5bvln+WH5XflZ+VX5T/lH+Tr5KfkR+PP4z/im+Hj4R/gW9+T3tfeJ92H3Pvcg9wb28vbh9tT2yfbB9rr2tfax9q72q/ap9qf2pfah9pv2lPaL9n/2cvZj9lX2RvY69jD2KfYn9ij2LfY29kL2UPZg9nL2hfaZ9q/2xvbf9vn3Evcs90T3Wfds93z3ifeT9533qPe298f33vf6+Br4Pvhh+IP4n/i1+MD4w/i7+Kv4lfh7+GH4Sfg0+Cb4Hvgd+CH4K/g3+Eb4Vvhn+Hf4h/iW+Kb4t/jI+Nn46/j++RD5Ivk0+UT5VPlj+XD5ffmK+Zf5pvm1+cf52vnw+gn6I/o/+lz6efqX+rT60Prs+wj7JPtB+2D7gfuk+8j77/wY/EL8bfyZ/MX88v0g/U/9fv2v/eD+Ef5B/m/+nP7G/u3/Ef80/1X/d/+a/7//5gAOADgAYgCJAK4AzQDnAPsBCQEUARwBJgE0AUgBZgGNAb8B+gI9AoYC0AMZA18DngPWBAcEMARVBHYElgS3BNsFAQUrBVcFhQWzBeIGDwY6BmUGjwa5BuUHEwdEB3kHsQfrCCcIYwieCNcJDAk+CWsJlAm5CdsJ+AoTCisKQgpXCmsKfwqTCqgKvQrTCugK/AsNCxsLJQspCygLIQsWCwkK+wrvCugK5wrvCwELHAtBC20LngvTDAoMQAxzDKMM0Az5DR4NQg1lDYcNqg3NDfEOFQ44DlsOew6YDrMOyw7gDvQPBg8XDykPOw9OD2MPeQ+QD6gPwA/YD/EQChAlEEEQXhB+EKAQxBDpEQ8RNBFZEX0RnxHAEd8R/RIaEjcSVBJxEo4SqRLEEt4S9hMOEycTQBNaE3cTlhO2E9YT9BQOFCQUNBQ/FEYUTBRTFF0UbhSGFKUUyBTuFRAVKxU8FUAVNhUhFQUU5hTLFLkUtBS8FNEU7xURFTIVSxVZFVkVTBU1FRgU/BTlFNgU1xTiFPcVFBU0FVMVbRWCFZEVmxWkFa8VvBXOFeUV/hYXFiwWOxZAFjwWLhYZFgAV5xXRFcEVuhW8FcUV1RXpFf4WEhYjFjAWORY+FkEWQxZEFkUWRhZHFkgWSBZGFkIWOxYxFiQWFRYEFfIV4BXOFb4VsBWlFZwVlRWRFY0VihWGFYEVehVxFWcVXBVRFUcVPRU0FSwVJBUcFRMVCBT7FOsU2hTHFLQUoRSPFH8UcBRhFFMURRQ1FCQUExQAE+0T2hPHE40TexNqE1kTRxM0Ex4TBRLpEssSrRKPEnISWBJAEisSGBIGEfQR4RHNEbgRohGMEXYRYhFREUERNBEoER4RExEHEPoQ7BDcEMsQuhCpEJkQihB7EGwQXRBNEDsQKBAUD/4P6Q/VD8EPsA+hD5MPhQ93D2cPVA89DyEPAQ7cDrQOiA5aDioN+Q3HDZQNYA0rDPUMwAyKDFUMIwvzC8cLnwt8C14LRQsvCxwLCgr5CugK1QrACqgKjgpyClMKMwoSCfEJ0QmwCZEJcglVCTkJHgkECOsI0wi9CKgIkwh/CGoIVQg9CCQIBwfnB8MHnQd2B04HKAcDBuMGxgatBpoGigZ8BnIGaAZfBlYGTAZBBjcGKwYfBhIGBAX1BeUF1AXABasFkwV6BV4FQQUhBQAE3gS7BJgEdARSBDIEFAP4A+ADzAO6A6oDnQORA4YDewNxA2cDXQNUA0sDQwM7AzMDKgMhAxcDCwL+Au8C3gLNAroCpgKRAnoCYQJHAioCDAHsAcwBrQGPAXQBXAFHATUBJgEXAQkA+gDrANoAyAC2AKUAlgCJAH4AdQBvAGgAYgBaAFAAQwA0ACIAEP/+/+z/2//M/77/r/+h/5H/f/9r/1T/O/8g/wX+6/7S/rr+pf6R/n3+av5W/kD+KP4O/fL91v26/aD9if11/Wb9Wv1T/U79TP1K/Un9R/1D/T/9Of0y/Sr9If0Z/RD9B/z+/PT86/zh/Nj8zvzF/Lv8svyp/KD8lvyL/H/8cvxl/Ff8Svw+/DP8K/wm/CP8I/wl/Cf8K/wu/DL8Nvw7/D/8RPxK/E/8VPxY/Fr8WPxT/Er8Pfwu/Bv8CPv0++D7z/u++7D7o/uX+4v7f/ty+2T7VftG+zf7KPsa+w77Avr4+u/65vre+tX6y/rB+rb6q/qg+pb6jfqF+n/6evp2+nT6c/pz+nP6c/p1+nb6efp9+oH6hvqL+o/6kvqT+pH6jPqE+nr6b/pi+lf6TPpE+j76O/o7+jz6PvpC+kb6SvpP+lT6W/pj+mz6ePqE+pD6nPqn+rH6uvrB+sn60vrc+un6+fsL+x37MPtB+077VftX+1P7Svs8+y37HvsQ+wb7AfsA+wT7DPsY+yf7OPtL+2D7dvuN+6X7vfvW++/8B/wd/DL8RfxW/GT8cPx6/IH8hvyH/Ib8gfx5/G78YfxR/ED8MPwg/BL8B/v++/j79Pvz+/X7+Pv8/AH8CPwO/BX8G/wh/Cb8Kvwu/DH8Nfw4/D38Q/xL/FX8Yfxu/Hz8i/yb/Kr8uvzJ/Nj85/z1/QT9Ef0e/Sr9Nf0//Uf9Tv1U/Vj9W/1c/V39XP1Z/VX9Tv1H/T39Mv0n/Rz9Ef0H/P/8+Pzz/PD87/zw/PP89/z+/Qb9Ef0d/Sr9Of1K/Vv9bP19/Y/9n/2w/cD90f3h/fD+AP4P/h7+Lf46/kf+Uv5d/mj+cv58/oX+j/6Z/qP+rP62/sD+yv7U/t7+6f71/wH/Df8a/yf/M/8+/0n/Uv9a/2H/Z/9s/3D/dP93/3v/fv+B/4X/iP+N/5L/mP+h/6v/t//G/9b/5//5AAoAGQAoADQAPgBHAE8AVgBeAGYAbwB4AIEAigCRAJYAmACXAJMAjQCFAH0AdgBwAG0AbABuAHIAeAB+AIQAigCPAJMAlgCYAJoAnQChAKUAqQCuALIAtgC5ALsAvAC9AL4AwADDAMYAywDSANgA4ADoAPAA+QECAQwBGAEkATEBPgFMAVgBYQFoAWsBaQFjAVoBTwFDATgBLgEoASUBJgEqATABNwE9AUMBSAFKAUsBSwFLAUsBSwFNAU8BUgFUAVYBVgFTAU0BRQE7AS8BIgEWAQsBAgD6APUA8wDyAPMA9QD3APsA/gECAQUBBwEJAQkBCQEHAQMA/wD5APQA7wDrAOkA6QDrAO8A8wD4APwA/wD/AP0A9wDvAOQA1wDIALkAqgCbAI4AggB3AG4AZgBfAFsAVwBVAFMAUwBUAFUAVwBaAF0AYABkAGgAbgBzAHoAgACHAI4AkwCXAJkAmQCWAJIAiwCDAHkAbwBlAFsAUQBHAD4ANQAsACIAGQARAAgAAf/6//b/8v/x//L/8//1//f/+P/4//b/8f/q/+H/1f/I/7r/q/+e/5P/iv+D/4H/gf+D/4j/jv+U/5r/nv+f/57/m/+W/4//h/9+/3X/bf9k/1z/U/9L/0L/OP8v/yX/HP8T/wr/Av77/vX+7v7n/uD+1/7N/sH+tf6o/pr+jf6B/nb+bP5k/l7+Wv5a/lz+Y/5u/nz+j/6l/r7+1/7v/wX/Fv8h/yX/IP8T/v/+4/7D/qD+e/5X/jT+FP33/d79yf23/aj9nP2R/Yn9gv19/Xn9d/14/Xz9g/2N/Zr9qf27/c/95P34/g3+If4z/kX+Vv5m/nX+hf6U/qL+sP67/sP+x/7G/sD+sv6e/oT+Y/4+/hT95/24/Yj9WP0p/P380/ys/Ij8ZvxH/Cv8D/v0+9r7wfuo+5D7eftl+1T7R/s9+zX7Mfst+yn7JPsc+xH7Avrw+tz6xfqv+pn6hvp1+mf6W/pS+kr6Qvo6+jD6JfoY+gn5+vnq+dv5zPm/+bP5qPmf+ZX5jPmC+Xj5bvlk+Vv5UvlL+Ub5Qvk/+Tz5Ofk0+Sv5HPkI+O34yvig+HD4O/gD98n3j/dY9yb2+PbS9rL2mfaG9nj2b/Zq9mb2ZPZj9mL2YPZf9l32W/ZY9lT2UPZJ9kH2N/Yr9h72EPYC9fX16/Xk9eH14/Xq9fT2AvYT9ib2OvZP9mT2efaP9qT2ufbN9uH28vcC9xD3Hfco9zT3QfdR92X3fved98D35fgM+DH4Ufhp+Hj4ffh3+Gf4UPg0+Bb3+Pfd98f3uPeu96v3rfez97z3x/fT9+D37ff7+An4F/gn+Df4SPha+Gz4f/iS+KT4tvjI+Nn46fj5+Qn5Gfkp+Tr5TPlg+XX5jPml+cD52/n4+hT6MfpO+mr6h/qk+sH63/r/+yD7RPtp+5H7u/vo/Bf8SPx8/LL86f0i/Vr9k/3K/gD+Nf5o/pn+yv76/yn/Wf+J/7n/6AAWAEEAagCNAKwAxQDYAOYA8AD2APwBAgELARgBLAFHAWoBlQHHAf4COgJ5ArcC9AMuA2UDmQPKA/kEKARWBIcEuQTtBSIFWAWMBb8F8AYeBkoGdQafBssG+QcrB2IHnAfZCBoIWwibCNgJEglHCXcJoQnFCeUKAAoYCi0KQQpUCmgKfAqSCqkKwQrbCvQLDAsiCzMLPwtEC0ELNwsnCxIK+griCs4Kvwq5CrwKywrlCwkLNwtrC6ML3wwaDFQMiwy/DO8NHA1HDW8NlQ27Dd8OAg4lDkYOZg6FDqIOvQ7WDu4PBQ8bDzAPRQ9bD3APhg+dD7UPzQ/nEAIQHhA7EFoQexCeEMIQ6BEPETYRXhGFEaoRzxHxEhMSMxJSEnASjhKrEsgS4xL/ExkTMxNNE2gThBOiE8IT4xQFFCcURhRhFHYUhRSPFJQUlhSZFJ8UqxS9FNcU9hUXFTUVThVeFWEVWRVGFSwVEBT4FOgU4xTqFPsVExUsFUAVSxVJFTkVHBT3FM8UrBSSFIgUjhSkFMcU8xUjFVEVeRWaFbIVxBXSFd8V7RX+FhEWJBY2FkMWSRZHFjwWKxYVFf8V7RXiFd8V5hX1FgoWIhY6Fk4WXhZnFmsWahZnFmQWYRZhFmQWaRZwFnYWfBZ+Fn0WeBZvFmIWUhZAFi4WHBYLFf0V8RXoFeIV3RXZFdQVzRXDFbYVpBWPFXcVXhVGFS8VGxULFP8U9hTvFOkU4xTcFNMUyBS7FKwUnRSNFH4UbhReFE4UPBQoFBMT/BPlE80TthOhE14TTRM8EywTHBMKEvUS3hLFEqoSjxJ0ElsSRBIwEh4SDRH9Ee4R3hHNEboRpxGUEYERbxFfEVARQxE2ESoRHREQEQEQ8RDfEM0QuhCnEJQQghBwEF8QTBA5ECUQEA/6D+MPzQ+3D6QPkg+DD3UPaQ9cD04PPg8qDxIO9Q7UDq4OhA5XDicN9g3EDZENXg0rDPgMxQyTDGMMNQwJC+ELvQudC4ILbAtaC0sLPgsxCyILEAr6Ct4KvQqWCmwKPwoSCeUJuwmVCXMJVgk9CScJEwkBCPAI3wjOCL0IrAicCIwIfAhqCFYIQAglCAUH4Qe5B44HYgc2BwsG5AbBBqMGiQZzBmEGUQZEBjgGLQYjBhoGEQYIBf8F9AXoBdoFyQW1BZ4FhQVqBU4FMQUTBPUE1gS3BJgEeARZBDkEHAQAA+cD0QO/A7ADpAObA5MDjAOEA3wDcwNpA14DUwNIAz0DMgMoAx0DEQMEAvUC5ALRArwCpAKLAnACUwI1AhcB+AHZAbsBoAGGAXABXQFMAT4BMgEmARsBDgEBAPMA4wDTAMIAsQCiAJIAhAB1AGcAVwBHADUAIwAQ//3/7P/d/9D/xv++/7n/tP+v/6n/of+W/4j/dv9i/0z/NP8b/wL+6f7P/rX+mf58/l3+Pf4a/fb90v2v/Y79cf1Y/UT9Nf0r/Sb9I/0i/SL9Iv0g/R39Gf0T/Qz9Bfz+/Pf88Pzp/OL82vzS/Mn8wPy2/Kz8o/ya/JH8ifyA/Hb8bPxg/FT8R/w7/DD8J/wh/B78Hfwe/CD8JPwn/Cv8Lfwv/DD8Mfwy/DP8M/wz/DP8Mfwt/Cb8HfwS/AT79Pvj+9H7v/uu+537jPt8+2z7W/tL+zr7KfsY+wf6+Prq+t360vrI+sD6uPqx+qv6pfqe+pj6kfqK+oP6ffp3+nL6bfpq+mf6Zvpl+mX6Zvpn+mn6bPpw+nT6ePp8+n/6gfqB+n76efpy+mj6XfpR+kb6PPo0+i/6Lfos+i36Lvow+jD6Mfox+jL6NPo4+j/6SfpV+mT6cvqA+o36l/qg+qb6rPqz+rv6xvrV+uf6+/sP+yL7Mfs8+0H7QPs6+y/7IvsV+wn7APr8+vz7AfsK+xf7KPs8+1L7avuD+577uvvX+/P8D/wq/EP8Wvxu/IH8j/yb/KP8p/yn/KP8mvyP/ID8b/xd/Ev8Ofwo/Bn8C/v/+/X77fvl++D73Pvb+9z73/vl++379/wB/Az8Fvwf/Cf8Lfwz/Dn8QPxJ/FP8YPxu/H78j/yh/LT8xfzW/Ob89P0C/Q39GP0i/Sr9MP02/Tr9Pf0+/T/9Pv08/Tn9NP0t/SX9G/0Q/QT89/zq/N780vzJ/MH8u/y3/Lf8ufy+/Mf80/zi/PT9B/0d/TP9SP1c/W79fv2M/Zn9pf2w/b39yv3a/ev9/v4R/iX+N/5J/ln+Zv5z/n3+h/6Q/pr+o/6s/rb+wP7J/tP+3P7l/u/++f8D/w7/Gf8l/zD/PP9G/1D/Wf9h/2j/bv90/3n/f/+E/4n/jv+S/5b/mv+e/6L/qP+w/7r/x//X/+n//QARACQANgBGAFMAXQBlAGoAbwB0AHkAfwCHAI8AmACgAKYAqQCpAKcAogCaAJMAjACHAIQAhACHAI0AlACcAKMAqACsAK0ArACqAKgApgCmAKcAqgCvALYAvQDDAMoAzgDSANQA1gDWANcA2ADaAN0A4gDoAPAA+QEEARABHQEqATgBRgFTAV4BaAFvAXMBdQF0AXABawFkAV0BVwFSAU4BSwFKAUoBSwFNAU8BUQFTAVUBWAFaAV0BYAFiAWUBZgFnAWYBZAFgAVoBVAFMAUMBOwEyASoBIwEdARgBEwEPAQsBCAEFAQIA/wD8APoA+AD3APUA8wDwAO4A6wDoAOUA4gDfAN4A3QDdAN0A3wDhAOMA5QDmAOcA5gDjAN4A1wDPAMQAtgCoAJgAiAB4AGoAXQBTAEwARwBFAEYASQBOAFMAWABeAGMAaABtAHIAdwB9AIIAiACOAJMAlwCaAJoAmQCWAJAAigCCAHkAcABnAF4AVABLAEAANgAsACEAFwANAAX//v/4//T/8v/x//D/7//t/+v/5//i/9v/1P/M/8P/u/+z/6z/pf+g/5v/l/+U/5L/kf+R/5H/kf+R/5H/kP+P/47/i/+J/4b/g/+B/3//ff97/3j/df9w/2n/Yf9Y/07/Q/85/zD/KP8g/xr/Ff8Q/wr/BP78/vT+6v7f/tT+yv7B/rn+tP6w/q/+sP60/rn+wf7M/tn+6f78/xH/J/8+/1T/aP94/4L/h/+F/3z/bP9W/zz/Hv79/tz+vP6c/n/+Zf5M/jf+JP4T/gT99v3r/eH92f3U/dH90f3V/dz95/31/gb+Gv4v/kX+XP5z/on+nv6y/sT+0/7e/ub+6f7n/t7+0P67/qD+f/5a/jL+CP3d/bP9if1h/Tz9GPz4/Nn8vfyj/Ir8cvxa/EL8KfwP+/X72vu/+6X7jPt2+2L7UvtD+zf7K/se+xD6/vrp+tH6t/qb+oH6aPpS+kH6Nfot+in6KPom+iX6IPoZ+g76APnv+d35yvm4+af5mPmL+YD5dvlt+WX5XflU+Uv5Qvk4+S/5J/kg+Rv5F/kV+RP5EPkL+QP49/jl+Mv4q/iD+FT4H/fl96n3bPcw9vj2xPaX9nL2U/Y89iv2IPYZ9hb2FPYT9hP2EvYS9hH2EPYO9gz2CPYD9fz18/Xo9dr1y/W89a71ofWZ9ZX1l/We9av1u/XO9eP1+PYM9h/2MPZA9k72W/Zo9nT2f/aL9pb2ovat9rr2yfbb9vD3Cvcp90v3cfeX97z33ff3+An4EvgR+Ab38/fa9733n/eD92n3VPdE9zr3Nfc09zb3PPdE9033V/dj92/3fPeK95n3qPe498j32ffr9/74Evgm+Dr4UPhl+Hr4jvij+Lf4yvje+PL5Bvkc+TL5Svlj+Xz5lvmx+cz55/oB+hz6N/pU+nH6kPqx+tX6/fsp+1n7jPvE+/78O/x6/Ln8+f04/Xf9tf3y/i7+av6m/uL/Hf9W/43/wP/wABsAQQBjAIAAmgCxAMYA2gDtAQABEgEkATcBSgFeAXMBjAGoAccB6wISAj0CawKaAswC/gMyA2YDnQPVBBAETQSMBM0FDgVOBYwFxgX+BjIGYwaUBsQG9gcrB2MHnwffCCAIYgiiCN8JFwlKCXcJnQm9CdgJ7woDChYKKQo8ClEKZwp/CpkKtArPCuoLAgsYCygLMws3CzMLJwsVCv4K5ArJCrAKnQqRCo8KmAqsCswK9gsoC2ALnQvbDBkMVQyPDMUM+A0nDVMNfQ2lDcsN8A4TDjYOWA55DpkOuQ7XDvQPEA8qD0MPWw9xD4cPnQ+zD8oP4g/8EBgQNhBVEHcQmRC8EOARBBEoEU0RchGWEboR3hICEiUSRxJpEosSqxLMEusTCRMnE0UTYRN+E5wTuhPaE/sUHRRAFGMUhBSiFLwU0RThFOsU8xT5FP8VBxUTFSMVNBVGFVUVXxVgFVcVRBUpFQoU6xTRFMEUvRTFFNkU9BURFSsVOxU/FTUVHxUAFN0UvRSmFJsUnxSyFNIU+RUkFU4VdBWUFa4VxBXYFewWAxYcFjYWUBZlFnQWehZ1FmgWVBY+FigWGRYSFhUWIxY4FlMWbhaGFpkWpRaoFqYWnhaVFowWhhaDFoMWhxaMFpEWlRaVFpEWiRZ9Fm0WWhZHFjMWIRYRFgUV/BX2FfMV8RXwFewV5BXWFcMVqRWJFWYVQBUcFPsU3xTJFLoUsRStFKwUrBSrFKgUohSZFI0UfxRvFF4UTRQ6FCcUExP9E+YTzhO2E54ThxNyEz0TLBMbEwsS+xLpEtYSwRKqEpQSfRJmElESPRIqEhkSCBH5EekR2RHJEbgRpxGXEYgReRFrEV4RUBFDETQRJREUEQIQ7hDZEMQQrhCYEIIQbRBZEEQQLxAaEAUP7w/aD8UPsQ+fD44PgA90D2kPXw9UD0cPOA8lDw0O8A7PDqgOfg5QDiAN7w29DYsNWQ0pDPkMygybDG4MQgwZC/ILzguvC5ULfwtuC2ALVQtJCzsLKQsRCvMKzQqgCm4KOgoGCdUJqgmFCWgJUwlDCTgJLwkmCRsJDwj/CO4I2wjHCLQIoQiOCHoIZQhMCC8IDQfmB7sHjgdfBzEHBQbdBrgGmAZ8BmQGTwY9Bi0GHwYTBgkGAAX5BfEF6QXeBdEFwQWtBZYFfAVhBUUFKQUNBPIE2AS+BKIEhgRpBEsELAQPA/QD3APJA7oDrwOnA6EDnAOXA48DhgN6A20DXQNOAz8DMAMiAxUDCAL6AusC2wLIArMCmwKCAmYCSgItAhAB8wHXAbwBowGMAXgBZQFVAUcBOwEwASYBGwERAQUA+ADqANoAyQC2AKEAiwBzAFkAPgAjAAf/7f/U/73/q/+c/5L/jf+L/4z/kP+V/5n/nf+e/5v/lf+L/3z/af9S/zj/G/77/tr+uP6U/m/+Sf4i/fv91P2v/Yz9bP1Q/Tn9KP0c/RX9Ev0S/RL9E/0T/RH9Df0H/QD8+Pzx/On84vzb/NT8zfzF/Lz8s/yp/J/8lfyL/IL8evxz/Gv8Y/xa/FH8R/w+/DX8Lvwp/Cb8Jvwo/Cr8Lvww/DL8Mfwv/Cz8KPwj/B78GfwV/BH8DPwH/AD7+Pvt++H70/vD+7L7oPuO+3z7aftX+0T7Mvsg+w76/frt+t36z/rC+rf6rfql+p/6mfqV+pL6j/qN+or6h/qD+n/6e/p2+nH6bvpr+mn6afpq+m36cPp0+nj6fPp/+oP6hvqJ+ov6jfqO+o/6j/qO+oz6ifqG+oP6gPp9+nv6efp3+nX6cvpt+mf6YPpY+lD6SvpH+kf6TPpU+l/6bfp6+of6kfqY+pz6n/qf+qD6o/qp+rL6vfrL+tn65vrw+vb6+Pr2+vH66vrj+t763Prd+uP67fr7+wv7Hvsz+0j7Xvt1+4z7pPu9+9b78PwL/Cb8QPxa/HL8h/yY/KT8rPyt/Kj8nfyO/Hv8ZfxP/Dn8JfwT/AT7+Pvt++P72vvS+8r7w/u9+7r7ufu8+8L7y/vW++L77/v7/Ab8Efwa/CP8LPw3/EP8Ufxi/HT8iPyc/LD8w/zV/OX88vz+/Qb9Df0R/RP9FP0T/RH9D/0M/Qn9Bf0A/Pv89fzt/OT82fzO/ML8tvyr/KD8l/yQ/Iv8iPyJ/Iz8lPyf/K/8xPzb/Pf9E/0x/U39Zv17/Yv9l/2f/aX9qf2v/bb9wv3R/eP9+f4R/in+Qf5W/mn+ev6I/pX+oP6r/rX+wP7K/tX+3/7o/vH++f8B/wn/Ef8Z/yP/LP82/0H/Sv9T/1r/Yf9m/2v/cP90/3n/f/+F/4z/kv+Y/57/o/+o/63/s/+7/8b/0//k//cACwAhADcASwBdAGsAdgB+AIMAhgCIAIsAjwCUAJsAowCrALIAuAC7ALsAuQC1AK8AqgClAKMAowCmAKsAsgC6AMEAxwDLAMwAywDHAMMAvwC8ALoAuwC+AMQAzADUANwA5ADqAO4A8QDzAPQA9AD1APgA+wEBAQkBEgEdASoBNwFEAVIBXgFqAXMBfAGCAYcBiwGNAY0BjAGKAYcBgwF9AXcBcQFrAWYBYgFfAV4BYAFjAWkBbgF1AXsBgAGDAYQBgwF/AXoBdAFtAWUBXgFXAVEBSwFHAUMBPwE8ATgBNAEwASsBJgEgARoBEwENAQcBAQD8APcA8gDvAOwA6gDoAOcA5gDlAOQA4wDiAOAA3wDeAN4A3gDeAN8A4ADgAN4A2wDVAMsAvwCvAJ0AiQB1AGIAUQBDADgAMwAxADMAOAA/AEcATwBYAF8AZwBtAHIAdwB7AH4AgQCDAIQAhACDAIEAfgB7AHgAdABxAG0AagBmAGEAXABVAE0ARAA6ADAAJQAbABMADAAGAAH//v/6//b/8f/q/+L/2P/N/8L/t/+u/6b/of+e/57/n/+h/6P/pv+n/6f/pf+i/57/mf+T/43/h/+B/33/ev95/3n/e/9+/4P/if+P/5T/mf+b/5z/mv+W/4//h/9+/3T/av9h/1f/Tv9F/zz/M/8p/x//FP8K/wD++P7x/uz+6f7o/uj+6v7t/vH+9f75/v7/A/8K/xH/G/8m/zL/P/9M/1n/Y/9r/3D/cf9t/2X/Wf9I/zX/H/8I/vD+2f7C/q3+mf6I/nn+a/5e/lP+Sf5A/jn+M/4w/i/+Mf42/j/+S/5a/mv+fv6R/qT+tv7G/tL+2/7e/tv+0v7C/qv+jv5s/kb+Hv31/cz9pf2B/WD9Qv0n/Q789/zi/M38ufyl/JH8ffxo/FT8Pvwo/BH7+vvi+8v7tfug+437e/tq+1n7R/sz+xz7Afrk+sX6pvqI+m36V/pG+jr6NPoy+jL6Mvow+ir6H/oQ+fz55fnM+bL5mfmC+W75XPlO+UL5OPkw+Sj5IfkZ+RL5C/kF+P/4+vj1+PL47/jt+Or45vjf+NX4x/i0+Jv4e/hU+Cf39fe994L3RvcK9s/2mPZn9jv2F/X59eL10vXH9cD1vPW79bv1u/W89bz1vPW79bn1tfWv9aj1nvWS9YT1dfVm9Vn1T/VJ9Un1TfVY9Wf1evWO9aP1t/XI9df14vXq9fH19vX69f/2BfYL9hP2HfYo9jX2RPZW9mz2hPag9sD24vcE9yb3Rfdf93P3gPeD93/3dPdi90z3NPcb9wP27fbb9s32wva79rj2t/a59r32w/bL9tP23fbo9vP2//cM9xr3Kvc890/3Zfd995f3svfO9+r4Bfgf+Df4Tvhj+Hb4ifib+K74wfjV+Or5APkX+S/5SPlh+Xr5lPmv+cr55/oG+ij6Tfp2+qP61fsM+0b7g/vD/AT8R/yK/M39EP1U/Zj93f4j/mf+q/7r/yj/X/+Q/7z/4gAEACMAQQBgAIAAowDHAOsBDgEwAU0BZgF7AYsBmgGnAbUBxgHaAfMCEAIyAlcCgAKsAt0DEgNLA4kDywQTBF0EqQT2BUEFiQXNBg0GSgaEBr0G9gcwB2wHqgfqCCoIaAikCNsJDQk5CV8JgAmbCbMJygnfCfYKDQomCkAKXAp5CpYKsgrMCuQK+AsICxMLGAsXCxELBArzCt0KxgquCpgKhgp7CngKfgqQCqwK0gsACzULbwurC+gMJAxfDJYMzAz+DS4NXQ2JDbQN3g4HDi4OVA55Dp0OwA7hDwAPHg87D1UPbQ+ED5oPsA/HD98P+RAVEDQQVRB3EJoQvRDgEQERIhFCEWERgRGhEcIR5BIHEisSTxJzEpYSuhLcEv4THxNAE2ITgxOlE8cT6RQLFC0UUBRzFJUUtxTYFPYVEhUrFT8VURVgFWwVdxWCFYsVlBWZFZsVlhWKFXYVWRU3FRAU6xTLFLQUqhSuFMAU3BT+FSEVQRVXFWMVYxVZFUgVNBUjFRYVERUVFSAVMhVGFVsVcBWEFZkVrxXKFekWDRY1Fl8WhxaoFr8WyxbJFrwWphaMFnQWYRZXFlgWYxZ2Fo8WqRbAFtIW3RbhFt8W1xbOFsQWvRa3FrQWsxazFrMWsBaqFqEWlBaDFm4WWBZBFikWExYAFfEV5hXfFdsV2hXYFdQVyxW8FaYVhxVhFTcVChTfFLgUmBSBFHMUbBRsFG8UdBR4FHgUdBRsFGAUURQ/FCwUGRQGE/IT3xPLE7YToROLE3YTYhNPEyoTFxMFEvQS4hLQEr0SqhKYEoUSchJgEk8SPRIsEhsSChH4EecR1RHEEbMRoxGUEYUReBFqEVwRThE+ES0RGxEIEPQQ3xDJELMQnRCHEHEQWxBEEC4QFxABD+wP1g/CD68Pnw+PD4IPdg9sD2IPWQ9ND0APLw8bDwIO5A7CDpwOcw5HDhkN6g27DYwNXg0vDQEM0wykDHYMSAwbC/ELyQulC4YLbQtYC0kLPAswCyILEQr7Ct0KtwqMClsKKAn3CcoJpAmICXQJaglnCWgJaQlpCWUJWwlLCTUJGgj+COAIwwinCIwIcQhVCDgIFwfzB80HpAd6B1AHKAcDBuEGwwanBo0GdgZgBksGOAYnBhcGCgX+BfMF6QXeBdAFwQWuBZkFgQVpBVAFOAUhBQsE9QTfBMcErQSRBHMEUwQ0BBYD+wPlA9MDxwO+A7gDswOuA6YDmwOOA30DagNWA0IDLgMcAwsC+wLrAtoCyQK3AqICjAJ1Al0CRAIrAhMB+wHjAcwBtQGfAYoBdQFiAVABQAEyASQBGQENAQMA9wDrANwAzAC4AKIAiABrAEwALAAK/+r/y/+u/5X/gf9w/2X/Xv9c/17/Yv9q/3L/ev+B/4b/iP+F/3z/b/9b/0P/Jv8F/uP+v/6b/nj+VP4x/g/97P3K/an9iv1t/VT9Qf0y/Sj9Iv0g/SD9IP0f/Rz9Fv0O/QP8+Pzs/OD81vzM/MT8vPy0/Kz8o/ya/JD8h/x+/HX8bvxn/GH8WvxT/Ez8RPw8/DT8L/wq/Cj8J/wp/Cv8LPwt/Cz8Kfwj/Bz8FPwL/AL7+fvy++r75Pvc+9T7y/vA+7T7pvuX+4b7dftk+1P7Qfsw+x77DPr7+ur62vrL+r36sPql+pz6lPqO+on6hvqD+oH6gPp/+n36e/p4+nT6cPps+mj6Zvpl+mf6a/py+nv6hfqP+pj6ofqo+q36sPqz+rb6ufq++sT6y/rT+tv64/rq+u768frx+u766Prh+tf6y/q9+q76nvqO+n/6cfpm+l/6XPpd+mL6afpy+nr6gfqF+ob6hfqC+n36efp2+nX6d/p7+oH6hvqL+o76j/qP+o76jPqN+pD6l/qi+rL6xfrb+vL7Cvsh+zf7S/td+2/7gPuR+6T7uPvO++f8Avwe/Dr8Vvxu/IP8kvyZ/Jn8kfyD/G78V/w+/CX8Dvv7++v73/vV+8z7xfu++7b7rvun+6H7nvud+5/7pfut+7f7wvvO+9n75Pvv+/n8BPwR/B/8L/xB/FT8afx+/JP8p/y5/Mn81vzh/Of86/zr/Oj84/zd/Nb8zvzH/MD8ufyz/K38pvyf/Jf8jvyE/Hv8cvxq/GT8YPxe/F78Yfxo/HH8f/yS/Kn8xfzl/Qf9Kv1M/Wv9hP2Y/aX9rP2v/a/9rv2w/bX9v/3P/eT9/P4X/jL+TP5k/nr+jf6e/q3+vP7K/tj+5f7z/v//C/8V/x7/J/8u/zb/Pf9G/1D/Wf9j/2z/dP96/37/gP+B/4H/gP+A/4L/hP+I/47/lP+b/6L/qP+v/7X/vf/F/9D/3v/vAAIAFwAuAEUAWwBvAH8AjQCXAJ4AogClAKcAqgCtALIAuAC/AMYAzADRANQA1ADTAM8AywDGAMMAwADAAMIAxQDKANAA1QDZANwA3QDcANoA2ADWANUA1gDZAN0A5ADrAPQA/AEDAQoBDwETARYBGAEaARwBIAElASwBNAE+AUoBVQFhAWwBdgF/AYYBjAGQAZQBlwGZAZsBnAGcAZoBlwGSAYsBgwF7AXMBbQFqAWoBbQFzAXwBhQGPAZcBnQGgAaABnAGWAY4BhAF7AXMBawFlAWABXAFZAVcBVAFSAVABTQFLAUgBRAFAATwBOAEyAS0BJgEfARkBEgEMAQcBAgD/AP0A+wD6APkA+AD2APQA8QDuAOsA6QDmAOUA5ADiAOAA2wDVAMsAvgCuAJsAhwByAF4ATAA9ADIAKwAoACkALgA0ADwARQBOAFgAYABnAG4AcgB2AHcAdwB1AHIAbQBoAGQAXwBcAFoAWgBbAF0AXwBhAGIAYgBfAFsAVABMAEMAOQAvACYAHgAXABIADQAIAAL/+//y/+j/3P/P/8L/tf+q/6L/nP+Z/5n/m/+f/6P/p/+q/6v/q/+p/6b/of+b/5X/j/+K/4b/hP+E/4b/iv+P/5f/n/+o/7H/uf/A/8b/yf/K/8n/xv/A/7j/r/+k/5n/jf+B/3X/af9d/1H/Rv88/zL/Kv8j/x3/Gv8X/xb/Fv8W/xf/F/8X/xb/Ff8T/xD/Dv8N/w3/D/8S/xj/H/8n/zD/OP8+/0L/Q/9B/zr/MP8k/xT/BP70/uP+1f7H/rv+sf6n/p3+lP6K/oD+d/5t/mb+Yf5e/l/+Yv5p/nL+fP6H/pH+mf6e/qD+nf6V/oj+df5d/kH+Iv4A/d39u/2b/X39Yv1L/Tb9JP0T/QL88fzf/Mz8uPyl/JH8fvxs/Fr8Sfw5/Cf8FvwD+/D73PvJ+7b7ovuP+3v7ZvtQ+zf7HPr/+uL6xvqs+pb6hfp4+nD6a/pn+mP6XPpQ+kD6KvoP+fD5z/mu+Y75cPlW+UD5Lfke+RL5CPkA+Pn49Pjx+O747Pjq+On46Pjm+OP44Pjb+NT4y/jA+LH4oPiK+G/4T/gp9/73zfeY91/3I/bm9qr2b/Y59gf12/W29Zj1gfVx9Wb1YPVe9V71YPVi9WT1ZPVk9WH1XPVV9Uz1QfU09Sf1GvUP9Qf1AvUC9Qb1EPUd9S71QfVU9Wb1dvWD9Yz1kvWV9Zb1lfWV9ZX1lfWY9Z31pPWs9bf1xPXT9eX1+fYQ9ir2RfZh9n32mPav9sP20fba9tz22vbS9sb2t/an9pb2hfZ19mj2XPZT9kz2R/ZF9kT2RfZI9kz2UvZY9mD2afZ09oD2kPai9rf20Pbr9wr3KvdL92v3i/eo98L32fft9/74Dvgd+Cv4OvhJ+Fr4bfiC+Jj4sPjJ+OP4/fkZ+TX5Uvlx+ZL5tvnd+gf6Nfpo+p361vsS+1D7jvvP/BD8UvyX/N39Jf1v/bn+A/5L/o/+zf8F/zf/Yv+J/67/0v/4ACEATAB7AKoA2AEEASoBSQFiAXUBgwGOAZcBoQGtAbwBzgHjAf0CGwI+AmYClQLMAwsDUQOfA/IESASeBPMFRQWRBdkGHQZdBpsG2QcXB1cHlwfYCBcIUwiLCL4I6wkTCTUJUwlvCYkJowm+CdsJ+goaCjsKXQp9CpwKtwrOCuEK7wr4Cv0K/Qr5CvAK5ArUCsIKrgqZCoUKdApnCmEKYwpuCoUKpQrOCv8LNgtxC64L6wwnDGEMmgzQDQUNOA1rDZwNzA36DicOUg56DqAOxQ7nDwcPJQ9CD10Pdg+PD6cPvw/ZD/QQEhAyEFQQeBCdEMEQ5REGESYRRBFgEXwRmBG2EdUR9xIaEj4SYhKGEqkSyxLsEw0TMBNTE3kToRPKE/QUHhRHFG0UkhSzFNMU8hUQFS0VSRVlFYAVmRWvFcMV1BXiFe0V9BX5FfoV9hXsFdwVxhWpFYcVZBVEFSgVFhUQFRcVKhVHFWsVkBW0FdAV5BXuFe4V5hXZFckVuRWrFaAVmBWTFZIVlBWbFakVvRXbFgAWLRZgFpMWwxbsFwkXGBcZFw0W9xbdFsIWrBaeFpkWnxatFsEW1xbsFv0XCRcPFxAXDRcIFwAW+RbyFuwW5hbgFtkW0RbHFroWqhaYFoIWahZPFjQWGBX/FegV1hXIFb8VuRW0Fa4VpBWTFXoVWRUwFQIU0RSiFHkUVxRAFDIULhQwFDYUPhREFEYUQxQ7FC8UIBQPE/4T7BPbE8sTuxOqE5kTiBN1E2ITTxM8ExQTARLuEtwSyxK7EqoSmxKLEnwSbhJfElASQBIwEh8SDRH7EegR1RHDEbERoBGQEYERcRFhEVERPxEtERoRBhDyEN4QyxC3EKQQkBB7EGYQUBA6ECIQCw/0D90PyA+zD6EPkA+AD3IPZg9ZD00PQA8yDyIPEA76DuIOxQ6mDoMOXg44Dg8N5Q27DZANYw02DQcM2AymDHQMQgwQC+ALsguJC2YLSAsxCx4LEAsECvcK6ArVCrwKnQp3Ck0KIgn4CdIJtAmeCZMJkAmVCZ0JpQmrCaoJoQmOCXQJUgksCQMI2gizCI0IawhKCCoICgfqB8kHqAeGB2YHRgcpBw4G9AbcBsQGrQaVBnwGZAZMBjUGIAYMBfsF6wXbBcwFvAWrBZkFhwV0BWEFTwU+BS0FHAUKBPUE3wTEBKcEiARnBEgEKwQRA/0D7QPhA9cDzwPHA70DsQOhA44DeQNiA0wDNQMgAwwC+QLnAtUCwwKwApwChwJxAlsCRQIvAhoCBQHwAdoBxQGvAZkBggFrAVYBQQEuARwBDAD+APEA5QDZAMwAvQCtAJkAhABrAFAAMwAV//j/2//A/6f/kP99/23/YP9X/1D/Tf9N/07/Uv9W/1r/XP9b/1b/TP88/yj/EP70/tf+uv6e/oL+aP5O/jX+Gv3+/eH9w/2l/Yr9cv1e/U/9Rf0//Tz9Of01/S/9Jv0a/Qv8+vzp/Nn8yvy+/LP8qvyi/Jr8kvyK/IH8efxx/Gn8Y/xd/Ff8UPxK/EL8Ovwy/Cr8Ivwd/Bn8FvwV/BX8FPwS/A/8CvwC+/n77/vl+9v70fvJ+8H7ufux+6j7nvuT+4b7ePtq+1r7S/s8+y37H/sQ+wL68/rk+tX6x/q6+q76o/qa+pL6jPqH+oP6f/p8+nn6dvpy+m76afpk+l/6WvpV+lP6UvpV+lv6ZPpw+n76jvqd+qv6t/rA+sf6y/rO+tH61vre+uj69vsF+xb7Jfsy+zr7Pfs7+zL7JfsU+wD67PrW+sL6rvqc+ov6fPpv+mT6W/pU+lD6TvpO+k76TvpN+kr6Rvo/+jj6Mfor+ib6I/oi+iP6Jfon+ir6K/os+i36MPo0+jz6SfpZ+m/6iPqk+sH63vr5+xP7Kfs8+0z7Wvto+3X7hPuV+6n7wPvZ+/X8Evwu/Ej8XPxr/HH8cPxn/Ff8Qvwr/BL7+/vn+9b7yfu++7b7r/uo+6D7mfuS+4z7h/uF+4X7iPuN+5X7nful+677t/vB+8r71fvh++/7/vwP/CH8NPxI/F38cPyC/JP8ofys/LP8tvy2/LL8q/yh/Jf8i/yA/Hb8bPxj/Fv8U/xL/EP8PPw0/C/8Kvwo/Cn8LPwz/D38SfxZ/G38hPyf/L384P0E/Sn9Tv1v/Yv9of2w/bj9u/25/bb9tP21/bv9x/3Y/e7+B/4i/j7+WP5w/ob+m/6u/sD+0/7l/vj/Cf8a/yr/OP9F/1D/Wv9k/27/ef+F/5H/nf+o/7H/uP+8/7z/uv+2/7D/qv+l/6L/of+i/6T/qf+u/7T/u//B/8n/0f/a/+X/8gACABQAKAA9AFIAZwB8AI4AngCrALUAvQDDAMgAywDPANIA1gDbAN8A5ADpAOwA7gDvAO4A6wDoAOQA4ADdANoA2QDaANsA3gDhAOQA5wDpAOsA7QDvAPIA9QD6AP8BBgENARUBHQElASwBMgE3ATsBPgFAAUIBRQFIAUwBUgFZAWIBbAF3AYEBigGSAZkBnwGjAaYBqAGqAawBrAGsAaoBpwGhAZoBkgGJAYIBfQF7AX0BggGKAZUBnwGpAbEBtgG3AbQBrgGmAZ4BlQGNAYcBggF/AXwBegF4AXYBcwFwAW4BbAFqAWkBaQFqAWoBagFpAWYBYgFcAVQBTAFCATkBMQEqASQBHwEcARkBFwEVAREBDgEJAQQA/wD5APMA7gDoAOIA2gDRAMYAuQCqAJgAhwB1AGMAVABGADwANQAwAC8AMAAzADgAPwBHAE8AWABgAGgAbgByAHMAcgBvAGkAYwBcAFUATwBLAEkASQBMAFAAVABZAF4AYQBiAGEAXQBYAFEASAA/ADYALQAlAB4AGAATAA4ACgAF////+P/w/+f/3v/V/8z/xP+9/7n/tv+1/7X/tv+4/7r/u/+9/73/vv+9/73/vP+8/7z/vP+9/7//wv/G/8r/z//U/9n/3//l/+r/7//z//b/9//2//L/7f/l/9v/z//D/7b/qf+d/5L/iP9//3f/b/9o/2H/XP9X/1T/U/9U/1f/W/9g/2T/af9r/2z/av9n/2H/W/9V/0//S/9I/0f/R/9J/0r/Sv9J/0X/P/82/yv/H/8S/wb++v7v/uT+2f7O/sP+tf6n/pj+iP55/mz+Yf5a/lf+V/5a/l7+Y/5m/mb+Y/5b/lD+QP4t/hf+AP3n/c79tf2e/Yj9df1l/Vb9Sv0//TT9Kf0b/Qz8+fzl/M78t/yg/Iv8ePxn/Fn8TPw//DL8JPwV/AT78fve+8v7ufun+5b7hft0+2L7T/s8+yf7E/sA+u/64frU+sr6v/q0+qX6k/p7+l/6PvoZ+fP5zfmo+YX5Z/lM+TX5I/kT+Qf4/fj2+PL48Pjw+PL49fj3+Pj49/j0+O745fja+Mz4vPiq+Jf4gvhq+E/4L/gL9+L3s/d+90X3CfbK9ov2TPYR9dn1p/V89Vj1O/Um9Rj1D/UM9Qz1DvUQ9RL1EvUR9Qz1BvT99PL05vTb9ND0x/TC9L/0wfTG9M/03PTr9Pv1C/Ua9Sj1MvU69T71QPVA9T71O/U49Tb1NfU09Tb1OfU99UP1S/VV9WH1b/V/9ZH1pPW59c714vX29gj2F/Yk9i32NPY39jf2NfYx9iv2JfYd9hb2D/YJ9gP1//X79fn1+PX49fn1+/X/9gP2CfYR9hv2KfY79lD2afaG9qb2yfbs9w/3L/dN92f3ffeP9533qfez97z3xvfS99/37vgA+BT4KvhC+Fv4dviS+K74zPjq+Qr5LPlQ+Xf5ofnP+gD6M/pp+qD62fsT+077jPvM/BD8WPyj/PH9QP2Q/d3+Jf5o/qT+2v8K/zf/Yv+O/7v/6gAcAE4AgACvANkA/gEdATUBSQFYAWUBcAF6AYUBkAGdAawBwAHbAf4CLAJlAqoC+QNSA68EDwRtBMYFGQVjBacF5QYgBloGlQbSBxEHUgeTB9MIEAhJCH0IrAjVCPwJHwlBCWIJhAmmCcoJ7goSCjUKVwp3CpQKrQrCCtIK3grlCugK5wriCtoKzgq+CqwKlwp/CmcKTwo6CisKJQooCjcKUgp5CqoK5AskC2YLqgvtDC0MawymDN8NFw1MDYENtA3lDhQOQQ5rDpMOuA7bDv0PHg89D1sPeA+VD7EPzg/rEAoQKhBMEHAQlBC5EN4RABEhET8RWxF2EZIRrhHNEe8SEhI4El0SghKlEsYS5RMDEyITRBNpE5QTwxP2FCsUYBSSFMAU5xUHFSIVORVOFWIVeBWPFagVwRXaFfIWBhYYFiYWMhY8FkUWTBZTFlYWVhZRFkcWORYnFhQWAxX3FfQV+hYJFiEWPxZeFnsWkhagFqQWnxaQFnwWYxZJFjEWGxYKFf4V+RX8FgYWGRY0FlcWgBasFtgXABchFzgXQxdDFzgXJhcQFvoW6RbeFtoW3xbpFvkXCRcaFycXMRc3FzkXNxczFywXJBcbFxEXBxb8FvIW5xbcFtAWwxazFqAWihZwFlMWMxYTFfYV2xXGFbYVqxWiFZoVjhV8FWIVPxUUFOQUsRR/FFMULxQWFAYUARQCFAcUDRQSFBMUERQKFAAT9BPnE9oTzRPAE7MTphOXE4gTdhNjE1ATOxMnEvMS4xLVEscSuhKuEqISlRKJEnwSbxJhElISQxIzEiESDxH8EekR1hHEEbMRoRGQEX8RbhFbEUgRNBEfEQsQ9xDkENIQwBCuEJwQiBB0EF0QRRAtEBQP+g/iD8sPtQ+gD4wPeQ9nD1YPRA8zDyMPEg8BDu8O3Q7IDrIOmg5/DmEOQQ4eDfoN0w2qDX8NUw0kDPQMwwyQDF0MKwv6C8wLoQt7C1kLPQsmCxQLBQr4CuwK3wrPCrsKoQqECmIKPwocCf0J4gnOCcMJvwnBCccJzgnRCc4JxAmvCZEJawk/CQ8I3givCIIIWgg2CBYH+AfdB8IHqAeOB3UHXAdEBy0HFwcBBusG0wa7BqEGhQZpBk0GMgYXBf8F6AXSBb8FrQWbBYoFegVrBVwFTwVCBTUFKAUbBQsE+QTlBM0EsgSWBHoEXgRDBCwEGAQGA/cD6gPcA84DvgOsA5gDggNsA1UDPwMqAxcDBALzAuIC0AK+AqoClgKAAmoCUwI8AiUCDgH4AeEBywG0AZ0BhgFvAVkBQgEtARkBBgD0AOMA1ADFALcAqgCbAIwAfABrAFgARAAvABkAAv/r/9T/vf+o/5L/fv9s/1z/Tf9C/zj/Mv8u/yv/KP8k/x7/Ff8J/vn+5v7S/r7+qv6X/ob+d/5n/lf+Rf4w/hf9/P3f/cL9pv2N/Xn9af1d/VT9TP1F/Tv9MP0h/RD8/fzq/Nj8yPy5/K38o/yZ/JD8hvx9/HP8afxg/Fj8UfxK/EX8P/w5/DL8Kvwh/Bj8D/wI/AH7/Pv4+/X78vvu++n74/vb+9L7yPu++7T7q/uj+5z7lPuM+4P7eftu+2H7U/tG+zj7Kvse+xL7B/r7+vD65fra+s/6xPq5+rD6p/qg+pr6lfqR+oz6hvqA+nn6cfpp+l/6V/pO+kf6Qvo/+j/6QvpH+lD6XPpp+nj6hvqT+p/6p/qs+q/6sPqx+rP6uPrC+s/64fr2+wz7IPsv+zn7O/s1+yf7FPr9+uX6zfq4+qf6mPqN+oL6efpw+mX6WvpN+kH6Nfoq+iD6F/oO+gX5+/nw+eb52/nR+cr5xfnC+cP5xvnL+dL52Pne+eT56/ny+fz6Cfoa+i/6SPpl+oP6ovrB+t76+PsP+yP7M/tC+0/7XPtp+3j7ivud+7P7y/vi+/n8Dfwc/Cb8Kfwm/B78EfwA++/73vvO+8D7tfur+6L7mvuR+4n7gPt4+3L7bftr+2z7b/t0+3r7gfuI+4/7lvud+6X7rvu4+8P70fvg+/D8AvwU/Cb8OPxJ/Fn8Z/xy/Hr8fvx9/Hn8cfxm/Fj8Svw7/C38H/wS/AX7+vvv++b73vvZ+9f72fvf++r7+vwP/Cf8Q/xj/IT8qPzO/PX9HP1C/WX9hP2e/bL9v/3F/cb9w/2+/bv9uv2+/cf91v3p/gD+GP4x/kn+Yf52/ov+oP60/sn+3/70/wr/H/8z/0X/Vf9k/3P/gf+P/53/rf+8/8v/2f/k/+3/8v/z//D/7P/l/97/1//R/83/y//L/83/0P/U/9n/3v/k/+v/8//7AAYAEQAfAC4APgBOAGAAcQCCAJMAowCyAL8AzADWAN8A5wDtAPIA9gD5APwA/wECAQQBBgEIAQkBCQEJAQcBBQECAP8A/AD5APgA9wD3APgA+gD+AQEBBgELAREBFwEdASQBLAEzATsBQgFKAVEBVwFcAWABYgFkAWQBZQFlAWcBawFwAXgBggGOAZoBpgGyAbwBxQHMAdEB1QHXAdkB2QHYAdUB0AHJAcEBuQGwAakBpQGkAaYBrAG0Ab0BxgHNAdAB0AHNAcYBvgG1Aa0BpgGiAaEBoQGjAaUBpgGnAaYBpAGhAZ4BnAGbAZoBmwGeAaABogGjAaMBoAGaAZIBiQF9AXEBZgFaAVEBSQFCAT0BOAE0ATABKwEmAR8BFwEPAQYA/ADyAOgA3gDSAMYAuQCqAJsAjAB9AG8AYQBWAEwAQwA9ADgANgA1ADYAOQA/AEUATQBWAF4AZQBrAG4AbgBsAGcAYQBaAFMATQBIAEUARABFAEgATABQAFUAWgBeAGAAYABfAFsAVABMAEMAOQAvACcAIQAcABsAGwAeACEAJAAmACcAJgAjAB4AGAARAAoABP////v/+f/4//n//P//AAIABgAJAA0ADwASABQAFgAXABgAGAAYABgAFwAXABcAGAAaAB0AIQAmACsALwAyADMAMQAsACQAGQAOAAH/9v/r/+L/2//V/9D/y//G/8L/vv+7/7v/vv/E/8//3v/vAAIAFQAmADQAPgBCAEEAPAAyACUAFwAI//r/7f/h/9f/zP/C/7j/rf+h/5X/h/96/2z/Xv9P/z//Lf8Z/wL+6f7N/rH+lP56/mP+Uf5F/j/+Pf4+/kD+Qv5A/jn+Lf4c/gb97f3S/bj9n/2K/Xj9av1g/Vr9Vv1U/VP9Uf1O/Un9QP0z/SL9Dfz1/Nv8wfyo/JH8fvxt/F/8VPxI/Dz8L/wh/BH8APvv++D71PvK+8P7vvu7+7f7sfuq+6H7lfuH+3j7aPtY+0b7Mfsb+wD64vq/+pn6cPpG+hz58/nN+ar5ivlv+Vb5Qfkv+SD5FPkL+Qb5BPkF+Qf5CvkL+Qr5Bfj8+O/43vjL+LX4n/iK+HT4XvhI+C/4E/fy98v3nvdr9zL29Paz9nH2MPXx9bf1gfVS9Sv1C/Tz9OH01vTP9Mz0y/TL9Mr0x/TC9Lv0svSn9Jv0kPSG9H/0evR59Hz0g/SN9Jn0p/S19ML0zvTY9N/04/Tl9OX04/Tg9N302fTW9NP00fTP9M/0z/TQ9NL01vTb9OH06fTy9P31CfUW9ST1NPVE9VT1ZPV19YX1lPWi9a71ufXC9cj1zvXR9dP10/XT9dP10vXR9dH10PXQ9dH10fXT9dT11/Xb9eH16vX39gn2H/Y69lr2fvaj9sn27vcQ9y73RvdZ92f3cPd393z3gPeF94z3lvei97H3w/fX9+34Bfge+Dj4Uvht+Ir4qPjH+Or5D/k3+WP5kfnB+fT6KPpe+pb60PsN+0/7lfvh/DH8hfza/S79f/3L/hD+T/6I/rz+7f8d/07/f/+y/+YAGQBLAHoApADKAOsBBwEeATEBPwFJAU8BUwFWAVwBZwF8AZ4B0AITAmYCxwMxA58ECwRxBMsFGQVaBZEFwAXsBhgGRwZ7BrMG7wcuB20HqgfkCBwIUAiDCLMI4gkRCT4JagmVCb0J4woGCicKRgpjCn4KlgqsCr8KzQrWCtoK2ArRCsQKswqcCoIKZApDCiEKAAniCcsJvQm7CcYJ4goMCkMKhgrPCx0LbAu4DAEMRQyFDMAM+A0uDWINlA3EDfMOIA5LDnUOnA7CDucPDA8wD1MPdQ+WD7YP1g/1EBUQNRBXEHkQnRDBEOQRBhEmEUURYRF+EZsRuhHcEgISKRJTEnwSpBLJEuoTCBMlE0MTZROME7sT8BQrFGkUphTfFRAVNxVUFWcVdBV9FYYVkxWkFbkV0xXvFgoWIhY3FkgWVxZkFnIWgxaYFrAWyRbhFvYXBhcPFxEXDxcJFwQXARcDFwoXFRciFy8XNxc5FzMXJRcQFvUW2Ra9FqUWkRaFFn8WgBaIFpUWpxa9FtYW8BcKFyIXNRdDF0sXTBdGFz0XMBckFxoXFBcTFxcXIBcrFzgXRBdOF1UXWRdZF1cXUhdMF0MXORctFyAXExcGFvkW7hbkFtwW0xbIFroWqBaRFnQWVBYxFg8V8BXWFcEVshWmFZwVjxV8FWIVPxUUFOMUrxR9FE8UKRQME/kT7xPrE+sT7RPtE+wT6BPhE9kTzxPGE7sTsROmE5oTjBN8E2oTVxNCEy0TGBMFEtsS0RLIEsASuBKuEqQSmRKMEn8ScRJiElMSQhIxEh8SDBH5EeYR0xHAEa4RnBGLEXkRZxFTEUARLBEYEQUQ8hDgEM4QuxCoEJIQexBiEEYQKhAND/EP1w++D6gPkw9/D2wPWQ9GDzMPIA8NDvoO6A7XDsYOtQ6jDpAOeg5gDkMOIw3/DdgNrQ2BDVINIgzxDMEMkQxjDDcMDwvqC8gLqguQC3kLZAtSC0ALMAsgCxALAAruCtsKxQqtCpIKdgpZCj0KIwoNCfwJ8AnoCeQJ4AnbCdEJwgmqCYoJYgk1CQMI0QihCHQITAgqCA0H9AfeB8oHtgegB4oHcwdbB0MHKwcTBvwG5AbMBrMGmQZ+BmIGRQYnBgoF7gXTBboFowWNBXoFaAVXBUgFOgUtBSIFFwUOBQME+ATsBN0EywS4BKIEigRyBFoEQgQsBBcEAwPvA9wDyQO1A58DiQNzA10DRwMzAyEDEQMCAvQC5gLXAscCtQKgAokCcQJXAjwCIAIGAesB0gG7AaQBjgF5AWUBUQE9ASkBFQEBAO0A2ADFALIAoACQAIAAcgBkAFYARwA4ACgAFgAD/+//2f/C/6r/k/97/2X/UP89/y3/H/8T/wn/AP74/u7+5P7X/sn+uf6o/pj+iv59/nP+a/5j/lz+Uv5F/jT+H/4H/ez90f22/Z79if14/Wn9XP1Q/UT9Nv0n/Rf9Bvz1/OX81vzI/Lv8rvyi/JT8hvx3/Gj8WfxL/D/8Nfwu/Cf8Ivwd/Bf8EfwJ/AH7+fvw++j74fvb+9b70fvL+8X7vvu3+677pfuc+5P7i/uE+3z7dftt+2T7WvtO+0L7Nfso+xz7EPsF+vv68vrq+uL62/rT+sr6wvq6+rP6rPqn+qL6nfqX+pH6ifp/+nP6ZvpY+kv6Pvo1+i76LPot+jL6OvpE+lD6XPpn+nH6ePp8+n36e/p3+nH6a/pm+mX6afpy+oH6lfqt+sX63Pru+vn6/Pr2+ur62PrD+q/6nvqS+ov6iPqH+oj6h/qD+nv6b/pf+kz6OPol+hP6Avnz+eT51PnE+bL5oPmO+X75c/lr+Wr5bvl3+YP5kfmg+a/5vfnK+db55Pnz+gX6Gfow+kr6ZvqB+p36tvrO+uP69vsG+xX7Ivsv+zz7SftY+2f7d/uG+5b7pPuv+7j7vfu++737ufu0+6/7qvum+6L7nvua+5T7jPuD+3j7bfti+1r7VPtS+1P7V/te+2b7bvt1+3z7gvuI+477lvuf+6r7t/vG+9b75/v4/An8Gfwn/DT8PvxF/En8SPxE/Dv8L/wg/A/7/Pvp+9b7w/ux+6D7kPuB+3X7bftp+2v7dPuE+5v7uvvf/Ar8Ovxt/KH81f0H/Tf9Yv2I/af9v/3O/db91/3T/cz9xf3A/b/9wv3M/dr97P4B/hj+Lv5D/lb+af57/o3+oP61/sr+4f74/w7/JP83/0r/XP9t/37/j/+i/7T/x//Y/+f/9P/8AAEAAgAA//v/9v/w/+z/6P/n/+f/6f/t//H/9f/6//8ABQAKABAAFwAfACgAMgA+AEoAVgBjAHEAfgCMAJoAqAC3AMYA1ADjAPAA/AEHAQ8BFgEbAR4BIAEhASIBIgEjASMBJAElASUBJQElASQBIwEiASABHwEeAR4BHwEgASMBJwErATEBNwE+AUUBTAFTAVoBYQFnAW0BcwF4AXwBfwGAAYEBgQGCAYQBhwGNAZYBogGwAcAB0AHgAe8B+wIFAgwCEgIWAhcCGAIWAhMCDgIIAgAB9wHvAegB4wHiAeMB5gHsAfEB9QH2AfQB7wHmAdsB0AHGAb0BuQG3AbkBvQHCAcgBzQHRAdMB1AHTAdEB0AHPAc4BzwHQAdEB0QHRAdABzQHHAcABtwGsAaABkwGGAXoBbgFlAVwBVQFPAUkBQwE8ATQBLAEiARgBDAEBAPYA6gDeANEAxAC2AKgAmgCLAH4AcQBkAFoAUABIAEEAOwA3ADYANgA4ADwAQQBIAE8AVgBcAGAAYwBjAGIAYABcAFgAVQBRAE4ASwBKAEoASgBMAFAAVABYAFwAYABhAGAAXABWAE0AQwA5ADEALAAqACwAMgA8AEgAVQBjAG8AegCBAIYAiACIAIYAgwB/AHwAegB4AHcAdwB3AHgAeAB5AHkAeQB4AHcAdgB0AHMAcABuAGsAaABlAGIAYQBhAGMAZwBsAHIAeAB8AH8AfgB7AHQAawBgAFUASwBDAD4AOgA5ADkAOgA8AD0AQABEAEsAVgBmAHsAlACyANEA8QEPASkBPgFMAVIBUwFNAUIBNAEiARAA/QDpANYAwgCwAJ0AiwB5AGcAVQBEADIAHwAJ//H/1P+z/47/Y/81/wX+1f6p/oH+Yf5J/jj+Lv4p/ib+I/4c/hH+AP3q/dD9tf2a/YL9bv1f/Vf9U/1U/Vj9Xv1k/Wn9bP1s/Wj9YP1U/UP9Lv0X/P384/zK/LP8nvyM/H38cPxj/Ff8Sfw7/C38H/wU/A38CvwM/BL8G/wm/DD8N/w7/Dr8M/wo/Bj8BPvt+9P7t/uX+3T7Tvsl+vr6zfqg+nT6Sfoh+fz52fm5+Zv5f/ll+U35Ofko+Rv5EfkL+Qb5Avj9+Pb46vjb+Mj4sfiZ+IH4avhU+EH4Lvgc+Aj38ffU97H3hvdU9xz23fac9ln2FvXW9Zr1ZPU09Qv06fTP9Lr0q/Sh9Jn0k/SN9If0gPR39G30YfRV9En0P/Q29DH0L/Qy9Dj0QfRN9Fr0Z/Rz9H70hvSL9Iz0i/SH9IL0fPR29HH0bPRp9Gb0ZPRj9GP0Y/Rj9GT0ZvRo9Gz0cPR19Hz0g/SM9JX0ofSu9L30zvTh9Pb1C/Uh9Tb1SvVc9Wz1evWF9Y71lfWa9Z71oPWi9aT1pfWn9aj1qfWq9ar1qvWq9av1rvW09b/1z/Xn9gT2KfZS9n72q/bX9v73H/c590v3V/dd9173Xvdd9133X/dk9233eveJ95v3rvfE99r38PgH+B/4N/hR+G34jPiu+NP4/Pkn+Vb5h/m7+fL6K/po+qr68fs9+4374fw3/Iz83v0t/XX9t/30/iz+Yf6V/sn+/v80/2v/ov/XAAwAPQBqAJQAuQDYAPEBAwENARABDQEIAQQBCAEYAToBcwHCAiYCmwMbA5wEGQSIBOcFMgVsBZcFuAXVBfMGFQY9BmwGnwbWBw8HRwd/B7gH8AgrCGcIpAjhCR0JVQmICbQJ2wn8ChkKNApOCmkKgwqdCrQKxQrPCtAKyAq2CpwKegpUCioJ/wnVCawJiAlqCVQJSQlMCV4JfwmxCfAKOwqNCuMLOguNC9sMIwxlDKIM2g0QDUMNdQ2mDdUOAw4wDlsOhQ6uDtYO/Q8kD0oPbw+RD7MP0g/xEA8QLhBPEHEQlRC6EN8RBBEnEUgRaBGHEaYRxxHrEhMSPRJpEpYSwhLqEw8TMRNRE3ETlRO+E+4UJRRhFKAU3RUTFUAVYBV0FX0VgBV/FYEVihWbFbUV1hX8FiIWRRZiFngWiBaVFqIWsxbKFugXDRc2F18XhhemF74XzBfRF88XyRfBF7gXsBenF54XkReAF2sXURc1FxgW/RbnFtcWzxbPFtYW4hbyFwQXFhcmFzUXQRdKF08XURdQF0sXRBc8FzQXLhcsFy0XMxc9F0oXWBdlF3EXeBd8F30XeRd0F2wXZBdaF1AXRRc4FysXHRcPFwIW9hbtFuUW3RbVFsoWuxanFo0WbxZNFisWCxXvFdcVxBW0FaYVlRWAFWQVQBUWFOcUtRSFFFkUNBQXFAIT9RPsE+cT4xPfE9oT0hPKE8ATthOrE6ATlROIE3kTaBNVE0ETLRMZEwYS9RLnEt4S1xLQEsgSvhKyEqQSlhKHEngSaRJaEksSOxIpEhcSAxHvEdoRxRGwEZwRiBF2EWMRURE/ES0RGxEIEPYQ5BDQELwQphCOEHMQVhA3EBYP9g/XD7sPog+MD3oPag9bD00PPw8wDyAPDw7/Du8O4A7RDsIOsg6gDosOcg5UDjEOCQ3dDa4NfA1JDRYM5Qy1DIkMYAw9DB8MBgvyC+IL1AvJC70LrwufC4wLdwtgC0cLLgsVCv0K5grPCrgKoAqICm8KVgo9CicKEgn/Ce8J4AnRCb8JqgmPCW8JSAkdCPAIwQiVCGwISQgsCBQIAQfwB+EH0Ae9B6YHjQdyB1YHOgcfBwUG7QbXBsIGrAaVBn0GYwZIBisGDQXwBdMFuAWfBYcFcQVcBUkFNwUnBRkFDQUCBPoE8gTrBOME2ATLBLsEqASSBHoEYQRJBDIEHAQHA/MD4APMA7cDoQOKA3MDXANHAzQDIwMVAwgC/QLyAuUC1wLFArAClwJ8Al8CQQIjAgYB6gHRAboBpQGSAYEBcAFfAU4BOwEnAREA+QDhAMgAsACZAIQAcgBhAFIARAA2ACgAGAAG//P/3v/H/6//l/+A/2n/U/8//y3/Hf8O/wH+9f7o/tz+zv6+/q3+m/6I/nb+Zf5Y/k3+Rv5B/j7+Ov42/i7+I/4U/gH97P3V/b79p/2T/YD9b/1g/VH9Q/00/Sb9F/0J/Pr87fzf/NH8wvyy/KH8jvx5/GT8UPw8/Cv8G/wP/AX7/vv3+/H76/vk+9371fvM+8T7vPu0+637p/uh+5r7lPuO+4f7gPt5+3H7avti+1r7UvtK+0H7OPsu+yP7GPsN+wH69/rt+uT63PrV+s/6yfrC+rz6tPqs+qX6nfqX+pD6ivqE+nz6c/po+lv6TPo8+i36IfoZ+hX6F/oe+ir6OPpH+lb6Yvpq+m36a/pk+lj6Svo6+ir6G/oR+gv6DPoT+iH6NfpM+mX6ffqQ+p36o/qi+pv6kPqE+nr6dfp0+nn6gfqK+pL6lvqU+ov6fPpo+lL6O/on+hX6Bvn5+ez53vnL+bX5nPmA+WX5Tvk9+TT5NPk8+Uz5Yfl4+Y/5pfm4+cj51/nk+fH5/voN+h76L/pB+lP6Zfp2+oX6lPqi+rD6vfrK+tf65Prx+v77C/sX+yH7K/sz+zn7PvtD+0b7SvtQ+1b7Xvtn+3D7ePt9+3/7fPt1+2v7XvtS+0f7QPs9+z77RPtM+1b7YPtp+3H7d/t8+4L7ifuS+537q/u7+8374Pvx/AL8EPwb/CL8Jfwk/B78FfwH+/b74vvM+7X7nfuF+237Vfs++yn7FPsD+vT66vrn+uz6+fsQ+zL7XfuR+838D/xU/Jr83/0g/Vr9jP21/dL94/3r/er94/3Y/c79xv3D/cb9z/3f/fL+B/4c/jH+Q/5T/mL+cP5//pD+ov62/sv+4f73/wv/Hv8w/0H/U/9l/3n/jv+j/7n/zv/g/+7/+P/+/////f/5//T/8P/t/+z/7f/w//b//AADAAsAEgAZACAAJgAsADMAOQBAAEgAUQBbAGYAcgB+AIsAmACmALMAwQDPAN0A7AD7AQkBFwEkAS8BOQFAAUUBRwFIAUYBRAFBAT4BPAE6ATkBOQE5ATsBPQE/AUEBQwFFAUcBSAFKAUsBTgFRAVQBWAFdAWIBZwFsAXIBdwF9AYMBiQGOAZMBlwGbAZ0BoAGiAaYBrAG0Ab4BzAHcAe0B/gIOAh0CKgI0AjwCQQJGAkkCSwJNAk0CTAJIAkQCPQI2AjACKgImAiQCJAIkAiQCIwIfAhgCDgICAfUB6AHdAdQBzwHNAc4B0gHWAdsB4AHkAecB6gHrAe0B7gHvAfAB8QHxAfIB8QHxAe8B7QHqAeYB3wHXAc0BwQG0AacBmQGMAYABdgFsAWQBXAFTAUsBQQE3ASsBIAEUAQgA/ADwAOQA1wDKALwArQCfAJEAgwB2AGoAXwBWAE4ARwBCAD4AOwA6ADsAPQBAAEQASABMAFAAVABYAFsAXQBfAGEAYQBhAF8AXABZAFYAUwBRAFEAUgBVAFgAXABeAF4AXABYAFEASgBDAD8APQBAAEkAVgBnAHsAkQCnAL0A0gDkAPQBAQELARMBGAEbARwBGwEYARUBEAEKAQQA/QD1AO4A5gDeANcA0ADJAMMAvgC5ALYAsgCwAK8ArwCxALQAuAC9AMMAyADMAM4AzQDKAMUAvgC3ALAAqwCoAKcAqgCuALQAuwDDAMwA1gDjAPMBBwEgAT0BXgGBAaQBxwHmAgECFwInAjICNwI4AjUCLgIkAhgCCQH3AeMBzQG2AZ0BhAFsAVQBPQEmAQ8A9wDcAL4AmwBxAEEADP/Q/5H/Uv8T/tr+p/59/lv+Qv4v/iH+FP4H/ff95f3Q/br9pP2R/YL9d/1z/XP9d/1+/YX9jP2S/ZX9lv2T/Y79hv16/Wv9WP1D/Sz9E/z7/OT8z/y8/Kv8nPyO/IH8dPxn/Fv8UfxL/En8TfxW/GT8dfyH/Jj8pvyu/LD8q/yf/I78efxf/EP8JfwE++D7u/uT+2r7QPsU+ur6v/qW+m36Rvof+fj50vmt+Yn5aPlJ+S75F/kD+PL44vjT+ML4sPic+IX4bvhX+ED4LPgb+Az3//fx9+H3zve095P3avc69wL2xPaC9j71+/W69X31RfUT9Oj0xfSn9JD0fvRw9GT0W/RR9Ej0PvQz9Cf0GvQO9ALz+PPx8+zz6/Pu8/Tz/PQH9BP0H/Qp9DH0N/Q49Db0MPQo9B/0FvQN9AXz//P88/rz+vP78/zz/vQA9AP0BfQI9Av0DvQR9Bb0G/Qh9Cn0M/Q/9E70X/R09Iv0pPS99Nf08PUH9Rz1LvU99Uj1UPVW9Vr1XPVe9WD1YfVj9Wb1afVs9W31bvVt9Wv1afVp9Wz1dvWG9aD1w/Xt9h72U/aH9rj24/cG9x/3Lvc19zX3Mfcs9yf3Jfcm9yv3NfdC91L3Zfd59473o/e598334vf3+A74JvhB+F/4gvio+NL5Afkz+Wj5ovnf+iD6Zvqv+vz7S/uc++v8OPyC/Mf9CP1F/X/9uP3w/in+Y/6d/tj/Ev9K/4H/tf/nABYAQQBnAIcAnwCtALIArwCmAJ8AngCrAM0BCQFfAc8CUwLiA3QD/wR6BOAFLwVpBZIFsAXIBeEF/wYiBkoGdwamBtYHCAc6B3AHqgfqCC8IeAjCCQoJTAmFCbMJ2An0CgwKIgo6ClUKcgqPCqkKvArDCr0KqAqGClgKIgnqCbIJfwlSCS4JFAkDCP0JAwkUCTMJXgmWCdkKJQp3CswLIAtyC74MBQxHDIUMvwz3DS0NYw2XDcoN/A4sDloOhg6wDtoPAg8oD04PcQ+SD7IP0A/sEAoQKBBJEG0QlBC9EOcRERE5EV8RghGjEcQR5BIHEiwSVRKAEq0S2hMFEy4TVRN5E54TxBPuFB0UUhSKFMMU+BUmFUkVXxVoFWgVYhVcFVsVZRV8FaAVzxYDFjkWahaTFrEWxRbSFtsW5hb2Fw8XMBdYF4QXsBfXF/YYChgUGBMYCxf8F+oX1Re+F6YXjRdyF1YXORcdFwQW7xbiFtsW3BbjFu8W/hcOFx4XLBc4F0EXSBdMF04XTRdLF0gXRBdAFz0XPRdBF0oXVhdlF3UXhReTF5wXoRegF5sXkxeKF38XdRdrF2EXVxdMFz8XMRcjFxQXBhb5Fu4W5BbaFs8WwhaxFpsWghZmFkgWKhYOFfQV3BXGFa8VlhV5FVgVMhUHFNsUrhSDFF0UPhQkFBEUBBP6E/IT6hPiE9kTzhPCE7UTpxOZE4oTexNqE1kTRxM1EyMTEhMDEvcS7RLlEvYS7BLgEtASvxKrEpcShBJyEmMSVRJJEjwSLxIgEg4R+RHiEcoRsRGZEYIRbRFZEUYRNREjEREQ/hDpENQQvRCkEIoQbhBREDIQEg/xD9IPtA+aD4MPcA9iD1cPTw9JD0IPOw80DysPIA8VDwkO+w7rDtkOww6pDooOZQ47DgwN2g2lDXANPA0KDNoMsAyKDGoMTww6DCsMIAwZDBUMEQwLDAML9gvkC80LsQuRC3ALTgstCw4K8grYCr8KqAqQCngKXwpFCisKEQn5CeIJzQm4CaIJiglwCVIJMAkKCOIIugiTCG8IUAg2CCEIDwf/B+8H3gfKB7IHmAd7B10HQAclBw0G9wblBtUGxQa0BqIGjQZ2Bl0GQgYmBgsF8AXWBb4FpQWOBXcFYAVKBTYFJAUUBQcE+wTxBOcE3ATOBL0EqQSTBHwEZAROBDsEKgQcBBAEBAP3A+gD1gPBA6oDkgN5A2MDTwM+Ay8DIwMXAwsC/QLsAtgCwAKmAokCagJLAiwCDgHyAdgBwQGsAZsBigF8AW0BXgFNATkBIwEKAO8A0wC3AJ0AhABvAFwASwA8AC0AHgAN//r/5P/O/7b/nv+H/3H/Xf9K/zr/K/8e/xH/BP73/un+2f7H/rP+nP6E/mz+Vf5A/i7+If4X/hH+Dv4N/gr+Bv3//fX96P3X/cb9s/2h/ZD9gP1x/WP9Vv1J/Tv9LP0e/Q78/vzu/N38zPy5/Kb8kfx7/GX8Tfw2/CD8C/v4++f72PvL+8D7tfus+6P7mvuR+4j7gPt4+3D7avtl+2H7Xvtb+1j7VPtQ+0r7Q/s8+zT7K/sj+xv7FPsM+wT6+/ry+un63/rW+s36xvq++rj6sfqq+qL6mfqP+oX6evpx+mn6Yvpc+lb6UPpI+j76M/om+hr6EPoK+gn6DfoY+if6OPpK+ln6Y/pn+mP6WfpI+jL6Gfn/+eb50fnA+bb5tPm4+cT51vnr+gL6GPor+jr6Q/pG+kX6Qvo/+j76QvpK+lX6Y/pw+nn6e/p2+mn6VvpA+in6FfoH+f/5/Pn8+fz5+fnv+d75xvmn+Yb5Z/lN+Tv5Nfk5+Uf5Xfl3+ZL5q/nB+dL53/no+e/59Pn5+f76A/oI+g76FPoa+iD6J/ov+jj6Q/pO+lv6aPp1+oP6kPqd+qj6s/q7+sP6yfrO+tT62/rk+u/6/vsO+yD7MPs/+0n7TvtO+0j7QPs2+y37J/sl+yn7MPs7+0f7VPtf+2j7cPt1+3v7gfuJ+5X7ovuz+8b72Pvr+/r8B/wP/BH8D/wH+/n76PvS+7n7nfuA+2L7RPsm+wj67PrQ+rb6nvqJ+nj6bfpq+nD6gPqc+sP69vs0+3v7yfwc/HH8xP0T/Vn9lP3C/eH98/35/fX96/3f/dT9zv3O/db94/31/gr+H/4y/kP+Uf5d/mj+dP6C/pL+pf65/s/+5P73/wn/Gf8p/zn/Sv9e/3X/jv+n/8H/2P/t//wACAAPABIAEwASABEAEAARABEAEwAWABkAHgAjACkAMQA5AEIASwBUAFsAYgBoAG4AdQB9AIYAkgCfAK4AvgDPAN8A7gD9AQoBFgEiAS0BOAFDAU4BVwFfAWUBaQFqAWgBZQFfAVkBUgFMAUcBRAFDAUUBSQFOAVUBXAFjAWkBbgFzAXYBeAF6AXwBfwGBAYQBhwGLAY8BlAGZAZ8BpQGrAbEBtgG7Ab8BwwHHAcsB0gHbAeYB9AIDAhMCIwIxAj4CSQJRAlgCXQJjAmkCbwJ2AnwCgQKFAoUChAKAAnoCdAJuAmgCYgJdAlcCUAJIAj0CMQIkAhcCCgIAAfcB8QHtAesB6QHoAegB6AHoAekB6wHuAfIB9wH8AgECBgIJAgwCDgIQAhICFAIVAhYCFAIRAgoCAAHzAeQB0wHDAbMBpQGZAY0BgwF5AW4BYwFWAUkBOwEtAR8BEQEEAPcA6gDdANAAwQCzAKUAlwCKAH4AcwBqAGIAWwBVAFAATABJAEYARABDAEMAQwBEAEcASgBPAFUAWwBiAGcAbABuAG8AbQBpAGMAXgBaAFcAVgBXAFkAWwBdAF4AXQBaAFYAUwBRAFMAWQBkAHQAiQChALwA2ADzAQ8BKQFBAVgBbAF/AY4BmgGiAaYBpgGjAZwBkwGIAXwBcAFkAVcBTAFAATQBKQEeARUBDgEIAQUBAwEEAQcBCwEPARUBGgEeASIBJAEmASYBJAEiASABHwEfASABJAEpATEBOgFDAU0BWAFjAW8BfgGPAaUBvwHcAf0CHwJAAl8CegKRAqICrwK4Ar4CwwLGAskCygLKAsYCvwKzAqICjQJzAlcCOQIaAfwB3gHBAaUBiQFsAUwBKQEAANIAnQBiACL/3/+b/1n/G/7j/rL+if5n/kv+M/4d/gn99v3k/dX9yP2//bv9u/3A/cb9zv3V/dr93P3b/db9z/3H/bz9sf2j/ZT9gv1u/Vj9QP0o/RH8+/zo/Nf8yfy8/LD8pfya/I/8hvyA/H38f/yG/JL8oPyw/L78yfzQ/ND8y/y//K/8m/yE/Gz8U/w5/B78Avvk+8T7ovt++1n7MfsI+t76s/qG+ln6K/n9+dD5pfl7+VT5MPkP+PD41Pi5+J74hPhq+FH4OPgi+A33+/fs99/30/fH97j3pfeL92v3Q/cT9tz2n/Zd9hr11vWT9VT1GvTm9Lj0kvRz9Fr0RvQ39Cv0IfQX9A70A/P48+zz4PPU88nzv/O387LzsPOw87PzufPB88nz0vPZ89/z4fPg89zz1PPK877zsvOn857zmPOU85TzlvOZ853zofOl86nzrPOw87PztvO6877zw/PJ89Hz2/Pn8/f0CvQg9Dn0VPRx9I70qvTF9N308fUB9Q31FfUZ9Rv1GvUY9Rf1F/UY9Rr1HvUj9Sf1KfUp9Sj1JPUh9SD1I/Uu9UH1X/WH9bf17PYj9lj2hvas9sj22vbh9uL23fbW9tD2zfbN9tL23Pbq9vv3D/ck9zr3UPdm93r3jvei97b3y/fi9/z4Gvg9+GT4kPjA+PT5LPlo+ab56Pos+nH6uPr/+0b7i/vO/A78TfyL/Mj9Bv1F/YX9xP4D/kD+ev6w/uT/FP9D/3H/nv/J//EAEwAsADwAQgBBAD4APwBLAGwApQD6AWoB7wKCAxkDqQQqBJcE7QUuBV0FgQWfBb4F4AYGBjAGXQaKBrcG5QcVB0oHhgfKCBcIaQi8CQwJUwmNCbkJ1wnsCfsKCQobCjMKUApvCosKngqkCpgKegpMChEJ0QmQCVUJJQkCCO0I5gjrCPsJFQk3CWIJlAnOCg4KVAqdCugLMwt7C8AMAgxBDH0MuAzyDSwNZg2eDdYODA4/DnAOng7JDvMPHA9CD2cPiQ+qD8kP5hADECAQPxBhEIYQrxDbEQgRNRFhEYkRrhHQEfASDhItEk4ScRKYEsIS7BMYE0ITaxOTE7sT5BQPFD8UcRSlFNgVBhUtFUgVWBVbFVYVTRVEFUMVThVnFY8VwxX+FjsWcxaiFsYW3RbsFvQW/BcHFxkXMhdSF3YXmhe6F9MX4hfoF+QX2BfIF7QXnheIF3IXXBdGFzEXHBcJFvoW7hbnFuUW5hbqFvAW9hb8FwEXBhcMFxQXHBcmFzIXPRdIF1EXWBdeF2MXaRdwF3oXhheVF6QXsRe8F8IXwxe/F7cXrBegF5MXiBd+F3UXbBdiF1cXSRc4FycXFBcDFvIW4xbVFsgWuxatFp4WjBZ4FmEWSRYvFhMV9xXYFbgVlRVvFUcVHhTzFMoUoxSAFGIUSBQzFCMUFRQKE/8T9RPqE90T0BPBE7IToROQE34TbBNaE0kTORMrEx8TFRMOEwgTAxL9EwkS+RLmEs8SthKdEoYSchJhElQSShJCEjkSLhIgEg4R9xHeEcMRpxGMEXQRXhFLETgRJhETEP0Q5BDIEKkQiBBlEEIQIBAAD+EPxA+rD5QPgQ9yD2cPXw9bD1kPWg9bD1wPXA9ZD1UPTQ9ADzAPGg7/Dt4Otw6JDlYOHg3kDakNbw05DQcM3Ay3DJkMggxxDGUMXAxXDFMMUAxNDEgMQQw3DCkMFgv/C+QLxQujC4ALXAs5CxYK9QrVCrcKmAp7Cl0KPwoiCgUJ6gnQCbgJogmNCXkJZAlNCTQJGAj6CNkIuAiWCHUIVwg7CCIICwf2B+AHygezB5oHgAdmB00HNgchBxAHAgb3Bu0G4wbYBsoGuganBpIGfAZlBk0GNgYgBgkF8wXbBcIFqAWOBXMFWQVBBSoFFQUCBO4E2gTEBKwEkwR5BGEESwQ5BCwEJQQhBCEEIQQgBBwEEwQFA/ID3QPGA68DmQOGA3QDZANVA0UDMwMfAwkC8ALUArYClgJ1AlQCMgIRAfEB1AG5AaIBjwF/AXIBZgFaAUwBPAEnAQ4A8wDVALgAmwCBAGsAWABHADgAKQAZAAb/8v/c/8T/rf+V/4D/bP9b/0z/P/8z/yj/Hf8R/wT+9v7l/tH+uv6g/oT+Z/5K/i/+F/4D/fT96f3h/dv91f3P/cj9v/20/an9nf2S/Yj9f/13/XD9aP1f/VP9Rf00/SD9C/z0/N78yPyy/J78ivx1/GD8Svwz/Br8APvl+8v7sfua+4X7c/tk+1f7TftF+z37N/sx+yz7KPsm+yX7Jvsn+yf7J/sl+yH7G/sU+wv7A/r7+vT67vrp+uX64Pra+tP6yvrB+rj6rvqm+p36lfqN+oT6efpu+mH6VfpK+kL6O/o3+jb6Nfoz+jD6K/ol+h36FvoR+hD6FPoc+ij6NvpD+k36UvpP+kX6M/ob+f753vm/+aL5ifl1+Wn5ZPlm+W/5fvmR+ab5u/nN+dz55/nt+fH58vn1+fn6AfoN+hr6KPo0+jr6Ofox+iH6DPn1+eH50vnM+c/52fno+fn6BfoL+gb5+Png+cL5pPmI+XT5avlq+XX5h/me+bb5zfng+e359fn5+fj59fnw+ev55vnh+d352vnY+dj52fnc+eD55vnt+fb5//oK+hX6Ifou+jv6SfpV+mD6afpw+nf6ffqE+o36mPqn+rj6yvrc+uz6+PsA+wP7A/sA+v76/vsB+wj7E/si+zL7QvtR+177aPtw+3j7f/uH+5H7nfus+7z7zPvc++r79fv8+/37+fvw++H7zfu1+5n7eftY+zT7EPrr+sf6o/qB+mH6RPot+hv6EfoQ+hn6LfpN+nr6svr2+0T7mvv2/FT8sf0J/Vj9mv3N/fD+A/4K/gb9/P3w/eb94f3j/ez9+v4L/h7+L/4//kv+Vv5f/mn+dv6F/pf+rP7C/tj+7P7+/w7/Hf8s/z3/Uf9o/4P/oP+9/9r/9QAMACAALwA8AEcAUABYAF8AZABnAGYAYwBeAFcAUQBMAEsATwBWAGEAbgB8AIgAkgCZAJ4AogCmAKwAtQDBANAA4gD1AQgBGQEoATUBQAFIAVABVgFdAWQBawFyAXgBfAF/AYABfQF5AXMBbAFlAV4BWQFXAVcBWwFhAWoBdAF/AYkBkgGZAZ8BowGmAagBqQGrAa0BsAGzAbcBvAHBAccBzAHSAdcB2wHfAeIB5QHoAewB8QH5AgMCEAIeAi0CPAJKAlYCYAJoAnACdwJ/AogCkwKeAqoCtQK9AsMCxgLFAsECvAK1AqwCpAKaApAChQJ5AmwCXgJQAkMCNgIsAiMCHAIVAg8CCQIDAf0B+AH0AfIB8wH3Af0CBQIOAhcCHwImAiwCMQI2AjsCQQJHAksCTgJOAkkCQAI0AiQCEgH/Ae4B3gHPAcMBtwGrAZ4BkAGAAW8BXQFLATkBKAEZAQoA/ADuAOAA0gDEALYAqACbAI8AhQB8AHQAbQBnAGIAXQBYAFQAUABNAEoARwBGAEUARwBKAE8AVQBcAGMAaABsAG4AbQBpAGUAYQBdAFsAXABeAGIAZgBpAGsAawBqAGkAaQBrAHEAfQCOAKQAvQDaAPcBFQExAU0BZwGAAZcBrgHBAdMB4AHpAe0B7QHoAd8B1AHJAb0BsgGpAaABmAGPAYcBfwF4AXEBbAFqAWsBbwF2AX8BiAGSAZsBoQGkAaUBpAGgAZ0BmgGZAZoBnwGoAbQBwwHTAeMB8wIBAg0CFwIhAisCNwJHAlsCcwKOAqsCxwLhAvYDBQMNAxEDEAMNAwoDCAMJAwwDEAMUAxUDEQMJAvoC5QLLAqwCiwJoAkUCIgIBAeABwQGjAYQBZAFBARwA8gDEAJEAWQAf/+P/qP9v/zn/Cf7d/rb+lP52/lv+Rf4y/iT+HP4Z/hv+Iv4r/jX+Pf5C/kL+Pv40/ij+GP4I/ff95v3V/cL9rv2Y/YD9Z/1N/Tb9IP0O/P/88/zp/OH81/zN/ML8tvyr/KL8nPya/Jz8ofyn/K78s/y1/LL8qvyf/I/8fvxr/Fn8R/w2/Cb8FfwE+/D72fu++577e/tT+yj6+vrK+pn6aPo4+gn52/mw+Yb5Xvk3+RH47PjH+KL4ffha+Dj4F/f69+D3yfe196T3lPeD93D3Wvc+9x329PbF9pD2VfYW9db1lPVU9Rb03fSp9Hz0VvQ39B/0DPP+8/Tz6/Pj89vz0fPH87vzr/Oj85jzjvOF83/zevN383bzd/N583zzf/OB84LzgfN983fzbfNi81XzSfM+8zXzL/Mt8y7zMfM28zzzQvNH80zzUPNU81fzW/Nf82Tza/Ny83vzhvOU86XzufPR8+z0CvQq9Ez0bPSL9Kf0v/TR9N/05/Tq9Or05vTi9N302fTW9Nb02PTb9N704fTh9OD03fTa9Nj02vTj9PT1D/U09WD1kvXG9fj2JPZH9mH2cfZ39nf2c/Zt9mf2ZfZm9mv2dfaC9pP2pfa69s/25Pb69w/3JPc59073ZPd795b3tPfW9/34KfhZ+Iz4xPj9+Tj5dfmz+fH6L/pu+qz66vsn+2X7o/vj/CX8afyu/PT9Ov19/bz99f4p/lj+hP6v/tv/Cf84/2j/lv++/97/9AABAAgADwAeADsAbQC4ARwBlgIeAq0DOAO4BCYEgQTIBP8FLAVVBXwFpgXTBgIGMgZiBpIGwQb0BywHbQe4CAsIZAi9CREJWQmSCbkJ0AnbCeEJ5gnxCgQKHgo8ClkKbgp2CmwKUAolCe0Jsgl5CUgJJQkRCQ0JFwkuCU0JcgmdCcwJ/wo2CnEKsArxCzMLdQu1C/IMLQxmDJ4M1Q0NDUUNfg23De8OJg5bDo0OvQ7rDxcPQQ9qD5EPtg/ZD/oQGhA4EFcQdhCYEL0Q5BEOEToRZRGPEbcR2xH8EhoSNxJUEnISkRK0EtoTARMqE1MTfROnE9ET/hQtFF4UkhTGFPgVJRVKFWUVdBV4FXMVaRVgFV0VYxV2FZUVvxXwFiMWUhZ7FpsWsxbCFs4W2hboFvoXEhctF0kXYxd3F4UXixeJF4EXdhdpF1wXURdHFz8XNxcvFycXHxcXFxAXChcGFwMXABb9FvoW9RbwFuwW6xbtFvUXAhcVFysXQxdbF3AXgheQF5sXpBetF7YXwRfMF9cX4RfnF+kX5hfeF9MXxRe2F6gXmxeQF4YXfRdzF2cXWBdHFzMXHhcJFvQW4BbPFr8WsRalFpkWjBZ+Fm0WWhZDFigWCRXmFb8VlhVsFUEVGBTyFM4UrhSRFHgUYhROFDwUKxQbFAsT/BPtE98T0RPCE7MTpBOTE4ITcRNgE1ATQxM4EzATKhMmEyETHBMUEwoS9xLiEssStBKeEosSexJvEmYSXxJZElASRBI0Eh8SBRHpEcsRrhGSEXoRZBFRET0RKREREPQQ0xCsEIMQVxAtEAUP4g/ED6wPmg+ND4UPgQ9/D38Pgg+GD4oPkA+VD5gPmQ+WD40PfQ9lD0QPGQ7mDqkOZg4dDdMNiA1BDQAMyAyaDHgMYAxTDE8MUgxaDGMMbQx0DHgMdgxvDGEMTww5DB8MAwvnC8oLrguSC3YLWQs7CxoK+ArSCqsKggpZCjEKCgnmCcYJqQmPCXgJYwlRCT8JLQkbCQcI8QjZCL8IpAiGCGgISQgrCAwH7wfSB7YHmgeBB2gHUwc/By8HIgcZBxMHDwcLBwgHAwb7BvEG5AbTBsEGrgaaBoYGcwZgBk0GOAYiBgoF7wXTBbYFmAV6BV0FQAUkBQcE6QTKBKoEiQRqBE4ENwQlBBsEGAQaBCEEKQQwBDQEMwQtBCMEFQQEA/MD4QPQA8ADsAOeA4sDdgNfA0UDKAMKAuoCyAKkAoACWgIzAgwB5gHEAaUBjAF5AWoBYAFXAU4BQwEzAR4BBADnAMcAqACKAHEAWwBIADgAKgAbAAv/+f/l/8//uf+j/47/e/9q/1v/Tv9C/zf/LP8i/xf/C/7+/u/+3P7G/qz+j/5w/lD+Mf4U/fn94v3P/b/9sf2l/Zn9jv2E/Xv9dP1w/W79b/1y/XX9d/13/XH9Zv1V/T/9Jf0I/Ov8zvyz/Jr8hPxu/Fn8Q/wr/A/78fvP+637ivtp+0z7M/sf+xH7B/sB+vz6+vr3+vb69Pr0+vX69/r5+vv6+/r6+vb68Pro+t/61vrP+sn6xvrE+sL6wPq9+rf6r/ql+pr6j/qF+nv6c/pr+mL6WfpO+kL6N/ot+iX6Ifof+iH6JPon+in6Kvon+iT6H/ob+hn6Gvoe+iP6Kfot+i76Kvof+g759/nc+b35nvl/+WP5S/k5+Sz5J/kn+S75O/lM+V/5c/mG+Zf5pPmu+bT5uvm/+cb5zvnZ+eX58fn6+f75/Pnz+eT50fm9+a35o/mh+aj5uPnN+eT5+foH+g36CPn7+ef50Pm7+ar5ofmg+af5tvnH+dr57Pn5+gL6BfoD+f759fnr+eH51vnM+cT5vvm5+bj5uPm5+bz5v/nB+cT5xvnI+cz50vnb+ef59foF+hT6Ivou+jf6PfpC+kf6TPpU+l/6bfp8+oz6m/qn+rH6uPq++sT6yvrU+uD67/sC+xb7K/s++1D7YPtu+3n7hPuO+5j7o/uu+7r7xvvR+9v74/vo++n75/vh+9X7xfuw+5X7d/tU+y37BPrZ+q36gfpY+jL6Evn4+ej54fnl+fX6Efo4+mz6q/r1+0j7pPwE/Gb8x/0h/XH9tP3m/gj+Gf4e/hj+Df4B/fj99P32/f7+C/4a/ir+OP5F/k/+Wf5j/m/+ff6P/qP+uf7P/uT+9/8H/xf/J/85/07/Z/+E/6T/xv/nAAUAIAA3AEsAXABrAHsAiwCaAKgAsgC2ALMAqgCaAIYAcgBgAFQAUABUAGAAcgCHAJsArQC7AMUAygDOANIA2ADhAO0A/QEOASABMQFAAU4BWAFhAWgBbQFzAXkBfgGDAYgBjAGQAZIBkgGRAY8BjAGIAYQBgAF+AX4BgAGFAYwBlQGgAaoBswG7AcIBxwHLAc0BzwHSAdQB1wHbAeAB5QHqAe8B9AH5Af0CAAICAgMCBAIEAgYCCQIPAhcCIQIuAjwCSwJaAmgCdAJ/AooClAKeAqoCtQLCAs8C2gLkAuwC8QLzAvIC8ALsAuYC3wLXAs0CwQKzAqMCkgKBAnECYQJUAkgCPgI2Ai0CJQIdAhYCEAINAgwCDwIVAh0CJwIyAjwCRQJLAlECVQJYAl0CYgJnAmwCcAJxAm4CZwJcAk4CPQIsAhsCCwH9AfAB5AHXAckBuQGmAZMBfgFpAVUBQgExASABEQECAPMA5QDVAMcAuACqAJ4AkwCJAIAAeQByAGwAZwBjAF8AWwBXAFMATwBMAEgARgBFAEYASQBMAFEAVQBYAFoAWgBYAFYAVQBVAFcAWwBiAGoAcgB6AH8AggCDAIMAhACHAI4AmgCrAMAA2gD1AREBLAFGAV4BdQGKAZ8BsgHDAdIB3gHlAecB5gHgAdgBzgHFAb0BuAG2AbUBtgG5AbsBvgHBAcYBzAHVAeEB8AIBAhMCJAIzAj4CRAJGAkMCPAI0AiwCJgIkAigCMQJAAlUCbAKFAp4CtALHAtUC3wLmAuwC8gL7AwYDFQMlAzcDRwNTA1sDXANYA08DQwM3AywDJQMhAyEDIwMlAyUDIQMYAwkC9QLcAr8CoAJ+AlsCOQIWAfQB0wGzAZUBeAFcAUABIwEEAOIAvACTAGYANwAI/9j/qf97/1D/J/8A/t3+vv6k/pD+g/5+/oD+h/6R/pz+pP6o/qb+nv6Q/n7+av5U/j/+Kf4T/f395f3L/bD9lP16/WH9TP08/S/9Jv0f/Rj9EP0F/Pf85/zW/MX8tvyr/KL8nvyc/Jv8mvyW/JD8hvx4/Gj8V/xF/DT8JvwZ/A78BPv6++373PvG+6r7hvtd+y76+/rI+pT6Y/o0+gr54/m/+Z35e/lY+TL5Cvje+K/4fvhM+Bv37PfB95n3dvdY9z33JPcN9vT22fa69pf2bvZA9g712fWh9Wn1MPT69MX0lfRp9EL0IfQG8/Hz4PPU88vzw/O787LzqPOd85Dzg/N282rzX/NW80/zSPND8z7zOfM08y7zKfMj8x3zF/MP8wby/PLx8uby2/LR8svyx/LG8snyzvLU8tzy4/Lq8vDy9fL58v7zBPMJ8xDzGPMh8yzzOPNG81fzbPOF86LzwvPl9Ar0L/RS9HH0jPSh9LD0ufS99L30ufSz9Kz0pvSg9Jv0mPSV9JP0kPSN9In0hvSF9If0jvSd9LT00/T69Sj1WPWJ9bf13vX99hL2HvYj9iH2HPYV9hD2DfYN9hH2GPYi9i/2PvZO9mH2dvaL9qH2uPbP9uf2//cZ9zX3Vfd495/3zPf8+DD4Zvie+Nf5EPlJ+YL5u/n0+i36Zvqh+tz7Gvta+5374/ws/Hb8wP0I/Uz9iv3D/fb+Jv5V/oX+t/7t/yX/Xf+S/7//5P/+ABEAHwAwAEkAcQCuAQABZgHbAlgC1gNOA7kEFQRiBKEE1wUHBTcFZwWYBcsF/gYwBmEGkwbIBwQHSAeWB+0ISQimCPwJRwmACagJvgnICcoJywnRCd8J9QoPCioKQApKCkcKNAoVCe0JwwmcCX0JawlmCW4JgAmaCboJ3goFCjAKXwqTCs0LCgtLC40LzQwLDEYMfAywDOENEg1EDXYNqg3eDhMOSA58Dq4O4A8QDz8PbA+ZD8QP7RAUEDgQWxB8EJwQvRDeEQERJRFLEXIRmRG+EeISBBIjEkASXRJ6EpgStxLYEvwTIhNKE3MTnhPKE/kUKRRdFJIUyRT/FTMVYBWGFaAVrxW0Fa8VpRWbFZQVkxWcFa4VyBXnFggWKBZEFlwWbxaAFpAWoha3Fs8W6RcDFxoXLBc3FzsXOBcxFykXIhcdFx0XIBclFysXMBcyFzEXLhcoFyIXHBcXFxIXDxcLFwcXAxcAFv4XABcGFxIXJBc7F1YXcReMF6QXuBfIF9QX3hfnF+8X+BgAGAcYDBgNGAoYAxf3F+kX2RfJF7oXrBegF5UXiRd9F3AXYRdQFz0XKRcVFwAW7BbZFscWtRalFpYWhxZ5FmkWVhZAFiYWCBXlFcAVmBVwFUoVJxUHFOoU0BS5FKEUihRyFFkUQBQnFBAT/BPrE90T0RPHE74TtBOpE5wTjRN+E28TYRNUE0oTQBM4Ey8TJRMZEwMS8xLjEtQSxhK4Eq0SpBKcEpQSjRKDEncSZxJSEjkSHBH9Ed0RvhGhEYcRbhFWET0RIhEEEOAQuBCNEGAQNRAOD+0P0w/BD7cPsw+0D7gPvQ/CD8gPzQ/SD9YP2g/cD9oP1Q/ID7EPkA9iDygO4Q6PDjYN2A16DSAMzQyFDEsMHwwDC/UL9Av+DBAMJwxADFgMbQx6DIAMfAxvDFgMOwwZC/UL0QuwC5QLewtmC1MLPwsoCwwK6grCCpUKZQozCgMJ1QmsCYgJaAlOCTYJIQkNCPoI5wjUCMAIqwiWCH8IaAhOCDQIFwf6B9sHvQeeB4EHZgdOBzoHKgcfBxgHFQcVBxcHGgccBx0HGwcXBw4HAgb0BuQG0wbBBq8GngaMBnoGZwZRBjoGIQYHBesFzgWxBZQFdwVZBToFGgT3BNMErgSKBGkETAQ2BCYEHgQcBB4EIwQoBCwELQQqBCUEHQQTBAkD/gPzA+gD2wPNA7wDqQOSA3kDXgNAAyEDAALdArcCkAJmAjwCEgHrAccBqAGPAX0BcAFmAVwBUQFCAS4BFQD2ANYAtACUAHYAXQBHADYAJgAXAAn/+f/o/9b/w/+x/57/jf98/2z/Xf9O/0D/M/8m/xv/EP8G/vv+7v7f/sv+tP6Z/nz+XP48/hz9//3l/c39t/2j/ZD9gP1x/Wb9Xv1a/Vz9Y/1u/Xr9h/2Q/ZX9k/2J/Xf9Xf0+/Rz8+PzV/LP8lPx4/Fz8Qfwk/AX74/u9+5b7bvtH+yX7CPry+uL62PrT+tH60frR+tD60PrP+s76zvrN+s36zPrJ+sT6vvq2+q76pvqg+p36m/qb+pz6m/qY+pL6ifp++nH6Zfpa+lD6SPpB+jr6M/or+iL6GvoS+gz6CfoI+gr6DfoR+hP6FfoU+hP6EfoP+g/6D/oQ+hH6D/oL+gL59fnj+c35tfmb+YL5aflS+T35K/kd+RL5DPkK+Q35Fvkj+TP5RflY+Wv5e/mJ+ZT5nvmm+a75tvm++cf5zvnT+dT50vnK+cD5s/ml+Zr5lPmT+Zj5pPmz+cX51fnh+ej55/nh+db5yPm6+bD5qvmq+a/5ufnG+dT54Pnr+fH59Pnz+e755vnb+dD5xPm5+a/5qfml+aT5pvmq+a75sfmy+bH5rfmp+aX5o/mm+a35ufnK+dz57/oA+g/6Gfog+iX6KPos+jL6OvpD+k/6W/po+nT6f/qK+pX6ofqw+sD61Prp+wD7F/su+0X7Wfts+3z7i/uY+6T7rvu2+777xPvK+8770vvU+9X71PvP+8j7vPus+5b7e/ta+zT7Cvrc+qz6fPpO+iX6Avno+dn51vng+fb6GfpJ+oT6yvsb+3P70vw0/Jb89P1L/ZX90P37/hX+If4h/hj+Df4C/fr9+P38/gX+Ev4h/jD+Pf5J/lT+X/5r/nn+if6b/q7+wv7U/uX+9f8D/xP/Jf88/1j/ev+g/8j/8AAUADMATABfAGwAdgCAAIoAlwClALMAvgDDAMAAtQChAIcAawBQADsALwAuADgASwBjAH8AmgCxAMUA1ADgAOkA8gD8AQcBFAEiATABPgFMAVkBZQFwAXsBhAGOAZYBnQGiAaYBqQGrAa0BrgGvAbABsQGxAbIBsQGxAbEBsgG1AbkBvgHFAcsB0gHZAd4B4gHlAegB6gHtAfAB9AH5Af4CBAIJAg8CFAIYAhwCHwIhAiMCIwIkAiUCJgIpAi4CNQI/AkoCVwJlAnMCgQKPApwCqQK1AsACywLWAt8C6ALwAvYC/AMBAwQDCAMKAwsDCwMIAwEC9wLqAtkCxQKvApkChAJxAmACUQJFAjoCMgIrAicCJQImAioCMQI7AkYCUgJeAmcCbQJwAnECcAJuAm0CbQJuAnECcwJ1AnQCcQJqAmACVAJGAjgCKgIcAg4CAQHyAeIB0AG+AaoBlgGCAXABXgFNAT0BLgEeAQ4A/gDuAN4AzgC/ALEApACYAI4AhQB8AHUAcABrAGcAZABhAF0AWQBUAE4ASQBEAEAAPgA9AD4APwBBAEMARABDAEMAQwBEAEgATgBXAGEAbAB3AIAAhgCKAIwAjgCRAJYAoACuAMAA1QDtAQUBHQE0AUkBXAFvAYABjwGdAaoBswG5AbsBugG1Aa4BpwGgAZwBmgGcAaIBqgG2AcUB1QHoAf0CFAItAkgCYwJ/ApgCrgK+AskCzQLLAsMCuAKsAqACmAKVApkCpAK2As0C6QMGAyMDPQNTA2UDcQN4A3wDfgN/A4EDhAOGA4kDigOIA4MDegNtA14DTwNBAzUDLQMnAyQDIwMgAxwDFQMKAvwC6QLUAr0CowKIAmwCTQIuAg8B7wHRAbQBmgGCAWsBVgFAASkBEADzANQAsQCMAGYAPgAU/+n/vf+R/2X/O/8W/vj+4v7W/tL+1/7g/uv+9P75/vj+8P7h/s7+t/6f/of+bv5W/jz+Iv4G/en9zf2y/Zr9h/13/Wz9ZP1d/VX9Sv08/Sv9Fv0A/On81PzC/LP8qPyg/Jr8lPyM/IP8dvxn/FX8Qfwt/Br8CPv5++z74PvU+8b7tPuc+3z7Vfsn+vL6uvqC+kv6Gfnt+cn5qvmQ+Xj5YPlF+SX4/vjQ+Jv4YPgi9+P3pPdp9zT3BPbb9rf2l/Z69l32P/Ye9fr10vWn9Xr1TPUf9PL0yPSg9Hv0WPQ49Bz0A/Pt89vzzPPA87XzrPOi85fzivN782vzW/NM8z/zM/Mq8yLzG/MT8wry//Ly8uTy1fLH8rnyrPKh8pfyjvKF8n3ydvJw8m3ybPJu8nLyefKC8ovylfKd8qXyq/Ky8rnywPLH8tDy2vLk8vDy/PML8xzzMPNJ82bziPOt89Pz+vQf9D/0WvRw9H/0iPSM9Iz0ivSG9ID0evRz9Gv0YvRY9Ez0QfQ29C30KPQp9DD0QPRY9Hr0o/TR9QT1N/Vn9ZL1tvXR9eL17PXu9ev15fXe9dj11PXS9dP11/Xd9ef18/YD9hb2K/ZD9lz2dvaP9qn2wvbb9vb3E/cz91f3gPet9974EfhG+Hz4svjo+R75VPmK+cH5+Pow+mr6pPrh+yH7ZPuq+/P8PvyL/Nb9H/1l/aj96P4l/mP+of7g/yH/YP+d/9MAAgAnAEQAWgBvAIcApwDVARMBYQG9AiMCjQL2A1kDswQDBEoEigTEBPwFMwVpBZ4F0wYFBjYGaAacBtUHFgdhB7QIDQhoCMAJDglPCX8JoAmzCb0JxAnLCdYJ5gn5CgsKGgoiCiAKFQoCCesJ1QnECbsJvAnFCdUJ6woDChwKNwpVCngKoQrSCwwLTQuTC9oMIAxiDJ8M1g0HDTUNYQ2NDboN6Q4aDksOfg6wDuMPFQ9GD3cPpw/WEAMQLxBXEH4QohDEEOYRBxEoEUsRbRGQEbMR1BH0EhMSMBJLEmYSghKeErwS3BL/EyUTTBN3E6MT0hQDFDYUbBSkFN4VFxVNFX8VqRXJFd4V5xXmFd0VzxXBFbcVsxW3FcMV1hXtFgYWHhY0FkcWWRZqFn0WkxarFsUW3hb1FwYXEBcTFxAXCRcCFv0W/BcCFw0XGxcqFzYXPhdAFzsXMhclFxgXDhcHFwQXBhcLFxIXHBcmFzIXQBdQF2MXeBeOF6UXvBfQF+IX8Rf+GAgYEhgaGCIYKRgvGDEYMRgsGCMYGBgKF/sX7BfeF9AXwxe2F6gXmReJF3kXaBdXF0cXNxcoFxgXBxb0FuAWyhazFpwWhRZwFloWRRYuFhYV+hXdFb0VnBV7FV0VQRUoFREU+hTjFMoUrRSNFGwUShQpFA0T9RPkE9oT1BPRE9ATzhPJE8ITthOoE5cThhNzE2ITURNBEzETIhMTEwMS+BLvEugS4hLdEtcS0BLIEr4SsRKiEpASexJjEkgSKhILEeoRyRGnEYYRZRFDESAQ/BDVEK0QhRBeEDsQHhAID/oP9A/1D/oQARAJEBAQFBAWEBUQExAREA0QCBABD/YP4w/HD54PZw8iDs8OcQ4KDZ8NNQzSDHoMMAv3C88LuAuxC7cLxwveC/kMFgwxDEkMXAxoDGsMZQxVDDsMGgv0C8sLpAuAC2ELSAs0CyILEAr7CuAKvwqXCmkKOAoGCdYJqQmBCV0JPQkhCQYI7AjSCLgInQiDCGgITwg2CB4IBwfwB9kHwgeqB5IHewdkB08HPAcsBx8HFQcPBwwHDQcPBxMHGAcbBx4HHgcbBxUHDQcDBvcG6QbbBssGuwapBpYGgQZrBlIGOQYfBgUF6wXSBboFowWKBXEFVQU3BRUE8gTOBKoEiQRsBFUEQwQ2BC4EKgQnBCQEIQQcBBUEDQQDA/oD8APmA90D0wPIA7wDrgOeA4wDeANiA0oDLwMSAvICzwKqAoMCWwIzAg4B7AHPAbYBoQGQAYABbwFdAUcBLQEPAO8AzgCtAI0AcQBYAEMAMAAfAA7////v/+D/0P/B/7H/of+R/4D/bv9c/0n/N/8n/xn/DP8C/vj+7v7j/tX+w/6u/pX+ev5d/kH+Jv4N/fX93v3I/bL9nf2K/Xn9bP1k/WT9av12/Yf9mv2s/bv9xP3E/br9p/2L/Wj9P/0U/Of8vPyU/G38Sfwm/AL73fu2+437ZPs8+xf69vrc+sj6vPq0+rH6sPqw+q/6rfqq+qb6o/qf+pz6mfqW+pL6jvqJ+oP6f/p8+nv6evp7+nr6efp0+mz6YvpV+kj6PPow+if6IPoZ+hT6DvoH+gH5+/n1+fH57/nu+e/57/nw+e/57vnt+e357vnx+fX5+fn8+fz59/nt+d35yfmy+Zv5hPlw+V75UPlE+Tj5Lvkj+Rj5D/kH+QP5A/kI+RH5H/kv+UH5U/ll+XX5g/mQ+Zr5ofmn+ar5qvmo+aT5n/mY+ZH5ivmF+YH5gPmC+Yb5jPmU+Zv5oPmk+aX5o/me+Zf5jvmH+YH5ffl9+YH5h/mQ+Zr5pfmv+bf5vfnB+cH5vfm3+a75pPmZ+Y/5h/mC+YH5hPmJ+Y/5lPmX+Zj5lPmP+Yn5hPmD+Yb5j/md+a/5w/nY+er5+voG+hD6Fvoc+iL6KPov+jf6QPpK+lX6Yfpu+n36jvqh+rX6y/ri+vr7Efsn+z37Uvtl+3f7h/uV+6D7qvux+7X7uPu6+7v7u/u7+7v7uvu3+7L7qfuc+4v7dftZ+zj7Efrn+rn6i/pe+jT6Efn3+ej55fnv+gj6Lvph+qH66/tA+5v7/Pxe/L79GP1n/aj92v37/g3+Ev4N/gT9+v3y/e/98f35/gX+E/4h/jD+Pf5J/lT+YP5t/nz+i/6b/qv+uv7H/tL+3f7o/vf/DP8n/0n/c/+i/9QABAAvAFMAbQB9AIQAhQCDAIEAgQCFAIsAkwCZAJoAlgCJAHYAXwBGADAAHwAXABkAIwA1AE0AZwCDAJ0AtQDLAN8A8gEEARUBJQEzAUABTQFZAWUBcgGAAY8BngGtAboBxQHNAdEB0wHTAdMB0wHTAdUB2AHaAd0B4AHhAeIB4gHiAeQB5gHpAewB8AH0AfcB+gH8Af4CAAIDAgcCCwIQAhYCHAIiAigCLgIzAjgCPQJCAkYCSgJNAk8CUQJTAlUCVwJbAmECaQJzAn8CjAKaAqgCtgLDAs4C2ALgAucC7QLyAvcC/gMFAwwDFQMdAyQDKQMrAygDIQMVAwQC8ALYAr8CpgKNAncCZAJTAkYCPQI3AjQCNgI6AkICTAJZAmYCcgJ9AoUCiQKJAoYCgQJ6AnQCbwJtAm0CbwJyAnUCdwJ2AnICagJhAlQCRgI2AiYCFAICAe8B3AHJAbcBpQGUAYUBdgFnAVkBSgE6ASoBGgEJAPgA6ADZAMsAvQCwAKMAlwCMAIIAegB0AG8AbABqAGcAZABfAFoAUwBMAEUAPwA8ADoAOgA6ADsAPAA8ADsAOgA5ADoAPABBAEkAUgBbAGQAbAByAHgAfQCCAIkAkwChALIAxwDdAPQBCwEhATUBSAFZAWgBdgGDAY0BlwGdAaEBogGfAZsBlQGPAYoBhwGIAY0BlwGnAbwB1gH1AhcCPAJiAocCqgLKAuQC+AMFAwsDCgMEAvoC7gLhAtcC0QLPAtMC3gLuAwMDGwM2A1ADagOAA5MDogOsA7IDtAOzA7ADqgOjA5sDkAOFA3gDagNdA1ADRAM7AzMDLgMpAyQDHwMYAw8DAwL2AucC1wLGArUCowKQAnsCZAJMAjICGAH+AeYB0AG7AagBlQGBAWwBVQE7ASABBADmAMgAqACGAGEAOAAL/9v/q/9+/1b/N/8j/xn/Gf8g/yr/M/84/zf/Lv8f/wr+8v7Y/r7+pP6K/nD+Vv47/iD+Bf3t/df9xf22/av9of2W/Yr9e/1o/VH9N/0d/QL86fzT/MD8sPyj/Jf8jPyC/HX8Z/xX/ET8L/wZ/AL76/vU+7/7qvuV+3/7ZftH+yL69/rG+o/6Vfob+eP5svmH+WX5S/k2+SX5FPkA+Ob4xPiZ+GX4Kffn96L3XPca9tz2pvZ29k72K/YM9e/10fWx9Y71afVB9Rn08vTN9Kv0i/Rv9FX0PPQk9A7z+PPk89Pzw/O286rzn/OS84TzdPNi807zOvMn8xfzCfL/8vby7vLk8tjyyPK18qDyivJ18mHyUfJE8jvyNPIw8izyKfIn8ifyKPIs8jLyOvJE8k/yWvJk8m3ydfJ88oPyi/KU8p7yqPK08sHyz/Lf8vHzBvMg8z7zYPOG863z1PP59Br0NPRI9Fb0X/Rj9GT0ZPRi9GD0XPRW9E30QPQw9B70CvP48+nz4fPh8+z0AfQh9En0efSs9OH1E/VC9Wr1i/Wk9bT1vvXC9cH1vvW59bT1r/Ws9az1rvWz9b31y/Xd9fP2DfYp9kb2Y/Z+9pf2rfbC9tf27fcG9yP3Rfds95b3xPf0+CX4V/iI+Lr47fkh+VX5i/nB+fj6MPpo+qL63vse+2L7qvv4/En8nPzx/Ub9mf3q/jn+hv7S/xz/Y/+o/+cAIgBVAIEApgDIAOcBBwErAVcBiwHHAgwCVwKmAvUDRAOQA9kEIARkBKgE6gUqBWkFpQXdBhMGRgZ5Bq4G6AcoB3AHvwgSCGYItgj+CTsJbAmQCaoJvQnLCdYJ4QnqCfEJ9Qn0Ce0J5AnZCdEJzgnUCeIJ+AoUCjMKUQpsCoQKmwqyCs0K8AsdC1QLlQvcDCcMcAy1DPUNLQ1fDY0NuQ3lDhEOPw5vDqAO0Q8DDzUPZg+YD8oP+xArEFkQhRCuENQQ+BEaETsRXBF9EZ0RvhHeEfwSFxIxEkgSXRJxEoYSnBK1EtIS8xMYE0ITcBOhE9QUCxRDFH0UuRT1FTAVaRWdFckV7BYDFg0WDBYAFe4V2RXHFbsVtxW+Fc4V5hYCFh8WPBZVFmsWfhaRFqMWtxbLFuAW8xcCFwwXEBcOFwkXAxb/FwEXCBcWFycXOhdKF1UXWBdSF0UXMxcgFw8XBBcAFwQXDxcgFzUXTRdlF34XlResF8EX1hfpF/oYCRgWGCEYKxg0GD4YRxhQGFcYXBheGFsYVBhJGDsYLBgeGBEYBRf7F/EX5RfXF8UXsReaF4IXbBdYF0gXOxcwFyYXGRcJFvQW3BbAFqIWhRZpFk8WNxYgFgkV8hXaFcEVqBWOFXYVXxVJFTMVHBUBFOMUwBSZFHAUSRQkFAYT7xPhE9oT2RPbE98T4RPgE9oT0RPDE7ETnhOIE3ITXBNHEzMTIRMREwwTAhL8EvgS9hLzEu4S5hLbEswSuRKkEo0SdBJaEj4SIRIBEeARvBGWEW4RRBEYEOsQvxCUEGwQSxAwEB4QFhAWEB4QKxA5EEcQUhBWEFUQThBDEDYQJxAYEAoP+g/oD88Prg+CD0gPAA6qDkkN4Q11DQsMqAxRDAoL1QuzC6MLoguuC8EL2QvyDAoMHwwwDD0MRgxKDEgMQAwxDBsL/gvcC7cLkQttC0sLLQsRCvgK3grCCqMKfgpWCisJ/gnTCakJgwlgCUAJIgkDCOQIxAiiCH8IXAg5CBYH9gfYB7wHogeKB3UHYgdRB0MHNwcsByMHGwcVBw4HCQcEBwAG/Qb8BvwG/Qb+BwEHAwcEBwQHAwcBBv0G9gbuBuMG1QbEBq8GlwZ8Bl4GPwYgBgIF5wXPBboFqAWXBYcFdQVgBUgFLAUNBOwEywStBJEEeQRnBFkETwRHBEAEOAQvBCQEFgQGA/QD4gPQA74DrwOgA5QDigOAA3YDbANgA1MDQwMvAxkDAALjAsMCogJ/AlsCOAIWAfUB1gG6AaABhwFvAVcBPgEkAQgA6wDOALEAlAB5AF8ARwAxAB0ACv/5/+n/2f/K/7v/q/+b/4r/d/9j/0//Ov8o/xf/Cf79/vL+5/7b/s3+vP6o/pH+ef5h/kn+M/4f/gz9+f3n/dP9wP2s/Zr9jP2D/YD9hf2Q/aH9tv3L/d797P3y/e/94P3H/aT9ef1H/RP83vyr/Hr8Tvwl+/772Puy+4z7Y/s7+xT67/rQ+rb6pPqX+pD6jPqK+oj6hvqC+n76efp1+nL6b/pt+mz6bPpr+mr6avpp+mn6afpn+mT6X/pX+k36Qfo0+ij6HfoT+gv6BPn++fj58fnq+eP53vna+dj51/nY+df51vnS+c35yPnE+cL5xfnL+dT53vnl+ej55PnY+cX5rvmV+X35afla+VD5SvlF+UD5OPku+SD5EPkB+PT46/jm+Oj47vj5+Qf5GPkq+T35Tvld+Wr5cvl1+XP5bflj+Vj5TflD+T75PPk++UT5TPlV+V35Y/ln+Wf5Zflh+Vv5U/lL+UP5PPk2+TL5MPkx+TT5OvlB+Uv5Vvlh+Wz5dvl9+YL5hPmC+X35dflr+WD5V/lQ+Uz5TPlQ+VX5XPli+Wb5Z/ln+WX5ZPlj+Wb5bfl3+YX5lvmn+bn5y/nb+er59/oD+g/6Gfoj+iz6NvpA+kv6WPpo+nn6jvqj+rr60fro+v37Efsj+zT7RPtT+2H7bvt5+4P7ivuQ+5T7l/uZ+5v7nfue+6D7oPuf+5z7lfuL+337a/tV+zn7Gvr2+s/6pvp8+lX6M/oZ+gn6BPoN+iT6Sfp8+rz7B/td+7r8G/x9/Nr9L/14/bH92/30/f/+AP36/fL96v3n/ej97/35/gX+E/4g/iz+N/5C/k3+Wf5m/nT+gv6Q/p3+qP6x/rn+wf7K/tf+6v8F/yj/VP+H/77/9gArAFkAfACTAJ4AngCWAIoAfgB0AHAAcQB2AH0AhACIAIcAgQB3AGoAXQBRAEkARgBIAE4AWABmAHcAigCfALYAzwDoAQEBGQEvAUIBUwFjAXIBgQGRAaMBtQHHAdgB5gHwAfYB+QH6AfkB+AH4AfkB/AH/AgICBAIGAgYCBgIGAgYCCAIKAg0CEAITAhUCFwIZAhoCHAIfAiMCKAIuAjQCOwJBAkcCTAJSAlcCXQJkAmsCcgJ4An4CgQKEAoUChQKEAoUChwKMApMCngKqArkCxwLUAuAC6gLxAvcC/AMCAwcDDgMXAyADKgMzAzoDPwNBAz8DOQMvAyADDwL6AuQCzQK2AqACiwJ5AmoCXwJXAlMCUwJVAlsCYwJtAncCgQKJAo8CkgKRAo4CiAKBAnoCdQJyAnICdQJ7AoEChgKJAooChgJ+AnECYQJPAjoCJAIOAfkB5AHRAb8BsAGhAZMBhgF5AWsBXAFMATwBLAEcAQ0A/gDwAOMA1QDIALoArACeAJEAhgB9AHgAdQB0AHMAcwByAG8AagBjAFwAVQBPAEoASABHAEcARwBHAEUAQwBAAD0APAA7AD0AQABFAEwAUwBaAGMAawB1AIEAjwChALUAywDjAPwBFQEsAUEBVAFlAXQBgQGNAZgBoQGoAa4BsgGzAbIBrgGoAaIBnQGaAZsBogGwAcUB4QIEAisCVAJ+AqUCyALkAvoDCAMPAxADDQMHAv8C9wLxAuwC6wLtAvIC+wMHAxYDJgM4A0sDXQNvA4ADjgOaA6IDpwOnA6QDnQOTA4YDeANpA1sDTQNDAzoDNAMwAywDKQMkAx0DEwMHAvkC6gLbAswCvwKzAqcCnAKQAoMCcwJiAlACPgIsAhsCCwH7AeoB1gHAAaYBigFsAU8BMwEZAQIA7ADVALoAmgBzAEYAFf/k/7b/kP90/2P/Xf9f/2T/af9q/2X/WP9F/y3/E/74/t3+w/6q/pL+e/5j/kv+NP4e/gv9+/3t/eD90v3E/bL9nf2E/Wn9S/0t/Q/88vzY/L/8qfyV/IP8c/xj/FT8Rfw2/CT8EPv5+9/7wvuj+4P7YvtA+x76/PrX+rD6hfpW+iT58Pm8+Yr5XPk0+RP4+Pjk+NP4xPiz+J74g/hg+DT4APfF94b3RfcF9sj2kfZh9jj2FfX29dr1vvWg9YD1XvU69RX08fTP9K/0kfR29Fv0QfQn9A3z9PPc88fztvOn85vzj/OD83XzY/NP8zfzH/MI8vPy4vLU8snyv/K08qbylPJ+8mbyTPI08h/yD/ID8fzx+fH48ffx9/H28fbx9/H68gDyCPIS8h3yKPIy8jvyQvJI8k7yVfJd8mfyc/KB8pHyovK18sry4fL88xrzPPNi84nzsPPV8/b0EfQn9DX0P/RF9Ej0SvRL9Ev0SvRF9D30L/Qd9Afz7/PZ88fzvfO888fz3PP89CP0UPR/9K702vUC9SX1Q/Vb9W/1fvWJ9ZD1lPWW9ZX1lPWS9ZL1k/WZ9aP1svXG9d/1/PYa9jn2VvZv9oX2l/am9rX2xPbX9u/3DPcv91b3gPes99j4BPgw+Fv4h/i0+OT5FvlK+X/5tfns+iP6W/qW+tX7Gftj+7P8Cfxk/MP9Iv2B/d/+Of6Q/uT/Nf+F/9MAHwBoAK8A8AErAWABjAGzAdQB8QIMAikCSgJvApoCywMDA0EDhQPNBBkEZwS3BQcFVQWfBeMGIwZdBpMGyAb+BzgHdwe7CAQITwiZCN0JGwlOCXgJlwmuCb4JyAnOCc8JzAnGCb4JtwmzCbcJxQneCgEKLgpgCpIKwAroCwkLIgs5C1ALbQuTC8IL+ww8DIEMxw0KDUgNgQ22DecOFg5FDnUOpg7XDwcPOA9oD5gPyA/4ECoQWxCMELwQ6RETEToRXRF9EZwRuRHWEfISDRInEj4SUhJjEnESfRKIEpYSphK8EtcS+hMkE1QTihPEFAIUQRSBFMIVAhU/FXoVsBXgFgYWIhYxFjQWKhYYFf8V5hXRFcMVwBXJFd4V+xYdFkAWYhaAFpgWrRa+Fs0W3BbqFvgXBBcNFxMXFRcVFxQXFBcYFyEXLhc/F1EXYRdsF3AXaxdgF08XPRcuFyUXIxcqFzoXUBdrF4gXpRfAF9kX8BgEGBUYJRgzGD8YSRhSGFsYZBhtGHcYgBiJGI4YkBiNGIUYeBhpGFcYRxg6GDAYKRgiGBsYERgBF+sX0BexF5EXcxdZF0UXNRcpFx8XExcEFvEW2Ra9FqAWghZmFkwWNRYgFgwV+BXkFdAVuxWlFZAVexVlFU0VMxUUFPAUyBSeFHMUSxQnFAsT9hPqE+QT4xPkE+QT4xPfE9gTzRPAE7EToBONE3kTZRNQEzsTKRMYExITBhL+EvoS+BL1EvES6BLbEsgSsRKWEnkSWhI6EhoR+RHYEbURkBFoET4REhDlELgQjRBnEEcQMBAjECAQJxA2EEoQXhBvEHoQfBB1EGYQUBA3EBwQAw/rD9MPuw+eD3oPTQ8UDs4OfQ4iDcENXgz8DKAMTwwMC9kLuAuoC6gLtAvJC+IL+wwRDCIMLQwzDDUMMgwtDCYMHAwPC/0L5wvNC68LjQtqC0YLIgr+CtoKtAqNCmQKOgoPCeUJvAmXCXUJVgk4CRsI/QjdCLoIlQhvCEgIIQf7B9gHtgeVB3cHWwdCBywHGwcOBwYHAgcBBwIHAgcBBv4G+QbxBugG3wbXBtEGzwbPBtIG2AbfBucG7gb1BvsG/gb+BvoG8QbjBs8GtAaUBnAGSQYhBfwF2wW/BakFmQWNBYQFegVvBV8FTAUzBRgE+gTeBMQErgScBI8EhgSABHoEcgRnBFgERAQrBA4D7gPOA68DkgN6A2cDWQNQA0kDRQNCAz0DNgMtAyEDEQL+AucCzQKvAo0CaAJBAhkB8AHJAaUBhAFoAU4BNwEhAQwA9gDfAMcArQCSAHcAXABCACoAFP///+z/2v/J/7j/qP+X/4X/cv9f/0z/Of8n/xb/CP76/u7+4P7R/sD+q/6T/nr+X/5F/i3+F/4E/fT95f3X/cn9vf2x/aj9o/2i/ab9r/29/c794P3w/f3+BP4E/fv96P3M/af9ev1G/Q/81vyf/Gv8O/wQ++n7xfuh+337WPsx+wn64/q/+qH6ifp4+m36Zvpj+mH6YPpe+lv6WPpU+lL6UPpQ+lH6UvpU+lb6WPpZ+ln6V/pT+k36RPo4+iz6HvoS+gf5//n4+fP57vno+eH52fnQ+cn5w/nA+b/5wfnD+cP5wPm5+a/5pPma+ZT5k/mZ+aT5sfm9+cT5wvm5+af5kPl4+WL5UPlE+T35Ofk2+TD5JvkX+QX48fjd+Mz4wPi5+Lf4uvjB+Mv41vjk+PL5AfkQ+Rz5JPkm+SP5GfkM+Pz47fjh+Nv43Pjj+PD5APkQ+R75Kfkt+S35J/kd+RH5A/j2+Or43/jY+NT41PjY+N/46vj2+QT5E/kh+S75OPlA+UX5SPlH+UP5PPk0+Sv5Ivka+RX5EvkR+RT5Gfkf+SX5K/kx+Tb5O/lB+Uf5TflW+V/5avl3+YX5lfmm+bj5y/nf+fP6BfoX+ib6NfpC+lD6X/pw+oL6l/qs+sH61vro+vn7B/sU+x/7Kvs1+z/7SftS+1n7X/tl+2n7bvty+3j7fvuE+4r7jvuQ+477ifuA+3P7Y/tQ+zn7Hvr/+t36uvqV+nP6Vfo++jD6Lfo4+lD6dvqq+uv7OPuN++r8Svyp/QL9Uf2U/cb96P37/gL+AP35/fL97f3s/e/99v4A/gr+FP4d/ib+Lv44/kP+T/5e/m3+ff6M/pr+pv6w/rn+wv7L/tb+5f75/xX/OP9l/5j/0QANAEYAeAChALsAyADHALwArACaAIwAhACFAIwAmgCsAL0AzADYAN4A4ADeANgAzwDFALkArACgAJYAkQCQAJUAogC1AM4A6gEHASQBQAFZAXEBhwGbAbABxAHXAekB+AIDAgsCEAISAhQCFAIVAhcCGQIbAh4CHwIgAiACHwIfAiACIgIlAikCLQIwAjMCNgI4AjoCPAJAAkUCSwJTAloCYgJpAm4CcwJ3AnsCgAKFAowCkwKbAqICqAKtAq8CrwKtAqwCqwKsArECuALDAs8C3QLqAvYDAAMHAw4DEwMZAyADKAMxAzoDQgNIA0wDTANKA0UDPgM1AysDHwMTAwQC9QLkAtICwQKxAqIClQKLAoQCfwJ8AnsCfAJ9AoACgwKFAocCiAKIAoUCggJ+AnoCdwJ2AnkCfgKEAowCkwKXApcCkwKKAnwCagJVAj4CJwIRAfwB6QHXAccBuQGrAZ4BkQGDAXQBZQFWAUYBNgEnARkBDAD/APIA5QDXAMkAugCrAJ4AkgCKAIUAhACGAIkAjQCRAJIAkQCMAIYAfgB2AG4AaABkAGIAYQBhAGEAYQBfAF4AXABaAFkAWQBbAF4AYwBpAHEAfACIAJcAqQC9ANMA6wEEAR0BNQFMAWEBdAGEAZMBoAGrAbUBvwHHAc8B1QHZAdsB2wHYAdQBzwHMAcsB0AHbAe0CBgIlAkkCbgKTArUC0gLpAvoDBQMLAw0DDgMNAw0DDQMOAxADEwMXAxwDIwMqAzIDOwNEA08DWQNlA3ADewOFA40DkwOVA5MDjAOCA3QDZQNUA0UDOAMuAyYDIQMdAxkDFAMMAwIC9QLmAtYCxwK6Aq8CpwKhAp0CmAKTAowChAJ6Am8CZAJaAlECRgI6AioCFAH5AdkBtQGRAW8BUwE9AS4BIgEXAQgA8wDUAKsAewBHABT/5//D/6r/m/+U/5L/j/+K/37/bf9W/zz/If8F/uz+1P6+/qn+lP5+/mn+VP5B/i/+H/4R/gL98/3h/cz9s/2Y/Xn9Wv06/Rn8+vzb/Lz8n/yD/Gn8Ufw7/Cj8F/wG+/X74PvI+6v7ifti+zj7DPrg+rX6jPpl+j/6Gvn1+c/5qPmB+Vr5NfkS+PL41/jA+Kz4mviK+Hj4Y/hK+Cr4A/fW96L3a/cz9vz2yPaZ9m/2TPYt9hH19vXa9bz1nPV69Vb1MvUN9On0xvSj9H/0WvQ29BHz7/PP87XzoPOQ84Xze/Ny82bzVvNB8ynzDvLy8tnyxPKy8qPyl/KJ8nryaPJS8jryIfIK8fbx6PHf8drx2fHZ8dnx2fHX8dXx1PHU8dfx3fHl8e/x+fIB8gnyDvIS8hbyG/Ij8i3yPPJN8mHydvKN8qXyvfLX8vTzEvMz81bzevOd877z2/P09Af0FfQf9Cb0K/Qv9DH0MfQt9Cb0GfQI8/Pz3PPH87Xzq/Oq87LzxPPf8//0I/RH9Gv0jPSs9Mn05PT+9Rf1L/VE9Vb1ZfVv9XX1ePV59Xn1evV+9Yb1k/Wm9b311/Xz9g72J/Y89kz2WfZk9m/2fPaO9qf2xfbr9xT3Qfdt95j3v/fl+Af4KvhO+HX4oPjQ+QT5Ovlz+a356Poj+mD6ofrm+zH7gvva/Df8l/z6/Vz9vP4a/nX+z/8p/4X/5ABGAKoBDQFsAcICCgJCAmgCfgKFAoMCfAJ2AncCggKZAr0C7wMuA3gDzAQmBIYE5wVHBaIF9QY+Bn4GtAblBxMHQwd2B7AH7wgyCHUItgjwCSIJSwlqCYIJlAmgCagJrAmuCa8JsQm2CcMJ2Qn7CikKYQqfCt4LGgtOC3kLmgu0C8wL5QwEDCsMWwySDM4NDQ1LDYcNwQ35Di8OZQ6bDtEPBg86D2wPmw/ID/UQIRBOEH0QrRDfEQ8RPhFpEZERtBHTEe4SBxIfEjQSSBJbEmoSdhKAEogSjhKVEp4SrBLBEt4TBBMzE2kTpxPqFDAUdxS9FQEVQRV9FbQV5BYNFi4WRBZQFlEWSBY3FiEWChX2FekV5hXuFf8WGBY2FlUWcxaMFqIWsxbBFs0W2RbkFu8W+hcEFwwXFBcaFyEXKhc1F0MXUhdhF24Xdhd4F3QXahdeF1IXShdIF1AXYBd4F5YXthfXF/UYDxgkGDUYRBhPGFoYZBhtGHcYgBiIGJEYmRiiGKsYsxi6GL0YvBi2GKsYnRiMGHsYbBhgGFkYVBhQGEoYQBgxGBoX/RfbF7cXkxdyF1UXPRcpFxYXBBbxFtwWxRasFpQWfBZmFlIWQBYtFhsWCBX0FeAVyxW3FaIVjRV3FV4VQhUgFPoU0RSnFH4UWRQ6FCIUERQGE/4T+RPzE+sT4hPXE8sTvhOzE6gTnROQE4ITchNfE0sTNhMjExYTBRL5EvMS8RLwEu0S5hLZEsUSqhKIEmMSOhIQEeYRvRGVEW8RSRElEQIQ3xC9EJ0QgBBoEFUQShBHEE0QWRBqEHsQiRCREJAQhBBuEFEQMBAND+wPzQ+xD5UPdw9UDygO8g6xDmcOFQ3ADWkNFQzFDH0MPgwLC+QLygu+C78LyQvbC/IMCAwbDCkMMAwyDC0MJQwaDA0MAAvxC+ELzQu2C5sLfAtaCzULDgrkCrgKigpaCikJ+AnKCZ4JdwlUCTYJGQj+COIIwwiiCH4IWAgyCA0H6gfKB6sHjgdxB1UHOgchBwsG+QbtBucG5gboBuwG7wbvBusG4wbXBskGuwauBqYGogajBqkGsga+BssG2AblBvAG+gcABwQHAgb6BusG1Qa3BpIGaQY+BhUF7wXQBbkFqAWdBZUFjgWFBXgFZgVPBTQFGAT8BOQEzwTABLcEsQSsBKgEoQSXBIYEbgRQBCwEBAPZA64DhgNiA0UDLwMgAxgDFAMTAxQDFAMTAw8DCAL9Au0C2AK+Ap4CeAJNAiAB8QHDAZgBcQFRATUBHwEMAPsA6gDYAMQArwCXAH8AZgBOADUAHgAH//L/3f/K/7f/pP+S/4D/bf9a/0f/Nf8j/xP/A/71/ub+1/7F/q/+lv55/lr+OP4X/ff92v3C/a79n/2U/Y79jf2R/Zr9qP25/c394v32/gb+Ef4V/hH+Bf3y/dj9uP2T/Wn9O/0J/NX8oPxt/Dv8Dfvk+7/7nft9+137O/sY+vL6zfqq+or6b/pb+k36RfpA+j76Pfo8+jv6Ofo2+jT6Mvox+jH6Mfoy+jP6NPo1+jX6NPov+ij6HvoQ+gL58/nm+dv51PnQ+c35y/nH+cH5ufmw+af5ofmf+Z/5o/mm+af5o/ma+Yv5efln+Vr5U/lV+V35a/l4+YL5hPl++W/5XPlF+TH5IPkU+Qz5Bvj++PP45PjR+Lz4qPiX+Iv4hviF+In4j/iW+Jv4oPil+Kr4sPi3+L/4xfjI+Mb4v/i0+KX4l/iM+Ib4h/iP+J34rvjB+NL43vjk+OX43/jT+MT4s/ih+JD4g/h5+HX4d/iA+I74ofi2+Mz44fjz+QH5CvkO+Q/5DfkJ+QT4//j5+PT47/jq+Ob44/ji+OP45fjq+PH4+fkD+Q75Gfkk+S75OPlB+Un5Ufla+WX5cvmD+Zf5rvnH+eH5+voT+in6PfpP+l/6b/p/+o/6n/qv+r76zPrX+uL66/r0+v77CfsU+yD7K/s2+z77RftK+077U/tY+1/7Zvtv+3b7e/t++337ePtv+2P7U/tB+yv7E/r3+tn6uvqb+n/6afpa+lX6XPpw+pH6v/r4+z37i/vg/Dn8lPzr/Tz9gv27/eX9//4M/g/+Cv4D/fz9+P33/fr9//4G/gz+Ev4Y/h7+J/4x/j7+Tv5h/nT+iP6b/q7+v/7Q/t/+7P75/wP/Dv8Z/yj/PP9Y/37/r//oACYAZQCfAM4A7gD/AQEA9wDnANQAxQC9AL0AxwDZAPEBDQEqAUYBYAF0AYMBigGIAXsBZQFHASMA/QDZALwAqgCjAKkAuwDVAPQBFwE5AVoBeQGVAa8BxgHbAe4B/QIKAhMCGgIfAiICJQInAioCLQIwAjICMwIzAjICMQIxAjICNAI3AjoCPwJDAkcCSgJNAlECVQJbAmICawJ1An8CiQKRApgCnQKgAqICowKlAqkCrgK0ArwCwwLKAs4C0ALQAs8CzgLNAs8C1ALcAuYC8QL9AwgDEAMXAx0DIwMpAzADOANBA0oDUANVA1UDUwNOA0cDQAM4AzIDKwMkAx0DEwMIAvwC7gLgAtMCxwK8ArMCqgKiApoCkgKLAoUCgAJ8AnoCeQJ4AngCdwJ2AnUCdQJ3AnsCgAKHAo0CkQKTApACiQJ8AmwCWQJEAi8CGgIIAfcB6AHaAc4BwgG3AaoBngGRAYIBcwFkAVQBRAE0ASUBFgEIAPoA7QDfANIAxgC6AK8ApwCjAKEAowCoAK8AtwC9AMIAxADDAL4AtgCtAKQAmwCUAI8AjACMAI0AjwCSAJQAlgCXAJgAmACZAJoAnACgAKYArgC6AMgA2ADrAP8BFAEpAT4BUgFkAXYBhgGVAaMBsAG9AcgB0gHcAeYB7gH1AfoB/gIBAgICAgICAgUCCwIVAiQCOQJSAm4CiwKnAsEC2ALrAvsDCAMSAxsDJAMrAzIDOAM9A0ADQwNGA0gDTANQA1YDXQNkA2wDdAN8A4MDiwORA5YDmAOYA5MDiwN+A24DXANIAzUDJAMVAwoDAQL6AvMC7ALjAtkCzQLBArUCqwKlAqECoQKjAqYCqQKqAqoCpwKjAp0CmAKSAowCgwJ3AmUCTAIrAgYB3gG3AZUBewFrAWQBYgFiAV0BTgE0AQ0A2gCiAGcAMQAE/+D/yP+3/6v/of+V/4T/cP9X/z3/I/8K/vP+3v7K/rb+of6M/nf+Yf5N/jr+Kf4Z/gn9+P3l/c/9tv2b/X79YP1A/SD8/vzc/Ln8lvxz/FH8MvwW+/375/vS+737pfuJ+2j7QfsW+uf6t/qH+lv6M/oP+fD51Pm7+aT5jPlz+Vn5Pfkh+QT46fjP+Lj4pPiS+IH4b/hc+ET4J/gE99v3rfd890n3Gfbr9sH2nfZ89l72QvYm9gn16fXH9aP1fvVX9S/1BfTa9K30fvRP9CHz9fPO863zlPOB83XzbPNk81vzTfM68yLzB/Lr8s/ytvKh8o7yfvJu8l3ySvI08h3yBvHx8d/x0/HM8cjxyPHI8cjxxvHD8b/xu/G48bjxu/HA8cfxzvHV8drx3vHh8eTx6fHy8f/yEPIl8j7yWPJy8ozypPK78tLy6PMA8xrzNfNS82/zi/Om873z0PPg8+zz9fP79AD0AvQA8/vz8vPk89PzwPOu86DzlvOU85vzqPO889Tz7/QJ9CP0PPRU9G30h/Sj9L/03fT59RP1KPU59UT1SvVN9U71UPVT9Vr1ZPV09Yf1nfWz9cn13PXr9ff2APYH9g/2G/Yu9kj2a/aU9sP29Pck91H3ePea97f30vfu+Az4MPhb+Iz4xPkA+T/5f/m/+f/6QPqC+sj7Evti+7j8E/xx/NH9MP2O/en+Q/6e/v3/Yv/PAEUAwQE9AbQCHgJ1ArUC2wLpAuQC0QK5AqICkwKQAp0CuQLlAyEDawPCBCMEiwT2BV8FwgYaBmUGogbUBv0HJAdMB3kHrAflCCEIXQiVCMcI8gkXCTcJVAlvCYkJoQm2CckJ2AnlCfQKBwoiCkgKdwquCuoLJgteC44LtgvXC/MMDgwsDFAMfAyuDOUNHw1bDZcN0w4PDkwOig7JDwgPRg+AD7YP5xAUED0QZhCOELkQ5REUEUIRcBGbEcIR5RIEEh4SNRJJElsSahJ3EoISixKSEpgSnhKmErESwRLYEvYTHRNME4UTxRQKFFMUnRTlFSkVZxWeFc4V9hYWFi8WQRZLFk4WSxZCFjcWKxYhFhoWGRYfFioWORZLFl0WbxZ+FosWlhahFq0WuRbHFtcW5hb2FwUXExchFy8XPhdNF1wXaRdzF3kXehd1F20XYxdbF1cXXBdpF4EXoBfFF+wYEhgzGE8YZBhzGH0YhRiLGJEYmBigGKgYsRi5GMAYxxjNGNIY1xjaGNoY2BjSGMkYvRixGKQYmBiPGIgYhBh/GHoYchhkGFIYOhgdF/wX2he2F5EXbhdLFykXCRbqFs0WtBadFosWfBZuFmEWUxZDFjEWHBYGFe8V2BXDFa8VmhWEFWsVTRUqFQMU2hSxFIwUbBRTFEEUNBQrFCMUGRQNE/8T7hPdE84TwRO3E7ATqxOkE5kTixN3E18TRRMsEx8TChL7EvIS7hLsEugS4RLSErwSnRJ2EkkSGBHlEbIRgRFVES0RChDsENQQwBCvEKEQlhCOEIkQiBCLEJIQnBCmEK0QrxCoEJkQfxBeEDgQEA/qD8cPqA+LD28PTg8mDvUOug53Di0N4g2YDVINEQzWDKEMcgxIDCUMCQv1C+oL6AvvC/sMCwwaDCUMLAwtDCgMHgwRDAEL8AvdC8gLsAuVC3cLVgsyCwoK4Aq0CoQKUwofCesJtwmGCVkJMQkPCPEI1gi8CKAIgwhjCEEIHQf7B9sHvgejB4sHdAddB0UHLQcWBwAG7wbjBtsG2QbaBt0G3gbbBtUGyga8BqwGngaSBooGiAaLBpMGnQapBrYGwgbMBtYG3wbnBu0G8QbxBuwG4AbNBrMGkwZxBk0GLAYQBfkF6AXbBdAFxAW1BaAFhgVnBUYFJAUFBOoE1QTFBLsEtASvBKoEoQSVBIQEbQRQBC0EBAPYA6oDfQNSAywDDQL1AuYC3wLdAuAC5QLrAu8C8ALsAuIC0gK7ApwCdwJNAh4B7QG9AY8BZQFBASIBCQD0AOIA0QDBALEAoQCRAH8AbQBZAEUALwAZAAL/6//V/7//qv+X/4T/cf9e/0r/Nv8i/w7++v7o/tb+w/6t/pX+d/5V/i/+Bf3b/bH9i/1r/VP9RP0//UX9VP1r/Yn9rP3R/fT+E/4o/jP+Mv4k/gv96P2//ZL9ZP01/Qj82/yu/IH8VPwo+/z70/ut+4v7a/tO+zL7Ffr2+tb6tfqU+nX6WvpE+jP6J/of+hv6GfoX+hb6FfoT+hH6DvoL+gf6BPoB+gD6APoB+gP6BPoD+f/59/nq+dr5yfm5+av5ofmc+Zn5mPmW+ZL5jPmE+Xz5dvl0+Xb5e/mA+YL5f/l1+WT5Tvk3+SP5F/kS+Rf5Ifkt+Tb5Ofkz+Sb5E/j9+Oj41vjI+L34s/in+Jn4hvhy+F34TPhB+D74QfhL+Ff4Y/hr+G74bPho+GL4Xfhc+F34YPhj+GX4Y/he+Fb4TfhE+D/4PvhD+Ez4Wfhn+HX4gPiI+Iv4iPiB+Hb4Z/hX+Eb4N/gs+Cf4Kvg0+Eb4Xvh5+JX4rvjD+NH42fja+Nf40vjL+MX4wfi/+L74v/jB+MT4xvjJ+Mz40fjX+N/46fj0+QL5EPkd+Sr5NvlA+Uj5UPlY+WL5b/l/+ZP5qvnD+d/5+voU+iz6QfpV+mb6dfqD+pD6m/qk+qv6svq3+rz6w/rL+tf65vr3+wj7Gvsp+zX7PftD+0b7SPtJ+0z7T/tT+1f7WftZ+1b7UftI+z37MPsg+w76+vrj+sr6sPqY+oT6dvpy+nn6jfqt+tr7EvtU+5377Pw9/JD84f0u/XL9rf3a/fr+Dv4W/hb+Ef4K/gT+Af4B/gL+Bf4J/g3+EP4U/hv+JP4y/kP+WP5v/oj+oP65/tD+6P7+/xT/KP85/0f/UP9W/1v/Yv9v/4X/qP/WABAAUACQAMwA/QEfATIBNwExASMBEwEFAP0A+wECARIBKgFKAXEBnQHLAfcCHQI4AkQCPQIkAfsBxQGJAU4BGgDyANkA0ADVAOYA/wEeAT4BXgF9AZoBtQHNAeMB9QIEAhACGQIgAiYCKwIwAjUCOgI+AkICRAJFAkQCRAJDAkMCQwJFAkcCSQJMAk8CUgJVAloCYAJoAnICfgKKApgCpAKwArkCvwLDAsQCxQLFAscCygLPAtYC3wLnAu4C8gL0AvMC8QLvAu8C8QL3Av8DCQMTAx0DJQMrAy8DNAM4Az4DRgNOA1cDXgNjA2UDYwNfA1kDUwNMA0YDQAM6AzMDKgMgAxUDCAL8AvEC5gLcAtICxwK8Aq8CoQKUAokCfwJ5AnYCdQJ2AngCeQJ6AnsCfAJ+AoACgwKHAokCigKGAn8CdAJlAlMCQAItAhwCDAH/AfMB6QHfAdYBzQHEAboBsAGkAZgBigF7AWsBWQFHATQBIgERAQEA9ADoAN4A1gDQAMwAywDLAM4A0gDYAN8A5wDuAPMA9gD2APQA7wDpAOEA2QDSAM0AyQDIAMgAyQDMAM8A0wDVANgA2QDbANwA3QDfAOMA6QDxAPwBCQEXASUBNAFCAU8BXAFoAXQBgQGPAZ4BrgG+Ac0B2wHpAfQB/gIHAg8CFwIeAiQCKwIyAjkCQgJNAlsCawJ9ApECpQK5AssC3QLtAv0DDAMbAyoDOANFA08DVgNZA1kDWANWA1UDVwNbA2MDbQN4A4IDjAOUA5oDngOfA54DmwOVA4wDfwNvA1sDRQMvAxgDBALyAuQC2QLSAswCxwLDAr4CugK1ArICsAKxArUCuwLCAsoC0QLWAtkC2gLZAtYC0gLMAsUCuwKrApUCeAJVAi8CBwHjAccBtAGsAa4BtQG9Ab0BswGaAXEBOwD9ALsAewBDABT/8P/U/77/qv+W/4H/af9P/zX/G/8D/u3+2P7E/q/+mP6B/mr+U/49/ij+FP4C/fD93f3J/bT9nP2D/Wj9TP0v/Q/87vzK/KT8fvxW/DD8Dfvs+8/7s/uZ+377YftA+xv68frF+pj6a/pB+hv5+/ng+cr5uPmp+Zz5j/mA+W75WvlD+Sr5EPj2+N74yfi2+KX4lPiB+Gz4Ufgx+Az34fez94T3Vfcp9wD22/a49pn2evZc9jz2HPX69df1svWM9WT1OfUN9N70rPR69Ef0FvPq88Pzo/OK83jza/Ng81TzRvM18x/zBvLr8s/ytfKd8ofycvJe8kryNPIe8gfx8fHe8c7xw/G88bnxuPG48bfxtfGx8azxpvGh8Z7xnfGe8aDxo/Gn8arxrfGw8bXxvfHI8djx7fIG8iLyQPJd8nnykfKl8rfyxvLU8uLy8vMF8xrzMfNJ82Hzd/OK85rzp/Oy87nzv/PB88HzvfO186vznvOQ84PzevN383nzgfOO86Dzs/PI893z8vQH9B70NvRR9G30ivSm9L/01fTm9PP0/PUC9Qf1C/US9Rv1J/U29Uj1XPVw9YP1k/Wf9aj1rfWw9bT1vPXK9eH2AfYq9ln2jPa/9u73Gfc891r3dfeO96r3yvfy+CL4WfiV+Nf5Gvld+aD54foj+mX6q/r1+0X7mvv0/FD8q/0D/Vj9qf36/kz+pv8L/3z/+gCCAQwBkQIIAmoCswLiAvgC/AL1AukC3gLbAuEC8gMPAzgDbgOxBAEEXATABScFjQXsBkAGhga/Bu0HFgc8B2UHkwfFB/kILQhdCIgIrgjSCPUJGwlFCXIJoAnMCfIKDwojCi8KOApDClQKbwqUCsMK9gsrC14LjAu0C9gL+gweDEUMcQyhDNYNDg1IDYINvw3+DkAOhQ7NDxYPXQ+hD98QFxBHEHIQmhDAEOcRDxE4EWIRjBG0EdoR/RIcEjcSTxJkEnQSghKNEpUSnRKkEqsStRLAEs8S4RL4ExQTNRNeE48TxxQGFEoUkRTXFRkVVhWJFbQV1RXtFf8WChYSFhgWHBYfFiMWJxYsFjMWPBZFFk4WVxZfFmYWbBZxFncWfhaIFpYWpxa6FtAW5hb7Fw8XIhc0F0QXVBdiF3AXexeCF4YXhheDF34Xexd7F4EXjxelF8MX5RgLGDAYURhuGIUYlhiiGKoYsRi2GL0YxBjLGNMY2xjhGOYY6RjsGO0Y7RjtGOsY6BjlGOAY2hjUGM0YxhjAGLoYtBivGKgYoRiXGIwYfRhqGFMYNxgVF+4XwheSF2AXLxcCFtoWuxajFpMWiBaAFngWbhZfFk0WNhYeFgYV7hXYFcMVrhWWFXoVWRU0FQsU4RS6FJgUfRRpFFwUUxRMFEQUORQqFBkUBhPzE+MT2BPQE8wTyBPDE7kTqROSE3cTWRM6EzkTIRMOEv8S8xLoEtwSzBK3EpwSehJSEiYR9hHEEZMRZBE5ERQQ9hDfEM4QxBC+EL0QvRC/EMIQxRDJEM0Q0BDQEMwQwRCvEJMQcBBIEBwP8g/MD6oPjA9xD1QPMg8JDtYOmg5YDhMN0A2TDV0NLw0IDOUMxAyjDIQMZQxKDDQMJgwfDB4MIgwoDC0MLgwsDCQMGQwKC/gL4wvMC7ILlAtzC00LJQr7Cs8KoQpyCkIKEAncCagJdAlDCRUI7gjMCK8Ilgh/CGgITggzCBQH9QfWB7kHnweHB3IHXgdLBzcHIgcOBvsG6gbeBtUG0AbOBs0GywbGBr8GtQaqBp4GkwaLBogGiAaMBpQGnAakBqsGrwayBrMGtAa1BrgGuwa+Br8Gvga4Bq4GngaLBnYGYQZNBjwGLAYeBg4F+gXhBcEFnAVyBUcFHQT4BNkEwQSwBKMEmgSSBIoEgARzBGQEUQQ5BBwD+wPUA6gDeQNJAxwC8wLSAroCrQKoAqwCtAK/AsoC0gLVAtECxQKxApUCcgJKAh0B7wHAAZIBZwFAARwA/QDiAMsAtwCnAJoAjwCFAHwAcQBkAFMAPwApAA//9f/b/8T/rv+a/4j/dv9j/0//Of8i/wn+8P7X/r7+pf6J/mv+SP4g/fT9xP2T/WT9O/0c/Qj9Av0K/R/9QP1q/Zn9yf32/hv+Nf5B/j7+LP4L/d/9q/1z/Tv9BvzV/Kj8f/xY/DP8Dfvn+8D7m/t4+1f7Ovsf+wb67vrU+rn6nPp++mD6RPor+hb6Bvn6+fL57vns+ez57Pnt+ez56fnl+eD52fnT+c/5zfnO+dL52Pnc+d752vnR+cH5rvmY+YX5dflq+WP5YPle+Vz5V/lR+Uv5RvlE+Uf5TPlU+Vn5WvlT+UX5MfkZ+QT48/jq+On47fj0+Pn49/ju+N34xvit+JT4gPhv+GP4WPhN+D/4Lvgb+An3+vfy9/H3+PgE+BL4Hvgm+Cf4IvgY+A34A/f99/r3/PgB+Ab4CvgM+Ar4BvgB9/z3+Pf49/r3//gG+A/4GPgh+Cj4Lfgv+C74KPgg+BT4CPf+9/f39vf9+Ar4Hvg2+FD4aPh9+Iv4lPiW+JX4kfiN+Ir4ifiL+JD4l/if+Kj4svi8+Mb40fjd+On49/kF+RT5Ifku+Tn5Q/lL+VP5Wvli+W35evmJ+Zz5svnI+d/59voM+h/6MvpC+lL6YPpt+nj6gfqI+oz6j/qR+pP6mPqg+q36vvrT+un6//sS+yH7LPsy+zT7M/sx+y77K/so+yb7I/sg+xv7FvsQ+wn7Afr4+u364PrQ+r/6rPqa+o36hvqI+pf6svrb+w/7TvuU++D8Lvx8/Mn9Ef1U/Y79v/3l/gD+EP4Y/hn+Fv4S/g/+Df4N/g/+EP4S/hP+Ff4Y/h/+Kv46/k/+aP6D/qD+vf7Z/vX/EP8q/0T/XP9y/4P/j/+W/5n/nP+i/6//xv/oABYATACIAMIA9wEjAUQBWAFiAWMBXQFUAUkBPwE5ATgBQAFTAXMBnwHXAhUCVAKNArgC0QLUAsACmAJhAiIB4QGmAXUBUQE5AS4BLQE0AUEBUwFoAX4BlgGtAcQB2AHrAfoCCAITAh0CJwIwAjoCQgJLAlECVwJbAl0CXgJeAl4CXQJdAlsCWgJZAlkCWQJcAmACZgJvAnoChwKVAqQCsgK/AsoC0wLaAt4C4QLjAucC6wLyAvsDBQMPAxcDHQMgAyADHQMaAxkDGQMeAyYDMAM7A0YDTgNUA1gDWgNcA14DYwNpA3EDeQN/A4MDhQODA38DeANxA2gDXwNUA0kDPQMxAyUDGgMQAwcC/gL2AusC3gLOAr0CqgKZAooCgQJ8AnwCfwKFAokCjQKOAo4CjAKJAocChQKDAoECfQJ2AmwCXwJQAkECMQIjAhYCDAICAfkB8AHoAd8B1gHOAcYBvgG1AawBoAGSAYEBbgFZAUQBMAEdAQ4BAQD4APMA8QDxAPQA9wD8AQEBBgELAQ8BEwEWARgBGQEaARkBGAEWARQBEgEQAQ4BDAEKAQgBBwEGAQYBBgEHAQgBCwENARABEwEXARsBIAEmAS0BNgE/AUkBUgFZAWABZwFtAXYBgAGOAZ8BsgHHAdsB7gH/Ag4CGgIkAi0CNgJAAkoCVQJgAmsCdgKBAowCmAKkArACvQLKAtYC4gLvAvwDCwMaAyoDOANFA04DVANVA1MDTgNKA0gDSgNQA1kDZgNyA34DiAONA48DjgOJA4IDegNwA2MDVQNEAzIDHQMIAvQC4gLTAsgCwQK9Ar0CwALEAsgCzQLRAtUC2gLeAuQC6gLwAvcC/QMCAwYDCAMIAwYDAgL8AvMC5QLSAroCnAJ5AlUCMgIVAgAB9gH3AgACDgIaAh8CGAICAdoBpAFkAR4A1wCWAFsAKf/+/9r/uP+Z/3r/XP8+/yD/Bf7q/tL+uv6i/or+cv5a/kL+K/4V/gD97P3Z/cb9sf2c/Yb9b/1W/T39Iv0F/OX8wvyc/HT8S/wi+/v71/u2+5j7e/td+z77G/r2+s36o/p5+lH6K/oK+e751vnE+bX5qfmf+ZX5i/l++XD5X/lL+Tb5IPkL+Pf45vjW+Mf4t/il+I74cvhQ+Cj3/ffP96H3dPdK9yP2/vbb9rr2mfZ49lf2NfYU9fH1z/Ws9Yf1YfU49Q303vSu9Hz0S/Qc8/DzyvOp847zd/Nk81PzQfMv8xnzAfLo8s3ysfKX8n3yZPJM8jXyHvIH8fHx3fHK8bzxsfGp8aTxovGg8Z7xm/GW8ZDxifGC8XvxdvFx8W7xbPFr8W3xcPF18Xzxh/GW8anxwfHb8fnyGPI38lTybfKC8pHynPKk8qvysvK78sjy2PLr8v/zFPMo8zrzSfNW82Hza/Nz83rzfvN/83zzdvNt82PzWfNS80/zUfNX82LzcfOC85XzqfO989Pz6vQC9Bv0M/RK9F/0cvSC9I/0m/Sl9LD0u/TI9Nb05vT39Qr1H/Uz9Ub1VvVj9Wz1b/Vw9XD1cfV49Yb1nfW+9ef2FvZI9nn2p/bQ9vT3Ffc191X3efei99L4B/hC+IH4wfkC+UP5g/nC+gL6RPqL+tf7Kft/+9j8MPyF/NP9G/1f/aH96P45/pn/Cf+JABQAogErAacCEAJjAqACzALpAv8DEgMkAzcDTANkA38DoQPKBAAEQgSSBOwFTQWuBgoGXAajBt8HEwdCB3AHnwfNB/sIJQhKCGoIhwijCMQI7QkgCVwJnAnbChIKPApXCmQKZwpoCmsKeAqRCrcK6AsdC1QLiQu5C+UMDQw1DF0MiAy1DOUNFw1KDX8Ntw30DjUOew7GDxQPYQ+sD/EQLxBlEJUQwBDnEQ4RNBFbEYMRqhHREfYSGRI5ElYSbxKDEpISnBKjEqcSqxKwErgSxBLTEuUS+hMPEyYTPxNbE3wToxPTFAoURxSHFMcVAhU2FWAVgBWWFaUVrxW4FcEVzRXcFe8WBRYcFjMWSBZZFmcWcBZ1FncWdxZ4FnsWghaOFp4WsxbKFuQW/RcVFysXPhdQF18XbRd6F4YXkBeZF6AXpherF7IXuhfHF9cX6xgDGB4YORhVGG8YhhiZGKkYthjBGMoY0hjaGOEY6RjwGPYY/BkBGQQZBxkIGQcZBRkDGP8Y/Bj4GPYY8xjxGPAY7hjrGOcY4RjaGNIYyhjBGLkYsBimGJgYhRhqGEcYHBfpF7EXeBdBFxAW6RbLFrcWqRagFpcWjBZ+FmwWVxZAFikWEhX7FeQVyhWtFYwVZRU8FRAU5xTCFKQUjRR+FHMUbBRlFFsUThQ9FCsUFxQGE/gT7hPoE+MT3xPZE84TvhOoE44TcRNUE2ETShMzExsTARLmEsoSrBKMEmoSSBIkEgAR2xG2EZERbRFLES0REhD9EO4Q5BDfEN4Q3xDhEOMQ5BDjEOAQ2hDQEMEQrBCREG4QRxAbD/APxg+hD4IPZg9MDzAPDw7mDrMOeA45DfkNvQ2JDV8NPw0mDREM/gzqDNIMuQygDIgMdAxkDFgMUAxJDEEMNwwqDBsMCgv3C+ILywuyC5QLcgtLCx8K7wq+CowKWgooCfcJxQmSCV8JLQj9CNEIqgiKCHAIWghHCDUIIQgKB/EH1ge6B58HhgdvB1sHSQc5BykHGQcJBvoG7QbhBtcGzwbJBsQGvwa6BrQGrgapBqMGnwadBp0GnwajBqgGrQawBrEGrwapBqEGlwaNBoQGfgZ7BnoGegZ5BncGcwZsBmMGWQZPBkUGOgYtBh0GBwXqBcYFmwVtBT0FEAToBMcErgSbBI4EhAR8BHUEbQRkBFoETQQ9BCkEDQPqA8ADjgNYAyIC7gLCAqACigKBAoICjAKaAqoCtgK9Ar0CtAKjAosCawJGAh4B8wHHAZsBbwFGAR4A+QDYALwApACSAIYAfgB4AHQAbgBkAFUAQQAoAAv/7f/R/7b/oP+N/3z/bf9d/0v/Nv8e/wL+5f7G/qX+hP5g/jn+EP3j/bP9g/1V/S39Dvz8/Pj9BP0e/UX9dP2n/dj+BP4l/jn+Pv4z/hr99P3D/Y39U/0a/OT8svyG/F78OfwW+/T70fut+4n7ZvtF+yb7C/rz+tz6xvqw+pf6fPpf+kH6I/oI+fH53fnP+cX5v/m9+b35v/nC+cP5wvm/+br5s/mr+aX5ofmi+af5r/m4+b/5wPm6+az5l/l/+Wb5UPk/+TP5LPko+SX5Ifkc+Rb5EfkP+RL5Gfki+Sv5Mfkw+Sj5GPkD+O742/jN+Mb4xPjE+MH4uvir+JT4efhb+D/4J/gW+Ar4A/f89/T36ffb98z3vfez9633rvez97r3wPfE98T3v/e496/3qPel96b3q/ey97v3wvfH98j3xvfC97z3tvew9633rPeu97L3uvfD98732vfk9+z38Pfw9+v35Pfb99P3zffM99H33Pfr9/74Efgj+DL4PvhG+Ev4TvhQ+FP4V/hd+GX4b/h7+If4lvil+Lb4yfjc+PD5A/kW+Sf5NflA+Un5T/lU+Vn5X/ln+XL5gPmR+aX5uPnM+d757vn8+gn6Ffoh+i36OfpG+lH6W/pj+mf6afpp+mn6a/pw+nn6hvqY+qz6wfrU+uX68fr4+vv6+/r4+vT68Prr+uf64/rf+tz62PrV+tP60frO+sv6xfq8+rH6pPqX+o36iPqL+pr6tvre+xT7VPuc++n8OPyG/NH9GP1Y/Y/9vv3k/gD+FP4f/iX+Jv4m/iT+I/4i/iH+If4g/iD+If4k/iv+N/5J/mD+e/6a/rv+2/77/xn/Nv9S/2z/hf+b/67/vf/J/9H/2f/i/+8AAwAeAEIAbACaAMsA+QEkAUoBaQGBAZIBnQGgAZwBkwGHAXsBcwFzAX8BmQHDAfoCOQJ6ArYC5wMHAxQDDgL3AtQCqAJ4AkgCGwHzAdABswGdAY0BgwGAAYMBigGWAaQBtAHFAdYB5wH5AgsCHQIuAj4CTQJaAmUCbgJ1AnsCfwKDAoUChQKEAoECfAJ3AnICbgJuAnACdQJ+AokClgKjArECvgLKAtYC4ALpAvEC+AMAAwgDEQMcAygDNANAA0oDUQNUA1QDUQNOA0wDTQNSA1sDZgNzA38DiAOOA5ADjwONA4sDiwOOA5QDmgOhA6YDqAOnA6IDmgOPA4IDcwNkA1UDRwM7AzIDKwMmAyEDHAMTAwYC9ALeAsQCqwKUAoMCegJ4AnwChAKOApUCmQKYApQCjAKEAnsCcwJsAmYCXwJXAk4CRAI6AjECKAIhAhoCEwILAgIB9wHrAeAB1QHMAcUBvwG5AbIBqgGeAY4BfQFpAVUBQgEyASUBHAEXARQBFQEYARwBIQEnAS0BMgE2ATkBOgE6ATkBNwE0ATMBMgEyATMBNgE5AT0BQAFBAUEBQAE9AToBOAE3ATkBPAFBAUcBTQFTAVkBXgFjAWkBbgF0AXsBgQGGAYoBjgGTAZkBogGwAcEB1QHsAgMCGAIqAjkCRQJPAlgCYgJsAngChAKRApwCpgKvArYCvQLEAssC0gLaAuMC7AL1AwADCwMXAyQDMAM8A0UDSwNPA08DTgNOA08DUgNYA2EDagNyA3gDegN5A3MDbANiA1gDTwNFAzsDMQMmAxoDDQL/AvIC5gLdAtcC1QLWAtoC4QLqAvMC/AMEAwsDEAMUAxYDGAMaAx0DIAMjAyYDKQMrAyoDKAMiAxgDCgL3At4CwQKiAoECYwJKAjoCMwI2AkACTgJcAmMCYAJOAi0B/QHCAX8BNwDwAKwAbAAy//z/zP+e/3T/Tf8o/wb+5f7H/qn+jP5w/lX+O/4i/gz9+P3l/dT9w/2x/Z/9i/12/WD9Sf0x/Rj8/fze/Lv8lPxq/D78Evvo+8H7nvt/+2L7Rvso+wb64vq5+o/6ZPo7+hb59fnZ+cL5r/mf+ZL5hvl6+W75YflU+UT5NPkj+RL5A/j1+Or44vjb+NP4yPi5+KP4hvhi+Dj4C/fc96/3hPdc9zf3FPby9tD2rvaM9mn2SPYm9gX15PXD9aH1ffVW9S71AvTV9Kb0d/RJ9Bzz8vPM86rzjPNx81jzQfMr8xPy+fLe8sHyo/KF8mjyTPIz8hryBPHv8dzxyvG68a3xofGX8Y/xiPGC8XzxdvFv8WbxXfFT8UnxPvE18S3xJ/Ek8SXxKfEx8TzxS/Fe8XPxi/Gk8cDx3fH68hbyLvJC8lLyXPJi8mXyZ/Jq8nHyevKI8pjyqvK88szy2/Lp8vbzA/MQ8x3zKvM08zvzPfM88zbzL/Mm8yDzHPMd8yPzLfM680vzXvNy84fznfOz88nz3vPx9AT0FPQk9DT0RPRU9Gb0d/SJ9Jv0rPS99M/04vT19Qj1G/Ur9Tb1PvVA9UD1P/VA9Uf1VvVv9ZH1uvXp9hn2SfZ39qL2y/bz9xz3Rvd096b32/gT+E34iPjD+P/5Ofl0+bD57/oy+nn6x/sa+2/7xfwY/GX8qvzp/ST9Yf2l/fX+Vv7I/0f/zwBXANoBUAG3Ag4CVgKUAsoC+gMmA0wDbAOFA5oDrAPCA+IEEARQBKEFAAVnBc8GMQaKBtcHGgdTB4cHtwfiCAkIKghFCFsIbgiDCKEIygkBCUUJkQndCiIKWgqACpUKnQqhCqYKtQrQCvoLLwtqC6cL4QwUDEEMaQyNDK8M0wz4DR8NSQ11DaMN1Q4MDkkOjA7UDx8Paw+1D/kQOBBwEKMQ0RD8ESYRUBF6EaURzhH3Eh4SQxJkEoESmBKoErEStBKzEq8SrRKuErUSwhLVEuwTBBMaEy4TPhNNE10TcROME7ET3xQUFE0UhhS7FOgVDBUoFT0VThVeFXEViBWlFcYV6hYPFjEWTxZnFngWgxaJFosWjRaQFpUWnxatFsAW1hbuFwcXHxc2F0sXXRdtF3wXiBeTF50XpxexF7wXyRfYF+oX/hgVGC0YRhheGHQYiBiaGKkYthjDGM8Y2hjmGPEY+xkEGQsZERkWGRsZIBkkGSkZLRkwGTEZLxksGSYZHxkZGRMZEBkPGQ8ZERkSGREZDRkGGPwY8RjkGNgYzhjEGLkYrBibGIIYYhg5GAoX1hehF24XQBcZFvkW4RbNFrwWrBabFokWdhZhFkwWNRYcFf8V3xW6FZIVZhU6FRAU7BTNFLYUphSaFJEUhxR7FGwUWhRGFDIUHxQQFAMT+hP0E+4T6BPgE9UTxxO2E6ITjhN3E4sTdxNdEz0TGBLwEsUSmhJwEkoSJxIJEewR0hG5EaARhRFrEVEROBEjERERAxD5EPMQ7hDrEOYQ3xDVEMgQuBCjEIsQbxBPECsQBA/dD7YPkw9zD1gPPw8nDwwO6w7CDpAOVw4ZDdwNpA10DU4NMw0hDRQNCQz9DO8M3gzMDLgMpQyTDIIMcAxeDEoMNAwcDAML6gvSC7kLnwuDC2MLPQsRCuEKrQp2CkAKCwnXCaUJdAlDCRII4gi1CIsIZghICC8IGwgKB/oH6QfXB8EHqgeSB3sHZAdRB0EHMwcoBx8HFgcOBwYG/QbzBukG3gbUBsoGwga8BrgGtga2BrcGuQa7Br0GvwbCBsUGyAbKBsoGxga+BrIGogaPBnsGaQZYBksGQAY5BjIGLAYmBiAGGQYTBg0GCAYBBfcF6AXSBbUFkgVpBT4FFATvBM8EtQSjBJYEjQSHBIQEgQR+BHsEdgRsBFwEQwQgA/IDuwN9AzwC/gLHApwCfgJuAmsCcgKAAo8CngKnAqkCowKVAn8CYwJCAh0B9QHMAaIBeAFOASUA/gDaALoAoACMAH4AdQBvAGsAZQBbAEwAOAAeAAD/4f/C/6b/jP93/2T/VP9E/zT/If8L/vH+0/6y/o7+Z/4+/hP95v26/ZD9av1K/TT9Kf0s/T39Wv2C/a/93/4J/iv+P/5E/jj+Hf32/cX9j/1Y/SH87vy//JT8bPxI/Cb8BPvi+7/7nPt5+1b7NfsW+vr64frK+rT6n/qI+m76U/o1+hb5+fnd+cT5sPmg+ZX5jfmJ+Yf5iPmK+Yz5jPmL+Yj5g/l9+Xf5dPl0+Xj5gPmJ+ZL5lvmT+Yj5dvle+UT5K/kV+QX4+/j0+O/46vjl+N/42vjY+Nr44vjs+Pj5APkE+P/48vjf+Mj4svif+JH4h/iB+Hn4bfhc+ET4JvgH9+r30vfA97b3sfev9633qfei95f3ivd993P3a/dn92X3Zfdk92L3YPde91z3Xfdi92n3c/d/94n3kfeW95b3k/eM94P3evdx92r3Zvdl92j3bvd394L3jvea96X3rPew96/3q/el9533lveS95L3lvef96z3u/fN99737ff7+Af4EfgZ+CD4J/gv+Df4QPhK+Ff4Zfh2+Ir4oPi5+NL47PkF+Rv5Lfk7+UX5S/lQ+VT5Wvlj+XD5gPmU+an5vvnQ+eD57Pn1+fz6AvoJ+hH6Gvoj+i36Nfo6+j36PPo4+jT6Mfow+jL6OfpE+lP6Y/p0+oP6j/qZ+p/6ovqi+qL6ofqg+p/6n/qf+p/6n/qf+p/6nvqe+pz6mfqU+o36g/p5+nD6avps+nf6j/q0+uj7J/tw+8D8Evxk/LT8/v1C/X/9s/3g/gP+Hv4x/j3+Qv5C/j/+O/41/jH+Lf4r/ir+LP4y/jv+Sf5c/nX+kv6y/tX++P8b/zv/Wv91/47/pf+5/8v/2//q//kACAAaAC4ARgBiAIMApgDLAPEBFwE7AV4BfwGcAbYBygHXAd0B2gHQAcIBswGmAaIBqAG6AdkCAwI0AmgCmQLGAuoDBAMTAxgDFAMHAvMC2AK5ApYCcQJLAigCBwHrAdMBwAGzAasBqQGtAbgByQHfAfkCFgIxAksCYQJyAn8CiQKSApkCoAKnAq0CsQKyAq8CqQKhApgCkQKNAo4CkwKcAqgCtQLCAs4C2ALiAusC9AL9AwcDEwMfAy0DPANLA1oDaAN1A38DhgOJA4gDhgODA4IDhAOJA5IDnQOpA7MDugO9A7wDuAOzA64DqwOrA64DswO4A7wDvAO5A7IDpgOYA4cDdgNlA1UDSQNAAzsDOAM4AzYDMgMoAxgDAALiAsECoQKFAnICaAJnAm0CdwKBAogCiQKFAnsCbgJhAlQCSQJAAjkCMwItAicCIgIeAhsCGQIYAhYCEgILAgAB8gHiAdMBxgG9AbYBswGxAa4BqQGhAZUBhwF4AWkBXAFSAUoBRAFAAT0BOwE7ATsBPQFBAUYBTQFTAVkBXgFhAWABXgFZAVQBTwFLAUkBSgFOAVQBWwFiAWcBawFtAW8BcAFyAXUBfAGEAY4BlwGgAagBrQGxAbQBtwG7AcABxgHLAdEB1gHbAeIB6gH2AgUCFgIqAj0CTwJeAmoCdAJ8AoMCjQKXAqQCsQK8AsYCzgLSAtUC1gLYAtwC4QLoAvAC+QMCAwwDFQMgAyoDNgNBA0wDVgNfA2YDbQNzA3oDgAOHA40DkQOSA5ADigOBA3YDawNhA1oDVQNSA1ADTwNNA0kDRAM+AzgDMQMrAyYDIwMiAyQDJwMrAzEDNwM8A0ADQgNCA0EDPwM+Az0DPQM/A0IDRgNJA0sDSwNHAz4DMgMhAwsC8gLWArkCnQKEAnICZgJhAmICaAJuAnACawJdAkMCHAHrAbEBcAErAOYAoQBeACD/5v+w/3//U/8q/wP+3/67/pf+dP5R/jD+Ev34/eH9z/2//bD9ov2T/YP9cf1e/Uv9N/0i/Qr88PzQ/Kv8gfxT/CL78vvF+5z7eftb+z/7I/sF+uP6vPqS+mX6OfoP+er5yfmu+Zf5g/lx+WH5UflB+TL5IfkR+QH48fji+Nb4zPjH+MX4xvjI+Mj4xPi5+Kb4ifhl+Dv4D/fi97b3jvdp90f3JvcF9uP2wfaf9n32XPY79hr1+fXW9bL1i/Vi9Tf1CvTe9LH0hPRZ9C/0B/Ph877znfN+82HzRvMr8w/y8vLS8rLykPJv8lDyMvIY8gHx7fHb8cvxvPGu8aDxk/GG8XrxbvFi8VfxS/E/8TPxJvEZ8Q3xAPD18Ovw5fDi8OTw6vD18QXxF/Es8ULxWvFx8YnxovG68dHx5fH38gXyDfIS8hPyE/IT8hXyG/Ik8jDyPvJM8lryZ/Jz8oDyjfKc8q3ywPLS8uLy7vL28vny9/Ly8u3y6fLn8uny7/L58wbzF/Mp8z3zUvNo83zzkPOj87TzxfPX8+rz/vQU9Cr0QfRW9Gn0efSI9JX0o/Sz9MX02PTr9P31C/UV9Rv1H/Uk9Sz1PPVT9XP1mvXH9fX2JfZT9n/2qvbW9wL3Mfdi95X3y/gC+Dn4cfio+N/5F/lO+Yf5wvoA+kL6ifrV+yT7dfvE/BD8VvyY/NX9E/1V/aH9+f5e/tD/Sv/IAEIAtQEfAX0B0gIgAmcCqQLjAxQDOgNUA2QDbwN8A5MDuwP6BE4EtgUqBaEGFAZ8BtUHHwddB5AHvAfiCAIIHggzCEUIVghqCIgIswjtCTYJiAncCioKbAqdCr0K0AreCuwLAgskC1MLiwvIDAQMOwxqDJAMrwzKDOQM/w0eDUANZw2SDcAN8w4rDmgOqg7wDzcPfg/DEAMQPRBzEKQQ0xEAES4RXBGLEboR6BIVEkASZxKIEqQStxLCEsUSwBK3EqsSohKfEqQSsRLHEuES/BMUEycTMxM5EzwTQRNME2ATfxOoE9gUDRRBFHIUnhTDFOUVAxUjFUUVaxWVFcIV7xYaFj8WXhZ1FoUWjxaVFpsWoRaqFrcWxxbbFvAXBxcdFzIXRhdYF2kXeBeFF5IXnRenF7EXuxfHF9QX5Rf5GBAYKxhHGGIYfRiUGKgYuBjGGNIY3hjrGPkZCBkXGSYZMhk7GUIZRhlJGUwZTxlVGVwZYxlqGW4ZbxlrGWUZWxlQGUcZPxk8GTsZPhlBGUMZQhk9GTIZIhkOGPkY5BjSGMIYtRipGJwYjBh1GFgYMxgIF9kXqBd4F0wXJBcCFuQWyxa1FqIWjxZ7FmUWTBYuFgsV4hW2FYkVXBUyFQ8U9BTgFNEUxxS9FLIUoxSQFHoUYxRMFDgUKBQcFBMUCxQEE/sT8RPmE9kTzBPAE7QTqRObE6gTlxN+E10TNhMKEtsSrBKAElcSMhISEfUR2hHAEacRjRFzEVoRQhEtERoRChD+EPMQ6hDfENMQwxCwEJkQfxBjEEUQJhAGD+cPyA+rD5APeA9hD0wPNw8fDwMO4A61DoMOSg4ODdMNnQ1uDUgNLA0XDQgM/AzwDOIM0wzBDK8MnAyJDHUMYAxJDDEMFgv5C9wLvwuiC4ULZwtGCyEK9wrHCpMKXAokCewJtQmBCU8JHwjwCMIIlghsCEUIJAgHB+8H2wfKB7kHqQeYB4UHcgdeB0wHPAcuByMHHAcXBxUHFQcVBxQHEQcMBwMG9wbpBtsGzgbFBsAGvgbBBsUGygbOBtIG1AbWBtkG3gbiBucG6QbnBuAG0ga+BqUGigZuBlMGOgYlBhEF/wXvBeEF1AXKBcMFvgW7BbkFtAWqBZsFhgVqBUsFKgUKBO0E1QTCBLMEqgSkBKIEogSjBKMEoQSZBIkEbwRJBBcD2wOYA1MDEALUAqMCfwJpAmACYgJrAncChAKOApICkAKGAnQCXAI+AhwB9wHPAacBfgFWAS8BCgDnAMgArQCWAIUAdwBtAGQAXABRAEMAMgAcAAL/5v/H/6j/if9s/1D/N/8g/wz++P7k/tD+uP6d/n/+XP43/hH97P3K/a79mv2O/Yz9k/2l/b793v4B/iL+Pf5P/lL+Rv4p/f39x/2K/U39Evzd/LD8i/xq/E38MfwU+/X71Puy+4/7bftL+yv7Dvry+tn6wfqq+pP6e/ph+kb6KPoK+ev5zfmy+Zr5hvl1+Wj5XvlW+VD5S/lJ+Un5SflK+Ur5SvlI+Ub5RflF+Uj5TflU+Vv5X/lf+Vf5SPkz+Rr5APjo+NX4x/i9+Lf4sviu+Kr4p/in+Kr4svi8+Mf40fjV+NH4xPiw+Jf4fPhi+E34Pfgx+Cb4GfgI9/P32fe996H3ifd392v3Zfdk92T3ZPdi9133VvdN90T3PPc19y/3Kvcl9yH3H/cd9x/3JPct9zn3R/dV92H3afds92r3Y/dY90r3Pfcx9yj3Ivch9yT3Kvcz9z33R/dR91r3YPdj92P3Yfdd91j3U/dP90/3U/dc92n3efeN96H3tPfG99X34ffq9/H39/f9+AP4C/gU+B74K/g6+Ez4Yvh6+Jb4s/jQ+Oz5BfkZ+Sn5NPk8+UT5TPlX+Wb5efmP+ab5vPnQ+eD57Pn0+fn5/foA+gT6CPoL+g76DvoN+gf6APn2+e355Pne+d354Pnn+fL6APoP+h36Kvo0+jz6QfpE+kf6SvpO+lP6WPpd+mH6ZPpl+mX6Y/pg+lz6WPpT+k36Rvo++jb6Mfoy+jv6UPpz+qT64/st+3/71fws/ID80P0a/V79m/3R/gD+Jv5C/lX+Xv5e/lj+Tv5C/jj+Mf4t/i7+NP4+/kz+Xf5z/oz+qf7I/ur/Df8v/1D/b/+K/6H/tv/I/9n/6f/7AA4AIwA8AFgAdwCYALoA3QEAASIBQgFiAYABnAG2Ac4B4QHvAfcB+AHzAeoB3wHUAcwByQHNAdgB6wIFAiQCRwJtApQCuwLgAwEDHQMyAz8DQwM/AzIDHwMFAuUCwQKYAm0CQQIWAe8B0AG8AbcBvwHVAfUCGwJBAmQCgAKVAqICqgKwArYCvQLGAs8C1gLaAtgC0wLKAsACuAK0ArYCvQLJAtcC5gLzAv4DBgMLAxADFgMeAykDNgNGA1cDaQN6A4sDmQOlA64DtAO3A7gDtwO2A7YDuAO9A8MDywPSA9gD2wPaA9YD0APJA8MDwAO/A8EDxAPGA8cDxQO/A7UDpwOYA4cDdgNnA1kDTgNGA0ADPQM6AzYDLgMhAw0C8wLUArICkwJ4AmYCXQJcAmECaAJtAm4CagJgAlICQwI0AigCHwIYAhQCEAINAgoCBwIFAgUCBgIHAgcCBAH8AfAB4QHQAcABswGrAagBpwGpAaoBqAGkAZwBkwGKAYEBegF1AXEBbQFpAWMBXQFWAVABTQFNAVEBWQFjAW8BegGEAYoBjAGJAYMBegFwAWcBYQFeAWABZgFuAXkBhAGOAZcBoAGoAbEBuwHHAdMB3wHpAfIB9wH7Af0B/wICAgcCDgIWAh4CJgIuAjUCPQJHAlECXQJqAncCggKLApMCmAKeAqUCrgK6AscC1ALfAucC6wLsAuoC5wLmAucC7AL0Av8DCwMXAyMDLgM5A0MDTQNYA2MDbwN7A4cDkwOgA6wDtwPBA8gDywPKA8QDvAOxA6cDngOaA5kDnQOjA6sDswO5A7wDvQO8A7gDsgOrA6MDmwOUA40DhwOCA38DfQN7A3oDdwN0A3ADbANoA2UDYwNkA2YDaANrA2wDawNnA2ADVQNHAzYDIgMMAvQC3ALEAq4CmgKKAnwCcgJnAlwCTgI8AiMCAwHcAa4BewFDAQkAzgCTAFsAJf/z/8b/m/9y/0n/If73/sv+n/5z/kr+I/4C/eX9zf25/ab9lf2D/XH9X/1N/Tv9Kv0Y/QT87fzR/K78hPxW/CX78/vE+5r7dPtT+zX7Fvr1+tD6p/p6+kz6Hvnz+cz5q/mP+Xf5Y/lQ+T75Lfkb+Qj49vjk+NL4w/i1+Kv4pfij+KX4qviv+LL4r/il+JH4dfhS+Cr4AffY97L3j/du90/3MPcR9vD2zvas9or2afZI9if2BPXf9bf1i/Vd9S30/vTP9KH0dvRN9Cb0APPd87rzmvN881/zQvMm8wny6fLI8qbygvJg8j/yIfIG8fDx3PHK8bvxq/Gc8Y3xfvFu8V/xT/E/8S/xHvEO8P7w7/Dh8NTwyPC+8LbwsfCv8LLwuvDG8Nbw6vEA8RfxLvFE8Vrxb/GD8ZXxpvG08b/xx/HL8cvxy/HK8crxzfHT8dzx5vHx8fvyBPIN8hfyIvIw8kHyVfJr8oDyk/Kj8q7ytPK28rbytfK18rfyu/LD8s3y2/Lr8v3zEPMk8zjzSvNa82rzefOK853zs/PM8+f0AvQc9DH0Q/RQ9Fr0ZPRw9H/0kvSn9L701fTp9Pr1CfUY9Sr1QPVd9YL1q/XY9gf2NPZf9oj2r/bX9wH3Lfdd95D3xff8+DP4a/ii+Nr5EflK+YP5vfn5+jf6d/q7+wD7SPuQ+9f8G/xc/Jv82v0c/WT9tf4Q/nX+4P9Q/8AALgCWAPkBVgGtAf0CRgKEArYC2QLuAvkDAAMMAyUDVQOeBAEEeAT8BYIGAAZvBssHEwdLB3cHnAe8B9kH9AgNCCQIOwhVCHgIpgjjCSwJfwnVCicKbgqmCs8K6Qr8Cw0LIgtAC2YLlQvHC/gMIwxIDGUMfQyTDKoMxQzmDQ0NPA1wDakN5g4nDmwOtA79D0cPjw/TEBIQSxB/EK8Q3REJETYRYxGSEcIR8hIhEk0SdRKXErESwxLLEsoSwRKyEqISlBKLEooSkhKiErcSzhLiEvES+hL+Ev8TARMIExcTMRNVE4ITthPtFCMUVxSIFLcU5RUUFUQVdxWrFd4WDhY3FlcWbxZ/FogWjhaUFpwWqha8FtMW7RcIFyIXORdMF1wXaBdyF3sXhBeOF5gXpBewF74XzBfcF+8YBBgcGDUYUBhsGIUYnRixGMIY0RjfGO4Y/hkQGSMZOBlMGV0Zaxl1GXsZfhl/GYEZhBmKGZIZnBmnGa8ZtRm2GbIZqRmeGZMZiBmAGXwZfBl+GYEZgRl9GXIZYBlHGSkZCBjqGM8YuxitGKMYnBiUGIYYcBhRGCkX+hfHF5MXYRc0Fw4W7hbUFr0WqRaTFnsWXhY6FhIV5RW2FYgVXhU7FR8VCxT+FPMU6RTcFMoUtBSaFH4UZRRQFEEUNxQyFC4UKRQiFBYUBxP2E+UT1hPLE8ITuxOzE7cTqROUE3gTVhMvEwYS3BKxEocSXRI1Eg0R5xHCEaARgBFkEUsRNhEkERQRBhD5EOsQ3BDKELYQnhCDEGYQRxApEAsP7w/WD8APrQ+dD48PgQ9zD2MPTw83DxgO8Q7EDpEOWg4iDewNuQ2NDWcNRw0tDRUM/wzoDNAMtgydDIMMagxSDDwMJgwPC/gL4AvHC6wLkAtzC1QLMgsMCuEKsgp+CkcKDQnUCZsJZAkvCPwIzAieCHIISAgiCAAH4gfIB7IHngeNB3wHbAdcB00HPgcxByUHGgcQBwkHBQcDBwUHCAcOBxQHGAcYBxMHCAb5BugG1gbIBr0GuQa5Br0GwwbJBs4G0wbXBt0G5AbtBvcHAQcIBwkHAwb2BuEGxgaoBogGZwZIBigGCgXtBdIFuQWjBZMFhwWABXwFegV2BXAFZgVXBUQFLgUWBP8E6QTWBMYEuASuBKcEowSgBJwElgSLBHkEXQQ3BAcDzgOQA1ADEgLaAqsChgJsAl0CVwJZAmECagJ0AnsCfgJ6Am8CXAJCAiIB/QHWAa4BhQFfAToBFwD2ANgAvQClAI8AfABsAF0AUQBFADoALQAfAA7/+P/d/73/mP9w/0f/IP79/uD+yv66/q7+pP6Y/on+d/5i/kv+Nv4l/hn+E/4U/hr+JP4w/j3+Sf5R/lT+T/5A/iX9/P3I/Yz9Sv0J/Mz8mfxw/FH8Ovwn/BT7//vl+8j7p/uF+2P7Q/sm+wv68vra+sP6q/qS+nj6XfpC+iX6B/no+cr5rvmU+Xz5aPlY+Un5Pfky+Sf5H/kY+RP5EfkS+RT5F/ka+Rv5HPkc+R75IPkk+Sn5LPks+Sb5GfkG+O740/i4+KH4j/iD+H34evh6+Hz4fviC+Ij4kPia+KT4rPiv+Kv4nviL+HD4U/g2+Bv4BPfy9+P31PfE97L3nPeE92z3VvdD9zX3Lfcp9yj3Kfcr9yz3Lfct9yv3Kfcl9x/3F/cO9wP2+fbx9uz27fbz9v33DPcb9yn3M/c39zT3Kvcb9wn29/bo9tz21vbW9tz25fbx9v73C/cX9yD3Jvcq9yv3Kfcl9x/3GvcW9xX3Gfci9zH3Rfdc93T3i/eg97H3vffF98v3z/fT99j33/fn9/H3/PgJ+Bj4Kfg++Fb4cviP+K74y/jl+Pr5DPkZ+SX5Mfk++U75Yfl3+Y75pPm5+cr52Pni+en57vnx+fL58vnv+en54PnU+cX5tfml+Zf5jfmG+YX5ifmS+Z75rfm8+cv51/ni+en57fnx+fT5+Pn9+gX6DfoW+h76I/ol+iP6H/oa+hT6D/oJ+gX6APn6+fX58vnz+fz6EPox+mH6n/rp+zz7k/vr/EH8k/zi/Sz9cf2y/ez+H/5G/mL+cf50/m3+YP5R/kP+Of41/jj+Qv5Q/mL+d/6N/qX+v/7b/vn/Gf84/1j/df+P/6f/vP/P/+H/8wAHAB0ANgBSAHEAkgC0ANcA+gEdAT4BXgF8AZgBsQHIAdsB6QH0AfoB/QH8AfoB+AH2AfYB+AH9AgQCDwIdAi8CRQJfAn4CoALDAuYDCAMnA0IDWQNsA3oDggOEA3wDaQNIAxoC4AKfAl0CIQHyAdcB0gHhAgICLAJaAoQCpQK8AskCzwLSAtUC2gLhAuoC8gL3AvgC9ALtAuUC4ALfAuQC7wL+Aw4DHgMrAzQDOQM8Az0DQANGA08DXANrA3wDjgOeA60DuQPEA80D0wPZA90D4APjA+YD6gPtA/ED9QP3A/gD9gPzA+4D5wPiA90D2gPYA9cD1gPUA9ADyAO/A7MDpgOaA40DgQN2A2sDXwNTA0cDOgMsAx4DDwL+AuoC1AK8AqUCjwJ+AnICbAJrAmwCbAJqAmMCVwJHAjUCJAIWAgwCBwIFAgUCBQIDAgEB/QH6AfgB+AH4AfcB8wHsAeEB0wHEAbYBqwGlAaQBpgGpAawBrAGqAaYBoAGbAZcBlQGTAZIBjwGKAYMBeQFuAWQBXQFZAVoBYAFpAXYBhAGRAZ0BpgGqAakBowGZAYwBfwF1AW8BbwF0AX8BjAGcAasBugHIAdUB4gHvAf0CCgIWAiACJwIsAi8CMwI2AjwCRAJOAlkCYwJtAnYCfgKGAo0ClQKcAqQCqgKwArQCuQK+AsUCzwLbAukC9QL/AwUDBgMEAv8C+wL4AvoDAAMKAxkDKQM5A0gDVgNhA2sDdAN7A4MDiwOUA54DqgO4A8cD1wPmA/ID+gP8A/sD9QPuA+cD4wPkA+oD9QQCBBAEHgQpBDEENQQ2BDQEMAQpBCAEFgQKA/0D8APkA9oD0QPJA8MDvAO2A68DpwOgA5oDlQORA48DjgOMA4oDhgN/A3cDbQNiA1YDSAM6AyoDGgMIAvQC3wLIArECmAJ/AmUCSgItAhAB8QHRAa8BjAFoAUMBHgD5ANQAsACMAGcAQgAa/+//wf+P/1v/Jf7w/rz+jf5h/jr+Fv32/db9uP2a/X39YP1G/S79Gf0F/PD82/zB/KT8gPxZ/C78AfvV+6v7hPtf+zz7GPry+sj6nPps+jz6Dvni+bz5nPmC+W35W/lL+Tv5KvkY+QT48Pjc+Mj4tvio+J34l/iW+Jf4mvib+Jn4kfiB+Gn4S/go+AP33/e89533gPdl90r3LfcN9uz2yfam9oT2YvZB9h/1/PXW9az1f/VP9R707PS89I30YPQ19Azz5PO+85vze/Ne80PzKvMR8vjy3PK+8p3ye/JZ8jnyG/H/8efx0fG88ajxlfGC8XDxXfFL8TnxKPEW8QPw8fDf8M3wvfCv8KPwmfCR8Ivwh/CF8IfwjPCV8KLws/DH8N3w9PEL8SHxNfFI8VnxafF38YPxjfGT8ZjxmvGb8Z3xoPGk8arxsfG48b/xxfHL8dHx2fHk8fLyA/IX8ivyP/JR8l/yavJy8njyfPKA8oXyi/KU8p7yq/K78szy3vLw8wDzD/Ma8yTzLfM380bzWfNy84/zsPPP8+z0A/QT9B/0J/Qw9Dz0TfRj9H70m/S49NX08PUM9Sj1SPVt9Zf1xfX09iT2UPZ59p72wfbk9wj3L/db94z3wPf2+C74Zvif+Nj5EvlO+Yr5x/oE+kL6gfrA+wD7P/t/+777+vw2/HD8qfzk/SL9Zf2w/gL+XP6+/yT/jv/6AGUAzwEzAY8B3wIfAk4CawJ4An4CggKRArMC7wNIA7sEQwTUBWQF5wZVBq0G7gccB0AHXgd7B5kHuQfbB/wIHghBCGgImAjSCRgJaAm8Cg8KWgqYCsYK5Qr3CwELCgsWCygLQAtcC3wLmwu4C9IL7QwIDCgMTgx8DLEM7g0wDXcNwQ4NDlwOqw78D0sPmg/kECkQaRChENQRAhEsEVURfxGpEdUSARIuElgSfxKgErkSyRLQEs0SwRKvEpoShRJyEmQSXBJaEl0SYxJrEnQSfBKEEo0SmxKuEsoS7xMdE1MTjxPNFA0UShSGFMAU+RUxFWkVoBXVFgYWLxZQFmcWdBZ5FnoWexZ/FooWnRa3FtgW+xcdFzoXUhdiF2wXcRdzF3QXdxd9F4gXlhepF78X2Rf1GBMYMhhQGG0YiBifGLMYxBjSGN8Y7Bj6GQsZHhkzGUkZXxl0GYUZkxmcGaEZpBmmGagZrBmzGbwZyBnVGeIZ7Rn1GfgZ9hnvGeUZ2RnNGcMZvBm5GbgZtxm0GawZnBmEGWMZPRkVGO8Yzxi4GKgYnhiYGI8YgRhrGEoYIRfxF74XjRdfFzcXFRb5FuAWyBavFpQWdBZPFicV/RXSFakVhRVmFU0VORUpFRkVBhTwFNYUuBSZFHwUZBRTFEoURxRIFEgURRQ9FC8UHBQHE/MT4hPVE80TxhPAE8QTthOjE4wTcBNQEy4TCBLgErQShRJUEiIR8BHCEZgRdRFaEUQRNBEmERkRChD4EOMQyhCvEJEQcxBVEDcQGxABD+oP1g/FD7gPrg+mD58PmA+OD38Paw9PDy0PBQ7XDqYOdA5DDhQN6A3BDZwNeg1YDTYNEwzuDMcMoQx7DFcMNQwYC/4L5wvRC74LqguVC38LZgtKCyoLBQrbCq0KeQpCCggJzAmRCVYJHAjkCK8IfAhNCCEH+QfWB7cHnQeGB3MHYQdSB0QHNwcsByIHGgcTBwwHBQb+BvYG8AbsBuwG7wb3BwEHDAcTBxQHDwcCBu8G2QbEBrMGpwaiBqMGqQawBrkGwQbJBtIG3AbnBvMHAAcLBxMHFQcQBwUG8wbdBsIGpAaEBmEGPQYXBfAFywWoBYoFcAVdBU4FRAU7BTMFKwUhBRYFCQT6BOsE2gTIBLYEpASSBIEEcgRkBFYESAQ3BCMECAPoA8EDlgNmAzYDCALcArYClQJ7AmgCXQJXAlgCXQJmAm4CdQJ3AnMCZgJRAjQCEQHqAcABlgFtAUcBIwECAOMAxgCrAJIAegBlAFEAQQAzACkAIAAYAA4AAP/q/83/pv94/0f/Fv7q/sj+sf6n/qf+rv63/r/+w/7D/r/+uv60/rD+rP6p/qX+nf6R/oH+a/5S/jT+Ef3p/bv9h/1N/Q/80fyY/Gb8P/wj/BD8A/v4++n71vu8+537e/tZ+zr7HvsG+vH63frI+rH6mfp++mP6R/or+g/58/nW+br5n/mF+W75W/lK+T35Mfkl+Rr5D/kF+Pz49vjy+PH48vjz+PP48/jy+PL48/j1+Pn4/fj++Pr48Pje+MX4qPiJ+G74WPhK+EP4RPhJ+FH4Wvhj+Gz4dPh8+IP4iPiK+Ib4fPhs+FX4Ofgb9/734vfJ97P3oPeO93v3afdW90P3Mvcj9xj3EPcM9wz3D/cU9xv3Ivcp9y/3Mfcw9yn3HPcK9vX23vbJ9rn2r/at9rL2v/bO9t726vbx9u/25vbX9sP2r/ae9pH2jPaO9pj2pva59s324fbz9wL3DPcT9xT3EfcJ9v728vbn9t/23Pbh9u73A/ce9zv3WPdy94j3mPej96r3r/e097r3wvfK99T33ffn9/L3/vgO+CH4OPhS+G/4jPin+L/40/jk+PL5APkO+R/5MvlG+Vz5cvmG+Zf5p/mz+b75xfnL+c35y/nE+bj5p/mT+X35aPlV+Ub5PPk4+Tr5QPlL+Vj5Z/l3+Yb5k/md+aX5qfmt+a/5svm3+b35xvnP+df53Pnf+d752/nV+dD5y/nG+cP5v/m7+bf5tPm1+b750fny+iL6YPqq+vz7U/ur/AH8Vfym/PT9QP2J/c3+Cf47/mD+d/6A/n3+c/5l/ln+UP5P/lT+X/5v/oP+l/6u/sX+3f73/xP/MP9N/2r/hv+g/7j/zv/k//kADwAmAD4AWQB0AJAArADJAOUBAgEeATsBWQF2AZIBrgHGAdwB7QH7AgUCDAIRAhYCGwIhAigCMQI8AkkCWAJpAn0CkwKrAsQC3QL1AwoDHAMtAz0DTgNjA3wDlgOvA8EDxwO6A5gDYgMbAs0CgAJAAhMB/wIEAh4CRgJ0AqACxALdAusC8QLzAvQC9gL7AwIDCQMOAxADDwMMAwoDCgMOAxcDIwMzA0IDUANaA2ADYgNjA2MDZANoA28DeQOFA5EDnQOpA7QDvQPHA9ED3APoA/MD/gQHBA4EFAQYBBkEGgQZBBcEFQQRBA4ECgQGBAID/QP4A/ID6gPgA9QDxgO4A6sDnwOXA5EDiwOGA30DcQNgA0oDMgMYAv8C6QLWAscCugKvAqYCngKXApICjQKKAoYCfwJ2AmgCVQJAAioCFwIHAf0B+QH5AfsB/QH+Af0B+gH2AfMB8QHvAe4B6wHlAd0B0gHFAboBsQGsAaoBrAGvAbEBswGyAbEBrwGtAawBrAGtAa0BqwGmAaABlwGOAYYBfgF5AXUBdAF1AXkBfwGIAZIBngGoAbABswGwAagBnQGQAYUBfwF/AYYBkwGkAbYByAHZAegB9wIEAhICIAIuAjoCRAJMAlECVgJbAmECaQJyAn0CiQKUAp4CpgKtArQCugLAAscCzQLTAtkC4ALnAvAC+wMGAxEDGwMhAyQDIwMfAxoDFgMVAxkDIgMwA0EDUwNlA3cDhgOSA5sDogOmA6kDqwOtA7EDuAPDA9ED4gP1BAYEEwQbBB8EHQQZBBUEEwQVBBwEKAQ3BEYEVgRjBG0EdAR5BHsEewR5BHQEbQRkBFkETAQ/BDMEJwQdBBMECgQBA/cD7APhA9YDzQPFA74DuAOzA64DqAOhA5kDkAOHA34DdQNsA2MDWgNPA0IDMgMfAwcC7ALOAq4CiwJpAkgCKQIMAfMB3QHKAbkBqgGbAYsBeQFkAUkBJwD/ANAAmwBiACf/7P+z/3z/Sf8Y/un+u/6M/lz+K/35/cj9l/1q/T/9Gfz2/Nb8uPyb/H/8YfxD/CP8Afve+7r7lftw+0n7IPr2+sn6mfpp+jj6Cvng+bz5n/mI+Xf5afld+U/5P/kr+RP4+fjf+Mb4sPif+JP4jPiK+In4iPiD+Hr4avhT+Db4Fvf099P3tfeZ94D3aPdQ9zX3GPb39tP2rvaJ9mX2Q/Yh9gD13fW49ZH1Z/U79Q303vSv9ID0UPQf8+/zwPOU823zSvMu8xbzA/Lx8t/yy/Ky8pfyePJY8jjyGvH98eLxyPGv8Zfxf/Fn8VDxOfEk8RDw/fDp8Nbww/Cw8J/wj/CB8HbwbvBo8GPwXvBb8FnwWPBc8GPwb/B/8JLwqPC+8NTw6fD88Q/xIPEx8UHxT/Fd8WjxcvF58X/xhPGJ8Y3xkvGX8ZzxofGm8avxsfG48cLxz/Hc8evx+vIJ8hXyIfIr8jTyPPJG8lDyXPJp8njyifKc8rDyxPLW8uXy8PL28vny+fL68v/zC/Mg8zzzX/OD86XzwvPX8+Xz7fP08/z0CvQf9Dv0XvSE9Kv00vT49R71RPVt9Zn1x/X39ib2U/Z89qH2xPbl9wj3LvdY94f3uvfw+Cf4X/iY+NH5DPlI+Yb5xvoH+kn6i/rN+w77TfuK+8X7/vw0/Gf8mfzJ/Pj9Kv1f/Zn93P4o/n/+4f9M/74AMgCjAQsBYwGoAdYB8QH8AgECCQIfAkwClgL+A4AEEwStBUAFxAYwBoMGvgbmBwQHHwc7B1sHgQeqB9MH/AgkCE0IewiwCO8JOQmLCeAKMQp4CrAK1QroCu0K6ArfCtkK2ArfCu8LBQshC0ILaAuTC8ML+ww6DH8Myg0aDWsNvg4QDmMOtQ8HD1oPrA/8EEkQkBDREQoRPRFpEZIRuBHfEgYSLxJYEn8SohK/EtUS4RLjEtsSyxKzEpYSdRJTEjISExH6EeYR2hHVEdkR5BH4EhMSNRJeEo8SxhMFE0gTkBPaFCQUbBSxFPIVLxVoFZ0VzhX6Fh8WPBZQFlsWXRZZFlIWThZQFlsWcBaOFrMW2hcAFyAXOBdIF1AXUxdSF1IXVBdcF2oXfxecF74X5RgOGDkYYhiHGKgYwhjWGOUY8Rj6GQQZDxkdGS4ZQRlVGWkZfBmLGZgZohmqGa8ZtBm5Gb8ZxRnOGdkZ5hn0GgMaEhoeGigaLBorGiQaGBoIGfgZ6RneGdcZ1RnTGc8Zxhm0GZkZdBlKGR0Y9BjQGLUYohiUGIkYexhoGE4YLBgFF9oXrxeFF18XPRcdFv8W4RbDFqQWgxZiFkEWIBX/FeAVwRWlFYoVbxVVFTkVHBT9FN0UvBSdFIIUbhRgFFkUVxRWFFQUTxREFDUUIhQOE/wT7RPhE9kT0xPNE9ITwhOtE5QTeBNaEzgTFBLrEr4SjBJYEiIR7hG+EZYRdhFeEU0RQBEzESQRDxD0ENQQsBCKEGYQRRAoEBAP/Q/sD98P0w/ID78Ptw+xD6oPow+ZD4oPdA9XDzMPCg7cDq4OgA5VDiwOBg3iDb0Nlw1vDUQNFgznDLcMiQxdDDUMEgvzC9gLwQusC5kLhQtwC1kLQAsiCwAK2QqtCnwKRwoOCdIJlAlWCRcI2gifCGYIMQf/B9MHrAeLB24HVwdDBzMHJQcZBxAHCQcEBwEG/wb+BvsG9wbwBucG3gbXBtUG1wbgBu4G/gcMBxUHFQcLBvkG4QbGBqwGmQaMBogGiwaTBp4Gqga1Br8GyQbTBt0G5gbvBvcG/Qb/Bv4G+AbuBt8GywayBpMGcAZHBhwF7wXEBZsFdgVWBTsFJAURBQEE8wToBN0E1ATLBMEEtASkBJAEeQReBEIEJwQMA/QD3QPJA7QDngOHA20DUgM2AxkC/ALhAsgCsAKbAokCewJwAmsCagJuAnQCewJ/An8CeAJqAlMCNQIQAegBvAGPAWQBOgETAO4AzQCuAJIAdwBeAEcAMgAhABMACQAC//v/8v/j/8z/q/+B/1D/H/7z/tH+vf66/sX+2/73/xL/Kf85/0L/Qv89/zL/I/8O/vP+0v6q/n7+Tv4c/ez9u/2L/Vr9Jvzw/Ln8g/xS/Cj8Cfv0++b73fvT+8X7sfuV+3P7Ufsv+xL6+vrn+tf6x/q2+qH6ifpv+lT6Ofof+gX56/nR+bb5m/mB+Wn5VflF+Tn5Lvkk+Rn5DPj++O/44fjV+Mz4xfjA+Lz4ufi3+Lf4uPi8+ML4yfjO+M74yPi5+KH4hPhk+EX4LPgb+BT4Ffgd+Cn4NvhB+Er4UPhU+Ff4WPhX+FT4TPg/+Cz4FPf599v3vPef94T3bPdW90T3NPcl9xr3EPcJ9wX3A/cE9wj3D/cX9yH3LPc29z33P/c89zH3HvcE9uT2w/ai9of2c/Zp9mn2cPZ99oz2mfai9qP2nfaR9oH2cPZh9lf2VPZY9mX2d/aN9qb2v/bV9uj29fb89vz29fbn9tT2vvao9pb2i/aK9pP2p/bD9uX3CPcq90j3YPdz94H3i/eT95v3oveq97D3tve898P3y/fX9+b3+vgR+Cv4Rvhf+Hb4i/id+K34vfjN+N/48/kI+R35MflE+Vb5Zfl0+YH5jPmT+Zf5lfmN+X/5bPlV+T75KPkW+Qn5AvkB+QT5C/kV+SD5Lfk6+Uj5Vflh+Wv5cvl3+Xv5ffmA+YT5ifmP+ZT5mPma+Zr5mPmV+ZH5jvmL+Yn5hvmB+X35evl7+YT5mPm6+ev6K/p3+sv7I/t8+9T8Kvx8/M39G/1n/a797v4j/kz+Z/52/nv+ef50/nD+b/50/n7+jP6c/rD+xP7b/vP/Df8q/0j/Z/+G/6L/vf/U/+r//wAUACoAQgBbAHYAkQCrAMMA2QDtAP8BDwEgATIBRwFeAXgBlAGxAc8B6gIDAhgCKQI3AkECSQJQAlgCYQJuAn4CkgKrAsgC5wMIAyYDPwNRA1wDXgNbA1cDVgNcA20DhgOlA8MD2QPfA88DqQNvAygC3gKaAmcCSQJCAlACbQKSArcC2ALwAwADCQMNAw8DEQMUAxcDHAMgAyMDJwMrAy8DNgM/A0kDVQNgA2oDcgN4A3wDfgOAA4IDhQOKA48DlAOaA54DogOmA6sDsgO8A8kD2gPsBAAEEgQhBC0ENAQ3BDYENAQyBDAELgQtBCwEKgQnBCIEHAQTBAcD+QPpA9cDxQOzA6QDmAORA40DiwOIA4IDdQNhA0cDKAMJAuwC1ALEAroCtgK1ArUCswKvAqgCoQKYAo8ChQJ5AmoCWAJCAioCEwH/AfEB6AHlAeYB6gHtAfAB8AHvAe4B7AHrAeoB6QHlAd8B1wHNAcIBuQGzAbABsAGxAbQBuAG7Ab0BwAHCAcQBxwHIAcgBxgHCAb0BuQG0AbABrAGnAaEBmgGRAYgBgQF/AYEBiQGUAaEBrAGzAbQBrgGmAZwBlQGUAZkBpQG2AcoB3gHxAgMCEgIhAjACPwJNAlsCZwJwAnYCewJ/AoMCiQKRApoCpQKxArsCxQLNAtUC3ALjAusC9AL+AwgDEwMeAykDMwM7A0IDRQNGA0MDPgM5AzUDNAM3Az8DSwNaA2sDfQOOA54DrAO4A8EDyAPLA8wDywPKA8kDzAPSA90D7AP+BBAEHwQqBDAEMAQuBCoEKAQpBC8EOQRFBFMEYARsBHYEfgSFBIwEkgSXBJoEmwSZBJUEjgSFBHsEcgRoBF8EVgRLBEAEMwQlBBcECQP+A/UD7gPrA+kD5wPmA+MD3wPZA9EDxwO9A7IDqAOdA5IDhQN3A2UDUQM5Ax0DAALiAsQCqAKOAngCZgJZAlACSgJGAkECOgIsAhYB9wHPAZ0BZgEqAO8AtwCDAFMAJv/6/8z/mv9j/yj+5/6j/l3+Fv3Q/Yz9S/0O/Nb8o/x3/FP8NPwa/AT77vvX+737n/t++1j7MPsE+tb6p/p4+kn6Hvn2+dX5u/mo+Zr5j/mD+XT5YPlF+ST5APjb+Lj4m/iG+Hj4cPhs+Gr4Zvhd+E/4Ofgf+AH34vfE96j3j/d592P3TPcz9xX29PbQ9qn2gvZd9jj2FvX09dP1sfWO9Wr1RPUe9Pb0zfSi9HT0Q/QP89nzo/Nw80TzH/MD8u/y4fLW8svyvfKq8pLydfJV8jTyFPH18djxvPGg8YXxavFO8TPxGPD+8Obwz/C58KXwkfB+8G3wXvBR8EfwP/A58DTwL/Aq8CbwI/Ai8CXwLfA48EjwWvBu8ILwlvCo8LvwzfDg8PTxCfEd8TDxQPFO8VnxYfFn8WzxcfF28XvxgfGH8Y7xlPGb8aPxq/Gz8bzxxPHN8dXx3vHn8fLx/fIL8hvyLvJC8lnycvKM8qfywfLZ8uvy9/L98vvy9PLt8ujy6vL28wzzKvNN82/zjvOk87LzuPO888HzzPPh8//0J/RW9Ib0t/Tl9RD1OPVg9Yf1sfXb9gf2MvZb9oL2qPbN9vP3HfdK93v3r/fm+B/4V/iP+Mb4//k5+Xb5tvn5+j/6hvrN+xT7WPua+9n8FvxO/IT8tfzi/Qv9MP1T/Xf9of3T/hH+Xv67/yP/kwAEAG4AyQERAUQBZQF5AYkBnwHGAgUCXwLVA2ED+gSWBSkFqwYVBmYGngbEBt8G9gcPBy4HUwd9B6oH1Qf/CCcIUAh/CLcI+wlKCaAJ+QpMCpEKxArgCucK3grKCrQKogqZCp0KrgrLCvMLIwtbC5oL4AwsDH8M1g0wDYsN5Q48Do8O4A8vD34PzRAbEGkQtBD7ETwRdxGrEdoSBRIvElgSgBKmEskS5xL9EwsTDhMIEvgS3xK/EpgSbBI7EgoR2RGuEYsRdRFsEXQRiRGsEdkSDRJHEoUSxhMME1YTpBP1FEYUlhTiFScVZRWZFcQV6BYDFhgWJBYqFigWIhYYFg8WCRYLFhYWKxZJFm4WlRa7FtwW9hcJFxUXHRckFysXNhdHF14XfBehF8sX+hgpGFkYhBiqGMoY4hjzGQAZCxkVGSEZLxlAGVMZZRl3GYcZkxmdGaUZqxmyGboZwxnNGdcZ4hntGfkaBBoQGhwaKRo1Gj8aRhpHGkIaNxonGhQaARnyGecZ4RnfGd4Z2hnPGbkZmhlyGUQZFhjsGMkYrRiZGIoYexhrGFUYOxgcF/kX0xetF4YXXxc3Fw8W5xbAFpwWexZfFkYWMBYbFgUV7BXQFbAVjRVqFUYVIxUCFOQUyRSwFJwUihR9FHIUaRRgFFYUSxQ9FC8UHxQRFAUT+xP0E+4T5xPfE9gTwhOnE4gTZxNDEx0S9RLKEpsSaxI5EgcR1xGtEYkRbBFXEUYROREqERYQ/RDcELYQjRBkEEAQIRAKD/oP7w/nD+EP2Q/RD8gPwA+5D7IPqw+hD5IPew9dDzYPCQ7ZDqcOeA5LDiMN/A3XDbANhg1XDSYM8wy/DI0MXww2DBML9gvdC8cLswufC4oLcwtZCz0LHQr6CtMKqQp6CkgKEgnZCZwJXQkdCNwInQhgCCYH8QfBB5cHcgdTBzkHIwcRBwQG+QbyBu0G6gbqBusG7QbuBuwG6QbiBtoG0gbMBsoGzgbYBugG+gcMBxgHHAcWBwUG7AbOBq8GlAaBBnYGdAZ6BoQGkAacBqcGrwa0BrgGvAa/BsMGxwbNBtEG1QbWBtMGyga7BqMGhQZfBjYGCQXcBbEFigVmBUYFKQUQBPoE5gTWBMgEvQSyBKYEmASGBG4EUQQwBAwD6QPHA6kDjgN4A2UDUwNDAzMDIgMSAwMC9QLnAtsCzgLCArYCqQKdApMCjAKHAoUChQKGAoYCgwJ8Am4CWQI9AhoB8QHDAZMBYgEzAQYA3QC4AJcAeQBeAEQALAAWAAT/9v/r/+T/3f/U/8P/q/+J/2D/Nf8M/u7+3v7f/vD/D/80/1n/eP+N/5X/kf+B/2f/Rf8c/u3+uv6D/kv+E/3f/a39f/1T/Sb89/zF/JD8XPwr/AL74/vN+8D7t/ut+5/7ivtt+0z7KvsL+vD63PrN+sL6t/qp+pf6gvpq+lH6N/oe+gX57PnR+bb5mvl++WX5T/k9+S/5I/kW+Qj49vji+Mz4tvii+JL4hfh8+Hf4dPh0+Hb4eviB+Iv4lfie+KP4ofiX+IT4avhN+C/4FfgC9/f39vf8+AX4EPga+CH4Jfgn+CX4Ivge+Bj4DvgB9/D32vfA96T3hvdo9033NPcf9w73Afb39vH27vbt9u/28/b49v/3CPcS9xz3J/cw9zb3N/cx9yP3DPbv9sv2pfaB9mD2R/Y29i/2L/Y19j/2SPZQ9lP2UvZN9kX2PPY09i/2L/Y19kD2UPZk9nn2jvag9q/2uPa69rT2p/aU9nz2YvZJ9jX2KPYl9i32QPZc9n/2pPbK9u33Dfcn9z33Tvda92T3a/dv93H3cvd093f3fPeG95X3qPe/99j38vgK+CL4N/hL+F/4cviG+Jz4sfjH+Nz47/kB+RL5Ifkw+T75SvlU+Vn5WPlS+UT5M/ke+Qn49/jq+OL44Pji+Of47fj1+P35BvkQ+Rv5KPk1+UH5S/lT+Vj5Wvlb+Vv5XPlc+V35Xvle+V75Xflc+Vz5XPlc+Vv5WflW+VP5UflU+V75dPmZ+cz6Dvpb+rH7C/tm+8D8F/xs/L39C/1T/ZX9z/3//iT+Pf5O/lr+Yv5q/nT+gv6T/qb+u/7Q/uf+/v8Y/zX/Vv94/5z/vv/e//kADwAhADAAPgBOAGAAdgCQAKwAyADjAPwBEAEgASwBNQE8AUMBTQFZAWsBggGdAbwB3QH+AhwCNgJKAlkCYwJqAm8CdAJ+AowCoAK8At4DBAMsA1IDcwOLA5gDmgOTA4YDegNzA3UDgQOXA7ADxwPVA9QDwgOeA20DNgL/AtICsgKiAqICrQLBAtgC7wMCAxIDHQMkAykDLAMuAzADMgM1AzkDQANJA1QDYANsA3YDfgOFA4kDjAOQA5QDmgOhA6kDsQO4A70DwAPAA74DuwO4A7gDvAPFA9QD5wP+BBUEKgQ7BEcETARNBEkERARABDwEOwQ6BDoEOQQ2BDAEKQQfBBMEBwP4A+kD2APIA7gDqgOeA5YDjwOIA34DbwNbA0EDIwMGAuwC2ALMAsgCxwLIAsYCwAK1AqYClgKIAnwCdAJuAmYCWwJLAjUCHAIDAe0B3AHUAdIB1gHcAeIB5gHoAegB5gHkAeMB4QHfAdoB1AHMAcIBuQGyAa4BrgGwAbYBvQHEAcwB0gHYAd0B4AHgAd8B3AHXAdMBzwHNAcsBywHJAcUBvQGxAaQBlwGMAYcBiQGQAZsBqAGyAbgBuQG2AbEBrgGvAbUBwgHUAegB/gISAiYCNwJIAlgCaAJ3AoUCkQKZAp8CogKjAqUCqQKvArgCwwLQAtwC6ALzAvwDBQMOAxcDIgMvAz0DSwNYA2QDbQNyA3MDcANqA2MDXANWA1QDVgNcA2YDcgOAA44DmwOmA7EDuwPEA80D1QPbA+AD4wPlA+YD6QPuA/YEAgQPBB0EKgQzBDgEOQQ4BDYENgQ4BD4ERgRRBFsEZQRtBHQEegSABIgEkQSbBKYErwS2BLsEvQS7BLgEswStBKcEoASXBIwEfgRuBF0ETAQ9BDIELAQrBC8ENgQ/BEcETARMBEYEOwQsBBkEBgPyA+ADzwPAA7EDogOSA4EDbwNbA0UDLwMYAwEC7ALaAssCvwK3ArECqQKeAowCcAJLAh0B6gG0AYABUAEnAQIA4QC+AJgAawA1//f/sv9m/xb+wv5r/hP9uf1g/Qv8vfx6/ET8Gvv9++r73PvP+8D7rPuS+3L7Tvsl+vr6zvqi+nf6T/or+g359vnl+dj5zPm++av5j/lq+T75Dfjd+LD4ivhu+Fv4UPhJ+EP4Ovgt+Bn4Affm98r3r/eX94L3bvdb90f3LvcR9u/2yfah9nn2U/Yu9gv16vXJ9aj1hfVi9T71GvT39NT0sPSK9GD0MfP988XzjfNX8yjzA/Lo8tfyzPLG8r/ytPKj8ozybvJL8ifyAvHf8b7xn/GC8WXxSPEq8Qzw7fDP8LLwl/B/8GjwVPBC8DHwI/AW8AzwA+/97/fv8+/w7+3v7O/t7+/v9e//8AvwGfAq8DvwTfBf8HHwhfCa8LHwyfDh8PjxDPEd8SrxNPE78UDxRfFL8VLxWvFj8W3xdfF98YTxifGO8ZLxlfGZ8Z3xo/Gr8bXxwvHS8ebx/fIY8jbyV/J68p7ywPLg8vvzDfMX8xfzD/MD8vjy8fLy8v3zEvMs80nzZPN484TzivON85HznPOy89Pz//Qz9Gr0ofTT9QD1J/VJ9Wr1i/Wu9dL1+fYh9kr2c/ad9sj29/cp9173l/fS+A34SPiB+Ln48fkp+WT5ovnk+ir6c/q9+wf7UfuZ+9/8I/xm/KX84f0Y/Uf9bf2M/ab9vf3Y/fz+Lf5t/rv/Ff9z/88AIwBqAKMA0AD4ASABUwGWAe4CXALeA24EBgSdBSkFpAYKBlgGjwa0BswG3gbxBwoHKQdRB30HqgfXCAIIKwhXCIgIxAkLCV4JuAoRCmMKpArQCuQK4grRCrgKnwqOCooKkwqrCtALAAs4C3kLwgwUDG4Mzg0zDZoN/w5fDroPDg9cD6cP8BA5EIIQzBEVEVwRnxHfEhoSURKEErMS3hMDEyITOBNFE0kTQhMzExoS+hLTEqQScBI2EfsRwhGQEWsRVhFUEWYRiRG4EfESLRJqEqYS5BMkE2gTsxQEFFgUrRT8FUMVfRWqFcoV3RXnFeoV6BXiFdkV0BXHFcAVvxXEFdMV6hYJFi0WUxZ5FpoWtxbPFuQW9hcJFx0XNhdUF3YXnBfHF/QYIhhOGHkYnhi+GNcY6xj6GQcZFBkiGTQZSBldGXMZhhmWGaMZrBmzGbkZwBnJGdMZ4BntGfsaBxoSGhsaIxoqGjEaNxo+GkQaSBpJGkYaPRowGiAaDhn+GfIZ6RnkGeAZ2xnPGbwZnxl6GU8ZIhj4GNQYuBijGJQYhxh6GGoYVRg7GB0X+hfTF6gXeRdHFxMW4BavFoUWYxZJFjYWKBYaFggV8RXTFa4VhhVdFTYVFBT4FOIU0BTBFLMUpBSVFIYUdRRlFFUURRQ4FCwUIhQbFBQUDxQKFAIT+RPrE8sTrhONE2kTQRMXEuoSvRKOEl8SMBIBEdQRqRGBEV4RQBEnERQRBBD2EOUQ0RC3EJkQeBBXEDgQHhALD/4P9Q/uD+gP4Q/ZD9EPyw/GD8MPwA+5D6sPkw9vD0EPCg7ODpIOWQ4mDfgNzg2mDX0NUQ0iDO4MugyGDFYMKwwIC+wL1gvFC7YLqAuXC4MLagtMCykLAgrZCqwKfgpNChoJ5AmrCW4JLwjuCK0IbggyB/sHyQedB3YHVAc4Bx8HCwb8BvEG6gbmBuYG5wbpBuoG6wbpBuYG4AbaBtMGzgbLBswG0QbcBuoG+gcJBxQHGAcTBwQG7QbQBrAGkwZ7BmsGZAZmBm0GeAaDBosGkQaTBpIGjwaLBokGiQaMBpEGmAaeBqIGoQaZBokGcgZTBi8GCAXiBbwFmgV8BWEFSAUxBRsFBgTzBOAEzwS+BKwElwR/BGMEQgQeA/kD1QOzA5QDewNlA1IDQQMyAyMDFQMIAv0C9QLwAu0C6gLnAuIC2gLPAsECsgKjApYCiwKDAn4CegJ2AnACZQJTAjoCGAHvAb8BjAFXASMA8wDIAKEAgABiAEYALAAU////7f/g/9f/0f/J/73/qf+N/2n/Qf8c/v/+8f70/wj/Kf9R/3f/lf+m/6b/lf91/0r/GP7h/qn+cf46/gf91/2r/YP9XP01/Qr83Pyo/HH8OvwH+9z7u/ul+5f7jvuF+3n7ZvtM+y77D/ry+tv6yfq++rX6rvqk+pb6hPpu+lb6PPoi+gj57fnR+bT5lvl5+V35Rfkv+Rv5CPj1+N/4xvir+I/4dfhf+E74Qvg9+Dz4P/hD+En4UPhY+GH4avhz+Hj4efhz+Gf4VPg8+CL4Cvf19+f33/fe9+L36Pfv9/b3+vf79/r39vfv9+X32PfH97L3mvd/92T3SPcu9xf3A/bz9ub23fbW9tL20PbR9tL21vba9uD26Pbw9vr3A/cM9xH3EvcN9wH27PbQ9q/2ivZm9kT2J/YR9gH1+PX09fX1+PX99gL2BvYJ9gv2C/YM9gz2DvYS9hn2IvYt9jj2Q/ZK9k72TPZE9jf2JfYQ9fr15PXT9cf1wvXG9dH15fX/9h72P/Zi9oT2pPbC9tz28fcC9w73FfcX9xf3FPcS9xP3F/ch9y/3Q/da93T3jvep98L32/fz+Az4JPg9+FX4bfiD+Jj4qvi7+Mr42Pjm+PT5AvkN+RT5FvkS+Qn4+vjq+Nn4zPjD+MD4wvjI+NH42vjj+Ov48/j8+Qf5Evkf+Sv5Nvk++UL5Q/lB+T35Ovk3+TX5NPk1+Tb5N/k6+T35QPlE+Uj5SvlM+U35T/lV+WL5efmc+c36CvpT+qT6+vtT+6z8A/xX/Kf88v01/XH9ov3I/eX9+v4J/hf+Jv46/lL+bv6O/q/+0f7y/xP/NP9X/33/pf/O//YAGgA4AE8AXwBpAG8AdQB9AIoAnACzAM8A7AEKASUBPgFSAWEBbAFzAXgBfAGCAYoBlwGoAb4B2AHzAg4CJwI8Ak0CWQJjAmsCdAJ/Ao4CoQK5AtYC9wMcA0EDZAODA5sDqQOvA64DqAOgA5sDmwOiA60DuQPEA8kDxQO3A6ADgwNjA0QDKgMXAwsDBgMHAw4DFwMjAy8DOwNGA00DUwNVA1YDVgNYA1wDZANvA3wDigOWA58DpQOpA6wDrwO0A70DyAPVA+ID7gP4A/4EAAP/A/wD9wP0A/MD9QP8BAcEFwQpBDwETQRaBGEEYgReBFcETgRHBEIEPwQ9BDsEOAQzBC0EJQQfBBkEFAQQBAsEAwP4A+oD2APFA7MDoQOQA38DbANXAz8DJQMNAvkC6wLjAuAC3gLcAtQCxQKwApkCggJwAmYCYwJlAmcCZQJbAkgCLgIQAfQB3QHQAcsBzgHVAdwB4AHhAd4B2QHTAc8BzAHLAckBxgHBAbsBtAGwAa0BrwG0Ab0BxwHRAdoB4gHoAesB7AHqAecB4gHdAdcB0gHOAcwBywHKAckBxQHAAbkBsgGrAacBpwGrAbEBuAG/AcMBxQHFAcQBxQHJAdEB3QHsAf4CEQIkAjcCSAJaAmwCfQKNApwCqAKwArUCuAK5AroCvgLEAs4C2wLqAvoDCQMWAyIDLQM3A0MDUANeA20DfQOLA5YDnQOfA50DlwOOA4YDfwN7A3wDgQOJA5QDngOoA64DswO1A7gDuwPAA8kD0wPfA+wD+AQDBAwEFAQbBCIEKgQyBDkEPwREBEYERwRHBEgETARSBFsEZQRwBHoEgQSFBIcEiASJBI0ElASeBKwEuwTJBNYE4ATnBOoE6wTrBOkE5QTfBNYEyAS3BKIEjAR3BGUEWgRXBFwEaAR4BIkElwSfBKAElwSIBHIEWAQ9BCMEDAP3A+QD1QPHA7sDrwOiA5MDgQNsA1MDNwMbAwAC6QLWAscCvAKxAqICjgJxAk0CIwH2AcwBpQGFAWkBUAE2ARcA8ADAAIgARwAB/7T/Yv8K/qv+Rv3e/XX9Efy3/G38NfwO+/b76fvi+9r7zfu7+6H7gftc+zT7Cvrg+rf6kfpv+lP6PPoq+hv6DPn5+eD5vvmS+V/5KPjw+L74k/hx+Ff4RPg0+CX4E/f99+T3yPes95L3e/do91n3Svc69yb3DPbs9sf2nvZ09kz2JvYD9eP1w/Wj9YH1XfU59RP08PTN9K30jPRp9EL0FvPk863zdvNC8xTy8PLW8sbyvfK48rPyqvKa8oLyYvI88hLx5vG88ZTxb/FO8S7xD/Dw8NDwsPCP8HDwU/A58CLwDu/87+3v3u/Q78Tvue+x76zvqe+q76zvsO+277vvwu/K79Tv4O/t7/7wEPAk8DrwUvBr8IXwn/C58NDw5fD18QLxC/EQ8RXxGfEe8SbxL/E58UTxTvFW8VzxYPFi8WPxY/Fk8WbxafFv8XjxhPGU8ajxwfHd8f/yJPJM8nbyoPLH8unzA/MU8xrzF/MN8wHy9vLw8vPy/vMQ8yXzO/NM81jzX/Nk82vzePOO87Dz3PQQ9Ef0fPSu9Nn0/fUd9Tr1VvV19Zb1u/Xi9gv2NvZk9pP2xfb79zX3cfew9+/4Lvhs+Kj44/ke+Vr5mPnZ+h36Y/qr+vT7PfuG+8/8Gvxl/LH8/P1C/YH9tv3f/fv+D/4f/jH+Sf5t/pz+1/8Y/1z/nv/cABYAUACNANMBJwGKAf4CgAMLA5sEKgSyBS4FmwX2Bj0GcgaVBqsGugbIBtwG9wcdB0wHgAe1B+gIFghCCG8IoAjbCSEJcQnICh0KaQqlCswK3QrbCs0KuQqmCpsKmwqnCr4K4QsOC0YLiAvWDC8Mkw0ADXIN5A5TDroPGA9tD7sQAxBJEI8Q1hEgEWsRtxIBEkkSixLIEv0TKRNME2UTdBN5E3UTaRNVEzkTFRLpErUSehI6EfkRvRGLEWoRXRFnEYURsxHtEioSaBKhEtcTDBNDE4ATxRQTFGYUuRUGFUgVexWdFa8VsxWvFaYVmxWRFYkVhBWDFYUVjRWbFa8VyxXsFhAWNxZcFn4Wnha6FtUW8BcNFy0XUBd3F6EXzBf5GCUYTxh3GJsYuhjTGOcY9xkEGRIZIBkyGUUZXBlyGYgZmxmrGbcZwRnKGdIZ3BnnGfMaABoMGhcaIRooGi4aMxo3GjoaPBo+Gj8aPxo9GjgaMRonGhoaDBn+GfAZ5BnaGc8ZwxmzGZ0ZgRleGTgZERjtGM4YtximGJoYkRiHGHoYaBhSGDUYFBfsF78XjBdUFxoW4BaqFnwWWBY+FiwWHhYQFf4V5BXCFZkVbBU/FRcU9xTeFMwUvxS1FKsUnhSQFH8UbhRdFE4UQhQ5FDMULhQqFCUUHhQVFAgT+BPjE68TkBNuE0cTHRLuErwSiRJWEiQR9BHGEZoRbhFEER0Q+RDcEMYQuBCwEK0QqhCkEJoQihB1EF4QRxAyEB8QDxABD/YP6w/jD90P2g/bD9wP3A/WD8UPpw96Dz8O+w6yDmoOJw3sDboNjg1nDUENGAzsDL0MjAxbDC4MBgvmC80LuwuvC6ULmwuOC30LZQtGCyEK9wrJCpgKZgozCf8JyQmQCVQJFQjUCJMIVAgZB+MHsweJB2UHRQcqBxMHAQb0BuwG6QbrBu8G9Qb5BvoG+AbyBusG4wbbBtUG0gbRBtQG2QbhBuoG9Ab9BwMHBQcABvQG4AbHBqsGjgZ2BmQGWgZYBl0GZQZtBnQGeAZ3BnIGagZhBlgGUgZOBk4GUQZVBlkGWwZYBk8GPwYpBg4F8AXTBbcFngWIBXYFZQVUBUMFMQUeBQkE8wTcBMQEqgSOBG8ETwQuBA0D7QPPA7QDmwOFA3EDXQNLAzkDKQMcAxIDDQMLAwwDDwMQAw8DCAL9AusC1gK9AqUCjwJ9Am8CZQJeAlgCUAJEAjICGAH2Ac0BnQFqATcBBADWAKwAhgBkAEYAKwAT////7v/h/9j/0f/H/7n/o/+E/1//Nv8Q/vX+6f7v/wf/K/9V/3r/lP+c/5D/cf9D/wv+zv6S/lj+JP30/cn9ov19/Vj9M/0L/N78rfx4/EH8C/vb+7P7lvuC+3b7b/to+177Tvs4+x77A/rp+tP6wvq1+qz6pPqa+o36ffpo+lH6N/oc+gD55PnH+an5jPlv+VL5N/kc+QL45/jK+K34jfhv+FL4Ofgm+Br4FPgV+Br4Ivgq+DL4OPg9+EH4RPhG+Ef4RvhC+Dv4L/gf+Az39/fj99H3w/e697b3t/e798L3yPfO99H3z/fI97z3q/eU93r3XvdB9yb3DPb39uT21vbK9sH2uva19rH2rvas9qz2rfav9rP2uPa/9sf20fba9uH25fbj9tv2y/az9pb2dPZR9i32DfXw9dj1xfW49bD1rfWv9bX1vfXG9c/11vXb9d713vXe9d/14PXh9eP14/Xg9dn1zvW99ar1lPWA9W71YvVb9Vv1YvVu9X/1lPWr9cT13vX59hX2MvZO9mj2gPaT9qH2qvau9q32q/ao9qj2rPa09sL21Pbr9wT3H/c791j3dfeS97D3zffq+AX4Hvg1+Er4W/hr+Hr4iPiX+Kb4tfjC+M340/jT+M74w/i1+Kb4mviS+I/4k/ic+Kj4tfjD+ND43fjp+Pb5A/kQ+Rv5Jfkr+S35LPkp+ST5IPke+R75H/ki+Sf5LPkz+Tr5Q/lM+VX5Xvlm+W35dfl9+Yr5nvm5+eD6EPpL+o761/sk+3T7xfwV/GL8qfzq/SH9Tf1u/YX9lf2g/az9vP3R/e/+FP4//m3+nv7P/wH/M/9l/5j/y//8ACgATwBuAIQAkgCZAJ4AoQCnALIAwgDYAPEBDgErAUgBYwF8AZMBpgG1AcEBygHQAdUB2gHhAekB8wH/Ag0CGwIqAjkCSgJbAm4CgwKYAq4CwwLXAusC/gMSAykDQgNeA3sDlgOuA8ADywPQA88DzAPIA8UDxAPGA8gDygPJA8YDvwOzA6UDlQOEA3MDZANYA1ADTwNSA1oDZANwA3sDggOHA4kDigOMA5ADlwOhA64DuwPGA88D1gPcA+ID6QPzA/8EDQQbBCgENAQ8BEIERQRHBEkESQRKBEsETAROBFIEWARgBGgEcAR1BHYEcgRrBGEEVgRNBEYEQQQ9BDkENAQtBCUEHgQZBBgEGwQfBCMEJAQfBBID/wPmA8sDsAOXA4EDawNWA0EDLQMZAwkC/QL2AvMC8ALqAt8CzQK2ApsCgwJyAmgCaAJsAnACbwJlAlACMgIQAfAB1gHHAcIBxQHMAdIB0wHPAccBvQGzAa4BrAGtAbEBtAG1AbUBswGyAbQBuAHAAcoB1QHeAeUB6QHpAegB5QHiAd8B3AHYAdMBzgHIAcMBvgG6AbkBuQG7Ab8BwwHJAc4B0gHWAdkB2gHbAdoB2QHZAdkB2wHfAeUB7QH2AgECDAIZAicCNwJIAloCbAJ/Ao8CnAKmAq0CsgK1ArkCvwLHAtMC4gLzAwUDFgMnAzYDRQNTA2EDcQOBA5EDoQOuA7cDvAO8A7kDswOsA6YDpAOlA6sDtAO+A8gD0APUA9UD0wPPA80DzQPRA9sD6gP8BBAEJAQ2BEUEUQRaBGAEZARnBGgEaQRqBGoEagRsBHEEeASDBJEEoASvBLsExATIBMcEwgS8BLYEtAS3BL4EygTYBOYE8wT9BQUFCQULBQwFCwUIBQIE+AToBNMEugSfBIYEcgRlBGIEZwRzBIMEkgSdBKIEnwSVBIUEcARZBEAEKAQRA/sD5wPUA8QDtQOnA5gDhwNxA1cDOAMWAvMC0gK3AqICkwKJAn8CcgJgAkcCKAIGAeMBwwGoAY8BeQFgAUMBIAD0AMIAigBOAA3/yP97/yf+yP5i/fb9i/0n/ND8ivxY/Df8I/wY/BD8Bfv1+9/7wvue+3f7Tfsh+vb6zvqo+oj6bPpU+j/6KfoQ+fH5y/mf+W35OfkG+Nb4q/iG+Gb4Svgv+BP39ffW97X3lfd39133R/c39yn3HfcP9vz24/bE9p/2dvZL9iL1+/XY9bf1mPV59Vj1NvUS9O/0zfSt9I30bvRM9CXz+vPJ85TzX/Ms8wHy3vLG8rfysPKs8qjyn/KQ8nfyVvIs8fzxyvGX8WbxOvES8O7wzfCt8I3wbfBM8C3wD+/0793vyO+276Xvle+F73bvau9g71zvXe9j72vvdu+A74nvke+Y75/vqO+178bv2+/08A/wLPBJ8GXwgPCZ8K/wwvDR8Nzw4/Do8Ovw7vDx8Pbw/vEG8Q/xGPEg8SXxJ/Eo8SfxJvEm8SfxKvEw8TjxQ/FS8WTxevGV8bTx1/H+8ijyUfJ68p7yvPLS8uDy5PLi8t3y1vLT8tXy3fLr8vvzDPMb8yfzMPM480LzUfNo84fzr/Pb9Av0OfRk9Iv0rvTN9Oz1C/Ut9VH1ePWh9c31+vYp9lv2kPbI9wP3QveE98f4C/hP+JL41fkY+Vv5nvnh+iT6Z/qq+uz7L/ty+7n8BPxU/Kj8//1V/aX97P4l/k/+a/5+/ov+mP6p/sL+4v8I/zH/Xf+L/7//+wBFAKABDgGMAhYCpwM4A8IEQwS3BR0FdgXBBf4GLQZQBmgGegaKBp4GuwbjBxcHUweSB88IBgg1CF4IhwizCOgJKAlzCcUKFgpfCpoKwwrZCuAK2wrPCsQKvQq+CscK3Ar8CygLYQuoC/0MXwzMDUANtg4rDpsPAg9hD7UQAxBLEJIQ2hEkEXIRwhISEmASqRLpEyATShNqE38TihONE4kTfhNrE1ATKhL6Er8SfBI0Ee8RsRGDEWoRaRGAEawR5xIpEm0SrRLnExwTThOCE7wT/BRDFI0U1BUUFUYVZxV5FX0VdhVrFV8VVRVRFVIVWBViFXAVgRWXFbEVzxXxFhYWOxZgFoQWphbGFuUXBRcmF0oXcBeYF8IX7BgXGEEYahiQGLMY0RjqGP8ZDxkcGSgZNBlCGVMZZBl3GYoZmxmqGbgZxhnTGeAZ7Rn5GgQaDBoTGhcaHBohGiYaLRozGjkaPRo9GjoaNBosGiEaFhoJGfwZ7xngGdIZwxm0GaQZkxmAGWoZTxkyGRIY8xjXGL8YrRigGJcYjxiGGHoYaRhTGDgYFxfxF8YXlRdfFycW8Ba8Fo8WaxZPFjsWKRYXFf8V3xW3FYkVWRUpFP4U2xTAFKwUnRSRFIcUexRvFGMUVxRNFEUUPxQ8FDkUNhQwFCgUHBQME/kT4xPKE5ETdRNXEzMTCRLaEqcScRI7EgYR1BGkEXQRRREVEOgQvxCeEIgQfxCDEJAQohCyEL0QvxC3EKYQjxB0EFoQQRArEBgQCQ/9D/YP8g/xD+8P6Q/bD8IPmQ9iDx4O0g6DDjcN8g22DYMNWQ0zDQ8M6gzDDJsMcQxIDCEL/gvhC8oLuAurC6ILmAuNC30LZgtICyIK9grECo8KWgojCe0JtQl7CT8I/wi+CHwIPAgAB8oHmgdxB00HLwcVBv8G7wbkBt8G4QboBvIG/AcDBwYHBAb+BvUG6wbkBt4G3AbcBt4G4QblBukG7AbwBvIG8gbuBuUG1Qa/BqUGiwZyBl8GUwZPBlAGVgZcBmAGYQZeBlYGSwY+BjAGJAYaBhMGEAYOBg8GDwYNBgkGAAXyBeEFzgW6BacFlgWIBXwFcAVlBVgFSAU3BSIFCwT0BNoEwASmBIsEcARVBDkEHwQEA+oD0QO4A58DiANyA2ADUQNHA0EDQANBA0QDRgNFA0ADNQMkAw0C8gLUArUCmAJ/AmkCVwJHAjoCLAIdAgoB8wHXAbUBjwFlATkBDADgALYAjwBrAEsALwAXAAP/9P/p/+D/1//K/7b/mf90/0n/Hf74/t/+2f7m/wT/Lf9Y/3z/j/+O/3f/Tf8U/tX+lP5X/iD97/3E/Zz9dv1P/Sb8+vzL/Jn8Zvwz/AP71vuw+5P7fftv+2b7X/tY+077QPst+xf6/vrm+s/6u/qp+pr6i/p9+m36W/pH+jH6Gfn++eP5yPms+ZH5dvlb+T/5IvkF+Ob4xfik+IL4YvhF+Cv4FvgH9/73+vf8+AH4CPgP+BX4Gfga+Bj4FfgQ+Az4B/gD9/73+ffw9+X31vfE97H3n/eP94T3f/d/94X3jPeV95r3m/eW94r3dvdd90H3IvcE9un20fa89qz2oPaV9o32hvaA9nz2efZ49nj2evZ+9oP2ifaQ9pj2ovar9rT2u/a99rn2rfab9oH2Y/ZB9h31+vXY9br1n/WK9Xv1cfVu9XH1efWC9Yz1k/WX9Zj1lvWS9Y31ifWG9YL1ffV19Wn1WfVF9S/1GvUH9Pr08/Tz9Pn1BfUV9Sf1O/VP9WT1efWP9ab1vvXX9e/2BvYZ9ij2MfY39jn2OfY59jr2PvZH9lP2ZPZ49pD2q/bJ9uj3Cfcr90z3bfeM96n3xPfc9/L4BvgY+Cn4OvhK+Fr4a/h6+Ij4kviW+JT4i/h9+G34XvhS+Ev4TPhT+GD4cfiD+Jb4qPi6+Mv43Pjs+Pn5BPkM+Q/5EPkP+Q75DvkQ+RT5G/kk+S75OPlD+U75W/lp+Xf5hvmU+aH5rPm2+cH5zvnf+fj6F/o/+m/6pvri+yL7Zvuq++78L/xq/J38xvzk/Pj9A/0I/Q39FP0j/Tv9Xv2L/cH9/v5A/oT+yP8M/07/jv/KAAAAMABYAHgAkQCkALMAwQDQAOIA9gENAScBQQFcAXcBkQGqAcMB2wHyAgcCGAIlAi4CMwI0AjQCMgIwAjECNAI7AkgCWgJyApACsALRAvADCgMdAykDLwMyAzcDQANQA2cDhQOmA8YD4QP0A/4EAAP7A/MD6wPkA+ED4QPjA+cD6gPrA+gD4APUA8QDsgOhA5IDiAOFA4YDjQOXA6IDrAO0A7sDwAPFA8wD1QPgA+sD9wQCBAwEFgQfBCkENQRCBFAEXARnBG4EdAR3BHsEfwSEBIsEkgSYBJsEmwSYBJQEjwSLBIkEiASHBIQEfgR1BGoEXgRUBEwERgRDBEAEPAQ1BC0EJQQfBBsEGwQdBCAEHwQZBAwD9wPeA8IDpwOPA3sDaQNZA0kDOQMpAxoDDgMGAwEC/QL4Au8C4ALNArcCogKRAoUCfwJ8AngCbQJZAjsCFwHyAdABuAGrAagBrQG0AbkBtwGwAaQBlwGMAYcBiAGPAZkBowGrAa8BsgG0AbcBvAHFAc8B2AHgAeQB4wHgAdsB1gHTAdMB1AHWAdgB1wHTAcwBxAG8AbYBtQG5AcIBzwHeAewB9wH/AgICAQH9AfkB9QHyAfIB8wH2AfgB+gH8Af4CAQIGAg8CGgIpAjoCTAJeAm8CfgKKApQCnAKjAqoCswK9AsoC2gLrAv4DEgMlAzkDTANgA3MDhgOZA6oDuAPDA8kDywPJA8QDvwO7A7oDvgPFA9AD3APoA/ID+AP7A/sD+QP4A/kD/wQJBBgELARBBFcEagR7BIcEjwSTBJYEmASaBJ0EoQSmBK0EtAS8BMYE0gThBPMFCAUdBTAFPwVGBUYFPgUwBR8FDQT+BPUE8QTzBPgE/QUCBQUFBgUGBQUFBAUEBQIE/gT2BOcE0wS7BKEEiARzBGQEXARaBFwEXwRhBGEEXQRVBEoEPAQtBB0ECwP3A+IDywO0A50DhwN0A2EDTQM3Ax0C/wLdAroClwJ5AmICUQJHAkACOgIwAiECDAHzAdkBvgGlAY0BdgFcAT0BGADtAL0AigBWACD/6P+s/2n/Hf7H/mn+B/2o/VD9BPzI/Jv8e/xk/FP8Qvwu/BX79/vU+6z7gPtS+yT69/rM+qT6fvpc+jv6Gvn4+dT5rfmE+Vr5MfkI+OD4uviV+HD4S/gl+AD32ve195H3b/dQ9zT3HPcI9vj26fbb9sn2s/aX9nX2TfYj9ff1zvWn9YT1ZPVH9Sr1DfTw9NP0t/Sb9H70X/Q89BTz5/O184DzTfMd8vXy1vLB8rTyrPKn8qHylvKE8mnyRPIY8eTxrfF28UHxEfDm8MDwnfB98F3wPPAb7/nv2e+876Hviu9172LvT+897y3vIO8Y7xbvG+8l7zPvQ+9R713vZe9s73Lveu+H75jvr+/J7+bwAvAe8DfwTfBi8HTwhPCS8J7wp/Ct8LHws/C18Ljwu/DB8MfwzvDU8Njw2/Dd8N7w3vDg8OXw6/Dz8P3xCvEY8SnxPPFS8WzxifGo8cnx6vIK8ijyQ/JY8mnydfJ98oTyivKT8p7yrPK78svy2/Lo8vLy/PMG8xPzJPM881nze/Og88Xz6vQM9C30TPRs9I70svTY9QD1KvVV9YH1r/Xg9hP2S/aG9sT3BvdL95L32/gm+HP4wvkR+V/5rPn2+jz6fvq7+vX7Lvto+6b76/w5/JD87f1O/a3+BP5O/oj+s/7Q/uP+8P79/wv/G/8t/0H/WP90/5v/0AAaAHwA9QGBAhkCswNHA80EQQSiBPQFOAVyBaQFzgXyBg8GJwY+BlgGeQakBtsHGgdeB6EH3ggRCDsIXwiDCKsI3gkcCWUJtQoGClIKkQrCCuIK8wr3CvQK7wrsCvAK/gsZC0MLegvADBMMcAzVDT8NrA4aDoUO6w9LD6UP+BBHEJIQ3REpEXcRxhIWEmMSqxLqEx8TSBNnE3wTixOTE5UTkBOCE2cTPhMGEsISdhIoEeERqRGGEX4RkRG7EfkSQhKQEtsTIBNdE5QTxxP4FCsUYBSWFMkU9xUbFTIVPhU+FTcVLRUkFSAVIRUqFTkVTBViFXkVkRWrFcYV4xYEFiYWSxZwFpUWuhbeFwIXJBdHF2oXjRexF9UX+RgfGEYYbRiUGLoY3Rj6GRIZJRkyGTsZQxlLGVUZYBluGX0ZjRmdGa4ZvxnQGd8Z7Rn3Gf0aABoBGgEaAxoIGhIaHxotGjoaQRpCGjsaLRoaGgQZ7hnaGcgZtxmoGZoZixl8GWwZWxlIGTQZHhkGGO0Y1Ri/GK0YnxiUGIwYhBh7GG4YXRhHGCwYDRfpF8EXlRdmFzYXBhbaFrIWkRZ1FlwWRBYpFgkV4RW0FYIVThUdFPAUyhSsFJMUgBRxFGUUWhRSFEsURRRBFD8UPBQ5FDUULhQkFBYUBBPwE9oTwhOqE3ITWxNCEyQTABLWEqYSdBJAEgwR2RGnEXURQhEOENwQrxCNEHgQdBCAEJgQtxDWEO8Q/RD+EPMQ3xDFEKkQjhB0EFwQRxA0ECMQFRAGD/YP4Q/FD58Pbg8yDu8Opw5fDhsN3A2kDXENRA0ZDPEMygylDIEMYAxBDCYMDQv2C+ML0QvCC7MLpQuUC38LZQtCCxgK5wqxCncKOwn+CcIJhglJCQoIygiICEcICQfPB5sHbgdIBygHDgb3BuYG2AbQBs4G0QbaBuYG8gb9BwMHBAcBBvsG9AbvBuwG6gbrBusG7AbsBuwG7QbuBu8G7wbrBuMG1Aa/BqYGigZwBlsGSwZDBkEGQQZDBkMGQAY5Bi8GIwYWBggF/AXwBecF4AXbBdcF1QXSBc4FyAXABbUFqQWcBZAFhQV8BXMFaQVfBVMFRQU0BSEFDAT3BOIEzAS4BKMEjwR7BGYEUAQ4BB0D/wPhA8MDpwOQA38DdgNyA3UDegN/A4MDggN7A24DWgNBAyQDBALjAsQCpQKJAm4CVQI9AiUCDQH1AdsBwQGmAYoBbAFNASwBCQDlAMEAnAB5AFgAOwAiAA7//v/y/+j/3P/L/7L/kf9o/zv/Ef7v/tz+3P7v/xH/O/9i/37/h/96/1j/JP7n/qX+Zv4t/fr9zP2i/Xn9Tv0h/PD8vfyI/FT8I/v1+877rPuS+377cPtl+137VPtL+z77MPse+wv69fre+sX6rPqU+nv6ZPpO+jn6JfoQ+fr54/nK+bH5mPl/+Wb5Tvk2+Rz5APji+ML4ofiB+GL4R/gv+Br4CPf59+335Pfe99z33ffg9+T36Pfp9+f34vfb99P3zPfG98P3wve/97v3svel95P3f/dr91r3TvdJ90n3TvdU91n3W/dW90r3OPcg9wX26PbL9rH2mvaH9nf2afZd9lL2SfZB9jv2N/Y39jr2QPZH9k/2V/Zf9mf2b/Z39n/2hvaL9ov2hvZ79mn2UvY19hb19fXT9bP1lPV49WD1TvVC9Tv1OvU89T/1QfVC9UD1PPU39TL1LfUp9SX1HvUV9Qj0+PTl9NP0wvS09Kz0qPSp9K/0uPTD9M/03vTt9P71EPUk9Tn1T/Vk9Xn1jPWc9an1svW49bz1v/XD9cj1z/XZ9ef1+PYN9iX2QfZg9oH2pPbH9ur3C/cq90j3ZPd/95j3sPfH99v37vgA+BL4I/gz+EH4TfhT+FP4TPg/+C74HPgM+AH3/vgC+A34HPgv+ET4Wfhu+IP4mfiu+ML41Pji+O349Pj5+P35A/kL+RX5Ivkx+UH5UPlf+W75fvmO+aD5sfnD+dP54fnt+fj6AvoP+h76M/pO+m76lPq++u37HftP+4H7svvg/An8KvxB/E/8U/xR/Ev8SPxL/Fj8dPye/Nb9GP1i/bD9//5M/pf+3/8k/2X/ov/bAA4APQBmAIoArADNAO0BDQEuAU4BbQGKAaYBwAHZAfICDAIlAj4CVAJnAnUCfQJ/An0CdwJxAm0CbAJwAnoCjAKkAsIC5QMJAyoDRwNcA2gDbANqA2cDZgNrA3kDkAOuA88D7wQKBB4EKQQsBCgEIQQZBBMEDwQPBBAEFAQWBBcEFAQNBAID8wPjA9MDxQO7A7YDtQO5A8ADyQPUA98D6wP4BAUEEwQgBC4EOQREBE4EWARjBG8EfQSKBJYEoASnBKoEqgSpBKoErQS0BLwExQTLBM4EywTEBLsEsQSoBKEEnQSaBJYEjwSGBHoEbQRiBFsEVwRXBFkEWgRYBFIESAQ8BC8EIwQYBA4EAgP1A+MDzwO6A6QDkgODA3cDbgNmA10DUQNEAzUDKAMdAxYDEQMMAwYC/ALuAt0CygK5AqkCmwKNAn0CZgJJAiUB/gHYAbgBogGYAZcBnAGjAaYBogGYAYoBfAFwAWsBbgF2AYIBjwGZAaABpAGmAagBrAGzAbsBxAHMAdAB0gHQAc4BzAHMAdAB1gHeAeYB6wHsAekB4gHZAdEBzAHNAdUB4gHzAgUCFAIfAiQCIwIeAhgCEwIPAg4CDwIQAhECEQIPAg0CDAIMAhACGAIjAjACPgJNAlsCaAJ0An8CigKVAqECrAK5AsgC2ALpAv0DEgMoAz8DVgNuA4UDmwOwA8EDzgPWA9gD1QPPA8gDwgPAA8IDyQPVA+MD8QP9BAYEDAQQBBMEGAQfBCsEPARQBGcEfQSQBJ8EqQSsBKwEqQSmBKYEqwS3BMkE3wT4BRIFKQU9BU8FXwVwBYMFmAWwBckF3gXtBfIF6wXZBb4FnwV+BWIFSwU6BS8FJgUfBRcFDgUFBP0E9gTzBPEE8QTvBOsE4QTTBMIErgSZBIUEdARkBFUERwQ4BCgEFwQGA/YD5gPYA8kDuwOqA5cDggNrA1MDPAMlAxAC+wLlAs0CsQKSAnECUAIyAhoCCAH9AfYB8QHsAeQB2AHJAbcBowGOAXkBYQFGASUA/wDSAKIAcAA+AA3/3v+t/3n/P/7+/rX+Zv4V/cb9ff08/QT81vyw/I/8cfxU/DX8E/vv+8f7nftw+0P7Ffro+rv6jvpi+jX6CPnb+a/5hfle+Tv5Gvj7+Nr4uPiS+Gj4PPgQ9+X3vPeX93X3Vfc29xj2+/bg9sj2svag9o72evZi9kT2H/X29cn1nfV09VD1MPUW9P706fTV9MD0q/ST9Hn0W/Q39A3z3vOr83fzRvMb8vjy3fLL8r/ytvKs8p7yi/Jw8k3yI/Hz8b7xifFU8SLw9fDO8KrwifBp8EjwJO//79nvs++Q73DvU+867yTvD+797u3u4e7b7tvu4u7u7v7vEO8f7yzvN+8+70fvUe9e73Dvhu+d77Tvyu/c7+vv+PAE8BDwHfAr8DnwRvBR8FjwXfBg8GHwY/Bl8GnwbvB08HnwfvCD8IfwjfCU8J7wqvC58Mjw2fDq8PzxDvEh8TXxSfFe8XPxhvGY8anxuPHH8dXx5PH18gnyH/I38lDyafKA8pTypfKy8r3yyPLV8ufy/vMa8zrzXPN985zzuPPR8+n0A/Qe9D70YfSG9K301PT89ST1T/V+9bL16/Yq9m32s/b890j3l/fq+ED4m/j3+VX5r/oE+lH6lfrP+wL7MPtd+4/7yfwO/GD8vv0i/Yn97P5F/pD+yv72/xP/KP83/0L/TP9U/1z/Zf9z/4z/uP/7AFoA1AFlAgICogM6A78ELQSFBMgE/QUpBU8FcwWWBbYF1AXxBhAGNAZfBpMGzwcQB1MHkQfJB/gIIAhECGkIlQjKCQoJVAmlCfcKRgqLCsMK6wsDCxALFAsWCx0LLQtMC3sLuQwEDFkMtA0RDW8NzA4pDoUO4Q89D5cP7xBDEJQQ5BExEX8RzBIYEmESpRLhExUTQBNiE34TlBOkE60TrBOeE38TThMNEsASbxIjEeYRwBG1EcgR9hI5EokS3xMzE4ATxBP9FC4UWBR+FJ8UvRTXFOoU9xT9FPwU9xTwFOkU5xTqFPQVBRUbFTYVUhVvFYoVpRXAFdsV9xYWFjcWWxaBFqkW0hb6FyIXSBdtF48XsBfOF+wYCRgpGEoYbxiVGLwY4RkDGR4ZMhlAGUgZThlSGVgZYBlsGXoZixmcGa0ZvhnMGdkZ4hnnGekZ6BnmGeUZ6BnxGf8aERokGjMaPBo7Gi4aGBn7GdwZvRmhGYsZeRlqGV4ZURlEGTYZJhkUGQEY7BjXGMIYrRibGI0Yghh7GHYYcBhpGF4YThg5GB8YABfeF7kXkhdqF0IXHBb5FtkWuxaeFoEWYBY7Fg8V3xWqFXUVQRURFOYUwRShFIcUcRRhFFQUSxRFFEEUPxQ8FDgUMhQqFCAUExQDE/ET3hPJE7MTnROIE00TORMjEwoS7RLMEqYSfRJREiQR9hHHEZYRYxEuEPwQzxCsEJgQlhCjEL4Q4BECER4RMRE4ETQRKBEWEQAQ5xDNELEQlBB2EFcQOBAZD/gP1A+sD34PSw8TDtkOng5lDi0N9w3CDYwNVg0gDOwMvAySDHAMVgxBDDIMJAwXDAcL9gvhC8oLsAuTC3ILTAsfCuwKswp0CjIJ7QmpCWUJIgjgCKAIYAgjB+kHsgeCB1gHNQcaBwQG9AbnBtwG1AbPBs0GzwbWBt8G6QbzBvsG/wcABwAG/gb9BvwG/Ab8BvwG+gb3BvQG8QbwBvEG8AbtBuUG1gbBBqYGiQZsBlMGPwYyBioGJQYgBhoGEgYIBfwF8QXmBdwF1AXNBcgFwwW/BbsFtwWyBasFogWYBY4FgwV5BXAFaQViBVsFUwVJBTwFLQUcBQoE+ATnBNYExgS3BKkEmwSOBH8EbgRZBD8EIAP+A9sDuwOhA5ADiAOKA5IDngOoA60DqgOgA40DcwNVAzQDEwLzAtMCtQKYAnoCXQI9Ah0B/AHaAbkBmQF7AV8BRAEqAREA9wDcAL8AogCEAGcASwAxABsACP/4/+r/2v/H/67/jf9n/z//G/8A/vT++f8N/yz/Tf9o/3T/bP9Q/yP+6f6p/mr+MP38/c39ov15/U39IPzv/Lz8ifxW/CX7+fvS+7H7l/uE+3b7a/th+1f7S/s9+y37HPsK+vb64frK+rH6lfp4+ln6PPog+gb57fnW+b75pvmN+XT5W/lD+Sz5FvkA+On4z/iz+Jb4efhe+Eb4Mfgf+BD4APfv9973zPe897H3q/eq9673s/e597v3uPey96j3n/eY95T3lPeV95X3kveJ93r3ZvdQ9zr3KPcc9xb3FvcY9xz3HfcZ9xD3APbr9tL2uPae9ob2cvZh9lL2RvY69i32IfYU9gr2AvX/9gD2BfYN9hX2HfYk9in2LfYy9jf2PPZD9kf2SvZJ9kL2N/Ym9hD19/Xa9bv1mvV69Vr1PfUl9RL1A/T59PP07/Ts9On05/Tm9OX04/Tg9Nv00/TI9Lr0q/Sd9JH0ifSG9Ib0iPSM9I/0kvSU9Jb0mvSh9Kr0t/TH9Nn07PT+9RD1HvUr9TT1PPVC9Uf1TfVU9V31aPV29Yb1mfWw9cr16PYJ9iz2UPZz9pb2tvbT9vD3C/cm90D3Wvdz94r3n/ex98P30/fj9/H3/fgF+Af4A/f59+r32vfL98D3u/e998X30ffh9/P4Bvgc+DX4UPht+Iv4pvi/+NL44fjt+Pf5AfkO+R35MPlF+Vv5cfmF+Zf5qfm6+cz53vnw+gL6FPok+jP6QfpQ+mD6dPqK+qP6vvra+vj7Ffsz+0/7a/uF+537r/u8+8H7vvu1+6r7oPud+6X7vPvj/Bn8Wfyh/Ov9NP17/b7+AP5C/oT+x/8L/03/jf/JAAAAMwBkAJQAxAD1ASUBVQGCAasB0QHyAhECLgJKAmUCfQKSAqECqwKuAq0CqQKlAqICowKoArICwQLUAusDBgMiAz8DWgNzA4YDlQOdA6EDowOmA60DuQPKA+ED+wQVBCwEPwRLBFIEUwRRBEwERwRDBEAEQARBBEIEQwRCBD4ENgQsBB4EDwQBA/QD6wPmA+YD6wP1BAMEFAQnBDoETQReBGwEeASABIgEjwSYBKIErgS6BMYEzwTVBNgE2QTYBNgE2QTdBOIE5wTpBOgE4wTaBNAExgS9BLgEtQSyBK4EqASeBJIEhQR6BHMEcgR2BHwEggSEBIAEdQRkBE4ENAQbBAID6wPVA8IDsAOhA5UDjAOGA4QDggN/A3oDcQNlA1gDSgM+AzQDLQMnAyADFwMLAvwC6gLYAsUCtAKiAo4CdwJbAjsCGQH4AdwBxwG7AbYBtgG3AbYBrwGiAZIBgQFyAWgBZQFnAW8BeQGCAYkBjgGRAZMBlAGXAZwBogGqAbIBuQHBAccBzQHSAdkB4AHpAfEB+AH9Af8B/gH6AfUB8QHxAfYB/wINAh0CKwI2AjwCPQI6AjQCLgIqAikCKwItAjACMQIxAjECMAIwAjICNwI9AkUCTQJWAl8CaAJzAn8CjAKaAqkCuQLJAtsC7QMBAxYDLQNFA14DdwOQA6gDvgPSA+ID7APxA+8D6QPfA9UDzgPLA84D1wPjA/ID/wQLBBMEGAQcBCIEKwQ6BE4EZgSABJkErQS7BMEEvgS2BKsEowShBKgEvATcBQYFNwVoBZYFvAXYBewF+AYBBgsGGAYrBkEGWAZsBngGeAZsBlQGNgYTBfIF1AW7BacFlgWFBXMFXgVIBTIFHQUNBQAE+ATzBO8E6gTkBNwE0QTDBLQEowSPBHkEYAREBCYEBwPoA8sDsAOXA4EDbQNaA0gDNQMiAw8C/ALoAtQCwAKqApECdgJXAjcCFwH5Ad8BywG8AbMBrAGoAaIBmwGSAYcBegFrAVkBRQEsAQ0A6AC9AI4AXgAt//7/0f+l/3j/SP8U/tz+nv5d/hr92f2a/V79J/z1/Mb8mvxw/Ej8IPv5+9L7qvuD+1v7MvsK+t/6sfqB+kz6Ffnd+af5dvlM+Sj5Cfjt+M/4rfiF+Ff4Jvf098f3nvd79133P/ch9v/23Pa49pb2efZh9k32OvYl9gv16vXD9Zj1bfVF9SP1B/Tx9N/00PTB9LH0n/SK9HH0U/Qw9Abz2POm83XzR/Mg8wHy6vLa8s3yv/Ku8pXydvJP8iHx8PG88YnxWfEs8QTw4fDB8KLwhPBj8D/wGO/t78Hvlu9t70nvKO8M7vTu3u7L7rzusO6p7qjurO617sHuzu7c7uju9O7/7wvvGe8p7zzvT+9h73Hvfu+G74rvje+R75fvoO+t773vzu/e7+rv8+/47/rv++/87/7wAvAI8A/wF/Af8CjwMvA/8E7wYPB08InwnvCz8Mfw2vDs8P7xDfEb8SbxL/E08TjxPPFC8UvxWvFu8YnxqfHM8fDyE/Iy8k3yY/J28obyl/Kr8sXy5fMK8zHzWPN685fzrfO+883z3fPw9Aj0JfRE9GX0h/So9Mv08PUb9Uz1hfXE9gj2Ufac9uv3PfeV9/L4Vvi/+Sn5kfnz+kr6lPrR+wH7KftN+3L7nvvV/Br8bvzN/TT9m/3+/lb+oP7a/wX/I/84/0X/Tv9T/1f/XP9m/3v/o//jAD8AuAFIAegCigMjA6oEGARrBKcE0gTzBQ4FKgVHBWYFhgWmBcgF7AYVBkQGega1BvMHMQdsB6EH0gf9CCcIUwiDCLsI+wlECZMJ5go2Cn8KvArqCwoLHgsrCzgLTQtvC6EL5Aw0DI0M6A1DDZoN7Q4/DpEO5Q88D5YP8BBKEKIQ9hFIEZYR4hIrEnASsRLsEyATThN1E5YTsRPEE8wTxhOvE4UTSBL/Eq8SYxIlEf4R9BIJEjkSgBLUEy0TgxPRFBQUSRR0FJUUrhS/FMsU0BTPFMkUwBS1FKwUphSmFK0UuxTPFOgVBBUiFUAVXhV7FZcVshXOFesWChYrFk4WdBacFsYW8BcbF0QXbReTF7UX1RfzGA4YKBhCGF8YfhigGMQY6BkJGSYZPRlNGVgZXxllGWwZdhmDGZEZoBmuGboZwxnJGc0ZzxnPGc0ZyxnJGcgZyxnRGdwZ6Rn3GgIaBhoBGfIZ2hm8GZwZfBlhGUsZOxkuGSIZFxkJGPkY5hjSGLwYphiQGH0YbBhfGFYYUhhSGFMYVBhSGEwYQBguGBYX+RfZF7YXkxdxF1EXMxcYFv8W5RbJFqcWfxZPFhkV3xWkFWsVOBUKFOEUvhSfFIQUbBRYFEoUPxQ5FDUUMRQsFCQUGRQLE/sT6hPYE8YTsxOfE4sTdhNiEyoTExL9EuYSzxK1EpkSexJbEjkSFBHtEcMRlRFmETkRERDyEOEQ3xDrEQERHRE5EVARYBFnEWYRXxFRET8RKRENEOwQxhCeEHUQTBAkD/wP1A+qD34PUA8gDu8Ovw6PDl4OLA31DboNfA08DP4MxgyYDHYMXgxPDEUMPQwyDCMMDgvyC9ALqAt8C0oLEwrYCpkKVQoNCcMJdwkrCOAImAhUCBUH3AepB3wHVQc1BxsHCAb6BvEG7AbpBucG5gblBuQG5QboBuwG8gb4Bv4HAgcGBwgHCgcMBw4HDwcPBwwHBwcBBvkG8gbtBukG5gbhBtkGywa3Bp0GgAZjBkgGMgYgBhMGCAX/BfUF6QXdBdAFxAW6BbIFrQWqBakFqgWrBaoFqAWiBZgFigV6BWkFWgVNBUUFPwU7BTYFMAUmBRoFCgT6BOkE2QTKBLwErgSiBJgEjwSHBIAEdgRoBFUEOQQYA/IDzQOuA5gDjQONA5YDowOvA7cDuAOwA6ADigNvA1IDNAMVAvUC1QKzApECbAJGAh8B+AHQAaoBhAFhAT8BIAEEAOsA1AC/AKsAmACEAG8AWABBACoAFAAA/+z/2f/D/6v/jv9t/03/MP8c/xX/G/8s/0T/Wf9k/1//R/8e/uf+qP5o/iz99f3E/Zb9av0+/RH84/y1/Ij8XPwz/Az76PvI+637mPuI+3z7cvto+1z7Tfs5+yT7DPr1+t36xvqu+pT6d/pY+jj6GPn5+dz5wPml+Yr5bvlR+TX5GfkB+Or41vjD+K74mPiA+Gf4T/g5+Cb4F/gK9/737/fe98n3sved94v3gPd994H3iPeP95P3kveL94H3dPdq92P3Yfdj92X3Zfdg91P3Qfcq9xL2/fbs9uP24Pbi9uf26vbq9uT21/bD9qv2kfZ39mD2TfZA9jf2MPYp9iD2FPYF9fT15fXa9dT10/XX9d314/Xo9er16vXq9er17fXy9fr2AvYI9gz2C/YF9fn15/XQ9bX1lfVz9VD1LvUO9PL02/TI9Lz0tPSv9K/0sPSz9Lb0t/S09K70ovST9IP0dPRp9GT0Z/Rv9Hr0hvSQ9JX0lfSQ9In0gvR99Hv0f/SH9JL0oPSv9L70y/TW9N/05vTs9PL0+PUB9Qv1GPUn9Tn1TvVm9YH1oPXD9ef2DPYx9lP2c/aP9qn2wfbZ9vH3CPcf9zX3Sfdb92z3ffeN9533q/e197v3u/e196r3nveR94j3g/eD94j3kfee9673w/fd9/z4IPhH+G74k/i0+M344Pju+Pn5BfkU+Sf5QPlc+Xn5lvmw+cf52/ns+f36Dvof+jL6Rvpa+m76g/qX+qz6wfrW+uz7AfsV+yf7OPtG+1P7X/tr+3T7fPuA+4D7fPt0+2v7Zvtn+3T7jvu1++j8Ivxf/Jv80v0E/TP9YP2Q/cT9/v48/nz+vP76/zT/a/+i/9sAGABaAKAA5wEtAW8BrAHhAg8COAJdAn4CmgKyAsMCzgLSAtECzgLMAssCzwLWAuAC7QL6AwgDFwMoAz0DVgNyA5EDrQPHA9oD5gPtA/AD8QP1A/wECQQbBC8ERARYBGgEcgR3BHcEdARvBGoEZwRnBGoEbgRzBHYEdgRyBGoEXQRNBDwELQQiBBwEHQQmBDQERwRdBHMEhwSYBKQErASxBLUEuQS+BMYEzwTbBOYE8QT5BP4FAQUCBQEFAAT/BP4E/AT5BPQE7ATkBNoE0QTKBMUEwQS+BLoEswSqBKAElQSNBIgEiASMBJIEmASZBJQEhgRxBFUENgQWA/gD3gPJA7kDrQOlA6ADnQOcA5sDmQOWA5ADhwN9A3EDZANYA04DRgM+AzUDKgMdAw0C+wLpAtkCygK9ArACogKRAn0CZgJMAjMCGwIJAfsB8QHqAeIB2QHMAbsBpwGTAYEBdAFtAWwBcAF5AYIBiwGRAZQBlAGRAY4BjgGRAZkBpQG0AcQB1AHgAekB7wHzAfYB+QH9AgICBgIJAgwCDQIPAhMCGgIjAi8COwJGAkwCTwJNAkoCRgJEAkQCRwJMAlECVQJYAloCWwJdAl8CYQJlAmkCbQJyAncCfwKJApYCpQK3AsoC3gLyAwgDHgM1A04DZwOAA5kDsQPIA94D8QQABAwEEwQUBBAEBgP7A/AD6APmA+oD9AQBBBEEHwQpBDAENAQ3BDoEQgROBF8EdASLBKAEsAS6BL0EuwS2BLQEuATIBOUFEAVGBYMFwAX5BiYGRgZWBloGVQZMBkYGRQZMBloGbgaDBpUGoAajBp0GkAaABm4GXgZQBkIGNAYiBgwF7wXOBakFgwVfBT4FIwUNBP0E8QToBOEE2gTTBMkEvQStBJkEgARkBEQEIgP/A9sDtwOVA3UDWQM/AykDFgMFAvYC5gLWAsMCrwKXAnwCXgI+Ah4B/gHgAcUBrgGcAY0BggF4AW8BZgFcAVIBRwE7AS4BHgEKAPIA0wCwAIkAXwA0AAn/3/+1/4n/XP8s/vn+w/6M/lP+Gv3i/an9cf05/QL8zPyY/GX8NfwH+9z7s/uN+2r7R/sl+wH62Pqp+nL6Nvn2+bb5e/lH+Rz4+fja+Lz4mvhy+EP4EPfe9673hfdh90H3IvcB9tv2svaI9mH2PvYj9g31+vXn9dD1svWP9Wj1QfUf9QL06/Ta9Mz0v/Sx9KD0jPR29F30QPQf8/nzzfOf83HzRvMg8wPy7PLb8szyuvKi8oLyWvIq8fbxwPGN8V3xMvEN8O7w0fC38JvwffBa8DPwCe/c767vgu9Z7zTvFO737t3ux+6z7qHulO6K7oPuge6C7oXuiu6R7prupO6w7r3uze7e7u/u/+8N7xjvH+8i7yLvIe8h7yTvK+8370bvV+9o73fvgu+J74zvju+P75Lvlu+d76bvsO+778bv1O/j7/TwCPAd8DPwSfBf8HXwifCd8K/wv/DM8NXw2vDc8Nzw3fDg8Ofw9fEK8SXxRvFr8ZDxtfHY8ffyE/Is8kXyYPJ+8qHyyfL18yLzTPNw84zzn/Os87TzvfPK89zz9PQR9DD0UfRy9JP0t/Te9Qv1PvV49bf1+/ZD9o723vc195T3+vhn+Nj5SPmz+hT6aPqv+uf7E/s4+1n7fPul+9r8HPxr/MX9J/2J/ef+O/6C/rr+5P8C/xb/I/8t/zX/QP9S/2//nv/kAEMAuwFJAeQCgQMWA5gEAgRQBIYEqQTABNME5wT+BRoFOgVcBYEFpwXRBf8GMQZnBqEG3AcYB1IHiAe8B+wIGwhKCHwIsgjwCTUJggnTCiUKcgq2CuwLFAsxC0gLYQuBC68L7Aw3DI4M6g1HDaIN+g5PDqQO+g9TD68QDRBrEMYRHhFyEcASCxJREpQS0RMLEz8TbhOWE7YTzRPXE9ITuxOSE1gTERLGEn4SRBIgEhcSKxJZEpsS6hM9E40T0xQNFDoUXBR1FIYUkRSXFJYUkRSIFHwUcRRqFGoUchSDFJsUuRTaFPoVGRU2FVEVaxWEFZ8VvBXbFf0WIRZHFm8WmBbCFuwXFhc+F2YXjBexF9QX9RgTGC8YSRhiGHsYlRiwGM4Y7RkMGSkZQxlYGWgZdRl/GYoZlRmgGasZtRm6Gb0Zuxm4GbMZrxmrGagZphmjGZ8ZmxmXGZMZkhmSGZIZkBmKGX8ZbxlaGUMZLBkWGQQY8xjlGNYYxhi0GJ8YiBhwGFkYRBgyGCQYHBgZGBsYIRgpGDEYNxg6GDgYMBghGA0X8xfXF7gXmBd7F2EXShc2FyMXDhbzFtEWphZxFjYV+RW8FYMVURUlFP0U2BS1FJQUdRRZFEMUMxQoFCEUGxQTFAkT+hPpE9cTxBOyE6ITkRN/E2wTVxNBExwTAxLrEtISuxKkEo0SdhJfEkcSLhISEfIRzxGrEYcRaBFREUURQxFMEVsRbBF7EYYRihGHEYARdBFlEVARNxEYEPMQzBCjEHsQVhA0EBQP8w/PD6gPfA9NDxwO6w65DoUOUA4XDdoNmg1ZDR0M5wy6DJgMfgxsDF4MUAw/DCoMDgvrC78LjAtRCxAKygqBCjUJ6AmaCUsI/AivCGMIHAfbB6MHdAdOBzEHGwcLBv8G9gbxBu8G8AbzBvcG+wb/BwEHBAcGBwgHCgcMBw4HEAcRBxMHFAcXBxkHGwcbBxkHEgcJBv0G8AbkBtoG0gbLBsIGtQakBo4GdQZZBj4GJgYSBgIF9QXrBeEF1wXLBb0FrgWgBZMFiAWCBYIFhQWLBZEFlAWRBYcFdgVhBUkFMwUjBRcFEgUOBQwFBwT+BPIE4wTUBMUEtwSqBJ0EkQSGBHwEdARwBG4EbQRoBF0ESAQrBAYD3gO6A50DiwOFA4oDlQOiA60DswO0A64DowOUA4EDagNPAy8DCwLiArUChwJYAikB/AHQAaUBfAFTASsBBgDkAMYArgCcAI4AhQB8AHMAZgBWAEMALAAU//z/5P/L/7H/lP92/1j/Pv8r/yT/Kf83/0j/Vv9Z/0v/LP78/sL+gv5C/gb9zv2a/Wf9Nf0C/NH8ovx4/FP8M/wX+/z74/vL+7b7pPuX+4z7hPt6+2z7WftA+yH7Afrh+sL6pfqK+m76Uvoz+hP58/nT+bP5lfl3+Vn5Ofka+Pv43vjE+K34mfiH+Hb4Y/hO+Dn4JPgR+AD38/fo9933z/e/96r3lPd+92v3XfdX91f3XPdh92P3YPdY90v3PPcu9yP3Hvcd9x73Hvcb9xH3Afbs9tX2wPaw9qf2pvaq9rP2u/bA9r/2tPah9of2afZL9jH2H/YV9hL2FPYW9hX2DvX/9ez11vXD9bb1r/Wv9bT1uvW/9cD1vvW59bX1s/W19bn1wfXI9c710fXO9cX1t/Wj9Yr1bfVO9S71DvTw9Nb0wPSv9KL0m/SX9Jf0mfSd9KD0ofSd9JT0hvR09GL0UvRI9Ef0TvRd9HD0g/ST9J30n/Sa9I/0gvR19Gr0ZPRj9Gn0cvR/9I30m/Sn9LH0uPS99MH0x/TO9Nf05PTz9QT1GPUv9Un1Z/WJ9a711PX69h72P/Zb9nT2ivae9rH2xPbX9un2+/cM9x73MPdD91X3Zvd09333gfd+93b3avde91P3S/dJ90z3Vfdl93z3m/fB9+34HfhO+H34pfjE+Nr46Pjw+Pj5AfkR+Sj5Rvlp+Y/5tPnX+fT6Dfoh+jP6Q/pT+mX6efqN+qP6uPrN+uD68/sE+xX7Jfsz+0H7TvtZ+2T7bvt4+4H7ivuR+5b7mfub+577pfuy+8j76PwR/EH8c/yk/NH89v0V/TD9Sv1m/Yb9rP3X/gX+M/5h/o3+u/7r/yP/Y/+uAAIAXAC4AREBZQGvAfECKgJcAogCrgLOAucC+AMBAwMDAgMAAwADAwMKAxIDHAMlAywDNAM+A00DYwOBA6QDywPvBA4EIwQtBC4EKAQhBBsEHAQjBDIERgRbBG8EgASLBJAEkASNBIkEhgSGBIkEjgSUBJoEnQSdBJgEjQR/BHAEYQRWBFIEVAReBG8EhASaBK4EvwTLBNME1wTZBNsE3gTkBOwE9gUBBQsFFAUbBR4FHwUdBRkFEwUNBQcFAAT5BPEE6QTfBNYEywTCBLkEsQSqBKQEngSZBJQEjwSMBIsEiwSNBI4EjgSJBH4EbQRWBDoEHQQBA+gD1QPIA8ADuwO5A7gDtwO0A68DqQOiA5kDkAOGA3sDcQNmA1wDUgNIAz4DMgMkAxUDBQL0AuUC2ALPAsgCwgK7ArACoAKKAnECVgI8AicCFgILAgMB/QH1AeoB2gHGAbABnAGNAYUBhQGMAZgBpQGvAbUBswGsAaEBlwGRAZMBnQGuAcMB2AHqAfYB/AH8AfoB+AH4AfwCAgIKAhICGAIeAiMCKQIxAjoCRAJOAlYCWwJeAl4CXgJfAmICZgJsAnICdwJ7An0CfwKBAoQChwKLAo8ClAKaAqECqgK3AsYC2QLtAwIDGQMvA0cDYAN5A5MDrgPIA+AD9QQIBBkEJgQvBDUENgQyBCsEIAQVBAwEBwQJBBAEHQQuBD8ETgRaBGEEYwRjBGIEYgRlBGwEdwSEBJMEogSwBL0EygTbBPMFEwU/BXQFsAXtBicGVgZ3BocGhwZ6BmUGTQY5BisGJgYqBjYGRwZbBm8GgAaOBpgGoAamBqsGrwayBrEGrAahBo0GcQZMBiAF8AW/BY8FYwU8BR0FBQTzBOYE3ATTBMkEvQSuBJwEiARxBFgEPQQgBAED4AO/A5wDfANdA0IDKwMWAwQC8gLfAsoCsgKXAnoCWwI8Ah0B/wHjAcsBtAGfAYwBeQFnAVQBQQEvAR8BEQEEAPkA7QDfAM4AuQCgAIMAZQBFACUAA//f/7j/jf9d/yv+9v7A/ov+Vv4i/e39tv1+/UP9BvzJ/Iv8UPwY++T7tPuK+2X7Q/sl+wX64vq5+ob6S/oI+cL5fvlB+Qz44vi/+J/4f/hb+DH4AvfQ96D3cvdI9yL2/PbU9qr2ffZR9ij2BfXp9dT1wvWv9Zn1fvVe9Tz1HPT/9Oj01/TJ9Lv0rPSa9IX0bvRW9D30IvQF8+PzvfOT82fzPfMX8vfy3/LL8rnypfKM8mvyQ/IT8eDxrPF78U7xJvEE8ObwyvCu8I/wbvBJ8CHv9u/L76Lveu9W7zXvF+777uHuye607qDukO6D7njub+5p7mTuYe5g7mHuZu5t7nbuge6M7pfuoe6q7rHutu667rvuvO697r/uxO7N7tnu5+727wXvEO8Y7x3vIe8k7ynvMO8670bvU+9h72/vfu+O75/vse/F79jv7PAA8BPwJvA68E3wX/Bv8HzwhvCO8JTwm/Cl8LPwxfDc8PXxEfEu8UvxafGG8aPxwfHf8f/yIPJE8mzylvLD8u/zGfM981nzbfN684PzjPOY86vzxfPm9Av0M/Rb9IP0qvTR9Pv1KPVY9Y31xfYC9kT2jfbd9zb3l/gA+Gz42vlG+av6CPpb+qP63/sT+z/7ZvuN+7f76Pwi/Gj8t/0N/WT9uf4G/kj+ff6n/sf+4f74/xD/LP9Q/4D/vwARAHYA7gF0AgQCkgMXA4kD5AQnBFIEbgR/BI0EnQS0BNAE8wUaBUQFcQWgBdAGAwY3Bm0GpAbcBxQHSweBB7YH6AgZCEgIeAiqCOMJJAlvCcEKFwpsCrkK+gstC1QLdAuSC7cL5gwkDHEMyg0rDZIN+Q5gDsQPJw+ID+gQRRChEPkRTRGeEeoSMRJzErIS7BMjE1UTgBOkE70TxxPAE6QTdhM4EvASpxJlEjQSGBIXEi4SWxKYEtsTHxNdE5ITvRPdE/YUCBQYFCQULxQ3FDwUPhQ+FD4UQRRIFFYUbBSJFKsUzxTyFRMVMRVKFWIVeRWRFawVyxXtFhMWOxZlFpEWvRboFxIXOxdhF4YXqRfLF+0YDhguGEwYZxiAGJYYrBjBGNgY8RkNGSgZQxlbGW8ZgBmNGZgZoRmoGa0ZrhmrGaUZnBmSGYoZhBmBGX8ZfBl2GWsZWhlGGTEZHRkOGQQY/xj9GPwY+BjxGOYY2BjGGLMYnxiLGHYYYBhJGDAYGRgDF/AX4xfcF9wX4RfsF/kYBxgUGB8YJRgoGCUYHRgQF/8X6RfRF7YXmxeCF2wXWRdJFzsXKhcVFvcW0BahFmwWNBX9FcsVnBVyFUkVIBT1FMoUnxR4FFgUPxQuFCMUGRQPFAIT8BPcE8YTsROeE44TfhNvE14TShM0EysTFRL7EuESxhKtEpYSghJxEmISUhJAEisSExH3EdwRxBGyEacRpBGnEasRrxGuEagRnBGMEXoRZxFSETwRIxEHEOkQyhCtEJMQexBmEE8QNRATD+gPtg9+D0IPBQ7JDo4OVA4aDeENqA1xDT8NEgzqDMgMqQyNDHIMVww7DB0L+wvSC6ILZwskCtcKhQowCdsJiQk7CPAIpwhhCB4H3wenB3gHVAc5BycHGgcSBwoHBAb+BvoG+Qb7BwAHBwcPBxYHHAcgByMHJAckByIHIAccBxkHFwcXBxkHHAcfBx8HGwcSBwUG9QblBtUGyAa9BrIGpgaYBoUGbgZUBjkGIAYJBfgF7AXjBd0F1gXMBb0FqgWUBX0FaQVbBVUFWQVjBXAFegV+BXgFaAVQBTQFGgUFBPYE7gTpBOUE3wTVBMgEuQSrBJ8ElASLBIEEdwRsBGIEWwRYBFkEWwRbBFYERgQsBAkD4QO5A5gDggN4A3kDgQONA5kDowOpA60DrQOqA6IDlAN+A2ADOAMJAtUCnQJlAi4B+gHJAZsBbgFDARkA8QDMAK0AlACCAHkAdQB2AHcAdABtAF8ASwA0ABn//f/g/8H/oP99/1r/Ov8i/xX/Ff8g/zD/Pv9D/zn/Hf7x/rn+e/47/f39wP2F/Ur9D/zU/J78bfxG/Cj8Efv/++773vvM+7v7rPug+5f7jvuD+3L7Wfs5+xL66frB+p36fPpf+kL6JfoG+eX5wvmg+X75X/lA+SL5BPjm+Mj4q/iR+Hn4ZPhR+ED4L/gc+Ar39/fm99b3yfe897H3pPeV94T3cPdc90n3Ofcu9yn3J/co9yf3I/cb9w32/fbs9tz20fbK9sf2xfbC9rv2sPag9o72ffZv9mf2Z/Zu9nn2hvaQ9pP2jPZ79mD2QPYf9gL17/Xm9en18vX89gP2AvX49eX1zfW39aX1nPWb9Z/1pvWr9az1qfWh9Zj1kfWN9Yz1jvWR9ZP1kvWM9YH1cfVc9UX1LPUS9Pn04vTO9L30r/Sl9J70mPSV9JP0kvSR9I/0jPSG9H30cPRh9FD0QvQ49Db0OvRF9FX0aPR49IX0jPSM9IX0evRt9GH0V/RU9Fb0X/Rs9Hz0i/SY9KH0pvSo9Kr0rfSy9Lv0x/TW9Ob0+fUO9SX1QPVf9YL1p/XN9fH2EvYv9kj2XfZw9oH2kfah9rH2wfbR9uP29fcJ9x73MfdC9073VPdT90v3P/cx9yT3G/cY9x73L/dL93L3ovfa+Bb4UPiD+K34yvja+N/43fja+Nr44vj1+RL5OPlm+Zb5xvny+hn6OvpV+mv6fvqP+qD6sfrB+tL64frv+vv7BfsO+xj7Ivsu+zv7S/tc+2/7g/uX+6z7wPvT++X79/wI/Bv8MPxJ/Gf8ivyy/N39B/0w/VT9cv2L/aD9s/3F/dn97/4G/h7+Nv5O/mf+g/6n/tT/Df9V/6kABgBpAMwBKwGCAdACFQJSAogCuQLkAwkDJgM6A0cDTQNPA1ADUgNVA1sDYANlA2oDbgN1A4ADkgOsA80D8gQWBDUETARXBFgEUARFBDoENAQ1BD8ETwRkBHoEjgSdBKcErASsBKoEpwSkBKMEpASmBKcEqASmBKAElwSMBIEEdwRyBHMEfASMBKEEuQTPBOME8AT4BPsE/AT9BQAFBgUPBRsFJwUxBTcFOwU5BTQFLQUjBRkFDgUEBPoE8QTpBOAE1wTOBMIEtgSpBJwEkASGBH8EewR6BHsEfQR/BIEEgwSCBH8EeARuBF8ETAQ2BB4EBwPyA+ID1wPRA88D0APRA9ADzQPIA8EDugOxA6kDoQOYA44DggN1A2cDWQNMA0ADNQMqAxwDDgL9AusC2gLLAr4CsgKnApkCiAJxAlcCOwIhAg0CAAH7Af0CAgIGAgYCAAHzAeEBzQG8AbEBrQGxAboBxQHPAdQB0wHLAb4BsAGlAaEBpQGxAcMB2AHrAfkCAAICAf8B/AH7Af0CAgIKAhQCHAIkAisCMgI6AkICTAJXAmACaQJvAnQCeAJ8AoEChwKNApIClgKZApoCnAKfAqQCqgKxArkCwgLNAtkC5wL3AwkDHgMzA0kDXwN1A4sDowO7A9QD7QQFBBsELQQ9BEgETwRRBFAESgRCBDgELgQmBCIEIwQrBDcESARaBGwEewSFBIwEjQSLBIYEgQR+BH4EgwSNBJwEsATIBOUFBgUsBVkFjAXEBf4GNQZiBn8GigaCBmsGSgYnBgoF9wXzBfsGDAYjBjoGTwZfBmwGdgZ+BocGkQabBqYGsAa4Br4Gvwa7BrEGngaEBmEGOQYLBdsFrAWABVoFOwUiBQ4E/gTuBN0EygS2BJ8EiQRzBF0ESAQyBBwEAgPnA8kDqgOLA2wDTwMzAxgC/gLkAskCrgKSAnUCWQI9AiICCQHyAdwBxwGyAZwBhAFoAUsBLQEPAPYA4QDSAMYAvQC0AKgAmQCHAHIAXgBKADcAIwAN//H/z/+m/3b/Qf8K/tL+mv5i/ir98P2z/XP9L/zp/KP8Xvwc+9/7p/t2+0z7KPsI+uz60Pqv+ob6VPoY+dX5j/lL+Q/42/ix+I74bvhM+Cf3/PfM95r3Z/c29wb21/ao9nn2S/Ye9fb11PW59aP1kPV+9Wn1UPU09Rf0/PTl9NL0wvS09KT0kfR79GL0SfQv9Bfz//Pl88fzpfN/81XzLPMF8uTyyfKz8qDyjPJ08lfyM/IJ8dzxrfF/8VTxLPEI8OXwxPCi8H7wWfAx8Anv4e+775jvd+9Z7z3vI+8J7u/u1+7B7q7une6P7oPud+5s7mLuWO5P7knuRu5E7kTuRe5G7kfuSO5K7k3uUO5U7ljuWu5c7l7uYe5m7m7uee6G7pLunu6n7q7utO677sTu0O7f7vDvAu8V7yfvOe9L713vcO+C75Tvpe+078Pv0u/i7/PwBPAW8CjwOfBL8F3wcfCI8KLwvvDZ8PPxCvEe8TDxQfFV8Wzxh/Gl8cfx6vIO8jPyWvKC8qry0vL38xfzMvNH81jzZ/N584/zrfPR8/v0KfRY9Ib0s/Td9QX1LPVU9X31qfXa9hH2T/aW9uX3PPeZ9/n4W/i9+Rz5efnS+ib6dvq++wD7Ofts+5n7xPvy/CT8Xvyg/Oj9Mv17/cD9/v42/mf+lv7F/vb/Lf9r/7IABABhAMoBPQG4AjUCrgMbA3cDvwPxBBAEIwQwBD4EUQRrBI4EtwTlBRYFSQV9BbIF5gYbBk8Ggga0BuUHGAdLB4AHtQfpCBkIRghyCJ8I0gkOCVcJqwoHCmUKvQsKC0gLdwubC7sL4AwPDE8MoQ0EDXQN7Q5nDt8PUA+4EBgQcBDCERERXBGlEesSLhJuEqoS4xMYE0kTcxOSE6MTnxOFE1MTDxLAEnESLhICEfER/hIkElwSnRLdExYTQhNjE3kThxOSE50TqhO5E8oT3RPvFAEUERQgFC8UPxRSFGgUghSgFMEU4hUCFSAVPBVWFW8ViRWlFcMV5BYIFi4WVxaBFq0W2hcHFzIXXBeDF6cXyhfqGAoYKxhLGGkYhhifGLUYyBjaGOwZABkXGS8ZRxleGXEZgBmLGZIZlhmXGZUZkBmJGX4ZcxlpGWAZXBlZGVgZVBlKGTgZHxj/GN4YwBipGJsYlxiaGJ8YpBikGJ4YkRh+GGgYTxg3GB4YBxfwF9oXxxe4F64XqxevF7sXyxffF/IYAhgOGBUYFhgTGAwYAxf3F+kX2BfEF64XlxeBF20XWxdOF0EXNBckFw0W8BbLFqMWeBZOFiYV/xXYFa8VgxVTFSAU7RS+FJcUeBRhFE8UPxQuFBkT/xPiE8QTpxOQE30TbxNkE1kTTRM+E0kTOBMiEwYS6hLOErcSpRKZEpASiBJ9Em4SWRJAEiUSCxH1EeQR2RHSEcsRwRG0EaIRjhF4EWMRUBFAETERIxEVEQYQ9xDpENwQzRC8EKMQgRBUEBwP2w+VD00PBg7DDoUOSg4UDeENsg2HDWANOw0YDPUM0AypDIAMWAwwDAoL4gu2C4ELQgr3CqIKRwnqCZIJQgj8CL4IhQhQCB0H7QfAB5kHegdiB1EHRQc6BzAHJQcaBxAHCQcHBwoHEAcYByEHKgcxBzUHNgc1BzEHKwckBx0HFwcVBxYHGQceByIHIwceBxQHBgb0BuIG0QbDBrYGqQabBooGdAZbBkAGJgYOBfsF7gXmBeAF2gXQBcAFqQWNBW8FVAVBBToFPgVMBV4FbgV3BXQFZQVMBS8FEwT7BOkE3ATTBMgEvAStBJ0EjQSBBHgEcwRvBGoEZARbBFIESwRIBEgESwRLBEYENgQcA/kD0QOqA4oDdANpA2gDbQN2A34DhgOLA5ADkwOTA5ADhwN1A1oDNAMFAs8ClQJZAh4B5gGwAX4BUAElAP4A2QC4AJsAhAB0AGsAaABqAG4AcQBwAGgAWQBEACsADv/v/83/p/9+/1P/Kv8I/vL+6/7x/wL/FP8h/yH/D/7r/rj+fP46/ff9tf10/TL88vyz/Hv8S/wl/Av7+fvt++H71PvG+7b7p/uZ+437gftw+1n7OfsS+uX6uPqO+mj6SPos+hD58/nR+az5hvlg+Tz5HPj/+OX4zPiy+Jj4ffhj+En4Mfgc+An3+Pfo99n3y/e996/3oveW94n3fPdu91/3Tfc59yX3EfcB9vX27vbr9un25/bg9tX2xfax9pz2ifZ69nD2a/Zn9mP2XPZT9kf2OvYv9if2JvYr9jX2QvZN9lT2U/ZH9jP2F/X59d/1zvXH9c312vXp9fb1+/X19eX1z/W59ab1mvWW9Zj1nPWe9Zz1lPWJ9Xz1cfVo9WL1YPVe9Vz1VvVN9T/1LvUa9QX08PTd9Mv0vfSy9Kr0pfSh9J70mvSV9I/0h/R/9Hf0b/Ro9GD0WPRP9Eb0PfQ09C70K/Qt9DP0PfRJ9FX0X/Rl9Gb0YvRc9FT0TvRN9FL0XPRr9Hz0i/SW9J30n/Se9J30nvSk9K30uvTK9Nv07PT/9RP1KvVF9WP1hfWn9cj15/YD9hv2MfZF9lf2afZ69on2mfao9rf2x/bZ9uz2/vcP9x33Jfco9yT3HfcT9wv3CPcO9yD3P/dt96b35/gq+Gn4nfjC+NT41fjH+LL4nfiO+Iz4mfi3+OL5GflV+ZP50PoI+jv6ZvqK+qj6wPrU+uT68vr9+wf7DvsT+xb7GPsb+yD7J/s0+0X7W/t0+5L7sfvS+/P8FPw0/FX8dPyT/LP80/z0/Rb9Ov1e/YP9p/3K/ez+C/4n/kH+WP5t/n/+jv6b/qb+r/65/sT+0/7p/wn/Nf9v/7cACgBmAMUBIwF8AcwCEwJSAosCwALwAx0DRgNpA4QDlwOkA6wDsAOzA7UDuAO7A74DwgPGA84D2wPsBAMEHgQ5BFIEZARvBHIEbQRjBFoEUwRSBFgEZgR5BI8EpQS5BMgE0wTYBNgE1gTRBMsExQTABLsEtwSyBKwEpQScBJQEjgSNBJEEnQSxBMkE4wT7BQ8FHAUiBSQFIwUjBScFLwU6BUYFUAVXBVgFUwVIBTsFKwUbBQsE/QTwBOUE3ATTBMsExAS7BLIEpwScBJAEhAR7BHMEbwRuBG8EcgR2BHkEewR6BHcEcARmBFgERgQzBB4ECwP7A+4D5wPjA+MD5APmA+YD5QPiA98D3APZA9YD0gPKA78DrgOZA4IDawNXA0cDOgMvAyQDFQMCAuoCzgKvApECdQJaAkACJgIMAfIB3AHLAcMBxAHOAd4B8QICAgwCDgIIAfwB7gHgAdYB0AHOAc8B0gHUAdUB1AHQAcoBxAG+AbwBvQHDAc4B2wHoAfUB/gIDAgYCBgIHAgoCDgIUAhwCJAIsAjQCPAJEAk4CWQJjAm0CdgJ+AoQCiwKRApgCnwKmAqsCrwKyArUCuQK+AsYC0ALbAugC9gMEAxQDJQM4A0wDYgN3A4wDoAOzA8UD2APsBAEEFwQsBD8EUARcBGQEZwRkBF4EVARJBD8ENwQ1BDgEQQROBF4EbwR+BIoElASaBJ0EnQScBJoEmASZBJ4EqQS7BNQE8wUWBTsFYQWHBa0F0gX1BhQGKQYxBikGEAXqBb4FlwV+BXsFkAW6BfIGLwZnBpMGrga4BrcGrQagBpMGiQaCBn0GewZ7Bn4GgwaJBo4GkgaPBoUGcQZUBjAGCAXfBbkFlgV3BVwFQwUqBRAE9ATXBLoEngSDBGsEVQRABCoEEwP6A98DwwOkA4UDZQNEAyMDAgLjAsUCqgKQAncCXwJHAi8CFwIAAeoB1QHAAakBjgFuAUsBJQEAAOAAxgCzAKgAoACYAI4AgQBvAF0ASwA9ADMAKwAkABkABf/p/8H/kP9Z/x3+3/6g/l7+G/3U/Yn9PPzt/KD8VfwO+8z7kftc+y77B/ro+tD6u/qm+oz6avo9+gX5xfmA+T34//jJ+Jz4dPhO+Cf3/PfM95j3Yvcr9vX2wfaO9l32LPX/9db1svWT9Xv1ZfVS9T31KPUR9Pr05PTP9L30rPSb9If0cfRY9D70JPQK8/Lz2/PC86bzhvNi8zzzFvLy8tLytvKf8orydPJc8j/yH/H68dLxqfF+8VTxK/EC8Nrws/CN8GbwPvAX7/DvzO+p74rvbu9V7z7vJ+8R7vru5e7Q7r7uru6f7pHug+507mTuU+5E7jfuK+4i7hruEu4K7gPt/u367fnt+u397gDuAu4C7gLuAu4E7gnuEe4c7ifuMu487kTuTe5X7mTudu6K7qHuue7R7uju/u8U7yrvQO9V72jveO+F75Dvmu+l77HvwO/S7+fv/vAY8DTwU/B28JrwvvDf8PvxEfEh8S3xOfFH8VvxdPGS8bTx1vH48hryO/Je8oTyrfLX8wDzJ/NJ82bzgPOY87DzzPPt9BP0PfRq9Jj0xPTv9Rf1O/Ve9YD1o/XJ9fT2JvZh9qT27vc994/34fgz+IX41/kq+X751Poq+n36yvsQ+037gvuy+9/8DvxB/Hn8tvz3/Tr9ff3B/gX+Tf6X/uf/O/+T/+8ATQCvARUBfgHqAlUCuwMXA2IDmwPAA9YD4QPqA/cEDAQsBFQEhAS3BOwFIgVYBY8FxgX9BjIGZQaWBsUG9AckB1cHjAfCB/UIIwhMCHEIlwjDCPsJQgmXCfcKWwq7Cw8LUwuHC68L0gv6DC8MdwzUDUQNwQ5EDsQPPA+mEAMQVBCeEOQRKBFuEbMR+BI6EnkStRLvEyQTURNyE4ATdBNNEwwSuBJgEhER2xHHEdkSDBJWEqgS9RM0E10TchN4E3UTcBNvE3UTghOVE6sTxBPdE/UUDRQkFDsUUhRpFIEUmhS0FM8U7BUJFSYVQxVhFX8VnxW/FeEWBRYqFk8WdhafFskW9hcjF1AXfBemF8wX7xgPGC4YTBhqGIgYpRi/GNcY6xj9GQ4ZIBkyGUUZWBlpGXcZgRmGGYgZhxmDGX0ZdhlsGWAZVRlLGUMZPhk7GTgZMhkmGRMY+RjaGLoYnRiIGHsYdxh5GH0Yfxh6GG8YXRhGGC0YFRgAF+wX2xfLF7wXrxelF58XoBeoF7YXyBfaF+sX9xf9F/0X+BfxF+gX3xfWF80XwReyF6EXjhd6F2gXWBdLFz8XMhcjFxAW+RbeFsEWoxaFFmcWSBYmFf8V1BWjFXAVPhUOFOQUwBSiFIYUaxRMFCoUAxPaE7ITjxNzE2ATVhNTE1QTVRNSE2UTWRNDEycTCRLtEtcSyBLBEr0SuBKvEp8ShxJoEkYSJBIFEewR2RHJEbsRrRGcEYsRehFrEWARWhFZEVoRXBFdEVwRVxFNET4RKBEIEN4QpxBnEB4P0Q+EDzkO9A61DnwORw4WDekNwA2cDXsNWw06DRYM7Qy/DI8MXgwtC/8L0AucC2ALGQrGCmkKCAmqCVcJEQjaCK4IiwhrCEkIJQgAB9sHugeeB4cHdAdkB1UHRgc4BysHIQcbBxoHHAchBygHLwc1BzoHPAc8BzoHNAcuByYHIQcdBx4HIQcmBysHLgcsByUHGAcIBvYG5AbUBsYGuQasBpwGigZ1Bl0GRAYtBhgGCAX7BfAF5QXWBcIFqAWJBWsFUQVBBT0FRAVVBWkFeQWBBX0FbQVVBTgFHQUEBPAE3gTNBLsEpgSQBHwEbARiBF4EXgRgBGAEXARVBE0ERgRCBEIERARCBDoEKQQNA+kDwgOdA38DawNhA18DYQNkA2YDZgNlA2IDXwNbA1QDSAM2AxsC+QLQAqICbwI5AgEByQGSAV4BLgEEAN8AvwCkAIsAdgBkAFYATgBKAEoASwBLAEYAPAAsABb//f/h/8H/nf9z/0b/GP7v/tH+w/7F/tX+7P8B/wv/Av7l/rX+eP4y/en9of1b/Rf81vya/GT8N/wW+/777/vk+9r7zvvA+6/7nvuM+3v7Z/tO+y37BPrV+qT6dPpK+if6C/ny+dn5u/mZ+XL5SPkf+Pn42fi/+Kn4lPh/+Gn4T/g0+Bf3/Pfj9873vvey96n3ofeZ95D3hfd592v3XfdN9zz3KPcT9vz25PbP9r72s/at9qz2q/ao9p/2j/Z59l/2RfYv9h72E/YO9gv2CPYC9fv18fXn9d712fXZ9d/16fX09f32AvX/9fT15PXQ9b/1s/Wx9bn1yPXa9er18vXx9eb11PXA9a71oPWY9ZP1j/WJ9YD1cvVi9VH1Q/U49TD1LPUo9SP1HPUS9Qb09/Tn9Nj0yvS99LP0q/Sl9KL0oPSe9Jv0lfSN9IH0c/Rk9Fb0S/RC9D30OvQ49Df0NPQu9Cf0H/QZ9Bb0F/Qd9Cb0MvQ89ET0SPRI9Ef0RvRI9FD0XPRs9Hz0ivSU9Jj0mfSX9Jf0mfSg9Kr0t/TE9NL03/Tu9P/1E/Ur9Uj1ZvWF9aP1v/XY9fH2CPYf9jX2S/Zf9nD2f/aM9pf2ofat9rv2yfbX9uX28Pb49v33APcF9wz3Gvcy91b3h/fC+AT4SPiF+LT4zvjS+L/4m/ht+EH4H/gQ+Bf4Nvhq+K34+flJ+Zf54foj+l/6kvq8+uD6/PsT+yT7Mfs6+0D7RPtG+0f7SPtL+1L7Xftu+4T7ofvB++X8C/wy/Fr8gvyq/NH8+P0f/Ub9bP2T/bn93f4B/iP+RP5l/oX+pf7E/uL+/v8W/yn/OP9D/0v/Uv9Y/2D/a/96/5H/sP/cABUAWgCqAQABWAGsAfcCOgJyAqQC0QL9AykDVgOAA6cDxwPhA/MD/wQHBA0EEQQWBBoEHwQkBCkEMAQ4BEMEUQRgBG8EfQSHBIwEiwSHBIEEfAR7BH4EiASYBKwEwwTZBO4E/gUJBQ4FDwULBQUE/gT2BPEE7QTqBOcE5ATfBNkE0wTPBM4E1QTiBPYFDQUlBToFSQVRBVQFVAVSBVIFVQVZBV4FYQVgBVoFTwVBBTAFHgUNBP0E7wTiBNgE0ATJBMQEwQS/BLwEuASzBKwEowSZBI8EhQR8BHYEcgRwBHAEcQRyBHIEcARpBF4ETwQ+BCoEFwQHA/oD8gPuA+8D8gP2A/oD/gQDBAgEDgQTBBgEGAQSBAMD7APOA6sDiANpA1ADPgMwAyIDEQL5AtgCsAKCAlMCJAH5AdMBsgGWAYIBdgF0AX8BlAGwAc8B7AIBAgsCDAIFAfsB7wHnAeAB3AHYAdMBzQHGAcEBvwHBAcYBzQHVAdsB3wHiAeUB6QHvAfgCAQIKAhICGQIeAiECJQIpAi4CNAI6AkICSgJTAl0CZgJvAncCfgKEAokCjgKVApwCpQKuArcCvwLHAs8C1wLhAu0C+gMIAxcDJQM1A0UDVwNqA38DlQOqA74D0APgA+4D/QQMBB0ELwRBBFMEYgRtBHQEdgRzBGwEYgRZBFIETwRTBFwEaQR4BIYEkQSYBJsEmwSaBJkEmgSdBKMErQS7BM8E6gUNBTQFXgWHBagFwQXOBdIFzAW/Ba0FkwVzBUwFIAT1BNIEwwTOBPkFQAWeBgUGaQa8BvcHFgccBw8G9QbVBrQGkwZ2BlwGSAY7BjkGQwZYBnQGkwauBr8GxAa4Bp8GfAZSBicF/QXVBbAFjAVoBUQFIAT9BNwEvgSiBIkEcQRZBEAEJQQJA+0D0AOyA5MDdANSAzEDEALwAtQCvAKmApECfAJlAksCLwITAfgB3gHGAa4BkwF0AVABKAEBAN0AwQCtAKEAmgCUAIsAfABpAFMAPwAvACYAIwAiAB8AFgAC/+P/uf+G/0z/Df7L/oX+Ov3s/Zn9RPzu/Jv8TPwC+777gftK+xr68/rV+r/6sfqn+pz6ivpt+kL6CvnH+X75Nvjz+Lf4gvhS+CT39ffE95D3Wvck9u72u/aI9lb2JfX19cf1nvV59Vr1QfUr9Rj1BvT09OH0zvS79Kf0k/R+9Gj0UPQ29B30A/Pq89LzufOf84LzY/NB8x/y/vLf8sPyqvKS8nnyX/JD8iXyA/Hg8bvxlfFs8UPxGPDu8MPwmfBx8EnwI+/+79vvue+a737vZe9P7zvvKe8X7wTu8e7f7szuue6m7pPuf+5p7lLuPO4n7hPuAu307eft2u3P7cXtve247bbtt+257brtu+257bbttO207bbtvO3F7c/t2O3g7ent8u3/7hDuJe4/7lvud+6R7qvuw+7c7vXvDu8m7zzvTu9b72Xvbe9174Dvju+h77nv0+/y8BPwN/Bd8ITwqvDN8OvxAvEV8SXxNPFI8WDxfvGh8cXx6PIL8ivyTPJu8pXywPLw8yLzVPOC86vzz/Pt9Aj0I/Q+9Fv0fPSg9Mf08PUZ9UH1Z/WJ9aj1xPXf9fz2HvZH9nn2svbz9zf3fffC+Ab4SfiN+NX5Iflz+cf6HPpv+rv7Afs/+3f7rPvg/Bb8UPyN/M/9Fv1j/bf+Ev51/tz/R/+wABcAeQDWATIBjwHuAk8CrgMGA1ADhwOpA7oDvwPAA8cD2AP2BCAEUgSIBL4E9AUpBV8FmAXTBg4GSQaBBrUG5gcWB0cHewewB+UIFghBCGYIhgimCM4JAQlECZcJ9QpYCrkLDwtXC5ELvwvpDBgMVAyhDQANcA3oDmIO1Q88D5cP6BAyEHsQxREREV8RrRH3Ej4SgRLBEv4TMxNaE2sTYBM1Eu0SlBI5Ee4RwxHDEe0SORKXEvYTRRN8E5YTmhOOE38TcxNxE3kTiROeE7YTzRPkE/sUEhQqFEMUXBR1FI4UqBTBFNwU+RUWFTUVVBV0FZUVthXZFf4WJBZLFnIWmhbDFu0XGBdFF3EXnRfGF+wYDhguGEsYZxiDGJ8YvBjYGPIZCRkeGTEZQhlSGWAZbBl2GX4ZghmDGYIZfhl4GXAZZxldGVEZRRk5GTAZKBkiGRwZFRkLGPwY6RjTGL0YqRiZGI4YhxiCGHsYcBhhGEwYNRgdGAYX9BfmF9wX0xfKF8AXtRerF6MXoRelF64XuxfJF9MX2RfZF9UXzRfFF74XuRe1F68XqBedF48XgBdwF2EXVRdJFzwXLhccFwYW7xbWFr0WpRaOFncWXRY/FhwV8xXHFZgVaRU8FREU5xS+FJUUaRQ8FAwT2xOtE4MTYRNKEz4TPhNGE1MTXxNnE38TbxNUEzITDxLxEtsSzhLIEsUSwBKzEp4SgBJcEjUSERHxEdgRxRG3EaoRnxGUEYsRhRGDEYgRkRGfEa0RuhHBEcERtxGhEYERUxEbENcQixA7D+oPnA9VDxUO3A6pDnkOSw4eDfQNzA2oDYgNaQ1KDScM/wzSDJ8Magw1C/4LxAuGCz4K7AqRCjAJ0Al4CS8I9wjPCLUIoQiNCHUIVwgyCAoH4ge+B58Hhwd0B2UHWAdNB0IHOQcxBywHKAcnBygHKwcvBzQHOAc8Bz0HPAc6BzcHNAcyBzIHNAc3BzoHOgc2By4HIgcTBwMG8gbjBtYGywbABrYGqgacBosGeAZjBk8GOgYnBhQF/wXoBc4FsAWSBXYFYAVVBVQFXQVsBXsFhgWJBYEFcQVbBUMFLAUYBQUE8ATaBMAEpASKBHQEZgRhBGIEZwRrBGsEZQRbBFEESARDBEMERARCBDkEJwQLA+gDxAOiA4cDdQNrA2YDZANhA1wDVQNMA0IDNwMrAxwDCQLxAtUCtgKUAnACSgIhAfMBwQGMAVYBIwD2ANAAsQCXAIAAaQBSADsAKAAZAA8ACQAGAAH/+v/t/93/yv+0/5v/fv9c/zT/Cf7g/r/+rf6t/r3+2P70/wX/BP7r/rz+e/4v/eD9k/1K/Qb8yPyP/F38NPwV+/778Pvm+9z70vvD+7L7n/uK+3L7Vfsy+wb60/qb+mT6MPoE+eL5yPmy+Zz5gvli+Tz5FPjs+Mf4qPiP+Hr4ZvhS+Dv4IfgD9+T3xfeq95T3hfd893j3d/d193D3Z/db90v3OPck9w729/bf9sX2q/aT9oD2c/Zs9mr2avZn9l/2T/Y49h32AfXn9dP1xfW99bj1tPWu9af1nfWT9Yn1gvV/9YH1h/WP9Zn1ofWm9aX1oPWZ9ZL1jvWQ9Zn1p/W49cb1zvXP9cj1vPWt9Z/1k/WK9YL1ePVr9Vr1RvUx9R31DPT/9Pf08fTs9Of04PTY9M/0xvS99LX0rvSp9KX0o/Sg9J30mvSV9I30gvR09GP0UfQ+9C30H/QV9BD0D/QR9BP0FPQS9A30BfP98/jz9vP69AP0EPQd9Cn0MvQ39Dr0PfRC9Ev0WPRm9HT0gPSI9I30j/SR9JT0mvSh9Kr0svS49L30w/TM9Nn07PUF9SP1QvVi9YD1nPW39dH17PYI9iP2PPZS9mT2cfZ69oH2h/aN9pT2nfan9rP2v/bL9tr26/b/9xr3PPdm95n30/gR+E/4hPir+L74t/iX+GT4Jffm97P3lfeU97H36vg4+JT49vlW+bD6AvpJ+ob6uvrl+wj7JPs7+077XPtp+3P7e/uC+4r7kvuc+6n7u/vS++78Dvwy/Ff8f/yn/M/89v0e/UX9a/2S/br94/4O/jn+Y/6M/rL+1v73/xf/Nf9S/27/h/+e/7H/wf/O/9n/4//u//oACAAYAC0ASQBuAJ8A3AEkAXIBwgIOAlECiQK3AtwC/gMfA0IDaAOQA7gD3QP+BBgELQQ+BEwEVwRiBGwEdQR8BIEEhASHBIkEjQSSBJkEoQSpBLAEswS0BLIErwSuBK8EtQTABNAE4wT5BQ4FIQUxBTwFQwVGBUYFRAVCBUEFQQVEBUcFSgVJBUUFPAUyBSkFIwUlBS4FPgVTBWgFegWGBYwFjAWHBX8FdwVuBWYFXAVRBUUFNwUpBRoFDAUABPQE6gThBNsE2ATYBNsE4ATlBOkE6wTpBOEE1QTEBLAEmwSIBHYEaQRhBF4EXwRhBGMEYwReBFUERgQ0BCAEDgP+A/QD7gPvA/QD/AQHBBIEHQQpBDMEPQRHBE0ETwRJBDoEIAP8A9EDpQN7A1cDOQMiAwwC8wLTAqoCeQJCAgoB0wGhAXYBVAE7AS0BLQE7AVcBfwGuAdsB/wIWAhwCFAICAe8B4AHXAdQB1QHVAdIBygG/AbYBsQG0Ab4BzQHdAesB9AH4AfkB+gH9AgQCDwIcAikCNAI8AkECRAJGAkkCTAJQAlUCXAJjAmoCcQJ3AnwCfwKCAoUCiAKNApUCoAKtArsCygLaAukC+AMHAxYDJQM0A0IDTwNdA20DfgOQA6UDugPPA+ED8gP/BAwEGAQkBDIEQQRQBGAEbgR5BIEEhgSGBIMEfwR7BHkEewSBBIsEmASjBKsErgSrBKUEnQSXBJUEmQSjBLMEyQTlBQkFMgViBZQFxAXrBgQGCQX6BdgFqAVuBS8E8ASzBHoESgQoBBoEJwRTBJ8FBgV/BfsGbQbKBwsHMAc7BzMHHgcBBt4GuAaPBmgGRgYwBioGNwZXBoUGuQbpBw4HIAceBwoG6Aa9Bo4GXgYvBgEF0gWjBXQFRgUbBPYE1gS8BKUEkAR5BGAERAQmBAcD6APKA6wDjgNuA00DLQMOAvMC3ALIArQCoAKHAmsCSwIqAgoB7AHRAbcBnAF8AVgBMQEJAOUAyAC0AKgAogCbAJIAhABwAFgAQQAuAB8AFgAQAAn//P/n/8n/o/92/0T/D/7V/pf+VP4J/bf9Yf0I/LD8XPwM+8T7gvtH+xT66vrK+rT6qPqh+pv6kPp6+lX6Ifnf+ZT5R/j9+Lj4fPhF+BP34vex93/3TPca9uj2t/aH9lb2I/Xx9b/1kPVm9UL1JfUN9Pr06fTY9Mf0tPSg9Iv0dPRe9Eb0LvQW8/3z5fPM87LzmPN7813zPvMf8wLy5/LO8rfyofKJ8m/yU/Iz8hLx7/HM8ajxgvFb8THxBfDY8KvwgPBX8DHwDu/t783vr++U73rvZO9R70DvMe8h7xHu/+7r7tTuvO6i7ofua+5Q7jTuGu4B7evt1+3F7bTtpe2X7Yztg+1+7X3tf+2B7YPtg+2B7X3teO127Xbteu2A7YjtkO2Y7aHtrO287dHt6u4H7iXuQ+5e7nbuju6l7r3u1u7u7wTvF+8l7zDvOe9D71DvYu9475LvsO/Q7/HwFPA38FrwffCd8Lvw1fDu8QfxIvFA8WTxi/G08d7yBfIq8kzybvKT8rvy6PMZ807zgvO18+b0EvQ59F30fvSd9Lv02PT49Rr1QPVp9ZP1vPXi9gH2GPYp9jX2QfZS9mv2j/a+9vX3Mfdu96r34/gZ+FH4i/jL+RL5Xvmt+f76Tvqb+uT7Kvtw+7X7+vxC/Iz82/0w/Y398/5h/tT/SP+3AB0AegDOAR0BbwHHAicCiwLuA0QDhgOuA78DvQOzA60DtAPKA/EEIgRZBJAExQT5BS4FZgWkBecGKwZtBqwG5AcZB0sHfQeyB+cIHAhNCHgInQi8CNoI/gkrCWcJsgoKCmkKyQsiC3ALsAvkDBMMQgx6DL8NEw10DdsORA6qDwkPZA+8EBQQbRDHESERdhHHEhESVxKbEtsTFRNCE1oTUxMsEugSkRI7EfcR1xHiEhcSahLKEyUTaxOVE6QTnRONE34TdhN5E4cTmxOxE8cT2hPtE/8UFBQrFEMUXhR5FJUUsRTOFOwVDBUsFU0VbBWLFaoVyxXtFhMWPBZnFpMWwBbsFxcXQRdqF5MXuhfgGAQYJRhDGF8YehiVGLEYzRjpGQQZHRkzGUcZVhljGWwZcxl4GXoZexl6GXcZchlsGWQZWhlPGUMZNxksGSEZGBkPGQgY/xj2GOsY3xjRGMQYtxirGJ8YkxiFGHQYYBhJGDEYGBgCF/AX4hfYF9EXyxfDF7kXrRehF5gXkxeVF5sXpRevF7UXuBe1F64XphegF5wXmheXF5MXjBeBF3QXZxdbF1IXSxdEFzkXKBcSFvcW2ha9FqQWjRZ5FmQWTBYvFgwV5hW9FZMVaBU8FQ4U3BSnFG8UNhP9E8gTmRNxE1ITPhM1EzcTQhNUE2gTeROCE5kTfhNXEyoS/xLcEsISsxKrEqQSmRKHEm0STBIqEgkR7xHcEc8RyBHCEb0RtxGxEawRrBGxEbwRzRHhEfUSAxIHEf8R6BHBEYoRRhD4EKMQTA/3D6kPZA8pDvYOyQ6gDnYOSw4fDfMNyQ2kDYINYw1EDSMM/gzUDKQMbww3C/oLuAtvCx4KxgppCgsJsgllCSYI+AjYCMIIsAibCIAIXgg1CAgH2wezB5IHeQdpB18HWQdVB1EHSwdDBzoHMgcrBycHJwcqBy8HNQc6Bz4HPwc/Bz0HPAc6BzoHOgc6BzkHNgcwBygHHgcSBwUG9wbrBuAG1wbQBsoGwwa8BrEGpAaTBoAGagZUBj0GJAYJBesFywWrBY4FeAVqBWUFaAVuBXQFdgVyBWgFWgVMBT4FMgUnBRkFBwTuBNEEswSXBIQEegR6BIAEhwSJBIUEeQRpBFkETARGBEUERgRFBD0ELQQUA/QD1AO2A54DjgODA3sDdANrA2ADVANHAzoDLAMcAwgC7wLTArQClQJ4Al4CRAIoAgYB3AGqAXMBPQEKAN8AvQCgAIYAawBNAC0ADf/x/9v/zP/C/7r/sf+m/5j/iP94/2f/U/86/xz++P7T/rT+ov6i/rX+0/71/w3/Ev79/s7+i/47/en9mf1Q/Q780vyc/Gz8Qvwh/Aj7+Pvt++T72vvN+7v7pvuM+277Sfsd+uj6rPps+i359PnF+aD5hvlx+V/5Svkw+RH47/jM+Kv4jvh0+F74SPgx+Bj3+vfa97f3lfd39173TvdF90P3RfdG90P3O/ct9xn3Afbo9s32svaX9n32ZPZP9j72NPYu9i32K/Yn9h32DfX29dz1wvWq9Zf1iPV99XT1bPVj9Vr1UPVG9T31N/Uz9TP1NvU89UX1TvVW9V31YfVi9WP1ZfVp9XD1efWA9Yb1hvWB9Xj1bvVk9V31WPVW9VL1TPVA9S71GPUB9Or01/TI9L70t/Sz9K/0q/Sm9KH0m/SX9JT0k/ST9JT0lPSS9I70hvR69Gv0WPRD9C30F/QD8/Hz4/PZ89Pz0PPR89Pz1fPW89Tz0fPO88vzzfPT897z7PP79Ar0FvQg9Cj0MPQ59ET0UPRc9Gf0cPR39Hz0gPSG9I70l/Se9KT0pfSj9KD0nvSi9K30wPTb9Pv1HfVA9WH1gfWg9b/13/X+9hv2NfZJ9ln2Y/Zp9m72cvZ29nv2gfaI9pH2nPar9r721/b39x73S/d+97X37vgl+FX4ePiK+IX4avg69/33vPeD9133Ufdl95j35vhG+LH5HfmD+eD6Mfp2+q/63fsD+yL7PPtS+2b7evuN+6D7s/vE+9b75/v6/A78Jfw//Fz8e/yd/MD85P0J/S/9VP14/Zz9v/3j/gn+Mv5e/o7+v/7v/x7/SP9u/4//rf/H/9//9QAJABwALAA7AEkAVwBmAHcAigCgALsA3gEIAT0BewG/AgcCTAKMAsIC7QMQAysDQwNbA3UDkgOwA9AD7gQLBCcEQARXBG0EgQSUBKQEsQS8BMMExwTJBMkEyATIBMkEzATSBNgE3QTiBOUE5gToBOsE7wT3BQEFDgUdBSwFPQVNBVwFagV2BX4FhAWHBYoFjgWSBZcFnAWfBZ0FlQWJBXsFbwVoBWoFdAWFBZkFrAW7BcIFwQW4BagFlAV+BWgFUgU+BSwFHQUPBQQE+wTzBO4E6wTrBO4E9gUDBREFIAUrBTEFLwUkBREE9gTWBLUElAR4BGIEVARMBEoETARPBFAETQRGBDoEKgQaBAoD/QP1A/ID9QP9BAkEGAQnBDYEQwRNBFUEWgRfBGEEYQRcBE8EOAQWA+sDugOHA1YDKwMEAuACvAKTAmQCLwH2AbwBhgFWAS4BDgD5AO8A8wEIAS8BZAGiAd8CEgIyAjsCLwIWAfcB3AHLAcQBxQHKAcsByAHAAbYBrwGtAbIBvQHLAdgB4gHqAfAB9gIAAg4CHgIvAkACTQJXAl0CYQJjAmYCaAJrAm0CbwJyAnUCeAJ9AoEChQKIAooCjQKRApkCpAKzAsYC2wLxAwYDGwMvA0EDUANfA2sDeAOEA5IDoQOzA8cD2wPuBAAEDwQcBCgEMgQ9BEkEVQRiBG8EewSFBI4ElgScBJ8EogSkBKcEqwSxBLkEwATFBMcExAS9BLMEqQSiBKIEqQS4BM8E7AUQBTgFZgWXBccF8wYUBiQGIAYFBdYFlQVJBPcEpQRZBBYD4QO/A7cDzQQCBFUEvwU3BbAGHwZ8BsUG+AcZBywHMwcwByEHBQbfBrQGiQZoBlkGYAZ9BqoG3wcRBzcHSgdLBzoHHgb8BtgGtAaPBmcGOgYFBcsFjwVUBR8E9ATSBLgEpASSBH4EZwRNBDAEEQPyA9MDsgORA20DSgMnAwgC6wLTAr0CqAKQAnYCWgI8Ah8CAgHnAcsBrgGNAWgBQAEYAPQA1wDCALQAqgCiAJYAhgBxAFkAQgAsABoACf/4/+T/y/+s/4j/YP84/xD+6P6//pL+Xf4f/df9hf0t/NL8efwj+9T7jPtM+xX65/rC+qj6lvqJ+n36a/pQ+if58Pmv+Wb5G/jV+JT4W/go9/j3yveb92v3O/cK9tr2qfZ49kb2E/Xg9a31fvVT9S/1EfT49OL0z/S79Kf0kvR89Gb0UPQ59CL0C/P0893zxPOr85HzdfNY8zrzHfMC8uny0vK/8qzymfKE8mzyUfIy8hHx7/HL8abxf/FW8Srw+/DM8J3wcPBH8CLwAe/k78nvsO+Y74Lvbu9d70zvPe8t7xvvBu7u7tPute6W7nbuV+457h3uAu3q7dPtve2o7ZPtf+1t7V3tUe1J7UftSO1L7U3tTu1L7UftQe087TrtPO1B7UntU+1f7W3tfu2T7aztye3o7gfuI+497lPuZ+567o3uoe617sju2e7n7vPu/+8N7x/vNO9N72rviO+o78jv6PAI8CfwRvBj8IHwnvC88NzxAfEq8VbxhfG08eDyCfIv8lPyd/Kc8sXy8PMe807zfvOw8+H0FPRH9Hn0qvTX9QD1JvVJ9W31k/W99er2GPZD9mb2ffaH9ob2f/Z39nf2gvab9sL29Pcr92L3lvfG9/P4H/hO+IL4vfj/+Uf5lPnl+jn6kPrq+0X7ovv+/Fv8uP0X/Xr94/5T/sb/N/+jAAMAVwChAOgBMgGIAewCXALNAzQDhQO3A8oDxAOwA54DmAOmA8gD+gQzBG0EowTXBQoFPwV7Bb4GBwZQBpYG1wcRB0gHfAexB+gIIQhZCI0IuwjiCQIJHwk+CWUJmgneCjIKkArxC04LnwvgDBIMOwxhDI4Mxw0PDWYNxw4uDpgPAg9rD9QQOhCcEPkRThGaEd8SIRJiEqIS3hMPEysTKxMLEtAShRI9EgkR9xIMEkQSlBLpEzUTahOGE4wThRN5E3ITdROBE5QTqhO/E9IT4xP0FAYUGxQzFE0UaBSDFJ4UuxTZFPkVGxU+FV8VgBWfFb4V3hYBFikWVRaEFrUW5RcUFz8XZxeNF7EX1Bf3GBgYORhZGHcYlBiwGMsY5hkAGRkZLxlDGVMZXxloGWwZbxlvGW4ZbBloGWQZXxlYGU8ZRhk7GTAZJhkcGRQZDBkDGPoY7xjkGNcYyxi+GLIYphiZGIsYexhqGFcYQxgvGBoYBxf0F+QX1RfIF7wXsRelF5kXjReDF30Xexd+F4YXkReaF58XoBebF5QXjBeGF4IXfxd6F3MXZxdYF0gXOxc0FzEXMhcyFywXHRcFFuYWxBakFokWchZeFkkWLxYQFesVwxWaFXEVSBUdFO4UtxR6FDkT+RO+E40TZxNPE0MTQRNIE1cTaxOCE5YTpBOmE6oTghNQExoS5xK+EqESjxKEEngSZxJQEjQSFRH6EeYR3BHbEd8R5hHqEekR4xHZEdARyRHIEc8R3RHvEgISDxISEgUR5xG2EXQRJRDOEHQQHg/OD4cPSw8XDukOvw6VDmoOPQ4PDeINtw2PDWsNSg0pDQcM4wy6DI4MXAwlC+gLpAtYCwUKrgpVCf8JsAlsCTQJCAjkCMYIqQiKCGcIPwgTB+cHvAeWB3kHZAdYB1QHVQdYB1kHVwdRB0gHPwc3BzIHMQczBzcHOgc6BzcHMgcqByIHGwcWBxMHEgcRBxAHDgcLBwgHBAb/BvkG8QbpBuAG2AbQBsoGwwa8BrIGpQaWBoUGcwZhBk8GOwYlBgsF7QXLBaoFjAVzBWIFWAVRBUwFRAU7BTAFJwUiBSAFIQUiBR4FEgT8BOAEwgSoBJYEkASSBJkEnwSfBJYEhgRyBF8EUQRKBEgESARGBD4ELwQYA/wD4APHA7QDpQOaA48DhAN2A2cDVwNIAzoDLQMeAwsC8wLXArgCmwKBAmwCWQJGAiwCCQHcAaYBbQE2AQcA4ADBAKUAiABmAEAAGP/x/8//tf+g/5D/gf9x/2D/UP9B/zP/Jf8T/vz+3/7A/qX+lf6X/qz+zv70/xH/Gf8G/tn+lv5I/ff9q/1l/Sf87vy4/Ib8WPwy/BX8APvz++n73vvP+7r7oPuA+1r7Lvr7+sH6gfo++f35wfmP+Wj5Tfk5+Sn5GPkF+O340vi1+Jj4ffhj+Ev4M/ga9/733ve695T3bvdM9y/3HPcR9w73D/cQ9w73Bfb19t32wfah9oL2ZPZI9jD2HPYO9gX2AfYA9gD1/fX29ej11PW89aL1ivV19WT1VvVK9UD1NfUr9SH1GPUR9Qr1BvUC9QH1AvUH9Q71GPUj9S71OPVA9Ub1S/VP9VH1UfVM9UL1M/Uh9Q30/fTy9O/08/T69QL1BvUD9Pj05/TS9Lz0qfSZ9I/0ifSH9If0h/SG9IX0gvR+9Hv0efR49Hj0d/Rz9Gv0XfRJ9DD0E/P189rzwvOu857zk/OK84TzgfOA84HzhPOI84vzj/OS85XzmvOi863zu/PL89zz7PP99Az0G/Qq9Dn0RvRR9Fr0YPRk9Gj0bvR29H/0ifSQ9JT0k/SP9Iv0ifSM9Jf0qvTD9OH1AfUi9UT1ZvWK9a/10vXz9g/2JPY09j72RfZK9lD2VvZc9mP2afZu9nX2f/aN9qL2v/bi9wv3Ofdq95z3zvf7+CH4PPhH+ED4KPgC99T3pveD93P3ffei9+H4NfiX+P/5Z/nH+h76afqn+tr7A/sk+z/7V/tt+4X7nvu5+9b78vwO/Cn8Qvxa/HH8iPyh/Lr81Pzv/Qz9K/1M/W/9k/23/dv9//4k/kn+cv6f/tD/A/84/2r/mf/C/+YABQAgADkAUABlAHoAjACcAKsAuADHANcA7AEIAS0BWwGTAdICFgJbApsC0wMCAygDRgNfA3UDjAOjA7oD0APlA/gECgQeBDMESwRkBH8ElwStBMAEzwTcBOYE7QTzBPYE9wT3BPcE9wT4BPwFAQUJBREFGQUiBSsFMwU6BUAFRgVMBVIFXAVoBXcFiAWZBagFswW5BboFugW7BbwFvwXCBcMFwAW6BbEFqQWkBaYFrwW/BdEF4gXuBfEF6wXbBcQFqQWLBWwFTwU1BR8FDAT+BPQE7QTqBOsE8AT7BQwFIgU8BVUFawV5BXoFbQVTBS0FAATRBKQEfQRfBEwEQwRBBEQESQRLBEoERAQ5BCwEHwQUBA4EDAQQBBcEIQQtBDkERgRRBFkEXgReBFwEWARTBFEEUAROBEkEPAQjA/wDygOQA1MDGALiArACgQJSAh8B6gGyAXsBSAEcAPYA1gC/AK8ArQC6ANsBEQFWAaMB6wIiAkICRgI1AhUB8gHVAcIBugG5AbsBugG2Aa4BpAGdAZkBmgGfAacBsQG9AcwB3gHzAgsCIwI5AksCWQJiAmoCcQJ3An4CgwKHAocChgKFAoQChQKKApECmQKgAqYCqgKvArUCvwLNAuAC9gMPAygDQANWA2kDegOIA5QDoAOrA7cDxQPVA+cD+gQMBB0ELQQ6BEYEUQRbBGQEbgR3BIAEiASRBJkEowStBLcEwATIBM8E1ATZBNwE4ATiBOIE4ATbBNMEzATHBMYEzQTcBPIFDwUxBVYFfAWhBcUF4wX6BgYGAwXwBcwFlgVRBQAEpwROA/kDswOBA2wDdwOkA+4EUAS/BTIFngYABlUGngbeBxQHPwddB2kHYQdGBx0G7wbGBqsGpAawBswG7wcPByYHMActByAHEAcBBvUG7QbkBtUGuQaPBlQGDQXABXUFMQT7BNMEtwSjBJMEgwRvBFcEOgQaA/cD0gOrA4MDWQMvAwgC5ALEAqkCkQJ8AmcCUwJAAisCFgH+AeMBxQGiAXwBVAEvAQ0A8gDcAMoAuQCnAJIAegBfAEYALgAZAAb/9P/e/8L/n/93/0v/H/73/tX+tv6Z/nj+UP4b/dn9i/0z/Nj8ffwm+9b7jvtO+xf66PrB+qL6h/pw+lf6OfoR+eD5pPli+R742/ie+Gj4OPgN9+P3uPeK91v3Kfb29sL2jvZa9ib18/XB9ZH1ZvVA9R/1AvTo9ND0t/Sf9If0b/RY9EL0LfQY9ALz7PPW877zpvOM83PzWPM+8yPzCfLy8tzyyfK38qfylvKE8nDyWPI88h3x+vHU8azxgfFT8STw9PDE8JbwavBC8B/wAO/k78zvtu+i747vfO9p71fvRe8x7xvvA+7o7sruq+6L7mvuTO4v7hPt+u3h7cntse2Z7YDtZ+1Q7TvtKu0e7RjtFu0W7RjtGO0V7Q/tCe0C7P/tAO0G7RLtIu027UztZe2B7Z7tvO3a7ffuEe4n7jvuTO5b7mnud+6F7pLun+6s7rruyO7a7u7vBe8f7zvvWO9275Xvte/V7/bwFvA18FTwc/CU8Ljw4fEO8T7xbvGd8cfx7vIR8jPyVfJ68qHyy/L18yHzTfN786zz4vQc9Fr0mfTV9Qv1O/Vl9Yz1svXd9gv2PPZs9pX2sfa+9rv2rfaZ9on2gvaJ9qD2xPby9yT3VPeB96n3z/f1+B34Svh9+Lf4+flD+Zb58vpX+sP7NPum/Bf8hvzx/Vz9yf43/qb/Ev93/9EAHwBjAKUA7AFBAagCHgKYAwoDZgOiA7oDtgOhA4oDfwOJA6kD2gQVBFIEiwS/BPAFIgVYBZYF2gYiBmoGrwbwBy4HZwegB9oIFQhRCIsIwgjyCRoJOglXCXUJmwnOChIKZQrCCyELeAvBC/gMHww+DF4MiAzCDQ8NbA3VDkUOtw8nD5MP+BBVEKkQ8xE2EXURtRH3EjsSfRK0EtUS2hLBEpISWBIlEgkSDBIxEm8SuhMCEzoTXRNrE2sTZhNjE2cTdBOHE5wTsRPDE9QT5hP6FBEULBRIFGMUfhSWFK4UyBTjFQIVIxVGFWoVjRWwFdQV+RYhFkwWehaqFtsXChc2F2AXhheqF80X7xgQGDIYVBh2GJcYtxjUGPAZCRkfGTMZRBlTGV4ZZxlrGWwZaxloGWMZXhlYGVIZSxlDGTkZLhkjGRkZERkKGQQY/Rj1GOkY2xjKGLgYphiVGIUYdRhlGFUYRBg0GCUYGBgMGAEX9BfmF9UXwxexF58XjxeCF3cXbxdpF2cXaBdtF3UXfxeGF4oXiReDF3sXchdrF2UXXxdXF0sXORckFxAXAhb9FwEXChcSFxMXCBbyFtIWsBaPFnUWXxZMFjUWGBXzFcgVmxVuFUUVHhT1FMcUkRRTFBIT0xOdE3UTXhNVE1gTYxN1E4kTnxOzE8MTyRPCE6MTdRM+EwQS0BKnEosSehJtEl8STBIyEhUR+BHjEdgR2hHkEfQSAhILEgoSARHyEd8RzRHCEb4RxBHREeAR7RHwEeURxxGWEVURBxCyEF4QDQ/ED4MPSQ8UDuEOrw59DksOGg3qDb0NlA1tDUcNIgz9DNgMsQyJDF8MMgwBC8kLiAtACvAKnQpJCfoJsglzCTwJDAjhCLkIkghrCEMIHAf1B9AHrAeNB3MHYQdVB1EHUwdXB1sHXAdbB1YHUQdMB0kHSQdIB0UHPwczByEHDAb2BuAGzwbCBroGtwa3BrkGvQbCBsgGzgbUBtcG1wbUBs8Gxwa+BrUGqgadBo4GfgZsBlsGTQZBBjkGMgYoBhgGAAXhBbwFlgVzBVUFPQUqBRoFCwT8BPEE6gTqBPEE/QUIBQ4FCgT7BOMExwStBJsEkwSSBJYEmgSYBI8EgQRxBGIEVwRRBE4ESwRFBDgEJQQNA/MD2wPHA7gDrQOjA5kDjAN7A2cDUwNBAzIDJQMZAwsC+QLiAsgCrQKWAoICcgJiAk0CLwIGAdQBnAFmATYBDwDxANcAvACdAHcATAAf//T/zv+t/5H/dv9d/0T/Lf8b/wz+//7x/t7+xv6r/pP+hv6K/qD+xP7q/wj/Ef7//tL+kf5F/fj9sf1x/Tf9APzK/JX8ZPw6/Bn8A/v0++j72PvD+6b7gvtY+yr6+frE+ov6T/oR+dP5mvlp+UL5JPkP+P347fjb+Mf4r/iV+Hv4YvhJ+DL4GvgA9+P3wved93T3TPcn9wj28/bm9uP24/bk9uL21/bF9qr2ifZk9j/2HfX/9ej12fXR9dD11PXY9dv11/XM9bj1n/WD9Wf1TvU69Sn1HPUR9Qj0//T49PL07fTp9Ob04vTe9Nr02fTc9OP07vT79Qn1FvUh9Sn1MPUz9TP1LvUh9Q308fTR9LH0lvSE9H/0hPSR9KH0sPS59Lr0s/Sn9Jf0iPR79HL0bfRt9G/0cvR09HP0b/Ro9GD0WfRS9E70SfRC9DX0IfQG8+PzvfOY83fzXPNJ8z3zNfMx8y/zL/Mx8zXzPPNF80/zWfNh82nzb/N2837ziPOV86bzuvPQ8+bz/fQT9Cf0N/RD9Ev0UPRU9Fj0XfRk9Gv0c/R69H70gPSB9IP0iPSR9J70rvTC9Nf07/UK9Sj1S/Vx9Zn1vvXd9fX2BfYO9hT2GPYe9ib2MPY49j/2RPZH9kv2VPZi9nf2k/a29tz3Bvcx91/3jPe49+H4AvgY+CL4HvgP9/r35/fc9+D39/gk+GT4svkK+WX5v/oS+l36nvrW+wP7KftJ+2P7fPuW+7H7z/vw/BP8N/xa/Hv8mfy0/M385Pz4/Qz9IP00/Uv9ZP2C/aT9yv3y/hv+Rf5v/pn+xf7y/yH/Uf+B/7D/3AAEACkASgBoAIUAoAC5ANAA4wDzAQABCQETAR8BMgFQAXoBsgH0Aj4CiALNAwcDNANUA2wDgAOVA6wDxwPiA/sEDwQdBCcEMAQ7BEsEYQR7BJUErQTBBNAE2wTmBPEE/QUJBRQFHAUgBSAFHwUdBR4FIgUpBTQFQgVQBV8FbAV2BXwFfgV+BX4FgAWHBZMFpAW3BcgF1QXaBdoF1gXSBc8F0AXTBdcF2wXeBd8F4AXkBewF+AYHBhQGHQYfBhgGBwXvBdIFswWSBXEFUwU2BR0FCAT4BO0E6ATpBPEE/gURBSsFSQVoBYUFmwWmBaIFjgVrBT0FCQTTBKEEeARbBEsERQRIBE8EVgRaBFkEUgRIBD4ENgQyBDUEPQRIBFMEXQRjBGUEZARgBFkEUARGBDoELwQoBCYEKgQxBDYENAQlBAMD0AOPA0cC/wK9AoICTwIeAe0BugGEAU0BGgDrAMMAnwB/AGQAUQBKAFgAfQC8AQ0BZgG7Af4CJwI0AikCDwHwAdQBvwGyAaoBpQGfAZcBjQGEAXwBdwF3AXwBhwGYAbABzAHsAgsCJwI+Ak8CWwJkAm0CdwKDApACmwKiAqQCogKeApsCnAKiAqwCuQLFAtAC1wLdAuMC6gL2AwYDGwMyA0oDYgN5A4wDngOsA7kDxQPPA9oD5wP0BAQEFAQmBDYERgRUBGEEbAR2BH8EhwSOBJMEmQSfBKcEsgS/BM4E3QTqBPQE+gT9BP8FAQUEBQcFCgULBQkFBQUABP0E/wUIBRoFMgVOBWwFhgWdBa8FvQXJBdIF1gXSBb8FmgVfBQ0EqQQ5A8oDaAMfAvoC+wMkA20DzgQ7BKsFFwV7BdgGLgaABswHDwdEB2gHdgdvB1cHNgcVBvoG7AbrBvMG/wcIBwsHBAb2BuUG1gbPBtEG3AbsBvgG+gbpBsMGhwY6BeUFkQVFBQkE3QS/BKsEmgSIBHEEVQQyBAwD4wO4A40DYQM1AwoC4QK8ApwCgAJqAlcCSAI6AisCGwIGAe0BzwGuAYoBaAFJAS0BFQD/AOgAzgCvAIwAZgBCACEACP/0/+X/1//E/6r/h/9d/y//Af7Y/rX+mP59/l3+Nf3+/bn9aP0O/LL8WfwI+8H7g/tN+x769frP+q36jPps+kj6H/nu+bb5ePk2+Pb4uviE+FT4KfgA99b3qvd790n3FPbf9qn2c/Y99gj11vWm9Xv1VfUz9RX0+PTd9MH0pfSJ9G/0VvRA9Cv0F/QD8+7z2PPB86rzk/N882bzT/M58yPzDfL48uTy0fLA8q7ynfKL8njyYfJF8iXyAPHW8afxd/FH8Rfw6vC/8JfwcvBO8C3wD+/z79rvxO+w75zviO9071/vSO8x7xju/u7j7sjuqu6N7m7uT+4x7hLt9e3Y7bztoe2H7W3tVe0+7SjtFu0I7P7s+Oz17PPs8ezt7Ofs3+zZ7Nbs2Ozh7PHtCO0j7UDtX+197Zrttu3Q7ejt/u4S7iTuM+5A7kvuVe5d7mbub+567ojume6s7sLu2e7x7wrvJe9B72Hvg++o783v8vAW8DfwWPB68KDwyfD38SfxVfGA8abxxvHh8fzyGfI68mDyifK18uPzEPM/83HzpvPh9CH0YvSi9N31EfU+9Wb1jfW29eT2FvZI9nb2mvaw9rf2sfaj9pT2ivaL9pn2s/bW9v/3KPdQ93X3mPe599z4APgp+Ff4jPjL+RT5afnM+jv6s/sx+7D8Lfyn/R79kf4D/nP+3f8//5X/4AAiAGEApgD4AVwBzwJHAroDGQNcA34DhAN6A2wDZwNzA5MDwgP6BDUEbQSiBNMFBAU4BXAFrgXxBjYGfAbCBwYHRweGB8MH/Qg3CHAIqAjdCQ4JOglgCYIJpgnQCgUKSAqWCukLOguBC7kL4wwDDCIMSAx9DMMNGQ17DeQOTQ6zDxIPaA+1D/kQOBB2ELgRAxFXEa8SAxJIEnISfRJqEkMSGRH8EfkSFxJPEpcS3xMaEz8TThNOE0cTQxNIE1YTahOBE5YTqBO4E8oT3xP5FBgUOhRbFHkUlBSrFMEU2RTyFQ8VLxVSFXgVnhXHFfEWHhZLFnoWqRbWFwIXLRdVF3wXohfHF+sYDhgwGFIYdBiVGLYY1RjyGQwZIxk2GUUZUhldGWUZahltGWwZZxlhGVkZURlJGUEZORkwGSUZGRkNGQIY+BjxGOoY4hjYGMoYuBikGI4YeRhkGFEYPxgtGBsYChf6F+8X5xfhF9wX1RfKF7oXqBeUF4IXdBdrF2UXYRdfF10XXRdeF2EXZRdpF2sXaRdkF1wXUxdLF0QXPRcyFyIXDRb1Ft8W0RbNFtQW4RbtFvIW6hbVFrYWlRZ3FmAWTxY/FioWCxXhFa8VexVJFRwU9RTOFKQUcRQ4E/wTxBOXE3oTbhNwE3wTjROfE7ATvxPME9MT0RPCE4ITVBMeEugSuRKVEn8ScRJnElkSRRIqEgsR7RHYEc8R0hHfEfESARIMEg8SCBH5EeYR0xHCEbgRthG6EcIRyBHGEbcRlhFkESQQ2hCMED8P+A+2D3gPPg8EDskOjQ5RDhgN4g2yDYYNXg05DRMM7AzEDJwMdQxPDCkMAgvXC6ULaQskCtcKhgo1CegJoglkCS0I+wjNCKEIdwhRCC0IDQfwB9UHugefB4cHcQdgB1UHUAdRB1QHWQddB2AHYQdhB2EHXgdXB0sHNwccBvoG1QawBo8GdAZgBlQGTgZOBlMGWwZlBnIGgAaOBpkGogamBqYGowadBpQGiAZ4BmUGTwY5BiUGFQYNBgsGDQYOBgkF+wXiBcAFmQVxBU0FLQUSBPoE4wTPBL4EtQS1BL8E0QTjBPIE9gTuBNsEwwSpBJUEiQSEBIMEgwSBBHsEcwRpBGAEWgRUBE4ERQQ3BCQEDAPyA9oDxgO3A60DqAOiA5sDjgN8A2UDTQM2AyIDFAMJAv4C8wLjAs8CuQKiAo4CfQJtAlsCQQIeAfIBwAGNAWABOwEfAQkA8wDaALoAkgBlADgADP/i/7v/lv9x/03/Lf8S/v3+7P7d/sv+tv6f/ov+gP6F/pr+vP7g/vz/Av7v/sH+gP41/ej9ov1i/Sj88vy7/If8V/wv/BL7/vvv++D7y/us+4P7Uvse+un6tvqE+lL6H/nr+bX5gvlT+Sr5Cfjv+Nj4xPiv+Jr4gvhq+FL4Ovgk+A339vfc97/3nfd491D3KfcG9uv22PbN9sr2y/bK9sX2ufaj9oT2XvY09gr14fW/9aX1lvWR9ZT1nfWl9an1pfWW9X/1YvVC9ST1CvT19OT01/TN9Mb0wPS+9L30vfS99Lv0tvSw9Kr0p/Sp9LD0u/TJ9NX03/Tm9Or07vTx9PL08PTo9Nj0vvSd9Hn0V/Q99C/0LfQ29Eb0WfRq9Hf0f/SA9Hz0dvRu9Gb0YPRc9Fv0WvRX9FL0SfQ89C30H/QT9Ar0AvP58+vz1fO285DzZfM78xby+vLo8t/y3fLf8uTy6/Lz8v7zC/Mb8yvzOfNG807zU/NW81rzX/Np83nzjfOl88Dz3PP19Az0H/Qu9Dn0QvRJ9E/0VfRZ9F30YPRi9GX0avRx9Hz0ivSa9Kr0uPTG9NP04/T49RT1N/Ve9Yb1qvXG9dn14/Xo9ez18fX59gP2DPYS9hP2EfYN9gz2EPYd9jL2TvZv9pP2u/bl9xT3R/d997P35vgR+DD4QfhH+Ef4RvhL+Fv4e/ip+OX5LPl3+cT6D/pU+pL6yfr4+yH7RPtj+4D7nPu5+9j7+vwf/Ef8b/yY/L784v0C/R39Nf1J/Vv9bP1+/ZL9qf3G/ej+D/46/mj+l/7H/vb/I/9Q/3v/pf/N//UAGwBAAGQAhwCoAMcA5AD+ARUBJwE1AT4BRQFLAVMBYwF+AacB3wIkAm8CuwMAAzgDYQN+A5MDpgO7A9UD8wQRBCoEPARHBE0EUwRdBG8EhgSgBLgEywTYBN8E5ATrBPcFBwUaBSwFOgVBBUMFQAU9BTsFPQVDBU0FWgVpBXkFiAWUBZ0FogWkBaQFpgWrBbUFxAXVBeUF8QX3BfgF9gX0BfQF+AX+BgcGDwYXBh0GJAYtBjgGRAZPBlQGUgZGBjEGFQX1BdMFswWUBXYFWQU9BSQFDwT/BPYE9QT6BQYFFwUrBUIFWQVxBYUFlAWbBZgFiQVuBUkFHQTtBL8ElQR0BF8EVgRXBF8EagRzBHgEdgRwBGgEYgRgBGMEbAR1BH0EfwR6BG4EXQRIBDQEIAQPBAID+AP1A/gEAQQNBBcEGAQIA+UDrQNmAxYCxwKAAkQCEgHlAbgBhgFQARYA3gCpAHsAUwAuAAv/6//T/8r/2AADAEkApAEIAWgBtwHsAgcCCgH8AecB0AG8AasBngGSAYcBfAFyAWsBaAFpAXEBgAGWAbMB1QH5AhsCOAJOAlwCZQJsAnQCfwKOAp4CrAK3ArwCvAK5ArYCtwK+AskC2ALoAvUDAAMIAxADGAMjAzIDRANZA28DhQOZA6wDvQPMA9oD5wPzA/4ECgQWBCMEMQQ/BE0EWgRnBHQEgASLBJUEngSmBKwEsgS6BMME0AThBPQFBwUYBSQFKgUsBSsFKgUsBTEFNwU+BUEFQQU8BTcFNQU5BUUFWQVwBYcFmQWkBaoFrQWyBboFwwXIBb4FnQVcBPoEfAPwA2YC8QKfAnwCiAK+AxQDfAPpBFIEsgUIBVYFoQXpBjAGdAayBuQHBwccByQHIwcdBxcHFAcUBxYHFgcRBwUG8AbTBrIGkgZ5BmwGbgZ+BpgGtAbHBsoGtQaIBkgF+gWrBWEFJAT0BNEEtQSbBH8EXwQ5BBAD5gO7A5ADZwM/AxgC8gLOAq0CjwJ1Al4CSgI3AiQCEAH5AeABxAGmAYkBbgFVAT8BKgESAPcA1QCsAH4ATgAi//z/4P/O/8P/uv+u/5r/ff9W/yn+/P7S/q/+kP5z/lH+Iv3l/Zb9PPzb/H38KPvg+6X7ePtS+zD7D/rt+sr6pvp/+lX6Jvny+bj5e/k8+P74w/iN+Fz4Lff/99D3n/ds9zj3BPbP9pz2aPY19gP10/Wl9Xz1VvU09RP09PTV9Lb0mfR99GT0TvQ59Cb0EvP98+fz0fO786fzlPOC83DzXvNM8znzJfMS8v7y6vLW8sLyrfKX8n/yZfJG8iPx+fHL8ZnxaPE58Q7w6fDI8KvwjfBv8E/wL/AQ7/Tv2+/E76/vmu+E72zvUu847x3vA+7o7s/utO6Y7nvuW+457hft8+3R7bDtku137WDtTO057SjtGO0K7P3s9Ozs7Ofs4+ze7Njs0uzN7Mvsz+za7O3tBu0k7UTtY+2B7Zvts+3I7dzt7u3/7g/uHe4o7jHuN+497kPuSe5T7mDuce6G7pzutO7L7uTu/e8a7zrvXu+F763v1O/68B7wQfBl8Izwt/Dl8RTxQPFm8YXxm/Gt8b3x0PHq8gzyN/Jo8p3y0vMG8zrzbvOl8930GPRT9Iz0wPTw9R31R/Vy9aD10fYD9jP2XfZ99pL2nPaf9p72oPan9rb2zfbr9wz3LvdP9233ifej97332ff4+Bz4Rvh5+Lb5AflZ+cD6M/qw+zP7ufw//MP9Q/3A/jf+pf8H/13/p//nACQAZgCyAQ0BdQHiAkwCpwLsAxkDMQM7A0IDTQNjA4QDrwPfBBIERQR3BKsE4AUYBVIFjwXNBg4GUgaXBt4HJQdoB6YH4AgUCEgIfAizCOwJIwlYCYcJsgncCggKPAp3CrkK/As7C3ELngvDC+YMDgw+DHwMxQ0WDWwNwg4TDl4Onw7ZDw8PRg+FD9MQNBCkERsRjRHoEiISNRInEgYR5hHaEewSHxJoErgS/BMqEz0TOhMsEx4TGRMiEzYTTxNpE38TkhOlE7oT1RP2FBsUQBRjFIIUnhS3FNAU6hUHFScVSBVrFZAVuBXjFhEWQhZ0FqUW0xb+FyUXSxdxF5cXvhfmGA0YMRhUGHQYkhiwGM0Y6RkDGRoZLhk9GUkZUhlaGWAZYxlkGWAZWRlQGUUZOhkxGSkZIRkZGQ8ZAxj2GOgY2hjPGMQYuRisGJ0Yixh2GGEYTRg6GCgYFxgGF/QX4hfSF8YXvhe5F7UXsBenF5oXihd5F2wXYxdfF10XXRdaF1UXTxdKF0cXRxdKF0wXTRdJF0MXOhcyFyoXIhcYFwoW9xbhFswWvha5Fr4WyBbRFtIWxxauFo4WbRZTFkIWORYwFiEWBRXaFaQVahUyFQIU2RSzFIwUXhQrE/cTyBOlE5MTkROaE6kTuBPDE8kTzBPLE8cTuxOlE1ETJRL1EscSoRKFEnQSahJgElISPBIeEfwR3BHFEbkRuRHDEdMR5RHzEfwR/xH8EfQR6RHfEdYRzxHLEcYRvBGpEYkRWhEeENgQjxBHEAQPyA+QD1oPIw7oDqkOZw4lDeUNqw12DUgNHgz2DNAMqgyFDGAMPQwbC/oL1wuvC4ALRgsDCrcKZwoWCcoJhQlICRII4gi1CIsIYwhACCEICAfyB94HyQezB5wHhAduB10HUgdOB1AHVgdfB2cHbgdyB3AHaQdaB0MHIwb7Bs8GoQZ1Bk8GMAYaBgwGBAYDBgUGCwYTBh8GLAY7BkoGWAZkBm0GcwZ2BnQGbgZiBlAGOQYfBgYF8gXmBeMF5wXtBfAF6wXcBcIFoQV8BVYFMgUQBPAE0AS0BJwEjgSLBJUEqAS+BNEE2wTZBMsEtQSeBIoEfAR1BHMEcwRyBG4EaQRiBFsEUgRJBDwELAQXBAAD6QPTA8EDtAOsA6kDpwOlA58DkgN/A2UDSAMrAxIC/wLyAuoC4gLYAsoCuAKiAo0CewJqAlkCRAIoAgMB2AGqAX8BWwE/ASoBGAEEAOoAyQCjAHoAUAAm//3/0v+m/3n/T/8p/wr+8v7e/sv+tv6h/o/+hP6I/pv+uf7a/vL+9v7g/rH+bf4f/c79gv0+/QD8x/yT/GP8Ovwa/AT79Pvl+9H7svuI+1P7GPrc+qT6dPpI+iH5+PnO+aH5c/lF+Rv49vjV+Ln4n/iI+HD4WfhC+Cv4FPf99+X3zPew95H3b/dL9yj3B/br9tb2yfbB9r72u/a29qz2m/aB9l/2N/YK9dz1r/WI9Wr1WPVS9Vb1X/Vo9Wz1Z/VY9T/1IvUD9Ob0zvS69Kn0nPSQ9Ij0g/SB9IP0hvSI9If0g/R99Hf0dPR39H70iPSS9Jj0mPSU9I30iPSH9Ir0kPSU9JP0iPR09Ff0N/QZ9AHz8/Pw8/f0BvQZ9C/0RPRU9F/0Y/Ri9Fv0U/RJ9ED0NvQs9B70DvP68+Tzz/O987DzpfOc84/zevNe8zrzEfLp8sbyrfKd8pjym/Kk8rDyvvLN8t7y8PMC8xTzI/Mw8zjzPPM+8z/zRPNN81vzcPOI86PzvvPX8+70AvQU9CT0M/RB9Ez0U/RW9Fb0UvRP9E70UvRd9G30gfSV9Kj0t/TE9ND03vTz9RD1M/Va9X/1nvW09cH1x/XK9c/11vXg9en17vXs9eP11fXH9b71vfXI9dz1+fYa9kD2avaa9tL3E/da96P36Pgk+FH4b/iA+In4kPid+LX42PkI+UH5gvnF+gf6RvqA+rT64vsK+y77T/tu+4z7rPvN+/H8F/xB/G38mvzI/PT9Hv1D/WP9fv2V/ar9vf3S/en+A/4h/kP+Z/6P/rr+5v8T/0D/a/+V/73/4gAGACoATgB0AJoAvwDjAQIBHQEzAUMBUAFaAWIBaQFwAXkBhwGeAcEB8QIuAnQCvAMBAzwDbAOQA60DxwPiA/8EHAQ3BEsEWQRgBGYEbgR9BJIErATFBNoE5gTqBOsE6wTyBP8FEwUqBT4FTQVTBVIFTgVKBUgFSgVQBVkFZAVvBXoFhwWUBaEFrQW4BcEFygXUBd8F7AX5BgUGDgYUBhgGHAYhBioGNQZBBk0GVgZcBmAGZAZpBnAGdwZ7BncGagZTBjQGEAXsBcoFrQWSBXoFYQVJBTMFIAUTBQ4FEQUaBScFNgVCBU0FVQVcBWIFaAVtBXAFbwVmBVQFOQUVBOsEwQSbBH4EbwRtBHcEhwSYBKUEqQSkBJkEjASBBH0EfgSDBIcEhQR7BGgETgQxBBcEAgPzA+sD6APpA+oD6gPoA94DywOpA3gDNwLsApwCTwIMAdUBpwF/AVQBJADrAK4AcAA4AAr/5f/H/6v/kP94/2j/Z/98/63/9wBSALUBEwFiAZsBvwHPAdAByQG9Aa8BoQGSAYUBeQFwAWsBbAFyAX4BkQGqAcgB6wIOAjACTQJiAnECegJ/AoQCjAKXAqQCswK/AsgCzQLPAtAC0wLZAuMC8AL+Aw0DGgMmAzIDPgNNA14DcgOGA5oDrgO/A9AD3wPuA/4EDQQcBCoENgRCBEsEVARcBGQEbQR2BIEEjQSaBKcEtAS/BMoE1ATgBO4FAAUVBS0FRAVYBWUFaQVmBV8FVwVRBVEFVgVdBWUFaQVqBWkFaQVsBXYFhQWXBacFsQW1BbUFtQW6BcUF0QXXBcgFmQVDBMUELAOKAvcCiAJLAkYCdALHAzADnQQBBFUEmATNBPkFIgVMBXkFqgXdBg8GPgZoBo0GrAbEBtgG5wbxBvgG+Qb0BuYGzQapBnoGRgYSBegF0AXQBegGFAZKBnsGnAaiBosGWQYVBckFfwU8BQME1ASrBIUEXwQ2BAwD4gO3A44DZwNCAx8C/wLhAsUCqQKOAnICVwI6Ah4CAQHkAccBrAGRAXgBYAFJATIBGQD9ANwAtgCKAFwALQAC/97/w/+z/6n/ov+Y/4f/bP9H/xz+7/7G/qT+iP5t/kz+HP3b/Yb9I/y8/Fr8BvvF+5f7d/tg+0v7MvsU+vH6yfqe+nD6P/oK+dH5lflY+Rv44fiq+HX4QfgO99r3pfdw9zz3CvbZ9qr2e/ZM9h317vXB9Zb1bfVF9R70+PTU9LL0lPR69GT0UfQ+9Cv0FvP/8+jz0/O/86/zofOU84bzdvNk81HzPfMq8xfzA/Lt8tTyuvKd8n/yX/I88hfx7fHB8ZLxZvE98Rvw/vDn8NDwt/Ca8HjwVPAx8BDv9O/d78jvs++c74PvZu9I7yrvDO7x7tbuvO6h7oTuZu5E7iHt/O3Y7bXtlu177WXtU+1D7TTtJe0V7Qbs+ezt7OXs3+zb7Nfs1OzS7NTs2ezm7PntEe0u7Uztae2F7Z7tte3J7dvt6+357gbuEO4Y7h7uIu4m7inuLu427kLuUu5m7n7ul+6y7s3u6u8H7yfvSe9s75Lvt+/b7//wI/BJ8HLwnvDL8PfxHvE98VLxXvFl8WrxdPGH8abx0fIH8kLyf/K78vTzKfNd85DzxfP89DX0bvSm9Nz1EPVC9XP1pPXU9gP2LfZT9nL2ivad9q72vvbR9uf3Avcg9z/3Xfd494/3ovex9773zffg9/j4GPhC+Hf4ufkH+WP5zPpB+sL7SvvY/Gj89v2A/gD+dP7a/zD/ef+4//QAMwB5AMkBIgF/AdkCKAJqAp0CxALkAwMDJANKA3IDmwPFA+4EGARHBHsEtgT0BTQFdAWyBfAGLgZxBrYG/AdBB4AHuAfqCBoITAiECMEJAwlECYEJtgnkCg4KOQpoCp0K1QsOC0ILcQubC8IL6gwXDEsMhwzJDQ4NVA2XDdQOCA42DmEOjw7KDxwPhxAKEJkRIxGVEeASABH7EeIRyxHKEeoSKRJ6EssTChMsEzETIhMLEvkS9hMCExoTNhNSE2sTgROYE7MT1BP5FB8UQxRjFIAUmhS2FNUU+BUdFUMVaBWLFa8V1hYAFi8WYhaVFscW9BcdF0MXZxeNF7QX3RgHGDAYVRh2GJQYrxjJGOMY/BkTGScZNxlDGUsZTxlSGVQZVBlRGUsZQRk0GScZGxkRGQoZBBj+GPYY6hjbGMoYuRipGJsYjRh/GHAYXhhLGDgYJhgWGAgX+xftF94XzxfAF7QXrBelF6EXmxeSF4YXdxdqF14XWBdUF1QXUhdOF0cXPxc5FzcXOhdAF0YXSBdGFz4XMhcmFxwXExcLFwEW9BbjFtIWxBa8FrsWvha+FrYWoxaEFmEWPxYoFhwWGhYaFhMV/RXVFZ8VYhUnFPQUyhSlFIIUXBQ0FAsT6BPSE8oTzxPbE+cT7hPsE+IT0hPAE6sTkxN2Ex4S9xLPEqsSjRJ4EmsSYRJWEkQSKRIHEeMRwRGpEZwRmhGiEbARwBHPEd0R5xHuEfMR9RH2EfUR8hHqEdoRwBGZEWMRIRDXEIoQQRAAD8gPmQ9uD0MPFA7dDp8OXA4WDdANjQ1PDRYM5Ay3DI8MbAxNDC8MEwv2C9YLswuJC1gLHgrbCpIKRgn6CbIJcAk2CQEI0QijCHYITAgmCAUH6gfWB8YHuQesB50HjQd8B20HYwddB14HZAdtB3cHfweCB30HcAdZBzgHDwbhBrAGgAZUBi8GEgX9Be8F5wXiBd8F3wXgBeQF6wX2BgQGFAYmBjgGSAZVBl0GXwZaBk4GOgYhBggF8QXhBdoF3AXkBewF7wXpBdkFvgWcBXUFSwUgBPUEywSkBIQEcARqBHIEhASbBK8EugS5BK0EmgSGBHYEbQRqBGsEbQRtBGoEZARaBE4EQAQvBB0ECQP2A+MD1APJA8IDvwO/A74DvAO3A6wDmgOBA2IDQAMdAv8C6ALaAtICzQLIAr4CrwKbAoYCcgJgAk8CPQInAgkB5AG7AZMBbwFSATwBKQEVAP0A4QDAAJ4AfABZADUADv/i/7P/gv9T/yv/C/7w/tn+xP6u/pz+kf6R/p/+uP7U/uj+6v7S/qH+Wv4G/a/9W/0P/M38lfxl/D78H/wJ+/f75/vT+7X7ivtV+xf61/qb+mf6PPoY+fj51/m0+Y35ZPk6+RH46vjH+Kj4jPhy+Fn4Qvgq+BL3+ffd98D3ofeB92D3P/cg9wT26/bX9sf2vPay9qr2oPaU9oT2bvZU9jT2DvXj9bb1ifVh9UL1LvUn9Sr1MvU59Tr1MvUg9Qf06vTO9LX0ofSQ9IH0c/Rl9Fj0T/RL9Ev0TvRS9FT0U/RQ9E70TvRR9Fn0YfRm9GT0W/RL9Dn0KfQh9CL0LPQ59ET0SPRB9C/0FfP289jzwPOw86vzsvPE89zz+fQU9Cr0OfQ/9D30NfQr9CH0FvQJ8/nz5fPM87Dzk/N482PzUfNC8zLzH/MH8uryyvKr8pHyfvJ08nTye/KI8pjyqvK78s3y3fLs8vrzBvMQ8xfzHPMg8yXzLfM580nzXvN1847zpfO789Dz5PP49A30IvQ09EP0TPRO9En0QvQ79Dj0PPRI9Fv0cvSK9KH0s/TE9NT05vT+9Rv1PPVd9Xv1kfWe9aX1qPWr9bH1ufXC9cn1yPW99av1lPV/9XL1cPV79ZH1sPXV9gD2MvZs9rL3AvdY96/3/vhA+HD4j/ih+K34uPjK+OX5C/k7+XH5rPno+iT6XfqS+sP67/sX+zr7W/t8+537v/vl/A38Ofxo/Jj8y/z9/S79W/2E/af9xf3f/fb+Dv4n/kP+Yf6B/qH+wv7i/wP/Jf9I/23/k/+5/98ABAAqAFAAeQCjAM0A9gEbATkBTwFdAWYBbAFyAXgBgAGJAZQBogG2AdMB+gItAmsCrgLyAzIDagOaA8MD5wQHBCUEPwRUBGMEbQRzBHsEhwSZBK8ExwTbBOgE7ATqBOgE6gT0BQcFIAU4BUoFUwVTBUwFRQVABUIFSQVUBV4FZwVuBXQFfQWIBZkFrAXBBdcF6gX8BgsGGAYiBikGLgYxBjUGOwZGBlUGZgZ2BoMGigaMBooGhwaFBoUGhQaBBnYGYwZGBiMF/gXbBb0FpQWQBX8FbQVbBUkFOwUxBS8FNAU9BUcFUAVUBVQFUQVNBUsFTQVTBVwFZAVnBWIFUQU1BRAE6ATCBKYElwSXBKMEtwTLBNgE2gTPBLoEoQSLBHwEeAR8BIMEhQR/BG4EVQQ6BCMEFAQPBBAEEwQQBAED4wO2A3wDOQLwAqUCWgIRAc0BjwFbAS8BCADjALoAiQBSABb/3P+q/4T/bP9f/1n/VP9O/0n/Sv9W/3T/pP/kAC4AewDDAQEBMwFXAXEBgwGNAZIBkQGMAYUBfgF3AXUBeAGAAY4BoQG5AdUB9AIVAjUCUwJtAoACjQKTApYCmAKcAqMCrgK7AsoC1wLiAuoC8AL2AvwDBQMPAxwDKgM6A0sDXgNyA4gDnwO2A8sD3gPuA/0ECwQaBCkEOQRKBFkEZgRwBHYEeQR7BHwEfwSGBJAEnQStBL0EzQTcBOkE+AUIBRsFMwVOBWoFhQWbBacFqQWhBZEFfwVvBWYFZAVqBXQFfwWJBZAFlgWcBaQFrQW2Bb0FvgW9BboFvAXFBdMF4AXfBcIFfQUNBHgD0gMzArQCaQJcAokC4gNSA8YELAR7BLIE0gTkBO4E9wUBBQ8FIwU9BVwFgAWoBdAF9wYaBjYGTAZbBmYGbAZtBmcGVwY7BhAF2gWeBWkFRQU8BVQFiQXSBiIGaAaVBqIGjAZZBhIFwgVyBSkE6gS0BIUEWwQyBAoD4QO2A4sDYQM5AxQC9QLaAsICrAKVAnsCXgI+AhsB9wHVAbUBlwF8AWIBSAEsAQ4A7ADIAKIAegBSACoABP/i/8X/rv+d/5H/h/96/2f/Sv8l/vn+zf6m/ob+bf5X/jn+Df3M/Xb9EPym/EL77/uz+477eftt+2D7T/s1+xL66fq7+or6Vvog+eb5q/lw+Tf5AfjN+Jz4a/g5+Ab30ved92j3NvcE9tT2pfZ29kj2GvXs9b71kfVk9Tb1CvTg9Lr0mvSA9Gv0WfRH9DL0HPQE8+3z2fPJ87zzsvOm85jzhvNx81zzSPM18yPzEPL68t7yvvKb8nbyUfIt8grx5/HC8Z3xefFZ8T3xJfEP8Pjw3PC68JTwbPBF8CPwCO/y79/vy++175rve+9Z7zfvF+747tvuv+6k7onubu5R7jLuEu3x7dDtse2V7XztZ+1T7UHtLe0a7Qfs9ezn7Nzs1ezR7NDsz+zS7Nbs4Ozu7QHtGe007VDtbO2I7aLtu+3S7eXt9e4A7gfuC+4N7g7uD+4Q7hPuF+4d7ifuNe5J7mLuf+6f7sDu4O8A7x/vPe9a73jvl++379nv/vAl8E3wdvCc8L7w2fDr8PTw9vD18Pbw/fEQ8TDxXfGW8dfyG/Je8p3y2PMP80XzfPO38/X0NvR39Lf09fUu9WL1k/XB9ez2FfY79l72fvaa9rX2zvbp9wX3I/dD92T3g/ee97T3wvfL98/31Pfc9+v4BPgp+Fr4l/jh+Tb5mfoI+oT7C/uc/DD8xf1U/dj+Tv60/wr/U/+U/9EAEABSAJsA5wEyAXkBuQHvAh4CSwJ4AqkC3wMWA0wDfAOmA8sD8AQZBEoEhATGBQkFTAWLBcgGAwZBBoMGxwcLB0sHhQe5B+sIHwhYCJoI4AkoCWwJqAncCgkKNQpiCpQKyQr/CzMLYguNC7YL3gwIDDgMbwysDO4NNA14DbcN7Q4YDjwOXw6MDs4PLQ+nEDQQwhE+EZYRxBHNEcMRuhHFEe4SMBKBEswTAxMeEx0TDBL2EuoS7BL8ExYTMhNNE2UTfBOWE7UT2hQAFCUURhRiFHsUlhS1FNoVBBUwFVsVhBWpFc4V9BYfFk4WgRa1FucXFBc8F2EXhhesF9QX/hgoGFAYdBiUGLEYyxjkGP0ZFRkqGTsZRxlNGVAZTxlNGUkZRBk9GTQZKBkaGQ0ZARj3GPAY6hjjGNoYzhi+GKsYmRiHGHYYZxhXGEcYNRgiGA8X/hfwF+UX3BfUF8wXwxe6F7IXqxekF54XlheMF4AXcRdjF1cXThdJF0YXQxdBFz0XOxc7Fz8XRxdQF1cXWBdRF0MXMRcfFw8XBBb8FvQW6RbbFssWuxavFqgWpBafFpMWfhZfFjwWHBYFFfwV/BYAFfwV6hXGFZEVVRUZFOUUvRSeFIUUbRRUFD0UKhQfFB4UJBQrFC0UJBQQE/ITzxOqE4cTZRNDEvUS1RK2EpoShBJ0EmkSXxJQEjkSGhH0Ec0RrBGUEYgRiBGQEZsRpxGwEbgRvhHEEcwR1RHgEeoR8BHuEd4RvxGOEUwQ/xCtEF8QGg/hD7QPkQ9wD0wPIg7vDrIObw4mDdsNjw1FDQAMwgyNDGMMQgwoDBEL+QvdC7sLkgtiCywK8QqyCnAKLQnqCaoJbQkzCPwIxwiRCFsIJwf2B8wHrAeXB4sHiAeIB4oHigeIB4UHgAd9B34HgQeHB40HkgeQB4cHdAdWBzAHAwbTBqMGdQZMBioGEAX8Be8F5gXfBdkF0wXOBcwFzQXTBeAF8QYGBhwGMQZBBk0GUwZSBksGPgYsBhgGBQX3BfEF8wX8BgcGEAYQBgYF8AXOBaQFcwU+BQgE0wSjBHwEYgRXBFoEaQR8BI0ElgSUBIoEegRrBGAEXAReBGMEZwRoBGQEXARQBEEEMAQfBA8D/wPzA+wD6APpA+sD7QPtA+cD3QPMA7UDmQN4A1MDLQMIAukC0QLDArwCugK5ArMCpwKWAoECbAJYAkYCMwIdAgIB4gG/AZsBewFgAUkBNAEeAQMA5ADDAKMAhABoAEwALQAH/9v/q/96/07/KP8J/vD+2f7E/rH+pf6j/qz+v/7V/uT+4v7H/pH+Rf3q/Yr9Lvze/Jz8aPxB/CX8Efv/++371vu2+4v7VvsZ+tv6n/pq+j76Gfn5+dv5vPmb+Xj5Vfkx+Q747fjM+Kz4jfhw+FT4Ofge+AD34fe/95v3ePdV9zX3GPb/9un21/bG9rb2pvaV9oT2cfZe9kr2NvYg9gb16PXE9Zz1cvVM9S31GvUT9RX1G/Ue9Rn1CvTy9NT0tfSa9IT0dPRo9Fv0TvQ/9C/0IfQY9BX0F/Qc9CH0JfQn9Cf0KPQs9DD0NfQ39DL0JvQT8/7z6vPd89rz3/Pp8/Xz+/P58+zz1fO485jze/Nl81rzW/Np84Hzn/O+89nz7fP58/70APQA9AD0AfP/8/jz6vPT87TzkPNr80jzKfMN8vTy3fLF8q/ymfKH8nnycPJu8nLye/KI8pjyqPK28sPyzfLV8tvy4fLn8u3y9fL98wjzFfMk8zbzSfNe83Pzh/Oa863zwvPY8+/0BvQb9Cr0MvQy9C30JfQf9B/0J/Q39E70afSE9J70tfTL9N/09vUO9Sf1QfVY9Wr1dvV89X71f/WC9Yf1jfWT9ZX1jvWA9Wz1VvVE9Tz1QfVS9W71k/W/9fH2LPZy9sL3Gvd29874G/hX+IH4nPir+Lf4xvjc+Pr5IflN+X75sfnn+h76V/qQ+sn6/vsv+1v7gvun+8v78PwZ/EX8dPym/Nn9Df1B/XL9oP3K/e7+DP4m/j7+Vv5v/ov+qf7J/uj/Bf8h/zv/V/90/5T/uP/eAAYALwBZAIQAsADdAQkBMQFUAW4BfwGJAY0BjgGQAZQBmgGiAa0BugHNAeYCCgI5AnECsQLzAzQDbwOkA9ED+AQbBDkEUgRmBHQEgASJBJQEowS0BMcE1wThBOME3wTZBNgE3wTxBQwFKgVEBVMFVgVPBUMFOQU1BTsFRwVXBWUFbwV0BXYFewWDBZMFqQXDBd8F+gYSBiYGNgZBBkcGSgZLBk0GUgZcBmoGegaJBpQGmQaZBpQGjgaJBoQGgAZ4BmkGUwY2BhMF8AXRBbYFogWTBYcFewVvBWMFWAVRBU4FTwVTBVgFXAVeBV8FXwVgBWQFawV0BX0FggWABXUFYAVEBSQFBATpBNcE0QTVBOAE7gT4BPkE7gTXBLgEmAR8BGsEZgRrBHQEeQR1BGUETAQzBCEEHAQkBDMEPQQ0BA4DxgNhAukCagHyAYwBOgD9ANAArgCSAHcAWwA8ABb/7P+8/4z/X/88/yX/Hf8i/y//QP9P/13/af94/4z/p//K//MAHgBJAHEAmAC+AOMBBwEqAUoBZAF2AYEBhgGIAYkBjAGTAZ8BrwHCAdkB8wIPAi4CTgJsAoYCmQKkAqgCpwKkAqUCrAK6As0C4wL3AwcDEgMYAxwDIAMmAzEDPwNQA2QDegORA6oDxAPdA/UECwQeBC4EOwRIBFYEZARyBIAEigSRBJMEkQSPBI4EkASZBKYEtwTJBNsE6wT5BQcFFgUpBUAFXQV8BZsFtwXMBdYF1QXJBbYFoAWLBX0FdwV7BYYFlQWkBbIFvAXCBcYFxwXGBcIFvAW2BbMFtwXBBc0F0gXCBZIFOQS6BCIDiQMJArkCpgLQAysDogQcBIcE2AUKBSQFLQUsBSYFHwUXBQ8FBwUCBQMFCwUaBS4FRAVaBW0FegWFBYwFkQWVBZYFkAWABWYFQwUbBPcE4QThBPsFLwV1BcEGCAY7BlMGTgYuBfgFtgVuBSgE6ASvBH4EVAQuBAoD5QO8A5EDYgM0AwgC4gLDAqkClAKAAmsCUgI0AhMB7wHLAagBhwFpAUwBLgENAOoAwwCaAHEASQAkAAL/5P/J/7D/mf+E/3H/X/9M/zT/F/7z/sv+o/5//mH+SP4w/hH94/2f/Uj84/x6/Br7zfuY+3r7bfto+2L7Vfs++x769frG+pP6Xfok+er5sfl8+Ur5Hvj1+M74p/h8+E34Gvfl9673d/dB9wz22Pal9nT2RfYX9en1u/WM9Vv1K/T99NT0sPST9Hv0ZvRR9Dz0JPQN8/fz5fPX88zzwvO186Pzj/N382HzTfM78yvzGfMB8uPyvvKV8mzyRvIl8gfx7PHS8bfxm/GA8WXxS/Ew8RLw7/DH8JvwcPBJ8CnwEe/+7+3v2u/E76jvie9o70fvJ+8J7uzuz+607pjufe5j7kjuK+4O7e/t0O2y7ZXte+1i7UrtMe0Z7QLs7ezc7M/sxuzB7MDswezF7M3s2uzr7QHtGu007VDtbO2J7aXtwe3b7fDt/u4F7gfuA+3+7fnt9e3z7fPt9u377gPuEe4l7kDuYe6F7qzu0e7z7xHvLO9F713vdu+S77Dv0u/18BfwNfBO8F/waPBr8GnwZvBm8G3wffCZ8MLw9vE18XvxxfIO8lbymfLa8xjzVvOW89j0HfRh9KP04vUa9U71fPWn9c/19vYb9j/2YfaB9p72ufbU9u/3Dfcs9073cPeR9633wvfR99n34Pfp9/n4E/g4+Gr4qPjy+Ub5pvoS+ov7D/ub/Cv8uv1C/b/+Lv6O/uL/Lf9x/7P/9gA6AH8AwwECATsBawGVAbsB4wIQAkcChQLIAwoDRwN5A6QDyQPvBBsETwSLBM0FEAVRBY8FzAYKBksGjQbRBxIHTweIB78H+Ag1CHgIvwkHCU0JjAnFCfkKKwpeCpIKyAr8Cy0LWguCC6oL0gv/DDEMawysDPQNQQ2QDdsOHg5UDnwOnA68DugPLA+JD/wQdxDoEUEReRGUEZ4RqBHBEfASMhJ7Er0S6xMBEwES9xLsEusS9hMLEyQTPRNSE2UTeROTE7MT2BP/FCUURhRiFH4UnBTAFOkVFxVFFXIVnBXDFesWFRZDFnUWqBbbFwsXNhddF4MXqBfPF/cYIBhIGG0YjxitGMkY4xj8GRMZKBk5GUUZTBlOGUsZRhlAGTkZMRkoGR4ZEhkGGPoY7xjlGNwY1BjKGL8YsRigGI0YehhmGFMYQBguGBsYCBf2F+UX1hfLF8MXvxe8F7sXuBe0F68XqBegF5cXjBeBF3QXZxdaF04XRRdAFz4XPhdAF0QXSRdPF1YXXhdjF2MXXBdOFzkXIhcKFvYW5hbZFssWuxanFpAWehZpFmAWXBZbFlcWTBY4Fh4WBBXwFeUV4xXjFd8VzhWtFX0VRBUMFN0UuhSjFJcUjhSHFIAUehR1FHIUbxRnFFYUOxQUE+YTtBOGE1wTNxMWEuASxhKtEpYShBJ2EmwSYRJQEjYSFBHrEcMRoRGKEYERgxGMEZYRnBGcEZcRkRGMEY0RlhGnEbwRzhHWEc8RsxGDEUEQ9BClEFwQIA/wD8wPrQ+PD2sPPw8JDswOhw49DfANnw1ODQAMuQx9DE4MLAwTC/0L5QvGC54Lbgs4Cv4KxAqLClIKGgniCakJbwk0CPgIugh7CDsH/QfEB5QHcAdaB1IHVgdhB3EHgAeMB5MHlweZB5kHmgebB5sHmAeQB4EHaQdJByIG9wbLBqAGeAZUBjYGHQYKBfwF8gXrBeQF3gXZBdYF1gXdBekF+wYPBiMGMwY/BkUGRgZEBkAGOQYxBicGHgYXBhUGGQYjBi4GOAY6BjIGHQX8BdEFngVnBS0E8wS9BI8EbgRaBFYEXQRrBHkEggSDBH0EcgRnBF8EXARdBGAEYgRiBF4EVwROBEMEOQQwBCgEIgQfBB8EIAQjBCMEHgQTBAAD5wPIA6YDgQNbAzUDEQLwAtUCwQK2ArMCswK0ArECqAKZAoUCbwJYAkECKQIQAfQB1gG3AZoBgQFsAVkBRQEtAQ4A6gDDAJ0AfABfAEYALAAO/+j/vf+P/2P/PP8d/wP+7f7a/sr+v/69/sT+1P7l/u7+5f7D/ob+MP3L/WL9APyt/G38QPwi/BD8Avvy+9v7u/uP+1r7IPrl+q76fvpV+jH6Efnw+c35qfmG+Wb5SPku+RT4+Pja+Lr4l/h0+FL4MPgO9+v3xfee93f3Uvcw9xP2+/bn9tX2w/aw9pv2gvZp9k72NfYg9g31/vXv9d71yPWq9Yb1X/U69R31CvUC9QL1BPUB9PX03/S/9Jz0evRe9Ev0PvQ29C70JPQW9Abz9vPp8+Lz4PPk8+nz7vPy8/Pz8/Py8/Lz8/Py8+7z5fPY88jzuPOr86TzovOk86fzpvOf85DzefNc8z7zIvMM8wHzAfMO8yTzQPNe83nzjvOe86rztfPC89Hz4vPy8/vz+vPt89TzsfOI81zzMPMG8uDywPKl8pDygvJ58nbydvJ58n/yh/KR8pzyp/Kx8rnyvfK+8r3yvvLA8sXyzvLZ8ufy9vMG8xbzJ/M480jzWfNq833zk/Or88Xz3vPz9AL0CPQH9ALz/fP89AL0EPQm9EH0X/R89Jn0s/TN9OX0/PUT9Sf1OPVG9U/1VfVX9Vf1V/VY9Vn1WvVa9Vf1T/VE9Tf1LPUn9Sz1PPVY9X71rPXh9hz2X/ap9vv3UPel9/L4M/hj+IP4l/il+LL4xfjg+QH5KPlS+Xz5qfnY+g76SfqL+s/7E/tT+4z7vfvo/A/8N/xh/I78vvzw/SP9Vv2H/bf94/4M/jD+T/5o/n3+kf6k/rr+0v7u/wz/K/9J/2f/hv+n/8v/8wAeAEoAeAClANEA+wEjAUcBaAGDAZgBqAGyAbkBvgHBAcQByAHMAdIB3QHvAgoCMQJiApsC2QMXA1IDhgOzA9sD/gQfBD0EWARwBIQElgSlBLMEwgTQBNwE4wTjBNwE0wTKBMoE1ATsBQsFLQVKBVsFXgVXBUwFQgU/BUYFVAVkBXIFewV/BX8FgAWGBZIFpAW8BdYF8QYLBiIGNgZHBlMGWwZgBmQGaAZuBncGgQaKBpEGkwaSBo4GigaFBoIGfQZ1BmcGUgY3BhcF9gXYBb8FqwWdBZMFiwWDBXsFcwVrBWQFXgVbBVoFXQVkBW8FfgWQBaQFtgXCBcQFvAWnBYoFaAVGBSkFFQUKBQYFCQUNBRAFDgUFBPUE3gTBBKIEgwRqBFkEUARNBEkEPwQrBA0D6gPMA7wDwAPXA/cEDQQGA9QDcALjAjsBkQD5AIMANAAJ//j/8//x/+r/2v/D/6f/iP9o/0n/L/8c/xP/Ff8i/zX/Tv9m/37/kv+l/7f/yf/c/+7//gANABwALwBHAGgAkwDGAPwBMQFfAYIBmQGlAaoBrAGvAbUBwAHPAeEB9gIPAisCSgJrAooCpAK1Ar0CvQK5ArcCuwLIAt4C+AMTAykDOAM/A0MDRgNLA1QDYgNzA4UDmQOtA8MD2wP1BA8EKAQ/BFIEYgRuBHkEgwSNBJUEmwSdBJ0EmwSZBJsEogSvBMIE1wTrBP0FCwUWBSMFMgVIBWMFgwWjBcEF1wXlBekF5AXXBccFtQWmBZsFmAWcBaYFtAXCBc4F1QXYBdYF0QXKBcIFugWzBbAFsAWyBbAFowWABT8E3gRkA+MDcAMjAwwDLQN/A+8EZATKBRUFQQVVBVkFVwVUBVAFSgU/BSwFFQT7BOUE1QTMBMsEzgTSBNYE2ATaBNoE2ATWBNAExwS6BKoEmQSKBIEEgASMBKMExATrBRQFOAVUBWYFbAVmBVUFPAUaBPIExgSZBG4ERgQiBAED4AO9A5YDagM8Aw4C4gK7ApkCfAJjAkwCNAIZAfwB3AG6AZYBcwFSATMBFgD4ANgAtQCPAGcAQAAb//n/2/++/6L/hf9n/0n/LP8Q/vT+2P67/p3+fv5h/kX+KP4H/dz9ov1W/Pr8l/w2++H7oft3+2D7WPtU+0/7Qvss+wz65Pq2+oP6TPoU+d75q/l/+Vn5Ovkd+QD44Pi5+Iz4Wfgi9+r3sPd39z/3CfbV9qP2dPZG9hn16/W89Yz1W/Us9P/02PS19Jf0ffRk9Ez0NPQe9Arz+vPs89/z0vPD87DzmvOD823zW/NK8zjzJPMJ8ufyv/KU8mzySfIt8hbyA/Hv8dnxwPGk8YbxZ/FF8R/w9fDI8JvwcPBM8C/wGfAI7/fv5O/M77Dvk+9371zvRO8s7xLu9+7a7rrum+597l/uQe4j7gTt5e3H7artju1z7VjtPO0g7QXs7ezY7MjsvOy27LLss+y47MLs0ezm7P7tGO007U/tbO2I7abtwu3c7fHt/e4B7f3t8+3o7dzt1O3O7cvty+3P7dft5u377hjuO+5i7ovuse7U7vPvDu8k7znvTu9l733vl++x78nv2+/m7+nv5u/f79nv2O/h7/XwFfBB8HfwtvD88UfxlvHm8jXygvLL8xDzUvOS89H0D/RM9Ib0vfTw9R/1SvVz9Zr1wPXk9gf2KPZH9mT2f/aY9rH2y/bn9wf3KvdP93L3lPex98v34/f8+Bn4Pvhr+KL44vks+YD53vpI+r37O/u+/EP8wv05/aX+Bv5e/q7++v9E/47/1gAeAGQApgDjARgBRAFqAYoBqgHQAf4CNgJ2ArsC/wM8A3EDnQPGA/AEHgRUBJAE0AUSBVQFlgXXBhkGXQagBuIHIQdeB5oH1ggVCFgIngjkCSkJagmoCeIKHApVCo0KwgryCx4LRQtrC5ILvQvvDCYMYgykDOwNOQ2MDeIONQ5/DrwO6w8SDzgPaA+pD/oQVRCvEPwRNhFeEXsRmRHAEfQSMhJyEqcSyxLcEt8S3hLfEuoS/RMVEy0TQRNSE2ETcxOME6wT0hP5FCAURRRnFIoUrxTZFQUVMhVfFYoVtBXdFgkWORZrFp8W0hcBFy0XVRd7F6IXyhfyGBwYQxhoGIoYqBjDGN0Y9BkKGR0ZKxk2GTsZPBk5GTUZLxkoGSAZFxkOGQQY+hjxGOYY3BjSGMcYuxiuGKEYkxiDGHEYXRhHGC8YFxf/F+sX2RfMF8EXuhe2F7MXshexF7AXrheoF6AXlheJF3wXcBdmF1wXVRdOF0gXRBdCF0QXSBdPF1cXXxdjF2QXYRdYF0sXORckFw4W9hbgFsoWtRagFocWaxZMFiwWDxX6FfAV8RX5FgIWBxYEFfkV6BXYFcwVxhXEFcEVtxWgFX0VURUjFPoU3BTLFMMUwhTDFMIUvRSzFKMUjhRyFE0UIBPuE7kThxNbEzUTFhL7EtcSvxKoEpISgBJzEmgSXBJLEjASDBHiEbkRlhGAEXkRfhGKEZQRlxGREYIRcBFhEV0RZhF8EZgRsxHCEb8RphF2ETYQ7RClEGYQMxALD+wPzg+sD4IPTw8UDtIOjQ5EDfgNqQ1YDQgMvQx8DEgMIAwAC+ULxwuiC3ULQgsKCtIKnQpqCjoKCQnYCaQJbAkwCPEIsAhsCCoH6gexB4EHXAdFBzsHPQdHB1YHZwd4B4cHkgeaB58HoAefB5sHkgeDB24HUgcxBw0G6AbEBqMGhQZqBlEGOwYoBhgGDAYDBf0F+QX3BfcF/AYFBhIGIgYyBj8GRQZFBkAGOQYyBi4GLAYsBiwGLAYtBi8GNQY9BkYGTAZMBkMGLwYSBewFwQWSBV8FKwT2BMUEmwR9BG0EawRzBIAEjQSVBJYEkQSJBH8EdwRxBG0EawRpBGgEZgRlBGMEYgRgBF4EXARaBFcEUgRKBDwEJwQKA+gDwgObA3QDTwMuAxAC9QLeAswCvwK5ArcCuAK4ArUCrQKfAosCdAJbAkACJAIFAeYBxwGqAZEBfgFvAWEBUQE7ARwA9QDKAJ8AeABYAD0AIwAG/+X/vf+T/2j/Qv8i/wj+8/7i/tX+zv7Q/tr+6f75/v7+7/7F/n3+Hv2v/T381fx//ED8F/v/+/H75fvU+7n7kftg+yj68Pq8+pH6bvpR+jT6Ffnw+cj5nvl3+Vf5Pvkq+Rb4//jh+L/4mPhv+Ef4Iff799T3rfeE91z3N/cW9vv25PbQ9rz2p/aO9nL2U/Y09hX1+/Xm9db1y/XB9bT1ofWH9Wb1QfUe9QH07/Tl9OD03PTT9ML0qPSH9GX0RfQs9Bz0EvQN9Aj0AfP28+fz1vPF87fzr/Or86zzrvOx87LzsfOu86vzqPOl86HznPOU84rzf/N082zzZ/Ni817zVvNI8zXzG/L+8t/yw/Ku8qLyofKs8sHy3PL68xXzLfM/80/zX/Nx84jzofO6887z2/Pc89Lzu/Oa83LzRPMU8uXyvPKb8oPyd/Jz8nXyefJ/8oPyiPKN8pPym/Ki8qbyqPKm8qPyoPKe8qHyp/Kx8r7yzPLb8uvy+fMI8xbzJfM180jzX/N685bzsvPI89jz3/Pf89zz2/Pe8+nz+/QT9C70SvRm9IP0n/S79Nf08fUH9Rn1J/Ux9Tf1PPU+9T71PPU59TT1LvUp9SX1IvUi9ST1KvU39Uv1afWQ9cD1+PY29nj2vfcF90/3mPfc+Bj4Sfhs+IP4kvie+K34w/jh+Qb5L/lZ+YP5rfnb+g76SvqP+tr7Jvtw+7L76/wb/Ef8cfyc/Mv8/P0v/WH9kf2//ev+Fv4//mX+hv6h/rX+xP7R/t/+8f8J/yf/Sf9u/5T/vP/kAA4AOwBpAJkAyAD0ARwBPwFdAXYBiwGeAa8BwQHUAeYB9gIDAgsCDgIPAhICGgIsAksCdwKtAukDJANbA4sDsgPSA+8EDAQpBEgEZwSEBJ0EsgTDBNAE2wTkBOoE7ATpBOEE1gTOBMsE1AToBQUFJgVEBVoFZQVmBWIFXgVeBWMFbQV3BYAFhQWHBYYFhwWMBZYFpQW4Bc0F4wX6BhIGKQZABlUGZgZ0Bn4GhQaKBo4GkQaTBpMGkgaOBooGhgaCBn8GfAZ1BmoGWgZDBigGCwXuBdUFwAWwBaUFnQWXBZAFiQV/BXQFaQVhBV4FYgVwBYYFpAXFBeYGAAYNBgkF8wXOBZ8FbgVFBSkFGwUaBSAFJwUoBSEFEgT9BOYE0AS6BKUEjwR4BF8EQwQiA/0D0AObA2IDLQMFAvMC/gMhA1ADdgN8A1EC7wJbAasA+ABd/+r/pf+K/4r/l/+k/6f/of+T/4H/b/9e/0//RP88/zn/Pf9I/1n/bv+E/5r/rv/A/9D/3//t//gAAQAFAAgADAAWACwAUgCHAMgBDgFQAYgBrwHEAcsBygHHAccBzQHZAekB/QITAi0CSQJqAosCqgLDAtIC1wLXAtUC2QLlAvoDFQMwA0gDWgNkA2sDcQN5A4UDkwOjA7IDwAPNA9wD7QQBBBkEMwRMBGIEdASCBIwElASbBKAEowSkBKUEpQSoBK4EugTKBN8E9QUIBRkFJgUxBT8FUgVsBYoFqwXJBeAF7QXvBeoF3wXTBcgFwAW6BbkFugXABcgF0gXbBeIF5QXkBeAF2gXUBc4FyAXBBbgFrQWfBYgFZQUxBOoEkgQyA9oDmgOBA5YD1QQwBJIE6AUkBUIFSQVDBToFNwU6BT8FQAU4BScFDgT0BNwEyQS7BLEEqQShBJkEkgSKBIEEdgRmBFEEOgQiBA8EAwQABAUEDwQaBCIEJAQeBBUECwQHBAsEGgQzBFAEawR+BIUEfQRpBE0ELAQJA+gDyAOnA4UDYQM7AxMC6wLCApsCdQJSAjICFQH6Ad8BwwGjAYABXAE6ARwBBADvANoAwgCkAIAAVwAtAAX/4f+//57/ev9U/yv/Af7Z/rb+mf6B/m3+Wv5G/iz+C/3e/aT9Wv0F/Kj8S/v4+7T7hPtm+1b7TftG+zn7J/sM+ur6wvqU+mL6Lfn5+cr5ofmA+Wb5Ufk7+SH5APjW+Kf4c/g++An31vek93T3RPcV9ub2t/aI9ln2KPX39cX1lPVk9TX1CvTj9L/0nvSA9GX0TfQ39CT0EvQC8/Hz3/PN87nzpPOQ833zavNX80HzJvMG8uLyu/KX8nfyXfJJ8jjyKPIV8f3x4vHC8aHxffFX8S7xAfDT8KfwfvBd8EPwL/Ad8Arv8+/Y77zvoO+J73XvZO9T7z7vJO8E7uHuvO6X7nTuUu4x7hHt8+3W7bztou2I7WztTu0u7Q7s8ezX7MPstuyt7Krsq+yx7Lzszezi7PvtFu0x7UztaO2D7aDtvO3U7eft8e3z7ezt4O3S7cPtt+2t7abto+2l7a3tvO3U7fLuFu487mLuh+6p7sfu4u757wzvHO8r7znvSe9Z72jvdO9773vvdu9w727vde+I76rv2fAT8FXwnPDo8TfxiPHb8i7yf/LK8xDzT/OI873z7/Qf9E/0fvSs9Nn1BfUv9Vj1fvWh9cL14fX/9hv2NfZQ9mn2g/ad9rn22Pb69x/3SPdy9533y/f7+C34Y/ie+Nz5H/lo+bj6Evp1+uP7WfvR/Ef8tv0b/Xf9yv4a/mf+tv8F/1T/ov/uADcAfAC+APsBMQFfAYUBpQHCAeICCAI5AnMCswL0AzMDawOeA80D/AQuBGYEogTjBSYFaAWrBe4GMQZzBrUG9gc2B3QHswfzCDUIeAi9CQAJQwmECcMKAgo+CnYKqgrXCv8LJAtLC3cLqgviDB0MWQyTDM8NEA1bDa8ODA5rDsQPEQ9PD4IPsQ/iEBkQWBCZENcRDRE9EWgRlBHGEf0SNhJqEpISrBK4Er0SwRLKEtsS8xMMEyUTOhNNE2ATdhOSE7QT2RP/FCUUSxRxFJoUxhT0FSIVTxV6FaMVzRX6FisWXhaTFscW9hchF0cXbReUF70X6BgUGD8YZRiHGKQYvhjWGOwZABkRGR4ZJRkoGSYZIxkfGRoZFRkQGQgY/xj1GOoY4BjWGMwYwhi2GKkYnBiOGIIYdRhoGFgYRBgqGA0X7xfUF8AXsxeuF68Xshe0F7QXshetF6cXnxeWF4oXfRdvF2IXWRdUF1IXUxdVF1YXVhdWF1gXXBdiF2kXbBdoF1sXRhcrFw0W8BbXFsEWrhacFokWcxZaFjwWHBX6FdkVvhWqFaAVoRWpFbYVwBXFFcMVuhWuFaUVohWmFawVsRWvFaEViRVqFUoVLRUXFQoVAhT8FPMU5BTMFKsUghRTFCAT6hO1E4UTWhM3ExoTAhLtEsESrBKXEoMSchJlElkSTBI6Eh8R+xHSEagRhhFxEWsRchF/EYsRjRGEEXERXBFMEUoRWBF0EZYRtBHCEboRmRFjESAQ2RCXEGEQNxAXD/oP2w+1D4UPSw8LDsYOgQ46DfMNqQ1dDRAMxwyDDEgMFgvsC8YLnwt1C0cLFgrjCrEKggpUCigJ/AnOCZwJaAkvCPMItQh3CDkH/wfKB50HeAdbB0YHOQczBzUHPwdNB2AHdAeHB5YHnwehB5wHkAd8B2MHRQcjBwIG5AbIBrIGngaMBnoGaAZVBkMGNAYpBiIGHgYeBiEGJwYwBjsGRwZQBlMGUAZGBjgGKQYfBhkGGgYeBiUGKwYyBjkGQQZJBlAGUwZQBkQGMAYXBfoF2gW6BZYFbgVBBRIE5QS/BKUEmgScBKgEtwTDBMoExwS+BLAEoQSUBIsEhwSJBI0EkwSZBJwEnASYBJEEiAR8BG0EWwRDBCUEAQPZA64DhANdAzwDIAMJAvYC5gLZAtACyQLFAsICwQK+ArcCrQKeAosCdAJaAj4CHwH/Ad4BvgGgAYcBcwFjAVYBRwEzARgA9QDOAKUAfgBcAD4AIQAD/+H/uf+P/2X/Pf8b/v/+6f7Z/s7+yv7P/t3+7v79/wD+7f6+/nD+Cv2W/SH8t/xg/CH7+fvg+9D7wfus+4z7Yvsw+vr6xvqa+nf6XPpF+iz6Dvnp+b75k/ls+Uz5NPkg+Qz49PjW+LH4ifhf+Df4Effs98b3n/d39073KPcG9uf2zPay9pf2e/Zd9j72HvX/9eL1yfW19aX1mPWM9X71bPVT9TX1FvT49N/0zfTA9Lb0q/Sc9In0cfRW9Dz0JfQT9Abz/PP18/Dz6fPf89HzwPOr85bzhPN382/zbfNu83Hzc/Nz83HzbvNq82TzXfNV80zzQvM58zLzLfMo8yLzGfMJ8vPy1/K38pTydPJZ8kbyPvJD8lTybvKO8q7yzPLl8vrzDPMe8zLzSPNf83bzifOX85vzlvOG82vzRvMZ8unyvPKW8nzybvJq8m3ycvJ28njyePJ48nryfvKE8onyi/KK8oXygPJ78nnyevKA8oryl/Kn8rnyy/Ld8u7y//MQ8yTzO/NX83TzkfOq87vzxPPH88jzyvPQ893z7vQD9Bn0MPRI9GH0ffSb9Lr01/Tw9QX1FfUg9Sn1L/Uy9TH1LPUj9Rn1EPUM9Q/1GfUq9UD1WvV39Zr1xPX29i/2b/az9vf3Ovd697X36/gc+Eb4Z/iA+JH4nfin+LX4yfjn+Q35Oflo+Zf5xfn0+ib6Xfqc+uP7Lft3+737+/wx/GL8kfzA/PL9Jv1a/Yz9uv3l/g7+N/5g/oj+rf7N/ub++f8H/xT/Jv8+/13/gv+r/9T//QAmAE4AdwCiAM4A+gEkAUkBZwF/AZEBoQGwAcMB2wH4AhcCNQJOAl4CZQJnAmkCcAKDAqUC0wMKA0QDegOoA80D6QQABBcEMARNBG0EjgSsBMQE1QTfBOUE6QTsBPAE8gTzBPAE6gTjBN4E4ATqBP0FFgUyBUsFXgVqBXEFdQV5BX4FhAWJBYwFjAWMBYwFjwWXBaMFswXGBdkF7QYCBhgGMQZLBmQGfQaRBqAGqgavBrAGrgaqBqQGnQaVBo0GhQZ+BngGcgZtBmUGWQZKBjcGIAYIBfEF3AXLBb4FtAWsBaUFnQWUBYoFgQV8BX0FhgWYBbIF1AX4BhsGNQZBBjsGIAXzBbsFggVRBTAFIQUgBSgFLwUwBSgFGQUHBPcE6wThBNYEwgSiBHMENwPvA6EDUAL/ArICcQJEAjICPwJnAp0CzgLjAssCfgIDAWsAzgBF/+D/pf+O/4//mv+k/6f/ov+Z/4//hv9+/3j/cf9s/2n/a/90/4P/lv+q/7z/yv/W/+D/6f/0//8ACgARABMAFAAWACEAOgBlAKMA7QE7AYABtQHVAeIB4AHYAdMB1AHeAe4CAgIWAi0CRwJkAoYCqALHAt8C7gL0AvcC/AMHAxkDMQNKA2EDcwOBA4sDlgOjA7MDxQPVA+ID7APzA/oEBAQRBCMENwRNBGMEdgSHBJQEngSmBKwEsQS1BLkEvgTFBM4E2gToBPkFCwUdBS0FPAVLBV4FdQWRBbAFzgXnBfYF+gX0BegF2wXRBcoFyAXJBcwF0AXVBdsF4wXqBfAF8wXzBfEF7QXqBeYF4AXVBcMFqAWFBVkFJgTtBK4EbwQ0BAcD8QP4BB4EWwSgBN8FCwUfBR4FEAUBBPoE/gUJBRUFGgUXBQwE/QTvBOQE2wTSBMQEsQSZBIEEaQRVBEEEKwQQA+8DzAOsA5QDiQOLA5cDpAOrA6UDjwNqAz4DFAL1AuoC9gMYA0kDgQO3A+IEAAQOBA4EAgPsA88DrAOGA14DOQMWAvcC2gK8ApwCeAJTAi4CDAHuAdIBtwGYAXUBUQEuARIA/gDwAOYA1wDAAJ0AcAA/ABD/5v/B/5//fP9U/yX+8v6//pL+b/5V/kP+Nf4j/gn94v2r/WT9E/y6/GP8FPvT+6L7gftt+1/7UvtC+y77FPr1+tH6p/p5+kf6E/nj+bj5l/l++Wv5WvlE+Sb5APjS+KL4cvhF+B33+ffY97j3lvdy90n3HPbq9rP2evZA9gf10PWc9Wv1PfUR9Oj0wfSe9ID0ZvRP9Dr0JvQQ8/jz4fPK87TzoPOO83vzZ/NP8zPzE/Lx8tDysvKZ8ofyefJu8mLyUvI88iHyAfHf8bzxmPFz8UzxIfD28MvwpfCF8GvwVvBB8CvwEO/y79Pvt++g747vfu9u71nvPu8d7vju0e6q7oXuYu5A7h/uAe3l7cvtsu2Y7XrtWO0z7Q3s6uzN7Lfsqeyj7KLspuyu7Lvsy+zf7PbtD+0n7UHtWu117ZDtqu3A7dDt2e3Z7dPtye287a/tou2W7Yzthe2F7Y3tnu237dft+e4c7j3uXe577pjusu7I7tju4u7o7uzu8u787wrvGe8l7y3vL+8v7zLvP+9Z74TvvO//8EjwlfDi8THxgPHR8iHybvK18vTzK/Na84TzrfPV8//0K/Ra9Ir0u/Tq9Rf1P/Vj9YL1nvW59dX18fYP9iz2R/Zh9nn2kvat9s328/ch91f3lPfW+Bz4Y/ir+PL5OfmA+cv6HPp2+tn7Q/ux/Bz8gfzc/TD9fv3K/hf+Zv64/wr/Wv+o//QAPgCJANMBGQFYAYwBswHOAeMB+AIUAjsCbwKtAvEDNANzA60D5AQaBFAEigTFBQMFQAV+BbwF+wY8Bn8GwwcHB0oHjQfPCBEIUwiVCNcJGAlYCZgJ1goSCkoKfQqsCtcLAgsxC2YLowvjDCMMXgyTDMQM+A03DYQN4Q5IDq8PDg9eD50Pzw/6ECUQVRCJEMAQ9xEtEWMRmBHPEgQSNhJgEn8SkRKbEqESqBK2EskS4hL9ExgTMhNNE2oTiROrE88T8hQUFDYUWRR/FKoU2BUIFTcVZRWRFbwV6RYaFk4WhBa5FukXFBc7F18XhhevF9sYCRg2GF8YgRieGLYYzBjhGPUZBxkVGR0ZHxkcGRcZERkMGQgZBRkAGPkY7xjjGNUYyRi9GLIYphiaGIwYfRhwGGMYWRhNGD8YKhgQF/EX0he5F6gXohelF6wXsxe2F7IXqRedF5EXhhd+F3YXcBdpF2UXZBdnF24XdRd6F3sXdxdwF2sXaBdpF2sXaBdcF0MXHxbzFsYWnRZ9FmYWVBZFFjUWIxYPFfsV6RXZFcsVvhWyFacVnhWXFZMVkBWOFYoVhRWBFYEVhxWVFagVvhXOFdUVzhW7FZ4VfhVgFUYVMhUfFQoU7hTKFJ0UaBQvE/UTvROKE14TOBMZEv8S6RLVEpMShBJ2EmkSXRJSEkYSOBIkEgkR5hG+EZcRdxFjEV8RZhFzEX4RfhFzEV8RSxE/EUQRWhF9EaMRvxHGEbMRhxFIEQAQuxCAEFIQMBAVD/sP2g+wD3sPPQ75DrIObA4oDeQNoQ1cDRcM0gyQDFIMGQvlC7ULiAtcCzALBArYCqwKgApVCikJ/AnPCZ8Jbwk8CQYIzwiXCGAIKwf6B80Howd8B1gHOAcgBxIHEgcfBzgHVwd4B5MHpgevB60HoQeNB3MHVQc1BxUG+QbiBtAGwga1BqgGmQaHBnQGYwZWBkwGRgZDBkMGRAZHBksGTgZOBkkGQAYxBiEGEQYGBgEGAwYLBhYGIwYyBkEGUAZeBmcGagZkBlQGPgYjBgkF8gXcBcYFrAWLBWUFPAUWBPgE5gTiBOcE8gT7BP4E+QTsBNoExwS5BLEEsgS6BMYE0gTZBNgEzwS/BKkEkAR2BFsEPgQfA/oD0wOpA4EDXQM/AycDFAMGAvkC7gLkAtwC1QLQAswCxwLAArYCqAKXAoICagJRAjUCGAH7AdwBvQGfAYMBaQFSAT0BKQEVAP0A4gDDAKIAgQBhAEIAIwAD/9//tv+M/2H/OP8V/vj+4P7P/sX+wv7H/tT+5P7y/vL+3P6p/lr99P2C/RD8q/xZ/Bz78/vW+7/7qPuL+2f7OvsI+tX6pPp6+lj6Pvon+hD59fnU+a75h/lj+UP5KPkQ+Pj42/i6+JX4bvhJ+CX4Avff97r3k/dq90D3Gfbz9tD2rvaN9mv2SfYo9gn16/XQ9bb1nvWJ9XX1Y/VS9UD1K/UV9P705vTR9L70r/Sg9JD0ffRo9FL0PvQs9Bz0D/QD8/Xz5/Pa883zwvO4863zn/OM83XzXfNI8zjzMPMu8zHzNvM68zzzO/M38zHzKPMd8xHzBvL98vjy9vL08vHy6vLc8sfyq/KK8mXyQfIf8gPx8PHp8fDyBPIj8kfybPKP8qzyw/LX8ujy+vMO8yLzNvNI81bzXfNa80zzM/MP8uXyu/KX8nzybfJo8mnybPJs8mnyZPJe8lryWfJb8l7yX/Jf8lvyVfJO8kjyRvJI8lDyXfJv8obyoPK68tTy7PMD8xrzM/NO82rzhvOd863zt/O887/zw/PM89jz6PP59Av0HPQu9EP0XPR59Jj0t/TU9Oz1APUP9Rz1JPUo9Sb1H/UV9Qv1B/UM9R31OfVe9Yn1tfXj9hP2R/aA9sD3BPdI94j3wvfz+Bz4Pvhc+Hb4jPid+Kr4svi5+MP40/jt+RL5Qfl1+av53/oQ+kD6cvqq+uj7Lft1+738Afw//Hf8q/ze/RL9R/17/av92P4A/iX+Sv5x/pr+xP7s/w//LP9F/1z/df+S/7X/2v//ACMAQwBhAH4AnAC+AOMBDAE2AV0BfwGbAbIBxgHbAfMCEQI0AloCfwKcArECvALAAsQCzgLiAwMDLwNgA5MDwAPmBAMEGgQwBEcEYgSBBKIEwgTdBPAE+QT7BPgE9ATzBPUE+gUABQMFAgT9BPYE8QTxBPgFCAUcBTMFSAVaBWgFcwV8BYQFiwWQBZIFkwWTBZUFmwWnBbgFzQXkBfsGEgYpBj8GWAZxBooGoga2BsUGzQbQBs8GywbEBrwGsgalBpgGigZ8BnAGZgZeBlkGUwZMBkIGNAYkBhEF/gXtBd8F0wXJBcEFuQW0BbAFsQW3BcIF0gXmBf0GFwYyBkwGYQZrBmUGTQYjBesFrwV4BU8FOAUyBTgFQAVEBUAFNgUoBRwFEgUHBPUE1AShBFsEBQOmA0YC6QKUAksCEAHqAdsB5wIMAj4CcAKMAoUCUQH1AX0A/gCKADH/9//Y/83/y//J/8b/v/+5/7T/sP+t/6j/of+Z/5T/lP+c/6z/wP/V/+b/8f/2//f/+P/8AAQAEAAbACIAJAAiACEAKwBGAHcAvAEOAWEBqAHaAfQB+wH2Ae8B7gH1AgMCFAImAjgCTAJlAoMCpgLKAukC/wMOAxcDHgMpAzgDTANhA3UDhgOUA6EDrwPAA9MD5wP4BAYEEAQXBB0EJAQtBDkERgRWBGcEeQSLBJwEqgS2BMAEyATPBNcE4ATqBPQE/QUIBRMFIQUxBUMFVgVrBYEFmAWwBckF3gXvBfgF+gX1Be0F5AXeBdoF2QXYBdcF1wXZBd4F5gXwBfsGAgYFBgUGAwYABfsF8gXhBcQFmwVpBTIE+gTHBJoEdARWBEMEPQRHBF8EgASkBMIE0wTXBNIEzATLBNQE5AT2BQMFCAUFBP0E9gTxBO4E5wTXBLoEkQRhBDAEBQPhA8QDqAOLA2oDSQMtAx0DHAMpAz8DVgNkA2MDUAMtAwAC0QKoAosCfwKFApoCvALoAxkDTgOAA6wDygPWA8sDqQN1AzoDAALRArECnwKVAooCegJgAkACHQH7AdoBugGYAXMBTAEoAQsA+QDwAOoA4ADKAKYAdQA/AAv/3/+9/6D/g/9g/zP+/v7H/pP+aP5J/jH+Hf4E/eH9r/1u/SH8zfx6/C/78PvA+577hftz+2L7T/s5+yD7Bfrn+sX6nfpu+jr6BPnR+ab5hflt+Vv5SPkw+RD46fi++JP4bvhQ+Dj4J/gX+Ab38vfZ97j3jfdZ9xv21/aQ9kr2CPXN9Zb1ZPU09Qf03PS19JP0d/Re9Ef0L/QT8/bz2PO786LzjfN582XzT/M18xfy+fLc8sTysvKm8p/ymfKS8obydPJb8j7yH/IA8eHxw/Gk8YLxXPE08Qvw5PDC8KXwi/Bx8FbwOPAY7/fv2e/A76rvle+A72fvSe8n7wPu3u667pfude5S7jDuD+3w7dLtte2Y7XftUu0q7QHs3ey/7KvsoOyc7J/spuyx7L7szeze7PDtBO0Y7SztQ+1a7XLtiO2b7ajtru2u7avtpe2e7Zbtje2D7Xntce1x7Xjtiu2k7cPt4+4C7h/uOu5U7m7uhe6Y7qPupu6l7qPupu6x7sXu3e7z7wPvCu8L7w7vGu8272Tvo+/t8Dzwi/DZ8SXxcfG78gTySPKG8rvy6fMQ8zXzWvOA86vz2PQJ9Dz0cPSi9NL0/fUj9UT1YPV79Zf1tPXT9fH2DfYl9jr2TfZi9n32oPbP9wj3TPeY9+j4O/iM+Nv5Jflt+bX5//pP+qf7B/tr+9H8NPyR/Of9N/2F/dH+H/5u/r7/Df9c/6v//ABPAKQA+AFGAYcBtwHWAeYB8QH9AhUCOwJxArMC+wNDA4cDxwQDBD0EdgSuBOUFGgVPBYYFvwX9BkEGiQbUBx8HaAevB/QINgh3CLYI9AkwCWsJpQneChYKTAqACrQK6QsiC2ALpAvrDDAMcQysDOENFw1TDZsN7g5KDqYO+g9AD3gPpQ/ND/gQKhBkEKQQ5hEmEWQRnBHREgASKRJKEmMScxJ/EooSlxKpEr8S2RL1ExITMRNTE3cTnRPEE+kUCxQrFEoUaxSRFLwU6hUbFUwVexWqFdgWCRY9FnIWphbXFwUXLhdVF30XpxfUGAIYLxhXGHkYlRisGMAY0xjmGPgZBxkSGRYZFRkPGQgZABj7GPcY9BjwGOkY3hjQGMIYsximGJoYjhiBGHIYYxhUGEYYORgtGB4YCxf0F9sXwhewF6YXpReqF7EXsxeuF6IXkReBF3YXcRdyF3cXfBeBF4YXjBeSF5kXnhedF5QXhRdzF2IXWBdUF1UXUhdFFykW/hbJFpEWXxY3FhkWBBXzFeUV2BXOFcwV0hXeFe0V9hX2FekV0RWyFZQVfBVtFWcVaBVwFX0VjhWjFbwV1BXoFfEV7BXaFbsVlhVxFVAVNRUdFQQU5hTAFJAUWhQhE+cTsBN8E00TIhL8EtoSvhKmEmMSWRJUElASShJCEjUSJBIPEfQR1BGxEY8RcxFhEVwRYRFrEXIRcBFjEU8RPRE2EUERXRGDEakRwBG+EaERbBEpEOMQoxBwEEsQLhAVD/kP1A+lD2sPKQ7iDpoOUw4PDc8NkA1UDRcM2gyeDGMMKwv2C8QLlwtsC0QLHAr0CssKoApyCkQKFAnlCbYJhwlWCSMI7gi4CIIITggdB+4HvweRB2IHNwcUBv4G+gcJBygHUAd6B54HtwfEB8UHvQetB5gHfwdiB0UHKAcQBvwG7AbfBtMGxQa0BqMGkQaBBnQGaQZgBlcGTgZFBjwGNAYrBiEGFQYIBfoF7gXnBeYF7AX5BgsGIQY6BlUGbwaFBpQGmAaPBnoGXgY/BiEGCQX2BeYF1QXABaUFhgVnBUwFOQUvBSwFLgUvBSsFIgUSBP8E7QTgBNwE4QTtBPsFBQUHBPwE5gTGBKIEfQRaBDsEHQP+A94DvQObA30DYwNPAz8DMQMjAxUDBgL3AusC4QLZAtMCzALCArYCpQKRAnoCXwJEAigCDQHzAdkBvgGjAYUBZwFIASoBDgD1AN0AxQCsAJIAdQBZADwAHv/+/9r/tP+K/2H/O/8a/v/+6f7Z/s7+yf7K/tH+2/7i/tz+wv6N/j/93P1x/Qj8rfxk/C38BPvj+8P7oft6+077Hvrt+rz6jvpk+kD6IvoI+fD51/m7+Zz5e/lZ+Tj5GPj4+Nj4tviS+G74S/gp+An36PfG96D3ePdO9yb2//ba9rb2kvZs9kX2H/X79dv1v/Wl9Y31dvVf9Un1M/Ud9Qj08/Tf9Mz0u/Ss9KD0kvSC9Gz0U/Q39B70CvP98/Xz7fPi89LzvfOl85HzgfN483PzbPNh80/zOPMg8wvy+/Ly8vDy8fLz8vXy9fLy8u3y5PLZ8s7yxfK+8rzyvPK+8r3yt/Kr8pnygvJn8knyKfII8ejxzfG58bLxuPHN8e3yEvI58lzye/KU8qvywPLU8uny/PMP8x3zJ/Mp8yPzE/L78t3yvPKf8onyevJz8nDybfJo8l/yUvJF8jnyMPIq8ibyJfIi8h/yHPIY8hTyE/IU8hvyJ/I68lPycvKU8rfy2vL88xvzOvNX83HziPOa86Xzq/Ou87DztfO+88zz3PPs8/v0CfQY9Cn0P/RZ9HX0lPSx9Mv04/T39Qj1FPUb9R31G/UW9RX1HPUv9U/1fPWy9e32KfZl9qD23Pcb91r3mffU+Aj4MvhS+Gn4e/iJ+Jb4ovit+LX4u/jB+Mr42fjy+Rf5Rvl8+bX57Pog+lD6gPq0+vD7NPuA+8/8G/xh/J/81v0I/Tn9aP2X/cT97f4S/jT+V/58/qb+0/8B/y3/V/98/6D/wv/lAAkAKwBJAGMAeACKAJ0AswDQAPMBHAFIAXUBoAHHAeoCCgIoAkgCaQKMAq8CzgLnAvgDAwMKAxIDIAM3A1cDfgOoA9AD9AQSBCoEQQRYBHMEkQSxBNIE8AUHBRYFHAUaBRQFDQUIBQgFDAURBRMFEgULBQIE+ATzBPQE/AUKBRsFLAU8BUoFVgVjBXAFfAWHBY4FkwWXBZsFpAWyBcYF3wX7BhcGMgZMBmUGfgaXBq4GwwbSBt0G4QbhBt0G2AbRBskGvwayBqIGjwZ9Bm0GYQZZBlYGVgZWBlMGTAZBBjMGJQYWBgkF/gX1Be4F6gXqBfAF+wYMBh8GMgZEBlMGYQZvBn4GjAaVBpMGgQZcBigF7AWzBYYFagVhBWMFaQVpBWAFTQUyBRME8wTRBKkEdgQ2A+oDlgNCAvICrAJvAjwCFAH5Ae4B9wITAj0CaQKGAogCZQIdAbsBTQDjAIoASAAeAAX/+P/w/+r/5f/i/+H/4P/e/9r/0//L/8X/w//J/9T/5P/2AAQADAAOAAsABwAGAAwAFwAlADEANQAxACcAIQAoAEcAgQDTATIBjgHaAg0CJwIuAi0CKwIvAjkCRQJRAl0CagJ7ApMCsgLVAvUDEAMkAzEDOwNHA1UDZgN4A4cDlQOhA60DvAPNA+ED9AQGBBUEIgQuBDoERgRRBFsEZARtBHkEhwSZBKwEvQTMBNcE4AToBPIE/QUKBRUFHwUoBTEFPgVOBWQFfAWUBakFvAXKBdcF4QXqBfAF9QX3BfgF9wX2BfMF7wXoBeAF2gXYBdwF5gX0BgEGCwYPBg4GDAYIBgIF+AXkBcMFlQVeBSQE8ATFBKUEjAR5BGcEVwRLBEYESQRTBGEEcAR/BJAEowS6BNUE7wUCBQsFBwT8BOwE3wTSBMQErQSIBFIEEQPMA40DWgM1AxsDBALtAtUCvQKuAqoCtgLQAvEDEgMuAz8DRAM+Ay4DFQL2AtACpgJ9AloCRAJDAl0CkwLfAzYDhgO+A9ADtwN3AyECyQKBAlYCSAJQAmACaQJjAk0CKgIAAdUBqwGCAVoBMgEPAPMA4QDZANQAywC3AJUAZgAx////1f+2/5z/g/9k/zv/Cv7W/qX+fP5c/kH+JP4A/c/9kP1F/PT8ovxX/Bf74/u6+5r7f/tm+0z7M/sa+wP67PrU+rf6kfpi+iv58fm5+Yn5ZPlJ+TT5H/kH+On4x/il+If4cPhf+FT4TPhF+Dv4Lvgc+AH33Peq92r3H/bO9n32MPXr9a/1efVH9Rf06vTA9Jz0ffRj9Er0MfQU8/Tz0/Oz85bzffNo81PzPfMl8w3y9vLj8tXyzfLH8sHyufKt8pzyhvJt8lTyPPIm8hHx/PHl8crxqfGE8VzxM/EM8OfwxfCk8IPwY/BC8CLwBO/p79Dvt++c737vXO857xXu8+7R7q/ujO5n7kHuG+327dPtsu2R7W7tSe0j7P7s3uzE7LPsquyo7Kzssuy87Mfs1Ozh7O7s++0I7RbtJu047UrtW+1p7XLtdu127Xbtde117XXtc+1u7WftYe1g7Wjteu2T7bHtz+3r7gTuG+4x7kfuWu5n7m3ua+5m7mXubO6A7p7uwO7d7u/u8+7u7uru8e8M7z7vgu/S8CfwefDH8RDxVvGa8dzyGPJO8n3ypPLI8uzzEvM782fzlfPD8/P0IvRS9IL0r/TZ9P/1IPU+9Vv1ePWU9a71xfXX9ef19/YL9ij2T/aD9sP3C/da9634APhU+KX48/k++Yb5z/oa+mv6w/si+4b77fxR/LD9B/1X/aH96f4v/nf+w/8S/2b/vgAbAHoA2AEvAXgBsAHUAeYB7QHzAgACGwJHAoECxQMMA1QDmAPZBBkEVgSRBMgE/AUtBV4FkgXMBg8GWQaoBvkHSQeVB94IIwhkCKMI3gkWCUwJgQm3Ce8KKgpnCqUK4wsiC2MLqAvvDDgMgQzIDQwNUA2UDdoOIA5kDqIO1w8DDygPTA93D60P7xA8EI4Q3hEoEWcRnRHKEe8SDhIoEj4SURJjEnYSjBKkEr8S3BL5ExgTORNcE4ETqBPPE/QUFxQ4FFsUgBSqFNgVCRU7FWwVnBXMFfwWLRZfFpEWwRbvFxoXRhdxF58Xzhf+GCoYURhyGIwYohi1GMcY2BjoGPYZABkEGQQY/xj4GO8Y6BjiGN0Y2RjUGM0Ywxi2GKcYmRiLGH4YchhmGFgYSBg3GCcYFhgHF/gX6BfYF8kXvBe0F7EXshe1F7UXrxejF5IXgRd2F3MXeReGF5QXnxemF6kXqBemF6IXmxeOF3oXYRdHFzIXJhckFygXKhcjFwsW4hatFnQWPhYTFfMV3BXJFboVrhWoFa4VwBXcFfsWExYbFg4V7xXEFZkVdxVlFWUVdBWMFacVwBXVFeQV7hXwFekV2BW9FZoVdBVPFTAVGBUEFPAU1xS2FIsUWhQlE+4TuROEE1ATHBLpErsSlBJ2ElUSSxJHEkUSQBI2EiYSEhH8EeQRyRGtEZEReBFnEV4RXxFjEWYRYxFXEUcRORE2EUIRXhGBEaARrhGlEYERShEJEMgQkRBmEEYQKxAPD+0Pwg+MD04PCg7CDnsONg31DbgNfw1IDRMM3gypDHUMQwwTC+cLvguYC3QLTwspCwAK1AqlCnUKQwoSCd8JrAl2CT0JAgjGCIwIVggkB/YHyAebB20HQQcdBwgHBQcWBzYHYAeKB6wHxAfQB9QH0AfJB70HrQeYB38HZAdKBzIHHwcPBwAG8QbgBs4GvAapBpgGhgZ0BmAGSgY0Bh4GCwX7Be4F4gXZBdAFygXJBc8F2wXvBgoGKgZMBm8GjwaoBrcGuQatBpYGdwZVBjUGGgYGBfUF5gXVBcAFqgWSBX0FbQVhBVsFVwVUBU8FRQU4BSgFGAUMBQUFBQUKBQ8FEQUJBPYE1wSxBIgEYQQ+BCEECAPvA9YDvQOkA48DfQNvA2IDVANDAy8DGwMHAvYC6gLgAtgCzgLDArQCogKMAnICVwI5AhsB/wHlAc4BtwGeAYMBYwFBAR4A/QDfAMMAqgCRAHcAXQBCACcADP/w/9H/rv+I/2P/Qf8k/w3+/P7u/uL+2f7T/tH+0v7Q/sT+pv5x/iT9xf1g/QD8rvxu/D78F/vz+8v7nvts+zn7CPrZ+q36hPpd+jj6F/n4+dz5wfml+Yf5ZvlD+R349/jQ+Kn4g/hf+Dz4Hff+9+D3wPed93f3T/cn9wP24fbC9qL2gPZa9jD2BvXe9bn1mfV+9WX1TvU49SP1DvT69Ob00fS99Kr0mvSM9IH0dPRj9Er0LPQM8+/z2vPN88fzwvO486Xzi/Nt81PzQfM58zjzOfM18yrzGPMA8ufy0vLB8rXyrvKp8qbyo/Kh8p3ymfKS8ozyhvKD8oTyhvKH8obyf/Jz8mTyU/JC8jHyHvIH8ezxz/Gz8Z3xk/GX8afxwfHh8gLyI/JC8l/ye/KV8q7yw/LU8uHy6fLt8uvy5PLX8sfys/Kg8o7yfvJy8mfyXfJR8kPyM/Ih8hDyAPHz8ejx4fHd8dzx3vHh8eXx6PHt8fPx/PIL8iHyP/Jk8o7yu/Lp8xTzO/Nd83fzifOT85bzlfOS85HzlfOf86zzvfPP89/z7vP99A30IPQ29E/0a/SI9KT0wPTZ9PD1A/US9R31JfUt9Tr1T/Vv9Zv10vYR9lX2m/bh9yX3Z/em99/4Efg8+F34d/iK+Jf4oPim+Kn4q/it+LD4tvjA+NH46fkK+TP5YvmV+cn5/Pot+l36jvrF+wX7Tvug+/b8SfyU/NX9Cv03/WD9h/2v/df9/v4j/kj+bf6W/sL+8f8i/1P/gf+r/9L/9wAaADsAWQByAIgAmwCtAMEA2gD5AR8BSwF6AaoB2gIIAjQCXQKDAqcCyALmAwADFQMlAzEDOgNEA1MDZwOCA6QDyAPrBAwEKARABFYEbASDBJ0EugTYBPYFEQUnBTYFPgU+BToFNAUuBSoFJwUkBR4FFQUIBPkE7QTmBOYE7QT4BQQFDwUaBSMFLgU8BUwFXQVtBXoFhAWMBZQFnwWuBcQF3gX6BhcGNAZQBmoGhAadBrQGxwbVBtwG3QbaBtQGzQbGBr4GtAanBpgGhgZ2BmkGYQZfBmEGZQZoBmgGYwZbBlEGRwY+BjkGNQYzBjQGNgY9BkcGVQZlBnQGgAaHBowGkAaWBqEGrga5BroGrAaMBlwGJAXuBcMFqQWeBZsFlQWEBWIFLwTyBK8EbgQwA/UDvQOFA00DGQLqAsICoAKDAmcCTQI2AikCKwI/AmAChgKkAqwCkwJYAf8BlgEqAMkAfQBHACYAFgAQAA8AEAAQAA4ADAAKAAcAAwAA//3/+v/4//f/+f/9AAMACAALAAsACwANABMAIQAzAEUATwBNAD8AKwAfACgAUACYAPgBYQHBAgsCOgJSAlsCYAJmAnECfAKGAowCkgKbAqsCwwLhAwADGgMuAz0DSgNXA2YDdwOIA5UDoAOpA7QDwQPSA+QD9gQGBBQEIwQzBEYEWgRsBHkEgwSKBJEEnQStBMAE0wThBOwE8wT6BQMFEQUhBTAFPgVJBVQFYAVyBYkFowW8BdAF3gXlBegF6gXuBfMF+gYABgQGBgYEBf8F+AXuBeMF3AXaBd8F6gX4BgUGDQYPBg0GCQYHBgQF/QXtBc4FoQVqBTIE/wTXBLkEnwSFBGYEQgQgBAUD+AP8BBAELwRUBHwEpQTMBO4FBwUTBQ8E/ATfBLwEmARyBEgEFQPYA5IDSgMJAtgCuAKoAqECmgKOAn4CbgJjAmMCcAKHAqICvwLZAvIDCAMdAy4DNQMvAxUC5wKpAmQCJQH9AfgCHAJmAssDMwOFA6wDnQNbAvcCigIwAfkB6wH9Ah0COAI/Ai4CCAHXAaIBcgFHASEA/wDhAMkAuQCvAKkAoACPAHQATgAj//r/1f+3/5v/fv9a/y//AP7S/qv+jP50/l7+Qv4a/eP9n/1R/QD8s/xt/DD7/PvN+6L7eftS+y37DPrx+tr6x/qy+pf6c/pF+g751Pmd+Wz5Rvko+Q/4+fjg+MX4qviQ+Hv4avhf+FX4TPhB+Db4KPgX+AH34ve193r3Mfbe9or2OvXy9bX1gPVR9SP09/TM9Kb0hPRo9E/0NvQc8/7z3vO+86HzhvNu81nzRvMz8yTzF/MN8wXy/vL08uby0/K88qTyjfJ58mjyW/JQ8kXyOPIo8hLx9vHT8azxgfFU8Snw//DY8LTwkvBx8FPwN/Ac8ALv5u/I76fvg+9d7zjvE+7v7svupu5/7lfuL+4H7eLtvu2c7XntVu007RXs++zm7Njsz+zL7Mnsy+zQ7Njs4ezq7PPs+u0A7QbtDu0X7SPtLu037T3tP+1B7UPtR+1N7VPtVu1W7VPtT+1P7VftZ+1/7Zrttu3P7eXt+e4M7hzuKe4x7jLuL+4s7jDuQe5g7onus+7T7uPu4u7W7szuz+7q7x7vZe+48AzwW/Cl8OnxK/Fs8avx5vIZ8kXya/KO8rPy3PMI8zXzYfOL87Lz2fQC9C30WfSG9LL02vT+9R71OvVS9WX1c/V99Yb1k/Wp9c72AfZC9oz23Pcs93v3yfgW+GT4svkB+U75mvnn+jb6ivrl+0n7svwd/IT84f0y/Xf9s/3s/ij+a/64/xD/cv/bAEcAsQETAWcBpwHTAesB9AH3Af4CEAIwAl8CmALYAxkDWwOdA+EEJQRqBKsE5wUdBU8FgQW3BfUGOwaIBtkHKQd3B8IICghQCJMI0QkKCT8JcgmmCd8KHQphCqYK6wsuC24LrgvwDDYMgQzODR4Naw20DfcOMA5gDoYOpA6/Dt0PBg89D4UP2hA3EJQQ6BEvEWgRlRG4EdUR7hIGEh0SNBJMEmYSgxKiEsMS5BMFEycTSRNsE5ATtBPZE/0UIRRHFHAUnBTNFP8VMhVkFZQVxBXzFiEWURZ/FqwW2BcEFzEXXxeRF8MX9BghGEcYZxiAGJYYqRi9GNAY4BjsGPIY8xjvGOgY4BjZGNIYzRjIGMIYvRi2GK4YpBiXGIgYeRhqGFwYUBhEGDgYKhgaGAkX9xfnF9kXzxfHF8IXvxe+F70XvBe5F7IXqRedF5MXjBeNF5YXpBe0F8AXxRfAF7MXoBeMF3cXYhdLFzIXGRcCFvIW7BbwFvkW/xb7FuYWwRaQFlsWLBYHFe4V3RXQFcIVtBWoFaMVqRW6FdIV6BX1FfEV3BW8FZsVgxV8FYgVoxXHFeoWBRYSFhIWBhXxFdUVtRWTFXAVThUwFRgVBRT1FOIUyRSoFH8UTxQdE+wTvBOME1oTJRLvEroSjRJqEnASYRJYElASQxIyEhwSBBHuEdkRxRGwEZkRgRFsEVwRUxFPEU4RSxFDETgRMBEvEToRTxFpEXwRgRFwEUoRFRDZEJ8QbhBIECgQCg/qD8IPkg9bDx4O3Q6cDlwOHw3lDa8NfQ1LDRoM6Qy3DIYMVwwsDAYL4gvBC6ALfgtZCzELBwraCqwKfApJChMJ2AmYCVQJDgjKCIkIUAgfB/UHzgeoB4IHXgdBBy8HLQc7B1cHeQeaB7QHxgfPB9MH1QfVB9MHzQfBB68HmQeBB2sHVwdGBzYHJQcSBv0G5gbOBrYGnQaCBmUGRQYlBgcF7QXYBckFvgW3BbQFtAW5BcUF2QXzBhIGNQZYBngGkgakBq0GqgadBogGbgZTBjgGIAYKBfYF4gXOBbgFowWPBX0FbwVlBWAFXQVdBVsFVwVQBUMFMwUjBRMFBwT+BPcE7gTgBMkEqwSJBGUERQQpBBED+wPnA9EDvAOoA5cDiAN8A24DXgNKAzQDHQMKAvoC7QLjAtgCygK6AqcCkwJ9AmYCTAIvAhIB9AHXAb0BpAGMAXABUgEwAQ0A6gDJAKsAjgByAFYAOgAgAAj/8f/a/8D/of9//1z/PP8i/w//AP7z/uX+1v7H/rz+tf6v/qP+iP5Y/hH9t/1V/Pj8qvxt/D78GPvw+8P7j/tY+yH68PrG+qH6f/pd+jn6FPnw+c35q/mJ+Wb5QfkZ+O74w/iY+G74SPgl+AX36ffN97H3k/dx90z3J/cD9uT2yPav9pT2dfZQ9ib1+fXN9aP1fvVe9UL1KvUW9QX09fTm9NX0wfSs9Jf0hPR19Gj0W/RL9DP0FPPy89LzuvOr86Tzn/OW84Xza/NO8zPzH/MU8xLzEfMN8wPy8vLc8sXyrvKb8oryffJz8mzyaPJm8mXyY/Jh8l/yXfJe8mHyZPJl8mHyWPJK8jryLPIh8hjyD/IB8e3x0vGy8ZTxfPFv8W7xePGK8aLxv/Hd8f7yH/I/8lvyc/KF8pHymPKc8pzym/KW8o/yg/J08mLyTfI48iPyEfIC8fXx6fHd8c/xwfGy8aXxnPGY8Zvxo/Gu8brxxPHN8dTx2/Hm8fjyEvI28mPyl/LN8wLzMPNV823zevN983jzcPNp82bzaPNx837zkPOj87bzx/PY8+jz+fQN9CP0PvRb9Hv0nPS99Nv09/UP9SX1O/VT9XD1lPXA9fT2L/Zw9rf3APdK95L31fgP+D74Yvh++JT4pvi4+Mj40/jY+NX4zPjC+L34wvjV+PX5IPlP+YD5rvna+gP6K/pU+oD6sfrq+yz7ePvM/CL8dvzC/QH9NP1c/X/9of3G/e/+Gv5I/nb+pf7V/wb/OP9p/5f/wf/lAAYAJQBDAGEAfwCdALoA1gDzARMBNgFdAYcBswHgAg0COQJkAo0CtALYAvkDFQMtA0ADTgNaA2QDbwN+A5IDrAPLA+0EEAQwBE0EZQR6BI4EoQS3BM4E6AUCBRwFNAVHBVUFXQVfBVwFVgVPBUcFPgUzBSQFEgT9BOoE3ATVBNYE3gToBPME/AUEBQsFFQUhBTIFRAVVBWQFcQV7BYcFlAWmBbwF1QXvBgoGJAY9BlcGcAaKBqAGswbBBscGyAbDBrsGsQamBpsGjgaBBnQGaAZgBl0GXwZlBmwGcwZ1BnMGbQZmBmEGXwZhBmkGdAaABowGlwahBqkGrgawBq4GqAahBpsGmwajBrMGxQbUBtcGyQapBnoGRwYZBfYF4AXRBcEFpAV0BS4E2AR5BBwDyQOEA04DJgMHAvEC4gLXAs8CxgK5AqUCjAJyAl0CVQJeAngCmgK4AsYCuAKJAjsB1gFpAQEAqgBrAEUANAAyADcAPAA8ADcAMAAoACUAJQAnACkAJgAdAA8AAf/2//L/9f/8AAUADAATABwAKwBAAFcAaQBuAGMASQAuACIAMQBiALIBEgFxAcAB9wIZAi4CQAJTAmoCfwKPApYCmQKdAqgCvQLZAvcDEwMpAzoDSANYA2oDfgORA58DqgOzA7wDyQPZA+oD+QQFBA8EGwQrBEAEWQRyBIUEkgSaBKEEqgS6BM0E4QTxBPwFAwUJBRIFIQU0BUkFWgVoBXMFfgWOBaMFvAXVBekF9gX8Bf8GAQYEBggGDQYPBg0GCQYBBfgF7wXnBeIF3wXhBekF9AYBBgwGEgYUBhMGEgYTBhMGDQX9Bd0FrgV2BTwFCATfBL4EoAR+BFYEKAP/A+ID2gPpBAwEOwRvBKEEzgT0BREFIAUgBQ4E6QS1BHYEMgPrA6MDWAMPAssCkwJvAmACZQJ1AocCkQKPAoMCcwJmAl8CXwJiAmYCaQJrAnECfQKRAqwCxgLYAtsCygKmAnUCQAIUAf4CBwIyAngCyQMPAzUDLQL1ApwCNwHfAagBmQGpAccB4QHoAdYBrwF+AU0BJAEGAO8A2wDJALcApgCXAIoAfABqAFMAOAAb//3/4P/E/6T/fv9R/x/+7P7A/p3+hv53/mr+Vv42/gj9zv2L/Ub9Afy+/H78P/wA+8L7hftO+x769/rY+r/6p/qO+nD6S/of+fD5v/mR+Wj5Rfkn+Qz48fjV+Lj4nPiB+Gr4VfhE+DP4IvgR9/737PfZ98L3pfd+90n3CfbA9nT2LfXu9br1jvVm9T71FfTq9MH0nPR89GH0SfQx9Bjz/fPf88LzpvOO83nzZ/NZ80/zSPNB8znzLfMa8wLy5fLH8q3ymfKM8oXygfJ98nbya/Jb8kbyLPIM8efxvfGR8WXxO/EU8PHw0PCy8JTwd/BZ8DvwHO/679bvsO+J72LvOu8T7u3uyO6i7nzuV+4y7g7t6u3H7aPtge1h7UXtLu0c7Q/tBOz77PTs8Ozu7PHs9uz77QDtAu0D7QLtAu0E7QntD+0U7RjtGu0b7R7tJO0s7TTtOu097TztOu077UPtUu1n7YDtmO2v7cLt0+3h7e7t9u367frt9+357gTuHu5G7nbupe7I7tju1u7K7sDuxe7g7xPvVu+h7+vwL/Bv8Kzw7PEt8W/xrfHj8hDyNvJa8oDyqvLY8wfzMvNY83rzmvO78+H0C/Q39GX0kvS79OD0//UX9Sb1LfUv9TH1OvVR9Xz1u/YJ9mD2t/cK91f3nffi+Cn4dfjF+Rf5avm7+gz6X/q4+xj7gPvr/FP8sf0A/T79b/2Y/cT9+f49/pL++P9r/+YAYQDXAT8BkwHOAfECAAIDAgYCEAInAkwCfAKyAusDJQNiA6QD7AQ5BIUEzgUPBUgFfQWyBesGKwZyBrsHBgdQB5kH4wguCHgIvgj+CTgJbgmiCdkKFwpbCqQK7QszC3QLsgvvDC4Mcwy8DQgNUg2XDdMOBQ4uDlEOcg6XDsUPAA9KD58P+xBVEKcQ7REmEVERdRGTEa8RyxHnEgMSIBI9ElwSfRKfEsQS6RMOEzQTWhOBE6cTzBPwFBUUOhRjFI8UvxTxFSQVVxWIFbYV5RYTFkEWbxadFskW9BchF1AXghe1F+cYFBg6GFkYcBiEGJgYrRjCGNYY4xjoGOUY3BjRGMcYwRi9GLwYuxi4GLIYqhigGJYYihh8GGwYWxhJGDoYLBghGBcYDBgAF/IX5BfXF84XyRfIF8kXyhfIF8MXvBezF6oXoxegF6IXqRe1F8UX0xfeF+AX1xfEF6gXhxdkF0IXJBcKFvUW5RbbFtgW3BblFu0W7hbjFskWoRZwFkAWFxX7Fe0V6BXnFeEV1BW/FagVlBWMFZAVnhWxFcEVyRXIFcEVuhW8FcoV5BYEFiMWOBY8Fi8WFRXxFcsVpxWHFWsVUhU7FSYVDxT1FNcUshSFFFQUIBPvE8ITnBN5E1UTLhMDEtYSrBKJEpoShhJ2EmUSURI4EhwSARHpEdURxBGzEZ8RhhFrEVIRPREvESYRIBEYERARChEHEQwRFxElES0RKhEWEPIQwhCMEFgQKhADD+EPwA+dD3UPSA8WDuEOqw51DkEOEQ3lDbwNkw1pDTsNCQzVDKEMcAxFDB8L/gvfC8ALngt6C1QLLAsECtoKrQp7CkMKBAm+CXMJJgjbCJcIWwgqCAIH4AfBB6UHigd0B2YHYwdrB3wHkgemB7YHvwfFB8gHywfPB9IH0gfNB8IHtAekB5UHiAd7B20HWwdGBy0HEAbyBtQGtAaTBnAGTAYpBgcF6gXTBcIFtwWyBbEFtgXABc8F5AX9BhgGMwZLBl4GawZyBnIGbgZlBlkGSwY7BioGFwYCBesF0wW6BaEFiwV3BWYFWQVQBUoFSAVIBUgFRQU+BTIFIAUKBPQE4ATPBMIEtASlBJEEeQReBEMEKgQUBAAD7QPZA8UDsQOfA5ADgwN2A2gDVgNAAyoDFgMFAvkC7wLjAtMCvwKnAo8CeAJkAlECPQImAgsB7QHNAa0BjwFxAVMBMgEPAOwAyQCoAIgAaQBKACwAD//1/+D/zP+5/6P/iP9n/0b/J/8O/vz+7v7g/s3+t/6h/o7+hP5//nv+bf5K/g/9vf1e/P/8q/xn/DL8Bfva+6n7c/s7+wb62Pqy+pL6dPpU+i/6B/nd+bT5i/lk+Tz5Evjm+Ln4i/hf+DX4EPfv99P3uPef94b3afdK9yj3Bvbk9sf2rfaV9n32YvZB9hv18fXE9Zn1cfVM9S31EvT+9O304PTU9Mb0tfSg9Ir0dvRm9Fn0TfQ+9Cj0CvPo88bzqvOX84zzhfN882zzVvM88yLzDvMA8vfy7/Lk8tXywvKu8pnyhvJ38mnyXfJT8kzySfJH8kjySPJJ8knyS/JO8lTyWfJb8lbyS/I68ifyFfII8f/x9/Hs8drxwfGh8YHxY/FM8T/xPPFD8VLxaPGE8aTxxvHp8gjyIvI18kDyRfJG8kLyPPI18ivyHvIM8fTx2PG68Z7xh/F48XHxcPFw8W7xafFg8VfxUvFS8VnxZ/F58YzxnfGs8bfxwfHO8d/x+PIc8kryf/K38u3zG/M881DzVvNS80nzP/M38zTzNvM+80rzWvNt84HzlPOm87fzx/PZ8+70CfQq9FH0evSk9M308vUU9Tf1W/WD9bH15fYd9ln2l/bX9xn3Xfeh9+T4H/hS+Hj4lvit+MX43/j++Rz5M/k9+Tb5I/kM+Pz4/vkW+UT5fvm8+fT6IfpD+mD6ffqd+sX69Pss+2z7svv//E/8nPzj/SD9Uf15/Z39wv3t/h7+Vv6R/s3/B/9A/3b/qf/X//8AIAA8AFQAbQCJAKoA0AD6ASYBUQF8AaYB0AH6AiQCTQJ1ApsCvwLgAv4DGQMyA0cDWQNpA3gDhQORA54DrQO+A9MD7QQKBCkESARlBH8ElwSsBMEE1gTsBQQFHQU2BU8FYwVyBXoFewV1BWsFXwVUBUsFQQU1BSYFEwT+BOwE3wTZBNwE5ATuBPgFAQUJBRIFHQUrBTsFTAVbBWgFdAWABY0FnQWwBcUF2wXxBgYGHAYxBkgGXwZ1BooGmwanBq4GrgapBp8GkgaCBnIGYgZVBk0GSgZOBlYGYQZsBnQGdwZ0Bm8GaQZmBmkGdAaGBp4GtwbPBuQG8wb7BvsG9AblBtEGvAaqBqIGpga2Bs8G6Ab3BvYG4Qa7BosGWwYzBhYGAAXoBcUFjgVBBOEEeAQRA7gDcQNAAyEDEQMKAwgDCQMKAwgDAALwAtcCuAKXAnwCbAJsAnwClwKzAsUCwQKgAmMCDAGnAT8A4wCcAG8AWgBYAF8AZQBlAF0AUABDADsAOgA+AEIAQAA1ACIADf/8//X/+gAHABYAIQAnACwANQBGAF4AdgCEAIAAagBJAC0AJQA6AGsArgD0ATEBXgF/AZwBvgHnAhMCOgJVAmICZQJoAnQCjwK1AuADCAMnAzwDTANcA28DhQObA64DuwPEA80D2APmA/UEAQQKBBAEFgQiBDUETgRpBIAEkQSbBKIErAS7BNAE5gT7BQkFEwUbBSYFNgVKBV8FcQV+BYcFkAWcBa0FxAXbBfAGAAYKBhAGFQYZBh0GHgYaBhIGBwX7BfEF6gXmBeUF5gXqBfAF+gYGBhMGHQYlBioGLAYsBiYGGAX8BdIFnAVgBScE9wTTBLcEmwR7BFQELAQLA/sEAwQhBFAEhQS5BOYFCQUkBTYFPAUyBRIE3ASRBDcD1QNzAxYCxAJ/Ak0CMQItAj8CYAKEAqMCtAK1AqsCnAKMAn4CcgJjAk8CNQIZAgAB8AHsAfMCAwIYAi4CQAJLAk0CRAI0AiECFAIUAiQCQQJiAngCdwJaAiQB4gGkAXkBZgFoAXQBfAF2AWABQAEeAQMA9ADvAO8A7gDnANgAwgCoAI0AcgBZAEAAKQAT//7/6P/Q/7H/iv9Z/yT+7f69/pb+fP5q/l3+Tv45/hv99f3I/ZX9Xf0f/Nr8j/w+++37oftf+yj6/vrb+r36nvp9+lj6MvoM+ej5yPmr+Y75cflS+TD5Dfjp+MT4oPh8+Fv4PPgh+Aj38ffc98b3sPeX93v3W/c09wX20PaY9l/2K/X+9dn1ufWa9Xj1UPUk9Pb0yvSk9Ib0bfRY9EH0KfQN8/Hz1fO986jzmPOM84LzefNv82HzT/M28xny+/Lg8svyvfK38rXysvKs8qHykPJ88mPySfIr8grx5/HC8Z3xe/Fb8T7xIfEE8OTwwvCd8HjwUvAs8AXv3u+374/vaO9B7xzu+e7X7rXulO5z7lHuLu4J7eTtwe2h7YXtb+1d7U/tQ+027SrtIO0Z7RXtFO0V7RXtE+0P7QrtBu0E7QXtBu0H7QftBe0E7QXtCe0P7RftHu0j7SXtJu0p7THtPu1R7Wbte+2O7Z/tre257cPty+3P7dDt0e3X7efuBO4t7l7uje6x7sXuyu7H7sXuz+7r7xjvUO+M78fv/fAx8GjwpfDn8S3xbvGo8dfx//Ij8knydPKi8tHy/fMk80TzYvOB86PzyvP19CL0UPR+9Kj0zfTq9Pz1AvUB9P71A/UY9UP1hfXZ9jb2lPbr9zn3fve/+AL4S/ib+PD5SPmf+fT6Sfqg+vz7XPvA/CH8efzC/Pv9JP1C/V79gf2z/fj+U/7D/0T/zwBcAOEBUwGqAeIB/QIFAgYCDAIeAj8CbAKfAtMDBgM7A3YDuQQFBFYEpgTwBTEFbAWlBd8GHQZgBqQG6AcrB3AHtwgDCFIIoAjqCSwJZQmZCc0KBgpHCo0K1wsgC2QLpAvhDB0MXAyeDOANIQ1eDZYNyA34DikOXQ6aDt8PLA9/D9MQIRBmEKAQzhD0ERURNRFYEXwRohHHEesSDRIvElESdBKZEr8S5hMOEzgTYxOPE7oT5BQMFDMUWhSDFK8U3RUOFT8VbxWeFcwV+hYoFlgWiBa4FugXFxdHF3gXqRfaGAcYLRhMGGMYdRiGGJkYrRjAGM8Y1hjTGMkYuxivGKYYpBinGKsYrRiqGKMYmBiLGH4YcRhjGFMYQhgwGCAYEhgHF/4X9hfuF+QX2xfUF9EX0RfUF9YX1hfQF8UXuRetF6YXphesF7gXxxfWF+MX6xfsF+YX2BfBF6MXgBdaFzUXFRb9FvAW7RbyFvwXCBcRFxMXCxb1FtIWpBZvFjsWDxXwFeIV4RXmFesV5RXSFbQVkRV2FWsVdxWWFcAV6xYLFhwWHxYcFhoWIRYvFj8WShZIFjYWFxXxFcwVrRWVFYQVcxVeFUEVGxTuFLoUgRRGFAoT0ROgE3kTXBNHEzcTJBMMEvAS0BKzEq8SmxKJEnYSYBJFEiYSBhHpEdERvhGsEZcRfhFgEUERJBENEPsQ7RDgENUQyRDBELwQvBC/EL8QtxClEIcQXxAxEAMP1w+vD4oPaA9HDyYPAg7bDrIOhg5bDjIODQ3tDdANtA2TDWsNPA0HDNEMngxwDEoMKQwKC+kLxgufC3YLTQsiCvgKywqaCmQKKAnlCZ4JVAkKCMQIhghRCCYIAwfnB88HuwerB6AHmwecB6MHqweyB7YHtge1B7MHswe0B7YHtwe1B7EHrAenB6QHoQedB5YHiAd0B1oHPAcaBvgG1gazBo8GbAZIBicGCQXwBd0F0QXLBcsF0QXcBeoF+QYIBhYGIAYnBisGLQYtBi0GLQYsBioGJQYcBg8F/QXnBdAFuQWkBZEFgQVyBWQFVwVKBT4FNAUqBSEFFgUIBPYE4gTNBLkEqASaBI8EgwR2BGUEUQQ6BCQEEAP8A+oD1wPDA7ADnwOSA4kDgAN3A2oDVwNBAyoDFwMIAvwC8QLjAs4CswKVAncCXgJLAjsCLAIZAgAB4QG/AZsBeAFVATIBDgDqAMQAoAB9AFsAOwAa//r/2//B/6z/mv+J/3X/XP8+/x//Av7s/tv+zf69/qf+jP5v/lj+Tf5O/lX+V/5G/hv91f15/Rb8t/xk/CH76fu3+4T7UPsb+ur6vvqa+nr6W/o4+hH55vm7+ZD5Z/k/+Rf46/i++I74X/gy+Ar35vfH96v3kvd592D3RPcl9wT24vbA9qH2hvZu9lj2QvYo9gn15vW/9Zf1cPVK9Sf1CfTv9Nv0y/S+9LD0oPSN9Hn0Z/RY9Ez0QfQz9B70AvPf87vzm/OC83DzYvNV80XzMfMc8wfy9vLp8t3y0PLB8q7ymfKF8nLyY/JW8kryP/I28i7yKfIn8ijyKfIs8jDyNvI/8knyUfJU8k/yQvIv8hnyBfH08ejx3vHS8cHxq/GP8XHxVPE68SfxHPEa8SLxNPFN8WzxjvGw8c/x6vH88gXyBPH68enx1PG+8anxlfF/8WTxRvEm8Qjw8fDl8OPw6fDy8Pnw+/D58Pbw9/D+8Q7xJPE+8VnxcvGI8ZvxrfHB8dfx8/IX8kPydPKo8tfy/vMX8yLzIvMb8xDzCPMD8wLzBfMM8xXzIfMw80LzVPNm83bzhvOY87Dz0PP59Cr0YfSZ9M71APUv9V31jvXE9gD2QfaE9sf3BvdB93n3rvfh+BH4Pvhm+Ij4p/jH+Ov5F/lI+Xj5nfmu+ar5k/l2+WD5Xvl3+an56Poq+mL6jfqr+sP63Pr8+yT7VPuJ+8P8APxB/IT8yP0H/T/9b/2Z/cL98P4m/mf+rv74/z//gf+9//MAIwBNAHAAjQCmALwA1gD2AR8BUAGGAb0B8QIgAkoCcAKUArgC3QMCAyYDSANkA3oDigOVA5wDowOrA7UDwgPRA+AD7wP+BA4EHwQzBEkEYgR7BJQErQTGBOAE+wUXBTUFUwVxBYoFnQWmBaQFlwWDBWsFVgVFBToFMwUsBSQFGgUPBQUE/wT+BQMFCQURBRgFHwUpBTUFRQVYBWoFewWJBZUFoAWsBboFyAXYBecF9gYEBhMGIwY1BkgGWwZtBnwGigaTBpgGmQaUBooGewZqBlgGSgZCBkIGSgZYBmcGdAZ7BnwGdQZsBmUGZAZsBn8Gmga7Bt0G/AcWBykHMwc0BysHGwcEBusG1QbHBscG1QbuBwsHIQcoBxoG+AbIBpQGZAY+BiEGBgXiBa4FZgUMBKkESgP3A7kDjwN3A2sDZQNgA1wDVANKAzsDJQMJAucCwgKfAoMCcgJvAnkCiwKgAq8CrgKZAmsCJQHOAW8BFQDLAJgAfgB5AIAAiQCMAIYAeABoAFsAVQBVAFcAVQBLADsAKAAaABcAHwAvAD8ASABJAEUARABNAGAAeACMAJAAggBmAEcAMgAyAEYAaACNAKwAxADbAPsBKQFkAaMB2AH6AgcCCAILAh8CSwKLAtIDEgNBA1wDagNzA4ADkwOqA8AD0QPcA+QD7AP3BAQEEAQYBB0EIAQnBDQESQRiBHoEjQSZBKEEqwS7BNAE6QUCBRYFJQUxBT0FSwVdBW4FfgWIBZAFmAWiBbMFyAXfBfMGAwYMBhIGFgYZBhsGGwYYBhEGCAX/BfkF9QXyBe8F7QXrBewF8wX/Bg4GHwYtBjUGNgYtBhkF+gXPBZsFYgUtBQEE4QTMBLwEqgSRBHIEVARABEAEVwSABLQE5gUQBS4FQQVMBVEFSwU0BQYEvwRgA/IDfwMUArgCcQJCAioCKQI7AlsCgQKkAr0CyALHAr4CsQKkApYChgJwAlECKwICAdoBtwGZAYQBdgF0AX0BkwGyAdMB7QH4AfAB2QG7AaMBmAGdAa0BvQHGAcABrQGSAXYBXgFLAToBJwESAPsA6ADeAOAA7QEAAREBGgEVAQMA5QDCAJwAeABXADkAHwAJ//T/4f/L/7H/kP9p/zv/Cf7Z/qz+hv5n/k3+OP4j/g799/3d/bz9kf1b/Rf8xvxt/BL7v/t5+0L7F/r1+tP6r/qG+l36OPob+gX59vnm+dL5tvmR+Wf5OfkM+N/4tPiI+F74NvgU9/f34PfM97f3nveA91z3NPcK9uD2ufaT9nL2VPY69iP2DPXw9c71o/Vw9Tv1CPTd9Lz0ovSN9Hf0X/RE9Cj0DvP58+jz2/PP88Lzs/Oh84vzcvNY8z7zJ/MU8wfy//L68vXy7PLd8snysPKV8nnyXvJC8ibyCvHt8dPxuvGj8Y3xdPFX8TTxC/Dg8LTwifBf8DjwEe/r78XvoO9971vvOu8a7vru2u647pbuc+5Q7i3uDO3u7dPtvO2p7ZjtiO147WftWO1L7UHtOu007S/tKu0k7R7tGe0W7RTtEe0N7QXs/ez17PHs8ez27P/tCO0R7RbtG+0g7SftM+1C7VPtZe127YXtku2e7ajtsO227bvtwO3I7dft8O4U7j7uae6O7qnuuu7D7s3u3e747x7vS+9776nv1vAD8DbwcPCw8PPxNPFt8Z3xxvHs8hPyPfJr8pnyxPLr8w7zLvNO83Dzl/PB8+70HfRO9H30qfTN9Ob08fTy9O/08PUB9Sb1Y/Wz9g/2bvbJ9xv3Zveq9+/4N/iF+Nr5M/mO+en6RPqe+vf7Ufuq/AD8TfyQ/MT86v0E/Rj9LP1I/XP9s/4N/oH/Dv+pAEgA2gFSAagB2QHtAfIB+AIJAioCWgKQAscC+wMsA2ADmwPgBCwEegTGBQwFTAWLBcoGDQZSBpYG1wcVB1MHlAfbCCoIewjLCRMJUQmHCbkJ7QomCmcKrQr1CzsLfgu/C/8MPwyADMAM/g06DXMNrA3mDiQOaA6yDwEPUA+cD+AQGRBGEGoQiBCmEMcQ7REZEUgRdhGjEc0R9RIcEkMSaxKSEroS4RMKEzQTYBOPE78T7hQbFEYUcRSbFMcU9RUkFVQVgxWxFd8WDBY7FmwWnhbSFwUXOBdrF5wXyxf3GB0YPRhWGGsYfBiLGJsYqRi0GLkYuBixGKUYmRiQGIwYjhiSGJYYlhiRGIcYexhtGF8YUxhHGDsYLRgfGBEYBRf6F/IX6hfiF9sX1RfSF9MX1hfaF90X2xfUF8gXvBe0F7MXuRfGF9UX4xftF/AX7hfoF+AX1BfFF68XkxdxF08XMBcbFxMXGBcmFzgXSBdQF08XQxctFwsW4BasFnIWOBYGFeIV0RXRFdkV3hXXFcEVoBWCFXMVgBWrFeoWLhZkFoIWhRZ0Fl0WTBZGFkkWTRZIFjYWFxXxFc8VtRWmFZoVixVxFUcVDhTLFIQUPhP8E8ATixNfEz0TJxMaExMTDRMEEvMS3hLGEqgSlBKEEnUSYxJKEisSBxHjEcIRphGPEXgRYBFGESgRCxDxENsQxxC2EKUQlBCFEHgQbhBnEGEQVxBHEC8QEA/qD8EPmA9xD04PMA8VDv0O5Q7KDqoOhQ5eDjcOFA34DeINzg22DZgNcA1BDQ8M3gyzDI4MbQxODCsMAwvWC6QLcAs8CwgK1gqlCnMKPwoJCc4JjwlMCQkIyAiNCFsIMggTB/wH6wfeB9UH0AfMB8oHxwfDB7sHsQemB5sHkgeLB4gHhweIB4sHkQeYB6EHqgevB7AHqQebB4UHaQdIBycHBAbjBsIGogaCBmIGRAYpBhMGAgX6BfgF/AYEBgsGEAYRBg8GCQYDBf8F/QYABgUGCwYQBhEGCwX9BekF0QW5BaQFlgWOBYwFiwWHBX8FcQVdBUYFLgUVBP4E5wTSBL0EqgSZBI0EhAR9BHQEaQRaBEYEMAQZBAQD8APdA8oDtwOlA5YDjAOIA4kDiwOJA4EDcANZAz8DJwMTAwMC8wLgAscCqQKIAmgCTgI5AigCFwIBAeUBxAGfAXoBVQEyAQ8A6gDEAJ0AdgBQACsACP/k/8H/oP+D/2v/WP9G/zT/Hv8F/ur+0v6//rD+ov6S/nr+XP49/iX+G/4f/i7+Ov43/hr93f2H/SH8uvxb/Ar7x/uO+1r7KPr3+sn6oPp6+lf6MvoL+eL5uPmQ+Wr5Rvki+Pz40Pig+G74PPgP9+f3xfeo9433c/dZ9z33Hvb99tr2tvaT9nP2V/ZA9i32G/YH9fD10/Wz9Y/1a/VG9SP1A/Tl9Mz0t/Sk9JT0hPRz9GP0U/RG9Dn0LfQe9Anz7fPL86jzhfNn80/zOvMo8xbzBfL08ufy3fLV8s3yw/K18qPyjvJ68mfyVvJG8jfyJ/IY8gryAPH68fnx+/IB8gryF/Im8jTyPvJA8jnyKfIT8f3x6fHZ8c3xxPG78a/xoPGM8XXxXPFD8SzxG/ET8RTxIPE08U/xbfGL8ajxwPHP8dLxx/Gu8YvxY/E+8SHxCvD58Ofw0vC58J/wivB+8HzwgvCK8JDwkfCP8I7wlPCj8L3w3/EE8SnxS/Fr8YfxovG98djx9fIX8j3yZ/KR8rfy1fLn8u3y6vLi8tvy1/LX8tny3PLg8uTy6fLy8v7zDfMd8y7zQvNa83vzp/Pd9B30Y/Sq9O/1LvVp9aD12PYT9lP2l/bc9x/3XPeP97n32ff0+A74J/hE+GT4ifi0+Ob5H/lb+ZX5xfnk+e355fnU+cf5yvnh+g36Rfp++rD62Pr3+xP7MvtZ+4f7uvvt/CH8VvyM/MT8/f00/WX9kP26/eb+Hf5g/rD/Bf9a/6j/6gAiAFMAfgCmAMoA7AEKAScBSAFuAZwB0QIIAj0CbAKRAq8CyQLhAv4DIANIA3IDmwO+A9cD5QPqA+oD6QPrA/ID/gQNBBwEKQQyBDoEQgRMBFoEbASCBJ0EugTZBPoFHQVABWQFhwWmBcAF0AXTBcgFsQWSBXEFUwU+BTAFKQUmBSMFIQUgBSIFKAUxBTkFPwVDBUUFSQVTBWMFeQWRBakFvQXNBdsF5wXzBf8GCwYUBhoGHgYiBikGMwZABk4GXAZpBnQGfAaDBocGiAaFBnwGbgZfBlEGSgZLBlYGaAZ8BowGkwaRBoYGdwZqBmcGcQaJBqwG1gcBByUHQQdSB1kHVwdOB0AHLgcbBwsHAQcBBw0HIwc9B1QHXQdTBzUHBQbMBpMGYQY5BhcF8gXDBYYFOwTpBJoEVgQkBAMD7wPgA9IDwgOvA5sDhQNtA1ADLgMFAtkCrwKKAnECZgJnAnICgwKSApoClgKAAlcCGgHPAX0BLADpALgAnQCWAJwApgCsAKoAoACRAIMAeABzAHEAbQBlAFgASwBAAD8ARgBSAF4AZABjAFwAWABcAGsAgACTAJsAlACAAGgAVgBRAFgAZwB0AHwAgQCNAKoA2gEbAV0BkQGrAa4BpQGoAccCCgJqAtUDMwN1A5QDmgOVA5MDnQOyA8sD4QPxA/oEAQQLBBcEJQQxBDgEPQRBBEkEWARrBIAEkwSgBKoEtATCBNYE7wUKBSIFNQVEBVEFXQVqBXcFggWLBZMFnAWqBb0F1AXqBf0GCAYLBgoGBwYEBgQGBQYHBgcGBQYDBgAF/QX3BfAF6AXhBd4F4gXtBfwGDAYWBhcGDAX1BdQFqwV+BVAFKAUIBPQE6wToBOME1wTDBKkElASMBJoEvATtBSEFSwVlBW0FaAVbBUYFKAT7BLoEYQP3A4UDFwK7AncCTgI+AkMCVwJ0ApQCsQLFAtAC0gLLAsECtgKrAp0CiwJyAlMCMQIPAe4BzQGrAYYBYAE8ASMBGgEiATYBTAFYAVIBOgEYAPcA5QDoAQEBKQFVAXsBkQGVAYgBbQFIAR4A9QDSALwAtAC9ANIA7gEHARcBGQEMAPMA0wCwAI0AbQBPADMAGQAA/+f/zv+1/5z/gv9m/0b/Iv76/tD+pP55/lH+LP4N/fL92/3F/az9jP1g/SX83PyJ/DP74/ue+2j7Pvsb+vn60vqp+oD6XvpH+jv6NPor+hn5+PnM+Zn5ZPky+QP41vio+Hv4T/gp+Az39vfl99L3uPeT92j3OfcO9uv20Pa+9rH2pfaY9of2cfZS9in19fW79X/1SPUa9Pj03/TK9LT0m/R/9GT0TvQ+9DX0LvQk9BTz/fPh88LzpfOM83jzafNe81bzTvNF8zjzJfMN8vDy0fKy8pXyevJh8kryM/Id8gjx9vHj8c/xt/GY8XLxSPEb8O7ww/Ca8HLwS/Ak8ADv3e+8753vfu9d7zrvFu7y7s/ur+6R7nXuW+5B7ifuDu317d3txe2u7Zjthe107WbtW+1R7UjtQe067TbtMu0w7SztJu0b7Qzs/Ozu7OXs4+zo7PPtAO0N7RbtHe0j7SntMe087UrtWe1o7Xbtg+2O7Zjtoe2p7bDtt+2+7crt3O327hjuP+5n7ovuqO6/7tPu5+8A7x/vRO9s75fvwu/v8B/wVPCN8MfxAPE18WTxjvG38d/yCvI28mPyjfK08tny/PMg80fzcPOc88vz/fQx9GX0lvS/9Nz07PTx9PD08vUA9R/1U/WZ9ez2R/ai9vr3TPeY9+L4Kvh1+MX5G/l3+dj6O/qd+vv7VPun+/L8Nvxw/KH8x/zj/Pb9A/0Q/ST9Rv2A/dn+VP7r/5MAPADSAUcBlAG9Ac4B2AHpAgoCPAJ3ArUC7wMmA1sDlAPTBBkEYQSpBO0FLgVwBbQF/AZGBo0G0AcLB0QHfge9CAUIUgigCOsJLQlnCZwJ0QoJCkUKhgrJCw4LUguWC9sMIgxpDLAM9Q02DXQNsA3tDi0OcA63Dv4PQg+BD7YP4hAFECUQRRBpEJMQwxD3ESoRWxGJEbUR4BIMEjkSZxKTEr0S5hMNEzUTYBOOE74T7xQfFE4UfBSqFNoVDBU+FW8VoBXOFfsWKBZWFocWuRbuFyQXWBeLF7oX5BgIGCgYRBhbGHAYgRiPGJkYnxifGJsYlRiNGIYYgRh+GH0Yfhh+GHwYdxhvGGQYWBhMGEAYNhgsGCMYGhgQGAcX/hf1F+0X5RfdF9UX0BfNF84X0RfVF9gX2BfTF80XxxfFF8sX1hflF/IX+xf9F/cX7hfiF9gXzxfFF7YXoBeEF2QXRxczFywXMhdBF1MXYhdrF24XbRdnF1sXRBccFuIWmhZNFgoV3BXIFcsV1xXdFdQVvBWeFY0VlhXBFgYWUxaTFrcWuhajFoEWZRZWFlQWVhZRFj0WHBX2FdMVuhWtFaIVkBVtFTYU7hSfFFAUCxPRE6ITehNYEzwTJhMXEw4TBhL8EuwS1xK/EpUSfhJtEmASUhI+EiER/BHSEakRhRFmEU0RNhEhEQoQ9BDeEMoQuBCmEJUQghBwEF4QThBAEDMQJhAWEAEP6A/JD6YPgQ9eDz4PJA8RDwIO9A7iDskOqA6BDlgOMQ4SDfoN5w3UDbsNmw10DUgNHAz1DNIMswyTDG8MQwwOC9ELkQtQCxIK2QqnCnkKTwolCfgJxQmKCUsJCQjKCJMIZQhBCCgIFggLCAMH/Qf4B/IH6gfeB84HuwelB5AHfAduB2UHZAdpB3UHhQeXB6oHugfFB8oHxwe8B6kHkAdyB1IHMQcTBvcG3AbCBqcGiwZuBlQGPgYwBikGKAYpBigGJAYbBg8GBAX7BfcF+gYABgkGEAYSBgsF+wXhBcEFoAWFBXQFbwV2BYMFkAWWBZEFgAVlBUUFJAUFBOgEzwS6BKcEmQSOBIYEfwR1BGcEVAQ8BCIECAPxA9wDygO5A6cDlQOFA3sDeQOAA40DmwOjA6ADkQN3A1gDOAMcAwIC6wLTArgCmgJ6AlsCQAIoAhIB+QHcAbkBkwFrAUYBIwECAOIAwACaAHIASQAg//j/0P+p/4P/Xv89/yH/Cv74/uf+1f7C/q7+m/6K/nz+bf5c/kT+J/4K/fP96f3s/fr+Bv4G/e79uP1o/Qf8n/w9++j7oPtk+zH7AfrT+qf6fPpT+ir6AfnY+a/5iflm+Ub5KPkI+OL4tfiC+E34Gffs98b3qPeO93X3W/c+9x32+/bW9rH2jPZp9kr2L/YY9gX18/Xg9cn1rvWQ9W/1TvUu9Q/08fTV9Lr0o/SN9Hv0a/Rd9E70QPQy9CP0E/P/8+jzzPOt84vza/NO8zTzH/MM8vvy7PLh8tny1PLR8s3yxvK68qryl/KD8m/yXPJH8jPyHfII8fXx5fHb8dbx1/Hf8ezx/fIP8h3yJPIh8hXyAPHp8dLxv/Gy8ajxovGc8Zbxj/GG8XnxaPFT8T3xKfEc8RfxHPEo8TrxTvFk8Xnxi/GU8ZDxfPFW8SXw8fDE8KbwmPCV8JTwj/CC8HDwXfBR8EzwTfBQ8FDwS/BF8EPwTPBh8ITwr/Dd8QvxNfFb8X7xn/G88dfx8fIM8inySfJq8ojyoPKu8rTys/Kx8q/ysfK28rvyv/LB8sHywvLE8sry1PLk8vnzFvM8823zqvPw9D70jvTf9Sz1c/W19fD2J/Zc9pL2yvcE9z33cfec97v3zffY9+H37/gF+CX4T/iA+LX47vkp+WT5nPnM+fH6CfoY+iT6M/pL+mz6lPq++ub7Cvsr+077dfui+9P8Bfw1/GT8k/zF/Pn9LP1d/Yf9rP3R/fz+Nv6A/tj/Nv+Q/98AHwBTAIAAqgDWAQMBLwFYAX8BpgHPAfsCKgJZAoMCpQK9As0C2QLnAv0DHgNIA3oDrAPZA/sEEAQYBBkEFwQYBB4EKQQ4BEYEUgRZBF4EYwRqBHUEhwSgBL4E4AUGBSwFUgV2BZgFtgXPBeEF6gXnBdgFwAWhBYMFaAVSBUMFNwUuBScFJQUqBTUFRwVZBWgFbwVwBW4FbwV5BY0FqQXIBeUF/QYPBh0GKgY3BkQGTgZTBlQGUQZNBkwGTwZVBl0GZAZrBnAGdgZ7Bn8GgAZ8BnQGZwZaBlIGUgZcBm8GhgabBqgGqgagBpAGgAZ4Bn0GlAa6BuoHHAdKB2wHgQeIB4UHegdrB1oHSwdABzoHPQdHB1gHbQd+B4cHgQdpB0AHCgbPBpUGXwYvBgAFzQWSBVAFCwTMBJgEdQRgBFIEQwQuBBED7wPNA64DlAN7A10DNgMFAs4CmAJtAlMCTAJWAmoCgAKSApcCjAJvAkACAwG9AXUBMwD9ANYAwAC4ALkAvgDBAL4AtgCqAJ0AkgCKAIQAgAB6AHAAZQBbAFQAUwBXAF4AYwBlAGYAaQBxAH8AjwCeAKMAnwCSAIQAfQB+AIkAlQCcAJ0AnACiALgA4gEZAU4BcAF4AWkBVQFVAXwB0gJNAtUDTAOeA8IDwwOyA6MDowO0A88D6gP/BAwEFQQeBCsEPAROBFsEZARoBGwEdASBBJEEogSxBLwExgTSBOME+QUSBSsFQQVTBWEFbAV3BYAFiQWRBZkFpQW0BckF3wX1BgUGDAYLBgMF+gXyBe0F7QXuBe8F7gXsBegF4wXdBdgF1AXUBdcF3gXnBe0F7QXjBc8FswWQBW0FTQUzBSAFFgUTBRcFHgUkBSIFFwUEBPAE5QTqBQQFLwViBY4FqQWsBZcFcAU+BQMEwgR3BCEDwANbAvsCqgJyAlQCTwJeAnkCmQK5AtMC5QLuAu8C6QLfAtMCxgK3AqQCjAJuAk4CMAIXAgMB8AHZAbkBjQFZASUA+ADZAMgAvgC0AKUAjgB0AF0AVABgAIEAtADwASwBXQF6AX4BagFCAQ4A2gCxAJoAlwCmAL4A1QDjAOMA1gDAAKUAigByAF0ASwA5ACYAEP/3/9v/vP+c/37/Yf9I/zD/GP79/t3+uP6O/mD+M/4H/d/9u/2c/YD9ZP1D/Rr85fyk/F38FfvT+5z7cPtL+yf7AvrZ+rL6kvp9+nH6a/ph+kz6Kfn6+cP5jvlc+S/5A/jX+Kj4e/hT+DX4H/gO9/r33fe194X3Vfcs9xD3Afb99vz2+vbx9uD2xfaf9m72M/Xz9bT1fPVQ9TD1GvUH9PD01fS39Jz0iPR/9H30e/R09GL0RfQi8//z4PPK87zzs/Or86LzlvOF82/zVfM38xby9PLV8rjyn/KJ8nXyY/JR8kDyL/Id8gfx7PHL8abxffFT8SrxAfDZ8K/whPBa8DLwD+/v79LvtO+U73DvSe8j7wHu5e7N7rjuo+6K7m7uTu4r7gjt5+3I7a7tmO2H7Xrtb+1m7V3tVe1O7UrtR+1E7UDtOO0q7RjtBezz7Ojs5Ozp7PTtA+0R7RztJO0p7S3tMu067UXtUu1g7W3teO2C7Yrtku2Z7Z/tpe2s7bTtwu3X7fbuHu5L7nnuou7E7t3u8e8D7xjvNe9Z74Lvr+/d8AzwO/Bq8JrwyvD58SfxVPF/8avx1vIB8izyVfJ/8qjy0fL78ybzUvOB87Pz6PQe9FX0h/Sx9ND04/Ts9O/09PUC9R/1S/WG9dD2IvZ79tX3LveC99H4G/hi+Kz4+/lU+bX6HfqG+uz7Svud++X8IvxV/IH8pvzE/Nr86vz0/P79D/0x/W79zf5R/vH/nwBHANYBQQGFAagBuwHNAeoCFwJRApMC1wMYA1cDlwPYBBsEXwShBOAFHgVeBaIF6wY3BoEGxgcDBzoHbwenB+UIKQhwCLcI+wk8CXkJtQnzCjEKcQqxCvELNAt5C8IMDwxdDKoM9A04DXYNsA3nDh8OWg6WDtMPDw9HD3oPqA/SD/sQJxBXEI0QxBD6ES0RXBGHEbER3RILEjsSbBKbEscS8BMYE0ATaxOYE8YT9hQmFFYUhxS6FO8VJRVbFY8VwRXwFh4WTBZ7FqwW4BcUF0oXfRetF9YX+hgXGDAYRxhcGG8YfxiKGI4YixiEGHsYcxhwGG8YcRhyGHEYbBhmGF0YVRhNGEUYPRg1GCsYIRgYGA8YCBgBF/wX9hfwF+oX4hfbF9QXzhfKF8kXyxfNF9AX0hfSF9IX0hfWF94X6hf2GAAYBBgAF/UX5hfVF8UXtxeqF5sXiRdyF1kXQRcxFykXKxc0F0AXTBdYF2YXdxeKF5kXnBeGF1IXAhajFkcWAhXdFdgV5hX0FfIV3BW7FZ8VmxW6FfcWQxaHFrIWvRauFpMWehZtFmoWaRZfFkcWIRX4FdQVvRWvFaQVjxVnFSkU3BSMFEMUCRPeE78TphOME3ETVhM9EygTFRMBEuoSzxKxEoUSaRJUEkUSNxImEg0R6xHCEZgRbxFMES8RGBEEEPIQ4hDREMIQtBClEJYQhRByEF4QSRA2ECQQExADD/EP2w/CD6UPhQ9kD0cPLw8eDxMPCg8ADu4O1A6xDooOYw5CDiYOEA37DeINww2dDXINRw0eDPsM2wy6DJUMaAwwC/ALqgtjCyAK5AqyCokKZApBChoJ7Qm4CXwJPQkACMkImgh0CFgIRAg2CCwIJgghCBwIFAgIB/YH3wfEB6cHjQd4B20Hawd1B4cHoAe5B9EH4gfsB+4H5wfYB8IHpweIB2gHSgcwBxsHCQb4BuUGzQawBpIGdgZgBlAGRwZABjkGMQYnBh0GGAYXBhoGIQYoBisGKQYdBgkF7AXIBaEFfAVfBU8FTgVZBWoFeQV/BXkFZQVJBSkFCwTxBNwEzAS/BLQEqQSdBI8EfgRoBE0ELQQMA+4D1APAA7EDpAOVA4YDdgNqA2YDbAN7A48DogOsA6kDlwN6A1cDMwMRAvMC1wK9AqECgwJlAkgCLAIRAfUB1gGzAYoBYAE2ARAA7QDNAK4AjQBoAD8AFP/o/7z/kf9o/z7/F/7z/tP+uv6n/pj+jP5//nP+Zf5X/kj+N/4j/gv98f3X/cP9uP24/b79w/29/aL9cP0m/M38bvwT+8L7fftE+xP65fq3+or6W/ou+gD51Pmr+YT5YflC+SX5CPjo+MH4k/hf+Cn39/fN96v3kPd592H3Rvcm9wL23Pa29pD2bfZM9iz2EPX19dz1xPWq9Y/1cvVU9Tb1GvUA9Oj00fS79KT0jvR69Gj0WfRM9D70L/Qe9Arz9PPb87/zovOD82XzSfMw8xvzC/L98vLy6PLg8try1fLQ8snyv/Ky8qHyj/J88mnyV/JF8jLyHvIJ8fbx5fHY8dDxz/HU8eDx7/H+8gjyCfH/8ezx1PG68aTxkvGF8XrxcfFq8WXxY/Fi8WDxWvFO8T7xLvEh8RrxGvEf8SbxL/E58UPxTfFR8UnxMPEE8Mzwk/Bm8E3wSPBT8GHwafBn8FvwTfBD8D/wP/BB8D7wN/Aw8C/wOfBS8HfwpfDV8QPxLvFW8Xrxm/G48dDx5fH58g3yJPI98lXyaPJ28n7ygvKF8ovykvKc8qXyrPKy8rTytfK28rnywPLO8ujzEfNI847z3PQw9IT01fUk9W/1tvX59jX2Z/aR9rb22Pb99yX3Tvdz95D3o/eu97j3yPfi+Aj4Nfhn+Jf4xvj3+Sz5afmq+ev6J/pX+nv6lvqr+sH62vr3+xf7Oftc+4H7p/vP+/j8IfxK/Hb8pvzb/RT9TP1+/ab9xf3j/gj+PP6C/tj/Nf+O/9sAHABRAIIAtADrASMBWwGPAb0B5gIOAjUCXgKFAqkCxQLYAuQC7AL3AwkDJQNMA3wDrwPfBAcEIQQvBDQEMwQ0BDkEQwRRBGEEbwR7BIQEjgSaBKsEwwTgBQMFKQVRBXcFmAW0BckF2QXiBeYF5AXcBc4FvAWpBZYFhgV3BWkFWQVIBToFMgU3BUcFYAV7BY8FmAWXBZIFkgWeBbcF2QX/BiAGOAZIBlQGXgZqBngGgwaKBowGigaFBoIGgAZ/Bn8GfgZ+Bn8GggaFBocGhQZ/BnMGZQZZBlIGVgZiBnYGjAafBqoGrAanBp4GmAaaBqoGyQbzByQHVgeCB6MHuAfAB74HtAemB5cHigeCB38HgweLB5YHnwekB6AHkgd3B1AHIAbpBq8GdAY2BfMFrAVgBRUE0wSgBIEEdQRzBHEEZgRLBCQD+APPA7EDnAOLA3IDTQMYAtgCmQJmAkcCPwJLAmQCfwKUApoCjAJqAjcB9wG0AXMBPQEUAPgA5wDdANYA0ADKAMIAuQCvAKQAmQCQAIoAhAB/AHkAcABlAFoAUQBNAE4AVABeAGkAdgCDAJEAngCmAKgApACdAJgAmQCiALEAwQDMANEA0wDZAOsBCgEvAU8BXAFSATcBHAEaAUMBnwIjArcDPQOfA9ID3QPSA8QDwgPQA+kEAwQYBCQEKwQzBEAEUwRnBHkEhASJBIsEjgSWBKQEtATEBNIE3QTnBPQFBQUaBTIFSAVdBW4FfAWHBZEFmgWiBaoFtAXABdAF4gX0BgIGCAYHBgAF9QXqBeAF2QXSBcwFxAW7BbMFrwWwBbkFxwXZBeoF9gX4BesF0AWoBXoFTAUnBQ8FBgUKBRYFKAU6BUsFVwVdBVwFVgVNBUgFTAVeBX0FpAXHBd0F2gW9BYYFOwTlBIkELAPPA3UDHwLUApkCcwJjAmgCfAKaArkC1wLwAwIDDQMQAwwDAwL3AukC2gLHAq8CkgJvAkwCKwISAf8B8QHhAcoBpwF5AUMBDADZAK0AiQBrAFAAOAAjABMACwAQACQASQB8ALgA9QEnAUMBQwEpAPwAyQCeAIUAgQCNAJ4AqgCqAJ4AiQByAF4AUABFADsAMAAhAA7/+f/g/8X/pv+E/2D/Pf8d/wL+6/7X/sH+qP6K/mT+Of4J/df9p/17/Vf9Ov0i/Qn86vzA/Ir8TPwN+9P7oft4+1P7LvsI+uL6wfqn+pb6ivp8+mf6Rvob+ev5ufmL+WD5NPkF+NP4o/h4+Ff4QPgu+Bj3+ffQ96D3cfdN9zf3MPcy9zX3M/co9xH28PbF9pD2VPYU9df1ovV79WD1TfU69SL1A/Th9ML0rvSm9Kb0pvSg9I30b/RN9Cz0E/QE8/zz9fPt89/zzPO085jzevNa8znzGPL58t7yx/K08qTylfKH8njyZ/JU8j3yIfIA8dzxtvGP8WjxQPEV8Ofwt/CH8FvwNvAX7/vv4O/B75/vee9W7zbvHO8H7vLu2u687pjub+5D7hjt8O3O7bPtn+2Q7Ybtf+147XDtaO1f7VjtU+1Q7UvtQ+047SjtFe0E7Pjs8uz07PvtBu0R7RrtIe0n7SvtMe047UHtTO1Y7WPta+1x7Xbte+1/7YXti+2S7Zvtqe3A7eHuDu5C7nnuq+7R7uru+O7/7wjvGO8y71fvg++y7+DwDPA28F/wi/C48OfxF/FG8XPxnvHI8fPyHvJL8nryqfLZ8wjzN/Nn85jzzPQD9Dn0bPSX9Lj0zvTc9OX08PUB9R31RfV59br2BvZb9rb3Evdt98L4D/hX+J345vk3+ZL59fpe+sX7J/t9+8f8A/wy/Fj8d/yR/Kj8u/zL/Nr87P0I/Tb9gP3s/nn/Hv/LAGwA8QFRAY0BrgHDAdsB/gIwAm8CtQL/A0kDkQPYBB0EXwSeBNkFEwVPBZAF1wYiBmwGswbzBy0HYweYB88ICghICIgIygkOCVQJmgnhCiYKaAqpCugLKgtwC7oMCAxXDKMM6Q0oDWANkw3EDfcOLQ5nDqMO4Q8dD1cPjQ/BD/UQKhBjEJ0Q1xEOEUARbRGXEcAR6xIYEkYSdBKgEsoS9BMeE0oTeBOnE9UUBBQzFGMUlhTNFQUVPhV1FakV2xYMFjwWbhaiFtYXDBdAF3MXoxfNF/AYDRgkGDYYRxhWGGUYcBh2GHUYbhhkGFsYVhhVGFgYWxhbGFUYTBhBGDcYMBgsGCoYJxghGBkYDxgFF/wX9hfxF+4X6xfnF+MX3xfbF9YX0hfOF8sXyhfMF84X0xfXF9wX4RflF+sX8Rf3F/sX+hfzF+QXzxe3F50XhhdzF2UXWhdQF0UXORcuFyYXIRchFycXMhdCF1oXeBeZF7MXvRerF3cXJRbBFmEWFxXxFewV/BYNFg0V9hXOFagVmBWoFdoWIBZmFpoWsxazFqUWlRaIFoAWdRZhFkEWGBXvFc4VuRWuFaMVjhVmFSwU5xSiFGcUOhQbFAQT7BPQE60TiBNjE0MTJRMJEusSyhKnEn0SXxJGEjMSIxITEf4R4hHAEZoRcxFPETARFRD+EOsQ2hDLEL4QsBCiEJMQgRBsEFYQPxApEBUQBA/1D+cP1w/ED6wPkA9yD1QPOg8lDxcPDg8FDvkO5w7PDrMOlQ55DmEOSg4yDhUN8Q3EDZMNYA0wDQcM4wzCDJ8MdgxCDAULwgt9CzsLAgrSCqoKhgpiCjsKDQnZCaIJaQkzCQII1wiyCJQIfAhqCF4IVghTCE8ISghBCDEIHAgBB+QHyQeyB6UHowesB8AH2Qf0CAoIFwgaCBIIAQfpB8sHqweKB2sHUAc8By8HJwcgBxUHAQblBsMGoAaBBmkGVwZKBkAGOQY0BjUGOwZGBlIGWgZbBlEGPgYiBgAF2gWzBYwFaAVLBToFNQU6BUYFUQVUBU0FPQUnBQ8E/ATtBOQE3ATUBMkEuQSlBIsEawRHBCAD+APVA7gDowOWA4wDgwN3A2oDXQNVA1cDYQNyA4QDkAORA4QDbANMAykDCQLtAtQCvgKnAo0CcQJSAjMCFQH2AdcBtgGQAWgBPQETAOoAxAChAH4AWgAzAAj/2v+r/3z/Tv8i/vf+zv6p/on+b/5c/k/+SP5D/j7+N/4u/iH+EP37/eP9yv20/aL9l/2T/ZL9jv1//WD9Lvzq/Jn8Q/vx+6f7afs0+wT61/qo+nb6Q/oQ+d75sfmI+WP5Qvkk+Qf46PjF+J34cPg/+A334Pe595n3f/dn9073MfcO9un2wvad9nr2WPY39hb19PXR9a/1jvVt9U71MPUT9Pj04vTP9L70rvSd9Iv0ePRm9Fb0SPQ79Cz0G/QF8+rzzfOt84zza/NM8y/zFvMD8vXy7PLm8uHy3fLX8tDyx/K98rHyo/KS8oDybvJd8k7yQfI18ijyG/IM8f3x7fHg8dfx0/HU8dzx5vHu8fDx6fHY8b/xpPGK8XXxZfFY8UvxQPE28TDxLvEx8TTxNPEv8SXxG/ES8Q7xDvEO8Q7xDvEO8RLxGPEd8RfxAvDZ8KLwafA78CHwHvAs8D7wS/BP8ErwQfA88D3wQPBE8EPwQPA98EDwTvBo8IzwtfDf8QfxLPFR8XPxk/Gv8cbx2PHo8ffyCPIb8i3yPfJK8lTyXfJl8m7yefKD8o/ynPKp8rXyv/LF8sjyzPLY8vTzJPNr88H0IPR99NP1HvVj9aX15/Yn9mL2kva09sr22fbq9wL3IPdC92P3f/eX96/3zff1+Cb4W/iO+Lv44/kL+Tv5ePnB+hD6WvqX+sD62vrp+vf7C/so+0z7c/uZ+7r71/vv/Ab8IPxA/Gv8ofzi/Sf9a/2l/dH98P4J/iX+Tf6G/s7/Hv9v/7n//AA6AHYAtgD4AToBdwGuAdwCBAIqAlECewKlAs0C8AMMAyEDMAM9A00DYwOCA6gD1AQABCcEQgRRBFUEUwRQBFIEWQRnBHkEjASeBK8EwQTWBO4FCwUuBVMFeQWdBbwF0wXgBeUF4wXdBdQFyQW/BbQFqgWiBZwFlwWSBYgFeQVmBVQFTAVRBWUFhAWjBbkFwgW+BbcFtgXDBeEGCQY0BlgGcAZ+BoUGigaSBpwGqAaxBrgGuwa8BrwGuga3BrMGrgapBqcGpgamBqMGmwaOBn0GbAZfBlgGWgZjBnEGgAaPBpwGpwawBrkGxAbTBukHBgcpB1IHfAekB8YH4AfxB/gH+AfxB+cH3gfWB9AHzgfMB8kHxQe9B7EHoQeKB2wHRQcVBtwGmQZPBfsFoQVEBOsEnwRoBEwERgRPBFkEVwRFBCQD+wPWA7oDpwOXA4EDXgMrAu8CtAKCAmICVgJaAmgCegKHAooCfgJgAjEB9QG2AXkBSAEjAQwA/ADwAOUA2QDNAMQAuwCzAKgAnACOAIIAeAByAG4AagBkAFwAVABPAE8AVgBjAHIAggCQAJwApQCrAK4ArwCvALAAswC7AMYA0gDdAOUA7QD3AQYBGwExAT8BPgEtAREA+AD3ARwBbgHnAnQC/gNxA8ED7gQCBAkEEAQcBCsEOgRFBEoETQRTBF0EbgSABJAEmgSdBJ0EnwSmBLQExgTaBOsE+AUCBQwFGAUpBTwFUQVlBXcFhwWVBaIFrQW3BcAFxgXNBdUF3gXpBfMF+gX7BfUF6gXdBc4FwQW0BagFngWVBZIFlwWlBb4F3AX6Bg8GFAYDBdwFogVfBR0E6QTJBMIE0ATsBQ4FLwVLBV8FbgV6BYUFkQWeBa0FvgXQBd8F5wXjBcwFoQVgBRAEtARUA/QDmgNJAwQCzQKnApUCkwKgArUCzQLkAvgDBwMSAxkDGwMZAxIDBgL3AuYC1QLBAqsCkAJwAk4CKwIKAe4B1gHAAakBjQFsAUUBGQDsAL8AlQBxAFQAOwAmABP////u/+X/6wAFADYAdgC5AO4BCgEGAOgAuwCRAHUAbABxAHsAgQB9AHEAYwBaAFgAWQBZAE8AOQAZ//L/zP+r/4//dP9Y/zj/Ff7w/s7+sf6b/on+ef5m/k3+LP4C/dD9mv1n/Tv9Gv0E/PX85PzK/KP8b/wz+/b7v/uR+2r7Rvsj+v762/q8+qP6kPp/+mz6Uvoy+gz54vm3+Yn5Wfkk+O34ufiM+Gv4VPhC+Cz4Dvfl97b3i/dq91f3UvdT91P3S/c59xz29vbI9pX2XfYk9e/1wvWh9Yv1ePVj9Uf1IfT59NT0u/Su9Kv0qPSg9I/0dvRc9Ef0OvQ29DT0MPQk9BDz9/PZ87vznPN881zzPfMg8wfy8/Lj8tbyyfK78qvymfKF8m7yU/I08hHx6/HF8Z3xc/FF8RXw4/Cy8IbwYvBD8CjwDe/v783vq++K723vVe897yPvA+7c7q/uf+5Q7iXuAO3g7cftte2n7Z/tmO2S7YrtgO117WrtYe1a7VXtTu1F7TjtKe0a7Q3tBO0A7QHtBO0K7RDtF+0e7SbtLe027T7tRu1O7VXtWu1d7WDtZO1o7W3tdO197Yntm+227dvuDO5F7oDutO7b7vDu9u7z7u/u8u8C7yDvSO9276Xv0e/68CTwT/B98K/w4vEU8UPxb/GY8cLx7/Ie8lDyhPK38ujzF/NF83TzpfPZ9A30QPRu9JT0svTI9Nv07PUC9R31QvVw9av18fZC9pv2+vdZ97X4Cvha+KT47fk4+Yn53/o7+pn69/tO+5z72/wL/Cz8QvxR/GD8cvyI/KL8v/zh/Q79Tf2m/h7+sv9ZAAMAnAEYAXEBqAHJAeIB/QIlAloCmwLjAy8DewPFBAsETQSLBMYFAAU7BXoFvQYEBkwGkwbXBxYHUgeLB8IH+QgxCGwIrAjwCToJhgnTCh0KYwqmCucLKwtyC7wMBwxQDJQM0Q0HDTgNaQ2bDdIODQ5ODpEO1Q8XD1UPjw/GD/wQNBBuEKkQ4hEZEUsReRGjEc0R9xIiEkwSdRKcEsMS7RMaE0sTfhOwE+EUDxQ+FHAUphTgFRoVUxWIFboV6hYbFlAWhxbAFvgXLhdgF44XtxfbF/kYEhgkGDIYPRhHGE8YVBhWGFQYThhHGEEYPRg9GDwYOhg0GCoYHxgVGA4YDBgNGA0YCxgGF/8X9hfvF+oX5xflF+MX4RfeF9wX2xfaF9kX1hfTF9EXzxfRF9cX4BfqF/QX+xf+F/8X/hf8F/gX8RfkF9EXtheWF3YXWhdJF0MXRxdPF1UXVRdMFz4XMBcoFysXOBdQF20XixehF6kXnBd2FzUW4BaEFjEV9hXcFd8V8hYFFggV9RXTFbAVnxWsFdYWFRZXFo0Wrha6FrcWqxacFosWcxZTFiwWAhXcFcEVsBWlFZoVhhVkFTYVAxTRFKYUhBRmFEgUJRP6E8oTmRNsE0QTIhMDEuQSwhKfEnYSWhJCEi0SHBILEfkR5BHJEasRiRFmEUQRJREJEPEQ3RDMELwQrRCdEIsQdxBgEEgQMBAaEAcP+A/tD+QP2g/MD7oPog+FD2cPSQ8vDxkPCQ78Du8O4g7SDsEOrw6eDo4OfA5nDkkOIQ3uDbQNeA0/DQ8M6AzIDKoMiAxcDCYL6QunC2gLMAsACtYKrwqHClwKLAn6CccJlglpCT8JGgj4CNsIwgiwCKUInwicCJkIkwiJCHoIZwhQCDgIIAgLB/wH9Qf4CAQIFwgqCDgIPQg3CCYIDQfuB8wHqgeKB24HWAdLB0UHRAdDBzsHKQcLBuQGuwaVBncGYAZQBkcGQgZEBk0GXQZwBoEGiAaBBmsGSQYgBfQFygWjBX8FXwVEBTEFKQUrBTQFPgVGBUYFPwUzBSYFGgUQBQYE+wTsBNYEugSaBHQESwQhA/cD0AOwA5gDiQN/A3YDbQNhA1QDSQNDA0YDTgNYA14DWgNKAzADEQLyAtkCxgK6ArACpgKXAoICZgJGAiQCAQHfAb0BmwF3AVEBKAD+ANMAqQCAAFgAMAAF/9f/pv9y/z7/DP7c/rH+if5l/kf+Lv4b/hD+C/4L/g3+D/4N/gb9+f3m/c/9uP2i/ZH9hv1//Xr9cv1g/UD9D/zO/IL8Mfvi+5r7Xvsp+vv6zPqb+mX6LPnz+b75j/lo+Ub5KPkL+Oz4yvil+H34Ufgl9/j3z/eq94r3bvdT9zf3GPb29tL2r/aM9mz2TPYq9gX13vW09Yv1ZPU/9R71APTl9M30ufSo9Jv0jvSB9HP0Y/RT9EP0NPQl9BLz/PPg88DznPN481PzMfMR8vby4PLR8sjyxPLD8sLyv/K58rHyp/Kd8pHyhPJ18mTyVPJG8jryMfIp8iHyF/IK8frx6/Hd8dTx0fHU8drx4vHl8eHx0fG48Zfxd/Fa8UXxN/Et8SXxHvEY8RXxFPEW8RfxE/EL8QDw9fDu8Ozw7PDr8Obw3/Da8Nzw5vDz8Pvw8/DY8Kzwd/BI8CjwHfAg8CzwNvA68DrwOfA68D3wQfBE8ETwQ/BE8E7wYfB98J/wwvDk8QbxJvFH8WjxhvGh8bfxyfHZ8ejx+PII8hfyJfIz8kHyT/Jc8mbybvJ18n/yjvKk8rzy0fLf8uTy5PLr8wXzOfOK8/D0XfTE9Rv1YfWb9dH2CPZA9nX2n/a79sn2z/bV9uL2+fcZ9zz3X/eC96r32PgQ+E/4j/jK+Pz5J/lR+YL5vvoF+k76kPrB+t767fr4+wn7J/tU+4n7vvvq/Aj8Gfwg/CX8MPxJ/HL8rvz3/Uf9lf3Z/g7+M/5O/mf+hf6u/uP/If9j/6j/7AAxAHcAvwEGAUgBgwG0Ad4CBAIrAlcChgK5AusDGQNAA18DdgOHA5YDpwO/A94EBQQvBFUEcQSABIMEfQR2BHMEeASFBJkErgTEBNoE8QUKBSgFSQVtBZIFtQXRBeQF7QXrBeIF1AXGBbkFrwWnBZ8FmQWVBZMFkwWSBY4FgwV1BWgFZAVvBYgFqwXNBeUF7AXmBdwF2AXkBgEGKwZYBn4GmQaoBq4Gsga1BrsGwgbJBtAG1wbfBuUG6QbqBugG5QbiBt8G3QbXBs0GvQaoBpMGgQZ1Bm4GbQZuBnEGdwaBBpEGqQbEBuEG/QcVBysHQgdbB3gHmQe8B90H+ggRCCAIKAgqCCgIJQghCBwIFQgKB/wH6gfWB8EHqweSB3QHTgcfBuYGpQZcBgoFrgVKBOQEhgQ8BA4D/gQGBBgEJwQoBBkD/gPgA8UDrwOaA4EDXwM0AwQC2AK1ApwCjAKCAnsCdQJuAmYCVwI/AhoB6AGtAXMBQAEaAQIA8wDqAOEA1wDPAMgAwQC6AK4AnACGAHEAXwBWAFQAVgBaAFwAXABdAGAAaAB0AIIAjgCYAKAApwCvALkAwwDMANIA1QDWANYA1gDYAN0A5QDwAP4BDQEaAR8BGwENAPkA6QDoAQEBPQGZAhACkgMSA4ID2QQYBD8EVgRiBGgEawRtBHAEdQR+BIoEmASkBK0ErwStBKoEqwSyBMEE1gTtBQIFEgUeBSgFMwVABU8FXwVvBX0FigWXBaQFsQW9BccFzgXSBdQF2AXdBeIF5QXjBdsFzQW9BawFoAWZBZcFmwWjBbAFwwXcBfcGEQYjBiQGDwXhBZ4FTQT6BLMEggRtBHQEkAS6BOgFEQU0BVIFbAWHBaUFwwXfBfQF/AX2Bd0FswV5BTME5ASUBEQD+AOzA3UDPwMTAvIC3gLXAt4C7QMAAxIDIAMpAywDLAMqAycDIQMYAwoC+ALjAs0CuAKkApECfQJlAkgCJwIEAd8BuwGZAXoBXQFBASUBBgDkAMAAnQB9AGMATQA5ACIABP/g/77/qP+r/8wACQBUAJwAzgDfANAArACDAGQAVQBTAFgAWgBYAFQAVQBfAHMAiACSAIYAYQAm/+D/nP9l/z7/I/8P/vj+3P67/pj+eP5f/kz+Pv4w/iD+B/3l/br9iP1V/Sf9A/zq/Nr8zfy7/J38cfw6+/77xPuS+2f7RPsi+wD63vq9+qD6iPp1+mT6Ufo7+h75/PnS+aL5bPky+Pj4w/iZ+Hv4ZvhV+ED4Ivf79873pPeF93L3avdn92H3Uvc49xX27Pa/9pD2YPYy9gj15fXK9bT1n/WE9WD1M/UE9Nr0u/So9J70l/SN9H70bfRg9Fn0W/Rh9Gb0YvRT9Dz0HvP+89/zwPOh84LzZPNK8zXzJvMb8w/zAfLv8trywvKq8pDydPJV8jHyC/Hi8bnxj/Fk8TjxDfDk8L7wnfB/8GHwQfAf7/vv2O+576DviO9w71HvK+7+7s3unu5z7k/uL+4U7f3t6e3Z7cztw+267bDtpe2X7Yntfe1y7WjtX+1U7UftOe0q7R3tE+0M7QjtB+0I7QvtEe0a7SPtLO007TrtP+1C7UTtSO1M7VLtWO1f7Wbtbe127YPtlu2y7dnuCu5C7nzur+7V7uru7u7o7t/u3e7o7wHvJ+9U74Lvru/X7//wKPBV8IfwvPDx8STxU/F/8anx0/IA8jHyY/KW8sfy9vMk81Hzf/Ov8+H0FPRE9HH0mfS79Nf08PUJ9SP1Q/Vr9Z713fYo9n322fc695v3+vhW+K34//lM+ZX53foo+nf6yvse+277svvk/AT8E/wZ/B78KPw9/Fr8fvyn/NT9DP1W/bv+Pv7a/4QALADCAToBkQHLAfECEQIzAl0CkgLPAxIDWAOeA+MEJgRmBKQE4QUeBVwFnQXgBiUGagavBvIHMwdyB64H6QgiCF4IngjkCS8JfQnLChYKXQqhCuQLKgtyC7sMAQxDDH0MsgzjDRUNSw2GDccODA5UDpwO4Q8iD14Plg/LEAAQNxBxEKsQ5REaEUsRdxGhEcoR9RIgEkoSchKZEsAS6xMbE04ThBO4E+kUGRRJFH4UtxTzFTAVaBWbFcoV+BYoFl4WmRbUFw0XPxdrF5EXsxfRF+wYAxgUGCEYKBgtGDAYMhgyGDIYMBguGCwYKRgmGB8YFhgLGAAX9xfzF/MX9Rf3F/cX8hfrF+QX4BfeF+AX4RfhF+AX3BfZF9gX2BfZF9oX2RfYF9cX2RfgF+wX/BgMGBoYIhgjGB8YFxgOGAIX9RfkF8wXrxeOF3AXWhdTF1sXcBeHF5cXmBeJF28XVRdGF0kXXBd5F5QXohebF30XSBcCFrIWYBYUFdcVsBWiFagVuxXNFdcV0xXGFboVuhXNFfMWJxZcFokWqBa3FroWsxakFo0WbhZHFhwV9BXRFbgVpxWZFYkVdBVZFTsVGxT8FN8UvxSbFG4UOhQAE8YTjhNeEzUTERLyEtMStBKVEmcSTxI5EiUSExIEEfQR5BHQEbcRmhF5EVYRNBEUEPkQ4hDOEL0QrBCaEIgQdBBfEEkQMxAgEA8QAQ/3D+8P5w/dD84Puw+iD4YPaQ9MDzAPFw8BDuwO2Q7IDrkOrQ6jDpoOkQ6DDmsORw4VDdgNlw1YDSMM+gzcDMQMqgyGDFgMHgveC58LZAswCwIK1wqqCnwKSwoaCewJwQmaCXYJVQk3CR8JDAkCCP0I/Aj6CPUI6wjbCMgIswifCIwIeghoCFgISghCCEAIQwhJCEwISQg9CCkIDwfxB9IHtQeaB4MHcQdnB2QHZAdjB1oHRQckBvkGzQakBoQGbQZfBlgGVwZcBmgGegaOBp4GowaYBnwGVAYlBfYFywWlBYQFZwVQBUEFPAVCBVAFYgVyBXsFfAV1BWkFWQVHBTIFGAT6BNYEsASHBF4ENQQOA+kDxwOrA5YDhgN7A3ADZANWA0gDPAM0AzEDLwMqAx4DCQLsAswCrwKZAo0CigKNAo8CjgKFAnMCWQI5AhUB8AHMAagBhQFhATwBEwDpALwAkABkADoAD//i/7L/fP9D/wn+0f6d/nH+Sv4q/g/9+P3n/dv91/3X/dz94v3n/ef94P3T/b/9qf2T/YD9dP1s/Wj9Yf1S/TX9CPzJ/H78LPvb+5D7UPsZ+un6uPqE+kv6DfnQ+Zj5aflE+Sf5Dfjy+NT4sPiJ+F/4NPgK9+H3u/eX93f3Wfc89yD3A/bk9sT2pfaF9mb2R/Yk9f711fWp9X71VPUu9Qv06vTM9LH0mvSH9Hn0b/Rl9Fv0T/RA9DD0HvQJ8/Hz1PO085Dza/NI8ybzBvLq8tLywPKz8q3yq/Kq8qjyo/Ka8pHyh/KA8nnycvJp8l3yT/JD8jnyMvIs8iTyGPII8fXx4vHU8c3xz/HZ8ebx8fH18e3x1/G18YvxYPE68R/xD/EJ8QnxDfER8RbxGfEY8RLxBvD18OPw1PDM8MnwyPDD8LjwqvCe8J7wq/DD8Nzw6vDl8Mvwo/B38FLwO/Aw8C3wLvAv8DHwM/A28DjwOfA38DTwMvA48EXwW/B38JbwtfDU8PTxFfE38VfxdPGL8Z/xsfHE8dbx6PH58gnyGvIt8kLyWPJq8nXyefJ58n7yjfKn8sny5/L68v7y+/L98xXzT/Oq9B30l/UG9V/1oPXP9fT2GPY79l32ePaJ9pH2lvad9qz2xPbj9wX3KfdQ9373tvf3+ED4ifjN+Qr5QPl1+a757fox+nL6p/rK+t/67Pr8+xv7TfuP+9f8GfxL/Gf8b/xr/Gb8afx7/KD81/0e/Wz9vP4G/kX+d/6d/r3+2v76/yH/T/+D/77//QBBAIcAzQEPAUsBfwGrAdMB+wInAlcCjALEAvoDKwNVA3YDjQOeA6oDuAPMA+sEFARCBG4EkQSlBKsEpwSgBJ0EogSwBMME2ATtBQIFGAUxBVAFcwWYBbwF2QXtBfQF8AXjBdEFvwWxBagFowWgBZsFlAWNBYcFhAWDBYEFfAV1BXAFcQWABZwFwgXnBgEGDAYJBgAF+wYDBhsGPgZmBooGpga6BsYGzQbSBtUG2AbaBt4G5gbwBvwHBwcPBxUHGQcbBxsHFwcOBv0G5gbNBrYGpgacBpYGkQaJBoEGfAaCBpUGtgbgBwsHMQdPB2UHdweKB6EHvQfaB/gIEQgmCDYIQwhNCFYIXQhgCF8IVghFCCwIDgfsB8kHpAd7B04HGwblBq4GeQZEBgkFwAVlBPoEigQlA9wDtwO0A8kD4wP2A/gD7APZA8QDsQOdA4UDZQM/AxkC+QLgAs8CvwKsApQCeAJeAkYCMAIXAfUBxwGQAVYBJAEBAOwA5ADgANwA1QDMAMEAtgCrAJsAhwBwAFgARQA8ADwAQwBNAFcAXgBjAGkAcgB9AIkAkwCaAKAApgCwAL0AzgDeAOsA8ADuAOgA3wDZANgA3ADlAO8A+gECAQUBAwD8APIA6QDmAPEBEAFIAZsCBQJ+AvgDZwPAA/8EJAQ3BEAESQRWBGsEhgShBLgEyQTRBNAEygTBBLkEtgS7BMgE3ATzBQoFHgUuBTwFSQVWBWMFbwV6BYIFiQWRBZoFpAWwBbsFwgXGBckFygXMBcwFygXEBbcFpwWXBY4FjQWYBa0FyQXoBgUGIAY0BkAGQAYxBg8F2QWQBTsE4gSQBFAEKQQeBC8EVASHBL8E9QUmBVAFdgWXBbMFyAXRBcoFrgV9BTcE4wSJBDAD4AOfA24DTgM5Ay0DJgMiAyADIwMpAzQDQANMA1UDWANYA1QDTwNIA0ADNAMkAw8C9QLZAr0CowKMAngCZAJPAjcCGgH3AdIBqgGDAV4BPgEgAQQA5gDHAKUAhABmAE0AOwAqABX/9//P/6P/f/9v/37/rv/1AEIAgQClAKgAkgBvAE8AOgAwACwAKgAnACYALQBDAGUAigCjAKEAfAA3/97/g/80/vn+0/66/qb+j/51/lf+PP4l/hT+B/36/ev91f24/ZT9av0+/RP87/zS/L38rfyb/IL8Xvwu+/f7vfuH+1j7MPsP+u/60fqz+pb6ffpn+lX6Rfoz+hv5/fnW+ab5b/k1+P74zvio+I74fPhs+Ff4OfgS9+f3v/eg94z3gfd59233Wfc79xX26va/9pb2cPZN9i32EfX49d71wfWd9XD1PfUL9N/0vfSn9Jn0jvSC9Hb0bPRn9Gv0dvSC9In0hvR49GH0RPQl9Afz6PPI86nzjfN282fzXfNW80vzO/Mj8wby5vLG8qbyhvJk8j7yFvHu8cbxofF+8V3xPPEc8P7w3/DA8J3wd/BO8CbwAu/l787vuu+j74XvX+8z7wXu2+637pnufu5l7kzuNO4d7gvt/e3x7ebt2u3L7bvtqu2a7Yntd+1l7VPtQe0y7SftIO0c7RrtGO0X7RjtGu0g7SftLu0z7TXtNe007TbtO+1E7VDtXO1n7W/tde167YPtku2r7c/t/u407mvune7F7t/u6u7q7uju6u727w/vNO9f74zvtO/Y7/nwGvBA8G7wovDb8RXxSvF58aTxzPH08h7yTPJ88q3y3vMO8z3za/OY88bz9vQn9Ff0hvSy9Nn0+fUU9S31R/Vn9ZH1x/YK9lb2rPcI92v30fg5+J74/PlQ+Zn52voZ+lr6o/rx+z/7hfu7+9377fvw+/D79fwD/Bv8O/xd/IT8svzu/UL9s/5B/ub/lQA/ANcBUwGyAfcCKQJRAnUCmwLFAvYDLQNpA6oD7gQyBHYEuQT6BToFegW7BfwGPwaCBsUHCAdLB4sHywgKCEsIkAjaCSYJdAnBCgoKUAqUCtkLIAtoC68L8QwsDGIMkwzHDP8NPg2FDc8OGg5jDqkO6Q8mD14Pkw/ID/4QNxByEK0Q5hEYEUURbRGUEbwR6RIXEkcSdRKiEs0S+xMrE14TkhPFE/YUJxRZFJAUzBUKFUcVfhWvFdwWCRY6FnEWrBbmFxwXShdvF48XqxfFF90X8hgCGAwYERgTGBMYEhgSGBMYFRgWGBYYExgMGAIX9hfrF+MX4RflF+sX8RfzF+8X5xffF9kX2BfbF98X4RfgF9wX1xfVF9YX2RfdF+AX4hfkF+kX8xgDGBcYLBg9GEgYShhEGDgYKRgZGAkX+RfnF9EXuRehF40XhReMF6IXwBfcF+sX5RfMF6cXhRdyF3QXiBehF64Xoxd5FzYW4xaMFjwV+RXDFZsVgBVxFW4VdhWEFZUVphW4FcsV4hX/FiIWRhZnFoQWmhapFrEWshaoFpMWdBZMFiEV+BXXFb0VpxWTFX0VZhVPFTkVJRURFPgU1BSlFGwULBPtE7ITfhNREykTBRLiEsASoBKCElASOBIiEg0R+xHsEd8R0hHDEbARlxF5EVgRNxEYEPwQ4xDNELoQpxCWEIYQdxBoEFgQSBA4ECcQGBALEAAP9g/sD+AP0Q+/D6kPkA91D1cPNw8XDvcO2g7ADqoOmg6PDokOhQ5/DnEOWA4vDfgNuA13DT4NEgzzDN0MyAysDIMMTgwQC9ELlAtcCyoK+QrJCpcKZgo3CgsJ4wm+CZ0JfwlmCVUJSwlKCU8JVAlVCU4JPQknCQ0I9gjiCNIIxAi0CKIIjQh6CGkIXQhVCE8IRgg6CCoIFQf/B+gH0Qe6B6UHkweHB4AHfQd5B24HWAc1BwsG3ga2BpgGhgZ8BnkGewaABooGmAamBrIGtAaoBo8GaQY9BhEF5wXDBaUFjQV9BXcFewWIBZwFsQXBBccFwgW0BZ0FggViBUAFGgTzBMoEoQR5BFQEMgQQA/ED0wO3A6ADjQN9A3ADYwNWA0gDOwMtAx8DDgL4At4CwAKhAocCdAJrAmsCcAJ2AngCcwJnAlQCOwIdAfwB2QG1AZEBbgFJASIA+QDNAKAAdABJAB//9v/J/5j/YP8j/uP+pv5v/kD+Gv38/eT90f3B/bb9rv2r/a39sv25/b39vP21/ab9kf16/WX9Vv1O/Uv9Sf0//Sn9APzF/Hr8JvvR+4L7PfsC+s76m/pl+in56fmq+XH5Q/kh+Qj48/jb+L34mPht+EH4Fffs98f3pPeE92X3SPcs9xL29/bc9r/2ofaC9mP2Q/Yh9f311fWs9YH1V/Uu9QX03vS49Jb0ePRi9FP0S/RF9D/0NvQp9Bf0AfPn88nzp/OE82LzQfMk8wny8fLb8sjyuPKs8qbypPKh8pzyk/KH8nrycPJq8mfyZPJd8lPyR/I88jTyL/Is8ibyGvII8fHx3fHP8czx1PHl8fnyCvIS8gzx9vHR8aHxbfE+8RnxAvD58PvxA/EP8RnxHvEd8RPxAvDu8Nzw0fDN8M7wzfDE8LHwlvB/8HTwfPCW8Ljw1fDk8N7wxvCl8ILwZPBN8D3wMfAq8CbwJPAk8CPwIfAc8BnwG/Aj8DLwRvBd8HXwj/Ct8NDw9fEa8TrxU/Fn8Xjxi/Gi8brx0fHm8fnyDvIo8kbyZfJ+8ozyjvKL8o7ynvK88uLzA/MV8xbzDvMQ8y7zcPPX9FL0z/U89Y31wvXg9fL1/vYI9g/2FPYZ9iD2LPZC9l/2gvam9sr27vcV90T3ffe/+Af4T/iU+NT5EflR+ZX53fon+mr6o/rN+u37Cfsr+1r7mfvi/Cv8a/yY/LD8tvyy/K38r/y+/Nv9B/0//YD9x/4R/lf+mP7Q/v//Jv9I/2n/jv+4/+gAHgBZAJYA0wENAUQBdgGlAdMCAgI0AmkCoALYAwwDOwNiA4EDlQOiA6sDtQPHA+YEEQRDBHYEoQS9BMkEzATKBMwE1QTlBPgFCgUbBSsFPAVSBW4FjwWzBdMF7AX5BfoF7wXcBcgFtgWrBacFpgWlBaAFlgWJBX8FeQV4BXsFfQV8BXsFfgWKBaMFxQXqBgoGHgYnBigGKQYxBkIGWgZ2BpEGqQa8Bs0G2gbkBusG7gbvBvMG+gcGBxQHIwcwBzsHRAdKB00HSwdABywHEwb5BuMG1QbOBscGvQavBp4GkwaVBqoGzwcABzEHWwd7B5IHpge5B9AH6ggECB4INAhJCF0IcQiECJYIogimCKAIjwh0CFEIKgf/B9AHmwddBxkG0AaMBlIGKAYHBeQFsAVhBPUEeQQCA6YDdANuA4UDpgO/A8YDvwOxA6YDoAOcA5EDegNYAzEDDALvAtwCzAK6AqECgwJjAkMCIwIAAdYBogFpATIBCADwAOgA6wDuAOoA2wDDAKkAkAB8AGsAXQBPAEIAOAA0ADYAPABDAEkATgBRAFcAXwBrAHgAhgCRAJoAogCqALUAwwDTAOEA7QD0APYA9ADwAO0A7ADvAPMA+AD9AQABAQEAAPwA9wDyAPEA+AEPATsBfwHXAjkCmQLsAyoDVANzA48DswPjBBwEVwSNBLUEzgTYBNgE0gTLBMYExATGBM4E2wTsBQAFFAUpBTwFTgVfBW4FewWFBYsFjwWTBZgFnwWnBa4FtAW3BbkFuQW6BbkFtQWuBaQFmgWWBZwFrwXNBfQGHQZABlsGaAZnBlgGOgYOBdQFjQU+BOwEngRbBCoEEAQPBCcEVASPBNEFEgVKBXUFjgWWBYoFbQVABQMEuQRlBA0DtwNpAykC/QLmAuIC7gMDAxsDMgNEA1IDWwNhA2YDagNuA3ADcANvA20DaQNiA1cDSAMzAxkC/ALcAr0CnwKFAm0CVwJAAiYCCQHoAcMBnQF3AVMBMgETAPMA0wCvAIsAZgBFACkAFQAE//L/2f+2/4r/Xf88/zT/S/+B/8kAEgBLAGkAagBWADkAHQAJ//v/8P/m/97/3//vAA0ANABYAGcAVwAl/9f/ff8l/tr+ov55/ln+Pv4j/gv99v3n/dz90/3I/bf9of2E/WT9Qv0f/P383Py+/KP8jPx3/GD8Qvwc++z7tvt9+0n7HPr3+tn6vvql+ov6cvpa+kX6Mfoe+gf56vnF+Zj5Zvkz+QT43Pi9+Kf4lfiD+G34T/gs+AX34ffE96/3ofeU94P3a/dK9yP2+vbS9q/2kfZ29lz2QfYk9gP12/Wt9Xv1R/UW9Oz0zPS29KX0mPSL9H/0d/R29Hz0h/ST9Jr0mfSO9Hz0ZfRL9C/0EfPx89HztvOh85XzjvOJ837zbPNR8zDzDPLn8sPynvJ48lHyK/IH8efxyvGw8ZbxevFd8T3xHPD68NTwrPCC8FrwN/Ab8ATv8e/b78Dvne9371DvLO8O7vPu2u7A7qTuh+5s7lXuQu4z7ibuGO4I7fXt4O3H7a3tke117VvtRu047THtMe007TbtN+017TPtMe0x7TPtNu037TbtMu0v7TDtNu1E7VXtaO137YDtg+2E7YftkO2l7cXt7+4i7lfuiu617tXu6u717vvvBO8T7yzvUO9576Lvx+/m8ADwGvA58GLwlfDP8QvxRfF48aTxy/Hx8hfyQfJu8p/y0vME8zXzZPOR873z6vQY9Ej0evSs9Nn1APUf9Tj1T/Vp9Yr1t/Xv9jL2f/bV9zX3nfgK+Hj43/k6+Yf5yPoC+jz6ffrE+wz7UfuI+7D7x/vS+9j73/vq+/r8Dvwk/D38XvyN/NH9MP2s/kP+7v+gAE8A7wF3AeMCMwJqAo4CpwK9AtYC+QMnA2IDpgPvBDoEhATLBRAFUwWWBdgGGwZdBp8G4QciB2IHowfmCCwIdQjDCRIJYAmsCfQKOAp8CsELCAtQC5YL1gwQDEUMeQyyDPMNOw2HDdQOHg5jDqMO3w8ZD1IPiQ/BD/oQNRBwEKoQ4RESET0RYxGJEbIR4RIUEksSgBKzEuMTEhNBE3ITpBPWFAcUOhRuFKcU4hUfFVkVjhW/Fe0WHhZSFosWxhb/FzEXXBd/F5sXtBfKF94X7Rf4F/4YABf/F/4X/Bf6F/oX+hf5F/cX8xfsF+IX2BfRF9AX1BfeF+gX8BfxF+0X5hfgF9wX3BfeF94X2xfVF9AXzRfQF9gX4xfsF/QX+hgCGBAYJhhAGFsYbxh5GHQYZRhOGDUYHhgKF/oX7BffF9EXxRe6F7UXuhfKF+QYAhgbGCYYHhgEF+EXwRevF64Xtxe9F7EXiRdGFvAWlxZIFgwV4RXCFaYVihVvFVsVUxVaFXEVlBW8FeYWDRYuFkoWYBZyFoIWkBafFq0WtBayFqEWgxZaFi4WBRXjFcYVrhWWFX0VZBVNFTkVJxUSFPMUyRSRFFIUEBPUE6ATdBNMEyYS/xLWEq8SixJrEj0SIRIFEesR1BHCEbQRqhGeEY8RexFiEUYRKhEPEPYQ3hDGELAQmxCJEHoQcBBoEGAQVRBIEDgQJxAWEAgP/A/yD+gP3Q/RD8EPrA+TD3QPUA8pDwEO2w64DpoOgw5zDmkOZQ5jDl4OUA40DggNzw2QDVQNIw0ADOcM0Qy4DJUMZwwwC/ULuwuFC1ALHAroCrMKfwpPCiQJ/gnbCbwJoQmMCX4Jegl9CYUJjAmNCYQJcglZCT4JJAkPCP8I8AjgCMwItQicCIQIcAhhCFYITQhFCDsILggfCA4H+QfhB8kHsQeeB5EHiQeCB3gHZAdHByAG9wbTBrgGpwahBqEGpQaqBrAGuAa/BsQGwwa4BqIGhAZfBjkGFQX1BdwFzAXEBcUFzwXeBe4F+QX7BfAF2wW8BZcFcQVKBSQE/wTaBLUEkgRxBFIENAQWA/gD2QO8A6ADiAN1A2YDWwNRA0cDOQMoAxEC9QLWArYCmQKDAnUCcAJxAnQCdgJxAmYCVQJAAicCDQHxAdQBtQGUAXIBTwErAQQA2gCuAIEAVQAsAAX/3/+1/4b/UP8U/tX+lv5d/iv+A/3j/cr9t/2o/Zv9kf2J/YX9hf2J/Y79kv2P/YT9cf1Z/UP9Mv0q/Sn9K/0n/RX88Py3/G38GPvC+3H7KPrq+rL6fPpE+gj5yfmL+VX5KvkL+PT44PjI+Kj4gPhS+CP3+PfT97L3lfd59133QPck9wn27vbS9rb2l/Z49lj2OPYX9fX10vWr9YP1WPUs9P/00fSl9H30W/RC9DH0KPQi9Bz0FPQG8/Pz2vO885vzePNW8zbzG/MG8vTy5PLT8sLysvKl8p3ymfKV8pDyhvJ58mvyX/JY8lTyUPJJ8j7yMPIk8hzyG/Ib8hnyEfIB8e3x2vHP8c7x2PHq8f7yEPIb8hvyDfHx8cnxmfFp8T7xHvEL8QXxB/EO8RXxGfEX8Q/xA/D38PDw8fD58QLxBfD88OPwwPCc8ITwfvCK8KPwvfDN8NDwxfCx8JrwgvBr8FXwQfAw8CHwFvAN8AbwAe//8AHwCfAW8CXwNPBC8FDwY/B/8KPwy/Dw8Q7xI/E08UbxX/F+8Z/xvfHV8eryAPIe8kLyaPKH8pjynfKe8qfyvvLj8wrzJ/Mw8ynzH/Mm807znfQI9H306PU79XL1kPWg9an1rfWu9az1q/Wv9b713PYG9jf2aPaW9r325PcN9z73d/e19/T4L/hn+J741/kX+WD5sfoF+lb6ofri+xv7T/uD+7j78Pwp/F78ifyo/Lv8xPzJ/ND82/zt/Qf9KP1Q/YL9vv4C/kz+lv7b/xf/SP9w/5T/t//dAAgANwBqAJ4A0gEIAT0BdAGrAeICGAJPAoYCvQL0AyoDXQOLA68DyQPaA+MD7AP7BBQEOQRmBJUEvgTbBOsE8gT3BP4FCgUbBS4FPgVLBVYFYwVzBYkFowW/BdkF6wX1BfUF7AXdBc0FvwW1BbAFrgWqBaEFlQWHBXwFeQV+BYgFkwWZBZsFnAWiBbAFyAXnBgcGJAY6BkwGXQZuBoAGkgaiBrAGuwbGBtMG4QbuBvkHAgcJBxAHGwcoBzcHRQdRB1oHYgdoB2wHawdjB1IHOwclBxMHBwcABvgG7AbaBsYGuga8BtAG9gcmB1YHgQeiB7sH0QfmB/0IFggvCEoIaAiICKsIzgjqCPwI/gjvCNIIrQiECFwINwgRB+YHrQdkBwwGrAZPBgEFxwWdBXYFPgTrBHsD/gOMAz0DIQMyA18DjgOpA6oDlgN+A3ADcQN7A4QDfgNlAzwDDgLlAscCswKlApcChAJsAk4CKAH5AcEBgwFGARUA9wDwAPgBBQELAQEA5AC8AJEAbABRAEIAOwA3ADUAMgAvACwAKQAmACMAIAAfACEAKQA2AEkAXwB1AIoAmgClAKwAsgC5AMUA1QDoAPoBCAEQAREBDwELAQgBBwEJAQ0BEQEUARUBFAEQAQsBCQEOASABPwFsAaAB1QIEAiwCTwJ2AqgC6QM4A40D3gQhBFIEcwSIBJgEqAS4BMcE0wTbBN8E5ATsBPgFCQUdBTIFRwVbBW0FfAWJBZMFmwWiBagFrQWzBbcFugW8Bb0FvgW/Bb8FvgW9Bb4FxAXSBesGDgY1BlkGdAaBBn0GagZMBiUF9wXEBYwFUQUVBNwEqAR+BGMEWARiBH8ErgToBSYFXQWDBZAFfwVQBQcEqwRGA+ADgAMsAukCtwKZAo0CkAKiAr0C3wMCAyIDPgNTA2EDaQNtA24DbgNuA24DbQNsA2kDYwNaA0wDOgMjAwkC6wLMAq4CkQJ4AmICTQI3Ah4B/wHcAbQBjQFmAUIBIQECAOMAxACiAH8AWwA4ABn//v/p/9X/vf+d/3D/O/8H/uL+2v73/zb/iP/bABoAOQA5ACIAAv/j/8z/uv+r/5v/jf+H/43/of+8/9T/3P/J/5z/Wf8N/sL+f/5H/hn98v3T/br9qf2g/Z39mf2R/YL9a/1P/TL9F/z+/OX8y/yv/JH8c/xY/D78IvwD+9v7q/t2+0D7EPro+sj6r/qY+oH6aPpP+jf6IPoJ+fD50fmt+YT5Wfkv+Qr46/jS+L74q/iW+H/4ZPhH+Cn4Dvf29+L30fe+96f3ifdm9z73Fvby9tP2ufah9of2aPZE9hn16fW39YX1VvUr9Qf06vTT9L/0r/Sh9JX0jfSK9Iz0k/Sa9J/0n/SZ9I70fvRp9FH0NfQX8/nz3/PL877ztfOs85/zjPNz81XzNPMR8u3yx/Kh8nzyXPJB8izyGfIF8evxyvGk8XzxVPEu8Qnw5fDA8J3we/Bd8EPwK/AR7/Xv1u+175Xvee9f70fvL+8U7vbu1+667p/uiO517mPuUe497ibuDO3t7cvtp+2E7WftU+1I7UjtTu1W7VztXe1a7VPtTe1K7UntSe1J7UbtQe087TrtQO1N7WDtdu2I7ZPtmO2Y7Zntn+2w7cvt8e4e7k/ufu6o7sru4u7x7vvvBO8S7yjvSO9u75bvve/e7/vwGPA58GLwk/DL8QXxPfFv8Z3xxvHu8hfyQfJu8pzyzfL+8y/zYPOP873z6vQX9Eb0ePSq9Nz1CPUt9Ur1YfV49ZP1t/Xm9iD2Zva39xP3evfo+Ff4wfkf+W75r/no+h/6Wvqa+tv7GvtR+337nvu4+8z73fvt+/v8CPwV/Cb8Pvxi/Jn85f1L/cr+Yf8L/74AcQEXAaUCEwJgAowCoAKnAq0CvQLdAxADUwOhA/MERQSTBN4FJwVvBbYF/AZBBoQGxAcCBz8HfwfBCAkIVQilCPYJRgmSCdgKHApeCqIK6AswC3YLuAv1DC8MaQyoDO4NOg2HDdEOFg5WDpIOzQ8JD0YPgw+9D/YQLRBjEJoQzxECETERXBGHEbQR5hIbElMSixK/EvATHxNOE34TrxPhFBUUShSBFLoU9BUtFWQVlxXKFfwWMxZsFqgW4xcaF0oXcheTF68XxRfXF+MX6xfuF+8X8BfwF/AX7xftF+gX4hfcF9cX0RfLF8UXvxe9F78XxhfPF9kX4RfjF+MX4BfeF94X3hfcF9cXzxfGF8MXxxfTF+UX9xgHGBMYHhguGEUYZBiGGKEYrRimGIsYZBg6GBUX+RfoF98X2hfXF9UX0hfRF9MX2hfpF/0YFRgqGDcYNxgrGBcYAxfzF+kX3xfLF6QXZxcZFsYWexZDFh8WCBX0FdkVthWQFXEVYRVnFYAVpxXUFf8WJBZCFlkWahZ5FocWlRalFrMWuxa4FqcWhxZeFjIWCRXnFcwVtRWfFYcVbxVYFUIVKxUQFOwUvRSEFEYUCRPRE6ATdRNMEyMS+BLMEqMSfRJcEjwSFxHyEc0RrRGUEYIRdRFoEVoRSRE0ER8RChD3EOMQzhC3EJ8QiBB1EGcQXxBaEFYQThBDEDQQIxAUEAgP/g/3D/AP6A/eD9APvQ+kD4QPXg80DwgO3g62DpMOdQ5dDkwOQQ47DjcOMA4fDgAN0w2cDWMNMA0IDOkM0Ay2DJUMbQw/DA4L3AurC3gLQwsMCtQKngptCkIKHgn/CeMJyQm0CaQJnAmZCZoJnAmZCZEJgQltCVUJPgkoCRUJAwjxCN4IyAixCJoIhwh5CG8IaQhkCF8IVghKCDkIIggGB+gHygexB54HkQeJB4AHcQdaBzsHGAb3Bt0GzQbFBsMGxQbIBssGzgbPBs4GyQa9BqsGkwZ3BlkGPAYjBhAGBAX/BgIGCQYRBhQGDgX9BeEFvQWTBWgFPwUaBPkE2wS+BKIEhARnBEgEKgQLA+wDzAOsA44DcwNcA0sDPwM2Ay4DIwMTAv0C4QLDAqgCkgKFAoECggKFAoQCfAJrAlMCOAIbAf0B4QHEAaYBhwFnAUcBJgEFAOAAuACNAGEANgAO/+n/x/+i/3n/Sf8T/tr+n/5n/jP+Bf3e/b/9p/2T/YP9df1p/WD9W/1b/V/9Y/1i/Vj9Rv0u/Rf9B/0C/Qb9DP0M/Pz81/yd/FP8APus+1z7E/rR+pX6W/oi+ej5rvl4+Un5I/kG+O741fi3+JH4Y/gz+AT33Pe896L3ivdy91b3N/cX9vj22va99p/2gfZi9kP2JPYF9eb1xfWh9Xr1UPUk9Pb0yfSe9HX0UvQ19B70DfP/8/Pz5fPV88HzqvOP83DzT/Mu8xHy+fLo8tzy0fLE8rPyofKQ8oTyffJ58nXybvJl8lryUfJM8knyRvI/8jLyI/IU8gryBvIF8gPx/fHx8ePx1vHP8dDx2PHj8fDx/PIH8g7yDvIF8fHx0fGr8YLxXvFC8TDxJfEh8R/xHfEa8RbxEPEN8Q/xGPEl8TPxO/E28SLxAvDg8MLwsPCr8K3wsfCx8KrwofCW8I7wiPCA8HbwZvBT8D7wKfAW8Abv+u/17/jwAvAQ8B7wKPAv8DfwRvBf8ILwp/DI8ODw8fEC8RrxPvFp8ZPxtvHO8eDx9fIT8jvyZfKH8pzyp/Kx8sby6fMU8zrzTfNI8zbzKvM5823zwvQl9ID0wfTm9Pb1APUQ9Sn1RvVi9Xf1ivWg9cH17/Yo9mL2mPbG9u73F/dH93/3u/f3+Cz4WPh++KT40fkK+VD5oPn3+lH6qfr9+0r7jfvG+/T8Gfw3/E/8ZPx3/In8m/yw/Mf84vz//R39Pv1h/Yv9vv37/kH+iv7R/xD/RP9v/5f/v//qABkASQB6AKoA2gENAUMBfAG2Ae4CIwJVAoYCuwL1AzQDdQO0A+sEFwQ2BEwEWwRqBHwElQS0BNME7wUDBRAFFwUdBSYFMwVEBVcFaAV1BYAFigWWBaMFsQXABc4F2QXhBeUF5AXfBdcFzgXFBb4FtwWuBaMFlgWKBYMFhQWPBaEFswXABccFyAXJBc0F2AXrBgMGHgY7BlkGeAaYBrQGygbYBt8G4QbiBuYG7gb4BwQHEAcbBygHNwdGB1QHXgdlB2oHbQdwB3QHdQdyB2kHWgdLBz8HNgcwBygHGwcKBvkG7gbxBwQHJgdSB4AHqQfMB+gH/QgQCCIINghQCHMIoQjYCRAJQQleCWEJRwkVCNcImghnCEUIMQggCAgH3AeTBy0GsgYwBbMFRgTmBI0ELgPDA08C4gKUAnkCmALmA0cDmwPKA8wDqgN6A1IDPwNBA0wDUQNGAyoDAwLZArUCmgKIAnoCbAJaAj8CGQHmAakBaQEvAQYA9AD2AQUBEwEVAQUA5AC5AI8AawBRAEAANAAoABsADP/8/+3/3//V/87/y//M/8//1//l//kAFQA4AF0AfgCYAKgArwCyALcAxADZAPMBDAEfASgBKAEjARwBGQEbASEBKQExATcBOgE7ATwBPwFGAVEBYAFwAX8BiwGVAaEBtQHZAg8CVwKpAvoDQQN5A6MDxwPsBBkETgSGBLkE3wT2BQAFAQUCBQYFEQUiBTQFRwVZBWkFeQWHBZUFoQWtBbYFvwXGBc0F1QXcBeQF6wXyBfcF/AYCBgwGHgY5BlwGgAadBqwGpwaNBmIGLwX6BckFngV4BVcFOAUbBQIE7QTgBNwE4gTzBQ4FMQVVBXMFggV4BVAFCgSrBDwDxgNXAvcCrQJ8AmQCYQJvAogCpgLHAuYDAwMcAzEDQgNOA1cDXANfA18DXgNcA1kDVANMA0IDNgMnAxYDBALvAtcCuwKcAn4CYwJNAjwCLwIhAg0B8QHMAaIBdQFKASMBAADgAMMApwCLAHAAUwA1ABb/+P/c/8L/p/+F/1j/HP7Y/pr+dP53/qf++/9g/7z/+QAOAAH/4P+9/6H/jv9//23/VP82/xz/Dv8P/xv/J/8o/xf+8f67/n7+QP4H/db9q/2J/W/9Xv1W/VT9U/1O/UH9Lv0W/P/86/zc/M38u/yj/IX8Yvw//B78APvi+8D7mftr+zv7Dfrl+sT6qvqS+nv6Y/pL+jP6G/oC+ef5xvmh+Xn5U/kx+RT4/fjo+NT4vfil+Iz4dfhg+E34PPgr+Br4Bfft98/3rPeF91z3NvcT9vX22/bB9qP2fvZT9iP18fXC9Zf1cfVO9S/1EvT39N/0y/S89LD0qfSk9KL0o/Sk9KT0o/Sf9Jb0ifR49GP0S/Qz9Bv0BvP08+Tz1PPD87HznfOI83HzWfM98xzy+fLU8rTym/KL8oDydfJi8kTyGvHp8bfxifFi8UDxIvEE8OTwwvCf8HzwWvA58Bjv+u/e78Tvru+Z74PvbO9R7zPvFe727tnuvu6m7o/uee5i7kjuK+4I7eLtu+2Y7X7tbu1q7W7tdu1+7YLtgO167XLtau1l7WTtZe1m7WXtYe1c7VrtXO1n7Xjtje2h7bHtu+3A7cTty+3Z7fDuD+4z7lruf+6h7rvuze7X7tzu3+7n7vfvEe80713viO+z793wCPA18GbwmfDO8QLxM/Fi8ZDxvvHt8hzyS/J48qPyzfL58yjzWvOO88Lz9fQl9FT0hfS29On1GvVF9Wj1hPWc9bT10fX49ir2afa19w73c/ff+E34tvkS+WH5oPnX+gr6Pvp1+q765/sc+0z7d/ue+8H73/v4/Az8HPwq/Dv8U/x0/KH83P0q/Yz+Bv6W/zr/6ACUATEBswITAlACbQJ3AnoCgwKeAs4DEgNkA7sEEgRkBLIE/AVFBY4F1gYdBmEGoQbfBx0HXQeiB+sIOgiNCOIJNAmCCckKDApMCowK0AsWC10LogvkDCUMZgyqDPMNPg2IDc4ODw5LDoYOww8ED0UPhA+/D/MQJBBTEIUQuRDwESYRWhGMEb4R8BIkElkSjRLBEvITIhNSE4ITtBPoFB4UVxSRFMsVBBU7FXAVoxXXFg4WSBaFFsEW+RcrF1YXeheYF7IXxRfSF9gX2RfYF9gX2hfgF+UX5xfkF9wX0hfHF78XuRe1F7MXsRexF7MXuBe+F8UXyxfPF9IX1BfWF9gX2BfVF88XxxfCF8UX0BfkF/wYEhgjGC8YOhhLGGQYhRikGLcYtRibGG0YNhgDF94XyxfJF9EX3RfnF+0X7hfsF+oX6hftF/cYBhgYGCoYNhg5GDIYIxgPF/YX2BewF30XPhb5FrgWghZdFkQWMBYZFfoV1BWvFZQVixWVFawVyhXoFgMWGhYxFkoWYxZ8FpIWpBaxFrcWtharFpYWdhZQFigWAxXkFc0VuhWoFZUVgBVpFVIVORUdFPoUzxScFGQUKxPyE7wThxNUEyIS8xLIEqESfxJdEkMSGBHpEbwRlRF1EVwRSBE2ESQRERD+EO0Q3hDQEMEQsBCbEIUQcBBfEFQQThBKEEUQPhAzECUQGRAPEAoQBxAFEAEP+Q/vD+APzg+2D5gPdA9KDx4O8g7JDqIOfw5fDkMOKw4ZDg0OAw32DeENwg2ZDWwNQQ0aDPoM3Ay+DJwMdwxODCQL+wvQC6ILbws3Cv0KxgqVCmwKSgotChEJ+AngCcsJuQmsCaIJmwmUCYsJgQl0CWMJUAk7CSYJEgj/CO0I3AjMCLwIrwikCJwIlgiQCIkIfQhtCFkIQAgjCAUH5wfMB7cHpgeZB44HfwdsB1QHOQcdBwUG8QbjBtsG1gbUBtMG0QbOBskGwAazBqMGkQZ8BmYGUAY8BisGHwYYBhQGEwYPBgUF9AXaBbkFkQVoBT8FGQT4BNsEwgSrBJIEdgRXBDUEEwPxA9ADsAORA3MDVgM8AyUDFAMIAv8C9wLtAt8CzAK4AqQClQKLAoYChAKAAngCagJUAjoCHQH/AeEBwQGfAXwBWAE2ARcA+QDcAL0AmABwAEUAG//1/9P/tP+U/3D/Rv8Y/ub+sf58/kf+Ff3m/b39m/1//Wn9Vv1F/Tf9LP0n/Sf9J/0j/Rj9BPzt/Nn8z/zS/N786/zs/Nr8sfxz/Cj72PuJ+z76+fq3+nf6Ovn/+cj5lvlr+UX5JvkJ+Oz4y/ij+HP4QPgN9+D3vPeh94v3d/df90L3Ifb+9tz2vfag9oX2aPZL9i32D/Xx9dP1tPWS9W31RfUb9PL0yvSj9H30WPQ29BXz9/Pc88TzsPOd84zze/Nm807zMfMS8vXy3vLN8sPyu/Kx8qLyjvJ58mfyW/JT8lDyTPJH8kPyQfJD8kfySfJH8j3yLfIb8grx/fH08e3x5fHd8dbx0vHS8dXx2vHd8eDx5PHt8fnyB/IR8hLyBvHu8c7xrPGM8XLxXvFP8UTxPPE38THxLPEn8SPxI/En8S7xNfE38TLxJfET8QLw8/Dk8NTwwPCn8I7wevBx8HTwgPCO8JnwnPCV8IfwcvBZ8D/wJ/AW8A3wDPAS8BnwH/Al8C7wP/BZ8HnwmPCv8L/wzfDh8QLxMPFk8ZPxtfHK8drx7/IR8j3yafKN8qPysvLE8uXzE/ND82TzavNY8z3zM/NK84fz2PQl9Ff0ZvRc9FD0V/R+9MH1EPVa9Zb1xfXv9hz2T/aF9rj24fcE9yX3T/eG98j4DvhM+H74ofi9+Nn4//kw+W75tvoD+lX6qvr9+0v7j/vD++j7/vwL/Bb8I/w2/E38avyL/K/81/0A/Sr9U/17/aX90/4J/kb+h/7G/wD/Mv9e/4r/uv/uACYAXgCRAMAA7QEcAU4BgwG3AeYCEAI2Al4CjQLJAw8DXAOpA/EEMARiBIoEqQTBBNYE6QT6BQsFGAUjBSoFLgUzBTsFSAVZBW0FgAWSBaAFqwWzBbkFvQXABcIFxwXOBdYF3QXiBeEF3AXUBcsFwgW6BbEFqAWfBZoFmwWkBbMFxgXXBeQF7AXvBfIF9QX7BgUGFAYpBkYGaQaQBrYG1gbtBvgG/Ab9Bv0HAAcGBw4HFwchBy0HOwdKB1cHYQdmB2kHagdtB3EHdQd3B3YHcQdrB2YHYgddB1cHTAc/BzAHJwcnBzUHUQd4B6QH0Af2CBMIJggzCDwITAhoCJcI1gkgCWUJlgmlCY0JUgkBCK0IZwg7CCkIKggvCCkICAfBB1IGvQYPBVMElQPgAzcCnQIUAaMBWAFCAWoBzgJeAv4DjQPvBBcECgPaA5wDZAM8AyYDGwMTAwcC9QLbArwCmwJ6AlwCQQImAggB4wG0AX8BSwEfAQUA/AEAAQkBCwECAO0A0ACyAJYAfQBjAEUAIv/6/9L/r/+T/4D/dv90/3j/gP+J/5H/l/+c/6b/uf/ZAAUANwBoAI8AqAC1ALsAwgDOAOIA+gEQASABKQErASoBKwEwATkBRQFSAVwBZAFrAXMBfwGPAaIBtQHDAckBxgG/AboBvwHVAf0CMgJrAp8CyQLpAwUDKANbA6AD9ARMBJwE2gUCBRYFHQUgBSQFLgU8BUsFWQVmBXIFfQWJBZUFoQWsBbUFvgXIBdYF6AX+BhYGLwZFBlYGYgZsBncGhwacBrUGyQbRBsUGoQZrBioF6QWxBYcFagVYBUsFQgU8BToFPAVEBVAFXgVtBXgFfAV1BV4FMwT0BKIEQwPfA38DKwLqAr4CpwKjAq4CwwLdAvgDEAMkAzMDPgNFA0oDTgNQA1EDUQNPA0sDRwNAAzcDKwMbAwkC9gLjAtICwwKzAp8ChQJmAkQCJAIMAfwB8gHqAd0BxwGmAX4BUgEnAQAA3AC7AJwAgABnAFEAPAAlAAr/6//K/6r/jP9q/z//BP67/m/+M/4b/jL+eP7b/0H/kf+8/8H/q/+N/3P/Y/9Y/0f/Kv8B/tL+qP6M/oD+fv59/nT+Xf45/g393v2x/Yn9Zv1J/TD9Hv0S/Qz9B/0C/Pn86/za/Mv8v/y3/K/8pPyR/Hb8VPwt/Af75PvD+6P7gvtd+zf7EPrs+sv6rvqS+nn6YPpJ+jP6HfoF+ej5x/mi+X35Wvk9+Sf5FPkB+Ov40fi1+Jr4g/hy+Gb4XPhQ+D/4KfgN9+z3xvef93f3UPct9w728fbT9rH2ifZc9iz1//XX9bb1mvV+9WH1QfUh9QP07PTc9NH0y/TG9MH0u/S29LL0rPSl9Jv0jPR69Gb0U/RB9DL0JPQU9ALz7fPW88Dzq/Oa84vzefNk80fzJ/MF8uny1fLK8sLyt/Ki8oDyUvIe8erxvfGY8XnxXPE+8Rzw9fDL8KDwdvBP8CvwDe/z797vy++476Lviu9v71PvNe8Y7vvu3+7F7q3ul+6B7mjuSu4m7f/t2e257aPtmO2X7Zztoe2j7aHtmu2R7Yftf+177XrtfO1/7YLthO2G7YjtjO2W7abtuu3P7ePt8u387gXuDe4Z7iruQO5Z7nTujO6g7q7utO607rHur+6y7r3u0+7y7xrvSO9777Hv6/An8GPwnfDT8QPxMPFc8YrxvPHx8ijyW/KJ8rLy1/L98ynzW/OT8830BvQ79Gz0nPTO9QH1NfVn9ZL1tfXR9en2A/Yj9k72hvbL9x/3gPfo+FT4u/kW+WL5n/nP+fn6JPpR+oP6uPrs+x/7UPt++6j7zvvv/Ar8Ivw5/FH8bPyM/LP84/0f/Wv9zP5B/sr/YP/7AJABFAGAAdECBgInAj8CWAJ+ArYDAQNYA7QEDQReBKcE6gUrBWsFrAXtBi4GbgavBvEHOAeCB9IIJQh9CNQJKwl9CcgKDQpMCooKyQsLC1ELlwvdDCMMaQyxDPoNRQ2NDdEOEA5LDocOxQ8HD0kPiQ/CD/QQIRBNEHwQrxDnESERWRGPEcER8xIkElYSiRK8EvETJBNYE4sTvhPyFCgUYRSdFNkVFBVLFYAVsxXoFh8WWRaUFswW/xcpF04XbReIF58XsRe6F74XvBe7F70XxBfOF9cX2hfXF84Xwxe4F7AXrBerF6sXqxerF60XsBe0F7oXwBfFF8oXzRfQF9IX0hfQF84XzBfOF9cX5hf6GA8YIBgrGDEYNhg/GE8YYxh0GHkYaRhEGBAX2RetF5cXmhevF88X7hgFGBAYERgKGAAX9hfvF/AX9xgFGBUYIBghGBUX+hfWF6wXgRdWFysXABbWFq4WixZsFlEWNBYVFfQV1BW9FbIVtRXBFdEV3hXoFfEV/xYYFjoWYxaJFqYWtha4FrAWoBaMFnUWWhY7FhwV/hXjFc4VvBWtFZ4VjRV7FWcVURU4FRsU+BTOFJ0UZhQpE+gTpRNlEyoS9xLMEqkSiRJoEj0SDhHdEa8RhhFjEUURKxESEPsQ5RDSEMIQtRCpEJoQiRB1EGIQURBFED4QOxA3EDIQKBAdEBIQChAIEAoQDhAQEA0QBQ/6D+wP3A/KD7MPlg9xD0YPGg7vDscOoQ58DlcOMw4SDfYN4A3MDbkNow2JDWwNTg0yDRYM+QzZDLUMjgxmDEAMHAv3C80LnAtlCywK9QrECpsKeApZCj0KIgoHCe8J2gnHCbcJqgmfCZcJjwmHCXsJbAlZCUUJMQkgCRIJBgj7CPEI6AjeCNUIywi+CK0ImQiCCGoIUQg5CCIICwf1B98Hywe3B6QHkQd+B2oHVQdABykHFAcABu4G4AbVBs0GxgbABrcGrAagBpIGhAZ0BmQGUwZBBi8GIAYTBgkGAAX2BekF2AXBBaQFgwVeBTcFEQTtBM0EsgSaBIIEZwRHBCQD/wPbA7gDmQN7A14DQQMkAwgC8QLeAtECygLEAr8CuAKuAqECkwKGAnkCbgJiAlUCRgI0Ah8CBwHsAc0BqQGCAVkBMgEOAPEA2ADAAKUAhgBhADkAE//w/9H/tP+W/3P/Sv8d/u7+vv6N/lr+Jv3y/cH9lP1u/U79Mv0Z/QT88vzl/N782PzQ/MT8s/yi/Jj8mvyo/Lz8y/zJ/LD8ffw5++37oftb+xv63fqe+l76Hvnh+az5gPld+T/5I/kG+OL4uPiG+FD4Gvfn97z3m/eC92/3W/dD9yf3Bvbk9sX2qPaO9nP2V/Y49hj1+PXZ9bv1nvV+9Vz1N/UR9Ov0xvSi9H30V/Qw9Ajz4PO685nzfvNp81nzTPM/8y3zFvL78t7yxfKz8qnyovKc8o/yffJm8k/yO/Iu8ibyIvIh8iPyKPIx8jzyRfJI8kHyMfIb8gTx7/Hf8dPxy/HH8cjxzPHS8djx2fHV8c/xzPHR8eHx9/IP8h/yJPIb8gjx7/HU8bjxnvGH8XPxY/FY8U7xRPE28SXxFfEJ8QXxCPEQ8RrxI/Ep8SvxKvEi8Q/w8vDN8KbwhvB18HbwhfCe8LfwzPDY8Nrw0fC+8KLwgvBh8EbwMfAl8B/wH/Ak8DHwRfBg8Hzwk/Ci8Kzwt/DP8PbxK/Fi8ZDxrvHB8dPx7vIW8kfydPKV8qjyt/LP8vfzLPNd83nzdvNd80HzPfNd85vz4fQR9Bz0BPPi89Tz8vRA9LD1KPWQ9d72FPY+9mj2lfbB9ub3AfcY9zP3Xvec9+f4NPh3+Kn4zfjp+Qj5L/lg+Zn51voU+lX6mPrd+yH7XPuM+677xPvV++f7/fwY/Df8WPx7/KH8zfz9/S/9Yv2R/b796v4a/k/+iP7B/vj/Kf9Y/4j/vv/5ADYAcQCjAM8A9wEgAU0BfQGsAdQB9QITAjMCXQKWAtoDJgNyA7oD/AQ5BHEEogTNBO4FBgUXBSMFKwUzBTkFPwVEBUwFVwVmBXkFjQWgBbAFvAXCBcQFxAXCBcIFxgXOBdkF5AXsBe4F6wXjBdsF1QXRBdAFzQXHBcAFugW5Bb4FyQXaBewF/gYMBhYGGwYcBhoGGgYfBi0GRAZkBokGrQbLBuEG8Qb8BwQHCgcPBxMHFwcbByIHLAc6B0gHVAdeB2UHagdvB3QHegeAB4QHhweIB4kHigeJB4UHfQdyB2QHWAdTB1oHbweRB74H7AgVCDMIQwhJCE4IXgiCCLwJCAlYCZgJuQmwCX8JMQjaCI0IVgg9CDoIRAhMCEQIIQfaB2gGxwX6BQYD/ALuAfMBHwCAAB3/+wAUAGYA6AGOAkgDAgOmBCEEaAR4BFcEFAPDA3UDNwMPAvoC7wLiAswCqQJ7AkoCGgHuAcUBmwFwAUcBJAEOAQcBCwERARABAwDpAMkAqwCTAH0AZABAAA7/0/+Y/2j/Tf9G/1H/Zv9//5f/qv+4/73/uf+t/53/k/+W/6z/1AAKAEIAcwCXAK0AugDDAM4A3gDzAQkBHQEuAToBRQFOAVoBaAF3AYUBkQGbAaUBsgHGAd8B+wIUAiUCKwIoAiECHgImAjkCVQJ0ApACpgK6AtEC9QMrA3MDyAQhBHMEtgTmBQcFHQUtBT0FTQVcBWkFdAV9BYcFkQWcBagFsgW4BbwFwAXIBdcF7wYRBjoGZQaNBq0GwgbOBtUG2AbcBt8G3AbNBq0GfQZBBgMFywWhBYcFeAVxBWwFZwVkBWQFaQVyBXwFggV+BW0FSwUYBNYEiAQzA98DlANYAzEDHwMgAy4DRANbA3ADgAOLA5EDkwORA4wDhQN9A3QDawNiA1gDTQNCAzcDLAMgAxMDAgLvAtkCwwKvAp8CkQKEAnMCWwI8AhcB8gHTAbwBrQGhAZMBfgFjAUIBIAEAAOEAwwCjAIEAYQBEACwAGAAF/+3/z/+s/4n/aP9H/yH+7/6u/mL+Gf3n/dv9/v5F/qD+9/82/1b/W/9Q/z//Mf8j/xH+9f7O/p/+cP5I/in+FP4D/fL93P3A/aD9gP1h/Ub9Lf0X/QL88Pzh/NT8y/zC/Lr8sPym/Jz8k/yM/IT8e/xt/Fj8Pfwb+/f70fut+4z7bftQ+zP7Fvr3+tf6tvqV+nX6WPo++ib6EPn4+d75wfmh+YP5Z/lR+T/5Lvkc+QX46vjN+LH4mviI+Hz4cPhh+E74NvgY9/j31fex94z3ZvdB9x72/fbc9rn2k/Zq9kH2G/X89eP1zfW29Zr1ePVU9TT1GvUJ9P/0+PTx9Oj03fTS9Mj0vvSz9KX0k/R/9Gv0WvRN9EH0NvQo9BXz/vPm89DzvvOx86bzmfOH827zUPMy8xnzBfL38uny1/K78pbya/I+8hTx7/HN8a3xi/Fk8TnxDPDe8LHwh/Bg8D7wIfAJ7/Xv4e/M77Tvmu9+72PvSO8u7xXu/e7m7tHuve6q7pTud+5U7i3uBu3n7dPtyu3J7cntyO3D7bntru2i7Zjtj+2I7YTthO2J7ZHtne2r7bntx+3X7ejt++4P7iLuMe497kbuT+5Y7mPuce6B7pHunu6m7qnupu6f7pfuku6V7qHutu7U7vrvJ+9a75Xv1fAZ8F3wnfDW8QjxNfFi8ZHxxfH98jbya/Kb8sXy6vMQ8znzavOg89r0FPRL9H/0svTl9Rv1U/WK9bv15vYI9iT2QPZf9oX2tvb09z73lff3+F34wfkb+WX5nfnG+eb6BPoo+lP6hfq6+u/7IftO+3f7nPu9+937/PwZ/Df8VPxz/Jb8wfz4/T79lf37/m7+6f9n/+MAWgDIASkBfAHBAf0CNgJ2AsEDGgN7A94EOgSKBM4FCAU7BWwFngXRBgYGPwZ+BsQHEAdjB7kIEQhqCMMJGglvCcAKCgpNCowKyQsIC0kLjgvVDB0MZwyxDPwNRw2QDdQOFA5QDosOxw8GD0YPhA+9D/AQHxBMEHwQsBDmER0RUxGHEbkR6RIaEk0SghK4EvETKRNhE5cTyhP9FDIUahSlFOIVHhVXFY0VwBXyFicWXhaUFscW9RcbFz0XWhd0F4oXmhejF6YXphemF6oXshe8F8QXxhfCF7kXsBeoF6MXoRehF6AXnxegF6IXpxevF7gXwRfHF8sXzBfLF8kXyBfKF80X1BfdF+gX9RgBGAwYEhgUGBEYDBgIGAcYCRgJGAIX7hfLF6AXdhdbF1YXaxeTF8MX8BgQGCEYIxgcGBAYBRf8F/gX+hf+GAEX/BfqF8cXlxdeFygW+hbaFsYWuRasFpsWhBZmFkUWIhYDFegV1hXOFc8V1RXbFd4V3hXfFeYV/BYhFlEWgxatFsQWxxa5FqIWiBZwFlwWSRY0FhsWABXlFcwVuBWoFZwVkRWFFXcVZRVQFTYVFxTyFMUUjxRRFAwTwhN6EzkTARLUEq8SjBJnEiMR8xHEEZgRcRFPES8RERD1ENwQxxC2EKkQnRCPEH0QZxBPEDoQKhAhEB0QGxAXEBAQBQ/5D/AP7Q/xD/kQARAFEAMP+w/vD+MP2Q/PD8EPqw+MD2UPOg8QDukOxg6jDn4OVg4sDgMN3Q28DaANiA1zDWANTg09DSoNFAz2DNMMrAyGDGIMQAweC/cLyQuTC1oLIgrvCsQKnwp+CmEKRQotChcKBQn1CeYJ2AnMCcEJtwmuCaMJlwmHCXcJZwlYCU0JQwk7CTMJKwkhCRQJBAjtCNIItQiXCHwIZQhTCEQINQgkCA4H9gfbB8EHqAeSB38HbQdbB0cHMQcYBv8G6AbVBsUGuQauBqMGlwaKBn0GcQZlBlcGSAY3BiUGFQYHBfsF8wXrBeIF1wXHBbAFkwVvBUQFFgTqBMIEoQSHBHIEXARDBCUEAwPeA7kDlwN2A1cDOAMZAvsC3gLGArQCqQKkAqICogKfApcCiQJ4AmQCUgJBAjMCJQIYAgcB8gHXAbYBjwFmATsBFADzANoAxQCxAJsAgABgAD4AHQAA/+b/zP+s/4b/Wf8p/vj+yP6Z/mn+N/4B/cr9lP1j/Tb9Dvzp/Mn8rfyY/Ir8gPx6/HT8b/xu/HT8hPya/K/8tvyo/H/8Qfv2+6v7Z/su+vr6xvqN+k36CvnL+Zb5bPlL+TD5E/jy+Mn4mfhk+C33+PfJ96L3g/ds91j3Q/cs9xH29PbW9rr2n/aF9mj2SPYk9f712vW59Zz1gvVm9Uf1JfT/9Nn0svSN9Gj0QvQa8/HzyPOf83jzVvM78yXzFvMJ8vvy6/LW8r7ypvKT8ofyf/J48m7yXfJH8i7yF/IG8fvx9vH38f3yB/IU8iHyK/Iu8ibyFfH98eTxz/G+8bTxsPGx8bfxvvHF8cbxwPG08aXxm/Gc8avxxPHi8f7yEvId8iDyG/IO8fnx3PG68Zjxe/Fm8VfxSfE58STxDvD88PPw9vEC8RTxJvE38UbxUfFV8VDxPvEg8Pzw2fDA8LTwt/DF8Nnw7vEC8RHxGPEV8QTw6PDE8J3wePBa8EPwNvAy8DnwSfBf8HXwh/CS8JrwqPDD8O7xI/FY8YPxovG58dPx9vIj8lPyevKS8p7yq/LH8vXzLfNd83Xzb/NX80TzS/Nw86nz2fPs89nzsfOS85zz3/RS9Nz1W/W89fj2HPY59lz2iPa19tz2+vcT9zL3Yfei9+74Ofh6+Kv40Pjy+Rn5SPl9+bP56Pob+k36gfq5+vL7KPtW+3z7nfu7+9z8APwk/EX8ZPyB/KD8yPz4/S/9Zv2a/cj99P4g/lL+iv7F/v7/M/9m/5n/zwAKAEUAegCoAM0A8AEWAUIBcwGjAc0B7wIMAiwCVgKKAsgDCANGA4ADuQP1BDQEdASwBOEFBQUeBS8FPAVIBVQFXQVkBWoFcQV7BYkFmAWmBbEFuAW8Bb4FwAXEBcoF0wXfBewF+QYBBgMF/wX4BfMF8AXzBfcF+gX3Be4F4QXVBc8F0gXfBfQGDQYmBjoGRQZIBkIGOAYuBioGLgY9BlMGbgaLBqcGwQbYBusG+gcEBwkHDAcOBxIHGgcoBzgHSgdaB2gHcgd7B4IHiAePB5UHmwehB6YHqQerB6oHpQebB40Hfgd0B3QHhAekB9AH/wgmCD8ISQhLCFMIbAieCOYJOQmECbUJwAmjCWgJIAjcCKsIkQiICIgIhAh2CFkILAfpB4YG9QYoBRwD4AKPAVMAUv+n/1f/Vf+H/9gAOQCqATUB4AKoA3sEOgTHBQkE/ASvBD0DyANnAyUC/gLkAsoCpgJ3AkICCwHXAaQBcAE+ARMA9wDuAPgBCwEZARYA/ADSAKEAdABPAC8ACP/W/5n/Xv81/y3/Sv+G/9AAFwBNAHAAgACEAH4AbgBTACz//v/S/7P/qv+6/98AEwBIAHcAmgCxAMAAzgDgAPgBFQEzAUwBYAFtAXkBhgGXAakBuwHJAdMB3AHpAf0CGQI4AlUCaAJwAm8CawJrAnICggKZArMCzwLtAw4DNANiA5cD0AQMBEYEfQSvBN0FBwUsBUsFYwV0BX8FhwWPBZoFqwXABdUF5gXyBfcF+AX7BgMGFQYyBlkGhAavBtQG7wb9BwIG/gb2BukG1wa9BpgGaQY2BgQF3AW/Ba8FpAWbBY8FfwVtBV0FUQVHBTwFKQULBOAEqARnBCMD4QOoA30DZANhA3EDkAO4A+AEAwQbBCgEKwQmBBwEDwP+A+sD1gO/A6cDjwN3A18DSQM0AyIDEgMEAvYC5wLVAsACqgKTAn4CbAJaAkgCMAIUAfIBzwGuAZEBeAFhAUoBMQEWAPwA5QDRAL4AqQCOAG4ASgAnAAr/8//f/8j/rP+K/2T/QP8f/v7+2P6k/mL+Gf3V/ab9m/22/fL+QP6N/sz+9f8G/wT+9f7f/sX+qf6L/mr+R/4j/gD93f2+/aL9if1z/V39R/0x/Rv9Bfzy/OH80fzD/Lf8q/yg/Jb8jvyE/Hn8bPxd/E78QPwz/CX8FfwA++P7wvud+3v7XftF+zD7G/sD+uX6wvqa+nL6TPop+gv57/nW+b/5qPmT+YD5cPli+VT5Rvk2+SL5C/jz+Nz4xviz+KH4jPh0+Fj4Ovga9/z33fe995v3dvdP9yj3A/bg9r/2nvZ99l32QPYo9hT2AvXu9dX1tvWV9XX1W/VI9Tr1L/Ui9RX1BvT39Or03fTQ9MD0rfSa9Ib0dvRp9Fz0TfQ79Cb0DvP38+Tz1fPK88Dzs/Oi84vzcvNZ80LzLfMZ8wLy5fLE8p7yefJY8jryHfH98djxq/F58UXxFPDo8MDwnfB98F/wRfAu8BnwBO/t79Lvtu+b74Lva+9X70PvLu8Z7wTu8e7e7sjurO6K7mPuPe4f7grt/+357fTt7O3g7dPtxe257a7to+2Y7Y/tiu2O7Zrtr+3I7eLt++4S7ifuOu5L7lruZu5w7nfufe6D7oruku6b7qTuqu6s7qruou6Z7pLuke6a7qvuxe7m7wvvNu9m757v3fAg8GTwpPDe8RLxQvFx8aLx1vIM8kPyefKr8tnzBPMs81XzgPOw8+P0GfRQ9Ij0wPT59TT1bvWn9dz2C/Yy9lX2dfaY9r/27vck92P3rfgA+Fv4uPkO+Vb5jPmw+cj53Pn3+hv6Sfp++rH64fsI+yr7SPtm+4X7pvvI++j8Bvwl/Ej8dvyy/P79Wf29/iX+i/7v/1L/tgAdAIYA7QFQAa0CBwJiAsUDLwOeBAwEcATHBQ4FSAV3BZ8FwwXlBggGMQZlBqYG8wdKB6QH/ghUCKgI+wlOCaEJ8Qo8CoEKwAr9CzwLfgvEDA4MWgyoDPUNQg2MDdIOEw5QDooOww79DzgPcQ+oD90QEBBDEHcQqxDgERQRRxF6EawR3xITEkgSfxK3EvATKhNkE5wT0RQEFDgUbhSoFOMVHhVXFYwVvhXwFiMWWBaMFr4W6xcSFzQXUhdsF4EXjxeWF5cXlReWF5oXoReoF60XrRepF6MXnheaF5kXlxeUF5EXjhePF5QXnherF7gXxBfLF8wXyBfCF7wXuhe+F8gX1hfkF+8X9hf4F/YX8hfqF98X0hfCF7QXqReiF5sXkRd/F2cXTxc+Fz4XUxd6F6sX2Rf+GBQYHRgdGBkYExgNGAcX/xfzF+MXyRejF3EXNRb3FsAWmRaGFoMWiBaLFoQWcRZTFjMWFRX/FfMV7hXtFewV6RXjFd4V3RXmFf8WJhZZFo4WuhbVFtoWzBayFpUWfBZqFl4WUhZBFigWCRXnFccVrhWcFZIVjBWGFXsVaxVUFTcVFxTxFMcUlhRdFBwT1RONE0kTDBLYEqoSfhJSEgoR2BGoEXwRVBEvEQ0Q7BDOELcQphCcEJYQjhCBEG0QUxA3EB0QCQ/8D/UP7w/oD98P0w/HD78Pvg/DD80P2A/fD98P2A/PD8YPvw+6D7IPog+ID2UPPQ8XDvUO2Q6/DqMOgQ5YDioN+w3PDacNhg1qDVUNRQ05DS0NHQ0HDOgMxgyiDIEMYgxCDB4L8Qu8C4MLSwsXCuoKxQqlCokKcQpcCksKPgoyCiYKGQoKCfwJ7wnjCdcJzAnACbUJqQmeCZMJigmBCXkJcQlnCVgJQgklCQMI3gi9CKIIjgiACHMIZAhQCDcIGwf9B98HwgepB5MHfwdrB1YHPwckBwgG7AbTBr4GrQaeBpAGgwZ0BmYGWQZMBj4GMAYgBhEGBAX6BfMF7wXsBegF4AXSBb0FngV2BUcFEwTfBLEEjQRzBGIEVQRIBDUEGwP6A9MDqQOAA1kDNAMSAvIC0wK3AqACjwKGAoQChgKHAoMCeAJmAlECPAIqAhsCDwICAfEB2gG8AZgBcAFGAR4A+wDdAMUAsgCgAI0AdgBcAEEAKQAT//7/5v/H/5//b/87/wj+1/6p/nv+Sf4S/dX9lv1Y/R385vy1/In8ZfxJ/Dj8Mvw0/D78Tvxi/Hv8lfyq/LP8p/yD/En8APu0+3D7N/sJ+t/6sfp5+jn59vm2+YD5Vfkz+RX49PjO+KL4cPg7+Aj32few9433cvdb90b3MfcZ9v724fbD9qb2ivZu9lD2LvYI9eH1vPWc9YD1aPVP9TL1EPTo9L30kvRp9EP0HvP789fzsfOK82HzOPMS8vLy2PLG8rnyrvKh8pHyf/Js8lvyTfJB8jTyJfIS8f3x6vHb8dPx0fHW8d/x6/H48gPyCPIF8frx5/HR8bvxqvGg8Zvxm/Gd8aHxpPGk8Z7xj/F68WPxUfFK8VHxZfGC8aTxyPHs8g7yKfI38jHyF/Hs8bnxivFo8VLxRPE58SvxHPEQ8QzxEfEe8S3xO/FH8VPxYPFt8XnxfPF28WTxTfE18SLxFvES8RTxHPEo8TfxRfFO8UzxPfEi8P3w1PCq8IXwZ/BR8EjwSfBT8GLwcfB+8Izwn/C98OfxGPFK8XfxnPG/8eTyDvI68l/yd/KC8ofylfK28unzIvNP82TzYPNR80vzXPOC86vzwfO1843zYvNU83rz2vRe9OX1UvWX9br1zvXq9hj2VfaY9tL3Avcp91L3hffC+AT4Q/h5+KT4yfjw+Rz5T/mF+bn56foV+kH6cfql+tr7D/s/+2v7k/u8++b8EPw3/Fj8c/yL/Kf8y/z7/TL9bP2h/c/9+v4m/ln+lP7V/xT/T/+E/7b/6gAhAFcAiQCzANYA+AEeAUsBfgGvAdoB/QIaAjsCZAKYAtEDCAM7A2kDmAPOBA8EVgScBNgFBwUpBUIFVwVqBXoFhQWKBYwFjgWSBZkFogWpBa4FrwWxBbQFuwXFBdIF4QXxBgEGDwYZBh4GHgYbBhgGGAYcBiIGJgYkBhoGDAX9BfMF8QX7Bg8GKAZDBlsGagZuBmgGWgZIBjgGLAYpBi4GPAZPBmgGgwaeBrgGzgbfBusG8wb8BwYHEwcjBzYHSQdcB2wHeQeDB4sHkgeZB6AHqAewB7YHuwe+B78HvQe2B6oHnAeRB5AHnge8B+UIDwgtCDwIPQg8CEkIcAizCQoJYgmoCcsJxwmjCW0JNgkOCPcI7gjoCNoIvAiPCFsIJgfvB6gHOQaGBYIENQLBAV8AQ/+U/1b/bv+t/+cACQAbAD4AlgE8AioDPAQ9BPoFVQVLBPIEcQPrA3oDJgLpAroCkAJnAj4CFAHmAbEBdAEzAPcAzwDBAM0A5gD5APgA2wCnAGoAL//9/9H/pP9y/0P/J/8v/2j/zwBRANQBPAF8AZQBkAGAAXABYgFOAS0A9wCtAFkAC//S/7v/x//xACwAZwCYALkAzwDfAPMBDwEvAU8BaAF5AYQBkAGhAbgB0QHnAfUB/QIDAg4CIgI+Al0CdwKHAowCiwKJAo8CoAK9AuUDFANEA3IDmgO7A9YD7wQJBCsEVQSIBMEE+QUrBVMFbgV+BYUFigWTBaUFwgXnBhEGNwZWBmsGdQZ5BnsGfgaFBpEGoQa0BscG1gbhBuYG5gbgBtYGxgauBo4GZwY6Bg4F6AXJBbEFnQWGBWoFSAUjBP4E2wS4BJQEbQRABBAD4gO7A58DkQOSA6ADuQPbBAEEKQRNBGsEgASNBJIEkwSQBIgEfQRqBFEEMAQJA98DtAOMA2gDRwMrAxQDAALvAuAC0gLBAq4CmAJ+AmMCRwIsAhIB+QHfAcUBqQGMAW8BUgE1ARcA+ADbAMEArACbAIwAfABmAEkAJwAF/+X/y/+0/57/hP9k/0D/Gv74/tr+u/6W/mX+Jv3e/Zr9aP1V/Wj9nP3o/jn+gP6u/r3+sf6U/nD+UP43/iP+Dv30/dH9qP2B/WH9TP0//TX9KP0V/Pz84/zN/L78tvyw/Kv8ovyX/Ir8ffxv/F78Sfwx/Bj8Avvy++n74/vZ+8j7rfuM+2r7Tfs5+yv7H/sO+vT60fqo+nv6T/ok+f352vm7+aP5kfmG+X/5efly+Wn5XflP+UH5Mvkj+RP5Avju+NX4t/iU+G34Rvgh+AD34vfF96X3gPdX9yz3A/bg9sH2p/aO9nf2YfZO9j32LfYd9gn18fXW9br1ofWL9Xf1ZfVT9UH1MfUj9Rb1CvT89Oz02/TK9Lv0rvSg9JD0e/Rh9EX0KfQR8/7z7/Pj89XzxPOw85nzg/Nu81rzRvMw8xXy9vLT8rHykvJ38l7yQ/Ih8fTxv/GH8VDxIvD78NzwwfCn8I3wdPBe8EnwNPAe8AXv6+/S77zvqu+Z74bvcO9Y7z7vJe8N7vTu2O637pTucu5V7kDuMu4o7h3uEe4D7fXt6O3d7dLtxe227ajtoO2i7a7txO3g7f7uG+417kvuXu5t7nruhO6M7pLul+6c7qDuo+6n7qrurO6s7qnuo+6e7p3upO607s3u7u8T7zvvZe+U78jwAfA+8HvwtfDr8R3xT/GA8bPx5/Ic8lDyhfK68u7zH/NL83TzmfPA8+v0HfRV9JL00fUQ9U71ifXB9fT2IvZL9nH2l/a/9ur3GfdL94H3vPf++Ej4mPjm+Sz5Y/mI+Z/5sfnF+eP6C/o4+mX6jfqt+sb63vr3+xX7OPtc+4H7pvvM+/j8Lvxz/Mb9JP2G/ef+Qf6W/un/P/+cAAMAbwDeAU0BugIqAp4DGAOVBA8EgATjBTcFfAW1BeEGAgYYBikGPgZeBpIG2wcyB5AH7AhACI4I2QkmCXcJywocCmgKrArqCycLZwusC/gMRwyZDOoNOQ2EDcoODA5JDoMOug7wDyUPWQ+ND8EP9hAtEGUQnBDTEQgROxFvEaUR3BITEkoSgBK2EuwTJBNeE5gT0RQIFD4UdBSqFOAVFxVMFX8VsRXlFhsWUxaLFr8W7hcWFzkXVhdtF34XhheHF4MXfxd+F4MXjBeUF5kXmheYF5YXlBeUF5MXkBeLF4YXhBeIF5EXnxevF74XyBfNF8wXxRe7F7MXsBe2F8UX2BfqF/YX+BfyF+cX2hfMF7wXqReUF4AXcxdvF3UXfxeEF38XcRdhF1gXXxd2F5sXwxfnGAEYERgaGB0YHRgVGAYX7hfOF6sXhBdcFzEXAxbWFq4WkRaCFn0WfBZ4FmoWUxY3FhwWChYCFgEWAxYBFfkV7RXjFeEV7hYMFjgWbBafFsYW3BbeFs8WtxaeFooWfxZ6FnYWbRZbFj4WGBXvFckVqhWWFYsVhRV/FXMVXhVCFSEU/hTbFLcUjxRfFCYT5ROeE1cTFRLaEqQScBI9EgYR0BGaEWgROhEPEOcQwxCkEIwQfhB5EHgQdxBwEGAQSRAtEBEP+A/kD9UPyA+7D64PoQ+VD40Pig+ND5QPng+nD6sPrA+oD6QPoA+cD5UPiA9xD1MPMg8RDvUO4A7NDrkOnw59DlQOJg33DcoNoQ19DWANSw08DTANIw0RDPcM2Ay2DJYMdwxYDDYMDQvdC6cLcgtBCxcK9QrZCsIKrgqcCo0KfwpyCmQKVgpICjkKKwofChQKCgoCCfkJ8AnmCdsJ0AnFCb0JtQmrCZsJgglhCTsJFgj2CN8Izgi+CKwIkwh0CFIIMAgQB/MH1we8B6EHhgdtB1MHOQceBwEG5AbKBrIGnwaQBoEGcgZiBlIGQgYzBiQGFgYJBf4F9QXuBeoF5gXiBdoFzgW7BaEFgAVXBSgE9gTEBJcEcgRZBEoEQwRABDkEKwQSA+0DvwOMA1sDLwMIAuYCxwKqAo8CegJuAmoCbAJvAm4CZgJWAkECKwIYAggB+wHrAdgBvgGeAXkBUgEqAQMA3wDAAKYAkAB+AG0AWwBIADUAIgAR////6v/O/6j/e/9J/xb+5f62/ob+Uv4X/dX9jf1D/Pv8uPx9/En8IPwE+/b7+PwH/CL8Rfxr/I/8qfyz/Kj8hfxM/Ab7u/t3+z37EPro+r/6jvpU+hP50fmV+WL5OfkU+PH4y/ig+HH4P/gN9973s/eO92/3VPc+9yj3Efb29tf2tPaR9nD2UvY49iD2BvXq9cv1q/WN9XL1WfU/9SH0/fTR9KL0cvRF9B3z+fPZ87nzl/Ny80rzHvLy8sjypvKN8n3ydfJu8mXyV/JE8i3yF/IC8fDx4PHR8cTxuPGx8a/xsvG68cXx0fHb8eHx4PHZ8cvxufGn8ZfxjPGG8YLxgfF/8X3xevF08WvxW/FF8S3xFvEF8P7xAvET8TDxWvGR8dDyDfI88k/yQvIY8d7xpPF38VrxSvE/8TXxKfEg8R3xI/Et8TjxP/FC8UbxT/Ff8XTxifGX8ZzxmfGP8YTxevFx8WvxZ/Fo8W7xd/GA8YPxfPFq8U7xKfD+8NDwo/B78F3wTPBJ8FHwYfBz8Ijwn/C98OLxDfE88Wzxm/HM8f3yK/JR8mrydfJ38nzyj/K18unzHPNC81LzUvNR81vzdvOX86zzpfN980TzF/MT80bzqvQl9Jn08PUn9Uv1b/Wm9fH2Svah9uz3J/dY94b3tvfq+B74Tfh2+Jv4wvjs+Rz5T/mA+a/52voE+jL6Zfqc+tT7Cvs7+2n7lPu/++v8Fvw9/F/8fPyX/Lb83f0O/UX9fv2y/eH+DP45/m7+rP7u/zD/bf+j/9cACwBCAHsAsQDgAQgBLAFTAX4BqwHVAfYCDgIiAjsCYAKSAsoDAgM0A2ADjQPBBAAESASPBM4FAQUpBUgFYgV5BYoFkwWWBZUFlQWaBaMFrgW3BbsFvAW+BcIFywXYBeYF9AYCBhAGHwYuBjoGQwZIBkkGSwZOBlEGUwZRBkkGPQYvBiQGHwYjBjAGRAZbBnAGfwaEBn8GbwZZBkEGLQYfBhkGHAYnBjkGTwZoBoEGmAatBsIG1gbrBwEHFwcrBz0HTQdbB2cHcgd8B4UHjQeWB6AHqQeyB7oHvwfEB8cHyAfFB78HtgeuB68HvwfcCAEIIgg2CDkIMQguCEAIcQjBCSEJfAm+CdwJ1QmzCYcJXglACS4JIgkRCPEIwAiBCD4IAQfLB48HMwaWBaMEXgLqAYIAZv/C/5z/0QAnAGIAYgAu/+//3AAiAM4ByQLgA9sEiwTbBNIEiQQfA64DSQL0ArECfQJWAjcCGwH5AckBigFAAPcAvwCiAJ8ArQC5ALQAmABoADD//f/V/7b/nP+E/3X/ff+sAAkAjAEfAaQCAgIsAikCDQHvAeAB5QH1Af4B7QG3AVoA5QBsAAr/0v/M//IAMgB2AK4A0QDkAPIBBAEeAT0BWgFvAXwBhwGVAawByAHkAfoCBwIPAhgCJwI+AlsCdwKLApYCmgKdAqYCuwLfAxADSQODA7YD3AP0BAAECAQUBCsEUQSEBL0E9gUnBU4FaQV6BYUFkQWjBcAF6gYeBlgGkgbFBuwHBgcRBxAHAwbuBtIGtAaYBoEGcwZtBmwGbwZzBnUGcQZlBk8GLgYDBdMFogV1BU0FJwUABNYEpwR2BEYEGAPtA8UDnwN+A2UDWgNgA3kDoQPSBAYENgReBHwEkQSeBKYEqgSvBLYEvgTHBM4EzQTABKcEgARPBBkD4wOvA4EDWQM2AxcC+wLiAswCuAKkApACegJgAkICIgIBAeABwwGpAZEBeQFhAUcBKwEOAPEA0wC2AJkAfgBlAE8AOgAlAAz/8P/S/7T/mP9//2j/Uf83/xj+9v7U/rX+mv5//l7+MP31/a/9af0z/Rz9K/1f/a39//5B/mT+ZP5J/iH9+/3f/c39vf2m/YT9W/0z/Rb9CP0G/Qf9APzt/NH8s/yc/JP8lfyd/KL8nvyR/H78afxT/Dz8IvwG++j7zvu9+7b7tfuz+6n7k/t1+1T7Ofsn+x77F/sM+vn63fq6+pP6bPpD+hv58vnN+a/5nPmS+Y/5jvmL+YP5ePls+WD5VvlL+UD5L/kZ+Pz42fiv+IP4Vvgs+Af35/fJ96n3hPda9y73BPbf9sP2rfaa9or2efZo9lj2SfY69ir2GPYE9e711vW+9aX1jvV49Wf1WvVR9Un1QPU09ST1FfUI9P709vTr9Nn0v/Sd9Hj0VfQ39CD0DPP68+bz0PO486Hzi/N382bzVPNB8yvzEfL08tbyuPKb8n3yWvIx8gHxzPGW8WfxQPEi8Qrw8/Da8MDwpfCN8HjwZvBT8D/wKfAU8AHv8O/f78vvsu+T73LvUe8z7xbu+e7c7r3uoO6G7nHuYO5S7kPuNO4m7hnuDu4E7fjt6u3b7c3txe3G7c/t4O327g7uJu497lPuZ+547obuke6a7qHuqO6s7q7uru6s7qruqe6o7qjuqO6r7rLuwe7Z7vjvHe9F72zvle/B7/HwJPBa8I7wv/Dv8R7xT/GD8bnx8PIm8lzykvLL8wPzOfNo85DzsvPS8/j0KPRh9KL05fUm9WP1nPXR9gL2MPZZ9oD2p/bQ9v73Lvdf94/3vvfv+Cf4Zfip+Or5JPlQ+W75hfmZ+bH5z/nx+hL6L/pI+lz6cfqI+qX6yfry+yD7UvuK+8f8C/xW/Kj8/v1W/a3+AP5Q/p/+8v9K/6oAEAB8AOwBYAHZAlgC3QNiA+MEXATJBSkFfQXEBfwGIgY1BjsGPwZOBnQGtQcOB3IH1QguCHwIwgkJCVUJqAn8CkwKlQrWCxMLUguWC+EMMQyFDNgNJw1zDbkN+w45DnQOrA7iDxQPRQ91D6cP3BAVEFEQjRDHEP8RNBFpEZ8R1xIQEkYSehKtEuATFhNRE44TzRQJFEIUdxSqFNwVDRU9FW4VohXZFhUWUhaPFscW9hceFz4XVxdpF3MXdRdwF2kXZBdmF28XexeHF48XkReQF44XjReMF4sXiReGF4UXiReUF6MXsxfCF8wX0hfTF9AXyRfAF7gXthe8F8wX4Rf1GAEYAhf4F+gX1xfGF7UXoheMF3gXbRdvF4AXmBesF7MXqReVF4IXexeGF6EXxBflF/8YEBgaGB0YGRgKF+wXwheRF2EXORceFwsW/RbtFtoWwxarFpUWfhZlFkoWLRYTFgAV9hX2FfoV/hX8FfUV7hXvFf4WHhZMFn8WrhbOFtwW1xbEFq0WmBaLFocWiRaOFo0WhBZvFlAWKRYBFdoVuxWkFZMVhhV3FWIVRhUkFQIU4hTHFK4UkhRsFDoT+hOxE2YTHxLfEqYScRI8EgwR0hGYEWERLhEAENYQsBCNEHEQXhBUEFIQVBBTEEwQPhAoEA8P9A/bD8QPsA+eD48Pgg93D20PZw9jD2QPaA9wD3kPgQ+GD4kPiQ+GD4APdQ9kD04PNA8aDwMO8A7eDsoOsQ6TDnAOSA4fDfYNzg2oDYYNaw1XDUgNOQ0nDQ0M7AzGDKAMfQxcDDwMGAvvC8ILlQtrC0cLLAsXCwYK9wrnCtUKwgqvCp0KjgqCCncKbgplClsKUgpJCj8KNQoqCh0KDwoDCfkJ8AnlCdMJtwmUCW0JSQkvCRwJDgj8COAIuQiKCFwIMwgTB/gH3wfEB6UHhQdlB0cHLAcQBvQG1wa8BqUGkgaEBngGawZdBksGOgYpBhsGDwYGBf0F9AXqBd4F0AW/BasFlAV4BVkFNQUPBOYEvQSUBGwESgQuBBwEFQQWBBkEGAQKA+0DwQONA1cDJgL9AtwCwQKnAo8CfAJuAmkCaAJqAmcCXAJKAjMCHAIGAfQB5AHSAbwBogGEAWEBPAEWAO4AxgChAIAAZwBUAEcAOwAvACAAD//9/+n/0/+4/5b/bf8+/wv+2P6m/nP+PP3//bv9b/0g/NH8iPxI/BP77fvW+8/72Pvw/BP8Pvxp/Iz8n/yb/H38SPwE+7v7d/s++xD65/q9+o36U/oU+dT5mvlo+T75Gfjz+Mv4n/hu+Dv4CffZ96z3g/de9z/3JPcN9vb23Pa99pf2bfZD9h72AvXw9eT12vXN9bn1n/WC9WX1SfUs9Qz05vS69In0V/Qo8/7z2fO385fzdfNS8yzzBPLc8rTykPJy8l3yUPJH8j7yMPIb8gDx4vHG8a/xnfGR8YnxhPGC8YPxh/GN8ZXxnPGh8aLxn/GX8YvxfvFx8WfxYPFa8VTxTPFE8TzxNvEy8S/xKvEg8RDw/PDm8NHww/C+8Mrw6/Ej8W/xwfIK8jnyRPIt8f/xyvGc8XnxX/FK8TPxHfEK8QDxAvEK8RXxHPEf8SLxKfE38UzxZPF68YrxlfGd8aPxqfGu8bLxtPG18bfxufG68bfxrvGd8YTxZPE78Qvw2PCl8HnwWvBL8E3wXPBx8IrwpPC+8Nzw/vEm8VXxivHD8fvyLfJT8mvyd/J/8ovyo/LG8u/zE/Mr8zjzQ/NU83DzlPOv87PzlfNd8x3y8fLt8xnzavPL9Cj0d/S79P71TfWr9hH2dfbL9w73Qvdu95j3w/fu+Bf4PPhf+IX4sPjh+RP5Q/lv+Zf5wfnv+iL6W/qX+tD7Bvs3+2X7kvu9++n8E/w8/GL8hvyq/M/8+f0p/V39kv3F/fT+If5Q/oX+wP8A/0H/ff+1/+wAJgBlAKcA5gEfAU4BdwGcAcIB5gIEAhgCIwIrAjkCVQKCArkC8wMoA1cDhQO4A/MENQR3BLIE5AUNBS4FSwViBXMFfAV/BYMFjAWcBbMFygXdBekF7wXzBfgF/wYIBhAGFgYdBiYGMwZFBlcGZwZzBnoGfwaDBoYGiAaHBoAGdAZkBlMGRQY+BkEGTQZhBncGigaTBpAGfwZlBkcGKwYWBgsGCgYRBh8GMQZFBlkGbwaGBqEGvwbfBv4HGQcuBz0HRwdOB1YHXwdpB3MHfgeJB5UHoQesB7UHvAfBB8YHywfNB80HygfHB8wH3Qf6CB0IPAhLCEgIPQg5CE0IgQjSCTAJiAnGCeQJ4gnJCaQJfAlYCTkJHQj/CNgIowhfCA8HuQdhBwEGiQXfBPMDxgJ3ATgARP/G/8QAHgCYAPMBCADSAHAAF//1ACcAqAFfAiQC0QNPA5MDowOLA1kDGwLbAp8CbQJFAiYCCgHrAcEBigFKAQkA0gCsAJgAkgCOAIEAaQBHACYAEAAHAAoAEwAeACoAQgBuALQBDgFsAbsB6AHuAdUBrwGQAYoBowHVAg8CPAJGAh4BwQE/ALEAOf/w/+IACABLAJAAxQDkAPIA/QEPASsBSgFkAXUBgAGIAZcBrQHHAeAB8wIBAg4CHwI3AlQCcgKLAp0CqAKyAsEC2QL+Ay4DZQObA8kD6wP/BAoEEwQiBDwEYASMBLsE5wUPBTQFWAV7BZ8FwwXqBhUGRgZ8BrYG7gcfB0QHWgdgB1MHNAcCBsAGdQYpBeUFsQWRBYIFggWIBZEFlwWVBYkFbwVJBRkE5QSyBIMEVwQtBAID1QOqA4IDYANHAzQDKgMpAzMDSgNwA6QD4AQcBFIEegSVBKIEpgSkBKAEngShBKkEtgTFBNME2wTXBMYEpgR7BEkEFAPgA60DfgNSAycC/wLaArcCmQJ+AmYCUAI4Ah8CAgHiAcIBogGEAWcBSwEvARMA+ADdAMQAqwCPAHEAUAAuAA7/8v/a/8X/sP+X/3v/Xf9A/yj/Ev7+/uj+zv6w/pH+df5c/kT+J/39/cT9f/04/QD85/z2/Sv9dv3B/fn+D/4D/eH9tv2R/XT9Xv1H/Sv9Cfzq/NT8y/zK/Mr8wfys/I/8c/xj/GX8dPyI/JX8kvyA/GT8RPwn/A379PvZ+777pvuW+5D7kPuR+4r7ePtb+zv7H/sM+wH6+/rz+ub61Pq/+qn6k/p6+lr6NPoM+ef5y/m7+bX5svmu+ab5mvmN+X/5cfli+U/5OPkd+P742/i1+I34Yvg4+BD37PfL96r3hvdf9zT3DPbo9sz2uPap9pv2jvZ+9m72XfZM9j32LfYe9gz1+PXg9cb1rPWV9Yb1f/V/9X/1fPVz9WT1VfVK9UP1PvU19SL1A/TZ9Kv0gPRc9ED0KfQU8/7z5/PQ87nzo/OQ83/zb/Ng81DzPfMn8wry5vK+8pLyZfI28gfx2fGv8YvxbvFX8ULxLPER8PTw1fC68KPwkfCA8G/wXfBL8DnwKPAW8AHv5u/F76Hvfu9d7z/vI+8H7uvuz+617p7uie517mPuUu5C7jXuKu4e7hLuBO327ezt6O3q7fLt/u4L7hnuKu4+7lPuae587ovul+6g7qjur+607rXus+6u7qnup+6o7q3utO6+7s3u4u797x/vRO9p74zvr+/U7/3wKfBY8Ifws/Df8Q3xP/F28bDx6/Il8l7ymPLU8xDzSfN686Lzw/Pi9Af0NfRt9Kz07PUp9WL1mfXO9gL2MvZe9of2rvbX9wX3Nvdo95X3vPfg+Ab4Mvhn+KD42fkM+TT5Uvlq+YD5lfms+cL52Pnu+gT6G/o1+lL6dPqe+tH7EPtZ+6j7+vxL/Jj84/0v/X39z/4k/nr+0P8n/4D/3QA/AKkBHAGXAhoCoQMoA6kEIQSPBPMFTQWbBdwGCQYiBigGJwYvBk0GigbjB0wHtwgYCGsIsgj1CTwJigndCi8KewrACwALPguBC8kMFgxmDLYNBQ1RDZgN3Q4eDlwOlw7ODwIPMw9jD5QPyhAFEEIQgRC9EPQRKBFaEYwRwRH4Ei4SYhKWEsoTAhM+E34TvhP9FDgUbxShFNEU/xUtFVwVkBXJFggWShaKFsMW8xcZFzYXTBdaF2EXYRdbF1YXVBdbF2kXeReIF48XjheJF4IXfhd8F3sXexd+F4UXkhejF7cXxxfSF9YX1hfVF9MX0BfLF8YXxBfIF9QX5Rf3GAMYAxf6F+oX2hfMF74XrheaF4cXehd8F4sXoxe5F8EXuhenF5UXjxebF7YX1xfzGAYYDhgPGAoYABfrF8cXlhdfFywXChb7Fv4XBxcLFwMW7BbJFp8WdhZRFjEWGBYGFfsV9xX5Ff0WABYDFggWEhYmFkcWcRaeFsQW3hblFtwWxxavFpsWjxaMFo4WkhaTFo4WgRZtFlMWNRYVFfUV1xW9FaYVjhV0FVQVLxUJFOYUyxS5FKsUmhR8FEwUCxO+E24TIxLiEqoSdxJDEgIRyRGQEVwRLhEFEOAQuxCVEHIQVBBAEDYQNRA3EDYQMBAiEA4P9Q/aD78Ppw+TD4MPeA9vD2gPXw9WD08PSw9OD1YPYQ9sD3UPeQ95D3UPbw9mD1kPSg84DyYPEg79DuUOyA6oDoUOYQ4+DhsN+A3WDbUNmQ2CDXANXw1LDS8NCQzcDKwMfwxXDDMMEgvvC8sLpwuFC2oLVgtKC0MLOwswCx8LCgrzCt8K0ArHCsIKvQq1CqoKmwqMCn4KcApiClIKQgoyCiUKGQoLCfgJ3Am4CZIJcQlZCUkJOgkjCP4IzAiTCF0IMAgPB/YH3wfEB6QHgQdfB0EHJQcJBuwGzgayBpoGigaABnkGcAZkBlMGQQYxBiUGHQYXBg8GAQXsBdAFsAWOBWsFSAUkBQAE2wS4BJUEdQRVBDUEFAP3A+AD1APUA9sD4gPfA8wDqAN4A0QDFgLxAtcCwwKzAqQClwKNAoUCfwJ3AmoCVwI+AiQCCgH0AeABzQG4AaEBhgFqAUsBKgEFANwAsQCIAGQASQA4AC4AKAAfABH//v/m/8v/r/+R/27/RP8T/tz+o/5r/jX9//3G/Yf9QPzz/KX8Xfwf+/D70vvE+8X70vvq/Ar8MPxU/G/8efxr/EX8CvvE+3/7QfsO+uL6tfqC+kb6BPnD+Yn5W/k2+Rf49vjP+KD4bfg3+AL30Peh93b3Tvcp9wr28PbY9sD2pPaC9lj2KvX+9dn1wfW29bP1s/Wt9Z71hPVk9UP1JfUI9Ov0yfSh9HP0Q/QU8+rzxPOh833zWfM18xLy8PLP8q7yjPJr8k3yNPIh8hHyAPHq8c7xrvGP8XbxY/FX8VDxS/FI8UXxQ/FC8UPxQ/FD8UHxPfE38THxK/El8SDxG/ET8Qnw/PDv8OPw3fDe8OPw6/Dv8O3w4vDP8Lfwn/CM8IjwmfDE8QfxWvGt8fDyFvIc8gnx5/HB8ZvxdfFN8SLw+PDX8MTwwfDL8Nrw6PDx8Pfw/vEJ8RnxLPE+8U/xXvFt8X/xk/Gp8b/x0vHh8ezx8fHw8efx2PHC8afxh/Fi8TXxA/DP8J7wePBf8FjwX/Bx8InwovC68NHw6/EK8THxYfGY8dLyCvI68mDyfPKT8qjyvfLR8uPy8PL88w3zKfNQ833zpPO386zzhvNP8x3zAPMD8yXzXvOk8/D0QvSd9Qb1efXt9lb2q/bo9xP3Nvda94L3rPfU9/j4Gvg++Gn4m/jQ+QP5MPlY+YD5rfnh+h36XPqY+tD7Avsx+1/7jvu8++r8F/xC/G38lvy+/OT9C/00/WD9kP3C/fP+Iv5S/ob+vf75/zf/df+w/+0ALQBzALwBAgFAAXMBnAHBAeQCBwImAj0CSgJTAmACeAKgAtIDCAM8A2oDlgPFA/kEMgRrBJ8EzATxBREFLQVEBVcFZAVxBYIFmwW9BeQGCAYjBjIGOAY5BjoGPQZABkMGRAZGBksGVgZmBngGiQaXBqIGqwa0BrwGwwbEBr0GrgaWBnkGXQZHBj4GRAZZBngGlgarBq4GngZ/BlgGMgYWBgUGAAYGBhMGIwY1BkgGXAZ0BpAGsQbTBvMHDAceBygHLwc2Bz8HSgdWB2IHbQd3B4MHkAeeB6kHsge6B8EHyQfQB9UH1wfZB+AH8wgRCDYIVwhqCG0IZghjCHUIowjqCTwJiAnBCd8J5QnVCbcJjwliCTUJDAjmCL8Iigg+B9MHSgarBfwFPgRsA4ACfAF0AI3/7/+3/+cAYgD4AXQBsgGnAWIBBACuAHYAaQCEAL4BDAFhAbMB+QItAkwCWQJXAkwCOgIjAggB6AHFAZ8BdwFOASUA/wDeAMMArwCfAJAAfwBxAGgAawB9AJkAugDWAOwA+wEIARoBLgFCAU4BTAE7AR8BAgDsAOkA/wEwAXoB0AIcAkYCOAHpAWYA0ABN//7/8QAbAGIAqADZAPIA/wEMASIBQAFeAXQBgQGGAY0BmgGtAcMB2AHpAfkCCwIkAkECYQJ+ApcCqgK7AtAC7AMRAz4DbwOeA8UD4gP2BAUEFgQtBEwEcASVBLkE3AUDBTMFbgWwBfUGNQZtBpwGxQbqBwsHJwc4BzsHLwcTBucGqgZbBfsFkQUnBMkEfwRPBDcEMQQ2BD8ESARMBEgEOwQkBAUD5APDA6YDjQN1A14DRgMwAyADGQMeAywDQQNbA3oDngPFA/AEGwRABF4EcQR7BH4EfQR5BHYEcwRyBHMEeQSCBI0ElgSZBJUEhgRvBE4EKAP8A8wDmgNlAzIDAALSAqgCggJgAkICJwIQAfkB4QHIAawBjgFtAUsBKAEFAOIAwQCjAIkAcQBXADkAFv/w/8z/rP+T/4D/bv9Z/z//IP8A/uX+0P7A/rH+nv6F/mf+Sf4t/hf+Af3m/b79hP09/PX8vfym/Lj87v05/YL9s/3C/a/9hP1S/SX9Avzq/Nf8x/y5/K38pPya/Iz8d/xc/EH8L/wt/D38Wfx0/IP8fvxl/EH8Gvv4+937xvuv+5j7g/tz+2z7bPtu+2r7WvtB+yL7BPrt+t760/rJ+r76tPqt+qv6qfqj+pP6d/pT+i36DPn2+ej53/nW+cr5u/mq+Zf5gvlp+Uv5K/kK+Or4zfiv+I/4a/hD+Br38/fP96z3ifdl9z/3Gvb69uD2zfbA9rT2qPaZ9on2d/Zk9lP2Q/Y29in2GvYH9e/11fW+9a71qvWu9bb1ufW19aj1mfWN9YX1f/Vz9Vv1NfUD9M70nvR39Fv0RfQz9CD0DvP88+rz2vPJ87rzqvOd85Dzf/No80bzGPLh8qfycPI+8hTx8fHS8bjxofGN8XnxY/FJ8SrxC/Dt8NTwv/Cs8JvwivB48GbwVPBB8CvwEO/y79HvsO+S73XvWu8+7yHvBO7n7svuse6Z7oLube5b7kvuPe4u7h/uEO4E7f7t/e4D7gvuFO4c7iXuMu5E7lrucO6D7pHumO6d7qLuqO6s7q/uru6r7qnuqe6u7rfuw+7R7uHu9+8S7zPvVu9475fvs+/Q7/DwFvA/8GvwmPDF8PTxKPFh8Z3x2vIW8lHyjvLL8wnzRPN386Hzw/Pk9Ar0N/Rt9Kb03/UW9Uv1gfW49fL2KfZa9ob2rvbX9wX3OPdq95f3u/fW9+/4C/gw+F74kfjD+O75Efks+UL5U/ll+Xj5kPms+c357/oQ+i76S/pt+pv62fsn+4D73Pwz/IP8zv0c/XD9zP4s/o3+6P89/4//4QA6AJ0BCQF+AfoCeQL5A3UD6gRWBLgFEAVeBaEF1AX2BgkGEwYiBkIGewbOBzMHnggACFUInQjdCR8JZgm0CgUKVAqfCuYLKQtsC68L9Qw9DIcM0w0fDWsNtA35DjoOdw6xDucPGg9ND4EPuA/yEDAQbhCoEN4RDxE9EWsRnRHSEgkSQRJ5ErES6xMnE2UTpBPhFBwUVBSJFLwU7RUcFUsVfRW1FfIWNBZ1FrAW4hcIFyYXOxdKF1IXUxdRF08XURdcF20XfheKF40Xhxd8F3IXbBdsF24Xcxd6F4UXlReoF7oXxxfNF8wXyRfHF8kXzBfOF84XzBfMF9IX3hfqF/MX9BfsF+EX1RfMF8MXtxelF5EXfxd5F38XjxegF6kXphecF5QXlxeqF8YX4xf2F/sX9RfqF+AX1xfKF7MXjxdiFzYXFRcHFwgXEBcUFwoW7xbIFpwWdRZXFkUWPRY8Fj4WQRZDFkUWSRZRFmAWdxaWFrgW2BbxFv4W/RbxFt4Wyha5FqwWpBaeFpcWjhaBFnMWZBZWFkYWMxYdFgMV6BXMFbIVlhV3FVMVKRT+FNgUvBSrFKEUkxR5FEwUCxO8E2oTHRLaEqASbRI5EeYRshGCEVcRNBEUEPYQ1BCtEIQQXxBCEDAQKhAqECsQKRAfEA8P+g/hD8cPrg+ZD4oPgA97D3cPcg9pD14PVQ9PD1EPVw9hD2kPbg9wD3APbw9sD2gPYg9ZD00PPw8rDxMO9Q7RDqsOgw5eDjsOGg35DdoNvQ2mDZINgQ1tDVINLAz8DMcMkAxdDC8MBgvhC78LnguCC24LYwtjC2gLbgtwC2kLWQtFCzILIwsaCxQLDAr/CuwK1grACqwKmwqKCngKYwpOCjwKLQofCg4J9QnWCbIJkQl3CWEJTAkuCQUI0AiWCGAINQgVB/wH5AfHB6YHgwdhB0MHJgcJBuoGygatBpYGiQaDBn8GegZuBl0GSwY8BjMGLwYrBiAGCwXpBbwFiwVbBS4FBQTfBLkElARwBFAENAQaBAAD5APHA68DnwOaA58DpgOmA5gDewNRAyQC/ALeAsoCvwK5ArMCrgKnAp4CkAJ8AmECQwIkAggB8AHcAckBtAGcAYEBZAFIASsBDQDrAMUAnAB0AFEAOAApACEAGwASAAL/6//O/67/jf9q/0L/Ev7a/pz+W/4e/ej9tv2E/U39DvzH/H38OfwB+9z7yPvF+8v72fvr/AH8Gvwz/Ef8TfxA/Bv74vue+1n7Gvrj+rD6efo7+ff5sflz+UH5HvkE+Or4yfie+Gj4L/f298H3kvdn90D3G/b79t72xvaw9pn2ffZb9jP2CPXf9b31p/Wb9Zf1k/WI9XP1VfUy9RH09fTf9Mn0r/SN9GP0NvQK8+Pzv/Oc83fzT/Mo8wPy4vLE8qXyg/Jd8jXyEfHz8dzxyPGz8ZrxfvFg8UfxNPEo8R/xF/EO8QTw+vDx8Orw5fDi8N/w3fDc8Nzw3fDd8Nvw1/DO8MHwsfCg8JLwifCI8I/wmvCk8KrwqPCf8I/wffBu8GjwcfCO8MHxBfFR8ZjxzvHt8fTx5vHJ8aDxbvE18PrwxfCd8IjwhvCS8KPws/C98MLwx/DQ8N7w8PED8RXxJvE38UrxYPF88ZzxvvHf8fryDPIS8gzx/PHk8cfxqPGG8WDxNvEJ8NvwsvCR8H3wdvB88IzwofC48M7w4vD58RTxOfFn8Z/x2/IX8k/yf/Kj8rvyxfLE8r3yu/LF8uPzEvNI83jzk/OS83nzVPMy8yLzKPND82zznPPV9Bj0bfTV9Uz1xPYx9oX2v/bk9wD3HvdF93L3oPfJ9+z4Dfgy+GD4lfjL+P35KPlP+Xj5qvnm+in6avqk+tb7Avst+1r7i/u++/D8IfxR/H78p/zM/Ov9B/0k/Uf9cP2h/dX+Cf48/m/+pP7e/xr/Wf+Y/9kAHABkAK0A8wEwAWMBjAGyAdoCBgI0Al8CgAKbArMCzwL0AyADUQOAA6sD1AP+BCwEXQSOBLsE4QUCBR4FOAVQBWcFfgWYBbkF4gYRBj8GYwZ5Bn4GdwZrBmEGXQZeBmMGaQZwBnkGhQaSBqAGrAa4BsMG0AbeBusG9gb5BvMG4AbCBp0GdQZTBkAGQQZYBn4GpwbGBtIGxAahBnMGRAYdBgUF+wX/BgsGHAYvBkMGWAZwBooGpgbCBtoG7Qb5BwEHCgcXBycHOgdKB1YHXwdmB3AHfgeNB5wHpwewB7kHwwfNB9cH3gfkB+4IAQghCEgIbwiKCJYIlwiYCKcIygkACUEJfgmtCcoJ1AnNCbYJkglmCTYJCAjdCK0IaQf+B2IGlQWlBKUDpQKxAc8BBABc/+r/v//jAE0A4AF4AfICPAJQAjkCAQG0AVoA+QCcAE8AHwARACUAUwCPANIBFAFTAYsBtwHRAdYByQGxAZYBfwFrAVYBPgEhAQQA6gDXAMwAxgDEAMQAygDZAPIBEAEsAT4BRAE/ATIBIQENAPkA5QDSAMMAtgCrAKMAoQCvANoBJwGOAfcCOwI7Ae0BYAC/ADr/9P/4ADEAfwDCAOwA/gEHARQBLAFJAWQBdwGCAYwBmQGrAb8B0QHgAewB+wIPAioCSgJqAoYCngK1As0C7AMTA0ADbwObA8AD3APxBAYEHwRABGkElQTBBOsFGAVOBZEF4AYzBn8GuQbcBuwG7wbtBuYG2Aa9BpIGVgYLBbQFUwTpBHkEBwObA0EC/wLYAsoCzQLaAuoC+QMGAxADFQMWAxUDFQMXAx4DKAMyAzoDPwNEA00DXQN2A5UDtwPXA/MECwQeBC4EOwRDBEcERwRGBEQEQgQ/BDsENAQqBCEEGQQXBBkEHgQkBCgEJwQhBBMD/gPgA7kDigNWAyEC7wLDApsCdgJRAi4CDQHuAdQBvAGlAY0BcQFSAS8BCQDiALoAkwBuAE0ALgAR//L/0P+s/4j/af9Q/zz/Kv8V/vv+3f6//qX+kP6A/nP+Yv5M/jH+Ev31/dz9yP20/Zr9cP00/Ov8ovxs/Fn8c/yy/QT9T/19/YP9Yv0q/Oz8ufya/Iz8i/yO/I38hPxx/FT8MvwR+/n78fv9/Bj8O/xY/Gb8X/xG/CL7+/vZ+777p/uR+3r7ZPtS+0n7R/tI+0b7O/sm+wz68PrZ+sf6ufqs+qH6mfqX+pz6pPqq+qf6mfqC+mX6Svo0+iL6Efn9+ef5z/m4+aD5hvlq+Un5J/kG+On40Pi3+Jv4efhQ+CT3+ffS9633ivdo90b3J/cM9vj26fbe9tT2yva+9rD2n/aN9nz2bfZi9lv2VPZI9jT2G/YA9ev14vXj9ev18fXv9eX11vXI9b71s/Wi9YT1WPUj9Oz0vfSZ9ID0bfRc9Ev0O/Qu9CP0GvQR9Abz+fPr89vzx/Op837zRvMG8sTyifJY8jPyFfH88eTxzvG58aXxkfF78WHxRfEp8Q/w9/Di8M7wu/Cn8JTwgPBr8FTwOfAc7/3v4O/E76rvkO9171jvOe8b7v3u4e7G7qvuk+587mfuVO5B7i/uHu4R7gvuC+4Q7hfuH+4m7i7uO+5N7mLudu6G7o/uku6S7pPul+6c7qHupO6m7qjuru647sPuz+7b7uju+O8P7y3vUO9y75Pvr+/J7+XwBfAr8Fbwg/Cz8ObxG/FS8YvxxvH/8jnydPKy8u/zK/Nf84zzs/PY9AH0L/Rk9Jr00PUE9Tf1bPWk9d/2GPZM9nn2o/bO9vz3L/dh94z3rPfE99b37PgJ+C74WfiE+Kv4zPjm+Pv5Dfkg+Tj5V/l/+a753/oK+i36R/pg+oH6s/r6+1D7r/wP/G38yv0s/Zb+Bf50/tz/N/+G/9EAHABvAMoBKwGPAfYCYQLQA0MDuAQnBIwE5QUwBXEFpwXVBfsGHAY+BmcGngbmBzsHlgfvCD4IggjACPwJPAmDCdEKIgpzCsMLDwtVC5cL1wwWDFgMoAzsDTsNiA3QDhIOTw6IDsAO9w8uD2UPng/YEBQQUBCLEMEQ8xEiEVERgxG5EfISLRJoEqIS2xMUE04TiBPBE/sUNBRuFKYU3BUPFT8VbxWkFd4WHhZgFp0W0hb7FxoXMRdAF0kXTBdLF0oXThdZF2kXeReDF4QXfhd0F20XbRdyF3oXgheIF5AXmhemF7IXuhe8F7kXtRe0F7kXwRfJF84XzhfOF9EX1xffF+UX5RfgF9cXzhfHF8AXtRejF4wXdxdqF2sXeBeJF5YXnBebF5oXoRexF8YX2BffF9cXxxe4F7EXtBe7F74XsxeaF3cXUxc2FyMXFhcKFvkW4RbEFqkWmBaSFpoWqha9Fs0W1hbaFtsW3RblFvMXBxcbFyoXMBcrFxwXCBbzFuEW0xbJFsAWtRakFpAWeBZhFk4WQRY5FjEWJRYTFfoV3xXEFawVlhV9FV4VNxUKFN4UuRSfFI0UexRhFDcT+xOxE2ATERLKEooSURIbEdQRqBGBEV8RQxEpEQ4Q7hDIEJ8QdxBXEEMQOBA1EDQQMBAnEBoQCg/3D+IPzA+3D6UPmQ+UD5QPlA+QD4gPfA9xD2oPaA9qD24Pcg92D3gPeg96D3kPdg9yD20PZw9eD1APOA8WDuwOvQ6PDmMOPA4XDfUN1g26DaMNkA19DWcNSQ0hDO8Mtgx7DEEMCgvZC60LiAtsC1wLWQtjC3cLjgugC6kLpQuYC4ULcwtkC1ULRQswCxUK+grgCswKuwqqCpYKfQpjCksKOQosCh8KDgn0CdQJsAmMCWsJSQkkCPkIyAiWCGkIRAgmCAsH7wfPB6sHhwdkB0UHJgcHBuYGxgaqBpcGjQaJBocGgAZzBmEGUAZCBjsGOAYyBiMGBQXYBaAFZQUvBQAE2AS0BJEEbARHBCYECwPzA94DxwOuA5YDhAN6A3kDegN2A2gDTAMoAwEC3gLEArICqAKjAqACngKZAo8CfQJhAj8CGgH5Ad8BzAG8AasBlQF6AVoBOQEbAP4A4gDEAKMAgABdAD8AJgAVAAoAAP/z/+H/yf+t/47/bv9L/yH+7v6w/m3+Kf3q/bT9hf1X/ST85/yi/Fv8Gvvp+8z7wvvF+8772Pvi++z7+vwL/Bv8IvwY+/j7wvt++zX67/qw+nX6OPn2+bH5bfk0+Qn46vjR+LX4j/hd+CL35vet93z3Uvct9wz27vbU9r32qvaX9oL2aPZK9ib2AfXe9cD1qPWX9Yr1e/Vn9Uz1K/UK9O702fTJ9Ln0ovSC9Fn0LfQC89zzvPOc83nzUPMk8vry0/Kx8o/yavJA8hPx6vHH8a7xm/GI8XPxWfFA8SnxGfEO8QTw+fDq8NjwxvC38K3wpvCi8KDwofCl8Krwr/Cy8LHwrPCj8JXwg/Bx8F/wUvBL8EzwUfBZ8GDwY/Bj8GDwXvBf8GTwcfCJ8K3w3fEV8VDxhfGs8cDxvPGj8XXxOvD38LfwgfBf8FDwU/Bg8G7wd/B58HjwevCD8JXwr/DM8OnxA/EX8SnxPfFW8Xfxn/HK8fHyD/Ie8h/yE/H/8efxzfG08Zjxe/Fb8TfxEvDt8M3wtfCp8KrwtfDH8Nrw7PD98RDxK/FR8YPxvvH98jvycfKZ8q3yrvKj8pbylfKr8tjzEfNG82PzYfND8xvy/vL68xTzRvOD87/z9/Qx9HX0yfUr9ZP19fZG9oD2qfbK9u33F/dK93/3sPfY9/n4GvhA+G/4o/jX+Qb5L/lV+YD5tvn1+jj6ePqu+tr7Afso+1X7ifvB+/n8MPxk/JL8ufzY/O38/f0O/Sf9TP19/bb97/4m/lv+kP7H/wP/Qf+B/8IABQBMAJUA2gEYAUoBdAGbAccB/AI3AnMCqALUAvgDGwNBA2sDmQPGA/IEGwRFBHIEoATNBPYFGgU4BVMFbQWIBaYFxgXsBhgGSQZ6BqQGvwbGBrkGnwaCBmoGXwZgBmsGfAaPBqIGsQa9BscGzwbYBuMG8AcABw8HGQccBxUHBAbpBsYGngZ7BmMGXgZvBpAGuAbYBuQG2Aa1BoQGUQYkBgUF9wX2BgIGFAYqBkEGWAZvBoUGmwawBsAGzQbWBt8G7Ab/BxcHLwdCB00HUwdYB2EHcAeCB5QHoQerB7QHvgfLB9kH5QfvB/sIDggsCFUIfwiiCLcIvwjDCM4I6AkQCUAJbwmTCakJsQmrCZkJewlVCSoI/AjICIAIFQd1BpoFjARfAzACFQEhAF7/0/+I/4P/yABKAO8BlwIiAn8CrwK8ArYCogJ8AjsB2AFYAMwASf/g/5v/ef94/5T/ywAcAHwA4QE5AXkBnwGxAbgBuQG2AakBjwFrAUQBJAERAQkBBgD/APIA5ADbAN8A7QEBARMBHgEgARwBFAEKAP0A7gDgANgA1ADRAMYAsgCdAJoAvwETAYgB+wI8AioBwgEjAIIAE//vABIAXACoANwA9AD5AP4BCwEkAUEBXAFxAYUBmQGvAcQB1QHfAeYB7wH/AhkCOgJcAnwClwKvAskC6AMPAz0DbQOcA8QD5QQDBCIESQR7BLYE+AU5BXkFuAX7BkEGhga9BtoG1QavBnUGNAX5BcYFlgVfBRgEwQRcA/ADggMVAqwCTAH6Ab4BnQGWAaYBxAHoAg0CLwJQAm4CigKkAr4C2gL6Ax4DRANpA4kDowO6A88D5wQABBsEMgREBE8EUwRTBE8ESAQ/BDUELAQjBBsEEwQLA/8D8QPfA80DvwO0A7ADrgOvA68DrQOqA6UDnAOLA3EDTAMgAvMCyAKjAoMCYwJCAh4B9wHSAbIBlgF9AWUBSgErAQkA5AC9AJUAawBBABn/8//Q/67/jf9r/0v/LP8Q/vf+3/7H/q3+lP57/mT+Uf4//iz+Gf4D/er9z/20/Zv9h/11/WP9SP0d/N78k/xJ/Bf8Dfwz/H782P0k/Uv9Rf0X/NX8lPxk/Ev8SPxP/FT8UPw9/B379/vU+777ufvH++T8Bfwh/C/8Lfwc/AL75PvJ+7D7mfuB+2n7UvtA+zP7Lvsr+yf7HfsM+vj65PrT+sf6vPqx+qX6mvqS+pD6lPqZ+pv6mfqR+of6e/pu+lz6Q/oj+f752fm4+Zz5hPls+VP5OPkf+Qb47vjT+LH4iPhZ+Cn3/PfT9673jPdr90z3Mvcf9xH3B/cA9vj28Pbn9t320fbD9rX2qfah9p/2nvaY9or2cvZU9jj2JfYd9h72IPYc9hH2AfXy9eX12PXG9aj1fvVM9Rz08/TV9L/0rPSY9IH0bPRd9FT0UfRP9En0PfQs9Bbz+vPV86XzavMp8ujyrvKA8lzyQPIn8g7x9fHf8czxuvGp8ZXxf/Fm8U3xNfEe8Qjw8fDc8MbwsfCa8IHwY/BE8CTwBu/r79PvvO+j74jva+9O7zLvFu777t/uw+6o7o7udu5f7knuNu4l7hvuFu4X7hvuIe4o7jHuPu5P7mLuc+5/7oXuhu6G7ojujO6S7pnunu6j7qnuse687sju0u7a7uLu7O797xjvOu9h74jvq+/J7+bwBfAo8FHwf/Cx8OTxGfFO8YPxufHv8ifyYPKc8tfzEvNH83fzo/PN8/r0K/Rh9Jn0z/UD9Tb1avWf9dX2CfY69mf2kva+9uz3GvdF92n3hved97T30ff1+B74SPht+Iz4pfi5+Mv43vj1+RH5Nvlk+Zr50voF+i36S/pk+oH6rPrq+zz7m/wE/HL86P1k/eX+Zf7c/0H/lf/eACQAcADEARwBcQHAAgoCVwKwAxgDjAQCBG4EygUUBVIFigXBBfoGMgZqBqAG2AcVB1cHngfmCCsIagimCN8JHAldCaUJ8wpGCpsK7gs7C4ALvwv6DDcMegzEDRENXg2kDeUOIA5ZDpMOzg8LD0cPgw++D/oQNxB0EK8Q5hEbEU8RhBG7EfQSLRJmEp4S1RMLE0ETeBOvE+YUHhRYFJMUzBUBFTQVZRWZFdQWFBZXFpYWzBb2FxYXLRc8F0UXSRdIF0YXSBdPF1wXaxd2F3oXehd4F3oXghePF5sXoxemF6UXphepF68Xsxe1F7MXsBexF7cXwRfMF9UX2RfcF98X5BfqF+4X7RfnF90X0hfHF7wXrReZF4MXbhdjF2YXdheMF6EXrBeuF6sXqResF7MXuRe4F64XoBeVF5cXphe+F9UX3xfVF7gXjRdfFzUXExb6FugW3BbWFtgW4xb5FxYXNhdTF2kXdBd2F3QXchd0F3kXfRd8F3EXWhc8FxoW/BbkFtQWyBa+FrIWoRaMFnMWWhZEFjMWKRYkFh0WEhX+FeQVxxWtFZoVjRV/FWwVTRUkFPUUxhSfFH8UZRRIFCET7ROrE2ATEBLDEn0SPhIGEeERuxGZEXsRYBFFESoRDBDqEMQQoBCAEGkQWxBSEEwQRBA7EDAQJhAbEA4P/Q/oD9IPwQ+4D7UPtw+4D7UPqw+eD5IPiQ+GD4cPiw+RD5cPmw+cD5kPkw+ND4oPig+MD4oPfg9jDzkPBg7ODpkOaQ4+DhcN8g3ODa4NlA1+DWsNVg07DRcM5wytDG0MKgvqC7ELgwtiC1ILUwtjC4ALogvBC9YL2wvTC8ALqAuPC3YLXQtCCyULCwr1CuUK2ArKCrUKmgp8CmAKSgo7CjAKIgoMCesJwgmUCWYJOQkOCOMIugiSCG4ITQgvCBEH8QfOB6oHhgdlB0QHJAcDBuMGxgavBqEGmgaVBpAGhgZ3BmYGVwZMBkYGQAY1Bh4F+AXEBYcFSgUUBOgEwwSjBIIEXgQ6BBgD/APlA9EDvAOmA48DewNtA2UDXwNWA0UDLAMOAu4C0AK2AqACjQJ9AnICagJkAlsCSgIxAhAB7gHQAbkBqQGbAYsBdAFWATQBEADvANAAtACYAHsAXgBAACQAC//1/+L/0f+//6z/mP+C/2v/Uv80/w3+3P6g/l/+Hv3h/az9fP1L/RP80fyI/ED8AfvU+7v7tPu4+7/7xPvH+8v70vvf++v78Pvk+8L7ivtD+vb6rvpt+jL5+Pm8+X35QfkL+OD4vvif+Hv4TvgX99r3n/dq9z73Gfb79uD2yva39qf2mfaK9nb2XvZA9iH2APXh9cX1q/WT9X31aPVQ9Tf1HfUD9O302/TL9Lj0nvR69E30HfPv88nzqfOM82vzRPMY8unyvvKW8nDySvIg8fXxzfGs8ZTxgfFu8VnxQPEo8RXxCPEA8Pjw6/DZ8MLwrPCa8I3whPB/8H3wfvCC8InwkPCU8JTwj/CF8HjwafBY8EbwNvAq8CTwJPAo8C3wM/A58EDwS/Bb8G/whfCc8LPwzvDu8RPxOvFb8W7xbfFT8SPw4/Cg8GTwOPAh8BzwJPAw8DnwOvA28DHwMvA98FTwdfCb8MDw4PD58Q7xIfE68Vrxg/Gu8dfx9vII8g3yCfH/8fPx5/Hb8c7xwfGw8ZzxgvFg8TvxFvD48Obw4fDl8PDw/PEJ8RnxMfFS8XzxrfHi8hXyQvJl8nnyf/J98n7yjfKw8uLzFfM28zfzGfLq8sLytvLS8w/zXvOw8/n0O/R89MP1EvVk9bL19PYp9lb2f/as9uD3GPdR94f3tvfe+AP4KPhR+ID4sfji+Q75Nvle+Yn5vfn5+jn6dvqr+tf6/vsn+1f7jvvL/Ar8Rvx8/Kz80fzs/P39CP0V/Sz9UP2D/b/9/f44/nD+pf7b/xP/Tf+J/8gACQBQAJoA4wEjAVgBgwGqAdMCBAI9AngCsALgAwoDMANZA4UDtQPkBBIEPgRqBJgExwT1BR8FRAVlBYQFpAXGBesGEgY8BmkGmAbFBukG/Qb8BuYGwgaaBnkGaAZnBnYGjQanBr4GzwbbBuMG6gbzBv8HDQcbByYHLActBygHHgcNBvYG2ga+BqcGnAafBrEGyQbeBuUG2Qa6Bo0GWwYuBgsF9wXzBf0GEAYoBkAGWAZtBoEGlQanBrcGxAbPBtoG6Ab8BxMHKQc5B0IHRwdMB1gHageBB5YHpQevB7gHwwfSB+MH8wgACAwIHgg7CGEIjQi0CNAI3gjlCO4JAQkfCUQJaAmDCZIJkwmGCW4JTQkoCP8I0AiQCC8HmgbFBbIEcwMlAekA1//+/2b/E/8M/1P/4wCnAX0CPALFAwwDHgMUAwQC+wLvAtECkQIrAakBGwCQABP/qf9W/yD/E/8z/4D/6wBjANQBNgGDAb8B6QH/AfwB4gG4AY0BbAFbAVMBSQEyAQ0A4gC/AK4ArwC6AMgA0wDeAOwA/gEOARYBDwD+AOsA4QDfAN4A0wC7AKIAogDQAS8BpQIEAiAB5AFhAMUARgAKABgAWACiANoA9AD3APcA/wETAS4BSQFfAXEBhAGZAa0BvAHGAc4B2AHtAg0CNQJfAoUCpQK/AtoC+AMeA0wDfwOyA+QEEgQ+BG8EqATrBTgFhwXUBhkGVQaHBqsGuwaqBnAGDAWJBPsEdgQKA7kDfANEAwYCvQJsAhgByQGAAUABDADoANkA4QD/AS4BaAGlAeMCHgJXAosCuwLmAw0DMwNaA4QDrwPXA/sEGQQyBEYEWARnBHMEegR8BHkEcgRoBF0EUgREBDYEKAQYBAkD+APmA9IDvQOoA5QDgwN3A20DYwNXA0sDPQMyAyoDJAMcAw4C9wLWArICjgJuAlMCOQIcAfoB1QGvAY4BcQFXAT0BIAD/ANsAtgCQAGoAQgAY/+7/xv+f/3v/Wv85/xn++f7Z/rn+mf58/mD+Sf42/iT+Ev39/eT9yv2w/Zn9g/1t/Vf9Qf0v/SD9EPz2/Mr8ifw7+/L7xvvH+/j8S/yn/PD9Ev0G/Nb8lPxU/CP8CPwA/AP8Bfv9++n7y/uq+5D7g/uG+5b7rvvF+9b73/ve+9b7yPu3+6X7kft8+2j7VftG+zn7L/sl+xj7CPr2+uX62PrR+s76zfrH+rz6rfqd+pD6h/qD+oP6hfqI+o36kfqP+oP6afpD+hX56PnB+aP5jPl5+Wf5VflB+Sv5Efjv+MT4kfhc+Cv3//fb97n3mfd591z3Rfc29y/3Kvcm9x/3F/cP9wj3Afb59vD25/bj9uL24/bh9tb2wPah9oL2afZa9lP2TvZF9jX2I/YR9gP19/Xo9dH1sPWI9WL1QfUn9RL0+/Tg9MP0qPSU9Ir0h/SE9Hv0avRR9DL0DvPk87TzffNC8wjy1PKp8ofya/JS8jvyJvIS8gHx8PHf8cvxtvGe8YbxbvFW8T7xJfEN8Pbw4PDK8LDwkvBw8E7wLvAT7/zv5+/Q77fvnO+A72TvSe8u7xLu9e7X7rnune6D7mruU+4/7i/uJO4e7h7uIu4p7jTuQu5S7mHube527nvufu6A7oTuiu6S7pjunu6i7qburO607r7ux+7P7tbu3+7t7wTvJe9O73nvo+/J7+rwCvAt8FTwgvC08OjxHfFS8YfxvPHz8iryY/Kd8tbzDvND83XzpPPT9AL0NPRp9J701PUI9Tv1bfWf9dH2AfYw9l32iva19t/3Bfcl9z73Vvdw95P3wvf5+DH4ZPiL+KX4tvjE+NT46PkA+R75Qvlq+Zj5yfn5+iX6TPpx+pv6z/sT+2b7xvwy/Kj9J/2v/jj+uf8p/4T/zgARAFkArgELAWoBvQH/AjQCagKuAwkDdwPtBFoEtQT6BTIFaAWkBeoGNAZ+BsMHAQc6B3EHqAfiCBwIVgiRCM0JCglICYsJ0wogCnEKxQsWC2ELpQvkDCIMYgynDO8NNg15DbYN8A4qDmgOqQ7sDy4PbQ+rD+oQKRBpEKkQ5hEfEVURihG+EfMSJxJbEo8SwxL6EzETaROfE9QUCBQ9FHMUqhThFRYVSxWEFcIWBBZHFoUWuhbjFwIXGhctFzwXRhdJF0gXSBdMF1UXYhdtF3UXehd/F4YXkxeiF68XtRe0F68XqxeqF64Xsxe4F7oXvBe/F8UXzxfbF+UX7RfyF/cX/BgBGAMYARf5F+sX3BfLF7sXqReWF4MXcxdsF3IXhBecF7EXvBe7F7EXpBebF5gXmReaF5cXkhePF5QXpBe8F9MX4BfaF74XkhdeFysXBBbrFuIW6Rb8FxkXPBdjF4gXqRfAF8wXzRfIF8AXuxe5F7cXsRehF4UXXxc0FwwW6xbRFr4WrRacFosWeRZnFlYWRBYzFiQWGBYPFggV/BXqFdEVtRWbFYkVfxV5FXAVXRU8FRAU3hSuFIMUXhQ7FBYT6BOvE2oTHhLQEoYSRhIPEgIR3hG9EZ0RfxFkEUoRMREWEPcQ1RC1EJoQhRB3EGwQYRBXEE8QSBBEED0QMRAfEAkP8w/kD94P3w/hD+EP2g/PD8MPuQ+zD7MPuA/AD8gPzg/PD8kPvw+zD6wPqw+wD7UPrw+bD3UPQg8JDtEOng5xDkYOHA3xDccNoQ2BDWoNVw1GDTANDwzgDKQMYAwZC9gLowt+C2sLawt7C5cLuQvZC/AL+AvxC9wLvgueC30LXgtCCykLFQsGCvwK8wrnCtQKuQqaCnsKYgpPCkAKLgoVCfEJxAmRCVwJKQj7CNEIqgiHCGQIQggfB/sH2Qe5B50HgwdpB04HMQcSBvUG3QbMBsAGtwauBqMGlAaFBncGbAZkBlsGTwY5BhcF6gW0BXoFQgURBOgExgSmBIcEZARBBCAEAwPqA9QDvQOmA48DegNqA10DUQNEAzMDHgMHAvAC2ALAAqQChgJnAkwCOAIrAiACFAICAeoBzwG2AaEBjwGAAW0BVgE5ARcA9ADRAK8AjwBxAFUAOQAfAAP/6P/M/7H/mf+D/3D/X/9Q/z//LP8U/vP+yP6V/l3+I/3s/bj9hP1L/Qr8wPxy/Cf76fu9+6X7nPuc+5/7ovuj+6b7rfu3+737ufuj+3f7OPrt+qH6XPoh+e75vfmK+VT5Hfjp+Lz4lPht+EL4D/fX95z3Zfc19w/28PbY9sT2tvaq9qH2l/aJ9nX2W/Y89hz1/PXd9b71oPWE9Wr1VPVB9TH1IfUP9Pv05vTP9LT0k/Rq9Dr0B/PX863zi/Nt807zKvMA8tPyp/J+8lfyMPII8d/xuvGb8YLxbvFZ8UDxJvEN8Prw7/Do8OHw1fDD8K3wmPCI8HvwcfBo8F/wWvBa8F7wZPBp8GnwZfBf8FbwTPA/8C/wHvAN8AHv/O/+8ATwDfAY8CbwOvBT8G/wivCg8K7wufDE8NTw6fD+8QzxCfDy8MbwjvBV8CbwCO/+8ALwDfAY8B3wHfAb8BvwIfAw8EXwX/B88JbwrvDC8NTw5/EA8SDxRvFt8Y/xqPG48cLxyfHQ8djx3/Hj8eTx4/Hg8drxzvG48Znxc/FN8S7xGPEM8QjxCfEQ8R7xM/FO8W/xkfGz8dXx9vIW8jLyR/JX8mfyfPKb8r7y3PLn8tvyvvKi8pnysfLr8znzjPPY9Br0WfSc9OT1LfVw9aj11fX99in2XfaX9tL3Cvc992z3m/fM9/74L/he+In4s/jd+Qf5Mflc+Yn5u/ny+i76avqj+tb7Bvs2+2v7pvvm/Cf8ZPya/Mj87v0L/SL9N/1P/W/9m/3R/g/+T/6M/sX++/8u/2H/lf/KAAMAQQCGAM4BFgFWAYsBtQHXAfoCIQJPAn8CsALcAwYDMANcA4sDuwPqBBcEQQRsBJkEyAT3BSMFTQV0BZwFxgXyBh4GSAZvBpYGvQbjBwUHGwcgBxEG8QbJBqYGkAaLBpYGqgbABtMG4AbpBvIG+wcIBxYHIwcvBzcHOwc9BzwHOQcyByYHFgcCBu8G3wbYBtkG4AbnBucG3QbFBqEGdQZIBiEGCAX/BgUGFgYtBkQGWQZsBn8GlQasBsMG1wbmBvIG/QcLBxkHJwcxBzYHOgdCB1IHaAeCB5kHqwe2B8EHzgfhB/UICAgXCCQINQhPCHQIoAjJCOkI/AkGCQ8JHQkzCU8JbAmECZAJjAl2CU4JGwjjCK0IdggyB8sHKQY+BQ8DtgJXARsAG/9k/vf+0v71/2AADQDnAc4CmgMqA3UDhQN2A2ADUQNGAzIDBwLAAmAB8AF6AP4Afv/9/4X/Kf73/vn/Lv+I//gAcADkAUwBoAHXAe4B6QHWAcUBwgHMAdgB1gG7AYcBSgEUAPAA3QDRAMMAswCqALAAxwDmAPwA+QDeALoAoACbAKgAtwC4AKwApAC6AP4BYwHFAfkB4AF+APcAfwA/AEIAdgC4AOoBAQEEAQMBCgEdATUBSAFSAVYBWwFmAXUBhwGZAawBwwHlAhECRAJ4AqgCzwLwAw8DMQNZA4kDvwP6BDUEcASqBOUFIgViBaMF3wYQBjAGPQY0BhQF2AV5BPMETQOUAt8CQwHNAYABUAEwARYA+gDgAMoAvAC1ALUAvADLAOYBDwFEAYIBxgIMAlICmALbAxoDUQN/A6QDwwPgA/wEGAQyBEoEXQRuBHwEhgSOBJEEkASMBIUEfQRzBGcEWQRKBDkEJwQUA/8D6QPSA7oDogOMA3cDZQNUA0MDMAMbAwMC6gLVAsUCvAK2Aq4CnwKIAmoCSwIuAhMB+gHeAb8BnQF7AV0BQwErARIA8wDRAKsAhABfADoAFf/v/8j/of97/1f/NP8S/vD+zv6s/oj+ZP5B/iL+Cf31/eX91P29/aH9gf1k/U39Of0m/RD8+Pzh/ND8xfy6/KP8d/w0++b7ovt++4b7uvwM/GP8qPzK/MP8mfxa/Bf74fvA+7T7tvu7+7f7pfuI+2f7TPs9+zv7RPtV+2n7ffuP+5z7ovuh+5r7jfuA+3P7Z/te+1P7Rfsz+xv7Afrp+tX6yvrI+sv6zvrN+sT6tfqj+pH6gvp3+nD6bfpv+nb6f/qG+oT6dvpc+jr6Fvn1+dj5vvmk+Yr5cflY+UD5I/j++ND4m/hm+Df4Effy99b3ufeZ93z3ZfdY91L3UPdO90j3P/c49zL3Lvcr9yj3JPch9yD3IPcc9xD2+vbd9sD2qPaZ9pD2iPZ79mn2U/Y+9i32IfYV9gT17PXO9a31j/Vz9Vr1QPUl9Qn08fTf9NP0yfS89Kf0iPRi9Df0DPPg87Lzg/NS8yHy9PLO8q7ylvKC8nLyZfJY8kryOfIk8gvx8fHX8b7xpfGM8XHxVfE58SHxC/D28N/wxPCl8IPwZPBI8DHwHPAF7+vvze+u75Dvc+9X7zvvHu8A7uHuw+6o7o3ude5e7kruO+4w7izuL+447kXuVO5j7m/ud+577nzufe5+7oDuhe6L7pDule6Y7pnum+6e7qTuru667sbu1O7k7vrvGO8+72rvl+/B7+bwCfAs8FTwgvC28O3xJfFc8ZPxzPIH8kLyffK28uzzIPNT84XztvPm9BT0QvRw9J70zfT99S71YfWT9cb1+PYp9ln2h/ax9tb28/cK9x33NPdV94b3x/gR+Fr4mPjE+N/47/j8+Q75KPlH+Wj5iPmn+cT55PoH+i/6XvqV+tb7IPtz+838LPyQ/P39cv3t/mn+2/87/4n/ygAMAFkAtwEgAYkB5AIrAmACkwLSAyQDhwPwBFEEnwTaBQwFPwV9BcgGHQZzBsUHDQdLB4IHtAfjCBQISAiACLwI/Ak8CXwJvQoBCkkKlgrnCzcLgwvKDA0MUAyTDNUNFw1UDY8Nyg4GDkcOjA7RDxUPVg+WD9UQFhBXEJcQ1BELET8RcBGhEdASABIvEl8SkxLLEwUTQBN3E6oT2RQHFDcUaRSeFNUVDxVMFY0V0BYSFkwWfRakFsUW4hb/FxsXMRdAF0cXSRdMF1MXXBdmF24Xcxd3F34XhxeTF50XoRehF5wXmReZF58XpxewF7gXvhfFF84X2hfmF/EX+hgAGAQYCRgMGA0YCRgAF/EX3xfNF7wXrBecF44Xghd8F38XiReZF6cXrxetF6MXlheMF4kXjBeRF5QXkxeQF44XkReZF6EXpBebF4MXYBc2Fw8W8hbkFukXABcmF1UXhxe0F9cX6xfwF+cX1hfEF7cXshe0F7gXtRelF4cXXxczFwsW6hbPFrcWnxaHFnIWYhZVFkoWOxYoFhIV/xXxFeoV5RXcFcoVsBWTFXsVbhVpFWcVXxVLFSgU+RTFFJIUYxQ4FBAT5ROyE3UTMBLnEqASYRItEh0R+BHWEbURlRF7EWURUhE9ESMRBBDiEMMQqxCbEI8QhRB7EHIQbBBpEGUQXxBSEEEQLxAhEBsQGxAeECAQHRAWEAwQAQ/6D/UP9Q/5D/8QBBAGEAAP9Q/mD9kP0Q/PD84Pxg+zD5EPZA8xDv4Ozw6kDnwOUg4nDfoNzA2iDX8NZQ1QDT4NJw0FDNUMmQxWDBcL4gu8C6gLpguxC8UL3wv3DAcMCwwBC+kLxwuhC3sLWgs+CykLGwsSCwwLBQr5CuYKzQqwCpMKeAphCksKNAoXCfIJxgmUCV8JKwj6CMwIogh5CE8IJAf4B9AHsAeaB40Hhgd+B3EHXAdEBywHFwcHBvoG7AbbBscGsgahBpUGjQaDBnQGWgY2BgkF1wWjBXEFQwUaBPYE1wS4BJkEeQRZBDgEGgP+A+QDywOyA5oDhQNxA2ADTwM+AysDGAMGAvYC5gLSArcCkwJsAkQCIgIJAfcB6QHaAckBtgGiAY0BegFnAVIBOwEgAQIA4AC7AJQAbwBMAC0AEf/2/9r/u/+b/3r/Xf9E/y//Hf8N/v3+6/7V/rn+l/5u/kH+Ev3i/bH9e/09/PX8pvxU/An7y/ue+4P7dvty+3T7ePt/+4n7lPub+5r7iftk+yz65fqa+lL6FPnh+bP5hflV+SD46/i4+Iv4Yfg2+Aj31Pec92T3MvcJ9un20vbB9rf2sfat9qj2oPaR9nr2XfY79hj19vXU9bL1kPVw9VT1QPUz9Sr1IfUT9P704/TD9KH0fPRU9Cfz9/PI853zePNX8zjzFvLw8sXymvJv8kbyHfH08crxpPGE8WrxVPE+8SXxCfDu8NfwyPC+8LXwqvCd8I/wg/B68HHwZ/BZ8EjwOvAx8C/wMfA08DTwMfAs8CfwIfAY8Ajv8u/b78fvve++78fv1u/o7/3wFvA08FPwb/CE8I/wkvCT8JfwoPCt8LbwtPCi8ILwWfAy8BbwCvAL8BXwH/Al8CfwKPAr8DTwQvBS8GHwbPBz8HfwevB+8ITwjvCf8Lfw1fDz8Q7xJfE58U3xZPF/8ZzxtPHF8c7x0vHV8djx2PHT8cTxrPGQ8XPxWfFD8TPxKfEl8SnxNfFH8Vnxa/F98ZTxs/HX8fzyGvIs8jLyM/Iz8jjyPvJF8kryVvJw8qHy6PM684rzzPQA9C70YfSe9OP1KPVh9Y71tfXg9hX2U/aR9sf28fcW90H3ePe7+AH4QPhx+JT4svjS+Pr5Kflc+Y75wfn2+i/6bfqs+uj7IftY+5H7z/wO/Ez8hfy0/N39A/0p/VL9gP2y/ej+If5d/pr+2P8U/03/g/+1/+UAEwBDAHUAqwDnASQBYAGWAcMB5wIHAicCSgJyApwCyAL0AyADTgN9A6wD2QQCBCgETQRzBJ0EygT3BSQFUAV+Ba4F4wYYBkoGdQaYBrYG0wbyBxMHLwc9BzgHIAb9BtoGwAa3BrwGygbaBucG8Qb6BwQHEAcfBywHOAdBB0oHUgdaB18HXwdZB04HPgctBxwHDQcBBvkG9QbzBvEG7AbdBsMGnQZwBkYGJgYXBhgGJgY6Bk0GXgZuBoIGmga4BtYG8AcDBxAHGAcgBycHLQcxBzMHNwc/B08HZgeAB5cHqge5B8gH2gfxCAkIHggvCD4IUAhqCI4ItwjfCP8JFQkiCSkJMgk+CVEJaQmCCZQJkwl2CTgI4Ah7CBwHyweCBycGnAXIBKkDVgH6AMX/2f9F/wX/Dv9U/88AdQE7AggCwANMA6IDxgPKA8ADswOgA4MDVAMUAscCdgIjAckBYADmAF7/2P9l/xj++P8I/z7/kf/0AFkAswD5AScBRQFiAYwBzQIdAmsCnwKqAo4CVgIVAdcBngFkASQA4wCuAJYAnQC4ANAA0QCzAIYAYQBXAGoAiwCnALUAvQDWARABZgG9Ae8B3QGKARIApQBnAGUAjwDEAOkA9QDxAO4A+QERASwBPQFCAT8BPQFGAVsBegGeAcMB6wIZAk4ChgK/AvMDIgNKA3ADmAPEA/cEMARuBKsE5QUWBT0FXAVyBX4FfwVuBUkFDgS+BFkD4gNYArwCFgFyAOEAcQAoAAT//AAEABUALABLAHMApADaAREBRwF9AbQB7QIoAmICmwLTAwsDQwN7A68D2wP+BBgEKwQ5BEYEUARZBGEEaARxBHoEgwSJBIwEiwSIBIMEfARyBGMEUgQ+BCoEFwQEA/ED2wPEA60DlQN+A2gDUQM7AyMDCwLyAtcCvAKiAosCegJtAmECUwI+AiUCCgHuAdQBuQGdAX0BXAE7AR8BBwDwANgAvACbAHgAUwAwAA3/6f/F/6H/fP9Y/zT/D/7p/sX+ov6A/l/+O/4V/fH90f25/ab9lf2A/WT9Q/0k/Qr89vzi/Mv8sPyU/H78cfxs/GT8Tvwi++P7nfth+0H7Rvtv+7L7//xC/Gr8bfxL/A/7zfuY+3r7c/t6+3/7d/tg+z77Gvr++u366Prw+wH7G/s7+1z7ePuL+5T7k/uM+4T7fPt0+2n7WPtB+yX7Bvrp+tL6xPq9+rz6vPq5+rP6qPqc+pH6hvp6+mz6X/pU+lD6U/pc+mj6cfp1+nP6bPpd+kb6JPn3+cX5lPlq+Un5K/kK+OP4tfiF+Fn4NvgZ9//34/fE96X3jfd+93f3dfdz93D3a/dm92T3ZPdl92b3Zvdm92X3YfdY90f3LvcS9vf25PbZ9tP2zvbD9rH2m/aE9m/2YPZT9kT2L/YU9fP10PWu9Y71dPVe9U31QPUz9SP1DfTt9MT0k/Rg9C70APPW863zhfNd8zbzEfLx8tbywvK08qvypfKe8pXyhvJw8lXyOPIb8gHx5/HM8a3xi/Fq8UzxM/Ee8Qrw8/DY8LrwnPCB8GnwUfA38Brv+e/W77TvlO9371vvP+8j7wbu6e7N7rPunO6G7nPuZO5Y7lLuU+5c7mnueO6F7o7uku6Q7ovuhe5/7nrueO557n3ugu6H7onuiO6H7onuke6f7rLuxu7c7vTvEe8272Hvju+67+HwBfAp8FPwg/C68PXxMPFq8aTx4fIg8l/ym/LT8wXzNPNk85TzxfP19CL0SvRw9JX0u/Tm9RX1R/V79bD14/YV9kT2b/aX9rn21vbv9wn3KfdW95L33fgu+Hz4vfjs+Qr5H/k0+VH5dvmh+cv57/oJ+hv6LPpC+mP6lvrb+y77i/vp/EX8nPzx/Uj9pf4I/m3+zP8e/2T/o//mADUAlAD/AWsBzQIfAmUCqQLzA0gDpQP/BE0EiwS8BOoFHgVeBawGBAZgBroHDQdWB5UHyQf0CBsIRAhzCKoI6QkqCWsJqgnoCikKcAq8CwwLXQusC/cMPgyDDMUNBA1ADXsNtg3yDjEOcg6yDvAPLQ9oD6YP5RAkEGEQmhDPEQARMRFhEZERvxHtEhwSThKGEsES/RM1E2YTkhO7E+YUFBRGFHwUthTzFTMVcxWxFekWFxY9FmAWhBarFtMW9xcSFyMXLRc0FzwXRxdSF1oXXhdgF2MXaBdvF3YXexd8F3sXehd9F4UXjheZF6QXrxe7F8gX1RfjF+4X9xf9GAIYBhgJGAkYBhf9F/EX4RfRF8IXtBenF5oXjheDF3wXehd+F4QXiheNF40XixeKF40XkReTF5AXhxd4F2kXWxdSF0sXRRc8Fy8XHRcIFvUW6RboFvcXGBdIF4EXuRfmGAEYBRf2F9kXtxeaF4wXjReaF6oXsxerF5IXaxdAFxkW+RbfFsYWrBaRFnkWZxZaFksWNxYbFfwV4hXUFdIV1hXWFcgVrBWIFWcVUhVOFVMVVxVRFToVERTcFKEUZxQzFAQT2BOqE3UTOBL2ErUSeRJHEikSBhHkEcQRpRGKEXYRZBFRETkRGxD6EN0QyBC7ELQQrRCkEJsQkhCNEIsQiRCEEH0QdBBuEG0QcRB3EHwQfRB6EHQQahBeEFIQRxA/EDsQPBA+EDwQNhApEBkQCQ/5D+oP2A/AD6EPfA9TDykPAA7aDrYOkw5vDkoOIA30DccNnw19DWENSA0rDQMM0QyXDF4MLQwLC/gL8wv5DAUMEgweDCQMIQwRC/YL0QunC34LWgs/Cy0LIwsdCxcLDgsACusK0wq5CqAKhwpwClkKQAojCgIJ2wmtCXsJRgkQCNsIpwh0CD4ICAfVB6oHjweHB44HnQerB7AHqAeWB4AHawdZB0cHMwcaBv8G5AbPBsAGswajBogGYAYuBfcFwQWRBWcFQwUjBQQE5wTLBLAEkwR2BFcEOAQZA/wD4gPJA7EDmwOEA20DVQM9AyUDDwL9Au4C4QLTAr4CoQJ8AlICKAICAeIByQG2AaUBlAGCAW4BWQFDAS0BFgD+AOIAwQCaAHEARwAg////4P/D/6P/gf9c/zj/F/76/uL+zP63/qH+i/50/lr+Pf4e/fv91v2v/YP9T/0R/Mn8efwo+9z7nPts+077Pvs7+0H7Tfte+3D7gPuG+337YPsw+u/6p/pg+iD56fm4+Yj5Vfkc+OH4qfh2+Er4IPf298f3k/dd9yr2/vbb9sP2tfau9qz2rfav9qz2o/aR9nb2VvYy9g716vXI9aX1gvVg9UT1MPUk9R31FfUH9O/0z/Sr9Ib0Y/Q/9Bnz8PPE85nzc/NR8zLzEvLt8sPylfJo8jvyDvHh8bXxjPFq8VDxO/Eo8RLw9/Da8L3wpfCT8Ibwe/B08HDwb/Bv8G3wY/BR8DrwJfAV8A3wCfAF7//v9u/u7+fv4O/U78Hvp++L73Xvae9s73zvku+t78jv5PAC8B7wOPBM8FrwYfBn8G/wefCD8IvwivB+8GnwUPA78DDwMfA58EHwRfBB8DnwM/A18EDwUPBg8GrwbfBq8GPwXPBW8FHwTfBN8FPwYPBz8IrwpPDC8OPxC/E18V7xgPGX8aPxqPGs8bPxvPHF8crxyvHC8bXxo/GP8XnxZPFV8UzxSvFK8UzxUPFa8W/xkfG78eHx9fHx8dfxsPGL8XbxdvGN8brx/PJS8rfzH/N988Xz9fQV9DL0W/ST9NT1E/VI9XT1oPXW9hj2Xvaa9sT24Pb69yT3Z/e7+BL4WfiG+KD4tPjQ+Pv5M/lw+an53voS+kv6ifrJ+wj7RPt++7n79/w2/HH8ovzJ/Or9Dv0//X79yv4c/mv+s/7z/y7/Z/+g/9kAEABEAHQAogDPAPwBKgFZAYUBrgHSAfICEgIyAlYCfQKmAtEC/QMqA1kDiQO4A+MECwQtBE4EbwSUBL0E5wUSBTwFZwWWBcwGBwZFBn0GqwbLBuIG9wcOByoHRAdTB1EHOwcYBvQG2QbOBtIG3wbvBv4HDAcaBykHOQdGB04HVAdaB2QHcweDB40HjAd/B2kHUAc7BysHHwcUBwkG/wb3BvUG8wbtBtsGvAaRBmUGQgYwBi8GOwZMBlwGagZ4BooGowbCBuEG/QcRByAHKgcyBzoHQAdEB0UHRwdNB1kHbAeBB5YHqAe6B84H5Qf/CBkIMAhECFYIbAiHCKkIzQjvCQwJIQkvCTYJOgk9CUUJVglvCYgJjglrCREIhQfaBzEGpwZABesFggTgA/UC0AGbAIr/x/9m/2H/ogAPAJUBJwHAAlUC3ANJA5gDygPkA+8D7gPeA74DjANLAwQCwAKBAkMB/AGiATIAsgAv/7j/XP8j/w3/F/82/2D/iv+v/8//9QAwAI4BFgG7AmcC/ANfA4YDdAM5AuUChgIiAb4BYQEYAO0A4QDqAPUA8QDWAK8AjQCAAI4ArQDPAOwBCAEwAW4BuQH6AhAB6AGGAQoAngBiAF4AgACnALwAugCuAKoAvADhAQwBMAFIAVcBaQGGAbIB5wIeAlACfgKpAtYDBwM5A2oDlwPBA+cEDQQ1BGEEkQTDBO4FCwUVBQYE5ASyBHQELgPdA4ADFQKeAiABnwEfAKYAOv/i/6b/iv+P/6z/2AALAEEAewC9AQYBVQGlAfECOQJ7ArkC8wMoA1UDewOcA7sD2gP3BBIEKAQ4BEMETARSBFYEWARXBFYEVwRcBGMEawRxBHMEcgRvBGoEYgRWBEUEMAQbBAcD9wPoA9cDwwOtA5YDfwNrA1YDPwMnAw4C9QLdAsYCrgKVAnoCXwJHAjACGgICAekBzwG2AZ0BgwFmAUUBIwEBAOMAyQCxAJkAfwBjAEQAJgAG/+T/v/+Z/3P/Tv8q/wb+4P65/pP+cP5Q/jL+Ef3r/cP9nf19/Wb9VP1B/Sj9Cfzq/M38tvyh/Iv8b/xS/Df8Jfwc/Bf8Dvv4+9P7n/tk+y37Bfr4+wv7PvuF+8z7/PwG++r7tft6+077Ofs3+zz7Ovsr+xL69PrY+sH6svqs+rL6x/rq+xf7Rvtv+4v7mfua+5P7h/t4+2b7Uvs7+yL7CPrv+tn6xvq4+q76p/qg+pv6lvqT+pH6jvqG+nb6X/pH+jT6Lfo1+kr6afqM+q36x/rR+sX6ofpl+hz50vmT+WT5Q/kn+Qj44vi2+Iv4Y/hC+CX4CPfr98/3t/em95z3mPeY95r3nfeh96X3qvet97D3svez97H3qveb94T3Z/dJ9zD3IPcY9xb3E/cM9v326fbS9r32qvaa9or2dvZb9jn2EfXo9cT1qvWb9ZT1jfV/9WP1OPUA9ML0hPRM9B3z9PPP863zivNp80rzLvMW8wHy8PLi8tny1PLR8s3yxfK18qDyh/Jt8lLyN/IY8fXxzvGm8YHxYfFH8THxG/ED8OnwzfCx8JbwevBd8D3wGu/279Pvsu+U73jvXu9D7yjvDe7y7truxe607qfunO6U7o7uje6S7pvup+6x7rbutu6x7qjune6R7oXue+527nbufO6D7ojuie6G7oPuhu6R7qTuu+7V7vHvEe8472Tvk++/7+bwCfAt8FfwivDD8QDxPfF58bXx8/I08nPyr/Lj8xHzO/Nn85XzxvP29CL0SPRr9I30sfTY9QP1MfVi9ZH1v/Xq9hL2N/Zc9oL2qPbS9wD3NPdv97T3/vhK+JD4y/j3+Rf5MvlR+Xj5qPne+hL6Pfpb+m76e/qN+q364Psp+4L74/xB/Jf84f0k/Wf9r/3+/lP+qP73/z//g//KABgAcADNASsBhQHZAi0ChALiA0QDpAP5BD8EdgSmBNcFDwVTBaAF9gZQBqsHBQdZB6MH3wgMCC4ITQhwCJwI0gkQCVEJkgnSChMKVwqfCu0LPQuNC9sMJwxvDLMM9A0xDWwNpg3eDhYOTQ6CDrYO6g8hD1oPlg/SEAwQRRB7ELEQ6REhEVgRjBG9EewSHRJREokSwRL2EyUTTxN3E6ETzRP9FC8UYxSaFNQVDxVJFX0VqxXSFfcWHhZIFnMWmxa7FtMW5Rb1FwYXGRcrFzkXQhdIF00XVBdcF2QXaRdrF2wXbhdzF3sXhReRF5wXqBe1F8EXzhfZF+MX7Rf1F/0YBBgJGAoYCRgEF/sX8BfjF9QXxRe0F6MXkBd/F3AXZhdiF2QXaxd0F34XiBeQF5YXlReMF3oXYBdDFygXERcAFvQW7RboFuYW5RbkFuQW5RbuFwQXKRdeF5sX0xf9GA4YBRfoF8AXlxd6F24XdReLF6QXtRezF5sXdBdIFx8XARbqFtYWwRaoFo8WdxZhFkoWLxYPFe8V2BXOFdEV2BXVFcAVmRVqFUIVLRUsFTsVTBVRFUIVHRTlFKMUYBQhE+sTvRORE2MTLhL0ErkSgRJREisSDRHxEdQRtxGbEYMRbxFaEUERJhEKEPMQ4xDbENcQ0hDKEMAQtxCzELMQthC4ELoQuxC9EMIQyRDSENkQ3hDhEOAQ2xDQEL8QqxCYEIsQhhCHEIoQihCCEHIQWhA+EB8QAA/iD8QPpw+JD2kPRg8iDwAO4w7KDrMOlw5yDkQOEQ3hDbgNlA1yDUsNHAzmDLAMggxgDEwMRAxDDEYMSAxJDEUMOwwoDAsL5Qu6C48LagtOCzwLMwstCyULGAsECuwK0wq7CqcKlAqDCnAKWwpDCicKBgncCasJcwk3CPoIvQiACEMIBgfQB6gHlQeaB7QH2Af5CAwIDQf9B+QHyQevB5cHfgdiB0MHJgcLBvUG3wbEBp4GawYvBfIFugWMBWYFRwUrBQ4E8wTZBMAEpwSNBG8EUAQwBBID+APgA8kDsQOWA3gDWQM7Ax4DAwLtAtoCywK/ArMCogKJAmcCPAIOAeABuQGZAYEBbAFYAUABJgELAPEA2QDBAKcAiABjADsAEf/r/8f/pv+D/1//OP8Q/ur+yP6p/o3+cf5U/jn+Hf4D/en90P22/Zr9ff1c/TX9BvzM/Ib8OPvn+5r7WPsm+wf6+vr8+wv7Ivs9+1b7aPtt+177OvsC+r/6ePo4+gH50fmi+W75Mvjv+Kv4bPg3+An33/ez94L3Tvcb9u32yPat9pz2lfaU9pj2nfag9pz2j/Z59lv2OfYV9fP10/Wz9ZL1cvVS9Tb1IfUT9Qn0/vTt9NT0svSN9Gn0R/Qn9AXz3/O284vzZPND8yTzBvLi8rnyjPJe8jDyA/HW8anxfvFa8T/xK/Eb8Qjw7vDP8K7wj/B28GXwWvBX8FjwXPBf8F3wUvA/8CfwEO/+7/Dv5e/X78bvs++g75Dvge9x71zvRO8u7yDvH+8s70TvYe+A75zvte/N7+Lv9fAI8BvwL/BG8F3wc/CF8JDwkfCK8H3wbvBj8F7wYPBj8GPwWvBI8DLwH/AW8BfwH/Ap8DLwOPA98EXwTvBV8FXwTPA+8DDwK/Ay8EfwZfCK8LTw4PEM8TXxWPFx8YDxifGR8ZvxqvG88c7x3fHm8ebx2/HG8a3xk/F98W3xYPFT8UbxPPE98U3xbfGT8a7xr/GT8V7xJPD38Ofw+fEs8Xrx2/JK8rzzJ/OA87/z5/QE9CL0TfSF9ML0+/Ut9Vv1kPXS9h/2afaj9sb22vbx9xz3Y/e8+BT4WPiD+Jv4svjW+Qz5T/mT+dD6Bvo5+nD6q/ro+yT7XPuU+9D8EvxW/JP8wvzj/P79If1Y/ab+CP5v/s//IP9i/5v/0QAJAEQAfgC2AOkBGAFGAXEBmwG/Ad4B9gIMAiQCQQJlAo4CuQLjAw0DNgNgA4wDuQPlBA0EMQRTBHQEmAS/BOkFEgU6BWEFiQW4Be8GLQZtBqkG2Ab6Bw8HIAcxB0QHVwdfB1gHQAccBvkG4AbXBt4G7gcDBxkHLwdGB10Hbwd5B3sHeAd4B4IHlQeqB7YHsQeaB3gHVwc/BzEHKQcgBxQHBAb3BvAG7gbrBt4GxAaeBnUGVAZDBkMGTgZeBm0GeQaGBpcGrgbJBuQG/AcQByEHMgdEB1QHYAdnB2kHaQdsB3QHgQeRB6IHsgfFB9kH8ggLCCQIOwhQCGcIggihCMII4Aj7CREJJAk0CT8JRAlCCUIJSglgCXoJfwlSCNkIEwcYBhQFNASPBB4DvQNEApkBwgDfACL/sP+c/9oAUADbAWUB4AJLAqkC+wNAA3gDogPAA9QD3QPbA8oDpwN2AzsC/gLFAo4CVQITAcIBYADyAIEAGP+//3n/RP8b/vj+1v62/p7+m/69/xP/pABrAVICOAL3A3QDowOKA0AC4gKHAj0CCAHkAcsBtgGhAYgBawFNATIBIQEeASYBNgFIAV4BfAGpAeICGgI4AiUB2gFjAOIAfABKAE0AbwCSAKMAnwCVAJkAtwDuATABbwGlAdQCBAI9An4CvwL3AyEDPANRA2YDggOkA8oD7gQLBCEEMAQ9BE0EYQRzBHkEaQQ6A+sDgwMPApwCLwHJAWkBCgCrAFD//P+1/3//Xv9Y/27/oP/oADsAkQDhASwBdAG8AgYCUQKYAtoDFgNNA4IDsgPcA/wEFAQkBDAEOQRBBEYESARHBEcESARKBEsESgRFBEAEPgRBBEYESwRNBEoEQwQ8BDUELAQgBA8D+wPoA9gDzAO/A68DmQOAA2cDUgNCAzQDJQMRAvsC4wLOAroCpgKPAnQCVQI1AhQB9QHVAbcBmQF+AWUBTAExARMA8wDTALYAmwCBAGcATAAwABT/+P/a/7f/j/9k/zn/Ev7v/s3+qv6D/lz+OP4Z/fz93v26/ZL9aP1F/Sr9Fv0E/Oz8zvyu/I/8dvxg/Ev8NPwa/AD76fvZ+837xPu5+6n7j/tn+zL69vrA+qL6qPrX+x/7Z/uX+6D7hPtT+yT7A/r1+vP68/rw+uf62frJ+rX6n/qM+oL6iPqj+tD7B/s++2v7ifuW+5L7gvtq+077NPsc+wn6+Prn+tT6wPqu+p/6lvqQ+oz6ivqK+ov6i/qG+nf6YPpF+i36Ifom+jz6YvqS+sT68PsP+xf7AvrP+of6Nvnr+a35gPld+Tv5Ffjo+Ln4i/hj+EH4JfgO9/r35/fX98v3xPfC98j30/fh9+739vf59/n3+Pf39/T36/fZ9773nvd/92j3WfdS90/3SvdC9zb3JfcR9v726/ba9sr2uPag9n/2WPYw9g319/Xs9ej13vXD9ZL1TPT79Kv0Z/Qz9A3z7/PT87bzmPN782HzS/M48yfzFvMH8vvy9PLy8vPy9PLw8uXy1PK+8qPyhfJj8j3yE/Ho8b/xm/F78WHxSfEy8Rrw//Dj8MTwo/CB8F7wOvAX7/Tv0u+z75bvfO9j70nvLu8U7v3u6+7g7tvu2O7X7tXu0+7U7tju3O7g7uHu3u7Z7tLuyu7B7rXuqO6d7pjume6g7qbup+6j7p3ume6d7qruv+7a7vnvHe9I73fvp+/S7/bwF/A48GHwk/DN8QvxSfGG8cLyAfI/8nzys/Lj8w3zNPNe84vzu/Pq9BX0PPRh9IT0qfTP9Pb1HfVF9Wv1kfW29dr2APYq9lv2kvbR9xT3Wvei9+j4Lfht+Kb41fj7+Rv5Oflb+YT5tfnq+h76TPpw+or6n/q4+tz7EftY+638Bvxb/Kf85v0f/Vj9lv3e/i7+gv7W/yj/eP/HABcAZgCyAPkBPQGDAdICLgKYAwgDcwPRBB8EXgSWBM8FDQVRBZsF6QY6BpAG6AdBB5QH2wgSCDoIWAh0CJQIvgjxCSwJbAmwCfUKPAqECs0LGAtjC68L+wxFDIsMzg0MDUcNfQ2xDeIOEQ4/Dm0Ong7TDwwPRw+DD74P+RA1EHUQuBD8ET4RfBGzEeUSFhJIEnoSqxLaEwQTLBNUE34TrBPbFAkUNxRmFJcUyxUAFTMVYRWJFa8V1BX7FiEWRRZjFnwWlRavFssW6RcFFxwXLxdAF1EXYRdwF3sXgBeBF4MXhhePF5oXpxezF70XxRfLF9AX1RfaF+EX6hf2GAIYDhgVGBkYGBgWGBMYDRgFF/cX5RfOF7UXnheJF3kXbxdpF2gXaxdzF30XiheWF5sXlBd/F14XNRcNFuwW1BbDFrkWshaxFrQWvBbFFs8W2RbnFwIXLRdnF6YX3Rf/GAUX8xfRF6oXhxdwF2kXcBeCF5gXpRejF4wXZhc5FxEW9RbkFtgWyxa2FpwWfhZgFkMWJhYLFfMV5BXfFd8V3BXKFacVdhVCFRwVDBUTFSkVPxVIFToVFBTaFJIURxQBE8QTkxNoE0ATExLhEq0SexJPEiYSDRH2Ed4RwxGoEY4RdxFiEU4ROBEkERMRBhD+EPcQ7xDmEN0Q1xDWENoQ4BDnEO4Q9BD7EQIRCxETERoRIhEqETERNhEzESgRFhECEPIQ6hDqEO4Q8RDrENsQvxCbEHIQShAnEAsP9Q/hD8gPqQ+FD2EPRQ8xDyQPFA77DtQOow5vDj4OEw3qDb8NjA1UDRwM6QzBDKYMlQyKDIMMfQx2DG0MYQxPDDUMEgvpC74Llwt3C2ALUQtFCzcLIwsKCu4K1QrCCrQKqgqgCpQKhQpzClsKPgoXCecJrglvCSwI6QinCGUIKAf1B9MHywffCAgIPQhsCIgIjAh3CFIIJwf/B9wHvgehB4QHZgdHBykHCAbjBrUGfQY+BgAFyQWbBXYFWAU7BR0FAATkBMsEswSaBH4EXgQ+BCAEBgPvA9cDuwObA3gDVQM0AxcC/QLkAswCuAKqAqACmAKMAnUCUAIgAesBuAGNAWoBTAEuAQwA5wDBAJ4AgQBnAE8AMwAU//L/zv+p/4X/YP84/w/+5f69/pj+df5U/jL+EP3u/c39rv2S/Xf9Xv1G/S39FPz3/NP8p/xv/Cv73/uQ+0P7APrP+rL6q/q3+tH68vsW+zX7SvtP+z/7F/rb+pT6TPoO+dz5svmK+Vj5G/jU+Ir4RvgK99f3pvd190D3DPbc9rT2lvaC9nb2cfZx9nb2fPZ99nf2ZvZN9iz2C/Xq9cv1rvWS9XT1VfU49R31B/T29Of02PTE9Kn0iPRm9ET0JfQG8+XzvvOS82XzO/MZ8vvy3/LA8pzydPJM8iTx/PHT8afxe/FT8TLxGvEH8PTw3PC98JvwevBg8E/wRPBA8EDwQfBA8DvwMPAf8Avv9u/k79Lvv++o747vcu9Y70HvK+8W7wLu8e7o7uru+e8R7y7vTO9n737vku+i76/vvO/N7+bwCPAy8F3whPCh8LLwuPC28K7wovCW8Irwf/Bz8GPwTvAy8BPv9u/h79Lvyu/G78bvze/g8ADwJ/BM8GLwZfBX8EPwNvA38EnwZ/CL8LDw0/D08RXxNfFT8Wvxf/GP8Z3xrPG98dDx4PHo8ePx0fGz8ZPxd/Fl8VvxU/FF8S/xFvED8P7xCfEb8SXxHvED8ODwxPC/8NfxC/FS8aTx/PJW8rDzBfNO84jztfPd9Aj0PfR49LP06PUY9Un1hfXN9hz2Zvae9sD21vbv9xr3W/ep9/X4Mfhd+H/4pvjb+Rz5ZPmo+eT6GfpO+ob6wfr7+zL7Z/uf+9/8Kfx1/Lj86/0O/Sn9Tf2H/dr+Qf6u/xL/Zf+p/+MAHABYAJYA1AENAUEBcQGeAckB8AIQAicCOAJIAlwCeQKeAskC8wMaAz4DYQOFA6wD1AP8BCMERwRrBJAEuAThBQoFMwVaBYIFrAXbBg8GSQaDBroG6AcLByUHOAdIB1gHYwdmB1wHRAclBwcG8wbtBvQHBAcZBzIHTQdrB4cHnQelB6MHmgeWB50HrwfDB80HxAeoB4IHXgdHBz0HOgc0BycHEwcABvMG7AbnBtsGwwagBnwGXgZQBlAGWwZqBngGhQaSBqMGtwbNBuMG9wcLByEHOQdTB2sHfAeFB4cHiAeKB5EHnAepB7cHxQfVB+kH/wgWCCsIQAhWCHEIkgi2CNgI8wkICRkJKgk9CU0JWAlaCVoJYQlyCYcJhAlHCLAHuwaABS8D/AMMAmIB5wF5AQAAfAAF/7r/tP/1AGwA/AGHAf0CWgKjAuADFANBA2UDfgOOA5kDoQOmA6YDngOIA2UDNwMCAskCkAJUAhMBygF5ASMAzQB8ADD/5/+c/03++f6j/lL+Ef3t/ff+PP7D/4UAaAFGAfUCXAJ3Al4CNwImAjoCagKcArECnAJhAhYB1AGvAakBuAHNAdwB4AHeAeAB7QIGAiQCNgIqAfUBmwEuAMkAiAB0AIsAtgDfAPkBBAENASQBUgGSAdsCHwJbApECxwL/AzcDZQOBA4gDfwNxA2kDbgOAA5gDqwOwA6MDiANnA0kDMwMfAwICzQJ5AgYBgAD6AIMAJv/k/7f/mP+D/3X/cf92/4f/pv/WABoAcADSATgBmQHvAjgCeAK1Au4DJQNWA4IDqgPQA/UEFwQ0BEoEWARgBGQEZgRlBGEEWQRQBEgEQwRABD0ENgQtBCQEHgQcBB0EHQQYBA8EAwP5A/ED6gPhA9IDwQOwA6IDlgOJA3cDXQM/AyMDDgMCAvsC8gLkAtACuQKiAo8CfAJpAlICNgIXAfUB0gGsAYcBYwFCASYBDQD1ANwAwwCpAJAAeABeAEIAIwAD/+P/xf+l/4D/Vf8m/vj+z/6u/o/+cP5M/iT9/v3c/b79ov2B/V39Nv0T/Pf84fzM/LP8lPxz/FP8N/wg/Av79vvg+8n7tfui+5D7gPt0+2r7YftQ+y/6+/q7+oL6ZPpv+p/64vsd+zv7NvsY+u/6zfq4+rD6sPqz+rb6tvqy+qf6lfp/+m76a/p5+pv6yvsA+zP7Xft5+4H7dvtb+zj7Ffr6+uj63PrO+r36qfqW+or6hfqF+oX6gvp8+nb6cPpq+mD6UvpA+i76JPom+jX6UPp1+qD6zfr5+xr7KPsd+vf6uvpy+if54vml+W/5PPkK+Nj4qPh9+Fv4Q/gz+Cn4H/gU+Af3+/f29/v4Cfgc+C34Nfg0+C34Jvgh+Bz4Evf+9+L3wvek94/3g/d993f3b/dj91b3R/c59yr3GvcK9vr26PbT9rj2mPZ29lr2SvZD9j32LPYD9b31YfT+9KL0XPQt9A/z+/Pm883zsPOS83jzYvNQ80DzMPMi8xbzEPMR8xbzHPMg8x3zEfL88uDyv/Kb8nXyTvIn8gLx3vG98aDxhvFv8VjxP/Ei8QHw3PC18I3wZvBA8Bvv9+/V77fvne+F727vVO867yPvEu8L7wzvE+8a7x/vIO8f7x7vG+8X7xDvCO8B7v3u/O777vfu7e7i7tju1O7X7tvu3O7Y7s/ux+7E7svu3O707xTvOu9m75Xvwu/q8AvwKPBH8G3wnvDX8RXxUvGP8czyCPJD8nnyqvLV8v3zJfNR84Dzr/PZ9AD0I/RG9Gr0kPS19Nn0+/Ud9UH1afWU9cT1+fY09nb2vvcK91b3oPfm+Cb4YPiU+MD45vkH+SP5QPlf+YP5qvnU+f/6J/pM+m76j/qz+t77FvtZ+6b79vxC/Ib8wfz3/S39av2w/gD+Vv6w/wv/Zv/AABcAZgCpAOABDwFBAYEB1QI/ArYDLgObA/cERQSIBMgFCQVLBY4F0QYXBmIGtAcKB2EHsQf1CCwIVQh2CJIIrwjRCP4JNQl2Cb0KBwpQCpcK3AsiC2oLswv9DEQMhwzGDP8NNQ1oDZgNxw33DikOYA6bDtkPGQ9XD5QP0RAREFcQoBDsETYRehG5EfISKBJaEooSthLdEwETJRNOE3sTqxPbFAkUNBRdFIgUthTlFRUVQRVqFZAVthXaFf0WHBY3FlIWbxaQFrQW1xb4FxUXMBdMF2oXiReiF7MXuRe6F7oXwBfMF9wX7Bf3F/0X/hf7F/YX8RfuF+8X9xgEGBMYIBgnGCgYJxgmGCcYKxgrGCUYFhf/F+YXzxe+F7QXrheoF6EXmReTF5QXnBemF6wXoxeIF10XKhb6FtUWvBasFqAWlxaRFpEWlxaiFq4WvBbPFvAXIxdlF6gX3hf4F/UX3Re7F50XiBd7F3QXchd1F3oXfhd6F2gXSBcgFvwW4hbVFs8Wxxa2FpsWeRZWFjcWHhYKFfoV7hXkFdgVxRWmFXwVThUmFQwVBxURFSMVMBUwFRwU8xS3FG4UIRPWE5UTYRM4ExMS7xLFEpgSbBJFEhYR/RHnEdERuRGgEYkRdRFmEVkRThFCETYRKhEfERMRCBD/EPgQ9RD2EPoRAREJERERHBEoETMRPhFGEU4RVhFiEXERfhGGEYURfBFtEWARWBFVEVYRVhFPET4RIxD9ENIQpxCCEGcQVRBHEDUQGg/1D84PrA+UD4UPeQ9nD0sPJA75Ds4OpQ57Dk0OGA3cDZ8NZQ00DQwM7gzXDMcMuwyzDKwMpAyXDIMMZQw/DBQL5wu8C5cLeAtdC0MLJwsLCvMK4ArVCtEKzwrMCsYKvAqtCpsKgwpiCjYKAAnACXsJNAjsCKcIaQg7CCMIJwhICH8IwAj5CRoJHAj+CMcIhghHCBMH6wfMB68HkQduB0gHHgbwBr0GhAZIBg0F1wWsBYoFbQVRBTMFFAT1BNkEvwSlBIkEawRLBC0EEgP5A94DvwObA3UDUQMyAxcC/wLlAssCsQKdApECiwKDAnMCVAInAfEBugGJAV4BNgEKANgAowBuAD8AGf/7/+L/yv+w/5T/df9S/y3/BP7Y/q3+hP5e/jn+FP3t/cT9m/10/VH9Mv0W/Pv84fzJ/LH8mfx+/Fz8Mfv6+7n7cPsk+tr6m/ps+lP6Ufpj+oT6rfrY+v/7Hvsr+yL6/fq/+nH6Ifnb+af5gPld+TP4+/i3+G34Jvfl96v3dPc99wX20fak9oH2Z/ZW9kr2RPZD9kf2TfZO9kf2NPYZ9fj12PW69Z/1hfVq9Uz1LvUP9PP02/TH9LT0ofSL9HH0VPQ19Bjz/PPf873zlPNk8zPzBvLh8sTyq/KS8nXyVPIy8g/x7PHG8ZvxbPFA8Rrw/PDm8NHwuvCe8H/wYvBL8DrwLvAm8CDwG/AY8BTwDvAF7/jv6e/W78Dvpu+L73HvWe9E7zHvHO8G7vHu5O7j7u/vBO8e7zXvSu9e73Dvg++U76Hvre++79vwBvA78HPwo/DF8Njw3vDc8NPww/Ct8JHwc/BV8DjwHfAB7+bvzO+z75vvgu9q71fvUu9j74vvxPAA8C/wR/BJ8EHwOvA/8FHwbPCJ8KLwuPDO8OjxCPEr8U3xa/GC8ZLxn/Gq8bbxvvG88arxiPFc8TPxGfET8RzxJ/El8Q3w5PC18I7wdPBo8GTwY/Bp8HzwpPDi8S7xffHD8f3yMPJk8p3y2/Ma81Xzi/PA8/f0MvRw9Kr03/US9Uf1hfXL9hT2VfaI9q32y/bs9xn3UfeQ98z4Afgx+GL4mvja+R/5Yvmf+df6D/pL+ov6zPsJ+0H7ePuz+/n8SPyY/OH9Gf1C/Wb9kv3Q/iT+iP7w/1D/pP/sAC0AbQCuAO8BLAFjAZMBwAHqAhMCOAJVAmoCeAKEApUCrgLQAvgDHwNDA2UDhQOmA8oD7wQVBDsEYQSGBKwE0wT5BSEFSwV4BacF1wYHBjQGYAaLBrUG3gcFBycHQwdaB2oHcwdzB2kHVwdAByoHGgcUBxcHIAcwB0UHYAd+B50HtAe/B74HtgexB7YHxAfSB9cHygetB4gHaAdTB0wHTAdJBz4HKwcXBwcG+wbxBuEGxwamBoMGaAZZBlgGYQZuBnwGigaZBqkGvAbPBuMG9wcMByUHQAdbB3IHggeJB4sHjQeRB5sHqAe2B8MH0AffB/EIBggbCDAIRQhcCHkIngjFCOgJAgkTCR8JKwk8CU8JYQluCXoJiQmfCbAJoglSCKMHkQY0BLwDXAI5AV0AvgBH/+v/q/+W/7kAEgCUASQBqAIRAl8CmALJAvgDJQNMA2cDdQN4A3QDcANwA3IDdQNyA2UDSgMjAvMCvQKFAkoCDQHNAYsBSwEMAM8AkgBQAAb/tP9b/v3+nP49/e39vf3C/gf+hv8j/7cAJABeAHsAnQDpAWUB+wJ6ArkCogJKAd0BigFvAY0BygIHAi8CPAI6AjQCMgIwAiQCBgHRAY0BSAEQAPIA8QEKATIBXQGCAZ8BuAHVAfsCKgJdAowCsALJAtsC6wL7AwcDBwL3AtUCqgKBAmUCXQJlAnECcgJdAi4B6QGeAVkBIwD7ANQAnwBU//X/j/8z/vH+0v7S/u3/Gf9Q/5D/1gAeAGYArAD0AUABkwHrAkICkALTAwgDNQNdA4MDpwPJA+YEAQQbBDQESgRdBGgEbgRwBHIEcgRxBGwEYwRXBEsEQAQ1BCoEHAQMA/wD8APpA+QD3wPVA8kDvAO0A68DqwOkA5cDhQNyA2EDUwNEAzADFQL2AtgCwgK0AqsCogKTAn4CZgJOAjkCKAIWAgQB7wHWAboBmgF2AVABKQEHAOkA0AC6AKMAiwB0AF4ASAAwABP/8v/O/6r/iP9n/0L/F/7o/rr+kv5x/lX+N/4U/ez9w/2d/X79Yv1F/Sb9Bfzl/Mn8sPyX/Hv8XPw7/B38Afvn+877tPuc+4n7evts+137Svs2+yf7IPsb+w/68vrC+or6XfpM+lz6hPqv+sz60vrC+qj6j/p9+nP6cfpy+nX6efp7+nn6dPpt+mr6bvp7+pD6rfrR+vz7KftR+2r7bftZ+zb7EPry+t/60vrE+rD6l/qC+nf6d/p9+n/6efpq+lf6SPpA+jz6Ofoz+iz6Jfoi+ib6L/o/+lf6evqp+uH7F/tA+037OPsB+q/6Ufny+Z35Vvkb+Ov4wfib+Hz4Zvha+Ff4VfhQ+EX4OPgv+DD4PPhN+Fr4XfhU+EX4N/gu+Cj4H/gM9+/3z/ey95/3lfeQ94r3gfd092f3XfdU90r3Pvcv9x33Cvb09tv2v/ak9o/2hfaD9n72afY59ev1hvUc9L30dfRF9Cr0F/QF8+7z0fOx85LzdvNf80zzP/M38zPzM/M28zvzQPNC8z7zMvMe8wLy4fK98pryevJb8jzyHfH+8d7xwfGo8ZHxevFh8UHxG/Dx8MXwmfBv8EbwH+/8793vxO+v75vvhe9u71jvSO9C70fvU+9h72rvb+9u72nvYO9S70HvMO8i7xzvHe8i7ybvJe8f7xjvE+8U7xfvF+8S7wju/e747vvvCe8g7z/vZO+N77jv4PAE8CLwPfBc8ILwsfDo8SLxXfGY8dHyCfI98mzylfK88uTzEfNC83Pzn/PD8+Dz/PQa9D30ZPSL9LH01fT89Sj1XPWZ9d72KfZ59sv3HPdp96737Pgi+FL4ffik+Mb45fkB+Rz5OflX+Xb5lfmz+dP59PoZ+kH6a/qY+sj6//s9+4L7y/wT/Fb8kPzF/Pj9Mf1z/b/+FP5v/s7/Lv+N/+kAPACBALcA4gEOAUYBlgIAAnwC/QN2A94ENAR8BL4E/AU5BXQFsAXtBjAGegbLByEHdgfHCA8ITAh6CJoIsQjECNwJAQk0CXMJugoCCkcKigrOCxMLXAumC+0MMQxxDK0M5w0gDVcNjQ3FDgEOQA6EDsoPDg9PD4wPyBAGEEkQkBDZESMRahGuEe4SKxJiEpMSvhLiEwUTKRNTE4MTtxPrFBwURxRvFJYUvhToFRIVOxVjFYsVsxXaFf8WIRY/Fl0WfhaiFsYW6RcGFyEXPhdiF4wXtxfcF/MX/Rf/GAAYBxgVGCYYNBg7GDsYNRgtGCQYHBgVGBQYGBgiGC8YOBg7GDcYMRgwGDUYQBhMGFIYTxhCGDAYIRgZGBYYFBgOF/8X6RfTF8YXxRfOF9UXzhewF34XQxcMFuIWxhazFqIWjxZ/FnUWdRZ9FogWlRarFtAXCxdXF6MX3Bf1F+0X0BexF5oXjheIF38XcRdiF1gXVBdSF0kXNRcXFvYW3BbMFsQWvBarFo8WbBZHFigWDxX9Fe0V2xXFFasVjBVrFUwVMhUhFRsVGxUgFSEVGhUJFOsUvxSHFEMT+BOuE2sTNBMKEukSyhKoEoESWRI1Ef4R4xHMEbURnhGIEXQRZRFbEVcRVBFREUwRRBE6ETERKREjER8RHBEaERkRGhEgESwRPxFVEWwRfxGPEZsRqBG3EcgR1xHgEeAR1xHLEb4RtRGwEasRpRGbEYoRchFRESoRABDaEL0QqxCfEJEQexBZEDEQCQ/oD9EPwA+vD5oPfw9hD0EPHw76Ds8OnA5kDigN7g22DYQNWA02DR4NEQ0NDQ0NCw0CDPEM1AyuDH8MSgwSC9oLpgt2C0wLKgsQCwAK+gr7Cv8LAwsDCv8K+QryCugK2grECqAKbwowCegJmglKCP8IwAiUCIIIjwi3CPQJOQl2CZoJnAl3CTMI3QiHCD4ICAfhB8IHoQd6B0sHGAbjBq4GdwY/BggF1wWuBY8FdgVeBUQFJgUGBOcEygSvBJUEeQRbBD0EIAQDA+UDxAOgA3oDVwM3AxwDAwLoAssCrgKVAoQCeQJvAl4CQQIXAeUBsgGBAVMBIgDqAKoAZQAh/+b/tf+P/3D/Vf86/x7+/v7Z/rD+gv5U/ij+Av3e/br9kf1j/TL9A/za/Lj8m/yA/GX8S/wy/Bz8B/vv+8/7pfty+zX68vqt+mr6MPoE+ez56vn7+hv6Rfp1+qb60vrx+vj63/ql+lP5+fmo+Wv5P/kd+Pb4wviC+Dv39fe093n3QfcJ9tL2n/Z09lH2N/Yj9hX2DPYL9hD2F/Ya9hL1//Xh9cD1oPWG9XD1WvVC9SX1BvTl9Mf0rPSV9ID0a/RV9D30I/QI8+7z0/O385TzavM58wby2PKz8pjygvJs8lHyMfIO8enxw/Gb8W/xQvEX8PLw1vDB8K/wnPCF8GzwUvA78CbwFPAD7/bv7u/r7+7v8+/27/Pv6e/X77/vpO+M73rvce9s72bvWu9J7zXvJ+8l7y/vPu9M71fvYe9v74XvoO+779Dv3+/u8AfwL/Bj8Jrwx/Dj8Ozw5vDY8MPwpvCB8FbwKvAC7+Lvy++576vvnO+K73LvUu8t7wju8e7w7wzvPe9576/v1e/r7/bwAPAQ8CbwPvBV8Gnwe/CP8KjwyPDs8RDxL/FH8VfxYvFs8XfxfvF88WjxQvER8Obwz/DU8O7xC/EY8Qfw1/CW8FLwGe/y7+Lv7PAT8FnwuvEo8Y/x4PIT8i7yQvJf8ovyx/MI80jzg/O78/T0L/Rr9Kf04PUY9VP1kPXQ9gz2QPZt9pT2vPbo9xr3T/eE97f36vgf+Fr4mvjb+Rn5U/mJ+cL6AfpH+pH62fsc+1n7lvvX/B/8bfy6/P/9Ov1s/Z/92f4i/nn+2f88/5r/8QBAAIkAzgEQAU4BhgG3AeQCDgI3Al4CgQKdArACugLCAs4C4QL9Ax8DQwNoA4oDrAPOA/EEFAQ5BF4EgwSoBMsE7gUSBTsFawWiBd0GFAZBBmIGewaSBq8G1gcDBzIHWwd6B4sHkQeNB4IHcQdfB00HPwc2BzMHNwdBB1MHbQeLB6gHwQfPB9MH0gfRB9UH3QfkB+MH0we1B5IHcQdcB1MHUgdTB04HQwczByMHEwcCBuwG0QawBo8GdAZlBmEGaAZ1BoQGkwahBrAGvwbRBuUG+wcSBysHQwdYB2gHcQd2B3gHfQeFB5IHoQexB78HzQfdB/EIBwggCDgIUAhqCIgIrAjQCO8JBAkPCRQJGQklCTYJTQlmCYIJownDCdQJuQlSCIoHYwX5BHoDFgHrAQUAXv/q/6j/nP/LADQAxAFdAeQCRgKCAqcCxALkAwwDMwNUA2kDcgNxA2kDXQNQA0QDOgM0Ay4DJgMVAvsC1gKqAngCQgIKAdIBmwFlATMBAwDTAKMAcgA9//3/rf9H/s3+UP3m/af9n/3C/fv+L/5V/nv+vf8z/9sAkgEkAWMBQwDhAHQANAA+AIoA9wFfAawB3QH9AhYCIwIaAfEBqQFWARIA8wEBATEBbgGiAcMB0QHUAdkB5wH/AhsCNQJDAkECLwIRAe0BxwGhAXoBTgEcAOYAsQCFAGoAYwBqAHIAbQBPABT/xf9v/yb+8/7X/sn+uv6k/ob+bP5i/nD+m/7d/y7/iP/qAFEAuwEjAYIB1QIdAl8CnQLbAxUDSANwA44DpgO8A9QD7QQGBB0EMgRGBFgEZwRyBHYEdgRzBHAEbgRsBGYEXARPBD8ELgQdBAoD9QPgA8sDuwOuA6QDmgOOA4IDeANxA28DbANlA1cDQgMrAxYDBALzAuACyQKuApMCegJnAlYCRAIxAhoCAgHtAdoByQG3AaUBkQF8AWUBTAEuAQ0A7ADOALQAngCHAG0AUAAzABf//v/l/8r/q/+J/2f/Rv8m/wL+2v6u/oL+W/47/h/+Av3f/bb9i/1k/UP9J/0M/PD80fyz/Jb8e/xf/EH8IvwE++n70Pu2+5f7dftW+0D7NPsv+yj7GfsD+u363frY+tX6y/qz+o36ZPpH+jz6Q/pS+l76YPpZ+kz6QPo4+jT6Mvow+i/6Lvou+jH6OfpI+l36d/qO+qD6rfq++tj6/vsq+1D7Yfta+0D7IfsJ+vz68/rl+sv6qvqM+nn6dvp6+nr6cPpb+kL6Lvok+iP6Jfok+iD6GfoT+g/6DvoP+hj6LfpV+pL63vsp+2L7dfta+xH6qfo0+cX5a/kp+Pz42/i/+Kb4kPiC+Hz4e/h7+HX4bfhl+GX4bPh3+Hz4dvhk+Ez4OPgt+Cf4IPgQ9/X30/e095/3lfeR9473h/d+93b3cPdu92r3YvdV90P3LfcU9vj22/bC9rD2qfao9qP2j/Zh9hb1t/VS9Pb0rPR49Fb0P/Qq9BTz+fPY87XzkvN0817zU/NR81TzWfNc81zzWfNT80vzP/Mt8xXy9/LW8rbymPJ+8mPyRvIm8gTx4vHF8azxmPGD8WnxSPEg8PTwyPCd8HTwTvAr8A3v9O/h79Dvv++t75vvj++M75Lvnu+s77Xvt++z76nvmu+G723vU+8+7zDvLe8z7zzvQ+9G70fvSO9L703vTO9F7znvLe8m7ynvN+9P727vke+279vv/vAe8DzwWfB78KPw0fEE8TnxbvGi8dbyB/I08lzyf/Kj8svy+fMr81vzgvOf87XzzfPr9BT0Q/R19Kb01vUH9T31e/XC9hH2ZvbA9xj3afew9+n4Ffg4+Ff4c/iO+Kf4v/jZ+Pf5Gfk8+V/5ffmX+bD5zfny+h36TPp7+qn62fsP+077lfvf/CT8YPyR/L387P0l/Wz9v/4Z/nX+0f8q/4D/0AAYAFYAjQDGAQ4BbAHiAmoC8wNyA9sELwRyBK0E5AUcBVMFiwXGBgcGTgadBvEHSQejB/oISQiKCLgI0wjfCOYI9QkSCT4Jdwm2CfcKOAp8CsMLDgtZC6ML6gwuDHAMswz2DTkNeQ25DfoOPg6EDssPEA9RD44Pxw//EDkQdxC4EP0RQhGIEcwSDRJJEn4SrBLVEvwTJRNTE4gTwBP3FCkUVhR+FKQUyRTvFRUVOhVhFYoVtBXgFgoWMRZWFnkWnhbEFucXBRcdFzQXUBd2F6YX2RgFGCMYMhg3GDwYRRhUGGEYaRhoGGAYVxhQGE0YSxhJGEkYSxhQGFUYWRhXGE8YRxhEGEkYVxhpGHgYfhh8GHUYbhhtGHAYchhrGFgYORgYGAAX9xf8GAEX+RfZF6MXYhcmFvkW3BbHFq8WkxZ4FmMWXBZeFmQWbhaAFqQW4xc4F5EX1xf3F+8XzxeqF5AXhBd9F3EXXxdKFzwXORc/F0MXOxclFwYW5xbQFsAWshafFoIWXhY4FhcV/BXlFc8VtBWUFXEVURU4FSsVKBUsFTAVMBUnFRQU+RTZFLQUihRWFBkT1RONE0sTExLnEsUSpxKIEmYSQhIeEeYRzhG4EaMRjhF4EWURVhFPEU0RUBFUEVURVRFVEVURVhFYEVcRUhFJEUAROhE/EU8RaxGNEbIR0xHvEggSHhIyEkESSRJGEjoSKRIXEggR/BHzEekR3hHQEcARrBGSEXARSREiEQIQ7BDeENIQwBCkEH8QVxAzEBcQAg/wD94PyQ+yD5gPeQ9WDy8PAw7WDqcOdQ5BDgsN1g2qDYwNfg19DYANgA12DWANQA0WDOUMqwxrDCYL3wueC2YLPgsnCyELJgswCzkLPAs6CzcLNQs4CzwLPAsxCxYK6AqqCl4KCwm2CWcJJgj6COgI8QkSCUYJgQm3CdoJ3gm9CXgJHAi6CGQIIQfyB80Hpgd3B0AHBQbMBpcGZgY1BgQF1QWsBYwFcwVdBUUFKQUIBOcEygSwBJoEggRoBEoEKgQKA+sDywOrA4kDZwNFAyQDBALlAsUCpgKMAncCaAJYAkMCJQH9AdABoQFzAUQBDwDPAIUANf/m/57/Yf8t/wH+2v61/pL+bP5B/hL93/2u/YL9Xf08/Rn87/y+/Iv8XPw0/BX7+fvd+8H7pPuL+3b7ZPtP+zL7DPre+qn6cfo3+f35yfmg+Yf5gPmK+aL5xfn0+iv6ZfqX+rP6qvp7+i350Pl5+TT5AfjY+K34ePg49/T3s/d490P3EPbe9qr2efZN9if2CfXw9d710/XS9dj14fXk9dv1xfWk9YH1YvVL9Tv1LPUb9QT05vTG9KX0h/Rt9FX0QPQq9BTz/PPi88Xzp/OH82LzN/MJ8tzys/KT8nvyZvJO8jDyCfHd8bDxg/FY8S7xBvDj8MbwsvCj8JfwifB48GPwTPAz8Bjv++/f78fvuO+z77nvxO/P79Xv0+/H77Xvoe+S74zvkO+a76PvpO+b747vhO+B74XvjO+P75DvlO+k78Lv6fAP8CjwM/A48EPwXvCG8LLw1fDk8N7wyPCn8H/wUfAf7+zvvu+a74Lvdu9w72zvZ+9d70zvMu8P7uruy+697sPu3e8C7ynvS+9n74DvmO+x78nv4O/28AzwJvBE8GTwhfCj8L7w1PDn8PfxBfEU8STxNfFA8T3xKfEI8Ofw1fDb8PbxGPEt8SjxBPDL8IjwSfAZ8ADwBfAu8Hvw4/FQ8a7x7PIK8hbyJfJI8oLyyvMU81bzj/PD8/f0L/Rq9Kb04vUe9Vv1mPXR9gP2LvZV9n32rPbi9xr3UfeE97b36/gl+GT4pfjj+Rr5TvmE+cD6BvpT+qD66fst+277sPv2/D/8iPzM/Qr9Rf2C/cT+EP5l/sH/If+B/+AAOgCPANwBIAFcAZEBwQHtAhkCRQJxApsCwALdAvIC/gMGAw8DHgMzA1ADcQOUA7YD1wP2BBUENQRXBHwEoQTFBOgFCQUuBVwFlQXXBhkGUQZ2BooGkwaeBrcG4QcZB1QHhgepB7kHuQeuB54Hiwd4B2YHVgdLB0UHSAdTB2cHggefB7wH1AflB/AH9wf8CAEIBQgEB/sH5gfFB58HewdgB1MHUwdaB2EHYAdWB0UHLQcTBvgG2wa9BqEGigZ8BnkGfwaMBpoGqAayBrwGyAbXBuoHAQcYBy0HPgdKB1MHWgdgB2YHbwd6B4gHlwenB7gHyQfcB/MIDQgqCEgIZgiECKIIwAjaCO0I+Aj7CPwI/wkLCR4JOglcCYMJrgnRCdgJpgkeCDMG8QV6A/8CqwGbANQATwAD/+wADgBnAOsBgQIKAnECrgLLAtwC7wMJAyYDPwNNA1MDVQNWA1UDTAM3AxgC+QLiAtoC3gLlAuMC0wK1AowCXwIxAgMB1AGjAXABQAEWAPMA2QDDAKgAfAA2/9D/Uv7N/lT99v24/Y/9cf1b/Vf9ev3P/k3+0v8w/0T/DP6p/lH+Mv5e/sb/SP/FADAAjQDmATkBdQGDAVUA+gCWAFYAVACQAO0BQwFyAXEBTAEcAPcA5QDhAOAA1QC5AI0AUwAR/8z/hv9C/wL+xv6S/mX+Qv4r/iP+KP44/kn+Uf5G/ib99/3G/aL9lf2g/b395P4M/jf+af6r/v3/Xv/EACsAjgDwAVMBtQIUAmgCrwLoAxgDQwNsA5EDsAPGA9YD4gPvA/8EEQQkBDYERgRTBF8EaARuBHAEbgRoBGIEWwRUBEsEPgQvBB0ECQP0A90DxwOwA5sDiAN3A2gDWgNMA0EDOAMyAy4DKAMfAw8C+gLiAsoCtAKhAo4CewJmAk8COAIhAgkB8QHZAcMBrwGeAY4BfgFqAVQBPAElAQ8A+ADgAMYArACUAH4AagBTADcAFP/u/8n/qf+O/3b/Xf9C/yX/B/7n/sX+nf5y/kj+Iv4D/ej9y/2p/YH9WP0y/RH89PzY/Ln8mfx5/Fv8Pvwh/AL74/vG+677mfuB+2L7PPsX+vv67frr+uv65PrS+rn6o/qX+pP6kfqI+nP6V/o6+iL6E/oK+gL5+fnw+en55vno+e358/n4+fv5+/n5+fr6A/oY+jj6Xvp/+pX6nvqk+rL6zvr2+xz7Nfs5+y77Ifsb+x77IPsX+vz61Pqp+on6efpz+m/6Y/pO+jf6JPoZ+hX6E/oN+gX5/Pn2+fP59Pn1+ff6AfoZ+kf6ifrW+x/7T/tW+y361/pn+fH5i/lB+RT4+vjo+Nb4wPir+Jz4lPiT+JL4kfiP+JH4lfia+Jj4ivhw+FL4Ovgs+Cf4I/gX9/733fe996X3mPeT95L3j/eM94n3ifeL94z3ifd/93D3WvdB9yT3Bvbq9tb2y/bH9sD2rPaC9kD17vWV9UH0+vTC9Jf0d/Rc9EP0KfQL8+jzxPOj84vzgPN+84LzhfOD83rzb/Nj81nzTvNB8y3zEvLz8tLysvKV8nryXfI88hjx8/HT8bjxpPGS8X3xYfFA8Rnw8/DO8KzwjPBs8E7wMvAb8Ajv+O/s7+Lv3O/d7+Pv7e/27/jv9O/o79fvwu+r75Hvd+9g70/vSe9N71fvY+9t73Xveu99733vd+9s71zvTu9I70zvXO9175Tvtu/Z7/vwG/A68FjwefCe8Mnw+PEp8Vnxh/G08eHyDPI08lfyd/KY8r3y5vMS8znzWfNx84fzpPPO9AX0RvSK9M31DfVK9YX1wfX/9kP2jfbd9y73eve69+r4C/gl+Dr4T/hj+Hj4jfin+Mn48vke+Ub5Zvl++ZP5rfnR+f36LPpX+n36ovrO+wb7Tfub++b8JvxW/H38pfzZ/Rz9bv3G/h3+bv64/v//Rf+L/9EAGgBsAM8BSQHWAm8DAQOAA+MELQRmBJcEyQT9BTIFagWlBecGMAaABtYHMQePB+8ITQihCOIJCwkdCR8JHgkmCTsJXwmNCcIJ/Qo+CocK1QsmC3ULwAwJDFIMnAzpDTYNfw3EDgUORQ6GDsgPCQ9JD4QPuw/vECIQVxCREM8RERFVEZkR2xIYElAShBK0EuQTFRNKE4ITuhPxFCMUTxR4FJ4UwxToFQ4VNBVaFYIVrBXXFgMWLRZWFn4WpxbOFvEXDxcmFzwXVxd9F6wX3xgNGC4YQRhOGFoYahh7GIgYixiEGHcYbBhoGGwYchh4GHoYeRh5GHkYeRh2GHEYahhnGGoYdBiCGJAYmRibGJkYlxiZGJ4YohieGIwYbRhIGCkYFxgTGBMYCBfnF7EXcBc1FwsW8BbbFsIWoRZ+FmIWUxZPFk8WTxZXFnMWsBcLF3EXxxf0F/IXzRebF3IXWBdKFz8XMhcmFyIXKhc6F0kXSxc7Fx8W/hbgFskWtBadFn4WWRYyFg4V7RXQFbQVlBVyFVIVOBUpFSYVLRU1FTgVLxUaFPsU1xSyFIsUYRQvE/YTthNyEzIS+RLJEqISgBJgEkASIBICEc0RvRGvEaARkBF9EWkRWhFREVARVRFcEWMRaRFvEXgRgxGNEZERjhGEEXgRcRF1EYgRpxHNEfYSHhJFEmoSjBKnErUStBKjEogSbBJTEkISNhIrEh0SDRH8EewR3BHIEawRiRFiET8RJBESEQQQ8xDaELsQmxB9EGYQVRBHEDgQJRAMD+wPyA+fD3YPUQ8wDxIO8g7JDpYOXg4sDgcN9A3vDe8N6Q3YDbkNkw1nDTgNAwzFDH4MMAviC58LbwtWC1MLXQtrC3ILcgtsC2gLbQt5C4kLkguNC3ULSAsMCsMKdAojCdgJmQlsCVMJTwlbCXQJlQm3CdEJ1wnACYkJNwjbCIUIPwgKB98HsQd6BzoG+Qa9BowGYwY7BhIF5QW4BZAFbwVTBTgFGwT5BNgEugSjBJEEgARrBFAELwQOA+4D0gO3A5sDewNXAzADCQLjAsACogKIAnICXwJKAjACDwHoAb0BkQFkATMA+gC0AGIACf+w/13/Ev7P/pT+Xv4u/gH91P2l/XH9Ov0E/Nb8sPyQ/HD8TPwi+/b7zfuq+4v7bftM+yr7Cvru+tj6xfqv+pL6cPpI+h358fnD+ZX5aflF+Sz5Ifkj+TH5S/l1+a758Pov+ln6Xvo7+fX5n/lM+Qb4z/if+G34M/fz97L3d/dD9xX26va99o72XvYw9gf14/XF9bD1pPWi9aj1r/Ww9aX1i/Vo9UL1I/UP9QT0/fT09OP0yfSp9Ib0Y/RE9Cn0EvP98+jz0PO185XzcfNM8yby/vLY8rTylPJ58mLySvIt8gfx2fGm8XTxRfEb8PXw0/C28J/wjvCB8HXwafBc8EzwOvAj8Abv4++975nvf+9w72zvce9774Tvi++O743viu+I74vvle+l77Xvwu/H78jvx+/J783vze/J78Pvxe/W7/nwJvBP8GbwafBh8FvwZPB88JzwtvDA8LXwmPBu8DzwBe/O75zvde9b707vSO9F70HvPO817yvvHu8M7vju5u7a7tbu2u7i7u3u++8O7yfvQu9b727vfe+P76vv0fAA8C3wUPBo8HjwhfCT8KPws/DC8NLw5fD68Q3xF/EU8QrxAPEB8Q/xJ/E78UPxOfEg8Pzw1PCu8I/wgfCN8Lfw+PFC8YHxrPHE8drx/PI28oLy1fMg81/zlPPF8/v0NfRw9Kn04fUZ9VT1kPXI9fj2IfZG9nD2ovba9xT3TPeB97X37fgs+G74r/js+SP5WfmT+dT6HPpm+q368fsx+3L7t/wA/En8jvzM/Qj9Rv2M/dz+NP6Q/u//Tf+sAAsAZwC8AQcBRQF4AaQBzgH6AigCWAKIArUC3gMBAx4DNANGA1UDZgN7A5MDrgPKA+UD/gQWBC8ESwRsBJIEugThBQUFKAVRBYQFwwYIBkgGeQaVBqAGpQazBtIHBQdCB4AHsgfSB94H2wfOB70HqweYB4cHdgdpB2IHYwdvB4UHoAe9B9gH8QgGCBkIKAg0CDoIOQgwCB4IAQfaB64HhQdmB1oHYQd1B4sHlgeQB3kHVgcwBwwG7QbTBr0GrAaiBqAGpgaxBrwGxAbJBs0G1AbhBvMHCAcbByoHMwc6B0IHSwdXB2QHcQd9B4gHlgemB7kHzwfmCAAIHAg8CF8IggijCMAI1QjiCOYI5gjnCO0I/gkaCT0JYgmHCaoJxgnRCbUJWQikB5AGLgSpAzMB+AERAIIAPwA2AF4ArwEfAZ8CGgJ8ArkC2ALnAvcDEAMrAz4DQgM3AygDIQMlAywDKAMQAuQCtAKSAokClwKuArsCtAKYAnACSQIpAhAB9AHQAaIBbwFAARwBAwDyAOEAxwCdAF4ADv+y/1L+9f6e/kv9+v2w/Xj9YP1u/Zf9wf3M/aP9S/zj/JP8fPyj/Pf9Xf3C/ib+k/8N/4r/6wAQ/+3/kv8v/vT+/P9C/6L/7AAC/+D/mf9O/xL+7v7W/r7+mf5o/i397/2x/XP9NPz3/L/8k/x1/Gf8Zfxt/Hz8kvyw/NT8+P0X/S39O/1H/Vz9gP21/fn+Rf6W/uv/SP+tABkAiADxAVABpAHwAjcCfAK7AvMDIgNHA2gDhwOkA78D1QPlA/AD+QQDBA8EHAQpBDMEOwRABEQERwRKBEoESQREBDwEMgQnBBsEDgP/A+4D2gPFA64DmAOCA24DWgNGAzIDIAMSAwYC/gL1Au0C4gLUAsQCsgKeAocCbwJXAkECLgIcAgoB9wHgAcYBrAGTAX0BawFdAU8BPwEqARIA+ADeAMcAsQCaAIEAaABRADsAJwAQ//X/0v+q/4L/X/9D/yz/GP8E/uz+0f6w/ov+YP4z/gj94/3E/ar9jv1u/Ur9JP0C/OL8xPyl/IL8XPw5/Br7/vvh+8P7ovuD+2j7U/s/+yT7A/rf+sD6rfqn+qf6pPqY+oT6cPpg+lj6VPpO+kL6MPoa+gT57vna+cX5sfmf+ZP5jvmQ+Zn5qvnA+dX55vnu+fD58Pn3+gj6Ivo9+lH6Xfpk+m/6g/qf+rz60frb+t/65vr1+wn7GfsY+wH62fqq+oL6aPpZ+k/6RPo2+iX6FfoI+fz57/nh+dT5zPnL+dD52fnh+eb56/n0+gn6L/pm+qf65fsN+w/65fqT+ir5wflt+Tn5IPkV+Qr49vja+L/4q/ii+KD4o/il+Kf4qfip+KP4lPh8+F/4Rvg3+DH4Lvgl+BH39ffV97z3rPel96T3pfel96f3qvet97D3rvep9573jvd49133Pvcf9wb29vbs9uH2zPan9m/2K/Xj9Z31X/Uo9Pf0zPSn9If0avRO9C/0EPPy89rzy/PD87/zuvOw86PzlfOI833zc/Nm81LzN/MX8vTy0vKz8pbyevJb8jvyGvH78eDxyvG28Z/xhfFn8UjxK/ER8Pnw4PDD8KLwfvBd8EPwMfAn8CPwI/An8C3wM/A18DHwJPAR7/nv4O/J77PvoO+P74Tvge+F747vm++n76/vsu+w76nvm++K73fvaO9h72bvde+O76zvze/w8BHwMfBQ8HDwk/C88OrxHPFO8X3xqPHP8fbyHfJC8mXyhfKj8sLy4vMC8x/zOPNQ823zlvPN9BP0Y/S39Qv1WfWg9d72EfY/9m32ofbf9yL3YveZ98H33vf2+A34Jvg/+Ff4bviJ+Kz42PkF+S35Sfla+Wn5f/mi+c/5/fok+kH6Wvp7+qz68PtC+5P72vwR/D38afyf/OT9Nf2J/df+HP5a/pX+1f8b/2r/wwApAKMBMgHSAnUDCgOFA98EIARRBIAEsgTnBR4FVQWQBdEGGwZuBsYHIgeCB+QISQipCPsJNglWCV8JWwlXCVsJbAmHCawJ3AoXCmAKsgsKC2ALsAv7DEQMkAzfDS8Nfg3GDgcOQg58DrcO9A8yD20PpQ/YEAgQORBuEKkQ6BEqEWsRqhHlEh4SVRKNEsUS/hM2E28TphPaFAoUNRRcFIEUphTOFPYVHxVHFW4VlRW9FecWERY8FmYWjxa2FtoW+RcVFy8XTRdyF54XzBf2GBcYLxhDGFkYcxiOGKEYqBihGJMYhhiAGIMYihiQGJMYkRiNGIoYiRiJGIkYiBiHGIgYjBiTGJoYoBiiGKIYoBigGKQYqRipGJ4YhBhgGDsYIRgTGA4YAxfnF7gXfhdHFx4XBBbxFtkWuBaUFnUWYxZZFlIWSBZCFlEWgxbbF0UXpRfdF+AXuBd7F0EXGRcEFvsW9xb5FwMXFhcvF0UXTxdJFzQXFxb5Ft0WwxaoFogWYxY6FhEV6hXGFaUVhhVqFVIVQRU4FTYVOBU4FTEVIRUJFOoUyRSlFH0UThQXE9oTmhNZExsS4RKrEnwSUxIvEhER9xHgEbIRpxGfEZgRjhGAEXERYxFcEV0RZBFuEXURfBGDEY8RnxGwEb0RwhHAEb0RvhHHEdoR8xIQEi4STxJ1Ep8SxxLmEvUS8BLZEroSnBKFEnYSahJdEksSOBImEhkSDRH/EekRyRGkEYARYRFJETURHxEGEOoQ0RC/ELQQrhCpEJ8QjRByEEwQHQ/qD7sPlQ97D2oPWQ8/DxYO4w6uDoMOZw5ZDk8OPw4kDf4N0w2pDYANVQ0iDOEMkww+C+8LsguQC4gLkQufC6YLpQufC50LpAu1C8cL0AvIC6wLgQtLCw8KzgqMCkwKEwnmCcUJsAmjCZwJnAmiCaoJqwmcCXUJNwjrCKAIXwgqB/sHyQeLB0QG/Aa8BooGZQZEBiAF9QXFBZUFagVHBScFCATmBMMEpASOBH8EdARnBFMENwQYA/kD3wPIA7EDlQNwA0YDGQLvAskCqQKOAnUCXAJCAiMB/wHWAasBfwFQARoA2gCLAC//y/9m/wj+s/5p/ib96v20/YP9VP0j/O78tPx8/En8IPv/++P7x/un+4b7ZPtC+yD6+/rV+q/6jfpw+lj6QPol+gT54Pm8+Zv5eflW+TL5Dfjv+Nn4zfjL+NL46PkQ+Uz5lfnb+gr6E/nx+bH5ZPkb+N34qPh2+D/4AvfB94T3Tfce9vT2y/ag9nP2RPYV9en1wPWf9Yf1efV29Xn1ffV89W/1VvU09RD08fTe9NT00PTJ9Lv0ofR+9Fb0LfQI8+nz0PO786jzk/N681vzOvMX8vby1vK58p3ygvJn8kvyLPIH8dzxrPF78UzxIvD78NfwtvCY8H3wZfBQ8D7wL/Ah8BfwDO/97+bvxe+c73LvTu8y7yHvGe8a7yHvMO9D71bvZu9y73zvie+c77Tvze/k7/Tv//AC8ADv9u/m79bvz+/a7/bwHvBE8FvwX/BW8EvwSfBT8Gfwe/CH8IXwdPBU8Cnv9u/E75fvdO9c70zvPe8u7x/vEu8J7wbvBe8G7wjvDO8Q7xLvD+8G7v3u+e8C7xXvLO8870HvP+9E71zvi+/I8APwMPBJ8FbwYfBv8IDwi/CO8IrwivCW8LDw0PDs8Pvw//D+8QDxCfEX8SfxM/E78T3xNfEk8Qnw6/DX8Nbw6/EQ8TnxYPGG8bLx7fI48ory2vMd81XzifPB9AD0QPR89LD03vUO9UP1fvW49ez2GfZB9mz2nfbU9w33Q/d496336Pgo+G34sPjv+Sr5ZPmh+eT6Kvpw+rH68Pst+277svv6/EH8hfzF/QX9S/2Z/fD+TP6r/wj/Zf/CACAAewDNARMBSgF3AZ4BxwH0AiUCVwKHArUC4QMKAzEDVgN3A5UDrgPFA9oD7QP/BBAEHwQwBEUEYASEBK4E2QUDBSkFTwV6Ba8F7QYtBmUGjQakBrEGwAbaBwQHOgdzB6YHzQfmB/IH9AfvB+cH3AfPB8EHsQehB5UHkAeWB6UHvAfXB/IIDggqCEYIXghvCHUIbwheCEIIHAfvB70HkQdzB20HgQemB8sH4gffB8MHlQdjBzUHEAb0BuAG0wbMBswG0AbWBtoG2wbbBt0G5QbyBwQHFQciByoHLwc1Bz8HTgdgB3EHfweJB5IHnQesB8EH2gf1CBIILwhQCHQImAi4CNAI3QjeCNgI1AjbCPQJIAlYCZIJwwnhCekJ2gmsCVMIvAfWBqIFMwO0AlYBRACUAEYASgCHAOkBXAHUAkEClgLMAuUC7QL1AwcDIQM6A0QDOAMdAwEC8gLzAvoC9QLYAqYCbwJKAkQCWgJ7Ao0CgwJeAi4CBgHyAe4B7QHjAccBngFyAUwBMAEYAP4A3ACyAIMAVAAo//3/0P+b/1z/Ev7E/nr+QP4Z/f/94v2v/V388fyA/Cb78/vq+/78HvxE/HX8vP0b/YH90v3u/c39f/0t/P/9Cv1F/Y39vv3C/Zv9X/0o/QT88vzm/NL8svyJ/F/8O/wd/AH75PvH+7D7pfur+8D73fv9/B38P/xo/J383v0k/Wv9rv3t/iz+cP68/w//Z//AABoAdgDUATIBiwHdAiUCYwKZAsgC8wMZAzkDVANtA4UDngO1A8sD3APoA/AD9wP+BAUEDAQTBBgEGgQZBBYEEwQQBA0ECwQHA/8D9QPpA90D0gPIA7sDqwOXA4EDawNXA0MDLgMWAv4C6QLZAs8CxgK8Aq8CngKMAnwCbQJdAkkCMQIXAf0B5wHVAcQBswGdAYQBaQFPATgBJAEUAQUA9ADiAMwAtQCeAIgAcgBaAEEAJQAI/+7/1v+//6f/iv9o/0T/Iv8F/u7+3P7L/rb+nP57/lP+Jv34/cz9pv2G/Wv9T/0w/Q386fzI/Kr8jPxr/EX8Hfv4+9j7vvuk+4f7ZftB+yH7B/ry+t36xPqn+ov6dvpp+mP6XvpW+kn6O/ot+iP6G/oS+gj5+/nt+d35zPm4+aH5iPlv+Vj5Rfk6+Tv5Svlp+ZP5vvng+fP5+Pnz+e/58Pn4+gL6DPoV+h36J/oz+j36RfpO+lv6b/qL+qj6vfrB+rL6lfpx+lH6OPoo+h/6GPoR+gf5+fnm+dD5uvmn+Zv5mfmf+av5uPnE+c751fnb+eP58voP+j36efq2+uH65vq9+mz6Cfms+Wv5S/lB+Tr5KvkL+Ob4xfix+Kn4qfiq+Kj4pPie+Jj4j/iC+HH4YvhW+FD4TPhD+DP4Gvf99+L3z/fE98H3w/fH98330vfW99f31PfP98j3vfes95P3c/dR9zL3G/cM9v/27PbM9p/2avYz9f/1zvWf9W/1PvUO9OP0v/Sh9Ib0a/RR9Dj0I/QR9ALz9PPm89nzzfPC87jzqvOZ84DzY/ND8yLzAvLk8snyrvKU8nryYPJG8i3yE/H58d7xwvGm8Y3xefFo8VfxQfEj8Pvwz/Cl8IPwbvBj8GHwY/Bl8GfwaPBl8FzwTPA08Bjv/e/n79bvyu/D77/vwO/G79Dv3e/p7/Dv7+/n79jvxO+v75vvi++C74Pvje+g77vv2u/78B3wPfBc8H3wofDN8QDxN/Ft8Z7xyPHt8hDyM/JX8nrym/K48tLy6/MD8xrzNPNS83rzrPPs9Db0iPTe9Tf1jfXb9hz2TPZx9pD2tfbi9xb3R/dw94z3ofe499X3+fge+D74WPhz+JH4tvjd+Pz5D/kY+SL5Nvla+Yr5u/nj+fz6D/on+lH6j/re+zL7gPvC+/z8Nfx0/L39Cv1V/Zr92P4T/lT+nv7z/0//swAiAKABMQHPAm4C/gNyA8YEBAQ4BG0EpwTkBR4FVQWLBcgGEQZkBr8HHAd7B9sIPQieCPYJOwlmCXkJewl3CXYJfQmMCaUJygn+CkUKnAr8C1oLrwv5DDwMfwzIDRYNZg2xDfUOMQ5oDqAO2g8XD1QPjA/AD+8QHxBTEIwQyxELEUoRhRG9EfUSLxJsEqkS5RMfE1YTjBO+E+0UFhQ7FF0UgRSoFNIU/RUnFU0VcxWZFcIV7RYZFkMWahaNFq4WzhbuFw8XMxdaF4UXsBfYF/oYFhgwGE0YbhiRGK4YvhjBGLgYqhieGJgYlxiYGJgYlhiSGI8YjhiPGJAYkhiUGJQYlBiWGJkYnRihGKIYohigGKAYpBimGKAYjhhvGEkYKRgWGA4YCBf3F9QXohdtF0AXIRcJFvIW1Ra1FpoWiBZ7Fm4WXBZLFksWaxawFwwXZBebF6IXfxdEFwsW4hbMFsYWyBbQFt8W9xcTFzAXQxdJF0AXKxcPFvAW0hazFpIWbxZHFhsV7hXCFZwVfhVoFVoVURVLFUcVQBU2FScVFBT/FOgUzhSuFIMUTBQNE8gThRNEEwYSyxKRElsSLBIGEekR0xHAEZwRjRGEEX8RexF0EWsRYxFfEWMRaxF1EXsRgBGIEZURqhHBEdcR6BH1EgESEBIiEjYSSBJWEmQSdhKQErMS1xLzEv8S+hLoEtASvBKtEqESkxKCEm0SWRJMEkUSQRI6EikSDRHpEcQRoxGFEWkRTBEuERIQ/RDxEO0Q7xDwEOwQ3xDIEKUQdhBAEAsP3w/BD7IPqQ+cD4IPWg8rDv0O2A68DqMOhw5jDjcOCg3gDb0Nmw1xDTkM7gyWDD4L9QvHC7cLvgvNC9kL3QvcC90L5gvzC/4L/QvsC80Lpgt7C1ALIwrxCrwKiQpbCjUKFAn2CdgJvAmlCZUJiAl3CVgJKQjuCLAIdwhHCBoH5weqB2AHEgbJBowGXQY3BhIF6AW5BYkFXQU3BRcE+ATYBLUElAR7BGwEZgRiBFgERQQqBA4D9QPgA8sDsQOPA2UDNgMIAt4CuQKXAnYCVgI0AhAB6QG/AZIBYwEwAPQAqQBN/+P/cP8A/pv+Rf3+/cH9i/1Z/Sr8/PzM/Jn8Yvwq+/X7yful+4j7bvtS+zL7D/ro+r/6lfpu+kz6Mfob+gb56/nJ+aL5e/la+T75I/kF+OT4wfij+I34f/h5+H74k/jA+Qf5XPmp+dn52/mz+XD5KPjo+LX4iPhX+B333fec92D3Lfb+9tP2qfZ99lH2JPX09cX1mPVx9VX1RvVB9UL1RPVB9Tf1IvUF9OX0yfS09Kj0ofSX9IT0ZvQ+9BHz5fO9853zhfNx82HzUfM/8ynzEvL68uPyzfK38p7ygPJf8jryEvHp8b7xkvFo8T/xGfDz8M7wqfCF8GLwQvAk8Anv8u/h79Xvze/D77Lvlu9y70rvJe8G7u/u3+7X7tnu6O8B7x/vO+9S72Tvee+W773v6fAS8C/wO/A48CjwD+/y79bvwu+978nv4vAC8B/wMvA68DvwOfA58D7wSPBU8FzwXfBQ8DXwD+/k77rvku9s70bvHe717tXuwe667r7ux+7T7uDu8e8D7xLvGe8W7w7vDO8X7y7vRu9R70nvNO8l7y/vWe+a79/wFPA08EbwVfBo8Hnwf/By8FXwOvAw8EDwZPCP8LHwwvDG8MbwyPDR8N/w8fEE8RfxI/El8Rfw/PDg8M7wz/Dl8QvxO/Fz8bPx/PJK8pby2fMR80TzfPO99Ab0TfSI9Lb03fUG9Tj1cfWt9eT2E/Y+9mr2nPbS9wr3QPdz96n34/gj+Gb4qvjq+Sb5Yvmg+eP6KPpv+rT69vs1+3T7tPv2/Dn8ffzC/Qv9WP2r/gT+YP6+/xv/ef/YADUAjQDbARsBTwF6AaIBzQH7AisCXQKMArkC5QMSA0EDcAOfA8gD6gQEBBYEIwQsBDQEPQRLBGAEfQSjBM4E+wUmBU4FdgWjBdcGEgZMBnwGnwa4Bs8G7gcWB0YHdgegB8IH2wfwCAEIDQgUCBUIEwgMCAIH9AfhB84Hvwe5B78HzwfoCAYIKAhMCHAIjwiiCKYImwiCCGAINQgDB9AHoweIB4oHpwfXCAcIJggoCA0H3QelB28HQAccBwIG9AbuBu8G8gbyBu8G7AbrBvEG/gcQByAHLQc0BzgHPQdHB1UHZwd6B4oHlgeeB6UHrwe8B88H5ggBCB4IPQhfCIEIoQi7CMoIzgjICMAIwAjUCQEJRQmVCd0KCgoQCesJmwkjCIAHrAahBWUEDQK+AaAA1QBtAGMAoQEMAYoCBwJzAsUC+QMQAxUDEgMTAx0DLQM3AzQDHwMAAuIC0QLLAskCuwKZAmQCLAIHAgMCHQJCAlkCUQIpAfEBwgGtAbEBwwHQAcwBtwGbAX8BaQFSATQBCQDTAJwAbQBLADgALQAiAA7/7//E/5P/YP8v/wD+zP6L/jf90/1o/QT8sPxx/ED8Gfv5++T74vvy/Av8GfwN++H7pftv+1f7ZfuO+7v71vvX+8T7sPuq+7b7zPvg++j74vvX+9D70fva++X78Pv7/Az8KPxQ/IH8svze/QL9Jf1Q/Yr91f4r/ob+3f8r/3T/ugABAEwAmQDnATIBeQG7AfcCLwJiApACuwLjAwcDJgNBA1gDbQOCA5cDrAO+A80D1wPdA+ED5APlA+UD5gPoA+oD7APqA+UD3APTA8sDxQPAA7gDrgOiA5gDkQOMA4UDeQNoA1MDPgMqAxcDAQLoAswCtAKiApcCjwKFAnUCYAJKAjcCJwIZAggB8gHaAcABqgGWAYQBbwFXATwBIQEGAO4A2ADFALMAogCSAIEAbwBaAEUALwAY////4//F/6b/iv9x/1r/Qf8k/wT+5P7G/q3+mf6G/nH+WP46/hb97v3E/Zv9df1T/TT9Ffzz/M78qfyG/Gf8Svwr/Af74Pu6+5n7f/tn+037LfsI+uT6xPqr+pb6gvpt+lf6Q/oz+ib6HfoU+gr6APn2+e354/nY+c35wvm4+a35ofmS+YD5a/lT+Tj5Gfj6+OH42fjp+RL5TfmN+cT55/n3+ff58fns+ez57/ny+fH56fnc+cz5wvnC+dH57PoK+ib6N/o7+jb6Kvoc+g76Afn3+fL58fnx+e354PnJ+a35kvmB+Xz5gvmL+ZT5mvmh+az5u/nK+df54fnu+gn6OPp4+rj63/ra+qT6TPnt+aH5dvll+V35Tfkt+QP43PjC+Lf4tfiz+Kr4nfiQ+Ij4hfiH+Ij4ifiJ+Ij4hfh8+Gv4Ufgx+BL39/fm99/34Pfn9/H3+vf/9//3+vf09+735/fb98X3pPd991b3OPck9xX3BPbp9sT2mvZy9k72LfYL9eL1svV+9Uz1IvUA9OP0x/Sr9I30cPRU9Dz0KPQa9A/0B/P/8/Tz4vPL87Dzk/N281rzP/Mj8wfy6/LR8rnyovKL8nLyVvI58hzyAvHs8dvxzvHB8a/xlfFv8UHxD/Dh8L3wp/Cc8JjwlvCS8I7wiPCA8HTwY/BM8DHwF/AD7/bv7+/t7+zv7+/28ALwEfAh8CvwLfAl8BbwA+/u79nvxu+376/vr++478vv5PAC8CDwPvBc8HzwofDP8QXxQPF78a/x2/H/8iDyQfJk8obyp/LD8tzy8/ML8yjzS/N186fz3/Qe9GH0qfT49Uv1oPXw9jL2YvaD9p/2vfbj9w33MfdJ91b3X/dx95H3vffq+A/4KPg7+FD4aviI+KH4sfi5+MT42/kD+Tf5bPmX+bT5yPng+gX6PPqE+tP7Ivtt+7T7+/xE/I781v0Z/Vj9mP3h/jf+m/8H/3T/3wBLAL4BQAHNAlwC4ANOA6ID5gQjBGQEqQTsBSgFXAWNBcYGDQZkBsUHKQeKB+kIRQidCOwJKwlTCWcJawlrCW0JdgmECZoJugnrCjEKiwrwC1QLrAv1DDIMbAytDPYNRQ2TDdsOGg5TDosOxg8DDz8PeA+rD9oQChA+EHcQthD1ETIRahGiEdoSFhJWEpYS0xMNE0MTeBOrE9oUAxQmFEUUZBSIFLEU3BUFFSwVUBV3FaIV0RYAFikWTBZpFoUWpBbIFu8XGRdEF3EXnRfIF+4YDxgsGEkYZxiIGKgYwhjSGNUYzRjBGLQYqhikGKIYoRigGJ4YmhiXGJUYlBiUGJMYkBiPGJAYlBibGKIYpBihGJ0YnBidGJwYkhh7GFsYOxglGBwYGxgUF/wX0hedF2oXQRcjFwoW8RbXFsAWrhagFpEWfBZlFlgWYhaIFsIW/RcjFyoXFRbwFs4WtharFqgWqRatFrkWzxbuFxEXLxdAF0AXMBcUFvEWzhatFo8WcBZLFiEV8RXBFZgVeRVlFVoVVRVPFUcVOhUpFRUVAhTwFN8UyxStFIEUSBQEE70TeBM4EvkSuxJ/EkcSGRH1EdoRxBGvEZMRfhFxEW0RbRFsEWgRYhFfEV8RYxFpEW8RdhGDEZcRsxHREe0SBRIbEjMSTxJtEoYSlxKfEqMSqRK2EsoS3xLuEvES7BLhEtcS0BLJEr4SqxKTEnsSaxJmEmoScBJvEmESRxIkEgAR3xHAEaERgRFhEUMRLBEeERYRExEQEQwRBRD5EOYQxhCbEGkQORATD/wP8Q/rD94Pxg+gD3MPRA8YDu0OwA6QDl4OLQ4BDdwNvA2YDWcNIwzPDHcMKgv3C+ML6Av7DA0MGQwfDCQMLAw0DDYMLQwVC/UL0wu2C5oLewtUCyQK8QrBCpgKdApQCicJ+QnMCaUJhAlnCUYJHgjtCLgIhghaCDEIBQfQB4wHPgbrBpwGWAYgBfAFxQWaBW8FSAUmBQgE6wTMBKkEhgRqBFkEVQRXBFcETgQ8BCMECgP0A98DyAOpA4IDVQMlAvYCyAKcAnICSQIgAfcBzQGhAXEBPwEGAMIAbAAC/4j/B/6O/in92/2h/XP9Sv0f/PP8xvyZ/Gr8OfwH+9b7qfuC+2D7Pvsb+vT6yPqZ+mv6Qfog+gr5/vn2+en50fmu+YX5X/k/+SX5Cvjp+ML4mPhz+Fb4Qfgy+DD4RPh5+M35MvmK+bv5uPmG+T349vi/+Jb4bvg89/z3tvdy9zf3Bvba9q72g/ZX9iz1//XO9Zn1ZvU69Rr1CfUE9QX1B/UF9Pz06/TS9LX0mfSC9HL0Z/RZ9EL0IPP288jznfN5813zSPM48yrzHvMS8wXy9/Lp8tvyy/K38p7yffJW8izyA/Ha8bTxjvFo8ULxG/Dz8MvwpPB+8FrwN/AW7/Xv1u+776bvle+E73DvVe817xPu9e7d7sruuu6u7qnur+7B7tzu+e8U7y/vUe9+77jv9fAp8EnwUPBC8CrwEO/47+Pv0e/C77rvvu/Q7+7wEPAt8D7wQfA68DHwLfAy8DvwQfA88CrwDO/p78Pvl+9i7yDu2O6U7mPuTe5N7lvuau5z7nvuhe6X7q3uwe7P7tru6u8G7y7vVO9o72LvR+8s7yfvQ+9577fv6vAL8B7wMPBG8FzwZfBY8DbwEe/67/3wGfBA8GLwd/CB8IfwjvCW8KDwqPCx8LzwyfDU8NbwzvDC8Lrwv/DY8QLxO/F98cXyEvJd8qDy2vML8z3zePO99Aj0T/SJ9LX03PUH9Tr1c/Wt9eD2DfY39mb2mvbU9w73Rfd596735vgi+GP4pPjj+R/5WvmX+dn6Ifpu+rz7BftI+4X7v/v6/Dn8f/zJ/Rj9av2+/hb+cf7Q/zL/lP/0AFEApQDvAS0BXwGKAbMB3QILAjwCbgKfAs8C/QMtA14DkQPEA/MEGgQ2BEYETgRRBFQEWwRoBH0EmQS+BOgFEwU/BWkFlAXEBfkGMQZnBpQGtwbXBvkHIwdTB4EHqAfEB9kH7AgCCBcIKQgyCDMILwgpCCIIFggFB/AH3QfRB9QH4wf+CCAIRQhtCJMIsQjDCMQItgicCHkITwgfB+0HwQepB6wHywf7CCwITAhTCEAIGgfoB7EHewdLBycHEwcNBxAHEgcPBwgHAgcFBxEHJQc5B0cHTgdSB1cHYQdxB4IHkwehB6wHtgfAB8sH1AfdB+gH9wgMCCgISAhpCIcInwiuCLUIswitCKsItAjUCQwJVwmlCd8J7wnICWYI0AgPBywGLAUSA+wCzgHUARoAsgCeANEBNQGuAicCkALgAxUDMQM8Az4DPAM7AzoDNQMqAxUC+wLeAsMCrwKhApECegJUAiEB7QHHAb4B0wH7Ah8CKAIOAdkBnwF3AWsBeQGQAaABogGYAYkBfAFuAVkBOAEHAM4AlQBnAEkAOwA6AEAARABCADYAIAAB/93/tf+I/1H/Df6+/mb+C/20/WL9FfzM/Ij8SvwR+937qvt3+0b7G/sB+vr7Bvsc+zH7PftB+0b7U/tx+537zPv4/Bj8L/xE/F38ffyj/Mv89f0h/VP9jf3N/gz+Q/5s/or+pf7G/vj/Ov+I/9oAJgBnAJ8A0QEDATkBcwGuAeYCGQJEAmgChwKjAr8C3QL8AxkDNQNMA2EDdQOIA5oDqgO1A7wDvwPCA8MDwwPAA7sDtQOyA7MDtAO0A64DogOVA4kDgQN7A3MDaQNdA1MDTgNMA0kDQgMzAyEDDQL8AusC1wK9AqAChQJwAmMCWgJQAkACKQIQAfkB5QHUAcIBrwGZAYQBcAFcAUYBLAEPAPEA1wC/AKoAlgCBAG8AXgBPAD4AKwAV//z/5P/O/7j/of+H/2n/Sv8s/xH+9/7b/rz+nP59/mL+Sf4x/hr+Af3m/cr9rP2L/Wj9RP0h/P/83fy5/JH8afxD/CL8Bfvq+8z7qfuE+2D7Qvso+xD69PrU+rH6kPpy+ln6RPoy+iD6D/n/+fD54vnU+cn5v/m3+bD5qPmg+Zb5i/mA+Xb5avle+VP5SPk7+Sn5C/jh+LD4hfhv+Hn4pvju+UL5kvnP+fX6CPoO+hD6EfoO+gH55fm9+ZH5cPlj+W35iPmm+b75y/nQ+dP51/nb+dz52fnU+dP52fnh+eX52/nE+af5jvmC+Yb5kfma+Zr5k/mO+ZP5pvnB+dn56Pnw+f36G/pP+o/6w/rV+rj6cvob+cz5l/l8+W75W/k8+RX48Pja+NL41PjT+Mr4uPil+Jn4lvie+Kv4ufjG+M740PjI+LX4lvhw+En4JvgM9/73/PgE+BH4Hvgl+CX4H/gY+BP4EPgK9/r33Pey94b3YPdF9zH3HPcC9uD2u/aa9oD2a/ZV9jb2DvXf9a/1hPVe9Tz1GfT09M30p/SF9Gr0VvRI9D/0N/Qv9CL0D/P4893zwvOo847zdPNX8zfzFvL18tjyvfKj8onybvJU8j7yLvIk8h3yFPIE8erxxfGW8WTxMvEG8OXwz/DC8LrwsvCo8J3wkfCF8HjwZ/BT8DzwKPAa8BPwEvAS8BPwFfAb8CjwPPBR8GTwbfBt8GTwVvBD8C7wFu/+7+vv4O/f7+nv+vAP8CbwPPBV8HLwl/DF8PvxNvFy8ajx1/H+8iHyQvJj8oTyo/K/8tjy8vMQ8zbzZPOZ89L0DfRJ9IX0xvUM9Vj1p/Xv9ir2VPZw9on2p/bN9vT3E/cj9yX3Jvcx90/3evek98T30/fZ9+H38/gO+C34R/hc+HH4jfi0+OX5F/lB+WL5fvmc+cX5+/o8+oX60Psc+2n7t/wE/E78k/zV/Rn9af3K/j7+vf8+/7UAIACDAOcBVAHNAkwCxQMvA4gD1AQbBGMEqgTsBSQFUwWBBbkGBQZlBtUHSAe3CB0IdgjDCQAJKwlCCUgJRQlCCUYJUQllCX8JownVChsKdArYCzwLlQveDBsMVQyUDNwNKw15DcIOBA5ADnsOtw70DzAPZw+ZD8gP+BAsEGcQpBDiER4RVhGNEccSBhJIEooSyBMBEzcTaxOeE88T+RQcFDoUWBR6FKEUyxTzFRcVORVeFYoVvBXtFhgWORZVFm8WkBa3FuMXEBc8F2gXlhfEF/EYGBg3GE4YYxh5GJQYsRjLGN4Y5RjiGNcYyhjBGLwYuxi7GLoYtBitGKUYnxibGJYYkBiJGIYYiBiPGJkYnhicGJUYjxiNGI4YjRiCGGsYThg1GCcYIhgeGA8X7he/F40XYBc8FyEXBxbtFtUWwBawFqAWjhZ4FmUWXBZhFnIWhRaSFpQWjhaHFoUWiRaNFo0WihaJFpEWqBbMFvYXGxcxFzIXIRcCFt0WuhacFoIWZxZIFiAV8xXFFZ0VfxVrFV0VUhVGFTcVIxUMFPUU3hTMFLwUqRSOFGcUMRPzE7ITcRMyEvMSsxJ1EkASFhH4EeARyBGuEZQRfhF0EXURexGAEX4RdxFtEWURYBFeEWMRbxGFEaQRxxHoEgQSGxIzElAScxKYErgSzhLaEt8S5BLqEvAS8hLtEuQS2hLWEtgS3RLcEs8SthKYEn0SbxJxEnwSiBKKEn8SaBJKEi0SERH3EdwRvxGhEYURbBFXEUURNBEmERsRFREUERIRCBDxEMwQoBB1EFQQQRA5EDIQIxAFD9kPog9lDyYO6Q6sDnEOOQ4IDd4Nug2WDWkNLQziDJIMSwwcDAoMEQwnDD4MTwxaDGIMagxwDHAMZQxODDIMGAwDC/AL2Au1C4ULUAsdCvAKyQqhCnIKOwoACccJlglsCUcJHwj0CMQIlQhoCEEIGwfxB7oHdAcfBsQGawYfBeEFsQWIBWIFPgUcBPwE3AS7BJgEdQRXBEYEQgRHBE4ETgRCBC4EFQP+A+gD0gO3A5QDagM5AwQCzwKaAmcCOAILAd4BsQGAAUsBEgDRAIIAIf+r/yb+nv4k/cb9hf1d/UD9Ivz+/NP8pvx6/E/8Jfv5+877o/t5+1H7KPr8+s76nvpu+kL6HvoH+fz5/Pn++fv56/nO+av5ifls+U/5LfkA+Mr4k/hi+Dr4G/gC9/b4BPg5+Jb5B/lq+aD5m/ll+Rr41/im+IP4W/gh99b3hfc99wP21/aw9of2XfYw9gP11fWg9Wj1MPUA9N/0z/TM9M700PTO9MX0tPSa9Hv0W/RB9C/0IvQU8/7z3fO084nzY/NG8zDzH/MR8wTy+fLu8uTy1/LK8rzyrPKa8oLyZPJB8hvx9vHU8bLxkPFr8UTxG/D08M7wqvCI8GjwSPAm8APv3e+275LvcO9S7zXvFu737tvuxO6y7qPulO6E7nfuc+577o3upu7D7uPvDO9B73/vu+/o7/zv+O/o79vv2u/n7/jv/+/47+bv1e/S7+TwBfAo8EDwRfA68CrwH/Ac8B3wGPAH7+zvzu+176Dvhe9W7w7utO5d7h/uBe4L7h7uLO4s7iLuGO4Z7ifuPu5W7m/uje647uzvIe9H71bvTu897zbvRO9l747vsO/E79Dv3e/x8AvwH/Ak8BjwBO/27/fwB/Ad8DDwPfBI8FTwZfB08H7wf/B68Hfwe/CG8JPwnvCl8K7wwPDe8QnxQfGD8cvyGPJi8qTy3PMN8z7zd/O69AH0RPR+9K/03vUQ9Uj1gfW29eT2DfY39mj2ofbe9xv3U/eI97v38Pgp+Gb4pPjh+Rz5VvmS+dT6Hfpt+r77C/tP+4v7wvv8/D/8ifza/S39f/3S/ij+hP7l/0r/rgAPAGkAugEBAT4BcAGbAcMB6wIYAkoCgAK3Au0DIANQA4ADsQPjBBUEPwReBHAEdQR1BHYEewSIBJsEtQTWBP0FJwVVBYIFsQXjBhcGTAZ+BqoG0Ab2Bx8HTQd9B6YHxAfZB+wIAAgYCCwIOAg3CCwIHwgWCBIIDggFB/gH7AfpB/MICQgoCEoIbgiRCLAIyAjUCNQIxwixCJMIbQg/CA8H5QfPB9QH8QgcCEQIXghmCFwIRggkB/cHwQeKB1wHQQc4BzkHOQc0ByoHIwcoBzkHTwdiB2wHcAd0B34HjwekB7YHwQfIB88H2wftB/8ICwgRCBMIFwgkCDoIVQhwCIUIkgiZCJ4IowiqCLgI0Aj2CSsJZgmWCaQJewkRCGkHjwaWBYsEfANyAn0BsAEdANEAzgEHAWcB2AJHAqYC7QMcAzYDQwNJA08DVANVA0sDNgMYAvcC2AK9AqUCjAJxAlQCNAIPAeQBtQGLAXYBfwGlAdcB+wH6Ac8BiAFBARMBCQEdAT0BVgFfAVkBTQFBATcBKQESAO8AwQCQAGQARQA3ADkARwBXAGEAYQBWAEUAMQAdAAb/6P++/4X/Qf73/qv+Yf4Z/c/9gv0z/Ob8n/xl/Dv8IfwU/BD8EfwT/Bf8HPwm/Db8UPxz/J38yfzz/Rr9P/1k/Y39uv3q/h7+Vf6Q/tD/E/9W/5H/vv/c/+3//AASADUAaACmAOUBHQFLAW0BiQGlAcUB6gISAjsCYAKBApwCsgLGAtoC7wMGAx0DMwNGA1cDZwN1A4EDigOOA5ADkQOTA5cDmAOWA44DhQN9A3kDdwN1A24DYQNSA0YDPgM5AzQDKgMeAxMDDAMKAwoDBQL7AusC2wLLArwCqwKUAngCWwJDAjICJwIdAg0B+AHgAcYBrgGXAYEBbAFYAUUBMgEeAQYA6ADJAKsAkwCAAHAAXwBNADkAJgAVAAP/7P/R/7P/mP+A/23/W/9F/yn/Cf7o/sn+q/6N/m/+Uf4z/hf9+/3e/cD9o/2I/XD9Wf1A/SL9APzc/Lr8mfx3/FP8K/wD++D7w/uq+5L7dftS+y37Cvrs+tL6ufqe+oD6YfpC+ib6D/n7+ev52/nM+bz5q/ma+Yr5fvl1+XD5bPln+WD5VvlK+T35L/kj+Rv5Gfkb+Rr5DPjr+Lf4d/g8+Bn4G/hI+Jn4+/lc+az55foI+h/6Lvoz+in6CPnR+ZH5Wfk5+Tf5Svll+Xz5ivmU+Z/5q/m2+bn5tvmy+bX5wvnW+eT54vnP+bP5nvmY+aP5svm7+bX5pfmV+ZL5oPm7+df56fnx+ff6CPot+mD6k/qv+qX6dfou+eX5rPmI+XL5XvlF+Sb5Cvj6+Pj4//kF+QT4+fjq+N341/jZ+OL48fkC+RH5GPkS+P743fiz+If4YPhC+C/4Kfgt+Dj4RPhL+Er4Qvg6+Db4OPg4+DD4Gff098n3n/d992L3Rvcm9wD22va69qP2lPaF9m/2T/Yp9f/11/Ww9Yj1XPUu9P701PSx9Jf0hfR39Gv0X/RS9EP0MvQc9APz5/PK86zzjfNt80nzJPL/8tzyu/Kd8oLyavJX8kzyR/JH8kXyO/Il8gHx0vGf8W7xQfEb8P3w5fDT8MTwuPCs8J/wk/CG8HjwaPBX8EfwO/A18DfwPfBD8EjwS/BS8GDwdfCN8KHwrvCx8KzwovCS8HzwYvBF8CvwG/AV8BnwI/At8DjwRPBV8G3wjvC48OrxIPFZ8ZHxxPHw8hfyOvJb8nrylvKw8svy6PML8zbzafOh89v0FvRR9I70z/UU9Vz1ovXg9g/2MPZG9l32fPak9s327vb99v32+/cC9xr3Pvdf93P3dPds92n3dveX98T38/gd+EH4YviF+Kr4z/jx+RH5M/la+Yv5xvoH+k36lfrf+yz7efvF/A78VPyf/PT9Xf3a/mj++v+E//wAYgC7ARMBcgHcAk0CvgMlA4AD0AQZBF0EnQTWBQYFMQVhBaAF9wZmBucHbwfxCGUIwwkJCTYJSwlKCTsJJwkXCRQJHgk1CVYJggm5Cf8KUwqvCwsLYAurC+4MMQx4DMQNEw1gDagN6g4pDmgOpg7kDx8PVQ+GD7YP6BAdEFYQkhDOEQgRQBF5EbUR9RI4EnsSuhLzEygTXBOOE78T6xQQFDEUUxR4FKEUyxTxFRAVLRVNFXQVpBXVFgIWJxZHFmgWjxa8FusXFxc/F2UXjhe9F+8YHRhBGFkYZxhzGIQYnRi7GNkY8Bj7GPsY8hjmGN0Y1xjVGNMYzhjHGL4YthiwGKgYnRiRGIUYgBiDGIsYkhiTGIwYgxh9GH8YhBiEGHcYXhhAGCcYGBgPGAQX8BfQF6gXfxdZFzcXFxb3FtgWvhapFpoWixZ6FmcWVBZDFjYWKhYfFhkWHBYrFkIWWhZqFm4WahZoFnMWkBa8FusXERciFx0XBhbmFsYWqRaSFnwWYxZDFhwV8hXKFagVjRV2FWIVTBU2FR4VBRTsFNIUuhSlFJMUgBRmFEIUFBPdE6QTaxMwEvMStBJ3EkISGxH+EeYRzRGwEZgRiRGHEY4RmRGgEZ8RlxGJEXoRbRFmEWkReBGUEbcR2xH6EhISJxI/El4SgxKpEskS4BLxEv4TCRMRExETBhLyEtwSzhLNEtgS5RLqEt4SwxKgEoIScRJvEnYSfxKBEnoSbRJdEk0SPRItEhcR/hHiEcYRrRGWEYARahFWEUYRPRE7ET0RPBEzERsQ+RDQEKsQkBB/EHQQZRBKECAP5g+hD1gPEA7KDokOTQ4WDecNvQ2SDWINJQzeDJQMVQwsDB8MLAxGDGIMeAyHDJIMnQymDKkMowyTDH8MawxZDEgMMQwNC94LpwtwCz4LEArgCqoKbAoqCekJsAmACVcJMQkJCN0Irgh+CFIIKwgEB9cHnAdPBvQGlgZABfoFxQWcBXcFUAUnBP4E1gSvBIoEaARLBDoENQQ8BEYETARGBDUEHQQDA+oD0gO4A5kDcAM/AwgCzAKRAlkCJAHzAcMBjwFXARkA1ACGACr/vf8//rf+NP3E/XT9RP0s/Rz9B/zp/MH8lPxo/D78FPvp+737kftk+zj7C/rf+rT6jPpo+kn6Mfog+hn6Gvoe+iD6GfoI+fD51fm4+ZT5Y/kj+Nr4k/hW+Cj4BPfn99X33fgN+Gj43PlF+YH5gPlM+QT4w/iV+HD4Qvf996X3S/b/9sn2pPaE9l/2MvYA9c71mvVk9Sz09fTI9Kv0nfSb9J30nfSa9I/0ffRh9ED0HPP/8+zz4fPX88XzqPOC81rzN/Mc8wfy9/Lo8tvyz/LE8rjyqPKW8oPycvJi8lHyO/Ig8gHx4fHB8aHxf/Fb8TjxFvD38NrwvvCh8IPwY/BC8B3v8+/E75TvZu887xfu9+7b7sPur+6d7ovud+5g7kzuQe5E7lXub+6N7q7u0+787ybvSe9a71bvRu8470DvZe+h7+HwDvAc8BDv+e/r7/LwCvAm8DfwNvAo8BnwEfAP8Ajv8O/F75PvbO9f72jvdO9p7zju5u6L7kPuH+4d7ivuNO4t7hft/+3w7fDt++4N7iHuOe5Z7oPute7m7wzvJe8z7zzvR+9Y72nvde9673vvf++L76Dvue/O79zv4+/p7/Hv+vAC8AbwCfAS8CLwOvBS8GPwZ/Bi8FzwXfBl8HPwhPCV8KjwwfDh8QrxPfF58b/yDPJY8p7y2PMI8zfzbfOs8/H0N/R29LD05/Ug9Vr1kfXD9e32FvZE9nn2tvb19zH3aPea98v3/vg0+G34qPjj+R35V/mT+dL6Fvpg+q369/s8+3r7ufv8/Ej8m/zw/UT9lf3n/j7+mv78/2D/wQAdAHQAxAEMAUoBfgGpAc8B9QIhAlUCjwLMAwUDOQNnA5MDwgP1BCsEXASBBJYEnQSbBJoEnwSsBMAE2gT5BR8FSgV5BakF2AYHBjUGZAaSBr4G6AcTB0AHbAeWB7cHzwfhB/QICggfCC0ILAgdCAcH9gfvB/IH9wf7B/sH/ggLCCMIQwhlCIUIoQi6CNAI4AjnCOUI2wjJCK8IighbCCcH/QfrB/cIGQhDCGQIdAh0CGwIYQhQCDMICQfVB6QHggdxB2oHZAdZB0sHQwdGB1YHagd7B4UHiweUB6UHvAfRB94H4wflB+wH/QgXCDAIQQhGCEQIQwhICFUIYwhuCHMIdQh8CI8IrQjUCP0JJQlMCXAJiQmGCVEI2wggBy0GGAT7A+kC7wIXAW4A/gDSAOgBMgGbAgwCdALIAwgDMwNKA1IDUQNPA1EDVQNVA0gDLQMHAuECwgKqApMCdQJOAiMB+wHWAbEBhgFXATEBJQE+AXQBqgG/AaABUgDvAJ4AegCIALUA5gEFAQsA/gDrAN4A2gDZANMAwQCiAHwAWQBCADkAPgBKAFcAXgBfAFwAVgBRAEwARAA2AB3/+v/P/6D/bv89/wr+1f6d/mb+Nf4O/fL94P3T/cb9uf2x/bL9vP3P/eb9/v4W/i3+R/5j/oL+o/7F/uj/Dv83/2T/lf/KAAIAOQBsAJUAsQDAAMYAzADZAPQBHAFOAYABrAHNAeQB9AIBAhECJQI+AlgCdAKPAqgCvQLQAuIC8gMDAxQDJAMyAz4DSANRA1gDXANdA10DXQNgA2UDaQNoA2EDVwNLA0IDOwM0AyoDHAMOAwMC/AL5AvUC7QLhAtQCzALJAsgCxgK/ArICowKUAoUCdQJgAkcCLQIVAgIB9AHoAdkBxgGwAZcBfgFlAUsBMgEaAQUA8QDcAMQApwCKAG8AWQBJADkAKAAT//z/5v/S/73/pv+K/2z/T/82/yL/D/75/t7+vv6d/n3+Xv5B/ib+C/3y/df9uv2Z/XX9Uf0x/Rf9Afzo/Mr8p/yC/GH8RPwo/Ar75/vB+537fvtm+1H7OPsZ+vb60vqx+pX6e/ph+kf6KvoP+fT53fnJ+bf5p/mX+Yb5dfli+VH5Q/k6+TT5Mfks+Sf5HvkT+Qb49/jr+OP45Pjs+Pf4/fj0+NT4nvha+Bn37vfp+A/4Wfi1+RH5Xvmc+c/5+/oe+i/6Ivn2+bP5bfk5+SD5H/ks+Tz5S/lb+Wz5fvmJ+Yn5gvl9+Yb5n/nB+dz54/nU+bz5qPmm+bP5x/nT+c/5wPmu+aT5qPm4+cv52/nk+ez5+PoS+jf6Xvp5+nv6Xvoq+e35tvmQ+Xj5aflZ+Uf5NPkn+SL5Jvkv+Tn5P/lB+T35N/kw+S75Mvk8+Uj5TvlI+TP5Evjr+MT4o/iJ+Hb4bPhp+G34dPh3+HP4afhd+Ff4WPhb+Fn4Svgt+Aj34ve/95/3fvdY9y73Bfbk9s/2wfa19qP2iPZm9kD2GvXy9cb1lPVf9S31AvTi9Mz0u/Sr9Jj0hPRw9Fz0SfQy9Bfz9vPS86/zjfNt803zKvMG8uDyu/Kb8oDybPJf8lnyV/JX8lPyRPIo8f/xz/Gg8XbxUvEz8RXw+fDg8MvwvfCy8KnwoPCV8IrwffBx8GbwYPBg8GbwcvB/8IvwlfCf8K3wv/DQ8N7w4/Dg8NjwzPC+8KrwkvB38GDwUfBN8FDwVPBX8FfwWvBk8HjwlPC38OHxD/FD8Xrxr/Hh8gryLvJM8mjygvKc8rfy1vL78yTzVPOH873z9/Q09Hb0u/UC9Ub1hfW79eX2BfYf9jz2XvaH9q/2y/bX9tT2zvbS9uX3Bfck9zT3Mvck9xv3I/dF93v3uff2+Cn4U/h0+JD4qfjC+N75Afku+WT5oPni+ib6bvq4+wT7Ufua++L8LPyC/Oz9bf4E/qT/QP/MAEAAoQD1AUgBoAIAAmYCygMpA34DyQQMBEYEewSrBNkFCwVGBZIF9AZuBvoHjwggCKAJBQlJCWwJcAlcCTsJFgj5COoI7wkFCSwJXwmdCeQKMQqCCtMLIQtsC7cMBAxUDKYM9Q1ADYUNxw4JDksOjQ7NDwgPPg9xD6MP1hAMEEQQfRC2EO8RKBFjEZ8R3xIgEmESnxLYEw0TQBNyE6IT0BP6FCAURxRxFJ4UyBTtFQoVIhU7FVwVhRWzFeEWCxYzFl4WjRbAFvEXGhc8F1oXfRepF94YExhCGGMYdxiEGJAYoRi6GNgY9hkNGRcZFBkIGPgY6xjjGOAY3hjbGNUYzxjIGMEYtxipGJkYjBiHGIoYkBiTGI4YhRh9GHwYghiIGIUYcxhUGDEYFRgEF/sX8BffF8MXnxd2F00XJRb+FtsWvhanFpYWhxZ3FmQWThY2Fh0WBBXvFeMV5xX7FhsWPBZTFl0WXhZhFnMWlxbIFvYXFRccFwwW7xbPFrQWoRaQFnwWYBY8FhIV6RXFFacVjRV0FVgVOxUgFQYU7xTZFMMUrhSaFIcUcRRVFDAUARPOE5oTZxM0Ev4SxRKLElcSLBIJEesRzRGwEawRoBGeEaMRqRGrEakRohGXEYoRfRF2EXkRiBGiEcAR3RH2Eg0SJhJEEmgSjBKpEr8SzxLgEvUTCxMbEx0TDhLzEtcSxxLIEtgS7BL3EvES2RK2EpISdhJlEl4SXRJdEl4SYBJjEmUSZBJbEkgSLBINEe4R1BHCEbYRrRGlEZoRjBF9EW4RXhFOEToRHxEAEN8QwBCnEJQQghBqEEYQFg/ZD5UPTw8KDsgOiw5UDiIN8g2/DYMNPAzsDJwMWgwxDCYMNgxWDHkMmAyvDMAMzgzZDOAM4AzXDMkMuAymDJEMdgxQDCEL6wuyC3oLQgsICssKiwpICgcJywmXCWsJRQkiCPwI0giiCHAIQAgSB+QHrwdsBxwGxQZyBi0F+AXQBaoFgQVTBSEE8ATCBJgEcwRTBD0EMwQ2BD8ERwRHBDsEJAQIA+sDzwOzA5MDbAM8AwMCxAKEAkYCDAHUAZ0BYgEgANYAgwAl/7z/Rv7H/kf90f11/Tf9GP0L/QT89/ze/Lv8kvxl/DX8A/vO+5j7ZPsy+wL61fqt+oz6c/pi+lX6Svo++jX6Mfoz+jf6Ovo0+ib6D/nt+b75fPkp+M74ePg1+Ab36PfR98P3yPfy+Eb4tfkf+V/5ZPk1+O74q/h4+Ez4FvfJ92v3DfbD9pP2dPZW9i71+PW89YH1SvUW9OT0t/SS9Hn0bPRo9Gb0Y/Re9FT0RPQr9Arz5/PK87jzsfOr857zhfNh8znzFfL28t3yx/Kz8qTymfKQ8oPycfJb8kXyM/Im8hvyC/H08dbxtPGQ8W7xTvEx8RfxBPD08OXw0fC48Jvwe/Bc8DrwFO/m77LvfO9K7yDvAO7n7tLuv+6q7pLudu5Z7kDuNO437kvuaO6I7qTuuu7M7tbu1e7H7q/ul+6Q7qnu5O8274rvyO/n7+zv6O/t8ALwIfA68EHwM/Ac8AvwB/AI7/zv1O+P70PvDe8C7yHvUe9w72TvK+7a7o7uXO5J7kjuTO5I7jzuLe4j7iDuI+4o7ivuLO4v7jnuUO507qTu1e8B7yDvM+8870HvRe9H70jvSe9L71PvYO9y74bvmu+s77vvxu/N79Hv1u/f7/HwCfAj8DnwR/BO8FLwWPBg8Grwd/CH8J3wuvDe8QfxNvFv8bHx/fJK8pDyyfL38yTzWfOb8+b0NPR89Lz09/Uw9Wf1mvXJ9fT2IfZU9o/2zfcM90X3efer99v4DfhA+HX4rPjk+R75V/mR+cz6C/pO+pT62/sh+2j7svwC/Fj8r/0E/Vb9pv36/lT+tP8W/3X/zwAmAHoAywEWAVcBiwG1AdsCAwIxAmcCogLcAxMDQwNuA5gDyAP/BDsEcwSfBLgEwQTABMAEyATYBPAFDAUsBVEFfAWpBdUF/wYmBk4GeAamBtYHBwc3B2QHjAesB8MH0gffB+4IAAgQCBYIDQf6B+YH2gfcB+cH9Af/CAoIGgg1CFkIgQikCMAI1gjoCPcJAgkFCQEI9wjmCMsIoQhpCC8IAwf3CA8IQAhxCJAIkwiFCHIIZwhhCFYIPggYB+wHxgerB5kHigd4B2cHXAdbB2UHdgeGB5UHowe1B8kH3gfuB/YH+Af8CAcIHAg3CE8IXwhlCGYIZghqCG0IawhgCFQIUAhhCI8I0wkgCWYJmgm3CbsJoAlYCNMICAb9BcgEjANoAnIBswEuAOQA1wEEAV8B1AJKAq4C+AMsA1ADagN4A3kDbgNfA1MDTANFAzUDGQLzAs4CsgKeAokCaQI8AgcB1gGuAYoBXgEnAO4AyADGAOsBIAFDATcA9ACSADUAAQADADEAcQCkALwAuACkAJEAhwCHAIsAigB/AG0AWABHAD0AOwA+AEQASwBTAFgAWwBaAFcAUwBPAEsARAA4ACYAEP/3/97/x/+v/5j/gf9t/1r/SP83/yX/GP8U/x7/NP9Q/2r/fv+M/5j/p/+5/87/4v/0AAUAFwAvAE0AcACWALwA4AD+ARYBJAEqASwBLwE5AVEBdAGgAcwB8gIOAiACKwIzAjsCRgJUAmQCdwKLAp8CsgLDAtEC3gLrAvkDBgMSAxwDIwMqAy8DMwM1AzYDNQM1AzYDNwM1Ay8DJQMZAw0DAgL3AusC3QLQAsUCvwK7ArYCrgKjApcCjgKJAocChQJ/AnQCZgJVAkQCMgIfAgoB9AHgAc4BvgGvAZ8BjQF5AWMBSwEzARkA/wDlAM0AtgCfAIcAbgBVADwAJgAS//7/5//N/7L/mP+A/2r/U/87/yH/Bv7u/tj+wf6p/o3+bv5P/jL+Fv38/eP9y/20/Zv9fv1c/TX9Dvzq/M38s/yW/HX8Tvwm/AT76fvS+7r7nPt6+1b7N/sd+wb67frR+rH6kfpy+lb6Ovof+gP56fnS+bz5qPmV+YH5b/ld+U35Pfkt+R75EfkG+P74+Pjx+On44PjX+M74xfi8+LX4svi0+L34yfjS+M74tfiG+Ef4CPfa98335PgZ+F34pPjp+S/5d/m++fb6EPoE+dX5lPlU+SP5BPjz+Oz47/j7+RL5Kvk7+T/5O/k8+U/5dfml+cz52/nR+br5p/mk+bL5xvnV+dj50PnC+bf5s/m4+cP5z/nc+ej59foG+hz6NPpH+k36P/oe+fH5xfmi+Y/5h/mF+X/5c/lj+VT5S/lO+Vv5bvmB+Yz5jPmE+Xj5cflx+XT5c/lo+VD5MfkR+Pb44fjS+MT4uPiv+Kv4qvio+KD4k/iE+Hn4dPh0+HL4Z/hR+DL4Evfy99L3r/eH9133NvcZ9wf2/fby9uD2xPai9nv2VPYp9fr1x/WR9V/1NvUY9QL08PTc9MP0pvSJ9G30UvQ19BXz8fPM86jzifNu81TzN/MU8u3yx/Kn8o7yfPJw8mfyYPJY8k3yOvId8ffxzfGm8YTxafFO8TLxE/D38OLw1fDP8MrwxPC68LHwqPCg8JrwlfCT8JfwovCz8MXw1/Dm8PPw/vEE8QXw/vDy8OPw1fDH8LbwovCN8Hzwc/Bz8Hjwe/B68HbwdvB/8JLwrPDJ8OrxEPE98XHxpvHW8f3yHPI28k7yZ/KC8p7yu/Lc8wHzKvNY84vzxvQI9FD0mPTe9R71V/WJ9bf14fYJ9jD2VvZ59pX2o/ah9pb2i/aO9qX2zvb79x33Kvcm9xz3HPcx91v3lffU+A/4Qfho+If4ovi8+Nn4/fko+Vn5j/nJ+gj6TfqZ+un7OfuE+838G/x5/PD9g/4r/tj/egAGAHkA2AEsAX4B0wIqAoIC2AMnA3ADsAPpBBsESwR8BLME9AVABZoGAwZ/BwsHogg4CL4JJwlpCYMJeglZCS0JAgjgCM8I0gjqCRMJSwmNCdUKHwpoCq8K9wtBC48L4gw2DIkM1w0eDWENpA3oDi0OcQ6xDu0PJA9aD48PxA/5EC4QZBCbENQRDxFLEYcRxBIBEj0SeBKvEuQTFhNIE3kTqhPYFAQUMBRcFIoUtBTZFPYVDhUmFUQVaBWSFb4V6RYVFkQWeBatFt4XBxcoF0YXaBeTF8cYABg3GGYYiRihGLIYvxjQGOUY/xkZGSsZLxkmGRMY/xjyGO0Y7RjtGOoY5BjeGNkY1BjMGL4YrxiiGJ0YnhigGJ4YlRiKGIMYhRiNGJEYiRhwGE4YLBgTGAUX/BfwF9gXtReKF10XMhcMFusW0Ba6FqYWkhZ8FmQWTBY0FhwWBRXxFeMV4hXxFg4WMhZSFmcWcxaAFpYWuhbnFw8XJRciFwkW5Ba/FqMWkBaAFmsWThYoFf8V2BW1FZgVexVcFTsVHBUCFO8U4BTTFMQUsxSgFIwUcxRUFCsT+xPHE5YTaRM/ExQS5xK2EoYSWBIuEgcR4hHDEeERzhHAEbURqhGgEZcRkBGJEYIRfBF6EYERjxGjEbgRyxHfEfgSGxJEEmwSihKbEqESqBK5EtUS9hMQExcTCRLuEtMSxBLHEtkS8RMBEwIS8BLOEqUSfRJcEkUSOBI2Ej0SSxJdEm4SeBJ1EmQSRhIhEf4R4xHYEdwR6hH3EfgR5xHDEZURZhE/ESMRDhD6EOQQyhCxEJwQihB5EGQQRhAdD+oPrg9vDzAO9A6/Do4OXQ4mDeINkA0zDNYMhgxQDDkMQQxfDIgMsAzSDOoM+w0GDQ0NDw0LDQEM8gzdDMIMoAx2DEYMEQvXC5sLXQsfCuAKoQpjCiQJ5gmrCXYJSwkrCQ8I8gjNCJ0IZwgvB/gHwQeFB0AG9QarBmsGOgYUBfMFzgWhBW4FOAUCBM8EngRyBE0ENAQpBCkELwQzBC0EGwQAA+EDwgOkA4YDYQM0AvwCvQJ5AjUB8wGzAXMBLwDkAI8AMf/J/1j+4v5r/fv9m/1U/Sf9Ev0K/QX8+vzk/MT8mvxm/Cz76/uo+2f7LPr2+sT6lvpu+lH6Qfo7+jv6Ofoy+ij6Ivol+i76N/o4+iz6Efno+a75YvkE+KD4RPf/99b3wve397L3uffd+Cj4kPj3+Tr5RPkX+M34gfhE+BH31/eM9zL22vaU9mb2RvYk9fL1svVr9Sn08fTE9Jz0evRd9Ej0OvQy9Cv0JfQf9Bf0C/P389vzvPOj85TzkPOO84Pza/NH8x7y9vLT8rPylfJ88mnyXfJV8kryN/Ie8gTx8PHj8djxyfGw8Y3xZvE/8R7xA/Dv8OPw3PDZ8NXwyvC38J/wh/By8F7wQ/Ac7+nvru9070LvHO7/7ufu0u697qTuiO5r7lLuQ+5E7lTube6H7pruoe6b7ovudO5X7j7uMe477mDunO7j7yPvUu9u74Lvn+/N8AnwQ/Bl8GbwSfAg8AHv9u/07+fvu+9u7xXuz+637s/vA+8v7znvGe7a7pXuW+427ibuJe4u7j3uTu5d7mjubu5u7mfuWe5E7jDuJu4x7lPuhu687ubu/u8I7wzvFu8m7zbvP+8/7zjvMu8z7zzvS+9d72/vgO+R76Hvsu/C79Pv5e/38ArwHfAw8ELwUPBa8GHwafB38JDwsvDb8QfxOPFw8bLx/PJH8orywPLs8xnzUfOY8+n0O/SG9Mb0//U09Wb1l/XF9fP2JPZa9pb21PcP90f3e/eu9+H4FPhI+Hv4r/jm+R/5WfmS+cz6CPpI+ov60vsc+2v7vfwV/G38w/0U/WL9s/4L/mv+z/8x/4z/4gA2AIoA3AElAWIBkQG4Ad8CDAJAAngCsQLnAxgDRQNwA54D0gQNBEsEhgS1BNEE3gTiBOgE9QUMBSkFSAVpBYsFrwXTBfYGFgY2BloGhga7BvMHKwdeB4kHqQe+B8kHzgfTB9sH6Af0B/oH9QfrB+IH4gfsB/sICQgWCCUIPghiCI4IuAjZCPIJBQkVCSMJKgkpCR8JEQj+COAIsgh0CDQICAgDCCgIZgigCLwIswiSCG8IWghWCFgIUwhACCAH/AfbB8AHqQeWB4UHeQd0B3cHgAeQB6UHvAfSB+UH8gf6CAAICAgVCCgIOwhMCFcIXghjCGgIbwh1CHMIZghQCD4IPwhhCKkJCwl0CcgJ9wn2CcUJYQjFB+kGzwWHBDEC9gH3AUYA4gDCANoBHwGIAgQCgALmAysDUQNkA3MDggOOA44DgANnA04DOwMsAxkC/QLXArIClQKBAm4CUQIlAe8BuwGOAWYBOAD6ALIAcQBPAFUAfACnALoAogBkABr/3//J/9wACgA+AGYAegB5AG0AXgBTAEsARQA/ADcAMQAuACwALAArACwAMgA8AEgAUABQAEcAPgA5AD4ASQBTAFcAUwBKAEAAOQAzACsAIAARAAD/8P/h/9j/1v/f//MADgApAD8ATgBYAGMAcQCDAJIAmwCcAJsAngCpAL0A1wDzAQ4BJgE8AUwBVwFdAWABZQFxAYcBqAHPAfYCFgIsAjoCQQJGAkwCVQJfAmsCdwKEApACnAKnArECugLFAtIC4ALrAvQC+gL/AwQDCgMOAxADDQMJAwQDAAL8AvYC7QLiAtUCyAK8ArACpAKZAo8ChgJ/AngCcAJmAlwCUwJMAkYCQQI6AjACIwISAf8B7AHZAcYBtQGkAZMBgwFxAWABTQE5ASQBDwD6AOQAzgC2AJwAgwBqAFMAPAAlAA3/8//Z/7//pP+I/2z/UP81/xv/Av7q/tP+u/6k/oz+c/5Z/jz+H/4D/en90P23/Z/9h/1v/VX9Of0X/PL8zfyp/Ir8bfxO/Cr8Avva+7f7m/uD+2v7UPsw+xD68frV+rn6nfp/+mH6RPoq+hD59fnY+bz5o/mP+X/5bvlc+Uf5Mvkf+Q/5Avj2+Ov43/jV+Mv4wfi3+Kz4ovia+JX4k/iR+I34h/iB+H34fviF+I34jPh6+FP4Hvfm9733rve599v4CvhE+In42/kz+Yb5wvnd+dT5sPl++Uf5EPjb+K34j/iJ+Jv4vPja+O74+PkF+SP5VfmO+b751PnO+bn5pvmh+av5u/nK+c/5y/nD+bv5uPm7+cT50vnj+fL5/voF+gz6Ffof+if6J/oa+gP55vnO+cH5v/nE+cb5wfmx+Zz5iPl++YH5kPmj+bH5tfmu+aP5mvmV+ZP5jPl7+WL5Rfkt+R35FfkP+Qb4+/jv+Ob43/jX+Mv4uvio+Jn4kPiM+Ij4ffhq+E/4MvgS9/L3zfem94D3YPdM90P3Pfc09yL3A/bd9rL2hvZZ9in19vXC9ZL1aPVH9S31FvT+9OL0wfSd9Hj0VPQx9A/z7vPO87Hzl/N+82PzRPMf8vfy0vKz8pzyi/J88m3yXfJO8kDyL/IX8ffx0/Gv8ZDxdvFg8UjxL/EY8QnxAfD+8Prw8PDj8Njw0PDN8MrwxPC+8LvwwvDT8OrxAPEQ8RnxGvEX8Q7xAvDy8OHw0vDD8LPwovCQ8IPwfvCB8IjwjPCN8I3wkfCf8LXwz/Dp8QTxJPFK8Xjxp/HR8fHyCvIh8jjyUvJs8oTym/Ky8s7y8vMf81bzmPPj9DP0gfTJ9Qb1O/Vr9Zr1yfX29h72P/ZV9l/2X/ZV9kn2RfZU9nz2vPcE90X3cPeA93z3cfdu93v3mffD9/P4IvhP+Hf4nfjC+On5Efk7+WX5jvm5+ev6Kvp2+sz7I/t2+8X8GPx9/P39mv5K/vz/oAArAJwA+wFPAaEB8gJBAowC0QMSA04DhQO5A+sEHgRYBJwE6wVEBaQGDAaCBwgHnAg1CMIJLwluCX4JaAk7CQkI3wjFCL0IyAjlCRIJTAmQCdgKIApkCqgK7As2C4YL2wwyDIQMzw0TDVMNkw3VDhkOWw6aDtYPDw9HD38PtQ/oEBsQThCEEL0Q+BEzEWwRoxHbEhMSShJ/ErIS4xMVE0gTfBOvE+AUDxQ8FGgUkRS3FNcU9BURFTEVVRV9FaQVzRX2FiMWUxaFFrUW4RcJFy8XVxeEF7YX7BgjGFgYiBivGM0Y3xjtGPsZDhkmGTwZSBlEGTIZHRkMGQUZBRkGGQIY+RjxGOwY7RjtGOcY2RjHGLgYsRiwGK4YphiYGIsYhRiIGJAYkBiDGGkYSRgsGBcYCBf4F94XuxeRF2YXPxceFwMW6xbVFr4WpBaIFmoWThY2FiIWDxX8FesV4hXoFgEWKBZUFnkWlBanFrwW2Bb7FxwXLxcqFw8W4xa0FooWahZSFjsWIRYDFeMVxBWmFYYVZBU/FRoU+hTkFNYUzRTCFLMUnhSIFHEUWBQ7FBgT7hPCE5gTchNPEy0TChLmEsASmRJwEkcSHxH8EioSCxHuEdARsxGbEYgRfBFzEW4RbBFwEXwRjRGfEa4RuxHLEecSEBI+EmUSexJ/En0SgxKZEr4S5hMBEwgS+hLjEs4SxhLMEt0S8RMAEwMS9RLYEq8SgxJaEjoSJxIgEiQSMBJDElgSaRJxEmsSVhI2EhMR+hHyEf4SFxIuEjISGRHiEZoRUxEaEPgQ6BDgENgQyxC7EKsQoBCYEJAQhBBtEEkQGA/cD5wPYA8rDv0O0w6jDmUOFw26DVcM+QysDHsMZwxxDI8MuAzfDP4NEw0eDSQNJw0mDSENFAz+DN4MtgyIDFcMIgvqC68LcQszCvYKvAqCCkUKAQm6CXgJQgkgCQ0JAQjuCMwImghfCCIH6AeuB3IHMQbwBrUGhQZjBkgGLAYIBdgFnwVhBSIE4gSkBGsEOwQZBAcEAQQBA/0D8QPaA78DogOGA2sDTAMmAvQCtwJzAioB4QGZAVABBACyAFf/8/+I/xv+r/5L/fP9qv10/U/9Of0q/R39Cvzu/MX8kfxR/An7vft0+zP6/PrL+pz6bfpC+h/6CvoC+gH5//n4+fD57/n2+gT6D/oM+fj50vmg+WL5F/i/+GH4DffP9673pPei96L3qPfF+Ab4ZvjL+RD5HPju+Jz4Rvf/98j3kvdR9wH2sfZt9jv2FPXp9bH1a/Ug9N70qvSC9GH0RfQt9Br0DfQF8//z+PPy8+rz3vPL87Lzl/OC83jzdPNx82PzSPMh8vbyzfKo8oXyY/JE8izyHPIR8gPx7fHQ8bHxl/GF8XfxZfFK8SfxAfDg8MfwtfCp8KLwn/Cg8J/wm/CS8Ifwf/B88HjwbPBP8CHv5++p73DvP+8V7vHu0u657qTuj+577mfuV+5Q7lTuYO5s7nDuaO5S7jPuE+387fXuBe4s7mPunu7O7uzu+e8D7xrvS++X7/LwQvBx8HPwTvAX7+fvze/D77nvm+9h7xbu0u6p7qPus+7G7sjusu6H7lPuHe3w7dHtyO3X7fvuKe5S7m7uee577njub+5g7knuMu4p7jbuWO6E7qjuvO7F7s3u4u8C7yPvOu8+7zPvI+8Y7xjvIO8t7z3vUO9o74TvoO+578rv1u/f7+rv+/AR8CjwO/BI8E/wV/Bm8IHwqPDW8QnxQPF/8cfyFfJg8qDy0vL98yrzZPOq8/b0P/R/9Lf06/Ug9Vb1i/W99e72IfZW9o/2yfcA9zX3aveg99j4EPhH+Hz4s/js+Sf5ZPmg+dz6Gvpc+qD65/sy+4H71fwt/IX82v0o/XX9yP4k/oj+7/9R/6sAAQBVAKgA9gE3AWgBiwGsAdQCBwJBAnwCsgLjAxIDQgN2A60D5gQgBFoEkAS+BN4E9AUDBRQFKwVKBW0FjwWvBc0F5wX/BhMGJwY/BmIGkwbOBw0HRwd2B5kHrwe7B78Hvge/B8QH0AffB+sH8Qf0B/gIAAgOCBwIKgg5CE8IcAibCMkI8AkMCR8JLwk+CUoJTglGCTYJIgkMCO4IwQiFCEgIIggkCFEIlAjNCOIIzQidCGsISwhECEsIUwhPCD0IHwf9B98Hxge2B6sHowecB5cHmAejB7gH0AflB/EH9Af2B/8IEggqCD8ISwhMCEcIQwhGCE4IWAhfCF4IVQhLCEoIXgiSCOcJUgm8CgcKGgnnCWwIqwetBnsFJwPJAogBhgDeAJUAnADcAT4BsQIrAqADBQNMA3IDfAN5A3cDfAOCA4ADbwNTAzUDHQMKAvYC2QKyAogCZAJKAjQCGgH1AccBlwFrAUIBEQDSAIMAM//4/+P/+QAsAGQAhgCDAFwAHv/i/7r/s//L//cAJABFAFIATwBAAC4AHAANAAMAAAACAAcADAAMAAwADwAYACYAMQAyACkAGwAUABkAKwA/AE0AUABMAEcARQBFAEEAOAArAB0AFAASABYAIQAwAEQAWABqAHcAfwCHAJQApgC5AMYAyQDDALwAuwDGANkA8gEMASUBOwFRAWMBcgF7AYIBigGYAa4BzAHuAg0CJgI2Aj4CQQJDAkgCUQJbAmUCbgJ1AnsCgQKHAo4ClgKhAq0CugLDAskCzALOAtEC1QLZAtoC1wLRAssCxQLBArsCswKnApkCiwJ/AnUCbAJkAlsCUgJIAkACOAIwAigCHwIUAgkB/QHzAegB3AHNAbwBqAGWAYQBdAFjAVIBQAEvAR4BDAD5AOQA0AC8AKoAlwCDAGsAUAA2AB0ABv/w/9f/u/+e/4H/Zv9O/zT/Gf77/tz+v/6j/on+cf5Y/j/+Jf4K/e790f21/Zr9gv1q/VP9O/0i/Qf86vzJ/Kb8g/xi/EL8I/wD++D7uvuW+3b7Wvs/+yP7Bvrn+sr6r/qT+nX6U/ow+g/59Pnc+cT5q/mQ+XX5X/lO+T/5L/kc+QX47/jd+M/4xfi7+LL4qPif+Jf4jviE+Hj4bfhk+F/4X/hh+GL4X/hV+Ef4Ovgz+DL4NPgx+CL4Bffe97j3nveV9573tvfd+BP4V/il+PX5O/lv+ZD5nfmX+Xv5Rvj7+Kb4Xvg1+DX4VfiB+Kn4x/jl+Q35RPmC+bT5zvnM+br5p/mf+aX5sPm5+bz5uPmz+bL5tfm/+c353/nw+f76BfoF+gP6AvoH+hH6HPoj+iT6HfoU+g36CvoM+hD6EPoJ+fr55/nT+cX5vfm6+bn5tfmu+ab5ofmg+Z75lvmH+XH5W/lK+UH5P/k9+Tj5Lvkj+Rj5DvkA+O/42fjD+LL4qPil+KH4mfiJ+HH4U/gx+Av34ve695f3gfd393f3d/dv91r3N/cK9tr2qfZ49kj2FvXl9bb1ivVk9UX1KvUR9Pf02PS09Iv0YvQ99B30AvPp887zsfOR827zSfMj8v7y3PLA8qrylvKC8m3yWPJH8jnyLPIa8f7x2fGz8ZLxevFp8VnxSfE78TLxLvEq8SLxEvD98Ozw5PDi8OLw3vDW8NHw1/Dq8QTxG/Em8SXxG/EP8QPw+vDv8OPw1vDH8LbwpPCS8IXwgfCG8I/wmPCf8KXwsPDC8Nzw9/ER8SnxRPFm8Y3xtPHW8fDyBvId8jjyVPJs8n3yh/KQ8qHyv/Ls8yjzcfPG9CD0evTL9Q/1RPVv9ZP1s/XP9eX19PX99gL2B/YN9hr2NPZh9qT2+/dZ97D38fgU+Br4C/f19+L32/fi9/b4E/g4+GD4ivi4+Oj5GflH+W/5kPmw+df6DvpX+q/7Dftp+8T8I/yT/R79wv51/yT/wQBCAKoBAgFSAaIB7wI3AngCswLpAx8DVwOPA8gEBARHBJAE4QU2BY8F7gZbBtwHcwgWCK8JJwlpCXQJUgkaCOMIuwirCK8IxQjoCRkJVQmbCeQKLApwCrIK9wtDC5gL8gxNDKAM6g0qDWQNnQ3YDhQOUQ6NDsgPAg87D3MPqQ/cEA0QQBB1EKwQ4xEYEUoRexGtEeISFxJLEn0SrRLeExMTShOCE7kT7BQaFEUUbRSSFLUU2BT8FSEVSBVvFZQVuRXeFgYWMRZgFo8WvhbuFyAXUReCF7AX3BgJGDkYbRigGMwY7RkBGRAZIBk2GU4ZXhlgGVMZPhkrGSEZIBkgGRoZDxkCGPoY/BkAGQAY9RjhGMwYvhi4GLcYsRiiGJAYghh/GIMYiBiDGHEYVhg5GCEYDBf3F90XuxeWF3IXURc0FxgW/RbkFssWshaXFnoWXRZCFisWFRX/FecV1BXQFeIWChY/FnMWmBauFrsWyxbhFv0XFBcYFwQW2hakFm4WQBYcFgEV6hXUFb8VqRWQFXMVTxUoFQEU4BTKFLsUrhSdFIQUZhRIFC0UGBQEE/ET2hO/E6ITghNhE0ATIRMFEusS0RK0EpMSbxJLEmESPBIWEfARyxGsEZMRgBFwEWURYBFmEXcRjxGkEbMRvhHNEekSEBI7ElwSahJrEmsSeRKaEsQS6BL5EvYS5xLXEtES1BLeEukS8hL1EvAS4xLKEqgSgRJbEj0SJhIWEg0SChIQEh8SNRJLElkSWhJMEjUSIRIZEiESMhI9EjQSDBHJEXkRLxD5EN0Q1hDZENwQ2xDXENIQzxDNEMsQxRC1EJgQaxAwD+0PrQ92D0sPKQ8HDtwOoQ5XDf8Nnw1BDO8MtAyXDJcMrwzRDPINCw0aDSMNKQ0uDS0NJA0QDO8MxgyYDGcMNQwBC8kLjwtUCxwK5QquCnAKJwnVCYQJQQkWCQUJAgj+COsIxQiPCFUIHQfoB7MHegc/BwcG2ga6BqQGjgZvBkAGBAXABXkFMwTsBKcEZgQtBAMD6APYA8wDvQOnA40DcgNaA0MDKwMLAuECqwJqAiIB1gGJATkA5gCNACz/xf9c/vj+nv5T/hX94f20/Y39av1K/Sr9BfzY/J/8XPwP+7/7c/sx+v361fqx+ov6YPox+gj56fnV+cn5vvmz+ar5q/m1+cP5x/m4+ZX5Y/kr+PD4sfhr+CL33/ew95v3mPeb95n3mvet9+T4PPie+OL47fi7+GH4Ave19373T/cX9tH2g/Y79gL11PWl9Wz1KfTk9Kb0dfRP9C/0FPP98+3z5/Pm8+jz5/Ph89bzxPOt85LzePNl81vzVvNM8zfzFPLn8rnyj/Jr8knyJvID8ebxz/G98arxj/Fs8UjxKfES8QHw7vDW8LvwoPCL8H3wc/Bp8GDwWfBW8FbwV/BZ8FvwYPBp8HDwbfBd8DzwEe/g763vd+8/7wfu1e6v7pjuiu6B7nXuaO5d7lbuUu5N7kDuJ+4C7dntt+2o7bXt4e4k7m7uq+7O7tXuy+7F7tXvBe9R76jv9vAn8DLwGu/t773vme+G73/vdu9h7z/vFe7s7sjuqu6P7nPuV+457hft7e2+7ZLtee2A7aXt2u4L7ifuMO4x7jbuQe5N7k/uR+487jzuSu5k7nvuiu6T7p/ut+7b7wHvG+8j7xvvEO8K7w3vFu8g7yvvOO9M72jvh++l77zvyu/S79vv5+/48AzwH/At8DjwQ/BV8HHwmPDK8QXxSvGZ8fDyRvKT8s/y/fMk81DzhvPC8/70MvRe9Ir0vfT49Tn1evW29e32IvZX9oz2v/bw9yD3VPeN98n4BvhB+Hz4ufj4+Tj5efm6+fr6PPp/+sT7CftO+5j76vxD/J/8+P1M/Zz98P5M/rD/Ff93/9IAKQB9AM4BEwFHAWkBggGfAcgB/gI6AnICowLSAwQDPQN9A7wD9wQsBF4EjgS7BOMFBwUnBUgFbQWUBb0F4wYEBh8GMgY+BkUGSgZYBncGpwbjByAHUwd3B48HnAekB6gHqweuB7YHxAfXB+oH+ggHCBIIHggtCD0ITwhnCIgItQjnCRUJNwlLCVYJYAlqCXIJcAlhCUoJMQkWCPYIygiUCGEIRghTCIQIwwjzCPwI3QimCHAITAhACEUITwhTCEoINQgXB/gH3wfRB80HzAfIB8AHuwe+B80H4AfuB/EH7QfsB/YIDQglCDQINAgpCB4IHAgjCCwIMwg0CDYIQAhVCHkIqwjuCUIJoAn2CiUKDwmcCMgHoQZBBMkDXQIdAScAkgBiAIsA8QF0AfgCbgLQAx8DXAOFA5YDlgOLA38DdwNwA2MDTQMvAw8C8wLdAscCqgKEAlkCLwIMAfAB1AG1AZEBagFDARoA6QCrAF4ADv/M/6r/tf/rADwAiwC7ALQAdAAP/6j/Yf9R/3P/sv/xABwALQAqABwACv/3/+b/2//Y/9z/5P/o/+j/6P/t//cAAwAHAAL/9//x//YABgAXACIAIgAbABYAFwAbABwAGQASAA0ADgAXACQAMQA+AEsAWABkAG0AdAB9AIoAmwCrALYAuAC1ALIAuADHAN0A9gENASQBOgFQAWQBdAGAAYoBlgGnAb4B2QH0AgwCHwIqAi8CMAIwAjICOAJAAkkCUAJVAlgCXAJhAmkCcgJ9AogCkQKYApsCmwKaApoCmwKbApkClQKQAo0CiwKJAoUCfAJvAmECUgJGAj0CNgIvAikCIQIYAg4CBgH+AfYB7AHeAc0BuwGsAZ4BkwGFAXYBZAFSAUABLwEcAQgA9ADkANYAyQC5AKYAkQB7AGkAWABFAC4AE//2/93/xv+x/5n/ff9g/0P/Kv8U/v3+4/7F/qT+hP5m/kn+Lf4S/fb92/2//aH9g/1k/Uf9Lf0X/QL87fzW/Lr8m/x6/Ff8NPwS+/H7z/ut+4v7a/tO+zP7Gfr8+t36vPqc+oH6afpQ+jL6D/nq+cf5qfmQ+Xn5YflI+TH5HfkN+P747PjX+MD4q/ib+I/4hvh9+HT4a/hk+GD4XPhX+E74Qvg2+C34KPgo+Cv4LPgn+Bz4C/f59+v35Pfg99z30vfB96v3l/eI94T3jfei98T38fgl+Fv4kvjJ+QP5Pvlx+Yr5ePk2+NH4Z/gX9/f4B/g2+G34oPjQ+QP5Pvl6+an5wvnA+a/5nfmU+Zj5ofmo+an5pvmk+aj5s/nD+dX55Pnw+fn5/voA+gD6AfoF+g36G/ou+kL6U/pd+l/6WfpR+kz6TfpR+lL6Sfo1+hf59vnY+cD5sPmn+aP5ovmh+Z75l/mM+X35cPlm+WH5Xvlc+Vf5UvlK+UL5Nfkj+Qv48PjW+MT4uvi4+Lj4tvit+Jv4f/ha+C33/ffP9633m/eY9573oveY9333Uvce9uf2svZ/9k72HvXu9b/1lPVt9Uz1MvUe9Qr08vTT9K30hPRg9EP0KvQQ8/DzyPOc83LzTPMt8xHy9vLd8sPyqfKO8nTyXPJJ8jvyLfIZ8fvx1vGy8ZfxiPGB8XvxcPFi8VTxSvFB8TTxIPEI8PXw6/Dr8O3w6vDl8OPw7fEF8SLxN/E68SzxFfEC8Pbw8/Dx8O3w5PDX8MfwtvCm8JvwmPCd8KjwtfDA8Mrw2fDt8QfxI/E98VbxcfGQ8bPx1PHv8gXyG/I18lXydfKL8pXylfKT8pvysvLa8xHzV/Oq9An0bvTP9SD1XPWA9ZD1k/WP9Yv1ivWT9ab1x/X09i32cvbC9xz3e/fY+Cz4bPiV+KT4nPiE+GX4R/gz+Cv4MfhD+F34f/io+Nj5DPlA+W35kfmx+dT6BvpK+qD7APtl+8z8PPy+/Vf+Av6y/1X/3wBLAKIA7QE3AYMBzQITAk8ChQK5AvADLgNwA7UD+gQ9BIEExgUMBVYFqQYOBowHJwfUCH0JBglXCWoJSwkUCN0IuQisCLMIyQjsCRwJWwmmCfYKQwqICsoLDwteC7oMHgx/DNYNHg1XDYcNtQ3kDhcOTQ6GDr8O+A8wD2YPmg/NEAAQNBBpEJ0QzBD3ER8RShF4EawR4RIWEkkSehKuEuUTHxNcE5YTzBP9FCkUURR1FJgUvRTkFQ4VNxVfFYMVphXLFfMWHxZNFn0WrxbkFxsXUxeHF7MX1hf4GB4YTRiEGLwY6hkLGSEZMxlHGV0ZcBl2GW0ZWRlEGTYZMRkwGSwZIRkSGQYZAhkDGQMY+hjnGNIYwhi7GLkYthiqGJgYhxh9GH0Yfxh9GHAYWhhCGCsYFhgAF+cXyRerF40XcBdRFy4XChbpFtAWvRaqFpQWeBZaFj0WIRYEFeYVyxW6Fb8V3hYPFkQWbRaCFocWihaVFqkWwRbQFssWrxaDFlIWIxX8FdsVwBWmFZAVehVlFU0VLxUMFOgUyRSyFKAUjxR4FFkUNRQSE/YT5BPaE9QTzxPGE7QTmRN2E08TKxMOEvoS6hLaEsMSphKFEnQSTxIpEgQR4hHFEawRlhGBEXARZxFtEYERnRG3EcgR1BHjEf0SIRJGEmESbRJxEnsSlBK7EuES+RL6Eu4S4BLfEuoS+hMDEwES9RLjEtASvRKnEowSbxJREjcSHxIHEe8R2hHQEdUR6hIIEiYSORI/EjoSNBIzEjgSOxIzEhQR3BGUEUsREBDsEN0Q3hDlEO0Q8xD4EP0RABD/EPoQ7xDdEMEQlhBdEBwP2g+hD3cPWA8+DyIO/g7NDo4OPw3jDYENJwziDLwMtQzEDN0M9w0LDRsNJw0vDTINKg0XDPoM1AyrDH8MUgwiC+8LuAuCC04LGwrnCqkKXwoICa0JXwkpCQ4JCAkHCPsI3giyCIAITwgiB/QHwweNB1oHMAcTBv8G6gbIBpYGVgYRBc0FjgVQBREEzQSJBEwEGQPzA9MDtAOUA3EDUQM0AxwDBALnAsICkwJYAhUBywF8ASkA0QBwAAf/mv8w/tT+i/5V/iz+B/3d/az9dv0+/Qb8zPyM/Eb7+fuq+1/7H/ru+sv6sfqY+nr6U/on+f352vm/+af5kPl7+Wz5aflu+XT5bvlS+SP46vi0+IL4U/gh9+v3vPee95T3mPeb95b3kPec98z4Hfh5+Lf4vPiD+CT3wPdx9zr3DfbY9pH2QfX19bf1h/Vb9Sj07PSt9HP0Q/Qc8/rz3fPG87vzvfPI89Tz2/PX88jzsfOU83bzW/NI8zvzMfMi8wby3PKp8nbySvIk8gHx3fG58ZfxevFi8UnxKvEG8OLww/Cs8JzwjPB58GXwU/BH8D/wOPAt8CDwFPAP8A/wFPAc8CTwLvA58ELwRPA+8DHwH/AJ7+zvwO+D7zru8+667pXuhO597nfub+5l7lnuS+417hTt6e227YbtY+1Z7W7tou3q7jLuZ+5/7n7ucu5w7oXuse7s7yvvY++R77Dvvu+576Pvhe9q71rvWe9f72TvXu9E7xfu2u6Y7lzuLu4P7fbt1u2q7XjtU+1L7WbtlO2/7dXt1u3S7dnt9e4b7jzuS+5L7kXuRu5S7mPudO6E7pXuq+7H7uHu8O707vLu8e737wTvEe8b7x/vI+8s7z/vW+9875vvtO/F79Hv2+/l7/Hv//AO8B7wL/BE8GDwhvC68P/xVvG78iPygfLK8vzzH/NA82nzmvPM8/f0F/Q09Fj0jPTR9R71avWv9e32J/Zd9pH2v/bq9xb3R/eA97/3//g/+H74v/kD+Un5jfnR+hX6Wfqf+uP7JPtl+6r7+/xY/L39IP17/dD+I/57/tr/PP+c//gATwCgAOoBJQFQAWwBhAGkAc8CBQI7AmoClQLBAvgDOgOCA8YD/wQvBFsEiAS5BOwFHwVQBYAFsAXfBgwGNQZYBnUGhwaOBosGhgaJBqAGywcBBzUHXAdyB30HhQeOB5kHpAeuB7gHxwfbB/EIBggYCCcINghICF4IeQicCMoJAQk4CWcJhgmVCZoJngmiCaMJmgmHCWoJSgknCPwIyAiRCGYIWgh1CK0I5wkKCQYI4QitCHwIXAhNCEoITwhVCFQISAgvCA8H8QffB9wH4QfkB+EH2wfaB+EH7Af0B/IH6wfnB+0H+ggECAQH+QfuB+8H/ggQCBoIGAgQCBUINAhtCLUJAQlLCZYJ4goeCi0J5QksB/4GeQTNAzQB3wDsAGgAUACTARUBswJNAs0DJwNgA4MDmAOnA7EDsgOqA5oDhgNuA1MDMwMPAuoCxwKnAokCbAJLAicCAAHaAbcBlgF3AVoBPAEaAPEAvgB/ADj/7/+x/4z/jP+6AA0AbgC3AMUAhgAJ/3j/B/7a/vX/Pf+N/8j/5//w/+//6f/c/8n/tf+p/6n/s/++/8P/wf+//8L/y//T/9X/0f/P/9X/4f/s/+//6P/c/9X/2P/g/+n/7P/t//H/+gAGABMAHQAmADEAQABSAGIAbwB4AIIAjgCbAKQAqACqAK4AuQDKAN0A8QEDARQBJwE7AU0BXAFpAXUBhgGbAbMBygHeAe8B/QIHAg0CDwIOAg4CEAIVAhsCIAIkAicCLAIzAjwCRgJQAlkCXwJjAmUCZwJoAmkCaAJjAlwCVQJRAlECUwJUAlACRwI6Ai0CIAIVAgwCBAH9AfgB8gHqAeEB1gHLAcABswGiAY4BeQFmAVUBSAE6ASoBGgEIAPYA5ADPALkAowCSAIcAfwB0AGQATgA3ACEADv/6/+L/x/+r/5L/fv9s/1f/Pv8i/wX+6/7T/rv+oP6C/mT+R/4r/g/98f3S/bL9lf14/Vv9O/0Z/Pn83vzJ/Lf8pPyN/HH8UPwt/Ar75/vE+6D7e/tX+zX7GPsA+un60fq1+pT6cfpQ+jT6G/oD+ej5yfmn+Yb5aPlN+TT5HPkE+O/43vjN+Lz4qPiS+Hz4avhe+FT4S/hA+Db4Lvgq+Cr4K/gq+CP4GfgM9//39ffw9+/38Pfy9+/35vfX98f3uvez97D3r/ep9533jPd492n3Zfdu94T3ofe/99v39fgZ+FD4nvj3+UL5Y/lI+Pb4hvgd99z3z/fw+Cr4b/iz+Pb5Nflu+Zb5p/mh+Y/5ffl1+Xr5hvmQ+ZT5lvmZ+aL5sfnC+c/51fnY+dz55fn0+gP6DvoR+hH6Ffol+kX6a/qM+pz6mPqH+nb6cfp5+oX6h/p3+lP6Jvn6+dv5y/nG+cX5wvm5+az5nfmQ+Yf5gfl8+Xb5cPlq+Wb5Y/lg+Vr5Tvk5+R/5Avjo+NX4yvjG+Mj4yvjK+MP4sPiO+F/4J/fx98f3sfeu97T3tfen94X3UfcW9tz2p/Z29kb2FfXj9bT1ivVn9U31O/Uu9SL1EfT49Nb0sPSO9HH0VvQ39A3z2/Oo833zX/NK8zjzIvMG8ubyx/Kr8pHyd/Je8kTyKfIL8evxzPG28a7xsvG68brxq/GP8XDxVvFE8TXxJfET8QTw/fD+8QDxAPD88P3xCvEl8UPxVfFQ8TjxGPD+8PPw9PD38Pjw9PDs8OPw2vDS8MrwyPDM8NXw4fDt8PjxBvEZ8TPxUPFt8YvxqvHL8e3yC/Ij8jbyS/Jl8obypvK98sfyyPLH8s7y4fL/8yfzW/Oe8/X0WvTC9R31XfV79Xv1aPVQ9UH1RPVc9Yn1yPYX9nH20vc195T36vgy+Gz4mvi7+M/41fjN+Lj4nfiF+Hb4cvh5+Ib4mvi1+Nr5CPk8+W35mPm8+eD6D/pP+qL7A/tt++H8Yfzz/Zb+Qf7l/3P/4wA4AHwAvQECAU4BmgHgAh4CVQKKAsUDCQNUA6AD5gQlBF4ElATNBQ4FWwW7BjQGyAdyCB8ItAkaCUgJRAklCQMI7AjkCOYI8QkICTAJcAnCChwKcAq4CvkLPQuOC/AMWwzCDRgNWA2GDakNyQ3tDhcORg56Dq8O5Q8aD0wPfg+yD+gQIBBWEIcQsBDSEPMRGBFEEXgRrhHlEhwSUxKNEskTBxNDE30TsxPlFBMUOxRgFIIUphTNFPcVIhVKFW8VlBW7FegWGRZMFn4WsBbjFxoXUxeJF7YX2hf3GBcYQBh0GK4Y5RkQGS4ZQxlVGWgZeRmDGX8ZbhlXGUMZOBk1GTMZLRkgGRAZAxj6GPQY6xjcGMsYvRi2GLUYshirGJ0YjhiEGIEYgBh9GHMYYxhQGD4YLBgWF/wX4BfGF60XlBd1F00XIxb9FuEW0BbDFq8WkxZxFk4WMBYUFfYV1hW5FasVsxXSFfoWHhYxFjMWLhYrFjIWQRZPFlQWTBY6FiEWBhXqFcsVqBWEFWEVRBUuFRwVBxTtFM8UsxSbFIoUexRoFE8UMRQSE/gT5hPcE9gT1RPPE8ITqROGE1wTMxMSEvwS7RLgEs4SthKXEnUSVBIxEhAR8RHXEcIRrhGaEYoRgxGJEZ0RtxHQEeAR7BH9EhcSOxJeEncShBKOEp8SvhLkEwITDhMHEvoS9xMFExwTLxMuExcS8RLJEqgSjhJ4EmESSBIvEhgSABHmEcgRqxGXEZMRoRG6EdYR7BH5EgQSEBIhEjISORIqEgARwRF6ETkRDBD0EOwQ7RDwEPUQ/REIERMRGREWEQoQ9xDfEMIQmxBpEC4P8g+8D5APcA9VDzsPIQ8DDt8Org5sDhcNuQ1hDRwM8wzkDOgM+A0LDR0NLQ03DTcNLQ0YDPsM2gy2DJAMZww7DAsL2wurC34LUwskCusKogpLCe8JmglaCTUJJQkcCQ0I8wjOCKUIfghZCDIIBwfXB6kHgwdoB1MHOgcUBt0GmwZYBh4F7gXCBZEFVwUVBNIEkgRZBCYD8wO/A4sDWwMyAw4C7QLMAqYCeAJDAgUBvwFxAR0AwQBb/+z/ef8N/rL+cf5G/ij+B/3Z/Zv9Uf0B/LP8Z/wd+9T7jvtN+xb66vrJ+rD6mvqA+mD6OvoR+ez5zPmw+ZP5dflW+T/5Mvku+Sn5Gfj2+MX4kvhk+D74G/f098v3p/eU95L3mved95b3jveZ98X4EPhe+I34hPhC9+D3fvcx9vv2zPaR9kb18vWm9Wv1QPUY9Or0svR19Dv0CvPh87/zofON84Tzi/Ob863zuPO286fzjvNw81LzNvMh8xHzA/Lx8tTyq/J58kPyEvHm8b7xlvFu8UjxJ/EJ8O3wz/Cv8JHwefBp8F3wT/A98CnwFvAI7/7v9O/n79nvzu/J78vv0e/Y7+Hv7O/38AHwBvAG8ATwBPAE7/vv3++p72DvD+7I7pXudu5m7l7uV+5O7j7uI+357cDtgO1D7RPs9+zy7QbtLe1d7Yjto+2n7aDtn+2z7eDuG+5V7oXuru7d7xfvVu+L76PvnO9/72HvUu9W72Xvbe9f7zPu7O6W7kPuAe3V7bftmu127UztK+0i7TntZO2P7abtqO2h7aftxe317iXuRO5M7kbuQO5F7lfuce6O7qjuve7M7tPu1e7T7tTu2+7p7vrvCO8O7w7vC+8M7xfvLu9N73Hvk++t773vxu/L79Hv3u/w8AfwH/A58FXwe/Cy8P/xZPHW8kbyofLf8wPzGvM281/zkfPC8+f0APQZ9D70dvS+9Q31WfWf9eH2IPZc9pL2v/bn9xL3RPeA98H4BPhE+IT4xvkM+VL5mPnc+iL6afqx+vf7OPt4+738Efxz/N79R/2l/fr+S/6g/v3/X//AABkAagCyAPEBJQFNAW8BkAG3AeYCFwJEAmsCkAK9AvgDPwOIA8oEAgQwBF4EjwTGBQEFPAV2Ba4F5QYXBkUGbQaRBq8GxQbPBswGxAbEBtYG+wcrB1QHbQd0B3UHeQeFB5kHrAe7B8gH1QfoB/4IFQgrCD4IUghpCIYIqAjSCQQJPQl1CaQJxAnVCdwJ3wngCdsJzQmzCZEJaAk4CP4Iuwh+CFgIXAiHCMkJAgkaCQsI4QixCIoIbwheCFUIVAhbCGMIYQhNCCcH/QfeB9QH2wfnB+4H7gfsB+4H8gf1B/IH7AfnB+UH5AfeB9EHxgfHB9sH+wgWCB4IFAgJCBUIRgiUCO0JPwmFCcUKAAojCgoJiQiEBwcFQQN7AfsA8QBtAGUAuQFHAe0CjQMUA3YDrwPGA8cDwgO/A8EDwwO9A6wDkANsA0YDHwL2AsoCnAJuAkYCJQIJAe8B0gGuAYcBYgFCASgBDwDxAMgAkQBQAAr/xv+K/17/Tf9k/6YAAwBXAHYAQ//F/yb+o/5q/oT+1P8t/2//kP+c/6H/pf+h/5H/ef9m/2X/df+K/5f/l/+R/43/kP+Y/57/oP+h/6f/sv+8/73/tP+n/6D/ov+t/7f/vv/C/8j/0//h/+z/9f/9AAsAIgA9AFUAZABtAHMAewCGAJEAlwCcAKIArAC5AMgA1gDjAPEBAgEVASYBNAFAAU8BZAF9AZUBqAG1Ab8ByAHSAdoB4AHhAeEB4gHkAekB7QHxAfMB+AH/AggCEQIaAiACIwImAikCLQIzAjcCNgIwAiUCGgIUAhUCGAIaAhYCDQIBAfcB7gHmAd0B0wHKAcQBvwG6AbEBowGUAYMBcwFhAU0BOAEkAREBAQDxAOAAzgC7AKoAmACEAG0AVwBEADgALwAmABcAA//r/9T/vv+o/5D/df9b/0X/NP8k/xP+/f7j/sf+rP6Q/nP+Vf43/hz+BP3s/dH9sv2Q/W/9Uf02/Rv8/fzc/Lz8oPyJ/HX8YPxG/Cf8BPvg+777nPt6+1b7MfsN+uv6zvq1+p76h/pr+kz6KvoJ+er5zvmz+Zj5fPlg+UT5KfkP+Pb43fjG+LL4ofiQ+H34aPhS+D/4MPgm+Bz4EvgG9/z39vf29/j3+vf59/T37Pfi99j3z/fG98D3vve+98D3wfe997X3rPel96P3oveg95X3gfdm90v3O/c690r3Y/d694f3jPeU97D36/hD+KP47/kJ+Oj4l/gy99v3rPev9974KfiA+NX5HvlV+XT5fPlw+Vz5S/lF+Uv5Wfln+XL5efmC+ZD5ofmv+bb5s/mu+a/5wPne+f/6FfoY+gv6APoH+ir6YfqY+rr6vvqq+pH6g/qG+pH6lvqI+mf6PPoY+gT6AvoJ+g76Bvnw+dL5tPme+ZP5jvmL+YT5evlx+Wr5Z/ll+V/5Uvk/+Sj5Efj9+Oz43/jX+NX42fjg+OT43PjD+Jf4Xfge9+n3xfe297P3r/ec93T3PfcB9sr2nPZz9kf2FPXc9ab1e/Ve9U/1SPVD9Tz1LvUX9Pj01fS09Jb0evRY9Czz+fPH86DzhvN182TzS/Mt8xDy+vLp8tbyu/KT8mPyMvIG8ebx1PHT8eDx9vIG8gXx6/G+8YvxYPFG8TnxMfEq8SPxIfEi8SXxJPEg8SDxLfFF8V/xbPFj8UbxJPEK8P/xAPEE8QXxAvEA8QHxA/ED8P/w+/D58P3xBfEQ8RvxKvE/8VvxffGh8cfx7fIS8jbyVPJr8nzyjfKj8r7y2vLx8wLzDfMZ8ynzPvNW83DzkvPD9Aj0X/S99RD1R/Vd9Vb1QfUv9TD1SfV69bz2CPZb9rT3EPds97/4A/g0+Fb4cPiH+J74sPi5+Lf4rvim+KX4rPi5+Mf41fjl+P/5JPlS+YH5q/nN+e36FvpS+qT7Cft9+/38if0h/cD+XP7p/1z/tP/3ADEAcAC3AQcBWAGkAegCJQJhAqAC5gMxA3oDuQPuBBsESgSCBMcFGgV5BecGZwb6B5YIKgigCO0JFQkmCTEJPglMCVUJWQlhCX0JtgoJCmUKvAsDC0ALgwvWDDwMqA0LDVgNiw2qDcEN2A30DhYOPA5nDpMOwQ7vDx4PTw+ED70P+RAyEGQQjBCuEM4Q8xEfEVERhhG+EfkSOBJ7Er4S/hM3E2wTnhPOE/0UKBROFHEUkxS4FOIVDhU5FWEViBWzFeQWGRZPFoMWsxbjFxUXSxeBF7MX3Bf+GB4YRBhyGKgY3xkPGTMZSxldGW0ZfhmLGY4ZghlsGVMZQBk4GTYZMxkpGRgZAhjuGN8Y0hjFGLgYrRimGKMYoRicGJQYixiFGIIYgBh7GHMYZxhZGEsYOhgkGAgX6hfSF78XrReVF3IXSBcfFv8W6BbVFr0WnBZ3FlUWPBYnFg8V7xXIFaUVkxWYFa0VxxXYFdoVzxXAFbUVsBWwFbIVtBW2FbcVtxWxFaIVhhVjFUAVJBUTFQcU+RTkFMcUqBSPFH4UcxRoFFgUQxQsFBYUAxPyE+QT1hPGE7QTnROAE1wTORMZEwAS7hLdEsoSshKVEnsSXhI+Eh4R/xHlEdARwRG1Ea4RrhG3EccR2xHrEfcSAhIUEjASUxJ0EowSmxKnErsS2hL8ExcTIRMfExsTIhM1E0kTThM4EwoS0RKcEnYSXBJJEjQSGxICEesR1RG/EaYRjBF4EW8RdBGCEZERnhGqEboR1RH6EiASORI3EhYR2xGWEVcRKBEMEP4Q9xD0EPYQ/xENERoRHxEWEQIQ5hDJEKsQiBBdECwP+Q/LD6QPgw9kD0QPJw8QDv8O7Q7PDp0OVw4FDbQNcA1ADSUNHA0hDS4NOg1ADTsNKg0QDPEM0QywDIwMZAw5DA0L4wu9C5wLewtVCyEK3QqJCi4J2gmYCW0JVAlCCSwJDgjrCMgIqQiNCG0IRwgbB/AHywewB5kHfAdSBxkG2AaaBmcGQAYdBfYFxQWLBU0FDgTSBJUEVgQUA9IDlANcAyoC+wLNAp4CbAI3AfoBtgFpARQAuABS/+T/c/8I/q/+bv5D/iL9/f3H/Xz9IvzB/GL8C/u++3z7R/sd+vz64vrL+rP6l/p1+k76JPn8+dn5vfmj+Yf5ZvlE+SX5EPkB+PL42/i4+I74ZvhE+Cj4DPfo98P3o/eU95T3nPef95r3l/em99H4D/hG+Fn4Offt9433Nvbz9sD2jvZO9f/1rvVo9TT1DfTn9Lj0ffQ99ALz0fOq84nzbvNZ81DzVPNj83Tzf/N982/zWPM88x/zA/Lq8tbyxfKz8pzyevJO8hrx5fGx8YDxUvEm8P3w2fC58Jvwf/Bl8FHwRfA/8DjwK/AV7/jv3O/F77Pvpe+Y74zvgu9973zvfe+B74jvlO+l77Tvve+977jvtO+077Dvn+957z/u+u647oHuWO4+7i7uJO4Y7gLt1u2S7T7s6+yo7H/sbuxv7Hjsh+yV7J7sm+yN7H/shOyp7O3tP+2I7b3t5u4Y7mXuyu8w73vvm++V73vvY+9Z71jvU+887wzuw+5p7grttO1x7UPtJe0O7Pns7Ozw7QvtOO1o7Yntle2U7Zftre3W7gfuLe4+7j/uO+5A7lXud+6e7r/u1O7a7tju0u7R7tfu4+7y7v3vAu7/7vnu8+7y7vrvC+8l70XvZO99743vl++e76jvu+/U7/LwEvAw8FDwePCw8P7xYvHQ8jjyiPK78tby7PMN8z3zdvOs89Xz9PQV9EL0fvTE9Qr1S/WI9cj2CvZM9ob2t/bi9xD3SPeK98/4E/hS+JD40PkU+Vn5nfnh+ib6b/q6+wP7SPuN+9n8MfyW/P/9ZP29/g/+YP66/x7/hv/nADsAgAC4AOkBFQE/AWkBlgHFAfUCIQJHAmoCkQLCAwADRwONA8wEAwQ2BGsEogTcBRYFUAWLBccGAQY2BmIGhgamBsQG3gbvBvQG8wb2BwcHKQdRB3AHfQd7B3QHdQeFB50HtQfHB9YH5Qf6CBQILwhJCGAIeQiWCLgI3gkKCTsJbwmhCcwJ6woACgwKEwoVCgsJ9QnSCacJdQk8CPkIsQh0CFUIZgifCOkJIgk0CRwI7gjACJ0IhAhyCGMIXghmCHUIfAhqCD0IAwfSB7wHwAfTB+QH7AfqB+cH5QfkB+IH3wfcB9kH1AfMB8QHxAfSB+8IDwgjCCQIGwgeCD4IfgjRCSEJZAmbCc0J8wnwCZoIyAd1BcED8gJYATQAowCdAP4BlgI6As8DSAOgA9oD+AP+A/ED3gPMA8IDvAOyA54DfQNVAysDAgLYAqkCdQI/Ag4B6AHNAbcBnQF8AVUBLgENAPQA3wDFAJ8AagAq/+b/of9d/x3+7/7l/w7/Zv/KAAj/9P+G/uX+Uv4I/hr+bv7S/x3/Qv9O/1T/Wv9a/0r/Lv8Y/xX/Kv9K/2L/af9j/1z/XP9j/2j/aP9n/2v/dv+D/4j/hP96/3T/eP+C/4v/kP+S/5f/ov+y/8D/y//V/+b//gAZADAAPABBAEQATQBbAGkAcgB3AHoAgQCNAJkApQCyAMAA0gDmAPYBBAEQASABNwFSAWoBewGDAYcBjQGXAaIBqwGvAbEBsgG0AbcBuwG+AcEBxQHKAdEB2AHfAeQB5wHpAesB7wH1AfoB+gHzAecB2wHUAdUB2QHbAdcBzQHDAbsBtwGxAagBnAGRAYkBhgGDAXsBbQFaAUcBNAEiAQ8A+wDnANUAxACzAKAAigB0AGAATwA9ACoAFQAB//D/4//X/8f/tP+d/4b/b/9Y/0D/Jv8O/vr+6v7b/sr+tf6d/oX+bP5Q/jL+Ef3y/dX9vf2m/Yv9av1I/Sf9DPz1/N78w/yl/If8avxR/Dj8Hfv++9v7uPuV+3T7U/sx+w/67PrM+qz6j/pz+lj6Pvoi+gX55/nI+aj5iPlp+Uz5MfkY+QD46fjS+Lr4o/iN+Hv4avhY+EP4LvgZ+Aj3+/fw9+X32PfN98X3wvfE98j3yPfF97/3ufe097L3r/eq96P3nfeZ95n3m/ee9573m/eX95T3k/eS94r3ePdb9zv3IfcX9yD3NvdN91n3VvdK90f3W/eT9+f4RfiQ+K/4lvhP9/P3pfeB95P32Pg5+J/49fku+Un5Svk7+Sf5FvkP+RP5H/ku+Tz5SflX+Wn5fvmP+Zb5kvmL+Y35oPnF+e/6CvoN+fv56Pns+hL6U/qY+sj61frD+qb6j/qI+ov6jPqA+mX6Rvov+ir6NfpH+lD6R/oo+f751Pm3+aj5ovmf+Zf5i/l++XX5bvlo+V75T/k/+S/5IvkW+Qj4+vju+On47Pj2+P74/fjr+MX4jvhO+A732ve596b3mPeA91j3Ivbr9r/2nvaC9l32J/Xm9ab1dfVc9VX1V/VY9VH1QPUn9Qn06fTM9LH0l/R59FP0JvP489HzsvOb84bzcfNf81fzWvNf81fzNfL38qvyY/Iv8hTyEPIb8i3yP/JH8jzyG/Hm8a3xffFg8VPxT/FN8UrxSPFJ8UrxSfFG8UfxUPFi8XXxfPFw8VbxOPEj8RzxHPEc8RjxE/ES8RfxH/Ej8SDxF/EP8Q7xFPEg8THxRfFh8YTxrfHa8gXyL/JW8nnyl/Kw8sLy0/Lk8vfzC/Mg8zXzTPNl84LzoPO989vz/vQs9Gf0q/Tt9SH1PvVD9Tj1LfUy9U/1hfXK9hP2WPaY9tj3G/dg96L31/f8+BT4Jvg6+FH4aPh5+IP4ifiU+Kf4wvjf+Pj5C/kc+TL5U/l9+ab5x/nd+fD6DvpC+pX7A/uF/BP8pf04/cX+Rv61/w7/VP+Q/80AEQBfALQBCwFfAa0B9QI5An4CwwMJA0gDewOkA8gD9AQyBIQE4QVEBacGDwaCBwAHggf4CFkIpgjpCS4JdAmyCdwJ8An5CgsKNgp5CsgLEgtRC4oLzAwiDIkM8g1LDYkNrQ3DDdUN6g4CDhwONg5QDm0Ojw62DuEPEQ9HD4MPwg//EDYQZBCNELUQ3xENET4RcBGmEeISJhJvErYS9hMsE1sThxO2E+YUFRQ9FGEUgxSoFNIVABUuFVoVhhWzFeQWGRZOFoAWrxbdFw0XPxd0F6cX1Rf+GCIYRxhwGKAY1BkGGTAZThljGXIZghmQGZkZlRmEGWoZURlBGTsZOBkwGR8ZBRjpGNEYvhiuGKAYlBiMGIgYhxiGGIMYfxh7GHgYdRhvGGUYWhhOGEEYMRgaF/4X4hfLF7wXsRehF4cXYhc5FxMW9RbZFroWlxZ0FlcWRBY2FiIWAhXVFaUVgBVvFXEVfhWJFYgVeRVgFUUVLBUZFQ0VBhUHFQ4VGhUnFS4VLRUlFRwVFhUVFRQVCxT1FNQUrxSQFHsUbhRiFFIUPhQoFBQUAhPvE9kTvxOkE4sTdBNfE0gTMRMaEwQS8BLdEsgSsBKXEoESaBJNEi8SEBH0Ed8R1BHSEdYR4BHsEfgSAxILEhMSHhIxEksSaBKCEpMSnxKsEsIS4hMFEyITMhM3EzgTPBNDE0ITLxMFEsoSjhJfEkMSNxIwEiMSDRH0EdwRyBG3EacRlBGDEXoRehGDEY4RmRGkEbQRzxH3EiUSShJXEkUSFhHVEZIRWREwERcRCREEEQgREhEfESgRJRETEPYQ0xCxEJEQcBBLECIP+g/VD7YPmQ94D1QPMQ8YDw0PDg8ODwEO3g6kDloOCg2/DYINWQ1EDT8NQA0/DTMNHQz/DN8MvwyeDHkMUAwkC/gL0gu0C5wLhQtnCzsK+wqtClgKCgnNCaQJhglrCUsJJgkACOEIyQi0CJoIeAhOCCQH/wfhB8YHpQd5B0IHBQbLBpoGcQZLBiIF8gW+BYcFUQUaBOAEoARdBBoD2gOdA2EDJALnAqwCcgI4AfkBswFkAQwAsABO/+r/hP8k/tD+kP5g/jf+Cf3L/Xn9F/yt/EX76Pub+2L7Ovsf+wr69frb+r76m/p1+kz6IPn3+dP5tvmd+YT5ZflC+SD5BPjt+Nf4vfib+Hf4Vvg7+CT4Cffo98T3p/ea95r3n/eh96D3pPe599/4Cfgg+BD31veC9yz25vaz9oj2VfYT9cf1fvVB9RP07PTC9Iz0TvQN89TzpfOA82HzRPMt8yHzIfMs8zrzQ/NA8zLzG/L/8uLyxPKp8pDye/Jo8lPyN/IR8eHxq/Fz8T3xC/Dd8LTwj/Bu8FHwN/Ak8BrwGfAb8BnwCu/u78jvo++D72zvWu9M7z7vM+8r7yTvHe8Z7xzvKe8+71LvXu9b703vPO8w7yfvG+8E7t/use6C7lbuM+4Z7gnuAe347eDtrO1Z7PfsnOxb7DnsK+wh7BPsAev16/Dr7Ovi69Trz+vl7BvsZuyu7OXtDe077YXt7+5q7trvK+9Y72rvb+9v72fvU+8u7vjusO5X7fDthO0k7N7suOys7LDsuezH7N/tAu0s7VHtZ+1s7W3teO2W7cPt8u4X7i3uOe5G7l/uhO6s7s7u4e7l7uHu3+7k7vLvAe8K7wnu/u7u7t/u1e7S7tfu5O737w3vIe8y7z/vTO9d73Xvk++279nv/PAg8Ebwc/Cs8PPxSPGj8fnyPfJu8pHytfLk8x/zXvOW88Pz6vQX9E/0kPTR9Qr1PfVx9a318vY59nn2sfbk9xr3Wvef9+X4Jvhj+J/43vkg+WP5pPnl+ir6c/rA+w37Wfum+/r8WPy8/R79eP3I/hf+bv7U/0X/tQAWAGIAlwC/AOIBBwExAWABkgHCAe8CGAI9AmMCkQLIAwgDTAONA8oEAwQ9BHgEswTqBR4FUgWLBcsGCwZFBnIGlAawBs0G6QcABw4HFAcZBykHRAdjB3oHgQd8B3YHeQeJB6EHuQfNB+AH9ggUCDYIWAh1CI8IqgjLCPQJIwlVCYgJuAniCgIKGAomCjAKNwo3CikKCQnZCaEJZwkuCPMIuAiHCHMIiQjGCRIJTAldCUYJFwjmCMAIogiICHIIZwhtCH4Ihwh1CEIH+we8B5sHnAezB8wH2AfYB88HxwfDB8IHwgfFB8gHzgfWB+EH8ggHCBoIJAgiCB0IJAhFCIQI0gkdCVcJgQmlCcMJwwl8CMUHjwX1BDgCpgGDAPEA7AFTAfMCngMwA5oD3AQCBBgEIgQgBBAD9gPZA78DqwOYA4ADXwM3AwsC4AK1AoYCUwIdAewBwwGiAYUBZwFEAR0A+ADZAMAAqgCSAHIARwAT/9b/kf9B/un+l/5p/nn+0P9R/8L/4v+V/vT+Rf3T/cX+DP53/tH/BP8Y/yD/J/8o/xf++P7b/tH+5P8G/yT/Mv8x/y7/Mv86/z7/O/81/zT/PP9K/1L/Uf9J/0X/Sf9V/1//Y/9j/2f/dP+G/5j/pP+u/7v/z//k//X//QAAAAUAEQAkADYAQABEAEcATgBbAGkAdgCCAI8AnwCyAMMA0ADbAOoBAAEaATEBQQFHAUoBTwFaAWgBdAF9AYABgQGBAYIBhAGGAYoBjwGVAZoBnwGlAasBrwGyAbMBswG0AbUBswGtAaMBmAGSAZQBmgGdAZoBkAGGAX4BewF3AW8BYgFVAU0BSQFHAUEBNAEiAQ4A+wDpANYAwQCtAJwAjQB9AGkAUAA1ABwACf/6/+r/2f/F/7H/n/+O/33/af9T/z3/Jv8P/vb+3v7H/rP+ov6Q/n3+Z/5R/jz+J/4P/fL90P2u/ZD9dP1a/T79H/z+/OH8yfyz/J38hPxn/Er8LvwT+/b71/u1+5L7cftQ+y/7DPro+sT6pPqI+m36Uvo0+hX59vnY+bz5ofmF+Wf5R/kn+Qj47PjT+L74qfiT+H74afhW+EX4M/gg+Az39vfj99L3xPe396r3nfeS94z3jPeP95L3kveP94n3hfeD94X3h/eJ94b3gfd793j3ePd693v3efd092/3bfdu9273ZfdS9zb3G/cI9wb3Evck9zH3Mfcj9xD3B/cY91D3qvgS+Gb4iPhp+Bb3svdp91v3j/fz+GX4x/kH+SP5I/kU+QD47fjh+N745vj0+QX5F/kq+UD5Wflw+YH5h/mH+Yz5nfm8+eD5+Pn8+e/54/nu+hr6Yfqr+t767vrc+rv6m/qK+oX6hPp9+m36WfpJ+kb6UPpf+mj6YfpG+h759fnX+cf5wvm++bb5qPmZ+Yz5gvl3+Wn5WvlN+UT5Pvk2+Sr5GfkL+QT5CPkP+RP5Dfj5+Nf4qPhu+C738Pe/95z3g/do90H3EPbf9rr2pfaT9nX2P/X39a/1e/Vi9WD1ZfVk9Vf1QfUn9Q309PTc9MX0sPSY9Hn0UvQl8/jz0/O686zzq/O489Pz8/QH8/3zyPNx8w/yvfKN8n7ygfKG8oTyefJo8lDyMfII8dvxsvGV8YTxe/Fz8WrxYvFf8V/xYPFi8WbxbvF88YjxivF/8WnxVPFI8UbxR/FF8TvxMPEq8SvxMPEy8SvxH/EV8RPxHfEw8UjxZPGH8bHx3/IP8jvyYfKD8qDyvfLX8vDzBfMY8yjzNvNG81nzc/OV87zz6fQZ9E70ifTH9QL1NPVT9V31VPVB9TL1MvVK9Xz1wfYN9lT2jfa89uj3F/dK9333qffJ9+D39PgJ+CD4NfhF+FD4Xfhx+JH4ufjh+QT5H/k3+VL5dfmd+cH52vnk+en5+Poi+nP65/t1/Az8oP0o/Z/+BP5Z/qD+4v8j/2r/uAAMAGUAvwEZAW8BwQINAlYCnALeAxkDRwNqA4kDswPxBEcEqgUPBWwFxAYgBoMG7AdSB7AICQhrCNwJWgnTCjMKbwqOCqMKvwrrCx4LUQuBC7YL+wxWDL0NIA1uDaENvw3UDeoOAg4ZDikOMg46DkYOWw56DqEO0A8HD0QPhg/HEAUQPBBvEKEQ0xEGETkRahGeEdcSGRJfEqQS4hMXE0QTcBOfE9AUARQrFFEUcxSYFMIU8RUiFVMVhBW0FeUWFRZGFnUWpBbUFwUXOBdqF5sXyhf2GB0YQhhoGJIYwxj2GScZThlpGXsZiBmVGaAZpBmbGYcZbRlYGUwZRRk+GS4ZFxj6GN0YwxitGJgYhhh5GHMYdBh2GHgYdxh0GHAYahhhGFUYRhg2GCgYGRgHF/AX1xfCF7IXpheWF34XXBc2FxEW8BbTFrUWlhZ3Fl4WTBY9FigWBhXYFaYVexVdFVAVTBVJFT0VJhUGFOQUwhSkFIkUcRRdFFEUUhRgFHcUkxSuFMcU3hTzFQAU/xTuFM8UrBSOFHgUZxRTFDkUGhP9E+cT1xPJE7YTmxN8E18TRxM1EyYTGRMLEv0S7RLcEscSsRKZEnwSaBJUEj0SIhIIEfQR7BHxEf8SDxIdEiYSKxIwEjkSSRJdEnISgxKOEpQSmxKrEscS7BMSEzATQBNBEzgTKRMXEv0S2BKmEnASQhInEiUSNBJFEksSQBIpEhER/RHwEeQR1hHHEbwRvBHKEeAR9hIFEg8SHBIwEksSZxJ1EmoSRBIJEcYRiRFbET4RMhExETYRPRFBET0RLREREO0QxhCjEIQQZxBIECcQBw/qD9APtQ+WD3EPTA8vDyIPJQ8wDzgPMQ8VDuEOmQ5EDe8NpA1uDUwNOQ0sDRwNBQzqDM0MsAyQDGsMPwwPC+ALtguWC38LbAtVCzEK+wq2CmwKKAn0Cc0JrQmJCV4JLwkGCOcI1AjDCK4IjghmCDwIFwf4B9oHtweMB1cHHQblBrEGggZUBiQF8gW+BYsFWQUlBOwEsARzBDcD/wPHA4sDSQMCAr0CfAI/AgABuAFmAQsArgBS//j/oP9N/wL+w/6P/mD+LP3s/Zz9PfzV/G38DvvC+4r7ZPtI+yz7Cvri+rn6k/pw+kz6Jvn++dj5uvmh+Yn5bflL+Sj5Cfju+NT4t/iV+HD4Tvgx+Bf3/Pfd9773p/eb95r3m/eb9533pve999v37ffj97L3ZvcS9sv2mvZ39lH2H/Xe9Zj1WfUl9Pn0zvSc9GH0IvPn87TzifNj8z/zHfMC8vPy8fL68wfzD/ML8vry4PLC8qPyhfJo8kzyM/Ia8gHx5PG/8ZLxYPEs8PnwyPCc8HPwT/Av8BLv/O/t7+nv7e/y7/Hv4O/A75fvbe9K7zHvHO8K7vju6e7d7tPuyO6+7rnuvu7M7tzu5u7i7tTuwe6x7qXume6H7m3uT+4y7hruCO397fvuAe4F7fnt0e2M7Trs8+zG7LDsm+x27EDsCuvv6/jsF+wv7CzsDuvt6+Dr7+wP7C/sSOxj7JLs4u1O7cbuOe6d7vDvM+9h73bvcu9X7yzu8O6d7i7tq+0p7MTsj+yI7Jvssuy+7MPszOzf7PvtFO0h7SLtJe037V/tmO3T7gXuKe5G7mTuiO6u7s7u4O7l7uTu5+7z7wbvF+8a7w7u9e7Y7r7urO6l7qjusu7B7tHu3e7m7u/vAe8d70Lva++R77Tv2PAA8DHwaPCl8OXxKfFv8bLx8PIm8lnykPLO8xDzTvOB863z2fQP9FH0lvTU9Qb1MfVi9Z715/Yz9nr2ufb29zX3efe99/74Ovh0+LD48Pky+XH5r/nu+jT6gPrP+x/7cPvE/CD8g/zm/UD9jv3V/iL+gP7x/23/4gBBAIMArQDLAOgBCgEzAWEBjwG6AeICCAIvAlsCjwLKAwoDSgOJA8UEAwRBBH4EtwToBRUFRQV/BcMGCwZNBoAGpQbDBuAG/QcWByYHLQcwBzgHSgdhB3QHfweDB4YHjgeeB7IHxQfYB+8IEAg6CGcIjwiuCMcI4wkICToJdgm2CfUKKgpPCmEKYgpaClMKTwpJCjYKDgnTCZAJUQkfCPUIzwiwCKMItgjqCTAJbQmJCX4JVwkkCPMIxwieCHoIZQhjCG8IdghjCC4H5AeiB30HfgeZB7gHywfMB8MHuQe0B7UHuQe/B8oH2gfxCA4IKgg9CEAIMwgiCCEIQQiFCNsJLAlkCYQJmQmrCaoJbgjFB5oGBARJAsABrwEzAUABrwJQAvkDjAP2BDQETAROBEoERgQ+BC0EDwPpA8MDpAOKA28DTgMlAvUCwwKRAl0CKwH7Ac4BpQF+AVcBMAELAOkAyQCsAJAAdQBaAD4AHv/4/8n/i/84/tH+Zv4X/gv+W/71/5wAAP/p/1r+k/3s/aX9xf4j/oT+xf7l/vX/A/8K/wD+4v69/qf+q/7D/t3+7P7x/vX/Af8Q/xn/Fv8O/wn/Dv8a/yH/Hf8T/w3/Ev8h/y//Nv83/zr/Rv9Y/2r/dv99/4X/k/+m/7b/wf/H/9D/4P/1AAgAEwAXABwAJgA2AEYAUgBaAGIAbgB/AJAAnQCoALUAxwDdAPEA/gEDAQUBCwEYASoBOwFHAUwBTAFIAUMBQQFEAUwBVgFgAWUBZwFqAW4BdQF7AXwBegF1AXIBcAFrAWQBWgFVAVcBXgFkAWMBWgFPAUYBQgE/ATkBLgEhARYBEAELAQQA9wDnANUAxACzAJ8AiQBzAGAAUgBFADMAGv/8/+D/yv+5/6v/nP+K/3b/Yf9O/zr/Jf8P/vj+4f7I/rD+mP6C/m/+Xf5J/jP+G/4E/e/92/3E/af9hf1j/UP9J/0N/PP81/y8/KL8i/xz/Fn8O/wd/AD75fvK+637jPtr+0r7LPsN+uz6xvqf+nn6Wfo/+if6Dvnx+dD5r/mO+XH5Vvk7+SD5Avjk+Mf4rPiV+H/4avhV+ED4Lfga+An3+Pfk98/3ufel95T3hfd392n3XvdW91L3UfdS91X3V/dY91f3VPdS91H3U/dW91n3WvdX91P3UfdS91H3TvdG9z33OPc59z73Qfc79yr3E/b+9vH27vb19v/3BPcA9vH23vba9vf3P/er+Bv4ZPho+CT3u/df9z33ZvfL+EX4r/jz+Q/5D/j++Of4z/i8+LX4u/jN+OX4/fkT+Sj5Qfle+Xr5kPme+an5uPnM+eT59Pn5+fT59foL+j36hfrN+wD7D/r8+tX6rfqS+oj6ivqP+o/6hvp3+mn6Y/pm+mv6afpZ+j36G/oB+fL57fnp+eD5z/m7+an5mvmN+YD5dPlt+Wv5aflj+VP5Pvkt+Sb5Kfks+SX5Efjx+Mz4ovhz+Dv3/vfG95r3e/de9zv3Dfbe9rn2o/aT9nn2SPYD9b31ivVz9XD1cPVn9VP1OfUi9Q/0/fTr9Nb0wfSp9I30Z/Q59Azz6vPc8+b0BfQy9GP0ivSV9Hb0K/PE81/zF/L48vby+PLq8sTykvJl8kXyMPId8gbx6fHM8bLxnvGM8XvxbfFk8WLxZvFt8XbxgvGN8ZbxlvGN8X7xcfFu8XLxePF28WvxXfFR8UvxSfFE8TnxLfEl8SjxN/FP8Wvxi/Gv8djyBPIw8lfydvKO8qTyvPLX8vbzFfMv80HzT/Nb82zziPOv8+H0HfRj9LL1BvVV9ZL1sfWw9ZT1bfVL9Tv1RfVo9Z/14vYm9mT2mfbH9vX3JPdU94D3o/e999H35Pf5+A34Hfgo+DL4Qfha+H74qPjT+Pn5Gfk1+VP5dfmb+b351Pnd+d755/oI+lH6wPtM++H8b/zq/VD9pf3v/jX+fP7J/xv/cf/KACUAggDfATkBjQHZAiECaAKvAvIDKwNVA3YDmgPPBBsEeQTbBTgFjQXgBjQGiAbYByQHdAfYCFkI9AmVCiIKiQrKCvALCwslC0ELYAuGC7wMCQxpDNANLQ10DaUNxw3kDgEOGg4qDi4OKA4iDiIOLg5GDmkOlQ7KDwkPTg+VD9kQGRBTEI0QxhD+ETURahGdEdISDBJKEokSwxL5EyoTWhOLE70T7RQaFEIUaBSOFLYU4xUTFUYVehWtFd4WDBY3FmQWlRbJFwAXNhdoF5cXxBfvGBcYPRhgGIQYsBjjGRoZShluGYQZkRmcGacZsBmxGaYZkhl8GWsZYBlYGUwZOxkkGQkY7RjQGLEYlBh+GHEYbhhwGHQYdRh0GHAYaxhhGFEYPRgpGBcYCRf7F+oX1hfAF6oXlBd8F2EXQhchFwIW5xbOFrUWmhZ+FmUWThY4Fh8V/hXWFasVgxVgFUUVLRUVFPgU1hSxFI0UbBRPFDEUDhPpE8cTsxO0E8gT6RQPFDQUVBRwFIYUkRSQFIQUcxRmFF0UUxRCFCQT/RPXE7sTqhOfE5MTgBNmE0oTMBMaEwkS/RL0Eu0S5RLYEsUSrRKUEnYSZRJZEk0SPBIoEhcSEhIaEiwSQBJNElESUhJXEmYSfBKTEqISphKiEp8SqBK/EuQTDhMyE0cTSBM3ExoS9hLSEq0ShhJdEjUSGhIXEjASXRKNEqsSrxKcEoISbRJiElsSUBI/EjASLhI+El0SexKOEo8ShxJ/En4SgxKDEnQSUBIcEeERrBGGEXIRbBFtEW4RaBFbEUQRJxEFEOEQvxChEIgQchBcEEMQKRAPD/QP2Q+8D5wPfA9gD0sPQQ9CD0kPUQ9PDzsPCw7ADmAN+w2iDV4NMQ0UDP8M7AzYDMQMrQyRDGsMPAwHC88LnAtzC1ULQAstCxEK5wquCm8KNQoGCeEJvgmUCWIJLgkCCOUI0wjDCK0IjQhmCD8IHQf/B+IHvweUB2AHJgbsBrQGfwZNBhsF5wW0BX8FSQURBNQElgRbBCUD9QPEA44DTgMIAsMChAJKAg4BygF6ASEAxwBuABn/yP97/zP+8/67/on+Vv4b/dT9gP0j/MP8afwe++X7uPuO+1/7J/rq+rP6h/pm+kj6KPoD+d/5wPmo+ZL5ePlY+TX5Ffj4+N74wPib+HP4S/go+An37PfP97b3o/eZ95X3kfeN94z3lfen97f3s/eP90z2+vav9nv2WvY/9hr15PWk9Wb1MvUG9Nv0q/Ry9Dbz/fPL85/zdfNL8yDy+fLa8snyxfLL8tXy2fLS8sDypPKE8mXySPIt8hHx9PHW8bbxlPFu8UfxH/D18MzwoPB08ErwI/AB7+Xvz+/B77vvvO+/77vvqu+M72XvPe8c7wLu6+7V7r/urO6f7pbui+597m7uY+5f7mLuZu5m7mDuV+5O7kLuL+4U7fTt1+3D7bztvu3H7dbt6e377gLt9O3T7a7tle2S7ZXtg+1L7Pbsp+yJ7Kzs+O067UXtDOyn7D/r9uvT68frw+vF69Xr/uxG7KftGO2Q7gvugO7l7y/vXe9w727vUe8Q7qLuD+1z7PPsreyh7Lns0ezT7L/sp+yh7LLsz+zo7PLs8+z67RXtR+2H7cbt++4k7kjubu6U7rXuye7R7tLu1+7l7vnvC+8R7wbu7e7N7q/ul+6L7orule6m7rbuwO7E7sru2+767yPvTe9w747vsO/d8BjwXPCh8ODxG/FT8Y3xx/IC8j/ygPLE8wXzPfNr85XzxPQA9Ef0jvTM9P71K/Vf9aD16/Y69oT2yvcP91T3mffa+BT4TPiH+Mf5CflJ+YT5vvn++kf6mPrr+zv7i/vh/EP8q/0Q/Wf9rv3v/jr+m/8R/43//QBVAI8AtgDVAPUBGwFFAW4BlQG4AdsCAAIpAlkCjwLKAwgDRwOHA8cEBwRGBIAEswTgBQoFOAVyBbcGAgZJBoUGtAbZBvkHFgcrBzgHOwc8B0AHTQdiB3kHjgeeB6sHuAfEB9AH3AftCAoINQhrCKII0AjxCQsJJglMCYIJxgoSCl0KmwrDCs0KvAqbCnkKYApNCjUKDAnPCYkJSwkfCQMI7gjbCM4I1wj9CTwJfwmtCbUJmgllCSYI5gipCHYIVQhLCFAIVAhDCBUH1QeZB3oHfweeB8IH2wfiB90H1wfVB9kH4AfmB+4H/AgTCDEITgheCFsITQhFCFkIkwjpCT8JfAmVCZgJlQmNCV8I0wfDBjcEcgLYAcIBVQGAAgcCrgNLA8wELQRtBI0EkQSCBG8EYARRBDwEGwPyA8YDoAOAA2IDPwMUAuACpgJoAiwB9gHHAZ4BdgFNASAA9gDTALgAoACGAGYARAAjAAf/7P/N/6X/bv8l/sX+Vf3w/cL98v6H/1D/9gAo/8n/Bv45/bj9pP3h/jf+ef6c/rH+x/7d/uT+0v6u/o7+gf6I/pX+nv6i/qr+u/7R/uL+5f7f/tv+4P7q/vH+6/7f/tf+3f7u/v//Cf8L/w3/F/8p/zn/Qv9F/0n/Vv9r/4D/kP+b/6b/tv/K/9z/6P/v//cABAAVACQALAAvADMAPgBPAGIAcgB9AIgAlgCmALMAugC6ALsAwQDQAOUA+wELARIBEQEJAP8A+gD+AQwBHwEuATUBMgEuAS0BMwE7AT8BPQE4ATQBMgExASwBJAEdARwBIgEqAS0BJwEcARIBDgEMAQoBAgD2AOgA3ADRAMUAtgClAJUAhwB3AGQATQA1ACEAEwAG//j/4//I/63/lv+C/3L/Yf9O/zr/Jv8Q/vr+4/7L/rP+m/6C/mr+U/4+/iz+Gf4F/e791f29/ab9jv10/VX9M/0R/PT82/zE/K38lfx+/Gb8Tfwx/BL78PvQ+7P7mft++2D7P/sd+v764vrF+qX6gPpZ+jT6FPn5+eD5xvmp+Yr5aflJ+Sr5Dvjy+Nf4vPii+Ij4cfha+ET4LvgY+AP37vfc98r3t/ej9473d/di9073Pvcw9yX3Hvca9xb3E/cR9xP3Gfch9yf3KPcj9x73HPcf9yb3LPcs9yn3Jvcl9yb3JPcd9xL3CfcH9wv3EPcQ9wj2+vbo9tj2zPbH9sj2zvbT9tD2w/a59sb2/Pdc9874J/hA+BH3tvdi90X3cvfZ+FL4tvjx+QT4+/jk+Mn4rfiY+JD4m/i1+Nb48/kJ+Rn5LflJ+W35kfmv+cX51vnn+ff6A/oH+gf6Dvoo+lr6nvrj+xb7Kfsa+vT6yPqo+p36p/q8+s360frD+qv6lfqL+oz6j/qH+nH6Uvo2+ib6IPob+hD5+/ng+cb5sfmh+ZT5jfmM+ZH5lvmT+YP5a/lW+Uv5SvlI+Tf5Ffjm+Lb4i/hg+DH3+/fF95j3efdg90H3Fvbl9rj2mPaC9mf2PfYF9c31o/WO9Yf1f/Vt9VP1OvUn9Rr1DfT69OH0xfSq9Iz0aPQ/9Bn0BfQM9C70X/SR9LX0wPSs9HX0JPPK833zUfNG80nzQPMY8tPyhfJG8iXyHfIc8hPx/fHf8cDxpvGQ8X7xbvFk8WHxZfFu8Xrxh/GS8ZrxnPGW8Y7xifGL8ZPxm/Gd8ZfxjfGC8XnxcfFn8VnxTfFJ8VDxYfF58ZPxrvHL8ezyEPI08lTybPJ/8pDypfLA8uLzB/Mn8z/zUfNg83bzl/PH9AL0R/SV9Or1QvWP9cL10PW79ZD1Y/VG9UT1XPWH9bz18/Yo9lr2jfbD9v73O/dy9573uvfM99n35/f2+AT4D/gY+CP4N/hU+Hn4ovjL+O/5D/kq+UT5X/l9+Z/5vvnV+eT58/oQ+kv6qfsi+6b8JPyS/O/9QP2N/dz+L/6G/t7/OP+U//IAUgCyAQwBXAGiAeQCLAJ8AtADHQNWA3wDmgPBA/0ETwSuBQ4FaAW6BgcGTgaOBssHDwdnB94IcQkRCakKKAqICskK8wsQCycLQwtuC7AMCAxvDNQNLQ1zDakN1g37DhcOJg4nDhwODQ4DDgMODg4iDj8OZg6ZDtkPIQ9uD7gP/RA8EHcQsxDwESsRZBGZEcsR/RIxEmcSoBLZExETRxN6E6wT3BQLFDkUZRSPFLcU4BULFTsVbxWiFdMV/hYnFlIWhBa+FvoXMxdnF5YXwRfsGBUYOhhaGHkYnxjPGQcZPxlsGYoZmxmmGbEZvRnFGcIZtRmiGY8ZgRl4GXAZZRlXGUQZLBkNGOcYvhiYGHwYbBhnGGcYaRhsGG4YbRhmGFcYQRgoGBIYARfzF+UX0he5F5wXfxdhF0YXKxcRFvkW4RbJFrAWlBZ3FlsWQBYmFgwV8RXVFbUVkhVrFUIVGBTsFL4UkRRlFD8UIRQJE/IT1xO0E5ETdhNrE3ITgROQE5sToxOvE78T0hPjE+0T9RP/FA0UGxQfFBMT9hPRE64TlROFE3oTbhNdE0gTLxMVEv4S6xLhEt0S3BLVEsUSqxKPEn8ScxJuEmsSZBJXEksSSBJSEmUSeBKCEoESfhKCEpISrBLDEs4SyRK+ErwSzRLxEx8TRxNdE10TRxMkEvwS1hK2EpsSgRJlEkgSNxI+EmcSqhLvEx4TKRMWEvkS5RLiEuYS4hLRErgSqRKtEsIS2hLlEt0SyBKxEqASlRKGEm0SRRIVEeURvxGpEaARoBGeEZQRfhFeEToRFxD2ENoQwBCoEJQQhBB1EGUQUBA4EB8QBw/zD+APzA+zD5QPcw9YD0kPTA9aD2MPVA8gDsYOVQ3iDYANOA0KDO8M3gzRDMUMtQybDHUMRAwJC8oLjwtcCzYLHQsJCvMKzwqeCmQKLQoACdsJtwmMCVkJJwj+COIIzwi7CKEIfghYCDUIFgf7B94HuwePB1oHHgbfBqIGaQY2BgYF1gWkBW8FNwT7BLwEewQ8BAQD0gOjA3EDOAL8AsACigJYAiQB6AGhAVEA/wCtAFoABv+z/2L/Gv7e/qr+e/5K/hD9zP1+/Sv82vyR/FT8Hvvm+6X7XPsQ+sz6mPpy+lP6MvoO+er5zPm1+Z/5hvln+UX5JPkI+Oz4zPil+Hn4T/gp+Ar37vfU9733qved95L3hvd793X3dvd893r3ZPcw9uf2m/Zf9jr2I/YI9d71pPVm9TD1BfTh9Lf0hfRL9BHz4PO1847zY/M18wby3PK88qnyn/Kd8p3ymfKP8nzyYvJF8ijyDPHy8dfxu/Ga8XfxUvEu8Q/w9PDb8L7wmfBs8DvwDe/m78fvsO+d75DviO+E737vce9a7zvvGu787uLuyu6x7pjugu5y7mXuVu5B7ifuDO357fDt7+3w7fDt7O3i7dDtsu2L7WLtQ+037TvtS+1d7W7tfu2O7Zrtnu2d7aHttu3d7gPuCu3f7Y/tRe0v7WLtxe4c7i/t5e1W7LLsJ+vK65TrdOth613rb+ub693sMeyU7QTtf+387nPu2e8q72Lvde9X7v7ude3Z7VTtBuzz7QLtD+0B7NXso+yG7I3ssOza7PbtAO0B7QrtJu1T7YftuO3j7gruM+5e7oPunO6m7qbup+6y7sbu3e7v7vfu8e7i7s7uue6p7qXure697s7u2O7b7t3u6O8C7yTvRu9h73rvme/I8AnwU/Cb8NzxFvFN8YTxvvH48jTyc/Kz8vHzKPNW84HztPPy9Dn0gPS/9Pb1K/Vo9a71+vZF9o321Pce92j3rvft+Cb4Yfii+Oj5Lflq+Z/51foW+mX6uvsL+1X7nvvx/FT8w/0w/Yz91v4Z/mb+xf80/6UACABSAIcArwDVAQABLQFaAYEBoQG+Ad0CAQIrAlwCkgLLAwkDSgOOA9EEEgROBIMEsgTdBQcFNQVsBawF8wY7Bn8GuQbnBwoHIwczBzsHPwdEB04HYQd6B5cHsQfGB9UH3wflB+sH9ggLCC8IYgieCNsJDgk1CVQJcQmWCcYKAgpICpEK1AsDCxIK/grPCpcKZgpBCiIJ/AnJCYwJVgkwCRwJEQkGCPsI/QkZCVAJkwnKCd0JxwmPCUQI9QirCG4IRwg3CDgIPQg1CBUH5ge5B6QHrQfNB/MIDQgYCBcIFAgWCBwIIggkCCQIJwg0CEoIYwh2CH4IgwiVCMIJCwleCZ0JtgmpCYYJXAkgCKkHyAZuBMMDIgHzAXQBogJAAvsDmgQIBE8EgQSkBLQErwSZBH0EYwRMBDMEEQPnA7oDjwNoA0IDGgLtArkCfQI7AfkBvAGJAV8BOAEPAOQAvQCfAIkAdgBcADoAFv/3/93/wf+c/2z/Nf75/q/+T/3i/Y39hv3v/rP/hP/+/+P/QP5r/cX9hv2l/e3+KP5G/lX+bP6N/qj+rP6X/nn+Y/5e/l/+Xv5b/l7+bv6G/pz+pP6h/p3+o/6w/rr+uv6y/qz+sf7C/tT+3/7h/uP+7f7//w//GP8Z/xr/Jf86/1H/Y/9t/3b/g/+V/6j/t//C/8z/2f/o//T/+v/7AAEADgAiADgASQBUAF0AZwBxAHgAeAB0AHMAegCKAKEAuADKANMA0wDLAMAAuQC+AM8A6AD9AQUA/wDzAOwA7gD2APwA/AD3APQA8wD1APMA7ADkAOIA5gDvAPUA8wDqAOEA3QDcANwA1gDKALoAqQCXAIYAcwBiAFEAQwA1ACQAD//4/+T/0//H/7r/qv+W/4H/av9V/0D/Kv8U/v/+6f7T/rr+of6H/m7+Vv4+/if+Ef38/ef90/2+/af9kP14/WD9Rv0p/Qj85vzH/Kz8lvyA/Gr8U/w7/CP8Cfvr+8v7qfuK+277VPs5+xn69/rV+rX6mPp7+lz6O/oZ+fj52vm9+aD5gvlj+UX5KPkL+O740Piz+Jf4fvhm+E/4OPgi+Az39ffe98f3sfed94r3ePdk90/3N/cg9wv2+fbr9uP24Pbe9tv21vbR9tL22vbn9vP2+fb19u/27fbz9v33BfcF9wD2+vb69v33APb99vT26fbi9uD24fbf9tn2z/bD9rf2qvae9pj2mfag9qP2n/aY9qD2y/ch94336PgP9/f3uPeB93z3t/gc+IX40Pjv+Or40vi0+Jf4fvht+Gr4efiX+Lv42vju+Pv5C/km+U35ePmh+cH52/nw+gP6EPoX+hv6Ivo3+mD6mvrZ+wz7J/sk+wv66frQ+sz63/sC+yP7Mvsp+w768frg+t763/rV+rn6kvps+lb6TvpL+kD6J/oG+eX5yvm2+ab5m/mZ+aH5rvm2+bD5nPmD+XD5Zvld+Uj5H/jo+K34d/hH+Bn36Pe495H3dvdi90n3Ivbu9rr2jvZt9k/2LPYD9dr1u/Wp9Z71j/V79WL1TfU/9TP1IfUG9OX0xPSo9I30b/RQ9Df0MfRG9Gz0k/Sn9J70evRE9Ajz0POi84XzePN2827zT/MR8rzyZ/In8gnyBPIG8gDx6/HO8bLxnfGN8YDxcvFn8WLxZfFt8XnxhPGO8Zbxm/Gc8ZrxmPGa8Z/xpfGr8a3xrfGq8aXxm/GN8Xzxb/Fr8XPxhPGa8bDxxPHZ8fDyCvIl8j/yVvJq8nzykfKr8svy7/MR8y7zRvNe833zqPPd9Bn0WfSb9N/1IvVb9X/1hfVx9VH1NvUx9Ub1b/Wj9dj2BvYv9lf2hPa89v73Q/eA9673yffW99/36vf19//4B/gQ+B/4Ofhb+IL4qPjN+O/5Dvkn+Tr5S/lj+Yj5t/nn+g76K/pH+nL6tvsR+3n74Pw+/JP85v08/Zj99f5R/qr/A/9f/78AJACHAOEBLwFxAbEB+gJQAq4DBQNHA28DiAOmA9gEJQSFBOoFSQWbBeIGIgZeBpsG3gcuB44H/wh9CP8JfQnvCk0KkgrBCuYLEAtNC6QMDAx4DNwNMA14DbYN6g4PDh8OGQ4FDe8N4Q3gDeoN+g4ODiYOSQ55DrkPBA9TD6AP6BApEGYQohDfERsRVhGMEbsR5xITEkUSfRK6EvkTNBNpE5sTzBQAFDUUaRSYFMEU5hUNFTkVaRWbFckV8hYaFkUWeRazFvEXLRdiF5IXvxfrGBQYNxhVGHIYkxjAGPcZMhlmGYwZpBmzGb4ZyRnRGdAZxxm4GacZmhmRGYoZgxl6GW4ZXBlAGRoY6xi5GIwYaxhXGFAYUBhWGF0YYhhhGFUYPxglGAwX+BfpF9kXxherF4wXbRdPFzYXHxcKFvMW2ha+FqAWghZkFkcWLBYTFf0V6hXYFcIVoxV6FUcVDhTTFJgUXxQpE/sT2RPEE7cTqxOdE40TgRN8E3sTdRNjE0cTKRMWExQTIRMyE0ETUBNjE4ETqBPOE+UT5hPSE7ETkBN2E2UTWxNTE0gTNhMeEwIS6RLaEtQS1RLSEscSsBKWEpcSjhKNEpASjxKKEoQShBKPEqISsxK6ErYSrxKvEr0S1BLnEuwS5RLcEuQTAxMzE2MTgROCE2kTQxMdEv8S7hLnEuIS1hK/EqISjRKTEr0TAxNKE3cTexNhE0MTORNGE1oTYBNKEyQS/xLsEuwS8RLvEuASyxK3EqkSmxKFEmISMxIEEdwRwxG4EbYRthGwEZ4RgBFaETQRFBD6EOUQzxC5EKQQkxCFEHgQaRBYEEgQPhA8ED0QORAkD/gPug94D0YPMw8+D1cPZA9MDwYOmg4gDa4NVA0WDO8M2AzMDMMMtgyfDHsMSQwPC9ALkwtdCzILEwr8CuMKvgqMClIKGQnpCcIJnQlzCUQJFQjtCNAIuAifCIEIXwg8CBsH/QfeB7sHkwdlBy8G8wazBnMGOQYGBdgFrAV9BUsFGQTlBK4EcwQ1A/cDvAOGA1MDHwLsArsCjgJjAjYCAQHFAYMBPgD3AKgAUf/z/5b/Q/8A/sz+of54/kr+Ff3W/ZH9Sf0C/MD8f/w8+/T7pftX+xD61vqn+n/6V/ov+gn56fnO+bX5mvl7+Vv5PPke+P/42viv+IP4Wvg6+CD4CPfw99b3vPel95D3fPdp91r3UPdG9zP3DfbS9oz2SvYZ9fz15/XK9Zz1YfUn9Pj01fS19I70XvQn8/TzyPOh83rzTfMc8uzyxPKl8o/yfvJv8mLyVPJG8jXyIfII8ezxz/Gz8ZjxffFg8T3xGPD18Nrwy/DB8LXwm/Bw8DvwBu/Z77jvnu+I73LvYe9W71DvSO867yTvCO7r7tHuuu6i7ojube5T7jjuGe307cztp+2O7YHtfe167XPtZu1R7TXtE+zu7M3suey27MDsz+zY7Njs0+zP7M/s0ezX7OjtC+1B7Xvtnu2a7XLtR+0/7W7twO4H7hLtyu1A7J3sB+uW60jrFOr26vDrBOsv62nrp+vo7DLsj+0B7YTuCu6H7uzvLO857w/ute5E7dztl+167XTtae1D7QHstuyB7HPsjuy97OvtCO0U7RvtJ+0/7WDtg+2n7c3t+O4m7k/uau5z7m7uae5t7oHuoO7E7uXu/u8M7w7vBO717uju5e7r7vbu/+8C7wXvDe8g7zrvVe9r74Dvnu/K8AbwSfCL8MrxBfFA8Xzxt/Hu8iXyXvKc8tvzFfNI83bzqPPj9Cb0bPSu9O71MPV29cD2CPZN9pD21vch92/3uPf5+Df4efjD+RH5WPmR+cL59vo4+oj62fsg+1z7mfvl/Ev8w/08/ab9/v5N/qD+/v9i/8AADwBLAHkApADTAQcBPAFrAZIBsAHKAeYCCAIyAmMCmQLTAxMDVwOdA+IEIARWBIcEtAThBQ4FPAVuBacF6QYyBn0GvwbzBxQHJgcvBzcHQQdSB2kHhQekB8EH2AfnB+4H8Qf0B/4IEggyCF0IkQjLCQQJOglqCZQJugneCgQKLQpeCpYK0wsHCyILGgruCqsKZQoqCf8J2wm1CYsJYwlJCT4JPQk/CUAJRwleCYgJuwnjCe0J0QmVCUgI+AivCHQITAg6CDoIQQhDCDQIGAf9B/MH/wgdCDwIUQhWCFIITAhMCE4ITghKCEUIRQhSCGsIiQikCLkIzQjuCSMJZwmnCcsJwgmPCT0I0ghBB24GRgTbA2cCQgGyAckCXQMfA8kEOQRzBJQErgTEBMwEvwSfBHgEVAQ2BBgD9gPOA6IDdANEAxIC4QKyAoICTgISAdABjwFXASkBAgDcALQAjwByAFwARgApAAb/6P/T/8P/qv96/zr++f7D/pH+Sf3e/Wj9JP1Q/fb+1f9//5v/HP5K/ZP9Qf1Y/aT95f4B/gX+EP4v/lb+bf5r/ln+SP5A/j3+N/4t/ij+Mv5I/l7+aP5l/l7+YP5u/n/+if6J/oj+jv6c/qv+tP62/rr+xv7a/u3+9/74/vf+/v8P/yP/Mv86/0H/TP9e/3P/hv+U/57/qf+0/73/wf/F/87/3f/zAAcAFgAfACcALwA3ADoAOAA0ADMAPABOAGQAeQCIAJEAlACRAIoAhACGAJUArADCAMwAxwC7ALEAsAC3AL0AvgC5ALQAswC0ALQAsQCrAKkArQC2AL0AvwC6ALIArQCsAKoApACXAIUAcQBdAEoANwAjABEAAf/y/+P/0f++/6v/mv+L/33/b/9h/1D/Pf8m/w3+8/7Z/sL+rP6U/nr+X/5D/iv+Ff4A/ev91f29/aX9jf10/Vz9Rf0v/Rn9Afzl/MX8pfyI/G/8WPxB/Cj8Dvv1+9z7wvum+4j7avtO+zP7Gfr9+t36uvqY+nj6Wvo7+h35/vnh+cX5qfmL+Wn5Rvkl+Qj47fjT+Lb4mPh7+GH4Sfgx+Br4Avfr99P3vPel9433dvdh9073PPcp9xX2/vbo9tP2wfaz9qv2qPam9qP2nfaX9pf2nvar9rn2wPbA9r/2w/bQ9t/26Pbo9t/21/bV9tr23/bd9tX2yvbC9r/2vPa39q72o/aZ9o/2g/Z19mz2afZu9nL2cPZt9nj2pvb992v3y/f99/r32ffE99r4H/h6+MX46Pjg+L74l/h3+GD4UPhH+Eb4U/hr+Ir4pvi9+ND45/kG+S35WfmB+aX5w/ne+ff6DPob+iX6MPpC+mD6jPq9+ur7CPsU+w/7A/r9+wj7J/tU+377lfuS+3n7XPtI+z/7OPsj+vr6xPqT+nb6bPpq+mD6SPol+gL55/nQ+bz5qfmd+aH5svnH+dH5x/mu+ZH5eflm+U75KPjw+K/4b/g2+AT31vet94v3c/df90f3I/bz9rz2ivZg9j72HvX+9d/1xfWy9aL1k/WE9Xb1avVf9U71MvUO9Or0zPS39KX0kfR69Gz0cPSG9KP0rvSW9Fv0DfPG85nzivOR857zpfOd83/zSvMC8rHyZvIv8hDyAvH58erx1fHA8a/xpfGd8ZLxg/F08WvxafFt8XXxffGE8Y3xlvGd8Z/xnvGb8ZjxmvGh8arxtfG88bvxsPGc8Yfxd/Fz8X3xkPGm8b3x0fHk8ffyC/Ig8jXyS/Ji8njyjfKk8r7y3PL88xzzO/Nc84HzrPPd9BD0P/Rs9Jn0xPTs9Qn1FvUV9RH1FfUp9VD1g/W79fD2HfZD9mT2iva59vP3NPdv95v3t/fH99P34Pfu9/v4BfgR+Cf4Rvhs+JL4tPjT+PL5EPko+Tr5S/lm+ZX52Pog+lz6hPqd+rf64Psd+2f7tPv9/Ef8mPz0/Vj9vf4d/nf+z/8q/4r/7wBUALEBAgFKAY8B2gIvAocC2AMUAzkDUgNxA6cD+QRfBMsFLQV9Bb8F+wY5BoAGzgccB2kHswgECGUI2AlUCcoKKApsCqAK3AsvC5oMEAx+DNwNKQ1uDa0N4Q39DfsN4Q2/DakNqQ27DdQN7Q4CDhkOOw5sDqsO9A9CD40P1RAZEFgQlBDOEQgRQRF2EaQRzhH3EiYSXhKeEuETHxNXE4oTvRP1FC8UZxSXFMAU5RULFTYVZhWVFcAV6BYRFj4WcxauFusXJhdcF44XvRfqGBMYNRhTGHAYkhi9GPIZLBliGY4ZrBm+GckZ0BnSGc8Zxxm8GbEZqBmhGZgZjhmBGXQZZRlPGTAZBRjRGJ0YbxhPGD0YNxg7GEMYShhLGEIYLxgXGAEX7xfiF9YXxRetF44XbBdLFy8XFxcAFukWzhayFpYWexZhFkcWKxYQFfkV5xXbFc4VtxWSFV0VGxTTFIoUQRP9E8MTmROAE3cTdxN6E4ATiBOSE5YTixNrEzoTBRLdEskSxBLEEr8SuhK+EtgTCRNHE4ATphOwE6ITiBNsE1gTTRNIE0MTORMnEw4S9BLfEtMSzxLNEsYSuBKmEq4SqBKnEqsSrxKyErQSuhLFEtYS5RLrEucS3xLdEucS+BMFEwYS/hL7Ew0TNhNrE5UTohOQE2oTRRMxEzITQhNTE1sTUBMzEw4S8xL1ExkTVBOLE6MTlhN0E1wTYBN9E5sTnhN7E0ETCRLmEtkS1RLOEr8SsBKlEp8SlBJ7ElMSIhH0EdERvRGzEbARrRGmEZcRgBFjEUYRLREZEQYQ7xDUELgQoRCPEIIQeBBvEGwQcxCDEJUQnBCIEFIP/g+dD0oPGQ8TDyoPQw9BDxUOvw5RDeENfQ0sDPEMygy1DKoMoAyPDHEMRgwTC9sLpAtwC0ILHAr8CtsKswp+CkEKBgnSCacJgAlUCSQI8wjICKQIhAhmCEcIKggNB/AHzgekB3QHQgcPBtsGowZoBi0F9gXHBZsFbwVABREE5wTCBJ4EcwQ9A/8DvQN+A0UDEQLhArUCjAJkAjoCCgHVAZ4BZgEqAOUAkQAx/9D/d/8w/vv+0f6r/oP+Vv4k/er9qv1l/Rz80vyI/D779Put+2v7L/r5+sf6mPpq+kD6Gvn3+db5tvmZ+X35YflE+SD49fjF+Jj4cvhX+EH4K/gR9+/3yvel94P3ZfdL9zT3HvcH9uf2uvZ/9j/2BfXa9b31pPWE9Vb1IPTs9MH0ofSD9GH0NvQH89rzsvOL82HzMfL+8s7ypvKI8m/yWPJA8ijyE/ID8fTx4/HO8bLxk/F18VvxRPEr8Qnw4PC28JfwivCM8JHwifBr8DvwBO/V77Tvm++F72zvVe9E7zzvN+8u7xvu/+7g7sTurO6X7n/uYe477g3t2O2f7WjtPO0g7RPtDO0E7PLs2Oy77KHsiux57GzsZ+xp7G7sbuxj7EvsLuwU7APr++v67ALsF+w77Gvsl+yw7LTsrOys7MDs4ez47Ovsr+xL69brZesD6rPqd+pU6lPqd+q26v/rQOt066Tr4uw77K/tM+207iLuc+6i7q7une537kjuG+347dnts+157Sjsy+x47ETsPOxb7I7sw+zt7QrtIO027U3tZu2C7aPty+337h7uOO4+7jfuLe4v7kLuZu6W7snu+u8i7zvvQO807x/vC+8A7wDvBe8M7xTvIO8z70vvZO9775Pvsu/a8AvwP/B18Kzw5/En8WjxpfHc8hDySfKJ8s7zDfNC82/znPPQ9A70UvSZ9OL1LvV89cj2D/ZQ9pD21/cl93b3wvgH+Ev4lPjm+Tj5f/m4+ej6Hvph+qz68vsp+1T7hfvP/Dj8t/07/bT+Hv5+/tz/Of+R/90AGgBLAHcApQDZAREBSQF6AaIBwAHaAfQCFAI9Am4CpgLjAyYDawOwA/EEKgRdBIwEugTqBRoFSQV5Ba8F8AY8BosG0AcCBx4HKgcwBzsHTgdqB4sHrQfLB+QH9Af7B/wH/ggICB4IQAhpCJUIwQjtCR0JUgmLCcMJ9goiCkUKYwqBCqUK0Qr9CxwLHgr6CrYKYwoWCdsJtAmaCYMJbwljCWQJcgmHCZ0JsQnFCdwJ7wn2CecJwAmHCUYJBAjICJMIbAhVCFAIWAhgCF8IVghNCE0IXAhzCIYIjQiHCHsIcAhpCGMIWQhOCEkIVQh2CKYI2Aj9CREJHQksCUoJcQmTCZgJcgkZCI8H1AblBcQEgwNOAmAB6wIBAoUDOAPcBEsEhQSiBLkE0gTjBOAExASYBGgEPQQYA/UD0QOrA4MDVQMgAuUCqwJ4Ak0CIwHxAbQBcgE2AQYA3gC5AJMAbgBPADMAF//0/9D/tv+t/6r/mP9n/xz+0f6b/nX+PP3W/U/85vzp/Xb+Vv8X/0z+1/39/TT82Pz3/Vn9sv3Y/df90/3l/gj+J/4x/ir+IP4e/h/+G/4O/gT+B/4Z/jD+O/43/iz+Kv41/kn+Wv5j/mX+af5z/n3+hP6H/oz+mf6t/sL+zf7P/s7+0/7h/vP/Af8K/xL/Hv8w/0b/Wf9n/3H/ev+D/4v/j/+T/5r/qP+5/8r/1//g/+j/8v/6//7//P/5//wACAAbAC8APgBIAE8AVQBYAFgAVQBUAFsAawB+AIkAigCCAHsAegCAAIYAhwCBAHoAdgB1AHYAdQBzAHQAeQCBAIkAjACJAIQAfwB7AHcAbQBeAEoANQAiABD//v/s/9j/xf+z/6P/k/+E/3T/Y/9T/0P/NP8m/xb/A/7s/tD+tf6b/oT+bv5W/jz+IP4F/e392f3F/bD9mv2B/Wb9S/0v/RT8/Pzn/NL8vPyi/IX8Z/xM/DP8GvwB++f7y/uy+5r7gvtp+077M/sY+v364vrF+qX6hfpn+kn6K/oL+er5y/mv+ZX5evlb+Tf5E/jx+NP4uPib+H34XvhC+Cn4FPf+9+b3zPey95r3gvdr91L3Ovck9xH2//bt9tr2xvaz9qP2lPaJ9oD2evZ29nH2a/Zl9mP2Z/Zx9nv2gvaF9on2lPan9rv2yPbJ9sP2vPa69r32vva49q32o/ae9p72n/aa9o/2gPZy9mT2VPZF9jz2O/ZB9kT2QvZA9lL2i/bw92r31PgP+Br4DvgQ+Df4fvjG+PH47/jJ+Jb4afhN+D74Nvgw+C34Mfg/+Fb4dPiW+Lr44PkG+Sv5Tvlt+Yr5pfnA+dz59/oQ+ij6PvpW+nL6kvqz+tL66/r9+wn7Evsg+zr7YPuQ+7372vvd+8r7rPuR+3/7bftO+x764fqq+ob6ePpy+mb6TPop+gn58/nk+dT5v/mr+aX5svnN+eX56fnV+bH5i/lq+Uv5JPjw+LD4bfgv9/z30veu94/3c/dY9zz3Gfbu9r72jfZg9jr2GfX69dz1wPWm9ZH1g/V99X31fPVz9V31PPUZ9P307PTj9Nj0yPS29K70uPTS9Of03/Ss9FPz7/Oi84DzivOs88zz1fPB85PzV/MV8tfyn/Jx8kvyLPIP8fbx4/HW8dLxz/HJ8bvxpfGO8XvxcfFt8WzxbfFx8XnxhfGQ8ZfxlvGQ8YrxifGP8Z7xrvG48bfxqPGP8XbxZvFl8XPxivGk8b7x1/Hv8gfyHvIy8kbyWvJw8oXymPKq8rzy0vLu8w/zMvNU83bzmPO789/0AvQm9Ez0c/Sa9Lz01/Tu9QX1IfVF9XH1ofXS9gL2LvZU9nX2k/a39uP3FvdI92/3ivec9673xPfb9/H4A/gX+DH4VPh7+J/4vPjV+O/5Cvkk+Tv5Vfl9+b36Efpo+q361vrm+vH7B/sv+2H7lvvL/AX8Tfyn/Q/9e/3j/kX+o/8A/1//vwAfAHsA0gEjAXIBwAINAlYClgLIAu0DEAM9A38D2QREBLEFEwVjBaQF4gYnBngGzgcdB1sHige8CAYIcQj2CXkJ5AovCmsKsQsSC4oMAwxqDLcM8w0rDWINjg2gDZMNcw1XDVMNag2SDboN2g3yDgwOMg5oDqgO7g82D30PxBAJEEkQgxC7EPERJxFcEYwRtxHhEg4SRRKFEscTBxNBE3cTrhPpFCQUWhSHFK0U0xT9FS0VXhWNFbYV3RYHFjkWcRauFukXIhdXF4sXvRfrGBIYNRhUGHQYmhjGGPoZMBlkGY8ZrxnEGc4Z0BnOGcgZwBm6GbYZtBmvGaMZkhl8GWcZUxlBGSkZCBjdGKwYfBhVGDkYKRgjGCUYKRgpGCMYFRgDF/QX7BfqF+oX4hfOF6wXgRdUFy0XDhb2FuIWzxa7FqYWkRZ7FmAWPhYZFfYV3RXRFc0VxhWwFYMVQBTsFI8UMxPeE5kTaBNME0ETPxNCE0oTWBNpE3YTcxNaEzATARLbEsMSshKfEoISYBJJEkwScBKtEvUTMxNdE28TbhNjE1YTSxNDEzwTMxMmExUTARLtEtsSzxLIEsQSvxK3EsISvBK5Er0SyBLWEuIS7RL5EwcTExMYExUTDxMOExcTJBMsEygTHRMaEysTUhN/E5wTnROGE2kTXhNuE5ETtxPME8YTpRN1E0gTLxM2E1sTixOuE68TkxNuE1sTZxOEE5UTfxNDEvUSthKXEpUSnxKkEp8SlxKREosSfhJkEj0SEhHsEdARvBGsEZ8RlhGREYwRhBF3EWYRVBFBESoRDxDvEM8QtRCiEJQQiRCCEIMQjxCkELkQwhCwEHwQKg/HD2oPKQ8ODxIPIw8nDwwOzw52Dg8Now0+DOcMpwyCDHUMcgxtDFsMOwwTC+ULtQuCC08LHwr1Cs4KowpxCjYJ+QnDCZMJaAk7CQoI2AioCHwIUwguCA4H9AffB8UHnwdqBysG7AaxBn0GSgYXBeUFuAWRBWoFPgUMBNoEsQSUBH4EYwQ6BAIDwgOCA0UDDgLbAq8ChgJhAjgCDAHaAagBdgFCAQcAvQBoAA7/uv90/z3/Dv7k/rn+jP5e/iz98/2y/Wr9HfzR/In8RfwG+8n7jftS+xr65/q3+on6XPou+gL53fm/+af5kfl1+VD5Ivjx+MP4nPh++GP4SPgl9/v3yveX92j3Pvca9vr23Pa89pj2bPY69gT10vWn9YX1ZfVB9Rf06PS69JL0cvRW9Dj0FfPv88jzoPN280jzFPLg8q7yhfJj8kjyLfIS8ffx3vHJ8bjxqPGT8XnxW/E/8SvxG/EH8ObwtPB78EzwN/A+8FPwYPBV8DDv/+/R77HvnO+J73LvWe9C7zXvLO8j7xDu8+7Q7rDule5/7mbuRu4a7eLtoe1c7Rzs6OzG7LTsqeyd7Inscuxc7E/sS+xL7EnsRew97DPsJewO6+zrxeuf64Prdutz63nrhOuX67Drzuvp6/rr/Ovw69nruuuT62LrKurs6qzqbOor6evptOmT6ZbpwuoN6mTqs+rw6yDrVuue6/3sZuzK7RztWu2O7b7t7e4Q7h7uFO327c/tpO1y7TDs1+xz7Bjr4evd7AfsTeyX7NTtAO0d7TLtQu1T7Wjthe2p7crt4u3q7eft5O3r7gLuKe5b7pPuzO8B7yrvP+867yPvBO7s7uHu5O7u7vzvD+8l7z/vW+9575nvvO/k8A/wOvBn8Jjw0vES8VPxkPHH8f3yOvJ/8sfzCPM782XzjfO98/r0QPSL9Nn1KPV49cX2C/ZO9pP23/cy94f31vge+Gb4svkE+VT5mfnS+gj6RPqK+tL7Dvs5+137jPvW/ED8v/1D/cD+NP6g/wf/ZP+z//IAJQBTAIIAtADqAR8BUwGDAa0BzgHqAgQCIgJIAnkCtAL1AzoDgAPCA/8ENQRmBJcEyQT8BS0FXAWNBcUGCAZVBqEG4QcOBycHNQdCB1YHcQeRB7IH0AfrCAIIEQgYCBwIIwg1CFQIfAimCMoI6gkKCTMJaQmpCewKKwpiCo8KsgrOCuQK+QsMCxgLEgrvCq4KWQoFCcMJnAmLCYQJggmFCZIJrAnRCfYKEgoiCiUKGgoECeMJugmNCV8JMAj+CM0IoQiCCHcIewiGCI4IkQiTCJoIqAi3CL0ItwinCJgIjwiKCIAIcAheCFsIdgixCQAJSAlzCXsJaQlPCTsJLQkYCOkIjwgABzoGPwUcA+8C4gInAeICGQKrA10D+QRdBI0EogS2BNAE6QTvBNoEsAR8BEsEHwP1A8oDogN8A1gDLgL5ArwCfgJKAiIB/QHPAZMBUgEVAOQAvQCZAHEASwApAAz/7v/J/6L/hv98/37/dP9L/wb+vP6E/lv+Iv2+/Tn80fzS/WD+R/8Q/0j+y/3b/PX8hPyf/Q79e/2x/bT9qf2x/c796/32/fH96v3s/fT99v3t/d/92/3o/f3+DP4M/gP9/v4H/hz+Mf49/kH+Qv5F/kv+T/5S/lb+YP5y/oX+kf6W/pn+oP6v/sP+1P7h/uz++f8K/xz/LP83/0D/Sv9U/1z/YP9g/2L/av93/4f/lf+i/6//u//F/8j/xv/D/8b/0//m//gAAwAJAA4AFgAfACUAJgAkACUALQA7AEgATQBLAEYARABGAEsATQBKAEMAPgA7ADsAPAA9AD8ARABMAFIAVgBVAFIATgBJAEIANwAmABD/+//n/9X/xf+0/6D/i/92/2T/U/9F/zf/Kf8Y/wj++P7o/tf+w/6r/o/+dP5c/kX+MP4Z/gD95v3M/bX9n/2I/XL9Wv1C/Sn9D/zz/Nf8vfym/I/8ePxe/EH8JfwK+/H72fvA+6b7jPt0+1/7Sfsy+xn6//rk+sj6q/qN+m76UPo1+hr5/fnd+bz5m/l9+WL5Rvko+Qb45PjD+KT4hvhl+EP4IvgF9+732/fG9673k/d49173R/cv9xf2/vbo9tT2wvaw9p32i/Z89nL2avZi9lv2U/ZM9kX2P/Y69jf2OPY+9kX2SvZO9lT2YfZ19ov2nPak9qX2pPak9qT2n/aS9oP2ePZ29nv2f/Z+9nX2ZvZV9kD2KvYX9g72EfYb9iD2HfYb9jT2e/bx93n36vgm+DH4Kvg0+GH4o/jc+PH43fiu+Hz4Vvg/+DP4Kfge+Bb4FPgd+Df4YPiV+M75Avkq+Uf5XPlv+YT5m/mz+cz55/oG+ij6Tfpy+pX6s/rM+uH68vsD+xT7Jfs5+1P7dfug+8v76vv0++b7xvuj+4X7bPtO+yP67fq4+pD6evps+lv6PPoX+ff55fnf+dv50Pm/+bP5ufnP+ev5+/ny+dL5pPlz+Ub5F/jj+Kf4afgv+AD32ve595j3dvdS9zD3Dfbp9sH2lfZp9kD2HfX99d71vPWZ9X71b/Vw9Xn1fvV49WP1SPUx9Sb1I/Uf9RP0//Tt9Ov1APUh9Tn1LvT19Jf0MPPf87jzvPPW8+3z7fPT86XzcvND8xry8vLJ8prya/JA8iDyDfII8gnyCfIC8e/x1PG28Zrxg/Fv8WDxVfFS8VfxZPFy8XvxffF58XXxdvF+8Y7xnvGn8aTxk/F78WTxWPFd8W7xhvGg8bnx0/Hx8hLyMvJO8mbyevKO8qHysPK88sfy1vLu8wzzLPNI817zcvOI86fz0PQB9Db0avSZ9MH04vUB9SX1TvV79ab1zvXy9hb2OfZb9nf2kPar9sv28/cc9z73V/ds94T3o/fH9+j4A/gc+Dj4Wvh++J/4ufjO+OX4//ka+Tj5XPmR+dz6N/qQ+tL69fsA+wT7E/sx+1f7ffuk+9H8D/xi/Mj9N/2p/hf+gf7l/0T/nf/zAEkAngD0AUcBlAHaAhgCTgKAArIC6QMqA3cD0QQ0BJcE9QVIBZMF2wYpBoAG2AckB1kHfgemB+oIVQjbCV4JxAoLCkYKkAr3C28L3QwuDF4MfwyhDMoM7Qz8DPQM5AzhDPsNLQ1nDZcNug3WDfgOJw5jDqYO6Q8sD3APtQ/4EDUQbBCeENERCBFAEXYRphHSEf8SMxJvErAS7xMqE2MTnhPbFBcUSxR1FJkUvxTtFSEVVhWEFasV0BX8FjEWbRarFuUXHBdRF4UXuRfoGBAYMxhVGHkYoxjSGQQZNhllGY4ZrRnCGcsZzBnIGcIZvhm8Gb4ZwBm9GbMZnhmCGWQZSRkzGR0ZAxjhGLkYjxhlGEEYJRgSGAgYBRgFGAEX9xfsF+UX5xf0GAMYBxf3F88XlxdbFyoXCRb4Fu8W5xbZFsYWrxaTFnEWRxYVFeQVwBWvFbEVuRW2FZgVWxUAFJYUKhPKE4ATUBM0EyQTGBMNEwcTCBMSExwTHhMREvgS3RLIErsSsBKcEnkSTBIiEgsSEhI0EmwSrBLoExgTOxNPE1UTUBNEEzQTJBMYEw4TAxL1EuMS0xLJEsYSxhLGEtESzRLMEtYS6RMCExkTLBM8E0oTUxNVE1ATSRNIE1ATXBNhE1cTQxMzEzQTSRNkE3cTeRN1E34TnxPXFBEUMhQpE/YTqRNaEyMTEhMoE1cTiROlE6IThRNjE1ATTxNQEzoS/hKmElASGxIUEjASVxJ0EoESgRJ8EnISXxJEEiQSBhHuEdsRxxGwEZkRihGEEYYRhxGDEXoRbBFaEUIRJBECEOMQyhC3EKkQnBCQEIkQjBCWEKIQpxCcEHwQRxADD7wPfw9VDz8PNQ8pDw4O3A6RDi8Nuw1ADM4MdwxHDDwMRAxNDEYMMAwQC+oLvwuNC1QLGgrmCrkKjwpgCigJ6wmxCYAJVQkuCQUI2wiuCH8ITggfB/YH2AfBB6gHgAdEBvsGrwZsBjEF/QXNBaIFgAVlBUoFJQT0BL8EkgRyBFwERQQjA/QDvQOFA00DFwLlArYCjQJpAkQCGgHpAbQBgQFOARkA3ACWAEn///+8/4H/S/8X/uL+r/59/k3+G/3k/ab9Yv0d/Nn8mvxd/CD74/um+237OfsK+tn6pfpu+jn6DPnq+dL5vPmh+X35U/kk+Pb4yfif+Hf4T/gk9/P3u/eA90X3D/bh9rj2kvZu9kn2JPX+9db1rPWC9Vr1M/UN9Ob0vfSV9HD0UfQ49CD0BvPm87/zkvNi8zDy/fLL8pryb/JJ8ijyDPHv8dLxtfGb8YXxcvFd8UXxK/EU8Qbw/vDw8NHwmfBR8BDv6+/s8AbwIfAo8BPv6+/C76Tvku+D72/vU+837yLvFe8L7v3u5e7F7qHufu5b7jjuEe3j7a7tcu0w7O/stuyL7G/sXuxT7EnsQOw87DzsPuw77C/sHOwJ6/3r+Ovy6+DrvuuS62vrV+tc63Trk+ut67/ryOvK68Trret96zHq0upv6hjp1Oml6YHpYek96Rfo9ujj6OnpDelN6Z3p8eo96oDqwesJ61jrpuvl7A7sJ+xE7HTsu+0G7T/tVe1O7T3tMe0r7Rjs5OyL7CDryeul677sBexa7Kbs2ez07P7tAOz/7QPtEO0m7T7tUu1e7WPtbO2B7aPtz+4B7jbube6l7tfu+O8B7vLu2O7A7rTutu7B7tHu4+757xXvN+9d74bvse/e8AvwN/Bj8JPwyvEF8UHxefGv8ejyKPJu8rXy8/Ml80/zfPO08/j0Q/SR9N71KvV29cD2CPZQ9pz27vdG95337vg6+IX40vkf+Wf5pvne+hj6Xfqr+vb7NPtj+437xPwS/Hf86f1f/dL+Rf62/yD/e//E//0ALQBeAJIAyAD6ASkBVgGCAa0B1AH0AhECLwJUAoUCwQMFA00DkwPUBA4EQwR3BKoE3wUSBUQFdAWoBeQGKAZwBrQG6wcVBzQHUQdvB48HrwfMB+QH+wgRCCcIOghICFEIXAhtCIcIqAjICOUJAQkkCVQJkgnZCiEKYwqhCtoLDAsvCz4LOQsmCwsK6Qq8Cn8KNgntCbQJlwmSCZsJqAm3CcwJ6QoOCjMKTApVCkwKNwobCfwJ3Qm/CaAJeglMCRgI5gjCCLIItAi+CMcIygjMCNII2wjgCNwIzwjACLsIwQjMCM0IwAitCKoIygkQCWkJtgnZCcsJlAlKCPgInwgzB6cG9AYbBSYEIQMjAk0BxQGpAf8CpwNqBBAEeASjBK0EtATGBNsE5ATTBKsEegRLBCID+QPKA5gDaANAAx0C9gLEAokCTgIdAfYB0QGiAWYBJQDrAL0AlwBxAEYAG//5/+D/yf+q/4P/X/9K/0P/Ov8e/uv+rf50/kH9/v2b/SX80/zp/YD+af8y/23+8/3+/Qf8ePx0/M39Nf1x/X/9ff2I/aT9v/3G/bz9sf2y/cD9y/3I/br9rv2w/b/9zv3U/dL90f3a/fD+B/4Y/h7+HP4b/hv+G/4c/h/+Jv40/kX+U/5d/mX+cP6A/pT+pv62/sP+0P7e/uz+9/8A/wj/E/8f/yn/K/8p/yf/Kv82/0f/Wv9s/3z/iv+S/5X/kf+N/47/mP+p/7v/x//O/9P/2v/k/+3/8P/w//D/9gACAA8AFwAXABEACwAIAAkACwALAAkABQADAAIAAgAEAAcADAASABcAGwAcABsAGAATAAv////u/9n/w/+u/5v/if94/2X/Uf87/yb/E/8C/vT+5v7X/sj+uP6o/pf+gv5q/lH+OP4g/gv99f3e/cb9r/2X/YD9Zv1M/TH9F/0A/Or81Py7/KD8hfxr/FH8NvwZ+/z73/vG+677l/t/+2b7Tvs3+yP7D/r6+uL6yfqv+pP6dvpX+jj6Gvn++eT5yPmq+Yn5aPlJ+Sv5Dvjw+ND4sPiS+HT4VPgy+A737PfP97j3pPeO93X3Wfc99yT3Dfb19t32xfav9p32i/Z49mT2UfZD9jz2OPY09i/2KPYi9hz2GPYT9hD2D/YS9hn2H/Yl9iv2NfZF9lj2a/Z59oL2iPaK9oj2fvZv9l/2VvZV9lj2WvZY9lL2SvY+9ir2EPX39er17/X89gT2AvYE9iX2e/cA95D3/Pgr+Cb4Ffgb+Eb4g/iz+L/4q/iG+GP4Sfg2+CP4D/f+9/P39vgK+DL4bfi2+P75N/la+Wr5cvl++ZL5q/nE+dv58foO+jP6XvqL+rX62Pr1+wz7H/sv+zz7R/tS+137cPuM+7D70fvg+9b7tPuI+1/7Qvss+xL67Pq/+pT6dvpj+lD6NfoR+e351PnM+c75z/nL+cP5wfnM+eH59fn6+eb5vPmE+Uf5C/jR+Jn4ZPgy+Aj34/fB9573ePdR9y33C/bq9sX2m/Zv9kf2JfYI9ev1yPWi9YH1b/Vw9Xv1g/V/9XH1YfVZ9Vr1WvVQ9Tf1G/UL9RT1NPVb9XD1YfUp9NP0dfQn8/jz6fPr8+/z5vPN86jzgfNd8z3zG/Ly8sDyjPJd8j3yLPIo8iryK/Im8hnyA/Hm8cTxn/F58VfxP/E08TXxQPFN8VXxV/FW8VbxW/Fm8XXxhPGO8Y/xiPF78W/xbPF18YbxmfGq8bjxyvHm8gzyNvJe8oDymvKw8sTy0/Ld8uby8fME8xzzM/NF81DzW/Nx85rz1fQe9Gj0qPTY9Pj1D/Un9Ur1ePWs9dv2AfYc9jP2R/Zc9m72fvaQ9qj2yvbv9xP3MfdO92/3mPfF9+/4D/go+D/4Wfh2+JT4rfjF+N74+fkX+Tf5XvmV+d36MfqB+rv62/rp+vP7B/sn+037cvuW+8D7+fxD/J/9Bv11/en+W/7I/yr/gf/QAB4AbgC/ARABWgGeAdoCFQJUApkC5QM1A4UD0wQiBHQEygUjBXwF1QYvBokG4AcqB2EHige4CAAIaQjjCVYJrQnpCiIKbwrWC0QLnQvOC94L5Av1DBQMNgxNDFgMYwyADLYM+g08DW8NlA22DeAOFw5YDpsO3A8cD14PoQ/iEBsQTBB6EKwQ5BEiEV8RlhHFEfMSJRJfEp0S2xMWE1ATjRPNFAsUQRRtFJEUuBTnFR0VUxWBFacVyxX2FiwWaRamFt8XExdFF3oXrhfeGAgYLhhSGHkYphjWGQgZOBllGYsZpxm4Gb8ZwBm9GbsZuhm8Gb8ZxBnGGcAZsBmWGXcZVxk5GR0ZAhjlGMYYpBh/GFcYMBgOF/cX6hfmF+IX2hfQF8wX0xfnF/4YCRf6F84XjxdQFyEXChcGFwkXAxbvFs4WqBaBFloWLhX6FcUVmBV9FXkVgRWFFXMVQRTuFIgUHhPDE4ETVxM/EywTFxL+EucS2BLTEtISzxLDErISohKaEpoSnBKWEoISYBI4EhMR/BH7EhISPRJ2ErUS8hMkE0YTUhNLEzYTHRMJEvwS9RLrEtwSzRLEEsQSyxLREtES1hLfEvETDxMxE1MTcBOLE6ETrhOvE6UTmBOSE5cToROgE4wTaBNDEywTKRM0E0UTWxN/E7kUCBRYFIsUhhRBE80TShLaEpUShxKmEuETHxNME10TVRNAEycTChLfEpsSQBHgEZcRfBGTEcoSCRI7ElkSZhJlEloSRBIpEhAR/RHxEeYR1hG/EagRlxGOEYsRiBGCEXoRcRFkEVARMhEPEO0Q0xDBELIQoxCUEIgQgxCEEIcQiBCDEHkQZxBLECUP9w/GD5gPbQ9EDxgO4A6WDjQNuQ0wDK8MTQwdDBoMLwxBDEEMLQwQC+8LygucC2ELIQrlCrIKhApSChgJ2QmfCXAJTgkzCRoI/QjZCK0Idgg7CAMH1QeyB5EHYgcgBs4GeQYrBegFrQV6BVIFOAUqBSAFDQTsBMAElQRyBFUEOQQVA+sDvQOPA2QDNwMJAtwCswKNAmYCOQIDAcgBjgFXASMA6wCtAGoAJv/l/6f/bP8x/vb+vP6G/lT+Jv35/cr9lv1c/R/84Pyi/GT8J/vt+7j7h/tX+yT66/qu+nH6PPoT+fP51Pm0+Y/5Z/k8+Q342fii+Gz4OfgJ99n3ovdl9yb26faz9oP2VvYt9gf15vXI9ar1iPVi9Tj1DvTo9MP0oPR99F30QvQt9Br0BPPk87jzg/NM8xjy6fK+8pPyafJA8hrx+fHa8brxmvF98WPxTvE48SDxBfDv8OHw3PDV8Lzwh/A77+3vte+j77Lvzu/f79rvw++m74/vgO9y713vQO8h7wfu+O7y7u/u5O7M7qbudu4/7gft0+2j7XTtRO0O7NTsm+xp7EXsLuwl7CTsKeww7DXsMewk7A/r/Ov57AvsLuxP7FjsPOwD68Prneui69DsEOxF7FzsUuwv6/nrsOtL6srqNuml6S3o2eik6IHoaOhS6EXoQehI6Fjoc+ie6N3pL+mJ6eLqNeqD6s7rEOs/61PrU+tS62jrnevl7CnsVexr7H/soezP7PLs6eys7Ezr8uvE69DsCuxT7JLsuOzH7MbsvOyx7Krsqeyw7LzsxezJ7M3s2uz17R/tUO2C7bLt5e4b7lLufe6U7pbujO6B7oDuiO6U7qLuse7G7uTvC+8572nvmu/K7/vwKvBa8IrwvfDw8STxWPGP8cnyCvJN8o3yxvL58yzzZ/Ou8//0UvSi9O71NvV+9cf2EPZc9qz3AfdZ97D4BPhU+KT48/k8+Xr5rvnf+hr6Zfq8+xP7Xvud+9j8G/xq/MX9JP2G/e3+W/7M/zj/kv/WAAwAPABuAKMA1QECASkBTwF4AaQBzwH2AhkCOwJjApUC0gMXA2EDqAPoBCEEVgSLBMAE9gUpBVoFjQXFBgYGSgaMBscG+gcpB1gHiAe4B+AH/ggSCCEIMAhCCFcIawh5CIMIiQiRCJ4IsQjJCOYJDQlACYMJzwobCmIKogrhCyALWQt/C4MLYQslCt8KnwpnCjEJ/AnLCakJngmqCcQJ4An7ChMKLApFCloKZQpmCl4KUQpDCjMKIQoMCfAJzQmgCWwJPAkXCQYJBAkICQoJBQj9CPkI+Qj5CPMI6gjmCPIJDQkvCUcJSwlCCT8JVgmICcQJ7AnnCawJRwjHCDMHhga2BcAEsQOiAq4B7gFxAUEBZwHdAo8DVAQABHQEqgS5BLwExQTSBNQEwASXBGYEOgQYA/gD0QOeA2YDMgMHAuACtwKDAkoCFAHpAcUBnwFvATUA+ADDAJgAcwBJABj/6P/C/6v/nP+I/2j/Qv8j/xD/A/7x/s/+nv5m/in93/2A/R383/z3/Xn+Qf73/z/+7/4q/Uv8r/x//Kb87P0j/T39Tf1m/Yb9n/2h/Y/9e/13/Yb9mv2j/Zv9jP2D/Yb9j/2X/Zv9nv2q/cD92/3w/fv9+/32/fH97f3q/ez98/4A/hH+Iv4v/jr+Rf5U/mT+dP6D/pD+nv6s/rj+wv7J/tH+2/7m/u/+8v7w/u7+8f78/w7/Iv80/0P/Tv9V/1n/V/9V/1X/Xf9s/33/jf+X/57/pP+q/6//s/+1/7j/wP/M/9n/4v/j/97/1f/N/8n/yv/M/83/zP/L/8r/yv/L/83/0f/W/9v/3//h/9//2//U/8v/v/+w/57/iv91/2H/Tv88/yr/Fv8A/ur+1f7B/q/+n/6Q/oH+c/5k/lP+P/4q/hP9/P3n/dH9u/2k/Y39eP1j/Uv9MP0S/PT82PzB/Kz8lvx+/GT8Sfwt/BH79PvV+7f7nPuE+2/7WvtC+yj7D/r4+uT60fq++qr6k/p7+mD6RPol+gX55vnJ+a75k/l2+Vj5OPkY+Pj42fi5+Jn4evhb+D/4IfgC9+L3wvel94z3dPdb9z/3I/cH9u721va+9qb2kPZ89mz2XPZK9jX2IPYP9gb2AfX+9fr19fXx9e/17fXr9ef15vXo9e/1+PYA9gj2EfYd9i32PvZO9lr2YvZl9mD2V/ZL9kH2PPY79jj2MfYp9iX2JvYm9hv2AvXl9dL10fXe9en17PX49if2jvcg97D4Dfgh+AL33vfd+AX4P/hp+HP4ZfhQ+ED4M/gi+Ar37/fd99z37vgT+En4kvjk+TL5a/mH+Y75j/mZ+bH50Pns+gP6F/ov+k/6dfqe+sb67vsT+zT7Tvth+2z7cftx+3D7dPuC+5z7uvvO+8n7qPt0+0H7HvsM+v/65vq/+pH6avpT+kj6Pvoo+gf55fnO+cf5yvnP+c/5yvnJ+c/53fnp+eT5xvmP+Ur5A/jD+I34YPg1+Av34/e995n3d/dW9zX3E/bv9sb2mfZs9kT2J/YS9fz13/W79Zv1h/WE9Yz1k/WS9Yr1gvV/9X71c/VX9TL1FPUO9SP1R/Vi9WD1PPT99LP0b/Q49BPz/PPv8+Pz0fO085DzaPNA8xny8fLF8pfyafJD8inyG/IY8hzyIvIn8ijyIfIM8erxvPGJ8VrxOfEp8SjxL/E28TfxNPEx8TLxOfFF8VTxZfF28Yfxk/Gb8aDxpvGx8b3xyPHM8czx0fHj8gXyMfJg8onyq/LH8uDy9fMF8xLzH/Mu8z/zTfNV81zza/ON88j0F/Rt9Lz0+PUd9TD1OvVJ9Wf1lvXN9gL2K/ZD9lD2WPZe9mT2afZy9oP2n/bF9u73F/dB9273n/fT9//4IPg1+Eb4WPhv+Ir4pvjE+OP5BPkl+Ub5afmV+c36DvpN+n/6ovq7+tT69Pse+0v7ePul+9X8DfxM/Jb86v1J/bT+Jv6V/vz/WP+q//gARQCTAOABKgFyAbgB/gJIApcC6gM7A4QDxQQCBEYEmAT4BV8FxgYpBocG3QcqB2sHogfdCCgIhgjrCUMJhQm3CfAKQAqjCwMLRAtcC1kLVAtiC4ULsAvVC/QMGAxLDI4M1Q0VDUYNbw2ZDcwOBw5FDoIOvg77DzsPfg+9D/YQJxBWEIkQwxEEEUYRgRG2EecSGhJTEpASzRMHE0ATfBO8E/0UNxRnFI4UtRTjFRkVUBWBFaoV0BX6Fi4WahalFtwXDhc/F3AXoxfUF/8YJxhOGHcYpRjWGQkZOhlmGYkZnxmpGasZqRmoGakZrRmxGbYZvBnBGcEZuhmoGY0ZbRlKGScZBxjrGNMYvBihGH4YVBgoGAMX6hfcF9EXxRe4F68XshfBF9QX3BfLF6AXZxczFxMXCxcRFxQXBhbiFq4WeRZMFicWBRXdFa0VfBVUFTwVMhUrFRkU8RSyFGQUFBPRE6MTiBN3E2UTTBMqEwgS7BLZEswSvhKtEpoSiRJ+EnsSfBJ+EnsScBJaEjsSGxIDEf0SDRIzEmkSqRLqEyMTShNXE0sTLxMPEvUS4hLSEsIStBKtErASvBLJErkSzBLjEwETJhNNE3UTnhPIE+8UChQRFAcT9hPtE+4T8BPkE8ETixNTEyoTGhMhEz4TcBO6FBcUdRS1FLgUbxPjEzUSixIGEbgRoRG5Ee4SMhJ1EqoSzBLVEsMSlBJMEfERkxFFERwRHxFJEYkRyxICEioSQhJLEkYSNRIcEgUR9RHtEecR3hHSEcQRuBGtEaARkBGAEXURcRFtEWARRBEcEPMQ0hC8EK0QoRCZEJUQlxCdEKAQnRCUEIoQfhBvEFYQLw/9D8IPhA9EDwQOwA5xDg4NlA0MDI0MMwwNDBYMNQxMDEsMNQwXC/sL4Au7C4YLRgsFCssKlApbCh0J3QmoCYEJaAlWCUQJLAkOCOUIsAhvCCoH6geyB3wHOwbpBosGLQXZBZMFWAUlBP4E6ATiBOUE5QTZBMMEqQSPBHUEVwQxBAYD2wO0A5IDcQNMAyQC+gLOApwCYgIhAd0BmwFdASIA5gCmAGQAIP/f/6H/Zf8r/vP+u/6F/lP+Jv39/db9q/14/Tz8/Py7/H78R/wV++f7uvuL+1b7G/rb+pz6ZPoz+gf53Pmx+YX5Wfkr+Pn4v/iA+ET4D/fh97b3hPdM9w720vaa9mj2OPYJ9d71uPWa9X/1YvVA9Rr08/TO9K30j/Rx9FX0PPQp9Bbz//Pc86vzcfM28wHy1fKw8ozyZvI88hPx7PHJ8ajxifFu8VfxQ/Es8Q/w7fDO8LrwtPCy8KTwe/A27+TvnO9w72bvc++G75HvkO+G73vvcO9i70zvL+8O7vPu4+7h7uXu5O7S7qrub+4p7ePtpu107UrtIez07MLsjexc7DPsGOwL7AzsF+wk7C/sM+w17DvsUOx87L7tB+0+7UntHuzF7GHsGuwM7DnshOzG7N7swux77BfrnesK6mDpquj/6HfoGufe57Pnkud853vnkOex59Pn8ugX6FLoqOkQ6Xjp0+og6mfqrero6wzrE+sI6wDrEOs562zrnOvG6/TsMOx07KjstOyO7EjsBevk6+/sGexM7HXsjuyc7KPsp+yo7Kjsqeyq7Kjsn+yP7H/seuyI7Kjs0Oz57SLtTu2A7bft6O4L7h3uJe4t7jzuT+5j7nTuhe6d7sDu7e8g71Pvg++y7+LwEvBD8HHwnvDK8PnxLvFo8afx6PIm8l/yk/LI8wTzTfOh8/v0U/Sm9PT1PvWH9dH2HfZr9rv3D/dl97r4EPhn+L75Evla+ZL5vPnl+hv6ZvrD+yX7gfvT/B78aPy1/QX9WP2v/hD+fP7t/1f/rv/wACMAUAB9AKwA2AEAASQBSQFxAZwByQH0Ah0CSAJ2AqwC6wMxA3sDwgQBBDkEbAShBNcFDQVABXMFqgXoBiwGbwatBuQHGQdUB5YH1wgNCDIIRQhPCFgIZQh0CIQIkQiaCJ4IoAihCKYIswjLCPAJJAlnCbUKCApZCqIK5QsmC2ULmAuvC5oLWQr9Cp0KTQoTCeoJygmzCaoJtAnQCfcKHwpCCl8Kcwp+CoAKegpzCnAKcgp1CnEKYwpNCjEKEQnuCccJngl7CWIJVQlNCUUJOAkpCR4JGQkaCR0JIwkwCUwJdwmnCdEJ5wnsCegJ5gnlCdkJrQlRCMUIFQdQBnkFigR7A1MCMAE6AJkAYQCPAQ0BwAKIA0gD5wRUBI8EpwSyBL4EygTLBLUEiQRUBCYEBgPtA84DowNsAzQDAwLZAq4CfQJFAgwB2gGzAZEBawE+AQkA1AClAH0AVgAo//P/vv+R/3T/Y/9T/z3/IP8D/uz+3f7O/rX+jf5W/hX9yv14/Sf86/zi/R/9mf4j/oD+g/4l/ZD9Avyq/JX8sPzc/QX9Kf1N/W79gv2A/Wf9Sf06/UP9W/1z/Xv9dP1o/WD9Yf1m/Wv9cf1+/ZP9r/3I/df92v3T/cn9wP27/bz9xf3U/eb9+P4G/hD+Gv4l/jL+QP5O/lv+af53/oT+jv6V/pv+ov6q/rL+t/65/rv+wP7L/tv+6/74/wL/Cv8R/xf/HP8f/yL/KP8z/0P/VP9i/2v/b/9w/3H/c/94/37/h/+R/5z/pP+o/6f/ov+b/5b/lP+V/5f/mP+X/5X/k/+S/5P/lf+Z/53/oP+h/5//mf+P/4T/d/9p/1v/S/86/yj/Fv8D/vD+3P7H/rH+m/6G/nH+Xf5L/jv+K/4c/gv9+P3k/dD9vf2p/ZX9f/1o/VL9Pf0p/RL8+Pzb/L38ovyJ/HL8Wfw//CP8CPvs+9D7svuT+3b7XftH+zT7H/sG+uz60vq7+qf6l/qG+nP6XvpG+iv6D/nx+dP5tvma+YD5ZflK+Sv5C/jq+Mn4qfiI+Gf4R/gn+Ar38PfW97v3nveC92X3Sfct9w/28vbX9r32pPaM9nT2XfZL9j32L/Yg9gv19vXj9db1zvXI9cL1vPW59bn1u/W79bn1t/W49b71yPXS9dz15/X09gT2FvYl9jD2NvY29jL2KvYi9h/2IPYg9hn2CvX79fb1/fYH9gX18PXQ9bf1sfW89cj10/Xs9i72qPdE99H4G/gU99v3p/ei9834CPgw+Dj4Lvgk+CP4JPga+AT37/fq9/z4IfhR+Ir4zvkb+WX5nfm5+b75vfnF+dr59/oU+iv6QfpY+nP6kPqu+s/69Psc+0P7Yvt3+4b7kfuZ+5/7pPus+7372Pvx+/b73Pum+2f7NPsX+wj69vrR+p36afpG+jr6Pfo++jH6FPn0+d/52vng+eX54fnW+cv5yfnO+c35uvmL+Uf4/Pi5+IT4Wfgx+AX31/eu9433c/db9z/3HPbx9sH2j/Zi9j/2J/YX9gf18fXT9bb1ovWc9aD1pPWj9Z31lvWN9X71YvU59RH0+/UC9R31NfUy9Qn0x/SB9Ev0LPQc9BD0APPr88/zrfOF81XzIvLu8rzyjPJf8jXyEfH28eXx3vHg8erx+/IQ8iLyKPId8f3xzvGY8WfxRfE18TPxNvE28TDxJfEe8R3xJPEx8UHxVvFw8ZDxsfHM8d/x6/H08fzyAfH/8fjx9PH88hXyOvJk8oryrPLK8ufzBPMf8zbzS/Nd82zzdPN484DzmfPM9Bb0bPS99Pz1J/VB9VL1YPV09ZH1ufXo9hb2OvZQ9lr2XfZe9l72X/Zi9mv2gPai9s/3APc092r3n/fS9/v4Gfgu+D74UPho+IT4pPjI+O75F/k9+V35evmY+bv55PoR+j36ZPqK+rP64fsT+0n7f/u1++v8IPxV/I38zf0d/X395/5W/sD/I/9//9QAJABxAL8BEAFkAbgCBgJPApUC2wMhA2QDoQPeBCQEegThBVAFvAYfBnoG0AciB24HtAf5CEEIjwjbCRoJSgl2Ca4J/ApYCqsK3grvCu0K8gsMCzoLbwugC80L/gw3DHcMtQzsDRwNTA2ADbkN9A4rDl8Okw7LDwgPSQ+KD8cQARA4EG8QqRDpESsRaxGmEdsSEBJIEoMSwRL8EzUTbhOqE+YUIBRRFHwUphTVFQwVRxV+Fa0V2BYEFjcWcBaqFuEXExdDF3IXohfQF/sYIxhLGHYYpBjWGQoZPBloGYYZlRmXGZEZjBmLGZEZmRmhGagZrhmzGbUZsBmkGY4ZchlQGSsZCBjsGNgYzBi+GKcYhBhXGCkYBRfpF9QXwBesF5wXlheaF6AXnReJF2UXPBcaFwoXChcPFwkW7xbCFooWVRYsFg4V8xXTFaoVehVNFSYVBxTtFNAUqxR+FEwUHhP9E+sT5hPjE9cTuxOQE18TMBMLEvAS3BLKErgSpBKOEngSZhJdEl4SYxJkElsSRxIxEiISHxIqEkQSbRKmEukTJxNSE1wTSBMiEvoS1xK8EqQSkhKIEokSlRKnEpMSsxLYEwETKhNRE3kTqBPfFBYUQRRWFFcUUBRMFEwURRQoE/ITrhNwE0oTQRNUE4ETxhQdFHcUtRS1FGYTyxMFEjsRkREYEM8QrRCnELsQ6BErEXwRyhICEhQR+xG/EXMRLhEDEPsREhE/EXMRpRHREfYSFBIoEjASKhIbEgkR+hHxEesR5xHlEeIR3hHTEb8RpBGLEXwRehF6EXERVxEsEP0Q1BC4EKgQoxCnELUQyRDaEN8Q0xC3EJEQaBA+EBQP5g+zD3wPQA7/DrkObw4eDcENUwzdDHIMKwwWDC0MUwxrDGcMTAwsDBMMAAvmC7wLhAtECwYKyQqLCk0KFAnoCcwJtwmiCYgJaglLCSoI/gjECHwILQfcB4kHLQbFBlkF9QWlBWkFOwUSBO0E0gTFBMIEwwTBBLsEsgSrBKEEkARyBEwEIwP9A90DwQOkA4IDWQMmAuYCmwJLAfwBsAFpASIA2QCRAEkABf/F/4b/S/8T/uD+sf6D/lT+J/38/dH9o/1r/Sr85fyi/Gn8OfwQ++n7wPuS+1/7Jvrq+rD6efpF+hL53vmp+XT5QfkN+NX4mPha+CD37/fG9573cPc79wL2y/aa9mv2PPYJ9db1p/WB9WH1RPUm9Qb05PTE9Kb0ivRv9FX0O/Qk9Azz8PPM85zzZPMq8vTyx/Kh8n7yWfIy8gjx3/G58ZjxffFo8VfxR/Ev8Qzw4/C78KDwlvCW8JHwePBC7/fvqe9p70PvOe9C71PvYu9p72jvYO9S7z3vIu8E7uju1u7O7s3uyO607onuTO4G7cbtke1n7UDtGOzr7LvsjOxh7DzsH+wP7A7sHuw67F7siey/7QXtXO287hbuVu5p7kPt5O1c7MzsW+wl7C7sYeyS7J7sdewc66TrF+p26cHpBehZ59TneudB5xTm7ObR5tHm8ecm51zniue75//oX+jO6Tbph+nD6f/qSOqa6uDrBesF6vDq4Ork6v7rJutS64Truuvt7BDsFuwA697rxuvG69vr+uwV7CzsRexk7Ivss+zU7Ozs+u0A7Pvs5+zE7J3sfuxx7HfsiOyd7Lbs1+0D7TjtbO2V7bDtw+3W7fDuDe4p7kPuXe597qfu2u8O7z/vbO+Y78bv9vAl8FHwevCj8NLxCvFL8ZDx1PIR8kfyefKu8u3zOfOO8+b0PvSS9OP1MvWA9c72HfZt9r/3Evdn97z4Fvhz+NP5Lfl6+bL52vn/+jD6d/rU+zv7ofv+/FH8nvzp/TX9hf3d/j/+qf8S/3P/wwABADIAXACCAKkA0AD5ASQBTwF5AaEByQHyAiACUgKJAsUDBgNNA5cD3QQbBFIEhgS8BPUFLQVjBZkF1QYXBlsGmgbPBwEHOgeCB9MIHghTCG0Idgh8CIgImQioCLAIsQiwCLEItAi5CMII0gjvCRoJUgmVCeEKMgqFCtkLKQtyC6wLygvAC4gLKwq+CloKEQnkCc0JwgnACcoJ4goGCjIKXQqECqQKtwq7Cq8KnQqQCpEKngqqCqkKlgp5Cl0KSAo4CiMKAwnaCbEJkAl7CW4JZAlaCVMJUglZCWoJhAmlCc4J+wooCkwKYApdCkMKEQnCCU4IrgfgBuoF3wTRA8gCxgHLAOAAIP+s/6AAAQC4AZ4ChQNOA+MEQwR1BIwEmASlBLMEtwSnBH8ESQQXA/ED1gO7A5QDYgMsAvwC1AKtAn8CRwIMAdUBpwGBAV0BNwEOAOIAtwCMAGEANAAF/9L/nv9t/0T/Jf8R/wH+8f7f/s3+vf6t/pf+c/4+/f39uv13/TX88vy4/J38u/0V/ZH99/4U/df9W/zY/IT8dPyZ/NT9Cv0y/U39W/1Y/UH9Hv0B/Pr9Dv0w/U39WP1S/Ub9P/0//UX9T/1c/XD9iP2g/bH9tP2t/aD9lP2P/ZL9nf2s/b79zf3Y/d/95/3x/f/+D/4e/iv+Nv5B/kv+U/5b/mD+Z/5u/nb+fv6F/oz+lP6e/qv+t/7C/sn+z/7V/tz+5f7s/vP++P8A/wv/Gf8n/zH/Nf82/zb/Of9B/0r/Uf9W/1r/Xv9k/2n/a/9r/2n/Z/9m/2f/Z/9l/2H/XP9Y/1X/Vf9X/1n/Wv9a/1f/UP9G/zr/LP8e/xH/Bf75/u3+3v7N/rj+o/6N/nj+ZP5Q/jv+Jf4Q/f397P3a/cj9tP2g/Y39e/1p/VX9QP0p/RP8/vzp/NL8ufyg/Ib8bvxW/Dz8IPwC++X7yvuv+5P7dftX+zv7IvsM+vf64vrJ+rD6mPqC+nD6YPpQ+j76KPoO+fH50/m3+Z35hPlt+VT5O/ke+P/43/i9+J34ffhe+D74Hff999/3xfet95T3ePda9zv3HfcA9uT2yPas9pL2efZg9kf2L/Yc9g32APXy9eH1zfW79a31ovWa9ZH1iPWC9YD1gvWE9YT1hPWF9Yn1j/WY9aL1sfXE9dn17fX89gb2C/YL9gb1/vX39fb1+fX99fj16vXa9dL12PXj9eT10fWw9ZT1i/WU9aL1tPXY9ij2r/dT99z4GPf+97f3gfeD97j3+fgg+Cb4G/gY+CP4MPgx+Cf4Ivgz+Fz4kPjD+PD5H/lZ+Zf5zPns+ff59vn3+gH6Evon+j36Vvpy+o36pfq7+tX6+Psg+0b7ZPt6+5D7rfvP++78AvwN/Bn8MPxP/GT8Wfwm+9f7iPtQ+zP7JPsM+t36nvph+jr6Lvo0+jv6Nfoj+g76A/oE+gn6B/n4+d/5yfm7+bL5oPl6+T749/iy+Hr4TPgh9/L3w/ea9333avdZ90D3Gvbq9rf2ifZj9kf2M/Yk9hT1//Xk9cn1s/Wo9aX1pPWi9Zv1kPV/9WX1QPUY9Pr08fT99Q71C/Tj9Jv0SfQK8+7z8fP+9ALz8vPP85/zaPMv8vXyvfKH8lXyJvH78dTxtvGh8Zfxl/Gh8bbx1fH58hjyJ/Ih8gTx2PGn8XvxXPFN8UrxSvFH8T3xL/El8SPxKvE48UrxYfF/8aPxy/Hs8gTyEfIZ8iDyJfIn8ibyJfIs8j7yWPJ18o/ypvK/8t3zAPMl80vzbvOM86HzqfOr87Pz0fQM9Fv0q/Tq9RL1LfVF9WT1iPWq9cj14fX69hT2LPY99kf2TPZS9ln2X/Zl9mz2e/aV9rz27Pci91f3iPey99P37PgA+Bb4MPhP+HH4lfi9+Of5E/k8+V35dfmH+Zr5svnT+fn6JfpV+on6wPr5+zP7bfum+9v8C/w5/Gr8p/z2/VX9vf4o/pD+8/9Q/6f/9wBFAJgA9QFaAb4CEwJUAocCuALwAzMDfAPLBCIEhATxBV4FxAYdBnAGwgcVB2cHsgf1CDMIcAiqCNsJBQkvCWUJrgoBCkwKfwqaCqoKwQrpCx4LVQuIC7kL7QwkDFwMkQzBDPENJg1iDZ4N2A4ODkEOdQ6qDuEPGw9ZD5wP4RAiEF4QlxDSERMRVxGZEdMSBhI4EnASrxLvEy0TZROZE8sT/BQtFFwUjRTDFP8VPBV2FakV2BYIFjwWdRavFuYXGhdLF3kXphfRF/kYIRhJGHQYpBjXGQsZPRlkGX0ZhhmBGXYZbxlvGXcZghmOGZcZnRmgGZ0ZlRmHGXYZYBlGGScZBRjmGNEYxhi+GLIYmRh0GEkYIBf+F+AXxBepF5MXhBd8F3QXaBdTFzoXIhcTFw8XDhcLFvwW4Ra9FpUWcBZNFioWBRXcFbIVjRVuFVEVNBURFOcUuhSOFGgUTxRFFEwUXRRpFGMUQRQGE7sTbxMuEv8S4xLVEswSvxKlEoESWxJBEjkSQRJOElYSUxJJEj0SMhIpEiQSKxJLEoUSzhMOEzETLxMTEuwSyBKrEpMSfRJsEmUSahJ6EnQSmhLJEvoTJxNOE3QToRPZFBUUSRRtFIIUkBScFJ8UjBRdFBcT0BOfE48TnRPCE/cUPBSFFLoUuhRpE8MS5RIAET8QuhBqEDkQEA/nD8UPvA/bECMQhhDoES4RSRE8ERoQ+RDsEPgRFxE+EWMRgxGeEbgR1BHwEgcSFxIdEhoSEhIIEgER/RH8Ef0R/BHzEeARxRGqEZURihGDEXYRXBE1EQgQ3hDAELEQsBC8ENMQ7BD9EPoQ3hCpEGQQFQ/HD38PQg8QDuUOuQ6GDkkOAw24DWgNEgy7DHEMRgxDDGMMjAykDJwMfAxVDDcMIgwOC+8LxAuQC1gLHArfCqQKcQpNCjQKHAn/CdwJvgmoCZcJfQlLCP8Inwg3B8sHWwbpBnsGHwXfBbYFmgV7BVUFLAUIBOwE2ATHBLoEtQS5BMIExwTCBK4EjwRrBEkEKgQNA+4DxQOLAz8C5gKIAi0B1wGEAS4A2ACFADr/9/+3/3f/Nv76/sb+m/51/k3+IP3v/br9gf1B/Pv8tPxy/Dv8Dvvn+8L7mvtw+0P7FPrj+rH6fvpL+hb54Pmp+XL5OvkC+Mj4jfhU+CH39ffN96T3dPdA9wz23Pax9of2WvYm9e71t/WG9V31O/Ue9QL05fTI9Kv0kPR29Fv0PvQe8/7z3PO585HzYvMt8vbywfKU8m7yS/In8gHx2vGz8ZHxdvFj8VTxRfEv8Q/w6fDC8KXwlfCO8Ibwc/BN8BXv0++S713vPe8z7zfvQu9J70jvQO8z7yLvDu737tzuxO6y7qXulO537knuD+3V7afthe1o7UbtGuzo7Lrslex37F7sSew/7Ejsauyk7PDtT+3B7kXuze9C74jvjO9K7s/uKu1u7LLsD+ue62vraut763rrT+r86o3qEOmG6O3oS+ez5zvm7Oa75pXmceZW5lXmduaw5vHnLOdq57joHOiK6OfpJOlJ6XDpsOoI6mDqm+qo6pPqdOpk6mzqh+qu6tbq+usT6x7rIesl6zbrWuuJ67DrxevJ68zr4ewQ7FLsl+zR7PvtGO0r7TDtJO0G7N7st+yd7JDsjeyP7JjsrezT7QXtOO1i7X7tke2i7bjt0u3u7gzuLu5W7obuu+7w7yDvTe9576jv2fAK8DjwY/CO8L/w+vE/8Ynx0vIU8k3ygvK38vTzOPOE89X0J/R59Mz1HfVu9b32DfZf9rT3C/dj97z4Gfh8+OP5RPmY+dn6CPoy+mT6qPsB+2b7zPwr/ID8zf0Z/Wn9wP4e/n7+3P8z/4D/w//9AC8AWQB9AJ8AxgD1ASsBXwGMAa8B0AH1AiQCXAKZAtgDGwNjA60D9AQ0BG0EpATgBR4FWwWWBdIGEwZXBpgGyQbsBw0HQQeQB+8IRQh+CJcIoAitCMQI3gjtCOwI3wjTCNEI2AjkCPMJCAknCVEJhQnACgMKUQqqCwsLaAuzC94L3AurC1EK4wp5CiYJ9QngCd0J4gnvCgQKJApKCnMKmwrBCuMK+Ar6CukK0Aq/CsMK1groCucKzgqqCowKfwp+CnYKWwoqCfAJvgmhCZgJnAmjCagJrQm6CdUJ/woxCmEKhgqaCpgKfQpECegJYQisB8sGwQWVBFUDEwHmAOAAEf9//y3/If9h/+4AuAGjAowDUQPiBD0EbQSCBIwEkwSaBJwEjgRuBD8ECwPfA7sDmgNyA0IDDgLgArwCnAJ2AkUCDQHWAaYBfgFWAS4BBQDgAL8AnABxAD8ACv/Z/63/g/9U/yL+9v7X/sj+wv65/qv+mP6G/nP+VP4k/eb9p/1u/Tf88fyX/EP8Jfxo/Qj9x/5H/kP9vvz//GT8J/xI/JT82/0E/Rn9Jv0t/ST9Bfzc/ML8yPzs/Rj9NP03/Sr9Hf0a/SP9Mv1D/VX9af17/Yf9iP2A/XT9a/1q/XH9ff2M/Zr9pP2r/a/9tf3A/dH94/30/f/+BP4H/gr+EP4Y/iL+K/41/kD+Sv5V/l7+Z/5x/n3+iv6W/p/+pP6n/qn+rv62/r7+xP7K/tH+2/7m/vD+9v75/v3/BP8Q/xv/If8i/x//Hv8h/yj/MP82/zj/OP83/zX/M/8u/yf/Hv8X/xL/D/8O/w7/Dv8M/wr/Bf79/vL+5f7W/sn+vv61/q3+o/6U/oD+av5U/kH+L/4d/gr99f3f/cr9uP2l/ZD9e/1k/U/9O/0p/RX9Afzr/NX8v/yp/JL8evxj/Ez8N/wf/Ab76fvL+637kvt3+1z7Pvsh+wT66vrS+rv6o/qL+nT6X/pM+jr6KPoW+gL57PnS+bX5mPl9+Wb5Ufk8+SX5C/ju+M74rfiN+G/4Uvg2+Bn3+ffZ97v3n/eG92v3Tfct9w328PbV9rz2o/aI9m32VPY79iL2CvX19eP11fXI9bj1pvWV9Yj1fvV19Wr1XfVR9Uv1SfVL9U/1UvVV9Vf1WfVb9WP1c/WL9af1wPXS9d314/Xl9eP12vXQ9cn1yvXQ9dP1zfXA9bn1u/XC9cD1q/WJ9Wv1YfVp9Xz1k/W/9hb2ofdE98f3+/fc95b3afd597v4Avgq+Cz4IPgi+Db4Tvha+Fz4Z/iL+Mf5B/k4+Vb5bfmM+bf55foH+hf6GfoW+hb6HPoq+j/6W/p6+pb6rPrB+t37Bfsz+1z7efuQ+6z72vwU/Er8a/x2/Hr8jPyw/NX82/ys/Ez72ft7+0v7R/tS+0v7H/rS+n/6QPoj+iP6MPo4+jf6Mfou+i/6LPod+f/52fm2+Zz5hPlk+TP48/iu+G74N/gF99b3qveF92z3W/dK9zD3Cvbb9q/2ivZw9l32TfY+9iv2FPX59dz1wfWr9Zz1kvWL9YP1dvVj9Ur1L/UX9Qn1B/UH9Pv01PSR9EDz+vPT883z2/Pn89/zvPOE80Hy+/K68oHyUfIq8gfx5PHA8Z3xgfFv8Wnxb/GA8aDxy/H68iHyNPIv8hXx7fHC8ZrxffFr8WTxY/Fi8VrxTvFC8T3xQ/FR8WPxePGP8azxy/Hn8fzyCvIU8h7yKPIy8jvyRfJT8mbyevKK8pfyo/K18tLy+PMn81zzk/PE8+bz8/Py8/P0C/RB9In0zPT49Q71H/U99W71pfXR9ej17/Xx9fj2BvYW9iT2LvY79kz2YPZy9oD2j/ah9r725PcR9z73ZfeD95j3qPe599D37/gU+Dv4YviK+LX44fkK+Sr5P/lM+Vj5avmG+a352/oQ+kr6hvrD+wD7PPt1+6n72vwM/Ef8kfzs/VL9uf4a/nL+xP8S/1z/o//tAEQAsAEqAaECAQJBAmkCjwLDAwwDZwPLBDUEowUSBXkF0gYfBmgGtgcIB1gHnAfQB/wIKAhYCIoIuwjrCSMJZwm0Cf4KOgplCogKrQrYCwgLNwtlC5ULygwCDDcMaQyYDMsNAw0+DXoNtg3zDjQOdg6xDuQPEw9HD4cPzxAWEFMQiRDAEQERSxGTEc8R/RImElgSmBLhEyYTXxOME7MT2xQLFEMUgBS/FP0VNxVsFZ0VzhYCFjoWdRauFuUXGBdJF3kXpRfPF/UYHBhFGHMYpRjZGQwZORlaGWwZbxlnGV0ZVhlXGV4ZaRl1GX4ZhRmEGX0ZbxlgGVEZRBk0GR0Y/hjdGMEYrhiiGJYYghhlGEMYIRgCF+MXxBekF4cXbxdcF0oXNxckFxMXCxcMFxAXExcOFwIW8RbfFswWsxaOFloWHBXhFbYVpBWkFaoVpBWKFVwVIxTqFLsUnhSWFKEUthTEFLkUixQ8E9kTdBMdEtwStRKjEp0SlxKFEmQSPRIbEgoSChIQEhQSERILEgUR/RHuEdgRyBHPEfgSPBKEErgSzRLIErgSqhKdEo8SexJmElYSURJbEmoSjRK8EvATIRNME3MTnBPNFAIUNRRjFIsUrxTKFM4UsBRxFCUT6RPQE90UARQvFGIUmRTLFN8UsBQpE1ISWBFzEM0QchBMEDYQEg/TD4UPQQ8jDzsPhA/pEEoQjRCrEKwQpRCnELwQ3xEJES4RShFcEW0RgxGiEcoR8hISEiMSJxIkEh4SGhIXEhQSEBIJEf4R7RHWEbkRnBGBEWgRTxExEQ8Q7BDQEMAQwBDMENwQ5RDeEMIQkRBQEAMPrg9VDwEOug6GDmIOQw4cDegNqQ1oDSkM8QzADJsMjQyaDLwM4QzzDOYMwAyPDGQMRQwuDBoMAAveC7ELeQs5CvgKvgqSCm8KTwovChcKDgoUChoKCQnPCW0I8wh1CAEHmQc6BuYGowZ4Bl8GSgYpBfkFwAWHBVYFLQUJBO0E3gTgBPMFDAUgBSUFGAT8BNgEswSOBGgENwP0A5wDNQLKAmMCAwGkAUMA4QCHADn/9/+5/3X/K/7i/qX+d/5U/jH+Bf3O/Y/9Tf0J/Mb8hvxK/BT75Pu3+437ZftB+yD7APrb+rH6gPpM+hb54vmv+X35SvkW+OD4qvh4+En4Hvfz98T3kfdd9y33Avbb9rL2hfZR9hb12vWg9W31RfUl9Qr07vTQ9LH0lfR69GD0QPQb8/Lzy/Oo84fzYfMx8vnywPKN8mXyRvIo8gjx4/G78ZXxdPFb8UfxOPEo8RbxAPDm8Mvwr/CT8HjwXPBA8CDv+u/N757vc+9S7zzvL+8l7xrvD+8F7v7u9e7l7s/utu6d7ofubu5J7hbt3e2r7Yjtc+1e7T7tEezi7L3sqeyg7Jvsmeyj7MXtBe1e7cfuPe7D71Xv4fBG8GDwIe+V7truCu0z7Frriura6mTqL+om6h7p+Omp6ULo1+hv6APnjucW5q7mZOY45hvmAuXv5e7mCOY55nXmsubz50XnqOgR6Gjonui76NbpBelL6ZTpxunU6cPpp+mU6ZPppOm/6dvp8On76gLqEuo96ovq8OtT65PrpOuQ63jreeue697sI+xd7IjsquzH7N/s6+zq7N3szuzE7L7suuy37Lnsx+zm7RHtQO1o7YLtkO2X7Z3tp+227c/t8u4g7lTujO7C7vTvJO9V74fvvO/x8CXwV/CJ8L7w+vE/8Yvx2PIh8mHymvLQ8wfzQ/OH89H0IPRz9Mf1GPVm9bL2AfZT9qr3BPdf97z4HPiC+Oz5U/mv+fv6Ofpw+qr67/tD+6L8A/xf/LT9BP1V/a3+DP5t/sb/Ef9P/4X/uv/wACUAUwB4AJoAwgD1ATABagGZAbwB3AICAjICbAKqAuoDLQN2A8EECgRMBIkExgUIBUsFjQXNBg4GVwagBtwG/AcEBwsHMAeAB+0IVwihCMgI3Qj4CRwJPAlICTsJHwkHCP4JAwkPCR4JMQlNCXQJownZChsKbQrOCzQLjgvIC9QLsQtjCv0KlAo+CggJ8wn1CgEKEgonCkMKaAqPCrUK2gsACyMLPAtACywLDgr6Cv8LGgs0CzkLHwr0Cs4Kuwq3CrMKmwptCjMKAQnlCeMJ9QoLCh0KKQo5ClYKgwq4CuIK7QrMCn4KBQljCJcHoQaFBU8EDgLOAZsAfv+M/tj+eP50/sf/YQApAQoB7AK6A2ID3gQwBGAEfASLBJIEkQSIBHQEVwQxBAUD2AOtA4EDUgMfAuoCvQKbAn8CYQI5AgYB0gGlAYIBXwE3AQgA2wC3AJ0AgQBXAB//4/+x/4v/a/9D/xD+3f65/qn+pf6e/oz+dP5g/lL+P/4Y/dz9mf1e/Sv87PyS/DL8BfxL/Qz+A/64/sX+H/0c/Dv71Pvs/Ef8mvzH/Nn86/0E/RH8/vzS/Kf8nvy8/O39E/0c/Q78/fz4/QP9Fv0p/Tv9Sf1U/Vr9WP1Q/Uj9Rv1L/Vb9Zf1y/X39g/2G/Yj9jP2W/aX9t/3H/c/90f3O/cz90P3b/en9+P4G/hP+Hv4o/jL+PP5G/lH+Xv5s/nb+ev54/nT+c/54/oH+i/6S/pj+nv6m/q7+tv6+/sb+0P7d/ur+8v7y/u/+6/7r/vD++P7//wT/Bv8F/wH++/7z/uj+3f7U/s3+yf7H/sb+xf7D/sD+vP63/q/+pP6X/oj+fP5z/m3+Zf5Z/kf+M/4e/gz9/P3r/dn9xf2w/Zv9iP10/V/9R/0u/Rf9APzs/Nf8w/yv/Jv8h/xz/F38Rfwt/BX7//vn+877sfuU+3f7XPtB+yX7Cfrs+tH6tvqc+oL6aPpQ+jz6KfoX+gL57fnX+cP5r/mY+X/5ZflL+TX5IfkM+PT42fi7+Jz4ffhf+EP4KPgN9/H30/ez95X3efde90D3H/b99t72xPav9pn2gfZn9kz2NPYc9gX17vXY9cX1tvWo9Zj1hfVz9Wb1XPVU9Uj1OvUr9SD1G/Ub9SD1JvUr9Sz1KvUn9Sj1NPVO9W71jfWk9bH1uvW/9cD1ufWt9aH1nvWk9av1rPWl9Z/1n/Wk9aD1ifVk9UL1NfVA9Vr1ffW09hD2l/cw96j31Pe293n3WPd298D4Cfgu+Cz4IPgn+ET4Zvh7+IP4lPjA+QP5Svl8+ZL5mPmi+bj51/n0+gj6EfoW+hr6Ivow+kj6Z/qG+qD6tPrK+uv7HftX+4n7rPvF++T8FPxS/In8qPyt/Kj8tPzY/QT9FPzn/Hn75vti+xv7Ifte+6H7tvuH+x/6pvpI+hz6Hvo1+kn6UPpO+kr6R/o8+iL59/nE+ZX5bvlM+SP47Pio+GD4Hffk97X3kPdx91r3R/cy9xb28fbJ9qT2ifZ29mr2X/ZS9kL2LvYV9fb10/Ww9ZL1ffVu9WP1VvVG9Tj1L/Ut9TD1LPUX9Of0n/RO9Anz3/PR89Pz0vO/85bzW/MW8s3yh/JI8hjx9/Hk8dbxxfGu8ZXxgfF28XTxfPGQ8bPx5PIa8kbyW/JW8jzyFvHu8cjxqPGR8YbxhfGH8YPxd/Fm8VrxWfFj8XTxhfGV8aTxtfHH8dnx6vH58gjyFvIk8jXySPJf8nbyh/KR8pfyofK08tPy//M283jzwfQG9Df0S/RH9D/0SfRx9Kv04PT/9Qv1GPU49W31pvXL9db1zfXF9cr13vX09gb2FPYj9jz2XPZ+9pr2rva99s/25/cG9yf3RPdY92P3afdx94H3nPe+9+T4Cvgy+F34ifix+ND45Pjx+P75Evkx+Vr5i/nB+fz6O/p7+r36//s/+377vfwA/Ez8pv0I/Wv9w/4L/kb+ef6q/tz/Ev9W/7QALwC/AUwBvgILAjwCaAKlAvgDXwPOBEEEsgUdBX0FzQYSBlkGqQb+B0kHfgebB60HxgfxCCsIagioCOcJLAl5CcYKCgpCCm8Klgq8CuELCAsxC2ILmQvTDA0MQwx4DK8M5w0eDVUNkQ3bDjEOhw7RDwQPKQ9PD4QPxxAMEEgQfBCzEPYRRRGREc0R9hIaEkgSihLYEyMTXROFE6QTyBP7FDsUgxTIFQMVNBVeFYkVuxX2FjYWdBasFt8XDxdBF3IXoBfJF+8YFRg/GHAYphjcGQwZMxlNGVgZVxlOGUUZPxk/GUQZTBlVGV0ZYxlhGVcZRxk2GSkZIBkWGQYY7RjRGLUYnxiLGHUYWxg9GCEYCRfzF9sXvBeYF3IXUBcyFxgXABbrFt4W3RbnFvgXCBcPFw4XBhb6FukWzBadFloWDxXNFakVqhXIFesV/RXxFccVixVIFQwU3RTBFLcUtBSpFIcURxPwE5ATNhLqEqsSeRJTEjkSJhIVEgAR5RHMEbcRqRGcEY0RfxF5EX4RhhGDEXIRXBFXEXMRrhH3EjYSXxJ3EoYSlBKdEpoSiRJxElwSURJWEnkSkhK2EuUTGBNIE3QTnRPGE/IUIBRRFIMUshTQFM4UpBReFBcT7RPuFA8UOxRkFIoUtRTfFO8UvxQ7E24ShBGzESIQ1xC9ELIQmBBgEAwPrQ9fDzgPRA94D7wP9RAUEBoQFxAcEDYQZBCdENMQ+xESER4RLxFPEYERuhHqEgkSFxIeEiQSLBIyEjASKhIkEiASGBIEEd8RrxF/EVoRQREtERUQ+BDdEM4QzxDaEN0QyhCdEF0QGQ/bD6QPbQ8vDukOpg5vDkYOJQ3+DcsNjg1SDSINAQzvDOoM8g0FDSANNg08DSgM/QzFDJEMaQxSDEYMPAwnC/8LwQtxCxoKyAqCCkgKGwoACf8KGQpAClUKOQneCVIIuAgwB80HigdaBzMHEQb1BtoGtwaGBkgGCQXVBa8FkwV7BWcFXAVgBXQFkQWtBbwFuQWlBYMFWQUqBPUEtQRhA/gDfwMEApACJwHCAVwA9QCTAD//+P+2/27/Hv7N/of+VP4v/gv93f2h/Vv9FPzT/Jn8Zfwz/AH7zfua+2v7Rfso+xP6/vrk+r/6j/pY+h/56vm7+ZH5avlB+RX45vi3+Ij4Wfgo9/P3vfeJ91r3L/cF9tr2q/Z39jz1/PW89YH1UvUv9RH09PTS9LD0kfR39F70PvQV8+fzvPOY83nzVvMp8vLyufKJ8mTySPIu8hDx6/HB8Zfxb/FO8TTxJfEe8R7xHvEX8QHw2vCm8HDwQ/Al8BXwCO/179bvrO9/71XvMO8R7vnu6e7i7uHu4O7Z7snutO6d7obuae4/7gjty+2W7XPtXu1M7TLtD+zv7N7s3+zr7PjtCe0n7WDttO4W7nbuz+8s75Lv+PA78Dbv3O9A7ojtzu0U7Errb+qd6f/pruma6ZHpYuj+6HzoAOeg51LnA+an5knl/OXL5bDln+WQ5YnlkuWv5d7mF+Zb5q3nD+d0587oEOg96GHoiui46OPo/+kH6QDo8ujm6N3o2+jf6Ojo8Oj26P7pGele6dLqZery61DrbetU6yrrEusd60breOul68rr6uwN7DLsVOxx7Insnuyy7MTsz+zT7Nbs3+zy7RLtN+1c7Xjtie2O7Yrtg+2D7ZPtte3n7iLuXu6Y7s/vBO8472zvoO/X8BHwTPCH8MPxAfFF8Y/x3fIp8mzypfLY8wnzQfOC8870I/R89NP1JfVy9br2BfZV9qv3A/dc97j4GPh++On5U/m3+g/6Xfqj+un7MvuE+938OvyV/Ov9P/2W/fP+VP6y/wH/Pf9o/47/uv/tACQAVgB+AKAAxgD1AS0BZQGXAcIB7AIaAlACiQLEAwEDRQOQA98EKgRtBKwE7QUzBXgFugX5Bj4GjwbhBx4HMgckBxMHKQd5B/QIcgjQCQcJKQlMCXUJlQmaCYIJWwk5CSoJKgkyCT0JSwliCYIJqgneCiIKeQrdCzsLfguYC4ULTAr9CqcKWgojCggKBwoWCikKPApTCnIKmQrECu4LFQs9C2QLfwuFC3ELUQs7C0ELYQuFC5QLgQtUCyIK/QrrCuEK0Qq1CpAKbQpYClcKagqICqYKwArWCvALEAssCy0K+gqDCcYIzweuBm0FFwO5AmkBOwA//3b+3v55/lH+dP7n/54AgQFtAkgDAAOMA+8EMARZBHUEhwSRBI4EfARfBD0EGwP6A9kDsgODA0wDEQLYAqYCgQJmAk0CLQICAdEBpQGDAWgBSAEdAOkAtgCRAHgAXwA6AAX/yv+Z/3X/V/8y/wL+0P6s/p3+mP6O/nb+V/5D/j3+N/4c/eL9l/1T/R786fye/En8Hvxh/Sb+LP7x/wP+TP0k/Bv7mfup/Aj8YvyS/KX8vPzh/P389vzJ/Jb8f/yU/MP86/z6/PH84vze/Oj8+f0K/Rj9I/0p/Sv9Jv0g/R39IP0s/Tr9Sf1U/V39Y/1m/Wn9bP1y/Xv9iP2T/Zr9nP2b/Zv9oP2r/bz9zf3d/en99P3+/gn+FP4e/if+MP44/j/+Qf4//jv+Ov4//kn+VP5d/mL+Zv5s/nX+f/6K/pT+nv6p/rT+vv7C/sP+wv7B/sP+yP7O/tP+1/7W/tD+x/67/q7+ov6Z/pH+jP6J/oj+hv6E/oD+e/52/nD+aP5d/lD+Q/45/jD+J/4c/g39+v3o/df9x/23/aX9kv19/Wj9VP1A/Sn9Evz5/OH8yfyz/J78ivx3/Gb8VvxF/DD8GPv+++T7y/uy+5j7fftg+0P7J/sL+u/60/q4+p76hPpp+k76M/oc+gj59/nk+c75tfmc+Yf5dfli+U35Nfke+Qj48/je+Mb4qviM+G74Ufg1+Br4APfl98j3qveM92/3Uvc19xX28vbP9rL2m/aJ9nb2X/ZF9iv2FPX/9er10/W+9az1nvWQ9X/1avVV9UT1OPUv9SX1GPUK9P/0+PT29Pj0/fUD9Qf1BPT99Pf0/PUR9TH1VPVu9X31h/WP9ZT1k/WL9YH1fvWD9Yn1ivWE9X71gPWH9YX1bvVE9Rv1CfUX9T71dvW+9iH2o/cs95P3tveX92L3TPdw97z4Avgi+B74Ffgj+Er4d/iU+KD4rvjT+RD5U/mF+Zz5nfma+Z/5rPnA+dX56vn/+hP6J/o/+l36gfqi+rz60Prl+wn7QPt/+7j74Pv6/BX8Ofxm/I38oPyh/Jz8p/zI/PL9A/za/Gz7zPst+sf6wvsa+6H8D/wq++D7T/q1+kn6Ifou+k36Yfpk+mD6YPph+lf6M/n4+bH5cPk9+RD43fib+E/4A/fE95X3c/dZ90L3KvcS9vf21/az9pH2dfZj9ln2U/ZO9kb2OfYl9gn14/W59ZH1cPVY9Uf1N/Up9SH1JPUy9UD1PPUW9M70dvQm8/Pz4fPf89fzt/N/8zny8vKw8nHyNPH88dHxuvG08bfxt/Gx8ajxpPGl8avxtPHF8ebyFvJN8nvyj/KH8mnyQfIa8fbx1/G/8bPxsvG18bHxofGH8XDxZfFq8XvxjPGX8Z3xovGq8bjxzPHg8fLyAfIP8iDyN/JQ8mjyd/J/8ofyl/K18uDzFPNR85rz7PQ79Hf0kPSL9H30f/Sd9Mz09vUM9RL1HPU49WT1jvWk9aH1lfWT9aX1xfXk9fr2B/YX9jT2XPaI9q72x/bW9t/26vb59w33Ifcw9zf3OPc49z/3T/dp94n3rffU+AD4LvhZ+Hr4kPif+K/4xvjp+Rb5SfmB+b/6APpF+oz61fsh+3D7xPwa/HP8y/0g/Wr9o/3L/eX9+f4P/iz+V/6b/wH/iQAoAMYBSwGtAfcCOwKLAuoDVQPEBDIEnQUCBVsFpwXuBjsGlQbxBzsHYQdkB1sHYQeGB8YIEwheCKYI7wk+CY4J2AoUCkMKaAqKCqwK0Qr8Cy4LZwujC+AMHAxaDJcM0Q0EDTQNbQ25DhkOfQ7SDwsPLg9OD3sPtw/5EDYQbhCoEO8RPhGKEcUR8BIVEkcSixLaEyQTWxOAE50TwxP5FD4UiBTMFQAVJRVHFW8VphXqFjMWdRasFtsXCRc6F2wXnBfFF+kYDRg4GGsYoxjZGQcZKRk9GUQZQBk3GS4ZKRkoGSwZMhk4GT4ZQRk9GTIZIRkPGP8Y8hjmGNcYxxi5GK4YoxiRGHMYSxggF/8X6hfdF80XsReJF1kXKxcEFuQWyRaxFqEWnxatFskW6RcAFwQW9BbVFqwWfhZIFgwV0RWiFY0VmBW5FdsV7BXiFb4ViBVJFQkUyxSVFGgUPRQME8oTfRMxEvkS2RLGEq0SfhI9EfkRwBGaEYIRbhFaEUIRKBENEPgQ7xD8ERoROxFMEUURLxEkETgRbhG5EgMSPxJuEpMSsBK/ErwSpxKMEnYSaxJsEqYSsxLIEuoTFxNIE3cToRPIE+4UGRRHFHgUoBSyFKEUbhQrE/MT3hPtFBIUNRRQFGoUkRTCFOMU0hR5E90TIhJwEeURjRFfEUsRPREkEPMQqRBREAQP0g/BD8QPyA/BD68PnQ+bD7UP6hAwEHcQrhDNEN0Q6xEKETsRdRGmEcUR1xHpEgcSKxJIElUSUhJLEkUSPxIsEgMRyhGQEWURTRE9ESYRBxDpENsQ4RDuEOoQwhB3EBoPyA+SD3gPag9UDywO9w7BDpAOZA42Df8NwQ2HDVsNRA1ADUkNVg1jDWsNbA1gDUYNGwznDLYMkQx/DHsMdgxfDCoL1QtrCvkKiwooCdQJlgl7CYkJtwnqCfgJwAk/CJEH6QduBy4HHQcgByAHEgb1BscGiwZDBfwFxQWsBbAFxgXhBfwGFwY0BlIGbQZ8BnwGbgZVBjQGCgXXBZkFSwToBG0D4QNRAssCVgHuAYkBIQC4AFYAAP+0/2f/Fv7E/nv+Qv4X/e79vv1+/Tb87vyx/ID8V/wu/AD7zPuZ+2z7Svsz+yP7E/r9+t76s/p++kT6C/na+bP5k/l2+VT5LfkA+M/4m/hk+Cv38fe694X3VPcj9vL2wfaL9lD2EPXN9Y/1XPU29Rb09fTQ9Kr0i/Rx9Fj0N/QM89rzrPOH82jzRfMZ8uXysfKF8mLyRfIm8gPx3PGy8YrxY/E/8SHxEPEO8RvxLvE58TDxDvDX8JjwX/A38B/wEvAE7+3vy++i73XvSO8e7vzu4+7W7tHu0e7O7sbuue6o7pLucu5E7gvtz+2d7Xzta+1f7VHtP+0z7TXtRO1X7Wftd+2V7czuFu5e7o/upu647tnvCu8t7x7uz+5U7dXtaOz/7H3r0usZ6ofqQeo56jbp++l06MPoHuep51znGubH5mXmCuXJ5aLlheVn5UnlOeVG5XLlt+YL5mXmvucS51/no+fg6BnoS+hz6I/ooeiw6L/oyOjE6K/okOhy6GDoWehV6FPoXuiO6PLpgOoY6pDqzerR6rfqn+qe6rXq2usB6ybrSetv65frwOvp7BPsPOxk7IXsneyq7LDss+y77Mvs5e0J7THtVe1r7XDtau1m7XPtle3K7gnuSe6G7sHu+e8u72Dvku/G8AHwQvCG8MjxCvFN8ZTx3fIj8mDyk/LB8vHzKvNw88P0IPSA9N71NfWC9cr2EvZf9q/3AvdW9674C/hx+N75S/m1+hj6c/rH+xb7ZPu2/A78avzI/SP9ev3R/in+gv7V/xv/UP93/5r/w//0ACsAXgCIAKsAzgD3AScBWwGRAcgCAAI5AnICqQLhAx4DZgO3BAoEVgSaBNsFHwVoBawF6QYjBmcGvQcYB1sHbgdWBzoHSgecCCAIqAkOCUkJagmKCa4JxgnECaYJfQlcCU8JUAlYCWIJbwmACZUJsAnWChEKYwq/Cw4LOQs4CxQK3gqlCnIKSAotCiMKKwo8Ck8KXwpxCo0KtQrkCxMLQAtqC5ILsAu6C6wLkgt/C4cLqAvSC+oL4Qu6C4ULVAsyCx8LFQsNCwIK9QroCuQK8QsPCzoLZAuEC5QLkAtuCxoKfgmOCFIG4gVcA9kCaAEa//7/Kv6p/nf+hf7B/yP/qgBWARwB6QKmA0IDuQQNBEYEawSDBJIElwSQBHoEVwQtBAYD5gPNA7IDjQNbAx8C4QKqAnwCVwI5AhwB+gHUAawBiAFqAU0BKwD9AMcAkQBmAEYALAAN/+T/tf+J/2X/Q/8b/u3+v/6f/pD+if58/mH+Qv4u/i3+MP4c/eX9mP1O/Rj86fyp/Ff8HvxB/OD9yv6M/rD+FP0E/AX7gvuN++n8Q/x0/Ij8ofzG/OP83fyv/Hf8Vvxe/IL8qPy//MX8xfzJ/NH82/zk/Oz89fz8/Pz89/zy/PL8+v0J/Rj9Jf0u/TX9O/1B/Ub9S/1Q/VT9WP1c/WD9Zf1r/XD9d/2B/Y/9n/2v/bz9x/3T/eH97/36/f/+Af4B/gP+Bf4I/gv+Dv4V/h7+Jv4s/i/+Mf43/kL+UP5e/mr+dP58/oT+jP6T/pf+mf6Y/pf+mP6c/qL+pv6m/p/+lP6I/nz+cv5p/mD+WP5R/k7+TP5K/kX+P/45/jP+Lf4l/hz+EP4E/fj97P3f/c/9vv2t/Zz9jf19/Wz9Wf1F/TH9HP0I/PL83PzF/K78mPyB/Gz8V/xE/DT8JPwS+/375fvL+7H7mPuA+2j7Tfsx+xX6+Prc+r/6o/qI+m76VPo4+h36Afnq+db5xPmw+Zn5f/lm+VH5Pvkr+Rf4//jo+NP4wPit+JX4evhc+D/4JfgL9/L32fe+96P3h/dq9033L/cQ9u32yfam9on2c/Zi9lD2OvYg9gf18fXd9cn1tPWf9Y71gfV09WP1TfU19SL1E/UI9P308vTn9OD02/TX9NX01vTb9OL04/Td9NP0z/Tb9Pb1GPUz9UT1TPVT9Vv1YfVj9WP1ZfVr9W/1bPVj9Vz1YPVq9Wz1VvUp9Pn04fTw9SP1bvXJ9jX2sfcr94H3mvd89073QPdo97L39/gY+Bj4Ffgq+Fr4kPi2+Mb40Pjn+RL5Rvlx+Yj5jfmH+YH5gPmJ+Z35u/nf+gL6I/pE+mv6l/rD+uf7Avsa+zr7Z/uc+8378fwI/Bn8LPxD/Fn8aPxz/ID8lvy3/Nn85/zL/HT75/tD+r76jfrL+1/8B/xw/GP75vsy+pT6Pfoy+k/6a/p1+nT6fPqQ+qD6kvpZ+f35mflE+QP4zPiN+EH38fep93P3Tvcx9xb2/Pbj9s32tPaW9nT2U/Y89jL2MfYy9jD2KPYa9gP15PW+9ZX1bvVQ9Tf1IvUP9QL1AvUQ9SD1HvT69LT0YPQc8/fz7/Pr89HzlvNE8vHyq/Jz8kHyCvHU8arxl/GZ8afxtPG88cLxy/HX8ePx7vH98hvySvKB8qzyu/Kq8oPyVvIv8hHx+/Hs8ePx4vHh8djxwfGh8YPxdfF68Y3xoPGp8ajxofGd8aTxtPHI8dvx6PHz8gHyF/Iv8kXyU/Jc8mryh/K18u7zLPNv87j0CvRY9JH0p/Sh9JP0l/S19OP1CPUZ9Rv1IfU29Vb1cPV69XT1cPV99Z31xfXl9fj2BvYa9jv2Z/aU9rn20vbg9ub26Pbs9vP2/vcJ9xD3EPcP9xH3G/cu90n3aveS98D38/gj+Er4ZPh2+If4ofjG+Pf5Mfly+bn6AvpK+pD61fsf+3D7yPwh/HL8uPzv/Rn9OP1L/Vb9X/1r/YH9rP3z/l3+5v+DACEArwEmAY4B9AJeAs4DPQOoBA4EcQTPBSMFbgW5BhAGdQbYByAHOgcrBw4HBgcmB2kHvAgNCFgIowjyCUUJkAnOCf0KIwpHCm4KmQrJCv4LNgtxC60L7QwwDHUMtAzqDRcNSA2KDd8OPQ6TDtMO/w8mD1YPkw/XEBkQWRCbEOQRMBF3EbER4RIREksSkhLdEyATVBN7E54TyBP/FEEUhRTAFO0VDhUuFVkVlhXhFi4WchaoFtYXBBc2F2oXmRe/F+AYAxguGGIYmBjLGPUZFBknGS4ZKhkhGRcZERkRGRcZHhklGSkZJxkfGRAY/hjrGNcYwhiuGJwYkxiWGKIYrBilGIUYUBgXF+kXzxfEF7oXohd4F0EXChbeFr4WpxaSFoEWexaHFqYWzBblFuAWthZyFicV6BW7FZ0ViBV7FXgVfxWKFY4VgxVmFT0VCxTTFJMUTRQGE8ITfhM1EuYSnBJvEnISoBLcEv4S6BKdEjcR2RGUEWkRShEqEQcQ5RDNEMoQ4hEVEVQRiBGcEYoRYxFGEU4RfxHOEiISbBKoEtUS8xL7Eu4S0hK0EqESmxKeEuES6RL0EwkTKhNSE30TphPNE/QUHBRGFGoUgBR8FFwUJhPvE8kTwhPSE+wUARQSFCkUTxSBFKcUqRR2FBETixL+EnsSEhHMEawRqxG3EbYRlxFaEQ4QxhCLEFsQLg/8D8kPoA+MD5UPvA/3EDoQcxCZEK4QvRDXEQARMBFYEXERhRGkEdYSFRJMEmoSbhJmEl4SWBJIEiUR8RG8EZURfhFsEU8RKBEDEPEQ9xEFEQEQ1RCBEBwPxg+UD4UPig+LD3sPWA8qDvkOyA6XDmIOKQ3yDccNrg2oDasNrw2rDZ0Nhg1qDUkNIwz4DNAMtAyoDKUMmQxxDCILsgsxCq8KNQnFCWAJEAjlCOcJCgkrCSII0whGB54HDQa3BqEGtQbSBuAG0waqBmkGFgW9BW8FQQU9BWQFpwX6BlIGqwb/B0MHawdxB1sHNQcMBuUGvgaQBlYGCQWjBR8EggPZAzcCqgI2Ac8BZwD5AIoAIv/G/3L/H/7M/nz+OP4B/dL9of1n/Sb85vyv/IT8Yfw8/BH74fuz+437cPta+0b7Mfsc+wT65fq7+oT6RfoK+dz5uvmh+Yf5Zfk8+Q342vik+Gn4K/fs9673cfc29v72x/aP9lT2FPXT9Zj1Z/VB9R/0+fTR9Kz0jfR19Fr0M/QB88vzm/N381rzOfMP8t3yrPKB8lvyNvIN8eLxuPGU8XPxUvEw8Q/w+PDy8P7xF/Ey8UHxPvEl8PzwyvCW8GbwO/AV7/Tv1u+475bvcO9G7xzu9u7Z7sXuvO667rzuu+6y7p7ufO5Q7iHt9u3Y7cntw+2+7bTtpu2b7ZvtpO2t7a7tq+2y7cvt8O4J7gLt3O2x7Z3tqe267aztb+0Z7NHsreyc7HTsHeuq607rNOtP62jrPuq86gbpWOjZ6IToOOfY52Lm7eaN5kLl/eW05W/lSOVW5Z/mEeaM5vTnOOde53fnlOfD5/7oOuho6IjooujD6OzpDukU6PfowuiP6G/oY+ha6EXoJugV6Cvodujn6V7pvun46hPqIeov6kjqauqR6rrq4+sL6zLrVut5657rxOvr7A7sLOxB7E7sVexZ7GDsdeyd7NbtFO1J7WjtdO167Yntq+3e7hfuUe6K7sPu/O8072fvlu/H7//wP/CD8MfxCPFK8Yzxz/IL8kDybvKd8tTzFvNk87z0HPSA9OD1OvWJ9dD2FvZf9qz2/PdN96L3/vhk+NL5RPm1+iH6hfri+zj7ivve/Dj8mfz+/V/9uP4H/lD+lf7X/xL/Rv9y/5v/xv/2ACkAXQCMALUA2gEBASwBXwGZAdcCFwJTAosCvwL4AzoDigPjBDkEhwTMBREFXAWrBfIGLQZhBqIG+AdXB54HtAedB4EHkQfkCGkI7wlRCYUJnwm3CdAJ3QnSCbEJiwlzCW8JdgmACYsJlgmiCa0JuAnKCfIKNAqCCsQK4grZCrgKlAp2CmEKUApCCj8KSApbCm4KfAqKCqAKxQr1CycLVgt/C6QLwgvUC9ULzQvIC9UL9QwcDDUMNQwbC/ELwwucC4ALcgtwC3ULegt6C3kLggucC8YL7wwEC/ILrQssCmUJTQfkBkEEiALlAXcASv9i/sL+cf51/sX/Tv/1AKUBVAH9ApsDJwOaA/MENQRnBIwEowSuBKwEngSGBGMEOQQMA+MDxAOoA4oDYgMvAvcCvwKNAl4CMwILAecBxwGqAY0BbQFKASQA+wDOAJwAaAA3AA7/7f/S/7f/lv9y/0v/Jf79/tT+rP6N/nr+bv5g/kr+MP4e/hv+G/4K/dr9kv1L/RT85/yo/E/7+/vr/Ez9BP21/fT9kPy9++v7efuD+9b8Lfxi/Hz8lPy0/Mn8vvyR/Ff8Lfwj/DP8Tvxr/IX8nfyw/Ln8uvy5/L78yPzR/NP8zfzI/Mr81vzm/Pb9Af0H/Qr9Dv0T/Rv9Jf0t/TD9Lv0p/Sj9Lf03/UL9S/1T/V39bP19/Yz9mf2m/bX9xf3S/dj91v3R/dD91P3c/eX97f3z/ff9+v37/fz9/v4F/hH+Iv40/kP+T/5X/lz+Yv5n/mr+av5n/mP+Yf5j/mj+bf5u/mn+X/5V/k7+R/4//jT+Jv4a/hH+Df4L/gf+Af36/fX98f3t/eb93P3Q/cL9tP2k/ZL9gP1t/Vz9TP09/S39Hf0L/Pn85/zT/MD8rPyY/IL8bPxU/D38J/wR+/z75/vR+7r7o/uL+3X7YftO+zj7IPsF+un6zfqy+pf6e/pe+kH6JfoJ+e350vm4+aH5jPl3+WD5SPkw+Rr5Bvjy+Nz4xPit+Jn4iPh2+GD4Rvgp+A739ffe98n3sveb94P3avdP9zL3E/by9s72qPaF9mj2UfY+9ir2E/X59eD1y/W59ab1kvV+9W31X/VR9T/1KfUS9P/07/Ti9NX0yPS/9Lz0uvS49LP0sPS09L30xfTD9Lj0r/Sx9MX04fT79Qr1EPUV9R31J/Ux9Tn1QvVM9VP1UfVI9UH1Q/VO9VH1PvUS9N/0wvTN9QH1U/W29ib2n/cQ91/3ePdi9z/3OPdi96339Pgd+Cf4LPhF+HX4rfjZ+PD4+vkG+Rz5OflW+Wr5dPlz+Wv5Yvli+XH5kfm7+eb6Dvo2+mX6nfrY+w37NvtT+237iPum+8L71/vk++379fwA/BD8KPxJ/HH8mvy+/Nn85/ze/K78TPu8+yX6vvq6+yH7xfxQ/Hj8JPt8+s76Xfo8+lD6bPp1+nT6gfqn+tX65/q9+ln52Plg+Qf4xfiI+D736feV91H3Hfb19tH2svab9oz2f/Zq9k32LfYW9g32DvYR9gz2AfX09ef11vW99Zr1dfVT9Tj1IPUG9O303fTa9OL04/TM9Jv0XPQo9Az0A/P1883zg/Mo8tLyjvJb8ivx9vHA8ZnxjPGY8a7xwfHN8dbx4fHw8f/yDPIe8j/ycfKp8tPy2/K/8ovyVvIv8hnyEPIN8gzyCfIA8e/x0/G08ZzxlPGe8bLxw/HH8bvxp/GW8ZDxmPGn8bbxv/HI8dXx6vID8hnyKPI28k7yePK08vnzQPOJ89f0J/Ru9Jn0oPSP9IH0jfS29On1D/Ud9Rv1HfUs9UP1VvVe9WH1bvWL9bL11fXs9fr2CvYn9k72efae9rn2zfbc9ub26vbp9uf26Pbs9vH28/by9vT2/vcR9yz3Tvd296f33fgT+D/4X/h0+If4pPjO+Qj5T/mh+ff6SvqR+sn69vsi+1b7lPvU/A78Ovxc/Hn8lvyz/M785fz7/Rr9SP2O/e3+Yv7n/3H/+QB9AQEBiAIRApUDDwN7A98EPASUBOUFMgWCBd8GRwapBuoG/AblBsQGvAbdByEHcgfACAYITQiaCOwJOQl5CawJ1goACiwKXAqPCsYK/ws7C3cLtwv7DEQMiwzJDPwNKg1dDZ0N6A40DngOsg7oDyIPYw+qD/MQPRCHENERGRFaEZMRyhIDEkQSihLOEwwTQRNyE6ET1BQKFEQUfBSuFNkU/BUhFVEVkBXaFiQWZRaaFsoW+hcvF2IXjxe0F9UX+hgmGFkYixi4GNwY+BkLGRQZEhkJGP4Y+Bj5GQEZDBkTGRQZDRj/GO4Y3RjMGLkYpBiNGHkYcRh5GI0YnxifGIIYSxgMF9cXuBerF6EXiRddFyQW6hbAFqkWoBabFpUWkRaZFrAWyhbSFrMWahYHFakVahVTFVkVahV6FYEVfxVxFVMVJBTqFKsUbBQtE+cTnBNQEwwSzxKVElsSLhImElcSuxMwE4MTkxNeEwESoxJXEh4R7BG3EYIRWhFMEWMRnRHrEjYSYhJbEiQR2BGcEYwRsBH3EkgSkxLPEv0TGRMhExIS9xLcEs4SzxLYEwcTERMaEyYTOBNTE3QTmRPBE+oUExQ3FE4UTxQ6FBIT5BO9E6kTphOuE7oTyBPbE/QUExQtFDYUJhP6E7YTXxL5Eo0SKxHlEcsR2xIAEh8SIRIFEdQRnxFsETgQ/RC6EHUQOBAKD/EP7hADECkQVhB7EJQQpBC1ENEQ9BEVES4RRhFqEaAR4RIbEj4SSRJJEkoSUBJPEj8SHhH4EdkRxBGvEY8RYxE3ERsRExEWEQwQ5RCiEFAQBQ/RD7cPrQ+oD5wPhQ9jDzsPEA7lDrsOkQ5pDkYOLQ4dDhQOCA3zDdINqQ1/DVUNKQz9DNQMuAysDKQMjQxTC/ELcgrtCnEJ/wmTCSkIygiHCGkIaAhmCEYH9weDBwkGrgaGBowGqwbHBtAGvQaQBkwF9QWWBUAFBgT3BRQFVgW3Bi8GvAdOB9EIKghMCD0IEQffB7IHjAdkBzMG8AaTBhEFZwSfA9MDHQKKAhUBrAE/AMsAV//t/4z/Mf7U/nb+IP3a/aT9eP1M/R387fzC/J/8gPxe/DT8B/ve+7z7ofuI+2z7T/s3+yX7FPr2+sX6gvo6+fz5z/mw+Zb5ePlW+S/5BPjV+J74YPgb99T3jPdI9wf2yfaM9k72EPXU9aH1d/VS9Sz1AvTY9LX0m/SF9Gb0OPP887/zjfNr81DzMvML8tzyrPJ98lDyIPHv8cDxmPF58V/xQ/Ei8P3w3fDJ8Mjw2vD68SDxQvFX8VjxP/EM8MfwffA78Anv5+/O77Pvk+9r7z7vEO7l7sHurO6n7q/uuu687rDumO587mjuX+5h7mbuZe5W7jbuDO3j7cftue2z7antme2J7X/te+1r7ULtAuzC7KDsouyy7Kvse+w16/7r8ewB7Ajr6eux64vrnOvg7CfsOewB65brJerN6obqNOnC6TbopOgc55vnF+aP5hrl4OX+5nbnI+fP6Ejod+hn6DvoG+gd6D/obuiT6Kvowujn6RrpSeld6UvpI+j/6PXpAOkH6O3oqehO6ADn3uf36ELop+kP6Wnprung6gTqJOpD6mjqkOq66t/q/usW6yzrROti64frr+vY6/zsFewj7C/sRexv7LDs/+1J7YHtpO267dLt8u4b7kXubu6Z7srvA+8973Pvo+/R8ATwPPB58LXw8fEu8WzxqvHj8hfyS/KG8szzHfNz8830KfSH9OX1PfWJ9c32DfZT9qD28/dH9533+fhf+M75Q/m4+ir6lvr5+1T7qvwC/GL8yv03/Z399P44/m7+nP7K/vz/MP9j/5P/wf/uAB8AUwCJALsA6QEUAUIBdwGzAfICLwJmApoCzgMLA1YDrQQKBGIEsQT6BUYFmgXyBkEGgQa6Bv0HUweyB/kIDgf2B9gH5gg2CLUJNgmTCcUJ3wn0CgQKBAnqCcAJnAmLCY0JlgmZCZkJnAmlCbAJuQnECeAKEQpRCocKoAqaCoIKawpdClUKTApDCkMKUQpsCoYKmQqmCrcK1gsDCzYLZAuLC60LywvlC/YMAgwNDCEMPgxcDG8McQxhDEgMKgwLC+4L2QvRC9oL7QwBDA0MFAwZDB8MGAvwC5MK8goJCNgHYwW3A/UCSADf/9b/Mf7i/tn/DP93ABIAzAGNAkAC2wNcA8MEEwRPBHkEmQSyBMMExwS/BKwEkgR1BFQELgQDA9kDsQOLA2QDNwMFAtICoQJyAkICEAHgAbgBmwGFAW0BTAEfAO4AwACYAHAAQgAQ/9//uP+d/4j/b/9M/yP++/7Z/rv+nP59/mL+T/5C/jX+JP4S/gb9/v3s/cb9iv1I/Q/83fyd/EP75fu2++X8a/0C/Uz9E/x2+8v7avtw+7v8EPxN/HH8jPym/LX8qfyC/E38HvwB+/j8APwa/ET8cPyR/J78mvyT/Jf8ovyt/K78pvyg/KT8s/zF/NX83vzi/OP84fzi/On89f0D/Qr9Bvz8/PT89/0E/RP9Hv0l/S79Pf1Q/WL9b/15/YX9lP2i/av9rf2p/af9q/20/b79xf3I/cj9x/3H/cr9z/3X/eP98v4D/hT+Iv4t/jT+OP46/jn+N/4x/iv+Jv4m/in+Lv4w/iz+Jf4e/hv+GP4S/gb99P3i/dT9y/3G/cH9vP24/bX9s/2x/av9o/2X/Yn9ev1q/Vj9RP0w/R39DPz9/O/84fzT/MT8tPyk/JP8gfxt/Fb8Pfwi/An78PvX+777pPuL+3L7XPtK+zr7LPsd+wv69PrZ+r36ovqJ+nH6Vfo3+hj5+fnd+cL5p/mL+XD5Vvk9+Sb5D/j4+OT40Pi9+Kf4kfh6+Gf4VvhE+C74FPf59+D3y/e396P3j/d592T3Tfc09xj2+fbX9rX2kvZx9lP2OvYj9gv18PXU9br1pfWT9YP1c/Vh9VD1QPUu9Rr1BPTv9N30z/TB9LH0ovSY9Jb0l/SX9JL0jfSP9Jj0o/Sn9KD0lvST9J70s/TI9NP01/Ta9OD06vT19P71CfUY9SX1LPUr9SX1JfUr9S31HvT49Mn0qPSp9NL1HPV99e/2afbc9zD3VPdN9zn3O/dm96739/go+D/4TPhj+Ir4uPjh+P35C/kT+Rv5Jfkz+UT5VPlc+Vr5UflL+VT5b/mY+cb58/oi+ln6m/rg+x/7Tvtv+4P7kPuY+577ovum+6v7s/u++9P79vwo/GL8l/y+/Nj86vzy/OL8pfwv+5f7D/rT+v77ePv5/DT8A/t8+uH6cfpI+lD6X/pc+k/6VfqB+sT68vri+on6Afl6+RH4yviO+Ef37veP9zj28va49ob2XvZE9jn2NfYt9hv2BPXz9e/18fXv9eT11PXI9cT1wvW29Z31evVZ9UD1LPUS9PD0zPS09Kz0rPSi9Ib0XfQ39CD0E/P/89DzgvMm8s7yifJS8iDx7PG88Z/xnfGx8cvx3fHj8eXx6vH28gXyFfIt8lPyi/LG8vHy9/LV8pvyX/I08iHyIPIn8izyKPIY8f/x4fHI8bvxvPHJ8djx4PHZ8cLxpPGJ8XrxevGC8YvxkfGX8aPxufHW8fDyBvIb8jvybPKu8vnzRvOZ8/H0SPSL9Kf0mvR59Gb0efSu9On1EfUb9RX1E/Uf9TL1Q/VO9V/1fPWm9c315vXw9fj2DfYz9mD2hvae9qz2u/bO9uH26/bq9uL22/bZ9tz23/bh9uX28/cK9yr3T/d696v34PgW+EX4afiD+J34wfj0+Tn5jfns+kv6nvrZ+vf6/vr7+wD7FPsy+1P7dfuY+8X7/vw8/Hn8rPzW/QD9MP1q/bD+Av5f/sv/Rf/OAGUBBAGkAjwCwwM6A6IEAARYBKoE+wVRBbAGFAZtBqUGsQaeBocGigazBvcHQgeGB8MIAQhJCJgI5QkoCV8Jjgm7CekKGApLCoQKwwsGC0gLiAvJDA8MWgyjDOMNGA1IDXkNsw30DjcOeQ65DvkPOw+CD8wQGhBqELcQ/xE/EXkRshHuEi4SbhKsEugTJRNjE6ET3BQSFEQUcxShFMwU9RUgFVIVjxXTFhYWUxaIFrkW7BchF1MXgBemF8wX9xgpGFoYhhiqGMYY3RjvGPkY+BjvGOQY3RjfGOcY8Rj4GPYY6xjbGMsYvBixGKgYnBiMGHwYcRhvGHUYehhzGFgYKxf3F8kXqBeUF4IXZRc5FwIWzhasFqQWrxbAFssW0BbTFtgW2hbFFowWMBXGFW8VQRVAFVoVehWRFZoVlBV+FVEVDhS7FGUUFBPIE3sTLBLjEqoShhJxEmQSYxJ9EsITLxOqFAwUOhQyFAoT2ROsE30TRBMBEsESlBKLEqgS4hMkE1UTXBMtEtESZRIPEecR8hIeElUSiRK3EuETAhMWExgTChL4EuwS7hL5ExETHhMnEyoTLRM3E0wTbBOUE78T6BQIFBYUDxP1E9MTthOjE5sTlhOTE5UTohO8E9cT4hPRE6UTbBM0EwESzBKLEj8R+hHSEdUR/RIxElgSYxJWEkASLRIbEgIR2hGhEV4RGRDWEJkQaRBOEEwQYBB8EJMQoBCnELIQyBDkEQIRHhE9EWARhhGoEcER0hHkEf0SHRI3EkISOhInEhQSAxHxEdYRrxGBEVcRNxEfEQcQ6RDCEJIQXxArD/sP0w+zD50Pig9yD1MPLg8LDu4O2A7GDrQOoA6MDnYOXQ48DhEN3w2nDWsNKwzoDKsMgAxqDF8MRwwOC7ELPgrKCmIKAgmhCTgI0Ah5CD0IFwf1B8YHhQc7BvsG1AbLBtgG7Qb9BwAG8wbXBqcGYQYIBagFVAUbBQcFGAVSBbkGTQcEB8AIXwjECOoI4gjDCKAIfghZCCwH8QedBx4GawWIBJEDqgLvAmIB8wGJARcAnAAk/7P/SP7e/nL+Df25/Xv9UP0v/RH88vzV/Lz8pPyG/GH8NvwO++370fu0+5H7bftQ+z77Mfsa+u36qPpY+g350fmm+YT5ZflH+Sr5Cvjm+Lf4ffg69/L3qPde9xb2zvaJ9kb2CfXV9ar1hvVi9Tn1DfTj9MP0rvSa9Hn0RPQB87/zifNm80vzMPMM8t/yrvJ78kfyEvHf8bHxi/Fs8U/xMPEO8Ojww/Ck8JHwj/Ch8Mbw9/Ep8UrxTfEu8PLwqvBo8DbwEe/x783vo+9571DvKe8A7tjuue6q7q3uuO6/7r7uue677s3u6u8H7xXvCe7f7pvuSe347b3toO2b7Z3tl+2D7WbtR+0j7PPsuOyC7GbsbOyC7Insa+wy6/fr1OvF67Trj+tf60jraOu97CXsdeyZ7Jzsk+yI7G/sM+vL60LqqeoL6WDopefk50Lm7ucF54PoPOjz6XHpm+l66Tbo+ejc6N3o5+jm6NXox+jO6O/pHelC6VHpVelk6YzpxOnv6ezpqOku6JvoGefL58ToAOht6OvpX+m16erqBeoW6irqSupx6pfqs+rD6svq1+ry6yLrY+uq6+zsH+w/7FXsa+yQ7MjtEO1a7Zvtze307hjuPO5d7nnuku6t7tTvCO9A73fvp+/T8AHwMvBm8Jjwy/ED8T/xf/G98fryPPKH8t/zO/OW8+30QvSb9PT1SPWQ9c32CPZK9pn28PdK96P4APhj+NH5Rfm7+i/6n/sI+2r7yPwm/Iz8+v1r/dL+Jf5g/of+pv7I/vT/Kf9g/5P/wf/tABsATwCIAMEA9gEqAV8BmQHXAhMCSQJ7AqwC5AMnA3YDzwQrBIQE1gUlBXcF0QYvBoYG0QcWB2MHvwgdCGAIcQhTCC8IMwh5CPAJbQnNCgcKKQpBCksKPQoUCeAJugmuCbQJtgmoCZAJggmJCaAJvAnWCfQKGwpICm0KegpvClcKQwo4CjUKMgoyCjwKVgp8CqEKuwrICtUK7QsVC0cLeguoC9AL8gwPDCQMMwxADFIMagyBDIwMhwx3DGUMVwxNDEAMMwwrDDMMTAxpDHoMbwxEC/oLkAr+CjkJOQgABpgFDgN5AfgAsv/J/1H/Qf+B//IAgQEiAdACfgMeA6MECQRUBIwEswTOBN4E5gTnBN8EzASyBJYEewRkBEsEKgQAA9EDoQN0A0cDFwLjArACfwJQAiEB7wHAAZcBeQFiAUgBIwDyAL0AjwBpAEgAIP/v/73/lP94/2L/Rv8e/u/+yP6v/p7+if5q/kn+Mf4m/iL+GP4F/fD94P3R/bf9h/1H/Qb8yvyL/D/78vvH++b8T/zL/Qv83fxT+7n7XPtb+5778/w3/GL8gfyY/KP8mfx7/FH8Jvv++9/70/vj/A/8R/xy/IP8f/x3/Hn8g/yK/Ib8ffx4/H/8kPyh/K38tfy4/Ln8tfyx/LP8v/zQ/Nz82/zR/Mf8yfzX/On89/z//Qj9F/0q/Tv9Rf1J/U/9Wv1q/Xf9ff1+/X/9g/2L/ZP9l/2X/Zb9lv2Z/Z/9pv2v/bf9wP3L/dn95/30/f3+Av4D/gH9/v35/fP97v3s/e798v3z/e/96f3k/eH94P3b/dH9wP2t/Zv9jf2C/Xv9df1z/XL9c/1x/W39ZP1Z/U39QP0x/R/9DPz4/OX80/zF/Lf8qvye/JH8g/x1/GX8U/w9/CP8Bvvo+837tPuc+4T7avtS+zz7Kvsc+xH7Bfr4+uX6zfqw+pL6dvpe+kf6LvoR+fH50/m3+Z35g/lm+Uj5K/kQ+Pf43/jJ+LX4o/iT+IH4bPhX+EL4L/ga+AP36vfS9733rPea94b3b/dW9z/3KPcQ9vX22Pa69pz2fvZh9kX2KvYP9fP11fW29Zj1gPVu9WD1U/VE9TX1I/UP9Pj04fTM9Lz0sPSk9JT0hfR59HX0d/R59Hb0cPRu9HP0fPSC9ID0evR39H/0jfSb9KP0pfSo9K70t/S99MD0x/TV9On0+vUC9QD0/fT+9P/09fTY9K/0ifR99Jj02fU69bP2Nfau9wj3Nvc+9zn3Q/dt96/39Pgo+Ef4Wvht+If4pvjF+N/48vj++QL5BfkM+R35M/lH+VD5TflI+U35Y/mH+bP55Poa+lf6mfra+xD7OftW+2n7c/t0+2/7afto+2/7fPuR+6771vwI/D78b/yX/Lf80/zn/OH8q/w6+6P7FfrI+tb7LfuU+8r7rvtN+tb6fPpU+kz6R/ox+hX6EPo1+nj6r/qx+mv59fl4+RX40/ic+Fn4Afed9z326vaj9mP2LfYI9fb18fXu9eP11PXK9cj1y/XK9b/1sfWp9av1sPWp9ZL1b/VR9T31L/UY9PT0yPSl9JT0kPSL9Hf0WPQ49CT0GPQD89Tzh/Mr8tLyifJR8iHx9fHS8cLxyfHe8fPx/fH78ffx+fID8hPyJvJA8mjynvLY8wTzD/L08r/yhPJV8jzyOPJA8kfyQ/Ix8hXx9/Hj8dvx3/Hn8ezx5vHV8bnxmfF+8W7xa/Fw8XbxefF88YfxnPG68dfx8PIL8jDyY/Kj8unzNfON8/D0UfSX9Kv0kPRl9FH0bfSs9O/1FvUc9RL1DvUZ9Sv1PPVM9WP1ivW39dr16fXq9e/2CPYy9l/2ffaK9pL2oPa59tH23PbW9sj2vPa89sX20Pba9ub2+vcY9z73Z/eS97737fgd+Er4b/iQ+LL43fkX+V/5svoJ+lv6m/q++sD6p/qE+mn6Yfpu+ov6tvrx+z/7m/v9/Fb8nvzW/QX9Mf1c/Yj9uP3z/kT+sf84/9QAfAEkAcYCWQLcA1ADuAQYBHQEzwUtBY4F7AY7Bm0GfQZ3BnAGgAatBu0HLgdmB5gHzAgKCFEImQjaCRMJRwl3CaYJ1AoHCkMKiwrYCyILZAuhC+EMKgx5DMcNCw1DDXYNqg3kDiMOZQ6lDuQPIw9mD64P+xBMEJ0Q6REtEWsRoxHbEhISShKEEsITBhNOE5UT1RQLFDoUZRSSFL8U7BUaFU0ViBXIFggWRBZ5FqsW3hcSF0QXcxefF8wX/xgyGGEYhhihGLYYxxjUGNsY2RjQGMcYwhjEGMsY0hjUGNEYxxi5GKoYnhiWGJIYkBiNGIcYfhhxGGIYThg3GB0X/xffF74Xnhd+F10XORcPFuQWwBavFrYWzhbqFv0XAhb8Fu8W1xasFmYWDBWyFXEVVhVcFW8VfhWEFYQVgBVyFU8VEBS+FGsUIxPkE6QTXhMYEuASxBLFEt0TBBM6E4IT2RQzFIEUthTXFOwU+BT4FOEUsRRyFDYUDhQCFA4UKBQ/FEMUJhPgE3wTERK5EoQScRJ1En8SjRKgEr8S5RMKEyETJBMXEwcS/xMEEzgTRBNIE0ATMhMpEy4TQhNiE4cTqhPDE88TyRO5E6cTnRObE5gTjhN+E3YTghObE60TnBNgEwsSuRKBEmASQxIaEekRxRHFEfASNBJzEpYSmxKREooSjBKTEpESfRJWEiER5RGhEVcRDRDMEKIQkxCZEKYQrBCrEKkQsRDFEOEQ/RETER4RIxElES0RPxFhEZERxhH3EhgSJxIqEicSIxIbEgwR7xHEEY4RVxEnEQUQ8BDlENYQuhCLEE0QDw/cD7wPqA+VD3oPVw80DxoPDQ8HDv8O7w7WDrcOlA5sDj0OAw2+DWoNCgymDEwMDwvyC+sL4Au8C3oLJgrQCn4KLQnRCWkJAQikCFoIHgfnB68HewdRBzYHKgcpBywHMQc3Bz4HRAdEBzUHDAbEBmUF/gWfBVYFKwUnBVYFwgZpBzUIAgipCRgJUQlmCWUJVgk5CRAI1wiICBEHZQaCBX4EgAOsAw0ClgIqAbMBKwCdABX/mf8k/rP+Rv3k/ZX9W/0y/RL8+Pzh/M78vfyo/Ir8ZfxA/B78APvh+737lvtz+1j7Q/sn+vr6uvps+h752Pmd+W35Rvkn+Q749/jZ+LL4fvhC+AH3u/dy9yX21vaK9kT2CPXX9bH1kPVu9Uf1HPT09Nf0w/Su9Iv0VvQU89DzmfNx81TzOfMZ8vLywvKM8lPyG/Hn8bjxjvFk8TzxFfDx8NDwr/CM8GrwT/BE8E7wbPCU8LnwzvDL8LbwmvB/8GnwTvAk7+rvqu9171PvPu8q7w7u7e7Q7r7ut+6y7q/ute7O7vzvMu9c72vvWO8m7tzuhO4x7fXt4O3u7gnuF+4K7eXttu2I7VvtK+z87Nzs1uzm7Pjs9uzZ7Knsc+w46/Trp+th6z3rTuuP6+jsPeyD7MLtAO077WDtWu0k7MfsUOvB6xjqVemH6M7oUOgj6EbooekN6WTpkOmR6XnpXulP6UTpLOj86LnoeehU6Fjoe+is6ODpF+lZ6azqB+pW6n/qbOoX6Yzo6uhY5/3n8ug16KvpMOme6eTqAuoK6hHqJ+pL6nLqjuqX6pbqm+q66vnrUOuv7ALsQOxo7ILsmey27N3tDu1G7X7ttO3q7h/uUO557pburO7C7uHvDO8872vvlu/C7/HwI/BU8IHwr/Dj8SPxa/G08f7yS/Kg8v3zW/O09Ab0V/Ss9QX1WPWe9dj2D/ZQ9qD2+vdX97H4Dvhw+Nv5TPnA+jT6pvsX+4P76/xR/Lr9Kf2X/fr+Sf5+/qH+vf7e/wn/Pf90/6b/0//9ACsAXwCYANEBCAE/AXkBtwH1Ai8CYwKUAskDBgNMA5kD7gRIBKUFAQVZBa8GCAZjBr4HEwdiB7UIEAhqCKkIuQibCHIIbgipCRYJkAnxCi4KUQpnCmwKWQosCfsJ3gnfCe0J7gnSCaYJhgmJCa0J3woLCiwKRQpYCmEKWgpECicKEwoNChQKIAoxCkkKbAqZCsQK4QrvCvcLBgsnC1sLmgvcDBcMRgxiDGkMYgxXDFcMaAyADIwMggxkDEUMNwxADFQMYwxqDG0MdQx8DG4MMgu9CxEKOgk/CCMG6AWTBDUC5AG2AMIAHP/U/+oATwDnAZQCQALkA3oD/QRmBLAE3gT5BQsFFwUdBRwFEQT/BOUExgSkBIYEbQRYBD8EGgPrA7cDhgNaAzADAALJAo4CVgIkAfgBzwGlAX4BWgE7ARsA9gDKAJsAbwBHACL/+f/J/5r/c/9W/z3/G/7t/rv+lP6A/nb+Z/5L/ir+E/4M/g3+Bf3u/dL9v/23/an9hP1F/Pv8tfx2/Dn8Avvp/A78b/zf/RX84/xZ+777W/tS+4/74vwn/FX8dPyI/I/8hPxs/Ev8J/v++9T7uPu7++H8G/xO/Gj8avxk/GP8Zvxl/Fv8UfxS/F/8cPx8/ID8gvyF/In8iPyD/IL8i/yd/Kz8sPyp/KH8pPyz/Mb80/za/OH87fz8/Qn9Dv0O/RL9Hf0t/Tz9Rv1L/VH9Wf1k/W39c/10/XP9cv10/Xn9gP2H/Yz9kP2V/Z39qP20/b39wf3C/cD9v/29/br9t/22/bj9u/27/bj9sP2o/aL9n/2b/ZP9h/12/WT9VP1F/Tr9NP0y/TP9Nf00/S/9Jv0c/RH9Bvz5/Oj81vzD/LH8ofyT/Ib8efxt/GD8UvxD/DL8HvwI++37z/uy+5n7g/tw+1z7SPs0+yH7EvsF+vn66/rb+sb6rfqO+m76T/o1+h36Bfnq+cz5rvmS+Xj5XvlC+SX5Cfjv+NX4vfik+I/4ffht+Fz4Sfgz+Bz4Bvfx99r3xPev95/3kPd/92j3Tfcw9xX2/fbl9sv2sPaU9nz2ZPZL9jH2FfX59dz1vvWe9X71YvVM9Tz1L/Uh9RL1APTt9Nf0wPSr9Jr0jvSE9Hr0bvRj9F70XfRe9Fz0WPRT9FL0VfRX9Fj0V/RZ9GD0a/R19Hr0ffSD9Iz0lfSX9JT0k/Sd9LH0x/TV9Nb00fTQ9NP0z/S79JP0Z/RQ9GL0pvUU9Zv2Jfad9vD3G/co9y33QPdr96b34vgS+DT4TPhg+HL4hfiZ+K/4xfjW+OH45/jx+QP5Hvk6+U35Vvlb+WT5dvmR+bT53/oT+k76iPq5+t76+fsR+yj7OvtB+z77OPs4+0P7Wvt6+577xPvr/BD8MfxU/H38q/zO/Mn8hfwC+2D61fqP+p365/s6+2b7VvsV+sb6hfpd+kb6LfoN+fH56/oG+jb6W/pV+hr5vflc+RD43Piu+HL4IvfG92z3GvbP9of2RPYO9ev11/XK9br1qPWc9Zv1ovWo9aj1pPWh9aL1ofWU9Xj1VfU39SL1EfT59Nf0s/Sb9JL0j/SE9Gn0Q/Qk9BX0EfQD89nzj/M08tvylfJh8jryGfID8fvyA/IR8hzyG/IT8g7yE/Ii8jfyS/Ji8oHyq/La8wDzEvMI8ufyufKM8mvyWvJW8lfyVPJF8izyEfH98fPx8fHv8ejx2vHG8a7xlvGB8XbxdvF98YXxivGO8ZfxqPG/8dbx7fIK8jHyZPKe8tjzGPNm88X0JfRp9Hv0YfQ89Db0YvSw9Pj1HfUe9RH1DvUc9TP1RvVY9W/1kvW39dH12PXV9dr19PYd9kP2XPZm9nH2hvai9rb2t/al9o/2hfaQ9qr2x/bi9vr3F/c792P3jPew99P39vgc+EH4ZPiE+Kb4z/kD+T/5f/m7+ez6DfoW+gf55/nD+av5qfnB+e/6MvqK+vT7avvd/EH8jvzI/PX9G/08/Vn9d/2i/eb+Sf7I/1z/+gCdAT4B2AJnAusDZAPWBEMErAURBXMFzQYaBlEGcAZ9BocGnAbEBvcHKgdVB3sHpAfVCA8ITQiJCMMI+wkxCWUJlwnOCg8KXAqvCv4LQQt9C7kL/gxPDKMM8Q00DW4NpQ3eDhkOVg6VDtMPFA9XD5wP5hA0EIYQ1hEgEWERlxHHEfcSKhJjEqUS7BM2E30TvBPyFCEUTRR6FKcU1RUFFToVdhW4FfoWNxZuFqAW0hcFFzgXaxedF9EYBRg1GF4YfRiSGKEYrRi0GLUYsBioGKQYpBioGK0YsBiwGK0YpxidGJAYgRh0GGwYaxhvGHQYdBhoGE8YKxgGF+kX1RfFF68XjBdeFy0XAhbhFs0WxBbHFtYW7BcAFwcXABbsFs8WqhZ5FjoV8hWxFYQVbhVkFVYVPhUkFRMVDxUNFP4U2RSqFIIUbhRmFFYUKxPnE54TaRNcE3kTtRP/FEkUixS/FOoVFBVEFXsVqxXEFbsVlxVnFT8VJhUaFRQVCxT9FOUUvhSDFDcT5hOeE2UTPBMaEvsS4hLaEucTCRM0E1cTZRNeE0kTNhMwE7QTvxPAE68TkhN1E2YTZRNuE3sThxORE5YTlBONE4cTiROOE4oTdxNaE0UTRBNPE00TJBLUEnkSNBIVEg0SABHjEcIRuhHfEisSfxK9EtgS2BLREtES2xLlEucS2hLAEp4SdxJIEgwRwBFrERoQ3RC9ELUQuRC7ELcQshC3EMkQ4RD1EPoQ8BDfENYQ3xD7ESYRVxGHEbER0xHtEgISEBIXEhMR/BHTEZkRWxEoEQwRBxEPERQRBRDfEKYQaRA3EBcQAw/xD9YPsA+ID2YPTw9ADzAPFw71DswOog51DkEOAA2rDUEMxwxMC+QLoguJC4wLjwuAC1gLIQrkCqIKVQn4CZIJLwjbCJYIVggYB90HrweTB4gHggd5B20HYwdhB2sHfgeTB50HkgdmBxsGuQZRBfAFoQVsBV4FhgXwBpEHUAgICJ8JDAlVCYIJlwmTCXkJSgkICKsIJgdzBp0FwQT+BGQD6gN4AvMCVQGpAQUAdf/5/4P/Cf6M/hX9s/1q/Tj9Ffz8/Of81PzA/Kj8i/xr/Ez8L/wS+/H7yvuh+3r7VPss+v76xfqD+jv58vmq+Wj5M/kM+PH42vi++Jj4afg09/v3vfd49yv23PaR9k32EvXi9bv1m/V89Vz1OvUY9Pv04fTF9J/0bPQv8/Lzu/OQ82/zVvM98x/y9vLA8oPyRvIN8djxovFp8TDw/vDY8Lvwn/B88FDwIu/87+Tv3u/m7/XwB/AZ8CzwRfBj8Hzwf/Bd8Bjvxu+E72PvXu9j713vRu8n7wXu5O7E7qnuoO6z7uHvGO9D71XvUu9A7ybvA+7f7sbuxu7g7wPvE+8B7s/uku5b7irt9+2/7YntZO1Z7WTtdO167WvtRe0H7LTsWOwK697r2+v17BXsLexC7Gfsp+z/7VTtje2a7XftLuzG7Ebrs+sS6mzpxukr6KfoSOgY6BToMOhZ6IPopei76Lzon+hh6A/nwOeM53/nmOfL6A7oWuiv6QzpbunQ6ibqYOpo6i/puOkj6JzoUOhU6J/pEemA6dHp+uoG6grqGuo66mDqfOqF6oHqh+qq6vDrTOun6+/sIexC7F/sfOyc7Lzs2+z97SXtV+2T7dfuG+5Z7onure7L7urvDe8x71Tveu+m79rwE/BI8HfwpfDc8SLxdfHL8h7yb/LC8xnzcPPB9A70XPSy9Qz1YvWr9en2I/Zo9rn3Efds98X4IviH+PT5ZPnW+kn6vvs2+6v8HPyH/PD9Wv3D/iH+bf6k/sr+6v8N/zf/Z/+Y/8b/8gAfAFAAhQC9APQBKAFdAZYB0QIMAkMCdwKsAucDKANuA7cECQRoBNIFPgWhBfgGTAajBv8HVwelB+sIMQh3CK4IxAi1CJoImwjSCTcJpQn5CiQKNQo7CjsKMAoWCf0J9woNCiwKOQoiCfUJ0QnPCfMKJwpRCmUKZgpcCk0KNwocCgMJ9wn+ChYKNApTCnEKkwq7CuULBAsUCxgLIAs6C3ELwAwaDG4MqwzFDLgMjAxWDDUMOgxbDHkMdQxFDAIL1AvWC/4MLgxHDD8MHAvmC5QLFApYCWUITAcfBeoEsQN+AmMBeQDWAIMAgADHAUgB7gKhA0sD4ARcBMIFEgVHBWIFZwVhBVkFUQVHBTgFIwUIBOoEyQSoBIkEbQRPBCoD+wPEA44DYAM6AxMC4wKpAmgCKwH4AdABrAGHAV0BMgEIAOQAxACjAH8AVQAp//r/y/+d/3H/S/8s/w7+6/6//pD+a/5V/kr+O/4j/gf99v3z/fX96v3P/a79mv2V/Y/9cv04/O78qPxp/Cv78vvX+/v8Y/zf/SX8/vx3+9T7ZftQ+4L7z/wT/EL8ZPx6/ID8c/xY/Dn8Gfvz+8f7ofuV+6/75fwe/EP8UfxS/E/8SvxA/DL8K/wy/ET8Vfxb/Fb8UfxU/Fv8X/xe/F38Zfx1/IX8i/yG/ID8g/yP/Jz8pfyp/K78t/zB/Mb8xvzG/Mz82/zu/P39CP0R/R79L/1D/VT9Xf1g/V79Wv1X/Vb9V/1b/WD9Y/1m/Wv9cv16/YD9g/2C/YH9gf2B/YH9gf2B/YT9h/2H/YP9ev1v/Wb9X/1a/VP9Sf08/Sz9Hf0P/QX8//z+/P/9APz+/Pj88Pzn/N780/zG/LX8ovyP/H78bvxg/FP8R/w7/C78IPwQ+//77PvY+8H7qfuQ+3v7afta+0z7O/sp+xj7B/r1+uP6z/q6+qP6i/pu+k76LvoQ+fb53vnD+aX5hvlp+U75NPkZ+P/45vjP+Lf4nfiD+Gv4VvhE+DH4G/gD9+v31vfC9673mveH93f3afdY90D3JPcG9uv20/a79qD2g/Zo9lL2PfYn9g318vXY9b/1pfWI9Wj1SfUw9Rz1C/T79Oj01vTE9LL0nvSK9Hf0afRh9Fv0VvRO9Ej0Q/RC9EH0P/Q79Df0NfQz9DL0M/Q49EH0S/RT9Fj0XfRn9HT0f/SC9H30efR+9I/0pPSx9LP0sPSy9Lv0v/Su9IX0U/Q09EX0k/US9af2M/ae9t329/cB9w73Lfdf95f3yvfx+BD4LPhF+Fv4bPh6+Ir4n/i1+Mr42/jq+P75Fvkx+Uv5Y/l4+Y35nvmt+bz50/n3+iX6U/p4+pH6p/rA+t/6+/sM+xH7EvsZ+yv7Sftv+5f7vfvb++37+fwN/Db8c/ys/Lj8ePvu+0T6t/p1+oX6x/sK+yv7Ifr5+sn6nPpz+kv6JPoF+fn6AvoZ+i36K/oH+cf5ffk6+Qn45vjC+JH4TvgC97f3cPcr9uP2mvZX9iL1+/Xa9br1nfWI9YT1jvWf9az1sfWv9af1mPWA9WD1PfUb9Pz02/S59Jz0jvST9KD0ofSG9FL0G/P48/X0AfQC8+HznfNG8vTytPKH8mfyTfI78jXyOvJB8kHyN/Iq8iTyLfJC8lzyc/KH8pvysvLM8uTy9PL68vLy3fK+8prye/Jl8lnyUfJG8jPyHvIK8fzx8vHn8drxy/G78azxnfGR8YzxkvGg8bLxwfHL8dTx3vHo8fPyBPIg8kvygPK08uLzDvNF843z2fQO9Bv0BvPz9Af0S/Sp9Pj1G/UY9Qn1CfUc9Tr1U/Vn9Xv1kvWp9bf1uPW29b711/X59hb2K/Y79lH2cPaN9pj2i/Zv9lf2WPZ09qL20fb59xr3Ovdd94H3ofe698/35ff/+Bv4NPhJ+Fz4c/iS+Lf43/kB+Rf5Ifke+RH5Afj3+Pv5FPlE+Yr54/pN+sb7RPu6/Bz8Zvyb/MP85f0C/R39Ov1k/aP9/f5u/vH/fwAWALIBUAHpAnsDBwONBAsEfgTkBT8FlAXkBiwGYwaIBqAGtgbUBvkHHwc/B1sHeAecB8sIAQg7CHYIswjvCSsJZQmiCecKNQqHCtQLGAtVC5IL1wwlDHcMxQ0KDUgNgw29DfgONA51DrwPBQ9PD5YP3BAkEHIQwhEPEVERhBGwEdwSDxJMEo8S1RMYE1kTlRPME/4ULBRZFIcUtxTqFSMVYxWmFegWJhZdFpAWwhb2FywXYxeaF9AYARgsGE0YZxh4GIQYixiKGIUYfhh5GHsYgBiGGIkYiBiHGIUYghh8GHAYXxhLGDsYMxg1GEEYTBhMGDgYERfkF78XqhedF4kXYhcpFu4WwhavFrQWxhbaFukW8BbtFt4WxBakFoMWYBY6Fg8V4RW1FY8VbRVEFQ0UzBSRFGwUYRRmFGsUaxRvFIkUvRT8FSQVGxTcFH4UJxP5FAQUPxSUFOUVHhU9FU8VZxWSFcoV+hYQFgUV5xXKFbsVthWwFaAVhhVrFVQVOxUaFOsUshR3FD0UBxPRE5wTcBNUE04TYBOBE6UTvhPFE7wTsBOsFFsUbRRxFGEUQRQdE/8T6BPRE7gToROPE4QTexNxE2oTaBNoE14TQhMZEvUS4BLVEr0SihJDEgQR5xHsEfkR9RHeEdAR6RIwEowS1xL8Ev8S9xL1EwATDhMVExETBhL4EukS2xLIEqYSaBILEZgRKRDbELoQvxDOENQQzBDBEMQQ2BDzEQMQ/RDnEM0QuxC3EL8Q0BDrERARPhFwEZ4RwxHZEdsRxhGcEWYRMhETEQ4RHxE1EUAROBEdEPcQzhCpEIkQbhBVEDcQEw/qD78PmA91D1IPKw8ADtIOpQ53Dj4N9A2QDRYMjwwSC7QLgQt2C38LhAt1C1ELIQrsCq4KYAoACZsJQgj/CMsImghkCDEIDQf9B/kH8gffB8QHqgebB5oHpge5B8wH1QfIB58HWgcGBq0GWQYOBdYFwgXgBjQGrwc5B7kIJwiBCMsJAQkdCRwJAwjdCK4IbwgXB6EHGAaNBhIFpAUyBKgD/gNCAosB7gFnAOEASP+X/uD+P/3J/YH9V/04/Rn89/zW/Lf8m/x//GT8S/wy/Bb79PvL+5z7avs3+wb61Pqe+mD6F/nG+XX5Mfj++Nr4vfib+HL4QvgR9933pfdm9yH22/aZ9lz2JvX09cr1qPWP9Xv1ZvVN9S/1DPTl9Lf0hPRN9BTz3/Ox847zd/Nn81bzN/MI8szyjPJP8hPx0/GN8UbxCPDY8LPwj/Bl8DPwAO/R76nviO9v72HvYO9u74/vxfAL8FTwhvCM8GLwHO/a77fvte/G79bv2e/O77Xvje9X7xzu8u7m7vrvHO8570zvXe9475zvvu/S79nv3e/o7/Lv6+/K75HvUu8Y7uLuqO5j7h3t5O3F7cDtzO3c7ebt4O3D7YztR+0I7OHs0+zM7LXshuxQ7DTsTOyZ7QLtXu2M7X7tPOze7IDsLOvb62/qyenh6M/nyecE5p7mjua35vTnLOdS52LnWuc85xHm5+bM5sbm1eb45yvnaeeu5/foSeiq6R/pm+n/6inqB+mk6Sjoxeie6LjpAulb6abp1Onm6ezp9+oR6jPqUOpf6mXqc+qa6tvrJ+to65Lrq+vF6+rsG+xO7Hjsluyt7Mfs7+0o7XDtwu4T7lvulO7C7ubvBu8j7z7vX++K78Hv/fA38GrwnvDd8S3xivHo8kDykPLe8y3zfPPI9BL0XvSx9Qv1ZPW09fv2QfaM9t73NPeK9+L4QPip+Rr5jfn++nH66ftl++D8Uvy8/SL9iP3v/k7+nP7X/wL/Jf9H/2v/kf+6/+YAFQBJAIAAugDyAScBWQGKAbwB8AIiAlMChQK9Av0DQQOGA88EJgSRBQwFhwXyBksGnQb3B1kHswf0CBoINQhWCIAIoQiuCLEIxQkBCWAJvQn3CgAJ7QnZCdUJ2gngCeYJ9goZCkMKXwpdCkQKLAoqCkMKZAp4CnQKXwpECi0KHAoNCgUKCQodCj8KZQqFCp0KtQrUCvoLHQsyCzkLQAtcC5kL8wxbDLkM+w0RDPIMoww9C+4L2gwBDDsMTAwSC58LLwr6Cw0LQgthC0kK+Ap/CeoJNQhXB1UGPwUpBB4DIwJCAYsBFwD0ASMBlAIxAuQDlwQ5BL0FIAVnBZkFugXKBccFtwWhBYoFdQVfBUYFKwUOBPEE0gSxBI0EZwQ9BAwD1AOZA2MDNgMPAuUCtAJ6Aj4CBgHYAbABiwFjATUBBADVAK4AkQB5AFwANAAF/9P/o/94/0//Jv8A/t3+vP6Y/nP+Uv44/ib+FP4A/ev93/3d/dv9zv2x/ZD9ev1z/Wn9Tf0b/N78pPxn/Bv7x/uQ+6j8HPy8/Sv9Ivyh+/H7a/tA+2T7qfvr/B/8Svxr/Hj8bPxN/Cv8Dfvt+8P7lvt6+4H7qvvi/BH8LPw3/Dj8Mvwk/BX8D/wX/Cr8Ovw9/Db8L/ww/Df8Pfw9/D/8SPxW/GT8Z/xi/Fv8W/xh/Gf8avxt/HP8fPyC/IL8ffx7/IT8lvyr/Lr8xvzT/Oj9BP0h/Tf9Q/1H/UX9P/04/TL9L/0w/TX9Of09/UD9Rf1J/U39T/1O/U39Tf1N/U79T/1S/Vb9Wf1Y/VH9R/07/TH9Kv0k/Rz9Ef0D/PT86Pzf/Nr82fzY/Nf81PzP/Mj8wPy4/LH8p/yZ/Ij8c/xf/Ez8O/ws/B38EPwE+/n77vvg+9D7wfuy+6L7kft++2z7XPtP+0L7M/sg+wv69frc+sL6p/qO+nf6YfpJ+iz6DPns+dD5tfmZ+Xz5XPk++SL5CPjw+Nf4wPiq+JL4ePhe+ET4Lvga+AT37PfS97r3p/eX94X3cfdc90n3OPcm9xD29vbb9sL2q/aS9nX2VvY69iP2D/X69eH1xvWu9Zr1hfVt9VH1M/UY9QP07/Tb9MT0rvSd9I70fvRr9Ff0RfQ79Dj0NvQy9Cv0JPQg9B/0IPQg9B/0HPQY9Bb0FfQY9B/0KPQx9Dj0P/RJ9Ff0ZPRq9Gn0Z/Rt9H30j/Sa9Jz0nPSl9Lb0w/S49JD0WPQ09EP0lPUa9bL2OfaV9sP20vba9u/3GfdR94j3tPfS9+v4CPgp+Ej4X/ht+Hn4ivih+L341/jt+P/5Efkm+UD5YvmJ+az5wfnG+cD5vvnL+ej6C/os+kj6ZfqG+qr6yPrb+uX67/sB+xz7PPtd+4L7qPvH+9X70PvJ+9n8DvxW/Ib8cPwK+3b68Pqr+rD64vsT+yf7HvsI+u/61Pqt+nn6Rfol+iT6N/pJ+kH6FvnT+Yj5Svkg+Qb48vjX+K/4efg89/33wfeD90L2/va99oH2TfYd9e71xPWl9Zn1oPWy9cT1zPXI9bj1n/WB9WD1O/UQ9N/0q/SB9HD0gfSo9Mf0v/SG9C/z4vO+88rz6/P78+TzqPNb8xTy3/K58pnyf/Js8mbyaPJr8mPyUfI98jPyO/JT8nHyjfKj8rLyvPLA8sLyxfLN8tjy3fLV8rvylvJx8lXyQ/I28inyGfII8fnx6vHb8c3xwfG58bHxqvGl8afxtvHR8fHyD/Ij8i3yLvIr8ivyNPJQ8n7ytfLl8wjzJfNI83jzqvPI88XzsPOq89L0KfSU9Oj1DPUJ9Pr0+fUP9S/1TvVl9Xb1hfWP9ZP1kvWV9aP1uvXV9ev1/fYV9jb2W/Z29nv2afZQ9kb2WPaD9rj25/cK9yT3PPdV9233gfeN95b3ovey98P30PfS9873yvfR9+X4APga+C34OPg8+ED4Sfhc+H34r/jz+Ub5qPoW+o/7C/t/++H8Kvxd/IP8o/zC/OL9Bf0w/Wr9t/4W/of/CP+YADIA0QFwAgwCpQM4A70ELASDBMwFFQVoBcIGEwZPBnUGjwarBs4G8wcTByoHQAdcB4YHvgf9CD4Ifgi8CPkJOAl7CcQKEQpfCqgK6gsoC2gLrwv6DEYMjQzPDQwNSA2FDcMOBQ5ODp8O9A9GD5AP0hAVEF8QrhD6EToRaxGVEcER+BI3EnkSuBLzEy4TaROiE9cUBxQ2FGcUnRTXFRUVVRWVFdQWEBZJFn0WsBbkFxsXVReQF8cX9xgeGDwYUhhgGGYYZRheGFUYThhOGFIYWRhcGFsYWBhVGFIYTxhJGD8YMRghGBAYBBgCGAoYGhgiGBYX8hfAF5IXdBdiF00XJhbtFrEWiRaBFpQWsxbKFtAWxBarFowWaRZHFioWExX/FesV0hW0FY4VWxUWFMIUaBQbE+oT2BPfE/IUDxQ+FIkU7BVQFZYVoRVuFREUsRRyFGsUmxTsFT4VeBWTFZwVqhXJFfUWFxYgFhIV/hX3FgAWCxYFFeoVxRWoFZkVkRV/FV0VKhTyFLgUgRRLFBcT5xPAE6cTnxOsE8sT8RQTFCoUORRIFLUUyxTXFNEUvxSnFI8UchRJFBUT3xOyE5ETdhNcE0QTMxMnExcS+RLNEp4SeRJbEjgSCRHaEcIRzBHpEfwR9hHqEf0SRhKzExMTPhMuEwMS5RLnEv0TExMbExkTFRMUExYTGRMaExAS6RKUEhURhhETENkQ1xDxEQIQ/RDsEOUQ9hEUESoRJBEBEM4QmBBqEEgQNBA1EE4QfxDAEQQRQBFpEXkRbRFJERsQ9xDvEQQRKRFKEVkRVhFIETYRHxD9ENEQoRB1EFEQMRAPD+cPuw+PD2QPOg8SDuwOxg6bDmEODg2fDRsMkwwfC9ILsguyC7kLsAuNC1cLHAriCqIKUgnzCZMJRwkXCP0I5wjNCLIIoQieCJ4IlAh3CEsIHwf8B+UH2gfZB+EH7gf0B+kHxweTB1MHDQbFBoIGTwY6BkoGeAa1BvUHMgdxB7IH7wgbCC4IKwggCBwIIQgjCA8H3geTBzwG5AaEBg8FfQTVBC0DlgMKAnIBsgDE/8T+4P48/d39rf2K/V79Jvzr/Lj8j/xu/FP8O/wm/BL7+/vb+7L7gPtM+xr66/q7+oT6P/nt+Zf5SPkJ+Nf4rPh++Ev4Fvfi96/3efc/9wT2y/aX9mX2NPYC9dX1tPWh9Zf1jvV+9WH1OvUK9NX0nPRi9Cjz8fPA85zzhvN883LzXvM58wbyzvKX8l7yHvHT8YPxN/Dz8LjwgPBJ8BXv6O/A75nvb+9D7x7vB+8E7xrvTO+c8APwafCx8Mrwt/CR8HLwafB28I7wqPC+8MPwrvB78DXv9O/O78bvzO/S79Tv3+//8DLwZfCE8IbwcfBU8DbwF+/379jvu++a727vM+7x7rnume6O7ovuhO547m3uZO5T7i/t9+267Yvtce1d7Tbs8eyc7FrsT+yC7NztLe1I7RXsoewZ66vrc+te6zfqxOnq6Mbnmuas5h7l6eXp5fzmEOYi5jbmTOZh5nPmgOaJ5o3mj+aU5qPmv+bl5xPnTueg6BXopOkw6ZLpsemQ6UrpBuji6OjpEelK6YLpqem86cLpyOnY6fLqDuol6jjqUOp46q7q4usH6xjrJes/63PruOv/7DnsX+x47JDssuzk7Sftee3R7iXube6n7tPu9u8T7y7vTe9176bv3/Aa8FTwk/De8TfxmvH78lPyovLv8z7zjfPY9CD0aPS39Q/1afW/9hL2Y/a29wz3Yfe0+Ar4afjU+Ub5uPop+pz7FfuR/Ar8ePzc/T39o/4M/m/+w/8D/zH/Vf9z/4//rf/Q//wAMwBvAK4A6gEiAVgBigG5AeYCEAI5AmMCkwLLAwwDUwOcA+wETgTFBUsFzAY5BpIG6QdOB74IHQhQCFUIRghECGAIjAi0CNMI+Qk6CZEJ3gn/CegJswmICXwJjQmoCb4J0gnsCg0KLAo8CjwKOAo8CkoKWApZCkgKLgoYCg8KEgobCigKOQpSCnMKlQquCr0KzQrlCwkLLgtJC1cLaQuUC98MQgylDPQNJQ0sDP4MlAwAC3QLLgtFC5MLxAuTCvsKPgmxCYEJlAmoCYYJHwiIB9kHHAZQBXQElAPDAwoCbgH3Aa8BqAHmAl8C/gOrBFME6AVgBbYF6wYHBhQGGAYSBgEF5wXKBawFkAVxBVAFLQUMBOwEygSlBHsETAQaA+QDqgNwAzsDCgLbAqkCdAJAAhIB6AHBAZcBawE8AQ0A3ACuAIYAZgBLAC4ACP/b/6//h/9k/z3/D/7g/rb+lv58/mD+Qv4k/gz9+f3o/dj9y/3E/b79sP2Y/X39Z/1Y/UX9I/z1/Mb8mvxi/Av7m/tI+1X72fyf/Tv9TvzP/An7Zfsg+zb7dfu3++/8IvxP/Gj8YfxD/CL8CPvw+877n/t2+2f7fPun+9T79vwL/Bf8GfwS/AX7/Pv9/Aj8FPwZ/Bj8FfwV/Bb8FvwU/Bb8Ifwv/Dj8N/wu/Cf8Jvwp/Cr8K/wu/Dn8RvxN/Er8QPw8/EX8WPxs/Hv8iPya/Lb81/z0/Qn9E/0Y/Rn9GP0U/RD9Df0N/RD9E/0V/Rf9Gf0b/R79IP0i/ST9Jf0n/Sn9LP0x/TX9Nv0w/SX9GP0M/QT9APz7/PP85fzV/MX8uvy2/LX8t/y2/LH8qvyi/Jn8kPyJ/IL8evxu/F/8TPw3/CP8EPv9++z73PvQ+8j7v/u1+6j7nPuR+4b7eftp+1j7SPs7+y77HvsK+vH61vq5+pv6fPpf+kj6NPog+gf56fnJ+av5jvly+VT5NfkY+P/45/jP+Lf4nviF+Gz4Ufg3+B74CPf199/3x/et95b3hPd192T3Tvc19x33Cfb19uD2yPav9pj2gPZm9kj2KfYO9ff15PXP9bX1m/WD9XD1X/VK9TD1FfT99On02PTD9Kr0kfR89G70YfRR9D30KPQb9BT0E/QQ9An0AfP78/nz/PP/9AL0A/QB8/3z+vP58/70B/QS9Br0IfQo9DP0PvRH9Ez0UPRZ9Gn0e/SG9Ir0jfSa9LH0xvTD9KH0bPRE9Ev0kPUJ9Zb2F/Zz9qX2u/bI9uD3CvdB93X3m/e098n35/gO+Df4V/hp+HL4fviS+K/4zfjm+Pn5BvkW+S/5VfmE+a/5yfnL+b35r/mu+b/53Pn++iH6R/pt+o/6pfqu+rb6yPrm+wf7Ivs0+0n7a/uV+7D7qvuJ+237ePuy+/v8H/v9+6D7N/r2+vD7Efsy+zz7Mfsm+yT7IvsN+t36n/pv+lv6W/pX+jT58fmf+VX5JfkN+QL49/jj+MP4l/hi+Cj37fe093z3RfcQ9t32qvZ39kP2EvXq9dL1zfXT9d/15fXh9dL1ufWY9XD1QfUJ9Mv0kvRz9H30rfTo9QL03PR69ALzqPOM86fz1PPr89jzovNh8yrzAvLi8sTyqPKV8o7ykPKO8oHyafJP8kHyRfJb8nrymfK18sfyzvLH8rbypfKg8qvyvvLL8sPypfJ98lfyO/Iq8h/yE/IF8fbx5/HY8czxxfHC8cDxv/HC8c/x6vIT8kDyaPKC8ovyh/J78nHydfKM8rXy5PMO8y3zSvNt85jzu/PE867zjfOF87H0DfR59M308/Ty9OX04/T09RH1L/VI9Vr1ZfVr9Wz1bfV29Yn1ofW39cv14PX89iD2QvZV9lX2SvZE9lL2dPah9sr25fbx9vX2/PcG9xP3HPch9yT3Kfcz9zz3PPcv9xn3BfcA9xD3L/dT93P3i/ef97X30vf4+Cz4bPi6+RH5cvna+kn6vvsw+5T74/wc/Eb8afyM/LL82v0F/Tb9cv2//iL+m/8p/8MAYgEBAaACPQLRA04DqgPlBBIESwSdBQQFaAW0BeUGCQYxBmQGmwbIBuUG+gcVB0MHhQfPCBgIWQiTCMwJCglPCZoJ6Qo1CnoKuQr2CzYLfAvHDBAMVAyUDNENEA1PDZIN2g4pDoAO2g8vD3oPvRAAEEoQmhDlESMRUxF9EawR5BIiEl0SlBLJEwETPhN6E7AT4hQTFEsUihTOFQ4VShWDFb4V+xY3Fm4WohbUFwkXQxeAF7oX7hgWGDQYRhhOGE0YRRg5GDAYLRgwGDUYOBg1GC4YKBgjGB4YFxgNGAMX+xf0F+0X5BfdF94X5hfsF+MXwReOF1oXNhchFw4W7ha+FooWaBZjFnUWixaVFokWbhZMFioWDBXzFd4V0RXIFcIVthWfFXYVOhTrFJEUNxPtE70TqxOwE8cT8BQsFH8U4BU7FXkVihVsFS0U5xS1FKkUyhUNFVgVlBWzFcAVyxXjFgIWGxYhFhwWHRYxFk8WYRZRFiMV6hXBFa4VpRWTFW8VPhULFNwUsxSKFF8UMRQBE9ITrROgE7ET3xQaFFAUehSZFIAUjRSYFJ0UnxShFKMUmRR7FEgUDBPTE6MTdRNEExUS8BLaEsoSsxKPEmMSOhIUEe8RyRGxEbQR0hHyEfwR8BHyEi0SqhM8E50ToBNVEvUSuxK4EtYS8xL/EwMTChMWEyMTLRM3Ez4TMxMAEpkSERGREUERKhE4EUgRSRE/ET4RTRFgEWERQBD9EKgQUhAFD8cPmg+FD44PtQ/2EEUQmBDiERYRKREbEPsQ4BDhEQARLhFVEWoRbRFqEWIRTREhEN4QkRBOEB8QAQ/oD8sPqQ+GD2cPSw8zDxwPBA7iDq0OWg3mDV4M1QxkDBoL+QvyC+sL0AubC1QLDgrPCpIKSwn4CaYJaglQCVMJYAlqCW8Jcgl1CXAJWAkrCPAItAiBCFcINQgZCAYH/gf8B/kH7gfXB7QHhwdRBxgG5gbDBrQGsga2BrkGvgbQBvIHHgdIB2AHZQdkB3AHkQe+B94H2wevB2oHHQbTBoMGIwWwBTYEwQRLA7sC8gHpAL3/pf7P/kj9/f3H/Yv9Qvzz/Kr8bfw8/Bj7/vvu++X73PvO+7f7lvtu+0H7E/rj+q/6cvoq+dv5jflF+QP4xPiD+EL4AvfF94v3UvcY9uL2s/aJ9mD2MvYB9dX1tPWk9Z/1m/WP9Xf1U/Uk9Ov0q/Rp9Cjz7vO985jzf/Nw82LzT/Mx8wzy5vLA8pbyYPIa8cbxbvEY8MfwffA98Avv5e/G76DvcO877w7u8e7o7vLvFe9a78bwTfDQ8TLxZPFt8V/xUPFK8VPxa/GN8avxsfGX8WbxMvES8QfxA/D28N7wxvC98MXwzvDI8KfwcfAw7/jv1u/U7/HwF/Aq8BXv3e+j74zvpO/S7+rvz++G7y3u3u6c7lbt/u2e7U3tHe0J7Pns1eyZ7F7sQuxV7IfssOyf7Dvrj+rN6jPp5unc6d/psekw6HDnpecB5pnmX+Y45hXl+OXx5gfmNeZu5qTmzubl5ubm1ea85qrmp+az5srm7ucn533n7ehg6Lzo8Oj/6Pvo+ekE6R3pP+lk6Yjppum56cLpxunN6d3p8uoI6h3qNupX6n7qoeq46sXq1er46zHreuvB6/3sLOxR7HbsnuzP7QrtUu2i7fTuPu587q3u1u757xvvPu9l75Tvy/AJ8E7wnPD08VTxtfIS8mbytvMH81vzrfP59D/0g/TP9ST1gPXb9jT2jfbm90D3l/fr+EL4oPkH+XP53/pL+rz7NPuv/CP8ivzm/UL9pv4N/nD+w/8D/zX/Xf9//5v/uP/cAA0ASgCNAMwBBgE8AXEBpgHYAgQCKgJNAnUCpALdAx8DaQO5BBQEgAT+BYMGAQZrBsYHJAeTCAoIbAibCJQIdQhnCH8IswjqCRYJQgl9CccKAwoSCeoJowlmCU8JXAl1CYYJjAmRCZ4JswnICdcJ4QnrCfcKAQoDCfsJ8QnvCfoKEwowCkwKZAp8CpcKsgrICtgK6AsACyELQQtaC3ALlAvZDD0MqAz7DSkNNA0gDOEMYAueCswKOQodCmYKtQqkCgoJHwhFB8YHoQebB3QHFAaJBfAFWQTCBCkDlgMYArkCgAJuAokC1QNLA9kEbATxBWUFwwYLBjkGUAZWBlQGTAY+BicGCAXlBcEFnQV2BUsFIAT3BNIEqwSCBFUEIwPvA7YDewNCAwwC2QKkAmsCNAIGAeQBxwGlAXgBRAETAOcAvgCUAGoAQwAg////2v+z/43/bf9R/y3+/f7I/pr+e/5l/k7+Lv4N/fP94/3V/cX9sv2j/Zj9jP18/Wj9VP1C/Sj9AfzR/KP8e/xG++/7fPsi+yz7ufyT/UT9Y/ze/AP7Sfr3+wr7TfuQ+8X79vwk/EL8Qvwp/Ar79vvp+9T7rvuC+2T7Yvt3+5X7s/vN++X79/v++/j77Pvi++L76Pvw+/X7+Pv2++/75Pvc+9376Pv1+/r79fvs++j77Pvy+/b79/v7/Aj8F/wg/B78FfwS/Bv8LPw+/Ev8Wfxu/Iv8q/zD/ND81/zc/OP86fzs/O387Pzs/O387/zv/O/87/zv/PD88/z4/P39Av0H/Qz9Ev0Z/Rz9Gf0P/P/87/zj/N382/zZ/NP8x/y2/KT8mPyS/JD8j/yL/IT8evxw/Gb8XfxV/E78SPxA/DX8JvwV/AP78fvf+8v7uvus+6L7m/uS+4f7e/tv+2X7WPtJ+zf7JvsY+wv6+/rl+sz6sPqT+nX6Vvo5+iL6EPn++ej5zPmt+Y75cflU+Tb5Gfj++Of40fi6+J/4g/hm+En4LfgR9/j34/fQ9733pveO93f3ZPdT9z/3KPcN9vP23PbH9rD2mPZ/9mf2T/Y29hv1//Xn9dL1v/Wp9ZD1dfVd9Un1NvUh9Qf07PTW9Mb0uPSo9JH0ePRh9FH0RfQ39Cb0EvQC8/fz8fPs8+bz4PPa89jz2fPb89/z4vPj8+Lz3/Pe8+Tz7vP79AT0CPQM9BL0HfQn9C/0NfQ+9E30X/Rs9HL0d/SC9Jj0r/S09J30cvRN9En0efTX9VL1zvY39n/2qfbB9tb29Pcf9033c/eP96j3yff0+CP4Sfhg+Gv4c/iC+Jr4tfjP+OP49fkJ+ST5SPly+Zj5svm6+bb5sfm1+cX53vn8+h76RPpp+oT6jfqK+or6nfrA+uL68/rw+vD7CvtA+3T7gvtb+xn67vr8+z37gPuX+3H7Lvr7+vX7D/sr+zD7JPsf+zH7Uvtk+0/7FfrM+oz6W/ou+fL5qPld+SP5A/j3+PP47fje+Mb4ovhx+Db39/e+9433ZPc+9xj28PbD9pP2YvY19hP1/vX29ff1+/X69e/11PWo9W31KvTl9Kv0ivSO9Lv0/fUv9Sn02vRX89PzgPN085rzxfPT87jzhfNR8yvzEPL58uHyy/K78rXys/Kr8pnyfvJm8lryXfJu8obyoPK58tDy3fLZ8sLyovKK8oXyk/Km8qvynPJ88ljyO/Ip8h/yF/IN8gHx8/Hn8d/x3PHd8d/x5fHy8gzyM/Jl8pjywfLb8uLy2/LL8rvytfK/8tfy9vMX8znzZfOb89Lz9PPt88Pzk/OD86v0AfRk9LD00vTT9Mf0xPTO9OX0//UZ9S71O/VA9UH1RfVQ9WX1fvWX9bD1zPXs9gv2IPYo9ib2J/Y29lb2fPab9qj2pPaX9ov2hvaJ9o/2lPaW9pb2mfad9qD2mvaI9nH2YPZh9nn2ofbO9vb3F/c191X3fPet9+v4NPiJ+OP5QPmf+gL6bPrY+z/7lfvX/An8M/xe/Iv8uPzj/Q39PP16/dH+Qv7J/17/+ACTATABywJXAsIDAQMeAzQDYgO3BCYEkwTkBRoFRgV/BcwGHgZhBo0GqgbLBwAHSQecB+sILQhkCJkI1AkYCWUJtAoACkUKggq9CvoLPguHC9IMGwxfDKEM4g0kDWkNsw4EDlsOsw8HD1QPmw/jEDIQgxDPEQwRPRFpEZkR0BIJEj4SbxKhEtsTGhNYE48TwBP0FDMUehTCFQIVORVuFagV6RYrFmcWmhbIFvkXMRduF6sX4RgMGCkYOhg+GDcYKxggGBsYHBgiGCUYIRgXGAsYAxf9F/cX6xfaF8sXwxfCF8IXvhe2F68XqxeoF5sXfBdNFx4W+hbmFtcWwBadFncWXBZUFlcWWBZJFisWBhXmFc4VvRWsFZ0VkBWIFYMVeRViFTkU/hS1FGcUHxPnE8QTthO4E8kT5xQUFE8UkBTMFPcVCxUJFPYU2hTAFLcUyxT9FUEVgRWuFcQV0RXiFfkWDRYaFiYWPhZnFpMWphaLFkkV+xW+FZwVhxVuFUoVIhUCFOwU2hTEFKMUdhQ9E/sTvBOSE40TsBPsFCgUVBRvE/cT8hPzE/oUChQiFD8UUxRRFDUUCBPVE6ATZhMiEt4SqRKNEoISeBJiEkMSHxH9EdsRvBGuEboR2RHyEfIR4hHvEkQS4ROHE+UTzxNeEt8SkxKLEqoSxxLUEtoS6BL9Ew8TGRMjEzcTTBNKExkSuxJLEe4RuBGmEagRrxG8Ec8R4BHcEbMRYBDxEHsQDw+zD2cPKQ7/Du0O+w8qD3sP5xBgEM4RFxEvESERBxEAERYRPxFlEXwRghGAEXcRXREoENsQhBA4EAEP3A/BD6YPjQ96D2wPYQ9YD04PQg8tDwIOuA5LDcYNPAzBDGQMJwwEC+kLwguJC0QK/wrGCpYKZwoyCf0J2gnWCfEKHQpHCmMKbQplCkkKGgnbCZYJVgkfCO8IvwiKCFUIJQgCB+0H4wfbB88HuQeXB3IHUAc2ByQHFgcDBuwG1wbQBt4HAAcqB0oHVwdWB1YHZgeEB5wHkwdeBwgGqwZbBhoF3AWWBUsFBQTBBGUD0QLwAdMApv+a/sv+Of3P/Xj9J/zX/If8Ovv2+8T7qPuf+6T7rfuz+7T7rPuZ+3j7TPsa+ub6sfp5+jz5+fmx+WT5FfjE+HT4J/fe95j3VPcS9tf2pfZ89lP2J/X29cn1qPWU9Yn1gfV19WL1RvUe9Oj0pvRf9Bvz4vO285LzdPNX8znzG/L88uDyyfK18pzydPI28ebxjPEw8NrwjvBQ8CHv/e/Z76vvcu867xLvAu8G7xXvMe9m78TwSvDi8WzxzfH78f7x5vHF8avxpvG38dTx7fH08ezx4/Hm8fLx+vHw8c/xovFz8UnxIfD08L7wf/A98Abv8PAO8F3wvPD38OvwpfBb8EzwiPDk8RPw4fBQ75Hu2O477a/tIuyV7CDr3uvQ697r5evR66frf+tt63HrdOtP6ufqPel56NDobOhP6FjoWOgy5+3noudm5zvnEebc5qbmguaD5qnm5ecj51XndeeA53XnWOcz5xLm/+b65wDnDuco51TnkOfT6A7oPOhk6JLozekO6Urpeumd6bnp0unm6fTp++oB6gjqEOoZ6iPqMOpD6lzqduqN6qPqv+rn6xnrUOuE67Tr5uwb7FXsjuzE7PntM+117bzuAO477m3umu7H7vbvKO9e75nv2/Ao8Hzw2PE38ZXx7/JD8pXy6fNA85jz6vQz9HX0uPUE9Vv1ufYX9nH2yvcl94D32vgy+Ir45flF+aj6C/py+uD7VvvP/D78nvzz/Uf9n/35/kv+kf7N/wX/Pf9x/5z/wf/qAB4AXwCiAN0BEAFAAXQBrAHhAg4CNAJZAoQCtwLzAzcDhAPdBEMEtwU2BbcGMAacBvsHWwfDCC4Ihgi1CLoIrQiuCNAJCglFCXUJnwnOCgQKKwooCfQJpAlcCTYJMQk6CT8JOgk0CTcJRQlXCWgJdQmCCZEJpAm1CcMJ0AngCfkKHQpECmYKgQqWCq0KxgrgCvgLDgslC0ALVwtsC4YLuwwYDJINBQ1LDVgNPg0PDMEMLwtICjIJRwjcCPwJUgloCPYIFQciBnEGGAXuBbsFZQT3BIoEKgPXA4oDSQMeAxIDKgNkA70EMQSyBS4FkwXfBhgGRAZlBngGfQZ4BnAGZgZWBjsGFwXuBcMFlwVnBTMFAATSBKkEgQRXBCoD+QPDA4YDRwMKAtUCpAJyAjsCAwHVAbYBnQF8AU4BGQDoAMIAoAB6AEwAHv/3/9b/tP+Q/2v/TP8w/w7+4v6v/oT+Zv5Q/jf+Ff3z/dv9z/3E/bD9lv1+/W/9ZP1X/UT9Mf0i/Q/87Py4/H78SvwV+8v7afsb+yP7pPxy/R39Ovyz+9T7FvrH+ub7Nft8+6z70fv2/BT8GfwE++f70/vM+8P7rPuK+2v7W/tc+2b7dfuL+6j7x/vb++D72PvN+8f7yfvP+9b71/vS+8T7s/um+6T7rfu4+7r7tPuu+7D7vPvL+9T71/vb++X78fv5+/n79/v6/AX8Ffwj/C38OfxN/Gj8gfyT/Jv8ofyo/LP8vPzB/ML8wfzB/MT8x/zK/Mv8y/zK/Mj8yPzM/NL82vzj/Ov89Pz7/P78+fzt/Nz8zfzB/Lv8uvy5/LX8rPyd/Iv8e/xv/Gj8YfxY/E78RPw8/DX8Lfwk/Bz8GPwU/A78A/v1++j72/vN+7z7qPuW+4r7gPt3+2r7WvtM+z77Mfsi+xD6//rx+uP60vq9+qP6iPps+lD6NPoa+gT58/ni+c75tfmY+Xz5YflF+Sf5CPjs+NP4u/ii+IT4ZfhF+Cb4CPfq9873t/ek95L3f/dp91H3O/cl9w/29/bd9sP2rPaV9n32Y/ZK9jL2HPYG9fD12vXF9bH1nfWG9W31U/U79SX1EPT59N70wvSr9Jv0j/SC9HH0W/RG9DX0KPQd9BD0AfPw8+Lz1/PP88nzxPPA877zvPO787vzvvPB88PzxPPH89Dz3fPs8/Xz9/P38/z0CPQU9Bz0H/Qi9Cz0PPRM9FX0WfRe9Gv0fPSF9Hr0XvRB9Dn0V/Sd9QP1ePXq9kj2h/ao9rr2zfbs9xb3QPdl94T3qPfU+AP4LfhI+Ff4Yvhv+ID4lPip+MD42/j7+R75P/lc+XT5ifmZ+an5u/nQ+ej5/voT+ir6Rfph+nT6d/pt+mb6cfqM+qf6r/qi+pT6pPra+x/7Rfsv+uj6n/qG+qn65/sQ+wf62/q0+rL60Prx+vj66/rl+wP7Qft++5L7avsS+qj6Qvnn+Zb5TvkU+O743PjV+NL4zfjF+LX4mfhq+C737ve294v3avdN9y/3Dfbo9r72kvZn9kL2J/YY9hP2FPYR9f/11/WU9T/06fSl9IP0i/S59Pn1MfU99Qn0mfQR86HzbfN285zzt/Ox84zzXvM48x/zD/MA8vDy5PLc8tjy0fLD8q7yl/KI8oLyhvKO8pbyn/Kt8sLy1/Lg8tTytvKS8nnycfJ28nvyc/Jf8kXyL/Ii8h3yHPIZ8hPyC/IF8gPyBPIJ8hDyHPIy8lXyhPK38ufzC/Mi8yrzI/MR8vry5vLe8uPy9fMT80DzfvPG9AP0G/QD88rzlvOK87b0CPRd9JX0qPSh9JT0kPSZ9K30yPTk9Pz1DPUS9RL1FPUd9TD1SvVp9Yz1sPXS9en18/Xz9fX2A/Yg9kH2VvZX9kT2KPYS9gj2CfYR9hf2GvYa9hj2GPYY9hb2EPYF9fr1+vYK9iz2WPaD9qf2xfbk9wj3Nvdu97H4Afha+Lb5Eflo+b/6HfqB+ub7QfuM+8j7/Pwu/GP8lvzF/O79Gf1P/Zr9/f50/vn/hwAbALMBRwHGAh0CRgJSAmMClwL3A3AD3gQtBF4EjATOBSkFjgXmBiUGUwaABrwHCAdaB6cH6QgkCFwImgjeCSgJdAm+CgQKQwp/CrwK/wtIC5YL5AwvDHYMuQz8DUANig3aDi8OhQ7ZDykPdg/EEBUQZxCwEO4RIBFPEYERtxHsEh4STRKCEr4S/xM+E3UTpxPdFB4UZxSuFOwVIhVYFZYV3BYiFl4WkBa8FusXIhdeF5kXzRf2GBMYIxgnGCIYGBgQGA0YERgWGBcYDxgBF/EX5hffF9cXyhe3F6IXlBeOF4wXiReBF3YXahddF0sXLxcKFuMWxRaxFqMWkRZ5FmAWTBY+Fi8WFhXxFcUVnxWGFXoVchVnFVcVRhU5FS0VHRUCFNkUpBRpFDEUARPeE8oTwhPAE8ITyhPaE/UUGBQ+FGEUfRSTFKEUpBSdFJcUoRTKFQ4VXBWbFcEV0hXdFe0V/xYRFiUWRBZwFpwWrRaRFk0V+hWzFYMVYhVCFSAVBhT9FQIVCRUEFO0UxBSJFEAT8hOxE5ETmRO8E+MT+hP9E4cTdxNyE3gTiROlE8kT6xP7E/QT2hO0E4MTQxL2EqYSZxJGEj4SPRIzEh4SBRHrEdARtxGqEbIRyxHgEeAR1BHlEjsS0hNwE8YTqxM7Er4SchJpEoISmxKkEqoSuhLSEucS8hL9ExgTQhNmE2oTQBLyEpkSThIeEg8SHhJEEm8SgxJpEhgRmxEKEH8QBQ+cD0EO8A6sDnoOZQ56DsUPRg/uEJgRGhFdEWMRTBE8EUQRYBF9EYoRiBF7EWoRTxEmEO8QsBBzED0QDA/fD7YPmg+KD4MPfg94D3EPbA9iD0QPBw6pDjENrQ0rDLcMWQwVC+ULvAuNC1MLFwrnCskKugquCqIKmwqpCtALCQtAC2ELYAs+CwIKugpxCi8J+AnJCZoJYgkeCM4IfQg2CAQH6AfbB9IHxAevB5gHhAd0B2UHVAdABysHHAcbBzEHYAehB+IIDAgWCAcH8wfmB9cHrwdbBuEGWQXeBX0FLgTnBKkEfwRrBFwEKQOvAt8BzACb/3b+fv3B/T384vyY/En78vud+1/7RftL+2P7f/uY+637vPu++637hvtR+xn66Pq9+pP6Yfok+dv5iPkx+Nn4hPgy9+D3j/c+9vT2tfaA9lH2IPXu9b71lvV49WL1T/U89Sn1E/T19Mf0i/RI9Avz2vO185Xzb/ND8xPy5vLA8qbylvKL8nvyW/Im8d7xjfE68O/wrvB38EnwH+/v77fveO9C7yPvH+8v70fvZe+S7+DwVPDe8WPxxfH08e/xw/GD8UfxI/Eg8TjxXfGD8abxyvHy8hnyNvJA8jTyF/Ht8bzxiPFY8TTxF/D78N/w0/Dv8Tjxj/G68Y/xG/Ce8GXwiPDX8Pjwp+/g7tjt0+z07DvrlOr96obqReo86lPqaeph6jrqAunR6bTppemP6Vjo9uh45/7nrOeL55DnoOep56XnnOeP53nnVOcn5wXnAucm52LnnufJ597n4ufb58vnsueU53nnZ+de51jnVOdU52DnfOei583n++gw6Hboyukk6XXpsuna6fXqCOoY6iTqLOov6jHqMOot6irqLOo06kTqWup16pPqturc6wLrJetG62vrnevd7CXsauyk7NTtAu037XPtse3q7hvuS+6C7sTvEe9m777wGPB18NPxMfGK8d7yL/KB8tnzN/OY8/T0RPSJ9Mr1EPVg9bv2GvZ29s/3Jfd+99j4MfiH+Nz5M/mN+en6SPqs+xj7jvwE/G/8yP0S/Vb9mv3a/hP+Rv59/sL/E/9j/6b/1wAEADgAdgC2AO0BGQFEAXUBrAHgAgsCMQJZAooCxAMEA0sDnQP/BHIE7wVwBfAGawbdB0MHnQfuCDgIdgiiCLwIzgjpCRgJVwmZCdQKBgoyClMKXAo8CfUJmQlHCRII/Aj4CPgI+Aj8CQcJGQktCT0JSQlXCWsJiAmoCccJ4Qn6ChYKOgpiCoUKoAqzCsYK3wr8CxcLLgtDC1kLcAuHC6kL5wxLDMoNPQ1+DYANVw0cDMkMNQs/Cf4IyggFB9YIBwgpB+kHQAZsBbgFPwTuBKEESgP1A7UDkQODA4EDjgOvA+gENQSSBPkFZAXJBhkGUAZvBoMGlAagBqMGmgaJBngGaAZTBjUGDQXhBbQFgwVMBRIE2gSqBIAEVwQrA/wDygOTA1UDEgLTAp4CdAJKAhgB4AGvAYsBcAFRASUA8wDGAKEAfwBWACX/9f/Q/7P/l/9z/0r/J/8I/un+wv6W/m/+U/48/iH9/f3d/cn9wf23/aD9f/1j/VL9R/0z/Rf9APz3/PP83fyp/GL8IPvr+7P7a/sq+yX7iPw4/Nb8+vyA+6v67/qh+sT7G/to+5X7svvR+/D7/fvv+9H7t/up+6P7mPuF+3H7YftW+0/7TvtZ+3H7kPuq+7n7vPu6+7r7vfu/+7/7uvuw+6H7j/uC+377gvuJ+4z7ifuI+5D7ofu1+8P7yfvN+9L71/vb+9374fvr+/n8BvwO/BT8Hfwu/EP8Vvxi/Gv8dfyB/I38lPyU/JH8jvyQ/JX8nPyi/Kf8qfyn/KP8oPyg/Kb8r/y5/MP8zPzT/Nb80vzJ/L78s/yq/KP8nfyY/JP8i/x+/Gz8WvxK/D38Mvwm/Br8EvwO/Av8BvwA+/n79vv0+/D75/vb+9D7yPu++6/7mvuE+3L7ZftZ+0r7OPsm+xj7C/r9+u363frN+r/6rvqY+n/6ZPpI+i36Evn5+eX51fnG+bP5nPmD+Wr5Uvk5+Rr4+fjY+Lr4nviA+F/4Pvge9//34ffD96X3i/d292X3VfdB9yn3EPb29tz2w/aq9pH2efZh9kn2MfYa9gT18fXf9c31uvWl9Y/1ePVh9Ur1MvUb9QT07fTV9Lz0ofSK9Hb0aPRc9E70PfQr9Br0DfQE8/rz7/Ph89Lzw/O386/zqvOp86fzpPOg857znvOh86XzqfOw87vzzPPb8+Pz4/Pi8+fz9PQC9An0B/QC9Ab0FfQo9DX0OPQ39Dn0QfRH9ET0NPQj9CD0OPRv9MH1KPWW9fv2SPZ59pP2qfbG9u33F/c99133f/en99T3/vge+DT4RfhU+GP4bvh7+JD4svje+Qn5Kvk++Uz5XPl1+Zb5vPng+f76E/og+in6NPpC+k/6VPpN+kL6PvpG+lT6WvpT+kn6Ufp4+rH62vrY+qj6bPpO+mD6kPq1+rH6i/pm+mX6iPqz+sf6wPq4+tH7FPtk+5P7f/sn+qb6H/mn+Uf5AfjT+Ln4rPil+KD4nvic+JT4e/hQ+Bb32/eq94X3Z/dK9yv3Cfbl9r/2l/Zy9lX2QfY29i/2JvYU9fD1s/Vd9Pz0qPR59Hn0o/Te9Q71GfTx9Jf0IvO283LzY/N585Pzl/OA81vzOvMm8xnzDvMA8vXy8PLw8u/y5/LY8sfyufKy8rDyrvKo8p7ylvKX8qbyv/LX8t7yzvKr8oPyY/JP8kPyOPIq8hnyDPIH8gvyFPIe8iPyJfIn8ivyMvI78kbyVvJx8pjyx/L38x/zPPNP81fzUfM98x/zAPLt8u3zAPMn817zofPk9A70DfPh86Xzf/OM88v0HvRg9H30dvRf9E30SfRV9G30jPSt9Mr03PTj9OL04fTm9PX1DvUw9Vf1f/We9bH1t/W89cv15vYE9hT2CvXn9br1mPWL9ZT1qPW79cX1x/XD9b/1vPW69bj1tvW09bf1xvXj9gn2MvZW9nP2j/av9tn3DPdI94z32vgv+If43Pks+Xv50Pot+o/67Ps9+4L7vvv4/DP8bPyh/NL9AP00/XT9xP4k/pT/Ef+ZACcArwEfAWcBiQGbAb0CCAJ7AvwDagOyA94EBwREBJoE/wVfBbAF9QY3Bn0GxwcRB1YHmAfYCBoIXgikCOsJMQl3Cb0KAgpFCocKzAsWC2QLtAwCDEwMkQzTDRcNYA2vDgQOWw6yDwUPVg+lD/UQQhCJEMYQ/BEuEWERlRHKEfwSLxJnEqYS6BMnE14TkhPJFAoUUBSVFNMVDRVJFYwV0xYXFlAWgRavFuAXGBdRF4cXthfbF/cYChgTGBIYCxgDF/8X/xgCGAIX+xfsF9kXyBe7F7IXpxeXF4IXbhdfF1cXUhdMF0EXMRccFwQW6RbMFrAWmBaEFnIWYRZQFj0WKRYPFewVvxWLFVwVOxUsFScVIxUYFQcU9BTiFNAUuRSaFHIURxQdE/kT3RPLE8ITvRO4E60ToBOXE5sTrRPKE+oUCRQoFEIUVBRYFFcUYRSKFNUVMhWFFbsV0xXfFewV/xYTFiMWNRZOFmkWdhZkFjEV7BWqFXUVSRUgFP4U7BTyFQkVIRUpFRsU+BTFFIEUMxPoE7ITnBOgE6sTqhObE1oTUBNQE1gTZBN1E4sTohOvE6wTmRN6E08TExLGEnYSNhITEgkSBxH/Ee0R2RHIEbkRqhGdEZ4RrhHDEcsRyxHdEiASlhMVE2ATUxL/EpoSWhJMElsSaxJyEngSiRKjErwSzBLcEvgTIhNPE2kTYxM6EvgSsRJ5EmMSdRKmEtgS6RLCEmER2BFCEK8QKA+tDz8O2w6CDjYOAw38DjkOww+GEFcRARFkEYMRexFwEXURhBGPEYgRcRFUEToRJxEXEQYQ7xDPEKIQZxAmD+4PyA+zD6gPmw+ND4MPgA97D2UPMg7jDoAOEw2hDS8Mxwx0DDsMFQvwC78LhAtUC0ALSgtkC3wLjAudC7wL6gwYDC0MGAvZC4ILKgrjCq8KhQpcCioJ7AmjCVII/QitCGoINwgRB/QH2gfGB7cHrQehB44HdgdgB1IHUAddB4IHxwgsCJsI9QkcCQ0I3wisCHsIPQfXB0IGkAXfBUMEvgRMA+8DtwOvA84D8APnA4cCwQGhAFH/B/31/TL8tPxY+/r7jvsm+t/6zfrp+x37Uvt9+6L7wPvR+8v7qftz+zj7B/ri+sT6o/p4+j359fmi+Ur48vib+EP36PeK9y723faY9l72J/Xw9bv1i/Vk9UP1JvUK9PH02fS+9Jj0Z/Qx8/7z1vO285TzafM08vzyyvKj8onyePJr8lryPPIO8dHxi/FH8Qjwz/Ca8GbwMu/978bvkO9h70HvM+8170XvY++Y7+zwXPDU8TvxdvF48Ubw8vCV8EvwJ/Av8FnwlfDX8RnxWvGZ8c/x+fIW8ijyMPIo8g7x6vHR8dXx8/IW8ifyJPIe8iTyKvIH8Zbw3/Ae75jvbO9z71/u7+4c7RLsDus06obp9+l/6Sbo9ejp6PHo8+je6LDoc+g46A/oAOgB6APn9OfR56fnieeF55nntufN59fn0Oe555PnZ+dF5z/nXueY59Tn+ugD5/bn5OfU58nnvuey56jno+eh55vnj+eD54HnlOe75/LoL+hv6LbpBOlV6aPp4uoO6ifqMOow6izqKOom6ibqJOoi6iDqIOon6jTqSOph6n7qn+rB6uLq/+se60Prduu36/7sQOx27KHsyez57TLtb+2n7dnuDe5O7qXvEe+H7/rwY/DA8RTxYvGr8fPyQfKb8wXzd/Po9Ez0ofTr9TP1gvXY9jT2j/bn9z33lPfr+EH4kvjf+Sr5evnQ+iv6ivru+1r7zvxA/KX89f0w/WH9jf22/dv+A/49/pH++/9m/73/+gAoAFkAlADQAQMBKwFSAX8BsQHfAgQCJQJPAoYCxwMNA1gDsAQeBJ4FJgWsBi4GrQcmB48H3wgUCDoIXgiHCLII3QkICTsJfAnJChoKYgqVCqcKjwpLCecJfAkiCOcIzQjICM4I2wjuCQcJIwk9CVMJZQl4CZEJsQnWCfkKFQosCkYKZwqNCrEKygrcCu0LAwscCzILQwtTC2sLjgu3C+YMIwx5DOUNTQ2QDZ8NhA1SDQYMfwuXClMI9gffB0cHHwccBvAGgAXmBU0EzARfA/4DrAN3A20DiAO7A/oERQScBPwFXAWzBgAGQgZ4Bp4Gsga8BsQGzgbTBswGtQaVBnYGWgY9BhoF8gXIBZwFagUwBPMEugSJBF4ELwP6A8IDjQNaAyMC5gKpAnUCTQInAfkBwwGOAWcBSwEvAQoA3ACvAIcAXwAx//3/zv+s/5T/ef9U/yn/BP7o/s3+qv6B/lv+P/4p/g396/3N/bz9t/2s/ZH9bf1Q/UL9Nf0b/PP80vzK/NH8yfyZ/E38BvvY+7X7gvtH+zT7gPwl/ND9EPyw+977D/qi+qz6+ftH+3b7k/uz+9f77fvp+877rfuV+4f7f/t2+237ZPtZ+0z7QftA+037Y/t4+4n7lfuh+637tvu1+6z7n/uU+4n7fvtz+2z7avtt+3H7dft7+4X7lPul+7L7vPvC+8b7yPvJ+8r70Pvc++j78Pv0+/b7/vwM/Bv8J/ww/Dr8SPxZ/Gf8bPxq/GX8ZPxm/Gz8cvx4/H38gPyA/Hz8efx4/H38hfyO/Jj8ovyr/K78rfyo/KL8nfyW/Iz8f/x0/Gv8YvxV/EP8MPwg/BP8CPv9+/L76/vq++z76/vo++T74vvh+9370vvD+7j7sfuq+5z7hPtp+1L7Qvs1+yb7FPsB+vP66Prc+sz6u/qr+pz6jfp5+mD6Rfop+g358fnY+cP5tPml+ZP5ffll+U/5Ovki+QX44vi++Jz4fPhb+Dn4F/f399r3vveh94T3afdV90T3NPci9wr27vbR9rX2mvaA9mf2TvY29h/2CvX39eX10/XB9a71mfWC9Wn1UPU59ST1D/T59OD0yPSy9J30ifRz9F70S/Q89C70IfQS9ALz9PPp8+Hz2PPN88DzsPOh85bzkPON84zzivOH84XzhPOH84rzjvOV86HzsfPA88fzxvPE88jz1PPi8+fz4vPb893z7PQD9BT0GPQT9A70DvQQ9A30AvP48/v0E/RD9If03fU+9aT2AfZL9oD2pfbE9uP3APcZ9zH3Tfdz96D3y/fu+An4IPgz+ED4R/hM+Fr4efim+Nb4+vkR+SH5NvlW+X75p/nM+ev6AvoO+hD6DPoL+hD6F/oX+g35/Pnv+e/5+foF+g/6Gfoq+kL6V/pa+kf6Lvon+kD6b/qR+o76aPpC+j36Zfqi+s/63frd+uz7Hftc+4L7bPsU+o/6APmA+R342Pir+JD4f/hz+G34bPht+Gb4Tvgi9+33u/eW93r3YPdC9x72+fbS9qr2g/Zi9k32QvY79i/2GPX09cD1e/Up9Nf0nPSK9KH0zPTu9Oz0vfRq9Afzq/Ns81PzWvNr83HzYfNE8yvzH/Me8xzzEfMB8vTy8vL08vby8vLp8uLy3fLY8s/ywPKt8pvyjvKL8pXyrPLJ8t3y3fLE8pjyZfI58hnyBfH38e7x6PHr8fjyDvIl8jfyQvJJ8lHyWvJl8nLyg/Ke8sXy8vMc8zvzUPNb817zVPM98xvy/vLy8wDzJPNU84nzu/Pe8+XzyfOV82nzZPOU8+b0NfRh9F/0P/Qc9Ab0BPQT9C70UvR49Jn0rvS29LX0s/S19MD01fT09Rn1PfVZ9Wr1d/WI9aX1xPXX9c31o/Vm9TD1FPUa9Tf1XPV49Yb1iPWF9YH1gPWA9YL1g/WH9ZL1p/XG9ev2EPYx9k/2cPaZ9sr3Avc+93z3wPgJ+FT4oPjp+TP5hPne+jz6mfrt+zj7e/u8+/v8Ovx2/K784/0Y/VD9kv3f/jv+p/8g/50AEwBzALYA4gENAU8BtAIzArMDGgNgA4wDswPoBC4EgQTaBTQFjwXpBj8GjAbQBw4HTQeRB9oIJAhsCLAI8gk2CX0JxwoSClwKpQrwCzwLigvXDCEMaAytDPINOw2JDd4ONQ6NDuIPMw+AD8wQFRBcEJsQ1REJETwRbxGkEdkSERJMEosSzBMKE0MTeROxE/AUNBR6FL4VARVEFYkVzRYLFkEWchakFtgXEBdHF3kXpBfJF+YX+xgFGAYX/hfyF+gX5BflF+cX5RfYF8IXqReTF4YXfRdzF2MXThc6Fy0XJhciFxcXARbkFsUWqhaWFoUWdRZjFlAWPhYsFhcV+BXMFZQVVxUgFPgU4xTbFNgU0RTFFLUUpRSVFIIUaBRHFCQUAxPoE9ITwBOzE6wTqROkE5YTgRNtE2YTbhOCE5cTqxO/E9cT7hP/FAoUGxRHFJcU/hViFagVzBXdFe0WAhYVFh0WHRYeFiYWLhYoFgoV2RWfFWcVMhUCFN4U0BTeFP8VHhUsFSIVBBTYFJ4UWRQPE88TpxOUE4sTfxNsE1wTWhNiE2wTchN0E3UTdhN0E2kTVRM3ExAS3RKdElgSHxH+EfIR7RHfEcgRshGmEaMRoBGYEZMRmBGnEbgRxRHbEgsSXBK5EvoTAhLREooSURI4EjcSPhJEEk0SXRJ0Eo4SphK+EtkS9xMUEycTLBMeEv8S1BKsEpgSoxLGEugS7BLCEm4R+xF3EOkQVA/CDz8O0A5xDhsN1A21Dd0OXQ8jD/wQtREsEWQReBGCEY4RlRGKEWwRQREYEPsQ7xDuEPMQ8xDkEL8QhhBHEBEP7g/YD8UPrA+TD4MPfg94D2EPLw7pDp8OWA4SDcYNdQ0tDPkM1wy3DIgMSgwVDAEMFgxDDG0MggyGDIwMnQyyDLIMiAw0C84Lcws2CxEK8grECoQKOwn1CbgJgQlJCQ0IywiICE0IIggNCAoIDAgEB+wHygevB6MHpQezB9MIFQiECQ8JjQnSCc0JlQlPCRAIzwhvB94HJAZaBZgE5wREA7UDSwMXAx8DUQOEA4YDKwJhATn/5f6i/Z382/xD+7L7HvqZ+kf6O/pt+sD7FPta+5H7u/vR+877rvt8+0X7F/r2+t/6yfqu+oX6Svn++aX5Sfju+JP4NffQ92n3Cva39nP2N/X99cT1kPVk9UD1HvT99Nv0uvSZ9Hb0TvQi8/jz0/Ov84fzWPMj8vLyyvKt8pjyhfJw8lbyNfIL8djxnvFk8Snw7fCv8G/wNPAB79fvse+J717vM+8S7wvvKu917+TwYvDP8QzxB/C+8Ebvv+9O7xDvEe9G75vv+fBV8K7xBfFX8Zvxz/H38hnyNfJD8jryI/Ia8jryh/Lj8yPzLfMD8rnyV/HN8Q3wG+8h7lTtzO117RzsmOvj6xnqXOnA6UPo3eiM6FHoLegX6APn6OfD55bnZuc55xfnCucT5yznSOdc52rnfOec58rn/egl6DjoMegS5+bnu+ej56nnyefx6AvoCefu58rnreee55znn+el56/nvOfI58vnw+e157Dnwufv6DLofejE6QXpQumA6cHp/uos6kTqReo26iHqD+oG6gbqDOoT6hrqIuoq6jbqRepY6m7qiOql6sXq6usU60Tre+u26/PsKuxZ7IPsrezg7RvtWu2U7cnuAe5N7rbvNu+78DDwjPDQ8QfxPfF38bryDvJ38vXzffQB9HX02fUz9Y716fZE9pr26/c895L37vhJ+J345vkm+Wf5sPoE+l/6vfse+4f79vxj/MD9A/0u/Uz9af2K/a/93P4e/nz+8v9r/84AFQBHAHkAsQDqARoBPwFiAYwBuwHmAgYCJQJPAooC0gMdA2wDyQQ+BMcFVgXdBlwG1wdNB7QH+wghCDYIUwiDCL8I+QkqCVgJlAnlCkMKmQrQCtUKpApFCc4JWgkACMsIuQi9CM0I4gj6CRcJOAlZCXgJlAmuCcoJ6AoICiUKPQpSCmoKigqwCtUK8AsECxYLLAtDC1ILWQtkC4ALtAvzDC8MZgyjDPENSg2WDb4NvA2cDV4M7AwmCwEJoQhRB1IGuAZkBiEFywVbBN4EYgPzA5wDbgN1A68ECwR0BNwFQwWoBggGWAaRBrcGzwbgBusG7wbwBvQG+Ab2BuQGwQaXBm4GSQYkBf0F0wWrBYEFTwUVBNYEnQRuBEEECwPKA4gDUAMjAvkCxwKPAlsCLwIHAdoBpgFzAU0BMgEYAPUAyQCaAG4AQwAT/+D/s/+R/3b/V/8u/wX+5f7Q/rr+mf5u/kX+Kf4U/fv92/29/az9pP2X/Xr9VP03/Sz9Iv0I/Nz8tfyp/K/8qPx6/DD77/vM+7j7kvtc+037pfxp/UH9q/1d/Hn7d/rO+qn63/sp+137fPua+7z71vva+8b7qPuL+3b7aPtf+1v7WftU+0n7Pfs4+zz7SftW+2H7bvuA+5T7ofuh+5X7h/t++3z7eftx+2b7XPta+1/7aftz+337hvuO+5j7ovur+7L7tfu2+7n7v/vI+8/70vvS+9b73/vt+/n8APwF/A38G/wu/Dz8Q/xE/ET8RvxK/Ez8TfxO/FD8VPxW/FX8VPxU/Ff8XPxk/G78evyF/Iv8jPyJ/Ib8gfx5/Gv8WfxJ/Dz8M/wm/BT8Avvz++v75vvg+9j70vvS+9X71/vU+9H7zvvL+8T7t/uo+5z7lvuQ+4L7aPtJ+y/7HvsS+wT68/ri+tT6yPq7+qv6mPqI+nn6a/pZ+kL6KPoN+fH51fm7+ab5lvmH+XX5X/lI+TH5HPkE+Of4xfih+H/4X/g/+B33+/fb97/3pPeK92/3V/dB9y/3HPcH9u720vaz9pb2e/Zh9kf2LfYU9f/17fXe9c31ufWj9Yv1cvVY9T31I/UN9Pr06PTS9Ln0n/SL9Hv0bfRc9Ej0MvQf9BD0A/P18+bz2PPM88PzufOv86LzlPOF83nzcPNs82vza/Nq82nzavNs82/zc/N584PzkvOh86rzqvOo86nzsvO788DzvPO487zzzvPm8/bz+vPz8+vz6fPn89/z0PPB88Dz1vQD9ED0jPTn9VL1xfYu9n/2s/bO9tv24/bu9v/3HPdG93b3pPfJ9+P39/gJ+Bb4G/gd+CX4Pfhk+JH4uPjY+PT5FPk4+Vz5e/mV+a75yPnb+eD51vnH+b/5wvnI+cL5r/mY+Y75nfm9+eD5+foH+hD6GPod+hz6Gvoi+j/6afqH+oP6Xvo1+i/6X/qy+wP7NftK+1f7b/uL+477Xvr5+nP56flz+Rj41vim+IP4afhW+Er4RPhA+DT4F/fq97n3kvd492b3Uvc19xH26vbC9pj2bvZL9jX2KPYc9gX14/W49Yj1U/Ua9OT0w/S+9M/03vTR9Jz0SfPu86HzbPNT807zUvNR80PzKfMR8wbzC/MX8xvzE/MD8vby8vLz8vXy9vL48vvy+/Lx8tvyv/Kl8pXyjvKQ8pfyp/K98tTy3fLP8qXyavIu8gDx5/He8d/x5fHw8gXyI/JE8l7ybPJx8nPyePKA8ovymvK08tjzAfMm8z3zRvNE8zvzKvMQ8vXy5/Lz8xfzR/Nz85LzoPOd84nzZ/NG8z3zX/On8/z0OfRI9C/0BPPh89Dz0vPh8/v0H/RH9Gv0gvSK9If0gvSA9Ib0lvSy9NX0+fUY9TD1RfVe9Xr1jPWF9V/1IfTh9LT0qfS99OP1DPUs9T/1R/VK9Uz1T/VT9Vf1XPVj9XD1hvWj9cb16fYN9jH2WvaK9sD2+Pcx92v3pvfl+Cb4Z/iq+PH5PvmT+e36R/qc+uv7NPt6+7/8A/xF/IX8wPz2/Sz9Z/2r/f3+XP7D/yz/jv/hACgAagC2ARUBhwICAnICzgMSA0gDeQOtA+UEIwRsBMMFJwWSBfcGTQaUBtMHEwdXB6AH6ggxCHYIugj/CUcJkwnhCi8KfArGCxALWwumC/IMPAyFDM4NGA1mDbcOCw5hDrQPBA9RD5sP5BArEG4QqxDhERQRSBF9EbUR8BIsEmoSqRLnEyITWxOVE9MUFxRhFKwU9xU/FYMVxBX/FjUWaRacFs8XBBc3F2gXlRe9F9wX8Bf3F/MX5xfYF8wXxxfJF84XzhfEF64XkBd1F2MXWRdRF0QXLxcYFwcW/hb3FukWzhaqFocWbhZjFl8WWRZOFj0WKRYRFe8VvhV+FTgU9xTIFKwUoRSdFJYUixR8FG4UZRRbFEwUNRQXE/kT3hPJE7QTnhOME4ATexN3E20TXRNOE0cTSxNSE1UTUxNVE2QTfhOZE64TxxP3FEoUvBUvFYcVuRXRFeIV9BYDFgUV/BXyFfIV+hX9Fe4VxxWRFVUVHRTtFM4UyRTeFQMVJBUvFSEVARTYFKcUbBQpE+kTuRObE4oTehNpE3YTbhNyE3oTehNvE14TTBM8EykTEBLyEtASqRJ7EkgSGhH+EfMR7hHfEcQRpxGYEZoRoRGgEZYRjBGQEaQRwRHlEhESSxKOEsUS2hLEEpESWRIwEh0SGhIfEiYSLxI9ElESaxKKEqcSvRLJEs4S0hLXEtgS0RLDErgSuRLCEsYSuRKVEl0SEhGtESkQiA/iD04O2Q55Dh4NyQ2VDacOFA7JD5YQRxDFERIRRBFnEXwRehFeETERAhDfEMoQwRC8ELcQrBCYEHgQTxAnEAkP9w/oD9APrQ+LD3QPaA9cDz4PCQ7LDpkOfA5oDk4OIg3vDcQNpg2LDWUNMg0EDPMNCQ02DV0NZw1VDTsNKg0hDQsM0wx3DBALuwuKC3ALUgsXCsIKaAojCf4J7QnaCbIJcAkgCNcIqQifCK8IwQi/CKUIgQhoCGIIZghmCGgIhQjVCVEJzgobChwJ5AmaCVoJIgjWCGIHxQcRBlkFoQTpBDMDjAMJArwCqgLFAuoC6QKUAdYAwP+C/k/9QvxZ+4T6vfoY+bP5ofnZ+kD6tfsg+3X7rfvF+777n/tz+0b7IvsH+vP65PrU+rn6i/pE+ej5g/ke+L74X/f795L3LfbT9on2SvYP9db1o/V59Vf1N/US9Oj0u/SQ9Gj0QfQY8/DzyPOg83TzRPMW8vHy2fLK8rvyo/KD8l/yOvIV8e7xwfGN8VPxEfDK8ILwP/AL7+TvxO+c72TvIe7n7tLu9u9T79TwUPCf8KLwT++47wHuWe3s7dHuB+5z7vPvb+/i8FPwzPFE8azx9vIm8kbyXvJp8mDySvJC8mPyt/Mh83LzgfNE8sfyHPFM8FnvSu457UHsdOvM6zfqqOog6anpRujy6KPoWegY5+fnw+ei53vnUOcm5wTm5+bL5rLmouak5rjm1+b35xXnN+dj553n3egV6DzoS+hF6DHoG+gP6A/oFugW6APn3uev54bnbudp53LnhOeb57Xn0efo5/Tn9Oft5+rn+Ogd6Ffomujb6RPpRul56bLp6uoa6jbqPOov6hrqCOoA6gTqEeoh6jDqOeo+6kPqTOpa6mvqgOqY6rfq4esW61HrjuvJ7AHsNOxk7JPsxOz87Trtee207evuKu5/7u/vcO/p8EPwePCW8LPw3PEV8WDxvfIv8rfzSvPb9F701fVG9bT2HPZ29sL3BvdQ96j4Dfhz+M35F/lW+Zb53vou+oP62Psv+4379Pxa/K/85/0E/Rb9L/1Y/Y39y/4W/nT+5P9a/8IAEgBRAIkAwwD5ASMBRAFmAZMByQH7AiICRQJxAq8C+gNJA5sD+QRsBPAFdgXxBmEGzwc7B5sH4QgKCCkIVgicCO4JNwluCZgJygoOClwKoQrFCrsKgAofCawJQAjwCMgIwwjTCOkI/gkTCSsJSQltCZAJsAnLCeMJ+woVCi4KRgpcCnUKlgq9CuQLBAsfCzgLVAttC3sLfwuHC6QL3AwjDGIMkgy9DPkNTA2kDeQN+Q3mDbMNWQy+C8kKhAkcB9QG2gYzBcIFXgTxBHkEBAOpA38DlAPnBGQE8QV0BeIGQAaQBtMHAQcaByEHIgcjByMHIQccBxYHDAb6Bt0GtQaKBmEGOgYQBeMFtAWIBV0FKwTxBLMEfQRQBCQD7AOnA2ADJgL+AtwCswJ/AkcCFgHrAcABkQFjAT0BIQEEAN0ArQB8AFAAKP///9P/qf+E/2H/Of8M/uT+yf66/qf+hP5W/i3+E/4C/ez9zP2q/ZT9if16/Vz9NP0X/Qv9Bfzw/Mr8pPyT/JD8gPxP/An7z/uy+5/7e/tP+1v74fzd/eT+Zv4N/QH7yfru+qf60Psc+1b7d/uP+6b7ufu9+7H7m/uC+2v7VftG+0D7QftC+z37Nfsv+zL7O/tF+0z7U/th+3P7g/uI+4H7ePtz+3b7eft1+2f7V/tO+077V/ti+2r7bvty+3f7fvuH+4/7lfua+6H7qfuw+7T7s/uz+7j7xPvT+9774/vl++r79fwE/BH8Gfwf/CX8Kvwu/C78K/wp/Cv8Mfw2/Df8Nvw0/DP8Nfw6/ET8Ufxg/Gn8bPxq/GX8XfxS/EH8Lvwd/BH8CPv8++v72PvL+8f7x/vG+8P7wPvA+8P7w/u++7b7rvun+537j/uC+3n7d/tz+2b7Tfsv+xT7A/r3+ur62vrJ+rr6q/qb+oj6dfpk+lX6R/o0+h76Bfnr+dP5uvmj+ZD5gfly+WH5S/kz+Rv5Bfjs+M74rfiL+Gv4TPgt+A337PfN97H3l/d992T3TPc09xz3A/bp9s72sfaV9nj2XvZE9iv2EPX29eH10fXD9bL1mvV+9WD1Q/Un9Qz08vTd9Mz0u/So9JD0ePRl9Fj0TfQ+9Cr0FPQA8/Dz4vPU88Xzt/Oq85/zk/OG83jza/Nf81TzTPNI80fzR/NH80fzSfNL80/zVPNb82Xzc/OD84/zlPOV85fzm/Oh86XzpPOk86zzvvPS893z2/PS88vzyvPI87vzofOF83nzifOz8/D0PPSa9Q71kfYM9mn2mvan9qT2pfa09tH2+vcr9173jPet98H3zPfV99735/fv9/r4Dvgt+FL4ePic+MD45vkL+Sj5O/lK+V75evmV+aH5mPmB+W75aflw+XP5avlZ+VD5XvmG+br57foY+jz6XPp0+nz6dfpt+m/6fvqH+nX6SPob+hb6T/q4+yj7e/um+7n7xvvH+6n7Wfrd+k/5zfln+R345fi3+JD4bvhS+Dv4Kvga+AP34fe094j3ZvdS90X3M/ca9vr21/az9ov2YfY79hv2APXj9cH1nvWA9Wn1UPUu9QT03vTI9Lz0p/R69DTz5vOn84HzbvNj81fzRvMz8x3zB/L38vPy+vMG8wzzCfMB8vny9/L48vvzAPMK8xLzEvMB8uDyu/Kf8pPykvKV8pfynPKp8rzyzPLH8qTyaPIm8fTx3fHf8e/yA/Ia8jbyWfJ98pbynfKW8ovyhfKF8ozymfKu8tDy9vMX8yjzJ/MZ8wTy7PLV8sjyzvLt8xvzRfNc81nzRvMt8xjzDPMP8y3zaPO08/f0F/QN8+nzw/Os86XzqvO188rz6/QT9Df0TfRQ9Ej0PPQ09Db0RvRk9I70vfTo9Qv1J/U79UP1NfUO9NL0k/Ri9E30U/Rs9Iz0rvTN9Oj0/PUK9RP1GfUe9ST1LPU49Un1YPV+9aD1xfXs9hX2QfZx9qP22PcP90j3g/fA9/34Ovh3+Ln5APlP+aP5+fpN+p766/s2+4D7yvwT/Fj8mPzS/Qr9RP2H/dX+LP6G/t//Mv+B/9EAKgCOAP0BbgHYAjICfwLFAwoDTAOIA7wD7QQmBHIE0gU+BacGBAZVBp4G5AcpB20HsQf2CDwIhQjOCRgJYwmwCf4KSgqUCt0LJQtvC7wMCwxaDKcM9A1ADY0N3Q4vDoEO0Q8fD2kPsQ/3EDoQeBCxEOcRHhFXEZERzBIIEkUShRLGEwUTQhN+E70UAhRPFJ4U6xUzFXYVthXzFi0WYhaSFsAW7hcfF1EXghesF8oX2xfeF9cXyhe+F7YXtBe2F7gXtBeoF5MXehdiF08XQhc1FyMXCxbxFtsWzRbCFrAWlBZvFk4WORY0FjgWORYyFiIWCRXmFbUVdRUsFOUUrRSLFHwUdhRwFGUUVRRFFDsUNhQzFCsUGxQCE+YTyROsE44TbxNTE0ATNRMuEyYTHBMVExYTGxMdExQTBBL6Ev8TEhMpEz4TWROQE/AUchT6FWYVqBXHFdUV3xXmFeQV3BXVFdoV5xXxFeYVxBWQFVYVIRT4FOEU4RT4FRkVMRU0FSAU/xTcFLcUihRRFBUT4xPDE68TnhOJE6cTjROCE4ATdxNhE0ETIBMEEuoSzRKuEpISeBJdEjwSGBH8EfAR7RHlEc0RrhGZEZcRoBGhEZMRfRF3EY0RvhH6EjQSahKcEsUS2BLKEpwSXhInEgUR+RH6EfwR+hH5Ef8SEhIyElMSaxJ3EnwShBKVEqsSvxLLEs8SzhLGErQSlxJ2ElQSKRHkEXIQ1hApD4sPCA6ZDi4NyQ2HDY0N6Q6FDzQPzhBEEJ4Q5xEfETkRLxEJENwQvBCxELIQrhCdEH4QWhA2EBcQAQ/0D+8P7A/hD8cPoA96D18PTQ86DxcO5A6yDpQOkw6fDqIOjQ5lDj0OIw4WDgoN+Q3pDecN+g4aDi8OKA4DDdENpA1/DVYNGQzEDGoMJAv8C+ULwAt3CxAKqAphCkcKSwpOCjcJ/wm2CXcJWwlnCYsJqQmqCZEJcwlnCXAJegluCU0JOAlRCZ4J/go9Cj4KCgnCCYIJTQkQCLoISQfGBzcGmgXsBSsEXgOVAuQCYQIeAhgCLQIoAdIBFAAB/sT9iPxm+2H6e/nB+UX5Gvk/+ab6MPrA+zn7iPuo+6D7gPtZ+zb7G/sD+vH64/ra+sz6rfpx+hj5rfk9+NT4cPgO96r3R/bs9p/2XfYi9ez1vPWU9XP1UvUr9Pv0x/ST9GP0NPQH89vzs/OO82bzPfMU8vXy4/LY8sjyqfJ+8k/yKvIR8fzx4fG58YXxSfEG8L7wdfAx7/Xvv++I70jvA+7L7rnu3u8z75rv5+/z76rvFe5R7Yzs9eyv7MbtLO297lTu4O9n7/rwo/FT8ezyVvKO8qTyq/Kq8qDyjfKA8o3yuvL28yHzF/LL8kDxhfCo77Luq+2g7J7rr+rW6hnpgukY6NjoseiM6FjoF+fX56Xnfudb5zPnCebl5snmseaW5nfmXuZW5mPmfeab5rbm0ebz5x/nUueF57Hn0ufm5+7n8Ofu5+fn2Oe955bnaudC5yrnI+cv50rnbeeV57rn2efw6ADoCugS6BvoKuhA6GDoh+ix6N7pDOk86W7poOnM6e7qAeoH6gTp/+n+6gjqG+oy6kPqSupH6kLqRepT6mjqgOqX6rTq3esV61jrnuvh7B/sWeyS7MntAu097Xrtt+3x7irubO7C7yzvmu/z8CXwNvA98FTwiPDT8SvxjfH88n3zC/Ob9CP0o/Ug9Zj2BfZe9qL23vcl94L38vhm+M75Jvly+bz6CPpV+p764vso+3j71vw1/IT8tPzI/NP87v0k/W/9wP4R/mf+yP8x/5n/9ABBAIQAwADyARgBNwFdAZQB2QIeAlcChgK4AvgDRAOWA+oERQSsBRsFiAXqBkUGogcGB2MHrQfjCBcIXgi/CSkJhQnGCfQKGwpFCmsKgwqCCmYKMAniCYcJMQjyCNcI3AjzCQwJIAkxCUcJYgmBCZ8JuAnMCeAJ+AoUCjIKUApsCokKqQrOCvQLFgs0C1MLdAuSC6gLsgu8C9QMAww9DHQMnwzJDQkNZA3KDhkOOg4vDggNxw1XDJYLdAoRCKsHgAamBgkFgQTzBGED6QOsA74EGQSpBUsF4gZeBrkG+wcrB0wHXgdgB1oHUgdOB0sHRAc3ByIHCAbmBr8GlgZvBksGJQX3BcMFjAVaBSwE+wTEBIoEVAQoA/8DzQOOA0wDFALrAsgCngJqAjEB/wHVAa4BhAFaATQBEgDuAMEAjQBbADIAEP/v/8r/o/99/1X/Kv76/tH+tv6k/o7+af49/hf+A/33/eP9wP2Z/Xz9bf1e/UH9G/z7/Oz85fzU/Lb8lvyC/HX8W/wn++X7sPuP+3D7RPsl+1b8Df0r/jb+nP4Y/Of7nfrC+ob6u/sT+1b7ffuU+6X7r/ut+6H7kPt9+2X7Svsz+yn7LPsx+zH7Kfsh+yP7Lfs5+0D7RPtM+1v7bft4+3n7c/tu+2/7cvty+2n7WvtL+0P7QvtG+0z7UvtX+1z7Yftl+2r7b/t4+4P7jvuX+5v7mvub+6D7qvu3+8L7yPvM+9H72Pvi++v79Pv7/AH8B/wJ/An8CPwM/BP8Hfwj/CP8IPwa/BX8E/wV/B38Kvw6/Eb8S/xJ/EP8Ovwu/B38C/v7+/H76fve+837uvus+6f7qPuq+6r7qvur+637qvuh+5T7hft5+2z7YPtW+1P7VPtU+0r7M/sX+v767Prf+tH6wfqw+p/6jvp7+mX6UfpA+jL6IvoN+fP52vnD+a/5nPmM+X35cPli+VD5Ofkh+Qn48vjZ+L34n/h/+GH4Qvgk+Ab36PfM97D3lfd692H3R/cr9w327vbP9rP2l/Z89mH2RvYt9hL19/Xc9cX1tPWl9ZL1d/VW9TX1FvT79OH0yPSy9KH0kfSB9G/0XPRL9D70MPQe9Anz9PPi89LzwvOy86Hzk/OF83jzaPNX80fzOvMx8yrzJfMj8yLzIvMg8x7zHfMf8yPzKvMy8zzzSPNX82Tzb/N283vzgfOF84jziPOL85PzovOv87TzrvOj85zznvOf85PzdvNS8z/zS/N287f0BvRl9Nj1WPXM9hr2N/Y19jP2SPZ49rb28fcj9073cfeK95b3mfea96H3sPfD99j37/gJ+CX4Q/hi+IL4pvjI+OP49vkF+Rn5NvlS+WL5W/lD+Sv5H/kk+TH5Ofk6+Tr5Rfll+Zn54Poz+ov62fsL+xT69/rK+qT6j/p8+lf6Hvns+ez6MPqn+yT7ffus+8P70vvS+6j7Rfqy+hf5l/lB+Qv44/i9+Jf4dPhT+DT4Fff299X3sPeH9173Pfcl9xT3APbn9sr2rPaP9nD2TfYp9gL11/Wq9YH1Z/Vi9Wj1Y/VB9QP0u/R/9FP0LvQC89DzpvOQ84vzh/N181bzM/MX8wXy+fLw8ury6fLt8vPy9vL48vry/vME8w3zGfMm8y/zK/MT8u3yxPKl8pXyjfKH8n7yefKB8pbyrfK08p3yavIs8frx5vHw8gzyLPJL8m3ykfKy8sXywfKr8o/yfPJ18nnyg/KY8rfy3PL88wvzBvLy8tjyv/Ku8qnyt/LU8vXzCfME8uvyzvK88r3yz/Lx8yLzYfOg88rz0/O785fze/Nw83HzdfN784vzqvPS8/X0BvQD8/Tz4/Pb897z8/QY9Ev0g/S49OL0/fUD9PL0xvSH9ET0EPP38/j0CPQd9DL0S/Rq9Iz0rfTF9NT02/Th9Oj09fUI9SD1PfVe9YD1pvXO9fj2JPZQ9n72r/bl9yD3Xfeb99b4EPhK+If4yPkQ+WD5s/oI+ln6p/ry+z/7jfvc/Cf8bfys/Oj9Jf1o/bP+Bf5Z/qz+/f9Q/6oADwB+AO4BVgGvAfsCQgKNAt0DKwNvA6UD1AQIBEwEogUCBWMFvwYWBmkGtwb/B0EHgAfBCAgIUwigCOwJOAmECdEKHQpmCqwK8ws8C4oL3AwwDIMM0g0eDWkNtg4FDlcOqQ73D0APhA/DEAEQPRB5ELYQ9BExEW4RqBHjEiASYxKoEu0TLxNuE68T9hREFJQU4BUmFWgVqRXpFiQWVxaDFqwW2BcJFzwXbBeSF6wXuhe+F7kXshesF6oXqxepF6EXkheAF20XXRdNFz0XKxcXFv8W4xbHFq0WmBaIFncWYBZEFigWFBYMFgoWCBX/FeoVyhWcFWEVHhTZFJ4UdBRdFFIUTRRHFDwULhQgFBYUEhQSFBEUCBP1E9cTshOLE2MTPxMhEwsS+RLoEtUSxhLAEsUSzhLSEsoSvRKzErIStxK9EsgS5xMvE6cUPxTWFU4VmRW/FdIV2xXfFdsV1RXTFdwV7BX2FfEV1hWtFX0VThUlFQcU+RT8FQgVDxUJFPgU5RTWFMgUrhSDFE8UIRQFE/YT5RPJE+MTtxOdE5ATfxNcEyoS+BLPEq8SkRJ2EmISWRJREj8SHhH5EeAR2BHVEckRsBGYEZARlBGTEYERYxFWEXERtxIREmQSohLMEuUS5xLNEpQSTBIKEeARzxHMEcoRwBG0Ea0RtRHLEeoSCBIhEjYSSxJlEoMSoxK/EtYS4BLXErgShxJTEicSAxHTEYURDhB9D+QPUA7CDjgNww1/DYYN2A5XDtwPUA+zEBEQbBC1ENcQzRCnEIQQehCKEKAQphCSEGYQMhAED+UP1g/TD9UP0Q/CD6cPhg9oD1IPQQ8qDwgO3Q65DqcOrQ68DsAOrA6GDl8OTA5RDmoOhQ6cDqsOuA7BDsAOqg5+DkEOAg3IDZANVA0QDM4Mmwx6DF4MLgvbC3ALCgrGCq0KsQq1CqEKcwo7ChQKEAovClwKfAp7CmIKSgpLCmIKdApjCi0J8wneCf4KOgpoCmcKOQn1CbEJcwkzCOoImAg/B9sHZQbVBikFYgSBA5ICrwH8AZYBdwFxAUQAvv/U/qj9aPw7+zP6UPmT+Qb4uPi3+QT5jfov+sb7MPtk+2f7T/su+w/68/rb+sj6vPq4+rT6pPp6+jH5zPla+Oj4ffgZ97n3W/cE9rb2cvY39gL10/Wp9YP1W/Uu9Pz0xvSR9Fv0JPPt877zmfN882HzQPMZ8vby3fLJ8rDyiPJT8iDx//H18fbx8PHZ8bXxi/Fb8SLw1/B88Brvve9t7ybu5+647qfuuu7p7xXvGe7c7l3ttO0E7HTsIewc7GTs4u167g/une807+fwufGS8kryw/L58wHy9fLo8tryx/Kw8pjyhPJv8k3yEfGz8TLwkO/S7v3uFu0k7C/rPepY6Y7o8+iR6GLoTug56BLn2+ek53bnVOc25xfm9+ba5r7mnOZx5kLmHOYM5hXmL+ZL5mTmeeaN5qPmuubR5ufm++cN5xznJucr5yjnG+cD5uXmyea45rbmxObg5wnnOuds55Xnrue858nn3ef66BvoNuhI6FLoXOhv6JDovOjt6R3pR+lr6YzpqunA6czpzenN6djp8eoS6i7qOeo06ivqLOo+6lzqfOqZ6rjq4esa62Hrruv67EHshezG7QXtQu1+7brt9+4x7mzurO7370rvme/Q7+nv8O//8CzwevDa8TzxnPIA8nLy8PNy8/D0aPTe9VL1vfYV9lv2nPbr91L3zvhP+Mb5LPmG+dj6Jvpt+qv64vsb+2H7tvwO/Fb8gPyP/Jj8tfzz/Uz9q/4D/lT+qP8G/2v/zQAkAG4ArADdAQIBIwFPAY8B4gI6AocCxwMCA0UDkgPmBDwElATtBUQFkgXZBiIGdwbZBzoHigfLCA8IZwjYCU8JtgoACjAKTwpgCmAKTQosCgQJ1gmgCWIJJQj5COkI9AkMCSUJOglPCWcJggmbCa8JwAnSCewKDwo3CmEKiQqsCswK6gsJCyYLQAtYC3ILkAuwC88L5gv5DBAMLwxWDH8MqgzgDTANmw4KDmAOhw6GDnAOTQ4EDWoMZgsPCacIcAeGBs4GHQVcBKEEHgP9BEME0gV9BhwGnQb8Bz8HageEB5AHkweMB4EHdAdoB1wHTgc6Bx0G+gbQBqQGegZSBiwGAwXSBZcFWwUkBPUEyQSYBGIEKwP7A88DoQNtAzUDAgLXAq4CgQJNAhgB6gHDAZ4BdwFNASUA/wDXAKgAdABEABz//P/d/7r/lf9x/0z/I/72/sz+rP6S/nX+UP4m/gf99v3s/dj9tP2L/Wr9Vf1D/Sj9Bvzo/Nf8y/y5/J78gfxs/Fn8O/wK+9H7oPt4+0v7GPsG+1T8Hf0q/fv+FP1Y/B/6/Ppd+lP6ovr/+0X7c/uW+7D7vPu2+6X7k/t/+2b7SPst+yH7JPss+y37IvsV+xH7Gfsm+zD7Nvs9+0z7Yftx+3b7bvth+1j7VvtZ+1r7VftL+z77NPsw+zH7OftC+0r7T/tQ+1H7VPtd+2n7dPt9+4L7hfuH+4r7kPuX+6D7qfuw+7f7vfvD+8v71Pvc++L75fvm++f77Pv1/AL8DvwU/BL8DPwE+/77+/v9/AL8DfwZ/CT8Kfwo/CP8G/wR/AP79Pvn+9z71PvI+7f7pfuV+4z7ivuK+4r7ivuM+4z7h/t8+2z7XPtO+0H7N/sx+zD7Mvsy+yn7Fvr8+uT60frB+rH6ofqQ+n/6bfpY+kH6Lfoe+hD5//no+c35s/md+Yz5fvlx+Wb5W/lL+Tb5HPkC+Or41Pi9+KT4ifhu+FL4Nvga+AH36ffR97b3mfd79173Qvcl9wT24vbC9qb2i/Zv9lP2NvYa9f714vXG9a31mfWI9XL1VfUy9RD08/Tb9MT0rPSW9IP0c/Rk9FX0R/Q69Cz0GvQF8+7z2fPI87fzpPOP83rzafNa80rzOPMl8xXzCvME8wDy/fL58vfy9PLv8uny5PLi8uTy6vLx8vjy/vMG8w/zGfMl8zDzOPM98z3zPPM980PzT/Na817zWPNP80vzUPNY81XzQvMp8x7zMvNk86nz9fRK9Kz1FfVw9aL1qfWg9a716vZL9rD2+vcj9zj3R/dW92D3Y/dj92v3fvea97b3z/fm9/z4Evgp+EH4Xfh9+J34u/jV+O75B/kc+Sf5IvkP+Pj46vjt+P/5Fvkp+TX5PflO+Xb5vPoh+pL69Pso+yD66fql+nL6WfpG+iL56vm/+cn6GvqW+wv7Uvtu+337lPui+4H7F/p0+cr5SPj9+Nn4v/ih+H/4YPhC+CD3+ffP96b3gfdd9zf3Evby9tj2v/ak9ob2afZQ9jr2JPYJ9eP1svV99VX1SPVX9Wz1aPUz9NT0aPQP89fzt/Of84zzgvOG847zi/Ny80nzIPMG8vry9PLt8uLy2/Lb8t/y5vLs8vTy//MQ8yPzOPNH803zQvMm8v7y1PKy8pfygfJr8ljyTvJV8m3yjfKi8p7yffJN8iPyDvIU8izySvJq8oryrfLK8tXyyPKn8oLyaPJe8mLyb/KG8qfyzvLu8vzy9PLc8sHyqfKa8pTylvKe8qTynvKK8nPyaPJy8o/ytfLf8wzzPPNo84HzfvNl80XzL/Mp8yvzLvMy80HzX/OE86PzsPOq85vzkPOQ853zt/Pe9A30P/Rq9Ir0mPST9Hb0RPQG88zzqPOe86jzufPJ89jz7/QQ9Df0XfR69Iz0mPSi9K/0w/Td9Pz1HfU+9WD1hPWs9df2BfYy9mD2kfbH9wH3O/d196335fgc+FX4k/jX+ST5dvnK+hv6Z/qy+v/7T/uh+/H8PPyC/MP9A/1G/Y392/4w/of+4P87/5oAAABqANIBMQGEAdACHQJuAsIDEANSA4gDuwP1BD0EjgTkBTgFiwXeBjIGgwbOBxIHUgeTB9oIJQhzCMEJDwleCawJ+ApACoUKygsTC2ILtwwODGUMuA0FDU8NmQ3mDjYOiA7XDx0PXA+VD84QCRBJEIwQzxEQEU0RhhG/Ef0SQRKLEtQTGhNdE6IT7BQ7FIwU2hUhFWQVpRXiFhkWSBZyFpwWzBcAFzEXWBd0F4gXlheeF6AXnhebF5sXmxeWF4cXbxdXF0UXOhcwFyEXCxbyFtgWvRahFoMWaBZUFkcWOxYqFhIV+BXiFdMVxxW4FZ8VeBVFFQkUzBSUFGYUQxQrFB0UGBQaFBwUGRQOFAAT9RPwE/AT6xPcE70TlRNpE0ETIRMKEvQS2RK3EpESdBJmEmgScBJ0EnMScBJxEnMScBJpEm4SmxL/E5QUOhTNFTkVfxWtFdAV6RX0FfIV6RXjFeUV7hX3FfcV7RXWFbQVhRVOFRUU5BTDFLEUpxShFJ8UpxS4FMcUxBSqFIAUWxRIFEEUNBQTFAwT1ROyE6ATiRNcExkS1hKmEogSdRJlEl4SZBJvEmsSShIUEeERxBG9EbkRqhGXEYsRihGEEW0RShE4EVYRpxIWEn4SyRLzEwIS9RLHEnwSJhHbEa4RnRGaEZcRjhGCEXgRdhF+EZERrRHQEfYSGBI3ElQScxKYEr0S1RLQEqISTxHpEYwRSREfEP4Q0RCGEBYPgw7ZDjINsA1zDYQNzg4rDoAOyQ8WD3YP4RA8EGwQbRBTED4QQhBcEHkQhxB6EFUQJg/6D9oPyQ/BD7gPqQ+TD3sPaQ9eD1cPTA82DxUO8Q7UDsUOww7HDsIOrg6ODnEOaA58DqoO4A8KDx0PGg8LDvUO2A6uDnMOLQ3mDaUNbg0+DRcM9wzaDLQMegwoC8oLdgs/CygLIQsYCv8K1wquCpgKoQrFCvILDwsLCvEK2grdCvULBgrxCrQKbApCCkkKbgqNCogKXAoYCcwJfgkwCOQInQhbCBYHxQdhBuUGSgWFBJEDgQKAAbwBRgEEALkALv9Q/jT9B/vx+wP6N/mF+O34gPhV+Hj45Pl6+hX6lPrk+wf7Bvrx+tL6tPqc+o/6ivqL+or6fvpf+ib50/ls+Pr4ivgi98T3a/cY9sn2g/ZH9hT15vW59Yr1V/Uj9O/0vfSL9Fb0G/Pe86nzhPNt81rzP/MY8u7yyfKq8ojyWvIi8fDx1vHX8eXx7PHi8c3xtvGf8XvxOfDU8Fvv5u+E7zbu9e6/7pzuke6W7pPubO4W7Z3tIOy87Ibshey17Q/thO4B7n7u/u+T8E3xJfH78qfzDvMv8yHzAPLc8rfyjPJU8g/xv/Fn8QvwrPBK7+DvZ+7X7i3tbOyZ673q3+oL6VDovuhd6CboCufz59bnsueO52/nVec65x/nBebs5s3mo+Zr5jDmAuXr5e3l/OYP5iHmMeZB5k3mUuZS5k3mSuZK5k/mWOZi5mrmauZg5lHmRuZE5k/mZeaG5rHm4+cS5zXnSOdQ51vndueh59Pn/egW6CDoKOg66F7ok+jM6QDpKelI6WTpfumQ6ZLphel36XnplunG6fbqE+ob6hnqHuoz6lPqeOqc6sLq8Osr63Lrv+wM7Fbsnuzj7SbtZu2k7ePuI+5i7p/u2O8P70Tvcu+V767vy+/88EnwrfEW8Xnx1fIz8pvzC/N68+L0RPSo9RD1dvXT9iT2dvbW90331fhd+Nj5QPmX+eX6Lfpv+qv64vsc+177qvv1/DL8Vfxh/Gr8h/zF/SH9h/3n/jz+jv7m/0b/pwAAAE8AkgDJAPMBGQFGAYUB2QI5ApUC5wMvA3YDwwQVBGsEwQUSBVkFlAXLBgwGYgbIBy0HgQfHCBAIbQjfCVMJsgn0Ch0KMgo2CicKBgnbCbEJigliCTcJEAj5CPgJCAkfCTYJTAlmCYQJoAm0CcMJ1gn2CiQKWgqQCsEK7AsSCzMLUAtoC3sLiQuUC6ILuAvWC/kMHAw5DFEMaAyDDKUM0w0WDXMN5Q5XDq8O3g7sDu4O6A6+Dj4NSQv2CowJUwhkB54GzgXiBQQEeQRvBN0FiQY2Br8HIAdmB5cHtgfEB8QHvge0B6YHkwd8B2QHTAc0BxYG8QbGBpgGaQY7Bg0F3gWoBWwFLwT2BMYEnQRxBD8EBwPPA5wDbQM/AxEC5AK4Ao0CXwIuAf8B0wGsAYYBXQE0AQwA5gC/AJIAYgAzAAz/6f/I/6P/ff9a/zn/Fv7u/sb+oP6A/l/+O/4W/fj95v3Y/cP9ov17/Vj9PP0i/QX86PzR/ML8tPyf/IP8Z/xR/Dv8HPvx+8P7m/ty+z/7DfsI+1/8GPzn/Vr9HPw9+yj6WvoV+kL6nfrt+yX7VPuF+7D7xvvB+677l/uC+2n7TPsx+yT7Jfss+yz7IfsQ+wf7CPsR+xr7Ivss+zz7Uvtk+2n7XPtG+zL7Kfss+zb7PvtA+zv7Mvsp+yX7KPsv+zf7PPs++0D7RftN+1X7XPti+2j7b/t1+3n7evt8+4L7jPuW+537ovum+677uvvG+8770fvS+9T72vvk+/D7+vv/+/77+Pvx++z76/vt+/H79/v9/AP8BfwE+//7+Pvv++b73PvS+8f7vPuv+6D7j/t/+3T7bvtq+2j7Zvtl+2H7W/tQ+0L7Nfsp+x/7F/sT+xP7FfsU+wr69vre+sf6svqg+pD6gPpx+mD6Tfo3+iD6Dfn++fH54PnJ+bD5l/mB+W75X/lS+Uf5Ovkn+Qz47PjO+LX4n/iJ+HH4WfhB+Cn4Evf99+r32vfH9633jfdp90j3KvcN9u72zfat9pD2dPZX9jf2FvX49dz1wPWm9Y31ePVj9Un1KvUI9On00PS99Kr0lfR+9Gn0VPRC9DL0JfQZ9Azz+vPi88rztPOh843zdvNc80TzMfMh8xHy//Lu8uHy2fLV8tLyy/LD8rrysfKp8qDymfKT8pHykvKV8pXyk/KP8o7ylPKg8q3yt/K58rXyr/Kt8rLyvvLM8tXy1vLS8tLy3PLs8vny/PL68wTzKfNl863z8/Q39IP00/UW9TX1MfUn9UT1oPYm9qj2/Pcb9xv3GPcf9yv3NPc690T3Vvdu94f3nfex98b33ffy+Aj4IvhD+Gn4kPiy+Mz43vjq+O/46/jf+M/4xPjF+Nf49PkS+Sf5MPk5+VP5i/nf+jn6ePqE+lr6FPnZ+cT50/nm+eD5wPmn+cL6HPqX+vr7Jvsp+y77S/to+1H65fo1+YD4/fi8+KP4kfhz+FD4M/gb9/330veh93P3Tvct9wn24fa89p32g/Zn9kj2KfYO9fz17/Xd9b71kPVf9T31N/VJ9Vr1SPUC9JT0H/PG85Tzf/N082zzafNt83Xzc/Ng80HzIvMN8wDy9vLq8t/y2vLb8uDy4/Ll8uvy+vMS8y7zSPNZ81vzTfMw8wvy4/K98pzyffJg8kjyPPJA8lfyePKX8qfyoPKH8mnyVfJO8lTyYfJz8ozyqfLB8sjyuPKX8nXyXvJY8mDyc/KQ8rfy4PL+8wPy8PLN8qrykvKD8nnybvJh8lHyPfIt8inyOfJc8onytPLV8vLzDfMl8zHzKPMO8vHy3/Ld8uLy6PLu8v3zFvMz80rzUvNP80rzTfNa83DzifOl88Hz2vPs8/Tz8/Pp89TztPOO82rzU/NN81PzX/Nu84LznvPC8+n0DPQo9ED0VPRp9H/0mPS29Nf0+fUY9Tf1WfWB9a/14fYU9kf2e/ax9uf3HPdP94P3uPfv+Cj4Yvik+O35PvmQ+eD6LPp3+sX7F/tq+7v8CPxT/Jr83f0f/WP9sP4H/mb+yf8q/4n/5wBFAKIA/AFRAaQB+gJQAqIC6AMhA1QDiwPPBCAEdwTLBRoFZAWuBfgGRAaOBtcHHgdlB64H+AhECJII4wk0CYQJ0AoYCl0KpAruCz8LlQvvDEgMnQzsDTUNfA3EDhEOYA6uDvUPNQ9vD6gP5RAnEG0QshDzES8RZhGeEdwSIBJrErcTABNHE48T3BQvFIQU1hUiFWYVoxXZFgkWMxZeFpAWxxb9FykXRhdXF2QXchd+F4EXfhd4F3cXexd6F20XVhc8FygXHRcSFv8W5RbLFrQWnhaDFmEWPxYmFhsWFxYLFfIVzxWsFZMVhBV0FVoVMRT8FMUUlRRqFEMUHBP6E+YT5xP5FBAUGhQQE/gT3xPQE8oTwxOyE5QTbhNHEyUTCxL2EtwSthKEElASKBIWEhcSHBIcEhgSGhIlEjESMhIsEjoSfBL/E6wUVRTVFSUVWxWNFcIV7xYFFgIV8RXgFdYV1hXaFeEV5hXiFcoVmBVPFPoUqxRvFEoUPBRAFFIUchSYFLoUxxS8FJ8UhRR6FHcUaxRFFBET1hOwE5sTgRNNEwUSwBKYEo8SlBKXEpoSpxK6Er4SnxJbEgwR0xG4EbARpxGaEZARixGCEWcRQREsEUQRkxIBEmwSvRLuEv8S7xK4EmAR/RGtEX8RcRFwEW8RaRFkEWARXRFaEV0RbhGPEbgR3xH8EhMSLRJSEnwSmxKXElsR5BFFEKIQIw/jD98P/BALD+MPcg7JDhYNjw1WDWgNow3fDgsOMw5xDtMPSA+wD/AQBhADEAAQCRAdEDIQPhA8ECsQDg/tD9EPvw+1D6gPkw96D2cPYg9qD3IPbA9UDzAPCg7sDtoO0w7SDtEOyw69Dq4Oqg67DuAPDQ8tDzEPHA77DtoOvg6dDm4OLQ3lDaMNcg1TDT8NLA0RDOcMrAxmDCAL5gu9C6ELiQttC0wLKQsNCwALCgsqC1MLbgttC1QLOQswCzoLQAsmCuoKpQp6CngKkAqeCosKUgoECa0JVQkACLAIbAg0CAQH1geiB2EHAAZpBY8EfwNkAnEBvQE5ALP///8M/e78z/vP+vn6QfmW+Pb4c/gk+Bv4VvjC+UP5wvos+nX6lvqS+nf6WfpL+lL6Y/pu+mf6Tfom+fL5r/lb+Pf4jPgn98v3d/cm9tf2jfZN9hn17fXC9ZH1WfUg9Or0uvSM9Fr0H/Pg86bzevNe80nzLvMJ8t3ytPKQ8mzyQPIO8eLxyvHJ8dTx2PHO8b3xsPGo8ZXxZPEQ8KjwRO/w76nvZO8g7uruz+7K7sXuqO5t7ijt8+3j7fbuIe5Z7pzu5+8274jv5PBa8PTxpfJQ8s3zB/ME8tfyl/JN8fnxmvEw8MPwV+/x75TvQu767rPuYu377Xjs2ewm62jqqen26Vro2+h96DroC+fo58/nu+er55nngedh5z/nIOcD5uPmueaE5k7mI+YK5f7l+OX05fPl+eYG5hTmHOYa5hLmCeYC5gDmBeYO5hjmHOYX5gzmBOYG5hTmLOZL5nDmmebB5t/m8+cB5xPnMedZ54XnrufR5/ToG+hO6I3o1ekd6Vrph+ml6bnpw+m+6aXpe+lT6UPpWOmK6cTp8uoQ6iLqNOpM6mnqiOqq6tDq/+s463jrvewF7E/smOzh7SbtZ+2n7efuK+5v7q7u4u8I7yXvQO9i75Pv1/Au8JHw9/FX8bPyD/Jx8tvzRPOl8/r0SvSe9Pz1XvW/9h32gfb193z4DfiW+Qn5Yvmp+en6Kvpu+rT6+Ps7+3z7ufvv/Bf8MPw7/Ef8YfyZ/O39U/26/hr+c/7K/yT/gP/aADAAfgDDAPoBJQFOAYEByAIjAocC5wM+A4wD1QQhBHAEwgUQBVMFjAXDBgYGXQbDByYHeQfACAsIaQjUCToJhwmzCckJ0gnTCccJrwmNCWkJRgkmCQoI+gj6CQoJIQk1CUkJYAl/CZ8JuQnLCd4KAAo4Cn8KxQr8CyYLSAtrC5ALsAvIC9QL2QvcC+IL8gwNDDAMVQx0DIwMowzADOgNHQ1kDb4OKg6ZDvUPMQ9SD2gPeA9kDvUOCAyxCzkJ8Aj0CCIHQwZHBV8E2QTkBWoGIgbIBz0HigfDB+0IAwgEB/YH5gfXB8YHrQeMB2sHTQcyBxMG7QbBBpAGXgYpBfUFwAWKBVEFFQTaBKQEdgRLBBwD5gOtA3YDRAMXAuwCwQKWAmsCQQIVAegBvAGRAWcBPAETAO0AyACjAHgASgAd//X/0v+v/4n/Yv89/x3+/P7Z/rT+j/5t/k3+LP4K/e391f3A/aj9i/1q/Ub9Ivz+/Nv8wPyw/Kf8nPyH/Gv8Ufw6/CH8APvZ+7P7k/tv+z37EPsP+1777/x0/JD8G/tD+nT6CPoS+mH6s/ro+wv7Nfts+5/7uvu6+6j7lPuA+2v7Ufs5+yr7Jvso+yb7H/sU+wv7B/sI+wr7D/sY+yj7PPtL+0/7RPsu+xf7CfsH+w77G/so+zH7NPsx+yr7JPsg+yH7I/sn+y37Nfs++0T7R/tI+037V/th+2j7a/ts+3L7fPuG+4z7jPuO+5b7pfu0+7/7xPvG+8n7zvvV+9z75Pvq++v75vvf+9r72Pva+9z73vve+9/73vvb+9P7yvvB+7z7ufuz+6v7n/uS+4T7dvtp+177VvtR+0z7R/tB+zr7Mfsn+xz7EPsG+v36+Pr3+vr6/fr7+vD63frE+qz6lvqF+nb6afpc+kv6N/oh+gr5+Pno+dj5xvmv+Zj5gPlo+VH5O/kq+Rz5C/j0+NP4r/iN+HP4W/hD+Cn4Dvf19+D3zve+97H3pveX9333WPcv9wr26/bP9rP2lPZz9lT2NfYU9fL10fWz9Zj1f/Vo9VH1OvUh9QP04fTB9Kf0lfSH9Hf0YvRK9DL0GfQC8+3z3fPR88XztPOd84TzbPNW8z/zJvMM8vby5fLX8snyuvKr8qHynPKY8pHyhvJ28mTyVfJJ8kLyPfI48jPyLvIr8ibyHvIT8gryCvIT8h/yJvIl8hzyE/IQ8hXyIvIz8kPyTfJR8lbyZPJ88pfyrfLB8tzzDPNP85jz2vQX9Ff0nvTc9Pr09fTr9Qj1Z/X19oL24PcD9wD29fb29wD3DfcX9yD3K/c390T3VPdp94X3pPfC9+H4Afgl+Ev4bfiH+Jn4pfiu+LX4uPi0+Kv4o/il+Lb41Pjz+Qr5F/kk+T/5bvmm+dD51Pmq+WP5IPkE+Rz5WfmV+bH5rfmq+dL6Lfqd+u77CPr/+wD7IvtG+zL6wfoK+VL40/ic+Iz4efhU+Cn4CPfv99L3pfdv9z33F/b39tb2sPaN9nH2XPZF9ij2BvXo9dT1x/W39Z31efVS9Tj1MPUz9S71CfS/9Fzz/fO485HzfPNr81jzSPNC80bzTPNM80XzOPMn8xTzAfLw8ujy6fLu8vHy7vLq8uzy+fMQ8yvzQ/NS81XzS/Mz8xLy7PLH8qbyivJz8l7yUfJO8lnycvKR8qzyuvK68q/yoPKR8oPyefJ28n/ykfKj8qnyn/KK8nbybPJu8nrykvK18uLzDPMg8xPy6PKw8oPya/Jk8mTyXvJR8j7yLvIn8jDyS/Jz8p3yv/LW8uPy6/Lv8ujy0vK08pvykfKY8qbysPK28rzyyfLZ8uby7PLv8vXzAvMU8yXzM/M880PzRvNF8z/zNvMx8y3zKfMh8xbzCvMC8wHzCPMZ8zPzVfN6853zu/PZ8/n0G/Q79Ff0cvSO9K700fTx9RH1MvVa9Yr1vvX09in2X/aV9sr2/Pcs9173k/fL+AP4O/h4+L35Cvla+aj59fpF+pj67ftA+4372Pwi/Gz8s/z2/Tv9h/3h/kT+qv8L/2X/uwAQAGUAugEPAWYBvwIXAmUCpQLYAwkDRAOOA+YEQgScBO0FNwV7BbwF/wZFBpAG3wcvB3wHxwgRCF8IsAkCCVEJnAnlCi4KeArGCxgLbgvHDCEMeAzJDRINVw2bDeIOLg57DsYPCw9LD4oPyhANEFIQlhDWERERShGDEcASBBJPEpwS6RMzE34TzRQiFHsU0BUdFV4VlRXEFe8WGhZKFoEWuxbwFxYXLBc5F0QXUBdYF1gXTxdHF0kXUxdcF1gXRBcpFxMXAxbzFt0WwRanFpMWgBZmFkEWGhX9FfEV6hXbFboVkBVqFVQVShU/FSQU9hTBFJEUbhRSFDEUCBPfE8oT1BP4FB0ULRQcE/cT0RO4E6gTmBOAE2ETQBMhEwUS6RLMEqkSexJEEg4R6xHiEewR9BHuEd4R1RHeEe8R+hH+EhcSaRL/E7sUZhTaFRoVRBV2FbIV5BX4FewV0RW3FacVoRWiFaoVthW7FaoVeRUtFNYUhRRKFCsUJBQyFEwUbRSPFKwUuxS5FKoUmRSPFIgUdxRNE/UTvROWE30TYhMxEvESvhKwEscS6hL/EwAS/hMEEwQS5hKfEkQR9BHFEbARphGbEZMRjRGDEWoRRhExEUURhxHlEkASiRK7EtYS0BKeEkQR3RGKEV8RVBFTEU8RSBFGEUkRShFGET8RQhFWEXYRlhGuEb8R1RH1Eh0SOxI7EgURjBDXEAUPRg7MDrEO4Q8oD0MPCw6DDd4NWA0XDRkNOw1bDXANiw3FDiMOlA76D0MPcQ+QD6oPwA/PD9kP4Q/pD+wP4w/SD8EPuw+8D7oPrA+VD4MPgg+QD50PmQ9+D1MPJg8DDu8O7A72DwUPEg8UDwsO/Q74Dv8PCw8ODv8O3g65DpwOiQ53DlgOJw3rDbINiQ1wDWINVA08DRgM6gy5DI0MZgw+DBAL2wunC34LYwtVC1ILXgt8C6MLwQvEC6kLgwtqC2MLXQtCCwsKzwqrCqcKsgqpCnkKJAnBCWIJDQjBCHsIPQgMB+oH1wfMB7gHfwcFBjwFOgQqAzoCfwHiAToAX/9N/h/8/vwG+zf6fvnL+R34h/gg9/T4APg2+Iz49flj+cL5+fn/+eL5xfnF+ef6GPo3+jD6CPnO+ZT5Wvka+M34dfgc98v3gPc19ub2lvZN9hP15fW99ZH1XvUm9O/0vfSO9Fz0JPPm86fzcvNK8y3zE/L08s7yp/KD8mHyPvIX8fHx1vHJ8cPxuvGo8ZPxg/F48WrxTPEd8Orwv/Cd8HbwQfAG79nvz+/i7/fv9O/W77Tvq+/C7+3wFfA08FDwcfCY8MLw8PEw8Y7yAvJu8rHytvKB8ibxt/E78LPwJO+Z7x/uvu527kTuH+4B7eHttO1y7RTsnOwN62/q0Oo86bzpUej26KjoZOgv6Azn+efv5+LnyOeg53HnRecf5vzm1uat5oXmZuZO5jnmIOYF5fDl6uX05gTmEuYa5hzmGuYX5hLmDeYK5grmB+YA5ffl9uYB5hnmO+Zh5orms+ba5v3nHuc/52Xniuep58Dn2egA6EDol+j66V3pt+oE6kLqbeqG6o/qhupq6jrp+um96ZXpi+md6cDp6OoS6jzqZOqG6qDqterL6ufrC+s162froevl7DHsgOzM7RHtUe2N7cruC+5Q7pHuyO7t7wfvI+9U76LwCfB38N3xMvGA8dLyMvKg8xLzevPT9CL0bvTA9Rn1dvXU9jb2pPcl97j4TvjS+Tj5f/m4+fH6NvqG+tr7K/ty+6r70/vt+/78CfwT/CL8PPxq/LH9EP17/eb+Sf6k/v3/V/+1ABYAdADKAQ8BQAFlAYwBxQIXAnwC5wNIA5wD5AQnBGwEtgUBBUcFhwXFBgoGXga5BxEHXgemB/YIVgi+CRcJUwluCXQJdAlxCWkJWQlBCSUJCgj2CO8I+QkRCS0JRQlUCWQJfQmeCb4J1gnoCgQKOgqJCt8LJwtTC2wLgguiC8sL9AwPDBsMGwwaDB8MLwxJDGgMhAycDLQM0w0ADTcNcg2wDfkOVA6+DyQPcg+jD8UP3w/YD3sOmg0/C7IKSwk0CFUHdQaDBasFOAVUBeQGmwc2B50H4QgVCDwISgg9CCEIBQfxB9sHvAeVB24HTQcvBw0G4gayBoAGTgYZBeMFrQV5BUUFCwTLBIwEUwQiA/UDxQOSA14DLgMAAtICpAJ4Ak4CJwH/AdMBpAF2AUkBIAD4ANIArACEAFkAK////9j/tf+T/2//SP8j/wD+4f7B/qD+f/5e/kD+Iv4F/ej9zP2x/Zb9ef1b/Tj9EPzl/L78o/yX/JH8iPx2/F38Rvww/BT78PvK+6j7i/tl+zL7Afr5+zD7kPvU+7v7OvqO+g757/ol+nr6vPrh+v/7Kvtf+4z7pPum+5z7kPuB+277WftF+zb7LPsk+x/7HPsb+xr7FfsP+wj7BvsK+xT7IPsr+zH7MPso+xz7D/sF+v/7APsL+xv7LPs1+zP7Kfse+xb7EvsT+xf7IPsq+zH7NPs0+zf7QPtL+1T7Wfte+2b7cft8+4D7f/uA+4f7lfuj+6z7sfu1+7n7vvvE+8r70vvb+9/72vvQ+8X7v/u/+8D7v/u7+7n7t/uy+6n7nfuU+5H7k/uV+5H7h/t5+2v7XvtS+0j7QPs6+zT7Lvsl+xz7E/sJ+v768Pri+tj61frZ+uL66frp+t76yfqv+pX6f/pw+mT6WvpO+jz6JvoQ+fz56/na+cf5r/mV+Xz5ZPlM+TD5Ffj++Ov41/i7+Jf4cfhQ+Db4HvgD9+P3wvem94/3fPdt92D3VfdG9y33CPbe9rf2mPZ/9mX2RvYj9gD13fW79Zn1efVb9UH1KfUS9Pr04PTC9J70efRa9Eb0OfQt9Bv0BPPq89DztfOb84PzcPNj81jzSPMz8xrzAfLr8tTyvvKr8pzyk/KK8n/ycPJi8lfyT/JH8j7yL/Ib8gXx8fHl8eLx4vHh8dvx0/HN8cjxwfG48a7xq/Gx8bvxwfG+8bbxr/Gu8bTxwPHQ8eHx8fH88gbyF/Iy8lTyc/KM8qjy0/MR81rzovPn9DD0fvTE9Ov07PTe9Ov1MvWu9jb2ofba9un25vbi9uP26fbu9vP29Pb09vn3CPck90r3c/eb98L36/gU+Db4TPhV+Fr4Yvhx+IL4jfiP+Ij4gviF+Jf4s/jP+Ob4+fkU+T75cvmc+aT5gfk++Pj4zfjP+P35Qfl++aD5qvm4+eX6OPqW+tj66/rl+uz7Efs0+x36q/n4+Uf40/ik+Jf4gfhS+Br37ffL96b3dfc79wj24/bG9qj2h/Zp9lX2SPY39h31/PXe9cb1tPWg9Yf1bPVV9UP1M/Ue9Pn0wfR69C/z7vO985jzePNY8zjzH/MU8xfzJPM180LzRfM78yjzEvMC8v3zAPME8wTzAPL98wHzDPMa8yfzMvM880TzRfM48xvy9fLQ8rTyo/KW8ojydvJo8mbycvKJ8qPyufLI8tHy0fLE8qzyjvJ28m3ycvJ88oPyg/KB8oLyiPKT8qTyvvLk8xLzNvM78xby0fKI8lfySvJb8nTyhfKJ8oLyefJ18nryiPKd8rTyyPLV8tfy0PK+8qLyf/Jh8lHyVfJl8nTyePJw8mTyXvJi8mrydPJ88obykvKb8p7ymfKU8pLylPKW8pXyk/KW8qHysvLB8svyzPLH8sPyxvLT8uzzDfMw81HzcfOX88Pz8vQb9Dr0U/Ru9JD0t/Te9QH1I/VL9Xn1qvXc9g72QvZ39qz23vcP90H3d/et9+T4G/hW+Jn44/kw+Xz5yvoc+nT6zPse+2j7rvv1/D78h/zN/RX9Y/28/h7+gf7c/zH/gv/TACUAdgDGARgBbAHAAgwCTAKDArgC9wNDA5oD9wRUBK0E/gVFBYQFwQYCBkwGnQbxB0IHjwfcCCwIfQjMCRkJYwmvCfwKTAqdCu4LQguZC/MMTQyiDO4NNA12DbkOAQ5NDpkO4g8pD2wPrw/yEDUQdxC5EPcRNBFvEa4R8RI8EosS2hMnE3MTwxQZFHIUxhUOFUcVdhWiFdAWAhY3Fm4WohbQFvQXCxcaFyUXLRcvFysXIhcgFykXOhdFFz8XKBcJFvAW3hbOFrgWnhaEFm8WWxZAFh4V+hXhFdEVwRWlFXoVSxUpFRsVFxUMFOoUtRR+FFYUQxQ5FCYUBBPgE9ET4xQMFDEUOBQbE+wTwBOiE4sTcBNPEy8TFhMAEucSyRKnEoUSXxI0EgkR7xHxEgYSFhILEegRxxG/EdAR5RH3EhUSZRL2E68UXBTUFRkVRxV5Fa8V1BXYFb8VnhWFFXcVbRVoFWoVchV3FWsVRxUQFNQUnhR3FGIUXxRoFHcUgxSLFJIUmBScFJgUjBR+FG0UVRQtE8oTmBNtE1ETOBMVEusS0BLcEw0TQxNbE04TLhMUEwES4RKjEk4R/RHGEaoRnBGQEYYRfxF1EWARRhE7EVIRjhHcEiMSWRKCEp8SoRJ4EiMRvhFsEUMRORE4ES4RHxEYERwRIhEhERgRExEaES0RRBFYEWcReRGREa4RyRHXEcURfhDwECEPNw5vDf4N8A4jDlQOTA35DXsNBAy4DJ4MoAyqDLcM0w0NDWINwA4YDmUOrQ72DzgPaA+AD4oPkw+jD7UPvQ+6D7cPvw/QD9wP1w/DD7APrQ+5D8YPww+mD3gPRw8iDxIPGQ8xD08PZQ9nD1MPNA8VDv8O7Q7YDrsOmQ58DmsOZQ5fDlAOMw4MDeENvA2hDY0NfQ1qDVMNOA0fDQgM6gy5DHEMGwvNC5oLhguGC5ELpQvGC+8MDgwPC+0LuwuVC4QLegtgCy8K+grbCtYK1gq2CmgJ+AmCCSAI2AifCGsINggHB+gH4AfnB+YHuAc/BnYFewSCA7UDGwKVAfIBD//v/rP9ifyJ+7D65vod+Vn4sfg79//38fgD+DD4d/jQ+SL5UflM+SL4+vj5+Sj5cPmo+bX5lPlZ+R746/i7+IT4Q/f/9773gvdD9vv2qPZW9g711vWq9YH1VPUh9Oz0t/SE9FH0GvPf86DzZfM18xTy/PLl8sbyoPJ58lnyPvIj8gTx4/HF8a3xmvGG8W/xWPFD8TLxJfEi8SzxQ/Fa8V/xTfEz8SzxRfFy8ZDxhvFZ8SvxG/Ev8VHxbPF78Yvxp/HK8ebx9vII8izyZvKc8qnyc/H98VzwqO/w7z/un+4Z7bbteO1Y7UztSu1M7UntPO0g7PDsp+xE68zrSerM6l7p/+mo6VHo++iv6HfoVuhE6DToGefu57nnhedX5zHnDubr5svmsOaY5n7mX+ZA5inmJOYs5jrmQ+ZG5kXmQOY35inmGeYM5gfmCeYS5iHmOuZe5ovmvebx5yfnXOeM57nn6Ogh6GTooejI6NXo3ej+6UrpvOo76q3rButJ63vrnuuv66/rnOt660jrC+rI6ojqUeom6g3qDOoo6lrqlOrD6uLq9OsC6xPrJes661brguvD7BPsZ+y07PbtMe1o7Z/t2+4d7mLuou7X7wHvLu9y79PwSPC68RTxV/GV8eLySPK88y/zlfPt9EH0l/Tv9UT1lvXp9kb2t/dA99j4bfjp+UP5g/m8+gD6VPqy+wv7V/uS+7v70fvY+9f72Pvh+/T8EPw5/HX8yv01/an+GP58/tj/Nf+YAAIAawDLARgBUAF4AaEB2gIrAo8C+QNeA7YEAQRGBIkEzQURBVUFlwXZBh0GZAauBvUHOgeFB9wIPwijCPcJLglICVAJTglFCTQJGwkBCOsI4AjlCPwJHglDCV8Jbgl2CYMJnQm/Cd4J9AoKCjEKdQrPCycLZwuIC5gLqgvLC/kMJQxBDEoMRAw+DEMMVgxyDI4MpAy3DNINAA1BDYgNxA3xDiAOZw7NDz8Png/ZD/sQFBAUD8gO+g2kDAcKgAlJCFgHfAafBeMFigW1BkgG9weEB98IGQhICGsIdAhiCEEIIwgKB+0HxQeUB2gHRAckBv4GzwacBmsGOwYIBdIFnAVoBTcFAAS/BHoENwP+A84DogN2A0kDHALuAr4CjAJdAjMCDQHmAboBiwFeATQBDQDmAL0AkwBnADsAD//k/7z/mP91/1L/Lv8K/uj+y/6w/pX+d/5Y/jr+Hv4E/ev9z/2x/Y/9bf1M/Sn9BPzd/Ln8ofyT/Iz8gPxu/Fn8RPwu/BL78PvL+6r7ivtd+yD65vrN+uT7Efsi+u/6g/oT+dn56Pok+mf6mfrC+vL7Kftd+3/7j/uV+5j7lPuH+3P7X/tR+0b7Ovsr+yD7Hvsi+yb7I/sZ+w77BvsE+wX7CPsO+xf7Ivst+zL7Lvsh+w76/vr4+wL7Ffsn+zD7Lfsl+xz7FfsP+wv7DPsT+x37Jfsn+yj7LPs0+z37RftM+1X7Yfts+3L7dPt4+4D7jPuU+5j7mfud+6T7rPuz+7v7xvvR+9b70PvB+7L7qfun+6b7ovuc+5j7lvuV+477g/t6+3j7ffuC+4H7eftr+1z7Tvs/+zL7KPsh+xv7FPsM+wX6/vr1+uj61vrE+rj6uPrB+s/62frZ+sz6tfqZ+n76aPpa+lL6Svo8+ib6Dvn3+ef52/nN+bb5mPl5+V35Rfku+RP49/jd+MX4rPiM+GX4Pvgg+An38/fY97b3k/d29173SPcz9x/3D/b/9un2yval9oH2ZPZN9jT2FvXy9cz1p/WE9WP1Q/Uj9QT05vTJ9Kv0i/Rl9Dv0E/P08+Lz1/PK87Xzm/N+82TzSvMx8xrzB/L58u3y3fLI8rLynPKK8nnyafJe8ljyVfJP8kTyNPIj8hPyBvH78fHx5PHU8cDxrPGg8aDxpfGn8aDxlvGP8Y7xj/GN8YfxhPGJ8ZPxmvGb8ZjxmfGe8aTxq/Gz8cDx0vHj8fLyBPIe8j7yXPJu8nzylPLD8wrzXvO39BL0bPS59Ob07PTa9Nb0//Va9dP2SPaf9tH24vbf9tT2yvbE9sD2u/a39rz20/b69yj3U/d596D3zPf5+Br4Kfgp+Cj4MvhH+F/4bfht+GT4XPhf+HD4i/in+L/42vkD+T35e/mj+aL5ePk++RP5B/kb+UD5ZvmD+ZP5oPm3+ef6Lvp7+rP6yfrM+tr6/fsb+wT6nvn/+WD49PjE+LD4kfhZ+Bj33vev93/3R/cN9t32u/ag9oX2Z/ZP9j/2NPYl9g318vXX9cD1qfWP9XX1Y/VY9U31NfUG9MT0e/Q39ADz0/Or84LzWPMx8xLy//L38vvzB/MZ8yvzNvM08ynzHPMT8xLzFPMT8xHzEvMa8ynzNfM38zDzKPMq8zfzRPNC8ynzAfLb8sTyu/K28qfyjfJ08mfybPJ78o3ynvKx8sny2/Lb8sPymvJy8lryVPJZ8mDyafJ18ojynvK08sry5/MP8zjzT/M/8wTysvJo8kXyUPJ88q/y0/Lg8t3y0vLH8r3ytfKw8rDys/K08q3ymPJ58lXyN/Il8iXyMPI78jjyI/IA8d/xzfHO8dvx6/H48gHyBfID8frx7PHi8eTx8fIC8hDyGfIi8jLyS/Jp8oTylfKc8pryl/Kb8qvyxvLp8w/zOfNo857z1fQD9Cb0Q/Rk9I70vvTr9RD1MPVT9Xz1qfXX9gP2MfZj9pb2yfb59yr3XPeQ98X3/Pg5+H/4yvkW+WD5q/n6+lD6qPr6+0T7iPvM/BT8Xvyn/PL9Q/2c/fr+Vv6s/v3/TP+d/+0APACGANABHAFpAbIB9QIyAm8CsgL+A1EDqwQIBGYEwAUQBVUFkgXPBhMGXwavBwAHUQekB/kITQicCOYJMAl+CdAKJAp2CsYLFwttC8kMJgx+DM4NFQ1YDZsN4Q4qDnQOvA8DD0kPjg/TEBgQXRCiEOURJRFjEaIR5hIxEoASzxMbE2cTuBQQFGkUuRT4FScVURV/FbYV8BYnFlcWgRanFsoW5xb7FwUXBxcGFwQXBxcQFyAXLhcvFxwW+hbWFrwWrxalFpYWfRZgFkUWKhYQFfYV3xXNFb0VoxV4FUIVEBTwFOMU2xTGFJwUZBQyFBYUEhQYFBQUABPnE98T8BQSFCoUIxP9E8sTohOFE2oTSBMkEwkS/BL0EuUSzRK3EqwSpxKZEn8SZRJhEnMSgRJuEjgR/hHkEfcSIxJNEncSuxMvE8kUYRTVFR0VTxV/FasVxBW+FaIVhhVzFWYVWBVHFTwVOxU/FTwVLxUZFQEU6RTPFLYUoxSZFJEUhhR1FGcUZRRsFHAUZhRPFDMUFxP2E54TbRM/EyETExMIEvcS7hL/EywTXBNrE0sTERLaErMSjxJcEhsR3BGwEZoRjRF/EXERZhFaEUgRNRE0EVQRlRHhEiASSBJiEnMScRJJEfgRlRFFERwRFBETEQgQ9BDnEOcQ7hDvEOgQ3xDgEO0RABETESIRLRE4EUURWhF4EZYRlhFOEKgPsw6mDcoNTQ0uDUANSg0sDOUMkQxHDBUL+AvrC/EMEAxKDJUM5g02DYwN8Q5iDs0PHA9HD1kPZw98D5MPog+nD6wPuQ/ND9wP2Q/JD7oPug/HD9MPzw+1D4sPYA9BDzgPRw9nD4gPmg+QD3APRQ8fDwAO4g7BDpsOeQ5jDlsOWw5bDlQORg4wDhQN8w3RDbUNoA2RDYQNeQ1wDWYNUA0dDMgMXgv8C7sLowunC7gL0AvyDBoMNgwwDAgL0AumC5QLiAtrCzgLAwrlCuEK3Aq2Cl8J6AlyCRgI3AixCIUIUAgaB/AH3QfeB9gHpQcnBmAFcwSVA/ADggMmAqMB1AC5/3n+Qv0w/EH7YPp/+ab48vh5+D74L/g5+FH4d/ip+NX44/jF+Ij4Tfg2+FP4lPjZ+QL5A/jl+Lv4kvht+EP4EPfX96D3cPdB9wj2wPZs9hr10vWX9WX1NfUE9NH0n/Rs9Dn0BfPN85LzWPMn8wby8/Li8sbynfJw8k3yNvIj8gfx4PG28ZTxf/Fx8WDxSfE08SzxO/Fg8Zfx0vIC8hvyIPIi8jXyX/KI8pDyY/IU8crxqfG08dfx+fIX8j7yd/K18uPy9vL58wLzGPMk8wLylvHe8PDv7e707h7teO0J7MnsrOyi7KDspOyr7Lbsw+zL7Mnssux+7Czrx+tg6wLqsOpd6gPpoOlA6PHovOic6IfobOhF6BTn4Oe055DncOdQ5y3nCubq5szmsOab5pPmmOak5qvmpOaS5nzmZ+ZW5knmQuZJ5mDmhua15uznJudh55jnzOf/6DXoa+ic6MTo8uk26ZTp9uo86ljqWupp6qTrCet96+DsKexd7Ibsp+y77L3ssuyd7IHsXOwo6+HriOsl6svqkOqB6prqx+rz6xXrMOtI61vrY+tj62frgOu27AHsUOyX7NTtDe1H7YLtvu3/7kfulO7e7yDvYO+s8AzwefDf8S/xavGl8fTyW/LN8zjzlfPt9En0qvUG9VT1l/Xe9jj2sPdC9934a/jc+S75bvmy+gj6bPrL+xb7SPtr+4X7l/ue+5r7mfuk+7774vwP/En8m/0G/YD9+P5l/sb/Jf+I//AAVgCzAQABPgF1AbIB/QJZAr0DIQN+A9YEKgR8BMgFCgVGBX8FuwX6BjkGdQatBuUHJAdxB80IMQiQCN8JGAk/CVcJXQlPCS0JAQjbCMwI2Aj7CSwJWgl7CYkJiwmNCZsJtwnXCfMKCQonClkKowr5C0gLgQujC7kL0QvzDB0MRAxaDF0MUwxKDE8MZgyIDKgMwQzZDP4NPA2LDdcODA4oDkIOfA7gD1gPvQ/5EBQQIxAiD98PIQ3XDDoKowlUCFAHcAafBfsFvAX6BpIHPQfACA0IPAhgCHwIhAh1CFoIQAgmCAIHzgeTB14HNwcUBu0GvAaJBlgGKQX3Bb4FgwVNBRwE6QStBGoEJgPoA7MDgwNXAywDAQLTAqMCcQJDAhkB8gHLAaABcwFIASIA/ADTAKUAdwBLACL/+//T/6r/gP9Y/zP/EP7v/tL+uv6k/o3+cv5U/jX+Gv4C/ez90v2x/Yj9X/04/Rf8+Pza/L/8qfyZ/I38fvxr/Fb8Qfws/BL79PvV+7X7j/ta+xf62Pqy+qr6qvqR+lX6Dfnf+eL6Cfo0+lP6bfqZ+tr7IPtS+2v7d/uF+5T7mPuJ+3D7W/tU+1L7S/s8+yz7Jfsn+yn7Jfsb+xH7CPsC+vv69vr3+wH7Evsm+zb7Pvs5+yj7EPr++vj7AvsQ+xz7Ivsk+yT7H/sV+wj6//sB+wv7Fvsc+xz7HPsi+yz7Nvs++0X7TftV+137Zftw+3z7hvuL+4r7iPuL+5L7nPuk+637uPvD+8j7wvuz+6P7mvuY+5f7kPuG+4D7f/uC+4H7fPt2+3P7dvt5+3j7cPtk+1X7Q/sx+yD7EvsI+wH6+vrz+u366frh+tT6wfqv+qb6qfq2+sT6yvrD+rH6l/p6+mD6TfpC+jv6M/oh+gf56vnT+cf5wfm3+aL5gvlf+UH5KvkW+QH46PjO+LL4k/hu+ET4HvgB9+z32ffB96P3h/dw9133Rvcr9w/2+Pbm9tX2vvag9oH2ZvZO9jX2F/Xz9c71qfWI9Wf1RfUg9Pn00PSq9IT0XvQz9AXz2vO686bzmfOL83XzWvM+8yXzDfL18t/yzfK+8rDyn/KL8nnyavJf8lTySvJC8j3yOvIy8iXyFPIC8fHx4vHW8c3xx/G+8a/xnfGP8Y3xkvGU8YvxfvF38XrxgvGG8YTxgfGF8Y/xmPGe8aXxrvG58b7xvPG58cDx0fHm8fbyBvIc8jnyVfJi8mHyY/J+8r3zGvOH8/X0WPSk9M/01vTF9Ln0yvUG9Wf13PZN9qb21/bi9tH2uPak9pj2j/aN9pr2uvbq9xv3QPdc93n3n/fK9+v3/fgC+An4Gfgw+ET4TfhJ+D74NPg1+EL4Wvh4+Jf4vfjv+S75a/mO+Yj5YPky+Rn5Ifk7+VX5Y/lq+XP5hPmi+dH6DvpR+of6pfqz+sL63fr1+uj6nPoc+ZP5Kfjq+ML4lfhX+BH30PeW9133Ivbq9r72n/aE9mj2S/Y09iT2F/YF9e712PXF9bL1mvV89WD1UPVL9UL1IfTh9I70PfP989DzrfOH81vzMfMQ8v7y9/L08vTy+PMB8w7zGPMc8xrzGPMZ8xzzHfMb8xzzJ/M881XzYvNb80TzLvMn8zTzR/NL8zXzDfLn8tTy0PLK8rTyjfJp8ljyXPJp8nPyfPKO8q3yz/Lc8snynPJu8k/yRvJI8k7yWPJr8ofyp/LI8unzD/M481jzW/M08uvymfJg8lbyfPK58vLzEfMR8v3y4vLJ8rTyn/KM8nzycPJj8lHyOPId8gjx//IC8gnyCvH68dbxofFq8UDxMfE78VPxavF58YDxgvGB8XzxdPFw8XbxiPGd8a/xufHB8dHx7PIS8jryWvJs8m/yavJo8nbylvLD8vTzIvNQ84HztPPk9BD0OfRp9KL03PUO9TD1SPVi9YP1rfXY9gL2LPZZ9on2ufbn9xX3Q/d096n34fgh+Gj4tfkD+Uz5k/nc+iv6fvrP+xv7Yvup+/D8O/yG/NX9Kf2C/d7+OP6N/t3/K/97/8kAFABcAKEA5wEuAXQBtgH2AjYCegLDAxMDaQPFBCUEhATbBSYFZwWjBeEGIwZrBrgHDAdmB8IIGghrCLYJAQlRCaUJ+QpLCpoK6wtCC54L+wxTDKMM6w0wDXUNvA4EDkwOkQ7XDx0PZg+wD/sQRhCQENYRGRFZEZkR3xIqEncSwRMKE1QTphQBFFsUpxTgFQkVMhVlFaMV4hYXFj4WXxaBFqQWxBbXFt0W2xbcFuUW9hcJFxkXHRcQFvIWyxaoFpIWixaIFn8WaRZGFh8V+hXcFcYVuBWuFZ0VehVHFQwU2RS3FKEUjBRtFEMUGBP4E+0T8RP6E/gT6RPUE8sT1hPrE/cT6RPFE5oTdxNdE0ITIRMDEvYS+xMEEwIS9xL4ExETORNSE0oTKRMPEwkTCBLqEqgSXxJBEmQStBMLE1ITkhPiFEYUqxT1FSIVQhVmFY4VqBWrFZ0VjRWBFXIVWxU+FSkVIxUpFTIVNxU8FT4VNRUZFO4UwhSjFJAUfRRkFE8UShRTFFoUTRQrFAMT4hPEE4ITSxMZEwATBBMTExgTERMOExoTKRMjEvkSuBJ4EkkSJRH+EdIRqhGSEYgRfxFxEWARUBFAES0RGhEZETsRgRHUEhcSPRJLEkoSOBIJEbsRXxEVEO8Q6hDvEOsQ3BDPEMsQzhDNEMUQvBC6EMUQ2BDrEPcQ/BD7EPsRChExEWcRjBFvEOgP+A7ODa8M2gxkDDwMOww8DCoMAQvJC4sLUwsvCyoLSAuDC84MIAx7DOgNaw37DoMO6Q8nD0YPWQ9sD30PiQ+OD5IPnA+oD68Pqw+iD6EPqw+6D8EPtw+eD38PYw9TD1QPaA+ID6YPsA+fD3oPVA82DyAPBQ7fDrIOig5yDmcOYg5aDlAORg48Di0OFA30DdYNwQ21Da0NqA2lDaQNmw13DSkMvQxNC/oL0AvGC8wL2wvyDA4MHwwTC+oLuAuUC4MLcgtLCw8K1Qq5CrkKuwqfClsJ/wmkCV0JJwj3CMEIfwg5B/kHzQezB5sHYwbzBkgFfwTJBEkD/gPCA10CpgGYAFT/Cv3d/NH72frq+gz5WPjk+LD4qvi3+Mv43fjt+PD43fis+Gb4Hffq9933+fgw+Gn4kPia+I34dfhY+DP4AffE94b3Ufcm9vr2wvZ79iz13fWT9U/1EfTb9Kr0ffRP9CDz7vO684TzTvMg8wHy8PLh8sXymvJp8kPyLPIZ8fzxz/Gf8Xzxa/Fi8VfxSvFI8WLxmvHk8ivyXPJz8nbyb/Jt8nfyivKV8oPyTvII8c/xvvHX8gnyP/J28rXzAfNT85nzx/Pg8+7z9PPi853zE/I+8S7wAO7X7dbtFuyf7GLsR+w57CvsIOwg7CzsRexk7H/si+x77E3sCevA63zrPOr16p7qN+nL6WzpJej46Nvoweie6HPoRugf6AHn5ufJ56XnfedX5zfnHucQ5w/nF+cf5xvnBebk5sbmt+a85tjnCedM55rn6+g46H/ov+j16RzpNOlH6WDpfOmT6aHptOnp6kzqx+sv62Trauto64XryOwd7GjsouzR7QDtLe1P7WHtZ+1q7W3tae1U7SHszuxh6+7riutH6yfrIOsm6zrrXOuI663rvOux653rm+u66/TsNux17K/s7e0x7Xntvu4C7k/upu8C71Xvne/g8Czwg/Dc8Snxa/Gv8gXybPLW8zXzifPe9D70o/T99UL1e/XA9iT2rPdJ9+X4avjN+RT5VPmh+gH6Zvq1+uD68Pr7+xD7LvtF+0/7Vftn+437wvv9/EH8lv0B/Xz9+P5n/sj/I/9+/9wANwCLANYBHAFnAb8CKAKXAwEDXAOrA/sEVASyBQYFSAV4BaMF1gYSBlEGiga6BuoHJgd0B9IINAiLCNEJCgk6CWIJdglqCT8JBQjaCNII8QkqCWQJjQmdCZoJlQmaCbAJzQnpCf8KFgo8CnUKvQsHC0kLfgunC8gL5QwCDCAMPAxODFEMSwxJDFcMeAyiDMoM6g0NDT4Ngw3SDhUOPw5SDmsOpQ8ID3oP1xAJEBoQHhARD8kPDw3VDEsKwQlxCF4HbQaXBf4F1AYpBs8HfQf6CD4IYQh6CIwIjgh/CGgIUAg1CAwH0geRB1cHKQcCBtgGpwZ0BkMGEQXbBZ8FYgUqBPkEyASUBFgEGQPbA6EDbAM6AwwC3wKxAoMCVQIqAgIB2wGyAYcBXAEzAQ0A5AC4AIcAWAAuAAr/6P/D/5n/a/8//xj+9f7Y/r/+qv6V/oD+Z/5M/jD+Fv3//ef9zP2n/Xz9T/0m/QX86vzS/Lr8pfyU/IX8dvxl/FL8Pfwn/A/79vvb+7z7kvtZ+xn64Pq5+p36evpF+g358foH+kH6ePqJ+nn6bPqF+sT7Cfs3+0v7V/tt+4b7j/uA+2X7U/tS+1j7VvtJ+zr7MPst+yn7IfsY+xH7C/sD+vf67frr+vL7APsQ+yD7Lvs4+zf7KvsY+wr7BPsG+wj7C/sP+xX7GfsU+wb6+fr1+vz7B/sO+w/7EPsX+yP7MPs3+zr7O/s/+0b7Uvti+3H7ffuB+4D7f/uA+4b7jfuT+5r7pPuu+7T7sPuk+5f7kPuO+4r7gft2+2/7cPt2+3v7fPt5+3b7dPty+237Zftb+037O/sm+xH7Afr3+u/66Prh+tr61PrM+sD6r/qi+p76pfqx+rf6svqh+oj6bfpT+j76MPop+iT6GvoF+eb5xvmv+aT5ofmc+Yr5bPlI+Sn5EvkB+PD43PjE+Kf4hfhd+DT4Dvfx99z3yfe095/3jfeA93T3YfdD9yL3Bfbx9uH2zva19pf2efZd9kD2IPX+9d31vvWh9YL1X/U19Qf01/Sr9IL0WvQw9ATz2fO386HzkfOC823zVvM98ybzDfL08t3yyvK88qzymfKG8njyb/Jp8mLyV/JM8kPyOvIu8h3yDfH/8fPx5/Hd8djx1vHS8cbxsvGg8ZjxmfGY8Y7xf/F28XnxgvGH8YXxgvGF8Y7xl/Gg8avxuvHH8crxwPG08bXxxPHY8ebx7/IA8h3yPfJO8kjyO/JC8nLyzfNF88H0LfR69KH0qfSd9JH0lPS09Pj1YPXf9lr2svbY9s/2sPaP9nr2b/Zy9oX2rPbe9w73MPdG91z3d/eV96z3vPfK99/3+fgQ+B34IPgd+Bn4FPgR+BX4KPhJ+Hb4qfjf+Rj5R/ld+Ur5F/jc+Lj4uPjT+Pf5F/ky+U35afmH+av53PoZ+lX6gvqa+qf6ufrN+sz6nPo7+cP5U/j/+L/4gvhA9/r3t/d690D3B/bV9q32jPZu9k/2MvYb9gn19vXf9cj1t/Ws9aD1ivVr9Uz1OPUs9Rn07/Sr9Fn0DvPW87DzkPNs80XzIvML8wHy/fL48vPy8PL08vzzA/MH8wjzC/MU8x3zI/Mo8y/zQfNb83XzgPN281zzQfM28z7zTvNS8z/zGvL28uTy3vLT8rPyg/JZ8kfyTvJb8mHyY/Jx8pXyv/LW8sjynvJy8lbyT/JQ8lPyWPJp8ofyrvLa8wjzOfNk83jzZfMp8tjykfJv8n7ysvLw8xvzIfME8tTyovJ88mHyTPI58iXyEfH78eTx0PHF8cbx0PHY8dHxtPGC8UPxA/DP8LTwt/DQ8PHxC/EY8R3xJPEu8TnxQfFF8UvxVPFe8WXxaPFt8XzxmfHC8e7yFfIu8jfyOPJB8l/ylfLW8xDzOPNT827zkvPA8/H0J/Rm9K709/Ux9VL1YfVs9YL1pPXO9fj2IfZM9nn2p/bV9wL3Mfdi95f3zvgK+E34l/jl+TH5evnB+gr6Vvqk+vL7PvuI+9L8Hvxt/MD9F/1x/cv+Jf57/sz/Gv9m/7D/+gBCAIgAzQERAVMBlAHSAhECUQKVAuADMgOLA+kERwSdBOsFLgVsBagF5QYpBnQGyQcmB4YH4Qg0CIII0AkhCXUJyAoYCmcKugsSC20LxgwYDGMMqgzxDTsNhw3SDhoOXw6jDuoPNA+CD9MQJRB1EMARBhFIEYwR1RIjEnESuRL8E0ITkhPrFEMUjRTDFO4VGhVSFZIVzhX9FiAWPhZgFoMWnharFqwWrBa2FssW5Bb3Fv4W+RbqFtIWsxaVFoAWdhZzFmwWVxYzFgMV0xWrFZAVgBVzFV0VNxUDFM0UnhR6FFsUORQWE/kT6BPkE+kT7hPpE9cTuxOdE4oTixOXE6ETmhOCE2QTShM1Ex0TAhLwEvMTCRMfEyQTHxMqE1wTpxPmE/QT1BOkE4ETZxM+EvkStBKdEtATQBO+FCUUcRSvFOkVFhUpFScVJhU6FV8VhBWZFZwVlhWMFXsVXhU+FSgVJBUtFTgVRBVQFVoVVRU1FP8UyhSqFJ4UlxSGFHAUZRRoFGsUWhQwE/0T0hOtE38TRRMREv4TERMzE0MTNBMQEu4S0xK0EocSThIZEfMR1RG4EZkRgRF3EXURbxFfEUwROxEuERsRBBD4EQ0RShGbEeQSDBISEgIR4hGyEW8RJhDsENAQ0hDfEOUQ4RDZENQQ0hDOEMMQtxCxELUQwhDPENgQ2hDZEN4Q8hEZEUURVREgEIoPnA59DWUMfwvhC4kLZgtkC2cLWgsuCukKogpxCmkKigrHCxYLcQvfDGUNAg2oDj8Otg8HDzkPVw9pD3IPdA9zD3UPfQ+FD4gPiA+KD5YPpg+vD6QPiw9uD1wPWA9gD28Phg+jD7wPww+0D5QPdQ9gD1EPOw8VDuUOuQ6aDoUOcg5aDkQONw4zDjEOJw4VDgEN9A3tDekN5Q3lDe0N8g3gDaENOQzBDFoMGAv2C+UL3gvdC+AL2wvEC5wLcwtXC0YLLQr8Cr0Kigp3CoEKjQqFCmMKNAoFCdYJoAlfCRIIvwhoCBMHyAeNB1wHJQbRBlkFzAVKBO0EtASCBCYDewJ1AS3/z/6B/Vf8Tftd+ov54/l0+T35Mfk++VT5Zflp+Vj5Mfj4+LX4bPgn9/P34ff2+Cj4XviB+I34ifh8+GT4Nffu95v3TPcM9tf2o/Zp9if13vWR9UL0+PS69In0X/Q09Abz1fOj83LzQvMW8vfy5PLU8rnykfJi8jvyIPIH8eTxtvGJ8WrxW/FR8UbxQ/Fe8aPyBfJh8pXyl/J38k3yK/IS8fzx5vHU8cvxyvHS8ePyAvIx8mzyqvLl8xzzVfOW8+L0L/Rw9Jb0lvRq9BLzkPLg8gHw9e/P7rDtvO0J7JXsTewb6/Tr2OvK687r4ev/7B/sNuw77CrsCuvm68PrnOtk6xXqsepD6d7pjulV6TDpEujx6Mvooeh96GDoSegx6Bbn+Ofb58DnpueQ54Hneed052jnVedG50vnc+fB6DDotOk56a3qAuo16lTqaup56nrqaepO6jXqJuoW6f7p6+n86kbquesp623rgOuD65rr0ewZ7Fzsk+zG7PvtMO1c7Xntj+2k7b3t1O3f7dbtsu1y7R3svOxc7ATruuuI63frj+vF6/vsFOwF69/rwevD6+fsHuxa7Jjs3e0q7Xntxe4Q7mLuwu8m737vv+/w8CLwZPC28QvxXPGu8gnyb/LV8y/zffPN9Cn0i/Th9ST1YfWw9ib2wPdo+AP4fPjR+Q75SfmU+e/6RPp6+ob6evp2+o/6vfro+wT7GPs4+2/7t/wG/Fj8sv0c/ZP+Cf50/tD/JP93/8wAIQB0AMMBEgFsAdkCVwLaA0sDogPlBCcEeATSBSQFXgWFBacF2AYZBmAGnwbTBwIHOweIB+UIQwiSCM4I/wkuCVwJfAl9CVoJJQj9CPoJIQleCZMJrgmrCZ4JmwmuCdEJ8woJChgKLgpVCo8KzwsMC0MLdQuhC8IL1wvlC/cMDwwmDDYMPwxPDG8MngzPDPgNGw1DDXsNvw4CDjUOVg5yDp4O5w9ID6gP7RAPEBkQFg/6D58O3Q2yDEsK5gmoCI4HiAaiBgsF8wZdBw8HvQgzCG8IigibCKMImwiDCGQIRQglB/sHxQeIB00HGQboBrcGgwZQBh0F6AWwBXQFOgUFBNUEpwR2BEEEBwPMA5IDWgMmAvQCxQKVAmgCPAIUAe0BxQGcAXABRgEdAPMAxwCYAGgAOwAS/+7/zP+o/4D/Vf8r/wT+4/7I/rL+nf6I/nL+XP5H/jL+HP4D/eb9xP2c/XH9Rf0f/P784vzH/K38lPyB/HP8aPxc/E78Pfwo/BL7+/vg+777kvtb+yP69PrO+qn6ePpB+iL6N/qE+uH7FfsD+sL6i/qH+rX68fsa+y37PftW+3H7fPtx+1/7Vvtb+2H7XftQ+0T7Pfs4+zD7JPsa+xX7EfsH+vj66/rp+u/6+Pr++wX7E/sl+zX7Ofsz+yf7HPsQ+wP69frv+vX7APsG+wP6+Prx+vL6+vsB+wT7B/sP+xv7J/st+yz7Kvss+zT7QftR+2D7a/tw+3H7cftz+3X7eft9+4L7i/uV+5z7nPuV+4v7g/t++3j7cPtp+2b7aftx+3j7fPt7+3f7cftq+2L7WftQ+0T7Mvsc+wf69/rv+un64/rZ+s/6xPq4+qv6n/qX+pj6oPqm+qH6j/p0+lb6PPoo+hv6FPoS+g76A/nr+cv5qvmS+Yf5hfmB+XP5WPk2+RT4+vjn+Nf4xfiw+JX4dfhR+Cv4CPfr99T3v/er95r3jveI94L3cfdU9zD3D/b29uT20Pa29pb2c/ZQ9i32CfXp9c31t/Wh9Yb1Y/U39Qb01/Ss9If0ZPQ/9Bjz8vPR87jzpPOT84DzbPNY80HzJvMK8vDy3fLO8r/yrPKZ8ozyhfKA8nbyaPJZ8kvyPvIu8hzyDfIE8f7x+PHw8evx6PHk8dfxwPGp8ZzxmPGV8Yvxe/Fx8W/xc/F18XLxcPF08Xzxg/GJ8ZLxofGu8a/xovGS8Y/xnPGs8bTxt/HD8eLyCfIk8iXyEvIH8iHybPLh82fz4vQ79Gr0dvRv9GP0XfRn9I303/Vd9e/2bfa19sH2pfZ/9mL2VfZa9m/2lPbB9u33Evcw90r3Xvdo92f3Zvdz95L3tvfR99735Pft9/n3/vf59/P3/vgl+GH4ovjb+Qn5J/kt+Q34yfh1+DP4Hfg2+HH4uvkA+Tn5Xflw+YH5ovnb+iH6W/p8+on6lPqk+qn6ifo4+cT5TPjn+Jj4VPgR9833jfdU9yH28vbJ9qT2gvZh9kH2JPYL9fX13PXB9az1oPWd9Zj1hvVn9UT1JfUH9OP0sfRx9C/z9vPK86jziPNn80bzK/MY8wvzAPLz8uny5vLr8vPy+fL78vzzA/MP8x/zL/M9803zYPN184jzkPOL83rzZfNY81jzYPNh81DzLfMI8u7y4PLO8qzyfvJZ8kvyU/Jc8lvyVfJe8oLysfLP8sryqfKF8m/yaPJl8mLyZfJ28pnyx/L88zPzZ/OL85DzavMj8tXynfKQ8qvy3fMM8yDzDfLa8pXyU/Ii8gPx8PHg8c/xvPGn8ZXxivGJ8ZHxlPGF8VvxHfDY8Jvwb/BZ8FrwcPCU8Ljw0PDa8N7w5/D58Q/xH/Eo8SrxKvEq8SfxJ/Et8UDxX/GH8bDx1PHt8f7yDvIt8mfyuPMM80vzaPNv83bzjPOy8+H0FfRU9KX0/vVK9XX1gPV89X/1lPW49eH2C/Y19mP2kvbD9vP3JPdX94v3v/f0+C74cfi9+Q35XPmm+e36NPp/+s37HPtq+7f8BvxZ/LD9CP1f/bX+DP5i/rT/Af9K/5H/2wAmAG8AtgD5ATwBfwHAAf4COgJ3AroDBgNaA7IEBwRYBKQE6QUrBWoFqwXwBj0GlAbxB08HqQf+CFAIpAj4CUsJmwnpCjkKjQrlCz0LkAvdDCUMbAy2DQQNVQ2kDe8ONg56Dr0PAw9PD6AP9hBMEJwQ5BEoEXARwRIYEm0SuRL8Ez4ThxPWFCUUaRShFNMVBxVBFXwVsBXYFfoWHBZAFl8WchZ4FnsWhhaeFrsW0BbYFtQWzhbJFsAWrBaNFmwWUxZGFj0WLBYMFd4VqxV8FVoVQhUuFRIU6xS9FJAUahRIFCMT+xPaE8sT0hPmE/YT9BPcE7ITgRNUEzUTLBM0E0ETRBM6EyoTHBMPEwAS7xLmEvITDRMlEykTHhMlE1cTshQLFDUUIBPkE6MTbhM6Ev0SxhK2EuYTTBPHFDYUkRTaFRUVNhU3FSMVFBUhFUgVdBWPFZQVjhWEFXQVXRVFFTUVMxU4FToVORU7FUEVPhUmFPsU1RTIFNMU3hTTFLMUkxSBFHgUZRQ+FAwT3BOxE4sTVBMjExATIBNAE00TNBL7ErsSghJTEiYR+xHYEb4RqBGQEXgRZhFfEVwRUhE/ESoRHBEWEQwQ9hDhEOERBBFCEX8RoxGmEZERcRFNESUQ/BDdENEQ2RDpEPUQ9xDyEO0Q6BDjENkQzBC/ELUQsBCvELEQuRDIEOIRBhErETgRDhCTD8kO0A3TDPUMQQuyC0MK+ArSCsAKqAp0CicJ3wm7CccJ9wo3CnsKzQs8C9IMgw05Dd0OZQ7ODxsPUQ9uD3YPbw9oD2gPcQ9+D4gPkA+cD6wPtw+tD4sPXg87DzQPSA9mD4MPmw+yD8cP0Q/ID64Pjg91D2IPTQ8vDwkO5A7FDqkOiA5hDj0OJw4lDi0ONQ42DjIOMA4vDi4OLg40DkQOVA5KDhINqw0tDLsMaQw1DBEL8AvRC7ILkAtlCzULCgrsCtUKtQqFClUKOwpAClgKbApwCmkKYwpaCkAKCAm2CVgI+gicCDsH2AeABzwHBQbNBoUGMwXkBaUFcwU3BNEEJAMkAeAAef8V/dL8uvvO+wv6c/oE+b75n/mh+bz53vnw+eH5s/l0+S/46fig+Fv4K/gg+Dr4YviF+Jr4qPi3+Lr4ofhf9/33kfcr9tT2ifZH9gj1yPWC9TX06/St9Hz0UfQj8+7zufOJ813zMvMJ8ubyzfK58qHyfvJU8izyCvHo8cLxmPF08V7xUfFD8TTxOfFo8cTyLfJz8nPyNvHg8ZnxbfFJ8R3w7fDY8PvxVfHK8jTygPK28ujzHvNO823zfvOb89z0QPSn9OX03/Sb9Djz1fN18wDyWPFy8F/vQ+5C7W/szuxZ7Abr0eux66Lroeur677r0uvf6+Tr4uvf69rryeuf61rq/uqZ6jrp6Omo6XnpVuk26RTo8ejO6LHomuiI6Hrob+hh6EzoLegI5+jn1efO59Hn3+gG6FTo0ul66jnq9OuN6+zsBevm66zrdetM6yTq7uqq6mfqM+oH6dvpsumi6cLqEOpr6rDq2+sA6z3rlOv17Efshey17OHtCu0r7UbtX+187Zvtue3V7e7uAe4E7e7tue1m7QDslew67ATr/+wk7FTsa+xX7CLr7OvU6+XsGOxb7KLs6u0y7XrtxO4S7mvu0O8074Xvue/X7/nwNfCM8O/xTPGk8f/yZPLL8ybzc/O99A/0avTB9Qv1VfW19jv24feN+CP4lPjf+RX5S/mN+dr6HPo7+jT6G/oT+i/6Zvqd+sb66PsZ+2H7u/wY/HP80v07/av+GP57/tL/I/91/8oAJAB/ANkBMgGRAgACgQMIA34D1gQTBEsEjgTZBR4FUAVzBZkF0AYbBmwGtQbwByMHXAekB/oIUwidCNII+AkfCU4JewmSCYYJYAk8CTUJVQmKCbcJyAm/CbIJuQncCg0KNQpICk4KWgp6CqwK5gsfC1YLiAuuC78Lvgu8C8kL6AwMDCkMQwxmDJsM1w0IDSgNQg1rDacN6g4hDkUOZQ6UDt0POQ+VD9sQBBAVEBwQFg/rD3cOpQ2EDEILCAnkCMgHsQa/Bi8GKwajB1YH9whdCI4IpQiyCLMIoQh+CFMIKggDB9gHqAd0BzwHAwbHBooGUAYbBeYFsAV3BT8FDATeBLIEhgRYBCcD8gO7A4IDTAMYAuYCtAKBAlECJQH9AdYBrQGCAVcBLAECANUApwB6AE4AJP/7/9L/q/+G/2L/PP8W/vL+0v66/qf+lv6D/nD+Xv5P/kL+MP4V/fH9x/2a/W/9Rf0g/P383fy+/J/8hfxv/GH8WPxR/Er8P/wv/Bv8A/vn+8T7mftn+zP7Bfre+rr6mvqK+qD65vtJ+5X7nPtT+ub6k/qB+qf63vsI+yD7NftP+2X7bfto+2T7avt0+3X7aftZ+1D7T/tM+0D7L/si+x37GPsM+vv67vrt+vX6/Pr++v/7B/sY+yn7NPs2+zT7Lvsi+wv67/rc+tr66vr8+wT6//r1+vD68/r6+wH7BvsK+w77EvsT+xL7E/sZ+yb7NvtF+1D7V/tc+177YPtg+2D7Yftk+2n7cvt8+4T7h/uE+3z7c/tr+2T7YPtf+2P7avtx+3f7eft4+3P7bPtj+1r7UvtJ+zz7KfsT+v/68vrr+uj64frW+sb6tvqm+pj6jvqK+oz6j/qN+oD6Z/pI+ir6E/oF+f75/fn++fv57fnT+bL5kvl7+XD5bvlr+WD5Sfko+QX45fjM+Ln4qfiX+IL4Z/hI+CX4BPfm9833tveh94/3g/d+93f3aPdM9yf3A/bm9s/2ufae9n32WPYw9gf14PXB9av1nPWN9XP1TfUe9O70wvSe9H/0Y/RF9CT0AfPi88bzrvOY84TzcfNe80jzLPMO8vPy3/LP8sDyrfKa8ozyg/J78m7yXPJL8j3yMfIh8g/yAfH48fTx7vHm8d3x1/HQ8cLxq/GS8YLxe/F48XDxY/FW8U/xS/FI8UbxSPFR8VnxW/Fa8VzxZ/F08Xbxa/Fd8VnxY/Fw8Xbxd/GD8aLxzfHv8ffx5fHP8dHyAvJn8u/ze/Pr9Cz0QfQ99DH0JfQg9DD0bPTf9Xn2EfZ89qf2nfZ69ln2R/ZG9lb2cfaT9rb23PcE9yj3Pfc59yL3DfcP9y73Wvd+95T3p/e/99n35fff99T33vgN+Fj4pPje+QD5DvkH+OH4mfg99+73y/fg+Cb4hPjg+SX5SvlW+V35ePmw+fn6N/pZ+mP6afp2+nv6W/oH+Yz5C/ih+FH4EPfR95D3VPcj9v723vbA9p/2ffZc9j32IvYI9ez1zfWw9Z31mPWb9Zn1ivVs9UT1GPTp9Lb0f/RL9B3z9vPT86/zi/Np803zNvMj8xDy/fLr8uDy3fLi8ury8fL18vzzCPMb8zPzSvNf83PzhPOS85zzpPOn86PzmPOM84PzgfN982vzSPMb8vPy1fK98qLyg/Jt8mfybPJr8l3yTfJR8nTypfLK8tHyvvKl8pHyhPJ58nLyefKW8sby//M282jzj/Oh85LzYPMa8tnytfK18tHy9fMO8wzy6/Kv8mfyIvHr8cfxr/Gg8ZTxifF98XHxZvFe8VHxNfEA8LfwafAt8A7wCvAX8C7wTPBv8JDwp/Cw8LTwu/DJ8Njw4/Do8Onw6fDq8Ozw8vEA8RvxPvFk8YfxpvHA8drx+PIo8nHyzvMp82rzh/OP85nzs/PX8/n0GfRH9JX0+/Vc9Zj1pfWT9YL1hPWe9cT17/Yb9kz2fvax9uL3E/dG93n3rfff+BT4UfiZ+On5O/mH+c76E/pc+qv6/ftO+5777/xF/J789P1G/Zb95v44/on+1f8d/2X/sQAAAE0AkwDWARoBYgGrAe8CLAJmAqMC6QM0A4IDzQQXBGEEqgTxBTYFfAXHBhoGdAbRBysHggfYCDAIiQjhCTQJggnPCh8KdQrNCyQLdgvDDA4MWQylDPUNRg2XDeQOLA5uDqsO6Q8rD3cPyxAiEHMQuxD9EUcRnhIAEmISuBMAEz8TfhPBFAQURBSAFLsU9xUxFWMVjBWuFdEV9RYXFjAWPBZCFk8WahaPFq0WtxavFqMWoBamFqcWkhZnFjQWDBX2FesV3RXDFZsVbhVGFScVEBT6FN0UtxSNFGcURxQpFAYT3hO9E7ITvxPZE+kT4BO7E4MTRxMTEvIS5hLrEvQS9xLxEugS5BLmEuYS4BLcEuMS+BMLEw0TABMAEy4TiRPvFCkUGxPQE3ATGxLcEqwSiBJ4EooSwBMNE2YTxhQsFI4U1xT8FQYVDhUpFVYVgBWTFZAVhBV8FXYVbhVhFVYVUBVJFTkVIxURFQoVBxT7FOUU1hTgFP8VGBUMFNkUmBRlFEkUNxQfE/4T3BO4E4wTXBMqEwoTAxMNEwwS8BK6EnsSQhIUEe8R0hG6EacRkxF7EWMRURFJEUERMhEZEP8Q8hDxEPAQ4xDNEL0QwxDhEQYRIBElERoRDBEAEPgQ8BDqEOoQ8hD+EQcRBxEBEPkQ9RD2EPUQ7xDdEMMQpxCVEJIQoRC+EOQRChEfEQgQpw/xDvsN/A0lDI0MHwu7C08K5wqTClQKFAnDCWwJMwk1CWwJtQntCg8KOwqXCy8L8Ay3DWoOAA5+DucPOQ9tD34PeA9qD2MPaQ93D4YPkw+gD6wPrQ+WD2YPLQ8FDwAPGw9BD18PcA98D4wPnA+fD48Pbw9ODzYPJQ8XDwYO8Q7YDroOkw5mDjoOHQ4UDhwOLQ48DkUOSQ5IDkYORw5TDmoOfg52Dj8N2g1fDO8MnAxhDC8L+gvCC4kLTwsQCtAKlwppCkIKGwn0CdwJ4goDCigKPgpDCkkKWApmClgKIAnHCWYJCgivCEoH4Ad/BzYHBAbbBq8GfgZOBiAF6wWfBSsEfgOPAmABA/+Y/kL9HPwv+3j67PqA+i75/fn1+hX6S/pz+nH6Qvn3+aj5XvkW+NH4mvh9+Hz4jPic+K74yvjy+Rf5IPj5+KT4MPew9zL2vvZa9gX1uvVw9Sf05fSx9If0XPQn8+rzr/N/81fzMfMH8t/yvfKj8ojyZ/I+8hTx7PHE8ZzxefFi8VXxTPE/8TXxQfFw8bjx9PH48bPxP/DR8I3wb/BX8Cvv+u/28Evw9vHB8mjyy/L+8yfzXfOQ86jzpfOr8+P0UvTO9Rf1CPSx9Ejz/PPX87rzd/Ls8hXxBO/Y7rDtq+ze7E7r8+u665Treuts623rd+uE65Hrn+uv67rrteuV61nrDeq76m3qJenl6bDph+lp6VDpOeki6Q3o/ejz6PDo7ejk6M3oqeiG6HXogOil6NnpHumA6g3qx+ud7G/tGu2E7ZvtXuzj7FTr1et16yXqz+ps6g3pxOmT6WzpRukq6SzpUumP6dDqFOpq6t/ra+v27GbssOzd7PntC+0b7S7tR+1k7X7tku2o7cjt9O4i7kHuQu4f7d7tiO0x7OzsyuzL7N3s4ezC7IHsN+wG7APsL+x47MftDu1K7YPtw+4S7m7u0e8s73DvmO+x79XwGvB98OvxTPGg8fTyVvK/8x7za/Os8/P0RfSc9PH1SfW29kb28fec+C74l/jf+RT5SfmH+cn5/PoO+f755Pnd+fr6MPpp+pn6yvsL+2H7wvwj/IH84/1L/bj+Hv58/tT/Kv+B/9sAOwCfAQIBYQG9AiECkwMPA4AD2AQZBFAEjQTPBQsFOwVlBZYF1wYmBngGxQcGB0EHewe9CAoIWgihCNMI9QkYCUgJhAm2CcYJsAmJCXIJfgmmCdAJ5gnmCeMJ9AoiClsKhwqXCpMKkQqiCskLAgtEC4gLwAvcC9YLvQuvC78L6AwVDDcMWQyMDNMNGw1JDVoNZw2NDc4OFA5FDmMOhQ7EDyQPjA/fEA0QHhAiECUQGA/bD08ObQ1SDCkLDAn4CNwHvwbTBlgGbAbwB5kIIghzCJkIrAi2CLEImQhyCEUIFwfpB7kHiQdZByUG6QajBlwGGgXhBasFdAU9BQkE3ASzBIwEYwQ6BA8D4AOrA3MDPAMIAtYCogJtAjoCDQHlAbwBkgFmAToBDwDjALQAhgBcADYAEP/n/7z/kv9s/0r/J/8C/tz+vf6o/pz+k/6H/nn+bP5i/lj+SP4s/gX91f2k/XX9Sf0f/Pj81Py0/Jb8fPxn/Fb8S/xF/EL8Pfwz/CH8Cfvs+837qft8+0f7Evrn+tT65/sk+4f79vxF/Ev79fti+s76dvpt+pr60/r/+x37OftU+2T7Zvtj+2r7ffuO+477ffts+2X7Z/tl+1b7P/su+yb7H/sS+v/68vry+vr7A/sI+wr7EPsZ+yD7Ifsi+yX7Kfsm+xT69/rf+tn65/r++wz7C/r++vP68vr7+wb7C/sK+wT6/fr4+vf6+/sH+xj7Kvs6+0X7SvtO+1D7UvtS+1D7T/tR+1b7Xvtl+2z7b/tw+2v7ZPtb+1T7UvtV+1z7ZPtq+2z7a/tp+2T7X/tY+1L7TPtE+zf7JfsQ+v368Prp+uP62vrL+rj6pPqT+ob6fvp6+nj6dfpt+l36Rvor+hL5/vny+e757/nx+ez52/m++Zr5evlj+Vr5WflY+VD5Pfkf+Pv42Pi7+KX4lviI+Hj4YvhF+CP3//ff98L3qfeS9333bvdm92D3Uvc49xX28PbR9rn2pPaL9mz2R/Ye9fL1yvWr9Zn1jvV/9WL1NfUB9ND0qPSJ9HD0V/Q79B3z/PPc873zofOH82/zWvNH8zLzGPL68t7yx/K28qbyk/KA8nHyZvJc8k3yOvIp8hvyEfID8fPx4/HZ8dLxyPG78a7xpPGc8ZDxffFn8VbxTvFL8UXxO/Eu8SPxGvEU8RPxGvEl8S3xK/Ei8R7xJfEx8TXxL/El8STxLfE58UDxRvFV8XPxm/G78cfxvPGm8ZjxrfH28nHzBPOI89zz/vP98/Lz5vPf8+f0FPR39Qv1r/Y49oj2nvaN9mz2UPZB9kL2TvZh9nb2kfa09tr28vbx9tr2wfa+9tj3A/ct90/3bveO96v3ufe297H3xff/+FP4pfjd+PP47/jY+K34b/gp9/P34Pf4+DD4dvi7+PL5Gfky+Uz5dPmw+fP6JPo2+jT6M/o/+kX6JPnL+Uj4wPhT+An3z/eV91f3H/b39t/2zPa09pX2c/ZT9jj2IPYG9ef1xPWo9Zn1mfWd9Zn1h/Vm9Tv1CfTS9Jv0afRB9CL0A/Pf87XzjPNq81HzPPMp8xbzBfL38u3y6fLp8u3y9PL+8w7zJfNB813zePOP86PzsvO888PzyvPS89fz1PPG87bzqPOc84jzY/Mx8v3y0vK08p/yjvKF8oTyg/J38mHyTfJQ8nLyo/LN8t3y1vLE8rHynvKO8orynvLM8wnzRvN285XzovOZ83jzQvMH8tryyPLQ8uby+fL88ujyvPKA8jzx/fHJ8aLxh/F58XTxc/Fv8WDxRvEi8PPwtfBn8Bbv1u+4777v2u/68BXwLvBI8GPwePCE8InwjPCR8JXwlfCS8JPwmfCj8K/wv/DX8PnxIvFJ8W3xjvGv8dHx9fIj8mTytPMG80fzcfOR87nz6vQW9Cv0M/RJ9Ir08vVg9af1tfWb9Xv1cPWB9aX10fYB9jT2avae9tD2/vct92D3lffN+AX4QfiE+M35GPlg+aX56vo1+of63vsz+4b72Pwu/Ib82v0o/XP9vf4L/ln+pP7s/zb/hv/YACYAagCqAO4BOQGHAdICFQJTApEC1AMYA1wDnwPlBDAEfQTKBRQFXgWuBgUGYwbABxkHbwfGCCIIfwjZCSwJegnIChwKdArPCykLgAvUDCUMcwy/DQsNWQ2oDfUOPg5/DrkO7w8pD20PuxANEFkQmRDXER0RdxHgEksSpxLxEzATaxOnE+YUJBRlFKcU5xUdFUYVZRWCFaQVxxXkFfYV/xYMFiYWThZ1FokWhBZwFmAWYBZpFmYWShYYFeQVwBWwFaYVkhVxFUkVIxUIFPcU6hTZFL0UlxRrFEUUKBQRE/YT1BOyE6AToROuE7MToRN4E0ETDRLnEtQS0RLVEtMSxRKxEqMSphK3EsgSzxLMEs0S1xLkEuoS5xLxEyATdxPWFAkT7hOLEwwSnhJYEjISGxIHEfsSAhImEmkSzRNKE88URBSZFNIVABUyFWYVjBWYFZEVhxWJFZIVmBWUFYcVdxVgFT4VExTrFNIUxhS8FK8UqxS/FOcVCBT/FMMUbhQiE/UT5BPcE9MTxBOuE28TPhMGEtQSsxKjEpUSfBJXEi0SCBHrEdYRxRG0EZ8RhRFnEU0ROxEyESoRFxD5ENkQxBC9EL0QuRCqEJUQhhCIEJgQrhDBEM8Q2xDoEPMQ+xD7EPoQ+hD+EQMRAxD9EPUQ9BD9EQoRDxD+ENkQrRCOEIsQoBC7EMoQxBCkEF8P4Q8hDjQNTAyfDDwMBgvLC3ILAgqUCjAJyQlZCPoI1QkCCWYJwgnnCdsJ2QobCrQLhgxfDRkNsQ4zDqcPCw9SD3YPeA9oD1YPTw9SD1kPYA9mD2oPaA9VDyoO8g7DDq8OuQ7ODtoO2Q7UDt0O9A8MDxQPBg7uDtwO1w7cDtwO0Q65DpsOeQ5UDi8ODQ34DfUOAw4aDiwOMQ4mDhYODA4TDisOQQ49Dg0NtA1IDOMMkQxNDAwLxwuEC0YLCwrMCoYKQAn/CcYJlAluCWEJdQmeCcUJ1wnbCeYJ/woXChIJ4AmQCTkI5giQCC4Hygd2Bz4HGgb3BswGnAZsBjsF/gWpBTYEnQPRAsUBewAQ/qz9ePyI+9n7XPr8+rD6fPps+ob6ufrl+ur6v/p0+iH51PmN+Ur5Efjr+Nn41/jd+O75EvlI+X/5oPmZ+Wb5C/iR+AT3cfbl9mb18/WJ9S706PS89J70efRE9ATzx/OY83LzS/Md8u3yw/Kf8nzyVvIq8f7x0vGo8YPxZfFS8UjxQvE/8UPxVvFy8YXxcPEi8KXwH++975Dvhe9270/vKe8777TwivF/8kXyuvL28yvzcvO68+Pz6vPz9Cz0nfUW9Vj1QfTn9H/0NvQX9Arz7vOo8yLyT/Ey7+Tul+187LDsLevb65/rcOtN6zvrN+s56z/rS+tb62jrZ+tO6yDq6eqy6oDqT+oc6evpwemj6ZHph+mE6YPphemJ6YvpiOl66WHpS+lN6Xvp1epI6r7rLeuk7Dfs5u2c7jTuke6l7nHt/u1g7LTsFeuR6xvqouoh6avpUuke6P7o4+jM6MLo0uj66TXphun26orrNuvf7Gvsze0H7STtMO067U3ta+2L7aHtqu2w7cLt6O4b7kvube567nHuU+4j7e7tw+2s7aHtku1o7R/sxOx27FTsa+ys7PrtPu1x7Z7t2O4j7nru0e8c71Pvee+c79HwJfCR8QDxXfGq8ffyVPK88x3zZ/Og89v0JPR39M71L/Wm9j727feW+CD4gvjF+Pz5Ofl++cL58Pn6+eX5yfnD+d/6EfpK+oH6v/sO+2z7zfwq/If87P1Y/cT+J/6D/t7/PP+a//gAVgC5AR4BfwHZAjMClAL8A18DswP3BDcEegS/BP0FMwVoBaUF6wY1Bn4GxQcJB0wHiwfICAsIVAiZCM4I8wkYCU4JmAniCgsKBQnbCbAJogm4CeAKAQoSCh8KOgprCqMKzArWCssKvQrDCuQLIAtwC8MMAQwTC/sL0wvAC9UMBAwwDFAMeAy/DR4NdA2eDaANnw29Df4OQw5zDo8OtQ7+D2YPzxAZEDoQPhA3ECoQCA+yDxEOKA0UC/gK5QnSCLQHoAbNBnUGpAcuB8kIPQh9CJ0IrgiyCKMIhAhdCDcIDQfbB6EHaQc3BwYGywaBBjEF6AWpBXIFPQUKBNsEsQSJBGMEPQQaA/cDzQObA2EDJwLyAr8CiwJWAiQB+AHPAaYBegFMAR8A8gDFAJYAaABBAB///v/Y/7D/iP9l/0T/IP73/s/+sP6f/pn+lv6P/oX+e/5y/mn+WP49/hf96P22/YL9T/0d/PD8yvyr/JL8e/xn/FX8R/w//Dz8OPww/B/8B/vs+9P7uPuR+1v7Hvr0+v37Tfvd/Ib9DP00/OL8LPtW+qz6Xvpn+pz60vr4+xf7OPtY+2j7Z/tj+237hfuc+6H7lfuI+4T7hft/+2z7Uvs/+zT7K/sd+wv6//r8+wH7CPsO+xb7H/sk+yL7GfsR+xH7Gfsd+xX7Afrt+uX67/sC+xH7E/sJ+v36+fsB+wz7E/sP+wP69/rv+u368fr6+wj7Gvsr+zf7P/tD+0b7SPtI+0b7RftG+0n7TftQ+1L7VPtW+1b7U/tM+0X7QftC+0b7TPtR+1P7U/tR+037SvtI+0b7Q/s9+zL7I/sR+v/68Prk+tn6zPq7+qf6k/qD+nj6cfpq+mL6WPpN+kD6MPoe+gv5+vnu+ej56Pno+eD5zfmt+Yf5ZPlO+UX5RvlH+UL5MfkU+PH4zfiu+Jj4ifh/+HP4YPhD+B/3+ffV97b3m/eA92j3VvdN90r3Qfcs9wv26PbJ9rP2oPaI9mr2RfYa9e71x/Wq9Zr1j/V99Vr1J/Tv9L30l/R69GL0SfQt9A/z7vPL86rzi/Nu81TzPvMr8xjzAPLj8sTyqfKV8oPycfJf8lDyRvI88i/yHfIK8frx7vHi8dPxxfG58a/xovGS8YLxdfFs8WHxUvE/8S/xJ/Ej8R7xFvEM8QHw9/Dx8PDw+PEC8Qbw//Dz8Ozw7/D58P7w/PD38PnxAvEN8RfxIvE28VLxcPGJ8Zbxl/GL8XzxffGn8gfyjvMX83nzqPOx86zzqPOo87Lz1vQn9Kj1RfXd9lH2kvah9o72afZH9jP2L/Y29j72R/ZW9mz2gvaP9o/2ifaK9pz2vvbm9w33MfdQ92j3d/eA95H3uPf6+E34mvjM+Nj4wviU+F34KvgL+Aj4IfhF+GT4efiO+K743vkZ+Vj5mPnW+gn6IfoZ+gD58fn6+gn59/mp+Sr4n/gv9+P3rPd29zz3CPbl9tD2v/ak9oD2WfY49iD2DPX19dn1u/Wk9Zr1mfWY9Yz1cfVK9R307vS/9JL0bPRN9C/0DPPg87PzjPNv81rzSPM28yfzH/Mc8xnzFfMS8xLzF/Mk8zjzVPN085XzsfPI89vz6fPz8/nz/vQG9Az0CfP78+Pzy/O1857zffNQ8x3y7vLK8rDynvKS8oryg/J28mbyXvJp8orytPLX8uby5PLY8snyu/Kz8rvy2/MO80fzd/OT85rzj/Nz80rzG/Ly8tny0/Lc8ury7/Li8sDyifJI8gfxz/Gh8X3xZvFe8WXxbvFq8UzxFPDM8H7wMO/l76fvhO+E75/vxu/l7/rwCPAa8C3wPvBI8E3wUvBW8FbwUPBK8ErwVPBj8HXwivCn8M/w/fEr8VbxgvGu8dfx+/Ie8knygfLA8vvzMfNp86zz8/Qq9D/0PPRE9Hf01fU79YH1kvV89V71VfVl9Yf1sfXh9hf2UfaK9r727PcY90n3gPe89/r4N/h0+LL48vk0+Xb5vfoL+mL6vvsZ+2/7wvwV/Gn8u/0I/VH9mv3m/jL+fP7E/w//X/+x//4AQwCCAMQBDAFaAaYB7gIzAngCvQL/Az4DfQPDBBAEYgSyBP4FSwWcBfUGUwaxBwsHYwe9CBoIdwjRCSQJdQnICiEKfwrdCzsLlgvuDEIMkAzaDSINbA24DgQOTQ6RDs0PBQ8+D30PwxANEFEQjBDGEQsRYxHKEjASiBLPEw0TTBOME80UDRRPFJAUzRT+FSAVOhVUFXMVkhWqFbkVxhXcFf0WIhY8Fj8WLBYUFgcWCBYNFgIV4xW9FaQVohWpFaMVgxVOFRgU8BTcFNMUyhS3FJYUaRQ4FBAT+BPsE98TyROrE5ATgRN5E2oTShMcEu4SzxLJEtYS6BLuEt0SuBKNEnMSdhKQEq8SwhLHEsYSyhLUEt4S6hMEEzoThRPJE9sToxMuEqYSNxHzEc8RtBGWEX8RgxGvEgMScxL0E3YT7hRTFKUU6BUlFVsVfxWOFY8VkhWgFbUVwRW8FaYVhRVbFSYU6RSxFIgUcBRgFFAUSBRYFIAUqhS1FI4URRP6E8kTtxO0E7ETpxOSEzQS+xK/EocSXRJCEi4SGRH/EeQRzRG/EbYRrBGcEYARXRE4ERwRDBEGEP8Q7hDQEKwQjBB5EHUQdRBwEGEQTRBDEEwQahCVEMAQ4hD3EQEQ/hDzEOUQ3BDdEOUQ7BDuEOwQ7RD5EQoREhEAENIQnhCBEIwQrhC+EJoQPA+9DzYOrA4QDWAMtgw6C/wL5QvGC4MLIQq1CkgJ0QlTCO8I1wkaCZEJ7An5CcsJrQnnCokLaAxHDP0NiQ38DmYOyA8XD0oPXg9YD0QPMQ8jDxoPEw8ODwwPDQ8HDu0OvA6CDlQOOw4vDh0N/w3jDd4N+g4qDlQOaA5qDmwOeA6LDpQOiQ5tDk0ONQ4jDg4N8Q3TDcYN0Q3vDgoODQ3yDccNpQ2cDa0NxA3HDaYNYA0EDKYMTAv1C58LTwsOCuEKvgqUClsKFwnQCY0JUQkhCQYJBwkaCSwJMwk4CUwJcgmWCZsJeQk9CPkIsQhfCAAHpgdoB0oHNwcWBt4GmQZUBhAFxwV0BRkEqwQPAygB7QB//xb95Pz+/F377vub+1r7KfsP+w77H/sv+yv7C/rV+pX6UvoL+cL5fvlO+Tf5OflN+XP5pvnf+hP6Nfo++in58vmX+Rn4hPfk9z/2lvXz9Wj1BvTR9LX0mPRp9C/z+PPL86Hzc/M+8wny2fKs8n7yTvId8e/xxPGc8XjxWvFE8TXxLvEz8UPxVvFV8SfwxPA777HvRu8L7vbu6u7O7qPuie6y7z/wJPEm8gHylPLx80Hzm/Px9Cn0QvRd9J71B/Vt9Zz1gfU09N30k/RW9B/z7vO+83ny9fIQ8NDvau4n7TbsmOwx6+LrnOtj6zrrIOsN6wDq++r/6wbrB+r56uDqxOqs6prqh+pt6kzqKOoI6fTp7un36gnqIOo16kPqSOpG6kbqXOqf6xvrw+xz7Qbtcu3J7iXuj+7w7yjvI+7q7o/uIu2n7SHsl+wO64Tq9Opg6dXpZekY6OToveif6JDol+i06ObpLumV6h3qwOtr7Ansi+zm7RztNe1E7VrtfO2h7bztye3R7d/t+u4e7kTuae6N7qnut+607qTukO6B7nbuZO477fTtku0v7Ors3e0D7UPtf+2s7dTuBu5J7pLu1u8P70Dvcu+r7/XwUPC48R3xdPG/8g3yaPLN8yjzbfOi89b0FPRd9K/1EvWU9jf26/eO+Ar4W/iW+NP5IPl6+c76AvoG+ef5wfm0+c36APo7+nr6w/sd+3/73vw3/JP8+/1r/db+Nf6P/u7/Vf+7ABoAcwDNAS0BjQHqAkMCngL4A0sDkwPUBBkEZgSyBPYFMgVwBbQF+wY9BnoGuQb+B0YHiAfCB/4IQQiHCMQI8QkZCVIJown+CkAKUAoxCf8J3AnaCfMKFQozCk4KcQqgCtAK7wr2CuwK4grrCw0LSwubC+sMIwwsDA0L5AvXC/AMHQxFDGoMpA0IDYIN5A4JDfsN5w32DikOYw6ODrEO5Q83D54P/hBCEGMQZhBTECcP3A9kDrUN0QzHC68KlAl3CFwHXwa0BoQGzAdXB+IIRAh+CKAIswiwCJIIZQg7CBsH+AfGB4YHRgcRBuEGqAZdBgkFuAV0BTwFCgTdBLUEkARqBEIEGwP4A9kDswOCA0kDDwLaAqgCdgJDAhMB6AHAAZUBZwE2AQYA2ACrAH4AVAAxABP/9f/U/7L/kP9x/1D/K/8B/tr+v/6v/qj+ov6Z/o7+g/56/m/+Xv5F/iL9+P3I/ZP9XP0m/PX8zvyu/Jb8gfxu/F78UvxJ/EP8PPwx/B78Bfvt+9j7wfuf+2n7K/sG+yH7kPxD/QP9hf2M/Qv8LvtF+qD6Yvp4+q362vr1+w77MftX+2/7c/tw+3f7jPui+6z7qvum+6X7o/uY+4L7a/tZ+037Qfsx+yD7FfsS+xH7EfsU+xz7Kfsx+zD7JfsZ+xL7EfsS+w77BPr2+u367vr5+wr7FvsY+xH7C/sK+w/7EvsP+wb6/Pr2+vP68vry+vj7BfsV+yP7LPsw+zP7Nfs2+zf7Nvs3+zn7Ovs6+zj7OPs5+zz7PPs4+zL7Lfsp+yr7L/s2+zz7QftB+z77PPs6+zr7OPsx+yf7GfsJ+vf65vrW+sj6u/qs+pr6ifp6+nD6Z/pc+k76QPo1+i36I/oV+gX59fno+eH53fnZ+c/5u/mc+Xb5VPk9+TX5Nvk4+TH5H/kC+N/4vPic+IP4dPhr+GL4Ufg3+BX38PfO97D3lPd191j3Q/c79zz3Ovcq9wz26PbJ9rL2nvaE9mL2OPYK9d/1vPWj9Zb1ivV19U/1G/Tk9LT0j/Ry9Ff0PPQg9ALz4vO+85vze/Ne80TzLvMb8wjy8fLU8rPylPJ88mvyXPJM8j3yMvIq8iDyEPH98enx2fHL8b/xsvGo8Z3xkfGB8XHxYvFV8UjxOPEl8RbxDfEI8QTw//D48PDw6fDj8OHw5fDq8Onw4PDV8M7wz/DV8Njw1/DX8Nzw4/Dq8PLw//EU8S7xRPFU8WHxbvF08XDxa/F/8cHyMPKw8xnzWfN184DzhvON85bzrfPl9EX0xvVX9d72SPaH9pX2fPZQ9ij2EvYO9hD2DvYL9g72HPY09kz2XPZk9m32f/af9sb26fcD9xX3KfdI93b3sff0+Dn4c/iY+Jv4efg89/n3zvfR+AD4Rvh9+I34fPht+IH4wfkb+XP5uvnw+hL6GPn++c/5rPms+cb50Pmi+Tf4r/g39+P3q/d690b3Ffbv9tP2t/aR9mP2NPYQ9ff15PXT9b/1q/Wc9ZT1j/WE9Wz1R/Uc9PL0zfSt9JL0efRc9Dj0CvPY863zkfOB83PzYfNP80TzQ/NK81HzVfNY81vzYPNm83Hzg/Of88Dz3/P49Az0HPQn9C70MfQ09Db0NPQm9Avz6/PM87PzmvN781PzKPL+8tfytPKX8oLyd/J18n3yjfKl8sDy1/Ll8ujy5vLh8t7y4fLt8wTzJfNI82bzd/N5827zV/M68xvzAvLx8uny5/Lo8ury5fLP8qPyY/Ia8djxovF38VbxRPFH8VvxbPFg8Svw0vBt8BHvx++S73Lvae9375Xvte/L79fv4O/r7/fv//AD8AjwEfAb8CDwHfAY8BnwI/Az8EXwW/B68KXw1/EL8T/xdfGr8dvyAfIe8jzyYvKR8sLy8vMp82zztfPx9A/0F/Qi9Ev0lfTn9SX1QfVC9T31QfVS9W71kvW/9fb2M/Zz9q724vcP9zz3b/eo9+X4IfhZ+I/4yPkH+Ur5k/nj+jv6mvr6+1T7qPv5/Ej8l/zk/S79eP3D/g3+Vv6e/uf/Nf+E/9EAFwBbAJ8A5gEvAXcBwAIKAlUCngLjAyMDZAOsA/oETQSeBO0FPAWPBecGRAahBv0HWAe1CBIIbgjGCRsJcAnJCicKhwrlC0ALlgvqDDoMhwzRDRoNZQ2xDf0ORQ6MDs4PDQ9JD4gPyxAQEFMQkRDQERgRbRHKEiESaxKsEu0TMxN7E78T/BQ1FG4UoxTPFO8VCBUgFTsVVRVqFX0VkxWwFc8V5BXnFdYVvhWtFasVsRWxFZ8VhRV1FYMVqhXPFdQVrBVnFSAU7hTTFMMUrxSNFF0UIxPtE8gTuxO+E8ITuhOkE4sTcxNZEzMS/xLGEp8SmhK3EuUTDRMWEvkSwRKIEmcSaRKFEqgSwhLQEtcS3hLnEvQTCRMvE2MTlhOuE5ITPxLMElwSBhHMEZwRZxE4ESkRUhGzEjQStBMlE4cT5hRDFJoU4xUcFUcVZhV5FYYVkhWiFbEVtBWiFXkVQBT8FLEUZRQkE/kT5RPcE9MTzRPZFAAUNRRbFFsUNhQCE9YTvhOwE6ETiBNjEuESpxJzEkgSKhIUEf8R5xHKEaoRkBF9EXERYxFOES4RBxDiEMcQuBCxEKsQnxCJEGoQShAzECsQMBA3EDQQKBAiEDIQXRCaENQQ+REFEPwQ5hDLELQQqRCsELwQzxDdEOIQ4RDkEOcQ4BC/EIQQSxA7EGQQphC+EHAPuA7PDfsNYgz0DJIMMwvqC8YLvQutC3sLLQrUCnYKCwmSCS8JEQlKCa4J8wnsCbUJnAnjCo8LbgxADOcNZA3LDicOfA7GDwAPJw83DzQPJA8SDwAO7g7eDtQO0w7SDsEOkw5PDgoN0g2nDXgNPQ0EDOoM/w08DYINtQ3QDeMN/Q4dDjMOMA4XDfgN5A3dDdUNwg2sDaMNtw3dDfsN9A3CDXsNQA0nDTINSg1UDT4NBgyzDFEL6Qt/CxsKyQqTCnoKbgpbCjYJ/gnACYMJRwkPCN0IuQifCIsIfgiCCKII2AkJCR0JDwjqCL4Ihwg9B+QHkgdgB00HQAccBtoGhQYpBc0FcwUmBOsEsQRHA30CTgDo/5P+hP3C/TX8w/xj/BX72/ux+5H7d/tf+0n7MfsW+vL6v/p4+iP50vma+Yn5oPnY+iL6b/qu+tf66/rv+uP6wfqA+h75n/kI+Fb3iPaw9ez1XPUI9Nv0t/SL9Fr0K/QA89DzmfNg8yry+PLF8ozyUPIZ8enxvfGU8XDxU/E78SjxG/Ec8SvxMvEP8K3wGO997wvu1u7H7rvumu5k7jTuLu5z7w/v9PD38eTymvMd84Xz4/Qy9Gn0i/S29QD1YvWy9c/1svV29TP07fSY9Dbz4vOy85XzUfKt8Z3wUe8W7iDtduz67I/sKuvP64XrSusa6vLq1erF6sLqxurK6szqzerQ6tXq2OrU6sXqq+qN6nXqbup86pzqxert6xLrN+th65zr8exs7QvtvO5b7srvBe8h7z3vX+9z71vvEO6o7kft/u3D7YPtLuzG7E/rzutD6rTqKumu6UXo8ei16JPojuig6MTo+elC6abqKOrA62Lr+uxz7MHs5uz07QHtHe1E7W7tle257dzt/O4Y7jHuTe5v7pHur+7H7t3u9O8K7xjvFO767sPucu4S7b3tkO2T7bft4+4E7iHuR+577rTu5+8W70vvju/e8DbwjvDl8TrxjvHi8jryl/Ly80HzgPOz8+X0GvRV9J31A/WR9kH29feK9+/4Lfhh+Kf5C/mC+e36Kvoq+fv5xPmr+b/59Po0+nn6yfso+4777vxG/KT9Dv1//ef+Qv6Z/vv/av/aAD4AlgDrAUQBogIAAl0CuQMOA1UDkQPKBA4EXQStBPQFMwVzBbsGAwZDBnwGtgb5B0AHfgezB+kIKwh3CLwI8gkdCVIJoQoBClgKigqLCmgKPAofChkKKApECmcKkAq8CuIK+gsECwkLFQsvC1gLjQvIC/8MIgwjDAoL8QvwDA0MNgxeDJAM5A1kDewOSg5gDkIOIg4iDkIObg6aDtEPHg9+D90QKxBkEIgQkBBtEBkPmw7/DkUNaQxmC0MKFAjoB9gHAgaNBo0G7Qd1B+4IPghwCJYIrQioCIAIRggVB/QH1wepB2oHKQbyBsEGhwY7BeUFkwVNBRQE5AS8BJsEfARZBC8EBAPdA7gDkQNhAywC9wLHApoCawI6AgkB3AGxAYQBUwEhAPAAwgCWAG4ATAAxABkAAP/j/8X/qP+L/2r/RP8c/vv+4/7T/sT+s/6g/pD+hP57/m/+Xv5F/iX9/v3R/Z79af01/Qf83/y9/KH8i/x8/HL8avxh/FX8Sfw5/CX8Dvv4++L7y/up+3b7PfsZ+yr7gPwL/J78//0A/JX74Psi+pz6bPqD+rb64Pr5+w/7L/tX+3f7hfuJ+4/7nPus+7b7u/u/+8D7vPut+5f7hPt4+2z7W/tG+zb7L/su+yz7Jfsg+yT7L/s7+0D7PPsx+yT7F/sN+wb7Afr5+u364/rn+vv7F/sr+y77JPsW+w77C/sI+wP6/vr7+vf68vrs+uv68/sB+w77FfsV+xX7F/sa+x37H/sg+yH7Ivsi+yH7IPsh+yP7JPsj+yH7H/sd+x77JPst+zn7QvtG+0P7Pfs3+zH7Kfsd+w/6//ru+tz6yfq4+qz6o/qa+o76gPpy+mj6XfpP+j/6Mvoo+iH6GPoI+fX55PnZ+dH5yfm/+bL5n/mE+WP5RPkw+Sj5KPkn+R35B/jp+Mb4oviC+Gj4V/hN+Eb4OPgi+AX35/fM97P3mPd391b3Pfc09zf3Ofcs9w325vbC9qf2jvZu9kX2F/Xp9cH1pPWQ9YX1evVj9T31DfTd9LP0kPRv9E70L/QT8/jz2/O685fzdvNZ8z/zKPMS8v3y5fLH8qXyhvJw8mHyVPJE8jPyJPIb8hPyB/H18eDxzfG+8bPxqfGg8ZfxjfGA8XHxYfFQ8TzxJvES8QLw+fD18PPw8PDr8Obw4PDZ8NXw1PDU8NHwyvDB8LzwvPC88LvwuvC+8MbwzfDP8NDw2fDt8QTxFfEf8SvxPvFT8V/xYvFu8Zzx8/Jk8tHzJfNb83zzjvOT85LzlvOt8+L0NvSm9Sn1rvYg9mf2ePZa9ib1+fXg9dr12/XZ9dj14PX29hT2LPY09jT2PPZW9nz2nfax9r/22vcO91X3nvfa+Ab4Jfg0+Cz4B/fM95L3dveN99T4Lfhu+H34ZvhS+Gv4t/kY+Wn5nfnA+d757/ng+bD5fPls+Yf5qPmd+Uv4zPhP9/X3vveV92j3NvcH9tz2sPZ99kb2EvXo9cv1tvWn9Zn1jfWD9Xn1bfVY9Tr1E/Ts9Mr0sfSg9JL0f/Ri9Dj0BfPU87PzpPOf85fzh/N082rzbPN484fzlvOm87TzufOz86jzpfOz89Dz8PQM9CP0NvRI9FT0WfRa9Fv0WfRN9DP0EPPt89LzvfOn84nzY/M28wfy1/Ks8o3yg/KS8rXy3fL68wfzA/L58vHy7vLx8vzzEPMs80zzZPNu82jzWfNG8zHzGfME8vry/vMK8xLzD/MC8vTy4vLE8pHyS/IA8b3xhfFV8TDxHvEp8UfxWvFC8PXwhvAV773vhu9q72HvZ+9475DvpO+w77bvu+/C78jvye/J783v2e/n7+/v8O/u7/Hv/fAQ8CXwPfBf8IrwvfDz8SjxYPGY8c3x+PIb8jzyY/KM8rHy0vL08yLzW/OU87/z2vPx9BP0RvSC9Lz07PUS9S71QfVO9V71ePWh9dj2GPZb9pv21fcH9zH3XPeM98L3+fgu+GP4nPjc+ST5bvm9+hL6b/rQ+y/7h/vX/CP8b/y6/QX9T/2Z/eL+Kv5y/rv/Bv9R/5r/4wArAHUAvwEHAU8BlwHiAi8CewLDAwoDUQObA+kEOASIBNkFLgWGBd8GOgaVBvEHTwevCA0IaQjBCRgJcQnOCi4KjAriCzILfAvEDA0MWQynDPgNSg2ZDeQOKw5xDrcO/A89D38PxBANEFcQoBDoETQRhBHTEhsSWxKaEuATLhN5E7gT6RQUFEIUcBSZFLgUzxTiFPUVBxUaFTMVUxV1FY0VkBWAFWcVVRVVFWMVchVxFV0VRBU/FV4VmRXRFeUVxhWEFToU/hTVFLUUkRRgFCAT2xOiE4UThhOaE6sTrhOhE44TeBNXEyAS2BKUEm8SehKtEu0TGxMhEv4SxBKREngSfhKWErASxBLUEuQS9RMIEx8TQRNvE5wTsBOWE0wS5BJ+EiwR8RG5EXURKRD2EP8RVhHnEoES/BNPE5MT5BRIFK0U/BUrFUQVVBVjFW8VdBVxFWYVTRUiFOIUjhQwE9ITfxNFEywTMhNIE18TcROKE7MT6xQeFDUUKRQDE9YTrxOQE3ATSRMYEocSWBIyEhcSBhH1EeARwhGeEXkRVhE4ER8RCBDvENMQtRCZEIAQbBBdEFMQTRBGEDoQJhAUEA0QFBAhECsQLBAyEEsQexC3EOgQ/RD3EN0QvhCiEI4QhRCLEJ0QtBDHEM4QxxC3EKIQfhBED/gPuw+6EAcQeBCxEF4PdQ5ADSsMegwlC/kL0AuoC5ILjguDC18LIwriCp8KSwnjCYEJTwlhCZgJugmlCXoJegnVCoMLTwwHDJsNFQ2ADd4OLA5tDqcO2w8EDxoPHA8TDwMO7g7WDr8OsA6jDosOWQ4QDcANeg08DPgMqAxZDCsMNQxxDL4M+g0ZDSsNSA14DawNzQ3SDb8Npg2UDYYNfA13DYMNog3FDdANrQ1eDQQMwwyvDMEM3gztDNsMpgxVC/ALgwsYCroKcwpHCjMKJwoUCfIJwwmSCWMJNgkCCMcIhghFCAwH5gfjCAYIQwh7CJcIlQiFCHIIVggjB9kHjgdZBzsHIgb7BrwGbAYNBaAFMwTgBLkEowReA68ClQFSADr/dv7v/nT95v1P/Mz8cPw0/Aj73fuy+4z7cPtb+0L7FfrR+n76MfoA+fv6JPpy+tL7LPtt+477lfuM+3j7VPsb+sv6afnx+VP4iPeg9sD2DfWR9T70/PS/9Iv0X/Q08//zxPOK81nzKfLx8q/yavIt8ffxxPGU8W7xVvFF8TLxHvER8Q7xAvDH8Evvpu8U7sPutO667qXuau4l7gLuIO6G7y/wCvD/8ezys/NL87z0FfRZ9In0rvTf9Sv1h/XO9eD1vvWC9UT1AfSu9E3z/vPc893zyvNo8qHxm/CU77jvDO557evtXezX7F/r9+uc60/rEerm6tDqz+rd6vTrC+sd6yfrKusn6xzrCur26uvq9usc61brmuvd7CDsbezO7ULtw+5F7r3vIO9j74Lvg+9773vvgO9y7zfuz+5Y7fntx+227arti+1W7RPsw+xg6+LrSeqh6gDpdukQ6NDos+ix6MLo4+kU6VnpuOoy6sHrVOvR7CTsR+xM7EvsW+yD7L/tCO1U7Zjtyu3q7gDuGe437lbucu6T7sHu/u8571/vae9d70LvGO7c7pjuYO5J7lDuYu5w7nruj+627ufvF+9G74DvzfAq8Ibw1vEc8WPxtvIW8nry1vMk82TzmfPM8/z0KPRV9JX0//WZ9lD2/Pd99834Afg7+JH5B/mP+gj6TPpJ+g75xvmi+bP56/ow+nj6yvsq+5L79fxQ/LD9G/2M/fT+Tf6k/wf/e//zAGAAvgEVAWsBwwIcAnYCzgMgA2MDmgPQBBIEYgSzBPsFOwV8BcQGDgZRBo0GyQcKB0kHfgesB94IIQhxCL0I+QknCVkJoAn8Cl4KrwraCtcKsAp9ClQKRApQCnIKnQrHCugLAAsUCzALWQuJC7gL3Qv6DBAMHAwaDBAMDAwcDD4MZAyODMsNLw2zDi4Ocw54DlkORA5LDmgOjw7GDxkPgw/rEDYQYxCGEKUQqxB2D/kPSg6LDcQM5QvVCpgJTAgaByYGiwZdBpgHFweiCAkIQghiCH8IlwiWCHAINQgAB90HvweXB14HIQbpBrIGcgYmBdMFhwVHBQ8E3QSyBI8EcQRRBCkD/APOA6IDdQNGAxUC6AK+ApQCZgI0AgIB0AGhAXEBQQEQAOEAtACJAGYATQA8AC4AHQAF/+v/zv+v/4v/Y/88/xz/Bf7w/tj+vP6g/ov+ff5x/mT+Uv45/hr99f3J/Zn9aP07/RL87PzJ/Kv8lvyL/If8gvx2/GX8UfxA/DH8IPwM+/b73Pu5+4r7V/sv+yP7Oftt+6z74Pvw+8z7dvsE+qL6cvp8+qv63vsE+x/7O/tb+3n7jfua+6T7r/u5+8D7x/vO+9P7zvu++6n7mvuR+4X7cftZ+0f7QvtD+0H7Ofsx+zD7OPtC+0r7S/tE+zT7H/sM+wP7Avr++vD64Prd+vL7Gfs6+0P7NPsb+wr7A/sA+v76+vr2+vL67Prn+ub67fr4+wH7Avr/+vv6/fsC+wj7C/sM+wv7C/sL+wz7DvsQ+xH7EvsU+xf7Gvsd+yD7Jfsu+zr7RftK+0b7Pfsx+yP7EvsA+u362/rJ+rf6pPqU+or6hvqB+nn6bfpg+lb6S/o/+jH6J/oi+hv6Dvn5+eP50vnJ+cH5tvmm+ZT5gflr+VH5OPkl+R35G/kX+Qn48fjS+LH4j/hu+FP4Qfg4+DL4KPgV9/335PfO97r3oPd/91z3Qfc29zj3Ofcq9wn23va19pL2cvZP9iX1+vXR9bH1mfWJ9X31b/VV9TD1BPTZ9LX0k/Rv9En0JfQI8/Dz1/O685rzevNd80HzJfMJ8u7y0/K28pjyfPJp8lzyUPI98ibyEPIC8fnx7/Hf8czxuvGt8aPxm/GR8YnxgPF38WvxW/FF8SzxEvD88O3w5vDk8OTw4vDf8Nnw0fDI8MDwu/C58LfwsvCt8KnwpvCi8J7wnvCl8LDwuPC38LTwufDJ8N3w7PDy8PnxDPEm8T/xT/Fg8YXxyPIm8o7y7/M/83jzmPOd85Lzg/N+84zzsvP39F/06fWC9gf2V/Zi9jL16fWs9Y/1kfWf9av1tvXF9dv17fX09fP1+fYS9jb2VfZk9nH2kvbR9yP3bvei97v3v/e095r3dfdO9zb3Ofdd95335fga+Cz4Ivgf+EL4jfje+RH5JPk1+WD5mfm5+aX5cvlS+WH5iPmO+VD43Phj+A333ve895H3Wfcc9uD2pvZq9i719vXI9aX1i/V59Wz1YvVW9Uf1M/Ub9P/04/TI9LP0pPSZ9I70e/Rf9Dj0DfPo89HzyPPF877zsfOj853zofOs873z0/Pu9AX0DPP8893zxPO/88/z6PQB9Bn0NPRR9Gr0evSA9ID0ffRx9Fn0N/QU8/jz4vPK86vzh/Nh8znzDvLj8sHyu/LX8wrzPfNW80/zNvMf8xTzFvMd8yjzPfNb83rzifOB82jzSvMu8xTy+fLm8unzBfMq80HzO/Mg8v7y2vKv8nTyK/Hj8aLxaPEw8QPw8PEA8SLxMPEI8KjwMO/G74HvYe9X71rvZu9474vvmO+b75nvmO+a753vn++i76nvtO+/78TvxO/E78zv3u/38BLwMPBU8H/wr/Dg8RLxRPF58a3x3PIJ8jXyY/KO8q/yxvLa8vfzIvNW84fzr/PO8+r0C/Q29HD0tvT69S31RfVJ9U31YvWN9cj2BvZE9oH2u/bu9xn3QPdp95n3zfgB+Df4cfiz+P35SfmV+eb6P/qg+wH7W/ur+/X8PfyI/NT9IP1r/bT9/P5G/pH+3P8k/2r/rv/1AEAAjQDaASUBcQG+AgsCVgKhAu4DPQOMA9kEIwRvBMMFHgV9BdoGNAaOBusHSwerCAoIZgi+CRcJcgnQCi8KiArXCxsLWQuYC90MKgx+DNcNLg1/DckODw5VDpsO4Q8mD2oPtBAGEFoQrRD6EUURjRHSEhISTxKTEuATMRN3E6oTzBPsFBIUPBRhFHsUiRSRFJYUnhStFMcU7BUQFSQVIRUOFPsU+BUJFSYVPhVBFS0VERUCFRUVRhV+FZ4VkxVhFRsU1hSgFHcUUhQjE+QTnxNnE1ETXhN+E5YTmhOPE4ITchNSExYSxRJ9EloSaRKcEtQS9BLwEs4SpBKIEogSmhKtErYSthK7Es4S8RMeE1QTkhPQE/gT8BOsEz0SwxJcEg4RzhGMEUYRDxEFET4RtBJBEroTBxM0E2kTxRRDFL4VERUyFTQVMhU1FTYVKBUFFNQUmRRTFAAToRM+EuYSoxKAEoMSqBLiEyATVxOJE7kT6RQPFBoUBBPQE48TUxMlEwES3hK2Ej0SGhH7EeUR0xG9EaIRhRFsEVcRQREoEQsQ8RDfENQQyhC6EJ8QfBBcEEwQThBcEGYQYhBSEEUQQhBLEFUQXRBpEIIQqRDQEOgQ6BDUELkQoRCQEIUQgBCBEIkQlhChEKMQlBB2EEsQEg/GD3EPNA89D6EQNRCSEFQPZg4VDN8MGwvIC60LlAtyC1oLUQtLCzQLDgrlCrsKfwokCboJaglLCUwJQwkgCP8JFgl/CiYK2Qt2C/0Mfgz+DXINyw4PDksOiA7ADugO+Q76DvAO3A6+DpcOcA5KDh4N4Q2SDTsM6QycDEwL9wusC4cLlwvSDBUMPwxHDEEMUAyKDOYNRQ2EDZINeQ1PDS0NHg0mDTwNVA1YDTUM5gyBDCoMAAwLDDQMXgxvDF4MLQvjC4cLJwrOCoYKUgoqCgkJ5gm9CY0JXAkxCQ0I7QjICJUIUAgAB7AHdwdmB4EHtgfnB/8IAAf9CAEIBgf3B8oHjAdNBxkG7QbDBpgGZAYYBakFKwTGBJgEigRWA8ACzwHPAREAqwBpAAD/Tv5x/aX9FPzB/JT8cPxI/Bv78PvK+6b7fvtN+xf66frQ+tT69fst+3D7rfvX++f74/vS+7T7iPtL+wb6v/pt+f35X/id99L3G/aC9f71ifUm9N30p/R29D30APPK853zcPM28vHyq/Ju8jPx9vG48YvxdPFp8VjxOvEZ8QLw5/Co8DPvnu8f7t3uzu7D7pXuSu4P7hLuYO7q75fwXPEw8gLyufNJ87b0DPRS9IT0pvTL9Qb1VfWY9an1f/Ux9OL0ofRr9D70JfQx9Fr0evRh8/zzXfKq8f3xXvDB8B3vcu7D7hbtcezb7Fvr9Oum63DrVOtS62Hrd+uH64vrg+t062HrU+tR62nro+v97Grs1u037ZHt8u5n7uvvZe+879/v1e+y74vvcO9p73LveO9n7yruxe5U7fftxu247bnttO2n7ZTtdu0+7NjsQ+uN6tTqMumz6VjpHOj66O/o+ukY6Ufphuna6kHqs+sb62Prg+uH64XrlOvA7AvsbezX7TXtdu2d7bjt1+397iDuPe5e7pXu4e8q71XvXe9V71TvWO9O7yzu/u7b7s7uz+7N7sru1+797zXvcO+j79rwIvB88NbxIvFe8Zzx6/JN8rTzDfNP84HzsPPh9A70MvRU9JD0//Wh9lX28vdh96r36vg5+J/5GPmZ+gj6SfpF+gf5vPmV+aj55/oy+n36zfsr+5T7+/xb/L39K/2f/gv+av7D/yX/lQAKAHkA3QE6AZMB5wI2AoMC0AMbA10DmQPWBB8EcgTFBQ4FTwWRBdcGHgZhBqIG5AcmB2AHjQe2B+gILAh7CMcJBwk8CXEJsgoDCmEKvgsGCyELCgrPCo8KZQpfCngKnwrICuoLBwsnC1ULkQvRDAMMIQwsDC8MLgwtDDAMPwxcDIIMpgzODQoNZw3WDjEOXA5fDl0OdA6gDs4O+w86D50QEhBvEJcQmxCfELAQqRBbD7UO2w35DRsMJQr4CZ0IRAclBmoGIAZCBrsHXAfvCEkIaQhuCHYIhQiGCGsIOggHB+AHvgeWB2MHKgbvBrEGagYeBdUFlwVjBS8E+ATCBJQEcAROBCgD/QPOA50DbQM8Aw0C4gK5Ao4CYAIvAfwBygGYAWcBOAEMAOAAtACKAGgAVABMAEkAQgAzAB0AAP/d/7P/hP9Y/zP/FP73/tn+uf6b/oL+bv5c/kr+N/4g/gT94P20/Yb9Wf0w/Qz86/zK/LD8oPya/Jj8kfyA/Gn8U/xF/Dz8Mvwi/A779PvS+6j7eftM+yb7B/rv+ub69vsd+0b7Tvsl+tv6mvqG+qT63PsQ+zX7Tfth+3T7hfuW+6b7tvvB+8j7zvvW+9z72/vN+7v7rfuk+5r7iPtw+137U/tP+0r7Qvs9+z77RftM+1D7UftN+z/7KfsU+wn7CPsH+v367Prm+vj7HPs5+z77KvsP+v76+vr7+vn69Pru+un65vrl+uf67fr1+vr6+fr1+vL69fr7+wH7BPsD+v/6+/r5+vv6//sC+wP7A/sD+wb7C/sP+xH7EfsU+xv7JPsr+yr7IvsV+wX68/rg+s76v/qw+p/6jvp/+nT6bvpo+l/6U/pH+j/6N/ou+iX6Hvob+hb6CPny+dv5zfnH+cH5tPmg+Yr5d/lk+U35Nvkk+Rr5FvkP+P/45vjJ+Kv4i/hr+FD4Pvg1+DD4JvgV9/735/fR97v3ofeA91/3Rfc59zf3NPci9wD20/an9oD2XfY69hf19PXX9b71qvWY9Yf1cvVT9Sv0/vTU9LL0kfRt9EX0H/QB8+rz1PO6853zgPNk80bzJPMA8t/ywvKn8o/yefJo8lrySvIy8hTx+PHj8dXxyfG68arxnPGS8Yvxg/F68XHxafFg8VXxRPEu8RTw+/Dn8Nrw1vDX8Njw2PDT8Mvwv/Cx8KbwnvCc8JvwmPCU8I/wivCG8ILwg/CL8JjwofCi8J/wovCu8MDwzPDQ8NTw4fD68RbxMPFI8Wfxl/HZ8izyiPLl8zTzaPN983jzZ/NX81DzWPN487/0NfTV9YH2DPZO9jf14PV+9T71M/VJ9WT1dvWC9ZH1o/Wy9bn1w/XX9fP2DPYd9jH2Wfaa9uf3LPdc93P3b/dQ9yD29fbo9v73K/dZ94D3ove998z3z/fW9/b4MPho+ID4fPiG+MP5KPl/+Zn5e/lZ+Vv5ePl/+Ur44/h6+DT4Dvft97j3b/ch9tn2mPZX9hb12vWo9YD1YvVN9T/1M/Uj9Q709vTe9Mv0vfS09K30pvSb9Iv0dvRd9EP0K/QW9ATz9vPr8+Lz3PPa897z5fPt8/j0C/Qm9D/0RvQ09BHz7fPa89jz4PPu9AT0JfRP9Hf0k/Sg9KL0m/SM9HL0UvQz9Bjz/vPf873znfOF83HzVfMx8xDzCvMr82Xzl/Om85DzbPNU81DzVvNY81fzXfNx84rzlPOJ82/zVPM78x7y+vLg8uTzCPM581XzS/Mk8vPywPKH8kLx9vGx8XTxOPD88Mzwv/DZ8P7xAfDE8FXv3e+F71jvSu9K70/vXO9v74Hvie+F73vvcu9w73Tve++F75Dvmu+g76HvoO+j77DvyO/m8AjwKvBQ8HnwpfDR8P7xLPFc8Yzxu/Hp8hnySfJ28prytfLO8uzzFPNC83DzmvO889fz8fQU9Ev0lfTh9Rj1LvUu9TH1TfWE9cP1/fYv9mD2k/bG9vP3GvdD93L3p/fd+BL4SviL+NP5Hvlr+bv6Efpu+sz7I/tx+7j7//xK/Jv87f09/Yn90v4c/mr+uP8D/0j/h//HAAwAVwClAPYBSAGYAeYCMQJ+As4DIwN2A8MECwRXBKwFCwVtBc0GKQaEBuEHQAefB/sIVQivCQgJYgm/ChwKcwq/CwELPAt8C8MMFAxrDMINFg1lDbAN+A4/DocOzQ8RD1gPpw/+EFgQrRD5ET0RfxHAEgASQhKJEtcTIhNfE4cTohO8E94UAxQgFC4ULxQrFCYUJRQtFEIUYxSEFJkUnBSWFJIUnBS1FNUU7xT4FOoUzRSzFK8UyhT3FRsVHRT0FKsUWBQUE+oT0xO8E5MTWhMpExcTKxNPE2cTZBNTE0ITNRMbEuUSmxJYEjcSQBJhEoASixJ9EmQSUhJWEnASkxKpEqYSlRKOEqUS3hMxE5IT8hRAFGEURBPpE2wS6xJ4EhMRuBFvEU4RZhG4Ei0SnxLvEw8TEBMVE0QTqRQtFKMU5RTyFOIU0xTOFMYUpxRsFB0TxxNyEyES1RKUEmYSTBJJEl8SjBLPEx0TaxOvE+QUBxQTFAETzBN7EyES0hKdEoEScRJcEhAR9BHaEcMRrBGPEXERXhFeEWsRdhFzEWMRVBFREVwRZhFdETkRAhDQELkQxBDiEPsQ/BDmEMkQsxCpEKcQqBCuELsQzBDYENcQyRC2EKQQlxCNEIMQeRBwEGkQZxBnEGAQTBApD/gPvA91DykO9Q8AD2EP8xBYECoPTQ4GDNIMCwu4C5wLfQtPCyYLFAsQCwoK/QrtCtYKpApGCcsJWAkICNQInwhgCDYITQi1CVIJ9QqFCwsLmgw1DMkNQg2eDesOMw50DqAOtQ62Dq0OmQ52DkEOAg2+DXcNJQzEDFgL6At+CyIK4ArECtQLCQtMC3sLgAtfCzILIwtWC84MaQzyDTwNPA0ODNoMvAy3DLcMpAxvDBYLqQtJCxMLGAtLC44LwAvSC8ULoAtpCyMK2QqWCmMKOwoSCd8JpAloCS8I/AjOCKgIiQhrCEQICQe5B2MHHQb/BwwHNAdZB2oHawdvB4YHpge4B6sHfgc/Bv4GxAabBoQGbwY+Bd0FWATgBJ0EgAROA9ADEgJcAfIB2gHQAYIAzv/V/tz+GP2a/VL9Ivz0/L78gvxN/Cj8FPwM/An8CPwI/Aj8BvwC+/z79Pvo+9b7wfun+4b7Wfsh+uj6t/qJ+kz58fl2+Ob4TPeo9vr2T/W89VH1BvTG9IX0R/QU8+zzwPOI80rzEfLe8qfyYfIW8dvxuvGm8YrxW/Eo8QHw4/C18GLv9++W71fvMO7/7rLuYu5D7nbu9O+b8Ejw9PGg8kTy0fM+85Pz4/Qt9GL0ePR99JL0xfT/9RH04PR/9B7z6fPm9Af0P/SJ9OH1N/Vw9Xb1RvTq9HTz7vNf8sfyIfFk8I7vru7Z7ibtmu0t7NTsiOxQ7DDsJ+ws7DbsOuw17CrsJew37HDs1O1b7e7udu7k7zvvie/g8D3wifCn8IrwQO/s77Hvmu+f76vvqu+Q71fvBe6p7ljuIe4F7frt9O3w7e3t4u297Wzs7OxO66zrG+qj6j/p6emj6XLpXOld6W7pi+m06e3qM+p76rbq2err6vjrEOtA64/r+uxz7ODtLu1d7X7to+3P7fjuF+457m7uuO797x/vHe8U7yDvQe9a71PvL+8L7vvu++797v/vEu9F75Hv3fAW8EPwevDF8RvxZ/Gh8dTyFfJt8s7zJPNi85Hzv/Pw9Bv0OfRX9JP1BvWn9lD22/c/95L37fhY+Mn5NPmX+ez6IPoe+ej5pfmF+aH56Po7+on62fs2+6D8DPx0/N39UP3K/j/+pP8A/17/wQAnAIoA6gFMAawCBQJSApUC1QMWA1gDnAPnBDkEjgTeBSQFZQWmBecGKAZnBqsG9Ac6B3UHowfPCAYISgiTCNkJGQlYCZgJ2QodCmoKvgsMCzgLMgr+CrkKhApwCnsKmwrACuULBwsuC2ELogvnDCMMSgxcDGEMXwxcDGIMdwyaDMIM4g0CDTINfg3WDhwOQw5dDowO3A80D3cPow/ZEC0QjRDKEM8QsxCiEKIQhBARDz8OOQ0zDDQLHQnVCHEHMQZSBe0F/AZlBwkHuwhLCJkIpwiXCIkIiQiGCHEISggcB/AHxgeYB2QHLQbyBrAGZwYdBd4FrgWFBVcFHwTiBKkEeQRRBCsEAgPWA6YDdANBAxAC4QKzAoQCVwIrAf4BzwGeAW0BPwEVAO0AwwCaAHkAZwBjAGcAaQBkAFMANgAO/9z/p/9y/0P/Gv71/tL+s/6V/nn+Xf5C/in+Ff4B/en9yP2f/XL9SP0j/QL85fzK/Lb8qvym/KL8lvyB/Gn8WPxP/En8Qfwz/CL8Dvvz+837n/tv+0D7DvrZ+q/6q/rd+zL7ePuA+0b68/q8+rv64/sW+z77V/tn+3P7ffuK+5z7s/vG+9H71fvY+9774fvc+8/7wvu5+7H7pPuT+4D7bvte+0/7RftE+0z7Vvtb+1r7WftX+1D7P/so+xf7EPsP+wr7AvsA+wz7Ivsv+yf7D/r3+uz67Prw+vD66/rm+uP64/rl+un67fry+vT68/ry+vL69fr5+vz6/vr7+vX67vrq+un66/rt+uz65/ri+uD64Prh+t/62/rZ+tz64/rr+vD67/rq+uH61vrK+r76tPqq+p/6kfqC+nT6aPpd+lD6Q/o5+jL6Lfom+h76GPoU+hD6Bfnz+eD51vnT+c/5wvmu+Zj5hfly+Vz5Rfkx+ST5HfkS+QD46PjN+LH4kvhx+FT4P/g0+C34I/gT9/736PfQ97X3mPd491v3R/c89zX3K/cV9vL2yPae9nj2VvY39hv2AvXt9dn1xfWv9Zf1evVV9Sj09/TL9Kb0hfRk9D/0G/P98+Xz0PO4857zhPNp80rzJvL98tfyufKk8pPyg/Jy8l7yRvIo8gfx6PHQ8b3xrPGb8YvxgPF68XXxcPFn8V7xVPFI8TjxJfEP8Pnw5vDX8M7wzPDO8NHw0PDL8MDwsfCg8JHwh/CE8IPwgfB78Hbwc/Bx8HHwcvB48IDwifCN8I7wkfCa8KfwsfC18Lnww/DX8PLxD/Eq8UTxX/GB8bHx9fJL8qfy+fMv80jzR/M78y3zKPM0813zsfQ29OH1i/YA9hf11PVn9Q306fT09Qz1HfUq9UH1ZfWH9Zr1nvWf9aX1tvXR9fz2NvZ49rn28fch90T3Svco9ur2u/bB9wD3UPeG95b3lved96r3sPet97P3zffv9/33+PgE+Ej4vvkz+W/5bflZ+Vr5b/lw+T/46fiY+Gb4R/ga98/3cPcU9sj2hfZD9f31uvWD9Vn1O/Un9Rn1DPT79OT0yvS29Kv0qvSu9LP0svSn9JL0e/Ro9F70WfRP9Dz0JPQP9AX0B/QT9CD0KPQs9C/0OPRH9Fj0XvRT9Dr0HvQG8/fz7/Px9AD0IfRN9Hn0m/St9LL0q/Sa9H/0YfRF9Cz0EfPx89HzvPOz867zm/N381XzUPN287Pz4fPl88PzmfOC84HzhfN+82/zavN284fzjPN982TzTfM58x7y+/Li8ujzDvM7807zOPMH8s7ylvJX8g7xwvF/8ULxA/DD8JjwmvDE8O3w4vCR8BXvo+9d70PvPe877zvvRe9W72bvau9h71XvTe9N71TvXu9p73TvfO+B74TviO+S76Lvu+/b7/7wJPBL8HPwm/DG8PLxH/FM8XjxovHL8fXyIPJI8m7yk/K58uHzCvMy81jzfvOk88jz6PQK9Db0cPSu9N709/UD9Rb1QvWB9cH18/YZ9j32aPaY9sf28fcb90v3gfe59/D4J/hk+Kn49flE+ZT55/o9+pL65Psv+3T7ufwD/FX8rf0F/Vb9ov3s/jr+jf7g/yr/a/+o/+cALAB4AMoBHgFyAcMCEQJeAq4DAgNXA6YD8wRBBJcE9AVVBbUGEgZuBsoHJQd+B9cIMAiKCOQJPQmWCfAKRgqVCtsLHwtoC7kMDwxkDLQM/w1JDZQN4A4sDnYOvQ8CD0sPnA/zEEwQnRDkESURZhGqEe8SMxJ3ErsS+hMsE08TaRODE6ATuxPJE8sTxRO/E7sTuhO9E8gT3RP2FA4UHRQoFDIUQBRRFGYUeRSFFIEUbhRWFEsUWhR9FJwUnRRwFBsTtxNkEzgTLhMwEyAS+RLPEsAS1BL4EwoS/RLdEsISsBKaEnESNhIAEeIR3xHoEe8R6hHeEdUR2RH0EiQSVxJ5En0SbxJtEpES4hNVE9MUQRSHFJMUYxQIE54TNhLOEmER/BHGEeQSWxMAE4sTyBOxE2kTKBMVEz4TlRP3FEEUYRRcFEoUPBQ1FCYT/hO6E2MTCBK3EnsSWRJSEl8SdBKKEp8SuxLoEyYTbBOtE9wT8xPtE8gTgxMmEsQSchJBEi4SKhIjEfsR7xHnEeER0xG7EaERlxGoEc0R7xH+EfoR9RH9EhESIBIUEecRphFtEVQRYBF/EZURjxFxEUkRKBEREQAQ8hDnEOEQ2hDQEMEQsBCjEJgQihB2EF8QSxA7EDAQKBAgEBUP/w/bD64PfA9HDxMO7g72Dz8PsQ//D9IPCQ3eDMEMCAu6C58LfQtFCw4K8ArsCvUK/Qr/Cu0KswpECbEJHwioCEYH5Ad+BzMHLQd9CAkIpAk2CcgKbAslC94MgA0EDXANzQ4WDkQOVg5UDkgOMQ4IDckNdg0ZDLcMSgvLCzMKjQnxCYMJYQmRCfYKYwqsCroKkQpHCfwJ1gn3CnELLwv3DIwMyQy9DI4MXww1C/4Lqws9CsYKYwoqCikKXQqsCvgLJws2CzELHwsDCtcKoAprCj4KFwnoCawJawkwCP8I0QigCG4IQwggB/oHwgdyBxYGyAaeBqAGvAbbBuwG8wcABx8HSAdoB24HVAckBukGsgaMBn0GdgZXBgQFiAUMBLkEiwRVA+8DYALdAp0CngKsAoMCBQFBAF7/hf7M/j791P2A/TX88vzE/Lj8zPzx/RP9Jv0m/RT87fyz/Gz8Ivvd+6L7c/tN+yr7BPrZ+rH6kPp3+lz6Nvn9+az5Ofib99j3DPZZ9dH1bPUY9Mz0jPRd9Df0D/Pe86/zifNo8zry9fKj8lryJfH48cPxg/FE8Rjw/fDi8LjwhPBT8Cjv8u+g7zju5u7b7zHv0vCP8UHx3/Jt8ubzP/N285zzy/QG9DP0OPQe9Ar0HfRH9FX0IfO581rzQPN38+H0WvTR9Uz1z/ZN9qn2zPat9lr17PV69Qn0ivPl8w3yFPEf8FLvuO9C7tPuWu3f7XrtQu1B7Wrtpu3Z7fnuDe4r7mXuwu8577XwJPB28KvwzPDp8QjxIvEh8PnwtfBx8EfwOvA58C3wDO/b76LvZe8m7urut+6S7nnuZu5X7knuN+4T7dPtdO0D7JTsMOvW633rH+rB6m3qLuoF6e/p6Onv6gTqKOpU6n/qouq76tDq5+sP61Prt+w07LHtFO1U7Xntlu227dPt7O4J7jzug+7H7uvu6u7h7u7vEe8v7yvvCe7n7t/u7+8G7xzvP++C7+HwPvB/8KXwy/EG8VTxnvHS8fjyJ/Jv8snzH/Nj85fzx/P59CX0RfRn9Kf1GPWv9kX2vvcd93739fh3+Oz5RvmN+cr58/ny+cf5kPl6+Z356/pD+pX65/tH+7b8Kvyb/Q/9i/4L/oX+7/9L/6P/+QBLAJsA8AFQAbkCHwJ2ArwC9wMvA20DtgQJBF8ErgTyBS4FagWqBekGJgZjBqoG+AdEB4IHtQfqCCoIcgi2CPIJLwl1CcEKBgpACnoKvQsFCzgLPgsWCtUKmwp9CnwKkgq1CtoK/wskC1MLkgvfDCwMagyRDJ8MmwyRDJAMowzJDPANCg0fDUQNhw3eDi4Oag6lDvoPaw/WEBsQOxBWEIQQtxDMELgQlhCEEHcQOQ+XDpQNZQw9Cx8J7gifB1cGXAXcBdsGOAbLB3QIEwiKCMYIzAi4CKYInAiSCH0IWQguB/8HzQeWB14HJwbvBrAGagYlBeoFvQWWBWwFOAT9BMEEigRbBDIECgPfA7EDfgNKAxYC4QKsAnoCTgIoAgUB3QGuAX0BTgEkAP8A2QC0AJYAhACBAIcAjgCPAIEAYwA3////xP+K/1X/JP74/tH+sP6R/nH+T/4u/hH9/P3p/dL9tP2O/Wb9Qf0f/QL85/zR/MH8tvyv/KT8lPx//Gz8YPxb/Fb8S/w9/DH8J/wW+/T7xPuR+2P7N/sE+tL6vvri+zr7lvu9+5n7SPr/+uL68PsT+zf7Vvtw+4H7h/uK+5f7sfvO+9773vvX+9X72/vh+9/71/vP+8j7wvu5+6r7lft7+2L7UvtR+1v7Z/ts+2n7aPtq+2r7XvtG+yr7GPsR+xL7F/se+yn7Mfst+xz7Avrt+uP64vri+uH63vrc+t364Prj+ub66vrs+u367frt+uz66/rq+uj65/rl+uL63frY+tT60vrO+sf6vfqz+qz6qPqn+qb6pfqk+qf6rvq3+sD6xvrK+sv6yfrE+rv6s/qr+qT6mvqM+nz6bfpf+lL6Rvo7+jX6Mfoq+iD6FvoO+gn6Avn3+ev54/ng+dr5zvm8+ar5mfmG+XD5V/lD+TX5Kvkc+Qj47/jV+Ln4mfh2+FT4O/gq+B/4E/gF9/T34ffK9633j/dy91z3TvdE9zn3JvcJ9uX2wPac9nz2X/ZC9in2E/YA9e712PW/9aL1gfVa9Sr09vTF9Jv0efRZ9Dj0F/P78+PzzfO2853zg/Np80vzKPMA8tryvvKs8qHylfKC8mjyR/Il8gTx6PHQ8bvxpvGT8YPxefF08XDxavFi8VjxSvE38R/xB/Dy8OHw1fDO8MnwyfDL8MzwyfDC8LbwpvCT8IPwePBz8HHwbvBq8GXwZfBo8Grwa/Br8G3wcfB38Hvwf/CF8IzwlPCa8KLwrvDB8Nnw9vES8SnxOfFD8VPxd/G68hryhfLk8yLzOfMw8xvzDPMO8yXzWPO09EH06/WC9c71uvVj9Qb0z/TB9MT0yvTa9QT1RPV99ZX1hvVk9U31VPWB9cv2IPZq9p/2xvbx9yD3Ofci9uf2uvbO9yT3iPfC98f3u/fC99j33/fG96T3l/el97n3w/fX+BP4efji+SL5Mvky+UD5V/lW+Sn45Pip+Ij4a/gw9833W/b39qz2bfYr9eL1m/Vi9Tn1HPUJ9Pv07vTe9Mn0tfSm9KP0qfS19MD0wfS29KH0ivR+9H/0g/R89GT0Q/Qq9CT0MfRG9Fb0XPRb9Fj0VvRX9Fr0XPRZ9FL0RvQ39Cf0GvQU9Bz0MvRR9HL0jfSh9Kz0rPSf9Ij0bPRR9Dn0H/QE8+/z5fPm8+Lzy/Ok84Tzh/O08/H0FfQL89zzqfOL84PzgPN082fzZ/N184DzdfNR8yjzC/L78u/y4/Lk8v/zKvNK80PzFfLW8pzyaPIv8e3xp/Fn8Sfw3/CZ8HLwgvC58OTwzvBv7+/vhe9N7zvvM+8q7yPvJ+8z7zvvOO8u7ynvLe8370LvSu9R71fvXu9m73DvfO+L753vs+/P7/PwGvBC8GrwkfC78OnxGPFE8WzxkPGy8dPx9fIY8jzyZfKT8sDy6fML8yrzT/N987Dz3fQC9CD0QfRq9JX0vfTi9Q31QvV89bL12fX29hX2PPZr9pn2xfbv9x73VPeO98j4A/hB+IX40Pkf+W/5vfoJ+lX6ovrv+zj7ffvB/Az8Yfy9/Rb9Z/2z/gP+Wv6z/wX/TP+M/8sADwBYAKUA9wFNAaMB9gJGApQC5AM1A4gD2gQuBIUE3wU6BZUF7wZJBqIG+AdNB6QIAAhfCLoJEglmCbsKDwpeCqoK9gtKC6UMAAxTDJ0M4w0qDXcNxQ4TDl8Oqg70D0APkg/mEDoQhhDKEQwRUBGYEd8SIBJaEo8SwBLrEwwTJxM/E1MTYRNlE2MTYhNmE20TchNyE3ITeROIE54TthPLE90T5xPsE/ET+RQDFAYT/xPyE+4T/hQcFDUUMRQDE60TRhLsErcSqRKtEqcSihJmElQSYhJ9EoYSbxJEEhwSAhHsEcwRoBF2EVsRTxFJEUMRPRE8EUQRWRGAEboR+hItEkYSUBJlEp8TBBOCE/sUURRwFFYUFBPJE40TXxMsEuQSnxKREuMThBQqFHwUVBPRE0IS6xLgEwwTSRN6E5gTphOqE6oToxORE3ATPBL4EqsSXxIiEgASAxImEloSiRKmErUSwhLbEwITMBNaE3gThBN7E1oTIBLTEoESPhIWEggSBxIFEgESEBIoEj8SShJCEjESKRI0Ek4SZhJuEmYSXBJaEl8SXhJKEiAR6RG8EakRrRG7Eb4RrBGNEW4RWBFIETURHhEFEO0Q2BDBEKwQmxCOEHwQXhA1EA4P9Q/qD+cP5Q/eD9IPuw+YD2wPQA8aDvkO4Q7jDxEPXg+SD2UOtg2vDK0L/wuzC5oLfQtKCxIK8QrtCvsLCwsPCvMKpQoiCX0I2AhJB8kHQwa1Bj0GBgYlBokHEAekCEkJCgnkCsMLjAwzDL0NLg2CDbYNyw3IDbgNnA1uDScMyAxbC+cLZwrKCgEJGAg7B68HpggcCNAJaQmmCYUJLgjRCI4IcgiSCQEJwQqrC30MAQwuDBwL5wubCzEKrQomCboJfwl6CaQJ7ApACoYKsQrCCsUKxQq+CqcKfQpMCh0J8Am9CYIJSAkbCPgI0wihCGQIKwf9B88Hjwc2BtAGeAZDBjgGSQZjBngGhwaZBrQG1AbtBvcG7gbZBrsGmgZ/Bm8GYQZABfcFiwUbBMgElARiBBMDpgM6AvEC0gLKArsCjgI1AacA6AAP/z/+k/4S/bP9cv1W/WX9k/3C/dn90P2w/YL9Sv0C/Kv8Svvq+5X7Uvsf+vr63Pq/+qL6hfpq+lP6Pvol+fj5ofkV+F33mPbl9lT13PV09Rz02vSv9I30afRA9B30BvPx88vzj/NG8v3yuvJ38jDx6vGw8YfxafFR8ULxQvFM8UnxHfC68D3v3O/P8Crw1PGd8lry+vN889f0AfP88+Pz2vPv9Av0DPPt883zzvPn8+zztfNT8wXzCfNn8/X0gvUB9YP2HvbF91H3mfeO90H22/Z99jD14/V19M3z9vMV8lPxxPFX8OrwY+/E7zHu1+7U7yPvoPAZ8HHwofC98Nfw+/Ek8UzxbfGD8YjxfvFt8WDxW/FU8UHxIfEC8O7w4fDN8KHwY/Ah7+vvwO+X72zvQO8c7v/u5e7L7rDulO5y7kTuB+3D7YLtSO0S7NTsh+wt683rcusl6u3qzOrD6svq3+r46xHrJesx6zbrOetG623rvew17L/tPO2S7bztyO3H7cPtwu3S7gDuS+6c7tTu5u7l7uru/u8L7vzu1u637rvu4e8R7z3vbe+18Bjwf/DL8PjxGvFI8YfxxPHt8gbyKfJo8sDzHPNl85zzy/P89C30WPSF9Mj1MPWv9iv2kvbw91z34vhv+Of5Pfl/+bb52/nb+bX5hfl3+Z356/pD+pn68ftX+8z8RvzA/T/9xP5H/sD/J/+D/9gAJwBwALMA/AFVAb4CLQKSAuQDIgNXA5AD1gQpBHsEwAT1BSUFXAWeBeIGIgZkBq4G/wdKB4gHvgf8CEgIlgjZCQ8JSQmSCeMKKQpeCo4KygsQC0YLUgstCuwKrQqFCn0KkQq1Ct4LAgsjC00LjQvkDEMMlAzHDNcMywy4DLEMxQztDRMNJg0yDVMNng4LDngO0A8dD3UP3BA7EHUQiBCMEJIQlBCAEFsQPhA1ECAPwA7vDcMMeAs9Cg8I2AecBowF5wXIBhsGqwdKB9sIUQieCMAIwgi6CLMIrAifCIUIYgg7CA4H2QedB2EHKgb0BrsGfAY6Bf4FygWcBW8FPgUIBNAEmQRmBDoEEQPoA7oDhwNRAxoC4QKoAnMCRwImAggB5gG8AY0BYAE3AREA7gDNALMApACgAKUArACtAKEAgQBRABX/1v+b/2P/L/7+/tL+q/6J/mf+Rv4m/gn98v3a/cD9of2A/V/9QP0j/Qf87vza/Mn8u/ys/Jr8hvxz/GX8XfxZ/FP8SPw9/Dj8OPww/BT75fuw+4T7Xvsv+vf6z/rZ+x77efuw+6T7Zfsh+vz6/PsS+zD7VPt6+5b7nfuZ+5z7tPvW++v75/vU+8b7yvvY++P75fvg+9v72PvU+8r7uPuf+4T7cPtr+3H7eft7+3f7d/t++4P7fPtj+0H7Jvsb+x/7K/s6+0b7SftA+yz7FvsC+vP65/rd+tf61frW+tn62/re+uL65vrn+uX64vre+tr61frO+sj6xfrF+sT6xPrD+sD6ufqw+qP6mPqO+oj6hvqH+o36lPqc+qT6qvqx+rj6wPrH+sz6zPrG+rv6rvql+p/6l/qK+nr6a/pg+lf6TPpC+jr6NPou+iP6F/oM+gT5//n5+fH56vnj+dv5z/nA+bD5ofmP+Xn5YvlP+UL5Nfkk+Q348/jY+Lz4nPh3+FT4N/gi+BL4BPf19+f31/fE96v3kPd592n3YPdW90X3KfcE9t72vfah9or2cvZX9jv2I/YO9fv15/XO9bD1jfVj9TP0//TM9J/0efRY9Dj0GfP98+bz0fO686HzhvNq803zLfMK8ujyzfK98rPyp/KS8nLyTvIr8g7x9vHh8cvxtvGi8ZHxhvF/8XjxcPFl8VjxRfEs8Q7w8fDc8NDwy/DJ8MnwyfDJ8MfwwPC18Kfwl/CG8Hbwa/Bm8GTwYvBf8F3wXvBh8GPwYfBc8FnwWvBf8GTwaPBq8G3wc/B78IjwmPCt8Mfw5fEE8SDxMfE18TTxQfFv8cfyP/K68xbzPvM08xLy9fLu8vrzGfNW88T0YfUF9XT1ifVS9QL0xPSj9JH0ivSd9Nr1MvV89ZD1a/Ur9P71AfU79Z32BfZX9of2o/bF9vT3F/cO9uD2vfbZ9zb3nvfZ9+H33vf1+Bv4J/f/9773kPeN96X3wvfh+BP4Wvig+Mz43/jw+RH5Mvky+Qf4yfib+IP4Zvgi97T3OfbS9of2S/YK9cP1f/VJ9SL1BfTu9Nr0y/S99K/0pfSk9Kz0vPTM9Nf01vTH9K/0m/ST9Jj0nfST9HT0T/Q59Dz0U/Rt9H30gvR/9Hr0c/Rq9GH0XPRe9GP0ZvRj9Fv0UvRN9E70VPRf9Gz0fPSM9Jv0pPSg9JH0evRg9Eb0LvQZ9A70DfQN9ALz5fPB87DzwfPw9B70K/QL88/zl/Nz82PzWvNS81TzZPN383XzT/MP8tHyq/Kj8rDyy/L28y/zX/Np80Dy8vKh8mPyNfII8dTxm/Fg8RzwyfB68FLwZ/Ch8MfwqfBG783vcO9B7y3vHu8O7wXvCO8P7w3vA+777wDvEu8o7zjvQO9E70fvTe9W72PvdO+G75fvq+/F7+jwD/A28FvwgfCr8NrxCvE28VvxefGU8a7xyvHo8gvyM/Jf8o3ytvLZ8vnzIPNV85Lzy/Pz9An0GPQy9F30lvTT9Qr1PPVm9Yr1qPXE9eP2CvY39mf2lvbD9vH3JPdd95z33fgf+GP4rPj4+UT5jPnQ+hX6Yvq5+xD7XPuc+9r8I/x6/Nj9Mf2F/dn+Mv6L/t3/Iv9h/6L/6AAyAH4AzQEjAX8B2wIxAoACzAMZA2sDwQQaBHIEyAUdBXIFyAYeBnMGxgccB3cH2Ag8CJoI8QlCCZIJ4govCnoKyQsgC34L2gwuDHkMwQ0NDVsNqQ32DkIOkg7lDzgPig/cECoQchC1EPYROhGBEcUSARIzEl0ShRKpEsYS3RLvEvwTBBMIEwwTFxMnEzcTPxM9EzcTNBM6E0oTYRN4E4oTkhORE48TkROXE5kTkhOIE4cTlxOzE8oTyxOsE24THRLMEo4SbRJeEk4SLxIHEe0R6hH1EfUR3BGvEYIRYRFFESYRARDhEMsQvxC4ELQQtxDEENkQ+REnEWYRrBHrEhcSORJnErQTHhOOE+UUCRP1E7QTZRMsExsTKRM1EyoTGhMyE4wUCRRcFEATrxLuElYSGxIxEmgSlhKxEsoS7RMWEy0TIRLvEqcSXhIdEeURsxGKEXkRiBGyEeYSEBIrEkASXRKGErAS0RLkEuwS7xLrEtsStxKDEkoSGxH+EfQR9RH5EjASUhJ6Ep8StxK9ErUSqhKhEpsSkRKAEmYSSRIsEg8R8hHUEbYRnRGLEYIRfxF5EWkRUhE8ETMRNBE1ESwRFxD7EOEQyRCvEJUQfBBhED0QDQ/XD6wPmQ+bD6QPqQ+mD5sPhg9iDzQPBQ7eDsEOrQ6qDsUO+w8mDwkOgQ2iDLUMAwulC4ALaAtECx0LBAsDCxALGwsRCuEKgQnzCUsIpQgPB4AG5wZCBakFQAUcBTwFkAYPBrwHmAiUCZIKdgszC80MSAynDOQM/gz9DOgMxAyMDDsL0gteCuYKYgm5CNEHtAaeBeoF3wZ2B1MH+AgbB8oHVQcDBu8HBwdCB68IYglNCjkK6wtGC1ULLgrhCnMJ8gl/CTcJIQkxCVsJlgnfCikKZAqFCpMKlwqVCoQKYQozCgMJ1AmiCWwJOgkUCPcI0widCFsIHQfpB7UHbAcJBpoGOgX6Bd4F2wXkBe8F+QYDBg8GHAYoBjEGOwZGBlEGVgZUBkoGNQYLBcUFaAUIBL4EjARjBCkD1gNxAwoCsQJxAlYCWQJcAjABtgD6ACz/ev73/pr+W/4+/kX+Xv5n/kf+Af2w/Wr9Mvz8/Lj8ZPwI+7H7afs0+xH6+/rm+sv6pvp7+lH6MPoV+e75pvkz+KD4BPdy9uz2a/Xy9Yz1R/Uc9Pv01fSv9JL0gPRt9FD0J/P588jzjvNL8wry1/K18pTyavJD8jnyWvKU8rbylfIo8ZTxG/D18Tjx0/KX81rz//R79ML0xvSO9Dvz/PPt9AL0FfQQ9ADz//QL9ATzzfN28zrzTfOw9DP0qfUO9YP2IvbZ93b3yPe+93H3Cvav9nD2RPYQ9bf1MfSN8+3zavMG8qryO/Gx8SbwyPC98QvxkfIc8oHytPLA8rTymvJ08kbyG/H58d3xwvGj8YjxdvFs8WLxVPFD8TTxI/EE8NLwlPBa8C7wDe/r78Pvm+9772LvSe8s7w7u8+7a7r3ul+5t7kXuJe4L7e3tw+2I7Trs4OyH7EHsGuwS7B7sMuxD7E/sUuxL7DjsHuwK7BDsQOyh7Sbtq+4Q7j7uO+4Z7e7tzO3E7eXuMO6Q7uHvDe8X7xXvFe8R7vru1O667sbu+e8773Xvp+/n8D/wpPD98TrxZPGL8bXx2vHy8gXyJvJn8sPzIfNr85/zyvP79DT0bfSm9Oj1O/Wa9fn2VPa09yn3tPhC+L35Hvlt+a350/nQ+an5gPl5+aL57fpD+pz6+/tm+9v8VfzT/Vn95P5p/tz/Pv+W/+0AQACMAM8BEgFgAbwCIgKIAuIDKgNkA5sD3QQrBHoEugTpBRUFTQWUBeAGKAZvBrsHCgdSB40HxQgICFsIrwjzCSoJZQmvCf8KQwp2CqcK5wsyC2sLdQtLCwIKvAqRCosKpwrWCwcLLAtJC28LsAwLDG4MvwzsDPMM4QzNDMsM5g0TDTcNRA1LDW4Nxg5JDswPMg97D74QCRBSEIYQnRCcEIcQWhAYD9cPsw+qD4gPDQ4gDOELkQpXCS0IBwbyBiQFzgX3BnsHIQe8CDYIhgisCLMIrwiuCLMIsgiiCIYIZQhDCBwH6weyB3cHPwcIBtAGlAZWBhkF3wWnBXAFPAUIBNEEmgRnBDwEFgPvA8IDjwNYAyAC5QKpAnECQwIhAgUB6AHFAZ8BeAFRASoBBADkAMwAvwC5ALkAugC3AKoAiwBaAB3/3P+f/2f/M/8A/tD+pP5+/l3+Qf4l/gv97/3R/bH9k/13/Vz9Qv0l/Qj87vzZ/Mb8svyb/IT8b/xd/E/8Rfw//Dv8N/w0/Db8Ovw3/CL7/PvN+6L7eftH+wv63vrj+yP7fPu0+6j7Z/sk+wP7CPsf+zz7XvuG+6f7tPut+6j7t/vX++/77PvV+777u/vK+9376fvs++v76Pvk+9z7z/u++6r7mPuN+4r7ifuH+4T7hvuN+5P7jvt6+177Rvs6+zv7RftS+137Yftb+0z7Ovsl+xD6+vro+t362vra+tn62Pra+t764vrh+tv60vrK+sP6vfq4+rT6sfqw+q/6sPqy+rL6rPqg+pP6ivqG+ob6h/qM+pf6p/q4+sT6yvrN+s/60frT+tT60PrF+rX6pfqb+pT6jvqB+nD6YfpZ+lT6TPpA+jT6Lfoo+iH6FvoK+gH5/Pn3+fD56Pnf+db5yvm9+a/5n/mN+Xn5ZvlW+Ur5Pfkp+RD48/jY+Lv4nPh5+Fn4Pvgp+Bf4Bvf29+X31ffD9633mPeG93r3cvdm91D3L/cH9t/2wfar9pv2h/Zt9k72MfYa9gj19/Xh9cP1nPVu9Tz1CfTZ9K/0ivRo9Ef0J/QK8/Lz3vPK87Hzk/N081fzOvMd8wDy5vLT8sXytfKd8n3yW/I88iPyD/H78eXxz/G68ajxmvGO8YPxd/Fq8VnxQvEl8QPw5fDQ8MfwxvDH8MnwyPDF8L/ws/Cj8JPwhPB28GrwYPBc8FvwW/BZ8FfwVvBW8FTwT/BH8EPwQ/BH8EvwTPBM8E7wU/Bc8Gvwf/CX8LTw1fD48RrxNPE+8TzxPvFa8aHyEvKT8v3zMfMt8wjy5PLS8tPy4vMN82vz/vSj9Rz1QPUW9M/0lfRy9Fr0T/Rk9Kn1C/VZ9Wn1O/T29Mr00/UT9XX13PYv9mH2fvae9sj26/bp9sX2qPbA9xP3dve298z32vf/+DD4Qvge99j3nveN96D3wvfp+Bf4Sfhx+Ij4mvi7+O35FfkS+OH4n/hw+Fj4O/f595H3Gvay9mL2HvXb9Zj1XvUy9RH08vTT9Lf0ovSV9I/0kvSh9Lr01/Tv9Pn08vTb9L70qPSg9KX0p/SX9HT0TvQ79ET0YvSB9JT0nfSg9J/0l/SJ9Hv0dPR39ID0iPSL9Ir0iPSE9H/0evR59Hv0gvSM9JX0m/Sc9JX0h/Ry9Fn0Q/Q09C/0L/Qo9Bbz+vPm8+j0AvQh9Cz0FfPh86fzfPNl81nzUfNP81nza/Nz813zI/LX8pjye/KD8qjy4fMn82rzjvN68y3yxfJn8ifx/PHX8a/xhPFQ8QrwsPBc8DPwR/B78JbwcPAR76bvVe8o7wzu8+7f7tru4u7o7uHu1O7O7tru9e8R7ybvM+8770DvRe9L71XvZu95743vo++9793v//Ai8ETwavCW8Mfw9/Eh8ULxW/Fw8Ybxn/G88d3yAvIq8lbyg/Kv8tjzBPM483XzsfPd8/X0AvQW9D/0e/S79PD1FvUx9Uz1a/WL9az1z/X59iv2YvaY9sr2+/cx93D3tff6+D34gfjL+RX5WvmW+dX6I/qG+vH7UPuY+9D8DPxY/LD9C/1l/b7+F/5s/rT+7v8i/17/pv/3AEkAnAD0AVQBtgIUAmcCswL/A08DpQP9BFUEqgT8BU0FoAX0BkoGoAb6B1oHwAglCIII2AknCXYJxQoRClsKqAr8C1ULrgwBDFAMoQzzDUQNjw3XDiMOeA7TDywPgA/PEBoQYhCjEOARHBFbEZoR1BIEEisSTBJoEn0SjBKYEqISrhK8EswS3hLxEv8TBxMGEwIS/xMCEwoTFxMmEzQTPBM+Ez8TQxNFE0ATMRMeExUTHRMzE0kTUxNLEy8S/xLDEoYSVBIyEhMR7BG9EZMRexFzEWsRVhEzEQwQ6BDGEKIQgRBnEFoQVxBbEGQQdBCNEKwQ1BEIEUkRkBHPEgASLhJpErsTFxNkE4kTeRM8EuUSkxJkEmYSjBK3EtIS5RMJE0UTeRNrEvoSRBGSESwRIxFWEZERuRHZEgsSUhKXErISjBIuEb8RYhEpEQoQ9BDgENcQ4hD/ER0RNBFLEXYRvRITEl4SiBKUEpQSlhKbEpgSghJeEjUSFRIEEgASBxIXEooSoRKzEsESyxLREtMSyhK1EpISaRI+EhMR5BGuEXARNxENEPgQ9BD4EP0Q/RD4EO0Q4RDaEN4Q6RDyEPAQ4hDPEL0QrBCTEHEQRhAVD94PpA9xD1MPTw9cD2sPcA9tD2UPVg85DwoO1Q6lDoAOaA5eDm0Olw7DDsAOZg21DN4MIgulC2YLRgsuCxoLEQsXCyILIgsHCsUKWwnRCTYImggFB3AG0wYtBYwFAwShBHAEdwTCBVsGPAdJCFwJUgoeCsMLSAutC/EMDwwMC/ALvAtxCwwKlAoXCZ4JIgiBB5sGcAU/BG0ETQTcBbUGTgZYBe4FcgU8BV4FswYYBpMHQggoCRsJ3ApLCm8KYwo5CfcJqQljCTYJIAkWCRUJLwl1CdsKPgp+CpIKigp4Cl4KOwoPCeIJuAmMCV4JMQkKCOUItgh3CDIH9AfCB40HQgbdBnEGEgXLBZoFeAVfBU4FQQU2BS0FKgUwBUAFWgWABa0F2wX9BgwGAAXZBZcFRQTyBK8EfwRYBCsD6gOQAx0CmwImAd4B0gHqAfABugFKAMgAWQAI/8T/gf9G/xz++/7J/nL9//2Q/T39B/zd/Kj8YfwP+8D7gftX+z/7Mfsg+wL61fqc+mP6MvoJ+d35nvlG+N/4dPgJ95T3D/aI9hf1yfWW9Wr1PPUS9Pf06PTc9M/0x/TE9L30ofR09E70P/Q89Cfz8fO286Tz0fQZ9D/0EfOR8u3yZPIm8knywvNv9Cb0xPUx9V/1RPTo9HD0FPP59Br0TPRo9Gr0Z/Rn9Fn0J/Pg87LzxvQX9Hj0xvUI9Wb1+/ay91T3sfe794X3MPba9pb2b/Zf9k32HvXB9UL0v/RU9AbzxPN48yHy1PKw8sPzAPNG83fzhvN481fzJvLl8pvyU/Ic8fjx3/HJ8bLxnfGI8XLxWPE/8SnxFvD98NvwsvCM8GvwS/Al7/vv1u+776fvj+9y71bvQe8x7xzu/u7a7rzuqe6g7pnuju517knuCO2/7YPtZe1m7Xrtke2j7a/tsu2p7Y7taO1D7TDtQO187dzuS+6m7tXuz+6g7mDuJe4E7g/uTO6t7w7vTu9k72DvVu9J7zPvEu787wfvOe9+77zv6/AZ8F3wtvEV8WTxm/G/8dbx4/Hq8fjyHPJh8r7zG/Nj85bzwfP19Db0fPS99Pf1MPVu9bj2EfZ/9wL3jvgU+Ir48vlO+ZX5ufmw+Y35cfl5+ar59fpL+qf7DPt4++f8WPzT/V397f5z/uL/Pv+U/+0ARwCbAOYBKgFrAa8B+wJQAqoDAANJA4kDywQVBGIEpQTbBQ4FTAWYBegGNAZ+BsoHFwdcB5cH0ggZCGsIvAkACTwJfgnNCh8KYgqVCskLDQtaC5ALlQtlCxkK1AqvCrUK4AseC1cLfguXC7gL8gxFDJoM3Az8DP8M8wzqDPYNGQ1HDWgNcg11DZcN7Q5rDuoPSw+PD8kQChBPEIgQqxCtEIYQLw+4D0oPCA7rDrkOMg1ADAcKwQmPCHMHaQaMBgcF9wZQBugHjwgiCJAIzgjgCNMIwAi3CLYIrwiaCHwIXAg/CCAH9wfGB5AHWQceBuAGogZnBi0F8wW1BXgFPQUEBMsEkgRfBDYEFAPxA8YDlANfAycC7AKvAnUCRAIgAgQB6wHRAbUBlwFzAUoBIAD7AOIA0wDJAL8AtQCqAJkAfABQABb/1v+Z/2L/Mf8C/tT+p/6A/mD+RP4q/gz97P3K/ar9j/15/WL9Rf0i/P784fzK/Lb8n/yE/Gn8VfxF/Df8Kvwh/CH8J/wt/DD8L/wp/Bv8Avvg+7n7i/tX+yb7FPtA+6b8FvxL/B/7r/tA+wr7EPsy+1T7cfuS+7X7yfvH+737v/vU++r77/ve+8j7v/vJ+9z77/v7/AD7/vv1++j73fvT+8j7vPuu+6P7m/uW+5T7lvub+577mvuP+4L7dfts+2f7Zftp+3D7dfty+2b7Uvs5+x/7B/r0+un65frh+tz61/rW+tn62vrW+sz6wfq5+rT6svqy+rP6s/qx+qz6q/qu+rH6rvqj+pf6kvqU+pf6mvqe+qn6u/rP+t765Prk+uL63/ra+tT6y/q++q76oPqX+pP6jfp/+mv6W/pU+lH6S/o9+i/6Jvoi+h76FfoJ+f/5+fnz+ez54vnZ+dD5x/m8+a75nvmM+Xr5avld+VL5RPkw+RX4+Pjb+L74n/iA+GP4TPg5+Cj4F/gE9+/32ffE97D3n/eQ94T3ePdo91H3MfcK9uX2yfa29qb2kvZ39lj2OvYj9hL2A/Xv9c/1o/Vu9Tn1CfTh9L/0n/SB9GH0QPQi9Anz9PPg88fzqfOJ82vzUPM38x3zBPLt8tnyw/Kp8ovybvJW8kHyLvIY8gHx6fHS8bzxqfGZ8YvxfvFu8VrxQfEi8QDw4/DO8MXwxfDG8Mbww/C88LHwoPCN8HzwbfBj8FzwV/BW8FbwVvBV8FHwTfBI8ELwOvAz8C/wMPAy8DPwMvAy8DPwOPBB8E/wZPB/8J/wwPDj8QfxJPE18TbxMvE+8W/xyvI+8qny7vMC8vTy2vLD8rDyp/K98w/zoPRF9L703/S09HH0QfQq9B30FfQn9GX0wfUL9R30+fTG9K/0xvUE9Vb1q/X29i72WfaD9rD20vbU9rT2kvaY9tL3KPdv95r3uPfe+Aj4HfgL9933sPeb96H3uffc+AX4K/hF+Fb4cfii+N75A/j0+LX4aPgw+BH39Pe992f3Afae9kb19fWp9Wr1PfUf9Qf07PTN9K70lPSE9ID0ifSh9MX07PUK9Rb1DvT19NX0vPSv9K30qPSS9Gz0RvQz9Dv0VvR19I70oPSs9K/0qfSb9JD0j/SY9KP0qvSs9K30rPSo9KD0mvSa9KH0qPSo9KH0mfSV9JT0kfSF9HT0ZfRe9Fz0WPRK9DL0HPQV9CD0L/Qs9A7z2vOo84rzhfOL847zifOC83/zefNk8zjy/fLH8qnyqvLF8vPzLvNr85bzl/Nf8vvyi/Iv8fHxxvGj8YHxXvEv8OnwkPBC8CLwNvBf8GnwOO/d733vNu8G7uDuvO6j7p/uqu6x7q3upO6l7rbu0u7v7wfvGu8p7zHvMu8x7zfvRu9d73jvku+u78vv6fAI8CrwU/CC8LXw5fEN8S3xRfFY8WvxgvGe8b3x3fH/8ifyV/KM8r7y7PMb81DzivO+8+Hz9vQK9Cr0WPSI9K/0zPTm9Qj1MfVZ9Xj1kvW09eb2J/Zp9qT21/cL90j3i/fO+A74UPiZ+Ob5Lflm+Zz54/pH+sH7OPuV+9f8DvxK/JL84P0y/Yn94v42/nr+rf7a/xL/Xv+5ABkAdADNASkBiQHnAj8CkQLfAy8DggPXBC0EggTUBScFegXRBisGiQbpB0wHrwgOCGcIugkKCVoJqwn7CkgKlgroCzwLjwvgDDEMhgzdDS4Ndw28DgcOXg65DxIPYg+vD/sQRRCHEL8Q9BErEWgRohHTEfcSEBIiEi4SNxJAEk0SYBJ3Eo4SoRKwErkSvxLGEs0S1RLaEtsS3BLfEuYS7RLyEvUS9xL2Eu0S2BK+EqkSphKxEsMSzxLQEsQSqRJ/Ek0SHhH3EdQRqxF5EUQRGhEAEPEQ4RDLEK8QjhBrEEkQLRAeEBwQJxA4EE4QaxCMELMQ4REaEVwRnhHYEggSORJ4EsAS/xMdEw4S1RKCEikR4BG6Eb0R3RICEhwSLRJCElgSVBIYEaIRGBCzEJMQrhDdEQMRHRFAEXwRxxIAEgERvBFGEMgQbhBFED4QQhBDEEcQVhBuEIMQkRCpEOQRSxHIEjQScxKKEpISnRKrEq8SnhKAEmISUBJMElISYBJzEu8S5BLLErASnxKgEqkSqRKPEl0SIBHlEbIRfhE+EPIQpxBuEE0QQBA/EEYQVRBtEIYQmBChEKQQphCnEKIQmRCOEIQQdxBcEC8P8g+wD28POQ8VDwgPEQ8iDy0PLA8nDyQPIA8ODucOrw53DkoOKg4XDhkONA5aDmkOOQ28DQoMVgvHC20LOwshCxULFgsgCykLIAr4Cq4KRgnKCUIItAghB4kG7gZSBbgFJQScBCoD5gPsBFAFDgYLByAIJwkNCcoKYArOCxQLMgssCwYKvwpYCdMJPgitCCwHtQcnBlwFTwQ0A2cDOAOoBF8E4gTkBH8EEAPtBCYElQUUBaoGcwd2CIIJWAnTCgEKCQoDCfEJ0AmkCXIJOQj5CMcIygkcCasKPAqUCqQKhApZCjEKCgnfCbMJjAlqCUcJIAj3CMYIiAg/B/UHtweFB04HAwamBkUF7gWkBV8FHQThBLAEhwRiBEcEPQRIBGMEiAS3BPQFOgWABbEFwQWsBXoFNgTxBLMEfwRQBB4D5AOcAzsCvQI1AcEBfQFlAVkBPAEJANgAuQChAHYAKf/I/2r/Fv7B/lz96v2B/TH8+fzJ/I/8Rfv0+6v7efte+1L7Sfs1+xL64vqq+nL6QfoX+ez5ufl4+S/44fiJ+Bn3kvcH9pH2PfX/9cT1ivVc9UX1QPVE9VL1cvWd9b71v/Wr9Z/1r/XE9bf1fPU59SX1TfWE9Yb1NPSg9ADzg/NE80/zn/Qi9Lf1OPWI9Zj1X/Ts9GX0BfP09Cr0dfSi9Kb0m/SV9I30bfQ69Bf0KvRt9Ln07vUV9Vf10/Z49xn3i/fA98H3mvdZ9xP24fbV9ub27vbG9mL14PVr9SP1BPTy9ND0lfRN9A3z3/O+853zePNP8yjzAPLT8pzyY/Ix8g7x+fHr8d3xyPGs8YnxYvE+8SPxD/D88ObwzPCx8JPwcvBK8CPwBe/w79zvwu+i74fvd+9r71fvOO8V7v3u8u7w7u7u6u7h7s/ur+6G7mPuVe5e7nPuiO6a7qzuvO7B7rTul+537mLuYe567qvu7u8u71XvVu8x7vTusu6C7nnuo+75713vqe/L78vvv++x753vgO9n72fvjO/H8ADwJ/BF8HHwt/ER8WvxsfHb8erx6PHh8efyCPJI8p/y+fNG83/zsPPm9Cj0cPSy9OT1DPU59X314/Zp9vv3hff5+F34ufkP+VL5cPlp+VT5UPlv+a35+/pT+rX7H/uK+/D8V/zO/Vn97f5z/uH/O/+Q/+sASACjAPUBOwFyAZ0BygIJAl8CwwMjA3QDuwQCBEwElATUBRMFWAWmBfYGRAaQBtwHKAduB64H7QgzCH8IxgkFCUYJlAnwCkkKjwrCCvMLMQtzC50LnAtwCzIK/grrCwALNgt5C7QL2gvxDA0MPgyBDMYM+w0aDScNLA01DUsNbw2WDbENtw22DcoOAw5aDrcPCw9aD68QCRBdEJwQvRC4EH0QBg9lDssOYQ4lDeINWAxwC0MKAwjPB7gGzwYzBgIGPAbBB2EH+gh9CN8JGAkjCQ4I7gjTCL4IpwiJCGkITQg0CBkH9gfOB6AHbAcsBucGowZpBjQF/gXBBYEFQwUIBM0EkgRcBDAEDgPsA8MDlQNiAy4C9QK4An4CTQIpAg4B+AHiAcwBsgGRAWgBOwEUAPgA5ADTAL4ApgCMAHMAVwAxAAH/yP+P/13/M/8N/uf+wP6Z/nb+VP4z/g796f3G/ar9lP1//WX9Qv0X/Oz8yvy0/KH8i/xu/FT8Qvw3/C38H/wV/Bj8JPww/C/8I/wV/Ar7/Pvk+737jPtb+0L7YfvQ/IH9K/1z/Sb8afuf+yP7C/sw+177gPuf+8T74fvq+9770/vW++X77/vq+9z70/vY++n7/vwR/Bv8GfwL+/n76vvj+9371fvH+7j7rvup+6n7q/ut+6z7qvun+6b7pvuh+5b7ivuG+4r7j/uK+3X7Vvs1+xj7BPr3+u/66vrk+t362PrW+tb61PrN+sP6vPq4+rb6tfq2+rr6vvq8+rb6svq0+rn6uPqv+qT6ofqk+qn6qfqq+rH6wfrT+t/65Prk+uL63vrW+sz6wvq3+qz6ovqd+pv6lfqH+nL6YfpZ+lf6UvpF+jb6LPoo+iL6GfoM+gD5+Pnx+ef53PnS+cv5xPm6+a35n/mQ+YH5c/ln+Vv5Tfk6+SL5Bvjo+Mr4rPiO+HP4W/hH+DX4JPgQ9/j33vfF97H3oPeS94L3cvdg90r3L/cO9u/21PbA9qv2k/Z29lf2PPYm9hX2BPXu9c31nvVo9TL1BvTl9Mz0tPSb9H/0X/RA9CP0CvP089zzv/Og84LzZ/NP8zfzHvMH8vDy1/K78p/yh/Jy8l/ySfIy8hryAvHp8c7xtfGg8ZHxg/Fy8VvxQPEg8P/w4/DP8MbwxPDE8MDwuPCr8JzwifB18GTwWPBS8FDwUPBR8FLwUvBO8EnwQ/A88DXwLvAn8CPwIvAi8CDwHfAc8B7wI/Ar8DjwTfBp8IfwpfDD8OHw/fEO8RDxB/EG8SDxYfHB8ijyffK18s7y0PK+8pnycvJq8qjzMPPV9FH0dvRQ9BXz8/Pu8+/z6/Py9B70avSw9Mr0uPSb9Jj0uvT19Tf1e/W99fr2M/Zp9qD2zPbb9sT2m/aE9pr21/cg91z3g/eg97j3yvfS9873xPe697X3uvfL9+P3+vgN+Cb4UviS+M344fi9+HH4Hfff97j3lvdp9yz24faP9jj14PWR9VT1L/Ud9RP1BvTx9Nf0vvSq9KD0pPS29NT09fUP9Rz1G/UO9Pn04vTO9Lz0qPSJ9GH0O/Qk9CH0L/RF9Fz0c/SF9I30iPR+9H30i/Sh9LP0vPS+9L/0wPS99LX0svS79Mr00/TK9LT0nvSV9Jn0nvSc9JT0kPSS9JT0jPR29Fn0QvQ79Dz0MfQN89bzpPOR86Lzx/Pn8/Dz5PPK86jzffNG8xDy6/Li8vTzFfM6817zgfOc85zzc/Mg8rfyVPIH8c/xovF78VrxOPEJ8MbwePA88CvwQfBY8EjwBu+q71PvE+7h7rLuhu5o7l/uZu5t7m/uce587pLure7I7uHu9+8I7w7vCu8E7wfvGO8z71Pvcu+Q767vy+/s8BPwQfBz8KXw0/D68RzxOPFO8WLxd/GS8a/xyvHm8gjyNfJq8qDyz/L58yfzXvOX88fz5/P89BH0K/RI9GL0fPSe9M31AfUu9Uv1XvV39aX16PYy9nT2q/bh9xv3XPeb99j4Gfhk+Lj5BPk++Wz5pPn7+nT69vto+7z79/wp/F38lfzV/SH9eP3T/iT+ZP6d/t7/NP+bAAYAZwC7AQoBWgGwAgkCYgK4AwsDXQOwBAMEVwSrBP8FVgWyBhMGdgbZBzoHlgfvCEMIkwjkCTYJigndCi8KgwrYCy4LgQvRDCEMdAzHDRcNXw2mDfIORQ6ZDucPMA95D8YQFBBYEJEQwxD6ETYRbxGcEbkRyRHVEd4R6RH0EgMSFxIuEkQSVRJfEmcScBKAEpUSqRK0ErISqhKkEqcSrRKvEqkSoBKWEowSfBJkEk0SQBJAEkYSSxJEEjMSGRH3EdMRshGVEXoRWBEsEPkQyhCnEI8QfhBsEFgQQBAoEBMQBxAGEBAQIhA6EFkQfxCoENURBxFCEYIRwhH6EiwSYhKfEtYS8RLhEqcSVBH8EbARexFpEXcRlxGzEb0RvBG4EbIRmBFfERAQzRCwELwQ1xDoEOkQ6RD4ERkROxFGESYQ2hBwEAoPxg+vD7kPzQ/gD/YQGhBHEG8QiRClEOARSBHKEj8SixKwEsQS2RLrEu8S4RLNEsASwRLMEtgS5BLtEzQTEBLfEq4SkRKOEpgSlBJzEjQR6RGlEW8RPxEGEMAQcxAoD+cPsQ+KD30Pkg/HEAkQPRBXEFoQVBBOEEsQRhA9EDAQGg/3D8MPgw9BDwgO4A7KDscO0g7eDuIO3Q7YDtkO3g7XDrkOhg5MDhkN8Q3WDckNzw3kDfUN5Q2eDSUMlAwNC6ULYAs2CyELHAshCyQLFAroCp8KQgnaCWgI6QhbB8IHJgaPBfwFaATRBEEDzQOVA7AEJgTsBekG+gf/CN4JiAn7Cj4KWwpYCi8J2AlRCKUH7QdDBrYGPQW9BRkESQNxAtQCrAL8A4cD7QP1A6oDUwMyA1oDuAQ5BO0F7wc2CIYJkAopCmIKaApeCkgKHQnaCYMJHgi5CHUIfQjpCZgKPwqbCpwKaQoxCgcJ4gm3CYcJXgk/CSMJAgjWCJ0IVQgFB7gHdwc/BwIGtQZcBgQFtAVmBRIEugRpBCUD6gO0A4sDfgOPA7MD2wQGBEAEjwTqBTgFZAVpBU4FIwTzBMAEigROBA0DzgOSA00C8QJ5AfUBfgEiAN4ApwB8AGQAYQBcADf/5P9y/v7+nf5M/f79rf1h/R/86Pyy/HH8JPvU+5H7aPtY+1D7P/sc+u36u/qL+l/6OPoX+fr52vmt+XD5IvjA+Er3xvdK9ub2nPZf9iH15PW49ab1qfW69d72GvZh9pX2ofaU9pH2q/bI9r72h/ZN9kH2YfZ39kz11vU/9Lv0YvQy9Cf0Q/SI9OL1NfVh9VT1BfSE8/vzofOd8+H0NPRi9GX0YPRr9H30ePRV9Dn0T/Sb9PP1LfVH9Wf1tvY29sn3Tfet9+X38ffT95j3YPdL91r3bvde9xP2ofYz9e712fXc9c/1mfU89Mr0WvP686nzZPMq8v3y3fLC8qPyfPJQ8inyDfH88e7x3PHD8aHxffFb8T7xJvEO8PTw2vC/8KLwgvBh8ELwK/AY8ADv3++876Pvme+S73/vYe9D7zLvLu8p7xzvC+7+7vju8u7o7uDu5O7z7wTvDu8X7ybvPe9P71HvRe837zPvOO9D71bvdO+Z77jvwO+r737vR+8a7wzvK+9379XwI/BK8E/wQ/A08CLwBu/p79vv6/AT8DzwVvBl8HrwqfD18VLxpvHg8fbx8vHj8d/x9PIp8nfyzvMg82Hzk/PB8/X0MfRv9KT00vUH9Vr11vZx9wv3iffi+CX4aPis+OT5APkE+Qb5IPlY+aP59/pT+rv7KvuU+/X8WPzN/Vn97P5v/tr/Nv+Q/+0ASwCmAPwBRAF3AZUBrgHdAjECoAMSA3IDvgQCBEgEkATXBR4FaQW5BgwGXQatBvsHRgeMB80IDQhQCJMI0QkOCVQJrQoTCnMKvArvCxoLRwtzC40LigtvC08LOwtAC14LkAvJC/sMHgw5DFkMiAzGDQUNOw1lDYMNmQ2sDcAN2g30DgUOBQ39Df0ODA4sDloOng8CD4QQCBBuEKUQrxCTEEoPyg8gDnMN7Q2QDTMMnwu5Co4JQwf/BuYGIAXOBfoGhAczB9cIWgi+CQgJNglBCTAJDwjqCMQIngh5CFwIRggxCBcH9gfRB6gHdQc0BusGpgZtBjwGCAXNBY0FUQUZBN8EoQRmBDIECAPiA7oDjwNjAzQC/wLFAowCXAI6AiECDAH1Ad0BwgGhAXsBUgEsAQ0A8wDYALkAlABuAEoAKQAI/+L/tv+H/13/PP8g/wT+4/69/pb+bP5A/hP96f3H/av9k/14/Vf9Lfz+/NH8sPyc/I78e/xh/Ef8OPw0/DD8Jvwe/CD8Lfw4/DP8IfwO/AL79vvc+7H7fPtR+0r7ifwq/R3+FP6Y/lb9Yvw0+1L6/PsT+1D7hfut+9T7+fwK/AH77vvk++f78Pvx++v75/vu+//8Fvwq/DP8L/wf/Av7+/v0++/75/va+837xPvB+8H7wvvD+8L7wPvB+8b7zPvM+8T7uvu2+7n7uPun+4P7Vfsr+w/7APr5+vX68Prp+uL63/re+t762frQ+sn6x/rJ+sf6wPq7+rz6wPrC+r/6vPq++sL6w/q7+rL6rvqx+rT6tPqz+rj6xPrR+tf61/rX+tj61/rR+sj6v/q4+rD6qPqi+p/6mvqP+n36bfpk+mH6XfpT+kb6Pfo2+i76IfoS+gX5/fn0+ej52vnP+cf5wPm2+av5oPmV+Yr5fflw+WP5VflG+TL5Gfj8+N34v/ij+Ij4bfhU+D34KvgW9//35PfJ97L3ofeQ93/3bPda90b3L/cU9vr24vbM9rP2lfZ09lb2PvYq9hb2AfXn9cb1m/Vp9Tj1EfT29OD0zPS19Jr0e/Rb9Dv0HvQD8+rzzvOx85TzefNg80jzMfMd8wjy7/LT8rfynvKJ8nPyWvJC8izyFvH98d/xwfGo8ZbxhvFx8VbxOPEY8Prw4PDO8MbwxPDB8Lnwq/CZ8IXwcvBh8FPwSvBI8EnwTPBO8E7wS/BE8DzwNfAv8CrwJPAe8BnwFvAT8A/wC/AL8A3wEvAa8CbwO/BU8G7whfCb8LPwzPDd8N7w0/DJ8NXxBPFT8bLyEPJe8pjyufK68pzybfJT8nXy4vN08+v0GPQA89XzwvPM89jz1PPO8+b0I/Ro9I/0jPR49HX0lPTL9Qv1TPWL9cj2AfY69nb2sfbZ9tr2uPaN9nz2l/bQ9wz3NfdI91L3ZPeE96r3yvfY99f3z/fI98P3wPfK9+34Lvh2+KP4nPhi+BD3w/eH91j3LvcG9t32sfZ49jL15PWa9WL1QPUz9TL1M/Uu9R71CPTy9OX05PTt9Pr1A/UK9RH1GvUj9ST1GfT/9Nv0sPSC9FP0KfQL8/nz8vP19AL0F/Qt9Dr0PPQ99Ev0a/SR9K70vPTD9Mr00fTS9Mz0y/TU9OP05/TZ9L70qfSk9K30tfS19LL0tfS99MH0tfSY9Hb0W/RK9Df0FPPh87LzoPO48+/0JvRC9Dv0GvPq86/zafMl8vfy8vMU80jzdvOR85/zpfOe83vzNvLa8n7yMPHz8bzxiPFa8TXxE/Dn8Kvwb/BL8EjwVfBN8Brvw+9j7xbu3+6x7oLuVe407ifuKO4u7jfuQ+5W7m7uhu6e7rbuzO7a7t3u1+7T7tju6u8E7yLvQu9k74bvqu/Q7/vwK/Bd8IzwtvDd8QPxJvFC8Vnxb/GJ8abxwfHb8fnyIfJT8ofytvLg8wvzPvN186fzzPPk8/b0BvQY9C30RvRr9Jv00fT/9R/1NvVQ9Xr1tfX49jn2dPas9un3KPdm96H34fgt+IP41vkW+UL5b/mz+hn6k/sI+2b7qvvf/A/8P/x2/Lf9Cf1p/cz+J/56/tD/Mf+dAAkAZwCxAO8BLgF4AdACMAKPAukDPQOOA+AEMwSGBNsFNAWSBfUGWQa4BxQHbAfCCBgIbAi/CREJYwm2CgoKYgq8CxgLcQvFDBMMYQyvDP0NSg2XDeYONA58Dr8O/g9DD44P2hAdEFUQiRDBEPsRLxFTEWURcBF9EY4RohGzEcERzxHeEe4R/BIHEg8SGBIpEkISXRJvEnISahJlEmoScxJyEmESRBIrEhsSEhIFEe8R2hHNEckRxRG3EZ0RfRFfEUURMBEdEQoQ8hDUELEQixBnEEcQLhAaEAsQAA/6D/sQAxARECIQNhBPEHAQmRDJEPwRNRFzEbcR+RI0EmoSoBLREu8S5xK2EmgSEhHGEY4RdBF/EawR4xIKEhISBBHwEdsRuRGEEUkRIBEWESERJxEYEP0Q5BDUEMcQsxCVEGwQOA/5D7sPjQ9+D4kPng+4D90QGBBmELAQ5xEREUkRohIUEn0SxhLuEwQTFRMhEyATFhMRExoTLxNCE0wTTRNGE1ATLxMFEt4SxhK/ErkSoRJqEh0RyhGBEUoRHxD0EL0QdRAeD7sPVA75DsIOvw7uDzUPdQ+ZD6YPrA+4D8YPzA/ED60PjA9hDzAO/g7TDrMOng6SDo4Ojg6QDo8Oig6HDooOkA6ODncOTA4VDeANtQ2TDXwNcg12DYQNiQ1yDTIMzwxdC/MLngthCzoLJwsfCxcLAQrVCpUKSQn2CZoJLgisCBoHgAbmBk8FuAUiBJEEDwOtA4EDngQSBNkF2QbmB9EIfQjoCSMJQwlICSQIwQgfB1QGhQXRBUEEyQRUA9EDRALBAm0CYQKbAvcDQANOAyYC6wLJAtYDFwOSBGAFlQceCLMJ+wrACwkLAArOCoIKHAmhCR4Iogg+CBEIPAjFCYQKKgp6Cm4KNwoICe4J1gmrCXIJPAkTCPIIzAiaCFsIEQfCB3YHMwb0Bq4GWgYBBawFXAUHBKYEQwPrA6MDYAMcAuYC0QLjAwwDNwNhA5oD7gRTBKwE5AT5BPUE5wTRBLAEgQREA/0DtwN6A0IC/wKgAiMBmAESAJ8AP//3/8j/sP+a/2z/Gv6w/kf98v2z/X/9S/0V/OH8svyE/E/8D/vJ+4/7bftf+1H7Lvr1+rX6fvpS+iv6Bfnn+df5zfm3+YH5Jviw+DD3u/dh9yX2/fbY9qv2fvZc9k32S/ZW9nj2tPb69yj3K/cV9wz3H/c09yn2/fbW9tb28Pbt9qb2KPWl9Ub1CvTY9KT0evRq9HX0ifSN9Gr0FPOU8w/yu/K58vnzRfNz84fzpfPh9CH0OPQf9AT0JPSL9Qv1ZfWD9YX1oPXw9mr27/dj97X33vfd9733lfd993n3efdj9yj20fZ59jr2HPYQ9fr1xfVt9P/0k/Q08+bzofNi8yzzAvLi8sbyo/J48kvyJfIJ8fTx4PHI8a7xk/F48VzxPfEc8Pzw3/DG8KzwkvB38F/wSvA18Bbv8O/O77vvuO+376nvj+9372vvZ+9c70HvI+8Q7w/vF+8f7yfvN+9K71fvV+9T71fvaO9674LvgO+D75Lvp++678jv2+/38BXwJvAe8ADv2u+777Xv1PAX8GjwrPDO8M/wwfCy8KLwjfBz8F/wXPBq8HzwhfCD8ILwmPDQ8SXxhPHP8fTx9vHn8d7x6/IV8lfypfLx8y7zV/Nz85PzxPQE9Er0kvTl9VL14faA9xD3dvex99j4BPg7+G74kPik+L/48fk8+ZL57fpP+r37L/ua+/v8YPzV/Vz95P5e/sf/Kf+L/+0ATAClAPsBRwF+AZ4BtwHmAjkCqgMfA4IDzgQQBFMEnATnBTQFhAXXBi0GgwbXByUHbAerB+cIIwhjCKQI4gkjCW8JygouCosK1AsGCyoLSgtjC3ILdAtxC3ELfQuTC7IL1wv+DCMMRgxqDJcMzw0QDVINjQ2+DeIN+w4MDhoOKQ41DjoONQ4sDiQOHQ4YDiAOTw65D1AP5xBNEHAQXhAyD+4PiA77DloNww0/DLUL/gsCCcYIaAcXBgoFdgV3BfwGywecCDwIpgjnCRMJLgk2CS4JFwj1CMwIoAh6CGEIUQg/CCQIAAfWB6oHdAczBuwGrAZ5Bk0GHQXiBaQFagUzBPoEugR4BDsECAPdA7MDigNhAzcDCALSAp0CbgJMAjICHQIFAekBywGqAYkBZwFFASEA/QDYALIAiQBdADEACv/p/8r/qf+F/2T/Sf80/x3/AP7b/rH+gv5O/hv97f3I/aj9hv1g/Tb9Cvzf/Lj8m/yL/IL8dvxh/En8O/w4/Dn8NPwt/C38Nvw+/Dn8KPwW/Aj79vvT+6L7cPtM+0f7ffwV/Rj+R/8c/xr+LfzG+4769/r6+0j7lfvH++r8CPwZ/Bf8CPv8+/n7+vv2+/D78fwA/Bj8MfxC/EX8Pfwu/B78EfwJ/AL7+fvv++j75fvj++D73fvd+9773/vh++T76/vz+/n7+/v5+/P74Pu8+4r7Vvsu+xj7DvsL+wj7Avr6+vP68Prw+u/66frf+tn62vre+tv6zvrB+rz6wPrG+sj6x/rI+sz6zvrJ+sH6vvrA+sT6w/rD+sf6z/rW+tb60vrR+tP61vrU+s76yPrC+rr6r/qm+qD6nPqT+oX6d/pt+mj6Y/pa+lD6R/pA+jb6J/oY+gz6BPn6+e353vnR+cj5vvm0+ar5ovmc+ZT5iPl5+Wr5XPlP+T/5KfkN+O/40vi5+KD4hfho+Ev4NPgg+Ar38ffV97z3pveS9373a/dZ90f3Mvca9wP28Pbe9sT2ovZ+9mD2SvY29h72AvXl9cX1oPV29U31LPUU9P/05/TN9K/0kPRw9E/0LvQQ8/Xz2vO/86Pzh/Ns81PzP/Mu8x3zB/Ls8s7ytPKc8oPyaPJQ8j3yKvIS8fLx0PGz8Z3xiPFs8UvxKvEM8PLw3fDN8MXww/C+8LLwoPCK8HbwZPBV8EvwRvBG8EjwSvBK8EjwQfA28CvwIvAd8BrwFvAQ8ArwBfAC7//v/O/87//wA/AK8BbwKfA/8FTwY/Bz8IfwoPCz8LfwrPCf8KbwzfET8WvxxfIV8lfyifKq8rTyq/Kh8rXy9vNY863z0fPC86LzmfOr88DzwPO087zz7PQw9GH0afRU9EX0VfSG9Mz1FvVa9ZX1xfXy9ir2bfat9tD2x/af9nf2bfaF9q72zfbd9uf3Afc093b3tPfb9+n34ffJ96f3iveK97j4CPhR+Gv4R/f996/3b/c79wn21/aw9pb2f/Zc9in16/Ww9X/1XPVI9UT1SPVJ9T/1LPUb9Rj1JPUz9Tn1MfUg9Rf1H/U39U71U/U89Qz0zPSH9Eb0DvPh87/zp/Oa857zsvPP8+rz/fQR9DH0YPSP9LH0wfTL9Nj05vTt9Or05PTl9Oj05fTV9ML0uvTB9Mz00fTO9Mz00vTZ9NT0vvSb9Hj0XvRH9Cfz/PPR87zz0PQF9EL0ZvRg9Dj0AfPH84rzSPMQ8vjzDfNE837zofOo86HzkvN280Dy8fKb8lDyFfHe8aHxYvEu8Qrw7PDI8JvwdfBk8GHwU/Af78XvXO8B7sPume5z7knuIe4F7fjt+e4C7hHuIu417kXuVe5o7n3uku6f7qTupu6q7rXuxe7Y7u/vDu80713vhu+v79nwCPA48GbwkfC68OLxCfEo8ULxWfF08ZPxs/HR8fHyGPJH8nnyqvLZ8wXzMvNf84jzqvPG893z8fQE9Bf0LfRK9G30l/TC9O31FvU99Wj1l/XK9gH2OvZ29rT28/cx9233rPf2+Er4n/jn+Rz5SPl/+c76MPqW+vD7PPuB+8f8DvxV/Jv85v09/aD+CP5s/s7/MP+X//oATwCSAMgBAQFIAaICBwJsAssDIgNzA8QEFQRoBL0FFgVzBdIGLgaGBt0HNQeQB+wIRgicCO8JQgmTCeUKOgqUCvMLUgusC/0MSQyVDOUNOg2QDeMOLg5vDqoO5Q8lD2gPqA/gEBIQQxB3EKoQ1BDtEPoRBhEaETcRVhFtEXsRgxGLEZYRpRGwEbURtRG5EcoR5hIBEhASEhIUEiASMhI3EiAR9RHJEa8RpBGYEYERYRFHETsRNREqERQQ+RDgEM0QvBCqEJcQhhB2EGYQTxAxEBAP8g/eD9YP2A/kD/YQDBAjEDcQTBBkEIQQrhDgERoRXRGqEfsSRhKDErIS1RLqEuYSxBKIEkQSBRHUEbMRqxHLEg4SXRKVEqQSlhJ/EmUSOxH3EaYRZBFBETcRLBETEO8QyRCgEHEQPxAXEAEP9Q/hD8APnQ+KD4oPlg+oD8oQDRBuENURLBFyEbsSGRKEEuETHhM6E0UTSxNME0YTQBNHE14TeROIE4YTeBNmE14TSRMvExYTAxLwEtESnBJTEgERsRFtETgRDRDmELYQcxAVD6APHA6cDjgOAg39DhgOPA5aDnQOlA6/DuoPBQ8HDvEOzw6qDokOcg5nDmUOZA5eDlIORQ48DjcONQ40DjYONw40DiMOAA3RDaANdA1TDTsNLg0uDT0NUA1UDTYM8QyPDCULxwt9C0kLKQsWCwUK7ArDCo0KUQoRCccJbgkACIAH8gdZBrsGIAWOBQkEjQQXA7UDgQOcBBcE3wXEBpAHIAd1B6cHywfbB7kHTAaWBb4E8QRLA80DYQL3Ao4CNgH+AfACBwI3AnACnwKzAqkCjgJ4AoACuQM2BAoFPwbDCFgJrwqNCucK2AqHCg8JfgjiCFEH3QeZB5wH+AimCXMKFQpYCkUKEwnzCesJ3QmuCWYJGgjcCKkIdAg4B/gHtAdtBycG4gacBk4F9QWbBUYE8wSYBC4DwwNnAxoCzAJ5AjACDgIeAk0CggK7AwQDZgPQBCQEUwRkBGwEcgRzBGQERQQYA+ADogNiAyMC3wKHAhcBkgEGAIEADP+t/2f/OP8R/t7+k/42/dn9jP1R/SL89PzD/Jb8cfxS/DH8A/vK+5j7evts+1f7Jfrc+pP6XPoy+gX5zvme+Yv5kvmU+W35D/iN+Ar3qfd192T3Yvdd90/3Pfcv9yP3FfcM9xf3Pfds94b3evdb90n3UPdb9073LfcV9xv3Lfce9tr2cvYR9cj1h/U09MT0SfPd84zzVPMo8vHynvIp8a7xXPFQ8X/xv/Hy8iXyevLz82XzmvOO83rzqvQz9OX1bvWl9aD1mvXC9iD2l/cF91P3gPeS95b3kfeG93H3Tfcb9tv2lfZT9hz19PXW9bX1hfVC9PT0pvRi9CXz6vOu83LzPvMV8vPy0fKq8oHyWvI48hrx/PHe8cLxqfGP8XLxUPEv8RDw+PDh8MrwsPCW8H/wa/BV8DfwE+/z7+Lv4O/h79fvwu+r753vk++C72XvSO867z/vTO9V71zvae9674fvh+9/737viu+Y75/voO+o77/v3+/78BLwLPBR8HvwmPCe8I/wdvBk8GXwgvC28PPxIvE28TDxH/ES8QvxBPD38Ofw2PDP8Mnwv/Cr8JXwkPCv8PjxV/Gr8drx4/HX8dLx3/IA8i7yZPKa8sjy6vMF8ynzYfOw9A/0dvTn9Wj1+faI9vr3Qfdn94P3rffm+B/4Sfhq+JX41vkr+Yr57PpV+sX7Nvuh/AT8a/zd/Vr91P5E/qz/Ff9+/+QAQgCbAPMBRAGGAbcB4wIeAnMC2gM/A5cD4AQjBGoEtgUGBVkFrAYBBlgGrwcCB0sHiQe/B/IIKwhqCLAI+AlCCZAJ5Ao6CooKzAr/CyMLPwtUC2ULcguCC5cLsgvPC+oMAwweDD4MZQyTDMgNBA1DDYANtA3bDfUOBw4WDiUOMQ42DjMOMw4+Dk8OWQ5RDkYOWQ6lDyEPng/rD/gP3Q+5D5UPYQ8GDoIN4Q0uDGELbApACOIHcAYjBT0E9QVTBigHJAf+CJQI6wkbCTUJQglCCTkJJgkKCOMIuAiSCHgIZghQCDAIBQfVB6EHaAcnBuUGrAaCBl4GNQYBBcYFiwVTBRcE1ASNBEoEEQPiA7YDiwNhAzcDDALeAq4CgAJbAj4CJgIOAfMB1AG1AZkBfgFeATUBBgDZALMAjgBlADgAC//n/8v/sf+U/3f/X/9K/zP/Fv7w/sX+k/5d/iX99P3K/aP9eP1I/Rn88PzN/K38lPyG/IH8e/xs/Fj8SfxG/Eb8Qvw7/Dn8PvxD/D38MPwi/BP7+fvO+5z7dfte+1H7X/u4/I39wP7Q/x7+av0M+7v7CPsI+2f7xfv5/A78Gvwk/CX8IPwd/Bv8E/wD+/T79vwN/C78S/xY/Fb8TPxA/DX8Lfwl/Bv8EfwK/Ar8DPwL/AT7+/v6+//8BfwH/Af8DPwc/DD8P/w6/B/77/u2+4D7V/tA+zT7Lfso+yL7HPsT+wr7A/sA+v/6+/rx+un65vro+ub62/rN+sb6y/rS+tX61PrT+tb62frY+tT60/rW+tr62vrZ+tv64Prk+uL63vrd+uD65Prk+uD62vrT+sn6u/qv+qj6pfqd+pD6gPp1+m36Zvpd+lL6SvpC+jf6KPoa+hD6CfoA+fT55vnZ+c75w/m4+a75qfml+Z/5lPmF+XT5ZflY+Un5Nvkc+P744fjK+LX4nfh/+GD4Rfgw+Bz4BPfp9833s/ea94L3bvdc90r3NPcd9wn2/Pbv9tr2uPaR9nL2WvZE9in2CvXp9cr1qfWF9WP1R/Ux9Rz1AfTh9L/0nvR+9F70PvQg9ATz6fPN87LzlvN682DzS/M88y7zGvMA8uTyy/K08pzyg/Js8ljyRfIq8gjx5fHH8a3xkfFt8UXxIvEG8PDw3vDQ8MfwwvC58KrwlfCA8G3wXfBQ8EjwRfBF8EbwRPBA8DrwMvAm8BrwD/AJ8AXwAe/77/bv8+/y7/Hv8e/y7/Tv9+/88AbwFvAq8DvwR/BS8GPwevCP8Jbwj/CF8IrwrfDt8T7xkPHW8g/yRPJ+8r3y9PMa8zPzTfNx85LznfOL83DzavOD86PzsPOl85/zufPw9CP0NPQj9A30EvQ89IL00vUc9Vj1hfWr9df2FfZd9pr2tPan9oP2ZfZb9mP2c/aD9pj2v/b890b3jffB99v32fe694j3Xfdc95X37/g2+ED4Cve49273OPcJ9tb2pvaG9nb2ZvZG9hf15PW29Yz1ZPVB9Sv1IvUc9RD0//T39Qf1LvVZ9XP1cPVa9UT1QvVW9XP1gvV19Ub0/PSh9EPz7fOp83nzXfNS81zzefOl89Pz/fQl9FT0ifS49NX03/Tl9O/0/vUG9QP0+vTz9O305PTY9M/00vTd9Ob05/Tm9Oz09fTz9Nv0sfSE9GX0U/RB9CTz/vPi8+P0BvQ79GL0YfQ18/TztvOG817zOPMa8xfzNfNn85HzoPOX84PzafNB8wDyr/Jh8iTx8fG58XXxMvD/8OLwzvC28Jvwh/B68GLwJ+/C70ru4O6Z7nHuVe407g7t6u3T7cvt0e3g7fTuBe4P7hPuF+4i7jPuR+5Y7mfudu6G7pbuou6u7sHu4O8K7zfvYO+G763v2vAM8D/wb/Cc8MXw6vEJ8STxP/Fb8XvxnPG+8eLyCvI28mjynPLQ8wDzKfNL82jzh/On88bz4PP29Ar0HfQv9EL0W/SB9LX08vUt9Vz1gvWl9dD2BfZC9oH2wPb+9z33fvfG+BT4Zfix+PL5KPlf+aD57vpA+o/63Psy+5f8CPxy/Mr9Ef1U/aL9/P5b/rb/D/9n/74ADwBVAJQA1wEmAYUB7AJRAq4DBANWA6YD9wRKBKEE+wVWBa8GBAZXBqwHBQdjB8EIHQh2CM4JJgl7CcwKHQpxCswLLAuKC+EMMAyADNQNLw2LDeAOKg5pDqQO3g8YD04PfQ+kD8oP8hAeEEcQZxB6EIgQmBCxENMQ9hESESQRLRE1EUMRVBFjEWURWxFQEVMRaxGMEagRthHAEdAR5xHyEeARshF8EVQRPhEpEQgQ3RC3EKMQnRCaEJEQgxB1EGgQWBBEEC4QHRAUEA8QBQ/yD9kPww+3D7gPxA/XD+4QBxAgEDoQVRBxEJEQtRDiER4RbhHPEjUSihLBEtkS2hLKEqsSfRJKEiESBxH0EeQR3xH2Ei8SdRKnErQSqBKYEoQSVxIDEZYRNhD+EOwQ4xDOEKgQdxBAEAgP2w/HD88P4Q/lD9IPtQ+jD58Png+dD6wP3BA0EJ8RCxFzEeYSZxLkE0ETcBN+E38TghOEE4ITghONE6ITtBOzE6AThhNwE2oTUBMxExQS+BLYEqkSaRIgEdgRlxFcEScQ+BDJEJEQRg/iD2oO5Q5fDeINfA00DQwM/w0FDR8NTA2JDcYN8w4IDggN/A3vDegN6w35DgwOGQ4YDgkN9A3kDdwN3A3dDdwN2Q3TDccNrw2LDWENOg0cDQoNBA0KDRwNMg07DSQM5gyKDCQLxwt7C0QLIAsICvUK3Aq3CogKVAodCd8Jlgk/CNoIZAfZB0AGpgYbBaAFKwSvBC4DwgORA7QEIwS4BUMFpwXnBhYGQAZSBigFrQTuBBoDYgLaAncCHgHDAXEBQQFAAWcBnwHUAf8CIgI+AkwCSwJLAmYCsAM1A/IE5wYJBz4IVgkfCX8JgAk/CNkIYQflB3QHIgcIBz8H0gitCZMKOQpzClUKHAn4CesJ0gmUCTcI2AiHCEUIBQfHB4sHUgcWBtQGjAY+BegFjAUyBN8EjgQxA8IDUALrApECMwHMAXABQgFQAYcBzgIfAoQC+QNmA6oDwAO/A8QD1APhA98D0AO7A6IDfQNGAv4CrgJXAfQBggEDAIAABf+h/1r/Lv8N/t/+l/46/df9gf08/QT80fyh/HX8VPw7/CH7+vvI+5v7gPtx+1j7IvrY+pj6cfpT+iH50/mC+Vf5Wflo+VP5APiC+Af3tPeU95b3pfey97z3x/fR99D3wPeq96D3rPfA98b3s/eW94T3gveB93H3VvdF90b3S/c69wj2w/Z89jT12fVc9L30CvNY8rXyL/HJ8XfxHvCv8Djv4O/E7+HwFvBT8KTxIvHF8lvysPLC8srzEfOz9IX1O/Wh9br1tvXK9gr2Zva/9wD3KfdL93D3kfeX93b3Mvbf9pD2TvYZ9e71y/Wu9ZD1a/U59Pv0ufR59Dz0AvPK85XzZvNA8yDzA/Ll8sXypfKF8mTyQPIb8fjx2PG58Zrxe/Fe8UXxLvET8PTw0/C38KLwlPCF8G/wUvA08B3wEfAK7//v7O/W78Lvsu+g74vve+9674Xvj++P74rvi++V76DvpO+l767vv+/Q79fv2O/g7/bwFPAw8EjwafCZ8NPxA/Ec8RzxDvEB8QDxEPEw8VfxdPF88XLxYvFZ8V3xZfFo8V3xSPEw8RrxAfDg8LjwmvCh8NnxMfGD8bHxuvGz8bXxxPHZ8erx+/IU8jnyavKp8vXzUvO79Cz0ofUb9Zv2GvaI9tb3BPcj90n3g/fI+Aj4OPhf+I/41Pks+ZD5+fpk+tL7Pvul/An8cPzf/VL9wv4u/pr/B/9x/9MALgCJAOUBPgGNAdICFgJlAr0DFANkA6oD7gQ2BIQE1QUqBX8F1gYsBoIG1QcjB2cHngfOB/0INAh1CL8JDgldCaoJ8wo5CnwKugrtCxULNQtSC24LiQujC7wL1gvxDAkMIAw7DF0Mhwy1DOMNEA09DWkNjQ2mDbgNyw3jDfwODA4QDhIOKQ5dDp8OzQ7TDroOqQ7CDwEPRQ9rD2sPXQ9YD2IPYg86DtYONQ1bDFELGAmuCB8GjwVFBJAEnQVZBnMHiAhcCOUJOwl1CZcJoAmRCXUJVAkxCQsI4gi6CJcIeAhXCC8IAQfPB5sHYwclBuYGrgaEBmUGRQYdBeoFsAV0BTQE7gSmBGIEJwP1A8UDlANkAzYDDgLoAsAClQJrAkcCKwISAfcB2QG8AaQBjgFxAUgBFgDoAMUAqQCHAFwALgAH/+z/1P+5/5z/gv9r/1H/MP8G/tb+ov5q/jH9/P3P/aX9dv1D/RL86/zN/LP8nfyO/If8g/x5/Gn8XfxX/FX8T/xI/Eb8SfxK/EL8NPwo/Bn7/PvM+5z7gft1+2H7RPtV+9/85f37/nj+Avzb+7H7G/sy+6L8CPw5/ET8RfxG/EX8QvxC/EH8Nfwc/AX8Avwa/D/8XPxo/Gb8X/xZ/FT8T/xH/Dz8MPwp/Cn8LPwp/B78EfwR/B78Lfwy/Cz8Kvw5/FX8afxf/C374/ub+237Xftd+1z7UPs/+zH7Kvsk+xr7DvsI+wj7CfsD+vj67/rs+uv65vrf+tv63/rm+uf64/rf+uH65frn+uj66vrw+vX69vrz+vL69Pr3+vr6+vr7+v36//r9+vj68fro+tr6y/rA+rr6t/qu+p76jPp/+nj6cfpn+lv6UPpF+jj6Kfoc+hP6DPoE+fn57vnk+dn5zPnA+bf5svmw+av5ovmV+YT5c/lk+VX5Rfkv+RL48/jZ+MP4rfiR+HL4VvhA+Cz4Fvf799/3w/en94v3c/df9033OPch9w/3BPb89ur2yfaj9oH2ZvZO9jH2EfXx9dL1s/WR9XL1WfVF9S/1E/Tw9Mv0qPSI9Gr0TvQ09Brz/fPg88Pzp/OM83LzXPNM8zzzKvMS8vny5PLR8r7yqPKS8nvyYvJC8h7x/fHi8cjxqPF98VDxKvEO8Pnw5/DY8M3wwvC08KHwjPB58GjwWPBK8EDwPfA98DvwNfAt8CXwHvAV8Arv/+/47/Pv7+/r7+fv5u/n7+jv6e/r7+3v7+/x7/bwA/AV8CbwMvA68EXwV/Bq8HXwdfBx8HXwj/DC8QjxU/GV8cjx+PI28ovy6vM482DzavNp82zzbfNi81LzUvNv85zzt/Ox85rzk/Op883z4/Pi89jz4PQD9D30gvTI9Qn1QPVs9ZT1xfYC9kX2e/aV9pD2ePZe9lD2UfZj9oT2s/bu9y/3bPee97r3uvea92f3P/dG94j35vgp+Cr37feZ90/3Fvbk9rb2lfaI9oT2cfZF9gr11vWv9Yn1WfUj9Pb02vTH9LX0o/Sg9Lv09PU49XD1jPWN9X/1d/V99Y/1nvWb9Xj1MPTH9E3z1vN680bzOPNF82TzkfPI9AL0OPRs9KD00/T89RD1EfUM9Qz1EfUT9RD1CfUE9QD0+vTy9O307fTv9O/08fT99RT1JfUZ9Oj0o/Rq9E30R/RB9C30D/P68/70GvQ59EL0J/Pt863zffNm813zVfNN81DzY/N+84/zjvN982XzRvMU8s3yfPI08fzxyfGN8UfxCfDh8M7wxPC38KjwmPB78DvvzO9B7r/uZ+4/7jDuHu3/7dntt+2i7ZztpO227czt2+3f7dvt1+3b7ent/O4S7ivuRe5e7nDue+6I7p3uv+7o7xHvNe9Z74Hvsu/p8CHwVvCE8Kzwz/Dv8Q/xLvFN8WrxhvGl8cfx7fIY8kfyfPKz8ubzDfMp80LzYPOD86bzwvPY8+30A/QW9CP0MfRN9ID0xPUI9Tr1W/V39Zz10fYP9k/2jfbN9xD3Vved9+X4L/h6+MH5AvlB+YT5zfoY+l/6p/r9+2/79vx8/Ob9Lv1k/Z395P40/oP+z/8c/27/wgAVAGQAtwERAXIB1QI0AosC3gMvA4AD0gQoBIIE3wU6BZIF5QY5BpAG6QdDB5oH8AhJCKYJBQlhCbcKBwpXCq0LCwtrC8gMIAx1DMwNJg1/DdEOGQ5ZDpQOzA7+DycPRw9iD38PoQ/FD+YQARAVECcQOxBTEG8QjhCqEL8QzhDcEO8RCREjES8RKBEXEQ0RGBE1EVURahF3EYQRlBGcEY8RaBE1EQcQ5BDCEJYQYhA1EBkQDhAMEAsQCRAHEAIP+A/lD88PvQ+zD64PqQ+hD5gPkQ+TD5wPrQ/BD9cP7xALECwQURB0EJIQrBDNEQMRVhHCEjESiBKzErQSmxJ3ElASKBIGEfMR8BHvEeQR1BHPEeMSAxIXEhMSBRH7EfARzBF7ERAQtBCFEH0QeRBeECgP6A+uD4cPeQ+ID6sPzQ/cD9cPzw/PD9IPyQ+0D6YPtw/vEEIQqhEqEckSeRMUE3YTmhOdE6ETsRPEE88T0xPbE+YT6hPaE7wTmxOAE18TMBL7EssSphKEEloSJRHsEbMRexFCEQcQzhCSEEsP7w+ADwkOkQ4ZDZ4NIwyzDF4MKgwWDB8MPgxuDKIM0wz5DRYNLQ1BDVUNbQ2IDaUNuQ2+DbMNoA2QDYgNhw2JDYgNgw18DXINYg1JDSkNCAzuDOIM4QzqDPkNBg0EDOUMqAxWDAALsQtvCzoLEwr7CuoK1QqxCoEKSwoWCeIJqgltCSYIzAhaB9MHRAa/BkgF1gVZBM4ERQPbA6sDuAPvBDMEcASkBNYE/wUHBM8ESgOQAs8CMAG/AWsBIQDbAKgAnQDFARABYwGoAdoCAwIpAkYCVwJpApkC+AOABBYErAVFBe0GmQcpB30HkQd+B10HNwcKBtcGswbFBy4H+AkACf0KoQrICo8KOgn8CdMJnwlICNkIcAgfB+AHpgdvBz4HDgbYBpQGRQXvBZMFMwTYBIYENgPZA2gC7wJ/AhkBrgE6ANUAoQCtAOkBOwGeAhcCmgMGAzcDMQMYAxMDJgM8A0IDPAM7Az8DNgMSAtQCiQI/AfQBnQEwAK8ALf/A/3z/XP9I/yT+3f54/gn9pf1W/Rn86fy9/JT8bvxM/Cn7//vP+6b7jPt7+177Kfrq+r36sPqq+oX6LvnB+XH5VPlU+UH4+/iP+CH31fey96v3sPe899L38PgO+B74GPgH9/n39ff29+733ffJ9733s/ej94r3cPdg91v3V/dG9yf2+/a+9mn19/Vr9Mr0FPNJ8nbxtvEe8KnwOu+47y3uvu6M7pjuy+8U73jwA/Cs8U7xxfIL8kXypPND9BL03/V79dL18/YD9iH2VfaQ9sP27vcg91v3j/ec93L3Hva/9m/2NfYK9en10vXF9bf1m/Vp9ST01vSI9EL0BfPS86nzh/Nq80/zNPMX8vjy2vK98qLyhfJj8j/yGvH28dTxtvGc8YPxZfFA8Rfw8PDV8MfwwPC68K3wlvB38FbwO/An8BfwB+/17+Lv0e/C77fvs++578Tvyu/F77nvsO+v77PvuO/C79fv8/AL8BfwG/Am8D3wWPBt8H3wl/DG8QXxQfFr8X3xfvF28XDxcvGB8ZnxrvG18azxnvGY8aHxsvG88bPxmfF58VzxQPEZ8OPws/Co8NPxIfFr8ZPxm/Gb8afxuPG/8bTxpfGq8dTyKPKb8yDzqPQm9Jj1BPVw9d32QfaO9r/24fcF9z33h/fU+Bb4R/hv+KD45Pk6+Z36Bfpu+tb7PPuf/AP8bPzb/Uv9uf4o/pj/Bf9o/8EAGAB1ANkBOQGOAd8CNQKSAusDOAN3A7MD9wRFBJcE6gVABZcF8AZHBp0G8Ac8B38HtwfpCBwIVAiTCNgJIwlvCbcJ+go6CnkKtgroCxALMgtXC4ELqAvGC9sL7gwEDB8MPAxcDIEMpwzGDNwM7g0FDSUNRg1lDYINpg3PDfAN/g3/DhAOTA6yDxkPUw9JDxQO4Q7RDuAO9Q78DvoPAw8jD1IPdw91DzYOrA3UDLULVAm2B+oGIwS7BBQEWwVgBq8H1wikCScJiQndChYKIwoDCcsJkQljCTwJFwjtCL4IjQhcCCwIAAfWB6sHewdDBwMGxAaPBmoGTgYxBgcF0QWUBVQFEQTLBIYERwQRA90DpwNvAz0DFQL2AtYCrwKBAlQCLgIQAfQB1gG4AaABjwF5AVgBLwEIAOwA1gC6AJEAZABAACYADv/w/87/r/+U/3f/T/8c/uX+r/53/j7+B/3X/ar9e/1J/Rn88vzW/MD8rPyb/JD8h/x9/HH8Z/xi/F38VfxO/E38UvxR/Eb8N/ws/CD8BPvT+6H7hPt2+1r7J/sP+2H8L/0d/ZT9PfxT+3H7GvtX+9P8N/xl/Hf8gvyI/IH8cfxl/F/8U/w7/CL8HPwu/Ez8ZPxv/HP8dvx3/Hj8dvxy/Gn8WvxJ/Dz8NPwq/Bz8EfwW/C/8S/xW/En8N/w4/FD8aPxg/Cr71/uO+2v7cPuD+4f7cftP+zb7Lfsq+yP7FvsN+w/7FvsW+wz7APr5+vf69frx+u/68vr3+vf68vrt+u/69Pr6+v37AvsK+xT7GPsV+xH7EPsU+xr7H/sg+x/7G/sV+w/7B/r7+uz63PrR+s36yfq++qz6mvqO+oj6g/p5+m36YPpR+kH6MPoi+hr6E/oM+gP5+/ny+eb52PnL+cL5vfm6+bb5r/ml+Zj5hvl1+Wb5WflI+S/5D/jv+NX4vPig+IH4ZPhN+Dj4IvgJ9+/31fe595v3f/dn91T3QPcs9xn3DPcA9u720fas9ov2b/ZV9jj2GfX79d/1wfWg9YL1afVU9Tz1HfT59NX0svSS9Hb0X/RK9DL0FfP289jzvfOk84vzc/Ng80/zO/Mk8w3y+vLq8tnyxPKs8pHycvJQ8i3yEfH88eXxxPGY8WnxQfEi8Qnw9PDj8NTwxfCy8JvwhfB18GfwVvBD8DXwL/At8CvwI/Aa8BHwC/AF7/7v9u/w7+vv5+/j7+Hv4e/i7+Hv4e/i7+Xv5+/m7+fv7+/+8A/wHPAi8CjwM/BE8FXwYPBm8GzwefCV8MbxCPFO8YjxtfHi8iHycfK78ujy9vL98xDzLfNE80/zXPN+87Dz1PPR86rzgvNy83zzj/Od86nzvfPd9Ab0NPRp9Kj06vUl9VH1dfWh9dv2HfZY9nr2gPZz9mb2aPZ+9qP2z/b89yr3V/d/95f3lfd390z3MPdB94T33PgY+Bf33feJ9zj28/a99pr2kvag9qr2lPZb9hX13PW19Y71V/UU9Nf0rPSR9Hr0ZvRe9G/0nPTc9SH1W/WD9ZT1mPWZ9Z71p/Wn9ZD1U/Tr9GXz4PN+81XzX/OJ877z8/Qo9Fv0i/S59Ob1EvU09UP1QfU09Sn1IfUb9Rf1F/Uc9SH1IfUY9Qz1APT09Ov08fUN9TX1TPU39PH0mfRX9Dz0PvRC9DX0HfQI9AL0CPQQ9Anz7vPD85vzhfOG85LzmvOY85HzjPOJ84PzdvNj80vzKPLz8qzyYvIf8ebxq/Fm8SDw6vDM8MLwvvC58K/wlvBa7+vvUe6y7jzuAu327fbt6O3K7aftiu147W/tcu1/7ZDtne2i7aDtoO2l7bHtw+3c7fvuGu407kfuV+5r7ofuqe7L7urvC+8x72Dvlu/O8AbwOPBm8I3ws/DY8QDxJvFG8V/xdPGO8a/x1fH98ifyVvKJ8rny3vL58xLzMfNV83XzjfOg87rz3PP99BX0I/Q19Fr0k/TP9P/1HvU59V/1lfXW9hj2WPaa9uD3Kfdx97f3+/hB+Ij4z/kW+WP5tfoH+lD6kPrY+zn7tfw4/Kj89/0x/Wv9sP3+/kv+lP7f/zH/i//nAEEAnAD5AVkBtgIOAmACsQMCA1UDqQQBBF0EvAUYBXEFyAYiBn4G2AcrB3kHxwgcCHoI3Ak7CZUJ6wo+CpUK8AtQC7MMEwxtDMENEw1iDa4N9A4zDmwOnA7EDuMO/Q8WDzQPVg93D5QPrw/KD+MP+hAOECIQNxBOEGMQdBCDEJkQuxDlEQcRExEHEPEQ5RDsEQMRHBEtETYROBEzESQRCBDiELsQkhBlEDEP+w/LD6kPlQ+ND4sPkA+XD5wPmA+KD3gPZg9XD00PSQ9KD08PVw9iD3EPhg+eD7cP1A/3ECAQSxBwEIkQmxCxENoRIBF/EeISLBJNEkgSMRIZEgIR6hHSEcIRvBG4EacRiBFqEVoRVhFOETsRJhEbERQQ+RC7EGwQLhAXEBUQAw/KD3gPLA8BDwEPJg9hD58P0Q/vEAMQGhA1EEQQOBAWD/cP8hALED0QjREMEb8SiRMxE5ATqROnE7MT0xP0FAQUBhQHFAgUAhPsE8oTphOFEywS7BKoEm8SSxIyEhgR9BHHEZERUxEPEMkQiBBFD/QPjA8TDpkOKQ2/DVIM3gxuDBML1QuzC6ULpwu1C84L8AwZDEYMdAyiDM0M9g0dDT8NWQ1mDWUNWw1QDUkNRw1HDUQNPQ00DSsNHw0NDPQM2QzDDLYMswy2DLkMtwymDIAMSgwNC9MLngtoCzMLCArvCuIK0QqtCncKPAoKCeUJxwmmCXkJNgjZCGYH6AdsBvgGhwYNBYQE8gRmA/QDrAORA5gDtQPdBAcEIgQYA9MDUgKtAgkBfwEVAMMAhABYAEsAZgCqAQoBbwHEAgUCOwJqApECrALKAwUDbQPuBGIEsATmBSUFegXOBgQGFwYiBj0GZAZ/BoUGjgbNB2sIZQmICoALBQsDCqUKNAnfCaAJVgjtCHYIEgfQB6MHegdNByAG8Qa3Bm4GGQW+BV4E/ASaBEED6wOJAxQClQIfAbMBRwDVAHEAPQBFAHsAyQEsAagCLwKZAr8CpgJ7AmwCgAKcAqoCrAKzAsQC0ALFAqECcQJGAh0B6AGRARUAhgAH/7L/i/95/1n/F/63/kz96P2a/WD9Nv0Q/Ob8tfyC/FD8Ivv1+9D7tfue+337SfsS+vP69vsG+vf6r/pA+dX5jflk+Tn49fiZ+Dz39PfG9633pPeu98v39fgc+DH4NPgt+CX4HfgR+AD38Pfl99r3w/ed93X3WvdT91b3VvdN9zr3FPbP9mn18PV29Pn0ZfOn8sjx8fFA8LTwKO+D7szuMO3X7czt/u5T7sDvRe/e8H/xGfGf8hTyhfMI86z0cfU49db2MPZL9kz2U/Zq9o72u/b29zn3bfdy90H27/ah9mn2QvYc9fj14PXb9dj1wvWM9T305/SY9FX0H/P089HzsvOV83fzVvMx8wry5fLI8rTyovKL8mzyRvIf8f3x3/HD8abxgvFZ8TDxDvD68PDw6vDi8Nbww/Co8IXwYPBC8CzwHfAQ8AHv9O/q7+Xv5e/q7+/v8u/w7+rv4u/Z79Dvy+/U7+zwDvAr8DzwSfBf8IDwoPC08L3wzPDs8R3xU/GB8aHxtfG88bvxu/HE8dfx6vHw8eXx0/HK8dTx6vH38e3xzfGm8YjxbvFH8Q3w0/C88NvxIfFk8YvxmvGr8cjx5PHq8dbxwPHF8fvyZPLy85D0J/Sn9Q31ZfW99hb2Zfag9sb26PcV91b3offo+CP4Uvh++LP49/lI+aP6Bfpr+tD7NPuW+/v8Z/zY/Ur9u/4t/p7/Bv9h/7QACgBtANUBNgGLAdwCNgKVAu0DNANvA60D9wRLBJ8E8gVHBZ8F+QZSBqoG/wdPB5YH1ggSCE0IiQjECQAJQAmCCcUKBgpGCocKwwrxCxMLMgtcC44LvQveC/EMBAweDD4MYAyADJ0MsQy2DLEMsAzEDPANKQ1kDaAN3Q4RDigOHw4TDjMOlg8gD4oPnA9WDvEOqQ6WDqIOrA6rDrEO0Q8ND08Pgw+aD4UPMg6ODZIMOQqECIMGcQTAA+0EMAVQBsAH+gjLCVAJvgokCm4KfgpVCg0JyAmVCXMJUgknCO4IrghxCD4IFAfvB8kHngdpBygG4AahBnUGWgZBBh0F6gWwBXYFOQT3BLEEbgQzA/wDxAOIA1ADJQMHAuwCyAKZAmUCNwIRAfAB0AGyAZoBiwF9AWkBTQEyAR0BCgDvAMkAoACBAGsAUgAtAAD/2P+4/5b/Z/8r/u3+tf6C/kz+E/3d/az9ff1O/SD8+vzf/Mz8vfyt/J38jPx9/HH8avxl/F78UvxK/Ev8UfxS/Ej8O/w0/C78F/vo+7D7hftn+0D7DPr2+z376/yp/Pn8nvvZ+zj7Gftw++j8PPxo/Ir8sfzJ/ML8o/yG/Hj8b/xg/E78R/xQ/GH8bfx2/IH8jvyZ/J78ofyi/J78ivxn/EH8JPwS/AX8APwL/C38VPxk/FH8K/wV/CL8QvxQ/C/76vuk+4H7iPug+6X7jPti+0H7NPs0+zH7Jvsc+x37JPsp+yP7GPsP+wr7Bfr/+vv6/vsE+wf7BPsC+wT7DPsT+xf7Hfso+zX7Pvs++zj7NPs1+zv7P/s9+zb7LPsj+xz7FvsM+v367fri+t362PrN+rz6rPqh+pv6lfqL+n76cPpg+k76Pfov+ij6Ivoc+hX6DvoF+fn56vnb+dH5y/nG+b/5ufmz+av5nPmK+Xr5bvlj+U75MPkP+PD41Pi2+Jb4efhh+Ev4NPga+AH36ffQ97L3kvd292D3Tfc59yP3D/b+9ur20Paz9pb2e/Zg9kP2JfYK9e/10vW09Zb1fPVi9UX1I/UA9N70vvSh9Ij0dPRi9Ez0LvQN8/Dz1/PA86jzkPN682bzUfM58yDzCvL18uDyx/Ks8o/yb/JO8jHyHPIM8fjx2PGt8YLxW/E68R3xA/Dv8N/wzfC28JvwhvB38GvwWvBF8DPwKfAm8CPwHfAV8A3wB/AA7/rv9O/w7+zv5+/k7+Lv4u/h793v2e/Y79rv3O/b79nv2+/l7/Lv/fAD8AfwEfAi8DnwUPBk8HHwd/B98JHwv/EE8UvxgPGd8bTx0PHz8hDyJ/JI8oHyzPMQ8z3zXfOF87fz2/PY863zd/NU803zWPNo837znfPA897z+PQZ9Er0ivTH9PX1E/Ux9V71ofXs9iz2U/Zl9nL2iPaq9s727PcE9x33Pvdf93L3b/dW9zb3Jvc793T3v/f19/n3yfd29xz2z/aa9of2lva39sr2tvZ99jj1//XU9af1bPUn9On0vfSf9IX0bfRb9FX0YPR/9LP09vU59W31ivWW9Zz1oPWg9Y71XfUF9JD0HfPO87rz1/QO9EX0cPST9LL00fTw9RH1MvVQ9WD1YfVU9UL1MfUl9SL1KvU59UP1QPUv9Rj1AfTu9OP06/UL9TX1SfUs9OD0hvRI9DT0PPRE9D30J/QO8/zz8fPr8+bz3fPR88bzxfPP89vz3vPS87rznvOF827zWfNE8yvzBvLU8pfyWvIf8eHxmPFG8Prww/Cn8J7wn/Ch8JrwdfAb74fu1u467drtue247bXto+2G7W3tXO1O7UTtP+1D7UvtVO1c7WTtb+167Yjtm+217dTt8+4M7iLuOu5Z7nzumu6z7svu6u8V70jvfO+v7+DwEPBA8G3wmvDH8PPxG/E48U3xYfF/8ajx1fH+8iDyQvJn8o3yrPLG8t7y/PMd8zjzSvNc83vzrPPj9A70JvQ29Ez0cfSc9MT04vT+9SX1WvWb9d72IPZi9qj28vc794H3xPgI+E74lPjf+TH5jPnp+jn6evq1+v77X/vN/DT8ivzT/R79c/3M/iD+bv68/xD/a//HACEAegDUATABigHgAjMChgLaAy4DhAPcBDcEkwTtBUUFnwX+Bl4GugcMB1gHpgf8CFgItAkPCWoJxwojCn0K1gszC5cL+wxWDKQM6g0vDXcNvQ37Di4OVQ50Do4OqQ7HDukPDg8vD0wPaQ+JD6oPxg/cD+wP/RAOEBwQJhAvEEEQZBCWEMgQ5hDkEMcQoxCREJsQuhDYEOMQ2hDFEK8QnRCMEHIQSxAXD94Ppw95D1QPOw8sDykPMQ87D0APPA8wDyAPDw7/DvMO8A73DwUPFQ8lDzkPVA91D5sPww/uEBwQRxBoEH8QkRClEMQQ9BEwEXERqRHLEdkR3xHjEeUR2RHBEaYRjxF6EVoRKxD7ENgQxhC4EKQQjBB6EGwQUxAoD/cP1g/KD7gPgg8kDr4Oew54DrIPEw+AD+EQKRBbEIQQshDeEPUQ7BDQELsQvhDUEPYRMBGcEkAS9hOGE8oT0RPKE9gT+BQQFBMUBxP9E/cT6xPQE6sThRNdEt0SnxJeEisSDRH6EeURwxGUEVcRDxDAEHQQMA/uD54PNg69DkIN0g1sDQcMogxGC/0LyQulC4gLcgtmC2cLdguRC7YL5AwZDFEMigzBDPANEg0nDTANMA0sDSYNHw0YDRANBQz4DO0M4gzVDMIMqwyXDIgMfwx2DGwMWwxADBkL7QvFC6cLiAteCygK9wrdCtUKywqoCm4KMgoLCf4J/gnzCdIJlglDCOIIeQgPB6YHOwbLBk4FwAUkBIoECAOxA4YDfQOFA5EDkQNzAysCuwI1AbABOADSAIEATQA/AFUAiwDcAT4BpgIEAlACjQLDAvIDGANBA4ED5gRbBLkE6wUBBR8FUgWDBZUFjwWTBb0F/wY6Bl8GjwcAB9AI6AoBCswLFgrlCm8J+gmoCWoJHgi0CEEH6ge5B54HgAdTBx8G5AahBlMF/QWkBUYE4AR1BA4DqgM9Ar8COgG+AVMA7QCFACj/8//yABkAVwCrAR0BogIPAjoCIAHuAdYB5QIFAhsCJAIvAkYCYQJxAm0CXgJOAkACJgHtAYcBAQB2AAr/yP+j/3//SP79/qj+V/4R/dz9s/2K/Vb9FfzO/JD8Xvw1/BD77/vP+6z7f/tP+y/7LPs7+zr7EPq6+lH57vmY+Uj49Pie+E74CvfX97b3rffB9+34H/hA+Ej4Qfg7+Dr4N/gn+A/3/Pfv99r3rfdu9zf3IPcs90f3Xfdl91j3KvbT9lv14vV/9Sf0s/QF8yvyVfGn8Rjwf+++7t/uEu2I7Vftdu3J7jfuse8579jwkfFV8gPyhvLr8170CPTj9bf2R/Z+9nn2Z/Zm9nv2ofbZ9xf3Qfc99wj2wfaO9nP2WvYt9fD1wfWw9bD1ofV09S304/Sl9HT0TPQn9AHz2vOy84zzZvM98xLy6PLI8rXyp/KS8nPyTfIo8gnx7PHQ8bHxkfFw8VPxPPEs8R3xDPD38Obw2fDK8LTwlfB08FnwRvA28CfwGfAQ8AzwDPAN8A7wEPAU8BjwFvAL7/fv5O/h7/LwEvAw8EjwX/CB8K7w2PD08QLxEPEl8UTxZfGH8anxzPHn8fnyBfIS8iPyLvIn8g3x7/Hi8fHyEvIp8iDx+PHG8aDxhvFj8Srw7PDL8N7xF/FV8YLxpfHR8gjyOvJV8lnyW/Jz8q7zCfOA9AT0hfTy9Ur1lvXk9jX2fva49uT3DvdB93z3t/fs+Br4Sfh9+Lz5A/lR+aT6APpj+sr7MPuU+/z8avzd/VH9wv4x/p7/A/9d/7IADABxANoBOAGIAdUCKQKDAtUDGQNYA58D8wRMBKME9wVNBaYGAAZWBqsHAAdSB6AH6ggzCH4IwwkACTYJbAmmCeIKHgpZCpYKzAr2CxQLMwtfC5YLyQvuDAcMIwxGDGwMiwyfDKcMoQyMDHYMeAyjDPANSg2hDfQOPw5wDnAORQ4hDkMOvg9UD6UPeA7sDlsOFA4eDkgOZA5tDoIOtw8DD0sPfw+lD7wPrg9aDqMNeAvQCbYHZQVdBDIENwVABrYIAwjkCXEJ3Qo/CoMKkgptCjAJ9gnMCa8JjwlgCSEI2giZCGQINggHB9QHngdkByQG4QamBn0GZgZQBi0F+wXDBY8FWwUgBNsElgRYBCAD5wOqA24DPQMbAv8C3gKxAn0CSQIcAfgB2AG7AaQBlQGKAX4BbgFcAUsBOQEfAP0A2gC/AKoAjABdACX/8v/L/6X/cv8x/u/+uP6J/lf+HP3f/aj9eP1N/SX9A/zq/Nv80PzB/K78mfyG/Hn8cvxq/F78T/xE/EX8TfxR/Ez8RPxB/D/8LvwD+8r7lftp+zv7EvsT+238Ffy1/OP8efvF+0X7PvuV+/X8LfxN/Hn8tvzl/Oj8yvyq/Jz8l/yP/IP8ffx//IP8hPyH/Jb8rfzA/Mj8zPzQ/M38svx8/D/8Evv++/f79vwA/B78RPxV/D38CPvg++b8FPxC/Eb8GfvU+6H7kfub+6P7lvt2+1j7SvtJ+0n7Qvs5+zT7Nfs3+zP7LPsm+yD7GfsP+wr7DfsV+xz7Hfsd+yP7Lfs1+zn7PPtG+1T7X/ti+1v7U/tQ+1L7U/tP+0X7N/sr+yT7IPsb+xH7BPr5+vL66/rh+tT6x/q8+rL6p/qZ+oz6f/px+mD6T/pD+jz6N/ox+in6Ivoa+g75/vnv+eT53PnT+cr5w/nB+b75tfmj+ZL5hfl5+Wj5Tfku+RD49PjW+Lf4mviC+Gz4U/g3+Bz4BPfr98z3qveJ92/3WfdC9yn3EPb59uX20Pa69qP2ifZs9k72MvYX9f314PXC9ab1i/Vu9Uv1KPUG9Or00PS29J/0jfR79GT0RvQm9Avz9fPf88bzrPOW84Hza/NQ8zTzGPL98uDywvKj8oXyaPJM8jTyI/IU8gDx4fG88ZfxdvFX8TfxGfEB8O7w2fC+8KLwjPB/8HTwZfBS8D/wMvAs8CjwJfAh8BvwEvAI7//v+e/17/Hv7O/n7+Xv5e/j793v1u/R79Hv0u/R787vze/Q79fv3e/i7+jv9fAJ8CHwPPBY8HHwffB68HbwifC/8QvxT/Fy8XXxa/Fk8WjxevGl8e/yTvKo8u7zJPNZ84/zsfOr84LzVfM88znzPvNF81Pzc/Oc88Hz2fPs9An0NfRk9Ir0pPS89OP1H/Vp9bH17fYc9kv2gPa19tz27vbz9v73Fvc090b3Q/cw9xv3Efcg90z3jPfG99v3ufdq9wr2ufaN9or2pvbK9tz2zPae9mP2LfX79cb1jPVT9ST0//Te9L30m/R/9Gj0WfRX9G70oPTl9Sf1WfV49Yn1kfWQ9YH1XPUe9M/0hPRX9FP0cvSa9Lv0zvTb9Or0/fUQ9SX1PvVX9Wr1b/Vn9VT1P/Ux9TL1QfVS9Vf1SPUp9Qn08PTh9Nr04PT19Q/1FPTz9LD0aPQ89DT0QfRN9Ef0M/QX8/3z6vPj8+nz9vQF9A/0FPQV9A/z/fPe87jzkfNv81PzO/Ml8wny5fK28oPyUPIa8dnxhPEm8NDwk/By8GjwbPBz8GzwO+/L7ybudu3v7ajtke2I7XTtVu097S7tJe0c7RLtCe0G7QbtCu0U7SbtO+1Q7WLtdu2R7a/ty+3k7f/uIe5I7m7uiu6f7rfu2e8D7zHvXO+I77jv7/Ao8F/wkfDA8OrxDPEj8TXxTfF18azx5fIR8ivyPPJQ8mnyhPKd8rTyzvLo8vzzCvMd80Hze/PB8//0KPQ/9FD0ZvSC9KD0vPTY9Pz1K/Vl9aX15vYn9mv2svb890T3i/fS+Bj4Xfik+PP5Tfms+gX6T/qO+tH7Ivt/+938NPyI/OD9P/2f/fn+TP6d/vH/Sf+g//YASwCkAP8BWQGyAgkCYQK5AxEDaAO/BBcEbgTDBRgFbwXMBiwGiQbfBzMHiwfoCEMImQjuCUoJrQoQCmsKvwsVC3QL1gwtDHIMrQzsDTMNeg22DeIOAQ4cDjgOVw55Dp4Oww7kDwEPHw9BD2UPhw+jD7gPyg/YD+AP5A/mD+8QBxAtEFoQfhCIEHMQThA1ED0QYhCLEJwQjBBpEE0QQxBCEDcQFg/hD6UPbg9CDyAPBQ71DvEO9Q75DvMO5A7RDsAOsg6mDp0Ong6pDrsOzw7kDv4PIg9ND34PsA/lEBkQRRBnEIIQnRC6ENUQ6xEAER4RSRF6EakRzxHpEfQR6xHPEasRhhFeESgQ4hCfEHIQYhBgEFoQSRAzEBwQAQ/fD78Pqg+VD2YPDQ6dDkQOKw5jDtcPaxAAEH8Q2xEYEUURdBGiEcERyRHJEdcR/BIsElwSkxLnE1wT0xQhFDQUIRQSFBkUJxQkFAsT7xPcE9ETvBOXE2gTOxMQEo8SVhIfEfMR0xG2EZIRYxEtEPAQrBBjEBwP2w+bD08O7g5+DgoNmw0yDM4McwwoC/ALxgujC4ILaAtYC1MLVwtiC3YLlAu/C/gMOwyBDL0M6A0DDRINGQ0ZDRINBQz2DOYM1QzFDLkMsAymDJYMgQxtDFwMTAw7DCgMEgv2C9ALqAuJC3ULYwtACwwK2grBCsAKvgqhCmwKOQolCi8KQAo6ChAJzAl+CTMI7QilCFYH/gecBy0GqQYMBWEEwARAA+YDrAODA2MDRAMZAtYCewISAagBQwDpAKQAggCKALIA7gE3AY4B7gJMApsC2gMSA0gDfAOzA/oEWAS+BQ4FOgVVBXsFrwXSBcoFqAWXBbMF7QYkBlUGpgdGCDkJTQo2CrsKzAqCChMJswl0CUQJAgijCDwH8QfJB7IHkQdcBxoG0waHBjYF4gWMBTAEyARVA+EDbwL3AnEB4wFiAPQAkgAx/9j/n/+T/6j/0QANAGsA5gFYAZQBjQFjAUYBSgFkAX4BkQGnAcoB9wIiAj4CRwJCAjgCKgINAdEBbwD3AIQAKv/q/7f/hP9M/xH+1P6a/mb+Of4H/cX9cv0c/NX8oPx1/Ef8GPvw+9H7svuN+2j7T/tH+0P7MfsD+rr6XPny+YH5E/iw+F/4Hffq98r3yvfu+Cn4XPhu+F/4Rfg8+Eb4T/hG+C34EPf198v3hfcy9vX26vcO90T3cPeD93b3PfbS9k310/V69S/0wfQT8znyZPG48SvwlO/S7u7uEO1n7Q/tC+1H7aPuDe6F7x/v6fDS8avySfKv8w/zpfR99WX2F/Zx9on2ifaR9qP2v/bn9xn3PPc19wD2vvaS9oD2aPYq9dH1hPVg9V31W/VA9Q/02vSv9Iz0a/RG9Bzz7PO985Lzb/NP8y7zC/Ls8tPyvPKe8njyU/I18hvyAvHm8cnxr/GZ8YXxcvFc8ULxIvEE8PDw6/Dv8O7w3vDD8Kbwi/Bz8FzwRfA08CzwLPAu8C/wMfA18DvwPfAz8B3wBO/37/7wFvAz8E7wavCQ8L/w7vEW8TbxU/Fv8YfxmfGr8cXx6vIR8jLyS/Jg8m/ybfJT8iXx+PHr8gjyP/Jo8mTyMPHq8bHxjvFr8Tfw+fDP8NHw+/Ez8Wnxn/Hi8jDyevKz8uDzDPNA83jztfP79E70qvUD9VP1nfXq9jn2hPbF9v73NPdo95f3v/fi+An4Ofh2+L75CvlY+aj5//pg+sn7M/ub/AP8cfzl/Vn9yP4x/pn+/v9f/7sAGQB9AOABOgGIAdQCJAJ2AsEDBANHA5cD8gROBKcE/wVaBbUGDAZaBqUG8gdCB5QH5whBCJwI8Ak1CW0JoAnVCgkKOAplCpMKwgrtCxELOgttC6cL3AwEDCcMTQx4DJ0Mswy2DKYMhQxdDEYMXQyqDRYNfw3VDiAOZQ6PDoAOPA4BDhUOiQ8WD08PAA5YDcMNjw25Df0OKA47Dl8Opg7/D0gPeg+rD+cQFRAFD4wOkw0QCwQIngZWBNAEfQVMBrMIEAkHCZ0J/gpHCnYKgApqCkcKJgoJCewJxAmPCU0JBwjICJAIVwgTB8cHfAc5Bv0GxgaZBnwGbQZaBjUGAQXLBZ0FcgU/BQIEwASCBEgEDAPNA48DWwMzAxUC9QLOAp0CaAI2Ag4B7wHWAcEBsAGkAZsBkQGEAXUBZAFNAS8BDwDyANYArwB4ADf//P/Q/6j/df81/vL+uv6M/lr+Hv3d/aL9dP1Q/S/9Evz8/Oz83/zQ/Lz8p/yW/Ir8gvx3/Gb8VfxK/Er8UvxX/Ff8U/xQ/Ev8OPwS++L7tPuK+1/7QPtR+7f8Xvz1/Rv8t/wQ+5b7h/vE/Ab8Jfw1/Fv8m/zU/Oj83fzM/Mb8xPy7/K78p/ym/KT8nfyb/Kz8yPzf/Of85/zn/OH8wfyD/D/8EvwG/Af8BfwB/Av8I/wv/Bn75fu5+7v77/wz/Ff8RPwG+7/7kPuC+4j7jfuG+3b7aPtj+2P7YPtZ+1L7TPtH+0L7Pfs7+zj7M/sr+yf7Kfsw+zb7OPs6+0P7TvtX+1r7Wfte+2n7c/t2+3H7aPtj+2L7Y/tg+1j7S/s++zT7MPst+yr7I/sb+xL7CPr++vL65/rc+s/6v/qv+qH6lvqJ+nn6avpf+lj6UPpG+jv6Mvoq+h/6EPn/+fP56/ni+dj50fnQ+dL5zvnB+a/5oPmS+YD5Z/lK+S/5Fvj7+N74wvir+Jb4fvhh+EP4J/gK9+r3xfeh94L3ZvdL9y/3Ffb99ur21/bE9qz2kfZy9lT2OfYh9gb16PXJ9a31kvVz9VH1LvUQ9Pn05PTO9Lr0qPSU9Hr0XPQ+9Cf0FPP+8+PzyPOw85vzg/No80rzLfMP8u/yzfKs8o/ydPJa8kTyMvIh8grx6/HL8a7xlfF58VjxNvEZ8QHw6PDL8K/wmfCM8IHwdPBk8FPwRvA68DPwMPAv8CvwIfAU8AjwAe/97/jv8e/r7+jv6O/n7+Hv2e/S787vzO/J78bvxO/F78fvyO/M79bv5+/88A/wIvA68Fnwc/B58G3waPCG8MrxGvFS8WPxV/FC8TTxN/FR8Yjx1PIm8nTywPMP81Xzd/No8zvzFfMP8x/zKvMo8ynzQfNx86TzxvPY8+bz+vQU9C70RfRf9IP0t/T29Tf1dPWv9fP2QfaJ9rn2yfbJ9tH26PcF9xT3EvcE9vb27fbz9xP3Uvef98/3wfd09wz2ufaU9p32vvbd9ur23fa79oz2VfYa9d/1rPWF9Wr1TPUj9O70u/SU9Hn0ZvRc9GL0f/Sw9Or1H/VJ9Wj1fPWD9Xz1ZvVE9Rv09vTh9OD07fT49Pr09/T49QL1EfUg9S/1P/VT9Wf1cfVt9Vz1RvU59Tz1TvVe9Vr1PfUR9Or00/TL9Mr0y/TQ9NP0yvSq9Hn0TPQ29Dr0S/RW9FD0OvQe9ATz9PP29An0KPRE9FX0VPRC9CHz9/PI85vzc/NT8znzJfMR8vbyzvKc8mjyN/IE8cPxbfEL8LLwc/BQ8EbwS/BQ8D7v+O917s7uMe3H7ZTtfO1i7TztGO0B7PXs7Ozf7NPszOzJ7MfsyezT7OrtCO0j7TrtUe1s7Yftoe277druAu4t7lLucO6N7q3u0+737xjvOu9n76Hv4vAi8FzwjvC68OHw//EV8SfxQfFt8anx5vIR8ibyLPI18kjyZPKB8pnyrfK+8s3y2/Lv8xTzT/OY89/0F/Q89FL0YvR09Ir0o/TA9OH1CPU59XH1rfXs9i32c/a89wf3U/ee9+b4K/hv+Lf5Cfli+b36Efpe+qv7APta+7T8Cfxc/LL9Df1p/cH+F/5r/sL/Gf9v/8UAHAB2ANIBLQGHAeICPgKbAvcDUAOnA/4EUwSlBPYFSQWhBfwGWAaxBw0HbQfQCC0IhAjaCToJpAoLCmQKsAr+C1ULsQv/DDoMbAymDOsNMA1mDYoNpQ3CDeMOBg4qDk8Ocw6UDrIOzg7uDxIPNg9WD3APhA+TD50Pow+mD6oPsQ/AD9kP+BAREBgQEBAKEBgQPBBgEGgQTBAeD/0P9xAAEAEP6g+7D4QPUw8sDw0O9A7iDtgO0Q7DDqsOjQ5yDmEOVg5QDkwOUQ5eDnIOiQ6kDsYO8A8iD1gPlA/XEBkQURB8EKEQyRDvEQcRCRECEQ4ROxGBEcUR9BIIEgUR8hHVEbIRiRFUEQcQqRBSECAQGBApEDcQNBAiEAkP7A/ND7IPlw9vDycOwg5lDkAObA7hD34QIxC/EUMRohHcEgISKRJZEogSrRLPEv8TRhOWE+AUHxRbFJIUtBSuFIgUYBRNFE0URRQmE/kT1RPDE7UTlhNiEyUS7xLBEkgSCRHOEZwRcBFAEQgQzxCcEG4QQRAMD9IPkg9NDvwOnw45DdANaA0CDKEMTQwMC9sLtAuRC3MLYQtbC10LZAtsC3gLiguoC9gMGQxiDKQM0wzvDP4NBw0JDQMM9QzkDNAMvAypDJsMkgyIDHgMYgxKDDQMHgwIC/IL3gvHC6ULfAtXCz8LLQsRCuYKuwqnCqoKrgqbCnQKVApUCmwKfQpoCisJ3gmeCXoJaQlVCS0I7AiVCC0HrAcPBl4FqgUJBIMEEwO5A3QDQQMTAtsCkQI9AeoBngFbASoBFgEiAUUBcwGrAfECSAKjAvEDMANpA6QD4gQjBHAEygUjBWMFhgWgBckF/AYYBgYF3QXGBdoGBgYzBmsG2AeVCIkJcgoWCl0KVgodCc8JhQlNCRwI4AiPCDoH+AfRB7MHiQdLBwMGuAZrBhgFwQVpBQoEnwQoA64DNwK6AjABnwEXAKQAP//d/4T/Rv8t/y//Pv9b/5j/+gBnALQAygC2AJ0AlgClAL8A3gEHAT4BgwHLAgUCIQIfAg0B+wHtAdUBoAFOAO0AkQBDAAD/w/+L/1b/IP7r/rr+i/5V/gv9sP1U/Qz82Pym/Gv8LPv7++H70fu5+5P7aftI+zb7LPsf+v/6wfpf+eD5V/jb+Hr4Mvf/9+H34vgG+D/4afhs+E34K/gm+D/4Wvhb+ED4F/fn96f3Uvb89sr20fcG90b3cfd992T3Hvas9ib1sfVd9RD0nPPl8wHyHPFa8LjwHO9u7q7t8+1Z7Pns2+z07S7tee3X7lvvFe/28NfxjfIP8oTzHPPm9MD1dvXs9jX2b/ao9tf29vcP9y/3S/dF9xH2x/aO9nD2UvYU9bj1YvU09S31L/Ug9P701PSt9In0Z/RF9CDz9fPH85zzffNp81jzRPMr8w7y7PLE8pvyePJe8knyL/IQ8fLx2vHH8bHxlvF28VTxMfEU8QPxBvEV8SPxIvES8Pnw3vDC8KPwgvBl8FPwTvBR8FXwVfBT8FLwUfBM8D7wKvAb8BrwKPA+8FXwb/CS8L7w7/Eg8VHxgfGu8c/x4vHv8gDyG/I88l7yfPKX8qfyn/J68kHyEfIK8jnyhfLB8sHygPIf8cnxkfFo8Tfw+/DM8MPw4vEX8VLxkfHa8iryefLE8w3zWvOj8970CfQ09Gv0svUA9Uz1lvXg9ir2cva39vr3OPdu95j3uffc+Af4PPh8+MX5Ffll+bX6CPpk+sz7N/ug/An8d/zs/WD9zf4y/pf+/v9l/8cAJQCCAN4BNgGIAdcCJwJ2Ar4DAQNJA5wD9wRSBKwFBwVnBcQGFgZcBp0G4gcuB38H2gg/CKkJBwlTCY4Jwwn3CiMKRQphCoMKrwriCxcLTguKC8YL+QwkDEwMdgyfDL0MyQzCDKUMdAxBDC4MXAzFDT4NmQ3NDfYOKQ5TDksOCg3BDboOCg54DqgOaw3qDYANbQ2iDeQOCA4dDkoOnw8CD1EPiA/IEB4QbhB9ECAPRg3sDAsJugdbBZAE5wVzBr8IJQkxCdAKKApaCnUKegpzCmcKWApBChwJ6wmyCXMJNAj3CLoIdggkB8wHegc0BvkGxgacBoIGcgZeBjkGBAXQBaUFgQVYBSUE6wSvBHEEMQPvA7IDfwNXAzYDGQL2AsoClAJdAjACEAH5AeQB0QHEAb0BtgGtAaABkQF/AWUBQwEcAPEAvgCAAD0AAf/T/6r/ev89/vv+wP6M/lf+G/3b/aP9ef1Z/T39I/0L/Pf85fzS/L/8rfyh/Jf8jvyA/HD8Yvxa/Fv8Yfxm/Gf8Zfxg/FL8OPwV+/H70/u4+5j7ffuK++D8dv0J/UX9Bfx4+/v7zvvm/BH8J/wy/Ez8fvyx/ND82PzZ/Nn80/zD/LH8qvyq/Kf8nfyZ/Kj8xvze/OP83fzX/M78svx8/ET8JPwk/Cv8IvwL+/z8APwI+/z72Pu0+7D71vwR/EH8Svwn++r7rfuH+4D7jPuY+5f7jPuA+3r7eft3+3P7bPtl+177WftY+1j7V/tV+1H7T/tQ+1D7UftV+1/7a/ty+3P7cPtw+3f7f/uC+4D7evt2+3X7d/t5+3f7cPtl+1j7T/tM+0v7SvtE+zr7Lvsg+xL7Bfr6+u363/rQ+sT6uPqr+pz6jfqC+nn6bvpe+k36QPo3+i36HPoL+f359vnx+en54/ni+eX55fnd+dH5w/m1+aL5iPls+VL5Ovki+Qf47PjU+MD4qviP+HD4UPgu+An35Pe/9533ffde90D3JfcN9vn25PbN9rH2kfZx9lX2PvYq9hH18/XS9bT1l/V69Vn1OvUg9Qv09/Tk9NH0v/Sq9JD0cvRY9ET0M/Qc9ADz5PPM87bznfOA82LzR/Mr8w3y6/LM8rDylvJ78mHySvI08hrx/PHf8cjxs/Ga8XnxVPEz8RXw+vDf8MfwtfCl8JXwhPB28GrwXvBO8EDwN/A08DHwKPAb8A/wCPAC7/vv8u/r7+nv6e/n7+Pv3e/X79Lvy+/F78HvwO/B78PvxO/H79Lv5e/68AjwD/Ab8DbwV/Bq8GXwV/Bg8JPw4vEs8VbxX/FU8UbxPfFD8VzxifHE8g7ybPLZ8znzY/NH8wTy0fLN8urzAvMF8wLzFfNG84Dzq/O/88fz0PPg8/X0DPQn9Er0d/Sr9OD1FPVK9Y313vYs9mP2fPaH9pz2vfbc9ur25fbc9tP2yvbG9t33I/eH99f33feR9x72wvaf9q720vbx9wH2/Pbi9rX2efY39fz10PW29aH1gPVI9P30tPSA9GX0XfRe9GT0dfSS9Lf04vUO9Tj1W/V09YD1f/V09WL1TPU69S/1J/Ud9Q/1A/UC9Q31HfUr9TP1PfVL9V31bPVu9WL1TvU/9T71SvVV9Uz1KvT69M/0t/Sv9Kz0p/Sf9JX0hvRu9FH0O/Q29D/0TfRS9En0NfQf9A/0DvQg9D/0Y/R/9Ij0e/RZ9Cfz7fO184bzX/NB8ynzGPMJ8u/ywvKG8kfyE/Hm8a7xX/EB8Kvwb/BT8E/wU/BK8Bzvt+8h7n7t+e2p7YLtZO087Q7s6+zX7MjstOyd7I/sjOyP7JDsk+yg7Lrs2+z67RXtMO1L7WTte+2W7bnt4+4L7i7uT+537qTuze7q7wPvJu9b75zv3fAV8EbwdfCj8M/w8/EP8SbxP/Fk8ZTxx/Hu8gLyCfIS8ijySvJr8oTylPKe8qryufLR8vXzKPNn86zz6/Qc9Dr0SvRW9GX0fvSd9MH05/US9UT1e/W19fT2N/aA9sz3Gvdo97P3+/hB+Ij41fko+X750vol+nr60/sv+4j73Pws/Hz8zv0j/Xn90/4u/or+5P89/5f/8wBPAKoBBAFdAbkCGAJ4AtgDNQOPA+cEPQSQBOEFMwWIBeAGOAaRBusHSgerCAkIZgjGCTAJnwoHCl0KpQruC0ALkgvVDAYMMAxkDKQM4A0MDSkNQw1kDYsNsg3VDfkOHw5DDmMOfw6eDsAO4g8ADxkPLg9BD1IPYQ9rD3APbw9tD3QPjQ+zD9oP9hAJEBsQLxA4ECcP+g/FD6EPmw+oD7IPqQ+ND2gPRA8lDwsO8w7dDsYOqw6JDmEOPA4fDg8OCA4FDgUODA4ZDiwORA5jDowOvQ70DzIPew/QECkQdBCtEN0RDBE2EUwRSBFAEVMRjhHaEhMSIxIOEeoRxhGlEYURXBEhEMwQahAWD+4P9hAYEDYQPxA1ECAQBA/kD8IPmQ9dDwgOsA6CDqcPHw/FEGsQ/BF5EeUSORJvEpUSwBL6EzsTdBOnE+IUMRSLFOAVHxVBFT8VFxTSFIsUYBRVFFMUOxQKE9YTthOrE50TeBM9EvoSvRKEEfoRpBFXERgQ3hCjEGcQMxAQD/gP4Q/AD48PUA8CDqcORg3jDYINJAzHDHAMJwvwC8QLngt7C2ELVQtXC2ELbgt/C5MLqgvFC+oMHwxgDJ4MzAznDPUM+wz7DPYM7gzlDNkMyAyzDKEMkgyFDHEMVgw4DBoL+wvcC8ILsAugC4ULWwsuCw0K+grnCskKqgqaCp0KowqYCoEKdgqJCqoKtwqYClQKEQnxCgAKKQpJCkQKEgm7CUgIvAgWB1kGkQXPBR0EgQQEA6sDcQNGAxUC2AKXAl8CMwIOAfAB3wHgAfACCgIxAmwCugMNA1gDmAPUBBEETwSSBOAFOQWLBb8F0QXYBfAGFAYmBhgF+gXwBgUGKgZSBpMHEwfVCKgJTgmqCc8J2gnSCa0JbAkfCNoInAhdCBwH5Ae7B5UHZAclBuAGmgZPBfkFmwU5BNQEZgPvA3YC/wKFAf4BbwDnAHAABv+h/0P++/7S/rz+q/6i/rP+7v9G/5j/xv/N/8D/tv+7/9P//QA5AIUA4gFFAZ8B2gHrAd0BxAGvAZoBeAFCAQAAvAB5ADb/8f+t/2v/K/7u/rv+kf5h/h/9y/13/Tb9BPzO/Ij8PvwF++j72fvF+6L7ePtR+zb7KPsl+yD7BPq7+j/5pfkQ+Jz4Tfga9/v38fgB+CD4N/gv+BD39vf9+B/4Pvg8+Bf34Pek9173DvbK9rD2zPcH9zv3Tvc+9w/2wPZV9eD1fPUw9OT0b/O48svxzfDd8A3vXO7C7jrtw+1j7STtCe0M7SLtRe197dbuWe8A77TwX/D38YryLfLp86n0UfTW9U31zfZT9sL3Avcc9yz3Ovc09wL2sPZl9jn2IfX/9cT1g/VW9UP1NfUc9PP0xPSW9Gz0SvQx9B30AvPc87LzkfOA83jzbvNc80DzHfL18s7yrfKT8njyWPI08hTx/PHl8cjxo/F98V3xRPEw8SXxJ/Ez8UHxRvE+8S7xHPEJ8PDw0PCu8JHwgPB78HrwdvBs8GHwW/BY8FTwSvA98DfwO/BH8FnwcfCV8MXw/PEz8Wrxn/HQ8fryGfIv8kHyU/Jn8nzylvKy8sbyxPKl8nTyT/JT8ovy4fMk8yby2/Jj8e/xnPFk8S/w9vDK8MPw5PEe8V3xm/HZ8hnyWvKd8ubzNvOD88Tz+PQr9Gj0sPT79UT1iPXK9gr2SfaM9tL3FvdP9373q/fg+B34W/iZ+N35Kvl7+cv6Gfpu+tD7Ovul/BD8fvz0/Wn91/47/p7/Bf9r/8sAJAB7ANQBLQGCAdQCJwJ4AsQDDQNXA6gD/wRXBLAFDQVtBckGGQZdBpwG3gcoB3kH1Ag7CKQJAglMCYcJvgn0CiEKQQpZCnoKqwrqCy8LcQuvC+cMFwxBDGgMjQysDMAMygzGDKkMcgw2DCMMXAzSDUoNjw2dDaINwg3vDfoNzQ2FDV8New29DekN3A2pDYYNlA3GDfUODA4dDk8OqQ8SD2kPrg/9EGIQuRDGEGQPlg5iDLgKkwg4BkMFVQWkBtMIOAlSCfwKUwp/CpQKmQqXCpMKhwpqCjwKBgnQCZsJYwkkCN4IkwhGB/4HvweGB0oHCAbJBpsGfwZmBkEGDgXbBbIFkgVvBUQFEgTZBJsEWQQYA98DsAOJA2YDRwMnAv4CyQKPAl4COwIiAgoB8wHkAd4B3AHXAc0BwQG0AZ4BeAFEAQgAyQCHAEYADP/c/7P/hP9J/wj+yf6P/lf+HP3j/bH9iv1r/U39MP0V/P786PzT/L/8sPym/Jv8j/yB/HX8b/xt/G/8cfxz/HX8dfxu/Fz8QPwf/AP78Pvh+837tfux++P8U/zf/T79Pfzg/Gb8FPwA/BT8K/w8/FH8cvyX/LP8wPzE/MH8tPyf/Iv8hfyI/If8fvx5/IX8n/y0/Lf8rvyn/KP8k/xx/Ev8Ofw+/ET8NvwV+/j78fv5+/v77fvW+8X7yPve/AH8JPw1/CX7+fvH+6j7pvuz+7v7tPuk+5j7k/uT+5P7kvuN+4j7g/uA+4D7gfuA+3z7dvtv+2r7avtv+3n7g/uH+4X7gvuD+4f7jfuR+5L7kvuR+5H7kvuW+5v7nfuY+437gvt7+3j7dftw+2b7V/tG+zP7IvsU+wj6/frz+un63frQ+sD6sfqm+pz6jvp7+mb6VfpJ+jz6K/oY+gn6A/oB+f/5/Pn7+fz5/Pn3+fD55/nd+c35tfmY+X35ZflO+TX5GvkA+On41Pi8+J74evhS+Cr4Bffi98D3nfd691n3PPci9wr28fbV9rb2lfZ19lv2R/Y39iH2BPXi9cD1ovWE9Wb1S/Uz9R71CfT19OT01PTA9Kf0i/Rz9GL0UfQ69B30AvPq89Pzt/OX83rzYPNH8yrzDPLw8tfyvPKe8n/yY/JJ8i3yD/Hz8d3xyPGv8Y/xa/FJ8SrxEPD78O3w4PDM8LPwmvCK8IPwe/Br8FbwRfA78DTwKvAd8BLwCfAB7/jv8O/r7+nv5+/j7+Dv3e/a79Tvy+/C77zvu++/78Tvx+/L79Tv5u/68AjwC/AO8BzwNvBN8FHwSfBL8HDws/D88TPxUPFX8VPxTPFK8Vbxb/GX8dbyN/K48zHzbfNP8vbypfKL8qTyx/LZ8uHy9/Mk81jzf/OT85zzqfO/89nz9PQN9Cv0UfSB9LP04fUN9T/1fvW+9fH2EvYx9l72lPa+9sv2xfa/9rz2tPap9rj2/vdx99f37/eo9zH2zfak9rH22fcD9yD3J/cT9uL2oPZd9iP1+PXW9bP1g/U99Of0k/RV9Dj0NfQ/9Er0VvRm9H30nvTH9Pf1KfVY9X/1mPWe9ZD1dvVZ9UD1MPUj9Rj1EvUV9SH1L/U59Tz1P/VH9Vf1Z/Vx9Wz1WvVG9Tr1OvU89TT1GfTw9Mb0p/ST9IX0ePRr9F/0U/RI9D30N/Q59D/0Q/Q/9DX0KPQj9Cr0QPRi9Ib0ovSv9Kj0j/Rk9C3z8fO684vzYvM/8yPzEfMC8ubysvJr8ibx9/HX8azxZPEE8KrwcfBg8GfwavBP8AHvgO7e7kPt0+2U7W/tRu0T7OPsxOyy7Jzsfuxh7FTsV+xf7GPsaex47JTstOzT7O/tDe0r7UXtXO157Z/tye3u7gzuMO5f7pPuve7b7vnvJe9e75jvx+/w8B/wWfCV8Mfw7fEK8STxPfFW8XPxlvG58dTx5vH38hHyNfJX8m7yefKA8ovynfK38tby/fMu82jzpvPc9AP0FvQg9C30RfRo9JL0vvTs9Rz1UPWH9cL2AvZH9pH23vcs93v3yPgU+GD4r/kA+VD5nPno+jf6jPrl+z37k/vm/Dj8ivze/Tf9lv33/lf+tP8P/2v/yAAjAH0A1QEvAY0B7gJRArIDEgNvA8kEIAR1BMoFHwV1Bc0GJQZ6Bs8HJQd/B98IQwiuCR4Jjwn0CkgKkQrZCyYLbgumC84L9AwkDFwMjwyyDMsM5w0MDTQNWQ17DaANyQ3xDhUONA5VDngOmQ6zDscO2w7xDwgPHQ8sDzUPOA83DzwPUg95D6gP0Q/sD/cP9A/gD7oPhw9VDzUPLA8zDz8PRg9CDzUPIw8NDvgO4Q7FDqEOdA5EDhgN9Q3dDdANyg3IDcsN1Q3iDfMOCQ4oDlUOjg7PDxoPdA/aEEIQmRDcERIRRhFzEY8RnBGwEeMSLRJpEnESPRHqEZ0RZhFAERsQ7xC2EHEQKw/7D/MQEhBAEGIQbhBoEFgQPxAdD/APtg9rDxUO1g7eD0YP+BC2EU0RsxIBEk0SlhLUEwcTPRN9E70T8hQdFFAUlhToFTMVYhVpFUMU9xSfFFwUQRRDFD8UGxPeE6cTjBODE3UTTxMWEtcSlhJNEZYRKRDLEIEQRRAPD+EPwQ+uD6EPkA9zD0YPCA64DlkN8Q2LDSwM1QyEDD0MAwvXC7ILjwtvC1gLTQtNC1MLYgt9C6ALxQvnDAkMNQxtDKYM0wzsDPUM8wzsDOUM5AzqDO4M6AzXDMEMrwydDIYMZgxADBgL7gvFC6ILjAt+C2cLPwsQCusK2ArOCr0KqAqcCpwKnQqVCokKjgqwCt4K9grmCr0KnQqnCt4LKQthC2kLNwrSCkwJrgj5CDAHVgZ4BaUE7QReA/sDugOGA1ADGALsAtQCzALGAroCqQKcApkCpALBAvMDNAN5A7sD/AQ/BIEEvQT6BUQFnQXuBhkGGgYMBg0GHgYqBiIGEwYTBiQGPAZeBqoHOAfxCJUI9QkZCTUJZQmTCY4JSQjjCIkITAgdB+8HwAeWB20HOwb+BrwGegYwBdcFcQUGBJoEKgO2Az8CygJTAdMBTADJAFL/5v99/xj+wf5+/kn+Fv3n/dH95f4h/mf+nf60/rL+p/6j/rX+4v8p/4b/9gB0APQBXQGbAagBkgFqAToBBgDVAKsAigBoAD4AB//E/3b/If7Q/pT+b/5Q/iP94f2Z/Vz9KPzs/KP8V/wc+/X72Pu4+5T7dPtb+0T7Mfso+yj7Hfrq+nr53/lA+ML4cvhB+B/4Bff59/n3+Pfq99L3xPfQ9+n38vfY96H3Zfcv9v32yfaj9qL2yfb/9x/3F/br9qn2WPX89aD1UfUN9MD0SvOX8qvxm/CG74/uze5G7e7ts+2O7X7tfO197XvtfO2O7bjt+O5K7q3vIe+l8Dbw1PGC8jby2/Nt9AP0uvWQ9lX21/cI9w33CvcB9t32lvZJ9hr2DvYN9fv11/Wu9Yj1XvUp9Ov0rfR39Ev0LvQg9Bn0DPPv88fzpPOR84jzf/Nt81TzN/MY8vjy1/K28pPybvJL8i7yFfH48dTxq/GI8XDxYvFY8VDxTPFO8VDxT/FH8T7xN/Ey8SnxGfD+8N3wvvCp8J3wk/CF8HTwZ/Bg8FvwVPBK8EHwQPBJ8Fzwe/Cp8ObxJvFh8ZHxuvHg8gfyLvJR8m7yg/KQ8pzyr/LH8tvy3/LP8rPyovKv8uXzM/Ny83XzK/Kp8h7xr/Fh8SHw6PDD8MXw9PE68YHxvfHy8iTyVfKG8rry9fM183jzvfQG9FP0n/Tn9Sr1a/Wp9eH2GfZW9pr23/cc91X3l/fm+Dv4hPjC+P75RvmY+ef6Mfp/+tz7Rfuy/B78jf0C/Xj95v5L/qz/Df9s/8YAGgBwAMoBIwF4AcsCIQJ7AtEDIANrA7gECgRgBLkFFQVyBcsGGgZgBqMG6AcxB38H1QgyCJAI4gkkCV0JlgnTCgkKNApYCoMKvwsIC1MLlwvQC/8MKAxPDHMMkQykDLIMvwzDDKkMaAwcC/0MMwysDScNaA1wDWoNfg2jDbENkA1PDRoNDQ0kDUcNYw14DZQNvg3vDhUOKg5ADnQOyw8yD48P4BA4EJwQ5BDcEGwPpQ6VDSILLAjfBtAFsQXUBusITAlrChoKeQqvCssK0QrLCr8KqwqHClQKHQntCcIJjwlMCPsIqghqCD8IIgf9B74HYwcEBrwGkgZ3BlUGJQXyBcgFpAWBBVkFLAT7BMQEiAROBBoD7QPDA5wDeQNYAzMDAQLKApoCdgJZAjsCHQIHAgECAQH/AfgB7wHmAdMBrAFvAScA3gCZAFoAIf/w/8L/kv9Z/xr+2v6d/mP+LP35/c39qP2G/WP9Qv0l/Qz89vzh/M/8wPyy/KL8kPyC/Hv8e/x//ID8fvx8/H38ffx3/Gv8WPxB/Cr8GPwL+//77vve++j8K/yk/Sb9bv1X/Pf8jfxL/Dn8P/xK/Ff8bfyJ/J38o/ye/JH8gPxs/F38Wvxf/GD8WvxT/Fr8bPx8/H78ePx2/Hv8evxp/FL8RPxF/Eb8OPwd/AX7/vwF/A/8EfwH+/D70Pu4+8D77/wu/Fb8TPwa++T7yfvL+9T71PvJ+737tfuy+7H7sPuv+677qvum+6T7pPuk+6D7mPuP+4r7ivuP+5b7mvua+5n7mfub+5/7ovuk+6f7rfuy+7P7svu0+7v7xfvK+8f7v/u2+6/7qPuf+5T7hftz+137R/s0+yb7G/sS+wn6/vrw+uH60frF+rr6rPqa+oT6cPpg+lL6QPot+h76F/oX+hj6GPoY+hj6FvoS+g36B/oC+ff54vnH+av5k/l++Wf5TPkw+RX4/vjn+Mn4ovh2+Ev4JfgE9+P3v/eZ93T3Uvc09xf2/Pbg9sP2pPaF9mv2VvZE9i72EfXv9c31rfWQ9XX1XPVH9TP1H/UL9Pz07fTb9ML0pvSP9H30avRR9DX0GvQD8+nzyvOp84vzc/Na8z7zIvMK8vTy2vK58pbyd/Jb8j7yIPID8erx0vG28ZfxdvFY8TzxJfEX8RLxC/D38NTwsfCe8JrwmfCM8HbwXvBN8D7wL/Ag8BPwCe//7/fv8u/x7+/v6e/h79vv2e/X79HvyO+/77rvue+878Pvyu/Q79bv4O/w8ADwCfAK8A3wGfAp8DLwNPA78FjwjPDI8P7xJfE98UbxRvFH8VHxZPGA8a3x//J/8wrzYvNc8wXyoPJn8mnyivKq8sTy4vMK8zPzUfNi83Pzi/Os88/z7PQB9Bb0NvRm9J700fT49Rr1QfVp9Yv1q/XY9hz2aPae9q/2qPak9qj2pvaY9p322PdI97b33fen9zz22vaq9qz20PcC9zD3R/c39wL2vPZ69kP2DvXW9Zf1VfUO9MP0efQ+9B70FvQa9CD0JfQu9EH0XvSF9LX07/Ux9XD1nvWw9aP1f/VX9Tn1KvUm9Sj1LPUz9T31SPVP9VH1UPVT9Vv1Z/Vx9XD1YfVL9TT1JvUg9Rr1C/Tx9M30qPSG9Gr0VfRG9D30OPQ59D30Q/RH9ET0O/Qw9Cn0LvRC9GT0jvS29NL02/TP9LX0kPRj9DHz/PPL85zzcPNG8yTzDPL48tXymfJN8g3x7PHe8b7xcvEF8J/wZPBc8GvwbPBC7+PvWO697jXt1u2b7W3tNuz47MTsouyJ7GzsSuwx7CzsNew+7EHsR+xZ7HTsj+yn7MHs4+0G7SPtPO1b7YTtsO3T7fHuFe5F7nnupO7I7vPvKe9e74Tvou/S8CbwjPDe8QTxCPEI8RXxLfFD8VXxbPGN8bDxz/Hp8gXyJfJD8lXyXfJi8mzyffKU8q7yyvLt8xzzU/OK87Xz0PPf8+30BvQt9F30kPTD9PX1KfVf9Zf10/YU9ln2o/bx90H3kPff+DD4g/jV+SD5ZPmo+fH6QvqX+u/7R/uh+/r8Uvyq/QX9Zv3J/ij+g/7c/zf/kv/tAEYAoQEBAWQBxgInAogC6ANHA6ID+QRPBKUE/gVXBbEGCgZgBrIHBQdeB8EILAicCQoJcwnRCiIKawqxCvULMQthC4YLrQvcDA8MPAxdDHoMmgzBDOYNBg0mDUoNdQ2eDcMN5g4MDjUOVw5uDn0Ojw6nDsEO1g7lDvIO/w8MDxoPKw9CD18PeQ+HD4QPcg9WDzgPGw8BDuoO1g7KDskO1A7iDugO4g7TDsAOqQ6KDl4OKg33Dc8NtA2jDZgNkg2UDZ0NrA28DcwN3w39DisOag64DxIPdw/iEEYQmBDZERIRSRF8EacR0xIVEnESxhLjEqkSKxGgETkQ+xDTEKkQeRBKECIQCRAJECUQVRCCEJwQohCeEJcQhxBnEDQP7g+cD1APMA9lD/gQwRF6EfQSMxJdEpUS3BMjE2ATlRPEE+oUBxQpFGAUrRT/FT0VVRVEFQ8UwxR5FEsUQBRDFDIT/RO3E34TYRNTEzwTExLeEqMSXBICERwQqBBJEAEPzA+lD4sPfA9xD2APQg8bDu4Otw5vDhMNqQ0+DN8MjQxIDA4L3wu8C54LgQtnC1MLRgtAC0ALTAtpC5ULxAvsDBIMQAx3DLAM3AzzDPYM6QzWDMYMxgzXDO4M+QzzDOMM1AzFDK0MiQxcDCwL/AvMC6ILhQtyC1oLMgsBCtoKxwrBCrgKqgqfCpsKlwqNCoUKkgq9CvkLKgtEC00LXQuFC8MMBAwrDCML4gtyCuIKQAmRCM8H+gcZBkAFhQT0BIgEMQPfA5ADUAMuAysDOwNMA1EDSgM9AzIDNANKA3IDpQPZBBEEVAShBO0FLQVoBa4GAgZKBmgGWgY7BiwGMgY7BjsGNQYzBjMGNQZOBqMHPgfwCHAIngifCLgJAQlKCVQJDQihCEkIFAfxB8kHnQd0B04HHgbgBpsGVQYJBbAFRwTWBGYD9gODAw4CmQIkAaoBKwCuADn/y/9e/vH+if4t/dj9hv0//RP9Ef00/WX9jf2c/ZX9gP1t/XD9kv3X/jv+vf9YAAEAoQEXAVABSwEYAM4AggBJACkAHgAbABP//v/U/43/LP7H/nz+Wv5O/jr+Cv3I/YT9Q/z9/LL8bfw5/BD74/uu+377YvtX+037PPst+yb7Hfry+pD6Aflq+PH4ofhu+EX4Hvf+9+f30/e996j3nvei96P3ivdQ9wz22fbA9rX2p/ab9qH2vvbi9vH23vat9mv2IvXW9Y31R/T89J30GPNi8nfxZvBL71Xupu5A7gzt8O3l7evt++4A7fTt4u3d7ejt+O4F7hvuSu6U7vPvavAC8LfxcPIa8sfzovS39dD2m/bt9uv21/bU9s/2rPZ09kj2PPZB9jz2IPX19cT1i/VE9PX0q/Rw9Ef0L/Qi9Bv0DvP189Tzt/Ok85fzh/Nx81nzQvMt8xLy8fLN8qnyivJw8lfyOPIQ8eLxtvGW8YXxfPF38XPxb/Fq8WLxV/FL8ULxP/FA8UPxQPEz8Rfw8/DT8L7wtPCq8JrwhfBx8GHwU/BH8D/wQPBN8GnwlPDO8RPxVvGO8bbx1PHx8hHyN/Jf8oXyo/K48sjy2PLo8vLy8/Lt8ufy6vL/8yrzZfOY853zWfLW8jzxtfFQ8QPwx/Cl8LDw6fE68YvxzfIG8jrya/KV8rry4vMW81jzpvP39ET0ifTJ9Qr1TvWP9cf1+fYw9m/2sPbu9y73fvfh+En4n/jh+R35Y/m0+gT6T/qc+vb7XvvK/DX8o/0W/Yv9+f5d/rv/GP9x/8UAGABvAMkBIAFyAcYCJAKJAuoDPAOBA8YEFARrBMcFIwV8BdEGHgZmBqsG8Qc6B4QH0wgkCHMIugj3CTAJbgmxCfIKKgpeCpYK2gsnC3QLtQvlDAkMKgxNDG8MiQyZDKYMtgy4DJIMOQvRC54LzAxJDNINLg1UDWINcg19DXINSA0SDOUM0AzUDPANIA1dDZsN1g4KDjYOWA56Dq4O/Q9fD70QEhBlELQQ3xC8EEAPgw6VDVELhQlHBysF8QX8BwcIZgmDCjQKmgraCv4LAgryCtwKxAqgCmwKNAoFCd8JsQlrCRIIuwh/CGUIXQhFCAIHmAcmBtMGqQaSBnMGRAYPBeAFtwWOBWEFNgUPBOcEuQSIBFgEKwP/A9MDqwOJA2QDOAMHAtsCugKbAncCUQI0AikCKQIoAiECGAIPAfwB1AGVAUgA+wC0AHUAPAAJ/9n/p/9u/zL+9v67/oH+Sv4Z/fD9zf2r/Yf9Y/1D/Sn9Evz+/O383vzM/Lf8n/yO/In8jfyR/JD8i/yG/IP8f/x6/Hb8dPxw/GT8UfxC/Dr8Mfwc/Aj8HPx4/Qv9lf3Q/av9Tfzu/Kn8fPxd/FH8Xfx4/I78kfyD/HD8YPxT/Er8SPxM/FD8TPxH/Ej8Uvxd/GD8X/xk/G78c/xr/Fn8SfxC/D78Nvwr/CL8Hvwf/CL8Kfws/B779vvG+7H70vwc/F38a/xE/An74PvW+9z74vvj++D73fvY+9D7yvvH+8j7yPvF+8L7wPu/+737ufu0+7D7sPux+7L7svuw+7D7s/u3+7r7uvu5+737xvvR+9b71vvW+9376fv1+/r7+Pvy++v74fvU+8X7tfuj+477d/ti+1D7Qvs2+yv7IfsU+wX68/rh+tL6xPqz+p/6ivp4+mj6WPpI+jr6Mfov+jD6M/o1+jf6Nvoy+iv6Jfoh+hj6CPnw+dT5vfmp+ZX5fPle+UH5KPkP+PL4y/id+G/4SPgl+AT33ve294/3avdI9yn3DPbx9tb2uvac9n/2ZvZP9jb2F/X29dX1t/Wd9YX1cfVf9U/1PfUr9Rz1DfT59N30v/Sl9I/0ePRd9ED0JvQN8/Hz0vOy85nzg/Ns81DzNvMg8wzy8vLQ8qvyi/Ju8lHyMfIS8fXx2PG58ZrxffFj8UnxM/En8SbxI/EQ8OrwwfCq8KXwpvCe8IvwdPBf8EzwOPAn8BjwDfAE8ADwAPAC7//v8+/k79rv1+/T78vvwu++773vve+978Lvy+/T79Xv1u/c7+jv9e/67/vv/vAH8BLwG/Ao8EDwZfCS8MLw8PEW8SvxMfEy8TnxSfFb8XbxsPIg8rLzLPNV8yLywfJx8lPyYPJ/8qLyx/Lt8w/zK/NC81vzfPOj88nz5vP29AP0HfRP9JD0zPT39RL1KPU+9VH1aPWW9eH2NvZ09of2gvaB9ov2j/aF9oL2r/cO93T3pfeJ9zn25vau9pn2qPbV9w/3N/cx9v32tvZ19j72A/W69Wv1I/Tq9Ln0iPRc9D30K/Qg9Bf0EfQV9Cf0RPRn9JH0yPUP9Vn1lPWu9aP1gPVY9Tv1L/Uy9Tv1RfVO9Vf1YfVp9W71bvVs9Wv1avVp9WP1V/VD9S71G/UR9Qz1B/T49N30tvSO9Gz0VPRF9D70QPRK9Fn0ZvRo9F70TfRA9EP0W/SF9Lj05/UG9Q/1APTe9LP0iPRd9DH0BfPX86nze/NO8ynzDfLx8sbyhPI58gLx7/Hq8crxdvD98JHwWPBT8F/wVfAd77vvP+7A7lPuAO3A7YLtO+zy7LXsiexl7EDsH+wQ7BTsIOwm7CbsLexC7Fzsb+x+7JTstuze7P7tGe047WPtkO227dbt++4q7lruhO6w7ubvIe9L72PviO/p8I3xOPGd8ZfxT/EM8PrxEPEt8UHxVPFy8ZrxwPHe8fjyE/Is8jzyQvJF8kzyWPJo8nryjvKq8s/y/vMx817zgfOZ87DzzfP29Cj0X/SW9Mz1AfU49XD1q/Xo9ir2cfa89wr3Vvei9/D4QfiR+Nr5Hvlk+bL6CPph+rj7Eftt+8v8J/yA/Nr9OP2Y/fX+TP6j/vz/V/+xAA0AbQDUATsBngH8AlkCugMaA3UDzAQiBHoE1AUvBYoF4wY6BpAG6QdKB7QIJAiRCPcJUwmnCfIKNQpyCqgK2AsECy0LWguLC7wL6AwNDDIMWQyADKEMvQzaDP0NJQ1KDWsNjw26DecOCw4fDiwOPQ5XDnMOiA6XDqgOvw7ZDusO9Q77DwAPBQ8BDvIO3Q7RDtgO6w73DuoOwg6QDm8Oaw58DowOjQ6ADmwOUw4xDgQN0g2mDYcNcw1mDV0NXA1lDXcNjA2gDbINyA3mDhQOVA6lDwQPag/MECAQYRCWEMsRABEyEWQRpRIHEnwS1BLWEm8RyxEwEM4QoBCDEGAQNRAUEAUQChAlEFAQgBCkELIQshC1EL8QwhCtEHkQLQ/eD6gPrxAKEK4RbBIIEmESiBKnEtkTGxNZE4cTpBO1E8ET1hQJFGIU0RUyFWYVaBVDFQoUyRSPFGgUVBRBFBgT1hOQE10TQRMpEwISzBKPEk0R/BGUEKEQOg/oD6wPgA9kD1YPTw9CDyQO9g7DDpMOYQ4hDckNYAz1DJcMTAwQC94LtAuTC3kLZAtQCz8LNAstCy0LOgtXC4ALrQvXDAIMNQxxDKsM1wzsDOoM1wy6DKEMmwyuDM0M5wzxDPIM8QzrDNUMqwx3DEIMEwvmC70LnQuCC2MLNgsBCtUKvQq1Cq4KowqYCpAKiAp+CnkKiQq2CvkLQQuBC7gL6wwaDD4MUQxJDCAL0QtjCuIKWgnOCTUIiAfKBw8GawXmBXMFAgSKBBgDwAOQA4IDigObA6sDtQO0A6sDpwO2A9kEBwQ1BGsEswUMBWYFsQXxBjQGegasBrMGkQZkBkoGSAZRBlYGVgZPBj0GKwY9BpoHQQfxCF8IdAhkCHQItQj0CPYItQhdCBsH9QfSB6QHdQdRBzMHCAbGBngGKwXfBYkFIgSvBDsDyQNXAuMCbgH6AYQBDACTAB7/rf88/sr+Wv3t/YP9H/zM/Jn8jvye/LP8uvyt/I/8Z/xC/C78Ovxv/NH9Xf4R/t//rABSALYAzwCqAGQAHP/m/8j/u/+5/7//yv/H/5//SP7d/on+Zv5l/lz+Mv3t/aL9V/0M/MD8gPxU/C77/Pu5+3r7U/tI+0b7P/s2+y/7IPry+pf6GvmX+Sr41viV+Fz4KvgB99/3vved94H3cvdr91j3J/bd9pn2e/aH9qP2s/av9qT2ovaq9q32oPaA9k/2FfXX9ZX1SvTp9GrzyvMG8hzxEvAJ7zTutu6F7njua+5e7l7ua+5x7mHuR+457jfuMe4f7g7uC+4Y7i3uXe7F73LwP/EF8cjyu/P79U/2TPay9qf2ivaX9sD20va79pb2fPZs9lP2KPX49cv1nPVb9Qz0wPSJ9Gr0WfRJ9DT0GfP88+LzzfO/86/zmvOA82nzV/NF8yzzCvLn8svyufKp8o7yYfIl8efxtvGX8YbxffF88YDxhfGE8XrxavFc8VTxTvFK8UfxRfE+8SrxC/Dt8Nzw2vDa8M/wt/CZ8H3wZ/BW8E3wTvBg8IPwt/D28TbxbvGb8cLx5/IN8jHyUvJy8pPytvLX8vTzCfMS8w/zCPMF8w3zHvM181TzfPOh86LzXvLV8ivxj/Eb8MnwjfBt8HjwsPEE8VjxovHn8izybfKj8tDzAPM+84vz3vQp9Gb0m/TS9Rb1YPWl9dv2BfYw9mT2nPbW9xf3a/fU+EP4ovjt+TH5e/nO+iH6c/rG+yL7hfvp/E/8uv0t/aD+DP5v/s3/KP+A/9QAJwB+ANYBKQF4Ac8CNQKkAwoDWQOXA9QEHgR1BNIFLQWFBdgGJgZtBrAG9Ac7B4QHzggYCF4IoQjhCR8JYQmlCekKKgpoCqcK7gs7C4YLwgvpDAMMGww8DGEMfwyTDKMMrgydDFUL1AtOCw4LPgvIDGcM5A0yDV0NbQ1dDS4M9wzRDMQMyAzXDPcNMQ15Db8N+A4rDlwOig6zDuUPLQ+LD+sQPBB8EK0QuBB9D/UPPQ5kDUMLmwl0B1kGEwYTBxsIegmYCkcKrQryCxkLGgsBCugK1gq7CokKSwoVCe4JxgmICTAI1AiQCHEIaAhQCA8Hpwc7Bu0GxwaxBpAGXwYpBfoFzgWcBWcFOAUXBPwE3gS3BIwEYQQ3BAwD4gO8A5UDagM9AxUC8wLTAq4ChgJnAlkCVQJTAksCPwIwAhcB6wGsAWIBFgDPAI4AVQAj//T/wv+L/1L/Gv7i/qn+cP49/hX99P3V/bP9kP1u/U/9Nf0f/Q/9APzt/NP8uPyk/J78oPyi/J/8mPyS/Iv8gvx7/H38i/yb/Jz8jfx7/HP8bfxW/C38GvxP/Nj9hf4I/jP+C/2z/Uj82vx7/ET8Qfxi/IL8ifx6/Gj8XfxV/E/8TPxQ/Fb8WPxV/FP8V/xg/Gb8avxv/Hb8efxy/GH8UPxD/Dz8Ovw8/EH8Qfw5/C/8MPw9/ET8MPwF++D74/wN/D78Ufw+/Bn7+/vu++v77Pvx+/r8A/wD+/j76/vk++X75/vm++H73Pvb+9z73Pva+9f70/vQ+8z7yvvI+8r7zvvS+9X71PvT+9b74Pvt+/b7+vv7/AH8C/wW/B78Ivwk/CT8HvwQ+/375/vT+777qvuW+4T7dPtm+1n7TvtC+zH7GvsA+ur62frJ+rf6ovqN+nz6bvpi+lb6TPpH+kf6SvpO+lP6VfpT+k36Rvo/+jf6KvoW+f355fnP+br5ofmF+Wj5Tfk0+Rf48vjH+Jr4cPhK+CX3/vfX97D3jPdp90j3KfcL9u72z/aw9pL2ePZe9kP2I/YD9eX1y/W09Z/1jPV89Wz1XPVK9Tn1JvUP9PH00fS09Jn0fvRi9Eb0LPQS8/bz2fO/86vzmvOG82vzUfM68yPzBvLj8sDyofKF8mbyQ/Ih8gHx4fHA8aHxiPFx8VnxP/Et8SjxJfET8O/wxvCq8J/wnPCV8IbwdfBl8FPwQfAv8CHwGPAR8BDwFfAX8A/v/e/q797v2e/R78Tvu++778HvxO/C78Lvye/S79Pvy+/F78jv0u/a797v5O/v7/7wC/AX8CXwOvBZ8IPwtvDn8QnxFfEU8RfxIvEv8T7xZfHA8k/y5PM/80Hy/PKk8mXyUPJd8nvyoPLE8ufzCfMs81DzdPOZ87zz2fPq8/X0C/Q79H/0wfTw9Qv1HvUv9T71UfV49br2B/ZB9lT2UvZU9mT2cPZs9mr2ivbU9yr3XPdW9yT24faf9mv2V/Z09rX28vcA9tb2kPZO9hn14/Wj9V/1KPUE9Or0z/Sw9JP0evRi9Ev0O/Q79Ez0Y/R79Jj0xPUF9U/1ivWl9Z71g/Vj9Uv1QPVB9Ur1VvVi9Wv1c/V89YT1ifWI9YD1cvVh9VH1RPU59S/1JfUd9Rj1E/UI9PD0zvSq9Iz0ePRr9Gf0avR49Iv0mvSc9JH0gfR69In0rvTf9Q71L/U79S/1D/Tj9LP0iPRh9Dr0EPPi87DzgPNT8y7zEPLw8sHyf/I58gbx8fHk8bvxY/Dz8JfwbfBo8GHwOu/u74/vLu7W7ofuPe3z7aHtSOz07LDsfexQ7CfsB+v97AXsD+wR7BHsG+w07E3sWuxh7HLsk+y77Nzs9+0Y7UPtcO2X7bnt4u4Q7j3uZe6T7s7vB+8q70DvgfAk8Rnx//Jk8ibxjfEH8Nfw7vEW8THxRPFg8Ybxq/HJ8eHx+fIP8h3yI/Ik8ibyLPI18kPyV/Jv8o7ysvLb8wXzK/NN823zkfO/8/T0LvRn9J701fUN9Uj1hfXC9gL2RfaN9tb3Hfdi96r39/hD+Iv40fkf+Xn52vo5+pH65vs/+537+vxS/Kn9Bf1j/b7+FP5r/sT/IP97/9gAPAClAQ4BbgHJAiUChgLpA0cDnwP2BFAErQUJBWEFuAYQBmsGzQc3B6cIFwh+CNkJKgl1CbkJ8woiCksKcwqgCtELBgs5C2gLkwu9C+gMEww6DFoMdgyTDLcM2wz6DRYNNw1hDY0Nrw3BDcwN3g36DhkOMw5IDmAOfQ6WDqUOqA6nDqcOpQ6XDn4Oaw51DqcO7Q8dDxMOzA5rDh8OAw4ODiQOLQ4lDhAN8w3ODaMNeQ1XDUENMg0oDSUNLQ1ADVgNbw2GDZ4Nuw3fDgoOQg6KDuIPQQ+YD9wQDBAyEFkQfxChEMUQ/xFbEcgSFBIKEaURFBCbEFwQTBBFEDIQGhAKEAkQGBAzEFkQgBCaEKEQohCwEM8Q6RDlELQQaBAiEAsQPRC3EVwR+RJpEqUSxBLmExQTQBNdE2oTbxN2E4sTvhQdFKMVLBWNFawVkRVZFRsU3hSkFG8UPhQJE8kTgxNMEywTGRL6EsESdhInEdYRfBEREEAP7w+vD30PVg88Dy0PJA8QDusOtQ57DkQODQ3KDXINCgyiDEoMBwvTC6ULewtZC0ILMwslCxgLEAsPCxgLLAtKC24LlAu5C+MMGAxVDI4MuQzPDNMMxgytDJMMhgyQDKoMxwzdDO0M+gz8DOcMuAx9DEcMHAv4C9YLtQuWC3ALPQsECtIKtAqnCqAKlQqICnwKcgprCm4KhAqxCvELOwuIC9EMCwwtDC4MEAvbC5YLRArmCoUKJQnJCWcI8whtB+UHawcBBpYGGwWPBQgEnARPBBwD+QPsA/QEBQQLA/8D8QP6BCAEVwSSBNIFIgWEBecGPgaIBskG/wcWBwEGzQaVBnIGZgZoBm8GdQZvBlcGPQZPBrAHVQf6CFkIZghRCFQIdQiNCHkIQAgFB+EHyAeiB24HPwckBxAG6AajBk8F/wW2BWYFAgSOBBcDpAM0AsECTQHaAWkA9gCCAA7/mf8n/rb+R/3X/Wb8+Pyd/GP8TPxH/Dz8HPvq+7L7e/tL+yr7I/tD+5T8GvzT/bP+mv9h/+gAIgAe//z/1/+8/6P/h/9r/2P/eP+W/5X/Xf8D/rP+jP5//mf+MP3p/aj9cP0z/On8n/xl/Dj8BfvF+4L7UPs5+zT7OPs/+0D7LPr1+pr6LPnA+V75BPiv+GT4Kff899X3qvd891b3Qfc09xr25vag9mj2XfZ/9q72xva59pX2c/Zh9l72XPZQ9jT2CvXU9ZL1OPS+9CPzcPKn8b7wuu+87wHuru6x7s7u2O7O7sju0e7W7sjur+6d7pLuge5k7kfuMu4X7ezty+3u7m/vMO/98NDx2PMy9KD1rPYR9f/16fYY9nP2t/bD9qr2jvZx9kX2CvXS9az1jfVd9Rj01fSs9KD0nfSN9Gz0Q/Qf9AXz8/Pk89Pzv/Op85bzhPNu81DzKvMG8uvy3PLL8qfya/Ig8dnxpfGG8XTxbPFv8X7xkfGZ8ZLxg/F48XLxbPFf8U7xQPE18SbxEfD88PXw+/EC8Pzw5/DJ8K/wmvCI8Hnwc/B+8KDw1vEV8U3xePGb8cPx+PIx8mHyf/KS8qbyw/Lo8w3zKfM28zXzLfMs8zjzS/Ng83XzkfOp85zzSPKn8ePxNPC68G/wPvAk8C3wX/Cs8PzxR/GT8ebyO/KJ8tTzJ/OL8/j0WPSe9M309/Uu9XT1wfYC9i/2S/Zj9oH2qPba9xn3bPfS+Dz4nvjx+T75j/nn+kL6ofsD+2X7wvwa/HT82f1I/bf+Hv5+/t3/Pf+Z/+4AQQCWAOoBOgGJAeQCTgLAAyQDcQOuA+sENASGBNwFMgWJBd8GMAZ4BrcG+Ac+B4gH0ggYCFwIoQjnCSwJbgmwCfIKNAp1CrcK/AtFC4oLvQvZC+gL/AwhDE4MdQyPDJ8MnQxuC/sLUgq4CnwKvwtbDAgMkgzvDSUNNA0ZDOEMsgyqDMYM7g0WDUQNgw3KDgcONA5cDokOtQ7cDwcPSg+oEAkQVBCDEJ0QkxBID7QO8w4dDRMLjwmIB3oGLQYgByAIgAmeCksKrwr2Cx8LIgsKCvQK6grXCqcKYQohCfYJ0wmfCVAI9girCIAIbQhUCB0HyAdrByIG8wbNBqAGbAY+BhoF8wW9BXoFQAUaBQQE7gTPBKsEiQRnBEIEGAPtA8IDlgNpA0ADGwL4AtUCsgKYAokCggJ7AnECYgJMAikB9wG5AXQBLgDoAKUAbAA7AA//3/+q/3T/QP8M/tX+nP5o/j7+Hv4B/eH9wP2d/Xz9X/1H/TT9I/0N/PH80/y8/LL8sPyw/Kv8pPyd/JX8jPyF/In8nvy3/MP8uPyl/Jf8jPxy/EH8GPwo/Iv9Kv3I/jL+Uf4l/br9J/ya/EP8NvxY/Hz8hPx1/Gb8X/xc/Fb8U/xZ/GT8a/xq/Gb8aPxx/Hr8f/yB/IH8fvx2/Gn8WvxM/EL8QPxK/Fn8YPxW/ET8PfxL/GD8ZPxM/Cj8D/wO/Bz8Kvwz/Dj8Ovwz/CD8DPwF/BH8I/wt/Cb8GPwP/A/8EfwO/Af8APv9+/37//v++/r79Pvu++r76Pvo++f76Pvr++/78/v2+/n7/vwF/A38EvwX/B78KPww/Db8O/xF/FD8VvxP/Dv8H/wD++z72fvI+7j7qPuZ+4z7f/tw+1z7Qfsi+wf68vrh+s/6ufqj+pH6g/p4+m/6Z/ph+mD6Yfpk+mn6bfpu+mv6Zvpg+lj6Tfo9+ij6EPn3+d35wvml+Yn5b/lV+Tn5F/jw+Mb4m/hx+Ej4Iff799f3tveV93X3VPcw9wv25fbD9qf2kPZ59l/2QfYh9gX17fXW9cD1qfWU9X/1avVV9UH1LPUU9Pn03PS/9KT0ivRv9FX0PfQk9Arz7/PZ88nzufOl84rzbvNS8zTzE/Lv8s/ytPKY8nfyUfIu8g7x7/HQ8bPxnPGJ8XDxU/E58SvxIvEQ8PDwyfCq8JfwivB+8HHwZ/Bf8FTwRfA38CvwI/Ad8B3wIPAf8BLv/O/p7+Dv3O/S78Dvs++178Hvx+/E77/vwe/I78nvv++077Dvte+778Pv0O/j7/jwBvAM8A/wFfAk8ETwc/Cq8Nbw7vD18PvxB/ET8R/xOvGB8gHynfMd81PzNfLj8ozyU/JE8lXydPKV8rjy4fMP8zvzYPOB86PzxPPd8+70BPQw9HD0sPTe9Pn1DvUm9T/1WPV59av15PYQ9iH2JPYu9kP2VfZX9lj2cvaq9uz3F/cb9v72xvZ59ib18fX69kD2lvbC9qz2a/Yn9fX10fWu9Yr1bfVa9Ur1NfUb9P704fTE9Kf0lfST9Jz0pfSr9Lf02fUV9Vr1jvWh9Zj1gfVp9Vb1S/VJ9VP1YvVx9Xr1ffWA9Yj1kvWY9ZT1gvVn9U71QPU+9UL1RfVC9Tz1NPUm9Q/08vTV9L70rfSi9J30oPSt9L70zPTR9M70zPTT9Or1DfUx9Uv1VPVL9TT1EvTr9ML0nPR49FL0JfPw87fzgvNU8y/zD/Lt8sDyhPJD8g3x6fHJ8ZXxRfDw8LfwofCX8HHwI+/A72bvJe717sTuhO4w7crtXuz87K/sd+xJ7CDsAevz6/Xr++v86//sDewn7D7sR+xL7FrseOyd7L3s2uz+7SvtWO1+7aHty+367iXuS+537q/u5e8G7yPvefA58UjyM/KF8ijxcfDe8K7wy/D68RnxLPFH8WvxjvGq8cHx1/Hq8fTx9fH08fTx+vIE8hTyKvJC8lvyc/KQ8rHy1fL78yTzUPOF88Dz/fQ49HD0p/Tf9Rz1W/Wa9dn2GfZd9qL25/cq93D3uvgF+Ez4lPjk+UT5qvoL+mL6tPsN+2z7yvwi/Hn80/0w/Yv94v44/pL+7/9L/6gACgBxANcBNgGRAe4CUQK3AxcDcQPMBCkEhwTjBTkFjwXoBkgGrwccB4sH9QhUCKYI8Qk2CXQJpQnMCe4KFgpICoAKuArpCxULPgtoC5ULwAvnDAgMKAxLDHEMkwyvDMgM5g0MDTINTg1fDWwNfw2bDbsN2Q33DhUOMg5FDkwOTA5RDlkOWg5JDisOHA44DoYO5Q8eDwgOow4fDbQNhg2ODawNwg3CDbANkQ1qDUQNIw0ODQAM9gzxDPYNCA0jDT4NVQ1sDYsNsQ3ZDgEOLQ5nDrQPCQ9YD5EPtQ/ND+EP9BACEBAQLhBnEK4Q3xDZEJoQRhAJD/UP+hACEAAP/BABEBAQJRBAEGIQgxCXEJsQmxCsENYRAxEREO0QqhB0EHkQyRFTEekSXxKmEsoS6RMPEzMTQxM9EzMTOhNgE6gUEhSZFSkVnBXQFbwVexUuFOsUrhRwFCwT4xOWE0oTCxLmEtoS0BKtEmcSCxGvEVYQ/RCeEAwPyg+TD2MPOQ8YDwEO7w7ZDrYOhA5GDgMNuw1rDRAMrAxMC/wLwAuRC2YLPAsbCwkK/wr3CuwK5QrpCvsLFws4C1gLdguWC7sL6wwjDFoMhgykDLYMvAy2DKcMmQyWDKAMsAzCDNUM5gzpDNIMogxpDDgMEwv0C9MLsQuOC2YLNQr+Cs0KrQqfCpcKjgqACm8KYgpeCmoKiAq1CuwLKQtoC6UL0wvkC88LmQtRCwQKuQpwCioJ6QmqCWkJHgjICHAIIgfaB4gHHwakBioFwwVqBRMEwQSGBG8EbgRlBEkEKgQpBFEElATdBSoFgQXlBksGpwb2BzYHYAdkB0IHCwbWBq4GlgaLBo0GlgaWBoEGbQaCBt8HbAfuCDQIPAguCCwILwgfB/EHugeWB4kHfAdcBy4HCAb1BuQGvAZ1BiEF1AWQBUQE4wRvA/gDhwMaAqsCOAHFAVcA7QCCABH/nP8n/rf+TP3h/XH8/vyY/E78IfwB+9T7kvtC+vj6vvqX+n/6ePqK+sH7KfvL/KP9lP5z/xb/bv+K/4//lf+e/5f/c/9A/yH/Lf9W/3H/X/8n/ur+vf6S/lP+Af27/Zr9kv14/TL8y/xk/BT72fum+3T7Sfsq+x/7J/s6+0T7Lvru+pD6LPnQ+Xb5Gfi5+Gb4Kff999H3nPdm9zv3JPcW9vz2y/aP9mT2YPaA9qb2svaZ9mn2PfYm9iX2K/Yp9hb18/XA9Xj1D/SC89vzK/Jw8ZTwj++G7r/ubu6F7sLu7O767wPvFe8k7yPvFe8G7vPu0u6o7oLuZO437eftj+1s7afuMO7h77PwyvIw8530nvT+9P31EPVy9f72ZfaH9oP2ffZ29lf2HfXf9bP1kvVj9SL05vTJ9Mz01fTM9Kv0f/RZ9Dz0JvQT9APz9/Ps897zx/Op84LzVfMn8v/y3fK98pPyV/IQ8c7xnfGA8W/xafFz8Yvxp/G18bDxofGV8ZDxifF48WLxTvFB8TPxIvET8Q3xEPET8Qvw+vDo8Nzw1PDI8LbwpPCf8Lbw6vEt8WvxlvG18dvyEvJT8oryqvK58sXy2PL08xTzNfNR82PzavNt83XzgvOS86TzufPC853zJ/Jg8XvwufBA8ATv5+/a7+fwFPBY8J/w4vEt8Yfx7PJT8r/zO/PM9Fz00vUf9VD1gPW/9gv2VfaP9rD2vPa/9sL20fb29zT3iPfo+Er4pvj9+VL5qPoE+mr62/tR+778GPxk/LH9Cv1t/dD+LP6I/un/Tf+sAAMAVgCpAP0BTgGgAfsCYwLOAy8DgQPJBBEEXgSqBPUFQQWVBe0GQQaKBscHBQdKB5UH3ggjCGcIrwj7CUQJhwnECgQKRwqLCs4LEQtUC40LsAu9C8QL2wwKDEEMbAyGDI8Mfgw0C58K3Ao+ChUKcwsfC8kMQQyIDLAMvwyzDJsMlQy2DPQNNQ1sDaIN4g4hDlAObw6MDrEO1g70DxYPVA+yEBMQWhCDEJgQjRA+D50Oyg3tDPMLlgm4B7wGYgY6ByYIfgmcCkgKqQrwCyMLMgsjCw8LAwrtCroKcQosCfwJ2QmpCWIJDwjHCJcIfQhnCEIIBge5B2wHJAbgBqIGcQZVBkYGLAXzBaMFWAUkBQgE8QTXBLsEowSKBGkEPQQOA+EDuAOOA2MDOgMUAvQC2wLHArYCpgKXAogCdgJcAjUCAAHEAYcBRwEEAMEAhgBVACn/+v/G/5L/Yv80/wP+z/6e/nT+Uf4w/g797P3N/bH9l/1//Wf9Tv0x/Q/87vzV/Mj8xPzA/Lj8rvyl/J/8nPyc/KP8tfzK/NT8y/y2/KL8j/x1/E38Jvwg/FH8tf0y/ab98v38/bb9Nfyu/Fv8UPxt/IT8gPxu/GT8Zvxn/GH8Xfxl/HP8e/x4/HP8dPx8/IT8hvyC/H78efx1/G/8Zvxa/E38SPxS/Gf8ePx5/Gz8Yvxn/Hb8gPx3/F38PPwh/BX8Hfw8/Gj8ifyL/Gz8Qvwp/Cz8P/xO/E78Rfw//D78Pfw3/C78Jvwi/CL8Ivwh/B78GvwW/BT8FPwS/A38B/wF/Az8F/wf/CL8IPwd/B78Ifwo/DP8P/xH/Er8TfxY/Gv8ffyD/Hb8Wvw7/B78CPv1++T71fvG+7b7pvuU+337YvtF+yn7Efr8+uj60vq8+qj6mPqN+oX6f/p9+nv6e/p7+nz6fvqB+oL6gvp++nf6bPpe+k36OPof+gL55PnG+ar5j/l0+Vb5N/kU+O74w/iX+Gz4RPgg9/733/fC96T3hPdf9zT3CPbi9sb2sPab9oL2Y/ZD9iX2CvXw9dX1ufWb9X/1ZPVM9Tb1I/UP9Pv05fTP9Ln0o/SN9Hf0YfRK9DD0FvP+8+rz1/O/86HzgfNe8zrzFfLy8tbyvvKj8oDyW/I58h7yBfHp8c7xuPGm8Y/xcfFT8TzxKvEU8PXw0vC08Jzwh/B18GfwYPBc8FTwSPA88DLwKfAg8BrwF/AS8APv7+/g793v3O/R773vre+t77nvwO+977bvs++177Tvre+m76bvq++x77jvxe/a7+/v/O//7/3v/PAB8BLwM/Bj8JbwvvDZ8O3w/vEK8RLxI/FW8b7yT/Lg80DzTvMR8rDyXPIz8jXyTfJp8ojysfLk8xfzP/Nh84bzsPPU8+70B/Qw9Gr0pvTR9Or1AfUf9UP1Z/WJ9a310fXt9fv2BfYX9jD2Q/ZJ9k72Y/aO9r/23/bo9tb2qPZY9fb1q/Wl9ev2UfaY9pn2ZPYi9fT13/XY9dL1yPW89ar1k/V49Vz1QPUk9Qv0+vTz9O303/TO9Mz07PUs9XL1nvWl9Y/1cvVa9Un1P/U+9Un1XfVu9Xf1ePV49X71jPWZ9Zv1jvV19Vz1T/VS9V31ZvVo9WT1XPVP9Tr1IPUF9O702vTK9MD0wPTK9Nn06fT39QT1FfUp9T/1U/Vf9V/1U/U/9Sr1FPT79N70vvSa9HD0PPP+87/zh/NY8zHzD/Lr8sDyifJL8hHx4fGz8XvxOfD+8N3w0PC38HHwBe+V70rvK+8g7wnu1O597gvtje0X7LrseexK7CLsAevs6+Xr5+vq6/Dr/+wU7CXsK+ww7D/sW+x77Jnsuuzk7RjtR+1s7Y7tuO3n7hLuNu5d7pDuxO7o7wvvW+/+8Nnxj/HH8Xfw7/CP8IHwqPDU8PDxBfEi8UbxZ/GB8ZjxrPG68b7xu/G48bzxxvHW8ezyBfIc8jDyQfJV8nDykvK58uTzFfNO84zzzfQL9EP0efSx9O31LfVt9av16fYq9m/2tfb690L3jffY+CH4aPi3+RT5d/nW+iz6gfrd+0D7ofv7/FH8qv0G/V/9tP4J/mT+wv8g/3v/2QA7AJ4A/gFcAbsCIAKGAugDRQOgA/0EWwS1BQ0FZwXGBioGkgb7B2IHwwgaCGYIrAjsCSMJUQl2CZwJygoACjoKbwqdCsUK6wsTCzwLZAuJC64L1Av9DCUMSAxkDH0Mmgy7DNsM9Q0IDRkNLg1GDWANfA2bDbsN1w3mDesN7w34DgIOAg3xDd4N4w4UDmkOuQ7TDpwOJA2YDS0NAA0MDTANTw1XDUkNKw0IDOkM1AzJDMMMvwzADM4M6A0HDSQNPA1XDXoNpA3MDfAOFQ5GDocO0g8VD0QPXg9sD3cPgg+MD5MPnA+wD8oP3Q/dD8sPtw+vD7cPww/KD9AP3Q/4EB0QRhBvEJcQtxDEEL0QrxC0ENgRDREwESkRAxDkEPkRTxHNEkcSmhLFEt4S/RMkE0ITSBM9EzsTXhOxFCsUuRVDFa0V3BXCFW8VCBStFGgUMhP6E7kTbxMfEtISlxJ5EnISZxI+EfIRlhE+EO8QpRBXD/UPtQ97D0YPFA7oDsUOqw6WDn0OUw4UDcENZA0GDKoMTwv6C7MLfgtUCywLBgrpCtwK2QrVCssKwwrHCtoK9wsXCzQLTwtqC4kLsAvgDBMMQwxtDJAMrQy+DMAMuAytDKUMoAyiDKgMrwyrDJQMbQxCDB8MAQviC7sLkwttC0gLHwrzCswKsgqlCqAKmQqMCnkKaAphCm0Kiwq1CuILDQs2C1wLdgt7C2QLMwrxCqsKagovCfcJvQmBCUQJBgjJCJEIZAg8CAsHxwd0ByMG3gaXBj4F2AV+BUMFHgT2BL4EiAR1BI8EyAUMBVcFrAYMBmsGwQcLB0UHaAdpB08HKQcFBuMGwwauBqoGswazBqMGmAa1BwQHage3B9kH4QfoB/MH7gfFB4MHSAcrBycHJQcTBvcG3QbKBrMGhQZBBfMFqwVpBR8EvwRNA9gDagMDApgCJgGzAUkA5wCHAB7/qv8y/r7+Uv3o/Xr9BvyX/Dv79fu5+3L7Gfq3+mT6LfoW+hf6JPo3+lf6lvsM+8n8uv2t/mz+2v8I/yD/QP9l/3X/Xf8r/wL+//8b/zn/Pf8p/wr+4/6h/j390P2N/Yz9sf28/Xz89/xa+9j7hftY+z77KPsR+wT7Cvsf+yv7FfrV+nn6GvnD+Wv5C/it+GL4LfgD99L3l/dg9zz3KvcZ9vn2xfaP9mv2ZfZz9oH2efZa9jL2F/YT9iD2K/Ym9g715fWt9V305/RQ867zFPJ18azwo+9+7o7uGO4b7lvum+7G7urvD+8w70TvS+9L7z3vFu7c7qTudu4+7ejtgO007S7tb+3p7qbvu/Eb8nTzZPPQ9AH0XvUF9bz2N/Zk9m/2hPaf9qD2evY+9gX10/WX9VD1EPTr9OT05vTc9ML0ovSF9Gv0UvQ99DP0MvQw9CL0BfPh87vzkPNb8x7y5PKy8ofyWvIm8fDxxPGl8ZTxkPGc8bXx0PHe8djxxvGz8aPxlfGG8XjxbvFn8V3xTPE78S7xJPEZ8Qvw+/Dy8PPw9/D28Onw1fDF8M3w+fFA8Y3xxvHq8gjyMPJl8pnywvLe8vHzAPMN8x/zPvNp85Tzr/O487rzwvPS8+Xz8PPf85Xy9vIN8RHwR+/T76bvm++c76/v3fAc8FnwlPDa8TjxqfIh8p/zMfPW9Hv1AvVf9aP15/Y59o722PcL9yf3Lfcg9wz3Bfce91z3s/gR+Gz4wvkZ+XH5yvon+pP7E/ua/BT8cfy3/Pr9Rf2Y/er+O/6R/vP/WP+3AAwAXQCyAQkBXwG0Ag4CbgLRAzEDjQPmBD4EkQTbBR4FZAWxBgYGWAagBt4HGgdcB6MH6gguCHUIwQkQCVsJnQnaChoKYAqnCuwLLQtoC5QLpwuoC7AL0wwODEgMawx3DHQMVgv9C1oKkwoBCe0KWwsHC50L9gweDDQMSQxgDH0Mrgz1DUUNig2/DfEOJw5aDnwOkw6tDtAO8g8IDyIPWg+0EBMQWRCEEKAQnxBXD7IO0Q3tDQMLzAoVCCUGtgZmBzIIfwmeCkkKpgrtCyoLSgtFCy8LFQrzCrsKcwoxCgIJ2gmnCWMJGAjWCKYIhQhuCFUILgfwB58HQgbpBqEGeAZvBnMGYwYrBdMFegU4BREE9gTfBMkEtQScBHgESQQYA/ADzwOuA4YDWwM0AxgDBQLzAt4CwQKkAosCdgJdAjgCCAHRAZkBYAEiAOMAqAB1AEUAFP/g/63/gf9X/yz+//7U/qz+hv5f/jn+Fv38/ej91v2//aL9fv1W/S79C/zy/OT83fzW/Mz8vfyx/Kz8sPy4/MP8zvzW/Nj8zvy7/KT8jvx4/GL8UPxH/E78avyf/Ov9Of1k/U79Avyt/ID8gvyU/JX8gvx1/H38jvyT/In8fvx+/If8ivyE/Hz8e/yB/IT8gfx6/HX8dPx4/Hz8evxw/GH8Wfxg/HT8ivyU/JL8jPyJ/Iv8jPyH/Hn8YvxE/Cz8K/xM/IP8sPy5/Jv8bfxP/Ez8Wvxo/G38bPxr/Gr8Zvxe/FT8TvxL/En8SPxI/Ej8SPxI/Ef8R/xD/Dv8MPwq/C/8PPxI/Ez8Rvw+/Dn8OPw+/Er8V/xg/GL8Yvxn/Hb8jPyb/Jr8ivxv/FL8N/wf/Ar7+Pvo+9j7xfuv+5j7f/tm+0z7MfsX+v/66frU+sD6r/qj+pv6mPqW+pX6lPqS+pH6kfqT+pb6mPqW+o76gvpz+mP6Ufo7+iH6A/nm+cv5sPmT+XP5VPk0+RL46vi++JP4a/hH+Cb4Bvfr99H3tveT92n3O/cQ9uz2z/az9pb2dfZS9jD2EfX09dj1ufWa9Xz1YfVK9Tb1JfUW9Qj0+fTp9Nj0x/S29KP0jPRz9Fj0OvQe9APz6fPN867zi/Nl8z/zGvL68uHyyfKs8oryaPJN8jjyI/IK8e7x1fHA8anxjvFw8VTxOfEc8Pzw3vDD8K3wlvCA8G/wZvBf8FXwSfA98DLwJ/AZ8AvwAu/67+7v4O/W79Tv1O/K77jvqe+l76zvse+u76nvpe+i753vmO+Z76Pvru+077fvve/J79jv4+/q7+3v8O/y7/jwCfAr8Fvwj/C98N/w9PD+8QHxCfEr8Xnx9fKI8wbzQfMl8svyZ/Ip8hzyLvJF8l3ygPKy8unzGvND827znvPM8+/0DPQz9Gj0ofTN9On1APUf9UX1bvWT9bL1y/Xb9eb18/YJ9iP2NvY99kT2V/Z59p72uPbE9sD2ofZg9gX1tvWi9dj2N/aG9pr2dvY+9hT2BfYI9gz2CfX+9ev11fW+9af1kPV69WX1U/VA9ST0/PTV9Mv07/U59YX1rfWm9YD1WPU79Sr1IPUe9Sb1NvVI9VX1XfVl9XD1ffWJ9Y31hfVz9WL1W/Vg9Wn1cPVx9XD1bvVp9Vr1QvUm9Qn07PTT9MP0v/TJ9Nv08fUJ9SX1QvVY9WT1ZfVc9Uv1N/Uk9Rj1EvUK9Pr03vS39If0TfQN887zmPNt80fzIfL48sjykPJT8hzx7fHB8Y3xUPEY8PTw2PCo8E7v1+9x7z3vOu9G70DvF+7J7lvt1+1P7NzsiexS7CjsA+vo69rr2Ovc6+Tr7+v97AbsC+wS7CLsPOxY7HTsluzE7PztL+1X7Xztpu3W7gHuI+5F7nLuo+7N7vPvLu+U8BfwgfCk8IPwUfBA8FnwhPCl8Lrw0/D08RjxNfFN8WTxePGE8YXxgPF/8YfxlvGq8cLx3PH08gbyF/It8krybfKS8rvy6fMg817znfPb9BX0S/SC9L30/fU+9X31uvX69j/2h/bO9xb3YPer9/X4PviN+Of5Rvmj+fz6Vfq2+xv7fPvW/Cz8hPze/TT9iP3e/jr+mv75/1X/sAAQAHEA0QExAZEB9AJYAroDGQN2A9EEKQSCBN4FQAWoBhAGdgbZBzcHkAfgCCcIZgieCNAI+wklCVMJhwm+CfUKJgpQCnYKmwrACuULCgsvC1ULgAusC9QL9gwSDC4MTAxqDIcMoAy3DM4M5Qz6DQ0NIQ06DVcNcQ2FDZINmw2gDZsNjg2FDZYNzA4eDmgOgg5bDfkNfQ0JDLwMnwysDMwM6AzvDOEMxgyrDJcMjAyGDIQMhwySDKcMxAzmDQYNJg1HDWwNkg22DdgN/Q4rDmEOmg7LDu0PAg8QDyAPNA9JD1gPXw9fD1wPWw9eD2cPdw+LD58Prg+5D8gP4hAPEEoQixDHEPQRCxEIEPAQ0hDEENYRBhE6EVgRXBFbEXcRvRIeEnwSvxLlEwATHxNFE2gTgxOZE7kT8hROFMUVQxWoFdcVvxVoFO4UdxQbE9sTrhOFE1UTGRLREoQSRBIeEgwR9hHHEYARMRDsELIQeBA5D9YPkQ9SDxYO3Q6oDnkOVw5BDi4OCw3KDWwNAQydDEYL+AuvC3ALQQscCvoK2QrCCroKvAq7CrMKqgqsCrwK1AruCwgLIgs6C1ILbguTC8EL8wwlDFUMgQyjDLYMuQywDJ8MjAx8DHEMaAxcDEgMMAwZDAYL8AvPC6QLdgtNCywLDgryCtoKyQq/CrsKtwquCp4Kigp6CngKhQqfCsAK3wr5CwsLEwsQCv4K2gqlCmgKLQn5CcYJjAlKCQkIzwigCHwIZQhUCD4IGwfuB8UHpQeBB0YG8AaVBkgGBwXCBXIFKgT/BPkFDgUzBWkFsQYCBk8GkAbHBvQHEQcYBxEHBgb4BuMGyAa2BrUGvAa4BqgGpgbKBw0HSAdiB2cHeQejB8wHzQeaB0wHCAbkBtkG2AbRBsIGqwaQBm0GQAYFBcEFewU1BOgEiQQbA6kDPwLdAnkCDQGeATgA3QCGACX/tf88/sX+VP3n/Xf9BPyU/C771/uG+y/6zPpk+gz50/nD+dT59voV+ij6QfqK+yX8DP0L/d7+Xf6Z/r3+6v8d/zz/Nv8U/vL+4/7l/ur+6/7s/u3+3f6j/jz9yv2F/Yj9uf3V/aT9IPxw+8z7V/sW+vr67Prh+tv64Prx+vz66vqy+mD6Bvmq+Un45fiN+E/4Jff998b3ifdb90b3Pvcr9wD2xfaQ9nD2ZvZk9ln2QvYj9g32DfYj9kH2UPZD9h716fWn9U300fQ986zzL/Kt8fHw3++a7nzt0+2s7dXuFu5R7ofuve7s7xHvL+9I71DvOO8A7rvuee427eftj+1C7RntIO1k7f7u+/A98XPyUvLZ803z+fTg9b/2UvaQ9qX2ufbR9tj2wPaU9mH2KvXp9Z/1V/Ud9PX01vS99Kn0mvSM9Hf0X/RM9Ej0TfRN9Dv0HPP/8+rz0fOk82HzGvLh8rzynvJ38kfyF/Hz8d7x1/Hb8ejx+PIC8f3x6vHO8a/xl/GI8YXxivGN8Yjxe/Fs8V3xTPE58SXxFPEJ8QXxBfEH8QfxAPD18PPxD/FN8Z3x5PIR8inyQPJm8pnyz/MA8yTzNvM58z7zV/OI87/z4/Pt8+/z+vQR9B/0DvPN80/yjvGb8Kjv7u+L72zvbO9174zvue/08C3wY/Co8Qvxg/H/8nzzBfOj9Ej02fVJ9af2BfZr9sr3FfdH92H3Z/dX9z33LvdD94H32/g5+JL45/k/+Zn58fpL+rX7NvvD/EP8pfzv/TL9eP3A/gb+Tv6k/wb/av/GABcAZwC8ARUBbQHDAhsCdgLVAzYDmAP7BFsEswUCBUkFjwXWBiIGbQa0BvQHLwdsB60H8gg7CIYI1QkkCWwJrAnqCi4KdwrBCwULQwt3C5kLpQuoC7sL7AwsDFsMaQxiDFIMLAvOCy4KeAn9CfsKZwr+C3gLvAvaC/UMHgxZDKEM9Q1MDZsN2A4EDi0OVg55DpAOow6/DuYPCA8cDzQPaA+/EBwQYhCOEKwQshB1D9oO/Q4cDT4MHwp/CJIHBgaLBzUIegmhClMKrQruCy4LVgtXCzsLFQrnCq0KbQo0CgcJ3QmoCWcJIwjkCKwIfAhVCDYIFwfnB6AHRwbvBqsGiQaFBosGfQZHBfIFlwVRBSQFCATxBNwExQSmBHoERwQZA/oD4gPIA6QDewNXAz4DLAMZAv0C1gKsAoYCaQJPAjACBgHVAaIBbwE6AQQAzwCcAGcAMf/7/8r/n/91/0v/If76/tX+sP6K/mL+QP4m/hX+Bf3v/c/9o/10/Uf9Jv0P/QH8+Pzv/OP81PzH/ML8x/zS/Nz83/zd/Nj80vzG/LP8nfyL/IL8gfx9/HD8XfxY/HL8pfzR/Nn8v/yh/Jz8qfyv/J/8j/yZ/MD85/zt/NT8tPyi/J/8nfyU/Ir8h/yI/Ij8gvx6/Hf8fPyK/Jn8n/yX/Ib8efx6/If8lvye/KH8ovyj/KD8m/yX/JT8i/x1/Fn8S/xb/IL8p/yx/J78gPxv/HD8fPyH/I78k/yX/Jj8k/yJ/IH8ffx7/Hj8dfx0/Hf8evx6/Hj8dvxz/G38ZPxc/Fz8Zfxw/HX8c/xu/Gr8aPxo/Gz8dPx8/H/8fvx8/IH8jPyb/KP8n/yQ/Hn8XvxC/Cr8FvwG+/X74fvL+7P7nfuG+2z7T/sy+xj7Avrw+t36y/q++rb6svqv+qr6pvqj+qT6pvqn+qr6rPqq+qL6kvp/+m76XfpL+jP6GPn9+eX5zfmy+ZT5dvlZ+Tv5F/ju+MP4m/h2+FP4MfgU9/v34ffB95j3aPc59wz24/a89pn2dvZT9jD2EPX09dz1w/Wq9ZL1ffVq9Vj1SPU59Sr1G/UK9Pn06vTa9Mb0rPSO9G/0TvQu9A/z8vPW87nzmPNz80/zLvMS8vjy3vLA8qDyg/Js8lnyRfIp8gnx6vHO8bXxnfGC8WTxQ/Ef8P3w4fDM8LrwpPCN8HrwbPBg8FHwQfA08CnwHvAO7/zv7+/n7+Dv1+/P78nvw++576zvoe+e75/vnu+c75nvmO+V747viu+P753vq++y77Hvr++y77nvw+/P79zv5+/t7+/v9fAK8DHwZfCY8MHw1/Dg8OTw7vEJ8UHxpPIs8rvzHvMr8uXyffIt8g/yFfIm8jfyUfJ+8rjy8vMk81Tzh/O58+T0B/Qu9F/0lvTH9Ov1BvUf9T31YvWJ9a31x/XW9d716fX89hL2JfYw9jv2T/Zr9on2ofay9rr2s/aR9lP2EfXu9gH2PfZ79pf2h/Zg9j32LfYs9i/2LvYo9h72D/X+9ev12vXK9bn1ofV99Un1C/TY9Mv08vU/9Yn1qvWZ9Wv1PfUg9Q/1BPT59PT09/UF9Rr1NfVP9WT1bvVv9Wr1YfVW9U/1TvVU9Vj1WPVT9VH1U/VS9Un1NfUb9P303fTA9K70rfS99Nb08vUQ9Sz1Q/VO9Ur1PfUt9R71D/UE9QL1B/UK9QL06vTF9Jb0YPQn8/Hzw/Od83jzTfMa8uDyofJl8jbyE/Hw8bzxdPEo8OrwtvB08BPvpe9S7zPvPu9Q70rvKO7s7pXuIO2Y7RTsrOxl7DTsDOvu69vr1evW69vr4evp6+/r9ev97A7sJOw97Ffsduyi7NftDO067WXtk+3D7e7uEO4v7lXuge6s7tPu/+8373bvqu/H79Tv5/AL8DbwWPBw8IbwpPDH8OTw+fEN8SXxPPFJ8UvxSfFM8VbxZfF48ZDxrPHG8d7x9vIS8jXyWfJ88qDyy/L98zTzbvOp8+T0HfRV9JD00PUS9VH1jvXN9hD2WPaf9uX3K/d097/4DPhf+Ln5GPl3+dP6MPqP+vD7T/uo/AD8WPyy/Qn9Yf27/hr+ev7Z/zT/kP/vAFAArwENAWoByQIqAo0C8QNRA6oEAARXBLgFIQWOBfUGVgaxBwkHXAemB+gIIAhQCHwIpwjXCQsJQgl3CakJ1woBCicKSwpuCpIKtgrdCwYLMAtaC38Lnwu7C9gL9gwUDDAMSwxlDIAMmgyvDMEM0gzmDP4NGA0yDUkNVg1RDTcNGg0eDV0Nzg4+Dm8ORg3ZDVkM8gyvDIoMfQyCDJMMoQyeDIwMdAxgDFQMSwxEDEQMTwxlDIEMoAzBDOcNEQ05DV0NfA2aDb0N5Q4QDjoOXg5+DpkOsg7LDuYPAA8YDyoPMQ8vDykPJQ8pDzYPSw9kD4EPoQ/DD+cQERBJEJEQ3xEfEUIRRhEyERMQ9RDgEOIQ/xEvEV8RfxGXEbgR8hJDEpwS7BMoE1ETbROME7sT/BRCFH8UrxTeFRkVWRWHFYcVTRTpFHQUCxO4E38TVxM3ExMS4hKdEk8SBxHVEbMRkxFkESgQ7BC5EIsQWBAaD5cPVA8WDtoOnw5kDiwN/g3dDcMNnw1eDQAMlgw2C+kLpwtpCzILBgrmCsoKrwqcCpgKmwqcCpUKjQqPCp0KsQrJCuIK/AsTCyMLMwtLC28LnwvUDAkMOgxkDIIMkgyVDIsMeAxiDE4MPwwwDCAMEAwEC/cL4wvBC5ULaQtECygLEgsDCvkK8grrCuUK4ArbCtIKvwqlCowKfQp9Co0KpQq5CsAKugqsCpgKeQpKChAJ1gmmCXoJSAkOCNUIpwiHCHIIZghhCFsISggwCBgICwgBB+YHsAdqByEG2QaLBjYF6AWtBYcFcQVvBYcFtwXuBh0GPQZZBnMGiQaWBqAGqwaxBqwGowalBrQGvwa0Bp8GowbNBwQHHAcQBwkHMweGB80H1AeZB0AG8ga9Bp8GjwaDBnEGUgYsBgYF4wW5BX4FMwTlBJQEOgPQA2AC+AKeAkgB6wGJASoA1gCEACn/wf9R/t/+b/38/Yj9FPyk/Dz72vt7+xv6uPpV+f75v/mk+bH51vn5+gX6B/or+qD7bPxg/TX9xf4b/mD+p/7n/wn/Bv7v/tj+x/6z/pn+g/6B/pL+n/6K/kb96v2i/Yv9n/2z/Z39SPzA/CL7jfsZ+s36p/qa+p76rfrA+sn6vPqS+k759/mS+SP4t/hi+C34C/fj96r3cPdP90r3TPc49wf2yfaY9nz2b/Zg9kj2KfYN9gL2EPYy9lj2bPZg9jX19/Wp9UT0xvRA887zc/MH8k3xJ+/C7nztqO1Y7WTtl+3T7hHuT+6F7rLu2+8F7yXvKO8H7snufu4z7eztq+1w7UHtK+1K7b3ukO+e8KTxcvIR8rjzlfSi9az2e/b29yP3HPb49s72rPaV9n72WfYk9eT1ofVd9Rj02fSs9Jj0kvSL9Hj0XvRK9ET0Q/Q69CP0C/QA9ALz/vPi86rza/M68xvzAfLa8qfycvJK8jHyIvIW8g/yDvIR8g/yAvHn8cbxqPGZ8ZjxnvGh8aDxn/Ge8ZvxkfGA8WzxWPFC8SnxE/EL8RTxI/Er8SrxNPFb8Zzx4fIR8izyQ/Jo8qDy4fMe80zzZPNq827zgvOs89vz9fP68/30EvQq9CLz2vNR8prxyvD08DPvqO9j71bvX+9r73/vpu/d8BfwUfCa8P7xdfHq8lnyzvNb8/n0k/UY9Yz1/vZv9tL3GvdE91f3W/dR90P3QPdb95v39PhT+K/5Cfll+b/6FPpo+sr7QfvG/EP8qfz9/Un9lv3g/iX+b/7F/yn/jf/oADoAiQDcATABggHUAikCgwLgA0EDpAQFBGMEvgUXBWoFtQX3BjcGfQbIBw4HSgd/B7oIAAhPCJ8I7Qk0CXYJtAn1Cj4KjArWCxYLTAt3C5QLpAu0C9YMDQxEDF4MWQxGDDAMAwuhCwgKbgoZCiwKjQsDC2ALngvQDAoMUAyfDPMNRg2VDdcOCg4zDlcOdw6QDp8Org7KDu8PEg8qD0YPfw/XEDUQeBCcELEQtRCFEAIPPQ5nDY0MdQreCO4HSAafByUIYAmXCl0Kvwr7CzELVQtUCzULCwrdCqkKbwo6Cg8J5gm0CXkJOwj9CLsIdgg3CAYH4Qe5B4IHPwb6BsQGoQaQBoUGbgY9BfYFqwVuBUQFKAUQBPcE1wSuBHwESwQkBAwD9wPcA7gDkgNzA1sDRgMuAw4C5QK2AoYCXgI9Ah4B+gHOAaABcwFKASEA9gDEAIsAUQAZ/+j/vP+Q/2L/Nf8N/ur+zP6t/o3+bf5P/jb+IP4J/en9vv2N/WH9QP0r/Rz9D/0D/Pf87Pzj/OD85Pzr/O/87Pzm/OH84Pzd/NT8w/yx/Kb8o/yf/JH8ePxk/Gb8fvyZ/KX8o/yj/K78uPyx/J/8ovzQ/Rj9Tf1N/R785vzD/Lf8s/yq/J/8mfyZ/Jn8lfyN/If8jvyk/L/8zfzE/K38mvyY/KD8pfyj/KL8qPyy/Lb8tPyz/Lf8t/yo/I/8fPx//JT8qPys/KH8lfyU/J78qvyy/Lj8v/zH/Mz8yPy//Lj8tPyx/Kz8pvyk/Kj8rPyq/KX8ofyh/KH8nfyX/JP8lvye/KP8pvym/Kb8o/yc/JX8kvyW/J38oPye/Jj8lvyb/KP8p/yh/JD8d/xd/EX8Mvwh/A/7+vvk+877ufuj+4n7bftR+zj7JfsU+wH67/rg+tj60vrK+r/6tfqy+rT6uPq6+rr6uvq4+rL6o/qP+nv6a/pa+kT6KvoR+fz56fnT+bn5nvmE+Wr5Sfkh+Pb4zfim+IH4XPg7+B33//fb96/3f/dO9x728PbH9qT2hvZo9kn2LfYV9gL17/Xc9cr1ufWo9ZX1gfVt9Vn1Q/Ur9RX1A/Tx9Nn0u/Sa9Hn0WfQ59Brz/vPl88vzrPOK82nzTfMz8xny/PLd8sDypvKO8nfyXPI98hnx9PHU8bnxofGI8WrxRfEd8Prw4PDO8L3wqPCP8HrwavBa8EjwNPAk8BrwEPAC7/Lv5e/d79jv0e/G77nvq++g75nvl++W75Pvje+I74fvie+J74bvhO+I75Hvm++f757vmu+Z757vqu+7783v2+/h7+Pv6O/18BDwOPBn8I/wqPC38MXw2vD18R7xZfHY8mzy7/Mo8wPyovJD8g7yBfIP8hryLPJQ8oXywvL68y3zYPOV88fz8/Qb9Ef0efSv9N70//UU9Sf1Q/Vs9Zr1wfXY9eP16fX09gP2E/Yj9jb2TvZp9oP2lvam9rf2x/bL9rf2jvZi9kv2VPZx9or2i/Z29lz2SvZE9kf2T/ZX9lz2V/ZI9jb2J/Yc9gv17PW39XL1KvT19Of1CfVI9YH1lPV89U71J/UR9QX09/Tk9M/0xfTN9On1FPU+9Vf1W/VP9UD1NPUu9Sz1LvUz9TP1LfUg9RX1DvUI9P707vTc9Mf0svSe9JT0nfS29Nb09PUM9Rz1IfUZ9Qf09/Tu9Ov06fTn9On08PT29PH03fS+9Jr0dPRM9Cb0AvPe87XzgvNE8wDyvPKD8lryPvIa8djxefET8L/wfvA479zveO8x7xzvKO8y7yXvBu7f7qnuVO3d7Vfs4OyI7EzsIOwA6+vr3+vY69Xr1uvb6+Lr6uvy6/7sEewo7ELsYOyH7LTs5e0X7Ujteu2r7dbt++4c7j7uYu6F7qru0O757yHvRe9l74rvtu/j8AjwIvA68FnwfvCe8LLwv/DQ8Ofw/vEL8Q7xEPEX8SLxL/FA8VjxePGa8brx2vH78h/yQfJi8oTyrfLc8w7zQfN487Pz7/Qr9Gf0pvTn9SX1YPWb9d32JPZt9rP2+Pc/94v33Pgy+I347PlM+av6B/ph+rv7Fftw+8z8KPyE/N/9PP2d/f7+XP62/xD/bv/QADIAkQDtAUcBoQH/AmMCygMuA4sD4QQ7BJ8FCwV0BdQGKwaABtIHHwdjB54H0Af9CCgIVQiICL8I9QkoCVcJhAmwCdcJ+gocCkEKaQqTCrwK4wsJCyoLSAtkC4ALngu9C9oL9QwQDCwMSAxiDHsMkgyoDL8M1gzvDQgNFw0NDOcMwQzLDSANqg4cDiwN0Q1CDM0MlwyODIwMgwx4DHcMeAxuDFcMPgwuDCIMFQwJDAkMHAw8DF4MfgyfDMkM+Q0lDUYNYA19DaENyQ3tDgoOIw4+Dl0OgA6jDr8O0g7bDt8O4w7oDvAO+A8ADwkPFg8sD1IPiA/HEAUQQRCCEM4RGxFTEWQRVRE8ESkRHxEVEQsRChEXES4RSBFkEY8R1RI3EqwTIROCE7sT0xPoFB0UehThFSQVMBUeFQ4VEBUPFPQUthRjFAwTvRN5E0ITGhL8EtsSqRJjEhMRyRGQEWYRQBEWEOgQuxCOEFwQIQ/dD0YPDg7ZDqMOag4tDe0NrQ12DUcNFwzZDIcMLgveC50LZAsuCvsK0wq1CpwKhQp2CnMKdwp2Cm4KZgpoCncKjgqpCscK4wr4CwILBwsRCysLVguLC8IL9AweDEAMWwxuDHUMbwxhDFQMSwxEDDgMJgwRC/kL2QuzC4wLaQtMCzULJAscCxwLHwsbCxELBwsCCv0K7wrRCqgKfwplCmMKcwqFCogKdwpaCjsKFwnmCasJdAlKCSsJCQjiCLwIoAiMCH4IdQhyCHAIZghQCDoILggqCB0H/AfJB44HTgcIBr8GfAZDBhEF5QXIBcUF1gXsBfYF9wX6BgQGEQYgBjQGTAZhBmwGewaaBsIG1QbCBqUGqgbXBwIG/wbaBtUHGgeOB+MH5AebBzsG5gajBm0GQgYhBf8F1QWrBY0FfQViBSgE0wR5BCcD1ANxAwMCnwJSAhEBywF6ASgA2gCMADj/3P99/xz+s/48/b39QvzP/GP7+PuL+yP6xPpv+iL54vm5+bH5xfnd+eH51Pnd+ir6x/uR/FL87f1v/e/+aP6//t3+0P64/qz+pf6R/mn+PP4k/ir+Qv5Q/j7+CP3D/Yr9b/1w/XX9Yv0h/Kn8B/tZ+sX6afpJ+lf6ePqU+p/6lfp0+jv55vl4+P34i/g4+An36/fE94/3XvdH90z3U/dA9xH22fau9pX2g/Zp9kj2J/YN9gH2CfYk9kr2Z/Zp9kj2CvWw9T/0vvRJ8/fzvvNm8qfxau/k7n3tiO0a7Q/tNu1w7bLt9e4w7l3uhO6r7tDu5+7j7rzufO4x7e7tue2L7WDtP+1I7ZfuNO8A79DwivE48fXy3vP89T/2e/du99/3w/dN9tL2kPaG9of2cvZF9hP15vWx9Wz1IvTo9Mz0w/S39KH0hPRs9Fn0QvQl9Anz+vP99Aj0CfPy88vzovOC82jzRvMY8uPytPKR8nfyXvJE8izyH/Ic8h3yGPIH8e/x2/HO8cfxwPG48bfxwvHU8eDx3PHL8bXxnvF+8VXxK/EV8SDxP/Fb8WbxafF78abx3vIM8i3yTPJ78rny+/M0813zevON853zsfPM8+Tz6/Pm8+bz9fP688LzM/Ji8YPwwfAo77Tvae9K71HvZe9z74Lvo+/Z8BrwXvCr8QrxdvHi8kfytvM+89/0g/UX9Zb2C/Z59tf3Fvcy9zX3Lfco9y33Qvdr9634Afhg+MH5Ifl++db6Kfp6+tb7RPu9/DL8mfz1/U/9qP39/kr+mP7x/1b/vwAgAHgAygEYAWIBqQHyAkAClQLwA1ADsAQPBGwEywUtBYsF1wYSBksGkwbnBzUHbweeB9QIHAhwCMAJBQlBCXsJuQn/Ck8KogrtCycLUQtwC4oLoQu/C+oMGQw6DEAMNAwoDBcL4QtuCtYKWwo0CmcKxQsdC2MLpAvzDE4MqQz5DT8Nfg24DewOGw5FDmoOiQ6fDq0Ouw7QDu4PDQ8rD1MPlA/xEE8QjRCmEKsQqBCHECcPgg65DdwMxgs9CVcHoAbJBxwIPwmDCmkK4QseC0cLXQtUCzQLDwrrCr4KhQpMChsJ8QnDCY0JUgkWCNMIiAg+B/8HzAeeB28HPgcPBuMGuwaWBnMGUAYmBfMFvgWSBXAFVAU2BRIE5gSzBIAEVAQ3BCMEDQPsA8QDoAOEA2wDUgMzAxEC6wK9AooCWQIvAg0B6gHCAZkBdQFXAToBFgDlAKoAbQA1AAT/1/+p/3j/R/8d/vv+4/7O/rj+nf57/ln+PP4j/gb93/2w/YT9ZP1O/Tz9KP0U/QX8/vz+/QL9Bv0I/QX8//z5/Pf8+Pz6/Pj88Pzh/M/8wPy1/K78p/yi/KL8qPyy/Lj8vPzD/Mr8xfy0/Kf8vv0C/Vb9iP17/T/8//za/NL80/zN/MH8t/y3/Lz8u/yu/J78m/yy/NP85vza/Lz8pvyp/Lf8vfy3/LD8tfzB/Mv8zfzO/NL80/zK/Lz8tvzC/Nb84PzZ/Mn8wPzF/NP83vzj/OT86fzy/Pn8+vz0/O786vzm/N/82PzW/Nr83vzc/NX80PzQ/NT81PzP/Mv8zfzS/Nf82fza/Nr81/zO/MD8tfy0/Lz8xvzI/L/8s/yu/LP8u/y5/Kj8j/x2/GD8Tfw5/CP8Dfv5++X70fu7+6T7i/t1+2H7Ufs/+yr7FfsF+vz69frq+tv6zPrF+sb6yPrH+sT6wfq/+rr6sPqg+pD6g/p0+mD6R/ou+hv6Cvn3+d/5xfmr+ZD5b/lH+Rr47/jI+KH4e/hX+DT4Effo97v3i/df9zX3D/bt9tP2vfan9o/2dvZh9k72O/Yl9hH1/fXp9dD1tvWc9YL1Z/VJ9Sz1FPT/9OX0xfSj9IT0afRM9C/0FPP88+PzxPOh84DzZvNO8zTzGPL68t7ywvKj8oPyY/JC8iDx/fHc8b/xp/GN8WzxRvEf8P7w5fDS8L3wpfCL8HXwY/BS8D7wKPAV8Ajv/u/07+jv3e/V78/vxu+476bvlO+J74bviu+M74fvfe9073Hvcu9173jvfe+B74Pvgu+A74DvgO+B74nvmO+t77/vye/L783v0e/b7+vwCPAu8FbwdfCN8KXwwvDd8PfxI/F/8g/yqvMP8xTyx/Jh8hfx/PH/8gzyG/Iz8lzykvLL8wLzNfNq86Hz0/P+9Cb0VPSL9MP06vT99Qj1H/VL9YX1uvXd9e719PX29fv2B/Ya9jX2U/Zw9oX2kvaa9qn2x/bu9wn3AfbV9p/2fPZ49ob2jvaE9m72WvZT9lv2cPaK9p/2o/aW9oT2d/Zw9mH2PPX99a71YvUt9Rz1MPVW9XT1c/VV9S31EfUG9QD09fTf9Mf0uPS+9Nv1B/Uu9UD1OfUn9Rf1EPUN9Qv1C/UN9Q71BvT19N/0yPS09KL0kvSJ9IP0f/R89IL0l/S49Nn08/T/9P/09PTe9Mf0uvS79MX0zfTQ9NP01/TX9M70uvSj9I/0fvRr9FT0NvQR8+LzqfNm8yDy3fKl8nvyVfId8cTxUPDe8IrwT/AQ77fvU+8I7uzu8+757uvu1O6/7qfuc+4V7ZrtH+y67HDsPOwY6//r7uvf69PrzevP69br3evi6+nr9uwN7CvsTexx7Jjsw+z07SjtXO2N7brt5O4M7i/uS+5j7n7uoO7I7vDvF+8/72jvke+z783v5/AI8DHwWPBz8IHwjPCd8LPwxPDL8Mvwz/Da8Ofw9vEI8STxSvFz8Znxu/He8gDyH/I+8mDyi/K68unzF/NJ84PzwvQC9ED0ffS69PX1LfVl9aT17PY49oP2zPcV92T3t/gO+Gf4xPkj+YH52/ox+ob63vs8+537/fxZ/LX9Fv17/d3+Nv6L/uP/RP+sABEAcgDOASgBgAHbAjwCowMJA2kDwwQgBIYE8AVSBagF9wZGBpQG2wcWB0cHdQejB9IIBAg6CHEIpgjWCQQJMQleCYUJqAnKCfIKHwpLCnMKlgq3CtcK9AsQCywLSgtpC4YLoQu8C9gL9gwVDDMMUgxwDIsMnwyvDMEMzgzJDKoMggx/DMENMg2IDX8NFwyYDFIMWgyDDJYMhgxtDGIMXwxTDDoMHwwODAEL7wveC94L9QwaDD0MXAx/DKwM3Q0HDSYNQg1jDYgNqA3BDdYN8A4RDjcOXA57Do8Olg6SDo0Ojw6fDrcOzg7hDvAPAQ8bD0YPgQ/HEA4QUhCaEOgRMRFgEWgRVxFHEUgRUxFTET0RGRDzENQQxhDUEQwRcBH4EpMTLBOnE/EUDRQgFFkUvhUnFVsVRxULFNcUuhSgFHIULxPoE6gTbBMwEvkSzxKyEpESXRIVEccRfxFFERYQ7hDJEKYQgBBQEBQPzQ+GDvkOzg6iDnAOOA35DbINYg0QDMgMiwxTDBUL1AuWC2ELMAr/CtAKqgqNCnUKYgpXClYKWQpVCkoKPwpBClEKbAqNCrAKzwrhCuYK5ArnCvsLIQtVC40LvgvlDAYMJgxFDFwMZQxlDGgMcwx8DHcMXQw1DAYL1gupC4QLagtYC0cLOQsyCzYLPgs9CzILIgsYCxELBAroCrwKiQphClEKWAplCmMKSAofCfIJxAmTCV4JLwkPCPoI5gjPCLkIqgicCI0Ifgh3CHMIaAhUCD8IMwguCCEIAgfSB50HZgctBvUGxAabBnMGSgYnBhEGBgX7BesF3AXUBdQF1wXhBfcGGAY1BksGawakBuEG+gbgBroGvAbqBw0G+gbJBsgHHgecB+oH2geGByYG1waRBkgGBAXJBZYFYwU6BSkFJwUTBNMEcgQQA78DcwMWAq0CUgIUAecBtAFyASoA5ACdAFAAAf+0/2T/Av6H/f39dvz+/I38Gfui+zH60/qK+kz6FPnl+cr5xfnH+b35pPmZ+cH6Kfq6+1X78PyZ/VP+Av53/pz+if5u/mn+cf5u/lD+IP31/eD96f4E/hf+Cf3T/Yr9UP06/Ub9Wf1N/QL8bfuj+tf6QvoF+hT6RPpr+nn6cPpX+ib50/lf+Nz4Z/gX9+v3zvep93v3VfdH90/3VPdC9xj26vbH9q/2lfZw9kb2IfYG9fP17fX69hz2Q/ZX9kf2DfWt9S/0qvQ+9APz5POd8t/xk+/27nbtauzq7NPs8+0r7W3ts+3y7iHuQO5Z7nPuju6d7pLuZ+4n7ejttO2H7VrtM+0p7VPts+447s/vdPAo8O/x2vME9IX2Ove6+Ir4evfS9x/2xfbA9sr2rfZz9kT2LvYY9ej1ofVe9TT1HvUO9Pv06PTR9K70efQ+9BX0B/QM9A7z/vPk883zv/Oy85jza/M08wPy4PLF8qryivJo8k/yRPJB8j/yN/Io8hryFfIS8grx+fHo8eTx9PIL8hbyCvHs8crxq/GL8WfxQ/Ew8TrxXfGC8ZnxofGt8czx+PIh8kHyZPKW8tfzE/M+81zze/Od87rzzvPa8+Hz3vPR87/zqvN58wTyOvFC8GHvyO9370/vOe8370zvau+A75Dvru/m8DLwgvDQ8SXxhfHv8l/y3PNv9Bb0vvVU9dD2PPae9vL3Kvc69yv3EvcK9xv3Q/d597n4Cfhn+Mz5LvmI+dz6L/qF+ub7UvvE/DP8mfz4/Vj9uv4Z/m/+wv8d/4T/9ABgAMEBFgFeAZ8B3QIdAmECrAMAA10DwQQkBIcE6wVTBbEF+gYwBmgGtgcUB2cHngfHB/wIRwibCOIJGglMCYUJxwoSCmYKvQsJCz8LXgtyC4YLogvHC+8MDQwXDBIMDwwUDAkLwgs2CpcKNgo9CpMK+AtEC4ELywwsDJUM7Q0vDWMNkw3DDfIOHw5IDmwOjA6mDrsOyg7YDuwPBw8qD1oPoQ/8EFgQlBCmEKEQmxCJEEQPtw7yDhENBgujCeUIMQcqBzYIKgluCnMLCgtRC3ELeQtpC0kLKgsMCuMKqgpqCjIKBAnUCZsJXwkkCOoIrQhtCCwH7we1B34HUAcpBwQG2AamBnUGSAYhBfwF2gW8BaAFgQVYBScE8QS4BIQEXARDBDMEHAP4A84DqgOPA3cDWAMzAwwC5gK7AokCVQIoAgMB4AG8AZkBfAFlAU0BKwD7AMEAhQBOAB3/7//A/5D/Yf83/xb+//7v/t/+yf6p/ob+Zv5N/jH+DP3d/bH9kP16/WT9Sf0s/Rf9EP0V/SD9KP0m/R/9F/0T/RL9Ef0P/Q79Df0J/Pr85/zZ/Nj83/zl/OL83Pzb/OX88/z//P787vzW/Mv85P0f/WD9f/1r/Tb9Bfzx/Pf9Av0B/PP85vzo/PT89/zh/L38pPyt/Mv83fzQ/LD8n/yr/Mb81fzQ/Mj8yfzT/Nr82vzb/N783vzZ/Nf85f0C/R79Jv0W/P387vzy/QH9D/0T/RD9D/0V/R79JP0j/SD9Hv0b/RX9Dv0L/Q39E/0T/Q39B/0F/Qb9BP0B/QD9BP0L/Q79Df0K/Qj9Bv0A/PT85/zi/Of87/zx/OX81fzO/NX84fzi/ND8s/yX/IL8bvxW/Dr8IvwQ/AD77fvX+8H7rPua+4n7eftn+1H7Ofsn+xv7EvsI+vr66/rg+tz62vrW+tD6yvrF+sD6uPqv+qb6n/qV+oX6bvpV+kD6Lvoa+f/54PnB+aP5gPlW+Sr5APjc+Lj4lPhw+E74LPgH9973tPeP9273Ufc49yX3E/b/9un20fa69qP2h/Zp9kz2MvYY9fn12fW79aD1g/Vi9UL1JvUO9PP00vSx9JX0fvRl9En0LfQT8/nz1/Ox847zcvNb80TzKvMP8vLy0PKp8oLyYPJD8ifyCPHp8czxsfGT8XHxS/Eo8Qvw8/Dc8MLwpfCJ8HHwX/BN8DjwIPAJ7/fv6u/h79jv0O/I77/vtO+l75Pvg+9573fveu9673Tvau9h71rvV+9X717vae9y73Hvae9i72DvYu9n73Dvgu+Y76nvr++u77Dvte+778Xv2e/88CXwSfBk8H7wmPCs8Lfw0PEX8Z7yRvLP8wLy1vJ28h3x8fHx8gbyGvIr8kTyb/Kp8uTzGvNN84Hzs/Pf9Ab0NPRs9Kb0z/Ti9Oz1BfU39Xf1tPXg9fj2APX/9fz2AvYV9jL2VPZz9oj2kPaP9pX2t/b19zX3UPc09vX2uvaf9p72oPaU9nv2ZfZb9mX2gfan9sn22PbU9sn2xPbE9rn2j/ZG9e71nvVm9U71UPVe9WH1T/Us9Qv0+fT29PX07fTe9M/0xvTM9OL0//UW9Rn1CvT59PP09fT39PP07vTv9PX09fTn9M70r/SP9HP0YPRY9Fn0YfRt9H/0nPS+9Nv07PTu9OX00/S79Kb0nfSj9LH0vvTE9Mb0xfS/9K70mPSE9Hr0d/Rz9Gf0T/Qs8/3zxfOF80LzAfLG8o/yVPIE8ZjxH/C28HHwRfAM767vO+7b7qzup+6t7qruou6e7pjue+427c/tXezz7J3sW+wt7A/r+uvm69TrxuvB68TryOvM69Hr3Ovw7A/sM+xZ7H3spOzR7QXtO+1t7Z3tze377iLuPO5N7l3udu6X7r7u5+8R7zrvXu9875jvue/g8AjwKPA98EvwXPBx8ITwjvCO8Ivwj/Cd8K7wwvDZ8PnxIPFK8XDxk/G28djx+PIY8jvyZ/KX8sTy7fMa81LzlPPX9Bb0UfSL9MT0+vUw9W71tvYE9lP2oPbt9z33kvfr+EP4nvj6+Vf5sfoG+lr6s/sT+3b71fwu/Ij86f1P/bH+CP5a/rL/F/+C/+sATQCtAQkBYwG7AhgCewLfAz4DmgP4BF4ExAUhBXEFvQYLBlYGlQbGBu8HGgdLB4AHtwfuCCQIVwiGCLMI4QkNCTQJVwl8CaYJ1An/CiUKRQpkCoQKogq/CtsK+QsWCzILTQtpC4gLqgvJC+YMBQwoDEkMXgxnDG0MeQyADHIMTww6DFcMoQzfDNIMewwdDAEMLgxuDIcMdAxXDEwMTAxADCUMCQv4C+oL1wvGC8YL2wv8DBsMOQxfDI8MvgzkDQINJA1LDW4NhA2TDacNxw3tDg4OJQ42DkUOUA5VDlkOZA54DpMOrw7ODvUPJA9VD4EPqg/XEA4QThCWEOARIBFKEVoRXRFkEXMRfhFzEUoRCRC5EGgQMBAtEHAQ8BGSEjkS1hNYE7IT5xQRFFUUthUMFScVAhTFFJkUfxRcFBsTyhOCE0kTERLSEpYSaxJPEjAR/RG4EW0RJxDqELUQiRBnEEoQKA/3D7YPbQ8sDqwOhg5aDiUN6A2oDV4NBgyoDFMMEwvkC7oLjAtbCywLAQrWCqwKiQpuCloKTQpGCkYKRwpCCjcKLQouCjwKVgp3CpkKtQrCCsMKwQrGCtoK/QsuC2ILkQu1C9IL8wwXDDUMRgxPDGIMggyeDKAMgQxMDBAL1wumC4ILbgtlC1sLTwtFC0ULSgtKCz4LLQsdCxALAArmCr4KjwplCk4KSgpOCkMKIQnsCbUJgwlXCS4JDQj2COYI1gjGCLsIswipCJcIgwh1CGsIXAhICDgINAgxCB8H9Qe9B4QHUAceBvIG0Aa5BqQGiQZqBkwGMgYYBgIF9QXvBecF3AXbBfIGFgY0BkYGZQakBu4HDgbyBsQGwAbrBw4G/gbUBtoHMAegB9YHsQdaBwcGyQaLBj0F6QWeBV0FJAT8BO4E7QTWBJAEKgPJA30DNQLcAnkCKAH2AdQBqQFsASgA6ACnAGEAGv/X/5D/M/62/ib9mv0g/LD8O/vA+0r66fqh+mn6OPoL+eb5zPm4+Z35evlj+XD5qvoI+nv7CPu8/JH9Xv3v/iz+K/4X/g7+FP4a/hP9+P3O/aj9nP2z/dv97f3V/Zr9X/08/Tb9PP05/Q38nPvh+wD6Qfng+eD6Efo9+k36Sfo8+hz51Plf+NX4W/gI99j3tveQ92b3Rfc790P3R/c39xL26PbI9q32ivZa9iX1+PXa9cf1v/XI9eT2BPYS9fr1uvVY9N/0ZPQG89rzyfON8tbxi+/r7mXtU+zP7LLszOz67TPtc+2z7eTuAu4U7ibuQO5b7mTuTe4b7eLtr+1/7U3tHOz+7QHtJe1i7b7uQe7v77zwqvHd83n1Z/cw+D34Tvew9wf2w/bZ9vH20vaR9mb2ZPZo9kv2B/W69YH1YPVQ9U31UvVK9SH01fSA9ET0LvQp9Bz0AfPr8+jz8/Pz89XznPNd8yzzDPLx8tDyqvKK8nnyd/J38mzyU/I58ivyMPI+8kPyOfIp8iLyKPIx8izyEfHi8a7xgfFh8U/xSfFO8WHxgPGk8b/xzvHb8fbyHfJC8l3yd/Kj8uDzGvNB81zzffOk88Tz0vPX8+Dz6PPW857zQ/LE8hjxOvBN747vKu8V7yDvKe8x70rvb++Q76fvx/AD8FXwq/D48UXxovIY8qHzN/PV9Hj1FfWd9g32a/bC9xL3SvdZ90D3GvcH9xr3SPeC98H4D/hw+Nj5OvmQ+eH6OPqZ+wL7cPvh/E78sv0O/Wv9z/4z/pH+6v9H/7EAJgCYAPwBTQGRAc4CCwJIAoYCxwMSA20D1gRBBKgFDwV1BdEGGAZQBo0G4gdEB5YHywf0CC4IfAjJCQMJLgleCZ0J5go0CoYK2wsnC1sLcwt+C44LrAvRC+8L/Qv7C/cL/gwLC/ULlArxClEKBwowCp4LDwtjC6wMBwxwDNANFA1DDW0NnQ3QDgAOKw5QDnAOjw6vDswO3w7rDvYPDQ8wD2APoQ/0EEwQixCiEJ8QmRCOEFQPyQ73DgwNFgvwCnYI2weqB2cIHAlQCm4LIwt3C5ULmQuJC20LTwsxCwoK1AqXCl4KKwn1CbYJcwk3CQUI1wimCGwILAfpB6oHdgdOBykG/gbJBpMGYgY5BhcF+wXiBcYFoAVvBTkFAQTKBJUEagRNBDsEJwQFA9oDsgOVA3wDXAM1AwsC4AKzAoQCVAIqAgYB4gG+AZ4BhQFxAVkBNgEIANMAnQBoADYABf/V/6j/fv9Z/zn/IP8N/vv+5v7N/rD+lf57/lz+M/4D/df9t/2h/Yv9bv1O/TT9Kv0v/Tv9Q/1A/TX9K/0o/Sn9Jv0d/Rj9Gv0g/R79FP0L/Qz9Ev0P/P/87/zy/Qz9L/1D/UD9Kv0Q/QP9DP0o/Ub9Uv1D/Sb9EP0R/SP9NP02/Sj9Hv0n/UD9Tv03/QD8y/y2/L78yPy8/KX8nfyw/Mz82fzW/NL81vze/OH84fzk/Ov87fzq/Ov8/P0b/Tb9Pf0t/Rf9C/0R/SX9OP1C/UH9Pv1B/Ur9VP1Y/Vj9Wf1Z/Vb9Tv1H/Ub9Sv1N/Ur9Q/0+/Tv9OP03/Tn9Pv1F/Uf9RP1A/T79P/09/Tb9Kv0f/Rv9G/0W/Qf89fzt/Pj9C/0R/P/83vy//Kn8lvx9/GD8R/w3/Cr8F/wA++f70fu++6z7mfuF+3H7W/tG+zX7Kfsf+xX7Cvr/+vb68frs+uf64PrY+s76xPq8+rf6tPqv+qL6jfp1+l36R/ou+g/57PnJ+an5hvlf+Tf5Ffj5+N74v/id+H74ZPhK+Cv4Cvfq9833sfeW9333ZvdN9zL3Fvb79t32u/aX9nT2VvY59hf19fXV9bn1nPV79Vr1PfUj9Qb05PTB9KX0jvR29Fn0PPQi9Abz5PO985fzevNi80zzNPMa8vry0/Kn8oDyY/JM8jPyFvH28djxuvGa8XbxVPE18RvxAvDm8MjwqfCM8HLwW/BF8C/wF/AA7+vv2e/N78Xvve+076rvnu+R74Pvdu9t72jvZe9f71bvTu9J70PvPO847z3vS+9Y71rvUO9G70PvRe9L71TvZe9574jvju+Q75XvnO+i76jvue/Y8AHwJPA+8FPwZ/B08HjwhPC68S/x0fJt8sfyxfJ68h3x4fHa8fbyFfIo8jjyWvKT8tbzEvND83Dzm/PD8+v0G/RU9Iv0svTD9NH08vUt9XP1tPXk9f/2CfYF9gD2BPYV9jH2UfZw9oj2kvaO9ov2pvbp9z33dPdw9zz3APba9sr2vfam9oj2bvZj9mr2g/aq9tL27fb29vj2//cG9vr2yfZ39hb1v/WD9WT1WvVW9Uj1K/UH9O304vTj9OT04PTa9Nb01fTY9OL07/T29PH04/TZ9Nv05vTr9Oj05PTo9PT0/fT69On0zvSu9I70dfRn9Gb0b/R/9JX0sfTN9OL06/Tp9N30yvS09KH0nPSk9LP0v/TE9MT0wPS19KL0ivR59HH0cvRx9Gn0V/Q79Bfz5/Ou823zKfLk8p3yTvHw8YPxFfC98IfwYfAp78jvR+7M7nruV+5T7lnuYu5s7nHuYO4y7eftjO0t7NLsg+xG7B7sBOvv69nrxeu367Prtuu868Xr0Ovf6/fsGOw87GHsh+yy7OXtHe1U7Yftue3o7hDuLO4+7kzuXe517pHutO7b7wXvLe9S73bvnO+/79zv7+//8BDwJ/A98E7wVfBV8FTwWvBo8Hzwk/Cu8M7w8/EZ8T3xYPGG8a3x0fHz8hjyQvJw8pvywvLs8yHzYvOn8+n0JfRe9JX0zPUE9UL1iPXU9iL2bva79wz3ZPe/+Bv4dfjQ+Sv5hvnd+jL6i/rq+037q/wC/Fj8t/0c/X/92P4s/of+7f9Y/78AIQCCAOEBPQGVAfACUQK0AxIDagPGBCgEjATmBTQFfwXKBhEGSgZ0BpkGxQb5BzIHagegB9UICAg3CGUIkQi8COQJCQkvCVoJhgmuCdEJ8QoRCjEKUQpvCowKqgrGCuAK+gsZCz4LZAuDC5sLtAvXC/wMFwweDB4MJgw3DDkMIgwLDB8MZwyxDLwMeAweC/YMEgxGDF8MUww/DDkMOAwpDA0L9AvlC9oLygu7C7wLzAvkC/sMFwxBDHMMnwzADN4NBA0wDVANYA1rDYENpA3EDdUN2g3jDfgOFQ4vDkMOUw5jDnMOiA6wDvQPSg+XD8QP1Q/jEAQQOhB4EK8Q2xD/ESYRURF8EZURjhFjERwQxhBkEAEPuw+2EAMQjBEnEbYSNxKxEyATfRPOFCIUdhSuFK4UgxRVFD8UMxQNE8QTcRMuEvsSwBJ2Ei4R+xHdEb0RjBFLEQMQvhB9EEEQEA/tD9QPtg+KD08PEA7YDk0OHQ3mDacNYw0gDNoMiww3C+0LuQuZC3wLVgspCv0K1gqxCowKbgpbClEKSwpICkQKQQo9CjkKNgo4CkAKUApnCoAKkgqYCpgKnAqrCsQK5AsMCzcLYQuCC58LwAvlDAMMEwwfDDoMZgyNDJQMdQxBDAsL2guvC44LfAt3C3QLawtdC1MLTgtICz0LLgsdCwwK9grZCrUKjQpmCkoKPAo0CiEJ+Am+CYMJUQkrCQ4I+QjoCNcIxgi7CLkIuwi2CKYIkQh/CGwIUwg6CC0ILggtCBMH3QeZB1sHJwb6BtUGvAawBqcGmQaEBmsGUQY7Bi4GKwYoBhcF/QXzBgsGMwZHBkMGSgZ/BtAHAAbtBrgGoga9BuEG5wbeBvkHSQecB7EHewcnBuYGuQaHBj4F6QWZBVIFEgThBMgEuwScBFgD/QOqA2YDIALJAmsCIQH3AdgBrAFtASoA6gCrAGcAIf/f/5r/P/7H/j79uf1F/Nr8bPv2+4T7H/rO+o/6Wvor+f/51vmt+YL5V/k3+TL5TfmG+dj6Tvrx+7r8h/0v/Zf9v/28/aT9jP2C/Yj9jP17/Vz9S/1h/ZT9vv3F/a79kP11/Vr9Pv0n/Qv8xfwu+076bvng+cD54voH+hX6Gfoj+iH58/mK+P74e/gc9+D3sveD91P3MPck9yz3NPco9wP20Paf9nP2Q/YI9cn1lvV89Xr1h/Wb9af1nfVx9SP0xPRl9A3zwvOS84PzfvNC8ozxSe+37kLtQezG7KrsuezX7P/tNO1u7aHtwu3Y7e/uEe407kbuOe4S7eHtse2D7U7tFuzm7MnsvOy87NjtJu2w7m3vUPBq8dbzhPUY9hT2P/Xe9YD1ifXl9j32VfZE9kD2XPZ19mX2KPXd9Z/1dvVh9WP1dvWC9Wb1HPS/9Hn0VvRG9DT0IPQc9DD0SfRJ9CPz4fOb82TzO/MW8vDyyvKs8p3ymfKU8oHyXfI28iTyL/JO8mnyc/Js8mDyVfJH8jTyFvHn8abxXvEm8RLxIvFF8WzxkfG28dXx5vHx8gXyKfJO8mbyePKa8tPzEvND82fzjPOz88nzy/PQ8+30C/P184fy0/IG8Tvwce+07yfu6+757x7vNu9B71fvf++r787v8vAr8HnwzPEZ8Wjxz/JY8vrzoPQ79Mn1S/XA9iT2e/bN9xv3V/dt91f3LfcU9yL3T/eJ98j4GPh9+Ov5T/ml+fr6W/rF+zH7nPwH/HD80f0p/YH94v5L/rH/Ef9y/94AUgDAARwBZAGiAeECJAJnAqYC5QMtA4cD7gRYBLwFHQWABd4GLQZuBrQHCgdpB7gH7wghCGMIsAjzCR4JQwl4CcEKEgpfCqsK+QtBC3ELhQuOC58LvAvbC/EL+Av2C/cL/AvyC7gLOQqQCgUJ2goYCo4LBQtsC9QMSQy3DQcNNA1TDXkNrA3iDhIOOw5eDnwOmw6+DuAO9w8CDwoPHQ88D2UPmg/jEDcQfRCeEKEQnRCREFEPtQ7IDcoM6QwDCtcJYQgUB4cH/AkeClELIQuCC6ILqwuoC5cLegtZCzMLBQrPCpkKYwooCeUJoAljCTEJAwjRCJkIXAgeB+IHrgeBB1gHKgb3BsIGjwZhBjoGGQX7BdoFrgV9BU8FJwT8BMgEkQRlBEsENgQZA+4DvwOYA3oDXQM6AxAC4wK1AogCXwI6AhQB7AHEAaQBjQF6AWEBPQETAOcAuACGAFEAHv/v/8T/nv99/2D/Rf8s/xP++/7m/tL+vP6f/nn+S/4b/fP91v2//af9i/1w/Vz9Uv1T/Vj9W/1U/UX9Of03/Tz9PP00/Sn9J/0u/Tb9N/02/Tb9Mv0e/QP89P0H/Tf9Zv17/XL9Wf1D/Tb9MP0u/TD9Mv0w/Sv9Kf0x/UL9Uf1S/Uf9Q/1a/Yj9sP2s/Xb9Kvzw/NX8yvy+/LP8s/y//Mv8zPzH/Mv82fzm/On86/z0/QP9DP0K/QX9B/0U/ST9Lv0x/TD9MP03/Uj9X/1z/Xz9ff2B/Yr9lv2d/Z/9ov2l/aP9mv2O/Yj9iv2N/Yr9gv17/Xj9ev19/YH9hf2G/YT9gv2B/YH9gf1//Xf9av1a/U79SP1D/Tb9Iv0W/Rz9Lv02/Sf9Bvzm/ND8wPyp/I/8ePxq/F38Svww/BT7/fvn+8/7uPuj+5H7fvtp+1L7QPsz+yv7JPsa+xH7CvsG+wT6//r0+uX61/rN+sX6v/q3+qn6lfp9+mT6TPoy+hP58fnR+bT5l/l3+Vn5Qvky+SD5Bfjl+Mj4s/if+In4bfhP+C/4DPfn98L3oPd+91v3Ovcb9vv22fa09pL2dfZY9jj2FPXy9dT1tfWT9XL1VPU59Rr09vTQ9LH0lvR79F30QPQm9Azz7fPI86PzhfNr81PzOvMf8v3y1PKq8ojycPJb8kDyHvH78dzxv/Gg8X7xX/FE8SnxC/Dq8MnwqvCO8HHwVfA68CLwDO/37+Lvzu++77Hvp++d75PviO9+73Tvae9f71XvSu8+7zLvK+8r7yrvJO8d7x3vKe837zzvNe8r7yjvLO807z3vSe9X72Pva+9073/vjO+U75rvp+/D7+bwBPAb8DDwRPBS8FfwXvCC8NnxYfH58nDynvJ68ibx2vG/8dbx/PIV8iXyQ/J98sbzCfM982bzi/Ot89Hz/vQ19Gn0ivSb9K/03fUl9Xf1wPX09hH2FvYP9gn2EPYl9j32VPZs9of2mfaZ9pH2nfbT9yX3aPd79173MfcM9vH21Pay9pL2fPZ09nn2jPat9tL28Pb/9wf3EvcW9wP2yfZv9gv1t/V+9WD1UfVD9Sr1CPTn9NT00vTX9Nn02PTW9Nf01/TX9Nn04PTn9Of04vTg9Ob08fT49Pn0+/UE9RP1IPUk9R71D/T49Nv0v/St9Kj0rvS79Mv03fTu9Pv1AfT+9PH03PTD9LD0rfS49Mf0z/TP9Mr0wfS19KT0k/SG9ID0ffR39Gz0XPRJ9DH0DfPa85fzSvL58qfyUPHz8ZHxM/Dn8LPwjfBa8ALvg+7y7nXuJO4D7gXuGe4v7jnuMO4S7eTtqe1h7Q/su+xx7DvsFuv569/rxuuz66nrquuz68Hrz+va6+nsAewi7EjscOyb7M7tCO1C7Xjtp+3R7fXuEu4q7j7uUe5j7nfuke607tzvBu8v71fvfO+Z76zvt+/F79jv7vAB8A/wGPAe8CTwKvA28EjwYfB+8J7wv/Di8QbxLPFU8X7xpvHL8fDyGPJE8nDymfLD8vXzM/N387nz9/Qx9Gn0ovTd9Rv1YPWq9fX2P/aK9tr3M/eR9/D4Svih+Pn5U/mt+gX6Xvq8+x77ffvW/Cz8h/zp/Uz9qv4F/mP+x/8u/5H/8QBQALABDAFmAcMCJwKNAuwDQgOYA/UEVASqBPUFOQV9BbwF8QYbBkMGcwarBuUHGgdNB38HsgfjCBEIPQhpCJIIuQjhCQkJMQlXCXoJnAm+Cd8KAAofCkAKYAp+CpkKtArVCv4LKQtLC2ILdguTC7kL1wvhC98L5Qv2DAAL+Qv3DCoMnQ0XDUQNAQx/DBYL9gwKDCIMKQwmDCQMHQwJC+8L3QvVC80LvwuzC7QLwQvRC+IL/QwpDFoMgQydDLwM5Q0QDS0NPA1JDWINgA2VDZkNmw2rDcsN7g4KDh4OLw49DkkOWw6IDtgPOw+LD7EPsw+2D9IQAxAwEEsQXhCCEMgRJRF4EZsRfhEuEMgQZBAFD7EPfw+ND+YQahDqEVMRsxIkEqMTHBN/E8wUAhQUE/wTzROpE54TlxN1EzkS/RLUEq8SdRIhEc0RkRFrEUcRFBDVEJAQTBAID8oPmA90D1kPPQ8YDukOsw59DdMNkA1KDQAMtQxyDDcL/gvFC5cLewtrC1YLMwsHCt0KugqZCnkKYApWClgKWwpYCk4KRgpECkkKUQpVClUKVgpcCmYKbAptCnAKfwqbCrsK1wryCxELMwtUC3MLlQu5C9UL5AvwDAwMOQxgDGgMTAwiC/0L4AvCC6ULkguOC48LiQt5C2YLVQtHCzsLMAslCxQK+QrWCq4KhgpgCkAKKQoXCf4J1AmdCWUJNgkTCPwI6wjbCMsIvQi4CL4IxwjECLQInQiFCGsISggqCBgIEwgKB+QHogdYBxkG6QbDBqUGkwaOBo0GiQaBBncGagZcBlUGVAZLBjAGDgYHBikGVgZfBjsGHQY/BpgG5gbrBrEGdAZhBnQGlgbEBwkHXAeTB4kHSAb8BsYGoAZzBjIF6QWgBVcFDQTMBJ4EfgRWBBoD1AOUA1wDGwLIAnECLgIFAeYBuwF/ATwA+QC1AG0AJP/g/5n/Qv7W/l796f1//Rj8r/xC+9j7dfsb+s36jPpT+h355Pmo+W35OPkR+Pz4/fkY+U/5qfot+tj7l/xR/On9Rv1c/TX89vzP/NT88Pz+/PX88P0N/Ub9ev2V/aH9rv22/aP9eP1T/UH9G/yg+8L6w/oI+b/5w/nT+dP52Pn4+h76GvnP+U34w/hU+Aj3zveY92P3Ovcp9y73Ofcv9wD2svZa9gj1vvV19TH1AfT49Rj1TPVw9WD1CfR188vzOfLf8sHyzPLv8xfzI/Le8hrw1+9a7gXtI+y77KLsqey47NTtAe037Wftie2k7cbt8e4a7i3uI+4C7djtr+2E7VHtF+zf7LHsiuxk7ErsU+yZ7R3tze6d747wnvGi8lTykfKD8o/y/fO/9In1H/V/9c32GfZN9lX2NvYG9dT1n/Vt9VD1U/Vj9Vv1KfTg9KH0efRh9E/0SPRU9G/0gPRz9EX0BfPB84PzT/Ml8wTy6PLM8rDym/KM8nryXfI78izyPPJm8pLyrPKw8qPyi/Jw8lzyS/Ir8eLxbvD58LXwt/Dp8SfxY/Gd8c3x6PHx8f3yHPJG8mTydvKQ8sTzBfNB83Pzo/PK89jz0PPX9Ab0NvQS82ryZfFh8JXv++907wju2e7v7yPvS+9f73bvoO/U8ADwJvBV8Jfw5fE58ZjyEfKp81Lz8/R89O71VPW29hX2bfa/9wz3Sfdm91n3Nvch9zD3XfeX99j4KfiS+QP5bPnK+iv6mPsJ+2/7zPwq/Iz86f09/ZL99P5i/s//NP+YAAQAdADaASsBagGlAeUCLQJ3Ar4DBQNSA6sEDARqBMMFHAV+BeQGQAaNBtYHJwd+B8wIDAhKCJEI2QkRCTUJWgmWCegKPQqJCtALFwtWC30LjQuYC60LygvjC/AL9Av2C/ML4AumCzkKogoMCbAJsAoBCncK8AtrC/MMfwzzDTgNWA1wDZINvQ3pDhIOOg5hDoQOpQ7HDukPAg8QDxsPLQ9ID2sPmQ/aECoQcRCXEJ4QmhCKEEIPlA6ODX4MqQv6CxUJyAhnB5oH0AjeCiULFAuGC6oLuwvJC8kLtAuTC2wLQAsLCtAKkgpTChIJ0wmZCWMJKQjrCK4IdghGCBkH7Ae+B40HWwcnBvMGwgaSBmQGOwYTBegFugWRBXcFaAVOBRkE0QSOBGMETAQzBAsD1wOlA3wDWwM7AxkC8QLIAqACewJVAioB+QHLAaoBlQGDAWoBSQElAP8A1QCkAHAAPwAT/+3/yf+p/47/c/9W/zb/Gv8E/vH+2/67/o/+YP42/hX9+v3e/b/9pP2S/Yn9hf2B/Xv9dP1o/Vj9Sf1F/Uz9VP1U/Uz9Rf1F/Un9TP1O/Ur9Pf0j/Qv9Df0z/Wz9lP2Y/YH9af1f/Vv9Uv1D/Tj9Of1A/UX9Rv1H/Uz9Uv1Q/Ub9R/1o/az99P4T/fL9pP1P/RL87/zd/NT80fzQ/Mr8wfzB/ND85/z1/Pf8+P0E/Rr9K/0t/SL9Fv0S/R79PP1i/X/9hv19/Xn9iP2j/bn9w/3J/dL93v3m/en97P3x/fL96v3f/dj92P3Z/dT9yf3A/b/9xv3Q/df91/3Q/cn9xv3H/cb9wf24/av9mv2H/Xv9ev1//X39bf1X/U39Uv1X/Ur9LP0N/Pf85/zT/Lz8p/yZ/Iz8d/xc/EH8K/wU+/v73/vH+7X7pPuP+3f7X/tO+0X7Pvs1+yv7Ivse+xz7FvsJ+vj66Pra+s36wPqx+qD6jfp2+l/6Sfoz+hr5//nm+dD5uvmi+Yz5ffl0+Wj5Ufkx+RH4+Pji+Mr4rviQ+G74SPgb9+/3xfee93f3Ufcv9xD28fbQ9rD2k/Z39lj2NPYP9ez1yvWn9YX1ZvVK9Sr1BfTf9L30n/SB9GH0RPQq9BDz8/PT87PzlfN481rzPvMg8v/y2fK18pnyg/Jq8kjyIPH78d7xxPGo8YvxbvFS8TLxDvDp8MbwqPCM8G7wT/Ax8BjwAu/u79rvxe+w757vkO+F73vvdO9t72XvWu9M7z7vMO8h7xPvCu8K7wzvC+8G7wTvDO8X7xzvF+8P7w7vFu8j7y7vNu8970XvTu9c73Dvge+M75Tvou+479Dv5e/58BDwKvA/8EnwUfBn8J/xAPGE8gzyavJ68kHx8PG98bzx2PH08gjyKPJg8qby6/Mk81PzefOX87Lz1/QH9Dj0WfRt9In0wfUZ9X312PYY9jb2NfYm9iD2LfZG9lj2X/Zq9oL2nvap9p/2m/a59vj3OPdY91T3Pfcj9wf25vbB9qP2lPaR9pf2pfa+9tv27/b29vf29/bv9s72ivYu9dT1kPVn9VH1QfUr9Q306vTQ9Mf0zfTW9Nr02vTa9Nz03vTe9OP07/UA9Q71FPUW9Rv1IvUp9S/1N/VB9Uz1VPVZ9Vr1V/VK9TX1IPUS9RD1E/UX9Rn1G/Ug9Sb1LPUs9SD1BvTm9ND0zPTX9OT05/Tf9ND0wfS19Kr0ofSb9Jb0j/SC9G/0W/RL9Dz0IfPy86zzWfMC8q7yWfIE8a3xWfEQ8NjwsPCK8Ejv1u857pXuF+3Z7dbt8u4P7hruEO337dnttu2I7Uns/eyv7GrsMuwH6+PryOu066jro+uo67Xrw+vQ69zr8OwO7DbsYOyN7L7s9u0w7Wbtk+257djt8+4N7ibuPe5R7mTue+6Z7rzu4O8D7yfvSe9k73bvg++T76Xvte/B78zv2e/n7/Hv9/AA8BHwKvBI8GjwivCv8Nbw/fEk8UzxdfGc8cLx6fIU8kLycPKe8s/zCfNI84nzx/QC9Dv0dvS09PT1OfWB9c32GfZm9rf3Dvdr98j4H/hy+MT5Hfl6+db6MfqO+u/7Ufuu/AX8XPy5/Rv9ff3d/j7+oP8E/2X/xAAjAIAA2gE1AZcCAQJtAs4DIwN1A8sEIwRxBLIE6wUjBVsFjwW+Be4GJAZeBpUGxwb2ByUHVgeGB7YH5AgQCDsIZAiMCLMI2Qj/CSQJSglvCZEJswnVCfkKHQpACmEKgAqiCsoK9QscCzgLTQtlC4QLnwusC64LswvAC8sL0AvqDEMM4Q2ADcANcAzCDBwLxwvAC9sL8wv/C/8L8wveC8sLwwvCC7oLrAuiC6YLswvAC88L6gwTDD4MYAx7DJ0MxwzuDQgNFw0pDUINVw1iDWkNeg2YDbcNyg3TDd4N9Q4UDjIOUg6ADsEPBg81D0IPQA9LD24Pmw+6D8kP3hAYEIAQ/RFfEXwRSxDiEGwQBw+6D4gPfg+sEBEQixD0EUURlRH/EnkS4RMhEzoTOxMpEwQS2xLAErgSsBKYEncSYBJYEkUSEhHCEXIRNxEOEOMQqxBrECkP5g+lD2oPOQ8RDu0Oyw6qDoMOUg4VDVAM+wyqDFoMDwvQC6ILgAtlC1QLTgtLCz4LHwr3CtMKtQqVCnYKYQpeCmoKcwpvCmEKVApUCl8KbQp0Cm4KYwpZClYKVQpVCl4KeAqgCsQK3ArqCvwLGAs5C1gLeAuYC7MLxQvUC/EMGgw8DEIMLAwOC/oL7AvaC8ELrQulC6ULnwuRC3wLZAtPCz8LNwsyCyQLBgraCqoKfApTCi8KEgn5Cd0JuAmLCVsJMAkNCPQI5AjaCNEIywjLCNII1AjICKsIiwhuCFEILggKB/EH4AfHB5IHSAb9BsIGmgZ8BmkGYQZkBmsGcQZ5Bn8GfgZyBmIGUwY+Bh4GAgYKBj0GcwZzBjUF9gYBBmIG0Qb5Br4GTgXxBdgGDQZ9BwAHZgeKB2sHJgbkBrMGhwZTBhcF2wWeBVgFBgS2BHQEQAQPA9sDpgN4A0sDEgLJAn0CPwIVAfUBzgGZAVoBEwDGAHkAL//p/6D/TP7r/of+JP3B/Vv88fyK/Cf7yPtr+xP6xfqA+jz58fmi+Vr5Hvjv+Mv4tPiw+Mb5Afll+fH6oftl/CH8rfzk/MT8d/w//D38YPx8/IP8jvy1/PD9Iv1A/WH9l/3P/eP9zP2t/aL9iP0b/ED7M/pb+ez5yPmx+ZL5ifmz+fz6J/oG+Zz5E/iY+D33/PfH95f3bvdW91L3VvdF9wj2mvYT9ZP1KfTT9JH0bvR99MH1F/VC9Qj0WvNb8lfxmfFJ8WPxxfI+8qLyv/Jq8Y/wSO7f7bDs8Oyd7Insi+yW7LLs4u0Y7ULtXu157Z/tzu337gnuAu3p7cfto+157UjtD+zW7KTsd+xH7BDr4OvW7AbsYuzL7THtmu4S7obu3+8h74XwQfFa8pfzsvSO9TP1svYL9j32UPZN9i716/WT9Uj1J/Un9SX1C/Td9K/0ivRs9Ff0UvRd9Gr0ZPRF9Bfz5POr82zzMfMJ8vjy7vLW8q/yivJ58nTybfJe8lfya/KV8sPy5PLz8vPy4vLK8rnytPKe8kbxmvDL8DLwBPAz8Ivw6fFD8ZPxyPHe8evyC/I98mryhPKb8sLy+fMz827zrfPh8/Pz6PPt9CD0UfQa80XyEfD68Efv3O957xLu1O7f7xzvWO9775jvw+/78CzwUfB38LHxA/Fr8ePybPMC85r0JPSW9PH1RPWc9fr2V/at9vn3NvdX91X3P/cz90j3eve19/b4Rvit+R75ifnv+l361vtL+6v7+vxL/KP8/P1P/aT+B/53/ub/TP+vABsAigDtATsBeQG0AfQCOgKDAtADIwN5A9MEKwR+BM8FJgWKBfYGWQarBvEHOweLB9sIIwhnCK0I7gkiCUkJdwm6Cg4KYgquCvILMgtkC38LiwubC7gL1wvpC+sL5gveC8cLiQsaCoQJ7AmBCWMJlQn5CnAK7At2DA4Mow0VDVgNfQ2XDbINzA3kDgIOKw5aDoUOpw7FDuQO/w8UDyYPOw9WD3cPpA/jEC4QbhCOEJIQjRB9EDYPhQ53DWIMnQwfC30KXQjuB90HxQiqCfgLCAuSC8AL1QvtC/0L9QvZC7ILgQtFCv4KtQpvCjAJ9Qm+CYYJRwkCCMAIjAhoCEkIJQf4B8QHjwdbByoG+gbJBpgGZwY2BgMF1gW5BbIFtAWiBWcFCwSyBHcEWwRJBCoD+gPBA4sDXgM7Ax8DBQLpAsgCowJ3AkICBwHTAbEBngGOAXcBWgE7ARsA8wDEAJMAagBHACYAA//h/8T/qf+K/2j/R/8s/xT++P7U/qn+f/5e/kX+K/4L/eX9xv23/bb9tf2r/Zv9jP1//XH9Yf1Y/Vr9ZP1s/W39Z/1i/V79Xf1a/VL9QP0q/SD9NP1k/ZX9p/2U/Xf9a/10/YD9ff1s/V/9Xf1j/WX9X/1W/VP9Uv1N/UL9P/1d/aL99/4w/iz98P2d/Vf9LP0V/Qb8+Pzq/N381vzb/Oz8/v0G/QT9BP0R/Sj9Pv1H/UD9Mf0r/UL9fv3L/gH+Av3a/bb9tf3U/ff+CP4N/hL+HP4k/ij+LP4z/jj+N/4x/i/+MP4w/ij+Gv4O/gv+Ef4c/ib+KP4g/hb+Dv4L/gb9+/3t/d39zP24/av9r/3A/cz9wf2k/Yn9gP2A/Xf9Xv0+/SX9Efz9/Ob80fzC/LP8n/yF/Gz8V/xD/Cr8Dfvy+9v7x/uz+537hvtz+2b7XvtV+0r7Pfsz+yz7IvsT+wD67/rg+tH6wPqu+p36jfp7+mn6WPpH+jX6H/oJ+fX54vnN+bn5qvmh+Zb5gPlg+T/5IPkC+OP4xPin+Ir4Z/g8+A/35vfA95n3cPdL9yz3D/bw9s32rfaP9m72SvYi9fv12PW19ZP1dPVV9TX1E/Tw9ND0sfSR9HD0UfQz9Bfz+/Pf88Tzp/OG82PzQvMk8wXy5PLF8qvyk/J08kzyIfH/8eXxz/G18ZnxfPFd8TfxDvDm8MPwpfCI8GrwTPAx8Bfv/u/m78/vuO+g74vve+9v72fvY+9g71nvS+847ybvGO8M7v/u9O7u7u/u8e7x7vHu9u797wDu/O717vbvAe8Q7xzvJO8o7y3vOe9N72Tvd++E74/voO+z78Tvze/W7+jwAPAY8CrwOfBO8HLwsfEX8Z3yHPJj8lryHPHf8cTxx/HX8ezyDvJC8oDyvPL28yzzWvN584/zqvPV9Ab0LvRJ9Gr0pvUF9Xj15/Y59l/2XPZJ9kP2V/Zx9nr2bvZm9nj2mvaw9qv2nvao9tL3Bfcn9zH3Lvco9xv3A/bl9sv2vPa29rf2v/bQ9uL26fbj9tX2xvau9n/2NfXg9Zj1afVR9UD1LPUR9PL02PTK9Mr01PTd9OL05PTo9O/0+PUD9RP1KfVC9VX1YfVm9Wn1bfVx9Xf1gPWH9Yv1jPWQ9Zj1nvWc9ZL1h/WC9YH1fPVv9V71T/VH9Uj1T/VV9VD1OvUa9QD09fT39Pr09vTn9NT0wvS19K30qPSk9J/0lPSA9Gb0TfQ99DP0IPP287DzWfMC8rLyZfIY8cjxePEu8PPwzPCu8HjwCe9g7qbuFO3S7djt/u4e7iPuEe3z7dXtue2b7XHtNuzt7KDsWOwa6+zrzuu866/ro+uc65/rreu968/r4+wB7CfsU+yA7LDs4u0X7UrteO2e7b3t1u3s7gPuG+4y7knuYu597pnus+7M7unvCu8n7z7vTu9e723vee+B74vvmu+s77nvv+/I79vv9vAU8DTwV/CA8Krw0PDz8RjxQPFr8ZTxuvHj8hHyQvJ08qjy3/Mb81jzlfPQ9Av0SPSJ9Mv1EPVY9aX19fZI9pz28fdJ96L39/hG+JX47flM+a36Cvpl+sT7J/uH++D8NfyN/Oz9UP20/hb+eP7a/z3/n//+AFkAsgEOAXMB4QJOArADBQNUA6MD8QQ1BGwEmwTLBP8FNQVrBaEF2AYQBkUGdAagBswG+QcnB1YHhAeyB94ICQgyCFkIfwioCNEI+wkjCUgJbQmSCbgJ3goFCi0KUgp1CpYKuwrjCwcLIgs3C0wLYQtwC3oLhAuRC5wLpwvJDCcMvw1TDYcNMwyEC90Lgwt4C5QLsgvDC8ULvAuuC6QLowukC5wLjwuIC44LnAupC7kL1Av4DBwMOgxZDIEMqwzNDOIM9A0JDRwNJw0uDUANYw2IDZwNnQ2fDbQN3w4QDjwOZA6MDrMOzA7QDscOxQ7XDvgPFw8zD1oPpBAVEJgRCRFEETkQ8RCGEBsPyQ+bD5EPrQ/0EFsQyBEjEW0RuhIVEmkSkxKGElYSIhH5EdwRyRHCEcMRwBG1EasRrhG4EbARiBFMERYQ7RDJEJkQXBAZD9YPlQ9YDyQO9g7HDpMOZQ5ADh0N7A2kDNgMfgwsC94LlgteCzwLKwsjCyELKAsuCygLEQryCtYKvQqfCn4KaQpqCnkKhgqECnYKaQpnCnIKggqLCocKdwpmClwKWwphCnMKlAq+CuEK8Qr0CvsLEAstC0gLYAt6C5YLrwvHC+UMCQwlDCwMHwwNDAML/QvyC+ELzwvDC7sLsQuiC44LdQtcC0gLPws8Cy4LDArYCp8Kawo+ChcJ9QnXCboJmgl2CVEJKgkFCOkI3AjdCOQI6QjrCOgI2Qi5CIsIXgg8CCAIAAfdB7wHnwd4BzsG8AarBncGVAY+BjMGNwZEBlMGZAZ3BogGigZ3BlYGNQYYBfwF7wYGBkQGfgZ9BjUF3wXQBiQGpQbuBr0GJgV/BTIFcwYlBu4HcweQB2IHIQbsBr0GhAZABgEFzQWYBVUFAgSrBF8EIAPpA7cDiwNkAzwDCwLOAo0CUgIjAf0B1wGpAWsBIADOAH8AOP/y/6f/U/76/qT+Tv3x/Yv9IPy5/Fr7/vuh+0X68fqi+k/59PmY+Ub5BvjU+Kj4fvhc+E74ZPil+Rf5tvp4+0H76fxG/Er8F/vm+9v77fv//Aj8HfxP/I78vvzd/Qj9WP23/fb+Af3w/eH9wf1c/Jf7ovrM+kL57fmi+Vr5Ovlj+b/6DvoW+cr5S/jH+Fz4EPfc97L3jvdw9133Tvcv9uj2b/XX9UH0yPRy9Df0H/Q79I/08PUO9Kbzr/Jo8Tbwa/Ar8Gfw9fGa8hnyOPHR8OXvpO5c7VbsuOx17GTsaOx57J3s1O0J7SztQe1Y7XztqO3L7d3t3+3U7b3tme1r7TrtBezM7JbsaOw77ADrtety61XrXutt62zrb+ue7AHsfOzz7X3uU++M8P3yWfNv9D/04vVl9cn2DPYp9hj12fWD9Tv1F/UM9P703/S49JX0dfRU9Dj0LvQy9DL0HfP388/zqvN98z7y/fLV8s3y0PLC8p7yf/J58ojyk/KR8pHypfLJ8u7zDPMo80TzUPNG8zTzKvMP8qDxuPCL75HvKu9X78/wTPC78R7xbfGf8cHx7fIs8mrylfKw8sry6/MW81LzofPq9An0AfQB9C30VvQT8zDx9/Dw8GHwGO/B70nu6u7d7xbvW++J76rv1fAO8ETwbvCX8NbxOPG48kjy1fNY88/0OvSY9On1NPWG9eT2R/al9vX3Nfdb92P3WfdX93H3pPff+B74avjM+Tn5pPoN+oL7Avt6+9n8Ivxq/L39E/1l/br+Hv6M/vf/WP+7ACgAmgEBAVYBmwHaAhcCVAKXAucDQgOeA/UERgSVBOgFQgWmBhAGcwbFBwoHTwedB+0INwh5CLkI9gkwCWUJnwnmCjYKhwrRCxILRgtoC3kLhgugC8UL5QvvC+QLzwuuC3ALBQpwCdIJWgkrCUoJoQoSCosLDAucDDIMug0jDWsNnw3DDdgN3w3mDf0OKQ5dDokOqQ7EDuAO/g8bDzUPTQ9nD4gPuA/3EDsQcBCIEIoQhxB6EDkPkg6PDYgM3wyYDEQLYQnwCJIICQiWCcgK6wuUC9QL7QwJDCIMJgwTC+8LvQt7CzAK5AqcClcKEwnUCZsJYQkjCOUIsQiNCHIIUwgqB/oHyAeYB2gHNwcEBs8GmgZkBjAGBQXuBe0F7wXUBYwFJgTDBIEEYQRRBDwEFwPiA6UDbANBAykDHAMOAvQCzgKZAlkCFQHbAbcBpQGXAYIBaQFQATYBFQDrAMIAoQCGAGgARQAf//3/3v+9/5r/d/9V/zL/Dv7n/sL+o/6K/nb+X/4//hj99v3i/dz92P3K/bP9n/2U/Yv9f/1x/Wj9av1x/Xb9df1x/Wz9aP1j/Vn9R/02/TX9T/14/Zb9lP17/Wn9c/2Q/af9p/2Y/Yr9h/2H/YL9ef1w/Wz9bP1o/Vz9U/1d/Yb9xv37/gb95v21/ZD9gP12/Wb9UP09/S79I/0X/Q39B/0J/RD9Hf0v/UT9WP1l/WX9Wv1W/Xf9yf4t/mv+Yf4k/e396v4R/jz+Tv5P/k/+V/5f/mL+Zv5u/nj+fv5//oD+gv6B/nr+bv5i/ln+WP5d/mj+b/5v/mb+W/5S/kn+PP4u/iL+FP4A/e396f33/gX9/f3g/cL9tv25/bb9of2A/WH9SP0x/Rn9A/zy/OH8zfyz/Jr8hPxu/Fb8O/wf/AT77fvY+8X7sfue+4/7hPt5+2v7W/tL+z37L/se+wv6+frr+t36zfq/+rP6qfqd+o/6gPpy+mH6Svow+hb5//np+dP5wfmy+aL5jPlw+VL5NPkU+PD4zviz+Jz4gPha+DD4C/fp98P3mfdw90/3MfcQ9ur2xfai9n/2V/Yu9gb14/XE9aT1g/Vi9UP1JPUG9Oj0yfSo9IX0ZPRE9CT0B/Pu89bzufOV827zS/Mv8xTy9/LY8rvynvJ58lDyKPIK8fTx3fHB8aTxhfFi8TjxDfDl8MTwpPCD8GTwSvA08Bvv/e/f78Lvp++O73rva+9i71zvWO9V70zvOu8i7wzu/+757vHu5u7c7tnu2+7f7uDu4+7n7unu5e7h7uLu6u727wDvB+8N7xjvKu9B71fvZ+9y74Dvl++w78Dvwe+8773vyO/a7/HwDfAt8E3wdvC78Snxq/IW8kTyOPIS8e3x1PHI8c/x8vIn8l/ykPK/8vTzKPNQ82rzhfOv8+L0D/Qx9FX0kPTr9WD12fY69m32c/Zm9mf2gPaa9pj2e/Zh9mn2i/ap9q/2qPav9sz28fcK9xX3Hvcs9zj3N/cl9wz28fba9sr2x/bP9tn22vbN9rn2oPZ99kb1/vW09Xv1WfVC9Sr1DPTv9Nv00vTT9Nn04/Tq9PH0+fUF9RX1KfVC9V71efWP9Z31pvWt9bL1tPW19bj1vfXC9cP1xfXO9d317PXy9e/16PXf9c71sfWM9Wj1TvVA9T/1SPVX9WH1XPVK9TP1H/UQ9QP09vTn9Nf0yPS99LX0rvSn9Jz0jfR39Fz0QvQ19DH0J/QB87jzXPME8rjyc/It8eTxmvFW8R7w8/DM8IbwAu9F7oLt+u3O7enuF+4y7jDuGO327dPttu2e7YLtV+0Z7M7sf+w26/3r2evG67rrq+ud65frn+uy68fr3Ov37BnsQ+xw7J7szez97SvtV+1/7aDtue3N7eDt9u4O7ifuQe5b7nPuiO6c7rTu0+7w7wbvFO8f7yrvNO8+70nvWu9s73rvhe+U76vvyO/l8ALwJPBN8HjwnvC+8OLxDfE98WnxkPG18d7yDfJC8nrys/Lt8ybzYPOb89n0G/Rh9Kb06vUu9Xj1yvYh9nf2zPcg93b3y/gb+Gv4w/kj+YX54vo7+pf6+Pta+7b8Dfxl/MT9Kf2N/e7+T/6y/xj/e//ZADIAjADsAVQBwAIqAokC3AMpA3IDtgPwBCEETgR+BLME7AUkBVoFjQXABfEGIAZNBnYGnwbJBvUHIwdRB38HqwfWB/8IKAhTCIEIrQjXCP8JKAlRCXgJmwnBCesKFQo5ClUKcgqWCr8K4Ar2CwULFwsqCz4LUQtjC3ELfAuVC9EMLwyGDJsMVwvdC3ILPwtBC1gLbQt8C4ULhguBC34LfQt8C3ULbAtrC3QLfwuJC5oLtQvXC/YMFAw3DGMMjAyoDLsMzwzlDPMM9gz+DRoNRA1lDXQNhA2sDeoOIQ47DkAOSg5jDn0Ogw52DmwOcg6DDpAOmw7CDyYPxhB3EP8ROBEhENoQgBArD+UPug+vD8MP9BA8EJAQ5BEwEXURuBHyEgwR7hGfEUAQ9RDOEMYQzxDhEPEQ+BD3EPcRABEIEQEQ6BDKELYQpRCHEFQQEg/ND4oPSw8UDukOwA6JDkUOBQ3XDbMNgQ00DHEMIAvYC5MLUQsfCwMK+Qr4CvwLCAsVCxULBgrvCtwKyAqtCo4KeAp2CoMKjwqPCoYKfAp4Cn0KjAqdCqIKlwqECnoKfwqRCqsKywruCwcLDQsHCwQLEQsmCzoLSAtbC3cLmQu6C9kL9gwMDBYMEwwLDAcMBgwFDAIL+wvwC94LyAuyC5wLgwtnC08LQws9CywLBArJCokKUQokCf4J2gm4CZYJdQlVCTQJDwjpCMwIxQjUCOsI+gj6COsIzQieCGcINggSB/YH1AerB4IHWwcvBvUGtAZ4BkoGKQYUBg4GGAYtBkMGWQZwBoQGhQZqBj8GFwX6BeoF6QYEBjwGbwZwBiwFzQWbBcYGMwaKBm8F0wUJBJ8E8QXkBvQHnAe1B3kHNwcMBt4GlwZABfYFwQWSBVMFBgS1BGsEKQPvA74DlQNvA0QDEwLcAqICZgIuAf4B0gGhAWEBEwDBAHYANf/z/6j/VP7//q7+Xf4F/aL9O/zW/Hf8Gvu8+2D7Cfqx+lT57/mL+TT48fi++I74W/gl9/j36PgH+F346fmb+l37DvuL+8L7vPud+4L7dPtu+3D7jPvH/A/8Sfxz/Kr9BP1z/cv97P3g/b/9i/0s/JT72vsn+pD6DPmP+Sb4+fke+X753Pn9+cz5XPjW+Fj38/eo93D3Rvcg9v723Pay9nL2EPWU9Rf0sfRo9DX0HvQ29IH01PTX9ELzGvG18ILvzu+k7+jwb/EH8XXxf/EI8CDvAO3r7RXslOxb7E7sV+xy7J7s1u0G7SPtMu1G7WftjO2p7bvtx+3L7bvtk+1e7S3s/ezG7IfsT+wh6+zrn+tE6vfqxOqY6mTqQOpZ6rvrPOu07DHs7+4O72PwofGc8mfzJvPc9HL0zfTu9Ob00vTL9Nz0+vUG9Oz0uPSJ9G30WPQ59Bf0B/QL9BH0BfPm88PzovN38zjy9PLE8rTytPKu8p7ylvKj8rvyyvLL8s/y5vMH8yDzNPNW84zzvPPK87rzpvOB8v/x4fBX7vzuYe6X7zbvzPAz8IXw2PEp8W3xrvH38kPyg/Kv8sny3fL68zTzjfPk9A70CfQF9Cr0T/QP8z3yIvFB8NPwnPBA77LvNO8J7yrvYe+J76nv1vAT8FTwjvDL8R7xkvIh8rfzOvOh8/b0R/Sa9On1MvWA9d32Rfaq9wH3Rfdy94X3hveL96X31fgM+Ef4kPjv+Vn5w/os+qP7Jvuh+/78Q/yG/NX9Kv1//df+Of6i/wf/Y//FADUAqwEZAXUBxAIKAkUCfQK9Aw8DbgPJBBcEXwStBQUFYgXCBiUGhgbcBygHcAe9CAoITwiLCMUJBAlHCYoJzQoVCmMKsgr5CzELVwtrC3oLjwuyC9gL8AvxC9wLuAt7CxcKiAnnCWMJIwkzCYAJ6gpaCtALUgvdDGEM0A0rDXkNvA3qDfoN9Q31DgwOOA5pDpIOsg7PDu0PDg8vD0sPYg94D5YPxxAGEEUQcxCJEJAQkxCJEEwPsw7HDdkNUw1LDVMMyQtyCc0IuAi5CZkKsQt3C9UL/gwdDDgMQQw1DBcL6AurC2kLKQrpCpwKRQnzCbUJhQlVCR0I5Ai4CJgIeghVCCsH/wfVB6YHcQc4BwAGygaWBmIGNwYdBhEGAAXUBYQFIgTJBI0EaQRSBDwEHwP0A7wDgQNTAz0DOAMwAxoC8gK4AnECJgHmAb4BqgGcAYoBdAFiAVEBPAEgAQAA4wDIAKkAgwBaADIADP/n/8P/n/92/0n/G/71/tr+xv6y/p3+h/5u/k7+Kv4N/fz98f3h/cn9s/2m/aD9mf2N/X/9dv1y/W/9bf1r/Wr9a/1p/WL9U/1F/UP9Vf1v/Xv9c/1k/Wf9hf2q/b79uv2s/aT9pf2l/aL9nf2b/Zz9nv2e/Zj9iv1+/YD9lP2r/bP9rf2s/cP96v4H/gz+AP3y/d/9tv10/S/9C/0V/T39Zf19/Yj9kf2a/Zr9i/2C/Z/97v5O/ob+eP4//hb+I/5W/oP+kv6P/pD+mv6j/qX+pv6t/rn+wv7G/sj+yv7I/sT+v/65/rH+p/6k/qr+tf67/rb+qv6e/pL+hf57/nL+af5W/j7+LP4q/iz+I/4M/fb99P3+/gH97f3K/af9jP10/Vv9Q/0u/Rv9Bfzt/NL8t/yc/IL8avxR/Df8HvwH+/T74vvO+7v7q/ud+437evtn+1j7S/s8+yr7GvsM+wH69frq+uP63PrT+sT6s/qi+o76cvpR+jD6E/n6+eP5zvm6+aX5jvl1+V/5SPkr+Qn46PjO+Ln4n/h7+FP4MPgQ9+z3wPeV93D3UPct9wb23va59pP2afY+9hb19vXZ9br1mfV49Vn1O/Uf9QD03vS69Jf0dfRV9DX0F/P/8+fzyfOi83rzWfM/8yfzCvLp8sjypvJ/8lfyNPIb8gXx6/HL8anxiPFi8TjxDvDq8Mrwp/CA8F7wRvAy8Brv+u/W77XvmO9/723vY+9d71jvUe9I7zrvJe8K7vHu5O7i7uDu2e7P7svuzO7P7tDu0O7R7tHu0O7P7tDu0+7X7tvu4e7t7v/vF+8v70PvT+9W72Tvf++h77jvuu+t76Dvnu+p78Dv4vAI8CrwSvB48MbxMvGg8fXyJPIw8h7x8/HF8bLxzfII8kbyc/KW8r/y8fMi80rzcPOc883z+PQd9Eb0gPTV9UH1tvYb9lr2b/Zy9oD2oPa59rD2iPZi9l32evad9rH2vPbN9ur3BfcR9xP3Hfc491v3cfdt91D3JPb49tT2wfa/9sX2xva79qf2ivZh9ir16vWt9X31WfU29Q705vTN9Mf00fTf9Or08/T99Qv1HfUx9Uf1YPV+9Z71t/XG9c311PXf9en17PXq9er17/X29f32BfYV9ir2PfZD9jv2JvYD9cz1h/VF9Rf1AfT99QP1E/Us9Un1X/Vl9Vn1QPUj9Qz0/fT09On02/TO9MX0vvSz9KT0kfR99Gf0U/RK9Ev0R/Qh89Lza/ML8sDygvJG8gbxyPGN8VfxJfDp8IXv4+8R7k/t3e3M7fbuIO4t7iPuDu3z7dPts+2b7YTtYe0s7OjsnuxW7Bfr6OvM677rtOup66Lrp+u268nr2uvv7AzsMuxe7Izsu+zp7RPtOu1d7X7tmO2u7cLt2e3x7gnuIe457lDuZO527ozupe697s3u1u7c7uPu7u747wTvEu8j7zTvR+9f73vvl++y78zv7PAU8D7wY/CF8Kzw2vEN8T3xZfGK8bDx3fIS8kzyh/K/8vbzLfNo86rz8fQ79IT0yPUI9Uv1mPXu9kX2mfbs90H3mffu+EP4mvj4+Vj5tPoL+mT6w/sl+4X74Pw8/J79A/1n/cf+Jv6K/u7/T/+qAAMAYQDHATEBmQH6AlMCpALwAzQDcAOlA9UEBQQ4BG8EpwTdBQ8FPQVrBZoFygX5BiMGSQZvBpcGwwbwBx8HTgd7B6cH0ggACC8IXQiICLEI2wkGCS4JUAlyCZkJwwnoCgQKHgpACmkKjgqoCroKzgroCwMLGwswC0ALTAtWC2YLgAuUC4wLYwsvCw4LCgsWCyILKws5C0sLWAtcC1gLVAtPC0sLSQtOC1YLXAtiC3MLkQuzC9EL7QwSDD0MYgx6DI4Mpgy+DMoMzAzaDPwNJA0/DV0Now4ZDosOtg6KDj0OFA4hDj0OQg4yDigOMg49DjwORg6QDzgQGxDnEU0ROxDdEHQQJw/6D+EP1g/fD/0QKhBcEIwQvhDzESkRVhFmEUoRAhChEEgQEA/8EAIQFxAxEEcQUxBVEFYQWhBdEFkQTxBLEE0QRxAqD/MPsQ9vDy8O9A7GDqUOhA5LDfsNrA1zDUgNFAzIDBkL2AuhC2cLLAr8CuEK1grVCt0K8AsFCwwLAgryCuUK2QrFCqgKkAqJCo8KlgqYCpMKigqCCoIKlAqwCsMKvwqsCqIKrgrMCuwLCAscCycLIgsVCwwLEQsgCywLNAtBC1wLgQunC8UL2wvtC/gL/Av7C/sMAQwNDB4MJwwhDAYL4Qu/C6MLiQttC1QLRQs6CyQK9Qq0CnAKNwoMCeoJygmmCX8JVwkzCRAI6wjFCKkIpgi7CNgI6QjmCNIIsAiBCE0IHwf7B9sHsAd5B0MHFAbrBr0GigZZBjAGDgX3Be8F+QYPBigGPwZWBmgGaAZQBikGBAXtBeQF6AX9BiEGQwZEBhAFtQVjBU4FggXJBcQFRASIBCgEmgXIBxQH3AfzB6cHWwcsBvcGogY7BecFsgWGBVAFDgTKBIcERwQNA94DtwOPA18DKALvArYCeQI5Af0BxgGNAUgA+QCpAGQAKf/u/6r/XP8J/rb+Yv4K/a39Tfzs/Iz8LPvO+3L7GPq6+lX56/mE+Sn44Pim+HL4Off397T3hfeG98T4O/jY+Yb6MfrC+yD7QPsr+v/61fq9+r363PsY+2H7pvvj/CT8e/zi/T39bP1j/S382/x9/BX7pPsn+pr5/flm+PT4yfjr+UD5lfm7+Z35RfjL+EP3u/c+9tj2kPZe9jX2C/Xh9bT1fPU39Oz0qfR19En0LvQ59HX0tvSg8+nyoPEw8BHvge9x77LwGfCD8MTwr/Ax72TufO2n7QLsluxh7FbsaOyL7Lrs7e0X7S3tOO1J7WXthO2c7a7tv+3I7bfthu1K7Rns8uy/7HjsLuvz67/rd+sW6rLqXOoP6cPpjemS6dTqKepv6r7rUOw67UTuK+7j76DwivGE8kfyqfK98sLy8vNi8/f0evS79LX0kPR89IL0iPRy9En0LvQw9D70PfQk8//z1/Os83fzO/MG8uTy1/LZ8uHy8fMG8xnzIfMl8zTzVvN484bzhvOY89L0GfRD9En0Q/Qm85vyTfBm7qTtzu4M7tfvgu/S7/zwQvCp8Q/xYPGn8fPyQ/KH8rXyz/Lt8yjzgvPa9ATz//P89B70QfQM81nybPG58WfxN/DV8Dnvqe9g713vde+M76rv3fAm8Hfwy/Em8ZDyDfKY8x/zjvPe9Bz0YPSu9P/1SfWV9e/2Vva79xD3VfeI96f3tffA99r4Bfg4+HD4uPkX+YP57/pb+tX7WvvS/Cj8Yvyb/Of9P/2a/fb+V/67/xn/c//TAEQAuwEsAY8B5wI0AnQCrgLyA0kDqQP9BEAEfwTKBSMFfwXaBjgGmgb6B1EHnwfpCDAIcAiqCOMJJAlqCbAJ9gpACpIK4wsoC1QLbAt8C5ELsQvUC+sL7wvjC80LpwtfCuUKRQmqCUkJPwmECfEKYgrLCzkLswwwDJsM7A0zDX8NyQ37DggOAQ4EDh0ORA5sDpIOug7iDwcPKA9ID2QPeA+HD6APzhAMEEcQchCNEJ8QqhCjEGoP4Q8PDjwN1Q4HDnIOWA1BC3UJ1wktCY4KdQtKC84MFAw8DFMMVgxJDC0MAQvLC5YLZwszCuYKggoiCeAJtwmOCVUJFAjeCLsIngh6CFIILAgHB9wHpQdoBy4G+gbHBpMGYQY5BhkF8wW4BWcFFQTTBKYEggReBDoEGQP3A8wDmgNxA1sDVANKAzIDCgLSAosCPQH3AcoBtQGoAZkBhgF3AW8BZwFZAUMBKQEIAOIAuACNAGMAOAAO/+j/w/+W/2H/L/8N/v3+8v7e/sL+qP6T/nv+Wv42/hz+DP39/en90P28/bD9q/2m/Z79kf2B/W/9Yv1d/V/9Zf1q/Wj9Xv1T/VD9Wf1m/Wr9ZP1h/XH9kv2u/bT9qv2i/af9tf3A/cf9zP3S/dT91f3W/dX9yf2w/ZX9hv2B/YD9iP2r/fP+TP6V/r/+1/7k/tP+hf4D/Yf9Uv1z/bz98/3+/fH95/3j/df9vP2m/bX98f47/mT+W/47/jP+V/6O/rX+wP7A/sr+3f7q/uz+6f7t/vj/A/8L/xH/E/8S/xD/Ef8T/xL/CP7+/v3/A/8H/wH+9f7o/tz+z/7C/rj+sP6k/pD+ev5s/mL+VP5B/jb+O/5J/kz+N/4U/fD91f29/aT9iv1w/Vj9Qv0q/RH89PzV/Lj8oPyL/HT8W/xC/Cz8F/wA++n71fvE+7L7nfuJ+3z7dPtq+137T/tD+zn7L/sj+xn7EPsD+vD62frC+qr6i/po+kT6JvoN+ff54vnM+bX5nPmF+XL5YflL+S35D/j1+N74wvic+HP4T/gv+Ar34Pez9433a/dI9yL2+/bV9q72gvZX9jD2EfX09db1tPWT9XT1VvU39RT07fTG9KL0gfRi9EP0J/QO8/Tz1POs84XzZfNN8zTzFfLy8s/yq/KF8l/yQPIq8hTx9/HT8a7xivFk8TvxFfD18NXwrvCC8FzwQfAs8BPv8u/O763vj+9172TvXe9b71XvR+827yPvDe707tzu0O7P7tDuze7H7sPuwu7C7sDuve667rnuue657rvuu+657rnuv+7P7uTu++8S7yXvMO807z3vVu9775vvp++f75Pvke+b763vwu/b7/bwGvBO8JTw5/E98ZDx4fIh8jjyGPHX8abxrfHo8i/yY/KC8p/yyfL98zTzaPOW873z3/QE9Df0ffTV9Tr1o/YB9kT2Z/Z69pL2tfbN9sP2mfZs9lz2b/aU9rb21Pb09xb3Lfcv9yf3K/dK93n3nPee9333R/cP9uH2xPa49rf2tPaq9pP2cfZF9hH12/Wp9X31UvUj9PH0yfS39L700fTl9PX1A/UW9S/1SfVg9XP1hvWd9bf1zfXb9eb18/YF9hP2GfYY9hr2JPYy9j/2S/Za9mv2dPZv9lb2JvXd9Xn1DfS19If0gvSW9LH0z/T29ST1T/Vq9Wz1WPU89Sn1JPUj9Rj1AvTs9OD02/TR9L70qfSY9Ij0dvRr9Gv0ZvRB8+zzfPMU8sjykfJe8inx9PG/8YnxUPEH8JXv5u8O7lDt6+3o7hHuK+4m7hTuBu337d3tvO2e7YTtYe0t7O7sruxw7DHr9+vN67nrsuuv667rsuu868jr1evo7APsJexO7Hvsq+zb7QTtJO1A7Vztdu2Q7ajtwO3X7ezuAO4V7ivuP+5Q7mDuce6B7o3ulO6a7qPure617rzuxu7U7unvA+8g7z7vWu9175Hvs+/Z8ADwJvBL8HXwo/DU8QXxM/Ff8YrxuPHr8iPyXPKU8snzAfM984DzyPQT9F70o/Ti9SL1afW69g/2Y/a29wz3ZvfA+Bn4cvjN+Sr5hfnc+jP6j/rv+0/7rvwO/HL82P07/Zv9/P5e/sD/Hf91/88AMgCeAQoBbAHDAhQCYwKuAu8DJQNVA4YDuQPvBCQEWQSLBLoE6AUUBUIFcwWjBc0F8wYXBj0GZwaUBsIG8gcjB1EHfgerB9oICAgyCFkIgQitCNkI/gkfCUIJaQmPCbAJzgnxChoKQgphCnkKlAqyCs8K5gr3CwYLEAsRCwkK/ArrCtcKxAq9CsgK3ArpCusK7wsACxkLLQszCzALKQskCyILJAsrCzELMws4C0oLawuOC6oLxAvkDAoMKgxADFgMdgyRDJ8MqQzDDO0NEQ0rDWMN6A6oD0QPYg8JDp4Oeg6dDroOnQ5VDhoOBA4FDhIORQ7JD5wQgBEYETMQ5BB1ECUQBxAFEAMP+w/9EBAQLBBDEFAQYRB+EKIQtxCnEHEQIw/bD6wPlw+SD5QPmg+lD7IPug+6D7kPvA/BD8YPyw/UD9oP0Q+tD3UPOQ7/DsUOjg5lDk0OMw4ADbANWw0YDOUMrAxkC8oLmwt0C0gLFArlCsUKtQqxCr4K3Ar8Cw0LCQr8CvYK8grkCsoKrwqgCp4KogqkCqAKlgqJCogKngrHCucK6ArSCsQK0wr3CxoLLQszCzILKQsbCxALEQsbCyULKQsxC0YLaAuNC6kLvQvMC9gL4AvjC+cL8gwJDCcMPgw8DB0L7gvCC6MLiwtyC1sLSQs4CxwK6gqmCl8KJAn6CdwJwgmiCXoJTAkgCPoI1QiyCJcIkQigCLUIwAi7CKgIiwhiCDMICAfiB7oHhAc/Bv0GywapBokGZAY8BhUF9AXbBc4F0wXnBgAGGAYtBjsGPQYuBhEF8gXcBdQF2QXnBfgGBwYGBeYFnwU+BPEE3wT6BPsEoQQQA9MEZwW5ByoICQgjB84Hcwc0BvAGjAYfBcwFnAV4BU0FFwTeBKEEYQQlA/cD0wOsA3kDPAL/AsQChgJDAgABwQGBATkA6gCcAFgAH//q/7D/bf8e/sb+af4N/bP9WPz7/Jr8Ofvb+4D7I/q/+lX56vmE+Sj41/iP+Ez4Bve392X3JPcQ9zv3m/gf+LT5UPnj+lL6hfp4+kf6GfoG+g76KvpU+or6yfsH+0P7hfvV/Cv8bPx2/Dz72Pt0+y76/Pq8+lH5wfky+M/4rfjG+QD5OflU+UP5B/ip+Cv3jPbb9jn1xPV/9VX1MfUP9PL02fS69JL0aPRF9CT0DvQY9E70hvRj85jyPPDG77fvRe9M74vv1vAU8Crv+++D7uDuN+2f7SDswOyK7IDsl+y97OjtFO067U/tVu1f7XLtje2k7bbtxu3K7bHteO017QXs4+yz7GbsDuvD64XrOurX6mrqBemo6UzpAujh6Ojo8+j16RDpeuov6uzrf+wD7Mft6e8k8Arwa/B38I7w9vGx8orzQvO28/T0KvR79Nj1FfUW9O30w/Su9Kf0l/Ry9EP0GfP489nzsPN+81PzRPNV83bzkPOd86PzqfO1883z8vQT9Bjz//Ps9AT0Q/SE9K/0zfTG9D3yz/Ce7oLtbu2n7pLvVu+d767v7vBr8OjxOPFo8Z/x7vJF8ovyvfLr8y3zg/PP8/Hz7fPu9A70KvP482Dyo/Ie8ebxvPFZ8L7wKe/N76nvoe+q78vwCvBd8L3xKPGe8hnykvMI83Xz0PQV9E70jvTd9S71evXF9hz2e/bU9x73XPeS97332Pfs+Aj4Mfhi+Jn44flB+bD6IPqU+xL7l/wI/FH8fPyq/PP9Uf2z/hL+cP7P/yn/gv/iAFEAyAE7AaQCBQJbAqIC4AMmA34D3QQuBG0EpwTwBUYFoAX4BlMGtwceB3sHzAgTCFcIlwjUCRAJUAmTCdYKHgpuCscLGwtZC3wLjQuhC8EL5Qv7C/cL4QvJC7YLmQtVCtoKOwmqCV8JcwnYCl0K3AtKC7UMKQyVDOMNEw0/DXoNvQ3uDf8OBA4RDioORQ5hDokOvg70Dx0POw9ZD3gPjg+bD64P1xAREEgQcBCPEKsQwBC9EI0QGg9lDqoOWA61D3sP3Q8kDVkLTwn+CcgKXwssC84MMAxiDHIMawxZDD8MFwvjC64LhAtZCxQKtwpbCh0J9QnICYQJOAj9CNgIugiVCGwISQgtCAsH2geeB2EHKgb1BrwGgQZNBiAF7wWuBV8FFwTmBMYEpgR5BEkEIAP/A94DtwOTA3oDagNYAz0DFwLmAqYCWgITAeQBzgHDAbUBowGVAY4BiwGFAXcBXwE7AQ8A4QC2AIwAYQA1AAz/5f+4/4P/Uv82/y7/Jv8P/uv+y/61/qH+hP5g/kH+Lv4j/hL9+P3a/cP9t/21/bb9rv2Z/X39ZP1Y/Vn9X/1j/WP9X/1a/Vn9YP1r/XD9bf1t/Xj9jP2Y/ZX9jP2Q/aP9vf3T/eX99/4D/gX+AP38/fr97v3S/bD9mP2M/Yn9k/28/gz+cP7L/xX/XP+c/6r/Xv7K/kH+E/5E/o7+qv6Q/mn+U/5E/iT97/3G/cf98P4i/jr+Of44/lD+gv6z/s7+1f7d/vP/D/8i/yX/I/8k/y7/PP9N/1z/Z/9o/2T/ZP9r/3H/bf9j/1v/WP9U/0n/O/8v/yX/GP8F/vX+7P7m/t3+z/7B/rH+nv6L/oD+g/6M/or+dv5W/jf+Hf4G/ez90P20/Zj9f/1o/VP9Of0a/Pr83/zJ/LT8mvx+/GX8TPwz/Bn8BPvz++H7y/u3+6n7ovua+4/7g/t4+2/7ZPtU+0T7Nfsj+wv67/rT+rf6mvp6+lv6QPoq+hX6Afns+dX5u/mj+Y75fPlo+U/5M/kZ+P/43/i4+I74Z/hF+CD39/fO96j3hPdh9zv3Ffbw9sj2nfZz9k/2MPYR9e/1zPWr9Y31bvVL9ST0+vTR9Kz0ivRs9E/0NPQa8/7z3PO0843zbfNS8zbzFfLy8tDyrvKL8mjyS/I28iDyAfHb8bTxkPFr8UXxIPEB8ODwtvCH8F7wQPAn8Arv6O/G76jvjO9w71zvVO9T70vvOO8g7wvu+O7m7tbuzO7K7srux+7C7r3uuu617rDuq+6o7qTuoe6h7qPuo+6f7p7upu627snu2u7t7wDvD+8V7xfvJe9D72Xve++C74XvkO+h76nvou+Z76Tv2PAy8Jjw6/Eg8UvxivHg8ifyNfIH8crxtvHZ8hryVPJ58pPytfLo8ybzYvOQ86zzw/Po9Cn0g/Tp9U71rvYE9kf2cvaN9qb2xPbY9tD2qvZ79mL2bfaS9r/26vcS9zb3TPdP90b3R/di94/3s/e095D3Wfci9vf22fbE9rX2pvaR9nL2SfYb9ev1vfWS9Wf1OfUI9Nz0v/S49MP01/Ts9QD1GPU09VH1avV89Yj1kfWd9bD1xvXd9fT2DPYj9jT2PPY/9kj2WPZr9nj2fvaB9oH2efZh9jT17PWI9Qr0ifQo8/30B/Qx9GT0mfTP9Qj1PfVi9W/1Z/Vb9Vz1a/V29Wn1RvUi9RD1CvT+9OX0y/S49KX0jfR39G30aPRI8/nziPMe8tLyofJ38kryGPHj8anxbPEn8MHwHu9M7ozuI+4b7j3uS+447h/uFe4M7fTtzu2o7YjtX+0m7Ofsr+x87EXsCOvU67Xrquuq663rseu468Hrzuvk7AHsIuxE7GvsmezL7PftFu0u7UbtYe177ZPtqO267crt2u3s7gHuFO4h7inuMu487kbuUe5b7mbucO517nfufO6J7p/uu+7Z7vbvFO8071bve++f78Pv6PAR8D3wafCV8MPw9vEs8WDxkvHD8fnyMPJo8qDy2/Ma81zzn/Pl9Cz0cvS29Pj1PvWM9eD2M/aG9tz3NveS9+/4Svim+QL5XPmz+gj6YPq7+xn7efvb/D/8pP0I/Wr9zf4w/pD+6v9C/6EACQB4AOIBPQGMAdgCIwJqAqYC1wMFAzYDagOfA9EEAQQyBGMEkgS/BO0FHAVMBXYFnQXCBekGEwY+BmoGmgbMBvwHKQdVB4IHsAfaCAAIJAhPCH4IqwjRCPMJFQk6CV8JhAmrCdUJ/goiCkIKYQqBCpwKsAq9CsYKywrJCr0KrAqaCooKggqHCpgKqwq1CrgKvwrRCukK+wsACv4K/Ar6CvgK+Qr+CwILBAsLCx8LQAthC3sLkQuuC84L6QwADB0MQQxgDHMMiAywDOMNBw0hDWsOEg7zD6UP2g+7D7cQCRBzEIIQBw9BDpMONA4gDkwOwA98EE8Q6REOEMcQVxAHD/UQDBAfEBUP9w/hD+UP9Q/9D/cP8w/+EBQQHRAGD9IPlw9vD2APXg9ZD0sPOQ8uDywPKw8pDycPLA83D0cPVw9lD2gPVQ8tDvkOxQ6RDlkOHw3zDdoNxA2aDVUNCAzFDIsMTQwJC4ULZAtMCy0LAwrXCrIKmQqQCp0KwgrtCwgLDQsHCwcLCAr/CuUKxgqyCq4Kswq3CrQKpQqTCpAKrAreCwgLDgr3CuQK7gsOCyoLNAsxCyoLIgsZCxELEQsZCyELIwsnCzULTgttC4cLnAutC7oLxQvMC9IL3wv3DBcMMAwxDBUL5gu8C6ELkQt/C2kLUQs4CxcK5QqkCl0KHwnxCdMJvAmhCXsJTAkdCPUI0QiwCJUIiAiJCJAIkgiMCH4IZQg+CA4H3QeyB4MHRAb5BrMGhQZrBlgGPwYeBf4F4AXHBbcFtQXEBd0F9wYJBhIGEwYJBfQF1gW7Ba8FtwXGBdAFzwXKBb0FlAVCBNwEkwR8BG4ELgPMA7QEUgWeBwQH5AgLB8MHbAclBtQGaQX/BbYFjwVxBUsFHATqBLEEcAQyBAMD4QO9A4oDTQMOAtMClQJRAgsByAGFAT4A8ACiAFoAHP/o/7X/ev8u/tL+b/4Q/bf9X/0A/J38O/ve+4T7JPq9+k/55fmD+Sn41Ph/+Cf3zPdr9wz2wfai9rj2/vdj99r4Xvjn+Vj5lPmV+Xf5Yvlo+YD5lfmi+bT50/n5+hj6Nfpj+rH7Bfsx+xL6u/ph+jL6KfoX+df5b/kE+Lv4nvik+L341/jh+NL4qfhn+AD3Zvai9dr1QfTm9Lj0l/R59GH0TfQy9Azz6fPU88vzyvPe9BD0PfQO8z3x4fBx73DvDu8j72Pvn+/C773vg+8d7qXuNO3K7WLtB+zP7Mbs3ez87RztQe1l7Xztf+197YftoO287dHt3O3Y7bntf+087Qjs4eyr7Fjr9uue61Lq/+qZ6i7py+ls6QvosOhv6ELoE+fh59boHOih6STphOn06sjsCO1U7jjuku6l7tLvRu/t8JjxLPGz8k7zFfP59Mv1WPWS9Y71bvVB9Qr0zfSR9GP0SfRB9Dv0IvPx88TzvvPm9Bj0LvQn9CH0LPQ/9E30XvR39IL0YPQb8+Xz5/QZ9Fb0hvSJ9AbyofBy7kTtFe1C7jrvFu9w74/v4vB08PnxN/FE8VvxnfH58lHymfLc8yjzd/O0887z0PPZ8/f0BfPN80nytfJZ8jvyG/HA8TLwp/BH8BLv+e/+8CfwbvDF8SXxlvIW8pTzAvNh87j0B/RL9Ij0y/UZ9Wz1ufYE9lT2qPbz9zD3Z/ed98/38/gP+C74VviG+L35Bfll+db6Sfq/+z77wPwp/Gj8i/y2/QH9ZP3J/ib+gP7c/zj/lf/3AGYA2wFQAb8CJwKGAtMDEQNQA58D+ARMBJME1AUeBXEFxwYcBnUG1Qc4B5QH5ggwCHcIuwj8CTsJegm8CgMKUwqtCwgLVAuFC58LsgvPC/MMEgwWC/8L2gu6C6ELfws5CsYKNQmyCW8JjAn/CpwLNwu6DC8MoA0ADTkNSw1WDXQNpg3VDfUOEA4tDkUOUw5iDokOxw8EDyoPQg9iD4sPqQ+3D8UP6RAeEFAQdRCVELcQ0RDTEK8QVQ+/DxoO1A9OEF8RNhDnDzkM5QsCCjkKcAsfC8kMOwxvDHkMbwxmDF4MRQwSC9QLngtxCzkK8AqlCm0KPwoFCbMJXQkbCPAIywihCHcIWwhLCDUIDAfPB4sHSwcQBtMGmQZqBkcGHwXhBY4FPQUEBOQEyASfBGwEPwQcA/wD2QOzA5QDegNhA0UDJAL7AsMCfgI7AgwB8gHkAdYBxAG0AagBnwGWAYoBdwFXASoA+QDNAKUAfQBRACf//v/U/6b/fv9m/13/Uv83/xD+7f7W/sP+q/6M/m3+V/5H/jj+Iv4F/ef9zv3B/b/9u/2p/Yv9bv1f/Vv9Wv1X/VT9Uf1S/Vf9Yv1v/Xj9dv1v/W/9df17/Xv9ff2L/aX9wv3a/fL+DP4g/iX+Hv4U/gr9+v3f/cT9tf2z/bP9tv3N/gP+Sv6S/t//Rf+6AAf/9P+Q/y7/Ff86/1T/Of8B/uP+5/7e/qH+QP30/eH9+v4W/iL+Kv5C/nH+qP7R/uX+7f76/xT/Mv9J/1P/Vf9Y/1//b/+G/6H/tf+7/7f/tf+7/8T/xf+9/7P/qv+g/5L/g/94/3H/Zv9U/0H/NP8t/yj/IP8U/wT+7/7X/sX+vv6+/rr+q/6U/nz+Zv5O/jb+HP4B/eT9xv2r/Zb9gP1j/UH9Iv0I/PD81Py2/Jn8f/xl/Ez8OPwp/Br8Bvvw+9370PvF+7b7p/uc+5P7hvtz+1/7TPs5+yH7A/rj+sX6qPqO+nb6YPpN+jn6JPoP+fn54fnI+a/5mPmC+Wr5T/k0+Rj49/jQ+Kb4fvhZ+DP4DPfm98P3n/d591H3K/cF9t32tPaN9mz2TfYr9gT13/W99Z71ffVX9S/1BvTe9Lj0lfR29Fr0P/Qj9Abz5PO+85fzc/NU8zTzEvLw8tDysvKR8nDyVfI/8ijyCPHh8brxlvF08VDxLPEK8OXwuPCJ8GHwQ/Ao8Abv4e/A76Tvie9s71bvSu9E7zrvJe8N7vru7O7h7tfu0e7P7svuxe6+7rfur+6m7p7um+6Y7pPujO6J7ovujO6J7onuke6h7rDuu+7J7t/u9e7+7vru+u8M7yrvRe9W72jvgu+a75vve+9P70bvh/AR8LDxIPFD8TjxQPGD8enyNvJB8hnx8PHq8gryOfJj8oXyqPLX8xPzUfOA85rzrfPS9Bv0gfTx9Vz1u/YQ9lf2ivao9rz2zvba9tT2tfaK9m32c/aY9sv2+vcg90L3W/dn92b3afeA96f3xvfD95z3ZPcz9w/28vbW9rn2mvZ39k32IPXy9cj1oPV39Ur1HPTy9NP0xPTH9NX06PUA9Rz1OfVS9WP1bfV19X71h/WS9aT1v/Xf9gD2HPYx9j/2SPZR9l/2cvaC9oj2g/Z29mT2S/Yk9ev1nfU29Lv0QfPh87PzufPj9CD0Y/Sm9Ob1H/VM9Wb1cfV69ZH1tfXR9cv1pvV89WH1UvU89Rf08fTU9Lf0kPRq9Fj0V/RF9AHzlvMt8uPyt/KU8mzyPfID8cLxhPFN8P/wcu+j7tLuUe467lnuZ+5S7jbuKu4j7grt3+2z7YztX+0h7ODsqex+7FDsGuvm68Lrr+un66frrOu0677rzevl7APsIuw+7F3sh+y67OjtC+0l7T/tW+107Ybtku2c7afttO3D7dXt5u3x7fXt+O387gTuDu4a7ifuMu437jnuPe5K7l/ueO6U7rDuz+7y7xnvP+9h74PvqO/U8APwL/BX8ILwtvDw8SnxXfGP8cTx/fI48nXytfL38zjzdvOz8/T0OvSC9Mr1E/Vh9bP2B/Zb9rD3CPdl98T4I/iB+Nz5NfmK+d76MvqK+ub7R/up/Av8bvzS/Tf9nP3+/lz+tv8U/3r/5wBVALkBDwFbAaMB6AInAlsChwKzAuUDGwNPA4ADrwPgBBIEQgRuBJkExgTzBR4FRwVvBZkFxQXuBhcGRAZ2BqkG1wcBBysHWAeGB64H0gf6CCkIXAiHCKgIxgjoCQ8JOAlhCYwJtgnfCgQKJgpFCmAKdgqFCowKiwqECnoKcgpuCmoKZQplCm0KewqJCpQKnwquCr0KxQrHCskKzQrPCs0KygrLCs8K0wrcCvALDAspC0ALVgtzC5ELrAvEC+QMDAwuDEkMaQycDNQM+g0XDWQOBw7aD4gP8RBVEQ0SChLHEr8R5hCuD6AO/g7KDv0PjxBXEP0RLhDdEEwP2A+1D9QQARAND+0PuQ+WD5MPow+sD6MPlA+TD58PqA+dD30PWA8+DzIPKw8aDv4O4A7KDr4OuQ60DrAOsw7ADtUO7A78DvwO6A7DDpUOZQ4xDfQNsQ15DVQNOg0XDOMMpgxsDDQL+Au5C0kLNAsoCxQK9QrPCqgKiQp2CnsKmgrICu0K/gsDCwkLDgsHCu4K0Aq+Cr4KygrTCs8KvAqkCp0KtwrsCx4LMQsjCxALDwsgCy8LMAsnCx8LGQsUCw8LDwsVCxsLHQsgCykLOgtQC2ULeAuJC5kLpQuuC7YLwQvTC+wMBAwLC/kL1wu4C6kLpgueC4YLYws9CxcK6QqvCmwKKgn1CdEJtwmcCXcJSgkdCPUI0gixCJIIfQhyCG4IaghlCFoIQggXB98HpgdzBz4G/AawBm0GRQY1BisGGwYEBe0F2QXFBbMFqwW0BcsF5AXzBfYF8gXnBdMFswWTBYQFjwWmBbAFqAWeBZ0FlAVjBQcEqARpBEMEEQPUA9QEXwVtBpIHVAeOB3QHRgcRBsQGXgX9Bb4FmAV1BUcFFQTmBLQEegRABBID8APOA58DZAMoAusCrAJmAh8B2gGWAVEBBQC2AGkAI//o/7L/d/8r/tD+cP4V/b79Zf0C/Jr8NfvW+3r7Gfqw+kT52/l8+ST4zfhx+Ar3m/cp9sH2cvZJ9kr2bvas9wH3bffn+FX4mvix+LP4wfjl+Qz5HfkW+Qn5BPkD+Pn47fj3+S35gPnE+dH5rfmB+XL5evl2+U75CPjD+JT4e/hx+HH4d/h3+GT4PfgE97H3MfaC9cH1HfSu9Gz0PvQa8//z5PO+85DzcfNz84zzp/O889Tz3POW8snxhvA070fu7e8B7z7vde+O74DvSO717qHuV+4K7a/tV+0h7RvtMe1H7Vntcu2R7aXtou2X7ZztuO3Y7e3t8u3p7c7tnu1j7Szs9uyx7FLr5+uF6y3q0epu6g7pt+li6QLooehR6BDny+eC51vneOfL6CDoZejO6Zfqs+vG7Hbsvuzk7Sftiu3m7ibuaO7o787xC/Je84X0YvT/9Wj1lfV49SD0u/R39GP0dPSR9KL0jvRX9CP0H/RJ9G70ZPQ99C/0SPRd9FD0RPRl9Jr0i/QM81by0vKr8rryxfKk8iTxBO9G7X7sgey17avum+8d72fv1fBs8OLxCPD/8QvxSfGl8gLyWfKt8v7zQ/Nx84nzmfOz89Xz2/Og8yzyt/J38mvyWPIP8ZvxJ/DT8J/wh/CR8MHxCvFX8ajyCfJ68uzzTfOe8+r0NvR79L31A/VT9af19fY99of20vcV90/3hPe69+r4D/gr+En4cfif+Nb5IPmB+fH6YvrS+0n7wfwl/Gb8kfzG/Rn9ff3f/jf+jv7u/1X/vAAmAJQBBQF1AeICTwK2AwwDSwN9A7gEBQReBLYFBgVTBaAF8AZBBpQG6wdDB5wH8ghFCJII2QkaCVoJnAnmCjsKmAr2C0cLfwuhC7gL1Av4DBgMKQwkDA0L6wvDC48LSgrvCn8KBwmdCWgJigoHCr0LdgwRDI8M/A1UDYINhA11DXcNlA3CDfQOJw5UDm4Ocg54DpwO2g8SDzEPRg9sD58PxQ/SD9wP+xAtEFwQgBCkEMoQ5RDnEMoQhhALD3YPNA+/EQsSRhJZENAOSAvxCqwKjQsXC7wMLgxiDG0McQyEDJ4MngxwDCQL3QuoC3kLQQsCCscKjApFCe0JlAlJCQ4I2wirCIUIbwhkCFEIKQfqB6AHVgcUBtoGrgaXBo8GfwZMBfIFigU5BQsE7wTNBJ8EcQRJBCUD/QPTA6wDjQNxA1UDNwMSAuECpgJrAjwCGwIDAe4B2wHKAbkBpQGRAYMBdQFdATUBAwDUAK0AiQBiADgAD//q/8j/qv+T/4H/av9M/yr/Df73/uT+z/63/p3+gP5m/lT+Sf47/iH9+/3Z/cb9vP2u/Zb9fP1q/WD9Vv1K/UP9Q/1J/VD9Wv1m/W79bP1h/Vj9Wv1k/XH9f/2T/av9wv3W/e3+Cf4i/i7+LP4i/hf+Bv3w/d392f3f/eD92f3c/fL+Ev4z/mT+xv9V/9gAEP/7/9L/xP/B/5v/Vv8w/1f/ov+0/1v+wf5C/g7+D/4Z/hz+LP5W/pL+y/7y/wn/GP8m/zn/Uv9s/4L/jv+R/5X/of+4/9X/7f/6//z//gAFAA4AEAAJ//7/9f/s/9//0f/H/8D/uP+r/5v/jP+A/3P/Zv9Z/0r/Nv8c/wT+9v7x/u7+5v7Z/sf+sv6b/oT+b/5Z/jz+Gf32/dv9wv2l/YP9Yv1F/Sr9Dfzt/M/8tPya/IH8bPxd/FD8Pfwm/A/7+/vq+9f7xPu2+6r7nfuL+3b7YvtP+zn7HPr8+t36wfqo+pL6f/pt+lr6RPou+hj6Avnq+c/5tPma+YD5ZflI+Sr5Cfjl+L74l/hw+En4JPgB9973ufeR92j3Qfca9vL2yfak9oT2ZfZA9hf17vXK9aj1gvVa9TL1DvTq9MX0ofSB9GT0SPQs9A7z7/PL86TzffNZ8zfzFfL08tXyuPKZ8nnyXPJD8inyBvHf8bjxlvF28VbxM/EO8OTwtfCG8GHwRvAr8Ajv4O+976Hvh+9t71XvRO837yfvE+7/7vDu5u7d7tbu0e7O7sfuvu617qvuoO6T7oruiO6H7oHueO5z7nbuee547njuf+6O7pvuo+6u7sXu3u7q7uXu3u7n7wDvGu8v70TvYu9+74HvW+8g7wTvP+/a8KHxO/Fu8UrxH/E18ZXyCvJU8lryM/IL8f3yD/I18l/yivK68vTzMvNm84jzoPPD9AX0ZfTU9UL1qPYF9lj2l/a89sz20vbU9s/2uvaa9oH2hPam9tf3A/cm90b3ZPd594H3iPee98T34ffb96/3c/dA9x33Avbk9sH2mPZp9jj2CPXe9bn1lPVq9Tv1D/Ts9Nj01PTe9PD1CPUk9UL1WfVg9Vj1TfVN9Vv1b/WG9Z/1v/Xi9gH2FfYg9in2MvY+9k32W/Zl9mT2V/ZC9ij2CfXf9af1YPUL9Kr0RvPu87TzoPOx8930GPRY9Jn02/Ub9VH1ePWW9bz17fYa9if2EPXo9cb1qfWD9VH1IfT59ND0m/Rp9FT0WfRQ9BXzrfND8vry0vK28pTyY/Ig8dTxlPFr8Tjwwe/w7wXuY+457ljub+5d7jzuLu4s7hvt8u3C7ZTtYe0j7OHsqex+7FTsJuv669brvuuv66nrr+u768br0uvl7ADsHuw57Fbsfuyv7N3tAe0e7TvtWO1v7XvtgO2F7Y3tl+2i7a7tuu3E7crtzO3M7c3t0e3Z7eXt8e367gDuCO4U7iXuO+5T7m3ujO6v7tTu+e8c7z7vZu+V78bv9fAf8ErwfPCy8OjxHPFR8Yrxx/IG8kbyiPLM8w3zSfOC87/0BPRO9Jr05/U19Yf12/Yw9ob23vc595n3+fhW+LD5Bvlb+a/6BPpd+rz7Hvt/+978PPyf/Qf9bP3K/iT+gP7n/1X/xAAtAIsA4AEsAXEBrQHgAgoCNAJiApgCzwMEAzYDZgOYA8kD9QQeBEYEcAScBMgE8gUeBUsFeQWkBcoF8wYjBlgGiQazBtkHBAc1B2QHjAeyB90IDQg5CFsIdgiVCLsI5QkOCTgJZQmSCbwJ3gn8ChkKNApKClUKUgpGCjsKOAo9CkEKQAo/CkYKVwprCn0KigqTCpgKmAqWCpkKnwqjCqEKnQqdCqAKpQqtCr0K0wrsCwMLHQs9C14LeguUC7QL3gwGDCkMUgyKDMMM7A0UDWQN8w6cDysPqRBkEY8S4RO3E6ISwRGdEKsQDQ+9D8IQIxCzERIQ9hBwD9oPhw+HD7EP0A/JD6EPcA9SD1EPYw9xD2wPWg9OD1APWQ9cD1IPPQ8jDwgO7A7ODq8Okg57Dm0OZQ5eDlYOUw5aDmsOgA6ODo8OgA5kDj8OEg3cDZoNTw0KDNUMsAyODGYMOAwIC9cLowtwCxELBgsCCvcK4Aq/CpsKeApdClMKYwqKCrUK1QroCvYLAAr/Cu8K2grRCtoK7gr7CvUK3Qq/CrAKwQrvCyQLSAtPC0ULOws5CzoLNwsvCyQLGQsPCwkLCAsNCxMLGAseCykLNwtCC0sLUwteC2oLdQt+C4YLjwudC7MLzQvgC+AL0QvCC8ILzAvNC7ULhwtUCyUK+QrECoUKQgoICdwJuQmVCW4JRQkdCPcI0girCIcIaghYCE4ISghGCDsIHwfwB7MHdQc8BwAGuQZtBi0GCgX/BfwF9AXnBdwF1AXJBbkFqwWsBb0F0wXhBeAF1gXGBbAFjwVuBV4FagWDBZEFigWABYYFkgWCBUME6gSaBGMENgQVBCIEhQU0BfIGgAbPBvoHEQcJBtAGdgYfBeEFsQV6BTsFAQTUBKwEfwRQBCgECQPoA7sDhANHAwgCxwKCAjoB9AGvAWgBHgDQAIAANP/u/67/a/8f/sv+df4h/cz9bv0G/Jr8MvvP+2z7B/qh+jr51flz+Rb4uvhY9+r3cPb29oz2PvYP9fr1+/YT9kj2nvcL93X3w/fw+A/4N/hr+Jr4r/in+I74cPhM+CH39vfh9+/4G/hS+IT4rvjX+Pr5Bvjt+Lb4efhL+DH4HfgM+AL4BPgG9/b3zfeR90X24PZb9cH1LPSw9E/0BvPV87jzoPN981XzR/Nn85/zxfPD86Tzb/MH8kbxMfAP7zru3e7j7xfvT+9u72bvN+717rbuge5B7e7tnO1s7WvthO2b7ajttu3G7crtu+2q7a3txu3i7e7t6+3i7dTtuO2N7VbtEuy77E7r2etv6xDqtOpY6gTpuOln6QXon+hK6Afnwud05zTnI+c/52nnmOfs6IPpROns6k3qfOqz6wnrXuuD633rjewE7QHuV++08OXx+fMP9Bj00fT99LL0TPQf9D30g/TM9Pv0/PTO9JT0ePR09FX0APOp85nzzfP089/z0fQg9KT0vfP38pXxTPCK8Cvv1+9p7uDuJ+0o7B/rl+vq7ODt5O6W7w3vhfAA8E/wYfBj8Irw3PE/8aDx//Je8rDy6fML8ybzSfN686jztfOF8yHyuvKC8nrydfJL8fzxrPFy8VDxRfFX8YjxyfIG8j3yfPLN8ybzefPE9A70WfSf9OT1LvWD9dj2I/Zl9qj27/c193X3r/fk+A74LfhF+GP4iPi0+Or5NfmY+gb6cfrW+z/7rPwP/Fr8l/zd/Tf9mv33/kz+p/8R/4b//QBuANsBQgGjAgYCcwLpA1IDnAPHA+wEJwR/BOQFQwWRBdUGGgZkBrEG/wdQB6gIBQheCK4I8wk1CXgJwwoXCnYK2QsyC3ALlAutC8wL9QwdDDQMOAwyDCUMCgvQC3AK9gp8ChEJugl4CWAJkwoeCuULrgxODMINIA1tDZkNnA2HDXoNiQ2yDesOKw5jDoIOhw6NDq4O5w8YDzQPTQ97D7MP2Q/jD+gQBRA0EGMQjBC3EOMQ+xD3EN4QqxBDD7QPaQ/0EWYS8BNUEe8PQwyYCvwKqAsjC8sMQgx4DI0MqAzYDQsNFQzjDIgMMAv0C8kLmQtaCxEKyAp+CjIJ4gmQCUII/gjLCKoIlQh/CF8IMwf6B7cHcAcsBvMG0AbIBtQG1wawBlYF4wWBBUcFKAUIBNsEqQR7BFEEJQP2A8oDpgOHA2oDSwMnAvwCywKaAm0CRgIjAgIB6QHVAb8BogGHAXYBbQFeATsBCQDYALAAkABvAEsAJwAJ//H/2//B/6H/fv9d/0X/Mv8c/wT+7v7c/sf+qP6D/mz+a/5x/mL+Nf3+/df9xf25/ab9jv16/Wn9V/1H/UD9Rf1O/VP9VP1X/Vz9Wv1Q/Uf9Sf1Z/W/9hf2a/a/9wv3S/eT9+/4T/iL+J/4n/iX+Hv4T/gr+C/4P/gr9/f31/fv+BP4G/hP+U/7Q/1//wf/h/9r/xv+a/07/DP8i/6QAPQBuAAP/Qv6b/kn+Mv4r/ir+P/5w/qv+3v8G/yb/Pf9K/1X/bf+S/7X/yP/K/8n/0v/m//4AFAAlADIAQABMAFUAVABMAEIAOgA1AC4AIgAWAAoAAP/2/+r/3P/L/7b/o/+V/4v/ff9n/1H/Qv88/zz/N/8s/xv/Bf7t/tb+wf6s/o/+a/5D/iD+Af3h/cD9n/2C/Wf9Sf0o/Qn87vzV/Ln8oPyM/Hv8Z/xO/DT8HfwK+/j75PvT+8X7t/um+5L7ffto+1D7NfsY+vz64vrH+q76mfqH+nX6X/pG+i76GPoB+eb5yfms+ZD5c/lU+TT5E/jz+NL4sPiM+Gf4Qvgf9/r30veo93/3WPcz9wr24fa79pn2ePZR9ib1+/XV9a71hfVa9TP1EvTx9M30qvSJ9Gz0TvQx9BTz9/PX87HzifNk80LzIfMA8uDywfKi8oLyYvJD8iLx/fHW8bDxj/Fx8VHxMPEL8OHwsvCF8GLwSPAu8Azv4+++76Lviu9z71vvRe8v7xnvBO717uru4e7W7szuxu6/7rburO6i7pjujO597nPuce5w7mruYO5e7mTubO5t7mzuce5+7oruku6c7q/uxe7R7tDuze7X7u3vBe8X7yjvQO9a72XvT+8d7vXvD++L8EzxA/Fl8WLxM/Ek8Vzxw/Ik8lLySfIf8fbx5/H58iLyVPKK8sbzBvND83PzlfO28+j0N/Se9Q71fPXj9kH2jva/9tL2z/bI9sP2vfau9qD2ova89uX3Dfcx91P3c/eK95T3nfe39+H4Aff798r3hvdK9yH3B/bx9tX2rPZ49j32CPXe9br1lPVp9T31F/T99PH08/UC9Rn1M/VM9Vz1XPVH9Sf1DvUL9SD1QfVl9Yj1rfXQ9ef18PXx9fT1/PYG9g72FfYb9hz2E/YD9e711fW09Yf1UPUS9M30gvQ18+/zv/Or87PzzfP19Cv0dfTS9TH1fvW19eL2FfZJ9mb2XvY99hT17PW+9Yv1W/Uy9QP0x/SQ9Hb0ePRt9DHzyfNg8xvy+fLj8sHyhvIv8cvxgPFj8VDw9/Aw7zXue+5C7mHufe5q7kLuMe427jPuEe3b7aHtZe0n7Onss+yE7FbsKOv/6+DryOu2667rtOvC68zr0+vd6/PsEuwz7FXsfuys7Nbs9+0S7S3tR+1b7WXta+1y7Xvtgu2G7Yjtje2T7Zvtn+2f7Zztmu2d7abtsu297cft0+3g7e7t/+4T7i3uSu5q7ozuse7X7v/vKe9X74fvuO/o8BbwRvB48Kvw3/EY8VXxlfHU8hPyU/KW8tjzF/NU85Pz1vQf9G30vfUO9WD1s/YJ9mD2uPcR9233zPgo+H/40/kn+X752Po2+pf6+/ta+7T8D/xy/Nr9Pf2X/ez+S/66/y//ngAAAFcAqgD3ATgBaQGPAbMB3wIUAk4ChwK8Au8DIQNSA4ADqAPOA/QEHgRKBHcEowTPBP0FLQVaBYEFpwXVBgoGPgZpBo0GtAbmBxkHRgdrB5EHvAfkCAUIHwg+CGUIkAi7COQJEQlBCW0JkQmuCcoJ6AoEChQKFgoLCf8J/AoCCgoKDwoUCiEKOQpUCmgKcwp5CnsKegp3CnUKeAp5CngKdQp1CnYKeAp8CogKnAq0Cs0K7AsSCzcLVgtyC5MLvQvqDBUMRQx+DLYM5g0dDXkN/Q6ADt4PMg/GELoRvhJSEj4RwhFGEPEQpBBFD/kP8hAlEEUQGw+6D2gPVA9tD4sPkQ+DD2oPUA8+Dz0PSg9YD1kPTA88DzMPMg82DzYPLA8TDuwOvw6XDnUOVw49DisOHw4XDg0OAw4BDggOEg4XDhQOCg37DeMNwA2PDVANBwy8DHoMRwwfC/kLzwuiC3ULTAsoCtIK0grVCs8KugqZCnYKVgo6CicKKApFCnIKngq/CtYK6Ar0CvUK8Qr1CwcLHgspCyALBgroCtUK1gryCyALTwtsC28LYQtTC0wLTAtJCzsLJQsPCwMLAwsJCw4LFQshCzALPAs9CzULKwspCy0LNAs7C0ILTAteC3kLnAu8C84L0QvSC+AL9gwBC+0LvAt/C0YLEgrZCpkKWQogCfAJwgmTCWYJQAkeCPwI1AinCH0IWghCCDUILwgqCBwH/AfJB4wHTwcSBtAGgwY2BfoF2QXQBdAFzAXHBcUFxwXFBbgFqAWfBaUFtwXFBccFvAWpBY4FbAVMBTsFQQVUBWMFZgVmBXMFhwWMBWwFKgTfBJ0EcARfBHMErwUFBV8FuAYZBoUG3wcCBt8GkgZBBgAFwgV4BSoE6gTABKEEgQReBD0EIAQCA9gDoANgAx4C3QKcAloCFgHNAYIBNgDpAJoASf/6/6//Zf8b/tH+hv43/d79ev0O/KL8OPvO+2L69/qS+jL50Plq+QH4mPgt97n3PvbG9mL2GPXn9cP1qvWk9b71/fZY9rn3C/dJ9333tPft+Bz4N/g5+CL39Pez9233MvcH9ur22/br9zH3rvg8+J/4svh5+CH32Pey96L3kvd592b3Zfdw93L3Wfcj9tn2g/Yh9bH1OfS99Ejz5/Oq85LzifN682rzdPOm8+Pz+PPL83DzAfJ/8dHw7u/87znuzu687ubvJu9X717vOu7/7sjumO5g7hftz+2l7aftyO3u7gnuFu4R7fft0u237bXtw+3M7cftvu2+7cLtuu2a7WPtFuyz7D3rxOtY6v3qp+pT6gPptelc6PPohugr5+fnpOdU5wPmy+a15rjmy+b550vnqOfs6A7oKuhm6L/pDekt6SvpROm36pHrpey17bbu3PBQ8eXzH/Oj84vzT/NS85/0DvR79Nv1GvUk9P30wPRq8+DzKPKb8pDy8PNF81HzZ/P39Mv1AfPw8ejv4e6F7bftAuxC66brRur36qnqlusO7AjtIu4D7pvvBe9J72Xvb++W7+/wZPDR8TTxmvID8lfyh/Ki8sHy9PM183Hzi/Nt8xjys/Jx8mbydPJy8lTyLvIW8g/yFvIt8lfyivK08tHy7vMZ81TzmPPg9Cr0c/S69QL1U/Ws9gD2RPZ99rn3APdO95j31vgI+C34Sfhk+IT4qPjR+QX5T/mv+hr6f/re+z/7pvwJ/F78qvz6/Vb9tv4Q/mf+yf89/78AQAC4ASEBewHLAiQClQMeA6MD/wQpBDsEYQSwBRsFgQXPBgsGRgaJBtIHHQdtB8YIIwh7CMcJDQlVCaMJ9gpOCqsLCAtUC4ULnwu4C+IMFgw/DFAMTwxJDD0MFAu6Cy4KkAoKCbAJfQlkCW8JuQpSCx0L4AxvDMoNDg1MDXkNiA1/DXYNgA2gDdIODw5KDnIOhA6TDrUO5g8UDzYPWg+ND8MP4w/rD/MQDxA5EGQQkBDGEPcRCxECEO8Q0BB6D+YPfw/xEWsTJRPIEoQPyAztCyYKyQtWDBcMngzdDPwNIw1ZDYINeQ0zDMsMbAwvDAcL2QuWC0QK9Qq2CoEKQwnwCZEJQAkNCPAI0winCHMIRwgkCAAHzQeLB0cHEAb0BvAG7AbLBn0GGAXBBY4FcQVQBR4E5ASwBIIEVAQiA/IDyAOjA4ADXgM6AxMC6gLDAp4CeQJQAicCAwHkAcQBogGEAXQBbwFkAUYBFgDjALsAnQCDAGcATAA1ACMADv/x/8f/nP99/23/YP9I/yX/B/72/uf+yv6i/ob+hv6T/or+XP4d/e/92v3P/b79pf2M/Xf9Y/1U/VD9Wf1i/WD9V/1R/VL9U/1P/Uj9S/1b/XH9h/2b/bD9xP3V/eP98v4C/hD+G/4m/jL+O/4+/j/+Qf5B/jf+Jf4Z/hv+Hv4V/gv+Jf52/ub/Qv9s/2v/Uf8e/t7+wv8J/7IAXQCSACn/bf7M/nf+V/5J/kf+X/6L/rn+3f7//yT/Qv9Q/13/fP+v/93/7//s/+r/+gAUAC0APwBQAGUAegCIAI4AjACHAIAAewB3AHQAbQBjAFQAQwAyACQAFgAF//L/3//T/8//yf+8/6r/nf+Z/5n/k/+G/3L/XP9C/yf/C/7w/tP+sv6N/mj+RP4h/f392/2//aP9hP1i/UP9KP0P/PT81/y8/KT8jPxv/FL8Ovwp/Br8CPv1++T71fvE+677lvt9+2P7Sfsw+xr7A/ro+sr6r/qa+of6cfpW+jr6IfoJ+e750fm0+Zj5e/lb+Tr5G/j/+OX4yfip+If4Y/g9+BT36fe995T3b/dL9yT2+/bT9q72ifZg9jP2CPXf9bf1jPVh9Tv1GPT39NP0r/SP9HL0U/Qz9BXz+vPd87rzk/Nv80/zMfMQ8u3yzPKr8oryZvJA8hnx8vHL8afxhfFl8UXxJfED8N7ws/CJ8GXwSfAt8Azv5u/D76fvkO9772LvR+8p7w7u+e7s7uTu2u7M7r7utO6p7p3uke6I7oDudu5o7l7uWu5X7k/uRu5G7lHuXe5i7mHuZO5v7nrug+6L7pjup+6x7rbuve7N7uPu+O8H7xPvJO85703vT+807wru/O8378bwe/EP8VfxXfFS8V3xi/HL8gXyI/Ic8fvx2fHO8eXyFPJQ8pDy1PMZ81bzgvOk8830D/Rw9OT1V/XB9iH2dfax9sz2yfa79rX2u/bB9sP2x/bZ9vj3IPdJ92/3jfec96H3rffO9/34HvgW9+P3mvdX9yn3EvcI9vv22vag9lr2GfXo9cD1mPVs9UX1K/Uf9R71KPU79VL1ZPVm9VP1MPUC9Nf0u/S49M307/UX9UH1bPWP9aT1qvWq9az1r/Wv9az1r/W69cj10PXP9cn1v/Wv9ZP1b/VF9Rf03/Sd9Fj0GvPu89Lzw/PD89z0HfSH9Qb1efXN9gb2NvZj9n/2fPZb9i32AvXa9bX1kvVw9UT1CvTR9K70n/SG9Ebz5POH803zNvMo8wbyufI+8bLxTfEz8TvxBvBY72TupO5m7obup+6T7mbuT+5V7lfuN+347a/taO0o7PHsweyS7F3sJ+v7697ry+u667Hrs+u968XryevR6+XsBuwr7FLse+ym7Mvs6Oz+7RPtJ+027UHtS+1Y7WPtae1o7WPtX+1f7WLtZO1k7WHtX+1i7WrtdO197Yjtl+2n7bbtxe3Y7fHuDu4s7k3ucu6d7snu9O8d70nveO+r797wD/BA8HPwqvDm8SXxY/Gg8d3yHfJf8qLy5/Mq82zzr/P29ET0l/Tr9T31kPXk9jz2kvbp90L3nff4+E/4o/j5+VT5sfoR+nT61fsy+4r75PxH/K79D/1k/bj+Gv6Q/wn/df/PAB8AbgC4APIBGAE2AVkBjAHKAgkCQgJ0AqYC2AMHAzMDWgOBA6gD0gP/BC0EWgSFBLEE3wUOBTkFYAWLBb0F8QYeBkIGZwaUBscG9QcaBz0HYweJB6oHxgfoCBIIQQhuCJcIwgjwCRwJQAleCXkJlgmxCcYJzwnMCcUJwgnHCdIJ3gnsCgEKHAo2CkkKVQpdCmQKZwpkCl8KWwpYClQKUQpOCkwKSwpNClcKawqFCqQKxwryCx0LQQthC4ILqwvZDAkMPgx3DK8M4w0kDYcOBQ5xDqYOtg7aDy4PiA+rD5wPoA/iEDUQPg/dD1QO/g7xDv8O/A7xDv8PKw9YD2oPZg9hD2APWg9OD0QPSQ9XD2EPXw9SD0APMA8nDyYPJA8TDu0Oug6HDlsOMw4NDe4N3A3SDcgNvQ20DbANrA2iDZYNjg2LDYMNbg1JDRcM1wyODEYMCQvZC60LfQtJCxoK9QreCo0KlAqeCpsKggpaCjUKHAoMCf4J+woQCjwKbQqUCrAKzArpCwALDwsfCzcLTwtXC0wLNQsgCxALBQsICyELTQt1C4QLeAtlC10LZAtnC1gLOQsaCwkLCQsPCxMLFwsgCy0LNAspCxAK+ArrCuwK8Qr1CvoLCAsiC0YLcguaC7gLygvZC/AMDgwjDBsL8gu1C3ALKwrkCp4KYgoxCgQJ0QmZCWYJQAkjCQII2QirCH8IWAg6CCUIGggQB/wH1gegB2YHKwbuBqgGWwYQBdkFvAW1BbUFtAWxBbIFtwW5BbAFngWMBYgFkwWjBasFpQWPBW8FTQUwBR4FGQUeBSkFOAVLBWEFeAWFBX8FXQUiBNwEpASPBKAExATkBQIFOgWkBjEGrAbhBsoGiAZCBgMFwAVvBR4E4AS6BKEEhgRnBEkEMAQVA+8DuAN1Ay8C8AK3An0CPAHxAaABUAECALMAYAAJ/7T/aP8l/ub+o/5T/fP9h/0Z/K38Q/vU+2D67fqE+iP5w/la+Oj4cvf794H3CPaX9jv19/XF9Zz1d/Vd9Vv1e/W39gP2UPaZ9t/3I/df9433qvey95z3Xfb/9p72VPYf9er1tPWp9gL2xPep+Er4b/gq98L3cfdL9zn3Ivb89tb2xfbQ9uT26PbH9oT2L/Xa9Yf1LvTF9FPz7vOt85jznPOj86rzwPPp9Ajz9/Ol8yfyn/IW8Xnwuu/o7y7ute6R7rXu/u8+71PvNu797sLuku5k7jDt++3Y7djt/O427mvuf+5m7ivt6+3D7bXtru2f7YztiO2a7bDtr+2M7Uvs9eyM7BbroutA6vHqqOpZ6gPpqOlF6NfoaugO58Xnguc15uDmluZj5kbmO+ZB5lXmbOZ55oDmlebE5wbnROdw55Hnwugj6Lnpa+of6unsA+2Q707wt/Ft8Y/xk/HK8i/yoPMZ86v0QvSn9LX0b/Ph8wryFPFp8Wvx9/J/8rLy5fOP9Hf0qfNr8RTuvO0m7C/rUupr6cbpmum46dvqDOqQ64Dsou2f7knunO6t7qHur+7+74PwC/B28NXxQvG28g/yPPJT8nXyrPLt8ybzSPM68vTykvJK8kHyZvKP8p/yovKr8r/y1vLt8wrzKvNE81DzVfNj84fzvvQD9Er0kPTW9SP1evXT9h/2WfaJ9sL3DPdg97D37/gd+ED4YviG+K340/j6+Sz5c/nP+jT6l/r2+1r7wvwm/H78zf0e/Xb90f4s/oj+7/9n/+sAcADpAU8BoQHsAkUCvgNWA+sEUgR6BH4EkwTZBUMFrAX7BjMGaQaqBvIHPgePB+YIPwiRCNsJJwl7CdQKLAqBCtcLKwtvC5kLsQvMC/cMKgxUDGoMbwxlDEML8wtvCswKMAm/CYEJaQlsCZIJ8gqRC1EL/wx5DMEM9Q0oDVQNbg12DXkNhA2bDb8N8Q4sDmEOhQ6hDsAO6Q8UDzwPaA+cD8wP6Q/4EAsQKBBIEGcQkxDOEQIRExEHEQIQ/BC5EBoPig/KESoS8hO9EpoP5w0ACzYK6wuaDHoNEQ1VDXYNmA26DcMNmw1IDOUMkwxeDDcMCAvEC3QLLgr/Ct4KrgpZCe4JlQljCUkJIwjjCKAIegh1CHYIXgghB8kHagcbBucGxgahBmUGHgXlBcYFtAWXBWMFJgTuBL0EiwRWBCID8QPGA58DeQNUAy8DCgLpAs4CswKQAmUCNQIFAdcBrwGSAYQBfwFyAVYBKgD7ANIAsQCYAIUAcwBhAE0AMwAR/+b/vf+h/5X/i/9x/0b/H/8J/v3+5v7B/qH+mP6b/o3+Yf4r/gT99P3q/dX9uP2e/Yv9fP1v/Wr9bf1x/Wr9Xf1U/Vb9XP1e/Vv9Xv1r/X/9kv2k/bf9zP3b/eb97/37/gv+HP4t/kH+U/5f/mX+af5o/l/+Tf47/jT+Mv4r/h7+Iv5M/pL+0f7w/vD+5f7X/s/+4P8o/58ABwAV/7r/Lv68/oH+af5d/l/+eP6d/r3+1f7z/xn/Of9L/13/hP++/+z/+P/y//oAGwBFAGIAcgCDAJgAqgCwAK8ArwCzALcAtgCxAK0ArACpAKAAjgB3AGEAUABAAC8AHAAPAAsACgAE//b/6f/k/+P/3v/R/77/qv+T/3b/VP8y/xP+9v7X/rX+kf5p/kL+Hv3+/eH9wf2e/Xz9YP1I/S79EPzy/NX8ufya/Hv8YfxO/D78LPwX/AP78fve+8b7q/uP+3P7WvtE+zH7HvsE+uT6xPqp+pP6e/pg+kL6JfoJ+e350Pm2+Z35hPlm+Ub5KfkQ+Pj43/jD+KT4gPhY+Cz3//fT96v3hfdh9zz3Ffbt9sX2nfZy9kT2GPXv9cf1nvV19U71KfUE9N30ufSZ9Hz0XPQ69Bnz/PPg87/zmvN481nzPPMb8vjy1vK18pLyavI+8hPx6/HF8aHxfvFb8TrxGvD78NrwtfCN8GjwSPAp8Ajv5e/G76zvlu9972HvQe8i7wbu8e7k7tvu0O7B7rHuou6S7oLude5t7mjuYe5W7kvuRu5A7jjuL+4u7jjuRe5O7lDuVO5c7mbub+527n/uiO6R7pzurO6/7tPu4+7y7wDvDu8f7zbvSe9I7ynvA+8D703v2PB58QHxWPF98YDxd/F+8aXx3/IK8g7x7vHL8cTx4vIa8lzyovLq8y3zY/OM87bz9vRV9Mn1O/We9ff2SvaR9rz2w/a29q72ufbO9uH27fb79xX3PPdp95H3p/es9673wffp+Bf4Mfgk9/T3svdz90X3MPcw9zD3FvbX9oT2N/X+9dL1pvV49VX1R/VN9Vz1cPWF9ZP1j/Vt9TH06vSr9H30ZfRg9Gr0g/So9Nb1BPUr9UP1TvVU9Vb1UfVE9Tr1PvVW9Xf1k/Wm9bH1uvW99bb1pvWS9Xb1TvUY9N30p/R39Ev0HfP28+b0AvRT9M71VfXI9hj2S/Zr9nn2bPZI9hv19/Xe9cz1uvWh9X71TfUW9Of0wvSX9Ff0BPO584/ziPOP83rzJPKG8crxQPEW8SDw+PBY73Huuu6B7qbuz+7F7p3uhO6B7njuT+4K7brtbu0r7PXsy+yg7GvsMewA6+Lr0evC67brsOuz67jrvuvK6+Dr/+wi7EXsbOyT7Lfs1Ozq7PvtCO0S7RvtJu0z7T7tQ+1E7T/tOe0x7SrtJe0h7R7tH+0k7S3tM+047ULtU+1q7YDtke2k7b3t2+377h3uQu5s7pjuwe7o7xDvPe9w76Pv1fAG8DvwdfCz8PHxLfFq8arx7vIy8nfyvfME80jzivPO9Bz0cfTH9Rn1afW89hL2afa+9xT3bffI+CH4ePjR+S35jPns+kz6qvsG+1/7uvwd/IH83f0w/Yb97v5n/t//Rf+Z/+UAMABzAKQAwwDdAQYBQQGGAcgCAAIwAmACjwK9AuYDDgM3A18DiQO1A+QEEwQ+BGYEkAS/BO4FGAVBBW4FoAXPBfcGHAZFBnMGnQbABuEHBgctB1AHcAeUB8EH9AgkCE4IdgieCMYI6QkJCSYJQgldCXQJhAmLCYoJiwmTCaMJtwnMCeQJ/goXCioKOApEClAKWApYClIKSwpDCjoKMQopCiUKIgokCi8KRApiCoQKrArbCwwLOQteC4ILqgvVDAQMOgx2DLAM4w0dDW8N1w4vDlEOPQ4VDfINzA2eDYsNyA5TDtkO+g6iDh8Nzw3PDf0ONA5xDr0PCQ87D0wPUA9aD2UPYw9TD0gPTg9iD3UPew9yD1sPPQ8kDx0PIg8eDwMO0A6VDloOIA3oDbkNnA2ODYQNeg1xDWkNXQ1JDTUNLQ0xDTMNJw0LDOMMrwxuDCUL4gurC3kLQQsECs0KpgqSCkoKVApjCmIKQwoRCegJ2wneCeEJ5An4CiAKTwpzCo4KsArcCwYLJgtCC2ILfwuJC38LbwtlC1wLSws4CzgLVgt/C5ULjQt5C3ALeAt+C3ELUwszCyELHgsiCyALGwsYCxkLEwr8CtgKuAqrCq8KuQq9CsIK0QrxCxwLSQtyC5ULswvPC+wMDAwmDCwMEwvcC5ELOwrkCpkKYwo9ChgJ6AmvCXoJUQkvCQoI3wi0CI0IaAhECCMICgf1B9gHqwd0BzsHBAbKBoYGPQX6BcoFswWvBbIFswWwBa0FrQWtBaUFlAV/BXEFcgV+BYkFhgVxBVIFNQUfBRAFAQT1BPYFDAUuBVAFaQV7BYoFhwVhBRkEzQSjBKcEvwTPBNoFBQVoBe8GYAaQBn4GTwYfBfAFswVmBRsE5ATFBLEEmAR6BF0ERQQvBAwD2AOUA04DEALcAqYCZgIYAcIBbgEeAM8AeAAb/7//cv81/wH+xf50/g79nf0q/Lz8UPvg+2j67vp5+g75p/k9+Mr4T/fR91T23fZy9hv12vWq9YH1WfUz9Rf1D/Ui9U71ivXR9iD2b/ax9t/2+Pb99uP2mfYj9aj1T/Uc9PP0yfTN9UP2M/dI+BD4S/gW97r3cfdG9yj3BfbV9qH2evZy9oP2kvaB9kP17PWX9VL1EvTH9Gz0E/PT87rzwPPS8+Pz8PP18+HzpfNA8sTyRPHD8TDwge/A7xHum+517pju4O8h7zfvHO7j7qXudO5V7j/uKe4U7g/uLe5u7rLuzO6k7lHt/u3L7bDtle1z7V3tau2R7bDtpu1u7RfstOxJ69rrdOsj6uXqpupY6fjpkekp6MToZegQ58fng+c85vDmqOZt5j/mHuYF5fHl4uXZ5d3l7uYH5iLmQeZo5pXmxeb950rnsegv6Njp0Oso7KXt3u6S7uPvJ++J7+/wRPCq8U7yIPLO8xby8vJ38bTw1vBC8FLw5/F38afxu/Ip8tDy4PG075rtjew362zqqunV6UvpTemt6g7qWurK643sie137h3uZO5i7k7uau7U72nv6/BG8JrxCPGD8d3yCPIe8j/ybvKe8sby4/Lj8rTyZfIp8i3yavKx8uHy/vMf80jza/N/84vzmfOn86zzqfOs88Xz+PQ59Hv0u/T+9U31pPX49jr2avaW9s73G/dz98T4A/gt+FD4dfii+ND4+vkk+Vn5ofn6+lr6vfsi+4z79fxY/K/8/v1M/Z799v5S/rP/HP+RABEAkwEJAWwBvgIPAnIC8wOJBBQEcQSTBJUEqATsBVYFvwYPBkcGfQa+BwcHUwelB/sIUgijCPEJRAmfCfwKUwqmCvsLTAuNC7MLyAveDAAMLAxXDHkMigx5DDQLswsNCmoJ7AmeCXgJbwmECcUKOwrbC4UMFQx+DMUM/w0zDV0NeA2IDZQNoQ2wDcgN8Q4tDm8OpA7HDuEO/A8eD0cPdg+mD88P7xANEC4QTBBgEHEQlxDUEQgRFRELERQRJRDwEEcPjg+UEMISdRNNEk8PwQz3C0QLDwvRDLkNTA2JDaQNvA3JDbUNfw06DPsMygyfDG8MMwvtC6cLbwtOCzULBwquCj4J4wmzCZ0JdgkxCOkIxAjGCNUIzAiWCDYHvAdFBugGqwZ/BlIGIwYBBfEF5wXPBaIFagUyBPwExASKBFQEJAP5A9EDqgODA1sDNgMXAwAC7QLTAqoCdQI6AgIB1AG3AacBmwGJAW0BSgEhAPcAzgCvAJwAkAB/AGQAQgAc//f/1f+9/7D/pv+P/2j/Pv8h/xD++/7d/r7+qf6a/oL+Xf43/h/+FP4F/er9yv2z/aj9n/2T/Yf9f/15/XH9Z/1j/Wj9cf12/Xj9fP2J/Zv9rP27/cj91f3e/eX97/4A/hj+L/5E/lb+Zv5y/nf+ef57/nj+av5T/j7+M/4u/in+Kf48/mX+j/6n/rH+xP7y/y7/Zv+P/6f/pf97/yz+1f6X/nv+b/5p/m7+hP6k/sD+2P74/yD/Q/9W/2j/i/+7/+H/7//1ABAAQABwAIoAlwCnAL4AzQDLAMQAxgDWAOcA7QDnAN8A3gDjAOUA3QDKALIAngCMAHcAXgBHADwAOwA4ACsAGgAOAAwACwAF//j/6f/Y/7//n/98/1z/QP8j/wP+3/64/pD+av5H/ij+B/3j/b/9n/2D/Wj9Sv0q/Qz87/zR/LL8lfx8/Gf8Ufw6/CT8Dvv2+9v7vvuj+4n7cPtZ+0T7MfsZ+vn61vq3+p36hPpo+kn6K/oN+e750vm6+ab5kvl5+Vz5Qfkn+Q748vjV+Lb4lPht+EP4GPfu98b3oPd691b3MvcL9uH2tvaK9l32MfYI9eL1vPWU9Wz1RfUc9PT0z/Su9JD0b/RK9CX0BfPn88bzovN/81/zQfMg8v7y3fK78pXya/I+8hLx6vHF8aDxfPFZ8TfxFvD28Nbws/CN8GnwRvAk8AHv4O/E763vle9471fvNe8X7v/u7O7e7tLuxO607qLuj+577mnuXO5X7lXuUO5G7jvuNO4t7iXuHO4Y7h3uJ+4w7jfuPe5E7kvuVe5f7mnucO547oXumO6r7rnuxe7W7uru/O8M7yHvO+9M70HvH+8F7xXvXe/S8GHw7vFY8YLxc/FV8V3xm/Hr8hnyEfHo8crxz/H38jLydPK58v3zOvNu85/z3/Q49KP1C/Vl9bb2CfZe9qH2wfbB9rv2w/bc9vr3EPch9zb3V/eA96L3sve197732vgE+Cj4M/gj+AD31feo94H3bfdv93P3W/cY9rr2Y/Yk9fb1yPWY9Xb1cfWF9aX1wPXR9dD1sfVv9RL0svRm9DX0GvQP9BH0JvRO9H/0rvTR9Oj09vT89Pr07fTa9NH03/UF9TT1XvV99Zb1rPW99cn10fXV9cz1svWJ9V31OPUW9Oz0tvR89En0MPRF9JT1E/We9g32TPZi9l32RvYk9gD15/Xf9dz11PXC9af1hPVX9ST07/S69H30NfPy88zz1fP79AfzwPMX8kbxpfFj8U7xAvBL72DutO6E7q3u2u7e7sjutu6o7ovuVe4P7cbtfu057P3sz+yn7HfsP+wO6+3r2uvL67zrseus67DruevJ6+Dr+uwW7DPsVux87KHswezb7O3s+Oz97QPtCu0R7RXtGO0b7R3tGe0N7P7s8Ozl7N/s3uzk7Ozs8ez07P3tEu0v7UvtYe127Y7tru3Q7fPuGO4+7mbuju637uLvEO9A73Hvoe/Q8ATwPvB78Lrw9/E38X7xyPIR8lfym/Lg8yXzZ/Oq8/b0SvSf9O71O/WN9eT2O/aP9uT3PPeX9/H4Svil+QP5ZPnE+iL6f/rc+zj7lvv1/FL8qPz8/Vn9x/4//q//Df9c/6f/7wAsAFcAdACTAMMBBAFLAYwBwgHyAiECTwJ5Ap8CxQLvAxcDPgNnA5YDyQP4BB0EQgRuBJ8EzgT4BSAFTQV8BakF0gX7BiQGSgZpBogGqwbSBvkHHQdEB3EHpAfVCAEIJwhLCGwIjgiwCNEI8QkOCSkJPwlMCVEJVQliCXoJlwmzCc4J6QoCChYKJAowCjwKRApICkcKQgo4CigKFwoLCgUKBAoIChMKKgpJCnAKnArPCwULOAtjC4sLswvcDAgMPgx9DLwM7w0YDUUNfw22Dc8NwA2XDWINJAzlDMIM3Q0rDXANcg02DPsM/Q1ADZ8N/Q5TDqUO6g8WDy0PQA9TD1sPUA9ADz8PVg90D4oPjw+FD2sPRA8hDxMPHA8kDxMO4w6iDlwOEw3KDYwNZA1PDUINOQ0yDS8NKA0XDQQM+wz+DP0M7QzQDKwMggxKDAYLwguGC08LEwrRCpUKaQpRChgKHQorCioKCQnUCa0JqQm9CdEJ3wn2Ch0KRgpkCnsKnwrVCw0LOgtjC5ALuwvRC8sLvAu0C60LmAt4C2kLegufC7kLtguiC5ULlQuXC44LdgtbC0YLOws2Cy8LIQsRCwAK7ArMCqMKggp4CoQKlQqbCp0KqgrKCvQLHAtAC2cLkgu7C9sL9gwODBwMEwvoC5wLPQrhCpcKaApMCjEKCwnaCagJeQlJCRYI5QjACKQIhgheCDAIBAfcB7AHewdBBwsG2AakBmcGJgXrBcEFrQWrBbIFtgWxBacFnwWbBZQFhwVzBWAFVQVTBVUFUgVGBTQFJgUeBRUFAQTnBNoE6gUSBToFVwVwBY4FpAWUBU8E8wSvBJ8ErwTABM0E7wU7BZ4F8QYWBhQGBQX1BdwFqwVkBRwE6gTSBMYEtgSdBIIEbARXBDgEBgPFA4ADQwMMAtQCkQJAAekBkwFBAPAAlwA1/9P/gv9K/x7+6P6b/jT9vv1E/M78Xfvu+3r6/vp9+gD5jfkf+K34M/ez9zT2vvZW9gL1wfWR9Wz1R/Ub9Oz0xfS09L/04PUS9VL1mvXZ9gH2EvYR9ff1sPU49Lb0XfRB9Eb0VPSK9SD2H/c5+AL4Rvgl9+H3pPdx90T3Gfbx9sX2mPZ39mn2Y/ZI9gn1svVg9SL08/TA9H70NPP289bz1fPo8/jz7/PG83vzGvKv8kXx2/Fn8NzwN++J7vDuj+517pXuze777wfu7+697oLuUu4+7kXuU+5W7lLuYe6T7s7u4O6w7lXuAO3J7aXtfO1U7UjtZu2Y7a/tju047MvsW+vy65HrP+sB6s7qlOpD6d7pc+kQ6Lroa+gg59jnk+dR5xHm1Oab5mrmP+YX5e/lyuWy5a3ltOW45bblu+XS5fPmDOYa5jPmb+bV52ToJekb6iTrBOud7Avsf+z97V/tnO3m7nnvRe/78F3wcPBM7/jvf+8m7zjvqfAI8ALvx+/C7/rv4u7/7YTsIOtF6sLqMOmP6ULpjOo76uLrT+ui7BPssu1f7evuNu5D7kPude7t74Lv9vBA8Inw8/Fm8bbx1/Hp8gbyLPJK8mHyePKG8nXySfIr8kLyi/Lb8xbzQPNv86bzz/Pe89zz3fPl8+vz6/Px9A30QvSB9L308/Uv9Xr1zvYc9lj2g/at9uX3M/eP9+X4JPhK+GT4hfiy+OT5FflH+YX50/ot+o768vta+8X8LPyM/OT9Nf2D/dL+KP6H/uz/Vv/IAEIAvgEuAYsB3gI4AqcDKAOqBBgEYASCBJMEtwUDBWsF0QYeBlcGjwbQBxgHZAe2CA8IaQjACRMJaAm+ChMKZgq8CxQLZAucC7kLywvgDAEMKwxaDIYMnAx+DBgLdgrCCiwJyQmRCXYJeQmrChgKsAtRC9sMRAyWDOENKA1jDYkNnQ2qDbYNww3ODd8OAw4+DocOxg7vDwQPFA8sD1APfA+oD88P9hAhEE0QaxB0EHsQnBDXEQgRFBEOER8ROhELEFsPhw9bEEoRzhKhEc4PiA0GC4MLXgwWDOUNXg2MDaQNug28DZoNYQ0yDRoNBgzeDJgMRAvyC7ELhAtpC1ILJArSCmsKGAntCdsJvQmDCT8JDQj2CO0I3QixCGEH8wd7BxcG0galBn0GVgY3BiUGFgX9BdUFowVtBTAE8QS0BIIEWgQ1BA8D5gO7A5IDawNNAzcDJAMJAuICrwJ3Aj4CDgHrAdQBwQGsAZMBegFaATAA/QDQALQApQCTAHQATQApAAv/8f/a/8j/uv+o/4r/Zf9D/yr/FP77/uD+xf6p/or+bP5W/kv+QP4p/gf95/3V/c/9yf28/an9mP2O/Yj9hf2F/Yn9j/2T/Zb9nP2o/bn9yP3T/dr93v3g/eT98P4J/ir+SP5d/mv+df58/n3+fP5+/oH+fP5n/kz+Ov43/jr+PP5F/l7+gP6Z/qz+1P8m/5H/5P/5/9D/iP87/vb+wf6l/qD+p/6r/q/+uf7K/tv+7P8F/yz/U/9t/3z/jP+m/8P/4QAEADUAZwCIAJEAlQCqAMoA4gDlAOAA5gD8ARMBHgEaAQ8BCgENARUBGQESAQIA7wDdAMUApQCEAHEAbgBvAGMASwA1AC4AMgAyACoAHAAN//r/4f/D/6X/iP9p/0j/Jv8E/uL+vf6Z/nf+V/40/g796f3H/af9hv1j/UH9JP0H/On8y/yu/JP8efxg/Ej8MPwU+/X71vu8+6X7jPtx+1f7QPsn+wn65/rG+qr6jvpy+lX6OPoZ+fj52fnC+bL5ofmM+XH5V/k8+R/4/vje+MD4ofh++Ff4MfgM9+f3wPea93f3Uvcq9v720fam9nz2UvYq9gT13/W39Y71ZfU99Rb08fTP9K70ivRh9Dj0EvPx88/zq/OG82PzQvMh8v/y3fK68pTyavI/8hbx7/HJ8aTxgPFf8T7xG/D38NPwrvCJ8GXwQ/Ag7/3v2++/76jvju9u70rvKO8O7vru6O7Y7sjuuO6m7pHueu5k7lPuS+5J7kruRu477i7uI+4b7hTuDu4K7gzuEe4Z7iLuKO4s7jDuOu5J7lfuX+5l7nHuhO6V7qDuqu677tTu6+797xDvKu9B70nvP+8u7ybvMe9d77nwRPDa8UHxW/FE8TrxZfG48gLyHfIM8e3x3/Hu8hXyS/KI8srzDfNM84fzxPQO9GX0wPUU9WX1vfYg9n72wfbe9uL25fb39xb3NPdJ91j3aveD95r3qfe198r37/gW+Cz4LPgh+Bf4C/f299n3xffE98j3sPdq9wP2n/ZV9iD18fXE9ab1qPXH9fH2EfYc9gr11/WA9RL0ofRF9Abz3/PN89Tz+PQw9Gv0l/Su9Lj0u/S49Kz0mvSN9JH0rfTa9Qn1MfVS9W/1ifWi9bz11/Xv9fn16/XP9bT1ofWP9XL1R/UT9NX0kfRi9HD0z/Vk9e72PPZL9jj2HfYC9ez14PXi9er16PXZ9cL1q/WN9WT1M/T+9ML0d/Ql8/Hz+vQ19GH0NfOk8u/yavIn8efxVPBj72buxu6h7sPu4+7o7uLu3e7N7p/uWu4T7dXtl+1Q7Qvs0uym7HrsR+wV6/Dr2OvH67jrrOum66jrsuvC69br7OwE7CHsROxq7I/ssezO7OXs8uz47Prs/Oz77Pfs9Oz17Pjs9uzq7Njsx+y57K3sp+yo7K/stuy97Mjs3Oz67RjtMu1I7WDtfu2j7crt8O4U7jnuYe6O7r7u7e8c70rveO+m79fwDvBL8IzwzvES8VzxqPHy8jfyefK+8wPzR/OL89X0JvR49MT1D/Vf9bf2D/Zk9rj3Dvdn98D4GPhz+NX5Ovmd+fv6WPq2+xX7c/vN/CH8dPzN/Tb9qv4c/oD+0/8f/2n/rv/kAAsALQBYAJAA0gEVAVEBhQG2AeYCEwI6AlwCgAKoAtAC9QMbA0kDfgOwA9cD+QQgBFEEhASxBNkFAgUvBVwFhwWwBdgF+wYYBjMGUwZ6BqUGzgb3ByMHUQd/B6sH0wf3CBcINghXCHwIoQjFCOYJAgkSCRkJIQkzCVIJeAmbCbwJ2wn1CgkKFAobCiIKKQovCjQKMwopChcKAwn1CfAJ8gn3CgQKGwo9CmcKlwrNCwULOAtmC5MLwAvtDBkMTQyMDNENCQ0qDTsNSQ1WDVsNUg0+DSQM/wzODJsMeAxpDGAMTgxEDGMMuw04DbQOFw5hDpwOyw7yDxQPNA9ID0YPNA8qDzwPZA+KD54Pnw+TD3gPTQ8hDwoPDQ8VDwcO2Q6XDkwN/Q2tDWUNNA0XDQYM+QzzDPgM/gz7DPAM5wziDNcMvwycDHkMVgwpC+wLqAtnCysK7QqtCnQKRwonCf8J9gn8CfoJ4Am0CZcJmwm1Cc0J4An9CikKVApwCoYKrgrsCywLYQuTC84MCwwxDDIMHwwMC/sL4Au+C6wLuQvZC/EL8QvfC80LxQvAC7cLpQuKC2wLUgtCCzYLJgsPCvUK2Qq2Co0KawphCm8KgQqGCoIKiQqkCsgK6QsKCzYLcAumC8gL2wvsC/wL+wvWC4wLMQraCpkKcApXCkEKJQoBCdUJogllCSII6QjGCLUIogh9CEYIBgfGB4YHRwcNBtkGrAZ+BkoGFAXhBbgFoQWcBaIFpAWdBY4FgQV6BXUFbAVdBUgFMQUeBRMFEQUTBRYFGgUfBR0FCgTpBM8E0wT0BR4FQAVeBYYFrAWvBXgFGgTGBKEEpQS1BMIE1QT/BToFcwWcBbYFywXYBdAFpwViBRoE6ATUBNME0QTCBKsElgSBBGMEMgPzA7EDdAM5AvoCsgJjAg0BtwFjAREAuABT/+3/mf9h/zr/C/7C/lv94f1f/N/8aPv6+4z7E/qN+gT5hPkN+Jf4GveX9xX2nfY29eH1ofVy9U/1LvUD9M70m/R79HH0dfSC9Jz0xPTv9Qn1DfUF9PH0vPRc8/Lzt/PJ9A30XfTA9WX2VvdW+Ab4P/gj9+v3svd39zz3EPb59uj2yPaa9mn2PPYI9cT1d/Ux9Pz00vSo9HX0OvQC89/z2vPp8+7zy/N48wLyg/IR8a/xVPDw8Hnv7u9f7ufun+6M7qDuve7O7s3uve6c7m3uP+4u7kLua+6G7ovuj+6n7sXuw+6M7jnt7u277ZHtZe1D7Ubtbu2W7ZPtUuzk7Gjr9euT60XrCera6qzqcOof6b3pW+kD6Ljocugr5+LnnOde5yfm8+bA5pLmaOY/5hDl3eWx5ZfliuWB5XXlcuWC5Zrlp+Wk5ajly+YU5njm9OeI6C3oxulF6bnqOeq86yTraeu17DHsz+1Y7bHt7u4p7k7uRe4l7iruXe587kPtze1z7VDtG+yE653qzepN6fLpgOkR6Qnpouqp66fsSOyJ7KTs1O0v7Z/t9u4h7j3ugu8D75jwCfBS8Jjw9fFU8Y3xnfGo8cTx6PIA8hDyJvJB8k7ySvJO8nTyuvMD8zzzbPOj8970BvQP9AXz//QG9BP0H/Qw9FT0jPTK9P71KvVb9Z/18PY+9nv2p/bO9wT3VPe2+BX4WPh2+IH4k/i6+PH5K/ln+a36Afph+sf7L/uY+/z8Wvy0/Q/9Z/26/gn+X/7C/y7/nAALAIEA9gFeAbMCBAJkAtgDTwO4BAsESAR3BKME3gUzBZcF9AY8BnYGsQbzBzoHhAfVCC8IjQjoCT4JkQngCi0KfQrRCyMLYQuEC5cLsQvaDA0MPwxsDJAMmAxnC/ALSAqdChYJvgmLCXkJlgn5Cp0LWgv7DGIMngzRDRANVQ2LDagNsg27DccN1Q3fDewOCA49DoMOxg72DxAPHw8yD1IPfA+nD9EP/hAwEF4QehCBEIYQohDUEQARDhEREScRPxEKEFYPdg8iD88RExHWETkPXg1NDBQMBgypDVANqA3KDegOBQ4CDc4Ngg1KDTANGwznDI4MJQvJC4ULWAs6CyAK+gq/CngKOwoZCgkJ9wnQCZcJVQkYCOgIxAiiCG4IIAfEB28HMQcCBtYGqQaDBmYGSwYpBf4FzAWUBVQFEATUBKgEhwRnBEEEFQPpA8ADnwOHA3IDVwMyAwYC2gKsAnsCSQIfAgEB7QHcAcoBuQGgAXcBPQECANYAvQCoAIsAaABKADQAIAAJ/+//2P/D/6r/iv9o/0v/NP8g/wn+6/7I/qb+jf6B/nr+bf5S/jH+FP4D/fv98v3k/dL9wf24/bT9tP21/bT9s/2z/bT9t/2+/cn91f3g/eb96P3o/ev9+P4S/jX+U/5m/nD+d/5+/n/+ev55/n7+gv55/mT+Vv5X/l/+Y/5m/nj+l/6y/sT+4/8s/5j/8QAI/9v/j/9I/xP+9f70/xX/Rv9s/3f/bv9a/z7/H/8R/yb/WP+K/6D/nv+d/7H/4AAbAFMAeACDAH8AgwCeAMcA6QD3APwBBQEYASwBOgE+ATsBNAEwATQBPQFBAToBLAEdAQoA7gDOALcAsgC0AKoAjwBzAGcAagBsAGIATwA7ACkAFf/8/+H/xf+n/4j/av9P/zP/EP7p/sP+ov6B/lz+NP4P/ez9yP2g/Xn9Vf02/Rj8+vzc/L/8o/yH/G78VPw3/Bb79fvZ+8H7qPuL+237UPs0+xf69vrX+rr6nvqA+mT6SPor+gn56PnP+b75rvmX+X35YvlH+Sj5A/jh+MT4qfiJ+GX4Qvgi+AP34Pe895j3cvdH9xf26fbA9pr2dPZN9if2APXX9az1g/Ve9Tv1F/Ty9Mz0o/R29Ej0HfP589jztPOO82jzRPMh8v/y2/K28pDyavJD8h7x9/HP8anxh/Fn8UbxIvD68NLwqvCD8F/wPvAd7/rv1++575/vhO9k70HvIu8K7vfu5O7R7r7uq+6X7n/uZu5R7kXuQe5D7kTuP+4z7iPuFO4K7gXuBe4H7gruD+4V7hzuH+4d7hzuI+4z7kTuTu5T7lzube5/7ozumO6o7r/u1u7q7v7vF+8v70DvTO9W71nvUO9G71/vuvBK8NfxKvE88TXxRvF98cfyA/Id8hjyBPH68gbyKfJc8pry4PMp823zqvPm9Cr0efTN9SP1gPXp9lv2v/cB9xr3Hfcj9zj3Vvdt93f3eveA94v3mveu98739vgZ+Cz4Mvg6+Er4V/hQ+Dj4Ivge+CH4C/fJ92D27faK9kL2DfXn9dX14PYI9jv2YvZs9lD2EPWt9TH0r/Q78+TzrPOY86/z7vRC9Iv0tfS/9Lj0q/SZ9IT0c/R09In0rfTT9PP1DvUo9UT1X/V79Zz1xPXq9f31+PXo9d312/XV9cL1qPWJ9Vj1BvSm9Hb0q/U29c32JPYw9hX1+/Xs9eL13fXn9fj1/vXv9dX1vvWs9Zb1ePVO9RH0tvRL8/3z9PQm9E/0LfPD81XzHPL98pzxvfCN74Tu/e7u7wbvC+787vbu/O7u7rjuZ+4Z7dztou1f7Rjs2+yp7HrsSOwV6+vry+u166brneuZ65rroOut68Dr1uvw7BHsN+xc7H7snuy97Nfs6Ozu7O/s7uzq7OLs2uzW7NXsz+zB7K/soOyU7Ifse+x27HzsiOyW7KXsuezR7O3tB+0f7TftU+137aLtzu317hruQu5v7p/uzO737yXvVu+I77jv6/An8Gzws/D48T7xhvHO8hPyVvKa8uHzKPNw87r0CPRX9KL06/U59ZD16PY/9pP26Pc+95P36PhD+Kf5EPl3+db6MvqP+u77Svuh+/H8Rfyp/R39lf3//lT+nv7n/y//bf+b/8D/6gAfAF8AoADcARIBRQF1AaUB0gH4AhkCOgJhAosCsgLYAwMDNgNpA5MDtQPbBAoEPQRtBJcEwATpBRIFOQVfBYYFqAXFBd4F/AYjBlEGgQauBtcG/gckB04HeQeiB8YH5ggHCCwIVQh/CKYIxgjaCOUI8QkHCSoJUwl8CaIJxQnhCfEJ+An7Cf8KBAoKChAKEQoLCf0J7QnjCeEJ5QnsCfsKFgo7CmcKmArOCwQLNQtjC5MLyQwADDIMYgycDOANIA1LDVsNVg1IDTINFwz6DN0MuwyKDE4MEwvqC9oL5gwTDGkM4w1oDdwOLw5lDo4Otw7jDxAPMw9CDzoPLA8uD0oPdQ+aD68PtA+sD5EPYQ8pDwAO8A7qDtUOpw5oDiIN1g2HDUANDAzrDNMMvwy1DL0MzgzZDNcMzgzDDLIMlgx0DFQMNgwOC9QLjgtICwcKzAqWCmcKPgoaCfgJ4AncCdsJzgm3CasJtAnKCdsJ7QoQCkgKfgqiCr4K7AswC3ULqwvcDBoMYQyUDJ8MiwxrDEwMKgwMDAAMDQwnDDYMMAweDAsL/gv1C+sL2Qu5C4wLYAtDCzYLKQsUCvgK2wq6CpQKcApgCmcKcwpzCmgKZgp5CpcKtQrVCwkLTQuMC7ILwQvMC9kL1guvC2YLEQrICpEKaQpKCjAKGAn8CdYJoglfCRcI2wi4CK0IpQiKCFQICAe0B2IHGgbhBrIGiAZeBjQGCAXdBbUFlgWHBYIFfgVxBWAFUwVOBUsFRAU3BSQFCwTxBOAE4ATwBQIFEAUXBRYFCATrBM8ExwTcBQAFIgVFBXEFoAW0BZIFQQTrBLUEpwSrBK8EsgS+BN4FDQVCBXQFngW2BbMFjwVQBQoE2QTJBM8E1gTOBLoEpgSRBHMERAQIA8wDkQNSAw0CwwJ3AiYB0AF6ASUAzgBsAAX/rv92/1P/Kf7h/nn9/P12/PL8dvwE+5X7HfqZ+g/5ifkJ+If4Afd49vL2dvYM9bf1ePVL9Sn1CPTe9Kv0evRa9Er0PPQp9Bn0HPQs9DX0LPQa9Afz4/Oj82TzXvOu9DD0q/Ub9a72f/de9/P4Gvf097v3g/dG9wX20/bA9rz2qvZ99j319fWt9Wn1LPT59M70pvR/9Ff0LPQD8+fz4PPj89LzlPMk8pfyB/GF8RfwuvBq8Bnvvu9b7wLux+6u7qruqO6g7pjuke6E7mbuP+4s7kHucO6Y7qbupe6m7qXujO5T7gztz+2h7XjtU+1E7Vjtfu2K7WDs/+yC7APrles+6wDq1+qz6obqSun/6a3pW+kP6MrohehA5/rnuueD51XnKOb75tHmrOaH5lrmIuXn5bjlmOWC5XPlceWA5ZvlsuW75b/lzuXu5h3mW+av5xrnjef36FvoxOk26abqEOp+6vnrcevO7BXsZezP7TPtZe1l7VvtYu1c7SLsuuxZ7Bfr0utY6rPqHem46WrpE+jO6O7pqOrW7AXsyu0D7Obs0Oz87WLtyu4M7jruie8N76LwGPBn8K3w/PFC8WPxZfFr8Yjxr/HM8d3x8/IV8jnyWfJ88qzy6fMk81jzi/PF8/z0G/Qc9Av0AfQK9CH0PfRd9In0wfT69Sn1TPV19bP2AvZU9pX2wvbp9x33cPfb+EX4jPij+J74o/jI+Qj5TfmP+db6KvqQ+v/7b/vX/DD8gPzS/S79jv3l/jb+j/75/27/4ABNALwBKwGPAeQCNQKXAwYDcAPGBAsESgSLBM0FFgVrBcgGHwZmBqMG4gcmB2sHsggACFcItAkPCWYJuwoNClwKqQrwCygLRQtSC2ULlAvZDBwMTAxnDHEMYAwgC6sLFQqACgkJuQmSCZsJ5Qp4C0AMCwyiDPENEg0tDVcNhw2oDbUNuA3BDdEN4Q3tDfYOCg4zDnAOtA7tDxAPJA82D1IPew+qD9sQDBA+EGgQhRCREJoQrxDUEPgRDhEdETcRRREHEFIPag7uD1IQThD+EJ0POQ2qDNIM7Q2KDhMOTw5lDoQOqQ6kDl4N8A2JDUENCwzMDHgMHAvHC38LQgsOCuMKwAqhCoEKYgpICjYKJgoQCeYJpAlWCQ8I4QjCCJwIYQgYB9MHmAdhBycG8AbFBqQGgQZVBiEF6gWvBW4FLAT0BMkEpwSFBF8ENAQLA+cDzQO9A6oDigNaAycC/ALWAqsCdwJGAiYCGAISAggB+AHgAbgBfgE7AQIA2wDAAKcAjgB4AGgAVwBAACIAAf/h/8H/o/+I/3D/Xf9J/zD/Dv7m/sL+q/6f/pf+h/5x/lr+Rv42/iX+FP4F/fj97v3m/eL94P3d/df90f3P/c/9z/3N/dD92P3k/e799P33/fr+BP4Y/jT+Tv5d/mX+bP51/nv+d/5x/nP+e/5//nj+cv54/ob+jv6R/p7+uv7W/uL+6/8P/1X/mf+y/5z/cf9J/y//Lf9X/7gAMwCWAL4ArABrAAb/kv8//zv/hf/hABAABv/v//YAHwBOAGoAcgB2AIQAnwDAAN4A8gD+AQkBFgEhASoBNAFDAVEBVwFVAVYBXgFnAWMBVAFGATsBLgEWAPwA7wDsAOUA0QC4AKsArACsAJ8AhwBuAFoARQAuABX//f/l/8v/sf+a/4D/Xv8z/wf+4f7A/p3+d/5R/i/+Df3l/bn9j/1p/Uf9J/0J/Ov8zfyu/JD8dfxZ/Dn8F/v3+9z7wfuk+4T7ZftG+yb7B/rq+s76sfqS+nT6Wfo++h75/Pnh+c75vPmj+YX5aPlN+S35CPjl+Mn4r/iR+G34Svgt+BL39PfT97H3ivde9y33APba9rj2lfZu9kb2HvXy9cT1mvV39Vf1NfUN9OL0tPSE9FT0KPQD8+HzvvOY83DzS/Mn8wPy3fK38pLybvJL8iXx/fHU8a3xi/Fr8UnxIfD48NDwqPB/8FnwNvAW7/bv1e+175jve+9d7z7vI+8N7vju4O7I7rPuoO6L7nHuWO5G7j7uPe4/7j3uNu4p7hfuBu367fft/e4H7hDuFu4b7h3uG+4U7g3uD+4d7i3uOe4/7kbuVe5n7nnuiO6Y7qnuu+7P7ujvAu8a7yzvQe9g737vh+9372vvje/t8HLw6/Ez8UjxR/FU8YTx0PIW8jjyL/IU8gXyFPI78nPyufMI81bzmfPR9Av0UvSn9QH1XfXE9jr2tPcX90z3WPdU91z3cveK95b3lveT95X3nfeu98r37vgT+DP4U/h2+Jj4p/ic+H74Zfhc+Fv4TPgZ97z3Q/bJ9mX2I/YB9fv2EPY/9nv2rPa+9qP2W/Xp9Vn0v/Qx88LzfPNp847z4vRJ9J30yfTQ9MX0s/Sd9Ij0fvSK9Kf0xfTZ9Ob09fUN9Sn1RfVj9Yr1ufXj9fj19/Xx9fX1//X/9e/13vXU9bv1cfT99KL0qvUd9a/2CvYX9f316/Xp9en16PX09g32HfYP9en1w/Wv9aj1oPWF9Uf04fRm9Afz5vP18/fzwvNy80vzX/Nh8uLxxvBu72/vEu8l70PvN+8V7wTvBu727r/ua+4Z7dXtmO1b7SDs6ey37ITsTuwb6+7ryeus65nrj+uK64jri+uX66rrwuve6//sJOxH7Gbsg+yi7L/s0OzU7NHszezL7Mfswuy/7Lrsr+yd7IvsfOxw7GTsVuxO7FPsYux47I3soey27M7s6u0F7R7tN+1X7YLtsu3e7gTuKu5U7oHuq+7T7wLvOO9v75/vz/AJ8E/wmPDc8RzxYPGn8fDyNvJ88sPzDPNV86Dz7fQ79If0z/Ub9W31xfYc9nH2xvca92z3wPga+H746PlO+a36B/ph+r77Gvtw+8L8HfyH/QD9dP3V/iL+aP6w/vb/LP9R/3T/pP/iACUAZACcAM8BAAEuAVoBhgGtAc8B8AIWAkMCcAKaAsQC8gMiA00DdAOdA8sD/AQrBFYEgASnBMsE6wUMBS4FTwVtBYgFpgXOBf8GNAZlBo0GrQbMBvEHHQdKB3QHmge/B+cIEgg/CGkIigiiCLIIxQjfCQAJJglOCXYJmgm0CcIJyAnOCdQJ2gncCd4J3wndCdYJ0AnNCdAJ1QngCfQKFAo8CmcKlgrJCv0LLAtaC40LygwMDEcMeAypDOUNJw1dDXkNew1mDUENEAzVDJYMVgwVC9wLuQu5C90MGwxpDMUNLA2UDe0OLA5aDoUOuQ7xDyAPOQ8+DzsPPA9LD2UPhA+hD7gPxg/ED6gPcA8pDuoOwQ6lDoUOVg4cDd4NnQ1aDRsM6wzJDKsMjgx9DIMMmQysDLAMpQyWDIUMbwxUDDcMGAvvC7QLbAshCuAKrAqECmQKRAoeCfkJ2wnTCdcJ2AnWCdoJ6An3CgAKEQo9CoQKygr8CyMLVwugC+YMFww7DGwMrAzkDPoM7QzNDKgMhQxtDGkMeAyIDIgMdQxaDEMMMwwnDBsMCAvhC6gLbwtKCzoLMAsdCwEK5ArFCp8KeQpgCl0KYgpbCkoKQgpOCmkKhQqoCt8LJwtpC5ELoguuC7cLrAt8CzEK5QqpCnoKUAolCf0J2wm5CZAJXQkiCOMIrQiMCIEIgQhzCEcH+wedB0IG+gbGBp8GeAZPBikGBQXgBbgFkQV2BWQFVQVCBTAFJgUjBSEFGQUNBP8E7QTbBNIE3ATzBQYFCwUHBQIE+wTtBNsE0ATYBO0FCAUoBVQFiAWqBZ8FYwURBM0EqQScBJUEjQSLBJ0ExgT+BTMFWgVuBWoFTQUaBN4EtASoBLQEvgS2BKIEjwR+BGMEOAQEA9ADmgNcAxICxgJ9AjEB3QGFATAA2wB+ABn/wv+J/2j/Qf75/o/+Ef2N/Qv8jPwR+5X7F/qU+hD5jPkD+Hb35/db9tP2U/Xj9Yz1T/Uk9QH03vSz9IL0U/Q09CP0EPPx88/zvPO687bzovOH82zzS/Md8wPzNPPC9HT1APVd9cj2cfcy97f30fek92n3OvcH9sj2jfZo9lf2Q/Yb9dz1jfU89Pj0yvSr9I30a/RL9DH0G/QE8+/z4PPM857zR/LO8kTxtPEj8J3wNe/0783vp+9x7zHu9+7N7q/uku567mzua+5q7l3uR+497k/udu6Y7qPunO6M7nTuTO4T7dftpe187VvtSu1X7Xrtku157SXsq+wo67DrS+r/6s7qseqV6m3qNun46bbpdOkw6O3oq+hs6DHn/efS56zniOdh5zznGeb25s3mmuZh5ivl/+Xd5cXlu+XD5d7mAOYb5ifmKuYs5jnmWeaR5uDnPOeS597oJ+iB6Pbpf+oP6pPq/etM65Lr5uxN7K7s6uz57PXs9Ozx7NvssOyA7E/sAut+6tPqN+nT6aDpfOlm6YzqIesb7CXs2O0F7N3swez27W3t5e4y7mjuue8277/wKvB18Lbw+fEv8UTxQ/FI8WbxjvGu8b/x0fHz8ibyZPKj8t7zFPNE83TzqPPd9Aj0G/QR8/jz5vPu9A/0PPRr9Jv0z/UF9TH1VPV69bP2AfZS9pT2wvbr9yT3fPfu+F34pvi7+LT4uvjn+TH5f/nC+gT6VfrA+zr7s/wZ/Gf8qPzv/Un9rP4H/lz+u/8u/6wAIACJAPEBXwHJAiUCfQLcA0EDmwPiBCEEZgSxBPsFRAWUBe0GQwaPBtEHEgdWB5gH2wgmCH4I2wk2CY4J5go+Co8K0gsBCxsLJQswC1ILjgvQC/sMBwwCC/YL2wugC0AKxwpOCewJswmxCe8KaQsSC88MfQz+DUwNdw2ZDb0N2g3lDeIN4Q3pDfgOBQ4MDhEOHg4+DnUOug76DyQPOA9ED1kPfw+0D+wQIBBMEHIQkRCpELkQyRDiEQARHhE5EVMRWBEWEGYPdw7RDucPmhAzEAAO/A3bDV4NsQ5fDtsO+g7xDv8PIA8lDugOcQ3nDXANGQzeDLEMhAxMDAQLrwtVCwYKzQqvCqIKlQqACmcKUgpACiMJ8AmtCW8JQwkfCPEIsQhsCC4H9AeyB2kHJwb3BtQGrwZ9BkEGAwXEBYYFSwUYBO0ExQSfBHoEWAQ3BBgD/gPsA9gDtgODA0wDHwL6AtACnAJrAk4CSAJJAkECLAIPAecBswF0ATUBAwDgAMkAtQCjAJIAfwBpAEsAJv/9/9f/uv+o/5r/if9w/0//KP8A/t7+xf60/qb+lf6G/nz+c/5i/kr+Mf4g/hf+EP4H/f/9+v33/fD96f3m/eb95f3h/d/95P3v/fn9//4C/gb+DP4Z/i3+Q/5S/lf+XP5n/nH+cf5p/mf+b/55/n3+fv6I/pz+rP60/r7+1f7v/vv++/8B/xv/Ov9I/0H/Mv8o/yn/Rf+cADoA+gGcAfIB8AGbAQAASP/F/74ALQC2APwA9ADXANgA6wDlALsAlACcANUBGgFBAUIBMQEoATIBPwE+AS4BIQErAUgBZAFyAXgBggGMAYkBdwFkAVsBVwFJAS0BEwEHAQMA+gDsAOIA4ADcANAAuwCnAJUAgQBpAFAAPQAqABT/+v/g/8f/pv98/03/JP8A/t7+uP6S/nD+T/4q/f790f2n/YD9Xf08/Rz8+vzW/LH8kfx2/Fn8OfwY+/j72fu6+5v7fPtb+zn7Gfr++uX6yPqn+ob6a/pS+jT6E/n3+eP5z/m0+ZT5dvlZ+Tn5E/jv+NP4ufia+HT4Ufg0+Bv3//fe97v3lvdt90H3Gfb49tn2tvaO9mT2OfYK9dn1rPWI9Wj1RvUc9O/0wPSR9GP0OfQV8/LzzfOl833zV/My8wzy5vK/8prydvJR8inx/vHT8azxi/Fp8UPxGfDv8MnwpPB88FPwLfAP7/Pv1e+275bvd+9a70HvKu8U7vvu3+7D7qvul+6B7mjuUe5B7jvuOe427jHuJ+4Z7gft9u3r7ert8u3+7gruEO4S7hDuC+4D7fzt+u4C7hHuH+4p7jHuPO5O7mHuc+6D7pHun+607tDu7+8I7xnvLe9P73zvoe+t76Lvn+/F8CPwpfEc8V7xYvFP8VrxnfH88kHyT/I08hbyEvIr8lnymvLq8z/zivPH9AD0Q/SU9Oz1RfWn9hv2nvcW92b3g/eA93n3g/eb97P3w/fI98X3wffA98v35fgN+EL4f/i5+N344PjH+KP4hfh0+Gj4Wfg49/b3jvcO9pn2SfYl9iP2PPZq9qn24/b/9un2mfYW9W/0vfQd86LzV/NE82nzvPQh9HT0o/S09Lf0tPSt9KX0pvS09Mn01vTY9Nz07fUK9Sv1SfVo9ZH1wPXo9fr1+/X89gr2GvYc9gz1/vX/9fr1w/VR9OD0w/UU9Zf19PYJ9fj18vYA9gv2DvYY9jL2SfY89gv10fWw9az1rvWX9Vb07fR49B/z9/Pp88PzdvMs8x7zP/Mt8oXxSO/z7xbu4u8S70DvPu8h7wru/O7f7qfuXu4U7c7tju1U7SXs+uzK7JLsWuwp7ADr2eu265vri+uA63rrfOuJ65/ruOvP6+vsCuwq7EfsZOyC7J7sruyu7KXsneyb7J3soOyk7KPsmuyH7HHsX+xQ7EPsNuwv7DHsQOxY7HLsi+yi7Lvs1+z27RHtKe1F7Wztme3E7ejuDe447mfuku667ujvIO9Z74vvt+/t8DDwePC68PnxO/GG8dTyHvJl8qzy9fM+84fz0/Qh9G70tvT/9U71o/X59k/2o/b290n3nff2+Ff4vfki+YD52vo0+o/66ftB+5j7+Pxj/NT9Pf2V/d/+Kf5z/rX+5P8F/yr/Xv+g/+MAHwBXAIsAugDkAQwBNQFeAYIBowHJAfYCKQJZAoUCrgLYAwMDMANfA48DvQPnBBAEOQRgBIMEoAS9BNsE+gUXBTMFVAV+BbEF6QYcBkUGYwZ+Bp4GxgbzByIHTwd8B6oH2QgICDEIUghqCIAImQi2CNQI8gkTCTYJVwlvCX4JiwmaCagJrQmqCaUJowmkCaUJqAmuCbgJxAnTCe0KEQo5CmEKiwq7Cu8LIAtOC4ILwwwMDFAMhgy2DOoNJg1bDXsNgA1uDUgNEAzGDHAMFwvPC6cLrQvgDC4MggzNDRENWQ2kDeoOIA5PDocOzQ8PDzQPOw82Dz4PVw90D4kPmA+oD7sPxw/AD5sPXA8NDsEOgw5TDicN9g3ADYwNWA0kDPMMyQynDIYMZgxRDFQMbAyFDIwMfQxmDFIMQAwrDBEL8AvFC4gLPwr1CrkKkAp4CmUKSgokCgIJ6QnmCfAJ+goBCg0KHQorCjUKSgqBCtYLLgtwC6IL3QwnDGsMlQyqDMQM8A0fDT0NPw0tDRAM8wzgDOAM7wz8DPMM0gymDH4MYAxNDD8MKgwDC8kLjAthC0wLPgspCwsK6grHCqAKdgpZCk4KSwpCCi8KIgopCkAKXgqFCrwK/ws8C2QLeQuKC5MLgQtLCv8KuwqKCmEKMQn5CcAJiglUCR8I7Ai/CJUIbQhPCEIIRAhBCCEH2wd9ByIG4Aa4BpsGegZSBioGBAXeBbIFhwVlBU0FOAUhBQ4FBAUBBP4E9gTsBOUE4ATeBOYE+gUSBRwFEQT9BPIE9AT5BPYE7wTrBO8E+QUNBTIFZQWRBZkFcgUqBN4EpQSGBHUEawRoBHEEiwSwBNUE8AT+BP0E6QTBBJEEcQRvBIQEkwSNBHgEZQRXBEIEIAP3A88DogNkAxYCxgJ+AjcB6AGSAT8A7wCXADX/3P+h/37/V/8P/qT+J/2n/Sj8pvwf+5X7DPqH+gb5gfjz+F73zfdE9r72PPXF9Wr1LfUD9OD0vPSU9GT0NPQO8/jz5vPM863zmPOP84LzaPNG8yTy/PLP8sfzIPPh9Lr1TfWN9cf2QPbg91L3Z/c69wf25fbA9or2TfYc9fz13/W39Xn1JfTM9IX0YPRS9EX0L/QY9Anz//Pw89nzuvOK8z7y2PJm8fLxdfDl8FHv3u+k75fvlO9971HvG+7k7q/ugO5d7k3uSu5N7kzuTe5Y7m/uiO6U7ovudO5W7jLuBO3O7Zntbe1N7UDtTO1y7Zftle1V7OHsWevc63LrHOrd6rfqouqO6m/qROoQ6dbplelQ6Q3o0eib6GzoQugf5/7n3+fA56Hngedf5znnDubg5q/mgOZX5jbmIeYc5ivmSuZq5n3mf+aA5o7mreba5xPnVeea59voG+ht6ODpb+oB6nvq2usp63nrzewg7Gnso+zL7Obs9+0C7QvtE+0W7QTsvewy63zq2uqF6oHqoeq56tLrGeul7EvsvuzZ7MPsz+0o7bTuNe6M7tHvJ++U7/rwQ/B48K7w6/Eb8THxNfE+8Vnxf/Ge8a3xuvHa8hnybvLF8wnzOvNj85Hzw/Pw9A70FvQE8+DzwPO+8+L0HPRV9IT0tPTq9R/1SvVy9aj18PY79nr2qfbZ9xz3evfo+FD4l/i4+MT43fkX+Wj5uPn5+jj6i/r7+337+vxc/J780f0P/Wf9zP4u/on+8P9r/+8AZgDNATMBowIWAn0C2QMzA4oD0wQMBEMEhwTUBR4FZQWzBgwGZga0BvgHOgd6B7YH9QhBCJ8JBQlkCbsKDgpdCp8KzQroCvoLEAszC2ELiAuRC3YLSwsuCygLIQsACrwKYgoJCcoJvQn1Cm4LCQulDC4Mow0JDWINsA3xDiMOPg5FDkEOPw5BDkAOOQ4vDioOMw5TDo4O2g8hD0wPWQ9aD2YPig/BD/8QMxBaEHoQnRDAENkQ6BD8ERwRQhFhEXQRcxE6EJ8PtA7pDrsPLA+nD4EOqw3FDYcODw7ZD08PSA8NDu4O/w8VDwAOsA41DbUNWQ0zDTcNPg0nDOcMhgwUC6ELQgsDCuMK0Aq4CpkKfApnCk8KKAn5Cc4Jqgl+CT8I9gi2CIUIUwgQB70HbwczBwcG2gajBmIGHgXcBaAFawU/BRYE7QTHBKgEkAR4BFoEOQQZA/sD1QOkA28DQAMaAvUCygKiAosChAKBAnMCWAI2Ag8B4gGsAXIBPAESAPUA3wDKALMAmgCBAGUAQwAb//b/3v/U/8v/tv+S/2n/RP8l/wn+8P7Y/sP+sf6m/qH+nP6L/m3+UP48/jP+K/4f/hX+Ef4Q/gv+A/39/fz9/f37/fr9/v4F/gj+B/4G/gj+Df4V/iT+OP5J/lH+VP5c/mn+b/5q/mT+av54/oP+if6U/qv+xP7S/tj+5P74/wr/EP8S/xb/Hf8d/xn/GP8f/y7/Wf+9AGYBNAHsAmECfgI8AaUA8wCJAK8BRwHgAiECGgIXAjoCTwIVAZcBLwEpAX0B4AIPAgIB3AHIAc0B0AGzAXIBLwESAScBUwF0AYMBjgGcAaABkgF8AW8BbQFlAU8BMgEgARwBGgEUAQsBBAD9APIA5QDbANIAwwCqAJEAfQBsAFYAOQAdAAb/7P/J/57/c/9P/yv/A/7a/rT+j/5p/j/+E/3q/cD9mP1y/U79Kv0B/Nf8sfyS/HX8V/w2/BT78fvP+677jvtu+0z7LfsT+vz64Pq9+pr6ffpk+kf6J/oL+fb54vnJ+an5ivls+Uv5JvkC+OT4yfip+IP4YfhF+Cr4Cvfl9773mvd391P3M/cW9vf21Paq9n72UPYe9er1u/WU9XP1TvUk9Pf0yvSg9Hf0UfQs9Abz3fOx84fzYPM68xTy7fLH8qLye/JS8ifx+vHO8ajxhvFk8TzxEfDn8MLwn/B68FHwK/AM7/Lv2O+675nvee9d70bvMu8c7wLu4u7D7qnuk+587mPuTu5A7jjuMu4s7iLuFu4H7fXt5e3b7drt4O3p7fDt8u3v7evt6O3n7eXt5O3o7fXuB+4W7iDuKe427kjuWu5r7nnui+6h7r7u3O727wvvHu84717vjO+x77zvsu+w7+HwVfDo8VjxefFh8U/xefHV8jDyXPJT8jXyIvIo8knyg/LP8yXzdvO68/b0MvR49Mn1IvWF9fn2e/b792D3lPec95H3jvei98f37fgE+AX39vfk99337PgT+FH4m/jc+P74+/jh+MX4rviV+HX4U/gy+AT3uPdL9tn2g/ZZ9lP2aPaT9s73Bvci9wr2s/Yj9W/0s/QO85LzR/Mu80fzh/PY9B70TPRp9IH0mPSs9Lv0yfTX9N703PTY9OH0/fUk9Uj1ZPV/9Z/1w/Xg9e318PX29gj2HfYm9h32FfYb9iH1/fWd9Sr08fUe9Yz17PYS9hD2FPYr9kH2R/ZL9l72dfZv9j/1/PXN9b/1uvWa9U704/R+9D/0KfQf8/nzrfNc8yjzAvKm8d3wvu+q7v/u0+7x7xjvKu8s7yDvAe7M7o3uUu4b7d7tmu1e7THtCuzZ7J3sY+w17BDr6uvB657riOt663Lrc+uB65jrruvC69jr9OwS7C7sSOxi7Hnsh+yH7H7sdOxu7G/sdex+7ITsgexy7FzsRewy7CPsGewU7BbsIew17FLsceyN7Kjsxezl7QPtHe047VntgO2l7cbt6u4b7lHug+6u7tvvEO9J73vvqO/Z8BbwWvCa8NnxHvFt8b3yCPJQ8pfy4PMo827ztfQB9E/0mvTk9TL1hfXa9i32f/bS9yb3fPfU+DD4kfjz+VT5sfoM+mX6vfsY+3b72/xD/Kf9AP1P/Zn95f4u/mn+lP63/uP/Hv9h/6H/2wATAEgAdwCeAMEA6QESATkBXAGAAa0B4QIVAkMCagKPArkC6QMdA08DewOiA8YD6wQSBDYEVQRzBJAErQTKBOcFCgU1BWkFoQXVBgAGIQY9BlsGfwapBtcHCQc8B3AHpAfUB/wIGwg0CE0IawiKCKYIvgjXCPIJDQkjCTYJTAllCXcJeglyCWkJZQlnCW0JdgmGCZoJrwnGCeMKCAowClUKewqpCtwLDws+C3ILsgv8DEYMhgy/DPcNLw1cDXENbA1TDS0M9wywDFsMCQvSC8gL7gw0DIMMxgz2DSENVg2WDdYODg5GDo8O5Q8pD0MPOQ8wD0QPcQ+ZD6sPrw+zD7kPsw+YD2cPJg7cDpAOSA4KDdMNnQ1nDTcNDQznDMEMnQx9DGAMRAwzDDgMVAxwDHcMYQw8DBsMAwvwC9sLvwuXC18LGQrUCp8KgQp0CmgKUAopChoKDwoWCiIKKgouCjYKRgpYCmkKiArICygLjgvgDB8MXQyjDOQNCQ0VDR4NNQ1XDXUNhA2EDXUNXw1MDUsNXQ1yDXENTA0NDMgMkQxtDFgMQwwfC+sLswuEC2ULTQs0CxQK8ArICpwKcApQCj8KOAotChsKCwoLCh0KPQpoCp8K2wsPCzILTAtiC2wLWQsjCt0Knwp0CkwKGQnZCZEJRgj7CLYIgwhkCE0IMggYCAkICggLB/EHsAdWBv4GwgakBpQGfQZYBisF/AXLBZoFbQVNBTkFJwURBPsE7ATlBOQE4gTiBOQE5wTtBP0FFgUsBS0FFwT7BO4E9gUGBREFEQUJBP4E9AT2BQ0FNwVjBXkFaAUyBOkEpARyBFcETQRKBEgESQRQBGEEeASNBJYEiQRkBDkEIAQqBEsEZgRnBFUEQAQxBB8EBgPqA9ADrANvAxwCxwJ/Aj0B9QGmAVkBDQC5AFn///+//5f/av8h/rb+O/27/Tr8tPwo+5j7CvqC+fz5cfjb+EL3svcu9qz2KPWu9U71DfTh9L70oPSC9Fv0K/P+897zyfOz85vzifN882jzSvMo8wfy3PKs8qvzH/QI9QT1oPXG9cv2B/Zz9sj21fay9ov2b/ZN9hv16fXG9bD1mfVx9S/01PRy9Cn0CfQI9Afz+PPi89LzxfOv84vzWfMV8rjySvHg8YHxHPCg8Bjvre9473Dvc+9q707vI+7q7qnube5G7jbuMu4z7jruTu5u7o3umO6J7mTuNu4K7eHttu2H7VjtMu0i7S/tV+2D7ZPtbO0K7IjsCOub60XrAurU6rrqruqh6o3qbOo+6f7psulk6R/o5+i36IzoZehD6CPoBefs59fnwOej53/nWOcy5wjm3Oay5pDmeeZt5nLmheag5rPmv+bO5uznFOc651nngOe45//oTein6Rnpm+oV6nHqtOr260TrkuvX7BbsXeyo7OXtCu0c7S3tSO1k7WvtQOzT7Dvrset064/r1OwC7AjsDOw07Hjsq+y47L/s9O1m7fPudO7d70DvpO/78DTwU/Bv8Jzw1PED8R3xKPE28VHxdvGX8arxufHc8iPyhPLj8ybzUvN686nz2fP+9BT0FvQB89TzpPOU87Lz7fQk9FD0fvS89QH1OvVo9Zv13fYi9l32j/bI9xT3b/fO+Cb4bvim+NX5C/lS+aT58Pow+nP6y/s++8D8N/yQ/Mn89f0x/Yr99f5f/sL/Lf+tADUAsAEbAYQB9wJsAtQDLAN+A8sECQQ3BGYEpQTyBUAFiwXaBjEGiQbWBxoHWweZB9AICAhSCLQJIgmGCdkKHQpVCn8KmgqzCtgLDQtDC2ELTgsGCqMKVwpBClgKcQppCj4KBAnWCcsJ+QppCwgLqAwkDHYMug0HDWENvA4IDkAOZA58Do0OmQ6WDn8OWg41DiEOJw5MDpMO6w86D2gPcw9wD3gPmg/TEBEQRRBnEIUQqhDSEPERAhEXET4RaxGHEZARjxFwEP4QKw9ODu0PJw99D0UOZw2JDWUOFA78D3EPSw7fDpAOgw6aDqcOhw42DdANhA11DZQNsg2oDXUNKQzPDGIL6gt8Cy8K/wrdCr4KowqNCnQKUgorCgcJ4wmxCW8JLQj8CNoIsghzCCEHzAeDB0YHDAbNBokGQQX7BbwFiwVlBUQFIwUBBOUE0AS6BJ0EdgRKBB4D8QO/A4sDXAM4AxwDBALtAtoCywK8AqYCiAJmAkACFwHoAbUBggFSASkBCgDvANQAtQCVAHcAWgA9ACIAEAAH//v/3v+y/4j/a/9a/0j/Lv8R/vf+5P7Y/tD+xv6y/pP+dP5e/lP+Sf49/jX+Nf43/jL+Jf4a/hf+GP4Z/hn+Gv4a/hb+D/4M/g/+E/4W/h3+Lf5B/k7+U/5a/mj+c/50/nD+df6H/pn+pf6w/sX+4f7z/vb++P8D/xb/Jv8v/zL/NP81/zj/Qf9P/2H/hf/PAEkA5AF5AeUCEgHvAY0BKgEhAZkCTALHAtgCyQL9A3YDxwOOAuECPAIFAjkCkALLAt8C5QLwAvgC4AKMAgEBbgERAQYBMQFeAXEBeAGGAZkBnAGNAXsBdAF1AW4BXgFQAUkBRgFAATUBKwEiARcBDAEFAQEA9gDhAMcAsgCgAIoAbwBVAEIAMAAV/+//xv+h/37/V/8s/wH+1v6r/n7+VP4r/gH90/2m/X39Vv0t/QD81fyw/I/8bvxN/Cz8CPvj+7/7nvuA+2L7RPsq+xL69frS+q/6kPp1+lf6NvoX+gD57PnV+bj5mvl9+V35OvkX+Pn43Pi8+Jn4evhf+EP4Hffw98X3ofeC92T3R/cq9wr25fa79o72XvYr9ff1yPWh9Xz1VPUp9P300vSr9Ib0YvQ79BLz5PO284nzX/M38xHy7fLJ8qPye/JQ8iTx+fHO8abxgvFf8TrxEfDn8MLwoPB88FfwMfAR7/Xv2u+9757vf+9k703vOu8l7wru6u7K7q/ul+5+7mXuT+5A7jbuLe4k7hruDO367ebt1u3N7cztze3O7c7tyu3D7b7twe3K7dHt0+3W7eLt9+4K7hbuHO4m7jXuRu5X7mjuf+6Y7rDuxu7f7vvvF+8t70LvYu+M76zvr++i77LwB/CX8SLxa/Fs8VjxafGv8gvyUfJp8lryPPIq8jjyafKz8wfzWvOl8+X0HvRX9J309vVe9dD2SvbF9zT3g/em96X3nfeo9833/vgi+Cv4HvgK+AL4Dfgt+GL4pfjk+Qr5FPkR+RL5Evj9+Mf4gPg++Af3yfd39xj2xfaS9oT2lfa/9vb3Jfcz9w72sfYg9W30tfQS85fzSvMp8zLzXfOY887z9/QY9Dz0Z/ST9Ln01/Tp9O706/Tt9QD1JfVO9W/1hvWX9aT1rfWx9bL1tfXA9df19vYS9iT2LfY49kD2LPXk9Xz1MPU59Y/1+PY39kj2TvZi9nf2e/Z19nr2jvaV9nf2PfYI9er10/Wh9UX01vR+9Fj0YfR39HT0QvPh82Hyz/Ir8XnwyfAx77vvZO8o7w/vHO8+70zvK+7j7pbuXe4w7fntte117UTtGuzo7Krsb+xA7Bjr7uvB65vrg+t2627rbut464vroeu2683r6ewH7CDsM+xE7FXsYuxo7GbsXuxV7E/sT+xW7FzsXOxR7D7sKOwT7APr++v56/3sB+wX7DHsUux07JLsr+zO7O3tCu0o7Ujtau2K7aftyu387jbubu6d7sru/u83723vne/O8AbwQvB/8L7xBvFV8aPx6/Iv8nfywfMJ80vzjvPX9CT0dPTF9Rf1a/W99gz2W/au9wX3Xfe0+Av4Z/jI+Sr5ifnl+jz6lPrx+1j7xPwr/Ib80/0a/WL9qf3m/hX+PP5o/qD+4v8l/2P/nP/TAAcAMwBYAHsAogDLAPQBGgFCAW8BoQHUAgICKQJNAnQCogLVAwgDNANZA3sDnQPBA+QEBwQoBEgEZwSEBKIExwT0BSgFXgWSBb4F4wYEBiQGRwZvBpwGzgcFBzsHbwefB8cH5gf+CBkIOQhbCHgIjwiiCLYIygjcCPEJDAkoCTgJNwktCSUJJQkqCTEJQQlaCXkJlwmzCdMJ9woeCkIKaQqVCscK+AsnC1oLmAvfDCoMcgy4DP0NOw1lDXENYA08DQ0M0wyMDEAMBAvvDAgMQwyGDLwM3wz2DRINPQ15DbkN+w5EDp8O/Q8/D1APPw84D1IPgg+pD7gPuA+1D60Pkg9jDyoO8A6yDmsOIA3aDZoNXg0jDPAMyQyoDIkMagxPDDoMKgwiDCsMRgxiDGYMSAwUC+MLwAutC58LjwtzC0QLBgrGCpkKhAp9CnMKWgo3CkMKRwpXCmMKZQpgCmEKbQqBCpgKvgsCC2cL2Aw4DIEMvQz6DTINVw1lDWsNeQ2RDaoNvQ3HDcMNsQ2bDZINpQ3IDd0NxA18DR4MzAyVDHUMWgw4DAwL2QunC3sLVws6Cx0K+QrOCp4KcQpOCjgKLAofCg0J+wnzCf8KIApRCokKvgroCwgLIws8C0cLNAsDCsIKiApbCjIJ/gm8CXAJGgjCCHUIQwgqCBwICAfuB9sH2AfWB70HgAcrBtYGmwaABncGagZNBiAF6QWxBX4FVQU7BSwFHgUMBPUE4QTYBNoE5wT1BP8FAAT+BQUFGQUqBSoFFgT9BPAE9wUIBRcFHgUYBQUE7QTeBOYFAwUpBUYFTAUzBPsEsQRsBEIEMwQtBCAEBwP1A/sEGQQ9BFEESAQmA/8D7AP5BB0EPQRFBDcEIgQPA/0D6gPZA8gDqgNvAx0CxwKAAkMCAgG5AW8BJQDTAHYAHP/X/6X/bv8f/rf+P/3C/T78tfwp+5/7FPqJ+fj5X/jA+CX3lvcU9pT2E/Wa9Tj08fS99Jf0f/Rt9FP0KvP789XzufOe84XzcvNi80zzLvMS8vry1fKn8q/zOfRE9Vv1+fYB9c31wfXu9h32JfYR9fj12PWk9Wf1PfU09Tv1N/UY9Nr0g/Qm8+TzyvPL88XzrPON83XzX/M78wfyyPJ78hnxqPE88OHwjfAv783vgO9b71LvTu9D7zDvEe7c7pfuVe4t7iDuH+4g7inuRu5v7o3uje5q7i/t8O277ZTtc+1P7SjtDO0O7TPtZu2B7WjtFeyi7C7ryet26zHq/erd6s7qyOq/6rDqlOpl6h3pxuly6S3o9+jH6Jzod+hY6DvoH+gJ5/3n8+fh58Pnn+d751XnKucC5uPm0ObI5srm1+br5v7nD+cn503nd+eU56Pnuefr6Dfoj+jw6V3p0uo16nPqluq76vLrMOtt67DsBOxe7KTsy+ze7PTtFO027U3tSO0Y7MPsauw+7FPshuyk7JfsfOx07IPsluyo7MvtFu2C7fzueO7573zv7PAu8ETwSfBd8Ibwt/Dg8PnxC/Ef8UHxbvGa8brx1PH98kbypfL68zLzV/OB87Xz5vQG9BP0EvP9883zl/N985Hzw/Py9Bj0SPSR9OX1K/Vd9Y71zfYR9k72g/bB9w73Yfev9/r4SPic+PD5QfmQ+d36Jvpp+rP7D/t++/P8W/yq/OH9FP1X/bb+J/6U/vr/Zv/lAG8A7gFeAcoCPAKrAwgDWAOnA/YEOARjBIoExQUXBW0FugYDBlEGpAbxBzgHege2B+kIGQhWCK0JEwl0CcMKAQoyClgKeQqiCtgLEws1CyIK0gpaCegJqwmxCdwJ/An3CdwJygnZChIKeAsIC6kMNgyVDM8NAQ0+DX8NtQ3ZDfMOEw5ADnYOoA6rDo8OWg4mDgcOBw4tDncO1Q8sD2IPdw9+D44PsQ/nECMQVhB6EJoQwRDrEQkRGBEtEVoRixGkEaYRrRGyEXUQyA/sD2oPeA+jD0IOPw1IDSQN5g7nD20PSg7VDnMOSQ5FDkQOKw3tDZwNZQ1iDYANjg11DUsNMA0bDOMMdAvmC2kLFgrnCssKuQqpCpYKeQpUCiwKAAnOCZkJawlICSUI8gitCF0IDgfGB4IHQAb9BrkGcQYpBegFtQWRBXkFYgVIBSgFCATsBNIEsgSIBFMEGwPjA60DfgNaA0UDOwMyAyUDEQL5At4CwAKgAnoCTwIhAfIBwAGKAVUBKAEJAPAA0gCuAI0AcwBhAFAAQAAyAB3//f/T/7D/nv+W/4f/av9I/y7/Hf8Q/wL+8P7Z/rz+nv6H/nn+b/5m/mH+Yv5j/lz+TP4//jv+Pv49/jb+L/4q/ib+If4i/ij+K/4n/iL+J/45/kv+Vv5f/m3+ff6E/oT+i/6g/rr+zP7X/uf+/v8S/xr/HP8l/zX/Rv9P/1P/Wf9j/3H/gf+T/6X/uv/dABgAaQDAAQYBIgEMANwA2QE/AgICtQLvArgClgL+A9UEgQSDA+sDMwLAAqcCyQMRA3cD6QQ/BFMEEwN/AqoByQEnAPEBEgFGAV0BXQFnAYMBmgGYAYQBdwF6AYIBggF7AXMBbAFlAVwBVgFPAUQBNAEnASABGAEHAPAA2gDKALkApACPAH4AbwBXADQADf/q/8j/pP99/1T/Kf77/sv+nv5z/kX+Ef3b/an9fv1U/Sj8+/zQ/Kj8gvxg/D/8Hvv5+9T7s/uW+3z7X/tC+yb7CPrm+sP6o/qH+mj6Rfoi+gb58Pna+b/5o/mG+Wf5Rvkl+Qf46vjM+Kz4kfh4+Fr4MPgA99P3r/eS93X3Vfcy9w726Pa+9pH2YPYu9f/11fWv9Yj1XPUs9P/01fSu9Ij0YfQ59A7z4POx84PzVvMs8wfy5vLG8qLyevJR8iryAvHY8azxgvFe8T3xG/D18M/wqvCG8GHwPPAZ7/nv3O/A76Tvie9v71jvQ+8s7xHu8+7U7rnuoO6G7mzuVu5E7jbuK+4i7hjuCe307d7tze3G7cPtv+267bTtre2l7aPtqu267cjtze3P7drt8O4F7hHuFe4e7i3uPe5M7l/uee6U7qbusO7E7urvF+807z7vSu9q75TvrO+p76jv2PBF8MzxNPFj8Wnxb/GW8eDyNfJx8nvyWfIv8ibyS/KS8ubzOvOL89T0D/RC9H700vU59aX2DvZ79uz3VPea97T3s/e198739/gb+Cv4Kvgo+C/4Qfhb+IL4ufj2+Sr5TPlm+Yf5pfmk+Wr5A/iR+DP37Pes92T3F/bV9rP2vvbt9yX3SfdD9w32qfYd9Xb0x/Qo86rzVfMr8yvzSvN486XzyfPp9A/0P/R39K302fT29QX1DfUa9TH1UfVw9Yv1nvWm9Zz1gvVj9VL1VPVn9Yb1s/Xq9h/2Q/ZW9l72VfYm9c71cvVS9Y32APZl9pX2n/aj9qn2o/aQ9of2lfaq9qX2ffZI9h719fWx9Uj00/SA9Gj0hvS89N30wPRL84bypvHy8ZfxgvFu8Rfwcu+17zTvFe8972PvVO8P7rvud+5B7gjtx+2K7VntL+z+7MTsiuxX7Cfr9+vH66Lri+t+63brcet164Lrluuu68nr5uwB7BXsI+wv7DvsR+xT7FjsVOxJ7DzsNew17DjsNewr7BvsCuv36+Xr2uva6+Pr8OwA7BfsNuxa7H3sm+y37NXs9e0W7TftV+107ZDtsO3a7g/uRe547qru4O8a71Pvie+77+/wJfBf8J/w6PE18X/xwPIA8kXyj/LW8xjzWvOh8/D0RvSe9Pb1SvWZ9eT2MvaI9uT3PveU9+n4Qvif+P75XPm2+g76Z/rI+zT7pfwO/Gb8r/zz/Tf9dP2h/cP96P4d/mH+qP7p/yX/Xf+T/8L/6QAOADQAXACDAKsA1gEFATYBZwGVAcAB6AIPAjYCYAKNArsC5gMMAy8DUgNzA5UDtwPbA/8EIQRCBGQEjAS5BOwFHwVQBXwFpAXJBe4GFQY+Bm0GoQbXBwwHPwdsB5QHsgfJB+IIAggkCEQIXghzCIQIkgifCLEIygjgCOoI5QjeCN0I5QjuCPsJEAkxCVcJewmaCbsJ3goECikKUQp+Cq0K3AsJCzwLeAu8DAQMTgybDOgNLA1aDWkNWw03DQMMwQxzDCsMAgwMDEQMjAzGDOcM9Q0ADRMNNg1qDa0N/g5eDsUPIA9VD10PTw9ND2UPhg+aD50PmQ+WD4gPZg8zDv4OzA6VDlIOBw2/DX4NPgz+DMUMmQx4DFoMPQwnDBsMFQwVDB0MMQxFDEQMIQvnC60LhAtwC2gLYgtRCy0K+ArBCpwKjwqNCoQKbQpSCngKiAqeCqwKrQqmCqMKqgq6CtAK9Qs4C5wMEAx3DMEM9Q0kDVQNew2TDaINsw3IDd0N7A31DfYN6A3ODbwNxw3vDhUODw3ODWsNDgzNDKMMfwxZDC4L/gvHC44LXgs9CyMLAwrZCqgKeQpSCjUKIQoSCgIJ7wniCekKCgo+CnYKpgrLCukLBAsaCx8LCgrYCpkKXQotCgIJ1AmaCVMJAAioCFwIKggRCAAH5wfIB64HoAeVB3kHRAb5BqwGcQZRBkcGPwYrBgYF1wWoBX0FWQU9BSoFGgUMBPwE7QTmBO0FAgUbBSkFIwUQBQQFCAUUBRcFDAT7BPEE8QT5BQUFDQUJBPUE1wTABL8E0gTxBRMFLwU0BRIEywR3BDkEHgQRA/oD1AO2A7oD3AQFBBsEGwQMA/4D9gP4BAMEDgQRBAgD+APoA9gDygO+A7ADlANfAxMCxQKDAkkCCgHBAXYBKQDVAHkAHv/U/5b/Uv77/pf+Lv2+/UL8uvww+6r7IfqO+e/5SPij+Af3efb09nX1+/WN9S/04PSg9HL0WfRL9Db0EvPp88XzpfOD82PzTvNC8zPzHfMM8wHy5/LF8tvzevSa9bv2SfYl9bL1ZPVa9Wr1cPVr9V31NvTs9Jr0avRo9Hv0g/Ry9En0DPPK85bzffNu81DzI/L58uDyyfKc8lbyCPG18VXw5/B58CHv3e+j72/vS+887zjvMO8h7w7u8e7A7n3uPe4W7gnuBu4H7hPuMe5X7m3uYe4y7fHtr+187V/tTO027RjtBO0S7UHtbu1q7SHsruw/6+zrsOt26zrrCOrr6uDq2urO6rzqnupt6iTpz+l/6T7pCejY6LDoleiF6HXoXehJ6EDoQeg66CToBefj58DnmOdv50/nPuc55zznR+da527ngOeV57Pn1efx6APoHOhL6JHo3uky6ZDp9+pN6n3qjeqY6rLq2+sP607rmOvb7AXsGOwq7EvscuyS7KnsvezI7MDsqOyX7J3srOyr7JLsc+xj7Gfseeyd7NntJ+1+7d/uV+7r73/v6vAY8CHwKvBH8HHwl/C18M3w5PEB8SzxZfGg8c/x8/Ii8mryvvMC8yvzTPN787fz6fQA9ALz+fPj87rzivNx84LzrPPW8/r0LPR69NL1G/VM9Xz1uvYC9kP2fPa59wT3Uved9+r4Q/iq+RP5cfnE+hH6W/qj+vH7Svut/BD8aPyz/PX9Ov2N/fH+Xv7H/yn/kwAPAJUBEgGAAesCWwLFAxsDZgO7BBkEaASWBLoE9AVKBaEF4wYbBmIGvQcZB2IHmgfIB/QIHwhSCJQI5Qk6CYoJ1wofCmEKmwrPCvgLCgr0Cq8KTAnpCaMJjAmcCbUJuwmtCacJygogCpoLJgu2DDsMpwz3DTgNdw2xDdANxw2jDYMNhg22DgUOUQ57DngOWA4xDhUODw4mDl8OsA8CDz8PZw+FD6QPyg/5EDAQZRCQELgQ5REQESoRMRFBEWwRoBG7EcAR1BH6EesRZRCVD/8P5g/jD1UOJQ0FDMQNfg6NDzkPSw8IDsAOjA5iDjUN+Q2sDV4NMQ00DUYNNAz6DMwM2A0FDQoMswwaC4ELGwrmCswKuwqvCqQKlAp4Ck8KIAn0CdQJvAmbCWAJCwivCGEIIgfqB7AHcwc0BvUGsgZtBi0F9wXPBbYFpgWQBWsFPQUXBQAE7wTQBJwEWwQcA+MDsgOMA3IDZQNfA1kDTQM4AxwC+wLZArMChgJWAiUB8QG2AXYBPQEYAQIA7QDOAK8AmQCMAH4AZwBOADYAHP/+/+P/0//K/7j/l/9z/1r/TP9B/zD/Gv8E/uv+0f66/qv+ov6a/pP+jv6K/oH+df5t/m7+cf5q/ln+SP5A/kD+Q/5H/k7+UP5H/jn+M/4//lP+Y/5u/nv+jP6Z/p7+pv66/tf+7v76/wT/Fv8s/z7/Tf9c/23/ef96/3n/fv+M/53/rv+//9D/3//s//8AHwBLAG0AbgBLADAAYQEFAeECeAJzAgUBzgJCAzcEEARUBAQDdQLxApUCfgLTA5YEfwUkBUgE7wQ5A0QCOQFdAPIA+gE1AV0BYgFmAX4BmwGiAZABfgF7AYIBhgGCAXwBeAF0AXEBbwFtAWQBUwFDATkBMwEoARUBAgD0AOkA2wDLALsAqgCSAHMAUQAvAA7/7P/I/6X/gP9V/yT+8v7B/o3+U/4V/dv9qf16/Uz9Hvzy/Mf8nvx3/Ff8OPwW+/H7z/uy+5j7evtZ+zj7GPr4+tf6t/qa+nr6V/oz+hT5+fnh+cf5q/mN+W35Tfkt+Q/48fjT+Lb4nviG+Gf4PvgP9+X3xPeo94j3Yfc29wz24/a59oz2XfYu9gb14/XA9ZX1ZPUw9QD01fSs9IP0WvQw9AXz2/Ov84HzVPMp8wTy5vLK8qnygvJb8jfyE/Ho8bjxivFk8UjxLPEM8OXwvPCT8GvwRPAg8ADv4+/I76/vlu9+72bvTe807xju+u7d7sPuqe6P7nbuX+5L7jvuLu4i7hbuBe3v7dntyu3E7cDtue2v7aftoO2a7ZrtpO247cntzu3P7dft6u3+7gjuDO4W7ijuOe5H7lnuc+6O7p3uo+617uPvHu9G70/vTO9f74rvtO/E78Lv0vAP8Hfw6/FH8XnxifGX8cXyGPJv8pfyfvJG8iXyOvJ48sXzFvNq87z0APQ19G70vPUb9Xv11PYz9qT3HfeC97v3y/fN99j38fgO+CP4MfhC+Fv4d/iS+LT45vkn+Wb5l/m++er6G/o2+hT5rfke+Jn4QPgM99v3kfc49vX26/cV9073afdR9wj2m/YT9Xf00vQ387bzXfMv8yzzSPNz85/zxPPl9An0OPRy9K704/UI9SH1M/VF9Vb1ZvV39Yz1oPWi9YT1S/UT9Pj1AvUi9Uz1gPXE9g72RvZi9mz2bfZX9hD1p/Vd9XT16fZ39tX28fbr9t32yfas9pf2nva69sj2sPZ/9kv2FfXH9Vb03vSK9HT0mfTY9Qb07vRq84ryn/IT8hbycfKj8kjxYPBJ73TvGu8h70PvSO8f7tnuje5J7gvt0e2e7XDtRe0X7OLsq+x07EDsDuvi673ro+uR64TrfOt664Lrk+us68fr3+v07AXsFewj7C/sOexD7EnsRuw57CrsIOwf7CDsGewM6/7r8Ovg683rveu668fr2uvt7ALsH+xE7Grsi+yn7MPs4u0D7SPtQe1d7Xntlu247eLuEu5I7oDuuO7x7yjvXu+T78fv+/Az8HXwwPEN8VPxkPHM8g3yU/KZ8tzzIPNr8730FfRv9Mj1G/Vn9bH2AfZb9rv3F/dt98P4HPh2+M75JvmB+d/6Pvqf+wb7cfvX/C78ePy+/QL9O/1g/X39pP3h/in+bv6p/uH/Gf9O/3j/m//B/+wAFgA5AFwAiAC+APYBJgFQAXkBpAHOAfYCHQJEAmwCkwK7AuIDCAMrA00DbwOTA7kD3wQGBC0EWASFBLQE5AURBTwFZAWMBbYF4gYQBkMGegayBuYHFQdAB2QHgAeVB6sHxgfnCAgIJgg/CFMIYAhpCHYIhwiWCJkIlQiUCJwIqwi8CM8I6wkQCTgJXQl+CaAJwwnlCgkKMQpfCo4KuwrpCxsLVAuUC9gMIQxtDLkM+g0pDT4NPQ0nDPwMvQxvDCwMEww0DH4Mywz7DQwNEA0ZDSwNTA1/DcoOLg6eDwQPSg9nD2QPWw9fD3APew92D2cPWw9UD0gPLQ8FDtoOrA51DjMN7g2uDXQNNwz1DLcMhAxeDD4MIwwODAML/wv/DAMMCwwSDAkL5wuyC3wLVAs+CzULLwshCwQK2wqzCpwKmQqcCpcKhwp4Cq8KyQrkCvgLAAsBCwELBAsMCxsLOgt2C9UMRAylDOYNDw00DWINkw25DdMN6A39DgwOFQ4aDhsOEg36Dd8N2Q30DhkOHw3xDZ8NTw0TDOYMugyLDFsMKAvqC6ULaQtDCykLCgrfCq4KfwpUCi8KFAoDCfcJ5wnaCd4J/QouCmIKjQqwCs4K5wr1Cu4KzwqZClgKHAntCckJpgl6CT4I8wihCFkIJggHB+0HywejB3wHXQdDByMG9wa+BoAGSgYlBhMGCQX8BecFzwW3BZwFegVTBS4FFgUOBQ8FEQURBRUFJQU7BUgFPQUhBQYE/QUBBQYFAgT5BPAE6gTnBOoE7ATlBM0ErQSWBJMEpATCBOoFFQUwBSEE4gSJBD0EEQP3A9YDrAOQA5MDrAPDA9ED4QQABCQEMwQgA/kD1QPAA7kDtwO1A7ADqAOfA5IDdwNIAwgCxQKKAlECDwHCAXEBHwDFAGMAA/+x/2j/F/66/l7+Df25/VH8z/xC+7b7JvqH+dj5J/h/9+X3VvbQ9lP15PWE9Sz02fSN9Fb0N/Qi9AXz3fO4857zhPNh8z7zK/Mo8yPzGPMU8xjzEPL/8ybz1PT69g72evYj9Xv0//TT9M/0yvTB9LH0hfQ2893zovOR85Pzk/OM837zZfNA8xjy9PLL8pDyUfIl8hLx/PHC8WXxAfCm8E7v8O+Z71vvPe8v7yPvGu8X7xnvFe8I7vDuzu6e7mPuLO4E7e3t4e3g7fLuFO407jzuIu3v7bHtee1S7UDtO+0v7RftBe0S7T3tWe017M3sTevv68LrquuE60vrFOry6uPq2OrG6q3qi+pa6hjpzemH6UzpGOjp6MfovOi/6L/oseic6JLolOiT6IPoaOhM6C/oDefl58PnsOer56/nuefM5+Tn+egK6B/oOuhZ6HjonejO6QjpQel66bzqCOpL6nPqf+qB6orqo+rK6vvrKOs96zfrK+s361vrfuuO65PrqOvX7BLsRuxt7Ibsjex97GLsS+xC7ErsaOyh7OztNe117cLuOu7W72Xvu+/b7+zwDfA58F7wePCQ8Kzwy/Du8R3xXfGf8dPx+fIp8nDyvvL58xzzO/Nt86vz2vPn893zy/O085Tzc/Nm83zzqfPX8//0MfR49Mf1CPU39WX1o/Xu9jP2bvaq9vP3Sfej9//4YvjM+TL5j/nm+jn6ivrY+yX7ePvN/CD8b/y//RX9cv3U/jf+l/7y/0//uQA0ALQBJgGMAfYCaQLWAy4DfQPdBEoEowTTBPQFMQWKBdgGAwYsBoEHAwd7B7YHvAe7B9YIDwhTCJYI2wkmCXoJ2Ao7CpYK2gr/Cv4K2AqWCkwKEAntCdsJzwm/CagJkwmQCbYKFAqfCzwL0AxLDKsM+A0/DY8N5Q4rDj4OEQ25DWUNPg1VDZsN8A4zDlYOYQ5fDlcOTQ5ODmcOlw7TDw4PRw9/D7EP2hACEDIQaxChENIRBBEzEU0RURFYEXwRrxHREd8SABI5EkkR5REnEIkQUBAnD3IOGgzHDEkM0Q3YDrMPGw8uDxwO9g69DnYOIw3FDW8NQg1HDVINLAzXDJUMogziDPoMrQwWC4MLKgsGCvEK1Qq2CqIKlwqGCmYKPQodChEKCQnkCZAJHgi0CGwIQQgaB+oHsgd3BzsG/wbEBooGUQYfBfwF5wXRBaoFdgVJBTQFKgUUBOMEoQReBCQD9QPMA6gDjAN9A30DgwN8A18DMwMJAucCwQKQAlkCIAHlAaQBYwE0ARwBDgD6AOMA0gDFALEAjwBsAFQARQA0AB0ACP/3/+L/w/+h/4j/e/9v/13/Sv83/yX/D/76/uz+5P7c/s/+wf62/q/+qP6k/qf+qv6h/or+dP5r/m/+dP50/nP+cf5r/l3+VP5a/m3+fv6I/pL+of6y/r3+xP7U/u7/CP8Y/yL/MP9G/2D/ef+R/6b/r/+q/6P/pf+w/73/x//U/+b/9///AAQAFQA2AFEASAAd//8AMQDJAYQB8AHPAV0BIQFyAisC2QMrAyQC6gKRAi4CAwJmA2AEjQVfBZQFSQS2A+kC6AHkATMBBAE0AXABhwGFAYkBmgGkAZwBjgGGAYQBgAF7AXsBfgGAAXsBcwFuAWkBYAFVAU8BTAFHAToBKQEdARUBDAEAAPEA4gDQALoAnwCBAF8AOQAU//L/0P+o/3f/Qf8J/s/+kv5S/hT92/2m/XP9Rf0b/PH8xvyb/Hb8Vvw2/BL77vvP+7L7kftu+0r7KvsK+un6yfqp+or6avpI+if6C/nx+db5ufma+Xn5V/k2+Rb49/jY+L34pfiM+G34Rfgb9/b32Pe895n3bvc99w724/a49oz2XfYz9hD18fXP9aL1bfU49Qn03/S29Iz0YPQ19Azz5PO885HzZPM58xXy9/La8rjykfJq8kXyIPH08cXxl/Fz8VjxP/Eg8PrwzfCe8HDwSPAn8Azv8+/b78HvqO+N73LvVu857xzvAO7l7svuse6X7n7uaO5V7kXuNu4m7hTt/+3o7dPtx+3C7b7tte2p7aDtme2U7ZTtoO217cjtzu3N7dDt3u3t7fTt+O4E7hruMO5A7lHuau6E7pXun+627ujvJ+9S71vvVO9e74bvue/a7+Lv4u/58DrwpfEd8XzxqPGw8cTyBvJm8qryqfJ38krySvJz8rDy9PNB85Tz4PQf9F30qPT/9Vb1qvYI9n73Afd298L34/fr9/H4Avgc+Dj4Uvhs+Ij4pfjC+Ob5Gvlc+Z75zfns+gz6Pfpu+nX6Lvmn+Rb4tPiL+G/4LffA91f3Jvc492P3cvdK9vH2d/Xs9VX0vPQr87PzX/M18zLzTPN186Pz0PP59CT0VfSO9Mj0+fUa9S/1QPVO9Vj1XPVk9XP1gvV69VH1EPTb9NL09/Uw9V/1h/W49ff2MPZS9mL2cPZw9kD11vVp9VL1tPZY9uH3Hfce9wn27vbO9rP2svbL9t/20/an9nD2MvXe9Wv08fSc9Ib0qvTm9RD09vR5867y6/KQ8rrzHfM98snx2fDG7+jvYe8m7xjvGO8M7uTuo+5b7h7t7O2/7Y3tWO0k7PHsu+yE7FDsJOv/69zrvOuh64/rheuB64brleur68Hr0+vh6/HsBuwa7CjsMOw27DjsM+wl7BPsCewK7AzsBev06+Tr2OvN673rq+uk66/rxevb6/HsC+wv7FfseuyV7K/szuzw7Q7tKO1C7V/tfe2c7b/t6+4i7l3ule7G7vXvKe9g75fvzfAI8EzwmPDk8SnxZ/Gi8eDyIvJm8qry8/NB85Tz6fQ/9JP04vUs9Xb1x/Yk9oT24Pc495H37fhH+Jv48PlR+br6I/qB+tr7NfuP++P8Lvx3/MD8/f0o/Un9df2z/fj+M/5j/pX+zv8C/yv/TP90/6T/0f/yABEAOQBxAKsA3AEGAS8BWwGHAa8B1QH5Ah8CRAJrApUCvwLnAwwDMANVA3wDpAPQA/0EKwRXBIMErgTZBQMFLQVXBYMFswXmBh4GWAaRBsMG8AcXBzgHUAdjB3YHjgerB8oH6QgGCB4ILQg3CEEITQhWCFkIWQheCG0IgQiXCLEI0gj5CR8JQglkCYgJqgnHCeYKCwo5CmoKmArFCvYLLAtnC6YL7Qw3DH8MuQziDPoNAgz7DOAMrgxuDDoMNAxlDLcM/w0hDSINHg0oDUUNdA22DhIOgQ7uD0APaA9qD10PWQ9kD28Paw9UDzgPIQ8RDwEO7Q7SDq8OgA5GDgcNzA2aDWoNNQz3DLgMgAxUDDIMFwv/C+0L4gveC94L3gvXC8QLowt5C04LKwsRCwAK8wrkCs0KswqdCpcKoAqqCqoKowqiCuULBgsmCz8LUAtcC2QLaAtqC3ILigu/DBMMdAzFDPkNGQ0+DXcNtw3rDgoOHQ4rDjcOPA4/DkAOOw4mDgQN6g3rDgAOCQ3wDbsNgg1WDS0M/gzHDI8MUgwJC7sLeAtMCy4LDAreCq0KgApTCioKCgn4Ce8J5AnZCd0J+golClAKdAqWCrQKyQrLCrYKjApTChUJ3wm6CaQJjwltCTcI8QiiCFoIJAf9B90HtweGB1MHIgb3BtAGqAZ9Bk8GJAYBBekF2gXPBcwFzwXSBcYFoQVoBTEFEAUPBSMFOQVABTwFOgVBBUgFQQUpBQ8FAAT+BP8E/AT1BO0E5ATbBNQEzgS+BKEEfgRmBGMEdQSXBMQE9wUcBRoE6ASYBEoEEAPiA7UDigNzA3IDdgNvA2wDjwPjBEEEbQRJA+8DlwNnA2ADbwN/A4cDhgN/A3MDXAM1Av8CxQKPAlYCEAG+AWoBFAC0AEj/3v+C/zH+2/58/in97v22/WL84vxL+7H7Fvpu+bf4/fhT97r3Lfao9i/1yvV09SD0yvR69D/0HPP989Hzn/N782zzXvNC8yLzEvMR8w7zCPMO8yPzMPMz82n0HPU59jb2gvYM9Ur0u/R99GD0OvQN8+DzrfNo8yLy7fLQ8rzyrPKm8qfyoPKG8l3yKvHt8aLxW/Et8RXw8fCh8C3vue9e7xfu2e6u7qjux+7s7v3u9+7t7uzu8O7q7tHuqO547knuHO3y7c3ttO2y7crt8e4M7gjt4u2r7XPtRu0r7SPtI+0a7QHs6+zu7QjtEeze7HDr9+uq65LrjOty60DrC+rp6tjqyeq06pfqdOpH6g/p0OmS6VvpKej+6OPo3ujp6PHo5+jU6MjoyejL6L/opuiL6HPoWOg46BzoD+gO6BToH+gz6FDob+iI6Jzos+jP6PHpGulN6YPpsunV6fLqEuoy6krqWOpf6mjqeeqU6rbqyeq96pfqdepy6obqk+qH6nTqf+q+6yjroewN7FPsaOxa7EPsNuw37Efscuy67QrtRe1w7bPuLu7I70bvhu+j78nwAvAz8EzwXPB58KLwyPDq8RbxVfGV8cLx4fIO8lbyp/Lk8wnzK/Nb85PzuvPD87Xzn/OI83LzXvNc83jzrPPm9Bj0R/R/9MD0+/Uq9Vj1lPXe9ib2ZPag9uz3T/e++Cz4kvjw+Uj5oPn7+lj6r/r++0n7lvvl/DD8fPzV/T/9sf4c/nj+yP8X/3P/4gBeANYBPgGdAgoChQL5A1UDqgQTBIgE4QUMBS0FcwXTBhYGLQZWBtgHmggrCDMH0gd3B3kH1AhOCLkJDwldCbAKCApgCqsK1wraCrkKhApUCjsKPgpICjsKCgnGCZEJiQm3ChcKnAs1C8wMTgyyDPoNMg1vDb4OHw51DpwOfQ4mDcENew1qDYsNxQ4CDjYOYw6EDpQOjw6CDn8OkA6xDuEPIg9tD7AP3xADEDAQaxCpEN8REhFDEWURbhFzEY8RvhHlEfwSIxJjEoUSQBGeEQUQtxBxD6oOPQy2C98MCgznDeQOow8ODzIPIQ71Dr8Ofw4pDc0NlA2RDZoNdA0YDMUMtwzaDNsMhQv5C4YLXgtnC2cLQAr9CsAKmwqECmoKTgo7CjkKMwoJCbEJRAjuCL8IpgiFCE4ICwfGB4gHUQceBusGswZ4BkgGJgYIBd4FqQV8BWMFWAVEBRsE3wScBF4EMAQOA+4DyAOqA6UDtgO8A50DYwMxAxcC/wLSApICUwIfAegBqQFxAU8BQQE1ASUBFAECAOYAvACVAIAAewBxAFgAOQAiABD/+P/a/8D/sP+i/5L/gP9x/2L/Uv9B/zb/MP8m/xP+/v7y/u3+6P7i/t7+3f7W/sX+s/6r/q7+r/6l/pj+kv6Q/ov+gv6C/o7+nv6o/q7+uv7M/tv+4/7u/wT/IP82/0X/VP9o/4D/mf+x/8X/zf/J/8L/xf/P/9j/3f/o//4AEgAZABkAJwBLAHEAeABZADwAVgC3AS4BcQFcARcA8QEVAWgBswHhAf8CEQIAAcsBuAIkAx8EQwUOBVMFQgURBLID9QLtAfsBgAGEAbgB0AG9AaIBmQGhAacBpAGdAZYBjwGMAZEBmQGYAYoBdgFpAWcBaAFmAWIBXgFaAVIBRgE8ATYBMQEqASIBGgEQAQAA6wDQALAAiwBkAD8AGf/v/73/hf9I/wr+yv6L/k/+Ff3c/aT9cf1H/R788fzD/Jj8dfxT/DD8DPvp+8n7p/uD+2D7Pvse+vv61/q1+pX6d/pZ+jz6H/oF+er5zPms+Yr5aflI+Sb5BPjj+Mb4rfiS+HL4S/gl+AP35vfJ96X3ePdG9xb26vbA9pP2Z/Y+9hz1/vXa9az1efVI9Rz09fTP9KX0efRN9CLz+/PU86vzgPNX8zLzD/Lt8sfyn/J18kzyIfH28czxp/GH8WvxTvEs8QTw1fCj8HTwTvAz8B/wC+/y79Tvte+X73jvWu887yHvB+7t7tPuuO6e7oXucO5f7lDuQO4s7hTt++3i7c/txO2/7brtse2k7Zjtj+2J7YjtlO2q7b/tx+3F7cTtyu3T7djt3e3r7gPuHu4z7kfuXu537orum+647unvIO9G71DvTu9Z737vr+/X7+vv7+/28BrwbfDn8WTxtvHQ8dnyAfJT8qbyx/Ky8ozyfPKM8q/y3vMb82fztfP+9EX0kfTk9Tn1lPYB9oT3DveE99T3/PgL+BP4JPhD+Gr4kPis+MH41Pjs+RD5Qfl9+bf54Pn1+gf6K/ph+of6bPoE+Xv5FPjr+N34rPhA98H3a/dX92T3X/cp9sL2PPWq9Rf0jPQQ86rzY/NB80DzVvN8863z4/Qa9E/0hfS89Oz1DfUb9SH1J/Uw9Tj1PfVC9Un1SPUy9Qn04PTW9P71T/Wh9c/12PXb9fX2H/ZC9lb2ZvZz9ln2APWI9Uj1gPYW9rL3C/cf9xL2/Pbg9sb2v/bP9uH22faz9n32PvXr9X71DPS99Kv0zvUI9S/1G/S49BzziPNA80vzavNL8szyEPFN8J7wBO+C7yzvCu8F7vXuxe6F7k3uH+3u7a/tau0t7PjsweyI7FTsLewO6+7ryuuq65brjOuG64brj+ug67Trw+vP697r8+wI7BbsHuwk7CjsJewV7ADr8evv6/Hr6+va68frvOu266/ro+ub66Hrs+vJ6+Dr+uwc7ELsY+x87JXstuzb7PztFO0t7UrtbO2M7a3t1u4M7kbueu6j7szu/e8373TvsO/t8DHwevDE8QjxSPGH8cfyB/JH8ony1PMk83bzxfQS9F/0q/T19T/1jvXn9kP2nvb291T3tfgS+Gf4v/kn+Z76Efpv+rv7BvtW+6X77vw0/H38wfz4/SP9UP2J/cT99f4d/kn+f/60/t7/Af8q/1z/jP+v/83/9AAnAF4AjwC7AOcBEwE8AWEBhQGsAdUB/AIkAk0CegKlAs4C9QMcA0MDbgOdA88EAAQuBFgEggStBNkFBAUvBV0FjgXFBgAGOwZxBqAGygbvBw0HJAc2B0kHYQd8B5cHswfPB+kH+wgHCBIIHQgnCC4INAhACFIIaAiBCKAIxAjqCQwJLAlQCXUJlQmuCccJ6goVCkIKbwqdCs4LAQs1C20Lrwv5DD8MeAygDLoMyQzKDLcMkQxiDEUMVAyTDOYNJQ05DS0NIQ0xDWENrQ4KDnIO2Q8uD2APbA9eD08PTw9bD2IPWA8/DyAPAg7nDs0Otg6eDnwOSw4QDdcNpw1+DVUNJgzwDLMMdwxGDCYMEAv3C9wLxgu9C7wLtgujC4ULYwtBCyALAArjCssKuQqqCpsKjwqMCpYKqgq7CsEKwwrNCxgLPQtgC3sLkguoC7gLwQvEC8kL3AwJDE4MnAzbDQENHA1HDYwN2w4YDjYOPw5GDlEOXA5iDmEOVw4+DhUN7Q3aDd4N5g3dDb8NmQ14DVUNJwzvDK4MZQwTC8ELfgtRCy0LAwrTCqQKegpSCikKCQn4CfAJ5wngCecKAgomCkgKZgqFCqIKsQqqCo0KYQorCfUJywmzCagJmQl2CT4I9ginCFsIHAfwB80Hpgd0BzkG/QbHBpgGbgZGBh8F/QXiBcwFugWxBbkF0AXlBeAFtwV2BTkFFwUZBTQFUAVaBU4FPAUzBTQFMwUnBRYFCAUABPoE8QToBOAE1wTMBMIEtgSjBIQEXwRCBDgERgRoBJkEzgT1BPoE2gSgBF0EGwPZA5oDawNXA1EDQAMfAw4DOgOqBCkEaARAA9IDZAMnAyIDOgNUA2EDYANZA1EDQQMeAuoCsgJ9AkQB/gGrAVkBCACsADz/yP9n/xX+wf5k/hX94P2y/WD82fwz+4367/pH+Y74z/gg94j2/vZ/9gv1qvVV9QL0rPRe9Cf0AvPc86fzbvNL80HzPfMr8xLzBPL/8vTy6fLy8xTzM/NF83/0J/Ut9hb2XfX09UL0uPRs9C7z2/N58x7y0fKP8lzyPfIp8hTx//Hx8erx2fG18YLxSfEH8LvwcPA18Abvx+9l7u/uiO5B7hDt7u3p7hXuae687uLu2O697rHut+647qLuee5L7iLt/O3R7aXtiO2H7aHtxe3Y7crtne1j7S7tCez07O3s6uze7MPsp+yd7KPsnuxs7A7rqutp61LrSus26xPq8OrZ6szqvuqp6o3qa+pD6hXp4emr6XjpTOkn6Q7pA+kF6Qbo/ejr6ODo4ujq6OXo0ei06JnogOhq6FzoXehq6Hjoh+ic6MDo7ekU6S/pP+lN6WHpgemx6enqF+os6inqHeoW6h/qMOpC6k7qWOpr6oPqkeqD6l7qPOov6i7qIOoA6eXp8uo56rfrUuvi7D3sVOw/7CnsJ+w37FbsjOzZ7SLtSu1k7aPuIe627yPvWO9+77zwBPAv8DjwRfBu8Kbwz/Ds8RPxUPGK8a3xwvHq8jPyh/LK8vbzG/NH83fzmfOl853zjPN682nzXPNd83jzr/Px9Cv0WPSE9L30+vUy9WP1nPXj9i/2cfau9vv3Zvfi+Fn4uvkL+Vn5sPoQ+nD6x/sT+137qfv2/ED8jvzu/WT94v5R/qb+7v87/5sADgCHAPcBWgG8AjACrQMcA3QDzQRCBMAFFQU3BVsFsAYcBlkGZgahB10IXQjxCKQHvQb3BtcHVAgKCKkJIgmBCc4KDAo4ClQKXgpVCkYKQgpVCnoKmwqZCmIKAwmsCY0JvQopCrALOAu6DDMMngz1DTYNZw2UDdAOIw5+DsEOyg6YDkgOAA3ZDdQN4w39DiEOTg58DpsOow6dDpcOmw6rDs4PDg9iD7AP5hALEDYQchCxEOcRFxFJEXMRiRGTEaoR0hH3EhESNxJ0EqESexH7EWwRDBC1D/IOkAzsC7gLbQv9DP0N+g6rDvkO/Q7mDtQOuw5/DiYN3Q3GDckNrA1eDQsM5gzlDMgMawvwC6QLsAvwDBkL+gubCykKzgqWCnkKaApeClQKOQoBCbAJZQk8CTUJMQkOCMUIaQgUB9EHnwdzB0EHCAbPBp8GeAZMBhUF2AWnBYkFeQVuBVoFMATrBJoEYARKBEIEKAP7A90D4QPpA80DjwNYA0IDNQMKAsICfwJUAi4B+AG6AY4BfAFyAWEBSAEtAQwA5QDBALEAsACpAI0AaQBOAD4AKgAP//X/5P/Y/8r/uP+n/5j/iv9+/3f/c/9m/0//Of8w/zH/Lf8d/w3/B/8I/wT++P7w/u/+7P7f/sz+w/7E/sL+tv6q/qv+uP7D/sn+0v7h/vD++v8E/xf/M/9N/2D/cf+F/5r/rv/A/87/1f/S/87/1P/g/+r/8QAAABsANQA9ADcAPQBeAIkAoQCcAI8AmgDHAP8BJAEqASABHgEpATQBNAE4AVUBgwGhAaIBtQIgAusDzQRqBLME4gUiBUkFBwRGA1wCuAKBAoICbgIxAfEB0QHPAc8BwwGyAacBpAGlAacBqgGnAZoBiQF/AYABhAGAAXMBZgFeAVkBVQFSAVEBUQFSAVEBTwFHATYBHgEEAOoAzwCvAIoAYAA0AAL/yv+M/0r/B/7G/ov+Uv4X/dv9ov1w/UL9E/zi/LT8jvxs/Er8J/wD++H7v/uc+3r7V/s0+w/66PrD+qL6hfpq+k/6NPoY+fv53fm8+Zr5evla+Tj5E/ju+M34sfiU+HT4T/gq+An36/fN96n3fvdP9yH29/bP9qT2ePZP9ir2B/Xg9bT1hfVZ9TH1C/Tm9L70kvRj9Db0DvPn88DzmPNw80jzIPL38szyofJ18kjyG/Hy8dDxtfGa8XzxWfEx8Qbw1/Co8H3wW/BF8DTwH/AB793vue+Z73nvW+8/7ybvD+727tvuv+6l7ozueO5n7ljuRu4v7hXt+e3h7c3twO267bXtru2i7ZXtie2B7YDtiu2d7bDtue247bTtte267b7txe3U7ezuCe4j7jzuVO5q7nvuje6q7tTvAO8f7y/vPO9T73nvou/G79/v7+/58A7wRfCr8TDxovHg8fDyAvI38oTyw/LZ8s/yvvK48r/y2PMG80nzlvPk9DH0f/TO9SH1hfYD9pb3Jfea9+n4Fvgs+Df4Rvhm+Jf4yvju+P/5Cvkb+Tn5YfmP+cD56/oG+hX6KvpU+oL6iPpE+cj5T/kN+Pf41/iF+BH3qvdx91v3QPcA9pP2B/Vy9Ob0a/QD86/zc/NX81fzbvOU88j0BvRI9IX0uvTn9QX1EPUJ9P/0/fUD9Q31F/Ud9Rv1C/Ty9OL08PUp9Yv1/fZZ9nv2Y/Y59iv2QfZd9mT2X/Zc9kz2D/Wp9Vr1Z/XW9mf2zfbz9vH24/bP9rr2rfaw9rf2rPaJ9lj2IvXg9Yz1M/T19Ob1B/U99Wf1YvUe9Kn0LfPU86XzfvM28sfyS/HT8VHwtfAP74vvRu8x7x3u8e617oDuUu4c7dXtie1I7RPs3Oyg7GnsP+we6/3r2uu866rrnuuS64frhOuP66Drseu/683r3evs6/fsAewM7BbsF+wJ6/Hr3evU69Przeu966nrm+uZ65rrmeuX65nrpOu3687r6ewK7C3sSuxi7HvsnuzH7OztCO0i7UHtZO2G7aXtyu377jLuY+6L7rTu5+8k72Pvoe/g8CTwa/Cx8PPxNPF28bjx9vIy8nHyufMI81jzo/Pr9DT0gPTM9Rb1YfWy9gf2Xva29xX3evfc+DX4j/j6+Xb57vpO+pr64/s0+4L7xPv+/D38gvzD/Pj9Jf1V/Yf9tP3a/gP+Nv5q/pb+uv7i/xH/Qf9q/47/t//mABYARAByAKIAzgDzARIBNQFfAY0BuQHiAgsCOAJlAo8CuALgAwoDOANrA6AD1AQEBC8EWwSJBLgE5gUSBUAFdAWuBeoGIwZUBn4GpQbIBucG/gcRBycHQQdbB3IHiAefB7cHywfaB+cH9QgDCBAIHQgvCEYIXgh5CJoIvwjiCQEJHglBCWQJggmaCbMJ0wn3ChwKQwpwCqUK2QsGCzQLbAuwC/cMMwxiDIUMmwyhDJMMdQxZDFUMewzEDRQNSQ1TDUMNPA1ZDaIOCg56Dt0PKA9XD2kPYw9RD0IPQQ9ID0kPPA8nDxAO+A7ZDrUOlA50Dk4OGg3hDasNfQ1UDS4NCAzcDKIMYQwtDBIMCAv2C9ULtQukC58Lkgt0C00LKQsMCvEK0gqzCpoKiAp8CnYKdwqCCpkKtgrOCt0K5wr5C0MLaguNC6oLxQvhC/sMDAwVDBwMLAxQDIUMvwzsDQcNHw1LDZEN4A4dDjkOQA5IDlwOdA6ADncOWw4wDf8N0w26DbkNwQ2/DagNhQ1hDT0NFAzhDKAMUwwAC7MLdwtKCx8K7Qq6Co8KbQpMCikKDwoDCf0J9wnzCf4KGAo2ClEKawqJCqIKqwqfCoQKYAo0CgcJ5QnUCcoJtQmJCUsJAAiwCF8IFwfgB7gHkQdgByMG5QasBnoGSwYdBfQF2AXHBbgFqAWgBa0FzgXpBeYFvwWHBVYFPAU4BUQFUwVYBU0FOQUqBSUFJQUhBRUFBwT4BOkE2QTMBMIEuQSwBKgEnwSRBHgEVQQxBBwEHQQ6BGoEnQTABMgEuASWBGYEJAPUA4YDUQM7Ay8DFALoAtAC9ANaA84ECwPxA5gDPAMKAwgDIgM5Az8DNwMuAyoDHQL3ArkCeAJDAhABzgGAATYA9ACnAEL/0v9y/yT+0/52/iH95P2q/Un8svv/+1X6uvoY+V74m/fn9072yvZT9eT1gvUq9Nf0h/RB9A7z6PO/84nzUvMw8yfzJfMa8wvzA/L98u/y3/Ln8wrzLPM/823z9vTY9bD2EPXg9Wj09/Si9Erz3fNg8uHyafID8b/xpPGh8Z/xkPF38VfxLfD48L/whfBD7/bvpO9a7xTux+5w7h3t3e2y7Y7tce1w7aXuC+507q7urO6M7nTucO5w7l/uPO4U7e7tx+2c7XXtYO1g7XDtgu2H7XXtSu0S7N3suOyi7Jbsi+x57GDsQ+wv7CXsFuvw66/raOsy6xLq/urs6tzq0urM6sXquOqj6obqY+o96hfp8OnG6Z3pd+lX6TzpKekf6RnpDuj86O3o7ej86Qfo/+jn6Mjor+if6J7orujK6OTo+ekS6TjpaemW6bLpu+m66bzpz+n46i7qV+pf6kPqG+oE6grqJeo+6kfqSOpS6mfqfOp/6nLqZepf6lXqPeoh6hnqOOqG6v7rjuwN7FDsSuwh7AfsEuw17GLsnezm7SHtO+1N7ZDuEe6g7v/vLu9h77LwAfAl8CfwOPBt8Kvw0/Dr8RPxUPGH8aLxsvHY8h/ycfK08ubzEfM982jziPOZ85vzk/OI83zzcfNv84Lzs/P09DD0XPSH9MH1B/VI9X31tPX79kz2lPbT9x73h/gE+Hf40vkd+Wz5xvon+oH60fsb+2b7tvwE/FH8o/0I/YL+AP5u/sX/Ev9p/9AAQACtAREBcwHdAlECwQMaA2gDzwRfBO0FQQVcBYIF5gZdBpkGpQb5B+UJBQl+CNcHfQZhBh8GmwdaCAUIjQj8CU4JewmKCY4JmAmyCeQKLgqACroKwQqOCjIJ1QmpCc0KOArDC0YLtAwWDHYM1A0pDWwNmQ22DdYOCw5ZDqUOyg69DpEOZw5ODkAOMw4oDikOPg5hDoIOmQ6nDrEOvA7JDuYPIA9yD8UP/xAlEE4QhxDEEPkRJxFYEYYRpRG2EcsR6xIJEh8SPRJyEqYSmxI7EbARNxDKEBkO4Q1IC9YLFws+DBUNKQ4LDoUOpg6mDqoOrA6LDkMN+g3UDcwNtw19DTgNDgz9DNkMhAwaC94L+gxWDKYMqQxQC8ELNArWCq0KpgqeCn0KPAnoCZoJagllCXoJhglmCRMIqAhKCA0H5we/B4YHSQcdBwYG7wa/BnMGIwXjBbsFqgWwBb8FswVqBPcEnQSJBKIEoARmBCAEAwQGA/gDxQOLA20DWgMuAuYCpAJ+AmECLwHvAb8BrAGiAYsBZgFBASEBBADsAOIA4gDaAMEAngB/AGgAUAAzABsAEAAMAAH/7f/V/8P/t/+v/6r/ov+R/3n/Zv9k/2z/av9X/0D/Ov9C/0b/O/8r/yP/If8a/w7/B/8H/wP+8P7X/sr+0P7b/uP+6P7x/v3/B/8R/yP/O/9R/2P/df+L/6T/uf/J/9f/3v/c/9n/3//t//sABgAZADkAWgBoAGQAYgB1AJUArwC+AMoA3ADyAQYBGQEuAUUBWQFiAV0BUQFMAVkBeAGWAa4B1gIsArEDOgOXA88EFgSSBR8FbQVMBN0EawQZA9EDcQMDArECjgJ+AlYCDwHMAa0BqwGrAaEBmAGcAagBswG2AbQBrAGbAYIBawFgAV8BYgFlAWgBawFwAXMBcwFqAVUBOQEfAQwA/ADnAMgAoAB1AEcAFf/b/5r/U/8N/sz+j/5R/hD90P2T/Vz9KPz2/Mn8ovyA/GD8P/wd+/r72fu4+5b7c/tN+yb6//rZ+rf6mfp++mT6R/on+gf55fnD+aH5gvlk+UH5Gfjv+Mn4qviM+Gv4SPgl+Ab36PfL96n3gfdX9y33B/bi9rn2jfZi9jn2EPXm9br1j/Vk9Tv1E/Tt9MX0mfRp9Dv0E/Pu88nzofN4807zIfLy8sPyl/Js8kHyFvHy8dfxwvGr8YzxZfE58Qvw3vCz8I3wb/BX8EHwJvAD79zvuO+Z73zvX+9F7y7vGO7+7uLuxu6t7pbugO5s7lnuRO4r7hDt9+3g7c3tvu207a/tqu2h7ZXti+2F7YXti+2X7aPtqO2o7aXtpe2p7a/tuO3I7d7t+e4W7jPuTu5i7m/ue+6Q7q/u0e7w7wzvK+9S73zvnu+4787v5e/78A/wMPB38OvxbvHO8ffyAfIZ8lXypPLk8wLzAfLt8tvy3/MC80HzjvPd9Cr0dPS99Qv1bvXv9ob3F/eN9+T4IvhJ+Fn4Yfh2+KX44fkS+S35PPlN+Wj5iPmr+db6B/ox+kb6Tvpi+or6qPqK+iD5kfkf+Ob4yfiX+D/32feH91P3Jvbj9nv19PVk9OL0dPQZ88zzlPN583zzmPPF9AD0RPSI9MH06/UG9Q71BfTy9OP03/Tk9O30+PUB9QD0+PT69SH1d/Xw9nH24Pck9y32/va/9pz2oPap9pP2YvY49h31+fW39XT1bPW39i72jva39rf2qfaY9oT2cfZl9lr2R/Yn9gL14fXD9Zz1a/VA9S/1QPVq9ZP1n/V39Rn0nfQl88fzgvNB8vTymfIx8bbxJfCP8BLvvu+J71bvF+7W7qDudO5A7f7tuO167UTtDezR7JjsaOw/7Brr+Ovf687rv+up65PrhOuD643rneus67vrx+vR69zr5+v06/3r/evx697ry+u/67rrteup65brhet+64LriuuO65HrmOum67zr1+v37BjsN+xR7Gvsjey17Nzs/e0a7TvtYO2B7Z/twe3u7iLuU+5+7qru4O8c71rvl+/X8B3wZPCp8OrxKvFr8anx4/Ib8lfynPLr8zvzhvPN9Bb0ZPSy9P31RPWN9d32MfaI9uT3R/eq+AX4XfjA+TP5pvoI+lv6rvsI+1v7lvu/++38Lvx4/Lj86f0V/UP9c/2f/cr9+P4o/lT+ef6e/sf+9P8h/03/e/+o/9L//AApAFoAhwCqAMgA6gEVAUQBcQGbAccB9wIlAlACeAKiAtEDBQM8A3QDqAPYBAYENARmBJkEywT6BSoFXwWbBdkGEAY9BmIGhgapBsgG4Ab1BwsHJgc/B1IHYwd1B4oHngewB8AH0gfkB/cIDAgmCEIIXgh8CJ0IwAjhCP0JGAk2CVQJbwmHCaMJxAniCfsKGApGCn8KtgrgCwMLLgtoC6gL5AwXDEIMYgxvDGoMXQxcDHoMuw0NDVINdQ12DW0NeA2vDhEOig75D0QPag91D3EPYg9MDzgPLw8tDyUPEw8BDvcO7Q7WDq4OgQ5VDiYN7w20DXsNSQ0dDPsM4gzCDIwMRQwNC/oL/gv3C9ULqwuOC30LZQs+CxIK8ArZCsEKpAqGCm0KXQpVClUKYAp2CpYKuwrcCvYLCgsiC2QLiguuC88L8AwTDDIMSgxYDGUMeAyWDL4M5Q0BDRMNJg1JDYENwg37DiEOOA5QDnEOkA6aDoEOSg4IDc0NpQ2TDZMNlw2QDXQNRg0UDOgMwgyYDGQMIgvcC5wLaAs4CwIKxwqTCm4KUwo5CiEKEgoRChQKEgoTCiAKOApQCmUKfQqZCq8KtAqoCpQKegpXCjAKDwn9CewJzAmYCVcJDwjBCGwIGgfWB6MHdQdBBwQGxgaOBl0GLQX9BdQFuwWwBakFnQWWBaMFxAXhBeIFxQWhBYcFdwVoBVkFTgVJBUMFOgUwBSoFJQUcBQ4E+gTiBMoEswSkBJkEkASJBIUEgwR+BG0ETgQqBAsEAQQSBDsEaQSIBI8EiAR2BFMEFgPCA28DNgMcAwsC7gLHAq8CwQL+A0YDcwNwA0cDFwL8AwADGAMqAykDGAMKAwUC9AK/Am4CHgHnAb0BhwFDAQUA1QCfAE//7/+W/0n+9P6O/iz94P2X/Sb8gvvK+yL6i/no+Sr4YPeo9w/2kfYg9bX1U/T69Kr0Y/Qn8/jzz/Ol83XzR/Mq8x3zF/MP8wnzDPMQ8wvzA/MM8yfzPPNA81bzsvRe9Rz1nPW+9Zv1V/UF9Kz0UPPr82ryw/IU8Y7xUfFP8VvxU/Ev8Pfwt/B38Djv9e+n71Du++6w7nHuO+4O7ertyu2k7XPtRe037V3ts+4Z7mPuee5n7kjuMO4g7g7t9u3Z7bXtiu1f7UPtOe027TDtJu0b7Qvs6uy37IHsVew57CXsEev86+Try+u166LrkOt361LrKOsA6t3qwOqt6qrqs+q86r3qsuqb6nfqS+og6f/p5OnI6aXpf+lc6UDpL+kr6S3pJ+kO6PDo4ejt6QbpE+kJ6PPo3+ja6OXpAuko6UzpaemE6aTpyenr6f3p/+n46fXqBOoo6lPqbOpg6jPqBOnz6gnqMOpK6kzqQ+pG6lrqc+qF6pDqnOqo6qjqmeqQ6qTq2+sv65Tr/+xS7GrsQ+wI6/DsB+w27GfsnezZ7QntH+087Y3uFe6a7ujvD+9G76Hv9fAc8CPwO/B18LHw0/Dq8RXxVPGI8aHxtPHd8h/yZ/Kj8tfzC/M/82vzi/Of86jzqPOj853zl/OV86LzyPQB9Dj0ZPSR9M71GPVb9ZH1yfYV9mz2uvb790X3qvge+In43vkr+X/53fo3+oj60vsf+3L7x/wa/Gv8xP0s/aH+F/6C/uH/Qf+pABYAfADWAS0BjAH4AmMCuAL3A0YDywSBBSUFdgWHBa0GGAaTBtAG6AdZCF8JegnECNkHRgYFBaMF7gZuBuIHUQfECCUIXwh8CJkIzQkgCZMKFAp7CqIKfwowCeYJygnvClEK0gtNC68L/wxQDKkNBA1UDZINug3NDdkN9A4qDmgOjw6UDogOhg6SDpkOjA5xDlkOVA5iDnwOmg62Ds8O4w71DxMPSg+YD+gQJRBMEHAQoRDbERQRRRF1EaERwRHWEeoSBBIcEioSPRJpEqESrxJqEd4RRBC2EA8PCg2dDBkLAwq5CzoMLQ0fDcgOHQ5ADlUOYg5ZDjQOBg3mDdgNxA2aDWQNPw0wDRgM2Ax1DCcMIQxmDMIM6wy4DDULmgsoCvoK+QruCrYKWwn9CbgJkQmBCYEJfwliCRsIuAhjCDkIKQgIB8UHfgdhB3EHgAdcBwUGoAZNBhYF/AYMBjkGTAYHBXQE8QTQBPoFDATJBF4EHwQjBDEEFgPZA6EDeANJAw0C1wKyAo8CWQIYAekB1wHNAbABgwFXAToBKAEbARUBEwENAPkA2gC4AJcAdQBWAEIAPQA9ADQAHAAB/+3/5P/e/9X/xv+z/5//lP+X/6L/ov+S/3//fP+G/4n/df9X/0X/Rf9J/0f/RP9G/0P/MP8R/vr+9v79/wP/BP8H/w3/FP8d/yv/PP9K/1X/Zf9//57/uP/N/+H/7//1//X/+wAMAB4ALAA+AFwAgACWAJsAmwCiALIAxADaAPoBHgE2AUIBTAFgAXkBigGTAZsBqQG2AbwBvQHFAdgB+wIsAmgCoALDAtkDBgNvBBMEyQVaBaoFtQV+BQcEbgPwA70DxAO2A1UCtQImAeQB3QHYAb8BqgG7AeYCBgIDAeQBvgGeAYUBdAFsAW0BcAFxAXEBcgF0AXYBeAF1AWgBUgE8ASsBHgELAPAAzQCpAIMAWAAk/+f/ov9Z/w7+x/6C/j399/2z/XP9O/0J/N78t/yU/HT8VPwy/BD77/vR+7D7jPtl+z77Gfr1+tH6sPqT+nX6VPow+gv55/nD+aH5gflh+T35E/jm+L34m/h7+Fv4OfgY9/r33/fF96f3g/dc9zb3FPby9sv2n/Zy9kX2GfXs9b/1lPVo9Tv1D/Tm9L/0lPRl9Dn0FPPy88zzovN080fzGPLm8rbyivJi8jvyGPH78eTx0PG58ZvxdfFJ8Rvw7vDF8KDwf/Bh8EPwIu/+79rvuu+e74PvaO9P7zjvIO8E7ufuzO637qLui+5y7lnuPu4i7gjt8u3h7dDtv+2x7antpO2d7ZXtj+2O7ZHtlO2W7Zftlu2W7ZjtnO2h7anttO3F7drt8u4M7inuRe5a7mbubu567pHuru7Q7vbvIO9P73vvm++v77/v2O/58BXwLfBX8KzxJfGa8eDx+PIF8jHyg/Lj8yvzQ/Mt8wTy7vME80DzjfPZ9CH0aPSt9PX1TfXB9kn2z/dE96v4CPhQ+HX4fPiB+KH42/kX+UD5Wvlz+ZL5s/nT+fn6K/pb+nT6c/p1+pb6zPrc+pb6A/lo+QH40/iw+G74C/em91j3Hfbc9n72A/V+9QX0n/RI8/zzwvOo86/z1PQL9E70k/TP9Pv1FPUb9RP0//Tq9N302fTa9OD07vUF9R/1P/V59eT2d/cP94T3xvfY98D3ifdL9yT3F/cG9tH2f/Y29gz18fXK9Zz1kPXB9hj2YfZ89nD2WPZD9i/2FvX89eT1zvW49ar1qvW29b/1s/WU9XT1afV89aL1v/W19W/08fRd8+DzmPN481LzAvKJ8gHxhPEZ8LbwUu/t74rvMu7q7rXuiu5f7int6+2r7WztMez57MXsk+xk7DnsF+wA6+/r3OvE663rmuuO64rrjuua66nrt+vD68/r2+vj6+Lr2uvP68Prueuw66rrpeud64/rfetw62/rd+uB64jrkOud67DryOvk7AXsKexK7Gjsheyn7Mrs7e0P7TPtWu197Z3twO3r7hzuTO547qfu3e8Y71Pvju/O8BbwYPCn8OnxJ/Fi8Zrxz/IG8kPyh/LU8yTzcPO59AL0T/Sd9Of1LvV29cX2GPZt9sT3IveC99v4LviD+OP5SPmn+f76Wfq7+xP7Tfts+477y/we/Gz8p/zU/QH9M/1l/ZP9vv3o/hP+Ov5g/of+sP7c/wz/PP9p/5H/t//gAA8APABiAIMApwDQAPsBJAFOAX8BtAHnAhQCPQJpAp4C2QMVA04DgQOwA94EDgRDBHsEsgTnBRoFUQWMBcgF/gYpBk4GcQaTBrIGyAbbBu8HBwceBy8HPgdOB2IHdweKB54HtAfLB+QH/wgeCD8IXgh9CJ0IvwjfCPoJEwksCUQJWwl0CZIJswnNCeAJ+AoiClwKlAq7CtgK+wsqC2ALkgvAC+kMDAwiDC0MOwxiDKsNCQ1gDZQNng2TDZQNvg4WDowPBA9dD4cPjQ+GD30PbA9PDzAPGw8QDwEO6Q7WDtQO2Q7MDqQObA41DgANxg2GDUYNDAzhDMgMvAymDHIMKQvvC+IL8AvvC8sLlwtrC0oLJQr5CtEKtgqlCpEKdwpcCkYKNQouCjQKRwplCokKsgrcCwILIwtCC3wLoAvGC+8MFww+DF0McgyDDJcMswzTDPINCA0VDR4NLA1FDWsNnQ3XDhQOTA56Dp4Osg6qDnsOLQ3bDZ0NfQ1zDXANaA1SDSkM7QytDHcMUQw1DBUL6gu3C4ULVQsdCtoKlgpiCkMKLgoZCgsKDQocCiwKMgo3CkQKVgplCnIKhwqjCrkKvAqxCqIKkApzCk0KKwoTCfoJ0wmcCV4JHAjQCHgIHgfPB5AHWAceBuAGoAZlBjIGBwXeBbsFpQWcBZgFkAWLBZgFtwXWBd0FzgW9BbUFrQWVBW8FSwU4BTYFOgU7BTYFKwUaBQQE6QTJBKcEjAR6BG8EZgReBFwEXwRcBE4ENQQWA/oD7AP0BBQEPQRZBGAEVwRHBCgD7wOfA1ADGQL8AugCzgKwApwCmgKoAsEC2gLtAvMC7ALmAvEDCgMeAxwDCAL2AuoCzgKIAiEBwgGHAWQBOgEDANMAsQCLAEv/+f+q/1r+9v5+/g79uv1u/Pz8Wfum+wL6avm/+Pb4J/du9tb2VvXm9X31HvTH9H30P/QN8+LzuPOP82bzQ/Mr8x3zFPMN8w3zF/Mk8y3zNPNC81XzW/NS81HzgPPq9Hj1BPVw9ab1nPVi9SD09vTN9GfzoPKj8crxVPE48T7xNPEJ8MjwhPBA7/Xvm+8z7s/ugO5L7i3uIu4i7hnt8e2m7VPtHO0V7Tztg+3X7iTuU+5W7jTuA+3Y7bztrO2a7XrtTu0l7RDtC+0A7OTswuyt7KHsiexY7Bzr6evH663rk+t461/rR+sx6x/rEesE6vPq3urG6qrqjOp46nXqg+qV6p7qmuqE6lvqI+nt6cnptumh6XvpS+kh6QzpDukk6TzpP+kf6Onowei86NXo7ej06O/o7uj76RnpRel36aTpx+nh6fjqC+oW6hbqEOoK6g3qH+o+6lzqYupD6gzp4ene6gPqM+pM6knqO+o86k/qaOp96pPqserP6t3q2urg6wfrT+ul6/vsRux07G/sOuv/6+7sDew/7GvsluzF7O/tEO1E7azuPO627vPvC+8775Pv6vAY8CvwTPCF8Lrw1/Dv8RrxVPGG8aPxv/Ht8inyYvKS8sXzAvNB83TzmPOu87zzw/PG88fzyfPL89nz+fQo9Ff0gPSr9OT1J/Vl9Zz12/Yu9or22vcd92n3y/g3+Jj46fk5+ZP58PpD+o362fsv+4z76PxA/Jn8+f1g/cz+Nv6d/wb/eP/wAGEAvgEKAVYBsgIZAnQCsgLoA0kD9gTJBW8FswW6BeEGTAbBBwIHNgfNCOIJ4An1COYHUwYcBaMFpAW+BdsGGQZ/BusHPQd9B8MIIQiZCSUJsQoUCi4KCwneCdoKEgp2CusLVwutC/EMMwyDDNwNLg1wDaENww3VDdwN6Q4KDjYOVA5cDmIOeg6iDsEOxA6xDpoOjA6NDp4Otw7SDuUO9A8HDysPZg+yEAAQPhBqEI0QtxDtESkRYRGREbkR1hHtEgISGBIpEjMSQBJmEqESxhKgEh8RbBC6EAkPJw3sDHwLQAqcCqwLPwwFDL0NSA2jDdYN9Q4IDhAODA4CDfgN6g3NDaQNgw14DW8NQgzkDHgMOwxKDI0MxQy2DFULzQtjCzsLOwsqCusKnQpqClQKMwntCZgJWQkwCP0ItQh2CGMIawhXCA0HugefB8gH9gfnB5UHKwbQBogGVgZSBn4GoAZrBdcFQgUMBTAFRgUBBIgEPARIBHYEdgQ3A+EDmgNqA0IDHgL5AssCjgJPAiQCEAIBAeEBsgGGAWkBWgFSAUwBRgE+AS4BFADyAM0AqACLAHoAcgBtAF4ARgAtABwAFgAPAAD/7P/a/9H/0f/X/9v/2P/M/8H/wP/E/7z/n/95/2T/Zf9u/3D/b/9y/3f/b/9Y/z7/MP8t/yv/KP8m/yf/Kf8s/zX/QP9H/0z/Wv90/5P/rv/F/9//+wAOABgAJAA6AFMAZQByAIcAowC8AMkA0ADYAOMA8AEJATEBXQF8AYkBkwGmAboBwgHFAdUB9gIUAhsCEAIKAhQCJgIxAjICMgIxAi4CMAJXAsUDgwRvBUUFwwXABU0EtwRlBIUE3QT0BHoDnwLgAo0CiwKKAmoCUwJsApsCpAJpAgoBugGRAYQBgAF9AXkBdAFvAWkBZQFhAWABZAFrAW4BaAFbAUoBOAEiAQcA6gDNAK0AhQBUABv/3P+V/0f+9/6p/mD+Gf3T/ZD9Vf0j/Pb8zfyo/Ib8ZfxD/CD8APvk+8b7o/t7+1T7MPsN+uj6w/qg+n76WPov+gj55PnC+aD5fvla+TP5B/jb+LP4kPhw+E74LPgL9+/31ve+96P3gvdd9zr3Gfb49tL2p/Z69k32HvXw9cL1l/Vq9Tr1C/Ti9Lz0k/Rm9D30G/P789Pzo/Nw8z/zEPLg8rLyh/Jg8j7yIvIM8fjx4vHH8anxhvFd8S/xAPDV8K3wh/Bh8D3wHO/9797vwu+o74/vdO9a70HvJu8I7uru0e697qruku537lruPO4f7gXt8+3m7dntx+217ajtn+2Y7ZLtj+2R7ZXtlu2T7Yzthu2G7Y3tl+2f7ajts+3E7dnt7+4F7h3uN+5M7lvuZe5w7oPuoO7F7u3vF+9C72zvju+k77Xvzu/08BrwNfBO8ILw3/FQ8azx3fH08hryavLa80bzf/Ny8zjzCPMK8z7zh/PL9Av0UPSY9OH1MfWR9f/2bfbW90T3v/gx+Hv4k/iU+Kj42/kZ+Ur5a/mK+a/51fn2+hj6RPpx+ov6h/p/+pv64fsb+wT6i/nm+WL5H/j4+Lr4Uffa93j3Mfbw9pr2KvWu9Tr01fR99DLz+/Pj8+/0GvRa9KL04/UR9Sv1M/Uu9R/1CfT09Ob03/Te9Or1DvVL9Zn19fZr9wT3rPg2+H74hfhj+DL3/vfM96L3f/dV9xf2zfaO9mX2RPYa9ev10/Xo9hn2QfZG9iz2C/Xz9eD1x/Wp9ZD1hPWG9ZX1svXb9f72A/Xi9a71ifWJ9az12/Xz9dH1Y/TB9Crz2fPQ887zlvMh8p7yNfHe8XLw4PA+77HvSu8D7s7uoe557k3uE+3L7YDtPu0K7N3srex67EvsKOwQ6/zr6OvY68vrv+uv65zrkeuT66Drruu668br0uvX69Hrw+u266/rq+ul65zrlOuO64breOtq62Traet164Lrj+uf67Hrxevc6/nsHuxE7GXsguyf7L7s4e0F7SvtU+167aDtx+3y7h7uSe5y7qHu2e8V71Dvi+/K8BDwWvCi8ObxJfFc8Y/xwvH88jzygvLK8xbzYvOs8/P0OvSD9Mz1FfVg9bH2BfZZ9qz3Bfdi97r4CPhS+KL4+/lU+af6APph+r77Afsm+0b7gPvU/Cv8bfyb/MT88v0l/VP9e/2h/cv99/4j/k7+d/6i/s/+/v8r/1T/ef+g/8n/9AAdAEQAbACUALoA3wEIATsBdQGuAd4CCgI7AnUCtwL3AzADYQOPA74D8QQpBGQEoQTcBRQFSwWBBbgF6gYWBjwGXwaABpwGsAbBBtMG5wb6BwsHGQcqBz8HVAdrB4MHnQe4B9UH9QgXCDgIVgh0CJMItAjUCO8JCAkgCTYJSQlgCXwJnAm1CcgJ3woFCjcKZQqICqQKxwrzCyALSAtrC40LrQvJC+QMEQxeDMsNQA2ZDbwNsQ2fDbAN+A5pDuQPRg97D4UPew94D3sPdA9XDy4PEA8ADuwOzw62DrMOug6tDoEORA4MDdkNoA1cDRUM2AyvDJwMlAyADE4MCQvVC8oL1wvSC6oLbgs1CwYK2QqtCo0KewpvCl4KSgo4CiYKFwoRChwKNgpWCnYKmwrKCv8LLwtYC48LswvbDAoMOAxfDHYMgwyQDKoM0Az4DRINGg0YDRoNJw08DVcNgQ3EDh4Odw6yDsUOtg6MDkoN+A2pDXYNYQ1bDU8NNQ0MDNYMkwxNDBIL7wveC9ILuwuXC2oLNgr2CqsKZAoyChYKBQn1CfAJ/wodCjUKQgpKClgKZgprCm4KfgqaCrIKtwqvCqQKlQp7ClYKMwoWCfcJzAmXCVsJFwjHCGwIEgfBB3sHPAcABsMGgAY9BgQF3AW/BaUFkQWGBYMFgQWBBY8FrQXPBd0F1wXNBcoFxQWsBXwFSwUsBScFMgU7BTkFKwUVBPwE3QS2BIwEagRWBEkEPQQzBDEEMQQsBBsEBQPyA+MD2gPfA/oEJARFBEwEPQQjA/0DxAN5AzEC/wLjAs4CtgKgAo0CewJoAl8CbAKOAq8CvwLFAtMC8AMKAwwC9wLhAs4CqgJcAe0BhgFFAR8A+gDQAK0AkABmACP/1f+M/zv+y/5B/cj9d/0y/Mn8MPuH+un6TPmW+Mf3+fdF9qz2JvWu9Ub06/SY9FD0F/Ps88fzofN681XzOPMj8xbzEPMP8xLzGfMj8zDzQfNW82fzafNf81nzZ/OR8+D0WPTq9Wb1l/WB9WL1bPV/9T/0dfNR8kHxlvFO8TXxGvDv8LvwgvA/7+Xvcu737o3uR+4j7h3uMe5N7kjuAO2B7Q7s4+0E7Ujtie3E7gDuNO5E7iPt4u2f7XPtXe1N7TDtBuzg7M/syuy57JPsaexR7EXsK+v167Prfeta60DrJesF6uPqw+qp6pzqm+qb6pXqi+p/6nDqWupC6jfqPepO6lzqYepU6izp7emt6YPpb+lZ6TDo++jW6NTo9Okl6U7pVuky6PHoteic6KPosui66MHo0ej16Srpaemo6d3qBeoh6jXqPuo66ivqG+oS6hXqJOo86k7qSOog6enpxOnK6fTqJOo86jjqLeox6kTqWupu6obqrOrV6uzq8Or56ybrduvR7CHsWux07GPsL+v86/HsEOw/7Gjsjuy77OrtHe1r7ejue+7q7xXvIO9F75Lv5PAU8DDwVvCO8MHw3vD18RvxT/GA8afxz/IB8jbyY/KJ8rny+PM883fzofO989Hz4fPu8/fz//QK9B70P/Rn9I30r/TV9QT1PPV09bD1+fZS9qz2+/dB95H38fhV+K74/vlT+bL6Dvpe+qf69/tW+7r8HPx6/Nr9Pf2g/gD+X/7E/zL/qwAmAJcA8gE8AYgB5QJIApgC0QMVA5QEWwUuBbsF6AXvBh4GhAbpBywHhghNCW4KRgorCRQHpQaTBg8F0wWfBX0FlQXnBkoGoAbvB0gHrgggCKAJIwmMCcIJ1QnyCjkKogsOC2kLtAv0DDAMcgy/DQ0NTg18DaANvw3VDd4N5w39Dh8OOQ5DDk4Oag6UDrkOzA7PDssOxg7IDtYO7A77DvkO8g78DyMPYw+tD/cQORBwEJsQxRD4ETQRcRGiEckR5xIAEhUSJRIyEjwSSxJuEqkS4RLdEnsRzhEKEEkPcQ5cDRYL6QseCskK0wsgC58MNgzBDSMNZA2ZDcoN6w35Df0N/w33Dd4Nww26DboNnQ1JDNQMdwxZDHIMkwyIDD4L0wt/C2ILXgtCCwoK6wsQC04LQgq7CfUJWgkTCPQIzginCKMIuAisCGEIBQfeB/0IKAgeB9kHgwczBuMGkAZbBl0GcwZWBekFbAUyBUMFTQUNBJ4EVwRpBKYEugSABBsDwgOPA3YDXQM3AwQCzgKdAncCWgI+AhwB8wHJAacBkgGIAYEBdQFlAVIBOgEeAP4A4gDLALgApgCTAIAAbQBaAE4ASABAAC4AFwAJAAsAFAAWABAABwAB//7/+P/s/9f/uf+f/5P/mP+f/57/m/+f/6n/rP+e/4b/cf9i/1b/Tf9J/0j/Rf9D/0X/Tf9S/1b/Yf93/5H/pv+4/9T/+AAXACwAQABeAH4AkwCcAKYAtwDKANoA6wD+ARIBJQE9AWEBhwGiAa8BvgHaAfYCBAIIAhYCMwJPAlgCUgJRAlsCYAJRAjICGQIPAggB9gHnAgQCdgM3BA0EpATDBHgEGwQWBI0FMwV+BSIEWgOwA3YDiwOaA4cDfgOaA7MDggL4AlIB2gGlAZYBjAF+AXEBaQFjAV4BWAFTAU8BUQFXAV8BYAFaAU0BPgErARcBAgDsAM8ApgByADn//v+9/3L/Hv7M/oD+Of30/bH9dP0//RD85Py7/Jf8dvxT/DD8EPv1+9n7tvuP+2f7Q/sf+vj60Pqo+oH6V/os+gT54fnC+aH5fflV+Sv5APjX+LP4kvhv+Ev4KPgI9+331Pe896L3gvde9zn3F/b19s/2pfZ59k32H/Xw9cP1mfVt9T/1EPTo9MT0nfRy9Er0KPQH89zzp/Nx8z7zEfLm8rzylPJu8k3yNPIh8g7x9fHV8bXxlPFs8T3xC/Dd8LLwh/Bd8DnwG/AB7+fvzO+z75rvf+9k70jvKe8I7ujuzu667qXuje5y7lfuPe4i7grt+u3x7ebt1e2/7aztn+2X7ZHtju2N7Y3tje2J7YPtfO197Ybtle2g7ajtsu3C7dft7O4A7hPuJe447knuWe5p7n7um+6/7ubvDO8w71Xve++Z77Hvy+/x8B7wQfBX8HXwsvEN8Wrxr/HZ8gLySvK98z7zl/Og82bzJfMW8z/zfvO48+/0MfR/9M71HfVy9c32IvZ09tj3Xfft+Fv4kfil+L/48vkw+WH5gvmh+cf57/oQ+i/6VfqB+p76nvqT+qL63/sm+zL63fpN+cr5f/lU+RT4pvgi97L3Yvcf9s32Y/Xr9Xb1DPSy9Gr0OvQn9Db0ZPSq9PT1LvVM9VT1TvVD9TT1H/UK9Pn08PT39R71cPXn9nD2//eU+C/4uvkV+Sv5CPjO+Jj4bfhG+Bf33/el93X3VvdA9yH26/ai9ln2KvYf9i32O/Y29h32AfXu9eT11vXA9a71rvXA9d32AfYr9k32TvYl9ef1uPWw9dD2BvY39jz18fVY9LH0S/Q89E70NPPc827zCvKg8gfxQPB47+DvgO857vbuuO6H7l3uKu3m7ZrtWO0k7Pbsw+yM7FzsOOwe7Afr8+vp6+nr5uvX673rqOug66Prqeuv67brwevL683rxOu366zrpOub64/rg+t763brcOtn62DrY+tv63/rkuul67rrz+vk6/zsGuw97F7sfeyb7Lvs3u0C7SftT+147aHty+307hzuQO5n7pfu0e8R71DvjO/L8AzwT/CU8NnxG/FV8YnxvvH78j/yg/LG8wzzVvOg8+X0JfRm9Kv09fVC9ZT16PY89o/25vdB95r36Pgw+H741Pkp+Xf5xvoi+oP61fsL+zL7Zfuu+/38PPxl/If8rvzb/Qf9Lf1S/Xz9rP3f/hH+P/5p/pP+vv7r/xf/QP9n/4//t//hAAoANQBfAIgArgDYAQsBRQF/AbMB5AIaAlkCngLfAxkDSwN7A60D4wQdBFsEmgTYBRMFSAV5BagF1gYBBigGSwZqBoMGlwaoBrgGyQbZBugG9gcIBxwHMwdNB2gHhQelB8YH6QgLCCsIRwhhCIAIoQjBCN0I9wkPCScJOwlOCWYJgQmaCbAJyAnnCgwKLQpICmUKiwq2Ct4K/wseCz0LXAt9C6cL6gxPDM4NSQ2gDb4NtA2tDdIOKw6fDwQPPg9KDzwPMw9CD18PbQ9cDzcPFw8CDukOxQ6kDpUOjA5yDj8OBg3bDbcNhQ0+DPMMtgyPDHgMZwxMDB0L5Au5C6wLrQueC3ELMgr0Cr4KjQpmCk4KQgo3CikKHwoZChIKCgoKCh0KOgpUCmgKgwqzCvMLMwtnC54LxAvuDB4MTwxyDIEMhAyMDKYM0Qz8DRUNFQ0KDQcNEg0mDTwNYQ2rDhcOgA61DqcOaw4iDdsNmg1jDUINOg04DScNAAzJDIoMRgwBC8gLqQuiC6ILlQt0C0MLCgrICn4KOgoMCfMJ5AnYCdkJ7goMCiIKLQo6ClEKZApnCmMKbAqFCp0KpwqnCqQKmwqCClwKNQoTCe8JwwmPCVEJBAinCEYH8AelB18HHAbfBqYGZwYhBeMFuwWlBZEFewVtBWwFcwV7BYsFqwXOBeIF4AXTBcsFwwWqBX0FSQUmBR0FKAU0BTIFIQUJBPEE0wSoBHcETgQ1BCUEFQQHBAIEAAP3A+QD0gPLA8sDywPUA/QEKARTBFsEQQQXA+cDrANkAx8C7QLQArsCpQKRAn4CYwJBAigCLgJTAn0ClgKgAq8CzQLnAugC0QK1Ap4CegI1AdQBdgExAQAA1QCxAJYAdwA7/+P/jP9G/vr+iv3+/YT9N/z3/JP7/vta+r76Hflj+Jb30/cq9pL2BPWE9Rz0xfR19Czz8fPJ86vzivNl8z/zH/MJ8v7y//MG8w3zEPMS8xjzKvNC81bzXfNd817zXvNa82rzt/RI9OT1QfVP9VD1fvW69aH09fPj8tLyCPGI8TTw+fDR8LTwj/BO7+vvb+7z7o3uQ+4U7gXuIe5S7l3uD+187P7s5O0n7X7tsO3E7drt/O4N7fTttO1q7S7tCOzr7MvspOyE7Hfsc+xj7EDsGuwA6+3ryuuP603rGer66uPqy+qs6oHqUeot6iPqMOpA6kLqO+o36jPqJuoM6fTp6unt6ffqAOn86d/ppeli6TLpG+kI6Ojoxei76NjpDelD6WTpZulF6Q7o2Oi06KPomeiS6JToqujX6RfpYemn6eHqDOov6kzqXupc6knqMOod6hXqGeok6izqIen+6dDptenA6ejqE+op6ijqIuoo6j3qVOpn6n7qperQ6uzq8ur+6y3rg+vj7DLsYuxw7FnsJuv16+Xr/ewq7Fjshuy97PvtQ+2k7ifusO8O7y7vNe9V75nv3PAF8CDwSfCF8L7w4fD48RnxSfGB8bTx5fIY8krydvKe8srzAvNA83rzp/PH8+Hz+/QS9CP0L/RA9Fz0gvSo9Mj04/UC9Sr1XPWV9dn2KfaA9tX3Ifdt98L4IPh9+NP5KPmE+ej6RvqX+uH7MvuQ+/X8Wvy9/SD9gf3d/jb+kv71/2D/0ABBAKsBCgFfAbYCGAJ8As8DFQNwBAYEzQWDBewGDAYkBmQGvQcFB0EHvQisCc0KfQpCCT0IBwclBqcGUgYDBdMF4QYhBm0GsQb3B0gHnwf7CGcI5wllCckKGApuCtULOQuGC78L+Qw8DIAMvwz7DTQNYg2EDaANvQ3TDd0N4g30DhMOMg5EDlEOZQ6CDp8Oug7SDuYO8g79DxQPMA87DyYPBg79Dx0PWQ+cD90QIhBmEKIQ1BEGET8ReRGsEdcR/RIaEiwSNBI+EkwSXxJ8EqwS5BL7EsUSPhGOENEP/g8ADegM7QwxC6QLKgrSCssLJAuwDDUMnwz8DVMNlQ29DdcN8g4DDf4N7w3rDfEN3g2aDTkM5Qy5DKwMogx8DDML3AueC4YLeQtOCxgLIguUDB0MLQt/CmoJiwksCSAJGwkJCQYJDwj6CK8IUQgbCBkIHggDB8sHlAdfBxMGqAZCBgwGBAX4BcQFfQVUBVIFSwUSBLcEeAR7BKkEwgSbBEQD7wO6A6ADhQNbAysDBgLrAs0CpQJ8AlsCPQIXAewBywG8AbQBpAGJAW0BVQE+ASYBEgEAAOoAzQCyAKIAmACMAIAAdwBwAGEASQA4ADkARABEADgAMAA0ADcAJwAG/+T/0//T/97/6P/r/+X/3//f/+T/4//U/77/qP+U/4H/c/9u/2//bP9n/2b/bP9x/3H/df+E/5n/q/+7/9T/+AAaADMASgBpAIoAnwClAKkAtADGANoA9AEVATcBUgFoAYABmgGuAbsBzwHzAh0CPAJMAlkCagJ6AoQCiAKQApsCmwKHAmYCSwJCAkMCOgIgAgwCIQJyAucDSANoA0oDLQNdA/IEqQUQBOsEbwQOBAMELwRQBFgEbQSXBKAESQOXAtgCUAIDAc4BnAF3AWoBbgFxAWsBYAFVAU0BRwFCAT4BNwEwASwBKQElAR0BEAD/AOYAvwCLAFIAF//Y/5L/Qv7v/qD+WP4T/dD9kf1Z/Sf8+fzP/Kr8iPxm/EP8I/wH++r7x/uf+3j7VPsw+wj63fqy+oj6XPov+gX54/nE+aT5fvlT+Sf4//jc+Lz4m/h0+E34K/gO9/T32vfA96T3hfdg9zv3Fvby9sr2oPZ29kr2HPXt9cH1mfVy9Ub1GvTz9ND0qvSB9Fn0NPQN89/zqvN080TzG/L08tDyrPKH8mXySvI38iLyBfHh8b3xmfFw8T/xDPDe8LPwifBg8D3wIvAK7/Dv1u+876Xvi+9u707vK+8G7uPuxe6s7pXufO5l7k/uOu4k7g/uAO347e3t3O3F7bDtoe2a7ZXtkO2I7YHtfe197Xzteu187YXtk+2g7ajtsO297dLt6O387g3uG+4o7jfuS+5h7njuk+607tzvA+8l70jvbu+T77Lvzu/z8CDwSvBp8IPwqvDo8TTxevGv8d3yHfKE8wXzcPOS82zzM/Mi80bzffOt89z0GfRm9LT1BPVa9bL1/fY89o33CPed+B34bPib+Mz5DvlS+YX5p/nE+eb6Cfop+kj6b/qb+rz6wfqz+q/6z/sC+xH61fpi+fX5tfmR+Vb46vhm9/P3ofdd9w32pvYv9bb1RvTp9KT0fPRv9ID0sPT49UT1d/WI9X/1bPVc9U31QPU19S71MvVS9Z/2IPbD92/4EPig+Rv5cfmV+Yf5W/ko+P343vi/+JH4UfgW9/n3/Pf+99f3fvcS9rf2gvZv9nX2hfaQ9oz2gfZ69n72f/Z09mL2WPZc9mf2dfaH9pT2ivZe9iL19/Xx9gj2MvZi9n/2X/Xu9VX04vS49LX0lPQ+887zXPLX8irxZvC78Env+++n70Hu3e6T7mHuM+397cDthu1Q7Rns3uyk7HbsVew67CHsDOwB7AHsAev169/ryeu767Prruup66nrseu/68zrzevB663rm+uQ64frfOtx62zrautn62TrZutw64HrlOuq68Lr3ev17AvsIOw57FbsdeyW7Lrs3+0D7SbtTO107Z3txu3t7hLuNu5e7pDuze8N70zviO/G8ATwQfCA8MLxBvFF8X3xtfH08jnye/K68vzzRvOS89b0EvRN9I301vUi9XH1wvYV9mn2wfcc93T3xfgT+Gf4wPkW+WL5rPoC+mX6xPsK+zn7ZPuZ+9T8Bvwp/Ef8afyT/L384/0J/TP9ZP2Z/c/+AP4r/lL+ev6m/tT/Av8t/1j/gf+q/9P//wAvAF8AjgC9AO8BJwFfAZYBzAIIAkoCjwLRAwoDPwN0A6sD5QQhBF4EmwTXBREFRAVyBZwFxQXvBhUGNwZTBmsGgAaTBqEGrga5BsQG0gbiBvYHDwcqB0kHaQeLB7AH1gf7CBoINQhPCG0IjgivCMsI5Aj+CRgJLglCCVYJbAmDCZoJsAnICeAJ9woOCisKTgpzCpMKsArPCvELEws5C28Lwww2DLcNLQ2BDaoNtw3LDgEOWQ6zDu0O+Q7lDtAO1A75DywPUg9WDz8PIg8JDusOwg6XDnYOVg4pDfANww2sDZkNbQ0lDNkMnwx4DFoMOgwXC+0LwAucC4ULdQtZCykK7gqzCn0KTgorChkKDgoDCfoJ+An+CgMKCAoWCjIKUQpiCmgKegqnCu0LNQtxC6oL1gwADCwMWAx3DIIMgQyFDJsMwQzpDQANAgz3DPAM9Q0BDRANLg1yDdwOPg5gDi8N0Q15DUANHQ0EDPcM+Az+DPMMzQyRDEwMBgvDC40LcQtvC3cLbgtJCxMK2QqdCl4KIQn0CdsJzQnHCcoJ2gnrCfEJ9AoICjEKVgpkCmAKYgpyCocKmAqnCrQKsgqWCmgKOQoRCesJwAmOCUwI8QiFCB0HygeGBz8G8waxBn0GSAYKBc8FpwWQBXsFYwVVBVkFZwV2BYkFqQXNBeMF4gXTBcUFuAWfBXUFRwUnBSAFKgUyBSkFEQT3BOEExgSaBGMEMgQUBAED7wPfA9cD1APKA7gDrAOuA7UDvAPOA/4ERAR7BIAEVwQdA+UDqQNiAxoC4gK9AqMCjAJ5AmkCUAIrAgwCCgIpAlECbAJ6AosCpQK4ArIClQJ0AloCPAIMAcoBhAFEAQYAzQCjAIgAYwAW/6v/R/7//rv+VP3Q/V39EfzM/F/7xPsc+nz52Pkd+Fj3pfcM9nv16/Vp9QH0rfRd9BHz1POt85PzdfNQ8yjzBPLp8t3y3vLr8vnzAfMC8wTzE/Mr80HzTPNS81rzVvM78yPzQ/O29E30uPTf9Pn1PfWR9Z31LfRf83vyqPHr8Uvw4PCz8Kfwj/BP7+zveu8K7qTuRu347dft/O5S7o3uZu3p7XLtU+2H7b/txe2l7Y7tle2g7ZLtZO0k7OXssOyD7FnsNOwc7BXsFewJ6+vryOus65DrZ+st6vLqw+qi6ozqeuph6jbp++nJ6bzp0unt6fbp8Ont6e/p5+nM6avpkumE6YDpg+mG6XbpSOkL6Nzox+jC6L3ov+jb6Q/pQ+lh6WPpVek+6SHpAOje6L3oneiE6Hzoi+iw6OjpK+ls6aLpz+n86i3qVOph6lHqM+oW6gTp++n66frp7unU6bfprenA6ebqC+oc6hvqGeok6j3qWOpr6n7qm+rC6t/q7Or+6zHri+vu7D3saOxx7FfsI+vu69fr6OwT7EXsfezB7RLtb+3b7lTuw+8K7yTvNO9d753v1O/w8AXwMPB08Ljw5fD/8R3xTvGM8cjx/PIv8mryp/Le8wrzMfNc84rzsvPO8+f0BPQk9D70UPRl9If0svTZ9Pb1DfUp9VD1gvXA9gn2WPao9vb3RPeZ9/X4Uvit+Qf5ZfnJ+jD6kPrj+yv7dfvK/Cv8lPz8/V/9u/4S/mv+yf8s/47/7QBMALABFQF2AdkCQQKrAwoDYQPOBGkFHAWtBf0GJQZbBq4G9gcYB0UHzwjJCdIKVgoPCTgITweqB0QG9gaxBo4GngbSBwsHQAd8B8QIEghoCNEJUAnVCkcKpgsAC1oLogvTC/8MPQyMDNMNBQ0sDVENcw2ODaMNuA3KDdMN2A3oDgcOKw5GDlkOaw6ADpgOtQ7ZDvkPDw8kD0YPcQ+GD3APQQ8mDzgPaA+eD9cQGhBoELEQ7BEfEVIRhhG4EeoSGBI7EkkSShJREmQSdxKFEp0SxRLnEtgSiBIJEW4QsA/GDtIOCg13DN4MDQsiCn4KXwqvCysLrQwzDLcNJg10Da4N4Q4FDg8ODg4WDiIOEw3dDZYNXw07DRgM5wynDFwMEwveC8MLpwtuCy8LOgu0DEoMZAu8CqoJzQl3CXwJjAmJCXwJZgkwCNkIgQhKCCwICgfYB6wHkQdzBy8GvwZKBfsF2gXNBbkFnwWLBYAFawU6BPMEtASZBKAEqwSaBGUEIwPxA9ADrwOCA1cDPgMwAxcC6QK8AqACjAJqAjcCDQH8AfQB4AG7AZcBfgFqAVUBPwErAREA8QDYANAAzgDCAK0AoACfAJgAgQBnAF4AZQBoAGIAYgBuAHAAUwAg//z//wAcADYAPQA1ACsAJQAiABoACv/z/+D/0v/D/7H/ov+f/6X/p/+j/6L/p/+o/6D/l/+b/63/wf/U/+wACgAnAD0AUgBsAIcAlQCXAJsAqgDDAN8BAwEvAVoBeQGLAZwBsAHEAdYB6wIMAjQCWQJ1AokCmQKlArACugLEAssCygLAArACngKSApACkQKJAnQCXwJdAnQCkwKkAqMCqQLbA0YDxgQYBBoD6gPKA9oEBgQpBEkEfwTCBNYEjgP9A2QC6wKFAh4BxQGdAasByQHLAacBdAFMATUBKgEiARgBDQEGAQYBCwEPAQwBAQDwANsAvwCYAGUAK//t/6r/Yf8R/sL+dv4w/ez9rP1x/T39Dvzk/L78m/x5/Ff8NvwX+/X70Puo+4T7ZPtD+xz68frE+pf6afo7+hH57PnK+af5gPlV+Sr5Bfjm+Mn4pfh7+FD4LvgU9/z34ffE96j3iPdj9z33F/by9sn2n/Z09kn2G/Xs9cD1mfVz9Ur1IPT69Nf0s/SL9GL0OfQN89vzqPN4807zJ/MD8uLywvKg8nzyXvJG8i/yD/Ho8b/xmPFt8TzxCfDd8LbwkPBr8ErwLvAU7/jv3e/G77DvmO9571XvLu8G7t/uve6g7ojucu5d7kruNu4g7g3t/u307ejt1+3C7a7toe2b7Zntk+2H7XjtcO1x7Xfte+1+7YXtkO2b7aPtqu227cjt3e307gnuGe4j7i7uQO5Z7nLuiu6p7tLu/+8m70fvae+O77Hv0+/38CLwUPB68J3wv/Dn8RjxUfGI8bvx9PJF8rHzFfNH8z7zI/Ml807zgvOu89j0D/RR9JT03/U69Zz16vYj9mb20vdc99v4NPh3+MH5F/ln+aD5yPnp+gn6J/pD+mX6jvq4+tT62PrI+rv6wvrW+tT6nvpA+er5u/mj+XP5EfiU+Cb31/eV90X23fZn9e71fPUe9N70vfS39Mz0//VI9ZD1u/W/9an1jvV79XT1evWO9az11fYV9n33Dfex+FD43PlQ+ab50vnU+bz5nPl9+V/5Rvkv+Q343fis+JL4jfh0+CT3qPcz9vD24Pbv9xD3P/ds94b3h/eE9473mveT93P3SPci9wT27fbf9tf2wfaT9lz2NvYu9jn2S/Zp9or2jfZT9er1hPVB9Qj0rPQj84zy//J48e/xePEq8PvwvvBR78DvMu7D7nHuL+317cLtj+1Z7R7s5Oyx7Irsa+xS7DvsJ+wZ7BHsDOwF6/rr6+vc68zrwOu467TrtOu768bryuu/66XrjuuD64Lrf+t262/rbutx63Hrc+t864zrneuw68fr5ewC7BjsKuw97FXsceyR7LXs2uz/7STtSu1z7ZrtwO3m7gzuNO5g7pTuze8I70Hveu+47/fwMvBq8KXw5fEm8WHxm/HY8hzyX/Kf8uLzLfN688Hz/fQ39Hf0vvUI9VP1oPXw9kT2nfb290z3nvfw+Ef4ovj4+UT5jvnj+kX6pvr2+y37Vft8+6P7yPvn/Af8LfxY/IL8qfzO/Pj9KP1b/Y79vv3p/hD+Nv5f/oz+vP7t/x3/S/92/5//zP/+ADYAbgCkANoBEgFLAYUBwgIEAkgCjQLNAwgDPwN3A7ED7gQsBGgEoQTYBQ8FQQVuBZcFvQXkBggGKAZCBloGcQaDBpAGlwadBqUGsAa/BtIG6QcGByYHRwdrB5MHvAfiCAQIIQg8CFsIfQifCLwI1wjwCQoJIwk5CU4JYgl2CYkJmgmqCbsJzQnjCf4KHAo2CkwKYgqACqAKwArnCycLiwwLDJANAg1XDZINvg3rDigObQ6gDqwOlg54Dm0Ogw61DvIPIg84DzMPHg8EDuQOuQ6KDlwOKQ3vDbYNlA2KDXwNTw0FDLwMiQxnDEMMGwvzC84LpwuAC1sLOQsSCuUKsQp9CksKIAoBCfAJ5QnbCdQJ1wnhCe8KAgoiCkwKbQp6CnoKiAqzCvQLOgt4C7YL6QwRDDMMUwxqDHUMdgx7DIwMqgzJDOEM6AzjDNkM1AzUDNgM7A0kDXsNyQ3VDZANJQzQDKsMpAyiDJ8MpAyyDLUMmwxkDBwL0guMC1MLMwsyCz0LOQsYCuQKrwp9CkgKEAnjCccJuwm3CbkJvwm+CbIJrQnJCgQKQApfCmIKYQpoCngKjwqwCs8K0wqwCnYKPwoWCe8JxAmQCUsI6AhvCAAHrgdrByAGyQZ9BkkGHwXvBbwFlgV7BWIFSwVBBUoFXAVsBYEFogXHBd0F3AXPBcIFsQWUBWsFRQUwBS8FNgU0BR8E/wTjBM4EtQSJBE8EGgP4A+YD1QPFA7oDswOoA5sDlAOZA6EDqgPGBAgEYQShBKEEawQmA+sDsANrAyAC3wKvAocCaAJWAk4CQAIhAf0B7QH/AiECPwJSAmUCewKJAn4CXwI7Ah4CBQHlAb0BkQFdARsA0QCWAG8ARP/3/4r/If7T/oz+Kv2w/UT89Pyi/Cb7gfrT+i75g/jI+Az3aPbd9lj1z/VR9Oz0l/RF8/jzvfOX83zzX/M78xXy8vLW8sTywPLJ8try6vLz8vvzCfMg8zTzPfNA80LzO/Md8vnzAPNR88v0K/RZ9IL00PUv9Vz1L/S69BzzV/Js8Yjw6fCn8Jfwe/A4797vfe8X7qbuMe3W7cHuCe6N7vbu+e6a7ijt7O3k7dftn+1Q7RntC+0R7Qzs8OzD7I7sWOwl6/fr0+u/677rweu5653rd+tU6zPrC+ra6qbqdupN6i/qH+oQ6e3psel46WXpeumZ6aTpnemW6ZTpielu6U3pMOkb6Q3pC+kR6Q/o8ujD6J3okuif6LXo2OkJ6T7pWulS6TXpHOkQ6Qjo9ejW6K7oiehw6Gfob+iF6Kro2ukP6T/pa+mh6eHqHOo46i/qEOnx6dvpzOnD6bvpr+mf6ZbpoenB6ejqA+oM6gnqC+oe6j/qYOpy6nvqieql6sPq2+r36zDrh+vn7DPsYOxt7FjsJ+vx69jr6OwQ7D/sdOy97R7tju4A7mjuuO7p7wTvJe9e76Pv1e/q7/zwKfBz8L/w9fEU8THxX/Gb8dXyCPJB8ozy5PMv81zzcfOG86XzxfPb8+z0BvQq9Ez0ZfR99KH0zvT49Rf1MPVN9XP1pvXm9i/2e/bD9w73Y/fC+CL4fvjc+T75pfoL+m/6z/sl+237rvv5/Fn8xv0y/ZL96P4//pz+/f9d/7YACABeAL8BKQGTAfsCZgLXA0IDpwQZBKcFPgW1Bf4GPAaSBvAHJAcrB0sH0AixCYMJ2QmbCQsIgAgiB+UHsAeAB2cHcwefB9cIEAhMCJEI4wlBCa4KIgqOCuQLJwtlC6ML2wwKDD8MhgzVDRQNOQ1RDWwNhw2ZDaINqw24DcQN0A3jDgIOJQ5EDl4OeA6SDqwOyQ7rDwsPIg84D18PlA+3D60Pgg9gD2YPjg/BD/kQPBCKENQREBFAEWwRmBHGEfoSLxJWEmISYRJpEnwSiRKFEoQSnRLEEtISrxJjEfoRZBCYD70PEg6aDgsNGQvbCr8KIwoLCkkKugtWDAoMsA0xDY8N1w4IDh8OLw5GDlcORw4VDeANvg2jDXUNNAzxDLQMegxFDBwL8guwC2YLTwuOC+kL7gtsCqUKDgnaCeQJ9AnyCdsJpAlFCNoIiwhiCEEIDAfRB7AHpQeLB0QG4QaLBlcGOQYaBfYF2gXKBb8FqgWGBVYFHwTsBMoEuASoBIgEVwQqBAsD8QPNA6UDhwN0A1gDKwL/AuYC1QKzAn8CVgJIAkICKgH+AdYBwAGwAZcBegFdAUEBIwEPAQoBBwDzANMAwgDIAMwAuACWAIcAkQCfAKEAoQCjAJgAbwA8ACkARgB1AIkAdgBVAEIAPwA+ADEAGQAC//j/+v/4/+z/4P/g/+v/9P/0//P/9//1/+b/0P/H/9L/5//7AA4AJQA9AFEAZAB7AI8AlgCVAJkArgDOAPIBGwFLAXoBnAGvAcAB1gHwAgcCGwIwAkkCZgKFAqICuQLLAtoC5wLuAu4C7ALvAvUC8QLfAswCxwLNAs4CwgKvAqICoQKoArACugLQAvcDKANNA1cDTANGA1ADYgN3A50D4gQvBFMENAPnA5QDQwLgAnQCLwI7AoECsgKRAiEBmwEzAPwA6gDrAPEA9QD0AO8A6wDmAN4A0AC+AK0AnQCIAGUAMv/2/7f/dP8r/t3+kf5K/gf9xv2J/VP9JPz4/ND8qvyI/Gf8Rfwg+/n70Pur+437dPtY+zT7Cfra+qr6e/pO+iP5/PnW+bD5iPle+Tb5E/j2+Nn4sviD+FX4MvgY9//34/fE96X3hPdf9zn3FPbv9sj2nvZz9kn2HfXw9cP1m/Vz9Uv1IvT+9Nz0uPSR9Gb0OfQI89PzovN481TzMPMM8uvyzfKr8ojyZ/JN8jPyEfHo8b7xlfFq8TrxCvDg8LzwnPB68FrwPPAd7//v5O/P77vvou+B71vvM+8K7uHuve6h7o3ue+5p7lPuOe4e7gjt+O3r7d3ty+267avtn+2Y7ZTtj+2D7XPtaO1o7XDteO1+7YPtiu2Q7Zftn+2r7brtzO3j7f/uFu4j7ivuOu5U7nDuie6m7s/u/+8q70nvZO+E76vv0u/58CHwT/CA8LHw2fD48RXxPfFx8arx4fIe8mjytPLn8vnzAvMf81PziPOy89z0DvRD9Hf0ufUW9YH12PYR9k32r/cx96r4BPhR+Kv5EPlo+af51/oB+iX6QPpc+oD6q/rN+tv62PrN+sf6zPrQ+rz6gfor+eH5vPmr+YL5Kfi1+E/4BffD92/3AvaI9hL1p/VQ9Rf0/vUC9R/1VPWY9dP17/Xm9cz1uPW19cf18vY09oX22fcx95f4DfiE+O75S/me+d75/Pn7+ez53/nP+bf5nfmN+YD5aflE+Rv46PiU+BT3i/c19y/3YPeh9+b4M/h9+Kb4pviX+Jn4pfia+Gf4HPfS95P3ZPdD9y33DvbZ9pr2bPZb9lv2YPZu9ob2lfZ+9kH1+fWv9U30uPP48zbykfIR8bvxm/Go8bHxffD+8FnvuO8p7qTuLu3S7ZDtW+0j7O3sv+yd7IHsZuxQ7EDsNOwn7BrsEOwO7A/sDOv+6+vr3OvW69Pry+vC67/rv+u265/riOt963/rgOt763fre+uD64friuuU66TrtevE69br7+wJ7B/sMexF7F3seOyU7LLs1ez77STtTu147Z/tw+3o7g/uOe5n7pru0O8G7zjvbe+p7+rwJPBW8IbwvfD68TbxbvGq8ezyMvJ38rzzA/NN85Tz1/QY9F30pfTw9Tn1hPXT9if2ffbT9yf3ePfL+B/4cvjD+RD5X/m3+hX6cvrC+wD7LvtS+3D7i/up+877+/wq/FT8efyf/Mn89v0l/VP9gP2t/db9/f4k/k7+ff6w/uP/Ff9D/2//nP/PAAgARACBAL4A/AE6AXkBvAICAkcCiwLMAwkDRAN+A7gD9wQ3BHQEqwTgBRMFRgV0BZsFwAXkBgYGJAY9BlQGawZ9BocGiwaOBpUGngarBroGzwbqBwcHJwdLB3IHmwfCB+YIBwglCEUIaAiNCLAIzgjoCQEJGQkxCUcJXAluCXwJiAmTCZ8JrQm/CdcJ8AoEChIKIwo7ClUKbQqPCtQLSAvZDGgM3A03DYANwA36Di8OWg5sDlsOOA4fDiYOSg5+DrUO5Q8EDw0PAQ7rDs4Oqg5+DkwOEw3YDaMNgw10DV4NKgzhDKAMdwxaDDcMDAvjC8ALmQtqCzgLCgrgCrQKhwpaCi8KCAnrCdgJywnCCbwJvAnDCdMJ8gojCloKgQqRCpcKqQrQCwULPwt7C8ML/QwiDDUMRAxRDFoMXwxoDHkMkQyrDMAMygzFDLcMqQyhDJ8MrgzaDR0NVA1QDQcMoQxWDD8MRgxNDEsMTgxfDG8MZAw2C/ILpwtfCx4K9ArqCvYK+wrlCrkKiQpdCi0J+QnLCa0JnwmZCZYJlQmLCXgJcgmRCdYKHQpJClgKXwpoCncKkwrACuoK7wrECoUKVAoxCggJzgmKCToI0ghWB+AHigdIBv4GpgZVBh4F9gXOBaQFgQVkBUkFNgU0BUIFUgVhBXgFnwXHBdsF2QXOBcUFswWPBWQFQwU5BTwFOwUrBQ4E7ATQBL0EpQR7BEIEDgPtA9sDzgPAA7IDowOUA4kDhwONA5EDlwO4BAMEZASlBKUEbwQuA/UDvAN4AzAC8AK3An8CTgI2AjUCNAIaAe8B0gHXAfUCFAIrAkACWAJpAmQCSAImAggB7gHQAawBhwFaARoAxwB2ADgABf/D/2r/Cf6y/lv99P2A/Rf8wPxf+9n7MvqE+dr5Kvhw97z3I/aj9in1q/U39NX0ffQp897zpvOB82TzRPMk8wXy6fLQ8rvysPKw8rryyvLZ8uXy8/MG8xfzG/MU8wry/fLm8s7y1vMU83DzuvPj9A70WfSy9Oj06fTA9GrzyfLY8dPxEvCx8IbwV/AX79Lvh+8g7pjuFe3Q7e7uZe7872DvXu8B7ovuMO3u7aPtPezX7JXsgOyA7HvsZuxD7Bzr9uvP66jrhutz63Trfut6617rNesN6urqxOqV6mLqLun96dfpwOmx6ZPpX+kq6RbpJ+lB6UrpQekz6SbpEej16NroyOi86LTotujD6M3oxOiq6Jbol+is6Mzo8+ke6TzpOOkV6O3o1+jS6MjoruiJ6GXoTOhC6EToS+hY6G3oj+i76OfpFOlL6Y/p0On16fTp3OnA6anplumF6Xbpaulk6W3pi+m26dzp7+nv6evp8+oO6jfqXOpt6m7qcOqD6qPqxurx6y/rgevX7B7sUOxn7FnsKevx69rr7+wb7ELsbOyz7R/tnu4T7m3uqe7R7vXvJu9r77Lv4+/88BTwRfCO8NjxD/Ex8U3xc/Gi8dTyB/JI8qHzCPNb84bzkPOZ87Xz2fPx8/70EPQx9Fb0dfSQ9LL03vUM9TP1VfV39Z710PYQ9ln2ovbq9zb3j/fu+Er4ovkB+Wn50foz+pH68/tS+6D74Pwo/Ij8+P1h/br+D/5p/sn/KP+A/9MAJQB9AOIBTwG8AiUCkgMIA34D7QRbBNQFTwW0BgEGUga5BxYHPwc/B14H1QiECRIJQAkcCNwIqwiPCIAIcAhWCD8IQAhrCLEI9wkvCWgJtgoaCoIK3AshC1QLfAukC9UMDQxHDIMMxQ0IDT0NXg11DYsNnA2iDZ0NnQ2pDb4N1Q3uDgsOKA5DDmEOgw6nDsYO4g7+DxkPLg9AD18PjQ+0D7kPoA+ID44Ptw/zEDcQfhDEEQIRNhFhEYcRqxHTEgYSPRJkEnISchJ8Eo4SkRJ/EnQSjhLCEuQS2BKrEmkSARFhEKUQBw+UDwgOGQzOC4MKjQoFCdsKCQqQC1UMJAzRDVUNuA3+DisOTw5zDocOdQ5GDhoOAA3jDa8NcA0+DRkM7Qy0DHwMSQwKC70LgAtwC3QLUgr2CowKSQo0Ci0KIgoVCfwJuAlGCNIIkAh8CGIIJwfnB8kHwAecB0oG9wbXBuUG5waxBlcGDQXtBegF4wXWBcMFpwV3BToFAQTVBKsEegRPBDkEMgQjBAID2gO4A5YDawM+AxoC/QLXAqsCjgKKAokCcAJAAhkCBwH9AeUBwgGgAYEBZAFOAUQBOQEdAPcA4wDqAPIA3wDAALcAzgDpAO0A2gC/AJwAcgBXAGoApQDWAM8AlABSADEAMAA4ADQAKAAfACYANAA7ADIAJgAmADMAPgA/AD0APwBAADMAGwAKAAoAFAAfACsAPABRAGUAegCPAKEAqACoAK8AxADkAQcBLwFfAY4BtAHOAeQB/AIVAiwCPwJRAmQCegKWArUC0QLlAvYDBgMPAw4DDAMUAyYDLgMiAwsC/QMAAwgDDAMIAwAC+gL5Av8DBQMHAwQDBAMJAw0DCQMAAvYC7wLzAw4DQwN7A5QDhgNnA0wDLgMCAuAC/QNpA+QECwOpAt8CBAFaAPcAzADFANAA2gDXAMMAqQCYAJIAjgCFAHcAbABhAEwAJP/v/7X/ev84/u/+pf5g/h/94P2h/Wn9N/0K/N/8t/yT/HL8T/wm+/r70vuy+5v7iPtw+0/7JPry+sD6kPpk+jv6Evno+b/5lvlu+Un5KPkK+Ov4wviR+GH4O/ge+AL34/fA9533efdS9y33C/bp9sP2mvZx9kn2IfX39cv1ofV39U31JvUC9OD0u/SS9Gb0NvQB88vzmvNz81PzMvMP8uzyy/Kp8obyZfJK8jDyDvHl8bzxlfFs8T/xEfDo8MbwqPCJ8GfwRPAh8ADv5u/S777vpO+C717vOO8R7unuxu6t7pzuj+5+7mLuQO4f7gft9+3o7dbtxO227aztoe2V7Yzthe197XHtaO1l7Wvtc+177YDtg+2F7Yrtle2k7bDtve3Q7e/uDu4g7ifuNO5N7m3ui+6p7tDu/e8n70TvXe9776Lvze/38B/wS/B/8Lbw5/EI8R7xO/Fr8afx4fIT8kTyd/Km8sry8PMi81zzjvO18970DvQ99Gn0pvUE9XT1zfYB9jT2jfcL94b35/g9+J75B/li+aX52/oM+jb6U/px+pr6yPrm+ur64Prc+uX68vrz+tb6lvpC+fr51fnE+Z/5Tvji+ID4OPf295z3Jfam9jL10fWG9Vf1SPVV9Xn1rfXl9gz2EvX/9fH1//Ys9m/2xfcs95n3/fhT+KD46fkp+Vz5ifm7+ez6Dvob+iD6I/ob+gL55/nf+ej55vnC+Xj5D/iI9/T3g/dm9573/PhR+Jr46vk7+Wj5YflD+TT5Nfkj+Oj4lPhE+AX31Pew95L3bvcy9uf2p/aG9oD2h/aU9p/2mfZx9jL18fWw9VP0w/QK80nymvIN8bvxtfHj8f/xz/FW8MPwMu+a7vPuVO3d7Y3tSu0C7MHslex87GfsUOxA7DrsN+wv7CHsF+wZ7CPsKuwj7A3r+evv6+vr4OvO68Drveu566vrluuG64Drfet6633riuuY66Drpeuw68Tr2Ovo6/fsCewb7CrsOuxQ7Gzsh+yf7Ljs2O0A7SztWO2C7ajtze3x7hjuP+5p7pnu0O8H7zrva++i797wFfBB8Gnwl/DO8QfxP/F58bnyAPJI8ozyy/ML80/zl/Pj9C/0fPTJ9Rf1ZvW29gj2XPav9wH3VPem9/b4QviL+Nj5LvmL+ef6PfqJ+sr6//sn+0P7Wft1+5v7y/v8/Cb8Svxu/Jf8w/zu/Rj9Rf10/aL9zP30/h/+Tf5//rH+4/8U/0P/cv+k/9sAFgBWAJoA3gEhAWUBqwHyAjgCfAK+AwADQQN/A7sD+gQ8BH0EtgTrBR8FUwWBBacFygXtBg8GLQZGBlwGcQaCBowGkAaUBpsGowasBrgGyQbfBvcHEwczB1cHewegB8QH6QgLCCwITwh4CKEIxwjkCPwJEwkqCT8JUwljCW8JeQmBCYgJjwmZCaoJvwnSCeIJ9AoJCh8KMQpRCpsLHAu8DFIMyQ0mDXkNwg37DiMOOA43Dh0N+g3pDfgOHQ5IDnUOog7HDtgO0w7DDq8OlA5uDj8OCg3UDaENeQ1bDTgNBAzFDI8MbQxTDDAMBQvcC7YLjQtaCyYK9wrMCqEKdQpNCikKCAnrCdUJxgm7CbMJrQmtCbwJ4wofCl0KiwqiCrMKzQrwCxcLRAt/C9QMEAwtDDMMMww3DD4MRgxUDGoMhQydDKoMqQybDIYMcwxpDGsMfAygDNIM9AzmDKEMRwwEC+8L9Av6C/YL9wwIDB0MHwv/C8gLhwtCCv0KxgqvCrcKwwq3CpIKYwo2CgUJ0gmlCYYJcwlkCVoJVglQCUcJRwlnCaYJ6AoYCjoKWgp4CpEKrwraCwALAArZCq0KlwqECksJ5QlyCQYImAgcB6QHSQcLBs8GiAZBBgYF1wWrBYUFZwVNBTUFJwUtBT0FSwVYBXgFrgXfBfMF7AXfBdQFvQWSBWEFQwU8BTwFLwUTBPME1gTABKwEkwRvBEIEFwP3A+MD1gPKA7sDpgORA4UDhwOOA48DkAOrA+4EQgR8BIAEXgQvA/0DwwOAA0UDFQLhApwCUwIoAiICJAIMAdwBtgG3AdUB9gIOAiUCRQJjAmoCVQI0AhgB/gHXAaEBZwExAPMAowBE/+3/qv9y/y7+2v58/hf9qf06/NP8cvwF+3r61vor+YD4zvgZ93H24/Zp9fT1gfUY9Lr0YvQN88XzkvNs80nzJ/MK8vLy2/LD8rHypvKj8qXyq/Kz8rvywvLO8tjy1/LJ8rTyo/KY8pbyr/Lr8zbzcPOS87fz8PQs9E70V/RV9DXzxfLz8fzxM/C28GjwKu//7+fvvO9M7qTuE+3s7j3uzu9J73LvPu7O7lXt7e2Q7Sfss+xO7BPsAOv+6/Lr0+ut647rfetx61vrPusp6yzrPutD6y7rCeri6r3qkOpZ6iDp7Om/6ZfpdulY6TTpBujd6M7o2+ju6PXo7ejd6Mjoq+iL6Hbocuh26HzoiOie6LTov+i+6L7oxejR6ODo8+kH6Qvo8ejH6Kbom+iS6HfoSegd6AToAOgI6BPoHOgm6DfoV+iD6LLo3+kR6U3piumx6bvpr+mZ6YDpYulF6TDpJekp6UDpaemZ6b7pzunO6c3p1+ny6hfqOupN6k/qUepi6oTqs+ru6zfrh+vS7BLsSOxo7FrsGuvS67fr2ewT7EDsZ+yv7SXtru4i7nLuqe7X7wjvQ++F78Pv8vAV8D3wdfC38PbxJvFI8WTxf/Gg8czyBfJN8qTy/vNG82rzdPOD86zz5PQO9B70JfQ49Fj0efSW9LT03vUR9Uf1evWr9d32FfZX9qH26/cz93/30fgj+HH4wPkb+YL55/pC+p77B/ty+8v8FPxi/Mb9Mv2Q/eD+Nf6U/vT/Sv+a/+4ASACoAQ8BfQHtAlkCyQNDA8AENQSdBQAFYgW4BgUGXgbGBxsHPgdEB2sH0whRCKYIwgjFCM0I2gjlCPUJBgkGCPQI8wknCYMJ0An1ChEKTgqtCwgLSAtzC5sLxQvvDB0MVAyNDMIM8w0lDVcNfw2YDaYNqw2oDaENoQ2wDcoN5g4BDhoOMg5JDmUOiQ6xDtQO7g8IDyQPPQ9PD2EPeg+XD6gPpQ+eD6oP1hAeEHEQvhD8ESsRUxF6EZ4RwBHlEhMSRxJtEnsSfxKLEpkSlhKAEncSnBLeEwwTCBLhErIScRIFEXgQ8BB7D+4PEg3nDKcLjAqqCg4J1AoTCrcLhAxHDO4NeQ3lDjAOZQ6ODqIOlA5wDk4ONQ4TDdsNog19DWQNOwz/DMMMkwxeDBYLyAuJC1ILDgrBCokKcwpmCkYKGgn9CeQJqwlGCOUIuQi1CJwIUgf+B9EHwgeaB0cHAQcIB08Hdwc6Bq4GLwX5Bf4GDQYSBhYGGAX/BbwFYQUPBM8ElwRoBFEEVARYBEQEGwPyA9ADqANyAzcDBQLcArwCrwK2ArsCpgJ5AlICQwI+Ai0CDQHqAcoBqwGPAXwBagFNASoBFQEUARIA/QDkAOYBCQEnASAA9AC/AJQAfACKAMYBEwE4ARMAuwBqAEQARABRAF0AZwBzAIMAkQCSAIIAbQBjAGkAcQBxAGsAawBwAG4AYQBSAEgAQgA/AEMAUgBlAHcAhwCaAK4AuwDDAM4A4AD5ARYBOwFoAZYBvwHfAfsCEgIiAjACRAJiAoACmgKzAs0C5ALzAwEDEgMkAywDLAMwAz4DTQNSA04DSANFA0MDQgNDA0EDOwM0AzUDOwM9AzYDKwMmAyUDHQMOAvwC7gLpAvIDBgMWAxAC9QLfAuAC+QMmA3sEDQTDBUYFQQSmA7cCzQIdAacBVQEZAO0AyACeAGgANwAfACcAPgBMAEcAOwAxACMACP/d/6v/dv87/vj+s/5y/jX99v23/X39Sv0c/PD8xvyh/H/8Wvww/AX74fvH+7X7pfuO+2z7P/sM+tj6qPp9+lT6Kvn9+dD5p/mC+V/5Pvke+Pr40Pig+HH4Sfgp+Ar36PfD95z3c/dK9yX3Bfbl9sH2mvZy9k32J/YA9db1q/V/9VP1K/UH9OT0vPSQ9GD0LfP488PzlPNw81LzNPMS8u7yyfKk8oDyX/JF8ivyCvHk8bzxmPFz8UrxH/D28NPws/CS8G3wRPAd7/zv4+/P77nvne9871rvOO8V7u/uze6z7qPulu6E7mfuQu4i7gvt/e3s7dbtwe217a/tpu2X7Yftfe147XPtbe1p7Wrtb+137X7tgO2A7YXtk+2l7bLtue3H7eLuA+4a7iPuLu5G7mjuiu6r7tDu+O8e7zzvWO9576Dvyu/18CDwTfB/8LXw6vER8SvxRvFx8avx5vIW8kDyavKY8sfy+vM082zzl/O58970DfQ99Gn0qPUK9X/12fYE9iT2avbg92L30fgx+Jf5Afld+aP53PoR+j/6YvqF+rP65/sK+xH7CvsJ+xX7Ifsa+vn6vPpv+in5//ns+c75ifkj+MH4dvg099v3Yfbd9mn2D/XO9aj1nvWv9dP2AfYt9kP2OfYk9i72dPbr92/35/hO+Kf48fkp+Vf5gfmj+bn5x/nc+fv6HPo5+lH6YPpb+kL6Lfo0+lH6WPoj+a/5Ffh29/L3sPfE+Bj4cvit+Nb5Evlf+ZT5lfl2+Vz5Tvkz+Pr4s/h0+EL4Fffs9873sfeC9zz28/bD9rX2vvbL9sb2l/Y69cj1ZvUe9Nn0ffQG83ny2fI38b/xm/G48c3xoPE68MjwVe/Q7zjutO5j7ivt2+1m7PHsn+xx7FXsQOw47DzsP+w57C3sI+wj7C7sPexD7DPsFuv96/Dr6Ova68zrx+vG68Drruua64zrhOuD64zrn+uw67rrv+vM6+Lr+OwL7B3sMOw97EXsTuxj7H7smOys7MPs5O0P7TztZu2P7bbt3e4D7inuTO5w7pvu0u8N70Pvcu+f79DwAvAu8FTwfvCv8ObxHvFW8ZTx2vIh8mLymfLO8wrzU/Ok8/T0QfSQ9OP1OPWN9d/2MPaB9tT3KPd+98/4Gfhg+K/5Cflo+cP6E/pa+pn60Pr5+xX7K/tF+2r7mPvH+/H8Fvw8/GP8i/yx/Nr9CP06/Wz9mv3F/fP+JP5V/ob+tv7m/xj/Sv99/7L/7AAsAHIAuAD8AUABhwHPAhYCWQKeAuYDLwN0A7YD9wQ8BH4EuwTyBSkFXgWOBbUF2AX8BiAGQAZaBm8GgQaQBpoGoAamBqwGswa7BsYG1QbnBvoHEAcsB0sHaweLB7AH1gf7CB0IPwhnCJMIvAjdCPgJDwklCTcJRwlUCV8JaAluCXEJcgl0CXwJiwmfCbIJxwngCfgKDwo3Co4LHQvEDFcMxQ0fDXcNyA4BDhwOIg4YDgAN4w3WDd8N9w4VDjkOZg6PDqIOnw6UDosOew5aDiwN+g3GDY8NWg0tDQcM3gyvDIQMZAxIDCQL+gvQC6kLfwtRCyMK+ArPCqMKeApUCjcKGgn9CeYJ1wnLCb8JsgmuCb4J5wolCmQKkwqzCs4K7QsNCyoLUAuMC+MMGAwuDC0MKAwqDDAMOwxODGwMjQyiDKEMjQxuDFAMPQw4DD8MUQxuDI4MnAyDDEUL+Au8C6ALmguZC5ULlwuoC8ALzQvBC54Lbws2CvMKtAqRCo8KmAqNCmkKOgoJCdcJpAl4CVkJPwklCRAJCgkOCRUJIglCCXIJpAnTCgwKVAqYCsYK4Qr9CxMLEQr9CvsLEgsPCrcKDAlPCLYIOwfCB0sG7wa3BpEGaAY1BfoFvQWFBV4FSAU2BSQFHAUmBTgFQwVSBX4FxwYKBiQGGAYEBfEF0QWbBWMFQgU4BTAFFwT1BNgEwgSvBJcEfARhBEcEKgQMA/ID4gPYA8sDtQOcA48DkQOYA5gDlgOmA9AEBwQuBDoEMgQcA/MDtQN1A0wDOAMXAs0CbwIpAhACCgHvAb0BmQGeAcIB5AH7AhYCQwJyAoUCcgJOAjMCHAHvAZ8BQQDyALMAbwAS/63/WP8Y/tv+jf4s/cL9V/zw/Iv8JPus+xz6efnN+R74bffE9y72rfY29cH1U/T09J30R/P087Lzg/Nc8zPzDfLy8tzywvKn8pfylfKY8pfyk/KQ8o3yivKJ8onyg/Jy8lzyTfJP8mPyjfLL8w7zQvNk84PzpPO387DzpPOo86LzWPK08eHxJPCX8DHv9u/58CDwGe+e7tDuJu4E7mPu5O8o7w7ur+417cDtVuzv7ILsF+vB65Prh+uF63LrResQ6vDq8usC6wbq9Orh6uXq/OsM6wPq6OrI6qDqaOoj6eXpuema6XfpS+kZ6Ofouuic6JPom+io6K7oreim6JXoeOhZ6EXoQ+hO6FzobuiH6KXovujR6Nzo3OjQ6MLovujB6LjomOhv6FfoT+g+6BLn2ue0567nuufI59Pn3efq6AHoJehX6IzovOjp6RrpTOly6YTphOl16VjpMOkI6O7o5ujx6Q/pPelw6Zfprem06bnpwenP6eXp/eoS6h/qKeo76l7qleri6zvrjuvQ7AnsQuxq7FXr++uS62rrmevv7DLsZ+y57T3tzu4/7ofuvO707zDvau+d78rv9fAl8F/wofDd8QzxMvFW8XTxi/Gk8c7yDvJY8p3y1/MG8yfzPfNc85bz4/Qg9Df0MfQw9Eb0aPSG9KL0x/T/9UT1j/Xb9ij2cva79wP3SveQ99X4GfhY+Jb43fk0+Zf5+PpS+rH7H/uQ+/H8Rvyi/Qz9cf3C/gn+Xv7B/x3/av+1ABEAeADcAUABrQIjApgDCgOCBAAEdgTXBSkFdAW7BgUGXgbABwoHJgcwB10HuggaCFUIegiuCO0JFwkkCTUJVgltCWgJbwm0CiQKdQqFCoYKtAsNC1wLigusC98MGwxLDHMMoQzRDPoNGg1ADXINng20DbcNtA2zDbUNvQ3MDeIN+g4RDikOQQ5YDnEOkQ62DtkO9Q8QDzEPVA9rD3YPfg+PD6UPtQ+9D8wP9RA9EJUQ5hEfEUYRZxGNEbUR2BH7EicSVhJ4EoYSjBKXEqUSoxKREosSrxLvEx0THRL7EtUSrBJvEhYRsxFLEMUQBA8LDfcM3wvNCtYKMgoNCmULCAvGDIYNOQ3NDjAObA6RDqQOog6PDngOXg44DgMNzw2mDX8NTA0TDOUMwwyWDFEMBgvIC44LRArvCq0Kjwp9CloKJgn2Cc8JmglRCRQJAwkICOkIiwgYB9EHvgeqB28HLwcyB38HvweWBwcGdQYzBjkGSQZDBj4GSQZFBgoFpQVHBQ0E4gSyBIcEdQRzBGcERwQkBAkD5QOmA1sDHgL5AuUC3ALfAuUC2AK0Ao0CewJ6AnMCWQI1AhIB8wHWAb4BqQGRAXUBYAFVAUYBKwESARQBLgE+ASgA9wDJALUAwwDzATwBfAGHAVQBBQDKALMAtQDAANIA6QD+AQkBCAD4ANsAtwCcAJIAkwCRAIoAhQCHAIwAjQCGAHkAZwBbAFwAawB9AIcAjwCcALAAxQDWAOcA+QEOAScBSgF1AaABxQHnAggCIAIpAi4CQwJrApYCswLGAtgC6wL5AwMDFQMvA0UDTQNKA0oDVANnA3wDiQOJA3wDcANsA2oDZANaA1gDYANmA2QDWwNUA00DQgMyAyUDHAMUAwwDBwL9AuQCvgKlArUC+QNyBBsE4gWSBeEFpAT9BD8DrwNYAxQCuQI6AakBHgCjADn/5v+5/7n/2P/2//7/+f/z//D/4//G/57/cP87/v7+vv6B/kb+Cv3M/ZL9Xv0w/QX82/y1/JH8bPxE/B37/vvo+9f7xPup+4L7U/sh+u/6wPqW+m36QfoR+eH5t/mT+XL5UPks+QX42vir+H/4WPg3+Bf39ffQ96j3fPdS9yz3Dfbt9sv2pfZ/9lr2NPYM9eL1t/WK9Vv1MPUJ9OX0vPSM9Fn0JfPy88LzmfN281jzO/Ma8vbyz/Kl8n3yW/JA8ibyB/Hk8b/xnfF78VfxL/EH8OHwvPCV8GvwP/AX7/bv3O/H767vku9y71LvMu8R7u/uze6w7pruiO507lruO+4h7hHuBO3y7dftvu2v7artpO2X7YftfO137XXtcu1u7Wztbe107XvtgO2A7YXtle2r7brtwe3J7d7t/O4V7iPuMO5G7mXuiO6q7s7u8+8W7zfvWe9+76Tvyu/18CTwVvCH8Ljw6vEX8TvxW/GD8bfx7/Ig8k3ye/Ks8t7zEvNI83vzovO/8+H0DvQ99Gr0qfUO9Yr17/Yc9iv2V/a890H3vPgj+If48PlS+Z/52/oQ+kH6a/qU+sb6/vsr+z77P/s9+z37OPsm+wX61/qb+lz6LvoY+gP5zflu+QT4svhy+CX3t/c29sD2ZPYm9gT1/fYM9in2TfZv9n/2dPZn9oz3CffI+If5D/lX+Xv5kvml+bv51/n2+gr6EPoQ+hv6Nvpc+oP6mvqT+nn6bvqK+rv6w/pz+dD5D/ho9//34vgH+Ez4gfiR+Jj4v/kK+VD5afla+T75I/j++Mn4kPhe+Cz39PfC96r3qfej94H3SPcT9vX27Pbo9s32gPX69Vf0wvRV9Abzx/OJ8zvyxfIq8aDxYPFk8WrxPvDl8ITwIe+x703vI+8570Pu8e5B7Xvs4+yE7E3sMewu7DfsO+w37DHsLewp7CzsPuxV7FbsOOwP6/br7+vr697r0evK68Xrveuy66jrpOum67HrwevP69br3uvq6/vsDOwd7DTsTuxh7Gnsbux77JHspuy47NDs9O0i7VDte+2l7dDt++4l7kzube6L7q/u3u8W70zvdu+b78Lv8PAf8Ezwd/Cl8NnxEPFK8YfxyvIQ8lHyhvK18unzK/N288H0CfRU9Kj1AfVY9av1+/ZM9p728/dL96H38fg9+I/46flG+Zz56Poq+mT6lPq6+tj69PsT+zf7YfuM+7f74fwK/DL8Vvx6/KD8zv0B/TP9Yf2P/cD98/4l/lb+hv64/uv/H/9T/4n/wwADAEcAiwDNARABVwGhAekCLgJ1AsEDEQNfA6cD7QQzBHYEtATvBSkFYgWVBcAF5gYNBjQGVwZzBogGlwaiBqoGsAa1BroGwAbKBtgG6gb7BwsHHwc5B1YHcweRB7UH2wgACB8IPQhgCIgIrwjQCO4JCgkhCTIJPwlJCVIJVwlaCVoJWQlYCVoJZAlzCYUJmwm2CdMJ9AotCpkLOAvhDGgMww0RDW4NzA4LDiAOGg4KDfgN6A3eDd8N5w31DhEOPA5jDnEObA5mDmoOZQ5HDhQN2g2fDV8NIAzuDM8MtgyWDHEMUAwyDBAL5wu+C5gLcgtMCyYLAArWCqkKggplCk4KNQodCgsKAQn1CeIJ0AnLCdwKBAo8CncKqArOCu0LCwsoC0ILZwugC+sMFQwnDCYMJAwoDDEMPwxWDHgMmQyoDJoMdQxJDCcMFwwTDBkMJgw6DEcMQAwcC+MLpgtzC08LOQsuCykLLgtBC18LeguEC3kLXQswCvQKtAqICngKcgpeCjgKDAnhCbAJewlOCS8JEwjyCNIIxAjLCN0I9gkXCTwJXgmLCdkKSQq3CvsLFwsiCyoLKQswC1oLmQudCx0KKgkmCF8H1wdiBvEGlwZkBk8GPgYeBecFnwVcBTMFJQUfBRQFDwUbBSwFNwVJBX4F1wYqBk4GQwYpBgwF4gWkBWYFPwUwBSEFBAThBMUEsgSbBHwEYARPBEUENAQWA/cD4wPdA9YDxAOrA5kDlwOcA54DnQOjA7QDyAPYA+YD8gPwA84DjgNTAz0DQwM3AvIChwIrAf4B6wHMAZ0BfgGJAbEB1QHrAgoCRAKEAqECiwJeAj4CKwH+AZ8BIgC4AHMAO//v/4z/K/7a/o/+Of3W/W/9Dfyt/Er73ftf+sv6I/lx+Lz4D/d09vH2f/YM9Zf1LPTS9IH0LfPd86DzdvNO8yDy9vLc8sfyqvKI8nfyfPKH8ofyffJy8mjyXPJP8kXyO/Is8hzyGfIq8kzye/Kz8u7zIvNL82jzcfNb8zDzDvMK8wbyyPI88Yjw3vBS7+vvxu/48FDwXO/Q7uDuH+3v7jjukO6k7mvuBu2U7R/sqOw168zrdes36xrrFusW6v/qx+qF6mDqa+qT6q/qr+ql6qzqw+rV6tLqwOqm6n7qQen36brpl+mB6V/pKejr6LPoieht6GDoYOhm6Gzoc+h26HPoYuhK6DXoLOgv6DnoSehg6Hzomuiw6LbopOh/6FzoTuhQ6EnoK+gE5+vn3+fJ55zncOdd52fneeeA54Xnkeeo58nn8ugo6GLomOjF6O/pFuk06UXpS+lC6Sbo++jP6LLoq+i46NrpDulI6Xnpl+mm6a7psumx6bPpvunS6enp/uoR6jDqaurD6yzrhOu96+3sK+xf7Ezr3OtU6xzrV+vK7CjsbuzP7WDt+u5q7qnu2+8W71XviO+r78rv8vAs8HbwwPD58R3xPvFn8Y/xp/G48d7yIPJm8pbys/LR8vfzHfNH84Tz1fQb9DX0J/Qb9C30UvRy9In0qfTh9TD1kPX89mr2y/cX91X3kvfS+BH4Svh/+Lr5Avla+bv6HPp7+t37Rvut/Az8avzW/Un9q/3y/jP+h/7p/z//hf/UAD0AsAEXAXgB5gJlAuEDUgPBBDcEpwUCBUcFggW9BgMGWga2BvQHAwcJBzkHlAfrCCMIXwjECTQJbQlpCWAJeQmXCZ4JsQoCCn8K1grjCt4LCwtjC6sLzAvsDCcMaQyWDLMM2Q0JDS8NSQ1oDZUNuw3IDcINvw3IDdQN3w3rDf0OEQ4lDjwOWA5zDowOpQ7DDuQPAA8cDz0PZQ+ED5IPlw+jD7wP1g/nD/UQFxBXEKsQ+hEzEVkRehGhEckR7hISEjoSZRKEEpMSmhKlErUSuxKxEqkSuRLgEwUTDxMBEugSzBKnEnMSNBHmEXcQ2hAWDzcOPA0gC/sLCgqICoMK3wt6DDwNBw2zDiUOYQ6CDpkOpg6gDooOag5DDhgN6w24DXsNOg0KDPMM4AyzDGsMLQwRDAALzQtoCvsKuQqsCqwKkQpPCfgJpAliCUEJQglNCTII1ghZCAAH8AgAB+wHqQd6B5UH1QfaB38HAwa9BrAGoQZxBkUGPwZDBhoFxgWDBXMFcgVMBQIEwQShBI8EcwRVBD0EHQPkA6ADcQNfA1IDOQMhAxgDEQL5AtYCwQLBAsACqQKAAlkCOwIjAgsB8wHcAcUBsgGhAY0BcAFUAUYBRAE7ASABAwD9ARcBSQGBAa8BwQGrAX8BWwFVAV4BYwFjAWsBfgGKAYQBcQFYATcBCgDcAL4AtgC1AK8ApACdAJ4AowCjAJYAggBzAHQAggCOAJMAlgCjALkA0ADlAPoBDwEkAT0BYQGMAbMB0QHvAhMCMQI9AkECUwJ6AqACswK7AssC5QL8AwoDGgM2A1YDaANmA10DWwNrA4cDnwOmA5wDkgORA5QDkAOHA4QDiQOLA4UDeQNuA2IDUwNFAz8DOQMsAxkDCwMBAu8C0AK7AtIDJgOuBFQE8gVYBVwE/gR6BCAEGwRYBJAEeAP0AyACPAF3ANkAVP/m/57/hP+I/5P/nP+n/7T/uP+q/43/Z/85/wT+yf6O/lb+Hv3k/az9ef1L/R/89fzN/Kf8gvxe/D38IfwK+/X72/u4+4v7Wvsp+vz60vqq+oD6U/oi+fL5x/mj+YH5Xfk3+Q744/i2+Iz4Z/hG+Cf4B/fk97v3kPdl9z/3Hvb+9tz2u/aZ9nP2SfYc9e/1w/WV9WT1NfUL9Ob0vvSQ9Fv0JvP088rzp/OH82fzR/Mm8wLy2fKs8oLyXfI/8iLyBPHj8cDxoPGA8WDxPfEV8OvwwPCT8GbwOvAS7/Hv1u+976Lvhe9m70fvKe8L7uvuy+6r7pDud+5h7kruNO4i7hXuCe307dftuu2m7Z3tmO2R7YXte+117XLtcO1s7Wrta+1w7Xjtfe1/7YXtle2r7b7tx+3O7d7t9u4Q7ibuOe5Q7mzui+6s7s/u8+8U7zXvW++C76fvzO/28CnwYPCR8L3w6vEb8UnxdPGd8czx/vIv8l/ykPLC8vLzIfNR84HzqPPH8+n0E/Q+9GP0k/Tr9Wv15fYq9j32Wfau9zD3sPgV+G740/k9+Zf51/oK+j36b/qf+tD7B/s4+1f7YPtd+1P7QPsm+w769frR+pr6ZPpG+jf6Efm6+Uv47fiv+HT4Gvej9yn2xvaD9mH2XfZq9n72lfav9sL2wfa+9vL3jPh2+Vv55/oR+gb59/n0+fz6Dfon+j/6R/pD+kb6YfqS+sL62frM+q/6rPrZ+xf7G/qx+ej5C/hi+Ar39vgN+C34Pfg2+C/4TPiQ+Nz5B/kH+O34yPia+Gf4NPgC98T3evdB9zn3Y/eW96r3mPdx90X3F/bm9qv2VvXZ9Tj0jvPy83DzEPLU8qfyYfHx8XvxNfEh8RPw4/CX8EHv2+9q7yXvS+/F8Bjv2O8L7hTtSOy47FfsIuwX7B7sH+wc7CPsLuwu7CbsMexR7GbsVOwp7ArsBOwB6/Dr1evC673rwevG68zr0uvZ6+Dr6evx6/fsAOwM7BbsHOwj7DnsWex17IPsiuyV7KbsuOzK7OXtDe097W3tne3N7f7uK+5V7nrumu607s7u8O8c70jvb++R77Xv4vAW8Enwd/Cj8NTxDfFK8YnxyvIP8lTykPLA8u/zJ/Nn86jz5vQq9Hj0zvUm9Xr1yvYa9mr2vfcU92z3wvgW+Gv4wvkY+Wj5sPnw+ib6UPpy+pL6tvrd+wP7KftR+3z7qfvX/AH8J/xL/HH8nfzO/P39Kv1Y/Yj9uv3s/h7+Uf6F/rn+7f8j/1v/l//WABcAWQCaAN4BJgFyAbwCBAJNApsC7gNAA44D2QQgBGUEpQTkBSIFXwWXBcgF8wYdBkYGbAaKBqAGrga2BroGvAa9BsAGxgbTBucG/QcQByIHNwdSB3AHjgesB8wH7wgPCCsIRghlCIcIpwjFCOMJAQkcCS8JPAlGCUwJTQlLCUgJRwlHCUkJTwlZCWkJfQmVCbIJ2QohCqALTQv3DG0MsQzyDVINvw4LDiAOEg4ADfgN+Q38Df0N+A34DggOKQ5FDkkOPQ48DkwOUA4wDfINqw1mDSIM4Qy0DJ0Mjgx0DFEMMAwTC/QLzgunC4QLZQtFCyULAQrXCq0KjAp5CmoKVwpHCkAKPAowChcJ/wn5CgoKLApcCpUKzQr4CxULKgtAC1wLggu0C+gMCwwfDCUMJgwqDDQMRAxdDHwMlwydDIUMWAwrDAsL+gvxC+4L8wv+C/8L5gu4C4ULWAswCwcK4ArHCr8KxwrdCwILKgtIC1ELRAshCuwKsQqCCmMKSAokCfwJ2wm8CZAJVwkmCQoI9QjUCK0IkwiTCKUIwwjlCQQJHglHCaEKKgq1Cw8LMws/C0YLTAtiC58L5wvhC0AKIAjyCBAHfgcMBqQGUQYjBhIGCQX0BcUFfgU4BRAFCAUJBQIFAAUNBSEFLgVCBXkF1QYuBlgGTwYxBg8F4wWmBWYFOgUjBRIE+QTZBL0EpASHBGYESgQ8BDQEJAQGA+cD1gPVA9QDxgOwA54DlwOVA5UDlgOaA5sDlwOVA58DswO5A5sDYAMtAyMDNwM3AvsCkAIrAfEB1QG0AYcBaQF0AZsBvwHWAfYCNAJ9AqQCkgJhAjkCIgH3AZYBEACWAEUADv/P/3j/F/65/lz9+P2Q/Sz8y/xp/AH7kPsR+n350/kc+Gf3wPcz9sD2WPXs9Xz1FPS99G30GPPJ85Dza/NE8xHy4vLF8rTymfJ38mLyZPJs8mryXPJP8kPyM/Ih8hTyDfIF8gDyCvIo8lHyefKh8tHzCfM981rzTfMY8tbyrvKo8pnyTPG88RTwffAE76/vnu/h8DjwMO+M7pft3u2x7eTuFO4L7c7td+0J7IXr9+t66x7q5OrE6rnqveq96qLqY+oa6e/p++oq6lTqZups6nvqk+qh6prqhepp6kLqCenJ6ZTpculU6Sno8ei56IvoZOhC6CjoHOgd6CLoJugr6C7oK+gg6BDoAef65/zoBugZ6C/oRehQ6EboIufv58jnv+fL58znsueJ52znX+dP5zPnHecf5zHnPec75zznT+dz55vnxef36DLobeig6Mro6+j/6QnpCukB6OjowOiW6Hjobuh96Kbo6Oky6W7pkOme6aTppemf6ZfpmOmo6cTp4On26hLqSeqp6xrrc+uh68TsBOxJ7Ebr0+s66vXrOOu/7DDsfezg7XbuFu6J7snu++8273Hvmu+y78vv9PA08IXw1fEO8THxU/GF8bbx0PHZ8fPyLvJv8pbyp/LD8vPzJPNL83rzvvQA9B70FvQS9C30WPR49Iv0qPTh9TP1nPYY9pv3BvdL93f3qPfn+Cj4Y/if+Of5O/mX+ff6XPrC+yT7fvvQ/CP8hPz6/XX91/4b/lr+rf8K/1n/nf/yAGcA5gFTAbcCKgKvAy4DmgP/BGoE0QUjBWIFlwXOBg8GYQa1BugG7QbrBxsHegfPCAUIUQjfCYAJ1gnICaAJnQm1CcEJ1wooCqgLCQslCywLXguxC/AMCgwoDGEMnAy9DNMM/g05DWcNgA2YDbsN1g3bDdQN1g3kDfAN9w4EDhoOMQ5EDlkOdQ6TDqsOvw7XDvUPEQ8oD0IPZQ+ID58Pqw+5D9MP8BAFEBYQNhBxEL8RChFEEW0RkBG0EdkR/RIhEkgSbxKOEqESqxK2EsUS0hLSEscSvxLGEt4S+hMKEwcS8RLPEqcSfRJHEfcRhRD0EEgPcg5pDUAMKwtkCwILAgtZC/kMww2CDgoOVQ58DpYOpQ6dDn0OUw4vDhEN7Q22DW4NLg0ODQcM9wzEDH0MUAxYDHUMXgvzC2ELAgsGC0ALTQr3ClwJzQl8CWQJaAlwCWUJLwjPCHoIagiQCJgISAfUB6MH0AgIB/MHnwdTBycG8QaWBkIGJwYuBhoF4QXDBeMGDQX1BZQFKgTrBMkEpwSABGMERwQgA/cD6APwA+cDtgN3A1IDSQM9AyIDDQMNAw4C9QLFApgCfgJrAlMCNgIaAgIB7gHdAcoBswGWAXkBXwFGATEBLgFNAYgByQHzAfQB0gGjAYgBmQHGAesB8QHlAeAB5AHdAcEBowGQAX4BWQEjAPUA4ADdANkAywC8ALUAtgC3AK0AmwCMAIgAjQCSAJcAowC8ANcA6QD4AQsBJQE+AVcBeAGiAcgB4wH7Ah0CQAJUAl0CbQKKAqMCqQKqAr0C4wMGAxgDJAM6A1oDdAN8A3YDbwN1A4cDmwOkA6QDpwOyA7sDuQOvA6cDpQOgA5QDhwN9A3EDYgNWA1IDTAM6AyIDFAMSAwsC9gLkAvUDMgONA+sEMQRIBCMD0QODA3UDzQR8BTsFpwV9BNAD8AMpAoQB2QEQAEj/s/9m/1D/Vv9p/3//jf+K/3b/Wf81/wn+1P6c/mX+Mf3+/cz9mv1p/Tv9D/zl/L78mvx6/Fz8Pvwh/AX75Pu8+4z7WPsq+wL63vq4+pD6ZPo2+gj53fm1+Y/5aflC+Rn47/jG+J/4e/ha+Dr4Gvf398/3o/d491H3LvcM9uz20Paz9o/2YfYv9gD10vWj9XH1QPUU9O70x/Sc9Gj0MvQA89jztvOW83PzUPMu8wny4PK08oryZfJC8iLyAfHg8b/xn/GB8WTxQ/Eb8O3wvfCO8GHwN/AR7+/v0u+175nvfO9e70HvJO8I7uvuze6v7pHudO5a7kXuNO4m7hnuCe3z7dftuu2i7ZPtjO2G7X/td+1v7WntZe1j7WXtae1v7XXtee177YHtju2i7bftxe3Q7dzt7+4H7iLuQO5c7nfuku6w7tTu+O8Y7zjvW++C76jvze/38CvwY/CU8L7w6PEZ8U7xgPGv8d3yDvI98mzynPLM8vrzJvNT84HzrPPR8/b0IfRG9Fn0aPSb9Qr1l/YE9jr2Yfa09zf3uvgX+GD4ufko+Y751voJ+j/6e/qx+uH7EftA+2X7dvt4+3D7XftH+zr7N/sn+vb6tPqD+nH6WPoS+af5RPkG+NX4ivgZ95z3L/bj9r32ufbI9tf24/b19wv3FPcX90f33fjO+b36Tfpu+lj6RvpE+kX6RPpL+ln6ZPpq+nj6nvrX+wr7HPsI+uv67vsg+1j7TPrL+e/5DPhs+CD4CfgH+Aj4Bff89/b4Bvgy+Gn4i/iK+G34QfgO99r3rPd990D29/bG9tL3Gvdz97L3zffL96j3Xfb29o/2OfXj9XX05fQ7843y+/Kc8mryPPHq8X/xHvDb8KjwevBT8CTvxe857tbu+e+Q8BLwAu9j7pLt0+0s7J3sQewj7CLsFewC7AfsIewt7CLsHuw47FbsVOw17BvsFOwO6/fr1uvB68DryuvW6+Pr7uv47ADsCOwP7BXsHuwp7DDsMOww7D/sXex87I/sm+yp7Lzs0ezp7QvtNu1n7ZjtzO4D7jfuYu6C7p7uuO7O7uLu+e8W7znvXu+D76rv1vAK8D/wcPCc8MzxBvFH8YfxxfII8k/yk/LK8vjzKvNk86Hz3PQZ9F70rPUA9VP1pPXz9kH2kfbk9zr3kffp+EL4mfjp+TL5dvm3+ez6FPo0+lf6f/qq+tD69PsZ+0L7b/ud+8r79Pwa/EP8b/yf/M38+v0n/Vb9hP2z/eT+Gf5Q/oT+uf7w/yr/Z/+l/+YAKQBtALMA/AFHAZIB3AInAncCywMfA3ADvQQIBE8ElQTYBRsFXAWYBc4F/wYsBlcGfQadBrUGwwbIBskGyAbGBscGzQbbBvAHCAceBzMHTAdrB40HrAfJB+UIAggcCDYIUwhzCJMIrgjGCOEI/QkYCSwJOwlHCU4JTglHCUAJPQk+CUAJRglRCWAJdAmMCagJ0gohCqkLWQv8DGEMkgzGDSgNoA34DhMOBw36Df8OEQ4fDiEOFA4IDgwOIQ4vDiUOEw4TDicOLQ4HDbwNbA0mDOgMsgyMDHgMZQxJDCYMCQvwC9ILrQuHC2gLTgs1CxoK+QrTCq4KlwqNCocKfgp2CngKewpuClAKNgouCjkKUgp7CrcK+QspCzwLQgtQC2wLkwu+C90MAAwcDCoMLQwuDDUMRgxeDHcMiQyFDGgMPQwTC/QL3AvFC7MLsAu3C7MLkwtfCzALEArxCsMKjwppClwKZgqACqgK2AsDCxoLGQsACtYKpQp2CkwKHgnqCb4JpwmVCW8JMgj8COMI1wi/CJYIcghmCHMIkAizCNAI5QkLCWQJ8AqDCu0LKAtOC2oLdwuFC64L3Qu/Cw0J5QiyB8oHMgbBBmAGFwXrBdQFxQWzBZMFXQUkBQIE+wT8BPUE9AUFBSAFNQVLBX0F0AYgBkUGOAYXBfYF0gWfBWQFMgUUBQIE8ATWBLcElwR4BFsEQQQsBBcD/QPgA8kDwAPCA8IDuwOwA6kDowOYA40DhwOFA38DcwNsA3QDhgOKA28DPwMZAxUDKAMnAvECjQIpAekByQGpAXwBWQFaAXwBoAG3AdMCBwJLAnoCegJZAjUCFwHmAYkBCwCPADH/6/+l/1T+/P6g/jv9zv1h/Pj8jvwe+6j7Mvq1+ib5gfjQ+CT3i/cK9p72PPXY9W/1D/S69Gf0D/O/84jzZvNB8wvy0/Kw8p7yivJv8lnyU/JR8kjyOPIo8hryB/H38fHx9fH68f/yEfI08lrydvKP8rjy+vM781bzNfLo8p3ye/J28lbx7fFJ8KLwIO/D74Tvde+c77zvfu7K7fbtdu1u7Z3ts+2U7VPs++yC6+vrUurd6pzqgep66n3qgup96lzqGunO6Z7pnem86d/p9+oQ6jTqWOpm6lfqM+oK6dzpqel26UvpJOj56MXoluh06FjoNOgF59znyefJ58vnxee757fnuue857fnrOei55/npue158bn0OfK57DnhudY5zvnPOdN51PnPOcX5v7m+Ob15u7m6ub25wjnEOcL5w7nKOdR53vnoOfL6AHoPeh16KPoxejY6Nzo1OjB6KPoe+hT6DjoMehF6H3o1Oky6XXpkemU6ZTpmemc6ZfplOmg6b3p4en+6hrqTOqn6xjrbuuR66br4ewz7Ebr4etE6vTrNevH7EPskezo7XHuDe6F7tHvEO9T74rvp++2783v+vA+8JHw4vEe8UTxaPGe8dbx8/H28gXyOPJ28p7ysfLR8wfzPPNc83jzqfPj9Aj0FPQn9FL0g/Si9Ln04fUk9XX11PZI9sb3Kvdd93j3o/fo+DX4ffjL+Sf5i/np+kb6rPsZ+3v7yPwH/Ez8qf0d/ZT99v49/n/+0P8p/3f/vgAZAJQBGgGQAfsCcQL0A28D2AQ7BKEE/wVKBYcFwQX6BjYGfgbLBvoG+gbzBxwHdQfAB+oINgjjCb0KQwo/CfsJ1gnfCe4KBQpNCsULLgtdC3ILoQvmDBkMNAxWDI0MvwzaDPENJA1mDZYNrA29DdYN6w3uDe0N9g4DDgcOCg4cDj0OWw5qDnYOjg6sDsMO0g7nDwQPIA8zD0UPYA+BD50PsQ/ED90P+BAOECYQThCLENYRHRFVEYARoxHDEeQSCRIvElUSeRKZErISwhLKEtMS3RLiEtoSxxK8EsoS7xMXEykTHBL5EtESrRKHElISBRGfERsQbA+GDncNZAx2C8QLXAtOC6wMZQ1BDfsObQ6dDqYOmg5+DlgONg4fDgwN5w2nDWANMA0gDRwNBAzPDJYMfwyXDLwMrAxCC6cLQQtYC74L7AuFCrUJ/AmoCZ0JnwmZCZgJjAlXCQ0I7QkICREIswgPB6EHsAf8CBEH1weKB1QHGQa6BlsGMwY2BioGAQXyBiMGXwZSBe4FeQUuBQQE2ASkBH8EagRVBEQESwRjBGAEIwPKA44DfAN1A2IDTwNMA0kDLQL6As0CswKiAokCaQJNAjMCGgICAe8B3AHAAZ8BgwFyAWwBdAGTAccB/gIWAf8BxAGPAYgBtgH5AiYCLAIfAhcCDgHwAb8BmgGTAZsBjAFgASwBCwD/APcA6wDcANMA0wDTAMsAvACsAKEAmQCVAJ4AvgDrAQsBEwESASABPgFcAXEBiwGzAd0B+wIPAicCRAJaAmoCfwKaAq8CtAK3As4C9QMXAyYDLQM9A1kDcwOCA4QDgwOGA5ADnAOmA64DugPIA88DxgO1A6gDowOdA5UDjwOMA4cDewNyA28DaQNYAz8DMAMsAyIDCgLxAu4DAgMbAysDLAMhAwgC4QK9Ar4DEwPQBM8FrAYIBdYFYwT9BKIEDAMQAdoAwQAC/5v/a/9c/1//Zv9m/1r/Rf8r/wn+3f6o/nP+Qv4V/ej9uP2G/Vf9Kvz+/NX8sPyR/HP8Ufwu/Az76vvB+5H7Xvsx+w767frJ+qL6ePpO+iP5+PnL+aD5dflM+ST4/vja+Lj4l/h1+FP4MPgK99/3sveG9173OPcV9vf23/bH9qT2dvZE9hT15vW29YX1VPUn9P701vSs9Hv0RvQS8+bzwPOb83TzUPMu8wvy4/K58pLybvJJ8iTyAfHf8b7xnvGB8WbxR/Ef8O7wu/CL8GDwOfAV7/Pv0++175nvfe9g70PvJ+8K7u3u0e617pnue+5e7kbuNe4n7hjuBe3v7djtwO2o7ZXtiO2A7Xntce1o7WHtXO1c7WHtae1w7XTtde127Xrthe2X7avtve3N7drt5+377hfuOu5d7nvulu607tnu/+8h7z7vXu+D76rv0e/68CrwX/CS8L7w6fEY8UzxgPGx8eLyFPJE8nHyn/LQ8wHzL/Na84bzsvPc9Ab0NPRX9Fr0QfQ89H/1CfWd9gj2WfbD91P33fg1+G34tfke+Yr52voU+lD6k/rP+v77KftW+3z7lPuf+6T7ofuY+5f7ovuj+3j7Kfrh+r76qvp3+hz5wPmB+U/5BfiV+Bb3ovdK9xn3EPcg9zH3OvdG91r3aPdq9434DPjo+dH6Z/qT+ov6ifqV+pf6h/p3+nX6f/qS+rH64/se+0j7Ufs/+y/7PPtm+4L7Uvq4+dv5C/iH+FD4Pvgx+CX4HfgV+Ar4A/gL+B74KPgc9/v3zPeV92H3Ovcb9vT2wvaf9q727vc+94P3vffu9/b3tPcx9qj2SvYT9dr1fvT49Fnzw/NV8xDyz/Jn8c7xJPCO8CXv/PAO8B3v1e8j7nLuR+6170bvge9U7vTueO3V7SbssOyQ7IvsYewc6/bsA+wZ7BfsDewX7C7sNOwj7BDsB+v76+Pry+vE68zr1uvc6+Pr7ev57AfsFuwj7CnsLuw07DzsQexF7FLsa+yG7Jnsp+y47NHs7u0Q7TrtaO2Y7cnt/+457mzuj+6h7qzuue7J7t3u8u8L7yjvS+9z75zvx+/28CrwXfCM8Lzw9fE28XbxsvHv8jPyd/Ky8uXzGfNW85nz2fQU9FL0mPTm9Tj1iPXU9iD2b/bA9xL3Zve++Br4dPjD+Qj5SfmJ+b/56PoJ+iz6VPp9+qL6xfrp+xD7Ofti+437tvvg/Av8Ovxs/J38zPz7/Sn9VP2A/a/95P4a/lD+h/7A/vz/Of92/7j//wBIAJAA1gEdAWYBsgIBAlMCqAL+A1EDoQPuBDoEhQTQBRgFWgWYBdIGCAY5BmUGiwasBsUG1AbZBtoG2QbXBtYG2gbmBvkHEAcnB0AHXgeAB6MHwgfeB/YIDggoCEQIZAiHCKgIwgjYCO4JBwkdCS8JPQlJCVMJVglQCUgJQQk9CT4JRglTCWQJegmWCboJ7QpCCskLbgv+DFAMcQycDPkNcw3RDfYN9g34DggOHw4qDiIODA34DfcOBg4NDf8N6A3lDfQN8w3EDXMNIgzmDLkMkgxxDFUMNgwTC/ML3AvEC6ILeQtUCzoLJQsSCv4K5wrLCq4KnQqdCqAKoAqfCqYKqgqcCoAKaApgCmUKcwqXCtkLJAtUC1wLUwtYC3MLmAu7C9IL+QwdDDMMOAw4DD0MTQxkDHkMgQx3DFkMMAwIC+ILuQuNC2oLXgtjC2ELQQsOCuEKxQqnCnYKOgoNCgAKDgosClYKhwq1CtMK3QrSCrcKkQpqCj4KBgnFCZIJewluCUkJCgjPCLUIrwidCHYITwg+CEYIYAiCCJ8ItQjYCScJowoqCpoK8wtDC4ELlguOC48LlQteCqsJkghvB40G8QZ9BiEF3wWzBZAFdgVmBVYFOwUZBQME/QT5BO8E7gUEBSoFSQVlBZEF0wYQBiUGEAXrBc4FtwWWBWQFLgUGBPEE5QTQBK8EiwRtBFYEPQQdA/cD1AO6A64DqwOqA6cDqQO3A8gDzAO3A5cDfANsA18DUwNPA1kDZQNhA0gDJgMQAxADGwMUAuECgwIfAdoBtgGZAW8BRgE7AVMBdwGRAaQBwQHvAh0COwJEAjwCIQHlAYQBDQCZADL/1f95/yL+0v6B/iL9tP1A/M78VvvT+076zvpS+cn5LviM9/X3bvb29oz2KvXK9Wr1D/S89Gn0EvPC84rzaPNF8w7y0fKj8oryd/Jh8k7yRfI98jDyH/IN8fjx4fHS8djx7PH98gjyGvI68ljyavJ88qny9vM/81TzIvLF8nfyWPJP8hvxlvDf8Dvvzu+K71bvMu8f7vXuhu3b7UftFO067Wrta+067O3siewE62vq4+qK6mHqVOpS6lbqWOpN6iTp4OmV6V3pROlA6UTpUul56brp+uoX6gTpzumN6U/pGOjr6MXonehu6ELoKOgh6BTn6+ev537nbOdx53HnXedC5zPnNedA50fnROc85zbnOedF51HnUedB5yLm/ubf5s/m0+bg5uTm0+a45qrmrua35rvmvebJ5t3m6ubt5vXnDecx51fneuej59boDehB6HDoluiv6LPooeh96E/oI+gD5/Tn++gg6Gro0+k86X7pjemD6YHpkOmj6avpq+m16dTqAOom6kHqaeq36x/rcOuN65Xrxuwe7Ebr9utb6vzrLuvE7FDsp+zz7WLt6O5d7rvvE+9n75/vsO+x78bv+PBC8Jfw6vEp8VDxcfGh8djx/PIH8hjySPKF8q/yxPLk8xvzU/Ny84bzqfPZ9AP0JPRO9Ib0t/TY9P/1RPWc9ez2NfaO9vf3SPdr93z3p/f1+E74o/kE+Xb55/pE+pn6/ftt+9D8GPxP/I784v1I/bH+D/5c/qP+9f9Q/6b/+QBZANQBWAHTAkICtAMrA50ECAR0BNwFMwV3BbYF+wY8BnQGtQcBBzcHOgcoBz4HgAe3B9AIGQjjCfUKsgq+Cl4KEgoJCh4KPAp+CusLVguTC64L0gwGDDQMVwyBDLgM5Q0ADRwNTw2JDbANwA3ODeUN+A3/DgYOFA4eDh8OIw4+DmUOgQ6JDo0OoA69DtMO4Q70DxEPLg9CD1IPaA+ED58Ptg/OD+cP/RATEDIQZRCpEPERMRFmEZERsxHPEe4SFhJDEmsSixKnEsMS2RLgEt4S3RLfEt0S0BLCEsgS6xMbEzwTPRMjEv8S3BK7EpMSWxIOEagRHRBkD4IOjQ2aDLQL8At4C4IMIA0eDhYOsw7eDrsOgQ5TDj8OQw5ODkEOBg2oDVINKw0oDSIM/wzODK4Mqgy3DLkMkgwsC6ILRgthC88MBgueCscKGAnqCgoKGAn+CecJ3Am0CWQJIwkZCRMIvAgaB5gHhAexB7sHiAdUB0kHQQcJBrEGcwZaBj8GEwYABiwGaQZoBhYFrQVlBToFCQTSBK8EpASaBIkEhwSYBJkEZwQSA80DsgOsA50DiAN5A2wDTwMkAv0C4wLMArMCnAKJAnECTwItAhQB/QHcAbkBqQGyAcABwQG9AcsB6wIAAe8BvwGYAZwBzQIHAioCMAItAiwCHQHtAaoBfAF6AZEBmgGDAVgBMgEYAQgA/QD3APcA+QD4APIA5wDZAMkAtgCqALcA5wEkAUgBQwExATgBWgF/AZQBpgHJAfYCGAIqAjgCSgJfAnUCkgKyAs0C2wLoAv8DGgMsAzIDOwNPA2cDeAOBA4QDiAOOA5cDpAOxA74DyQPRA80DugOjA5cDlQOWA5QDkwOVA5QDjAOEA4IDfwNwA1oDSQM8AykDCgLrAtkCzgK/AqUCjQKDAoUChAJzAl8CdwLuA8YEtQVeBaYFxQX3BiQF7wUeA9cCfAFXAHr/3P93/0j/Pf8+/zn/Lf8b/wP+4f6z/oD+UP4m/f390P2f/XD9RP0Y/Oz8xfyk/IX8Yfw7/Bb79fvP+6H7cftH+yX7Bfri+rr6kvpo+j76Efni+bL5hPlZ+TH5Dfjs+M74sPiO+Gr4Rfgc9+73v/eR92j3Qvcf9wL27PbU9rL2hvZW9ij1+/XM9Z31bvVA9RL05vS79I70XPQo8/jzyvOc83HzTPMs8wry4/K68pbyc/JO8ifyA/Hi8cHxn/GC8WjxS/El8PPwv/CP8GbwQPAd7/rv2u++76Tvie9s703vLe8N7uzuzu6z7pruf+5g7kbuMu4j7hLt/e3o7dbtxO2v7ZvtjO2B7Xjtbu1m7WHtXu1e7WLtau1y7XPtce1x7Xftgu2R7aPtt+3K7djt5O307g3uL+5U7nbule627tvvA+8p70nvZ++J77Dv2PAB8C3wYPCV8Mbw8/Eh8VHxgvGx8eLyFvJI8nbypPLY8w/zQPNp847ztvPh9A/0QfRp9Gr0N/P78//0avUT9bj2RPbW9334FPhx+J34zvkj+Yf53Poe+mP6qvrm+xP7Pftq+5P7r/vF+9z77/v4/AX8H/ww/BT7xPtp+y77DPrb+oz6Ovn++cr5fPkL+Iv4FPey93L3Xvdt94X3lfei97b3xffH99v4Pvj8+db6cPqs+rP6vPrQ+tn6y/q3+q76tPrL+vL7KPtZ+3L7c/ts+3X7j/un+5X7NvqH+bf5C/iu+JT4lPiQ+If4ffhr+E34Lvgc+Bn4FPgD9+T3uveH91X3M/ck9xT28/bP9sL20fbs9w/3TPem9+r32vdw9uv2j/Zl9kv2IPXc9Yf1LPTb9I/0K/OJ8qPxnfCs8AHvvu/b8AbvyO767gHtfu2r7jjute767wjuzu4+7ZPtNe0+7VDtCOx47APr4+v17ADr++v97AfsCev76+nr2OvA66XrmOuh67PrwOvH69Lr4Ovu6/7sEuwj7CrsKews7DbsROxS7GLseuyS7KXstezK7OjtDO017WPtk+3C7fPuKu5j7pLuq+6x7qvuqe6y7sju5+8E7yDvQO9m75DvuO/i8BPwSPB68Krw3/Ed8Vzxl/HP8grySPKC8rfy8fM284LzyvQJ9Eb0ifTV9ST1cfW59gL2UPah9vD3P/eV9/T4Ufii+OT5Ifld+ZP5vPnf+gT6LPpT+nb6mvrB+un7Dfsw+1X7e/uj+8/8APw0/Gf8mPzH/Pb9JP1Q/YD9s/3o/h7+WP6V/tP/Dv9K/4z/1wAkAGwArwDxATgBhQHWAiwChALdAzQDhgPVBCMEdATFBREFVQWUBdAGCwZABm4GlQa3BtAG4AboBuwG7QbtBusG7Qb2BwcHHAc1B1IHcweWB7cH1QfvCAcIIAg8CFsIfQifCL4I1wjtCQQJHAkyCUEJTQlXCWAJZQllCV4JVQlNCUwJUwlgCXAJhwmqCdwKIAp+Cv4LjwwGDEUMWQx6DMsNOA2RDb4N0A3jDfwODA4GDesNyQ20DbYNyw3aDdENvQ22DbwNsA18DSwM4gyyDJMMdgxTDCoL/gvWC7kLpAuIC18LMwsRCv0K6wrcCtIKygq8CqgKnAqgCqsKswq3Cr0KvwqzCp4KjgqKCosKlAq2CvwLSwt6C3wLawtpC30LmQuzC9ML/gwlDD0MRgxIDE4MXQxyDIMMhwx2DFYMLwwEC9ILmAtZCycLEAsQCw8K9QrGCpgKdgpUCiEJ5Qm4Ca0JwwnrChsKSgpzCpEKowqmCpkKfgpeCjgKAwm+CYEJXglJCSQI5QipCIkIfghsCEoIKAgZCB8INAhRCG4IigiwCPQJVQm+CiMKjwsDC2ALfgtnC0wLNwr0CkcJPwgtB1QGuAZCBegFqAV4BU0FKwUaBRcFEgUHBQAE/gT3BOoE6QUFBTIFWwV6BZ8F0AX4Bf8F4wW/BagFnQWMBWYFLwT+BOME1wTGBKYEfwRhBEsEMQQMA+ADuwOnA6ADmwORA4oDlwO/A+0D/APfA6cDcwNSAz0DMQMvAzcDOwMuAxcDAgL6AwEDCgMBAtACcwIJAbkBkAF6AVkBMgEcASYBRAFfAW4BdQGEAaMB1gISAjwCNwH1AYYBCgCYADH/x/9b/vn+q/5l/g/9of0l/Kb8IfuT+wL6e/n8+Xj46fha99f3Yfby9ob2IPXA9WL1CPS19Gb0FvPL85Lza/NG8xTy2fKl8oHyZ/JR8kLyOvIx8iTyFfIB8efxyvG78cfx5fH+8g3yHvI58lHyYPJ28qny9vM18zvy+/Kb8k3yKvIS8cnxNPB77+HvhO9J7wruwO5y7hftoO0i7Nbs3O0Q7TDtG+zf7JHsLuux6y7qxeqD6lzqQuoz6jHqNOom6fnps+ln6Sfo9ejJ6KPomejD6R3pfemu6Z3pWukF6LXodehE6B3n9ufR57rnu+fF57vni+dL5x/nF+cg5xvm/+bd5svmzubd5unm6+bk5trm1ebZ5t/m2+bI5q3mlOaC5nfmduZ75nzmcuZi5l3maOZ55oDmg+aP5qnmwubQ5tjm5eb/5yPnUOeE57vn6+gS6DXoV+hy6HboW+gm5+vnv+eu57fn1egM6GPo0uk46XDpdOll6Wfpgumm6b3pyOnZ6fzqLepW6m7qiOrD6x3rauuE64TrqewB7D7sCet36wXrHeus7Ezsu+0I7V/tx+4w7pnvCe9v76vvsu+p77vv9fBH8J/w8vEx8VfxbvGQ8cHx7/IQ8jHyY/Kb8sDy0/Lx8ynzafOU863zyPPs9BP0PfRy9Kz02fT/9T31o/YQ9lv2i/bI9xz3YveB95L3wvgU+G/4y/k6+b76OPqT+uH7QPuu/A/8VvyR/NL9IP12/dH+Lf6A/s3/IP+B/+gASwCxASYBowIbAoUC6wNSA7wELQSkBRAFYQWeBeAGMQZ7BrcG9wdLB44HmAd6B3QHmQe7B8wIGwj9CjoLHws1CroKRAomCkQKcwq5Cx8LhQvFC+EL/QwrDF0Migy3DOUNCw0mDUUNcQ2cDbcNxw3bDfMOBg4QDhwOLA43DjwOSA5nDosOnQ6eDqMOuQ7WDuoO9w8JDyQPPw9VD2kPfw+VD6sPww/gD/oQDhAiEEcQhRDPERMRSxF8EacRyBHhEfwSJhJaEoUSoBKzEswS5hLyEusS3xLcEt4S2xLREtES6xMZE0QTVxNMEywTChLoEsESixJHEfIRhxD6EEsPgQ6jDbIMuQvvC6sMHw0jDj0O7g8LDsYOdQ5QDmQOnQ7UDtQOfw3uDWsNMA0uDSkNAgzSDL0MvAyuDIMMQAvlC3cLJgssC3sLpwtQCqAKJQo3CpMKwQqaClIKEgnHCV0I+gjNCLwIhAgTB6YHcwdiB0EHGAchB2gHqgeZBzkGzQaBBkgGFgYHBjcGgAaXBl0F+wWrBXQFQgUUBP4FAAT5BNkEtQSpBKcEiwRNBA8D8APoA9wDwQOgA4QDagNOAzIDFQL3AuAC1QLNArUCjwJtAlkCPwIMAdYBxwHlAgcCAQHaAcEBzQHmAecBzQG5AccB8AIYAiwCMQI2AjgCJQHuAaYBcwFqAX4BkAGOAXgBVgE0ARwBEwEZASIBJwEkAR0BFAEJAPoA5QDVAOABEAFQAXQBawFPAU8BcwGgAbwBzgHrAhICMwJGAlMCZgKAApwCugLWAu0DAQMYAzIDRANJA0wDXgN7A5ADkQOIA4UDhwOKA5EDngOvA78DxwPIA70DqgOWA48DlAOYA5cDkgORA48DiAOBA34DegNtA1oDRwM3AyMDCgLyAuAC0AK5Ap0ChgJ8An4CgQJ0AlMCOgJZAswDbwQGBH4FAQWuBlwGqwZZBXcEQwLxAaQAfv+p/zj/Ff8W/xn/E/8I/vn+4f68/o7+X/41/g394v2z/Yb9XP0w/QP82fy2/Jf8dPxO/Cr8B/vi+7b7ivtk+0T7JPr/+tj6rvqC+lX6J/n3+cb5l/lr+UL5HPj8+N/4wPif+Hr4VPgr9/z3y/ed93T3T/ct9xD2+fbf9rz2kfZm9jz2EPXi9bT1hvVW9ST09PTI9J/0cvRB9A/z3POo83jzUvMy8w7y5PK78pbydPJO8ifyBPHl8cXxovGC8WnxT/Er8Pvwx/CY8G7wSPAk8ALv4+/J77Lvl+9371TvMO8M7ujuxu6r7pXufO5f7kTuMO4g7g7t+O3k7dPtw+2w7Z7tkO2G7Xrtb+1p7WjtaO1m7WXtau1u7W3tau1s7Xbthe2V7aTtte3I7djt5e317g3uK+5O7nHulO637tzvBe8u71Pvcu+S77fv4PAK8DfwavCh8NXxBfEy8WLxkvG/8e3yH/JS8oLysPLl8x7zUPN085Pzt/Ph9A30P/Rw9IH0T/Py87vz9/Sg9XP2Ofb097D4Vvi++On5CPlA+Y752vog+mf6rvrn+xH7Ovtp+5b7uvvd/Af8MPxO/Gn8j/yx/Kz8cfwZ+8r7h/s6+t/6jvpY+iv54flw+Oz4b/gG97/3pve399j38fgG+B/4Mvg1+ED4iPkm+en6gfrI+tf63/ry+wP7B/sC+v36//sQ+zT7ZPuK+5f7l/uh+7z71/vQ+437BvpR+Z75Hvjn+Ob4+PkE+QT48vjM+Jb4Z/hS+FD4Tfg++Cf4DPfo9773n/eS94j3Zvcv9vr20Pat9pv2u/cY93/3p/d59yb26vbS9sn2vva29rP2rPaU9l317fUo9BLy0vGd8KLwB+/U78zvfu6y7a3s/+z17V/t5e5Q7oTuY+3r7XHtYO237fXtpezk7DLr5Ove6+Pr3OvZ69nrzuu265jrdetK6yLrEesd6zjrVut766Xrx+vV69rr5ev27APsCewR7CPsN+xJ7FzsdeyR7Kvsxezk7QntMe1a7YXtse3f7hLuSe5/7qbute6v7p/uke6U7q7u2O8B7yDvPO9f74nvs+/b8AfwOPBp8JbwxvD/8T/xfPG08eryHvJS8ofyxPMM81rzpfPp9Cv0cvTA9Q/1WvWe9eT2L/Z+9sv3F/ds98z4Kvh6+Lr49Pks+V75hfmp+dH5/fol+kn6cPqa+sP65vsH+yn7Tfty+5v7y/wA/DP8YPyN/Lv87P0e/VH9g/23/e7+Kv5q/qj+4f8c/2D/rP/4AD8AgADCAQkBVQGnAf8CXAK5AxQDaQO5BAoEXgSyBQEFSAWHBcYGAwY7BmsGlQa5BtUG5wbyBvoG/wcBBwIHBQcOBx8HNQdRB3EHkgezB9IH7wgKCCMIPwheCH8Ingi4CNAI5gj9CRcJNAlPCWMJcAl1CXkJfgmACXwJdAltCWwJcQl6CYUJmQm/Cf0KTgqzCywLqwwQDEMMUAxlDKAM9Q0/DWwNiQ2pDcYNzg24DZANag1ZDWUNhQ2fDaMNlw2PDYwNeg1HDP4MvAyRDHYMWQwxC/4LyQueC4ILaQtFCxUK6wrRCsEKsQqkCqIKqQqoCp0KlAqZCqgKtQq8CsAKwAq2CqcKnwqfCqEKrQrUCxsLaguaC6ALlQuPC5YLoQuzC+sMGww8DEoMUAxVDF0MaQx5DIcMhAxrDEUMGgvsC7ULcgstCvUK1QrNCskKtQqLClsKMQoLCdwJpQl7CXEJjQnDCf8KMQpTCmsKfgqJCoQKbgpRCjIKBgnFCYAJTAkrCQQIzAiRCGsIVwhCCCQICAf7B/wICQgfCD4IYQiMCMYJCglPCZgJ/Ap5CuILCQr2CtwKyQqKCeQI5QfeBxAGfQYOBbUFcgU+BRIE8ATgBOAE5ATpBPEE9gTvBN8E4AUABTIFXQV6BZQFsgXJBcoFtQWZBYgFhAV+BWMFMwT+BNoEyAS3BJkEdARTBDkEHAP4A9IDtAOiA5cDigN5A3ADgwO4A/EEAwPeA5sDXgM3Ax4DDQMHAwcDAALtAtgCzwLWAuUC8wLuAr8CYAHrAY4BYQFTAUIBJAEGAPsBCAEgATIBMwEqATABYQG5AhACLgH4AYIA+QCBABr/tP9J/uT+lP5P/fz9jP0G/Hn77Ptb+sn6QPnB+UP4wPhA98v3X/bz9ob2HfW79Vv0/vSp9F70GPPW85zzbfND8xby5PKz8oryavJS8kPyOfIs8hzyCvH28dvxvvGv8brx1/Hy8gbyHPI48lLyaPKH8rvy9/MV8v3ysvJX8g7x4fG08VzwyfAf75fvQu7/7qLuK+207VDtAOzI7Ljsz+zq7ObsvuyH7Err+uuV6y/q2+qa6mDqL+oV6hfqIOoT6eLpl+lI6QHovehz6CnoAugh6ITo9+k46Svo5OiI6DTn7ue354jnYOdE50DnUedf503nGObh5sjmz+bY5srmquaO5obmjeaY5qHmouaa5ormfOZ35nXmbeZb5kbmNuYp5hzmFOYV5hnmF+YP5g/mIOY35kXmTeZf5n/moOaw5q/msObD5u7nLOdx56/n2Oft5/noC+gd6Bvn+ue/54TnZOdm54Pnr+ft6ETorOkF6TLpMuko6TLpV+mF6avpyunr6hbqRups6oPqmOrI6xfrX+t363Hri+vh7DPsI+ur6zDrJ+uc7D/swe0Y7WXtvO4c7ofu/e9o76bvsO+q78LwBPBY8Kvw9fEx8VbxafF/8avx4/Ia8krye/Kp8sfy2/L88znzg/O+8+Lz+/QT9DD0WfSP9MX07/Ua9Wr14vZS9pD2rPbY9yX3bPeS96735vg5+JP48flo+fT6cvrL+xX7b/vW/DD8dPy2/QH9Uv2j/fz+W/61/wT/V/+9AC8AnQEFAXIB5gJUArYDEQNvA9YESgTDBS4FfAW3BfwGUwanBukHMQeNB90H7gfMB7UHxQfbB+sIQQktCnwLdQuUCwkKdgpECmgKqgr8C14Luwv1DA8MKgxaDJUMyAzvDQ4NKQ1CDWINiA2qDcMN2Q3zDgwOHA4nDjcOSA5UDl4OcQ6PDqkOsw63DsYO4Q77DwkPFQ8nDz4PVQ9qD4EPmA+qD7sP1A/1EBIQJBA5EGYQrxD+ET8RbxGaEcQR5BH3Eg0SNRJsEpoSsBK6EswS6RL9EvwS7hLnEusS7hLoEuQS9RMiE1gTeBN0E1UTMBMOEuYSrRJlEhkRxhFcEM8QJA9fDnoNdgyDDAAMOg0ZDiQO1A78DtMOqw6wDuAPLQ98D5oPTQ6cDd4NdA1kDWcNQQ0ADNEMtwyVDF4MHwveC4wLNQsLCyALNgr8CoMKPAp2CvkLSgsoCrcKNAmzCTIIxgiHCGwITwgZB9YHlgdVBxsHFAdkB+wISggxB7EHGwasBmgGPgY9BngG0gcBBtQGZQX1BacFcwVQBUUFTwVMBSQE5wS7BK0EnwR3BEQEJQQdBBQD9QPGA58DiQN7A2cDRwMlAxEDCgL7AtkCtQKqArQCogJaAf8B2gH7AiwCKwH6AdEB0gHoAe0B3gHYAfECGwI8AkYCQwI+AjUCGgHrAbMBigF5AXwBiQGTAZABeQFXAT0BOQFIAVgBXQFXAUwBQAE2ASoBGgEJAQoBKgFeAYMBgQFpAWQBhAG1AdwB9gIOAikCQgJZAnYCmgLBAuAC9AL8AwEDDwMvA1YDbgNzA3gDjwOrA7MDogOPA4wDkgORA4wDjwOcA6oDsAOvA6gDnAOQA40DkwOXA5IDiAOCA4ADfgN4A3IDawNdA0wDPAMvAyMDFwMMAwEC9QLoAtoCygKzApsCiQJ7AmICPgIqAj4CeQLGAycDuwSLBW4GIQZzBlIFtASPAwQBaAAh/2D/FP8F/wX/AP74/u7+3/7D/pv+bf5D/hv98f3E/Zn9cf1I/Rv88fzN/K78jPxn/EL8Hfv1+8r7oft/+2D7QPsc+vT6yfqb+mr6OvoK+dz5rvmC+Vn5MfkN+O34zPio+IL4Xfg2+Aj31ven9373Wvc59x33Bfbr9sf2nfZ09k32JPX29cf1mPVn9TL0//TU9K70hvRZ9Cnz9vPA843zY/M+8xby6PK88pfydPJN8ibyBfHo8cjxovGA8WXxTPEq8P3wy/Cc8HPwTPAn8AXv5+/P77jvnO9671PvL+8L7ufuxe6p7pPufe5j7knuNe4l7hHt++3n7dbtxO2v7Z3tku2J7X3tcu1u7XDtce1s7WbtZe1l7WTtYu1o7Xftiu2b7artue3K7dnt6e387hXuMu5Q7nLulu677t/vBu8v71fvee+Z77zv5/AU8ETwePCv8OPxEvFB8XbxqfHX8gHyL/Jh8pDyvPLt8yPzU/N285TzuvPk9An0M/Ro9I/0d/QZ88Hz0fRr9Vb2RPca9+D4jPkD+Tz5Wfl9+bP57foo+mr6rPrj+wz7NPtl+5r7zfwB/Dz8dPye/L/85P0N/SH9DfzW/Ir8K/u2+zz64Pqv+oz6SPnT+UD4svhB9//38fgL+DP4U/hv+I74qPix+Lf46Plg+gP6kPre+vf7AfsR+yj7PftK+077TftV+3D7mPu4+8n71vvs/Aj8CvvX+2j6zvos+aX5U/k5+Ub5Yvl4+Xv5X/ki+Nj4pPiV+Jr4mfiK+Hr4cPhh+Eb4KfgX+Af34/en92T3JPbi9qn2nPbP9yD3VPdS9zf3Kvcs9yr3Jvc091j3hPei95n3SvaZ9Yr0RPLw8a7wpu/776PvUO667eztRe0I7SbtaO2h7bLthO0n7O/tKu227gntw+0P7GjsCuvY66jrfetn61rrPesN6tjqoupn6jDqEeoW6jjqc+rF6x3rWetn613rXOty65Prs+vV6/nsF+wt7ELsX+yE7Kzs1u0G7TntZu2K7arty+3z7iXuW+6K7qPuo+6S7nzua+5s7ojuu+7x7xrvOe9e74vvue/h8AXwLPBU8HrwpfDa8RrxW/GY8c3x/fIu8mPyoPLl8yzzcvO39AD0TPSd9O71OvWB9cb2D/ZZ9qL27fdD96L3//hL+Ir4xPj7+Sr5Tflu+Zj5xvnx+hn6Qfps+pT6uPrb+wH7KPtN+3P7ovvU/AT8LfxV/IH8tPzr/SD9VP2H/b79+v45/nb+sP7t/zL/fP/FAAkASgCPANcBJAF3AdICMQKRAu0DRQOZA+0EQgSXBOgFMQVzBbQF8QYpBlsGhwauBs4G5AbzBwAHCgcRBxYHHgcqBzwHVQdzB5UHtwfXB/UIEwgxCEwIaQiICKgIwQjUCOQI+AkPCSsJTAluCYsJnQmiCaIJoQmgCZ0JlgmSCZIJlwmdCaMJtAnaChYKZgrFCzULrAwODEUMUwxdDIEMuwz0DRwNOw1bDXYNfA1nDUINJA0bDS4NUw1yDXwNdA1qDWINTg0iDOQMqAx9DF0MPQwRC9sLpQt8C14LPgsRCt8KuQqmCpsKiwp/CoMKkAqXCpEKjAqSCqAKrAq0CrkKuAquCp8KlgqWCp0KsQrfCygLcgumC7sLvwu6C7ALrQvADBkMTgxeDFcMUgxWDFwMYgxtDHUMaAxADAwL2gusC3gLPQsBCs4KqwqZCo8KfQpZCikJ/AnXCbIJhAlZCUsJaQmsCfgKMQpQCmEKcQp+CnoKYwpECigKBAnKCYEJQQkWCPEIwQiNCGMIRwguCBIH+AfmB90H3wfvCA0INQhiCJIIvwjiCQkJTwm2ChQKPQo5CjYKOAoGCWgIcwd6Br0GPAXZBYIFPAUIBOIEyAS7BLkEvgTLBN4E6gTjBNQE2AT8BS8FWAVsBXcFgQWJBYoFggV1BWoFZwVmBVkFNQUDBNUEtwShBIcEZgRFBCUEBQPlA8kDsgOcA4gDdQNkA1sDawOVA8ADyQOjA2YDNQMXAv8C5wLVAsoCvgKtAqECpQK3As8C4QLeArACTQHRAWkBNwEuASwBGwD6ANoAzQDYAPAA+gDsANwA8gE/AaMB4gHRAXIA7QBp//r/mf85/tn+gP4x/dn9aPzd/Er7uvsu+qL6Hfmi+Sz4tPg898v3YPb39oz2IvW+9V30/vSo9F70HvPj86jzcvNC8xjy7/LH8qLygfJp8lfyRfIt8hLx+vHm8c/xuPGr8bLxx/He8fbyFPI38lnyfPKp8t3y/fLv8rLyXPII8cLxh/FI8OvwaO/Y72XvFu7D7kPtou0T7MDsqey17Mrs1uzL7Kbsd+xL7B7r4OuO6zvq7uqj6lrqIuoP6h3qKeoX6d/pj+k76OzonOhA597nm+em6AHoeOjE6MDof+gp59nnledY5yDm8ebV5tbm6uby5tTmmuZv5m7mhuaQ5nvmWOZE5kTmTOZP5k/mS+ZC5jLmIeYV5gzl/+Xt5d/l1eXJ5bnlreWv5brlwOXC5cvl4uX+5hTmKOZI5nLmkuaY5ovmheaa5s3nFOde55rnuOe757Pnsee256/nkOde5zLnIect50fnaued5+voSOiV6Lvov+i/6NHo9ekj6VXpiunA6fTqI+pI6mfqierA6w3rUutt62freuvJ7CvsSewC65frcuu47Djsru0I7Vvtu+4k7o/u+O9S743vp++47+LwJ/By8LPw6vEf8UnxZPF+8ajx5vIm8lvyhfKo8sfy5/MT81Tzn/Ph9A30KfQ+9Fb0e/Sv9OT1EPVC9Zb2CfZr9pn2qfbQ9x33a/ee98r4D/hr+Mn5Kvmf+iX6mvrv+zn7kvvx/EH8gvzL/SP9f/3X/jb+m/76/0v/ngADAHMA3QE+AaMCCwJtAscDIgOHA/IEXwTOBTQFhgXJBhAGaAa/BwwHWwe5CAsIKAgSB/4IBwgWCCQIeAldCqULowvSC1IKugp9Cp4K7AtFC6ML9AwlDD0MWAyKDMgM/Q0iDToNTw1oDYYNpg3FDeEN/Q4YDiwOPA5NDmIOcw58DoUOmQ6yDsUOzw7cDvQPDg8dDyYPNA9JD14Pbg+BD5oPsg/CD9EP6xANECcQNhBPEIgQ3BEvEWkRkBG1Ed0R/BIMEhwSQRJ4EqcSvBLBEs8S7BMHEw0TAxL7EwATBhMBEvgTBRMzE3ATmBOSE24TShMwExAS1xKMEkIR/RGlESMQew+4DtoN2gzaDDIMMgzVDbcOZw7EDvoPMw9oD4QPnA/VEBoQDw98DqIOBg3hDe8NzQ1qDQAMvAyYDH8MbAxRDA8Lows+CxELCQroCp0KbAqbCxILcAtmCvQKVQm/CUgI8QitCHYISwgsCAwH2QeZB3YHpAgeCJwIwQhtB9MHSQb8BtkGwga6Bt4HJgdSByAGnAYOBbUFjQV3BWkFaQVpBU4FFQTgBMkEvwSjBHcEVQRKBD8EHQPqA8EDrwOlA5ADcANUA0QDMQMHAs4CsALKAvwC+gKiAioB7gIJAj8CRwIfAfoB+AIDAfwB6AHrAhECRQJnAmwCWwJAAiECAAHhAckBtQGjAZYBlgGhAagBmwF9AWcBaQF9AZABlwGSAYcBeAFoAVwBUQFCATUBPAFdAYIBkQGHAYIBlgHBAe8CEgIoAjcCSgJsAp0C1gMEAyADJQMaAw0DFgNAA3cDmQObA5cDogOvA6cDjQOCA5MDqgOsA5wDjgOOA5MDkwORA48DiQOAA3oDewN+A3sDdANxA3QDdwN1A28DZgNaA0wDPwM1Ay8DKgMlAxsDDwMHAwQC/ALfArYClAKDAnQCWAI0AhkCEAIdAkwCrgNHBAgE5wXcBrMHAAZgBNkC5wEr//7/X/8b/wP++f7y/un+3P7G/qP+ef5O/ij9//3U/ar9hP1e/TT9C/zn/Mb8o/x+/Fj8MfwH+9z7tvuX+3n7Wfs1+w765Pq0+oH6T/of+fH5xPma+XH5Svkk+QD43Pi1+I34Z/hB+BT34fex94j3ZPdC9yX3D/b29tP2qfaB9lz2NfYH9df1pfVx9Tv1CvTg9Lz0lfRr9D/0D/Pb86fzefNO8x/y7PK+8pnydvJP8ijyB/Hq8cjxoPF68V7xQ/Eh8PbwyPCc8HPwTfAo8AXv5u/L77Pvl+9171DvLu8P7u/uzu6y7pvuhe5t7lXuQu4v7hnuAu3w7eHtze217aDtlO2M7YDtde1x7XTtc+1s7WTtYe1i7WHtYu1q7Xztj+2h7bHtw+3T7eHt8e4H7iPuP+5a7nnune7B7uTvB+8v71jvfO+d78Lv7vAe8E/wgfC18OfxFvFI8YDxuPHm8g3yN/Jn8pbyv/Lr8x3zTfNz85nzxvPz9BL0LPRZ9I/0mPRU8/nz7vRw9Vf2Ufcw9/T4n/kj+XX5pvnQ+fv6IvpJ+nz6vPr6+yn7UvuD+8H8BfxM/JH8zPz1/Q39JP1F/Wr9hP2C/Vb8+/x4++77hftL+yD61fpQ+aL49fh0+Dj4Pfho+Jf4ufjX+Pv5Hvkx+Tr5Wvmt+ib6m/rq+xP7Kfs/+1n7dPuJ+5P7lfub+6/7zfvr/Af8J/xH/FD8KPvE+zb6n/od+cX5nPma+bD5zfnj+d/5tvlq+Rn45vjc+OT43vjI+LX4sviy+KL4hvhu+Fv4Rfgk+AD31/ei92L3M/cr9zz3Rfc79zP3Ovc/9yz3B/bu9vX3HPdR93n3Zfbs9g707vOx8mzxQfBr8Ajv6e+170HusO497frt1u257Y/tR+z37NztGu197Z3tUuzT7GnsD+uY6wXqj+pV6jbp/+mu6V/pH+jj6KzojeiT6L/pEOl+6fLqQepa6lfqYeqH6sHrA+tM65br0+v/7CXsUOyB7LTs7e0t7W3tn+2+7dPt5+4C7inuVu547oDub+5V7j/uNe467lnuj+7P7wbvMu9e74/vwO/n8ATwHfA58Fjwf/Cv8OrxK/Fr8aTx2PIL8kTyhPLF8wTzQfOD88z0G/Rr9Lz1DfVb9aX17PYy9nj2xvce93331Pgc+Fr4l/jR+P75Hfk6+WD5jvm7+eb6Efo7+mD6gvqn+tP6/vsl+037evur+9n8APwn/FP8hfy6/O/9I/1X/Y39xv4C/j/+fP6+/wX/TP+P/88AEgBaAKQA9AFKAakCCgJpAsQDHQN1A8sEIQR1BMcFEwVaBZ0F2wYSBkMGbwaZBrwG1wbrBvsHCgcXByMHMAdAB1QHbQeOB7MH2Af5CBoIOwhcCHoIlgiyCM4I5Qj1CQMJFgktCUkJawmRCbQJygnRCc8JzAnHCb8JuAm1CbcJvAm/CcUJ1An0CiUKZAqxCxILgwvtDDUMUQxaDG4MlwzJDPANDA0jDTYNPQ00DSINEQ0ODR4NOQ1PDVMNRw04DSsNGQz2DMUMkwxoDEUMIAv0C8ELkQttC08LKgr6CsgKpgqWCosKfgp2CnoKhAqJCoUKgwqKCpQKnQqlCq4KrgqgCosKewp3CoAKnArQCxULWAuOC7YLzQvMC7oLtQvZDEgMewx2DFcMRwxJDE0MTgxTDFMMOgv/C7kLfgtSCygK+wrPCqkKhgprClYKQgohCfUJzQmyCZgJcglGCTIJUQmdCfUKOApaCmkKdQp8CnUKWgo7CiAJ/wnKCYIJPwkPCOsIwwiUCGoISggtCA4H7gfRB7wHtgfCB98IAwgpCE0Iagh5CIYIqwjsCS0JTglXCWkJfAlXCMoH7gcRBm0F/gWjBVAFCgTaBL4ErQSjBJ8EpgS6BNUE4wTbBM0E1QT9BTAFVQViBV8FVgVOBUwFTgVOBUgFRQVIBUgFMwUFBM8EowSGBG8EVgQ2BBID7QPQA7oDpQOLA3ADXgNUA04DUQNhA3ADagNJAyADBQLzAtoCtwKZAocCfgJ4AnwCjgKpAsMC0wLMApoCNwG6AVABFgEJAQ0BCQDuAMQAoACYAKwAwAC8AKQAmwC8AQMBTgF0AVoA/QB6//j/jf8w/s/+Z/4D/aL9NPyw/CH7lvsT+pH6Evmb+Sz4vPhH99L3Zfb99pX2LPXH9Wj1DvS49G30K/Pv87XzfvNN8yPy/vLc8rzyn/KH8m/yVPIy8hDx9PHf8cvxufGw8bPxvvHM8eLyAvIq8lTyh/LG8v3zCvLa8oHyJPHR8YTxN/Dm8IvwHu+t71DvB+6o7g7tT+y07HXsiuy87Nvs1eyx7IDsUuwq6/3rv+t26y7q6Oqf6lrqMeou6j7qQOoe6d3piukz6NzogugZ56XnSuc654Xn/OhW6GfoNufn55XnS+cK5s3mmOZ35nbmi+aR5mjmIuX05f3mJeY75ijmBuXy5fDl8OXp5d7l1eXM5b/lsuWn5ZvljOV+5Xblc+Vo5VflSeVJ5VblZuV45ZDlreXH5d7mAOY15m3mi+aG5nPmcuaP5sPm/+c352DncOdn51XnTOdL50XnLucK5u7m5ebp5u7m+OcY51rnsOf46B/oLeg26EnoZOiJ6L/pBulP6YzpuOng6g3qReqM6t/rKetT61/rduu+7Cfsbuxm7Cbr9ewB7D7sh+zS7TPtsO417qXu9u8y72PvkO/D8ALwR/CC8Kvwz/D98THxX/GG8bbx9fI18mfyifKq8tXzCvNE84Hzv/P59Cn0TvRo9ID0o/TU9Qr1PfV39cr2MPaB9qX2tPbb9yb3dfez9/D4SPi1+R/5gvnr+lv6vfsN+1v7tvwS/F38nvzt/U79s/4V/nr+4/9E/5r/8ABRALQBDAFgAboCGAJvAsUDKgOfBBEEcgTNBSwFiQXaBicGfAbXBy0HggfaCCgIUAhUCE8IVAhZCGgIwwmgCtILxAwAC5sLEwrUCu0LNwuOC+IMKAxWDHEMjwy7DPINKA1UDXYNkQ2pDcEN2w32DhIOLA4/Dk8OYg5+DpsOrA6wDrUOxQ7ZDucO8w8HDx8PMA81Dz0PUg9sD4APjQ+hD7wP0w/iD/MQDxAuEEAQTBBrELARCRFWEYURohHCEecSBxIZEiwSURKFErMSyBLOEt0S+hMWEx0TExMKEw8TGBMTEwcTDBM2E3YToBOcE3cTWBNMEzwTDBLBEncSNRHhEV0Qpw/UDuoN5wzlDC0MCAx6DTYN7A6KDyoPwhAQD+sPmA+TD/gQURAWD1UOog5tDoYObw3yDVIM6QzODOMM/wz/DMEMQQuvC00LJgsOCt4KqwqrCusLOQtICvwKeQoCCb0JkQlOCOUIfwhFCC0IFggBCBgIdAjkCQ4IxAgrB58HYwd2B5kHjwdZBy0HLgczBvYGcQXuBbQFtwW4BZoFdgVnBV4FQwUjBRQFEwUBBNYEqQSMBHEERgQSA+4D3QPLA64DkQODA3kDUwMGArkCpALZAxwDGgK9AksCGwI6AmoCawJGAisCLAIvAh0CBQIJAjMCaQKLAo0CdAJKAhsB9gHnAegB5gHVAb4BtQG9AcYBugGhAZABlgGqAbwBxgHLAckBuwGmAZcBjgGCAW4BYQFuAZIBsgG8AbgBvQHYAgACJgI9AkwCYQKOAs0DCgMzA0MDQQMzAykDOANoA6ADtwOkA4gDgQOGA34DbwN1A5sDwwPKA7QDnAOSA4sDgQN4A3UDcANlA1kDVQNZA10DXwNiA2cDbANsA2kDYwNbA1IDSAM/AzkDNgMwAyMDEgMHAwYDBALzAtQCuQKmApQCdwJTAjMCGQIJAg4CKwJlAtUDvAVCBxcIawh1BxME3AKiAO3/2v9I/w3+/P71/ur+2/7G/qj+gP5W/jD+Cf3g/bf9kv1u/Uf9IPz8/Nn8tPyN/Gf8Q/wb+/P70Puy+5T7cftL+yX6+/rM+pn6Z/o3+gf52fmw+Yn5Y/k8+Rj48/jK+J/4dvhO+CH37/e/95b3cfdM9y33FvcA9t/2tfaM9mf2QfYV9eP1r/V69UX1FfTu9Mr0pPR79FD0JPPy87/zjvNe8yny8vLB8pzyevJU8i3yDPHt8cjxn/F48VnxO/EX8O3wxPCd8HfwUfAr8Ajv5+/K77DvlO9y71DvMu8Y7v3u3u7B7qjukO557mPuTu447h7uB+337evt2O2/7antmu2P7YPtee117Xbtc+1r7WXtZe1p7Wrtbe127Ybtl+2n7brt0O3k7fLuAO4W7jPuT+5o7oPupe7K7u3vDu8z71vvge+l78zv+vAp8Fbwg/C18OjxGfFL8YHxt/Hl8gzyNfJl8pTyvvLp8xnzSPNy857z1fQJ9Cf0NvRU9In0p/SE9Dv0JfSG9U72OfcW99r4iPkV+Xz5yvoK+jv6Vvpp+o760fsg+2D7jvu9+/z8SfyY/N79GP1C/Vr9aP1//az95f4N/gn90v1z/QL8lvw4+9/7cvrb+hn5Uvi5+HT4gPi3+PD5Gvk8+WP5jPms+cL54foZ+mj6u/r++y/7VPtz+4/7qfu/+9D73vvu+/78D/wl/Ej8dvyW/Ib8M/uq+w76hfoj+e/54/n0+hH6LPo3+iX57vmg+Vf5L/ks+TP5LPkT+Pv48vjw+OH4wvig+In4gPh++ID4e/hl+Dn4BPfV96r3efdJ9yz3IvcL9sn2YfX29a/1ovXK9gn2IvXj9Uj0e/Of8sHx9fFw8Vnxj/G28YjxC/B17+/vhe8x7t3ue+4W7dHttO2V7UDsxuxg7BTrnerG6cTpBeis6HnoJeex507nD+bj5sPmu+bY5xbnbefZ6Evopujc6P7pJ+le6aHp9eph6tvrTuut6/zsReyH7MTtBO1L7Y/twe3f7fDt/e4J7hruL+4/7jvuI+4I7fvt/+4S7jTuau6v7vPvLO9e74/vvu/k7/3wD/Ai8D3wYPCK8Lvw9PEy8XDxqvHj8iHyZ/Kr8ubzHvNb86Hz7PQ49If02/Uv9X71xfYJ9lD2ovb991n3qvft+Cv4avil+ND47fkI+Sz5WPmG+bX55PoP+jP6Ufp0+p/6zfr2+yD7Tvt++6z71vwA/C78X/yQ/MD88v0k/Vn9kP3K/gf+Sv6R/tn/Hf9c/5v/4QArAHcAygElAYgB6gJEApwC9ANPA6cD+wROBKAE7wU6BYAFwQX5BikGVgZ/BqQGwQbYBu0HAAcRByIHNAdIB14HegeeB8cH8AgUCDgIXgiDCKMIvgjYCPEJBgkXCScJOwlUCXMJlwm+CeAJ9An8CfwJ+QnyCecJ3QnaCdwJ3gnfCeMJ8AoHCigKUQqGCtALMgufC/sMMQxIDF0MhQy8DO0NDA0aDSMNLA0xDS4NJQ0cDRwNIA0iDRcNAwzvDOAM0Qy5DJgMcgxPDC0MBgvYC6YLewtcC0ELHwrzCscKpwqVCocKfQp4CnkKegp1CnAKcgp5Cn4KgwqOCp0KnwqPCnUKXwpXCmAKfwqzCu8LJgtZC44Ltgu/C7ALuAv0DF8MgQxlDDsMLQw2DDoMNww2DDEMDAvBC2wLLAsCCuAKvQqfCoIKYQo9Ch4KAwnkCb8JogmSCYAJXAkvCR0JQQmTCfMKPwpsCoEKhwqBCm0KUQo0ChsJ/AnJCYYJRgkXCPIIywidCHIITwguCAgH3Qe0B5UHiweWB68HygfhB/YICAgQCBQIJAhGCGgIeAiACJUIrAiSCCEHcQa/BjYFzwV3BSUE5QS9BKYElwSNBIsElgSxBM8E3QTVBMsE2AUBBTEFUgVcBVEFOwUkBRoFHgUkBSUFJgUwBTgFKgT9BMEEjQRqBFQEPgQgA/gDzgOwA5wDiQNuA1UDSQNHA0IDOAMuAyUDFQL9AucC2wLMAqwCfgJXAkQCQgJKAlwCeQKZArICvAKtAncCFgGiATsA+wDiAOIA5wDbALgAiwBvAHAAfwCCAHQAXABNAFsAlQDvATQBJQC5ACL/nv84/tH+V/3Z/Wn9APyL/Aj7h/sN+pX6Gvmm+Tr4zfhZ9+L3cfcK9qP2OfXU9Xn1JvTW9In0QfP+88LzjfNh8zvzGfL38tfyu/Kg8oPyYPI88hzyAfHp8dHxv/G38bjxufG88cjx4/IK8jryefLG8wTzDPLT8nTyE/G48Vnw9PCV8D/v6u+W71DvD+6p7f/tM+yW7GXsiuzA7NLsuuyO7GLsN+wI687rietH6w7q1+qc6mjqTupP6lHqOeoE6cDpdOkf6MPoX+fs52vm+ebM5v/ndOfi6BPn++ew51Dm9ear5m/mPOYa5h3mPeZO5iLlxuV+5Xrlq+XU5dPlteWb5Y3lgeVw5V7lT+VC5TflMOUs5SXlHOUW5RjlHOUU5QDk7OTi5Obk++Ug5U3lb+V+5Y3luuYF5k3mbeZn5l7mb+aY5sPm5Ob65wnnDOcA5vLm7Obs5uPmyOam5o7mhuaC5nfmceaG5sHnEedY54Xnnueu573nzOfo6B/ocejG6QfpMelW6YfpyOoW6mvqwOsH6zrra+u07BrsfOyu7KPsd+xU7EzsYeya7QXtnu4/7rbu8u8Q7zTvcO+98A3wUfCA8Jzwt/Di8R7xWvGO8cTyBfJJ8nzynvLC8vrzQvOH873z6vQY9Ej0dPSU9Kz0yPTx9Sb1YPWk9fr2Wvan9s724vcJ9033mvff+Cz4lfkR+YT55Po7+pH64/sy+4n76vxH/JL81v0m/Yb97f5T/rz/Jf+G/+IAQQCgAPMBOAF+AdICKAJ2AskDOgO/BDMEhwTPBSkFkgXzBkcGnQb+B2AHtwgFCEsIfwiWCJgIkwiXCMEJPwolCzgMAww0C98LawsvC0ELggvPDBUMUwyHDLAM0wz2DSENVQ2NDb4N3w30DgYOGw4zDkwOYA5tDnkOkA6zDtQO5Q7oDu0O+g8IDxAPGw8tD0EPSg9OD1sPdg+RD6IPrw/FD+EP9hAFEBoQORBTEF4QaxCUEN8RMxFxEZMRqxHJEe0SDRInEkMSbBKbEsAS0hLbEu0TDBMnEy0TIBMUExgTIhMgExATDRMtE2kTmBObE30TYxNfE1sTNhLwEqMSXBIIEYYQzw/xDvoN8QzxDDUL+wxJDOYNlw5TDyUP5RAwD9QPLA7qD1cP/hAjD54O9w68DtwO1Q5eDbUNRQ01DVsNfg14DTYMuAwhC6cLaAtLCyUK6wq8CroK3wr2CtMKhQpHCj8KRAoKCXoI1whtCEkIRghaCJ8JCQlMCRcIcwe/B2AHfgfpCEQIPgfSB0sG9wbQBpQGLAXaBeUGLQZPBhkFvQWEBXkFfAWBBZIFpwWkBXkFOQT7BL4EfQRFBCYEFAP3A9ADtwO2A60DdAMTAsgCyAMCAywDCgKwAmoCbAKgAr0CowJxAlgCXwJmAlYCQAJBAl4CggKaAp0CiwJmAjgCFQIKAhACDwH9AeQB2wHiAecB2wHFAbkBvwHMAdYB3wHvAfsB9wHkAdMBywHCAa8BmwGgAcIB7AIFAgYCAAIFAhwCPAJZAnMClQLKAwcDNgNKA0wDSwNMA1QDbwOfA8YDvwOKA1gDUANrA4MDjgOdA7wD0wPNA7IDnAOSA4gDdgNmA14DWgNQA0QDPwNFA00DUgNTA1QDVANUA1MDUANKA0IDOgMzAzADLwMtAyMDFAMFAv4C/QL5AvIC6ALWAroClwJ7AmgCVQJAAisCFgICAisDDAT4B4gJnQoiCNUGYQPAAZ0ALv9k/xT/A/78/u7+2/7I/q3+h/5d/jX+D/3l/bz9l/10/U/9Kf0H/OX8v/yY/HX8Vfwy/A777PvO+677iftg+zn7Dvrf+q/6gPpQ+iD58fnJ+aP5fPlV+TL5D/jl+LX4h/hc+C/3/vfQ96j3gvda9zf3HfcH9uf2vvaU9m/2SvYe9e71vPWJ9VX1JvT/9Nv0tPSL9GH0NPQD89DzoPNv8zfy+/LH8p/yffJZ8jPyEfHx8cvxovF88VvxOfES8Ovwx/Cl8IDwWfAz8BDv8O/T77jvmu9471XvOO8h7wju7e7Q7rXune6G7nHuW+5C7iTuC+367e7t3u3I7bPto+2V7Yjtfu187Xrtdu1v7Wztce147Xvtf+2H7ZTtoe2u7cHt3O307gTuEe4l7kHuXe507o7ur+7V7vnvGu8972Tvi++x79rwCPA18FzwhfC38O/xJPFT8YHxsfHh8g3yOvJp8pfywvLv8x/zTPNy85vz1fQT9Dv0TfRi9Iv0rfSi9HD0VvSO9SH16/bF95n4U/jm+VT5rfn8+jT6S/pR+nD6vPsi+3r7tPvh/Bf8W/yj/On9L/1y/aP9wf3d/g3+SP5z/n3+b/5T/h79uP0g/Hb71vs5+or5yvkk+Mf4wPjz+Tb5cPme+cf58foc+kb6cPqd+sz6+vsl+0/7d/ub+7r71Pvs/Af8J/xF/Fj8Yfxu/JH8wPzU/Kf8MfuS+vj6gfo6+h/6J/pC+mH6dPpt+kb6BvnB+Y/5fPmA+Yv5iPl0+Vn5Rvk9+TD5Efjj+Lf4m/iR+JH4kPiG+G74SPgU99D3gfc49wb24/at9kT1qPT+9HX0MvQ39Gb0hfRq9BvzwvN58z7zD/MF8zvzmPPY88bzZPLe8lvx7/GV8TfwvPAl74vu9O5J7YLsw+w067Pq4Omh6FTnducT5s7mWOXI5V3lK+UX5RTlMuV55dfmOOaZ5v7nX+eu5+3oHuhH6HLoueky6dLqfOsU65fsBuxg7Kzs9e1A7YPts+3T7e3t/+4C7fnt7+3q7eHtz+2/7cHt1+357iPuWu6f7unvK+9e74jvsO/V7/HwBPAW8C/wUfB48J/wzfEG8UTxgPG58fjyQPKK8srzBPM/84HzyPQR9F/0svUG9VL1l/Xd9iv2gvbe9zT3fve99/r4OPhu+Jb4svjQ+Pf5JPlT+YP5tvnk+gj6JvpH+m/6mvrF+vL7IftR+3/7qvvY/An8OPxm/JP8wvz0/Sj9Xf2W/db+HP5m/q7+8P8u/3D/uQAFAFQAqQEIAW0BywIhAnQCzAMnA38D0gQjBHUExgUTBVsFngXaBg4GOwZjBoUGowa+BtcG7gcCBxYHKwdEB2AHgQeoB9UIAQgoCE4IdwigCMMI3wj4CQ4JIwk1CUYJWgl2CZoJxgnxChEKIAokCiQKIwodChEKBgoBCgEKAAn/CgAKBwoTCiUKOwpaCocKzAstC5YL7AwhDEYMdgy5DPoNIg0xDTgNRQ1VDVkNSw0wDRQM/AzkDMoMsAycDJEMiQx7DGcMTww3DBoL8gu+C4gLXQtBCysLDwrsCskKrAqWCoQKeQp1CnIKaApbClQKWApdClwKXwpwCoUKiwp8CmQKUQpKClIKbwqeCtAK+gsmC10LkQunC6cLwQwLDFQMVgwqDAYMCwwjDCoMIgwaDA4L4QuOCzQK8grKCqoKiwpyCloKOgoTCe4JzwmxCZQJggl5CWcJQAkXCQ8JPgmXCfsKUwqTCrQKsgqUCmsKRgoqChQJ9AnFCYoJUgkkCPoIywiZCGwIRwgjB/cHwgeOB2kHXAdmB3sHjAeUB5gHngejB6oHtgfHB9IH0AfLB9UH4gfQB4IHBwaDBhAFrAVSBQUE0ASuBJcEhQR4BHcEhQShBL0EyQTGBMYE2QT/BScFQQVJBT4FIwUDBPEE8gT+BQkFEwUhBSgFFATiBKQEcAROBDYEHQP7A88DowOCA3ADYQNMAzoDMwM0Ay4DHAMHAvMC4ALOAsECuQKmAn8CSwIhAg8CEAIeAjQCUgJxAooClAKDAk4B9AGLAS0A6QDEALkAvgC/AK0AiABhAEcAOwA6AD0ALwAF/9n/6gBbAPIBOwD5AFr/v/9O/uX+Yv3R/VL85vx4+/77g/sS+qH6Kvm1+Un44fhy9/z3ivch9rj2TfXn9Y/1Q/T89LL0ZfQa89bzofN7817zQPMe8v3y4PLD8p/ydvJP8i/yE/H18dfxwfG58bfxsvGp8avxwfHq8h/yYPKr8uby8fLB8mzyC/Gi8SnwrfBF7/rvwO+K71bvFu6j7eztHuyP7GvskOy27LLsjexg7DfsCuvQ64zrSOsQ6uTquuqK6l7qReo66iXp+em96YDpQOjz6JboL+e75zXms+Zn5njm2edR56Pnrudx5wjmm+ZJ5hLl4+XC5cjl+OYe5fjlieUe5QHlL+Vp5XrlZeVH5S/lGuUD5Ozk1+TE5LTkr+Sy5LXktuS85Mnk0eTL5LXkmOR85G7kfuSx5PPlHuUp5TTlaOXA5g3mLeYy5kTmcuak5r3mvOa05rHmruam5p7mnOaV5nnmR+YU5fbl9OX75f7mAOYX5k3mlebY5wvnLedC503nV+dz57HoC+hk6KToyujl6QnpO+l56cXqH+qC6uTrPOuT6/jsaOzD7OTsxuyI7FjsU+yF7PXtlu497rfu7O787xjvW++08ArwTfB58JfwtPDg8RvxWfGP8cjyEfJg8p7yxPLl8x3zavO18+30F/RA9HD0nfS+9NL05fUE9TT1cvW/9hz2f/bR9wD3HPdC94L3z/gf+Hj46fln+dr6Mfp4+r77Dvtn+8n8L/yK/Nb9Gf1k/b3+I/6P/vv/Yf+/AB0AgQDfAScBYgGkAfgCSwKTAuYDWgPhBFIEnATdBToFrQYbBngG1gdAB6YH+Qg7CHkIsAjOCMwIwQjZCT0J+ArrC88MWAxiDA4LpgtxC4MLwwwLDEgMgAy7DPUNIA0+DV0Njg3JDfsOGg4tDkAOWA5zDosOnA6oDrQOyg7oDwQPFA8dDycPMw86DzsPQQ9PD18PaA9yD4YPoQ+0D74PzA/lD/8QEBAfEDoQWhBwEHkQjhDEERERVxGEEaARvBHeEf8SHhI8EmESixKyEswS2RLhEvUTFhM1Ez4TMhMkEyQTLRMuEyATGBMwE2YTmxOrE5QTdxNtE2sTURMUEsQScxIbEaIQ+hAoDzoOOw1EDIYMMAxPDMENWg4IDssPfA/CD2gOvQ5oDsUPdw/ND4EO+g6+DtcO3Q6KDgwNuQ2sDboNtQ2ODUgM5AxtC/8LtguOC2gLLQrlCrIKpQqoCpQKZQpLCmcKjQpoCdwJKwisCHkIdAiRCNYJKAk6CNoILgeZB2gHoggXCHYIcgf6B1QG3AamBngGMQYQBlYG2AcXBtAGPgXNBacFswXXBgwGPwZNBiIF0QV1BRcEvgR/BGEETgQrBAAD7APwA94DlAM1AwoDKwNfA1YDAwKqApYC0AMTAxkC3gKbAoECjQKaApICggJ9AoMCjQKUApsCmgKGAmMCQQIwAiwCJAIRAgAB/QIEAgUB+AHmAeAB5QHnAeIB4wH0AgsCFAILAf0B9QHuAeEB1gHeAgACKgJIAk4CRQI8AkICWwKBAq0C3wMVA0IDWANUA0oDSwNZA3EDlwPEA9wDvgN3A0EDTAOMA80D7QPyA+sD1gOzA5IDgwOCA30DagNXA04DTANIA0IDPwNDA0gDSANDAzwDOAM3AzgDNAMpAxsDEgMQAxMDGAMdAx0DFwMMAwEC+gL5AvsC+gLrAs4CsgKlAqACkgJ3AloCNAIBAgQC0ATLB4oJzApiCQcGewPGAZcAJP9g/xr/D/8H/vP+3v7P/rj+k/5m/jz+E/3n/bz9lv1y/U39Kv0M/O78y/ym/IX8afxK/Cf8Bfvn+8b7n/t1+0r7Hvru+r/6lPpo+jr6Dfnm+b/5lvlt+Ur5Kfj++Mv4l/ho+Dv4DPfg97n3kvdo90L3JfcM9uv2w/aa9nf2UvYo9fr1zvWg9W/1PvUT9O70xvSb9G/0QPQO89zzrvN/80jzC/LT8qbygfJe8jryGPH38dHxqvGF8WHxO/ES8O3wzvCu8IjwYPA78Bvv/+/j78bvpu+B71zvPu8m7w/u9+7d7sXur+6a7oXub+5S7jLuFe4A7fHt4e3Q7cDtse2i7ZPti+2H7YTtfe127Xftfe2F7Yntju2X7aLtrO237cnt4e357gruGe4s7kbuYu577pbuue7f7wPvJO9H723vlO+67+TwFPBB8Gjwj/DB8PzxMvFd8YTxs/Hq8h/yT/J58qLyzfL+8zDzWfN185TzxfQG9D/0ZPSB9KP0v/S+9J70gfSQ9OT1f/ZS9zr4Cfii+Qn5XPmn+d/59vn8+hv6b/rm+1b7pfvY/AL8L/xl/LD9Fv2H/eH+Gf5B/nD+nP6r/qH+p/7K/tP+dP2f/J/70PtG+tL6S/m6+Uz5I/k9+X75x/oC+iz6Ufp++rb67PsV+y/7QvtY+3X7lvu4+9j79vwU/Dj8ZfyO/Kj8s/zD/Of9EP0Q/MT8M/uH+vH6jfph+mH6efqU+qb6pfqI+lL6E/nk+dH50/nZ+dr50fm7+Zz5g/l++YP5dvlF+Pr4r/h1+Ez4LPgT9/z33fet92r3HfbY9qL2dfY49dP1RPSn9CPz1/PE887z0vPD87Tzw/Px9Cj0VPR99LH05vUD9Pj0yPSG9D3z+PO482fy5fIq8VDwbu+D7o3to+zP6+Pqoukb577m6uaD5hvlfuTe5IDkZ+Ro5HzkveU15cPmQuaq5wnnXOeX57Hnreea55Dns+ga6LrpdOoo6svrV+vK7C3si+zm7TLtaO2S7bzt3+3l7cztqO2R7Yjthe2F7ZLttO3j7hjuVO6a7ubvKu9b733vnO+/7+Hv+vAO8CfwSvBx8JbwvvDw8SrxYfGT8cryD/Jc8qXy5PMh82LzqPPz9EP0lPTh9Sb1afWy9gn2Z/bC9w/3UPeN98v4Bvg1+FX4cfiU+MP48vkg+U35ffms+dT59voa+kL6bfqY+sf69/sm+1H7fPuq+938Dfw6/Gf8lvzJ/P39M/1t/a399f4//ob+x/8I/07/mv/oADkAkADwAVEBqgH7Ak4CpwMDA1kDqgP7BE0EnATnBS0FcQWxBeoGGQY/Bl8GfQacBrwG2AbuBwMHHAc8B18HhQeuB9wICgg1CF8IiAiyCNgI9QkOCSQJOAlMCV8JcwmPCbYJ5woYCjoKSApJCkkKSApDCjcKLAolCiEKHQoaChsKHgohCicKMwpAClAKcgq6CygLnAv2DDQMcAy6DQMNMw1GDVQNbA2IDZANeA1GDQ4M2wytDIYMagxcDFkMVwxPDEAMMQwhDAkL4QusC3QLSAstCxgK/wrjCsgKsAqYCoEKcgptCmcKWgpJCkAKQAo9CjcKPApSCmwKdQpqClsKVApVCl0KdgqfCskK6gsMC0ALeQueC7IL2AwbDDQMFQvjC9IL7wwTDBkMCAv4C+MLsAtbCwMKwwqZCncKWAo+CigKDQnsCcsJrQmRCXkJbQlmCVEJKAkFCQwJSAmlCgwKcgrICvcK7wq7CnkKRgojCgYJ4wm4CYoJXQkuCPgIuwiACFEILggLB9wHogdnBzwHKQcuBz8HTAdMB0MHOwc6B0IHUAdbB1oHSQc1By0HLQcdBuwGnQZABeEFgwUtBOsEvwSiBIsEdwRqBGgEcwSFBJcEowSsBLoE1QT2BREFIQUlBRsFAATgBM4E0gTkBPcFCAUUBQ4E6wSxBHYESgQsBBAD8APJA5sDbwNQAz8DNQMoAx0DGAMXAw8C/gLpAtUCwQKuAqEClwKDAlwCLAIGAfQB8gH7AgsCIQI7AlMCZAJeAjEB4AF/AScA4wC3AKEAnACcAJQAfgBcADEABv/y//8ACv/i/5L/df/bAJsBJQEQAHv/2P9l/wX+if30/Wj88vx9+/77gfsS+qf6NPnA+Vf49/iS+CH3rvdB9tX2avYE9az1ZPUk9OP0nPRN9ADzxfOh84vzcfNR8zLzGvMA8tnypPJu8j/yGPH08dbxxPG98bjxq/Gb8ZrxsvHf8hfyUPKG8q7yt/KV8k7x7PFu8N3wUu/r77Pvle9670/u/e5t7abs5Oxy7GXsieyd7InsX+wz7AXrzuuM60rrDurb6q7qgepO6h3p+end6bvpiulV6Sbo8+iu6Ffn9+eO5xLmi+Yi5gPmNuab5v7nMOcX5sHmWuYL5dflpuV65Xblp+XZ5b/lTeTR5KHkxuUC5RvlDeTy5NrkxOSs5JXkfeRk5E/kRuRJ5FDkWeRn5HnkhOR/5GvkTOQl5ALkAeQz5IDkvOTW5PDlKuV65bbl0uXt5ijmdeam5qLmgOZj5lrmV+ZR5kjmPuYj5evlneVa5UHlVOV75Z7lt+XU5gDmOuZ45rHm2+by5vznCucz54Dn4Og46Hfomeiq6Lro0uj36S/pf+nr6mfq4etQ68DsPuy27Pfs5uyf7GTsY+yg7Q3tm+4w7qXu4u767xvvX++68A7wTfB68J7wwvDu8STxWvGL8cTyFfJ18sDy5PL18xnzXfOu8/X0KvRW9IH0qfTK9OX0/fUc9Ur1ifXa9jv2n/bz9yn3Svdy97T4Cfhk+MX5M/mq+hX6Zfqk+uj7P/un/BP8efzQ/Rf9VP2V/en+VP7L/zz/m//vAEoArQEIAU0BhwHNAiMCeALCAxUDgwP+BGUEsgT+BWYF4gZaBsQHLQeXB/YIOghvCKQI2Aj2CPkJAglMCfEK1gu2DFQMlgyCDDEL0gucC60L9gxIDIcMuwz3DTgNag2HDaQN0A4DDioOQA5VDnIOlQ6zDsoO3Q7sDvoPCQ8cDy4PPg9MD1oPZA9mD2IPZQ9xD34Piw+bD7EPxQ/QD9cP6BACEBcQJRA2EFQQcxCDEI4QrxDvETkRcRGUEbMR2RH/EhwSNRJUEnoSoxLFEtoS5BLsEv0THBM8E00TSRM7EzUTORM7EzQTMBNDE3UTrhPKE7oTlxN/E3oTbRM9Eu0SkBIuEboRIRBiD4oOqg3PDQ8MjAxmDJ4NGg24Dl4O7Q80Dw4Opw5sDqYPJA9rDz0O2Q6fDqIOpQ56DjoOEQ4ADeUNrg1qDSgM5QyXDEcMBgvZC7ALdgspCt4KrAqOCmsKOQobCi0KUgpECeEJVgjqCLQIowipCMkI7AjfCI8IIwfXB74Hzwf+CDMIOQfrB24HEAbpBscGjAZyBsAHUAedB1QGqwYWBdIF0gX+BkMGhAaYBm8GHQW8BVcE+AS2BJgEhARgBDkEKwQtBA4DvgN0A3YDvAPpA7QDNwLXAtgDHwNXA0cDAgLCAq4CtwLBArsCsAKnAp4CkwKOApQCnQKVAnoCWAJAAjICJwIbAhQCFwIbAhcCCQH/AgECCAIEAfQB6AHuAgECEQIUAg8CCAIBAfwCAAITAjMCUwJsAnkCdwJuAmwChAK1AvIDLANXA24DawNXA0MDQANPA2wDmAPJA+IDyQOMA2MDegPEBAwEKwQdA/YDwwOTA3YDcQN1A3EDYANPA0YDQwNBAz8DPgM9AzoDNgMwAygDIwMjAyUDHgMMAvcC6wLsAvIC+gMBAwcDCwMIAwAC9wLyAvEC7gLiAtECyQLPAtECvAKXAnkCXgIyAiMCvARhBrMIigjUB2wFFALAAPv/4v9X/yz/JP8V/vv+5/7c/sf+of5z/kj+Hf3t/b79lv1y/U79Lf0T/Pv83Py4/Jn8ffxg/D38G/v8+9v7tPuK+177L/r9+s76pPp8+lH6J/oB+dr5r/mE+WD5PvkT+Nz4pfh0+Ej4G/fv98f3oPd19033LfcS9vD2yfak9oP2XvY09gr14/W69Yv1WfUq9QD01fSm9Hb0RvQV8+XzuPOL81fzHfLk8rTyjPJn8kPyIvH/8dnxsvGM8WbxPfET8PDw0vCy8IvwY/BB8CbwDe/x79PvsO+J72TvRe8s7xfvAu7s7tjuxO6y7qDuie5p7kfuKe4R7f7t7e3e7dLtxu237ajtn+2Y7ZDthe1+7X7tg+2J7Y/tl+2h7avtte3B7dDt4u317gbuGO4s7kTuXu567pruvu7j7wXvJu9J73Dvl++87+bwGPBL8Hbwn/DQ8QnxPvFm8Y3xwfIB8j/ya/KL8qry1fMM80PzbPOF85nzvPP09DT0b/Sg9Mn05fTr9Nz0w/S19M/1MvXm9sj3nPg4+KD48vk/+X35nvmy+dj6KPqb+xX7efu6+9379Pwb/HD89/2J/fP+J/5K/nn+of6f/oL+jP7Q/v7+o/2o/HX7jPsb+u76vvpw+hf51fnE+ej6Kfpm+o36q/rW+xH7R/tm+3D7d/uH+6H7v/vd+/v8Gfw6/GT8lfzC/OD88/0O/Tj9Wf1I/On8SvuX+wH6qvqY+rX62frn+tn6uvqQ+l/6N/os+j36UPpL+i/6Cfnf+a/5jvmS+bX5y/mn+Ur42vh5+C/39ffI96D3cPcz9u/2rvZ29kL2D/XX9ZX1RPTx9LP0k/SG9HX0WPRC9E/0hfTN9Qf1I/Uq9Sf1IPUa9R31KvUu9Rv09/TR9J30NvOI8qzxx/Dp8A3vK+4z7QbrkOoG6MnoB+eD5uTmIeWH5U/lWuVx5ZDl5OZ+5zTn1ehP6KLoxuiu6GLn/uei52TnV+eD5+focukP6a3qQerE6z3rt+wv7Jbs4+0h7V/tk+2p7ZXtbe1R7U3tWO1k7XbtmO3L7gruTe6U7t7vIu9T73Lvi++s79Hv7/AE8BvwPvBn8I/wt/Dm8RrxS/F18aPx4PIr8nfyvPL78zvzgfPO9CD0cfS69Pv1P/WO9e32Tval9ur3Jfdg95/32fgC+Bz4N/he+JD4wvjt+RX5P/lr+ZX5v/np+hb6Qfpu+p36zfr5+yL7TPt8+6774PwO/D38b/yk/Nv9Ev1O/Y/91f4c/mL+pv7r/zT/gP/OACAAeADWATIBhwHYAi0CiQLkAzkDiAPYBCkEdQS8BP8FQQWBBbwF7AYSBjIGUwZ2BpwGvAbWBu8HDQcxB1kHggerB9kICwg7CGkIlQi/COQJAQkZCS4JRAldCXcJjwmpCc0J+worClAKYgpnCmgKZwpgClUKSgpBCjcKLwotCjEKMwoyCjIKNwo6CjQKOQprCtYLXwvZDDMMfgzKDQ4NNg1HDVkNgA2rDbwNoA1iDRgM0AySDGEMRAw7DD8MQQw4DCgMFgwHC/ILzwugC24LRwssCxcK/grkCswKtwqgCocKdgptCmcKWwpLCj0KMgolChwKJApAClsKYwpbClcKXwprCncKjQqvCtQK8QsQC0ALeQuoC8wL9gwjDAwL2guuC7AL2gv9C/sL4wvKC60LdQsjCs0KiwpbCjUKFwoBCe8J2gnECa4JlQl5CWAJVQlQCTsJFwj/CRIJUwmuChMKgQrnCyILGwrgCpYKWAomCfYJxwmhCYQJZAkzCO0InwhaCCoICgfpB7oHfgdBBxEG9wb0Bv8HCwcLBv0G6gbgBuQG8Ab3Bu4G1Aa0Bp0GjgZ8BlsGJwXmBZ0FUQUMBNUErgSRBHsEawRkBGIEYgRkBGoEdwSNBKsEywTmBPYE/QT+BPQE3QTDBLgEwATUBOgE9wT6BOQEswR1BEAEHQQDA+QDvQOSA2gDQgMnAxkDEAMHAwAC/AL3Au0C3gLPAr8CqwKUAoECcgJeAkACHQH/Ae0B5wHpAfEB+wIJAh8COQJEAigB3wGAAScA4wC1AJYAgABvAGAAVwBIACL/5/+8/8P/3v/L/3v/Rf+QAE0A8wECAIj/7/+D/y7+v/4v/Z79G/yX/An7g/sQ+qf6OfnJ+WX5Dfiy+En31vdk9vX2ivYm9c31hPVH9RH01fSL9Dvz+vPU88DzqPOK83DzY/NU8y7y6vKY8kzyE/Hv8d3x1vHR8cXxsfGe8Z7xu/Ht8iHySvJj8nDyb/JV8hbxq/Ec8H3v8e+W73Hvae9Z7yDuqO3v7R3seew17EXsa+x07FzsOuwS69zrmOtT6xfq4eqn6mvqL+nz6bnph+lc6TLpBujc6LjokOhW6Aznu+dj5vjmeOX+5bDlpeXZ5i/mfOaX5nTmMOXy5b/lg+VD5SXlP+Vm5U/k6uR75FDkcOSg5LDkouSO5H/kb+Rc5EnkNuQf5Anj++P24/bj/OQK5B3kKOQn5BzkBePe467jl+O14/3kSOR+5K/k6eUh5ULlXeWe5gnmbeaM5mLmIeX55e/l6eXY5cDlouVz5Srk2eSk5Kfk2+Uh5VvlgeWd5b7l7eYo5mfml+au5rjm0OcN52vn0Ogl6GHoheiW6Jzoo+i36NrpFOls6eTqbOrx63nsEeyp7QjtBey97H/sh+zP7TTto+4Z7obu1O8C7y7vc+/M8B3wWPCA8KLwyPD28SrxWvGG8b/yF/KA8tHy7vLp8vPzJ/N789D0D/Q59Fj0e/So9N31EvVF9X31v/YQ9mv2x/cV90v3cfef9+b4RPin+Qn5cPne+kP6kvrS+xv7evvp/Fn8vP0O/Uz9f/23/gv+f/8A/2//wwANAGIAxAEdAWMBowHwAkoCogL1A04DsgQaBHkE0wU5BbEGMwaxByYHkwf0CD8IdAieCMsI+wkkCUwJlAojCvMLyQxjDLEMygy8DIAMHgvPC80MGwx/DMkM/g04DXkNrA3MDewOGA5BDlsObQ6JDrIO2A7xDwIPFg8sDzwPRg9PD1sPaQ93D4IPiA+ID4cPiw+UD54Pqw+8D9EP4Q/qD/UQCRAhEDIQQBBXEHUQjRCXEKYQ0hEXEVoRhxGnEcwR9xIbEjMSSBJmEosSshLUEu4S/RMDEw4TJRNDE1kTXBNSE0cTQhNBE0ATQRNTE38TuRPhE90TuhObE5QTkRNvEyMSwBJWEd0RQBB/D7UO+g5KDZUM5gxyDHAM4g2PDjYOsA70DwAO5Q7PDuIPEw8rDwcOwg6NDnUOZg5PDjgOJw4LDdQNiw1JDRgM6QyzDHwMTQwmC/sLvwt1CycK5gqyCnwKOwoDCe4J8wnlCagJUQkHCNwIwgizCK0IpAiFCFkIPAg2CCgIAQffB+IH8wfdB58HbQdbBz0G9ga/BugHWgehB2sG2QZNBf8F7AYEBjoGbgZ7BlUGEgXIBXkFKgTvBNAEuASSBG0EYwRlBEgECAPjBA0EZASGBDgDqQM7AyUDRQNaA0IDFALzAusC7QLoAt4C1gLOAr8CqwKcApsCngKWAn4CXgJFAjcCLwIqAikCKQImAh0CEQIPAhsCKQIrAhsCCAH/AgICCwIUAhgCFgISAhQCJQJAAlkCawJ8ApECoQKmAqoCxAL7AzwDbQOEA4IDbwNUAzwDMgM6A1YDgwO3A9gD0gOxA5sDqgPSA/QD+APhA78DnQOHA4IDhgOFA3YDYgNTA0kDQAM3AzIDLgMnAx4DGQMZAxcDEgMRAxIDCwL3At8C0QLSAtgC3ALhAugC7wL0AvMC8ALsAugC4gLbAtgC4gL0AvYC1wKpAo4CggJkAkYCkQOfBSgGSAYyBOcDEwFzAFX/sf9l/0v/Pf8l/wj+9v7s/tX+rP5//lf+LP35/cj9oP19/Vr9Ov0i/Qz87vzL/Kv8kPxz/FH8MPwR+/D7yfuf+3X7RvsU+uP6uPqP+mP6OvoU+e/5xPmY+XL5T/ki+Or4sviD+Fr4L/gE99r3sPeE91v3Ofcb9vj20vaw9pD2bfZD9hr19vXR9aP1cfVB9RP04fSs9Hn0SvQc8+3zv/OR82DzK/L28sfynPJ08k/yLfIJ8eDxt/GP8WjxP/EX8PTw1fCz8I3wafBN8DXwG+/9793vuu+W73PvVO877yXvEe7+7uvu2+7M7rzupO6C7l7uQe4r7hbuA+3z7ejt3O3O7cHttu2q7Zvti+2B7X/tge2H7ZHtne2n7bDtuu3I7dft5e3z7gXuGu4v7kTuW+547pnuve7f7wDvIu9J73Lvme+97+XwGPBP8IDwq/Db8RLxR/Fy8Zzx1fIa8lfyffKS8qzy2fMU81Dzf/Of87XzzvP09Cj0avSv9On1EfUm9S71KPUW9Q/1OvWu9ln3Cfeb+BL4gfjs+Ur5kPnD+fP6MvqH+u/7V/ui+8T7zfvt/Ez84P1t/bX9vf3E/ff+OP5Q/kT+V/6h/tD+df15/EX7W/ry+u37Dfsg+wj6yfqK+nP6jfq5+tv6+Psk+1z7iPuW+5P7l/ut+9L79/wW/Cz8Qvxg/I38wfzt/Qn9Hf05/V79c/1Z/P78bPvD+y/63frb+wn7LPse+un6sfqN+nv6f/qg+tT69frl+q76avon+eT5sfmv+dv6Bfny+Zz5LvjR+JD4Xfgq9+33oPdL9wP20vat9n72QPYE9dL1q/WR9Yz1mfWi9Y71Y/VB9UL1YPV59Xj1YfVE9Sj1EvUL9SH1SvVk9Vn1NfUV9Pj0uPQ484XyxfIN8Vzwou/J7rntc+wq6x7qXumy6OjoIuew57Dn5+gR6DHofekL6brqV+rE6vLqzepS6afpBuiS6ELn/OfA56bnxegc6JTpFumW6hvqq+tC687sQeyb7OjtJ+1O7VTtRO047T/tVe1r7X7tmu3J7gruT+6R7tPvFO9J72zvh++n78zv7PAA8BLwL/BX8IPwrfDa8QrxOPFh8YzxxPIJ8lLyl/LV8xPzVvOg8/D0P/SK9ND1G/Vw9dD2L/aB9sL2+fcy93H3qvfS9+34CPgw+GH4kfi7+OH5CPkx+Vv5h/m2+eX6Evo/+m76nPrH+vH7H/tR+4T7tvvm/Bf8S/yC/Lr89P0x/XH9tf37/kL+iv7S/xz/Zv+zAAUAYAC8ARQBZwG5AhICbwLIAxsDagO4BAYETwSTBNQFFAVSBYsFuwXjBgcGKwZSBnoGnwa+BtwG/QckB00HdgehB9AIBAg6CG4InQjICO0JCQkfCTIJSQlnCYgJpwnECeQKCQoyClQKawp4Cn8Kfgp3CmwKYQpVCkYKOgo2CjsKQAo/Cj0KPwo7CisKIwpHCqsLOQvHDD0MnQzrDR8NLw0uDT4NbQ2oDcgNtg15DSkM1gyLDFMMNQwxDDsMPgwzDBwMAQvrC9QLtwuSC2sLTAs1CyELCgrvCtgKxAqvCpoKhwp8CnQKaQpYCkQKLQoZChIKIQo/ClcKWwpUClgKagp+Co4KoAq8Ct4LAAslC1QLhwu1C90MAwwbC9wLqAuJC5cLvgvTC8YLqQuMC2oLMgrlCpQKTgoVCesJ0QnDCbcJqAmaCY0JeglcCT8JMwkvCSMJDQkCCRoJVQmmCgcKdArZCxQLEArhCqYKbAorCeIJpAmDCXgJZQk0COIIhwg6CAkH6gfKB5kHXAcgBvEG1AbGBsUGygbJBrwGpwaYBpUGmwabBosGbAZFBiIGCAXwBdUFsgWHBVgFJgT2BMkEoAR/BGsEZARjBF8EUwRHBEYEVwR2BJsEuwTRBN4E5QTmBNwEyAS0BK0EtgTFBNAE1ATMBK4EeQQ+BBAD8wPaA7oDkQNnA0EDIwMPAwIC+QLvAugC4wLaAswCvQKyAqkCmQKAAmUCTQI2Ah8CCgH3AekB4AHfAeIB4wHjAfECDwIqAh8B4AGAASMA3ACtAIgAYQA4ABkAFAAcAA3/1/+d/5D/qf+r/3T/Q/95ABsAvADoAJQAF/+1/2P+9v5o/dT9Sfy6/CL7kfsW+qr6PvnS+XP5IPjL+Gf39/eD9xT2qfZG9ev1nfVg9S/0/vS99HL0MvQO8/zz5fPI87Pzr/Oq84XzMvLG8mDyGfH48fXx+PHx8d3xxfG28bjx0/IC8jDySfJK8j7yMPIT8c3xVvC68Bzvn+9W7z7vOu8c7r3uD+0y7Gjr9evq7BfsO+w67CbsEevx67frbOsn6vLqu+p26irp5Omm6WfpJ+jp6LDoe+hQ6DHoFefu57fndecs5tLmYuXp5YDlP+U25WPlsOXz5grl+eXT5aHlXOUN5Njk0uTX5LHkWeQJ4/fkGuQ85DvkJuQW5A/kBeP54/Hj7OPi49LjwOOy46jjo+Oq47rjyOPL48fju+Od427jSeNN43/jxeQI5EPkdOSS5Kbk2OVK5d/mRuZG5fjlpeV75W3lWOUu5PrkxOSJ5ErkHOQa5Evkm+To5R/lQOVY5XblouXg5iPmVuZu5nvmoObu51nnv+gQ6EvoeOiS6JvooOit6MLo4+kc6Xzp/uqO6y3r5Oyh7STtNezs7KXsqOzx7U3tpO4C7mruxu8H7zvvf+/X8CnwYfCB8Jvwv/Dw8SnxXPGJ8cTyG/KD8tLy6fLb8tfzAfNO857z1PPv9AL0JfRo9MP1I/V69cj2FfZk9rH2+vc893P3offW+CL4gfjk+UP5ovoI+mv6v/sG+1P7tPwj/JH88f09/XP9m/3M/iD+mP8W/3n/wQAJAGQAygEkAW8BugIRAm8CzQMtA44D7ARHBKYFFQWRBhIGkQcPB4kH8Qg/CHoIqwjXCQEJMQl3CeYKjQtmDD8M2A0WDSMNNg1HDRoMmwwWC+8MNwyoDP8NOQ13DbsN8A4SDjQOXw6EDpoOrw7TDv0PGg8kDzAPSA9kD3YPfg+ED48Pmg+gD6EPow+nD64Ptg+7D8IPzQ/eD/EQARAOEB4QMhBEEFIQZRCBEJ4QrhC1EMsQ/xFCEXwRohHDEeoSEBIsEkESWBJ4EpoSvhLkEwUTGRMfEyMTMxNOE2MTaxNlE1oTThNHE0UTRxNWE3sTtBPnE/UT3BO8E7MTshOXE1ES8xKOEhIRYxCHD7IPDg6MDfINLAx9DEsMvA2ODlQOzg8JDyYPNQ81DysPIg8WDvwO0w6kDngOUg41DiEOCQ3dDZ4NZQ1BDScNAQzNDKAMgQxlDDcL9wuvC2kLKgrzCrkKdwoxCfkJ1AmxCX4JQAkNCOsI1gjFCLMIlQhrCE0IVAhxCG0INAfyB9wH6wfrB80HsgesB5AHQwbzBuwHLgdmB00G8gaSBlEGLgYnBjkGUAZQBi8GAAXSBZ4FZQU1BRQE8QTBBJUEhgSMBIYEdASABMMFDwUWBLoELAO2A3YDXANLAz0DOQM+A0ADNgMkAxUDDQMGAvQC2gLBArICqQKcAogCcAJeAlUCUQJNAkUCOgIuAiMCHQIiAjQCSQJVAlMCRAIyAiMCHAIfAicCKwItAjgCUgJwAoMCigKZAroC4AL3AwUDHwNPA4ADmgOWA4EDaANQAzsDMAM2A04DdAOaA7IDuAO0A7QDuQO2A6UDjgN+A3kDgAOTA6sDtwOoA4cDawNfA1YDRgMyAyQDHAMQAwMC/gMDAwYDAQL8AvoC9ALkAs4CwAK+AsACwwLJAtIC2wLgAuMC5ALlAuQC4gLhAuYC9gMJAwkC6AK5Ap0CkgJ3AkgCSQK+A34D9gOpAqsBgACVAAP/r/+A/2j/Uv81/xn/Cf76/tz+sf6I/mX+PP4J/df9s/2T/XD9Tv00/R38//zb/Lv8ofyF/Gb8Rvwo/Ab73vu2+4/7ZPsz+wD60vql+nb6Sfoi+f751vmq+YL5W/ks+Pb4wfiV+G74Rvgc9/P3x/eZ92z3SPcn9wP23fa79p32evZR9ir2B/Xh9bT1g/VU9SX07vS09H/0UvQp8/zzy/Oa82jzNfMF8tjyrPKD8l3yOfIT8efxuvGQ8WnxQ/Ee8P7w3vC68JfwefBi8EvwLvAM7+rvye+p74rvbO9Q7zjvI+8R7v/u7+7h7tPuu+6Y7nTuWO5D7i/uGe4H7fnt7e3f7dPtyO257aPtj+2D7X/tf+2F7ZPtpO2u7bTtvu3P7eDt7O357g7uKe5A7lLuZO5+7p3uve7c7vzvIu9P733vpe/G7+nwGPBP8ILwrvDe8RbxTvF/8a3x5fIl8lzyfPKQ8q3y3PMX81LzhfOx89bz8fQI9Cj0X/Sp9PP1LPVX9Xv1l/Wf9Zj1nvXK9hz2gPbv93D4Bfii+Tb5tPoY+lv6hfqv+u/7RPuN+7D7ufva/Dn8wf0q/Tz9Ev0A/Tv9nv3m/gj+Mf5x/oj+Jv1H/Dv7YPrm+tf7IvuR+9L7sftP+vf62vrq+wf7K/tc+5L7tfu5+6/7tPvS/AP8NPxV/GP8bPyE/LT87f0Z/S/9Ov1I/Vb9Uv0w/Of8evvy+2/7IPsd+0f7W/sw+uD6pPqY+q361/sU+1r7hPt2+z76//rF+oT6Q/ok+jP6TPo6+fP5n/lh+T75IPjz+Kz4Tffv97T3pveq95r3afcq9uv2sPZ+9mX2Z/Zv9l/2OPYS9f318/Xh9cT1q/Wf9Zv1l/WX9aD1q/Wk9YL1UfUj9Pb0tPRL88HzKPKM8fPxYfDO8CDvR+5X7XnsvOwN613q1eqs6uXrPOtx64LroOvp7E7squzf7NTsc+vK6xXqmepc6iHpo+jl6C7nxOe25+boNOiX6Rbpsupg6w7rquwl7H3svOzs7RDtJu027UztbO2M7aTtve3n7iLuX+6U7sjvAu8772jvi++v79jv+vAL8BXwKPBL8HjwpfDR8P3xKvFX8Ybxu/H48jryfPK68vfzNvN688P0DfRZ9Kj0/PVU9az2AvZQ9pP2zfcF9zz3cPea97z33/gJ+Db4Y/iN+Lb43/kG+S35V/mC+a752/oK+jn6Z/qT+sH69Psq+177j/u++/D8Jfxc/JX8z/0M/Uz9kP3W/h/+a/63/wL/TP+Y/+wARwCiAPcBSAGcAfUCUAKmAvkDSAOVA94EJQRqBK0E7AUoBV4FjwW7BeQGDQY3BmAGhgaqBs4G8gcZB0IHbAeYB8gH/AgzCGoInwjNCPMJEQknCTkJTglpCYsJrwnSCfQKFQo1ClAKZgp5CoYKiwqHCn0KcApiClEKQgo8Cj4KQQpBCkEKQQo7CisKIgpACpcLHAuxDD8Mtw0JDSgNGg0EDQwNQA2HDbgNtw2GDTYM2AyBDEEMJQwoDDkMQAwyDBML8AvQC7QLmAt7C10LRAsxCyILEAr6CuQK0QrACq8KnwqRCoUKdwpjCkgKLQoaChsKMApNCl4KXQpXClwKbgqECpYKpwq+CuELDgtAC28LlAuzC9IL8Qv6C6ULeQtmC3ULjQuPC3kLWws8CxcK4wqkCl4KFwnWCaoJlwmSCYsJfQlxCWgJWAk7CR0JDwkOCQ0JBgkGCR0JTwmXCfYKXwq2Ct0K0wqzCpEKZQocCcEJeAlaCVsJVAkoCNcIeggsB/sH2we5B4UHRgcOBuUGyAavBpoGjAaDBnYGZwZaBlUGUwZMBjcGFQXqBb8FmgV/BWkFUwU5BR8FBgToBMMEmARzBGAEXgRfBFcERgQ2BDcESwRsBI8EqwTABNAE3gTjBNkEwwStBKMEpgSqBKkEogSUBHcESQQVA+sDzwO3A5sDdgNOAykDDwMBAvgC7QLgAtQCygK8AqcClAKMAowChgJxAlACKwILAfYB7AHlAd0B1AHQAc4BxgG7AcAB3QH/Af8ByQFtAQ4AxQCVAG0APAAC/9T/zP/i/+z/yf+N/2r/cf96/2P/Sf9x/+wAdACxAI8AQP/x/5v/JP6O/fT9ZfzX/EH7rfsq+rb6SPnf+YH5MPjc+Hv4D/ef9zH2x/Zj9gj1uPV59Un1HfTm9KT0bvRR9EX0MfQV9ADz/PP088nzbvL18oPyNfIW8hbyGPIM8fnx6vHl8ejx+fIc8kTyVfJH8inyCvHc8YTw+fBY78fvYe8r7xjvCO7J7jbtVexk67frf+um6+Tr/+v06+Lr1eu864TrO+r86szqlOpJ6fnptul86Tzo7uiY6ELn8+e255Pnhed151XnIubh5pPmNeXM5WPlCOTO5MXk8uU75XrllOWI5VvlF+TO5JjkeuRY5BPjueOB44rjuuPX48zjr+Oc45LjiOOA44TjkuOZ45PjhON042PjVeNV42LjceN243LjaeNV4zPjEOMD4xnjR+N746rjzOPi5AbkYOT75Z7l8eXU5XflJ+UD5O3kv+Rz5B/j0uOW43Xjf+O85BnkcuSx5NXk7+UM5TPlZeWj5eTmGeY45lHmhObe507ntOgD6EHodeia6Kvos+i86Mjo1uj36T/psOo66tvroex47R3tSe0I7Lnssuz37VPtpe357l7uwe8I7zzvfO/S8CjwYfB+8JTwt/Dt8SvxZPGY8dXyKPKH8s7y6PLl8uvzEPNK84DznvOn87Tz3vQ19K31LvWn9hP2c/bC9v/3M/do96D31vgR+Fz4uPkZ+XT5zvor+or64Psu+4L75PxS/Lz9F/1d/Yn9p/3T/iT+lP8D/1n/of/4AGMA0AEsAX4B2QI9AqEDBgNvA9gENwSQBPkFdwX8BnQG5wdhB9kINQhzCKoI5wkfCUgJfgntCq4LsQzADZEN7w3pDdMN6A4BDb0NBwxNDA8MWwzTDSsNZw2wDgIOPQ5cDnoOow7HDuAO+Q8dDz4PSw9ND1wPfQ+eD64PtA+7D8YPzA/ID8EPwg/MD9oP5A/pD/EP/hAPEB4QKxA5EEsQWhBlEHQQjRCsEMMQzhDbEP4RNxFzEaERxBHoEg0SKhI+ElMScBKREq8S0BL3ExsTLBMtEzATQxNeE3ITehN5E3MTZxNbE1QTVBNeE30TtRPyFA4T/hPeE84TyhOwE28THRLJElURmhChD7IPDg6nDicNXgyLDC8Mkw17DmMO8Q8wD1MPcA94D2UPTQ9ED0IPLw7/DrwOew5IDiEN9A26DX8NWA1LDT4NGgzkDLgMoQyKDF0MGwvVC5YLXgspCvYKvgp/Cj4KAgnJCY8JVgkoCQwI/Qj2COoIzAidCHUIbwiECIgIYggtCBMIEQgFB+YH0AfRB8IHhQc1BxAHJwdJB0QHGwbqBr4GlQZ3BmwGbwZoBk4GKgYDBdgFqQWABV0FMATyBLgEmwSfBLQE2gUaBWgFlAV0BQ4EkAQjA84DjwNsA2sDggOWA5QDfgNmA1kDUQNFAywDCgLoAs4CvQKvAqECkgKJAocChwJ/AmwCUwJAAjYCNwI+AkwCXgJvAnoCeQJrAlQCQAI3AjsCQwJLAl4CfgKhArYCwQLYAwYDOANYA2cDeQOWA6sDpwONA28DXANQA0cDQgNLA18DdAN8A3gDdwOIA6UDswOjA4EDZwNlA3EDgwOfA78D0AO+A5UDdQNqA2MDTwM0AyEDFQMHAvYC7wL1AvoC9wLvAuoC5ALWAsICswKrAqoCrAK3AscC1ALYAtcC1QLWAtgC2wLgAucC8gL+Av4C6ALCAqICjAJqAjECBAIOAj8CSgH1AVYAtwBF//r/wf+X/33/Z/9L/zD/G/8F/uH+tv6R/nL+Sv4X/en9yf2t/Yr9Zf1J/TD9EPzs/M38tPyZ/Hv8Xfw//Bz79PvN+6n7gvtS+x/67vq++oz6XPoz+g/56fm++ZP5aPk3+QL40fio+IL4Wvgy+Av34Pev93/3Vvcy9w326PbG9qf2hfZe9jj2FPXt9b/1kPVk9TX0/fTA9Iv0YvQ89BLz4vOu83nzRfMU8ufyvPKT8m7ySvIh8fLxwvGX8W/xS/Ep8Qrw6/DI8KjwjvB58GHwQPAb7/nv2+++76Hvg+9l70vvNu8k7xHu/u7v7uHuyu6p7obua+5W7j/uJu4S7gPt9u3o7d3t0+3D7avtlu2L7Yfthe2K7Zrtre247bztxe3Z7e3t+e4H7h/uP+5Y7mjueO6P7qnuw+7e7wDvLO9f74/vt+/V7/TwHvBQ8IHwrfDd8RfxVPGJ8bjx6vIh8lDycfKN8rPy5fMa80vzevOu8+P0CvQg9DP0WfSa9On1MfVv9a316PYU9ir2L/Yx9jj2S/aA9uj3gfg1+O/5ofo4+pn6wPrP+vL7Nft9+6v7w/vt/EH8qvzr/N/8q/yc/Nr9RP2g/eH+H/5W/lD95f0p/FX7k/r8+sH7B/ul/Cf8K/u/+0P7Avr8+xT7O/tu+6L7wvvJ+8n71fv4/C78ZvyL/Jb8lvyp/Nv9F/1B/VP9Wf1Y/Ur9JPzr/Kr8X/wB+537WPtQ+2v7b/s7+u/6xPrN+vL7HftP+4X7pfub+3z7avtm+037Fvrd+sL6uPqa+lz6Gfnq+c/5tfmL+Un49Pio+In4pvjj+RD5Fvj0+K34Q/fI91/3H/b/9uX2wvab9nn2XPZI9kT2UPZj9mz2Y/ZK9iH18fXD9Z71ePU59M70Q/O480Dyz/JR8cjxUfD68KjwLu+A7sPuJO207W3tVO137dDuLu5e7lHuKe4N7gfuDO4A7crtXezS7GvsWex+7G7r0Oq26Yvor+gy5+7n0Ofr6FHo8emt6nHrLevJ7DLsceyj7NntDe007VXtee2f7b7t2u4C7jbuaO6Q7rbu6O8j71nvhu+z7+LwCPAb8CDwK/BH8HPwofDM8PPxHfFM8YDxtPHr8ibyZPKk8uXzJvNo86rz7PQ29Ir04/U39YT1zvYZ9mT2p/bd9wv3Nfde94n3uPfm+BL4O/hk+I74uPjf+QP5J/lL+XP5n/nS+gT6NPpi+pT6yvsC+zT7ZPuU+8f7/Pwz/Gr8o/zg/SH9aP2x/fz+Sf6X/uX/MP9+/9IALACFANcBJwF7AdECJwJ8As8DIANsA7MD+gRBBIYExwUCBTkFbQWeBcwF+gYmBk8GdQadBsUG7QcUBz0HaQeYB8YH9AgoCGAImAjKCPMJFQkvCUUJWglxCYwJqgnOCfQKFwozCkUKVApmCnkKhwqLCoMKdQpkClMKRwpBCj8KPgo/CkMKRgpACjMKLwpLCpMLBQuYDDYMvg0ODRcM8gzRDNoNEw1iDaANsg2NDToMzQxlDB4MAwwNDCMMLAwbC/gLzwusC44LcwtaC0ILLQsdCxELBgr5CugK1wrJCr0KrwqgCpEKgAprClAKNwosCjYKTApiCmoKZwpjCmYKcQqBCpMKpQq+CuULHAtXC4ILlAubC60LxAvGC3QLTQs+C0cLTAs+CyELAQrfCrYKiwpfCisJ6gmnCXoJawlsCWYJVwlLCUIJNAkdCQcI+wj6CPwI/QkDCRcJQQmKCe8KWgqgCqsKjQprClUKNAnvCZEJRgkoCSoJJwkECMAIbwgpB/oH2we3B4IHQgcLBuYGyAakBnsGWAZABjIGJwYgBhwGFgYJBfEFzgWhBW0FQAUjBRUFCwT9BO4E4ATNBK8EigRpBFgEVQRUBEsEPgQ3BD8EVQRzBJEEqgTABNYE6ATwBOIExASlBJMEjQSJBIAEcgRiBEgEIgP1A8sDrAOYA4YDawNFAx4DBAL4AvIC5ALPArsCqgKVAnoCZAJfAmYCaQJaAjcCCwHkAc4BzAHQAc0BwQG0AagBmQGLAYwBpAHBAb8BiwE1ANsAmABsAEYAFv/X/6L/k/+o/8D/sv+C/1T/Rf9H/0H/Of9S/53//AA8AEkAMwAH/7r/Pv6e/f39bfzn/Fz7z/tJ+s/6XPny+Zf5RPju+I34I/e390725/aG9i714vWk9XX1T/Uj9PH0x/Sx9Kj0l/R79GH0UfQ69APzpPMt8r7yb/JK8kDyO/Ix8izyMfI28jLyMPJE8mbydPJc8izx+PG18UXwqPAE74LvMe8K7vru2u547bTsreu66zTrLetv667rvuus65jri+tx6z3q/urI6prqYuoa6dHplOle6Rzoxehe5+7ngOcn5vbm6+bs5t/mu+aG5kLl9OWd5UTk6uSX5F7kWOSG5M3lBOUR5PPkvuSL5GXkP+P945XjK+L44xLjUeN343DjU+M64ybjEeMF4w/jKOM840DjOeMu4yDjEOMK4xTjJeMp4x7jDuMA4u/i3OLP4tHi4uL84xfjM+NY457kGOS25T3lbuVF5PfkvOSb5HLkJuO+41Pi++LH4sfjBeNx4+PkOORk5H3knOTL5QLlOeVy5azl5OYT5kLmhObj51Hnt+gJ6E3oheiu6MTozejR6NPo2Ojt6STpfens6nbrLuwI7MDtCezh7J/snOzo7U7tqO387l3uvO8C7zTvcu/I8CHwX/B/8JjwvfD08TLxb/Gq8ezyO/KN8s3y8vMG8x/zQfNk83vzg/OJ85/z0/Qt9KX1LvW89kX2vvcV90v3cfec99H4CPhA+IX43fk/+Z759vpM+qL69PtH+6X8EPx+/OP9M/1q/Yz9p/3T/iL+iP7s/0H/mQAIAIMA8QFKAaQCDgKBAusDUAO6BCUEhwTpBV4F5QZgBsYHLAelCBoIawifCNwJKwlsCZUJ1ApqC2gMng3ADoUOyg6tDoYOhg52DfcNEAxMDCsMmQ0aDWQNmQ3rDkwOjQ6pDsIO6Q8PDykPPw9ZD2sPbw92D5EPug/YD+MP5w/xD/0P/g/2D+4P8A/8EAkQFBAeEC0QQBBOEFMQVxBhEHAQfBCGEJkQtxDUEOQQ7hEHETgRchGhEcMR5BILEi4SRhJZEnISkhKuEsYS5xMQEzATNhMvEzYTUxN0E4UTiROLE4wThBN1E2wTbBN3E5MTyhQLFCwUHhP6E+cT5BPOE5ITSRMCEpwR5RDiD+IPMA7GDksNfgySDBAMVA01DjAO3w89D3gPog+wD6YPqA/JD+4P5A+bDzAOyg59DkUOFQ3jDa4NgA1fDUINHQzwDMgMrgyUDG0MNQv4C70LhQtPCx0K7Qq5Cn8KRAoJCdAJngl3CV8JTwlFCTkJIgj3CMMInwiXCJcIhwhmCEgIMwgbB/4H7QfxB/AHyweNB10HUQdVB04HOAcdBv8G3Qa/BrAGsQavBp0GegZJBhMF4QW4BZQFZgUnBOgEvASxBMsFDwVuBb4FywWLBSMEwwR4BDID8QPHA8MD0wPZA8UDpwOQA4YDfQNpA0oDJgMFAusC2QLLArwCrgKnAq0CtgKyApsCegJiAlkCWQJaAlsCXgJoAnYCgAJ+AnACXAJPAk8CVgJhAnYCmgLEAucDBgMrA1wDhwOcA6ADpQOtA6kDkANtA1UDTgNRA1UDWwNpA3kDfQNtA1ADRANaA4cDpgOjA5MDkgOhA6cDmwOSA6IDuQO4A5sDfgNxA2kDVQM5AyQDGAMKAvgC7gLyAvoC+gL0Au4C5QLUAr4CrAKgApgClwKiArYCxwLMAskCxALAAsACxALMAtIC1ALWAtgC0QK6ApkCdgJNAhgB3gGyAZQBawEkAM0AfwBBAAj/0v+s/5f/hf9q/0r/Lf8P/uj+v/6e/n7+Vf4k/fz94P3F/aD9ev1c/UH9Ifz+/OD8xvyr/I38cfxU/DL8Cfvi+8D7mvtr+zf7BvrW+qT6c/pJ+iX5//nW+ar5fPlK+RX45fi8+JX4bPhE+B739ffF95L3Zfc+9xj29PbT9rT2kvZr9kb2IfX49cn1nPVx9UL1DPTT9KH0efRV9C30AfPQ85rzYfMs8vzy0fKp8oTyXvIz8gPx0vGl8X3xVvE08RXw9/DX8Ljwn/CI8G3wS/An8Abv5+/L77Dvk+9171rvRe807x/vCO7z7uPuze6w7pHueO5h7kbuK+4Y7gzuAO3x7ePt2O3J7bTtpO2e7Z3tmu2b7ajtue3D7cjt1e3s7gHuDO4Y7jDuUO5p7nvuje6j7rruzu7n7wrvOe9s75vvwu/h8AHwKfBY8IbwsvDh8RrxVvGL8bnx6PIY8kTyavKP8rzy8PMg80jzb/Oh89z0EPQw9EP0XvST9N/1LvV59cH2C/ZP9oT2pfat9p32g/Z/9qz3D/ed+Ev5DfnC+kH6f/qc+sz7IfuH+9v8GfxR/JH8z/zv/Oj81/zm/SD9Zv2j/d/+Kv5k/lH94v1D/KD7+ftN+tn66Ptv+/b8Dfu1+0b7B/r++xL7Nvtn+5T7sfvB+9P78vwe/FX8jvy2/MP8xvzd/Q79Qv1h/W79d/15/V79G/zE/HL8Lvvs+6r7fft4+4n7iPtj+zH7G/sl+zf7QftL+1f7VvtC+zj7V/uS+7T7n/tr+0H7KfsI+tH6jvpR+h/58/nL+Z/5a/k8+S75Vfmn+gD6QvpU+iT5rPkH+Gb36/eb92X3N/cH9tb2rPaa9qb2uva69pz2a/Yp9dX1fvVM9VL1YvUm9HXzg/K18j/x/fGu8UDw2PCZ8G3wGe+H7uLud+5o7pru3+8l73Xvwu/l77/vXe7y7qbue+5W7iDt0+2P7YTtzO417k3twuyv64Dqgump6M7oB+ej58/oZekj6erqtetv6/fsRex67LXs9e0m7UrtbO2R7bPt0+377ivuVu527pbuw+787zbvau+e79TwAPAX8CDwKfBC8Gvwl/C/8OHxB/E28Wzxo/HY8g3yR/KH8svzE/Nb857z3PQh9HL0zPUe9WL1ofXp9jr2hfa+9uT3A/co91j3j/fE9+/4FPg5+GH4iPit+NH49PkX+T75a/mh+df6Cfo4+mv6oPrV+wb7Nvto+5771fwM/EL8e/y4/P39SP2V/eD+LP55/sf/FP9j/7cAEABlALYBBQFWAakB/AJQAqUC9wNEA4sD1AQdBGMEowTgBRwFVAWHBbkF6gYXBkAGZwaRBr0G6AcRBzwHaweYB8EH6QgZCFIIjAjCCO8JEwkwCUwJaAmCCZgJqwnECeYKCQoiCi4KNgpEClkKcAp+Cn4KcApaCkkKQgpBCkAKPgpBCkkKUApMCkMKRwpjCp8LAguODDAMtwz2DOkMvAyiDLcM8w1BDYcNqA2ODTUMtgw8C+sLzQvVC+gL6wvXC7ILjQtvC1gLRAszCyYLGAsKCv0K9QrtCuIK0wrGCr0KtAqoCpsKjAp5CmMKUApMClgKaQp0CnYKdgp2CngKewqECpUKrArJCvILKgthC34LewtyC3wLkQuTC1ILLgscCxgLDArxCs8KrQqFClkKNgoaCfcJvgl/CVQJSAlHCUAJMwkoCSAJFQkHCPwI9wjzCO0I7AjyCQQJKwl3CecKWQqZCpAKWwopCgwJ7AmwCWAJGgj3CO0I4wjICJgIWwggB/QH2Ae4B4YHRAcIBt4GuwaRBl0GLwYQBf0F8wXtBekF4QXPBbQFkAVfBSME7QTOBMcExwTBBLUEqgSgBI0EcwRZBEoERgRGBEYESQRTBGMEeASRBKsEwwTZBO4E/gUBBOsEwwSbBIEEdwRwBGMEUgQ+BCYEAgPVA6cDhwN4A3IDYgNCAxwC/wLzAuoC1gK5Ap0ChgJsAlACOgI0AjoCPgIzAhYB7QHHAbEBrwG2AbUBpQGOAXgBZQFaAV8BcQF9AWgBKwDWAIcAUQAyABf/7/+4/4T/bf95/5D/kv92/0z/K/8d/xf/Ff8d/zj/Yv+Q/7n/1P/V/6T/Nv6d/f39bfzs/G377ftv+vX6f/oU+bf5ZPkJ+KL4NvfO92z3Dva29mX2HfXh9bf1nPWF9Wr1TPU49Sv1GPT69Nf0tPSJ9EXz5vN58xPyxvKc8ozyiPKJ8pTyofKe8oLyZvJp8oLyhvJe8hzx2vGL8RDwbO/K71PvD+7z7ufuwO5D7VnsOOtO6ujq/OtB63Lre+tr61brP+se6u/quuqJ6lnqIOne6ZvpYOko6Ofolegw57fnNebB5njmXOZZ5lXmQuYf5evlp+Va5Q/kxORw5Brj4ePh5BbkWeR/5HzkYeRI5DPkC+O14zPit+J84pfi3uMW4yLjEeL44tziu+Kj4qbivuLV4tzi2+LZ4tPixuK94sXi1uLa4sjisOKi4p3imeKT4pDileKh4rfi3eMf44Dj+uRw5LzkzOSs5H3kUeQh49jjdOMD4pniSOIl4kLioOMh45bj4uQK5CnkWeSZ5NrlEeVD5XrlueX85kPmk+by51vnwOgW6Fzok+i86NXo3+jf6Nno1+jn6Q7pSemR6ffqk+tg7B3sgOx/7GDsdezQ7UPtpe357lDup+7t7yXvae/E8CDwY/CK8KfwzfD/8TjxdPG38gHyT/KY8tTzAvMq81DzbvN+84LzifOe88Xz/vRK9Kv1I/W19lT25/dT95H3uPff+Az4OPhk+J748flW+bz6Gfpw+sH7Eftp+8/8Qvyw/Qf9Qf1m/YT9qP3j/jj+nf8D/2f/1QBTAM8BNAGKAeoCYALZA0IDoAQCBGgEzAU5BboGQQavBwYHaAflCFoIpgjbCSMJegm4Cd0KKgreC/MNKQ4+DvsPQg8lDusOwQ53DcMMzAwqDEwM7w18DbcN4A41Dp4O4g77DxUPPw9mD3sPhg+RD5YPmA+pD80P8hAFEAoQFBAnEDQQNBAtECoQLhA0EDsQRBBVEG0QghCKEIQQfxCEEJIQoBCuEMYQ5hD9EQYRFBE7EXURqRHJEd8R/hIlEkcSYRJ5EpYSsRLEEtsTARMvE0kTQxM3E0MTahOME5UTkBORE5UTkROFE34TghOQE60T5BQkFEUUMxQPFAIUCxQBE8wTghM6Et0SNhFCEEUPhg8DDm8NjQyLC+0MFgzpDe0OuQ89D5cP0w/rD/YQJBB+EMUQrxA2D5YPDg6xDnwOZA5UDiwN3A1+DTcNEwz6DNgMrwyLDG0MSwwdC+gLsAt7C0kLFgriCqwKeApIChwJ+gniCdAJugmeCYMJawlJCRYI4QjBCLYIqAiHCGEISghBCDoILwgoCB8IBwfaB6gHfwdjB0YHJQcHBvAG3gbSBs4G1AbZBtAGrgZ2BjgGAwXZBbQFiwVcBSsE/QTaBNsFEQVsBbEFrAViBQoE0QS1BJMEXwQrBA4EAQPwA9IDsAOZA40DgQNtA1MDOAMhAxADAQLwAtgCvgKxAroCzgLWAsQCowKJAn4CeQJwAmECVAJPAlMCXQJkAmMCXQJbAmECbQJ5AosCqQLVAwcDOgNrA5MDpgOiA5YDkAONA30DYANEAzoDPwNMA1kDaAN6A4cDiAN3A1sDSQNTA28DgwOFA4sDrAPVA9sDrgN5A20DiQOlA6IDjAN6A2wDWAM+AyoDHgMSAwMC+QL8AwQDBgMCAvkC6gLVAr0CrAKfApQCiwKNApkCqAKxArQCsgKsAqcCqQKyArcCsQKqAqoCrAKiAoMCWQIwAgUB0gGXAVoBHwDmALMAhABSABv/6f/M/73/qv+K/2L/Pf8Z/vH+y/6q/on+YP4z/hD99v3Z/bL9iv1r/U/9Lv0K/Oz80vy1/Jj8ffxk/ET8HPv1+9P7rft++0r7Gfrq+rr6i/ph+jz6F/nv+cb5mPlk+S74/fjT+Kr4f/hW+DD4Cffb96j3efdO9yf3A/bk9sb2o/Z89lX2L/YF9dj1rPWC9VX1IvTw9MP0m/R09Ez0JPP288DzgvNI8xTy6PK/8pnycfJF8hTx5fG68Y/xZPE+8R3xAPDi8MTwqfCO8HHwUPAv8BDv8O/T77nvoO+F72rvVO9A7yjvCu7w7truxe6r7pLufu5p7k3uMe4h7hruEO3+7evt3O3N7b7ttu237bvtue237bztx+3O7dXt5u4A7hXuH+4o7jzuV+5v7oTum+627szu3e707xfvQu9u75jvwO/l8AzwN/Bm8JPwvvDu8STxW/GO8b3x7PIc8kfybvKW8sby+fMp81HzdvOh89b0DfQ49FP0bfSb9OL1NfWF9c32EvZW9pr21/cC9w32+PbZ9sn22/cZ94z4LfjX+V/5ufoD+mv6/Puh/Dj8rvz9/Sr9Pv1D/Un9Yv2U/cf94f3s/hP+Zv6y/qv+Rv28/Tv8qvvy+0X6/fsq+3n7i/tb+yH7B/sI+xz7Qftz+5z7sPu/+978D/xI/IT8ufze/O78/f0h/VT9ef2C/YL9jv2a/YT9OvzN/GT8Evva+7f7qfuw+737uvuj+4b7dftu+2X7VvtI+zj7Gfrv+uD7DPtj+6j7tvuc+4T7e/ts+0L6/vqu+mL6KPoI+fz57vnT+bj5tfnX+hn6YfqN+nr6IPmX+Qj4jvgt9+H3ovdf9xH2w/aL9m32S/YJ9bH1X/UT9Lz0ZfRJ9Iv04vTJ8/7y0PHV8V3xPfEX8MHwXfAV79/vi+8D7nvuQO5y7t/vOe9o747vwu/g77fvR+7O7oLuZu5Z7kTuLO4n7k3upO8N7znu8e5J7YzszuvS6mvo4ufS55XoAeit6WfqMOsA663sHuxm7Kbs5O0X7T3tX+2C7aPtwu3p7hXuO+5X7nTune7R7wbvO+90767v3e/88A7wHfA18Fbwe/Cf8L/w5PEV8VDxjPHE8fjyLPJl8qXy7/M/84rzy/QL9Fj0sfUF9Ur1hvXJ9hf2Y/ad9sH22vb59yj3YveZ98T35vgJ+C74U/h3+J74x/jw+Rn5Sfl++bX55/oW+kb6efqq+tr7DPtD+3v7s/vr/CP8Xvye/Of9Nv2F/c/+F/5h/q3++f9G/5r/8QBHAJgA6AE4AYkB2QIrAn4C0AMdA2gDtAP+BEIEggTDBQQFQAVzBaMF1AYDBiwGUwZ9BqwG2gcHBzYHZAeOB7IH2AgKCEUIhQjDCPoJIgk7CU8JagmLCaUJtAm/CdMJ7woGChIKGQolCjcKTgpjCmwKZApOCjsKNgo7CkAKQQpGClAKWApYClcKZAqECrsLFQubDDUMqwzQDLEMhwyCDKQM2g0aDV4NjA18DR8MkwwNC7ILiAuDC4gLggtqC0oLLwsfCxYLDwsOCxELEAsECvQK5wrgCtcKyQq7CrMKrwqrCqQKmwqPCn4KbwprCnIKewp/CoAKhQqNCpIKkgqYCqwKxwrkCwYLLwtTC10LTQtBC08LagtuCzgLGAsCCvAK1QqwCowKaQo/ChQJ9QnfCcAJiwlSCTAJJgkkCRwJEwkOCQcI+wjyCPII9AjrCNsI0QjVCOcJDAlWCcQKNgp1CmsKLwnxCccJpAl0CTcI/AjPCLEImgiDCGQIOQgIB+AHxgetB4AHPQb3BsAGlAZoBjkGDwXyBd0FzgXEBb0FsAWZBXoFUgUdBNsEnQR6BHQEewR7BHYEdAR2BHMEYwRMBDoENAQ8BFAEawSHBJ0ErgTBBNcE7AT8BQgFDgUIBOsEvASPBHQEagRiBFMEPQQmBAwD6AO4A4cDZwNbA1oDUwM7AxoDAQLxAuACxAKhAoECZwJOAjMCHQITAhECDgICAe4B0gGzAZkBjQGMAYoBfQFnAU4BOwE1AT4BSAE+AQ8AvwBnACL//f/x/+j/z/+j/3T/WP9X/2f/cv9q/0r/IP7+/vD+7/7v/un+5f70/xn/Sv9q/1v/Dv6R/gH9dfzy/HX8AfuU+yX6sfpA+d75ifks+L/4Tvfo95D3P/bx9qj2YvYl9fz17vXy9fH14vXO9bv1o/WB9VX1IfTm9Jv0P/PZ83bzKvME8v/zCvMW8xvzD/Lm8qPybfJh8m3yXfId8cvxiPFB8NHwN++g7zLu9+7l7uXuv+4v7SPr7usN6r/q3esW6zfrPes06x7q++rR6qTqdupD6grpzumQ6VLpFejZ6JzoWegD55LnDOaJ5iPl5+XL5cHlvuWz5ZLlVuUK5MbkiuRD4+XjiONX42fjoOPW4/Hj9uP24+3jxONk4tviV+IS4iLiZuKp4sviz+LF4q7iieJl4lbiYOJv4nHibuJu4nDibeJp4m/ifeJ+4mniTeI84jniOuI54j7iTOJj4oTivOMT433j3OQW5CbkHeQN4/Pjw+Ny4wrin+I/4ezhs+Gn4dviSeLN4z3jh+O44+fkJeRq5Kvk4eUU5VDlmeXs5kPmnub8517nv+gW6Fvojeiy6M7o3ejc6NLozOjU6OnpA+kn6XLp/urB63/r+Owd7CTsU+y77TTtmu3q7jnuiO7P7xHvYu/H8CvwdPCf8L7w4PEJ8TnxdPG/8hPyZPKr8uXzGfNI827zhfOO85fzrvPY9A30Q/R69Lz1G/Wj9kr28Pdz98j3//gq+E74a/iK+Lv5CPlo+c/6NPqU+u/7R/uk/A78ffze/R/9QP1Y/X79vv4U/nr+5/9X/8wARgC/ASsBhQHdAkYCwAMzA5MD6QRFBKYFCwV+BgQGiQbxB0UHqwgqCJ0I6wksCYEJ2QoLCi0KigtODFsNdg53DzkPiw9lDw0OwQ5iDacMtwwwDHcNOQ3UDhEOPg6aDwYPRg9fD30Pqg/MD9QP0Q/PD84P0g/nEAcQHBAhECcQPxBcEGoQaBBnEG0QchBxEG8QdxCLEKQQthC5ELAQqhCvEL0QyxDdEPgRFREmES8RRRF1EbAR2hHuEf8SGxI/El8SfBKaErYSyBLVEvATIRNSE2UTVxNKE14TiBOkE6ETkRONE5MTkxOLE4gTjxOdE7oT8BQxFFMURBQjFB8UNRQ3FAgTvRNxExcSgxGqEL4P9w9SDpINjQx5C9UL/wzYDeMOuA9HD64P+RAhEEYQmBEQEVURGRBvD7UPLw7hDr4Owg7UDrQOPw2kDTwNJQ0pDQYMvwyBDGYMWAw7DAwL3AuzC4kLVQsZCt4KqgqACl0KRAo2CisKFAnsCcMJowmGCVoJJAj6COQIywihCHgIdAiQCKUIkwhoCEMIKwgPB98HpQdtBzoHCgbjBs8GywbLBskGyQbNBskGrgZ9BkgGHAX1BcwFpQWIBXAFSwUXBPIFAAU6BWkFXAUaBNoExgTQBMwEoQReBCUEBAPxA9oDvAOfA4kDegNtA18DUgNHAz4DMwMfAv8C2gLBAsMC1gLiAtYCugKiApgCkAKBAmwCWAJIAj8CPQJAAkQCSQJWAm8CjAKgAq0CvQLcAwsDQwN2A5EDjAN0A14DVgNSA0MDLgMiAyYDMgNAA1IDZwN6A4gDjwOPA4YDdQNnA18DUwNEA0oDfQPFA+cDwwN9A1cDawOVA6kDnAOGA3IDXwNJAzYDKQMeAxQDDgMQAxMDEAMFAvUC4ALJArQCpwKfApcCiwKEAoUCjAKUApsCnQKXAo8CjwKYAp4ClwKIAoIChgKDAmkCPgIUAfAByQGTAVUBGwDsAMUAmgBoADMACf/u/9r/wP+a/3H/Sf8i/vj+0v6x/pD+av5D/iP+CP3n/b79lv11/Vb9M/0P/PH81vy4/Jv8g/xt/FH8LfwH++P7vfuP+137Lfr++s/6ovp6+lX6L/oJ+eH5tfmB+Un5Fvjr+MH4lfhs+Eb4H/fz98L3k/dn9z33Gfb69t32vPaV9m32RfYc9fH1yPWf9XP1RPUY9O/0xfSY9Gr0QPQT89vzm/Ne8yjy+vLO8qXyfPJP8iHx9vHO8aTxd/FM8SnxDPDv8NHws/CW8HbwV/A68B3v/u/g78jvs++a737vY+9K7y7vDO7t7tTuvO6k7pDugu5y7lnuP+4x7i3uIu4M7fPt4O3S7cntyO3Q7dnt2e3T7dLt1O3W7d3t8O4K7h/uKe407kfuX+537o7uqu7I7t7u8O8H7yfvSu9t75PvvO/p8BbwRPBz8KLwz/EA8TTxZ/GY8cjx/PIu8ljyfPKi8s/zAfMz82LzivOw89v0DfQ79F70ffSq9O/1RfWY9d/2G/ZV9pP22fcf91H3YfdP9yn3BPb79yT3g/f7+Gj4x/k1+dP6ovuH/F79C/16/ar9rf2j/a392f4e/lT+YP5V/m/+yv8t/0H+9P6A/hH9jfzN+/L7UvsX+xj7G/sX+xz7LPs5+077fvvB+/T8BPwG/Bv8S/yI/MP88P0I/Rb9L/1j/Zv9tv2t/Z39o/2x/aH9YPz3/Ib8Kvv2++r7+PwJ/Av7+vve+8D7pvuQ+4T7iPuV+5X7dPs9+xv7Mft0+7H7xvu9+7f7vvu/+6b7bPsb+sn6j/p7+ob6kPp++kv6Dfni+dv57vn9+er5r/le+Q74w/h5+DP37/ef9zP2s/Y79dT1afTt9Hn0LPP387TzaPNZ87f0OPRM86LyhvGP8RHw6fDA8Grv/u+h71Xu/+6R7i7uD+5G7p3uy+7D7r3u3e8A7ujuku4/7iPuMu5F7lTubu6Z7szvA+8+72fvZO9C7x7u2O3/7FHqLehr56LnvOhF6O/ps+qO61vr9exe7Kns4+0P7TTtW+2C7aPtw+3n7g3uKu4+7lfue+6n7tfvDO9I74PvtO/Z7/bwD/Aj8DjwUvBx8JPwvfDz8TXxePG08eryGvJK8oDyxPMW82fzrPPr9DT0jPTn9Tb1d/W19fj2PPZ19pv2tPbP9vn3L/dl94/3svfW9/z4IfhH+HL4ovjS+QH5Mflk+Zj5yfn3+ib6VfqF+rb67Psk+1z7k/vM/Ar8S/yO/Nj9J/11/b/+Bv5O/pj+4f8s/37/1QAsAIAA0QEhAW4BuwIKAlkCpwLyA0ADkQPcBB8EXwSkBOsFKAVaBYgFuAXnBhAGNwZhBpAGvwbwByEHTwd0B5cHwgf4CDgIgwjbCTQJcAl+CXAJagl9CZoJrAm2CcQJ2gnxCgEKDgoaCiUKMAo/ClAKVQpJCjYKLgo1CkAKRwpMClUKXAphCmsKgwqpCuALNwu5DEYMowysDIEMZQx1DJwMvwzmDSINWQ1VDPsMawvfC3wLRAsqCx8LFAr+CuUK1grWCtsK4wrwCwILDgsHCvIK4ArWCs4KvwqvCqcKqQqtCq0KqQqiCpYKiQqBCoAKggqDCoYKkgqiCq0KtArACtYK7wsDCxMLJQsyCy8LHgsYCy0LSgtRCxMK+wrlCsoKpAp7ClgKNwoRCesJzQmxCYgJTwkeCQgJBgkFCP8I/Qj+CPcI5QjaCN8I5gjcCMMIsQi0CMgI6wknCYEJ4QodCh0J8Am3CYkJZAk+CREI3QipCHsIWQhDCC8IEQfoB8IHqQeUB2wHKgbcBpgGYwY3BhAF8gXZBcIFrAWcBZAFfwVjBT4FEgTbBJgEVwQwBCcELgQ2BD0ETgRmBHIEaARNBDMELAQ9BGQElAS/BNoE5wTyBP8FCgUOBQwFCQT7BNsEqgR9BGMEWgRQBDwEJAQPA/gD1QOkA3QDVQNJA0YDPQMqAxQDAALtAtICrgKIAmoCUgI4AhwCBQH3Ae0B4AHSAcQBtAGcAX0BYQFRAUwBSwFDATMBIQEbASEBIgEGAMQAawAW/93/x//J/8z/vv+c/3L/Uv9G/0z/W/9g/0r/Gf7n/s/+0v7X/sn+rv6h/rL+2P75/v3+0/5+/gz9iv0A/Hz8Dfux+1P65Ppt+gT5rflR+OX4dPgS98H3ePcz9vH2r/Zv9kP2O/ZQ9mL2X/ZM9jb2H/X99cz1kfVQ9QX0qfQ9887ze/Nb82vziPOQ83PzNfLa8nryO/Ir8inx/vGk8UbxCfDT8Hfv8u9t7w3u3u7c7u7uzu4q7PzrserW6pzqwurv6wPrCesF6u3qv+qM6mHqNen66bfpdek66P/oweiE6E3oFefN52nm7OZo5e/lkOVT5TnlO+VC5TPlAOS35HTkQOQJ47TjSOLu4s3i5eMW40XjauOD44fjYeMI4oniDOHD4cLh9+I34mPieeKF4oLiaOI94hziEuIR4gfh9+Hx4fniBOIN4hfiHuIW4fvh3OHJ4cPhweHE4dniAeIv4l3imuLz41XjluOh44bjauNa4z7i+eKQ4iThz+GR4V/hPuFH4Yvh/uJ+4uvjO+N547Xj9+Q45HTkreTr5TPlg+Xd5j7mn+b+51vntugK6Evod+iY6LboyujN6MPovOi86LzouujI6Qzpm+ph6yXrrevs7AzsR+yv7SrtlO3p7jTufe7C7wjvYe/P8D3wjvC+8Nzw+PEY8UHxffHP8iryf/LH8wTzOfNl84Lzk/Ok88Dz7vQm9GD0kfS79On1MfWj9j324/d19+P4L/hj+IT4m/i5+Ov5MvmH+eT6SPq0+yD7iPvu/FT8tPz9/SX9OP1T/ZD98v5o/t//Vf/NAEcAuQEdAXQBywItAp4DEwN7A9QELASMBO8FVAXGBkkGzAc2B5EH+QhxCN0JMQmHCe0KQQppCo0K+Qu/DLMNtA67D5gP8w+wDzQO6Q6uDhYNJQx+DKMNWQ4BDl0Oqg8bD4kPww/aD/gQHBAqECAQFRATEBEQFBAkEDsQRRBDEFAQcxCSEJkQkhCWEKcQshCvEKsQsBC+EM4Q2hDgEOAQ4RDnEPEQ/RENEScRQBFPEVsReRGtEeQSBhIXEikSRBJiEn8SnRK+EtYS4BLtExATRhNwE3cTZhNgE3oToxO4E60TmROSE5kTnhOdE5sTnhOmE8ET+RQ9FGYUXRRCFD8UVBRYFDAT7ROoE1cS1BIUETYQZQ+cDq0NhAxjC8gMCwz+DhQO4A9dD74QFxBcEJoQ8hFREV4Q5hAmD40PSg8xDx8PHQ8mDvkObA2+DWYNfw2mDXYM+wyODGQMXQxIDB4L+AvgC8ULlwtZCxoK5Qq3CpAKcgpiClkKRwomCf4J2wm8CZEJXAkwCREI7gi/CKEIugj7CR0I8giZCFYIQQg3CBIH0weTB1wHKgcDBvAG6gbeBskGuQa4BrcGoQZ5BlMGNwYYBesFvwWqBaIFiAVNBRAE+gUPBSYFEgTbBK0EqQTBBMgEoARXBBYD+wP7A/cD3gO2A5YDhgOBA3wDdQNtA2UDXANMAzIDDwLvAuAC4QLgAtACuQKoAqQCoQKWAoYCdgJmAlYCSAI8AjQCNAJIAnICpALIAtIC0ALXAvIDHQNHA1oDUQM4AygDJgMmAxwDEQMSAx8DLAM5A0sDZAN6A4YDkgOgA6QDkwN2A10DRwMwAygDTwOiA+wD8gO3A3oDbQOKA6QDpQOSA34DbgNeA0wDOwMuAycDJQMmAyIDFQL+AuUCzQK3AqUCmgKWApMCjwKKAoYChQKEAoMCfwJ3AmwCagJ0An4CegJqAmACYwJkAlACJwH8AdoBugGQAV0BKgEAANgArQB7AEsAIv/+/93/u/+Z/3f/Uv8n/vj+z/6u/pD+cP5P/jH+E/3w/cj9of1//V39Ov0Y/Pv83vzA/KP8ivx1/Fv8O/wX+/P7zPuh+3L7Q/sT+uP6uPqU+nH6Svoj+fv5z/mb+WP5L/kC+Nf4rfiF+F/4N/gL9933sfeH9133N/cY9v323va69pP2afY/9hX17PXD9Zb1Z/U99Rb06fS19ID0T/Qf8+bzqfNt8zjzB/LY8q3yhfJc8jHyCvHk8bzxj/Fk8T/xH/EB8OLww/Ck8IPwZfBK8DDwFO/47+Hvy++w75DvcO9T7zXvE+717tvuwu6o7pTuie5+7mruU+5E7jzuMO4Y7f3t6O3e7drt3u3p7fHt8O3p7eTt4e3g7eXt9O4K7hzuKu497lfuc+6M7qXuwO7a7u/vAu8b7zrvV+9075jvxO/08CPwUPB98Kzw3vET8Ufxd/Gl8dbyDPI98mbyifKv8trzCfM582jzk/O48+D0DfQ89GL0hvS49QD1VvWp9fL2L/Zl9pv22fcg92b3mvev96H3evdU90r3aPec99X4GPiC+Sr6Bfr5++b8r/0//ZH9sv29/c/9/f5F/of+pP6i/rz/Ff+B/6//gv8n/sf+Sf2G/Jn7z/ta+y77LftK+3r7ofuw+8H7+vxW/KL8vfy3/LP8w/zk/Qr9KP02/T/9Wv2S/cv95f3d/c/90P3U/cH9i/01/ND8c/w9/Dr8U/xj/FT8MfwM++z7z/u9+8v7//xC/Gr8Xvwu/AL7/fwY/DP8N/wn/Bf8E/wR/AL72fuX+077Ffr++wT7Dvr++sj6dvoh+eL5u/mZ+Wj5K/jz+Mz4q/iE+Ff4IvfW92H2yPYp9ZX1BfR79A/z0/Os827zIPML81zz1vP584Dyo/HS8Uzw+/Co8D3vxu9b7wXuvO527j3uKO497lruUO4h7gTuF+457i7t/e3c7e3uEe4o7kLuge7b7yDvP+9R72nvhe+s7+nwBO9z7dDraOki58nnfufh6I/pXupA6xrr0uxd7Lrs7O0C7RftOe1j7Yntru3U7fXuCe4U7ijuSe5z7qPu3O8c71nviu+179zv+/AN8BjwK/BI8G7wm/DU8RnxYPGh8dryDfI88mzyqfL180bzjPPJ9A30YfS/9Rj1Y/Wi9d32GPZO9nf2kvaq9s72//cx91v3gPem98739vgd+En4e/iv+OH5E/lF+Xj5qPnX+gb6Nfpk+pb6zfsG+zv7cfut+/D8N/x9/Mb9E/1h/av99P49/ob+zv8X/2b/uwARAGQAtQEDAU8BmgHmAjECegLDAxIDZAOvA/EEMwR7BMQFAgU0BWUFlwXGBe8GFQY+BmoGmAbKBv4HKwdPB3UHpgfhCCUIgQkJCaQKEQoeCd8JmAl5CX8JkgmnCcMJ4gn4CgUKEAocCh8KGQoaCiwKQQpHCjsKMgo4CkYKUQpWClsKYwpvCoUKpgrRCwoLYgvfDF8MoQyRDGAMVAx3DJwMpgyzDOgNLA04DOUMVAvEC1kLEwrpCtMKxgq2CqMKmwqkCrYKyQreCvYLBgsBCu0K2grRCsoKuwqsCqcKrgq2CrcKswqvCqkKoAqUCosKhwqJCpIKoQq1CsgK2QrtCwILEwsXCxQLEQsPCwgK/Qr8Cw0LIgslCtoKzQq9CqEKegpTCjMKFgn2CdUJtgmRCVgJFgjoCN0I5QjqCOkI7QjxCOYIzgi+CMMIzAjCCKYIkQiUCKoIywj3CTUJeAmoCbMJnQl2CU4JLAkKCOIIsQh6CEcIIggMB/4H6AfFB6EHhwdzB1AHEgbEBnoGPwYSBe4F0QW3BZsFgAVsBV8FTQUwBQgE2wSlBGYEKAQAA/QD+gQFBBgEPARoBIIEewRbBDwEMwRIBHQEqwTdBP0FCwUPBRAFDQUDBPcE7ATcBLoEigRdBEQEOQQqBBMD/gPyA+UDxgOXA2sDUQNHAz0DKwMWAwQC8gLaArgCkQJuAlQCPAIfAf4B5QHVAccBtgGjAZUBjAF9AV4BNgEXAQ4BGQEkASEBEAECAP4A9QDTAJMARgAG/+H/1P/V/9P/xP+l/37/XP9G/0L/Tv9Z/0r/F/7a/rn+u/7F/r3+pP6P/o7+nP6q/qv+lv5n/hj9pv0a/I78HfvK+3n7D/qW+in50fl6+RT4q/hP9//3tvd09z33DPbW9qn2m/as9r32t/ag9on2dvZa9iz19PW49XT1FvSX9AzzofN785Pzt/Ow823zBPKT8jjyCPIA8fLxsPFA8NjwmvBo8Bfvou8u7t7uve7O7vTu2O4f7M7rb+qc6nXqo+rJ6tTq2urZ6r7qiOpR6ibp9+m16WjpI+jo6K7ob+g06ADny+eG5yvmv+ZH5cnlUuT35MfkweTL5MjkpORl5CTj8uPC43zjFeKn4lriQ+JY4obiveLu4wbi8+Kv4knh3eGS4X/hn+HR4friF+Iy4kXiPOIV4ejhzOG74aHhgeFv4Xnhk+Gs4brhuuGl4YDhWuFD4TnhNuFD4W/hs+H14ibiV+Kg4vLjIuMU4t7iqeKC4lHiAeGh4VbhLeEV4P3g7OEB4UrhuuI14qPi/ONG44njyeQG5ELkguTM5R7ldOXQ5jXmneb+51Xnqef46DfoYuiC6KDouOjA6Lvoteiu6J3oiOiN6NbpcOo96wfrmuvp7BXsUey27TLtpu4D7lLumu7b7xzvb+/c8E3wpvDd8P3xFvEy8VnxlvHr8kryofLq8ynzXfOB85XzpPPD8/b0NvR19K704fUP9Tv1c/XJ9kT21vdn9+L4P/h9+KT4xPjw+S/5d/nB+g76aPrS+0f7vvwt/I781/0G/SD9OP1q/cb+Rv7Q/1H/ygBEALgBGQFnAbACBwJwAuEDTgOyBBIEdwTfBUYFqwYYBpQHEweEB+kIUQi9CSAJfQnlClIKnQq/CvELbQwsDQMN+A8ZEB8QfhAWD3wPSQ9QDuIN2AzlDMENWg4WDqIPHA+kEBQQShBdEHEQfhBwEFcQTxBWEFcQUxBdEHEQfBCAEJIQtBDJEMEQsxC8ENYQ6RDtEO0Q8BDzEPQQ+hEGERERGBEcESERKxE9EVcRbhF8EYoRrBHhEhISLxJBElcSchKMEqUSxBLjEvUS/BMOEzkTaxOHE4ETcBNxE5ATtxPLE8ITsBOpE7ETuhO9E7kTtBO3E9EUDBRVFIMUgxRsFGQUbhRuFE8UGxPnE6YTNxKLEbMQzQ/bDsMNgAxXC8cMIA0rDk0PDw96D9YQRRCrEPkRNxFPEQUQUg+cD1cPfw+qD5UPXg8qDtUOQw26DaoOEA5bDhANUgyqDGQMWQxJDCYMCAv3C98LtAt+C0gLFgrnCrsKlgp+Cm8KYgpLCiwKCwnoCb0JiglcCTYJCwjbCMsI/AlPCW4JKgiyCGAIUQhXCD0IBgfQB6oHigdsB1MHNwcLBt0GxwbPBtQGuAaHBmIGUwY+BhMF4wXKBcQFrQV0BTQFEAUPBRAE9QTDBJgEjgSbBJ0EeQQ9BA0EBAQUBBcD+wPPA7ADpQOiA5wDkgOHA30DcgNpA14DSQMtAxEC+wLnAs4CtwKsAq4CsAKrAqICmgKTAoYCdQJgAkkCOQJBAmoCpALQAtwC0ALEAskC4QMAAxQDFgMOAw0DFQMZAxMDDAMUAyQDMgM8A08DawOCA48DmwOnA6YDjgN0A3EDggOFA3MDdAOsBAIEMAQNA70DgwN/A5cDpwOhA5IDgwN0A2IDTwM/AzcDNAMyAyoDGAL8At4CxQKwAp4CkAKHAoUCiAKKAokChAJ6AmwCXQJNAkECPgJGAlECUQJFAjoCOwJAAjUCFAHrAckBrgGNAWIBMwEIAN4AsgCGAFoALv///9L/rf+S/3f/U/8k/vL+yP6o/oz+b/5T/jf+Gf33/dP9sf2Q/W/9Tv0w/RT89vzW/LX8mfyA/Gb8Sfwo/AT73Pux+4b7V/sl+vX6zvqv+o76aPo++hL55fmy+Xz5Sfka+O74xPie+Hn4UPgj9/j30/eu94b3YPdA9yT3B/bl9r/2lPZl9jb2CvXd9az1evVN9ST09/TA9Ij0VfQj8+/zuPOD81DzHfLs8sLynvJ58lLyKvIC8drxrvGD8V3xOfEV8PPw0/Cz8JPwdPBa8EPwK/AR7/nv4O/B75zvee9b7z7vIe8H7vDu1+677qTul+6N7n7uaO5V7kjuOO4i7gvt++307fXt/O4F7gfuAu367fPt8O3u7fLt/e4L7hruLO5J7m/uku6t7sPu1+7n7vbvCe8l70XvYu+A76Xv1PAD8C3wVvCB8LLw6PEg8VXxg/Gu8d3yEPI/8mfyjvK58ufzEfM682Lzi/Oz8+D0EPQ+9Gb0jfTF9RH1ZfW19f/2RfaD9rr27vcp9233sffp+Ab4Affl98v3wPfD98336fgv+K35WPob+uP7nvxA/MH9JP1q/Z390/4d/m3+nv6r/r//Bv9q/6X/mP9e/xH+n/3r/RD8V/vt+8j70fv8/Dj8Yvxr/HH8pP0F/Wn9o/2r/ZP9b/1T/Uz9WP1o/Xj9k/3A/ez+B/4R/hv+J/4j/gb90v2M/TH80PyM/Hz8jPyS/H38XvxL/EL8Ofw8/GL8sv0M/UX9Sf0p/Qb89/z4/Pr86/zJ/KD8fvxs/GD8R/wW+9H7jvtd+0X7Ovss+wn6zvqF+kD6A/nG+Xz5LPjn+Ln4nviJ+HL4TfgK9573EvZ/9fL1a/Tu9I70T/QY88zzfvNo86Hz8PP2847y5fJC8b3xSPDR8Fnv5u9+7yfu6u7D7qfukO6C7nLuTe4a7fvuAu4Q7gTt5+3l7gXuHO4Y7ifue+77713vgO+D74vvn+/E8AfwPu/m7n/sKOmq5+XnOOd06DPpIOoN6uTrqOxQ7Mbs8+zp7Nbs3uz/7SftUu197Z7tr+257c7t8+4i7lrum+7h7x7vUO9/767v1O/n7/TwCvAt8FXwgPC28PjxP/GC8cHx/PI08mnyo/Lo8zHzdfOy8/H0PPSU9O71QfWH9cT1/fYy9lv2dvaL9qr21/cH9zL3V/d996b3zPfx+Bv4TfiD+Lf46vkd+VH5hPm1+eb6FfpE+nb6rvrm+xz7U/uR+9j8Ivxq/LT9AP1N/Zr95f4v/nf+vv8G/1H/n//vAD0AiwDYASIBbQG6AgUCTAKUAuEDLwN3A7kD/QRGBI0EyQT+BTQFawWcBcUF7AYVBj4GaAaaBs8G/QcjB04HhwfDCAUIcQkrChMKxgrtCpcKFwm4CYwJiAmqCeYKHQovCh8KDQoLCgoJ/wn3CgYKJwo/CkIKPQpCClAKXAphCmYKcgqHCqUKygr1Cy8LigwGDHYMnwx5DEUMRgx4DJoMkwyRDMoNIw1EDPkMYwvIC1ELAArOCrMKpQqUCoAKegqKCqYKwArVCuYK8ArrCt4K1ArRCswKvwq0CrUKwArICsYKvwq+CsEKvwqzCqIKmQqcCqoKvQrSCucK/QsSCyMLJwsdCwwK/gr2CvAK6ArkCuYK6QrlCpYKkAqGCnEKUwo1ChsKAQnlCckJqwl+CTkI7Ai6CLEIwAjNCNMI2wjdCM4IsgigCKIIqQigCIcIdQh4CIwIqAjJCPMJHwlECVMJTQk2CRkI+wjXCKoIdghCCBQH8gfcB84HvAegB34HXwdHBygG9AavBmcGKgX6BdEFrgWOBW4FUQU8BTEFIgUHBOAEtASCBEoEFQPzA+kD6wPzBAgENARqBIwEhgRnBEsERQRVBHcEpATVBPwFDgUPBQYE+QTpBNgEyQS2BJIEXwQxBBYECAP4A+ED0wPSA88DtQOIA2IDUgNNAz8DIgMCAukC0wK3ApMCbwJSAjsCIQH/AdoBvQGsAZ4BigFyAWABWwFXAUMBHAD0AOIA7gEFAQoA+ADgANEAxACmAHYASQAuACUAHgAO//X/1f+y/47/bP9P/0D/RP9O/0L/Ff7X/q3+o/6k/p7+j/6G/oT+gv57/nH+Zf5O/hr9vf06/K/8Pfvr+5v7NPq++lX5//mp+Uj46PiT+EP38fet94f3cvdX9zP3HPca9xf2//bY9rf2oPaF9l32LvX/9cX1afTf9DnzrvNx83/zm/OG8zPyxvJo8i3yF/IT8fjxpfEp8LbwafAr79bvZu777rDulu617uruzu4A7JXrLupn6lPqhuql6qfqq+qs6pDqWOof6fHpvOl06SLo2+ie6F/oHufk57Lneucz5uHmh+Yg5aXlIeSx5GvkUeRP5E/kPeQS49jjn+Nu4zPi3uJz4g/h0eHC4dziEeJP4n7ihuJj4hvhweFz4U/hXOGC4aXhveHY4fLh9eHX4arhhuFq4UXhFuD44P3hHOE84UzhR+Er4P7g0eCx4KLgo+C/4QHhXOGq4dfh9+Ip4mrijuJy4ibh0eGJ4UfhAuDL4LXgueC94LTgr+DM4RXhf+H24mfix+MX41vjnOPc5BzkYeSw5QflY+XF5i7mmeb450jnk+ff6CHoUeh06JTosOi/6MHou+is6I7oceh56Mzpa+o36v7rmOv27C3sbezR7U7twu4f7nHuwe8J70nvkO/v8FnwtfDy8RnxNvFS8XrxuPIP8nDyx/MP80zzfvOc86nzuPPf9CH0a/Su9Oz1KfVn9Z31zfYK9mT22/de99r4QviP+Mb4+fk4+YP5zfoR+lT6oPr8+2n74/xY/LP86P0E/SD9Uf2l/h3+rf89/8EAOwCyASABdQG1AfYCSgKtAxcDhAP0BGQE0QU4BZsGAAZqBuAHWgfRCEEIrQkVCXYJ2gpHCqUK3Ar9C0oL5AymDWcOSg92EI8Q7BBrD8MPpw/XD3gOTw0mDNsNcg5JDvYPiBAXEIUQthDEEMwQxBCkEIYQixCeEKAQlBCXEK8QwxDMENsQ8xD6EOoQ2xDoEQcRHxEoES4RMBEqESARIhEvET0RQRFAEUcRWBFzEZERphGwEb0R3xITEkASWRJpEn8SmhKxEskS5xMBEw4TFRMuE10TiRObE5EThROKE6QTxhPdE90T0BPHE8sT1hPaE9MTyBPLE+oUKRRxFKAUphSVFIwUkhSTFH4UWBQuE/wTpxMTEj4RPRAhDuoNnQx2C+gMQg1SDnoPPg+mEAUQfxDxETcRTREkEJkPyg8zDzsPthAID9sPXw7hDmYN4w2cDeQOiw7iDnINfQyrDFIMRgw/DCkMFQwAC94LsAuFC14LMwsECtoKuwqiCosKdApZCjkKFgnzCc8Jpwl9CVMJIQjxCOQJGQlrCYcJQAjFCHEIXwhjCE0IIggAB/IH5wfRB6wHcQcpBvMG9AccBy4HAQayBnsGawZfBjwGDwX1BeoF0QWeBWcFRQU5BSsFCgTaBK4ElQSLBIAEZAQ9BCMEIgQqBB4D+wPXA8cDxQPBA7UDqQOhA5cDiAN9A3oDdANiA0UDJgMIAugCzQLAAr4CvQK3ArECrwKvAqwCowKUAnsCXwJTAmYCjwKzAr8CuAKwArECvwLUAukC9QL8AwYDEgMaAxgDFQMeAy4DOwNFA1cDcwOOA58DrAOzA6UDggNsA4sD0QQBA/IDyAPKBAoESgREA/YDogOBA5QDrwO2A6kDlgOFA3QDYgNRA0MDOQMyAyoDGgMBAuQCzQK7AqkClQKFAn0CfAJ8AnoCdAJnAlQCPgIsAiECHgIhAiYCJQIbAg8CDQITAhIB/wHgAcIBqgGMAWQBNgEIAN4AtACMAGMANgAE/9P/rf+S/3P/Sv8Z/uz+x/6n/on+bP5Q/jf+HP4A/eP9xv2o/Yn9bP1R/TT9FPzx/M38rPyO/HP8Wfw7/Bb77PvC+5f7afs3+wf64/rH+qn6g/pV+if59/nF+ZT5Zfk4+Qv44fi++Jr4cfhD+Bv3+vfb97X3jvdq90n3KPcE9tz2sPZ99kf2FPXj9bD1fPVN9SL09/TF9JH0YfQ09Ajz2vOr83rzRvMU8u3yzfKr8oPyVvIp8f3x0fGm8X7xVfEq8QLw4PDA8J/wgfBn8FLwPPAk8Arv7e/J76Hvfu9i70rvMu8c7wju8u7W7rvuqO6b7o3uee5k7lLuQu4x7iHuFu4S7hXuG+4g7h3uE+4J7gLuAe4C7gfuD+4Y7iTuOe5d7onur+7J7tnu4u7n7u/vAe8e70DvYO+D76/v3vAK8DDwWPCE8Lbw7fEl8VnxhvGw8d/yEPI+8mbykfLB8vHzGvM982HzifO38+v0IPRN9HH0mvTX9Sf1efXE9gz2Vfab9tj3C/c/93r3vfgD+D34W/hZ+Ef4OPgv+Cv4MPhQ+JP48vlk+eL6avr8+5X8LPyw/RP9Z/3C/h/+XP5t/nj+rP8D/0b/Vv9D/xr+xf4t/Xf85/yf/JD8n/zG/Pz9Jv0y/TT9VP2h/gf+YP6I/m/+Hf2+/YP9gP2f/cb96f4J/iX+Pf5b/oD+mf6P/mP+Kf3m/Y39JPzO/Kf8pfyn/KH8pvzB/OT8+f0H/Sv9aP2n/cn9yv25/an9oP2a/ZP9f/1W/R386fzO/Mb8uPyP/Ej79fun+2v7Rvs0+yP7A/rR+pf6Xvoj+dz5ifk3+PP4x/iu+Jj4cfgq98b3V/bq9n32CvWa9Tv07vSi9FH0FvQU9EH0XvQw87nzKvKr8jrxxPFL8N/wgfAm79Dvke9u71bvNe8O7uruxu6i7ojufe5x7lXuPe5D7lvuWe447jbuiO8R737vqO+r76/vt+/B79/v/e+47pvsluox6DDnHucT58Xox+m+6o/rVOwX7LDs7OzQ7JzsheyV7Lns4e0L7SztP+1M7WXtj+3E7gLuSO6P7szu/+8x72Tvju+q78Xv6/AY8EHwaPCY8NjxHvFj8aXx5/Io8mXyoPLf8yHzY/Oj8+P0KPRz9MX1GfVo9a316PYa9j/2WPZt9or2tfbl9xD3N/dd94P3pvfJ9/H4IvhY+I/4xPj3+Sv5X/mU+cj5+fop+lz6k/rN+wf7QfuB+8f8Efxa/KX88/1C/Y/92v4i/mf+q/7x/zj/fv/EAAsAVgChAO0BOgGKAdcCIAJnArEC+QM9A30DwgQJBEsEhAS6BPYFMgVkBY8FuwXmBg0GNAZlBpwGzQb2BycHZQehB90ISAkWCicLDQtmCzEKtgo2CdMJpwnNCjYKlgqiClwKBwncCdYJ1gnVCeQKBwoqCjsKQApIClUKYApmCm4KfwqaCroK3AsDC0ALogweDIAMkgxZDCMMLwxsDJEMggx/DMUNOQ11DTUMlQvlC1sLAQrLCq8KnAqECmwKaAqACqUKwgrPCtIKzwrLCsgKzArSCtAKxwrCCsoK1wrcCtQKzArRCt8K5wreCskKuwq/CtMK6gr9Cw0LHQssCzMLLQsdCwkK+ArrCuIK1grICroKrAqfClAKRQo8CjAKHgoNCf4J7AnYCcQJqQl5CSwI1gibCIwInAiwCL0IxAjCCLEIlgiDCH8IgAh4CGkIXwhiCG8IggicCL4I4gj/CQ0JCwj9COgIzQimCHEIOAgHB+EHwwerB5kHigdzB1AHKgcLBu4GxgaNBk0GFAXiBbcFjwVsBUsFLgUaBRAFBQTtBMkEngRwBEAEFgP/A/oD+wP8BAsEMwRoBIgEggRmBFMEUwReBG8EjQS5BOUE/QT7BO0E3wTQBL8EqwSRBGkENAQEA+YD2APJA7YDrQOyA7QDnQN0A1QDTANNAz4DGQLtAscCqAKKAmwCUAI6AiQCCQHlAb8BnwGJAXYBXgFCAS8BLwE4ATIBEADiAMUAygDgAOYA0QCzAKEAlgCBAGQAUwBcAG0AawBLABj/5P+4/5P/cP9R/zr/NP81/yv/CP7U/qf+iv51/mP+W/5h/mn+Zf5W/kr+RP43/g79v/1O/NT8afwS+7v7Vfrp+on6Nfnb+Xf5HfjR+IT4LPfk98f3zPfL97P3lfeA92j3PPcD9s/2p/aB9lb2K/YC9dP1hvUJ9GXzzvN683Dze/Nf8xTywPKG8mjyWPJF8hfxu/E98MLwZfAX77vvTe7e7ojuaO6L7sfuqO3K7FXq9OpB6jrqbeqA6nrqeup86mLqK+nw6bzpgOkz6OLom+hY6BHnzOeT52HnJ+bg5pXmSuXx5Xvk9eR75CTj8uPa49Tj0OO644rjS+MR4tvileI54dfhi+Fk4WThh+HA4friG+IX4evhoOFQ4SDhJOFI4Wvhe+GE4ZDhkuF84VnhOuEd4PLgu+CU4I7goOC14L/gveCq4IPgUuAp4BTgGeBC4JLg9+FK4XbhjeGu4dnh6eG94V3g8uCa4FvgM+Ao4DrgWOBr4HHgfeCl4PDhVOHG4jninOLr4y3jceO34/zkQeSP5OrlT+W55iXmjebm5y/ndufB6AjoQOhq6I/or+jD6Mjov+ik6H3oY+h96N/pgOpA6vzrluwA7EbskOz37Wrtye4S7mLux+8u737vv/AK8Gbwv/EC8THxVfF18Zzx2fIx8pby7/M0823zm/O588PzzvPx9DL0fvTF9Qr1VvWk9eX2FvZI9o727/di99z4T/iy+QP5TfmW+d/6Ivph+qL65/sy+437//xz/Mj88f0H/TP9hv36/oP/FP+kACgAowEYAYEB0gIPAkwCmALzA14D2gRfBNkFOAWIBeAGRwa3ByoHoAgaCJUJCwl5CeEKSQqqCu0LCAsrC50MaQ1JDgMOww/DELwRDhCTD/gP3g/+D4gOUg0zDQUNug6jD1QP4RBnEMwQ9hD/EQIQ+BDYEMIQ0BDpEOkQ2BDZEPMRCREPERURIhEmERwRGBErEUcRWBFfEWURaRFiEVgRWRFjEWcRYhFfEWwRiBGrEcoR3BHhEewSDxJGEnIShxKSEqMSuxLSEugTARMWEyETLBNJE3YTnhOwE68TqxOtE7oT0RPpE/QT7BPfE98T6RPtE+QT2RPhFAYURRSHFLIUvBSzFLAUvBTHFLsUlxRtFEgUEROcEswRrxBxDywN6gzTDEcMlA2WDroPgg/sEEEQoxD1ERcRDhDSEEkPjg8VDzcPuxACD7cPEw50DfQNkw2EDfgOow7cDkwNTwyIDDkMLQwnDBwMFQwBC9gLqwuNC3QLSgsXCvAK2wrHCqcKgApXCi0KBAniCcYJqwmMCWYJNgkECO8JFQlfCYUJVwjxCJwIeAhpCE4ILQgcCBkIEwf7B8oHfwcuBwkHMAd8B5kHWwbwBqQGjAaBBmIGOwYlBhkGAQXWBaoFiwV2BVoFNAUKBOIEwwSrBJUEewRgBE4ERgQ2BBcD8QPeA+ID5wPfA9ADygPMA8UDrwObA5QDkgOHA3ADVAM3AxcC9wLgAtMCxwK6ArQCtwK8Ar8CwAK9ArECmAJ/AnkChAKTApwCpAKxAsIC0ALdAuoC9AL6Av8DCAMSAxcDGgMiAy8DOgNDA1EDaQOGA58DtQO+A6wDgQNoA4wD5gQwBC0D7gPDA+AEIwQ/BBMDyAOcA6MDvwPKA70DpgOUA4cDeQNnA1MDPwMwAycDGwMIAvAC2wLMAr0CqgKXAokCfQJwAmICVwJNAj0CKgIcAhYCFAIPAgkCAAH0AeYB4AHlAeoB4wHQAbkBogGIAWQBOQEOAOUAvACUAGsAQAAQ/+H/uP+T/2n/Of8N/uv+zv6u/or+af5N/jb+IP4K/fT93P3A/aT9iP1s/Uv9J/0C/N78vPyc/IH8aPxM/Cj7//vV+6v7fftL+x36+vrd+r76lvpp+jn6B/nX+az5hfld+TP5C/jp+Mf4nvhx+En4KPgH99/3s/eJ92H3N/cM9uH2tPaB9kz2GPXp9br1ifVa9TD1B/Tb9K70g/Rd9Df0DvPi86/zefNH8x/y//Lb8rDygPJP8iDx8/HI8Z7xcfFC8RXw7/DO8K7wkPB28F/wR/At8BLv8+/O76bvhO9r71fvQu8u7xzvCO7v7tLuuu6o7pjuhu5x7l7uT+5E7jvuMu4r7ivuLu4w7ivuIO4W7hHuEO4S7hnuI+4t7jjuTu5x7pruu+7Q7tru3e7e7uTu9e8R7zHvVe+A77Lv4/AM8DLwW/CK8Lzw7/Ei8VPxgfGw8eTyGPJH8nDynPLL8vjzIPNH83HzofPV9Az0QPRo9Ib0rfTu9UH1lPXc9h/2ZPao9uX3HfdU94z3yPgK+Er4ePiK+I34k/ie+Kn4svjC+N35Avkt+WP5q/oM+or7Hvuz/Df8rf0n/Zv96f4H/hv+U/6q/vf/JP9B/03/Jf6t/gX9d/0q/RP9F/0y/WH9kv20/cr95v4d/nD+zP8J/vr+mP4X/b79sf3b/hP+Qv5m/oL+n/7I/vL/A/7l/qT+Xf4W/cT9Zv0W/O786fz0/Qr9N/15/bP9z/3W/eD99f4H/gn+Av3//gD9/v32/ev91/2w/Xr9S/00/S/9Ivz6/LX8XPv++6z7dPtZ+0j7Kfr1+rX6evpI+hb52/mW+U75FPjs+Mn4kfg799b3e/cq9tH2ZvX39Zn1T/UJ9Mn0p/S09NX0zvR98/rze/Mb8sbyZvIC8a3xZPEY8MPwe/BK8CPv8++774vva+9T7zvvIe8A7tnuvu697sbutO6I7nruue8q74Xvpu+n76zvuO/B78rvzu+U7sntRes66SfnnucI52boUelK6hnq3eux7G/s0uzP7KTsj+ye7L3s2uz27Q3tG+0m7TntWO2F7b7uAO5B7nnuq+7e7xLvPu9k75HvyfAB8CvwUfCB8MHxB/FL8YzxzvIR8lHyjvLK8wfzSfOR89r0H/Rh9Kr0+/VP9Zn10vX89hv2M/ZL9mv2lvbE9vH3GvdC92n3i/es99T4Bfg7+HL4pvjY+Qv5QPl3+a/55foX+kz6hPrA+v37O/t6+7z8AvxL/Jf85v01/YP9zP4Q/lD+kP7S/xT/VP+T/9YAHwBrALgBBwFYAaYB8AI3An0CwgMCA0EDhQPKBAcEPARzBLIE8AUkBVQFhQW1Bd0GAwY2BnIGpgbSBwcHSQeDB7YIDQi8CbEKlQsYCzAK+wqRChAJwgnzCpcLNAtJCsoKHgmwCZQJoQmyCcYJ5woLCiQKMwpACk4KWApdCmcKewqXCrMKzwr0CzYLnwwaDG8MbwwvC/wMEwxZDIAMcgxxDMMNTQ2iDXAMyQwEC2YLAwrNCq8Klgp5CmMKaAqKCrQKzQrPCsIKtQqyCrsKygrUCtEKygrKCtUK4QrhCtkK1AreCvQLBQsDCvIK5ArpCwALGgspCzELNQs5CzYLLQseCw0K/ArqCtgKxgqwCpcKewpiCgUJ7QngCdgJ0AnJCcUJxAnECb8Jqgl3CSYIywiKCHQIgAiXCKkIrwioCJUIfghrCF8IVghNCEgISwhRCFUIXQhxCJAIsQjJCNIIzgjDCLMInAh0CDkH+wfLB6kHjAdvB1kHTAc6BxkG7AbGBqgGiAZbBicF9AXHBZ4FeQVYBTkFHQUKBQAE9QTfBLoEjwRlBD0EIAQSBBIEEQQMBBUEOARpBIQEeARdBFAEVwRhBGgEfASmBNUE6wTkBNEExAS5BKcEiwRqBEEEEAPiA8QDswOlA5QDiwOPA5EDfgNbA0ADOgM5AycC/wLNAp8CegJdAkgCOAIpAhQB+AHVAbABjAFvAVMBNwEcARABFwElASIBAQDQAK0AqQC2ALYAnwCDAHUAcQBlAFIATgBmAIUAigBqADP/9//A/43/X/86/yL/F/8Q/wL+5v7B/pn+cf5I/ij+Hv4o/jT+Mv4q/iv+Mf4m/fj9qP1F/N/8gfwp+877avsL+rf6ZfoE+Zv5RPkE+MD4a/gg+AH4CPgN9/f30vex95D3Yfck9uX2qfZu9jT1/vXN9Z/1ZfUM9JD0DfO085bzjPNo8yby6PLB8qPyfvJM8gzxsfE78MHwWvAF76rvO+7B7lruK+5L7ofuY+1/7A/qwuol6ijqVupf6lHqTupO6jPp/Om/6YPpQOjx6KPoXegW58nngedH5xPm1+aQ5krmCOW25UnkyuRT4/PjrON842jjZ+Ne4zji+uK74oHiQOHu4ZnhVeEp4RjhJOFJ4XzhqOG54aXha+Eg4Ozg7+Eb4UThTuE/4S7hIOEO4Pvg6ODO4KDgZuA54CbgI+Af4B3gIuAj4A/f5d+436HfrN/e4DHgkuDj4RLhK+FA4VDhQ+ED4JzgNN/m37vfrt+9397gA+Ag4DngXOCT4ODhPeGq4hnieeLC4wDjReOS49zkIuRv5M7lOuWp5hLmc+bJ5xXnX+es5/XoMuhj6IzorejC6MbotOiL6F3oT+iF6QTprepg6wvrnewL7FzssO0Y7Xrtt+3h7i7usu9F77Hv8vAt8Hvw0fEa8VLxfPGd8cHx+PJP8rfzEvNW84vzufPb8+bz6vP/9DL0d/TA9Qr1XPWx9fv2NPZs9rD3Bvdt9+P4Yfjc+Uz5rPn7+jn6bPqi+uP7KPtq+7b8G/yI/Nb8+v0Z/V790f5Z/uT/cP/8AIEA/AFtAdICIQJgAp4C7ANRA9EEaQT/BWsFpQXQBhsGiwcHB3sH7AhmCOUJYgnXCkYKsAsHCzYLQQtlC/IM8w4JDtQPZBAEEK4Q9hCqEDIP/Q/VDycN+w0bDTEOCg70D5YQGRCdEP8RIREgESMRJBEVEQcREREjESQRGxEkET0RSRFCET0RRhFREVcRYxF6EY8RlRGTEZURmBGXEZYRnBGiEZ0RkRGQEZ8RuxHaEfQSAhIGEhMSPRJ4EqcSuBK7EsgS4BL3EwsTHRMuEzoTShNnE44TsBPFE88T0hPNE8sT1hPuE/8T/RP0E/UUABQFE/wT8xP+FCQUXRSYFMEUzhTIFMgU3RTzFOwUxBSZFIUUbxQSEzwSAxCtD20OSA1QDNENGA4ODygP6hBGEHkQphC6EKsQkRBrEBcPkw8yD0EPmQ+6D14OvA4tDcoNjQ2SDewOVQ5TDcQNCAySDGcMSAwaC/wL+AvwC84LqwueC5ILagsvCwMK7grZCrIKhApdCjkKEwntCcgJpwmJCW4JTQkfCPsJCAlLCYwJiglBCOkIqwiHCGkITwg+CDEIHAf8B8sHhwdDBzEHagfAB9sHlQclBtYGuQanBoQGXAZHBjwGKAYGBeUFyQWrBYMFVgUvBREE+gTlBMwErgSQBHkEZgRMBCgECgQEBA8EFAQIA/sD/AQEA/wD4gPGA7gDsQOkA44DdgNdAz4DHAL/AugC0gLAAroCwgLMAs8C0QLXAtkCzQK2AqICmgKXApoCrALNAu0C/gMAAwADAQL+AvgC+AMAAwsDEgMZAyIDKgMvAzgDSgNlA4QDnwOtA6MDgwNoA3oDvQQCBA4D2wOhA58D2QQUBBoD7wPDA7gDxAPNA8UDtQOoA58DlQODA2oDTgM4AysDIQMSAv0C6gLdAtACwQKyAqQCkQJ0AlcCRAI6Ai8CHgISAg8CDQICAfIB4gHUAccBvwHAAcYBwwG1AaABjQF3AVoBOAETAOwAwQCUAGkAQQAW/+r/vf+O/1z/Lf8I/u7+1f6y/or+Zv5L/jf+JP4T/gL97v3W/br9nf19/Vf9L/0K/Oj8yPyq/I/8d/xc/Dn8Evvq+8H7lPtj+zj7FPr0+tD6p/p8+k/6H/nx+cr5qvmJ+WP5PPka+Pj4z/ii+Hj4Uvgp9/r3yPeb9273PvcM9t/2tfaJ9lv2L/YJ9eL1t/WJ9V71N/UO9OP0uvST9G30Q/QU897zpvNx80XzH/L38snymfJp8jvyD/Hl8bvxjvFd8S7xBvDk8MTwpvCL8G/wUfAz8Bbv+O/V77Dvju9372XvUu8/7y3vGu8D7ufuzO617qPuke597mvuXu5X7lDuRe457jLuMO4v7iruI+4e7hvuGe4b7iPuMe4/7k3uYu5/7p3utu7F7s3u0+7Z7uTu9+8Q7y7vVe+H777v7/AY8D/wa/Ca8Mfw8vEe8UzxfPGy8ezyJfJW8oHyrPLW8v3zJPNT84rzxPP89DH0X/R/9Jj0vvUA9Vb1qfXy9jX2dvaz9uv3Jvdj95731PgL+EP4c/iS+Kv4y/jy+RT5LflB+VX5ZPlv+Xr5jvm0+fT6UvrE+z37v/xO/Nr9RP2G/cL+Fv59/tj/Jf93/8L/zf9o/qz96f1g/R/9GP02/Wb9mv3M/gL+Pv58/r3+//8u/yT+0/5l/hb+A/4c/kb+df6q/t7/D/84/1L/R/8N/rb+Yv4e/eP9rv2K/YL9kv2w/dv+GP5X/n3+gP5x/mf+Zv5i/lf+Uv5Y/mH+Xv5P/jr+IP37/c/9rf2a/Y39dP1I/Qv8vfxh/Ab7w/ud+3/7T/sI+rv6efpK+in6Cfne+aL5Y/kt+Pz4ufhd9/v3qfdg9wf2l/Yn9dP1nfVx9UX1J/Uj9Sf1C/S79Evz4vOW81XzDPK68nDyMvHw8aPxVvEY8OHwo/Be8CTv/e/k78rvqu+E71vvPO8t7yXvC+7i7tHu+u9M75DvpO+c75zvru/H79vv4O/C71rucuzo6t3o1+eJ51XoAOjy6cTqgOtN7Bjso+zZ7Obs/+0p7U7tYe1p7W3tb+1s7Wjta+197aPt2O4P7kDuce6k7tXu/+8s72bvqe/k8A/wN/Br8Kvw7fEq8Wfxp/Hq8i7ycPKu8ujzKPN088b0EfRU9Jn06fU/9Yj1uvXa9fH2C/Yr9lP2fvap9tP2//cs91b3evec98P38Pgj+Fj4ivi6+O35I/ld+Zn50voI+j76d/qy+vD7Lvtr+6n76/wz/H78y/0Z/Wf9sf31/jD+a/6o/uf/I/9g/6L/6wA3AIUA1AEkAXABtwH9AkIChgLFAwIDRQOIA8MD9wQuBG4ErQTkBRoFUgWGBbEF3AYUBlUGjQa8BvAHMQdqB5QHzwhCCOgJkgoaCncKlwpfCeYJmQnuCtwLwQvzC1YKZAmtCWcJawmGCaMJwwnkCgEKFwoqCjsKRQpLClQKZwqBCpwKtQrcCyMLjwwEDEoMQAwCC9wL/QxIDHEMZgxnDLkNRg2mDYQM5QwcC3QLCQrQCq4Kkgp3Cm0KgAqpCtEK4grbCsgKuQq5CscK1wrcCtMKygrLCtYK3QrbCtUK1grhCvYLCQsSCwwLAwsGCxoLMgtAC0ILPws7CzQLKgsfCxMLAwruCtYKvgqkCoMKWAorCbgJkgl/CXcJcAltCXMJiAmiCbEJogltCRoIwwiDCGoIbwiBCJEIlgiOCH4IawhXCEEIKggdCCAILwg7CD0IPwhMCGUIfwiQCJMIjQiDCHgIYwg6B/4HvgeOB2wHSgclBwoG/wb3Bt0GtAaKBmkGSwYpBgMF2wW0BYwFagVOBTMFGQUEBPkE7gTVBK0EgQRcBD4EKQQfBB0EGQQSBBoEPwRuBIMEbwRPBEIETQRaBGQEewSoBNUE5ATRBLYEpwSbBIQEXwQ6BBgD9QPPA68DmgOIA3UDagNrA2wDXQNAAyYDGAMMAvMCzQKgAnQCTQIyAiUCHwIYAgUB6AHDAZsBdQFUATUBGAEDAQABDAEWAQoA4wC0AJQAiwCMAIEAZwBQAEsATwBMAEAAPgBSAG8AfQB0AFoALv/r/5T/Qf8K/vL+7P7j/tD+tf6a/nz+V/4o/gH98P3x/fP98P32/hL+Lv4l/ej9if0j/MX8cPwd+8b7bfsa+tH6gfog+bn5aPky+Pv4svho+D74Nvgu+A/33/ez94/3avc89wL2vvZz9ij13/WY9Vj1JPTw9Kf0TfP/89TztvOE8z/zAvLW8qXyYvIX8dHxgfEa8KXwPe/k74jvFu6U7h7t4+357izuAO0i68jqmeoR6hjqPupD6jPqK+oi6gHpyOmJ6UrpAeix6GboIefY54nnP+cC5srmieZC5f3lveVx5RDkoeQ149XjgOM94xfjC+MB4uLirOJv4jDh6eGb4VLhHOD54OHg2ODk4QLhJuFB4UbhJuDr4LzgvuDu4R7hJeEF4NngueCn4J7gleB74EjgCt/b37/fqd+O337fht+Y35bfd99R30TfXt+c3+7gQuCH4LXgzuDW4MvgouBX3/zfq99332LfZN9535zfxt/x4B3gUeCR4NzhM+GW4f3iVuKa4tXjGuNs47zkB+RZ5LrlJuWO5e/mTOao5wLnWOeo5/DoLuhi6Izoq+i86LvooOhp6DLoMOiF6SXp3+qP6yzrs+wb7G3sx+0x7YntsO3H7hXusu9j7+DwHvBP8Jjw8fFA8XzxqvHN8e3yHPJs8tDzKvNt86Dz0fP39Af0BfQN9DL0bvSy9Pr1SfWd9ev2MvZ49sT3Gfd49+f4afjy+XT56PpH+or6tvri+x37Yfuh++f8QPyg/Oj9Ef1C/aL+K/65/zv/vgBHAMsBQAGrAgoCWgKdAuYDSQPQBHUFJQW1Bf8GCwYZBmAG2wdfB9MIQAi3CTQJrAofCo8K+wtXC40LnAu2DDsNUg6gD5QP/xA1EIQQzRDGEHMQAw9tDn8NbgzbDTAOHA8AD6AQMBDGETMRUBFDEUMRURFTEUYRQBFFEUwRVhFuEYURhhF0EWkRcRGBEZARpBG9Ec4RzxHHEcQRxhHJEdAR3BHjEd8R1xHXEeAR7hH/EhMSIxIuEkISbxKsEtcS4xLjEu8TChMiEzETPRNNE18TdBOOE6sTxBPZE+YT6RPgE9YT3BPxFAQUChQLFBMUHhQgFBgUERQbFDsUbRSoFNYU5RTdFNwU8xUOFQgU4BS+FMMUxRRoE3USGBC1D4YOhA2wDU4NqA6jD7QQYRCeEKwQrhCVEGIQOxAqEAUPtA9pD2kPnw+pD08Ovw5FDfoNzw3FDdsN5g2zDVcNIA0oDSgM1gxOC+0L0wvRC7sLowuiC6MLhQtMCx0LAgriCrQKjQqBCoIKdApICgIJuQmGCXMJaQlHCRQJCAlHCaUJzgmbCTgI5gi7CKUIjwhxCEwIIwgAB90HsAeAB3AHlQfLB9MHlQc8BwAG5QbJBpwGcAZVBkYGMwYcBgcF8gXTBaQFbwVCBSYFGwUUBQIE3wS3BJoEiAR4BGAESgRBBEEEPgQ1BDIENwQ5BCkECgPvA+AD1QPBA6UDigNwA1IDNAMZAwEC5gLPAskC1ALgAuEC3wLkAu0C7QLhAtMCygLDAsACzQLrAwoDFQMPAwYDAwMAAvcC8ALyAvwDBAMKAw0DEAMTAxoDKgNFA2ADdAN+A4EDfAN3A4ADpAPXA/ID2gOjA4UDpAPmBBMECgPgA78DuAO9A78DvAO6A7gDsQOfA4QDZQNLAzsDLwMgAw0C+wLtAt8CzwLCArcCpAKDAl0CRAI3AisCFwIHAgEB/AHuAdgBxQG5AbEBrAGrAawBpgGUAX4BbAFbAUYBKgEHAN8AsQCCAFkANAAO/+P/tv+H/1n/Lv8M/vH+0v6r/oT+Y/5M/jn+Kf4c/g/9/v3o/c39r/2L/WL9Of0V/Pb82Py8/KH8h/xq/Ej8JPv/+9b7qPt7+1P7MvsQ+un6wPqY+m/6QvoV+e/50fm0+ZD5avlE+R748/jF+Jr4cPhB+A332/ev94b3V/cn9vz21/ay9oz2aPZI9ib1+/XL9Z31c/VI9Rv07vTC9Jj0a/Q49ADzx/OQ813zL/MC8tTypvJ58k7yJPH88dPxp/F48UrxIPD78NvwvfCg8IDwXPA58Brv/u/g777vnu+F73PvY+9R7z7vKe8T7vnu3u7F7rDune6J7nfubO5m7l/uUu5C7jTuLO4n7iLuH+4g7iHuIO4i7ivuPO5P7mDucu6H7pvurO647sTu0O7f7vPvCe8i70Dvau+h79rwCvAy8FrwhvCx8Nfw+/Ei8U7xf/G38fPyLPJd8orytfLd8wDzJ/Nb85rz2fQP9D/0Z/SD9Jz0xPUI9Vz1rvX59kH2hfbB9vf3Mvdy96333vgO+ED4bfiT+Lv47/kn+Vb5evmc+b351fng+eD53vne+ev6DfpG+pT6+Pt1+/38efzg/UX9t/4t/pn/Bv+IAAUANf/a/wT+Bv1A/Of89/05/XL9i/2j/eL+SP6v/vn/Jf83/yv/AP7I/p7+hP5z/m7+if7J/xf/Vv95/3//Yv8j/s7+ff5D/ij+J/49/l/+hf6t/tv/DP8t/y3/Ev71/un+6P7i/tX+z/7S/tX+yv6z/pX+c/5N/ir+D/33/dP9of1u/T/9BPyy/FT8CfvZ+637bfse+tT6mvpt+kv6MPoR+d/5nPlZ+SD44viU+D/38ven90r22fZu9if2A/Xp9cX1lvVr9Uj1IvTo9Jr0SPQD88nzjfNI8wPyxfKJ8kXx/fG78XzxNvDo8KPwcfBP8DDwDu/r78bvo++H727vUO8t7x7vPe9/77vvz++/76zvse/L7+jv/PAG7/3vou6T7KbqSehg56HoBOjq6cLqc+sj69jsbOzM7RXtZO207ert++337e7t5e3V7bntnO2P7Z/txe3y7h/uT+6C7rDu2e8J70nvi+/A7+rwF/BQ8IvwwPDz8S3xcPG58gbyU/KX8s/zCfNR86Tz9PQ89IT01/Us9XP1ofW69c716/YT9kH2bPaS9rj25PcV90L3aveO97H32fgG+Db4Z/iZ+Mz5BflB+X35t/nu+iX6XfqX+tT7EvtN+4f7xvwM/FX8n/zr/Tz9jP3T/gz+QP54/rP+8P8u/3D/uAADAFAAnwDuATgBewG+AgMCRgKFAsIDAwNFA38DtQPuBC8EbwSqBOQFIQVaBYoFuwX5Bj8GewasBuAHGwdPB3YHoQfkCDsImQj/CWwJtgmnCVYJPgnWCwMMEwxYC7gKrQnMCVcJPQlQCXEJlQm4CdYJ8AoICh4KLAozCjwKUAptCo4KsArdCyYLjQvxDCUMFAvdC8QL7gw4DGUMYQxlDKsNJQ1/DW0M7Qw6C5gLJQrgCrYKmQqJCo4KrArUCvMK/gr4Cu4K5groCvIK+QryCt8K0QrRCtgK2wrZCtgK3ArhCukK+AsICw4LCgsHCxILJws5Cz8LPgs5CzILKQsgCxYLBgrvCtQKugqbCnAKNQnyCW4JQgkuCSUJHQkaCSYJRwlzCZAJhglSCQMItwiCCGgIYwhnCG4IcwhxCGgIWAhBCCIIAAfrB+8IAggUCBsIHggoCDgISAhQCFEITghICD4IKQgAB8UHigdbBzYHDAbeBroGrgauBqQGhwZgBjwGHgYFBe4F0gWtBYQFYQVIBTEFGAUEBPgE6wTOBKEEdQRVBD8ELgQiBBwEFQQQBBoEPgRrBHsEYgQ7BCkENARHBFwEfgSvBNkE3QS/BJwEiAR3BFYEKQQGA/ED3wPDA6IDgwNsA1oDUQNQA0wDOgMdAwAC6ALOArACjwJuAksCJwIKAf0B/QH8Ae0BzQGgAXIBTQEyARgA/QDqAOoA9QD2AOAAuQCTAHwAbwBgAEgALQAcABsAIwAoACkAMABBAFYAbACHAKAAmABN/8b/Nv7W/rX+t/62/qL+hP5o/lD+M/4M/ef9z/3A/bD9qf3D/gD+Of46/fP9gf0L/KL8SPv3+6z7Y/sc+tX6ivoz+dr5kflh+TX4+/i7+I34dvhg+Dj3/vfD95T3cfdQ9yL24PaT9kP17vWQ9TT08/TM9KP0ZvQk8/DzwvOD8zjy9/LC8oPyMfHh8Z/xW/D/8JHwJ+/G71/u6O5m7fDtqe2i7bLteOyu64Lqf+oJ6grqJuoo6hrqD+n76dDplOlW6RXoyuh46Czn5uec503nAubB5oPmP+X25bHlcOUp5NTkduQX47rjYuMT4tviu+Kl4obiWeIi4eLhmeFO4RDg5+DL4LDgmOCM4I/goOC+4Nrg2uC34I3giOCw4N/g6uDK4JngceBb4FPgSuAr3/LfsN9+317fPN8U3vje+d8K3wze997i3uzfHd9p37nf/uAw4FDgXeBV4DbgAd++333fSt8t3yXfLN9E323fot/b4BHgSeCH4NHhJeF/4driLeJx4q/i9uNJ46Dj9eRM5KvlDOVo5cHmIOaL5vjnWuet5/LoL+hk6I/oqui26K/oiuhG6AfoCeh06S/p/eq0607rzuwx7IHs3e1L7ajt0+3t7kDu4O+P8ALwOPBn8LfxF/Fp8aXx0/H68hvyRvKK8uLzN/N386nz2fQB9BX0FvQd9D30cvSv9O/1NvWF9dj2KvZ/9tf3LveK9/b4cvj0+XT58/pt+tD7EPs6+2r7pfvk/Cf8d/zM/Q79Qf2J/f/+kf8Z/5AACQCLAQgBdAHWAjUCiALTAywDrgRaBRwFzgZFBmkGXAZlBrQHNQe3CCcIlAkKCYAJ7wpbCskLOAugC+0MBwwIDFwNYA7ZEAcQbRBTEFcQphDaEJIPzw7IDa0Mxwx9DPsN7g7UD4UQKhDTEUwRbxFhEWEReBGDEXURYhFeEWwRihGsEcIRwBGwEagRrxG6EcMR0hHoEfoR/xH7EfkR+BH5EgESDxIbEiESIhIjEiMSIhIrEkESWRJsEoQSrxLiEwETBRMFExUTMRNHE1ITXBNvE4YTnROzE8oT3xPwE/kT9xPuE+kT7hP9FAoUFBQfFCsUMRQtFCUUIhQpFEAUcBSwFOgU+xT0FPUVERUrFSAU+BTpFQYVDBSSE3AR8xCOD3IOiA3TDZsOIA8xEDcQwhDeENoQ2hDEEIwQVhA3EBYP2g+oD7YP9BALD78PMQ6tDlgOJQ4BDdkNoQ1jDVkNsA4uDkoNuAzKDBQL0AvEC68LlAuRC5oLjAtnC0QLKQsBCswKrAq8CukK/wrXCm8J8QmaCYYJkwmACUIJIgldCc4KCgnXCWMJBQjgCNkIxwidCGYINwgZCAcH7wfLB6sHoweoB5kHbgc7BxYG+wbWBqYGewZcBkUGMQYhBhgGDQX0BcoFkwVcBTcFKgUrBSEE/wTTBLUErQSrBKAEiQRvBFsEUgRWBGQEbwRnBEoEJgQNBAAD9APeA8ADoQOEA2kDUAM8AyUDBgLpAtwC4gLsAuwC5wLqAvQC+gL4AvgC/AL8AvQC7gL1AwMDBgL6AvAC8gL7Av4C+QL0AvUC+gL9Av4C/gMAAwoDIgNCA1sDYQNdA2QDfAOZA68DxQPpBA4EDgPeA6UDngPPBAcEEgPuA8QDsgOzA7cDuQO+A8QDxAO2A50DfgNiA00DPgMuAxwDCwL7AukC1QLFArkCqQKKAmUCSgI8Ai8CGQIDAfYB7AHbAcEBrQGjAaEBoAGfAZkBiwF1AV4BTQE/ASsBDQDnALwAkABnAEQAI//+/9T/qv+C/1z/Nv8R/uv+xP6d/nv+Yv5O/j3+MP4n/h3+Df32/dv9vf2b/XT9Tv0t/Q788PzT/Lj8nPx8/Fr8N/wT++r7vPuR+277Ufsw+wn64Pq5+pL6Z/o6+hT59PnV+bH5iflh+Tf5DPjf+LX4jfhg+C/4Avfd97v3lvdt90f3I/b/9tn2tPaR9mn2OPYB9c31oPV09UP1EfTh9LT0hPRR9Bvz4/Or83TzQPMQ8uLytvKJ8l7yNPIL8eLxt/GL8V7xNPEN8OrwzfCv8I3wZ/BB8CLwB+/t79Dvsu+Z74XvdO9j70/vOe8h7wnu8O7X7r/uqe6V7oXue+517m3uXu5L7jzuMu4q7iPuIe4k7inuKu4u7jruTu5j7nXug+6R7p7uq+667sru2+7w7wjvIu89717vi+/D7/rwKPBP8Hjwo/DJ8OrxDPEy8V3xjPHB8fnyLvJc8ojyt/Lj8wjzL/Ni857z1/QI9DT0WvR49Jb0xPUK9Vr1p/Xw9j32ifbM9wf3Q/eA97b35fgS+EP4cvic+Mz5CPlE+XT5nfnK+fz6JvpA+kz6UPpO+k36Vfpr+on6tPr2+1D7tvwe/In8/f1z/ej+af8A/4r/wv90/qr9sPzv/Lf9CP2M/dX9vf2K/Zr+Bv6W/wf/Q/9c/2b/af9p/17/N/73/sL+wv78/0b/d/+D/3v/a/9P/yL+7/7J/sX+5/8e/1L/dv+Q/6//0P/g/9P/tP+b/5H/iv93/1z/Qv8x/yP/Ef75/tz+uv6X/nv+ZP5A/gH9tv19/Vz9NPzr/I38PvwI+9L7i/tA+wf63Pqv+n36Ufor+fn5s/lp+Sv49/i6+HP4Kffd94T3HvbB9oP2ZfZR9i/19vWw9XD1QPUU9Nv0k/RN9Bbz6PO183rzPvMB8sHyfPI58ffxrfFc8Q/w1PCo8IHwW/A48Bbv8+/P76zviu9t72Xvgu/A7/3wFO/+79fvwO/F79fv7PAN8DnwL+9v7a3rQOkZ6AzoN+kN6e7qo+s/69PsUOyw7QftZu3D7gPuGu4W7gzuBO3z7dDto+2H7Yztqe3Q7fvuLe5i7pHuu+7v7y/vau+W777v9PAz8GnwkvC88PfxQPGR8ejyPvKI8sDy8vMw833zzfQY9GP0tfUI9U71fPWY9a/1zvX49iX2TfZx9pj2xvb39yb3UPd295v3wPfq+Bj4Svh8+LH46Pki+Vv5k/nK+gH6Ofpz+rD67vso+1/7m/ve/Cb8bvy7/RD9Zf2t/eT+E/5F/n/+vf79/z//hf/OABkAaAC2AP8BQQGBAcQCBwJGAoQCwwMDAz8DdwOyA/MENARyBLAE7wUqBV8FmAXbBiMGYgaZBs0HAgcxB1gHhAe2B+QIDghJCJsI3AjkCNUJHgoCCzwMJgxEC6EKqwnTCUsJFAkWCTYJYAmGCaYJwgndCfcKCgoWCiIKOwplCpcKxwr8C0MLnAvrDAoL7gu9C64L2gwiDFIMXAxnDJ4M+g1DDUQM8QxqC9oLXgsECs8KtgqzCsQK4gsACxQLHgskCyoLKwsrCywLJwsWCvwK6QrlCukK6grnCucK5wrgCtkK3grwCv0K+QruCvILCQslCzcLPgs9CzcLLQshCxMK/wrjCsMKogp9CkgKAQmyCTAJBgjxCOoI6AjqCPcJFwlBCWAJWgkrCOcIqgiACGUIUQhECEIITAhVCFYISQgvCAkH3gfBB70HzQfgB+wH8gf6CAQIDAgQCBUIGwgaCBAH+AfRB58HbAdBBxgG5wauBn8GagZrBmwGXwZBBh0F/wXsBeAFzQWqBX0FWAVCBTAFGgUFBPcE5wTGBJYEagRNBDsEKgQcBBYEEgQQBBoENwRZBGIERgQdBAcEEAQoBEgEdASoBMsEyASmBIMEbARUBCoD+APWA8wDyAO1A5EDawNQA0QDQwNCAzMDFQLwAs4CsQKSAnICVwJCAioCCAHmAdMB0gHWAcwBqQFzAT8BHgEOAPwA4ADFALwAwQC/AKgAiQByAGMAUAAyABL/+f/q/+X/6P/yAAYAIAA4AEoAZQCdAOcBCQDHAB//Vv7E/oj+h/6L/nr+V/40/hj9/v3i/cX9qf2K/Wv9Y/2P/ez+RP5X/hX9nP0W/Jj8K/vV+5X7WvsX+s76hvpB+f35wPmT+W75RvkY+O34zvix+In4TPgC9733iPdf9zH28vap9mD2DvWm9Tj04/Sz9Iz0VfQU89zzp/Nl8x3y4PKu8nDyIfHT8ZPxT/D18IzwIe+270Luyu5W7erti+1H7Rfsx+wi6zzqcuoN6gLqEOoP6gPp8+nW6aLpZOkl6OPolehB5/Pnqudf5xHmxeaA5j7l+eWy5W3lKuTk5JjkROPt45bjP+Lt4qficOJH4iPh++HK4Y/hTOEM4NzguuCf4IDgXuBA4CrgKOBF4HTgkOB/4FTgPOBQ4HbgiuB+4GHgQuAq4BzgC9/p367fa9823xDe5t623pHehd6E3n3eb95y3pbe2d8o327foN++38nfw9+q34LfU98p3wje897n3uje998X30vfi9/J3/zgLeBq4LfhDuFk4bfiB+JQ4pPi2+Mt44jj5eRB5Jrk8OVD5ZvmBOZ75vLnWeer5+/oLOhj6I7oqOix6KLocegi59zn5Ohd6SnqBOrD62Lr5exK7J3s+u1s7dPuEO477o/vHO+v8A3wP/B58NbxPfGN8cHx7fIZ8kPyb/Kq8vTzP/N786zz2PP99BT0H/Qy9Fn0jvTF9Pz1PfWK9d72NfaS9vH3T/ew+CD4mPkK+XX57/qB+xD7dvut+9P8BPw//ID8yP0S/VT9kf3n/mX+9f91/+QAVgDQAT8BoAH+Al4CtgMIA24EAwS+BX4GGgZzBosGiQarBwsHiwgDCG8I4AlXCcgKNQqlCxcLgQvoDD8MXQw+DFMNMA7HEDgQthBvEDwQhxDXEIIPcw4iDQcMYQxVDOoN3Q7ID30QFBCmERgRTBFXEWgRiBGcEZYRhhGFEZoRuhHaEewR7hHqEewR8hH2EfcR+xIIEhcSIhIqEi8SMBIuEjESPhJPElwSZBJkEl0SWhJoEoYSoxK5EtAS8xMXEycTJhMpEz0TVhNmE20TehOQE6kTvhPRE+cT/hQOFBEUCxQFFAYUDRQTFBcUIBQvFDcUNBQpFCQUJBQpFDwUbRS1FPIVCBUIFRcVPBVSFTsVEhUOFTIVJhSDEz0RtxBbD0gOZw3NDcoOhQ+qEJkQ+BD3EPcRFBEhEPsQuBB5ED0QAA/gEAYQWxCIEEoPtA8VDqYOZQ4xDe8NoQ1zDacOSw76DxUOWw0zDEkL5gvQC7kLlwuLC5ALjQt7C2sLYAtBCwoK4ArrCyULWgtICtwKQgnPCbMJywnBCYIJWAmNCf4KNAnvCWcJBAjrCPII4gi0CH4IVghBCDUIIgf8B8oHnAd4B10HRgcyBxsG+gbRBqoGigZuBlEGOwYuBigGHwYNBfEFxgWOBVsFPwU3BSwFDQTmBM8EzQTQBMUEpwR/BF0EUwRlBIUEmASPBG4ERwQrBBoEDAP7A+IDxQOnA40DdwNjA0kDKQMIAvQC8QLzAvIC7QLwAvgC/wMEAw8DIQMpAxoDAALvAu4C7gLlAtsC3wLzAwQDBwL/AvgC+AL7Av0C/AL+Aw4DMQNdA3wDfgNwA28DjAO2A9ED4QP8BCUEOAQWA9cDuAPTBAIEEgP7A9wDzwPKA78DsQOwA70DygPIA7YDlwN2A1oDRQM0AyMDEgMDAvAC2gLGArYCpQKKAmkCTwJDAjgCJAIMAfkB6QHTAbcBnwGTAZIBkQGMAYEBbgFXAUMBNQEmAQ8A7ADDAJgAcgBRADUAFf/u/8H/mf93/1j/Nf8M/t/+tf6S/nj+ZP5S/kP+Ov40/ir+F/3//eT9x/2m/YT9ZP1G/Sj9Cfzr/ND8s/yU/HL8UPws/AP71vuu+477cftR+yr7APrW+qv6fvpT+iv6Cvnp+cb5ofl6+VT5LfkG+OH4vviY+HD4Sfgn+Aj36ffG96L3e/dR9yP29fbJ9pj2XvYi9ev1vvWS9WH1LfT79Mz0m/Ro9DPz/fPG847zWvMq8v3yz/Kf8m/yQvIW8ezxwfGW8WvxQfEa8Pfw2fC78JjwcvBO8DDwFu//7+bvy++x75rvh+9172DvSe8x7xrvAu7o7s3utO6g7pLuiu6E7nnuae5Y7kzuQ+467jLuL+4z7jjuPO5C7k/uY+537ofuku6d7qjutu7I7tvu7u8E7x3vOe9X73nvpu/b8A3wOPBh8Izwt/Da8PrxHvFI8XTxoPHQ8gXyNvJh8o3yvPLq8xPzPfNt86Hz0fP89Cb0T/Ry9Jb0yfUQ9V71pfXq9jb2hvbP9xD3TveI97n35vgX+Ez4ffiq+N35GvlV+YP5rPng+hv6T/p4+pf6r/rA+tD64vr1+vz6+fr8+xf7SfuI+9D8I/yC/O39af3r/lP+dv4+/bP9BvyN/Jj9M/35/l7+Kv2t/W79qP4y/sT/Of+W/+MAIwBLAEkADv+v/2L/Vf99/6b/qf+O/3v/g/+Z/6X/nf+R/5z/yAAEADAAPAA6AEMAXQB2AHwAcQBgAEkAJ//1/7z/iP9f/0D/Kf8X/wT+7P7R/r3+p/55/in90P2V/Xz9X/0d/MX8evxE/Ar7v/t3+0b7H/rm+pz6W/ot+gD5wPl1+TL4/PjE+IH4N/fr95r3Rvb89sr2sPah9of2U/YJ9bn1ePVD9Qj0wfR89Ez0L/QR8+XzrPNs8yjy4fKa8lTyCPG38WrxK/D48Mrwn/B68FnwNvAQ7+jvxe+t76zvzPAE8DjwRvAp7/rv1O/A77nvvu/c8BLwGO937eLrpOmN6GToW+kO6fbqzOt/7BDsduy37OvtKO1t7aLtuu257bLtru2n7Y/tbO1W7V3te+2h7c3uA+497m/un+7W7xTvRu9q75bv1/Ag8FfwfvCq8OnxNPGC8dbyLfJ58rDy3/MX817zqPPw9Dn0hfTQ9RL1RvVt9Yz1q/XP9fT2GfY/9mz2n/bS9wD3K/dV93/3qPfV+Ab4Ovhs+J340PkF+Tr5cPmn+eD6GPpT+pP60vsL+z77dfu0+/r8Q/yQ/Ob9Ov1//bL93v4Q/kv+i/7M/w3/Uf+X/+EALQB5AMEBBAFEAYUBxwIHAkYChgLGAwMDPQN5A7kD+gQ5BHcEtgTzBS8FbgWyBfkGOwZ5BrMG5gcQBzkHaweeB8MH3wgJCEMIdAiTCNcJhwqaC5wMBwu7CwEKOgmYCScI6QjfCP0JKQlSCXMJkQmtCcoJ4gn0CgYKKQpiCqkK6wsmC2gLsAvnC/ELzAufC5cLwwwGDDgMUAxkDJEM0w0NDR8M+wyjDCULngswCvEK4ArsCwQLHQswCzsLRgtVC2ULagtlC10LUgs+CyMLDQsECwQLAAr5CvIK6graCsoKywrdCuwK5grXCtkK9QscCzoLRwtHCz8LMQsfCwcK5gq8Co8KZAo3Cf8JuQlvCPsI1gjCCL8IyQjYCOkI/QkYCS0JKgkFCM4Imwh2CFcIOQghCB0ILQhCCEsIQQgmB/wHywemB5kHowezB70HwQfHB84H1QfeB+oH9gf5B+4H1ge3B5EHaAc+BxEG3AafBmgGRgY7BjsGNgYjBgQF5gXUBcwFvQWcBXEFTwU9BTAFGwUEBPIE3gS7BIsEYARCBC0EGwQOBAwEEQQUBBoEKgQ8BDsEHAP1A+ED6gQGBC0EXQSNBKgEoQSDBGYEUQQ1BAgD1AOzA6sDqwOcA3gDTwMzAy0DNAMxAxUC5wK5ApcCfQJgAkMCLQIgAg0B7QHHAa0BpwGqAaQBgwFLARUA9wDvAOAAvACSAH4AfwCAAHAAWgBNAEMALgAN/+7/2f/J/7n/r/+2/9D/8gALABoANQB7AOEBKwEMAHP/n/7s/ov+bv5n/lT+Lf3+/df9uv2l/ZL9d/1P/SP9GP1P/cH+Mf5c/iz9vv01/Kn8KfvI+4f7T/sK+rz6efpH+hr56vnB+af5k/l0+Un5G/jz+Mj4jvg+9+T3lvdY9x723faY9lX2CfWm9Tn04PSo9Hf0OPP087nzhPNH8wjy1PKn8m7yJfHb8ZTxRPDk8H7wF++n7yzuu+5f7f3teezm7GvsCuuY6wLqb+oX6f3p++n26enp1Omv6XbpNejz6KzoW+gH57jnbeci5tXmiuZD5f3lueV15TDk6uSj5FnkDOO642fjFOK/4mriIOHo4b/hmeFs4TfhAeDQ4KrgiuBs4EvgJt/939ffyd/m4CDgSeA94Arf3t/Z3/HgDOAb4B3gFOAB3+rf1N+z34DfRN8M3trep95z3kreL94Z3gPd/d4Z3lPel97S3vvfFd8g3xzfB97j3rjemN6L3ozelN6e3rHe0N7+3zffc9+n39Df/OA+4Jbg8+FJ4Znh6uI54oHixuMU43Hj1OQz5Ink2+Uw5ZLmBOZ95u/nUuel5+roJ+hb6Iboouin6IzoS+f157rn1uhe6TDqC+rK62vr8+xg7LntFe2D7e7uO+517sXvOO+u8APwQvCR8PvxY/Gq8dXx/PIq8lzyj/LH8wjzS/OI87vz5vQI9B/0NvRZ9I70x/T79S/1bvW49gn2Xva79xz3fvfo+GP44/lO+aX6DPqi+0371Pwf/Er8d/yu/On9Kf1t/a/98v5K/sL/SP/CAC8AnwERAXYBzwIrAosC5AM4A6EEMwTeBX8F+wZJBnQGngbrB14H2ghHCLEJJgmfCg4KgAsBC3wL2QwlDG4MhwxTDDsM9w6hEE0Q8RCZED4QehDTEHoPVA4CDRoMvQzcDXAOVA8yD8UQFRBVEJ4Q4REYEUoRexGdEakRrhG9EdYR7hIAEgsSEhIZEiESKRIuEi8SLxIvEjMSPhJPEl4SZhJnEmoSdRKFEpQSmxKWEpASlRKuEs4S5hL3Ew8TMBNKE1ETThNXE2wTfxOFE4sTnBO3E88T3hPtFAUUIRQzFDEUJhQgFCYULxQwFC4UMxQ+FEMUOxQzFDIUMxQ0FEUUehTEFP0VExUdFTsVZBVuFU0VJhUnFTkVBBQ8EvIRgRAzDxkONg2/DfkO4hAEEMkRABDxEPwRMRFYEUQRARCxEGQQIhAEECUQchCeEGoP3Q8/DswOig5YDhgN0g2xDeYOcQ72DvQOOg0gDD4L3AvLC8ALqQucC5wLlguHC4ILjAuEC1QLEgr3CxoLWgtwCyoKnQoeCe4J+QnyCbwJlgnFCiYKSwn4CW0JDgj8CQUI9AjHCJsIgQhyCGAIQggUB9cHlAdbBzYHJwchBxIG9QbXBsEGrwaTBnAGVAZFBjgGJAYPBgEF7AXCBYwFYAVFBS4FEQT1BOcE5ATfBM4EsQSMBGoEXARuBJEErQStBJUEcQROBDMEIwQXBAQD6APIA6wDkwN7A18DQgMpAxcDDQMJAwYDAwMDAwYDCgMSAyIDOQNEAzIDCwLuAuoC8gLxAuMC3wLvAwcDEwMOAwMDAgMJAw4DDAMMAxsDPwNxA5sDqgOiA5gDnAOoA60DrwPEA/EEFwQTA+8D2QPqBAgEEgQIBAQECwQEA+EDtgOjA64DxQPRA8gDrQOIA2UDSwM5AykDGQMJAvkC5QLPArwCqAKPAnACVwJLAkICMQIZAgIB7QHUAbUBmAGGAX4BeQFxAWIBTwE6ASkBGwEMAPMA0QCpAIMAYgBFACgABP/Y/6r/gf9i/0b/J/8A/tb+r/6R/nz+a/5b/k7+R/5B/jX+If4J/e/90f2w/Y/9c/1Z/Tz9Hf0A/OX8yvyu/I/8bfxI/B/79vvR+7D7kPtt+0T7GPro+rn6i/ph+jz6G/n9+d/5wfmj+Yb5aPlJ+Sn5Cfjo+MT4nfh2+FL4MfgP9+f3uveI91L3Hfbq9rT2efY99gn13fWz9YP1UPUd9Ov0t/SA9En0FPPe86nzdvNI8xzy7PK48oPyUvIk8fnxz/Gm8X3xVPEu8Q3w7vDM8KbwgfBh8EbwL/AX8ADv5+/M77Pvne+J73PvWe9A7yjvEe727tjuvO6o7p7ul+6P7oLuce5j7lvuVu5P7kjuRu5K7k/uUu5X7mHuce6B7o7umu6l7rHuwu7X7uzvAO8W7zDvTu9t74/vt+/l8BHwOvBl8JPwvvDi8QLxKvFZ8YbxsfHh8hXySfJ28p/yyvL18x/zS/N786rz0/P79Cb0U/R79KT02vUh9W31svX09jv2hvbM9w73T/eK97v36fge+Fj4jfi9+PL5LPlj+Y/5uvnv+in6XfqL+rj64/sJ+yv7UPty+3/7dPth+1n7YPtw+4j7q/vk/DH8ivzZ/QX9CPzp/K78Y/w0/Gf9GP37/oj+df35/Y79f/3K/kv+6/+dAEsA1wEoASwA5gCAADQAJAA2ADUACv/S/7b/x//zABwAMgA8AFIAgwC/AOMA4QDLAMMA2QD+ARgBGgEDANQAkQBE//j/t/+D/1z/RP83/yz/Hf8N/v7+5/6x/ln9/P3A/af9iv1N/P78vfyO/Fj8D/vJ+5L7WvsJ+qn6Xfo0+hb55Pmf+Vb5FfjW+JL4Svf/97D3Zfcs9w33Avb59uL2s/Zq9hL1ufVr9SL02/Se9Hb0YfRM9Cjz8/Oy82vzIfLX8o7yQvH18a3xcPE+8RLw6/DH8KPwfPBQ8CTv/+/p7+7wEvBG8GnwZfBB8BTv7e/K76vvne+17+nv8e9i7gDsBeoT6M3odujm6cXqxuuz7GXsy+zv7Pbs/u0W7TLtQe097TPtMO0x7SrtG+0Y7SvtT+137abt4O4g7lnuju7H7wDvKu9K73rvxfAV8FHwgPC48P3xQ/GE8cryGfJi8pzyz/MI80rzjfPO9BD0U/ST9M/1CPU99Wj1jPWr9cn16fYQ9kL2evat9tf3APct91z3i/e89/P4Kfhc+Ir4ufjr+R/5VfmP+cj6Afo9+n36vfr0+yT7VfuR+9T8Gvxm/Lb9Av1B/XP9of3X/hX+Vv6V/tX/GP9d/6P/6wAzAHoAvgEAAUIBhAHGAggCSgKLAsoDBgNCA4ADvgP9BDsEegS5BPgFOwV/BcMGBgZKBooGwAbqBxUHRQdzB5kHwwgCCE0IiwjMCVAKOgtDC9oLqgroChcJhQkqCOcItwiuCMkI9QkeCUEJYQmACZ8JugnSCe0KGgpiCrsLDgtRC4sLvwveC9ULrAuHC4oLuAv3DCYMQAxXDH4MswzpDQsNCAzQDF8L0QtWCxULDQskC0ALVQtiC2kLcwuDC5ALkguGC3kLbgtfC0gLLwsgCxgLDgr/Cu0K3QrOCsUKzArgCu4K6ArZCtwK/AspC0sLVgtQCz4LJQsHCuEKsgp5CkAKDAnbCaUJaQkuCM0IrwidCJ4IsgjOCOMI7wj7CQcJBgjrCLwIighhCD8IIQgMCAsIHgg0CD8IOAgeB/QHwgeaB4sHkgeeB6EHnwehB6kHtgfGB9cH4gfiB9QHwQetB5UHcwdHBxYG4AaoBnEGQwYmBhgGEQYGBfAF1QW/BbIFowWHBWMFRwU3BSsFFgT8BOQEygSoBH0EVQQ3BB8ECgP9A/0EBQQLBA4EFAQYBAsD6wPKA7wDywPsBBcERARqBHoEbwRWBD8ELAQRA+cDuwOcA5EDjAN7A1YDKgMMAwYDDAMFAuECrQKBAmUCUAI3AhwCCQH9AewBzQGoAYwBfwF8AXQBVwEnAPgA3QDTAL4AkQBeAEYASQBOAEIALwAkAB4AE//+/+r/1//A/6X/kf+J/4r/h/9//3z/lv/iAFkAxQDjAJD/7v9B/sH+eP5T/jP+Bv3O/Zn9df1k/Vn9Qv0V/N/8yPz5/W/98P4z/hv9v/1C/Ln8NfvL+4L7Qfr0+qP6afpI+iv6A/nf+dD5zPm2+X75Mfjq+LH4d/gr9873c/cp9ur2q/Zn9h/10PV19Rv01fSi9G70KvPk86nzdPM68v3yyfKa8mDyGvHT8YfxLfDG8GPwAO+O7xDuqO5e7f/tWeyJ6+PrietL6u7qeeod6fTp6enh6c/psumE6UjpBOi+6HLoIOfM533nMebm5pvmUuYJ5cHle+U35PPkq+Rk5Bzj0+OG4zfi5OKI4iXhzeGM4WHhPeEU4OfguuCS4G7gS+As4A7f69++35Hff9+d39rgBt/538DfiN9x33jfj9+s38ff0t/H37Hfm9+C317fLN7y3rXed95B3hrd+N3Q3a3drt3g3ijeX95z3nLebd5r3mLeSt4j3frd5d3u3g3eNN5b3ojevd703yffUd9z35TfxOAQ4HLg1eEs4X3h0OIj4mzir+L841vjwuQk5Hzk0uUz5aHmGOaL5vLnTueh5+noI+hQ6HfolOiU6GjoGefL57Dn7eiF6VDqHurU63Hr+exp7MPtGu1+7eXuO+6D7tHvMu+Z7/fwUPCz8SDxgPHB8efyCPIz8mjyofLc8xvzXvOi8+H0E/Q39FD0bvSc9Nn1F/VP9Yb1xfYL9lX2o/b99173wPgp+Kj5M/mo+f36Wfrk+4/8I/yB/Lr87v0l/Vf9iv3H/gv+Uf6l/w//h//8AGoA2wFLAbACCQJiAr8DFANoA9AEUgTdBVYFuwYTBmYGwQcyB7IIKQiOCPUJawnhCk0KxgtWC9cMIgxNDH8MlgxfDC8Myw5wEDsRBhC5EE8QghDtELsPyg6/DicOCA41DqsPaBAgEHkQaRA8EDwQchDCERYRXRGREbMR0hH1EhQSJxIuEjQSPhJGEkkSThJaEmgSaxJjEloSXhJvEoMSkRKbEqQSsBK9EscSyhLEEsIS0RLuEwcTFBMiE0ATZxN9E34TfBOKE58TqROoE68TxhPkE/kUBBQQFCYUQhRUFFEUQRQ4FEAUTRRSFE0UTBRRFFUUVRRWFFgUURRLFF4UmBThFRIVJRU3FVgVdBVvFVMVQxVJFTMUvxPWEp4RTxAHDtgN9g2xDjEPNRA1EMYQ6BDoEQMRNRFTEUERCRDCEHwQOxAOEAkQJBAzEAkPpA8xDtwOqQ58DkUOCw3oDfAOHQ5BDhcNfQymC/gLrgutC7YLsQutC6wLoAuIC4ALkwuhC4ALMQrwCvILNAtzC2UK/Qp5CiUKDAn7CdQJvAngCikKQAn5CYYJOAkkCSAJBgjcCL0IsgitCJoIcQg1B+sHnQdWByIHBwb9BvoG+gcCBwwHAgbYBp8GcwZaBkEGHgYCBfoF9wXgBbIFgAVXBTQFFgUFBQAE+gTqBNcExgSyBJcEgASABJcEsQS8BLEElQRwBE8EPAQwBBsD+APRA7EDlwN8A2MDVANMA0QDOwM0AzMDMQMrAyUDIwMrAzwDUQNaA0gDIQMCAwADEQMXAwcC9gL7AxMDJQMlAxwDHAMmAy4DKgMkAykDQANlA44DrgO5A68DlQN1A1gDTQNjA5YDygPlA+oD8QQDBA8ECgQJBB8EPwRABBMD0wOsA6kDugPJA8oDuQOZA3UDWQNHAzgDJwMWAwUC8gLbAsUCsQKaAn4CZAJSAkUCMwIcAgQB7wHWAbgBlwF9AW0BYQFVAUYBMwEgAQ0A/QDsANUAuQCaAHkAWQA5ABb/7f+//5L/av9K/zD/Fv74/tX+s/6Z/of+ef5r/l/+V/5P/kL+MP4b/gT95/3D/aD9g/1p/U39Lv0R/Pb83fzD/Kb8hfxe/Db8EPvu+8z7qPuB+1f7K/r9+s/6pfqA+l/6QPom+g/5+fni+cz5tPmZ+Xn5V/k1+Q/45Pi1+In4Yfg5+Az32fei92r3NfcD9s/2mPZi9jD2BfXa9az1efVF9Q/01vSa9F/0KPP188LzkfNi8zbzBvLR8pvyaPI68hDx6fHC8ZrxcfFN8S7xDvDp8L/wmPB88GbwUPA38BvwAO/k78nvsu+c74PvZu9K7zLvGe797t3uwu6w7qfuoe6Y7orueu5u7mjuZe5h7l3uXe5j7mjuae5p7mzuc+597orumO6n7rfuye7e7vTvC+8j70HvYu+D76Pvxu/r8BLwOPBj8JPwwPDk8QfxMvFj8ZLxvfHs8iLyWvKM8rby3PMB8yjzVvOH87Xz3PQD9DD0YfSO9Lv08/U49YH1x/YK9k72j/bM9wv3TfeM98H38/gr+Gn4o/jW+Qj5Pflu+Zr5yfn9+jL6X/qM+r/69Psi+0v7ePum+8b70vvV+9j72fvU+8770vvn/A78OfxV/FX8Rfw6/DT8H/wF/Bz8l/1b/gX+R/4p/ef9uP21/e7+dP9AACsA/gGHAbEBhAEyAPIA2QDOAKsAcQA+ACsANwBUAHMAiwCfAL4A8gEzAWABZwFTAUcBVAFwAYIBdgFNAQ4AwgB0ACz/7/+8/5b/fv9x/2f/XP9R/0X/Kf7r/oz+Lv3w/c/9q/1x/S38+PzO/J/8ZPwn++v7m/sw+sH6dPpU+kH6Hfnf+ZX5S/kH+Mb4hvg89+f3mfdp91/3Zvdg9z73BPa69l/19/WP9TP06/S19I70cPRT9C/z//PE84LzPPL08qvyYfIY8dXxnvF08VfxQPEj8PnwxPCP8F/wN/Ae8CTwTfCE8KHwlPBs8EDwFu/j767vlO+x7/bwG++57pfs2er36XzowOjS6Yfqluuq7H7s8u0S7QPs7Ozi7Ofs6+zl7Nns1uzc7OHs4+zw7Q/tOu1l7Zft1u4b7lnuke7J7vzvIO8/73DvufAD8DzwcPCz8P/xQfF28bLx+/JF8oXyvvL78zrzdvOw8+z0KPRh9Jr02fUa9VT1g/Wp9cf14vYE9jL2aPaX9rv23/cI9zb3ZfeX9874CPg9+G34nvjR+Qb5P/l6+bT56/ok+mL6oPrW+wT7Nftu+6377/w0/Hv8vvz4/Sz9Yv2e/d3+HP5Y/pX+1/8c/2H/pP/oAC0AcwC5AP0BQAGFAcsCDwJSApIC0AMMA0cDgwPBA/8EPgR9BL4FAAVDBYUFyQYPBlAGiQa6BugHEgczB1cHmQgFCH8I4gk5CcMKlQtXC4QK7gn6CTUI1wi1CJgIfgh+CJsIxQjtCRIJNglYCXkJmgm7Cd8KFApmCs4LMwuCC7YL0gvUC7oLkwt8C4wLvgv3DB4MMQxDDGYMmgzUDQINEQzqDIUL+gt/CzwLNgtOC2kLfguNC5cLnwunC60LqQubC4oLfwt1C2ILSAszCyULFgsACucK0wrLCtEK4wr4CwMK/grzCvkLGQtDC2ELZgtSCysK/ArLCpgKYQonCe4JvAmLCVgJIwj0CLEIngiSCJIIowi/CNQI3wjnCPEI9AjfCLMIfQhNCCoIFAgKCA0IGAgiCCQIHQgIB+MHtgeTB4kHkgecB5sHlAeVB6IHtgfLB9sH4AfXB8cHuQexB6QHhQdXByEG7ga7BocGUwYnBggF+AXuBeAFyAWtBZgFhwVzBVkFQAUuBR4FCgTuBNEEsgSRBG0ETAQxBBkEAgPwA+kD6wPuA/ED9APuA9gDuAOfA58DtwPdBAgEMARLBFAEQAQmBA4D+APeA8EDpAOOA38DcQNZAzADAALaAssCxwK4ApUCawJOAjwCKAIMAfEB4gHXAcUBqAGHAW0BWwFNATwBIgD/AN0AxgC0AJQAYAAwAB0AJQAqABwABf/5//sAAQAB//j/4f/B/6P/jv90/z3+5v6S/mn+hf7l/3EAAABfAGoAHv+a/w3+mv5O/hz96/2v/XH9Rf0w/Sj9Fvzp/Kr8gPyc/Qj9kf3p/er9of01/L38SPvh+477Pfrm+pb6Y/pK+i/6BPnd+dH50vm4+Wz4/viT+EP4BvfC9233F/bU9qP2c/Yw9d31g/Ux9PH0xfSe9Gr0JfPg86bzbvMv8u7ytfJ98j7x+/G78XbxHfC28FTv8e957vXuje5F7eHtLOxR67Xre+th6xLqkOod6eXp2OnO6bXpjelX6Rjo0uiI6Djn5ueV50Xm9uap5l/mGOXQ5YXlPeT45LTkbuQp4+Tjn+NW4wnis+JQ4ebhh+FD4RXg8ODI4KDgeeBS4CngBN/o38/frt9930zfOd9X35Tfv9+334ffU98z3yjfLd9E32Tfet97327fYt9V3z7fFN7a3pXeUN4c3fnd1d2i3XTddd2x3f7eJt4Z3fHd0N3A3bjdp92H3WPdU91p3Z/d4N4i3mbeqt7j3wjfG98s30vfht/e4EjgreEH4VvhseIE4k3ikuLj40bjsOQW5HPk0uU85bPmKuaV5vLnSOec5+XoGuhA6GPofuh26D3n7Oe358foIui46WrqJerX63br/Oxm7LztDe1m7cjuKO5/7tHvKu+O7/nwZvDR8TTxifHI8fLyE/I58mzyqfLp8y3zdvPH9Bf0WvSI9Kj0yPT39TT1dfWx9e32LfZv9rH2/PdW97j4Ffhy+Ob5cPn0+lz6wftF++P8cvzY/SH9Yv2Y/b794f4V/lr+pf72/1b/wQAtAJgBCQF/AesCTAKmAv0DUgOtBBgEjQT5BVcFtQYgBpMHCQeHCAgIegjZCTwJrwohCogK/QuLDAkMSQxlDI8Mqwx5DDMMnA4UD90Q0RCyEF4QnBEoEUEQuBATD8oP0Q/2EEAQxxFSEYERNhC2EF0QUBCEEN0ROxGKEcMR9BImEk8SZRJsEnMSfRJ/EnYScxKDEpsSphKdEpASjxKZEqQSsRLBEtMS4BLoEu0S8RLyEvgTChMjEzMTOhNME3MTnROuE6kTpxO2E8cTyxPKE9QT7xQMFCEULRQ3FEcUXRRuFG4UXRRRFFkUbBR1FG0UYRRdFGIUbRR4FHUUZBRZFHQUthT6FSMVOBVQFWsVcBViFWAVexWFFTYUdRNnEkARCA+1DnENow2oDm4PeRBEEKcQ0RD5EScRRBFAESIQ9hDAEIQQRRAID9gPvA+pD4kPUw8YDuoOxQ6WDl8OLg4JDeUNuA2EDUAM2gxcC/ULywvRC9cLyQu3C60LnguCC3ALfQuTC4ELPAr0CukLKwuDC6ALXArXClkKDwnsCdIJwwnVCfsKCQniCZoJXgk+CSUJBQjkCNgI4wj2CPQIxwhyCA4HtAdrBy0G+gbcBuEHDgdRB4MHfgc6Bt0GlAZsBksGJQYFBf0F/gXtBccFmwVyBUoFKwUeBR4FFgUBBPAE7gTqBNMEsgShBKsEvwTMBMcEsQSPBG0EWARHBCkD+gPKA6kDkAN5A2kDaQNxA3EDZwNiA2cDaQNfA08DRwNOA10DbANxA2IDQwMnAyMDNAM9AzADGwMYAy4DQwNHA0ADPwNJA1ADSwM/AzkDOwNHA14DfwOcA58DgANPAysDKANJA3sDqAPIA+ED/AQQBA8D/wP+BB8ETQRcBDwEAgPTA7oDswO2A7wDuwOoA4gDawNYA0kDOAMkAxAC+gLhAskCtQKhAokCbgJWAkICLAIVAgEB8AHdAcIBoQGCAWoBWAFJATgBJAEOAPcA4gDPALsApQCMAG8AUAAuAAj/3v+x/4T/Xf89/yX/EP75/t3+vv6l/pb+jf6C/nb+a/5g/lL+Q/4z/iD+Bf3g/bv9m/1+/V/9Pv0f/QT86fzQ/LT8k/xs/EP8IPwB++H7vPuW+3D7Svsj+v/64PrD+qT6hvpt+lj6Q/or+hL59/nY+bT5jvln+T/5Efjf+K/4gvhW+CX37/e394L3UPch9vH2wPaN9lr2K/X99c71nPVp9TH09vS29Hn0QvQP893zq/N680vzHPLr8rfyhvJY8jDyCvHl8b3xlPFw8VLxMvEL8N/wufCf8IzwdvBa8DnwF+/479zvw++q743vbu9Q7zbvHe8A7uPuyu667rHuqu6h7pXuiO597nfudO5w7m/uce537nzue+547nXude567obumO6r7r3uzu7h7vbvD+8r70zvce+V77Tv1O/18BjwO/Bl8JPwv/Dn8QzxOPFq8ZrxxvHy8ibyX/KW8sXy7PMN8zHzXfOP877z5/QP9D30bvSg9NP1C/VM9ZH11/Ye9mL2nvbU9w73UfeS98z4APg6+Hn4tvjq+Rr5Sfl1+aL51foL+jz6ZfqP+sL69/sn+1L7f/uu+9j7/vwi/EH8UvxU/FH8Uvxa/GX8b/x0/G38ZPxl/Gj8U/wb++78B/x3/RH9mv31/h7+Gv36/ej+Gf6l/3gAXwEdAYkBnQF+AVcBNwENANUApQCVAKAArwC4AMEA0ADlAQIBMgFwAaQBuAGxAagBrAGzAakBhgFSARYA2gCgAGgAMQAA/9r/wv+z/6X/lv+L/4D/Yf8d/rv+XP4a/e/9xP2N/Vf9Kv0C/Nb8q/yA/Ef75/tm+ur6mfp2+mL6QPoJ+cT5fPk3+Pz4w/h7+CH3zPei96n3vvez9373N/bx9qP2PPXB9U/0+/TA9JH0Y/Q49BLz6vO684LzRPMB8rvyc/It8ezxt/GW8Y3xi/F28ULw/vDC8JjwdfBa8FjwfvC48N3w2PCy8IHwSPAC77nvku+x8AvwX/BF73Pt7uwR6l7pROj16WHqSetQ7CbspOzR7M3sueyr7KnsrOyt7K3stuzE7NDs2ezs7RDtPu1u7aPt4u4n7mbun+7W7wXvJu9D73Hvre/j8AvwOvCA8M7xDvFC8YDxzfIb8mDyofLj8yHzWPOP88v0BvQ+9Hn0v/UK9VH1kPXH9e/2CfYh9kP2bvaV9rP20vb29x73Rvdz96j34PgX+E34g/i6+PD5Kflj+Zz50PoE+j36dvqq+tr7DvtI+4X7wvwA/ED8fvy3/PD9LP1r/aj94f4Y/lP+lP7Z/x3/YP+i/+YALgB1ALsBAAFIAZAB1QIZAlwCnALYAxEDSwOIA8cEBQRDBIIEwgUDBUUFiQXMBgkGQwZ7BrEG2gbzBxcHbAf8CJwJFAlgCbMKKwqLCncJ3AkTCIkIWQhUCEwIQwhPCHEImgjBCOcJDQkxCVYJfgmrCdsKFgpsCt8LVwu1C+UL5wvLC6ILggt6C5ILwgv0DBQMIAwrDEkMgAzADPUNDgz3DKYMLQu5C3MLYQtuC4ELlgurC7sLwQvDC8QLwQu0C6ELkguFC3ULXAtFCzQLJgsSCvkK5wrkCvELBAsTCxcLEQsOCxoLOQteC3YLcQtKCwcKugpzCjcKBAnYCbIJjQliCS0I9wjMCLAIqwilCJ8IogivCMAIzQjZCOQI6AjZCLEIewhICCUIGAgYCBkIEggHB/wH8wfjB8QHoQeLB4wHmAefB5sHlgedB7AHyQfeB+kH6AfaB8oHwQe/B7cHmwduBzkHBAbPBpkGYgYwBgcF6wXaBcsFtAWWBXwFbgVkBVMFOwUjBQ8E+wTgBL8EnQR7BF0EQwQuBBkEAAPoA9YDzgPNA9ED0QPCA6UDhwN7A4oDqwPTA/sEHgQzBDEEGwP6A9kDvQOnA5gDjgOCA3IDWgM4AwoC1AKlAogCdQJfAkICKwIiAhkCAQHdAcMBuAGxAZ4BfwFjAU4BOwEiAQYA6gDQALoApgCNAGQALwAF//kAAQAE//X/3//V/93/7v/7//f/2v+z/5n/jf9m/vf+Rf2Z/UX9a/3u/pz/Sf/XACkAKf/V/0j+t/5M/g393v2m/Wf9Mv0T/QP88PzH/Ib8TvxR/Kz9N/2l/b39hf0o/MX8Z/wN+7T7VPrx+p/6a/pM+iP56vm2+Z35kvlt+Rb4m/gh98T3gvdB9vP2pvZy9lj2OfX59Z31QPT99Nf0vfSW9Fn0EPPM85LzVvMT8tHylvJb8hrx2PGf8WTxFPC18FXv7+9x7ubud+4l7bntC+xP69/ryOuz60zqpeoW6dPpxem66ZnpZ+kq6OjooOhT6AHnrudd5wzmuuZo5h7l2uWU5UvlAuS+5HzkOeP047HjbeMm4tniguIg4bnhXeEX4ODgsOCE4F/gO+AS3+ffxN+t35ffcd863wXe7t8H3z7fbd9231zfNN8P3vDe4d7o3wHfGt8l3yjfK98t3yDe/t7H3oHeOd4D3eHdvN2D3UvdQ9123bzd3N3C3YndVd043S3dJt0T3Prc8d0Q3VLdpN303kDeht663tDe0N7T3vLfOt+i4BXggeDf4TfhjuHh4ividuLN4zTjoOQI5Grkz+U+5bXmK+aT5urnO+eK59LoBugs6E3oYehQ6BTn1efG5/noVujI6VLp/+rB63bsBOxr7LztCu1e7b3uJe6I7uDvNe+V8AbwevDg8TbxgvHF8fnyHPI/8nHysvL580Lzk/Pw9FH0pfTi9Q31M/Vf9Zb10/YQ9k72j/bO9wz3Vfez+Bv4ePjK+Sn5pPot+q77K/u2/Er8zP0v/YD9yf4A/hz+Mv5c/qD+7/9C/5z//QBfAMQBNQGwAicCkALsA0MDnwQHBHsE6gVGBZgF+wZ0BvEHZgfcCFYIxgkjCYIJ9ApoCssLMQurDB0MYAyFDLUM2AylDEYMcA2eD0gQYRCMEG0QvhFnEcoRqRFfEUoRZRGDEa8SBRJsEpcSVhHBERcQmRByEKkRGhGLEd4SHhJZEowSqRKzErwSxhLGErgSrRK3Es0S2RLWEtAS0BLQEs4S0RLiEvcTARMCEwYTEhMgEywTOxNME1gTYhN8E6YTyxPVE80TyxPYE+QT5xPrE/sUFRQtFEEUTxRZFGMUcxSGFIwUfhRwFHUUiRSRFIIUaRRcFGIUcxR9FHQUXxRfFIkUzhUHFScVQRVhFXQVaBVdFX4VuRW0FSIUFhLoEcUQjg8rDeUNTQ2vDroPwBBWEJcQ1REmEV8RXxE7ERQQ8BDBEIMQQQ/+D74Phw9hD0UPKQ8ODvYO1g6iDmUOOg4cDekNkw03DPkM1Qy3DKAMnAybDHgMLwvlC7sLpAuGC2kLZQtzC2wLQAsOCwkLQQuVC8MLnwstCp8KMQn2CdwJywm/Cb4JwQm5CZsJbAk4CQwI7gjgCOoJEAlHCWAJLwi0CCwH0gerB4cHRwcDBvIHLQeWB+gH6QeSBxcGtAZ+Bl8GQQYpBh8GFwYABdsFtwWWBXEFUAVBBUEFOQUjBRUFGAUYBQAE3ATMBNoE7gTzBOgE0ASxBI8EdARcBDgEBQPRA6sDkAN9A3YDgQOQA48DgwOAA40DlgOLA3cDbQNyA3wDggOCA3sDaQNSA0gDTgNXA1ADQQM9A00DYQNlA14DWgNgA2QDXgNTA0oDQwM7AzoDTQNuA4MDegNiA1sDdQOiA8YD1QPaA+gEAgQWBBYEBgQCBBkEPQRQBEcEKgQHA+EDvgOsA68DuQOzA5kDeQNhA1ADPgMqAxUC/gLkAssCtgKkAo0CcwJZAkACKgIUAgMB9gHoAdIBtAGVAXkBYgFOATkBIQEGAOwA1ADAAK4AmgCCAGYASAApAAb/3f+w/4L/Wv86/yT/FP8B/ub+yf6z/qn+o/6a/oz+fv5x/mP+VP5E/jH+GP33/dX9tP2S/W/9TP0r/Q788vzZ/MD8pPyA/Fn8N/wZ+/v72vu5+5v7fftf+0X7MPsZ+vv62vq8+qP6ifpp+kX6Ifn7+dH5p/l++Vf5LPj++NH4pfh4+Eb4EPfa96f3dvdG9xf25/az9n72SfYX9eb1tfWC9Uz1E/TX9Jv0Y/Qv8/zzx/OS82DzMfMD8tTypvJ68lLyLPIG8d3xtfGR8XHxUfEs8QPw3/DF8LHwnPB+8FjwMfAN7+7v0u+175bvde9X7z7vJO8I7u3u2O7K7sDut+6w7qfune6S7onuhu6E7oTuhO6H7oruiu6I7oTugu6G7pLupO637sju1+7n7vrvEu8u71Dvd++c78Dv4fAC8CTwRvBr8JXwwfDr8RTxQPFx8aHxzPH18iPyWvKV8szy+PMb8z3zZfOU88bz9fQh9Ez0e/Su9Ob1I/Vg9Z/14fYo9m32qfbg9xn3Wfea99L4CPhD+IP4wfj2+ST5UPl8+av54foY+kj6cPqa+sv6//sx+2D7jvu7++T8EPxB/G/8jfye/K/8w/zR/NX81vze/Or89Pz5/PH8yPx3/Bn74Pvt/D78vf1P/dT+J/44/h3+C/4z/qr/XQAcALEBBwEuATwBMQEGAMwArgC/AOgBBQENARMBIgE3AU8BcgGhAccB1AHOAcgBygHHAbABhwFXASoBAADWAKcAdABBABj////u/9r/xP+z/6f/i/9M/vD+l/5T/h796P2z/Yj9ZP08/RH87vzR/Jv8L/uc+xH6tfqF+mT6PvoM+c/5jPlI+Qz40/iL+DL34fe/99H36vfZ95j3TvcX9uD2hPX+9XX1DvTH9Iv0T/Qa8/HzzvOl83PzO/L98rzyefI48fjxxPGq8a/xu/Gp8WvxHfDn8NDwvvCm8Jfwq/Dc8QnxEvD18LzwdPAh79DvnO+l7/TwYPCI8AvuyO0B6zfp4elA6VXp8+rL64/sEexQ7GTsaexr7HLsfuyQ7KfsxOzd7Ozs8+0E7SbtVO2G7b3t++457nPuqe7e7wvvLO9J73Hvn+/B79jv/PA68ILwvvDz8TXxh/HY8iHyZ/Kv8vHzLfNp86jz5fQg9GD0rPT+9U31mvXh9hn2N/ZI9l32ffae9rr22Pb89yH3RPdr95n3zPgA+Db4b/in+N75FPlM+YH5svnj+hb6Svp7+qz65Psh+177mPvU/BP8UPyM/Mj9Bv1E/Xv9r/3k/h3+XP6e/uL/Jf9n/6v/8QA3AHwAwgEKAVQBmgHgAiUCaAKmAt4DGANVA5MD0AQOBEsEhwTFBQYFSgWKBcIF+gY2BnIGnwa8BuQHPQfOCGkI0wj8CQsJJAk4CRgIughPCBAIBAgICAgIDQgmCE0IdQiaCL8I5QkJCS8JYAmZCdQKFAppCt0LYgvMC/oL6Au1C4gLdAt6C5ELtQveC/0MCwwUDC8MYwyiDNoM+wz4DMUMZwv/C7MLlAuSC5wLrwvHC9oL3wvaC9kL2wvWC8ILqwuZC4kLdQtfC08LRgs6CygLFwsRCxcLHgsdCxcLEgsZCy8LUQtzC4ILbwszCtcKcwoeCeAJuQmgCZAJfQlbCScI7QjDCNAIzQjHCLgIqgiqCLcIyAjUCNsI2gjPCLMIhwhVCDEIJQgmCCEICgfuB9oHzge9B6IHiweFB48HnAeeB5oHnQetB8MH2AfoB/EH8AflB9kH0wfQB8UHqgeCB1MHHQbfBp4GZQY3Bg4F6QXIBa4FkwV1BV4FVwVYBVEFOgUdBQUE8QTWBLEEiwRrBFAEOQQmBBED+QPdA8YDugO7A70DswOYA3MDWwNeA3kDnwPEA+kECgQeBBoD/wPXA68DjgN8A3kDegNxA1oDOgMTAuMCqQJ0AkwCLgIQAfgB8QH3AfUB2gGyAZgBkgGOAXkBWAE8ASwBHAECAN4AvACgAIwAeQBdADEAAP/d/9L/1P/R/8b/u/+6/8H/zP/V/9D/s/+M/3P/a/9C/sD96P0R/Kb80/1x/jf+7v+G//MAG//n/1/+vP48/ff90v2o/W79M/0E/OP8x/yj/G38Nfwp/HD89/1z/aH9eP0k/Mz8ffwv+9X7bfsB+qf6Z/o0+fr5tPlz+Uf5Jfjz+KD4MvfF92z3KPbl9pj2T/Yj9hL19/W09Vb1BfTb9Mn0sPR69C7z3fOZ81/zIvLh8qLybPI18fPxr/F08Trw8vCc8EPv3+9l7t7ua+4M7Zjs+uxl7BvsD+vl613qn+oH6cLpsOmf6XjpP+kA6Lvocegg58vndeci5tHmfOYp5d7lmuVY5RPkz+SO5E3kCOPD433jOOLw4qTiUOH24ZzhSuEC4L7gfOBG4B/f/N/U36zfkN9+32TfNd743sHepd6v3tnfC98s3yzfD97f3qzei96I3p/eut7O3t7e8d8C3wLe7d7B3oLeO94A3dfdrd1z3TjdH9053Wjdf91q3Tbc/9zW3MbcxdzE3Lvcvtzj3S3dhN3U3hveWt6G3o/ef9503pHe5d9g3+bgX+DE4R3hceHC4hDiYuK+4yXjkOP65GPkzOU65azmH+aH5t3nJ+dw57Xn7ugZ6DfoP+gl5/bn2+f26DTobuih6P7prOqS62zsC+x27MztHu1z7dDuNu6c7vXvR++m8BjwjPDu8T3xiPHP8gfyLPJP8oPyyPMS813zs/QY9IH03vUo9WH1kvXB9fL2J/Zf9pz23vcf9173p/gF+HH41vkq+X755vpo+vb7ifwf/Kz9If19/c/+Hf5X/nP+g/6l/uH/Lv+A/9cAMgCOAPEBZQHlAmECzAMrA4kD7gRgBNgFQwWaBe8GWgbYB1AHtwgiCJgJCglqCcwKQQq6Cx0LcgvUDDwMigy/DPINDAzWDG0MbA1QDsgP9hBoEIIQ3xGMEhkSQRIyEjcSXhKKErMS6hM1E3ITbRL6EiIRLhCOEIcQ+hGNEf0SShKPEswS7xL6Ev4TCRMPEwgS/hL+EwYTCxMKEwwTERMOEwIS/hMMEx4TIhMbEx4TMhNIE1UTXRNmE3ITghOfE8UT5BPuE+0T8RP8FAQUCRQVFCoUPxRRFGEUcBR3FHsUiRSgFKoUnRSLFIwUnRShFIoUaxRdFGcUdhR4FGoUYxR5FLEU7xUWFSoVRhVpFXYVZxVnFZgVzBWXFMIThxJGERsP1g5tDU4NDw3WDxkQGhCMELcQ+BFPEXsRYxExERAQ9hDGEH8QOQ/+D8UPjg9iD0EPJQ8NDvkO3Q6pDmwOQw4sDf4Now1EDR4NPA16DbUN2Q3LDXIM4AxWDAML2QuuC3wLYAthC2MLUAs2CzELTwuBC6sLqwtuCv8Kiwo5CgwJ6gnDCaQJoQm0CboJlglTCRUI9AjuCQAJNAmDCbMJegjYCDYH/QgpCFEIHgeoB1AHVgeoB/UH+QemBysGxgaQBngGZAZTBkcGNgYYBfMF1QW6BZgFdQVjBWIFXAVJBTsFOwU2BRoE/QT/BR0FNAUsBREE9ATVBLEEjgRxBFEEIwPrA7kDkgN6A3cDiQObA50DkwOUA6UDsAOmA5MDiwOQA5QDjwOLA4oDhQN4A2oDaANuA20DYgNbA2ADawNuA2cDYQNiA2MDXgNYA1kDWgNSA0YDRgNbA3gDjAOcA7sD7gQeBDAEIQQIBAAEDgQjBC4ELQQqBCoELgQyBDgEOwQxBBAD4AO8A7UDvQO8A6YDhQNoA1IDPwMrAxcDAwLsAtQCvwKpApECdwJfAkoCNQIhAhACAQHyAd4BxQGqAY8BdQFcAUIBJQEGAOkA0wDBALAAmgCAAGQASAAtAAz/4/+0/4T/W/89/yn/Gv8J/vD+1f7D/rv+tP6p/pj+iP58/m7+XP5I/jP+HP4C/ef9yP2l/YD9XP08/R/9BPzt/Nr8xfyp/If8ZfxG/Cj8Cvvv+9X7uvug+4n7dvtf+0D7G/r4+tn6uPqR+mb6OvoO+eH5tvmO+Wj5Qvka+PL4y/if+G/4PPgH99T3oPdu9zz3CfbT9pz2ZPYw9f31y/WX9WP1LvT39L70hvRQ9Brz4/Or83bzR/Ma8u/yxPKb8nPyS/Ii8frx1PGw8Y7xbfFL8SjxB/Dr8NPwuvCb8HXwTfAm8ATv5O/E76Xvhu9r71LvN+8b7wHu7u7g7tTuyu7E7r7utO6l7prume6c7p7umu6W7pbumO6Z7pjumu6h7qzuu+7K7tju5e7z7wXvG+8171Pvd++e78bv6/AQ8DTwV/B68KDwyfDz8R7xSfF38aXxzvH28iLyWPKV8tDzAvMo80nzbfOZ8870BvQ49GL0jPS+9Pv1O/V59bL17vYv9nH2rvbo9yT3Yved99T4DPhI+In4xvj9+S35W/mM+b/58/ok+lH6fPqp+tn7C/s9+3L7pfvR+/b8HfxL/Hb8lvyx/NP8+f0U/R39Iv00/VD9Z/1t/V/9N/zy/Jr8RfwL+/z8JPyG/RH9nf3//if+I/4d/kD+m/8Z/5P/+ABQAKAA0gDVAL0AtgDVAQYBKgE9AU8BZgF+AZYBtgHYAegB3wHNAcYBzgHTAcgBsAGQAWsBQAEUAOgAvACNAGMARgAxABf/9f/Z/8j/s/+B/zf+7f6w/nP+Lf3r/b79oP19/VT9Nv0b/N/8ZvvF+zL6zvqR+mT6N/oG+c75jflI+QX4xPh6+Cf34/fI99f36PfQ9433Sfce9vX2ofYY9YX1E/TD9Hz0MfPv877zmPNw80HzC/LS8pfyYfIt8fnxzPG48cPx0fG88XvxMvEK8QbxB/D28N3w2/D68SXxPPEn8OjwlPA/7/Xvu++j78vwLPB68EXvTO246/7qkOmz6Xnp1OqI60TryuwQ7DHsSexg7HXsi+yn7Mzs8u0O7RrtHu0q7UjtdO2n7d3uFu5M7n3uq+7a7wXvJe9C72fvju+p77zv2vAO8EfwdvCl8OXxNPGD8cvyFfJj8q7y9fM984PzxPQA9ET0k/Tn9Tn1i/Xe9iH2R/ZX9mj2gfag9r/24vcJ9zD3Vfd696T3z/f6+Cj4XfiV+Mv5Avk4+Wv5mfnH+ff6J/pV+ob6wPr++zv7dvu0+/X8NPxw/K386/0l/Vn9iv2//fj+Nf5z/rT+9v84/3r/vf/+AD4AggDKARMBWwGjAewCMgJyAqwC5wMjA18DmwPZBBcEUQSLBMoFDAVLBYMFugX2BjEGYAaCBq0G+AdlB9QIGwgsCBsIDAgFB/kH3wfFB7sHwQfJB9IH5QgGCC4IUwh0CJcIuwjgCQgJPgmACcMKBQpRCroLOguoC9cLwwuQC28LcAuBC5MLpwvDC+IL+AwGDB4MSQx/DLEM1wzmDM4MiQwtC+QLwAu7C8IL0gvqC/0L/gv0C/AL9wv5C+gLywuzC6QLlAt/C20LZQthC1cLRQs3Cy8LJwsaCwsLCAsYCzgLXgt6C3wLVgsICqMKPwnvCbsJmwmLCYQJfAlmCTsJBwjfCQYI+AjlCMwIugi6CMoI3AjhCNgIzAjDCLYImAhrCEQIMggvCCMIBAfiB8sHvAelB4gHdwd8B40HlweXB5oHqgfCB9YH4gfrB/IH8wfuB+cH4QfXB8IHogeAB1wHKgblBpsGYQY7BhkF7AW7BZIFcQVWBUUFRgVRBVMFPwUgBQQE6wTLBKQEfwRhBEgEMAQYBAAD5wPMA7gDsgO0A68DlQNqA0IDMwNDA2UDiQOpA8oD7AQBA/0D4AO4A5ADcwNnA2kDaANTAy4DBgLiArcCgAJHAhkB9QHSAbgBtQHEAcoBswGOAXUBcAFsAVYBNAEWAQQA9gDfAL0AlQBxAFcAQQAl////1/+8/6//pv+Z/5H/lP+c/57/mf+U/47/ef9V/zT/IP78/pf96f0y/ND89f2F/jb+1P9V/73/9//Y/1j+qv4c/dT9u/2i/XL9Nvz7/Mj8n/x8/FX8LPwf/FX8y/1E/Xr9WP0C/KT8VPwG+637Rvrb+nz6Lfnp+aX5X/kf+Oj4tPh5+DH33feH9zv2+va39mv2JPX39dz1sfVh9Qb0yfS19Kn0g/Q78+bzl/NV8xvy4PKi8mbyL/H38bXxcPEu8PDwqvBd8Azvs+9H7s/uXu3z7XXs4uxk7CPsBOu76ybqdunz6bbpm+l+6VHpGOjX6I/oQefu55fnPubp5pjmRuXz5ablYOUf5N/koeRh5B7j1uON40bjAOK44m3iHeHL4XzhNODt4KDgUeAP3+Dfut+U33PfX99P3y7e+N693ovead5e3nHeod7W3u7e1d6U3kreGt4X3jXeWt533o/erd7L3t7e3d7F3pjeXN4f3evdut2C3UjdH90U3RzdIN0R3O3cu9yP3HrcgdyQ3JvcqtzU3R7dc92+3f/eOd5e3l7eP94k3jveld8i37/gSuC34Q7hXOGr4f7iV+K34xzjhePx5GDkzeU55abmFOZ75tLnGedc56Hn4OgO6CLoGef75+bn++g36GjoaOhZ6JTpT+pa61Hr/Oxu7NHtNe2S7eruR+6o7wPvWe+98DHwpfEH8VnxqvH08inySfJs8qPy6vMx83rz0PQ19J30+fVI9ZD10PYH9jf2ZvaZ9tb3HPdm96339vhN+LT5H/l++dT6Nvqv+z371Pxo/Ov9WP2z/gv+Yf6k/sf+2f7y/yH/Yv+r//sAUQCxAR4BnAIgApsDBgNpA80ENgSmBRUFfAXYBjcGqQcmB5cH+AhfCNcJTQmzChgKkQsNC3ALvAwRDHYM0A0ODTMNOA0DDKwMow1LDoAPpBBHEJIQ8hGOEicSfBKREp8SzxMVE1MTfhOuE/UUKxP0ExgR2RDUEIcQ6BGJEhASbRK8EwITLRM5EzsTRRNTE1gTUhNKE0UTQBM9E0ETSRNJEz8TPBNGE1ETTBM+Ez4TURNoE3ITcxN4E4QTlxOwE9IT8RQGFBIUHRQmFCwUNBRFFFsUbRR7FIkUlBSXFJgUpxS+FMUUsRSaFJkUqRSqFJEUdhRxFHwUgxR7FHIUgBSuFOoVGRUvFT0VVRVvFXIVZxV1FaEVpxUvFCcS1xGJEEQO6A2XDM0NAA4dD34QdxDaEPgRJRFaEWYRQBEWEQQQ8hDCEHsQPRAMD9oPpA91D08PKw8NDvoO5Q66DoAOVQ48Dg4Nsw1YDUQNiw4ADmgOng6CDgsNXwzKDHIMPAv3C6YLcgtuC3sLdwtjC08LRgtLC2QLiAuUC2cLBwqdCk0KFAnjCcIJygn7CikKHwnaCYQJRwknCR8JQAmMCcMJhgjYCDsIPAjQCVcJRAiiB+wHjweRB7MHsAdzBxkGzwarBpoGiAZyBl4GSgYuBg0F8QXVBbAFiwV6BX4FfgVvBWAFWwVQBTYFJAU3BV8FbwVUBSgFCATuBMoEogSEBGsERQQJA8YDjwNwA2wDfQOTA6ADpAOrA7kDvgO0A6cDpQOsA6wDoQOYA5gDmwOUA4kDgwOHA4gDfQNsA2MDZQNoA2UDYANgA2EDXwNfA2kDegOBA3UDZgNoA38DngPCA/AEJgRRBFoEQwQlBBcEHgQzBEoEWwRdBE0ENAQjBCoEQQRMBDkEDQPiA80DyQPFA7QDmgN+A2UDTQM3AyIDDQL4AuMCzgK0ApkCgQJtAlsCSgI3AiQCEAH7AeUBzwG4AZ4BhAFqAU4BLgEMAO8A2wDLALgAoACFAGoAUAA0ABL/6P+6/43/Z/9K/zb/Jf8S/vr+4/7R/sb+u/6r/pr+jf6D/nf+Y/5N/jj+Jf4T/f394v3C/Z/9ff1f/UT9Kv0V/QX89Pzf/ML8ovyB/GD8Qfwn/A778vvT+7f7nvuE+2P7P/sb+vj61Pqr+oH6Vvoo+fr5zvmm+X/5Wvk0+Q/46vjC+JX4Zfgy9/33yPeS9133Jvbv9rj2g/ZO9hr15fWv9Xr1SPUV9OD0p/Rv9Dfz/vPG85DzYPMz8wjy4PK68pLyaPI88hXx8/HR8a7xivFp8UvxLfEO8O/w0PCu8IrwY/A+8Bvv+u/a77zvou+K73LvVu837xzvCO747uru4O7a7tXuye617qjuqu617rnus+6p7qbuqe6r7q7utO6/7sru0+7d7unu9u8F7xfvLO9D713vfe+j78zv9fAd8EXwbPCR8LXw2vEC8SvxVPF+8ajxz/H28iPyXPKa8tTzBfMu81Hzc/Oc89T0FPRO9Hr0ofTS9RL1VfWT9cr2APY59nT2sPbt9yv3Z/eg99f4EfhP+I/4zPkE+Tn5bvmk+df6Bfot+lX6gvq0+uX7FPtF+3n7rvvc/AH8J/xR/Hr8nPy7/OH9Cf0n/Tf9Q/1Y/XX9iv2R/Yv9fP1h/TT88/yk/FT8Hvwb/Fn8y/1Q/cD+BP4k/jr+YP6T/sn/Bv9b/8cALgByAJcAuADiAQwBKgFBAVsBdgGOAa4B2AH/AgsB+QHiAd4B6wH4Af4B+wHrAcMBhwFNASYBCwDqAMEAnACBAGAAMwAJ//H/4P+9/4f/UP8f/uH+i/4v/ez9xP2l/Yj9cf1S/Qf8gfvh+1f6+/q++or6U/oZ+dr5lvlQ+Qj4vvhv+CL35ffG98H3vPeZ91f3Ffbp9r32afXm9Vn06fSX9Ebz7POY81rzLvMI8t7yrvJ68kvyKPIM8e7xz/HB8cfxzvG48YLxSvEy8TfxPvEz8RvxD/Ej8U/xcPFe8RLwrPBT8BLv3u+678nwHfB98HbvvO5p7N3rd+p26gfqOurj66PsJuxe7HLsiuyp7MTs2+zz7RHtLu1A7UbtSO1U7W/tl+3G7fnuLe5d7oTuqu7R7vbvFO8w71Pveu+Z77Pv0+/98CfwSPBv8Knw8fE58X7xyfIZ8mryuvML81vzoPPf9CX0dvTK9Rr1bvXF9g32OPZM9l32dfaS9rT23fcK9zT3WveC96z30/f1+Bn4SPh9+Lb47/kn+Vn5hfmy+eL6EvpA+nD6qPrl+yD7XPub+938G/xV/JH8zv0G/Tj9a/2i/dz+F/5U/pL+0/8T/1P/kv/OAAoASgCOANQBGwFlAbAB9wI4AnQCsALrAyQDXwOeA94EGQRRBI0EzgUOBUkFggW+BfUGIQZEBmsGoAbfBxoHQgdTB1IHTQdQB1kHZAdtB3gHhgeWB6wHyAfqCA0ILQhLCGwIkAi2COIJGglfCaUJ4gofCnIK3gtJC4ULhgtuC2gLgAufC64LswvBC9kL8AwCDBgMOgxhDIgMqgzADLUMfAwtC+8L1wvaC+UL8gwHDBwMIAwUDA0MFAwbDA0L7gvRC8ELsQuYC4ALcwtxC2sLWQtECzMLJAsTCwQLAgsWCzoLXwtxC2ALKArTCngKKwn0Cc0JrwmYCYwJhgl7CWEJPAkbCUcJJgkBCOEI0wjeCPYJBgj+COMIyQi/CLwIqQiACFYIPgg1CCMIAgffB8gHtgeXB3QHYgdrB30HiAePB58HvwfeB/EH9wf5B/sH+QfzB+sH4gfOB6wHgwdkB00HKAboBp0GZAZDBiQF8wW3BYQFYQVKBT0FQwVTBVgFRwUmBQUE5gTCBJsEegRgBEcEKQQLA/ID2gPCA7ADqgOnA5QDaQM0Aw4DCQMgA0EDXwN8A50DvwPTA84DtAOSA3MDXwNbA18DVQMtAvQCxAKnAocCVgIbAeoBwgGcAX0BdgGGAZUBjAFvAVkBUQFMAToBGwD4ANoAwwCtAJEAbABDACEAB//u/9H/tv+l/5f/gf9m/1j/YP9u/27/Xf9O/0j/Pv8e/u7+w/6j/nX+Iv28/Xr9if3g/k7+r/8G/2T/s/+z/0X+kv32/ar9mP2L/Wb9MPz0/Ln8g/xa/Dz8Jvwi/Ev8pf0D/Sn8/PyX/Cf7xPts+xT6ufpf+gr5u/lx+S/49vjE+I/4VPgW99j3mPdU9xH21faZ9lf2GPXn9bn1dfUW9L70j/SA9Gn0MfPj85TzT/MQ8tbynvJj8iLx3/Gd8VzxG/Dd8J/wXvAZ79DvgO8j7rnuSO3M7UDssew+6/XrtetR6sXqPenh6a3phulb6Sro8+iv6GDoEOe+52fnDea35mbmF+XG5XflLeTp5KvkbuQv4+jjneNT4w3iyOKB4jbh5+GW4UrhBuDE4HngJ9/f36bfeN9Q3zTfJt8V3vHevN6M3mbeQd4e3hPeNd5z3p/ej95D3ePdoN2X3b/d9d4g3kHeZd6R3rjezN7L3rXej95d3ijd8t243XzdQd0N3Obczdy63KDceNxQ3D7cTNxp3ILcnNzJ3Q7dXN2k3eXeIN5G3kLeGt313gLeWd7t35fgMeCo4P/hSeGW4e7iTuKx4xbjf+Pu5GHk0uU95aTmCuZu5sbnEOdV55rn2+gE6Ann7+fY5+noLeh66IvoT+gR6EPpD+ot6ynr0OxE7LftL+2a7fPuSu6o7wvvce/f8FLwvfEa8XPxzvIe8lHybvKR8snzDfNO85Lz5fRH9Kf0/fVN9Z716/Yt9mD2jvbB9wL3Ufen9/v4SPiW+PD5VPm3+hj6f/r4+4D8C/yN/QL9bf3V/kH+qP72/yD/M/9G/2f/mP/RABMAZQDNAUsB1gJfAtoDSAOxBBoEfgTgBUQFqwYRBnsG7gdlB9UIPAilCRoJjgn3CmAK1gtPC7IL/wxUDLwNHw1eDXINYg0xDPUM7Q1aDjsPPhAJEI4Q/hGHEhsShxK1EsgS+BNUE68T4BP8FDYUgBRxE60SXBEmEKMQ4hF/EhUShBLdEykTXRN0E3sThROTE5sTlhOME4QTfBN2E3QTeBN9E34TfhOCE4ITdxNmE2ETbhOAE4kTjROUE6ETsRPGE+QUCRQqFD8USRROFFMUXxRxFIQUkxSiFLEUuBS3FLsUzhTiFN4UvxSmFKkUuRS2FJ0UhhSFFI0UiRR7FH0UnhTWFQwVMBVFFVkVbBVuFWAVXhV+FaEVdxTEE5gSMhC/D0gN3wzSDIsNNA6CD9sQwBEfETcRRhFQEUMRIREIEP0Q5hC2EHsQTBAhD+oPrQ97D1cPNQ8XDwMO8Q7MDpUOZg5FDhANtA1ZDUMNhA3tDkEOWQ4nDbYNNQzeDLoMlwxFC9oLmAuWC60LrQuRC2sLQwslCykLXwumC7sLdwr7CoQKOAoRCgQKHgpqCsEK4QqpCjsJzAl2CT8JOAlpCZcJZQjOCFUIiQlbChoKIglwCIMH1geHB3IHZAdCBxEG6gbaBtEGuwaYBncGXwZIBi4GEQXuBcEFmgWPBZwFpAWWBYIFeAVtBVoFUgVrBY8FjQVaBSAFAgT0BNoEtASWBIAEXAQeA9gDowOGA3wDfwOMA54DsQPBA8oDyAPAA70DxgPQA9EDxgO7A7gDtwOwA6MDmgOaA5kDjgN5A2oDZwNrA28DcAN0A3gDeAN4A4QDnAOrA6IDigN8A4QDnAO5A9sEAAQfBCsEJQQbBBkEIQQ0BFAEawR1BGcESQQ0BDkEUARhBFcENQQLA+oD2APQA8gDugOkA4kDbQNTAzcDHQMGAvIC3QLDAqcCjwJ8Am0CXwJQAkACKwIRAfYB3QHDAagBjQF1AVwBPQEcAP8A6gDXAMEApwCPAHkAYABBAB3/9v/P/6n/h/9p/1D/OP8h/wn+8v7e/s3+vf6s/p3+lf6O/oT+dP5i/lP+Rv43/iP+DP3w/dL9s/2W/Xv9Yv1L/Tb9Iv0M/PL81Pyz/JD8b/xT/Df8F/v1+9P7s/uV+3b7Vvs1+xH66vrE+p/6ePpO+iD58vnG+Zv5cvlL+SX5Afjb+LH4g/hR+B336fez93r3QPcI9tP2oPZt9jf2AfXK9ZX1Y/Uy9P/0yPSQ9Fj0H/Pm87Hzf/NR8yXy/PLX8q/yg/JX8jHyEvHz8c/xqfGI8WzxT/Et8Qjw4fC78JXwcvBR8DHwEO/x79bvvu+o75Hvde9X7zvvJO8R7wDu9O7v7uru3O7G7rjuvO7M7tPuzO7C7r/uwe7B7sLuyu7X7uLu6O7v7vvvC+8c7y3vQe9W727vjO+w79jwAfAq8FXwgPCo8Mzw7/EU8TvxYvGK8bHx1vH88ivyZfKh8tXzA/Mv81nzfvOk89j0GvRZ9Ir0tPTn9Sf1afWk9dn2DvZD9nr2tPby9zH3a/ek9974G/hZ+Jb40vkM+UX5ffm1+ej6Efo0+lr6iPq8+u77HftL+3v7qvvW+//8KvxX/IP8q/zO/O/9Df0l/Tn9S/1g/XT9g/2O/Zf9ov2r/ab9iv1Q/P/8pfxa/Dr8Vfyn/Rj9h/3h/ib+Xf6E/pz+sv7d/yT/ff/YAC8AfwDAAOkBAgEbATkBVAFsAZEBxwH7AhcCGQIXAh8CKwIwAjICNQItAgUBvgF7AVgBTgE7ARUA6QDFAJ8AbAA5ABsAC//x/8X/mf91/0H+6P52/hH90P2t/Zz9jf1m/Qz8g/v1+4v7R/sR+tT6j/pF+fj5q/lh+RX4wvhs+B733/ew94v3Z/c19vP2sfZ99kj18/V39PP0ifQ189/zffMg8tnyrPKM8mvyQvIW8fbx5/Hi8dfxw/G08bLxrvGa8XfxW/FU8V3xZvFg8U/xR/Fe8ZHxuPGi8UHwvvBQ8Azv4+/T7/jwW/DB8MTwK+8T7cnsi+uM6wbrIuvB7Hfs5Oz77PLs+O0Q7SftNu1D7VHtXe1j7Wftbe187ZXtuO3g7g3uPO5n7ozuq+7K7ujvBO8f70DvZe+H76Xvx+/r8AzwKvBQ8InwzfER8VXxnfHp8jbyhfLa8y/zfPPB9Ar0W/St9P31UvWq9fP2IPY49kv2YvZ+9qH2zfb89yT3Sfdz96H3yffq+Av4Nfho+KH43vkY+Ur5dfmi+dX6CPo2+mb6m/rV+w37RvuD+8D7+vwy/Gv8pvzd/RD9Rf1//bv9+P42/nb+tv72/zX/c/+v/+kAJQBlAKYA6gExAXoBvwH8AjgCdAKtAuQDHQNcA58D3QQWBFEEkQTQBQ4FTAWJBb8F5wYKBi4GVAZ2BpMGrgbKBuIG8wcABw8HIAcvBz8HVAdvB44HrQfLB+gIBQgiCEEIZAiNCLsI8wkzCXMJpwnRCgsKZgrTCyoLVQtkC3sLpAvMC98L4AvgC+kL9gwFDBoMNAxQDGwMhQyTDIIMTQwJC94L2QvpC/QL/QwRDC0MPQw5DDIMNww+DDIMEAvtC9cLwwunC4cLcgtsC2QLUgs6CycLGwsQCwULBQsXCzcLVQtcCzwK+gqpCmMKNgoaCf8J3gm+CaoJogmeCZEJfAljCYUJWgkoCQQI+gkLCSMJLQkaCPQI0gjECMIIswiNCGMISQg9CCcIAQfcB8MHrQeLB2UHUQdXB2kHeAeLB6sH1Qf7CBAIFwgYCBMIBgf0B+QH1Ae5B48HYgdFBzkHJQbzBq4GdAZPBi0F+AW6BYUFZAVPBUQFSAVWBVoFRwUjBQAE3wS8BJgEegRiBEUEIwQDA+0D2wPFA68DnQOIA2UDMQL9AuAC3wLyAwsDJANBA2MDggORA4sDeQNjA08DQwNFA00DQAMKAsECiAJuAlkCLgHzAb8BlwFxAU0BPgFLAV4BXwFPAT0BNgE0ASsBEgDpALkAjgByAFsAPQAY//f/3v/H/6//m/+P/4H/Yf84/x3/Hf8s/zH/JP8T/wv/BP7q/rf+gf5g/ln+Uv48/iP+Iv4+/l/+d/6h/vf/YP+H/zH+gP3Z/YH9bf1l/Uj9Hfzt/Lb8ePxD/CL8Fvwe/EH8ffyy/LP8bPvy+236+PqV+j/59Pm1+Xv5Pfj8+MH4lPht+D/4BffK95b3YPch9uD2pvZ09kD2DfXb9Z/1SPTh9Iz0YPRH9Bzz1/OM80vzCvLH8oryV/Ii8dvxifE68PrwwvCO8FrwJO/n76PvWu8H7qTuKu2a7QHseOwQ673rYerq6mzqC+nO6aDpbek56QfozuiE6C/n2+eL5znm4eaJ5jfl6OWZ5Unk/eS15HXkN+P346/jYuMX4tHijeJG4f3hruFa4QvgxuCI4Eff+9+w32/fON8M3vLe5t7W3rPehd5i3kveKN3y3cfdzt4H3kHeRt4C3ZbdOt0d3ULdid3K3fzeLd5m3p3ewN7M3sjeu96j3nneQd4A3bjdZ90R3MPcjdxt3FTcM9wS3AfcGtw83F3cf9yw3PHdOd1+3cPeBd4w3jLeD93s3fLeOd6/32fgCuCL4OfhMuGA4driPuKm4w/jeuPq5F7k0uU+5aHl/+Zc5rfnCedT55nn1Ofx5+fnyefH6APoaeiu6JLoJufZ6Bvo/eof6xDrqewY7I/tE+2I7ejuQu6o7x3vl/AN8HLwwfEL8WTxzfIt8mzykvK68vDzLfNn86fz9/RV9K/1APVR9af1/fZF9n32rfbk9yr3gPfg+ED4lfji+TD5hvnj+kj6uvs5+738N/yj/Qn9eP33/n3+9f9M/3n/jP+d/7v/5AAPAEIAiwD2AX4CEAKaAxcDjQQABGsEyQUhBYEF7AZdBssHOAeoCBoIiAjzCV4JyAowCpsLDguAC+QMOgyTDPgNXA2hDbcNog10DT0NHQ1CDc4Osg+xEIcRIhGhEiESkRLNEuMTDBNtE94UIxQ7FFoUiRRzE78ShRFRELQQ0xFoEhMSnBL+E0gTghOqE8ETzRPTE9MTzRPEE8ATvRO2E60TqROuE7YTuBO0E6oTnROOE4YTihOYE6kTuBPHE9QT4BPvFAsUMxRYFGwUbxRwFHkUihSZFKQUshTEFNQU2BTYFOQU/BUJFPYU0BS7FMMU0BTFFKMUiBSBFIEUdxRuFHwUpxTdFQgVKRVLFWoVchVZFTsVRhV8FZ0VUhRzEx4Rhg/RDisM4wxUDKwNvA8REDsQ+xFTEWgRYBFQET8RMhElEQ0Q4RCrEIAQYBA2D/UPrg9+D2QPTg8yDxkO/g7TDpsOag5EDg8NvA1nDUMNWQ2ADYwNbg0rDNYMlgyPDK8Mtgx0DA0LygvKC98L2Qu1C4oLXws1CyQLUAutC+0LxwtECrcKZgpQClQKawquCxELUws1Cr8KMQm5CWYJPwlMCWQJQgjWCIQIwAmACi4KPAmkCMoIEgeiB28HXQdRBzoHIwcYBxIG/gbXBq0GjwZ3Bl4GPgYUBeAFtgWtBb4FyQW5BZ4FjAWCBXcFeAWTBawFmAVTBQ8E9QT2BOwEzQSsBI8EaAQ0BAUD7gPjA9ADswOfA6MDuAPMA9QD0QPTA94D8QP+BAED+wPzA+sD4QPQA7sDqgOhA50DlgOMA4MDgQOFA4sDkwOeA6cDqAOjA6cDtgPAA7QDlwODA4QDkgOfA6kDuAPMA94D6wP4BAcEFwQqBEIEXQRtBGsEXwRZBGEEcAR1BGoETgQrBAgD7gPiA98D2APGA6kDiwNvA1EDMgMXAwMC8QLZAr0CowKOAn0CcAJnAl8CUAI2AhYB9QHTAbMBlwGCAW4BUgExARUBAADqANAAtgCiAJIAfABdADkAF//4/9j/tv+V/3T/Vf84/x3/BP7t/tj+x/66/rD+qf6i/pj+jf6D/nv+cf5h/k3+OP4i/gn97f3Q/bP9mP18/V/9Qv0n/Q788/zU/LL8kfxy/FL8MPwM++j7x/uo+4z7cPtS+y37Bvrg+r36mvpy+kb6Fvnm+bb5iflf+Tj5E/jt+MP4lvhl+DP4AvfO95X3Wfcg9u32u/aH9lH2G/Xm9bP1gfVP9R306fSz9Hz0RPQM89fzpvN280bzGvLy8sryn/Jz8k7yMPIR8e3xx/Gn8YrxbfFK8SLw+PDN8KTwgfBj8EbwKPAJ7+3v1O+976bvje9y71fvP+8p7xXvB+8A7vvu7+7c7s/u0+7h7uju4u7c7tzu3e7Z7tXu2+7q7vXu+O7+7w3vIe8z70PvVe9q74Lvn+/C7+rwEfA48GHwjfC38N3xAfEm8Uzxc/Gc8cTx5/IM8jvydfKs8tnzAfMy82bzkfO08+D0HPRb9JD0wPT39TP1bfWi9dj2EfZL9oT2v/b99zn3cver9+j4Jvhh+Jr41fkS+U35hPm6+ez6GPo/+mj6lvrH+vj7KPtX+4P7q/vT+/78K/xZ/If8s/zY/PT9Cf0d/TX9Tf1i/XH9fv2O/aP9uv3Q/d793P3G/Zz9X/0V/Mz8l/yN/LH8+f1V/br+If58/sD+5f7z/vj/Cv8//5oABABYAIcAowDEAO4BFQE2AWABmQHVAgUCKQJMAmgCcAJhAk0CRAI/AiIB5QGkAX4BdAFpAUkBHgDzAMcAjgBYADgAKgAT/+b/uP+a/3X/Kf60/jv94/20/aP9k/1i/P/8gfwV+9P7p/t0+y763fqG+iv5z/l4+R/4vvhf+A33yfeK90n3B/bG9oL2QvYM9db1hPUP9I/0JPPO83zzIvLK8oXyVvI08hHx5/HB8a3xrvG08azxl/GF8Xzxc/Fj8VPxUfFg8XnxjfGT8YrxhvGe8dHx9fHT8WDwyPBE7+/vye/d8Dbwt/EO8OvwR+9b7mDtbuyY7BfsI+yk7TXtfe117VTtRu1N7VntY+1s7XTteO197YbtlO2l7bzt2O357h3uR+5w7pXusO7I7uHu++8W7zTvU+9w74zvqu/J7+nwDPA68HjwvPD+8UDxhfHN8hPyXvKx8wjzWvOm8/P0QfSO9N/1OPWS9dz2C/Ym9jz2VPZu9pL2v/bt9xH3Mfda94r3uffh+Ab4MPhg+JX40PkL+T75avmX+cv5//ou+lz6j/rE+vn7Lftk+5z70PwE/Dv8dPyp/N39Ff1R/ZD90P4S/lb+mP7Y/xf/WP+X/9QAEABOAIsAywENAVIBkQHLAgQCPgJ2AqsC4gMfA2EDoAPdBBsEWwSZBNUFFAVTBYoFtAXYBf4GIwZBBlsGdgaVBrIGxAbPBtkG5gb3Bw0HKgdMB24HjAenB8QH4gf+CBoIOwhjCJIIxgj9CTAJVAlvCZwJ9ApyCusLQAtvC5QLwAvtDAkMEQwODAsMCwwSDCAMNAxIDF0MbQxsDE4MFwvjC80L2gvwC/sL/wwRDDMMUQxbDFoMXwxlDFgMMwwIC+kL0AuxC4wLcAthC1QLPwsnCxcLDwsICwMLBQsVCy8LRAtCCxwK3AqWCmUKTgpBCisKCgnsCdsJ1QnQCcUJtgmjCbQJiwlaCTQJJgktCTkJNwkgCPkI1wjHCMMItAiRCGcITQg+CCcH/wfVB7cHoAeDB2UHVAdXB2cHfAeYB70H5wgLCCUIMwg2CCoIEQfyB9gHwAeiB3oHUgc7BzYHKwcEBsUGiAZbBjEF+wXABZAFcQVbBU0FSwVSBU8FNwUSBPEE1wS6BJgEdwRZBDgEFQP6A+wD4QPLA6kDggNaAywC/ALVAr8CugLBAtAC5gMEAyQDPgNJA0UDPAMxAyQDHQMkAzQDLgL3AqQCYQJCAjACCAHOAZsBdgFUAS8BGQEbASgBLQElAR0BHAEfAR4BDADhAKQAaQBCACoAE//3/9z/x/+w/5f/gf9z/1//O/8N/un+3v7n/vH+7/7i/tH+xf63/p7+ev5e/ln+aP55/ob+k/6d/pP+ef55/r7/K/9j/x3+cf3D/WD9Qv00/Rv8+vza/K78cPwv/AL79vwE/CT8SfxZ/Df72PtS+sf6Tvnn+ZL5VPku+RL47Pi2+H34T/gp9/33yPeU92b3M/by9q32c/ZG9h718/XA9Xz1HvS49Gj0OfQR89bzjPNG8wfyvvJv8izx//HQ8YrxM/Dh8J/wafA48A3v4++x73TvMe7p7ovuCO1p7MrsTevy65vrKuqk6i3p4um26YrpUekY6OToqOhY5/znpOdV5wXmr+ZY5gXltOVl5RnkzuSF5EHkAeO/43XjJeLY4pHiS+IF4b7hcuEg4M7gh+BM4BHfy99/3zfe+t7M3rLep96Z3nreU9453izeEt3Y3ZXded2X3dPd9N3R3W3c/dy+3M7dGt103cHeCN5Q3pHeuN7E3sText7E3qzeeN4v3dfdct0G3KbcYtw73B3b/dvg29jb6NwH3CncU9yK3MvdD91T3Zrd4t4X3ifeGN4D3gXeNt6f3zTf1+Bi4MjhFuFl4cDiJuKT4wHjcePh5FTkyuU65Zzl9OZN5qvnB+dW55fnxefV58Hnq+fH6CnonejH6Hrn9Oez6BnpFOo66yLrsewX7IPs/O1w7dXuOu6w7zrvyPA+8IvwuPDm8TfxrPIj8n3yufLp8xvzTfOA8770DfRo9MH1FfVq9cb2H/Zr9qX22PcP91b3q/gM+HD4zfkh+W/5vfoT+nj67vty+/P8YvzB/SD9lP4g/rX/Ov+W/8f/3f/2AB4ATQBzAJkA1gE8AcACSwLOA0sDyQRCBK4FCwVlBckGOgatBxgHfQfoCFsIzgk4CZoJ/ApmCtYLRwu1DB0MfAzVDS0NiQ3bDgoOCA3ZDZANSA0sDXkOTg+BEKcRchHrEk0SrRLwEwsTKhN9E/AUSBRsFHcUdBQzE30SYxFKEKQQphE1EgAStBMqE28TphPcFAQUFBQTFA0UBhQAE/4T/hP4E+oT3RPcE+MT5RPdE9ITyRO+E7MTsRO/E9gT8BQCFA0UExQfFDgUYBSFFJYUlhSYFKcUuxTHFM0U2hTuFPsU/BUAFRIVKRUpFQkU4xTUFNwU3xTHFJ4UfhRwFGwUZxRrFIUUshTgFQQVIxVHFWEVWBUtFQ4VJRVdFWYU7hPeElQQfg6bDQcMLwxRDUUOlQ/PELgRSBGOEZoRhRFsEWQRZhFZESsQ5hCqEIgQcRBFEAAPvA+TD4IPcg9XDzUPDQ7aDqEObw5HDhkN2g2ZDWoNSg0mDPcMxgyXDGkMSQxSDIEMoQyDDDgMAAv3C/wL6gvDC6MLiQtkC0MLWAutC/4L8gt+CvcKtAqwCrEKngqiCtsLHQsbCsMKSwnpCaQJdQlfCVgJOgjwCK4IwwkwCZkJoQk/CK4IJgfEB5IHiweQB4MHYwdIBzoHLgcTBu8GzgaxBpQGcwZJBhQF5QXUBd8F5gXUBbUFnwWSBYkFjAWlBbsFogVZBRME+wUEBQUE7QTHBKAEdgRSBEkEWwRnBEoECQPMA7QDvwPSA9wD4APsBAMEGwQpBC4ELQQoBB4EDAPzA9YDugOlA5wDngOkA6kDqQOnA6cDsQPEA9UD1gPKA8EDwQO/A60DkgODA4oDlgOZA5QDlAOhA7QDyQPgA/oEFQQuBEUEWQRlBGsEcAR6BIYEjASGBHYEYQRHBCkEDQP9A/cD7wPbA7wDngODA2cDSQMwAx8DDwL7At8CwwKoApICggJ8AnkCbwJXAjUCEAHqAccBqgGVAYEBZgFIAS4BGgEEAOgAzwC/ALUAogCEAGIAQwAmAAb/4/+//5v/ef9Z/zv/IP8G/vH+4v7Y/tD+x/68/rH+p/6f/pf+jP56/mb+Uv5A/iz+Ev31/dj9vf2f/Xz9Wv09/ST9DPzw/NL8sfyQ/Gz8R/wj/AH74fvD+6f7jPtu+0n7Ifr6+tf6tPqN+mH6MvoA+c75nvly+Ur5Ivj6+ND4ovhy+EL4FPfj96v3cPc59wj21vag9mn2NfYD9dH1nvVr9Tj1BPTR9J30afQz8//zzfOb82nzOPMN8uXyu/KT8m/yT/Iu8gnx5fHF8ajxiPFl8UDxFvDp8L3wmfB98GLwRPAk8Abv6e/N77XvoO+J73DvV+8/7yvvGu8Q7wvvAu717uzu7u727vju8+7y7vfu+e7x7uru7+797wXvBe8K7x3vNe9J71fvZ+9875Xvs+/W7/3wI/BG8Gvwk/C88OTxDPE08VrxgvGt8dfx/PIg8lDyivK98uLzBfM383PzpfPI8+z0HvRZ9JH0xvT+9TX1Z/WW9c72D/ZS9pH2z/cM90X3e/ez9/H4Lvhm+Jz42fkZ+VT5iPm7+e76IPpQ+n76q/rW+wL7Mvtj+4/7tPvb/Af8NPxc/IL8qvzQ/O39Av0Z/TT9Tf1f/W39fv2V/a/9yP3f/fD9+v39/fr97v3R/Z79Wv0Y/Or83vz4/T39p/4q/qj/Af8d/wX+4v7p/yv/jP/bAAYAIABEAHgAsQDoASMBZQGqAe0CLwJtApgCoAKIAmQCTQJFAjkCFAHbAagBjgGCAXEBUAEjAOsAqABtAEsAPgAp//z/yf+l/4X/SP7i/m3+EP3b/cD9o/1m/QX8n/xW/DH8EfvZ+4z7Ofrg+nv6Dfmg+TD4vfhR9/n3svdr9xv2yfZ89jb19/XF9ZX1UfTs9Hv0GfPM84PzM/Lg8pbyWfIh8eXxp/F48WfxbfFv8V3xQfEx8S7xKfEd8RbxJfFO8YbxuPHS8c3xxPHW8f/yEfHa8V3wyPBC797vtO/j8Grw+fEh8K/v2u8D7lXtu+0n7MbszO0r7ZPtve2n7X/tZO1a7V7tbO1+7YztlO2f7bHtxO3U7ebt/u4b7jjuWu5/7qDuuO7J7tvu9O8P7yrvRO9b73Lvi++p78vv8vAj8F/wn/De8R3xYfGp8fPyP/KR8ubzOfOJ89X0H/Rp9Ln1FvV09cH19PYW9jL2S/Zm9on2tfbg9wH3H/dF93f3qvfa+Aj4NPhg+I/4xfj++TH5XvmL+bz57foa+kb6dvqo+tn7Cvs9+3D7ovvV/Av8QPxz/Kf84f0g/WH9o/3q/jH+dP6z/vP/Nf94/7n/+AA4AHUAsgDxATIBcAGpAeACGAJQAoYCuwL1AzMDcAOvA/AEMQRtBKUE3wUbBVEFfgWlBcwF9AYbBj4GXwZ6Bo0GlgabBqIGsQbIBuUHBQcnB0cHZAeDB6QHxQfhB/sIFwg9CGkImQjFCOcI+wkOCUAJqgpACtQLPAt1C5gLvwvrDBEMJgwuDC0MKwwqDCsMMgxADFMMXQxODCUL8gvPC80L4wv8DAcMDQweDD8MYgx1DHwMgwyKDH4MWAwoC/8L4Au/C5gLdAtaC0QLLQsZCwwLBQr+CvgK/AsMCyILMAspCwUKzAqTCm0KXQpSCj4KIwoRCg8KDwoGCfIJ3gnNCcsJqwmCCV8JSQk+CTQJJgkOCO4I0gjDCL8IsQiOCGAIPggrCBYH8wfKB6sHmAeJB3sHcwd2B4UHnQe6B9kH+AgVCDAIQwhFCDMIEwfwB88HsAeSB3IHVgdEBzwHLQcJBs8GkwZhBjQGAAXJBZ0FfgVlBVEFSAVGBTsFHQT5BN4EzQS2BJEEaQREBCEEAgPsA+ED1QO6A48DWgMlAvgC1QK9AqsCngKYAqACtQLRAu0DAQMLAwsDCAMDAvsC9gMCAxoDHQLtApcCSAIcAgIB2wGmAXgBWgE8ARkA/gD0APYA9gD0APUA+wD+APsA6wDFAIwAUAAkAAf/7//W/8D/rf+W/3z/Y/9O/zX/Ev7q/sn+tf6w/rb+uv6u/pP+fv6G/qD+r/6k/o7+hf6V/r3+7/8S/wz+4/7H/uf/L/9N/v7+WP2w/Uj9HP0D/Oj8z/y4/Jf8Xvwa++T7zvvU++v7//v6+8f7Y/rl+mf5+fmY+UX5C/jv+OL4yvia+F34J/f59833nfdu90D3CvbF9nz2QPYV9fL1yfWU9Un06vSJ9D70CvPY85XzSfMA8rnyZ/IT8dHxoPFs8Sbw1/CO8E3wDO/R76bvhe9e7yvu9O637l/t2O0z7JrsK+va633q/Opu6f3pvemY6W3pMuj16Lzoe+go58zncuce5szmeOYm5dPlgeUy5Onko+Rc5BTjz+OJ4zvi5+KW4k3iB+HC4X7hOODq4JngUOAU39vfl99L3wDewN6Q3nTeaN5e3kbeJN4L3gTd9d3F3XndOt0v3Vrdkd2Z3Vfc6NyN3Hvcud0h3Ynd5d443nveoN6m3p/en96i3pTead4h3cHdVNzm3IzcUNwp3AXb3du927Lbu9vR2/HcH9xe3KPc5t0p3XHdu9343hveJ94m3ireR96P3wrfouAy4KDg9OFF4aHiCeJ54u3jY+PX5Evkw+U45Z3l9OZM5q/nEOdg55jnuOe4553nkOfG6ELotOi96E/nx+eq6DnpS+pz61nr6exF7Jrs+u1f7cXuNO6871rv9vBs8Knwv/Da8SLxmvIh8pby6vMj80zzcPOc89j0J/SB9Nz1N/WU9fT2Uvaj9uH3EvdF94T31Pgu+Iz46vlG+Zz58PpI+q37Ivuh/B38i/zv/VX9yf5R/uP/bP/RAAoAKQBNAIUAwQDrAQoBPgGbAhMCjQMCA3oD9wRvBNsFPwWlBg8GfAbnB08HtQggCJQJCgl2CdcKOgqoCxsLiAvxDFwMxQ0eDWkNuw4ZDmoOhQ5gDhANuA2HDbsOgQ+8EP0R3BJOEpQS4RMnE00TZxOgE/oUUhSIFJcUeRQWE10SZBFnELAQgBDxEdASuBNUE6AT0RQLFD4UUxRRFE0UThRKFEEUOxQ0FCYUFBQKFAwUDxQMFAcUAxP7E+0T6BP1FA8UJRQxFDYUOxRGFF4UhBSsFMMUxxTMFN0U7xT6FQEVERUkFSwVKxUyFUYVURU9FRMU8RTmFOYU2RS7FJgUfhRyFHAUdhSGFKUUzxT4FRYVLRU/FUIVJxT/FOkU9BT0FKMT1BKHENkO/A1IDDMMFgzpDkEPmxClEVMRthHeEdYRthGaEZIRkBF2ETgQ7BCyEJMQeRBMEA4P2A+4D6gPlQ93D1EPJA7yDrwOiw5fDjUOCQ3dDakNYw0VDOMM4wz6DPQMwQyMDIAMjwyLDGIMNgwfDA8L7wvIC7ELpAuGC14LXQufC+wL7guUCywLCAsaCxAKxgp0Cl8KgAqSCnEKOgoPCesJvQmPCXAJUQkYCNAIqAi1CNQI1giuCGsIHQfXB7IHtwfKB8IHlgdmB0oHPQcwBxoG/gbfBr4GngZ7Bk0GHgYEBgAF/wXvBdYFwgWxBZ4FlgWnBboFpwVpBSwFFQUeBSEFCgThBLQEiwR0BIAEpQS5BJYERQP1A84D0QPjA/AD9wQDBBoEMgRDBEoESwRIBD4EKgQQA/ID0gO2A6cDqgO6A8kDygO+A7QDuwPVA+wD7wPfA8wDwQO3A6QDkAOOA54DsAOxA6cDogOsA74D0wPsBAoELQRNBGUEcgR2BHcEfQSIBJQElgSOBIEEcwRgBEYELAQZBA8EBAPxA9QDtQOZA30DYgNLAzwDLwMdAwQC6ALNArMCnwKSAooCfQJmAkgCJwIGAeYByAGwAZcBewFfAUkBNwEgAQUA7gDiANkAxwCqAIkAaQBLACkABv/l/8b/pv+F/2b/Sf8u/xf/CP79/vL+5v7Y/sz+wP6y/qP+k/6A/m3+W/5K/jf+H/4F/ez90v22/ZX9df1a/UT9Lf0S/PT81fyy/Iv8Y/w+/B77//vg+8H7ovuB+137NvsQ+uz6x/qf+nT6RvoW+eP5s/mF+Vr5L/kF+Nr4rfh8+Ez4Hvfv97v3hfdS9yP28va99ob2UvYh9fD1vPWG9VD1G/To9Lj0iPRW9CTz8vO/84vzWPMr8wLy2/K28pTycvJN8ibyA/Hk8cXxovF/8VvxNPEI8N3wuvCe8ITwZvBG8CXwBO/k78nvte+g74fvbe9V70LvMe8l7x3vFu8O7wjvB+8J7wbvAe8D7wvvDu8I7wPvCe8U7xjvE+8X7yvvRu9a72jveO+O76nvx+/q8A/wMvBS8HPwlvC98OfxFPE/8WXxi/G28eLyCPIv8mDym/LP8vDzDfM783nzsPPV8/b0I/Ra9JP0yvUC9Tb1ZPWT9c72E/Za9pv22vcX90/3hPe89/n4NPhq+KL44fki+Vv5jvnB+ff6Lfpg+pH6vPri+wn7OPtq+5X7uvvj/BP8QPxi/IH8ovzH/Of9Av0d/Tb9R/1R/V39dP2U/bL9zP3j/fj+Cf4W/iT+NP4//jn+HP3n/aX9Zf06/TT9Yf28/jH+l/7N/s/+v/7K/wT/Uv+O/6n/tf/I/+8AJgBrAL8BHAF8AdsCMgJ3AqICswKtApcCfgJwAmwCWQImAeMBtAGmAaQBkQFgARsAzgCKAGEAUAA9ABb/4v+2/4//VP78/p3+Uv4i/f39zf2I/TP86Py4/Jz8dvw4++v7m/tB+tP6VfnT+VH4zPhQ9+33n/dU9wL2sfZn9iT16fW79ZX1ZfUm9OL0qvR19DDz1fNv8w/yt/Jc8ffxlPFK8SfxHvEO8Ovwy/DD8MzwzvDD8L7w2fEc8XjxzfH78fzx9PIH8iryIvHK8T7ws/A679jvr+/18JnxIPED8DPvIO5L7c/teO0j7PHtC+1k7brt2u3G7Z3td+1g7WPtfu2e7bPtvu3O7eXt+u4H7hXuLe5J7mDud+6R7qvuvO7G7tPu6O8A7xjvMO9H717vd++W77nv4PAM8D3wc/Cr8OXxJ/Fy8cXyG/Jw8sHzEPNe86rz8vQ69Iz06/VK9Zn10/X+9iL2QPZc9n32p/bP9u/3Dvc192X3mPfM9//4MPha+IT4tfjs+SD5Tfl3+aL5zvn5+iX6VPqE+rL64vsU+0b7ePut++P8F/xH/Hv8t/z3/Tj9e/3D/gv+Tf6L/sv/Dv9R/5P/1gAZAFgAlADSARMBUwGOAcYB/gI4AnACpwLeAxYDUAOOA88EDwRKBH8EswTnBRkFRQVtBZMFuQXiBgwGMQZLBlsGZAZtBnkGjAamBsQG4Qb+BxwHPQdgB4UHpwfFB94H+ggbCEMIbQiQCKUIrwjECQcJjAo5CtcLOwtpC4ILowvMC/QMEQwnDDgMQQw9DC4MJAwuDEUMTgw2DAgL4QvUC90L8gwHDBgMJww7DFcMdQyLDJcMoAyoDJ8MfQxLDBsL9AvPC6ULfAtYCzsLIwsVCw8LCAr7Cu4K7wr+CxILGwsRCvEKwgqTCnIKYQpSCj4KKwonCjEKNwoqCg0J8gnfCc0JswmUCXYJXAlCCSkJEAj5CN4Ixwi8CL0IswiNCFMIIAgEB/MH2ge6B6EHmAebB50HnQehB68HyQfmB/4IEggpCEEIUAhKCDEIEQfyB9IHsAePB3UHYAdNBzoHHwb4BsUGkAZiBjYGBgXVBawFjAVvBVUFRAU7BSsFCwTpBNMExQSuBIUEVwQwBBAD9APbA8UDrwOOA2EDKwL2As0CtAKlApQCgQJ4AoAClAKqAr0CzgLaAtwC1wLRAs4C0QLhAvkC/gLUAn8CKAHtAcUBnAFtAUkBMQEYAPcA2wDMAMcAwwDDAMkAzQDHALgApACIAF8AMQAI/+j/yv+t/5T/fv9n/1D/PP8o/w3+7f7Q/rj+n/6I/n/+fv5v/kv+NP5W/qz+/P8S/vH+yP7F/vb/RP+H/5j/ef9S/0r/Uv8y/sf+K/2b/Tv9Bfzf/MD8qfyV/Hj8SPwP+9r7uPup+6f7pvuT+1/7Cfqi+jv53vmH+Tj4+/jZ+Mj4sPiA+EH4BPfS96b3efdJ9xX21vaM9kP2CfXh9cH1l/Va9Qf0pvRJ9AHzy/OS80ry9/Kn8lzyGPHb8aPxY/ES8LzwdfA98ADvtu9x70PvJu8E7tvuse597iLtk+zt7GDr/+uw60nqweo46dbpoOl96U7pDujM6IzoR+f356DnRubt5pXmReX55avlV+UG5L/kfOQ14+njn+NU4wHiqOJU4gzhyuGI4UXg/+Cz4GLgGN/b36LfYN8U3sneid5X3jfeKd4j3hTd993c3dHdyN2n3WDdC9zY3OPdHN1J3Trc6dyI3Frcf9zl3Vzdwd4O3kPeYd5l3lreTt5F3jXeE93X3YDdGdy53HXcTNwp2/fbvtuS24Pbitud27vb69ws3HTcutz/3Ubdjt3Q3gXeKd493kfeV96I3urfcN/54Gvgx+Eg4YLh7OJf4tnjV+PT5Ezkx+U+5aXl/uZa5sDnIudu553nrued53Xnauex6DvopuiY6CHntefK6H/pl+q365jsJ+x67LrtAu1Y7bruMu7H73XwHPCY8Nfw8PEL8UvxtvI78rzzIfNg84DzmPO88/b0Q/Sa9Pj1WPW69h72gvbd9yP3Uvd797H3+/hO+KP4+vlX+bj6Gfp6+uH7TvvA/Df8r/0q/aL+GP6T/xr/pAAWAFoAfACkAOUBKgFYAXUBpgH+AmwC2QNBA7EEKASaBQUFdAXmBlEGsgcUB38H8QhkCNcJTQm9CiMKiArzC10LvgweDIsM/w1iDa4N/Q5jDscO/g70DsMOlQ6LDsgPbBBpEXYSPhKrEuoTLBNzE6YTwhPfFBEUVhScFMsUwhRsE88TAxIeEUEQthDOEZESlhNhE8gT/xQ7FHQUjhSPFJMUnhScFIgUdRRtFGUUVBRCFD0UQRRFFEYUQxQ5FCoUIhQuFEMUUhRVFFgUYBRsFIIUqBTVFPQU/RT/FQgVFxUjFTAVRRVYFV8VYBVqFXgVcBVLFR4VAxT4FOcUyxSuFJkUiRR+FHoUghSWFLQU2xUDFR4VKBUjFRAU8hTRFLMUfhQAExwR4hB0DuwNdgxoDCcMzg4PD24QlBFoEe4SKxItEgsR5BHIEbgRoxF4ETUQ8hDAEJ0QeBBJEBgP9Q/fD8oPsA+PD2kPQA8VDuoOvg6PDmMOPw4dDeUNjg0+DTINfw3iDfcNmw0RDLYMogymDJUMdAxXDDoMEgvmC8sLtguQC2ILWAuGC70LtQtrCycLJwtNC0UK5wpmChUKDAoiCjEKNAotChAJ2gmlCYwJgglaCQcIqwhwCF0IXQhdCE0IKwgBB+gH7Qf8B/UH0AegB3kHXAdEBzAHHAcBBt8GvQaeBn0GWgZABjIGJwYYBggF+wXmBcMFpgWiBasFngVxBUMFMgU1BTIFGgT1BM0EqASRBJUEqQSsBIcEQQQAA+ID6gQABA8EEAQPBBoEMQRJBFkEXgRZBEsENgQfBAgD7wPWA8IDvgPLA9sD3gPOA70DwAPZA/MD+wPtA9kDywO/A7EDpgOsA8AD0gPUA8sDxQPNA+ED+QQSBC4ETgRvBIcEkgSSBI0EigSLBI4EkQSRBI0EggRwBFgEQAQsBCIEGwQQA/sD3QO6A5gDegNiA1EDQgMwAxsDAwLtAtcCwgKvAp4CiwJ0AlwCRAIqAg4B7wHRAbQBlwF/AWoBVwE+ASMBDwEDAPkA5QDIAKgAigBqAEoALAAS//j/2v+6/5v/ff9g/0X/MP8g/xL/BP74/uz+3f7I/rH+nP6K/nn+Z/5V/kH+Kv4T/fz95f3K/a39kv17/Wf9Tv0y/RP88/zR/Kv8gvxd/Dz8Hvv9+9n7tfuQ+2v7R/sk+wD62vqx+of6W/or+fr5yfma+Wz5PvkS+Of4uviJ+FX4JPf098T3k/dl9zj3CvbY9qP2cPY+9gz12vWl9W71NvUB9NH0pfR39Eb0E/Pf86vzevNM8yLy+/LZ8rjylfJt8kTyIfIB8eHxu/GW8XLxTfEj8Pnw1/C88KLwhfBn8EjwJvAD7+bv0O+676Dvhe9v717vT+9B7zfvMO8p7yPvIO8e7xjvE+8U7xzvIe8f7x7vJ+8w7y/vKO8r7z/vWe9t73zvje+k78Dv3e/98B/wPvBc8HvwnvDF8PDxHvFJ8W/xkvG78ebyDvI18mfypfLc8v7zGfNB83zzs/Pd9AL0MPRm9J300/UK9T/1cfWl9eH2I/Zj9p/22/cZ91P3i/fE9//4OPhu+Kj45/kl+V35kvnJ+gL6Nvpm+pX6wfrp+xH7Pvts+5T7ufvl/Bf8R/xq/Ib8pfzH/Of9Bf0f/TH9N/06/Uj9Zv2M/a/9zf3n/gD+Fv4r/j/+Vf5q/n/+jP6I/mz+O/4B/c39r/2v/cz99f4d/j3+Yv6Z/uP/Lv9l/4H/if+I/4r/n//XADMAqwEwAbICGwJgAogCqALIAtoC0gLCArkCqQJ1AicB6QHZAd0BzAGWAUsBAAC9AIsAbQBTAC7//v/Q/6H/Y/8U/sv+m/55/kz+DP3C/X39Rv0f/Pr8yfyI/D376fuD+wX6e/nx+Wb41PhG99D3dPcm9t/2pPZ39lD2KfYF9eb1yvW19a/1sfWb9U/00vRH88rzXPLs8m3x7PF/8TfxBPDO8JPwbPBj8GbwW/BF8ETwcvDQ8UXxrfHo8fjyBvI08mDyQvHA8RPwfvAO77zvrPAU8M3xPvDe77/ufu2i7Tjs/uzQ7M7tFe2K7ezuEe397crtku1x7XftoO3K7d7t5u327hLuKO407kPuXe537ojuku6g7q/uuO697sfu1+7r7v/vF+8w70nvZO+F763v1O/58CHwT/CC8Lfw8/E78ZDx6vI/8ozy1vMi83DzvPQH9Fr0uPUV9WX1pvXb9gj2K/ZK9m32lPa69tv2/vcp91j3hve29+n4GvhG+G/4oPjX+Qv5OPlf+Yb5r/na+gr6Ovpp+pb6xfr4+yn7XPuS+8n7/Pws/GD8m/zb/Rr9XP2j/ev+LP5r/qv+7f8v/2//sv/2ADYAcgCwAPIBMwFxAaoB5AIfAloCkwLLAwADOAN1A7MD8AQqBGEEkgS/BOoFFQU+BWEFgQWlBc0F9AYRBiYGOQZLBlwGcAaKBqUGvQbWBvUHGwdCB2UHhQekB8EH3Af6CBsIPwhdCG0IdAiOCOIJfgo7CtgLLgtNC2ELfwukC8AL1gvzDBkMMwwwDBUMAgwQDC8MOQweC/cL5wvwC/8MBQwODCIMPQxXDHEMjAyjDK8Mtwy6DLMMlAxkDDAMBAvbC68LgwtbCzkLJAseCyALGgsFCu0K5QrwCwELBwr7CuEKvQqYCnkKZApRCj0KLgouCjgKPAovChMJ9wniCcMJqQmQCXoJYglECSQJBwjtCNQIvwi6CMAIuAiNCEUIBAffB9AHwAeqB5sHngeuB7wHvwfAB84H6QgICCEINQhMCGIIZwhTCDEIEgf6B98HvAeaB38HaAdNBy0HCAbgBrQGiQZgBjgGDAXgBboFmwV7BVwFRQU2BSUFCwTtBNYEwwSmBHwETwQpBAkD6APEA58DewNZAzUDCgLaArACkwKBAm4CXQJaAmcCegKFAo8CnAKpAqgCnAKTApYCowKyAsACvAKUAkgB8wGtAXoBTgEoAQwA+ADgAMEAqQCfAJsAmACYAJsAlgCDAGgAUQA+ACQABP/j/8b/p/+G/2b/R/8p/xT/Cv8A/ur+zP6z/p/+gv5g/kj+Pf4o/gD97v4q/q//NP9s/1L/Hv8M/zP/fv/D/97/zv+v/47/XP78/nP95v16/TL8+/zM/Kn8k/x+/GP8QPwY++37wPuV+2/7Tvsq+vn6tvpn+hf5yfl8+TL48vjD+KL4gPhR+Bb33Peq9333T/cZ9tr2k/ZH9gH1y/Wo9Yn1XPUV9Lb0UvP687fzgPND8vTymfJE8gXx5fHT8avxU/DY8GjwIO/y77nvb+8u7wTu5u7D7p7ufu5M7eLtP+yT7BPrwut16wnqhuoQ6cPplulq6S3o5Oic6FfoEufH53bnHubB5mfmGuXU5YnlM+Tf5JbkUuQK47vjbeMg4svicOIb4dXhl+FY4RLgx+B34Cbf3N+e32bfJ97e3pPeUt4d3fnd593m3ePd0N2y3Zjdh91q3S7c2NyP3HzcpNzj3QTc59yf3GjceNzT3Uvdqt3d3fXeBN4L3gPd7N3P3bTdmd1u3Svc2NyP3GPcSNwf29fbg9tI2zjbSNtk24fbt9v13D3ch9zQ3RfdXN2f3d/eFd443kreWd5/3s/fQt/A4DLgmeD+4Wfh1eJJ4sjjT+PV5Fbk0eVF5avmCOZp5tHnMOd155rnn+d950jnO+eM6B7oguhq6AHnxegR6OPp8+r768vsUuye7NPtD+1c7bvuNO7T747wP/DC8Q/xO/Fj8Z3x9PJm8uTzUfOX87jzyvPp9B70ZvS69Rf1ePXZ9j32qPcQ92D3kPex99/4Jfh1+ML5EPlr+dL6Pvqo+w/7c/vb/E781P1n/fb+dP7s/3IAAwB9AMIA3AD6ATYBfQGqAcYB9gJOAroDIgOHA/cEawTYBUMFtgYtBpQG7QdNB8UIRgi9CSwJnwoSCnsK2QsyC4oL3gw2DKINHg2SDfEOSQ6wDxkPYg+AD44Prw/uEEcQvBFVEgESmhMFE0sTiBPGE/0UHxQvFEEUcBTCFRwVSRUsFM0UQBN9En4RhBEQEW8SXhNJE9cUJBRpFKoUyxTQFNkU7BTtFNIUtRSsFKwUoRSLFH8UfxSDFIIUexRuFF8UWBRiFHMUfhSAFIUUjxSbFK4U0hUCFSUVKxUjFSUVMhVCFVUVaxV/FYgVjBWYFZ8VjBVgFTgVIxURFO4UwhSiFI4UeBRdFEwUTRReFH4UqxTaFPUU+BTqFNMUrhR0FBUTaxJaEPgPjg5XDV4Mrgx/DQkOKw92EIsRWhH6EmISfhJZEiIR/hHsEdcRsRF6EToQ/xDOEKMQcxBDECAQDA/+D+cPxw+jD3wPUg8sDwwO7Q7FDpoOdw5TDhgNwg2BDZcOCQ6BDowOEA1gDOsMzAzUDNAMvAynDIsMXwwtDAML1guZC2ELVAtzC4kLZQscCvELBQsxCzIK7QqFCjAKDAoWCjkKVQpNChYJywmcCaMJvwmyCWAI6AiGCFUITwhcCGoIcghyCGkIVwhACCsIHQgOB+0Htgd6B1IHPgcpBwUG2wa5BqIGlQaKBnwGZgZPBkEGNwYdBe0FuwWhBZoFiwVtBVEFRwVFBToFIQUEBOgEygSuBJoEjAR1BE4EHgP4A+wD/QQZBCkEIAQNBAkEIQRHBGUEbwRnBFYEPwQpBBkEDAP9A+gD2APYA+UD7gPmA9UD0QPjA/8EDwQKA/sD7QPiA9kD1APXA+QD8QP0A+4D6APuBAQEIgQ7BE4EYQR4BI4EnQSiBJ4ElgSNBIgEjASUBJYEiwR2BF8ESwQ6BC8EKwQoBBwEAQPdA7kDmAN9A2QDTwM5AyMDDgL8Au0C3wLPAr0CqQKVAoECagJRAjQCFAHyAdQBuwGoAZYBfwFiAUYBMgElARcBAQDmAMkArQCQAHQAWwBGAC0ADv/u/9D/tP+V/3T/V/9B/zH/Jv8e/xP/Av7p/s7+uP6m/pX+g/5w/lr+Qv4q/hL9+v3g/cX9rP2W/YD9Zv1I/Sn9C/zq/Mf8ofx9/Fz8Pfwb+/X7zful+3/7Wvs2+xL67frG+p76c/pE+hP54vmx+YD5UPki+Pf4yviZ+GP4Lff598r3nPdx90f3G/bt9r32jPZa9in1+fXI9ZT1W/Uk9PL0xvSZ9Gj0NPP/88zznPNv80XzHPL48tfytPKM8mLyPfId8fvx1PGt8YjxYvE28Qzw7PDS8Lrwn/CE8GjwSPAm8Ajv8O/Z77/vpO+P73/vcu9l71rvUe9I70DvPO847zHvK+8q7y/vNe837zvvQ+9K70nvRe9M72Dvd++J75fvqO+/79nv9fAT8DDwS/Bn8Inwr/DX8QDxKvFT8XjxnPHE8e7yFfI88m3yqvLk8wzzKfNQ84bzvPPq9Bb0R/R89LD04vUX9U/1iPXB9fz2NvZs9qD22vcY91X3kPfK+AP4O/hx+Kv46fkj+Vn5kPnM+gb6Nvpi+o/6v/rs+xj7RPtu+5X7uvvm/Bj8Rfxq/Ir8qfzJ/OT8/P0P/Rr9H/0n/T39Yf2J/a79z/3r/gT+H/4+/l7+dv6H/pz+uP7V/ub+5P7O/qf+c/44/f390f2//c/9//5C/o3+1f8Y/1L/dv97/2j/Wf9v/7gALAC7AU8BzAIeAlEChwLLAwQDFwMQAwMC7QK2AmMCIwIOAgwB7wGxAW0BMwEAANIAqQB/AEoAD//g/7j/hP9B/wj+6f7P/p3+Uf4E/cr9nP1v/T79B/zJ/H78HPue+w36efnr+Vr4vPge95b3MPbn9rr2rfa69s721vbK9q72kPaE9pj2t/aw9l71zPUs9KP0NPPK81by2vJh8fPxivEf8MLwhvBn8ETwDO/Z79jwGPCF8P3xZfGr8djyDPJY8ozyWfGy8N/wNe/K75fvtvBE8P/xSPCr71/uEe067NTsm+x77JrtDO2n7iLuUe447fPtqO187YPtr+3b7e7t9e4I7ifuQe5Q7mPuf+6Y7qHuoe6l7qzusO6z7r3uy+7a7uzvA+8d7zTvSu9s75jvxe/r8BHwP/B08Kjw3fEa8WTxtvIE8kzylPLi8zTzhfPU9Cj0gfTY9Sj1cPWw9eX2DvY09l/2jPaz9tT2+vcn91X3fvem99P4Afgt+Fj4ivjA+PX5JPlP+Xf5n/nN+gD6Mvph+o36vfrv+x/7T/uE+7v77/wg/FT8j/zM/Qn9SP2O/dX+Fv5U/pX+1v8W/1T/lv/YABgAVACSANMBFAFRAYsBxQIAAj0CeQKxAugDIQNeA5kD0wQMBEQEdwShBMkE9QUiBUYFYgV/BaMFxgXjBfwGEwYmBjYGSgZlBoIGnAa2BtoHAwcqB0oHZweGB6MHvAfVB/AIDggqCDsIRAhfCLcJWgogCr8LEQsrCz4LXQt5C4ILiAukC9YL/Qv9C+EL1AvtDBUMHgwDC+wL/QwiDDQMKgwhDDEMTwxsDIUMowy+DMoMyAzBDLMMlQxmDDQMBwveC7MLiQtjC0ILLwssCzMLLgsUCvMK4wroCvUK+AruCtsKwwqnCooKbApSCj0KMAosCisKJwoZCgYJ8AnbCbAJlQmBCXEJXQlCCSMJBAjmCMsIugi6CMIItwiGCDoH9QfOB78HswekB6AHrQfFB9YH2AfYB+MH/wgfCDsIUwhtCIAIfQhfCDgIGggFB+4HzgesB4wHbQdKByQG/gbYBrEGiQZiBjsGEgXrBcoFqwWIBWQFRwU0BSYFEwT7BOAEwwSiBH0EVgQtBAID1AOiA3MDTAMxAxwC/wLUAqECdwJZAkICNgI8Ak0CWwJcAlwCZQJvAmkCVQJKAlMCYwJpAmMCUgIwAfYBrQFoATEBBgDmAM8AugCfAIMAcgBxAHMAcgBuAGkAXQBFACwAGQAJ//P/1/+9/6j/kf90/1D/Jf75/tn+zv7O/sP+qf6N/nX+Wf43/hz+Cv3u/cX9vP4J/qT/P/+M/4H/VP8+/1X/iv+3/8b/u/+l/4H/MP6o/gr9jP1E/Rj87Py9/Jv8hvxx/Fj8QPwo/AT7y/uE+z36//rK+pj6Yvon+ef5pflj+SD43vih+G74Q/gZ9+r3tveE91T3Ifbm9qD2VPYH9cH1i/Vn9Un1GfTK9GTz/vOs827zNvL18qTySvH48cjxwvHI8aLxNvCj8Cnv4e+v73PvLu777trutu6K7mjuU+4f7aHs6Ow368XrhetA6tnqY+oF6cjpmOlZ6Qnotehr6Cnn5uee507m9uaY5j7l8+Wv5WTlDuS35GvkJePZ44jjOuLu4pziQ+Hu4abhaOEo4N/gkeA/3+7fpd9n3y7e796m3lveGd3k3bzdqN2p3bLdrN2O3WLdON0R3N3cl9xR3CvcOtx13LXczdyx3Ijcjdza3Undmt2z3a3drN213a/djd1d3TXdHd0G3Nzcotxx3FTcO9wA25rbLNrn2tza+dsj21Dbgtu+3AXcU9yf3OXdJd1p3bDd8t4g3jneTd5y3rnfH9+U4AngeeDn4VbhxuI84r7jSuPW5Frk1OVE5armDOZy5trnM+dv543niedb5x/nGOd16AnoYuhE5/Hn6ehq6VHqVOtA6/rsdOy57OrtJu1w7cnuP+7k76nwYfDn8T7xfPGy8enyL/KQ8wbzd/PG8/D0CfQn9Ff0l/Tn9UL1oPX99l72zPc995f3zffv+B34YPiq+PD5OfmS+f36bvra+z/7oPwF/Hj9BP2h/jz+x/9O/+IAfgD5ATEBOAFHAXsBvQHoAf8CLgKGAvQDXwPKBEEEuQUmBY0F+wZtBtIHLgeYCBwIogkWCYAJ8AplCsoLGgtiC7AMBgxkDNANSA2/DikOjA7yD1kPsQ/5EEgQtBEzEaYR/BJFEp4TChNuE7QT4RQMFD4UaxSDFJAUtRUMFYEV3xX+FeQVoRUaFCES1hHMEZQSMhMdE9AUOxSNFNkVBxUUFR0VLxU1FR4U/xT1FPgU7xTZFMYUwRTAFLgUrRSgFJMUjBSRFKAUrhS3FL4UwxTHFNQU+RUrFU0VTxVDFUYVVxVqFXkVixWeFagVrBW0FbkVqBWCFV4VRRUnFPcUwRSTFGUULRP2E9MTyhPYE/8UPhR8FKAUpRSaFHoUKBOTErkRmBA3DswNsg0aDO0NCg2EDnUPqRC0EWQR4RJSEp4SmxJbEh8SCxIGEfARxBGNEVERFRDcEKgQdhBLEC8QIhAVD/wP2A+xD4YPWA8wDxgPBw7xDtAOqw6ADkIN9g3GDeEOPQ6GDmUN2w1DDPQM8Az+DPwM8wzuDNsMsQx9DEsMCQuwC2cLWwt4C3sLRAr/CuQK9AsCCvQK1QqvCoEKVwpNCm8KlwqPCkYJ6Am1CccJ9Qn9CbsJRgjYCJUIfAh+CJgIzAkGCRUI4AiJCFAIWAh5CHIIKgfKB4UHaQdYBzcHBwbcBsgGygbSBsoGrAaGBm4GXwZBBgwF0gWrBZcFhQVuBV8FWwVWBUUFKwUWBQME7QTQBLAEjQRoBEAEGQP+A/cEBwQjBDEEIgQEA/kEEwREBG0EewR0BGMETQQ3BCoEJQQgBA8D9wPqA/ED/wQCA/cD7gP6BBcEMQQ4BCwEGwQOBAkEBQQBBAEEBwQOBA8ECwQQBCcERgRcBGMEZgRzBIcEmgSlBKgEogSWBI0EkAScBKEElAR9BGoEXQROBD0EMQQqBCEEDAPxA9cDvwOkA4YDaQNPAzYDHAMGAvkC8gLqAuAC0wLEAq8CkgJyAlACLQIMAfAB3QHRAcMBrAGPAXIBXQFNAToBIgEIAO8A1gC8AKEAigBzAFgAOQAa////5f/F/6H/f/9m/1X/S/9D/zn/J/8O/vP+3P7I/rb+o/6Q/nr+YP5E/in+EP33/d39wv2o/Y/9df1a/T39IP0B/OD8vvyc/H38Xvw9/Bj77/vF+5v7cvtK+yT7APrc+rb6jfpg+i/5/fnK+Zj5Zfk0+Qf42/ir+Hb4PfgG99X3qfd/91T3KvcB9tX2pvZ09kT2F/Xq9br1hPVN9Rr06/S89Ir0VvQg8+3zvvOS82jzPvMY8vXy0fKp8oDyWvI48hXx7vHH8aHxePFL8SHxAPDn8NDwt/Ce8ITwZ/BJ8C3wFO/97+Pvyu+176Xvl++L74Hvd+9s72LvW+9W70/vSO9F70jvTe9R71bvXO9f71/vZO9y74jvne+s77nvyO/b7/LwDvAs8EfwXvB68J/wyvDy8RbxOPFc8YHxp/HR8fzyJfJM8nrysfLp8xfzPvNo85rzzvP99Cz0X/ST9MP08fUk9V31mvXW9g/2RPZ29qr24vce91r3lffP+Aj4Pfhz+K346fkg+VX5jvnL+gT6M/pe+o36vvru+xr7Rvtw+5n7wvvu/Br8Qfxi/IT8pPy//NP84vzv/Pr9CP0f/UH9Zf2I/az9z/3t/gX+If5I/nT+lP6m/rf+0f7z/xX/MP9C/0b/NP8H/sH+c/4z/hH+Df4d/jf+YP6f/u7/NP9X/1X/SP9R/4D/0gBAAMIBSAG7AhUCZgK4AwEDLQM8AzsDIgLkApICVwJCAjMCBgHBAYUBXQE/ASMBBADQAH0AI//n/87/tv+I/1b/Nf8W/tz+iv4//gr93v2s/Xb9Q/0J/Lj8RPu1+xn6ffnj+UL4mff393H3EPbX9s32+fdO96r36/f+9+L3p/dt91P3VPdF9v72g/X49Xz1GvTH9H30MPPW82Py1PI98b/xbfEw8N7wbfAO7/XwJ/B98NrxN/GT8eryO/KD8pfyRPGK8LLwDu+877Xv//CU8SHxHPBF7u/tuez+7KHsZuxI7HDs8u2e7izuae5S7gXtre127XTtme3A7dbt5u4B7iTuP+5S7mruiO6f7qXupO6l7qjuqO6r7rbuxe7T7uTu/O8U7yTvMO9L73jvq+/W7/7wLvBn8J/w0/EJ8UjxjvHV8hvyZfK18wjzW/Ot8/70UPSf9O71PfWI9cX19PYi9lr2kva99tz3APct91r3gPei98j38vgc+Ej4ePis+OD5FPlG+XT5oPnO+gL6Nfpj+o/6wPry+yD7Tvt/+7T76Pwb/FP8j/zK/QL9P/2C/cb+Bv5D/oL+wv8A/z3/ff+9//wAOQB5ALoA9wEyAWwBpwHiAh8CWwKVAs4DCANFA4ADtwPtBCYEWwSHBK4E3AUNBTYFVAVwBZAFrgXFBdkF6wX6BggGHQY+BmEGgQagBsYG8QcXBzcHVQdxB4kHnAewB8kH5QgBCBUIIAg2CIIJHQnjCowK5gsFCxkLNgtKC0gLRQtfC5ULwAvFC7ILsgvXC/4L/wvkC+UMGQxaDHQMZAxVDF8MdgyHDJsMugzYDOAM0gy8DKUMhAxXDCkMAAvZC7ILjQtsC08LOws2CzsLOAshCwEK7wrvCvYK9AroCtsKzQq3CpYKbwpNCjkKMAoqCh8KDQn8Ce4J4AnLCZMJewlrCV4JTgk4CRwI+gjYCL0ItAi6CMAIqwhzCCkH7QfLB70HtQewB7gHzQfnB/cH+gf6CAMIGAgyCEkIYAh4CIgIgghoCEcILQgZCAIH5AfBB5wHdQdPBysHCQblBrwGkwZtBkcGIQX/Bd8FvgWWBWwFSAUwBSEFFAUABOIEvwSdBIAEXwQvA/IDswN7A04DLAMZAw8C/QLUApkCYQI4Ah8CFgIeAi8CNgIvAicCKgIvAiUCDwIFAgwCFAIJAfEB2wHFAaABaAEqAPYA0ACxAJYAegBcAEUAPQBCAEYAQQA3ACwAIgAWAA0ABf/1/9f/tv+g/5X/iv91/1P/Iv7k/q7+lv6Y/pr+if5s/k/+Nv4f/g39+f3X/a39q/37/o//Hv9q/2v/TP87/0n/bP+G/4T/bf9T/y7+2f5G/aP9Lvz6/OT8yPyk/If8c/xf/Er8OPwk+/n7r/tS+vj6rfpx+j/6Evnj+bD5ePk/+QX4xPh9+D34DPfm97/3jvdY9yX28va39nH2I/XT9Yf1SvUh9QT02/SR9Czzx/N08zDy7vKp8mHyFfHN8ZnxgfFp8SjwtfA279vvpe9y7y7u7e7D7qLudO5B7iTuFO3b7VDskevs647rXesg6sLqXOoM6dLplelD6OLoiehC6AfnyOd95ynmz+Zy5hrlzeWG5Tnk5eSQ5EPj+eOp41fjCOK+4nDiG+HH4XvhN+Dz4KvgXuAQ38PffN883v7eu95v3iLd4N2s3Ybdb91v3X/dhN1p3S/c7dy23IbcUtwZ2+3b5twP3FfclNyj3JDcjdzC3RzdY9153XLdcd123WfdNtz23MfctNyv3J7cf9xh3EvcJtvU21Ta19qP2ozasdrh2xLbSNuJ29TcI9xv3LDc7N0v3X7dy94C3iLePd5n3q3fDt+A3/bgauDa4UvhveI24rnjRePQ5FTkzOU75aPmC+Z35uDnM+dn53znbuc+5wrnFOd/6A7oU+gp5+roEui/6bXqqut/7CbslezU7QTtQ+2N7eDuUu7778jwg/EI8V/xovHd8hbyWvK48yvzmfPs9CP0SfRs9Jb00PUd9Xb10fYq9oj29fdm98b4CPg6+HH4sfjx+S35cvnN+jz6rfsX+3n73PxF/Lv9Qf3V/mr+/f+ZAEMA5wFZAYABegGDAbcB9wIdAjICXgK1AyQDlAQHBIQFAgVwBdIGNwahBwkHcgfpCG8I7QlbCcQKNAqlCwILTQucC/0MbgzhDUwNrg4JDmIOvg8hD4sP9xBnEOYRfBIXEpUS3xMJEzwTihPbFA4UJhRCFHYUsxThFQAVKRV7FfAWYBakFr0WvBaBFb4UXxLdEf8SIxLvE78USRSoFPwVOhVTFVsVaRVyFWQVSxU+FTsVLxUZFQcVART7FPAU5BTbFM8UwhS/FMsU3RTqFO8U7BTmFPAVFxVPFXQVdxVvFXkVjhWcFaEVrRW9FcQVwRXEFc0VxxWlFXUVSBUfFPYUyBSLFDYT0BN5E0QTKBMfEzoTgBPRFAUUFBQJE8oTJRIREMMPdg5MDWwNDQ07DbkOSQ7yD9QQzBGJEe8SMRJ2EqESixJMEiISHBIWEfYRyBGaEWYRJhDlELIQihBnEEsQOBAjEAMP2g+xD4kPXQ82Dx4PFw8SDv0O1w6iDmEOHg34DggOPA5NDgINdQ0EDOkNAw0SDQQM/A0BDPcM0QynDIAMOQvKC28LaAuXC6YLewtQC08LUAshCtwKwArOCs0KpAqFCqMK5gsECtcKeworCgoKEgoaCfsJrAlNCQEI0Ai0CL4JAAlbCX0JLwijCEkIWQidCK8IbAgDB7YHlQeGB2sHPwcSBvgG+AcDBv8G3QavBowGdQZWBiQF7gXGBawFlAWBBXkFeAVxBVwFQgUuBR8FDQT2BNoEuwSYBHAERwQkBBEEEwQkBCwEGwP/A/cEEwREBGwEfAR4BGwEWwRHBDoEOQQ6BDAEGgQGBAQEEAQWBA8EBwQSBDMEVgRiBFMEOQQqBCkEJwQcBA4EDAQZBCYEKwQzBEkEZwR2BHQEbwR4BI0EoQSuBLUEtASqBKAEogSvBLUEqASRBIEEeQRqBFAENgQkBBgECAP4A+wD4gPOA7ADkgN7A2UDSAMpAxMDCAMBAvoC8wLpAtQCswKLAmYCRAIlAgsB+wHyAegB1gG9AaQBjgF6AWIBSAEuARUA/ADjAMgArgCVAHkAWgA+ACQADP/u/8v/qP+M/3j/a/9g/1T/Qv8r/xL++f7h/sz+uv6q/pb+ev5a/jv+I/4N/fX92P26/Z/9hv1t/VP9Nv0Y/Pn82vy7/Jz8f/xh/D78Ffvq+777kPtj+zn7Ffrz+s/6p/p8+kz6Gvnl+bD5fPlI+Rf46/jA+I/4V/ge9+v3vfeS92f3PfcV9uv2vvaN9l32MPYF9df1pvVz9UH1EPTe9Kz0ePRC9A7z3/O1843zZPM88xXy7/LH8qDyefJV8i/yCPHi8bzxlPFn8T7xHfEE8O3w1PC48J7wg/Bp8FDwOPAf8Afv8O/c78vvu++v76bvnO+Q74Xvfe9372/vZ+9j72TvaO9s72/vce9x73Pvfu+S76rvvu/N79rv5+/28AvwJ/BH8GPwevCV8Lvw5vEO8S3xSvFp8Y3xtPHf8gzyOfJj8o7yvvLv8yDzT/OA87Hz4fQO9D30b/Si9NH0/vUv9Wf1o/Xd9hX2SvaB9rv29vct92P3mvfU+A74Q/h4+LH46/ki+Vj5kPnK+gD6MPpf+pD6wPrt+xj7Q/tv+5v7yPv1/Bz8O/xY/Hf8lvys/Lv8xvzS/OH8+v0f/Uf9aP2C/aP9zP3w/gr+Jf5M/nj+nP62/s/+7v8Q/y//TP9q/4b/m/+h/5D/Z/8t/vD+tv6D/lz+Tf5h/pL+zP74/xD/If9C/3T/rf/qAD8AuwFSAeECUAKiAuUDHwNPA2UDTwMKArgChAJwAlgCIAHWAZgBbgFWAVEBUQEtAMkASv/5/+v/7//W/6P/c/9D/wD+r/5q/jr+D/3f/a/9gv1E/Ob8afvd+0b6pvn7+U34qfgb96v3Wvcu9zz3kvge+K35Evk5+Rv4wfhE99D3hvdb9zH28vae9kD16PWo9Yr1gPVk9RH0hPPe81Ty/vK+8l7x1fFQ8QPw7/D38RfxZvHn8m7yyPLc8qTyIvFt8L3wSPAj8ELwk/D08Rnwse+y7nfteOzj7JXsXuw/7GDs0+127gnuVe5L7gTtqu1p7Vjtbe2O7aztyO3p7gruIu437lLucu6K7pXume6e7qDun+6h7q3uve7M7t/u+O8P7xrvH+8x71jviO+y79fwBPA78HbwsPDs8SzxcfG58gPyUfKh8vLzQ/OU8+T0L/R39MP1GvVv9bP15PYY9ln2mfbG9uD2/vcp91n3gfel98v38vgb+ET4cPie+M75BPk++XT5o/nR+gT6N/pl+pL6w/r1+yX7UvuC+7X76Pwc/Ff8lvzR/Qb9Pv1+/cD9/P43/nL+r/7r/yj/Z/+l/+EAIABiAKEA2wEUAVEBjwHLAgYCQgJ8ArQC7QMpA2QDmQPMBAMEOARnBJEEwATyBR4FQQVhBYIFnQWvBb4FzAXaBekGAQYlBkoGawaLBrIG2wcCByUHRgdfB24HfAeRB60HyQfmCAEIEQgiCFwI5AmlClcKvwrlCvcLDgsfCyALIgs/C3MLngupC6QLsgvWC/AL5AvOC+YMNQyKDK4MqQymDLIMuwy2DLcMzgznDOgMzwyxDJUMcgxGDBwL9wvSC6oLhwtrC1MLQAs5Cz0LPgswCxkLCgsGCwMK9wrmCtcKywq1CpAKYQo8Ci4KMAouChwJ/wnlCdQJxAmuCXAJWwlOCUMJNwkmCQwI5wjBCKsIrwi/CMAInQhdCBYH4QfDB7cHtwfFB90H+ggRCB8IJQgpCC4INwhCCE8IXwhwCHwIeghtCFwISwg5CCIIAwfdB7EHgwdcBz0HHQb2BsoGogaABl4GPAYZBfcFzwWhBXMFSgUrBRQFBQTzBNcEswSUBH0EXgQnA90DlwNjAz4DIAMKAvwC6gLDAogCTAIgAgYB/QIBAgkCCgH/AfMB7wHtAeEB0AHGAcYBvwGlAYcBdwFuAVcBKADvAMEAnwB9AFYALAAL//z//wAIAAn//P/s/+T/5v/v//r/+//o/8L/nf+J/4P/fP9r/0//If7d/pf+b/5u/nv+d/5e/kH+Lf4i/hj+BP3f/bf9tv35/m3+3P8a/yX/Ff8I/xH/Lf9E/zv/FP7o/rv+bf3q/VL84vyz/KX8lfx8/Gb8VfxD/DD8IvwJ+877bfr9+pz6VPod+e75w/ma+W35PPkJ+NX4l/hR+Az31vet94H3SfcN9tn2q/Z39jX16/Wd9VD1DvTj9M30svR59B/zuPNV8vTyl/JJ8g/x2vGZ8Uvw9/CZ8CzvwO94717vVO8z7vbuuu6O7mPuLe377eDtw+1z7ODsOeu763nrT+sQ6rXqWOoL6cvpg+kn6MLoaegl5+3nr+dh5wjmquZP5frlquVd5Q/kv+Ru5CDj0ON94yni2eKO4kLh8+Gg4VHhB+DB4HvgMt/o35/fWN8V3tLeiN453ezdrN183VjdP9083UvdVd093P/cstxy3EPcGNvn27nbo9u42/fcQtxu3GvcWdxl3Jrc3N0P3TDdRd1H3SPc3dyU3GncZNxy3Hrccdxf3EbcE9ur2xraldpQ2lHadtqg2s7bCttU26Xb9Nw73HXcrdzy3Ujdn93g3gjeKt5a3qXfCN963/DgY+DR4ULhuOI14rjjP+PH5Enkw+Uz5Z/mDOZ95ufnOOdj52znVecm5wXnKeef6B7oRugQ5+joO+kM6gfq6eun7EDsqOzl7RjtXe2r7f7ub+8c7+/wqvEr8XzxuvHz8jHygvLs813zv/QL9Ej0e/Sl9M71BvVS9an2APZW9rL3GveE9+X4OfiF+M35DvlF+Xf5t/oS+oH68ftX+7j8HvyP/Qb9gv4C/oj/HP/DAHcBGgGDAaQBogG1Ae4CLgJUAmsCmgLyA2AD0QRFBMIFQAWuBg8GcAbXB0cHvgg8CLoJLwmeCg4KewrbCy4Lhwv7DIkNHw2mDg0OTw57DqoO7g9LD78QRRDaEXkSGhKsEx0TYROLE7wT/BQzFE4UXBSAFMQVEhVVFYoVvxYHFmkW1RctF2UXjReSFxoV0hQBEocSIRK9E6oUWRTBFRYVYBWKFZcVnhWmFaEVkBV/FXIVYRVOFUIVPhU4FSsVIBUYFQsU+RTuFPUVBRUSFRUVEBUJFRIVPBV2FZ4VphWkFbEVwxXHFcQVzRXdFd4V0RXSFegV7RXAFWsVGxTyFOoU3hSlFDATohMqEs4SdRIdEfUSHRJ2EsES5RLeEoQRoRBMDvMN/A2CDXcN2A6MD0sP2hBLENsRhhIMEkkSYBJ2EoASZxJDEjYSNRIbEeURtRGTEWgRJxDnEL0QpBCJEGoQTBAsEAAPzw+mD4oPbQ9MDzIPKg8rDyAO+g7BDn0OOw4RDhkORA5RDgUNeQ0NDPsNFw0VDPIM3QziDN0MvgylDJIMUwvZC3MLdgvEC/UL7wvxDBcMFAupCxgK1grvCwQK2gqpCsELIguAC5ULUgrYCmAKIwooCkAKMgn3Ca8JagkmCPwJDglOCWcJGwiTCD8IUwiSCKAIaAgZB+MHyQe3B58HfgdWBzIHIAcfBxgG+gbNBqYGjAZuBkMGFQXvBdEFtgWjBZwFmgWRBXwFYwVPBT8FLQUbBQkE8wTWBLEEhQRZBDkEKgQoBCQEFQQEBAYEIARHBGcEdAR0BGsEXgROBEMEQQRGBEcEPAQsBCMEIQQeBBYEEwQkBEoEbgR0BFoEOAQpBDAENQQlBAwEAQQOBCMENQRGBF8EeQSDBHwEegSIBJ8EswTABMwE0wTNBMMExQTVBOAE1AS4BKEEkQR/BGEEQwQvBCIEEgQBA/gD8wPmA80DtwOrA6MDjgNsA0kDLgMbAwwDBAL/AvEC1AKtAogCZwJIAiwCGAINAgQB9gHkAc8BugGjAYoBbgFSATcBHQEEAOsA0AC1AJgAewBdAEEAJwAM/+3/zP+u/5X/gv90/2f/V/9D/yv/EP71/t7+zf6//qz+kP5v/lH+Of4l/g398P3Q/bP9mf2B/Wf9S/0u/RH89PzX/Lv8ofyF/GP8O/wP++L7svuC+1b7L/sL+ub6v/qV+mf6NfoA+cr5k/lc+Sr4/vjX+Kv4dvg9+Af31/ep93v3T/cm9v720vaj9nT2RvYY9ez1v/WS9WT1NPUC9M70mvRl9DH0A/Pa87Xzj/Nl8znzEPLo8sHymvJz8kvyJPH/8drxs/GK8WPxQ/Eq8RLw9/DZ8LzwofCJ8HLwWfA/8CfwEvAA7+/v3+/S78fvvO+x76fvn++Y74/vh++E74Tvhu+I74nviO+H74nvle+q78Hv1e/m7/XwA/AR8CXwQvBj8IDwmPCy8NTw/PEi8UHxXvF88Z/xxfHu8hzyTvJ+8qjyz/L58ynzX/OU88bz9PQf9E30ffSw9OP1E/VD9Xf1rvXk9hf2TfaJ9sr3B/c792n3nffY+BT4S/h/+LT47fkl+Vz5kvnI+fv6Lfpg+pP6wvrs+xf7RPtv+5r7xfvv/BP8MPxL/Gn8g/yV/KP8svzE/Nn89/0g/Uf9Yv15/Zv9yf30/hP+L/5R/nT+k/6y/tn/BP8r/0v/Z/+C/5v/t//Y//gABv/5/9L/mf9Y/xn+5v7E/q/+pv6n/rL+0P8L/1j/mf+9/+cASQDwAakCNwKLAscDDANYA4YDdQMsAtkCpQKLAmcCKAHeAZgBWwEzATYBVwFXAP8AdwAaAA4AHwAP/9r/nP9d/xP+x/6K/l3+Mv4G/d79r/1i/PP8d/v9+3v63/oy+ZD5EPiz+Gr4Jvf09/r4U/jo+Xz53foA+ef5iPjo+C73mvdP9z73O/ci9uf2nfZo9mX2hfaY9mv19vVf9OP0nvR59D7z0fNI8sTyT/Hs8b/x+vKZ80bznPNz8u/ySfGr8S/w6/Dg8P/xJfEm8NjwKe817kDtgO0D7LXsf+xl7H3s2O1j7e7uQO5A7fztoe1c7UDtSe1l7Ybtp+3H7ePt+O4N7inuSe5j7nPufu6G7onuie6N7pnuq+687tHu6+8D7xDvFu8k70LvZu+H76bvy+/78DPwcfC18P7xS/Ga8eryPPKM8tnzKfN989D0GvRd9Kj1BPVi9az13vYR9lP2lvbA9tb27/cb90/3gPes99f4Avgq+FH4evih+Mr4/fk5+XP5pfnT+gb6Ovpq+pf6yPr8+y37XfuP+8H78vwn/GT8pPzd/Q79Q/2B/cD9/P40/m3+pf7e/xv/Wf+V/84ADABMAIoAwQD6AToBewG2Ae8CKwJmApwC0QMJA0MDeAOpA90EEQRDBHEEoQTSBP8FJwVNBXEFjAWfBbEFwwXUBeYF/QYaBjcGUgZxBpUGugbfBwYHKgdBB0wHWQd0B5UHsgfQB/MIDwgiCE8Ixgl/CjUKqArTCuEK8wsGCxALHgs9C2wLlQuqC7YLywvmC+4L3QvWDAQMZAy9DOUM7gz8DQ8NCgzrDNQM2QzmDN0MwAyiDIgMZww9DBUL8QvKC58LegtfC0sLPAs5C0MLTQtKCzsLLAshCxEK+griCs4KuwqgCncKSQoqCiQKLgowChoJ9AnSCbkJowmJCU0JPAkvCSQJGwkOCPQIywilCJoIsAjLCMkInAhWCBEH2we3B6gHswfVCAAIIwg5CEYIUAhXCFcIUghOCFEIXAhpCHEIcghwCG8IawheCEYIJQf6B8cHlgduB08HLAb/BtQGsgaWBncGUwYtBgQF1AWjBXYFTgUoBQUE7QTbBMMEowSGBHAEUQQYA8wDigNgA0ADHQL4AtwCwwKfAmoCMwIKAfIB5gHgAdwB1AHIAbsBtAGsAZ8BkQGGAX4BbAFQATkBMgEvARYA4gCqAIEAYwA7AAX/zf+p/6H/rf+6/7j/qP+Z/5v/rv/J/9//4//M/6T/f/9t/2X/Wf9D/yn/Bf7N/oz+Xv5Z/mj+a/5a/kP+Nv4x/in+Ef3s/cr9x/30/kH+jv7C/tn+1v7E/rv+yP7d/tn+sP57/kn+CP2f/SD8u/yG/HL8YfxN/Dz8Lfwc/A78BPvp+6P7MPqx+kz6CfnW+ab5dflH+Rn46Pi2+IT4TfgP98/3l/dk9yr25Paf9mr2P/YP9dT1l/Ve9SX07/TJ9Lf0pPRz9BzzqfMn8pzyGvG98YnxY/Ei8LfwKu+R7wjusO6f7sHu5+7q7svune5q7jDt+u3V7bTtb+zx7Fvr5Oul64PrUusC6qTqSen66bHpY+kK6KvoU+gL58/nj+dB5ubmiOYw5dzli+U65OrkneRP4/3jqONT4wDir+Jh4hThyOF64Svg3+CY4FLgCt/A33ffMd7s3qTeWN4J3b3dgN1S3TDdGN0R3RvdId0J3M3chdxK3B3b79u624jbattv25zb4twb3CXcBNvj2+3cKtyF3NvdDt0J3M3cdtww3BbcJ9xL3Gjcbtxh3EPcBduQ2vHaYNoW2hfaOtpf2oraytse23XbwdwB3Djccdy43RXdc9283ereEd5H3pjfAN923+zgW+DI4TvhtuI24rbjOuPC5EfkxOU35aXmFOaE5u3nPOdh517nO+cR5wfnQ+e96CToLufx5+XoZelU6k3rFOuz7Dzsouzm7STtdO3L7iTumu9J8Bzw1fFT8aHx2/IR8lXytvMt85vz6vQm9GP0oPTS9P71OPWF9dj2KfZ69tb3Ofeb9/v4XvjC+Rz5YfmU+cL6AfpY+sH7LvuU+/b8X/zS/Un9vv4y/q3/Of/bAIYBHQGCAa8BwwHnAiQCYwKPArMC7QNHA7IEHwSOBQQFewXpBk8GtAchB5gIFgiSCQkJgAn/CnsK2gsaC18L0wx6DTQN3w5pDscO8w76DwMPLg+HEAcQpRFWEggSpBMcE28TpxPZFBYUVBR6FIcUnRTaFTIVihXXFh4WYBadFukXTxe5GAYYPRhjGCkXDRURExESIBKDE4wUaBThFTAVgBW9FdQV1xXZFdcVzBW6FagVlRWGFX4VexVyFWQVVxVNFT8VLhUjFSQVKxU0FT0VQhVCFUsVbxWmFc4V2BXXFeEV7BXqFecV8xYBFfcV5BXwFhoWIRXOFTwUxRSjFMkU7BTIFE0TphL/ElgRkBC2EBwQAxBRELUQ+xESENAQEw8IDjEN8w5CDt4PmxBfEPoRRhFoEasSHBJ8EpsSiRJxEl0SShJBEkgSQhIUEdERoBGFEV8RIBDkEMUQtxCgEH0QWhA1EAYP0A+oD5UPhg9sD08PQQ9CDzoPGQ7lDqcOYQ4pDikObA6tDokN/A1tDTQNOA0mDO8MyQzHDMQMqgyaDJUMZAvvC40Lmwv8DEQMWAx/DMoM0gxJC4ALDgsWCzELDArPCtILLguqC/cL2gtRCqQKQQpcCrYK6ArQCo8KQAndCXIJLAkcCRUI5AigCIcIogi1CJIIVAgsCCIIFwf6B9oHvgecB3AHSwc7BzEHFwbuBscGqAaLBmgGQgYeBfwF3wXLBcMFvAWwBZwFhwV1BWQFVAVCBS4FFQT3BNUErwSIBGYESwQ1BCEEEwQQBBwEMwRNBGMEcQRyBGcEVwRJBEAEQARIBFMEWQRWBEkEOAQlBBcEGAQuBFMEbgRpBEcEJAQbBCkENAQkBAUD8QP5BBAEKwRGBGIEdwR7BHUEeASKBKQEugTPBOYE9gT0BOsE8AUIBRwFEwTuBMMEowSIBG4EWARNBEQEMgQZBAUD+wPuA9sDywPLA9IDywOtA4MDWgM3AxwDDwMOAwwC+wLbArcClAJzAlQCOwIqAh0CDwH/Ae0B2AHDAawBkgFzAVUBPAEnARIA+ADbAL0AngB8AFsAPgAkAAn/6v/K/63/lf+F/3r/bf9c/0T/Kf8P/vn+6f7Z/sX+qv6L/m/+V/5A/iX+B/3n/cn9rf2S/Xf9XP1B/Sj9Dvzz/Nn8wfym/IX8Xfwx/AX71/un+3n7T/sn+v761Pqr+n/6TvoY+eL5q/l0+UH5Ffjv+Mb4lPhd+Cj39ffD95H3Yfc29w325Pa59oz2XfYu9gD11vWs9YL1VPUj9O/0ufSE9FT0KvQF8+Lzu/OO81/zMvMK8uPyu/KS8mryQ/If8fvx1vGw8YzxbvFU8TzxIPEA8OHwxfCs8JPwefBd8EXwMvAi8BPwA+/07+fv2u/P78fvwO+4767vqe+n76fvpe+j76PvpO+l76nvs+/D79Xv5+/68A3wHfAt8ELwX/CA8JzwtPDM8OnxDPEx8VTxdPGU8bbx2/ID8jHyZfKY8sTy6fMO8zzzc/Oq89z0CvQ49GX0lPTH9P71NPVn9Zf1x/X29iP2U/aO9tD3DvdB9273oPfb+Bj4UPiD+Lb46/ki+Vr5kPnE+fb6KPpd+pD6vvrq+xr7Sfty+5b7ufve+//8Hfw5/FX8bPx9/I78pvzA/Nv8+f0d/UH9XP13/Z39y/32/hj+Of5a/nb+j/6u/tr/Cf8z/1n/f/+e/7L/w//eAAQAKAA+AEMANwAgAAL/2/+l/1//F/7Z/rH+qf7R/yP/dP+f/7cAAACfAWcCDQJvArEDAANaA5QDigNHAvkCwAKTAlkCDgHFAYABNgD4AO0BFQEuAPgAiwA5ACoANAAi//D/tP9z/yj+3/6m/nf+R/4a/fL9u/1c/N/8a/wK+5/7F/qF+hD5zvm1+aT5fvlD+SD5Qfmi+gf6PfpG+jD56vlX+Iv30vdw92f3hveX94T3WPcz9zL3Tvdc9zL2yPZE9dn1qPWk9Z/1bfUD9GvzuPMM8qbyw/Na9Ab0UfQS83ry2vJa8fzxvPGY8YXxYfEI8HXvxO8V7njt6O1k7Pzsvuyu7MntE+2H7gDuSO4+7fLtk+1N7THtN+1P7Wztie2l7cHt2e3w7gnuJO477kzuV+5g7mXuaO5v7n3uke6l7rvu1e7u7wHvEe8j7zrvU+9s74jvqe/R8ALwOvB78MLxD/Fg8bLyA/JR8p7y8PNL86fz+PQ99In06vVP9Z710vYE9kb2iva19sz25vcU9073hfe59+z4GvhC+Gr4kvi5+N75Cvk/+Xf5qfnZ+g36RPp1+qX61/sL+z77cPuk+9f8B/w7/Hj8tvzr/Rj9Sv2G/cX+AP44/nD+pf7b/xX/U/+O/8X//wA8AHYArADkASUBZgGeAdQCEAJNAoUCtQLpAyADVgOIA7kD7QQgBFEEggSyBOEFDQU4BV8FfgWXBa8FyAXcBewF/gYRBiMGNwZSBnIGkQavBtUG/AcWByIHNAdVB3gHlAezB94IBAgcCEYItAlnCh8KmQrKCtsK7AsACxILJgtBC2QLiQusC8wL6gv+C/4L9QwGDEwMtQ0JDSsNMw1DDVINQA0ODOQM2AzYDMcMqQyODHkMXAw3DBML8AvHC5gLbgtSC0ALNws+C1ILZQtpC10LSgs0CxkK+wrfCsYKqwqICl4KNwofCh8KJwokCgkJ4Am6CZwJgQllCTYJJgkXCQoI/gjwCNIIqQiKCJIIuQjbCNYIpwhmCCgH8QfCB6oHuAfoCB4IRAhZCGgIdwh/CHkIawhgCF4IZghvCHQIdAh2CHwIfgh0CFwIOQgKB9YHpQd/B10HNQcHBt4GwganBoMGWQYwBgUF1AWiBXkFVAUqBPwE2QTFBLIElQR3BF0EOwQCA70DgwNeAz0DEALeArYCmQJ4AkwCGwHzAdoByQG6AaoBmwGNAYQBewFxAWMBUwFGATkBJQEPAQEA/QDyAM0AkgBaADYAHP/z/7b/eP9R/0j/U/9f/1//VP9N/1r/ef+d/7X/t/+h/37/Xv9K/zv/I/8E/uj+zv6p/nr+Vf5M/lL+Uv5I/kH+RP5G/jj+GP3w/dP90f3u/iH+Wf6N/q/+s/6S/mT+S/5N/k7+Ov4X/fH9vv1t/Qj8rvx0/FD8NPwc/Av7/fvu++X74fvM+4j7E/qQ+if54Pmo+Wv5LPjz+MH4kPhc+Cv3+/fH9433VPcZ9tb2ivZC9gn12PWi9Wn1QfUu9SD1BvTl9Mb0nfRX8+zzY/LD8hXxd/EI8M7wpPBc7+bvTe6x7jPt9O397jLuae6I7ozuce437fPtyO227YrtFOxp697rqeus65/rWurz6o3qNOnh6Y/pPujs6JToO+fq56fnZ+cc5sPmZuYO5bzla+UX5MXkeOQr49fjfuMo4tjiieI44erhn+FV4QngveB04C3f4d+U30rfBd7B3nneK93c3ZPdV90q3Qrc89zr3O/c7tzR3JrcYNw03Anb0tuR21rbOtsy20jbftu929nbvtuM233bstwc3Ibcudyh3FLb+tvE28Lb6twi3E7cXtxT3Dfb/NuG2tnaMdnT2c3Z9Noh2lHaltru20TbjtvN3AjcR9yT3O/dT92b3c3d9t4u3oLe8N9s3+bgV+DE4TnhteIy4rDjNePD5FDk0OVF5bTmIOaL5u3nOedd51LnKOcC5wznXOfR6B3oCufJ59nogemN6oXrM+u07Czsl+zr7TrtlO3z7lLuze988Erw//F98dDyDvJG8o7y9fNx89j0F/RG9IL0yPUC9TL1b/W89gr2Ufaf9v33X/e8+Br4hPj1+Vf5nvnT+gb6RvqY+vr7YvvK/DD8m/0N/YP99/5p/uD/Yf/uAIABCAFyAbcB6QIcAlsCmQLQAwcDTwOpBA0EcwTdBU0FvAYpBpQHAQdzB+oIZAjcCVUJ3gp1CvoLRQtlC58MLAz5DcUOZw7hDzkPYw9kD2APhA/fEGoRFRHREoQTExN1E7MT5BQeFGcUqBTHFNEU8BU9FZ8V+BZLFqUW9BcmF1sXuxg0GI8YxBj1GO4YEBYRE7ESOxJRE2EUbRUCFVQVpRXwFhUWGBYUFhAWBhX1FeIV0hXHFb8VtBWmFZYViBV9FXEVaBVjFV8VWhVdFW8VgRWHFYwVqhXfFggWExYQFhcWHhYdFh4WLBYwFhkWBhYpFmcWXRXNFPYUVxQ5FHgUtxSsFEMTkxK8EbsQhw9EDlUOBg5CDrYPHg9kD3MPOw7mDtgPSxATENwRfxH+EkwSXhJWEnISuhL2EvISvxKGEl8SRxI8EjoSLBICEcwRoxGHEVsRHRDoENEQxhCwEIsQZxBHEB8P8A/KD7YPpw+ND20PXQ9bD1EPNQ8PDuIOoA5XDkcOoA8cDysOnA3cDXMNZQ1VDRwM6wzjDOAMxAysDKgMiQwyC+UL9QxIDIEMjAy1DQkNHQyXC8ELOAswC08LPAsCCuQLCgtiC7MLtQtKCrEKaQquCzYLhwt4CzcK6QqACfEJaAkNCOEI0gjqCSUJTgkmCLgIXAhMCGgIawhFCBcH9gfVB6cHfgdpB14HRgccBuwGxAajBoYGaAZIBiYGCQX1BecF2gXJBbcFpwWYBYoFewVmBUcFIQT8BN8ExgSrBI8EbgRKBCoEGwQhBDEEPwRNBF8EcARzBGQETgQ/BDoEPQRHBFgEawR0BGsEUgQ0BB8EHgQwBEgEVgRLBC4EFQQSBB8EKAQcBAQD9QP9BBYENgRVBGsEdARvBGkEbwSBBJcErwTPBPEFBgUFBP8FCwUwBVEFTwUkBOoEuwSdBIgEeARvBGkEWAQ8BCAEEAQDA/ID4QPeA+UD4gPIA58DdANPAzEDIAMdAx8DGAMAAt4CuwKYAnkCXwJKAjgCJwIVAgEB7QHaAckBsgGTAXMBWwFLATsBIgEDAOMAwQCeAHoAWwBAACUABv/l/8b/rv+d/5L/h/93/2D/SP8x/x7/Df76/uT+yv6v/pX+ev5d/j7+Hv4A/eP9xf2n/Yr9cP1Y/UH9KP0O/PT83PzC/KH8efxP/CP79/vI+5v7b/tE+xj67PrC+pX6Y/ou+fj5w/mN+Vr5LfkF+Nr4q/h5+Ej4F/fi96z3efdL9yL2+vbS9qf2efZK9hz17/XD9Zj1bfU+9Qr00/Sg9HX0UvQx9A/z5vO484fzWfMw8wjy3/K28o7yaPJF8iHx/PHY8bbxmfGA8WfxTPEu8Q7w7/DT8LjwnPCA8GjwVvBH8DjwKfAa8Arv++/v7+fv4O/X787vyu/L78rvxe++773vwu/H787v1+/i7+/v//AT8CfwOfBL8GLwgPCe8Lnw0PDn8QDxHvFD8WrxjvGv8c/x9PIe8kvyfvKy8uDzB/Mu81zzj/PB8+/0IPRS9IH0rvTf9Rn1VPWJ9bf15PYQ9jn2Y/aW9tP3EfdH93f3qvfi+Bz4U/iH+Ln46/kf+Vb5jfnC+fP6JvpY+on6tfrl+xj7SPtu+4z7qPvI++f8BPwi/D78VPxn/H38nPy9/Nz8+v0a/Tz9W/1+/ab9z/3z/hP+N/5d/nz+l/64/uD/B/8p/1D/gP+s/8f/2P/rAAQAHQA3AFMAbwCGAJMAkgB2AD3/8f+i/1P/D/70/xL/Uf+B/5//4wB2ATwB7AJgAq0C/QNSA4sDjANeAyIC6AKmAlAB8wGnAWoBJwDiAMAAzwDgAMEAewBDAC8AJAAI/+H/tv9+/zf+8v68/or+Uv4e/fL9s/1L/M/8afwf+9D7bvsO+tD6xvrz+0H7d/tf+wb6t/qi+qr6nPp2+lD6F/mf+Ob4NPfT98z39fgf+DH4LPga+Av3//fe9473FPaQ9i72BvYP9ij2IfXe9Vv0r/QC847zg/Pe9Fb0j/Rl8/3zjvMu8tDybPIM8bTxTfDE8Cvvqu9P7vbude3U7UztCO0H7S/tde3V7jXuZe5H7e/tje1K7TDtNu1L7WDtdu2S7bTt1e3u7gLuFe4m7jPuOu4/7kXuTO5W7mTudu6N7qfuwO7Z7vHvDO8m7z7vVO9s74rvre/T7/3wK/Bd8JXw1PEa8WTxrvH48kTyl/L381vzt/QH9Fz0wfUr9X71tfXp9i72d/as9sv27fce91j3kPfH9/34K/hR+Hj4pfjS+Pn5IPlN+X75rfnd+hL6Sfp9+rD65fsc+1D7g/u3++v8G/xP/Ir8xfz1/R/9T/2I/cT9/f41/m3+ov7V/wz/Sf+E/7r/8gAtAGUAmQDQAQ8BTQGCAbQB8AIwAmkCmQLJAv8DNgNoA5kDzAP+BC8EYASRBMEE8AUeBUcFaQWIBacFwwXWBeYF9QYFBhQGJAY6BlQGagaABqEGyAbnBvoHEwc3B1kHdAeWB8QH6wgBCCcIkwlFCf4Kfwq+CtoK7gsCCxYLKQs7C1ALcQuhC9gMBQweDCQMKgxNDKINEA1kDX8Neg10DW0NSw0SDOEMywzCDK0MkAx4DGYMTwwyDBUL9QvLC5kLbAtLCzcLMgtBC14Ldwt+C3QLXgtACx0K+wreCsIKoQp3CkwKKgoYChcKGAoLCewJxAmgCYIJZglLCSoJGwkJCPYI5AjOCK8IjQiBCJwIzAjrCN8ItQiECFkIKgf4B9kH4ggPCEQIZwh7CIsImwiiCJ0IkgiICIQIhAiGCIcIhQiGCIgIhwh6CF8IOAgKB9gHqweHB2YHPwcVBvMG1ga0BoUGVgYxBg4F4QWvBYMFXQUvBPsE0QS4BKQEhwRmBEUEHwPoA6gDcgNJAyEC7gK5ApACdAJXAi4CAAHWAbkBpAGRAXwBaAFaAVIBTAFCATIBIAEOAP4A7QDdAM8AwgCqAH8ARgAV//f/4f+9/4n/Uf8n/xH/Cv8L/wz/CP8J/xn/Of9c/3P/ev9x/1v/P/8l/wv+6v7H/qf+jv5z/lP+O/4x/i7+Kv4p/jv+Wv5r/lv+Lv36/df90v3v/iL+Xf6S/rP+r/5+/i/96P3E/b79wv3B/bT9kP1L/PT8ofxi/DL8C/vt+9n7yvu8+7P7sPuf+2X6/PqC+hn5y/mF+Tj46fir+H34Uvgk9/X3xveS91X3Fvbc9qP2ZfYo9fD1tvVz9Tb1G/Up9T/1PPUX9Nn0gvQO84Dy4PIy8Xnw0PBV8Arvzu987w/ul+4n7dTtru2z7cvt5e397g/uA+3N7Y3tcO1t7Tnsqev465brouvQ68DrXuri6nnqIunL6XDpGujK6HXoGufE53znPOb15p7mQuXq5ZnlSOTz5J/kUeQD46/jVeL/4rHiZOIT4cTheeEw4OXgmOBO4APfs99i3xre2t6Z3lDd/92v3WndL90D3OLczNzC3MLcu9yc3GvcP9wf2/jbu9ty2zjbFdsA2v3bHtte25TbntuI24PbsNv/3D7cRNwP277bedta22jbmdvb3BHcKNwm3Bfb7tuF2tLaD9mT2YLZs9nx2izactrG2xjbYdum2+zcNNyD3NzdN92D3bfd394T3mTe1t9a397gVeDF4Trhs+Ir4qbjMePI5Fzk3uVU5cXmMOaR5urnNOdb51DnJOcE5x7neefm6Bbn6Oec57TodOmZ6p/rSOu57Cnsnu0F7WDtve4c7n/u/O+r8HLxIfGh8f/yS/KM8tTzN/Or9Ar0Q/Rw9LD0+/U59Wz1qvX29j/2gPbN9y/3lffz+FD4uvkp+Yf5zPoF+kH6hPrR+yr7j/v5/GX81f1I/b3+L/6g/xP/h//8AHMA7QFgAcICEAJSApIC0gMVA18DsAQGBGAEwQUrBZoGBwZwBtwHSwe5CCUIlQkMCZQKMwraC14LnAuxC+4MiQ1dDh4Opg8JD1wPkw+nD7MP4hBHENsRiRI9Et8TXhO5E/0UORR7FMQVABUaFR4VOBV+FdsWOBafFxIXaxeQF6oX/Rh7GNsZDBlIGXsY8xciFI4SnRJEEzEUXBUbFYAV1RYlFlUWXhZZFlEWRBYvFhwWEBYIFfoV5xXUFcgVvxW0FaoVqBWpFaIVkhWOFaIVuBW+FcQV6RYnFlUWXRZXFlwWZRZmFmgWcBZnFkUWOxZ2Fr0WkBW7FKYT7hPMFAMUOBQ4E+wTSRJUESIP0g6YDb4NdQ2rDhgOhg7qD0YPlg/qEG8RMRH+EpYS6RMVEysTKBMdEygTShNbEzwS+xK8EosSXxI1EhUR/xHpEc4RsBGLEVgRIBD3EOcQ3hDHEJ8QdxBXEDwQHhAAD+cPzw+xD5IPgw99D2wPTA8vDxkO5w6UDm4Owg9WD4QO+A4fDaENmA2cDW0NOQ0sDSkNBAzYDM8MzwyvDIMMgwyjDKgMjgyaDNcM6Ax4C78LQAszC1kLYAs3CwEK4QrsCxMLHwrmCpAKfwreC2ELngt/Cz0K+wqkCiQJlAkcCNcI2AkuCawJ6gmgCP0IgAhtCJIImwh3CEkIJwgDB9cHtAelB5oHfwdPBxgG5Qa8Bp8GiQZuBk4GMAYZBgYF8gXgBdMFyAW3BaUFlAV8BVUFJgT/BOkE2wTKBLEEkARnBEIEMQQ2BEEERARGBFQEaARuBF8ERwQ5BDYEOwRFBFYEawR6BHgEYwRFBC4EJgQrBDIEMgQsBCIEGgQWBBUEEgQNBAsEFQQuBFMEeQSUBJoEjAR5BHIEeQSFBJMEqgTMBO0E+gT0BPEFCQU7BWgFbgVGBQ0E5ATTBMcEswScBIoEewRnBE8EPAQtBBgEAQPyA+oD3QPAA5wDgANsA1cDQQMxAyoDIgMPAvQC1AK1ApgCfgJoAlMCPwIrAhYCAwHyAeQB0AGyAZIBegFsAVwBQwEkAQQA5gDGAKUAhQBmAEUAIgAC/+f/z/+8/67/ov+S/33/Z/9U/0P/MP8b/wP+6/7T/rn+nv5+/l3+Pf4g/gP95f3G/an9j/13/V79RP0o/Q388vzX/Lf8kfxo/D38EPvk+7j7jfth+zX7CPrb+qv6d/pC+g352fmn+Xb5Sfkc+O34vfiQ+Gf4O/gJ99P3nvdt90H3GPbv9sX2mfZs9j32DPXa9av1gPVT9SD06vS79JX0d/Ra9Dn0EPPi87LzhfNc8zPzCfLe8rbykfJt8kjyI/IB8eHxxfGs8ZTxevFc8TzxHPD+8OHwxfCr8JTwgPBw8GHwU/BD8DLwIfAT8ArwAe/17+zv6+/t7+zv5O/b79nv3+/p7/Lv+/AE8A/wHvAx8EXwV/Br8ITwofC98Nfw7/EH8SDxPfFi8Yvxr/HN8evyEPI68mfylvLI8vfzI/NP833zq/PT8/z0LPRh9JL0vPTo9R/1WvWQ9cH18vYk9lD2efam9tz3GfdT94j3uvft+CL4V/iM+L/48fkj+Vj5jfnC+fT6JvpW+oL6rfra+wr7N/ta+3b7kvuy+9H77vwL/Cn8Q/xb/HX8lfy4/Nn8+f0a/Tv9Xf2D/av9z/3t/gv+MP5Z/n3+n/7E/ur/Cf8i/0T/cv+g/8T/4///ABYAJgA4AFYAeQCYALIAxwDSAMsAtACQAFL/9f+X/2L/X/91/53/8gCOAVQCBgJ/AssDCQNHA3YDhgN1A1ADHgLWAnMCCAGzAXkBRAEKANkAwQCvAIsAXgA4ABr/8//I/6j/kP9n/yv+8f7D/pL+Vv4e/fD9r/1L/N38jPxY/Cr7+/vT+7j7wfwn/P794P4x/bf83vws+7/7Yfr4+pn6Q/nP+Tb4rPhr+HL4m/jI+Ov4+fjr+Mf4lfhJ99H3Ofat9lT2OfZG9lv2U/YX9av1JfSk9EH0EPQY9EP0ZfRh9Dn0APO2807yx/I38a7xJfCX8Bjvx++a71fu0O4g7ZPtXe1x7aft6O4y7nTuiO5b7gLtpe1k7UjtSe1W7Wbtee2X7b/t5u4B7g/uG+4p7jPuNu437jzuRe5O7lfuZO567pfusu7K7uXvBe8n70TvXu9675vvwe/o8BHwOvBi8IvwuvDy8S7xbfGv8fbyRfKg8wTzaPPH9Cf0kvT79Uz1g/W49gD2UfaS9r726vcf91f3jffD9/r4JvhJ+G/4oPjU+QD5J/lR+X35qfnW+gj6Pvpz+qn65Psg+1f7ifu8++78H/xS/Iz8xvz2/SD9T/2G/bz98P4m/mD+lv7I/v3/OP9z/6j/3gAYAFEAhQC7APcBMwFmAZgB0gIRAkoCegKqAt8DFQNHA3gDqQPZBAgEOARpBJkEyQT2BSAFRwVsBZAFrQXCBdUF6gX/Bg8GHAYtBj4GTAZbBncGnQa9BtcG9QcbBz8HXQeEB7AHzAfUB/UIYwkVCdAKWgqrCtcK8QsBCxILJQszC0ALXAuTC9kMGQxDDFcMZQyHDNYNRA2gDcENrg2MDWgNOQz9DMsMsgylDJMMewxoDFgMRgwyDB0MAAvVC6ALbwtJCzALKQs5C1YLcAt8C3gLaAtKCyIK+graCroKlApnCjwKHAoLCgYKAgnyCdMJrgmNCXAJVAk8CSUJFQj/COYIzAiyCJgIiQiXCMII8QkBCOoIxAimCJEIdQhNCC4IMQhTCHsIlQihCKoIswi4CL0IwQjDCLwIsAioCKcIqQipCKYImgiECGEINQgHB9cHqweGB2cHSQcrBxAG8gbHBpIGYwZGBi0GBAXMBZUFZAUxBPwEzwSwBJMEbwRHBCMD/APJA48DWAMnAvMCvAKKAmUCSQIrAgQB1QGoAYYBcAFhAU8BPQEtASMBHAETAQUA8gDeAMsAuwCqAJYAfQBeADkAEP/t/9T/v/+k/4D/Wf8w/wb+4/7P/sj+xf7E/sv+4f79/xj/Lf86/zb/H/76/tX+sf6P/nH+VP42/hj+A/39/f/+A/4T/j7+e/6j/pn+YP4V/dr9yv3v/jn+hf60/r7+p/5x/iD9xP17/Vf9WP1p/XH9Xf0k/NX8g/xB/A776PvK+7P7n/uM+337cvtb+yX6yPpb+fj5pPlS+Pj4o/ho+Ef4LPgL9+T3tPdy9yH21fai9oL2ZPY/9hP12/WU9U71LfU49U71SPUX9L70Q/Oq8wPyWfGt8PnwT+/K727vIe7M7nLuIe3h7bftou2Y7YXtae1Y7V/tYe1E7RrtCe0E7MrsR+vD65/r1+wG69frWOrR6mrqFem56Vfo/eip6FLn9uef51XnE+bM5njmHeXG5XflJ+TT5H3kLOPf443jM+Lb4oriPeHv4aDhVeEJ4LvgbOAf39Lff98u3ujerd5v3iTd0d2A3TzdBdza3Ljcn9yQ3Izcg9xo3EDcHdwE29/bodta2yPa/drZ2r7ax9sA20zbhNum28fb7twE2/PbvNt520HbHtsQ2xjbPdt427Lb09ve2+Dbztt62s/aAdlx2VLZh9nS2hTaV9qh2u3bOduH29jcKNx33MrdIN1s3aTdzt383kXes989383gT+DE4TjhreIi4p/jL+PO5GXk5+Vf5dbmQuac5uvnNOdh513nNOcb5z/nnuf+6Bbnzudt53XoM+lq6o3rS+vE7Drsuu0t7Yrt4O477qLvJ+/W8JfxQPHA8inyhfLR8xfzbfPV9DH0bvSi9OX1MfVv9aH13/Yq9nL2tfcE92n30/gy+JH4+fli+bn5/Po4+nj6vPsE+1j7ufwk/Jb9Df2G/fr+Zf7N/zb/nwAFAGsA2wFVAc0CNQKJAtADFQNgA7EEBARWBKkFCQV3BeoGVga9ByYHkQf1CFMIugk5CdQKfgseC5QL0gv5DEkM4g2gDkMOsw8JD1oPng/MD/UQOxCtEUYR8hKYEyUTlxP6FFYUpBTiFRgVQRVSFU4VVhWFFdsWThbYF2UXwRfXF+AYJxiiGQEZNBmGGfUZzBhHFasTTxJqEwQUMxUlFa8WChZXFosWnhaeFpUWgxZqFlQWSRZBFjAWFxYDFf4V+xXxFeUV5BXoFd8VyxXFFdYV5hXoFfgWMxaCFqsWpBaUFpkWoxafFpwWoRaTFnEWcxa+Fv8WphWYFGcTuROkE8wT5RPeE6cTFhIhEP0P+A88DtkOzQ8ED1QPow/5EGcQ7BF9EhwSxxNdE7gT0xPQE8sTwxO2E6oToxOSE2kTMBL4EsMShxJCEgYR5BHWEccRqBF7EUsRJBELEQAQ9xDiELkQhxBgEEkQPBAsEBYP+w/dD8IPsw+nD4wPYw9IDz8PHg7ODpMOxw9MD4MPCg5BDc4N0w3lDbwNhQ11DW4NPg0BDPkNIg1ADTQNFgzzDLoMegxiDH0Mggw1C7ILVAtEC2ELcwtfCyYK3gqrCqAKogqOCnMKhQrRCxoLIQruCrUKhwpOCfcJjgkmCNcIzgkuCcUKGQnaCTwIugiVCKEInwiGCG0IVQgyCAgH6wfdB84HrgeBB00HFwbmBsUGsAaYBnUGUwY4BiEGCwX+BfgF7gXVBbUFmwWBBVwFMAUOBP4E8wTiBMkEqwSIBGcEUwRRBFEESQRCBEkEWARfBFUEQgQ0BDAEMwQ6BEcEVwRmBGsEYQRMBDkELgQnBB0EFQQYBCQELQQkBA8D/gQABBgEPwRxBKcE1wTtBOAEuwSbBJIEmQSiBKoEvATYBOsE5wTZBNwE/gU2BWcFbwVMBRoFBQURBR4FCwTeBLcEpQSZBIUEagRQBDYEHQQJA/kD4QO+A58DlgObA5YDfANZAz4DLAMcAwkC8gLXArsCngKFAm4CWgJHAjQCIQIPAf8B6wHQAbIBmwGLAXoBYAFCAScBDgDzANYAtgCTAGsARQAmAA3/9f/e/8z/vf+u/5v/hv90/2L/T/84/yL/C/7z/tv+wP6j/oT+Zf5I/in+Cf3q/c39sv2X/Xv9X/1B/SP9Bfzp/Mv8qPx//FT8J/v8+9H7p/t9+1L7Jfr1+sD6ifpU+iH58PnC+Zb5avk7+Qb40/in+IH4W/gv9/73yveW92X3N/cM9uH2tvaL9l72LPX39cT1lvVp9Tj1BfTZ9Lb0mfR89Fv0NvQL897zs/OK82DzNPMJ8uHyu/KU8m/yS/Iq8gzx8PHW8b7xpPGG8WfxR/Ep8Qvw8PDX8MHwrvCc8IzwffBu8F3wS/A88DHwJfAY8A3wC/AO8AzwBO/77/rwAPAJ8BLwGvAj8C7wPfBQ8GTwePCN8KfwwvDc8PTxD/Es8UfxZfGJ8bHx1PHv8gvyL/JY8oHyq/LY8wjzOPNo85fzwPPi9Ab0NfRs9J70xPTp9Rb1S/WA9bT17vYq9l/2jfa49ur3I/dd95X3yPf3+Cf4WviP+MT49vko+Vn5i/m++fD6IfpP+nv6o/rM+vX7G/s7+1n7efuc+7373Pv6/Br8OvxY/HX8kvyx/NP89/0c/T/9YP2D/aj9zP3s/g3+Mv5X/nr+nv7G/uz/C/8m/0b/bP+Q/7D/1gAAACIANwBLAGgAhACVAKAAtQDSAPABDQEiARwA4QB5AAz/vv+f/7kAHwDQAaMCXALSAw0DKgNIA2wDiQONA3gDTQMNArUCTQHyAbEBgQFQARwA5QCrAHAAQAAb/+7/sP91/1b/SP8v/wb+4P7A/pP+Vv4f/fD9sv1a/QL8xvyj/JP8mPyf/In8fv0A/lwAAQDdAGn/KP34/Sn8e/u6+wL6cPn1+YT5OPkq+UT5Yvl6+Y/5k/l1+UH5Bfi1+DP3jvcE9sb2zvbq9uv2t/ZR9dL1V/Tx9J30VvQp9CL0N/RI9D70EPO/80jys/IU8Xvw7vBw8A/v1e+s72Lu3e5E7dvtyO317jXucO6h7r/utu6A7i/t3u2g7Xztce127YHtlO2x7dnt/+4Y7iXuMe4+7kbuRu5D7kbuTu5U7lfuXe5u7onupe6/7tru+u8f70HvYe+C76Tvx+/u8BvwSvB28J7wyfD78S/xZPGc8dryHvJr8sXzKvOR8/n0Y/TG9RH1RPV29bz2DfZV9o32xPcC9z73d/ey9+v4Gvg8+GL4lfjL+Pj5H/lK+Xj5o/nO+f76Mfpk+pr62PsY+1H7g/u0++X8FfxG/H/8u/zw/R/9Uv2J/bz96/4f/lv+lP7G/vn/Mv9q/53/0AAIAEAAdACpAOMBHgFUAYcBvgH4Ai0CXgKQAsMC9gMnA1cDhwO1A+IEEQRCBHIEnwTLBPUFHwVIBXEFlAWvBcoF5wYABg8GFgYfBisGNQZCBloGeQaXBrIG1Ab8ByMHSQd0B5sHqQenB8oIPgjyCakKOAqcCtsK+gsDCw0LIAs0C0MLXQuRC9gMIQxdDIEMjgycDNINNQ2aDcoNug2JDVQNHQzhDK0MkAyDDHoMbgxiDFYMRww5DCgMCgvcC6YLcgtHCykLHAslCzsLUAtfC2gLZAtKCx8K8grLCqcKgApVCi0KDQn6CfIJ7QngCcUJogmBCWQJSwk2CSAJCwjwCNEItQifCJUIogjKCP8JJAkiCQEI3QjKCMQItwidCIcIiAigCLoIxgjDCLwItwi7CMwI5gj4CPQI4AjTCNYI4QjjCNYIvgidCHQIRQgTB9wHqAd+B2EHTgc/By0HEwbpBrUGiQZtBlMGJgXlBZ8FYQUrBPkEzgSoBH0ESwQaA/IDzgOlA3QDPwMGAsgCjAJZAjACDQHpAcABkwFmAUMBLgEiARcBBgDzAOIA1QDOAMcAuQClAJEAgQBxAFoAOwAdAAT/7v/Z/8L/qf+Q/3v/Z/9G/xL+2P6u/pr+jv5//nb+fP6R/q/+0v7z/wD+7f7E/pf+c/5Y/kD+JP3+/dP9t/23/cz95v4J/kX+k/7P/tP+lv40/dn9sv3Z/jn+lv64/p7+bf5B/g/9xf1r/SH8+/z6/Qf9Cfzt/LD8Yfwa++j7yvuy+5b7ePtd+0n7NfsT+tf6f/oa+br5YvkH+Kj4Vvgj+Az3/Pfo98v3m/dM9uT2ivZd9lX2UPZA9if2AvXH9X71RPUp9Rn0+PS59F7z4/NJ8qLyAPFa8Kjv9e9j7v3ur+5k7hzt3+2w7ZLtg+107UjtAezG7Lzs1Ozl7OLs1+y+7H3sHeve6/DsKuww69brR+rF6mLqCemp6Ufo7OiT6Dbn1+eA5zPm7Oah5k/l9+Wi5VTlB+S15GDkDuPA427jFeK64mXiFeHI4XzhMODh4I7gPN/v36DfTd793rfefN4+3fPdod1S3Q/c2tyw3IzcbdxW3EvcQ9wx3BTb99ve27nbgNtC2xDa59q32oragNqp2vTbRtuW29zb/tvh24/bOtsO2wnbDNsA2vDa99sg21fbgduW26DblttT2r7aAdlz2UnZdNm82f7aPNp+2sbbFNto27/cEtxf3K3dAN1P3ZDdwd3u3izekN8b37TgP+C64S/hpuIe4p7jMuPU5Gvk7uVr5enmWOas5vTnPOdu527nSuc752rnx+gV6BbnuudD5y/n2OkV6lrrQOvT7FXs4O1X7a/t++5W7sjvWfAL8MXxZ/Hm8lPyt/MH80jzk/P19FX0nPTX9Rv1Y/Wf9dH2D/Zb9qb27Pc+96L4Cvhr+Mz5NPma+e/6M/py+rP69fs7+4z76vxT/Mj9Rv3F/jb+lv7w/1D/tQAXAHgA4wFfAeQCYALHAxkDYAOoA/cESgScBPEFUgXCBjYGowcKB3UH4QhBCJYI+wmHCjEK1gtaC7YL+gxDDKkNMg3IDkwOsw8HD1QPnQ/jEC8QjhEKEaASRxLnE2wT3BRGFK4U/BUnFUEVWxVrFWIVUhVpFcQWWRcIF54X8RgFGBgYaRjfGTcZbRnSGmwajBlXFtMUKRK0EtwT+BUbFdYWPBaBFrUW0xbbFtQWwhapFpEWgxZ6FmkWThY6FjUWNBYoFhkWFRYZFhEWAhYDFhMWHRYeFjwWihbYFukWxBapFrAWuRawFqsWtxa0FpkWoRbuFx4WnxV0FFET3RQGFEkUWhRGFAwTfBKREZ8RCRDhEPkRIxFREXkRmhHGEhISeRLmE1ITwxQxFHoUixR3FF0URRQiE/QTyxOrE4gTVhMcEucSsxJ4EjYR/RHWEbQRihFfEUERLxEeEQsQ/RDuEM8QnBBsEFQQTBBEEDMQHhAID/AP2w/ID6sPhQ9sD2UPSw8BDrgOyA8pD1wPBw5tDhYOHw4oDfgNug2kDZYNXA0WDRMNXw2tDbgNfw0kDMAMawxCDEgMUgwzC+8LrguNC4cLiAt3C0cK/Qq4CpMKiAqECogKoQq9CrYKgAo/ChcKAAnhCbAJdQkvCOgI0QkZCZ0J9AnXCW0JDQjcCL4InwiLCIkIfwheCDQIGQgHB+0HyweqB4cHVgcgBvkG4wbIBqEGdwZYBkEGLwYnBiUGFwXwBcEFnwWKBW8FTAUtBRkFBgTtBNMEvASlBIwEeARtBGYEXARSBE8EUgRTBEsEPQQtBCEEHQQiBCwEOARFBFAEUARFBDkEMAQlBBIEBAQMBCcEOwQzBBgEBAQMBC0EWwSUBNIFCAUeBQgE2ASyBKoEtQTABMsE4AT2BPsE6gTZBOEFCAU+BWoFcQVLBRUFBQUpBVgFWAUnBPIE1gTJBK8EhgRcBDwEJgQcBBQD/gPaA70DvgPUA9wDxAOXA20DUAM9Ay0DGwMEAucCxwKpAo8CewJqAloCRgIxAhwCBwHvAdYBwQGwAZsBggFnAU4BNwEdAQEA4gC+AJYAcQBTADoAHwAC/+z/3P/N/7r/pv+T/4H/a/9V/z//Kv8S/vr+4v7J/q7+kf5y/lD+Lv4O/fD90/22/Zf9ef1a/Tr9G/z9/OD8v/yX/Gz8QPwV++z7w/uZ+277QPsM+tT6m/pm+jb6Cfnf+br5k/lk+Sz48/jC+Jr4c/hL+CD38Pe794T3Ufci9vb2zfal9n32T/Yc9en1ufWJ9Vj1KPT+9Nv0u/Sa9Hj0VfQu9ATz2/Oz84nzX/M18w3y5fK98pbydPJV8jXyGPH98eTxyPGp8YvxbfFQ8TPxGPEB8Ozw2fDH8LfwqPCZ8Ijwd/Bn8FnwTPA/8DTwL/Au8CzwJvAh8CHwJvAs8DHwN/A/8ErwWvBu8ITwm/Cx8Mrw4/D58RHxLvFO8W3xi/Gt8dPx9fIR8i7yUfJ28pryv/Lq8xrzSvN586jz1PP69CH0UfSI9Lv03/T+9R/1SPV29az16fYq9mX2lvbB9u/3Ivda95P3x/f3+Cf4WviP+MP49fkk+VL5gPmv+eD6EPo/+mz6lvq++uP7Bvsl+0T7ZfuI+6v7zfvu/BD8M/xV/HL8jfyp/Mz89P0d/UP9Y/2D/ab9y/3x/hf+O/5c/nr+nP7B/uX/Bf8n/03/cP+L/6P/xP/uABMALwBOAHAAigCTAJYApwDHAOsBEgE/AWYBaAEzANIAYwAO//0AUAEDAeUCsQMyA2MDZANlA4EDpwO3A6IDcwM3Au0ClQI/AfsBxwGWAV4BFgDAAGoAJf/y/7f/bv8t/w7/CP8A/vD+4P7K/pz+Xf4k/fb9u/1z/Tf9EPz2/PH9Ev0z/Rb85P1W/uYA9wI2Ae4Aqv9i/mv9dfxU+0T6ifoe+eX52fny+hD6FfoN+gr5/PnP+ZX5Zvkt+MH4Kve296H31vgD9+f3dvbM9hX1ePUC9Kj0YPQx9C70SPRY9Dbz3vNg8svyKPGC8OnwafAI78nvo+977zTuy+5l7jHuQe6B7svvBu8l7yHu+O607mjuIe3p7cHtre2o7a3tu+3U7ffuGu417kbuUu5b7l7uWu5U7lHuVO5b7l7uYe5r7n/ume607tDu8O8S7zXvWe9+76DvwO/k8BTwS/B/8LDw4/Eb8VHxgvG08eryIvJg8qvzBvNq8870MfSM9NP1BfU19Xb1wvYJ9kn2jPbW9yH3aPev9/L4J/hQ+Hv4r/jg+Qb5K/lY+Yv5ufnl+hT6RPpy+qL62/sY+1D7gvuz++T8EvxC/Hn8t/zx/Sf9YP2b/dD9//4z/m/+qv7e/xD/Rf95/6n/2QANAEMAdgCqAOEBGgFRAYUBuQHsAh4CTwKEArgC5wMUA0MDcgOeA8kD+AQpBFYEfwSoBNME/QUoBVUFfwWlBcYF5QX9BggGCwYPBhYGHgYqBj4GWAZxBosGrAbVBv8HKQdVB3YHfweFB7wIPgjvCZkKJgqYCuoLDwsPCw0LHws9C1sLeQujC9sMHQxhDJMMoQyaDK4M+g1dDZsNmQ1wDT4NCAzODJgMdwxqDGcMZgxiDFsMUAxDDDAMEgvkC68LewtNCykLFQsRCxgLIwszC0QLSQs0CwoK3Aq1CpIKcApMCikKCgnzCeYJ3wnRCbYJlAl1CVwJRgkyCRoI+gjXCLYIngiVCKIIyQkECToJUwlHCSQJAwjzCO0I5AjTCMUIyAjaCOsI6wjdCM4IxwjNCOMJBAkcCR0JDQkECQ8JHgkeCQcI4wi7CJEIYQgnB+UHpAd0B1oHUAdKBz4HLAcNBuIGswaJBmAGKgXiBZUFUgUdBPIEywSdBGQEJAPpA7wDmQN4A1ADHwLkAqECYgItAf0BzwGhAXQBSQEfAPsA4wDVAMgAtACbAIMAdABxAHUAcQBgAEwAQAA4ACgAC//t/9n/zf/A/6n/if9r/1r/U/8//xD+0v6e/n/+Zf5G/ir+Iv4w/k7+df6c/rD+pf6B/lb+NP4c/gv99v3N/ZX9af1o/Y79wf31/jb+if7P/uH+r/5I/dj9mv20/hf+df6H/kz+BP3e/dD9rf1j/Qb8uPyS/Jb8sfy+/Jz8Tfv4+8H7p/uR+237RPsl+xP7Afrd+qH6TPnq+Yf5KPjI+Gr4H/fw99b3wfer95L3afcY9qv2T/Yo9if2JfYU9gT19fXR9Yv1N/Tt9K30bPQm89jzdPLx8l3xx/El8Gjvoe797pXuVe4g7eftrO117UvtOO0s7QLssexl7Fbsh+zI7Ovs4eyy7GzsMOwm7EzsZuw1673rNOrD6mPqAemd6UDo6OiK6CXnw+dq5xfmxuZ15iPlzuV65Svk4OST5EPj8uOh407i9OKZ4kHh8OGj4VjhCuC34GHgDt/A33PfIt7T3o3eTt4M3cPddd0q3Obcr9yD3F3cN9wY3Afb/9v02+Lby9uw24nbVtsh2vXaydqS2l7aSdpf2pXa3ts625Hbsdt92xza29rl2xfbMdsZ2u3a2dru2x7bSttj22XbT9sO2pjaBNmL2VnZbdmm2ebaJNpk2qja9dtK26Hb8dw83Irc3d0x3X3du93t3iXeft8D35/gMOCu4SThn+Id4qLjN+PY5HDk+eV85gDmcebD5wfnS+d653jnWudc55nn8egn6BHnrOcq5v7ni+jE6iXrNOvn7HvtDe2G7dbuHO597v/vnfBO8QDxmvIV8oHy4/Mx827ztvQY9IL01PUS9VP1mfXW9gz2SvaV9uL3LPd/9974QPie+QD5afnR+in6cfqy+vL7NPt8+9D8LfyS/QT9hP4D/m7+w/8S/27/1QA9AKABCgGGAhECmgMNA2MDpQPlBC8EhATeBToFngYKBnsG6AdVB8oIQQimCPwJYwn2CqULPAudC98MLAyUDQgNeg3oDlUOuw8QD1cPoQ/7EGkQ4hFiEfESjxMsE7MUIBSCFNcVDxUqFUQVbRWKFXoVThVSFbsWeRc9F8MYABggGF0YyBk2GXcZohoEGqca8RoNF8kVBBMXEsMTtxUCFe4WZBakFtoXAhcPFwgW/BbrFtYWwxa3FqcWjhZ1FmkWYxZWFkgWRBZGFkEWOhZEFloWZBZnFo0W2BcOFvsWvhaiFrQWwha4FroW1hbhFsoWzhcPFyoWlBVlFGwUUhTkFXcVqRWOFToUlhOyEu0SnxK/EvwTIhMwEzITLxM4E14TmhPTFAsUXBTFFRgVLRULFNsUqxRsFCMT6hPNE7ATdRMsEv4S8RLdEp4SQBHmEaURdxFbEVARSRExEQsQ8hDrEOEQwRCXEHwQbRBbEEYQNRAnEBAP8g/aD8kPtw+nD50Pgg8+DvMO5g8eD0YPFQ6xDnUOcw5oDiwN6w3NDbQNcQ0nDSUNfA3hDf4NwA1ODNcMewxTDF8MggyUDHsMPwv6C8ULpAuIC1kLGQrcCrUKpgqqCsIK3ArTCo4KKQncCb0JtQmkCY0JdglYCTMJJwlWCaYJ0wm+CYgJWwkxCPUIuAicCJ8ImQh2CE0INAggCAAH3gfLB7cHjQdVBy0HFwb9BtAGowaDBm0GXAZSBkoGMgYABcoFrAWkBZgFfAVXBTQFEQTwBNYExgS5BKgElgSJBIEEewR1BG0EYgRXBEwEPgQpBBEEBAQHBBAEGwQoBDcEPAQ2BC0EKQQgBAsD+AP8BBgEMwQ5BDEEMQQ+BFEEZwSIBLkE7AUGBPcEzgSuBKoEuATIBNsE9wUPBREE/wTyBP8FIgVRBX4FjgVpBSIE9gUQBVAFbwVTBSEE/wTpBMoEnQRuBEgEMQQrBC0EJAQGA+YD4QP1BAMD9APOA6MDfwNjA04DPQMpAw8C8gLVAroCowKRAoECbgJVAj0CJgIRAfwB6gHYAcIBqAGOAXYBXAE/ASIBBQDmAMUAowCGAGsASwAqABD//v/u/9v/yP+1/6D/if9z/17/Sf8y/xr/A/7s/tP+uP6Z/nj+VP4x/hH98/3V/bb9lv12/VT9Mv0U/Pb81vyu/IT8Wvwz/Av74fu1+4j7WPsh+uj6sPp++k/6JPn++d35uvmN+VX5G/jm+Lb4i/hh+Dj4C/fW9573aPc39wr24fa79pf2cPZF9hb15fWy9X71UPUp9QX03/S59Jb0c/RN9CTz/fPX86/zh/Nh8zvzE/Lp8sLyofKB8l/yPvIi8gjx6/HL8a3xkvF28VnxPfEn8RPxAvDx8ODw0PDB8LLwofCQ8ILwdfBq8F7wVfBQ8E3wSfBH8EnwTvBS8FXwWvBi8GzwevCO8KXwvvDV8OzxA/EZ8TDxTPFt8YzxqfHI8eryC/Ir8kzyb/KS8rLy1vMC8zHzXvOK87nz7PQd9Ez0f/S39Ov1FPUy9Uz1afWO9b/19/Yx9mf2lvbC9u33HPdQ94f3vvfy+CX4WfiO+MH48Pkd+Uj5c/mf+c35/Por+lj6hfqv+tf6/Pse+z37Wvt6+577xPvn/Aj8KfxK/Gj8g/yj/Mj88v0c/UP9Zv2I/ar9z/32/hz+Pv5d/n3+n/7B/t7++v8c/0X/a/+K/6P/wP/g//4AGgA7AGAAewCHAJMArADPAO0BCAErAVsBhwGVAXIBHACxAGkAfwEKAecCzQNzA7cDswOmA70D7gQPBAIDzAN/AycCzQJ/AkQCEwHeAZwBSADjAHoAIv/c/5j/UP8Y/wP/Bv8M/w3/CP7w/rr+df46/gn91f2o/ZP9if1w/Vv9cv2U/W/9Gf1P/p8AhAHJAccA7wAA/xr97fx8+z76jvpT+k76ZPqL+qL6l/qB+nb6Zvo5+f351Pmt+Vz45/iW+KL45/kI+MT4IPdG9mj1pvUO9KH0XPRF9Fj0dvRq9BTze/K+8frxOPCE7+3vhu9S70fvSO887xPu2O6k7pLure7v70Hvh++l743vSu7z7qHuXu4t7grt8u3j7dvt3u3x7hHuN+5Z7nDueO527nHuau5g7lfuVO5Z7mPua+5y7n7uku6s7sru6u8K7yrvTu9075nvuu/e8A3wRPB58K7w6PEn8WLxlvHI8fzyMPJk8qLy7/NG85/z9vRM9Jf01PUN9U71l/Xd9iH2bfbE9x/3effP+B34WfiL+MD4+Pkk+UL5YPmO+cX59voj+lP6g/qr+tL7APs1+2j7mfvN/AD8L/xc/JH8zv0J/UL9fv29/ff+KP5Z/pH+y/8A/zH/Zf+Z/8n/+AAqAF4AjwC/APMBKAFcAY4BwAHvAh4CUQKJAr0C6gMUA0IDcAOaA8MD8QQfBEYEaQSOBLgE4QUKBTgFaQWWBboF2AXvBfwGAgYFBggGDAYTBiIGOQZSBm4GkAa6BuQHDwc2B1EHXwd8B9AIYQkHCZoKGQqRCvQLIwsiCxcLJgtPC38LqgvMC+0MGwxbDJYMrAycDJYMwQ0ODUsNWg1HDScM/gzLDJsMegxrDGUMYwxjDGMMXgxTDD8MIAv1C8ULkwtiCzkLGwsKCwILAQsKCxkLHAsJCuUKwAqiCogKbgpSCjUKFwn7CecJ1wnBCaEJfwlmCVUJRgkzCRUI6Ai9CJ0IjwiXCLgI8AkwCWMJdAlmCUgJLQkcCRAJAgjxCOUI6Qj4CQQJAgj9CQYJHAkxCT0JRAlHCUAJNgk0CUIJUAlLCS0JAgjVCKgIcQguB+MHnAdtB1kHUgdHBzgHKAcVBvMGvwaFBksGDwXKBYIFQgUSBOwExQSSBFEECgPHA5MDagNFAx0C6wKwAnECOQIIAdYBnwFoATYBCgDgALoAmgB/AGcATwA1AB4AEwAZACoAMAAjABAACQAMAAb/7f/L/7L/pf+b/4b/Yv88/yb/H/8U/vH+vf6P/m7+S/4e/fT94f3n/f7+Hf49/lD+TP43/hn9+f3d/cz9vv2d/WD9Jv0a/UL9gP3B/gv+Y/6w/s3+qv5V/e/9qv2w/fz+R/5J/f79o/1y/Wr9ZP1C/QH8tPx7/HP8mfy8/KT8R/vY+4/7cPtZ+zH7A/rn+t761/rA+o76Rfnp+YT5Hvi9+Gb4I/f299D3pvd891r3Mvbr9oz2QvYn9ib2FPXw9dj10fW59XX1EvSs9E/z+/Ov82fzD/Kb8hTxhvDg8BLvNe6E7h7t7+3N7aDtZ+0p7PTs2OzM7K3sbews7CPsXeyu7ODs2+yr7HDsUOxc7HXsZOwR65nrKerK6mnp/umX6T/o6eiG6Bvnt+db5wLmqOZR5f3lp+VQ5P7ks+Rr5CDj0eN/4yni0eJ44iHhzuGA4TPg4uCM4DXf4t+V30re/9623nDeKt3i3ZrdU90L3MXch9xV3CrcAdvd28fbvdu226zbnduE21zbKtr72tHaoNpm2jPaHtom2kHacdrA2xbbOdsO2sXasdrp2zPbSNsf2ufazNrZ2v3bI9s22yvbAtrA2mraCNmt2XLZatmQ2dDaFdpV2pTa29st24Hb0Nwb3GrcwN0Z3W/du9333i/egd7/35jgLOCq4SDhneIf4qXjNuPU5HDlAeWP5hnmjebg5yTnYueF53nnYud658roHOg46BDnq+cv5vXnZ+iS6gXrNuwF7KvtR+3A7gruS+6y70Tv6vCV8Tzx0fJO8rjzFfNf85zz6PRR9MH1F/VT9ZD11/Yc9lj2lfbb9yb3c/fG+CH4ffjX+Tb5oPoK+mb6s/r1+zb7fPvL/CL8ffze/Uz9xv49/p7+7f87/5cAAQBuANgBRgHDAlEC3ANOA50D2AQUBF4EuAUaBX4F5AZOBrwHKwehCCIIpAkTCW4J0gpgCwQLiwvZDBIMawznDWANvw4TDnEO1A8lD2cPsRAcEKQRNBG/EkkS1hNiE9oUOBR8FK0U0hT/FUYVmRXAFZYVSRVGFdAWuBeCF+YYBxg4GKIZIBlzGYcZjRnRGl8axhpIGH0V3BOcEs4ThBTgFfUWfhbCFwIXNBdAFzYXLxcqFxkXABbwFuMWzBauFpoWkRaJFoAWfRZ9FngWdRaFFqAWrRa0FtYXEhcvFwcWyha9Ft0W7xblFuwXEBcgFwcXBBc6F0UWoxV/FLUU6RXZFsAXIxcMFqIV8hUgFH8UQxROFFwUTxQ0FBYT+RPuFAYUMhRZFIEUyhUyFYMVjRVfFSUU7hSmFFQUGxQCE98TkxNFEzQTXRNpExcSgBH0EaQRhBF4EXIRZBFCERMQ9RD0EPwQ8xDdEMUQqhCEEF4QSBA8ECYQBQ/tD+oP7w/sD+APwg+JD0kPLQ9AD1IPNA71DsoOvA6hDmgOLQ4HDd4Nlg1NDUQNjg3zDiQN/Q2TDRUMsgyMDKkM6Q0UDP4Mpgw6C+cLuguWC2ALHQrlCsIKtgrBCuYLCAr2Cp8KKQnUCbEJpgmYCYsJiwmYCasJywn1CgkJ6gmrCX0JbglXCRsI0wiuCKgImwh1CFAIPQgsCA8H8wflB9UHrAd3B1UHRQcsBwAG0wa1Bp4GhgZvBloGOAYDBdEFvQXEBcYFrgWABUwFHQT5BOAE0QTEBLYEqgShBJwEmgSYBJAEfgRpBFoESgQvBBAD/gP8BAIEBwQTBCQELAQlBBwEGwQWBAMD6wPnA/sEFwQwBEsEagSABH4EbgRrBIQErwTOBM4EtwSlBKUEsgTBBNUE8gULBRAFBgUDBREFKwVSBYoFugWxBWQFDgT4BSQFVAVXBTcFFQT6BOAExgSpBIQEWwRBBD8EQAQsBAoD9AP2BAAD/APkA8EDmQN0A1kDRwM4AycDFAMAAugCzgK3AqQCkQJ5Al8CRwIzAiECEQH/AeoB0AG1AZsBgAFhAUMBKQERAPUA1wC6AJoAeABXADsAJgAR//3/6v/X/8L/qv+T/3//av9T/zz/Jf8O/vX+2v6+/p/+fP5X/jT+Ff34/dn9uP2U/W/9S/0q/Qz86vzE/Jv8dfxQ/Cr8APvU+6X7cfs5+wL6zvqe+nD6RPod+fz52vmv+Xr5Q/kP+Nz4qvh6+E74Iffv97n3hfdT9yP29/bR9q/2jvZo9j72D/Xa9ab1efVU9TD1B/Tf9Lr0lfRt9ET0H/P789bzr/OK82jzQfMY8vLy0fKw8ovyZ/JK8i/yEvHy8dTxufGd8X/xY/FN8TzxK/Ea8Qjw9/Do8Nrwy/C58KnwnfCT8IjwfPB18HHwbvBs8G/wdPB58H3wg/CM8Jfwo/Cz8Mjw3vDz8QnxIPE48VDxa/GJ8ajxw/He8fzyHPI+8mLyhvKp8sry8PMd80zzd/Oe88v0AfQ69HD0o/TY9Q/1QfVo9YP1nPW89ef2FvZD9m72mvbH9vP3H/dP94X3vPfx+Cb4XPiS+MP48fkb+UT5bPmX+cX58vod+kn6dvqi+sz69vsc+zz7WPt1+5n7wPvk/AP8IPw+/Fz8fPyh/Mn88f0X/T79Zv2N/bH91P33/hj+N/5X/nz+o/7D/tz+9P8R/zX/W/+A/6P/wv/d//YAEAAuAEsAYQByAIkArADUAPYBEAEoAUoBegGvAcsBrwFYAPIAwwEFAb0CrgN/A+8EAQP1BAsESwSRBK4EigQnA54DGgLAAo4CZgIsAd0BfwEXAK8AVQAL/8n/jv9s/2v/eP97/3H/Xf80/vP+qP5n/jD+Bv3//iL+Qf4s/fv96/30/cP9Vv0+/f7/TQBSAJgAW//r/yT90vxF+xz6nfqG+on6m/rJ+vr7C/sH+wH67/q7+nT6PPoS+db5iPlc+W75lfmF+Rf4YfeP9r/2APVa9Nj0iPRs9HT0cfQy86Ty2fHz8QnwLe9w7uruqu6u7tvvDu8s7y/vIe8Q7wbvEe8+74nv1O/47+LvnO9C7uvupe517lbuO+4f7gTt+e4F7iPuTe507ozuj+6C7nfuc+5u7mPuWe5Z7mbuc+577oTulO6s7sru6e8H7yXvR+9u75fvvu/k8BDwP/Bu8J7w1PES8VDxiPG/8fjyL/Ji8pny3PMm83PzwvQW9Gv0ufUC9U71mvXi9in2ePbU9zf3nff++FL4k/jN+Qv5Sfl0+Yz5qPnX+g/6Qfpu+p/6z/r3+xn7Qftv+577zvwD/Dj8aPyU/Mb9AP04/Wv9ov3h/hz+Tf56/q3+4/8W/0n/ff+y/+YAGABKAHwAqwDaAQsBOwFqAZkByAH2AiMCVwKPAsMC7wMbA0oDeQOhA8kD9AQeBD4EWQR6BKEEyATuBRsFTgV9BaEFwAXeBfkGCQYPBg0GCQYIBhIGKQZIBmoGkQa9BuwHGAc6B08HYweUB/0IkAkjCZsKBwp7CuYLJgsyCy0LPgtvC60L4wwBDA4MJwxeDKAMwQyyDJYMmgzBDO8NCg0TDQ0M9wzVDLUMngyNDHwMcAxvDHcMfQx3DGIMQAwWC+YLtAuBC1MLLwsVCwIK9wr3CvsK9grgCsEKpwqWCogKdgpgCkYKKAoLCfEJ1wm2CZAJcAlfCVcJTQk4CRYI3gitCJMIlAiuCNwJGAlUCX8JjAmACWgJUQk9CSwJGAkECPcI+QkECQsJEAktCXEJxAn0CekJuAmHCWgJVwlVCWAJcAlvCVUJJwjwCLMIbQgfB9EHkgduB2AHUgc3BxUG/QbuBtIGnwZhBiUF7gWyBXMFPAUSBOwEvwSFBEMD/wO8A4EDTAMaAuUCqgJsAjYCCgHhAbABdQE3AP8AzgCiAHkAUAAqAAn/8v/h/9X/0//i//sACP///+7/6f/u/+n/z/+q/4z/fv92/2b/RP8Z/vr+6f7Y/rn+kv5z/lz+Of4D/c79r/2p/bT9x/3d/ez98P3s/d79wP2Z/X39cv1e/S789Pzc/PX9Lv14/dj+RP6a/rv+p/5x/i399P3n/gv+NP4o/d39fv05/Rn9E/0Z/Rf8/vzW/MX82Pzl/LD8M/ur+1f7N/sj+wD62frE+sD6vfqu+oz6VPoF+ab5Q/jn+Jj4Xfgw9//3v/d790T3EvbQ9ob2VfZO9lD2MvX+9dn1yvWs9WD08/SG9CbzzfN58yXywvJH8bzxKPB575/uuu4H7abtfO1e7TftCezY7Kfsguxq7E/sJev/6/zsJuxh7Ivskux97GLsV+xe7FrsLevX63jrJOrQ6mrp++mX6ULo6OiA6BXnsudV5vXmluY65eHlhuUr5NXkieRE4/3jsONc4wXireJX4gLhruFd4Q7gu+Bi4Avfut9u3ybe4N6e3lneDd3A3XndNtzw3KjcZdwt2/zbz9up25Hbg9t823jbcNtd2zXbA9rU2qjac9o22gbZ9dn32f/aGtpb2rHa4trQ2qjasNrv2ybbIdrt2sDattrD2tja7dr32uXatdp92kraF9nV2ZHZbtmC2cDaCdpG2n3avtsO22Hbrtv53EzcqN0H3WTdut4B3j/ej98G35vgL+Cv4SbhouIj4qXjMOPI5GblAeWb5i7mqOcD50rngueW537nbOeZ5/foQ+hO6B7nx+dZ5xbnbOiD6frrQ+wr7OHthe3+7kDue+7m74PwL/DU8XLyBfKG8vbzVPOf8+H0NPSh9Q/1X/WU9c72GPZm9qf24vci92r3uPgO+Gr4wvkW+XL52/pH+qn6+fs9+4H7zfwh/Hf8zP0o/ZL+Bf5w/sr/Gf9s/8oANACjARQBiQILApgDHAOBA8UD+wQ8BI4E7AVQBboGJwaWBwcHfAf3CHoI/QlwCc0KKgqlCzMLrQv9DEUMrw01Da4OBQ5PDqIO9w8/D4EP0xBJEN0RghIlErMTJROAE80UChQzFFEUghThFWYV1RXmFY0VJhU2FfUXCBfWGB0YJhheGNoZUBl6GV0ZNRlEGaYaJRooGQcWvxRQEwoTaxTAFfIWkRbgFywXaBd1F2UXYBdiF1MXNRciFxgXAxbiFssWxxbHFsEWuxa4FrUWthbGFt8W7Rb2FxYXShdjF0YXGxcZFzYXPxcuFy8XShdSFz4XRhd9F3sW1RXHFScVgxaQF44YAxf0F5EW/hZfFegVpxV/FU4VFRTeFKQUaBRGFFQUgRSpFM4VDRVhFZkVlRVtFUcVIhTmFJoUYBQ6FAMTsBN/E6gT/RQFE3wSpBH5EbMRrBGoEZERcRFNESwRFxEXER8RIBEZEQsQ7RC7EIUQYxBTED8QJBATEBcQIxAlEBYP+w/TD6YPhw99D3MPVA8oDwUO7g7RDqUOdA5IDhMNzA2KDXYNpQ36DjsOOA3kDWQM9gzLDO4NMA1NDRUMmQwbC9MLvAumC24LIQriCsAKtwrFCucLBAr4CrYKXgoaCfUJ2wm7CZ4Jmwm+CgMKVAqOCoUKMQnBCXEJUgk7CQoIzwisCKAIjwhuCFEIQwg1CB8ICQf6B+QHugeNB3UHawdSBycG/gbhBsUGoAZ9BmIGQQYPBeAFzQXVBdsFxwWYBWAFLgUMBPQE3wTJBLkEswSzBLAErQSsBKYElQR/BG0EWwQ/BCAEDAQGBAID/AQCBBIEHAQWBA0EDAQKA/kD4gPZA+QD+QQbBE8EiQSoBJsEeARiBG0EkASxBL0EtgSuBK8EtQS9BMkE3QTvBPUE9AT7BQoFFgUwBXIFzQX6BcoFYQUWBRUFOwVUBUsFKwUJBPgE/AUABOEEnwRkBFIEWgRVBDQEEAQABAEEAAPwA9ADpwOCA2kDWwNNAz0DLwMiAxEC9gLaAsMCrgKXAn4CZwJUAkQCNQIlAhEB+AHdAcMBqAGLAW8BVgE/ASUBCADoAMgApgCHAGwAUwA8ACUAEf/+/+j/0P+5/6X/j/93/1//Sf8x/xb++v7g/sT+o/59/lr+Ov4c/f392v2z/Yv9Zf1D/SL8//zZ/LP8jvxp/EX8Hfvx+8H7jPtV+yL68vrF+pb6aPo/+hr59PnI+Zf5Z/k5+Qn41Pie+Gv4O/gL99r3qfd390P3FPbs9sn2qPaE9lv2LvX79cn1n/V89Vf1L/UH9OL0vPSS9Gn0RfQk8/3z1POv847za/NF8yHzAfLe8rjylPJ38lzyQPIg8gLx5fHG8ajxjfF58WjxV/FE8TDxH/ER8QXw9vDj8NDww/C68K/wo/Cc8JrwmPCW8JfwnPCi8KjwsfC88Mbw0PDc8O3w/fEO8SHxO/FX8XDxiPGj8cDx3fH38hHyL/JQ8nTymfK+8uLzCfM282XzkPO289/0EPRG9Hj0pvTX9Q71SPV79aD1vvXg9gr2NPZZ9n72qPbY9wb3Mvdg95P3xvf3+Cv4YviY+Mn49fkf+Uf5bvmZ+cb58fob+kT6b/qZ+sL66/sV+zn7WPt3+5v7wPvj/AH8Hvw6/Fj8evyj/M388v0S/Tf9Yv2O/bT91/33/hX+Mf5Q/nb+nf69/tj+8/8Q/y7/T/9y/5j/uf/V//AADgArAEAAUQBlAIAAowDKAPMBGwE7AVQBdQGoAd8B9wHSAX0BLQErAaACdANTA+cEGgQaBC4EewTyBVoFdQUbBGgDqgMoAugCuQJ1AhgBswFUAQMAxgCYAG8AVABYAHUAhwByAD3//P+0/1//Av6r/mT+Qv5h/rn/BP7//r7+iP5p/iL9pP1R/ZD+Sf8G/33/rf+B/rv9Yfv7+xj6w/qb+nH6dfrO+1D7rfvG+6z7cPsZ+rz6c/pC+hn58vnf+d75zfmF+QP4aPfM9zT2mPX69Wf09fSr9HT0KfOp8vPyGvEy8Ervd+7S7nTuYu6P7tzvKu9l74vvo++t76fvnO+k78rv+/AW8Azv4e+g71XvDO7T7q3uiu5f7jPuGu4b7jHuUu5z7onuiu587nLudu597nrubu5o7m3udu6A7ovum+6x7svu6O8H7yfvR+9t75jvw+/t8BbwQPBq8JPwwvD48TLxbPGn8eXyIfJZ8pHy0PMV813zqfP89Fb0sPUH9V31sfX/9kj2lfbq90r3svgZ+G/4svju+TD5cvmf+bj51/oJ+kT6dvqk+tX7CPs0+1r7g/uy++D8DvxC/Hf8pfzQ/QD9Nf1m/ZH9wP34/jD+Yf6N/rz+7/8j/1b/i//A//QAKABaAIoAuADnARcBRAFwAZ0BzAH5AiQCVQKKArwC6gMZA0wDfQOmA84D+QQhBD4EVQRzBJkEvwTjBQ0FPQVlBYYFqQXWBgAGHAYmBiYGIwYhBicGPAZdBoMGqwbZBwwHPAddB3AHhge+CCgIrwktCZEJ7gpYCsQLFAs8C08LawueC94MFAwuDDEMPQxuDLMM3AzODJ8Megx2DI4MswzWDOsM7AzhDNgM0QzCDKoMlgyWDKYMtAyxDJgMbQw6DAYL0QueC28LSgstCxULAwr5CvMK5wrNCq8KmQqOCoYKewppClEKNQoaCf8J4Am6CZMJdwlqCWgJXwlFCSQI4QivCJ8IswjdCRAJRwl4CZkJowmYCYMJbAlVCT8JKQkVCQgJCAkNCQ8JHQleCeEKcQq6CpUKLAnFCYUJZglaCWMJewmPCYQJVQkKCLMIWQgEB70HjAdzB2cHTwcfBugGwgasBpIGZgYxBgAF1AWhBWoFOgUUBOoEswR0BDUD+AO5A3cDNwL3ArQCbwIwAf4B1gGsAXUBNADxALQAfwBTACsAA//c/77/sf+w/7H/tv/E/9v/6//p/93/1P/P/8D/ov9//2b/XP9Z/03/L/8F/t/+wP6f/nf+Vf5H/kH+Jv3v/bH9hP1s/Wf9cP2C/ZL9nf2l/aL9hP1Q/ST9Fv0R/Pn80Py0/Lj84f0w/ar+Mf6S/rT+rf6X/nj+TP4p/iD+Iv4L/dL9if1C/Qn88P0G/Tv9X/1b/UX9Mf0E/Jn7/vt0+y77HvsX+wL66frX+sj6tfqd+n76U/oT+cP5bfkY+M34kfhg+Cf32/eH9zz2+fay9nH2UfZY9mH2SPYW9fD11/Wp9U302fRu9BPzu/Ng8vvyhfH58V/wu+/97yDuRe2g7UbtFuzt7MXspeyM7GvsQOwW6/Pr2evN69Pr6ewE7B/sOOxJ7E7sS+w/7CDr5+uh617rG+rH6l7p9OmZ6UTo5eh96BfntedS5uvmh+Yp5c3lbuUS5LvkbuQl497jkuM84uLiiuI14eDhjOE84O3gmeA/3+ffmN9O3wbew96D3j3d7t2e3VjdGNzV3I3cStwQ29rbqNuA22XbU9tH20TbQ9s12w/a3dqt2n/aRdoG2djZyNnG2cbZ2tod2n/axNrK2rPat9ra2uzaz9qf2ovamNqo2qzaq9qp2pfac9pS2kTaNtoH2bzZg9mC2bbZ+Nov2mDan9rv20Hbi9vU3Cvcj9z43Vvdtd4E3kremt8K35ngMOC34TLhreIq4qjjK+O85Fnk/eWj5kDmwuck53Lnqeez55XnhOe36BnoYOho6EToA+ek51nnk+iQ6gLrWOxT7Rftv+407m7upe8W777wcPEQ8aXyNPK58y/zlPPm9DH0i/T49WH1qfXY9g/2Wvap9uz3J/dl96r3+PhR+K/5BvlX+a76FfqG+u77RPuL+9L8Ifx1/MT9Ef1n/c/+Pf6f/vX/S/+oAAsAcwDjAVsB1wJaAuADWAOuA+cEHwRqBMYFJgWKBfgGcAbrB2QH3QhWCNAJRwmyCg8KaQrSC0gLtwwVDHYM7g10DekORA6RDtkPGQ9WD6MQChCJESER1RKSEyYTcBOFE5YTuxPpFCAUeBUEFZ8V9xXQFUsU4xUaFgcXNxgMGFQYYBiXGQAZVhlnGUAZBRjdGPsZehnxGYAXqBUgE2gTaRSjFe0WphcCF1YXmxetF50XlxeYF4cXaBdVF00XNxcTFv8XBBcIFv0W8RbyFvwXBRcSFyEXKBcxF1YXkhe7F7EXkBeFF44XiBduF14XYhdnF2wXkxfIF64XBBYgFbcWIxcLF88YIBgSF9UXgxcuFuUWphZiFhoV3BWhFVEU8BSqFJ4UuhTWFO4VGRVPFXIVcxVsFW0VYxU3FPcUtxRzFBoTzBPRFDwUqRSNE8QSvhINEeER+BH9EdURnBFvEVURSBFEEUMRRhFJEUURKxD6EMAQkhB1EF4QSxBDEEgQUBBPEEIQLBARD/MP2A+9D58Pew9XDzYPFw73DtQOqg55Dj8OAw3NDawNtA3pDisOQQ4EDYsNGgzsDQINJw0bDMEMPQvTC68Lugu6C4sLPQr8Ct0K3QrtCv0K/wruCtEKugqvCqIKegoxCd8Jrgm6CgIKZQq2CsoKkQojCa8JWQkfCOwIvgieCJAIhQh1CGIIUghBCCwIGggIB+sHxAeiB5EHhAdoB0AHHAb/BtoGrQaNBoAGbgZEBg4F6AXbBdcFxgWfBW0FQAUiBQsE7gTNBLgEtwS9BL0EtwS1BLIEpgSRBH0EaQRNBDAEHgQUBAcD9wP0A/8ECQQHBAIEAgP+A/AD4APdA+MD7wQIBD0EfASgBJgEfARsBHkElwS0BMQExAS+BL0EvwTBBMQEzwTaBOAE5gT2BQUFBAUHBT0FqQYJBg4FuwVaBS8FPwVjBW4FUwUkBQoFGgU1BSEE1QSKBHQEhgSMBG8ERgQwBC8ELwQeA/sD1QO5A64DowOMA2sDUQNDAzUDHAL+AuICywKzApsChgJ2AmcCWQJLAjkCIQIGAewB0wG5AZ4BhgFvAVUBNgEVAPQA1QC5AJ8AhgBtAFUAPwAqABL/+v/k/8//tv+b/4P/bf9V/zf/Gf78/uH+wv6g/n3+XP4+/h79+v3S/an9gv1f/Tz9GPzx/Mr8pPx//Fn8M/wJ+9j7o/tw+0L7F/rq+rz6jfpi+jn6Dvng+bL5iflh+TX5AfjI+JD4XPgs9//30Pee92j3NvcM9uj2w/ab9nD2RPYV9en1wfWe9Xn1U/Uu9Qv05fS69JH0bvRM9CPz9/PQ87DzkfNv807zLvML8ubywvKl8ozyb/JQ8jHyE/H08dbxvfGq8Zfxg/Fv8VvxSfE88TLxJPEQ8Pzw7fDi8NfwzPDH8MnwyvDI8MfwyvDP8Nbw3/Dq8PTw/fEH8RTxIPEs8T7xWfF38ZDxpPG78dnx9/IS8i3yS/Jq8ozysPLX8vzzIvNM83vzqfPR8/f0IPRL9HX0nvTJ9Pz1N/Vw9Z/1xfXt9hv2RvZr9o/2u/bt9xz3SPd296X30/f/+DD4Zfia+Mn49vkg+Un5cPma+cf58/oc+kT6bvqV+rr64fsM+zX7Wvt8+577wPvg+/78Hfw7/Fj8e/yl/M788f0Q/TX9Yv2N/bP91v34/hj+M/5Q/nH+kf6u/s3+8P8U/zP/Tf9q/4r/p//C/+IABAAiADcASwBnAIgApQDBAOgBGQFHAWcBfwGgAdAB/gINAewBrQGHAbQCPwL1A4kD0QPhA/MEQATXBYoF/AXgBT8EcgPSA3EDIwLFAlYB6gGWAWkBYwFwAX8BmAHOAg8CJwH3AZIBHgCnACX/l/8N/qb+hP68/zH/k/+h/2n/I/7e/nj97/2L/ZL9/f6Q/xP/Vv8V/i786fvU+zj64fqD+jX6VfsG++z8hvyW/Dj7rfsm+r/6fvpZ+kP6Nfop+gz5zPlq+Pr4kfgw98j3S/a49hj1gPT69Hrz6PM28nHxpvDd8Bzvdu8E7tTu3+8U71zvpu/l8BzwUfB58IPwb/BP8DrwLvAj8BfwC+/278nvhu9F7xHu4+6v7nnuVO5F7kbuT+5g7nTuf+577nTuee6G7pDuj+6J7oPugu6I7pbuqO687s/u6O8I7yrvTO9x75rvxu/w8BjwQvBs8JbwwvDy8SfxX/Ga8djyFvJT8o7yzvMU813zqPP59FD0q/UH9WL1ufYL9lj2ofbv90j3rfgV+G34sPjt+S/5cPmf+b354voZ+lj6jfq9+vD7JvtX+4T7tPvm/Bb8RPx2/Kj80/z7/Sj9Wv2G/az91f4G/jv+a/6Z/sr+//80/2n/nP/N//0ALQBdAIoAtgDkARQBQwFwAZ4BzQH5AiMCUAKDArMC4QMRA0cDegOlA84D/QQpBEkEYgSCBKgEzQTwBRcFPgVcBXYFnAXTBgcGKAY6Bk4GYgZtBnIGfgaYBrYG1Ab0Bx4HSwdvB4cHpAfcCDgIqAkVCXYJ1Ao2CpoK8QszC2ULkwvGDAAMMQxIDEgMUAx6DLoM4wzVDJcMUgwtDDUMYwycDMkM4AzrDPYM/Qz2DOQM1gzaDOwM+gzzDNEMmAxYDBsL5AuyC4cLZAtGCywLFQsECvkK6wrSCrIKlgqHCoIKfQpwCloKQQonCgwJ6wnGCaMJiwmCCYEJeQlbCT0I9AjCCLwI3gkTCUgJdwmbCbAJswmqCZgJgglqCVIJOwkqCSIJIQkeCRYJIwl0ChAKtQsCCtAKUAnWCYgJXAlECUgJawmSCZUJYgkFCJwIPQfwB7UHjQd3B2cHSwcVBtYGpQaGBmgGPQYNBeIFugWKBVcFLAUJBN0EnwRbBB0D4wOhA1gDDgLJAoUCQAIBAc0BnAFiAR0A0wCOAFMAIf/6/9r/vP+f/43/jP+Y/6H/pf+q/7j/yf/R/8//w/+s/4z/Z/9J/zn/Nv81/yv/EP7p/sH+mP5o/jb+Fv4T/hr+Cv3b/Z79Zv06/R/9Hf0w/Uj9W/1p/Wr9TP0R/Nv8xfzF/L/8qvyT/Ir8n/zp/W/+BP5r/pT+pP6x/qj+dv4x/f794f3I/ar9jP1l/S/9Bf0R/VD9jf2d/YP9Svzn/FH7r/tD+yX7Mfs5+y37GvsB+tv6qvp8+lT6Kvn3+bn5dPkm+NX4i/hJ+Af3uvdn9xj2zPZ+9jr2GvYe9if2FfXz9dj1v/WI9SX0rfRB8+fzkPMw8sHyPvGi8PXwPO9x7pvt2u1Q7QDsyOyU7GjsVOxK7DXsCuvT66brk+ub67Pry+vf6/fsGOw47EbsPOwd6+3rsut560XrCOqz6k3p7emZ6UTo5eiC6CLnvudP5t3mduYY5bvlW+UA5KzkXOQO48LjdOMc4r/iY+IO4bvhauEd4NHgfOAg38jfe9803u3ep95j3hndx9153Tbc+Ny13G/cMdv628Lbi9tf20HbKNsW2w/bEdsH2uXatNqG2lbaG9na2a3ZmtmR2Y3Zptn12mjav9rU2r3ardqv2qnaiNpo2mnagdqQ2ofaeNpv2mHaTdpG2lfaZtpJ2f/Ztdmc2bbZ5toW2knai9rb2yrbb9u13A3cedzr3VXdst4G3lLeod8I35DgKeC94ULhvuI34q/jLuO75FnlBOWy5lPm2Oc/55Pnzefa577nrufa6DDoc+iI6H3oVOf/567n1Oi76h/rd+x/7U7t+e5n7pvu1O9Q8AbwvvFY8d/yY/Lk817zy/Qm9Hn01/VG9a71+PYq9mL2p/bu9yz3aPeo9+/4O/iS+O/5RvmX+e36VPrG+zT7jvvY/CD8b/zC/Q39U/2l/gn+cv7Q/yj/iP/xAFsAxQE5AbUCMgKtAycDlAPhBBQETQShBQQFZwXOBkMGxwdLB8gIQQi0CR8JgQnhCkAKoQsGC20L1Aw7DKwNJg2gDg0OcA7HDwgPNg9vD9MQWxDrEYQSOxL8E4ETmRNvE1wTjRPrFFcU0hVfFdIV6hWOFP0UrBT2FdoW9hfWGE8YjRjJGQgZNxlUGWUZUBkIGNoZMRniGe8YeRXrE9cTcxSFFeEWvhcrF4EXyBfjF9wX1hfSF7wXnheOF4YXbBdHFzcXQRdGFzYXKRc1F1IXZhdsF2gXYxdqF5YX3BgOGAQX1Re2F7UXthegF38Xbxd9F6oX6Bf+F6wW+BZXFkUWxxduF88X3RfMF70XrReVF28XPBb9FsUWnBZoFg0VlBUvFP0U7xTqFO8VCxUwFU0VZRWEFaMVpxWKFV0VIRTAFEIT9RQkFLMVHBTgFAAS+hJYEkgSixK9EqMSShHmEZ4RexF2EYURoRG3EbIRjRFTERMQ1xCjEH0QahBnEGwQdBB5EHUQZBBLEDAQFg/3D9UPtg+ZD3YPSg8dDvUOyw6YDmIONA4HDdUNsg26DegOAg3WDXINGAzzDPcM8gy/DGMMBAvKC8ALzwvOC6gLagsyCx8LMgtRC1YLNgsMCwILKAtkC4ULYArwCloJ4QmxCcoKDwppCr4K5Qq3CjwJsQlNCREI4QiuCIkIfQh+CHkIZwhPCDkIJggPB+4HygevB58HjAdvB04HMgcRBuIGtgaoBrYGvAabBloGGQXtBdUFwgWmBX0FUwU0BR0E/gTZBMAEvgTHBMkExATCBMEEtwSjBIsEcQRSBDUEIwQZBAoD9wPtA/ED9gP1A/UD9wPzA+YD4APoA/QD+QQEBCkEWwR8BH4EdARzBIEEmASuBLwEvQS4BLgEvQTCBMkE1QTjBOwE+AUNBR4FFQT/BREFZAXMBfkF0QWABUgFSQVvBY0FfAVDBRQFFQUuBSME5wStBKYEwATFBKIEdwRoBHEEeARoBEUEJgQaBBwEEgPpA64DgQNqA1sDQwMlAwgC7gLTAroCpgKYAosCfAJuAlsCRQIrAhIB+AHfAcYBsAGbAYIBZAFDASEBAgDmAM0AtACcAIQAbQBVADsAJAAP//n/3f+//6T/j/92/1j/Nf8V/vj+2/69/p3+fP5c/jv+GP3x/cj9ov19/Vj9Mf0J/OH8ufyR/Gr8RPwZ++j7tfuF+1v7M/sI+tr6rfqB+lX6KPn7+dD5qvmF+Vr5Kfjy+Lr4hPhS+CX39/fE9433Wvcv9wn24fa09oX2WPYu9gX13/W79Zb1cfVQ9TD1DPTj9Lv0mPR09Er0HPP089Tzt/OZ83rzWfM28xHy7vLS8rjynPJ98mDyQfIj8gfx8fHd8cjxsPGb8YfxdvFo8VzxT/E88SnxG/EP8QTw+fD38Pvw/vD98Pzw/fEB8QbxDfEW8R/xJ/Ey8T/xS/FW8WbxgPGc8bLxw/HZ8fbyFPIw8k3ya/KK8qryzPLy8xfzOvNg847zv/Pt9BX0OPRc9IL0qPTQ9P71M/Vp9Zr1xfXy9iL2T/Z29pz2yPb59yj3VfeC96/32vgE+DL4ZfiY+MX48Pkc+Ub5b/mY+cT57/oY+kH6avqS+rb63fsJ+zb7XvuA+6D7vvvb+/n8Gfw4/Ff8e/yk/Mz87v0Q/Tn9Zf2N/a790f32/hj+NP5Q/m7+iv6j/sH+6P8Q/zH/S/9m/4L/nP+1/9T/9AAPACYARABtAJUAsgDHAOUBEAFAAWoBigGmAcYB8AIcAjACHgH3Ae0CIwKMAvkDPwNaA2sDqwRBBRQFyQYHBb8FNgSxBEED0gNWAtYCYwISAf0CJwJxAroDBQNkA8ED5wO3A0gCvQIbAVUAdf+j/xP+6/8r/57/9wAI/+H/nf8+/rv+NP3m/fL+S/7K/zv/VP7V/c38rPvX+1L63Ppr+lD61/ve/N79VP0a/Gj7nvsJ+r36oPqR+oP6dfpf+iz52/l/+TD47fim+Er31vdK9qn1//VX9LDz/vNB8ofx2/E88KzwOO/x79nv5PAG8DjwcfCo8OHxIvFe8XvxavEy8OjwmfBR8CXwHfAm8Bvv7u+y733vTO8U7tnuqO6H7m/uXu5f7njul+6l7p7uke6Q7p3uqu6u7qjun+6g7q3uwO7S7uHu9O8R7zTvVe93753vx+/v8BfwQvBx8KDwzfD98THxaPGg8dnyFPJR8o7y0PMX82DzqfP19Ef0oPT79VT1q/X/9k72mfbk9zj3mvf/+Fj4nfjd+SL5ZPmV+bj54vob+lr6kvrF+vz7Nftq+5v7zfwB/DL8YvyV/MX88P0W/UL9cv2e/cT96/4Y/kf+dv6o/t3/Ff9M/4L/tP/gAAgAMgBfAIwAtwDjAREBQAFvAaAB0QH+AigCVgKJArkC5AMRA0UDdwOiA8wD/QQuBFUEdASYBMAE5QUGBSgFSAVdBXEFmQXSBgYGJgZFBngGswbXBt8G4gbxBwUHDQcPBxkHNAdXB34HrAfnCC4IgAjbCUEJqgoLCmAKrwr7C0MLggu9C/sMMwxVDF0MYQx7DKgMyAy5DHcMIwvuC/IMKQxzDLAM2Az0DQsNGg0fDR0NHg0nDTYNPQ0wDQQMwAxzDC4L9gvGC5sLdgtYCzwLIgsNCwEK9grhCr4KmwqGCoIKgwp8CmoKUwo3ChcJ8wnQCbIJngmWCZkJlwl7CV4JEwjkCOMJCQk/CXQJnwm5Cb8JuQmwCacJmQmECWwJWQlOCUoJRAk0CR8JJAlmCecKagqjCnkKGAm8CXsJSAkhCRgJNQlbCVwJJQjICGoIIAfqB7sHkgd1B2UHUwcuBvkGxwagBngGRAYJBdMFoQVtBTsFFATzBMYEhgQ9A/kDtQNmAxACwAJ/AkUCCwHSAZoBWgEQAMAAdQA2AAH/1/+6/6b/k/+A/3T/d/+F/5D/kv+S/5r/rP+//8X/tv+R/2H/Nv8Z/wn/A/7//vT+2v61/o3+Y/4y/f/94v3h/er94f3B/ZP9Xf0f/Ov81/zn/Qf9Iv02/Tr9Ifzs/Lf8mPyM/IL8dPxk/FX8WvyU/Q39lv33/jP+bf6m/qv+Y/35/ar9gf1s/WT9bP1w/Vf9Mf0r/U/9c/10/U79BvyQ+/P7Zvsj+yz7SvtR+0P7KvsD+sT6evo6+gn54fm4+Y35V/kM+LD4Uvf997D3Zfcd9tn2kfZC9fv10fXF9b71qvWQ9X71a/U49Nv0afP9857zRPLh8mvx2fEq8GjvnO7P7g3tce0H7MHshexO7CjsGewR6/zr1eui63PrXutv65/r1Ov97BrsMOw77DTsH+v868vrketa6yvq8+qj6kXp6+mZ6UPo5uiL6DHnyOdM5tDmZ+YL5a7lTeTz5KDkTOP446fjVeL74pniPOHo4ZjhS+EC4LbgX+AA36nfYd8e3tfejt5D3fPdn91U3RXc2NyT3E3cFNvi26nbb9tB2yDbAtrn2t3a39rZ2rvaj9pj2jLZ9dm22YrZdNlj2VvZetnU2k7aq9rE2qvajtqA2nfaZNpT2lbaZ9pv2mfaXdpZ2lXaT9pZ2n3aoNqX2lnaCNnS2cbZ3toJ2kLaiNrW2yHbZNuo2/7cbdzl3VTdtN4L3lveqt8I34bgIuDF4Vbh0+JG4rzjPOPM5G/lH+XO5mrm6edP56bn6OgA5/Dn4+gC6Ejoieiv6LronOhK5/3oKOkH6lrrpuyw7YnuNu6e7s7vEe+e8GDxGPGm8hvyj/MJ84Tz+PRb9LP1E/WF9fX2TfaP9sz3Cfc/93H3rPfy+Dz4hfjU+Sz5hvnc+jT6mfsH+3L7z/wc/GT8tP0I/Vb9nP3p/kf+qf8F/2P/zgBEALUBJQGbAhcCjAL7A2oD0QQcBE4EhgTbBUMFrQYcBpkHIgenCCEIlQkCCWIJtgoNCnMK4gtPC7MMEwx5DOkNWg3ADiMOiw7uDzIPXA+dEB0QyxF0Eg4SrxNHE5oThRNFE0EToxQ9FNMVThWsFdsVvhVbFOcUpxTMFVsWMhcfF/UYkxjlGPYY/Rk9Ga8Z7hmzGU4ZZxoNGlAZIRanFFYTkBRjFcUWzRdZF7AX8hgUGBoYFRgKF+8X0xfFF7sXoRd/F3MXfheDF3gXdReOF7QXyBfDF7AXnxekF9EYFRg5GBcXzxepF74X4BfYF60Xlhe7GAkYOBgBF14WqBZeFq8XTxfBF88XqReWF6UXuxe+F6sXihdmF0oXLxb+FqIWLhXEFXMVNhUNFQYVHxU9FVcVehWsFdAV0RXAFbIVjhUoFJkURxR2FPMVQBUFFFMTfxLyEvETbhP9FB4TpRLVEh4RxRHMEhcSdRKsEpcSQhHZEXsRKBDcEKIQhRCAEIgQlhCpELQQpxCHEGcQThA0EBcQAA/pD8EPhg9IDxcO6w66DosOZg46DfYNrw2RDaUNtw2WDVINHQ0NDQQM3AyYDFoMOAwoDBUL+QvZC7cLjAthC1QLeQuzC8ULlQtMCy8LXwu/DAsMAwuOCtYKKwnGCaUJtQn9Cn0K9wsLCqQKFQm9CZgJYwkECKYIfAh+CIMIdghfCEkINAgVB/AHzAeyB50HhwdxB14HRgccBuMGvAbCBucG+wbeBpoGTQYQBegF0QW5BZQFaAVFBS4FFgT1BNsE1ATbBN0E2QTYBNgEzQS1BJgEeARUBDUEIgQYBAsD/APxA+wD6APjA+YD6wPoA94D3wPxBAQECgQOBCQERgReBGYEZgRpBHAEfASKBJcEnASdBKQEsQS+BM4E5AT7BQsFGQUvBUQFPQUdBQsFKwVsBZkFlQVtBUYFPwVdBYIFhQVYBSEFDAUTBQoE5gTMBNgE7wTjBLEEgwR8BJEEogSYBHwEZgRmBG4EYAQsA+cDsQOWA4UDbANOAzIDGAL7AuACywK9Aq4CnAKIAnQCXQJHAjACFwH+AeYB1AHDAa0BkQFvAU0BKwEMAPEA2ADAAKgAkAB3AF4ASAA0AB0AAP/h/8X/rv+U/3X/Uv8v/xD+9P7Y/rr+mf54/lf+NP4N/eX9vv2Z/XP9Sf0f/PX8zPyk/Hz8Vfwp+/j7xvuZ+3H7SPsc+vH6x/qd+nD6QvoX+fL5zvmn+Xv5S/kY+OP4r/h8+E34Hvfr97T3gPdT9yz3AvbS9qH2c/ZK9iL1/PXX9bP1kPVx9VL1MfUL9Ob0w/Sf9Hb0SvQh8//z4fPE86bzhfNh8zvzGfL78uDyxPKn8ovybfJQ8jfyI/IP8ffx3vHI8bXxo/GR8YPxdvFm8VfxS/FB8TbxLPEp8S3xMfEx8TDxMvE08TfxPfFF8U7xVfFf8W7xffGJ8ZjxrvHF8djx6PH+8hryN/JR8m3yjfKt8sry6PML8y7zUPN086Dz0vQD9C70U/R29Jz0xPTt9Rb1QvVy9aH1zvX79ir2V/Z+9qX2z/b89yr3V/eG97P33fgG+DX4aPiZ+MT47vka+UX5bvmX+cL56/oS+jn6YvqL+rP63vsM+zr7YfuD+6H7vfvY+/T8Evwx/FP8e/yl/Mz87f0R/Tv9Z/2K/aj9yf3u/g/+K/5J/mr+if6j/r/+4P8C/yH/Pv9e/3//nP+2/9H/7AACABoAPQBqAJQAtADPAOsBCgEvAVsBiwG0AdAB8AIdAk0CYQJRAjcCNgJYAo0CvQLYAuoDHgOcBF8FIwWgBcYFtQWFBTMEvwQ/A8QDVwMGAvIDJgOBA9oELgSNBOsFHgUUBNYEZwO1ArYBjQB+/87/nf/VADAAaQBoAED/9/+C/vL+gf5e/oL+0v85/5D/hf7e/cr8vPv2+1363vq4+zj8Rf1V/eP9wP0X/Dn7e/sR+vr7Avr8+uL6wfqb+mH6FfnL+Y35T/j++Jn4KPeq9xn2dvXN9SP0efPQ8zTyq/Ix8cXxbvE38RzxFPEg8ULxcfGh8c7yA/I68lryTfIT8bbxQPDE8GLwN/A48EDwMPAN7+bvve+H70fvDO7d7rTuke6J7qru4u8I7v/u1u607q7uvO7J7sruxO7D7s7u4e707wPvE+8q70XvYe9+76Dvx+/v8BfwQvBz8KXw1/EK8ULxe/Gx8eXyGvJT8o/yzvMR81fznPPk9DP0jPTo9T/1kvXl9jf2hvbT9yb3g/fi+Df4f/jH+RT5XvmV+b756fof+lr6kPrF+v77OPtu+6D70/wG/Dj8bPyi/NX9Af0r/Vn9iv23/eD+Cf4y/lz+hv63/u7/Jf9b/5H/xf/wABQAOgBoAJgAwwDsARYBQQFwAaMB1wIGAjMCZAKZAsoC8QMZA0cDdwOiA8sD/AQtBFYEewSiBMwE7wUOBS4FSwVfBXQFngXXBgYGIwZKBpUG7gcnBzUHOgdPB2UHYQdCByUHIgdAB3cHuQf4CCcIUgiQCPEJYQnACgMKOwp8CsgLFQthC7YMDgxVDHgMfgyBDJIMogyRDE8L9wu9C8UMBgxZDJ8M0gz5DRYNKw07DUsNXA1qDXYNeQ1qDToM7QyWDEoMDgvbC6oLgQthC0gLMAsaCwwLAwrwCssKogqJCoYKjAqLCoAKawpMCiQJ+gnXCb0JqQmjCasJsgmbCXsJOQkVCRcJNQliCZYJwwnXCc8Jvgm1CbUJsQmiCY8JhAmCCX4JawlJCSoJJwlOCZMJ0wnvCeMJxQmlCX0JRQkJCOQI5AjwCOMIsghuCDQIDwfyB8oHmgd2B24HdAdpB0IHDgbfBq8GcQYkBdkFlgVaBScFAATfBLQEcgQkA9IDewMbArgCYwInAfkBzwGfAWUBHgDQAIYARwAR/+P/v/+p/53/kP9+/2//a/9x/3n/f/+E/5D/o/+5/8D/rP9//0v/H/7+/uP+z/7D/rX+mv5y/kr+Jv4B/dv9wf25/bb9rP2b/YT9Wf0U/Mr8ofym/MT84/z8/Qn8/PzZ/K78ifxo/En8Mvwi/BL8C/ww/Iv89f1G/ZP9//5s/ob+M/25/Wj9SP05/S/9O/1R/VT9R/1B/UX9N/0L/NL8kPws+6j7N/sM+x77NPsv+xn6+vrG+nb6HvnZ+ar5ivlw+Vb5K/jg+Hz4Ffe592X3GvbZ9p/2YPYV9c/1n/WE9Wr1SPUp9RX1APTR9ID0GfOw80/y8vKJ8gPxVvCL77Tu4+4j7YPtDOy67HjsPOwP6/fr6uvZ68DrpOuD61vrPetJ64nr4Owl7ETsPewf6/zr5OvR667rdus96xHq5eqi6krp7umZ6UHo5+iS6Dvnz+dO5s7mZeYK5anlReTn5JLkPOPj447jOeLc4njiGuHH4XrhL+Dl4JfgPd/d34nfRt8I3sPedt4l3dHdfN0z3PbcuNxw3Cnb89vD24vbUNsi2v/a3dq+2rLat9q02practpH2hPZ1NmZ2XPZW9lE2TrZWtmx2h/actqP2oLaZ9pW2k7aRdo62jLaMNow2jHaO9pM2lzaZtp52qXa1drk2rzabtoe2ezZ5doI2kbajtrX2x/bZdus3AHca9zi3VLdtN4O3mPes98J34HgIODO4Wnh5uJV4srjT+Po5JPlROXs5nvm7+dT567n9+gc6B7oGugy6GnoqOjZ6Ojowuhv6Dnohelx6rLr4+zk7cDube7O7wDvUu/y8Lzxa/Hq8lHyu/Mw8630J/SP9On1SfW89jX2nfby9zr3cfeY97v38fg7+In40PkY+Wn5wvoe+nz63ftB+6X8AvxU/KD88v1K/Z795/4v/oL+3v89/6QAGwCYAQ8BgAHzAmgC0wM5A6QECwRZBI0ExAUaBYgF+gZuBusHcAfvCGUI1Qk/CZ0J8ApKCrYLMAukDAgMYwzDDSwNkA3mDjsOng8FD1QPjw/mEIIRTRINEqMTExNcE2gTPxMjE1sT7hShFTMVjBW0FbYVlxVcFRQU0RSuFNAVXRZbF5QYlxkJGPgY4Rk8GfgahBpuGf0Z4xpVGpEZlhdUFPMT0RRHFZYWyxeCF+EYGxhAGFAYTxg+GCIYBhf1F+kX0xe7F7MXuhfCF8YX1BfxGAwYFBgJF/MX4RflGA8YShhZGBwXwxelF9gYFRgTF+IX1xgbGG0YXhfCFuQWUhZnFwUXrhf5F98XqhebF7IXyxfOF8UXvRe7F7UXnhdpFxsWwhZoFgkVqxVrFWAVdxWJFZMVsBXfFfoV7xXhFesV5hWaFR8U0RThFSEVSBU3FOcUXBPPE7YUVxVLFboVKhPuEsYSPBJhEvoTpRP/E80TLhJ4EeURdxEcENsQvBC2ELoQyRDkEPQQ5RDAEJ8QixB4EGAQSRAwEAIPvQ94D0cPHw7yDsUOnw5vDiEN0A2oDbINuw2eDW0NUw1SDUANBQy/DJ8MpgyjDG4MGgvZC7oLnwt1C1wLfAvFC+0LxQtsCykLLwt7C9cL+guvCw4KZwn2CbgJmwm7CioKpwrGCngKJgooCk8KJwmUCO4IkQiACIYIgQhxCF8IRgghB/kH1Qe3B54Higd/B3YHWgcgBt4GuwbNBvUHAwbiBqUGZgYxBggF6wXRBa4FgQVcBUcFNgUeBQYE/AT7BPkE9QT0BPAE4gTHBKYEggReBD4EKAQaBA0EAAP3A+4D4QPXA9kD4gPjA94D4wP3BA0EFgQcBCwEQgRTBFoEWwRaBFcEWQRnBHgEgwSMBJoEqgS6BMsE5gUDBRYFJAU6BVIFVwU/BSMFGQUjBTMFRAVPBUwFQAVABVUFaAVeBT8FJwUbBQkE8QTpBPoFBQTpBLIEiASDBJQEnwSWBIAEcQRwBHQEZQQ4BAED2QPDA64DkQNzA1sDRAMoAwwC9gLkAtECugKhAokCcwJgAk4COAIfAgoB+QHpAdMBtwGXAXUBUgEwARMA+QDfAMUAqwCSAHsAZgBSADsAIQAE/+j/zv+y/5P/cf9P/y3/D/7x/tP+s/6S/nL+T/4n/f792P20/Y39Y/03/Q384/y5/JH8afw9/Az73Pux+4f7W/sv+wf64vq5+o36X/o3+hX58vnL+Z75bfk8+Qr42Pim+Hb4RvgU9973qvd690/3JPb29sb2mPZt9kP2GvX09dH1sfWS9XL1UvUx9Q/07vTL9KX0fPRT9C70DPPu89HzsfON82jzRfMm8wny7fLR8rXyl/J68mPyUfI+8iXyDPH38eTxz/G78arxnfGS8YbxffF08WrxYfFd8WDxYvFh8WLxZPFm8Wnxb/F58YLxh/GP8Z3xrPG58cjx2/Hu8f7yD/In8kPyXPJz8o/yr/LP8urzA/Mg80DzYvOI87Lz4fQQ9D30ZPSJ9K/01/T/9Sb1TvV79ar12PYF9jL2XfaG9q321fcA9yv3WPeH97b34PgJ+Df4a/ic+Mf48Pkb+UX5bfmW+cD56PoN+jP6XPqH+rP64fsQ+zz7YPuB+6D7vvvZ+/P8Dvws/FH8ffyp/M787v0Q/Tn9Yv2C/aD9wf3l/gT+Hv48/mD+hP6j/sD+3f73/xH/L/9T/3f/l/+2/9L/6wABAB0AQQBlAIQAowDJAO4BCwEkAUsBggG4Ad0B+QIeAk0CcQJ9AnkCdAJ3AoUCmAKpAr0C7QNVA/EElQUaBX8FzwX4Bd4FjAUuBN0EkgRPBDAERwR6BKkE0wUIBUUFfQWoBboFiQTsA+YCsQGbAN0AlQCtAOQA+gDfAKAAO/+t/yH+2v7o/xn/T/+Z/+n/4f83/hr9B/w3+5/7XPvH/Oz+NP7W/ov9qPyw++/7fvtc+237f/tt+z77Cvrb+qj6bPou+e35nvk9+Nf4c/gM95L3AfZj9cT1KfSZ9BzzsvNU8vzysfJ58lXyP/I+8lfyf/Kk8r/y2fL28wby+vLO8oHyD/F98O7wjfBo8GXwZPBa8ErwLe/777rve+9I7xru8O7f7wHvSu+F74bvT+8M7uPu2e7a7tzu3O7e7uju+u8R7ybvN+9H71rvcO+H76Pvxe/s8BXwQfBz8Kbw2vER8U3xi/HD8fXyKPJd8pXyzvML80rzifPM9Bv0dfTR9Sb1dfXG9hn2bPa79w33Zve9+A34Wfis+QX5WPmY+cb58/ol+lv6jvrC+vj7L/tk+5n7zvwC/Db8bfyl/Nn9Cf04/Wv9n/3O/fj+I/5M/nH+mP7H/vv/L/9h/5b/zP/5AB4ARQB1AKgA1QD8ASEBSAF0AagB3QIOAjwCbwKlAtQC+AMbA0gDeAOkA84D/QQsBFMEdwSgBMsE7gULBSoFSQViBX8FrAXkBg4GJgZMBpkG8wcuB0QHWQeHB7UHugeQB1sHQgdYB5QH3wgZCC4IMQhLCJgJAQlYCYcJpQnSChUKZAq+Cy0LsgwxDIYMowyeDJsMnQyHDEAL3gueC6cL7gxGDI4MxAzvDRMNMQ1PDW0Nhg2YDaYNrw2jDXENGwy7DGcMJAvrC7ULigtuC1wLSQs0CyMLFQr9CtUKqAqMCooKkgqXCpUKhwpmCjcKCgnpCdAJuQmvCboJxwm1CZQJZAlTCVoJagmHCbYJ5wn5CegJzgnECckJyAm8CbAJsAm3Ca8JjQlcCTwJOglKCVYJVwlcCXQJmQmtCZYJUwj/CLoIkwh/CGoITQguCBkIDQf8B9cHpQeEB4kHpAeoB34HPAcBBtEGlgZFBewFmwVXBSAE9gTWBK4EbgQXA7UDTgLlAn8CKQHsAcQBpAF9AUYBAQC8AIIAUgAj//P/zf+2/6n/m/+I/3b/aP9h/2L/av95/4v/nv+r/6f/if9c/zH/EP7w/sn+pv6Q/n3+X/40/g398v3c/cT9rf2a/Yj9d/1u/Wj9Sv0I/Lf8gPxy/ID8l/yy/Mj8zfy9/KP8f/xO/Bv7+Pvm+9L7vvvN/A38V/yR/N79Zv37/jj9+/2U/Vv9Uf1E/Sb9E/0W/SH9Lv07/TP8+vyf/FT8Jvvr+4r7J/r0+u366frX+sP6qPpv+hP5s/lw+Uv5OPku+R/49vio+EX35veR9z/28Pas9nH2MPXo9an1gPVh9Tz1EPTp9Mv0qvR09CTzwvNc8v7yovI08Zfwx+/d7v3uOO2T7RPstuxu7Cvr8uvT68vrv+uj64frfety61DrJ+sp623r1Owl7DvsG+vh67Hroeuh647rWesf6vjq2uqk6k/p8OmX6UDo6OiS6Drn0OdT5tfmbuYQ5azlQ+Th5IfkLePS43vjI+LC4l3h/uGs4V7hEeDE4HTgGd+8323fMN703q3eXd4K3bTdXt0U3NfcmNxP3Arb1Nuk22vbMdsE2uHavdqd2pPamtqa2oPaXtox2fjZtdl/2WDZSNku2SLZQNmE2dPaE9o92k7aR9oy2h7aD9n/2ezZ29nS2dfZ89oh2lDacdqP2rza9NsY2wvay9py2iPaANoT2k7altra2yDbadu13AfcadzZ3Undr94M3mPetN8K34DgIeDW4XXh8eJd4tTjYeQD5LTlYuX85nzm6udR57LoAugy6EboUehn6JLozOj86QLoyuh36GXo5ent6x3sLO0W7evuke7s7yTvjPBC8RDxsvIi8oHy6/Nk8+X0YfTK9ST1gvX09m/24PdA95H3yvfr+Ab4Nfh++M75GPlc+ab5+/pY+rn7F/ty+878LfyI/Nv9L/2K/eL+LP5s/rX/D/94/+wAagDqAV8BygIzAp0DBANsA9oEQwSSBMsFCgVoBd4GUgbABzAHqQgkCJoJCglyCdIKMQqYCwoLgQvxDFMMrQ0KDW4NzA4XDloOqQ8GD2IPvhA6EO8RyRKRExgTThNBExQS/hMtE6cUSBTcFUIVdRWGFYwVjxWEFVkVERTQFMsVPxZGF6kY3RllGVEZNhmYGl8a9RrwGokaURp9Go8ZwxfgFaQUOhREFWYWuxejGBEYRxhuGIcYiBh2GF0YQxgsGBgYBxf6F/MX8xf9GBMYLhhCGEoYSBhDGDkYKxgvGFkYkRiZGFIX9hfeGBYYTRg+GBUYKxiFGLEYQBdRFnsWRxa+F3gX/xgiGAIX2hfSF98X5BfaF9IX3BfzF/4X7RfCF44XWBcTFrQWShYBFe8V+xX9FfwWFhZGFloWPhYcFh0WIxX9FbYVgxV1FXQVghWtFcgVeBTHFGEU4hX1Fo0V+hSVE0wSxBMME9MUoxUGFLoT6BL6Ej4RvBFkETQRJxEmESQRKBE4ET0RIxD2ENcQzBC/EKcQihBqEDcP8g+0D4wPaQ89DwwO4A6qDmEOHg4JDhoOIA37DcYNrA2lDYgNQwz7DOAM6AzXDIgMHQvWC8ILsguCC1ELVAuKC7QLngtPCvkKzwrqCzsLgAtyCwoKiQopCegJuAmxCekKJgoaCd4J5ApcCtcKwAoNCToIugiVCJQIkgiJCHcIWAgyCA0H7AfLB64HngebB5EHZwcdBtYGuwbPBuoG4ga2BoMGXwZCBiIGAQXiBcEFmwV7BWcFWQVIBTUFKAUhBRkFEgUOBQgE+ATbBLgElARyBFYEPQQnBBAEAAP4A/AD4wPWA9UD3gPkA+cD8AQBBBIEHAQmBDUERQROBFIEUwRQBE0EUwRlBHsEiwSYBKYEsgS5BMME2QTzBQYFFQUrBUQFUAVLBTsFJAUIBP0FHgVeBYYFdAVHBTIFRAVdBWUFWwVHBSoFDgUEBQwFDQT4BNgExAS/BLgEpwSOBHcEZwRfBFoESwQwBBMD/wPvA9YDtAOVA38DbANUAzoDJAMQAvkC4ALEAqgCkQKAAnECXwJHAjECHgIMAfQB2QG+AaABfwFdAT8BJAEHAOkAzACyAJsAhABuAFgAQAAmAAv/7//R/7P/k/9y/07/LP8L/ur+yv6r/oz+af5C/hj98/3Q/ar9gP1U/Sn8/vzS/Kj8f/xT/CX7+PvN+6H7c/tG+yH6//ra+q76gvpb+jn6F/nw+cT5kvlf+S34/PjM+J34bfg9+Ar31vek93b3Sfcd9vD2w/aW9mj2O/YS9fH10/Wz9ZH1cPVS9TP1FPTz9ND0qvSC9Fr0N/QY8/zz3vO985rzePNW8zjzG/MA8uPyxPKm8o7yffJq8lPyOvIl8hHx/PHo8dfxzPHC8bnxsPGn8Z3xlvGT8ZPxk/GT8ZTxl/GZ8ZzxpPGv8bfxuvG/8cjx1fHi8fDyAvIT8iLyNPJM8mfyfvKU8q7yzvLu8wfzHvM281TzePOh88rz8fQZ9ET0bvST9LX02PT+9SX1TvV79az13PYJ9jT2X/aK9rT23vcH9y73WPeG97X34PgJ+Db4aPia+Mb48Pka+UL5avmU+b/55/oN+jT6X/qL+rj65vsT+zv7Xft9+577vvvb+/b8Efwv/FP8fvyp/M/87/0Q/TT9WP13/Zb9uv3d/fv+Fv4z/lT+df6W/rf+1/7x/wz/Kv9L/2v/if+o/8f/4v//ACIARwBkAHYAjwC5AOkBDAEjAUIBcgGpAdYB+QIbAj8CYgKBAp8CtwLFAsoCzgLVAucDFwNzA+4EZATGBScFkQXjBfYF1gWxBZ4FigVmBUMFLwUhBREFBgUOBSkFXAWrBfgF+wWEBK4DugLYAiABrAGHAY8BiwFgAQoAhP/c/1r/Qf95/6n/vP/zAFcAb//J/pf9dPy9/HL8pv2B/sj/sf+Q/n79MfxD+9H7sfu7+9H70/u0+337RvsX+uz6wPqK+kP57fmQ+Tj45fiK+Bz3mvcK9nT15PVi9Pf0oPRS9AjzxfOT83HzWvNQ81nzb/OB84nzjPOP84zzffNg8y/y1/JS8bnxOPDq8MfwufCz8K3wm/By8Dfv/u/O76LvdO9Z73Dvtu/+8BPv5u+a71TvIu8A7uvu5O7l7uzu/e8Y7zbvSu9Y72nvfu+U76jvwe/j8AzwO/Bu8KTw2vEU8VLxk/HP8gXyOPJs8qHy1/MP80rzg/O/9Aj0X/S39Qb1T/Wc9fD2RPaV9uj3PveT9+P4NviR+PH5SPmL+b/58vop+mH6lvrJ+vn7Kftb+5H7yvwB/Db8bfyk/Nf9B/07/XP9qf3Y/gP+Mf5e/of+rv7c/w7/Pv9r/53/0wAEAC4AWACJALsA6QERATUBWwGFAbcB6wIbAkgCdgKoAtQC9wMaA0YDeAOnA9QEAwQvBFQEdwSfBMoE7gUKBSgFSwVtBY8FvAXvBhYGLQZNBooG0AcABxgHPAeBB8kH5AfKB5kHfQeJB7sH+ggnCCwIGQgcCFMIqgjzCRQJIwlBCXkJwAoSCoMLIAvTDGgMuAzNDM0MzAyvDFoL5QuTC5YL3Qw2DH0MsAzbDQUNMA1bDYINnA2uDcMN1A3MDZUNOQzTDHkMMAvzC8ELnQuIC3wLbQtWCz8LKAsJCtsKqwqNCooKlgqjCqwKpQqEClIKJQoKCfIJ1QnDCcoJ1wnGCbMJkgmTCaAJpQmwCdUKAwoUCgAJ5gneCeIJ3gnPCcUJzAnYCc4Jpgl2CV0JYgllCUsJIwkbCUoJkAm3CaAJUwjyCJoIWgg0CCUIIQgeCBYICwf4B9YHrgeXB6QHwAe+B4MHLQbnBr0GkgZPBfkFpAVbBR8E8wTTBK8EcQQVA6sDQQLeAoECLQHrAb8BoAF/AU4BEADVAKcAfQBKABH/4f/A/6z/nP+Q/4T/dP9f/07/S/9X/2j/df91/2H/Ov8Q/vT+5P7O/qj+gf5k/kv+KP3+/d39y/2//a79mP2B/Wj9Uv1I/UP9Kvzw/Kv8dvxa/Ez8Tfxf/Hv8jfyQ/IX8aPwz+/n71fvE+6f7gvt9+6v75fwM/EP8vv1c/bj9qv1z/V79Z/1Z/Sj88/zX/Nn89P0V/Qv8ufxG+/377vvc+5T7Lfrd+rD6j/p1+mf6U/oY+bP5TvkN+PD45/jl+Nf4qvhZ9/z3q/dk9xX2wPZy9iz15PWe9Wv1T/U59RX06PTA9Jv0afQi88jzYvL+8qPySvHW8STwOe9B7mntvO0y7MTsbewl6+Xrtuum66TrlOtx61nrW+tb6znrC+sK61HruOv/7Ajr4euo63/rdOt462jrN+sA6t7qxuqW6kTp6OmU6UHo5+iL6C/nyudY5uPmeeYW5a/lROTg5ILkI+PE42njDuKs4kXh5uGQ4UDg8eCk4FTf+9+i31rfIN7i3pfeQ93w3ZrdRdz63Lrcetwz2/HbvduL21DbFtrr2sraptqG2n3ahdqE2m7aStob2d3Zmdln2UzZM9kW2QnZINlK2XLZn9nc2hfaLdoW2evZyNmy2Z7ZiNlz2W3Zi9nR2iTaZNqP2r3a+Nsp2zPbDdrC2m3aMdot2lzaodrl2yjbcNu83AncX9zH3Tndpt4G3l3ert8I34HgJODY4Xbh7+Ja4tTjaOQT5Mblb+X+5nPm3+dN57joEOhN6HXoj+ik6MHo7ukZ6Rbo0eh/6IzpOupb64LsdO1G7g3uqe8B70fvyvCW8WPx9vJX8rXzJvOl9Cj0ovUI9V71u/Yt9qn3G/d999L4FPg7+Ff4gvjF+RL5XPmh+ej6NfqN+u37S/uj+/z8Xfy//Rr9b/3K/iL+av6n/uz/S/+/ADwAuwE0AaECAgJfAsEDLAOeBBIEeQTHBQkFWgXHBkIGsQcQB24H2ghWCNEJPgmeCf4KbArkC1oLxgwrDI0M7Q1MDawOAQ5BDm8Oow7vD1YP2xCEEVESLRLtE14TZxMiEuIS+BNwFAwUjhTjFRwVRRVnFYwVrhWyFYsVXhVeFacWQBcyGGIZcBn3GgMaDxp6GxUbahtEGtwahhphGjUZkxgvFkcUuBRdFUYWrxfBGEIYeBilGMUYyBi2GKUYkRhyGFMYQxg+GDcYMBg7GFoYdhh+GHgYeRiCGIEYcxh0GKEY3RjmGKIYShgwGFkYfBhvGGkYqBj7GNIX8hbaFlAWoBdoGBEYVhhTGDoYKBghGBwYDBfwF9sX3hf1GAcYBxf6F+oX0hegF0sW6BabFnkWcRZvFnwWrBbqFv8W0RaMFmIWVRZKFjwWMRYaFfYV/xZfFsIWjBWoFN4U9RW9FjMVrBR7E3cTKBOFFD8U8xU7FOYUHRM+EogSCBG8EacRtxHDEbwRthG7EbARfxE/ERYRDBECEOsQzBCpEHUQNA//D90Pvg+RD1wPKQ7wDq4Ofw5+DpgOmA5nDiQN9g3bDa4NYg0WDOsM2gy3DGoMEgvgC9gLzAuZC1wLQgtQC18LTgsfCuAKqQqdCtILIAs8CwkKrgpdChoJ4AnGCdIJ0gmZCWYJpQpYCugKygoRCUgI1AivCKkIqAijCI8IawhGCCoIDAfnB8UHuAe3B6YHbwcfBtwGxwbZBuUGyQaRBmQGUwZLBjYGEgXuBc8FswWbBYgFeAVnBVgFTQVCBTYFKwUlBSAFEQT1BNIErgSRBHkEYAQ+BBoEAAP2A/MD6gPdA9gD3gPnA/ED/gQLBBYEHwQsBDsERARGBEYESQRMBFQEZQR/BJYEpgSyBLwEvgS7BL4EzwTkBPMFAwUaBTAFOwU+BUAFMgUNBPkFKgWQBdgFwwVyBTYFOQVgBX4FgQVuBU0FLgUeBRsFGgUaBSQFMwUxBRAE3QSyBJUEgQRwBGMEVgRGBDgELQQcA/4D2AO5A6MDkQN8A2YDUwM/AycDDQLxAtUCugKnApcChQJtAlUCQQIrAhQB/AHoAdEBtAGUAXYBWgE9AR0A/QDfAMMApwCNAHQAXABDACgADP/w/9P/tf+U/3D/TP8p/wf+5v7I/qn+h/5g/jf+E/3v/cj9n/10/Un9HPzu/MH8l/xr/D/8FPvq+777j/tj+z/7Hvr7+tH6pvp++lv6OPoT+er5uvmG+VH5Hvjv+MD4kvhk+Db4BPfQ9573cPdE9xn27vbB9pD2X/Yz9hH18/XU9bH1kfVz9Vb1OPUY9Pf01PSu9In0Z/RJ9C30D/Px89LzsvOQ827zUPM18xfy9/LY8r/yrPKZ8oHyafJT8j/yLPIa8gzyAfH38e3x4/Ha8dDxyfHH8cjxyPHH8cnxzPHN8c7x1PHe8ebx6PHq8fHx+vIF8hTyJvI38kbyVvJs8oTym/Kw8sry6PMG8yHzOvNT83DzlPO+8+X0BvQo9FH0fPSg9L703PT/9Sf1UfV+9a713vYJ9jL2XfaJ9rf24/cL9y73VPd/96732/gF+DD4YPiR+L/46vkU+T35Z/mT+b/56PoQ+jr6Z/qU+sD67PsV+zr7W/t8+5z7vPvb+/n8F/w2/Fb8fPyk/Mv87v0Q/TH9UP1t/Yz9r/3R/fD+D/4u/kn+Yf5+/qL+x/7n/wb/J/9H/2D/ef+X/7X/0f/wABcAQQBgAHIAiACtANwBBAEiAUABZQGRAb4B6QIPAi0CSgJxAqQC2AL+AxQDIAMoAzgDYQOwBBMEaQSmBOIFLgV3BZ4FqQW5BdUF6gXlBcoFnwVoBTIFEgUPBSEFUQWoBf8GCgWuBR8ElQQLA2cCxQJaAi0CFAHmAY0A+wBH/87/0gAdADoAJQBMAM8BEABy/yv+C/2f/dX+bv88/+3/+f8j/dD8r/wa+/T7+Pv++/z77PvO+6f7evtL+yD6+/rO+pD6Rfn8+bf5Z/kG+Jf4H/eh9xz2mvYk9cH1cfUp9Ob0rfSG9G70WfRA9Cz0IvQd9Bj0EfQI8/vz5vPN86nzavMG8ovyFPG18XDxQ/Eq8R7xD/Dv8MHwkPBk8DjwCu/q7/LwKPBs8I7wevA/7/Pvo+9V7xju8+7j7uLu7+8N7y/vR+9X72zviO+g763vvO/W7/zwK/Bf8Jnw1PEQ8U7xkPHQ8gryQfJ48q7y5PMd81bzjPPD9AT0UPSd9OD1IPVn9bn2DfZg9rX3Dvdn9774Gfh4+NX5JPll+aD53/ol+mr6qvrf+wz7Nftk+5v71fwL/D/8c/yq/N39Df1A/Xj9rf3b/gj+Ov5v/p/+y/74/yf/U/98/6n/3QASAEMAcQCiANMBAgEvAVsBhQGuAdsCCgI1AlwChQKwAtkC/AMgA0wDfAOqA9YEBQQxBFYEdwSeBMgE6wUHBScFUAV6BaEFyQXzBhcGMgZUBocGvQbhBvYHGQdYB50HxQfDB6wHmgefB70H5ggHCA0IAggGCDEIdgivCMoI2gj6CS0JZAmbCe8KggtNDBkMqAzrDQINBgznDIkMBQuiC5UL0wwqDHAMoQzKDPcNKw1gDYgNnw2xDckN3Q3RDZYNPQzdDIUMOAv7C9ILugusC58LjAtxC1MLNQsRCuEKsAqTCo8KngqyCsMKwQqgCm4KRwo0Ch4J+QneCeMJ8AngCeMJxAnKCdkJ1wnXCfAKEwofChAJ/wn8Cf0J8wngCdYJ2wnjCdsJvQmcCY8JlAmLCV0JJAkTCTwJegmUCXQJKQjQCHwIPAgaCBcIIggjCBIH+AfgB8kHsAefB6EHqweYB1QG+Qa0BpEGcwZBBfkFrwVqBS0E+wTUBKsEbQQUA64DTwL6AqkCWQISAd4BvQGdAXEBOQEEANcAqABtACn/7v/C/6T/lf+V/5n/j/9w/0f/Kv8g/yT/Jv8b/v3+0f6o/pL+i/5//mb+Sf4w/hP97v3M/bf9rf2h/Y79ev1o/VL9O/0q/Rr8/vzR/KP8fvxa/DL8FvwY/DH8SvxY/Fn8Q/wQ+9n7u/uu+437V/tC+2n7pPvC+9z8Lvy0/R39O/00/T39Uf1G/RL81fyt/Kf8wPzd/Mn8b/wE+9f76/vw+6v7NfrN+oX6T/om+g758fmt+UP43fig+In4gfh7+Gf4Nvfq95r3WPcX9sT2ZvYO9cH1d/U59RX1B/T39Nb0rvSK9GP0J/PQ82rzAfKe8kPx5/Fm8KTvr+697fvtaOzt7H7sI+ve663rkeuJ64Pra+tF6y/rMOsn6v7q1ern6z7roOvS68zrrOuI62zrWutP6zrrEOri6sLqp+p36ivp2OmN6UDo5OiA6B/nvudV5ufmfuYZ5bHlSOTi5IDkHOO441fi+eKX4jHhz+F14SLg1OCK4D3f5t+P30jfDd7L3nveJt3V3YTdM9zp3KfcY9wc29zbqNt02zja/9rX2rjaldp32m7ac9pv2ljaNdoG2cTZgdlT2TrZHtj+2PDY/9kQ2RbZMtmA2eDaFNoA2cjZlNl02V/ZR9kn2Q7ZItl32ezaTNqG2rba7tsi2zrbMNsG2sHaeNpU2m/astr42zXbdNu52//cS9ys3SDdlt383lTep98F34PgJuDV4W7h5OJP4s3jaOQY5MzlceX55mrm2edQ58boKeh46LXo3+jx6PrpE+k16TDo6OiU6KnpZ+qV673sq+117jHuxO8g73vwGfDz8bjyN/KK8ufzX/Pk9Gf03PU79Yv16fZi9uX3W/e9+BT4XfiP+LP43fkV+Vb5m/nj+iz6d/rJ+yf7h/vh/Dn8mfz9/Vr9sf4K/mP+r/7v/zn/nQAWAJMBBwFyAdQCLAKCAuMDVgPVBE0ErgT6BUYFqQYiBpwHAwdYB64IGAiXCRQJeQnJCiQKmgsdC5ML9wxaDMcNMQ2ODdsOGg5IDmwOlQ7aD0wP8hDBEaMSfBMsE4oTfhMtEvwTOxPSFGEUrhTSFP4VOhV7FbcV2xXOFaYVuxZKFyYX+hiwGWgaFhqFGr0bChuLG/Mb8RuSGxkaoBoiGawZLBhGFsMVLBSDFToWrxfiGHIYrRjkGQwZCxj2GOwY4Bi/GJcYhRiGGIQYfxiLGKkYvRi5GLEYuBjDGLkYpxiwGOIZExkGGLYYYhhNGHQYoBi7GO4ZSRlsGNoXpBaVFnEXLxgZGJQYnRiEGHcYcBhkGFUYPhgaF/MX3BfdF+gX9RgGGBUYEhfwF7EXYxcWFtsWvBbAFuwXOBeCF5cXYxcIFrsWlRaRFqIWsRafFnsWjRb9F24XOxZGFT0U3hUXFTUUwBP2E2cTWRO3FEUUuRTQFHgT4xNQEtQSaxIoEiMSRRJZElMSVhJpEmASGBGxEWgRTBE/ESwRExDyEL8QgBBLECoQDQ/jD7MPfw9BDv0O0Q7QDuIO1g6eDlcOHg3wDbUNZw0ZDOEMugyODFUMHgwBC/gL4guzC4ELYQtOCzcLIAsQCvoK0wq0CsUK/QsnCx0K6wqnClgKDgnrCe0J2wmWCWMJngovCooKTQmqCRgIzgi3CLIItgi3CKYIhAhlCE0ILAf9B9cHzAfMB7cHfwc1BvoG4wbpBuoGygaSBmYGWAZXBkcGJAX8Bd0FyAW2BaQFkQV/BXEFZQVZBUkFPQU4BTQFKgUUBPUE1gS8BKYEiwRiBDAECwP9A/sD9APnA98D3wPnA/QEAwQPBBgEIQQwBD4EQgQ+BDwEQARJBFsEdwSVBKsEuQTFBM0EyQS/BMIE1QTnBPEFAAUXBScFKAUqBTUFNgUbBQsFPgWpBfUF4gWQBVQFVAVzBYgFhgV1BV4FSQU8BTMFLgU3BVkFgAWFBVsFHQTuBNQEwASrBJkEiwR8BG4EXQRHBCUEAAPhA8oDtgOiA5IDggNvA1YDPAMiAwUC5wLOArsCpwKOAnUCYAJLAjUCIQISAgEB5wHJAawBkgF2AVYBNQEUAPIA0QCxAJQAeABcAEAAJgAM//D/1P+0/5P/cv9Q/y7/Df7t/s3+qf6C/lv+Nf4O/eb9vP2S/Wj9Ov0L/N38sfyG/Fr8MfwJ+9/7svuH+2D7PfsZ+vD6xvqe+nf6U/ow+gz54fmv+Xn5RPkT+OP4tviM+GL4NPgA98r3l/dp9z/3Fvbq9rr2iPZb9jb2GPX69dn1u/We9YL1YvVC9SL1AvTh9MD0ofSE9GX0RfQn9Avz7fPL86jziPNr803zL/MR8vfy4fLL8rPymvKD8m/yXvJP8kPyOPIu8iPyGPIN8gPx/PH78fzx/PH78fzx/vH+8f3yAPIG8gzyD/IS8hnyIfIq8jjyS/Jd8mzye/KM8qHytfLL8uTy/vMZ8zfzVvNy84/zsfPZ9AD0H/Q/9Gf0kvS29NL07/US9Tn1YvWN9br15fYM9jP2W/aG9rP24PcJ9yv3Tvd496j31/gB+Cv4WPiJ+Ln45fkR+Tz5avmZ+cX57voW+kH6bvqa+sP67fsV+zn7W/t8+537u/vY+/n8Hfw9/Fv8evye/MX86/0P/S79Sf1k/YL9of2+/dz9//4i/j3+Uv5r/o7+sv7S/vT/Gf88/1f/cP+O/6z/xf/eAAEAKQBOAGsAhwCnAMsA8AEVAToBWwF9AaYB1AH/Ah8CPAJkApoC1QMKAzUDVwNxA4QDogPbBCkEbwSbBLgE2wUIBTcFZgWZBccF5QXuBeYFxwWSBV4FRQVIBVwFiAXSBhIGCQW6BW0FRgUQBIsD1wNEAvECwAKQAkQBvwETAJ0ApQDiANEAfAB/ARIBiQEZ/+f+5f66/z3/2wAl/+n/IP4D/QL8cPxD/D38NPwi/An77/vb+8j7p/t1+0T7H/r6+sX6i/pX+h/5zvll+PT4ifgg97T3Svbn9o32O/Xw9az1dPVO9TX1F/Ts9Lz0l/SB9HP0aPRc9Ev0NPQV8+zzuPN28yzy3vKM8jnx8/HE8anxk/F08U3xHvDt8L3wlfB/8IfwrPDd8Prw9vDT8JjwQu/Y72/vIe7z7uLu6u8G7yjvQO9R72vvjO+l76/vt+/K7+vwFPBG8IHwv/D+8T3xgPHC8gHyP/J78rby8PMr82bznfPS9A30UPSP9MT09vU09YD10vYm9n322Pc195L38fhO+KD45fkk+Wf5tvoM+mL6r/rs+x37Svt9+7X77Pwd/Ez8gvy9/Pf9K/1c/Y/9v/3r/hj+Tv6J/r3+6v8T/z3/ZP+J/7L/5AAbAFIAiAC8AO4BIAFVAYsBvAHlAgsCMAJTAnUCmQLBAukDDQMyA1sDhQOsA9QD/wQrBE8EcQSVBLsE3AT5BR4FTgWCBa4F0gXzBhQGOQZoBqEG2Qb+BxEHIgc+B2EHfgeMB44HjgeRB54HtQfPB+IH7ggCCCoIXwiLCKcIwAjqCR4JSAlkCZMKBwrMC7AMaQzSDP4NDAz1DKYMLQvGC6YL0AwcDGUMnAzIDPQNJg1XDXsNjw2jDbwNyg20DXsNNAzpDJkMSAwIC+QL1QvJC7cLnQt9C1wLPAsYCusKvQqfCpoKpwq9CtAK0Qq0CokKbgpjCkwKIQoDCgwKIAoRCh8J9wn0Cf8J/Qn7CgwKIwoqCiEKGgobChcKCAn2CesJ5gnjCd0J0gnHCcAJuAmfCWoJMAkXCSYJQAlACRsI4AigCGUINwgjCCcILwgjCAIH3gfHB7wHqweTB30HbAdSBx8G3gaqBocGZAY0BfwFyAWXBV8FIATgBKAEWAQEA64DXQMTAsoCfwI5AgMB3AG5AY4BWwEoAPgAwQCAADn/+P/F/6L/lf+f/7H/rv+K/1D/GP7y/uD+1v7G/qb+ef5N/i3+Gf4K/f/9+P3t/dT9tP2d/Zf9k/2C/Wr9WP1N/T39Jf0L/O/8z/yt/JP8fvxb/Cb79/vp+/f8Dfwf/Cf8Fvvk+637kvuM+3D7Ovsd+0D7f/ue+6b70vwy/JT8yfzf/Pr9Ff0R/Or8uvyd/Jr8qPyr/ID8KPve+9r8BPwE+637Kvq9+nL6Lvnn+an5bfka+LD4U/ge+Ar3/vft99P3qPdw9zj3Ava/9mL1+PWa9Uz1CvTZ9MP0u/Sp9IP0WvQ49BDzzfNv8wfypfJI8evxf/Dn8BPvHu4/7ZftGOyi7C/r0+ub64Hrdutv617rPesW6v3q7erN6p3qiurE6zTrk+uu65frfOts61nrPOse6wXq5+rF6qXqg+pT6hDpx+mB6TXo2+h36BPnsedM5uTmf+Yc5bXlTeTm5IDkF+Ou40ri7OKK4iXhv+Fh4QzgweB74C7f1d973zDe8N6p3lfeA9223W3dI9zc3JrcU9wJ28jbk9te2yLa69rG2qnaiNpr2mLaZNpd2kfaJdnz2bDZbtlF2TDZFdjy2OPY69jr2N3Y69k62ajZ8Nnw2cDZhdlR2SnZB9jf2LzYy9kr2bvaNdp+2rXa8dsg2zbbPds42w/awNp82nvaudsA2zbbZ9uk2+bcLNyG3Pzde93r3kfent8C34TgJODN4WHh1+JF4sbjZeQX5MrlbOX05mnm3ude597oT+iw6QLpOelI6TzpPOlO6UfpAOik6KnpV+qE677sw+2b7lXu5O9K77zwbvFG8fnyZPKt8wvzh/QR9JX1B/Vh9a32C/aL9xr3m/gE+F74qvjj+Q75N/lk+Zf50/oc+m36vvsQ+2v7y/wn/H/82/08/Zn98f5L/qf+/f9I/5n//gBzAOUBSwGmAf0CUAKmAwoDhAQLBIUE4wUtBX4F5wZdBs8HNAePB+8IYQjjCVwJtQn5Ck0KxQtIC7oMHwyODQwNfQ3HDfAODQ4vDl4OnA7xD20QHhD+EewSwRNgE7ITqxNwE1wTqBQsFI8UshTLFQcVWRWkFd0V9BXYFcIWLBdJGKMZlhoEGkMajhrVGx4bmBwzHIYcVRvfG2Ya0RoFGUgY1xhPFx0VhBSiFTYWtRgCGJ8Y4BkgGU8ZShkuGSYZIhkDGNgYxhjQGNkY3hjtGQMZChkAGPsY/hj0GNwY2RkGGUEZRBjvGHIYHxgeGFoYohjsGUkZnhmFGLAXcxamFtkXvhiKGMwYtRifGJ4YlRiBGHUYbRhVGCwYBxf1F+4X9RgKGCAYIxgPF+4Xvxd5FygW9Bb6FzIXexezF8IXnhdXFxIW6BbgFuwW9hbqFtYW7Bc/F4kXVRaMFZgU8xSqFG0UDROkE2wTgBPaFFMUnxSAFA8TnhNaEyIS1hKXEpMSsRK8ErgS2xMgEzQS3BJGEcsRjxF3EWMRTREvEP0QvhCKEGoQUBAwEAoP2g+XD0oPEA76DvQO2A6hDmcONw4HDccNew01DP0MzwyiDHYMUgw4DB0L9QvIC6cLkwt1C0oLKgslCyULCArZCsAK0Qr4CxsLKwsSCsQKYgosCioKIQnkCakJuQoBChwJ1QlgCQgI3AjECLgIvgjHCLwIpAiOCHUISQgQB+oH4gfiB80HngdiByoHAwbyBugG0gaqBoIGbAZjBlQGNQYQBfEF3AXNBb0FqQWVBYUFdgVkBVEFRQVCBUMFPwU0BSEFCgT0BN4EvgSNBFMEJgQRBAkD/wPyA+gD5gPqA/QEAgQPBBkEJAQ0BEAEQgQ+BDwEPwRIBFwEeQSXBKwEvATNBNcE0QTEBMkE3wTxBPcFAQUVBSIFHwUdBSwFNgUpBR4FQwWNBb0FrgWEBXcFigWZBZAFewVrBWQFZAVlBVsFRgU9BVUFewWFBWIFMQUTBQcE+AThBM0EvgSvBJwEhwRvBE4EKgQLA/ID3QPLA74DsAOcA4IDaANPAzIDEQL2AuECywKyApgCgwJuAlgCRAI1AiQCDgHzAdoBwQGnAYkBagFIASQA/gDaALkAmQB5AFsAQQAoAA7/8f/U/7f/mv96/1n/Nv8V/vL+zv6n/n/+V/4u/gP92f2w/Yb9Wf0r/P780fyk/Hj8UPwq/AL72Puu+4f7YPs4+w/65fq7+pL6bfpL+in6A/nW+aP5bvk6+Qn43Pi1+JD4Zvgz9/r3w/eS92b3PvcW9ur2u/aO9mf2RvYo9gr17vXT9bf1l/V29Vf1OPUY9Pn03PS+9Jz0evRa9D/0I/QC89/zvfOe84DzZPNK8zDzGPMA8ufy0PK68qbylfKI8nzycPJl8lryT/JF8jnyMfIv8i/yLvIs8iryKvIo8ibyKPIt8jLyNvI88kPySvJS8l7ycPKC8pHyn/Kv8sDy0/Lp8wHzGPMx80/zcfOQ86vzyfPt9BT0NvRY9H/0p/TK9Oj1B/Ur9VH1ePWg9cn18PYV9jn2X/aG9rH23fcH9y33Ufd796r32PgC+Cz4WfiI+Lj45vkT+UH5cfmh+c359Pob+kX6b/qX+r/66PsQ+zX7WPt7+5z7ufvW+/j8HvxA/F38e/ye/MP85/0I/SX9P/1b/Xn9lf2s/cX95/4N/i3+R/5j/oT+ov68/tv/Af8n/0j/Zv+H/6b/vv/T/+4ADwAyAFkAfgCeALgA1QD9ASgBTQFvAZYBwgHsAhACNgJjApUCyQL9AzMDaAOXA7wD2gQABDcEcgSaBKYEpwS6BO8FPQWJBboF0AXhBfgGBAX0BdAFrgWaBZQFrAXgBgkF+AXEBbUF1gXVBXEE0QRKA/MDsgN4AzUCwwIfAaUBngG7AWcAswBoAPQBtQG5AOQAAv/AAAQAOP/q/xP9/v0W/KP8j/yS/H78XvxC/CT8Avvp+9z7wvuR+177OfsT+t/6q/qF+l36Gfm9+Vz5APil+En38/eh90z29vai9lT2D/XY9az1ffVD9Qj03PTA9Kr0lvSG9Hr0ZvRD9BTz4vO285PzbvM28u3yqPJ18k/yKvH/8dHxnPFh8SvxDPEK8R7xPPFX8WPxW/FF8R3w1fBk7+Dvbe8j7wPvBe8c7zfvS+9c73Xvk++p77Dvtu/H7+PwBPAv8GTwofDf8SDxZvGr8fDyNfJ58rry9/M083HzrfPl9CD0XPSR9Ln03/UR9VX1o/X29kv2ovb791X3sPgH+FH4kfjS+R/5ePnX+jX6ifrP+w37S/uN+8z8Avws/Fj8kvzX/R39Wv2M/bj94f4J/jf+bv6p/t3/B/8s/1H/df+Z/7//7gAkAF4AmQDRAQYBPQF2AbAB5AINAi0CSgJmAoMCpwLQAvkDHwNEA2kDjgOwA9QD/AQlBEoEbASPBLEEzwTtBRYFTAWGBbYF2gX4BhsGSQaEBscHBgc0B0sHTAdFB0MHTAdcB20HeQeCB4sHmweyB8wH5ggECCgITwhyCJAIsQjeCRAJMwlECV8JtQpeCzUL9AxsDKYMvwzDDJ8MVAwBC9IL2wwPDFUMlgzJDPMNGQ08DVcNbA2HDaINpg2GDVQNJQz0DK8MWQwSC+4L4gvWC8ALoguBC18LPwsdCvUKywqtCqEKpwq4CswK0wrDCqkKnAqWCnsKSgosCj4KXApSClIKIwoXCh0KHgofCiwKPApACjsKNwoyCiUKFAoGCfwJ7AnaCdMJ2QndCdMJuQmRCV8JLwkPCQMI+gjnCMcIoQh9CF4ISQhCCEMIOwggB/cH0we/B7UHoweAB1cHNwciBxAG+QbbBq8GdAY1BggF8wXiBbUFZAT9BJcEPQPtA6MDWgMPAscChQJNAhsB7AG9AYwBWwErAPcAvAB6ADj//P/L/6j/m/+m/7j/t/+V/1n/Ff7c/rf+of6O/m/+RP4T/eL9tP2T/Yz9mv2k/Zj9gP11/Xn9eP1k/Ur9O/0z/SL9Bfzl/MX8pPyH/HX8ZvxI/Bj76vvS+9D71/vj++/75Pu1+3n7WvtY+0z7JvsP+yv7Y/uE+4n7ofvk/DT8avyN/LP81vzc/MD8n/yS/Jn8m/x//Dz77vvM++r8E/v5+4r7BPql+mP6E/mn+Tr42vh8+Br3x/eZ94X3dPdc9z73IPcE9uj2vfZ09gv1mvU69O/0t/SS9ID0c/RU9CTz8/PM857zVfL28pXyQfHw8ZHxEPBc73fuiO297SrsuOxH69rriutl613rWOtJ6y3rCurk6r/qleph6jrqTeqv6zTrjOuS62vrTetE6zXrEurr6tLqv+qm6oXqYOo06fvptulu6SLoz+hz6BDnqedC5t7mf+Ye5bnlT+Tn5H/kFeOq40bi6OKJ4iLhuuFY4QLguOBx4CDfxN9n3xfezt6C3i/d3t2V3VDdDdzM3IzcRdv627fbgNtK2xDa3Nq52pzaetpg2lnaXNpW2kDaHNnl2Z3ZWtk42SvZF9j32OXY59jf2MnYzNkL2WvZuNnV2cPZh9ky2OPYrtiH2GvYgdjv2ZDaGtp12sHbDts920PbRdtU20Ta89qQ2nPap9ru2x3bRNt828HcBtxa3M7dVt3R3jXekN7533vgGOC94VLhzeJA4sTjY+QS5L7lXeXq5mvm7ed46AHofejr6UnpiemY6X/pZOla6UXo/Oid6I3pIupI65rsxO2z7m7u++9u7/fws/GA8h7yevLC8yTzo/Qs9LD1JvWF9dT2Mvaw90H3yfg8+J/48Pks+Vn5gvmr+db6CfpR+qn7AvtW+6z8Cfxl/L39Ff1z/dL+Lv6K/ur/Sf+i//oAWgDEASwBiAHbAi0CgQLaAz8DuQRBBL0FGwVlBbMGEQZ3Bt4HRAevCCEInQkeCZIJ5goqCoIK+At2C+IMSwzKDVANtA3dDeEN6Q4UDmgO1w9LD8gQaxFBEi0S/ROPE9sT5hPRE9UUFBRqFJ4UtRTiFTQVhBW3FdsV8BXpFgQWuxgnGawakBrCGrkawxrYGwkbhxwxHIwcZRwMG7UbGxoXGR8YqxhWF04VrBSnFSkWthgYGMIZChlRGYUZgBljGVwZWxk/GRYZCBkYGSoZNxlHGVQZUBlGGUMZORkXGQEZMRmeGd8ZlBjXGCAX0BfnGCgYaRitGPwZLxj5GD8XZhcOF3kYPBi9GM0YtRiyGLQYnRiCGIAYjBiIGHIYYBhSGD0YKRgmGCsYJxgcGBcYCRfVF4IXRRdAF18XeheGF4sXiBd0F1cXPRcsFx8XDxcBFv0XChclFzEXBhaUFfAVQBSlFDIT7RPFE60TvxQkFLwVERTLFCIToRN6E2YTLBLvEuYS9RLqEuUTLROvE+wTkRLWEjER1xGrEYkRaRFKESMQ9xDUELwQohB/EFYQJg/iD5APSQ8eDv0O0Q6fDncOWg4yDfYNsQ12DUcNGgzqDLwMlgx1DEsMFgvkC8YLtQudC3cLWAtOC0ILGArUCpcKfwqZCugLTAuBC1AK3QqECmwKXwooCeMJ0AnwCgIJ4wmoCW4JNwkBCN4I1wjYCMwIvAixCJgIZQgqCAkIBAf+B+MHugeKB1AHFQbrBtkG0Qa+BqAGgwZsBlkGQgYmBgoF9AXjBdMFwAWsBZoFhQVsBVUFSgVMBVMFVwVYBVQFSAUzBRgE8QS6BHoERgQoBBgECgP+A/cD9QP1A/kEBAQSBB8ELAQ5BEAEQQRABEMERwRMBFoEdASQBKQEtgTNBNsE1ATFBMcE3gTxBPYE/QUPBR4FHwUgBS8FPQU7BTYFRwVkBWwFYQVqBZYFwAW+BZcFcwVmBW8FhAWXBZIFbQVIBUUFXAVkBUoFKwUfBR8FEgT4BOME1gTKBLsEqwSXBHkEUwQwBBcEBAP1A+kD2gPEA6oDkwN7A14DPQMfAwkC9ALbAsECqgKUAnsCZAJRAkACKwIWAgEB6wHRAbQBlgF2AVIBKwEGAOMAwQCgAIAAZQBKAC8AEv/3/9z/wP+g/37/W/84/xX+8P7J/qH+ef5O/iL9+P3P/aX9ef1O/SL89PzF/Jj8b/xJ/CL7+vvU+677h/te+zT7CPrd+rP6jfpp+kb6Ifn3+cf5lPlf+S35Afjd+L34l/hn+C739ffB95X3bvdJ9yH29/bL9qL2fvZe9kD2JfYL9e71zfWs9Yv1avVJ9Sj1C/Tt9Mz0qfSK9G70UvQz9BLz7/PP87Hzl/N/82jzT/M28x7zCfL28uPy0vLD8rfyq/Kf8pTyivJ/8nPyavJl8mPyYPJa8lXyUfJP8lDyU/Ja8l/yY/Jp8m/ydPJ68oTyk/Kj8rLywPLP8t/y8vMI8yHzOfNQ82zzjPOq88Lz3PP99CP0SfRv9JT0uPTZ9Pj1GfU+9WP1iPWv9db1+vYe9kP2aPaO9rT23/cL9zT3W/eG97P33vgH+DH4XviN+Lv46PkV+UT5c/mh+cz59Pod+kb6bvqS+rj64fsL+zD7Uvt1+5f7tvvU+/X8Gvw7/Fn8e/yf/ML84Pz8/Rf9Mv1O/W39iv2h/bb91P33/hr+Ov5b/n3+l/6u/sn+7v8T/zT/Vf92/5T/rf/H/+P//gAaAEAAawCOAKYAvwDkAQ8BNwFeAYgBsgHYAgECMAJkApQCwgLyAyUDWwOYA9UEBQQqBFEEgASiBJ8EgAR3BKcFBwVmBZ4FtwXWBhIGVAZxBlQGDQW7BX4FbwWKBagFrQW2BfQGTQZkBhAFkwU8BQwE2gSeBFkD4wM0AqQCgQJ6AekA2AAxAKIBtwJdAhMBRACKABD/oP8A/i/9Zvzr/NX85fzV/KL8fPxt/FX8KPv/++j7zvui+3T7T/sk+u76wPqq+pj6b/oz+fH5p/lO+PL4nPhI9+r3hvcm9sr2cvYk9eT1qPVo9S/1CfTu9M/0sPSe9Jr0kfR19Ef0F/P08+DzzPOo83bzR/Mi8vvyxfKK8lTyHfHe8aTxifGS8azxxvHT8dDxvfGj8YHxRvDb8E3vx+9u70jvRu9U72Xvc++B75Tvqu+477zvwu/T7+vwB/Ar8FnwjvDG8QbxTPGW8d/yKfJ08rry+PM083Pzs/Py9C/0aPSW9Lj02fUH9UX1j/Xe9i/2f/bN9x33bve9+AX4SPiR+OP5PfmY+fH6RPqR+t37LvuD+8/8Cfw0/GL8nvzo/Tf9fP2z/dz+Af4o/lj+kf7L/v//Kv9Q/3f/nf/E/+wAGABJAH0AtADsASQBWQGOAcIB8wIbAjsCVAJtAosCsALcAwcDLwNVA3gDmwO/A+QEDAQ0BFsEgASjBMME3wT/BSgFWwWPBb0F4gYDBisGXwabBtgHDwc8B1gHXgdRB0IHQAdNB2EHcweEB5QHpQe2B8sH5QgBCB8IPQhcCHkImQi+COMJAQkUCS0JbgnsCpkLQwu/DAkMOQxkDH4MdwxQDCAMBwwUDEUMgwy5DN4M+A0MDSANOg1dDXkNdA1LDR0NAAzkDKoMVwwRC+8L5AvXC8ELpAuEC18LOwsZCvYK0wq1CqUKowquCsIK0wrUCs0KygrECqQKbApMCmAKhAqBCmMKQAo2CjkKOwo9CkcKUQpRCkkKPQosChUKAgn5Ce8J1gm6CbEJvQnGCbYJkQllCTwJFwj1CNkIxAiyCJ8Iigh1CGgIZAhjCFoIQwgfB/gH1ge/B68HnAd/B1wHPQcuBy0HLgcbBuQGjQY6BhEGFQYfBf0FnwUbBJkEMgPiA5oDSgL1AqoCdgJQAiYB7AGqAWsBNwEFAMwAjQBOABf/6P++/5//kf+U/5v/lf96/0n/Cf7K/pr+fP5j/kT+Hf3w/bj9df09/Sz9Qf1Z/Vj9Sf1G/U/9UP0//Sv9IP0X/QD84PzB/Kb8h/xo/FD8Pfwn/Aj76vvS+737q/un+7L7sfuO+1X7Lvsn+yf7GfsO+yD7SPtj+2z7f/ux++78HPw//Gn8k/yg/In8bfxs/Hv8d/xE+/X7u/u8++n8AfvM+1P61vqA+j353flY+ND4YfgD96j3V/ck9w72//bl9sf2sPak9pf2cfYk9bn1SvTs9Kf0dPRR9Dn0HvPx87bzfvNN8xXyxvJm8gzxw/F/8STwlu/Q7uTt/e1B7LnsTevq65DrVes/6zvrMesZ6vrq2Oqw6nzqP+oN6gbqQuq56zjrfut460zrKusf6xHq7+rG6qnqlep96lzqOeoV6eTpoulW6QzoxOhz6BLnpuc75tnmfOYb5bTlSeTi5H3kFuOt40ri7OKM4iThu+FZ4QPgteBn4BHftd9b3wfet95i3g3dvd113TLc8dy13HrcN9vw26/bd9tA2wba1tq02pPabtpS2k7aV9pV2kHaGtnc2YvZRdkm2SPZGNj92OjY4djV2MDYvdji2SPZZtmZ2abZbdj22IDYPdgk2BvYQNi12V7Z9Npj2tLbQdt6227bWdtk21vbBdqL2lbagtrL2vfbGNtR25vb4twz3KbdMt223iHegt7t32zgAuCl4T7hweI44r3jW+QD5KflQeXW5mrnAeeZ6Cvorekc6XrpvunU6bjphulY6Sno3uiI6Hjo/+oe637swe287nTvAe+G8Cfw6vGq8jfyj/Le80fzxvRI9Mj1RPWy9hD2bvbg92H34/hb+Mn5Jflm+ZT5wfnw+h76T/qR+uf7Q/uX++f8O/yT/Or9Qf2f/gD+YP6+/yD/iP/tAEwAqAEJAW0BygIfAnECyQMmA4oD/AR9BPgFWgWkBecGNAaJBucHUgfFCD0IuQk1CaUKAApSCrgLNAusDBIMewz4DWwNrQ23DbENzA4hDqwPTA/aEE4Q0hGMEmgTKxOtE/QUFhQoFEEUaxSVFK8U0BUVFWsVoBWvFcYV9BYrFo4XeBjmGkIa7hr0GskaqhqSGqYbJBvbHEUcNhwEG9MbPhoVGPIYbhghFyQVhBSAFQ8WsBgnGN8ZLhl5GbEZtBmgGZ0Zmxl9GVUZSRlZGWoZdRmAGYUZfxl8GX4ZbRlFGUcZsxpSGoIZ6BjcGBEX3RgBGB4YGRgVGCgYNhgVF8YXixeuGCgYpBjXGM4YxxjVGNAYqxiMGI0YmxibGJgYoxiqGJIYZxhJGD4YMxgqGDIYOxghF+MXrRebF5MXdxdYF1YXbheDF4UXeBdfFzcXDhb7Fv8W/xbnFscWshaWFj8VkxTKFEIUGxQaFAYUDBSEFVIVyhVzFJoT8xO/E6gTahMrEx8TIhMDEvUTURP3FFAT+xM4EocSIBHhEaYRdRFdEVgRXhFjEVURJRDdEJcQXBAeD9MPiQ9ODxsO5w62DpcOhA5mDjEN8w28DZENZg00DP4MzwynDH4MTAwXC+oLzQu2C6ILkAt+C1kLGwrMCoAKSQpKCqILOwuyC6sLNgq+CoYKbAo3CfIJ2An8CjcKWApOChcJwQlpCS8JDwjzCNMIwQi8CKkIeQhGCC0IJAgPB+gHvAeOB1MHEAbfBs4G0AbMBrcGlwZ3Bl4GTQY8BicGEAX9BewF2QXFBbEFmgV+BWUFXAVkBXEFfQWIBY0FhQVtBUoFGwTgBJ0EYwQ+BCgEGgQSBA8EDAQGBAMECwQbBCwEOQRABEEEPgRABEcETAROBFYEbQSIBJwErQTEBNMEzgS+BL4E0wTrBPgFAgUUBSQFKgUwBT0FSgVOBVQFYAViBVAFSAVsBa4F1AW9BYoFagVtBYcFrgXRBdIFpgVxBWEFcQV3BV4FQgU7BTsFKQUKBPIE6ATgBNcEzgTCBKYEfgRXBD0ELQQfBBAD/gPoA9EDvQOoA4sDaQNKAzEDGwMBAucCzwK3Ap4ChgJyAl8CTAI6AigCFAH5AdsBvQGeAXwBVgExAQ4A7QDNAK4AkABzAFYAOQAdAAH/4//B/53/ev9Y/zT/D/7p/sL+mf5v/kT+Gv3w/cX9nP1z/Uj9Gfzo/Lv8kPxm/Dz8FPvw+877q/uF+1z7MfsE+tr6tPqO+mb6PfoT+eX5s/l/+U75JPkA+OD4v/iV+GH4Kff198n3o/d/91n3MvcI9uD2uvaX9nf2W/Y/9iH1//Xc9bn1lvVy9U/1MfUU9Pf02PS69J70gfRj9ET0JPQF8+fzzPO1853zhPNs81bzQ/My8yHzD/L/8vLy5/Ld8tHyxfK58q3ypPKe8pnyk/KL8oPyfPJ68n7yhvKO8pPylfKY8pvynvKj8qzyuPLF8tHy3vLs8vzzDvMl80HzW/Ny84rzpfPB89nz8PQP9DT0XfSF9Kn0yvTo9Qn1LvVT9Xb1m/XA9eT2BfYn9k32dPaZ9r725vcR9zr3Y/eN97n34vgK+Db4Y/iQ+Lv45/kU+UH5bvmZ+cT57foY+kT6bfqQ+rX63vsH+yr7Svts+5D7sfvR+/L8FPwy/FD8dPya/Lv81fzu/Qr9Jf1A/V79fP2W/a79yf3p/gn+Kv5N/m7+i/6l/sT+5/8G/yP/QP9e/3f/j/+v/9T/8gAKACoAUwB5AJUAsgDVAPsBIQFMAXwBpgHLAfQCJwJaAocCtQLnAxUDQQN8A8sEFAREBGYEjQSoBJUEWwQ0BFAEqQULBUwFbwWZBecGRgZ/BmUF/wWABR4E9AT2BQgFKAV7BhAGpAbLBncGDQXsBgMGDQXxBaoFHARHA4cDNAMCAkoBDgA1AJEB3wMOA0oCiQFA/+/+5v48/dD9gf1R/UD9Lvz5/Ln8m/ya/If8Vvwk/AT74vuy+4T7X/s4+w/6+fr7+vj63vq4+pT6YfoT+bT5Ufjk+Gj37Pd/9xr2uPZg9hv12/WY9WH1QPUn9QL02vTH9Mr0yvS19I30YvRA9Cj0EvP289fzwPOt84nzTPMK8tnyr/J88kbyJ/Im8jPyQPJH8kLyKvIH8eHxqPFA8K/wIu/I76Xvou+n76vvse+678jv1u/d79/v4+/v8ATwH/BD8Gzwl/DF8PzxQPGI8dLyHvJs8rPy8PMr82vzr/Px9C70Y/SO9LP02vUO9U/1l/Xl9jP2ffbC9wf3Ufec9+T4Lvh8+M/5Ifly+cL6Evpg+rH7DPtr+8D8Avw4/Gz8qPzu/Tr9hP3B/fD+GP5E/nz+u/74/y7/Xv+N/7v/6AAUAEAAbgCaAMQA8AEhAVQBhAGtAdYB/wInAkoCZgKBAqECyQL1AyMDTQNzA5YDuAPfBAkENARbBIMEqwTRBPAFCwUrBVMFfQWiBcUF5wYPBkAGeAarBtEG6wcDBx8HNwdAB0AHQwdNB1wHbgeEB5wHrge6B8cH2gfyCAwIKAhFCGMIfQiTCKgIvgjVCPEJHAlpCd4KaQrnC0gLmAvpDD0MewyODHYMTgw2DD8MYgyKDKkMvgzODOEM/g0iDTkNKwz9DNAMugyqDH8MPQwGC+0L5QvXC8ELpQuCC1cLKwsHCusK0gq9Cq8KqgqwCsQK2wrpCusK6QrfCroKfwpYCmEKgAqEClUKSApKClAKUQpRClIKUQpFCjEKGgn/CeMJ0gnLCb4JoQmACXIJeQl9CWwJSQklCQUI4wjBCKgInwihCKAIlAiCCHYIcwhvCF8IQwggB/sH2Ae6B6gHogeeB5IHfQdnB1kHUAc4BvkGlwY6Bg0GFAYgBf8FogUiBKUEQgPwA54DPgLdApMCaQJPAiUB3gGIAToA+gC/AH0AOf///9T/sf+Q/3P/Yf9a/1X/TP84/xb+4f6l/nP+Uv43/hb99f3U/aX9Xv0V/O788P0A/QH8+vz9/Qr9D/0I/QH8/vz2/N/8w/ys/Jf8evxW/DT8GvwH+/n77vve+777lvt9+3/7iPt5+0/7IvsM+wr7CfsI+xX7MPtG+1L7YfuF+7L71/vx/BL8OPxI/Db8Hvwi/Db8K/vu+6T7hvuj+9L71vuU+yL6rfpM+e/5evjv+Gz4Bfet91D28/ay9pn2lPaF9mf2SvY69ir2AfW19VT08vSf9F30LPQE8+DztfN+80HzBvLM8oryNvHW8X3xN/D68KfwHe9Z7nXtmOzh7FTr6uuZ61zrN+sm6xzrC+rw6s/qq+p86j/qB+nz6hjqcOrc6zXrYetb6znrG+sL6vvq2+qv6ofqZ+pK6irqDOnt6cPphek96Prou+hx6BLnpOc45tbmduYS5anlQeTe5H7kGeOy40/i7+KN4iXhvuFe4QjgtOBd4ATfrd9a3wberd5R3fndqd1h3Rzc29yg3GjcKdvp263bdds82wPa1tqz2o3aYNpC2kDaT9pV2kXaH9nc2YPZNNkR2RHZDtj32NzYy9i82KzYqNi32NTY/dkw2UjZENiL2AzX09fS193YCdh92SfZxtpM2t7bcdu926fbedtv21va+Npv2i3aWNqm2tXa9dsv233byNwZ3IzdGd2h3hLeed7m32Df7uCN4SjhruIm4qzjSePv5IzlJOXC5mnnE+e46FDo1elC6Z3p4+oC6evpqula6Q3ow+iH6I7pFeoi63bstu2v7mXu+++Z8FPxIfHZ8lrysfMH83bz8vRt9Of1aPXo9ln2vvci94z3+/hw+Ob5T/mb+dH6BPo8+nL6pPrf+y37hfvX/CD8bPy+/RP9aP3B/iH+g/7j/0f/twAqAJMA8AFNAa8CEQJsAsQDIgOEA+YETgTDBTkFnQXkBh0GXAasBw0HegfpCFUIwwk4CaoKDwp0Cu0LcgvnDEMMnQz/DUoNZA1lDYAN2A5rDyYP5BB5EN4RRBHeEqATSROzE/IUKRReFIkUpxS6FM4U+xVGFYwVphWoFdEWOBbCF28YaBmbGpIa7BrHGn0aORoLGjYa6BvFHDMcGRviG60bCRnLGJAX7heAFnMU7hQlFOsWqxgyGPkZVBmiGdsZ5RneGeEZ3Bm6GZIZhBmNGZUZmBmeGaIZoRmoGbUZrRmSGakaIxqvGqsZ4BjXGEUYThh+GGcYDxe+F5wXmRegF7gX8xhSGLEY5hjpGOEY7hj/GPAYxhiqGKgYpBiRGIkYnxi0GKMYdxhbGFUYThhEGEYYUBhFGCIYARfuF88XlhdlF18XfBeVF5gXihdqFzYXABbpFu0W5Ra9FpYWnBayFn0VzBTpFFgURRRaFEgURxTDFZ8WJBXUFQAUXRQiE/oTqRNhE1ITTRMgEwQTUxPwFEkUAxNbEsUSZxIcEc4RlhGTEcYSEBJGEjgR1hFIEM8QiBBZEBwP0A+HD0oPFA7lDsIOrA6QDmMOKA3tDbwNkg1lDTAM+QzLDKgMhAxVDB0L6wvMC8ILvQuoC3ULMArsCqoKaApDCnIK9AtwC38LHAqkCmIKSAohCesJ1Qn/ClIKmwqqCnYKGAm/CYEJTwkTCNsIvgi5CKgIgQhaCEQIMQgOB98HrQd2BzQG+AbZBtcG3wbcBsoGrQaKBm0GXQZTBkMGLAYXBgQF8gXfBc0FugWiBYsFhAWPBaEFtAXDBckFuwWaBW8FPgUDBL4EgARVBEAEOAQ3BDYELQQdBBEEFQQmBDkERwRMBEkEQwRCBEcESgRIBE4EYwR+BJEEnwSvBL4EvwS3BLkE0ATvBQcFGAUoBTMFOQVABUkFUgVcBW4FhQWKBXgFbQWHBa8FtQWQBWgFZAV/BaoF3QYJBgwF3AWkBZcFsgW+BaUFhAV3BW8FVgUwBRcFDQUGBPsE8wTrBNQErgSGBGwEWwRJBDUEIAQLA/gD5gPRA7YDlQN0A1cDPAMiAwgC7wLYAsECrAKZAoUCcAJcAksCOAIfAgIB4wHEAaMBfwFaATYBFQD3ANkAvACdAH8AYgBGACcABf/h/73/mv93/1P/Lf8I/uH+uf6P/mX+O/4R/ef9v/2Y/W79P/0P/OL8tvyI/Fj8LvwK++r7yfun+4H7V/sq+wH63Pq1+or6Xfov+gH50Pme+W/5RPkd+Pv43Pi4+Iv4WPgo9/732fez9433Zvc+9xj29PbS9rH2k/Z19lX2MvYN9en1xvWj9YD1YPVE9Sn1D/Ty9NT0tfSX9Hv0XvRA9CL0BvPr89LzufOh84rzd/Nn81jzR/M18ynzIPMX8wry+/Lt8uPy2/LU8s/yyfLA8rfyr/Kt8rLyu/LE8sfyxfLD8sPyx/LO8tjy4/Ls8vXy//MN8xvzK/NB81vzdfOM86HzuvPW8/H0C/Qn9Er0cvSa9L/04PUA9ST1S/Vx9ZT1uPXb9fv2F/Y19ln2f/aj9sj27vcV9zv3YveN97n34/gN+Dr4aPiS+Lr45vkT+UD5afmT+b355voS+kD6avqP+rP62vsC+yX7RPtm+4r7rPvN++/8Dvwp/EX8aPyO/Kz8xfzg/P79Gv0y/Uv9aP2F/aH9v/3g/gD+Hv48/lz+ev6b/sD+4v78/xT/MP9M/2D/dP+U/73/4P/6ABgAPABgAIEApgDOAPIBFAE/AXIBoAHGAe8CHwJJAm0CmwLVAwYDKQNdA7AEBAQ5BFoEfwSaBIUERAQQBBgEWASoBOQFAQUaBUwFmQXRBcEFagUBBLsEnwSSBIgEoAUUBegGuAcEBrsGWwZhBsYHLAdMBxEGbQVyBHcD0gNVAoMBXgCiAQUCXQPEBFcDvAIrAEn+0P4d/fT95P23/X/9TP0U/OD8xfy8/Kj8g/xf/Dz8B/vE+4z7aftT+0/7Zft/+3X7R/sc+wv6+frI+nb6Bvl2+NP4P/fM92v3Dfa99oD2QfX29bb1k/V89Vb1KPUQ9RD1DfT19M/0qPSE9Gb0TfQ19B70D/QC8+TzqvNw807zPPMf8vXy0vK+8rHyqvKs8q7ynfJ68lHyFvGv8RvwivAv8A/wC/AI8AHv/e//8AXwDfAS8BLwE/AZ8CjwRPBr8JXwufDc8QnxRPGG8cvyE/Jd8qPy4PMc813zovPl9CH0VfSB9K304vUh9Wf1r/X79kj2kPbS9xb3X/eq9/P4P/iP+N75J/lv+bz6C/pZ+qj6//ta+7D7+vw+/H78uvz2/Tn9g/3K/gX+OP5w/rL++f85/3H/p//dABEAQABtAJ4A0gEAASYBSAFvAZoBwgHjAgICJgJNAnACjwKtAtAC+gMoA1cDggOnA8YD5AQKBDcEYwSHBKoE0gT4BRQFLQVMBXUFnAW5BdMF8wYfBlgGkwa/Bs0GxAa+BtAG9QcaBzEHPwdIB1IHYgd4B48HnweoB7IHxAfaB/IIDAgoCEMIWQhmCHEIgQibCLcI0AjyCTIJlgoOCn0K3wtEC7YMJQx1DJAMfwxbDEAMOwxGDFoMcAyIDKEMvAzXDOEMzgyjDHwMawxiDEcMHAv4C+kL4gvUC74LoQt6C0cLFQrwCtwK0ArICsEKvQrACtAK5wr3CvkK8wrkCsEKiwpeClMKXwpjCj8KQQpOClsKYApdClUKQwokCf4J3Am+CaYJlwmOCX8JYwlBCSoJHgkUCQII6wjTCLkIlwh4CGwIewiZCKsIpQiPCHkIawhiCFUIQwgqCAgH4gfEB7sHxAfTB9QHwAeYB2wHSAciBucGkQY6BgYF9QXmBbcFZAUEBKsEWgQHA6UDOwLYApMCawJMAhgBxAFiAQYAugBxACX/2/+j/4D/Y/9D/yH/Cf77/vT+7v7l/s7+pf5x/kb+Kf4N/ez9zv26/Z39X/0N/Mn8pvya/JL8kfyc/K38t/y8/Mf81PzU/MX8s/yk/JH8cvxK/CP8Avvq++D74fve+8T7l/tv+2P7bfty+1v7MPsJ+vX68vr2+wT7H/s7+0r7Uftk+4X7ofuu+7z71Pvm+9/7z/vT+977yfuM+1j7XPuN+7H7n/tY+vP6ffn9+Xj48vhy+AT3qPdP9uX2dPYj9gz2GPYc9gT14PXC9ab1ePU29Oj0mvRR9BHz3POt833zSPMQ8tfynPJa8g/xuPFb8QTwvfCB8DPvtO8A7jDtYOyj7Ajrm+td6z7rKOsU6wLq8OrV6q7qf+pK6hnqAeob6mTqvOsA6ybrOes86y3rFOr86ubqx+qZ6mXqOuoZ6fvp3em+6ZfpZOkp6O7osOhm6Annoec75tjmdOYM5aPlP+Th5ILkIOO541Xi9OKR4ivhxuFn4Q3gsuBW3/3frN9e3wjeqt5J3fHdo91a3RPc0dyW3FvcHNve26bbcds32v7a0tqu2oPaUdov2i/aQ9pP2knaK9nq2YrZL9kA2PvY+tjl2MfYr9id2JDYjdiP2I/Yldis2LfYgNgJ16PXideg17bX39hN2PfZoNo12trbgdva28fbjNtq2z7ayto52ffaJtp72rDa1NsQ22HbsNwF3HjdBN2N3gXedt7o32Hf6eCD4Rrhm+IQ4pfjOePi5H/lF+W75mvnHufL6Gno8+lm6cXqD+o26iTp2uly6RHozOiv6NTpV+o+62Psh+1/7kTu8u+r8H3xU/II8oLy1fMq85j0FfSR9Q71kvYc9pv3Cfdp98X4JviR+Qf5d/nR+hT6T/qO+sr6/fsx+3b7y/wd/GP8p/z0/Ub9lf3j/jn+mv7+/2j/3wBfANcBOwGVAfQCVgK0AxMDegPjBEYEpQUMBXoF2wYfBlMGkQbnB1MHwwgnCIAI3wlNCcAKLgqgCyULsAwfDGkMpgzfDQQNDw0pDYMOIg7pD7kQdhECEVsRsRI3EtwTYROqE9sUIRRxFK4UyxTcFPUVIhVbFYgVnxXEFisW3he3GJQZbxoyGqMapRpbGfYZlRl0GfAbDRwrHJUcTRvbG24aqBlnGDAXZhakFV8T+xOaFL4Wphg2GQsZexnRGgYaEBoPGhYaDhnqGcMZtBmzGbEZrxm2Gb8ZxhnXGfEZ+hnwGgAaQBptGiAZWhioGIYY2hkXGOoYexgbF/EX7RgFGDwYiRjRGPgY/BjzGPgZCxkSGPsY1xjDGL0YqRiDGG0YehiMGIQYbhhtGH8YhRh2GGUYWxhMGDYYJhgbF/0XxheWF4oXlReaF5AXfxdhFy8W+RbcFtoW0ha0Fp8WthbWFqUV+BUbFIsUchSDFHQUbhTJFXEV1hWZFQMUnRR7FEsT7BObE4cTfRNKExsTQhOuE+4TvhNMEuoSpBJbEg0R4RH8ElwS2BMqEw0ScRGcEPoQtBCcEG4QGg/AD34PTw8iDvUO0g6zDooOTw4LDdINrA2NDWENJgzsDMIMpgyEDFAMEwvmC9UL0Au6C4cLSgsaCu4KsApuCloKjQrTCt4KngpRCisKIwoOCeMJxAnUChIKVwp3ClwKGgnYCaMJbQkpCOwIygi8CKgIhQhiCEUIJwgIB+kHugduBxMG2QbWBu8G+wbwBtsGwQaiBoIGbgZiBlIGOwYmBhYGBwX3BeoF3wXPBb4FuAXDBdgF7QX9Bf4F5gW8BY0FXwUpBOYEpAR2BGMEYwRqBGkEWQQ8BCcEJwQ3BEkEVgRbBFoEUwRNBEoERwRCBEUEWARzBIcEkQSbBKoEtAS3BMAE2QT8BRsFMAU8BUEFQgVGBUwFUgVeBXkFnQWyBa0FoAWdBZoFgwVkBV0FeAWjBdIGBgYxBi8F9QW5BbQF3AX1BeMFxQW2BasFjgVmBU4FRgU7BScFFgUNBP0E3wS8BKAEiwRzBFsERQQzBCAEDAP2A94DwQOhA4EDYwNHAysDEQL3AuECzwK/AqsCkgJ5AmUCVAJAAiYCCAHqAcoBqAGDAV0BOQEaAP4A4QDFAKgAiwBtAEoAJQAA/93/uv+W/3L/Tf8p/wT+3P6y/oj+Xv40/gr94/28/ZL9ZP04/Q/84/yy/H/8U/wu/Av76PvE+6D7d/tL+yL6/vrY+q36f/pQ+iH58PnA+ZT5aPk9+Rb49fjU+K34gfhW+DD4DPfm9733lvdx9073LvcO9u72z/aw9pD2bvZJ9if2CPXo9cb1o/WD9Wf1TfUx9RL08fTS9LX0mvR99F/0P/Qh9Abz7vPV87zzpvOV84fzdvNl81jzUPNH8zrzKvMc8xLzC/MG8wHy/fL28u7y5/Lj8uby7fLz8vPy7fLo8ujy7fL38wPzDvMW8x3zJvMy8z/zTfNe83Tzi/Of87TzzvPt9Az0KPRD9GP0h/St9NT0+PUd9UT1bPWR9bT11/X49hT2LPZI9mr2jfav9tL29/ca9z33YveO97v35fgQ+D74bPiU+Lv45/kW+UL5avmT+bz55PoM+jj6ZPqK+q360/r6+x37Pvth+4X7pvvG++j8CPwi/Dz8XfyA/J38tfzR/PH9Dv0k/Tr9VP1w/Y79sP3V/ff+Ff4x/k7+bf6Q/rX+1f7s/wL/IP8//1X/Zv+B/6b/yP/mAAYAKQBIAGgAlADFAO4BDwE5AW0BmwHBAesCGAI6AlUCggLBAvgDHgNPA54D6gQVBDAEVgR2BG4EQQQfBCYEUASFBK0EtAShBJcEsQTTBNIErASPBJgEqwSdBGwEUgSiBXMGbgb9BuwGpgbHB2kIHwh2CEsHqAaqBYgEfQOPApgBtAFYAeADHgRyBS0E0wNWAT7/cf6B/kL+Iv3Z/Yr9XP1D/SL8+fzV/Lv8qvyY/G/8I/vM+477dft9+6j76/wQ++r7lPtY+1P7X/tK+wj6k/nq+Sz4jvgm99X3hPc+9wj2xvZr9hv19fXj9b71iPVj9Vb1R/Uo9QD01vSu9I70fPRt9Ff0QfQv9BXz5vO486HznPOO83DzUPM08xfzAvL+8wbzAfLp8snymPI38aXxEPCu8Ifwe/Bv8GDwU/BI8ELwQfBC8ELwQ/BH8FTwbvCU8L3w3/D+8STxVvGQ8czyDPJP8pHyz/MN81DzlvPa9Bb0TfR/9LT09PU69YH1xvYO9lj2n/bj9yr3d/fD+Az4Vvik+PD5NPl4+cX6GPpo+rT7BPtX+6n7+PxI/JT81v0N/Un9k/3i/ir+av6u/vn/RP+E/7r/8AAoAF0AiACwAOEBGgFRAXsBnQG9AeACAgIgAkACYgKGAqYCwgLhAwYDMwNiA5ADuQPbA/MECgQsBFgEggSgBLwE3QT/BRYFKAVEBXEFoQXIBecGCQY2Bm0GpgbOBtMGuQagBqcG0AcAByUHOQdDB0wHWQdqB3oHhAeMB5gHqwe/B9EH5Af7CBQIKQg2CD8ITghpCIkIngiqCMQJAgleCb4KFgpyCuILZAveDDUMWAxODC4MEAwCDAcMHQw+DGAMegyIDIYMdQxYDEEMNwwzDCEMAgvmC9cLzwvFC7MLmAtuCzgLAwrgCtIK0ArSCtEKzQrMCtcK6gr4CvkK8AriCskKnwp0ClkKTgpGCjcKNwpGClkKZgplClQKMAn9CccJmwl7CWUJVglLCT0JKAkKCOUIwQigCIgIeQhsCFkIPwgsCDIIVwiJCKoIqQiPCG8IWAhPCFIIWAhQCDUIEwgBCAMICggHB/IHzgeZB1sHIgbwBr0GfAY4Bf4FzQWWBVAFCATMBJgEWgQGA58DNwLgAqECcgJCAf8BpQE+ANwAhAAy/9//j/9S/yv/Cv7j/rf+lv6H/of+jf6P/oT+Z/4//h7+Bv3s/cr9rf2e/Yz9XP0K/LH8avw7/Cb8Kvw+/FL8Xfxu/I38rfy5/LP8qPyc/If8ZPw7/BP77PvJ+7X7tvu++7X7lPts+1b7Wvtn+2L7PvsO+uv63fre+u/7E/s8+1D7TvtR+2j7gPuD+3/7jful+6z7nvuS+4j7afs4+yP7SPt/+4n7V/sD+qL6J/mN+O74Z/f695r3P/bb9mP14vWG9W/1ivWg9ZX1dPVR9S71APTJ9I/0UvQP88nzi/NT8xzy5fKy8oHyRPH48aTxTvD68KvwZfAk79DvUu6t7fXtOOx869XrZ+s76zLrI+sH6vDq4OrF6pDqUuok6hnqNep06sPq/usT6xLrF+sm6yTrCOri6sLqpep76kfqGen36drpt+mR6WrpQukV6ODooOhT5/znoedC5t7mdeYM5ajlSOTp5InkJ+PC417i/OKa4jjh1OFz4RLgs+BU3/zfrd9e3wTeot5C3e7do91a3RTc1NyX3FTcDdvM25jbZ9su2vTaxdqe2nDaP9og2iHaNdpE2kjaNtn72ZbZL9j02OjY5tjT2LXYm9iH2HrYdthz2GTYTdhB2DPX/dek12LXYteC15fXudgk2NDZgdoc2rzbWduy26fbbds52vLacdnm2bHZ59o/2nvaqdrs20Hbldvu3GLc69113fbecd7s32jf8eCI4Rnhk+IF4o7jNuPk5IXlHeW/5m7nIefS6HnpD+mQ6f3qT+p36mPqFOmk6Tzo/+j86TfpqepS6y7sLO0v7hzu8e/A8Jnxb/Ij8p7y7vM786L0IvSs9Tb1wfZM9sz3Pvej+AP4YvjG+TL5oPoE+lj6oPrk+yD7UvuE+8b8Gvxs/K/87P0z/YP9zf4O/lj+tf8f/48ACwCUARgBhwHiAjkClQL0A1kDyQQ6BKAE+QVVBbgGEwZYBpEG1gc3B6sIGwh2CMIJFwl/CfMKZArdC2UL6wxKDHkMlAyxDM8M9g1HDd8OqA96EDsQ4xFhEbcSERKUEykTjhOzE88UFRR1FL8U5RUAFSIVRxVlFYMVuBYmFuIX3BjjGcAaTRp/GmUaJRnbGYAZIBkeGesbZhy4HSQcvBwPG1kabBlGGDcXSBYHFFMS9RL/FIoWmRgrGQ0Zlxn8GjEaOBo3GjwaMhoRGe8Z3hnVGcoZxxnQGd4Z7RoFGigaQhpDGjEaFBnPGUwYuhh8GL4ZORl8GWEZHRjtGNoY1BjZGPEZERkhGRoZCxkJGRIZGhkPGPQY2RjKGMAYqxiNGHoYfBiDGIEYhhifGMEYzRi4GJYYdRhXGEEYNxgyGB0X8RfEF6gXmxeOF4EXdBdeFzUXBxbpFt8W1RbDFrkWxxbUFqoWLRWGFQQUyxS4FJ8UkBS4FQkVMxUJFL4UmxSTFGgUDxPHE7QTqRN3EzwTNhNiE4ATZxMxEv8S0BKXEmESTxJ4EtgTTxOYE2YSqhG5EQ4Q2RDbELgQXg/8D70Plg9pDy4O+A7RDqkObg4kDeYNxA2zDZYNXQ0VDNsMuQyeDHUMOwwDC+IL0Au3C4oLVgsvCxAK4AqaCloKPQo9Cj4KNgoyCjkKOgoeCecJsAmWCakJ4AoZCi4KEAnTCZEJVgkmCQII6AjPCLEIkAhqCD4IGQgRCBwIAweeBxkGygbVBwUHGQcGBuoG0QazBpEGdwZkBlEGOQYnBh0GEwYHBf8F+gXzBeoF6QX1BggGGwYnBiEGBAXWBagFfwVQBRIEzwSdBIkEjgSbBJwEhQRgBEUEQwRSBGAEaARuBG8EawRhBFcETgRHBEgEVgRuBIEEjQSXBKYEtgTCBM8E5gUFBSEFNgVBBUYFSAVKBU0FUQVbBXQFmgW8BcgFvQWlBYgFcgVxBY4FtwXXBfMGGwZBBjoF/QW9BbUF3gX+BfoF6QXiBdoFvQWZBYYFgwV2BVkFPAUtBSEFCgTsBNAEtgSdBIQEcARfBEsEMwQcBAYD7wPUA7YDlwN6A1wDPAMcAwAC6wLbAscCrgKSAnwCagJaAkYCLQIRAfMB0gGsAYIBWQE3ARsBAQDnAMwAsACQAGoAQwAd//n/1v+z/5D/bv9N/yv/Bf7c/rH+h/5c/jH+CP3f/bP9h/1e/Tn9Evzj/LH8hvxf/Df8Dfvl+7/7lvtp+z/7G/r2+s36ofp0+kX6Ffnn+bz5kvll+Tn5FPjz+M/4qfiE+GL4QPgb9/T3zfep94j3afdL9yv3C/bs9s72rvaN9m72U/Y29hT17vXJ9an1jfVy9VP1M/US9PL01fS29Jf0dvRW9Dv0JPQM8/Hz1/PD87TzpfOT84PzePNv82PzVPNH8z3zNvMw8y3zK/Mo8yPzHPMX8xXzF/MZ8xbzD/MJ8wnzD/Ma8yfzM/M880PzTPNZ82bzcvOA85LzpfO388zz6fQK9Cn0RfRf9Hz0nfTB9Oj1EfU69WL1h/Wp9cr17fYM9ib2P/Zd9n72nva89t33Avck90X3a/eY98T36/gU+EH4bviW+L346vkZ+UP5afmS+bz54voG+jD6W/qB+qT6yfrw+xT7Nvtb+3/7nvu7+9v7/fwZ/DT8VPx1/JH8qPzC/OH8/P0V/S79Sf1k/X/9oP3G/er+Cf4n/kb+Y/6C/qP+wf7X/uv/CP8p/0P/WP9z/5P/sf/P//QAGQA2AFMAfwC3AOUBCgE0AWYBkAGyAdoCCgIvAksCdgK0AuwDFwNNA5cD1QPyBAQEJgRHBEwEPwRABFoEfgSlBMAEtQR+BEYENwRHBFAEVQR8BMYFAAT5BLAEXQRWBOIF4QbDBxIHAgc5B/kI1glBCRUIhQewBo8FMgPQArECGAIvAusEBwUmBeIFwgR4AlQAPf7z/nL+NP3k/Z79h/2F/Wj9LPzv/M38wfyt/HT8GvvG+5n7mfvC/BT8cfyP/Ev73vuk+637vPue+1L62Pot+XD43viL+E/4C/fJ95H3Rfbd9oP2WvZK9iL14/Ww9ZX1fPVa9S/0/vTM9Kz0pfSj9I70bvRX9EL0HvPy89XzyvO786HzhvNx81nzQ/M+80bzR/M78y3zEPLH8kfxuvFQ8Rbw9/De8MbwrPCS8HvwbfBn8GbwavB08ITwm/C68N3xAPEg8UXxc/Gl8dnyEPJL8obyw/MD80nzkPPU9BX0UvSM9Mn1DfVT9Zb11vYZ9mD2pPbn9zD3gPfN+BH4V/ik+O/5Mvlz+b76Evpl+rT7BPtW+6X79PxJ/J/86f0m/WP9rf3+/kz+lf7h/zH/ff+6/+0AIgBbAJAAtwDZAQQBPQF5AasB0AHuAgoCKAJJAm0CkgKyAswC5AMCAysDWgOKA7QD1wPxBAIEFAQyBF0EhgShBLcE1ATzBQUFDQUgBU0FiwXGBfYGIAZIBnIGngbBBssGuQalBq0G1AcDBycHOgdFB00HVgdgB2YHagdxB38HkQefB6kHtwfLB+MH+QgJCBQIIgg9CGEIfwiOCJoIuAjuCSsJZwmqCgUKewr+C3YLzgv3C/gL5QvRC8sL2Av4DB8MPAxFDEAMNQwsDCUMJAwgDA8L7gvLC7QLrQurC6ILiQteCygK9grWCswKzwrTCtIKzQrMCtYK5QrxCvEK6QrgCtEKugqaCnsKXgpGCj4KMwo7CkwKVwpPCi0J9gm0CXUJQAkYCPkI5AjZCNgI1AjCCJoIZAgyCA4H+wfzB+4H6QfsCAYIOgh0CJgImAh/CGEITQhMCGEIfQiICHoIaghqCG4IVwgdB9gHnQdsBzQG9Qa5BoMGTwYaBeAFnQVNBPoEuASNBGgEMwPkA4YDLQLiAqUCbAIuAeMBiQEiALsAXAAF/7D/Wv8P/tj+rP57/kb+IP4U/h7+MP49/j3+LP4Q/fX93f3B/Z/9g/11/Wb9Qvz+/KT8SfwA+9z74Pv4/Ar8FPws/Fz8ivye/Jr8kvyK/HX8UPwm+/770vul+4f7gvuM+477fPtd+0P7QPtO+1L7OvsP+uv61/rR+tz7Avsz+0z7Rfs9+077Yvtf+1P7Y/uJ+5n7fvtU+zT7F/r/+wr7PPtk+0n67/qH+iL5qPkP+Hb3/Peb9z723PZy9fj1dvUT9PX1DvUt9S31FPTz9M30nvRu9EH0DvPL837zNvL38r3yifJd8i/x7/GZ8T7w7vCo8GbwJO/X723u3O457Zvs/+xZ67rrUOsv6zHrJOsB6ufq2uq56nXqMOoc6kfqk+re6w/rH+sT6wXrDusi6yDq+erC6pnqfepc6jDqBenj6cLpmOlp6UDpH+j76Mroieg/5/TnpedL5uPmeOYS5bLlUuTv5IzkK+PJ42TjAeKj4kXh5OF+4RnguOBa4APfsd9b3v7em94+3e7dpd1d3Rnc3Nye3FPcAdu724jbXNsl2ujastqF2lnaL9oY2hnaJ9o12kHaO9oF2ZvZKtjo2NvY29jJ2KzYkth92GzYY9hf2E/YL9gP1/DXwNd+107XSNda12bXidfy2J7ZUNnn2nTa9Ns/2zrbBtrF2mzZ79l+2WTZo9n52jradNrD2x/bd9vV3Erc091d3ePeZt7m32jf9uCP4R3hleII4pfjQuPx5JDlJ+XD5mznH+fW6IjpKum66jbqkOq06prqTOni6X/pS+lg6a3qCupr6vLryOzh7gXvBO/e8K3xefIs8rDzCPNR8630KvTA9V719PZ99vf3Z/fS+Dr4oPkC+WX5zfo4+pv68vs++3/7tfvo/Cj8ePzI/QT9N/11/cL+C/5G/of+4P9N/8IAPgDIAVQBzQIrAn4C1QM0A58EFQSMBPQFSgWdBfYGTAaXBtwHLgeTCAMIaQi9CQUJVQm5CiwKowsfC6AMEgxWDGwMdgyVDNUNOA3KDoQPSA/4EJURJRGeEgASbBMBE5kT7hPzE/AUJhSHFNsVDRU3FWUViRWdFcUWLRbqF+UY9hntGpQavBpoGecZlBl9GWAZJBkzGgsbgxzOHUYc+hxMG20aaBlwGKgXqRXoE6sSLRJ6FE8WexgQGQIZpBoYGlMaYBpjGmUaVxo6GiAaDRn6GecZ3xnnGfcaDBotGlcaeRp7Gk0Z7BlkGNoYiRidGQAZahmfGaMZmxmaGZQZgRlsGWQZYRlUGUEZOBk6GToZLBkWGP8Y6BjTGMAYtRixGLIYsxiyGLYYyBjnGQEZAhjpGMIYmhh4GGMYWxhXGEUYHxfvF8MXoxePF4cXfxdtF00XLRcUFwIW8BbdFskWuBapFpMWZBYRFaUVQRT3FMgUshS1FMMUwRSlFIMUcxRmFD8UBhPgE9kTzxOlE2wTSBNCE0QTPBMrExES7hLMEr4SyxLqExgTUhNyEzcSiBGtERgQ9BD/EOIQjxA7EAsP7A+2D2cPHQ7rDsEOhg49Df0N2w3NDboNjA1JDQUM1AyxDIsMWQwiC/QL1Qu5C5MLZAs5CxkK+QrKCoYKPAoLCg4KRgqSCrwKpQpZCfwJrAl5CXMJqQoGCkwKRAnrCXkJLAkVCRUJCQjlCL4Inwh3CDwIEAgiCF8IZwf5B00G3AbdBxcHNAchBv8G4Qa/BpkGeAZgBkoGMgYhBhoGFgYPBgkGBwYHBggGEAYfBjAGOwY9BjAGEAXkBboFlwVwBTkE+QTFBKoEqwS5BLwEpAR7BF4EXARuBHwEgASBBIMEgAR1BGgEXQRYBFgEYgR0BIcElQSiBLIEwwTSBN8E8AUFBRsFLgU+BUwFVQVaBVwFXAVgBW8FkAW3BdAFzAWvBZMFkAWyBeQGBQYIBgcGHQZABkYGGQXhBdAF6AYCBgcGBQYIBgIF5wXHBboFuwWvBY0FaAVRBUEFLQURBPUE2wTDBK0EmwSKBHUEXQRGBDEEHQQFA+oDzgOzA5QDcQNJAyQDCALzAuECygKvApYCggJyAmICTgI1AhgB9gHPAaIBdgFRATQBGwEDAOoAzwCwAIwAZQA+ABf/8v/Q/7H/k/91/1T/MP8J/uH+uP6N/mD+Mv4F/df9qv2C/V79Ov0P/OL8uPyQ/GX8N/wL++L7t/uJ+177OfsV+uv6wfqX+mv6PPoP+eb5vvmT+Wf5P/kc+Pr41/i2+Jj4ePhV+DL4D/ft98v3qfeH92T3Qvcj9wX26PbK9q/2lvZ59lX2LPYF9eP1yPWu9ZL1c/VR9S/1DvTt9Mz0rPSO9HX0X/RI9C30EPP58+jz1/PD86/zoPOV84nzffNx82bzW/NU81HzUfNR807zSPNC8zzzOfM48zXzLvMp8ynzMPM680bzU/Ne82fzcfN984rzlvOk87XzyPPa8/D0DPQq9Ef0YPR69Jj0t/TZ9P/1KvVW9Xz1nfW79dr1+vYa9jX2UPZw9pL2sPbL9uv3D/cy91T3evel98738PgW+EP4cfiZ+MD47fka+UH5ZPmM+bb53foB+in6U/p5+pz6wfrp+wz7LvtS+3b7k/uu+8z77vwO/Cr8Sfxp/IX8nPy1/ND86v0F/ST9RP1f/Xf9lf24/dj99v4W/jj+Vv5w/o7+rP7D/tX+6/8G/yL/P/9i/4T/oP+8/+IADAAqAEYAcQCnANYA/QEpAVoBgQGcAcEB9AIkAkoCdgKsAtwDCANAA4UDuQPNA9wD+wQZBCIEKQRGBHMEogTTBPoE8gS1BHYEaQR7BIUElgTSBScFXwVZBRkEsARYBIIFYwaGBzUHXAegCGsJVQm1CXcI9ghTB04FzAQvAw8CxAM6BB4FHAYDBpkGcQUpAvIAqf8l/oT+TP4W/eT9z/3E/Z79Wf0V/On8yfyb/FP8AvvM+8L73vwj/JD89f0G/LH8Tvw0/Ev8OPvd+2X66PpU+bD5MPju+MT4jvhT+Bn3zvdr9xT25/bK9pX2TPYO9eb1w/Wc9W/1NvT49NP00/Tb9Mj0pPSO9IH0YPQp8/nz2/PB86PzjfOD83zzc/Nw83PzcfNo82PzW/Mz8t3ybvIK8b/xh/FZ8S/xBPDX8LLwmvCN8Inwj/Ci8Lfwy/Dh8P3xH/FD8WnxlfHD8fLyIvJU8ofyvvL+80bzj/PU9Bj0W/Sd9N71IPVj9aP14vYm9mz2rfbr9zH3gPfL+Az4TviZ+OX5J/lk+aj5+PpL+p/69vtL+5z76fw8/JP85f0r/W79tv4E/lD+m/7s/z//i//J//4ANwB1AK4A2AD4AR4BTwGGAbkB4QH/AhcCMQJUAn0CowLBAtkC8QMRAzwDbQObA78D2APpA/YEBQQhBEoEcwSQBKgExwTpBPsE/QUGBSwFbAWzBfMGJAZGBl4GdgaQBqIGpgapBr4G5wcSBzAHPwdFB0cHSAdHB0YHRwdPB14Hbgd4B4AHkQepB8MH2QfrB/cIBAgbCD8IZQiACI4Inwi7CNwJAgkxCXMJygozCqcLFQtqC54LtAu1C64LrwvGC+4MEAwdDBkMFAwVDBcMFwwRC/wL1QupC44LiwuRC4wLcgtECxAK4wrICsMKyArMCskKxwrLCtUK3wrjCt8K2ArTCs4KxQq0CpsKegpYCj8KLgooCicKGwn1CbQJZQkZCNUImghkCDYIGggYCCsIRAhLCDUICgfYB6wHjgeCB4kHnAe4B+MIHwhaCHgIdAhjCFYIVAheCHQIkAijCKoItAjGCMAIfggJB5cHUActBwgGzgaGBkIGBwXTBZ0FXAUPBMMEhQRXBCwD9gO0A2wDIgLaApYCVAISAckBcgELAJwANv/d/4b/Kf7P/of+Tv4Y/eP9vv25/cz95v32/fn98P3c/cD9of2B/WP9Tf1B/TX9Hfzw/Kf8Svvv+7n7svvE+8/71Pvv/Cb8Wfxt/Gn8aPxs/GD8PfwP++P7uPuQ+3X7b/tz+3H7X/tD+yv7I/ss+zH7I/sF+un61/rK+sr65/sU+zD7K/sj+y37OPsq+xv7NPtp+3v7TvsK+uL62vrj+v77Ivsm+ub6c/oB+Z35L/ir+Cj3ufdU9uz2iPYr9cb1T/Tp9Lv0xfTb9Nr0wvSb9Gn0MfQA89rzsPNy8yby3fKc8mLyMfIG8dbxj/E18N7wmvBj8Crv5O+E7vruTe2h7Rnsquwx66/rT+su6y/rIusB6ufq1+qv6mPqJ+o36pHq9usv6zTrHusJ6wTrEusi6xfq6Oqp6nnqW+pB6h3p9OnP6ajpeulH6Rvo+ejW6Kboaugr5+znpudN5uPmeOYY5bzlWeTv5IrkLOPM42bi/+Ki4knh7OGI4STgxuBr4BLfu99h3wHen95G3ffdrd1k3SHc5tyo3FjcANu224LbVtsf2t7aodpx2knaKtoY2hXaGNoj2jfaPNoK2ZvZItjf2NTY1tjC2KPYith02FzYS9hH2D/YKNgJ1+zXxdeK10rXIdcU1xvXRtet2EjY69l42fHaVtqR2pHaY9oc2b7ZWNkY2SPZa9m72f3aRNqd2v3bWtu/3Drcwd1J3czeTN7M31Lf5+CG4Rfhk+IQ4qfjUeP45JLlKOXD5mnnH+fg6JrpPenO6k/qrurR6rjqduoe6cjpounP6jbqi+qu6uTrjOyz7gXvJ/AK8M/xjfI78sXzKPN188r0QPTa9YX2Jvay9yv3mfgD+G341fk5+Zr6Afpw+t/7RPud++v8Lfxl/J/85P0s/WP9jf3B/gf+Tf6G/sH/Ff+D//kAdAD7AYoCCgJuAsADFQN4A+kEZATdBUQFmQXlBjUGiAbZBy4HjQfzCFUIqwj0CTkJhwnoCl0K3QtcC8wMHAxEDFAMZgynDR4Nwg6CDz4P1hBQEMkRVBHdElcS3ROJFC4UfhRpFEMUYRTAFR8VXhWQFccV+BYhFm0XDBf1GO4ZxhpnGrkalBoAGWIZKxlcGYsZfBmAGg4bFhwNHIwckBwrG1oaVBmNGQ4YHRYQE3ARxBIZFAEWOBfhGPMZrBolGmUahBqWGpcagRpjGlAaPxonGgsZ/Bn/GhAaMBpcGooaqBqjGm4aAhl6GQwY5hkMGVIZjRmwGcgZ3BniGdAZsBmWGY0ZiRl/GXQZcBltGV4ZRBkvGSMZEhjzGNYY0BjgGPAY8hjuGPUZCRkcGR8ZDxjxGM4YrRiWGIwYiRiDGHMYUxgmF/UXzRe2F6oXmheBF2gXVxdIFzIXFxb5FtQWphaCFn4WihZ0FhkVkxUgFOAUyRTBFLgUrRScFIAUWRQvFBEUBxQPFBQUARPWE6ITeBNeE1ETThNGEysTCBL9ExoTQhNMEzYTIhMUEt8SXxG4ET0RFBEOEOwQqRBxEFcQPQ/8D5wPQw8GDtUOng5eDiMN+Q3eDcgNqQ16DT4NAAzIDJkMbQxADBUL7gvOC6wLgwtWCzQLJwsaCusKlApGCkkKsQs2C28LLwqjCh0JwwmOCX8JsQoiCo4KlwonCYoJJgkZCS4JJAj2CMkIrQiFCEIIDggnCHsIoQhGB5QHCgbyByMHSgdCByAG+QbQBqMGfQZjBk0GNQYgBhcGFQYWBhUGEwYUBhwGLQZBBk4GTwZEBi4GDQXnBcUFqAWHBVgFIATrBMcEvQTGBMsEtwSNBGsEaQR/BJMEmQSYBJYEkQSGBHgEbwRsBG8EdgSEBJMEoQSwBMEE1ATjBPAE/AUKBRcFJwU8BVUFagV0BXUFcwVyBXoFkwW6BdwF4AXHBbAFuQXnBhkGLwYkBhUGIgZIBmIGVgYvBhIGDwYcBicGMQY3Bi4GEwX1BecF5QXXBbYFjwVzBV8FSQUtBRME/AToBNQEwgSvBJsEhgRwBFsERQQsBBMD+gPiA8YDowN6A1ADLAMRAvwC5wLOArMCmwKKAnwCawJTAjUCEQHpAb4BkwFtAU4BMwEZAQEA6gDPALEAjQBmAD0AF//1/9j/vP+d/3z/Wf80/w/+6v7B/pP+Y/4z/gP91P2p/YL9Xf00/Qn83vy0/Ij8W/wx/Aj73Puu+4T7X/s4+w364vq6+pH6Zfo5+hD56vnB+Zb5b/lL+Sr5Cvjs+M/4r/iO+G/4Uvgy+A/36vfD95z3d/dV9zf3Gfb89uH2xvan9oH2WvY19hb1+/Xi9cj1q/WL9Wn1RfUi9QL05fTK9LL0nPSG9Gv0TvQ09B70C/P0893zyvO787DzpfOa843zgPN283HzcPNv827zavNk81zzV/NV81LzTvNL803zUvNb82fzdPOA84rzk/Of86vzuPPH89vz8PQD9Bj0MPRK9GH0efSU9LP00vTx9Rb1QfVu9ZT1svXO9ev2CvYp9kb2Y/aD9qT2wfbb9vr3Hfc/92H3h/ew99X39fgZ+Ej4d/ig+Mb48vkc+UD5YPmG+a/51vn7+iT6Tvpz+pX6vPrk+wf7JvtH+2r7iPuj+8D74vwC/B/8PPxa/Hb8j/yq/MX83fz3/Rj9O/1X/XD9jf2t/cj94v4C/iX+Qv5Z/nX+lv6x/sT+1P7o/wH/If9K/3P/kP+q/8//+wAfAD0AZgCYAMMA6AEVAUoBcgGNAa4B4QIWAkMCcQKiAsoC7gMfA1oDhQOYA60D0APrA/YEBgQuBGYEpQTxBTIFNwUCBNgE5gUGBQ4FFwVIBYIFlQWHBWoFHQShBH0FNAZyB1IHkAfXCLAJqwoFCbEJLwikB7EGMASoA84D3wSUBYEGXwcGB0IGuAUqAtwAmP8k/pr+g/5t/kL+Gv34/cj9iv1K/Q/80PyG/D38Cvv7/Az8OPyO/Q79ef1+/Sj84/zy/Q38wvwU+2r69/qL+gH5gfk5+R35BPjl+MT4lPhP+Aj3z/eV90j29Pat9mz2K/Xw9b31f/U69Q71DfUV9QH03vTO9MX0nPRP9ATz0/Oy85PzgvOF847zkfOR85DzhvN182vzZ/NZ8zLy9vKy8mzyJvHj8aDxWPEU8OTwy/C+8Ljwv/DU8Ozw/fEN8SXxRPFn8Y7xufHn8hPyP/Jq8pTyw/L/80jzk/Pa9B70Y/Sm9Oj1KfVq9ar17fY29oD2wfb89z73iPfP+A/4T/iY+OP5I/lc+Zr55Po2+oz65fs++4/72/wq/H380f0d/WX9rP30/jz+iP7a/y//fv/DAAEAQACCAL8A7wEUATcBXwGLAbkB4QIAAhgCMwJXAoACpALCAt4C/QMgA0oDeAOhA74DzgPaA+gD+AQQBDEEVwR4BJcEvATjBPsFAQUHBSQFWwWeBd4GEAYvBj0GRgZXBm4GhAadBsEG7gcXBzEHPAc7BzIHJQcbBxgHHAcnBzcHRQdPB10HdAeSB64HxAfXB+gH+AgMCCoITQhsCIAIkQimCMAI3wkECTMJawmvCgQKZwrNCyYLaguRC50LoQu1C94MBAwSDAoMBAwFDAgMAwv2C94LtguKC28Lbwt5C3MLUwshCu4KyAq1CrQKugq+Cr4KwwrOCtYK0wrICr4Kuwq8CrwKuAqtCpgKewpbCh8KCgn1CdgJpglWCO8IiAgyB+4HrwdwBz0HJAcwB1oHjge3B8kHxAepB3wHTgc3Bz8HWweBB7QH9ggwCEcIQghBCFcIdAiACH4IfgiKCKYIzgjsCNUIcAfbB1cHDwb1BtsGpgZYBgUFuwV/BUoFFATZBKEEagQxA/QDvAONA1oDGALIAngCNAH3AbQBXQDvAHgACf+p/07+7P6M/j3+Af3M/Zz9gP2D/Z39tv3A/b/9tv2l/Yj9Yf0+/Sf9Hf0Z/RL9Bfzs/Lb8XPv0+6j7jvuR+5L7kfuo+9z8DPwe/CD8L/xJ/E78LPv2+8T7oPuM+4f7i/uL+3r7XPs5+x37DvsM+wz7APrr+tn6zPq++rb6xvrr+wf7C/sI+w77Cvrs+tX68vst+0D7C/rD+qb6vPrf+vP68frK+nX6Bvme+UP44fhz+AD3jfcR9pX2NfXy9az1TPTq9LH0p/Sr9Jz0dPQ48/DzqfN281nzPfMP8tDyjvJO8hTx4fGy8XrxLfDZ8JLwXvAt7+3vle8f7n7tvu0O7JbsTuwG66frUOsm6yHrG+sG6u7q0+qf6lnqNepl6tPrMutN6zLrD+sC6wXrDesM6vfqyuqQ6l/qPuom6gnp4um26YnpWekn6Pno0eip6HroROgP59vnm+dE5t3meOYf5cTlXeTv5IrkLuPP42Xi++Kc4kfh7uGR4TTg3OCE4Cnfzd9y3xTetd5b3grdvd1y3S7c8dyw3GDcCdvA24rbWdsd2trandpt2kjaLdob2g3aBNoP2jDaRNoY2aTZJtjg2NXY1di82JjYfdhm2ErYMtgq2CjYHNgH1/TX1teW1znW5Na71sbW+9dW183YTdjF2S/Zhtm72cTZotlf2Q/Yz9jE2PTZQtmL2c/aINp92tzbPNut3DDctt003azeJd6i3y3fyuBu4QHhhuIS4rPjWeP15IzlJuXF5m3nJ+fu6KbpPenA6jzqnerH6r3qlupa6hXp++pD6s7rLuso6xbrheyd7f7vO/A48Q3xyfJj8tnzN/OM8+f0XvT79av2U/bi91/30/g++KP5Bvlq+c/6Ofqr+x/7jPvz/Fb8rPzq/Rn9Tv2O/cj99P4g/lr+l/7K/v//Tf+3AC0ApwEsAboCPQKlAvoDUQO4BC4ErQUoBZAF4gYrBnQGwgcWB3YH4AhICJ8I5gkoCWwJuwodCpkLIgueC/YMIww1DE4Migz6DaEObA84D9gQOxCDEOsRhxI1EtATaRQZFL0VBhTgFKQUthUdFY8V2BYGFj0WgBbPF0kYBxjoGZwZ/BogGiIZ7xl9GRAZBxlhGbkZxhm4GeEaRRqxGxAbYBtlGtsZ/BlcGQgYLxYgE3ERrRHVE4wVtReJGNgZsRopGmkamxrDGsYapBqBGnMaahpUGjcaJBokGjsaaRqhGssa2BrHGpkaShnoGZkZeRmCGZwZuBnZGfsaChn7GdkZuhmuGbAZrxmlGZcZjBl+GWYZThlDGUMZOhkeGQAY+xkKGRUZEBkMGRkZLRk1GScZCxjpGMYYqxidGJsYmRiRGIQYcxhWGC8YCRfsF9QXtReTF34XdxdvF1oXOhcXFuoWtBaKFocWmBaFFikVnxUpFOsU1xTNFMQUwhS9FJ8UZRQuFCcUUhSCFIUUUhQLE88TqBOQE4QTgBNyE04TKhMwE2YTnROZE1kTEBLlEsESdRH+EY8RSxEhEO8QtRCPEIMQbhAvD9APdQ8vDvkOyg6eDnEOPg4IDdwNwA2jDXQNLwzlDKkMgAxgDD0MEwvpC8MLnQt3C2MLbQt/C2ULCgqmCpkLBQuaC9ULfArQCj0J7Qm/CZ4JrQoMCogKsgpZCb0JUQk8CUsJOwkHCNYIugiWCFYIGwgeCF4IjQhbB80HQgcKByUHUQdcB0IHFwbnBrcGjQZwBloGQQYnBhcGGAYjBikGKAYlBi0GPwZRBloGVQZDBicGBgXoBdAFugWdBXYFRQURBOUEzwTSBN0E0gSsBIMEdgSHBKIEsASxBK0EpgSaBIwEggR/BIIEigSUBKAEqgS3BMoE4QT1BQQFDwUXBR0FJgU6BVgFdQWGBYsFjAWMBZAFowXIBewF9QXhBckFzAXqBhAGKAYvBjIGQQZhBoMGjAZvBkMGKQYtBkQGWgZgBlQGOQYcBgcF+QXlBccFpgWNBXoFZgVOBTUFIAUNBPoE5QTRBL0EqgSWBIAEZgRLBDEEGgQEA+oDzAOmA30DVQMzAxgDAALnAssCswKhApUChgJuAk0CKQIEAd0BtgGRAW4BTgEyARkBAwDtANUAuACUAGwARAAiAAT/5v/F/6D/e/9X/zX/E/7u/sP+lP5l/jf+B/3Y/az9gv1Z/Sz8/vzQ/KT8e/xW/DD8BvvZ+7D7ivti+zT7B/rg+rn6j/pj+jr6FPnt+cP5nPl6+Vr5Pfkg+QH44Pi/+KP4ifhs+Er4JPf699H3qveI92f3Rvcn9wr27fbL9qf2g/Zj9kb2K/YQ9fb12vW99Zz1ePVV9Tb1HPUE9Ov00/S79KL0hfRp9E/0OfQh9Arz9PPi89XzzPPD87bzqPOb85TzkPOM84rzh/OC83rzdPNy83Hzb/Nv83LzePN/84rzmPOj86vzs/O/88zz2fPq9AD0F/Qq9Dz0UPRm9Hv0kvSu9M306vUG9Sf1UfV89aL1wvXf9fz2HPY89lr2d/aV9rT20fbs9wr3K/dM9273kve499v3+/gh+FH4gfip+M/4+Pkg+UL5YfmF+a350vn3+iD6Sfps+o36tPrd+wD7Hfs8+1/7f/ua+7j72vv6/Bb8MPxL/GX8gPyg/L781fzs/Qv9LP1J/WL9gP2h/b391f3y/hP+Lf5C/lz+ff6a/q/+w/7Z/u//C/8y/13/ff+Y/7v/5gANAC8AWACGAK4A0AD+ATYBZgGHAakB1wIHAjQCZAKVAroC1gL3AyADPwNUA3MDngPAA9MD6gQUBE4EmwUBBVMFWQUjBQoFLwVYBVcFXAWKBa4FmwWCBY0FcwUBBLoFTgaAB1gHhQfJCL0J2go+CeMJXwjTB9YGYAUhBMIFOwYQBuMHjAfeB48GbASEAkMAUP8p/sv+x/64/oz+XP4x/gH9x/2E/Tb84PyO/Ff8RfxQ/Gb8kfzs/XX94v3j/ZL9Zv2O/aL9J/xA+4D7JPrc+lj5uflX+Ub5Xvl6+Yz5j/l6+Uv5A/ik+D734/eL9yD2qPZF9gX1y/WI9Vn1UfVP9TL1DvUC9Pj0vvRT8+nzpvOA82jzZPN184vzl/Oa85bzh/Nu81PzQfM38y/zJfMS8u3yt/Jw8hbxrvFM8Q7w9/Dy8PPw/PEQ8STxMPE98VPxb/GN8bHx3vIN8jnyYfKH8qzy1PMM81TzovPr9C70cPSy9PH1MPVv9bD19/ZE9pH21vcS91D3lffZ+Bn4Wvij+Or5Kvli+aD56Po4+oz64/s4+4j71fwj/HL8wv0Q/Vn9oP3n/jD+fP7N/yH/dP/BAAgASwCMAMgA+wElAUoBbQGRAbkB4QIEAiECPwJlAo0CrwLMAu4DEwM4A1sDgAOiA7gDxAPSA+cD+wQNBCEEQARkBIkEsQTZBPcFBwUWBTMFYQWVBcgF9AYTBiIGLAY8BlUGcgaUBr0G6wcSBysHNQcuBxoHAQbxBvAG+gcIBxgHJQcwB0AHWgd4B5IHpge8B9YH7wgHCCEIPAhUCGUIdwiNCKcIwwjkCQcJLglaCZIJ3Ao1CpUK9QtEC3cLlwu8C+wMEAwUDAML9wv6C/wL8gvbC7wLlAttC1ULVQtdC1QLMwsCCtMKsAqfCpwKoAqiCqYKsQrACsIKsgqcCpMKnAqoCqoKnAqGCmsKUAo3CccJqgmGCVQJCgihCCcHtgddBxgG2gagBngGcAaLBsIHBgdLB4gHrwewB4UHSQcfBxkHKQdGB3UHuQf0CAoICwglCGYIowiuCIgIYQhfCIkIwwjiCLoIRAetBzAG6QbGBqUGcgYsBdoFjAVJBREE3wSzBIwEWwQWA8gDjANoA0QDAwKrAlgCGwHnAaMBQwDMAEv/0/9o/wT+pP5K/gH9yP2Z/XP9Yf1q/YL9lP2V/Yz9hP14/V39Nf0Q/P/9Af0H/QX8/fzr/L38Zvv3+5z7cPtk+1r7Uvti+437tvvJ+9j7/Pwr/Dr8F/vZ+6T7i/uM+5/7tPu4+6D7dvtJ+yP7Cfr5+u764PrN+r36svqn+p/6qPrD+t366/ry+vb65vq8+p36svrp+v760/qY+o36tPre+t/6s/po+hD5uPll+RH4s/hQ9+j3a/bV9kL13fWp9Xv1NPTj9K70mvSO9G30L/Pa83rzKvL78uvy3/LE8pTyVvIU8dXxnvFo8Sjw2vCS8F/wN+/976HvK+6k7gftVuyx7EHsCOvc65nrSesV6wvrEOsK6u/qwuqH6lTqUeqT6vbrO+s/6x/rBusC6wHq8ura6r3qmOpr6j3qHeoK6fXp0emg6WvpOekI6Njoqeh86E3oG+fp57fnfOcu5tPmeeYl5cvlZOT25JHkM+PS42fi/uKg4krh8+Gb4Ubg9OCc4D/f4t+K3zDe0t523iLd092G3T7c+ty03GbcF9vT25vbYtsg2t7apNp32lLaNNoa2gDZ79n92i3aUdou2bzZOdjs2NrY09i22I7YcNhZ2DzYINgS2A3YAtfy1+XXzteM1xrWqdZy1oPWv9cD10nXl9fv2EnYl9jQ2OvY4Ni12ILYbNiL2NHZHtll2bDaCdpo2sPbKNuk3C3crd0d3Yfd+t573w/fs+BW4OjhdOIO4rfjW+Px5IjlLOXU5n/nOOf76KfpK+md6hLqd+qu6r3quuqe6mjqVeqy62Hr2evC63frouyE7c7vHfBP8V/yMfKv8vLzMfOH8/X0fPUk9dv2gfcL94f4Avh1+Nz5O/md+gP6cPrh+1T7xPw3/K/9HP1j/Yj9rP3m/iz+Zf6R/r3+7f8Y/0b/i//tAF8A1wFZAeUCaQLVAy4DhgPtBGYE6gVoBdEGIwZqBrAG+QdJB6gIFwiFCN4JJAlmCbAKBgpuCvALfAvxDDIMRgxUDIcM7g2GDkIPDg/HEEIQexClEQwRxBKYE04T6BSBFQwVSRUpFPcVFBWKFgwWVxZ7FqoW/BdrF/sYsBlcGbEZmxlZGTQZLRkaGQMZGxlsGbwZ2BnNGbkZlxluGXYZ0BoqGhAZixkSGLsX5BYEE5cR3xG5EwAU9hb0GJQZohonGmkaqRrgGuYavhqYGo8ajhp/GmYaVBpWGnYasRrvGw4bBRrlGsEalRpaGhsZ7BnTGdIZ6xoWGjkaOxoeGf0Z7RnqGeYZ1xm/GaMZixl2GWIZUhlNGU8ZSxk7GSoZJxkrGSYZGRkXGSoZQRlHGTgZHBj4GNEYsBieGJUYihh8GHMYcBhkGEsYKxgPF/AXzBepF5QXjBeGF3YXXRc7FxAW4ha/FqwWkhZUFe4VfhUpFPwU5xTXFMsUyBTHFLEUgxRgFHkUzRUXFRIUthQ/E+gTvxOyE68TrBOdE3sTXRNjE5UTxRO+E3kTJhL2EuISuRJfEe4RjxFIEQUQxBCXEIUQdhBLEAQPsw9qDzMPFg8KDvQOug5kDhQN4g3EDZoNVg0GDMUMnwyIDGoMOgwAC8kLnwuEC4ULpQvJC7kLXgrrCr8LBwuAC7QLaArTClwKJQn8Cb0JkQm7CikKdwpVCeMJfQlWCVEJPwkWCOoIyAinCHcIPwgcCCUIRghCB/IHdgcfBxkHRgdkB1UHKgb6BswGnwZ7BmMGSwYuBhsGHwYzBkEGPgY2BjgGQwZMBlAGTQY/BiYGCAXxBeMF0gW3BZMFaQU5BQgE6AToBPwFBATqBLsEmQSZBK8ExQTNBMoEwgS2BKcEmgSSBJIEmQSiBKsEsgS7BM0E6AUDBRYFHwUjBSMFJQUyBU0FbgWIBZgFnwWhBaQFsAXNBe4F/QXzBeEF1gXbBe8GEgY8BlsGagZ4Bo0GlQZ2BjwGEwYaBkMGZwZyBmcGUAY1BhgF/AXjBcsFtAWjBZgFjAV5BWEFSQU0BSEFDQT3BOEEzAS4BKEEiARtBFIEOAQeBAUD6QPIA6IDeQNTAzIDFgL7AuICzAK9ArICogKHAmYCRAIkAgMB4AG7AZcBcwFSATcBIAEKAPQA2wC9AJkAcgBNACwAC//n/8H/m/91/1P/Mv8P/ub+uf6O/mX+Of4L/dz9sP2F/Vj9J/z2/Mn8ovyB/F78NfwJ+9/7uPuN+1/7MfsI+uD6t/qM+mT6PvoX+e75x/mk+Yb5aflM+Sv5Cfjn+Mn4r/iU+HX4Ufgo9//32fe395X3cvdQ9zL3FPby9tD2sPaU9nf2WfY79h/2A/Xm9cf1pPWB9WP1SvUz9Rn0/vTk9Mr0r/ST9Hj0YPRJ9DL0HPQI8/rz8fPr8+Lz1vPJ877ztvOw86vzp/Oh85nzk/OR84/zj/OR85bzm/Oh86vzt/PA88bzzvPd8+3z/PQN9CP0OvRN9Fz0bvSC9Jf0rvTJ9OX0//UY9Tf1XPWE9an1y/Xr9gr2KvZM9m32ifal9sT24/cA9xz3O/dc9333n/fC9+T4Bfgs+Fr4iPiw+NX4+/kh+UL5YvmF+av5zvny+hv6Q/pl+oT6qvrT+vb7FPsz+1b7dfuS+7D70fvw/Az8Jvw//Ff8cvyU/LX8zvzj/P/9H/06/VL9b/2R/bD9yv3n/gT+HP4w/kj+ZP59/pL+rv7M/ub+/P8c/0X/af+G/6j/0v/6AB0ARQByAJgAuwDnASEBVwGBAakB1AH9AiUCVQKHAqsCvgLRAuoDAgMZAz8DcgOcA7oD2gQFBDoEigT1BUQFPAUABPIFJQVJBT0FRAWEBa4FjwVyBZUFowVFBPcFdQaHBzcHRweSCKcJ3ApGCfYJiwkKB/sGhQWOBasGewdOB+EINAgWBzQFiQN5AYgAG/9W/xP/Av7o/sH+nv59/k7+Cf21/Vv9Afy5/Jb8mPyt/MT86f04/bD+C/4F/b39nf3G/c39RPxc+677bPsx+pj5zvlL+Uf5lvny+jv6bfqD+mv6Gfmh+S34z/hm98v3GfaQ9kf2E/XW9af1l/WH9V71NfUo9Rr00fRK88DzYvMv8xzzKPNM827zfvOD84PzefNe8zXzC/Lu8ury/fMX8yDzEPLe8oXyCfGM8TfxFvEW8SfxQPFY8WTxafFy8YbxnfG18djyB/I48mHyhvKs8tDy9vMo823zuvQE9Ef0ifTJ9QT1PvV69bz2AvZN9pn24fch91/3n/fg+CL4Z/iv+PX5Nflx+bL5+/pJ+pv67fs8+4r72fwq/Hn8xP0N/Vb9n/3p/jX+g/7R/yH/c//FABIAVwCVAM0A/wEsAVQBdgGYAb8B6QIRAjMCVQJ+AqQCwgLeAwIDKwNNA2YDgAOaA6wDtwPKA+kEAwQQBBsENARZBIEEpwTLBOwFBgUhBUUFbwWXBboF3AX7BhIGJgY+BlsGeQaaBsAG6AcJBx0HJQceBwgG7QbdBt4G6Qb3BwUHEQcbByoHQAdaB3AHgweaB7kH2wf5CBQIKwg5CEMITghgCHYIjgiqCMoI7wkXCUQJdQmwCfwKXQrGCyQLcQu2C/IMEwwNC/ML5wvxC/oL6wvHC50LdAtRCzsLNQs5CzMLGQryCscKogqGCnUKbQprCnIKggqQCo0KeAplCmoKhAqZCpIKcApDChoJ+gngCTgJDgjjCLIIbggRB6UHPwbrBqYGbAZCBjEGPwZlBp0G4wc1B4wHzQfdB7QHbgc1BxoHEwcbBz8HfQe2B88H4AgVCHQIwwjNCJcIWghLCHAIpwi6CIYIEQeLBx0G0gabBmkGNwYABb8FewU8BQMEzwSjBH4ETgQBA6YDXwM4AxMC0gJ+AjcCCgHeAZMBIwCeABX/lP8e/rf+Xf4Q/c/9mv1x/Vb9Tf1U/WL9aP1i/Vr9Wf1X/UT9HPzz/OH86Pz1/Pf87PzW/Kj8WPvz+5z7a/tV+0P7Nfs9+137f/uU+6/73/wU/CT8APvC+5L7f/uH+6H7v/vL+7f7ivtX+yv7CPrv+uD61PrF+rT6p/qe+pf6mfqo+rz6zfrY+tv6x/qe+nz6hvqv+sj6svqJ+n/6n/rC+rn6ePoZ+b75dfkw+Nv4evgf98f3Uvay9gz1lPVW9Sz0+PTC9J70jfR69FD0BvOh8zby5fK+8rfysvKc8m/yLvHj8ZzxYfEq8Ojwn/Bi8DrwD+++7z3up+4e7aLtIuye7DDr6+u864LrPOsH6vvrB+sF6uHqp+py6mDqfurA6wTrJusi6w/rB+sG6vXq0Oql6oHqYuo96hfp/en06ejpyOmR6VTpHejr6LjohuhX6Cfn8ue854jnUucR5sXmdeYk5czlaeUA5JrkN+PS42vjCeKw4ljh/uGm4VThA+Cs4FDf9t+h30ne696N3jfd6d2c3U/dA9y43G3cJ9vp26vbaNsi2uTasNqE2lvaN9oW2fXZ4Nnx2inaV9o+2dLZTtj42NvYztiz2IzYbNhR2DTYF9gE1/bX5NfR18fXtdd41wbWjtZR1mLWmdbG1uDXANcz13XXt9fy2CDYNtgw2CTYM9hp2LXY/9lJ2aLaB9po2sTbLduw3Dncrt0O3W/d5N5t3wrfsOBN4NnhZeIH4rbjWePv5IvlOeXo5pTnR+f/6J7pFumD6fzqaeqt6tLq7err6sDqresR69vscOxh6/br3Oxq7XjuyPA+8avytfMp8z3zVfOj9B30tfVp9iX2xPc796b4Hfib+RD5d/nY+jv6o/sS+4P79fxx/Pr9e/3R/fT+DP5A/ov+z/7//yX/Tf9z/5z/2gAyAJsBDAGIAg8ClAMGA2UDvQQhBJkFHwWhBgsGXAajBuoHMQd5B84IOQisCRAJYAmrCf8KYArPC1EL1wxCDHkMiwymDPENcw4ZDtEPhxAgEIEQqxDVEUISBRLnE6UULxSmFRMVVBVWFUsVfBX0Fm8WsxbRFwEXXRfTGFMY1Rk5GUgY+xicGIEYshj1GSAZRBl2GawZ1BnoGdQZdxjkGH0YlxkNGWgZYxkZGJkXnhX3E/sSdRIAErQURBY9GBYZZRoUGmwatBrwGv4a4RrCGrsavBqvGpcahBqLGrQa9hsyG0MbKBr+Gt8axxqjGm8aORoUGgwaJRpMGmQaXhpGGjYaLhojGg0Z7xnPGbAZlRmEGXsZdBlqGWAZWBlQGUsZShlFGTgZKhksGUEZWBlhGVkZRBkiGPcY0BizGJwYghhuGGcYZhhbGEIYKBgVGAIX6BfKF7EXoBeWF5IXhhdnFzkXERb1Fs0WfBYMFaMVXRUzFRQU+RTiFM8UwRS5FKwUlhSMFLQVFRVtFW0VARRqE/gTyhPIE9AT0BPEE7ATnBOYE6kTvhO1E4ETPhMVEwgS7BKdEisRwhF2ETEQ5RChEHsQcBBfEDEP6Q+eD28Pbg+HD4gPSQ7WDmAOEA3fDbINdA0wDPcM1Ay+DJ4MaAwfC9ULnQuGC5ULvgvfC8wLeQsPCtEK5AsnC0sLIQrHCoIKZgpECfIJlwmCCcYKFwogCdsJgAlDCSsJIwkWCPoI1Qi3CJ0IbwgoB/YIAggqCBcHqwcyBwkHMgdcB1MHKgb/BtYGpwZ9BmIGTwY2BiQGKwZCBlAGSQY+BjwGPgY9BjsGPgY8Bi0GFQYFBfwF7gXTBbEFiwVeBS0FBgUBBRoFNAUuBQME0QS5BMIE2QTpBOoE4gTWBMYEtgSqBKQEpgStBLYEuwTBBNAE6wUJBR0FJQUlBSMFIQUoBUAFYwWGBZ0FqQWsBasFsAXEBeEF+QYFBgQF+gXrBewGDgZHBnEGeQZyBnkGfwZiBiUF+QYDBjUGYQZxBmwGXgZIBicGBgXtBdsFzQXDBb4FuQWrBZIFdQVcBUsFOgUlBQsE8ATXBMAEqgSSBHUEVgQ4BBwEAgPjA78DmANzA1EDMwMZAwMC8QLjAtQCvwKhAoACYQJFAigCCAHmAcEBnQF7AV0BQgEoARAA+gDgAL8AlwBuAEkAJgAD/97/t/+R/2z/Sv8n/v7+0/6r/oj+ZP47/g/94/26/ZD9Yf0v/P/81fyy/I78Zvw5/A374vu2+4j7Wfsu+wT62vqy+oz6Z/pA+hf58PnN+a35j/lx+VD5LfkL+Ov4zviy+JX4dPhN+CX4Affi98D3m/d591v3PPcc9vz24PbE9qb2hvZm9kj2KvYM9e31y/Wp9Yr1cfVa9UD1IvUG9Oz00vS49J70hvRv9Fn0RPQw9CH0GPQV9BH0B/P68+zz4fPY89PzzfPF87zztfOy87Dzr/Ox87XzuvO+88Xz0PPY893z6PP69A70H/Qv9EP0WvRt9Hz0jvSj9Ln0z/Tn9P/1FvUv9U31b/WR9bT11/X69hn2OPZa9nv2mPaz9tP29fcT9y33S/ds9473rvfP9/D4Efg1+F/4iviy+Nb4+/ke+T75XvmB+ab5yfnt+hX6Pfpf+n/6ovrI+uv7Cvss+077bPuH+6X7xPvi+/78G/w2/E78Z/yG/Kf8wPzW/PT9Fv0x/UX9Xv1+/Z/9u/3X/fP+C/4g/jn+Uf5j/nX+kv63/tX+6/8I/y//Vf91/5n/xP/rAA0AMgBcAIQAqADUAQwBRAFzAaIB0AH5Ah8CSwJ3ApMCnQKpAsAC2wL4AyIDVQOCA6YDywP0BB8EYAS3BPIE4QSxBL0FAQUiBQoFFAVlBaMFjgV3BaIFtgVcBQsFeAZkBu0G+AdmCJ0JzwopCe4JvglkCEsGyQYABnEHawgRCDsIGAeEBjYEUwJvAP8AG/+g/2L/O/8Y/v3+7f7U/pr+Qf3h/Yj9O/z//N/85P0F/S79V/2I/cP95v3N/Y79cv2N/Y39Ifxx+/L7wPt6+sn54/lN+U/5u/o4+pn63/sK+wH6s/o5+cj5bPj1+Dv3a/bW9oz2WPYa9ef10/W+9Y71XvVM9Tn06PRU87PzNPLn8s3y4vMR8znzS/NU81/zYvNO8yDy5fKy8p/ytfLi8wvzHvMQ8tHyYfHc8XDxNfEu8U3xfvGm8bLxrvGy8cLx1PHo8gryO/Jp8ozyrvLW8v7zI/NP84zz1PQc9GL0qPTp9SH1U/WM9c32E/ZY9p/25vcq92r3p/fm+Cn4cfi6+QD5QvmD+cX6CvpW+qf69/tD+4373fww/ID8yP0O/VX9n/3s/jv+if7U/x3/av+9AA4AWACZANMBBwEzAVoBewGdAcYB9QIgAkQCZwKNArECzALnAwwDNQNTA2QDdgOMA5sDpQO6A94D/gQMBBUELgRVBH0EnwTBBOIFAgUiBUkFcgWUBbAFygXmBgIGHgY/BmEGggajBscG5wb7BwMHAwb+Bu8G3gbTBtMG2wbmBvIHAAcMBxkHLQdFB1sHbweFB6EHwAffB/oIDwgcCB8IIwgtCD8IVghyCJUIvgjqCRIJMQlPCXsJxwozCqkLGQt8C8sL9QvzC90L1wvpC/QL3wuuC30LWgtACyoLGgsUCw8K/wrhCrkKiwpcCjYKIAodCikKPQpLCkkKOwozCkEKXApmCkwKFgnaCasJhQlhCJIIXQg4CBsH8we3B2sHGwbRBo4GWgZABkUGYQaLBr4HAQdXB7MH+ggPB+sHqAdpBzwHIAcXBysHWweKB6kHyAgHCF4IowixCI0IXQhCCEoIYwhoCDYH1AdjBwQGtwZ1BjsGCwXeBa0FegVIBRUE3ASmBHgEQgPxA44DOAMAAs8CjgJFAhAB8wHNAXsA/ABn/9T/Tf7W/nP+I/3f/Z/9aP1D/TX9NP00/TH9LP0q/S79Of09/Sv8//zN/LT8uPzI/Mz8v/yl/Hr8PPvz+7T7i/ty+1v7SftK+1z7c/uF+6H70vwC/A777vu9+5j7iPuH+5L7pvux+5/7c/tA+xj6+vro+uL64vrg+tf6zPrD+rr6sPqt+rT6vvrC+rn6oPp6+lr6Vvpx+o/6kvp3+mD6afqF+of6S/nh+Xj5Kfjj+Ir4J/fX95f3PPap9fz1bfUR9Nr0sPSS9IH0ePRp9Ef0BPOg8zTy5fLA8rTypfKD8kzyA/Gw8WXxK/D58MDwgPBI8Brv3e9w7tLuK+2s7VztGuzE7Frr+euv63HrNOsH6vfq++rx6sjqlep+6pTqx+r46xPrFusQ6w3rDOsC6uXquuqM6mbqQ+og6gDp7unp6d/pvOmB6T/pBejR6J3oaeg46Afn0OeT51vnKObz5rTmauYa5cblauUI5KHkOePR42/jFuLB4mniC+Gw4V3hDOC24F7gCN+031re+t6d3krd/t2y3WPdFNzG3H7cO9v627LbZdsc2uHas9qG2lraNNoT2fLZ3dnt2iPaUto+2drZWtj82NTYxtiy2JDYbNhK2CvYDtf119/Xx9ez16zXoddw1wvWltZR1lPWfdac1qTWqdbB1unXGddN14TXsdfP1+jYEdhS2J7Y6dk+2abaGNqB2uLbT9vQ3FHcvN0V3XXd7t5+3xzfu+BM4NDhXOIA4rDjVePu5JHlQ+Xz5pznSOf06InpBOl/6grqhurV6wfrMus96xTq+uta7DHs5+z47IvsO+xu7SnuYPAF8cnzIfO889bz6fQz9Kf1NPXe9pH3JPeD98/4Mfiv+TP5rPoY+nn62vtD+7X8K/ys/T79zv41/mT+fP6p/u3/Lv9e/4b/rf/U//4AOACIAOYBTAG+Aj8CxQM+A6MD/gReBNIFWAXbBkUGlQbbByUHbQevB/gIWQjKCTYJkQnnCkQKrQsfC5gMEAx0DLUM3Q0PDWUN5w6EDykPxRBIEKYQ5xEtEaISVBMcE8cUQxSpFRIVbhWjFcAV8hZIFqEW2xcDF0MXoxgIGFgYlRi6GLEYeBhBGEgYlRj1GTkZYBmBGawZ4RoTGh0ZzhklGHYYORiXGUIZtRmYGN4XrBY1FLkThBLkExEUFRW2F34Y9RnnGm8awhr7GxUbFBsJGwEa+RrnGssathrAGvIbORtuG3MbUBsjGwMa6xrNGqQafBpiGlwaZxpzGnYabhplGl4aTxozGhIZ+BnlGdEZvhm0GbQZshmkGY4ZehluGWgZZRleGVQZTRlTGWUZdhl+GXgZZhlHGSAY/BjcGLsYmxiHGIAYdxhbGDYYHxgaGBcYCRfxF9IXtReoF68XsReRF1gXLBcPFtQWXBXRFXYVVRVDFSEU/BToFNoUxRSxFKcUnRSTFKgU8xVOFWYVExSFFBQT6hPxE/0T+RPtE+IT1xPJE7sTsxOjE30TShMjExIS9BKmEjcR2BGeEWwRIxDPEJgQhxB+EFQQBw+4D5QPrQ/gD+wPqA8kDpwOOA34DcYNkg1fDTUNFgz6DNYMnQxPC/wLugufC6wLyQvTC7QLdAsvCv0K6QrvCvcK6QrGCqkKngqECjkJ0QmRCZwJzwnnCcYJfAkvCQAI/QkLCQMI4QjFCLsIlgg3B94H4ggwCEoH4wdKBwIHIQdNB0UHGwb4BtgGqgZ9BmQGVwZFBjUGOwZQBlcGSgY9Bj0GPAYyBisGMQY6BjYGJwYdBhgGCwXxBdAFrQWEBVMFJwUVBSUFQgVMBTEFAQTeBNwE8AUDBQcFAATzBOQE0wTFBLkEtAS3BL8ExgTMBNcE7gUKBR0FJAUjBSEFHwUkBTkFXgWFBaEFrQWtBakFqwW5BdQF9gYYBi8GLwYZBgYGFQY/Bl4GWwZOBlkGcQZtBkMGGwYcBj8GYAZvBnMGcQZjBkYGJQYOBf8F8gXoBeMF4AXVBb0FnwWGBXUFaAVUBTcFFQT2BN0ExwSvBJEEbwRQBDQEGgP9A9sDuQOZA3sDXwNGAzADHwMOAvkC3QK7ApgCegJfAkQCJgIIAegBxgGkAYQBZwFKATABGQEBAOAAtQCHAF4AOwAY//b/0v+t/4n/Zv9D/xv+8f7L/qv+jf5r/kP+Gv3z/cz9of1x/T/9D/zl/L38k/xl/Db8CPvb+637fvtR+yX6/PrW+rL6jfpn+j/6Gfn1+dP5s/mU+XT5U/kx+RD47/jR+LX4lfhw+Er4KPgK9+n3xPei94T3ZfdE9yX3Cvbw9tL2sfaQ9nL2UvYy9hL18fXR9bP1mfWA9WX1RvUp9Q/0+PTi9Mr0svSa9IT0cPRd9E30Q/RA9D30NPQk9BP0BvP/8/rz9PPq89/z2fPW89Pz0fPQ89Tz2PPb8+Lz6/P08/v0B/Qb9DD0QPRO9GH0d/SM9J30sfTH9N708vUI9R71NPVP9W71jfWr9cr17vYQ9i72SvZq9or2pfa/9uD3A/ci9zv3V/d69533vPfb9/z4Hfg++GL4ivix+Nf4+/kd+Tz5W/l9+aH5xfno+hD6N/pb+nv6nPrA+uL7Avsk+0X7Yvt8+5j7t/vT++/8Dfwr/ET8W/x4/Jb8r/zG/Ob9DP0q/T79U/1v/Y39qP3D/d799v4N/ij+Qf5S/mH+e/6e/r3+2P75/yH/Rv9l/4n/tf/fAAAAIwBKAHAAlADBAPkBLwFhAZQByQH4Ah4CQgJhAm8CcgKBAqACxALmAxADQgNtA5EDuAPeA/4EIwRYBH8EegRwBKUFAAUlBQoFDwVeBaIFmwWQBbQFswVHBO0FRwYOBoMGsQdlCMgJ7gowCg8KHQnmCL0HKAZ6BxoIEwhkCAUHWwZlBPIDOQHEANcATv/y/7H/hv9o/1T/RP8h/tj+dP4V/cv9jv1U/Sr9K/1e/ar94f3n/cb9lf1a/SL9BP0J/Qv82/yI/Ef8HfvG+xL6NPmf+ZP57PpZ+q366fsS+xL61Ppv+g75tvk1+HP3qPcf9tf2lvZF9gr1+vXu9cT1kfVy9VH0/PRt88jzNPLM8p/yrvLa8vrzCfMZ8zLzQ/M68xLy1/Kd8n/yifKu8tXy8/L/8unypfI58cbxcfFT8XTxu/H38gryBfIF8hPyIvIy8lDyevKf8rjy1vMA8y3zUvN6867z7PQu9Hb0w/UK9T71afWc9d/2JvZq9qv27/c093b3s/fx+DX4fvjG+Q35UvmV+dP6EvpY+qn6+/tG+4372vws/Hz8xf0L/VL9nP3n/jb+g/7K/w3/U/+j//gASwCYANoBEQE8AV8BfAGbAcUB+QIqAk0CawKLAqoCxALgAwUDLQNHA1UDZgN8A4wDlwOqA8sD7AQABBEELgRWBHoEmgS9BOIFAgUeBT8FYgWDBZ8FuAXRBeoGBgYpBk8GdgadBsIG3QbkBtkGzQbIBscGxQbDBsMGxgbOBtwG7Qb8BwoHHAc1B04HZAd5B5IHrAfFB9sH8Af9CAAIAQgJCBwIOAhaCIAIqQjRCPMJBwkTCScJWQmxCiEKmAsMC3MLugvUC9ML0wvfC98LvguJC18LTAtACycLBgrsCt0KzAqyCooKVQoYCeEJxAnHCd8J+goLCg8KCQoFCgYKBwn0CcQJhQlPCSgJAQjOB/0Hywe3B7IHogd9B0cHBwbFBoYGVwZFBlIGcgacBs8HFQdtB8cIDQgpCBkH6QetB3YHTAc3Bz0HVwd4B5kHvwfpCBEIMAhHCFUISAgfB/IH3wfeB8cHhQcpBtQGkQZZBigF/QXTBakFggVeBTIE9gS1BHoEPgPsA4YDJQLZApcCUgIQAeYB0AGuAV0A1gAy/4//Av6S/j39+f21/W39L/0P/Q39Ev0K/Pv89/0E/Rn9J/0k/Qb80PyW/HX8c/yB/Ij8f/xp/En8JPv8+9r7wPuo+5D7fft1+3b7ePt9+5P7v/vt+/z75/vH+7D7ofuR+4b7hfuB+2X7M/sE+un63/rg+uv7APsT+xz7Hvse+xT6/Prj+tb60vrH+qj6ffpO+ib6Efoe+kT6YfpX+jX6KPpD+lr6L/m++T/43/iU+Dv31/eL91n3Fvab9ff1W/Tm9Jv0cvRg9Fn0VvRT9EX0GPPD813zDPLd8r7ymfJl8iXx1/GE8TrxA/DZ8KzwefBB8ALvq+8q7oPt3+1u7T/tLez/7J7sJeu6627rN+sR6vjq5+rR6rXqqOq/6vPrIusx6yTrFOsQ6xPrC+r06tbqtuqU6m7qReog6gPp8enk6c3poull6Sbo8Oi96IfoT+gc5+rnsedy5zfnBubX5p/mWeYM5bzlaeUO5KvkQuPa43rjI+LP4nbiF+G64WXhFODD4G/gG9/D32ffCN6u3l7eFN3J3XvdLdzi3JjcUNwC26vbU9sK2tXaq9p/2lPaL9oQ2fLZ4Nnx2iTaT9o72d3ZYNj+2M/YwNiy2JPYadhA2B3X/9fh18LXqNea15nXltdx1xzWrdZZ1kPWXdZ81orWjtaZ1rDW0db51yjXWteI17bX8Ng32IfY29k92bDaK9qc2wPbcNvq3GXczt0s3ZHeC96Y3y3fv+BF4MfhVeH64qrjUuPy5JflRuXx5pTnNufY6Gro8emF6irquesU603re+uI61vrN+uJ7F/tNO137SnswOyn7QzuDu+u8ZnzM/Qd9IT0zvUs9ZD19/Z19wf3hPfR+Ab4Tfi7+UT50PpN+rX7FPt6++r8Yfzh/XP+CP59/sP+7P8a/1H/hP+v/9oABwAyAF0AlgDiATkBlQH9AncC+gN2A+EEQASiBRYFmgYbBoQG0wcaB2QHrAfrCC0IgwjtCVgJuAoUCncK4wtSC78MJwyGDNoNJA1vDcgOOQ7CD1MP3RBYEMsRPRGzEjASuxNME9UUTRTCFUIVvRYRFjkWTxZyFqQW2xcbF20XxhgJGCYYLBgsGC0YLBg2GF0YoRjvGTAZYBmMGb4Z+RowGk8aMhnAGRwYrxjiGacaXxpZGWsYCxa/FbgU4xRMFCsUqBWxFwwYcxmhGmgazRr/GyobTRtYG00bOhskGwca8xsCGz4biBu1G7IbjhtiGzwbGBrzGtIauxqyGq4apBqTGoUagRqBGnYaWBoyGhYaDBoHGfwZ7BnlGeYZ5RnYGcIZqhmXGYgZfxl6GXkZexmCGY4ZmRmaGY4ZdhlXGTYZGxj/GN0YvxixGK8YnhhzGEUYLxgwGDAYJRgOF/AX0BfBF8oXzherF20XOxcVFscWPBW0FXQVcBVeFSUU8BThFOIU0RS6FLAUqBSOFH0UoRTuFRwU9RSTFD8UJBQwFDcUKBQOE/4T+BPuE90TyhO0E40TWBMqEw4S6RKbEjQR5BHCEa0RexEvEPEQ0BCxEHEQEQ+9D6EPxQ/7EAEPtg82DrUOVw4WDeINsg2JDWkNTg0wDQcMzQyDDDUL9AvWC9cL3QvJC5wLcwteC0wLKAr9CuIK2QrSCsUKuQqiCmcKDQm8CZ8JtQnbCeYJvwlrCRsI/QkJCQ4I8wjaCNIIrAhDB98H6QhQCH0IEQdgBwMHFwdABzUHDgb0Bt0GtAaJBnQGbAZcBksGTgZdBl4GTQY/BkAGPgYwBiUGKgY2BjkGNgY2BjYGLAYUBfYF1QWtBX0FTgUuBScFMgU9BTQFFwT9BPkFCQUaBSAFGwUPBP4E7gTfBNIExwTEBMsE1QTdBOUE9QUNBR8FJwUmBSMFIAUiBTMFVgV/BZ4FqgWqBacFqQW3BdEF9gYiBkYGTwY5BhsGFQYnBjQGLAYmBkEGdgaXBo8GcgZiBmQGbQZ0Bn8GiAaEBm8GUQY3BiIGEQYFBf4F+AXuBdoFwgWsBZwFjQV4BVoFNwUUBPcE3gTFBKcEhwRpBE8ENQQYA/gD2gO/A6cDjgN2A2ADSgM0AxoC+gLXArMClAJ3AloCPwIlAgkB6QHFAaQBhQFpAU8BOAEeAPsAzQCeAHUAUQAwABD/7//Q/7D/j/9t/0f/H/75/tn+vP6d/nj+UP4p/gH92f2s/Xv9SP0X/Or8vPyO/F78LvwA+9H7oftz+0f7IPr8+tf6sfqK+mX6QPob+fn52fm7+Zz5fflc+Tr5F/j2+Nj4uPiV+HH4Uvg2+BX38PfN96/3kPds90v3MPcX9vv22/a79pv2efZW9jf2GvX99eD1xfWq9Y31bvVR9Tn1I/UP9Pn03/TF9K/0nfSN9Hz0b/Ro9GP0VvRD9DD0JPQf9B30F/QN9ALz+/P68/jz9fPy8/Xz+/QA9Af0EfQb9CP0L/RA9FH0XvRr9H30lPSp9L701PTr9QH1FfUp9T/1V/Vy9ZD1rvXJ9eb2B/Yo9kT2X/Z+9pv2s/bL9uz3D/ct90X3YfeG96n3xvfk+Ab4KfhJ+Gn4jvi0+Nn4/vkh+UD5Xfl8+Z/5wvnl+gr6L/pS+nT6lvq4+tn6+PsZ+zr7Vvtx+477rfvI++L8APwe/Db8Tfxp/If8ovy6/Nn8/v0d/TL9SP1j/X39lf2t/cj94P32/hD+LP5F/ln+cf6O/qv+y/7y/xz/Pf9W/3b/ov/O//MAFwA9AF8AgACsAOMBGgFNAYMBvgHxAhUCLwJAAkUCSAJfAogCsALRAvkDKwNYA34DqAPQA+cD9AQQBDUETQRuBL8FJAVQBTsFOAVvBaEFoQWeBbMFkAUOBK0E8QWUBgQGbweDCSQKUgqTCogKqQpbCQIHXwbYB58IfAhiB3UGUwUpA9gCiwGaAQsAogBEAAT/5//U/7n/l/9k/xT+tP5f/iD96f2s/Xr9dv22/hr+Wv45/cf9SPzu/Lj8kvx+/IL8lvyl/KD8e/wd+4D6y/pC+hP6Mfpt+qD6xfrg+uP6vfp8+jb54vlb+Jz35fds9x/2w/ZX9hL2CfYQ9fj1xvWR9VL08PRq89XzRvLU8pnymPKw8r3ywvLX8vzzGPMZ8v/y1fKq8pDyj/Ke8qzyufLK8tbyx/KO8jPx1vGl8b7yDPJU8nDybfJt8nryh/KT8qfywvLU8uLy/PMo81bzffOk89L0BPQ89IP02fUn9Vv1fvWq9ev2NfZ79rv2+/c+94D3v/f/+EL4ifjQ+Rb5Xfmh+d/6F/pZ+qj6/PtI+4371/wn/Hb8wf0L/Vb9n/3m/jH+ff7C/v//P/+K/+AAOwCSANwBFgFBAWEBeQGUAbwB8gInAksCYwJ7ApYCsQLPAvQDGgMzA0ADUwNtA4UDkwOkA8ED4gP8BBcEOQRcBHgElQS6BOQFBAUaBTAFSwVqBYcFpAW9BdEF5gYDBikGUwZ/BqkGwwbBBqoGlAaQBpsGpgasBq4GsQa6BsoG3QbqBvUHBAcZBzEHSAdhB38HmweyB8UH1gfjB+cH6QfzCAoIKghPCHMIlgi1CNAI4wjtCPkJFglRCaYKDQqCCwELcQu5C9QL1wvQC7wLkQthC0YLQws7CxUK3AqsCo0KdwpcCjYKAQnBCYcJbAl4CZkJtwnKCdUJ1gnJCbAJjAldCSQI7gjICK0IhQhFB48HbgduB3cHbQdKBxcG3AadBmMGOAYmBi8GSwZ1BrEG/wdZB7EH+QgmCDUIIgfxB7UHgwdmB10HYQdzB5IHsge4B6QHnQfHCA0IIwfgB3YHOAc9B04HLwbiBpQGYAZBBiYGAwXaBbIFkgV2BUsFCgS/BHsEOgPrA4oDJgLOAn8CMwHvAcABpwGJAUEAugAH/0/+uv5T/g/91f2Q/T/8/Pzg/OP86Pzb/M782fz7/Rf9Gfz9/M78k/xb/Dn8Mvw7/ET8Q/w4/Cf8FfwF+/j76fvW+8L7sPuf+4r7c/tn+3j7pvvX++775PvP+8H7tfue+4P7bftW+yz69vrO+sP6y/rb+vX7GvtB+2D7ePuK+4f7ZPsy+w76/Prl+rT6cPos+fH5y/nM+fj6Kfox+hH5/foZ+jz6Hfmq+R34s/hm+A/3p/dP9xT21PZs9d31SPTL9HT0RfQz9C70LvQ29D70KvPp843zN/L38sHyh/JK8gfxu/Fp8SHw7PDH8KfwfvBF7/Pvg+757l3ty+1m7UHtQe0r7NjsVevT63TrO+sU6u/qy+qz6rnq4ush61brZetN6ynrF+sb6x7rCuro6s3qvOqm6oHqU+os6g/p9enW6a3peelA6Qro2+ir6HToOOgA58znlOdV5xnm5+a65ofmSOYA5bblaeUW5LrkV+Py45HjN+Lf4oPiJOHG4XDhIuDV4IPgLd/R33XfGt7F3nbeKt3e3ZHdRtz83K/cXNv/253bQdr72svapNp52k7aKtoL2e/Z4tn72jTaXdpH2enZbdkI2NTYwtiy2I7YXNgu2A3X79fL16TXiNeA14bXiddw1yvWxNZj1jXWP9Zj1oDWjtaY1qrWw9bh1wPXK9dY147Xztga2HDY0Nk72bHaLNqg2wrbdNvo3GPc2d1C3aneHN6g3yzfs+A14LvhUuH74qzjVuP75KDlR+Xo5oLnHOe16Eno3+mJ6j7q2utB64PrtOvA65TrZ+uj7GntUu3O7bXtUe0L7S3t7O9S8RryxfP99NH1evYK9nP2vPcI92b3wfgB+DH4cPjS+VT56Pp0+ur7Tvux/Br8iv0E/Y7+Hf6Y/vP/OP91/6n/0P/0ACMAVgCCAKwA5gE0AYsB4gJCArMDLwOoBBUEewTnBWAF4wZgBscHFwddB6UH6wgqCGsIuwkbCX8J3wpACqYLEQt7C98MOgyVDPUNWQ26DhYOfA73D34P/hB4EQMRpRJIEswTLxOJE/EUbhT+FZIWDxZWFmYWXBZhFocWyhcdF3AXrRfMF84XwxfBF9YYBBg+GHUYpRjZGRUZVRmSGdAaCRo0GlIaXxpAGeIZgRmbGlgbIRsZGgkYlBdwFrwWNRXJFaEVzhY/FvsYFBlYGlMazRsBGzsbfBuYG4kbcxtkG08bPBtQG5Ub4BwDG/gb1huxG4YbVRslGwEa8BrtGuYa0BqxGp8aoBqgGowaZxpIGjoaNhosGhwaDRoGGgIZ+hnsGdwZzBm6GacZmxmaGaEZqRmyGboZvxm6GaYZhRliGUMZKxkRGPAY1BjMGM4YvxiWGGoYVBhQGEYYMxghGA8X+RfpF+YX3xe7F4IXURcdFrsWKhW3FZsVqxWPFTsU8BTcFOAU0xS/FLwUuBSZFHQUeBSqFNYUzhScFHAUYxRrFGcUShQfFAAT+hQDFAkUARPkE68TbhM2ExES5xKeEkER/xHtEe8R2RGkEWkRMRDuEI0QHQ/HD60PyQ/tD+MPmg8uDscOew5CDg0N2Q2sDYwNdA1ZDS0M8QysDGkMMwwUDAoL/AvVC6MLjAuYC58LeAsyCvsK5grgCtMKvgqiCnEKJQnWCawJvQn/CkMKSgn5CYAJLgkcCR4JDAj2COoIvwhXB/kICAhuCJYIIwdsBwgHFAc3By8HEQcABu8GywakBpEGiAZzBlwGWwZpBmoGWgZJBkMGPAYuBiQGJwYxBjkGQwZRBlkGUwY/BiQGAgXYBaoFfgVXBTgFKQUoBSkFIwUaBRkFIQUsBTMFNAUrBRkFBgT3BOsE3gTWBNoE6AT0BPsFBgUYBSgFLgUsBScFIAUdBSYFQwVqBYsFnAWhBaEFpgWzBcsF7wYaBj4GSgY7BiEGFgYdBiIGGQYVBjEGbAakBrwGswaeBooGfgZ9BocGlAabBpMGewZaBjoGIgYUBgwGAwX3BegF2AXIBbcFpAWNBXEFUQUxBRIE9QTZBLwEoASFBGsETgQuBA4D8wPdA8gDtAOeA4YDbQNUAzkDGwL5AtYCtAKUAnYCWgJBAicCBQHgAbsBnAGAAWcBTgEyAQ4A4wC4AJQAdQBWADcAGv/+/+D/wP+f/3v/Vv8w/w/+7/7N/qf+fv5V/iz+A/3Z/az9fP1J/Rj86Py5/Iv8XPws+/v7yfuZ+277SPsk+v361Pqs+of6ZPpB+h/6APnk+cf5p/mG+WT5QPkc+Pr42Pi1+JX4evhg+ED4G/f499r3uveU93H3Vfc99yL3BPbl9sT2ofZ99l72RfYr9g/18vXT9bT1lvV79WP1TvU59SL1BvTq9NX0xvS49Kj0mPSM9IL0cvRd9Ez0QvQ+9Dz0N/Qt9CL0HfQe9B70HPQZ9Bz0JPQt9DX0PvRH9E/0WPRm9HP0fvSK9Jz0svTJ9N709vUO9SP1NvVL9WH1efWS9a71yvXj9fz2GfY39lL2bvaP9q32xfbc9vv3Hvc691H3bveS97X30fft+BD4M/hS+HP4lfi5+Nz5APkk+UX5YPl9+Z35wPni+gP6JfpH+mn6jPqv+s/67fsL+yz7Sftl+4T7pfvB+9v79vwR/Cf8Pvxb/H38mvyz/M787v0J/R/9Nv1S/Wv9gP2Y/bT9zf3h/fb+E/40/lP+bv6J/qT+xv7x/xr/N/9L/2f/kP+8/+UADwA4AFcAcgCZAM4BBQE5AXIBrgHdAfgCCAIUAhoCJQJEAnICmAKzAtkDDgNCA20DmwPIA98D5gP/BDUEcgSrBPYFSgV3BW8FZAV7BZQFlAWUBZIFTwTBBGAEkAURBYUGNAekCYAKxgsaCxQLCQpkCM8HQwcEB/EInQgUBrYFUwQsAyUCTgHHAW0BBwCeAGQAVgBGABz/5v+r/2D/Cf64/nb+Ov38/cv9w/33/k/+hP5P/bv9Hfy7/Iv8Xfwx/DL8c/zH/Ov8xvxn++v7Z/rt+pb6cvp4+oz6nPqk+qP6lPp7+lb6DvmG+M74Jfez91n25PZk9hb2EPYl9h/18vWn9UL0xfRE88fzT/Ln8qnymvKa8pDyh/Kc8sjy6/L08ury2fLH8rnysvKs8qHymPKe8rXyy/LF8pjyVPIq8j7yh/LN8ury6PLm8u/y9/L98wTzCfMH8wnzH/NJ83Xzn/PN8/z0JPRP9JD06/VC9Xr1mfW99ff2QPaI9sn3BfdD94T3xvgI+Ez4kPjU+Rj5YPmn+ef6IPph+q77APtM+5L73vwt/Hr8xf0T/WP9rf3y/jj+gv7G/wH/Ov+A/9UAMgCLANcBEgE/AWIBeQGOAa8B4gIYAj8CVQJqAoUCpALDAucDCwMiAzADRANiA4EDlwOrA8YD5gQEBCUESARlBHkEkAS1BN8E/gURBSEFNQVPBWwFiwWlBbgFyAXfBgEGKAZRBnsGlgaXBoEGbAZqBnkGiQaSBpYGngasBr8GzgbVBtkG4wb0BwcHHAc5B14HhAegB7MHwAfKB88H0gfdB/MIEwg0CFMIbwiJCKIIuAjICNYI6wkQCUkJlgn+CoQLEAt9C7ILtwuiC4ILWws5CyoLJAsJCswKfwpFCiYKEQn5CdcJqAlsCTUJHAkpCUQJWQlpCXoJgwlxCUgJFQjjCLMIiQhqCEwIGgfTB0QHOAdFB00HPAcUBuAGpwZsBjYGDQX3BfgGEAZABoQG2AcwB4IHzAgLCDcIQggkB+0HuAeVB30HbgdwB4YHlgd/B0wHPgeEB+0ICgenBw0GsQa5BuEG2AaXBlEGKgYeBhIF9gXQBa0FkQVxBT0E9QSnBGIEIQPZA4QDKALOAncCJQHbAaMBgwFpAS0Aqv/p/x3+fv4c/eP9sf1u/SD84PzC/L78ufyo/KX8xPzz/Qj87/y6/ID8T/wo/A78BPwH/A/8FvwW/A/8BvwC+/779fvn+9n7y/u2+5L7bPtW+2X7lfvJ++T73fvM+8L7uvuj+4D7Xfs8+xL65frI+sX60Prf+vv7KPta+4X7rfvQ+9j7r/tm+yj7Cvry+sH6dPof+dT5o/md+cP59foF+e/54vn/+iH6A/mW+RH4rPhe+AD3i/cf9tD2iPYp9bD1LvS49F/0K/QW9BD0EvQg9DL0LvP/867zVvMG8rzyePI68fzxsfFd8RLw3fC98KXwgfBA79rvWu7Q7kvt0u147U7tRu0x7OjsbOvj63frM+sF6tnqsuqr6tnrLOt164zrb+s96xzrG+sq6yvrD+rn6svqvuqq6oPqU+oq6gnp4+m06YLpT+kd6O3oweiT6F7oIefm56/nduc35vrmx+ab5mzmNOX05bDlaOUb5Mjkb+QQ47DjUuL34pniOOHZ4YPhNuDr4JfgPN/g34ffM97i3pLeQd3w3aLdVt0K3LfcW9v425fbRNsF2tbaq9p92lDaKdoD2eTZ4doL2lDae9pd2fjZedkW2OLYzNiz2ITYSNgY1/zX4te814/Xcddp13DXdtdp1zfW3tZ71jvWN9ZZ1n7Wktae1q/Wx9bh1vvXHNdH137XvtgK2GTYytk22abaGtqM2vfbYNvT3Fjc3N1N3a3eFd6T3x3fpOAn4LXhWOII4rnjY+QH5KrlSuXj5nfnCeeg6D7o4+mT6kLq1+tE65LrzOvh68Hrk+u27FztRu307hnt1u2H7YXuB+8V8IPyBPNe9IX1gPZN9uD3P/d+96/32fgG+EL4lPj9+Xz6C/qa+xn7hfvm/Eb8q/0d/Z/+I/6Y/vz/V/+p/+MACAArAF0AlQDDAO4BKwF+AdgCLgKJAvMDZgPZBEcEtwUvBa8GMAalBwUHVAecB+MIKQhsCLEI/wlXCbQKFAp3Ct0LRAurDAwMYgy3DRYNgg3vDlUOwQ8/D8YQQxC9EVASBRK6E0ATkRPRFCgUphU8FcUWHhY4FikWGBYmFloWpxb5FzYXUhdbF2UXdReKF7EX8xg/GHcYmxjIGQwZVRmWGdYaFRpAGlUabBqAGmcaMRpSGwobzxu8GpwZKhglF5gXMRbtFvQXJBc9F2UYCBkmGjIaxBsFG1AboBvAG7QbqhurG5obgxuXG98cJRw6HCgcDxv0G8wblRteGzMbGxsQGwYa7RrOGr0avBq2GpsafBptGmkaXhpFGjAaKhoqGiAaChn0GeUZ3RnTGcUZuxm9GcgZ1BneGeUZ5RnZGb8ZnBl4GVoZQBkiGQAY4xjaGN0Y1Bi1GJEYexhtGFcYPhgyGDMYLhggGA8X+RfSF6AXbhcrFrkWLxXYFdsV9xXUFXAVFhTxFOQUzRS5FLsUwBSsFJAUjhSoFL8UvxSxFKYUoRSZFIYUYBQrFAAT+RQWFDYUNxQNE8QTeBM/ExoS8xKzEmYSLRIeEiUSIBH/EcgRgBEgEK0QOw/qD8wP1g/iD80Pjw89Du8OsA55DkIOCA3TDa0Nlg1+DVMNFAzRDJkMbwxSDD4MJAv6C84LvAvKC9MLrwtnCyQLAArvCt0KxgqpCnsKNgntCcEJ0AogCoUKsAprCdwJYgkyCSsJIAkPCQII2gh/CCoILQh3CIkIGwd1BxgHHQc5BzcHJgccBw0G6wbHBrMGpAaJBmwGZgZyBncGbAZbBksGOwYtBigGKwYxBjwGUgZtBnwGeAZoBlEGLgYABdQFrwWLBWMFQgUzBTQFOQU5BTcFNgU5BUEFSQVHBTUFHgUMBQEE9ATqBOwE+gUKBRUFHgUqBTQFNgUxBSoFIwUeBSEFMwVSBXEFhgWQBZQFmgWlBb0F4AYKBi0GPQY4Bi8GLwY5Bj0GMgYjBiYGRgZ1Bp0GsAauBqIGlQaPBo8GlgajBqoGnwZ9BlMGMgYiBhkGDAX8Be0F4gXVBcQFrQWVBX0FZAVKBS0FDgTvBNMEuQSfBIEEYAQ9BB4EBgPyA+ED0AO+A6cDjQNzA1oDPwMfAvsC1wK0ApICdAJYAjwCGwH2AdEBsQGUAXkBXgFBASAA/ADcAMEAqACMAG8AUgA1ABT/8P/N/6n/hf9g/zz/Gf70/sv+of53/k3+JP39/dX9qf15/Uj9F/zq/L38j/xf/C37+fvI+5v7dPtO+yX6+vrQ+qr6h/pl+kT6J/oL+e35zPmq+Yf5Yvk8+Rf48/jP+K/4lvh++GD4Pfgc9/733/e695b3efdh90j3K/cP9vD2zPan9oj2b/ZX9jv2G/X79dv1vfWj9Yr1cvVa9UH1JPUH9PP05/Tc9Mz0uvSr9J30i/R59G30Z/Ri9Fz0VPRL9EL0PvRB9EX0RfRD9EX0TvRZ9GH0aPRu9HX0f/SL9Jj0o/Sv9MH01vTs9QL1GfUw9UP1VfVp9YD1l/Wv9cn14/X69hH2KfZD9lz2evac9r722Pbw9w/3MPdL92H3fvei98P33vf5+Bn4OvhZ+Hn4nPi9+Nz4/vkj+UT5Xvl5+Zn5u/nc+fz6Hfo++l/6gvqm+sX64fr++x77Pfta+3j7mfu3+9P77fwG/B38NPxR/HP8kvys/MT83Pzy/QT9HP04/VL9aP2B/aD9vf3R/eX+AP4k/kn+av6G/qD+wv7s/xX/Mf9G/2L/iP+w/9gABgA0AFYAbwCSAMEA9AElAV0BlQG7AcoB0gHeAe0CAQIkAlMCegKWAr4C9wMvA1wDigO5A9YD5AQMBF4EuAT1BSMFWAWBBYUFdwV2BX4FgAV6BVwE/wRzBBwEPgSoBS0GHQfICbYK+wtMCygKxwnGCCoG+wcjCBsIcgeCBfAElQOhAuQCWwIPAc4BbQEJANgAzQC0AH0APf///7j/Zv8U/sv+iP5M/h/+C/4Z/kH+Vf4c/Zf9D/zH/K78ifxR/ET8iPzt/Rr87PyL/Cf7yftf+vH6oPp/+nv6ePpq+lz6WPpc+lX6Hvmg+PX4WPfo94T3CPaG9jT2JvY39jr2FfXA9T70q/Qq88PzYvMI8s3yt/Kp8o/yfPKN8rfy2vLn8uvy7vLw8uvy3/LM8rPynfKW8qTywPLY8tvyy/LD8uTzKPNk83rzcvNo82bzZvNj817zUPM68zDzP/Ni84rzufPx9Cb0SvRo9J/09/VS9ZH1t/Xa9gz2TvaW9tn3FPdM94n3y/gQ+FT4lvjX+Rr5Yfmq+e76Lvpw+rr7B/tQ+5r76fw5/IP8yv0Y/Wz9uf39/kH+iP7M/wb/Pv+A/9EALACEAM0BBwE4AWIBfgGQAagB1AIHAi4CRwJfAn8CogLDAuUDBgMfAy8DQwNhA4EDmwOzA84D7AQLBCoESwRkBHUEigSqBM0E6AT6BQkFGgUuBUgFZwWGBZsFrAXBBd4F/QYdBj8GWwZlBl4GVAZUBl4GZwZsBnMGgQaXBqwGuQa8Br8GygbcBu0HAAccB0IHageIB5sHpwevB7MHuAfEB9oH9AgRCC4ISAhgCHcIiwicCK0IwgjhCQoJPgmKCfkKfQrwCzELPgsvCxoLCAr5CuwK0QqYCkQJ9gnKCb0JtQmiCYQJWgkjCO4I0gjQCNMI0QjYCPAJBQj+CNwItgiYCHkIUwgpB/kHvAd3Bw8HEQceBxwHBgbhBrQGgAZIBhUF7gXXBdQF7AYeBmMGsQb/B0gHjwfWCBUIOwg5CBYH6QfBB54HgAdyB3IHbAdMBykHOweYB/wH/weABtIGZgZbBnYGcQZCBg8F8gXmBdUFtQWQBXEFUwUoBOcEmwRUBBcD3QOgA10DEgK9AmMCDQHBAYYBYwFMARYAlv/P/vr+V/33/cH9kv1Z/Rn84fy+/Kj8kPx4/Hr8n/zK/M38nvxd/Cv8D/v/+/L76Pvl++v79fv6+/j79Pv0+/X77/vk+9r70vvA+577eftl+3H7mPvC+9f70PvD+777uPug+3b7T/sy+xj6/frs+ub64/rl+vv7Kvtf+4n7rvvW++f7v/tl+xD65PrS+rH6bPoV+cj5mvmR+ab5vvnB+bX5ufnY+e/5z/l0+Qn4sfhc9+33avbz9pv2TfXx9YX1FPSr9Fb0IfQL9Aj0DfQc9C30LfQI88HzaPML8rTybPIz8ffxqvFR8Qfw2fDB8Kjwd/Ag76TvGe6Y7izt0O2H7VbtN+0Q7MfsWuvf63LrIurr6sHqrOrD6w/ra+ub64brS+sc6xTrJ+s46zTrFers6svqtOqY6m7qPeoQ6eXptumE6VfpL+kC6NDooeh06EToDOfR55fnW+cb5t3mqeZ75k3mGeXg5aPlX+UW5MnkeOQh48Xja+MT4rjiV+H24Z3hT+EB4KrgTN/w353fTt7+3qreVt4C3bHdYN0M3LPcVdv626nbZdss2vbavtqH2lfaKtn92dzZ4dob2mvalNpp2fnZedkb2O7Y2di52H3YN9gE1+vX1tez14fXZtda11zXYtdg10PW/9ak1l7WStZi1oPWmNak1rTWy9bl1wDXJNdU143XzNgT2GrYzdk02ZraBdp22uTbUNvI3FTc391O3aPeAt6C3xTfoOAl4LnhZeIb4srjb+QO5K7lTOXk5nXnBuek6FPpCemy6kPqvesj63vrxevt6+TrwevM7EntIu3z7lfuRu4O7gfuXu8V8BjxUPKd89z09/Xp9rz3aPfV9/v39/gF+Ef4t/k4+bv6QvrJ+0f7t/wb/Hb81P1B/b7+Ov6m/wX/Zv/BAAMALABTAIoAxQD2ASYBagHEAiMCfALWAzoDqAQZBIsFAgWBBgMGfgbmBzkHgQfJCBUIYgitCPoJSQmcCfQKUwq1CxYLdgvbDD8MmAzqDUINqA4YDowPDA+bECkQpxEcEaQSRxLqE24TzRQcFHYU5hViFcYV7hXeFcMVxxXwFiwWaxakFscW1BbjFw0XShd/F68X8Bg6GG8YkxjJGRkZYhmVGc8aIRpiGnoahxqgGqUakhrJG4ocUxw9GxoZsxjCGDwX0RegF+cYWRhuGDcYWhkeGhAashsPG2kbuRvWG9Qb4hv0G94buRvGHAscSBxQHDwcMRwkG/8bxBuJG1sbPBssGyAbCRrpGtUazhq/GqIaixqHGoYacBpRGkMaTBpVGkkaKxoLGfkZ8RnsGeQZ3BneGekZ+RoGGgoaAxnvGdIZsxmVGXkZXBk9GRwZABjxGO4Y5xjRGLIYmBiEGGwYVBhLGFIYWRhSGD4YHxfyF7wXgRc0FsQWThYRFh4WMxYKFakVURUgFP4U1xS8FLkUuhSvFKkUthTIFM0UzhTbFO0U6xTRFKwUgBRMFCAUGxRBFGgUYBQeE8ETcRNBEygTDBLZEpkSZRJNEkoSRBIsEfkRrBFIENcQbhAhD/wP9g/zD90Prg9vDysO6g6tDnUOPA4GDdsNwA2mDXoNOwz9DM8MrwyQDHAMTwwrDAUL7AvkC9wLvwuLC1ILIwsBCuoK3QrLCqQKZAocCeMJ1woMCmYKnAptCe0JdglBCTgJLgkeCRQI+QiyCGAISQhpCGoIEgeRB0IHOwdLB0wHRQc/By8HDQbsBtYGwgakBoYGeQZ+BoQGggZ1BmAGSAY6BjcGOAY5BkUGYgaFBpcGlAaIBnUGVQYnBfwF2wW8BZcFcwVdBVgFWAVVBU4FRgVEBU4FXQVhBVIFOAUjBRYFCQT8BPsFCAUcBSwFNwVABUMFPgU1BTAFMAUxBTQFPAVMBV4FbwV7BYQFiwWXBbAF1QYBBicGPQZIBlAGXQZrBnAGYgZHBi0GJQY4Bl4GhQaiBrQGuwa2BqcGnAaiBrUGuwajBnYGTgY3BikGGgYGBfQF5gXYBcYFsAWYBYMFcAVdBUUFJgUEBOUEywSxBJIEcAROBDIEHgQNA/0D7QPcA8cDrQORA3gDXgM+AxgC8ALKAqUCggJiAkYCKwINAe0BzwGxAZQBeAFbAT4BIgEKAPYA4QDHAKkAigBoAEEAGP/x/8z/qP+D/2D/O/8T/uj+vv6W/m3+RP4e/fn90P2j/XL9Q/0X/Oz8v/yQ/F/8Lvv8+837ovt6+1H7Jvr6+tL6rfqK+mn6S/ou+g756vnG+aL5fvla+TX5D/jp+Mf4rPiV+Hj4V/g3+Bv3/vfc97v3n/eG92z3Ufc39xv2+PbT9rL2mPZ+9mH2QfYg9gH14/XI9az1kPV19Vr1PfUi9Q/1A/T49Oj01/TH9Lf0pvSY9JH0jvSH9Hz0cvRq9GP0YPRk9Gv0bvRs9Gz0dPR99IT0ivSQ9Jn0pPSz9MH0zfTa9Or0//UT9Sj1PvVS9WL1cfWF9Zz1s/XK9eP1/fYV9ir2QfZY9nD2jPat9s326fcE9yL3Q/dd93T3kPez99L37PgG+CP4Qfhe+H34n/i++Nv4+/ke+T75Wfl0+ZX5t/nW+fb6GPo6+ln6e/qd+rz61/r0+xT7NftR+2z7ivun+8P73/v7/BT8LPxG/GX8gfyZ/K/8xfzZ/Ov9Av0g/T39Vf1u/Y39rf3H/d/9/f4g/kT+Zf6B/pz+vP7j/wr/Kv9F/2X/iP+p/8v/9AAiAEoAawCSAL4A6QESAUMBdgGTAZgBmwGsAcEB1wH5AioCWgKCArAC6wMgA0gDcAOgA8QD3wQVBHkE3wUXBS4FTAVxBX0FbgVkBWsFbgVYBRkErQQ0A/MEEQR4BSIGTAgKCdAK2gr4CpAJ1giwB2gG1wdfCCoIBwbLBUwEQAOZAw0CmwJWAh4BzwGBAVkBSQEnAOsApgBdAAr/tf9s/yr+6P6r/nv+Vv45/ib+Df3O/Wf9Dfz0/QX8/vzL/Kj8yf0Q/S389vyT/Dr78fuZ+yz6y/qT+nr6Yvo/+iD6Fvoh+iT5+fmM+Pf4bPgD96X3NfbD9nT2VfZS9k/2MfXg9Vn0w/RK8+/zmfNE8wry9PLo8s7yuvLE8uTy//MK8xPzI/Mx8zDzHfL/8t/yxfK18rHyvvLd8wLzJPNL84bzzPQA9A3z/fPo89jzy/PA87Hzk/Nt81fzXvN585zzzfQP9Ev0bvSE9K/0+vVO9ZP1xvXz9iX2Yvap9vD3Lfdh95r32/gf+GH4ofjh+SP5aPmx+fn6PvqC+sj7DvtU+5777vw9/IL8xf0R/WT9s/35/jz+gv7G/wP/PP98/8gAHwBzALkA8gEnAVkBfwGWAawB0AH+AiQCPgJbAoECqQLLAuoDCgMmAzoDTwNoA4MDmwOyA8wD6AQBBBoENQRQBGcEfwSaBLMExgTVBOQE9AUEBRsFPAVdBXcFjQWkBb4F1gXsBgQGHgYxBjkGPAY/BkAGQAZABkgGXAZ4BpAGnQajBqwGvgbUBugG+wcTBzQHVQdvB4IHjgeVB5kHoQeyB8kH4wf+CBsINghLCFgIYAhrCHwIlgi5CNwI+wkhCWAJvAoZClkKcwp4CnwKggqDCnQKSAn8CaUJZwlWCWAJZAlVCTgJEAjeCKsIhghsCE8IMggxCFEIdwh/CG0IWwhOCDkIDwfYB50HYAcrBucG7QbwBuQGzwa0BpEGYgYuBgAF3gXKBckF3gYHBjwGeAa3BvgHOweEB84IDAgrCCcICgfiB7gHkQdxB1QHNgcgBysHbAfKCAAH1QdQBrMGQQYMBfoF7gXeBcwFuAWcBXMFRAUYBPQEzgSXBFEEDAPUA6QDcwNCAxMC2wKPAjUB3AGTAVwBOwEjAO4Acv+z/uj+Tf3w/bf9if1Y/Sb89fzL/KT8e/xZ/FL8afx//HH8PvwF++T73fve+9z71vvT+9b73/vj++H74fvn++z75vva+9L7zvvE+6/7mPuL+4/7o/u5+8X7w/vA+8P7vPuc+2z7Rvs1+yz7HfsM+vv65vrc+vD7JPtY+3b7i/ur+8H7ovtJ+ub6rPqb+ob6T/n++bj5lPmP+Y75fvll+V75dfmX+aD5evk0+Ov4o/hG98f3PfbL9nj2LPXQ9Wj1AfSj9FP0HvQI9Ar0FvQn9Db0MvQP88zzcvMN8q7yY/Io8erxm/FH8Qrw7PDZ8LDwXO/d70juuO5F7fHtsu1+7U/tGezV7IXsLevP627rF+rZ6r3qyOr/61Prl+ua62HrI+sQ6yXrPutC6zHrEerq6sLqn+p76lDqH+ns6bfpg+lX6TjpGujv6Lfog+hX6Czn+efA54XnR+cF5sjmkuZg5i3l+OXD5YzlTeUI5L7kceQf48rjeeMr4tjifOIb4b/hbOEa4MDgYeAH37bfZ98U3r/eat4W3cHda90Q3LPcWNwK283bmNte2xnaz9qP2l3aL9n/2dzZ5dol2nfamtpl2e3ZbdkX2PLY49jD2ILYNdf7197Xy9eu14fXZddR10rXTtdV10zXH9bV1pHWctZ61pLWp9a21sXW2dby1xHXOtdv16rX6Ngq2HnY1Nkz2ZLZ+dpr2uDbUtvL3FTc2d1A3ZHd89583xbfo+Ao4L/hcuIq4tXjc+QN5KvlSuXl5nbnCOew6HXpPOnb6kjqnOr061Xrruvt7AHr8Ovt7D7s++3c7njupu6c7qXu4+9T7/3w7vIW80H0RvU39jf3O/f7+EP4M/go+GL43Plt+ff6efr2+3D75fxO/K39Cf1y/e3+Zv7N/yb/f//VABkASQB3ALEA7QEiAVsBqAIIAmwCzAMqA48D/gRyBOkFYQXaBlQGxQciB2cHpQfqCDoIjwjkCTgJiwndCjIKjQrqC0QLnwwDDGsMzA0hDXQN1A5FDsoPYxAFEJkRFRGDEfUSbxLqE2kT6xRnFM8VJxV4FbEVuRWcFYsVqRXfFgcWHxY4FlQWbRaTFt0XOBd/F7AX5xgqGF8YhxjHGSEZaBmNGb8aHhp5GqAaqxq/GskawRsAG8ocnRyMG2gaARkXGJQYIhf6GHMZNBl4GSIY4Rk7GfUanRsZG4MbyhveG+scFRwzHBMb3xvnHCscXRxaHEscTxxNHCMb3BuaG2sbUBtEGzsbJRsDGusa4BrRGrUaoBqbGpUafRpiGlsaaBpvGmMaSRouGhkaDRoHGgIZ/hn/GgoaHRorGi4aIBoDGeIZxxmwGZQZdBlWGTwZJBkRGQYY/hjrGMwYrxicGI0YehhrGGYYaRhrGGAYQRgKF8gXhBc6Ft8WhBZTFlAWShYVFcEVexVMFSAU8hTUFMgUuRSoFK4UzRTnFOkU7xUSFTsVQhUdFOkUtxSJFGcUaRSOFKgUiRQuE8ETcRNME0ITNBMOEtUSnRJ3EmQSVhI9Eg4RyRFyEREQsBBhEDAQHhAVEAEP2g+jD2IPGg7WDp8OcA5ADhIN7A3KDZwNYQ0qDQUM6gzHDJsMcQxODCwMBgvjC8kLtwuhC3sLRgsTCvcK9ArwCtUKngpUCgYJ0QnYChkKUgo8CdwJfglXCVEJRAkwCSgJGQjhCI0IWQhXCFYIIQfJB4QHawdoB2cHZAdeB00HMQcTBvsG5AbIBq0GmwaVBpkGnwabBoYGagZWBlAGTAZHBlEGcQaWBqkGpwaeBpAGdgZOBiYGBQXmBcQFpQWQBYIFdQVnBVoFUwVTBV8FbwV2BWsFVAU+BS0FHAUOBQkFEwUlBTkFSAVRBVMFTAVCBT8FRgVRBVoFXQVcBV0FYwVuBXsFiAWZBbIF1wYBBigGRQZbBnEGhgaUBpYGiwZyBlAGMwYrBkAGaQaYBsQG5AbrBtUGtAalBrIGwga6BpgGbQZMBjcGJQYSBf8F7AXZBcUFsAWaBYcFeAVrBVgFOwUXBPUE2QTABKUEhgRoBFIEQQQwBBwECAP0A94DwwOnA4wDcQNPAycC/gLXArECiwJqAlICPwIrAhQB+QHdAcIBpwGKAW0BUgE9ASgBEQD1ANYAtACOAGMANwAQ/+z/yP+l/4H/W/8x/wb+3P61/o7+Zv4//hn98P3D/ZT9Zv07/RD85Py2/Ij8XPwu+/770Pun+4H7V/sr+v/61/qz+pH6cPpQ+i36B/nh+b35mvl6+Vj5NPkN+Oj4yviw+JT4c/hU+Dj4Hff+9+D3xfer9473cvdZ90D3H/b69tj2u/af9oH2YvZE9iX2B/Xq9cz1rvWR9Xf1XfVE9TD1IfUU9QP08vTi9NH0wPS09LH0sPSo9Jz0kfSL9Ib0g/SH9I/0k/SR9I/0k/Sb9KL0qfSy9L30zPTc9Oz0+PUE9RP1J/U69U31YPVx9X71jfWg9bf1zvXk9fz2FvYv9kf2X/Z39o/2p/bD9uD2+vcT9zL3Uvdu94b3ovfC9+H3+/gV+DD4TPhn+IT4pPjB+N34+/kc+Tr5VPly+ZT5tfnS+fD6E/o1+lT6c/qV+rT6z/rq+wv7K/tG+1/7evuV+677yfvo/Ab8IPw4/FD8aPx9/JL8qvzC/Nr89f0W/Tf9U/1r/Yb9o/3B/eL+Bf4o/kf+ZP6A/pr+uP7b/wH/I/9B/2P/hf+i/7n/1//+ACkAVwCJALgA3AD7ASMBTQFmAWkBbwGEAZ0BsgHSAgcCQQJyAqUC3QMNAy4DUgOFA7UD3QQXBHYE1gUKBRsFMgVUBWAFVAVNBVcFUQUdBMMEYQQTA/UEHASSBW0Gxgh2CfAKngprCawIrQebBt4G7QedCAUHZwYSBOoEVAP+A4sDDAKyAnUCNgH8AdkBwQGeAWcBHAC7AE7/9//C/5b/Wv8X/t/+sP57/j/9+v2n/Uv9E/0h/Vr9dv1S/Rr9Cv0l/TD8//yl/FH8D/vG+2f7BPq7+o76aPo7+hL5+/nz+eX5tflV+Nr4afgQ98D3ZvcL9sP2lfZ59mb2RfX69X/0+fSO9Dvz5fOL81HzQvNF8zvzLvMx80HzTfNQ81nzb/OH843zd/NM8yDzAfLr8tzy3PL18ybzY/Op8/r0SfR79IT0cfRV9Dn0IfQP8/jz0POe833zfvOU87Xz5vQq9Gn0jvSk9Mf0/vVA9YL1wvX/9jb2cfa49wX3R/d997T38/g1+HP4sPjv+TH5dfm9+gb6TfqR+tX7GPtb+6L77vw4/Hz8vf0F/Vb9pf3s/i/+df66/vr/Nv90/7oACABYAJsA0gEIAUIBdgGaAbcB2gIEAiUCPgJaAoICrQLRAu8DDgMrA0IDVgNqA38DkwOnA8AD2APsA/8EFgQzBFIEcQSJBJkEowSuBLsEywTcBPMFEwU0BVEFagWEBZ4FswXEBdcF7gYEBhUGIAYmBiUGIgYjBi4GRAZfBngGhwaRBp0GrwbFBtgG7AcFByMHQAdZB2wHeQeAB4QHjwejB70H1gfwCAwIJwg2CDkINgg6CEsIawiRCLAIvAi/CNAJAAlCCX4Jogm2CccJ1gnaCcoJnglbCRcI8QjyCQQJCQj6COAIwAiWCGUINQgDB8kHnAeaB8YH9wgIB/oH6QfcB8QHmwdpBzgHDgbxBsgGywbFBrUGpAaRBnIGRQYWBfIF2gXMBckF0wXjBfsGHQZPBowGzwcZB2sHugfzCAoIAAffB7UHigdaByMG8wbsByUHggfGB78HdAcJBpsGLgXIBYIFbwWABY0FegVHBQcEyASRBGEELgPyA7IDfANUAywC/QLSArAChwJFAewBlQFPAR8BAQDmALAAPv+V/ub+Xv4F/cf9lP1k/Tb9BfzU/KP8cvxH/C38KPwm/BL77PvI+7f7t/u++8P7xfvE+8f7y/vO+8770vvc++H72vvN+8f7xvvB+7j7rvun+6P7pfur+7P7uvvE+877xPub+2f7SftE+z77JvsE+uP6yfq/+tj7EPtC+1b7XPtw+4f7ePsv+s76iPps+ln6Kvne+Z35hPmG+Xj5R/kT+Qn5KflK+UD5D/jV+KX4bfgS95T3Efar9mD2FfW79Vj0+vSk9Ff0HvQD9Af0HPQ19EX0PvQW89Hzd/MU8rLyXvIZ8dTxifFG8SDxEPD18KnwI+957s7uQe3d7Zvtb+1P7Sjs6eyT7EDr/+vD63brIOrl6t/rDOtW65vrs+uL60XrGusl60jrVetC6yPrA+re6rLqh+pf6jjqCenS6ZjpZOk+6SXpC+jf6KbocOhE6Bnn5+ew53bnOOb45rvmg+ZL5hHl1+Wj5XDlN+T35LDkZeQW48jjgOM64vDim+I/4eThjeE34NzggOAn39Lffd8n3tPegN4r3dPdd90Z3LzcZ9wl2/PbxNuD2y/a2dqV2mXaOdoJ2eLZ5toh2nDaktpg2enZadkV2PTY6djM2I7YQNgB193Xxter14jXZddJ1zvXP9dO11PXO9cG1s3Wqdai1rDWxdbY1ufW99cO1y7XWNeK18PX/tg92IbY2dkz2ZHZ+tpx2urbW9vL3ELcud0h3X7d8N6B3xrfouAm4MLhd+Iv4tXjb+QJ5KjlSOXi5nPnBOey6IbpWenz6kfqgOrP6zfrn+vw7BzsIOwY7Ejs3u247nvu7e8k70/vgu/B8Cvw5vHn8ujzvfSI9Yn2u/fE+E/4afht+KP5EfmV+hn6mvsa+5b8Dvx+/OH9Pv2i/hX+jf73/1D/of/tAC8AaACiAN8BGgFTAZUB6gJPArgDHgODA+wEXgTXBVEFwwYtBpgHAgdcB54H0wgQCF4ItgkPCWcJvAoQCmQKvAsUC20LyAwsDJMM9Q1PDacOCg6DDxkPyBB3EQsRgBHmEkMSlBLmE1oT/RSlFR0VYBWMFaoVqBWNFYkVshXhFesV3xXpFhEWQRZ2FscXJhdtF5cXxhgGGEAYbhizGRMZXxmEGbAaCBplGpkatRrcGvEa5RsXG9gcrRyfG28Z8Bj1GHUYExf5GIcZcBnoGaoZShlfGeYajBskG54b3RvoG/4cOhxfHDscBhwUHFgcfhxvHGMcdBx3HEUb8BujG3EbWhtVG1EbOxsYGwEa+xrxGtkawxq6GrAamxqGGn0aehpxGmQaWRpLGjYaJRofGh8aHxojGjAaRBpSGlMaQhohGf0Z4RnJGasZhRlnGVIZQBkqGRkZDxkAGOQYxxi5GLMYphiNGHYYbRhwGG4YUBgTF8cXhhdNFwsWwBaGFmUWQBYCFboVhBVbFS8VBRTxFOkU0hS2FLcU3RUDFQ4VGBU/FXEVgRVgFSkU9RTOFLwUyBTkFOgUtBRNE9wTiRNlE2ITXxNDEwwSzRKbEn0SaRJMEh8R5RGhEVEQ9BCbEFwQPhAuEBUP7g+9D4QPQA79DsYOnQ50DkUOFg3oDbYNgA1QDTANEwzrDLUMgwxcDDoMDgvdC7kLrwuvC5kLZAspCwgLBAsDCu4KwAp5Ch8J1gnSChcKWwpOCfMJmQl2CXIJYwlMCUQJOwkJCLIIawhXCFoIRAgJB8cHmweIB4IHfwd5B2sHVQc+ByQHCQbvBtgGxQa5BroGxAbHBrUGlQZ7Bm0GYQZYBmAGfgahBrQGtAasBp8GiQZrBksGKwYLBesF0AW8BaYFiwVyBWEFXQViBW8FfQWDBX0FbAVYBUMFMAUhBRoFHwUsBTwFTAVaBWIFYQVZBVQFWwVsBXoFfAVyBWgFZgVvBX4FkQWlBb4F3gYCBiQGQAZbBngGkQagBqMGnwaWBoIGZgZRBlEGagaUBsYG9wcRBwUG2wazBqYGrwa0BqQGgwZeBkEGLQYdBgsF9QXeBcYFsAWaBYkFfgV0BWYFTwUwBQ8E8wTZBL8EoQSHBHMEYwRPBDQEFwP8A+QDyQOuA5MDeANYAzMDDQLoAsUCowKGAnICZQJWAkICKQIPAfYB3QG/AZ8BgAFmAU4BMwETAPEAzgCmAHsAUAAsAAr/6f/H/6P/fP9R/yT++/7V/q/+hv5e/jb+Df3f/bD9gv1W/Sz8//zS/Kb8fvxU/Cj7+/vT+7D7iftc+y77Bfrh+r36mfp1+lD6KvoD+d35u/mc+X75Xfk4+RP48/jX+Lr4mfh6+F74Qvgl+Af37PfO9673j/d29133PfcY9vb22fa99p/2gfZk9kb2J/YI9er1zvWz9Zv1hPVt9Vj1RvU19SL1EPUA9O/03fTP9Mr0yfTE9Lr0s/Su9Kn0pfSn9K/0tPSz9LD0svS49MD0yvTW9OP08vUD9RP1IPUr9Tr1TPVf9XD1f/WO9Zz1rPXA9db16/X+9hT2LfZI9mH2e/aW9q72xfbc9vT3C/cj9z/3X/d995f3svfR9/D4C/gm+EH4XPh2+JL4rfjH+OH4/vke+Tr5VPly+ZT5s/nO+ev6DPot+kn6Z/qK+qv6xvrg+v77HPs2+1D7a/uE+5r7svvQ+/D8C/wi/Dr8Ufxl/Hr8lfy1/NX89v0Z/T39Xf13/Y39pf3C/eX+DP4v/kz+Zv6C/p3+uf7a/v7/Hf84/1f/ef+V/6j/u//YAAMANwBvAKAAwADYAPgBHAE0ATwBSAFiAYABmgG9AfMCLAJdAo0CxALzAxIDNQNuA7AD5QQbBGYEtQTmBPsFEgUwBT0FNwU3BTgFFgTDBGgENQQqBDcEawTzBfYHagj+CjAKlQodCRQH4QbyBqYHDQefB5IGrAWGBNkEswSYBDQDqgM5AusCqgJxAkgCKgIMAd8BkAEYAJYAPAAX//3/x/9//0T/F/7j/pb+Mv3A/Vn9JP07/YH9r/2a/Vn9Kv0p/TX9HfzY/Ij8Qvv8+6L7PPrl+qv6gvpd+jf6E/nx+cb5hPkp+MX4bPgk9+D3l/dN9wz21fan9oD2U/YG9Zf1I/TI9Hv0I/PH85DzjPOg86rzpfOg85/zm/OX85/zvPPf8+/z2fOk82rzQvMr8x3zHPMy813zlfPc9DT0ifS/9Mr0uvSf9ID0YfRI9Czz/fPF86HzofO589r0CPRF9IH0q/TJ9On1EfU+9Xb1u/YB9jv2dPa89w73V/eR98n4B/hG+IL4vvj8+Tv5fvnG+hH6Wfqc+t/7JPto+6z78Pw2/Hr8vf0F/VH9nP3j/in+cP62/vn/N/9y/6//9QA+AH0AsQDmAScBagGfAcYB7AISAi4CQgJaAoACqwLRAvADDAMmAzsDTQNgA3IDhQOZA7ADxwPZA+oEAAQdBD8EXwR2BIIEiQSRBJ4ErQTABNgE9QUSBSwFRgVjBX0FkgWlBbkFzgXkBfcGBgYPBhIGEwYZBiUGOQZQBmcGeAaDBo0GmAajBrAGxAbhBwQHJAdAB1UHYwdmB2kHdAeJB6IHuAfPB+oIBQgUCBcIFggbCC0ISghqCH0IeghoCGIIfQizCOwJEgklCSsJLAkmCRUI9gjLCKMIjgiSCJwImwiOCH0IaAhGCBcH3geZB1IHJAcrB2EHlQejB44HcQdWBzsHHAcABugG1AbIBqwGrAakBpYGigZ5BlsGMgYOBfcF6AXcBdMFyAW7BbIFwAXnBiAGYQaqBv4HUQeTB7gHvgeqB4YHWAcdBtkGpQasBvcHTgdqBzoG8Qa5BoIGIAWcBTcFIwVFBVoFOwT3BK4EbQQvA/ADsANzAz0DEwLxAsgCkwJiAj8CGwHgAY4BPAD8ANAAsgCWAGMAA/95/ur+dv4g/dn9mv1j/S389Py5/IL8UPwf+/P70/u++6/7ofuU+4r7iPuO+5r7o/un+6j7rPux+7X7vPvF+8j7wvu7+7j7uPuz+6z7qPul+6D7nfuf+6f7s/vH+9n7zvuf+2v7VftX+0f7FfrX+qz6mfqd+rz68fse+y/7MPs8+077RvsN+rf6bPpE+i/6CPnF+Yf5c/l7+Wv5LPjm+M/45/j4+Nr4m/hk+ED4FvfL91/27/aR9kb1+/Wo9VP1A/S29Gf0JfQC9AT0H/RA9FL0RvQW88vzdPMY8rjyWfID8bjxe/FQ8TnxI/Dq8HPvw+7+7lDtz+137TztFOz97OLsrOxd7BXr6evH643rQ+sW6ynrbuu269jrweuA60DrLutJ62XrXus76xfq+erT6qLqcupK6ibp+unI6ZPpYuk76Rzo+ujO6Jvoaeg66Ajn0+ee52nnL+bx5rPmduY55fnlu+WG5VTlH+Tj5KHkWuQQ48jjhONC4vrirOJX4gHhq+FU4P7gpuBN3/Lfld893urel94/3eDdgN0j3MvcftxB3A/b2tuR2zja4dqg2nHaRdoR2eTZ3doN2lzai9pp2fzZe9kg2PvY7tjQ2JPYSNgK1+HXxdep14jXZNdE1zXXPddT12TXXNc81xHW7dbb1t3W79cD1xHXHdcy11LXedek19fYEdhQ2JXY5Nk+2aDaDNqC2vfbXdu63Bzci90A3Xjd/N6N3xnfmeAe4L3hcuIk4sbjY+QC5KPlQuXb5mrm+uen6H3pV+n06kLqceq96yzrn+v87DnsUOxR7Gzs1+2R7mDvC++K7+nwKvBZ8KTxPPIR8t7zePQJ9N31+/cZ9+X4WPin+QD5Z/nR+j/6vPtD+8b8O/yk/Qj9Zv3H/jD+of8P/27/vgADAEUAiwDTARcBVAGSAd0COgKfAwgDcQPZBEQEtgU0BbAGGwZ2BtIHOAeYB+EIFwhPCJQI5gk7CZIJ6gpACpUK6gtCC58MAgxmDMQNGw12DdoOSg7OD3AQKhDdEWkR1BI2Eo4SzBMDE2gUEhTLFUsViBWoFb0VtBWTFYkVqxXPFcoVthXGFf4WOBZqFq8XBBdHF2wXlhfXGBkYTxiTGPIZSBl7GagZ7ho4GmwaohrpGxIbBxsnG9IcmRyBGzUZgBhTF8wXiReJGA8Y6xl/GYQZWRl1GegaiBszG8EcAxwGHBccUhx6HGEcPhxaHJkcrByNHHwckRyZHGkcEhvAG4kbbRtoG2QbThstGxkbFhsPGvsa6RrfGtUaxBqzGqUakxp9GnEabxpmGk8aOho2Gj0aRBpNGlwabhp4GnYaZhpHGiEaABnkGcIZmhl6GWcZVBk7GSUZGxkRGPwY4hjVGNIYyBivGJEYfxh8GHcYWBgXF84Xmhd2Fz8W6haXFl4WMxX8FbwVhhVaFSsVBxUCFQ4VAxTkFNoU+RUmFTwVRBVZFXsVjBV5FU4VIRUFFQIVFBUiFQ0UzBRrFAITrBN9E3UTeBNlEzES7hK3EpUSfBJbEi4R+xHGEYMRLBDMEH8QUhA1EBMP6Q/AD5cPZQ8qDvMOyA6fDnAOPA4HDdMNoA11DVMNMg0DDMkMkAxkDEAMGAvoC8MLuAu7C60LfwtKCyoLHQsQCvcKzwqQCjsJ/AoTCnoKzwqwCi8JswmDCYEJeQllCV0JVgkqCNYIighsCG0IYgg1B/YHwweoB6AHnQeUB4cHeAdmB00HMAcVBv8G7QbhBuAG6gbtBtwGvgaiBo0GewZvBnQGiwanBrcGuQawBp4GiAZyBl0GRgYqBg4F9QXeBcMFogWCBWwFZAVqBXYFgQWGBYMFegVpBVQFQAUzBS8FMAU0BTsFRwVYBWgFcQVuBWcFaAV2BYQFhgV9BXUFdwWBBY0FmwWsBcIF3QX8BhkGMAZHBmMGgAaTBpsGoAakBqAGjwZ5Bm4GdQaNBrQG5gcTByAHAwbPBqUGmAaeBqAGkAZzBlUGPgYsBhkGAQXnBc0FsgWbBYsFgwV9BXIFYgVNBTQFGAT6BNoEuQScBIYEdgRgBEAEHAP9A+MDywOxA5kDgQNoA0oDKgMMAu4C0gK6AqkCmgKIAnACUwI4Ah8CBQHlAcEBngGCAWcBSgEoAQQA4AC4AI0AYwBAACEAA//k/8H/mP9s/0H/Gf7y/sv+of53/lD+J/38/c39nf1w/UX9Gfzr/L78lfxv/Ef8Hvv5+9j7tPuJ+1z7NPsQ+uv6xPqe+nr6Vvou+gb54fnB+aL5gvlf+T35HvkB+OL4wvij+If4avhL+C34EPfw9873rfeS93j3WPc09xP29vba9rz2nvaB9mP2RPYm9gz18/Xa9cP1rvWY9YP1b/Vc9Uj1NPUj9RL0//Tu9OX04vTg9Nv01vTR9Mr0xPTE9Mr00PTR9NH01fTb9OP07fT59Qj1FvUm9Tb1Q/VQ9V71cfWD9ZH1n/Wu9b710PXk9fj2CvYa9i72R/Zh9nr2lPav9sj23vb09wv3Ifc290/3bveN96j3w/fh+AD4Hfg4+FL4bfiH+KH4ufjQ+On5BPkh+Tv5VPly+ZP5sPnK+eb6Bfoj+j76W/p++p/6u/rT+u37CPsh+z37Wvt1+4r7n/u7+9j78fwI/CP8QPxa/HL8j/y0/Nn8/P0e/UD9Yf1//Zj9rv3H/ef+C/4t/kn+Zf6C/p3+uf7Y/vr/Fv8s/0X/aP+I/57/rv/H/+8AHwBQAHkAlACqAMUA5wECAREBIwFAAWMBhwGyAeYCFgI8AmgCowLXAvgDGgNYA6oD7QQdBFAEjAS7BNgE8QUMBR8FJAUgBQUEwARmBDcEUQSOBL4E+AWKBqAIFQmKCo8K0wo6CQAHqAbKBrIHHgdnBwoGKQVjBSMFOwU1BN0EWgPhA34DKgLkAq8CiQJrAkIB9AF3APIAmQB0AFkAJf/i/63/iP9Z/wf+kP4I/Y79Sf1K/Xn9oP2U/V79Lv0s/Uj9T/0i/NP8gfwu+837X/r/+sL6ovqK+mr6QfoO+c/5gPkm+ND4iPhL+Az3xveC90P3CvbS9p72Y/YQ9ab1QPTx9Kr0VvQB89Dz0vPs8/3z+vPr89vzzfPI89Tz9PQc9DH0HvPo86vzgfNt82fzb/OF86HzwfPz9EH0lvTP9N701PTB9KX0hPRl9ET0FfPg87/zxPPh9AX0L/Rk9Jr0x/Tu9RP1NfVX9Yb1yPYL9kL2dva59wr3VfeT9834CvhJ+If4xPkC+T/5f/nJ+hb6X/qh+uX7Lvt2+7j7+Pw7/ID8xv0O/VX9nP3j/iv+c/65/v3/PP92/7D/8AA0AG8AnwDUARoBaAGpAdcB+wIcAjUCRgJaAnwCpgLOAu4DCAMdAy0DPgNQA2QDeQONA6IDtgPJA9wD9AQQBC8ESgRdBGoEdASABI0EnASuBMUE3ATzBQoFJgVDBVwFcQWFBZsFsgXIBd0F7wX6Bf4GAQYHBhEGIQY2Bk4GZAZzBnwGgwaJBpIGpQbCBuQHBAcgBzUHPwdAB0EHTAdiB3oHjwemB8QH4wf6CAcIDwgaCCkIOwhKCEwIPAgkCB0IOAhuCKQIwwjHCLoIpgiSCIAIbghYCEMINgg0CDUIMAgoCB8IEAfxB8IHhQc/Bv0G2wbsByEHTgdVBzsHFwb3Bt0GzQbFBr0GswasBpEGkAaKBoMGfAZuBlMGNQYeBhAGAwXzBd8FxQWjBYsFjwWwBdwGDwZOBpoG4gcaB0EHVgdUBzcHBAbFBoUGXAZpBqQG2AbQBpkGbwZoBlYGAAV9BR8FEwUxBTIFAAS5BHwERgQFA7YDZwMjAu8CxwKiAnICNQH6AcsBoAFnAR4A1wCdAHIAUgA1AAv/wP9V/uD+ef4h/dD9g/0+/Pz8t/xy/DL7+vvC+4j7Vvs2+zD7OftC+0H7P/tH+1j7Zvts+3D7evuG+5D7l/ud+5/7n/ug+6P7ovua+5L7kfuR+4/7kPuV+5v7qfvG++b75Pux+3f7Yvtm+0v6/vqm+nX6cvqJ+qv60vry+wP7C/sV+xz7CvrU+oj6QvoY+gb57fm6+YP5bfl2+Wn5J/jU+Kn4qfij+Hb4NPf/9973uvd/9y320vZ79iz14vWa9Vj1GPTS9IL0OvQS9BL0LfRL9Ff0QPQD87HzXPMH8qnyQ/Hk8Z7xcfFV8TjxAvCe8ATvRe6G7ertfe0x7Pbsx+yr7JnsfOxL7Brr+evc663rd+tl64/r1ewD6/nrwOt760/rUOtp63PrXOs26xXq+OrP6pjqZOo86hjp8enH6Z7pc+lF6Rfo6ei86JDoY+gw5/jnwOeN513nJ+bq5qvma+Yq5eflqOVu5TjlAuTI5IrkR+QD48PjheNC4vnireJg4hLhweFv4R7gzeB04BTfs99a3wber95Q3erdh90t3N3cl9xZ3CDb39uQ2zra69qt2n3aTdoV2eLZz9n12kfaiNp82hjZk9ky2QjY9tjR2I7YRNgI1+HXxNeo14fXY9dF1zrXSddn137Xgtdy11XXNdcc1xXXIdcw1zfXPtdS13TXmdfA1/HYLNhs2K/Y+9lW2bzaJtqS2vnbUtui2/3cctz73YveGt6i3x/flOAX4LPhX+IH4qfjSuPy5JjlN+XS5mbm+Oeh6HHpSunw6kXqdeq+6y7rpuwK7FLsfOyQ7Kjs7+127i7u9O+x8E7wvvEN8Wrx9/Kh8y/zi/Pe9Gr1PfYx9xf35viq+V355/pH+p37C/uO/Ar8bfzB/Rz9f/3l/kn+sf8d/4L/1QAYAFwAqwEBAU8BkwHcAjQClgL5A1sDvgQjBIwE/gV9BfwGZga4BwoHagfPCCUIZwihCOEJKQl5Cc0KJQp8CtELJgt+C+EMSgytDQANTA2oDhsOmg8iD78QcBEVEZQR+xJmEtETHRNRE6UUNxTeFVsVohXQFegV0xWbFXgVhhWeFZkVjBWkFeEWGxZGFoAW0BcTFzoXYxelF+4YKhhpGL4ZGBlcGZQZ1BoTGkkajBriGxsbHBs8G9EcdxxBGtAY3RdsFssWqRbQF0sYABiZGPEZNRmSGgkamRtFG+ccORw9HD0cZxyQHI4chxytHN8c2xyrHJAcnhyoHIMcPBvxG7UbjxuBG3sbaBtMGzobMhslGxAbAxr+GvMa4BrRGscauBqmGp4amxqLGm0aWBpaGmUabRp2GoUakhqWGpAaghplGjwaFhn5GdoZtxmYGYMZbxlTGToZLhkoGRgZAhjxGOcY3BjNGLoYqBicGI0YahgqF+YXvxeoF24XABaRFlQWPBYaFd4VnRVlFTEVDhUSFTEVPBUjFQsVHRVLFW0VdBVxFXQVeRVwFVcVOBUnFTAVQRU8FQ4UxBRwFBkTxxOOE3sTfRNxE0MTBBLMEqUShRJfEjISAxHWEaARUxD2EKAQZRA8EBQP6g/HD6oPhg9WDyEO8Q7FDpYOYQ4qDfUNxw2hDX4NVQ0hDOQMqQx4DFQMMAwHC+ALzAvIC70Lngt6C18LSQsqCwkK5wqyCmMKLgpcCtsLMwr4Ck4JtAl6CX4JfwlvCWcJYAk7CPQIrgiJCH4IbAhECBAH4wfKB8EHvAexB6IHlAeGB3MHWQc+ByYHFAcIBwYHCgcJBvsG5gbOBrcGnwaPBowGlwamBrEGtAaqBpQGfAZqBl8GUwZBBikGDwXzBdYFuQWbBX4FbAVqBXMFfQWBBYAFfAVvBVsFSgVDBUIFQgU/BT8FRQVRBWIFcQV0BW8FbQV2BX8FfgV5BX4FjwWhBagFqQWtBbsF0wXwBgsGHQYqBj8GWwZ2BoYGkQabBp0GkgaBBngGewaIBp8GxQb3BxwHGwbzBr4GmQaRBpcGlwaJBnMGWwZDBioGEAX3BdoFugWgBZAFigWDBXoFbwVkBVIFNwUTBOwExgSlBI4EfQRoBEsEKAQJA/ED2gPCA6wDmQOGA28DVQM7AyIDCwL1AuACzAK0ApYCdAJUAjgCGwH6AdUBsgGVAXsBXgE7ARUA7wDHAJwAcgBOAC8AFP/3/9b/sP+G/13/Nv8P/uT+uP6N/mf+Qv4Z/ez9uv2K/V/9Nv0J/Nn8rfyG/GH8PfwZ+/j71vuu+4X7X/s6+xP66/rG+qX6g/pc+jL6DPnp+cj5pvmD+WP5RPkl+QX45fjI+K34kPhv+E74MPgS9/D30Pez95j3ePdU9zP3Ffb49tr2vPag9oL2Y/ZH9jD2GvYC9er11PW/9ar1lvWD9W71WvVI9Tj1KPUX9Qv1BvUE9QH0+/Tx9Of03/Te9OP06fTu9PT0+vUA9QX1DvUb9Sr1OfVI9Vj1ZvV09YP1lfWl9bP1wPXQ9eL19fYI9hr2KfY59k32Z/aC9pn2r/bH9t729PcL9yP3OfdN92T3gPed97j30vfw+BH4MPhL+GT4fPiU+Kz4xPjb+PP5Dfkn+T/5WPlz+ZD5q/nF+eL6APoc+jT6UPpy+pL6rfrF+t769/sQ+yz7S/tn+377k/ut+8f73fvz/BH8NfxW/HT8lPy5/N38/v0d/Tr9Wf14/Zf9sf3K/eX+Bf4l/kH+Xf57/pf+sv7Q/vD/C/8e/zT/Vv97/5X/q//I/+8AFwA2AE4AYwB5AJUAuADXAO0BAQEdAUIBbwGgAdEB9gIVAkMChQLAAuIDAANAA5oD5gQQBDEEYASSBLcE1ATyBQwFEwT7BL0EagQ2BFYEwgUuBWkFpAY9B1YIuQoJCvELJgp8CSYHvgbwBukHOgdJBtoGOQXUBcgF2QXEBXYFBgSMBBYDrwNfAyIC8gLKApoCSwHaAWYBEwDjALsAiQBTACgAAf/J/27+7/5f/d39hf1j/Wv9ff13/VP9M/08/Wj9hP1l/Rb8tvxU++f7dPsX+uP6y/q1+pP6Zvow+e/5oPlJ+Pj4tfh6+Dr39Pes92v3Lfbz9rz2ffYq9cj1bfUo9Ov0ofRX9Cr0JvQ19D30MPQW8/zz6/Pp8/f0E/Qy9EP0NfQK89zzvPOv86/zv/PX8+Xz5/P79Db0g/S59Mr0yPTB9K/0jvRo9EL0FfPo89Dz3PP+9Cb0UfSC9LX04/UP9Tn1XvWA9a716vYn9lf2hfbA9wj3TPeJ98T4AfhA+ID4wvkC+T75fPnF+hT6Xfqg+uX7L/t6+777//xB/Ib8zf0U/Vj9mv3f/ij+cf62/vj/OP92/7L/8wA3AHEAoADUARsBbQGyAeAB/wIcAjUCSQJeAnwCogLJAukDAQMUAyQDNgNKA14DcgOFA5YDpwO5A88D6AQEBB4EMwREBFIEYgRyBIAEjQScBK8EwwTXBO8FDAUnBTwFSwVbBXEFigWlBcEF1wXjBeIF3gXdBeQF8wYLBioGRgZbBmsGdgaABosGmwayBssG4wb5BwoHEwcVBxgHJwdAB1sHdgeTB7QH1gfyCAUIEwgfCCgILwgyCCoIFQf+B/kIFQhHCHMIhAh6CGIIRwgxCCEIFggJB/oH7QfmB+MH3wfaB9AHvQedB3IHQgcOBuMG0gbkBwgHIQcfBwkG7QbSBr8GtgazBqsGnQaTBn4GfQZ6BngGdwZuBlsGSAY7BiwGFQX8BeQFxQWjBZAFmQWzBcwF5wYTBk0GggapBswG7gb6BuAGqAZqBjoGJQYuBkYGSAYlBf0F9gYIBfwFsQVOBRYFGAUkBQkEzQSUBG4ERAP8A5sDOgLoAqoCegJNAhoB3AGbAV0BJADoAKkAbgA7ABD/7f/R/6//df8e/rn+V/39/aX9TPz3/Kf8WfwL+8H7fvs8+vf6tvqP+o/6rfrN+t365Pry+wf7Fvsf+yz7QvtY+2T7a/tx+3f7fPuC+4X7gvt6+3b7ePt4+3f7fPuD+4f7lfvA+/j8BfvQ+4n7bftz+1P68vqD+kz6V/qC+qf6vfrM+tz68Pr/+vj60/qZ+ln6IPn7+e353/m8+Y35dvl6+Wz5KfjM+Iv4cPhX+Cb37PfA95/3ePdC9wH2t/Zp9hv10vWS9Vr1I/Ti9JX0UvQw9DL0R/RX9FH0KvPh84bzLPLY8nzyGPHB8YnxaPFF8QnwqPAg73juxu4j7aTtTe0S7N7sqeyB7HDsbuxk7ErsJev668/rsuu+6/DsI+wr6/zrtet962nrdOuB63rrXOs56xvq++rL6pLqXuo16hDp7OnM6a7piOlU6Rjo3+iv6IXoWegl5+vnsueB51LnHObg5qHmYuYg5dzlmuVc5SDk5uSs5G3kKePp47Hje+M84vLip+Jg4hrh0OGF4Tvg7uCX4Dbf1d963yLexd5g3ffdk9083PHcrtxu3Crb3duK2zna8tq12oDaTtoZ2eXZytnm2jjahtqH2ibZn9k+2RnZCNjZ2IrYOtgB197Xw9en14fXZtdM10bXWdd615XXn9eY14TXaNdP10bXTddX11jXWddq14vXsdfa2AvYSNiI2MfZENlp2c3aLtqJ2uLbOtuV3ADchN0b3bTeQt7B3zPfoeAZ4KbhQuHh4oPjLePd5IrlMeXW5nbnDeeu6G/pQenu6lHqhurI6zDrp+wN7FrslezE7O3tIe117fvutO+J8FjxB/Gg8j7y5vN489Hz+PQZ9F700/Vy9j/3RPh0+Zn6c/rv+zv7kfv+/GH8ovzX/SP9jv3//mf+yP8v/5X/7AAyAHcAywEnAX8BzwIlAocC7wNPA6gEAAReBMMFNwW4BjoGpgb6B0UHmwf8CFoIrQjyCTMJdgnDChYKawq+CxMLagvEDCYMkAzyDUQNkw36DnwPAg+AEAIQkREaEYsR9xJ9ExAThBPNFBQUfBT3FWIVthX7Fh4WARW2FXkVahVuFV8VSxVWFYgVwhX4FjkWhxbJFvQXIBdjF64X7BgnGHIYxxkSGVcZoxnyGjkafxrMGwcbJRtdG9scQxvYGkwYORaTFdMVzxY1FswXcBgMGKgZTxnnGlcawRtZHAIcaRxzHGccfxyoHLwcyxzyHRIdABzLHKkcrByuHJAcWRwZG9wbrxubG5UbiRt2G2YbVhs+GycbHhsaGwoa7xreGtwa2xrVGs8axRquGpAagxqKGpIakhqVGqIarhqvGqkamhp7Gk4aJBoHGe8Z0xm4GaMZjhl0GV0ZThlDGTUZJBkRGP4Y8BjrGOcY2BjCGK0YiRhIGAAX3BfTF58XJBaiFmYWYxZSFhMVxhWJFVgVNBU1FVcVbxVcFToVOxVmFZUVphWaFYcVeRVvFV0VRRU4FUMVUhVBFQMUsRRlFCAT2xOjE4kThhN6E1UTHBLhEqwSfhJUEisSBBHdEbARcBEcEMUQgBBQECsQBg/iD8EPnQ9yD0IPFA7oDroOhg5NDhcN7Q3ODawNfQ1EDQcMzQycDHYMUgwoC/wL3wvVC88LwQutC5gLewtSCy4LEgriCo8KTApmCtULHwrhCj8JtQmKCZUJlAl/CW0JXwk+CQcI0AioCIsIawhGCCEIAgfsB98H1wfLB7oHqQedB5EHgAdqB1MHPwcyBysHJgchBxkHDgb9BuMGxAasBqAGngahBqcGqwakBpEGewZrBmMGWwZOBjkGGgX5Bd8FzgW5BZkFeAVpBW0FdQV4BXkFdwVvBV8FUwVRBVMFUQVNBUoFSgVOBVgFZQVsBW0FbwV1BXgFcQVtBYAFpgXGBc8FxQW7BbsFygXjBfwGCwYRBhoGMQZPBmgGeQaEBokGgwZ6BngGgQaPBpwGsQbVBwAHGwcQBuUGtAaVBo0GjgaMBoMGcgZZBj0GIgYJBesFyAWoBZcFjwWHBXsFcQVqBVwFQQUdBPYE0gSzBJoEiQR3BGAERAQqBBMD/APkA88DvQOtA5kDgQNoA1ADOQMgAwcC7QLRArECjwJsAk0CLwIPAesByAGqAY8BcQFOASUA/QDVAKwAhABgAEAAJQAK/+z/yf+j/37/V/8s/v7+z/6l/n7+W/42/gv92f2o/Xz9Vf0q/Pn8yvyi/H/8W/w2/BL78PvM+6f7gvtc+zX7Dfrr+s36rPqG+l76OvoX+fT5z/mr+Yn5aPlG+ST5BPjo+M74sfiP+G74Ufg1+Bj3+ffb9733m/d391b3OPca9vr23PbB9qP2hfZr9lX2QPYm9gz19fXh9cz1uPWm9ZP1fvVs9V/1U/VG9Tr1MvUu9Sn1HvUQ9QP0/PT69P71BPUL9RT1HfUi9ST1K/U59Ur1XPVs9Xz1ivWX9ab1t/XG9dP14vXz9gb2F/Yo9jj2SfZa9nD2jPam9rv2zfbh9vb3C/cg9zj3T/dk93r3k/et98b34PgA+CL4Q/he+Hb4jPig+LX4zPjm+P75Ffks+UT5Xfl2+Y/5p/nB+d75+/oW+i76Svpp+ob6oPq5+tX68PsK+yX7Qvtf+3f7jvun+7/71Pvr/Ar8MPxW/Hj8mvy7/Nv8+v0Y/TP9Tf1q/Yr9qf3D/d39/f4c/jf+UP5t/or+pf7B/t/++f8N/yT/RP9o/4T/nf+//+kACwAdACgANwBNAGsAkAC1ANIA6AEBASQBUgGDAbAB0wH0AiYCagKnAsoC6AMnA4MDzwP2BA8EOgRyBJ8EwATgBPgE8QS8BGsEMQRGBLkFVAXIBgMGTgb7CBIJUgpyCzALRQqACRsHxAccBy4HdAd0BygG1wauBpsGfAZIBgEFoQUjBJ4ELwPfA6UDcQM+Av8CqgJHAekBoAFmATEBAgDZALAAewAx/8n/SP67/jn91/2d/Yj9h/1//WL9SP1U/YL9o/2L/T383Px2/Aj7m/tK+yD7C/rv+sP6kfpd+iH51vl/+Sv44vih+F34FvfN94j3RvcK9tX2nfZV9f/1svV59Uf1CvTK9Jv0ifSD9Hj0XvQ79Bz0CvQJ9BP0IPQu9DX0LvQb9Ajz+/Py8/P0BfQe9CP0D/QF9Cb0Y/SQ9KD0qPSy9K70jvRe9Cvz/PPV88jz3fQG9DT0Y/SX9Mz0/PUp9VX1f/Wo9dj2EfZK9nr2p/ba9xL3S/eD9733+fg1+HX4u/j++Tz5efnA+gz6Vfqa+t/7Kftz+7v8AfxG/Ir80P0V/Vb9lf3V/hr+X/6i/uP/JP9m/6j/7gAzAG8AoADTARgBaAGsAdsB+wIYAjYCUQJpAoMCowLDAt8C9gMKAx8DNQNKA10DbgN/A5ADoAOyA8cD4QP8BBQEKAQ4BEYEVwRnBHQEfgSKBJoErgTDBN0E+QUPBRwFIgUsBT8FWgV8BZ8FugXDBb0FswWuBbQFxwXlBggGKAY+Bk4GWQZjBm0GegaLBp4GsQbFBtkG5wbwBvsHDgcqB0sHbAeNB64HygffB+0H+AgBCAkIEggbCBwIDwf8B/UIBwgnCD8IPggrCBQIAgf1B+wH5AfWB8QHsQemB6IHnweZB4sHdAdYBz4HKQcWBwgHAwcKBxEHDQcABvEG4AbNBrwGsgaoBpkGiAZ+BncGeQZ5BnsGfgZ4BmoGXQZPBjcGFQX3BeEFygW0Ba4FvwXSBdcF3AX1Bh0GPQZTBnEGlAajBocGTgYZBfwF+AX8BfMFzQWaBX4FhwWXBYAFRAUQBQYFEgUHBNYEnQR6BGYEPwPwA4MDEwKzAmgCLgH7AccBigFEAPwAtwB5AEMAE//m/7v/l/96/1v/KP7Y/nf+GP3B/Wn9B/yh/EH76/ub+077BPq6+mv6H/nv+fH6HvpW+nz6kvqk+rf6xfrU+u/7E/su+zr7QftL+1b7Xfte+1v7VftT+1n7X/td+1j7XPtn+277gPu4/AH8Gvvl+5r7g/uQ+2/6+vpw+ir6P/p8+qj6tPqx+rv62fru+uD6rvp1+kj6JPoG+fL54fnC+Zv5hvmI+Xj5M/jR+IP4Vfgs9/b3w/eh94T3W/cj9uP2oPZY9hD1yfWH9Uz1E/TV9JL0XPRH9E70WvRY9D/0CvO581by9vKe8kbx7/Gp8XvxUvES8KzwKO+S7vTuWu3R7WftI+z87Njsp+x17GDscuyN7IfsWewd6/Pr7uwL7DPsRuwr6+3rrOuH64PrjeuP633rX+s+6x7q9urD6o7qYOo56hTp8+nY6b/pnOln6Sbo5uiu6H/oUOgc5+PnrOd650bnDubT5pjmWuYX5dLlj+VO5Q7k0+SX5FXkDOPI45TjZuMu4unioeJf4h7h2uGU4U/hBuCy4FXf99+a3zve195w3grdqN1R3Qbcw9x+3DHb29uF2zfa89q22n/aUNoj2fTZ1Nnk2i/af9qC2iLZm9lC2SrZINjt2JXYP9gF1+TXyNer14vXbddW11DXYNd+15rXqdeo15jXftdm11/XaNdy13LXcNd715jXvdfm2BjYU9iP2MnZDNlh2b3aEtpg2rbbHduX3CDcs91J3dneYd7f31Pfu+Ai4JrhKeHI4nDjIOPV5InlPuXz5p3nM+fF6G/pMOnc6kzqjOrN6y3rnewB7E7slOzd7SXtYe2X7efubu8t8Abw4fHB8qzzh/Qm9HL0iPSU9Kz01vUh9bj2vfgl+aD6zft/+9r8Ifxy/Lb82Pzy/TD9m/4W/oL+4f9B/6YAAgBQAJsA8AFOAasCBQJjAsoDNAOVA+kEOQSPBPMFaQXsBm4G3Qc2B4IHzQgiCH8I3QkvCXQJuQoHClkKqQr3C00LqwwKDGcMyg0uDY0N7g5lDvAPcg/aEDcQnREHEXAR7xKZE1gT9hRaFJsU3RUnFXQVxxYYFkYWMRXqFaQVfxVnFT8VDBTwFQUVQRWPFd8WJRZcFo0WxRcLF1IXkBfOGBgYZRipGO0ZRRmvGhMaXxqfGt8bKhuFG98b6hs6GawXrhYAFS0VShYFFu0XuBhnGSQZ7BqDGsga+xttHA4cfxyVHIgcmRy/HNsc7x0OHSMdEhzoHM0cxxy7HJgcYxwpG/IbxxuzG6wbpBuZG44bfRtjG00bRRtAGykbCBr0GvMa8xruGuYa2RrEGrAarRq1GrcarxqtGrgaxRrJGsYauBqXGmcaOxoeGggZ7RnRGboZphmTGYIZcRldGU4ZRRk4GSEZDhkOGRAY/hjhGMwYqxhgGAUX3hfwF+IXeBbtFqIWmhaGFj8V7hW4FZIVbxVkFXwVlBWJFWcVXRV+FbAVzhXOFbkVoBWJFXAVURU7FT8VThVCFQgUtRRoFCkT8hPGE60ToRORE3ATPBL5Eq8SbxJCEiQSBxHkEbwRhhE/EO0QpBByEFEQMBAGD9YPpw99D1YPMA8JDt8OrA5wDjgOEg34DdcNpA1lDSgM9AzHDJ8MeAxGDBIL7wvlC+YL4QvVC8ULqQuAC1sLPwsPCrMKVQpCCoQKvwqeCjYJ4gnRCdsJ0QmvCYsJaQk/CREI6wjKCKIIcwhLCDEIHQgJB/cH6wfgB84HugerB6EHmQeMB3wHbAdcB00HQgc6BzYHMAceBv8G2wa+BqwGpQakBqgGrAapBp0GjgaABnMGZgZXBkAGHQX6BecF4wXZBbcFjAVxBW0FcAVxBXEFcwVwBWYFYAViBWUFYgVcBVcFVAVRBVIFWgVkBWoFbwV1BXMFaAVkBX0FrwXdBfAF7AXfBdMFzwXZBe0F/QYDBgYGEgYpBkQGWwZtBnoGfQZ6BnwGigacBqkGsAbABuEHCAcZBwUG1gaoBooGfAZ3BnUGcAZiBkoGMQYYBfoF1QWzBZwFkAWEBXcFbAVkBVgFQAUjBQYE7ATSBLkEpASSBH8EaQRSBDoEIgQKA/UD5APRA7oDoAOGA28DVwM8Ax4DAALjAsYCpgKGAmgCSwItAgoB5gHEAaUBhQFgATgBDgDnAMIAngB7AFoAPAAfAAH/4f/A/5z/dP9G/xb+6P6+/pj+df5S/ir9+v3I/Zv9dP1L/Rv87PzD/J/8efxR/Cr8B/vm+8P7nvt4+1H7LfsP+vP60vqs+of6ZvpH+iX5//nZ+bT5j/lr+Uj5KPkM+PH40/ix+JD4dPhb+EH4I/gC9+D3vfea93r3XPc99x32//bj9sf2qPaO9nj2YfZF9iv2FfYC9e312PXG9bX1ovWR9YX1ffV09Wr1YPVZ9U/1QfUx9ST1HvUc9R/1JPUr9TP1O/U+9UD1RfVU9Wn1fvWP9Z31qfW29cb11/Xm9fT2A/YV9if2N/ZH9lj2a/Z+9pX2r/bH9tj25/b69w73Ivc190v3Y/d694/3pfe+99f38vgS+DT4VPhv+If4nPiu+L740/jt+QX5Gfku+Ub5YPl4+Y75pPm8+dj59PoP+in6Rfpj+n76mPqy+tD67vsK+yb7Q/tf+3f7j/un+7/71vvw/A/8M/xW/Hr8m/y4/NL88P0R/S79R/1f/Xz9mf20/dD98v4S/iv+Qf5b/nr+l/6x/sv+5P76/xL/Mf9S/2v/gf+i/8r/6//7AAQAEwApAEYAawCUALgA1ADuARABOQFlAY8BtgHdAg4CSwKCAqoC0AMQA2YDsQPbA/gEJwRjBJUEtQTLBNIEsgRqBCQEIQSABSEFuwYkBnQG8AfBCMwJ1wq0CzULFQouCM0HpQc3B2YHrAe2B5wHigd6B0sHAwbBBoQGKwWnBRkEqARdBCYD9QPAA3sDIgLCAm4CKgHrAa8BfgFUASQA4wCNACL/of8X/pr+Of39/eL91/3D/Zb9af1l/Yn9pv2P/Un89Pya/Dj71/uS+3H7X/tB+xL63Pqk+mX6F/m9+WD5C/i9+HP4K/fm96L3Xvcg9uz2u/Z+9jf1+PXJ9Z/1a/Ux9QH04vTK9K/0jfRm9ET0MPQq9Cr0KPQn9Cr0L/Q29D30PvQ39DP0RfRg9GP0QPQd9CL0RvRl9HT0iPSl9LL0lvRY9BHz0fOo86Lzw/P49C70YfSY9ND1A/U09WT1lfXE9ff2LvZn9pz2zvb+9yz3WveO98f3//g2+HL4tvj9+T75ffm/+gT6SvqR+tn7Ivtq+7X8AfxK/I780P0T/VP9jf3E/gH+Qf6C/sL/BP9J/4//2AAfAF0AkQDGAQcBUgGXAcwB9QIZAj0CXgJ4Ao8CpgK+AtYC6wL/AxgDMgNJA1oDagN+A5QDqAO6A84D5QP+BBYEKwQ7BEcEUwRgBGsEdAR+BI0EoAS1BMwE4wTzBPkE+wUDBRYFMwVXBXoFkAWVBYwFhAWFBZEFqQXIBekGBAYTBhkGGQYWBhYGIAYzBksGZQaBBp0GtQbIBtkG7gcKBysHTwdwB4wHoAetB7YHvwfKB9gH6wgECBkIHggTCAkICggSCBAH/QfjB9AHyAfDB78HtgelB4wHcwdjB10HXQdcB1MHRQc5BzcHPAdEB0cHRAc6ByYHCwb0BuYG2AbFBrEGogaVBoQGdgZzBnwGggaGBowGjgaGBncGaAZVBjYGEQX3BeoF3gXSBdQF4wXqBeIF3QXrBgMGEQYZBisGQwZIBi8GBgXjBdAFzAXKBbcFhwVPBTIFNQU2BRoE9QTsBP0FAQTcBJ0EagRSBEEEGQPMA2MC9AKRAkAB/wHFAYoBRgD3AKQAWwAk//v/1f+s/4L/W/87/xb+3v6K/if9y/17/Sj8wPxH+9X7ePsu+uz6qvpi+g/5ufl++Xz5r/n1+iz6TPpf+mv6dvqM+rP63fr4+wP7Dfse+yz7MPst+yf7JPsp+zb7P/s6+zP7O/tQ+2D7d/ur++/8B/vd+6r7rvvL+6L7Efpn+hD6J/px+qb6rfqd+p76uPrN+rj6g/pV+kD6M/oc+f/54vm/+Z75kvmc+ZH5Uvjz+KP4afgs9+L3pPeF93T3Vvcf9tj2jPZC9f31uPVy9S708vS59IL0WPRK9FH0V/RJ9CTz5/OR8yzyyvJz8iLx1/Ga8WTxHvCz8Crvme8M7oPt/e2B7Rzs3uzD7LLsi+xX7ELsZuyf7K/sgew+7BrsI+w/7E/sQuwX69/rr+uW65PrleuO63vrX+tA6xrq7eq96pHqa+pH6iLqAeno6dDpr+l/6ULo/ui96IPoTugX597np+dx5zvnBObL5pHmUeYM5cflheVF5QfkzOSQ5Evj/uO143zjTeMa4tzim+Jb4hrh2OGY4VrhFODD4G3gFN+231De5t5+3h3dwN1p3Rzc1NyL3Djb3tuH2zra9tq52oXaW9o12gnZ49no2ibacNp12hnZmNlJ2TzZN9kF2KvYVNgb1/jX2de415jXe9dj11jXX9d215LXp9et15/XhNds12XXb9d914LXgteK16DXwNfn2BbYSth/2LTY89lE2ZrZ6do12pPbEdup3Efc3d1m3efebN7y323f0uAr4JXhI+HN4n7jLePd5JflW+Yb5sbnUufR6GHpCemq6iHqceq/6yTrlOvz7Dvsg+zh7Uztpe3d7gruWu7l75/wdfFl8m7zbfQv9J/01/T39Qr1FPUx9Zr2gvfk+XT6zPuv/C/8hPzO/P/9EP0d/VL9uP4v/pr+9/9T/7MAEQBqAMEBGwF6AdoCOAKXAvwDZgPMBCQEcQTDBSYFnAYdBpkHCQdqB7wIAwhMCKIJAQlZCaMJ7Ao9Co8K2gsmC4ML7wxVDK4NCQ1uDdoOSg7FD0cPuBAMEFAQnBD3EWcSABLME6kUXhTOFQwVORVkFZgV2xYkFlQWUxYmFe0VvBWQFVQVAhS2FJ4U0BUuFYUVvxXvFi8WfhbGFv8XNBd0F78YBRg8GHIYxBk4GbAaCBpMGqUbJRufG8kbbhp9GQcXSRW7FOoVJhY1F4QYmRlsGikazxsoGykbKBt7HAscfByfHKEctRzSHOIc7B0BHRUdEBz5HOsc5RzSHKUcbBw2HAkb6BvUG8UbuBuuG6YbmhuGG3UbbRtlG08bNBsjGxobDxsAGvQa6hrdGtEazxrSGs8ayRrKGtQa3xrlGuYa2Rq5Go0aZxpJGisaCxnsGdAZuhmsGaMZkBl1GWMZYxlgGUoZMxkzGTYZHxj9GOkYyRhrF/MXyRgHGDsX9hdiFvUWzRanFlkWCxXhFcUVoRWJFZUVrhWvFZsVkhWkFcQV4RXvFekV0hWzFY8VZRVAFTUVQhVGFSEU1hSEFEIUERPvE9kTxhOuE4wTWBMNErISYhIyEh0SChHqEcMRlRFaEREQyxCXEHMQUBAhD+kPtA+JD2gPSQ8pDwUO1g6dDmcOQw4rDggNzw2LDU4NHgz2DNAMpgxvDDQMCQv8C/0L+QvvC+YL1QuyC4ULXAslCssKZQo1ClMKhgqJCloKLQoiCiMKFAnxCcAJgwlCCRQJAAjuCMQIhwhWCD0IMQghCA0H/QfwB98HyQezB6MHmQeVB5EHigd7B2gHWQdRB0wHQgctBw0G6wbPBr0GtAa0BrkGvAa5BrAGpgaZBoYGcAZaBkEGIAYBBfQF+AXzBdQFpwWFBXYFbwVqBWoFbwVwBWsFawV0BXwFeQVvBWYFXgVXBVQFWwVmBW0FcgV1BXQFawVnBXoFpQXTBfMGAgYCBfQF4QXZBeYF/QYLBgsGCQYRBiIGOQZUBmwGewaABoIGjQahBrEGtga6Bs4G8wcSBxMG+AbSBq8GjgZzBmMGYAZeBlEGOwYgBgMF4gW/BaIFjAV7BW0FZQVeBVUFRgU1BSYFFgUBBOYEzAS3BKMEjQRzBFgEPgQnBBMEAAPqA9ADtAOaA4QDbgNTAzMDEgL0AtgCvQKiAocCbAJOAiwCBgHhAb0BmwF4AVIBKQEDAN8AvACYAHIATwAuAA//8P/R/67/hf9Y/yr+//7X/rL+jv5s/kX+GP3o/bv9k/1p/Tv9DPzh/Lr8kvxo/ED8Hvv++9z7tvuQ+2v7S/sx+xb69frP+qv6jPpv+k76KfoE+d75uPmU+XP5VPk3+Rn4+fjW+LT4l/iA+Gf4SPgj9/732ve69533gPdh9z/3IfcF9un2zPaw9pj2f/Zj9kn2NfYj9g/1+fXm9df1xvW29ar1o/Wd9ZP1ifV+9XH1YvVU9Uv1RvVE9UX1SfVO9VT1WfVb9V31Y/Vx9Yb1mvWr9bj1xPXS9eT19/YI9hb2JfY39kn2WfZp9nv2kPak9rn2z/bi9vD2/vcR9yb3OfdK91/3ePeQ96T3uPfP9+n4B/gn+Eb4Yvh7+JX4rPi8+Mn42vjx+Qf5Gfks+UT5X/l2+Yv5oPm4+dH57PoH+iP6QPpf+nv6lfqv+sv66fsH+yX7Q/tg+3v7k/uq+8L73fv8/Bv8OfxX/Hf8lfyu/MT83v0B/SL9PP1U/W79iv2j/b/94v4E/hz+L/5J/mn+iP6h/rj+0P7n/wD/Hf88/1T/Zv9//6D/wP/V/+T/9gAMACgASwB0AJsAuwDcAQIBKAFMAXMBoAHNAfkCKAJZAogCtwLzA0EDigO/A+sEIgRgBJEEqASsBJoEaAQkBAMENwS6BVQF1AZCBswHkgiBCWsKMgrJCw4KwAnJCIcHmwdZB4gHugfGB9AH5gfhB6gHWwcnBvwGqgYmBZkFKATYBJsEawQ+BAEDqANGAvACqQJmAiQB6QGyAXMBKgDXAHL/9P9s/vX+of50/mX+XP43/en9mf14/Yr9mv2A/UP9APy8/Gr8E/vT+7X7q/ua+3T7Pfr5+qz6Vvn3+ZX5Nfjc+In4P/f99773ffc99wX21Pac9l/2KfX/9dj1p/Vw9UH1HfT99Nv0tvSQ9G70WPRM9EP0OfQz9Dn0S/Rj9Hr0g/R69HH0gPSd9J/0d/RE9DP0QfRR9F30d/Sj9L70rPRp9A/zuPN+83bznfPc9Bn0T/SF9Lz08vUq9WX1n/XW9gn2PvZ39rL26vcd90r3ePer9+D4E/hE+H34v/kH+Uz5jPnJ+gP6QfqH+tL7Gvtg+6r7+vxH/In8yP0I/UT9eP2p/eD+H/5g/qL+5f8r/3P/uwAAAD8AeQCyAPEBOAF+AbwB8AIcAkQCaAKDApYCpwK8AtQC6gL+AxYDMANHA1kDbAODA50DswPGA9gD6wQABBcELAQ8BEYETQRWBGEEbQR5BIUEkQSfBK8EwATMBNIE1QTfBPQFEgUzBUoFUgVMBUUFRwVTBWYFfwWaBbMFxQXQBdEFxwW6BbMFvgXXBfgGGAY3BlQGbwaFBpkGrwbLBu4HFAc5B1kHdAeIB5oHqge4B8YH2gf1CBIIIgghCBQIBwf4B+AHwAeiB5IHiweHB4EHdwdlB0oHLgcdBxoHIwcxBzwHQwdKB1YHZQdvB28HZAdMBysHCQbvBt8GzAazBpsGjQaCBnYGcAZzBogGkQaYBp4GnQaPBnsGaAZTBjYGGwYOBgsGBQX+Bf0F/wX3BekF5AXtBfUF8wXzBfoF/wX6BfUF9gXvBdIFrwWdBZQFeAVJBSMFFAUJBPIE5ATxBQME8QSyBGcEMgQUA/oD0wOVA0MC5gKMAj4B+QG1AWwBFQCzAFYAEf/r/9T/t/+N/17/Mv8I/tf+kv42/dD9dv0r/Nv8b/vq+2r7CfrJ+pv6bfoy+eP5ivlF+Tf5Yvmn+eL6B/oY+hv6H/oz+lv6gvqa+qX6t/rO+t/65frp+vD6+PsB+wz7FPsS+xD7IvtE+2H7ePub+8X70/u++7j74/wJ+8/7I/pn+gr6IPpp+pz6n/qJ+n76h/qJ+mn6NfoV+hf6H/oS+fb51vmy+ZP5kfmq+bH5gfks+Nz4l/g/99P3evdV91T3Tvck9tf2evYj9dr1mPVS9Q701PSk9Hf0UvRA9EH0QfQu9AXzwvNo8wLypPJT8gnxv/F38SjwvfAx75nvD+6W7h7to+0r7MXsg+xo7F3sQOwW7A3sReya7L/snOxd7D/sSOxX7E7sLuwF69zruuui65brj+uF63TrXes+6xbq6+rC6p3qeupW6jHqEun46eDpwemX6V7pGujS6JDoU+gW59bnmudl5zXnA+bN5o7mSeYC5b/lguVG5QrkzuSR5E3kAOO043LjOuME4szikeJR4gzhy+GR4VrhGODK4HngKN/N32Pe9d6M3izd0t1+3S/c49yU3D/b5tuR20TbA9rJ2pfabdpG2hvZ8tns2hvaW9pk2hfZptle2U/ZR9kU2L3YbNg12BDX7tfK16jXi9dy12PXYtdw14rXpNew16XXi9dx12fXbtd814bXi9eU16nXx9fs2BTYQNht2KDY4Nkw2YfZ2tou2pbbIdvC3GDc7N1o3ePead7033Lf1eAs4JrhNeHs4p/jROPp5KDlaOYp5sznUOfI6Ezo3eln6dfqNuqf6xnrkevw7DXsfOzj7Wjt5e437mLulO7074LwLPDv8c7yuvOO9DH0p/T89TL1TPVr9cb2j/fG+S/6e/t4/Cj8qf0G/Tb9Qv1Q/Yb95P5R/rr/GP9x/8gAIwCDAOgBSgGqAgoCaALGAykDlQQBBF8ErQT8BV0F0QZLBsAHLweXB/MIPgiBCM0JJgl+CcwKHApzCsoLFQtiC8gMQQyvDQcNWw2/DiwOlw8BD2oPyBAQEE8QmBD2EXYSKxMSE/kUpxUMFUcVdxWoFdkWCxY9FmUWdRZnFjwWBBXOFZMVOhTLFIEUlBTuFUoVhxXGFiUWiRbIFuQW/hctF2gXnhfKF/oYQBioGR0ZgRnbGl4bDxubG5ga7RnWGIgXFxW9FQIVWRacGCYZaxpVGwUbcxt9G0EbJRtuG/ccZhycHLYc0hziHNwc2BzqHQQdCRz/HPkc+RzoHLocfxxNHCwcFBv8G+MbzRvAG7gbrhugG5Mbhxt5G2gbWxtTG0gbNRshGxYbERsIGvoa7xrqGuoa7xr3Gvwa/hsAGwEa8xrUGrEalBp4GlQaLxoQGfUZ2hnLGcUZtBmTGX0ZgBmCGWsZUxlWGVwZQxkeGQ0Y6BhzF9wXsRgeGJMYchfRFzsW8Ba6FmwWJhYCFecVvxWiFasVxxXWFdQV0xXWFdoV5RX3FgEV9RXYFbYVjBVeFUEVQxVOFTsU/xSwFGoUOBQYE/8T5RPFE50TZxMZEroSZBIxEhsSBxHqEcURnRFtETIQ8xC7EIwQYRAyEAAPzw+kD4EPYw9HDykPAw7TDqUOhA5qDkMOBw3BDYUNVA0rDQcM4QysDGoMNAwYDA0MAgv7C/8L/gvfC6MLZAskCtcKhApaCnMKqAq7CpgKYAo6Ci4KKgoZCegJlQlBCRMJDgkKCOEImgheCEMIPgg3CCYIEAf8B+kH0we6B58HjAeIB44HkAeFB3QHaAdiB1sHTQc5ByUHEAb3Bt4GzgbMBtAG0QbKBsAGtQamBo8GcwZXBj0GIQYKBgEGBAYABegFwwWjBYwFeAVpBWYFawVsBWgFbQWABZAFkQWFBXcFagVgBV4FZQVxBXYFdgV3BXsFewV4BX8FlAWyBdQF9QYKBggF8wXiBewGCQYfBh8GEAYFBggGGQYyBk4GZgZ0BnoGhAaXBqsGtQa5BsgG5wcHBxcHGQcXBwsG5QapBnUGXwZdBlcGQQYkBgoF8AXRBa4FjgV2BWcFYAVdBVsFVwVSBUwFQQUvBRUE+QTgBMgErgSOBG4EUQQ4BCQEEAP6A+ADxAOqA5QDgANoA0oDKQMIAusC0QK6AqICiAJpAkcCIwH+AdkBtwGWAXIBSwEkAP4A1wCuAIMAWQA0ABP/9f/W/7T/jf9k/zv/FP7v/sr+pv6B/lv+MP4D/dj9r/2F/Vj9KPz7/M/8pPx6/FX8NfwW+/T7zvun+4X7aPtP+zb7Fvrx+s36rfqN+mz6Sfom+gP53/m9+Z/5gvlj+UL5H/j7+Nj4uvii+In4aPhA+Bj39/fa97/3oveC92D3QPck9wr27fbR9rf2nfaB9mj2VfZD9i72GPYG9fn16/Xc9c71xfW+9bX1qvWd9ZD1g/V59XT1cPVu9W71cfV09Xb1efV89YD1h/WS9aP1tfXF9dL14PXw9gP2GPYq9jj2RvZX9mn2evaK9p72s/bH9tn27Pb89wn3Fvcp9z/3Ufdi93f3j/en97r3zPfi9/z4G/g6+Fb4bfiE+J34tvjJ+Nb45Pj3+Qr5Gvks+UT5Xflz+Yf5nvm2+c755/oA+hv6OfpY+nj6lPqr+sP63fr6+xj7NvtW+3X7kfup+8H73fv9/Bv8NfxN/Gj8hPyb/K/8x/zm/Qf9JP0//Vz9ef2S/av9zP3v/gr+H/45/ln+d/6P/qX+vv7Y/vH/C/8o/0D/Uv9m/4D/nf+1/8v/4f/5ABQANQBaAH4AoADGAPEBFwE2AVsBjAG9AeUCCwI5Am4CnwLSAxMDXgOiA9wEGARWBIMEkgSGBGUEMwQIBA8EXgTZBVMFxAZVBycIJAkRCckKVgrACuMKgAmWCIYHzgeWB6EHpwenB8MH7wf4B84HmweBB2gHIgauBjEFwwVkBRUE3QS0BHwEJgPEA2sDHwLXApICUAIIAbcBYwEPAK0ANP+z/0j/Bf7s/vL+9v7J/mH97P2n/Zv9mP11/T39B/zS/I78Pvv+++L74vvk+8v7j/s6+t76hPon+cf5ZvkJ+LH4Yfgd9+D3ofdg9yP27Pa29n32SvYh9ff1xfWQ9WP1PvUc9Pn01PSv9JD0e/Rw9Gf0XPRX9GD0ePSZ9Ln0xvS89K30s/TK9Mz0qPR19Fv0W/Rf9GX0ffSq9ND0z/Sc9EPz3POK82rzhPO+8/70NvRq9J701vUV9Vr1nvXb9hH2RvZ99rj28vcr92H3l/fN9//4LPhc+JX41/kc+WH5ofnZ+gn6Pvp/+sn7EPtS+5r76fw1/Hb8sPzq/SH9Uv2D/b/+A/5K/o3+0f8X/1//pf/nACUAYgCgAOABIgFlAacB4gIVAkECaAKEApUCogK3AtQC8QMJAx4DNQNLA18DdAOLA6ADsAO9A80D4APzBAcEGgQrBDUEOwRCBE8EYARvBHgEfASABIkElgSiBKkErQS1BMgE5AT9BQgFAQT2BPQFAgUYBS4FQwVUBWEFbgV6BYQFhQWBBYMFkwWvBcsF4gX1BggGHAYwBkcGYwaGBrEG4AcQB0AHcAecB74H1gfhB+IH4AfkB/AH/Af8B+4H2Ae7B5kHdgddB1MHTwdKB0MHOwctBxgHAgb4Bv0HEgcwB04HZQd0B34Hgwd+B24HVQc3BxcG+QbjBtEGuQadBogGfwZ8BncGdgZ9BpoGoAalBqYGnwaMBnYGYgZQBj0GMAYvBjMGMQYqBiQGGQYGBfcF9gX4BfAF5AXjBeYF3AXWBfsGPQZZBiAFwAWHBYQFhwVqBUAFIQUNBPoE8wT+BP8E2ASNBEAEBAPXA68DiQNfAygC4wKYAlACCAG5AV0A8wCAAB3/4v/Q/8j/rP92/zr/A/7L/on+Nv3X/XX9HfzQ/H78EfuN+w/6sfp6+lv6PfoR+cv5dfkr+Q75Jflb+ZP5u/nL+cf5v/nH+eH5//oS+iX6P/pb+m/6gfqf+sL62vrh+uT66frs+vL7Cvsz+1r7dPuK+577pfuk+7v78PwJ+7z7Evps+iH6Nfps+o36ivpy+l36Tfoz+gX52fnN+eP5/foC+fT52vmx+Yv5ivmy+dH5tflm+RD4ufhK98L3TvcZ9x33KvcU9s32Z/YD9bP1cfUw9PP0wvSb9HX0T/Q19Cv0I/QO8+PznPM88tPydPIj8dPxfPEg8LrwPe+q7xruoO4z7cTtT+zf7H/sOewU7ATr8evd6+zsOeya7Mrsr+x27FjsWOxX7ELsIuwC6+Trxeuq65jrjeuD63XrXus/6xrq9erT6rLqjepm6kPqJuoM6fHp0emo6XHpLejk6KDoXugY58/njedb5zPnCebS5pDmR+YB5cTli+VS5RTk1eSW5FLkCOO843TjMeL14r/ih+JF4fvhueGF4VXhFuDK4H3gMt/d33bfBt6b3jrd492S3UPc8tyd3Efb8tug21XbFtrh2q7aftpU2ivaB9n52hTaQ9pP2hbZvNl92WfZU9kb2MjYe9hI2CPYAdfd17rXm9eD13LXa9dv14HXmteq16XXkNd613DXctd714TXjtec17PX1Nf52B3YQdhr2KHY5tk82ZfZ79pJ2rTbOtvO3F3c3t1Z3djeX97l31zfweAl4KbhUeIO4rvjUePm5JTlU+YI5qPnK+ez6EPoyuk36ZDp8upy6wbrjuv07D3sh+zx7YHuF+6K7s7vCO9e79TwU/DQ8V/yCvLE83j0HfSt9SH1cfWy9hb2yPfK+PP6EvsP++v8oP0b/VD9Wv1v/a7+Df53/uD/Rv+h//AAQgCkARIBegHZAjUClALzA1cDxAQyBJQE5AU1BZUGBQZ4BucHVAfACCQIdwi8CQMJVQmrCgAKWQq5CxYLZgu4DCIMnw0QDWkNvA4eDoQO4A8yD4YP1xAeEGEQrxEUEaISahNdFD4U1BUgFVYVnxX1FjsWZRZ+FpcWsxa5FpMWTRYMFdkVihUMFJ4UjxTeFUYVoRYIFogW8BcRFwUW/hcMFx0XMhdcF5oX4xg4GJwZBxmBGioa9huBG10aixltGEcXFhX7FXYV8xc8GK0Z0hqrG00blxtvGxIa9BtFG88cRByOHMMc6hzzHOIc2BzrHQgdEh0JHQUdBxz5HMwckRxhHEUcLhwSG/Yb4xvZG9AbxRu5G64bnhuHG3QbaxtpG2EbUxtIG0MbPhszGyMbFRsNGxEbIBssGyobIhsfGx4bDBrpGssatxqcGnUaUho8GiYaCRn1Ge4Z3xm9GaIZohmhGYcZbxl2GYIZahlFGTcZDxiGF9UXpxg0GNUYyxgeF20XDRbPFoUWRRYkFgoV4hXIFdQV7xX7Ff0WAxYEFfgV8hYBFhMWEBX7FeMVxRWZFW4VWxVbFU4VIBTfFKEUbxRHFCQUABPWE6cTbRMjEswSfRJFEiMSBxHpEcoRpxF8EUoRFBDdEKYQchBFEB0P9Q/JD6EPfw9jD0kPKg8EDt8OwA6kDnoOPw3+DcINjQ1gDT0NHAztDKkMYgwuDBAL/wv9DAsMEwv0C60LXAsXCtYKngqPCr0LAAsTCtYKbwogCgkKGAocCe8JlglBCRwJHwkcCO4IpQhmCEsISQhKCDwIIggDB+sH2AfAB6EHhQd6B4AHhQd+B3MHbwdvB2kHXQdWB1UHTQczBwwG7AbfBt8G3gbWBskGugaoBpEGcwZUBjgGIAYPBgQGAAX8BfAF3gXHBawFjQV0BWoFaQVnBWIFagWCBZsFogWYBYoFfgV1BXIFdgV8BXwFeAV5BYMFiwWNBYsFjgWcBbcF3AX8BgYF+QXsBfUGEgYoBiUGEAX/BfwGBQYUBiYGPAZRBmMGdQaKBp4Gqwa1BscG5Ab9BxEHLAdWB3EHVgcFBqoGdAZmBl8GSQYsBhUGAwXqBcYFoAWCBXAFZgViBWUFaQVsBWoFYwVUBT4FJAUIBOwEzASoBIMEYwRJBDMEHgQKA/ID1wO8A6QDkAN5A10DPQMcAv0C4wLNArgCnQJ+Al4CPQIaAfYB1AGzAZEBbAFEARwA8QDDAJQAZwA/ABz//f/e/7z/mP90/1D/Kv8E/t/+uv6U/mv+Qf4Y/fD9x/2d/XD9QP0Q/OL8tvyO/Gv8Tfwv/A375vu/+537gftq+1H7NPsS+u76zPqp+ob6ZfpF+iT6Avnh+cT5qPmI+WX5Qvkg+P744PjG+Kv4iPhf+Dj4Gff99+H3wveg9333XfdB9yj3DPbw9tT2uvaf9ob2cvZg9kz2NvYl9hn2DfX+9fD15PXa9dD1xfW59a31ovWc9Zr1mPWW9ZX1l/WY9Zj1m/Wg9af1rfW29cP10vXh9fH2APYR9iP2NvZH9lX2Y/Z09ob2l/an9rr2z/bj9vX3BvcX9yX3M/dF91n3bPd+95L3qfe+98/34Pf1+A/4K/hH+GH4d/iM+KT4vfjS+OH47/kA+RH5Ifkz+Un5Xvly+Yb5nvm3+c/55fn8+hT6L/pO+m76i/qh+rX6zPrm+v/7Gvs6+177fvua+7T7z/vs/Ab8Hfwy/Er8ZPx8/JP8q/zG/OT9Af0g/UL9Yv18/ZT9sv3V/fX+EP4s/kn+Y/54/o7+rP7K/uP++P8O/yb/PP9S/2r/hP+d/7f/0f/tAAkAKQBJAGcAhwCvAN0BAwEhAUQBdQGoAdAB9QIlAlsCigK1AvADPAOIA8cEAgQ8BGgEcgRdBDwEHwQXBDcEhATrBVgF4AalB6IInQldCeAKTAqnCrwKVQmECKYIEgfRB7IHlgeSB70H9wgPB/wH4gfZB8kHlAc9BtoGdQYNBa0FZgUtBOcEjAQuA9oDjgNHAwgCygJ6AhQBpgE+ANQAYf/x/5n/Zf9c/3f/kf9x/v/+av36/cX9pf13/T/9Dvzf/KP8XPwh/An8Evwd/AX7vPtX+vX6nvpJ+fD5lvlB+Oz4l/hL+An3yveG90P3CPbR9pr2aPY89g/13fWq9X31V/Uz9Q706vTI9Kv0mvSU9JD0ivSH9I/0p/TO9Pf1DfUD9On03vTn9Or00fSq9JH0ifSE9IP0lPS69OP0+PTp9K30TPPl85/zkfOx8+b0IfRZ9JD0yfUJ9U/1lfXU9g32RfZ89rP27fcr92z3rffn+Bf4RPh3+LT49fk0+XL5sPnm+hT6RPqB+sf7C/tK+4772fwh/GD8l/zK/Pr9K/1k/av9+/5H/ov+zf8Q/1T/l//WABIAUACQAM4BCQFGAYcBxwIBAjQCYAJ+AosCkgKlAsYC6wMKAyEDNgNLA18DdAOIA5QDmQOfA68DxgPdA/AEAgQUBCQELAQyBDwETARcBGQEYwRjBGoEdwSCBIYEhASEBI8EpQS8BMQEvgS7BMkE5AT/BRIFHgUiBSIFJAUwBUQFVgVlBXUFiwWfBawFtAW9Bc0F4QX5BhYGPAZqBp0G0AcFBz8HfAe0B90H8gf0B+YHzAe0B6cHpgekB5cHgQdlB0YHLgckBycHLAcsBysHKQckBxoHEAcPBxsHMwdUB3QHiAePB4wHggdvB1MHMwcUBvcG3gbLBroGpAaOBoIGgQaEBoUGhwaQBqkGqganBqIGlgaDBm4GXAZMBkEGQQZIBk0GSwZGBj8GMQYcBhEGEQYLBfUF5wXvBfIF3QXbBioGrgbuBp0F/gWPBX8FkAWHBWQFQQUkBQgE9QTwBOIEtQRvBCkD7QO1A4ADVQMzAwsC2QKfAl4CEQG3AVAA3QBmAAX/1P/P/8r/oP9W/wb+wf56/ij9zP1w/Rn8yPx3/B37s/s9+tD6fvpL+ir6Dvnm+an5XfkX+O748PkU+Ub5cfmC+Xj5Y/lb+WT5dfmJ+aT5xvnl+f36H/pa+pr6v/rE+sD6xPrM+tT66fsR+z77Y/t8+4/7lvuU+5z7rPug+1H61fpw+k36Xvp2+n76dfpj+kf6Ivny+cH5qPm5+en6Gfoy+jL6E/nV+Zf5j/nF+fv57fmZ+S74xPhL9733O/bv9t725vbb9qf2TvXs9Zb1UPUR9Nn0r/SP9G30RvQk9A/z/fPk87nzcvMM8pjyKvHG8WPw/PCW8C/vu+877r/uUu3q7XvtDeyt7F3sHOvu69fr0OvY7APsV+yw7NbsueyD7F/sVOxM7DvsJewN6/Drz+u066brn+uU64DrZetF6yXrCOrr6svqpep/6l/qROoo6gjp4um16XvpNujw6K7obegi59HniedW5zHnCObS5o/mS+YM5dPlnOVg5SHk4OSd5FbkDOPB43fjMuL04r7iheI/4fDhruF+4VHhFeDM4IPgPN/q34jfGt6v3k3d992q3VndAdyn3FLcAtuy22jbK9r22sDaitpg2kPaKdoV2hjaMNo42hLZ0Nmd2YPZYtki2M/Yh9hV2DHYEdfw187XrdeV14XXeddy13jXiteZ15nXjdeC133XfteA14bXktek17/X4tgI2CvYTth82LvZDNln2cHaFdpn2sfbPdu/3D7cut073cLeSN7D3zPfouAd4LXhZ+Ig4sTjUePd5HzlKeXO5mXm/Oel6E/o2Oks6WfpvOpD6ufrfOvt7ETsm+0K7ZruN+7C7yrvgu/q8GHwzfEg8XPx3PJd8uzzjvRG9QL1nvYU9oT3HPfo+NL5wPqv+6L8fP0O/Uf9Uv1w/b3+JP6R/wD/cP/SACAAbwDRAT8BpwIBAlsCuQMbA4AD7ARYBLkFDwVmBckGNQaiBw4HewfnCE4Ipwj0CT8JkAnnCkEKoAsEC2YLvQwTDHsM8g1gDbwOFA53DtkPLg97D84QIRBtELMRAhFpEfkSwROuFH0U9xUtFWYVzRZLFqgWyxbLFtYW+RcPFu0WmhZMFhgVzhVNFM0UqxT4FXUV/BaTFykXfhd6F1QXRBc8FyAXDhc0F4cX1hgYGG4Y6BmDGj4a/htnGyEaQBksGCYXKhZdFjQW7hgpGUIaARqdGy4bdRtIGu0a1xssG7IcJhx7HMAc8x0EHPsc9B0CHRodJB0eHRkdFx0GHNgcmxxoHEgcLBwNG/Yb7xvuG+Qb1RvNG8kbuxuhG4YbdhttG2cbZBtlG2MbWBtLG0MbPxs8Gz8bTRtWG1AbRBtEG0UbMBsKGuwa2Rq9GpQadRpqGlsaPBojGhoaCxnoGcwZyRnEGakZkhmbGacZjRlrGWQZPRilF+EXrhhJGQIZBhhbF6QXOxb2FqgWaRZOFjoWGhYHFhMWIhYZFgwWERYcFhsWGBYlFjYWNBYjFhMV/hXWFaUVghVwFVsVOBUMFN8UsBR8FEoUGRPnE68TcRMuEugSpBJpEjgSERHxEdURsxGFEVMRJhD4EMIQjBBfEDwQFw/sD8EPng+BD2UPRw8mDwMO4w7DDpoOZA4pDe8NuQ2JDWYNSw0hDNoMhQw7DAwL+Av7DAwMEQvvC6cLWAsSCtUKqgqzCv4LVwtqCxAKfwoOCfAKCAoUCeoJnAleCUkJRwkwCPYIsQh9CGMIWghUCEUIKQgHB+sH2QfHB6sHjAd4B3UHdgd1B3UHegd+B3kHdAd6B4cHhAdkBzMHCAbwBuYG4QbaBs4GvQaqBpQGegZaBj0GJgYVBgUF9gXuBe4F7gXlBcwFqQWJBXcFbwVqBWYFbwWFBZwFpAWfBZkFlgWUBY8FigWFBX0FdwV4BYMFjwWXBZkFngWoBbwF1gXvBfoF8wXrBfMGCQYYBhQGBQX+BgMGCwYNBg8GGgYwBksGaAaBBpMGngasBsQG4QbyBv4HHgddB5UHjQc9BtMGigZuBmMGUQY3BiQGFAYABeMFwwWnBZAFfgV0BXQFeQV9BXwFdwVtBVwFQwUmBQcE5QTABJsEfARgBEgEMgQfBAsD8QPUA7kDogOKA20DTgMtAw8C9ALdAscCrgKQAnECUwIyAg4B6gHIAacBhAFfATgBDQDfALAAggBZADQAEv/w/83/qf+I/2X/P/8X/vH+zP6l/nv+Uf4q/gT92/2x/YT9Vf0m/Pj8z/yp/Ij8a/xM/Cn8AfvZ+7b7mfuC+2v7UPsw+w/67PrJ+qX6hPpk+kT6Ifn/+eD5w/mj+YH5YvlE+SX5CPjs+M/4q/iD+F/4Qfgk+AP34Pe+95z3fPdf90X3KfcM9vD21/a+9qX2kPZ99mj2VPZE9jj2LPYd9g72APX09er14PXW9cr1wPW99b71v/W+9bv1uvW59bn1vPXC9cn1z/XY9eT18vYB9hH2IvYy9kD2TvZd9mz2evaM9p/2sPa/9tH25/b89w33Hfcu90D3UPdh93T3iPeb96/3wvfT9+L39PgL+CP4OvhR+Gr4g/iZ+K/4xvjb+Ov4+vkK+Rn5Kfk7+U/5Yvl0+Yf5n/m4+dD55fn6+g/6JvpB+l/6efqO+qH6uPrQ+uX6/PsZ+zv7XPt7+5n7tPvL++H79vwM/CL8OvxU/G/8ivym/ML84P0A/SL9Q/1f/Xn9lf24/dz9/f4b/jb+Tf5g/nj+l/65/tL+4/7y/wb/Hv84/1P/bP+E/5//vv/d//wAGgA4AFUAdQCbAMYA7QEMAS4BWwGLAbQB3AIOAkQCdAKjAuMDMgN6A7ID5gQfBEYESAQuBBkEHwQ7BGwEswUYBaUGagdgCFwJHwmWCeYKOAp7CnMJ/glDCJIIHgfcB68HlgenB+YIKwhLCEMIMQgmCBYH8Qe5B3MHGwa2BlQF/wWoBUME2wSEBDwD9AOvA3kDSQL8AoMB8wFpAPAAiAAw/+z/wv/A/+0AIwAZ/6f+9f5U/fD9tf2B/Ur9F/zm/LD8dvxI/Df8QfxI/CX7zvth+wH6s/pj+g35vvl5+S/42viF+Dz39/eu92X3JPbs9rX2gPZR9iT19vXH9Zr1cfVK9ST1AfTg9MX0tfSy9LP0s/Sy9Ln00fUB9Tr1W/VR9Sr1DPUH9Qn0/PTi9Mn0uPSr9Kj0tvTU9Pr1HvU09ST04fR59Bbz2PPL8+b0GvRZ9Jb00vUP9U31ifXD9f72OvZ29q/26vcr93H3tvfz+Cf4WfiR+M/5C/lC+Xj5svnr+h/6VPqS+tb7GPtX+5j73Pwf/F38k/zD/O79H/1g/bH+Bv5T/pT+z/8K/0f/hv/EAAAAPgB9ALgA7QEkAWQBqAHqAiYCVwJ2An4CfAKFAqICyQLtAwsDIgM0A0YDWwNxA30DfQOBA5UDtQPUA+gD+AQOBCQEMAQwBC8ENQRCBEsETQRRBFwEagR0BHQEbgRpBG4EgASXBKcErwS+BN4FAwUdBScFJgUeBQ8FBAUHBRkFLgVCBVQFZAVuBXMFfQWUBbcF2wX+BiMGUAaBBq8G1Qb2BxwHSgd1B5EHnAebB5AHeQddB0wHSQdLB0gHPwcyByUHHwcjBzAHOwdAB0UHSgdMB0kHRgdJB1IHYQd0B4QHiQeBB3IHYQdMBzEHFAb4Bt4GxgazBqUGmAaOBowGkQaWBpgGnAajBq4GqQahBpoGjgZ8BmkGWAZKBkUGSgZWBlkGUwZOBkoGQQY1BjAGLwYgBgQF+AYGBgYF5AXcBj0G4Qc6BugGLwWgBXYFggWFBXQFWAUyBQME4QTTBMIEmQRcBCAD6gOxA3YDQAMSAukCwQKWAl0CDAGpAT0AzQBeAAX/2v/S/8D/gv8i/sP+dP4j/cX9Yv0L/MP8ffws+877aPsE+q36Z/ow+gP52fmr+XX5Ofj++NT4xvjZ+QT5Lfk++TH5F/kH+QX5D/kj+UX5bPmK+ab51Poe+mv6l/qg+qD6p/qx+rn6zfr3+yn7Vft2+477lPt++1b7Kvr9+sn6mPp++oD6h/qE+nv6dfpq+k36G/nh+bb5tPnk+jT6gPqt+qr6cPoL+bT5rfn2+j76L/nF+T74xfhT99T3U/br9q32kfaA9mL2KPXY9YT1N/T09L30lPR09FD0JfP989zzwfOk833zOvLQ8knxvfE78MTwWe/+76zvUu7p7n7uG+247U/s7Oyc7FzsI+v1693r4ewA7Dvsh+zG7NbsteyD7F7sTexF7D3sMuwc6/zr3evM68brweuv65LrcetS6znrIusI6ujqxuqm6ovqb+pN6iTp9unB6YLpO+j26Lfoeegx5+Dnk+dY5yrm/ObH5ormT+YY5eDlpOVm5Snk7OSo5FzkC+O+43njOuMA4snii+JB4fLhr+F+4VDhGODX4JXgTt/635ffLt7G3mXeEd3D3XDdFNy33GbcGtvM23/bQNsK2tDal9py2mLaUto62ivaMto12hjZ49m52Z7Zdtku2NnYk9hl2EPYJdgH1+XXxNer15rXi9d913jXgNeM147XiteI14vXi9eK14/Xndey187X8tgY2D3YZ9ih2PHZUdmw2gHaQNp72sbbK9uf3Bbcjt0R3ZzeIN6W3wvfjOAf4MPhceIe4r7jT+Pb5HDlC+Wk5jzm5Oei6F3o6Okw6VfpnOod6sDrWevU7D3squ0l7bLuTO7i72bv4PBg8ODxSfGZ8ePyM/J/8srzOvP39PD14faU9xD3hvgc+ND5mPp2+2j8Tfzq/S39Qv1s/cL+MP6g/xT/jP/2AEwAnwD/AWYBxAIaAnUC1gM5A54EBwRxBNMFLwWPBfQGXQbGBzMHoAgJCG0IzQknCXwJ0AopCoQK4AtAC6IMAAxcDMENLw2ZDfcOVg68DyAPeg/SEDMQkxDmES8RghHtEnoTMxQFFLcVGxVJFYwWChaaFvUXAxbqFugXDhcyFyEW3RaYFmUWFRWIFPoUzxUeFbMWZRcmF8cYChfyF9UX4BfiF7AXgBeYF+cYJhhRGKUZPBn2GqgbMBtPGtMZ4BjXF/EXLBa6FwAYCxlEGgoaWhqoGxwbbBtbGyAbGRtjG80cKxx0HLQc6x0PHRwdGh0WHRwdJx0sHSodIh0MHN8cpRxxHEscJxwDG+0b6xvsG98byxvGG84bzxu/G6cbkRt/G3YbeRuBG3sbaBtbG2IbbBtrG2cbaxtwG2kbYBtkG2wbXRs8GyAbDRruGsQaphqeGpAacBpTGkYaNRoQGfIZ7RnpGdAZuxnBGcUZqBmKGY0ZahjLF/sXvxhdGSAZNBiZF+wXhBc2FtwWlxaAFnUWWhZGFksWShYrFgkWCRYjFjoWRxZUFl8WWhZLFj0WKRYCFdAVphWJFW0VThUyFRQU5xSpFGgUKxPxE7MTdRM5Ev8SxhKMElMSIhH9EeARuxGHEVMRKhEGENsQqRB7EFYQMRAJD+QPxA+lD4QPYg8+DxkO9Q7SDqoOeg5CDggN0g2lDYYNbA1EDPwMnwxHDA0L+AwADBEMEQvuC7ALbgssCuoKvArLCyULiwufCzsKmAobCfcKDAoWCfQJwQmjCZwJhwlOCQQIyAimCI4IdAhaCEMIKwgOB/MH3wfPB7gHmQd9B28Hbgd3B4UHkAeQB4cHgweOB5oHlAd2B04HKwcNBvQG4wbaBs8GvgarBpkGhQZqBk4GOgYoBhAF9QXlBecF8AXuBd0FwAWhBYkFfQV5BXsFgwWPBZoFnAWZBZwFpQWsBagFnAWNBYAFdwV3BX8FiwWXBaYFuAXJBdcF4QXoBeoF5gXjBesF+gYCBgAF/wYJBhkGIwYfBhcGGAYnBkAGXgZ5BokGkgafBrsG2AbkBuMG9AcnB14HZQcsBtYGkQZvBmEGUwZBBi4GHAYJBfYF5AXSBbwFpQWTBYwFiwWJBYQFfwV5BWoFUQU1BRgE+ATUBLIElQR8BGMETAQ5BCQECwPuA9QDvQOiA4MDYQNBAyIDBQLqAtICuQKdAoACYwJCAh8B/AHbAbkBlwF1AVEBKgEAANMApQB6AFIALAAG/9//uP+V/3L/TP8k/v7+2v6z/on+Yf48/hX96/2//ZT9Z/07/RP87vzM/Kz8jvxv/Er8IPv2+9L7tfud+4X7a/tN+yz7C/rq+sj6pfqD+mD6PPoX+ff52vm7+Zv5f/ll+Uv5LvkQ+PH4zfip+In4bPhN+Cj4BPfj98P3oveD92b3Sfcr9xD29/bg9sn2svae9or2dvZm9ln2TPY89iz2HfYQ9gX1/fX09er14fXe9eL15fXj9d/13PXa9dr13PXh9ef17fX29gP2EfYf9i/2QPZO9ln2ZfZz9oP2kvak9rf2x/bX9ur3AfcW9yX3M/dF91j3a/d894/3pPe498r32ffl9/T4Cfgi+Dn4S/hc+HT4j/io+L340Pjj+PP5AvkQ+R/5Lfk/+VP5Zvl3+Yn5oPm4+c/55Pn5+g36Ivo6+lP6aPp5+o76p/q++tL65/sC+x/7O/tY+3f7k/un+7n7z/vp+/78Efwp/EX8Yvx+/J78v/ze/Pz9Hf0+/V39ef2Z/b394P4A/h7+Of5R/mj+g/6i/rz+zv7b/uz/A/8f/zv/VP9s/4b/pv/H/+UAAQAfAEAAYwCHAK0A0wD2ARkBQAFqAZMBvQHtAiICWQKaAuYDNANxA6AD0wQIBCMEEgPzA/gELAR1BLkFBwWEBkwHVQhwCVUJ2AoIChkKLAokCdgJSQirCDMH6we+B6AHnwfOCCIIbwiRCIYIaghRCD0IJwgHB9MHhwcsBtMGeQYNBZAFHwTQBJIESwQAA8oDoQNaAtcCLgGMAQwAsABsADQADgAQAEgAkQCYACb/Xf6U/gr9vf2L/Vr9JPzv/Lz8jvxr/F38Yfxf/DH71Ptq+xT6zfp8+ib53/mq+W35GvjB+HL4KPfX94X3P/cF9s32lPZh9jf2DvXj9bf1jfVm9UL1IPUA9OX00/TO9ND01PTX9OD0/PU19Xv1qPWf9XH1R/U59Tr1MPUY9Pn03PTL9Mz03/T59Rb1OvVj9Xn1YPUV9LX0YfQt9CD0N/Ro9KL03vUZ9VH1g/W19e72LvZw9rL28vcz93P3svfw+Cz4Zfid+NT5C/k/+XX5r/nr+if6Z/qp+uz7Lftu+6777fwr/Gj8ovzT/P79L/1y/cL+Ef5W/pL+xv73/yz/af+p/+kAKQBnAKEA1QEKAUoBkQHWAhQCRgJiAmgCYwJmAnoCmgK+AuAC+QMJAxYDLQNLA2IDagNxA4kDsAPUA+kD+AQOBCkEOAQzBCQEHgQlBDAEOQRGBFgEagR3BH4EgwSHBI4EnQSzBMUE0wTnBQgFKQU5BTUFJwUVBQME+AT9BQ4FIAUuBTgFPwVDBUsFZgWYBdMGBQYtBlIGfAamBsMGywbHBskG2AbqBvQG+QcCBw8HFQcTBxMHHQcsBzoHRQdPB1UHXAdlB24HcgdzB3UHeQd6B3UHcAduB24HbgdvB28HZwdXB0UHNQclBxEG/QbpBtQGvgatBqUGogakBqkGrQatBqsGqwauBqgGoQabBpUGigZ5BmcGWAZNBksGVAZhBmMGWAZPBk0GTAZKBkoGRwYzBhQGCAYSBgkF3AXIBhUGowbzBrUGHAWbBWYFYgVnBWYFUgUfBOEEvAS5BLUEkQRUBBoD6wO8A4IDQQMDAs4CpQKBAk0B+wGSASQAuQBTAAD/0f+6/5X/Rv7e/nz+Kv3W/XH9CPyw/G78M/vr+5P7Nfre+pX6VPoW+dr5oPlp+Tn5Dvjl+L/4pvip+Mb46fj3+O342fjN+Mr40fjm+Qr5MflQ+W75n/nn+i/6Xvp0+oL6j/qa+qv60fsM+0P7ZPt3+4j7ifti+xb6yPqZ+o76mvqq+rH6qPqX+o/6kvqP+nH6Ovn7+dD50/oP+nb64fsh+xL6r/om+cn52Po6+of6Zvnh+UP4xfhk+AD3i/cO9qD2UvYp9hP18/W69W31GvTS9Jr0cfRK9Bvz5fOz84rzaPNI8yLy4PJv8dbxMPCZ8B3vwO+A70nvAu6k7kDt6O2X7UPs7+yp7HDsPuwT6/zsBewt7GnspezI7Mbsp+yC7GXsVexO7ErsQewr7A7r+Ovx6/Dr5evK66frhetr61frQuso6wrq7OrT6rnql+pq6jjqA+nK6YjpQOj56Lnofeg75/Dno+de5yXm8ua85oXmTuYX5dzlneVf5Sjk8eSx5GDkCuO8437jSOMS4tfikuJG4fvhuuGE4VLhIODt4LPgaeAM36ffQ97i3oTeLt3e3YrdLNzS3IbcPdvt25zbW9sj2ufardqL2oDactpZ2kzaWNpe2j/aBdnX2bfZh9k32ODYoNh42FrYPdgf1/7X3dfC17DXn9eM14PXiNeS15TXkdeS15bXldeT15zXr9fI1+TYBtgu2FrYkNjc2UHZsNoS2lXaetqY2szbI9uP2/3cbtzq3XHd9d5z3vjfjeAt4M/hb+IR4rHjS+Pd5G3k/uWT5jPm4uee6FDo1ekf6UrpjeoE6pvrLuuv7Crsre047cnuXu7174vwH/Cw8TDxmfH48l/ywPL38wTzL/PL9N32EfcE95n3+fhf+On5m/pr+078JPzE/Rv9SP1//dX+QP6x/yj/ogARAHEAygElAXoByAIbAnwC5gNLA68EGQSGBO0FTgWyBhgGfgboB1gHxAgoCIgI7AlSCbAKCQpjCrwLEgtqC8sMMgyWDPsNYg3JDigOiA7uD1UPthAWEH4Q5RFAEZQR9hJwEwATpRRTFOMVOBVtFb4WQRbEFwMW9hbNFsEW3Rb9Fv4W5hbVFr4WaBXCFRsU4hUzFd8WtxebGE4YkRiAGH4Yqhi+GIkYShhPGH0YkximGQgZyRqWGyIbUxsRGk4ZPhhAF4QXBhbyF5sY8RpEGvEbCRsVG1gbnRuvG6kbvRvyHCwcXByDHKoc2R0OHTQdNR0dHRAdHh0vHS4dHR0EHOIctByEHFscMBwCG+Eb1xvUG8QbrxuqG7cbxBvFG70bsBufG5UbmhulG58biRt+G4obmBuUG4cbhhuLG4Ybext7G4QbgBtuG1wbTRswGwga6xreGsoapRqGGnYaYRo5GhgaEBoJGfEZ3BndGdoZvBmmGbIZlBj1GB4X1xhoGSgZSRjGGC8X0ReCFyIW1ha7Fq4WjBZsFmMWWBYyFggWBRYnFk8WZxZzFnUWbhZmFmAWThYoFfYVyxWpFYYVZBVJFS4VARTBFHkUNBPyE7ETdRM+EwsS2RKlEm4SNxIJEeURvhGMEVoRMhESEO0QwBCUEGwQRxAmEAoP7g/MD6QPfA9WDy4PBw7lDsIOlQ5aDhwN5w2/DaINhw1eDRkMuwxbDBgMAgwRDCoMLgwPC9oLnwteCxYK3QriCy8LiQuZCzwKpQotCgMKEAobCgwJ9wnwCeYJugllCRAI4AjPCL4ImQhsCEsINQggCAYH7wfcB8gHqQeHB28HcQeIB6MHrgejB5AHiAeNB44Hgwd0B2sHXgc/BxIG7AbaBtAGwAasBp0GjwZ6BmMGUwZDBicGAwXqBeQF5wXlBdsFzAW2BZ8FkAWPBZYFmwWcBZoFlAWRBZYFowWuBa8FpQWXBYoFgQWABYYFkQWgBbQFygXcBeMF4wXhBd8F3QXhBe0F/AYCBgMGCgYcBi0GMgYsBigGLAY0Bj8GUAZmBncGgAaPBqsGyQbVBs0GzAbjBwQHEAb3BsYGkwZwBlwGUgZGBjMGGwYFBfkF9AXsBdsFxgW0BagFngWTBYgFgAV4BWkFUgU5BSEFBgTlBMQEqgSUBHwEZARPBDoEIQQHA/ID3wPFA6MDgANfAz0DGQL4AtwCwQKnAosCbwJQAi8CEAHxAdABrQGJAWYBQQEZAO4AwgCVAGoAQgAZ/+7/w/+b/3f/Uv8s/wj+4/68/pT+bv5J/iL99/3M/aP9ev1S/S39Dfzu/ND8svyT/G38Q/wZ+/X71/u8+6L7hvtn+0f7KPsK+un6xfqh+n36V/ox+hH59PnX+bn5nvmG+Wz5Tvku+Q347fjO+LH4lPhz+E/4LvgP9/D3z/et9433b/dS9zj3IfcL9vP22/bH9rP2oPaO9n/2cPZf9k72PvYx9ib2HvYW9g72BvYD9gb2CPYF9gD1/PX79fv1/fYA9gT2CvYU9iL2L/Y79kn2WvZo9nP2f/aP9qD2sPbA9tH24fbx9wX3Hfcy90D3TPde93L3hfeX96r3wPfV9+X37/f4+AX4G/g3+E74XPhq+ID4m/i0+Mf42Pjo+Pj5B/kV+SP5MflC+Vb5avl8+Y35ovm4+c/55Pn4+gz6Ifo4+k36Xvpu+oP6nfq0+sf63fr4+xH7Jfs8+1r7dfuH+5f7r/vL++D77/wC/Br8M/xN/G/8lPy1/NL89P0c/UH9Xv15/Zn9u/3d/gH+J/5I/mH+df6L/qP+uf7L/t/+9v8P/yr/Q/9a/3L/kP+v/8v/5QAFACsAUABwAJEAtwDeAQEBIgFGAXIBoAHPAgQCRAKTAucDLgNiA5EDxwPzA/UD0QO7A+wEXATWBTQFkgYqBxsITAl2CksKqAqgCmMKCQmOCPQIXQf1B8gHuQeqB50HrAfrCEkInQi+CKcIdghMCDYILAgdB/UHsQdeBwwGtgZLBdAFZQUaBNwEjQQ1A/IDwwN7AvkCTQGpASwA1wCZAGMAPAA/AHgAvgDEAFP/hv6z/hr9yP2a/W79OP0A/M78pfyC/G38aPxe/C/72ft8+zH66/qW+j75/vnR+Zn5R/jv+KD4Uvf796L3Wfcf9uf2q/Z29k32J/X/9dT1rPWI9Wb1RfUn9Q70/PTy9PP0/fUI9RX1MvVr9bT15vXj9bn1kvWA9Xf1YvVA9Rj09/Tm9O71CfUl9Tj1UPV39Z71qvWR9Vz1HPTc9Kr0kfSW9Lb06PUh9Vb1hfWz9er2KvZu9rb2+/c69273offd+B74WviM+Lv48fkv+W/5qvnl+iT6afqt+u37K/ts+6376Pwg/Fz8mvzR/QH9Nf11/bv9/f44/m7+n/7M/v7/PP+B/8YACABHAIIAuADvAS4BcQGyAeoCFQIxAj4CRgJQAmICegKXArkC0wLgAuoDAgMpA00DXQNlA3oDoAPGA9wD6AP7BBgEKwQmBBMECAQOBB0ELwRFBF8EdgSKBKEEugTOBNkE4wTuBPYE9QT2BQEFDwURBQME8ATgBNsE5gUFBS4FUQVpBXoFhQWMBZgFuAXrBh4GQgZcBngGnAa9BsoGvQahBo0GjAaVBpwGpAa7Bt4G/wcWBygHPQdVB20HhAeYB6YHrgewB64HpgebB5MHjweHB3sHcAdoB2EHWAdRB0wHQwc1ByYHGQcMBv0G8AbmBtoGzAbBBr4GwQbGBsoGyQbCBrgGsAatBqMGngabBpYGigZ3BmUGWgZVBlUGXgZsBm8GYgZVBlIGVwZcBl4GVwZABiEGEAYQBgcF6QXXBfoGOwZUBiEFxwV+BVUFQgVABUAFJgTgBJMEdwSPBKQEiARHBAwD5gPEA5QDUwMJAsUCkQJmAjAB3gF2AQgAnAA3/+H/pP95/0X+9v6V/jn96P2T/S78wfxf/Bb73fui+1z7DfrC+nz6OPnz+a35afkv+QX46vjR+LD4jPh7+If4oPiv+Kz4pPif+KD4p/i9+OH5B/kn+Uj5d/m0+e/6IPpH+mT6dfqE+qv6+ftT+4z7lPuL+4z7jftp+yH63PrD+tL66vru+tz6wfqy+rb6xPrE+qb6a/om+e752/oG+m/67/tC+y/6tvog+dL5/fpt+rD6e/nk+T/4xvh2+Cv3yPdJ9sH2TfYD9d31wPWR9Un09fSq9HP0RvQU89TzkPNX8yvzBPLb8qnyWvHd8Tzwk/AD75jvVO8s7wbuxe5m7gPtt+2B7UrtCezH7I7sYOw57CTsKuxP7ITssezB7Lbsn+yJ7Hnsbexk7F7sUew87CfsHOwb7BbsBOvl68Trp+uP63vrZetK6y7rFOr86tzqrup26jvqA+nK6YvpROj76Lfoeug+5/nnr+do5yvm9ebA5obmSeYM5c/lkuVX5SLk7uSw5GLkDuPD44vjWuMk4uLil+JN4gnhyuGP4VnhLOEG4NLgguAe37nfXt8F3qjeT9393ajdTtz43K7cZdwR27/bfttG2wna0Nqs2pnag9pt2nban9qy2ojaOdn42c3Zkdk22N3YpdiK2HLYU9gz2BPX8dfU17/Xrdec15LXmNeh16LXntee16DXntee16vXwtfd1/jYHNhK2IDYxNkg2ZbaE9p32rDaxNrO2vLbPNuf3AXca9zc3V3d5t5y3wbfpOBD4Nrha+ID4qLjP+PT5F3k6eWC5inm1+d/6BXoj+jo6S/pg+n36oHrCuuL7BDsou097dTuae8B76HwRvDh8WDxx/I18r/zQ/OC83HzYfO+9K/18/cc9+L4Tvie+RL5v/qL+1f8Dfyj/RL9Yf2k/fL+U/7E/z//ugAqAI8A7gFCAYUBwAIOAnkC7QNXA70ELAShBQ8FcgXSBjUGnAcLB38H6whICKMJCQlyCdQKLgqMCugLOwuQC/QMZQzSDTcNmg38DlgOsw8YD4IP5BA/EJ4RAhFlEckSPxLKE2ET9xSGFPsVShWKFeIWVha2FtUWvBaYFooWihaDFngWiRa9Ft0WlhXfFSQU4xU/FgMW9xfxGLEZABj+GQUZLxk1GPIYqxifGK4YoxixGTUaGRriGzMbCBpxGXMYShdZFtYWtBcEF/4ZixsGG9Ib7RvRG9Eb7hwVHEgcfhyfHKYcpRyoHLEczh0JHUAdSB0nHRMdJB05HS4dDxz2HOIcwByPHF0cJxvrG7kboxujG6IbmRuWG54bpxuuG7MbtBuuG6gbrxu/G8IbtRusG7QbvBu2G6sbrxu4G7EbnxuUG5cbmxuWG48bhRttG0wbMRsdGwEa2hq7GqoalBptGksaOxosGg0Z8xnvGesZ0hnFGdYZvhkqGFYX+hhkGQkZMBjKGE8YAxfCF2sXHhb4Ft4WshaDFmwWXBY7FhcWEhYwFlkWdRZ/FnsWcxZzFnsWdxZaFi0WABXVFacVehVVFTQVCRTPFIwUQxP3E7ITeRNHExYS6BK/EpISWhIeEeoRwhGcEXURTxEpEQAQ1RCrEIMQXxBBECoQDg/oD7sPkQ9qD0IPGg77Dt4OtA53DjYOAQ3cDb4Nnw11DTUM3Ax6DC4MEwwoDE8MYAxIDBIL0AuJCz0K/wrwCxkLVAtjCycKtwpPChgKEgodCiIKHQoSCfcJugliCRQI7AjlCN4IwAiUCGwIUwg9CCQICgf2B+MHxQedB4AHgwejB8IHxQeuB5YHjAeKB4EHdQd6B5AHmQd4BzcG/gbjBtgGyga3BqkGnAaKBnYGZwZYBj0GFwX4BekF4QXbBdcF1QXMBbkFqgWoBa4FrwWoBZ8FlwWTBZMFlwWeBaMFowWfBZoFlAWUBZ0FqwW6BcYFzwXUBdkF3wXmBegF5wXuBgAGEgYYBhgGHQYqBjEGKgYjBioGOQZABjsGPAZLBl4GawZ7BpYGswbCBr4GuAa9BskG0gbQBsAGoAZ5Bl0GUgZLBjgGGgYABfQF8AXsBeEF1AXHBbwFrgWcBYwFfwVzBWQFUAU9BSwFEwTzBNMEuQSjBIwEdARgBEwENgQfBA4D/wPpA8sDqQOHA2EDNwMOAuwC0AK1ApoCfwJhAkMCJgIJAegBwwGcAXcBUgEqAQEA1gCqAH8AVgAuAAH/0/+n/4H/Xf86/xb+8f7H/p7+eP5U/iz+A/3b/bb9kP1q/Uf9KP0M/O/80/y0/I/8Zfw9/Br7+/vd+8D7pPuF+2T7Rfso+wn65/rC+p76efpT+jL6Ffn4+dr5vvml+Yv5a/lJ+Sj5C/jv+NL4tPiU+HT4Vvg5+Bn39vfU97X3mPd+92f3Ufc79yH3Cfb09uD2zfa79qv2mvaG9nT2ZfZY9k32Q/Y89jT2LfYp9in2KPYj9h32G/Yb9hz2HfYf9iP2KvY19kL2TvZY9mX2dvaF9pL2n/ax9sP20fbf9u72/fcM9x73NfdK91n3Z/d59473oPex98b33Pfv9/z4BfgO+Br4LvhH+F74bfh7+I/4p/i8+Mz43Pju+P75DPkb+Sr5OflK+V35cPmC+ZL5pfm6+dD55fn5+gz6Ifo4+kz6XPps+oP6nPqx+sL62Pr0+wv7Gvss+0b7X/tv+337lfuv+8P70fvi+/f8Cvwf/D/8ZvyK/Kj8zfz6/SL9Pv1W/XP9lP21/dz+Cv44/ln+bf5+/pD+o/66/tT+7P8D/xr/NP9M/2P/ff+a/7f/0v/yABkAPQBZAHQAmQDCAOQBAAEmAVkBkQHDAfkCPAKNAtsDGQNNA4QDugPSA7oDkwOhBA8EvAVfBdYGQwblB9UI+AoMCs4LEwrfClIJkQi/CAYHkgd1B5MHtAe5B68HuAfyCFQIrgjOCKgIYAgmCBAIEAgNB/QHvQdyByEGzgZzBg4FqwVYBQoEsQRSBAQDyQN8AwECYgHIAVAA+QC1AHkAUABNAHMAoACVAC7/ff7C/jT94f2y/Yf9U/0c/Ov8vvyT/HP8ZfxX/C374/uT+1D7Cvqz+lz6Hvnv+bL5XvkJ+L74cPgV97r3cvc79wT2yfaT9mn2QvYa9fH1zfWt9Yz1bPVS9T31LPUi9Sf1OvVS9WP1ePWk9eX2F/Ye9gT15vXP9bL1hfVU9Sr1DfUB9Q/1LvVK9Vr1avWI9a/10PXh9eP10fWo9Wr1K/T/9Pb1D/U79Wf1jvW49e72LPZu9rL29fcw9133iffC+AP4O/hk+I74yvkX+WH5m/nO+gf6S/qM+sX6/vs9+337tfvl/Bz8XPya/NH9Cf1H/YX9vf3w/iL+VP6F/rv+/f9G/4z/ywAIAEIAewC0APABLAFkAZUBvgHeAfkCFQI1AlECaAKAAp4CuQLJAtQC7QMYAz8DUQNUA2EDgQOnA78DzAPdA/gEDQQPBAQEAgQRBCgEQARbBHgEkgSqBMUE5AT6BP4E/AT8BPgE5wTRBMUExgTHBMIEuwS7BMoE8AUtBXUFtwXwBiAGRAZXBl8GaQZ5BoIGggaEBpgGuQbXBuEG0wa8BrAGugbOBt8G7gcHBywHUQdrB30HjAebB6sHugfFB8oHyAfFB70HsAegB5QHiQd6B2kHXAdTB0oHQQc7BzkHNActByQHGwcOBwAG9gbwBusG5QbgBt8G3gbdBtsG1gbKBroGrgaoBqkGpQaiBpsGjAZ2BmUGYQZhBmEGZQZxBncGbwZiBl4GZQZsBmwGYgZMBjAGGgYWBiIGMwZCBkAGHQXaBZYFcAVgBUkFKwUbBRME5wSGBCcEDQQ5BGcEXgQqA/kD3APFA6EDZgMcAswCgwJGAgoBvQFbAOsAeQAN/6//ZP8o/u7+qP5W/f/9qf1S/PL8iPwe+8X7g/tN+xj63fqf+l76FvnK+X/5O/kD+OD40PjC+KL4c/hR+E/4Yfhx+HT4cvhx+HT4fviX+Lz44fkD+Sn5WfmL+br56voc+kP6V/pv+rT7LPul++L73vvH+8f7z/u7+4n7XftR+1b7TPsn+vr63frY+uX69fry+s/6kvpJ+gT51vnf+i/6r/sS+xL6qfok+ef6GvqB+rX6e/ns+U341fiF+ET38/eD9v32e/YV9dP1o/Vt9ST00PSD9Eb0EPPR84fzQfMN8uTytfJ28iTxufEx8JjwCu+Z70rvF+747tbumO477drtlu1w7VDtH+zj7Krsfuxd7ErsTuxv7J7swuzJ7LnspuyY7JDsiOyB7HfsZ+xT7ETsQOw97DHsHOwE6+rr0Ou265zrg+tq61PrPOsf6vPquOp26jjp/unG6YnpRuj/6LvofehA5//nuOd15zvnCObQ5o7mSOYG5cvllOVc5SPk6eSq5GLkFuPT45zjbOMz4uvin+JZ4hvh3+Gf4WXhO+EY4OTgkOAt39Lfg98u3s/ect4e3cvddd0j3Njcitw02+Tbp9tx2zXa+9rR2q/aitp52p/a6tsM2tTaa9oW2d3ZlNks2NHYpdiY2IfYaNhE2CHX/dfe18jXt9em153Xodep16vXqNeo16vXq9et17vX0dfp2AXYLthl2KTY8NlY2draXtrC2vfbBtsO2y3bb9vK3Cncidz23XbeA96W3y7fyOBd4Ofhb+H+4pXjLeO95EHkxeVZ5f7mpOc457boKeiY6QXpdunw6nLq8utv6/XsjO0u7c3uaO8D76nwV/D58X3x6fJm8wbzo/P38+jzt/PL9Gj1gPa/98L4Xvi/+Tr58/rD+3P7/vx+/QD9cP3F/gz+Yf7P/0z/xgA2AJ4BBAFcAZwBzwIYAoQC/wNvA9gETATHBTcFlwXwBk8GugcwB6gIEwhrCMMJJgmNCesKRgqqCw8LaAu+DCUMmw0MDW4Nyw4mDnoO0Q83D6cQCxBdEK8REhGAEfMScRL+E5IUIBShFQwVWxWeFesWPhZ1Fn4WbhZlFmEWQRX8Fb8VyxYlFnkWWhW9FRYU8BVrFkQXOBghGNAZHRkgGR4ZJBj7GJMYNhgaGBkYChguGNQZxRptGnsaDBlIGDMXAhYkFeIWMRb8GFEaDRumHJIcwRyPHFUcQxxsHMUdFR0qHRAc9BzmHN0c5x0WHUwdVB0wHR0dMB1AHSgdARzvHOUcwRyBHDsb8xulG2EbRBtQG2kbeRuCG4kbjRuPG5YbnxulG6YbrxvBG88b0RvPG9Ib2BvZG9ob4hvqG+IbzRu+G7wbwBvBG70bsxueG4MbaRtPGy4bCRrtGt0ayBqmGogadBpaGjIaDhoCGfsZ6BnfGfIZ5xluGKoYLxhXGMwY+Ri3GFgYGRflF6AXWhcsFwkW2xaqFogWcBZSFjQWKhY8Fl8WgRaUFpIWhBaAFo4WnBaUFnMWRBYLFc4VlBVkFToVEhTlFK4UZBQOE8ETiRNbEywTAhLiEsESihJAEfoRyxGvEZURcxFHERgQ7BDFEJ0QdRBUEDoQHg/1D8YPnA91D0sPIw8EDuoOww6LDlAOIA37DdcNsQ2FDUsM/AyfDFEMLgxADGwMhgxyDDYL6AuZC04LDgrsCvALEgszCzQLBAquClgKJgoeCicKJAoHCdYJmAlXCR4I+QjsCOoI3wjECKAIfghjCEkIMwghCBEH9AfKB6gHpge/B9IHyQeuB5sHlweSB4IHdweIB6wHvgecB1UHFgb3BuwG3gbLBr0GsQafBooGeAZnBksGKAYIBfQF5QXcBdsF4AXdBdAFwwXBBcUFwwW4Ba0FpgWgBZkFkwWSBZYFnwWnBakFqAWrBbcFyAXSBdEFyQXHBdUF8wYNBhQGCwYHBhUGJwYsBiUGJgYtBioGGQYPBhwGMQY3Bi0GKgY6BlEGYQZvBoQGmwanBqkGqwauBrAGtAa8Br8GrQaIBmYGVgZPBjwGHgYBBe8F5gXeBdYFzwXIBcAFtAWkBZIFgQVyBWMFUwVEBTQFHQT+BN4EwwSrBJMEfQRtBGAETgQ4BCUEFgQEA+0D0gOzA4sDXAMvAwoC6wLPArMClgJ3AlcCOAIbAfkB0gGsAYcBYQE6ARMA6wDBAJcAbwBJAB//8P/D/5v/eP9V/zH/Cf7d/rH+iv5k/j3+Ff3w/c79qv2E/WD9Qv0m/Qr87/zQ/Kv8gvxe/D/8H/v9+977wvul+4T7ZPtH+yr7Cfrn+sX6ofp7+lf6OPoa+fz53vnE+an5ifll+UX5KfkN+O/4zviu+JH4dfhX+DX4Evfz99f3v/en95P3f/do9073Nvch9w32+Pbm9tX2wvat9pv2j/aE9nj2bfZk9lz2VPZO9kv2R/ZA9jv2OvY79jv2OvY99kT2TPZV9mH2bPZ39oX2lfal9rP2wvbV9ub29PcA9w73G/cn9zb3Sfdd9233ffeR96X3t/fJ99338vgD+BD4HPgo+DX4RfhZ+G34ffiM+KD4tPjE+NL44vj2+Qf5Fvkk+TP5RPlU+WX5d/mH+Zb5p/m8+dL55/n5+gv6H/o2+kv6Xfpv+ob6n/qy+sD60vrs+wP7Evsj+zr7Uftg+277g/ua+6v7ufvN++P79PwE/B/8Q/xl/IT8qfzW/Pz9F/0u/Uv9av2H/an92P4N/j3+Y/57/ob+j/6i/r7+2f7u/wL/Hf85/1D/Z/+E/6X/xP/jAAYAJwBBAFsAfwCmAMUA4AEMAUoBiwHDAfsCPgKHAsoDBQNDA4IDrAOmA3wDagOwBFoFLQXlBm4G7geRCGMJTAogCqsKwgpcCZoItAfiB1MHIgdGB44HwwfOB70HugfqCEkIpwjFCJIIOAf0B90H4wfrB+cHygeNBzsG6QaeBksF5QV2BQ0ErgRZBBID1AOFAxECfwHuAXgBHADPAI0AXgBLAE4AUQAy/93/Wv7M/lb+Bv3R/aL9b/07/Qr82Pym/IH8cPxg/Dj79vuw+3H7LPrX+oP6QvoJ+cP5bfkd+NX4h/gq99H3jPdV9x725Paw9ob2XvY19g/17vXP9a/1kfV69Wr1XPVV9WP1hvWs9cH1y/Xl9hb2RvZZ9lD2O/Yb9eX1n/Vh9Tn1I/Ue9Sv1R/Vk9Xb1iPWi9cP15PYE9iT2PfY89hn13fWg9Xz1efWI9Zb1oPW69e32LPZp9qL22/cQ90D3c/ex9/H4IvhE+Gz4rfj9+UT5dfmf+dT6FfpT+ob6uPr1+zT7Z/uQ+737+Pw5/HX8sPzt/Sj9Xf2N/b/98v4n/mX+rf71/zb/bv+k/9sAFABOAIcAvwD0AScBVAF6AZ8BzQIBAi4CTAJkAoECnwK2AskC5wMSAzcDSANKA1MDbwOUA7IDwwPUA+sD/wQGBAYEEQQsBEsEZgSABJoErwS9BMoE1gTXBMoEvgS+BMEEtwSkBJoEowS5BNEE6QUCBR8FSQWDBckGFAZlBrYG+AcZBxsHDAb3BtwGxAa+BtEG8gcPBxsHGAcTBxsHNAdTB2kHdgeGB54HtwfHB8wHzAfJB8cHwwe7B7AHpgehB50HlweOB4YHfgdxB2MHWQdUB04HRwdCB0AHPAc3BzIHLAchBxMHCQcDBv0G9wbzBvAG5wbcBtUGzwbFBrcGrQaqBrMGrganBp8GkQZ8Bm4GbQZwBm4GbQZ2BoAGfgZzBm0GcgZ3BnMGaAZYBkIGLQYvBlwGqAbiBsoGVQW+BVsFSAVRBT4FFQT8BPAEvARLA9QDpgPIBAAEEwP/A+IDzAO1A5UDZAMgAswCdgIrAesBpQFIANUAWf/n/4b/Nv7z/rf+ev4w/dX9cv0T/Lj8Wvv0+5L7QPsA+sv6nPpt+jX57vmf+VP5Efjg+ML4tvir+Iz4W/gz+Cj4NPhA+ED4O/g5+D74Ufhy+Jr4v/jk+RD5Qfls+ZH5vfn0+iP6P/pk+sD7U/vh/DD8QPxC/FD8V/w9/A375vvP+7H7evs7+xH7A/sH+xH7FfsF+tj6lfpM+gr51Pm++eT6R/qz+t36q/pP+hv6OvqJ+rz6nvor+ZD4//iU+Ej4APei9yr2qvY49d/1mfVX9Qv0tvRh9Bbz0vOM80fzE/Ly8s3yivIi8aXxHfCU8BbvsO9j7yfu9+7S7rHue+4p7c7tiO1i7UbtIOzs7Ljsj+xy7GXsb+yS7L/s2+zb7Mbssuym7KLsoOyd7JTsg+xu7GDsWexR7ELsMewh7A7r8uvR67LrmuuK63rrZOs+6wTqv+p66j3qA+nJ6Y3pTekL6MrojehO6ArnxOeF50/nG+be5pfmT+YP5dnlpuVt5Szk6OSl5GLkHuPe46jjduM94vnisOJt4jHh9OGz4XfhS+El4Ozgm+BD3/ffsN9Z3vTek94/3fDdnd1M3P/cr9xa3A/b1tug22HbJdr12sbalNqC2rnbFts82vvahtoq2enZk9ki2MjYp9im2JzYfdhW2C/YCdfo19PXxNe116rXqdeu16/Xrtex17fXu9fA18vX3Nfw2A/YQNh/2MTZFdmE2g3akdru2x3bL9tA22bbqdwA3GDcxN003bPePt7P32Df8OB44PvhfeID4pHjJOOx5DHkqOUp5b7mWubk51rnzuhQ6NzpZunq6mnq4+td69/sc+0U7bruXe8A76vwWvD+8YfyAvKP8zvz3vQ99EH0D/Pu9C309PYj91X4MPi++VT6IPrv+4L74fxL/Nv9bf3b/ir+eP7c/0//xAAxAJsBCgFzAccCBgJPArUDLQOgBAwEfgT0BWAFugYQBm4G2QdQB8cIMQiKCOMJRQmoCgIKXQrICzgLmAvvDFIMww0vDYsN4A40DoMO1g8+D7UQHRBrELsRKBGqEikSoRMfE6YULhSuFRoVaxWnFdkWAxYVFhEWDxYgFioV/RWRFSEVABVFFaYVuRVnFREVLhXMFqAXaBgRGI8YzBjWGNcYyxh/F+4XZxcmFwwW/BctF9cYsBklGPwYaxehFpcVcxSvFK4VdBbUGKQamBwxHQkdLRzzHKwciRysHQodYR15HWIdTx1JHT4dNh1IHV8dTB0XHPsdCh0XHQMc6BznHOYcvRxvHBwbyxtwGxka6hruGwobJRs8G1MbZBtsG3MbhBuYG6YbsRu/G88b2hvgG+cb8xwBHAscDxwNHAQb+RvyG/Eb8xvzG+0b4RvOG7Ybmxt9G1sbOBscGwca7xrSGrgapBqHGlkaKxoRGgAZ6xneGe4Z9RmqGQYYbRhKGI0YyRi4GHIYKxfzF7wXhBdWFzEXCxbiFroWlhZyFlUWRxZNFmsWmRbBFssWtxahFqEWsxa+Fq8WgxZCFfkVthV9FU0VJBUAFNMUjRQyE98TpBN3E0kTHxMDEucSsxJkEhIR1hG0EZwRfhFUESgRABDdELYQiBBfEEEQJQ/+D84Pog97D1EPKA8FDuYOwg6UDmcOQQ4cDfENww2SDVoNFAzDDHwMVQxZDHYMigx2DDoL6wubC1MLEgrhCs8K6QsqC2wLdwsvCrEKRAoVChcKFwn2Cb8JjAlmCUIJGwj9CPMI9AjqCM0IqQiMCHYIZAhWCEcILggGB+MH1wfaB9cHwgerB6UHpwefB4kHeweHB6cHuAeeB2UHLgcNBv0G7gbcBs8GxQa2BqEGiwZ2BloGNwYVBfwF6wXiBeMF5gXkBdkF0QXTBdsF3AXTBcQFtgWrBaIFmwWXBZsFpQWwBbUFtQW3BcEFzgXSBckFvgXFBeoGIwZQBlMGNgYcBh4GKwYrBiEGIQYsBi0GHAYOBhMGHwYfBhoGJAZABlsGaQZyBn8GigaKBokGkAabBp0GmwahBq0GqgaQBnAGXAZPBjwGHwYDBe4F3wXTBcwFxgW/BbcFsAWnBZgFhgV1BWUFVgVHBTUFIAUFBOgEzASyBJgEgwR5BHIEZARNBDUEIQQQA/8D7APRA6sDfANQAysDCwLsAs0CrgKLAmcCRAIjAgAB2gG2AZMBcAFLASUBAQDZALEAigBmAD8AFP/o/7//mv92/1L/Kv7+/tH+qP6C/ln+L/4J/eb9wv2d/Xr9XP1B/SX9B/zm/L/8mPx4/F38Pvwa+/r74PvF+6X7hPtn+0v7K/sK+un6xvqg+nn6WPo5+hn5+/ng+cb5p/mF+WX5SPkq+Qj45fjG+Kr4jPhr+Ej4J/gN9/b33/fJ97X3o/eN93T3XfdI9zT3HvcL9vr25vbT9sP2uvay9qb2mfaP9ob2ffZ09m72Z/Zf9lv2W/Zc9lr2WPZc9mX2bfZ09n32ifaX9qb2tfbF9tT25Pb39wj3Ffcj9zH3PfdH91H3Yfdy94L3k/en97r3zPfe9/L4BvgV+CH4MfhE+FT4Yvhx+H/4jfid+LD4wfjN+Nr47PkC+RT5Ifku+T35Tflc+Wz5e/mJ+Zj5qvm/+dT56fn8+g76Ifo2+kv6Xfpv+ob6nvqy+r/6zvrj+vn7C/sf+zX7SvtZ+2j7fPuQ+5/7rvvD+9v77Pv7/BH8L/xM/Gn8i/yy/NP87P0E/R/9Of1S/XD9mf3N/gr+SP50/oL+f/6G/qL+v/7R/uP/AP8f/zb/S/9q/4//sP/M/+sACwAoAEQAZwCLAKgAxwD6AT8BhQHBAf4CQwKHAsUDCANUA5YDqAODA1UDYwPYBKAFewY2BtEHawgaCNIJewn4CicJ7QlPCH8HvAczBvUG/wc9B4sHvwfJB7gHsQfYCC8IiAiiCGcIBwfAB6YHqQe3B8oHyweiB1MHAAa+BnIF/wVvBO0EkARQBBsD5AOXAykCnwIUAaEBRQD1AK8AdgBMACoABP/T/47/Nf7R/nP+KP3v/bv9h/1V/SP87vy7/Jr8i/x7/FH8EfvQ+5b7VPsD+rH6bfor+d35h/k6+PP4pPhI9/L3rPdx9zj2//bP9qb2f/ZY9jT2E/Xx9c/1tPWj9Zf1i/WH9Z710PYC9hr2HPYn9kz2ePaR9pH2f/ZW9hD1vfV59VL1P/U79Ub1XvV39Yr1nfW39dP16vYA9h72RfZo9nf2afZH9ij2FvYG9ef1wvW59d/2H/Ze9o72ufbm9x33Yfew9/X4I/hC+Gj4pPjm+Rz5Qvlp+aH55Poi+lP6g/q8+vn7KPtK+237oPve/Bv8VfyP/Mj8/v0w/V/9kP3H/gr+Vf6e/tv/Dv8//3L/qP/hABoAUwCMAMYA+gEjAUgBeQG3AfECGQI2AlYCeQKZArgC3QMJAy4DRANNA1kDdAOaA70D1QPoA/sECgQPBBAEHgQ8BF0EdQSIBJwEqASpBKIEmQSJBHUEawR3BI8EoASpBLUEzgT0BSYFXAWPBbYF1AXvBhEGQAaHBt4HLAdWB1oHSAcvBxYHBwcMByYHRAdaB2UHaAdtB3kHjQejB68HsQe1B8MH1QfgB+EH1wfJB7sHrgeeB44Hgwd/B38Hfgd8B30HfQd5B3IHcAdxB24HZgddB1YHTQdDBzwHNQcrBx8HFQcMBwEG9wbxBusG3gbOBsYGxAa+BrUGsAayBrcGrwamBqIGmgaKBnwGegZ/Bn8GfQaEBo4GkAaGBnwGegZ4BnIGaQZeBlAGQgZNBo0G9wdCBx4GhQXOBWAFTAVQBTAE+wThBN4EuQRPA8sDeANxA5sDwQPNA78DowOCA2IDOwMEAroCZwIfAeIBoAFCAMcARP/U/3v/Mf7u/rL+dv4r/cb9UPzh/IT8Mfve+4b7LfrY+o36U/op+fz5vvlw+ST45/i6+J34j/iE+G34Rvgi+BL4EfgQ+Ab3+vf4+AX4JPhQ+H74pfjM+Pv5LPlR+Wz5lPnO+gf6Mvpo+tL7b/wM/Hz8vPzk/PT82vyW/E38HPv2+7v7b/s4+yn7Mvs2+y77Hvr8+rz6afoh+fD5xfmb+ZD5xvou+ov6p/qE+ln6X/qd+ub69fqe+fP5MfiX+Db37/ea9yr2sPY/9eD1kPVG9Pj0oPRE8+vzm/NW8yPzC/L98tHya/HV8THwnfAj78bvg+9O7xju4u627pbube4p7dXtiu1Y7TbtFOzq7L7sl+x87HXsieyy7Nrs7Ozj7M3su+yz7LPst+y67LTsouyL7HnsbOxg7FLsR+w67CXsBevh68Prsuup65/rhetS6wzqw+qE6kzqFenZ6ZrpXOke6OPoqOhn6CDn2eeb52TnKubm5p7mW+Yh5ezltuV65Tfk8OSp5GPkHuPe46bjduNE4wnix+KF4kbiB+HH4Y3hX+Ez4Pngr+Bn4Cbf39+A3xTes95i3hTdw91z3Snc29yK3ELcCdvP24nbSNsT2t3ao9qN2sDbF9s22vbai9o52ffZl9ke2MbYsNi42LLYlNht2ETYG9f71+rX4NfS18XXv9e+17zXute918XXy9fS19zX6tf/2CTYXdih2OnZQNm42kbaw9sO2y7bQdtf25Tb4Nw93KPdDt1/3fnefN8E343gE+CU4RHhjOIL4pTjKeO+5D/kq+UW5ZjmLOa35zHnqOgv6MPpWOnj6mPq3OtS69HsYu0D7avuVu8D77TwYvD/8YbyC/Ko81jz9PRS9Gn0TvQk9Cf0oPWj9uD36/is+WH6NPr0+2j7rPwO/K39Xf3s/lT+qv8A/2D/yQA2AKABDwGEAfMCTQKdAvsDbQPhBE4EuAUjBYUF3QY0BpEG9wdjB9MIPAibCPoJXgnAChkKdgrmC10LwwwZDHIM1w04DY4N4A4zDoAOzw8yD6QQChBaELIRLhHBEkkSvRMuE6gUKhSpFRcVZhWUFa4VuRW1FaoVqRW7FcsVrxVWFOAUkBSVFNYVDBUXFSkViRYxFt0XXhe/GBAYSBhsGJEYoxhhF78XCBaFFjMV+hYEFnkXFxdcFxUWehW4FMgTyRMsE2QUjhZ6GMoa9xxwHQAc9xzJHK4cpxzDHQkdWR2IHZwdsB3DHb4dqB2THXMdKhzQHKEcrxzHHMgcxRzTHNccsxxzHDcb/huvG1AbABrRGroasBq+GuMbCxskGzYbVBt9G6Ebsxu9G8ob3BvrG/ocDxwmHDIcLhwiHBwcHRwfHCAcIBwfHBscERwDG+4b0ButG4kbZhtDGyEbARriGsgasBqTGmcaNBoIGegZyhm1Gb0Z0xm4GT8YnBg+GFoYsBjVGKMYSRgBF9QXsBeGF1sXNBcOFuMWtxaSFnwWcRZzFowWvxb2Fw8W/BbYFsMWyRbWFtIWrxZwFiUV3hWgFWkVOhUTFOkUqhRXFAYTxxOUE2ETMxMQEvISwxJ7EioR4xGvEYsRaxFIESURBxDsEMgQmRBsEEwQMBAKD9gPqQ+BD1sPNA8PDu0OyQ6lDoQOYw48DgwN2A2iDWcNJAzhDKYMfQxuDHEMdAxgDC8L7AumC2ALGwrgCsMK2AsgC3kLoQtnCtoKSQn4CfIKAQn2Cc4JpwmNCXIJSgkgCQgJAwj9COcIygiyCKEIkAh/CHAIWwg9CB4ICgf6B+EHxAezB7UHtweoB4wHdQdyB4EHjweKB2wHQQcbBwIG7wbfBtQGzAbCBrEGngaJBm8GSgYiBgAF7QXnBeoF6wXmBdsF1gXbBecF8AXsBdoFwgWwBakFqgWtBbAFtAW6BbwFuAW0BbYFuQW4BbEFsAXGBfwGQwZ2BnMGSQYhBhkGIQYeBhQGGAYrBjgGMQYjBhwGFQYMBg4GKgZUBnAGdwZ6BoMGhgZ6Bm4GdAaEBocGfwZ+Bo0GmQaQBnkGYgZOBjcGHgYFBfAF3QXRBcoFwgW1BakFpQWjBZgFhgVzBWUFVwVFBTIFHwUKBPIE1wS7BJ8EiwSCBH0EcARXBDsEIgQOA/0D7APUA7EDhwNgAz0DHQL8At0CvQKYAnICTQIrAgcB4AG7AZkBeAFVATEBDwDrAMUAnwB9AFkAMQAG/97/t/+T/27/SP8e/vT+zP6l/nr+TP4g/fn91P2w/ZD9df1a/T39Hvz5/ND8qfyN/Hb8Wfw1/BX7/Pvi+8P7ovuG+2r7Svso+wb65fq/+pj6dvpW+jb6F/n8+eL5xPmj+YP5ZflE+SL5APjh+ML4ovh/+F34Qfgq+BX3/ffl99D3vfep95P3fvdq91T3Pvcr9xr3CPb39uv25Pbc9tH2xfa79rH2pPaZ9pH2ivaC9n72f/Z/9nz2evZ/9on2j/aT9pr2p/a39sb21fbl9vX3B/cY9yj3N/dF91T3YPdo93H3gPeQ95/3r/fB99T35ff3+Av4HPgp+Db4Sfhe+HD4ffiI+JP4n/it+L74zfjY+OX49/kN+R/5K/k3+Ub5Vflj+XD5ffmL+Zv5rvnD+df57PoA+hP6Jfo3+kv6Xvpv+oL6mPqt+r76zfrf+vP7B/sc+zL7RftV+2X7efuN+537q/u++9P74/vy/Ab8Hvw2/FD8cPyS/K/8xfza/O39Av0g/Uf9cv2e/db+Hv5c/nL+a/5t/on+qP66/sr+5/8H/x3/MP9P/3b/lf+t/8n/7AANAC0ATgBwAJAAtwDwATYBegG7AgMCUAKWAtkDKgOEA74DtgN9A1YDfwQHBMkFlAZNBvoHsghzCSUJqQnhCbgJKAhZB5MHDgbTBs8G7wctB3QHqAe4B64HqAfGCAsIUwhmCDEH1weOB2wHZQdyB48HogeGBzsG6wawBmsF9gVcBNQEfgRMBCAD6AOcAzMCsQIyAcgBcwElANoAlgBaAB3/3/+h/2L/Hf7Q/oX+Rf4M/dX9n/1r/Tj9AvzR/LT8qPyX/G38MPv1+737ffsx+uP6nfpW+gT5rvlf+Rf4yPhz+CH33Pee92T3L/cC9tr2tPaP9mv2Q/YY9fH12PXO9cr1xPXF9d/2E/ZH9l72XfZi9n32ofa39rf2ovZ09i313/Wh9Xv1ZfVe9Wj1fvWQ9Zj1ovW19cz13/Xs9fz2HfZS9or2sfa69rL2pvaI9kv1+/XK9dX2EPZS9oT2p/bK9v/3Tfeq9/r4LfhO+HP4ovjR+Pf5G/lL+Yr5zvoM+j36bPqi+tr7CPso+0j7dPuu++v8I/xX/Iz8wPzy/SD9Tv2E/cf+E/5b/pn+0P8C/zL/Zf+b/9UADwBLAIgAvQDkAQUBMgFvAa0B3QIBAiYCTwJ3Ap4CxwLzAxkDNgNJA1wDdwOcA8MD4gP5BAoEFAQTBAwEDwQiBDgERwRTBGEEawRtBGcEYgReBFsEYQR4BJsEvwTdBPUFCQUhBUoFiAXNBgUGJwY3BkEGVAaABsUHCQcyBz0HOwc4BzgHPwdRB2sHggeOB5QHmAeaB5oHmgeZB5QHjAeJB5QHpwe5B78HugeuB6MHmweVB44HiQeGB4EHfAd7B4AHhgeIB4kHjQeSB44HhAd3B2sHWwdKBzwHLwchBxUHDQcEBvcG6wbkBt8G1AbFBr8GwQa+BrcGswa3BrQGrAalBqYGpAaXBokGhQaMBpIGkwaXBp4GnwaWBokGfgZ1BmwGYwZZBk8GSAZWBpAG5wccBu4GYQXIBXIFYQVWBSYE6ATNBNIEwwR1A/gDhANMA1YDfQOTA4MDWAMsAxAC+ALUAp4CXwImAfEBrAFEAMAAPv/X/4z/S/8J/sn+iv49/dP9UPzL/Fr8BvvH+4v7P/rc+nL6HPnl+br5g/k6+PL4uviP+HD4W/hQ+Ef4Nfgc+AT38Pfe98v3v/fB99X3/fgx+GX4kfi7+Ov5F/k1+Ur5b/mv+fT6Lvpw+t77f/wv/MT9Lf1j/VP8+vyD/Cr8Afvh+6X7Xvs6+0L7UvtI+yr7B/rU+oH6H/nX+bT5l/ll+Tf5RPmi+iT6g/qZ+oP6g/rB+x77Rvrw+iP5M/h6+BH3zfd79wz2lPYn9cn1dvUp9Nv0hPQm88nzePM88x3zFvMG8sHyMvF38MPwOu/d757vcO9D7w/u2O6t7o7uau4u7d/tku1Y7S/tDezr7MbsoOyH7IjspezQ7O7s8uzi7NDsx+zG7Mvs0+zZ7NTsweyo7JLsgex17GrsYOxQ7DbsFev069zrzevG67jrletX6wnqw+qN6lzqJ+nt6bDpdOk56QDoyOiI6D/n9+e4533nO+bx5qfmaOYu5fTluOV75Tzk+uSy5GbkHOPZ46LjdeNK4xji3OKb4lniGeHc4aXhduFI4RLg1OCW4FfgCN+i3zXe1t6I3jrd6N2c3VbdDdy+3HbcOtv6267bZtss2vXautqg2sXbCNsb2uTaktpT2hHZpdkk2NDYwtjP2MvYr9iK2GPYO9gd2A/YCNf81+vX4dfc19bXz9fO19PX2tfj1/HYBNgf2ErYh9jN2RfZd9n52oja9dso2zfbSNtz27ncE9x63OXdUd293i7ep98n36vgLuCq4SDhk+IL4pXjM+PT5F3kyOUt5armPebO50znwOg66MHpTunb6l7q1utK68rsXu0B7aruVe8H78DwcfEI8YfyDPKv82Hz9PRJ9G70dvRp9GH0pfVr9o73rPiS+V76JPrD+x37XfvK/HX9NP3g/nL+5f88/4v/7gBeAMYBJAGPAgkCewLZAzQDnwQRBH8E5AVFBaIF+gZUBrAHDQdrB84INgicCQEJaAnNCikKhwr2C3EL4Qw8DJAM6A0+DZAN4Q42DoYO1A8sD5AP7xBFEKcRJxG4Ej8StBMjE5oUFBSIFOoVLxVVFWYVbRVsFWMVWRVYFWIVaBVOFQQUoRRgFGYUpRT0FU8VyhZXFssXFhdXF6IX7RgyGIAYwRipGBQXQRaFFe4VaBUTFR4VaRWGFTYUlhPXEwgSRRHmEkwTpxXaGHkayBwbHGMcNhwvHGMcjRybHLYc+x1VHagd7B4YHh8eBR3SHXwdAxySHGocjRy/HNIc0BzOHMMcpByGHH4cgBxlHB8buxtNGuEajRprGnsanhq3Gs0a9BstG2MbgxuVG60bzxvvHAccHhw3HEYcRhw/HD8cQxxDHD4cPRw/HD8cOBwsHBcb9BvKG6QbfxtVGyobCBrsGs4aqxqJGmIaMBn6GcwZqRmOGYgZmxmeGVIYuxg+GDsYmRjeGL0YWxgSF/wX8xfMF44XVBcmFvwW1Ba3FqwWrha2FssW8hcdFzQXLBcSFvoW7xbtFuUWyRaUFk4WCBXHFYsVUxUjFPUUvRR5FDIT8BOxE3QTPhMTEu4SwhKIEkMR+BGzEX0RVhE3ERoRAhDuENEQpxB7EFsQPRATD94PrA+ED2MPRA8mDwoO7A7MDqkOgg5TDh8N7A21DXgNNwz8DMkMnAx7DGgMXgxMDCoL+gu/C3kLLgrtCsgKyArqCx4LPgsjCsMKRgnsCdQJ5wn0CeMJwQmiCYYJZQk/CSIJFAkJCPgI4wjSCL4IpgiPCH4IbghaCEMILwgWB/QH1QfIB8oHxgexB5EHcQdaB1MHYAd0B3IHTwcfBvsG6gbgBtYGzQbDBrYGpQaVBoEGYgY2BgwF9AXxBfgF/AX4Be8F5QXiBecF8gX0BeUFygW2BbQFvgXEBcMFwAW+BbwFtQWtBaUFoAWdBZ0FpAW7BeoGKAZUBlcGNgYXBhAGFAYQBgkGDwYlBjcGPAY2BioGGAYIBg8GNQZfBnIGbwZxBoAGiQZ7BmkGaQZ3BnoGbQZnBnQGiAaNBn8GZwZPBjgGIgYMBfYF4gXVBc4FwgWuBZwFlwWWBY0FegVpBV4FUgVCBTEFIgURBPkE3QTBBKgElASIBH8EcARYBDsEHwQGA+4D2APAA6MDgANdAzwDGwL7At4CwAKeAnkCVwI2AhIB6AG/AZwBewFYATUBFADzANAArQCMAGoARAAb//P/zP+m/4H/XP81/w7+5/7A/pT+ZP41/gn94v2//aL9if1v/VL9Mf0L/OH8vPyh/Iz8cvxQ/DH8F/v9+977vvuj+4n7aPtE+yH7APrd+rj6lvp3+lf6N/oZ+f754PnA+Z/5f/lf+T75Hvj/+N74u/ia+H74ZfhP+Dj4HfgC9+r31ffB9673m/eH93H3W/dJ9zn3Kfca9w/3CfcB9vX26/bj9tj2yfa79rP2rfal9qD2ofai9qD2oPam9q72sva09rv2yvba9un29vcG9xj3Kvc790r3WPdm93T3gPeH95L3ovez98L30Pfh9/T4BvgX+Cj4N/hD+FD4Yfhz+IP4j/ib+Kb4sPi9+Mz42vjl+PD5AfkU+ST5Mfk++U75Xvlr+Xf5hPmR+aL5tfnJ+dv57foB+hb6J/o4+kv6YPpw+n/6kPqm+rz6zvrf+vD7A/sX+yz7PvtN+137cPuF+5b7pvu1+8L7z/vd+/D8BPwb/Df8V/x2/JH8pvyz/Ln8y/z9/Uj9if2s/cr9/f43/lP+Uv5Z/nf+mf6r/rv+2P75/w7/H/89/2H/ff+S/6//1f/5ABgAOABaAH8ArgDrAS8BcQG6AhECaQK0Av8DXQO8A+cDxgOJA3YDtQQ6BOYFnwZYBxAH0QibCVYJ2An1CZUIzAffByMGxAasBrUG0gcNB1kHlQesB6cHowe2B+IIFAgmCAAHtAdqBzoHJQcpB0AHUAczBusGogZxBj0F3QVbBOcEmwRjBCcD4AOOAyoCuAJKAe8BogFSAQAAtQBxACz/5f+h/2D/Hv7Z/pr+Y/4s/fL9uf2F/VL9G/zo/Mn8vPys/If8Uvwb++T7pftb+xH6zPqD+i350vl++TP46vih+Fr4Gffg9673gfdW9yn2/fbW9q72ffZE9hT1+/X69gX2DPYV9iz2VPZ59or2i/aQ9qb2v/bL9sL2pPZw9jH19/XN9a/1lvWK9ZP1pvWx9az1pPWp9bv10vXm9fj2FPZJ9o/2zfbt9vX29Pbi9qn2UfYE9e/2E/ZT9pD2ufbT9vb3N/eP9+P4HvhH+G/4mfi/+Ob5FflQ+Y/5y/oC+jX6ZPqV+sn6+vsj+0j7c/ur++j8IvxU/IT8tfzl/RH9Pf1y/bL9+f4+/n3+t/7t/x7/Tf+B/7n/8gAqAGEAkgC2ANgBBQFAAXwBrAHVAgACLgJaAoMCqwLTAvgDFgMuA0MDXQOCA68D1gPyBAQEDgQLA/sD7wPuA/UD+gQABAsEGwQpBDkETwRsBIcEnQSxBMwE7AUMBRsFFQUGBQwFNwV/BcsGDAY6BlkGcwaZBs0HAQciBzAHOgdHB1QHYQdxB4EHjAeQB5YHmwecB5MHhQd4B2wHYgdfB2cHeQeMB5kHnQeaB5cHmQedB6IHpAehB5gHjQeJB44HlAeXB5kHngehB5sHjAd8B24HXQdKBzcHJQcTBwUG/gb4Bu4G4wbeBtwG0wbIBsQGxQbDBrkGtAa1BrcGswavBq8GrQahBpQGkwacBqUGpQajBqQGpgagBpMGggZ0BmkGXAZOBkIGPQZKBmwGlAadBmoGBwWrBX4FdgVlBTQE9gTNBMIEtQSCBBsDngNDAy0DRgNXAzwDBgLaAsgCwAKsAooCYQI3AgUBuAFIAMMASf/u/6r/Z/8c/tT+lP5Q/fD9a/zQ/D/71/uf+3/7Tvry+nn6Cfm5+YD5RvkC+MH4jfhl+EL4KPge+CL4IvgT9/T30/e496j3o/eo97r33/gU+E/4hPiz+OH5B/ke+TH5V/mZ+eX6J/ps+tn7fPw7/Or9Yf2B/T38s/wq++T73PvT+6P7ZPtG+0r7R/sn+vf6yfqO+jb51vmT+Xb5X/k1+Qn5Dvlf+eL6V/qP+pX6ovrf+zH7QPrM+ej48/hE9+j3rfde9u/2dvYH9af1UvUE9Lb0YfQF867zafM98yjzF/Lp8nnxyfEC8Fzv8u+274/vbO9C7xLu4u697p/udO4x7ePtnO1k7TjtEezv7M/ssOyc7KTsx+zv7QLs+ezm7Nvs2+zg7Ofs8Oz27PDs3ezE7KzsmuyO7IXse+xn7EvsLOwS6/vr5+vV677rk+tP6wTqxuqX6mrqNuoA6czplela6SDo6eis6GToGufZ55znV+cJ5rzmd+Y25fTls+V35T/lA+S95G7kIuPh46zjf+NT4yPi6+Kt4m/iMOH14b7hj+Fk4TXg/+DD4H/gKt/E313fA9603mLeD93F3YPdO9zq3J/cYdwg29PbhttH2w/a29rF2uHbD9sT2uXarNp/2jnZv9k32ObY3djs2OfYzdiu2IvYZdhJ2D3YNtgm2BLYBNf81/LX6Nfk1+fX8Nf+2BPYLdhM2HjYstj22UPZqdot2rPbDNss2zPbTNuF29ncO9yl3RDdeN3d3kbeud8137bgOOCy4SLhjeIB4o/jNOPd5G7k5eVZ5eLmfecS547n9+ha6MjpRenO6lTqzOs/68PsYO0K7a7uUe7/773wdvEQ8YvyC/Kt81/z7fQ/9HD0m/S49L703vVf9kv3Yvhk+UD58fpk+qb68Ptx/B781/2X/lz/BP9y/8AAIgCcAQQBTAGbAg0CiwL3A1MDtwQjBI8E9AVWBbMGDAZoBsYHHwdzB8wILwiWCPwJZQnOCi4KiArxC24L7QxYDLANAA1ODZoN6A4+DpUO6g8/D5sP/hBkENERRhG7EisSmRMNE4IT7hRKFJQUyhTtFQkVJBU5FT4VMBUeFSIVRxVrFVcU9RSBFFQUixT8FXcV6xZSFp8W2BcdF3cX0RgjGH0Y0hjZGGMXnxbdFicVXRSXFB8UAxPyE5cS8BIzEYwRGhEKEY8S2BTwF4UZ1BshG2MbTBuGHAQcUhxHHDYcchzxHXcd2B4SHigeGh3fHXUc9xymHLcdEh1lHXgdVB0cHOQctRyhHLkc7B0WHRAcyBxEG6EbEBqxGoYadRptGnAaiRq0GuIbCBstG2EbnxvXG/wcFhwvHEYcVxxjHGwcbRxlHF0cXxxjHF4cThw6HB0b8RvBG5sbehtUGzMbJBseGwYa2BqtGowaZBouGf4Z3hnCGagZohmlGXgY/Rh1GEkYfxi0GJUYQhgUGCQYNxgVF8YXeRdIFygXChbvFuEW5Bb2Fw8XJhcyFzMXMRcxFy0XHxcJFvIW2BavFnQWMBXvFbEVdxU/FQkU0xSbFF8UGxPSE4sTTxMhEvYSyhKXElsSERHDEYMRVhE0ERYQ/hDqENEQrBCEEGIQQBATD90Pqg+CD2EPSA85Dy8PHg7+Ds8Olw5dDigN+Q3IDZANVw0iDO4MuAyJDGwMXAxNDDQMEAveC5oLTQsKCt4KvQqgCpIKnwq6CroKhgo0CfEJ2gncCdYJugmVCXYJXQlFCTEJIwkZCQ8JAgjsCM0IqAiJCHgIawhbCEkIOAgjCAQH6AfcB9kH0Qe+B6EHfAdQBzUHQgdrB30HWQcXBukG3gbgBtoGzwbEBrYGpAaXBowGeQZTBigGDQYIBhEGGgYfBhsGDQX5BesF6QXrBeMF0wXHBcgFzgXOBcYFvgW7BbsFuAWvBaQFnAWaBZ4FogWqBb4F4QYFBhYGEQYIBgcGBwYCBf0GAwYSBiEGKwYxBi0GHgYQBhgGNgZQBlEGRQZLBmgGgQaABnAGagZwBnEGZQZdBmYGeAaABnkGaAZUBkAGLgYaBgQF7QXdBdIFwwWsBZYFigWEBXgFZwVZBVIFSQU9BTAFJAUSBPYE2QTBBK0EmgSLBH4EbgRXBD0EIgQEA+UDyAOvA5UDeANZAzcDFgL3AtsCwAKhAn8CXwJBAh0B8gHHAaEBfgFbATcBFgD2ANUAtQCVAHQAUAAqAAT/3v+3/4//af9E/x3++P7R/qf+ef5J/hz98/3Q/bL9mP1+/WL9Q/0g/Pj80/y4/KT8i/xs/E78NPwY+/j72Pu++6b7iPtj+z/7Hvr8+tn6t/qW+nb6Vvo4+hz5/fnd+bz5m/l8+V35Pvkd+Pr42Pi7+KT4jfh1+Fv4P/gi+Af38Pfb98n3t/ek94/3efdo91n3Sfc79zD3Kfcf9xP3CvcE9vn26fbc9tX2z/bH9sH2wfbE9sX2xfbK9tH21PbW9t727vb+9wv3F/cm9zj3S/dc92v3ePeE95D3mvei96/3wvfU9+P37/f/+BL4JPgz+EL4Ufhe+Gz4eviG+JH4nPiq+Lf4w/jP+N746/j2+P/5DPkb+Sn5NvlG+Vf5Zvlz+YD5jvmb+av5vvnP+d/57voB+hX6Jvo1+kn6X/px+n76jPqg+rf6zPrc+uv6/PsO+yH7MvtC+1D7X/tx+4T7lfuh+6r7tPvD+9X76fwA/B78Pvxb/Hb8ivyQ/In8m/zq/Wn90f33/fb+BP4n/kD+R/5T/nL+j/6e/rD+z/7w/wX/Fv8z/1T/bP+B/6H/yP/rAAkAKwBRAHoArQDrAS4BcgHDAiYChQLSAyIDhgPeA+8DuQOFA5cD9QR8BRcFwgZ2BygH4giyCYEKEgooCasIwAe/Bv4GoQaIBo4GrQbvB0UHhAeYB5QHlAehB7wH3gfzB+IHqAdeByIHAAb2BvwG+QbVBpEGUgYrBggFyQVxBR4E2gSSBDoD3AOBAyQCwwJoAhoBzQF5ASIA1QCSAE4ABv/A/3z/N/71/rr+hf5N/g/91f2i/XH9OP0B/N38zfy//KL8dfxB/Aj7x/uA+zn69Pqo+k756/mP+UL5AvjI+I74Vvgm9//33Pew93v3R/ca9u32tPZx9jf2G/Yh9jv2VPZn9nn2jPad9qb2q/a29sn22vbd9sr2nvZf9iP1/vXu9eD1yfW39br1yfXQ9cf1ufW09b712fX99iH2RfZ09rL26PcC9wX3CfcK9vL2tPZo9jf2OvZr9rP27/cL9xb3NPdy9773//gz+GP4kfi8+Oz5KPlm+Zn5xPnz+ij6WvqH+rj68Psp+1r7ifu/+/38PPx0/KT80fz+/Sr9V/2K/cX+Av48/nX+rP7i/xP/Qv90/6r/3wARAEIAbwCXAL8A8gEuAWUBkgG6AecCGQJHAm8ClQK4AtgC8wMIAxwDNQNdA48DvQPeA/ID/gP+A+8D2wPQA84DzwPQA9cD5QP6BBYEPwRvBJkEswTABM4E5wUEBQ8E+wTZBMoE5AUhBXEFxwYaBmEGmAbLBv4HLAdIB1MHWwdkB2sHbgdwB3MHdAd1B3kHgQeGB4IHfAd3B3QHcQdxB3QHfQeIB5MHmgedB54HoQenB64HsgewB6gHnwedB6IHpQeiB58HnwecB48HewdpB1wHTwdABzAHHwcNBv8G+Qb2BvAG6AbkBuIG2gbPBskGyQbFBrsGtga3BsgGyAbFBsAGtwatBqcGqwa1BrkGsQalBqIGpQamBpoGhwZ2BmkGWgZIBjoGNwY+BkUGQAYnBfoFxQWcBYsFiAV+BV8FKATpBLQEkARoBBsDqAM/AxMDHwMtAxYC5wLDArYCrgKcAoECZAJCAg8BvwFRANYAaQAU/8n/c/8T/r/+hP5S/gf9i/zj/Db7sftr+1H7M/rw+of6FPmu+Vz5FfjQ+JT4Y/g++Bz4APf19/34Bvf999/3vPeo96b3qfer97H3yff6+Dv4efit+Nf4+PkN+SD5RvmI+dX6G/ph+sn7Z/wo/Nr9Rv1N/PP8a/v/+9z75/vh+637bPtF+zL7E/rd+qL6bfoz+ez5pPlx+VT5Qvk2+Tb5UvmS+fD6S/qD+pr6sPrc+v761fpA+Wr4ofgb99L3mPdH9tv2YfXu9Yn1MvTk9Jb0QfPn85nzZfNH8y7y/fKc8gLxRPCP8A3vyO+o75PveO9S7ybu/e7c7rjugO4x7eDtoO1x7UXtGOzw7NLsvOy17MXs6O0J7RHtA+zy7O7s8uz57QDtCO0N7Qbs9Ozc7MTssOyj7Jzsk+yA7GbsTew17Bnr+eva67nrietJ6wjq1uqt6n7qSeoY6e3pvOmB6UTpDOjR6InoPOf257nneOcu5t7mkeZH5gDlvOWA5UjlDOTI5H7kN+P748fjlONh4yzi9+LA4ojiT+IT4dnhqOGB4VnhJ+Do4J/gS9/t347fNt7j3o7eOt3x3a7dYd0L3L7cgdxF2/vbrNtm2yzbAtr62xfbNtst2wHa1tqx2mTZ3NlP2QLY/9kP2QnY8djV2LbYk9h42GvYYdhN2DbYJdgb2A/YA9f/2ATYEtgo2EXYYdh+2KLY1dkW2WTZyNpA2rDa99sU2yjbVNuc2/PcU9y43R7dgN3h3kjeud8y37LgM+Cs4Rnhf+Hz4oXjLuPX5G3k8uV95hvmvedP58PoH+hw6MjpNem66kLqvOsw67rsYu0T7bTuSe7q76TwY/EH8YfyBfKh81Dz4PQ69H30yfUI9Rr1FvVO9fb29/gP+QP5qfn4+h/6afrz+538T/0i/h7/Bv+Y/+sASQDGATMBdgG2Ah0CnAMOA2sDxQQmBIsE9AVdBb4GFgZyBtYHNQeJB9kIMwiSCPQJXAnLCi8KgwrgC1sL5wxjDMINEQ1aDZ8N5Q43DpcO+w9aD7wQLxCwES4RkxHgEioShxL2E2ITuxP9FC0UUxR6FKwU5hUVFSYVGxUJFRIVSBWMFZIVMRSlFGEUmhUlFbMWJhaDFssXABc4F38XyxgWGGsYuBjEGGoX1RdCFqMVvRSfE6sTHxLHEk0RnxDyEIEQYxCYESQSKhPYFhEYQRmzGkYajBsTG8EcGRv8G9McCRySHRoddB2rHdMd3h20HVodBx0DHWkeAx5xHn4ePB3dHYAdLxz0HOUdDR1aHZYdih0nHJEb/huGGyUa1RqeGoIaeBp2GnsakBq9GwIbVRuiG9scAhwgHD0cWhx1HIcciRyEHIUcjhyOHHkcWRw4HBMb4RuzG5gbhxtyG2QbdRuRG4wbYBs0Gx4bBxrbGq0akhp6GlIaKhoVGfIZlBkPGLEYmBiLGFMYDhf+GCkYTRgyF+cXoheCF3cXYhc3FwcW8BcAFyYXQBc6FyQXHRcwF0QXPxcfFvwW4BbCFpQWVhYVFdsVoxVoFSwU8RS7FIUURBP3E6sTbRM+ExMS4hKqEmsSIhHWEZURZRFAER8RBBDtENEQqxCBEFwQOBAOD98Psw+ID2APRg9CD0oPRg8kDukOpg5oDjQOBg3YDasNgQ1WDSEM4gypDIcMdwxmDEwMKwwBC8ULfAs7CwcKzQqDCkYKSgqZCvkLGgrZCmAJ+QnICbsJsAmXCXcJWglDCTIJKwktCTAJJwkJCNoIqAiECHEIYghOCDkIKwgcCAYH7gfhB90H1wfKB7QHjQdUBy0HPAdzB40HXAcEBsgGvwbLBs4GyAbDBrkGqQaaBpQGiwZxBkwGMAYlBigGMQY9BkQGOwYfBgAF7QXmBeIF3AXWBdMFzAXBBbYFtAW9BckFzwXKBb0FsQWtBa0FqQWfBZ0FrAXJBeQF9QX8BfwF9QXuBewF8AX3Bf4GCQYXBh4GGQYTBhkGKAYsBh4GDwYaBkEGaAZ2BmwGXwZaBlkGVAZRBlUGXgZjBmIGXAZSBkUGNQYkBhAF+QXkBdUFxQWvBZYFgwV0BWUFVwVMBUUFPAUxBScFHAUHBOkEzAS5BKoEmwSMBH8EcARcBEYELQQRA/ADzwO0A5wDgQNiA0ADHQL9AuACxQKnAoUCZAJFAiMB+gHPAakBhgFhAToBFgD1ANUAtQCXAHkAWAA2ABT/8P/I/5//eP9T/y3/B/7g/rn+jv5g/jT+C/3l/cT9qP2N/XP9V/03/RL87vzR/Lr8ovyG/Gn8T/wx/A777fvU+777o/uB+137O/sZ+vX60fqu+o76cfpW+jr6G/n6+dr5ufma+Xv5XPk6+Rb49vjd+Mj4sviY+Hz4YfhF+Cn4EPf69+f31vfE97D3m/eK93v3avdb90/3Rvc69y73Jfcf9xb3Cfb+9vj29Pbs9uX25fbo9un26fbs9vD28/b29wH3EPce9yr3NvdF91X3Z/d694v3l/eh96r3s/e+98z33/fx9/74CfgX+Cn4OvhJ+Ff4Zvh1+IT4kPia+KP4rvi9+Mv41/jk+PL5APkK+RL5Hfko+TT5QflR+WH5bvl7+Yj5l/ml+bT5xPnV+eP58foD+hb6Jvo0+kf6Xfpw+n36i/qd+rL6xfrV+uP68/sE+xb7J/s2+0L7Tvtc+237fvuK+5L7nvuv+8L71Pvr/An8JvxA/Fn8cPxy/GP8cvzU/Xj+B/4//jj+Mf5E/lj+Yf5s/oH+kP6Y/qn+yv7q/v7/EP8r/0j/Xv90/5X/u//d//8AKABVAIEAtQD0ATgBfgHUAjkCmALiAzIDkgPXA8kDgQNgA6YENATNBV0F8AaLBy4H7wjdCdAKawplCb4IsweeBs4GZAZMBmAGkgbeBy4HYAdrB2sHdQeJB58HuQfSB9IHqQdmByYG+gbhBtAGugaRBloGJwYFBecFvAWGBU8FFATCBFkD7QONAzYC4QKRAkcB+QGhAUsBAAC+AHgAL//o/6X/YP8d/uD+p/5q/in97v29/Yv9Uf0Y/PL84fzV/Lz8kvxe/CX75fuf+1b7Dvq/+mP5/fmc+U/5Fvjl+LD4fPhR+DH4Evfo97L3fPdM9xz24Paa9lz2OvY/9mD2hvai9q/2tPa39rr2w/bU9uf29fb19t72qPZc9hz2A/YI9gn19/Xf9dj13/Xm9ef15PXg9eD18vYc9lD2gPaw9uL3CvcZ9xT3Efcb9x73B/bV9p72gfaX9tz3K/dV91b3Vfd197L39vg2+HD4o/jR+QP5Pvl0+Zn5tvng+hn6Ufp/+q766vsv+237ovvY/Bb8WfyX/Mv8+f0l/VL9gP2w/eP+FP5C/m/+nv7Q/wH/Mv9k/5j/y//7ACwAWwCJALgA8AEsAWMBjgG0Ad4CDAI3Al8CgwKlAsEC2ALpAvkDEAM2A2gDlgO2A8oD2QPeA9cDyQPDA8gDzQPNA8kDyQPQA+ED/wQmBEkEXwRsBH0EnwTIBOYE6gTkBOoFCgU7BXcFvgYPBl8GowbgBxoHTAdoB28HbQdqB2cHYwdgB18HXQdbB10HZQdvB3kHgweNB5UHnAehB6QHpQemB6kHrgexB7EHsQewB7AHrweuB6sHqQerB68HrQekB5oHlAeKB3cHYAdOB0IHOActByMHGAcKBwAG+wb5BvQG7gbrBukG4gbWBs0GyQbGBsEGvwbDBuEG5AbfBtMGxAa8BsAGygbQBssGuwarBqUGqQaqBp4GiQZ3BmsGXwZOBkMGQwZCBi8GCgXjBcUFsAWfBZMFkAWVBY8FZQUSBLYEdARKBA4DqQM8AwQDCgMlAywDGgMAAuYCxgKjAoMCZgJDAhEBxgFkAPkAlwBD/+f/df77/pv+Zv5G/g39m/z2/ED7qPtF+xH67vrD+n/6I/m5+VL4+fiw+HT4RPgf+AD35vfV99X33ffZ98T3rveo97H3ufe19673uvfk+Cb4aPic+MH43vj0+Qr5L/lu+cH6FPpl+sr7WfwH/Kn9DP0Z/OD8jvxT/Dn8JPvv+577Vfso+wX60vqR+k/6Ffne+a/5ivlo+Un5PflY+ZH5yfnz+h76T/p0+oT6kPqf+pX6Rvmx+Qz4hPgj99T3hfcq9sD2SPXR9Wz1GvTR9IL0KPPP84rzYfNH8xzywvIz8YDwzvA/7+fvvu+v76Pvje9q7z3vEu7u7sXugu4n7dDtl+117VLtJOz27NfsyezN7OLtAO0V7RXtCOz+7QHtCe0Q7RjtIe0j7RntBezu7Nfsw+y27LDsquyb7IXscOxX7DfsD+vo68DrjetR6xnq8erM6p3qZ+o56hLp4+mm6WbpLejz6KzoW+gP587nk+dS5wfmueZs5iXl4OWc5VvlGuTX5JPkVOQa4+Tjq+Nx4zrjCOLY4qbib+Iz4fbhxOGg4X3hS+EJ4MDgc+Af38Xfa98T3rzead4f3dfdhd0s3N/co9xq3CPb0tuG20rbKNsu21LbattV2yfbA9rg2orZ9dlj2R3ZItk32TDZF9j92OHYv9ik2JTYiNh12F7YTNg+2C/YIdgc2CPYN9hV2HjYldir2MfY9dk32YbZ4NpB2pja1Nr+2y3bb9u93A7cYty+3R/dft3f3kfeuN8v36zgK+Ci4Qvhb+Hk4nnjJePN5GXk9+WV5j7m3+dk583oIuhr6LrpIOmi6ivqp+sg67HsY+0a7bruRu7a74jwQ/Dq8XTx9vKN8zLzwfQq9Ij08/VO9WT1QfU39Zr2evef+LP5aPmo+bH54Ppd+wf7yPy9/ez/CP+7ABEAYADSAUQBlwHjAkoCwgMuA4gD3AQyBI0E9gVmBc0GJAZ9BuYHUAeoB/MIQAiUCO0JVAnHCjAKggrUC0cL0wxVDLcNBQ1PDZIN0Q4eDoUO+A9hD8gQRRDbEWURvxHuEh0SahLPEywTcxOkE8gT6hQdFGsUwhUAFREVBBT5FRAVTxWSFZQVMRSlFGkUuRViFg4WnRcWF3EXmBeXF5oXxBgXGH4YyxjKGHQYBRenFzEWUxUSE9MS6RJCEZ4Q8RBrEDQQUBCjERkRxhLmFJUWiBgtGT8aABrKG4kb4xvPG7Qb6RxXHLMc4h0JHT4dZh1aHSkdEx1VHe8enR8PHyce/x7BHnseHR2nHT4dGh1KHZcdsh1/HSQcyRxxHAobohtXGywbAxrMGpwajxqpGtobGRtkG7Ib9BwhHD0cUxxqHH8cjByWHKQcrhykHIQcYRxFHCccABvnG+ob9RvuG+Ub/RwpHDQcEhvwG+wb6hvHG5YbfBtsG0UbCBrXGq8aahn8GYgZKhjQGGkYFRf+GBkYLhgTF9oXsRetF7sXshd6FyQW4BbXFwAXLRc1FyEXGBcrF0cXSRctFwcW6xbTFrAWexY+FgMVyxWRFVIVEhTXFKEUZRQcE88TjRNbEy0S9xK2EnESKxHoEasReBFPETARGBEAEN0QrRB+EFgQNxAVD/IPzA+hD3EPUA9ND1kPVw8yDvcOuQ6DDlEOHw3tDcQNpw2JDVkNGAzbDLQMngyHDGkMSQwnC/cLuQt6Cz0K+AqjClsKVgqvCzkLlgt9CvQKUAnlCcoJ1wnbCcAJjwlcCTgJLQk3CUQJQQkiCOwItQiMCHQIXghDCCwIHggUCAIH7AffB90H2wfTB8AHlwdcBzUHSQeFB5sHXAbtBqAGkgaiBqwGrwa2BrwGtQaoBqAGmAaFBmgGTQY7BjEGMQY7BkgGSwY7BiAGCAX4BewF4QXVBcUFsQWhBaAFsgXPBewF/QX7BekF0gXCBbkFrQWgBZoFpQW9BdYF6AXwBewF4AXYBdkF3AXdBd8F6wX8BggGCQYKBg8GEwYKBfgF7gX7Bh4GRQZaBlYGRQY4BjUGOQY8BjwGPAY+BkIGRgZEBjkGKgYeBhEF/wXqBdYFxgWyBZkFgQVtBV0FUAVFBTkFKgUcBRMFCAT0BNgEvwSvBKIEkwSFBHsEcARgBE0EOgQjBAcD5wPKA7ADkwNzA1IDLwMNAu0CzwKvAooCZgJGAiQB/gHWAbEBjQFlATwBFQDxANAAsACUAHkAXgBBACIAAP/Z/7D/iv9m/0H/G/71/s7+pP55/k7+Jv4A/dz9vP2g/Yf9bf1P/Sz9B/zn/Mz8svyX/Hz8YfxC/B/7/vvk+877tvuX+3P7Ufsu+wn64/rA+qL6ifpy+lf6OPoX+ff51vm2+Zf5ePlW+TT5F/kA+Or40vi4+J/4hvhs+FH4Nfge+Ar3+Pfn99T3wvex96H3kPd/93L3ZvdZ90z3Q/c99zX3K/cj9x73GvcT9w73DvcQ9w/3DfcN9xD3FPcZ9yP3MPc890f3VPdh93D3gfeW96j3tPe898X30Pfd9+v3/PgM+Bn4Ivgu+D34TPha+Gn4efiJ+Jf4pPiv+Lr4x/jV+OL47fj4+QX5Evkd+Sb5Mfk8+Uf5U/lh+W/5evmE+ZL5ofmv+bv5yvna+er5+foK+hv6K/o5+kn6W/ps+nr6ivqb+q76vvrM+tv66/r7+wz7G/sq+zf7Q/tP+137a/t2+4D7j/ui+7X7x/vc+/b8D/wl/D78WPxe/E38Uvyp/Ur95P40/kj+WP51/oz+kv6V/pv+nf6c/qn+xv7i/vL/A/8d/zf/TP9k/4X/qP/K//IAJwBbAIsAwwEHAU0BkgHkAkYCoQLnAy8DggOvA4YDNwM2A7cEfQUsBagGDAZ3BwkH7AkcCjoKxAp8CZIIZwdOBn0GEwYJBjsGhAbOBwsHLgc7B0gHYAd9B5UHqwfBB8UHpwdxBzcHBQbYBq8GiwZoBkEGGgX3BdUFsAWKBWUFMwTmBIEEGQO8A2UDEQLBAnQCIwHOAXwBNQDwAKUAWQAU/9L/j/9J/wj+yf6I/kb+Cv3V/Z79Yv0r/Qj8+Pzr/M/8ovxu/Dj7/Pu1+2X7FPrD+mz6Dfmw+WT5K/j3+L74hPhT+DH4FPfy98r3nvdv9zv2/va79n32WPZZ9nn2o/bB9s32zvbM9sr2z/bc9u/3APcI9vf2wvZz9i/2GPYk9i32H/YH9fn19vX59gL2D/YU9gz2C/Ym9lv2lfbH9vb3Hvcz9zP3Lvcv9zb3OPcp9wX22/bO9vj3Qfd494X3g/ea99H4Fvhb+Jj4yvjx+Rr5S/l7+Zz5ufnk+h/6WvqK+rj68fs0+3j7tfvw/C38bPyp/OD9Ef0//W39mv3G/fH+G/5C/mj+kv7A/vL/JP9W/4j/uf/qABwATwB/AK8A5gEkAV8BjwG2AdgB+gIbAj4CYQKCApwCrgK5AsIC0ALqAw8DNANRA2QDdAN/A4MDgwONA6IDtAO2A6oDmgOPA48DmgOsA8ID2APwBBQERwSCBLgE5QURBUQFegWnBcwF8wYlBl0GkwbJBwQHOQdWB1oHTwdCBzsHOwdAB0gHTgdSB1gHYgdyB4YHmAejB6kHsAe6B8MHxwfFB8UHxgfGB8QHwge+B7gHsgesB6oHqgerB6sHpAeYB4wHggd1B2IHTgc9BzIHJwccBxMHCwcCBvsG9wb1BvEG6wbpBukG5gbdBtMGzgbOBtAG1AbaBvkG+gbzBuIG0QbMBtUG3wbfBtUGxga6BrQGsgasBpwGhwZ3Bm0GYgZXBlQGVwZLBiAF5AW3BaQFnwWUBYcFhwWYBaIFfwUmBLsEbAQ8BAMDogM1AvYC/AMuA2ADdwNpAzkC9wK9ApMCbwJFAhIB0QF+AR8AxABuAAj/g/71/or+Vv47/gX9mfz//Fn7wvtF+ub6pfp/+l/6JPnG+Vn4+Pis+G34OPgP9/L32PfA97T3tfe397D3pveo97T3vfe49673s/fU+Av4Rvh0+Jb4svjM+Of5C/lK+ab6Efp4+uD7W/vw/IP87/0i/Sn9Gfz9/Mf8aPvs+3f7K/sB+tn6nvpa+hf52fmm+Yj5eflg+Tv5Mflk+bj58/oI+hn6OfpN+kD6Kvon+hz54Pl2+Qj4rPhM99z3avcC9pj2IvWs9U71CPTC9G70EvO/84PzWvMx8ufyaPG/8RDwf/Ad7+bvzO++77Dvmu9270XvFO7q7rzudO4R7bTtf+1v7WHtP+0R7O/s4+zs7QHtFu0f7RjtDu0N7RjtJe0x7TvtQu0+7SztFOz97Ors2+zS7M/sy+y97KnslOx97F3sN+wO6+Hrqetp6zPrDOrq6r/qjOpe6jTqA+nF6YTpSOkP6Mzofegr5+Lnpedr5yvm5Oac5lbmD+XE5XjlMeTv5K7kbuQy4/jjv+OH41XjJ+L54sjikOJT4hXh4+HB4aDhb+Ev4OngpOBV3/zfn99G3vHent5R3gTdsN1Y3QrcytyM3ETb89uo22vbTdtY237bkNt320zbMNsO2q3aC9l12TfZR9li2VvZPtkk2QrY6tjM2LjYq9ia2IbYdNhi2E7YOtgw2DbYTthz2JrYuNjM2OfZGdli2bXaB9pT2pfa0tsM20/bmtvh3CXcb9zJ3SvdjN3u3lbex98+37jgMeCg4QLhY+Ha4nLjHuPF5GHk/uWm5k/m4udV57LoA+hP6KHpCOmJ6hTqlesW66/sZe0e7b/uS+7Z73vwJ/DL8Vvx5PJ28w7zlPQH9IH1DPV/9aD1b/U89Wb2Fvcv+F75PPmO+X/5fPnR+nv7Xfx8/c3/CP/aAD8AhADgAUwBsgIXAoQC7wNLA58D9ARHBJ4FAwV1Bd8GNgaNBvcHZQfACAkIUAibCOwJTQm+CiwKgQrRCzsLvQw3DJMM4Q0vDXcNtg4DDm0O5Q9ND6oQHRCuETURiRGwEdwSKhKIEtgTERM/E2oTmxPlFE8UvRT+FQEU5xTgFQIVQRV0FWYVBRSPFHEU3RWbFl0XCxeuGCoYSRgOF80X4hhZGO0ZQRkmGLoYTBgDF6gW6hXGFJATjhK9EgMRbBEXEQ0RNhF5EcISFhKnE7gVTBcEGHgZlRp7Gy0biRubG6gb4hwoHEccRRxVHI4cyhziHOIc/x1bHeMeZR68HusfDR8vHzke/B5tHb8dSR04HV8dcR1WHTMdJR0QHNUchRxKHCYb8RufG1QbLRshGxYbFBs5G4ob6BwrHEccTxxaHG8ciBydHKscqxyZHIEcdhx3HHIcaBx2HKYc0BzMHKscoByxHLMclxyBHIsclBx0HD8cIxwdHAUbyhuIG1YbJxrqGpoaNxm5GSkYrBhjGEMYJxf4F8MXohehF7YXwxeoF18XCRbXFt8XCBcoFzMXNxdFF1YXWBdDFyMXBBbqFswWohZrFiwV7RWxFXYVNxT3FLwUghQ+E/ATpRNoEzMS+RK4EngSPxIJEc8RlBFlEUoROxElEPsQwhCNEGcQSRArEAwP6w/AD48PaQ9eD2APVA8vDv4O0g6rDn4ORQ4KDdwNwQ2pDYENRg0JDN0MvwyiDIMMZQxJDCUL9Au2C3ELJgrYCpYKfgqpCxQLiAuvC1wKvwo8ChMKMApMCjYJ7gmWCVAJMAkwCTsJOwklCPkIyAieCH8IZAhICDIIJggcCAgH8QfkB+UH5gfcB8QHmgdkB0QHWQePB6AHXAbsBp0GkAafBqQGogaoBrcGvwa7BrIGpQaSBnkGYQZMBjkGKwYoBi8GNwY4BjIGJgYWBgAF6AXNBa8FlAWJBZgFvAXnBg4GJgYmBhAF7gXRBbwFrQWkBakFuAXJBdUF3QXgBdwF0gXKBcoFygXGBccF1QXnBfIF9wX8BgMGBAX7BfMF8gX6BgsGJAY4BjsGLgYgBh4GJAYoBiUGIAYhBigGLwYuBiEGEwYMBgkF/wXrBdUFwgWwBZoFggVvBWEFVAVEBTAFGgUIBPwE8gTiBMsEtwSnBJcEhQR3BG8EZwRZBEgEOQQpBBMD9wPZA7sDnAN9A14DPgMbAvgC2AK2ApECagJHAiQCAAHaAbcBlAFsAUEBGQD1ANIAsgCWAH4AZQBLAC0AC//l/7//mv95/1b/Mf8L/uP+uf6O/mb+Qv4d/ff90/20/Zn9f/1i/UD9Hfz7/Nz8wPyk/If8a/xN/Cz8Dfvy+9v7wvuj+4D7Xfs7+xj69frU+rv6p/qR+nX6VPox+hD57vnN+a75j/lx+VT5Ofki+Qv48vja+MT4rviV+Hr4X/hF+C74G/gL9/z37Pfc98z3uvep95n3i/d993D3Zvdf91j3T/dI90P3Pvc59zf3OPc49zX3Mvcz9zb3OvdB90r3VPdc92b3c/eB9473nvey98T3z/fX9+H37/f9+Ar4GPgn+DP4PvhJ+Fb4Y/hx+H/4jvic+Kn4tfjD+NH44Pju+Pn5AvkL+Rf5I/kt+Tj5RPlS+V35aPl0+X/5iPmS+Z/5rfm4+cP50Png+fL6AvoS+iH6MPo/+k76XPpq+nj6iPqa+qn6t/rE+tP65Pr0+wH7Dvsa+yn7OPtF+1H7Xftn+3P7gvuV+6j7ufvM++P7+vwN/Cf8RfxT/Ef8QPxz/Ob9Yv28/fv+O/54/pj+mv6V/pf+l/6W/qD+tf7J/tb+5/8C/x3/M/9P/3H/kv+0/+MAHwBYAIwAywEYAWIBogHsAkoCogLkAyEDYgN6A0cDBwMwA+sE4wWkBgkGMwZhBtwH3glHCn0K2Qo5CQsH1wbfBjEF2wXhBiUGcwawBt4HBwcsB0sHZweCB5kHrge5B7QHmQdyB0MHDAbMBo8GZAZIBi0GDAXmBcIFogWHBW4FSQUKBLYEWwQAA6UDSQLxAp4CTAH5AawBZgEfANQAigBHAAX/v/92/zH+8P6u/mr+K/3v/bH9cv09/R79D/z+/Nv8qfx0/EL8Cfu++2P7Cfq4+mr6F/nF+X35QvkF+MD4e/hB+Bv4BPfz9973vPeJ90v3CfbK9pP2c/Z29pj2wPba9uX26Pbi9tb2yvbK9tr28/cG9wL22vaW9lj2QPZI9lD2R/Y59i/2J/Yc9hz2K/Y29ir2FfYa9kX2f/az9uH3Dfc19073VvdT90/3Vfdh9173PfcU9wv3Lvdf94H3m/fD+AD4RfiF+Lz45vkF+Sf5VvmO+b/56foW+kv6gfqy+t/7DvtC+3/7w/wF/ED8c/yk/Nb9B/03/Wb9kv27/eL+Cv4x/lj+f/6r/tv/C/85/2f/l//I//kAKABTAH4ArwDrAS0BZwGPAakBvAHQAeoCCgIoAj4CSgJOAk8CUQJaAmwChgKhAroC0ALhAu0C+QMSAzQDUQNcA1QDRwM/A0ADSANWA2sDiAOvA+AEGgRWBJME1AUcBWgFqgXZBfcGEwYzBlUGeAaiBtUHBAcfByAHDwb+BvYG+wcKByEHOwdVB24HhQecB7EHvge9B7QHsAe4B8YH0AfUB9QH0wfPB8wHywfKB8UHuwexB6kHpAefB5kHjweEB3kHbwdjB1UHRgc5By4HIQcVBwkG/wb2BvAG7gbrBuYG4QbfBuEG4wbiBt4G3QbiBuoG8Qb2BwsHBwb/Bu8G4AbdBuQG5wbhBtcG0AbLBsIGtAalBpQGhQZ5Bm4GXwZTBlQGWQZDBgYFuwWIBXgFcwVrBWYFbgWABYAFWAUIBKsEYQQnA+EDfgMWAtgC3gMcA24DqQOtA3cDKALmArcCiQJRAhYB2gGTATwA5ACSAC3/pf8O/pz+Yv4+/f79jv0D/Hj78/tu+u76jPpZ+kP6HfnO+Wj5DPjD+IP4R/gW9/T31ve696j3pvet9673qvep97H3ufe697f3uvfM9+/4GvhB+GH4gPii+MT46fkk+YT5//p4+uT7Vfvf/Hb8+v1V/Yv9n/2E/Sn8kPvk+177E/rn+rT6cvov+fP5ufmI+W/5ZvlN+SL5FPlE+Yv5sPm6+dr6DfoS+dP5k/mT+bz5xPmR+UH44/hn99H3R/bb9nX1//WM9Tj0+/Sy9FXz/fO784nzUfMA8ovx8/FP8L7wV/AY7/Tv3u/L77bvmO9u7znvBe7Z7qnuX+357ZjtZu1m7XHtYu077RftCu0S7SPtMO0z7S3tKO0t7TvtTO1d7Wrtbu1h7UTtJe0P7QLs/ez77Prs9ezm7NLsvOym7Ivsa+xE7BTr1euQ61PrJusD6tzqr+qA6lDqHOnh6aPpZukr6O3opuhU6ADnt+d750LnBObD5n/mOOXq5Z3lVeUR5Mzkh+RH5A/j3OOt44LjVuMm4u/itOJ24jriCeHm4cThlOFX4Rfg1+CL4DHf1d9+3yre1t6D3jPd4d2M3Tvc8tyr3GHcF9vU253bftuD25/bqtuS23LbYttC2tbaJtmN2VfZdNmT2YrZatlO2TXZFtj02NrYydi42KXYkth92GPYSNg42DzYVdh92KfYx9jg2QLZQNmW2fHaQtqG2sLa/ts/24Tbw9v63DHce9zd3Ujdrt4Q3nje7N9k39rgSOCq4QThaOHm4oHjJuPE5F/lAuWv5lDm0Ocw54Ln1Ogo6IXo8+l26gHqh+sR67DsZu0b7bzuS+7Z73LwE/Cv8UTx1fJn8vLzbfPk9G/1EPWY9cz1qfVv9XD14/bQ+AP5EvmW+Yr5Vvly+gX69/wq/YT+0f/RAGsAxAEQAWUByQI6AqsDCANUA6QEAQRdBLQFEwWBBesGRQadBwMHbQfGCBIIXAioCPMJSAmxCh0KeQrOCzQLqwwZDG8MvA0MDVkNnw3vDloOzQ8tD30P3BBWEMsRGBFGEYAR2BI2EnkSqBLZExgTYhPCFD8UthT0FOsUyBTDFOkVGxUyFRMUwBR0FH8U/RW3FmwXGhfYGIEYwBiEGDMYShjaGYAZwRl5GOwYdhg0F+8XZhaaFcEU/BRGE6MTNhMRExsTMxNPE2cTbhOBE/gVEhafGCMZSRoQGpga8BsqG2QbpxvWG9Qbuxu8G+ocKBxbHIgcxh0WHWIdmB3DHf0eVx7DHw8fBB6UHe4daB0uHSUdGB0AHQQdMR1bHVgdMx0THPsczhyKHFAcLhwDG7QbXBs8G28bzhwcHD4cRBxMHGUchBybHKIcmxySHJgcshzPHN8c7x0jHXsdvh23HXYdOR0ZHP8c2hzGHNEc2By5HIUcaxxuHGccORv0G7obmhuQG4cbXBr4GmYZzxlUGPMYnBhIF/wXuheLF38XnRfJF9QXpxdaFx4XERctF1QXcBd+F4EXfBdtF1MXMRcOFu0WyhacFlsWERXPFZkVYRUgFN0UnRRZFAoTtxNuEzAS9RK8Eo0SbBJGEgwRxBGLEXERaRFWEScQ6BCwEIgQZhBDEB8P/A/VD6gPgw9uD2APSg8nDwQO5w7MDqUObw4zDf8N2Q25DZINXg0mDPUM0Qy0DJkMfwxkDEcMIgvqC50LSQsBCsgKlwp8Cp4LAgtjC2sLEAqgCnIKiAqhCoYKMQnHCW4JOQkmCSMJIAkTCPkI0witCIwIcwhdCEsIPggwCBkH/gfwB/AH8AfhB8QHmwdvB1QHYAeGB5IHYAcPBuAG5wb6Bu8GzQa1BrQGvwbGBsMGtgaiBosGdgZiBkwGNQYkBh0GHQYjBiwGMQYqBhcF/gXgBb8FowWaBaoFzAXyBhQGLAYvBhwF+wXcBcQFswWtBbYFxQXPBdAF0QXVBdYF0AXKBcQFvAWyBbMFwQXVBeEF6QX0Bf8GAgYBBgQGCwYLBggGDgYeBikGJQYcBhoGHAYaBhQGEQYUBhkGGwYWBgkF/gX7Bf4F+gXoBdEFvAWqBZcFhQV3BWwFXAVGBS0FEwT+BO8E5ATXBMcEtQSkBJEEfQRtBGEEVgRHBDYEKQQbBAgD7wPUA7UDlQN2A1sDPgMdAvsC2wK6ApUCbgJKAikCBQHiAcIBowF+AVUBLAEHAOMAwgCkAIoAcABTADMAEf/t/8n/qP+I/2b/Qf8a/vL+x/6d/nn+Wv44/hH96P3E/aX9if1t/U/9MP0P/PD80fyy/JP8dPxX/Dr8HvwE++n7zPur+4j7ZvtF+yX7B/rt+tn6x/qx+pL6bvpJ+iX6A/ni+cP5pfmK+XD5WflC+Sr5Efj7+Of40vi6+KH4h/ht+FT4P/gv+CH4FPgG9/b35PfT98L3s/ek95j3jveG9373dPdr92P3Xfda91z3Xvdc91j3VvdY91v3Yfdp93T3fPeB94r3l/ek97D3vvfQ9+D36vfz9//4D/gc+Cb4Mfg/+E74W/ho+HX4gfiN+Jr4p/iy+Lz4yPjW+OX48/kB+Qz5Fvkf+Sr5NPk++Un5Vvlj+W/5efmD+Yz5l/mi+a75ufnD+cz52Pnn+fj6CfoX+iP6MfpB+lH6X/pq+nj6iPqX+qP6r/q8+sv62vrp+vX6/vsI+xf7J/s2+0L7Tfta+2f7dvuH+5j7qPu6+9D75fv6/BP8M/xL/En8PvxN/IH8xv0O/WP9yf4g/kb+Rf5B/k3+XP5n/nP+g/6S/qH+uP7Z/vn/F/84/13/f/+j/9UAEQBKAIAAxgEZAWMBnQHhAjwClALTAwUDMwM+AxQC9QNRBEAFYgY7BpwGpQaeBuwH3QlICnYKpQnBCGQHOAZ1Bf8FygXYBhUGVgaFBrQG9gc7B2gHeweIB50HsQezB58HgQdlB0EHCAa+BnoGTQYyBhYF8wXPBbIFngWQBYMFaQU3BPAEngRFA+MDfgMeAsYCcgIgAdQBkAFOAQsAyQCGAD3/7/+j/1//Hf7W/o3+Sf4K/cn9iP1S/TH9IP0L/OX8sfx7/En8Dvu++1v6+vqo+mH6GfnU+Zb5XPkY+Mn4fPhC+CP4GvgZ+A335fee90z3AvbI9p32i/ad9sf27vcB9wX3Bvb89uD2v/av9rz22/b29v325Pay9oL2avZr9nD2b/Zz9nn2cPZT9jr2O/ZH9jz2HfYP9iv2X/aO9rD21fcG9zz3Zfd093L3d/eQ96v3o/d090D3LvdC9273pffn+C/4b/ik+M748PkP+TP5avmx+fv6Ofpq+pX6wfrw+x77Qvti+437y/wN/EH8ZPyE/Kv82f0H/TT9YP2J/a/91v38/iL+R/5u/pj+wf7o/xT/Rf91/5//xP/mAAgAMgBoAKgA5AEOASMBLgE7AVEBbwGNAaIBqwGtAa0BrgGxAbwB0wH1AhkCOQJQAl8CcAKMArAC0gLoAvIC+gMJAx0DMwNLA2gDjQO6A+wEHQRNBH8EugT+BT8FdgWgBcUF7gYVBjYGUgZxBpYGugbQBtMGxwa6BrYGvgbTBvYHJQdcB48HtwfTB+UH6AfbB8YHuAe4B8IHzQfUB9gH1gfPB8cHxgfIB8YHvAewB6YHnQeTB4gHfQd0B2oHXwdUB0kHPgczByYHGgcPBwMG+QbwBuoG5wbkBt8G2wbYBtkG3wbmBu0G8wb9BwgHEAcPBxYHDAcFBv0G9wb3BvgG8gbjBtgG1QbPBr4GqAaVBokGggZ7BmoGUAY6BjUGNgYeBd8FlAVfBUcFPAU2BToFRwVHBSoE9gS5BH0EPwP0A5cDMALXAqQCpQLYAywDeAOVA3cDPgMNAuMCqwJgAhgB3QGeAU8A/QCwAFT/0v89/sb+gf5N/f79if0K/Jf8Kvuu+yj6tfpu+kj6HfnT+Xf5Jvjl+Kn4avgw+AT34PfD97T3t/e/97/3t/ey97b3wPfI98z3zPfP9973+/ge+D/4YviK+LX43PkN+V/50fpJ+rT7J/u8/G39Df17/bT9wP2Y/S78kPvr+237Hfrc+o/6Pvn9+c35n/l0+Vv5T/k0+Qn4+fkZ+UX5Vvlq+av58fnb+WL4/vka+Y353PnJ+XH49vha97H3JfbC9mP17PV69S308vSj9EPz+PPK85nzP/K48hjxd/Ds8IXwRPAa7/7v6u/X77vvku9c7yPu7+7E7pbuT+3t7Y/tX+1m7X7tfe1g7T/tMO017UHtSu1P7VHtVe1d7Wrteu2L7Zntmu2G7WPtP+0n7R7tHe0f7R/tGu0M7Pns5OzM7LLslOxv7D/sAeu863zrSOsf6vnqz+qe6mnqNOoD6c7pkelQ6RPo1OiI6C3n1eeO51PnGebZ5pfmVOYN5cXlgOU55O/kp+Rq5DjkDOPi47njjeNZ4x3i3+Kh4mbiNuIQ4enhuOF94UPhBuC94GbgDt+632TfCd6w3mDeEt3A3WzdG9zN3IXcR9wR2+Lbwdu828jbx9uv25vbl9t32wDaSNmx2YbZqtnL2b/Zmtl72WDZPtkX2PjY49jQ2LvYptiP2HHYUtg/2EPYXdiE2K3Y0Njz2SPZbtnO2jLaidrP2wvbRNt927Tb4twK3D3cjdz43Wrd09423qDfFt+P3//gYeC54RbhiuIa4rfjSuPR5F7lAeWr5j7mqub650nnougE6G/o5uls6fXqfusN66/sYu0S7bDuPu7K713v9vCR8SvxxPJa8uLzWPPP9F/1BvWW9d311/Ww9aL13faF95r4x/mL+af5ZPlJ+ar6fvub/Of+SP+LAH0BDgFaAZAB2gJCArIDDQNVA6UECQRvBMsFJQWIBe0GSwamBwkHawfCCBMIZgi3CQEJTAmnCgwKawrFCyoLmgwDDFgMogzuDToNhA3ZDkEOrg8LD1kPsBAZEH0QxBD3EToRlxHvEikSUBKFEtMTMROcFBUUhBS8FLYUoBSqFNEU6xTaFKUUZxROFIkVGBXEFlsW8RexGIIZARj/GMkY2RlJGbkZuhlEGK0YTRgtGBMXzxdsFwkWqRY8FdQVnRWfFbMVvRXAFbsVkBVKFUQV3xcGGDkZChl7GcgaGRpyGswbHhtVG2YbYRtkG34bpxvbHBwcZhyiHL4cxBzPHPkdRx2iHeYd8R2+HWodIRz4HN4cwxyzHM4dFh1fHYEdfh1wHWEdSh0xHSkdJRz2HH8b6RuBG3MbpxvkHAccFBwiHD0cXxx7HI0cnxy9HOsdHB08HUcdXR2iHgkeVB5QHgwdvh2DHVEdIx0LHQwdCxzvHMkctxy8HLcckhxSHBIb7hv0HBUcIhv1G5AbERqQGhIZlxkoGMIYUxfcF4gXjhfuGFsYfBg1F74XaRdcF4IXrBe8F7cXqRecF4kXaRc+FxUW8xbLFowWOxXxFboVihVLFQAUtRRsFB0TyRN7EzkS/xLRErYSqBKOElISARHBEaURnBGGEVURFhDdEK4QghBVECwQCQ/mD78Pmw9+D2YPSw8uDxIO+Q7dDrsOkg5kDjIN/w3PDaANbw07DQoM4gzHDLMMnAyBDGYMSgwcC8wLbQslCvQKuwpxCk0KgQrtCzMLIQriCrsKuQqxCn8KKQnLCX0JSQkvCSEJFwkKCPcI2wi6CJ4IiQh4CGUIUwg/CCUICAf0B+4H6QfYB7wHnAd7B2EHXQduB3cHYQdCB0MHaweIB24HJQbfBr0GuwbHBs4GyQa4BqAGiQZ0BlwGQwYvBiIGGwYcBiQGLQYvBisGIwYXBgIF6AXUBdEF2wXsBf8GEAYXBg8F+wXnBdYFxwW/BcEFyQXNBcwFzwXXBdsF2AXQBcYFuAWpBaQFrwXABc8F3gXvBf4GBQYLBhcGIAYbBgwGBwYRBh0GIAYcBhcGDwYFBgEGBgYNBg0GBgX9BfUF8AXvBfMF8AXiBc0FtwWjBZIFhQV9BXMFYgVJBS4FFgT+BOsE3QTSBMUEtQSkBJIEfwRsBFkERwQ0BCIEEgQCA+4D2APAA6UDhQNnA00DNAMXAvgC2QK5ApQCbwJOAjACEAHxAdYBuwGbAXQBSgEiAPwA1wC2AJgAegBZADYAE//x/9D/sf+Q/23/Rv8e/vX+y/6j/oP+aP5J/iL99/3P/a39jv1y/Vn9Qf0n/Qv86/zJ/Kb8hPxm/Ez8MvwX+/r72fu2+5L7cPtR+zL7F/sC+vL64frI+qf6gvpd+jn6F/n4+dr5vfmi+Yr5dPld+UT5LPkX+QP47fjW+MD4qviS+Hn4Y/hS+ET4Nvgo+Bj4B/f19+X31/fK97/3tveu96T3mfeN94H3evd393r3fPd693f3d/d69373hPeN95n3oven9673uvfG99L34Pfv9/34B/gR+B/4L/g6+EP4TPhZ+Gf4dfiE+JH4nvir+Lf4w/jM+NX43/jr+Pf5A/kR+R75Kvk1+T/5SflU+V35aPlz+X75h/mO+Zf5o/mw+bz5xfnO+df54vnv+f76Dvob+iX6MPpA+lH6YPps+nn6h/qT+pz6p/q1+sP6z/rb+uf68fr7+wj7F/sk+y/7PftN+1z7aft3+4f7l/uo+7371Pvp/AH8H/w8/Ej8RfxE/Ez8X/yE/Mz9Mv2J/a39rf2z/dD99f4Q/iL+Nf5J/mH+gv6r/tP++f8g/0j/bv+X/8oAAwA4AG4AtAEEAUoBgQHCAhcCawKnAtMC9QL5AtwC4gNrBIEFxAbABz8HUQcxB0UH9gk4Cl0KjwmdCCEG4QYqBdkFwAXRBgEGMwZfBpgG7wdHB3kHgQeDB5YHqgelB4cHaAdUBzgHAga6BnsGUQYxBgwF5gXHBbUFqwWoBaMFjwVjBSIE0wR5BBYDrgNMAvMCnAJJAf4BvwGHAVABEwDJAHQAHP/N/4j/Q/72/qf+YP4i/eH9n/1k/T39J/0Q/Ov8t/yA/Ev8Dfu7+1n69/qi+ln6F/nf+bD5fvk7+Oj4nfhx+Gf4cfh4+GD4HPe19032/fbK9q72sPbS9wX3J/cu9yj3JPcX9vP2xfas9rj21vbv9vT24vbA9pz2h/aC9oX2ivac9rD2rPaD9lb2SfZT9k72LfYU9iH2R/Zj9mr2dfad9uP3Mfds94f3lfey9973+Pfk96/3gfd595v32Pgj+G74qfjT+PH5DPkq+VD5hPnL+h76cfqx+t36//sm+1H7cfuC+5j7wfv0/Bv8MvxJ/Gv8k/y8/OT9D/05/WD9g/2k/cH93f3+/iH+Q/5l/pH+xf72/xr/NP9N/2r/i/+1/+cAGQBAAFgAaAB7AJYAugDeAPoBCgEVASEBMQFDAVoBegGlAdQB+wIWAiYCNAJJAmYChQKiAsAC4gMGAyYDQwNgA4EDpwPSA/4EJgRNBHkErQTlBRIFMQVOBXYFpgXVBfgGEQYmBj0GVgZsBnwGhQaLBpUGpAa9BuMHHAdgB58HzQfnB/MH8wfoB9gHzAfHB8cHyQfPB9QH0wfKB78HuQe5B7YHrgejB5sHlAeMB4IHdgdsB2AHUQdDBzkHLwchBxIHBwcBBvwG9AbtBukG5gbhBt0G2wbaBtkG4AbuBv4HCwcVByEHJwciBxsHDwcMBxAHFAcYBxQHBQbuBt0G0gbEBq0GlAaDBnwGeQZwBlsGNgYSBf4F9QXfBa8FdAVEBSMFDAUCBQgFCQTpBK4EdgRZBEQEFAO1Az4C0QKJAmUCXwJ2Aq8C9wMrAzcDKgMZAv0CwAJpAhkB3gGoAWQBGQDQAHn//v9v/vb+pP5e/gH9jP0Y/LT8Vfvq+3X7CPqz+nH6Lvnd+Yb5O/kB+M74lvhb+CP39ffY98/31ffb99T3yPfE98v31vfe9+L34ffe9+X3+/gc+D74YviP+MH46vkO+Ub5nvoD+mX63fuJ/Fr9Ev19/Zz9iv1T/PX8ePv5+4/7NPrR+mT6BfnI+aX5g/ld+UP5NPkb+Pf45/j9+Rz5MflY+aj53/me+Pz4l/je+Yr5+fnj+XL44fg795L3Dfax9lb14PVu9SD04/SV9EP0DfPp86LzGPJf8aXxDfCi8F/wNvAX7//v8u/l78fvj+9J7wju1O6q7oHuRu337ajte+187Y/tke187WPtWO1Y7VvtX+1n7XXthO2P7Zfto+207cLtwu2r7YXtYO1H7TvtNu0z7THtL+0p7R3tCOzr7MzsrOyI7FvsIuvl66jrcutD6xvq8urA6ofqVOos6gLpx+mA6Tzo/ei26F3oAOew523nLubs5qzmbeYu5e3lqeVh5Rbk0uSd5HDkROQX4+vjv+OL40/jEOLS4pniaOI84g/h2uGj4W3hNODt4JvgR9/z35ffNd7b3o3eQ93x3ZrdR9z93LzchtxX3CrcB9v62/rb8NvY28rbyNuf2yDaadnf2b/Z5toC2e/Zxtmh2X/ZV9ku2Q/Y+tjn2NPYv9ip2IvYa9hZ2F/Yedic2MLY6tka2VvZr9oS2nna1dsh21zbjdu62+TcCtww3GXctd0c3Ynd7d5O3rrfM9+q4BXgcODL4TnhyOJv4w3jiOPu5GTk/OWc5h7md+bA5xfngef06Gro5+lr6fHqeOsH66jsWO0F7aHuK+6v7zrvz/Br8Qjxp/JB8s7zSfPC9FH08PV59cj13vXa9dj18/ZZ9y74TPk7+Zn5ePlM+XX6CPrx/CX9mf8gAG0BQwGkAcUB6wI6AqUDCQNcA7AEFASBBOUFPwWXBfAGSQamBwgHZwe+CBEIaAi/CQ0JVwmpCgQKXgq4CxoLhQvtDEYMkAzUDRgNYg24DhoOfw7dDzYPkw/3EFIQlxDLEQsRXhGvEeYSDRJDEpMS8xNXE8EUIBRXFGUUcBSaFMoUzRSVFEcUFhQlFIkVNBXuFogXERfCGJkZPxlvGUwZORlYGWgZIRiTGBUX7RgJGCcYHhf9F+AXxRecF3UXcheVF7wX0hffF9wXpBc4Fu4XIRe+GFEYihiNGKsZBBl8Ge8aVRqsGvEbIBs5G0MbTBtqG6Eb4RwOHCEcJxwvHD0cTRxYHFscWBxbHGwchByPHIMcbBxmHIQcxB0IHTkdTR1NHUYdSB1eHYcdpB2IHRwcfhvuG6AblxuwG8gb0xvcG+0cChwyHGgcrx0EHVcdjx2gHZwdqh3lHjoeeR6CHmIeNR4IHdcdrB2YHZcdkh1/HWsdYh1dHUcdHhzkHKQcbRxUHFwcbBxkHDsb+BudGygaqRo8Gd0ZaBjFGCYX5RgmGKkY9hjLGE4X2hetF7wX3BfqF+IX0RfDF7UXnxd3F0gXHRbyFrcWZRYTFdUVpBVqFR4UzBR+FDAT4BOWE1cTIxL9EuwS5RLMEo0SORH4EdoRzBGvEXsRQBEIENMQnRBsEEYQKBAHD+APug+cD4MPaQ9NDzAPDw7tDswOsg6UDmoOMg31Db4NjA1bDSoM/wziDNEMwAyoDI4MdwxOC/8LnQtTCyoK+gqqCmAKWwqcCuEK+wryCuQKzgqcCk8J/Am2CYEJXwlPCUYJNwkhCQcI6wjNCLYIpQiTCHkIXAhBCCcICgfvB90H0QfCB64HmweHB3AHYAddB18HWgdaB3kHsQfRB7EHWgcABssGvgbHBtMG1AbFBqoGjgZzBlgGPgYuBioGLgYxBjIGMwY1BjsGRgZRBk8GNwYUBfcF6QXnBe0F9wX/Bf8F+QXxBekF3wXVBdAF0AXSBdQF2gXiBeUF3wXVBcsFvgWtBaAFoQWrBboFzgXkBfUGAAYJBhcGIQYcBg4GBwYMBhMGEwYPBgYF9gXmBeYF9AX/BfoF7AXjBeIF4gXiBeEF3wXWBccFtAWgBY4FggV9BXQFYgVJBTEFGgUBBOoE2gTQBMQEtASkBJQEgwRuBFUEPQQmBBID/wPrA9YDwQOtA5QDdgNXAz0DJgMMAvEC0wKzApACbQJQAjYCGwH/AeYBzwGyAYsBYAE2AQ0A5gDDAKMAgwBfADoAFv/0/9T/tP+S/2v/Qv8X/u7+xf6g/oP+af5M/if9//3Z/bX9lP13/WL9UP0+/Sf9Cvzo/ML8nfx9/GH8R/wr/Av76fvG+6T7hPtk+0X7KfsU+wP67vrT+rL6kPpv+k36L/oT+fj52/m9+aP5jfl1+Vz5Qvks+Rj5A/ju+Nv4yPi0+J74iPh1+GP4U/hE+DP4IfgR+AP3+Pfu9+T33PfT98r3vvew96P3mfeV95b3l/eW95X3mPed96H3pvet97j3wvfJ99D32/fn9/T4AfgP+B34KPgz+EH4T/hZ+GL4bPh4+IP4kPid+Kv4uPjF+NP43vjo+PH4+/kG+Q/5GPkk+TL5P/lK+VP5X/lq+XP5e/mE+Y35lvmc+aP5rvm8+cf50PnZ+eT57/n6+gX6FPoi+iz6NvpE+lP6YPps+nn6hvqO+pb6ofqw+r36xfrP+tz66Prz+wD7DvsY+yH7L/tA+0/7Wvtm+3X7h/uY+6z7w/va+/D8Cvwm/Dz8R/xL/Ez8SfxR/Hn8wP0C/SL9Kf08/Wf9mP28/db98f4Q/jL+Wv6H/rX+3/8J/zP/Xf+M/8D/9gApAF4AngDlASYBXwGeAegCLgJmApQCswKwApgCtQNYBH8FzQbcB3sHrQeWB40ICgkvCnAK5wogCIYG+AYEBacFmgWxBd4GFAZLBo4G5Qc8B3EHfweDB5MHnweTB3QHWwdOBzUHAgbDBo4GZwY/BhYF8wXeBdEFyAXDBb0FqwWABUAE8gSbBDsD1wN5AyICzAJ6AjQB/gHRAZ8BXAEFAKIAP//r/6P/XP8N/r/+ev48/fr9s/1x/UL9I/0G/N78qvxz/D38APu0+1n6+vqi+lT6Fvns+c75qPlr+R/44PjH+NX48fj3+Mj4Yvfg92v3HPbw9uH27vcY90j3YPdb90/3Sfc/9x728fbX9t328Pb59vP24vbJ9qz2l/aO9or2jPaZ9qv2qfaD9lX2SPZY9lz2QfYl9iT2MvYt9g/19/YJ9k32s/ca92X3jPeq99j4Dvgu+Cn4EvgI+Bn4RPiC+Mf5Bfkx+Ur5Xfly+Yf5nvnD+gX6Yfq8+vj7FPsq+0n7Zvt2+4H7lvu1+9L76/wK/DH8Wfx7/J78xfzu/RT9M/1N/WD9df2Q/bH90P3v/hn+Tv5//qD+tP7J/uP+//8c/zz/Yf+F/6X/w//iAAYALwBcAIUApAC9ANoA/gEmAU8BegGpAdgCAAIbAisCNQJDAlcCcgKTArwC6QMSAzADRgNcA3gDmAO+A+cEDwQ3BGYEngTWBP0FEgUlBUMFawWRBa4FxAXWBeYF+gYWBjgGWgZ5BpYGsgbOBvAHIAdbB5EHtwfLB9QH1wfYB9oH2wfYB88HyAfIB8sHygfCB7gHsAerB6UHnQeUB40HiQeFB30HcgdlB1YHRAc0BygHHgcPBv4G8wbwBu8G7AboBuUG4gbdBtoG3QbgBuIG6gb9BxIHIAcnBy0HMQcqBxwHEQcVByEHLAcuByUHEAb1Bt4Gywa0BpsGhQZ1BmkGXQZOBjgGEwXmBcEFqQWUBXUFTgUnBP8E3QTMBMcErwRxBCUD+wQGBBkD+QORAwYCjQJDAiMCFgIYAjMCagKpAtoC9gMBAvECugJnAhkB5AG4AX8BOgDxAJoAJ/+i/yj+yP5t/gP9kP0m/Mr8cfwS+7L7V/sA+qn6UPn2+Z/5U/ka+PP4zvid+GD4JPf99/L39vfz9+X32ffd9+v39ff29/b3+Pf7+AH4FPgz+FT4dvik+Nr5Bfkj+Ur5jfnd+jH6pvtf/Ef9Cv1r/XH9Sf0N/Lz8XvwA+6b7QPrC+j/52vmj+Yf5avlE+Sb5FvkB+OL40Pjh+Qj5Mvll+Z/5p/lA+KD4YfjS+ZH5+fnP+VT4x/gt94n2//ac9kH10PVd9QT0wfSD9FL0NfQH85Xy2fID8UzwyPB38EnwLPAU8AHv++/179Pvje847u7ut+6O7mzuRe4T7dvtte2s7bLtsO2h7ZPtje2J7YDteu2B7ZXtqu237b7tye3a7ent5u3N7anthe1r7VntTO1B7T3tQe1H7UTtL+0M7Ojsyeyn7HrsQuwI69DrnOtr60HrGOro6q/qe+pV6jHp++mx6WPpHOjW6IXoLufd55TnTucL5srmjeZQ5hDlzOWE5T7lAeTR5KXkdORB5BLj6OO544LjROMG4szimOJn4jTh/+HL4ZnhYuEe4NDgfeAm38bfYt8K3r/ec94e3cndfN083QPczdyX3GPcPNwt3CrcHtwJ2/zb8du62zPah9oQ2fvaHNot2hPZ5tm72ZDZYtk72SPZE9kE2PXY5tjV2LrYnNiM2JPYq9jL2O/ZH9lf2a/aCNpm2sXbINtv263b2twA3CjcUtx/3LTc+N1L3aPd+t5X3sTfPd+04B3gfuDl4WfiDOK/41jjv+QM5G/k+uWN5f/mTuad5wbng+gC6Hzo9elz6fPqdusD66DsS+z37ZPuGe6T7xTvpfBB8OHxf/Ib8qzzLvOt9Dr0z/VN9Zz1xvXo9gj2KPZg9uT3vfij+Tj5YflZ+W35xvp1+4n9AP6sADQBSgHXAgMCEwJBApgDAANhA7oEHQSNBP0FYAWwBfcGQQaYBvoHXAe1CAgIXQi2CQ4JYQmzCgUKWgqwCw0LcAvVDDAMfAy7DPkNQQ2SDeoORQ6iDwIPYg+/EBUQXBCSEMkRDxFeEaIR1RIIEkkSlxLvE1ITsxP5FCEUThSXFNcU1hSNFDET/RQTFIEVRxY3Fw0XshhJGOsZbhmXGWwZMRkMGNwYdBfrF4sXhxfFGAEYERgAF+4X5hfjF+sYDxhOGJAYxRjtGPkYzRhuGBsYCBgUF+4XhRcuF0EXvRhcGOgZXhnPGj8anRrTGt8a2hrnGxAbQxttG48bsRvIG8MbnRtkGy8bGhs8G5Ib8xwrHCwcFRwHHA8cKhxYHI0cthzFHMYc1x0FHUAdbR1wHTkcyxxKG+kbxhvRG+Qb5BvVG8ob1Rv+HEoctB0pHY8dzB3hHeMd8x4cHk0ecB6CHo8elx6MHm4eVR5UHmAeYh5YHlAeSB4vHf4dxx2THVwdGBzVHKUcjhyGHIMcdRxAG9obYRsGGs4ahBn0GToYrRiLGLYY1hiyGF0YFBf2F/kYAhgGGAMX+RfqF9wXzRevF30XRhcSFtkWjRY5FfAVtxV/FToU7RSgFFMUBhPAE4YTWBM6EysTHhL8ErcSZBImEgYR7xHLEZgRYxEwEPkQwBCSEHUQXBA2EAcP3w/FD7EPmA94D1QPLg8KDu0O1g69DpcOYg4nDe4Nuw2KDVgNJgz+DOgM3AzODLkMnwx1DC0L0guJC2ELOwr3CqgKegp9CpsKvwrhCvMK2wqVCj8J9wnBCZQJdwlyCXYJaglKCSQJAwjmCNEIwQisCIwIZghHCCwIDQfrB9AHvweyB6YHngeWB4YHcgdjB1kHUAdPB2YHjAecB3oHNQb0BtEGyQbOBtYG1QbDBqYGigZzBlgGOQYlBikGOwZLBlEGTwZLBkwGWAZqBnEGXQY1Bg0F+AX0BfYF+gX8BfwF+AXzBe8F6gXlBd8F3QXdBeAF5QXpBecF4AXYBdEFxwW1BaIFmAWbBakFvQXSBeIF7QX3BgIGCQYIBgMGAgYEBgUGAgX9BfIF3gXMBc0F3gXpBeAF0QXLBc8F0gXPBcsFyQXGBb4FsQWgBY4FgQV7BXIFYQVJBTIFGgUBBOgE2ATOBMEEsASfBJAEgARpBE4ENAQcBAYD8APaA8UDsQOcA4MDZQNHAy0DFgL+AuQCxwKpAogCaQJPAjcCHAIAAecBzwGyAY4BZQE8ARQA7ADJAKkAigBnAEEAHP/4/9b/s/+N/2P/N/8M/uP+vv6c/n/+ZP5G/iX+BP3k/cL9oP2B/Wn9Wv1M/Tv9JP0F/OD8uvyX/Hn8XPw+/B/7//ve+777ofuD+2L7Q/sq+xT6+vrb+rv6nfqA+mP6Sfox+hn5/Pnd+cD5p/mN+XH5V/lA+S35GvkJ+Pj45/jV+ML4rviY+IP4cfhg+E/4Pfgt+CP4G/gS+Af3/ff19+z34ffW98r3v/e597b3tve297f3vPfD98n3zffS99n34ffo9/H3/PgJ+Bf4Jfgz+D/4SvhW+GL4bvh5+IX4kfib+KT4rvi5+MT40Pje+Oz4+PkD+Q35GPki+Sv5M/k++Ur5Vflf+Wf5cvl++Yf5jvmV+Z/5qfmv+bP5u/nI+dP52/nk+fH5/voG+g76Gvop+jX6QPpM+lj6Yfpq+nb6gvqK+pD6nPqr+rj6v/rH+tL63vrq+vj7BfsP+xf7JPsz+0D7SPtT+2P7dfuG+5n7sfvJ+9779PwN/CX8OPxL/Fv8Yvxk/HP8mPzE/OL89v0U/UH9b/2S/bH91P37/iH+SP50/qH+zP71/x//Tv+B/7b/6gAeAFMAjQDKAQgBRwGFAb4B9AIrAmECgAJyAlYCfAMlBD8FbQZdBvIHOQdOB24H+QknCpYLYArWCSUHOwXtBWoFXwV7BasF7wY+BowG2AcjB18HhQeaB6UHoQeKB3EHYwdbB0AHDQbVBqYGfQZQBikGEQYGBfoF6QXbBdEFvQWSBVEFBASwBFQD9gOdA0sC+wKxAnQCSAIeAeYBlgEyAMMAWf/+/7L/bP8m/uL+ov5f/hT9xP19/Uf9HPzx/Lz8g/xO/Bv75Pug+0768/qa+kz6Ffn3+eX5yvmZ+V/5M/kt+Un5avlo+Sn4tPgu97v3b/dG9zn3R/dq94z3mfeR94j3h/eB92T3O/cg9xv3G/cR9v/27fbZ9r/2pvaU9ob2dvZq9mj2X/ZE9ij2KPZC9lP2SPY29i/2I/X19a/1e/V89bX2G/aX9wb3Svdr9433y/gV+FD4cPiC+JH4qPjT+Rj5Z/ml+cX50vnY+df5x/m4+c/6IPqM+tz69fry+vj7Efss+z/7Uvtt+5D7uvvq/Bz8R/xo/Ib8qPzM/O79Dv0o/Tz9Tv1n/Yn9qf3G/ej+Ff5A/l7+cf6F/p/+u/7T/uz/Cv8u/1b/f/+n/8z/8wAfAE4AeACbAMAA7AEdAU4BegGiAcgB6gIEAhQCHgIqAj0CVwJ5AqQC0AL0AwoDGQMsA0UDYgOFA60D2AQBBC8EaASkBNEE7AUABRoFOAVUBXAFjAWpBcIF3AX/BikGVAZ9BqQGxwbkBv8HIAdIB3AHjwekB7AHtwfAB84H2gfbB9AHxAe+B70Huge1B7AHqwelB50HlAeLB4IHfQd3B3AHZQdaB0wHOwcqBx8HFgcJBvkG7QboBuYG4gbfBt8G3QbYBtcG3gbnBu0G+AcNByQHLwcvBzAHMQcqBxwHFgceBywHMgcqBxkHAwbtBtcGwAalBowGdgZhBkcGLAYXBgYF6QW7BYgFYQVGBTAFFgTxBMUEoASKBHYERwP2A6sDmgPFA/YD7AOQAwACcQINAd0BzgHOAd0CAwI/AoACsgLLAsUCmwJZAhsB7gHJAZgBVgEMALcAUP/Z/2H+8P58/gL9j/0u/Nn8gfwn+9P7hvs0+tn6e/oi+cr5evlB+Sb5Gvj++MX4ffhD+Cf4HfgR9/739Pf8+A/4GPgU+BL4Gfgg+CT4L/hJ+Gr4jvi7+PD5Hfk++Wf5pfnr+i/6mPtR/Dv8+/1Q/Uv9I/zu/KX8Tfv5+6b7Pfq2+i75y/mV+Xf5V/kw+Q/4/Pjp+Mz4tfjC+PL5LPlZ+Wv5RfjX+GD4U/jX+Yn52/ms+T74xvg795X2+faG9in1wPVM9OP0lPRn9F30VvQU83LykfG68RvwsPBq8EHwLPAd8BHwDfAC79nvi+8x7uXuq+6C7mXuT+407hLt9O3n7ePt3e3R7cntxu3A7bHtpe2p7bzt0O3c7eTt8e4F7hHuCe3u7crtqu2S7X7ta+1c7VjtYu1x7XPtXe047Rbs++zc7Kvsa+ws6/XrxOuU62nrQOsU6t/qp+p66lPqIenb6YvpPOjy6KjoWugM58Dneec15vTmtOZ05jLl7+Wq5WjlLeT85M3kmeRk5DXkDOPj47HjduM44vviwuKN4ljiJuH44crhkuFN4QDgsOBZ3/nfmN9C3vTeot5K3fnduN2D3U7dE9zQ3I/cY9xT3FLcStw83DHcG9vQ20LaptpF2jfaS9pL2ivZ/9nR2aPZddlT2ULZONkt2SPZHNkR2PvY4NjQ2NbY7NkK2S/ZZtmz2gzaZNq32wnbYNu22//cNdxf3Inct9zj3Q3dO9103bTd/t5X3sXfQd+74CvgmOEO4ZjiOeLh43Dj0uQa5Hnk/eWI5fTmR+al5x7no+gh6JTpBul86fbqdesB65vsQOzn7YLuBu557vPvgPAe8L7xW/H08obzC/ON9Br0rPUl9XT1rPXt9jr2efai9tn3SPfr+I75BflN+YH5xvpH+yr8ff4c/7oBCwHiAkUCXQJrApsC8gNXA7gEHASQBQ0FeAXFBfsGMwZ+Bt4HRQekB/YIRwiiCQYJZgm7CggKWAquCwcLYQu8DBUMZAykDOENJA1vDbsODQ5nDsUPHQ9sD7sQBhBDEHcQthEKEWARohHOEfQSKRJ5EuwTaRPMFAkUQxSWFOUU9xTBFHAUMxQnFHAVNhZlF5gYcRjkGSEZQxk7GQsY1BitGHwYHxejFz8XIxdFF3EXfhdsF1sXYBd4F50X0xgdGG4YtBjiGO8Y1BibGF8YJBe+FwwWPhXIFfIWlRdPF+QYVxjCGTAZlBnZGfUZ/hoaGlYanRrcGxcbUht4G2wbNBrrGq4amBrBGykboRvmG+QbvhuZG38beBuWG9kcHBw9HEQcVBx6HKYczRztHPUczBx+HEEcQxx1HJ0clxxwHEgcNRxBHHAcwB0hHX4dxx34Hh4eQB5fHnEeeh6KHq0e0h7dHtAeyx7iHwQfFB8OHwUe9R7MHogeRB4SHegdrx1lHRwc6BzSHNQc1RyqHEIbxRtxG1UbOxrjGkwZrhk1GNwYhxg0GAQYBhggGCwYJBgdGCMYJxgbGAUX8RfXF6oXbhcyFvgWtRZnFhoV1xWbFV0VHBTXFI0UPxP2E7wTlBN7E2kTUhMjEtgShhJIEiUSCRHgEa4RfRFOERsQ5xDAEKgQjBBbECIP+g/oD9oPvQ+UD2wPTA8yDxsPAg7iDroOjA5bDigN9A3BDY0NUg0aDPUM6AzjDNQMtgyJDE0MBwvJC5sLbgsvCuUKpgqBCnkKkQrACuMK1AqbCmAKNQoFCcUJkgmFCZAJigloCT8JHQkBCOoI2QjHCKkIgghdCD0IGgfzB9QHwge4B7AHqweoB58Hjgd4B2MHTgdBB0IHSAc5Bw8G4gbMBs8G2QbeBt8G1ga+BqMGmAaZBo0GaQZABjAGOwZQBmEGagZrBmMGXgZiBmYGWAY4BhkGDQYQBhIGDgYHBgAF+AXwBesF6wXqBegF5gXmBeYF5gXmBeYF4gXdBdYFywW5BaQFlgWXBaQFtQXEBc0F1AXZBd8F4gXlBekF8AX1BfUF8wXxBecF0wW/BbwFxwXOBccFvQW6Bb8FwAW9BbkFtwWzBa8FqQWgBZMFhwV+BXUFZAVLBTAFFgT9BOcE2ATLBLwEqQSWBIYEdARdBEQELAQTA/gD4APLA7kDpAOMA3ADUgM2Ax4DBwLuAtICtgKZAnwCYAJGAisCDgHxAdYBvQGgAX8BXQE5ARQA7QDKAKsAjgBsAEYAIP/7/9b/sf+J/17/Mf8H/uH+v/6f/oL+Zf5H/ij+DP3x/dL9r/2N/XH9XP1O/UP9M/0a/Pj80/yw/JH8cvxT/DX8F/v4+9r7v/uk+4b7ZvtK+y77EPrt+sz6sPqV+nv6Y/pO+jf6Gvn6+dz5wfml+Yj5bflX+UX5Nvko+Rn5CPj2+OX40/i9+Kb4k/iD+HP4YfhS+En4Qvg4+Cr4HvgU+Az4A/f79/P36vfi99333Pfd99734/fr9/P3+Pf79/74AvgK+BT4IPgu+D34S/hY+GL4bfh3+IL4jfia+Kf4tPi++Mb40Pja+OL47Pj3+QX5Efkb+Sf5M/k/+Un5Ufla+WT5bvl3+X75hvmP+Zj5n/mn+bL5vfnE+cb5y/nW+eD55/nv+fz6CfoS+hf6Ifou+jr6RvpR+lv6Yvpo+nL6ffqF+ov6lfqj+q/6t/q/+sj60vrb+uj69vsC+wv7F/sk+y37NPtA+1H7Y/ty+4X7nPu0+8j73Pvz/An8Hfw4/Fn8dfyE/I/8o/zC/OL9Af0j/Ur9bf2L/av90f35/hz+Pf5k/pD+u/7k/w//Qf92/6r/3AARAEoAgQC3APMBNgFyAZ4BygIGAkUCXgJCAiACSgLtA+AEygVsBcoGFgZ3BwYH4AkeCoALVArmCTsHLQW3BSgFJAVBBWsFuQYhBn8GxQcHB08HkAe5B8IHsQeWB4MHfQdzB1IHHwbtBsIGlgZnBkMGMwYsBh4GCAX3BeoF0QWhBVwFDAS2BFsEAgOvA2UDIQLkArMCigJcAhkBvAFPANwAbwAO/73/e/9D/wz+z/6D/iz91f2K/VD9Gfzb/Jj8Wfwl+/f7xPuF+zj64vqL+kL6Evn6+er51fm5+Zz5i/mP+aT5tvmm+WT4/fiP+DL37Pe+96v3r/fC99L32ffb99333vfP96z3gfdj91X3SPcy9xr3Cfb39tv2uvae9oL2XfYz9hP1/vXr9eH17/YS9i/2OfY89j32IPXR9W71MPUw9WH1tvYn9p/29PcY9yn3VPei9/v4R/h++J/4ufjl+Tb5n/n4+ij6N/o9+jr6Hfns+db6Afpg+rP6yvq1+qX6tvrc+wP7JvtP+4P7vvv5/C78WPx6/Jr8ufzW/PP9Ff06/Vf9bf2G/ab9yP3j/fv+GP43/k/+Yv53/pL+sP7N/ur/Cv8u/1f/gf+n/8b/4wAGADAAWgB/AKEAxwDxARsBPwFcAXUBjgGmAbgBxQHVAesCCQIsAlMCegKZAq8CxQLhAwEDIQNDA24DmgPAA+QEEQRFBHMElQSzBNQE9wUaBUIFcQWhBcwF8wYZBj8GYAZ/BqEGwgbeBvYHEAcvB1IHdQeUB6gHsQe4B8UH0QfQB8UHuQeyB64HpwejB6IHoAebB5QHjgeFB3oHcAdoB2AHVgdNB0QHOAcpBx0HFgcOBwAG9AbsBuYG3wbbBt0G3gbaBtoG4gbuBvYHAQcVByoHMQcuBysHLAcoBxwHGgcmBzEHKwcVBvwG6gbcBsoGsAaSBnQGWAY5BhMF8AXaBc0FtwWLBVMFIQUABOkEzQSmBHkEVgRBBCQD5wORA08DTgOFA8IDzwOTAxUCeAHwAaQBlAGhAbEByAHyAi0CYgJ/AoACaAJAAhYB8QHPAZ8BYAEYAMwAdgAN/5X/E/6J/gD9if0s/N38iPwt+9r7k/tJ+vb6ovpT+gP5tPl8+Wz5dvlz+Uj4/Pit+HT4VPg++Cn4Gvgf+DL4Pvg++D34Q/hG+D/4P/hV+Hn4ofjN+P75LflV+Yb5x/oG+j76n/tT/DX83/0a/Q/8+vze/J38P/vl+5b7NPq0+jH5z/mV+XD5S/ki+QD47Pjd+Mf4sfi5+Of5Hvk8+TT5Afit+GL4afjb+XL5wPmj+Un42/hT96r3APZ89hv1vPVK9M/0bvRH9FX0XPQK80ryXfGY8RXwuvB08EnwOvA18C7wI/AN79zvke8+7vbuvO6O7nDuXu5N7jXuH+4W7hHuB+327ert5+3j7dvt1e3c7e3t/O4E7gzuGu4t7jfuLe4S7fHt0+287ajtle2H7YXtk+2k7aTtjO1o7UrtNO0V7N/smexV7CDr8uvE65Xraus/6w/q2Oqi6nLqQeoD6bnpauke6NXoieg55+vnpedk5yPm4Oac5lvmHOXc5ZnlWuUj5PLkweSP5F3kMeQH49jjouNk4yXi6OKw4n7iU+Iq4fvhv+F44S/g5OCS4DXf199+3yjez9553jDd993H3ZLdUt0J3MTcldyB3Hrcc9xs3GbcRtvo21Xaydp/2nTaeNpn2kLaG9n02crZo9mI2XnZb9lm2WDZX9la2UrZNNkj2SPZNNlP2XXZrdn62lPaptrt2zXbjNvy3FbcotzU3PjdFd0u3UTdXd2E3brd/95Y3svfTN/N4Ebgv+E74b3iReLS41XjveQV5HzlAeWM5f7mX+bL50jnxOgy6JvpC+mA6fXqc+sA65rsOezY7Wvt7O5e7tfvZ/AI8KrxRPHY8mTy5/Nr8/30k/UP9WH1ovX89nD21/cH9wn3EvdT99X4efkW+ZH57fpQ+vH79/1d/vMAeAGqAmUCqgKvArsC8wNQA7cEIgSYBRMFfQXFBfUGJAZnBsQHLgeQB+QINAiSCP4JZgm5CgAKTwqoCwALUAugC/UMRwyMDMkNBw1JDY4N3Q44DpUO5Q8qD3QPwxAIED8QfRDSES8RdRGXEaoRzRIhEqsTSBPCFAYUORSDFNcVBhT/FNMUlRRWFFsVARZSF84YzBkSGOEYnBhuGFwYYxhzGGkYIxeoFyUWzBasFq0WrBanFrIW2xcWF0sXfRe6GAAYNxhOGEkYNRgcF/cXqBcPFjUVbRUeFWgWDxa4FzcXjxfSGBIYVBiLGKoYwhj6GWEZ3BpKGqka/xs2GzMbABrFGpwakBqzGwgbaxudG4sbVBsfGvoa8hsjG4sb9xw2HE0cXRxvHHwcjxy5HOUc4xy6HK0c7x1eHakdqh1+HU4dKB0KHPwdCR0xHW4duB4FHkgeeR6UHpwenR6oHsUe5B7xHuwe8x8XH0UfXB9YH0kfNR8LHskegx5QHi0eCx3fHa4dgR1kHVsdUR0gHLYcNRvXG60bkhtcGwEakRoKGV0YmBf3F74X7Bg5GF0YThg5GEAYUhhOGC8YCxfrF8UXkRdVFxkW3BaZFlEWCRXHFYoVUBUWFNIUgxQ2E/cTzhOzE5wTexNEEvgSpxJqEkUSJxH+EccRkRFgETERBRDlEMwQqBBuEDEQDBAAD/EPzQ+dD3cPYg9WD0YPLA8HDt8OuQ6TDmUOMA36DcINgg08DQYM8AzrDN0MvAyRDGcMPgwTC+QLqgtiCxUK0QqcCn4KgQqeCrMKpgqJCn8KfgpYCgAJrAmNCZYJlgl7CVgJPAkhCQUI8QjjCM0IqgiACFcILAgCB+IH0wfMB8MHvAe5B7MHoweKB28HWAdLB0cHPQcYBuEGuwa8BtQG5wbuBu4G4gbHBrEGuwbgBvEG0AaPBlYGPQY+BlIGbQZ/BnoGZgZYBlUGUAY+Bi0GKQYuBiwGHQYMBgAF+AXzBe8F7wXuBewF6wXqBecF4wXiBeYF6QXlBdsFzQW9BasFoAWhBawFtwW9Bb4FvQW9Bb4FvwXDBcwF1wXgBeUF5wXoBeAFzgW5Ba4FrwW0BbUFswWxBa8FqwWqBaoFpwWeBZYFlAWWBZMFjAWEBXoFaQVNBS4FEQT6BOgE2QTJBLYEogSQBH0EaARRBDsEJAQKA+sD0AO8A6wDlgN7A10DQAMmAw8C+ALeAsECowKFAmkCTQIxAhMB9gHaAcABpgGKAW0BTwExAQ8A6gDGAKYAiABmAEIAHf/6/9f/s/+M/2P/OP8Q/uz+zP6w/pP+dP5T/jP+F/38/d/9vf2Y/Xb9Wv1I/T/9Nf0i/QT84vzC/KT8hPxl/Ej8LPwN++370vu5+6D7g/tn+0v7LPsK+uj6yvqu+pP6e/pl+k36L/oQ+fP52fm++aL5h/lx+V/5UflG+Tn5KfkY+Qj49vjh+Mv4u/iu+J/4jfh++HT4bPhf+FD4Qvg3+C34JPge+Br4FfgP+An4B/gH+Aj4CvgQ+Bn4IPgj+CP4Jvgs+Df4RPhS+GL4b/h6+IP4jPiX+KL4rvi7+Mn41Pjd+Of48/j9+QT5C/kU+R/5Kvk1+UL5T/lb+WT5bPl0+X35h/mS+Zn5nfmi+ar5svm6+cT5z/nW+dj53Pnl+e/59fn7+gX6Efoa+h/6J/oy+j36R/pR+lz6Yvpo+m/6efqB+of6jvqY+qL6q/q1+r/6xvrN+tb64/rv+vr7BvsR+xr7Ivsv+0D7T/te+3D7hvub+637wfvY++38APwb/EH8avyJ/Jz8sPzK/Ov9Df0t/Uz9aP2E/aT9yP3s/gz+Kv5P/nv+p/7R/v7/M/9p/5r/ygABAD0AcwCjANoBHAFVAX0BrAHxAjACNwIGAeICEgKlA2UEBgRgBJAE5wWmBr8H9QkZCg4Kggn/CHcGlQU/BM4E4QUEBSkFeAXvBl8GrAbtBzsHjAfDB9MHxgexB6QHnAeJB2MHNgcPBu4GxQaYBnQGXwZPBjwGKQYcBg4F7gW1BWYFCwSuBFID/QOzA3MDPQMOAuYCuwKEAjYB0wFlAPUAiAAi/8z/iv9X/yb+6P6Y/j395P2a/Vv9HPzU/Ir8S/wY++n7s/t1+y763fqJ+kP6FPn5+eP50/nQ+dr55fnq+eX51Pmr+Wr5Ifjh+Kn4c/hD+Cj4Ifgi+CL4Jfgv+Db4KfgC98v3mvd/93X3a/dX9z/3K/cW9vT2yvak9oH2U/Yb9eb1w/Wx9a/1w/Xk9gH2FfYq9jj2G/XF9V31J/Uz9WX1p/X+9mj2wPbp9vH2//cs93L3w/gP+E74g/jG+Sz5q/oY+lf6c/qM+qb6qPqA+k/6Sfp7+rv61vrF+rD6uPre+w77Pvty+6z75/wc/Ef8a/yN/K78zPzl/QD9Jf1T/Xz9l/2s/cf95/4D/hj+Kv49/k/+Yf53/pT+tP7V/vb/F/83/1j/ev+b/7b/zP/kAAYALABRAG8AjACsAMwA6AD7AQsBHQE0AUgBWQFtAYkBqwHNAe8CEAIuAkoCawKUAr4C4wMIAzYDZwOOA6oDyAPuBBUENwRdBIkEuQToBRwFVgWRBcYF9QYfBj8GVQZpBoMGogbBBt4G+wcaBz0HZgeQB60Htwe6B8EHyAfCB7MHqQelB6EHmAeTB5IHjweJB4QHggd9B3IHZwdfB1gHTgdHB0IHOgctByAHGAcRBwYG+gbxBugG4AbcBt4G4gbhBuIG6gbzBvoHAgcSByIHJwclByUHKAclBxsHHQcqBzIHJAcFBuoG2wbOBrgGlQZtBkcGJAX/BdcFtQWgBZEFeQVPBRoE6ATDBKcEhgRdBDIEEwP+A9sDmANDAwgDBwMzA2oDiwN7AycClwH+AZsBhAGWAaMBpAGwAdUCAAIcAiYCJQIbAgYB6gHFAZUBVwEWANcAjgAs/63/Hv6K/fv9f/0g/NP8g/wp+9T7jvtM+wb6v/p9+jr59vnF+br5zvne+cn5hvko+NH4lvh0+Fr4Q/g/+E/4Y/hu+HD4b/hm+FP4Tfhj+I34tvje+Qv5Oflk+ZT5z/oF+jj6m/tV/Cv8r/y//Kj8sPy9/I/8KPvE+3j7Jfqz+jn52PmX+Wf5PvkW+PX43/jW+M34xfjM+O75F/kr+SX5CfjY+KD4kvjZ+Vv5vPm8+Wj47vhi98P3HfaP9iL1wvVS9M/0XfQq9Df0PvPq8yryS/Gb8Snw1PCM8F/wU/BR8EnwNvAV7+Lvnu9V7xLu1e6i7n/ua+5Z7kTuOO437jXuI+4I7fTt7u3v7fHt+O4I7hnuJO4p7jDuPu5P7ljuUu4/7iLuBe3s7dbtwu227bjtyO3W7dLtt+2U7XbtXO037P7su+x/7FDsJ+v768nrmOtr6z/rDOrU6p3qaOov6e/pqulj6RfoxOhs6Bvn1eeW51bnEubP5pLmV+YY5dPlj+VU5STk9eTC5InkU+Qk4/jjx+OO40/jEeLa4qzihuJf4izh6+Gm4WThIODS4HjgGd+6313fA9603nHeN93/3cTdhd1D3Qfc3dzC3K7cntya3Jfcbdv/22na79q52rHaptqG2mHaQtol2gbZ6NnR2cHZtNmt2a7ZsNmt2aLZj9l82XXZfdmU2bfZ6Noq2nnaxdsI203bqtwl3KjdDd1D3VPdUd1M3U3dXd2E3b7eB95k3tvfYt/o4Gbg4OFa4c3iO+Kv4ynjnOQH5HzlBuWV5hHmf+bv52Lnyegm6IzpAel66e3qaOr365fsN+zP7Vvt1+5K7sfvXPAA8KDxM/G88kDywfNL8+b0hPUD9Vj1ofYM9p33JPdm91X3H/cM91L38vjC+Yb6Fvp4+t/7ivyd/g7/pgEeAjACwALpAvEDFANjA80EPQSsBRQFbAWvBeMGGQZgBrwHJQeIB90ILAiKCPYJWwmpCewKOAqQCuULLwt5C8wMIgxtDKoM5A0hDWQNtQ4TDnMOxg8OD1oPqQ/xEC4QbhC7EQoRQxFhEXcRoxICEpYTOhO1E/UUHhRdFK8U8hUWFRcU5xSJFFYU0BYcF6oYrBjGGEgXwReOF7YYExhqGIQYSBfKFzcWvxZzFksWNRYzFlkWqBb/FzsXXReBF6oXwxe/F7AXpxefF3sXIxaVFfgVjxWNFegWZBbOFxgXRRdcF2wXhBeeF6MXoBfHGDcY1BluGfoafhrjGwQa5Rq2Gp0aoBq/GvkbMxtCGxoa3BqwGqIawhsnG8ccbRziHSUdSx1UHT8dLx1EHWMdVB0iHSAdgR4NHmMeZR5DHigeDB3iHbMdlB2RHakd3B4hHmAehx6aHqcetR7DHtIe4B7mHuge8x8UHzsfUR9PH0IfNB8bHvAeuR6IHmQeTB47HigeDR3wHdsdyR2fHUsc3hx8HC0b4huTG00bDxqvGgAZEhg8F9sX/RhbGJcYkRhvGGMYchh2GFgYJRf5F9kXsxd9FzwW/RbBFoMWQRX8FbsVghVNFRAUxxR4FDYUCBPnE8cTnhNnEyIS2hKgEnsSXBIuEesRpBFpET4RHBEBEOQQuxCDEE4QLxAgEAYP2A+oD4kPew9xD2APSA8qDwgO5w7HDp4OaQ4vDfMNsA1nDScNBAz0DOEMwAycDIAMagxTDDAL9gumC08LAgrGCp4KiwqICn4KZgpZCnAKjgp3Ch8JwwmfCacJqwmYCX8JaglOCSkJDQj/CO0IzAigCHIIQQgRB+8H4AfaB9IHygfFB74HrgeUB3gHYwdeB2QHYQc9BwYG3QbYBugG8wb4BvwG9gbcBsYG2QcSBzwHKwbkBpIGUwYzBjcGWAZ7BoMGcAZdBloGXAZWBkkGRAZEBjoGJAYPBgQGAwYGBgcGAwX8BfYF9AX0Be8F5gXjBegF7wXtBeIF1gXJBb4FtgW0BbcFuAW2BbEFrQWpBacFqQWvBbcFwQXMBdQF2AXXBdEFxAWzBaQFnQWhBaoFrwWpBZsFkAWRBZYFkgWCBXQFcwV8BYMFhAWABXcFZgVLBSsFDgT6BOoE2QTGBLIEnwSNBHkEYQRJBDQEHgQCA+ADwwOvA50DhwNqA00DMgMZAwEC6gLRArUClAJzAlMCNAIVAfcB3AHEAa0BkwF3AVsBPwEkAQYA4wC/AJ0AfABaADgAF//4/9n/uf+W/2//SP8h/v3+3/7D/qj+iP5l/kH+IP4D/eX9xf2h/Xr9V/0+/TL9K/0d/QP85fzI/Kz8jPxt/FL8N/wY+/b72PvA+6r7kvt6+2H7R/sp+wn66PrI+qr6kPp4+l76P/oh+gb57vnW+b75pfmN+Xj5aPle+VT5R/k4+Sj5GPkF+PL45Pja+M74vfit+KH4l/iJ+Hn4a/hf+FP4R/hB+ED4P/g7+Db4M/gy+DL4Mvg1+Dz4Q/hH+Ef4SfhQ+Fr4Zvhz+IL4j/iZ+KL4rPi4+MX40fje+Or48/j8+Qf5FPkf+Sf5Lvk2+T35RflR+V/5bfl3+X75hvmM+ZP5nvmr+bT5tvm4+b/5yfnQ+df54Pnn+er57vn2+gD6BfoJ+hD6Gvoi+ij6MPo6+kP6SfpR+lv6ZPpp+m/6dvp++oP6ifqQ+pf6n/qq+rX6vvrD+sn60/rd+uj68vr9+wf7Efsf+y77PPtL+137cvuE+5P7pvu9+9T76fwB/CL8Svxu/Ir8o/y9/Nz8+/0X/TD9S/1p/Yr9rP3N/e7+Ef44/mX+kf67/un/Hv9V/4b/tf/sACkAXQCHALkA9gEuAVsBkwHcAgsB8wGsAYUBtAIrArgDLgN4A7IEMAU/Br0IIwkGCWEJTAiiB0kFrgSMBD0EdAS2BOsFPgW6BjMGiwbUByQHdwe1B9UH3AfYB80HugecB3YHVgdCBzAHFAbsBsQGnwZ/BmUGVQZLBjkGEQXPBXUFDgSmBEkD+gO1A3wDUQMuAwoC2gKaAkcB5wF+AREApQA9/+H/lv9a/yP+5P6Z/kX98f2l/WL9I/zg/J/8Zfww+/j7uvt8+z369fqk+lr6JfoA+eX53vn2+iL6Qfo8+hT51vmL+UL5EvkB+Pj43/i8+KD4kviG+Hj4c/h2+Gz4QPf496/3f/dv93X3evdw91n3P/ch9vj2yPae9n72WfYo9fL1yPWy9a/1vPXQ9dv14vXy9gf1+vW59Wf1QvVb9ZD1yPYL9mX2vfbz9wT3BvcQ9y73Y/ew+AT4Wfi3+S/5tfol+mn6kvrD+wX7Ovs++xb67frs+w/7MPs2+y37LvtF+2n7kfu6++T8Dfw0/Fb8c/yN/Kj8xfzg/P39I/1S/X39m/2v/cT94f3+/hb+KP42/kX+WP5x/o/+r/7O/uz/B/8d/zL/TP9q/4f/oP+4/9T/9wAcADwAVwByAI4ApgC3AMMA0wDrAQMBGAEwAVABcgGRAa4BzQHrAgoCLwJdAosCsgLZAwkDPwNsA4sDqAPKA+sEDQQ1BGcEnATOBP8FMgVkBZQFxAXxBhQGLAZCBmAGhAapBswG7AcIByYHTAd6B50HrQe0B70Hwge3B6MHlgeVB5QHjQeHB4UHfwd2B3EHcwdxB2kHYQddB1gHTgdGB0IHPAcvByEHGAcQBwUG+AbvBukG4gbdBt4G4wblBugG7wb3BvsHAAcLBxcHHAceByIHJwckBx4HHwcrBzEHHwcABuQG0ga8BpYGZQY1Bg0F6QXEBZ8FgAVnBU8FMAUIBN0EswSOBG0ESgQiA/wD3wPHA54DWAMHAswCuwLPAvUDIAM7AyECwQI7AdIBrAGtAaYBigFzAXgBkAGoAb8B2gHvAfEB3AG0AX8BQwEKANYAlQAv/6T/Df58/fP9d/0S/MH8dfwg+877jPtV+xz63/ql+m76OvoT+gj6F/os+if59fmW+Sz42fio+If4avhc+Gv4iPia+Jv4kviC+G/4bPiG+K740vjz+R35Svlx+Zb5wvns+h76jftR/Br8c/xT/DD8W/yY/H78CfuT+0f7BPqj+jX52vmU+Vv5KvkA+Nz4wvi5+L74xfjO+OP4/vkR+Rz5IPkN+Nb4qPjK+UP5uPnJ+Wz44/hi9+X3WPbD9j71y/VX9NP0VvQN9AT0AfO28xLyUPGx8UDw6fCk8HvwbPBk8FXwO/AW7+Lvo+9g7x7u3e6n7obudO5i7lPuUe5a7lfuPe4b7gfuBO4G7gvuF+4q7jruQe5H7lHuYO5v7nnue+5w7lnuO+4e7gXt8u3n7ezt/O4G7fzt4u3E7artie1Z7R3s4+yw7ITsW+ww7ADrzuud62/rQusO6tXqmupg6ijp7+mw6WTpCuis6FjoEefQ543nS+cN5tPmluZU5g/lzeWS5V/lLOTx5LDkcuRB5Bjj7eO644HjR+MS4ubiv+KV4l7iHeHe4aXhZ+EZ4LzgWt/535rfRd783rredN4r3endr9173U7dLN0N3Ovcz9zJ3MXckdwU237bFtr12u/a2dqw2ozaddpf2kjaMdoc2gjZ+tn52gHaBtoB2fTZ4tnN2b/ZwdnW2fTaGtpN2o/a1tsZ22DbwtxM3OLdVt2H3YDdYd1I3UTdW92O3dPeI96C3vrfguAI4IHg9eFo4dPiNOKZ4wzjh+QA5IDlEOWk5ifmmOcB52Xnu+gO6HTo8Olr6drqUerk64zsM+zL7VTtzu5D7sTvXO//8JXxGPGP8gbyh/Mc88b0bfTu9UT1lPYO9rH3TPeg95j3Vvcd9yv3nvho+VX6Ifqo+wH7bvwv/Vr+zwBTAaAChAL4AyQDRQOFA+cEVQS4BQoFTQWKBcgGDAZbBrsHJQeHB9sIKQiBCOQJPwmICcoKFQpmCrQK+wtHC50L9QxDDIUMwAz+DUQNlw3zDlEOqg7+D04PmA/cEB4QYxCmENkQ/REgEVIRoBIQEpwTKROSE88T/hQ9FIgUyxT/FRoU+xScFFgUuBXlF1YYQhhKF7cXIBb0F0oX6hh5GKoYcBf4F3wXHBbXFpoWYBY9FlAWmxb1FzEXShdZF2kXbxdtF3UXhxeGF1MW9haXFl0WYxahFvMXLxdKF1MXVxdVF1YXZxd1F1cXDxbjFxEXixgiGMkZjRpJGrkaxhqlGpYaqhrUGv8bFxsGGtIaoRqTGrAbABuVHGYdQx33HnUevB6+Hn8eOh4dHhEd2h2FHWodtx4sHmgeXh5KHk0eUx5FHi0eHx4YHhceJR5GHmcedh56HooeqB7AHsoezB7THt8e7x8EHx0fLh80HzMfMx8xHyMfCB7kHr8enx6IHnUeWx45Hh0eDB31HcQdfh0vHNAcWBvSG2UbHhrSGkoZgRi0GDYYLRh6GM0Y5hjFGJwYkBiVGIMYURgaF/YX2BepF2UXHhbiFqwWchYxFfAVtRV+FUUVAhS5FHgUSRQkE/4T0BOcE2UTKhL0EsoSoxJpEhURvRF9EVgRQBElEQMQ2RCrEIQQaRBQECgP9A/KD7MPog+KD20PVQ9BDycPCQ7qDsYOlQ5XDhQNzw2LDU8NJQ0HDOwMzAyuDJIMfAxrDFkMMQvpC4sLNAryCsUKpwqPCnAKSQoxCkAKXgpWChoJ2gnECc8J0wnECbEJnwl/CVIJLAkVCP8I3Qi0CIkIWAgjB/oH5gfgB9sH1AfNB8YHtwefB4IHaAdbB18HZAdWBzcHGgcNBwgHAwcDBwoHCAbuBtEG2QcJBzcHOAcLBsgGgwZLBjUGRgZpBnsGcgZlBmYGbgZrBl4GUgZMBkIGMQYfBhkGIAYqBi4GJwYYBg0GCwYMBgQF9AXoBegF7QXuBekF4gXdBdYFzQXEBboFsQWpBaUFoQWdBZoFnAWhBacFrgW3BcAFwwW/BbsFuAWyBaQFmAWZBaQFqgWeBYYFdQV0BXkFcwVhBVAFTQVWBWIFaQVrBWYFWAVABSUFDAT6BOoE2ATEBLEEnwSNBHcEXQREBC4EFwP6A9kDuwOkA44DdgNbAz8DJAMKAvEC2wLGAqwCiwJmAkICHwH/AeIByAGxAZoBgQFlAUkBLwEXAPwA3QC6AJcAdgBWADYAF//6/9z/vv+d/3r/VP8v/wv+6v7O/rP+lP5v/kr+Jv4H/en9y/2o/YH9WP04/Sb9HP0O/Pj83vzD/Kj8ivxt/FT8PPwf+/773vvE+7D7m/uG+3H7XPtF+yj7B/rj+sL6pvqN+nL6VPo2+hz6Bfnw+dv5xfmt+ZT5gPl0+W35Y/lV+Uf5N/km+Rb5C/kC+Pf46PjZ+M34wfiz+KT4mPiM+H74cPho+Gf4Z/hk+F/4W/ha+Fv4W/hc+GH4Zvhq+Gv4b/h2+H/4iPiT+KD4rfi4+ML4zvjb+Of48vj++Qj5Efka+SX5Mvk++Uf5UflZ+V75Yvlt+Xz5ifmR+Zf5nvmk+an5svnA+cv5zvnQ+df54vno+ez58vn6+f/6A/oK+hL6GPob+iD6J/ot+jH6OfpE+kz6UfpW+l36Zvpr+nD6dPp6+oH6h/qN+pH6l/qf+qr6s/q5+r/6x/rP+tj64frr+vX7APsO+xz7Kfs5+0z7Yfty+4D7kPuk+7z70/vs/Af8JfxG/Gb8g/yf/Lv81/zx/Qn9Jf1G/Wj9iP2p/dD9+/4m/lH+ff6o/tT/Bv88/27/nf/RAAsAPQBoAJoA1wEQAUABeQG4Ac0BlQE7ARMBOgGPAfACXQLQA0kD+gUqBrsIEwivCJ8IOAeDBlgE5wPTA4wD4QRXBLYFFgWJBf4GYQa5BxAHYAehB9EH8ggBB/sH4Qe7B5gHhQeCB38HbgdOByMG8wbFBqUGkgaABmMGNQXzBZcFKAS4BFoEDQPIA4sDYANDAyEC7QKoAlkCAQGfATUAyABd//j/n/9T/xH+0f6P/kb99v2n/WT9Lfz9/Mv8l/xb/Bf70fuT+1v7HPrQ+oP6R/od+gb6D/o++nz6mfp8+jD5yvlf+Qb43Pjn+Qb5EfkF+PX46PjY+ML4sfif+HX4JPfC93P3TfdM92H3c/dw91f3NPcP9uT2s/aJ9m/2XfZB9hn18/Xa9dL11PXU9cT1rfWk9bH1t/Wa9Wr1VfVu9aH12PYa9nH20Pcc90j3WfdZ91v3dfez+Av4bvjb+Vb50/o3+nf6p/rk+zv7lvvM+8r7pPuI+5H7svvL+877x/vJ+9n77vwB/BP8K/xP/HX8jvyX/J78tPzZ/QP9KP1L/W39jP2l/bn9zf3k/fz+Ev4k/jb+TP5p/ov+qv7E/tn+6v72/wP/Gf83/1n/eP+U/6//zv/wABEALgBHAGEAegCNAJwAsADLAOkBBQEiAUMBYwF/AZwBvAHcAfoCHAJGAnMCmQK+AuwDIANPA3UDmgPCA+kEDgQ5BGwEnwTMBPQFGgU9BWMFjwW/BegGCQYpBk8GeAaeBsIG4Ab2BwkHKAdVB34HlQekB7MHugetB5QHhAeCB4MHfwd8B3sHdQdtB2kHawdpB2AHWQdZB1YHSwdBBzwHNgcqBx0HFQcOBwIG9QbuBuoG5gbhBuAG4gbkBucG7wb3Bv0HAwcNBxcHHgcjBysHMAcpByIHHQcjByIHDwbvBtIGtwaSBl4GJwX5BdcFuAWUBW4FSwUqBQYE4gS/BJ8EfQRaBDcEFgP0A9IDtAOXA20DLQLgAp4CdwJqAnkCogLYAvUC1wKFAisB8gHTAbABewFJAS8BLwFAAWMBmAHKAd4BywGdAWQBKgD4AMwAjgAi/47+9f5u/fP9e/0Q/Lz8c/wn+977pvt8+0/7GPrg+q/6hvpm+lb6Vfpd+lv6OPnn+Xv5HPjg+Ln4mfiJ+JX4r/i++Lr4r/ii+Jj4nvi4+Nj47/kI+TL5YfmB+Zn5t/na+gz6fvtA+/n8MPvy+9H8IvyI/Hb76ftX+wb6z/p++h75zPmJ+Uj5DPjb+LD4jfh++IT4kPiY+KP4tfjK+OL4+Pj1+Mj4mPix+SH5kPmX+TH4sfhU+Ar3n/cJ9mj12PVS9Mf0QvPn88TztPN78v/yX/HI8U7w8vC08JHwfvBq8FDwMvAJ79Pvle9W7xbu1+6o7pDuhe547m/udu6C7nvuXO4+7jbuPO4/7kDuRe5Q7ljuW+5i7nLuhu6U7p3uoO6Z7oTuZ+5N7jjuJ+4f7iTuMe437ivuF+4L7gTt7O247XntPu0I7M7skuxg7DfsDOvZ66XrdetF6w7qz+qR6lzqK+nz6ajpTujy6KHoWOgQ58jniOdP5xTm0OaI5kbmCuXR5ZflWuUY5Nbkm+Rs5EXkHOPu473jiuNW4yPi9eLH4pDiVuIh4e/hseFe4P7gnOA83+Hfj99I3v7eqd5W3hLd392z3Y7dcd1R3SndCN0B3Prcudww25zbR9s22zHbE9rn2sfas9qf2onaddpg2knaO9o/2kzaT9pD2jDaHNoJ2f3aA9oa2jbaUdp02qja6tsu23bb2dxi3PrdbN2V3YDdWd1E3U7deN263gfeV96y3yXfqeAr4J3hCuF44eHiP+Kc4wjjgeQC5IzlJuW/5kPmrucN52bntOgD6GXo3OlT6b7qNOrI63TsIOy77Ujtxe497r7vVO/w8Hrw6fFM8bfyOfLa85H0P/TC9Rv1ePYB9rD3Ufev9733l/do91v3k/gj+P757vq1+zv7ovwp/Pz+I/+CAOYCEALUAzQDXwOQA+IERgSjBOsFJwVkBaYF7gZABqQHEwd7B9EIIAh0CMoJGAldCaMJ7wo9CoUKzQscC3ILxQwRDFYMmAzeDSoNfQ3SDigOgg7fDzIPdQ+yD/kQRxCEEKEQtBDdES0RmhIWEpYTChNjE6UT5BQqFGoUmxTCFNcUuRRoFDMUjhWRFs8XpRfFF1oW1hapFwYXyhiDGM0YlxgoF8wXnBd5Fz0W3xaBFlgWehbFFwUXIxctFy8XMxdJF3wXrxeuF20XGBbqFvkXNheCF7oXxRelF3gXVhdKF1wXjBewF4cXBhZ8Fj8WWxazF04YRRlmGkIamRqZGpkavxr3GyAbKRsSGvQa7hsRG1YbvRxcHTYeJx7+H58f7x/XH2Ye5R6WHmYeFx2tHXYdmx3iHf4d7R3nHgIeIx41HkgeYh5uHmEeUh5XHmUeYx5XHlseeB6WHqEeoh6sHsEe2B7qHvwfDx8hHzIfQh9QH1YfUx9EHyUe/R7WHrIejx5pHkkeMx4dHfsdzR2aHU0c0BwoG4Ia/hqSGh4Zkxj+GIUYUhh5GNYZHhkaGOQYvBi3GLIYjBhSGCQYAxfYF5cXTxcQFtkWohZpFi4V8hW3FXoVORT2FLoUkBRuFEYUFRPkE7cTiRNUEx4S4xKWEjgR4BGpEZIRfxFeETERBBDcELwQoRCAEFAQHw/9D+wP1A+qD30PYQ9QDzkPGg77DtwOsQ5wDiMN2Q2bDWsNRA0gDP4M3wzCDJ8MewxiDFkMRQwMC7QLXgseCvIK0Qq3CpsKcApBCigKKAolCg8J+An1Cf4J+gnnCdYJxQmlCXYJSgkoCQgI4gi9CJoIbgg5CAoH8gfrB+cH3gfTB8oHvQerB48HagdGBzEHMgc8B0MHQgc5ByoHHQcaBx8HFwb3BtQGygbgBv0HCwcGBu0GvQaABlEGRwZaBmoGagZkBmkGcgZwBmAGUAZIBkUGQgY8BjwGRwZWBlsGUQZABjYGNAYyBiQGDAX3Be0F7QXwBfEF8AXsBeUF3AXOBboFpwWbBZoFmwWYBZMFkgWTBZMFlAWcBacFqQWmBakFtAW5Ba4FmwWTBZoFngWSBXsFaQVhBVwFUgVCBTMFLQUxBTsFRwVNBUwFQAUuBRkFBgT1BOQE0wTCBLEEoASLBHQEWwRDBCsEEQPzA9QDtwObA4EDZgNMAzEDFQL5AuICzgK8AqQChAJfAjkCFQH0AdYBvAGiAYgBbQFTAToBIwENAPUA2QC4AJYAdgBaAD0AHv/+/97/vv+c/3r/V/8y/w7+7P7P/rP+lP5w/kv+KP4K/e/90/2y/Y39Y/0+/SP9Ef0B/O381Py6/KD8hPxq/FX8Qfwo/Ar76vvP+7v7qPuV+4L7cPtd+0T7I/r++tv6v/qo+pD6dPpW+jn6IPoK+fj55fnP+bf5oPmS+Yn5gPl0+WX5VvlH+Tn5Lfkj+Rj5C/j++PP45/ja+M34wfi1+Kj4mviS+I/4j/iM+Ib4gPh/+IH4g/iF+Ij4jPiP+JL4l/if+Kf4rvi2+MD4zfjZ+OX48vj/+Qn5Evkb+SX5Lvk3+UL5TvlZ+WT5cfl7+X75f/mI+Zb5ofmm+a35uPnA+cP5yfnV+eL55/nq+fH5+vn/+gH6BvoO+hX6Gfoe+iX6Kfor+i/6NPo3+jn6P/pJ+lP6V/pb+mH6aPpu+nH6dPp3+n36hfqL+o/6kvqX+p36pfqr+rP6uvrB+sr60/rc+uX68fr/+wz7GPso+zz7UPth+3D7gPuQ+6T7vPvW++78Bvwj/ET8Yvx9/Jn8uPzT/On9BP0n/Ur9af2L/bf95v4R/jz+av6Y/sL+7/8i/1X/hP+z/+gAHABMAIQAxgEAASoBVQF+AXsBMQDTALAA2QEeAWwB4wKNA0sEHwU6BpAHpQgLB9sHdAbhBd8EggNlAxADcwQPBI8E8QVRBbkGJAaPBvMHRgeLB8kIAQglCCsIFAfuB80HwAfEB8cHvAegB3gHSAcaBvUG2Aa1BogGWAYeBcoFWwTqBIwEPgPuA6QDcANSAzEC/AK4AnACIgHHAV4A7wB+ABD/qf9Q/wL+v/5+/jj96v2f/WX9Qf0m/QD8y/yK/ED7+Pu5+4L7SPsE+r76hfpg+lX6b/qp+t763/qe+jH5s/k2+M/4nPip+Nb4+fkC+QH4/fjz+OH4y/ip+GX3/veU90v3MPc39073YPdc9z73Fvby9sz2nvZw9lb2TvZG9jL2GPYE9fn18/Xi9b31jPVp9WT1cPVv9V31UvVi9Yz1x/YT9nL23Pc+94n3s/e997v3yvf8+Er4qPkU+Yn59vpI+n/6r/rt+0L7pvv//C78LPwU/A38Ifw2/Db8I/wX/B78MfxA/Ez8ZfyS/MH80/zC/Kz8uvzy/TH9Wf1p/Xn9lf22/cr9z/3R/d799v4Q/in+Rf5n/oz+rP7D/tH+2v7g/ur+/v8c/z3/X/9+/5j/sP/L/+cAAwAbADIASgBhAHgAkwC0ANgA+wEcAT0BWwF3AZgBvQHiAgICIgJIAnIClwK4At4DCQMzA1sDhgO3A+YEEwRABHIEowTOBPYFGgU8BV4FhwW2BeAGAwYmBk0GcwaUBrQG0AbkBvQHEQc+B2oHhQeUB6QHrAegB4YHdAdwB3AHbwdvB3MHcgdtB2oHaQdjB1YHTAdKB0cHPQc0By8HKgcfBxQHDwcLBwEG9wbyBvEG7wbrBugG5gbkBuQG6wb1Bv8HCwcZByUHLAczBzoHPAcxBx4HEAcJBv0G5AbDBqIGgAZUBiAF7gXJBa8FkQVpBTwFEgTrBMUEoASABGUERgQkBAMD5gPJA6oDiwNvA0wDGwLYApACTgIgAhECKQJhAqACvwKqAm4CKgHxAbgBdwE4AQwA/AEGAS4BbwGsAcUBsAF9AUIBDADeALYAewAR/4H+8v56/g39m/0v/Nv8mPxU/BL74/vE+6D7avsu+vr60vq0+pz6iPp5+mz6UvoY+cD5afkr+QT45PjP+ND42/je+Nb4zPjG+MT4zfjj+Pj5BPkY+UP5c/mO+Z75uPna+gj6bPsa+7/75/ui+4v79Pxv/F37vPsX+sP6lfpQ+fv5tfl5+TT47viz+IL4Vvg9+Dr4P/g/+EP4Vvhz+I74ovik+I74f/in+QL5Rvku+Mv4a/g8+Bn3yPc89pH16PVG9Kr0HfO584nzdfNP8vjydfHh8Vvw+fC+8J/whfBn8EbwI+/177vvgO9K7xTu3+667qzup+6b7pPumO6h7pTude5i7mnueu6A7n3ufe5/7nvud+6A7pXuq+637rzuuu6w7pvuhO517m3uY+5b7lzuZe5o7l7uWu5u7ozuj+5n7ift5e2c7UHs4OyW7G3sTOwe6+Trqut16z3q/uq+6ojqWOoi6drphuk06OnonuhN6ADnxOeP51DnA+a35nrmReYK5cjlhOVD5Qnk1+St5IPkV+Qq4//j0OOW41njIuLx4r/ijuJh4jLh8eGc4T3g4OCD4Cnf19+K3zfe3d6M3lHeIt303czdsd2U3W7dT91I3Tvc7NxY28jbgtt923nbVdsp2w7a/Nrl2s3au9qp2pLagNqB2ovaiNp12lzaSdo/2kLaVtpz2oraltqm2szbB9tL25bb99x43QTdbN2N3XjdW91Z3Xvdtt3+3krelt7p31Tf0+BT4MThLuGa4gHiW+Kv4xLjh+QM5KHlReXl5mjmzOch53PnvegF6Frowukx6Z7qGOqs61Lr9uyR7SPtqu4m7qTvMu/G8Ejwr/EK8XHx9vKc81X0A/SI9Oz1WvXy9qj3R/em98f3y/fI98X30fgO+J75fvp1+0P71PxE/M/9pv7VADgBigKFAxEDUQOCA8gEIAR3BMIFBwVLBYoFxgYPBnMG6gdcB7sIEwhqCLoI+wk4CYAJ0wojCmwKtgsFC1ELlwvaDB8MZgywDQENVg2nDfcOUA6yDwoPSQ+DD84QJRBlEH4QihC0EQkRehHzEmoS1hMxE30TxBQGFDgUVBRgFFYUJhPdE8MUIxT+FgMWzhckFwcWqxZyFroXhhhlGNIYqRg6F+cXzhfIF5gXKRahFkcWRxaLFtcXBBcOFwYXCBcvF3oXtxewF3EXOhc7F2MXkhe9F94X3herF1gXExb6FxoXZRemF5MXFxZvFe0VrBWuFhkXGhh+GbkaZBqVGqka0hsFGyUbLxs3G1gboRwFHGoczh1PHgge5B+2IFAgjCBSH78fJB7DHosePx3WHY4dix2qHbcdtB3GHe8eEh4nHkEeZB50HmEeRh5EHlIeUB43HiUeLh5FHlMeVx5jHn0emx63Hs8e6x8LHy0fTR9kH3IfeR92H2UfRB8cHvse3R69Hpsedx5MHhcd5B27HYYdHxx+G78bBhpkGdoZbBkRGLcYaxhdGKIZBBkzGRkY7RjfGN4YxhiTGGAYNxgLF9MXlRdXFxkW3RalFnEWOBX4FbYVdBUyFPoU0xS1FI4UWBQjE/oT1BOhE14TDRKxElUSDxHvEeUR0RGjEWcRMBEFEOIQwxChEHgQTxAzECAQAQ/PD5wPeg9lD0wPLA8NDvEOyA6GDjIN4g2nDYANYQ0+DRkM+AzaDLIMgwxhDFQMRAwUC8oLgwtOCyULBArzCuoKzAqNCkoKJAobCh0KHwojCiAKDwn2CeQJ1gm8CZIJZwlACRYI6QjBCKEIewhLCB4IBgf9B/MH4wfSB8MHtwepB5QHbQc6Bw8HBQceB0IHVQdQBz8HOAc8BzsHJQb+BtwGzAbMBtMG4wb6BwMG5waqBm4GUgZWBmEGZQZkBmgGcAZvBmEGTQZCBkQGTAZSBlkGaAZ5BoEGegZuBmkGZwZfBksGLwYWBgUF/QX+BgEF/wX1BegF3gXSBbwFogWRBY8FkwWUBZEFjwWLBYIFewV+BYgFjgWPBZkFrQW5Ba4FlQWFBYQFhwWDBXgFagVaBUcFNQUpBSAFFwUTBRkFJgUyBTMFKAUWBQUE9gToBNgEyQS8BK4EnASFBG8EWwRGBCwEDgPvA9IDtAOWA3kDXgNDAyUDBwLtAtoCyQK1ApwCfgJcAjgCEwHxAdIBtgGYAXkBXQFEAS4BGgEGAO4A0gCwAI8AcQBXAD0AHv/9/9r/t/+V/3P/Uf8u/wr+6P7K/q7+j/5s/kj+KP4N/fX92/2//Z/9ev1U/TH9Ff0A/Ov80vy1/Jr8gvxt/Fv8Sfwz/Bf7+fve+8n7tfuh+477ffts+1b7OPsW+vX62/rH+rL6mPp7+lz6Qfop+hb6Bfnz+d75yfm4+a35o/mW+Yf5d/lo+Vr5TflA+TP5Jvka+RD5B/j8+O/44vjW+Mv4wvi7+Lf4tvi0+K74p/ij+KX4qfis+K74svi1+Lr4wPjJ+ND41vjb+OP47vj6+Qf5FPkh+Sr5Mfk5+UP5S/lU+V75aflz+X/5jfmY+Zv5nPmj+a/5t/m8+cb51Pnf+eL55fnv+fz6A/oH+g36E/oV+hb6G/oi+in6Lfow+jT6N/o4+jz6QPpB+kH6Q/pL+lP6Wfpd+mP6avpw+nT6dfp3+nv6gPqF+on6jfqQ+pT6mPqe+qX6rPqz+rz6xfrP+tn65frz+v/7C/sb+y37PftN+177cPuA+4/7pPu++9X77PwI/Cn8R/xg/H38n/y9/NL86v0N/TH9T/1x/Z39zP32/iH+Vf6I/rL+2f8J/z3/a/+X/8sAAgA4AHMAtgDsAQoBHgEyASMA2ACBAHEAtwEeAYgCFgLeA74EmAWABncHLwdjBzMG6gaABagEbwNnAxYDcQQCBHMEwgUMBWcF1gZOBr4HGQdmB7IH/Qg3CFAIRwgmCAUH9wf6B/wH8QfYB7cHkAdnBz8HFQbgBqcGdwZIBf8FlQUnBMwEfAQiA8oDiwNpA0gDFALUApMCTAHzAYgBFQCdACb/tv9S/vv+rP5h/hf9zf2P/W39ZP1a/Tj8/vy+/IH8RfwI+8v7kPtW+yH69PrV+tH67Psa+y77A/qY+hH5jPkR+Kn4avhj+IT4qPi8+Mb4zfjN+Mb4tviS+Ez36veL90/3Ofc990v3VfdL9yr3Avbi9sL2lPZd9jj2L/Yy9i72JPYc9hj2DvX19cf1jvVd9Ub1SPVP9Uz1SPVU9Xj1tvYK9m/23/dN96f33/fy9/b4CPg3+H341Pk9+a76DfpL+nX6pPrk+zT7kvv4/Ez8dPxy/Gb8Zvxp/Fr8Ovwn/DT8Wfx//J78wvz0/Rz9Gvzt/MX81v0l/X39qv2q/aT9t/3a/e394f3J/cP92P38/iD+Qv5n/oz+rP7D/s7+0f7T/tv+7v8I/yX/RP9k/3//k/+n/7//2f/wAAQAGwA2AFMAcwCXAL4A5QEHASgBRgFmAYwBuQHiAgQCIwJHAm8CkwKyAtQC+gMiA0wDfAOxA+UEEgQ/BGwEmgTGBPIFHgVGBWwFlQXABeYGBwYnBkkGaAaDBqAGvgbXBu0HDgc9B2cHfQeHB5AHlgeOB3sHbQdoB2YHZAdlB2kHawdoB2YHYwdZB0gHOwc0BzAHKQcmByQHHwcUBwoHBwcFBwAG+wb5BvkG+Ab1BvEG6wbkBuIG6Qb2BwMHEwckBzIHOAc7Bz8HPgcxBwgG9AbhBskGqgaIBmYGQwYdBfIFyQWnBYgFYwUzBQEE1wS1BJUEcwRSBDEEEAPwA9QDvAOhA4EDZANNAzkDGwLpAqACTAIBAdIBzQHxAjICdAKRAnsCQgIBAcEBewE4AQkA+QEFASkBXgGNAZwBgQFPARsA6wC/AJQAWP/5/3//Cv6q/k394v14/ST84vyg/GL8NfwY+/L7uPt2+zr7C/ro+sr6qfqF+mj6Ufoy+f35wPmO+Wj5Q/kh+Qz5A/j8+PT47vjo+OH45vj4+Qn5EPkh+Ur5dvmN+Zr5uPnd+gH6S/re+3f7ovtf+z/7m/wQ/AH7a/rS+or6Z/os+eL5pvlx+Sz44fih+G34Pfgc+A/4Cff/+AP4I/hS+HP4e/h0+HH4hvi9+Pr5CfjR+Hf4NPgX9/r3tPc99qH17/U19IXz9fOV82XzU/M88v/yj/H/8XHxB/DI8KPwgvBf8D7wGO/l76nvde9N7ybu++7d7tTu0O7B7rPusO6w7qHuie6B7o/uoO6k7qPupu6k7pvulO6e7rPuxu7O7tDuze7A7qzun+6f7qPun+6T7o7ulO6a7p7use7j7yHvQO8o7uzupe5O7dftT+zh7KXsh+xh7Cfr5Oul62jrKOrp6rLqf+pH6gPpuOlw6Sno2+iF6DnoAOfN54rnOObr5rLmf+ZB5fvlueWA5U7lIeT15MfkluRo5D3kDOPM44fjSuMZ4uziwOKW4mfiJ+HV4XzhI+DH4GvgFd/E327fGd7T3qDeb9453g7d+t3q3crdq92d3YHdItyF2/rbwdvE27/bmttw21rbSNsu2xXbCNr82uba0drK2szaxNqs2pLag9qI2qDaxNri2uva49rg2vvbM9t7283cMNyq3SndhN2i3ZLdgd2Q3b/d/N4/3oHext8V33zf+uB74PDhWuHC4iPidOLC4x/jlOQe5LnlY+YH5ozm6+c3537nwOf/6EbooekN6YLqA+qS6ynrv+xU7Oztfu4D7n3u/u+H8AjwdvDc8U3x2PJ88yvzy/RQ9MT1RvXq9p73NveV98j38vgk+Ej4SPg9+Gn5Afn1+vf7vfw2/Jv9PP5F/5sA8wIFArkDKQN9A8wEGQRfBKcE9gVEBYEFsAXrBkoGxAc8B6QIBghnCLgI8AkjCWcJvQoSCl4KqAryCzMLawumC+gMLAxyDMENFw1rDbsOFA56DtYPGw9YD6gQBBBOEHQQjBCzEPURSxGyEicSmhL9E0sTixO/E+ET7RPgE7UTbBMsEzATmxRVFSgV5hZvFpoWZRYgFkgXCRf+GI8YgBgVF7wXoReiF3sXDBZ6FhcWFhZmFsIW9hb8FusW5xcLF0kXbhdaFy8XLBdXF3oXexd7F5gXrxeJFyoWzhalFrgW8BcmFygW4BZqFe8VhhVJFX0WYBfKGS0aERpyGpYarhrBGs0a4xsfG44cKBzJHUYdmx3zHn0fOR/6IIYgtCB6H/0fhR9AHxce0x5pHgkd2R3QHdMd5h4UHkseah5oHmEeZR5iHkgeJh4ZHh0eFR30HdEdxR3PHd4d7R4CHiMeSx5yHpgevR7lHxEfPR9hH3YfgB+CH3ofZx9RH0EfNR8gHv4e0R6XHlMeEx3hHawdUBzCHBIbURqGGccZQBj/GNYYmBhbGF4YqRj9GSAZGRkLGQQY9BjUGKwYfxhLGBQX3xemF2MXHhbmFrYWgBY9FfcVsxVxFTcVDhTvFMUUhxRIFBwT/RPSE4sTMRLTEoUSWBJJEj8SHBHcEZURWREqEQEQ3xDCEKYQiBBqEEsQJQ/2D8cPow+ID20PTw8zDxQO6A6mDlUOBA3GDaANhg1pDUQNHgz5DM4MoAx7DGQMSAwVC9cLowt8C1MLMAspCzkLMQrxCpYKUwo9CkEKSApKCj8KJAoFCfAJ5AnRCa8JhwlfCTAI+wjKCKIIfAhSCC0IFggJB/cH4AfIB7YHpgeZB4sHcAdCBxYHCwcrB1YHZQdRBzkHOgdLB0sHKwcEBu8G6QbeBtIG2Qb1BwYG6garBnAGVQZZBmYGbQZwBnMGeQZ7BnAGWgZIBkYGTgZYBmMGdgaNBpsGmgaVBpYGlQaJBnIGWQZBBigGFgYRBhUGEAX9BecF2gXQBbsFnQWFBX4FgQWJBZEFmAWVBYQFcAVoBW0FcwV4BYQFlwWiBZkFggVvBWcFZwVrBW8FawVVBTUFHQUVBREFBwT7BPkFBwUXBRwFEQT+BOwE3wTTBMcEvASxBKMEkAR6BGUEVQRCBCgECQPsA9EDtAOWA3kDXwNBAx8C/gLmAtYCxgKwApQCdwJYAjYCEgHvAdABswGVAXUBVgE8ASYBEgD9AOQAxgCkAIIAZABJAC4AEP/w/8//rf+L/2v/Sv8o/wX+4/7F/qn+i/5p/kb+Jv4N/ff94f3J/bD9lP1y/Uv9KP0M/PX82fy5/Jv8hPxz/GP8Ufw7/CH8A/vn+8/7ufui+437fPts+1r7Qfsl+wv69frk+tH6ufqc+n/6ZPpM+jb6JfoV+gX58/nh+dP5yPm7+az5m/mM+X35b/lf+U35Pfkx+Sn5I/ka+Qz4/fjw+On45fjh+N342vjZ+NX4z/jK+Mn4zfjQ+NL41vjb+OD45vju+PX4+/j/+Qb5EPka+Sb5M/lA+Un5Uvlb+WX5bPly+Xv5hvmR+Z35qvm1+br5vvnE+c751PnZ+eP58vn++gP6BfoN+hj6IPol+ir6Lvow+jH6NPo6+j76QPpD+kb6R/pH+kn6TPpN+kz6TPpQ+lT6WPpd+mL6afpv+nT6d/p5+nr6fPp++oH6hvqM+pH6lPqZ+p/6o/qo+q/6uvrF+tD63Pro+vP6//sO+x/7LPs3+0j7Xvtx+4D7kfuo+7771fvy/BL8LvxF/GP8iPyn/Lr80fz0/Rr9Of1Z/YT9sv3b/gf+Pv50/p3+wv7x/yb/VP+A/7f/8wAoAFsAlQDFANgA3gDoANoAlABBAEYAyQGIAj4C8AO8BJYFXQYPBqkHAQb6BrkGdQYaBWkEdAOxA34DwAQZBFcEigTMBSUFkQYHBnkG3Qc3B5EH6QgwCFoIYQhLCCwIGwgaCBsIEAf8B+QHxQedB28HOwcABscGmgZvBioFxgVdBQYEtwRcA/8DvAOVA3ADOwMAAsQCfgIiAbQBOwC7ADr/wf9V/vP+lf49/e79rv2H/YP9lP2Y/XX9OP0E/OX8xvyU/FD8EPvg+7v7lvtw+1f7V/tg+0j68vpo+dT5Vfjs+JD4S/gs+DL4Sfhh+HT4gfiE+H74cfhX+CP32feT92f3VPdR91X3VvdJ9yn3BPbn9sf2kvZP9h72EPYY9iH2J/Yw9jf2LvYO9dz1pPVx9U71QfVB9Ub1TvVg9YX1wvYT9nT23/dJ96L31/fp9/L4DfhC+Iv45flT+cf6HfpH+mD6jvra+zD7ifvr/Ev8jfyh/Jn8kfyJ/HD8R/ws/Dz8c/yz/Oj9Ef0y/Tv9G/zh/L/84/1H/bD94v3Z/cL9x/3j/fL93f23/ab9u/3o/hf+P/5j/oT+of62/sD+wP69/sL+0f7n/wD/Hf8//17/df+H/5//u//V/+sAAgAeADsAWgB8AKMAyQDsAQ0BLgFUAYABrwHYAfgCFQI2AloCfQKfAsUC8QMgA1IDiAO/A/IEHARCBGkEkAS4BOQFEgU9BWUFjgW3Bd0F/gYdBj0GWQZzBpEGsgbPBuoHDQc5B14HcQd3B30HgweAB3UHbQdpB2UHXwddB14HXQdZB1UHUAdGBzgHLAckBx4HHAceByEHHAcRBwcHAgb/BvwG+gb7BvoG+Ab2BvIG6gbiBuMG7gb8BwgHFQckBy4HMActBywHKAccBuYG0ga4BpoGeQZXBjYGFwX4BdYFrwWEBVYFJQTyBMMEoQSJBHIEVAQuBAUD3wPBA6wDmAN9A10DQgMxAycDGgL6Ar0CZwINAccBowGmAdACEQJHAlcCPwISAdUBiAE7AQ8BDwEpAUQBXAFqAWUBRwEeAPcAzwChAGoAKP/X/3//M/71/qr+Rv3Z/X79NPzu/K78gPxc/Cv76Puf+1/7KvsB+t76ufqM+mT6TvpD+jD6Evnx+c/5oPlo+Tr5Ifka+Rr5FvkG+PL47/kC+Rb5HPko+Un5b/mB+Y/5sfna+fP6Jfqi+zz7dPsu+uT7Bfta+1z69vqM+l/6Svob+d75rPl4+TH45vir+Hr4Svgj+BD4BPf4+AL4Nfh9+Kn4pviM+Ib4qPji+Qr4+vi0+F34GPfn97X3cvcS9ov12vUX9Gbz3/OH81jzRPMy8wDym/IR8YbxGvDS8KHwd/BU8DfwFe/i76jvfO9e7z7vGO797vfu9e7m7tHuxO697rPuqu6s7rTutu6x7rPuuu667rHur+697s7u2O7e7uXu5+7c7svuxu7P7tru2e7M7sPuyO7a7vfvJO9l76Xvwu+r73TvNO7k7mvt0O1A7OXsuuyY7GXsIuvb65frVesW6tzqpupu6jDp7umr6WTpE+i/6HfoQegM58fndecs5vPmvOZ65jfl/OXI5ZXlY+Uz5QTk0uSh5HLkPOP647TjeONH4xvi8OLG4pjiXOIR4b/hZuEG4KbgTt/+363fX98e3ujerd5x3lDeU95X3j/eGN333cPdUdyu3Crb/NwD2/7b2tu126Hbj9t021zbVNtO2zzbJ9sd2xrbENr42t7a1Nrk2wzbONtO20PbKNsd2zjbeNvM3Cjcjd0A3XLdxN3f3dHdxN3T3f3eMd5k3pve3d8w35zgHeCg4RbhfOHb4jHifOLI4ynjpOQz5M7ldeYX5prm9ec253Dnqufj6CjohOj06W/p7+p16v3rh+wa7LrtW+3q7mDu0O9J78rwRvC+8T7x0/J18xLznfQb9Jz1MvXc9on3G/eB98j4Efhs+Lr4y/ic+HP4rvlu+nf7Yfvz/E/80P2x/uQAJgE/AiMC4AN9A/EEOgRqBKEE7gVFBYoFuQXtBkMGtwcpB44H8ghYCK8I6AkVCVUJqAn6CkIKiArNCwoLQAt5C7kL+Qw2DH0Mzw0kDXUNzA4tDooO1g8dD3IP0xAoEGYQlBC/EOsRJRF8EfESaxLMEw8TQBNoE4ATfxNcExgSyBKfEsgTRRPsFJoVRhXbFiUWBRW9FcsWaxdSF/MYCBfAF3gXXxdaFywWtxYlFcwV4BZBFqMW0xbVFscWxhbfFwAXBBbmFtMW+Rc7F1IXLxcZF0AXdRdqFxsWyRaiFpgWkBaCFm4WUBYgFdkVfhU0FUgV+xc0GIAZdBn0GiMaJhoaGh4aUBq8G1ocFRzFHUMdhx2/Hice0B+OICIgZCBZICkgBB/5H+Yfph85HsUeax4yHhweMR5zHsIe7R7iHrgekx54HlYeIh3nHbcdkh1vHUwdMx0tHTwdXh2QHckd/x4vHlweiB6yHt4fDh8+H2MfeR+DH4QffR91H28fZh9PHy0fBx7bHqUeah4zHfAdiBz5HFgboBq4GbIY5xihGL0YyxiVGFYYXxizGRAZQhlEGTIZIxkaGQwY5BiiGF0YIRfnF6QXXxcoFv0WyRaFFjwV9xW1FXkVSxUmFPUUsBRoFDYUGhP3E7oTZxMVEtoSvBKsEpASVRIGEbsRgxFXES4RChDyEOAQyBCkEHkQSxAeD/QPzg+uD5UPgA9nD0MPEQ7TDowOQQ3/DdINuQ2iDX8NTw0cDOsMvgyZDHgMTgwWC98LuAuXC24LSwtOC28LdwtACuEKkQpsCmUKaApsCmcKTQomCggJ+gnrCcwJowl6CUwJFQjaCKYIewhVCDYIHwgLB/IH2AfDB7IHoQeQB4IHcAdQBy8HLAdPB3YHcgdCBxgHGQc0BzkHHwcIBwwHFQcDBuMG2gbsBvEGygaJBlsGUQZeBm8GegaABoMGiAaNBoYGcgZdBlUGWAZcBmQGeQaVBqcGqgaqBq8GrwajBo4GeQZhBkAGIwYYBh0GGwYFBekF1QXHBbAFkQV1BWYFZgVzBYoFogWoBZQFdAVeBVgFXAVgBWYFcQV4BXUFagVcBU8FSAVNBVgFWgVGBSMFCwUFBQUE+QTlBNoE4QTxBPwE9wTnBNQExgS9BLQEqQSdBI0EeQRiBE4EPgQsBBQD+gPiA8wDswOYA30DYgNAAxgC8wLZAsoCuQKiAocCawJPAi8CCwHpAcsBsQGVAXYBVwE6ASIBDAD2AN0AvwCeAHwAXAA9AB8AAf/k/8b/pv+G/2b/Rv8l/wH+4P7B/qb+if5p/kX+JP4J/fT94f3N/bn9pP2J/WT9Pf0e/QT85vzD/KP8i/x7/Gr8V/xB/Cf8Cvvt+9D7tfub+4X7c/tl+1T7QPsr+xn7Cvr7+uj60Pq1+pz6hfpv+lj6RPoz+iX6FfoF+fb56vne+c/5v/mx+aT5lfmD+W75W/lM+UT5P/k3+Sn5F/kK+QX5BPkB+P34+vj6+Pn49Pjw+PD48vj1+Pj4/PkB+Qb5CvkQ+Rb5HPki+Sn5Mfk6+UT5Ufld+Wj5cvl9+Yj5j/mU+Zz5qPm1+cD5y/nV+d755fnt+fX5+vn/+gf6Efob+iH6Jvot+jT6Ovo/+kX6SvpN+lD6UvpU+lX6VfpX+ln6W/pb+lv6W/pb+lz6Xfpd+lz6XPpd+mD6ZPpp+m76c/p3+nv6fPp7+nv6gfqJ+pD6lPqZ+p76oPqh+qf6svq++sf60frb+uX68PsB+xP7Hvsm+zT7S/ti+3P7hPuY+6z7wvvd+/38GPwu/Ev8cPyO/KL8ufze/Qb9Jf1G/XL9of3K/fX+Kv5e/oP+qP7b/xL/P/9r/6f/5gASADYAZACSAKgArwC5AKwAYQAIAB8A6AIWAy0ECATLBYoGMQavBvkG+wa2BlIF+QWYBQgEXAPpA9gD+wQZBC8EXQSrBQoFbAXSBjwGpQcNB3MHzQgUCEUIWwhUCDwIKgglCCUIHwgVCAcH6we9B4QHTgccBvIGzQahBlsF+AWTBT4E8ASZBEQEAwPVA6cDcAM4Av8CuAJaAegBaQDeAFD/y/9V/ur+g/4m/dr9pv2R/aL9xv3U/bP9ef1W/Vb9Wv04/PL8q/x9/F78Nfv3+7X7gftW+xX6qPob+Y/5H/jI+H34OPgH9/b4A/gh+D/4TPhD+C74GPgD9+P3ufeP93P3Zfdf91z3WfdN9zL3E/b09s32jfZB9gv2APYS9ib2OPZM9lz2UvYo9ev1rvV89Vf1RPVE9VL1Z/WD9an14fYp9n322vc294P3s/fG99X3+fg4+In47Plk+dv6K/pF+lL6gfrb+z/7mPvu/Eb8jPyt/LH8sPyw/J38c/xO/FH8gfzE/Pz9HP0f/QP8z/ye/Jf80v08/Z/9z/3I/a39pv25/cf9uP2Z/Yv9pP3X/gz+OP5a/nb+jP6d/qb+pv6i/qT+sf7F/tz+9/8b/z//Wv9w/4n/qf/H/+D/+QATACsAQwBhAIcArwDSAPQBGgFHAXYBpAHIAeUB/wIdAj8CYwKJArcC6wMjA1wDlAPMA/wEJARGBGkEjASxBNgFAgUrBVMFewWmBc0F7wYQBjAGTgZqBogGpgbCBt0G/gclB0cHWwdoB3MHegd5B3EHawdmB2AHWAdSB08HSwdGB0AHOgcyByoHJAceBxkHGAccBx4HGQcQBwgHAQb6BvUG9Ab1BvIG7gbsBuoG5AbfBuYG9wcEBwkHDQcUBxkHFQcNBwYHAAb2BsUGtQacBnsGWQY3BhUF9QXXBbYFigVSBRgE4wS1BI8EcgRfBEsELwQJA94DuAOdA4sDeANeA0ADKQMbAxIDCwL8AtQCkAI8Ae8BuAGbAZ0BvQHtAhUCKQIjAfcBoQFEARcBKAFTAWkBZAFSATsBHQD+AOIAwQCQAE0AA/+8/4T/Yf9E/w3+q/42/cv9cv0k/Ob8ufyP/FD8Afu4+337Svsc+vX6z/qj+nf6X/pa+lj6Tfo8+h355fmc+V35QPlA+Uj5Qvkm+Qb4//kV+Sz5Mfk2+U75bfl7+Yn5r/na+ez6DPp6+xj7Y/sX+pj6bPqW+rD6jPpZ+kP6NvoX+e75wfmC+TD45/i5+JP4ZPg4+CH4F/gT+Cf4aPi++O/44/i4+KL4u/jx+Rf5C/jI+Gf4BPew9273NPbj9l31p/Tu9Ffz5vOP80/zLPMU8uTyh/IJ8YvxJvDb8J7wa/BH8C/wFO/p77bvje9w71DvLe8Z7xvvHu8R7vfu4O7U7tLu2+7m7uPu0u7E7sbuzu7L7sXuze7h7u3u8O747wjvEO8F7vfu9+8F7xPvF+8R7wjvCe8k71vvou/j8AnwCO/i763ve+9C7uHuUO2x7Tbs7+zF7JjsW+wU68zriOtH6wnq0OqY6mHqJunl6ZvpTOj+6L3ohuhM6AXnued15zrm++a25nXmP+YK5c7llOVk5TnlCuTV5J/kZuQo4+njseN/41HjJuL+4tPim+JV4gXhquFF4OHgi+A/3/Pfp99h3x7e2d6i3pjett7O3rreh95O3gDde9zX3F3cN9w+3DfcFdv02+Lb0Nu226HbmtuW24nbedtx22/bZNtK2y7bI9s322Hbh9uQ23jbWttY24Tb1Nwz3JTc9N1a3b7eBt4c3gzd+d4C3iPeS95z3qTe6N9G373gQ+DG4TThj+Hg4ividOLG4y/jseRA5Nblc+YK5obm2ucT50Xnfue/6BDodujs6WTp2upS6tLrWuvx7JrtSO3h7lXutO8a75XwFvCW8R/xvfJj8vTzafPb9GT1CPW09lb25fdc97/4IviR+PT5Gvjt+J34kPkJ+fL66PuY+//8Zv0R/gf/HgAyAUECSgM0A94EPQRtBJkE3wU5BYwFxwX8BkkGsQcaB3QHzQguCIkIzAkCCUIJjwnYChYKVQqbCt4LGAtQC40LywwHDEkMlAziDS4Nfg3WDi0OfA7MDygPjQ/rEDsQfhCwENcRCxFiEdkSShKaEssS9BMcEzETIBLmEpgSWhJZEqgTNxPbFH0VFhWVFc8VsRVyFXIV4xaTFyQXXhdUFz0XOBcwFvEWaRXMFXoVnRYGFmEWiRaPFpQWpBa8Fs0WxharFqMWyxcCFwgW3hbJFvMXLhcyFwMW2RbOFrcWbBX/FaMVcxVhFUsVHhT0FQwVlxaKF50YgxkRGUUZPRkvGVQZvhpRGuobfBv+HF0cjxy1HQUdmx5UHvEfTB90H5MfwB/qH/IfyR99HyQeyx56HkceUB6cHwofXB9mHzIe8h7GHpkeQx3DHUUc9BzQHLgclhx2HHUcpBz4HVIdmh3QHgQeOx5uHpoeyB7+HzMfXR96H4wflB+TH4gfch9SHzEfFx7+Htoerx6DHkcd1x0xHHQboRqNGTwYHhfBGCgYuBjeGJ0YbBibGQwZahmFGXAZXhlmGXEZVhkMGLEYYhgeF9oXmhdrF0YXFhbSFocWQBX+FcEVjxVlFTEU6hSfFGcUQxQgE+sTpxNnEzwTIRMFEtMShhItEeMRrhGIEWQRQREkEQ8Q+BDVEKcQdhBHEBwP8g/QD7oPrQ+YD3APOw8DDsYOgQ48DggN7g3bDbgNfw0/DQQM1AyrDIQMVAweC/ALzgutC4ILYwtoC4cLjQtcCw0KyQqfCogKgQqLCpQKfQpMCh8KCwn9Cd4JsgmHCV4JLAjwCLUIhQhfCEEIKQgQB/YH3gfPB8QHtAegB4wHdgdWBzoHOwdjB4gHeAc0BvYG6wcEBxEHCgcRBzIHRgcpBvQG2QbcBtMGogZoBkwGVAZnBnQGfwaHBosGjwaTBpEGhQZ3BnEGcAZrBmoGegaYBqwGrgasBrIGtgatBpkGgwZoBkQGIQYRBhUGFgYGBeoF0AW5BaEFhwVuBVsFUwVcBXgFmgWoBZgFdAVUBUYFRgVIBUgFSQVMBVEFUwVMBTwFLgUsBTcFPAUtBRIE/wT8BPwE7wTWBL8EtwS/BM0E1ATOBL4ErwSlBJsEjQR7BGcEUwQ8BCcEFQQDA/AD3APMA7wDqAOSA3kDXAM2AwgC3wLBAq8CnQKJAnECWAI9Ah4B/QHeAcMBrAGTAXgBWwE+ASUBDwD4AN4AwACgAH8AXgA8ABv//v/k/8n/qv+K/2n/SP8m/wP+4v7E/qf+if5p/kX+Iv4F/fD93f3K/bj9pv2Q/XD9S/0r/RD89PzS/LD8lvyC/G/8XPxG/C78Evv0+9b7uPuc+4X7dftn+1X7Qfsw+yX7G/sN+vr64frI+rL6oPqN+nj6YPpN+j76MPoi+hT6Bvn5+ev53vnU+cr5vfmr+Zb5gflw+WX5XvlV+Ub5NPkn+SL5Ifke+Rr5F/kX+Rf5FvkU+Rb5Gfkc+R75Ivkn+Sv5Lvky+Tb5PPlD+Uv5VPlb+WX5cfl9+Yf5j/mZ+ab5sPm4+cL5z/nd+ef58Pn6+gb6EPoY+h76I/oo+i36Mvo3+j36RfpN+lH6VfpZ+mD6Zfpp+mz6b/pv+mz6afpp+mr6bPpt+m36a/pp+mv6bvpu+mr6Zfph+l76Xvpi+mf6bPpy+nr6f/p9+nv6f/qH+o36kPqU+pr6nfqc+qH6rPq3+r36xPrO+tf64fry+wb7FPsb+yb7OvtR+2T7dvuK+577sfvL++n8BPwa/Db8Wfx3/Iz8pvzM/PP9FP03/WX9lf29/eb+GP5H/mv+k/7K/wP/Lf9W/5H/zf/yAAsANgBqAIsAmACiAIwAMv/RAAABCwKRA+4E3wWTBjkGxAcWBx8G3gZjBdsFbAUMBJwEKwPqA+ID7QPxBAcESQSpBQUFVQWqBg0GewbsB1UHrAfsCBwIPwhLCEEILggjCCAIIQglCCMICQfSB48HWgc6ByYHDwblBpwGOgXUBXsFLATcBJAEUwQdA+MDpwNyAz4C+gKeAisBpgEOAG//3P9d/u3+iP4y/fD9w/2z/cb97f4A/eX9sv2Z/av9wf2q/WD9D/zZ/Lb8g/wt+8T7YfsK+rD6RvnP+V34//i1+HP4Mff399n34/gJ+C/4Ofgi9/j30ve396T3kPd993D3aPdj9133VvdL9zn3IfcC9tH2h/Y19gP2BPYl9kT2WvZt9nr2bPY19en1ovVw9VT1TfVa9XT1kPWr9cz1/PY+9oj21Pcd9133i/eq98b38/g1+Iv48/lt+eH6LfpF+lL6iPrs+1n7sPv5/ET8h/yv/L38yfzW/NH8sfyJ/Hv8kvy+/Ob8+Pzr/L/8h/xm/Hf8uP0N/Vb9fP1+/W39Zf1x/YP9hf15/Xn9lf3G/fv+J/5K/mP+dP5//of+i/6M/pH+nv6y/sf+4P8B/yX/Q/9c/3b/lf+y/8z/5f/9ABEAIwA/AGUAjgCzANcBAgEzAWMBjAGuAcsB6AIIAi0CVQKAArAC5gMdA1MDiAO8A+sEEwQ3BF0EhASrBNME/QUoBVMFfQWmBcsF6gYIBiUGQwZgBnsGlAasBsgG6QcPBzAHSQdcB2wHcgdtB2IHWgdVB08HSAdCBz8HPQc6BzQHKwckByAHHwccBxgHFgcWBxMHDQcGBwAG+QbvBugG6AboBuQG4AbiBuMG4AbfBuoG+gcCBv0G+Ab5BvoG9QbqBuAG2AbPBqwGoAaIBmUGQQYcBfUFzQWoBYIFUQUWBNwErgSJBGcESQQxBBsD/wPfA7sDmwOCA3ADXANEAysDGAMKAv8C9wLxAuECuAJ7AjoCAgHSAa0BngGrAdICBgIsAhwByQFgASkBPgFxAYcBdgFWATgBGgD8AOIAxACWAFMACv/L/6T/lf+K/13+/f6B/gn9o/1T/Rv89PzF/Hz8KPvl+7f7jPtb+y77Bvrb+q/6kfqD+nr6cPpj+kn6EvnG+Yb5bPly+Xv5cPlO+Sv5Ivk1+Ur5TflP+WP5e/mF+ZD5t/nk+fb6CPpi+vr7UvsQ+nf6Ffod+kv6XPpO+jr6KvoZ+gb53PmJ+SH41Pi0+Jz4cPg/+CX4Ivgt+E/4kvjb+Pr45fi6+KT4t/jm+RP5GPje+Gn34fd39z73F/bC9iT1ZPTH9F/0B/Og8z3y//Lf8rLyXPHr8X7xJ/Dg8KDwafBB8CvwFu/178vvpO+E72bvTe9G703vUO9A7yDvAe7v7vHvA+8R7wXu6u7d7uXu7e7l7t/u8O8I7xHvEe8f7zjvP+8w7yXvLO8870nvVu9g71nvSe9V75Tv7fAu8D3wI+/378vvp++C7z/uyu4y7aPtPez87MjsjexJ7APrv+t96zzq/erD6o/qWeoa6dLph+lB6QPoyOiI6EPn/+fA54DnOebw5rDmeOY95fvlwOWU5W7lQOUG5MnkkeRa5CLj7OO544zjZuND4xni4OKa4krh7+GJ4SXgz+CD4Djf6t+f31jfF97z3v3fJt883yHe5N6b3jfdp90K3J7cfNx93G/cTtwv3BzcCtv12+Tb3tvZ28/bxdu/27rbqduJ22jbWNtn24jbo9uh24rbetuP28/cLdyR3OvdP92W3eveJ9403hzeBd4L3i/eWt6F3rjfAt9p3+ngcuDv4VLhn+Hi4ificeLI4zbjt+RB5NDlYOXp5lnmpeba5w/nUuej6AXodejt6V7pyOo06rDrPOvY7IPtNe3T7kbum+7y72Hv3PBX8N/xhfIz8sLzKfOP9Bz0y/V29gz2l/cg96P4HPiN+Oz5GvkA+LX4iPjD+Xb6Yvsv+7L8DvyE/TX+Ff8QACABPgJPAy8DzQQzBHsExQUdBXcFvgX1BjcGlAb5B1IHoAf2CFAIogjoCS4Jdgm3Ce4KLAp1Cr4K9wslC1gLlwvdDCQMaQysDPINPQ2PDd8OLA6BDuIPRw+nD/0QRxCAELAQ8BFREcQSIhJXEngSoxLVEuwSzxKHEkASJRJKEq0TPBPkFJIVKBWGFZoVdRVLFU8VkhX+FmwWvhbrFwQXFRcPFskWOBWaFUwVcBXPFhgWOBZLFmkWjBaoFrwWwxa5Fq8WtxbJFsQWpRaWFqwWyRbDFqoWqRbAFrIWRhWMFM0UThQfFCUUOhRXFJMVEBXRFrgXjRgXGDwYJBgrGJkZWhoYGpEa0BsBGzMbWxt7G7ccKBy6HTcdgh2vHekeOR6CHqketB66HrwepR5zHkceUx6vH0EfxB/zH8cfdx85Hv8ejh3dHSgcuRyQHHccPxv0G8Ub2hwrHI0c2x0VHVUdph33Hjsedh6zHvAfJh9TH3oflh+gH5ofiB9vH1gfQB8dHuwewR6tHpQeMR1mHFsbNBnhGFoXCBaPFyQYNBjrGPoYvRi4GQoZdBmsGasZnhmpGbwZqxlmGQMYpRhWGA8X0heoF4kXYRcjFtkWkBZMFg8V2hWqFXYVNRTtFK0UeRRIFBIT1xOlE4ITZBM9EwIStBJgEhUR3BGzEZERaxFDESERBhDrEMcQmxBrED4QEw/wD9wPzg+4D5IPYQ8uDvUOsg5sDjYOFw4ADdoNnw1cDSEM8AzFDJsMcAxFDCEMAQvcC7ELkQuIC4kLeAtOCyILAArhCrsKogqmCrEKmwpgCiYKCwoACeUJuAmKCWUJOwkHCM8InQh1CFUIPAglCA4H+QfsB+IH0we+B6YHhwdgBz0HOwdgB4YHeQc1Bu8G1gbiBvEG/wciB1gHcAdKBwgG3gbUBr4GjQZfBlQGZAZxBnUGewaEBokGigaMBo8GjQaLBowGiwZ/BnUGfwaaBqsGqgalBqwGtgavBpgGfgZlBkkGLQYYBg4GBgX5BeUFzAWxBZoFiQV7BWkFWAVVBWYFfwWMBX8FYAVCBTIFMAUxBS4FKQUoBS8FNgUyBSMFEgUNBRMFFgUPBP8E8gTvBO8E5gTPBLEElwSNBJUEowSoBKEEkgSFBHcEZAROBDoEJgQSA/0D6QPXA8UDtAOlA5gDiQN5A2QDRwMgAvECxgKkAo0CegJpAlYCQAIkAggB6wHRAbgBoAGKAXQBXAFEASsBFAD7AN4AvwCfAH4AXgA9AB4ABP/t/9T/tv+V/3P/Uf8v/w3+7f7O/q7+jv5s/kj+I/4E/e792v3F/bD9nv2L/XH9UP0y/Rj8//zg/MD8o/yK/HX8YfxN/Df8HfwA++P7x/ut+5j7ivt6+2X7Tvs8+zH7Kfsc+wn68PrX+sP6s/qk+pD6efpj+lP6Rvo6+i36H/oQ+gL5+fny+ev54PnR+b75qvmY+Yv5gPl0+WT5U/lG+UD5Pfk7+Tf5Nfk1+TX5Nvk4+Tv5Pfk/+UH5RflJ+Uz5T/lT+Vf5Xflk+Wz5dPl9+Yf5lPmf+ab5qvmx+b75zfnb+ej59/oG+hH6Gfoi+i36OPo/+kT6SvpQ+lT6VfpW+lz6Zvpv+nP6dfp4+nv6fvp/+oL6hfqD+n76evp2+nX6dvp5+nn6dvp0+nb6evp8+nj6cfpp+mL6Xfpf+mT6aPpv+nr6gvqC+n/6gvqI+ov6ivqM+pP6mPqZ+p76qPqx+rT6ufrD+s361vrk+vj7CfsS+xz7LftB+1P7ZPt6+4/7ovu5+9b78fwJ/CP8RPxh/Hn8lPy5/N/9Af0m/Vb9hP2p/dH+A/4z/ln+g/69/vX/G/8//3T/rP/O/+kAGQBVAHwAigCLAGL/9/+c//MBOgLwBFgFOQXYBnMG+gdCBzgG1gYvBXgE7ASWBFMEEgPjA88DyAPOA/gESwSnBPAFMAWABeUGVAbEBy0HhAfCB/MIHwg9CD8ILggdCBgIIAgxCDoIJQfsB6QHbgdWB1MHTAcrBuYGgwYaBbwFawUgBN0EogRlBCED3wOrA3oDPALnAngB7wFMAJ8AAP97/wv+rP5i/in9//3n/ez+Bf4U/f390f25/cb91/27/Wr9DPzK/J/8ZvwJ+5X7Ifq7+l76BPms+Vb5CPjE+IX4Q/gE99734/gI+C34MvgT9+H3s/eV94b3fPd09273bPdo91/3U/dJ9z73LvcQ9tr2ivY49gv2F/ZD9mj2ePZ/9oP2bvYy9d/1lPVk9VT1X/V/9aX1wPXP9eX2EfZU9pz22/cO9z73bvec98b39/g4+I349fln+dH6Gvo9+lz6nvsG+3D7wfwC/Ef8ivy3/Mr82Pzr/PP85PzJ/Lv8wfzS/Of89/zy/M38mPx3/IL8rPzb/QD9Gf0m/Sb9Jv0y/Un9Wv1h/Wz9iP2z/eH+Cv4u/kn+Wf5g/mf+b/53/oL+kf6k/rf+zf7p/wr/KP9E/2D/fP+T/6n/wP/Y/+z//gAZAD8AZwCMALIA4AERAT0BYQGDAaYBzAHzAh4CSQJ3AqYC2QMKAzoDaQOZA8gD8gQaBEQEcASeBMwE+wUrBVsFhwWsBcwF5QX8BhMGLQZJBmMGewaUBrQG3AcDByIHOgdOB1wHXwdVB0gHQAc9BzsHOAc1BzUHNwc2BzEHJQcaBxUHFQcTBw8HCgcGBv4G9QbuBuoG4wbYBtMG1AbUBs8GzQbUBtkG2AbWBt4G5wbnBt4G2QbcBt8G2wbSBscGvAazBpwGjwZzBk0GKAYCBdQFoQVyBUYFFQTgBLAEiQRnBEMEIgQGA+0D0gO3A54DhgNvA1sDRwMxAxoDCgL+AvIC6QLmAuUC1QKzAowCZQI3Af0BxQGmAbMB6gIqAjwCAQGcAVkBXQGFAZoBjgF1AVkBOQEUAPQA2QC1AIIARwAR/+r/1f/C/5T/O/7F/lD97P2e/Wj9P/0L/L38bPw1/Bb78/vC+437X/sy+wT63Pq8+qH6ivp4+mD6Mfnw+bv5p/mo+aj5mfl8+WD5VPlb+Wb5avlx+YT5lvmW+Zr5vvnv+gX6D/pP+s37Jfr7+nH6Bfn++jf6Y/pj+kf6LPol+iX5/vmX+Rf4vvig+JH4bPg9+CD4IPg6+Gz4qPjN+Mb4p/iU+J74uvjh+Qn5Fvjd+FX3s/dD9x33AfaZ9dz1HfSt9Hv0M/Ox8yby0PKr8oDyL/HI8WvxIfDj8Knwc/BK8DDwHfAF7+Pvv++g74rvgO+C74bvfu9l70PvJO8P7w3vGu8g7wzu8e7t7wLvDu8E7wDvFO8r7y/vMu9K72fvae9Z71jvaO9v73Dvg++k76Tvdu9U73fvzPAS8CbwGfAF7+/v1++975PvP+697intqe1K7QHsvex57Dfr+Ou563frM+rz6rvqh+pM6gnpxOmC6UPpA+jB6IHoRegH58Lndecq5ujmrOZs5ivl9OXM5ablc+U25Pnkw+SQ5FzkJePy48rjrOOP42PjI+LY4oniM+HS4W/hFeDE4HXgKd/m37Dfi9+B35HfpN+Z32rfJ97W3mXd0t1E3OvczNy/3Kbcgtxk3E/cPNwt3CTcINwa3BHcCdwC2/Tb2Nux24vbeduB25fbpdug25Pbl9u+3AjcZ9zH3RndY92x3fzeLN4s3gvd8t4B3jXect6s3ujfNt+g4CDgpeEY4XHhteHz4jTigOLa40TjveQ+5MXlTOXJ5i3mc+aq5ujnN+eU5/3ocejq6Vvpwuoq6qPrL+vI7GntEO2p7h3ub+7A7yXvl/AM8JXxQ/H88ozy6fNJ89v0kfU69cL2RfbY93L3+/hq+Lv46Pjl+Ln4i/iX+Qj50vqx+177zvwv/LH9Wv4c/vD/2gDbAeYC4gOzBEYEqQT+BVUFoQXYBhAGYgbKBysHewfJCCIIegjKCRMJWQmZCdQKFgpjCqoK2wr7CyMLYwuzDAEMRAx/DMENDg1gDa4N+Q5MDqoPCw9mD7oQBRBGEIQQzxExEZUR2hH8EhYSRhKCEqESiRJNEiMSKxJhErYTLBPRFJEVMBV1FWQVNxUhFTAVWRWYFe8WThaXFr4W0RbNFpYWIhWiFWYVgxXDFe0WARYfFk4WdxaQFqkWxhbTFscWshanFqMWmBaHFnYWYRZCFikWMBZPFk4V6BUHE+gS9RKAEpMS9RNrE+UUeBU+FioW/xduF1wXGhc0F/cZGhoJGmwaZxpWGmkalhrEGvcbPxuSG84b4BvjHAQcSRyWHNMdEh1rHc0eDR4fHiYeWB7VH4sgNiCJIG0gFh/JH4UfGR5wHcEdTR0WHOQciRwMG5kbWRtaG4MbthvqHDYcpB0lHaEeCx5kHqoe4B8QH0MfcB+MH5sfqB+yH7Afkx9WHwke1R7THtUech1rG/EaYRjfF2IWIRWiFjkXihi+GTwZGRjbGOcZPBmYGcoZ1RnYGdsZyBmMGTQY2BiFGDwX/xfWF70XoBdwFywW5BafFmEWJxXvFbcVfBU8FPgUsxRyFDMT+hPLE6UTfxNRExoS3BKYElASDRHaEbQRixFYESYRBBDuENYQsRCFEFkQNBAVD/0P5g/KD6gPfw9RDxcO0w6QDlsONg4SDeINqQ1zDUUNHwz5DNQMsQySDHQMUwwsDAIL2wu4C5ALYwtBCzkLPAsqCvgKyAq5CrsKoQpiCiMKBQn+CesJwgmUCW8JSwkhCPAIvgiSCG8IVwhFCDIIHQgJB/cH5QfRB7oHnAdzB00HQwdcB3oHcwc/BwQG5gblBu0HAQcuB2QHdgdQBxEG6AbVBrgGiwZrBmsGeQZ7BnYGewaGBooGhwaIBpAGlgaaBp0GmwaNBn8GhAaYBqUGoAabBqcGtwayBpUGdwZnBmIGVgY7BhcF+AXlBdkFyAWwBZwFlQWSBYYFcwVkBWMFaAVnBVoFQwUsBR4FGgUcBRkFEQUMBQwFDQUJBP8E9gTxBO8E7QTnBN4E1QTRBNIE0gTGBKsEhgRpBGAEaQR0BHUEbARdBEwEOAQkBBEEAAPuA9oDxQOvA5kDhANwA2ADVANKAz0DJgMCAtgCrwKNAnICXwJQAj8CKQIOAfIB2QHBAacBjgF6AWkBVwFBASgBDgDyANQAtQCUAHUAVwA5AB4AB//y/9r/v/+f/3//Xf87/xr++/7c/rr+lv5z/k/+Kv4J/e/92f3C/ar9lf2D/Wz9Uf01/R39Bvzs/M78sPyU/Hz8aPxX/EL8KfwP+/X73fvG+7X7qPuY+3/7YvtM+z77Nfso+xX6/frk+s/6wPqz+qL6jPp2+mX6WfpP+kX6N/on+hr6E/oP+gj5/Pnu+d75zfm9+a/5ovmU+YT5dPln+V75WflX+Vb5VflV+Vb5Wvld+V75Xvle+V/5Yflk+Wf5bPly+Xn5fvmE+Yv5k/mc+af5tfnB+cf5yPnM+dj56vn8+g36Hvot+jr6Q/pK+lP6XPpj+mj6bfpz+nj6ePp4+n36h/qR+pb6mPqZ+pj6lvqV+pb6l/qU+o/6ivqG+oP6gvqD+oL6f/p7+nz6f/qB+oD6ffp1+mr6Y/pk+mn6bfpy+nv6hPqG+oP6h/qN+o36h/qG+o76lvqY+pz6pfqs+q36sfq9+sn60fra+ur6+/sG+xH7Ivs1+0P7U/tp+4D7k/uo+8P74Pv5/BL8MPxO/Gf8g/yl/Mr87f0U/UL9bP2P/bj97v4i/kv+dv6u/uX/Cv8r/1z/kP+1/9gADwBKAGsAcQBlACr/tP9r//IBawMvBHkFKgWnBj4G4gdhB5AHRgZ5BXIEqQRVBEgEPAQZA/AD1APXBAQETQSRBMQFAAVZBcMGLAaUBv0HWwegB9IH/wglCDQILAggCB8ILghECFIIRQgUB88Hkwd2B3YHegdjByIGvwZWBfgFqgVlBSYE6wSpBGAEGgPiA7ADdAMkAroCMgGOAOAAQP+4/0f+6/6l/nL+SP4o/hz+H/4d/gL91/25/bT9sf2I/TP8z/yD/E/8FPu/+1v6+Pqh+lL6CvnH+YT5P/j8+L34efg2+Ab3/fgR+CX4IfgE99r3tPea94z3hPd793X3c/dx92f3WfdN90X3N/cc9un2nvZQ9ib2MfZb9nn2fPZ19m/2XPYq9eH1nfVx9WX1efWj9c315fXt9f72LPZ09rz28PcT9zX3YveV98T39Pgx+Ib47vlb+br6Afo0+mn6uPsf+4D7x/wE/Ej8j/zA/NP83/zx/QH9Bf0E/Qn9Ev0b/Sn9Q/1T/T39AfzF/Kz8sPy8/MX80/zn/PX8/v0N/Sb9Pv1O/V79ef2d/cL95P4H/ib+Of4//kP+S/5X/mX+df6I/pv+sf7K/ub/Bf8n/0j/ZP94/4n/nf+2/8z/4v/9AB8ARABnAI8AvgDtARIBMwFVAX4BqwHXAgQCMQJeAowCvQLvAyADTwOAA7AD3QQHBDEEXwSOBLwE7AUdBUwFdgWYBbUFzQXiBfgGEQYtBkkGYwZ/BqQGzwb1Bw4HIAcxBz8HQwc8BzMHMAcwBzEHMQcwBzAHMQcwByoHHAcOBwcHBAcBBvsG9gbwBucG3AbTBssGwwa7BrgGuAa0BqwGqgayBrkGtwayBrQGtga0BrIGuQbFBswGzAbHBr8GsQalBpQGfQZaBjMGEwXyBcAFgQVGBRUE6AS6BJAEawRDBBsD+wPmA9EDtgOcA4gDdgNhA0wDOQMkAwwC+wLxAuoC4gLeAuAC3gLUAsgCuwKgAm4CKQHtAdcB9AIyAl4CSwIBAbkBngGlAa0BpwGZAYMBYAE2ARQA/QDnAMoApQB5AEoAHv/0/7//cf8T/rX+Xv4S/dD9lf1U/Qb8wfyZ/IT8Zfwz+/r7yPuX+2T7M/sF+tr6tPqb+oP6Wvoj+ff54fnX+cr5vPmu+Z75jvmE+YP5iPmV+af5sPmm+aD5vPnu+g36G/pG+qH66PrQ+mj6DfoD+jr6cvp/+mT6RvpC+kr6Jvm4+Sr4wPiV+IT4aPhC+CX4Ifg++Hj4q/ir+H34W/hw+Kj41/jw+QX5CvjQ+D/3kfcd9vT2yfZG9X302fSe9JP0T/O38xfyuPKN8lzyCfGp8VfxGfDl8LXwiPBf8EDwLPAZ7/3v3e/B77Dvre+u76jvlO9572LvT+8/7zfvOO8y7xju/+8D7x3vK+8k7yXvO+9M70vvUu9z75Dvj++I75vvru+d74Dvlu/Y7+zvou9B7yfvXe+h78vv5e/57/3v7u/d78vvme8y7qfuHe2q7Uvs+eyx7G/sMuv367rrdesu6u3qt+qC6kbqBenB6X7pO+j76MLoiuhK5//nsOdm5yTm5Oaj5mbmM+YH5drlpOVp5TDk/eTK5JTkX+Qx5A/j9+PZ46fjYOMT4sfid+Ib4bnhW+ED4LLgbOA54CLgJOA14D/gJ9/s36LfWd8B3oTd8t163TjdG9z93NfcstyV3H3cZ9xb3FncWNxT3E3cRdw43CHb/dvU27Dbn9ul27PbuNuz27Hbwdvr3DDchtzf3S7ddt3C3gneL94i3fnd5d4C3kfel97g3ybfd9/f4Frg1eE/4ZHh0+IQ4lLin+L4413jzORE5MPlReW85hvmYeac5t7nL+eL5/HoYuje6Vjpx+oz6qrrM+vB7E7s2+1i7dTuLO5/7t/vTu/J8GDxHPHY8mLyt/MV86/0avUN9Yf1//aR9zH3wvgz+IP4t/jP+Mn4rPiY+MX5Vfoq+vr7lvwP/If9BP15/ef+cP89AF0BswL6A+4EfgTYBSsFfAW8BfIGOwagBwgHXwevCAUIXgisCO8JMQl1CbkKAQpOCpIKwArgCwgLRwuYC+YMJAxbDJgM4w00DYINzQ4aDnAOxw8bD24PwRAQEFwQqRD7EUYRexGbEbsR7RIqElMSVxJHEkgSZxKVEsUTFBOkFGMVARU5FRUU3xTJFNMU8BUrFY8WARZQFmwWbRZnFksWDRXMFbYVyxXiFeAV3xX9FjEWVBZiFncWnBa6FrcWoxaaFqMWoxaGFlMWHhXwFcsVtBW3FbgVahSDExURqRDbEOcRhxJRExYT7BT0FhUW8RcpFsAWRBZuF3kY6hoBGmEaQhoYGiQaYBqoGukbIhtNG1gbPBsVGw4bNBtwG6wb+RxoHOkdUh2aHd4eRh7lH68gcSDlIOwgqyBlIC4f5B9zHvgelh5KHfUdghzsHDgbgBruGp8ajxqrGu8bZBwDHLcdYx3uHk8ekB7MHwwfQx9mH4Mfrx/gH/Yf3h+gH1kfLh8jHv0eUhzpGwMZKxe1FpMVtxVjFe4XPxiuGX8ZeBj/GK4Y1hlPGb8Z8hnwGdgZshl4GSsY2RiQGE8YGRf1F+MX0RetF3QXMBbwFrQWdBYyFfMVvBWCFUAU9RSrFGcUKhP0E8QTkxNeEycS9hLEEocSRBIJEd0RshF7EUIRFhD7EOIQwBCYEHQQVhA7EB0P+w/XD7YPlQ9qDzAO7w6yDoAOUQ4eDeYNsQ2JDW0NVQ07DR4NAQzlDMYMogx7DFQMKgv2C7gLgAtkC2cLbQtWCx0K4grFCroKnwpmCikKBwn/CfYJ2QmuCYQJXwk8CRUI5wi3CJAIdghkCFEIOAgcCAIH6QfSB74HpgeGB2YHVgdaB2QHXQdCByIHCwb/BvkHAgcgB0IHSQcrBwIG5gbSBrQGkgaCBocGjAaEBn0GhAaRBpEGiwaNBpoGpAanBqcGpQaaBowGigaSBpUGjQaNBqEGtwayBpAGbgZoBncGewZdBiQF8AXWBc8FxAWuBZ0FmgWdBZcFiAV5BW0FXwVPBT0FKwUaBQwFBwUHBQYE/gT1BOwE5wTkBOQE4wTcBM4EwQS3BLAEpwShBKMErASvBKAEfgRWBDsENAQ9BEUEQgQ1BCQEEwQEA/QD4gPPA7oDogOIA2sDUAM3AyQDFwMQAwoC/ALjAsECnQJ8AmECTgI/Ai8CGAH9AeIByQGuAZIBeQFmAVgBSAEzARgA/ADgAMYAqwCOAHIAVgA8ACIACf/y/9r/v/+i/4T/Zf9E/yP/A/7j/sH+nv58/lr+Nv4T/fT92f3A/af9kf19/Wj9UP03/SH9C/zy/Nj8u/ye/Ib8c/xi/E/8OPwf/An78/vf+8/7wvuw+5X7dvtc+0v7Pvsw+x37B/ru+tn6yfq9+q/6m/qG+nL6Zvpe+lj6TfpA+jX6L/oq+iH6FPoF+ff56fnb+c75wvmz+aT5lfmH+Xz5dvl0+XX5dPlz+Xf5fvmD+YL5ffl7+Xv5ffl++YH5iPmR+Zn5n/ml+av5svm6+cX50vne+eb56vnv+fr6DPof+jH6QfpR+mD6avpx+nf6fvqF+or6jfqS+pf6mvqc+p/6p/qv+rT6t/q3+rT6r/qs+qz6q/qn+qH6n/qe+pv6lvqT+o/6ifqD+oD6f/p/+oH6g/qB+nb6bPps+nP6d/p5+n/6hvqH+ob6ivqS+pH6ifqG+o76lvqY+pr6ofqn+qn6rfq5+sb6zfrU+uD67/r6+wf7Gfss+zr7Sftd+3P7hvuZ+7L7z/vp/AP8Ifw//Fj8c/yU/Lj83P0E/TD9WP17/af93/4V/j7+Zv6a/s/+9/8d/03/gP+p/9QADAA8AFAAUQBC//7/fv89/+IBeAM8BGME4AUwBbYGfAdbCAUICQcoBcYEqwROBHcEoQSLBEoEEAP9BBUERgR1BKME5gVKBbUGFAZxBtoHQAeHB7IH2QgCCCIILggzCD4IUAhjCG8IaQhJCA8H0AeoB6AHpgeTB1IG7gaHBjIF6wWoBWgFKQTlBJ0EVgQZA98DnQNKAuECXwHIASsAlgAQ/5n/N/7u/rv+k/50/l7+S/4x/gj92P2w/Zf9gP1S/QX8qvxc/B372/uM+zz6+frB+oj6TfoS+db5l/lW+RL4yfh++EP4Jvgg+Bv4Cffv99P3ufem95r3kfeG93z3ePd292/3YvdW90r3PPci9vf2uvZ49k/2T/Zn9nL2ZPZT9kz2Q/Yk9fH1uvWR9X/1i/Ww9dr19fYE9h32UPaW9tf3BPch9z/3Z/eU97z35Pgf+Hn46PlW+bP5+vo2+nj6zfsu+4T7wfv4/Dv8hPy4/ND83/z1/Q39H/0z/U79Zv11/Yj9rv3P/b/9c/0U/NP8uvy1/LX8vvzQ/OD86/z6/RP9K/08/Uz9Zv2H/aX9vv3b/fv+Ev4b/hz+Iv4s/jr+Sv5e/nT+jP6k/r7+3f8D/yv/TP9h/3H/hf+f/7n/0f/sAAsALABQAHoAqQDUAPYBFAE4AWMBjwG7AeYCEQI8AmgCmwLRAwgDPANvA6ID0gQABCwEWASFBK8E2AUDBSwFUAVvBYwFqQXEBd0F9wYUBjIGTwZsBo4GtAbTBucG9wcLByAHLgcyBzIHMgcxBy8HLAcqBygHJgciBxsHDwcCBvkG8gbqBuMG3gbZBtAGwwa1BqoGoQaaBpgGlAaIBnoGdQZ6Bn4GewZ4BnkGfQaDBpEGqAa8BsYGygbMBsYGtwakBpAGbAY/BhsGBwXvBbcFagUjBPEEyQShBHoEUQQhA/MD2QPRA8UDqQOLA3gDaQNWA0EDLgMZAwAC6wLjAuIC3QLXAtYC2gLdAuQC7ALqAtACnQJhAjYCNQJfApgCrwKOAk0CEQHrAdUBxwG6AaQBgAFaAT8BMAElARcBAwDhAKsAagAr/+//sP9w/y/+6/6b/kP97P2Z/VD9Gvz+/Or8yPyU/F/8L/wA+8v7lfth+y77BPrm+sn6nPpj+jL6Evn4+eL52fne+d/5zvm3+ar5rvm6+cb5xvm4+az5vPnl+g36KvpW+pX6wPqp+lr6EvoF+jH6bfqQ+or6cvpo+mj6Q/nb+U/42/ic+ID4bvha+ET4NvhG+Hb4mfiA+EH4J/hc+LX47fj6+P/4+/jA+DT3iPcJ9sX2dPXb9SH0p/SQ9JD0QvOm8xDyufKF8kHx4/GJ8UbxFfDs8MXwnvB48FrwRvA08Bvv+u/d78zvxe/A77Pvnu+L74Pvfu9072rvZu9f70zvOO8370XvTO9L71bvbe9373Lve++d77bvtu+/7+Tv8u+974HvoPAN8ETv8u9f7wTvBu8172nvne/E78rvve+/787vvu9u7vTud+4I7aPtSez67LPscew26/7rvutz6yvq8erA6orqRun96bXpcuk56QTozOiJ6Dzn7+eq52jnJebj5qfmceY+5grl1eWi5W/lO+UH5NPkpOR95F7kQ+Qe4+bjnuNU4wviu+Jf4f3hneFF4Pbgt+CV4JbgtuDb4N7gpeBF3+bfkd8p3preCd2q3YHdZd043Qbc49zL3LHcl9yM3IzcjNyG3IHcedxo3EzcKNwE2+jb3dvj2+3b7tvp2+3cAdwl3F3cqNz73Ufdjd3W3hbeM94h3fzd894c3mjevd8M31rfseAb4JPhB+Fn4bTh9uI04nTivuMW43nj4+RV5NDlUeXJ5i3meOa15vLnN+eJ5+XoUejN6VDpyuo86rfrP+vG7D3spu0Q7Xzt3+477p3vDe+V8EHxCvHC8jzyiPLr8430SfTh9U71vPZJ9uX3dffr+Er4lfjP+PH47/jQ+Mn5Fvm++oz7S/vu/Hn83v0P/R79S/3a/u4AbwIJA1QEHgSKBN8FPgWWBd4GKAaEBukHQweWB+sIQQiKCMgJBwlOCZkJ4gooCmkKoQrTCwgLRwuOC9EMDAxADHgMtwz/DUoNlA3dDicOcw7DDxoPeA/WEC4QdxC0EOgRGRFIEXYRpxHaEgkSMhJYEoESqBLBEtES/RNrFAkUkhTJFLIUfBROFDYURxSYFSEVqRX3FgMV9BXpFd8V1RXaFfoWGRYQFeYVyhXdFggWIRYiFikWRRZlFnQWdxaDFpQWjxZjFiQV8RXMFZ0VYBU3FS4U+BQZEnkQqw+FD3AQJxEsEkATdhTdFjQXABbtFjcVpBX0FzsY0BntGk0aOBoZGikaahrEGx0bZRuRG5kbeRtFGyMbKRtLG3Ubrhv+HFwctR0LHXId9x6dH1wgHCCuIO4g7CDWIMIgpCBwIC8f6B+THzIeyh5HHXscYBs8GmkaCBn6Ghwabxr8G7ocgh0tHa4eGB6FHvEfPB9aH3Ifpx/sIBUgDB/sH88frh9mHrwdfBujGYkXuxaOFe4VnBWbFjEXdBj0GfYaBhlfGLYYlxkDGY4Z3BneGbgZghk/GPEYphhpGDoYFhgBF/kX8BfUF58XYRcpFvQWthZvFiwV9hXBFYIVOhT0FLEUbxQwE/YTvROAE0ITDhLiErISehJCEhIR5RGwEXgRRxEfEPsQ1xC1EJYQehBdEDsQEg/pD8YPpA96D0MPCQ7UDqQObw41Df0Nzw2uDZgNhw1yDVgNOg0cDPgM0AypDIcMZAw2DAQL3AvEC64LjAtZCyAK8grWCsAKoQpvCjgKEgoHCgcJ+wnVCaIJcwlRCTQJDgjgCLYIlgh9CGMIRwgrCA4H8AfSB7sHpweRB3gHYgdSB0cHQQdBB0IHNgccBwEG+AcCBw8HDAb7BuoG3AbJBrEGoQahBqcGoQaPBogGkgadBpgGjgaSBqMGrwaxBrAGsgavBqMGlQaJBnwGcgZ5BpQGrgapBoMGXQZTBmMGawZSBh4F7gXXBc8FwgWrBZoFlwWXBZEFhQV5BWwFVwU9BSYFEwUDBPUE7gTvBPAE6wTgBNQEzwTUBOAE4wTSBLUEnASPBIgEfQR1BHcEgQSKBIcEcwRQBC0EFwQXBCAEIAQTBAAD8wPoA9gDwAOmA44DdANXAzgDHwMKAvcC5gLcAtYCzwK+AqUChwJqAlICPwIwAiACCwHyAdYBuQGbAX4BZwFUAUQBMwEfAQcA7ADUAL4AqQCSAHkAYQBHACwAEf/1/9n/u/+d/4H/Zf9H/yX/Av7h/sH+ov6E/mb+RP4g/fz93P3A/ab9j/16/WT9Tv04/SP9Dfz2/N38w/yn/I/8fPxt/Fz8R/wy/B78Cfv0++L70/u/+6P7hPtq+1f7SPs4+yX7Dvr2+uL60/rH+rn6pvqR+nz6bfpn+mT6X/pW+k36R/pA+jf6Kvod+hD6A/n3+ev53/nS+cT5tvmp+Z35lfmT+ZP5kPmM+ZD5mvmi+aL5nfma+Zz5nvme+Z/5pfmv+bj5wPnH+c350/nZ+eL57Pn4+gP6DPoV+iP6NfpH+lb6Y/px+oD6jfqU+pj6nvql+qj6qvqt+rP6ufq9+sD6xfrK+s/60frQ+sz6x/rE+sT6wvq7+rX6tfq2+rX6r/qo+p/6lfqM+oT6fvp6+n36hfqI+oD6dvp1+nz6gfqC+oX6ifqJ+of6jPqU+pP6ivqH+o76lvqW+pf6nfql+qj6rPq2+sH6x/rO+tv66fry+v77EPsl+zX7QvtV+2r7fPuO+6b7wvvd+/n8F/w0/E38aPyI/K380fz4/SP9Tf1z/aH91v4I/i7+VP6F/rn+5v8S/0T/df+g/84AAgAmADAANQAy//H/Z/8W/7ABQgMEBCUEiwStBQIFwgbnCAoIbQecBgsEywR9BNgFJQUNBLEEWAQoBCgESQR2BKoE8gVSBbQGCwZjBswHLgdtB4sHqwfeCBYIPwhZCGwIfAiGCIwIjQh/CFcIIQf2B+kH6AfOB4YHIQbBBnYGMgXpBZ4FWQUXBNMEkARQBA4DwANhAvQCegH4AXQA7wBr/+7/hv85/wT+3/7F/q7+jv5f/iT96f20/Yr9Z/0+/QX8vfx0/Cv72vuF+z77Evr1+tH6n/po+jL5+fm5+W35GPjB+Hz4UPgz+Bj3+/fg98v3t/en9533lfeK9373ePd293H3aPdd90/3PPcj9wL21fai9nv2b/Zw9mL2RfYu9i32MPYh9f711PWu9ZX1lPWv9db1+PYW9j/2d/az9uT3Cvcr9073dfeY97b32PgT+HL45/la+bv6CPpJ+o363vs2+3/7svvg/B78Z/yh/MX84f0B/SD9OP1R/XP9lf2t/cj98v4W/gf9sf1A/Or8xvzB/MX8zfzY/N/85Pzv/QT9Gv0q/Tr9U/1x/Yn9m/2v/cv95f3x/fT9+P4B/g/+If42/k/+af6A/pf+tP7a/wP/KP9C/1f/b/+L/6f/wf/c//oAHABCAG0AmgDDAOYBBwEtAVUBfwGnAdEB+wIjAk0CfQK0Au0DIwNXA4sDvwPyBCQEVASCBKwE0gT1BRcFNgVTBW8FjgWtBcgF4QX7BhkGNwZTBm8GjQamBrsGzwbrBwsHJwc3BzwHOQcwByUHHQcZBxgHFQcQBwkHAQb3BuwG4AbSBscGvwa4BqwGnQaOBoMGegZ1BnEGZwZVBkUGQAZCBkUGRQZJBlMGYAZwBosGqgbABskG0QbYBtUGwwaqBoYGWQYlBgcGAgXuBakFSAT5BM4EsASPBGsEQgQOA9sDwAO/A7gDnAN7A2kDXQNKAzIDHQMKAvMC3wLYAtoC2QLTAtAC1ALcAugC+AMGAwYC8QLMAqcCmQK0AvIDKQMwAv8CrgJgAicCAwHpAcsBqAGJAXgBcAFpAWEBVgE7AQMAuABuADD//f/S/6n/cv8g/rf+S/3v/av9f/1j/UX9Gfzk/LX8j/xo/Dj8BPvO+5v7cftS+y769Pqr+mr6O/oW+fr59PoF+hL6B/nt+dr51/nc+eH53vnU+cn5y/nh+gf6OPpz+qz6w/qo+mv6M/oe+jf6bvqh+rH6nvqF+nD6Q/nm+Wn49/is+Ij4fvh/+Hf4Zfhh+HL4ePhQ+BP4CfhN+Kf43Pjo+O/46/iv+Cr3ivcH9qX2MPWO9O/0lfSB9Gf0B/N78wjyw/KE8ijxv/Fu8T7xHvD98NrwtfCT8HnwafBY8D3wG+/+7+rv3e/S78bvt++r76bvoO+T74Xvhu+Q75PviO9773Tvcu9675Lvq++v76bvsO/N797v3u/x8BzwHO/P74zvwvBV8KfwXO+57z3vFO8g70Tvbu9+72fvUu9u76Pvq+9n7wHupu5X7gHtp+1T7QTst+x17EDsBuu8627rMesB6srqguoz6evprel56UbpDOjG6HroNOf057Tnbuco5unmr+Z25j/mD+Xi5bHle+VI5Rzk9uTS5K/kiuRe5Cjj6eOk41fi/uKc4jnh3eGI4T/hC+D24QXhMuFg4WThI+C24Eff3t9a3rjeK93k3c/dsd113T3dIN0Q3Pbc29zQ3NDcy9zD3LzctNyg3IHcYtxH3DPcLNw03D3cPNw33D7cVNx03KLc5N0v3XTdr93p3hzeM94n3hXeH95O3pTe4N8s33/f4OBU4NHhQuGa4d/iHeJY4pXi2uMu44/j+ORq5OjlbOXp5lXmqObl5xXnSeeM5+DoRei86T7pvOo16rbrRuvP7DbsfuzJ7Sztne4I7mzu2e9l8Bzw6PGW8gTyT/K982j0HfSk9QP1bvX89pb3H/eY+Ar4dfjT+Rf5M/ki+Qj5H/mD+iL63PuY/D78pPy2/JL8g/zW/bf/JQDcAmgDcQP+BFwEyQVDBa8GDAZqBswHJgd3B8cIGQhlCKcI6AkwCXoJvwn9CjsKfArACwELPAt0C6wL5wwiDFgMjgzKDRENWw2jDecOLQ57DtEPLw+QD+sQMhBkEI0QwBD/ETwRahGPEb0R/hJJEocSqhKzErgS1RMcE4AT5hQxFEwUMBPoE6IToRQGFKUVLxVxFXgVaRVaFVEVYBWeFfgWNRYtFfUVyRXKFeAV6BXdFdQV3BXyFgsWJBY7FkUWLxX8FcYVphWUFWYVFhTTFMAUkRO3Ef8P+w6aDlsPDBAyEY0TGhS+FhUWpRZOFYkVLhXSF0kY1RnRGigaKxooGj8adhrKGywbghu9G9cbyxugG3EbWhtjG4AbqxvgHBkcVRyhHQgdgx4GHpcfOB/WIE8gmiDJIOQg6CDZIMAgmCBYIA4f0x+GHtYdpBw8Gxwaexo3GiMaPRqXGygbxhxQHMsdWh4NHr4fMR9aH3MftCAOIEQgRSAwIBcfyx8IHbAb3xnYF/UWixXCFXsVexWzFlsXnxk5GngaxBopGUwY1hjuGUUZghmJGW0ZOxj0GKMYWhglGAIX7hfsF/UX9RfcF6gXbxdAFxQW3BaYFlYWHhXpFa0VbhU0FPoUuBRyFDMT+RO6E3QTMxL/EtQSqRJ6EkkSFRHiEbARfxFNESAQ/hDkEMgQpRCAEFoQMhAID+APuA+KD1YPIw71DsYOkQ5dDjEODQ3sDdENuQ2fDX0NWQ03DRIM6AzBDKIMhAxmDFEMSgw6DAULsAtfCzMLHwsHCt8Krgp9CkwKJgoZCiQKKAoHCccJhgldCUUJKQkDCNsIuAiXCHQIVQg8CCIIAQffB8QHrweaB4IHaAdMBzgHOQdSB2sHYwc2BwQG7gbzBvwG/Ab4BvMG5gbOBrgGtgbEBsgGtwaeBpMGmwagBpgGjQaRBqEGrgazBroGxQbKBr8GpQaEBmcGWQZkBoIGmgaUBnEGRgYtBigGJwYbBgQF8AXlBdkFxAWsBZ0FmAWSBYIFbgVeBU4FOAUeBQUE8QTeBNAEywTPBNME0gTJBMAEwATQBOQE5QTKBKEEhgR8BHYEagRfBF4EYgRkBGQEXwROBC8EEgQHBAoECAP1A94D0APFA7EDkQNwA1UDPAMhAwkC+QLtAt0CxgKxAqQCngKTAoECaQJRAjwCKwIdAg4B/AHlAckBqgGMAXIBXAFJATYBJAESAP4A5wDOALcAogCMAHYAYQBLADMAGf/+/9//vf+a/3v/Yv9H/yb/Af7d/r7+o/6K/m/+T/4q/gP93/2//aX9jv13/WD9Sv03/SP9Dvz4/OH8yPyt/JX8gfxy/GP8UvxB/C/8GvwE+/D73vvJ+677k/t7+2f7VvtF+zD7GPsA+u363vrQ+sD6rfqY+oT6c/pr+mr6aPph+ln6U/pN+kb6PPox+ib6GvoP+gX5+vnt+eD51vnL+cD5uPm1+bP5q/mj+aT5r/m6+b35u/m7+b/5wfnB+cL5xvnN+db53/no+e759Pn5+gD6CPoS+h36K/o6+kv6Xvpw+n36hvqQ+p36qvqy+rf6u/rA+sT6xPrG+s361frb+t/64/rn+un66frn+uP63vra+tj61frO+sj6xvrH+sX6wPq4+q76ovqW+oz6gvp7+n36hvqO+or6gfqA+ob6ivqK+ov6jfqM+ov6jvqU+pP6jPqJ+o76lfqU+pT6m/ql+qv6r/q2+r36wvrL+tr66Prw+vn7Cfsd+y77PPtO+2L7c/uF+537ufvU+/D8Dvwr/ET8XvyA/KX8yPzs/RX9Qv1t/Zr9yv33/h3+Rv53/qv+2P8G/zj/Zv+O/7z/7gAOABYAIAAp//L/Y/74/2kA2gKaA9QESARLBFsE4wYIB2AIBAdmBgQE/wT0BXgFxwWTBRsErARqBFcEbwSdBNAFCwVVBasGAgZgBsQHGAdGB1sHfwfGCBkIWgiACJMInAihCKcIrwiuCJkIdAhUCEgIPwgYB8cHZAcOBscGfAYjBcsFgQVBBQMExgSHBEAD5gN6AwgClgInAbUBOgC3ADv/1v+N/1n/M/8Z/wH+2/6e/lb+Ef3R/Zr9cP1N/SX87vyq/Fz8Avum+1z7Nfsj+wv63/qs+nv6SfoI+bL5Tvju+KL4cPhJ+CL3/ffh9833ufen95z3l/eQ94b3fvd693X3bfdj91b3Q/cq9w726vbB9p/2jfZ/9mP2PfYm9if2LPYf9gH13/XA9ar1pvW89eD2BPYu9mT2oPbR9vD3C/cv91n3gfee97j33Pga+Hf45/lb+cT6Hfpm+qr69PtA+337o/vG+//8TfyV/Mj87v0U/TX9S/1h/YD9o/3A/dv+AP4e/g/9wf1U/Pv80vzN/Nf84vzp/Oj84/zm/PT9Bv0W/ST9Of1T/Wj9dv2F/Zv9s/3C/cf9zP3X/en9/f4V/i/+R/5d/nL+jf6v/tT++P8X/zT/U/9z/5L/rv/K/+kADAAzAFwAhQCtANQA/AEjAUkBbgGXAcMB7gIUAjoCZgKbAtMDCQM7A24DpAPaBBEERwR6BKgEzwTwBQ8FKwVFBV8FewWXBbAFxQXbBfgGGAY2BlEGbQaIBqEGugbZBv4HIAc2BzwHNQcjBxEHBAcABwEHAQb9BvcG7wblBtUGwgavBqAGlAaIBngGaQZeBlcGUgZOBkcGOQYoBh4GIAYlBisGMwZEBlkGbQaCBp0GtgbEBssG1QbeBtgGwAalBnQGRgYQBfgF/QXmBY0FFwTFBKgEmQR9BFwEOAQIA9QDswOsA6UDigNqA1sDUgM+AyADCAL4AucC1gLQAtMC1QLSAtIC1QLaAuIC8QMFAxQDFgMNAv8C/gMeA2EDqQPJA6gDVALyAqACaAI/AhgB8AHQAb8BtwGzAbABqQGQAVkBDgDEAIcAWAA0ABP/5P+W/y7+xP5s/ir9+f3N/Z39Zf0t/QP85vzK/Kb8ePxE/A373/u5+4r7Qfro+pv6Zfo8+hv6D/ob+ir6JvoS+gH5+/n6+fn59vnw+ef53fnf+fr6M/qA+sP63/rU+rL6jvp1+nX6lfrA+tD6uPqO+mb6NPnh+Xb5EfjI+KD4mfim+LD4pviS+H74Xfgj9/L3+fg3+Hz4pvjD+N742/iV+BL3g/cK9pn2EvV39PL0pPR09C7zvfNI8vryyfKF8hvxsPFp8UjxMvEW8PPwzvCt8Jrwj/B/8GPwRfAv8B/wD/AA7/Lv4e/Q78HvsO+Y74Xviu+m777vve+m75Lvke+p783v5u/k79vv5u//8AnwB/Aa8DrwK+/h77nwCvCe8OHwl/AL76Lvb+9e72Tvbu9R7w/u7+8j73PvfO8y7t/ute6W7lvuB+2y7V3tBOy37H7sSewB67HrcOs+6wPqtupn6iTp7um76YbpSukE6Lzoeug+5//nuOdx5y/m8+a45oPmVOYn5fTlvuWQ5WzlSuUj5Pfky+Sg5HLkPeP746bjQOLY4nfiH+HM4YjhY+Fh4X7hruHd4ePhp+E64L/gO9+c3u3ead413ireBN293YLdbN1h3UndMd0p3SndIN0R3QrdAdzq3Mrcr9yb3IzchtyN3JXcktyM3JbcsdzU3P3dN9163bPd3t4F3irePt5A3kbeY96W3s/fDN9T36ngEuCP4RLhgeHR4gziQuJ74rXi9eNC45/kB+R+5QXlkuYU5oPm2OcS5zXnWeeQ597oPeiq6SPpnuoY6p7rOOvK7C7sZOyb7Pntde3u7lLus+8x79zwn/FH8bfyD/KO80Hz7fRg9LD1GfWw9k720/dL98z4VPjP+Sz5Xvln+Vj5U/l0+cj6UvsH+7/8O/xa/Df8Evwu/MP97/+UAUQChgM+A7AELATBBVEFzgZCBrMHEQdaB5sH5Ag0CIEIyQkQCVcJmQnVChAKTwqTCtQLCAs0C2YLpQvpDCgMYAydDOUNMA12DboOAw5SDqMO8w9GD5kP4xAYEEQQeBC7EP0RKhFIEXERtxILEkwSZxJsEngSlhK6EuETIROHE+YT+ROsE0wTQxOpFDkUnhTGFNYU3xTWFMAUyRUZFZcV+BYMFeoVxxW8FbkVqhWSFX4VdhV9FZQVsBXCFbsVmhVrFUEVLBUfFP0UvhSEFGQUGxMrEWwPaA4ADbQOYQ+dESMS0BRiFXAVsxVMFNQU+xYEF44Y6RmvGfkaGRo2GlUagBrEGxgbZBuZG7gbvhuiG3AbRhs9G1kbjxvLHAEcNRx3HMsdIB1rHbweLh66H0QfvSAgIGUggiCEIIYghiBzIFcgSSAxH78eyR2LHHEbqxslGs4atRrpG0gblxvAG+4cXx0iHfgejx7ZHxofjSAXIGkgYCAcH7Ee9B2rG+MZ9BhEFwgWPRXHFYMVXRVoFekXHBjaGn4bVBsnGmIZoxk6GRcZDhkIGPsY1RiTGEcYCBfZF7YXpBetF8cX1xfHF5sXaxdFFyAW7hauFmsWMBX3Fb0ViRVdFTIU+BSzFHEUNxP7E7cTbhMuEvsS1BKtEnwSQxINEd4RsBF8EUwRLxEdEQIQ1hCnEH8QWxAzEAYP1w+kD3EPQg8ZDuwOuw6QDnEOUw4yDhEN8w3PDaANcg1MDSsNBgzgDMAMnwyBDHgMiQyODFcL8QucC4ELgQtjCx0K0gqbCnEKTgpCClIKXwpCCfcJpQluCVIJOQkYCPQI1AixCIwIawhRCDYIFAfzB9kHxQeuB5QHeQdcB0YHSgduB5EHhgdJBwkG8Ab/BxUHIgcnByMHCwblBsoGyQbYBtoGxQapBpoGmQaaBpQGjgaRBpoGpQaxBsEG1AbdBtIGsAaDBlwGSgZSBmkGegZ2Bl4GOQYTBfUF5QXlBe0F9AXvBdwFwQWrBaIFngWRBXUFUwU2BR8FCQTzBN4EyQS2BKkEpgSrBLIEtASvBKoErQS/BNMEzwSuBIcEdAR0BHEEZARXBFMETgREBD8EQwRDBDEEEwP/A/oD8gPbA74DqgOcA4UDYQM9AyEDCwL2AuQC2gLTAsQCqAKKAnQCagJjAlYCRAIwAh4CEAIDAfYB5gHSAbgBnAGDAW0BWgFGATEBHgEOAPoA4ADBAKQAiwB0AF8ATQA/AC8AHQAH/+v/x/+f/33/Yv9J/yr/BP7e/r7+pP6M/nL+Uv4t/gb94f2//aP9iv1z/Vv9Rf0y/R/9C/z4/OP8y/yw/Jf8gvxx/GL8VPxG/Db8IvwN+/n75vvQ+7n7ofuM+3r7aPtV+z77JPsN+vz67frb+sb6sfqf+o36ffpz+m/6bPpl+lv6VfpR+k36R/o++jT6K/oj+hr6DvoC+fn59Pnt+eP53Pna+db5y/m++bv5xfnQ+db51/nZ+d354Pnh+eL55vns+fT5/foG+g76E/oY+h76Jfou+jn6SPpZ+m76g/qW+qT6q/qx+rv6xvrP+tT61/rb+t763/rh+uf67/r2+vv7APsE+wT7Afr++vn68/rt+uj65frg+tr61frQ+sz6x/rB+rn6rfqh+pf6j/qI+of6jvqU+pP6jvqO+pL6lvqV+pP6lPqT+pH6k/qX+pf6kfqO+pH6lfqV+pb6nfqm+q36svq4+r36wPrJ+tj65/rw+vj7BvsY+yf7NftH+1r7a/t9+5b7svvN++j8Bfwh/Dr8Vvx6/KD8wPzh/Qj9Nv1i/Yz9uf3k/g7+Pf5x/qL+y/73/yf/U/94/6P/1v/5AAMADQAY/+n/YP7l/ywAcwItA4oEIwQgA/cENQUlBmwHKgbYBfEFdAXHBmEGjQYtBZsFIgTTBKwEsATQBPMFGAVOBZ4F/AZfBrkG/AceBzQHZAe5CBwIaAiSCKUIrwi6CMcI1QjaCM4ItwimCKAIkghiCA4HsAdhBxcGvQZUBfMFqQVtBTME9wS4BG0EDAOcAysCwwJdAe8BdQD1AIMAMP/2/8n/n/97/1f/I/7a/on+Qf4D/cr9nP15/VX9I/zj/Jj8Qvvn+5n7avtS+zX7B/rS+qL6cfou+dL5afkI+L74i/hf+DP4DPfw99z3x/ez96b3oPea95T3j/eJ94H3d/du92P3Uvc79x/2/PbW9rf2qPad9oP2YPZK9kX2PvYm9gX16vXW9cn1zPXj9gX2J/ZQ9oz2zPb39wr3F/c09133gfee97336/gv+Ib46/lY+cj6LvqD+sr7D/tR+4H7mfuy++r8Q/yd/Nz9BP0j/T79VP1t/Y79tP3S/ej+AP4S/gf9y/1s/Q/81/zH/NL84/zt/Oz85Pze/OL87vz8/Qn9GP0r/T/9T/1e/XD9g/2R/Zj9n/2s/cD92f3z/gz+I/43/k3+af6K/qr+yv7q/wz/MP9V/3n/mf+3/9b/+QAfAEMAZwCPALwA6QERATMBVgGAAa4B2QH/AiQCUAKGAsIC/AMxA2IDlQPJA/4EMwRmBJQEugTZBPUFEgUuBUcFYAV6BZEFpAW5BdcF+wYfBj8GXAZ6BpYGrwbLBuwHDgclBysHIgcQBvwG7QbnBucG5gbhBtcGzAa9BqgGkAZ8Bm8GYwZUBkYGPAY6BjoGOQY0BioGHAYRBhEGGwYnBjIGRAZeBngGjAaeBrAGvAa+BsAGygbPBr8GpAaNBmkGPgYFBe8F+QXcBXAE6gSbBIwEhgRnBEEEIgP/A9EDrQOgA5YDfQNhA1MDSwM1AxMC+ALqAt0CzwLIAsoCzgLRAtQC1wLYAtoC5wL9AxIDHgMnAzUDUAODA80EGAQ/BCkD4AOBAysC6wK7Ao8CXgIvAg0B/AH8AgUCBgHtAbYBbwEqAO4AvACUAHMARwAC/6v/Vf8J/sP+ff44/fX9tf19/VL9NP0d/QX85Pyy/HL8Mvv4+7n7Z/sM+sP6lfpy+k76M/or+jD6L/ol+hz6Gvoa+hX6Cfn5+ej52vnU+eT6GPpq+sD6+/sX+x/7FPr3+tv61/rl+uD6uvqJ+mP6Ovn1+Zj5Pfj6+NP4yPjU+OL44fjK+Jv4V/gN9+X39Pgi+Ev4bfic+Mr4wfho9+X3avcA9ov1//V19Qv0v/Rx9AjzkPMt8vTyy/KH8iHxvPF78VvxR/Eu8Q7w6PDK8LrwsvCi8InwdPBq8GHwTfAz8Bnv/+/l78/vvO+j74zvjO+p78jvy++176PvsO/X8ADwEvAM8AfwGPAy8DzwPPBI8FXwO/AI8AjwX/DA8MTwbvAX7+vvzu+u75vviu9M7uzux+8K713vT+7v7qzute7K7qnuXu4L7bXtVOz77L7siexD6/LrsOt76zzq7Oqh6mbqNeoB6cfpielG6QDov+iE6EboAee853znQOcG5tDmn+Zu5jrmCOXg5b3ll+Vo5TnlD+Tq5MPkk+RP4/HjhOMb4sDiaeIS4c/hu+HW4gbiN+Jb4lviIuGz4Srgk9/n3zvexN6Z3oveW94N3dLdv92z3Zvdhd2D3YXdeN1n3WDdWt1D3SPdCtz63O3c5dzq3PDc7Nzn3PTdFd063WHdlN3Q3gTeKN5G3mLedd6B3pbevt7t3xzfUN+V3+zgVODO4UzhtuH84iziX+KZ4tXjFeNd47LkF+SV5Svlw+ZH5q/m/ecw50rnYOeL59ToMOiY6Qjpeunv6nTrEOur7BrsV+yN7OntZ+3i7kLule7875DwQ/Ds8Wvx1/Jj8xnzwvQp9Gv0z/Vt9hb2n/cU95z4O/jP+Tr5dvmR+ZX5ivl9+Yv51vpp+x77tPv+/AL76Pvh/Cz9Bv5wABEBbwJXAvkDmARDBOYFewYNBpoHBwdHB3EHpwfyCEQIjQjOCRAJVgmXCdEKCgpFCoMKuQroCxgLUwuYC+AMJgxtDLcM/w1EDYsN3A4xDn0Ovw8BD0wPmQ/dEBQQRxCBELwQ7RETET0RfBHJEgUSHRInEkISZhJyEmcSghLsE3MTrRN1EyMTJROAE98UBxQXFEAUdRR/FFgUQRR4FOoVUxWFFYsViBWEFXQVWBU8FSkVHhUfFSwVPBU+FSsVChTlFMEUoxSRFIYUcxRTFBoTkxJxELMO2w2mDXsOOg+CEQQSgxO4FGQUghRjFH8VNRZ7F+UY+RmOGdUaDBo/GmgakhrPGxQbRhtiG3kbihuEG18bMRsgGzsbeRvDHAMcOxx2HLIc4Bz8HSEdaR3NHjserB8fH4Afth/NH+cgDSAoIC8gNCAyH/0fdB6tHdcdABwqG38bPhtxG8gb4BufG0wbRhuwHFEc3R1HHcYegh9NH8UfsB8kHkcdHRuhGfsYjBegFzYXBhbCFkgVqRUjFRwV8RekGa0bPRvTG4QawRn0GVMY8RjCGKIYaxgcF9cXqReDF1oXQBdMF3UXmBebF4YXahdSFzUXBxbJFoQWQhYGFc4VoRWAFWAVNBT4FLMUchQ2E/oTuBNyEzMTBRLhErUSfBJDEhUR6RG1EYQRZRFTETYRBRDSEKkQhRBcEC0P/A/ID5QPaA9CDxkO7A7GDqcOiA5lDkQOJw3/DcgNkg1sDVANMA0PDO8MxQySDHcMhwyhDIkMOwv4C+sL7wvGC2oLDQrSCq0Kiwp4CoEKjQp0CiwJ1QmVCW4JTQkmCQEI4gjGCKYIhwhoCEYIIQgDB/EH4QfLB7EHmQd+B2EHWAdyB5QHjQdSBxIG/gcWBzcHTAdTB0sHLQcABtwG0QbWBtQGxQawBp8GkwaNBo4GkgaUBpcGnwawBsUG1gbcBtEGsgaGBl0GRgZDBkoGUAZRBksGNwYSBecFzQXQBeEF6wXeBcQFqgWdBZkFkwWBBWEFOgUWBPkE5QTWBMYEsgSdBJAEjASOBJQEmQSZBJQEkQSZBKMEmwR7BF0EVwRfBGAEUgRGBEEEOQQmBBkEIAQsBCQEBwPtA+ED2APDA6UDiwN5A2IDQAMbAv4C6ALWAsYCuQKtApsCfwJfAkUCNgIvAicCGgIJAfkB7QHjAdoBzAG5AaQBjwF8AWsBWgFGATEBHQEIAO4AzgCsAI8AdwBhAE4APwA0ACwAIQAQ//b/1P+s/4f/av9P/zH/DP7l/sL+pv6M/m/+Tv4q/gb94/3B/aP9iP1w/Vf9P/0p/RX9A/zy/OD8yvyx/Jj8g/xx/GH8U/xG/Df8JPwP+/z76fvV+8D7rPua+4n7ePtk+0v7Mfsb+wz6/fro+s76t/qm+pj6i/qA+nr6dPpp+l/6WPpW+lL6TPpD+jv6NPov+ij6HfoS+g36DPoJ+gH5+/n7+fn57/ni+d355Pnt+fH58vn0+ff5+fn7+f/6BfoM+hP6G/ol+i76M/o2+jv6QvpM+ln6aPp6+o76pPq4+sf60PrV+tz65frt+vL69fr5+vz6/vr/+wP7CfsP+xb7HPsf+x37F/sT+w/7CPr/+vj69frz+u765vre+tb60PrK+sL6t/qr+qP6oPqd+pv6m/qc+pz6mvqa+p76ofqg+p76nfqb+pn6mvqc+p36mfqW+pb6l/qY+pv6oPqn+q36s/q5+r76wvrJ+tf65frw+vr7CPsW+yP7MPtB+1P7ZPt4+5L7rvvI++D7/PwX/DL8UPx1/Jr8uvza/QL9Lf1W/X/9rP3Y/gT+NP5p/pj+vv7m/xf/RP9n/4//wv/r//n//QAA/9X/W/7i/wwAKQHTA0oECgQTA9ED3gSWBbUGgAaIBjUGQAbSB1oHTga/BhYFkgUzBPQE4ATsBQUFJQVcBbEGEwZwBrwG8AcPBysHYAeyCA4IWwiNCK0IxAjcCPUJCAkLCPwI5gjZCNgIzAifCFAH+AenB1QG7waABh8F2AWdBWAFIQTeBI4ELAPCA14C/wKbAikBrgE4ANgAmgBzAFAAJv/z/7T/Yf8A/qj+af49/hP96P3A/Zb9Yv0j/N/8lPxB+/D7tPuK+177JPrk+qr6cfos+dX5dPkd+Nr4pvh4+En4IPgE9+/32/fI97n3rvem96H3nfeZ94/3g/d592/3X/dK9zH3EPbr9s/2xvbH9r72qfaS9n/2YvY99hv2CPX89fP1+vYV9jn2WPZ79rL28fcb9yf3Kvc791r3eveZ98H3+vhE+Jn49fld+c/6Pvqa+uT7Jvtg+4T7kPuh+9r8Pfyk/Ov9Df0e/TH9Tf11/ab91v35/gv+E/4Y/hD95f2R/Sr81vyx/Lf8zPzd/OH83fzW/NL81vzg/Ov89v0D/RT9J/05/Ur9Wv1m/W/9d/2D/Zb9r/3L/eb9/f4T/i3+TP5t/or+pf7C/uT/CP8w/1j/f/+g/77/4AADACUARwBwAKEA0gD4ARkBPAFoAZQBuwHeAgQCNQJyArYC+QMzA2QDkwPEA/UEIgRNBHQElASuBMcE5gUHBSYFQQVcBXYFjQWkBcQF7AYUBjUGUQZtBocGnQa0BtIG8gcHBwoHAQb0BuUG1gbMBsYGwAa1BqYGlgaEBm8GWgZMBkQGPQYzBisGLAYzBjgGNwYvBiQGFwYQBhYGJgY2BkYGWgZ0BosGmgamBrAGsQarBqsGtAaxBpgGfQZ1Bm0GPgX8BeEF6wXLBVgEzwSFBH4EdQRJBBYD+QPlA8YDqAObA5IDfQNjA1QDSQMyAxAC9ALlAtgCygLCAsQCyQLOAtEC0wLQAtEC3wL3Aw4DHQMwA1MDigPTBCMEaQSOBIEESQP5A6sDbgM/AxMC2gKWAlkCOgJBAlsCaAJRAhgB1AGUAVkBIwD1AM8ApABpACX/4/+i/1T+9/6a/kz+D/3Z/af9ff1h/VD9PP0R/Mf8b/wY+8X7cvsl+u/60fq4+pb6b/pU+kj6RPpD+kX6S/pM+jz6F/nr+cv5v/nB+c759/pH+q77Eftd+4r7jvtq+zT7D/r8+uL6s/qJ+nT6Yfou+dr5g/lE+SD5EfkS+RX5Dvjy+Ln4Z/gW9+739/gR+CL4PPhx+Jv4f/ga96T3Q/bj9mb12vVp9Rv01vR79ArzmvNB8wXy0fKM8jHx1vGS8WvxVPFA8SjxCfDs8Nrwz/C+8KnwnPCZ8I/wcvBK8CTwAu/m79Tvye+375zvkO+j78Pv0e/N78/v6/AV8DXwPPA18DjwTfBn8HfwgvCM8ITwXvA/8FzwoPCy8GjwDe/28BHwDu/j78Hvqu9l7v7u2e8d72DvMu697obutO7s7uDuou5a7gjtou1C7QDsy+yE7DXr9Ou/633rLOrl6rDqgOpI6gvpzemM6UXpAujG6InoSegH58rnj+dU5xvm6Oa45ojmW+Yy5gnl2eWo5X/lXuU+5Rfk5OSc5Dnjy+Nn4xPiveJf4hviFeJH4obiruK94q7icOH+4W/g1eAy35ffK97+3ubesN5h3ijeE94D3ebd0N3P3c/dwN2v3a3drN2Z3XvdZt1c3U/dRd1I3VDdT91N3V3dgd2m3cjd9d4x3mvelt623tDe4d7s3wHfJd9N33bfqd/v4EPgoeEK4Xnh1eIT4j/iceKx4vXjOeOB48/kMOSz5VXl+OZ65tXnFedA51PnXud+58LoIeiJ6PPpW+nG6kLq2ut56/rsTuyU7O/tYe3O7ifuc+7Q71Xv/vCp8TLxo/It8uLzjvP79Dr0l/U19eb2dfbr93f4KPjS+Ub5gfme+a35p/mL+XX5kPn1+o77Kvuf+9z76fvi/AT8kP2X/uEAIAEwAiQDDAPdBIsFKwXXBoMHAgdAB1gHege1B/sIOQhvCKoI7QkxCW4JpQngCiYKbQqqCtsLCwtIC5IL4gwxDHoMvQ0BDU0Nog33DkIOgw7DDwsPWw+qD+4QJRBTEIIQtRDnERoRVBGWEc4R7RIDEisSWRJeEjkSLRJ5EvYTPBMmEwETGxNhE4ITcxN8E8sULBRJFBgT4BPmFCgUdhSwFNkU+hUKFQMU7hTdFNkU2RTcFOAU4BTSFLcUmxSBFF8UOhQrFDsUTxQ6E9QTAxG2EBEOiQ2qDbkOjw/JERISLRLzE2MTrRQYFNUV5BcZGDMZARmAGdIaFBpHGnAaoRrkGyIbRBtPG2AbfhuPG4EbXxtKG1kbihvKHAUcOhxtHJkcsRy8HNMdCB1LHYod1B44HqYe9R8kH1Efix+8H80fyB+/H68fjB9LHtQeAxzlG+AbbBufHAccERuIGrcaFRnlGhIaahrcG4IcZR1OHd0d0R0vHC4bAxnXGNkYOxgUGEAYaRhCF6YWqBWMFMsU7BYwGEQaXBu/HCYbwhrzGhwZexkWGLoYQhfCF2sXQxcmFv0W3xbpFxQXPRdRF1gXXBdcF00XKxb2FrUWchY0Ff8V0RWqFYYVYBUvFO4UphRmFDQUAxPEE34TQxMZEvESvhKIEl0SNhIFEc8RpRGFEV8RLxEAENcQrRB+EE8QIg/yD70Pjw9qD0cPHg72DtAOqA5/DmAORw4kDe8Nuw2ZDX8NYA1DDSgM+gyyDHQMawyHDIkMWwwqDB8MIAv3C6ELSwsUCu4KxQqjCpkKmgqGCk0KBQnICZoJbQk7CQwI6wjVCMAIpgiCCFgILggTCAUH9wfhB8oHuAefB3YHUwdVB3IHegdUByEHEAcnB0cHWAdaB1IHOgcVBvIG3QbRBskGwQa3BqUGjgaBBoYGkgaWBpUGnAavBsIGywbKBsEGrQaLBmYGSgY6Bi8GKQYsBjQGMAYTBekFzQXLBdEFxwWsBZEFhAWABXsFbgVaBUEFJQUIBO4E3ATPBL8EqgSWBIcEfgR5BHoEgQSGBIEEdQRuBGsEXwRGBDAELwQ5BDsELwQlBCMEGwQHA/YD+wQKBAkD7gPNA7oDtAOoA5EDdgNeA0cDKgMGAuQCygK3AqQCkAJ6AmQCTAIxAhcCBAH6AfUB6wHcAcwBwgG9AbcBqwGbAYwBfwFxAWIBUgFBAS8BGQD8ANoAtwCaAIQAcwBhAE4APwA2ADAAJwAV//v/2v+4/5f/d/9Z/zn/Ff7v/sr+qv6N/m7+S/4o/gf96P3I/an9i/1w/Vb9O/0g/Qf89Pzm/Nf8xfyv/Jn8hvx2/Gb8V/xI/Dj8JPwP+/v76fvW+8L7r/ue+4/7gPtu+1b7PPso+xv7D/r5+tr6wPqv+qX6nPqT+oz6g/p4+m36Zvpj+l36VPpJ+kD6O/o5+jP6Kfof+hv6G/oZ+hP6EfoU+hX6D/oG+gT6CfoP+hD6DvoP+hD6EfoV+hv6JPos+jP6O/pF+k76U/pV+lj6X/ps+n36jvqg+rL6xPrW+uX68Pr4+v/7BvsN+xH7FPsZ+x37H/sf+yH7Jfsr+zH7N/s4+zP7K/sm+yP7HPsS+wv7CfsI+wP6+vrz+uz65Pra+s76wPq0+q76r/qw+q36qfqm+qX6o/qj+qX6qPqq+qn6pvqk+qH6oPqh+qL6oPqe+pv6mvqb+p/6pfqq+q36sfq4+r/6xfrN+tn65frx+v37CvsW+yH7Lvs/+1D7YPt1+5D7rfvF+9v79fwQ/Cz8TPxx/JT8tfzY/QH9Kv1Q/Xj9p/3V/f7+KP5Z/on+r/7X/wn/Of9d/4H/sP/d//H/9P/x/8r/YP7r/vr/6gF5AvsD3QQAA8EDtgRIBU4GNAaeBsYHHwetB/wHtwcHBkgFrgU7BPME3QTwBRYFSwWWBfQGUgahBt8HDQctB0wHeQe2B/4IRgiICL8I6AkJCSUJOQk3CR8I/gjrCOwI7AjOCIoIMQfXB3sHFAaqBlAGCgXLBYgFQwT7BKcERwPpA5UDPwLaAmYB9AGPAUABDADtANUAsQB0ABf/nf8c/rr+if53/mP+QP4U/eX9r/1x/TH87Pye/Ev8AfvF+4j7Qfr0+qv6aPoh+dL5gPk2+Pf4wfiP+F/4NvgX9/736ffY98r3vfew96j3pfei95n3jveD93f3ZvdT90D3J/cG9u326fb39v/29/bd9rf2h/ZZ9j/2NvYt9iD2IvY+9mb2iPam9tD3Avcl9y/3L/c691T3dPeW98L4AfhQ+Kj5B/lu+eD6UPqu+vf7Nftn+4P7ifuV+8v8LPyT/Nr8+P0C/RP9Ov11/br9+v4n/jf+M/4q/iL+BP25/Uf82/yi/J78sPy//MX8yPzH/MH8vvzC/Mz81fze/Ov8/f0S/SX9Nv1E/U/9Wf1k/XP9iP2j/cL93/34/hP+M/5S/m7+hv6f/rz+3P8B/yv/V/98/5z/vv/iAAQAJwBRAIQAtQDbAP0BJgFTAX4BoAHBAekCHQJeAqYC7QMpA1oDiQO7A+sEFQQ3BFcEcgSJBKMExATrBQ8FLQVKBWcFgwWdBb4F5wYOBisGPwZUBmgGfAaTBrIGzwbdBtkG0AbJBsIGtganBpwGkwaGBnUGZgZYBkoGPQY1BjIGLQYnBiUGLQY4BjwGOAYwBiYGHAYYBh8GLwZABlIGZQZ4BoQGiwaUBpsGmQaRBpMGnAaWBnsGaAZuBmoGLgXcBbYFugWeBTYEugR5BHAEXQQjA+gDzgPHA7cDogOXA5EDgQNpA1cDRwMwAxIC+QLpAtoCzALGAskCzQLOAs4CzgLMAs4C3ALzAwkDGwM2A2gDsQQHBFoEnQTCBL4ElgRVBA8D1QOrA4QDSwL7AqoCfgKIAq8CxgKxAnYCNAH3AbwBgQFOASQA/ADIAJAAWQAd/8r/Yf76/qv+c/5A/gb9zf2j/ZD9hP1h/Rb8rfxA++D7kvtY+zX7IvsQ+vX60fqv+pn6jvqO+pP6l/qN+mf6Jfnd+bD5qfm2+cb55/oy+qj7K/uZ+9r74vux+2b7KfsE+uP6t/qV+ov6h/pl+h75zPmO+W/5Zvlj+VT5NvkO+Nb4ivg6+Af3+vf++AL4Ffg6+Ef4Evex91n3Fva79jb1svVe9Sz07fSQ9CnzzPN58yzy4vKV8kHx7PGm8XnxYfFU8UXxLvEU8P3w6/DX8MPwt/Cw8J7wevBO8CjwBu/m787vvO+h73zvZe9076Lv0u/78CPwTfBs8HXwcPBu8HjwifCc8LPwz/De8Mbwj/Bz8JXwvvCU8CHv1u/58D7wPO/+79jvzO+U7zPvDO9H73jvN+677ojuu+737vbuze6c7lbt8O2M7UftD+zG7HjsOuwH68TrdOsv6vzqy+qP6lHqFenV6Y3pSOkK6M7okOhR6BTn2Oea52HnMecF5trmreZ/5k3mG+Xw5dLlueWX5WjlLeTi5IDkE+Oz42XjEuK24nXieOKy4uvi/eLu4sviiOIb4ZThCeB93/ffkN9a3zrfBN663oHeZ95R3jDeF94S3g/d/t3u3e7d8d3j3cvdvN223avdn92i3bDdud2/3dXd+d4b3jjeY96j3ubfGN8731TfY99q33bfjt+u39TgCOBP4J7g7eFB4Zrh6eIi4k/iheLK4xTjXuOo4/bkUuTS5XfmHuac5uvnHudB50/nU+dt57LoF+iB6OPpQOmk6hrqretL69jsQ+yZ7PLtUe2q7fvuTu617zzv3/CC8QHxZPHe8ozzRfPE9Az0ZvUA9bb2S/a/90r4Bfi++Tn5cPmH+Zn5nvmP+X75jPnK+jP6tfs7+6n76vwG/Cj8ev0F/bv+l/+qAPACNgNCBA4EzQWjBncHEAdaB3UHjQe1B+IICggxCF4IlAjNCQYJQAmDCdIKIwpoCpoKxgr+C0oLnQvqDC8Mcwy/DRENYQ2oDe0ONQ6BDs4PGQ9pD7gP+RAiEEIQbBCjENkRDhFIEYIRsRHaEhESSRJVEioSAxIlEoESyxLiEvQTIxNJEzMTARMME24T2hP5E8gTihN1E40TuhPwFCgUWxR6FIEUfBR8FIUUkBSYFJkUjBRwFE8UNhQmFBIT/BP8FBgULBP8E2gSchEzD9kOuQ4zDnAPQRBKETwR8hJ0Eu0TmBSOFbIWyxe3GHUZEhmTGfMaMRpSGnAaoxrqGykbRxtSG2YbhxugG58biht4G3wblxvAG+4cHxxRHHkcjRyZHLcc7R0gHUEdaB2zHhkecR6sHt0fFB9BH00fPB8iHxkfLh9QHzwenh1zHDYbhRuOG98bzxsTGekY0xgpF/wYLBidGUcaFxriG2gbeRsTGmIZqxkmGOoY9RkxGX8ZsBmZGRcYHxbOFYgU5hVlFvoZDxrjG/gcMxvHGxQabhnoGVUYmRfbF1sXIBb9FtIWshaxFsIWzxbaFvEXFBcyFz0XNhcbFuwWshZ5FkcWEBXTFZgVaRVAFQwUyRSMFGIUQxQTE80ThxNUEyoS+hLJEqQShRJbEiUR7hG7EYoRWhEwEQgQ2BChEHIQShAdD+cPtQ+PD20PRw8eDvUOxw6YDnUOXg5CDhkN8g3YDb0Nmg16DWINOQzqDJMMaAxsDGsMRwwcDAwMCQvrC60LbgtBCxsK7wrDCqQKkgp7ClMKIAnuCcEJkQlbCScJAgjtCN4IxwihCHIIRwgqCBoICAfxB94H1Ae+B4wHVgdGB2EHeAdmBzsHJwc2B1AHXAdaB1IHRAcxBxsHAwbpBtQGyQa/BqoGiwZ5Bn4GjQaSBpEGlwaoBrQGtgazBrAGpgaPBnIGVwY/BicGFgYUBhwGFwX7BdYFwQW8BbIFlgV1BWQFZQVnBVoFRAUvBSEFFAUDBPAE3wTOBLgEoQSMBHwEbQRgBFsEYQRrBGsEXgROBEMEOAQmBBQEDQQRBBIECgQDBAED+gPpA9gD2QPnA+oD0QOoA4oDgQOAA3QDWwM/AyUDCgLnAsECogKNAnsCZAJJAjICHgIIAe8B2AHLAcQBvAGtAZwBkwGRAY4BhAF3AW0BZgFbAU0BPgEyASQBDgDtAMcApQCLAHcAZQBRAD0ALgAoACgAIwAR//X/1/+9/6T/hv9k/0L/Hv75/tP+sv6U/nT+T/4r/gz98P3T/bP9k/12/Vn9O/0c/P785/zX/Mn8uvyo/JX8hvx4/Gn8WvxK/Dj8IvwM+/n76PvW+8L7rvud+477gvty+137Rfsz+yr7IfsM+uz6zvq7+rP6rvqo+qL6mPqN+oP6ffp3+m/6Y/pW+kz6RvpE+j/6N/ot+ij6Jfoh+h36Hvol+in6Jvoi+iT6K/ov+i/6Lfou+i76MPoz+jn6QvpL+lP6W/pl+m76c/p0+nX6ffqO+qP6uPrK+tr66Prz+v/7C/sW+x/7Jfsr+zD7NPs5+z37P/s/+0D7RPtK+1D7UvtQ+0n7Qfs7+zf7Mfsp+yL7IPsd+xb7DfsI+wT6+/rt+tz6zPrA+rr6vfrB+r76t/qy+rD6r/qs+qv6r/qy+rL6sPqu+qz6qvqp+qn6qfqm+qH6nfqe+qP6qvqu+rH6tPq5+sD6yPrT+t/66frz+v77CfsT+x37LPs++1D7YPt0+4/7q/vB+9b77/wM/Cr8Svxs/I38rvzV/QH9KP1L/XP9pP3T/fb+Gf5I/nr+pP7K/vr/K/9S/3T/nv/K/+X/7//x/9P/df78/uX/mQD/AoIDiAPUA6gDkQQDBPoGCAbMB0cHrggFCBIHrQbxBhsFXQTYBKIEtQTvBTQFggXgBkIGmgbiByAHUQd0B5EHsAfZCAwITgiaCN8JDgkrCUAJTwlNCS4JAgjlCOYI9AjqCLIIVgfxB48HMAbUBoAGOAXzBa0FZgUbBMUEaAQTA8cDdAMPAqQCRQH2AbABcwFMATcBHgDiAHP/3f9H/uD+uf63/q7+jP5c/iz9+v2+/Xv9NPzl/JH8QPv3+7H7ZfsU+sT6ePot+eL5mflU+RP42Pik+Hb4T/gt+A739ffl99n3zfe/97T3sPer96T3m/eS94P3bvdb9073Pfcj9wr3B/cY9yr3J/cI9tP2mPZt9l72X/ZY9kX2P/ZZ9ob2rPbF9tz2+PcP9xn3Ifcz91L3dfeY98P4APhT+LP5GPmD+fT6ZfrF+w77Rvtv+4X7i/uZ+8j8Gvxy/LD8z/zf/Pr9LP1z/cT+D/5F/lf+TP45/i7+G/3Y/WL85/yf/JL8m/yd/Jz8ovyp/Kj8oPyg/Kj8sfy4/MH80fzn/P79E/0m/TX9Q/1N/Vj9Z/2A/aH9xP3i/f3+Gf41/k7+Zv5//pn+s/7S/vr/Jf9M/3D/lv+9/+MABgAvAF8AjgC2AN4BDQFAAWwBkAGzAd4CEwJPApIC1QMPA0ADcgOoA9wEBQQkBEEEXgR5BJgEvQTmBQkFJAU9BVgFcwWPBbEF2QX+BhUGIgYvBkAGUwZrBogGoAamBpsGkAaPBpIGjQaBBngGcgZrBmAGVQZOBkcGPwY5BjQGLAYhBh0GIwYqBikGIgYdBhkGFQYVBh4GLwZCBlUGZQZvBnEGcQZ4BoAGfgZ5Bn4GiAaEBm4GZQZxBkIF9QWXBWUFYAVIBPgEmQRlBFcEOgP/A8oDuAO2A6sDmAONA4gDfQNqA1YDQwMrAxMDAALyAuUC2gLXAtsC2wLWAtIC0QLSAtYC4QLzAwYDGwM+A3kDyQQhBHQEuATjBOsEzgSWBFUEHgP5A9sDrANiAxEC4ALlAwsDIgMMAtECjQJOAhABzwGXAW0BSAEcAOoAuAB9AC3/yP9m/xj+4P6r/mz+KP3y/dT9xf2o/WT8/vyP/DP78PvB+6D7ift4+2r7V/s++yP7DvsD+vv66vrF+oX6Mfng+bL5r/m/+c756/o1+rH7Qfu9/Av8Gvvk+4f7M/sD+ur60Pqy+pv6i/pw+kH6AvnK+a75r/my+Zv5afk0+QP4xPhw+CT3+vfu9/P4AfgN9/T3qPdQ9xb26faT9hX1rPV59VX1DfSn9Er0APO081jy+/Kk8lHyAPG/8ZXxf/Fy8WXxU/E88SPxCvDy8NzwzPC88KXwg/Bi8ETwIe/y77zviO9T7yDvBO8X71nvtvAb8HbwtPDH8Lnwq/Cv8L3wxPDL8ObxFfEw8Q/wxfCb8LLwy/CT8Cnv/vA78H3wYvAT7/Lv+u/U73rvTu9876fvbe787sPu2O717vDu4O7R7qHuQ+3f7ZftWO0J7LnsgOxP7A3rv+t860nrFOrX6prqYeog6djpkulV6Rro2+ia6FzoHeff56nnfudW5yrm+ObF5pPmZuZE5i3mE+Xp5bHlceUk5MLkVeP146njXuMP4t7i6uMh40TjNOMH4tXilOIx4bjhQODK4FHf6d+s34rfW98X3tveut6h3oDeZN5a3lXeRN4z3jLeNd4p3hXeC94H3frd7d3y3gneH94x3kvecd6T3rDe3N8d31/fjd+r38Tf19/f3+ff9uAN4C7gYOCk4O3hL+Fy4bvh/+I14mbioeLp4zPjfuPL5BrkcuTn5YHmIuac5uPnDecr5zjnPeda56foEuh66NHpJemL6gnqm+sy67vsLOyL7OLtNO2A7c/uMO6p7znv0/Bf8MbxF/GI8jby+fOH89n0NPTQ9Yv2I/aS9xX3yviD+P75MflH+V75dPmC+ZX5tvnh+hb6ZfrZ+1n7wfwI/EX8fvyk/MH9G/35/1IAxgIEAxAEJAVUBm0HNQejB9sH/ggTCBwIJwg/CGEIhgitCN4JGglcCZ4J2QoKCjQKZQqpCvwLTQuUC9cMJAx/DNYNGg1PDYgN1w4zDoYOyg8PD18Pqg/YD+8QChA3EGgQlBDFEQMRRRGDEcIR+hIHEdwRrBG6EgsSbRK+EwUTQRNMExQS1RLaEyITZBNnEz4THhMaEywTThOBE7sT6RQDFA0UEhQXFB4UJhQtFC0UGxP4E9QTwBPBE8kTzhPXE98TyBNsEscR8hEKECcPdg8zD3oQJBDnEYoSBxKCEzAUMRVuFqIXkRg1GLgZPBm+GiAaTxpfGnEanxriGx0bPxtRG2Mbdht/G3gbahtjG2kbfhugG80cAxw7HGYcexyLHK4c5h0YHTMdTB2AHcweEh5DHmselB61HsAesh6UHn4elB7fHx0e5R4LHOkcGhveG94bghp/GRQXwRbqFqgW2xdaGAEYrxlJGbkZ7RniGbEZixmWGdQaIhphGoMaixpzGiQZehhkFxAV/hW2FnAX7RmmGxMb3BvyG5QbGxqqGiEZYhiTF/UXlxdZFyIW9hbUFqcWcBZOFlsWjBbCFuwXChcWFwgW4xa3FokWThYBFa0VahU7FRIU3hSpFIQUbBRJFBATzhOVE2UTNBMEEt8SwxKgEm8SNBH5Eb4RixFiETsRCBDPEJ0QdRBHEA4P2g+yD48PZg8/DxoO8A7ADpgOfw5qDk4ONQ4jDgsN5A28DaANew0zDNkMlgx2DFwMNgwTDAML+AvYC6cLfAteC0YLKAsBCtYKqQp9ClQKKwoBCdoJsgmGCVgJMgkaCQcI7QjECJUIaghMCDYIIAgIB/oH9QflB7cHggdwB4sHpgeVB2MHQgdKB2YHeAd3B20HYgdaB1AHPAcbBvcG2wbFBqgGiAZ2BnsGiQaOBo0GkwacBp4GmwacBqIGoQaTBn8GbAZWBjkGHwYSBgoF9AXQBbEFqAWnBZYFcwVZBVcFYQVeBUcFLAUbBREFBwT4BOcE1AS9BKMEiwR4BGcEVQRBBDUENwRFBE4ESwQ+BDMEKgQdBAoD+gPzA/MD8APrA+UD3QPQA8ADuwPFA8sDtgOHA1kDQwNDA0IDMAMSAvUC2gK6ApUCdAJfAk8CPAIkAg4B+wHmAc0BtAGkAZwBkgGBAW8BZgFkAWIBWgFPAUgBRAE8AS8BIwEbARAA+wDaALcAlQB0AFMANgAcAAj//P/6AAMACP/+/+X/y/+4/6j/kP9u/0n/JP7+/tn+uP6b/nz+V/4y/hP9+P3b/br9mv19/WD9Qv0h/QD84/zN/Lz8rfyc/Iv8fPxu/GH8U/xD/C/8GPwD+/P75fvV+8L7rvuc+437gft0+2L7Tfs++zj7Mfsf+v/63/rJ+sH6vvq8+rb6rPqi+pr6k/qL+oH6dfpo+l36VvpT+k/6SPpA+jn6M/os+in6Lfo2+jn6N/o2+jz6RfpK+kv6TfpQ+lL6VPpX+lz6Yvpq+nP6e/qD+ov6kfqS+pT6nvqx+sr64Pry+wL7DfsU+xz7J/sz+zz7Q/tJ+077UvtW+1v7Xvte+1/7Y/tq+277bfto+2H7WvtU+1D7SvtC+zv7OPsy+yj7Hvsa+xf7Dfr8+uv63frS+s760PrT+tD6yPrC+sD6vvq6+rf6ufq7+rv6uvq6+rv6u/q5+rj6t/qy+qv6pvql+qr6sfq2+rn6u/q++sT6zfrZ+uX67vr1+v77B/sQ+xv7K/s/+1L7Y/t2+4/7qPu9+9L77PwJ/Cj8SPxo/If8p/zP/Pz9I/1E/Wv9nf3L/ez+DP46/nD+nP6//uj/F/9B/2X/jv+4/9b/5//y/+L/k/8X/tT/PQBjAdoDCQOQA4oDcgPIBKsF0gbTB3kH0AfuB9IHbga7BcoE2QQ+BCgEeQTnBUgFoQYEBmgGxAcZB2gHpAfJB+EH/AgfCEkIgAjDCQAJJAkyCTsJRglFCSoI/AjZCNYI6AjqCLsIYQf7B50HSAb1BqcGXwYdBdsFlgVJBO4EjgQ4A+wDmQM5At4CmQJeAhgBywGRAXYBYgErAL0AKf+X/zT/Df8E/vH+xv6S/mT+Nv37/bP9Zv0X/MX8cvwj+9n7kftG+vj6qPpW+gf5vfl1+TH48fi7+JD4bPhK+Cj4C/f59+334vfX9833xve+97T3rfem95j3gvdt9173Tvc09xr3Evcg9zD3K/cJ9tH2mPZ09m32dPZu9lr2UfZn9pT2uvbN9tL21/bh9vH3C/cu91b3fPee98b4A/hY+L35JfmO+gD6dvrf+y37YfuB+5H7mfus+9f8FfxV/If8rPzO/Pv9N/2A/c/+Gv5S/mn+Xf5H/jz+Lf3u/XD85vyR/H78gvx7/G78bvx5/H78efx2/H38hvyO/Jf8p/y+/Nj88P0H/Rv9LP05/UL9S/1f/X/9pv3H/eP9+/4U/iz+Rv5j/n/+mP6x/tD+9f8b/0L/bP+Z/8H/5gAMADkAZgCRAL4A8wEqAVsBhAGuAd4CEgJKAoYCxAL8Ay0DYAOXA8oD8AQLBCUERQRnBIwEtQTeBP4FEgUjBTYFTgVpBYsFtAXYBe8F+wYIBhkGLAZABlYGaAZqBmAGWgZhBm0GcAZrBmgGagZqBmQGXQZYBlEGSAY+BjQGJgYWBgsGCAYIBgMF/gX+BgIGBwYMBhgGKgY+Bk8GXAZhBl8GXAZfBmUGZQZjBmkGcgZuBl0GVgZaBfIFoAVHBRMFAgTnBK0EbgRLBDgEFwPlA78DtQOzA6UDjwOBA3sDcwNlA1MDPgMnAxMDBwL/AvcC8ALwAvMC7wLlAt4C3gLjAugC8AL8AwwDJQNOA40D2wQsBHoEvgTvBQAE7AS8BIQEVgQ5BCQEBQPQA5EDZQNhA3kDhQNqAy0C4wKdAlcCEAHUAagBhgFiATcBCADSAIwAN//f/5H/UP8T/tL+jf5P/iT+CP3n/a39Wv0A/LX8ffxQ/CX8APvt++378fvn+8j7oft9+1b7Ifra+of6NPnx+c/5zfnZ+eb6BPpK+rv7Pvu6/B38Sfwi+7L7Nvrv+uf68fri+rP6ffpa+kX6KPn++d752/nj+dD5n/lu+Uj5Dviu+Ef4B/f8+Ar4FvgJ99H3dvcg9uv2vPZr9gj1yPWy9Yz1LvS69GL0JPPZ83bzD/K18mLyF/Hf8b/xqfGT8X7xbvFe8UjxLfEQ8Pbw4fDO8Ljwn/CG8GrwPe/6763vaO8u7wHu6O7w7yfvjPAU8Jzw9vEL8PPw4PDn8Pbw9vD28RXxVPF98V3xCPDK8M7w4PC78HPwXvCQ8K/wevAq8BfwL/AW78Tvl++77+bvxO9s7yzvEu777uTu6O767uTumO4+7fTtqu1S7QDsyeya7FvsEOvQ65vrYusl6uvqsepu6iPp4emm6WvpKejn6Knoa+gv5/vn0ueo53XnPucN5uTmwOag5oPmYeYy5ffltOVj5P7kkeQx4+bjo+Nm40njY+OW46XjeuM34vziveJh4e/hgOEV4KLgOd/439nfs99y3zLfDN7z3tXeud6s3qbemN6I3oHeft5x3l7eVN5O3j7eLd4z3lHecN6K3qne1N783yDfTt+J377f3N/w4AzgK+BB4EzgVuBk4H7gquDo4SvhZ+Gg4d3iGuJP4oPiwuMK41LjmePm5Dbkh+Tt5XXmCeZ85r7m4ub95w3nGudD55zoEOhz6L/pDul96gnqnusp66LsC+xp7MDtE+1h7bbuIO6j7zHvuPAm8Hrw0PFT8g/y0fNY86f0B/Ss9W/2B/Zv9uP3h/gv+J/40fjv+RP5Pflr+an57vob+ir6RPqM+vf7YPu8/Bb8WPxZ/CL8FvyY/ab+6QAjAW8C+gSpBiUHMgfdCEwIiwiUCHgIYwhuCJAIsgjUCQcJSQmGCaYJrAmtCcMJ+ApICp0K5wsoC24LxQwkDHgMtAzjDRsNbg3QDicOZQ6bDuIPMA9rD4kPog/HD/EQFBA7EHYQvhEAETIRTxFFERIQ4xD2EVgR4RJkEtQTIBMtEwAS0BLLEt8S2BKuEpASmRK6EtkS/RMxE2cTixObE6YTsBOxE6kTohOhE54TjhNuE04TRRNXE3UThRN8E1gTFBKtEjARtBE/EM8QcxBUEIwRBBGKEgASdRMRE/EVDxZAF0oYDBiSGQYZfhntGjgaWBphGnIamxrVGwsbMhtIG1IbUBtDGzQbLhs1G0gbZRuLG78b+xw1HF8ccxyCHKMc1x0JHSsdRx1sHZYduh3VHfEeEB4rHj4eQh4rHgId9x44Hqge4B6SHeMdQxzuHKMb6BqLGNkXWxZyFiwWZRbvF58YUBjkGVQZoxnVGfQaHBphGr4bERs+G0AbJBr2GrcaThmcGJ8XkxbeFs8XdhikGfYa9hteG0kbERrpGrMaRRmqGRQYoBhEF/kXtxdnFvAWZRX/FeUWBxY/FnwWvBbwFwkXAxbrFskWlRZLFfMVoBVfFSsU+RTFFJgUeBRdFDsUEhPoE70TjBNYEykTARLWEqQSbRI0EfcRvhGQEWkROhEEENAQoBBqEDAP/w/ZD7MPhw9eDz0PGg7vDsgOsA6dDocOcg5lDlMOMw4KDecNvw2CDTQM6gyuDH0MXAxQDEwMMAv2C7oLmguVC5cLkQt2Cz8K8wqpCnAKRAoaCfQJ1gm6CZcJcglTCTgJFgjrCL0Ilwh6CGEISAgzCCcIIggUB/EHywfDB90H7gfPB40HXAdbB3sHmAegB5gHiweAB3gHaAdIBxwG7wbHBqQGhwZ6Bn4GiAaOBpEGlgaVBosGgwaIBpUGmgaUBo0GhwZ2BlcGNwYgBgcF3gWvBZcFnAWhBYwFaQVZBWMFawVbBToFIQUXBQ4E+gThBMsEtgSfBIgEdQRmBFUEPwQpBBgEFQQhBDMEOwQ1BCoEIQQWBAMD7APeA90D3QPXA80DxAO6A6sDoAOjA6oDnANuAzMDCwMCAwUC/ALjAsQCpwKKAmsCTQI3AigCGQIHAfMB3gHGAawBlQGEAXoBbQFaAUgBPgE7ATkBMQEpASQBIAEZARABCAEBAPUA3wDBAKAAfQBYADEAEf/9/+//4f/Z/9z/4//h/9D/u/+s/6H/jv9v/0n/Iv78/tj+uP6d/n/+W/43/hb99/3Y/bj9mv1//WT9R/0o/Qj86PzM/Lj8pvyT/ID8bfxf/FL8RPwz/B/8Cfv2++j73fvR+8D7rvuc+437gPt0+2X7VftK+0X7Pvss+w767vrZ+tD6z/rN+sb6vfq0+qz6pfqc+pH6hfp5+m/6aPpl+mP6X/pZ+lL6SvpC+j/6RPpL+kz6SfpJ+lH6Wfpg+mX6a/px+nb6evp++oL6hvqN+pf6oPqm+qr6rvqx+rX6wvrX+u/7AvsT+yP7MPs5+0D7SftT+1v7Yvtp+277cPtz+3j7fft9+337gfuG+4f7hPuA+3v7dftw+2v7ZPtb+1P7TvtI+z37Mvsr+yb7G/sK+vr67/rn+uP65Prl+uL62frR+s76zPrI+sb6xvrH+sX6xPrG+sv6zfrM+sr6x/rB+rn6svqx+rT6ufq++sL6xPrH+sz61Pre+un68fr5+wL7C/sV+yH7MftF+1f7aPt7+5H7pvu7+9L77vwM/Cr8SPxn/IX8pfzM/Pf9Hv0+/WP9kf2//eL+BP4y/mf+kv6z/tb/Af8u/1j/hf+w/87/3v/s/+r/tP9E/uD++f/JARkCYgMrA2QDaAO0BIIFpAa3B24Huwe/B50HTgapBZ0EcwOxA6YEJQS9BTIFjgXvBlcGwgcxB5wH6AgOCCMIQwhvCJ0IyAjyCRYJKAktCTEJOQk5CSUJAAjeCNII1gjRCKcIWQgAB6wHXAcLBr8GgQZNBhcF1AV+BRcErQRPA/8DrwNeAxsC7QK/AnkCIQHZAbIBlQFcAPgAegAC/6z/e/9c/zT+/v7H/pn+bP4w/eX9lv1I/Pj8o/xQ/AT7v/t8+zL63/qH+jL54vmZ+VP5Evja+K74ivhp+En4LfgX+Af3+vfv9+f34PfV98j3v/e596/3nfeH93P3XPc89x/3EvcX9x33E/b09sf2mvZ+9nX2dvZu9l72VvZo9oz2rfa59rH2p/ar9sn2+fcv92D3ifer99T4Evhp+M35MPmU+gX6g/r3+0z7fPuS+537qvvC++n8F/xF/HH8ofzZ/Rn9Xf2g/eH+H/5U/nD+bv5f/lf+Rv39/Wz8yvxl/E/8XPxa/Ej8PvxD/Ev8TPxN/FL8XPxn/HX8iPyf/Lj80fzp/QD9FP0j/Sz9Mf1A/V79hP2o/cT93P3z/gz+J/5H/mf+g/6a/rP+z/7w/xf/Rf91/6L/yv/zACAATwB8AKsA4AEXAUoBeQGpAdwCEAJGAoECvQL2AycDVwOIA7QD0wPoA/0EGQQ9BGYEkQS7BNsE7QT4BQUFGQU1BVkFggWmBb8F0gXmBfwGDQYbBikGOAZABkEGRQZTBmQGawZpBmgGawZsBmcGXQZTBkgGOgYtBiIGFgYHBfoF8wXvBeoF6AXsBfcGAgYNBhoGKAY1BkAGSQZOBk0GSgZKBkwGTQZOBlIGUwZKBjoGLQYeBaAFWQUcBPUE1ASoBHQETQQ5BCMD/gPVA70DtgOvA50DiAN6A3MDbANiA1MDPwMpAxoDFAMRAwwDCAMIAwgDAgL5AvIC8QL2AvwDBAMPAx8DOQNlA6ID6AQvBHMEsQTfBPQE6QTJBKUEigR4BGsEWAQ5BBMD9APoA+0D6gPJA4kDOALnApoCUAIRAeIBvgGdAXkBUQEiAOkApABXAAj/u/91/zT+8v6y/nv+T/4l/fL9tP12/T/9Dfza/KT8d/xk/G38gfyB/F78I/vd+4/7NfrV+n76N/oI+fT5+PoI+hz6O/p0+sT7IvuS/BD8bPxi+937Kvq6+r/7A/si+u/6jvpJ+jr6Pfoq+gf58vnu+d75v/ml+ZP5X/j3+Ib4SPhF+FP4S/gh99f3evcf9tX2j/Y/9f315fXe9a31QfTN9H70QvPu84DzFvK+8m/yKvH88eTxzPGr8Y7xgPF68WzxUvEy8RXw/fDq8NbwvPCa8G7wNu/278Hvp++j75/vi+9t72PvkvAF8JrxDfE28SfxFfEb8SnxKfEo8Ufxh/G58abxV/EN8PrxBvD48M7wu/DJ8MTwifBM8EfwX/BK8AXv3+/78B/wDu/T75bvXO8a7u7u9u8X7xfu4+6e7lruCO2n7VTtHuzv7LDsaewq6/HrtOt460LrB+q+6m/qLun36bzpeek46P3owuiI6FToKOf357/niudh50LnIeb75tPmq+Z+5kXl/OWi5Tnkz+R05Czj7eO7467j0eQD5Anj0+OH40XjAuKj4i/hwOFY4OrghOBE4CfgBN/G34bfYN9K3y7fEd8D3v/e897g3tPey9673qbemd6N3njeY95m3oPepN7A3uTfFt9K33bfpN/U3/XgAuAQ4DPgY+CH4JfgnOCk4Lfg3uEa4VvhlOHI4gDiOuJu4qLi4eMp427js+P95ErkluTv5Wbl7OZW5pLmsebJ5t7m9uct55ToDuhv6LTpA+l56gvqm+sZ64br5+w/7JXs7+1L7a7uHe6a7xnvhe/Z8CrwnfFK8hvy0PM9833z4PSQ9Vj17vZN9rL3QffU+Db4afiU+M35CvlQ+a36EfpO+lH6Rvph+qH66fs2+5f78fwJ+9j7rPvc/G/9Nv4s/4YBXQNoBTAGfwdyCCoInAiyCIcIYQhqCJYIxgj5CUAJlwnXCeAJuwmRCY0JugoBCkYKggrBCxELaAu2C/UMMQxxDLYNBA1bDawN5w4PDj8OhQ7ODwkPNw9kD40Pqg/HD/QQLBBWEGMQUxAmD+YPuQ/SED0Q0hFjEd4SPBJuEnkSfBKIEoESThILEfQSFxJJEmsShhKxEuITBBMZEzMTThNXE0kTMxMnEyETFBL5Et8S2hLuEwQS/BLNEokSShIZEfQR1RGwEX0RShE5EWMRuxIhEosTEhPRFMUVzxbIF5sYRxjWGVMZvRoJGjYaShpWGmkajRrAGvYbIRs5GzsbLxsgGxkbHxswG0obaBuOG74b9BwlHEYcWRxrHIwcvBzsHRUdOh1YHWkdbh12HYodpB28Hdcd7B3gHaodfR2dHhMekB69Hpwech5fHh0dPhulGbEX+hbdFmQWahbTF4QYUxkOGZwZ/ho9GmUaihq/GwobXBudG7kbpRtmGxEasxpDGbAY+xhLF9cX1RhbGT0aERp/Go0ajxq4Guka4RqUGiIZrxlJGPYYqhhBF6EW5BZHFfMV4xX9FjMWexbBFvkXHBcoFxkW7xaxFmYWEBW3FWcVIhTiFKUUdhReFFYUTxRDFCwUBRPQE5QTVRMUEtYSnRJnEi0R8hG/EZURbBE6EQMQyRCLEFEQIxAAD9oPrQ+CD18PPA8VDvQO4g7SDroOoA6QDocOdA5VDjAOBA3PDZENTA0DDMMMqwy9DMkMnAxBC/QL4Qv3DBAMEgvyC6sLSArqCqcKdwpKCiAKBAnvCdMJrQmICWcJQgkYCO4IzgizCJsIhAhvCGAIVAhCCCQICggGCBkIHgf2B7AHdwdrB4IHoAezB7YHrQedB4wHewdfBzUHAwbUBq8GlgaKBogGiwaRBpsGowacBocGdwZ6BocGkQaUBpoGngaQBm8GTQYxBg4F2gWqBZsFqAWpBYkFYgVbBW4FcQVQBSMFDQUMBQUE6QTGBKkElASBBHIEaARbBEYELQQYBAsEBgQOBCAELAQoBBgECQP/A+8D2gPLA8gDxwPAA7QDrQOnA5oDiwOFA4oDhgNjAygC8gLWAtICzgK9Ap8CgAJmAk0CMwIaAgcB+AHrAdgBwQGmAYwBdwFmAVgBRwE0ASQBGwEYARUBEAELAQYBAAD5APIA7ADjANMAuQCcAIAAaABVAEkARgBGADsAHf/2/9f/yf/E/7n/qv+c/5H/gv9n/0P/Gv70/tH+s/6Y/nr+V/4z/hH97v3L/av9kv17/WL9Rv0q/Q788fzV/L38qfyU/Hz8ZvxU/Eb8OPwn/BL7/vvs+9770/vI+7r7q/uc+4z7f/tz+2j7XvtW+0/7Rfsy+xf6/Prp+uH63/rc+tb6zfrF+r/6t/qs+qD6lfqK+oD6evp5+nr6ePp1+nH6a/pk+mD6Yvpl+mX6Yfpi+mj6bvp0+nv6hvqO+pX6m/qj+qj6rPqz+r76yfrO+tD60vrV+tz66/sA+xX7Jfsz+0P7Uvte+2b7b/t3+377hPuL+5D7kPuQ+5X7nPue+537nfug+6D7nfuZ+5b7kfuM+4b7f/t1+2v7Y/te+1X7SvtB+zf7KvsY+wf6+/rz+u/67vru+ur64frY+tP60frP+tD60frR+s76zfrR+tf62vrZ+tb60frK+sL6vfq9+sD6w/rF+sj6zPrR+tb63frj+uv69fr/+wr7Ffsh+y77PftO+1/7cfuD+5f7q/vB+9r79/wV/C/8Svxo/If8qPzL/PP9Gf07/V39hv2y/dn9/v4o/lf+gv6m/sr+9P8g/0//gP+v/87/3P/m/+z/0v9+/xH+5f9VAGEBpgKjAyMDYQPDBIMFhgaIB0gHqAe6B6AHXgbCBaUETwNdAz0DxQR0BPkFWgW7BiUGnAchB6UICAg3CE4IcgioCN0JAgkYCSYJLgk3CUIJSQlECTMJGgj/COgI0wi3CIwITwgKB8EHcAcaBtAGoQaCBloGFgWzBTwEwwRbBAkDxQOLA18DQAMbAtoChgI8AggB1wGPATAAyQBtACL/5P+u/3f/Pf8J/tr+qP5q/h/90P2A/Sz81fx//DH76/un+1/7DPqz+lv6CPm++Xr5O/kC+NH4qPiG+Gr4UPg4+CL4EPgD9/z39vfr99730vfK98L3tvel9433bvdJ9yr3GPcR9wr2/Pbm9sz2sPaX9oX2ePZq9lr2U/Zf9nr2lfae9pD2f/aF9rD29Pc793T3oPfI9/f4N/iL+On5RPmj+hT6lPsJ+1v7hvuZ+6X7tvvQ+/L8F/w+/G38rfz4/UT9iP29/er+F/5E/mf+dP5z/nH+XP4G/WH8pvws/BP8Lvw+/DL8H/wa/B/8Jvwr/DD8OfxI/F78dPyI/Jz8s/zO/Oj8//0P/Rb9G/0p/UT9aP2K/ab9vf3U/ez+B/4m/kj+Z/6B/pf+r/7M/vH/H/9R/4P/s//kABYARwB2AKUA1gEJATwBbQGfAdECBAI5AnICrQLlAxYDQQNrA5ADrAO+A88D5wQIBDAEXASHBKoEwATMBNkE8AUSBToFYwWFBaAFuAXSBewF/QYGBg8GHwYvBjwGRwZWBmQGaQZlBmEGXgZaBlAGQgY0BiUGFQYKBgQGAAX7BfMF7QXpBeYF5gXsBfkGCAYVBh8GJQYnBikGLQYzBjYGNQYyBjEGNAY4BjkGMQYjBhEF+wXZBWkFOQUjBQ8E4ASYBFsEPQQxBBoD8wPPA70DtAOmA5MDhAN6A3MDbANjA1cDRgM0AykDJgMlAyIDHgMcAxoDFgMQAwwDCgMLAxADGQMmAzcDUQN5A68D7AQpBGAEkAS0BMgEygTDBL0EvQS9BLUEpgSRBHsEZwRYBE8EQAQcA9oDhQMrAtgCkgJXAiUB+gHVAbQBkgFrATsBAQC9AG8AHv/S/4//T/8P/tL+m/5p/jj+CP3b/a39e/1D/Qz84PzN/NX86vzv/M38g/wg+7H7Qfrd+ov6T/op+h/6M/pX+nz6nfq9+t/7Dvtn+/H8cfyA++77CPpq+nP68/te+0z6z/pP+hr6I/ou+h76Afnn+c75vfnB+cr5qvlV+P341PjR+L74fvgo99T3gPcm9sf2a/Ye9fP17PXh9ab1QvTl9Kj0aPQC84PzFPK98nLyNPIO8frx4PG78Z3xlPGW8Y7xePFa8T3xJfEQ8PbwzvCX8FjwHu//8A/wTfCa8MTwqfBV7/zv3PAZ8JnxF/Fb8WTxWfFc8WjxavFm8XPxn/HO8dHxmvFQ8SrxLfEz8SHxBfDw8NTwqfCH8IbwjPBx8EDwKfA48ETwLfAD79nvoO9U7xrvE+8q7zDvF+7w7rvubO4M7brtge1L7QnsxeyG7EfsBevM653rY+sS6r7qfOpG6gzpyemL6VLpGejf6KroeehG6A/n4Oe/56LnfedR5yXm/+bW5pzmSeXi5XblFeTH5IXkSOQY5A3kLeRX5FnkI+PV44zjP+La4mPh9OGS4S7g0OCS4HLgUOAX39/fvt+p343fbt9f31rfS98z3yDfFN8C3ure2N7I3q/elt6T3qreyd7l3w3fRt+D37Xf3N/94A/gE+Ai4EzgheCv4MDgwuDG4Nbg/uE94YDhueHs4iLiXOKQ4sPjAONG44rjzeQV5F7kpuT55Wjl5OZE5nfmj+an5sDm4ecj55XoFuh26LbpAel06f/qger262PrxuwY7Gfsxe017avuHu6P7vjvS++P7+Xwd/FJ8ibyyvMd81LzuvRu9TL1v/YU9m727fdv98j3//g6+If41/kr+Zj6Dvpd+mn6VvpX+nT6lvrD+xD7bvuo+6f7lPui+9j8K/zE/en/owGYA1cEugXiBuQHoAfzB/UH7QgNCE8IlgjhCT4Jqgn8Cg4J6Am5Ca0Jygn3Ch8KTQqZCvsLTgt7C5sL2Qw0DIgMwAzzDTANaA2CDZANug4HDl4OqA7iDw4PKg8/D1oPdg9+D2gPPQ8HDswOpQ64DwwPfg/pEEcQpBD7EUYRixHJEeURyhGYEYkRrhHfEfkSBRIeEkMSZRKHErYS7RMNEwoS8hLdEtESwBKjEoESbxJtEmISMxHnEakRoxHQEgcSIhIVEewRxRG/EesSOxKdEw8TqhR7FWwWUxcYF78YXBj1GXcZ0hoHGiYaOhpJGlYabxqdGtcbBBsXGxQbDRsOGxkbKRs8G1EbahuJG68b1xv8HBccKxxFHG4cnxzOHPsdJh1FHU4dRR1CHU0dXR1tHYUdnx2aHWUdKx00HZUeFR50HrUfDB97H6Ae/x11G2wZghgeF00W+hccF6sYfhlUGf4abRqnGrgasxq1GtcbHht6G8kb5Bu9G2YbBBqqGlYZ+BmMGSAY2BjjGUAZshnzGgcaLRqIGu0bGhr4GqMaOhnVGYQZQhjvGHAXzBcoFqMWTRYuFj0WYhaMFsEXChdNF2EXPhcAFr0WbBYJFaYVVBUMFMYUjRRyFHMUfhSDFHsUYRQyE/QTrBNeExIS0RKbEmcSMBH8EdERqBF3ETsQ+RC4EHsQSRAiD/wP1A+sD4cPYA86Dx8PEA8BDucOyg63Dq8OpQ6PDmwOQA4QDeINqQ1cDREM9g0SDScM9QyODEQMRAxrDH4MZwwvC9sLdQsZCtsKsQqFClYKNAodCgMJ3Qm3CZYJdQlPCSsJDgj2CN8IyAixCJoIgghnCEkILwgkCCYIIAgBB9AHpweVB5YHoge1B8cHzAe9B6IHhwdsB0kHHwb1BtMGuwasBp8GlgaXBqUGsgasBpMGewZ0BnsGhQaRBqEGqQaaBncGVQY6BhYF4QW1Ba4FuwWuBXsFTQVQBXEFdQVGBQgE7ATxBPIE2wS3BJcEfwRrBF4EVQRDBCgEDAP+A/oD+gQABAwEFAQLA/UD4wPcA9UDxwO4A7IDrwOoA54DmQOYA5ADgAN0A3IDcwNiAzgC/wLOArMCqQKeAocCaAJMAjYCHwIDAeoB2QHMAbsBoQGFAWwBWAFGATMBHgELAP8A+QD3APUA9ADyAO0A5ADaANIAygC9AKgAjABwAF8AYgB+AKgAzQDYAL8AggAw/+f/uf+m/5//l/+M/4D/cv9b/zr/Ev7r/sn+rP6P/m7+S/4o/gb94P27/Z39iP10/Vv9Pv0k/Q789vze/Mf8svyb/IH8aPxT/EP8M/wj/BD7/fvs+937z/vC+7X7qPua+4v7fPty+2r7Zftf+1b7R/s0+x77Cvr7+vP67/rq+uT63PrW+tL6yvq/+rL6p/qb+pL6jvqP+pH6kfqP+o/6jfqH+oL6gvqE+oP6gfqB+oT6hvqJ+pH6nfqn+q76tvrB+sn6zfrU+uL67/r3+vr6/fsC+wv7Gvst+z/7TPtY+2f7dfuB+4r7lPuc+6H7pvus+7D7r/uu+7T7vfvA+737vPu9+7z7ufu2+7T7rvum+5/7mfuP+4L7d/tx+2r7YftX+037Pfso+xH6//rz+uz66frn+uP63frX+tP60frR+tP61vrX+tX61PrZ+t763/re+tv61vrP+sj6xvrI+sz6zvrP+tD60/ra+uH65/rr+vL6/PsJ+xT7H/ss+zr7SftZ+2n7evuN+6H7t/vO++j8Bfwg/Dj8Tvxp/In8qfzK/O39Ev02/Vj9fP2k/c/99v4c/kP+bP6Y/sT+7/8a/0b/d/+n/83/4P/q//H/6v+z/0v+8v8P/9EA/AISAs4DTAPTBIcFXgZDBxUHqQfhB8gHeQbcBc0EdgNpAyQDlgREBM8FMAWKBe0GYAbsB4UIBghQCHEIkQjCCPcJHAksCTIJPglXCXMJfAltCVQJQAkvCRMI6Qi4CIUIUggcB9sHiwc0Bu0GxgazBpQGUAXlBWIE3QRsBBsD5gPBA6YDkANwAzsC9QKxAnMCLQHTAXABEwDFAH0AN//0/7f/gf9O/xr+4v6i/lr+Cv21/Vv9APyr/F38FfvP+4f7Ofrl+o/6Ovnr+ab5aPkx+Pz4zvio+Iv4c/hb+EL4Lvgf+Bf4EfgJ9/337vfh99j30vfE96n3gvdZ9zj3I/cS9wD28fbo9uD20va89qX2j/Z69mn2YPZn9n32lvag9pT2gfaJ9rv3CfdV95T3yPf7+DL4c/jA+Rb5b/nR+kD6t/sc+1/7hPuc+7D7xvve+/r8HPxG/H78yP0a/WX9nf3C/dz9+v4g/kb+Xv5o/mv+Vv4C/V78m/wS++z8CPwl/CP8D/wC/AL8CfwN/A/8F/wr/En8Y/x0/IL8l/y2/Nb87/z9/QP9Cv0a/TX9VP1x/Yj9nf2z/cv95v4D/iP+Q/5g/nj+j/6q/s7++f8q/17/lf/OAAUAOABnAJUAwwDzASUBWAGJAboB6gIdAlICiQK9Au0DGAM+A2IDgQOZA64DxgPmBAsEMgRbBIAEnAStBMEE4QUQBUEFawWLBaMFuwXUBesF+gX/BgYGFAYnBjYGQAZIBk8GTwZJBkAGOAYwBiQGFgYIBfsF7wXnBecF7AXuBewF5gXiBd8F4AXnBfQGBAYSBhkGFwYSBg8GEAYWBhwGHQYaBhgGGwYhBh8GEgYBBfAF1gWmBUMFKAUxBS8E9wSZBE4EMAQnBBED7QPQA8EDtAOgA44DgwN8A3UDbQNmA10DUANEAz0DOgM3AzMDMAMwAy8DLgMsAysDKgMpAy0DNQNCA1EDZwOHA7MD5gQYBEEEYQR5BIwEnwS1BNIE8gUIBQkE9gTbBMIErwSeBI8EegRWBBgDwANeAwgCyAKYAm0CPgIRAewBzwGuAYMBTQEOAMUAdwAr/+X/of9f/yL+6v62/oX+Wf4v/gD9yf2R/WH9O/0g/Rj9If0o/RD8xvxU+9T7YfsG+r76gvpa+lz6i/rN+wH7Gvse+xn7Ivtc+9L8Tfxi+9L63foj+iH6w/t1+6H7Jfpo+ej50vn3+hX6DPnk+bf5ovm3+d756PnI+aH5j/l0+R/4lfgP97P3cPcl9sf2afYi9f317fXQ9ZH1P/T/9ND0ifQT84vzGfLC8nryQfIh8g7x9PHR8bjxsvGz8a3xnPGI8XLxWfE+8Rrw5/Cl8GLwNPA78IvxD/GJ8bLxcvDu8G7wL/BM8LPxLvGG8ajxqPGn8avxqvGa8YrxlfG78dbxvfF68UTxRPFi8W3xUfEj8Pvw4/DX8NHwwPCf8IPwffB/8GfwNvAN7/bv1++c717vPu857znvNe8t7xDuz+557ivt6+2p7WHtH+zh7JvsVuwi6/rrwOtr6xLqz+qZ6l7qG+nc6aLpZ+kr6PXoxeiU6GToPOga5/fnzuek54DnXucx5uzmjuYi5brlZOUg5OXkr+SF5HbkhOSZ5JDkW+QO473jZuL94oviI+HJ4XLhIODk4MDgnuBu4EDgJOAN3+3fzd+937Tfn9+B32rfW99H3yzfF98H3u/e1N7M3uDe/t8c30XfgN+93+rgCOAc4CfgLeA/4GvgoODH4Nbg2eDf4PLhHeFf4abh3+IQ4kbigeK34ufjIONi46bj6OQs5HLkuuUQ5X/l9uZM5nPmhOaa5rjm3uco56LoKOiF6Lzo/eln6eTqWerI6zzrpev17Dvsne0h7azuI+6I7t7vIu9d77TwTfEk8fvyk/Lk8yTzlvRF9Pj1dvXD9hX2iPb+91P3kPfY+DT4lPj0+Wf55PpB+mL6Yvpr+oH6k/qo+tX7GvtT+2z7dvuG+537wPwf/PH+N/+pAQACMgNcBIYFiwZCBq8HAQdfB8kILQiKCPAJYgnDCfIJ8AngCeUJ/goVCigKVQq3CzULjQujC6wL7AxbDK8MxAzIDO8NJA0zDR0NHA1TDakN9w4wDlwOfQ6WDqoOtw6yDpoOfw5oDlEOPQ5FDnQOsA7cDwAPNw+KD+oQVhDLES0RVhFKEUARXRGREbURwxHOEeIR+hIZEkwSjxLFEtUSxBKmEokSZRIyEfYRxBGkEYERRREBEOkRIhGVEf8SLxImEgcR9RIEEjsSkhL+E4IULBUAFecWtxdYF9sYXBjhGVYZqhnkGhIaNRpFGkUaURp6GrIa2hrkGt4a3hrtGwIbFBsjGzgbUxtyG5IbsxvSG+scAxwjHFEchBy1HOUdFR05HUUdPh01HTIdMh01HUUdWh1VHSYc9Bz7HUUdpB3zHlIe/x/qIJggbx88HV0bcxnwGPEYahhXGK8ZUhoLGq8bJxtmG2YbNBr0Gswa1BsPG2UbrBvCG6MbYRsVGtMapBp+Gk4aEhnnGeMZ9hoBGgwaPhqcGvkbHhr+Gq0aPxnLGWgZKRkEGOEYpRg8F64XIxbLFqQWgBZQFkUWkhcPF14XVRcXFtIWihYzFdwVlRVaFRoU3hS4FKUUmhSMFHoUXxQ4FAcT0hOVE1ITEBLbEq4SfxJOEiER9BG9EXwROBD3ELkQfhBJEB0P+g/bD7sPlQ9wD1QPQw8xDxoPAw7xDuEOzg63DpYOag49DhgN8A2tDVsNLQ05DUsNIgzLDJYMowzDDLcMfAwwC+ALigs6CwIK3gq2CoYKYApICjEKEQnvCdMJtgmTCW4JTwk2CR8JBgjqCMoIqQiJCGwIUAg4CCUIFQgHB/4H+gfyB98HywfKB94H7wfnB8gHoweCB2IHPwceBwIG7AbYBsMGsAanBq4GuQa3BqMGiQZ5BnUGegaIBpsGogaSBnEGUQY2BhIF4gXABb8FxwWsBWoFOwVJBXoFhgVQBQEE1gTWBOAE1wS7BJoEeARYBD4EKgQSA/MD2gPRA9UD2wPiA+oD6gPcA8YDuwO8A70DtAOlA5oDlQORA4wDigOKA4YDfANuA2EDXQNcA0wDIALfAqYCiwKBAnICVgI5AiMCDAHvAdIBvQGtAZoBgQFnAU8BOwEmAQ8A+ADlANoA1QDUANQA1QDWANEAxgC6AK8AogCQAHgAXQBGAEIAZQCxAQcBOgEwAPMAmgA5/+H/ov+F/4H/gP95/23/YP9O/zH/C/7k/sL+o/6D/mD+O/4a/fr91f2w/ZP9gf1v/VT9Nf0Z/QX88/zf/Mv8tvyg/If8bfxX/EX8NPwj/BL8Avvy++P71PvG+7f7qvuc+4z7fPtw+2v7aPtj+1j7R/s2+yb7GvsQ+wb6/vr4+vL67frp+uX63vrU+sj6vPqw+qb6ovqk+qb6pvqn+qn6qvqn+qH6oPqj+qT6o/qk+qX6o/qi+qn6tfrA+sf6z/ra+uL65vru+vz7DfsZ+yH7Kfsy+z77S/tc+2v7d/uC+477mfug+6n7tPu9+8L7xfvL+8/7z/vP+9T73fvh+9/73fvd+9v71/vU+9L7y/vA+7j7s/ur+577j/uF+337dfts+2H7UPs3+xn7APrx+un65Prf+tr61/rW+tb61frV+tf62vra+tn62/rg+uT65frj+uH63vra+tX61PrW+tr63Prc+tz63frk+uz68vr2+v37CfsV+x77Jvsy+0L7Uvth+3D7gvuV+6r7w/vc+/T8Dvwp/ED8VPxq/Ij8qfzH/OX9Cf0w/VL9cv2X/cP97v4R/jL+W/6L/r3+6/8W/0D/av+X/8P/5f/2//7/+//V/3b/BP7r/3cAhwGqApADQQPkBIYFKwXwBtwHrggKB+EHbQbUBfcE1wPYA3oDyAReBNgFJwVtBcAGKAayB1wIAAhwCKEItQjOCPQJGAkrCTUJTQl8Ca8JwAmoCX8JZQlYCUAJEwjXCJsIZAgwB/YHsAdjBx8G9gbeBrwGeQYPBYsFAgSOBD8EEwP6A+UD0AO2A5ADXAMeAtoCiAImAb8BYgESAMkAfwA4//n/wf+J/03/Dv7N/oj+Ov3h/YT9K/za/I78RPv9+7j7cfsl+tL6evol+dn5mvll+TP5BPjb+Ln4nPiC+Gz4WvhO+ET4Pfg2+Cr4GfgI9/339vfm98H3ivdV9zD3GvcH9vf27vbx9vX28fbi9tD2v/au9p72lfaa9q72x/bV9s32wPbK9vj3PPd/97v3+fg8+ID4wvkH+Vj5tfod+oj66/s1+2T7hfuk+8P73Pvy/A38Mvxh/Jz84/0r/Wn9lP2s/b390/30/hf+Lv44/jr+K/3q/WL8tPwm++f77PwC/Ab7+/vv++778Pvt++n77/wI/C38Tfxg/G78hPyn/Mr84/zu/PP8/P0O/Sf9Qf1W/Wn9fP2S/av9yP3l/gT+Iv5A/ln+cP6J/qv+1P8C/zT/a/+k/9wAEABAAG0AmQDIAPsBMgFmAZgBygH9Ai8CYQKUAsYC8wMcA0MDaAOIA6MDwAPhBAMEJAREBGUEgwScBLoE6AUkBV8FiwWnBb0F0QXiBe8F9gX4BfsGBQYSBhwGHwYfBh8GHAYVBgsGAwX9BfYF7QXjBdoF0wXOBdEF1wXcBdoF0gXMBcoFywXSBd8F8QX9BgAF/AX3BfcF+QX+BgQGCAYHBgQGBQYIBgIF8QXfBdEFtQV/BRoFBwUcBSAE5wSEBDgEGwQTA/4D4QPOA8UDuAOiA48DhQN9A3UDbwNsA2cDXgNWA1EDTQNIA0QDRANHA0kDSQNKA0sDTQNPA1UDXQNmA3MDhAOcA7sD3wQEBCMENwRFBFoEfASuBOsFKgVZBWcFUAUjBPgE2gTGBLUEnwR8BEID6gOAAyIC5gLHAqwCgwJRAikCDQHxAckBkwFVAREAyQB/ADb/7v+r/2//Ov8I/tf+qf57/kf+D/3c/bT9j/1o/Uf9Pv1D/TT88vyA/AH7lvtH+wP6wvqc+rH6//tZ+4z7kPt6+2P7Wvtx+7P7//wF+436uvoH+fD6hftX+8L7b/qX+c/5g/mt+fb6Efns+az5h/mZ+dT6Dfor+jL6IPnZ+Uj4kff495/3a/cw9uP2lPZT9iT1/vXO9Y31SPUO9Nf0h/QU85fzLPLX8pLyYfJG8jHyFfH18d7x1fHP8cjxwfG68azxlPFy8UjxF/Df8KbwhPCg8RHxsfIh8hHxiPDe8GvwU/CI8OrxWPGx8d/x5vHd8dTxy/Gz8ZPxjPGw8dzx1vGQ8UrxR/GC8bLxovFm8TLxIvEl8R3xAPDf8NPw2fDT8KLwWfAl8BbwC+/k76fvb+9O70XvT+9e71fvK+7o7qLuWu4J7bvte+0/7Prss+yA7FjsHOvE62vrJ+rx6rTqb+ot6e7pr+ly6T3pEOjl6Lzol+hv6EPoGOf359zntud65ybmxuZj5gflueV45UPlG+T/5O/k5+Te5MTkjuRC4+zjjuMn4rziXOII4brhceE64Rfg9uDP4Kngi+Bt4EngKeAY4Anf7d/L37Tfpd+P33LfXd9R3z/fJ98h3zffWN9535/f0uAG4CngPuBO4F3gaOB84KDgyeDn4PXg/+EM4SPhT+GQ4dfiD+I84m/iqOLd4w3jQ+OC48PkAuRD5Ibkz+Ur5aDmFeZh5nrmg+aY5rjm5Oc257joP+iS6Lno7elR6cvqOeqi6xXrgevS7Bvsh+0c7bHuJ+6A7s3vD+9I75bwHPDY8ZzyNfKe8v3zffQf9Lr1KPVw9bv2IvaO9uP3Jvd199j4Q/iv+Sf5pPoJ+kX6aPqP+rn61vro+wL7JvtB+0r7TPtY+2/7mvvy/Iz9WP4w/v//0QC+AdAC7QP1BNQFkwZCBuUHcgfoCFYIxwkwCX0JqAnFCeYKCAobCioKXwrWC2oLzgvkC+0MNQyrDPgM9wzlDQgNRw1XDSsNBA0TDUgNfQ2pDdsODQ4zDk0OYA5qDm8Oeg6QDqAOpQ6vDs4O6w7qDtUO0Q71DzgPmhAfEKoQ/xEEEOsQ+xE+EYYRrhG8EcgR1RHmEggSQBJ7EpoSjBJdEh4RzxFsEQEQqhB5EGIQTBA5EEwQoBEbEYgRxxHgEfISDxI8En4S3BNYE/AUpBV0Fk4XCxeXF/kYUBiuGQsZXhmrGfUaLBpAGjwaQBpjGpIasBqzGq4asxrDGtQa5Br6GxwbRhtrG4kboxu8G9Ib6RwHHDEcZByZHM0dAB0qHT8dPx02HSgdGR0THR0dLR0lHPoc1BzeHRcdTx14Hc0emR/QIOchNSB0Hu4dPBvaGvQagxpyGqgbCRuBHAUcfxzKHMUcchvxG2wbBhrZGu4bLhtxG5YbjxtkGzUbHxsmGy8bGxrsGrsalBp4GnMalxraGxYbJxsFGrQaNBmTGPgYlBiFGL8ZAhkAGJcYAReTF08W5xY/FbgVxRZXFu0XJxcQFt8WqRZuFjYWDBXhFaUVYRUjFOkUrBRyFEIUGhPyE9ATvBOpE4YTVRMnEv4S0hKiEnMSRRIMEcYRgBFCEQYQxhCFEFAQKhAOD/MP1Q+2D5kPfg9kD1APQg8zDxkO9g7WDrcOjQ5cDjkOIQ30DaoNbA1dDWINRQ0IDOMM7Qz0DMoMfgw6DAILvQttCywLBArhCrcKkgp7CmoKUgo3Ch4KAgncCbEJigltCVMJNwkVCPAIygirCJIIfAhgCEAIJAggCDoIYAhvCFMIHgf6B/cIAwgCB+sHyQelB4IHYAdDByoHFQcABusG1AbBBrcGtwa1BqkGlgaDBncGcwZ6BoUGiQZ6Bl0GPgYfBfsF1gXDBcsF0QWwBW8FQwVVBYgFmgVmBRAE1wTOBNkE2QTEBKEEdARBBBQD9QPgA88DvwO0A68DsAO4A70DuAOnA5gDlwOhA6YDmwOKA3wDdgN2A3gDdgNzA3EDcANlA00DPANAA0wDNwL0AqYCdgJoAl8CSAIsAhQB/AHeAb8BpQGPAXgBYQFLATcBIQEJAPIA2QDCALMArQCsAK0ArwCwAK0AowCWAIkAeABiAEoAMwAiACYAWgC8ARwBOwEIAKsAUwAM/8r/jv9r/2T/aP9k/1n/TP88/yT/Av7b/rj+mP52/lH+Lv4O/fD9zv2r/ZD9fP1p/U39K/0N/Pj85/zW/MP8sPyc/Ib8cPxc/Ej8Nfwj/BP8Bfv4++z73/vS+8P7tful+5P7f/tw+2j7Zfth+1f7Sfs8+zP7Lvsm+xr7D/sI+wT7APr9+vn69Prr+uD61frJ+r76uPq4+rr6u/q8+sD6w/rA+rz6vfrB+sT6xfrG+sf6xfrC+sb60frc+uP66/rz+vn6/PsE+xT7J/s2+0L7UPtf+277evuI+5T7nvuo+7L7uvu9+8T7z/vb++H75Pvo++377/vw+/T7+/v/+/77/fv8+/f78Pvr++r75PvZ+8/7y/vF+7r7q/ud+5L7ifuB+3b7Y/tH+yb7C/r8+vX67/rm+t/63frg+uL64frg+uH64vrh+t/64vro+u367frs+uz67Prs+uv66vro+uj66frr+uv67frx+vn6//sD+wv7GPsi+yj7Lvs6+0v7W/tq+3j7iPuZ+6/7yvvk+/r8Efwr/ET8WPxt/In8qfzH/OL9BP0s/VD9bv2P/br95/4L/iv+Uv6A/rD+4P8Q/z3/Yv+I/7f/5gADAA0ACv/s/5T/Gv7g/0YARAFzAn0DVgQLBJcFDwW1BqkHmQf/B7kHJgabBgUFOARpBAgENwSoBQIFNwVsBbUGFgabB0sICQicCOII6wjmCPEJCgkhCTQJWAmaCeIKAgnoCbMJigl5CWcJQQkHCMIIfwhCCA8H3QehB2IHLAcDBtcGlAYvBa8FKQS4BG4ERQQsBBMD/APqA9MDrANyAywC3AKAAhwBugFiARUAzACEAD7//P+8/3r/Nv70/rD+Y/4M/bT9Yf0T/Mb8efww++z7p/td+w36ufpj+hX50/me+XD5RPkb+PT40Pix+Jv4jviE+Hr4cPho+F34Svg1+Cj4H/gI99D3f/cz9wL27vbo9uj27/b99wn3CvcF9wH2/vb69vL27fbz9wT3Gvco9yr3KPc091X3gvew9+P4KfiB+Nf5IPlj+a/6C/pw+s/7GvtM+2z7i/ut+8775/v//CD8TvyB/LT85/0b/Ur9b/2J/Zz9sv3P/ez9/f4A/f398f3F/WH80fxG++z7zPvO+9P71fvX+9r72fvQ+8b7y/vk/A38NfxQ/Gb8gPyi/MT82vzj/Oj88v0D/Rb9J/04/Ur9Xv11/ZH9sf3R/e7+C/4m/j7+U/5r/ov+tP7g/w3/Pf9w/6X/2gAOAD4AawCZAM4BCAFBAXcBrgHlAhoCTQKCArkC6wMWAz8DaAOMA6wDywPuBA4EJwQ9BFgEdwSWBLsE8gU0BXAFmQW1BcsF3AXkBeUF5QXlBeYF6gXwBfQF8gXtBekF5QXeBdYF0wXSBdAFywXFBcAFvQW7Bb4FxQXKBcYFvQW3BbcFugXBBc4F3QXmBeMF3QXcBeAF5QXnBe0F9QX5BfUF8QXsBd8FyAWzBaQFiQVTBO4E1wTgBNwEpgRTBBgEBQP9A+gDzwPDA8ADtgOjA5IDhwN+A3gDeAN8A3oDcgNqA2YDYgNcA1oDXQNjA2YDZgNnA2oDbwN3A4EDiwOUA6ADsQPDA9MD5gP+BBcEKAQzBEkEdgS7BQ8FYwWmBcAFpwVrBSsFAQTqBNgEwAScBGUEDwOgAzkC+wLnAt4CwgKTAmkCTgI1Ag8B2gGcAVkBFADLAIIAO//4/73/if9Y/yb+9f7E/pD+W/4u/gr94f2u/X79Zf1g/U79D/yl/DD7z/uF+0L7Bfrt+xz7g/vi/AL76Pu9+5/7jPuA+4L7jvt/+y36n/oX+e76U/sU+6r7m/rn+gr5k/ml+fP6Hfn++br5ifmP+cr6G/pa+mr6OvnG+SL4gPgI98H3jfdU9xP20faS9lX2G/Xi9aT1XPUM9Lf0WvP485rzRPL28rfykPJ58mPyQvIf8gfx+PHu8ejx6vHs8eTxzPGo8YDxWPEr8Pfw0vDy8XbyLPKQ8kPxavCV8DvwZvDQ8T3xmPHd8gPyBvHy8dvxy/G+8bHxu/Ho8hnyDvG28VfxSfGR8dvx3vGi8WnxWfFi8WDxRPEm8R3xJ/Ei8PHwpPBo8FHwR/Am7+jvpe9272nveO+O75Lveu9R7xvuz+5y7hrt2O2h7WHtH+zp7LjsdOwZ68LrgetJ6wnqw+p+6jvp+em96Y3pY+k76RXo8ejF6JLoZehI6Czn+eer51Hm++au5mPmGOXU5aPli+WA5XLlVuUx5Qbk0eSJ5DHj0uNu4wriq+JU4gbhxOGU4XXhWOE24RLg7+DJ4KHggeBs4FbgNeAU4ADf8t/Z373frt+q36Dfj9+P36vf0t/y4BHgOOBf4HrgjeCj4LngyuDZ4O/hCOEc4S3hQOFW4XLhnOHY4hniTOJ14qLi1eMG4zXja+Op4+fkIuRf5J/k6OVH5cHmNeZ45oTmhOaV5rbm5+dC583oU+ia6K/o2+lC6cHqLeqK6vDrWeu07BDsjO0k7bHuGu5u7sDvC+9H74fv7/CH8TXx1/Jh8uPzbPP+9IL04/Uo9W31yPYs9oP2z/ci94j3+fhu+On5Y/nL+hv6Y/qu+vT7JPtD+1/7efuB+3D7U/s/+0b7efvf/Gn89/10/eT+W/7u/60AmQGjAqsDngR+BVEGDwavBzoHvgg+CK0JAglDCXsJqAnDCdsKGQqUCykLlAu7C9kMLAymDPUM/Qz/DTwNkw20DY0NWw1QDWMNgQ2xDf0OSg53DooOnQ64DtYO+A8fD0EPVw9xD5sPvQ+xD30PTg9FD10PlQ/0EGUQphCQEFcQVBCgEQYRShFuEYwRrRHHEeASChJCEmQSURIHEZMRAhBaD7UPPA8ODyEPUg+HD8MQEhByENQRMBGMEeoSQRKLEtgTPxPKFG8VIhXfFp4XRhe+GAkYQRiAGMkZGhlyGckaDBoqGi8aOBpTGnQahxqLGo4amBqmGrQayRrwGyUbWhuAG5YboRutG70b0BvpHA0cPRxzHKwc4x0RHS8dOR0zHSIdDx0GHRAdIR0aHPUc0RzSHO8dAx0KHUweGB9nILUhWyEHH+sejR1jHKscaBx3HKoc5h0vHZceCx5VHkkd5h1MHJUb3xtPGwgbCBsuG1MbZRtoG2obfhujG8IbvhuYG2IbLRr/GuQa6BsGGyYbNhspGukaYxmbGMEYHhfzGEoY3BkrGPUYdxgeF/MXhBaTFYwVHxV7FjMWxRcKFxoXCxbrFs0WsxaGFjkV3RWEFSwUzRR2FDQUARPRE7ATrRO5E7gTnhN5E04TGRLgErESixJdEhkRzhGMEVMRGRDbEJ8QbRBFECcQDg/3D9wPuw+ZD4EPdg9oD0cPHQ79DuUOvw6IDlwOSQ4yDfwNuw2XDY0Ndg1JDScNIA0SDN8MoAx4DFoMHAu9C2gLOAscCvoK1Qq7CqkKlQp9CmQKSAohCfIJxQmhCYEJYAk7CRMI7gjQCL0IsQieCH0IXAhVCHkItgjXCLwIcwgsCAgIAwgDB/sH6AfMB6kHhgdmB0oHMAcZBwUG8AbXBr8GrwanBqIGmQaKBnsGbgZoBmcGYwZWBj0GGwX2BdQFwgXGBdkF3wXDBY0FZQVnBYYFjwVmBR4E5gTUBNcE0QS6BJMEYQQlA+8D0wPZA+4D8gPXA7ADlwOXA5wDkwN/A3MDeQOFA4YDeANlA1cDUgNWA1wDWQNPA0wDUwNQAzMDFAMVAzEDNQMBAq4CcAJYAk0COgIiAgsB8gHTAbMBlgF5AV0BRgE0ASEBCQDwANcAvQChAIwAggCBAIIAgwCFAIMAegBuAGIAUAA5ACMAEQACAAMAMACMAOQA9QC2AF4AJAAC/9X/lv9i/03/Tf9M/0P/Nv8o/xL+8/7P/qz+iv5o/kX+I/4G/er9y/2r/Y79dv1f/UL9IP0A/On81/zH/LX8o/yR/IH8cPxf/Ez8OPwl/BT8Bvv7+/L76fvf+9L7xfu2+6H7iPtz+2b7Yfte+1j7T/tH+0P7Qvs8+zH7Jfsg+x77HPsX+xP7DvsH+v368vrm+tr60vrP+s/60PrR+tX61/rV+tT61vrc+uD64vrk+uj66frn+uj68Pr7+wP7CvsR+xX7Gfsi+zP7RvtV+2P7dPuH+5f7pPuw+7r7wvvK+9L72Pvb++D76/v4+//8A/wH/Az8DvwP/BH8Fvwa/Bv8GvwX/BD8BvwA+/77+vvw++X73vva+9L7xfu3+6r7oPuW+4r7dvtZ+zn7IPsS+wz7Bvr++vX68vrz+vP67/rs+u367/rt+ur66/rw+vT69fr1+vX69/r6+v36/fr5+vX69vr6+v36//sC+wj7DfsR+xn7JPst+zL7OftI+1n7aPt1+4P7kPud+7D7zPvo+/38EPwp/Eb8Xfxw/Iv8rPzL/Ob9B/0u/VP9cP2O/bb94f4G/ij+Tv53/qD+zv8F/zz/ZP+E/7D/5QAKABcAFwAD/7v/Qv7v/ysACQE8AmkDawQ2BL4FHAWhBngHUAehB00GvQZRBfYFcATUBIAEnATtBS0FWAWPBd0GOgawB1IIFAi9CRsJKwkWCQgJEAkmCUEJbQm2CgcKNAolCe8JvQmiCY8Jbgk1COoInAhbCC4ICwffB6IHYQcpBvYGsAZKBcsFSwTlBKQEfgRdBDsEIAQVBAsD7gO3A3EDKALaAn0CFgG2AWQBGwDQAIIAOf/2/7P/bf8l/tr+jP47/ev9n/1R/P/8rfxh/Bj7zft/+zL65/qd+lX6E/nb+av5gPlY+TL5Cvjm+Mv4vfi1+Kv4ofiX+Iv4dvhf+FD4Rfgm9933cfcL9s72wPbP9uf3APcW9yP3J/cr9zX3QPdG90f3SfdT92H3cPd994f3kfee97H3yPfj+BD4YPjM+Tf5i/nL+gv6V/qp+vL7KPtM+2j7hful+8H72fv1/B/8VPyG/Kv8x/zn/RD9Pf1k/YH9mf2w/cf91/3b/df9xv2b/UX8yfxG++D7qfuY+537q/u7+8f7yvvC+7r7vvvU+/j8IPxF/GT8gfyf/Lz80Pzb/OH86/z5/QT9Dv0d/TP9TP1l/YH9ov3D/eD9+v4T/iv+QP5Y/nr+pf7Q/vj/Hv9K/3z/tP/uACYAWACHALsA9AEuAWcBogHfAhgCTQKEAr0C8QMdA0YDcAOWA7cD1gP4BBgELgRABFoEeQSaBMAE8gUtBWEFhgWjBb0FzQXPBckFxgXIBckFygXLBcwFyQXCBbwFtwW0BbEFsQWzBbEFrAWnBaYFqAWrBbEFuQW+BbsFswWuBa8FtAW8BcgF1QXaBdIFxwXEBckFzQXOBdMF3gXmBeMF2QXNBbkFmwWABW4FVQUkBMkEpQSYBIQEUwQZA/oD9gPwA9kDwAO1A7MDqgObA5ADiQODA4IDiQORA5EDiAOAA34DfAN4A3YDewOCA4UDhgOIA4wDkgOcA6wDugPHA9YD6AP1A/oD/wQQBCwEQgRQBGYElwTmBUQFngXiBf4F5gWoBWUFOAUjBRAE8wTKBJIEQQPVA2sDKQMVAxMC/gLTAqkCjAJzAk8CHAHgAZ4BWAEQAMkAhgBGAAv/1f+i/2//Pf8M/tr+qP56/k/+IP3q/bn9mP2C/V/9Hfy8/Fb8APu8+4P7WPtX+5f8AvxV/F/8LPvu+8H7mvtq+zr7F/r6+s/6i/o/+hn6TPrc+3r7rvtJ+pf6GvoL+jf6TPos+fT5y/nJ+fL6M/ph+k356PlV+M34cPg2+AD3vfd09zL29/a39nP2NfYC9cn1d/UH9In0GfPG84fzSvMJ8tXyuPKp8pLyb/JL8jLyJPIb8hnyHPId8hPx//Hj8cDxmPFm8SXw8vEP8aryhfMB8qTxnvCl8E/woPEz8avx7vIP8iDyHvIG8ebx1fHd8fzyLPJl8ojyZ/H78YbxYPGX8eLx9fHN8aLxlvGf8Z3xhPFl8VXxWfFY8Tjw+vC+8JzwhvBh8CLv3++x76Tvru+7773vuO+t74/vSe7g7njuLe337cHthu1P7RPsxuxr7Bnr2Oub61nrFerR6ozqSuoT6ejpv+mW6XHpTuki6OvouOiS6GroK+fZ54fnRecL5srmgeY95hDmAuYA5e7lw+WM5VflIuTf5IvkL+PR42/jC+Ks4lriG+Hx4dXhvOGc4XfhUOEn4P7g2+DA4KLggOBj4FHgQeAo4BDgCeAM4Ajf/+AH4CjgT+Bs4IPgoOC94Nbg7+EP4SzhPOFB4UjhU+Fh4XXhkOGu4c7h+OIv4mfilOK54uHjDuM742rjoePf5BnkUOSI5MTlCuVp5eTmVuaP5pDmheaR5rPm6udP5+DoZeik6LHo2ulE6cXqK+p46s7rNuui7Bbsmu0k7Zjt9O5Q7rnvFe9S74Dvy/BJ8OvxlfI18sjzU/PW9Ef0nvTf9SH1dvXX9jT2ivbl90z3wPg8+Lr5MPmT+ez6S/qx+wr7R/tx+5z7yPvf+9L7pvtx+1T7b/vL/Ez8zP01/Yr91v4m/o3/Iv/jALEBeQJDAxsD9AS6BWoGFQbBB14H2ggzCHQIpgjOCPwJSQnCCkkKsgrtCyMLgwv7DFIMeAyiDQANbg2nDZ4Nhg2EDZQNuQ4JDn8O4A77DuUO2Q7vDxAPLw9QD3cPoA/QEAsQNxAvD/YPuw+jD6YPsQ/KD+sP6w+sD10PTg+YEAUQWxCeEOwRQhGGEbIR3BIMEiYSBRGcEPgQKQ9DDnAN5A3CDgIOeQ72D18PtBAIEG4Q8BGIEh4SnBL/E14T1BRmFQMVnRY1Fs4XWhfCGAMYMxhnGKYY7xlAGZUZ3RoIGhwaLBo/Gk4aVhpdGmwafBqKGp4awRr3GzIbZBuEG5IblBuVG58bsRvLG+4cGhxRHIwcxhz5HRwdLR0sHR8dDR0EHQ8dJh0tHRYc8RzVHMUcrRyXHMUdfh7BIB0g/iEPIGUfYR5mHbwdfB2QHcYd/R4+HpwfAB8yHxQeuB4+Ha4dChxrG/cbrht5G0obNxtTG5Ub3xwRHBwcAxvbG7IbihtfGzQbFhsNGxUbJhsuGwsanhniGP8YNxfYGAYYixjoGMYYWhghGDIYCRc3Ff8VGhT+FYQWQxbqF1IXdRdrF1gXPhcAFpYWIRW+FWgVEhTHFJIUZBQvFAAT8RP8FAIT9BPUE6ATWRMOEtwSyBKwEnkSKhHcEZ4RaxE3EP0QvxCGEFsQPxAqEBIP8Q/ND68Png+ND3EPTQ8zDyMPBA7MDpUOeg5oDkAOAw3UDb4NpQ18DVYNQg0sDQMM2QzIDLcMegwTC7MLfwtmC0YLGgr2Ct4KyQqyCpkKfwpcCjEKBAndCbcJkAlnCUAJHwkECPMI7QjlCM8IrgieCLYI6gkKCPIIqghcCCgIEggMCAkIAQfwB9MHsgeRB28HTAcqBxAG+QbgBsIGqQabBpYGkQaIBnkGZwZXBkgGPQYwBhkF9QXMBbIFtgXQBegF6gXSBaoFggVqBWIFWwVCBRcE7wTaBM8EuwSYBG0EPAQEA9QDzwQDBE4EagQ4A9wDmQOHA4oDfgNjA1UDXANlA2EDUQNCAzgDMwM2AzwDNwMnAx4DKQMwAxoC9QLuAwoDHgL+ArYCdQJPAjkCJgIUAgEB6QHJAaoBjQFuAU4BNAEhAQsA7wDUALsAoQCDAGoAXgBbAFkAWQBbAFkATwBDADkAKwAWAAP/8//j/9f/7QA2AI8AvACrAIMAaABMAA7/sP9f/zj/Mf8x/yz/Iv8U/v/+4/7D/qH+fv5c/jv+HP3//eT9yP2r/Yz9b/1S/TT9E/z1/N38y/y7/Kr8mfyI/Hv8b/xh/FD8PPwq/Bn8Cvv/+/f77/vn+9771fvI+7P7mPt++237Zftj+2H7XPtX+1b7V/tU+0v7Q/tA+0H7P/s6+zX7MPsp+x77E/sH+vz68vrs+un65/rl+ub66Prp+ur67vrz+vf6+vr/+wf7DPsM+wz7Evsb+yT7LPsz+zj7PvtK+1z7bvt8+4j7mPur+7z7yvvX++D75vvr+/T7/PwA/AP8C/wX/B/8JPwn/Cv8Lfwt/C38MPw0/DT8M/ww/Cr8Ivwb/Bb8EPwG+/r78Pvp++L72PvL+7/7tPuq+5v7hftp+0z7Nfso+yL7H/sa+xP7DvsJ+wP6+/r3+vn6/fr9+vj69vr4+vr6+vr5+vj6+vr/+wX7CPsG+wL7BPsL+xD7E/sV+xv7H/si+yj7MPs3+z37R/tY+2n7dvuC+5D7nfun+7b70fvu/AP8E/wr/Ej8Yfx2/I/8sPzQ/Ov9C/0y/Vb9c/2R/bb93f3//iP+S/5z/pb+wP75/zb/Y/+G/7D/5AAJABcAHAAY/+n/fv8V/xf/ugDVAhgDRQQ0BM8FMAWcBjwG2QcWBuIGiQZKBhEFrwU8BP0FCgU5BWcFnAXnBjwGhgbYB1gIDAjCCT0JZwlZCT8JOQlJCWYJkgnRChoKTApOCikJ/QndCcIJmglcCRAIwwiGCF4IQAgXB9kHlQdbByYG4AZ4BfgFfwUlBOwEwwSVBGcESQRDBEUEMAP7A7cDdAMtAtQCagICAa0BYgEUAMEAdgA1//X/rP9b/wf+tP5l/hz91f2I/TL83vyS/Er7/vuu+2D7G/rZ+pf6WPog+ez5vvmV+XH5TPkn+Qn4+Pju+OX42vjQ+MT4rviT+H74bfhI9/f3f/cL9sb2vvbe9wf3KvdC90/3Vvdf9273ffeF94r3lPek97X3wvfP99336vf2+AL4Evgt+F/4tvkr+aD59/os+lT6gfq1+ub7Dvsu+0z7afuI+6b7wvvh/An8OPxk/IL8lPyr/NX9Dv1F/Wr9ff2K/Zz9sv3D/cP9p/1n/QX8jvwa+8L7kPt/+4T7lfuq+7v7xPvG+8b7zfvc+/L8Evw3/Fv8efyT/Kv8wfzQ/Nr85fzx/Pj8//0O/Sr9SP1j/X79nf28/df97v4J/iT+Pv5Y/n3+qf7V/vn/Gv8//27/qP/oACkAYwCXAMoA/gEzAWoBqAHmAh8CUQKFArsC6wMVAz0DaQOTA7UD1AP2BBUELQRDBF8EfwSeBL8E6AUXBUAFYgWDBaIFtAWyBagFpQWqBa0FqwWpBakFpAWbBZQFkwWWBZoFnQWcBZcFkQWOBZIFmgWiBakFsQW0BbAFqAWjBaQFqAWwBbwFyQXOBcUFtgWvBbEFtAWzBbcFwAXIBcUFugWrBZIFcQVSBT0FJwT9BKcEfARfBD4EEQPrA+ID6gPpA9QDvAOwA6kDnQOSA40DjAOMA48DmQOiA6IDmgOVA5UDlgOUA5QDmQOgA6QDqgOwA7YDuwPFA9YD6gP6BAsEGwQmBCcEKAQ6BF4EfwSSBKkE3AUuBYwF3AYQBiAGDAXcBakFigV7BWkFRgUVBNsEjgQsA8kDhANmA1gDOwMPAuUCxgKpAoMCUwIcAd0BlgFNAQkAywCPAFYAIP/s/7j/hf9T/yD+6f6t/nD+Nv4D/dn9t/2R/V79GPzF/HD8J/v1+9j7zfve/Bj8bfyt/Kz8cPwh+9f7j/tD+v36zPqu+pj6g/pt+mH6f/re+2D7rvuO+yT6zPqz+rn6qfp++lf6RvpN+mX6gvp6+iT5hvjm+Ib4avhb+CP3x/dr9yf28va69n/2TfYm9fX1m/UQ9G/z5vOP81/zNfMG8uLy1PLP8r7ynfJ88mbyW/JV8lTyUfJJ8j3yM/Il8gjx2fGZ8U/xFPEr8cLyo/Mx8u3x+vEG8K/xBfGk8hzyRvJC8j7yRPI+8iLyDPIg8mDyrfLi8unysvJI8dnxofGx8eDx+PHx8eXx4/Hk8djxvPGb8YTxfvF88WfxOfEE8N3wwPCX8FrwG+/x7+Lv3+/c79rv5u/57/Xvt+9F7svucO437gnt1+2h7WHtE+y/7HLsLevq66brZOsk6uLqoepu6kfqIOn06c3pq+mB6UjpDOjY6KToZegf5+Dnqudz5zHm6uat5ojmfOZ15lvmJuXm5a3ld+U15ObkkuQ649rjcOMK4rbieeJR4jbiHOH84dbhr+GI4WDhO+EZ4Pfg1uC84KngluB/4G3ga+Bx4G7gauB24JfgueDQ4OLg+uEV4TDhUuF54ZfhoeGc4ZjhnuGs4cLh4OIC4ijiVeKI4rji3uL/4ybjUeN9467j5+Qi5FfkiOS85PPlNeWS5grmdean5p7mi+aT5rfm9edg5/Podeiz6MLo7OlR6cfqIOpl6rfrI+uf7B/sm+0I7WHtve427sDvLO9g73nvrvAh8MPxcfIS8qHzJfOf9AX0UfSM9M31I/WH9ez2Tvaz9x/3lvgW+Jb5Bvlg+bT6G/qP+vH7Mftg+5n73fwW/C38G/vq+7j7rfvc/Dj8of0E/V/9rv3w/jL+i/76/2n/1ABVAQEBxwKGAzoD+ATFBYcGGwZ3BrEG4QceB3MH5AhoCOoJUwmjCfEKVQrBCxMLSQuNC/gMbgy8DN4M9w0ZDUINgg32DokO5w7ZDogOUQ5WDnoOnw7NDxAPWw+hD9wP+w/pD6sPbg9SD0cPKw79DsoOjg5DDgYODA5hDtgPRA+sECgQrBESEU0RcBGLEYoRVBDeEC8PVw5uDaANIg0UDXEOFA7HD2IP2RBBELkRUBH3EpUTHROTFAoUjRUVFZMWAhZvFuQXVxezF/EYIRhTGIoYxxkPGWIZshnsGg0aHRokGiMaIBonGjkaTBpgGn0arBriGxAbNRtUG24bfBuCG4sbnxu9G+EcChw7HHQcsRzpHRIdJh0nHR0dDh0FHQ0dKB1BHT4dFxzYHJQcUBwgHDYczR3mHzAgNCCkIHgf3x8YHmceAx3zHhMeQh5/HtUfIh8zHv4esB5yHjkd7R2VHUEc5BxkG9YbgRuVG/UcURxuHEkcCxvaG8EbsBuRG2MbMhsLGvUa8BrxGt4amxogGXkYyhhMGDQYdBirGIAYFBfdGAoYMRfJFssVuhUgFS4VxhaWFz0XhheGF3YXXxcfFq0WNRXhFasVexVTFToVHhTrFK8UiBR6FG8UWxQ5FAATqxNOExETAhL/Et8SmRJDEfcRvRGLEVIRDxDNEJgQdBBYED0QIRACD+MPyw+7D6kPjg90D18PQw8UDt0OtQ6ZDnEONg4DDeINxA2bDXQNXQ1JDSgNBQz2DOsMvQxmDA0L1AuuC4MLTgskCwoK+ArjCssKsAqQCmkKQgodCfUJyAmcCXkJXwlKCTwJNwk1CScJCgjxCPIJCgkYCQMI0gifCHoIYAhICDIIHwgLB/MH1we5B5gHbgdABxkG+QbfBsUGrQacBpIGigZ+Bm4GWwZGBjIGIQYSBf0F2wW3BaoFvwXjBfYF6wXRBbIFjAVdBTMFGgUOBP0E5wTUBMIEogRzBEAEEQPiA8ED0wQvBKME0wSNBAYDnQN6A3oDaQNJAzkDQQNKA0MDMwMpAyIDHAMaAx4DGQMFAvcDAAMPAwUC5gLWAuYC9wLlArECdgJHAiMCCgH+AfMB3AG8AZ4BhQFoAUYBKAEPAPQA0wC0AJ0AhQBrAFQARwA/ADcANAA1ADIAJQAXAA8AB//3/+b/2f/G/6v/pf/VADYAlwDTAOcA2gCiADn/vP9Z/yb/F/8U/xP/Dv8D/u/+1f64/pf+dP5S/jT+Fv35/d39w/2p/Yv9av1K/Sr9C/zv/Nn8yPy5/Kn8mPyH/Hr8bvxi/FL8QPwv/CD8EvwF+/v78vvr++b74vva+8f7rfuT+4D7d/t1+3X7c/tv+237bftt+2n7Zftl+2f7Zvtg+1v7VvtO+0P7N/ss+yL7GPsP+wn7A/r8+vn6+/r++wD7A/sH+wv7EPsY+yP7K/sv+zH7Nvs9+0b7TvtY+2H7avt3+4n7mvuo+7P7wfvQ++D77vv8/Af8DfwS/Br8JPwq/Cz8MPw4/EH8R/xJ/Ez8TPxM/Ev8TfxP/E38SfxG/ET8QPw6/DL8Kfwe/BL8Bvv7+/H75/vb+9D7xPu3+6T7jPtx+1n7Rfs4+zL7Mfsw+y37Jvsc+xH7B/sD+wb7C/sM+wj7BPsD+wH7APr/+v/7APsE+wz7EvsT+xL7F/sg+yb7J/sp+y77M/s2+zr7QPtE+0j7VPtm+3b7gvuO+577rfu2+8P72/v4/A38Hfwz/E/8avyA/Jn8t/zV/PH9EP0z/VX9c/2T/bj92/37/h7+Sf51/pr+wP7z/yz/XP+D/7D/4wAHABMAGgAhAAv/uf9H/xD/YwBJAYkC1gPtBK0FJgWJBfgGaQa5Bt8G6gbfBq8GYAYWBe8F4gXbBegGIwaABswG7QcJB18IAAi9CVMJmwmfCYMJcQl6CZUJuQnlChkKRgpYCk4KNwoeCf8JzQmJCT8I/gjMCKcIhAhVCBYH1AedB20HKwbIBk4F3QWJBUwFEwTSBJcEeAR5BIMEdQREBAIDwAN7AyMCtgJKAfEBpAFUAQAAtABzADD/4f+J/y/+2f6J/kP+Af24/WP9EPzN/Jf8YPwb+8r7dPsg+tn6ovp2+kr6Gfnq+cL5ofmD+Wv5XPlT+Uj5O/kt+SD5Cfjp+Mf4qPh6+Cj3s/c/9vz29vcZ90L3Yfd294T3jvea96n3tve998T31Pfu+An4Hvgt+Dn4QvhN+GD4f/ip+OD5L/mX+f76Rvpl+nD6f/qY+rj62/r++x77Pvtj+4/7ufvW++j8Afwm/E38a/yF/K786v0p/VP9Yf1h/Wn9gf2b/Zz9cP0W/KP8MvvZ+6T7j/uN+5P7nPup+7b7wfvK+9X74fvr+/b8Cfwo/Er8Zvx9/Jb8rvzC/M/83Pzq/PT8/f0P/Sz9Tf1p/YL9nv26/dL96f4F/if+R/5m/oz+uP7i/wb/Jf9J/3X/q//rADAAcgCtAOABDwE+AXQBsQHuAiMCUAJ9Aq0C2gL/AyUDUQN+A6QDxAPkBAIEHAQ3BFYEdgSVBLIE1gT9BSEFRQVsBZAFoQWcBZAFjAWQBZAFjAWIBYYFfwV0BW0FcQV9BYkFjQWKBYMFfgWABYkFlQWfBaQFpQWjBZwFkwWMBYkFiwWQBZwFqgWxBasFoAWYBZkFmwWbBZoFnQWfBZwFkwWCBWcFRgUqBRgFAwTbBIgEYgRFBCID9QPUA88D2wPeA9IDwgO4A6wDnQORA48DkwOWA5kDogOrA6wDqAOnA6oDrAOsA64DtAO8A8IDzAPYA+ID6APxBAUEHAQvBDwESARTBFgEYAR4BKMEzATmBP8FMgWFBd4GHwY8Bj8GLwYTBfgF6QXjBdcFtwWDBUME9ASZBEED/wPTA6wDfANJAx4C/QLaArACgQJPAhUB0AGJAUcBCwDUAJ4AagA3AAP/0P+c/2H/Gv7G/nD+J/3z/c39qf18/Ub9DPzM/If8T/w6/Ef8Xfxu/In8ufzp/O78ufxd+/f7k/s5+vb6zPqw+pv6kvqa+rL62/se+3D7pfua+2f7Q/tC+z77EvrR+qr6sPrT+vb6/vrC+ir5Xvi5+Hb4dvho+Br3qfdG9wb22vaz9o/2cfZU9iT1xvUx9Hvz1/Nt8zjzF/L58ury8vL+8vXy1vK18p7ykvKL8ojygPJy8mjyafJp8lDyHPHg8azxivGZ8fTygfLe8rLyDPFe8SHxcfID8m7yf/Jc8k/ycPKR8obyZvJy8rvzDPMq8w3yzvKG8kDyDPH38fvyCfIa8iryMPIl8grx6vHN8bnxrfGk8Y3xYvEy8Q7w8/DL8I/wUvAo8BLwAu/07/PwDfA18EHwC++X7xbus+547kzuHO3k7aXtX+0V7Mzsguw46/LrtOt46zfq+erI6qTqfupR6ibqAenX6aDpYukn6PDoueiD6FHoGufY547nSucY5vrm6ubZ5rbmfuZA5gXlyuWG5Tvk8OSg5EDj0+Nr4xfi3eK14pjie+JZ4jLiC+Hm4cDhmeF14VThNuEd4Qfg8uDe4NLg0uDT4M7gy+DY4PThDeEd4S3hROFg4X/hpOHL4eXh6OHe4drh4+H24g/iLOJO4nbipuLZ4wPjIeM+42Xjk+PD4/fkMeRm5JPkvOTq5R7lXuW35ivmj+a35qjmlOac5sHnA+dw5//ofOi76NTpAelY6bnqCepU6rLrJ+uk7BzshOzX7SLti+4k7svvPu9l72rvlfAM8LbxZPH38nLy6fNe87/0AfQ19Hn01/VC9a32GfaJ9vz3cvfw+G741/kl+XD51PpM+rT6+fsu+3D7w/wW/FX8d/xz/FX8OPw3/FP8gfy9/Qv9Y/22/gb+W/6t/uv/Gv9g/9YAZgDuAXICEQLSA48EFARWBHQEngTzBXYGEgasBzcHsAgcCIII5Ak3CXAJnAneCkYKvQsgC2wLtAv9DD4MjQ0HDZMN3A2uDUEM/w0TDVkNqw4PDo0PCA9eD4QPfw9QDvwOpA5lDjEN6g2IDSMM0wyhDJsM2Q1aDfsOlg8jD6gQGxBnEIYQihB7EFMQCw+nDy0Ong4GDYQNQQ1WDcQOdQ9CD/8QmREZEZoSJxK1EzoTtxQ2FLsVOxWoFfwWQxaVFvkXYRezF+gYDhg1GF4YkBjWGTMZlBncGgEaChoFGfsZ8xn3GgcaHBo2Gl0ajRq1Gs8a6RsSG0cbcRuHG5Ibohu9G+AcBhwwHGQcoRzfHQ8dJR0lHRwdER0KHQ8dJx1EHUUdEByyHEkb7RuwG7EcGxz3HhYfJR/kIDYgGx+mHwwelB5cHlAeUh5pHqEe2x7eHqAeVR4vHigeJB4fHhcd5h1qHMEcSBw+HH4crxyYHEsb/RvSG8UbvBujG3kbSRsZGusaxBqmGooaYhonGdAZWxjlGKMYqxjLGLEYVxgKGAgYKRgKF3YWjxW0FUoVhBY5FvEXSBdJFzgXLRcEFqsWTRYXFgEV7hXcFdEVvxWUFVkVKBUGFOcUxRSiFHAUHhO4E2cTQxM+EzITBhK+Em0SIhHiEaERWhEYEOMQuBCQEG0QUhA6EB0QAw/1D+4P1g+uD4YPZw9HDx0O8g7LDp8OaA4xDggN5A25DZINeg1nDUUNHA0FDQAM8Qy/DHUMLAvrC64LeQtVC0MLNwslCwwK6wrECpsKdwpYCjQKBgnWCbMJnwmUCY4JjAmLCYIJaQlKCTYJLwknCRQI/wj1CO8I2gitCHQIQwgfCAQH6gfQB7IHjAdeBy0HBAblBs4GuwaqBpsGjAZ6BmQGTgY6BigGFQYEBfAF1wW/Bb4F2wX+BgQF6AXGBa4FjwVZBRwE9QToBN8EzwTABLIElQRgBCUD9QPNA7QDywQpBKME1gSOA/8DjANlA2ADSwMpAxsDKQM2Ay8DHgMTAwwDAwL+AwEC/wLtAtwC3gLtAu4C2gLGAsUCyAK7ApoCcAJAAhMB8wHoAeIBzQGrAY0BdwFcAToBGQD8AN0AugCbAIMAbQBWAEQANwApABkAEQARAA4AAP/w/+n/5f/Z/8n/vf+s/4r/av97/9EATQC8APYA7AChAC3/u/9o/zX/FP7//vb+9P7t/tv+w/6q/ov+af5I/iv+Dv3w/dT9vP2m/Yr9av1J/Sj9Cvzx/N38zfy+/K78nfyM/Hz8b/xj/FX8Rvw3/Cr8HPwP/AL7+Pvy+/D78Pvq+9v7xfuu+537lPuR+5H7kfuM+4j7hvuH+4f7hfuG+4j7iPuE+4D7fPt0+2f7W/tR+0f7Pfs0+y37Jfsc+xf7GPsb+x37HPsd+yD7Jvsv+zr7RvtP+1b7Xftk+2v7c/t/+4v7l/uk+7X7xvvU++D77Pv6/Ab8Evwf/Cv8M/w5/EL8TfxU/FX8Vvxc/GT8avxs/G38bfxs/Gv8a/xq/GX8XvxZ/Fj8WPxU/Ev8QPw2/Cz8IPwT/Ab7+fvt++D70vu/+6f7jft0+2D7UftG+0D7QPtA+zz7NPsp+yD7GPsV+xf7GvsZ+xf7FPsT+xH7D/sP+xH7E/sX+x37JPsn+yn7L/s4+z37Pfs9+0H7R/tM+1D7U/tW+1n7Y/t0+4P7jvua+6z7vfvJ+9T76fwE/Br8K/xA/Fz8ePyR/Kj8wvze/Pr9GP04/Vf9dP2V/bv93v38/h3+Sf54/qP+yv72/yX/Uv98/63/4QAIABgAHQAjABn/4f97/x7/JP/EAOoCRQN6BF0E9QVgBb8GMAbDB2UH2wf1B8EHiAd2B24HOwbnBr0G7gdNB4IHcQdYB4cIEwjMCWwJxAnSCbUJnAmgCbwJ2wn3ChcKOQpUCl0KWwpRCjcKBwnFCYQJTwklCP4I1QijCGcIKQfxB8AHgwcsBsIGWwYEBbYFYgUKBMUEqgSzBMMEuASKBEsEDAPJA3IDBAKXAjsB7AGbAUYA9gCsAF8ACP+v/1j/A/6y/mv+Lf3p/Zb9Rf0R/P788vzG/Gr77Pts+xD65vrZ+sf6nfpk+jD6C/n0+ev56fnm+dn5wfmr+Zn5g/lf+TD4+/i++Gn3+/eQ91H3Sfdg93n3ivec97D3wvfP99336/f2+AH4Fvg7+GX4hviW+J34pPi2+N75FPlK+Xb5pfnk+ij6Vvpg+lf6Vfpj+n36ofrJ+u77EvtC+4H7ufvM+777ufvc/Bz8Vvx4/Jj8yv0J/Tr9Sf1C/Tz9R/1V/Uf9C/yl/Db72/um+5X7nPuo+6/7r/uw+7T7u/vG+9X75vvz+/v8CPwg/D78WPxt/Ib8ofy2/MT80vzl/Pj9Bv0Z/TT9Uv1s/YP9m/21/cv94v4A/iX+Sv5t/pL+vf7n/wz/MP9X/4H/sv/rAC0AcgCyAOcBFAFAAXQBsQHsAh0CRgJxAqECzALwAxEDOQNlA44DsAPNA+cD/wQZBDcEWAR4BJgEvQTjBQcFLgVZBYEFkwWOBYAFeQV3BXMFbQVpBWcFYAVUBU0FUwVkBXMFewV5BXUFdAV6BYYFkQWYBZcFkQWKBYQFfgV5BXMFcQVzBXkFgQWFBYQFgAV+BYEFhQWFBYAFegV1BXAFZgVSBTUFGQUGBPkE4wS6BHsEZgRVBDID/QPRA8QDzAPUA9EDywPFA7kDpwObA5sDnwOiA6QDqwOzA7cDuAO6A74DwAPAA8QDzgPXA94D6AP5BAkEEwQfBDUETwRjBG4EdwSFBJYEqQTHBPEFGwU3BVEFhAXVBikGYAZxBmwGYAZPBj4GNgY4BjoGLAYDBb4FZgUIBLUEdgQ/BAIDvwOEA1gDMwMIAtoCrQKAAkoCCgHGAYYBTAEXAOQAtACBAEsAFv/g/57/Rv7a/m3+Fv3c/bP9iv1c/TT9Efzo/LP8i/yS/L/84/zg/NH84v0R/Sf8/Pyc/Cv7wvtq+yr7Afri+sH6r/q/+vH7M/tv+5j7oPuF+2X7Z/uF+4r7Tvrr+qT6p/rr+z77W/sK+kn5ZPjC+I74jvhp+Ab3j/cy9vn20/a69qv2nvaE9lL1+fVp9LDz/fN+8zjzEfL68wDzJPNG80PzHvLy8tPyv/K08q7yqfKf8pryn/Kh8ojyWPI08jXySvJa8l3yXPJT8jDx8PGv8Z3x2PJF8pbyk/Jd8k7yjPLZ8ubywvLC8wbzTvNQ8xHy0PKy8qTyivJi8kLyOvJK8mHyZ/JT8i/yEfH98fHx6PHY8brxjPFd8T3xI/D88MDwgfBS8DXwHvAP8BbwOvBo8HfwRe/c72nvFe7g7rHud+4y7e7trO1p7SLs1eyH7D/sAuvI64zrUOsh6v3q1uqo6nnqTuok6fTpvumJ6VbpJOj06MDof+gz5+bnp+d651znRecq5wLmz+aX5l3mHuXY5ZLlTuUD5KPkM+PL43njQeMa4vvi2+K24o3iZOI+4hnh8+HR4bPhl+F94WbhUeFA4TfhNOEw4SjhJuEx4UXhVuFg4W7hheGi4cHh5OIE4hXiFOIO4hHiIuI64lXicOKN4rTi5uMc40TjXuN4453jzOQA5Dfkb+Sd5L7k3eUE5TTlc+XN5j3mmua85q/mnuao5svnDOd25/7odOi16NfpBulQ6aPp9upT6sHrNeuh7ATsWeyh7O7tZe4Q7r/vMe9S71Xvg/AD8LfxY/Hh8kHypvMW83fztvPp9DP0m/UN9X718vZs9uL3UffD+DT4kfjV+Rj5evn1+mP6svr0+0P7n/v//Fv8qvze/Oz84vzP/Lj8n/yX/LX89/1L/af+Df50/sb/AP9A/5r/+wBHAIsA7wF+Ag0CYwJ1AnACkQL3A5QEPwTcBWwF/AaMBwsHZQeVB6kHvgf1CFgI1QlOCboKIAp9CsgLEAtwC9oMDwvpC50LiwvYDGAM+A2hDlsPAA9hD3UPUw8IDpIOAA1zDPgMggwGC5ULTQtAC3QL8QyvDZEOZQ8HD2UPhw9/D2QPQA8PDtAOjw5hDksOPQ4sDiEOMQ5yDusPlRBYERERqxIoEp0TEBN+E+gUVxTRFU0VtRYAFjQWaha3FxsXfxfHF+0YAxgXGDEYWRieGQYZdxnJGeoZ6RnbGc8ZyRnOGeAZ/BohGk0aeBqUGqMauRrrGzIbcRuUG50bohu1G9YcABwpHFYcjxzPHQUdIB0jHR0dFx0UHRcdJB0tHRMcwRxLG9kbgxtLGz0behwZHQQeCh75H60gBB/vH5UfOR7/HtAekh5fHmMekR6kHnQeIh3iHccdyR3pHhgeJh3lHWkc/xzaHNscwxx+HC4b+xvnG9wbwxudG3cbVRswGv0awRqJGlgaLBoBGc0ZgxkoGOUY5hkiGVcZShkBGKgYXxghF8QXJBZNFZ4VgxYKFr4XIBciFw0XCRb6FsYWihZqFl4WTBYzFiAWDRXrFb4VlxV2FU4VIxUBFOAUpRRHE94TkBNrE2ETVRMxEvASohJSEgIRsRFqETURCBDXEKsQjhB4EFsQPBAsECYQDQ/ZD6QPgw9tD00PIw79DtcOpg5wDj8OFQ3pDb4Nnw2IDWUNNQ0TDRMNIA0SDNYMfgwnC+ULuwukC5ULhwtyC1ULLgr/CtIKrgqTCnMKSAoVCesJ1QnTCdoJ4QnkCd0JyQmqCYkJaglNCTUJLgk6CUcJNwj8CKsIYwg0CBYH+wffB8EHoQd7B00HHgb4BuAGzQa8BqsGmgaDBmUGSgY3BikGFgYCBe8F4AXXBd4F+wYYBhMF7AXFBbIFnAVqBSgE9QTbBMYErwSjBKIEkgRhBCED7wPNA7QDuAPxBEcEbgQ3A8YDbQNQA0kDLwMKAv8DEQMiAxsDBQLzAukC4ALcAuAC4gLWAsUCwQLMAtACxAKxAqMCmQKNAn0CZgJAAhAB6QHZAdEBvQGaAXoBYAFFASQBBQDrAM4ArQCNAHEAVwBAADAAJQAU//3/7//t/+r/3P/O/8n/x/+6/6n/n/+T/3P/Rv83/2f/zQA6AHwAfgBMAAz/2v+z/4D/Pf8A/uD+2P7Q/sD+rP6W/nv+W/48/iD+BP3m/cz9tv2i/Yr9bf1N/S39Efz6/Of81fzE/LT8pPyS/IH8c/xp/F/8U/xF/Dn8LPwd/A/8BPv++/37/fv5++z72/vK+7z7s/uw+7H7sfus+6X7ovui+6L7oPug+6H7ovuh+6D7nfuW+4n7fftz+2r7YftY+1L7TPtF+0D7P/tB+0D7PPs6+zv7QPtH+1H7XPtp+3f7g/uM+5P7mvum+7T7wvvR++H78vwA/A38G/wo/DL8OfxC/E38Vvxc/GT8b/x4/Hr8e/yA/Ij8jvyO/I38jfyM/In8hvyD/H78dPxr/Gf8Z/xk/Fz8U/xL/ET8Ovws/B38D/wB+/H73/vI+6z7j/t3+2j7XvtX+1P7UftN+0T7Ovsy+y37K/sp+yj7J/sl+yT7Jfsn+yb7JPsl+yn7Lvsy+zf7PPs/+0H7R/tP+1T7U/tS+1b7XPth+2X7aftt+3D7efuH+5T7nvup+7j7yvvZ++f7+fwS/Cj8O/xQ/Gv8iPyi/Ln80fzr/Qj9J/1G/WH9e/2b/b/94/4C/iP+Sv53/qP+zv75/yP/Tf95/6n/3AAIACMALQAqAB///P+v/0b/Dv9hAFgBqgLuA+sEngUeBY0GJAcLCBgI1Qj3CLoInwjNCOoInQgOB7sH3ggvCEUICgfLB9sISwjvCYUJ3QnsCc4JtQm+CeEKBQodCjAKSApeCmsKbwpsClwKOQoHCdQJqAl9CVAJJAj4CMgIjghPCBQH1geKBzAG0wZ6BhwFsAVFBPoE5AT1BQYE+ATIBI0EVgQaA8UDWALoAooCOQHmAY8BOgDnAI8ANP/d/4v/N/7i/pf+W/4a/cb9df1S/Wb9h/1x/QX8WPur+zz7IPs0+0H7JPrm+qX6ePpk+mb6c/p5+mn6Rvoj+g35+vnW+Z35V/kJ+Kz4QPfd96P3lved95/3ove099P37Pf5+Af4G/gv+EH4XfiL+MD45/j1+Pf5Afkl+WT5qfnW+d/53Pnq+gr6Ifog+hX6Fvom+kL6aPqX+sb69Psu+3b7r/uy+4b7afuQ++38RPxw/IP8pfzf/Rf9L/0o/Rb9Cfz6/NP8ifwt+9r7pPuN+5D7n/uv+7f7tvuz+7P7tvu++8374fvz+//8Dfwk/ED8V/xr/IL8nPyw/L38zfzk/P39Ef0i/Tj9UP1l/Xf9jP2j/bn90f3v/hP+Of5e/ob+sP7b/wX/L/9b/4f/s//lACAAZACmAN8BDgE8AW8BqAHeAgoCMgJfApMCwgLmAwYDKQNRA3kDnAO4A84D4QP3BBEEMARSBHgEoQTHBOkFDgU7BWUFfAV8BXEFZgVfBVgFUgVRBVAFSwVABTgFOwVIBVcFYgVnBWkFbQV0BXwFggWEBX4FdQVwBXIFdgV2BXEFbQVrBWkFYwVdBV0FYQVnBWwFbwVtBWYFWgVPBUYFOQUjBQgE9QTuBOgEzgSjBIkEhwSABFgEFAPZA8MDyAPSA9UD0wPPA8QDtQOrA6sDsAOyA7QDugPBA8YDyQPOA9MD1gPXA90D6QP1A/wEBQQXBCsEOwRKBGAEfASSBJ8ErATDBOAE/AUbBUAFZAV+BZcFxQYPBl0GkwamBqUGmAaABmQGVAZdBnUGhQZyBjEF0AVoBRME1QSZBFAEBAPEA5YDaQM3AwYC3AKzAoACRAIFAcgBjgFZASgA+QDEAIoAUgAc/9f/df76/oH+Jf3p/bz9jP1g/Uf9Pf0t/Qv88v0D/TH9Q/0c/O789/0z/Vr9NPzW/HD8F/vD+3T7NvsJ+uT6zfrZ+xP7Yvuf+7X7pPt7+1z7ZPuI+5P7UPrJ+kj6Ifpu+vT7RfsJ+kX5YfjO+Kb4oPhs+AP3lPdB9wn24fbM9sf2wPam9nn2L/W19Qz0X/Pb84XzRfMd8ynzZ/Oh86PzcPM08wry8PLd8tby2PLX8tTy0/LP8rXyjPJ78qLy5vMG8tbycvIg8g3yKPI98jzyR/J58qryoPJl8lXyn/ME8yjzEfMX81/zoPOK8y/y5fLb8vDy8PLL8p7yg/KD8o7yjfJ38lbyOvIp8iDyGfIN8fHxxfGX8XLxU/En8OnwqfB38FfwQfA58EfwbvCZ8KXwe/Ao79bvoO9870ru/e6i7kzuAe277XLtJuzZ7JDsT+wV6+DrreuA61brLOr86svqnup26k/qJun76crplelc6R7o2OiN6EfoC+fb57Tnkudw50bnF+bm5rHmdOYv5e3lruVl5QPkkuQr49vjo+N741vjOuMT4ufivuKX4nPiT+Iv4hLh9eHa4cLhsOGi4ZnhkuGK4YLhf+GH4ZThn+Gn4bPhyOHl4gTiIOIz4jriOOI64kfiW+J04o3ipuK/4uLjF+NT44Ljn+O349nkBOQ15Gnkm+TB5Nfk7OUJ5TLlb+XL5jrmlOa35rPmrOa15s/nCOdw5/noa+ir6M7o/ulF6Znp+Opo6trrOuuJ69XsI+xx7MrtSO3t7pHvAO8u70LvfO//8LHxVfHB8gbyWPLE8ynzbfOm8/j0afTj9Vn11fZX9s33MPeL9+X4MPhq+K35FPmS+gX6YPq0+xT7ffvr/Fr8x/0e/Vb9c/13/Vj9E/zK/Kj8uPzl/ST9gP34/nP+2P8u/4b/1QAJACsAYwDAAR8BTQFDATIBVwHEAlkC5wNjA+UEhwU3BcYGDwYYBgcGBwYzBpEHDAeKB/0IaAjKCRcJVQmWCd8KEAoUCg8KSArbC6MMdQ1JDiMO5Q9gD4YPaw8aDokNvgzkDCULiwsGCpgKWgplCsALZwxODVcORQ7YDvgOwQ5wDjAOCA3lDb4Nqw3IDhcOgQ7nDz8Pkg/xEGsRARGgEjASoxMCE2ATwBQfFHwU3xVIFasV9xYsFlcWjBbbFz0XmxfaF/UX/hgJGBoYNxh0GNoZTxmlGcMZtxmhGZIZkBmaGbIZ2RoIGjYaXhp5Go0aqRrbGx8bXRuBG4cbhBuTG7wb8hwhHEkcdxyzHO4dEh0dHR0dGx0ZHRYdEhz7HLgcRxvKG2kbKhr7Gt0a9BtgHB4dDR4IHukfgB+vH5cfdx9qH0Ye5h5zHj4eWR6AHmoeFR2zHWwdUB1lHZgdvR2pHWgdKBz/HNYckhxGHBccDRwKG+8bvBuHG2QbURs2GwYaxRqFGkgaCRnIGYcZRhj/GMoY1BkyGb0aIhoXGZgY5BhLF94XYhalFdwVjRXyFq4XLxdGFy8XJRcdFwAW2Ra+FqkWiRZiFkYWMBYWFfkV4xXMFaYVdhVSFT8VHxTXFGoT+BOnE4YThBN8E1sTIBLWEn8SIhHOEZERXxEqEPcQ1BC9EJ4QdxBZEEcQLA/+D9IPuA+hD3kPSg8mDwsO4w6sDncOTA4iDfMNzA2yDZINYg01DSsNPw1FDRgMwwxwDDwMIQwMC/EL0guyC5ELagtACxYK8wrXCrgKkQpfCi8KEwoSCiEKMQo4CjQKJgoLCeUJuQmLCWYJVQlaCWEJTQkTCMIIfAhRCDkIIAf9B9gHtweWB2wHPAcSBvYG4QbNBrwGrAaVBnEGTgY5Bi0GGwYDBfAF6QXqBfcGEAYnBh8F+QXSBcIFtAWIBUUFDATmBMQEoQSRBJUEjgRjBCMD8wPXA74DqAOsA8sD3QO/A4ADUQNEAzwDHgL3AugC9QMEAv4C5gLQAsICuwK5Ar0CvgK3AqwCqAKuArACpgKUAoICcQJmAmACWAI+AhEB4wHIAbsBqAGJAWYBRgEnAQgA7wDcAMYAqACHAGUARAAoABcADP/9/+b/0//K/8P/t/+s/6r/qP+a/4j/ff91/13/M/8S/xj/Tf+W/87/5f/r//0AHQAn//P/i/8j/uP+yf65/qb+k/6B/mv+Tv4w/hT99/3a/cL9r/2d/Yj9bf1Q/TL9Gf0F/PT84PzM/Lr8qvyY/If8evx0/G38Y/xX/Ev8P/ww/CL8FvwP/Av8CPwE+/v78Pvk+9n70fvO+9D70PvL+8P7vfu8+7r7tfuy+7T7tvu4+7n7t/ux+6f7nPuU+4z7g/t7+3f7dPtw+2v7avtq+2f7Yvtf+177YPtj+2r7dfuD+5L7ovuv+7f7v/vL+9r76vv7/A38Hvwt/Dr8SPxW/F/8Y/xn/G/8d/x9/IP8jfyW/Jv8nvyk/Kz8sPyw/K38rPyq/KX8oPyc/Jj8kPyG/H38d/xy/Gz8ZPxe/Ff8TfxA/DL8I/wT/AH77PvT+7b7mPuB+3T7bvtq+2b7YftZ+0z7Qfs7+zr7Ovs5+zf7NPsx+zH7Nfs6+zv7Ovs7+z/7RPtI+0z7UftV+1j7Xftl+2v7bPtr+277c/t2+3n7ffuD+4r7kvud+6j7sfu5+8X71fvm+/j8DPwi/Dj8TPxh/Hr8lvyw/Mj83/z5/Rf9Nv1U/W/9iP2k/cP95f4J/iz+Tv5x/pr+xv7z/x//S/95/6X/0f//ACkAPQA4ACoAGf/p/4X/IP8l/9MA/QI7A0gEGQS6BUwGEAc0CHgJSwllCScJKwmKCcsJjwkNCMcI5AkSCPgImQhDCDkIhgkLCZEJ6gn+CegJ1gnoChQKPQpVCmQKdAqDCokKgwp3CmcKUQo0ChUJ8QnCCY0JXwk9CR0I7AirCGYIIwfbB4sHOAbkBoUGEwWeBU8FOQVKBVUFPQUJBNMEpQRvBBwDrAM6AtoChwIxAdYBfQEnAM0AbwAW/8H/Z/8K/rv+f/5A/e39ov2R/cT9/v3t/W38pvvn+3X7Xvt8+5L7fvtG+wX61Pq8+r76z/ra+sr6o/p8+mX6Vfoy+fL5n/lF+OH4dfgX9+P31/fV98z3xvfa9/74Gvgl+DL4Svhl+H34nfjS+Q75NPk9+Tz5T/mE+c76C/ob+fr5zPm3+cD5zPnN+c353fn6+hn6P/p0+rP67/st+2/7mvuM+0/7JftN+7r8J/xf/G78g/yw/OP8//z6/OL8w/yY/Fz8EfvM+6D7jvuK+4v7kfuc+6b7q/uu+7L7ufvB+8/74fv1/AX8Ffwr/Eb8XPxt/ID8lvyo/Lf8x/zg/Pz9E/0j/TT9Rv1W/WP9c/2H/Z/9uP3V/fb+HP5D/m7+mv7G/vP/If9R/3//q//aABAATwCSANABBwE6AWwBnQHJAfACFwJFAnkCqgLSAvMDFQM6A2ADggOeA7MDxQPaA/MEEAQxBFgEggSmBMUE6AUTBT8FXAVlBV0FUQVGBT8FPAU8BTwFNwUuBSYFJAUrBTgFRwVTBVsFYQVlBWcFZwVkBV0FVgVWBWAFbQVzBXAFbQVsBWUFVAVDBUAFSwVXBVoFVQVPBUcFOwUuBSIFFAUCBPEE7ATvBOgEygSiBJYEoQSaBGcEGwPeA8kD0QPcA98D3APXA84DwwO9A74DwgPEA8cDzAPSA9UD2APfA+gD7wPzA/sECQQXBCAEKgQ7BFEEYwRyBIUEoAS5BM0E4gUBBSQFRQVkBYUFpAW6Bc4F8wYyBnoGtAbVBt0GygafBm0GVgZnBpMGuga7BoYGJgW5BV8FHgTiBJkETgQOA9kDowNpAzYDDwLpArcCfAJBAgcBzgGXAWcBNwEAAMEAiABTAA//qf8p/q7+V/4h/ff9x/2b/Yj9j/2X/Y39gf2K/Zj9ff00/Pr9Dv1a/Yf9Yf0L/Lz8ePwe+6z7SvsR+vf66vr2+yf7a/ug+7D7o/uH+2z7Y/ty+3n7RPq2+gP5kfms+jT6rfqi+gf5RfjN+LH4qPhv+An3ofdS9xb27Pba9tf2z/a49pj2Z/YM9YL08vSB9CTzv/Ns82TzrfP89ATzyPOC81bzN/Md8w/zEvMX8xDzBvMA8vDyzvK18s7zEfM98xfysvJl8nXyxfL38t3yqfKi8sLyxfKb8ojyxPMm817zZ/OF89D0BPPb82/zGfMK8yLzK/MU8u/y0vLF8sDyuPKm8ovybfJU8kPyPPI38ijyBfHX8azxgvFR8RPw1PCi8ILwb/Bp8HjwnvDK8N7wxfCO8FnwPfAo7/jvoO8x7sTuZO4P7cPtfO0z7Obsnexj7DfsD+vj67PrgOtQ6yTq/erb6rzqmepu6jjp+em16XHpL+jw6LXoeug/6Azn4ue754/nYOcy5wPmyuaI5kjmCuW/5V3k7+SK5DzkBOPa47fjlONr40HjGeL14tPisuKT4nTiVOI34iHiEuIF4fjh7uHn4eDh2+He4ejh8uH54gTiF+Iz4lDiZeJr4mjiZ+Jx4oLilOKm4rvi0OLp4w3jRuOJ48Lj5+QE5CLkRORo5JDkuOTV5OXk8uUG5SflYeW95izmg+as5rbmu+bB5s7m/uds5/3ocOiq6Mjo+OlF6aTqEeqG6unrKuta65fr6+xJ7LLtMe3H7lnuyO8M7zzvf+/28JfxK/GH8bzyA/Ju8trzJ/Nm8770NvS29TX1t/Y79qv3APdG94f3v/fz+D34rvky+aj6Cvps+tn7UPvP/FX81v0//Y791P4H/gH9sP09/On8y/zI/NL9AP1i/eL+Vf6w/wL/T/+G/6f/zAANAFcAhgCTAKUA5wFaAdYCNQKDAu8DlwRXBOUFFAT4BMwEvgTdBSMFfgXeBjwGmQb2B0cHgwe4B/MILAhXCIsI9wmwCpULeQxTDTUOFQ7KDzEPQw8EDm8NkgygC9ALLQqiCisJ6goDCnoLMwwWDQUNzQ40DiYNzw15DVMNWw10DZMNyQ4sDrwPYQ/7EHwQ5xFMEbsSNBKmEwETRhOFE9IUKxSFFNwVMxWIFdYWFhZJFnoWsRb5F04XnxfWF+4X9hgBGBMYKxhZGLAZHhl3GZcZhRljGUwZSBlVGXIZnRnMGfcaGxo/GmUajxq/GvUbKRtJG04bShtcG5Mb2hwRHDMcVxyMHMkc+R0THRwdFx0JHPgc4xy0HFkb4Bt1GzUbEBrhGqwanBrbG20cNh0bHfYelB7ZHuYfAR88H1ofIB6pHlEeRx5fHk4eAB2aHUYdGR0THSUdLh0ZHPQc1xzCHJ0cYRwtHBkcGRwHG9UblhtnG1EbQBscGt8amxpiGi8Z8BmgGU8ZCBjIGJAYfhi7GUoZ6ho0Ge0ZORiAGAQXmBbtFhcVmxXZFpgXQxeDF3gXYRdNFzAXCxbsFs4WqxaMFnsWbhZaFkEWMBYgFf0VyBWbFYQVdBVIFPEUfxQWE9ATsROjE5ETcxNFEv8SpBJLEgURyhGNEU8RIhEHEOkQwBCSEGkQQxAjEBAQAg/hD6UPZw9DDy4PCQ7QDpwOeA5WDigN+w3hDcgNnQ1pDVINYQ1vDVINDwzODKgMkgxyDEQMEwvpC8MLngt9C18LQQsfCv4K3gq2CokKaAphCnAKfwqCCn0KcgpfCjwKCwnVCaQJgAlsCVwJPgkHCMMIiQhrCF4ITQgqB/4H1QevB4MHUwcqBw4G9wbeBskGuQahBnoGUQY3BikGFgX7BeoF6QXyBgAGFAYmBiIGAwXjBdUFyQWhBWEFKwUHBOMEuASZBI8EgQRWBBsD8gPeA8gDogN/A3EDbgNhA0oDOgM3AzADFgLyAtwC2gLhAt0CzQK5AqwCpAKgApwClgKQAo4CkgKXApQChQJxAl8CTwJEAkACPwIuAgYB1AGtAZgBiAFyAVIBLQEKAOwA2ADKALgAnAB7AFYAMgAS//3/8v/l/9H/u/+p/5v/jv+F/4P/gv94/2n/Xf9S/0D/If8B/vH+/f8e/0T/Z/+V/+IAPABtAEb/1/9c/wb+1/61/pn+g/5y/l7+Q/4m/gf96P3L/bT9o/2S/X/9aP1P/TX9Hv0O/P/86/zW/MT8tPyi/I/8g/x9/Hf8bfxi/Fn8UPxE/Db8K/wh/Bf8EPwM/An8A/v7+/L77Pvp++n76fvk+9372PvV+9D7yPvC+8L7x/vK+8z7y/vG+737tvux+637p/ug+5z7mvuW+5H7jvuO+437i/uJ+4j7h/uH+4z7lvuh+677vfvL+9b73/vr+/v8Dfwg/DT8R/xV/GH8b/x9/If8i/yN/JP8m/yf/KT8q/y0/Lv8v/zF/M380vzQ/Mz8yvzH/MH8uvy2/LX8sPyn/Jz8kvyK/IL8evxx/Gj8XvxR/EP8NPwi/A379/ve+8L7p/uR+4X7gPt8+3f7b/tl+1n7UPtL+0n7R/tF+0P7Qfs/+0D7RftL+077TftO+1H7VftY+1v7Yftn+237dPt9+4T7hvuG+4j7jPuO+477kfuZ+6P7q/uy+7r7wfvJ+9L74Pvz/Aj8Hfwz/En8Xvxz/Ir8o/y8/NX87P0G/SP9QP1b/Xf9k/2v/cn95/4M/jP+VP5w/pL+vf7q/xb/Rf93/6H/xf/uACAAQgBEADoAOAAm/9T/V/8V/2gARgFfAnADZAQyBPEF2AcPCFgJKglNCSkJTAnAChwKIAn/CgMKHQoFCZ4JGAi1CJUIvAkdCZgJ+gofChUKCgobCkEKZAp5CogKmwqwCrgKqQqKCmkKUgpECjYKHAnwCbgJiAlpCVIJLgj1CLQIcggvB+gHoQdcBwkGmwYkBc0FrwW4BbkFmQVhBS0FAwTMBHQEAQOPAzEC2gJ8AhkBvgFpAQ8ArQBL/+3/iv8m/tL+lf5Y/g391P3b/iH+Xf4//bP87vxA+9n7uPu7+7r7ovt4+0j7HvsB+vj7APsI+vz63frA+rD6oPp1+ib5xPlh+Pz4lfhA+Bb4Ffgc+Bf4FPgm+EX4Wfhg+Gv4g/ic+LH40/kP+VD5dfl6+Xz5mPnR+hD6Mvoi+eX5o/mB+YL5i/mP+Z35wvnx+hn6Pvp0+rz7BftD+3b7jvt1+zL7Afsf+4n8AvxN/Gf8c/yL/Kn8uvy0/Jn8cPw5+/b7tvuM+4H7h/uL+4b7g/uK+5b7ofuq+7T7wPvN+9v77Pv9/A38HPwv/Eb8Wvxp/Hj8ivye/K78v/zW/PD9CP0Z/Sj9N/1E/VD9Xv1w/Yj9ov29/dz+Af4r/lj+hf6y/t//Df88/2r/mP/H//wANwB4ALsA+gE0AWcBkgG3AdkB/QIoAlYCgwKtAtMC9wMZAzoDWANyA4oDogO+A9oD9wQVBDkEYASFBKUEyATyBR0FPQVLBUYFOAUrBSMFIgUjBSAFGwUVBQ8FCwUPBRoFKgU4BUEFRwVJBUcFQgU9BTgFNQU4BUUFVAVaBVkFWwVgBVwFRwUxBS0FPAVJBUUFNwUqBSIFGgUPBQUE/AT1BPME9wT4BOYEwQSeBHwEiwSABEwECQPdA9UD4QPrA+wD6APjA90D1gPRA9ED0gPUA9cD3APgA+MD5gPwA/4ECgQTBB0ELAQ8BEoEVgRnBHwEjQSaBKkEwATbBPYFEgUzBVYFdwWYBbwF2gXuBf0GGgZPBpEGzgb9BxAG+Aa7Bn4GaQaFBrgG3wbjBroGaAYCBaUFXgUgBNwElwRZBCAD4QOfA2sDRQMfAu0CsgJ5AkICCAHQAaABcQE5APoAwACKAEf/4f9h/uj+lf5o/kn+If34/eX99f4R/h7+G/4O/fD9qf1K/RP9Mf2A/af9gv05/P/8xPxb+8r7UPsX+w/7FPsh+0P7cPuN+5L7kPuN+3z7XPtN+1r7Wfr9+j35dfkh+WL52voE+bX5Mvjb+ML4rvht+AT3mPdB9wH23fbX9tv21fbE9rX2nPZc9fT1kfVI9PP0bPPf86rz6fRG9F30JvPh87XzlPNu81TzU/NX80zzPfM980DzKfL78uLy9vMY8xLy4vLE8u7zQfNm8zHy3fLA8ubzCPL68uTzA/NQ85fzxvP59DX0SPQM86PzVfNC80zzTvM/8ynzF/MG8vjy6vLa8sTypvKF8mryX/Jf8lnyP/IS8eHxs/GC8UfxC/Da8LfwoPCV8JzwvvDz8R/xJfEG8N/wxvC08IrwOO/G70ju0O5p7hjt1+2S7UPs9Oy57JPscuxF7A3r1+ur64rrcetY6zrrEOrX6pTqTuoK6cnpjulY6SDo4eif6GboOugS5+bnt+eL517nJebi5p7mW+YO5a3lROTl5JrkYeQ15A/j6ePA45njdeNV4zTjFuL44tjiteKX4oPiduJn4lfiTeJI4kPiPeI74kPiTuJW4l/icOKK4qXis+Kw4qfiqOK34sni1OLc4uri/uMa40XjhOPL5AfkMuRU5HLkieSb5K/kyOTf5O/k/OUN5SnlX+W55iTmeOak5rnmxubK5s3m/Od16BHog+ix6MXo9elL6bbqK+qX6uPrCOsl61/rvOwr7KPtJ+2y7jTuoe747z7vhu/q8G7w7PE98W/xt/Io8pvy6/Mq84P0AfSL9RD1kvYM9nD2uvb19yf3U/eI99/4XPjk+Vr5wfoo+pX7Dvua/Dn8zv1D/aP+Cv5o/n7+LP2j/Tj9C/z3/OH84P0T/W79xf4H/kX+iv7E/uP++v8n/3D/wQAJAFYAvAE1AZ4B4QIWAnQDFQPLBEcEXgQvA/0D8QQGBCcETQR7BLgFBQVbBawF7AYhBlsGmwbYBxsHigg5CQ4J2wqdC3gMfA18DjQOfA5WDdYNHwxhC8ALNAqjChcJzQn3CoULPAvtDIgM/g02DSsNAAztDQ4NWQ22Dh4Olg8lD8YQaxEBEXwR4BI7EpcS8hM+E3MTmxPMFBIUZxS7FQcVTxWWFd0WHxZcFpMWyBcEF0sXkxfFF9kX3xfrGAAYGRg+GIQY6RlHGW8ZXRkyGREZCRkVGTEZVxl/GaEZwhnuGiYaXxqTGsIa7hsIGwcbABsYG1obqxvmHAccKBxcHJwc2R0GHRodDxzsHMYcoxxvHBkbtRtsG1AbPBsJGr4ajhqiGvsbiBw2HOgdbR2sHcgeCx6JHwQfKh70HqQedB5cHjQd8B2hHVwdKh0LHPMc1hytHIocfxyCHHkcXBw7HCMcBBvSG5QbZRtRG0QbIhrgGo8aURo0GiYaAxnBGXEZKBjmGJwYURgqGE4YsxkYGS0Y5RiBGEQYFBedFtIWJRYXFqQXUBerF64XihdeFywW+xbWFsAWtha5FsUWyha2FpUWfRZuFlAWHBXjFb0VqRWRFWEVExSyFFIUABPHE6YTlROEE1wTHBLVEpYSWBIOEbwRehFTETkRFhDiEKQQbRBLEEEQNRALD8MPgA9cD0cPIQ7rDr0Oog6FDlYOJg4JDfYN1w2zDakNwg3YDcENgg1BDRYM8gzDDIwMXAwyDAML1AuyC5wLggtdCzsLIwsMCukKxQq2CrwKwAq3CqkKnwqTCnkKTwocCeoJvAmTCWwJPwkFCMMIjQhwCGkIYQhJCCAH8gfEB5MHZAc/BycHEAbzBtYGvQafBnYGTAYwBh0GBAXlBdYF3wXyBgAGDgYcBhsGBQXsBeIF1wWxBXcFSgUzBRkE6QS0BIwEawQ/BA0D6wPcA8cDngNtA0sDOwMzAyoDIgMeAxkDDAL1AtoCyQLDAsICvQKzAqkCnwKRAn8CbQJmAmwCegKAAnUCXgJGAjYCLAIiAhwCGAIMAesBugGMAXEBYwFTATgBEgDtANAAvgCxAJ4AggBgAD8AHwAA/+f/1//J/7j/of+K/3b/Z/9e/1n/V/9T/0z/Qf8w/xz/Bv7x/t7+1v7b/uv/Av8v/4b/9gBHAET/8/+J/zH+8v6+/pX+ef5n/lT+O/4e/f392f26/aT9k/2B/W/9XP1J/TP9IP0T/Qb89Pzf/ND8wvyw/Jv8jPyE/Hr8bvxk/F78WfxR/Ef8PPww/CP8GPwW/Bf8FvwQ/Aj8Afv9+/v7+fv1+/H77/vt++b72vvS+9H71fvZ+9v72vvW+9D7zPvM+837zPvI+8P7vvu3+7H7rvuv+7H7s/u0+7T7svuz+7j7wPvI+9H73Pvo+/T7/vwL/Bz8L/xC/FX8Z/x2/IH8jfyb/Kb8rPyw/Lf8vfzC/MX8zPzU/Nv83/zl/Oz88fzv/Or85fzi/N381vzR/M/8zfzH/L78s/yp/J/8lPyI/H38cvxm/Ff8Rfwx/Bv8BPvr+9D7tvuj+5n7lfuQ+4j7fft0+2z7aPtk+2D7WftU+1L7UvtS+1P7Vvtb+177X/th+2X7aPto+2r7cPt5+4H7i/uV+537n/ud+5/7pPuo+6n7qvux+7v7wvvF+8r70vvb++P77/wA/Bb8LPxC/Fj8bvyE/Jn8sfzK/OL8+v0U/S/9R/1e/Xn9mv26/dT97f4Q/jj+Wv50/pT+vf7m/w3/O/9x/6D/wv/lABUAPwBLAEkAUwBaACf/sP9D/zr/sQCCAYMClAOYBIUFgQauB+IIuQkOCS8JdwnqClQKrAsRC3ULhgsWClsJtglRCR4JFglLCbMKGgpLCkgKOAo3CkcKWQpqCoEKpwrUCvAK4wq0Cn4KXApNCkQKMQoOCd8JsAmLCXAJUgkoCPYIwwiQCFsIJgfuB6MHOQbABmIGOgY3BjIGEAXaBaYFdQUyBM4EWQPuA5YDPQLTAmQCAQGpAUwA4wB4ABT/r/9J/vH+rv5w/i/+Cv4n/nb+qv57/ev9Pfyx/Fv8KPwA+9r7t/ua+3/7YvtC+yz7Jvsn+yH7EfsF+v766Pqo+j35xflY+Pr4ovhd+EL4UPhs+H34h/iU+KL4pfik+K/4xfjW+OP5BflH+Yz5svm4+cD53/oM+jH6NvoV+dT5lPly+XH5dvl4+Yv5wvoN+kj6cPqc+tz7I/td+4P7jvtw+y368/r8+1r73vxE/HL8d/x2/Hv8fvx0/Fb8Jvvp+6v7fftq+3H7gfuJ+4f7h/uR+577qfux+7v7yPvX++b79fwG/BX8I/wz/EX8Vvxk/HH8g/yX/Kn8uPzL/OH89/0I/Rf9Jf01/UT9VP1n/X39lv2u/cv98P4b/kj+c/6e/sv++f8l/1H/gP+y/+YAHQBaAJ0A4AEfAVYBgwGoAckB7QITAjkCXgKGAq4C0wLyAwsDIgM6A1UDdQOaA74D3AP4BBcEPQRkBIkErwTZBQEFHwUtBSoFGgULBQMFAwUDBQAE/AT5BPUE8QTyBPoFBQUNBRIFGQUeBR8FGgUWBRQFFgUcBScFMgU2BTgFPwVLBUwFOgUkBSAFLgU4BS4FFgUCBPoE+AT0BPAE7wTwBPME8wTkBMAEkwR3BEIETgREBB4D9gPjA+cD8gP4A/gD9gP0A/ED6wPmA+ID4QPiA+UD6gPvA/QD+wQHBBYEJQQxBD4ETgRiBHQEgwSTBKUEswS/BM0E4gT+BRsFOQVXBXQFkwW6BeUGCQYcBikGRQZ1BrEG7gckBz0HIQbeBqUGowbQBvwHCwb/Bt4GogZJBesFmgVWBRUE1QSaBGAEIAPcA6UDfQNVAyIC6QKxAnsCQQIIAdYBqQF0ATcA/ADFAIAAHf+g/yf+0/6q/pf+ff5f/lH+Zf6J/p/+mP50/jX92/18/Ur9YP2a/bT9lf1c/Sr86Pxz+977a/tA+0T7T/tY+237g/uE+3X7cPt2+2b7NPsR+zb7g/uC+uD51/kE+NX5J/l8+YD5RPkH+OL4tvhl9/P3fPcY9tP2ufbC9tT21fbN9sv2wfaS9kf2D/X29bv1IvRh8/b0HfSC9K70g/Q/9A/z6fO885zzl/Od85LzgPOA84zzf/NM8xLy+vMD8wry/vL48xjzTPNe8zPy9/Lt8x/zVPNa80LzQ/N288T0DvRF9Fz0QfP686/zhvOB84Lzd/Nk81TzSPM48yXzEvMB8u7y1/K78qHykvKO8obybfJD8hTx6vG/8YvxUfEb8PLw0/C68LHwyfEH8VHxfvF48VHxKPEJ8ObwqPBE78LvOO7C7m7uMu3y7aPtVO0Z7PPszuyd7GTsNOwU7AHr8+vg673rgus26ufqoupm6izp8+m66X3pOej16L/omOh06EvoIOf258fniec95vHmp+ZW5fblkeU35PDku+SQ5GrkQuQa4/fj1uO145PjdeNZ4zrjF+L44uXi1+LG4rbir+Ku4qriouKe4qbisOK34r3izOLl4vvjBOL+4vXi+OMH4xbjG+Mc4yTjOONb45Hj1uQZ5EzkcuSV5LPkwuTC5MTk0+Tp5P7lEOUj5UDld+XR5jnmh+av5sPmz+bN5s7nBOeJ6Cnok+iy6L7o8elQ6cDqMOqP6svq5esB60Lrp+wf7KDtKO2r7hzugO7f7zfviu/l8FLwuPD98TDxg/H98nLyvfL481Hz1vRp9PP1bfXV9ij2afaf9s32+Pc39574Jfir+R/5hvnt+lL6wPtQ/AH8qv0t/Zv+Fv6J/qn+Uv3B/Vj9O/09/TD9IP0t/Vr9jP22/eb+JP5W/mj+Z/5+/sb/M/+pABsAiwD5AVUBlgHMAhwCmwMoA4YDlANwA1gDZgOGA5cDmwOsA90EKQR9BMcFAgU3BXMFtQXyBiwGgQcIB60IRwjZCZgKpwvTDL4NJQ0UDL4MVwwBC7kLXwrWCkMJ+QowCsMLWwu+C/cMJAxPDHcMqAzxDVcNzw5SDuAPdhAPEKQRMRGuEhgScBK/EwkTShN7E50TvhPwFDYUhxTSFRIVSxWKFdAWFhZWFo4Wwhb8F0AXhRezF78XuBe8F9IX8BgUGE4YqRkJGT4ZNBkHGOIY2hjoGQIZIhlEGWMZhRm1GfMaMxpsGp0awxrPGr4arRrEGwwbXxubG8Ab6hwmHGwcsRzuHREdBhzUHJkcahw7G/kbtBuLG4QbehtMGwMayRq6GtQbFBt3G+wcTRyBHKUc+B2THkYeyB7yHtoepx5xHj0eCR3UHZgdVR0WHOIcthyLHGscYBxlHGgcXBw/HBQb2hubG2sbVRtIGyYa3xqFGkEaMxpUGnoadxpAGe8ZnxlXGQYYnRgkF78XmRe2F+kYBxgiGGIYtxi/GD4XehcBFxYXdRe4F7QXfxcyFt0WkhZoFmgWiRa6FukW/hbrFsEWoxaaFo0WZhYuFfsV2hXHFbMVjxVPFO0UehQTE9ATsxOmE5ITchNOEykS9xKqEkkR7RGtEYcRZxE4EPUQsRB/EGQQShAbD9sPow9/D2QPQQ8YDvYO2Q6xDnoORw4mDhQOCQ4QDjoOdw6VDnEOGw3EDYINRw0HDNAMrAyJDFMMEwvmC9ALuQuUC3ILYgtWCzgLEAr3CvAK6ArUCr0KsgqsCpoKegpTCioJ/wnOCZgJXQkZCNAIkQhqCF0IWQhLCC0IAgfUB6QHdgdTBzsHJAcFBuAGugaSBmsGSwY2Bh0F9AXJBboFzwXuBf8GBwYPBg8GAQXwBeoF4AW9BYgFYwVVBUAFDATDBIMEVAQsBAcD7APYA70DlQNpA0UDMQMmAx0DEQMGAwEDAAL3At4CvwKsAqkCrAKsAqcCmgKEAmUCSgJAAkkCWAJbAkoCLQITAgcCBgICAfsB8QHkAcoBoAF1AVYBRQE1ARoA9wDTALcApACVAIEAZABDACUAC//w/9P/uv+o/5f/g/9t/1j/Sv8//zT/LP8r/yz/Jf8R/vn+5/7a/sz+vf60/rD+r/7B/wD/av/N//P/z/+G/zv++P69/o7+b/5a/kf+Mv4X/fX90P2w/Zj9hP1u/Vr9S/08/Sv9G/0Q/QX89fzk/Nf8zPy8/Kj8l/yL/H78b/xl/GL8X/xZ/FH8Sfw+/DD8JPwj/Cf8J/wg/Bb8D/wK/AX8AfwA/AH8BPwC+/v77/vl++P75vvq++377vvr++b74/vk++j77Pvs++n74fvY+9H7z/vQ+9P71vva+9z73fvf++X77Pvz+/r8BPwO/Bj8Ifwv/EH8VPxk/HT8hPyT/J/8qvy2/MH8yfzP/NX83Pzg/OX86/zz/Pn8/v0E/Qr9Df0L/QX9APz8/Pj88vzt/Oj85fzh/Nr80vzI/Lz8r/yh/JT8ifx9/G78WvxD/C38Fvv8++D7xvu1+677rfuo+537kPuG+4P7gvuB+337dftu+2n7aftp+2r7a/tt+2/7cft1+3r7fft8+3z7gfuL+5b7oPuq+7H7svuw+7L7uvvC+8b7x/vL+9P72PvZ+9375vvw+/n8AvwR/CX8O/xQ/GX8e/yR/Kj8wfza/PL9CP0i/T39U/1l/X39n/3F/eL9+v4X/jv+W/53/pn+xP7r/wz/NP9q/6H/yf/qABYAQwBYAF0AawB+AGsAFv+j/1r/aP/aAKwBxALwBAcFEgYtB0oIMwjVCVQJzwpACqsLQAwNDLgMvwwVCzQKlAo7CfEJsQmpCewKQgpvCmgKSgoyCikKLAo+CmQKogrrCx8LHwruCrEKhgptClgKQAooCgsJ5Qm5CZIJcQlQCSwJCwjvCNQIsAh8CC0HwAdJBusGvga1BqwGjgZdBicF6gWVBSYEsgRRBAADpQMxArUCSgHsAYkBGQCtAEv/6/+F/yb+1v6Q/lD+Mv5V/p/+xf6L/gD9afz6/LT8e/w+/AP72fvE+7b7oPuA+2P7VftS+0/7SPtE+z77HPrC+jv5rfk7+On4qPh4+Gr4hPi1+OL4//kI+P/47Pjj+O/5A/kN+RT5Nfl4+bz53vnk+ez6BPoe+ir6I/oG+dT5nfl/+X35gfl8+Yn5yvow+or6u/rX+v77M/tj+4D7hftm+yL62/rR+yj7vfxB/Hz8efxm/GL8aPxg/Dz7//u7+4P7Zvtj+2/7ffuH+4/7m/ur+7n7wfvF+8v71fvg++z7+fwK/Bz8Lvw9/Ev8Wfxm/HT8hvyb/K78vPzJ/Nn86/z6/Qf9Ff0n/Tz9UP1l/Xr9j/2k/cD95P4O/jj+X/6K/rn+6P8T/z7/bv+h/9UACQBBAH0AvAD7ATYBaQGUAboB3gICAiMCRAJnAo4CsgLNAuIC9QMLAycDSwN2A58DwQPcA/gEGwRCBGkEkQS5BN4E/AUMBQoE/ATrBOME4gTjBOIE4ATeBNoE0wTPBNAE0wTSBNME3QTqBPME9AT0BPkFAgUMBRUFGwUfBSMFLAU4BToFLQUbBRkFJAUqBRoE+wTiBNgE2QTcBN8E4ATfBNgEyASqBHwETwQ6BB4EIAQXBAcD/AP9BAIEBAQDBAIEAwQEBAED/AP3A/ID8QPzA/cD/AQCBAsEFwQlBDIEQQRPBF4EcASEBJkEqwS6BMgE1gTjBPIFCAUjBT8FWwVzBYoFpwXSBgUGLQZDBlUGcwahBtUHDAdCB1wHPwb8BtIG6wcpB00HQQcjBwoG5AabBjoF3AWOBUgFBwTMBJUEWQQYA+ADswOIA1YDIALqArMCeAI+AgoB3AGpAXABNgD9ALkAXP/n/3H/Gv7u/t/+1P7H/sf+3v79/wX+6v60/m3+Hf3O/Zz9mP2w/br9of1x/TX84fxt+/T7o/uM+5L7lPuS+5n7nfuM+2r7VPtN+y766/rC+v/7i/va+2n6Tfks+Kb40Pk++X35bvk4+Pn4svhT99/3Z/b89rH2lfah9rj2wvbE9sv2y/ao9nP2XfZs9k/1uPTY9EP0UfS99Pz02fSK9E30JvQE8+vz6vPz8+zz1PPC873zsfOO82DzQ/M88zzzNvMt8y7zOPNA8zvzNPND827zmfOj84vzefOT89n0JvRQ9ED0BvPJ86zzsvPC88DzqfOM83bzZfNU80HzLfMb8wzzAPLy8uDyzvK+8q3yk/Jv8kjyJfIC8dXxm/Fg8TDxC/Dn8MnwzPEC8Vzxq/HD8aTxbfE+8R3w8vCh8CTvk+8W7sPuiO5M7gLtue2A7VLtIuzt7L3sneyM7IHsdexe7DHr6euT60HrAerM6pfqWuoX6dHpiulL6Rvo+eja6Lfokuhq6DXn6+eV50Lm9Oag5j/l3OWG5UXlFeTv5MzkpuSB5F/kP+Qa4/Pj0+O445rjduNX40PjNOMk4xfjE+MV4xHjCOMF4w3jFeMZ4x3jLONC41PjVuNP40jjS+NV417jYeNg42bjfOOo4+nkMORn5IfknuS85Nfk3+TW5NPk4+T/5RrlL+VD5WTlo+YG5nLmvubc5uDm2+bN5s3nDeea6Djol+it6Lzo+Ola6cPqJOp36q7q0Or560brsOwn7KXtJ+2b7fnuTu6w7x7viu/x8FPwovDU8QbxYfHh8lLylvLN8yvzufRT9Nz1SvWf9eP2HfZS9n/2r/b893T3//h8+OT5R/mr+gr6dPsG+8H8dfz//XH97f5a/nD+F/2S/T/9Pv1g/XP9cv13/Y/9sv3d/hb+WP6H/pH+hv6T/tb/Rv+/ACkAfgDMARgBXgGXAcsCCgJSAogClQKOAp0C1QMWAzwDSQNlA6cEBQRgBKYE2AUIBUMFhwXEBfcGNgaUBwIHXgewCDkJIgpACyoLmwujC4YLewuMC50LfQsZCp4KZgqeCxQLbQuDC30LlgvjDFQM1w1gDeoOcQ74D4YQGRClESYRnRIHEmMSshL3EzETXRN7E5YTuhPyFDwUjhTZFRMVRBV8Fb4WAhY/FnUWrBbqFzEXcxeaF5sXhRd6F40XsRfYGAsYWBi1GPMY9RjQGK8YrRjCGN0Y+xkcGUIZbBmdGdYaEBpGGnYalBqRGnAaVRprGrIbAxs/G20bphvtHDccgBzFHPUc8hy8HHUcPBwQG+AbshuaG5gbkxt1G0kbIRsCGuoa5RsBGzcbbxuWG7wcBRyFHSodxh40HmQeYx5KHjYeKR4QHdMddR0YHNgcthyeHIMcZxxRHEEcMRwXG+8bvxuWG3sbYhsuGtMaZxoZGhgaaBraGycbIhrUGmgaAxm0GXYZMRjCGCQXhRckFxIXMBd6GBEY6BmSGZEY5RgSF5UXehd7F2AXHha7FkYV4BWwFcIWAxZVFp8WyhbHFqgWkxabFqsWoRZ6FkoWIxYJFfcV5xXGFX0VDhSXFD0UBRPgE70TohOVE4wTdBM+EuoShRImEdwRqBF8EUkRDhDWEKUQdxBIEBcP5g+2D4oPbA9aD0QPGg7dDqIOeA5YDkAOPg5wDtIPMg9PDxIOpw5DDfgNrQ1ZDRMM6QzHDJIMUgwmDBQMAQvcC7cLpAuVC3QLRQsiCw8K/grlCs4KxAq/Cq8KlQp4CloKNAoDCcoJiAk9CO8IqQh4CF8IVghLCDIIDAfiB7gHjwdoB0YHKAcIBuAGsQaDBmMGVwZSBjcF+wW8BaYFwQXnBfoF/AX+BgEF+wXxBe4F5wXKBZoFcgVbBT8FBQS4BHMERQQnBA4D9gPYA7IDiQNkA0cDMgMmAx4DEQMBAvcC9gLxAtkCtAKWAosCjQKSApICiQJwAkwCLgIhAiYCLgIqAhcB/AHlAd4B5AHpAeIB0wG/AacBiAFmAUoBNAEeAQIA4QDBAKUAjwB/AG0AUQAvAA//9v/e/8D/ov+K/3j/Z/9T/0L/Nf8o/xb/Bf8A/wL+//7v/tv+z/7H/rz+rf6h/pb+hv5//p/+8P9L/37/df9F/wz+1/6m/n3+Xv5I/jb+I/4M/e39yv2r/ZL9ev1g/Uj9OP0q/Rz9D/0G/P387/zf/NX8zPy+/K38n/yU/Ib8d/xu/Gr8Z/xe/Fb8UfxK/D78NPwz/Db8NPwr/CH8GfwU/A78C/wN/BH8FfwU/A78BPv8+/r7/PwB/Ab8CvwJ/AT7//v9/AD8BfwJ/Aj8Afv4+/L78fvz+/P79Pv4+/78BPwI/Az8E/wb/CT8L/w6/EH8SvxX/Gn8fPyK/Jj8pvy1/MH8zPzW/OD86Pzv/PT8+fz9/QP9Cv0R/Rb9G/0h/Sb9J/0k/SD9Gv0U/Q/9DP0H/QL8/fz4/PP87Pzi/Nf8yfy6/Kz8oPyU/IP8bvxW/ED8KvwQ+/T72/vL+8X7xfvB+7X7p/ue+5z7nvug+577mfuR+4n7hfuE+4X7hfuF+4T7hfuI+4z7kPuQ+5H7lvug+6r7tPu7+8H7w/vC+8X7z/vb++L74/vk++j77fvw+/T7/vwJ/BL8Gfwm/Dn8Tfxg/HP8iPyf/Lf80fzq/QD9Ff0u/Uv9Y/10/Yf9pv3N/e7+B/4g/j7+W/53/pr+x/7x/xH/M/9n/6D/zv/zAB0ATQBvAH0AiQCaAJoAawAQ/6z/a/99AAcBAgI3A2kEhwWdBq8HqwiRCWgKHgqdCwULpQyLDUMNRwyiC+QLdgs1CtUKXwoeCjMKbAqICnUKTgopChQKEgopClkKoAryCy8LOgsXCugKxAqlCnwKVQpCCjsKJgn8Cc0JqAmKCWsJUAk/CTEJEwjZCH8IEAeiB1EHKQceBxIG9QbHBo4GRgXmBXMFBQSuBGIEAwOKAwoCnAI7AdQBYgD3AJgAOf/O/2L/BP6y/mr+Q/5U/of+mP5V/c79Q/zj/K38g/xU/CT7//vr+977y/uu+5L7hPuA+3r7cPtk+1D7HPqz+iL5kPkj+OD4tfiY+JP4sfju+TH5X/lp+VD5LPka+SP5Nfk8+UH5Yfmb+dD55Png+d355Pnq+ez57vno+cv5n/mG+Yv5lfmM+Y75yvpA+rX69PsE+xL7M/tY+277bPtJ+v76qvqW+vP7n/w4/HX8ZvxM/FT8bfxu/EH79fur+3v7bPtz+3/7hfuL+5j7rfvA+8371Pva++H76Pvw+/f8APwO/CL8OPxK/Ff8Y/xv/H78kPyk/Lf8x/zR/Nv85/zy/Pz9CP0b/TP9S/1i/Xf9i/2g/br93v4F/ir+Tv53/qj+2f8F/zD/YP+V/8n//AAvAGQAmgDTAQ4BRwF4AaEBxwHrAg0CLQJOAnIClAKvAsYC3QL2AxIDNANdA4cDqwPIA+MEAQQiBEQEaASOBLUE1gTrBO4E4QTPBMQEwQTDBMQEwwS/BLYEqwSkBKEEngSZBJsEqgS/BM8E1wTdBOkE+AUEBQ0FEQUTBRUFGQUeBR8FGAUQBRMFHQUeBQsE6gTOBMEEwQTHBMoExQS3BKQEjgR1BFUENQQhBC8EHQQUBBMEGAQdBBwEFQQQBBAEEQQPBAwECgQHBAQEBAQJBA8EEwQZBCQENARCBE8EXARrBHwEjwSjBLkEzQTeBOwE+QUIBRsFMgVMBWYFfwWSBaMFuwXkBhcGQgZdBnUGmAbCBuwHGwdQB2wHUQcSBvYHIgduB48HdwdWB0sHOwcABp4GNgXaBYcFOwT5BMIEigRNBBMD4gO2A4cDUwMdAuQCqQJvAjoCCQHVAZ8BaAEwAO8AnAA1/8n/c/9C/zH/Lf8w/0D/Wf9m/1H/HP7d/qP+av4w/fz94P3Y/dL9tf17/Sb8w/xf/BH75/vf+9771fvF+7r7rfuT+3D7Ufsy+vr6qPp7+rz7VvvC+3f6dvlV+Lv41vlJ+Zr5lflS+Pf4lvgu98L3WPb69rD2hvZ+9of2kfac9q/2u/ap9oj2h/ar9qL2GfU09I70j/T/9Uj1IPS+9Hr0ZvRg9FT0TfRO9Ej0L/QL8+nzzvO686nzm/OQ84/zl/Ob84/zevNx83/zmfOx88Xz2PPh89XzwfPE8+70I/Q19BHz2fO688bz5vP48+7z0fOv85HzefNo81vzTvNA8zTzLvMo8xrzA/Ln8s7yt/Kb8nzyXfI98hTx3fGh8XDxSvEj8PXw2fDw8T/xnvHa8dbxp/F08VLxMfDs8HPv4u9n7xfu3u6i7l3uG+3j7a7tde1D7SLtFO0M7P/s6OzE7IzsQ+vx66jrbes56wHqv+p26ivp5emr6YHpYelD6SPpAOjW6JjoROfp55PnQ+bu5o/mMeXg5aLlduVV5TblE+Tv5M3kq+SD5FnkNeQY4/jj1OO146HjkuOD43njeON743XjbeNt43TjeuN844PjlOOn467jquOh45rjmOOa457jouOm47DjzOQA5ETkhOSp5LLkt+TJ5Nzk3+TX5N/k/+Um5UPlUuVh5YPl0OZH5sTnFOcl5w/m6+bK5sjnD+ei6D/om+i56NfpHOl36crqFepd6pvqzOsF61zryOw57KntGO167cfuFe587wDvi/AH8GjwofC98OfxRfHF8i/ybvKp8xDzovQ59Ln1HPVq9aj14PYT9j/2dfbN90732PhJ+KH4+vlZ+br6LfrL+4z8Pvy+/ST9iv3a/d39kP0w/QX9HP1R/X39mf2w/cz99f4w/nz+yv8C/xv/Jf9C/4T/5QBHAJIAxQD2ATUBfAGwAcABuwG5AcABxQHNAfECPgKaAuADDQNCA5oECQRvBLkE7QUdBVYFmAXWBgwGRQaNBtYHAwchB20IFgj/Cc4KSAp7Cp8K2gspC2oLeAtICwMK7QscC2ELewtmC1wLmQwbDL0NXQ3vDnYO9w95D/0QfhD4EWoR0hIrEncSuRLzEyETPBNOE2YTkBPOFB8UexTQFQ8VPRVtFasV7xYqFmAWlxbWFxUXSxdnF2AXQxcwFz8XaBeTF8AYARhVGJYYoxiJGHMYexiXGLMYzhjwGR4ZUhmEGbQZ4BoKGjAaSBpBGiEaCBodGl4aqhrmGx0bYRuxG/0cRByKHL0cwxySHEkcCBvYG7EblRuKG4kbhRt5G24bXhs/Gw8a5RrUGt0a7xsBGx0bTRuVG/UcaBzdHTsddB2bHcYd9B4CHdMdcx0SHNocyxzHHK0cehw/HBIb+RvnG9EbuRuiG4IbPRrJGj0Z0Rm+GhkawRtiG6cbeBr8GnEZ/BmsGY0Zjxl2GQQYRheLFw8W1RbeF1QYQhk9GZ4ZIhgqF1IW3haxFpUWZBYRFZ4VMRT4FQAVMRV5FdAWJhZcFmoWcRaQFrsWzxbAFqAWgBZgFkEWLBYdFfcVqBVBFOIUlBRKE/8TxROqE6kTrBOgE3YTJBK1EkYR8hHCEaQRhRFaESYQ8hDIEKAQZBARD8UPpA+kD5UPXQ8YDvQO7A7aDrAOmw7LDzcPlA+fD1YO8w6rDngOMw3LDWENFgzlDLgMjAx1DHAMYAw1DAML4gvKC6cLeAtNCy0LEAr0CuMK3wrXCsQKqQqSCnkKVwoqCfYJuQlxCSQI3AimCIMIcAheCEIIGwfxB8kHogd1B0YHHQb5BtMGowZ0Bl0GZgZ2BmEGGgXIBaQFuQXeBewF5gXkBewF7wXrBesF6QXVBawFfAVQBSAE4wSgBGkERAQtBBgD/QPVA6cDfANbA0IDLwMkAyIDHQMOAvsC7gLiAsgCogJ/AmwCaAJqAm8CawJXAjYCGQIKAgQCAAH4Ae0B3gHNAcUByAHPAcwBuQGeAYIBaAFRATwBJQELAO4A0gC2AJoAgABuAF4ARgAj////4//M/7D/kf93/2P/UP88/yv/Hv8R/vz+5f7X/tX+0/7L/sH+vP65/rD+pP6c/pb+iP54/n/+q/7l/wX+/f7d/rv+nf6B/mT+Sf4x/h7+DP32/dr9uv2e/Yf9bv1T/Tn9J/0Z/Qv8//z5/PL85vzX/Mz8xPy4/Kv8ovya/I/8gvx4/HT8bvxk/Fv8WPxU/Ez8RPxC/EP8QPw2/Cz8Jvwi/B78Hfwf/CL8I/wi/B78GfwV/BT8Fvwc/CP8Kfwq/Cf8H/wZ/Bf8Gvwf/CD8GvwS/A38D/wR/BD8DvwS/Bz8Jvwr/C/8NPw+/Er8WPxk/Gz8c/x//JD8ofyx/L/8zfzc/Oj88vz6/QL9C/0S/Rb9Gf0d/ST9Kv0u/TL9Of0//UL9QP09/Tv9N/0v/Sj9I/0h/R39GP0S/Qv9A/z6/O/84/zU/MT8tvyo/Jf8gfxp/FL8PPwn/A/7+fvp++H73vvZ+877w/u9+7z7vvu/+7/7vfu1+6v7o/uh+6L7o/uh+5/7nvud+577ofuk+6f7rfu2+8D7x/vL+8770fvV+9z75/vz+/r7+/v6+/z8APwF/Az8Fvwh/Cn8Mvw//FH8ZPx0/IX8mfyx/Mn84vz7/RD9I/07/Vj9c/2F/ZX9rv3R/fT+D/4p/kX+Yf58/pv+xf7x/xb/Of9n/5z/zP/0AB4AUgCBAJ8ArwC7AL4AqQBtAAz/ov9p/6EAXwF6ArQD6QUTBi0HOQhFCVcKSQrsC1cL1gyEDQsNCgyWDCcL+gvTC2wK4AqICoUKpAqoCokKXgo5CiIKIAo1CmEKnQrhCxgLKwseCwoK+grbCqYKdQpkCmsKZgpEChsJ/wnpCcwJqQmJCWgJOAjuCJAIKwfQB5IHdAdpB1kHNwcHBs4GhgYoBb0FWgUKBL4EXQPjA2YC/AKcAjUBwwFVAPAAiAAT/57/N/7f/o7+Vf5G/lL+RP3x/Wf83Px//Fb8Sfw7/CL8B/v2++774vvN+7f7qfug+5P7fPtd+zP67vqE+f/5fvkd+OT4xfi1+Ln43Pkf+Wz5pfmy+Zn5cvla+Vn5Yfll+Wz5hfmr+cX5wvmt+Zn5i/mE+Yj5n/m0+a75kfmE+Zj5r/mq+aH50fpH+sT7CPsU+xr7NftV+2T7Wfsr+tT6dfpd+sb7h/wp/F38P/wn/ED8afxq/DT74vuc+3r7e/uL+5b7lfuV+6H7tfvG+9L73fvp+/T7/PwE/Av8Efwa/Cn8P/xT/GL8bvx6/If8lPym/Lv8zfzY/N/85/zv/Pf9Af0T/Sr9Q/1c/XX9jP2j/b393/4E/iX+Rf5r/pn+yf70/x//UP+F/7n/6wAdAE4AfQCtAOUBIAFVAYABpwHNAfICEwIzAlUCdwKWArQC0gLwAw4DLQNSA3kDngO9A9kD8gQKBCQEQwRpBJIEtQTMBNAExQSyBKIEnAScBJ0EmgSTBIkEfwR6BHkEeQR4BH4EjwSnBLoExgTQBN0E7AT5BQEFBQUEBP8E/AT8BP0E/gUABQcFDwUOBPwE4ATGBLcEswSzBLAEoQSKBHcEcgR4BHcEZQRKBFUEMwQnBCoEMQQyBCoEIgQgBCIEIAQaBBcEGQQaBBgEGQQgBCYEKgQuBDoESwRbBGkEdwSIBJkEqgS9BNQE6wUABREFIQUyBUgFYQV6BZMFqAW5BcUF1QXzBh0GRgZlBoIGpwbMBvAHHwdZB4EHcAc6ByMHVAehB8IHrAeTB5gHnQdzBxcGqgZABdsFfgUvBPAEtgR5BD4EDAPgA7IDfgNGAwoC0AKaAmcCNAH/AcsBlwFiASYA3ACDACX/1v+l/5D/i/+U/6n/u/+w/3//O/8B/tn+tf6J/lv+Nv4e/gT90v19/RL8rfxl/Dz8J/wc/BP8B/vw+8/7r/uY+4b7bfs6+uT6hPpU+oj7CPtk+yj6Uflc+Nz4/flu+bv5rflY+Of4cff895L3Pvb79sD2jPZn9lX2VPZk9oT2o/ao9pn2nvbB9rz2Q/Vx9NP01vVE9Yj1VPTr9Lj0zvTs9OD0tvSV9Ij0efRY9Cr0BPPu8+HzzvO788Hz7PQc9CTz/vPV89Hz7PQE9A70GvQw9Dz0M/Qm9Cr0NfQq9ATz4/Pl9AX0HvQc9ATz5/PK86zzk/OG84Tzg/N983LzafNg80/zMvMQ8vTy4PLM8rDyjfJq8kTyE/Hc8a7xjfFq8Tbw//Dq8RXxb/HG8ezx3vG68ZvxevE28L7wL++5723vNe757rbueO5B7gnt0+2q7ZftkO2G7W/tSe0V7Nbsk+xS7BXr3euk62brI+ra6pDqTeoY6fLp0umy6ZDpaek26PDomOg85+fnledA5ufmk+ZK5g/l5OXD5ablguVc5TflE+Tq5L/kmeR35FXkMeQU5AHj8+Pk49zj3ePe49jj0ePR49jj3OPh4+3kAeQN5Arj/OPu4+Pj3ePc4+Dj6OPz5AfkK+Ri5J/kzOTZ5M7kw+TH5M7kzOTP5O3lI+VW5W/lcuV25Zrl9eaD5xXnbudy5z7m/ObJ5sbnFOet6E7otejm6RPpWOmd6dHqBOpH6o7qzesR623r2exB7KHs/u1V7aPt9e5i7u/vi/AY8HzwqfC08NXxMPGr8g3ySvKL8vnzhfQL9Hj00vUg9Wb1pvXf9hL2Tfao9yb3qfgR+GD4r/kI+W358Pqe+2D8Avxu/Lz9Af0q/Rr84fy3/L786/0k/V39lP3F/fD+If5k/rj/DP9R/4b/t//wADYAhQDRAQ0BPAFsAaoB8gIkAiYB/gHNAasBmwGYAbAB7wJGApYC0gMOA2QDzwQ5BI4EzgUEBTsFdgWxBeoGJgZsBq0G0QbfBwoHfwg0COsJdgnaCjQKkwrvCzQLVQtTC0kLWwuLC7ULtgunC8UMMQzRDXAN8w5gDssPQQ+/EDwQsBEdEYQR3xIlElkSihK9EuUS+xMIEx8TShOLE+UUUBS0FPoVJRVQFY4V1RYTFkgWfBaxFuEXBhcaFxUW/BbqFvcXIRdRF4AXuxgGGEIYVBhFGDwYUBhyGIwYoRi/GO8ZJRlVGXsZmBmyGcwZ4hnpGdwZzxneGhEaUhqQGs4bGBtsG70cBBxDHHEceBxSHA0bwxuJG2cbXxtoG3EbcBttG3AbahtJGxIa4BrHGr0athqzGsAa2Br0GxYbThueG/McPRyFHNodMR1mHV0dJBzkHMUcyxzZHMwclxxPHBUb9RvhG8UbnBtlGxUanRoLGY8ZYxmiGj0a9ht6G4gbIxqPGgoZpBlaGUcZdhmzGZ8ZFBhQF50XERayFrEXMhftGEcX5RcGFjIVvRWfFaoVshWVFUsU8hSsFH0UWRRWFKIVORXXFjoWbRadFtYW+Rb5FugW1xa9FpUWdBZrFmEWNRXmFY0VNhTVFGcUBBPGE7ITvBPME8gTlhM1EsUSbRI9EicSExHzEckRoxGMEW0RIRCnEDcQBhADD+wPqw95D4sPvw/DD4APNg8xD2sPng+TD1QPFw7+DvIOxA5dDd8Ncw0oDPEMywy/DMAMrwx7DDoMCQvqC8sLpAt4C0kLGwr4Cu0K7grnCs8KtAqhCowKbgpJCiEJ8AmwCWMJGAjbCK8Ikgh7CFsILQf5B8sHoQdzBz8HDQbmBsEGlAZmBlIGZAaBBngGNgXiBbQFvAXSBdMFxQXBBc0F2AXaBdwF4AXaBbwFiAVJBQgEyQSUBGwETgQ0BBoD+APNA5sDcQNTAzoDIwMXAxoDHgMUAv4C5gLPArMCkAJwAlkCTAJIAksCSgI8AiECCAH1AeYB1wHQAdUB1wHLAbYBqgGqAakBmgF9AVsBPwErARoBBgDtANMAvQCnAIsAbgBYAEkAMwAR/+z/zv+4/6D/g/9m/0//OP8h/w7/AP71/uT+zv68/rP+r/6q/qX+pP6h/pj+jf6H/ob+gP50/m7+ef6N/pb+jP57/m/+aP5b/kb+Lf4U/f796f3S/bf9mv2B/Wz9V/1A/Sr9Gf0K/Pz88fzs/Of83fzQ/MX8vPyx/Kf8ofyc/JP8hvx8/Hb8cPxn/GD8Xvxb/Fb8T/xM/Ez8SPxB/Dr8Nvw0/DL8M/w0/DT8Mfws/Cr8Kvwr/Cz8L/w0/Dv8QvxF/EP8Pvw2/DH8Mfw0/DT8L/wn/CP8J/wq/Cn8J/wr/Db8Q/xM/FD8Vvxg/G38fPyJ/JP8nPym/LP8w/zT/OT89P0C/Qz9FP0a/SL9LP00/Tn9O/0//Ub9TP1N/U/9Vf1d/V/9W/1Y/Vn9WP1P/UP9PP06/Tf9Mf0q/SL9Gf0Q/Qb8/Pzu/N38zPy9/Kz8lfx7/GP8T/w+/C78HvwO/AP7+vvx++j74fvf++D73/vc+9n71/vS+8j7wPu9+777v/u++737u/u5+7f7uPu8+8H7x/vP+9j73Pvb+9r73/vp+/T7//wJ/A78D/wO/A/8E/wa/CH8Kvw1/D/8S/xZ/Gv8e/yJ/Jn8rvzG/N/89v0O/SX9Of1O/Wb9f/2U/aX9u/3Y/fb+Ev4u/k7+bv6L/qb+yP7y/xz/Qv9q/5n/x//xABsATQCFALQA0gDgAOQA2wC5AGz/+/+X/4f/+QDgAg8DWgSlBdoG9wgVCUcKbAtEC78MDwxgDJgMiQxHDBgMEwv+C6cLNgrzCvAK+ArfCq0KfApYCj8KNQpCCmIKjwrCCvALDAsXCx0LHAsECtEKoQqTCpwKmwqCCmcKXgpbCkgKGwnaCYwJMwjXCH0IKgfiB7EHmweUB4MHXgctBvwGwgZ2BhsFwwV5BSwEygRSA9kDcAMQAqYCMQG9AVEA5ABzAAT/n/9B/uX+l/5l/kb+E/2r/RT8f/wd+/38BvwP/AL77Pvk++379vvw+937yfu2+537evtN+xL6wfpa+ej5ffkl+Of4xvi/+NT5BvlR+Z/51vno+dr5v/mn+Zb5jvmN+ZT5oPmr+aj5k/lz+VL5Nvko+TP5WvmD+ZH5ifmQ+bb52fnb+dP5/Ppl+tX7DfsU+x77Qvto+3P7Xfsk+sP6W/pC+rP7e/wa/D38Evv4/Bb8Ovwu+/D7qPt4+2r7d/uP+5/7ofuh+6v7vPvL+9j76Pv4/AL8CPwQ/Bz8Jfwr/DP8RfxZ/Gn8dvyC/Iz8lfyj/Lf8zPza/OH85/zu/Pf9AP0P/ST9PP1Y/XT9kP2p/cT95f4H/ib+Q/5l/o/+uf7g/wr/Ov9v/6L/1AAGADYAYQCMAL8A+QEwAV4BhwGwAdkB/AIdAj4CYAKCAqQCxgLoAwcDJgNJA28DlAO0A9AD5gP5BA4EKgRPBHYElASjBKMElwSGBHgEcgRxBHEEbARlBF0EWgRcBGMEaQRvBHkEiASbBKwEugTEBM0E2ATkBPEE+AT2BO8E6wTuBPQE9wT3BPgE+QT1BOkE2ATIBLsEsQSnBJkEhgRyBG4EhASpBMAEsgSHBGEEQAQ3BDoEPAQ4BDEELQQvBDEELQQmBCcELQQxBC4ELQQzBDsEQARFBE8EYQRzBIQElASmBLYExQTXBO0FBwUfBTQFRwVbBXMFjwWqBcIF1gXnBfIF+gYKBiUGRAZiBoEGpAbIBu4HJgdxB6sHrQeEB3AHmQfaB/UH4gfRB94H7wfYB40HJAavBjkFywVvBSQE4AShBGgENwQKA9oDpANpAy0C9ALCApICXwIrAfgByAGVAVsBFgDFAHEALAAB/+3/5f/o//P/8v/P/43/S/8h/wn+7f7I/qb+i/5t/jz96v17/Qn8t/yO/Hv8YfxC/C/8J/wQ++H7tfuo+6/7nvtW+uP6dvpJ+nf63fsd+tz6GPk++NH4+vlv+b/5tPlc+OH4WffR9173E/bq9sj2mfZj9jr2K/Y99mn2mfaw9qz2qva69q32RPWU9RP1HPV99a71cvUa9RT1YfWe9YL1JfTT9LD0qfSa9Hj0UvQz9BPz6vPI89H0FPRq9I70Z/Qj9AH0EvQ19FL0cPSW9Lb0uvSm9Iv0bvRJ9CP0F/Qs9Er0UPQ39BXz+/Pn89LzvvO187vzw/PD87jzqvOb84fzaPND8ybzFPMC8uTyvPKU8m7yQvIR8efxzPGy8YLxPfEG8QXxRfGj8e/yDPIG8fHxy/F/8QXwefAI777viO9N7wzuz+6a7mnuP+4i7hLuBe3v7c7tn+1j7SHs5eyz7IHsSOwH68brhOs/6vnquuqJ6mTqReoi6fvpzOmQ6UXo7+iX6EHn6ueT50Lm++a95oXmWOY25hXl7+XE5ZvldOVM5SHk+eTT5K3ki+Ry5GLkU+RF5D3kPuRA5DrkMuQx5DbkPORF5FXkZuRp5FvkRuQ05CfkIeQk5C/kPeRN5GnkleTI5PLlAuT25N3kyuTC5L3kuuTL5QDlSOWA5ZHliuWK5bHmGOa151fns+er52DnCubV5trnMOfN6HPo5ukk6VPphemr6cPp6Oot6n/qx+sP62rr0+w17Ivs4e0+7Zzt++5n7uzvhvAd8IrwtvC58NLxJ/GZ8fHyJ/Jp8tTzUfO89BH0YvS29Qv1XvWu9fT2OfaQ9wD3dffa+C34e/jQ+TX5vfpv+yX7sPwG/EP8cfx9/F78O/xD/Hn8vPz5/Tn9gP3E/fv+L/5x/r//Ef9g/63/+gBEAIkAyQEJAU8BlwHfAiUCaAKeArEClwJhAioCBAH0AfsCIQJeAp8C1QMHA0cDnAP8BFcEowTeBREFQwV4BbAF8QZABo8GyAbnBxAHbQf9CJsJJwmgChAKdgrKCwcLMAtPC3ULsAv3DC0MRAxYDJoNEw2gDhMOYg6jDvIPWg/SEEcQsRETEXARvRHvEhASNxJpEpYSrxK8EtAS+BM5E5gUERSDFM8U+BUfFVsVoRXdFg8WPhZuFpcWtxbLFs4WwBayFr4W6BceF1cXlhfaGAsYFxgPGBUYNBhZGHEYgRicGMgY9xkdGTcZRxlSGWEZdxmQGZwZmhmeGbwZ8xo1GnsayRsfG3cbwhv6HBwcIRwFG8gbeBsxGw4bGRs7G1QbWRtWG1QbRxsfGuYauRqmGp4akBqBGoAajBqZGqYavhrlGw4bNxtrG7UcCxxMHGYcXhxMHEwcZxyQHKkcmRxrHDwcFxvrG54bMhq2GjMZrhlDGR4ZVhnXGnMa8xskGvAadBn2GZ8ZWxkWGPAZHBmEGcIZjRj/GFwXwRcsFr4WpRbKFswWahXKFUYVEhUmFV8VlxWrFY0VThT4FHcTyRNCE14UNBVOFh8WhxbEFv8XJRcmFxoXFhcKFucWwha5Fr4WphZkFhEVwBVlFPQUgBQqFAIT+hP9E/ATxhOFE0YTHBL/EtoSqRJ0Ek0SQRJJEkER/BF5EPcQrxCOEFwQFBACEFAQuhDPEHIP8g+mD5kPng+PD3IPWw9XD1UPOg74DpgOMQ3KDWcNFgzoDNgMwwyTDFMMHgv7C90LuQuMC1QLGgrxCuYK6wrkCswKtQqnCpcKewpcCkAKHQnlCZgJSAkBCMsIpQiKCGsIOAf4B7sHiwdgBzMHBAbbBrUGiwZhBkgGTgZkBmQGOAX3BcwFxgXJBbwFpgWfBa0FvAXCBcYF0AXWBcUFlwVTBQoEywSbBHcEVQQ0BBID7gPCA5MDbANOAzMDFgMEAwQDCgMGAvQC3ALDAqcCiQJtAlYCQQIzAi0CKgIgAgwB+AHlAc0BtwGzAcMB0QHEAaABgAF2AXoBdgFhAT0BGQD8AOcA0wC+AKsAnACLAHQAWQBBAC4AFv/1/9D/sv+a/4P/Z/9K/y//Fv7//u3+4v7b/tL+w/6y/qT+mv6R/oj+gf56/nD+Yv5W/lH+UP5M/kX+Qv5E/kX+Q/5B/kL+Qf42/iH+CP3v/dj9wP2n/Yz9cv1b/Uj9N/0m/Rf9CPz6/O385Pze/Nn80vzJ/MH8uPyv/Kf8ovye/JX8h/x7/HP8bvxp/GX8Yvxg/Fz8V/xT/E/8TPxJ/Eb8RPxC/EL8RPxF/EP8Pfw3/Db8OPw8/ED8Q/xG/Ev8T/xU/Fb8VPxQ/Ev8SfxL/Ev8Rfw9/Dr8PfxB/EL8QfxG/FH8Xfxn/G/8ePyD/I/8nfyr/Lj8xPzO/Nf84/zz/QX9Ff0h/Sr9L/01/T39R/1S/Vj9Wv1e/Wb9a/1r/Wv9cf16/X39eP10/XX9dv1u/WL9WP1S/U39Rf09/Tb9L/0m/R39FP0H/Pb85PzU/ML8rPyQ/Hb8YvxV/Ev8P/wy/CX8GfwO/AX8AfwC/AP7/fvz++v76fvm+9/72PvW+9f71vvW+9f72PvW+9P71Pva++D75Pvq+/D78/vu++n77Pv5/An8Ffwd/CD8Ivwj/CX8Kvww/Df8P/xJ/FT8Yfxx/IH8kPyc/Kz8wvzc/PX9C/0h/Tr9Uv1m/Xj9jP2g/bX9yv3j/f7+F/4x/lL+eP6b/rf+0/73/yD/R/9s/5b/xf/0AB8ATACBALgA5AD+AQoBCwD8AMkAaf/4/7f/4gCLAZoC5wRIBZoG0Af+CUEKiQuSDCYMWAxlDGcMVQwwDBcMEgwCC80LjgtxC3ILYQsnCt4KpwqBCl8KRApDCl0KhQqvCtYK+wsaCzALNgslCv8K2grMCswKxgqzCqYKrAq8CroKjwozCbUJLwjBCHAILgfuB70HqQenB5sHeQdQBy8HDgbaBpEGQwX7Ba4FTATXBGED9gONAxoCngIoAcYBdAEnANUAdgAH/5H/J/7W/pL+Pv2//Rf8cfwB++D78Pv9++z70vvU+/T8FPwb/Ar77vvO+6r7gvtV+xf6wfpa+e/5i/kx+Oj4vvi/+Or5NfmK+dL5+/oH+gX5+/nl+cb5rfmo+bD5svml+Y75dPlY+Tj5F/kH+Rb5QPlu+Yv5m/m4+ef6D/oa+iH6Ufqu+wP7IPsZ+yT7U/uC+4/7dvs4+tT6a/pS+sL7gfwM/Bn73vu/+9P75fvH+4v7WvtH+0v7Xft5+5P7ovuq+7j7y/ve+/H8BvwV/Bb8EfwT/CL8Mvw6/EH8Tfxe/G78fPyJ/JL8mPyh/LT8yvza/OL86fzy/Pv9A/0P/SH9OP1U/XP9kP2q/cT95P4H/ib+Qv5h/ob+rP7O/vX/Jf9Z/4v/vP/tAB4ASABwAJ4A1gENAT4BawGXAcIB5wIKAi0CUQJ0ApUCtQLWAvUDFgM6A2ADgwOiA7wD0gPkA/gEEwQ0BFIEYwRnBGEEWARQBEoESQRKBEwESQREBEAEQwRLBFYEYQRtBHkEhASQBJ0EqgSzBLgEwATRBOcE9gT3BPIE+AUIBRUFEgUABO0E4gTfBNwE2ATRBMcEtwSjBJAEgAR5BIQEpgTPBOMEzQSYBFIEQgRBBEMEQgQ+BDoEOQQ7BDsENwQ1BDoEQgRFBEIEQQRHBFEEWQRgBGsEewSNBJ4EsATBBNAE3wTyBQkFIgU6BVEFZwV+BZcFtAXRBeoGAAYVBiUGLAYxBj0GUQZpBoMGogbFBvUHPAeXB+EH9AfaB8kH5ggWCCkIFwgFCA4IIAgZB+QHhwcOBowGFAWvBVkFCwTIBJIEZAQ0A/4DxwONA1IDGgLnArUCgQJOAh4B7wG9AYMBQADxAKIAZABCADQAKwAkABsAAf/I/4D/Tf84/yr/Dv7s/tX+xv6k/lv98P14/RX83vzO/L78k/xf/EL8O/wm+/T7y/vN++D7xvtg+tX6aPpN+oj66fsY+sT57/kD+In4svk1+Z75p/lZ+N74UPe/90L29PbS9sH2oPZu9j72K/Y/9nP2qvbF9r72rvam9or2L/Wo9Uz1WvWi9bf1efVA9Wv15vY99iH1r/U+9P305PTS9Lf0k/Rs9Eb0IfQI9Az0O/SB9K/0o/Rv9En0VfSI9MD08PUU9Sv1K/UU9Ov0uPSC9Fv0VPRp9H30ePRa9Dn0IvQT9ATz9vPw8/Pz+fP78/Tz5vPW88LzpfOB82DzS/M58xvy8PLE8pvycvJF8h7yBfHy8czxi/FG8SXxQfGR8e7yMfJK8j3yDvG38TvwuPBN8Abv0e+a72DvKe757tHus+6d7obuae5I7iXt+O2+7X3tRe0Y7Ojsq+xk7CHr4uui62HrJur36tLqr+qJ6l3qJ+nl6ZnpSOj06JzoQefq56DnZOcu5vrmzOam5oPmWuYr5f7l1uWu5YLlV+Uu5Qfk5+TQ5MHkseSh5JrknOSd5JjkkOSN5JHkmOSl5LXkveS25KLkjeR75G7kbOR45IvkmuSs5Mzk+uUl5TblKOUI5Ojk0uTE5LnkuuTc5SLlcOWf5ablnOWj5dXmRObm54jn3+fL53LnG+bz5wvnaugC6KLpFOlN6WzpgumO6ZfpveoL6mjqt+sA61frvOwa7G3sxu0x7aXuEO527unvefAY8JTwx/DF8NTxHvGG8dLx/PI08pLy/vNS85Pz2vQ09Jv1CPV29dr2MPaC9t73Q/ek9//4VPin+Qf5iPop+sb7OfuD+7776fvu+877vPvk/Dn8kvzY/Rv9ZP2t/ev+Jv5p/rb/CP9e/7cADQBZAJcAzQEKAVwBwQIeAmECkQLCAu8C/gLeAqYCfQJ2AokCqgLXAwoDPANrA50D3gQvBIUEzwUGBTMFYgWXBdAGFAZrBsoHGgdPB4MH0ghCCLgJIQmBCeIKQgqYCt8LHAtbC6oMDgx3DM0NBA0yDXUN0A4pDmwOnA7NDxIPbg/VEDkQlBDpETgReBGdEbYR3BITEkgSZxJ2EoQSoRLcE0ATxRRFFJkUwxTjFRMVShV7FagV3BYWFkoWdBaQFpoWkRaHFpMWvhb7F0EXihfKF+wX7BfkF/EYFhg6GE8YYRiAGKsYzhjjGO4Y9Rj5GP4ZERkxGU4ZVhlSGWEZkxneGi0afBrTGy4bfBuuG8QbxxuyG3obJRrWGrQayhr5Gx0bJhsiGxobBRrbGqUafhpvGmgaWhpHGjoaOhpEGlMaZxp3Gn0afRqKGrAa5BsUGzQbRBtMG1obgRvGHAwcMRwtHBMb7humGygaghndGVgZARjrGScZpxo5GqYa0xq7GmsaBRm2GYoZWxkIGL4YzhlBGbwZ2hmSGRoYmBgLF34XDRa/FnMWFRW+FZIVnRXKFgYWOBZHFi8V+hWbFNcTpxKQElcTPxS4Fe4WkxbnFyoXVRdWF0YXRxdKFzMXDxcAFwUW9Ba7FnEWLxXsFZQVMhTlFLcUmBRuFC0T5hO4E7cTzhPNE5ATKRLLEp4SphLMEuESuBJREdwRhhFAEOkQmRCZEQIRexGOESMQhhAMD9APwQ/OD+EP5A/KD6MPhQ9xD1UPFA6eDgANZQz9DNEMvwykDHoMTwwnC/sLyAuVC2ILLwsKCvwK+AroCswKtQqqCpwKgApfCkUKJwn1Ca8JZAkgCOUItQiRCG8IPAf1B6sHcQdKBygHAgbZBrIGjgZqBksGOgY2BjIGHAX6Bd4F0QXIBbMFmgWPBZcFpAWsBbQFwQXMBcIFngViBR4E3gSoBHkEUAQqBAoD6APAA5MDbQNPAzEDEAL4Au8C8ALuAuIC0gK9AqQCiQJxAlkCPwImAhYCDQIEAfgB6wHYAbsBoAGYAaYBsgGhAXYBTwFCAUsBUwFIASgA/QDUALQAngCOAIIAdwBrAFoARgAyABv//P/X/7D/jv9z/1z/RP8o/wv+8f7e/tL+yv7F/sH+uP6p/pf+hf52/mf+Wf5Q/kf+Of4m/hr+Gv4e/iD+H/4f/iP+J/4o/if+Hv4M/fT93f3I/bL9mf1//Wj9Uv08/Sn9Gf0M/QD89Pzn/N381PzO/Mj8w/y9/Ln8tPyu/Kn8pfyh/Jj8ivx9/HP8b/xr/Gf8Y/xg/F78W/xW/FH8TfxM/Ez8S/xJ/En8S/xN/E38SfxE/EP8RfxK/E/8UfxR/FL8Vfxa/GD8Yvxj/GL8Yvxj/GL8XfxX/Fb8Wfxd/F/8Yfxm/G78d/x//Ir8l/yk/LD8vPzL/Nv86vz1/P79CP0W/Sb9NP0+/UT9Sv1P/Vb9Yf1s/XP9dv15/YH9iP2K/Yn9jv2W/Zn9k/2N/Yz9jv2J/X/9dv1t/WP9Wf1S/U39R/0//Tb9LP0f/Q/8/fzs/Nn8wfyl/Iv8ePxr/GD8VvxL/ED8Nvws/CT8IPwh/B/8FfwH+/37+/v5+/T77/vt++377fvs++377/vu++z77/v2+/z8APwD/Aj8CvwF+/37/vwL/B38Kvwv/DL8Nfw4/Dz8QvxI/E/8V/xg/Gv8ePyG/JT8o/yv/L781Pzv/Qn9Hf0w/Un9ZP16/Yj9l/2r/cL92f3x/gn+If44/lX+ev6i/sL+3v79/yL/Rv9o/4//wf/4ACkAVACBALUA6AEQASgBNQE0ARsA1wBxABcADAB2AVACfAPWBTkGiQfJCRUKawuNDDcMawxuDHgMgwx0DFEMMwwcDAIL6wvmC+ULwgt3CyoK+QrXCqYKcgpdCnMKmAqzCsoK7AsYCzoLRgs9CykLEwsBCvYK7groCugK8AsBCwoK6wqLCfAJTQjUCIwIUwgRB9QHuQe4B7EHkwdyB2IHWAc6BwAGuwZ3BioFxwVWBOQEeAQHA4YDAgKUAlICOgIvAgoBrwEjAIj//v+R/zL+xv43/YH8xvxA/BL8H/wn/Aj74vvi/Av8M/w+/C/8Ffvy+8j7n/t5+0T68fqE+hL5qPlI+Pr40/jg+R35d/nR+gr6G/oV+hD6Dfn3+cv5qfmn+br5vfmn+Yz5eflq+VD5Mvkk+TH5Ufl1+Zb5uPnj+hX6PfpV+nP6sPsD+z77Q/st+zH7XvuR+6X7lPtd+v/6oPqN+vX7m/wC++/7o/t8+4f7i/to+zn7JPso+zT7Q/tf+4L7oPu0+8n74vv9/Bn8NPxD/D38Kvwg/Cn8OvxG/E78WPxk/HD8fPyK/JX8nPyk/LX8y/zc/OX87Pz2/P79Bv0Q/SD9Nv1S/W/9i/2j/bz93P3//iD+Pf5c/oD+o/7D/ub/Ev9F/3f/qP/ZAAkANABcAIgAuwDvASABTgF7AaYBzQHzAhoCQQJkAoMCoAK9AtwC/gMiA0cDaQOFA5wDsQPFA9oD8wQNBCAEJQQiBB4EHgQhBCQEKAQtBDIENAQyBDEENAQ8BEYEUgRhBG8EegSDBI4EmwSkBKcErwTGBOQE9gT2BPMFAwUkBTsFMAULBOgE2QTbBOAE4QTdBNEEuwSiBJAEigSOBJoErQS/BL4EogR3BEoESwROBE4ESwRJBEkESARHBEYERQRHBE0EVARWBFYEWARfBGkEcgR8BIgElgSjBLIEwwTVBOYE+AUOBSUFPAVRBWgFgAWYBbEFzgXqBgQGHgY5BlEGXAZeBmIGcQaEBpgGrwbUBw0HYQfBCAwIJAgTCAYIHAhDCFUIRwgyCC8IOgg8CBwHzAdTBswGUgXpBYsFMwTtBLoEjARXBB4D5wOzA3sDPwMDAscCjgJaAiwCAAHOAZQBUwEIALwAgQBkAFoAUQBAACX/9f+w/23/S/9H/0D/If7+/u3+3/6z/lv96v2A/TX9Ef0G/PD8vfyD/GL8Vfw6/Ar76/vy+/j7u/s3+qf6VPpa+qr7Dvsy+sb5z/jA+C34UPjj+Wb5hflB+Mj4QPe99032/vbS9r32pfaA9lv2TfZm9pr2zPbh9tT2uPac9m/2HfW69X/1jPWz9ar1avVH9Yn2F/aL9p32WfX29Z71W/Un9Pn0xvSV9H/0i/Sj9KT0lfSc9Mn0/vUT9Qz1EvU/9X/1rfW29aX1h/Vj9TT0+vTA9Jn0jfSX9KL0nfSK9HD0V/RE9Df0LvQn9CL0IfQi9CL0GvQN8/rz4PO985vzgvNv81TzK/L98tLyqvKA8lzyQvIt8g7x2vGa8WvxavGk8gHyWPKC8nLyMPHM8Vfw6PCO8E3wGO/n77fvi+9j70DvJe8M7uvuw+6e7oDuXO4n7entse2C7UztCOy/7HvsP+wD68jrk+tl6zvrEOrj6rPqeuo36erpm+lK6PTomuhF6ADnyueZ52jnOucS5u3mwuaT5mfmP+YW5ejluuWQ5WnlSeUx5R7lDOT+5Pfk+OT55PTk7OTo5Ovk9OUD5Q/lDeT+5Ovk2+TN5MLkxOTW5Ovk+OUG5SblUuVv5WjlROUa5Prk5OTU5Mvk2eUL5Vnln+W75bPlquXA5gPmeOcY57Ln/+ff54DnMece50rnreg16L/pH+lJ6VTpV+lZ6WXplOns6k/qourr60Dro+wB7Ffsue0x7bHuIO597uHvavAP8JbwzfDD8MPxA/Fk8ajxxPHs8jzynfLl8xnzWPO29C30sfU59bX2GvZu9r/3E/dq98L4Gfhv+Mv5PPnC+kP6pPrt+zD7ZPty+2D7X/uV+/f8W/ys/PH9M/13/bz+Bf5U/qf+/v9a/7YACgBUAJMAyQEGAV0BzQIwAmICcQKNAskC+gL0AsQCpQK7AvMDKANVA4gDxQQDBDsEdwS/BQkFRgVwBZcFxwYABjwGggbaBz0HlQfWCBAIWQiuCPcJKwlZCZoJ8QpUCrYLFAt3C+wMcwz4DWINpQ3SDf0OLQ5ZDoMOsw7xDzoPiQ/ZECcQcBC2EPkRLRFOEWgRjhHFEfwSIBIxEjkSSxJ+EuYTdxQEFGIUjxSoFMYU5xUKFTkVehXFFgoWQBZiFmwWZBZdFmwWlxbaFywXgBfAF9YXyBe6F8UX5RgAGBAYJhhNGHgYkBiUGJQYmRifGKEYqxjJGO0Y/xkBGQ8ZRBmWGesaOhqOGucbMxteG20bahtRGxQauxpwGlkadhqmGsca0xrSGskatRqUGm4aUBo/GjMaIRoJGe8Z3RnZGeIZ8hn7GfYZ6hnpGfgaDxomGjgaRhpLGlEabxqxGwMbPRtPG0UbKBrjGmYZzBlMGQgZBBk4GZ4aHhqLGr4atRqHGkoaDRnhGcAZhhkcGLIYpBkTGbYaGRoMGbEZPRjJGFkX8BePFzYW7hbKFswW4hb8FxEXFBb0FroWfhYnFVkT7RJtEcwSghQOFYIWZhblF0YXhheQF38XfxeJF3wXWBc/FzoXLBb/FsQWlBZnFiwV6BW1FZQVaxUeFKwUPBQDFBQURxRQFAMTgRMTEukS+xMlEz4TKxLqEpYSRRHtEYMRLREpEX0R1RHREWUQzhBND/8P8xAlEGwQhRBQD/UPtw+vD7wPng8vDnoNvQ07DQYM/AzyDN0MvwyRDEwL/wvGC6cLkwt6C10LOwsNCtwKuQqrCp0KgApaCjgKFQnlCaoJcQk/CQ0I1QihCHIIPQf5B6wHawdBByQHAwbZBrEGlQZ/BmEGOQYTBfwF8QXoBd4F1AXJBbcFoAWPBYoFkAWbBaoFugXBBbYFlwVpBS8E7wStBG8EPQQaBAED5wPEA5oDdQNVAzUDFQL6AuwC5QLdAtMCxgK1AqACiAJxAloCPQIfAgYB9wHtAecB3gHNAa4BjgF9AX0BeQFjAT4BIgEdAScBMQErAREA5wC4AJIAewBwAGcAXABNAD4AMwAmAA7/6v+//5T/b/9S/z7/Lf8V/vb+2P7F/rv+s/6q/qP+mf6J/nP+X/5P/kH+N/4z/jP+LP4a/gv+C/4W/h7+H/4f/h/+Hf4V/gj99f3e/cb9s/2i/ZD9eP1g/U39O/0o/RX9Bfz6/O383vzR/Mn8w/y9/Lb8svyv/Kz8qPyl/KT8o/yg/Jn8jvyB/Hj8cvxt/Gb8X/xd/F78Xvxa/FP8T/xP/FD8T/xM/Ev8TPxP/FL8U/xS/FH8U/xY/Fv8W/xY/Ff8Wvxg/Gf8bfxx/HT8d/x5/Hf8dfxz/HX8evx9/ID8hfyL/JH8lfyb/KX8svzA/M383Pzs/P39Df0a/ST9Lv06/Un9Vf1c/WL9aP1u/XX9fv2I/ZD9k/2V/Zz9pP2o/aj9q/2x/bP9rf2k/aH9of2e/Zn9kv2K/X/9df1v/Wv9ZP1a/U/9Rf04/Sj9Fv0E/O781fy7/KP8kfyC/HP8Zfxb/FT8TvxI/EH8PPw6/Db8LPwe/Bb8FfwU/A/8CPwF/Ab8B/wF/AT8A/wB/AD8BPwN/BX8Gfwb/B/8Ivwf/Bn8GPwi/DL8PvxD/EX8SfxO/FP8WPxf/Gf8cPx6/IT8j/ya/Kj8t/zE/NH85Pz+/Rr9Lv0+/VL9bP2E/ZT9ov22/c795f38/hb+MP5H/l7+fP6h/sX+5P8B/yH/QP9f/4X/t//xACgAVwCEALQA6AEaAT8BVQFfAVkBMwDlAIoAXACKASACEANEBKMGBgdZCKkJ+gshC90MLQxXDJQMzQzMDJUMWQw4DCcMHAweDCQMDgvXC6ULkQt+C0EK6QqxCrAKwAq6Cq8KwgrzCyELNws+C0ELPQstCyALJAs4C0YLRgtGC0sLNgrcCjwJjgkUCNMInwhYCBEH6gfhB9EHrweOB4MHgAdrBz8HCgbRBoYGIgWzBUsE5wRzA+cDWgL1AtkDAgM9A0MC7AJJAZQA9gB1AAD/hP7v/jX9a/zO/I38kPyM/Fv8IPwP/Cn8RPxG/D78Nfwh+/n7zPuo+337MfrD+kj51fl1+TX5Ivk/+YL52Pom+k76RPoh+gf5+fnc+ar5hvmR+bf5yvm/+az5pfme+Yr5cPlm+W75fvmP+ab5yPnz+iL6UvqB+rP68fsz+137XPtE+0D7YPuP+677rfuE+zb66frh+z77v/v4+8b7bftE+077Ufs1+xn7GPsn+zL7PftX+4H7qfvF+977+vwa/D38Yfx3/HT8XfxJ/ET8S/xT/Fv8Y/xq/HD8efyG/JP8nPym/Lf8zPzc/Ob87vz2/P79Bf0O/R79NP1P/Wv9hf2b/bT90/33/hj+Nv5W/nv+n/6+/t3/BP80/2X/lf/E//QAIgBNAHoAqQDYAQUBMQFbAYMBqQHQAfoCIwJIAmgChQKiAr8C4AMDAyYDRgNiA3oDkgOoA74D1APmA/AD8gPwA/MD/QQIBA4EEQQVBBwEIQQjBCMEJQQrBDMEPgROBGAEbwR6BIYElASeBKQErQTDBNwE5ATYBM8E5AURBTIFKwUGBOYE3wToBO4E6gTgBNAEuQSgBJIElAScBJ0ElQSKBHoEZgRTBFsEXgRcBFcEVARWBFgEVwRWBFYEWgRdBGEEZARnBGsEcwR7BIIEiASSBJ4EqgSzBL8E0ATjBPYFCwUkBT0FUQVlBXwFlAWrBcIF3QX5BhIGLQZNBmoGegZ+BoYGmAasBrwGzgb1BzoHkwftCCoIOQgoCB4IMwhaCHUIcwhhCFYIWQheCEcH/QeFBv4GhQYbBbcFWQURBN4ErgR0BDkEBgPWA6ADXwMYAs4CiAJQAiUB/QHMAZMBVgETAM0AkwB0AGcAWAA+ABj/4v+f/2f/Uf9V/1D/L/8L/vX+3f6l/kv96f2a/WT9Q/0t/RD85fy5/Jz8gvxW/B/7//v1+8/7ZfrU+mb6Svp3+s/7Jfsz+rT5rviV9/n4Ffim+S/5Wfka+KD4Ive792v3Kfbz9s32s/aa9oP2ffaX9sX27fb89vL22Paw9nD2G/XM9ab1q/Wy9ZD1TPUp9Vz13/Zy9tb27fa79l72AfW69X/1M/Tk9M31CvVc9WL1E/TX9Q/1o/Yh9kX2N/ZE9nf2m/aG9kT1+vW59Xr1OfUA9Nz0zfTK9Mv0yvTA9Kv0jvRz9GT0XfRU9Ef0QfRF9E30TfRB9C30E/P189fzv/Oq84/zavM+8xTy7vLL8qjyifJr8kryHvHp8brxrvHb8jXyjvKy8o/yNPHH8WTxFPDW8J7wa/A98Bfv9u/U77HvkO9v70jvIO8A7ujuyu6Y7lzuIu3s7a3tZO0b7Nnsnexl7DDsAuvU66Hra+s26wXqzeqI6jrp6emZ6Ufo8+il6GToMOgB59LnpOd751LnJ+b65tHmqeZ+5k/mIOX25dDlruWR5XrlaOVc5VflV+VW5VHlS+VH5UnlU+Vi5WnlYuVQ5UDlNuUr5SHlJOU15UnlVOVg5X7loeWs5ZHlYOU05RblAeT05PXlEuVR5Z/l1eXa5cDltuXa5i3mqudF59foG+f055DnR+dE537n3ehP6LvpA+ke6SLpJukx6UvpgenX6jfqi+rX6y7rkuv37FvsyO1H7cbuMO6F7t7vXu/88IHws/Ch8Jjw0/E18XjxjfGn8fDyTfKR8rvy8PNP89P0ZvT29Xj15/ZF9pn25vcs93P3w/ga+Hf42/lH+bD6CfpW+pz61Pru+vP7B/tD+6H8Bvxe/KX85P0m/XX9z/4q/oL+3f86/5L/3gAmAG4AsQDzAUkBugIdAkICNgI9AnoCvwLJAqECjQK7Aw8DVgOHA78ECgRbBKIE5AUqBWsFmgW3BdUGAgY6BnQGtwcMB2wHwwgKCE8InwjuCSMJOglLCXUJwwopCpgLCguHDBYMsw1DDaoN5Q4IDiUOQw5hDocOvg8DD0kPhw/CD/4QPBB7ELcQ6BELESgRShF4EaoR0xHrEfMR/hIsEpcTLxPCFCQUVRRtFIEUlxS1FOoVNhWJFdIWCxYvFjkWMRYsFjwWZxapFwAXXhekF7YXoBeIF4wXoReyF70X0xf8GCIYMRgsGCoYNRhDGEkYThhkGIgYpRi0GMsZAhlWGa4Z/hpPGqUa7RsVGx8bEhrkGpAaMhn4GfwaJxpSGm0afBqEGn4aaxpTGkEaNBonGhUZ/hngGb0ZnRmGGXwZfRl+GX0ZfBmDGY8ZnBmlGa8ZuBm2GawZrRnJGfUaFBoZGhQaCxntGasZXhk4GVEZlRnoGjoahhq2Gr0aoxqDGmUaRhojGfcZrxk/GMgYmBjkGYgaGBo/GfoZhBkaGNEYmhhfGB4X6hfTF9AXzRfFF7kXnBdYFv4WthZyFcsUdBLOEcsSEhNiFOUWBBbAF0wXqxfIF70XuRfEF78Xnxd9F20XYBdCFxkW8xbNFp4WbhZOFjoWGBXMFVgU2xSFFG0UexRwFCkTwRN0E2ATbxN+E3gTXBMwEvsSvxJ0EhgRyxG1EdYR8hHQEW8Q9BCCEC4QGhBXELoQ7xDEEFgP9Q/ID70Pow9ODsMOMg3SDasNmg2BDWMNRw0ZDMcMZwwuDCoMNgwmC+4LnAtACuwKswqcCpIKfgpaCjAKBQnTCZ4JdAlVCTII/Qi7CHsIQAgBB70HfAdMBysHCAbbBrAGmgaRBnsGRwYFBdQFwgXDBcYFxQXCBbgFpAWKBXcFdgWGBZ8FswW1BaQFhQVeBS4E8ASmBF8EKAQHA/UD4QPFA6IDfwNfAz8DIQMJAvkC6wLbAsoCuwKsApkChQJwAlkCPgIeAgAB6gHeAdgB0AG/AaMBhAFrAVcBQAEjAQsBAQEFAQsBDAEFAPIA0gCpAIQAbABhAFgASAAwABwAEwAM//n/1v+r/4H/XP9B/zL/Kf8U/vD+yP6t/p3+j/5//nP+Z/5W/j/+Lf4l/iP+I/4o/jH+Mv4n/hr+GP4h/if+I/4c/hP+B/30/d/9yv20/Z79jP1+/W79WP1D/TL9JP0T/QL89/zt/N78yvy7/LX8svyu/Kn8pvyj/J/8mfyW/Jb8l/yV/JH8ivyC/Hz8dvxv/GX8XPxa/F/8Yfxd/Fb8U/xT/FT8UvxQ/E38TvxR/Fb8W/xd/F38YPxk/Gb8Y/xe/F38Yvxp/HD8d/x+/IX8ifyL/Ir8iPyL/JL8mfyd/KH8qPyx/Lb8uPy9/MX80Pzd/Oz8/f0O/R39LP07/Uf9Uv1d/Wr9dv1+/YT9iv2R/Zf9nv2n/a79sv20/bn9wf3F/cb9x/3L/cv9xv2+/bn9tv2z/a/9q/2n/Z/9l/2R/Yr9gP10/Wj9Xv1S/UP9Mf0d/Qf87fzU/L/8rfyc/Ir8ePxs/GX8Yvxe/Ff8UfxP/Ev8Q/w4/DL8M/wz/Cz8JPwg/CL8I/wi/B/8G/wY/Bf8Gvwi/Cv8L/wx/DX8Ovw7/Dj8OPw+/Er8VPxY/Fr8X/xl/Gn8bvx1/H/8ivyU/J78p/yx/L38y/zZ/OT89P0M/Sn9QP1P/V79dP2M/Z/9sP3F/dz98f4H/iL+Qf5b/m/+hv6k/sb+5P8A/xz/O/9c/4H/rv/hABcATACAALQA7AElAVUBcwGCAYkBfgFQAQQAxADBARABtgK0A/8FagbJCBcJYwqTC3AL8wxWDMENDw0GDLcMagxEDC8MGwwbDDgMTwxIDEIMVAxZDBcLmwsxCwAK4wqxCoIKhwq7CvALDQsjC0ILWAtZC1gLdAukC8ALuQunC54LhgstCowJ3gllCSkI+Qi1CGwIPAgjCAUH1wetB5UHgwdnB0cHLQcMBsoGZAX1BZYFPQTOBD0DpwNEAz8DkgP7BB8D0AMtAnsB4QFWAMoAPP+n/vj+M/2O/Tv9Kv0P/MT8bfxE/ET8Rvw8/D38UPxV/DT8APvU+6v7afsD+oj6FPm8+ZP5nfnL+gj6SvqD+pr6e/o4+f352Pmx+X/5Y/l8+bf54fnp+eb56fnn+df5w/m++cD5vvm4+bn5xvnf+gr6Tvqc+t77DPsu+0j7UvtK+0T7Vft7+6L7s/ue+2b7MPsz+3771vvo+6T7UPsw+zz7Qvsu+xz7I/s1+z/7R/ti+4/7vPvd+/f8Evww/FT8ffyd/Kn8nvyI/HX8avxn/Gv8cvx1/Hb8e/yG/JP8nfyn/Lf8yvzZ/OT87Pz0/Pv9Af0L/Rr9L/1K/Wb9gf2Y/bD9zv3w/hL+MP5R/nb+mv66/tj++/8l/1P/f/+s/9sACwA8AGsAmADDAO0BFQE8AWABhAGrAdQB/AIhAkMCYwKCAqECwQLjAwUDJQNFA2QDggOcA7IDwwPPA9UD1wPaA+UD8wP/BAIEAAP/BAMECgQOBBAEFAQbBCMELgQ9BFIEZgR2BIUElQSiBKsEtQTDBMwExASuBKMEuATnBQ0FEAT7BOsE8AT5BPUE5QTXBM0EvgSpBJwEnASeBJQEfARkBFYEUgRVBHYEcgRpBGEEXwRiBGUEZQRnBGsEcARzBHQEdgR7BIMEjQSUBJcEmgSjBK8EugTBBMwE3wTzBQYFGwU0BUwFYAV0BYsFowW4Bc8F6QYDBhoGMgZRBm8GgAaIBpgGtAbQBuIG+AcqB3sH2AgjCEgIRQgwCCgIQAhuCJQInwiUCIcIhgiHCG0IIAekBx0GpQY9BdkFewUzBP4EywSPBFUEJQP2A78DfAMvAtkChQJEAhoB9wHKAZQBWwEgAOMAqwCHAG8AVQAxAAj/2v+o/37/bf9t/2L/P/8W/vX+0P6R/j/99P3A/Zv9e/1c/Tz9HP0B/Oj8v/x8/DT7/vvL+2v63fpf+jL6Wfqj+uv7HPsL+oX5kviW+Aj4FviJ+QH5MvkC+I/4Efe394H3Uvcd9u32z/a+9rD2rvbC9ub3BfcX9xz3EPbi9ov2JvXY9bX1rPWb9W31LfT/9Q71cvYW9rz3GvcN9r72e/Zr9lz2CvWF9Tj1afXN9df1avUT9Wn2VPcq92/3TPc592H3h/do9wn2mvY39dz1iPVI9SX1FvUL9QP0/vT39OP0xPSl9JL0hvR59Gv0ZvRx9ID0hPR49GP0TvQ59CP0CvPw89LzrvOI82PzQ/Mk8wHy2fKv8oXyWPIm8fzx9/Ip8oPy0PLe8p/yM/HJ8X7xT/Ep8PzwyvCc8HrwXvA98Bfv7+/K76fvie9y713vPO8K7s3ukO5R7gztwu187T3tAuzK7JvscOw/7ATrxeuN61zrJurh6pDqPOnq6ZzpUOkJ6MvomOhp6DvoDefi57fniude5zXnDebh5rHmguZY5jPmEOXw5dblxuW+5bvluuW35bPlsOWu5bDluOXE5cnlwOWu5Z/lluWM5YHlguWT5aXlseXC5dzl8OXl5bnlheVb5T7lKuUk5TPlXeWf5ePmB+X65dTlyeX15lPm1edu5/roOOgM56TnWude56Dn++hY6Kjo2ujs6PXpCukr6VPph+nP6iPqdurI6yPri+v77HPs9O117evuSu6Y7unvVO/X8EfwdPBl8GHwnvEF8UzxYPF28b3yG/Jc8nfynvL784j0IvSw9Sv1m/YG9mj2t/bw9yX3avfD+CH4efjM+SH5dvnH+gv6PPpb+nb6ofrl+zz7mvv0/EL8hvzO/Sf9if3n/j7+mf72/0T/gf/AAA0AWwCkAPoBagHPAfcB6AHtAi4CfgKTAnICYgKVAuwDMwNjA50D8ARMBJsE4gUoBWUFjQWkBbwF4AYOBkAGfwbSBzAHhwfYCDAIlAjzCTQJVglwCZsJ4Ao2CpYLAAt8DBAMrw05DZQNxw3rDhYOQw5rDo8OvA7uDx4PRg9wD6MP4BAhEF8QlhDDEOYRBxErEVgRhxGqEbYRvRHnElES6BN1E9QUCBQqFEcUYhSGFL8VBxVQFZEVyxX2FgYWABX7FgkWLBZlFrcXGBdjF3gXYBdEF0MXVBdlF3AXgxeiF78XyxfIF8oX2hfvF/wYAhgSGDEYURhoGIUYvRkQGWgZuxoQGmYarxraGuUayhp/Gg0ZpxmDGaYZ4RoIGiAaOhpPGk0aMRoWGg0aERoQGgQZ6xnMGakZiRlwGVwZTRlFGUQZShlUGV0ZZBltGXoZhxmIGXcZXxlPGUcZPBktGSgZNxlJGU4ZVBl+GdYaOxqHGrIaxhrKGroanxqHGnUaXBo0GgIZxxl2GQsYsxi0GSEZuRoTGfoZlBkvGPkY4BjAGIwYWRg1GBsX/xfoF9wXyBeLFy0W2hadFiEVBxNyEigR7hLYFE0VoRaaF0cXuBfpF+sX5xfuF/AX3Be+F6gXmBeDF2QXQRcYFukWvxajFpAWdBZCFfUVkRUpFNYUoRR3FEUUExP5E/sT/BPjE7QTgRNVEzATChLbEqESaBJCEi4SEhHZEYsRNBDYEH4QRxBZEKgQ8hD5ELQQTQ/tD6kPeA9EDwAOvg6RDnQOSA4EDcUNoQ16DS4MzQyWDKAMvQyqDFYL2gtYCugKnAp9CnkKcQpVCi0KAwnVCaMJeQldCUUJHAjbCJAISggNB9IHmAdlBzwHEgbgBrIGmgaWBocGUwYCBbwFmQWWBZ4FpgWrBacFkwV0BVoFVgVsBYsFogWhBYsFagVGBRoE4ASYBE8EFwP1A+MD0wO9A6MDhwNpA0sDMAMaAwkC9wLgAsoCtgKmApcChQJxAloCQAIhAgAB4wHRAckBwQGxAZkBgAFnAUcBIAD8AOsA6wDwAO4A5gDbAM8AuwCeAH0AYgBRAEMALQAO//P/5//j/9T/t/+S/2//UP82/yj/IP8L/uH+sP6M/nb+ZP5R/kT+Pf4x/h7+Ef4S/hv+Iv4p/jH+M/4p/hz+Ff4V/hH+B/36/e/93/3M/bn9p/2S/Xr9Zv1X/Uf9NP0h/RH9A/z0/Oj84vzc/M38uPyp/KP8o/yh/J/8nvyb/JP8ivyG/Ib8hvyF/IP8f/x8/Hn8dvxw/Gb8Xvxd/GD8Yvxe/Fn8V/xX/Fb8VPxS/FH8UPxT/Fn8YPxk/Gb8a/xw/HH8bfxp/Gv8cfx4/H78hfyO/Jb8m/yc/Jv8m/yg/Kn8svy4/L78xvzO/NX82vzi/Ov89Pz+/Qz9IP0x/T79Sv1Y/Wb9cv18/Yn9lv2f/aX9qv2x/bf9vP3D/cr90P3S/dX92/3f/eH94v3j/eP93/3a/dX90f3L/cb9w/3B/b39tv2u/aT9lv2J/X79dv1s/V39TP05/ST9C/zy/N38y/y5/Kb8lPyG/H38d/xw/Gn8ZPxi/F/8WfxQ/Ev8S/xM/Ej8QPw7/Dz8P/w+/Dr8N/w2/Db8N/w6/D/8QvxE/Ef8TvxV/Ff8V/xa/GL8afxs/G/8dvx9/IL8hvyN/Jj8o/yu/Lj8wvzL/NT83/zs/Pj9Bf0b/Tj9Uv1k/XL9hP2a/a79wf3X/e/+BP4Y/jH+Tv5q/n7+kv6r/sf+4f77/xb/N/9c/4X/rv/WAAMAOwB4ALUA8QEwAWgBjQGgAbEBvwGyAYEBQgEdAS4BiwJOA3kE2QY0B30IzAobCzgMCQyqDS0NaQ08DNgMkQx5DFwMKwwaDEgMiwyzDNINBQ0oDPQMaAvRC2MLCwqtCmsKcAqqCtwK8gsNCz4LcAuKC6EL0gwRDDIMKQwSDAIL3gt5CtQKKAmxCXMJRQkJCMcIlAhuCEQIDwfbB64HgAdTBzsHPQc4BwUGoQYxBdUFggUWBIUD7QOHA4YD6ARhBJIETQO8AyUCnAIJAV4AtAAd/4b+3/5H/ez9wP2C/Rb8qPxt/F38Tvw6/EL8a/yH/HH8OPwC+9T7mftB+tP6ZvoW+f76HfpX+ov6tfrZ+uL6s/pV+ff5t/mJ+V/5UPl1+b/5/PoY+iP6Lvoz+iz6I/oe+hj6Bfns+db5w/m8+d36Nvqp+vz7FvsU+xr7LPs3+zb7PftZ+4L7n/ud+377Yfts+6D70PvI+4v7Tvs8+0b7Rvsy+yX7LvtA+0v7Vftw+537zfvy/A78KPxD/GT8i/yw/Mn8zvzA/Kf8j/yC/IL8h/yI/Ib8ifyS/J38pPyr/Ln8yvzZ/OT87fz1/Pv9Af0I/RT9Jv1A/V79fP2W/a79yv3r/gz+LP5N/nH+lP60/tP+9v8d/0X/bP+U/8D/8QAkAFQAgACqANMA/AEhAUUBaAGOAbUB2gH9AiACQwJmAogCqgLLAuwDDwM2A14DgwOgA7QDvwPFA8cDywPSA94D7AP1A/YD8QPsA+4D9AP6A/8EBwQRBBsEJAQxBEQEXARyBIMEkwSkBLIEvQTEBMQEvgS1BLgE0QT2BREFEgUFBQAFBAUCBO8E2QTTBNsE3gTPBLoErASiBJIEewRpBGQEagRyBIoEggR5BHMEcQRyBHMEdQR5BH4EgQSBBIQEiQSRBJgEoASmBKkErQS1BMEEywTUBOAE8gUFBRcFKQU/BVQFaAV9BZUFrAXABdcF8wYMBh8GMgZMBmcGeAaDBpwGwwbnBwEHJgdsB84IKgheCGUITgg0CDEIUAiDCK8IwAi6CK4IqAifCHkIIQehBxwGqgZIBesFlwVUBR4E6AStBHcERwQVA9sDmwNOAvACjgJCAhgB+wHUAZ8BaAE0AP4AzACmAIUAXwA0AA//8//V/7f/o/+W/4D/Vf8j/vX+xf6F/j7+BP3i/c39u/2k/Yf9a/1T/Tb9APyr/E379/uT+wT6afoT+ir6gvrQ+vf6//rZ+l35kfjA+EL4NPh5+Nv5IPkW+LX4L/fG9473afc89w/29vbs9uf25vb09wz3JPc791H3UPcY9qr2MvXe9bT1mfV39Uz1HfTv9OD1H/W19mL2w/ay9nb2gPbl9zr3A/ZJ9aD1hfXJ9dj1fPU49ab2tvex+Az37ffZ+Af4OPgh98L3SfbS9lv16/Wa9XH1YPVS9UT1OfUu9Rv0//Ti9Mj0svSg9Jb0m/Sr9L30xPS79Kv0nfSR9H70YvQ/9Bzz+fPY87nznvOB81zzLfL68sjykvJY8jHyPPKD8uDzGPME8rDyR/Hz8cDxofGD8VrxKfD88NnwuvCX8G/wSPAo8BDv/e/s79Tvru957zvu+e6z7mruJe3n7aztce067Qrs3Oym7GXsI+vr67nrg+s/6u7qmepI6fvps+lw6TTpAOjS6KToduhI6Bzn7ufC55fnbOdA5xDm4ua55pPmcOZP5jbmJ+Yi5iHmH+Yd5hvmG+Yc5h3mIuYq5i3mI+YR5gDl8uXk5dnl2uXp5fzmDuYk5jnmOeYY5eLlsOWM5XHlYeVm5YPltOXs5h7mMuYe5ffl7eYc5n7nAuea6CDoWugo57znced658PoHuhv6Kfow+jN6ODpDOlF6XfpounV6hrqbOrD6x/rg+v57IXtGu2h7gzuY+6x7v3vTu+n7/bwH/Ai8C7wcvDX8SDxNvFN8ZXx8/It8jjyTvKl8zjz2fRk9Nn1S/XA9i72g/a69un3KfeA99v4Ivhb+Jj45/k7+X/5rPnO+fn6OfqI+t77N/uR++X8MfyB/N39PP2V/ev+TP6r/vD/F/8//4D/zQAVAGYA0QE4AW0BcwGIAdICJgJEAi0CJQJVAqIC4gMSA08DpQQCBFMEnATgBRoFQQVcBXYFlwW7BegGJwZ8BtkHMweNB/YIbgjeCTMJcAmmCeAKHgpfCqUK+wtoC+4MfAz1DUcNeg2tDe8ONg5sDosOnw6zDsYO3Q79DysPZg+mD+kQKxBoEJsQwxDnERMRSBFzEYERghGkEgkSmBMbE3ITrBPgFBEUOxRlFJgU0RUJFUMVhRW/FdwV2RXQFdcV7xYZFl4Wthb/FxYXARboFukXARcaFy0XPRdRF2UXcxd6F4AXjheiF7QXwRfRF+kYAxgaGDsYdhjHGR8ZdBnKGiQachqmGrYalBo1Ga8ZRBkuGWIZohnFGdwaARomGigaAxnZGcgZ0BncGd0Zzxm1GZgZghl1GWgZWBlKGUQZRRlFGUIZQxlLGVkZaBltGWEZRxkoGQsY8xjhGOMZABkvGV4ZkhnbGj0amhrTGuQa3xrUGr4anxp/GmQaQhoUGegZzhmyGWoY+BiiGLkZNhm4Gd4ZpBlTGSIZCRjkGKoYbxhCGB8X/BflF+IX4xfFF3oXIxbVFmcVgxQZEqsSBRKQE/QVeBaZF0oXsxfvGAcYCRgKGA0YChf7F+YX0Be5F50XehdQFyMW/BbdFsEWoxaDFl0WHRW9FVAU9xTAFKIUkRSKFIYUcRRAFAATxhOZE3QTVBM1ExQS6hK5EoMSRxIGEcoRkhFMEOoQgxBIEFkQnxDgEOcQpxA7D9MPkQ9sD0sPIg77DtIOkQ44DesNww2iDV4NAQzIDM8M6AzNDGkL3gtVCuQKmAp4CnIKaApICh4J/AnfCbwJlAlxCVgJOQkECLgIaAgjB+sHtweEB1QHIwbtBrsGmwaRBoMGVAYDBbIFgAVyBXcFgQWHBYMFcAVVBUMFRQVZBXIFggWABW0FTQUoBP0ExgSEBEEECQPkA84DvgOvA5sDhQNrA1ADOAMiAw4C+gLkAs4CugKqApsCiQJyAlgCPQIeAfwB2wHEAbkBsgGkAZMBggFtAUsBHgD3AOIA3ADXAM4AwQC2AKoAmwCGAGkASwAzACIADf/u/9D/wP+7/6//lP90/1j/PP8i/w7/AP7p/r/+jv5q/lb+SP46/jT+NP4v/iL+Gf4d/if+LP4r/ij+Iv4U/gP99f3s/eL91/3O/cX9uv2q/Zr9if1z/Vj9Qf0v/SD9Dfz7/O384PzS/Mj8xfzC/LX8o/yW/JP8lPyU/JT8lfyT/Ir8f/x5/Hj8ePx3/Hb8dPxz/HL8cvxw/Gr8ZPxh/GL8Yfxd/Fr8WfxX/FT8U/xS/FL8UvxW/F78Zfxp/G38dPx7/H38e/x6/ID8hvyL/I/8mPyi/Kr8rfyu/K/8sPy0/Lz8xfzN/NT82/zi/On88/0B/Q/9F/0f/Sz9P/1S/V79af12/YT9j/2Y/aT9sv29/cL9xv3N/dP91/3b/eL96P3s/e798f31/fj9+/38/fz9+f32/fL97f3m/d/92v3Y/dT9zf3E/bj9q/2e/ZT9jP2C/XX9ZP1U/UH9K/0S/Pr85fzU/MT8tPym/Jr8j/yE/Hz8d/x1/HP8bfxk/F38XPxf/F/8W/xX/Fb8WPxX/FX8U/xV/Ff8V/xV/FP8UvxT/Fj8Yvxt/HP8c/xz/Hj8fvyB/IX8jfyW/J38ofyo/LT8vvzI/NL83vzo/O389P0A/Q79Hf0w/Un9Y/13/Yf9mv2u/cD90/3p/gP+G/4u/kL+V/5s/n/+lP6s/sT+3P70/w//MP9Z/4X/rv/S//sAMgB1ALYA9AEzAW8BnAG4AdQB9AIFAfMBxAGSAXYBlAIYAxMEUwWWBs8IIwmYCwEMMQ0eDboN4g2VDS0NAw0HDOIMhwxLDG0MxQ0PDUsNnQ3mDdkNYAy3DBULfQrxCqAKqAriCwsLFQsmC1QLhwutC9cMGAxZDHUMawxZDEoMHQuxCxAKcAn+CbwJiwlVCRsI5gi0CH8ISQgTB9cHkQdTBzsHSgdVBzAG1gZsBhAFugVPBMQEMAPLA8cEJASdBNAEkwQUA5MDGAJ3AaYA1wA2/7b/N/69/mT+I/3J/Uj80fyT/H78ZvxM/FX8hvyv/KX8c/w8/An7zvuB+yX6xvp8+mf6jPrI+vT7C/sb+xb62vpl+en5kvlf+UD5QPlx+cb6E/o++lT6Z/p3+n/6fvp1+l76O/oZ+ff5zPmm+bT6Fvqm+xH7K/sT+wP7D/si+yz7M/tH+2X7f/uI+4P7gPuO+6n7t/uk+3j7VftL+0n7Pfsp+yL7MftG+1T7Yft6+6X71fv+/Bz8N/xU/HT8lvy3/NL84Pzc/Mb8rPye/J/8o/yg/Jv8m/yi/Kj8rPyy/L38zfzc/Or89vz+/QP9B/0M/RP9If03/VX9df2R/ar9xv3l/gb+KP5J/mr+iv6o/sn+7v8V/zr/Xf+B/6r/2QAKADoAZACOALgA4wELATABVQF8AaMBxwHpAgsCMAJVAnoCngK/AuADBwM0A2MDiwOnA7UDugO6A7sDvwPHA9ED3APkA+YD4wPgA+ED5wPvA/cEAQQMBBcEHgQoBDoEUwRrBH0EjQSeBLIEwATHBM0E3QT6BR4FPwVRBU0FOAUjBRoFFwUKBPAE3QTmBQMFFQUJBOgExwSwBJ8EkQSIBIgEjASOBJkElQSRBI0EiQSFBIQEhgSMBI8EjgSMBJEEmwSiBKYEqgSyBLoEwQTJBNME3gToBPUFBQUWBSYFNwVKBV0FcAWEBZsFsQXGBd4F+QYRBiEGMQZJBmEGcAZ/Bp0GygbzBxgHUQexCCAIcAiGCGwIQwgqCDEIWAiOCLoIywjDCLIIoQiHCFAH8Qd3Bv0GlwZABfIFrAVxBTsFBATMBJoEaQQyA/cDuQNuAwgClwJAAhYCAgHiAbABegFJARkA7gDMAKsAgQBWADkALgAiAAn/7f/R/63/dv84/v7+yf6N/kv+Ff33/fL9+P32/eH9v/2d/Xf9OPza/G77/vt4+tP6RPoZ+l36wvr7+wH69frP+mb5t/j/+IL4WPh4+M75LPlM+Qb4e/f79673gfdX9zT3Jvcr9zH3Nvc/9033Xvd094r3gPc19rX2OPXr9cH1l/Vo9UT1K/UL9PD1DPV39fb2JvX39c72JPbz96D3j/bB9db1bPWD9Z31cvVT9b/2tPel+Bf4Ivgu+Gj4nPiR+Ef34Pdq9uP2WvXy9bv1pvWY9Yr1e/Vq9VX1PvUj9QP05fTS9NL04vT29QT1CfUG9QD0+vTv9Nn0tfSM9Gb0RfQm9Anz8fPV86/zfvNM8xfy1fKO8mfyivLt80zzZvMt8s/yffJJ8ijyBvHe8bHxg/FZ8TPxD/Dp8MPwo/CO8H/wcfBe8EDwFu/i76TvXe8T7s3ukO5a7iPt6e2x7X7tSe0L7MfshexL7Bbr3Oua60/q/eqs6mHqGunZ6Z/pa+k76Qvo3Oiu6IHoVOgn5/rnz+ej53bnSOcd5vbm0+a15p7mkOaL5ormiuaJ5onmjOaO5o7mj+aR5o/mg+Zu5ljmROYz5inmK+Y65k7mZOZ75ofmdOZD5grl4OXG5bDlpuW15d7mDOY05lDmWOZF5ijmJuZX5rjnOufP6FDogehJ59rnkeeg5/PoVOie6MPoyejJ6OPpJOl06bHp0unw6iTqdOrP6yTrduvf7G/tE+2i7gzuZu7D7xjvVe+B76nvze/k8APwSPCl8OrxBPEd8WPxvfHv8fHx/PJM8t/zg/QT9I/1BvV+9e/2SPaH9rr29vdD94/3xffn+A74T/in+Pn5Mvld+ZL53fo4+pX67/tI+5v76vw9/Jf88P1G/aH+Cv5r/qT+tv7F/u//LP9q/7EADwBxALQA2AEHAVYBogHBAbwByAH+AkYCgQK0AvYDTQOoA/wERgSGBLkE4AUDBSoFUQV3BacF7AZFBqEG+QdZB80ITgjDCSAJbQm0CfgKMwpqCqgK+QteC9EMRgyrDPQNKw1pDboODg5KDmQOaA5pDnEOgw6gDscO9g8sD2sPtBABEEcQfhCrEN0RGhFJEVQRSBFcEbUSPRK4EwsTSxOPE9QUDRQ4FGEUixS5FPUVQxWNFbEVrxWkFaUVtBXRFgUWThaOFqUWlhaEFowWqhbMFuUW9RcDFxMXJRczFzkXPxdOF2UXfheVF6kXvRfVF/4YPxiQGOIZLhl9GdQaJxpkGn4aYhoFGX8ZFBj8GSsZZBmDGZoZwxnuGfYZ0xmkGYYZgBmLGZgZmxmLGXQZZxlmGWUZWhlNGUUZQBk3GS4ZLBkyGToZPhk9GTYZJhkVGQkZAxkCGQwZKxldGZgZ1hocGmgarBrTGtsa1RrKGrYakhpoGkEaFxnlGbsZthnEGakZPRi8GJEY5RlvGcAZtBmAGVUZNBkGGMkYkhhuGFIYMxgXGAkYChgEF90XkBcwFroV9xS5E0ASTxKPE+sVlRbLF2MXrhfuGCAYMRgrGCkYMBgwGB4YAhflF8oXrBeGF18XPBcdFvsW1xa1FpcWahYhFcgVfxVVFT0VIxUCFOAUuRSJFFYUKRP/E9UTqxOHE2cTPxMJEsgSgxJEEhER6BGvEUgQuxA+EBAQQxCnEO8Q6RCcED8P/A/MD4sPLw7VDpYOaA44DgkN5g2/DXgNHgzjDN8M6gzFDF4L2AtgCwsK2grGCroKmQpbChgJ7AndCdUJvwmeCX4JXwkvCOgIkwhFCAkH2AenB3EHOAb9BscGoQaMBnkGTgYGBbcFfQVjBWAFYwVjBVoFTAVDBUYFUAVZBVwFWgVWBUoFMQUNBOAEqwRvBDAD+QPQA7cDpwOaA4oDdQNeA0gDMwMdAwUC7wLeAs4CvwKvAp8CigJuAk8CMgIVAfQB0gG6Aa4BpgGbAY0BgQFwAVIBKwEIAO0A1AC9AKwAoQCTAH4AaABVAEEAKAATAAb/9//b/7r/pv+f/5L/df9T/zj/IP8F/uv+2P7D/qH+ev5f/lT+Tv5H/kT+RP5B/jb+K/4p/iz+KP4f/hT+B/31/eH90P3F/b79t/2y/av9nv2N/Xv9aP1R/Tf9If0Q/P786vzZ/M38wvy1/Kr8pfyg/JX8iPyA/IH8g/yE/Ib8ifyI/IH8d/xx/G78bfxu/G78bvxs/Gv8bPxt/Gr8Zvxj/GH8Xfxb/Fv8W/xZ/FT8UvxT/FP8U/xY/GL8a/xv/HP8fPyF/Ir8i/yP/Jf8nfye/KL8rPy4/L78wPzD/Mf8y/zN/NL82Pzh/On87/zz/Pj9A/0W/Sj9M/06/Ub9Wv1v/X39iP2V/aP9rP20/b/9zP3X/dv94P3m/e398P3y/ff9/f4C/gX+CP4L/g/+Ev4U/hT+Ef4O/gv+B/4A/fn99P3w/er94v3Y/c/9xf24/av9n/2U/Yj9ef1q/Vv9SP0w/RX8//zt/N/80vzF/Lb8qPyc/JP8j/yN/Ir8g/x5/HD8bvxx/HX8dfxy/HH8cvxz/HH8cPxz/Hf8ePxy/Gv8Zvxm/Gv8d/yG/I38jPyK/I38lPyX/Jv8o/yu/Lf8vPzF/NH82/zi/Ov8+f0F/Qr9Dv0Z/Sr9O/1L/V79dP2I/Zr9rf3A/dL94/34/hH+Kv5A/lD+XP5n/nb+jP6l/r7+1v7w/w3/K/9P/3n/pP/N//oANAB5ALoA9AEuAWsBnwHHAe4CGwJAAkkCMwIIAdgBxgILAsUD0QTvBhAHVwjVCmkL4w0jDf4OQQ39DaMNkg2sDYUNCwylDLENFA2CDesOYg7RDvIOqQ4WDV0MjQvJC08LPAtfC3gLeQt8C4kLkgueC80MIAxqDIEMcAxcDEsMHwvBC0EKxQpmCiMJ7wm+CYcJRgj9CLQIdgg9B/sHrQdoB0oHUQdXBzYG7gaWBkAF6AV+BP4EeAQXBAsEWgTHBPQEuwRHA9QDXAKtAb4AzAAX/53/OP7a/o7+S/3u/XT9B/zL/Kz8iPxo/G78nfzI/Mv8rPyB/Ez8Cfu++3H7Jfrk+s367Psi+0b7TvtK+zL65/pk+dX5a/kw+RX5Iflh+cb6Jfpg+n/6mPqy+sX6xvqw+ob6V/o1+hf55/mx+ar6APqW+xf7Sfs6+yD7Hfsx+0r7Xvtr+3L7dvt/+4z7nPup+6/7p/uP+3D7V/tF+zP7HvsT+xv7NPtN+177bPuG+6772/wC/B/8PPxf/IX8pPy7/M382/ze/ND8vvy2/Lr8vfy2/Kz8qPyr/K/8sfy3/MH80Pzh/PL9Af0L/Q/9E/0Y/R79KP06/VP9bv2J/aT9wP3e/f7+IP5C/mD+e/6V/rX+3P8E/yr/Tv9z/5v/yP/3ACQATQB2AKEAzQD3ASABSAFyAZoBvgHhAgQCKQJOAnMClgK4AtsDBQM2A2cDjQOkA60DrwOtA60DsgO6A8MDzAPTA9gD2QPZA9wD5QPwA/kEAgQLBBYEHQQmBDUETgRmBHkEiASaBK8EwATKBNsFAwVCBYIFpgWiBX4FUQUxBSUFIwUaBQgE/QUMBSsFPQUtBQUE2wS/BLIEqwSnBKQEoQSdBKoEqwSoBKIEnASWBJQEmASfBKEEnQSaBKAEqgSwBLAEswS9BMkE0gTYBOAE6wT4BQQFEgUhBTEFQwVWBWgFeQWMBaEFtgXKBeIF/QYTBiIGMwZKBmAGcAaDBqUG0Qb6BygHdgfqCFwIlgiJCFQIJQgWCCsIWAiNCLYIxQi4CJoIcwhBB/sHnwc3BtUGgQY5BfgFvgWJBVMFGwTmBLYEhARMBBMD1wOGAxICkgI0Ag4CAgHqAb8BjQFfATQBEAD0ANcAsACJAHUAdgByAFoANgAR/+L/of9Y/xf+4f6q/mv+MP4N/g3+IP4t/h79+f3P/Z/9WPzz/ID8B/t5+t36bPpm+r37F/s1+yj7HvsF+qn5//lD+Lz4h/if+PP5VfmA+Un4y/hL9/P3uPeF92T3Y/d695L3n/ek96f3rfe397n3kfcr9qX2PfYP9fn1zfWS9Wr1W/VH9Sj1KPVg9aD1oPVl9VP1x/am9133Yvax9dH1VPVV9X71gvV/9c/2ifde9/H4O/hy+K/42fjV+Kn4Yff492f2yvZP9gr17vXh9dX1xPWs9ZH1efVg9UD1IPUS9Rz1NPVH9U31TvVP9VD1TPU/9SL0+vTR9K/0kPRv9FD0N/Qf8/vzzvOh82vzH/LO8rDy8PNv887zyPNt8wjyzfK18prybPI18gTx3PG38ZDxaPFB8SHxCvD78O3w2/DA8JzwcvBB8AXvvu917zbvAu7R7pruYO4n7fDts+1w7Srs6eys7HDsM+vy66zrXusP6sTqgOpC6gnp1Omi6XHpP+kR6OTouOiK6F7oNOgM5+LnteeI517nO+ch5w7nAeb65vnm+ub65vvm/Ob85vrm9uby5unm2Oa/5qXmkOaA5njmfOaJ5pzmsubF5sbmpeZr5jTmE+YB5fHl7eYD5i7mV+Zv5nvmfOZx5mTmbeag5vzne+gM6IXoquhp5/rnt+fQ6Cvoj+jR6Ofo2+jU6PfpTOmv6fTqDeoY6j/qjurr6zLrZeus7Czs0+1t7eLuTu7H7zLvZ+9u73Pvje+x79vwG/Bu8K/wzfDn8SXxd/Gn8avxt/IB8onzKPO/9Er0y/VB9an2AvZM9oX2tfbn9x33Sfdl94D3tfgO+HX4yvkG+T35h/nn+k36rPsB+037mfvs/Ej8p/0G/Wr90f4k/kv+S/5K/mT+kv7D/v7/Tf+p//sAPgCDANABDAEnATgBYgGnAe0CIgJTApQC5QM+A5MD4AQeBEkEbQSXBMkE+wUqBWEFqwYEBl0GtQccB5wIJgihCP4JSgmQCc8KBgo+CogK6gtXC8AMHQxsDKsM5Q0oDXsNzg4KDiQOJw4pDjYOTw5uDo0Oqw7PDwIPSA+aD+oQLRBlEKMQ7REnETIRFxEWEV4R3RJWEqgS5xMyE4UTyhP6FB8URBRyFLQVCBVSFXYVcxVoFWkVdBWIFa8V7BYlFj0WOBYwFj4WXRZ/FpgWqRa2FsQW1BbgFuEW4hbxFxAXNRdTF2oXgBefF9MYGxhrGLAY6hkqGXgZzBoRGjkaLxnoGXIZBxjeGPUZIRlDGWAZhRmnGbEZoBmAGV4ZRBk9GUkZVxlVGUcZPhlBGUQZPBkyGSsZKBkiGR4ZIRkpGSoZIhkXGQ0ZBBkBGQkZGRknGTQZShl1Ga8Z7RooGmEakhqvGrYasRqnGpMabRo+GhEZ5RmzGYgZgxmgGaQZWhjmGKkY3BlLGZgZnRl8GV0ZQRkaGO0YxxiuGJYYeRhVGDQYJxgyGDcYDxezFzsWkBVyE/ISvhK3E/4VwxcKF48XvxgAGEgYZhhaGFAYWBhfGFAYMRgUF/sX4BfAF5wXehdbFzsXFhbvFsQWlBZeFioWBRXsFcsVlBVSFRoU8BTMFKoUhxRgFDET/RPPE6UTeBNCEwcSyhKPEloSLBHvEYQQ6xBXEBMQOxClEQERGBDuEK4QdBAsD7UPEg6ADjoOPQ5VDlIOLQ3vDaINWA0rDSMNHAzmDHUL8AuNC2MLZAtyC2sLNgrVCmMKCAncCdYJ1gnHCacJfAlICQQIsghiCCUH9wfIB44HTAcMBtQGqAaKBm8GRgYKBcQFigVoBVkFUQVGBTgFNAVBBVsFawViBUcFMQUpBSUFFATyBMQEkgRZBBwD5AO5A54DjwOCA3EDXANGAzMDIQMJAvAC3ALQAsYCuQKrApwChwJoAkUCJwINAfAB0QG4AagBnQGQAYUBegFqAVABNAEcAP4A0wCpAJIAigB4AFQALwAcABQACwAA//r/7//P/6X/iP9//3T/Vv8x/xb/A/7u/tf+x/65/qL+hf5y/m3+bf5m/ln+Tf5B/jH+Iv4Z/hL+Cf3//fX96v3Y/cL9s/2s/av9qv2k/Zj9hf1v/Vr9Rf0v/Rv9Cvz5/OX8z/y9/LL8qfyd/JH8iPyA/HX8bfxq/G38b/xy/Hb8evx6/Hb8cfxr/Gb8ZPxl/Gj8afxn/GX8Zfxm/GX8Y/xh/F38WvxZ/F38X/xd/Fn8WPxZ/Fj8V/xd/Gj8cfx1/Hn8gvyM/JP8mPyg/Kn8rfyu/LP8v/zM/NL81PzZ/OL86fzr/Ov88Pz5/QL9CP0L/Q39F/0p/Tz9Sf1R/V79c/2J/Zj9pf2y/b/9yv3S/dz95/3w/fX9+f4A/gb+CP4K/g3+E/4Y/hz+H/4i/iX+J/4p/in+Jv4j/iH+Hf4Y/hH+DP4H/gD99/3v/er94v3U/cH9sf2l/Zr9jv2A/XL9Yv1N/TT9HP0L/P387/zf/M/8v/yz/Kz8qvyo/KT8m/yS/In8hfyH/Iv8jPyL/Iz8kPyU/JP8j/yQ/Jb8l/yS/Ir8hPyC/IX8kPyd/KT8o/yf/KP8q/yv/LH8uPzE/M781fze/Ov89vz9/QT9E/0h/Sj9LP03/Un9Wv1o/Xf9iP2b/az9vf3P/eH98/4F/hn+L/5E/lT+XP5i/m/+hf6g/rj+0f7w/xH/L/9L/27/mf/J//wAOQB+AL0A8gEnAWMBnwHUAgYCOgJoAoMChwJyAkQCGAIlApgDZARaBWQGlQf0CXIK/Ax9DbYOUg5FDfgN3w3xDdMNaQ0PDSANmA43DtgPdQ/3EDQQIA/HDysOTw1gDKcMRgwgDAsL/QvvC8kLiAtdC4ML7wxRDG4MUQwpDAkL4gupC2cLJwroCq0KewpPChcJwglWCOsIlwhTCA0Hvwd9B1kHTQc/BxwG5gaoBmIGDwWsBTsExwRrBE8EgATOBOoEtQRTA/EDgQLQAdUAzwAC/3r/F/7G/on+VP4N/bH9WP0W/N/8p/yB/Ij8sfzX/OP82fy+/Ij8Ovvp+6j7cftB+yz7Qftt+4f7gvtq+z/66vpj+c/5WPkP+O34/flK+cP6OPqF+q76y/ro+v76/frb+qP6bvpO+jn6E/nh+c76CPqF+wn7W/tt+1z7UPtj+5D7ufvD+677l/uV+6f7u/vD+7v7qvuR+3P7U/sw+xH6/vsD+xv7OvtS+2T7ePuV+7375fwF/B/8Pfxn/JP8sPy9/MX80fzX/NP8yvzK/ND80fzI/Lz8tvy2/Lb8uPy//Mn81/zo/Pv9C/0V/Rv9Iv0r/TT9Pf1J/Vn9bf2D/Z39uv3X/fT+FP42/lT+a/6C/qD+xv7v/xf/P/9n/5D/vf/rABkAQgBpAJMAvwDrARYBQAFrAZMBtwHaAf0CIgJGAmgCiQKsAtIDAQM0A2MDhAOWA6ADowOjA6UDqgOyA7oDwQPJA9AD1APWA90D6gP4BAEECAQQBBoEIwQrBDgETQRmBHsEjASfBLUExQTPBOEFDQVSBZIFrQWZBWkFOQUfBR0FKAUxBS8FKgUsBTUFNgUiBQAE3wTKBMIEwAS8BLUErgSqBL4EvQS2BK0EqASlBKYEqgSxBLQEsQSuBLEEuAS8BL0EwQTLBNcE3QThBOkE9QUDBREFHgUrBTwFUAVjBXQFgwWTBaYFuQXNBeMF+wYQBiIGNgZOBmMGdQaMBrIG2wcCBzUHkggPCHgImAhuCC4ICwgTCDcIZQiRCLIIvgitCIAIPgfxB6EHUQcEBrwGewY+BgUF0AWdBWgFMAT8BMsEmQRlBDED9gObAxcCigIqAgYCAAHwAc8BqAGBAVoBOgEgAQQA3QC4AKkArgCrAJIAbABDABH/zP+A/z//Dv7b/p3+X/42/iv+Nv49/jD+EP3n/av9UPza/GD77Ptx+vf6sPrJ+yf7c/uA+3D7b/tl+w/6XPmO+Pv4y/jx+UP5ifmU+Vf49PiW+Ez4CPfH96D3p/fP9/f4CfgE9/j38Pfp9873g/cI9oz2SvZK9lb2OPX39b71ofWJ9Wr1WPVk9Xb1ZvVA9UT1o/Y69q/2tPZK9b/1bfVz9aH1uvXA9fP2f/dD9/n4efjL+QD5G/ke+Q744viB9+b3Ovay9mP2P/Yu9iL2EPXx9c71svWc9YL1Z/Vd9Wr1gfWO9Y31iPWI9Yn1hfV19Vr1N/UX9Pz03vS69Jj0gPRq9En0H/Px87fzZPMU8w3zcfQI9GP0QfPM82DzK/MY8vnyxPKJ8lryN/IV8e7xx/Gk8YrxdvFl8VLxN/EU8Ozww/CW8F/wHe/b76Tvde9D7wjuye6O7lPuEu3N7YrtTO0P7M/sjuxN7Afru+tt6yPq4eqm6m/qOuoI6dXppOl06UbpGOjr6MHomuh06EvoIOfz58jnpueP54Dndedt52vnbOds52rnaOdl517nVedK5zvnJecJ5u7m2ubO5srmz+ba5uvm/ucJ5v/m1uaa5mTmReY05inmKeZA5mbmhuaX5p/mpOan5qvmv+by50jnwehL6Lboy+iA6BTn3ugA6Fzou+jz6Pvo5ejd6Qzpcunj6ivqPeo96lzqq+sK60brV+tz69bseO0c7aHuIe6y7y7vY+9Z703vZe+S77/v9fA78HjwmPCx8ObxMPFk8XXxi/HP8kXy1PNq9AL0jfT+9Vn1rvX/9jj2UvZj9oP2svbc9vr3J/d99/L4YPis+OL5JfmD+e36Tfqa+t37JPt4+978UvzK/Tn9kP3D/c39wv3B/dn+AP4q/l7+pv8A/17/uwATAF0AjQCqANMBFwFlAaABxgHtAiYCbwLAAxMDYgOgA8kD6wQXBE4EhQS5BPQFPgWTBeoGRga4B0gH4ghqCM4JFwlRCYIJsAnsCkgKwAs8C6IL7gwpDF8MmgziDTYNiA3CDd4N5w3wDgcOKQ5MDmYOew6TDrsO9g9AD4oPyRAFEFEQshEEERkQ9RDbEQwRgBH3EkQSfBLDEx0TchOwE9wUBBQ1FHkUyBUKFSgVJxUfFSIVKxU4FVkVjxXGFeMV6RXwFgYWJBZAFlUWZRZxFnoWgBaBFn4WgxaZFsAW6hcMFycXRRduF6kX9Bg+GHkYpxjaGR8ZcRm9GfYaCBngGYMZGBjSGMgY5RkQGTYZVBllGWwZcRluGVkZMRkRGQoZFBkaGRQZERkVGRcZERkIGQYZCBkJGQwZFRkeGR8ZFxkNGQIY+Rj1GP4ZEBkeGScZNhlaGZAZyxoBGjIaXxp/Gosahxp6GmIaORoDGc4Zohl5GVwZWhlzGX4ZUhkEGNkY+Rk+GWcZYRlKGToZLRkZGQQY7RjQGK8YkRhzGFIYQRhaGIYYihhJF+EXUBZMFLgTNRLME+AVrxcaF7gX8Bg0GIEYnRiLGHwYhRiNGH8YZBhLGDMYGBf4F9UXsReOF28XURcrFvgWwhaSFnIWXhZFFhUVzhWIFVUVNhUYFPIUyBSeFHEUQRQRE+ITsxODE1MTIhLrErESeBIwEcMRNBC4EIoQthEMEUoRUREtEPwQxxB2D+4POw6hDmMOgw63DrQObQ4QDckNpg2cDZcNew0rDKMMFAvAC8IL/gw6DEsMIgvACy8KkQoUCdoJ1QnaCcQJkwlVCQ8IvwhwCDAIBAfaB6AHWgcVBtsGrwaLBmgGQAYNBdMFngV3BWAFTQU3BSQFJAVABWUFcwVYBSkFCAT/BP0E7ATKBKAEcwRABAYDzwOkA4kDeANqA1gDQgMrAxkDBwLxAtkCyAK+ArQCpgKbApMChQJpAkQCJAIMAfMB2AG/AakBlQGEAXoBcgFhAUkBNwErAQ8A2QChAIoAiwB8AE4AHQAGAAQAAP/2//D/4v+7/4P/XP9S/03/Nv8U/vz+8v7m/tb+zP7F/rf+oP6N/oj+hf52/ln+Of4g/gv9/P3w/eb93v3Y/dT9zP26/aX9lv2S/Zb9mP2Q/X79aP1S/T79Kv0V/QT89fzl/NH8vPyq/J78lPyI/Hz8cvxn/F38V/xX/Fn8W/xe/GT8afxr/Gr8aPxk/F/8W/xd/GH8Y/xh/F78Xfxd/Fz8Xfxd/Fv8WPxZ/F78Yvxh/GD8Yfxi/GH8X/xj/G/8ePx9/ID8h/yQ/Jf8nvyo/LL8t/y5/MH8z/zc/OL85vzu/Pv9BP0H/Qj9DP0V/SD9J/0r/S79Nf1D/VP9YP1r/Xn9jv2j/bP9v/3M/dn95f3v/fn+A/4K/hD+Ff4b/h7+IP4i/iX+Kv4u/jP+N/46/jv+O/47/jr+OP42/jT+Mf4s/ib+If4c/hX+DP4E/gH9+/3s/df9xf26/bL9pv2X/Yr9fP1q/VT9Pv0t/R39DPz4/OP80vzG/ML8w/zD/L78tvyt/KX8ofyg/KH8o/yj/Kf8rvy0/LT8sPyv/LP8tfyx/Kv8pvyj/KL8p/yx/Lj8t/y0/Lj8wPzF/Mj8z/za/OP86fzy/QH9D/0X/R79Kv05/UP9S/1W/Wf9dv2C/Y79n/2x/cD9zf3c/fD+BP4U/iH+Lv4+/k7+Wf5g/m3+hP6f/rX+zP7u/xX/N/9S/3H/nP/OAAMAPgB9ALoA7gEjAWABogHiAh4CWAKJAq4CxQLIAq4CfwJoApgDHwPrBOoGDQdCCIIJ5guADRYOJw5sDicN3Q3DDbUNkg2CDb0OSg8ID88QfxD4ETQRShFGEQgQbw+RDqsN4g09DMQMfwxPC/sLfAsiCz0LugwwDFMMKQvoC7ILjwuAC4ALegtdCy0LAgrcCqEKOgmvCSYIuwhoCBgHyAeHB18HRQcoBwEG2QauBncGLAXWBXoFGgTCBJAEkgSsBKsEfAQ7A/oDnALxAfkA8QAW/3n/Cf65/oP+Xf4w/fL9qv1d/Qv8wPya/KT8yfzk/O386/zY/KP8Tfv6+8b7p/uL+3v7iPuo+7r7rPuH+0/69fpz+eP5aPkS+Ob48flD+cb6Svqm+tf69fsS+yf7JfsE+s76mvp5+mT6S/or+hv6NvqD+u37TvuD+4f7fvuT+8/8B/wR++/7zfvH+9X72/vS+8P7sfua+3f7Svsc+vv68fsD+yH7PftQ+2P7f/uj+8v77/wJ/CH8Qfxu/Jr8s/y6/L/8yvzV/Nj81/zb/OL84vzb/NT80vzR/M78z/zV/N/86fz2/Qf9Ff0e/ST9L/0+/Ur9U/1b/WX9cf2C/Zr9t/3T/ez+CP4p/kj+Yv56/pj+vP7j/wz/Nv9h/4v/t//mABQAPgBkAI0AuQDlARABOQFjAYkBrAHNAfACFAI3AlcCeAKbAsYC9wMpA1IDbwOCA5ADmQOdA54DowOqA7EDugPDA80D1APaA+QD8gQBBAkEDwQXBCMELgQ0BD0ETgRoBIIEmQSvBMQE1ATbBOUFAgUxBVsFZgVQBSwFEgUMBRgFLwVEBUwFRAUzBSAFDgT9BOwE3gTWBNME0ATLBMQEvgS9BNAEygTABLkEuAS7BL0EvgTBBMQExATBBMIExgTLBM8E1QTeBOQE6ATrBPQFAQUPBR4FKwU6BUoFXQVxBYEFjgWbBasFvAXOBeEF9QYIBhwGMwZMBmMGeQaZBsEG6AcMB0MHpgghCHoIgghLCBIIBwgrCF8IiQikCLUIuwiqCHUIHwe/B2oHJwbvBrsGhQZPBhgF4gWuBXoFRgUTBOAErQR+BFEEFwO1AykCmgI5AhMCCgH9AegBzwGzAZIBcgFVATIBBADcAM4A0gDLAK4AhwBgADH/8v+v/3b/R/8V/tr+n/5z/ln+Sf47/iv+Fv3s/Zv9G/yJ/An7qftV+wv67fsZ+3H7sPu3+6z7tfu4+3H6xvny+VL5IflP+Zf5tPmN+T749vjG+Jf4U/gH99f33vgP+D/4Tvg7+B34B/f098f3avbt9of2ZfaD9qn2pPZv9iv19vXP9a/1lvWI9Xz1bPVh9XL1ovXa9f72AvXo9cT1svXD9ef1/fYH9jT2tPd5+EP42/k0+V75bflz+XT5Wfj++F/3qvca9sP2lfZ79mj2VPY19hD18/Xh9c/1ufWt9bL1wPXG9cH1ufW09bH1rPWi9ZD1e/Vn9VL1NvUS9PD01/S99Jr0bfQ58/TznfNf83z0BfSq9Pf0v/Q988vzjfNq80HzDfLb8rPykPJr8kXyIvIG8fHx3PHE8anxivFm8T/xGfDv8L3wgvBH8BPv4u+r72rvKO7q7qvuZ+4k7eftr+107TTs8uyu7GXsF+vJ64DrP+sG6tDqnepr6jvqC+nb6arpeulO6SfpAejZ6LHoiOhf6DboFegB5/Xn6+fi593n2+fZ59TnzufH57rnquea54nncudV5zrnKech5x/nIucs5zvnSOdK5zjnDObQ5pfmcuZf5lnmYOZ15pLmq+a95s/m4+b25wrnJOdR553oDeiK6ODo3uiK6CnoA+gu6Ibo2ekG6QPo5ujg6Rfph+n76kHqUOpP6nDqw+sk61jrUutO65XsLOzU7WHt5e507u3vJO8k7yrvVu+P77nv3/AS8EPwX/B18KXw7fEq8U7xcPGu8g7yh/MW87P0RPSw9QD1T/We9dP12/XT9eb2H/Zc9oT2qvb292v34/g5+HT4t/kT+Xn50foW+lP6lPrn+1b74/x5/Pb9Pf1L/Tn9Kv01/Vb9fv2n/dr+IP55/tz/RP+n//YAKgBWAJIA3wEkAUsBYAGAAbcB/QJGApIC3QMdA0wDdAOgA9UEDQRDBH4ExQUVBW0FzwZKBuAHhAgXCIYIzwj/CSIJSAmKCfUKfwsFC2gLqAvVDAYMRAyTDOwNPg15DZcNpg23DdQN+g4fDj4OVw5wDpUOyA8EDzwPag+dD/AQZhDSEPkQ1BCnEMIRKRGbEeMSDhJKEqcTCxNZE44TuRPtFC8UeRS1FNIU1RTSFNMU2BTiFP4VMhVnFYoVmxWxFdIV9BYLFhkWJRYvFjIWLBYjFiAWLhZOFnkWoRbCFuIXBhc1F3AXuBgAGD0YbBicGNoZJBlzGbsZ7BnsGa8ZTBjyGMUYzBjyGRsZMRk1GTkZThlnGWUZPhkLGOsY4RjcGNYY1RjaGN0Y2BjVGNgY3hjkGOkY8Rj5GP0Y/xkAGP0Y9BjtGO4Y9Rj8GQEZDxkvGV0Zjhm8GesaHBpHGl0aXRpLGisZ+xm8GX0ZUhlAGUUZWBlqGWUZQBkSGQQZHhk/GUUZNRkoGSUZIBkZGRUZCBjiGLIYkxiGGHcYahiAGLUYzhipGGEX+BcRFWwTlRK4E3UVOhbdF8gYNxiMGMkYzhiwGKMYsBi4GKoYlhiEGG0YSxgoGAoX6RfDF58XgRdgFzMW/hbQFq8WkhZpFjAV7xW7FZsVhBVhFS0U9hTJFKMUfBRQFCET9BPLE6QTexNJExIS2BKSEi4RuBFiEVIRfhGtEbURlxFpETkRBRDAEFsP2g9nDzIPPQ9FDwQOfw4BDckN0g3pDeMNrw1GDLEMIQvcDAMMagzHDPIM7gy5DD0LewqtCiYKAQoNCgkJ3wmbCUkI6wiICDcIAQfYB6IHXAcWBt0GsQaLBmUGPgYSBeEFswWNBXEFVwU5BR4FGAUvBVAFVgU1BQME5ATbBNIEtwSSBG8ETgQlA/MDwgOaA34DagNZA0YDLwMYAwQC8gLfAswCvQKyAqICkQKJAooChQJuAkoCKQIRAfoB4wHLAbEBlQF/AXYBcQFhAUkBPAE3AR0A4QCoAJoArQCtAIMATwAzACUADP/s/9b/xP+d/2T/Of8u/zD/Iv8I/vX+7f7k/tf+0P7N/sP+rf6Y/o3+g/5q/kD+Fv33/eT92P3P/cn9xf3D/cD9tf2h/Yj9dv1y/Xb9eP1w/WD9Tv0+/S79Gf0C/O383fzN/L38rPyd/JD8g/x4/G78Y/xX/E38SPxJ/En8SPxM/FL8V/xZ/Fr8XPxb/Ff8VPxW/Fv8XPxa/Ff8VvxV/Fb8Wfxc/F38WvxZ/F38YPxh/GH8Zfxp/Gn8afxu/Hj8gfyG/In8jvyT/Jj8oPyr/Lf8vvzD/M382vzm/O789Pz+/Qr9FP0a/R/9J/0w/Tv9Rf1N/VT9W/1m/XL9f/2L/Zn9qv28/cz92P3k/fD9/v4K/hX+Hf4k/iv+Mv42/jj+OP47/j/+RP5H/kr+Tv5Q/k/+Tf5L/kr+SP5G/kT+Qv48/jX+Mf4u/in+H/4V/hH+Df4C/fD94P3W/c39wP2v/aH9k/2C/W79W/1M/Tz9J/0P/Pj85fzZ/Nf82vzd/Nj80PzI/ML8vfy7/Lv8vfzA/MP8yvzQ/ND8zPzM/M/8z/zL/Mf8xfzC/L38vPzB/Mn8y/zJ/Mz80/za/N785fzu/Pb8+v0C/RH9Iv0u/TX9QP1O/Vv9Z/10/YL9jf2W/aL9s/3F/dL93f3q/fv+D/4g/in+L/45/kj+Vf5f/m3+hf6f/rT+yP7n/xH/Ov9b/3//rP/fABEARAB7ALIA6AEfAV4BowHpAi0CbgKmAtEC8wMJAwgC6wLFAsAC/wOWBIQFqAbOB+IJFwqnDHAN5g6JDmAN6Q2YDY8NuA3+Dl8O5A+TEFoRBRFqEZoRzhIgEl4SRhHFEO4P2w6uDakM/wyVDCMLlws4C0wLuAwZDCwL+wu0C3gLWwtmC4oLpAuXC28LSAskCucKdgniCVEI4QiHCC4H1QeOB2MHRgclBwAG3Aa3BoIGPAXyBaoFXgUPBM0EoQSBBF0ENwQcA/4DqgL9AgsBDwA6/5f/H/7L/pX+bv5I/hn93f2N/S/83/y8/Mn85Pzv/On83vzH/JL8Q/v/+9/71vvM+8H7xfvX++H70fup+2v7DfqP+gb5j/k4+Qj5DflU+c/6UPqw+uf7B/si+zb7OPsj+vz60vqu+pP6gfp5+nf6fPqT+s37Ivtq+4T7hPub+9n8Ffwi/Av7+/wF/Az7+vvX+737rfuW+277O/sP+vX69PsI+yT7OvtL+2H7g/uq+8/77/wK/Cf8TPx3/Jz8sPy1/Lz8y/zb/OP86Pzu/PP88/zx/PT8+fz5/PX89Pz6/QH9Bv0N/Rn9I/0p/S/9PP1N/Vn9Yf1o/XD9ev2I/Z/9u/3V/ez+Bf4k/kT+Yf59/p3+wP7l/w3/N/9i/4z/tf/iABAAOQBfAIcAswDeAQcBLgFWAXwBngG/AeACBAInAkcCaAKNAroC6gMWAzkDUwNqA34DjAOTA5UDmQOgA6cDsAO9A8sD1wPhA+wD+QQEBAsEEQQcBCsENwQ9BEQEVARuBIwEpwS/BNUE5ATqBPAE/gUVBSYFJQUXBQwFDAUXBSUFNQVEBUwFQwUpBQoE8wTqBOkE6wTqBOYE4QTcBNcE1ATSBOIE2QTSBM8E0wTYBNcE0gTPBNEE0wTTBNIE1gTdBOUE6wTwBPME9gT7BQQFDwUaBSgFOAVJBVoFbAV+BY4FmwWmBbIFwQXPBd0F6QX4BgwGJQZBBl4GfwaoBtQG+AcaB1QHtwgoCG0IZwgwCAYIEQhMCI0ItAi8CLkItwimCHEIFweyB18HJAb1BsUGkgZfBioF9AW/BY0FXAUrBPcEwwSWBG4EOAPaA1UCzgJuAj8CKQIXAgkB/gHsAc8BrgGKAV8BKwEBAPEA7wDeALkAjgBrAEYAF//l/7b/h/9P/xL+3v60/ov+X/46/iT+Ev3h/XP80vwu+7j7d/tQ+zL7LftT+477svuz+637wPvY+7z7QvqF+df5ifmg+dT51PmN+TL4+Pjh+ML4g/gz9/33/Pgo+Ff4YfhB+BX39/fg97H3W/b19qn2jvag9sT23PbO9pr2WPYh9f/16PXN9a31k/WN9Zf1ofWf9Zv1pvXA9dv18fYH9h/2MvZI9on3Fffa+J/5NfmO+bL5tfmw+bL5pfle+Mz4GPeA9yD26PbA9qL2i/Zz9lX2PPYs9h72DPX69fP19/X69ff17fXj9d312fXX9dL1yfW89ar1kfVy9VL1MfUN9OH0sfR19CXz0vO09AP0rfVL9Xn1KvSm9Dbz7vO584jzWfMx8wzy5PK78pTyd/Jh8k7yN/IZ8frx3fG/8Z/xfPFW8Snw8fC28HzwRfAK78rviu9K7wbuwO6A7kjuFO3c7Z3tWu0T7Mbsd+wq6+HroOtk6zDrAOrR6qPqdepG6hTp4+m56ZTpbelC6Rno8+jQ6Kzojeh56G3oYuhX6E/oSOhB6DnoMOgk6BDn+efn59jnxOep55Dnged553XndOd754fnjeeF52vnQOcI5s3moOaM5pDmpOa95tXm6+cE5ybnTudz547no+fC6ADoY+jO6Qjo6uiO6DroKOhY6Kro9Oka6RDo7Ojh6Rrpiun56jjqSupU6oDq2Os462nrW+tK63/sCOyr7TTtpu4X7nburu7P7wfvXe+m78jv1u/u8AvwHfAx8GLwsPD48SnxVPGO8d3yQvLG82Lz9PRd9KX06vUy9WL1ZvVa9Wz1p/Xp9hP2NvZ29uH3VPex9/r4TPiu+Q35WfmZ+df6GPpi+sv7YPwL/JX80vzJ/Kn8nvy2/OL9Dv05/W39sv4F/mL+xf8r/4f/0AARAFUAmADHANsA6gEPAVABmgHgAiICYwKjAtoDCgM6A24DpgPhBCAEZgS1BQ8FdwXwBn0HFgemCBgIYwiPCK4I2AknCaMKOQrBCx8LVguAC7EL8gxDDJwM7Q0pDUwNZA1+DZ8Nxg3vDhYOOg5dDoYOug7wDxsPNA9SD5gQDxCHELwQnxBuEH0Q2xFIEYoRqhHaEjMSmxLvEycTVBOIE8sUFBRRFHMUfBR8FH0UgRSLFKcU1hUHFSwVRxVqFZcVvRXOFdIV1RXaFdkV0RXIFcsV4RYIFjMWWRZ7Fp4Wxhb1Fy4Xcxe+GAQYPxhzGKkY5hktGX0ZyBnwGd8ZnBlIGQcY7hj2GQsZFhkTGRcZNBlaGWkZTxkdGO4YyxivGJoYjxiNGIwYihiMGJQYnhinGK4YtRi7GMAYyRjUGNoY2RjYGNoY3BjdGOEY8BkLGS4ZUBl2GaIZ1hoHGiMaIhoIGeAZrBltGTEZERkcGUUZaxlyGVUZKhkTGR8ZOxlHGTwZLhkuGSwZHRkRGRUZFhjzGLsYmRiWGI8YeBhwGIkYmxiLGG8YQBeNFfQT7RKtEwsUqRZ0F7gYdxjpGRMY9hjKGMMY2RjeGMwYvRi3GKIYehhVGEAYKxgEF9YXrxeOF2cXOhcPFugWvhaLFlMWHxX4FdwVvxWVFV8VKBT+FNsUtRSHFFcUKxQHE+cTwhOUE2QTNxMBErQSWhIcEhMSJxIoEgUR1RGpEX0RShEUEN8QoxBhEC4QDQ/RD0wOkA31Db4N1g3xDd0Nlw0oDJwMGgvlDBsMjAzpDRgNMA02DPkMVgt+CtgKnQqoCrMKlQpPCecJYAjOCFQIBgfSB5oHVQcQBtkGrgaJBmQGPwYZBfAFxwWjBYYFaAVEBR4FCgUTBSYFJgUIBOMEzgTEBK0EgwRYBD0EKgQNA+MDuQOXA3wDZANOAzkDIgMLAvcC6QLaAswCvwKwApsChgJ9AoECgQJuAk4CMQIZAgMB7gHaAcIBpAGLAYABewFrAVMBRQFAASYA6wC4ALgA3wDyANcArACNAGwAMf/p/7r/pv+O/2X/Pv8w/y//Jf8R/v/+8/7k/tT+y/7J/sD+qv6T/oD+bf5N/iP9/v3m/dj9z/3I/cb9x/3F/bz9qv2Q/XX9YP1W/VX9Vv1R/UX9OP0t/R/9Cfzu/NX8wvyz/Kf8m/yP/IP8dvxs/GX8W/xN/EL8P/w//D78Pfw//EX8SPxI/Er8TvxQ/E/8TvxR/FX8VPxS/FH8UfxR/FP8WPxe/GD8Xfxa/Fv8Xfxd/F/8ZPxr/G/8c/x5/IL8i/yQ/JT8l/yY/Jz8pPyw/Lz8xvzO/Nf84vzs/PT8/f0G/Q/9GP0i/S39OP1C/U39Wv1o/XT9f/2J/ZT9oP2t/br9xv3U/eP98v3+/gr+Fv4i/i3+Nf49/kX+TP5R/lH+Uv5V/lr+Xv5g/mL+Y/5j/mH+X/5d/lv+WP5W/lT+Uf5L/kX+Qf5A/jz+Mv4m/iD+Hf4W/gn9/P3y/ef92P3G/bf9qP2V/YH9cP1j/VT9P/0m/Q/8/vzz/PH89Pz2/PL86fzj/N/83PzZ/Nr83vzi/OX85/zp/Of85fzm/Oj85/zg/N383vzd/Nf80vzW/N784/zh/OL85/zu/PP8+f0A/Qb9Cv0R/SD9Mv0//Un9VP1g/W79ff2L/Zj9oP2m/bH9wP3R/eD96/31/gL+Ev4i/i3+M/48/kn+Vv5h/m7+hf6f/rX+yf7l/w3/N/9e/4f/uf/tAB0ASwB7AK4A4wEbAVsBoAHnAi4CdgK3AuoDEgMzA0kDSAMtAwgDBQNTBBIFKwZbB3YInAoRC9YNfQ5+DqkOSg3hDcgOCQ5zDtUPNA+1EGERAxFhEY4R0BJQEuETOxMuEqIRkRAjDrgNqQz6DHML/gu8C8ML7Qv9C+ALsAuFC2ULVgtlC4gLnguQC2oLQwsbCtgKaAnbCVYI7giaCEMH5webB2sHTwczBxIG8QbIBo4GRgYABcMFhgVDBP0EuARwBDAEDQQKA/gDmQLaAekBBABK/7f/Rf7x/rT+gP5Q/iT98/2u/Vj9Dfzp/Oz8+Pzz/N78w/yh/G78NPwO/Aj8EvwU/Ar8A/wF/AT78vvK+4j7KPqr+ir5vflv+UT5Qvly+dH6Qvqg+t37APsX+yf7K/sg+wv67/rQ+rX6q/q3+sT6vvqt+rf67vs0+1z7avuH+8D79fwI/Av8IvxD/EP8E/vU+6z7mft++1L7JPsD+vX69/sI+yD7OPtO+2r7jPuu+8z76fwL/DL8XPyC/J/8sPy7/Mf82Pzo/PT8/v0G/Qj9Bf0F/Q79GP0a/Rf9F/0e/SP9I/0l/Sz9Mv02/Tv9SP1X/WH9Z/1v/Xv9iP2W/ar9xP3e/fX+Df4q/kf+Zf6D/qX+yf7s/xL/O/9l/4z/s//cAAcAMABWAH4AqgDUAPoBHwFGAW0BkgGzAdQB9gIYAjkCWwKBAq0C2QL/Ax4DOgNVA24DfgOFA4wDlAOcA6IDqQO1A8YD1gPkA/AD+wQCBAYEDgQeBDAEPwRJBFQEZQR8BJYEsATIBNwE6gTyBPkFBQUSBRgFFgURBRYFJAUwBTIFMAUxBTMFLQUbBQUE9wT3BP4FAwUBBPoE8wTvBO0E6wTnBPQE7wTrBOwE7wTxBO0E5gTgBOEE5ATlBOYE6QTxBPoE/gUABQEFBgUNBRQFGQUhBS4FQQVUBWYFeQWMBZ0FqgW0Bb4FyQXTBdgF3AXlBfgGFAY1BloGiQa8BucHBwcqB2kHyQgpCFwIVAgsCBQIKwhsCLII2AjWCMIIsgieCG0IGAe4B2sHNAcEBtEGnAZrBjoGBgXRBZ8FcAVBBQ4E2QSrBIUEVAQDA5EDGgK9AoICWwI/AjICLAIfAgIB3AG1AYcBVQEvAR4BEADvALwAjQBuAFcAPQAe//j/xP+C/0H/EP7n/rL+b/41/hT9+f26/Tz8mPwF+6/7kvuL+4T7gPuF+4v7h/t7+3z7m/vS+/b7zvtF+pD6Dfns+gH59vmv+Vb5HPj/+Nv4nvhU+Bz4D/gr+FL4Wfg0+AH34PfJ96H3Yvcj9vD2wfaf9qT21PcE9v72wfZ69lH2O/Yd9fD1x/Wx9av1pfWd9Z71sfXR9fH2DPYl9j72WvaG9t73bvgh+ND5XvnB+ev53/m++bP5vPmg+S/4gPfd93L3MvcB9tb2ufan9pX2gfZx9mX2VPZA9jP2M/Y49jj2MfYm9h72HPYe9h/2G/YO9fr14/XJ9an1fvVK9Rf05/Sp9FP0C/QY9KD1ZPXr9en1fPT49JL0SfQP893ztfOP82TzNvMM8unyz/K78qnykPJx8lLyO/Im8gzx7fHJ8Z3xZvEl8OLwo/Bo8C/v9u+373HvKu7q7rPufu5E7gTtwO127Sjs2+yR7EnsA+vF65LrZes36wvq4Oq06oTqVOor6gbp3umx6YfpZelG6SfpCuj16Obo2OjK6L7os+im6JnojOh86GPoSOg26CvoG+gD5+zn3ufW58znxefF58vnyOe255jncedA5wjm2ubI5tfm++ch50DnW+eA57Ln6ugX6C7oMug96GvowukZ6TTo+uiU6EvoROh26MLpDOk16Sno/ujs6SLpjeny6ivqQupd6pfq8OtK63frbutf64/sDuyo7Sbtf+3F7gDuNu5+7u7va+++79PvzO/N79fv3+/08C7wgvDP8QXxM/Fr8bDyCPJ/8xHzn/QG9Ev0hvTE9PD0//UB9Rf1R/V69Z31v/X/9l/2yvcr94r38/hd+LL49Pk1+YH5yfoJ+l365fuO/Bn8U/xE/CL8H/xB/HP8ofzM/QD9Rf2V/er+Rv6r/xb/ef/NAA8APwBZAGUAeQCmAOwBOgF/AbsB9AItAmcCnQLPAwMDPwOBA8cEDwReBLoFJAWZBhgGnwciB5AH3wgSCDsIdQjYCWYKBAqHCtwLEAs+C3cLuwwHDFcMowzfDQgNJw1JDXANmQ3HDfYOIw5NDnwOtg70DyEPLw80D1sPthAhEFwQUBAvEEIQmBD9EToRUxF4EcMSIBJuEqUS1hMPE1QTnhPcFAIUERQVFBwUKBQ6FFYUfxSrFNIU+BUmFVkVfhWIFX4VdBVyFXMVchVxFXsVkxW4FeMWDxY3Fl4WhRazFu4XNheEF84YDhhHGHkYqxjlGTIZiRnPGewZ2xmrGXIZQRkgGQ4ZARj4GP0ZGBk+GVQZTRkvGQcY2xiuGIYYahhXGEoYRBhGGE0YVRhdGGkYdRh9GIQYjhiZGKIYqhi2GMIYxxjEGMYY0xjoGP0ZFhk5GWgZmRnBGdMZxhmiGXQZRxkdGPsY9RkXGU8ZchliGS8ZBxkJGSwZSBlGGTMZLRkxGSEY9BjUGNsY7hjaGKQYfBhzGGUYORgMF/4YAhgGGBwYLBe6FlUUYBMBExkUdRYsF5AYgxkVGT0ZERjgGOQZAhkEGOoY3BjeGNEYqRiCGHIYZRhCGA0X3Be0F44XZBc9FxYW7Ba+Fo8WYhY2FgsV4hW5FY8VZRU/FRgU6hS2FIMUWhQ6FB4T+hPOE6ITfRNYEyES3BKkEooSehJZEicR/RHjEcQRkhFgEUERKxEGENYQoRBPD7sO8w5GDfYN9A34DdQNiQ0gDJ8MIAveC/kMTAyTDLkM2gz+DPoMowwWC6YLfwuKC5MLeAsvCq8J+gk0CJAIJQffB5sHUAcIBtAGpgaCBmAGPgYcBfcF0QWtBY0FbQVHBR4FAQT7BQIE/wTqBNIExgS4BJQEXQQwBBwEEAP3A9IDrgOSA3kDXwNHAzADFwMAAvAC5wLeAtICxQK0Ap4CiAJ9AnwCeAJmAk8COwIoAhIB/AHsAdoBvwGkAZUBjQF7AWABTgFEASgA8QDGANEBAAEaAQkA6wDYALYAaQAG/8L/rf+o/5L/cf9W/0b/N/8m/xf/Bf7w/tz+1P7R/sb+rv6R/nX+V/40/hP9/v3z/ej92v3Q/c790f3N/bz9o/2I/W39Vv1F/Tz9Ov02/Sv9Hv0R/QL87vzV/L78rPyd/JD8hPx6/G78ZPxe/Fr8UvxE/Dn8N/w5/Dr8Ofw7/D78P/w+/D/8RPxI/En8SvxN/E/8TPxK/Ez8T/xQ/FH8V/xe/GH8Xvxc/Fz8Xfxd/F/8Zfxs/HP8e/yC/Ir8kvyY/J78oPyg/KP8rPy4/MT8zvzY/OH86fzy/Pz9Bv0M/RD9GP0l/TP9P/1J/VX9ZP12/Yj9l/2k/bD9vv3M/dn94v3t/f3+Df4b/iX+Lv45/kT+TP5T/lr+Yv5n/mn+av5t/nH+df54/nn+eP51/nP+cf5w/m/+bf5q/mf+Y/5e/lj+Vf5T/k/+Rv46/jL+Lf4n/hz+EP4E/fj96v3b/c39vP2m/ZD9gP12/Wn9Vf09/Sr9Hf0V/RH9Ef0O/Qj9Afz+/P78/fz6/Pr8//0F/Qj9CP0G/QL9AP0A/QL8//z4/PT89vz3/PP87vzw/Pj8/fz7/Pr8/f0D/Qf9C/0P/RT9Gf0i/S/9Pv1M/Vj9ZP1w/X39jP2b/af9r/21/b79y/3a/en99/4A/gf+EP4f/i7+Of5D/lD+Xf5p/nb+iv6j/rz+1f7y/xb/Pf9h/4r/u//wACIAUAB/ALEA5gEfAV4BogHnAi4CeAK/AvsDKQNTA3kDkwORA20DPwNAA6sEjgW9BvsINgmOCxoMsw4BDrYOzA6ODmEOfg7ODxsPXQ+/EFYQ8RFTEYERuxIrErkTMBNmEzISdRFAD+UOtw3UDSwMvAyFDGUMKgvGC2gLPgtDC1QLXgtqC3cLeAtiCz4LFgrmCp0KMgmxCTUI1AiKCEEH8gerB3kHWQc/ByUHCgbkBqgGXAYSBdMFlgVXBRUEzAR3BCgEAAP5A9YDVwKDAZkA1wBD/8v/Zv8W/tT+lf5c/jH+DP3X/Y39Rf0Z/Qv9CPz9/OP8vvyQ/GL8QPw3/Ef8W/xh/Fb8RPw0/CP8B/vY+5P7M/q/+kz57vms+YT5dfmI+cb6I/qC+sr68/sG+wz7Cfr++u/64PrP+sP6x/rf+vT66/rI+rT6zvsE+zP7VfuB+7v76Pv9/BX8R/xz/Gb8GfvB+4z7cvtU+yn7Bvr3+vX6+fsH+yH7QPte+337nPu4+9D77vwW/ET8b/yQ/Kv8wPzR/OD87fz6/Qj9F/0h/SD9GP0V/Rv9I/0m/Sb9LP00/Tj9NP0z/Tf9PP0//UX9Uf1e/Wb9bP13/Yj9l/2m/bj9zv3n/f/+GP40/k7+af6H/qn+zP7u/xP/O/9k/4n/rf/U//0AJQBMAHUAoQDJAO4BEQE4AWEBhwGpAcoB6wIMAisCTAJyAp0CxwLqAwkDKANIA2MDcwN+A4sDmwOlA6gDqQOxA78D0APiA/ED+wQABAUEEAQkBDkETARdBGwEewSKBJsEsATGBNgE4wTsBPcFCAUXBR8FHwUfBScFMQUzBSoFHQUXBRgFFwURBQoFCAUNBRQFFwUSBQoFBAUDBQMFAAT7BQcFBQUEBQQFAwUCBQAE+wT3BPYE+AT6BPwFAAUHBQ0FEAUQBRIFFwUcBR8FIgUoBTYFSQVeBXIFhgWaBasFtwW+BccF0AXVBdQF0QXYBe4GDwY1BmIGmAbPBvgHFAc8B4IH2wgnCE0IUghMCE8IaQidCNkI/Qj2CNYItgiXCGUIFQe8B3QHPgcNBtgGpQZ3BksGGgXmBbIFggVUBSQE8gTEBJoEbAQoA8sDZgMRAtACnAJ2AmECWAJHAiYB/AHTAasBhAFlAVABNAECAMQAkgB4AGwAYgBRADH/+v+0/3P/Qv8S/s7+ef4s/fj9yf16/QD8evwY++776/vv++n71vu0+4j7YPtN+1f7gPvK/CH8SPwA+1X6pfpF+jH6Ifnq+Z/5Yfkw+Pz4vvh++En4MPg7+Fj4Xfg4+AT34ffJ96X3fvdk90T2+PaV9mz2rvcd9073HvbI9o32c/ZY9i/2A/Xh9cr1wfXI9dz18PX89gT2F/Y49mH2j/bN9yv3qPg2+Mb5VvnS+hD5+Pm3+Z35wPnX+Yr43vgq97T3dPdC9w325vbV9sv2u/ar9p/2kvaC9nb2d/aA9oX2gPZ49nP2c/Zz9nH2a/Zb9kP2KvYR9fH1vvV/9Uf1GPTZ9IH0SPSE9UL2GfaC9k71w/U89N70mvRk9Dv0GPPs87fzh/Nk80rzMfMb8wjy8vLV8rnypfKV8n7yYPI88hDx1/GS8UnxBvDN8JrwZfAp7+Pvne9d7yPu6O6p7mjuI+3a7Y3tQ+z87LLsaOwm6/LrxuuZ623rRese6vLqxOqc6njqUOoj6fvp2um96Z/phOlu6VvpSOk46SvpHukK6Pbo5ejT6LjonOiK6H/oceha6EboO+gz6CXoFegN6Ann/efk58Xnped950znIecR5yfnV+eM57zn5+ga6FnomejG6NDovuix6NHpHull6WTpEOie6FfoVOiE6M/pHelP6UnpG+kG6TnpoOn96i/qSepw6rTrDOtb64Lrfut466zsKOzA7Tjtfu2g7brt6u5N7t/vau+378Dvsu+s76/vte/S8Bbwa/Cx8ODxDvFJ8Y3x2vI/8r/zQfOm8+z0JPRZ9IX0oPSz9Mr06PUG9SH1TPWT9fL2V/a89yz3pfgP+Fj4j/jY+Tf5jfnK+g76f/sV+5H7w/u3+577o/vI+/r8KPxR/IP8yf0g/Xv92P4//rX/K/+N/83/7wABABEAJwBOAIcAzAERAVABhgG6AfACJgJZAo0CyQMOA1gDogPuBEgEsgUoBaUGJgajBxIHawexB/EIQQi2CU4J6QpgCqoK3QsXC1wLoQvlDCsMcgyuDNcM9w0YDUANbw2lDd4OEQ46DmgOqA70Dy0PPA8wDzIPYA+qD+EP7g/sEAwQXBCyEOUQ+REWEVERnBHeEhYSTxKREtkTHhNZE4ETlROhE7ITzBPpFAYUKhRUFIEUshToFRwVPxVDFTAVHRUVFRgVHRUjFS4VQhViFY0VwRXyFhkWPRZtFrEXABdKF4kXwxgBGDsYbhiiGOYZOhmLGcMZ3BnbGcIZlRlbGSQY+BjfGN0Y8hkSGSsZNhkyGSAZARjZGK4YhxhkGEcYNxgyGC4YJxglGC0YOxhHGFIYXhhqGHQYgRiVGKcYrBimGKUYrxi7GMYY2xkDGTcZYxl6GXcZXBkxGQYY6hjeGN8Y9xkpGV0ZaRk9GP8Y4xj+GS0ZQhkxGRcZERkLGOIYmRhkGGsYihiEGFIYJxgeGBMX5RepF4MXeheJF7kX6helFocU5xPAE88U4xY/F2MYRhjoGSoZExjyGQQZLBkwGRAY/BkAGPkY1hivGJsYihhnGDQYAxfZF64XghdbFzoXFxbyFssWoBZsFjYWBxXjFcMVnxV4FUsVGRTmFLcUkRRzFFcUNBQGE9YTrROJE14TJRLsEr8SmhJuEkISJRIVEfkRxhGREXIRXxFBERcQ7hC6EFEPrA8CDpMOag5ZDjMN6g19DOkMQwu/C4kLmgvIC/gMKQxWDGMMRwwhDBIMHAwiDBML6wufCxYKTAlzCMUIVAgBB6wHVAcHBswGoAZ7BlkGOQYXBfMFzAWkBX8FXgU9BRoE/gTyBPEE7ATaBMcEugSnBH0ERAQaBAgD/QPjA70DnAOEA24DVwNBAyoDEAL4AuoC5QLfAtMCxQK3AqUCkQKCAnoCcAJfAlACSAI9AiUCDAH8Ae8B2AG9AasBnwGJAWkBUQFBASQA8QDMANUA+gEHAPIA4ADjANsAogBIAAT/7//x/+L/u/+L/2T/Sv89/zP/Iv8L/vr+9P7v/t/+wf6e/nr+U/4u/hf+D/4K/fz95v3V/dL90/3M/bf9m/2B/Wn9T/02/Sb9H/0a/Q38+/zo/Nn8yPy4/Kj8mfyJ/Hj8aPxd/FT8TfxK/Ej8Qvw4/DH8Mfw0/Df8OPw5/Dr8Ofw4/Dv8QfxF/Ef8SPxK/En8RPxD/Ef8TfxQ/FD8VPxZ/F38Xvxf/GD8Yvxk/Gj8bfxy/Hj8gPyI/I78k/yb/KL8p/yo/K38t/zC/Mv81fzg/Or88vz8/Qn9FP0Y/Rn9IP0t/Tv9Rf1O/Vr9af18/Y/9ov2y/cH90v3l/fP9/f4H/hb+KP41/j7+Rf5O/ln+Yf5n/m7+c/54/nv+ff6A/oL+hv6K/oz+iv6H/oX+hP6E/oT+gv6B/n7+ev51/nD+a/5n/mL+Wf5P/kb+Pv41/in+G/4O/gP9+P3s/d79zP20/Z79kP2I/X/9bf1Y/Uf9Pf02/TD9Kv0i/Rj9Ev0U/Rn9G/0Y/Rf9Gv0g/SX9J/0m/SL9HP0a/Rv9Gf0U/Q/9EP0S/RD9DP0N/RL9FP0R/RD9E/0Y/Rv9HP0f/SP9Kf0y/T39Sf1V/WL9cP19/Yn9lv2k/bD9uf3C/cz91/3j/fH9//4J/g7+E/4h/jL+QP5K/lb+Zv52/oX+lv6t/sf+5f8H/yz/T/9w/5T/wf/zACQAVACGALsA8QErAWoBrgH0AjoCggLKAwwDRAN2A6UDzwPnA9sDqwN6A4cECwUKBlQHqQjtCi8Ljw0FDkoPBw8rDwIO7w8WD1sPqRATEKERKxGCEacRyBIEElESmxLREtcSixHrERYQKg85DloNtQ1NDOUMRAt+CusKxArqCyALQQtPC1ELQwspCwcK3wqqCmAJ/gmJCREIrQhmCC4H9ge7B4kHYgdDBy4HIAcIBtQGiAY4BewFowVbBRkE0wSABCsD8gPPA4oC7wIWAUYArAA8/9j/fv8z/vL+tf6A/lv+O/4L/cb9fv1K/TH9Kf0k/RL86/y3/In8dPx5/I38nvyh/JH8dvxW/DT8CPvN+4D7KPrL+nH6I/nm+bj5mfmU+bf6B/pq+r/67/r9+vn67frc+sz6wfq/+sb62fr2+wz7B/ro+tD62Pr9+yz7YPug+978AvwP/Cn8X/yH/Gj8Bfub+1v7Pfsg+v366frq+vT6/vsQ+y37Tvtv+437q/vH++D8APwr/Fr8gvyg/Lz82Pzv/Pz9Av0K/Rr9LP03/TT9Kf0h/SD9I/0l/Sr9NP09/T79Of02/Tn9Pv1C/Un9Vf1h/Wn9cv1//ZL9ov2x/cD91P3q/gH+HP45/lP+bf6J/qn+y/7t/xH/Of9h/4X/p//M//QAHABEAG4AmADAAOUBCQEuAVUBewGeAcAB4gIBAh0CPQJiAo0CtwLbAvoDHQNAA10DcAOAA5QDqAOzA7IDrgOxA70DzwPiA/QEAAQHBA4EHQQzBEkEXgRyBIMEjQSRBJkEqgS/BM8E1gTdBOsFAAUUBR8FIwUkBScFKAUiBRYFDgUNBRAFEAUOBQ0FEgUZBR8FIAUdBRgFFQUUBRUFEwUNBRkFGQUZBRcFEwUSBRMFFAURBQ4FDQUPBRMFFwUcBSAFIgUkBSYFKAUqBSsFLwU4BUYFWAVsBYEFlQWnBbMFugXABcgF0QXUBdAFzgXbBfoGIQZHBnIGpwbeBwYHJgdXB6QH9AgrCEcIYwiMCLYI1QjyCRIJJgkYCO0IvwiTCFsIDQe3B3EHPAcNBtwGrAaCBlkGLQX8BckFlgVoBTwFDwThBLUEhgRJA/kDpANZAxsC5gK4ApkChAJrAkQCFgHuAc8BtAGbAYABWQEiAOQAswCYAIwAhgB6AF0AKv/q/7D/ff9E/vX+lf45/e39ov1C/NL8cPw8/Db8P/xA/DD8EPvb+5n7Z/tY+2j7i/vK/Cv8fvxv++T7KPqh+mj6Tfom+fD5ufl9+Tn49vi8+Iv4bPhs+ID4gPha+Cj4Bffo98P3p/em95L3L/aY9kr2k/cr94T3YPb/9rP2kPZ79mD2QfYd9fj14/Xq9gT2F/Ya9iD2PfZx9q326/cw94H32/g7+K/5Q/nb+jL6HPnK+aX51PoJ+dP5KPhn9+r3sPeC90j3F/cC9vr27vbh9tn20vbF9rn2uvbH9tH20fbM9sz2zPbJ9sL2uvap9oz2avZO9jD1/vW89YD1TfUH9K/0ivTu9dD2rfb59qT2C/WH9Sv05PSv9I70cPQ/9ATz1/PB86/zlfN882rzV/M98yLzEPMB8uryyvKl8nryQ/H+8bbxdPE58QPwzfCS8FDwDe/O74/vTe8K7sjuhu4/7fXtre1m7RnsyeyC7ErsHevw68brouuA61jrLesH6uXqv+qV6m7qTuox6hTp+enj6c3ptumj6Zbphulu6VTpP+kt6RTo+Ojk6Nfoxeit6JrokuiM6HvoZuhV6EboMugW5/nn3ee855Pnb+di53Tno+fh6CPoY+il6OzpLulY6VfpNOkY6S3pcump6ZLpJ+io6F/oYOiV6OPpNult6WnpPuks6WLpxuob6kXqXuqI6tDrJetp64frguuC677sQuze7Vbtju2V7Zjtxe407srvSe+E74jvge+F74zvme/B8AvwW/CR8LXw5PEm8W7xs/IF8m3y2/M784TzvvPy9B70QPRa9G/0gfST9LD05fU39Zf1+fZg9tP3Tfev9+z4Hfhp+NT5Nfl4+bn6HPqa+wH7LPsp+yD7LPtQ+4D7r/vX/AX8TPyv/Rv9gf3n/ln+1f8+/4L/qP/C/9n/7f//AB0AUQCXAN8BHAFOAYEBtwHsAh8CVgKaAuYDMQN5A8cEKgSkBS0FuAY5Bq4HGAd6B9kIQAi+CVAJ3QpFCoUKugr9C0oLjwvLDAsMUAyLDLIMygzkDQsNQQ2EDckOAQ4nDk4OjQ7dDx4PMw8gDwgPDA8vD1sPfQ+dD84QExBVEHwQkBCsEN0RGRFSEYoRzBIUEloSmRLREv0TGBMsE0gTbBOQE64TzxP7FDEUbBSnFNwVABUHFPYU4hTXFNUU2BTdFOUU9BUOFTgVbxWjFcgV6RYdFmwWwhcDFzAXYBelF/EYMhhpGKYY8xk+GXgZoBm7GcgZuRmIGUAY+RjGGLQYwhjgGP8ZFhkkGSgZIBkOGPIYzhilGH4YZhhYGEgYLxgYGA4YDRgSGB0YLxhCGFEYYRh0GIUYiBiCGIQYjRiUGJYYpRjPGQUZKxkzGSMZBBjhGMUYuhi/GNQY/Rk2GWQZXxkkGOQY0xj3GSQZLRkRGPEY3xjFGIgYNhgDGA0YLRgpGAAX5xf3GAoX9he/F4oXaRdhF3YXixdEFmEVOxSYFOcV0xa2F1cX6RiDGO8ZCRkEGR4ZTBlaGUAZJhkfGRcY+xjYGL4YpBh9GFAYJxgAF9EXohd7F10XPxcbFvUWyhaaFmkWQBYdFfgVzRWfFXMVSBUeFPYU0RSuFIoUYxQ2FAQT0xOoE34TTBMVEuMSvRKbEnoSWxJAEhwR6RG3EZYRfhFdETQRGBEEENMQZw/XD2APJA8RDvcOsQ4vDXMMkAuxCwcKsAq1CwALYgukC7ALpwu6C+8MFQwIC9ILlgtNCtAKGwleCNEIdQgjB8MHYQcRBtYGpgZ8BlYGMgYNBecFvwWTBWgFRgUtBRkFBQT2BOwE3gTIBLEEngSGBF0EKgQGA/cD6gPPA6wDjgN4A2QDTwM9AyoDEAL2AucC4gLaAswCwAK3AqkClgKEAngCawJdAlQCUwJLAjMCGAIIAf0B6QHNAboBrQGVAXIBUwE+ASAA8QDOAM0A2wDQAK8AnwC0AMwAvACLAGIAVwBXAEMAD//K/4v/Zf9W/0//P/8q/xr/E/8I/vD+0P6u/ov+Y/4+/ij+IP4X/gT96/3a/df91v3K/bH9lf1+/Wj9S/0q/RH9Bvz//O/81vy9/K38ofyX/I38gfxv/Fv8S/xD/D78Ofwz/DD8Lfwq/Cj8Kfws/C/8Mvw0/DT8Mfww/Db8PvxE/Eb8SPxJ/Eb8QPw+/ET8S/xP/E78T/xS/Ff8XPxg/GT8Zvxs/HP8efx7/H78hfyM/JH8lfyc/KX8q/yw/Lj8w/zN/NT83Pzn/PP8/v0J/Rn9Jf0q/Sv9Mv0//Ur9Uv1a/Wb9dP2D/ZT9p/25/cv93/30/gf+E/4e/iz+O/5I/lD+V/5g/mr+c/56/n/+gv6F/or+jv6R/pL+lf6Z/pz+mv6X/pf+mP6X/pb+lv6W/pX+kf6N/on+gv56/nL+a/5j/lr+UP5F/jj+Kf4b/g7+A/32/ef91P2//az9oP2b/ZX9hv10/WP9WP1R/Un9P/0y/SX9IP0m/S/9NP0z/TD9MP00/Tn9Pv1B/T39Nf0v/S/9Mf0w/S39LP0s/Sr9Kf0o/Sj9Jf0i/SL9Jv0q/Sv9Lf0v/TP9N/0//Uf9Uf1b/Wj9d/2F/ZL9nv2r/bf9wv3N/dr95f3u/fj+Bf4R/hf+Hv4r/jz+SP5P/ln+a/6B/pX+pv65/tL+8v8X/z7/Yv+E/6n/1AABAC4AWwCNAMYA/wE7AXoBwAIJAlAClQLaAyADZAOhA9MD/gQiBDMEIQPqA7kD1AR0BZAG4ggdCTUKZgvlDYUOxw9UD1EPNA9SD6oQIBCjESgRkRHHEdcR4hH1EgoSIhI9ElISVRJCEg8RmBDCD7AOtg3zDTUMSAtRCqoKfAqbCskK7QsHCxELBArqCsoKpApwCjAJ4QmACREIrAhkCDMIAwfQB54HcwdRBz4HOQcuBwQGvAZpBhUFvgVoBRwE1QSBBCQD0wOMAyYCgwG+ARYAoQBG/+v/lP9P/xj+5v66/pj+c/48/fb9tP2G/XD9bv10/Wv9Rv0M/Nv8xfzF/M380PzI/K/8iPxd/DH7+/ux+1z7DvrO+pL6UfoR+dv5t/mp+cH6Bfpl+r/68/sA+vf66frY+sX6tvq1+sT63/sA+xn7Ivsc+xX7Gvsw+1X7jvvU/Ar8GvwV/Cf8XvyH/GT79vt9+y/7CPrs+tP6yvrW+uv7Avsd+z77Xft3+5P7tPvW+/T8Fvw+/Gn8jPyp/Mj86Pz+/Qf9Cv0S/ST9N/1B/UD9N/0u/Sf9Jf0m/S39N/09/Tv9Nv00/Tf9O/0//Ub9Uv1d/Wb9cP1//ZH9ov2x/cP91v3p/f7+GP41/lL+bv6K/qn+yv7s/xD/N/9d/4H/ov/G/+wAFAA7AGMAiwCzANoBAAEkAUcBawGRAbcB2gH5AhUCMwJXAoICrALPAu4DEAM2A1cDcQOHA54DsgO6A7YDsQO2A8MD1QPpA/wECwQUBB4ELgRDBFkEbAR/BI0EkgSRBJUEpQS4BMUEygTSBOIE9wUKBRUFHAUhBSMFHwUXBREFFAUdBSIFHQUVBRQFGwUjBSgFKQUoBScFJAUjBSMFIgUdBSsFKwUsBSsFKAUoBSsFLQUpBSQFIQUjBScFLAUwBTQFOAU7BT0FPQU7BTwFQwVOBVsFaAV5BY0FoAWsBbIFtgW8BcQFzQXSBdIF1wXuBhUGPgZfBoIGswbrBxwHSQeJB90IJQhHCFgIhwjZCSgJTQlPCUkJPgkfCOwItgiFCEsH/weuB2oHNwcKBt4GswaLBmMGOgYPBd8FrQV+BVQFKgT+BNIEogRoBB4D0QOQA14DLwL+AtMCsgKPAmMCMgILAfIB3wHIAasBhgFZASgA+wDWAL0ArACbAH8AUwAf/+7/vf+B/zL+1v51/hT9q/03/Mb8cvxQ/Ff8Z/xo/Fb8NPwB+8f7nvuU+5r7ovu+/Aj8YPx0/BX7dfrv+qf6gvph+kD6HPnl+Zj5SvkL+Nr4uvi3+MT4vviU+GD4PPgb9/T33ffm99b3Zfa19lP2mPc896L3iPcr9tz2svaZ9ob2cvZQ9h317vXe9ev2A/Yf9kv2jvbe9yv3cve19/T4Kfhi+Lz5Sfns+lj6WPoN+dz5/Pot+gP5Y/ik+CP36fe994L3Tfcz9yr3IPcW9xX3E/cG9vb2+PcL9xz3Hvca9xv3G/cV9wv3A/by9tD2pfaD9mr2QvYE9cH1gfU09OP02PVa9kj3FPdH9un2XPXm9Yf1MfTz9NT0uvSL9FL0LfQe9A7z8vPW88XztPOZ83/zb/Nh80rzKfMG8t7yqvJr8ijx6PGo8WnxLPDx8LXwePA67/jvsO9p7yju6u6m7l3uE+3L7XztKOzb7J7sbexA7Bnr+eva67Pri+tp60vrKusD6t/qwuqm6onqb+pY6j/qJOoO6f/p7enS6bXpoOmN6XXpWelC6TLpHOkB6O7o5ujf6M7otOia6ILoZ+hL6DLoGOf659nnv+e157/n4ega6GTos+kA6Uvpjem46bfpk+ly6YDpueni6bnpPei16G7ofejD6RvpaemU6YvpZelb6ZHp7+o96mHqduqe6uXrNuty64breet968XsVez27WXthu137XLtpu4c7qjvD+817zrvQe9S72Dvc++m7/XwPPBk8IHwtPD/8UrxivHN8h/yevLO8xfzVvOM87fz2PPz9Af0GfQv9Fb0k/Tk9UH1n/YC9m/23vc493L3pffx+Fj4uPkB+Un5qPoV+mr6lvqm+rH6xPrk+xP7Rvtx+5z74PxL/Mb9Mv2M/en+VP66/wb/Ov9k/4j/nv+m/7P/3AAjAHIAtQDoARsBVQGOAcEB9AI2AogC2AMbA1wDswQuBMQFWgXgBlkG0wdUB9QIUAjQCVUJ0AopCmQKmwrhCy4LbguiC9sMHQxXDHwMkgyrDNYNFQ1kDbMN8Q4XDjoObw6zDusPAA7wDtIOvA69DtYPAg85D3cPsw/jEAEQGRA+EHIQqBDaEQ4RSxGOEc4SDRJKEn8SpRLAEt8TBxMtE00TcBOhE98UHxRdFJUUvhTPFMcUthSoFJ8UmhSZFKAUrRTEFOkVHBVNFXEVkhXLFiEWeRazFtQXABdOF6oX9hgwGG0YuBj/GTEZUBlwGZMZpxmSGVIY+RirGIUYjhizGN0Y/RkSGR8ZKBkqGSMZCxjlGL0YoxiWGIQYZhhAGB4YAxfwF+wX/RgXGCwYOxhKGFcYWxhcGGUYdBh8GHkYfxihGNEY8hj1GOMYzRi8GLMYsxi5GMoY7xknGVEZShkRGNYYyBjmGQcZChjxGM4YqBh1GDAX8BfXF+sYBxgHF/YYAxg8GHQYeBhEF/gXrRduFz8XDhaiFegVPBUzFe8W5xd1F5QXvRg4GMcZFRklGTUZWxl1GW4ZVRk/GSwZFBj8GOQYxRibGHIYThgnF/gXyBejF4cXaBdAFxUW7BbEFqAWfhZXFicV8hXDFZ0VehVUFS4VBRTXFKYUeRRQFCQT9hPKE6ATchM8EwwS6xLWEroSkhJlEjkSDRHlEckRsRGPEWEROxEpERUQ2hB2EBEP2w/RD8IPeg7pDh8NLQwcCwYKJQnHCgQKmAsTCzsLNwtNC4QLnQtvCxgKzAqJCicJmgkQCLMIdgguB80HbQchBucGswaEBloGMQYIBeAFuAWMBV0FOQUmBRsFDAT3BOMEzASxBJMEeARcBDcEDgPyA+UD2QPBA6UDjgN5A2IDTgNAAy8DFQL5AucC3QLSAsUCvgK6AqwCkwJ9AnICagJfAlcCVQJNAjoCJAIZAhAB+QHZAcEBsgGaAXcBVwFBASYA/QDZAMsAxACnAHsAZgB4AJYApACiAKUAsgC2AJ4AZAAV/8j/kv91/2T/Tv82/yT/Fv8C/uX+yP6x/pj+eP5U/jn+Jv4T/f797f3m/eb94f3Q/bb9mv2F/W/9UP0p/Qn8+Pzt/Nj8ufyb/Ij8f/x3/G38X/xN/Dv8Mfww/DH8LPwi/Br8Gfwb/B38Hvwe/CD8Jfwp/Cn8Jvwm/C38N/w+/EP8R/xI/EX8Pvw8/EH8SfxN/Ez8S/xN/FL8Wvxh/GT8Zvxu/Hj8gPyC/IT8i/yU/Jn8nPyj/Kv8s/y5/MP8z/zZ/N785vzy/P79CP0V/SX9NP07/T/9R/1U/V79Zv1v/Xv9h/2S/Z/9sf3D/dT96P3//hP+If4s/jn+Rv5R/lv+ZP5u/nj+gf6K/pD+kv6T/pj+n/6j/qP+pf6o/qr+qP6n/qj+qv6o/qb+pv6m/qX+ov6g/p3+l/6N/oT+fv52/mz+Y/5a/k/+P/4t/hz+DP38/e793/3P/b/9sv2s/af9nf2O/X39cP1m/V/9Vf1I/Tv9Nv08/Uf9Tv1P/Uv9Sf1H/Un9Tv1S/VD9R/0//T79Q/1H/Uf9Rf1E/UT9Q/1B/Tv9Nf0y/TT9N/04/Tn9PP1A/UP9Rf1I/U/9V/1h/Wz9e/2L/Zr9p/21/cH9zP3Y/eX98P34/gH+Df4Z/iP+LP45/kf+Uv5X/mD+cv6K/qL+t/7K/uD+/f8h/0f/bv+U/77/6wAWAD4AZgCXANEBDgFLAYkBzwIaAmUCqgLrAzIDfwPGA/0EIwRGBGkEegRgBCED8QQfBNMF7gchCEMJegr+DLIOIw7wDyoPOQ9zD+cQeBEKEYMRzRHmEegR7BH1Ef8SDhIfEiwSOBJYEoQScBHVEMQPmQ6NDYcMbgttCssKjgp/CnkKgwqiCrsKuAqeCoIKZApBChcJ5QmgCUcI7QilCGkIKwftB7sHlwd7B2cHXgdSByoG5QaUBkAF5gWIBTAE3gSBBBUDrANIAtICOQGYARcAvABoAA3/uf98/1D/Jv79/tP+nv5e/h797/3T/cX9x/3R/c39p/1r/TX9GP0L/QL89fze/LX8ffxI/Br75PuV+zz69vrM+qX6bPop+ff54Png+fj6Lfp9+s36/vsI+v768/rq+tr6w/q0+rv62fsB+yj7Sftk+3j7h/uT+6r70/wC/Bn8Cfvx/AT8TfyO/H/8FfuK+yD65PrD+q/6q/q6+tf6/Psl+0z7aPt9+5n7vvvm/Aj8JvxJ/G38jfyq/Mn85/z5/QD9Bv0U/Sj9Of1C/UT9Qv08/TP9LP0s/TL9N/03/TP9MP0w/TH9Mf00/Tv9RP1N/VX9YP1u/YD9kv2n/b790/3l/ff+D/4s/kr+Z/6E/qT+xP7m/wr/L/9T/3f/mf+8/+EACAAuAFMAeQChAMoA8gEXATgBXAGEAa4B1AH2AhQCMgJVAnwCowLEAuEDAQMmA0wDbQOKA6QDtQO6A7UDtAO8A8sD3gPxBAMEEgQdBCkEOQRLBF4EbgR+BIoEkASUBJsEqAS1BLwEwwTPBOAE8QT+BQcFEQUbBSEFHwUaBRsFJwU3BTwFMgUlBSMFLAU2BTkFOAU3BTUFMQUvBS8FLwUuBT4FPQU+BT4FPQU+BUEFQQU+BTkFNwU4BTsFPwVEBUkFTQVQBVMFUwVRBVEFWAViBWoFcwWABZIFoAWoBasFsAW4BcEFywXTBdsF6QYGBi4GUwZuBosGvgcCB0UHhgfWCDEIdgiMCJIIvwkdCXkJnQmJCV4JMAj9CMUIkwhmCDEH7wenB2kHNwcMBuIGugaSBmkGQwYdBfIFwgWTBWoFQwUYBOwEvgSGBD8D9wO9A5QDbAM7AwkC3gK1AoQCUgIsAhUCBAHvAdYBvQGkAYMBVQEgAPIA0QC3AJcAbwBEABz/8f+9/3z/LP7K/lf92f1Z/OL8h/xa/F38dvyG/H78Yfw4/A777fvY+8H7ovuY+8T8EPwz+/37lPs4+wP63/q9+qX6j/pg+g/5sflj+Sr5CfkE+Q75BPjX+J/4dPhR+C74IPgu+Bj3nPbl9n72vPdU97T3pPda9xf25va99p/2jfZy9j31/fXT9c/17/Yx9pL3A/dq98D4CPhE+HD4jfiv+PT5bfoG+oL6o/pu+i36JPo8+h75nfjv+Gr4I/fz97v3iPdr9173UfdJ90z3TvdA9y73MvdP92n3bPdi9173XfdU90f3Pfcs9wb21Pav9pv2fvZG9fz1sPVk9Sv1QfXV9rX3YPd99yn2ufZW9fH1iPU89Rv1BvTc9Kr0ivR79GX0RfQr9Bz0CPPq88/zwvO386HzgvNj80HzEfLW8pfyV/IS8crxiPFQ8Rrw4vCl8GDwFO/K74nvTe8L7sHude4q7dvth+047Pfsw+yX7HLsU+ww7Ajr4uvG66/rkets60vrMusZ6v7q5OrL6rDqk+p76mfqUeo06hjqBOnx6dXpuOmg6Y3pdelZ6UTpOukw6Rvo/Oja6LjomeiA6GzoU+g16BvoD+gM6A7oHehG6Iro2+kp6XHps+ni6e/p2Om/6cnp9eoP6dvpV+jM6I3osukR6W/prOm/6avpi+mJ6bzqD+pV6nrqjeqw6u7rOuty63/rb+t669Lsbe0G7VftVe007Tftg+4G7obu0e7l7uru/e8X7yrvRO9978zwDfAv8E/wifDW8R3xWPGU8dryJvJt8rDy7/Ml807zbfOG85/zvPPi9BT0UfSZ9Ov1RPWf9f72X/a39vz3PPeJ9+P4OfiE+NP5MPmO+df6Cfov+k76ZvqB+q/66vse+0n7ifv0/HP83v0l/WD9p/34/kT+hP7B/vj/If85/1H/fP/BAA8AUACDALUA8AEtAWEBkwHXAi4ChQLHAwEDUwPRBG0FBgWLBggGkQcqB8YIVAjUCUsJtAoDCjsKcwq2Cv4LOQtnC5cLzwwEDCsMSwxwDKYM7Q1BDZQN1Q4BDiQOTg56DpwOqQ6jDo8Ocw5eDmMOiw7KDw0PRA9rD4YPpA/TEA4QRxB1EJ8QzBEAEToRfBHEEgcSNhJYEnsSpBLKEuwTFBNLE44T0RQQFEwUfBSTFJEUgRRyFGYUXBRZFGEUcxSJFKcU0BT+FSQVSRWCFdUWKBZgFoQWuBcOF20XtxftGCwYfxjPGP8ZFRkrGVMZehl+GUoY7BiLGFMYVxiHGL8Y5xj/GQ4ZHRksGTEZJRkHGOYY0xjNGMcYsxiRGGYYNRgFF+kX6hf8GAsYERgXGCEYKhgyGEEYVRhhGF8YYRh6GKMYwRjGGLYYphifGKQYrBixGLgYzhj3GRkZERjiGLEYpBi4GNEY2RjMGKgYaxggF98XvhfDF+AX+RgGGBoYUBifGNsY2hidGEIX2xdzFw4WpxYiFYkVNhWcFrQX0hhGGBgX7Bg6GNQZRBlcGVQZYRl+GYsZexleGUAZKhkcGQsY7xjFGJsYcxhJGBkX7BfKF68XkBdnFzsXEhbsFssWqRaBFk8WHBXzFdAVqRV8FVAVJBTyFLkUhxRiFEEUHBPxE8cTmhNlEzETDhL4EtwSsRKCElsSPBIbEfwR5BHHEZoRZBE+ESwRFBDaEJAQYBBUEEMP+Q91DtYOIw00C+gKdwlvCT4JygqECvQLEwsgCzYLLArjCnsKKAnqCZoJLwjMCI8IYgggB8UHbgcrBvIGuwaJBl8GNQYIBd0FtwWOBV8FOQUnBRwFCQTsBNAEuQSeBH8EXgQ+BBsD+wPmA90D0QO9A6kDlwOEA2wDVgNIAzcDHQL/AukC2wLOAsQCxQLEArECkAJ2Am8CbwJoAl8CWQJTAkcCPQI7AjQCFgHpAcQBrAGTAXIBWAFJATUBFADyANwAyQCnAH0AYQBcAGAAaQCAAKoA0ADdAMkAmwBbABH/zf+Z/3H/T/8x/xz/CP7r/sn+rv6d/o7+df5W/jb+Gv4C/fP98f33/fn98P3c/cP9qv2W/YH9YP01/Q789vzk/Mr8pfyD/HD8Zvxe/FH8Qfwu/B78Gfwe/CX8IvwW/Az8CvwM/A38DfwM/A/8Ffwb/B38G/wd/CT8Lvw3/D38Q/xH/ET8P/w9/ED8R/xL/Ev8S/xM/FH8Wvxg/GL8ZPxr/Hj8gvyF/Ij8kfyc/KP8p/yu/Lf8v/zG/M/82vzk/Ov88/z//Qr9E/0e/S39O/1E/Uz9V/1k/W/9ef2G/ZX9of2q/bb9xf3U/eP99f4K/h3+K/42/kL+Tv5Z/mT+cf58/oP+jP6W/p7+oP6h/qf+sP62/rb+tv63/rf+tP6z/rb+uf63/rP+sv6y/rD+rv6t/q3+qv6i/pr+kv6I/n3+df5w/mf+Vf4+/in+Gf4O/gX9/f3y/eD9zf2+/bX9rv2k/ZX9h/19/Xf9cP1m/Vz9Wf1e/Wb9bP1t/Wr9Zv1i/V/9YP1i/WD9WP1Q/U/9VP1a/Vz9XP1b/Vv9W/1X/U/9R/1D/UX9R/1G/UX9Sf1P/VP9Uf1R/Vb9X/1o/XP9gv2S/aH9sP2//c392P3i/e39+f4E/g7+Gv4n/jH+Ov5F/lL+Xv5o/nP+hP6a/rL+yf7f/vb/Ef8w/1P/eP+g/8v/+QAkAEsAdACmAOEBIAFeAZsB3AImAnECtwL4Az4DjAPZBBYEQARkBI0EtgTBBJkEUAQhBFIE/wYJB0YIrAo/C90NOw4iDqUPBg9zD/UQgREMEX8RxRHfEecR8BH9EhASLRJKEkkSMRIyEmESfhIuEWQQXg9IDhoM3QvUCzkK7QqqCl4KNApAClsKWgpCCjAKLAorCiMKDwnkCaIJWAkQCMEIZAgRB+AHzgfBB6wHlAd4B0oHBwa5BmgGEAWxBVEE7wSBBAcDjgMeAqcCIQGhAT0A7gCbAD//8f++/5j/b/88/wL+v/59/kz+Mv4h/hL+DP4S/g396f2u/Xn9Wf1C/S39Ffzx/LX8Zfwf+/D7w/t/+y/68/rU+rb6gPpC+h76Ifo4+lL6dfqs+un7EPsU+wT6+/r7+vH61fq1+rD6zfsB+zr7c/up+9j79/wG/BD8Hfwj/A773/u++9/8Q/yn/Lb8Vfu5+yz60/qm+pP6kvqk+sf69vsp+1b7d/uS+7L72fv//B38N/xT/HL8j/yq/MX83fzs/PX9Av0V/Sn9Nv0+/Ub9S/1J/T79Nf0z/Tb9Nf0v/Sr9Kv0r/Sj9JP0j/Sj9MP01/Tv9Q/1R/WP9eP2S/a39x/3a/ez+Av4d/jv+Wf54/pf+uf7b/v3/H/9B/2T/iP+s/9H/+AAgAEYAawCRALsA5wENATEBVQF+AacBzgHyAhUCNgJXAnkCmwK7AtYC8wMXAz8DZgOJA6QDtQO6A7gDtwO/A80D3QPvBAAEEAQdBCoEOQRKBFkEZgRzBH8EiwSZBKcEsASzBLcExATXBOcE7gTyBPwFCgUVBRoFGQUYBR8FLwU/BUUFPQUyBTIFPQVIBUoFRwVDBUAFPAU6BTwFQAVABVAFTgVOBU0FTAVNBVAFUgVRBVAFTwVPBU8FUgVYBV0FYAVjBWYFaAVnBWcFawVxBXUFewWFBZMFnAWgBaQFrgW4BcAFyAXTBeQF+QYVBjgGWAZxBpMG0AcnB4IH1ggvCI0I0gjpCOoJBwlPCZkJsQmPCU4JCQjJCJIIaghGCBoH4AejB20HPQcSBukGwwacBnUGTwYrBgMF1gWqBYQFXQUxBQUE2ASkBGIEHAPmA8ADmgNqAzYDCALaAqkCeAJTAj0CLAIZAggB/QHwAdIBnAFYARsA7gDKAKMAeQBVADgAG//1/7//cP8C/n399/1+/RD8rfxq/F38fvyj/Kz8mPx5/Fv8O/wO+877ifto+4X7xfvn+877n/uJ+4f7dvtN+yX7BvrV+n/6Ffm3+XL5TPlF+U75Rvkb+N34qPiD+HD4efiL+GT31PcY9rb27/d198n3wfeL91P3F/bX9qr2oPaf9on2XfYy9iL2P/aR9w33j/f5+En4h/i2+NH44vkB+UH5qPov+rH68vrS+nv6Qvo/+jT53PlE+LX4XPgm9/X3yfer95j3hPd493v3gfd292f3cfeY97n3uven95v3l/eM93n3aPdW9zL3Afbb9sn2svZ99jL16fWy9Zz1z/Zi9yP3qfe493T3HfbC9lP13PWK9Wv1WfU09Qf06PTT9LX0k/R/9HX0X/Q99CL0GPQN8/Tz1vO886DzdPM68v3yvvJ18irx6fG18YTxTPEN8MfwevAv7+3vsO9u7yPu0+6H7jnt6e2c7VvtJ+z97Nnst+yP7GTsP+wo7BPr9uvQ67DrmOuC62nrT+s36xzrAOrl6szqseqU6nzqaepT6jPqEun66eXpzOmv6Zvpj+l/6WPpPOkR6OjoyOiz6KTojehw6F3oXOhf6FzoW+hy6Kno7+ky6XHprunk6gLqA+n66gbqKOo46gDpe+jw6Lvo8+lh6brp3OnV6b7prOmz6d/qJepn6pDqpOq/6vLrNOto63frceuP6/jsku0P7TPtDezl7QHtbu397m3unO6f7qXuwe7j7vzvHO9X76Dv2/AD8C/wbfCx8OjxGPFT8Zjx3PIY8lTyjvLB8ufzBfMh80LzbfOk89/0GfRY9KH08vVD9ZH15fY99pP24vcx94L30vgf+HL4yvka+Vj5jfnB+ez6Bvoc+kj6i/rL+v37PPuk/CL8ifzB/Nz8/P0s/Wr9rf32/kH+hv7B/vT/Kv9r/7H/7wAhAFAAiADDAPgBLQFxAccCGgJeAp8C/gOHBCYEuwU/BcUGXgcLB7UITAjICTEJiAnMCgEKNwp2CrkK9AskC04LeAujC88L/ww2DHgMxA0XDWcNpw3WDfsOHA40DkAORQ5KDkYOMQ4WDg8OKw5kDqMO1w78DxgPOQ9qD6gP5RAVEDkQWhCAELMQ9hFFEY8RyBH0EiASTxJ3EpkSwxL9E0EThBPDFAMUNxRQFEwUPBQwFCkUIxQjFDAURBRbFHQUmBTDFOwVFBVHFYwV1RYPFj8WgBbbFzcXeReoF+kYRRiiGNsY7hj8GR0ZRhlTGSsYzxhmGCEYHRhPGJEYxBjiGPYZChkdGSYZIhkRGQAY+Rj9GQEY+hjmGMQYkRhWGCcYFBgSGAsX+xfuF+8X+hgFGBQYJhg0GDgYPhhWGH0YnhikGJMYfhh2GH4YjxicGKIYrBi+GMsYvBiXGHYYbxh9GJIYoBicGHYYKxfVF5wXkxenF78X1RfzGCUYZRieGLIYlhhbGBYXyxd1FxYWsRY8FcYVmhYaF0AYaxjnGKUYRxhkGPEZcRmTGXsZbxmEGZsZlxl9GV4ZSBk6GSoZEBjpGL4YkhhlGDcYDRfrF80XrBeJF2QXOxcRFukWxhahFngWTxYqFgMV0BWYFWgVQRUVFN8UqxSHFGoURBQVE+YTuROGE1ETJxMIEuYSvBKXEoESbRJLEh8R/hHpEccRkRFfEUoRQhEjEOkQtRCaEH4QOQ/VD3sPKg6QDVELgAnFCOAJDgncCp4LAgshCyELAAqyCksJ9AmwCWUJCQi2CH0ITAgJB7UHaAcpBu4GtAaGBmMGPAYKBdoFsgWMBWEFOwUkBRME+QTXBLsEqwSYBHsEVgQxBBED+QPrA+QD1wPDA7ADoQOPA3gDYwNTAz8DIgMEAuwC2gLKAsMCyALLArgClQJ+AnwCfwJ4AmwCaAJnAmMCYAJjAlsCNwH9AccBogGDAWYBUwFMAUIBKQENAPYA4QDDAKMAhwBqAEgANQBIAHsApQCtAJ4AjQB4AE4ADv/H/4j/WP83/yH/Cf7k/rj+kv54/mP+Tf41/h3+Bf3y/e799/4B/gH99f3l/dP9vv2p/ZL9cf1F/Rf89vzf/ML8nfx7/Gf8XfxT/EX8M/wf/A38BvwK/BL8EvwK/AH7/fv7+/r7+fv8/AH8B/wN/BH8E/wX/B78Kfwy/Dn8P/xD/EP8QPw+/ED8RfxJ/Ev8TPxO/FP8Wvxh/GL8ZPxq/Hb8gPyF/Ir8lPyg/Kj8r/y4/MP8zPzT/Nr85Pzu/Pf9Af0N/Rj9IP0q/Tb9Qv1L/VT9Yf1v/Xz9iP2X/aj9tv3D/dH93/3r/ff+B/4b/iz+OP5D/k7+Wf5k/nD+f/6L/pL+mP6j/qz+r/6v/rT+v/7G/sb+xf7G/sX+wP6+/sL+xv7F/sH+v/6+/rv+uP63/rn+uP60/q7+pv6a/oz+hP5+/nT+X/5I/jn+M/4y/jD+LP4g/gv97/3W/cf9v/23/az9of2X/ZH9jP2G/YH9gP2E/Yj9if2I/YX9gv1+/Xr9eP13/XT9bf1n/WX9Z/1r/W/9cP1u/W39a/1o/WH9Wf1U/VX9Vv1U/VH9Vf1c/WD9X/1d/WH9af1z/X/9jv2e/az9uP3G/dX94v3t/fj+BP4S/iD+Lv46/kL+Sf5R/l7+bv5//pD+oP6y/sb+3f70/w3/KP9H/2n/jP+w/9b//wApAFUAhAC4APUBNQF0AbAB7QIwAncCvAL+A0IDjAPYBBwEVASFBLYE5wUMBQoE0wR7BD8EZAUPBjYHrwlICswMEg0XDfMOuQ9gD+IQUxDLEUERlhHEEd8R9BICEhESMhJWElESGxHtEfgSHRIPEbAREBAwDvkNkAxkC7wLaQsHCoQKHwoACgIJ9wngCeAJ/AohCjsKPwolCfEJsglrCRAIoAg8CA0IDAgQB/oH0QejB24HLQbgBo4GNgXWBXEFAQSDA/0DgQMSAqICLQHDAXABJwDSAHcAMAAE/+H/sv90/y3+5P6p/oj+eP5g/j7+Jv4j/iH+BP3U/an9i/1w/VH9Mv0G/Lr8VPv4+8D7nftw+zj7DPrz+tf6pvpz+l76b/qO+qX6t/rX+wL7Hvsa+wP69vr7+vr64Pq7+q76zfsJ+0z7jvvQ/BD8Qfxc/GL8V/w6/Af7zPux+9r8RPyy/NL8gvvn+0n62fqd+oX6iPqi+s77APsy+2H7jfu2+978BPwj/Dv8UPxn/IH8mfyv/MP81vzk/PL9A/0X/Sf9L/03/UT9Uf1S/Uf9Pf07/Tv9N/0u/Sn9Kv0p/SP9G/0Y/Rv9H/0i/SX9LP03/Uj9Xv16/Zf9sv3I/d399P4P/i3+Tf5u/o/+sP7R/vH/EP8w/1P/ef+e/8T/7QAYAEEAZgCMALYA5AENATMBWAF/AaUBygHvAhUCOgJaAngClwK4AtYC8AMPAzQDXQOCA58DswO8A7wDuwO8A8UD0wPlA/gECgQaBCkENwRFBFIEXARlBHAEgQSYBKoErwSvBLkE0wTtBPUE8ATyBQUFGwUhBRYFCgUJBRQFJAUzBTkFNgUwBTIFPgVJBU4FTQVKBUgFRwVHBUwFUQVSBWAFYAVfBV0FWwVcBWAFZAVnBWgFZwVkBWIFZAVrBXAFcgVzBXYFewV8BXwFfgWCBYcFjAWTBZsFnwWgBaUFsQW8Bb8FwwXRBegF/wYYBjMGUgZyBqAG7QdXB8YIJgh8CNAJEwkxCTYJRAltCZcJnwl5CTcI6winCHUIVgg6CBEH2QegB3AHRAcZBvEGzQarBoYGYQY9BhYF6wXDBaAFewVPBSAE8wTABIMEQgQLA+MDuwONA1sDLQL/AtACpgKHAnICYAJQAkUCPQIrAgIBwQF5AToBCwDfAK4AgQBkAFcASwAs/+//i/8D/m798P2T/T782vx9/FT8avya/LX8svyk/JX8d/w3+9b7d/tL+2H7k/uq+577ofvT/BL8H/vs+6L7Zfsl+sv6Xfn4+a75g/l5+YP5gflc+R745fjG+Mz47Pj9+Lj4CfdD9un3JPee9+b34Pez93v3NPbp9sH20fcA9yT3KfcZ9wj3FfdU97z4J/h5+LP43/j8+Qz5IvlU+aT6B/p++vr7RPsm+rn6W/pI+k/6FPmI+PL4jvha+DL4Cvft99f3wfex97H3uPey96j3tffe+AD3//fo99j30/fD96j3kPd/92X3Pfca9wX27Pa69nz2UPZB9lH2jvcD95D37vf498T3d/cU9pb2G/XS9b31rvWI9Vn1OfUf9P/04fTY9Nb0w/Sg9IX0efRo9Ej0J/QQ8/jzz/OX81rzHPLV8ozyUfIh8fDxtPFw8Snw3fCT8FHwFO/R74TvM+7m7pzuUu4K7cztmO1u7UntJOz77M/srOyU7H7sXewz7A/r9evf68frsOua64PraOtM6y/rD+ry6t7qzeq06pDqbepT6jzqH+oD6fDp5OnO6afpdelB6RTo9ejl6Nroxeiq6Jvoneih6Jnokeig6MvpAeky6WDplOnK6fjqFOoj6jnqWupm6i3pqekg6O7pLemZ6d/p5unR6cbpyunc6gLqPuqA6q7qxOrW6vvrMuti63jriOu/7DLsuO0I7P3swuyq7Ortcu3+7lPuZu5g7mzuke697uDvBu8873nvru/h8B7wXvCO8KvwzvEJ8VDxkfHI8gDyOPJn8ozyq/LN8vbzK/Nq86vz5vQi9Gj0tfT79Tv1g/Xa9jX2ivbZ9yj3effM+CH4c/i5+O/5IflX+Yb5ovm7+ej6L/p2+rP69/tb+9P8OPxu/H/8iPyf/Mv9CP1P/Z798P5B/oj+xv8D/0X/hv++/+0AHwBWAJEAzQESAVwBogHkAjkCtQNUA/QEgwUIBZsGRwb9B6cIOAirCQQJSAmACbEJ5AofCmEKowrbCwcLKAtLC3oLtQv6DEQMlQzqDTgNcw2dDb4N2g3pDewN7w34Df4N8g3aDc8N4Q4MDkAOcQ6ZDroO2Q8DDzsPeg+yD9wP/hAfEEwQiRDTERwRWhGTEc8SCBIzElQSexK0EvMTMBNtE6wT4hP8E/gT7BPpE+8T9BP6FAcUHRQ2FFIUdhSgFMcU6hUTFUsViRXEFf0WRxalFv4XPRdtF7AYEBhyGLAYxhjRGOgZChkaGPwYrRhGF/YX5BgOGFIYjhi2GNMY7Bj+GQYZBxkHGQwZFhkhGSUZIRkXGQMY4BivGIIYZxhTGDIYAxfaF8sX0hfgF+4X+xgFGAwYFxgyGFoYexiCGHAYWRhQGFwYdRiKGJQYlBiQGIYYcRhZGE0YTxhXGGAYZxhkGEAX+BerF38XfheNF5sXrxfVGAYYJRgfF/oXzReyF64XrheaF24XNBbrFpYWaRa3F5gYmxkbGOkYgBh7GPEZdxmuGZ4ZjBmYGa0ZrxmcGYMZbhlZGUEZJBkBGNgYrBiCGFsYNhgQF+kXxBelF4cXYxc2FwsW6BbIFqUWfhZWFikV8hW4FYsVaBVCFREU3xS5FJcUaBQuE/sT0hOsE4ATVRMsEwES0RKtEpwSjxJsEjgSEBH7EeURuxGNEXYRcBFaEScQ8BDKEKkQbxAlD/AP0g95Dm8Mlwp2CPEImAk7CioK0wsYCyELBgrECmUKBQm0CWYJEAi/CH4IQwf8B60HZQcjBuMGqQaCBmgGRgYQBdYFqAWCBVwFOAUeBQYE5QTCBKsEogSWBHsEVQQwBBMEAQP6A/QD5QPOA7cDpAOUA4EDbwNcA0QDJAMGAu8C2gLEArgCvQLCArYCnwKTApUCkQKCAnYCegKCAn8CdwJ0AmkCQwIIAc8BpQGFAWsBXAFYAU4BNwEdAQkA9QDcAMYAsACKAFEAJAAiAD8ATAA5ACgAPABlAHMATwAI/73/hP9f/0b/Kf77/r/+g/5S/i/+Gf4M/gL99/3w/fX+AP4D/fz98v3s/eP90f26/aD9gP1S/SD8+Pzc/MH8ofyD/HD8Y/xW/Eb8M/wf/Av7/fv5+/z7/fv6+/X78Pvq++f76vvw+/f7+/v+/AP8CPwP/Bn8JPwu/DX8Ovw9/D/8P/w//EH8RfxI/Er8TfxQ/FT8Wvxf/GP8Zvxt/Hf8f/yE/Ir8k/ye/Kf8sPy8/Mr81fzd/OT87vz4/QL9Dv0b/Sf9Mf07/UT9Tf1U/V79a/16/Yf9lP2j/bP9w/3V/eb99f3//gr+G/4v/j7+Sf5U/mD+av5y/n/+j/6b/qL+qP6y/rv+vf68/sH+y/7S/tL+0v7U/tT+z/7L/s3+0f7S/s/+zf7L/sf+w/7A/sD+wP6+/rv+tP6o/pv+kf6I/nr+Zv5Y/lX+Wv5a/lP+SP45/iT+Cf3x/d/91f3M/cP9u/2z/a39p/2j/aH9of2j/aP9oP2b/Zj9lv2V/ZP9kf2O/Yr9hf1//Xv9ef16/Xz9ff15/XT9cv1x/W79aP1i/WH9Y/1h/V/9YP1m/Wv9a/1r/W79dv2A/Y79nv2t/bn9wv3N/dv96/36/gf+Ff4k/jP+Qf5M/lP+Wv5j/nL+hf6a/q3+vP7L/tv+7/8F/x7/O/9c/3//ov/D/+QABwAwAGAAlQDNAQgBRgGFAcIB+wI2AnUCtwL8A0EDiAPNBBIEWQSfBN8FFQVDBV8FUQUIBJ4EWASCBT8GdQflCVAKngvgDSMOTw8tD7MQEBB4EOsRSBGEEbER2RHvEfcSCxInEiYR9RG/EbUR0BHkEdkRpxEaD/YOZw0DDDkL3gt4CtsKRAnuCccJqAmQCZYJugnnCgsKIAodCf0JzAmRCUEI2Ah3CEYISQhSCDwICQfPB5YHVAcDBqkGTAXuBYgFEgSLBAEDiQMfArMCRQHmAZ0BWAEDAKgAZAA5ABb/5P+j/1r/FP7i/sn+tv6N/lP+KP4e/h7+DP3t/dP9vf2d/XL9SP0a/M78YPv1+7D7jvt0+1P7Nvsf+wT63Pq1+qb6rvq/+sj6zvre+vj7CfsB+u365Prw+vj66PrJ+sH64fsc+1r7lPvS/BX8Ufx5/IT8cvxI/BP75vvY+/n8RPyY/Lz8j/wd+5P7GvrC+pD6ifqq+uH7FftB+277pPve/A/8MvxL/F/8cvyE/JX8pfy1/MX81Pzj/PP9Bv0X/SL9J/0v/T79Tv1T/U39R/1F/UT9P/02/TH9MP0u/Sb9Hv0Z/Rn9G/0c/R79I/0s/Tr9UP1r/Yf9of26/dL97P4I/ij+S/5w/pL+s/7S/vD/Df8s/1D/d/+d/8L/6gAXAEMAagCPALoA6AEUATsBYQGHAasBzQHwAhgCPgJeAnoCmgK9AtwC9AMNAy4DVgN6A5cDqwO4A70DugO3A7wDygPeA/MEBwQZBCkENwRDBE8EWQReBGQEdASLBJ4EowSmBL4E5wUFBQQE9wUEBS8FUgVOBSgFBwUABQwFGgUjBScFKQUoBSsFNAVABUkFTQVPBVAFUQVUBVoFXwVhBW8FcgV1BXMFcAVvBXMFeAV7BXsFeQV2BXMFdgV8BYIFgwWEBYcFjAWPBZAFkwWZBZ8FpAWpBawFrQWsBbEFuwXCBcEFwwXSBeoGAAYUBiwGTwZ6BrUHDweGCAEIYwisCOkJHQk/CU8JXQlyCYYJhQlmCS4I5giiCHIIVwg9CBMH2gejB3UHTAciBvsG2Qa5BpgGdgZTBiwGAQXaBbgFlQVqBTsFCwTXBJwEYAQrBAAD1gOpA3sDTgMhAvgC2ALAAqwCmAKJAoECdQJWAh8B2gGaAWgBPAENANYApwCPAIsAgwBbAAb/h/7v/mD9+/2+/X79GPyd/Er8Qfxp/JH8pvyw/LT8nPxU++X7fPtI+1L7cvt4+3D7kfv0/GL8iPxQ++/7mftN+vL6iPol+d75t/mv+bj5u/mh+XH5RPk2+U/5d/ly+QX4Nfdp9xr3XffS+BL4B/fW95r3Vfcb9xL3Sfej9/b4J/gx+CT4Hfg4+HP4sPjd+P35G/ky+Uj5dfnJ+jX6oPsJ+2z7nvtq+ub6ePpg+mv6Nfmo+RP4uPiQ+G34Q/gl+Bb4Cff79/j3/vf79/L3+vgc+Dn4Ofgk+Bf4EPf999r3v/ez96X3ifdp90/3MfcH9ub27PcZ90/3g/e99/34KPgl9/j3rPc+9rn2SfYW9hH2BPXX9aP1gfVp9U71OPU29Tr1K/UL9PH04PTG9J70efRj9E30JfPu87TzePM08vHyu/KP8lzyGvHP8YTxOvDx8LDwc/Ay7+bvlu9M7wfuw+6A7kPuD+3h7bntlO1u7UftJO0I7OvsxeyX7GzsTew17CHsEewA6+vr0euy65HrcOtU60LrMOsV6u7qyuqv6pPqcupV6kTqN+oc6enpq+lx6ULpJukZ6Q7o++jh6NPo0ejO6MLou+jM6PLpGek16VDpdumq6ePqF+pD6mvqk+qf6mTp3ulU6SLpXum+6ezp3+nL6dXp8OoK6izqZeqq6t3q8+sB6x3rR+tt64rrsev97Gnsxuzh7LXsfuyI7Oztfu317inuKu4m7j7ube6f7svu9u8l71Lvge/A8A3wS/Bl8GrwgfC88QXxRPF68bTx7vIe8kHyZPKM8rvy8/M083bztPPx9Db0f/TA9Pr1PPWN9eT2MvZ79sn3Hvd198r4GPhc+JH4wfjy+SL5SPlr+Zz54for+nH6vfsd+4n76Pwn/Ef8Wvxy/Jj8yfz7/TD9b/25/gP+QP55/rr/BP9G/3r/qf/hACQAbQC2APkBNgF8AegChQM4A9kEXwTlBYQGOQbsB4kIDQh0CL4I9AkjCVQJiQnBCgEKSAqLCrsK3Ar8CywLbAu1DAUMYQzBDRMNSA1nDX4Nlg2mDa0Nsg26DbsNrA2WDYsNlw2zDdsODA4/DmkOiA6nDtUPEQ9RD4oPtg/bEAIQMxBuEK0Q6xEuEXcRuhHrEg4SNxJsEqUS1xMKE0ITdxOUE5gTlhOgE7MTxRPSE+IT+BQXFD0UZhSNFKwUxhToFRoVVBWMFcUWDRZmFr4XARc4F3wX2Rg2GHUYjhiXGKkYxhjcGM8Ykxg2F+AXuxfUGBAYThh+GKQYwRjRGNUY1xjkGP8ZGhkpGSkZIBkXGQ4Y/RjgGMIYqxiRGGEYGhfXF7cXuhfPF+IX7xf0F/QX+hgQGDEYShhOGEEYOBhCGFsYdxiKGI0YghhuGFYYQxg8GEIYSRhFGDYYLBgkGA4X3henF4QXfReEF5MXsRfYF+gXxBd3FysXCRchF2EXpRfMF84XuheWF1sXIRcoF6IYWxjVGMwYiBiHGO8ZcBmxGbIZqRm2GccZxRm2GaYZlBl6GVkZOBkZGPQYyRiiGIQYZhg/GBAX5BfDF6YXhRdcFzYXFRb1FswWnhZxFkUWFRXkFbcVjhVhFS8VAhTeFLoUhxRNFB8UBBPtE8sToRNyEzwS/hLIEqoSmhKBElkSMhIXEf4R2BGxEZkRjRF4EVARIhD/EOMQuBB5EDoQBg+uDtMNNQsaCUcIfAjVCcAKjwr6CxwLGArqCo4KIAnBCXEJIQjQCIkISAgCB7UHaQcgBtsGowaDBnIGUwYbBdkFowV6BVYFNQUZBP0E2gS3BKIEmgSPBHUEUgQyBBsEDgQIBAID8wPZA74DqAOVA4QDdANhA0YDJQMIAvEC2AK9AqsCqQKsAqgCoAKhAqICkwJ4Am4CfQKNAocCcQJgAk8CLwICAdoBvwGqAZkBkgGNAXoBVgEvARIA+QDhAM8AvwCeAGQALgAZABb/+f/C/6j/2AA2AHwAfgBJAAT/yf+e/37/Wv8k/t3+kf5P/iP+Df4I/gb+Av4A/gX+Cf4C/fT97f3y/fD93f3B/ab9if1f/Sz8/vzg/Mf8rfyV/IH8b/xc/Ej8NPwh/Az7+vvw++z76/vp++f74/vc+9r73/vo++377fvu+/P7+vwB/Az8Gfwm/C38Mfw1/Dr8Pfw//EH8RPxF/Eb8SfxN/FH8Vvxc/GL8afxx/Hj8fvyD/Ir8lPye/Kf8sfy+/M382Pzh/Ov89fz//Qv9GP0n/TX9Qf1M/Vb9Xf1k/W39ev2J/Zb9of2u/bz9zP3f/fP+Av4N/hr+LP5A/k7+Wf5l/nL+e/6B/oz+nP6p/rH+uP7C/sr+y/7J/s7+2P7f/t/+4P7j/uT+4P7c/tv+3v7f/t3+2v7W/tH+y/7H/sX+wv7A/r7+u/60/qr+of6X/oj+ev53/nz+ff5t/lL+N/4m/hr+EP4G/f398v3l/dr90/3N/cj9wv2+/bz9u/26/bb9sP2p/aT9o/2i/aL9of2e/Zr9lP2P/Yr9hv2F/YX9g/19/XX9cv11/Xf9dP1v/Wz9bv1v/W79bv1x/Xb9d/14/Xz9hP2P/Z39rf29/cn90f3Z/eb99/4J/hv+Kv44/kb+Uv5c/mT+bf57/o7+ov60/sT+0f7f/u//Av8X/y//S/9s/4//sv/T//IAFQA/AHEAqADfARYBTwGLAccB/wI0AmsCqQLwAzwDhQPJBAsEVwSsBPwFOQVnBY4FogWHBTIExgSGBK8FUgZVB48I6gppDAINeg6LDykPjw/5EGkQwBD8ETsRghG1EcgR0xHmEe0R1xG7EbYRwxHQEegSAhHKENgPQg2xDLsMTwvpC0MKiwoDCbEJeQlVCUgJSAlHCU8JbwmXCaoJoAmDCVYJEQjDCJAIhQiJCHUIQgf/B7oHbgcTBq4GTAXyBZQFIgSdBBkDpgM8AssCXAIDAcQBhAEwANQAjABfADoACv/K/4P/Qv8W/v/+5v6x/mr+Nf4i/h7+Ev4D/fz98P3I/Y79Wv0u/O/8jvwn+9z7tPub+377XPs6+xz7APrq+tn6zvrG+sH6vvq++sL6w/q/+r36yfri+vT67/rh+uX7B/s4+2T7jfu8+/b8Mfxf/HT8avxK/Cn8GPwY/Cf8Rvx1/KH8rPyC/Cn7rvso+rr6ivqh+uL7IPtN+3z7u/v//DX8Vvxs/IL8lPyf/Kb8rvy6/Mj81vzl/PX9B/0W/R/9I/0q/Tb9Rf1O/VD9UP1P/U39R/1B/Tz9OP0y/Sz9Jv0i/R/9Hf0d/R/9I/0p/Tb9TP1o/YT9n/25/dP97f4J/iv+Uv57/p7+vf7a/vf/E/8z/1j/gf+n/8r/8AAbAEcAbgCTAL4A7QEaAUMBawGTAbgB2gH8AiECRgJlAoACoALDAuAC9AMIAycDTwNyA4oDmwOqA7QDtgO0A7kDygPiA/kECwQcBCsENwRCBE8EWwRgBGMEbQSCBJMEmQShBMEE8AULBQME+QUZBWAFkwWFBUgFEwUGBRIFHQUeBSAFJgUqBSwFMQU7BUgFUQVVBVcFWgVfBWUFagVtBX4FhAWIBYgFhQWEBYcFigWLBYoFiQWHBYcFiQWPBZMFlgWXBZkFnQWfBaIFqAWxBbcFugW9BcEFwgXCBcQFywXQBdAF0wXhBfYGCAYaBjQGXAaPBtIHMgevCC0IiwjCCOQJAgkfCToJUglnCXQJcwleCTEI8QiqCHQIVAg7CBUH4QeuB4IHWwcyBwsG6QbJBqoGigZpBkMGFgXrBcUFoQV6BU8FHwTpBK4EdARDBBoD8gPIA5wDbgNCAx0DBQLyAtsCwwKzAq0CnAJ0AjkB/wHSAa8BjQFiATABAQDfAMgApgBi//b/dP73/pX+W/41/fj9h/z2/IL8VPxl/I38sfzK/ND8s/xl+/X7jPtT+1H7Yfte+1f7fPvi/FP8f/xT+/z7rftn+xD6qPpK+g759fny+fn5+/nw+dv5y/nQ+ef59/nK+Tj4WPeV91X3n/gS+E/4QPgK99D3ofeP97H4Bfhr+MP4+/kP+QT48Pjv+QP5Gvko+Tj5Vvl++bD5/vpx+vT7Zvu++/v7/Pug+wv6nfqE+oP6Pfmr+SH43fjF+KL4cfhT+FH4U/hM+Eb4SPhF+Dn4OPhO+Gj4bfhh+Fb4Tfg2+BL3+Pfx9+r30fev95H3c/dV91X3lPgC+GP4jfiI+HL4Vvgx9/33svdL9tb2f/Zl9m32YfYv9fb11vXG9bP1oPWb9Zv1jPVv9VT1QPUi9Pj00/S89KX0e/RF9A3z1POV81fzJvL78sXye/Iq8dvxkfFL8Qzw0fCR8Ejv/e+573nvOe767r3uhu5T7ifuA+3h7b3tme127VPtKOz37Mrsp+yQ7IPse+xv7FnsO+wZ6/fr1uu766frk+tz60vrJusJ6urqxuqo6pfqh+pk6ijp4emj6XbpXOlP6UPpMOkZ6QrpAej16OXo5Oj86R/pN+lB6U3paemZ6drqIepm6qTq1urj6qPqGOmL6VnplOno6gbp8Onj6fzqIeo86lzqmOrh6xXrLus/61jrdOuK66fr3+w27IvstOyc7GHsQ+x17PPtf+3a7fPt7+357iDuVO6F7rPu4u8M7y3vVu+c7/LwLvA48CzwPfB48MDw/fEy8W7xq/Hc8gLyKvJY8ozyxfMF80jzhfO+8/70QfSB9Lv0/vVM9Zr14PYj9nH2xvca92n3tff8+Dj4aPiW+Mf4+Pkp+V/5n/no+jf6i/rj+zz7jvvY/Bn8UPyD/LP81/zo/PH9DP1G/Y79y/36/jD+c/62/u7/H/9Z/5//7wBAAIwA1gExAbcCagMoA8kESwTQBW8GHAa+B0oHwAggCGQIlQjECP0JOQl0CbMJ+Qo+CnAKjwqtCtwLGwtlC70MJQyRDOgNGw0xDUINWA1uDX0Nhg2GDXYNWg1ADTYNPg1TDXgNrw3wDiYORw5gDoQOuw7+D0EPeA+hD8IP5RAQEEAQdxC5EQYRURGNEbwR7xInElsSgxKpEtUTAhMhEzETPRNTE3ITkROrE8IT3hQDFDAUXBR+FJMUqBTJFPoVMhVnFZoV2hYqFn0Wwxb8FzwXjxfmGCcYRxhUGGYYhhimGK8Yixg9F+UXrReuF9gYDxhBGG0YkBihGKEYohi3GN0ZAhkUGRIZBxj/GPwY9hjnGNQYwhipGHUYKBfdF7UXthfRF+0X/hf9F/IX6RfxGAUYEBgMGAcYFxg+GGgYgxiKGIAYaRhLGC4YIBgjGDIYNxgkGAEX5hffF94XzReoF4EXaxdzF5sX1hf7F94XeBb7FqsWqBblF0IXmRfPF9wXzhe2F48XWBc3F2EX1RhHGHoYhxi7GSoZlxnDGbsZtxnKGdwZ1xnIGb0ZsRmXGXMZUxk3GRQY5xi/GKMYixhoGDwYEBfqF8cXoxd+F1wXOxcUFuUWtRaKFmQWPBYQFd4VqBVvFTsVFRT7FN8UuBSPFHQUZhRRFCcT7xO2E3oTNBLsErYSmxKPEn8SYhI9EhQR6xHHEa8RnxGOEXURWRE+ESURBhDREIEQHA+bDssNaAt9CaEImQizCYUKXAreCxsLLwsQCrMKOAnOCX8JMwjjCJkIWAgUB8QHbwcgBtsGpwaKBnoGXAYkBd8FpAV5BVUFNQUXBPkE1wS2BJ8EkwSGBHEEVgQ+BCsEHQQTBAoD+wPkA8gDrgOWA4IDcQNeA0UDJgMKAvMC2AK8AqcCoAKdApcClQKbApkCfwJgAlsCdQKKAn8CXQJAAikCDQHyAeMB4wHoAe4B/QIEAesBrQFiAScA/ADbAMYAuACcAGsAOgAfAAn/0f+B/1r/i//2AFAAawBSACT/9f/M/6b/gP9P/w7+xv6H/lv+Rf46/jD+I/4Z/hb+D/3+/ev95v3s/en90/21/Z/9iv1n/Tf9Cvzp/M/8tfye/Ir8dPxb/EL8LPwZ/AT78vvn++H73fva+9n71/vS+9D71/vf++L74Pvh++f77Pvw+/j8B/wV/B78Ivwp/DL8OPw8/D/8QfxB/ED8QvxH/E38UvxX/F/8afxx/Hf8fPyD/I38mPyi/Kz8t/zC/M381/zi/O38+f0E/RD9Hv0t/Tv9Sf1Y/WT9bf10/X/9jf2c/aj9s/2+/cv92f3q/fz+C/4Y/if+Of5M/ln+ZP5y/oD+if6P/pj+p/60/r3+xP7O/tb+2P7Y/t7+5/7t/u7+7/7y/vP+8P7s/uv+7P7r/uj+4/7e/tj+0v7O/sr+xv7C/sD+vv68/rn+s/6q/p/+mf6b/pr+if5i/jb+Ff4I/gj+Dv4V/hb+Df3+/e/96P3l/eP93/3b/dX90P3K/cP9u/2z/a39qf2m/aP9ov2g/Z79mv2V/ZH9jv2M/Yv9iP2C/Xr9dv16/YD9gP18/Xn9ev19/X39fv2B/YX9iP2J/Y39lv2j/bD9vv3M/dn95P3t/ff+B/4a/i7+Pv5M/lr+Zv5w/nn+hP6W/qz+v/7O/tr+5f70/wb/Gv8w/0n/ZP+B/5//vf/dAAAAJgBSAIUAugDvASIBVgGNAcUB+wIuAmMCngLkAzQDhgPPBBIEXAS1BQ8FVQWDBaYFxAXOBa0FWwT0BKkErQUcBfQHKAinClAL4w0bDeoOfg8JD4kP6RAzEIwQ+hFUEYMRmRGwEcIRxBHCEcURwxG6EdASERIgEXQQBA5uDVoM0wxgC7EK5Qo3CbkJXQkbCOgIqAhaCC0IUQi3CRkJTQlbCVYJPAkMCNoIwgjACLMIhQg7B+QHhQcYBqcGQQXrBZYFLgS1BD0DzwNgAuUCcAIeAesBtQFlAQgAvQCLAGEALv/u/6f/Z/86/yP/Cf7U/o3+VP42/ib+GP4S/hb+Df3h/aD9af1D/RP8yPxy/C78APvZ+6n7bvs3+xH7Afr7+u761vq/+rH6pvqT+nv6avps+oL6qvrU+vD6+vr/+xP7NftU+2n7ffud+8j7+Pwl/Eb8T/xE/Dv8QfxN/FH8Vvx1/LD87f0D/NX8W/uo+vb6jPqK+tD7IPtc+5X72fwg/FL8bvyF/J78sPy1/LT8ufzF/NP83/zr/Pn9Cv0a/Sb9LP0w/TX9Pv1J/VL9V/1V/VD9S/1G/UH9Of0x/Sz9Kf0l/R79F/0W/Rj9G/0h/S/9R/1l/YT9of2+/dn98v4N/i/+Wv6E/qj+xv7i/v//HP89/2P/jf+0/9b/+gAiAEsAcQCXAMIA8gEhAUwBdQGhAckB6wIKAiwCTgJrAoUCogLCAtsC6wL+Ax0DRwNoA3oDhQOUA6UDsAO0A74D1APvBAUEFQQjBDAEOQRBBE0EXARmBGsEdASHBJkEoASnBMAE5QT4BO0E6wUaBW4FpQWTBU8FGQUPBR4FJQUiBSMFKwUzBTUFNwVABU0FVwVcBV8FZAVsBXMFeAV6BYwFkAWUBZQFkgWRBZQFmAWaBZkFmwWdBZ8FoAWiBaYFqQWrBasFrAWuBbQFvQXGBcwFzQXQBdYF2wXcBd0F4QXnBewF8wYABhEGIgY1BlIGfAaxBvYHWQfWCE4IogjICNcI5gj+CR0JPglZCWgJaAlYCTUI+gixCHAIRQgrCA4H5we9B5UHbwdIByIHAAbfBr8GnwZ/BlgGKgX6Bc4FqQWGBWIFNQT9BL0EggRVBDIEEgPuA8UDlgNoA0QDLQMXAvoC3QLMAsMCrgKEAlICLQIWAgQB7wHWAbIBfQE5AOwAlQAs/7r/Wv8i/xD/C/7y/q7+PP21/UD8//z0/Qb9Hf0k/Q380fxy/AH7n/to+2D7bvty+3D7hfvC/Ab8IvwK+977t/uH+zj60vp5+kj6PPo/+kL6Q/pG+lD6XPpl+mL6Qvns+Uv4evfQ95736Pha+Jv4kvhg+DH4Ifg8+ID41vkm+WP5jPme+Zb5gPlz+XL5cflu+Xr5pvns+kP6rPsr+6/8Hvxn/H38SPvG+yr6xfqs+pb6Ofmk+S35APjy+M74m/iB+Ir4lviR+If4hPh++HD4avh8+Jf4pPif+Jb4ivhx+FH4O/g0+Cb4BPfd98H3q/eZ9634Dfio+S/5X/k3+OH4g/gt9+T3ofdW9wf20PbG9tL2xfaR9ln2PvY29ij2EfX+9fH13vXD9av1lvV79Vf1NvUe9QL01fSe9Gf0MfP2877zkPNi8yby1/KC8jPx6/Gn8WrxMfD08K/waPAo7+vvru9x7zbu/u7I7pnucu5P7ijuAO3X7a/tg+1U7SntCez27O/s7Ozh7MfspOyA7F/sP+wj7Anr7uvK65/reetb6zzrGer76ufq0Oqk6mHqGOnb6bLpm+mN6X7paulV6UfpOekk6RHpFOkw6U/pXOld6WPpe+mq6e7qQuqY6ufrI+sy6u3qWunI6Zjp1Ooj6jrqIuoa6jbqVupp6onqyusW60jrYut465Hrnuuk68LsC+xm7Jzsj+xS7BnsG+xv7Pjtde227cDtv+3a7g7uQu5s7pruzu737xDvMu9379DwCvAN7/vwB/A/8IPwu/Dv8SrxZvGY8cPx8vIp8mHynfLe8yDzWvOL88Hz/fQ69Hf0uvUF9VD1lPXZ9in2ffbK9xD3WPei9+T4F/hE+Hb4rvjm+R75Wvmj+fr6Vfqn+uz7L/t++9z8PfyU/NX88fzl/M382P0X/W/9sP3P/eT+CP48/nH+pP7a/xb/W/+rAAsAegD9AZ0CWAMUA7YEPgTEBVgF7gZ3BvIHYQfACAgIPQhzCLUI+wk9CYAJxwoHCjMKSgpfCoUKwQsOC20L2wxJDJ8M0QzsDQENGg01DUwNWA1QDTANBAzjDNgM4gz7DSgNag21DfAOEg4mDkUOdw65Dv4POg9lD4IPmw+3D9gQAxA/EIoQ2hEhEWERoBHfEhQSOxJZEngSmBK2Es8S6hMLEzMTYBOME7IT1RP8FCgUUBRrFHoUjBSuFN4VERVBFXEVrRX3FkYWiha+FvIXNheFF8sX+BgSGCwYURh8GJcYixhQF/sXtReZF6cXzBf8GC8YWxhxGHQYdxiOGLcY3RjwGPEY6xjoGOgY5hjcGM0YuxifGG8YKxfpF8QXxBfcF/gYCBgFF/AX3hfdF+gX6RfcF9cX8xgoGFcYbRhrGFwYRBgkGAMX8BfxF/4YARfrF8IXoBebF6sXsBeSF10XOBdKF5UX7RgOF80XRhbHFpAWqRbrFzUXdhecF54XhBdnF08XMBcQFxUXVhe7GB0YghkDGZEZ7BnvGcYZtRnMGeUZ4xnVGc4ZxRmtGYoZbRlUGTAZARjWGLgYnxiAGF0YOhgUF+kXvReYF3UXTxciFvYW0hawFooWXRYtFfoVxBWKFVkVOxUsFR8VDBT6FPAU5BS9FHQUHhPVE50TYxMbEtUSqhKeEpsSiBJfEiwSARHlEdERwBGzEakRmhF+EV0RQhEhEN0QZg/DDt8NhAusCc8IsQixCXMKSQrWCyMLSws5CtsKWAnoCZgJTAj5CKwIbQgoB88HcAcdBt0GrgaQBnoGWgYjBeEFpwV9BVkFNgUUBPQE1AS2BJ4EkASFBHcEZgRVBEEELQQbBAwD/APnA84DswOXA3wDaANYA0MDKgMPAvYC2wLBArACqAKfApMCjAKNAoUCawJRAlUCdQKJAnoCVwI6AiECBAHqAecB+gIXAj4CcgKdApECPgHGAVsBDgDcAMAArgCSAGYAPAAlAA3/0/99/0b/V/+b/9n/9P/2/+//3//G/6j/i/9q/0H/Ef7j/r3+of6G/mj+SP4u/h3+C/30/d/91v3T/cb9rP2S/Yb9e/1h/Tr9E/zy/NP8tPya/IX8bvxU/Dn8IfwJ+/H74PvX+9P7z/vM+8v7yvvI+8f7zPvT+9T71PvY+9774Pve++P78fwB/Ar8D/wZ/Cb8MPw0/Df8Ovw7/Dr8O/xC/En8TvxT/Fz8Z/xv/HT8evyE/JD8nPyo/LP8vfzG/M781/zj/O/8+/0G/RP9If0v/Tz9S/1b/Wv9d/2C/Y79nf2t/br9xv3R/d396f34/gf+Ff4k/jT+Rf5U/mD+bf59/oz+lv6d/qj+tf7A/sb+zP7V/t7+4/7m/u3+9f76/vv+/P79/v3++v74/vf+9/70/vD+6/7m/uD+2/7X/tX+0P7K/sb+w/7D/sP+wP64/rH+rv6r/p3+e/5Q/i3+HP4Y/hj+G/4i/ib+IP4Q/gH9+v36/fv9+f3y/en93f3S/cj9wP24/bH9q/2k/Z79m/2c/Zz9mv2W/ZP9kv2S/ZH9kP2M/Yf9hP2G/Yr9jP2K/Yj9if2K/Yz9j/2V/Zv9n/2h/aX9r/28/cj90f3c/en99/4C/gv+GP4q/j3+UP5g/nL+gv6O/pb+n/6v/sT+1/7m/vL+/v8N/x//Nf9O/2n/hf+e/7X/zv/rABAAOgBoAJcAyQD8ATABZAGXAckB/AIxAmkCpALlAzIDhgPZBCMEbQTCBR0FawWgBb8F1QXnBesFygV5BQgEqQSUBOoFrQbMCC0JnwrnC+wMwg2EDjMOwQ8+D8YQWBDPERgRSRF3EZ4RsBG2EbgRqxGTEaIR7xImEb0Qkw8pDh0NhAz+DEYLcQqpCfgJXAjgCH4IDweLBzIHVQfrCJUJAQktCUAJRgkwCQgI7QjsCOsIyQiACCAHsgc3BrkGSgXwBZsFNwTHBFsD9QODAwECiwJAAhgB7QGjAUsA/wDFAJEAVQAQ/8j/hv9X/zz/If7x/q/+df5N/jH+Hf4W/hb+Bf3X/Z/9df1W/Sj85fyc/GP8NvwC+737bfsm+v369fr6+vL62vrB+rD6m/p1+kf6Kvov+lf6j/rF+u37CPsj+0T7Xvtk+177Yft3+5f7u/vl/BP8NfxD/Ev8WPxn/G38dvyY/Nf9FP0s/Qf8mvvr+yz6qfqV+tj7NPt/+7/8A/xA/Gj8fvyU/K/8wvzG/MX8zfzb/Oj88fz5/QX9FP0k/TP9Pf1A/T/9Qf1L/Vf9XP1Y/VD9Sv1H/UH9N/0t/Sb9Iv0a/RD9B/0E/QX9CP0P/SD9Ov1Z/Xn9mP24/dX97/4M/jH+XP6I/q7+z/7u/wz/KP9I/27/l/++/+AAAwArAFQAegCgAMwA/AErAVcBggGsAdQB9QISAjICUgJuAoUCnwK7AtIC4wL2AxcDQANfA2oDcAOAA5kDrQO6A8gD4AP9BBIEIQQuBDoEQARCBEkEWQRpBHMEfwSUBKkEswS3BMIE1QTeBNYE2QUFBUwFeAVnBTIFDgUQBSIFKAUjBSMFLAU1BTgFPAVFBVIFXQVkBWoFcgV8BYQFiQWLBZoFmgWbBZwFnAWdBaIFqAWsBa0FsAW1BbgFuAW4BboFvgXABb4FvQXABckF1AXeBeMF5gXqBfEF9wX5BfoF/wYHBg8GGQYmBjUGSAZhBoEGqAbZByAHhwgBCGwIqgjACMgI1wjxCREJMwlPCV4JXAlMCS0I+wi3CHEIPggfCAgH7QfLB6UHfwdaBzcHGAb5BtgGtQaSBmwGQAYRBeUFvwWgBYAFVAUWBM4EjgRiBEYEMAQVA/EDxAOVA28DVAM6AxoC+gLkAtICswKFAmACUgJSAlMCUQJNAjQB6wFxAOEAVf/Y/3f/Sv9d/5T/vP+w/3L/Gv7A/nD+Mf4I/fL93v24/XD9CPyP/Br7vvuJ+4H7lvut+7X7tfu3+7n7tvux+7b7u/ul+2H7BPq2+o36hPqE+oP6hvqW+rP6y/rG+pn6TPnh+VH4p/gZ9+v4K/id+O749vjQ+LD4vPj1+UP5h/m1+dj5+/oX+hv6Cvn3+en52fnK+dT6Dfpx+uP7VPvE/DP8lPzP/Mn8cPvZ+0T67vrQ+qL6Mvmh+Tv5GvkR+PP4yvi6+MX4zvjG+Lj4sfip+Jv4mPis+Mr42/ja+NP4x/ix+Jf4hPh2+Fn4KvgA9/D36vfi9/b4U/jx+YP5vPmR+Sj4q/g199r3oPd691T3Nvct9zH3IPbv9rv2o/af9pH2cvZQ9jj2I/YO9f317vXY9bv1nfWB9WD1MPT49ML0j/Rb9Cfz9/PC837zLPLZ8o7ySvIL8dHxmvFe8Rvw1vCW8FnwHe/i76rvdO8/7w7u4u647ovuXu4y7gft3O2y7Y7tdu1n7WHtWu1K7S3tCOzl7MXspeyD7GLsQOwZ6+7ryOuo64rrautN6zTrFOrg6prqVOoe6fvp5unW6cTprumb6Yzpeulf6UnpTulp6YPpjemO6Zfpsenf6iTqferb6zPrduuH6z/qpeoO6dzqFeph6nXqXupZ6nHqh+qR6rDq9Os962jrf+uY667rsOuw69zsO+yV7Krscewd6/DsD+x17PrtZu2V7Zbtmu3B7f3uMO5X7oXuve7n7vrvE+9Q76fv5O/p79bv3PAI8EPwefCt8ObxHvFQ8YHxuvH48jbydPK48vvzMvNd84rzwfP89Db0dfS69QL1SvWV9ej2PPaF9sb3CvdR95T3y/f7+C74Z/ig+Nj5FPle+bj6F/pn+qP63Pso+5H8Cvx8/M386fzW/Lv81f0y/aX97v32/eL93/38/i7+Zf6X/r7+5f8l/5MALADcAZMCSgL8A6AEMwS8BT0FtgYmBpMHAAdkB7QH9AgxCHYIvgkHCVQJoAneCgIKDgoWCjAKZQq1CxkLhQvnDDIMaAyRDLUM1wz3DRQNJQ0aDO8MuAyQDIgMmgy+DPcNQg2NDcIN3Q3uDgsOPQ58DsAO+w8nD0MPVg9nD3wPng/XECMQdxDFEQwRUhGVEc0R+BIVEisSPxJXEnoSpBLQEv8TNxNzE6oT1hP7FCAUPxRSFGAUcxSTFLoU4hUMFT8VfhXJFhgWXBaNFrQW5RcnF24XqBfSF/kYJhhXGHsYfxhYGBAXwheKF3YXhRewF+kYHRg6GEIYSRhjGIwYsRjGGM4YzxjNGMwYyxjHGL8YrxiSGGQYLBf6F94X2hfmF/cYAhf8F+cX1RfZF+oX7xfeF88X2xf9GBkYIxgkGCIYFxf6F9MXthetF7QXvBezF5MXbxdiF3IXfRdjFykXBRclF4MX3xfwF6EXJhbPFsEW5hcRFzMXVBdtF2oXSBcoFxwXGRcMFwEXExdNF6sYNhjxGasaFhoQGdYZuBnMGegZ6xnhGd0Z1hm+GZwZgBloGUUZGRjxGNIYshiQGHIYWBg2GAYX1RevF4sXYBcyFxAW/BbeFqsWbRY7FhkV9hXHFZYVdRVoFWUVYBVWFUoVMBTzFJEUJBPTE6YThBNQEwwS0RK1Eq0SnhJ6EkwSKhIXEggR9xHqEeUR2RG2EYoRbhFfETcQ1BAvDzQNuQvDCdYItQi4CXwKTwrXCykLXQtXCwEKgAoQCb0JbAkUCMQIggg2B9MHawcZBuAGtAaRBnMGTwYbBd8FrQWHBWIFOQUPBOsEzQSxBJwEjwSJBIMEeQRqBFUEOwQgBAkD9APhA80DtQOXA3kDYQNQA0EDLQMUAvgC3ALEArcCsgKqApsCjwKIAnsCYwJUAmACfAKHAnUCXAJNAjsCFwHyAeYB9wIcAlcCrgMCAxQCwwIxAZ4BMADuAMoAtQCWAGcAOgAjABL/5P+W/07/L/8y/z3/SP9d/3z/kv+T/4P/cP9g/1D/PP8j/wT+4f66/o7+Yf45/hn9/f3i/cv9u/2r/ZP9eP1o/WX9YP1N/TD9FPz6/Nn8tPyU/H38Z/xO/DT8G/v/++L7zfvG+8X7w/u++737vvu++777wvvG+8j7yvvQ+9X70/vO+9D73/vu+/b7+/wH/Bb8IPwk/Cj8L/wz/DP8Nfw8/ET8SfxO/Ff8Yvxr/HH8efyE/JD8nPyn/LP8v/zI/ND82/zo/PT8/v0I/RX9JP0x/T39S/1c/W/9ff2J/Zb9pv23/cb90/3f/ev9+P4E/hH+H/4v/kD+UP5d/mn+d/6I/pf+ov6r/rf+xP7N/tL+1/7f/uf+7v70/vv/Af8E/wX/Bv8G/wT/A/8C/wL+//77/vj+9v7y/u3+5/7k/uL+3/7Z/tL+zf7L/sj+xP69/rX+r/6k/or+aP5Q/lD+XP5e/k7+Ov4v/i7+Kf4e/hL+DP4L/gv+Bv38/e793v3R/cj9wP24/bH9q/2k/Z39mf2a/Zz9m/2Y/Zf9mP2Z/Zn9mf2b/Zv9mP2V/ZX9l/2Z/Zr9mv2b/Z39o/2r/bT9uv29/cH9yf3W/eH96f3x/fz+Cf4U/h7+Kv47/k7+Yf51/on+nf6s/rX+vP7G/tf+6f76/wn/F/8m/zj/T/9o/4P/nv+3/87/5gADACgAUgB+AKoA2AEKAT8BdAGnAdYCBgI9AnsCugL2AzkDhwPdBDEEfwTOBSEFcQWwBdcF6wX3BgEGAAXbBYYFFgS7BJ8E0AVVBisHQghwCY8KlAuKDHENRA4MDtQPjRAdEH8Q0REmEW8RlRGgEZ8RjhF1EX4RwxIBEcMQ6A/VDwIOew3zDUAMdQuiCrgJvgjpCFQH2AdQBukG/AeVCFMI0QkECRoJKgkmCQkI8QjzCPoI5giuCF0H+Qd+BvcGewYUBbQFSATWBHAEEgOnAyoCuQJyAkwCIgHfAY0BQAD8ALkAcwAs/+b/p/93/1b/NP8D/sb+jf5g/kD+Kv4b/gf94v2z/Y/9ff1k/Sj80vyD/E78Jfvy+637YPsh+v/6+/sB+vr64/rJ+rD6j/pg+jH6Fvoe+kL6efqz+un7GPtF+2n7cvtc+z77OvtR+3D7jPuy++r8JPxL/Fz8ZPxq/HT8jfy5/OD84/y5/Hn8LfvM+1n7APrv+yX7cvu0++z8I/xU/HH8gvyX/LH8xfzN/NP84fzx/Pz9Av0L/Rb9I/0w/T39Sf1P/U/9T/1W/V/9Yf1b/VL9S/1H/UD9Nf0r/SL9Gf0N/QH8+vz4/Pj8+f0B/RP9LP1I/WX9hP2k/cX95v4J/jL+Xv6L/rb+3v8B/x//Ov9Y/3v/ov/G/+gACwA0AF4AhwCvANkBCAE4AWQBjAG0AdcB9gITAjMCVAJvAoMCmAK0AtEC6AL+Ax0DQwNeA2cDagN6A5kDtQPHA9cD7wQJBB0EKgQ3BEQESAREBEQEUgRmBHcEhQSaBLIEwgTHBMoE0gTXBNUE2QTzBRwFNAUrBREFBQURBR8FIgUeBR8FJwUuBTMFOwVIBVgFZAVuBXgFgwWNBZYFmwWcBasFqQWqBa0FsQW0BbkFvwXDBcUFxwXLBc4FzgXOBdAF0wXUBdEF0AXWBeEF7wX7BgMGCgYPBhMGFQYXBhsGIAYoBjEGPAZKBlsGcgaPBq4Gzgb7B0YHtQguCIYIpwioCK0IxwjrCQ0JKwlHCVYJTwk6CR0I+AjFCIgIUgguCBUH+wfZB7IHiwdmB0UHKAcMBuwGyAajBn0GWAYzBg0F6wXLBakFeQUzBOIEmgRsBFUERwQ0BBYD7gPCA5wDfwNjA0MDIwMIAucCuAKFAmgCbgKHAp4CrgKxAosCHQFuALEAE/+k/2T/Xv+W/+0AKwAvAAr/4f/B/57/af8m/uP+n/5L/dr9UvzG/Er76/uy+6b7vvvi+/b76fvB+5H7c/t4+5b7sfuo+3f7NvsB+uD6zPq8+rH6tfrN+vD7Afrl+pr6N/nU+Wn46fhu+DX4YvjV+Tv5XflH+TT5UPmW+d76CPob+jb6afqd+rX6q/qS+nj6W/pC+kn6i/r/+3374/wz/H78yPz0/Nv8c/ve+177Fvrt+qb6Kfmg+Uj5K/kl+RP4/fj4+QD5Afj1+Oj44PjX+Mz4zfjk+QD5DfkL+Qf5Afjy+Nv4xviv+Ib4T/gr+Cr4OPg7+Ev4lvkb+ZX5wvmX+Tj4x/hW9/33z/fB97b3oPeN94L3bPdB9xD29vbt9t32ufaS9nf2aPZc9lL2SPY39hz1/fXe9bn1ivVU9SH08vTE9JP0XfQe89Hzf/My8u7ysPJ18j3yB/HN8YvxRvEE8MXwiPBP8Brv5u+z74LvUe8g7u3uve6R7mbuO+4X7f7t7+3i7dPtwe2q7YrtZ+1G7SftAuzZ7LDsjOxo7EPsHev769rruuuc637rWOsg6tzqnepw6lTqQOot6hbp/eno6dbpvumf6YrpkOmr6cXp0OnW6eTp/+os6nDqyusr64TryOvY643q7+pU6hzqTeqQ6p/qjOqN6qbqtuq56tXrFOtV63frh+uc667rsOu/7AbseOzJ7LnsXOwB6+bsGOx/7PbtUe117XLtee2n7ejuHe5D7nHuqe7S7uDu7u8j73fvuO/I77nvt+/T8ALwNvBt8Kfw3fEP8Ubxh/HL8grySfKO8tLzCPMy817zlPPO9AX0PPR69L/1CPVV9ab19fY99n/2wfcF90X3f/e19+z4Jfhg+Jz43Pkl+Xv51von+mb6nfrj+0f7wvxA/J78xfy7/LD83/1S/dH+Ff4K/d39xv3c/hT+Vv6L/qb+s/7b/0X/9wDIAZACQgLmA4cEIASlBRMFcAXNBjIGnAcBB1sHqQftCCwIbQi1CQgJWwmdCcEJzQnSCeQKEgpgCsMLJQt3C7gL9AwvDGQMkQy5DOEM/AzzDL8MewxNDEkMZwyaDNwNKA1rDZQNpg20DdIOBA5CDoIOvA7pDwcPFw8eDykPSQ+JD+AQOhCJEM8REhFREYgRsxHTEeQR7xIFEi4SZRKbEs0TCBNNE5ATxhPuFBAUKRQ5FEcUXBR5FJQUrxTTFQgVSRWUFeUWLxZnFooWrBbdFx0XXBeUF8kYABgzGFYYYBhKGBQXyBd9F0sXQxdnF6QX3Bf6GAIYCxgmGE8YdxiWGKgYrBimGJ4YnhinGLAYrBiTGGYYMhgIF/IX6xfsF/IX9xfwF94X0xfkGAYYGBgIF+oX2BfSF80XyRfRF+EX4RfFF5wXfBdvF3MXgBeHF3YXUhc1FzIXNhciFvsW7RcfF3oXuherF10XDhb0Fw4XMhdAF0EXUBdoF2wXUxc4FzYXQhc/FyUXAxbwFwgXbhg0GSEZzxoEGegZ0BncGfAZ8RnrGeoZ5RnNGawZkRl5GVgZMhkTGPcY0xinGIUYbhhPGB4X6xfHF6kXgBdTFzYXIxb9FrkWchZNFkgWPxYTFdAVmRWCFYEVfBVmFUEVDhTIFGwUDhPKE6wTnxOAE0YTBBLWEsESshKZEnkSYRJTEkQSMBIgEhgSChHpEb8RohGVEXgRLhCdD5sN/AvcCdwIxgjgCawKcArfCyALUwtaCxYKpAo7CecJkQkzCOAImAhDB9YHawcdBukGvQaVBnAGSQYYBeQFugWZBXMFQQUNBOIEwgSoBJUEjASLBIoEhAR2BGEERAQkBAQD6QPXA8kDuQOdA3sDXANHAzcDJgMQAvYC2QK/ArACrAKqAqEClgKKAncCYAJVAl8CbwJqAlQCSAJMAkcCIwHzAdoB3gH4Ai0CiQLtAxkC4QJaAcQBTwEKAOwA3gDCAIoATQAlABD/7v+v/2L/Iv71/tj+0v7q/xn/Qf9Q/0b/Mv8i/xv/Gf8T/v/+4P67/pP+Z/45/g395/3J/bL9nf2E/WX9TP1E/Uf9RP0y/R39D/z//OL8vPyZ/H/8ZvxM/DP8HPwA++H7yvvB+7/7uvu0+7L7s/u1+7b7ufu9+7/7wfvH+8r7xfu++8H7z/vd++P75/vy/AH8CvwN/BP8Hfwl/Cj8K/wy/Dr8QPxG/E/8W/xm/G/8efyE/I78lvyh/K/8vfzJ/NX84/zw/Pz9BP0O/Rv9Kv02/UH9T/1g/XL9gf2O/Zr9qf26/cv92v3m/fP+AP4M/hj+Jv43/kn+Wf5m/nP+gf6Q/p3+qf61/sP+z/7Y/t/+5f7s/vP++v8C/wn/DP8O/xD/Ef8Q/w//Dv8P/w7/Cf8D/wL/Av8B/vz+9v7z/vD+7f7p/uP+3f7W/s/+xv69/rX+rP6b/oD+af5q/of+pP6i/n/+Vf48/jX+M/4t/ib+H/4a/hP+Cf37/en92f3O/cj9wv27/bT9r/2q/aT9oP2g/aH9oP2e/Z79ov2j/aL9o/2n/a39rf2o/aT9pv2r/a/9sP2x/bP9uf3B/cn90P3V/dr94P3q/fb+Av4L/hT+Hf4n/jL+QP5S/mX+d/6K/p3+sf7B/sv+0/7d/ur++v8M/x3/Lf8+/1H/Zv98/5P/q//F/+H//wAgAEUAbQCXAMEA7AEaAUwBggG3AeYCFAJLAowC0AMOA0oDjwPiBDoEjQTXBRsFYAWiBdkF/AYKBg8GFQYQBesFogVFBO8EtASoBOcFfAZWB1EIVwliCnALegyBDYUOcA8rD7YQMBCuER4RaRGMEZYRiRFwEXARoRHQEasRHxB5EAYPtg9JDrAOBQ1BDDIK3wmnCNkIXAfnB3kHXwe+CFEIugjjCPMJAgkCCOsI0wjNCM4IwgikCHkINgfLB0QGwQZTBecFbQTtBIMELgPWA20DBgK6AoYCUQINAb4BbgEeAM4AggBAAAP/y/+a/2//Q/8N/tT+oP54/lr+Rf4t/gL9xf2R/X/9gf1o/RX8ofw9/AD72fux+3/7Tvso+xX7E/sT+wj67vrL+qP6d/pN+jD6Jvos+j/6Z/qh+uT7JPtY+3X7bftE+x37HvtC+2f7ffuY+878FfxQ/Gz8bfxl/Gn8jfzA/Mv8g/wF+6D7g/uS+5n7jPuI+6D7xvvm/Ab8LPxS/Gz8fvyS/Kj8ufzG/NT86Pz5/QP9DP0Z/Sj9Mv05/UL9T/1a/V/9Yf1m/Wr9af1i/Vn9UP1H/T79Nv0u/SX9F/0J/QD8/vz+/Pz8+/0B/RH9Jv09/VT9cP2R/bX93P4G/jP+YP6O/r3+6v8S/zH/S/9n/4j/q//M/+wADwA5AGYAkgC8AOcBFAFCAW0BlAG2AdYB9AITAjUCVgJwAoACkwKzAtoC/AMWAzMDVANtA3YDeQOIA6YDxQPaA+kD/QQSBCEEKgQ2BEQESwRGBEQEUARmBHsEiwScBLMExwTSBNcE3QTlBOgE6wTzBQEFCwULBQkFDQUXBRwFGwUZBR0FIwUoBTAFPQVQBWIFbwV7BYgFkwWcBaMFqQWsBb8FvQW/BcYFzQXSBdYF2gXcBdsF2wXfBeMF5AXjBeQF5QXlBeIF4wXtBfsGCgYYBiYGMQY2BjYGNAY2Bj0GQwZJBlEGXQZtBoEGlwaxBssG5QcOB10H1QhQCJkInwiICIgIrAjcCQMJIglBCVQJTgk0CRYI/QjfCLQIhAhaCDgIFQftB8QHmwd1B1IHMwcWBvcG1gazBpEGcgZWBjgGGQX5BdMFnQVRBPoErQR8BGYEWQRJBC4EDAPnA8UDqAOLA2oDSAMmAvwCxwKUAoAClAK+AuYC+wLtAqACBwE7AH3//P+2/5f/nP/MABcAVQBsAGkAaABuAGQANf/m/4n/Jv62/jP9oP0M/Ib8G/vX+8D70fv1/A37//vL+4v7Zftq+4f7mvuT+3v7avtf+037J/r5+tn60/ro+wP7CPrg+o36MPnk+Z35PfjL+IH4mfkI+YD5ufmx+ab5y/oX+ln6cPpy+oz6z/sa+0H7Pvsj+wL64PrF+tD7G/uY/BX8Z/yR/LX84vz7/Nf8bvvq+4L7QfsD+qH6Hfmj+Vr5Qfk6+TL5LPkv+TT5Mfko+SH5G/kS+Qn5Dvki+TX5N/ky+TL5NPkq+RL49vjX+Kz4ePha+GH4d/iH+KL48flp+cb5z/mM+TD42/iN+E34LPgm+B/4Bffl98/3uPeT92b3Rvc29yH2/vba9sT2u/a09qv2oPaP9nX2VfY09hD15PWz9YP1WPUv9P/0wvR59Cjz2vOT81TzGPLd8qXycPI48fjxtvF08TXw+fDA8IrwVfAg7+3vuu+G71LvIu727svuo+6F7nfube5d7kHuIe4C7ePtxO2m7YXtWu0p7Pvs2ey+7KDsfuxY7DDsCuvp68nroOtp6yvq9urQ6rjqo+qM6nDqU+o56iHqBOnl6dXp4uoB6hzqJuos6jnqUep66r7rGut+69bsFewd68vrK+qQ6lPqeeqw6rrqruq66trq6Orj6vXrLetl63/rh+uW66rru+vm7Efsu+zu7LXsQ+vy6+/sK+yG7OjtM+1S7VPtX+2T7djuDe4v7lfui+6x7r3uyO7270Xvi++m76Dvm++p78vv/PA28HTwrPDg8RvxXvGj8eLyIPJj8qby3PMJ8zfzbfOn89z0EPRL9JD02PUh9Wj1rvXz9jf2eva79vr3N/dz96736Pgm+Gr4sfj4+UL5kvnj+ir6Zvqm+v77dfv5/GT8mvyd/Jv8yv0u/Zb9xv20/Yz9gf2l/en+Of58/p/+qP7A/x3/zgCuAYICMgLOA2gD+gRxBMkFEwVlBcQGKQaLBuoHRAePB8kH/gg/CJEI5wkuCV8JfQmQCaUJzQoSCmkKuwr/CzwLgAvLDA8MSAyBDL0M5AzXDJMMPwwNDBEMPwyADMgNDQ1EDWQNcQ19DZgNyA4DDj8Odw6lDscO1g7WDtoO/Q9JD64QEBBgEKMQ4REZEUgRbhGMEZ4RqBG8EegSJRJeEpESyxMSE1wTmxPOE/YUERQfFCsUQBRaFG8UghShFNMVEBVUFaEV8RYzFlwWexakFt0XHRddF54X3xgUGDAYNhgnGAIXwxdyFy0XEhcsF2cXnxe9F8UXzBfiGAkYOBhlGIQYjBiAGHEYchiGGJ4YqBiXGG0YORgNF/MX6RfnF+oX7RflF9IXzBfoGBkYOBgsGAQX2Re2F5kXixeWF6cXoRd/F1sXSRdFF0MXRxdSF1EXNhcOFvMW5RbVFsYW2xciF3AXhxdXFw8W7xcLF0AXYRdfF1QXXRd3F4QXeRdsF3AXfRd4F04XABacFlAWZxcYGDgZRhncGf0Z9Bn1GfsZ9xnxGfIZ7RnYGbwZphmQGW8ZShkuGRcY8hjCGJ0YhhhnGDMX/hfeF8kXqBd8F1cXNxcEFrsWfxZzFokWihZQFe8VmxV0FWwVXhUwFOcUmRRTFBcT5hPFE7kTtBOeE2sTKhL1EtkSyxK8EqgSlRKGEnYSYxJQEkASMBIaEgMR7hHXEbARbRDvD/EOOAv3CfII+gk4Cg0KuAr8CxQLMws8Cw4KtgpeCg4JtAlTCPsIrAhQB+EHeQctBvkGywaeBncGTwYiBfQF0AWwBYQFSAUKBNoEuAShBJQEkASQBI0EhwR9BGwEUAQqBAID4wPTA8wDwQOnA4ADWAM7AyYDFAMCAu0C0wK3AqMCnAKcApsClQKHAm4CUQJAAj8CPwItAhMCDQIbAh8CAQHUAbgBtAG/AdsCGAJoApcCfQIjAbUBXAEwAS4BPQEuAOwAiwA9ABL/9f/I/4f/Q/8K/uD+zv7W/vL/Df8X/wf+5v7F/rb+uP6+/rj+p/6S/nr+WP4r/fr90P2x/Zj9f/1i/UP9Lf0m/Sn9JP0W/Qj9A/z8/Of8xvyl/Ij8bPxO/DT8IPwJ++771/vL+8P7ufuv+6v7rfuv+7D7svu1+7b7uPu8+737uPuy+7X7wvvN+9D70/vd++r78vv1+/z8CPwS/Bf8Gvwh/Cr8Mfw5/ET8UPxd/Gn8dfx//Ib8jvya/Kr8uvzJ/Nj86Pz2/QD9Cf0U/SP9Mf09/Un9Vv1m/Xb9hv2S/Z79q/28/c393f3q/fj+Bv4T/h/+Lf4+/lD+Yf5u/nv+iP6V/qH+rf67/sn+1f7f/ur+8/76/v//Bv8P/xb/GP8a/xz/Hv8e/xz/Hf8e/xz/Ff8Q/w//D/8N/wj/Av7+/vr+9/71/vP+7P7i/tb+yv7A/rr+tP6o/pP+hP6L/qf+u/6v/of+X/5K/kX+Rf5B/jr+Mf4m/hj+Cv36/en92/3U/dL9z/3I/cD9u/22/bH9rP2q/an9qP2o/az9sf2y/a/9rf2x/bj9vf28/bn9u/3B/cf9yf3L/c790/3W/dr94f3p/e798v36/gf+F/4l/i7+NP49/kr+Wv5s/n7+j/6g/rD+v/7M/tn+5v70/wH/D/8f/zD/Qv9V/2r/gP+T/6X/uf/T//QAGAA9AGIAhwCvANkBBAEuAVoBjQHCAfUCJAJXApYC3AMhA2EDowPwBEYEmQTfBRYFSAWABb4F9AYSBhwGIQYqBikGDgXVBYUFJwTNBJYEoAT4BZUGagdqCIMJoQrAC+QM/w33Dr0PYA/4EIoRBxFiEZMRlBF3EWgRgxGpEZwRVhEWEQIQ9BCwEDoPug8dDhwMrwtCCkcJuQk7CKsIQwg8CHoIswjKCNQI4AjgCMwIswijCJQIggh0CGsISgf0B3YG+AaOBiMFnwUTBKEEUwQRA8IDaQMUAskCfgIxAeIBjgEzANoAjgBSAB//7P+2/3//Rv8P/t7+tf6S/nX+Xv4//gn9vv2E/XX9ev1a/Pj8cfv8+7L7h/tm+0n7Mfsj+x77Ifsj+xj6+vrM+pb6ZvpK+kb6TPpM+k36Z/qi+uv7LPtZ+237YPs5+x77L/tj+4z7l/uc+778AfxI/HP8dvxi/Fr8gPy8/MT8Yvu++0v7T/un+/r8FvwO/AX8CPwR/CL8OvxW/Gz8ffyP/KH8rvy8/ND85/z5/QX9E/0n/Tn9Qv1E/Ur9Vv1k/W79dP13/Xj9dP1t/WP9WP1L/T/9OP00/Sz9Hv0P/Qr9Df0Q/Q39Cf0L/Rf9J/04/U39Z/2F/aj90f3//i/+Xf6L/rz+7f8W/zT/T/9s/4z/rP/J/+cADAA2AGYAlQDDAPABHQFJAXMBlwG4AdcB9gIWAjkCWgJxAoAClAK3AuYDEAMvA0oDZwOAA4wDkAOcA7YD0gPnA/UEBQQUBB0EIwQtBD0ESQRMBE4EWgRyBIoEmQSmBLgEzATcBOYE7QT0BPkE+wT7BPwFAQUJBRIFGQUaBRYFEwUWBR4FJQUrBTYFSQVfBXAFfAWJBZgFpAWrBbAFuAW+BdMF0QXSBdkF4gXpBewF7wXwBe8F8AX0BfkF+QX1BfMF8gXyBfIF+AYFBhYGJgY2BkYGVAZbBloGWAZbBmIGZwZqBnAGfwaSBqMGsgbFBtoG8QcXB2QH3QhZCJ0IlghzCG8ImgjWCQQJJwlNCWkJaglPCTAJHAkLCOwIvgiNCF8IMQgDB9kHsweNB2YHQQchBwUG6gbOBrEGlAZ3BlsGPwYgBfgFvwVxBRkEzASaBIAEcARcBEEEIgQFA+kDzAOrA4IDVgMtAwUC3QK7ArACxQLuAxIDFgLlAnABwAEBAG0AHgAB//P/7f//AC4AZQCOAKUAtwDEAL0AlwBT//j/jP8R/oj99f1b/Mb8Svv5+9v74/v6/An7+/vQ+5z7fvuA+477j/uF+4j7qfvP+8/7m/tN+wv67Prt+vn69/rR+or6P/oI+dj5j/kp+Nr44flF+b/6AvoC+fn6I/p4+sD61frQ+uT7JPtx+5/7ovuP+3X7WvtK+2P7u/w8/K/86Pzx/PX9Cf0S/Of8g/wP+7L7Z/sM+pH6Dvmr+Xj5Z/le+Vb5VPlZ+V/5YPle+Vz5V/lO+Uj5T/lf+Wb5X/lW+Vr5YPlX+Tn5Fvj2+ND4pfiH+IT4jvid+Mv5OfnJ+iX6Efmo+Tn49PjN+LH4n/iW+Ib4ZPg9+CL4Dvfu98f3p/eS93v3W/c99y33I/cW9wX28/bg9sj2qvaL9mr2QvYU9ef1wPWY9WX1I/TW9If0PfP787vzfPM/8wjy1PKd8mLyJPHm8arxcPE28PzwwfCI8FPwIO/r77fviO9d7zTvD+747u/u5e7N7qbufO5Z7jzuIe4F7eHtsu177UztLe0Z7QLs4ey37IfsW+w17BPr7Ou664PrVes06x3rBerp6snqqOqK6mzqTeo16jHqSupt6oPqheqA6oPqleq86wHrYuvK7CXsXexX6/rrV+rB6obqo+rN6tXq0urs6xLrG+sJ6w7rPOtx64fri+uZ67br4ewn7Izs5Ozo7I3sHevo7ADsQOyL7NbtE+0z7TztUu2L7dHuAO4a7jnuZ+6O7p/ure7X7x7vYu+F74zviu+R76fvz/AI8EjwhfC98PnxO/F+8b3x/PI+8n3ys/Li8xHzRvN987Lz6PQm9Gz0tPT49Tf1dfW19fj2O/Z79rf29fc193L3rffu+Dj4hPjH+QX5SfmY+eT6JPpf+rD7JPut/CP8Y/xv/G78ifzG/QT9IP0Z/RD9Jf1c/an9/f5K/n7+lv6x/wX/rQCKAWQCFwKuAzwDvQQgBGQEogTxBU8FrAYEBmEGwAcRB0oHewe4CAgIXAimCOgJIQlOCW8JkwnHCgYKQQp3CrYLBgteC64L9wxGDJUMwQynDE8L7wvBC9gMHAxtDLYM8Q0cDTUNQA1IDV0NhQ26DfIOJw5XDn4OkQ6QDpIOtw8KD3YP2hAqEG4QrBDfEQQRIhFCEVwRbRGCEaoR4hIbElASixLRExwTYROeE9IT8hP8FAEUEhQrFD8UURRuFJ0U1RUQFVQVoBXkFhUWPBZsFqoW7BcwF3kXwxf5GA0YBxf2F94XsBdoFxsW7Rb0FycXYxeKF5oXoBexF9IYBBg8GGYYchhlGFQYVRhpGIEYjBiBGF8YLxgAF98X0BfOF9QX1xfLF7QXrxfQGAgYLBghF/YXyBegF4EXcxd4F3gXWhcuFxwXKhc1FyMXCRcHFxYXFBb3Fs8WqxaPFokWtBcJF1IXUxcUFtgW1RcHF0EXXhdgF10XZxd6F4YXiReLF5IXlxeJF1kW+BZjFcsVnxY8F4YY5BnFGg0aChoCGgIZ/hn5GfgZ8RndGcYZtxmmGYQZWRk5GSIZARjXGLUYoBiBGEsYEhfvF98XxReYF2gXOhcDFsUWnBaiFsAWvRZ6FgwVqBVxFVoVPRT6FJUULxPmE8ETtxO7E8ITwROrE3oTPhMMEu8S5BLcEs4SvRKtEqESlRKEEmwSVhJLEksSRBImEfMRsxE9EDUOVwv3CfkJLQmZCn8LFgswCxoLEwsPCu4KswpyCisJ0AlrCQ8IvAhgB/cHkwdGBwsG1wapBoEGWgYvBgYF4gW9BYkFRwUHBNcEuQSrBKsErwSsBJ4EkASHBHwEYgQ2BAgD5gPXA9IDxwOqA34DUgMvAxYDAgLxAuECzQK1Ap8CkwKRApECiwJ6Al0COgIfAhACBAHvAdgB0QHYAdUBugGWAYIBfwGAAYYBnQHFAeQB4gG9AYkBYQFeAYoBxwHUAYcA+wB2ACgABf/l/7T/ef9I/yT/Cv74/u3+6/7o/tX+rP58/lz+Vv5d/mD+XP5V/kn+MP4L/eT9wf2f/X79X/1E/Sz9F/0J/QL8/Pz0/O/87/zt/N78xfyr/JH8c/xU/Dn8JfwS+/z76Pva+837vvux+6z7rvuv+677rPur+6v7rfuw+7L7rvuq+677ufvB+8P7xPvN+9f73vvh++j78/v9/AH8BfwL/BX8IPwr/Df8QvxO/Fz8avxz/Hn8gfyQ/KP8tPzD/NP85Pzx/Pv9Bv0W/Sf9Nv1D/U/9Xf1r/Xr9iv2Z/aX9sP2+/dD94f3w/f7+Df4c/ij+Nf5G/lj+aP52/oP+j/6b/qb+s/7C/s/+2P7j/vD+/P8D/wj/D/8Y/yD/I/8k/yf/Kf8p/yj/Kf8q/yf/If8c/xr/GP8T/w7/Cv8G/wD+/P77/vv+9v7q/tv+zv7G/sP+xP7B/rX+p/6i/qX+of6P/nX+Y/5f/l/+W/5T/kr+Pv4u/h3+Dv4C/fX96f3k/eT94/3c/dH9yP3C/b39uP21/bT9tP23/b39wv3C/b79uP25/cD9yP3M/c790f3X/dz94P3k/en97f3u/e798/39/gT+CP4N/hn+K/48/kf+Tf5X/mT+dP6D/pL+o/61/sT+z/7a/uf++P8J/xj/J/82/0f/Wf9s/4L/mP+r/7v/z//qAAwAMgBYAHwAnwDFAO8BHAFGAW4BmwHPAgUCNwJpAqIC5gMwA3gDvQQFBFEEngThBRUFOwVkBZsF1gYDBhsGKAY4BkgGSQY2BgwFyQVrBP4EnwR0BJkFHgX3BwEIFAkmCkULeAyfDZUOUQ7yD5oQUhD+EXMRlhF5EVsRaRGQEZwRiBGFEawRzRGqEU0Q6RB6D7kOiw1EDEgLnwr3CioJawj6CNUIygi+CLkIvgjACLgIrQifCIcIZwhXCFcIRgf9B4kHFga2BlIF0QVCBM8EhgRSBBcDygNwAw8CsQJZAgcBrgFNAO8AowBrADoABP/G/4L/P/8J/uP+xf6i/nz+W/45/gX9vf2A/Wj9YP03/NX8VPvg+4z7U/st+xX7CPsF+wv7G/sq+yn7Dfrc+qT6e/pv+nn6g/p9+nX6jfrI+wz7Pvtc+2v7aPtW+1H7cvus+9P70Pu7+8L78vw3/G38e/xm/FX8dfy5/Nv8nfwe+8T70vwl/GT8Yvw7/CT8MPxQ/G/8gvyF/IL8hfyR/KH8r/y//Nb87/0D/RL9I/04/Un9UP1S/Vj9Zf1z/X79hv2L/Yr9hP17/XH9ZP1V/Uf9P/08/TT9Jv0Z/RX9G/0f/Rv9Fv0W/R39J/02/Uv9Zf2A/Z79wv3w/iD+UP6B/rX+5/8P/y3/R/9l/4T/of+8/9wAAgAuAF8AkgDEAPMBIAFMAXQBmQG5AdkB+gIbAjwCWwJzAoUCmgK8AusDGAM3A08DZwOAA5EDmQOkA7kD0QPlA/MEAAQNBBcEHQQoBDkESgRXBGEEcASHBJ8EsAS9BMoE2gTpBPQE+QT7BP0E/QT8BP0FAQUKBRIFFQURBQsFCwUSBRwFJQUuBT4FVQVsBX0FigWZBasFuQW/BcMFygXRBeUF4wXiBecF7wX2BfoF/QX/BgAGAwYIBgwGCQYDBf4F/gYBBgYGEAYgBjIGRAZWBmgGeAaBBoMGhQaIBowGjAaKBpAGngauBrkGwgbSBugHAQchB2EHzAhDCIsIjAhuCHEIpwjvCSQJSglxCZUJnwmKCW0JVwlDCR8I6givCHYIQQgQB+gHxgekB38HWQc6ByIHDwb7BuMGxAahBn8GYwZHBiAF5QWXBUAE9ATABKMEjwR3BFgEOgQhBAoD7gPHA5IDWQMpAwwDAAL4AvMC9QL/AwQC5wKVAhEBdgDtAJYAcABgAE0ANwAxAEwAfgCxANYA6wDzAPAA3gC2AG4AB/+K/wP+cv3P/SL8jvwy/BL8Fvwe/Bn8A/vg+777q/ur+637o/uZ+7H78fw1/EX8C/ul+0L7A/ro+uP63PrA+ov6Ufol+gT50vmE+T/5PPmO+f36P/o/+jL6WPqz+w37M/sz+z77bfut+9r76/vs++b73Pve/Aj8avzm/UX9Y/1S/UL9SP1I/Rz8vfxM++T7e/r/+nb6Afm8+aL5mfmM+X75efl++Yf5jvmP+Yz5hfl8+Xr5hPmQ+ZP5ifmA+YP5ifl8+Vv5NvkZ+P343fi++Kr4m/iX+MT5Qfnr+lz6S/nU+Vf5F/kN+RD5C/j8+OH4uviU+Hr4ZfhJ+Cj4Dvf89+X3yfev96H3lfeB92X3TPc39yH3B/br9sv2pPZ39kz2JvX89cX1gPU09Or0pfRi9B/z3fOh82vzOfME8svykfJY8iDx5vGp8WvxLfDy8LvwhvBQ8Bzv7u/G76Hvgu9v72PvUu8x7wPu1u6z7pbufe5i7j/uDO3T7aPth+127WHtPe0N7Nvsq+yC7F/sOewM693rs+uU63nrXOs86xrq+OrX6rfqm+qP6pzqvurg6ujq1uq/6rfqx+rx6zrroOwR7HHspeyR7CXrf+rv6rjqz+ry6vrrAusm603rSuso6yDrR+t765Lrleun69bsGuxq7Ljs3Oyx7Evr9evo7BnsWOyR7Mjs++0b7S3tTe2K7crt8e4C7hruRe5v7ojunO7D7v/vPO9l73jvf++F75Hvre/d8BzwXfCa8NfxF/FY8Zjx2fIa8ljyjvK/8vDzIvNU84jzwfQB9EX0i/TO9Qz1SPWF9cT2A/ZA9nv2ufb69zn3dve5+AX4UfiR+Mj5BflP+Zr52PoO+ln6yvtR+8f8C/wh/Cb8N/xZ/H38lfyn/MP89f03/X79xv4M/kn+d/6p/wf/qgB9AVAB/QKKAwYDcgPBA/cELwR/BN4FNgWFBdgGMQaABr4G9wc9B5AH4QgpCHIIvAj7CSgJTAlyCZoJvwnqCiwKhQrlCz0LlQv1DEsMbQxBC98LhwtvC6EL/QxcDKUM1wz2DQcNDQ0RDR0NOg1oDZ0N0g4EDjAOTA5UDlsOgQ7SDzYPkA/aEB0QWxCJEKgQxhDxER4RPhFWEXcRpxHeEhgSWBKdEuITJBNmE6ETxRPME8oT1BPqE/4UDxQsFFwUmBTTFRAVURWMFb0V7xYvFnsWxRcJF1MXnxfWF+QX0Re7F6sXkhdcFw4Wyxa5FtsXGRdQF3AXfReLF6cX1xgPGDoYRxg9GDMYNRhAGEYYRBg5GCQYARfYF7YXoheeF6UXqRedF4cXgxekF9kX9xfrF8UXoheGF28XZBdfF0cXEBbhFuwXJBdCFxwW2hbBFt0W/xb8FtgWpRZ1FmAWgxbZFyYXNBcMFukW8RcWFzcXSRdXF2UXbxdzF3YXgReRF5kXkRd8F1IW+BZWFZwVThXiF0EYwhm3GgIZ+xn4GgYaDRoIGgEZ9RnfGcgZvBmwGZEZZBk/GScZCxjnGMgYtBiYGGUYKhgBF+oXzhehF20XPRcLFtkWtxa3FsgWxBaRFjkV3RWWFWUVMhTlFHwUDRO5E5ATjhOjE7wTxROyE4QTTBMfEwUS+xL1EuwS3hLTEs4SyxK9EqASgxJ7EoQSgxJkEjQR+hF+EE4OOQu5Cc0JNgnRCsoLXQtnCzcLDQrvCssKowp4Cj0J5Ql9CR4IzQh3CBUHswdgBxoG4AavBoYGXwY1Bg4F6QW+BYYFSAURBOgE0wTTBOUE8wTnBMMEoQSSBIgEbwRCBBID7wPeA9EDvQObA3ADSAMqAxMC/gLrAtsCzAK6AqgCnAKVAo4CgQJsAlACLQILAfAB3wHTAckBwQG3AaABfgFgAVEBTgFKAUYBSQFVAWUBcAFyAWkBYwGAAdMCPAJoAhwBcAC/AFEAIQAA/87/kv9k/0f/Lf8I/t/+xf67/q/+j/5e/jX+IP4b/hn+F/4T/gj98/3c/cz9uv2X/WX9PP0q/SH9EPz1/N380vzR/NP81vzU/Mv8uvyn/JH8d/xc/EP8L/wc/Aj79vvn+9n7yPu7+7T7s/ux+6v7pvui+6H7ovum+6j7p/um+6v7tfu8+777v/vF+8370/vW+9z75Pvq++377/v1/AD8Dvwd/Cj8MPw6/Ej8V/xg/Gb8b/yA/JT8pfy1/Mb81/zk/O78/f0R/SX9Nf1D/VL9Yf1t/Xv9jP2e/av9tf3C/dP95v32/gX+Ff4k/jH+Pv5O/mD+b/5+/ov+mP6k/q/+vf7L/tb+3f7n/vX/Af8J/w3/Ff8e/yb/Kf8r/y7/L/8u/y7/L/8w/y3/KP8l/yP/Hf8V/xD/Dv8L/wT+/v78/vv+9v7r/t7+0/7M/sr+zP7O/sj+vP6r/pn+h/52/m/+cv53/nT+af5c/lL+Rf40/iP+F/4O/gT9+v30/fP98/3s/d/90/3L/cj9x/3F/cP9xP3H/cz90P3Q/cz9xv3E/cj90v3b/eD95P3p/e798v32/fz+A/4G/gj+DP4V/h7+I/4o/jP+Q/5U/l7+Zv5x/n7+i/6V/qL+s/7H/tj+5f7w/v3/C/8b/yv/O/9N/17/b/+B/5T/p/+7/8//5wAFACgASwBwAJMAtADXAQABLwFcAYQBrQHcAhMCSgJ/ArYC9QM8A4cDzwQSBFMEkgTPBQUFMQVYBYQFtwXmBgoGJQY/BlYGYwZlBmEGTgYbBbkFNwS9BH0EoQUwBggG+AfsCPQKHwtPDFENEA2uDmkPWhBdEScRgRF2EVERVRF8EZcRlhGfEdASAxH4EagRRhDrEHEPuQ7fDhoNZgyWC50KrQn4CXwJGwjLCJsIjAiRCJ4IsAi7CKsIhghpCGIIUAgPB6MHNAbTBnAF9wV2BQ8EygSWBF4EFgO8A1QC6wKMAjYB2wF2ARUAxgCJAFIAFv/P/4L/OP8B/uL+yP6e/mj+N/4P/eH9pP1q/Un9M/0I/Lf8Tvvm+4n7PPsF+uX61vrW+uj7Dvs0+0H7K/r/+tX6vfq8+sb6yfq9+rr61vsP+0b7Zvt4+4f7kfuS+5r7v/v0/BT8Cvvr+9379Pwn/Fv8dvxw/GL8efy4/PH87/y+/Jz8rfzK/LT8ZvwZ/Az8S/ys/PX9Avzd/Kn8i/yP/KP8uPzO/Oj9A/0Y/Sn9Of1L/Vf9XP1g/Wr9eP2E/Y79l/2f/aD9mf2M/YD9dP1n/Vn9Tf1F/Tz9L/0i/R79IP0i/SD9Hf0d/SL9K/04/U79aP2B/Zn9t/3f/g7+QP51/q3+4f8J/yb/Qf9d/3n/kv+t/8//+AAlAFYAigC+AO4BHAFIAXEBlQG2AdcB+AIZAjgCVwJzAosCoQK/AucDEAMtA0ADUwNqA4ADkQOgA7QDyQPbA+kD9gQGBBUEIwQwBEEEVQRpBHoEigScBLEExQTWBOIE7QT3BP0E/wT8BPkE+QT6BPwE/wUCBQUFBQUFBQUFCQUQBRkFIgUuBUEFWgV0BYgFmAWrBb8FzgXUBdYF2wXiBfgF+gX5BfsGAAYFBggGCwYNBhAGEwYYBhoGFwYRBg0GEAYXBiEGLQY9BlEGZgZ6BowGnAanBq8GtQa4BrcGsgatBq4Gtga+BsUGzwbjBwAHGgcxB1sHrwgbCGsIgAh3CIoIzgkgCVkJewmdCcEJ1QnMCbMJlwl1CUAI/Ai3CHgIQAgOB+cHygewB5UHeQdiB04HPgcwBxwG/gbYBrQGmAZ8BlIGEQW/BWcFGQTjBMMEsASYBHgEVgQ7BCYEDQPnA7ADcgNCAzEDPANIAz0DHQL1AsoCiQIoAbYBUgERAPEA3ADBAJwAewBvAIMArwDgAQUBGQEkAS8BOAEsAPgAmwAq/7P/LP6B/br9BvyZ/Hf8dvxt/E78KPwI+/D74/vf+9v70fvP++78Mfxy/ID8RfvY+2b7Efrj+s/6wvqr+oT6WPo3+iL6B/nX+aX5nvnc+j36f/p/+mf6e/rQ+zb7c/uE+477r/vh/BL8Ovxa/HL8fvyQ/MX9JP2N/c/91f23/Z39mf2S/WX9CPyN/AX7dfrg+lv6APna+dL5zPm8+an5ovmo+bT5u/m5+bH5qPmi+aT5rvm5+b35t/mw+bD5r/me+Xz5WvlD+TP5H/kJ+Pf44fjN+Nr5Mfm++i76NPnZ+XL5QvlJ+Vv5XPlI+Sn5B/jp+NL4u/ie+ID4avhb+EX4KfgS+Af3//fu99P3uPeh94n3b/dS9zH3CPbb9rH2ivZe9iP13/WX9VP1D/TK9IT0QvQJ89bzpPNu8zTy+/LF8o3yUvIU8dbxmvFg8Sfw7PCz8H/wVPAx8BPv+u/m79Pvt++O72DvNu8T7vPu2O6+7pvuZ+4s7f3t4+3T7bntj+1d7Svs/uzW7LHsi+xg7DXsDuvs68vrqOuG62TrQusg6wLq7+rw6wnrLetE6zfrD+ro6tzq8Osj63Pr3+xW7L3s7+zP7FTrquse6uvq/usd6ynrOutj64TrdetG6zTrWOuL66LrqOvE7AbsWeye7MDsrexm7BDr5uv+7Drsb+yW7L/s6+0M7SPtR+2B7bvt2+3n7fvuJe5R7m7uhO6n7tvvFO9B71/vb+91733vke+67/TwNfB28LXw8/Ey8XPxtfH28jHyaPKd8tDzA/M082jzofPd9Br0WPSZ9Nr1GfVV9Y/1yPYA9jn2ePa99wT3SPeN99f4Ifhg+Jb4z/kU+Vr5kfnB+gT6avrk+0/7k/u2+8376PwJ/Cz8Ufx8/LL88v00/XL9qv3i/h7+Y/64/zL/2ACdAVgB7wJlAssDIwNlA5UDzAQcBHsE0gUbBWIFrwX4BjoGggbWBy8HfAe9B/4IRAiFCLcI4gkJCSsJSglzCbcKEQpuCsYLJAuIC9YL5AurC1QLGwsmC3AL2Qw9DIcMsgzHDNAM0gzSDNYM6g0RDUMNeQ2uDd8OBQ4bDi8OWQ6gDvMPPA95D7UP7RAYEDcQYRCeEOEREREvEUwReBGxEe4SLhJtEqgS5BMmE2YTjxOXE5MTmROqE7kTxBPfFBQUWRSdFNoVERVBFW4VqBX3FlAWoBbkFykXcBekF68XmBd/F3YXcBdPFwoWuRaKFpQWyBcEFywXPxdNF2gXlBfFF+YX7xfoF+YX6xfsF+EX0hfHF78XrxeUF3gXZBddF2QXbRduF2YXaReGF64XvxeuF5AXeBdkF08XPxcuFwUWwhacFscXKBdaFyQWwRaUFrkW8xcJFvIWwRaHFl4WaBasFwEXNRdFF1AXYRdmF1YXSRdWF3EXehdvF2cXdheQF5kXiRdvF1AXBBZmFZ0VNxW3Fw0Yhxl2Gb4ZxRnhGg0aIRoWGgUZ+BnlGcwZuhmuGZYZcRlPGTcZHRj5GNQYuhihGHkYRRgXF/QXzhehF3MXShcdFukWuRadFpgWmBaIFlkWDxW3FWMVFxTLFHIUERO8E4YTdROGE6kTwxO+E5kTZhM7EyITFxMREwsTBBL+EvwS+hLtEtEStRKsErASoxJ8Ek4SExF6EBANxgtDCYsJMQnoCtwLbQuEC14LKgrxCrwKmAp+ClAJ/QmVCTcI5giTCDIHzQdwByMG5AaxBoQGWAYvBgsF5gW6BYgFWwU2BRYFBAUNBS0FQAUnBOgErgSSBIgEcgRJBB4D/QPjA8gDqAOCA1sDOgMlAxYDBgL1AuMC1ALEArYCqwKiApICewJhAkgCKgIFAeIBzwHRAdsB2QG/AZUBbAFRAUMBOQEtASQBIgElAS4BPgFQAVQBUgFuAckCQwKEAkYBnQDnAG8ANQAI/8X/ef9E/yv/Gf71/sT+nf6P/or+ef5W/i/+EP36/ev94/3a/cb9rf2k/bD9s/2P/Uz9Gv0V/SX9H/z5/M/8ufy3/Lr8uvy5/LX8rPyc/Ij8cvxd/Er8Ofwm/BP8Afvy++T71PvH+777uPux+6n7ofud+5v7nfuf+6H7oPuh+6j7tPu8+777wPvE+8v70PvT+9f72/vf++D74fvk++77/vwO/Br8H/wm/DT8RPxN/FP8XPxt/IH8kvyj/Lf8y/zY/OP89P0K/SD9MP1A/VL9Yv1t/Xj9if2d/az9uP3E/db96v37/gr+Gf4o/jb+RP5U/mT+dP6C/pL+of6u/rn+xv7T/t3+5P7t/vr/Bf8M/xH/Gv8k/yr/Lf8v/zH/Mf8w/zH/NP80/y//K/8q/yj/IP8X/xL/Ev8P/wf+/v76/vj+8v7o/uD+2v7U/s3+yv7I/sT+u/6s/pr+iv6A/oD+hf6E/nn+af5d/lX+Sv47/i3+Iv4Z/g/+A/38/fr9+v30/ej93f3X/dn92/3a/db90/3V/df92f3Z/dn91/3V/dn94v3t/fT99/38/gH+Bf4I/gz+Ff4f/iX+Kv4w/jj+P/5G/lH+YP5t/nj+gf6N/pn+o/6r/rb+xv7Z/uv++/8J/xX/If8s/zr/TP9f/3L/gv+S/6P/tf/I/+D//QAeAD4AXwCCAKcAyQDpAQ0BOgFqAZUBvAHnAhsCVQKPAskDBQNGA4sD0QQRBEcEdgSnBN8FFwVLBXkFpQXOBfUGGgY+BlwGbwZ7BosGnAaaBm4GEAWTBR4E4gUBBXgGKQb8B/AJCQooCxsLzgxrDTkOWQ+jELsRVhFxEVMRSRFkEXwRdxFxEZERxRHQEZERJRC9EGQQCQ+dDxoOcw2cDKwLzQsPCloJnwjzCIEIUghUCHEInQjCCMcIqgiLCH4Ibgg5B9kHaAb4BocGFQWtBVwFHQTgBJ0EUgP9A5gDLgLMAnICEwGsAUYA8ACoAGcAJP/a/4r/O/8A/t3+v/6M/kb+BP3S/aL9a/04/Rj9A/zj/Kr8XPv/+5f7Mvrl+rn6qPqv+tP7EPtL+2L7Uvsy+xz7GPsb+xr7D/sD+wf7JvtW+377lfuo+7v7yPvI+8z75fwO/Cn8J/wS/AL8BPwa/ED8Zfx4/H/8k/zB/Pf9G/0v/Uj9X/1G/OD8Tfvj++f8Wfz2/WP9bP0g/MD8ifyJ/Kb8xfzf/Pn9E/0p/Tv9TP1c/WX9av1x/X79jP2X/aD9qf2y/bX9rv2g/ZL9hv17/W39Xv1Q/UT9OP0s/ST9If0f/R/9IP0k/Sz9NP1C/Vb9b/2G/Zz9tf3Y/gT+Nf5r/qX+2/8F/yX/Qf9b/3P/iv+k/8f/8QAdAEwAfgCxAOABDQE6AWUBigGrAcwB7wIQAi8CTgJuAosCowK8At0DAAMdAy4DPQNTA28DiwOkA7kDzQPeA+sD+AQIBB0EMQRBBFAEYwR6BJAEoQSuBL4E0gTmBPME+QT9BP8E/gT6BPcE9gT5BPsE/AT7BPoE/AUBBQgFDgUTBRoFIwUxBUUFXwV7BZUFqgW9Bc8F2wXgBeEF5gXwBg4GFwYaBhsGGwYbBhsGHAYdBiAGIgYlBicGJgYkBiQGKQYzBj4GSwZbBm8GhQacBq8GvAbIBtMG3AbfBt0G2AbUBtAGzgbOBtUG5Qb/BxsHLwc6B1QHmAf+CFkIhQiSCLAI9wlJCYEJngm6CeAJ/An+CecJwwmPCUgI+giwCHEIOggKB+QHywe5B6kHmweOB34HbQdfB1EHOQcZBvkG3ga/BowGQAXmBYsFOwUBBOIE0wTBBKEEeQRWBD4EKgQOA+UDsgOLA4EDkgOfA4gDSQL3AqICSAHoAZYBaAFeAVsBRQEbAO4AzwDIANgA9wEZATUBSgFfAXsBkwGTAWgBGwDFAHAAAv9Z/nz9qv0m/Pb86PzK/JX8YvxB/C38HvwR/Ar8CvwW/DX8Y/yG/H38PPvU+2v7Gfrn+sn6svqa+n36YvpP+kX6PPol+gb5/vou+of6zfrT+rD6qvrm+0X7j/ux+8P74fwP/En8jfzV/RD9Nf1T/Yb91f4j/k3+R/4n/gf98P3U/Z79Qfy6/BX7ZPrG+lT6GvoJ+gb5+/no+df50vnY+eL55vni+dn50/nS+db53fnl+ev56vnk+d350Pm3+Zb5evlt+Wf5Yflf+Wn5c/lt+V/5a/mh+d757fnE+Y/5efmF+ZT5j/l5+V/5S/k++TL5G/j6+Nj4wPiu+Jb4ePhh+Fr4XPha+E34N/ga9/v32/e795f3bfdA9xb27fa+9oT2RPYD9cL1ffU19O/0r/R49Eb0EvPX85rzYPMp8vPyuPJ78kHyCfHQ8ZLxUPEU8OLwvfCg8IfwcPBZ8DvwFe/q78Dvmu9070/vL+8T7u7uue5+7lLuPe4s7g3t3u2q7X3tVe0w7Qrs4ey27IzsZOw+7Bbr7+vL66vrjOtt61TrS+tX63HriuuN62zrNesI6v7rHOtb67TsJeyh7QntNO0F7H7r0utN6x3rL+tL61rrceuZ67PrnOto61Prc+ui67rryOvz7EPsley/7LHseOww6/zr/Owp7F/sg+yb7Lvs4+0D7RvtP+127artxu3P7eDuBO4u7k3uY+6A7q3u5e8Z70DvVe9f72rvgO+m79rwF/BX8Jjw1vET8VLxkvHQ8gnyP/J38q/y5vMa81DziPO/8/P0KPRk9KX05fUg9VX1iPW79fH2MvZ+9tD3Hvdo97L3+fg4+G74o/jf+R75Uvl/+bn6Efp8+tv7HvtL+3P7mvvA++f8FvxS/Jb82/0e/V39lP3J/gr+Zf7f/3QAHQDKAWQB3AI5AowC2gMbA08DhwPUBC4EggTHBQYFRwWKBdAGIAZ8BtQHGQdPB4MHuwfwCCAIUgiHCLoI6AkfCWgJtwoCCkwKpgsGC0QLQQsKCtMKxwrxC0ILowwADEkMdAyEDIkMigyJDIkMlAyxDOANFw1ODYINsA3VDfoOLA5rDq0O5Q8YD0wPfw+pD9AQBxBTEKEQ2hD+ESIRURGJEcER9xIqEl4SmRLgEyYTVRNlE2cTbhN7E4ETgxOYE80UGRRlFKUU2RUHFTcVdhXLFikWfhbEFwQXQRdvF3sXZxdOF0gXThdDFxEWxBaDFnIWjRa4FtcW5RbyFw0XNRddF3MXdBdvF28Xdhd0F2cXWRdVF1UXTxc/FywXHRcYFx8XMxdKF1sXbReGF5sXmheEF2oXVhc+Fx8XAxboFrcWdBZaFqAXHBdYFxgWoxZtFpUW2Rb3FuoWyBaaFmwWYBaNFuEXNheCF8YX7hfbF5cXWxdUF3EXfxdvF18XbheNF5gXhRdrF1IXERZ0FZgVCxVbFocX7RjiGUsZgxnPGhcaLBoTGfoZ9BnsGdYZvBmqGZgZfBlfGUgZLxkIGNsYtxidGIAYWRgqF/sXzBehF30XWxcvFu8WqRZyFlkWWBZbFkQWAxWeFTAU0hSFFD4T+BO5E4sTcxN6E5sTwRPQE7kTjBNhE0QTNhMwEy4TLhMrEycTHxMPEvgS6BLkEt4SvRKEEkUR6xEWD2oNEArPCYIJcAogCuELUwt+C38LWgsSCskKoAqPCmwKIAm7CVwJBgisCEQH1wd0ByQG5gawBnwGSgYgBf4F2wWzBZAFegVnBUsFMgU1BVMFYwU9BO8EqQSJBH4EbARNBC0EDgPsA8UDngN5A1QDMwMbAxADCgMCAvYC5wLWAsUCtgKoApECcgJTAjsCIwH/AdYBvgHHAeAB5gHIAZYBbwFfAVkBSQEyAR4BEgEMAQwBGAEpASoBGgEdAVsBwQIBAdoBWADHAGMAKv/y/6L/S/8Q/vn+8f7b/rL+h/5t/mD+U/4//iX+B/3p/dL9xf22/Zb9cv1s/Yn9nv1+/TT9AP0H/Sr9L/0H/NP8tfyq/KP8m/yZ/Jz8mvyM/Hf8YvxT/Ef8O/wt/B38C/v6++r72vvN+8P7ufuv+6f7ofue+537nfue+537nPuf+6f7svu6+737wPvG+8370vvU+9f72fvc+9373vvg++b78/wD/A/8FPwb/Cn8OvxE/En8Ufxg/HH8g/yX/K/8xfzT/N387f0D/Rj9Kf06/U79YP1r/XX9hP2X/aj9tv3F/dj96/37/gn+GP4o/jj+R/5W/mX+c/6D/pT+pP6x/r3+yf7W/uD+6v71/wD/Cf8P/xX/Hv8o/y7/Mf80/zX/NP8z/zb/Of84/zP/Lv8t/yv/JP8c/xn/GP8U/wr/Af77/vb+7v7n/uP+4P7b/tL+yP6//rf+sf6r/qX+nv6Y/pP+jf6C/nP+Zv5e/lj+T/5D/jj+Lf4h/hT+Cf4B/f79/v36/fL96v3p/e798/3w/ef94f3g/eH94f3k/ej97P3t/fL9/P4I/g7+D/4T/hv+IP4f/iD+KP42/kD+Rf5J/k/+V/5g/m3+e/6J/pX+n/6q/rT+vv7H/tP+4f7w/v7/Df8d/yv/Nv9A/03/Xv9w/4L/k/+m/7r/z//j//sAFwA2AFMAcACSALgA3AD7ARsBRAFzAZ8BxwHwAiACWQKVAtEDDgNKA4gDyQQHBDgEXgSDBLUE9AU1BW0FmwXCBecGDAY0BlkGdgaLBqIGvwbaBuQGzAaFBhQFlwVABToFjQYuBxAIHAksChAKvAthDEQNgw72EEMRGhFlEVgRQRFGEVURTxE+EUkRdxGYEXYRDhCSEC4P6w+qD0YOqQ3lDSQMgAvhCxQKFAkcCHEIKQgkCEIIcAicCK0InwiKCIMIfwheCBIHpAclBqUGNQXjBaoFdAUvBOAEkQQ/A+EDeQMVArYCUwHpAYABIADLAHsALv/i/5H/Qf8A/tX+rf5z/ib93P2d/WP9KPz6/Ob84fzU/LL8dvwe+6n7MPrS+qD6lPqn+tv7KPtt+4z7hPt0+3L7eft3+2b7TvtB+0b7Xft8+5r7t/vW++778fvi+9X73fv1/Av8E/wU/BH8C/wL/B/8Sfx6/KH8wfzk/Qz9Of1t/aH9sv12/Oj8PPvL+9H8S/zw/WT9bP0b/Ln8h/yS/Lf82Pzv/QT9HP0x/Ub9W/1v/Xv9gv2K/Zf9pP2v/bb9vf3F/cj9w/21/aX9mP2M/X/9bf1c/U/9Q/02/Sn9IP0c/Rv9H/0m/TD9O/1H/Vn9cP2I/Z79uP3Z/gD+Lf5f/pb+zP77/yD/Pv9a/3H/iP+k/8f/7gAWAEEAcQChAM8A+wEpAVUBfQGeAcAB5AIHAicCRQJlAoMCnAKzAs8C8gMRAycDNwNOA3EDlwO5A9ID5AP0BAEECwQYBCsEQARTBGEEcQSIBKEEswS+BMoE3ATtBPcE+QT4BPgE+AT1BPIE8QTzBPYE+AT5BPoE/QUEBQ0FFAUZBSAFLAU9BVEFagWHBaQFuwXMBdkF4QXlBekF8gYABioGNQY6BjkGNgYyBi8GLgYvBjIGNAY3BjoGPAY+BkEGRgZOBloGaAZ3BokGnwa3BssG2QblBvEG+wb/Bv8HAAcABvsG8QbsBvYHCwcgBy4HMwc5B1QHmggICHMIswjLCOQJGQlaCYoJpgnHCfQKGAofCgcJ1wmWCUcI9giuCHMIPggSB/MH3wfRB8cHwQe5B6wHmgeMB4AHcQdbB0MHKgcEBsUGbwYSBbcFZQUmBQUE/QTzBNQEpQR5BF0ETAQ9BCcECgPvA+QD6gPqA8kDfwMfAroCWQICAccBsgG1AbEBlQFqAUYBNQE1AT8BTgFdAWwBgAGcAbwB0QHHAZsBXAEkAPEAngAA/yH+Qv2t/Wv9S/0Z/Nb8nvyA/G78WfxC/Dr8Rvxi/IL8mPyT/Gf8GPu6+2X7J/r7+tb6s/qV+oP6efp1+nT6dvpy+mX6YvqK+tr7JPs0+xD68vsM+1H7l/vE++H8Avwv/HH80P0//aD93P4C/i3+Z/6d/rr+uP6g/nX+O/36/bL9VvzP/B37X/rF+m36TfpG+jv6KfoX+gz6CfoL+g/6EvoR+g/6DvoR+hX6GPoc+iD6IfoY+gb56/nJ+an5mPmc+aj5s/nE+ev6H/pB+jj6E/nz+ej55fnc+c/5yfnI+cL5svme+ZD5jPmQ+Y/5f/le+Tj5GvkE+Oz40Pi5+LL4uvjG+Mj4tviT+Gn4Qfge9/r30fel93n3Tfcb9uT2rPZy9jP17fWk9WD1IfTp9LP0efQ68/nzvfOI81XzH/Lm8rDye/I/8frxs/F48UzxLPEQ8Pbw3PC/8Jrwb/BE8B3v+O/O76Pvfu9e7zfvAe7K7qTuk+6C7l/uLO357c/trO2J7WPtOO0L7N7stOyL7GHsN+wU6/fr2+vB67HrsuvB69Lr1eu/65DrVust6yvrVOue7AHsd+zw7U3tZ+0m7Jfr8+t861XrZut/643rouvF69frveuL63brk+u/69zr9+ww7ITsx+zP7J7sWOwi7BLsLOxc7ITsl+yl7L/s4+0D7R3tQe1z7aPtuu2+7cbt4u4K7i3uRO5b7oDutu7w7x7vN+9G71nvee+i79DwA/A/8IDwvvD58TXxc/Gv8ebyG/JT8o7yx/L+8zTza/Og89L0BPQ79Hf0tPTs9R71T/V/9bT19PZC9pj27vc+94r30fgO+D34Z/iY+NH5CPk6+XT5xvoq+of6y/r7+yP7Rvtj+4H7r/vx/EH8kvzj/TL9e/3A/hH+f/8M/6gAQgDQAUoBrQIAAlACogLvAzADbgO0BAEESQSGBL8E+AU3BX0FzgYkBnEGrAbbBwsHOwdmB48HwAf9CEEIiAjVCSQJZwmZCdAKIAp4CqoKogp8CmwKigrHCw8LXAutC/UMIgwxDDMMNQw3DDQMNAxFDG8MqAzkDRoNTQ1/DbUN7w4rDmEOkA6/DvAPIg9PD34PvBAIEFAQhxC1EOgRIRFWEX8RoxHMEgISRhKWEuITFxMvEzsTSRNTE1ATShNZE40T2BQjFGUUoBTZFRUVWRWrFgcWYBatFuwXIBdFF1EXRRctFyIXKBctFxYW3RafFnwWfRaOFpkWnBakFrwW3Rb7FwgXBhcAFv4W/xb/Fv0XARcLFw4XAhbwFuIW2hbWFt0W9RccF0YXaheCF4oXexdgF0gXMhcSFukWxhaoFnUWMxYjFncW+xcyFuQWZRYyFmIWqBbDFrkWphaMFmoWWRZ1FrkXERd3F+YYMxgnF8cXYRdAF10Xehd2F2cXbxeKF5QXghdnF08XExZ2FYkUzRTbFc8XJRg7GOAZUxnFGhoaJhn/GeIZ6BnwGeEZxBmtGZkZfhlgGUgZMRkOGOIYuBiaGH8YXRgwF/wXyheiF4UXaBc5FvMWpRZmFkEWMRYmFggVyBVmFPcUjxQ2E+8TvROiE5MTiROJE50TxBPgE9sTthOGE2MTURNNE1ETVhNWE1ATQxMxEyATGBMaEw8S5RKeEkARpBByDoUMRgqFCdQKEgqhCwULOAtmC4wLfws2CuQKuwqvCpAKRAneCXkJGgi0CEIHzwdtByIG6AaxBnYGPgYRBe0FyAWhBYkFgwV8BV4FNwUpBToFQAUXBM8ElQR+BHUEZQRPBDkEHwP6A9MDtAOaA3QDRAMbAwgDBwMJAwcC/ALpAtACtwKgAoUCYQI9AiUCEQHyAccBpwGqAcMBzAGvAX8BYQFiAWwBZAFIASgBCwDxAN0A2wDkAOAAyAC0AMoBAwEsARcAyABuACv/+v/C/3f/Kv7y/tn+0v7G/qr+gf5Z/jj+If4S/gb99P3c/cf9u/2p/YD9Tv08/Vf9df1i/SP88/z5/Rn9H/z8/M78sfyh/I78fPx2/Hv8ffxx/F78TvxE/Dz8Nfwt/CL8Evv9++n72PvN+8T7uvux+6n7pPuh+5/7nvud+5z7nPug+6f7sPu1+7f7u/vD+8v70fvW+9n73Pvf++P75fvm++j78Pv9/An8Evwb/Cr8O/xG/Ez8Uvxe/G38fvyU/K38w/zQ/Nr86vz//RT9JP01/Un9XP1q/Xb9hP2W/ab9tv3H/dn96v34/gb+Ff4m/jb+Rv5V/mP+cf6A/pH+of6v/rr+x/7V/uH+7f76/wb/Df8Q/xb/IP8p/zD/Nf84/zj/Nv81/zn/Pv89/zf/Mv8x/y//Kf8j/yD/H/8Z/w//B/8A/vn+8P7o/uT+4/7e/tb+zP7B/rf+sP6t/qv+qP6h/pX+h/56/nD+av5l/lz+Uv5J/kH+OP4q/hv+Ef4M/gn+B/4F/gH9/P39/gL+Bf3//fT97f3s/e798P31/f3+A/4G/gz+Gf4n/iv+Kf4r/jX+Pf48/jn+P/5M/lj+Xf5g/mX+bf53/oP+k/6j/rH+vP7G/s7+1/7j/vL/AP8L/xX/If8w/z3/SP9T/2H/c/+E/5X/p/+9/9f/8AAHAB0ANgBSAGwAhwClAMkA7QEOAS0BUgF7AaYB0QH9Ai4CYgKXAtADDQNKA4UDvwP4BCoEUgR3BKUE4AUhBVwFjwW4BdwF/gYkBk0GdQaXBrQGzwbvBxQHMgcvBu4GcAXbBWoFTAWWBkQHPAhGCSsJ4wqdC5gM7A5vD9UQ1RFNEVcRNxEoETMROhEwES8RTxF6EXkRLxC2ED8P5A+PDxsOeg3HDS0MswwoC1EKNQkfCGYIHAgbCDQIUghtCHgIbwhiCGEIZghXCCMHxgdNBswGYAYYBewFvQV5BScE1gSEBCgDxANfAvsCkwImAbwBWAD1AJIAM//d/4n/N/7y/r/+kP5U/gr9wv2A/Tz8+vzN/MT8z/zT/MD8j/w5+8H7QPre+q76q/rI+wL7UPuY+777xvvH+9D71/vI+6b7hftz+3H7evuJ+6L7yfvz/Ar8Avvj+8n7wfvH+9D73vvx/AD8Afv9/Ar8N/x5/Lr88P0b/UT9c/2l/cT9rv1P/Lr8JvvN+9L8K/yn/QD9DPzZ/KH8lPyx/Nf88P0B/RT9K/1B/Vj9cP2I/Zj9ov2q/bP9vv3J/dD91P3W/db90v3J/br9q/2c/Y39e/1q/Vv9Tf09/S39IP0a/Rj9Gv0f/Sf9Mv09/U39Yv17/ZX9s/3V/fv+JP5Q/oH+tf7m/xD/Mv9Q/2v/h/+n/8n/7QARADkAZgCVAMIA7wEdAUsBdAGXAboB4QIHAicCQgJeAnoCkgKoAsQC5gMJAyQDOwNXA34DqwPRA+wEAAQRBB8EKAQvBDsETgRiBHIEgQSVBK0EwATMBNYE4wTuBPIE8ATuBO4E7gTtBOsE6QTpBOwE8QT4BPwE/gUDBQsFFAUdBSgFOAVLBWAFeAWVBbIFygXaBeUF7gX2Bf8GCwYaBkUGSwZNBksGRgZBBj4GPgZBBkYGSgZMBk8GVAZZBlwGXwZmBnMGhAaVBqUGuQbSBuoG/QcLBxgHIQckByYHKgcvByoHHgcZByMHNAc7BzcHNAdBB2wHwQg7CLcJBwkhCSYJOAlbCX4JngnJCgAKKwo0ChgJ4wmfCVIJBgjDCIoIWAgyCBsIDwgEB/kH8QfsB+IH1AfGB7sHrQeaB4YHbQdCBv0GpgZNBfYFngVUBS4FKAUmBQsE2QSqBIwEfARyBGgEWgRHBDUEKQQaA/YDtQNfAwQCrQJkAjECFwIHAe4BywGsAZsBlwGZAZ0BowGoAbABvgHXAe4B8QHVAZ0BYAEvAQYAvwAz/2j+mv4L/cL9lP1Y/RP84fzI/LX8mPx9/Hr8lPy8/Nr82fyw/GP8Bfuv+3D7Rfsd+vH6w/qk+pn6m/qd+qH6rPq7+sT6y/rq+y37dPuP+3P7S/tH+237pfvY/AL8JfxN/I/8//2O/g7+XP6E/qb+0P75/xX/H/8N/tL+cP4F/ar9UPzR/CD7ZPrZ+pj6iPqB+m76V/pK+kf6RPpA+j76Q/pK+k76UPpS+lT6VvpV+lX6UvpG+iz6Bfnb+cH5xfnp+hr6RPpl+oz6v/rq+vL6z/qX+mb6TPpD+jv6K/oQ+fP53fnR+c35zfnP+c75wfmm+Yb5bPlc+VD5QPkt+SL5JPkw+TX5Jfj9+Mz4oPh8+Fn4MfgF99j3qfd190L3Evbd9p/2WPYR9dD1k/VV9Rn02/SZ9Ff0GvPn87rzivNX8yPy7PKr8mHyHPHn8cLxo/GB8V7xPPEa8PLwxvCb8HTwTPAf7/Hvx++j73nvR+8X7vju6e7U7q7ueu5I7iDt/+3d7bfti+1a7Sjs/OzT7Kzshexj7EfsMewg7BrsIewr7CjsEOvm67Drf+tk623rnevu7Ffszu087YPtgu0v7KPsEeuy65frqeu868Xr0uvp6/Pr2uuu657ruevn7AzsM+xw7Lrs4+zO7I/sUew07D7sYuyL7Kfssuy57M3s7e0N7SrtTe167aLts+2u7avtv+3q7hbuMu5C7lvui+7J7vzvGu8s70jvce+e78fv8/Ap8Gjwp/Dg8RnxVvGT8czyAvI68nTyrfLi8xTzR/N787Dz5fQc9FP0ivS+9PH1I/VW9Yv1yPYR9mP2ufcM91v3ovfY9/r4Evg1+Gv4qvjn+Sr5gvns+lD6lvrA+t368fr9+wv7Mvt9++L8UPy9/ST9hf3f/j7+r/8z/7kANACjAQsBawHFAiACfwLeAzEDdwO3A/MEKgRaBIkEuwTzBTUFfwXKBgoGPAZuBqYG4AcNBzAHVQeHB8gIGQhzCMgJBAkpCVUJmwnpChQKEAoBChUKUwqcCtsLGAteC6MLzgvZC9YL1wvaC9ULzAvUC/sMOAx6DLQM7A0pDW0NsA3pDhgOQQ5tDp0OzA78DzAPag+nD98QFBBQEJcQ2xELESURPBFlEaYR+RJQEpoSzhLuEwUTGBMgExgTDhMcE04TlRPfFCUUbBS3FQIVShWUFegWRBaaFtwXCBcjFy8XKRcUFv8W/BcHFwgW6xa7FpYWiRaKFooWhxaLFpsWsBbBFsgWxRa/FroWtha3FsIW2hbyFvUW3Ra8FqgWohafFp8WrRbRFwIXMBdNF1MXQRcoFxMW/xbgFroWnRaCFk4WCxYAFl0W4hcMFqoWIxX3FjUWghaZFokWehZtFlsWUxZpFpUWyRcXF44YAhgfF84XWRcjF0EXeBeQF4sXiheTF5MXfBdfF0UXDRZ7FY0UsxSJFUoWlxfSGK4ZRBm8GggaDxnrGdQZ3RnrGeEZyBmyGZ0ZgBlcGT4ZKRkQGO0YxhiiGIAYWhgtF/sXyxekF4cXaBc6FvoWtxaAFlUWLhYIFdsVoBVRFO8UgRQWE78TkhORE6QTrBOkE6cTxBPpE/QT1ROhE3cTZRNpE3MTehN7E3kTcRNjE1ATQxM+EzQTEhLOElIRYg/CDZILfApKCjoKxws1C0ILMwtQC4ILhAtGCwIK5grcCrIKVwnmCXwJFwipCDIHwAdjByAG7Aa3BnoGPgYMBeEFswWFBWoFZwVhBUAFEQT3BPgE8gTPBJ4EfwR3BG8EWwRIBDoEJgQGA+sD4QPaA7oDfAM/AxwDEgMRAw0DAgLuAs8CrQKPAnECTQIoAg4B/gHpAcMBnQGRAZsBngGCAVQBOQFAAVUBWwFLAS0BCQDiALwApwCjAJwAhwBtAGcAdgCAAG4AQwAR/+T/t/+F/07/GP7q/sj+s/6m/pX+dv5L/hz99v3j/d392P3M/b/9t/2n/X39Q/0f/Sj9Qf0+/Rj88/zs/PP86fzK/K38nvyQ/Hv8Zfxc/F38WvxO/EH8O/w3/DP8Lfwp/CL8FPv+++f71/vP+8r7w/u7+7P7q/uk+577mvuY+5j7mvuf+6X7qvus+677s/u6+8L7yfvQ+9f73fvj++j77fvv++/78fv6/Af8E/wf/C78P/xM/FX8Xfxm/HP8gvyX/K38wPzN/Nr86/0A/RP9I/0z/Ub9Wv1r/Xv9i/2b/ar9uv3L/dz96/33/gT+E/4j/jP+Q/5T/mH+b/5//o/+nv6r/rj+x/7V/uD+7P76/wb/Df8Q/xX/Hf8m/y7/NP85/zn/Nv81/zr/Pv8+/zn/Nf80/zL/LP8n/yX/Iv8b/xL/DP8H/v/+9v7t/uj+4v7c/tf+0v7N/sT+uv6y/q3+p/6d/pH+hP57/nb+dP5t/l/+Uv5M/kr+RP42/ij+IP4e/hv+GP4X/hT+EP4N/g7+Dv4I/f79+v38/gH+Bv4M/hP+F/4Y/h/+MP4//kP+P/4//kn+VP5X/lb+W/5l/m7+cv52/n3+hf6O/pr+qf66/sn+1v7f/ub+7f74/wf/GP8m/zH/O/9E/03/Vv9i/3P/h/+b/63/wP/W/+8ACQAfADUATABoAIQAngC6ANoA/QEgAUIBZgGLAbIB3wISAkYCdAKeAs4DCQNJA4UDuAPpBBkESQR4BKoE3wUVBUcFdwWkBcsF7gYTBj4GbwadBsMG3wb7Bx8HTgd1B3UHNAa2BhsFlwVjBagGZAdgCFYJLAoKCygMkQ4bD4UQlhEsEUsRKBEKERIRLBE0ETARPRFiEXkRWRD+EIoQFw+iDxkOdQ3JDTEMpwwDCx0KAwj/CFsIKAg4CFcIaQhuCGYIUwhACDcIMwgkB/wHuAdaBvEGkwZPBiEF8wWzBWcFFgTBBGUEBAOhAzoCywJaAfEBjgEjAKwANv/O/3H/G/7S/pn+Zv4s/ez9r/10/TH87fy//Lb8xvzS/Mj8n/xS++T7bfsQ+ub66fsJ+z/7hPvH+/X8Dvwd/Cr8J/wK+9z7svub+5X7lfue+7X73fwD/BD7/PvX+7n7qfui+6P7tPvV+/b8BvwK/Bv8R/yH/Mz9Cf1C/X39tf3Y/cX9avza/Ez77vvR++f8IPxj/Jb8pfyZ/JP8qfzP/O79AP0R/Sr9Rv1f/XX9jP2i/bL9vf3E/cr90v3c/eX95/3i/d792/3X/cz9vP2q/Zr9if13/Wf9V/1F/TL9JP0d/Rr9F/0X/Rv9I/0t/Tv9T/1o/YX9pf3K/fP+HP5D/m7+nf7O/vn/Hf8//2D/gv+n/8v/7wASADgAYwCQAL4A7QEbAUkBcgGXAb4B5wIOAi4CRwJeAnYCjwKnAsEC3wMAAx0DOQNZA4IDsAPYA/cEDgQlBDcEQgRFBEwEXARzBIcElgSmBLcExwTTBNwE5AToBOcE5QTkBOYE5wTmBOUE5ATjBOUE7QT2BPsE/AT/BQgFFAUhBS4FQAVVBWwFhQWhBb4F2AXrBfoGCQYXBiUGMQY7BloGWwZZBlUGUAZMBkoGTAZQBlYGXAZgBmMGZwZuBnQGdwZ+Bo0Gowa3BscG2gb1BxMHKwc+B0wHVAdVB1MHVwdbB1cHSwdFB0wHVQdSB0sHUgdzB64ICAiACP4JVwlzCWUJVwldCXEJkAm+CfcKIgotChgJ7Qm1CXQJMgj1CL8IkAhtCFwIVghPCEMIOQg0CDAIJggXCAUH7gfVB7wHoQd2BzQG5QaUBj0F2wWCBVIFTQVRBTsFCwTeBMMEtQSoBJwEjwR+BGYESwQwBA4D2wOZA1ADCwLTAqcCgQJVAiUB/gHqAecB6QHpAesB8QH5Af4CBwIVAh0CDQHcAZEBPwD5AMEAewAG/2H+uf5C/gH90/2Z/V39Nf0g/Qf85/zS/N39Av0o/TP9FfzM/GX8APu2+4v7bftI+xb65vrI+sD6wfrB+sb63PsA+x37Kvs9+237rvvW+837p/uP+5z7yfwE/Dj8Wfx0/K79Jv3J/lv+sf7X/vT/HP9H/2r/ef9j/xP+k/4P/af9SfzI/Bf7ZPrs+r/6uvqy+pz6h/qA+oH6fvp1+nT6fPqI+oz6ivqJ+o36jvqJ+oL6e/pu+lD6I/n4+en6BvpQ+rf7Hvtl+3v7aftK+zL7IfsM+vD61Pq/+qf6g/pV+jD6Ivol+ib6F/n9+eX50vnC+bT5rPmt+bT5tvms+Zz5kfmS+ZL5gfla+Sj4+/jX+LP4ivhg+DX4BffR96D3c/dB9wH2u/Z59j32APW/9X31PfT89Ln0ffRM9CPz+PPI85TzWvMV8s3yj/Ji8kDyG/Hu8b/xl/Fy8UvxH/Dz8MfwnPBu8EDwFe/s78Dvk+9t71PvP+8j7vnux+6Z7nLuUO4u7gnt3O2l7W3tPe0Y7Pfs1Oy07JzsjeyG7IjsjeyJ7HDsQ+wL69jrteus68Lr+OxM7LTtJO2B7a3tku007LLsOuvz6+Tr9OwB7ALsBOwQ7BTr/uvc69Tr9ewn7FLseuys7N3s6uzE7IfsXuxY7G3sjuyv7Mfs0OzT7N/s+e0a7TrtWu1+7Zztpe2a7Y7tnu3L7f7uH+4s7jzuZu6k7tzu/u8U7zPvYO+P77nv4/AX8FTwkPDH8P7xO/F78bfx8PIo8mPym/LO8vvzJvNW84zzxPP79C/0YfSU9Mn0/vU09Wz1qfXs9jn2i/bf9y73b/eY96n3sffL+AH4SviV+OT5Rfm2+h36Y/qG+pj6ovql+qv60fsu+7j8UPzb/VX9wP4g/n7+4f9I/60ADABpAMsBMQGWAfsCZALNAy4DfgO9A/AEGQQ9BF8EhgS1BO0FLgVuBaQF0gYGBkwGlgbUBvsHFgc0B2AHoQf0CEcIhgixCN8JHwlgCYMJhwmRCcMKFgpoCqcK4AshC10Lfwt/C3ULdAt4C3ULbAtyC5gL2QweDFsMlgzcDSkNcg2rDdYN+g4gDkcOcA6dDs8PAg8vD1oPkQ/eEDgQhBCvEMEQ1xEKEVsRuhIRElUShBKqEssS5BLpEt0S0RLfEw4TUhOeE+0UQxSeFPUVPxWCFc0WJhaAFsMW6Rb7FwYXCBb5FuAW0xbdFuoW4RbBFqEWkxaUFpkWmhacFqIWqhawFrAWrBaoFqYWpxasFr4W3hb7FvwW1xalFoMWeBZzFmsWaBZ3FpkWwhbhFuoW3xbPFsYWvharFpMWgxZuFjcV8hXuFlsW6xcPFqEWEhXrFjMWgxaVFnoWYxZWFk0WUxZsFoAWghaZFvkXiRfhF78XVxcVFywXdBeqF7oXtRerF5YXdBdRFzcXBxaIFa0UzRR8FQ8WSxedGJkZORmgGd0Z7RngGdYZ2xndGdAZvhmwGaIZhxljGUQZLBkUGPcY1RiwGIgYXRgxGAMX1BeoF4IXXxcyFvsWxBaTFmQWMBX+FdIVpBVjFQMUjRQVE7oTkROaE7cTwROwE6MTuBPlE/4T6BO0E4cTexOIE5kTnxOcE5wToBOaE4UTaRNTE0YTMxL6EmERHQ8SDKYKsAnsClALGAuBC2oLOwtGC24LbwtFCyILHgsPCskKUQnSCWYJBQibCCgHuwdiByIG8gbDBooGTgYYBeYFrgV0BUwFPAUvBRAE5wTMBMMEtgSXBHsEcQRwBGMESQQ3BDAEIQQHA/cEAgQQA/4DxQOFA1oDQAMoAw8C9wLfAr8CmgJ6Al4CPwIcAgAB8wHmAcsBpQGKAYIBfAFgATMBEQEMARgBIQEfARQBBQDrAMoAqwCUAIEAbABWAEcAPQAtABX/9//W/6z/fP9O/yn/Cf7i/rb+kP56/m3+Wv43/gj92/2//bf9t/2z/az9pv2b/Xz9SP0Z/Qf9Df0S/Qf88/zh/M78svyW/If8gfx5/Gv8XvxZ/FL8Qvwv/CX8J/wq/Cf8Ifwd/Bv8Efv/++z73vvY+9X70PvI+7/7tPuo+537lfuR+5H7k/uY+537ofuj+6b7qvuu+7L7uPvC+8772Pvf++b77vvy+/L78fv2/AL8EPwe/Cz8PPxM/Fv8Z/xy/H38jPyd/K78vfzL/Nz88P0E/RX9JP00/Ub9Wv1s/X79kP2g/a/9wP3R/eH97v37/gj+Ff4j/jL+Qv5T/mL+cP6B/pH+n/6s/rr+yf7W/t/+6P71/wL/Cf8N/xL/Gf8i/yn/MP82/zj/Nv82/zn/Pf88/zj/Nv81/zH/K/8l/yL/Hv8X/xH/Df8I/wL++/71/u/+5v7b/tb+1v7W/tD+xv67/rD+p/6e/pb+jf6E/n7+ev5x/mP+V/5U/lb+Uf5E/jj+M/4y/i/+LP4q/ij+Iv4b/hf+Ff4R/gz+DP4R/hf+HP4i/if+Jv4l/iv+Pv5R/lf+Uv5Q/ln+Zv5u/nT+e/6C/ob+if6O/pb+nv6n/rH+v/7P/t3+6/73/v//A/8J/xX/KP88/0v/Vf9a/17/Zf9x/4P/mf+w/8j/3P/vAAAAEwAoADwAVQByAJIAsADNAOsBDQEzAVgBfQGhAcYB8gImAlsChwKqAtEDCANLA4gDuAPeBAYEOARwBKoE3gUJBS8FWAWGBbMF3QYGBjUGaAabBscG7AcMBysHUgeCB64HvAeLBwkGTQWgBVsFsQaEB4YIiAmaCuQMZQ3xD1EQXxEAES8REBDnEOgRCREjESYRKhFFEWYRZhEuEMwQWA/dD1sOzA4rDXkMtAvUCtUJzAjrCGUIRghqCJkIsQiqCIwIZghECCgIDAfkB7IHeAc7BvsGvAaFBlYGJQXpBaAFTwT4BJ0EQgPiA3UC+QJ+AhUBtwFLAMoAQv/I/2D/BP6y/m/+OP4D/c79n/1v/Tf89/zF/LX8vvzL/Mj8rfx0/B37uPtk+zn7OftT+377tfvw/CT8Sfxi/G38Yvw9/Af72Pu++7v7xPvS++j8AfwT/Ar75/u8+5z7j/uP+577wvv1/CP8PfxK/F78hPy3/Oj9Ff1I/Yn9z/3t/bP9F/xX+8v7pPvI/AH8L/xP/Gj8ePyE/Jj8uPzZ/O/9Af0c/T/9YP17/ZL9p/24/cP9zP3V/dr93v3k/ez97v3o/eH93v3d/db9x/21/aX9k/2A/W79X/1O/T39L/0o/ST9If0e/R/9JP0t/Tv9Tv1m/YH9n/3D/e3+F/49/mP+jf65/uL/B/8r/1H/ev+i/8r/8gAXADwAYwCOAL0A7QEbAUgBcQGZAcIB6wISAjICSwJhAngCkQKsAsUC3wL5AxUDMgNTA3oDpwPRA/YEFQQyBEkEVgRaBF4EawSBBJgEqQS1BL8EyQTTBNwE4QTgBNwE2wTeBOIE4gThBOME5gToBOoE8AT4BPwE/QUBBQwFHAUqBTYFRgVdBXcFkwWvBcwF6AX/BhMGJQY2BkUGUAZXBmUGZQZjBmAGWwZXBlYGVwZbBmIGagZwBnQGeQaBBosGkgacBq0GxwbhBvQHCAcjB0EHWgdtB3wHhQeGB4MHgweFB4EHdQdtB3AHdwd7B4cHqQfdCBcIWgi2CSMJfAmeCY4JdAlqCXEJhQmlCdAJ9QoGCgIJ7wnPCaIJbwk+CRAI5gjGCLUIsAisCKUIngibCJUIhQhsCEwIKAgEB+YHygeiB2kHJAbYBn0GEAWsBXYFcgV6BWUFNgUKBPIE5ATSBL4EqwSXBH0EXwRBBCAD9QO+A4MDUAMoAwcC3QKkAmgCQAI1AjoCPAI5AjsCRgJQAlQCVAJUAk0CLwHuAYoBFgCwAGgAL//b/17+2P52/kD+GP3n/bf9mP2E/Wb9Rv1B/WD9iv2Z/Xn9K/y9/Eb75Puv+537kvt1+0j7HfsE+vn68vrt+vX7FPtC+2P7avtv+5L71fwQ/B78APvb+9f8APxE/H/8l/ye/Mr9Q/3w/on+4f8H/yr/X/+a/8b/0P+n/0H+s/4s/cD9Uvy5+/37Vvr4+uL65vrg+s36vPq3+rf6s/qt+q/6uvrE+sP6vvrB+sr6y/q9+qz6ovqY+nv6Tfol+hv6PfqX+zD78fyM/Kz8PPuN+wz66vsF+x77G/sE+ub6v/qU+nv6gPqV+pn6d/o8+gX56Pnl+e/5+/oH+hT6HfoZ+gf58/no+eP51Pmx+YX5Wvkz+Qr44Pi3+I/4Yvgw9//30vef92D3HPbf9qj2bfYq9eb1pfVj9SH05vS29I70Y/Q08//zxPOB8z7zB/Lf8rnyifJR8hzx8fHM8abxe/FN8R7w7/DD8JjwbfBA8BLv6e/J77DvlO9v70LvFe7s7sXuoe5/7lvuLO3w7bDtfu1c7ULtJO0H7PLs6uzs7O/s6uzV7Kvsc+w77BHr/uwG7CjsY+y07RTtd+3B7dbtq+1L7Njsduw+7DLsPuxG7EHsPexB7ELsMuwe7CPsTOyC7Kzsx+zg7PLs5+y87I3seOyB7JnssuzM7OLs6+zr7PDtBe0n7UjtY+187Y/tk+2G7Xjtg+2s7eDuAu4Q7h/uRu6D7r3u5O7/7x7vSu9776jv2PAO8ErwhPC58PDxK/Fp8aXx3vIX8lHyivK+8urzEvM8823zofPV9Ab0N/Rs9KL02fUR9Uz1jPXR9hz2bfa/9wb3OfdS91f3Wfdz9674Afha+LP5F/mG+en6KfpG+lP6Wvpc+mX6mPsS+8b8hf0l/Z79/f5Q/p3+6f84/4v/4gA/AKIBCAFtAdECOQKjAwcDXwOmA90EBgQjBDwEVQR2BKME2gURBT8FZgWWBd0GMwaDBr0G4Ab2Bw0HMgdsB7IH9ggxCGoIpgjaCPcJCQkuCXgJ1wouCnAKqgrjCxILJAsdCw8LDgsUCxcLFgsiC0sLiQvLDAcMQwyMDN4NKw1lDZANsg3RDfAOEg48DmwOmg6/DuYPJA9+D+EQLRBTEGMQgRDDESQRjBHiEh8STRJ5EqISuxK6EqcSmBKiEsoTChNYE7EUFRR8FNwVKxVuFbMWBRZZFpkWuhbIFtUW4BbcFsoWuxa/FssWyha0FpsWkRaYFqQWrBatFq0WrhawFq0WpRaiFqwWvRbQFuIW+RcOFwkW3RacFmkWURZLFkMWNhYxFjwWVRZqFnEWbBZsFnYWfxZ4FmoWYxZRFhsV2hXmFmkXDhc+FtEWQBYUFlQWlxaZFnAWURZDFj4WSRZlFm4WTRY2FnYXDBeSF6gXXxcWFxYXUheVF78XzBfAF5wXbBdBFyQW/RaVFdQU+RSCFNUV4RcuGEUY+RlgGZsZvBnNGdcZ2RnNGbkZqxmlGZ0ZihlwGVYZOhkYGPQY1Ri2GJEYZxg+GBMX4hesF30XUxcnFvEWtxaBFkwWGxX0FdYVrRVfFOgUZhP6E7kTohOrE7sTuROhE5ETphPYE/wT8hPEE5wTlxOuE8QTxhO8E7sTxRPKE7cTkBNsE1kTSxMMEksQuQ5eC9AJ9wlwCgkK7QtmC2ILQwtJC1sLUws9Cz4LSwssCsMKMAmrCUcI9AiYCDEHygdvBysG+gbPBpwGZAYuBfsFwgWBBUsFKgUTBPgE2wTIBL0EqgSMBHQEbQRnBFEENAQmBCQEFgP7A+0D/AQUBBAD7APCA6IDggNWAyIC9wLUArACiQJoAlECOQIaAf0B7AHjAdABrgGLAXYBaQFRASsBAwDoANsA1QDUANwA6wD0AOsAzwCqAIIAYQBJADgAJQAK/+7/1P+3/43/Wf8q/wz+9f7S/qT+dv5Y/kX+M/4Y/fP9y/2r/Zr9lP2R/Yv9hP1+/W79Tf0f/Pf84vzf/OP84vzU/Lr8nfyI/Hz8cvxl/Fz8Xvxj/Fn8Pvwg/BH8EvwV/BD8CfwG/Ab8Avv4++374/vd+9j70/vM+8P7uPur+577lPuO+4v7jPuP+5P7l/ub+6D7ovuh+6D7ovut+737y/vU+9z75fvs++777fvv+/j8B/wV/CL8MfxF/Fn8avx4/IX8lfyl/LL8vvzM/OD89f0G/RP9If0z/Uf9Wv1s/X39jv2f/bH9w/3V/eX99P4C/hH+Hf4o/jX+Rv5X/mX+dP6F/pX+ov6u/r3+zP7W/tz+4/7v/vz/A/8I/w3/Fv8d/yT/K/8y/zb/Nv83/zr/O/84/zX/M/8x/y3/Jv8g/xv/Fv8Q/wv/CP8E/v7++v76/vf+7f7g/tj+1/7X/tL+yv7B/rb+rP6m/qL+mf6M/n/+ef50/mz+ZP5i/mL+Xv5T/kn+Rf5D/kH+Pv48/jn+Mv4p/iP+IP4f/h7+Iv4o/i7+Mf40/jb+NP4x/jn+TP5h/mn+Z/5m/m3+ef6E/pD+mv6h/qP+o/6n/q7+tv6+/sn+1/7k/vD+/v8N/xf/HP8f/yn/Ov9P/2H/bP9w/3P/e/+J/5n/rf/F/+H/+AAIABMAIQAzAEgAXgB6AJsAvADcAP0BIAFGAWwBlAG7AeICCgI2AmcCkgK2AtoDDANMA4oDugPcA/4EKQRfBJgEywTzBRQFOgVoBZsFzQX+BjAGYgaPBroG5QcSBzkHWweAB7YH8ggLB8gHFQYmBWsFSAXQBsoH9wlFCr0MUg3XDyQQIRDDEP8Q7RDFEL4Q3RD+EQ0RGRE2EVoRZBE9EOkQgBAWD7QPSw68DfAM7AvRCsAJzQkNCJcIegiiCOAJAgj2CMgIkwhnCDwIBQe4B2IHGgbtBtYGxQavBo4GYAYlBd8FjgU3BOEEjQQuA7YDJgKcAi0B0gFqAOcAWf/Z/2r/Av6h/lD+Ef3h/bf9k/1v/UH9B/zS/Lf8tvzB/Mf8v/yi/Gn8GfvL+5b7hPuO+6v71vwL/EH8b/yO/Jv8jvxn/C77+vvj++v8Bfwf/DD8OPwv/A370/uV+2/7bPuL+8T8C/xS/Ib8oPys/L383f0C/R79Kv07/Wv9t/3o/bL9APwj+477evu7/AX8L/xG/Fz8dfyO/Kf8wfzX/Ov9Bf0r/VL9cf2K/aT9vP3L/dP92/3m/ev95/3k/ef96/3p/eL93v3c/dT9x/23/aj9lv2B/W/9Yv1Y/Uv9P/03/TT9M/0y/TP9OP1C/VH9ZP16/ZD9qP3H/e3+Ff45/l3+g/6s/tH+9f8b/0X/cP+a/8T/7wAYAD0AYACIALYA5gEUAT4BaAGTAbwB5AIJAikCRAJbAnMCjwKtAskC4QL5AxMDMANQA3YDoQPPA/oEIQRCBFwEawRvBHEEegSLBKAEsgS+BMYEzATTBNoE3QTbBNYE1gTaBN0E3QTcBOEE6QTwBPQE+AT9BQEFBAULBRoFKgU3BUIFUgVrBYkFpQXABdoF9QYNBiEGMAY+BkwGWQZiBmYGaQZqBmoGZgZiBmAGYQZmBm4GegaEBooGjwaZBqYGswbABtQG8gcRByoHPwdWB20HfweNB5sHpwetB60HrQewB64HpwehB6YHtAfLB/EIKQhhCIgIpAjUCSQJdgmhCaAJjwmGCYQJhgmPCaYJxAnbCegJ7AnkCcwJqwmKCWwJTgkzCSAJGgkaCRsJGgkUCQAI3QiwCIEIVQgsCAwH7wfLB5kHWgcPBrAGQQXfBa0FrQWzBZkFYwUzBRcFBQTuBNIEuQSiBIwEcgRYBDgEDgPbA6gDgANlA0wDJgLwArkCmAKVAqACpQKiAqICpwKpAqACkQKBAm0CRwH8AYQA9QB+AD8AKP/7/5f/Gv69/o7+bP5A/hP99/3i/cT9rP24/eb+CP3u/ZH9C/x6+/n7pPuJ+5f7qPug+4T7ZPtM+zv7Lvss+zz7XvuD+5X7jvuK+6v7+PxJ/Gz8Uvwi/BP8QPyP/Mr80/zD/N/9Uv3+/pj+8/8i/1X/oP/wACUAJP/f/2L+0v5W/ev9Zfyr++L7TfsP+xD7G/sW+wX69vrv+uz66Prm+uz69fr6+vf6+fsI+xn7F/r8+uH61vrQ+rf6i/pj+k76UfqL+zT8Tf1g/br9EfvU+tP6gvq3+wH7HfsV+wT67/rY+s363/r/+wr65/qi+mL6R/pU+nP6h/qI+oD6efpw+l76SPo4+jD6JfoK+eP5uvmQ+WT5N/kO+Of4vPiL+Fr4LPf59733fvdF9xH21/aV9lH2D/XM9Yr1UPUi9Pj0zPSa9GX0K/Pt87DzfvNU8yXy6/Ks8nfyTfIo8gHx1vGo8XbxR/Ec8PXwzfCe8G3wRPAl8Afv5O+5743vZe8+7xju8u7Q7qzufO487fjtxO2l7Y/tde1a7UntR+1L7UjtNO0P7N/sq+x/7GTsX+xz7Jzs1+0h7Xfty+4E7gvt2e1+7Rjsv+yJ7Hjsf+yF7IDseOx57Hrsc+xt7H/sr+zk7QPtCu0J7QHs6OzA7J7smOyp7L/s0uzm7Pjs/+z97QHtFe027VXtae147YPthe167W/tde2V7cHt5O337gruLu5l7p7uze7w7xTvPe9r75zv0fAM8EjwgfC48PHxLPFm8Z3x0/II8j7ydPKp8tnzAvMq81Xzg/Ox89/0EvRK9IT0u/Tz9TD1dPW99gj2Vvai9t73AfcN9w73Fvc393j30/g3+Jn4/flh+bf58PoJ+hD6E/oW+i76ffsc+/T8xv1i/cL+A/4+/nr+uP8A/1b/uAAcAHwA2QE2AZcB+wJeAr4DGwNwA7cD6QQIBBkEJwQ6BFoEhgS1BNoE9gUaBVUFpwYBBlAGiQasBr8G0QbvByEHYwepB+wIJghTCHYInwjgCToJmQnrCiwKYwqTCrIKuwqyCqgKpwquCrQKvQrRCvoLMwtvC6kL5wwxDIQM0Q0PDT0NYg2CDaANww3vDiAOTQ5yDpwO3g86D5kP3g/+EBEQORCJEPkRaRHBEf4SLxJeEocSmBKLEm8SXBJgEn8SthMDE2ETyxQ4FJ4U+RVGFY4V2hYlFmAWgBaQFqAWsxa+FrkWrharFq8WrRaeFosWgxaLFpsWphapFqgWrBaxFq8WohadFrAW1xb5FwkXDxcSFwYW2RaRFk4WKRYfFhkWDRYBFgEWDBYUFhIWDxYcFjkWThZHFjMWJxYbFfQVxxXmFnwXMRduFwsWehZCFmoWkhZ9FksWLhYoFiUWKxZAFkcWJhYCFigWqRc3F3YXWRcfFwMXFhdHF4IXsxfEF6kXcRc5FxIW6haVFfUVJBR9FGsVEBYzF2gYXBj2GUsZfBmhGb0Zxhm7GagZnRmXGYsZehlqGVsZPxkTGOgYyxi0GJYYbRhDGBgX5heuF3wXUhcjFuYWnxZeFicV/hXhFcYVjBUcFIkUBxO9E6gTqhOrE6cTnBONE4kTohPSE/oT+xPYE7cTthPQE+kT7BPiE94T6BPxE+QTvxOZE4MTaRMKEgkQLg2oCyQJewkeCb8KnAshC0QLSQtTC1ELOwsuCzwLQQsHCoYJ8Al5CSkI5QiaCEQH5geJBzkHAQbWBqgGcgY+BhIF4QWlBWkFOwUbBQEE6wTfBNYEwQSgBIMEcARfBEQEKgQgBB0EDQPtA9YD2QPoA+cD1wPIA8IDswOMA1YDIQLxAsACjAJjAkoCNwIdAf8B6AHbAcsBrgGJAWwBWAFEASkBBgDjAMIApgCWAJsAtgDUAOAAzgClAHIARwApABT//f/i/8j/tP+d/3j/R/8Z/vj+3v6+/pb+bv5M/iz+Df3z/d39xP2o/Yz9ev1v/Wb9W/1U/U/9QP0f/PD8yPy1/Lj8v/y8/K/8o/yb/JD8efxc/E38VPxf/Fn8Pvwe/Av8A/v9+/b77/vs++n75Pvg+9z71/vQ+8r7xfvC+7z7s/up+577lPuO+4v7i/uM+437j/uT+5b7lvuT+5D7kfua+6r7u/vH+9H72vvi++f75/vo++/7/PwJ/BX8I/w3/E78Yfxx/IL8lvyp/Lb8wPzN/OD88v0A/Qr9Gf0u/UT9WP1p/Xn9iP2Z/a39w/3X/ef9+P4J/hr+Jv4w/j3+Tv5e/mr+dv6G/pf+o/6u/rz+yv7U/tn+4P7r/vf+/f8B/wj/Ef8Z/x7/Jf8t/zL/NP82/zj/N/8y/y7/LP8r/yb/IP8b/xb/EP8K/wb/A/7+/vf+9P72/vb+7v7j/tv+2P7U/s7+yP7C/rr+sv6t/qn+n/6O/oD+e/58/nn+c/5t/mv+Zv5e/lj+VP5S/k/+TP5K/kb+Pv43/jP+M/4z/jT+Of5A/kT+RP5F/kT+Qv5C/kz+YP5z/n3+fv6A/of+kf6c/qr+t/6//r/+v/7B/sb+yv7S/uD+7/76/wT/Ef8h/y3/NP86/0T/U/9l/3T/f/+G/4//nP+r/7n/x//b//YADgAeACoAOgBOAGMAdgCMAKkAyQDrAQ4BMwFXAXwBpQHTAf8CJQJIAnECnQLHAuwDFgNLA4MDtgPeBAEEJgRQBH8ErATUBPgFIAVRBYcFvQXzBigGWAZ+BqAGyQb+BzMHXQd/B6sH6ggmCCUHrwbKBc4FOQVZBiwHdQj9Cp8MPQ2zDukP1xB5EMUQyxC0ELAQyBDlEPsREhE2EVsRYhE8EPEQmRBHEAIPsw8rDkkNHAvhCs8J+AlSCOIIuQjWCRMJNwknCPIIugiPCGIIGQeqBysGxQaTBpUGsAbDBr4GnAZlBiAF0gWBBTIE4gR/A/kDVwK9AkYB5gF/AP0Acf/y/4H/EP6c/jj98f3G/aj9jv1x/Un9E/zd/Ln8r/y3/MT8zfzL/LL8ffw1+/H7xfu4+8b75/wY/FH8iPyw/MP8ufyS/Ff8JPwS/Cj8T/xu/Hz8e/xn/DL72/t/+0v7Wfuj/An8bPy5/Ov9A/0N/Rf9Lv1M/Vr9R/0r/Tj9hv3d/dL9Ovxc+7j7j/u5++z8Cfwh/ET8bPyO/Kr8w/za/PT9F/1C/Wb9fP2R/a/9z/3h/eb97P34/fv98P3i/d794/3j/d792P3T/cn9u/2t/aH9kf17/Wn9YP1c/VT9Sf1A/T/9Qv1F/Uj9T/1a/Wv9f/2T/aX9t/3P/e/+Ev41/ln+fv6k/sj+6/8S/zz/Z/+P/7j/5AAPADQAVgB8AKkA1wEDASsBVQGBAaoB0AHzAhQCMgJLAmUCgQKjAsQC4QL7AxcDNQNXA3wDpgPVBAQELwRTBG4EfQSDBIUEiASSBKEEsgTBBMoEzwTTBNcE2wTaBNcE1wTZBNwE3ATcBOIE7QT2BP0FAQUFBQkFDgUZBSgFOQVGBVMFZQWABZ4FuAXOBeQF+wYRBiEGLAY2BkMGUgZfBmAGZAZqBm8GbwZsBmwGbgZ0Bn8GjgaeBqcGrQa3BsgG2gbrBwAHIAdDB2EHdweIB5cHogerB7cHxQfPB9IH1QfcB+UH6gfxCAAIGQg8CGoIogjQCN8I3QjsCSIJZwmZCasJrgmtCaUJlwmQCZ0JuAnSCeMJ7gnyCesJ2gnJCbsJrQmdCZAJiwmOCZQJlAmECVwJIQjjCK4IgwheCD4IHwf6B8kHigc8Bt4GeAYlBf8F/QX5BdYFmwVnBUYFLQUOBOoEygSwBJwEiwR2BFYEKwP6A88DsAOcA4gDagNAAxgDBQMMAx4DJgMhAxQDBALuAs4CqgKHAmkCQAH0AXYA3wBsAEwAYABU//j/c/8R/uj+zP6b/mL+Pf4n/hL+B/4e/kn+T/4E/XL8xvwl+6j7Y/tg+4r7uPvM+8T7rPuP+3b7a/t2+5H7rvvB+8D7sfur+878I/yB/K/8lfxc/Er8gPzc/Rr9Fvzz/Pz9Xv38/pH+9v85/3//2QA0AG0AYAAE/3X+5/54/g39cvyg+9b7Wvs7+0n7U/tM+z37Mvsq+yP7IPsj+yr7L/su+y37OvtX+2/7aftF+yL7F/sW+wH62Pqu+oT6VPpS+ub8Mv2l/kb9kvwL+r76UPqS+vb7Jfsu+zP7Nvst+yL7KvtF+1f7R/sZ+uz64fr++yf7Nvse+vP60vq/+q/6mvqI+n76dfpf+j36Fvnt+cD5kvlm+T35EPjf+K74gfhQ+Bj33veo93X3PPb89rn2dvYx9e71tvWJ9V71LvT69Mb0kPRX9B/z7vO/84fzRvMH8tbyr/KI8l3yMPIC8dDxn/F18VHxK/D+8M7wo/B+8FrwMvAG793vt++R72nvQ+8h7v3uzO6M7kjuFe327eLty+2y7aLtn+2e7ZHtce1E7Rjs9Ozc7NHs2Ozx7RntTu2P7druIe5N7kruFu3D7WTtDezQ7LbsuezA7Lvssuyv7LTstuy77NPtAe0t7T7tNO0h7Qzs8OzO7Lbst+zK7N/s7uz87QjtDu0P7RftLu1L7WLtbu117Xvte+1z7Wrtb+2H7aztz+3q7gDuHe5H7n3ute7o7xXvPe9l75LvyPAF8EHwfPC48PjxN/Fw8aXx1/II8jfyZPKU8sPy7fMV8z3zaPOU88Dz9PQx9HD0qvTh9R/1Y/Wr9fH2NvZ49qz2yPbT9tv27fcS91L3rPgX+IL44vk6+YT5uPnP+dH5z/nc+hL6i/tP/Df8//17/bL9z/31/in+aP63/xn/hP/pAD8AkQDtAVIBtgISAmkCxgMpA4QDxwPrA/kD/gQGBBoEOQRbBHcEjASlBNIFFwVtBcMGDQZDBmMGcwaGBqkG4QcnB2wHpwfXCAoITAiiCP4JUwmaCdYKCgozCkoKUApMCkcKQgpACkMKTgpnCo4KxAsAC0ELhgvUDCYMdQy2DOkNEw05DV4Nhw20DeUOEg47DmoOrA8AD1MPjw+uD8cP+RBVEM8RRxGlEeUSFxJGEmYSaBJNEikSExIVEi0SXBKjEv8TZhPOFDUUmxT6FU8VnBXhFhoWPxZUFmcWgBaWFp4WmBaOFogWhRZ+FnIWaRZsFnsWjRaWFpkWoBapFqkWmRaOFqIW0Rb7FwgXABb2FucWvxZ7FjMWAhXrFd8V0hXKFdAV3RXhFdkV1RXpFhAWJhYSFesV2BXZFc8VwRXzFokXNxdzFxMWgBY9FlMWahZPFiIWFBYbFhgWDRYNFhMWBxX0FgYWVxbEFxcXOhc2FxsW/Bb5FygXeBe5F8IXlRdRFxAW1haMFhEVWRSME/8UDhTVFhgXaRhmGPUZOBliGYgZoBmiGZoZlBmMGXkZYBlSGUsZNhkNGOQYyxi4GJcYZhg1GAoX3hevF4MXWxcpFuIWlBZSFh8V8xXIFZIVORS1FCMTuhOXE6ITqRObE4gTghOKE5oTtRPdFAAUBhPvE9ITzRPiE/4UDBQNFAsUERQWFAwT8RPWE8ETkxL9EawPiwz3CqgJUQknCcUKhgsDCzoLVgthC04LKQsRCwsK7wqZChcJnAlGCQoI0QiUCFEIAAeiB0gHBgbYBqkGcgZABhsF9wXHBY4FWwU0BRYFAAT0BOwE2gS6BJUEeARgBEYEMAQjBBsEBgPkA8YDugO2A60DoAOfA64DvAO3A50DcwM7AvUCqwJuAkkCNAIfAgUB7AHZAccBrAGJAWUBRgEvARkBAwDpAMgAogCBAHIAegCMAJQAhwBoAEEAHf///+b/zf+z/5z/jP95/1v/Mf8G/uL+xP6m/of+Z/5D/hb96/3S/c39y/24/ZL9bf1U/UX9Of0t/SX9H/0N/Or8w/yo/J/8n/yd/Jv8ofyp/KX8ifxh/ET8PvxC/D38Lvwd/A/8Avv0++n75Pvf+9T7yfvC+777uvu0+677rvuv+637pvue+5X7jfuJ+4n7i/uN+4z7i/uJ+4j7hvuF+4X7iPuP+5z7rfu9+8j70PvY+9/74/vk++n78/v//Av8Gfwq/D38Tvxe/HL8i/yj/LP8vfzI/Nf85/z0/P/9D/0n/UD9Vf1n/Xb9hP2U/ar9wf3V/eX99v4J/hr+KP4z/kL+VP5i/m3+d/6G/pX+n/6p/rf+xv7P/tX+3f7o/vL+9/76/wH/C/8T/xj/Hv8m/yv/Lf8v/zH/L/8q/yX/JP8k/yH/Hf8a/xb/D/8H/wP/AP77/vP+7v7t/uz+5v7f/tr+1/7S/sv+xv7C/rz+tP6u/qr+of6T/oj+h/6J/oX+e/5x/mz+av5m/mP+YP5e/lv+WP5U/k/+Sf5G/kj+Sf5J/kr+T/5W/ln+V/5V/lT+U/5W/mL+dv6H/pD+k/6Y/qD+qf60/sH+zv7W/tf+2P7b/t3+4P7n/vX/BP8Q/xr/J/80/0D/Sf9T/2D/bv97/4f/lP+h/67/vv/O/9v/5f/0AAkAHgAuAD4AUwBqAH4AjgCiAL0A2gD6AR4BQwFmAYkBswHnAhkCQAJfAoICrwLcAwMDJQNLA3gDpwPUA/4EIwRFBGgEjQS0BNwFCQU9BXUFrAXhBhUGRgZtBosGrAbaBxUHTwd9B6QH0wgPCDkIEgdrBmMFcAUbBagG9witCnQMGA2ADqcPjxA2EJYQuRC9EMIQ0hDjEPERBxEqEUgRSxErEPcQvhCIEE8P+g9gDmMNHAvVCs4KEAmCCRcI5Qj3CSwJSwk2CQEIzgisCIUINwe6BycGrAZtBnEGngbLBtoGwwaPBksGAgW6BXMFIwS4BCgDfQLcAl0B9QGHAQQAewAA/4//GP6Y/ib92P2w/Z39i/1y/U39HPzo/MH8sPyy/L38zPzb/N/8xvyO/ET8Bfvk++P7/vws/Gf8o/zU/Ov84fy3/H/8VvxV/Hb8n/y5/MX8y/zA/IT8E/uY+1r7f/vt/Gr8yv0G/S/9TP1b/V/9Zv12/Xb9Sv0F/PD9PP22/eT9fPy2/A/7zfvT++b79fwQ/Dr8YPx7/JT8tPzW/Pn9IP1L/W79g/2Z/br93f3u/fD98v35/fr97f3b/dX92P3X/dH9yv3F/bv9q/2d/ZP9hv1z/WL9Wv1Y/VX9S/1E/UX9Sv1P/VT9XP1p/Xv9j/2j/bT9xf3Z/fP+Ef4z/lf+fv6k/sb+5/8O/zf/YP+F/6v/1P/9ACMARwBuAJoAxwDvARUBPgFpAZMBuAHbAf0CHgI7AlYCcwKVArgC2wL6AxkDOgNdA4MDrAPZBAgENgRcBHkEigSSBJYEmASdBKUEsgTBBMsEzwTQBNME1wTaBNsE3ATeBOIE5QTpBO8E9gT/BQYFDAURBRYFHgUqBTgFRwVVBWUFewWUBa4FxAXXBekF/QYRBiEGLAY1BkEGTwZaBlwGXwZpBnUGewZ8Bn0GgQaJBpUGpQa3BsQGzQbaBu4HBAcXBy0HSwdwB5AHpge4B8cH0wfbB+QH7gf2B/gH/QgNCCUIQAhaCHQIjgipCMkI7AkICQ8JBwkNCTIJagmcCb0JzwnSCcIJqAmcCa4JzgnmCfAJ9gn+CgMKAQn7CfcJ9wn4CfcJ9wn5CfkJ7wnSCZwJWQkaCOwIyQioCIQIXQgxB/sHuAdnBw0GtQZyBlEGQwYwBgcF1QWsBY8FcAVJBRsE8QTQBLsErQSbBHsETgQhBAED7gPgA9ADuwOiA40DhgORA6IDpgOVA3IDRQMRAtkCoAJrAkACFgHRAVsAzABoAGQAmAChAEj/wf9k/0f/L/7v/pz+Zf5R/kr+Tf5i/nP+Tv3X/Sr8fvvx+437W/tj+5j72PwB/Aj78PvI+6j7pPu+++L7+Pv9+/f77Pvq/An8Vvy0/OP8xvyI/Hf8uf0m/W39af09/TP9eP38/ov/Av9e/7IACQBcAIsAdgAR/33+9P6K/hr9cPyX+9z7fPtv+377gPt2+277avtj+1z7XPtj+2r7a/tm+2b7d/uX+7H7q/uI+2j7Y/tn+1f7MfsF+sv6evpO+sf8Ff2d/k39m/wS+s76c/rG+y/7YPtx+4j7mvuT+3r7avtw+377gPtv+1z7X/uA+6n7sfuK+077IfsO+wL67vrY+sn6vvqq+ov6aPpD+hr57fm/+ZL5Y/kz+QT42Pip+HT4PPgH99L3mfdc9xz22faS9k/2GPXr9b/1jPVX9SX08/S+9In0V/Qj8+bzo/Np8z3zGPLt8r3yjfJd8ivx+fHN8arxh/Fd8S/xAvDZ8K/whPBb8DTwDu/l77zvlu9071DvH+7h7qLucO5S7j3uKO4P7fzt8u3o7dLtre2E7WTtUe1L7U/tXe117ZXtvu3z7jTuce6S7oXuUe4E7aztVe0Q7PDs8ez67Pbs6ezk7Ozs+O0C7RbtNu1R7VftRe0s7RTs+uzf7NDs1uzp7PvtBu0N7RTtGu0i7TPtS+1g7Wvtbu1w7XPtcO1n7WHtZe167Z3tw+3j7fnuDO4q7lvune7h7xrvQ+9j74nvu+/38DTwcPCx8PfxPPF68bHx5fIW8kDyZvKM8rPy1/L68yHzTfN686bz2vQZ9F30m/TU9RD1UfWS9cv2A/Y79m32kPap9sH23fb/9zH3gPfp+Fb4s/j/+UD5cfmL+ZH5m/nG+ir6zvuj/Hv9Hf1t/X/9hv2i/df+HP5x/tf/P/+a/+UANQCbAQ0BdQHIAhQCbgLaA0YDmgPJA9kD2gPbA+MD8wQIBBwEMQRMBHQEqwTwBTwFhwXGBfUGFQYwBlIGgwa/BwAHPQd2B7cIBghgCLQI+wk3CXAJpQnNCeMJ7gnxCe4J4gnTCcwJ0wnqCg8KRAqICtULJgt5C88MIwxrDKQM0gz8DSUNTA10DZwNyA36DjIOdQ6+DwMPOQ9eD4MPwBAjEKERGxF8EcAR9RIhEjgSLhIIEeARyhHMEeASCRJKEp4S+RNTE7AUGBSEFOkVQBWKFcYV8xYOFiMWPBZXFmoWaxZgFlUWUxZTFkwWPxY6FksWaBaAFokWjhaTFpEWghZ0Fn8WpBbHFtAWxRa6Fq4WkRZbFhsV5BW7FZkVgBV7FY0VphWyFaoVpRW6FeEV8xXWFaYVlBWmFbgVwBXyFnUXDBc8FtoWRhX+FhYWPxY/FiwWLxY/FjYWERXxFeoV8BXyFfUWCxZCFpsXCRdhF3MXOhb2FvAXOBeZF9EXyBeMFzYW3RaLFi4VnxTJE9wTUBOXFL4WVhe/GJsY+xkoGVEZcxmAGYAZgRmAGW8ZVBlAGTgZKxkOGO4Y1hi9GJAYVRggF/kX2BezF4wXYRcoFt8WlxZfFi8V8hWeFTsUzRRYE/ETuBOxE7sTrROJE3ITexOaE7gT0hPvFAsUFBQCE+gT3RPrFAkUJhQ1FDoUOxQ4FC8UIBQTFAMTvRLqEUMO4AxLCkcJWAl0ChoKvgsgC08LagtsC04LHQrxCsYKggoaCasJWAkiCO8ItwiBCE0ICgetB00HBgbWBqUGawY3BhcF/QXYBaUFdAVMBSsFDwT+BPUE5gTIBKIEgQRqBFUEPgQqBBYEAAPkA8kDtAOiA40DegN2A4cDpwPFA9ADuwOEAzIC2AKIAlECMQIdAgoB9gHgAcoBsAGPAWcBPgEbAQIA8QDiAM0ArQCIAGkAVQBIADsALAAcAAv/+P/h/8b/qv+P/3j/Y/9L/yv/Bv7i/sP+p/6M/nH+Uv4r/fn9zP26/cX91f3I/Zr9Yv07/Sz9JP0Y/Qj8+vzu/N/8yvy1/KT8lvyJ/IL8iPyX/J38j/xw/FD8Nvwj/Bb8EvwV/Bb8C/v6++776vvj+9P7v/uw+6n7ovua+5b7mfud+5z7l/uQ+4n7gvt++4D7hvuJ+4n7hfuA+3v7eft7+4D7h/uM+5T7ovu0+8H7yPvO+9b73fvi++b77vv6/Aj8FPwh/C78OvxH/Fv8dvyT/Kj8tPy9/Mr82fzo/Pj9C/0j/Tr9UP1j/XT9g/2S/af9vf3Q/d/97v4B/hP+Iv4v/kD+U/5h/mv+dv6E/pH+m/6k/rL+wf7K/tD+1/7h/ur+7/7z/vr/A/8L/xD/F/8e/yP/Jf8n/yn/KP8j/yD/IP8g/x//HP8a/xb/Dv8G/wD+/P74/vH+7P7o/uT+3v7Z/tj+1v7R/sv+x/7E/r7+tv6w/qv+pP6c/pf+l/6V/ov+fP5y/m/+bv5u/m3+bP5r/mj+Zf5g/lr+V/5Y/l7+YP5e/l7+Yv5p/mz+av5n/mb+Z/5s/nn+i/6a/qL+p/6u/rf+wP7J/tb+4f7o/ur+7f7w/vP+9f78/wn/F/8j/zD/P/9M/1T/Xf9q/3n/hf+P/5v/rf+9/8r/1//m//UAAQAOAB0ALQA7AEsAYQB3AIoAnAC1ANMA7wEKASkBTgFzAZgBwwH4AiwCVQJ1ApgCwwLvAxIDMANPA3EDlgO+A+gEEQQ0BFQEdgSbBMQE8wUpBWMFmgXKBfsGLQZbBn8GngbDBvcHOQd4B6gHzAf4CDAIRQfmBvIFwwUFBUEGfwhTCjoL6Q1LDmoPUBAAEHYQtxDUEN8Q4hDhEOIQ7REEERYRFxELEP8Q9BDdEKQQMw9xDlQM/Qu0CrQKBAmCCR8I7Aj6CSsJRwkxCPwIzwi2CJcIUgfiB1wG5wahBpUGsgbWBuIGyAaQBksGBwXHBYUFNATEBDEDigLsAmoB+gGFAQIAewAB/5D/F/6W/iD90P2p/Zj9iv1x/U39Ifzz/M/8vfy4/Lz8x/zZ/Or86fzF/If8Sfwi/B38M/xa/I/8x/z0/Qb89fzK/J/8kfyr/Nn8/f0M/Rf9Kf0q/Ov8afvg+6n76vxz/PD9Mv1M/WX9iv2i/Z79iv16/V/9Gfy2/Ib8x/1S/aj9cvza/FL8GPwZ/Cr8Qfxm/Ib8ivx7/H38nvzM/O/9Dv01/WD9g/2f/bz92f3o/ej95/3o/eb92/3P/c39zf3F/br9t/27/bj9qP2U/YX9ev1r/Vz9VP1U/VP9T/1L/U79VP1Z/V79Zv11/Yf9mv2s/b/90v3m/f3+F/43/lr+gP6l/sf+6P8M/zP/Wv9+/6H/x//tABQAOwBkAJAAugDgAQYBLgFYAYIBqAHNAfECEwIzAlECbgKOArEC1QL3AxcDOQNeA4YDrgPXBAQEMwReBH4EkQSbBKIEpwSqBK4EtgTBBMsEzgTOBM8E1QTdBOIE5QToBO4E9gT/BQQFCQUOBRQFGwUgBScFMgVABU0FWAVmBXkFjwWkBbcFygXdBe4GAQYVBigGNgZBBkwGVwZcBmIGZQZyBoQGjgaRBpIGmQaiBq0GugbMBt0G7Qb/BxYHLQdBB1YHcweXB7gH0gfpCAAIEggbCB0IHwghCCMILQhICHEIngjECN4I6wjvCPUJAwkVCSIJJgkvCUoJdQmjCcwJ5gnnCcwJqAmcCbMJ2gnyCfcJ+goIChsKKAouCjIKPApJClMKVQpNCj0KJAn/Cc4JmQlsCUkJKQkDCNQIoghtCDAH6AeUBz0G7gaxBogGZwZEBiAGBgX4BeoFzAWeBWcFMwUKBPEE4wTRBK4EgARZBEUEPAQyBCYEHAQVBBAEDgQSBBQECAPkA6sDZgMdAtUCjQJGAgsB2QGaATUAuABkAGsAqgC/AHT///+2/6T/iv82/sj+f/5s/nT+f/6D/m3+G/2I/OH8Wvv/+8X7p/uw+9/8HvxM/Fb8OfwI++T76PwL/C78PPw//EP8RvxE/FP8jvzg/Q788Pyv/J/86f1i/bf9vf2V/X/9qP4Q/pn/I/+a//cAPgB0AI0AbwAO/4j/C/6g/iD9aPyT++37pfuf+6b7oPuZ+5v7nvua+5P7lfug+6j7qfuj+5/7pvu8+9L71fvG+777zPvd+9P7qftv+yj61Pqw+yb8Uf2a/hD9UPvz+vb60Psx+477tfvL++r8A/v7+9n7ufup+6b7pvuf+5T7k/un+8T7zPuu+3/7YftZ+1P7Pfsh+w77Afru+tD6rvqO+mv6QvoW+en5vPmQ+WT5OfkJ+NT4nPhm+C/39Pe593z3Ovbz9q/2ePZK9hz16PW09Yb1WPUl9O/0ufSC9EP0BPPP86jzgvNU8yDy7PK68ofyVPIp8gXx4vG58Y3xYfE18Qfw2/Cy8I3wZvA78BLv7e/L76Xvdu897wLu0u6y7pzuh+5v7lfuRO4x7hjt9+3Y7cXtv+3C7czt3e3w7gXuH+5I7n/use7G7rDue+417eXtkO1I7SXtJ+0z7TDtIe0b7SftOO1D7UztWO1j7V/tTO007RztBezz7O7s+e0L7RftHe0f7SLtKO037U/tZ+1y7W/taO1m7WftY+1Z7VPtWO1t7Y/tuO3c7fLuAe4X7kTuiO7U7xXvQu9i74Xvtu/x8C3waPCn8O7xN/F58bTx6/Ie8knybfKP8q7yyPLi8wTzMvNi85HzwvP/9EP0gfS59PP1MvVr9Zn1wfXv9iD2UPZ+9qv21Pb09xj3Vfex+Bf4bPiv+Of5GPk5+VP5gfnf+nL7J/vl/Iv8/P0u/Tf9Pv1c/ZL91/4p/oj+5v81/3v/0ABBAL4BKQF2AbkCDQJ6Au8DUQOPA6wDswOxA7ADsgO6A8oD5AQHBC8EXQSSBM4FDgVLBYMFtgXlBhEGPgZyBq0G7AcsB28HuggJCFEIjgjECPsJMAlYCXMJhgmUCZcJiwl3CWoJbAl8CZsJzgoWCmoKvwsUC24LywwhDGUMmQzFDOwNCg0hDTwNaA2mDe4ONQ52DrAO4g8QD0QPjg/zEGwQ4RFCEY0RyhH3EgsR/RHWEa4RlxGUEaMRxBH9EkYSkhLaEygThhP0FGIUxhUbFWAVlRW3Fc0V5BYBFhwWKRYlFh0WHhYmFiMWEhYHFhYWPxZnFnkWeBZzFmwWXxZTFlUWZhZ4Fn0WehZ4FnMWXhY3FgQVzRWTFVkVMBUpFUEVYRVwFWwVZxV4FZkVqhWYFXoVeRWWFawVqxXFFikWqxbbFoMV8xWrFdEWIhZVFmkWehaIFnMWNhX1FdUV1xXgFdgVxBXMFiAWxRd5F9gXtxdPFwcXFRdiF7MX3BfNF4YXHRazFlgV5hUiFAsTEhLbE7oVYBcQGDYYwBj8GSoZUBldGVkZXRloGWgZUxk6GSsZHxkJGO8Y1BiyGH4YQxgWF/oX3xe5F4kXVBcWFtMWlhZnFjAV1hVZFNYUaxQgE/QT5RPlE9gTrxOAE24ThBOrE8sT4xP+FBkUIxQUE/sT8BP9FBwUPhRUFFwUWRRTFE4USxRNFD4T3RLKENIONQupCfMJawnOCoILDgtSC20LdwtvC0sLFwreCpoKPQnRCXgJPwkUCNwInQhpCD0IAAejB0AG+AbKBpsGYQYtBg8F+gXbBa8FggVfBT8FIQULBP0E7QTPBKkEigR4BGcETgQwBBQD/wPrA9UDvQOlA44DeANrA3ADiwOxA8sDwwOWA04C/AKqAmUCNAIYAgkB+gHlAcoBrwGSAW4BQwEXAPMA2wDLALsApQCKAG0ATwAwABP////1/+//4f/I/6n/jf91/1v/Pf8Z/vP+zv6x/pz+iv50/lj+Nv4M/d79t/2p/bf9yf2//Y79Tf0g/Rb9Hf0c/Qb86fzU/Mv8x/y//LD8nfyI/Hb8bfxw/Hn8fvx7/Gr8TPwn/Ar8BPwP/Bj8D/v7++376Pvi+9P7vvuv+6T7mPuO+4n7jPuP+477i/uI+4P7e/t0+3T7eft++3/7fft5+3X7c/t3+4D7iPuM+4/7mvuq+7f7vfvB+8r71Pvc++L76vv4/Aj8Ffwe/Cb8L/w5/Er8Yvx+/Jb8p/yz/MD8z/zh/Pb9DP0h/TX9SP1c/W/9gf2Q/aP9t/3J/df95v33/gr+Gv4q/jv+Tf5c/mj+dP6C/o/+mP6i/rD+vv7G/sr+z/7Y/uD+5f7q/vL++v8B/wj/EP8X/xv/Hf8g/yT/Jf8i/yD/IP8f/x3/Gf8W/xP/Df8D/vz+9v7y/u7+6/7o/uP+3f7Z/tf+1P7P/sr+x/7F/sD+uv61/q/+qv6k/qL+oP6Y/ov+f/56/nr+ef53/nf+eP54/nb+c/5v/mv+af5t/nL+c/5v/m7+c/56/n7+fv5+/n/+gP6E/o/+n/6t/rb+vf7F/s7+1v7g/u3++P79/v7/AP8D/wb/Cf8Q/xz/KP80/0T/V/9l/23/dv+D/5L/mv+i/7D/xv/Y/+H/6f/2AAgAGQAnADQAQABMAFwAbwCDAJUAqgDIAOoBBgEcATYBWgGEAa4B2gILAjoCYwKJArAC1wL3AxIDMANTA3QDjgOpA80D9gQdBEIEZwSOBLYE4gUYBVMFigW4BeIGEQZDBnEGmAa8BucHJAdsB6gHygfkCBIIQggdB1YGGQUYBQwGKAgFCgYLwg0eDiwPBg+9EFIQuhDrEPEQ4BDQEMwQ0hDdEOMQ5BDuEQgRJBEiEOEQUQ9tDj0M5AugCqQJ9QlyCQwI2QjnCRoJNgkbCOEItQikCJMIZQgUB7MHWQcXBvQG6gbpBtoGsQZxBikF5QWqBW4FHwSwBCEDggLrAmkB9QF/AQAAgAAI/5T/G/6g/jL95P25/aP9jv1x/Uv9Ivz7/N78z/zM/M/81fzf/Ov87vzb/LH8hvxv/HP8ifyo/Mr87f0I/Qz89vzU/ML81/0O/Un9af1v/Xj9jP2K/UL8uPw4/Bz8e/0U/Yj9r/2p/a/9zf3i/c79m/1k/Sb8x/xQ/Av8O/zC/S79LfzZ/Iv8c/yF/Kr84f0c/TL9Bvy+/KH8wfzz/Qv9EP0m/VX9hf2j/bT9xP3W/eL95/3k/dj9yv3F/cf9xP20/ab9rf3F/dH9wf2f/YH9cP1k/Vr9Vf1W/Vn9Wv1a/V79Y/1n/Wv9df2E/ZX9pv23/cv94f32/gz+JP5A/mD+gf6j/sX+5v8J/y3/U/95/53/wf/mAA0ANwBhAIsAswDaAQIBKgFSAXwBpQHLAe8CEQIzAlMCcQKPArEC1QL3AxcDOQNfA4gDrwPWBAIEMwRjBIUEmASjBK0EtAS2BLYEuQTCBMsE0QTTBNUE3ATkBOsE7gTxBPgFBAUPBRUFGAUbBSIFKQUvBTcFRAVTBV8FaQV2BYkFnQWtBb0FzwXjBfUGBQYZBi4GQAZNBlcGYAZjBnAGdgaEBpYGoQajBqUGrwa8BscG0gbjBvgHDwcmBz4HVQdrB4IHoQfHB+kIBgghCD0IUQhWCFAISghMCFYIbAiSCMUI+AkZCSEJFQkCCPYI+wkQCSYJNglBCVMJcwmfCc0J7QnuCc4JowmRCaQJyAnjCe0J+AoQCjIKUApmCncKiwqcCqUKnwqJCmkKRwonCgoJ8gnbCcAJlwlgCSII5AioCGYIGQfDB20HIQbiBqwGeQZMBjMGNAZCBkMGJwX1BboFgQVUBTcFKAUWBPMEyASoBJwElwSMBH8EeQR9BIAEfARwBF4EPgQKA8UDeAMpAtoChwIvAd4BnQFhARAArwBsAHQArgDMAJwARQAM//f/zf9q/vL+o/6P/pn+nf6L/lD93/1L/MX8dPxT/ET8OvxB/GL8j/yw/LD8jPxZ/Dn8Q/xm/IH8iPyO/J/8q/yk/KH8yP0S/T/9JPzk/NL9Gv2R/er9/f3i/c/96v5A/sT/Wv/iAEMAfQCWAI8AYAAI/53/Nv7J/jL9aPyZ/Ar70vvL+8r7w/vE+8/71PvN+8f7zPvZ++L75fvg+9f70PvX++v8Avwb/EP8f/yy/LL8c/wN+6H7TPtC+7/8sv2Q/a786fvZ+zv7SPuj++f8A/wc/ED8WPxS/Dr8H/wG+/H73/vO+7v7qvuq+7r7xfu8+6f7nvuh+5z7g/tj+077Qvsw+xH67/rR+rP6kPpp+kL6Gvnz+cv5n/lt+Tb4/vjH+I/4U/gW99r3mfdT9xD22Pao9nj2RPYU9er1wPWN9VL1F/Tc9J/0ZvQ39BDz5vO0837zSfMV8uHysPKH8mLyPPIS8efxvPGP8V/xL/EG8OHwu/CR8GjwQ/Ah7/vvze+Z72HvMe8O7vbu4+7M7rPunO6G7m3uVO5A7jbuNO447kDuTe5a7mPuce6N7rru4u7s7tDum+5a7hDtvu137VXtWu1p7WftWO1U7WLtde177Xftc+1x7WrtWe1A7SXtD+0F7QztHe0t7TTtNO017TjtQe1S7Wvtf+2C7XXtZe1f7V7tWu1S7U3tUu1k7YTtre3V7fLuBu4c7kLue+6/7wHvOO9i74vvve/58DXwbPCm8OnxMPF08a7x4/IU8j7yY/KF8qPyuvLO8uzzGfNO83/zsPPn9CP0XPSQ9Mf1A/U79WL1gPWh9c32APY79nv2tfbg9wL3Mfd799D4G/hX+I34v/js+SP5gvoW+sT7Zvvn/Ez8mvzP/O39Bf0n/Vb9kP3X/ir+f/7J/w7/Zf/aAFoAxgEVAVcBpwINAn0C5AMzA2IDeAN7A3cDcQNxA30DmgPBA+gEDgQ4BGoEowTdBRkFVwWUBckF9gYkBlwGnQbdBxkHVgeYB9kIEghDCHIIoAjICOsJDAkqCT4JQgk6CTMJMwk7CVAJewm+CgwKWAqlCvwLYAvEDBgMWgyNDLMMxwzPDN8NDA1WDaoN9A4vDmEOkQ7HDwkPWw/AEC4QmxEAEVoRoxHTEeMR1RG2EZQRexFuEXERhxGzEe8SLhJqEqsS+xNeE8sUNxSXFOYVJBVOFWkVgRWfFcAV2RXhFeEV6BX2FfwV8hXjFe0WFBZDFl4WXxZSFkQWORYxFi0WLxYzFjkWQRZLFkoWORYYFe0VtRVuFSgU+hTzFQcVHhUoFScVJxUzFUoVWxVgFWQVfRWcFZ0VexVxFboWOxaDFkkVxBVxFZMV/RZgFpsWuxbEFqgWYRYLFc8VuRW3FaoViBV3FbcWYhdDF+4YGRfVF3IXOBc8F24XshfiF9cXiRcXFqcWMRV6FGYTQBKtEyoUnxZfF7oYeBjQGQsZNhlDGTkZOBlHGVIZRhktGRcZBhjxGNUYthiRGGQYOBgaGAUX5RexF3QXORcCFsgWjhZUFgYVlRUMFJAUQBQaFA4UCBP5E9YTpBN+E3sTlxO4E9AT6xQPFC8UNxQlFA8UCxQeFD0UWRRqFG4UahRoFGsUdRSCFG8T6xKUEFANjQscCbkJigofCtQLSAtyC3sLdgtjCz4LDQrWCo4KMAnKCXkJQQkOCMwIiAhTCCYH5AeFByIG3QazBogGUwYjBgcF9AXXBa8FiAVrBVIFNwUfBQsE8wTRBK0EkwSGBHcEXAQ5BBwECQP4A+EDxQOtA5oDhwN0A2oDcQODA40DgQNhAzgDBwLJAoACPgIUAgEB9AHeAb8BoQGIAW0BSgEeAPMAzwCyAJ0AiwB7AGoAVAA4ABwACf/8/+v/y/+h/33/Zv9U/z3/G/7y/sj+pf6K/nr+bv5e/kP+Hv31/c79rf2c/Zv9of2W/W79Nv0M/Qj9Hv0s/Rv88fzI/LP8r/yt/Kj8n/yR/H38ZfxR/Ez8Wfxu/Hj8a/xJ/Cb8FfwX/Bj8Cfvv+9n7zvvH+737svup+6L7l/uK+4T7g/uD+4L7gvuE+4P7e/tw+2v7bvtx+3L7c/t0+3T7cvt0+3z7hfuJ+4r7kfuf+6v7svu2+777yvvU+9z75vv2/Aj8Ffwd/CP8LPw2/EP8Vfxs/IT8mvys/Lv8yvzd/PT9DP0g/TD9QP1T/Wn9ff2O/aD9s/3E/dP94v3y/gX+Fv4m/jf+R/5V/mL+cP5+/ov+lf6g/q7+uv7A/sT+yP7Q/tf+3P7h/uj+8P73/v7/B/8P/xP/Fv8a/x//If8g/x7/Hv8c/xf/Ef8O/wz/CP8B/vn+8v7s/uj+5v7l/uP+3/7b/tf+0v7M/sj+xv7E/sH+vv66/rX+rf6n/qT+oP6X/o3+iP6J/or+h/6D/oT+hv6H/oT+gv6A/n/+f/6B/oT+gv5//n7+hP6M/pH+lf6Z/p3+nf6e/qX+s/7C/s3+1v7f/uf+7/76/wj/E/8Y/xj/GP8Z/xr/Hv8n/zP/P/9K/1r/bP97/4X/kP+g/67/tP+5/8j/3v/v//b//QALAB4ALgA6AEYAUwBiAHMAhwCcAK4AxADhAQEBGwEwAUgBbQGZAccB9QIhAksCdAKgAswC7AL8AwoDJQNPA3YDjgOiA78D5QQNBDUEXwSJBLEE2gUMBUUFfQWqBdIF+gYmBlYGiAa2BuIHFQdWB5YHuwfHB+IIFggcB48GbQVVBRQGCAfdCesLrQz1DdsOlA9QEBIQsBD9EPkQ0xC6ELsQxhDKEMgQzRDlERERNhEvEN0QOA9IDh0M1QujCrAJ/QlwCQAIxQjSCQYJHQj0CKsIewh3CH8IcAhACAEHwweIB1EHIAb1BskGkgZNBgMFvgWGBVAFCASfBBMDeQLmAmYB8QF+AQgAkQAZ/6D/J/60/lP+C/3c/bv9m/13/U39Jf0C/Or84fzm/PH8+vz9/Pv89Pzi/Mn8tvy3/M386/0C/Q/9F/0Z/RH8/vzt/Pj9Kv11/bb91f3a/d395P3O/Xr8+vyX/Jf9Af2U/f7+G/4J/fr9//3+/dn9kv1A/On8efv7+6z7yvxG/Mf9Avz6/OT83Pzm/Qr9V/2z/db9nv1D/SD9Tv2I/Y39a/1c/Xn9oP2v/av9sf3Q/fj+EP4J/ez9z/3D/cT9vP2o/Z39tf3l/gT98v29/Yn9av1e/Vn9Wv1f/Wb9av1s/W/9cv11/Xr9hP2S/aL9sf3C/df97v4F/hv+M/5M/mb+gv6h/sT+5/8J/yr/Tv92/53/wv/nAA4AOgBkAIsAsgDcAQcBLwFWAX4BqAHPAfECEAIyAlQCcwKRArMC2AL7AxsDPANjA44DtQPaBAUEOARqBI4EogStBLgEvwTABLwEvQTEBM8E2QTgBOUE6gTvBPQE9gT5BP4FCAUTBRoFHQUiBSkFMQU3BT4FSwVbBWYFcAV9BZEFpAWxBb4F0gXnBfkGBwYYBi0GPwZLBlYGYgZsBoAGhwaTBqIGrAawBrUGxQbYBucG8gcDBxsHNgdQB2gHgQebB7oH4ggMCC8IRwhdCHQIhAiDCHYIcAh8CJYItwjfCQ0JNQlFCTUJEgjwCOEI6gkECR4JLwk5CUYJYAmLCb8J6Qn1Cd8JtgmbCZwJtAnPCeUJ/QodCkYKcAqYCrwK2QrqCugK1Aq0CpEKdQpmCmMKZQpeCj8KBAm4CWsJJgjlCJ4ITQf2B6EHVQcRBtIGmAZsBl4GbgaGBokGawY4Bf4FyAWaBXsFagVZBTsFGAUCBPwE9QTiBMsEvwTCBMMEtwSdBHoETAQTA88DhgM5AucCjAImAcMBdAE7AQUAywChAKcA1ADyANgAlwBcADD/8v+O/yL+3P7E/r7+rP6A/jH9v/1F/O38zvzW/OT86/z0/Qb9GP0c/Qf83fyu/Jf8pfzG/Nr83vzn/P79Cfz6/Oz9DP1R/X/9av00/Sb9Zf3J/hX+LP4i/h/+QP6S/w3/mgAdAIAAugDEAJ4AU//8/7D/Z/77/k79dPyw/Df8Cfv9+/T78Pv5/Ab8B/v++/v8BfwT/Br8G/wY/BD8BvwG/B78TvyZ/Qf9kP4B/hf9tP0B/Ef7y/u5/B78xf07/SH8hfvh+6P7y/wO/DX8Svxo/Ij8l/yT/Iz8hPxw/FH8Mvwa/AL76vvd++X78vv1++376vvp+937wfuj+5H7hftx+1L7MPsT+vj62/q6+pj6dfpQ+ir5/vnK+ZP5XPkn+O/4svh0+Db39/ez93L3OfcG9tX2o/Z39lH2KPXz9bT1cvU09Pv0yvSe9HT0Q/QM89Tzn/Nr8zfzCfLj8r/ylfJo8j3yE/Hm8bLxgPFX8TLxDPDj8LvwlvBz8E7wI+/x77vvie9j70rvN+8k7w/u+u7l7s/uu+6v7qnuqO6n7qnuru6y7rPuuO7M7u/vDu8R7vLuv+6B7jbt5O2h7YPti+2b7Znti+2I7Zbtpe2k7ZbtiO2B7XvtbO1R7TLtG+0X7SbtPO1K7UztTu1T7VztZe107Yntme2X7YTtb+1j7V7tWe1U7VLtVu1l7YLtq+3X7f3uGu407lLueO6r7ujvJ+9e75Dvx/AF8ELwefCv8O7xNfF28a3x3PIF8ifyRfJj8oPyofK58tjzBfM983Pzo/PT9AX0NfRi9JX00fUJ9TD1SfVh9YD1qfXg9if2dPa09uP3EPdI94j3x/gD+D74d/iy+Qb5kfpL+v/7e/vA+/f8PPyG/MH85/0G/Sj9U/2L/dH+Hv5j/qb++v9q/+cAWACyAP0BSgGgAgACYQK4AvgDHwMxAzUDMgMvAzYDTwNyA5MDsAPUBAQEPQR2BK8E7gUvBWcFlAXCBfsGPAZ3BqkG3AcZB1kHjge2B9kIAAgsCFwIjwjDCO4JCwkYCR4JIgkoCTgJXAmUCdYKFQpTCp0K+wtgC78MEAxSDH0MjgyPDJsMyg0WDWoNsA3kDhEOQQ58DsYPHw+BD+YQTxC9ESkRfhGqEbERohGNEXYRXxFKEUIRTRFqEZYRyRICEj8ShBLWEzcTnhQCFFkUoBTWFP4VHRU8FWEVghWWFZ0VphW6FdEV2BXRFdEV6RYRFjIWOxYwFh4WDxYIFgMWARYBFgsWHhYwFjMWJBYGFdkVlxVGFP4U2RTYFOEU5hToFPMVBRUTFRsVIRUvFUwVdRWRFX8VRxUpFWgV8hZcFksV0hVkFV0VtxYtFokWvRbNFrcWfBYrFeEVrxWVFX0VXRVFFWQV4BarF4AYEhg8GBAXuRdpF0kXaBevF+YX3heSFyIWmxXlFOETtBLhEvUUDRWvFykYGRiWGOIZFxkvGSsZJRkrGTAZJBkMGPUY4xjNGLAYkRhwGE8YLxgWF/oXzxeTF1gXKhcCFs4WhBYnFbsVRxTdFJAUZBRKFDAUEBPoE7oTkROAE44TqxPFE9sT/RQtFFEUUhQ4FCIUJxRBFGAUdRR/FH8UfBR8FIQUlhSoFIUTzxIvD60M4gqwCa0JyQpyCxILZgt+C3wLbwtSCycK+ArGCoYKMwnVCYIJPgj+CLkIdwhBCAwHwwdlBwgGxgaZBnAGQQYaBgIF7QXOBaYFgwVsBVsFSQUyBRgE9wTSBLEEngSUBIQEaQRJBDAEHgQLA/ED2APFA7UDnwOCA2cDVgNKAzcDHQMHAv4C9QLTApICSAITAfkB6QHRAa4BjQF0AV4BQgEdAPEAyACjAIcAdABpAF8ATwA5ACYAGQAJ/+f/sP91/0z/O/8z/yH/Af7c/rj+mP56/mL+Uf5B/in+CP3k/cX9qf2Q/Xz9cv1o/VP9Lf0K/QL9F/0v/Sj8/fzJ/KT8lPyP/Iz8jfyN/IP8aPxF/C78L/xG/GH8a/xf/Ef8M/wn/Bv8BPvk+8b7svul+5z7mPuX+5f7kfuI+4P7gft/+337fvuC+4L7evtu+2b7Zvto+2f7aPts+3D7b/tv+3P7e/uB+4P7h/uR+577pvus+7T7v/vJ+9P73/vx/AT8EfwZ/CD8Kvw2/EL8Tvxf/HX8jvym/Lr8y/zc/PH9Cf0e/S79Pf1P/WX9e/2P/aD9sv3C/dL94P3w/gH+Ev4j/jP+Qf5O/lv+af52/oP+j/6b/qf+sf63/r3+w/7K/s/+0/7Y/t7+5f7t/vX+/f8D/wb/Cv8Q/xX/F/8W/xb/Ff8T/w3/B/8D/wP/Av7+/vj+8f7r/uX+4P7d/tv+2v7Z/tX+z/7L/sn+x/7E/sH+wP6//rn+sP6o/qT+of6Z/pL+kv6W/pf+lP6R/pT+mP6X/pP+kP6R/pP+k/6T/pT+kv6Q/pL+mP6g/qf+rf60/rj+t/62/rv+x/7V/uH+7f73/wD/CP8U/yP/L/80/zT/NP80/zX/OP9C/1D/XP9m/3P/gv+O/5f/pf+5/8r/0v/X/+P/9AACAAsAFgAoADcAQABFAFEAYQB0AIkAoQC5AM4A4QD3AREBKwFEAWIBhwGxAd0CCgI3AmICjgK/Au0DBwMKAwoDHgNGA20DiQOgA8AD5QQIBC0EWASFBK0E1AUCBTgFbQWcBcYF7AYQBjkGcAatBuAHCgc9B3kHowetB7kH5wgJB7EGuwWkBUEGDwfWCegLpgzKDXQN/g66D64QjhEAEPsQyBCtELcQwhC9ELYQwhDmEQ8RIREAEJsP8A8HDfEMwwumCrwKBwlyCPoIugjHCPsJCAjICGkINQhFCG4IeQhbCCoH+QfDB4EHNgbvBrIGeQY7BfYFswV6BUgFBQSfBBQDewLrAmwB+QGHARYAowAq/6z/Mv7H/nP+M/4D/dn9sf2H/Vz9Nf0U/P389Pz8/Q/9If0m/Rz9Cfzz/OD82/zs/RH9Ov1S/VX9S/0+/TL9KP0o/UX9gf3N/gv+Kv4z/jP+Kf4A/az9SP0H/RD9X/3K/h3+Pf4w/hX9/v3m/bn9cf0X/LT8QvvM+3/7kfwC/JX9B/0+/UP9I/z4/PH9OP2v/fv96/2z/bX+A/5N/kj+Bf3O/cf90P3C/af9qf3a/h7+Sf5A/hD93f3C/bv9sv2f/Zv9wP4B/iv+GP3W/ZH9af1c/V39Yv1r/XX9ev17/Xv9ff2B/Yb9jv2b/an9uf3M/eP9+v4R/ij+Qf5a/nL+i/6o/sz+8f8T/zH/U/96/6L/yP/sABQAQABqAJAAtgDiAQ4BNgFbAYEBqgHQAe8CDQItAlECcgKSArUC2wL/Ax4DPwNoA5QDugPdBAYEOQRsBJIEpwS2BMMEywTJBMQExATMBNcE4gTsBPME9wT4BPoE/QUABQUFDAUUBRoFHgUjBSwFNQU7BUEFSwVYBWMFbQV8BZIFpAWwBbwF0AXmBfgGBgYWBioGOgZDBk4GYAZzBooGkwacBqsGtwa+BsoG3gb3BwkHGAcqB0UHYgd+B5kHtgfYCAEIMAhcCHcIgwiMCJwIqwirCKEIogi4CNoI+QkQCSgJPAk8CSEI9gjTCMkI1QjtCQMJEwkfCS8JSgl0CaoJ3woACgEJ6AnICbYJugnRCfAKEwo3Cl4KjArACvMLGAskCxcK+grbCsQKugq/CtAK4QrfCrcKawoOCbgJbgkmCNYIfwgpB9YHiQdABv0GxQagBpoGrAa/BrkGlQZjBjAF/wXSBa8FmgWHBW8FWQVQBVEFSAUrBQcE8ATnBN4EyASkBHcERAQMA9ADjwNHAvQClgIwAcsBewFJATEBHwERARMBJQEwARcA2wCTAE0AAv+t/17/KP8H/ub+t/52/iT9yv17/VL9Uv1o/X/9j/2c/aH9lv15/U/9Ifz7/O38+/0W/Sj9MP09/VL9V/1F/Tr9W/2c/cj9wP2h/aL92P4i/lb+Z/5o/nf+qf7//2r/1gA8AJoA4ADtAK4AQv/k/7L/iP8h/mb9iPzY/Hf8T/w2/CL8Hvws/Dj8Nvwv/Db8SPxU/FL8TfxM/E38TPxU/HL8s/0o/d3+v/+A/7j/N/4x/Rn8U/wM/C78e/yn/Ir8Q/wT/B/8Tfxy/IX8nPy8/ND8zvzG/Mr80PzD/KP8hfxx/GD8TPxB/Ef8U/xT/Ef8Ofwt/Bv8APvn+9b7x/uw+5H7c/tZ+0H7J/sJ+uj6xfqg+nr6T/od+ef5sfl++Uj5DPjN+JH4VPgV99X3mvdl9zP3BPbb9rb2i/ZU9hL1zfWP9Vv1MPUH9Nf0nvRh9Cnz9fPB84zzYPM88xny7vK+8pLyZ/I48gPx0fGo8YbxYfE38Q7w6PDF8KHwePBJ8BPv4O+375zvie9472fvVu9E7zDvIO8X7xXvFO8P7wrvBe8A7vvu/O8L7ybvPe897yHu8e6w7mDuDu3Q7brtw+3O7cftuu247cTtzO3B7artmO2R7Y3tge1m7UXtLu0t7UDtVu1i7WTtau147Yftke2c7artte2v7Zrtge1u7WHtWe1U7VbtXe1r7Ybtru3c7gfuLe5M7mbugO6j7tjvGO9W747vyPAK8EvwhfC98P7xRvGJ8b7x6fIL8h/yKvI58lfyfvKj8sby9PMt82jzmPPB8+f0DfQ39Gj0oPTU9Pz1F/Uw9Uj1ZPWL9cn2HPZv9rL25PcQ9z/3dPe09/v4QviN+Pj5nvpp+xn7ffup+9j8KPyC/MH84Pz0/Q79Mf1c/ZP90f4N/kz+mv8E/4D/+QBfALIA+wFBAY4B4gI1An0CswLYAvAC+AL2AvYDBgMgAzoDUANuA5sD0wQKBD8EegS5BPMFJAVWBZIF0AYEBi8GXwaeBt4HDgcrB0cHcQerB+wILwhwCKsI2Qj3CQwJHAkuCUUJagmcCdUKDApACnsKwwsXC28LxwwTDEYMWwxfDG4MmwzfDSUNXw2NDbkN6w4pDnkO1g84D5kQARB6EPMRTBFwEWoRWRFPEUURNBEfERYRHBEsEUURbBGkEeQSJBJkErATChNpE8EUDRRRFIsUuRTfFQUVKxVGFVIVXBV0FZgVthW+FbkVvRXUFfMWBhYDFfEV3RXRFc0VzhXTFeMV+xYSFhsWExX6FcgVeRUdFNcUvBS8FLcUqRSrFM8U/xUZFRMVAxUDFRsVQBVZFU4VJhUVFVMV3BZZFmkWARV4FTQVWxXEFjIWfhahFp4WfhZLFg4VzxWXFWkVRBUnFSQVWhXhFqwXihg4GIEYXRfyF4IXSBdWF5MXyBfLF48XHxZ4FYoUYhNaEv4TnxUFFo0XrxhTGKwY5xkNGRoZGhkaGRQZAhjoGNIYwBirGJAYdBhaGD0YHBf4F9AXoBduF0gXMRcUFtUWaRXkFWQVBhTUFMEUsRSKFE0UChPQE6MThhOCE5kTuhPWE/IUHRRSFHMUahRIFDMUPhRdFHoUjBSUFJYUlBSRFJMUoBSlFGATaRF8DtEMKQpcCcoKJQrMC0ULeAuEC4ELbgtHCxIK3QqqCnEKJwnSCX0JMgjvCK4IcAg1B/YHrAdZBwcGwwaNBl4GNAYVBf4F5AW/BZYFdQViBVkFTgU7BR4E9wTQBLUEqASfBI4EdQRbBEcENAQfBA0EBAQAA/EDywOWA2QDPgMcAvQCzAK2ArkCxAK2AoYCRQIQAfIB4AHHAaUBgQFjAUgBKgEHAN8AuACVAHsAawBiAFUAPgAiAA4AB//8/9j/mv9Z/zD/I/8d/wv+7f7O/rP+l/50/k/+Mv4d/gj97v3R/bj9of2G/Wv9V/1P/Uj9M/0S/P39Av0V/Rb8+PzK/KT8jvyA/HX8cPxz/HP8ZPxG/Cf8Fvwa/Cv8P/xH/EL8Nfwn/Bf8BPvr+9L7u/uo+5j7j/uN+477jfuI+4T7g/uC+4D7gPuA+337dPto+2L7Y/tl+2P7Yvtm+2r7avto+2n7cPt3+3n7e/uC+477mvuh+6j7sPu6+8b71Pvm+/j8BvwQ/Bj8JPwy/D/8SvxX/Gn8g/yg/Lr8zfzd/PD9B/0e/TH9QP1R/Wb9ff2S/aP9s/3B/c/93f3r/fv+DP4c/iv+Of5H/lT+Yf5t/nr+h/6T/p3+pf6r/rT+vf7E/sf+yv7Q/tf+3v7l/uz+8v71/vf++/8B/wX/B/8G/wf/CP8G/wL+/f76/vn++P73/vT+8f7t/uf+3/7X/tL+0v7S/tD+zf7L/s3+zf7J/sT+w/7D/r/+tf6t/qv+qf6j/pz+m/6e/qD+n/6h/qf+q/6n/qH+nv6g/qP+o/6k/qb+p/6n/qn+r/61/rv+wv7J/s3+y/7L/tH+3v7r/vb/Af8O/xj/If8s/zv/Rv9L/0z/Tv9R/1P/Vv9f/2z/ef+E/5D/mv+h/6j/tv/N/+H/7f/0//4ACgAUACAAMQBEAE4ATgBQAF0AcQCFAJgAsADKAOAA8QEDARsBOQFaAX4BowHHAe8CHgJRAoMCsQLfAwQDFgMWAxYDJgNDA18DeAOYA8ED6AQGBCUETgR6BKIEyAT3BSkFWQWGBbcF5AYHBioGYQaoBuMHBgcrB2IHkwekB6sH0ggAB8gG8AXeBWUGGQfUCeULlgyWDQgNZQ4cDzcQTBDjEO0QvxCtELgQuRCkEJgQrhDYEPUQ7RC2EEoPpw7ODcoMrAuWCqoJ8AlaCOQIqwi/CPUI+gioCDoICAgsCGwIgghjCC8IAAfOB4gHLwbYBpUGZQY4BgMFxgWMBVYFEQSpBB0DhQL6AoACDQGYASMArQAy/7L/Ov7X/o3+VP4j/fb9y/2g/Xj9Vf05/SL9Ev0Q/R/9Nf1B/T39K/0U/QH8+/0M/TT9Y/2F/ZH9jf2G/YD9e/1//Zj9yv4H/jv+W/5q/m3+XP4w/e79rv2J/YT9mv3B/e7+Dv4P/fT90v23/ZT9VPz2/Ir8HPu5+3n7gfve/Gz88/1D/Uj9B/yn/HL8oP0b/Yn9rv2v/d3+Rv6f/qH+XP4Y/fr96f3G/Z79nf3V/iT+Vf5N/hj93P24/a39pv2Z/Zj9uv32/h7+Df3O/Y39af1h/WX9bP12/YD9hv2G/YX9iP2N/ZL9mf2l/bT9x/3d/fT+DP4i/jj+Uf5s/oX+nv67/t7/BP8l/0L/Yv+I/6//0//1ABwASAByAJgAvgDoARMBOQFbAX8BpgHLAesCCQIrAlACcwKVAroC4AMCAyEDQgNsA5gDuwPaBAEENQRoBI4EpwS7BMsE0wTRBM4E0ATYBN4E5ATtBPYE+wT7BPwFAgUIBQ4FEwUaBR8FIQUlBS0FNwU+BUQFTAVXBWEFbQV+BZQFpwWxBbwFzwXnBfwGCwYcBi4GOwZCBkwGYQZ5BpEGnAaoBrgGyQbXBugG/gcWBykHOgdRB24HjwewB9EH9AgaCEQIcAiVCKYIpAikCLQIzAjZCNoI4Qj4CRMJHAkTCQkJCgkJCPgI2QjACLgIwAjOCN0I7gkFCR4JOwlgCZMJzwoECiAKGwn/CeMJ2gnqCg0KOAphCosKugrwCyMLRQtNCzwLIgsNCwYLDAsbCzALQgs+CxIKvwpeCgQJtgllCQsIrQhVCAMHsgdjBxwG5wbLBssG2gbkBtUGrwaCBlcGLAX+BdYFuQWjBY8FggWDBYoFggViBTcFFgUABOkEyASdBGwEOQQFA9IDmgNYAwsCuQJlAhQB0gGsAaUBqwGpAZoBhQFqAT4A/ACuAGEAHP/e/6n/ff9Q/xf+0f6G/j7+Av3c/dT93/3w/f/+D/4c/hb99P3C/ZL9b/1W/Un9TP1a/Wj9dv2I/Zj9mf2M/Yr9rf3m/hD+G/4c/jT+Y/6T/q/+tv64/tH/EP9t/8gADABJAJkA7QEDALMAKv/E/6j/l/81/nP9n/0K/MP8nPx0/FL8TPxc/Gj8Z/xp/Hz8k/yZ/Iz8f/yB/I78nvyx/NL9E/2W/nP/lACTAO0AZf8z/eH84/xh/Dv8PvxD/EL8Svxp/Jb8ufzK/Nr89v0T/Rf9B/z7/QH9CPz7/N38xPy3/Kz8oPya/J/8pvyf/Iv8dvxl/FT8QPws/Bn8BPvr+9D7uful+477c/tU+zL7DPrn+sP6nPpu+jj6A/nP+Zr5YPkj+Oj4sPh1+Df3+/fE95L3Z/dA9xn26vav9m32KvXu9b31k/Vp9TX09/S59IL0T/Qa8+Tzt/OT82/zRPMU8uXyt/KG8lPyJvIC8eHxvPGR8WXxPfEZ8PXwz/Ci8G/wPPAS7/Tv3u/M77vvq++b74nvfO9373fvde9t72HvVO9H7z3vPO9J717vbu9u71nvLe7q7pXuQ+4M7f3uA+4D7fXt5+3n7fLt8e3c7b7tqO2h7aDtlu1/7WHtTe1N7V/tc+1+7YLtjO2f7bHtvO3E7cztz+3F7a7tlO187WftWO1S7VbtYe1y7Y3ts+3e7gjuMO5W7nfuku6x7t3vFe9P74jvx/AP8FbwlPDS8RrxafGv8eXyDvIq8jHyJvIg8jXyYfKP8rjy5fMg817zj/Ow88rz6vQR9ED0cPSa9L303vUB9SH1OPVR9X31x/Yd9mv2pvbR9vn3K/dw98b4IPiA+P35q/pz+xn7ffu5+/78Wvyp/Mv8z/za/Pr9I/1J/W39lv3G/f/+TP63/zT/sAAaAG0AsADsASsBcwG/AgcCSAKBAq4CxQLEArsCvwLSAucC+gMRAzcDZwOZA8sEAwRABHwEtATvBS8FbAWbBcMF9wY5BngGoAa2BtUHDAdWB6IH5wgmCF4IjgiyCNQI+gklCVIJfwmwCeUKHgpTCoUKtgruCzELgQvPDAcMIgwvDEUMcgyrDOANDA03DWUNmQ3ZDisOjQ7wD1APtxAwEK0RBhEmER0RDxEOEQ0RARDyEO4Q9RD8EQURHxFUEZYR0hIFEj0ShxLbEywTeRPHFBQUVhSHFLAU2hT9FRIVHRUyFVcVgBWXFZgVkhWaFa8VxBXJFbwVphWWFZEVlRWhFbQVzRXjFfIV9hXnFbYVYRT/FLgUnBSRFHcUWBReFJoU5xURFQoU7xTfFOMU8xUHFRQVFRUeFVMVvhYxFlwWGBWQFSIVEBVYFcQWHhZNFlsWWhZQFjUWABW2FWwVMxUNFPQU9RUwFcIWoheVGE4Ymhh0GAQXgxcrFxsXSheIF58XeBcNFlMVQRQPE0MTXRRqFekXOBgIGHAYqRjQGOoY+Bj/GPsY6BjLGLAYmBiAGGYYUBg6GB4X+RfOF6MXexdbF0cXNRcLFq8WJRWMFRQU2hTXFOUU2BSeFEkT/BPGE6AThhODE5oTwBPlFAoUOhRqFIEUcRRQFEAUTxRvFIsUnRSnFKsUqBSeFJMUixRpE+QSmxBrDbwLYgoYCfkKhQsbC20LiAuRC48LdgtECwcKzQqWCl0KGgnOCYAJNgj2CLkIeQgzB+0HqQdmBx8G1gaRBlcGLgYTBfkF2AWtBYMFYwVTBU0FSAU6BRwE9ATMBLQEqgSjBJMEfgRqBFgEQwQvBCwEPQRQBEMECgO3A2oDMwMHAtgCqgKLAoECgQJ2AlcCKwIFAesB2AHCAaMBgAFaATQBDQDmAMAAnQB+AGkAYABbAEwAKwAA/+L/2v/W/7//jP9R/yj/F/8L/vT+1P62/p/+h/5l/jv+Fv39/ez92P2//aj9lP1//Wb9UP1F/UL9NP0V/PT85fzq/O784PzE/Kz8m/yH/G38V/xR/Fb8WfxP/Df8G/wF+/78BvwU/Br8FfwK/AP7//v8+/b76/va+8P7rvuh+5z7l/uQ+4j7hfuF+4b7hfuB+3v7cftn+2P7Zftp+2n7Zvtn+2v7bPtq+2n7bvtz+3T7c/t3+4D7jfuV+5r7n/uo+7X7xPvU++b79vwC/A38Gvwp/Dj8RvxT/GP8evyY/Lb8zfze/PD9Bf0d/TL9Q/1T/Wf9fv2T/aP9sP29/cr91/3l/fT+Bf4V/iP+Mf5A/lD+Xv5p/nX+gf6N/pT+mf6h/qv+tf67/r/+xP7L/tT+2/7h/uX+5/7o/ur+7/70/vf+9/74/vr++/75/vf+9f70/vH+7f7r/ur+6/7q/ub+4P7X/tH+z/7P/s/+zP7M/tD+0f7N/sj+x/7I/sX+vP61/rX+tf6w/qn+pv6n/qn+q/6w/rf+uP6z/q3+rP6u/q/+r/6y/rj+vP69/r/+w/7H/sv+0f7Z/t3+3f7g/ur++f8F/w//Gf8l/zH/Ov9E/1D/Wf9d/1//Y/9p/23/cf93/4L/j/+c/6n/sv+3/7z/yP/d//IAAAAKABQAHgAnADUASABZAF4AXQBjAHQAigCcAKwAwADYAO0A/gESAS4BUAFzAZkBvQHhAggCOgJ1Aq4C2QL0AwADBQMMAx4DOANNA1gDaAOLA7oD4QP7BBkEQgRsBJAEtgToBRwFRgVsBZ0F1gYDBioGYAapBuYHAwccB08HiQelB68H0wgBB9QHBQXxBW0GEwfFCc0LcgxaDK8M9Q2mDs0P+BCpEMsQthC2EMMQtRCPEH8QmBC7EMQQqBBtEA8Pfg6zDbYMmAt7CoIJwAkrCMEIlAiwCOgI6giTCCYH/ggwCHcIighiCCoH/gfOB4IHHQa6BnMGTAY0BhUF5QWqBWoFHASuBCQDkgMQApsCJQGoASoArwA0/7j/R/7u/qr+cv4+/g/95P28/Zj9ev1l/VD9Of0o/Sj9OP1J/VD9SP04/SX9Gf0g/T79a/2X/bn90/3k/ez96P3g/eX+Af4q/lP+cv6H/o/+hP5i/jb+Ef32/d39wP2x/bz90/3Y/cP9qv2f/Y79U/zn/Gz8BPu4+4r7hvu9/CL8ivzJ/Mb8hfwq+/L8Dfxv/Nb9Df0q/WT9yP4h/jf+FP3s/dn9yP2k/YH9gv2x/fD+GP4V/e/9w/2n/aH9oP2Y/ZL9o/3G/d/90f2m/Xz9av1q/W/9c/18/Yf9jf2N/Y39kv2Z/aD9qP21/cj93f31/g3+Jf46/k7+ZP59/pj+s/7Q/vP/F/84/1b/d/+d/8L/5AADACcAUAB6AKEAxwDuARUBOQFaAX0BogHGAecCCQIvAlYCewKfAsUC6QMJAyUDRwNyA5wDvAPaBAMEOQRsBJAEqAS9BM4E1gTUBNQE2QTgBOAE3wTlBPAE+AT5BPsFAgULBRIFFwUdBSEFIwUkBSoFNQU/BUcFTwVbBWkFdwWJBZ4FrwW6BcUF2QXyBgkGGgYqBjoGRgZLBlMGZgZ/BpsGqga5Bs0G4Qb0BwcHHAcxB0QHWQd1B5cHvAfhCAcIKwhMCGsIjAinCLMIsAi0CM0I8wkNCRUJGwksCTgJKAj+CNYIyQjPCNMIygi8CLUItQi4CMEI1wj3CRgJNQlUCYEJwAoACiwKNwonChAKBwoUCjYKZgqbCtELBQsyC1YLawtwC2cLWAtPC1ALVwteC2YLawthCzcK7QqUCkAJ8QmZCTYI0gh3CCIHywd1BysG+QbkBucG9gb7BuoGxwagBnwGVQYnBfsF2AW/BawFoQWlBa0FpAWDBVgFMgUTBO8EwwSTBGUENwQKA+ADtAN/A0MDCQLXAqcCegJbAlECUAJAAhEBzwGKAUcBBQDEAIkAVwAsAAP/1P+b/1b/C/7C/of+YP5S/lX+Xf5f/mL+bP5y/mD+Nf4G/ez95P3d/cv9t/2t/bD9vf3P/dz93P3V/dr9+P4l/lD+cv6U/rz+4f79/wr/CP8E/xf/XP/EAB0ARwBiAKEA9QEMAK4AE/+v/6X/o/8//nr9tP09/Q385/y0/Iv8hvyY/KX8pvyv/MX82PzX/Mb8ufzA/Nb88f0M/Sn9XP3L/pz/vADEAS8Auf+a/lT9WPzF/ID8Zfxj/Hr8pfzU/Pb9Bv0T/Sz9TP1e/VX9Qf05/T/9P/0s/RD8+vzu/OL81fzO/ND80PzE/LH8ofyX/I38gPxu/Fj8P/wn/BP8A/vw+9f7ufuZ+3b7UPst+w366/rA+oz6Vvoh+ev5sfl2+T75CPjR+JX4Wvgi9/P3zPen93v3RfcG9sX2h/ZO9hv17vXA9Yv1T/UU9N70qfRy9Dz0D/Pq88XzmPNm8zTzA/LR8qPyfvJh8kHyGvHt8cDxlfFu8UrxJfD88MzwnPBy8FDwNvAf8A3v/O/s79/v1u/U79Pvzu/C77Hvne+J73vveu+G75Xvoe+i75bvc+8x7tjuhO5R7kPuQ+447iLuE+4W7h/uGO377dbtve217bPtre2a7YLtce1x7YHtlO2f7aXtsO3D7dXt4e3o7evt5u3V7bzto+2K7XHtXu1X7V3tbO1+7Zftuu3g7gbuLe5Y7oTuqu7L7vHvHu9Q74rvz/Ac8GbwqfDx8Ufxo/Hv8iHyRPJX8lHyM/IZ8iLyTPJ+8qfy1PMS81fzjfOq87zz1PP49CH0RPRe9HX0lvTF9PP1E/Up9Un1gvXO9hv2W/aP9r729/dG96z4H/iZ+ST5yvp7+xH7e/vT/DT8kvzD/L38qPyz/OT9G/0+/VL9Z/2J/b3+Cv51/vH/av/QACEAYQCbANUBFAFYAZ8B6AIyAnIClAKTAoECegKFApgCqQK8AtoDAgMvA10DkQPKBAUEQwSIBNEFEgVCBW0FpQXqBiYGSwZiBocGxwcVB1oHkAe+B+cIDAgwCF0ImwjlCSoJYgmRCcUKAwpECnsKowrGCvULNgt/C7kL3Av1DBgMSgx+DKkMzQz1DSINVw2WDekOTA6wDw4PcA/iEFcQrxDVENYQ0xDYENkQzhDCEMMQyxDNEMwQ3hEPEVERiRGyEd4SGhJiEqsS9BNHE6IT9RQzFGMUjxS7FNwU7xT/FRkVPBVaFWgVaxVtFXcVhRWMFYcVdhVlFVwVXxVtFYIVmRWuFb8VyBW/FZQVRhTtFKoUhBRhFC8UAxQJFEoUnBTOFNcUzxTKFMUUwRTIFOMVARURFSQVWhW2FgAV+RWcFSkU8RURFWcVuBXkFfUWBBYbFiYWCxXHFXAVJxT2FNUUvhTEFQkVoRZ3F1cYChhrGGMX/RdqFvYW2BcFF0UXaBdWFvUWJBTzE9MTYxPwFTUWkxeUGCIYZBiGGJ4YshjEGMwYvxiiGH0YWxg/GCgYFhgEF+4X0he0F5YXdhdVFzIXBRa6FkcVuBUzFN4UwxTOFNMUshRqFBoT4RO/E6MTihOCE5kTwxPwFBoURhRtFHsUaxRQFEoUXxSAFJwUqxSxFLEUqhScFIUUWBPvEwYRXg8HDIgKrAnzCjYK2QtVC4cLmAujC58LewtBCwMKywqUCloKHAnaCZQJTwkOCM4Ihwg6B/IHtgeABz4G7QaaBlgGLQYQBfAFxwWaBXIFVQVEBTsFNgUsBRQE7gTIBK4EogSaBI8EggR1BGQESwQ2BDkEWgR6BHIEMQPRA3YDNwMKAuICtgKLAmUCRwIvAhoCBgHyAd4BzAG7AaQBhAFaASoA+wDQAKoAhQBjAEwAQwBDADkAGf/q/8L/sf+t/53/eP9H/x7/BP7v/tb+tf6V/nv+ZP5J/ib+A/3q/dr9y/22/Z79iv14/WX9Tv08/TT9Kf0P/Oz80vzK/Mr8xPy4/K38o/yN/Gr8Sfw8/Ef8Wvxh/FP8MvwN+/X78fv6/AD7+fvs++f78PwB/BD8FvwP+/r74fvN+8H7tvul+5L7h/uG+4n7ifuF+4D7ePtx+237b/t0+3b7dft1+3f7evt6+3j7eft7+3r7dvt2+3z7hvuN+5D7k/ua+6b7s/vB+9H75Pv0/AL8D/we/C/8P/xO/F38cfyM/Kn8xPzY/Or8//0V/Sv9Pf1N/WH9dv2K/Zr9qP21/cL90P3f/e/+AP4Q/h3+K/48/k7+Xf5o/nL+ff6H/o7+k/6b/qb+rv60/rn+wf7K/tP+2f7d/t/+3/7d/t/+5P7p/uv+7P7u/vH+8P7u/uz+7P7s/uj+5P7h/uD+3/7e/t7+3P7Y/tP+0P7Q/s/+zP7M/s7+0P7N/sr+y/7M/sn+wf68/rz+vf67/rX+sv6z/rT+tv65/r3+vf65/rb+uP66/rv+vP7B/sn+zf7O/s/+0v7U/tj+4P7q/vD+8/74/wT/FP8h/yn/Mv8+/0n/Uf9a/2T/bf9x/3P/d/9+/4P/hf+K/5L/n/+t/7z/x//N/9L/3v/vAAEADwAaACUAMQA+AE0AXgBrAG4AcQB+AJQAqgC6AMsA4AD0AQQBFQEvAVABbwGMAa4B1gICAi4CYQKeAtgC+wL7AucC2ALoAxYDRgNbA1sDYQOCA68D0QPoBAkEOARhBH4EoQTYBRMFOgVUBX8FvQX3BiYGXwanBt8G9wcIBzkHeAeeB68H1QgEB9cHBwXuBWQGAwerCasLSQwyDIoMzQ10Do8PthBzELAQuxDPEN8QyhCeEIoQmBChEIwQZBA4D/EPbQ6jDaIMgwtjCmIJmQkJCKoIhAicCMkIxAh2CBoIAwg9CIAIiwhfCCwIBQfTB30HCQaaBk4GLAYkBhsF/AXFBXoFHQSqBCcDogMoArUCOAGwASkArAAz/8D/Wv8L/sz+kf5Y/ib9/v3a/bf9m/2I/Xf9Xf1C/Tb9Pf1P/Vv9Wv1Q/UD9Mv0x/UL9ZP2T/cn+BP43/lL+UP48/i3+NP5P/m/+if6b/qb+ov6O/m7+Tf4t/gj94f3I/cf9zv3F/av9nf2m/aT9Zfzo/GD7//vL+637nfun+9D7//wX/BH79vvX+8j73fwT/E78cvyI/K/88/04/WD9av1x/Xv9ff1t/V39ZP2C/aX9vP3A/bb9p/2e/Z/9o/2e/ZH9jP2U/Zv9kv19/W79bv10/Xb9d/1+/Yn9kP2Q/ZH9mP2i/av9tv3G/dv98v4I/iD+OP5O/mL+df6N/qf+xP7i/wP/Jv9I/2j/i/+x/9f/+AAWADYAXACEAKsA0AD1ARkBOgFbAX4BogHGAeoCEQI5AmEChQKqAtAC9AMRAy4DUQN8A6MDwwPjBBIETAR9BJsErQS/BM8E1QTRBNAE2ATeBNwE2ATcBOgE8wT2BPcE/QUFBQoFDQUTBRoFHwUhBSYFMQU9BUcFUgVhBXMFhQWWBagFuQXHBdUF6AYBBhgGKQY4BkcGUwZbBmQGdAaJBqsGvAbMBt8G9AcKBx8HNAdJB2AHewebB8AH5QgLCDAITQhhCHEIhwijCLsIyQjbCPwJJQlACUUJRglQCVYJPQkCCMcIrQi1CMQIyQjCCLsIuAi4CL8I1Qj3CRkJNAlPCXsJvAoACjEKRQpECj4KQQpSCnEKnwrcCx8LVgt2C4MLhwuMC5ELlAuVC5ULjwuAC2wLWAtDCx8K5gqjCl4KFAm7CVQI7AiOCDQH2geEB0AHFgcGBwoHFgcbBwwG6wbFBqEGewZPBiMGAAXmBdIFxgXFBccFuQWWBWsFQwUdBPEEvQSNBGQEQQQeA/0D3AO5A5QDeANmA1UDOwMaAv4C4AKtAlsB9QGVAUgBDwDnAMkArgCNAGIALP/t/6n/Y/8j/vH+1P7J/sj+w/65/rL+sf6q/o/+aP5S/l7+e/6G/m7+Q/4h/hP+F/4h/in+Kv4n/in+Of5a/ov+xv7//yr/Qv9Q/1n/VP9F/07/lQAMAHEAlgCgAM0BEwEaAKwADP+x/7T/sP9C/nv9xv1p/Uj9Jfzx/M38z/zj/O387vz3/Qj9Ef0L/QD9AP0P/Sb9Qf1e/Xj9mf3i/nj/VgArAIkANv9Y/lr9lP0g/Or82fzi/P/9IP02/Tv9Qf1Y/Xz9mP2a/Yj9eP12/Xn9cf1c/UX9Nf0o/Rj9CPz+/Pn88vzm/Nr80/zQ/Mr8v/ys/JT8fPxp/Fr8S/w0/Bf7+PvY+7b7kvty+1f7OfsQ+t76qPpz+j36BPnJ+ZD5W/kl+O34tPh/+FL4LfgI99j3nPda9xz24/as9nf2RPYT9d/1p/Vu9Tj1APTH9JL0ZvRB9Bnz6fO084DzTfMd8vby2fLA8p/ydfJG8hnx7fHD8ZzxefFT8Snw+vDO8KnwjPB08GDwTvBA8DfwM/Ay8CzwH/AN7/nv4e/K77rvuu/G79Pv3O/h797vxO+D7yTuyu6T7oLue+5n7kvuOu487kPuN+4X7fDt1e3K7cntw+207aDtke2R7aDtsu2+7cXt0e3i7fPt/+4F7gPt9+3h7cftsO2Z7YHtbe1n7XDtgO2R7ajtyO3s7g/uM+5e7o/uvO7i7wXvLe9c75bv3PAp8HHwt/EL8XXx5PI68mzyg/KH8nHyQ/Ia8hbyOfJo8pPyxPMJ81jzlvO288Pz0/Pu9A30IfQr9DT0T/R99LL03fT79R31T/WN9dD2EPZP9pD22vc597X4Rvjd+XP6CPqV+w37c/vc/Ez8pfzB/Kb8i/yg/N79G/05/T/9Rv1c/Yb9yv4r/p7/Ev93/8sAEQBNAIMAuQD1ATwBjgHoAjUCXwJgAkoCOgI8AkkCWAJqAoQCqALQAvoDJwNVA4gDxQQSBGkEtgTwBSEFXAWfBdsGAgYgBkkGhAbBBvAHDQckBzsHVQd3B60H/QhbCLAI7QkcCVEJmQnqCjEKYgqFCqwK4wskC10LiQuxC+MMHgxWDIAMoAzDDO0NHw1cDawODA5wDs4PKg+RD/oQURCBEJMQmxChEKAQlRCLEIsQjhCMEIsQoBDREQ8RQRFlEYwRwBIAEkAShRLZEzsTmRPiFBcURhR2FKEUvhTNFNsU8RUOFSwVQRVMFU8VUhVUFVQVTBU8FS0VKhU2FU0VZhV7FYoVjxWCFVsVHhTcFKUUdBQ7E/gTyhPRFAYUQhRoFIEUoBS+FMUUsxSpFL4U2BTTFLUUuhUJFX4VvhWZFTQU5xTmFSAVXRV7FYQVlRW2FdUV1xWvFWsVIxTsFMcUrRScFKUU3xVXFggW3ResGDkYThfuF1sW7BbIFt4XChcyFy8WxhXXFKUTxROyFHMVoBa+F4wYAxg8GFQYYhhzGH4YdxhbGDYYFRf+F+0X3RfKF7cXqRefF40XZhcoFtwWiBYoFboVTRT5FMwUwBS5FJsUYBQYE98TwROxE5wThxOEE6ATzRP5FCEUSRRrFHYUZhRSFFEUahSOFKsUuRS1FKcUmhSMFGoUCRM2EcsPyA12C2YKLwoECokLJwuAC5wLqgu2C6gLdws4CwAKzwqZClwKIAnlCaQJXQkXCNIIiwhBB/4HxweSB04G+QaiBl4GLgYJBeEFtAWIBWQFSAUzBSMFGQURBQIE5gTDBKQEkgSJBIQEfgR3BGkEUAQ2BDEERgRdBFUEHgPKA3kDPgMZAvwC2QKmAmcCKQH+AesB5QHbAcsBugGuAaABhwFfAS0A+wDOAKUAfQBWADUAJAAfABoABf/h/7r/n/+M/3f/V/8w/wv+7f7V/r7+ov6A/l7+Qv4r/hL99P3Z/cn9wf2z/Z39hf1z/WL9TP02/Sn9IP0O/O/80fy//Lj8s/yq/KP8mfyD/GD8Qvw9/FL8bPx1/GP8P/wa/Ab8CfwV/Bf8Bfvs+9374vv0/Aj8FPwX/A77/vvw++b72vvE+6n7lvuQ+5D7jfuI+4T7gvuA+3z7fPuA+4b7iPuI+4r7jfuO+437i/uK+4n7hvuE+4f7jfuS+5L7k/uY+6H7q/u2+8T71/vp+/n8BvwU/CT8NfxE/FP8Zfx7/Jb8sPzI/Nz88P0G/Rr9Lf0//VP9Zv15/Yr9mf2q/br9yv3Z/er9+/4L/hf+Jf43/kr+Wv5l/m3+d/6B/on+kP6Y/qL+qv6u/rT+vv7I/s/+0/7W/tb+1P7S/tT+2f7d/t/+4P7j/uf+5v7i/uD+4f7h/t/+3f7e/tz+1/7R/tD+0f7R/s/+zf7O/s3+y/7J/sr+y/7K/sn+zP7O/sv+xP7A/sD+wv7A/r3+vP69/r3+vP69/r/+v/6+/r/+w/7G/sf+y/7R/tf+2f7Z/tz+4P7j/uf+8P7+/wf/C/8P/xn/KP80/z3/R/9S/1z/Y/9r/3b/gP+H/4r/j/+T/5f/mf+e/6f/sv+//87/2v/i/+n/9AADABMAHwApADUARABVAGcAdgB+AIIAiQCaAK8AwADSAOoBBQEYASIBMQFPAXIBiwGeAb8B8gIpAlYCgAK0AusDCgL6As0CrwLFAwcDSQNjA1wDXQN8A6UDvwPSA/cELQRXBG4EjATIBQoFMQVFBWkFpgXnBhwGVgabBs4G4AbvBx4HYQeNB6YH0ggDB9MG/wXjBVUF8AeVCZgLRQxFDK8M8Q2CDoEPmRBcELMQ1xD5EQoQ8xDJELQQrRCTEGMQPRAmD+4PXw58DW8MWAtGClAJjwkLCLkIkQiRCKAIjQhICAMH/gg6CHYIfAhVCC0ICwfTB3IG9waFBjYGEgYPBhUGCQXXBYIFFASbBCEDrAM9AscCPwGuASMApgAx/8T/af8j/uj+q/5t/jz+Gv38/dr9uv2i/Y/9d/1d/U/9U/1h/Wn9Zv1c/VD9SP1I/VL9Zv2L/cX+Ef5e/pD+mv6H/nL+cf6E/pv+q/6w/rL+sf6l/oj+Xv4z/hH9//38/f398P3M/aX9nf20/bj9dfzv/Gb8EPvt+9f7vvuu+7D7tfux+6z7uPvU++/8APwN/B38K/w4/Ez8bvya/MT86f0M/Sr9Ov0//UX9Vf1o/XX9fv2K/Zb9nf2f/aP9p/2j/ZT9hP18/Xr9dv1w/W/9df15/Xj9eP1+/Yn9j/2O/ZD9mf2m/bL9wP3S/ej9/f4P/iP+Pf5X/m7+g/6b/rb+1P70/xb/OP9a/3v/nv/E/+kACwAqAEoAbQCSALcA2wD9AR4BPwFhAYMBpwHMAfMCHQJGAmwCjgKyAtkC/QMcAzsDYAOKA7AD0AP1BCgEYASLBKEErAS8BMwE0QTMBMgEzgTWBNYE0gTWBOME7gTxBPEE9QT6BPsE/QUEBQ8FGQUfBScFMgU+BUgFVAVmBXsFjQWcBawFvwXRBeEF8gYGBhwGLgY/BlEGYgZwBnwGiQaaBrsGywbbBu0HAgcaBzIHSgdjB38HnwfDB+UIBwgoCEcIXQhmCG0IgQiqCNoJAwkiCUEJXgltCWwJaglzCXoJYwkoCOcIwQi+CMkIywjECL8IvwjECM0I4Aj9CRsJNAlRCYAJxAoLCkAKWQpkCnEKhgqfCrkK3QsVC1YLigufC5oLlQueC7ILxQvOC8oLtAuLC1ULIwr8CtwKugqRCl8KHgnICWII+wibCEEH6QedB2cHSgdAB0IHSwdOBz8HHAbxBscGoAZ2Bk4GLgYWBgIF8gXrBeQF0AWpBXwFUwUqBPoExASVBHEEUwQ2BBgD/wPsA94D2APXA9QDwgOhA3QDOALjAnUB/wGZAVEBKAEXAQ8BBADoALwAhQBKAAv/zP+R/2T/SP84/yr/Gf8H/vn+7P7X/rX+mf6f/sv/AP8V/v3+zf6j/ov+gv6A/oP+hv6E/nz+ef6N/sX/Ff9e/4f/lv+h/63/qf+U/5f/4wBnANcA/gD/ARoBSAE0ALgAHP/L/8z/t/84/nX91v2O/Xb9VP0o/RP9HP0t/TD9L/01/UD9Qf09/UD9Uf1n/Xr9jf2m/cL92/4B/lH+z/9Q/43/W/7P/iv9rP1n/U/9Uf1h/XX9gP17/XT9f/2i/cr92/3O/bX9pv2k/aD9kv2B/XX9bv1m/Vr9T/1F/Tr9K/0f/Rn9F/0S/Qn8+vzn/NH8vPys/J78i/xv/FD8M/wX+/b71Pu1+5z7f/tY+yj69vrD+o76Vfob+eP5rPl2+UH5DPjZ+Kz4hfhf+C337/es92/3OvcI9tP2nvZq9jb1//XH9Y/1VfUb9Oj0vvSY9Gz0OfQB88vzmvNv80/zNvMb8vbyyPKa8m7yQ/IY8fDxzfGp8YDxUvEl8P7w4PDK8Ljwp/Ca8JHwjvCJ8HzwZ/BR8DvwI/AL7/3v//AO8BvwI/At8DLwHe/Y72/vCu7N7rfurO6T7nHuW+5X7lnuTO4t7gnt7+3k7eHt3e3Q7b3tr+2v7bztzO3X7d/t6u377gzuF+4a7hPuA+3s7dPtvu2o7ZHtf+187YjtmO2o7b3t3O4C7ibuSe5v7pvux+7u7xXvP+9v76Xv4/Ak8GTwq/EJ8YPyBPJs8qjyv/K68pbyWfIg8gzyIvJO8oDyvfML82LzpfPI89Tz3PPq8/r0BPQF9Af0FvQ59Gf0lfTA9O/1JPVb9ZL10PYb9nL20vdF99b4gvkz+dH6Ufq4+w/7afvS/EL8mPy1/Kb8mvy4/Pb9Kv0+/Tz9Ov1E/WD9kf3d/kD+q/8S/3H/wgAAADAAXACRANgBNQGaAfECIwIqAhcCAwH8AgACCQIZAjMCVAJ4Ap4CwwLmAwoDQAORA/YEVQSdBNUFDAVIBYEFrQXTBfwGKQZNBmIGaQZvBnoGjgayBu4HQgehB/UIMwhmCKUI+QlaCbUJ+wouClsKjwrICv8LMAtkC6IL5gwjDE4MbAyMDLMM5A0fDWgNwQ4jDoMO4A89D5wP7xAqEEkQVRBYEFUQUBBKEEUQPxA5ED8QXRCREMkQ9REXET4RcRGrEekSLBJ/Et8TPhOME8gT+hQsFFoUfRSQFJgUoxS8FOQVDRUnFSsVJBUeFR4VGRUKFPcU7hT2FQ4VKxVEFVEVThU4FRMU6BTAFJgUYxQcE9gTuBPKE/MUEBQbFDIUZhSeFLAUmBSCFIgUkRRxFDQUJRR/FRsVihWAFRwUwBSwFN0VERUoFS4VORVSFWwVexV1FVYVIxTsFMEUphSUFIYUhRSnFQQVqBaIF24YDRg0F+8XehcRFtAWvhbZFwUW/RZ9FYYUdhPKE80UdBV3FoEXUxfSGAoYHBglGCgYHxgIF+0X2hfPF8MXqheIF2gXVhdNFzYW+xaeFjgV2xWOFUkVDhTmFNEUvhScFGIUHhPkE8ITsROgE4oTfBOJE60T2RQAFCYUUBR0FH4UbhRZFFYUbBSRFLIUwRS1FJsUhhR4FEETlxJDEFAODgv1CoQKAApMCu8LcQumC7MLvwvGC6wLcAsvCvwKzgqTClEKEwnbCZsJUAkFCMAIgQhDCAcHzweVB00G/AasBmkGNAYFBdYFqAV9BVkFPAUiBQsE+gTxBOsE2wTABKAEhwR5BHMEbwRqBGAETQQ1BCIEGwQYBAgD4AOmA2wDPwMiAw8C9QLCAnQCIwHqAdMBzgHEAbEBoAGXAZEBgAFfATMBAgDTAKoAhQBhAD4AHwAJ//r/7f/d/8X/pf9//1f/Nf8a/v/+4/7J/rT+nP57/lH+Lf4U/f794P3C/bD9rv2r/Zz9hv1y/WL9Tv07/S79J/0X/Pn81vy9/LL8qvyi/Jn8jfx2/Ff8QfxG/GH8d/x0/Fb8LvwT/BL8KPxC/ET8KvwD++f74Pvk++j76/vv+/L78vvx++/76PvX+8D7rvum+6L7mPuL+4L7g/uH+4f7h/uK+4/7k/uU+5X7mPua+5n7mPuY+5r7mvuZ+5r7nfug+6D7oPuj+6n7svu7+8f71vvm+/b8BPwS/CD8Lfw7/Er8W/xu/IX8nPyz/Mr83/z0/Qn9Hv0x/UT9V/1o/Xj9iv2d/bD9wf3Q/eH98/4C/g/+HP4t/j/+T/5a/mP+bv54/oD+iP6S/pz+ov6n/q3+t/7A/sX+x/7J/sr+yP7G/sb+yv7N/s7+0P7V/tn+2f7W/tX+1f7U/tP+1v7a/tv+0/7K/sX+xv7H/sX+xP7F/sf+x/7G/sb+x/7I/sr+zP7O/sv+xv7E/sX+xf7C/sD+wf7D/sP+wv7B/sL+w/7F/sj+zf7S/tb+3P7i/uX+5P7k/un+8P71/vj/Af8P/xr/Hv8h/yn/Nf9B/0v/Vf9g/2n/cf96/4b/kv+b/6H/p/+r/63/sP+2/7//yv/W/+P/7//3//4ACAAXACcAMgA7AEcAVwBqAHwAigCRAJcAogCyAMIAzQDfAP0BHQEuATQBQgFjAYYBmwGuAdYCFgJRAnEChQKoAtwC/wLyAsICogK8AwUDSQNgA1QDVQN2A50DsgPAA+QEHARHBF0EeQS1BPsFJwU/BWQFowXkBhkGUAaOBrwGygbZBwoHTweBB54HzQf5B8IG5wXHBTcF1AeGCaULegyaDQwNOg2kDn8PhRBOELkQ8xEgETERGRDxENcQvxCPEFgQQxBCEAUPTA42DQ8MBAsRCjgJjwkkCOUIuwigCIkIYQggB+sH7wgjCFMIVAg1CBYH+Qe/B18G7AaGBjsGEQYIBhMGEQXlBYUFBASBBA0DqgNHAtECQgGrAR8AowAv/8T/b/8z/v/+w/6D/lP+OP4j/gT94P3A/af9jv15/XD9df1+/X79c/1l/Vv9W/1j/W79ev2Q/b3+Bv5b/p/+vv68/rH+sP6+/s3+zf6+/qz+pP6d/of+Xf4v/hX+Fv4h/hv99f29/Zb9nP2+/cT9fvz6/Hj8KfwI+/H71vvG+8r70PvJ+8T72/wI/Cv8Mfwn/Cf8N/xL/Fz8bfyF/KP8xvzo/QP9Fv0m/Tv9U/1l/Wz9cv2C/Zf9o/2j/aH9of2e/ZT9hv1+/Xz9e/14/Xj9e/18/Xn9eP1//Yr9j/2P/ZP9nv2u/b39zf3g/fX+Bv4V/iX+Pf5a/nb+kf6t/sv+6v8L/y7/UP9y/5L/tP/X//sAHgA/AGAAggCkAMYA6AEIAScBSAFpAYwBsQHWAf8CKgJTAnYCmAK8AuMDCgMtA1ADdgOeA8ID4wQHBDUEYwSDBJEEmwStBMIEywTGBMAExATOBNIE0gTWBOAE6gTtBOwE7gTxBPIE9AT9BQ0FGwUlBS4FOQVEBU4FWgVsBYIFkgWdBawFwgXaBeoF9gYEBhcGLQZEBlsGcgaGBpQGngarBsYG1wbqBv4HFgcxB0sHZQeAB6AHwwflCAQIIAg8CFgIbAh0CH0ImAjNCREJSwlvCYMJjwmVCZUJlAmXCZUJfAlFCQYI2gjLCMsIxwi9CLkIvwjKCNYI5gj9CRgJMwlSCYMJygoYClUKdgqHCp0KvQrfCvkLEws7C3ALnQuuC6kLpgu3C9UL7wv5C/ELzwuSC0AK7wq2CpYKgwpuCksKEQm/CV4I/gijCE4H/ge/B5oHigeDB4EHhQeGB3YHUAceBu0GwgacBnoGYAZKBjQGIAYTBggF8gXLBZwFcQVKBRwE5wS2BI4EbARJBCkEEwQNBA8EFAQTBAsD+APaA6oDXwL0AnYB/gGiAWoBTwFIAUkBQwEuAQwA4gCxAHcANv/6/87/sv+d/4X/af9Q/zz/Jf8G/uL+0P7k/xj/S/9d/0z/LP8S/v/+7f7g/t7+5v7l/tH+uv7B/vz/Wf+u/9//9QAJABoAFgAAAAgAXADkAU8BbQFjAWsBegFOAM4AQf/4/+f/sP8g/mz97f27/aX9hP1i/Vr9Zv1s/Wb9Yf1p/XP9c/11/Yb9pf2+/cn90v3n/gX+H/40/lH+f/6z/s3+tf5u/hf90v2w/an9r/22/br9tv2u/a39wv3q/gz+Ef37/d79zP3C/bb9p/2f/Z/9oP2g/Z79nP2U/YT9cP1k/WD9XP1S/UP9M/0i/Q38+fzn/Nb8vvyi/If8cvxa/Dn8Fvv4+9/7w/ud+3H7QvsQ+tv6pPpu+jf6APnJ+ZX5ZPky+QP42Piv+H34P/f898D3jfde9y32+/bH9pD2V/Ye9eX1q/V09UL1GfTv9L/0hvRN9Bnz7fPI86rzkPNw80bzF/Lr8sLymPJu8kbyI/H/8dXxpvF68VTxN/Ej8RPxBPD08Ofw3PDQ8Lzwo/CM8HjwYvBM8EDwR/BX8GbwcfB+8Ifwb/Ah76zvP+8B7uzu3+7C7pnuee5u7mzuYe5H7ifuD+4E7gLt/u3z7eLt1O3U7d/t7O3z7fjuAu4U7iTuLO4o7h3uC+327eHtze237aDtke2R7Z7tr+2/7dPt8+4b7kHuZe6J7q/u1e787ybvVe+E77Hv3/AQ8EnwjvDr8WLx5fJZ8qvy1/Lc8rjyc/Is8gTyCvI18nXyxfMe83PzsPPP89nz2vPd8+Hz5fPm8+bz7vQD9CX0UPSC9Lv09vUr9V/1ofX79mj23fde9/v4tvlz+hD6fvrK+w37XPu9/CX8evyn/LX8wvzl/RT9OP1C/T79PP1C/VT9df2s/fj+U/62/xj/b/+x/94AAwAzAHsA3AFHAaQB3wHyAekB1wHJAcEBwgHPAeQCAAIfAkECZAKBAp4CygMYA4MD8QRJBIYEtgTlBRQFQAVpBY8FrwXDBckFyAXHBdEF6gYXBlkGqQb5Bz0HdQevB/gIVwjCCSwJhgnPCgsKQQp0CqUK2AsRC1ULnAvaDAUMJAxEDG8MowzcDR4Nbg3MDjAOjw7nDzsPiw/MD/YQBRAFEAMQBBAED/wP7A/hD+0QExBGEHUQmxDAEOwRIxFeEZ4R5BIzEooS4RMwE3UTsBPmFBQUORRPFFYUWxRuFJcUyhTwFPwU8xTnFOAU2hTMFLkUrRSyFMgU5RUAFQ0VBhTrFMYUqBSVFHsURxP9E78TshPTE/sUAxPyE/QUGxRNFFwURRQuFC8ULxQHE8oTyBQ3FOYVWhVEFM0UZhRYFJEU0BTwFPoVAhUMFRQVHhUrFS0VEhTgFK8UkhSGFHwUcBRvFI4U4hV7Fk4XLRfUGBYX8xeRFx4WxRajFrcW1xa7Fi8VPxQ5E4cTdhQQFRoWMhcIF4QXvBfQF9IXxReuF5YXhhd3F2AXNhb9FsUWnRaDFmAWIRXLFXsVRxUrFRcVABTmFMsUpxR1FDgUAhPeE8gTshOVE3oTdROOE7cT3RP+FCcUWRSCFIwUeBRfFFgUaBSJFKwUvhSyFJMUehRfE/8S+BEjDsUMcwrBCf4KFwquC00LqgvGC8wL1gvSC60LbAstCvsKxgqDCjsJ/QnGCYgJPQjxCK8Idgg/CAcHyweLB0QG/Qa5BnoGPwYIBdYFqAV9BVQFMwUYBP4E5wTYBNQE0ATABKQEhwRzBGYEWgRNBEQEPQQwBBsD/wPjA8YDpQOAA1gDNQMcAwwC9ALDAnUCIgHmAcsBvwGuAZQBfgFzAW8BZQFOASoA/QDOAKYAjAB6AGMAPgAP/+n/2P/a/9n/wP+J/0v/Hv8J/vr+4f6//qP+jP5u/kT+Gv39/ef9y/2r/Zj9mP2c/ZX9gv1u/V79Tf09/TP9LP0b/Pn80vy3/Kv8pfyg/Jv8kfx8/F38R/xH/Fn8Y/xU/C/8Cvv5/AX8KPxJ/E78MvwI++r73vvX+8r7vvu9+8b7z/vR+877yfvD+7r7tPuz+7D7pPuR+4P7gPuG+4v7jPuN+4/7kvuT+5T7lfuX+5n7mvuf+6X7qPup+6n7q/uu+7D7sfuz+7n7wvvM+9f74fvs+/r8CfwZ/Cb8Mfw9/Ev8W/xt/H/8kvyn/Lz80vzo/P/9FP0p/Tv9TP1c/Wz9fv2R/aX9uP3I/dj96P34/gX+Ev4h/jH+QP5M/lb+Yv5s/nX+ff6G/pD+lv6b/qL+rP60/rj+uv68/r3+vP65/rn+u/69/r7+wP7E/sj+yv7K/sv+y/7J/sf+yv7Q/tL+zf7E/sD+wP6//rv+uf67/r/+wf7C/sP+xf7I/sv+zf7M/sn+x/7I/sn+x/7D/sH+xP7I/sr+yf7K/sv+y/7M/s/+1f7c/uP+6/7x/vP+8P7w/vj/AP8F/wj/D/8b/yX/Kv8u/zj/RP9P/1n/Y/9u/3j/gv+O/5r/pP+r/7P/vP/C/8X/x//M/9T/3v/o//YABAANABMAGwApADkARQBPAFsAaQB7AIsAmAChAKkAuADKANcA4QDxAQ0BKQE3ATwBTQFwAZMBqgHFAfkCPgJvAncCcQKGArsC5gLkAsACqwLKAxADSQNWA0gDSwNtA5UDqAO0A9QECAQzBEwEbASoBOwFHQU+BW0FsAXwBiIGUwaJBrAGvAbMBwEHSwd/B50HxQfkB54GugWYBQwFtAeACcsLzA0DDWkNcA2uDmMPUxAYEJIQ5hEqEUgRMREFEOYQxxCUEGgQaxB5ECYPMQ3WDIwLiwq9CgoJggk2CRII8gjHCJYIXQgcB+sH5ggECBwIFAf4B+IHzAecB0sG7wabBlgGJwYSBhcGFwXrBYME8wRkA/MDnQNJAtoCSwGyASUAqAAy/8j/eP9F/xv+5P6k/nP+Wv5I/i7+Cf3l/cf9rf2a/ZL9lP2Z/ZT9h/11/Wr9a/15/Yr9l/2k/cT+AP5S/p/+0v7l/uT+4v7p/u/+4/7A/pX+e/51/m3+U/4x/hz+Gf4U/fb9v/2O/YL9pP3Q/dD9hP0D/Ib8N/wO+/D72fvb+/f8Fvwe/Br8I/w8/E/8TPxC/Ej8YPx8/I78mvyn/Lj8zfzh/PX9Bv0a/TT9T/1l/XH9ff2P/aH9p/2i/Zr9l/2V/Y79h/2E/YX9hP2B/X/9f/1+/Xv9fP2D/Y39k/2X/Z79rf2+/c793/30/gj+Gv4n/jb+S/5l/oP+o/7E/uT/A/8l/0j/a/+L/6r/zP/vABEAMwBVAHcAlwC4ANgA+AEZATgBVwF5AZsBvwHlAg4CNwJfAoMCpgLMAvUDHgNFA2oDjwO0A9cD9wQWBDcEVQRpBHUEgwSaBLMEwQTBBL0EwQTNBNcE2gTdBOUE7ATvBO4E7wTzBPYE+wUFBRMFIQUqBTIFPQVJBVQFYQV1BYoFmQWlBbQFzQXoBfkGAQYLBh0GNgZQBmoGggaXBqUGrQa3BtEG5wb/BxgHNAdSB20HhQegB8AH4ggDCB4IOAhSCG4IhgiYCKsIzAkECUoJhgmoCbEJtQm9CcUJwAmsCY0JZQk0CQAI1wjDCL4IugizCLEIuAjGCNQI4gj3CREJLQlMCXkJwQoaCmYKkwqlCrgK2gsBCyALNgtSC30LqAvCC80L2QvyDBEMJgwpDBcL7QuiCz8K2wqRCmoKWgpMCi0J9gmoCVII/giwCGUIHwfrB84HwQe3B68HrgeuB6AHewdGBxEG5gbFBqsGlwaDBmoGUAY9BjAGHAX4BckFngV5BVEFIgTuBL0EjwRjBEEEMgQ3BEUESwQ/BCYECwPxA8gDewMHAoECDAG9AZIBfwF5AXcBcwFoAVUBPgEaAOIAnABaACwAEf/5/9v/uf+a/37/Yf8//yD/Fv8r/1H/bv9y/2b/Xf9e/1r/SP8z/y//O/89/yH++f7x/yP/gv/jACsAXACDAJkAkQB9AJAA6gFpAcEBzwG3AaYBlAFTAN4AbgAvAAD/of8E/mz+Fv37/ef9xf2p/af9rf2m/ZX9kf2d/an9rf22/dH99v4N/hL+Ff4k/kD+XP5s/nP+d/58/n7+dP5Z/jT+F/4L/gn+BP34/ev94v3h/en9/v4d/jP+M/4d/gL97v3f/dP9y/3L/dD90/3W/dz94P3Y/cL9rP2i/Z/9mf2K/Xr9bf1d/Uf9Lv0Z/QX87fzT/MH8svyc/Hr8V/w7/CX8Cvvl+7v7j/te+yj68vq/+oz6VPod+er5u/mM+Vv5LvkB+M74j/hM+BD33vey94X3Vvci9un2q/Zw9jr2BfXS9aH1dPVF9Q/00vSZ9Gn0QfQh9AXz5/PC85XzZvM78xPy6/LC8pzyePJR8ibx+vHR8a/xkvF98W3xXvFJ8TLxG/EF8O3w1/DD8LLwn/CL8ILwivCa8KjwtvDI8NDwsfBX79vvcO847ynvG+737sTune6L7ojugO5r7k/uOO4s7iruJ+4d7g3uAO3/7gjuEu4V7hbuHu4t7jvuPu427ibuFe4E7fHt3O3G7bLtp+2q7bntyu3a7e/uDO4x7ljugO6n7s7u8e8T7zvvae+W77vv3PAG8D7wgvDR8S/xmfIH8mfyrPLI8rTyd/Iu8fvx9fIe8m3y0fMz84DzrfPC88rzy/PJ88fzxvPG88bzyfPZ8/X0HfRM9IL0u/Ty9S71gfXz9nb2+Pd8+Bb4zfmG+hr6fPq9+v37Svuh+/v8SvyH/LL81fz2/Rb9Kv0y/Tb9Pv1O/Wb9hf2u/eL+Iv5t/sH/FP9b/5D/u//qAC4AiADuAU0BkQGyAbcBqwGaAYsBhgGNAZ0BrwHGAeUCCgIrAkcCbAKxAxkDjgPyBDYEXwR/BJ4EwQTkBQYFIgU2BUAFRQVNBWEFiAXFBhAGWgaYBskG9wcwB34H3QhHCLIJGAlyCb0J+QopClUKhQq+CwILSQuEC68L0Av2DCoMZQydDNcNHA12DdoONw6GDtAPHA9nD58Ptg+2D7MPtg+6D7APnA+PD5sPvQ/nEAsQLxBbEJIQ0RESEVcRoRHuEjsShhLTEyATaROoE9wUAhQZFCAUIRQsFE0UfhSrFMEUvhSwFKQUmhSNFH0UcxR2FIcUnhSzFL4UtxSdFHwUZBRbFE4UJRPgE6MTlRO1E9sT3xPDE64TuRPUE90TzxPDE8cTxhOkE3kTjRQJFLMVFBToFGET+RP4FEQUlRTDFNUU3RTeFNcU1xTlFPEU4hS3FIkUchRrFGYUYRRiFHIUkxTVFVQWFRbsF5QX3BfDF2wXAxawFooWkhajFnoV4RTeE8YTEhMVE8YUzhXKFoQW9xczF0YXOhcZFvAWxBaUFmAWKBXtFbUViRVpFU0VLRULFPoVARUSFRUVABTZFKsUehRJFBsT+hPmE9MTthOSE3kTfBOYE7oT1xP2FCYUYRSKFI4UdRRdFFcUZRR/FJ0UrxSoFI4UbhQ0E40SHQ/dDUwLKgn/CdkKXAsLC48LzgvgC+YL6QvXC6cLaAstCvgKugpwCicJ7Qm6CYAJOQjvCKsIcAg2B/sHvQd7BzsG/gbEBogGSQYQBeEFtQWGBVcFMwUZBQEE5QTMBMMExAS/BKsEkQR4BGIESgQxBCIEHwQeBBAD9APOA6oDiANoA0YDJQMIAvEC1AKkAmACGQHmAcoBtwGdAXwBXwFMAUIBOAEqAREA6gC8AJcAigCPAIoAZgAl/+T/x//V/+3/5P+n/1L/Ev71/uf+zP6i/n3+Zv5O/iv+A/3k/c/9uf2g/Y79iv2K/YD9bf1Z/Uj9N/0o/R/9GP0J/On8xvyv/Kb8pPyi/KP8oPyQ/HL8UvxA/Dz8N/wj/Ab76/vg++r8BPwd/CD8Bvvk+9H7zvvK+7n7pfuf+6b7q/uh+5L7ifuL+5D7lfud+6P7ovuW+4n7g/uI+477kPuN+4z7jPuM+4z7jPuN+5H7l/uf+6f7q/ut+677sfu2+7r7vfvB+8n71Pvg++r78Pv3/AH8Efwk/DP8P/xJ/Fb8Zvx2/IT8k/yl/Lj8zfzj/Pr9EP0j/TX9Rv1X/Wf9d/2J/Zz9sP3B/dH94f3v/f3+Cv4Y/ib+M/4//kv+V/5h/mn+cf55/oL+iP6O/pb+oP6q/q/+sf6x/rH+sP6t/qz+rv6x/rP+tf62/rf+uf69/sH+wv6//rz+vf7B/sH+vv66/rr+uv64/rT+sv61/rj+uv66/rz+wP7F/sr+zP7K/sX+xP7H/sn+x/7D/sL+x/7O/tH+0/7T/tP+0P7P/tL+2/7k/u3+9f78/v7+/f7+/wT/DP8R/xX/HP8l/y3/NP88/0n/Vv9h/2v/dv+B/4v/l/+l/7L/uP+7/8H/zP/X/9v/3f/g/+T/6f/zAAMAFAAfACYALAA4AEcAVABgAG0AewCKAJgApQCvALoAygDfAPEA/gEMASEBNgFDAU8BZgGIAacBvwHhAhoCVwJzAmgCWwJzAqsC1gLWAr0CtgLaAxYDQgNJAz4DQwNkA4oDoAOwA88D+wQjBEIEawSpBOsFHAVEBXoFvwX9BisGWAaJBqoGtwbMBwcHUweIB6QHwgfPB3cGigVsBOkFogeKCfkMFA1JDZUNfA2fDjkPCQ+2EDAQpBETEU4RQBESEPMQ1xCqEIcQlRCjEDQPBg1rC/wLAQpYCc8JaQk5CS4JHAjxCLgIewg9CAgH7QfrB+cH0Qe2B6gHngd+B0IG+AayBnQGQAYhBhoGEQXiBXgE5QRTA+EDkgNIAuMCWwHDATUAtQA9/9L/h/9d/z3/D/7T/qD+gP5q/k3+KP4F/ef9zf25/a39qv2r/an9of2T/YT9fv2I/Z39sP3A/dv+EP5e/rD+7/8M/wz/AP76/vn+6v69/oD+Uf5A/j/+Of4o/hf+Bf3k/a79ef1m/YX9vv3k/c79c/zx/Hr8K/wA++b72fvp/BX8Q/xY/FX8T/xT/Fr8XPxe/Gz8gvyV/KD8qfy0/MH8zfzb/O39Af0V/Sr9Q/1c/XH9hP2W/aH9o/2c/ZX9k/2Q/Yv9hv2F/Yb9hP2B/YD9g/2F/YP9hP2J/ZH9mv2i/a79vf3O/d/98v4H/h3+Mf5D/lX+Z/59/pn+uv7d/v3/HP89/2H/gv+h/8D/4wAIACsASwBrAIsAqwDLAOwBDgExAVEBcQGSAbQB1wH6AiACRwJtApICtwLfAwoDNQNcA34DoAPCA+UEBAQdBDIERgRaBG4EggSZBLAEvwTDBMMEyATVBOAE5gTpBO0E8wT1BPQE9QT5BQEFCAUQBRkFIgUoBS4FOAVHBVYFaAV9BZQFpwW1BccF4gX+BhEGGgYkBjcGUAZpBn4GkwalBrEGuAbBBuYG/wcZBzYHVAdyB40HpgfCB+IIAwghCDwIVQhvCIsIqQjICOkJDglACXwJsQnNCdMJ1wnmCfAJ2wmiCWAJLwkQCPIIzwiyCKcIqgiuCLEItwjCCM8I3QjwCQoJJwlDCWwJswoUCnMKrgrGCtUK8gsZCzkLTQtmC44LvwvpDAgMJAxGDGMMbgxiDEMMEAvBC1kK7QqXCmMKSQo0ChMJ3gmZCU8JCwjMCI4IUwgkCAcH9QfkB9UHzgfLB74HmwdpBzYHDgbxBt8G0QbABqUGhQZqBlgGRAYiBfQFyAWlBYUFYAUzBQEEzwSlBIoEhQSSBKEEngSBBFcEMQQYA/YDrQM1AqoCNgHuAcoBtwGtAagBpwGlAaEBlgF8AUgA/wC3AIMAYwBKACsAB//j/8L/ov+E/3D/cP+B/5T/mf+L/33/gf+T/5z/jv94/3P/gP+D/2T/Mv8Y/zf/iv/zAFkAsQDxAQgA+QDnAQUBYAHQAhYCHAH5Ac0BkgE9AN4AlgBkABr/lv72/oD+U/5L/jf+Ef32/fH97v3b/cj9x/3X/eT97P38/h7+Qv5X/lr+W/5m/nr+kP6e/qH+mP6L/oL+ff52/mz+Zv5n/mX+Vv46/iL+GP4Z/iD+LP49/kr+Sf45/iT+Ev4I/gT+Bv4L/g3+Df4Q/hr+IP4V/fz96P3i/eD91v3D/bP9p/2W/Xz9YP1K/Tb9H/0I/Pn87fzX/LX8lPx9/Gr8UPws/AX73Pus+3X7QPsP+t36p/pv+j36Efnk+bX5hflV+R743vic+GP4M/gI9933r/d69z72/vbD9pH2YvYy9gD1z/WZ9V71IPTo9Lv0mPR79F70PfQT8+Xzt/ON82TzOvMR8uzyyfKh8nbyT/Is8gzx7fHU8cLxsfGY8XbxU/E18R3xC/D98O/w3fDL8MPwx/DS8N7w7vED8Qrw4vCA8AXvpe9673DvXe8v7vTuyO617rLuq+6Y7nzuZe5Z7lXuUe5G7jbuKe4o7i/uOO477jnuPO5F7k/uUO5I7jnuKe4X7gPt7e3Y7crtxe3L7dnt6u377hDuKu5J7m7umO7H7vLvE+8t70zvde+g78Xv6PAV8FHwlfDV8RPxWPGo8fzyQ/Jr8mryRvIT8evx4/IJ8l3yyfMv83bzmfOo87HzufO887rztfOt86TzovOx89Hz+fQh9Ev0e/S39Qb1c/X99pH3GveY+CT4yflz+fz6WPqc+uL7Mft/+8j8D/xV/JT8w/zi/PT9AP0L/R79PP1k/Y79tv3X/fL+D/42/m/+uP8H/07/iP+5//EAOQCRAOsBNAFhAXIBbwFhAVEBSwFSAV8BbQF9AZcBuwHeAfsCHAJXArcDLAOWA98EBgQZBCkEPgRZBHgEmQS5BNYE7wUKBS8FZQWrBfgGPQZ0Bp8GywcDB0wHoggACGEIwgkgCXMJtQnmCg4KOQpwCrMK+AsvC1YLeQunC+YMJwxgDJIMzw0iDYAN1g4aDlgOog71DzwPYg9nD2EPYQ9jD1wPSw8/D0YPXQ94D5QPuA/rECwQcxC7EQcRVhGkEe8SNxKBEtATIBNpE6cT1BPsE/IT7RPwFAUULhRbFHoUgxR9FHMUaBRZFEkUPxRDFFEUYRRrFG4UZhRRFDQUHRQYFBgUBBPPE4sTYhNlE34ThxNyE1cTUBNeE24TchNyE3MTaxNMEzATThPEFFwUsBSIFBETthO7FAgUXRSRFKkUsxS0FK0UqxS1FLoUpRR8FFwUVBRWFFAURhROFGkUgxSbFNEVSxYCFr0XQBdyF2IXKRbcFpIWahZuFnUWMxV4FGQTYxLiEwQTnhRkFR8VsxYUFj4WNxYMFcwVfRUpFOIUtRSgFJQUihSDFIcUmRS3FN4VBBUbFRQU8BS6FIIUURQqFAsT9RPiE80TsROXE4sTlBOoE7wTzxPwFCgUZRSHFIAUYxRRFFUUZxR7FIsUlRSTFIEUVhPkEtgQ9g5xC/IKPgmrCgEKuAtaC7sL5wv6DAIL+QvXC6ALYwsqCu8KqgpdChkJ4wmyCXoJOQjzCKwIZwglB+cHqgdtBzEG+gbEBosGTgYYBewFxAWUBWIFPAUkBQwE6wTJBLcEtgS3BKwEmASBBGcERgQiBAkD/wP/A/cD4QPAA5sDdwNTAzADDgLsAsoCpQJ2Aj8CCwHlAcsBswGUAW8BTQEyAR4BEAEGAPUA1gCtAIsAhACSAJcAdwAu/9//tv/G//D/+v/E/2P/C/7b/sb+rP6E/l/+SP42/hr99f3U/b79rP2a/Yv9gP10/WD9Sf01/SP9Ef0B/Pj89Pzr/Nb8vfyt/Kf8pPyi/KT8pvye/IT8X/w//Cf8FPwB+/D74/vY+9X72vvj++D7y/uy+6v7tvu++7T7oPuV+5T7jft3+1/7WPti+277cfty+3r7h/uM+4r7h/uK+5D7kvuO+4r7ifuJ+4j7hfuF+4v7lPud+6T7qPuq+637svu5+7/7xfvM+9X74fvt+/b7+vv+/AX8FPwn/Dn8R/xS/F78bfx8/Ir8mfyp/Lr8zfzh/Pb9Cf0a/Sr9Pf1R/WP9c/2C/ZX9qf27/cv92f3o/fb+BP4R/h7+Kf40/j/+S/5W/l7+Zf5u/nb+ff6D/oz+l/6i/qn+qf6m/qT+ov6g/p/+of6m/qv+rP6q/qf+qP6s/rL+tP6z/rP+s/6z/q/+q/6r/q7+r/6t/qr+q/6v/rL+sf6w/rH+tv69/sT+x/7F/sH+v/7C/sb+xf7D/sX+y/7S/tb+2f7Z/tf+0/7R/tj+5P7w/vj+//8G/wv/Df8O/xH/Ff8b/yP/LP80/zr/Qf9M/1n/Zf9w/3z/iP+S/5r/pf+2/8X/zP/N/9H/3P/o/+//8//1//b/9v/9AA0AHwAsADQAOwBHAFQAYABtAHwAiwCZAKcAtADAAMsA2ADrAQABEgEhATABQQFTAWkBhQGjAbsB0AHyAiQCUAJdAlMCWAKBArkC1gLNAroCwALmAxUDMgM4AzcDQgNdA30DlwOzA9UD/AQeBEAEcgS3BPsFLAVVBYkFyAYBBi0GWgaIBqkGvAbcBx0HageeB7YHzAfIB14GawVSBN8FrAeqCiYMPA1ZDY4Ncg2bDiwO1g9VD8AQThDrEUgRSBEhEQ8RARDYEKwQrRCvECoO0w0HC3gKgQn8CZ4JVwk3CTQJKQkECNEInQhoCDEIBQfnB8wHrQeTB4oHhgdxBz8G/Qa7BoEGTwYqBhMF+AXBBV8E2QRQA98DjwNJAusCagHVAUQAwABG/93/lf9v/1f/M/8C/tP+r/6P/mn+QP4a/fz94/3P/cH9u/28/cL9xv2//az9nP2d/a/9xP3Y/fT+K/57/tH/E/8u/yX/Cv73/vH+5/7C/oL+Q/4e/hL+Dv4I/f796P27/YT9Yv1x/ab91v3V/Zb9Kfyu/Ef8Bvvp+9/74/v6/CH8SPxb/Fj8UfxT/F78bfx+/I78mfye/KL8rPy7/Mn80/zg/PT9CP0Y/Sb9Of1R/Wz9gf2Q/Zb9lv2U/ZP9kv2Q/Yr9hf2E/YT9gv2C/YX9jP2Q/ZD9j/2S/Zj9ov2u/b39zP3c/e3+A/4a/jD+Rv5d/nX+i/6g/rn+2P76/xj/Nv9X/3r/mv+3/9X/+QAgAEQAYwCBAKEAwQDhAQQBKgFPAXEBkAGwAdIB9AIVAjcCWwJ/AqICxgLuAxkDQwNoA4YDogPCA+YECAQhBDQESQRmBIYEoASyBL8EygTPBNEE1QTfBOoE8ATxBPME9wT5BPgE+AT/BQkFEQUWBRsFIAUmBS0FOAVIBVsFbwWGBZ8FtQXIBdwF9wYUBioGOQZHBlsGcgaGBpYGpga2BsEGygbUBwEHGQczB04HbAeJB6YHwgfjCAUIJQhCCFwIdgiPCKkIygj1CSMJTQl3CacJ1QnwCfcJ+woHCgYJ1Ql7CSoJDAkWCRUI7gi2CJcImwisCLgIvQjECNEI3gjxCQwJKQlHCW0JsQoVCn4KygrxCwYLIgtCC1oLZwt8C6UL2wwNDDUMXgyIDKgMrAyTDGgMLwvkC4ILFgq4CnYKTQouCgoJ2gmhCWYJLgj5CMUIlQhtCE8INggeCAkH/AfyB+AHvQePB2EHOwcfBw4HBAb4BuAGvwadBoEGZgZCBhUF6QXIBbIFngWDBWEFPQUjBRcFGQUeBRgE/QTKBJEEZwRPBDID7gN3AuwCdwIvAgoB8gHkAeAB5wHvAfEB6gHUAacBYgEVANQAqACJAG0ATQAqAAb/6P/U/87/1v/l/+z/4f/G/6//rf+//83/x/+3/7H/u/+7/5z/Z/89/0H/fP/kAGUA4gE2AU0BOAErAVEBqQILAkoCVwI1Ae0BiAEgANkAugCYADn/nP8A/qn+mf6Z/n7+Uv4z/if+Gv4G/fr+BP4X/iP+Lf5D/mj+i/6d/qL+pf6u/rv+yP7S/tP+x/62/qv+qv6s/qv+rP6w/q3+mv55/l3+UP5N/k3+Uf5c/mf+Z/5Z/kj+Pv4//kT+Sv5M/kn+R/5M/ln+X/5U/j/+MP4u/ir+Gv4D/fH94v3M/a/9k/1//W39Vf0+/S79If0M/Oz80Py9/Kz8kfxt/En8Jfv4+8P7jvtd+yv69fq/+pD6Z/o8+gz52fmk+Wj5Jvjq+Ln4kfhp+Dz4CvfT95X3Vvcd9u72wvaS9l72J/Xu9bD1cvU99RX09vTZ9Lr0k/Rl9DX0CfPh87fzivNe8znzF/Ly8sryp/KJ8mryR/In8hHx/vHi8bnxjvFs8VbxSPE+8TDxIPEP8QXxA/EG8Q7xIPE28TjxCfCn8DTv5O/D77nvnu9o7ynu/O7p7uTu2+7G7qvulO6I7oHuee5r7lvuUO5O7lTuW+5f7l3uW+5e7mPuZe5g7lTuRO4v7hfuAO3u7ebt5+3u7fnuB+4Z7jDuSe5l7ofus+7l7xLvL+9A71Tvd++l79Lv/fAu8Grwq/Dl8RTxQfFx8aTx0PHq8fHx6fHc8dLx2PH78kPypfMH80/zdvOM853zrvO687zzs/Of84jzfPOL86/z2fP89B70TfSV9Pn1e/YT9qv3Mfem+CT4t/lQ+c36KPpx+sD7EftZ+5b71/wi/Gv8ofy8/MX8y/zd/QL9Of17/bn95P36/gD+AP4K/iv+av6//xj/YP+T/7v/7QAwAHsAvwDwAQsBEgEMAQQBBAERASYBOgFMAWABewGXAbEBzwIFAl0CywMyA3oDngOtA7YDxAPaA/wEJwRYBIsEugToBRcFSwWEBcEGAQZABn4GvQcBB0sHmQfpCDkIigjbCSgJaQmbCcMJ7QokCmcKqgrcCv4LHwtRC5YL2wwTDEIMeQzDDRkNaA2mDeAOJg57DssO/Q8LDwUO/w7+DvwO8w7qDuoO9Q8FDx0PQQ93D7wQBxBUEKMQ9hFLEaER8xJAEokS0hMdE2QTmxO4E7wTtBOwE70T3BQEFCcUPhRHFEcUPxQtFBcUCRQPFCEULBQpFB4UEhQEE+0T1RPNE9sT4xPEE3sTMBMKExETIhMhEw4TBBMSEy4TQxNFEzoTIxMFEvETCxNpE+oUQxRAE/YTsBOqE98UJBRZFHcUhBSFFIUUjRSbFJoUehRNFDYUPxRPFEwUPBQ/FF4UgxSaFLUU+xV3FgkWhRbUFv4XBhbqFq4WcBZSFlEWORXOFQYUGxNgEwYTDhNaE8sUQhSfFM0UyxSpFHEUJxPZE6MTnhPGE/oUIRQ9FGAUkhTOFP8VGBUVFPcUyRSUFGQUPBQcFAMT6xPTE7sTqBOeE6ETqxO1E70TzBPxFC0UaBSCFHIUUhREFFIUahR4FHcUcxRzFGsULBNrEd8PiwzoCr0JpQmtCl0LIAujC+UMBwwbDB0MBgvXC50LZAspCuYKmgpOCg0J1QmgCWgJKwjqCKMIWAgRB9MHmwdiBycG7wa8BocGUAYdBfQFzwWjBXMFTQUxBRUE7wTIBLAEqgSqBKQElwSFBGwESQQhA/8D6wPgA9QDwAOkA4EDWwM2AxMC8QLMAqQCeQJNAiIB/AHfAcYBrAGMAWkBSAEpARAA/gDzAOUAzACoAIgAfACBAIEAYwAg/9H/of+o/9P/7P/J/2//Dv7Q/rf+qP6R/nL+Vv48/h79+f3V/bj9oP2N/X79cP1d/UX9Lf0b/Q38/vzu/OX84vzc/M38vPyv/Kf8oPya/Jf8mPyT/IL8ZvxH/Cr8EPv8+/H76vve+877xPvB+7v7qfuW+5b7qfu7+7n7pfuR+4P7c/te+1T7Yvt9+4v7fftj+1b7Xvtu+3f7evt/+4f7jPuN+4z7jPuN+4r7hfuF+4z7lfud+6P7p/ur+7H7tvu7+8L7yvvT+9776fvy+/n7/fwA/Af8Evwh/DH8QPxN/Fr8aPx4/In8m/ys/Lz8zfze/O/8/v0L/Rr9Lv1F/Vr9a/16/Yv9nv2w/b/9zP3b/er9+f4I/hT+H/4o/jL+Pf5I/lH+Wf5h/mv+c/56/oL+jP6W/pz+mv6V/pH+kP6Q/o/+kf6X/p/+ov6e/pj+l/6c/qD+ov6j/qb+qv6p/qL+nf6d/qD+of6f/p7+ov6o/qr+qP6n/qj+rf60/rz+wv7C/r7+vf7A/sT+xf7F/sj+zv7T/tj+3P7e/t3+2f7a/uT+8/7//wf/DP8U/xv/H/8g/x//If8o/zP/P/9G/0v/Uf9c/2j/cf97/4n/l/+g/6T/q/+8/8//3P/g/+T/7P/2AAAABwANAA0ADAAPABwAKwA3AD8ASQBWAGMAbQB5AIkAmQCmALMAwwDSANwA5ADxAQMBFgEkATIBRQFeAXkBlAGsAcAB1gH3Ah0COQJEAk4CbgKiAswC0gLCAr4C1gL9AxkDJAMqAzQDRgNcA3UDkwO5A+QECQQlBEcEfwTKBRIFRgVuBZsF0QYDBi8GXQaLBq8GzQb5B0AHiQe2B8sH2gfIB04GUQU/BN8FxgfXClAMSA0/DWUNXQ2oDj4Oww8PD2QQARC9ETERPBEnES8RORESENQQvRCvEBwOrwzCCxgKJAm+CYgJWAk7CTAJIgkBCNoItgiPCGAILggCB9wHuAebB40HgwdsBzsG+ga6BoQGVwYvBgYF1QWTBTkEygRSA+YDkANGAusCbgHcAUoAxABL/+b/nv93/17/Qv8h/wL+5P7B/pT+Y/42/hP99/3k/dr92P3d/en99P3x/d39xv3A/cz93v3v/g3+R/6Z/u3/J/84/yb/Av7m/t7+3P7H/pX+Vv4g/f796/3j/d/90/21/ZH9h/2k/cj9xv2G/Rz8qPxE+/v70/vL+9j78PwL/Cb8PPxF/ET8Q/xM/GH8fPyU/Kb8rfyv/Lf8x/za/Of87/z5/Qj9Fv0e/SX9NP1N/Wj9e/2F/Yj9iP2K/Yz9jv2M/Yf9hf2G/Yf9iP2L/ZH9mf2d/Z/9n/2i/af9sP2+/c793/3w/gT+HP40/kf+XP52/pT+sP7I/uH+/v8d/zj/U/90/5f/tv/Q/+0AEQA5AFwAewCaALwA3QD+ASIBSAFtAY0BqwHKAesCDAIsAkwCbwKRArEC0QL3AyEDSwNuA4kDowPEA+wEFAQwBEUEXgSCBKkEwwTPBNME2QTeBN8E4ATnBPAE9ATzBPIE8wT1BPUE+AUBBQwFFAUXBR0FJwUxBTsFRQVVBWkFfQWSBakFwAXVBeoGAwYgBjoGTwZgBnQGigacBqsGugbKBtgG4wbvBxcHLgdGB18HeweZB7gH2gf+CCMIQwheCHkIlQivCMgI7AkeCVUJgQmmCc0J9woSChkKFwoWCf4JtQlMCQQJDwlLCWUJMAjTCJQIkAipCLwIwgjJCNYI5wj7CRkJPAlgCYgJxQogCocK3AsUCzoLXAt3C4ELgwuSC7oL7QwaDD8MagydDMQMyAyoDHUMPQv7C6MLOwrYCowKWgo2ChQJ7AnACZEJYAkwCQUI4AjBCKQIhghpCFIIQAgtCBIH7QfCB5cHbwdNBzUHKQciBxMG9wbTBq0GiAZgBjUGDgXzBeYF5AXiBdkFzQXGBccFxAWvBX8FOgTsBKkEgARxBGAEJwO6AzUCwgJ5Ak4CLwIbAhsCLAI/AkUCPgIqAgUBxgFzASAA4gC8AKYAjwBvAE0AMwAqADAAPQBGAEUAMgAR//H/4//s//n/+v/y/+3/7//q/87/nP9q/1T/cv/QAF8A8AFNAWIBUQFTAYUB2AIrAmgChAJtAhUBkQEdAOwA7ADTAGb/vf8r/uf+3/7Y/rH+fv5a/kf+Nv4q/jD+R/5d/mb+bv6G/qz+zP7c/uL+6f70/v//CP8N/wn++v7p/uT+7P72/vb+8f7u/uX+0P6x/pX+hP57/nf+fP6J/pX+kf6A/nL+c/5+/of+iP6C/nz+fP6D/o/+lP6M/n/+eP53/nD+W/5C/i3+Gv4C/eX9zP27/af9jP1z/WP9V/1E/Sj9D/z//Oz80Pyt/I38bPxD/BL73vur+3f7QfsP+ub6wPqS+l36Jfnq+av5bPk5+Rb4+PjS+KH4aPgs9+/3s/d+91D3Ivbw9rn2f/ZC9gP1yfWa9Xb1WfU69RX06PS19IT0WvQ19Avz3POu84rzavNJ8yXzBfLo8sfyoPJ68l/ySPIq8f/x0fGv8ZnxjPGB8XPxYvFS8UbxP/E98ULxU/Fl8WDxK/DL8GfwJvAN7//v3e+i72PvNu8h7xfvCu707truxu657q7uoO6Q7oLue+567n7ugu6E7oHufO567nvufe567nDuXu5I7i/uGO4J7gTuBu4M7hTuIO4z7kzuaO6F7qbuz+7/7yrvQ+9Q717vfu+u7+PwEvA+8G3wpfDe8RPxP/Fh8XnxhvGL8Y3xlPGk8bvx1PH28ivyd/LO8xnzT/N085Lzq/O787/zs/OX83XzYfNq84zztPPX8/30O/SZ9RP1nvYy9sD3Pfet+CD4o/kp+Zr58fo++pD64/sp+2T7pfvz/ED8ePyS/Jb8mvyv/OD9K/1//cX97P32/fD96P3p/gD+N/6L/uj/Nf9m/4T/o//PAAUANwBgAHsAigCQAJUAoQC7AN8BBAEiATcBRgFUAWQBgQG3AgkCawLEAwEDIgMyAz4DUANqA5EDxAP+BDsEdASoBNIE8gUKBSoFXwWtBg0GcAbPBygHewfGCAYIQgh+CL4I+wkwCV4JjwnNChUKWAqGCqMKwArxCzQLeAuwC98MEgxVDKMM8Q03DXcNvA4IDlMOig6jDqEOlg6QDo8OjA6GDoIOhQ6TDqsOzw8DD0YPlA/lEDQQhRDfEUURqxICEkUSgRLGExITUxN0E3gTcBNsE3UTihOpE80T7xQKFBsUGhQFE+UT0RPXE+4T9xPlE8gTthOuE6ATiBN9E5ETrhOlE18S/hLAEsAS4RL2Eu4S4hLsEwkTIBMcEwMS5RLOEsUS2BMYE3wT2RQBE+sTuhOiE7UT6BQfFEYUVhRTFFMUYxR9FIMUZBQyFBcUIhQ/FEsURBREFFoUfBSXFLIU4xU1FZkV9BY8FnYWpBa8Fq4WghZTFjMWFxXdFW0U0BQpE5gTNBMHExATPBNrE4QThxODE30TbRNXE1QTfBPLFCAUXhSEFKkU1hUCFRgVDxTvFMYUnRR2FFEULhQQE/YT3RPCE6oTnROdE6YTrhOyE7gTyhPyFC0UYxR7FGwUTBQ9FE0UaBRvFF8UTRRQFE0T7xLKELUOAAtvCckJZAn0CtcLiwvsDBcMMQw+DDQMDgvZC6MLbAstCuIKkApECgEJxQmJCU4JFAjYCJQISQgCB8YHkAdXBxoG4gaxBoMGUgYiBfgF1AWvBYYFXwU6BRYE7gTJBK8EogScBJYEjgSBBGoERwQfA/wD4gPNA7gDnwOBA10DNwMSAvEC0gKuAoUCWwIyAg0B7AHPAbQBmAF6AVwBPwEkAQ0A+gDsAN0AxwCoAIkAcQBiAFQANwAC/8D/jP+B/53/u/+v/3D/Hf7h/s7+0f7L/q3+fP5J/h79//3k/cT9n/19/Wj9XP1R/UD9Lv0h/Rr9Ef0F/Pr88fzk/NL8vfys/KD8lfyL/IX8gPx5/G38XvxN/Df8HvwI+/v78vvk+9H7wvu7+7T7pPuU+5T7qPu9+777qvuN+3T7Yvta+2r7lfvG+9f7ufuA+1H7QftJ+1X7Xftm+3H7e/uD+4n7j/uS+5D7jPuN+5T7nfuj+6f7rfu1+7v7vvu/+8L7yfvV++L77fv0+/n7/fwC/An8Efwb/Cb8M/xB/E/8Xfxu/IP8mPyr/Lz8y/za/Of88vz8/Qv9H/02/Uv9Xf1t/X39jv2e/az9uv3I/dn96f34/gX+Ef4b/iX+L/45/kL+Sv5S/lz+Z/5v/nb+fP6C/oT+gf58/nr+ff6A/oD+gf6H/pH+lf6R/ov+i/6Q/pP+kv6R/pX+nP6d/pf+k/6U/pf+l/6U/pX+mv6g/qL+of6i/qX+qv6w/rj+vv7B/sD+wP7E/sf+yf7J/sv+z/7T/tn+4f7n/uj+5v7o/vP/Av8N/xP/Gf8h/yn/Lv8v/y7/MP83/0L/Tv9V/1r/Yf9t/3n/gv+L/5n/qP+w/7D/s//C/9f/5//w//b//AACAAsAFQAeACEAHwAiACwAOQBCAEoAVgBmAHQAfACHAJYApQCxALwAzADdAOoA8gD8AQwBHAEpATgBTgFoAX8BkQGkAb0B3QH/AhwCMwJIAmkClwK+AskCuQKuAsYC9wMfAykDIgMjAzcDUgNoA30DnAPHA/YEGwQ2BFcEkATcBSUFWwWCBaoF1wYGBjMGYwaTBrwG4gcXB10HnAe/B84H2Ae7BzEGLQUiBNsF3wgCCm4MOg0ADRUNJQ2SDi8Omg7HDxIPvBCJEQYRGhEZET4RXxE/EPcQzxCtEAoOjQySCuEJ9gmoCY0JaglICTIJHwkDCOcI0gi8CJkIawg8CA8H4we7B5sHgQdfBzAG9ga9Bo0GZAY3Bf0FtwVpBRYEuARQA+cDjQM9AuECagHbAUwAyQBY//r/tf+I/2j/Tf82/yX/E/72/s3+nv5x/kf+JP4O/gj+C/4T/h7+JP4f/gv99f3v/fj+CP4Z/jj+cf67/v3/Iv8m/w/+7P7O/sL+wf64/pr+a/41/gT93/3M/cz9zf3D/bb9uv3M/cb9hP0L/If8H/vc+7T7ofup+8j78PwS/Cn8NPw4/Dn8PvxM/GT8gPya/K38uvzG/Nf86/z9/Qb9Cf0P/Rb9G/0d/SP9M/1M/WT9dP17/X79f/2C/YX9h/2H/Yb9iP2M/Y/9k/2Y/Z/9pv2q/a/9tf27/cD9xv3S/eT9+P4M/iT+Pv5W/mf+eP6R/rP+0/7u/wf/JP9A/1n/cf+Q/7L/0f/qAAcAKgBQAHMAkwC1ANsA/wEfAUABZAGGAaIBvAHaAfsCHAI8Al0CgAKhAr4C3AMAAyoDVgN8A5sDuQPdBAkEMgRQBGMEeASWBLcEzATUBNgE3gTkBOQE4wToBPEE9gTzBO4E7QTwBPIE+AUCBQ4FFgUbBSUFNQVFBVAFWgVoBXoFjAWeBbMFyQXeBfIGCQYlBkAGVgZnBnkGjQagBrEGwwbVBuYG9AcDBx8HOQdTB20HiweqB8oH7AgRCDUIVQhxCJAIsQjQCO0JEwlICYEJrQnNCe4KFAovCjIKJgoTCeoJlAkpCPAJFwlwCZkJXQjrCJsIkgitCMAIxQjLCNwI8gkKCS4JWwmHCbAJ4wouCocK2gsaC0sLdQuPC5YLlgumC8wL+QwcDDkMYwycDMcMygyiDGkMMwv6C6wLSgrnCpoKaApFCiUKBQnlCcIJmQltCUkJLgkWCPgI1AizCJoIhwhvCE8IKggDB9kHqwd9B1oHSQdCBzsHJwcEBtYGpgZ7BlgGPAYrBikGNwZJBlQGVwZaBl0GTQYYBbkFRgTaBI4EbARtBHEEUAP5A4EDFALKApoCdAJaAlkCcQKNApgCkwKDAmQCKAHOAWsBHwD4AOgA1wC4AJYAggCDAJAAmQCYAIsAcwBRADEAHwAfACcAKgAlAB4AGQAQ//r/0v+g/3j/ff/OAF8A9QFQAWIBXgF6AcACDgJOAoICpwKeAkgBvwFPASsBNgEYAKL/+v90/zb/JP8K/tn+pP6A/mr+Xf5d/nP+lP6p/q7+sf7F/uX+//8N/xT/H/8u/zv/RP9H/z7/LP8f/yX/O/9M/0v/Pv8v/x//CP7r/s/+u/6u/qv+s/7B/sf+u/6o/qP+sP7D/sr+xP65/rT+tv66/r7+vv63/rD+rP6p/qD+jv56/mf+Vf49/iP+DP34/eD9xP2t/aD9lv2D/Wn9Uf1A/Sz9Efzy/NX8tvyP/F/8Lfv6+8T7jvth+z37GPrm+qr6a/ov+fP5vfmU+Xr5YPk4+P/4wPiB+EX4Dvfd97D3gfdM9xH21PaV9lf2IfX49df1uPWU9Wn1OPUD9NH0qPSF9F70L/QB897zwfOk84LzYvNE8yLy+vLR8rDyk/Jx8kXyGvH48eHx0PHA8a/xnvGP8YPxe/F48X7xjPGW8YTxSPDt8JnwZvBS8EDwGe/d757vbu9T70XvN+8k7wzu9+7n7tnuyO647q7urO6u7q/uru6r7qfuoO6a7pbulO6O7oLuce5e7kvuOu4t7ifuJ+4q7jLuPe5Q7mnuhu6k7sbu7O8V7zvvVe9l73XvlO/B7/XwIPBB8F7whvC78PXxKfFP8WbxcvF18XPxdfGG8aTxyPHr8hbyUvKe8u3zMPNk84zzqfO487jzqPOJ82XzTfNP82nzjfOy8+f0PfS39UX10/Zb9tr3Tfe3+CH4kfkA+WH5sPn7+kz6oPrr+y37cvu//Av8Q/xg/Gf8avx+/LD9AP1Y/Zz9vv3G/cj9zv3b/fT+Iv5q/rv/AP8s/0b/W/92/5L/rf/D/9b/5//3AAkAIwBJAH0AtQDmAQUBEAERARcBMgFpAbUCBwJOAn4CmwKuAsEC2AL1AxsDSQN7A60D3AQGBCQELgQsBDUEYgS6BS8FrAYiBo0G7Qc6B3UHowfTCAsISwiLCMsJEAlfCbIJ+QopCkYKYwqPCssLCQtAC3ILpQvgDCcMeQzODR0NYg2iDd8OFQ41DjgOKg4cDhUOEQ4MDggODA4eDjkOXQ6ODtEPIw95D8gQFBBsENkRThGwEfUSLBJvEr8TBBMpEy4TKhMqEzMTQBNWE3cToRPME+0T9hPiE7wToROmE7wTvxOeE28TVRNSE0sTMhMgEy8TUhNTExMSshJ1En8StBLeEuES0RLQEuES7BLfEsESqBKgEqYStxLcEx4TbROnE7QTmhN9E4ATqRPmFBgUKxQhFBYUIRRAFFcUSxQhE/0T9xQNFCgUOBRCFFAUYxR4FJEUuhT5FUQVjhXLFgAWMxZiFn4WeBZSFh8V8xXLFZgVSRTYFFATyhNfEyATCRMEEwMTChMnE1gTixO0E9wUFxRiFKcU0xTnFPcVChUVFQsU6hTBFJ4UgRRjFEAUGhP6E+ETyhOzE50TkROQE5cTnhOlE7ITyhPwFCMUVRRxFGoUTRQ7FEgUYRRkFEcUKxQsFCETjxIAD3IMiwpACT8JgQpxC14L8QwxDE0MXgxdDEIMEwveC6sLdAswCuAKjQpACfsJugl7CT8JBwjNCIsIQgf7B70HhAdJBwwG1AamBn0GUQYjBfkF1QW1BZIFaQU8BRAE6QTKBLIEnQSNBIUEggR6BGMEPwQYA/gD3gPFA6kDiQNlAz8DFwLzAtQCtQKUAnACSwInAgEB2wG5AZwBgQFlAUgBLAEVAQIA8wDlANUAvwClAIYAZQBEACYACf/l/7X/g/9l/2j/fv+E/2P/KP73/uv++f78/tX+h/42/gX9+v38/ev9vv2I/WP9WP1Y/VT9Sf0+/Tf9Mf0p/Rv9CPzw/Nb8vPyl/JT8hvx9/Hb8bfxg/FT8S/xF/Dn8JvwR/AL79vvo+9b7xvu8+7L7o/uU+5L7ovu0+7b7ovuE+2n7W/tf+337sfvm+/r72/ua+1z7Ofsz+zr7RPtM+1b7Yvtw+337ivuQ+5H7kfuW+5/7p/us+7H7ufvD+8j7x/vC+8D7xvvS++H77vv1+/n7/vwF/A78Fvwd/CX8MPw9/Er8WPxp/H78k/ym/Lb8xvzU/OD86vz1/QT9Fv0q/Tz9Tf1d/W79fv2M/Zr9qf24/cj91/3m/fT+A/4P/hj+Iv4r/jP+O/5E/k/+W/5k/mn+av5r/mr+Zv5j/mb+bf50/nX+df57/oT+iP6E/n7+f/6H/ov+iP6D/oX+i/6N/ov+if6M/pD+kP6O/pD+lf6a/pv+nP6f/qX+q/6w/rf+vf7B/sL+xP7I/sz+zf7O/s/+0v7W/t/+6v7y/vP+8P7y/vz/Cf8T/xr/If8q/zH/Nv85/zz/P/9F/0//Wf9g/2b/cP+A/5D/m/+l/7D/vf/E/8T/yP/U/+X/9P/+AAQACQAOABQAHgAoACsAKAArADYARQBPAFcAZAB1AIIAiwCVAKUAtQC+AMYA0gDiAPIBAAERASUBNAFAAU8BZwF/AYsBkAGeAcAB6wIPAigCQAJmApYCvgLHArAClQKdAtEDEgM3AzUDJQMmA0EDYwN/A5YDswPbBAcELgROBHQEqwTwBTMFZQWKBawF1AYBBjMGaAadBssG9QcoB2IHkwesB7cHvgeZBwgGBAUHBNoF+ggmCnkMDQybDJcMsQ0yDdUONg5eDrYPdBBQENYQ9hECETIRXRFIEQYQ0BCKD8IONgxMCr0J8gm4CaQJgAlYCUAJLwkaCQYI/AjzCNwItAiBCEoIEAfXB6MHdwdPByYG+QbKBp0GcQY9BfoFqQVUBQEEqQRIA+IDhQMwAtQCYgHdAVUA3QB5ACr/7f+9/5T/cP9W/0X/NP8d/wL+6P7L/qX+e/5e/lX+Wf5e/mD+XP5Q/jv+J/4h/iv+QP5c/oX+u/7u/w7/E/8H/vD+0/62/qD+lf6N/n3+X/42/gb92f2//br9v/3A/b39wP28/Y/9JPyR/A77vPuV+4L7fPuM+7b76vwT/Cr8M/w3/Dv8RPxU/Gr8gvyZ/K38wPzR/OT89f0A/Qb9C/0R/Rb9GP0Z/SH9M/1K/V79bP12/Xz9f/2B/YT9hv2J/Yz9kf2W/Zr9nf2k/av9sv23/cD9zP3W/dr93f3o/fz+E/4o/kD+Wv5y/oT+lP6t/s7+7v8J/yL/P/9c/3X/jP+o/8n/5wACACAARABoAIgAqADOAPcBHAE7AVoBewGaAbMBywHpAgwCLQJNAm8CkwK0AtEC7gMTAz4DbAOXA78D5gQOBDgEXAR1BIIEiwSaBKwEugTDBMwE2AThBOIE4gToBPME+QT1BPAE7wTzBPgE/gUIBRQFHQUlBTIFRQVUBV0FZQVyBYUFmAWqBb0F0wXnBfoGDwYpBkIGUgZeBmwGfwaTBqYGuQbOBuMG9QcJBycHRQdjB4EHoQfBB+AH/QgeCEIIYwiBCKIIyAjuCRIJOgluCaUJ0gnxChEKNQpMCkkKMgoTCeIJjAklCOoJBglUCXsJSgjsCK0IqgjBCMwIzAjSCOUI/QkZCUEJdgmpCdEJ+wo4CoUKzwsJCzYLXgt9C44Lmwu1C98MCAwmDEIMbwypDNIMygyTDE4MFQvhC5wLQArkCp8KdQpWCjYKGQoDCe8J1AmwCZEJewlkCUEJEwjsCNIIwAipCIsIaghJCCIH7we5B48HdgdpB10HSQclBvEGuQaLBm8GYwZjBnEGjAasBr8Gwga+BrgGmgZNBc0FOAS2BGEERQRWBHYEdwQ9A9gDcAMkAvACxQKkAp8CtgLWAucC5gLbAsAChAIkAboBbAFJAT0BKgEFAOAA0ADZAOkA6wDcAMEAogCEAGwAXwBdAF0AWABOAEMAOQAvACIACP/b/6r/oP/nAHcBDAFiAXYBhAG9AhYCXgKGAqQCxALFAoICDAGqAYkBhQFUANgAPP/E/4b/Y/85/wX+2P66/qf+n/6p/sX+5P70/vT+9P8B/xf/Kv81/0D/Tf9c/2n/c/91/2v/XP9X/2j/hv+a/5f/hP9v/1v/RP8o/wz+9/7q/uf+7v72/vP+4/7V/tr+8f8G/wr/Av77/vz+/f77/vP+6/7i/tn+0f7K/sP+uf6v/qP+lP5//mj+Uf45/h7+Bf3z/ej92v3C/ab9jv17/Wf9T/03/SD9AvzZ/Kn8evxI/BL73Pux+5D7a/s1+vT6tPp7+kn6Hvn9+eL5wfmQ+VL5D/jR+Jn4Z/g6+A332/ei92b3J/bn9qz2evZV9jT2D/Xk9bb1hvVT9SL09/TS9Kv0fvRT9DH0FvP789rzufOb83rzU/Mp8wPy3/K48ozyYvJB8ifyD/H58eXx1PHG8b3xuPG58cHxzPHL8avxZvER8MvwpfCT8H3wUfAU79Pvnu9872zvY+9U7zzvI+8O7v/u8O7i7tru2u7d7tzu2O7R7sruwe647q/uqO6d7o7uf+5y7mruYe5X7k7uSe5N7lbuZe537ozupu7D7uLvBe8n70nvZ++A75jvte/a8ATwKfBE8FjwcvCY8Mjw+PEk8U3xc/GN8ZLxifGC8Y3xp/HK8ffyNPKD8tXzH/Na84bzpPOw86nzkvNx80/zOPM4807zcPOd8+H0TfTb9XX2BvaG9vz3aPfK+CX4ffjT+SL5aPmt+fv6T/qi+u/7O/uF+8r7//wi/DL8N/xF/G38tP0F/Uf9bf2E/Z/9wP3h/gD+Jf5Y/pL+xf7p/wL/Fv8l/y//Nf86/0D/TP9f/3v/nv/LAAUASgCOAL0AzgDKAMkA4AEUAVkBnwHYAf8CGQItAkACVQJrAoUCoAK6AtEC6wMGAxwDJAMjAy8DXAOyBCAElgUKBXkF3wYxBm4GnwbTBxQHYAe1CBAIcgjYCTkJiQnACeUKCQozCmYKnArRCwcLOwtwC68MAQxhDLwNAg05DWsNnQ2/DcQNsQ2aDYwNhg2DDYQNkA2nDcYN6Q4ZDl4Otw8VD2cPrxABEGkQ3hFGEZMR0xIdEnASthLcEuYS6hLxEvoTARMQEy8TXhOSE70TzxPAE5sTfRN9E40TiBNdEyYTCBMFEvoS1hKyEq8SxxLGEo8SPRIREioSbRKkErUSrRKpEq4SrhKcEoASbhJxEoASkRKmEsoS/BMuE0gTRxM9E0YTcBOvE+cUARP4E+IT2hPtFAwUGxQME+sTzxPKE9wT+BQSFCgUORRJFF0UexSpFOsVNhV6Fa8V2RYFFjAWRRY1FggV2RW7FagVhBU+FNgUZxQCE7oTjRNzE2cTcROZE9sUIRRdFI4UvBToFQcVExUSFQ8VDRUCFOgUxRSlFIoUchRTFC0UBRPkE80TuhOlE5ATghN+E4QTjxOeE7MTzRPvFBkURhRlFGQUSxQ4FEMUXBRbFDQUDBP/E9US/REJDjALWAmGCSwJ7wsHC9oMQgxrDH8Mhgx2DE0MGgvnC7ILdAsrCtoKigo+CfgJtQl3CTwJAwjHCIUIPgf3B7QHdQc3Bv0GyQabBnEGRwYdBfYF1AW1BZMFaQU3BQcE4gTGBK0EkQR7BHMEdQRyBFwENgQQA/ED2AO9A54DegNSAykDAQLeAr0CnQJ+AmECRQIjAfoB0AGuAZUBfgFgAT0BGwEBAPAA5ADZAMsAuAChAIQAXgAzAAz/7f/T/7P/h/9g/07/Uv9Y/0X/Gv7v/uH+7f7w/sb+bv4T/en9/P4m/jD+BP29/YT9bf1u/W/9ZP1R/UL9Of0w/SH9CPzr/ND8ufyk/I/8f/x1/G78ZfxW/Ef8Pfw2/C78H/wP/AL79vvp+9j7yPu5+6r7mvuL+4f7j/uZ+5n7ivtz+2H7Wvtf+3H7jvus+7v7rPuE+1f7Ovsy+zb7PPs/+0L7SftW+2j7ePuC+4f7jPuV+6D7qPut+7X7wPvL+8/7zPvF+8P7x/vS++H77vv3+/r7/vwG/BH8Gvwi/Cn8M/w//Ez8Wfxq/Hz8jfye/K78v/zP/Nv85/z0/QT9Fv0l/TL9Qf1S/WP9cv2A/Y79nv2v/b79zP3Z/ef99v4D/g7+F/4f/ij+Mf47/kf+Uv5a/lv+Wf5X/lb+VP5U/ln+Y/5r/m3+bf5x/nn+fP53/nD+cv58/oL+gP56/nn+ff5//n7+f/6E/on+iv6J/ov+kP6T/pT+lv6c/qT+q/6y/rn+v/7B/sP+xv7K/s7+0f7T/tX+2P7d/uf+8/77/vr+9/75/wT/EP8Z/yH/Kv8z/zv/P/9E/0r/T/9U/13/aP9x/3b/gP+Q/6T/tf+//8f/zv/T/9j/4f/u//wABAAKABAAFwAbACEAKgA0ADYAMgAzAEAAUgBfAGgAdACDAJAAmACkALQAxgDQANcA3wDrAPgBCQEjAT0BTgFXAWcBhAGdAaIBmgGiAcUB8wIUAicCQwJ1AqsCxwK5ApYCiAKmAuMDGwMyAywDJAMvA08DdQOWA7IDzQPtBBMEPQRoBJYEygUFBT0FaQWJBaUFxwXzBioGaQaoBtwHBQcsB1YHeQeNB5cHmwdyBuMF7AUFBPEGJAhQCoUL4Qw2DBIMKgy1DV4NyA4DDnEPQBAlELgQ5RDzERcROhExEP0QsRApDx0NhgvXCqEKEwnnCcMJjwljCVAJSAk7CSwJJgkjCRQI8Ai5CHYILwfqB6sHdwdOBysHBgbcBqsGdwY+BfoFqQVSBPoEnwQ+A9kDewMkAskCXwHnAW8BBQCwAG8APgAR/+P/tv+Q/3D/Uf81/yj/LP8v/xz+9f7R/sH+wf7B/rr+rv6e/of+bv5c/l7+d/6k/tv/C/8g/xf+/v7o/tf+v/6e/nv+Yv5R/kH+LP4N/eX9u/2c/Y/9jv2M/Yb9f/1p/Sr8uvwz+8f7i/tz+2j7afuD+7b78Pwa/C38NPw5/EH8Tfxe/HH8hvyb/K78v/zO/Nz85/zw/Pj9A/0P/Rf9G/0f/Sr9O/1N/Vz9af13/YH9hv2H/Yn9jv2U/Zr9oP2k/aX9qP2v/bn9wf3I/dP94v3u/fL99f4A/hX+LP4//lL+af6C/pn+rv7I/uf/BP8d/zb/VP90/5D/qf/E/+MAAAAdAD0AYACBAJ8AvgDlAQ4BMwFRAXABkgGyAcsB5QIFAikCSwJrAo0CsALRAu8DDwM0A1wDhwO0A+QEFAQ9BF4EeASLBJQElwSaBKEEqgS2BMUE1QTgBOME5QTsBPgE/QT7BPcE+QT/BQUFCwUTBR8FKQU0BUEFUAVbBWAFaAV4BY0FoQW1BcsF4wX3BgcGGQYuBkEGSwZQBlsGbgaDBpUGqAbABtsG9AcMBz8HXwd/B58HvwfeB/oIFAgxCFMIdAiRCLEI1wkCCSkJUgmECbsJ7QoUCjkKXgpzCmsKSwojCfIJpQlDCPkI7gkSCSsJEwjkCMwI1QjlCOQI3QjjCPUJCgkhCUoJgwm4Cd4KAwo9CooK0gsECyQLQQthC4ELoAvEC+8MFww4DF0MkQzMDOsM0gyJDDUL8wu+C38LLgreCqYKhQppCkgKLAofChsKDgnyCdQJvAmhCXcJQgkVCPsI6gjWCLwIowiLCGoIOQgFB9oHugefB4EHXwc1Bv0GvgaMBnYGewaSBrYG4wcNBx8HFQb/BucGvQZkBdYFNASnBE8ENARPBIUEpwSNBDkD0QN+A0QDGAL1AukC+gMXAywDMgMsAxEC0gJvAggBwwGnAZsBfQFNASUBGwEpATgBNAEZAPQA0AC2AKgApACiAJgAhgBzAGUAXABVAE4APQAV/+D/zgAQAKMBPwGdAbsB2QIhAn4CuQLIAs4C4gLnArYCWwIKAd4BuwFuAO8AZv///7//k/9n/z3/HP8D/vL+7f75/xH/J/8w/zL/Nv9A/0z/Vv9g/23/fP+I/5D/lf+V/5D/i/+Q/6f/w//S/8v/t/+i/47/dv9a/0H/L/8l/yL/JP8m/yD/FP8O/xn/Lv89/z7/O/89/0T/Rv8+/zL/J/8b/wz+/P7w/uv+6f7l/tz+z/6+/qr+lP58/mT+UP5C/jL+Gv38/d79x/2z/Zz9hv11/WP9SP0f/PD8w/yV/GH8LPwA+977t/uB+0D7AvrR+qr6iPpn+kT6Fvnb+Zv5W/ki+PD4wviW+Gj4Mvf297f3ePc89wT21/ax9oz2X/Yw9gT12fWr9Xj1R/Ud9PX0zPSk9IT0aPRM9Cv0CvPr88vzp/N+81XzK/MA8tPyqvKH8mjyS/Iw8hryCvH+8ffx9vH88gjyEfIH8dzxkfFA8QPw5PDR8LPwgPBA7/3vxe+i75Tvke+G72zvS+8z7yXvGu8M7wLu/+8C7wLu/O7y7ubu2u7N7sLuuO6r7pzuj+6I7ojuhe597nPube5x7n3uje6f7rHuxe7f7vzvG+8671jveO+Z77nv1e/w8A7wLvBL8GPwevCT8LDwz/D08SfxY/GW8avxofGL8X/xhPGb8cryFPJx8szzFvNN83jzl/Oi85Xzd/NS8zLzIPMj8z/za/Ol8/b0avT89Zj2Kfap9xz3gvfY+B34XPid+OD5Ivlj+ar5/PpW+q/7APtG+4D7sPvW++77+fwE/CD8Wfyg/OH9Ff1G/X/9u/3s/g/+LP5M/mz+iv6l/r3+0v7d/t7+2v7V/tL+1v7m/wT/K/9X/43/1AAlAGYAggB+AHcAiAC2APUBNAFoAY0BpwG4AcUB0AHaAeQB6wHsAesB7wIAAhgCLwJGAmkCogLuA0IDlwPyBFMEsgUFBUgFhgXKBhgGcwbaB00HyghGCLMJCQlJCXwJqwnaCgcKNQppCqEK1wsHCz4LiAvmDEMMiwzADPANHg08DTwNJg0LDPwM+Az8DQcNHA05DVcNeg2qDfEOTQ6uDwUPUg+iEAIQbRDSESgRdxHKEh8SZBKOEqMSsxLBEsgSyxLWEvMTIhNXE4QTnBOVE3cTWRNRE1kTURMsEv4S5hLeEsMShBI9EhkSGBIUEe8RvBGoEccSBBI7ElkSZxJxEngSdRJkEksSORI4EkcSWxJvEoUSoBK+EtcS6RL6ExQTPxN2E64T1RPfE8wTsBOmE7gT1xPoE9oTthOTE4gTmBO5E+AUAxQhFDUURRRgFJUU4xU1FXIVmRW7FeIV/hX9Fd4VvBWqFaIVjRVbFREUxhSLFGMUSRQ4FDEUORRVFH8UqhTMFOgU/xUQFRYVEhUJFQEU9hTjFMgUrBSUFHsUXhQ9FBkT+RPcE8QTrhOXE4ETcRNvE3oTjROiE7gT0BPuFBYUQBRbFFgUPxQwFD4UVhRPFBwT5hPAE2ISOg/6DREKhwlICX0KhQuSDDYMfAyaDKsMqQyLDFwMKQv2C7oLcgsjCtQKiAo9CfQJrwlwCTUI+Qi7CHoIOAf0B60HaAcpBvIGwAaOBl8GNgYTBfQF1AWzBY4FYgUxBQAE2QS7BJ4EfwRoBGMEaARnBFMEMAQLA+wD0QO0A5IDbANCAxcC8ALNAqoCiQJsAlUCPgIeAfQBzAGzAaQBkwFyAUYBGQD4AOQA1wDNAMEAsgCfAIQAYAA0AAn/5//O/7X/lP9u/0//P/80/x7+9v7J/rD+sv63/p3+W/4V/fz+If5e/nn+Vv4I/bz9kv2G/YH9cP1T/Tj9J/0c/Qz89PzY/MP8tvyo/Jb8g/x1/Gz8Y/xV/Ef8Ovwu/CH8E/wG+/z78fvk+9T7w/uy+6L7kvuG+3/7fPt6+3P7aPtc+1b7VvtW+1L7SvtG+0n7S/tH+z37NPs0+zn7Pfs6+zX7NPs9+077X/tq+3H7efuF+5H7mfug+6r7uPvE+8r7yvvK+8z70fvY++P77/v3+/r7/PwC/A38GPwg/Cj8M/w//Ez8Wfxq/Hr8ifyX/Kb8t/zJ/Nf85Pzz/QX9F/0k/S/9Pf1N/V39a/15/Yf9mP2p/bf9xP3Q/d396v34/gP+DP4U/h7+Kf40/j/+R/5K/kr+Sf5J/kr+Sv5M/lH+Wf5h/mT+Zf5p/m/+cf5r/mT+Zf5t/nX+dP5w/m/+cv51/nb+eP59/oH+gv6C/oP+h/6L/o7+kv6Z/qL+q/60/rz+wf7D/sX+yP7M/tD+1f7Z/t3+4P7l/u/++/8C/wL/AP8H/xX/I/8r/zH/O/9H/0//Vf9b/2D/Yv9m/3D/fv+J/4z/kP+c/7D/xP/Q/9b/2f/b/+P/8QADABAAFgAYAB4AJgArADEAPABIAE0ASgBKAFQAZQBzAH0AiQCWAKIAqgC0AMMA0gDfAOoA9AD9AQQBEQEqAUQBUAFUAWUBigGuAbYBpwGkAcAB6wIIAhYCMQJiApMCpAKWAokCnQLOAwADGAMYAxYDIgM9A2EDhQOnA8QD3AP1BBkESAR8BK0E3AUQBUMFbQWJBaAFvAXnBiMGbQa3BvEHFQctB0cHYwd2B4AHfgdTBssF5QUUBRYGXgiWCsEL+gwhC9sL5AxxDSkNrg4GDoIPRhAbEKoQ4RDtEPwREREUEO0Qfg+eDkEMrQtdCp8KVgonCd0JjAleCVcJWglSCUYJQQlACTQJEgjaCJMISAgBB8UHkwdpB0MHGwbsBrYGfAZABf4FsAVXBPcElAQwA84DcwMcAsQCZQH/AZkBPQDxALcAiwBjADcAC//g/7L/gP9Y/0//av+N/5T/fP9d/0z/Sf9E/zb/Jv8W/vz+1f6q/pL+n/7O/wn/Kv8i/vz+2f7K/sT+sf6I/lj+Mv4X/f/95f3F/Z79df1R/Tz9Mf0m/Rn9Bvzn/Kz8Uvvw+6b7fvts+2P7avuP+8r8Bfwp/DT8Nvw7/EX8VPxj/HX8iPyb/Kz8u/zH/NT84fzu/Pv9Cv0Y/ST9LP00/UD9Tf1Z/WT9cf1//Yn9jP2M/Y/9lv2e/aX9q/2w/bP9tv2+/cv91v3e/ej99/4E/gz+Ef4f/jX+TP5c/mz+gv6e/rr+0/7v/w3/Kf9A/1n/ef+b/7n/0//vAA0AKQBFAGQAhgClAMAA3QECASoBTQFsAY0BsgHUAfECDQIuAlMCdQKVArUC2AL5AxkDOgNdA38DoQPLA/8ENARbBHEEgASQBJ0EowSkBKYErwS+BM8E3QToBOwE8AT3BP8FAgUCBQIFCAUPBRUFGwUjBS4FOgVFBVAFWgVhBWcFcgWFBZsFrgXCBdsF9gYKBhcGIwYzBkEGSAZMBlgGbQaCBpUGqgbHBugHBgciB2gHhwemB8IH3gf7CBYILghJCGgIhwigCLsI3gkICTAJVwmGCcAJ+gotCloKgwqbCpMKbwo/CgwJyQlyCR8I8QjtCPYI9AjtCPMJAgkHCPwI9Aj7CQkJFAkjCUcJfgmzCdgJ/go9CpQK6QsgCzsLTgtoC4sLsAvVC/sMIAxHDHcMswzrDP8M2wyIDCkL3gulC2sLJQrhCrMKmAp/Cl8KRgpACkUKQAonCgYJ6gnKCZwJZAk1CRoJCQj1COAI0QjECKsIgwhXCDIIDwfiB60HegdIBw4GzQaXBoUGmgbIBwQHQwdyB3wHYAc0BwsG2AZ8Be8FUATIBHIEUwRpBKQE3ATdBJkELQPMA4oDYANBAzMDPANTA2gDcwNxA1UDEwKwAlACFQH/AesBwAGHAWEBXwFxAXwBbwFPASgBBQDtAOUA5gDiAM8AtACfAJMAjQCIAIIAdABMABP/+AA0AMsBdwHtAiQCTQKPAtcC/AL8AvYC/gL8AtQCjgJJAhEBzQFoAOkAcwAb/+D/tf+V/33/Zf9L/zT/Lv85/0r/V/9e/2n/eP+D/4f/iP+O/5z/q/+z/7X/tP+z/7T/uv/J/9//8v/5//D/3//M/7f/nP+A/2n/Xf9Y/1f/V/9X/1b/Vf9W/13/Zf9o/2j/bP91/33/ff92/23/Zv9Z/0X/MP8j/yD/Hv8X/wz+//7z/uX+0v6+/qv+nP6N/nX+VP40/hv+CP3y/db9vP2s/Z/9iP1h/TX9C/zi/LH8fvxP/Cn8AfvM+5D7WPst+wv67PrH+pn6X/og+eL5q/l5+Ur5Hvjy+MD4hvhG+Af3y/eT92D3NPcN9uL2sfaB9lf2MfYD9c31mPVq9UP1H/T69Nn0u/Sc9Hr0WfQ59Bjz9PPL86LzePNL8x3y8vLL8qfyh/Jr8lXyRfI68jXyNfI98kvyVfJK8hvxzfF78UHxIfEH8N/wpfBk8CTv8O/Q78fvyO++76Dvee9e71HvSO867yvvJO8l7yXvHu8R7wHu7+7f7tPuyu7A7rTuqe6k7qTupO6f7pbuke6U7p/uru6/7tHu5e7+7xrvOO9S72vviO+s79Dv7vAE8BnwMvBR8HDwjfCl8LnwzPDm8Q3xQPFw8Y/xm/GZ8Y/xgvGA8Z/x7PJY8r7zBvM181rzevOI83vzW/M18xbzBvMP8zXzdPPC9CD0lPUf9bL2Pfa89y/3j/fW+AT4K/he+J/45Pkj+WT5r/oI+mf6u/r7+yn7Tvtv+4z7n/uv+8r7/Pw+/IT8yP0Q/V/9q/3l/gv+JP42/kP+UP5i/nv+kv6b/pj+kP6I/oH+f/6M/qn+z/71/yT/av/CAA8AMgAsAB0AJQBMAIgAxQD7ASMBPwFRAVsBZAFsAXEBbwFjAVUBTwFZAXMBlgHDAf0CQgKIAsQC/AM7A4kD3AQqBHIEuwUKBV8FuwYlBqQHMQe6CC4IiAjQCQ8JSQl9CagJ0goDCj0KdAqjCtQLFgtqC8AMCAxBDHIMmgyuDKcMkAx8DHQMdgyCDJYMswzTDPENFQ1HDY8N5w5FDqAO9g9KD6MQAhBjEMERGxFzEcYSCxI9EmQSghKWEpsSmBKgErwS5hMVEz4TWRNcE0YTKhMcEx0TGBMDEuwS5RLeErISUhHfEYsRaBFhEVsRVhFeEXkRnhHCEeYSChInEjcSNhIpEhYSBBH9EgYSHRI7ElYSbhKCEpUSqhLFEuYTDRM6E24ToxPGE8QToxN+E3QTjROuE7YTmxNuE0oTQxNdE48TyRP6FBUUHRQoFFAUmRTvFTMVXhV+FZ0VthW5FaUVjRWCFX0VaxVCFQ0U4RTKFMQUxBTDFMIUxhTSFOEU6xTxFPYU/RUDFQIU+xTzFOkU2hTCFKkUkhR8FGAUPRQdFAUT8BPYE7wTnxOFE24TYBNjE3YTkBOmE7YTyBPpFBcUQxRXFEsULxQlFDgUShQ0E/ITrhNsEtYRZw7/DDoKJQl1CggLHQv/DHYMqQzHDNYMxwydDGoMOQwFC8MLdAsiCtUKiwpACfIJqAllCScI6girCG4IMgfzB60HZAcjBu0GugaEBk8GJgYLBfUF2AWzBYoFXwUvBP8E0wStBIoEbARZBFYEWgRWBEMEJgQIA+oDywOrA4kDYwM5Aw4C5QLAApwCeAJbAkcCMQIPAeYBxgG6AbgBqgGGAVMBIAD6AOAAzgDBALUApgCUAHwAXgA5ABH/7f/P/7b/nP98/1n/OP8b/v3+1/6t/o7+hP6I/oX+bP5J/jz+Vv6E/pz+gf47/e39tv2d/ZL9f/1d/Tf9G/0L/Pv85PzK/Ln8svyr/J38ivx5/G38YfxU/Ef8O/ws/Bv8Cfv7+/D74vvT+8T7tvup+5z7kPuI+4D7dvtq+1z7UPtI+0f7SftI+zn7IPsI+wH7CvsX+yD7JPsp+zD7M/sw+yn7Jvst+zr7SPtS+1n7Yvtu+3n7gfuI+5L7oPuu+7j7wfvL+9T72/vf++X77vv1+/n7+vv//Aj8EfwY/CH8Lfw7/Ej8Vvxn/Hj8h/yT/KH8svzC/NH83vzu/QH9Ev0h/S79PP1M/Vr9Zv1z/YH9kf2g/a/9vP3I/dP93/3r/fj+Av4K/hT+H/4p/jD+M/40/jT+Nv46/j/+Qv5D/kb+S/5R/lX+WP5e/mT+Zv5h/lr+Wv5g/mb+Zv5i/mL+Zf5p/m3+cf52/nn+ef55/nv+fv6D/of+jv6W/qD+qv60/r3+w/7F/sj+zf7S/tb+2/7h/ub+6f7u/vj/Bv8P/xD/Ev8e/zD/Pf9C/0f/UP9d/2j/cP92/3j/d/94/4L/k/+f/6H/of+p/7r/zv/c/+T/5//n/+z/+QANAB4AJQApAC8ANwA8AEAASgBZAGUAaABoAG4AegCHAJMAnwCsALgAwADIANAA2QDlAPYBCQEVARoBIgE0AUUBRwFDAVMBggG0AcQBtAGpAcAB6wILAhoCLAJMAmoCcgJvAoMCugL6AxsDFAMDAwkDKQNSA3UDkwOyA84D5AP6BB4EUQSFBLIE2wUMBUEFbgWKBZ4FuQXnBigGeAbIBwMHIQctBzwHVAdmB2sHYQcyBrIF2wUcBTUGnwkBC0oMgwyPDCIMDQyRDVoOAw58DvMPiBAiEJIQyhDdEOgQ+REFEN8QRg8UDX0MBQsfCs4KrQpgCeMJeAlOCVYJZAljCV0JWglXCUgJJgjxCK0IZAgiB+sHvgeSB2QHMgb+BsUGiwZOBgsFuwVdBPQEiQQiA8QDbQMbAskCdgIiAc0BegEwAPUAyACfAHcAUgAvAAT/zf+c/5D/r//h//8AAP/2//P/8//m/8z/sf+a/3z/R/8B/sb+tP7Q/vr/Cf7u/sD+p/6u/rz+rf58/j/+Df3m/cD9mP1t/T/9EPzm/Mj8t/yo/JX8fPxd/DD79vu++5f7hPt5+3X7gfuo++H8Ffwy/Dn8O/xB/E38W/xo/Hb8hvyX/Kj8tvzF/Nf86fz5/QX9Ev0g/S/9Pv1M/Vr9Zf1t/XX9gP2L/ZH9kf2Q/Zb9nv2l/av9sv26/cH9yP3T/eL98P36/gT+Ev4j/i/+Of5K/mL+ev6M/p/+uf7Z/vn/FP8w/07/av+D/5z/uf/Y//QADgApAEYAYgB8AJkAuADVAPABDAEuAVMBdQGVAbYB2wH/Ah0COgJbAnwCnQK8At0C/wMfAz8DYQODA58DuQPeBBMESARsBHwEhgSYBKsEtgS3BLkEwQTQBN4E6gTyBPkE/gUDBQYFCQUMBRAFGAUgBSYFLAU1BUAFSwVUBV4FZwVvBXcFhgWaBa0FvQXQBekGBQYZBiQGLgY9BkwGVQZeBm8GhwaeBrMGywbtBxEHMQdLB5AHrgfKB+AH9wgSCCwIRAhcCHgIkgipCMEI4gkKCTAJVAmACbsJ+gozCmQKkQqzCrcKlQpeCiIJ4QmVCUcJEAj7CP0JAwkLCRUJHgkcCRAJCwkSCRoJGwkhCT8JdAmpCdEJ+Ao6CpoK/wtKC3ELgwuUC60LywvpDAgMKgxUDIoMxgz3DQQM3gyMDC0L2wufC2cLKgrtCsEKpwqRCncKYwphCmcKYgpJCikKCwnsCb0JhAlSCTQJHwkLCPsI9QjzCOQIwwigCIIIYAgsB+wHsAd7B0IHAQbMBr8G3wcbB2EHoQfJB8QHlQdcBzAHAwazBjMFoAUlBNAEpASiBM4FCgUgBOsEfgQPA8UDnQOHA3wDfgOMA54DrAOsA48DSwLqApECXgJHAikB8AGzAZUBngG0AbUBngF6AVYBOQEjARoBGQESAP4A5ADRAMsAyADBALkAqACAAEIAGwBHANQBjQImAoECtwLlAwkDFwMUAxMDFQMEAtYCmwJlAioB1QFhAOUAfQAx//v/2f/J/8D/rf+L/27/Zf9w/37/hv+R/6T/u//G/8L/u/+7/8X/0f/X/9f/1f/W/9z/6f/5AAoAFQAYABMACf/4/+D/w/+n/5T/jf+M/4z/jP+P/5X/nP+f/57/mf+W/5n/of+p/6r/pP+f/53/mf+L/3b/Yv9a/1f/Uf9E/zT/Kv8l/x3/D/79/uz+3f7J/q3+jf5z/mP+U/47/hj9+f3l/dn9xv2l/X39Vf0t/QD8z/yg/HX8S/wb++b7tPuK+2f7RPsa+uT6pfpm+i75/vnR+aT5dvlI+RT41/iW+Fj4H/fq97r3jfdj9zb3BvbX9q32g/ZR9hj14/W69Zr1efVW9TL1D/Tt9Mr0p/SF9GH0OvQT8+3zxPOZ82rzPPMR8unyxvKq8pTyg/J48nHycfJ68ovymvKT8mXyFvHA8YDxWfE38QfwyvCL8FPwJvAK8ALwA+/579jvr++Q74Lvd+9m71XvTO9M70vvQu8y7x7vCe737uru5O7f7tjuzu7H7sPuwu6/7rzuuu677sHuze7e7vPvCu8j7z/vWu9x74Xvm++77+HwA/Ab8CrwOvBR8HDwk/Cz8NDw6vEB8RTxJPE08U3xdvGi8bjxp/GF8YPxwfIt8pjy3/MI8yjzSfNd81jzPvMf8wLy8vL88ynzdvPX9EL0ufU99cb2SvbE9zP3jffF99/39Pge+GD4qfjq+ST5Zvm4+hP6ZPqe+sD61vrs+wb7IPs8+2H7l/vb/Cf8ePzP/Sn9e/26/eX9//4L/g3+EP4g/jz+Vv5d/lT+R/48/jL+L/47/ln+ff6g/s3/FP9x/8H/4//V/7n/tP/SAAcARQCAALIA2ADzAQkBHwE2AUYBSQE+ASwBIgEnATwBXQGNAc0CFgJZAo0CuQLsAywDdQO9BAUEUgSiBPEFQgWjBh8GrQc5B7AIDghbCKII4wkZCUQJbAmbCdQKDQpACnQKtAsAC00LkAvIC/UMEwwaDA0L/Qv3C/sMBQwUDC0MTQxuDI4MtwzxDT0Nkg3rDkMOmg7uD0APmA/4EFwQvBEUEWMRqRHpEiMSUBJpEm0SaBJvEocSqRLNEvATDRMaEw8S+BLmEuES3BLTEtAS3BLhErYSSBG0ES8Q4xDSEOwRFhE6EUoRTBFUEXMRohHMEeER5BHfEdcRzhHJEdAR5BIFEi0SWBJ7Eo4SlRKfErUS1RL8EywTZROWE6cTjxNjE0cTTBNkE3MTZhNDEx0TChMZE0kTixPFE+QT6xPzFBUUVhSlFOgVFxU7FVsVdBV5FWsVVhVHFT8VMhUZFPcU2xTPFNUU4hTpFOgU5hTrFPQU+RT4FPQU8xTzFO8U5hTbFMwUtxScFIMUbxRaFD0UGhP+E+0T3xPGE6QThRNuE1sTUBNWE24TjROgE6cTtRPcFBUURRRSFDwUIRQfFDIUNhQJE7gTaRMSEk0Qqw47C7kKHwnhCqMLogxVDKwM2wz6DQAM4QysDHcMRwwQC8kLdwslCtgKjwpECfUJpgleCRwI3QifCGMIKwfxB64HZgchBucGswZ8BkYGHQYGBfQF2QWzBYgFXgUyBQEEzwSfBHcEWwRNBEoESAQ/BCwEFgP9A+EDwgOiA4QDYgM6AwwC4gK6ApMCbAJOAjcCHwH7AdIBtwGzAbYBqAGDAVABIAD7AN0AxgCzAKIAkQB9AGYATQAzABT/8v/Q/7P/mv9//1z/M/8L/uz+0/65/pz+h/6A/oT+hP57/nH+cv58/oH+bv4//gL90P24/bL9p/2H/Vj9Lv0T/QD86PzN/Lj8rvyp/J78j/x//HD8X/xN/D/8NPwn/Bb8A/vy++P70Pu9+677o/ub+5L7i/uG+4H7d/tp+1r7TftC+zz7Ovs4+y77G/sI+wD7BfsO+xT7FPsV+xr7Hfse+xz7HPsj+y77OftC+0r7VPtg+2r7cft2+337iPuU+6L7svvD+9H72Pvb+9/75vvv+/T7+Pv+/AX8C/wS/B38LPw8/Er8Vvxl/Hb8hvyS/J78q/y6/Mn81/zn/Pj9Cf0Y/Sj9Of1I/VX9YP1t/Xv9if2V/aP9sf29/cf90v3f/e39+f4B/gj+EP4X/hv+G/4b/h3+Iv4o/i3+Mf40/jX+Of4+/kT+S/5T/ln+W/5W/lH+Uf5W/lr+Wf5V/lL+Vf5b/mH+Zv5r/m7+cP5z/nX+ef59/oP+jP6V/p/+qv61/r7+xf7J/s/+1v7c/uD+5P7q/u/+8f73/wP/E/8e/yD/JP8w/0H/Tf9Q/1L/Wv9n/3P/ff+F/4f/hf+F/4//nv+p/63/sP+7/8r/2v/o//X//v////4ABQAWACgAMgA3AD4ARwBLAEwAUABdAGwAdAB2AHoAhACRAJ8AqwC4AMUA0ADZAN8A4QDnAPgBEgEnATEBOQFGAVMBUgFKAVgBiAG+AdUBxwG8AdUCBwIwAkECSAJVAmACXwJhAoMCxQMGAx8DEgMDAxIDPANmA4UDnwO8A9cD7AQCBCkEXASLBK0EzwT/BTkFaQWFBZoFugXvBjUGhQbTBwwHJAcpBzEHRAdSB08HPQcNBpYFzQUdBUwG4Al8C/oNTQ1RDMQMiwz4DcYOjA8dD4IP0xAaEFoQlBDAEN4Q8RD1ELkP9Q6UDPULsgslCxIK8Qp5CdYJZAlJCV8JdwmACYMJhAl7CWIJOwkICMkIgghACAsH3wexB30HRwcSBt8GpgZnBh4FygVmBPYEgwQbA8ADcAMkAtgCjgJHAf4BsgFqAS0A+wDPAKcAhwBwAFMAKv/+/+0ABAAxAFoAdACKAJ8ApQCNAFsAJf/6/9H/lf9D/vP+xP7E/tn+3P6+/pj+j/6o/sH+tf5+/jX98v22/Xz9Qf0J/NL8nPxt/E38O/wv/B38Bvvs+8/7sPuX+4v7i/uQ+5X7pPvC++78Fvww/D38RvxQ/F78avx1/ID8jfyc/Kv8uvzL/N788Pz8/QT9DP0c/TL9Sf1e/W79ev2B/Yj9kP2X/Zn9mP2b/aT9r/20/bf9vf3I/dP93v3s/f3+Dv4b/if+OP5L/lv+aP55/pL+rf7F/t/+/v8i/0P/YP99/5z/uf/S/+oABAAeADQASgBkAIEAnQC3ANEA7gEMASYBQQFgAYIBowHCAeICBQImAkQCYQJ/Ap0CuwLaAvwDHQM8A1sDfQOfA7oD0wP2BCgEWwR8BIsElwSrBMEEywTKBMkE0QTeBOkE8gT6BQIFCAUMBQ8FFAUaBSIFKQUvBTUFPQVHBVEFWQVhBWsFdgWABYoFmQWrBbwFywXcBfUGEAYlBjEGPgZSBmcGdwaIBp4GugbSBucHAQckB0YHYAd2B6kHxQfeB/AIAwgcCDcIUAhmCH8ImQiwCMoI6wkRCTUJVAl8CbQJ8gopCloKjgq/CtYKwAqECjkJ7wmkCV0JLAkaCR8JKAkrCSwJLQkrCSUJIwklCSYJIgkkCT0JbgmlCdMJ/go7CpULAAtfC5wLuAvCC88L5AwADB4MPgxoDJsM0gz7DQQM4QyYDDwL5wumC3ALOAr/CtAKsgqdCowKgQp/CoIKeQpjCkgKMQoUCeUJqQlyCU0JNQkiCRkJHAkhCRUI9wjYCMIIqQh+CEMICgfWB50HXwcxBysHTweGB7wH5gf1B9sHnwdnB04HQwcXBrMGMwW9BV4FFQTtBPoFMQVXBTUEzARVBAMD3gPPA8YDwgPHA9QD3wPeA8ADfAMfAs8CoQKHAl8CHAHdAccB2QHuAeYBwQGYAXkBYQFNAT8BOgEzASIBDgECAP8A+wDxAOYA1QCxAHUAQgBRAMEBcwInAqwC+AMWAxkDFQMdAy4DLwMMAtACmgJ0AkIB6QFvAPcAmgBYACcACgAEAAT/8v/N/67/p/+y/77/xf/Q/+T/9v/8//P/6P/k/+f/7f/x//X/+QAAAAoAFgAhACcALQAyADcANAAlAA3/8f/a/8v/xf/D/8L/w//I/9D/2P/a/9T/zv/P/9j/4P/g/9b/y//G/8b/wf+x/57/kf+O/4z/gv9x/2T/YP9g/1r/TP85/yb/E/79/uT+zP64/qj+lf55/lf+Of4k/hb+Bf3q/cb9n/12/Ur9G/zs/MD8lPxo/Dv8D/vk+7z7kvtj+yz67vqz+oD6U/om+fj5yPmX+WH5Jfjn+Kz4dfhA+A333/e094j3W/ct9v72yvaR9lj2LPYO9fb12PWx9Yj1YfU79Rf08vTM9KX0f/Ra9Db0EfPn87rzjPNd8zDzCfLq8tTyw/K28q3yrPK38s3y4/Lj8rnyZ/IL8cLxkfFn8TTw+PC+8I3wY/BH8DvwOfAt8A7v5e/E77Dvn++M73vvcu9w72zvX+9O7zvvKe8X7wvvBu8D7v/u9e7s7ubu4+7j7uPu5O7n7uvu9e8F7xvvMe9I72Dvee+P76Dvsu/M7/DwF/Az8EHwSfBX8G/wkfC28N7xB/Ep8TbxKvET8RbxSPGX8c7xx/GT8XLxlfHx8lPyl/LA8uTzCvMl8yrzHvML8vby5/Lv8xzzbvPX9Ev0yPVM9dH2T/bE9y33gPeu97v3w/fk+CX4cPiz+Oz5KPlw+cD6Cvo9+lX6XPpi+nP6j/qz+t/7GPte+6/8Cfxo/Mf9Hf1j/Zb9tv3E/cT9xv3a/fz+Gf4f/hD9+v3o/dv91/3l/gX+K/5Q/oD+zP8r/3n/lf9//1n/Rf9T/3v/tf/2ADYAbgCdAMgA9AEgAUEBUAFLATwBMAExAT8BWQGBAbgB+AI1AmgClALFAv8DPgN+A8MEDgRcBKYE8AVJBbkGPQa/BzIHkQfiCC0IcQioCNMI+gknCV4JmgnVChMKWAqiCuYLHwtLC20Lfwt+C3QLcQt9C48LnwuuC8UL4gwDDCcMWgyiDPcNTQ2gDfEOQA6LDtUPJw+JD/MQVxCsEPcRQhGPEdcSEBIvEjkSOhJCElUSbRKGEqMSwRLWEtcSyBK5Eq8SphKbEpoSrRLDErASVhG+ERsQpRCCEKkQ8BEgER0Q/BDpEQERNBFlEYARixGSEZkRnhGjEaYRqxG/EfISQRKMEq4SoRKGEoASmRLEEvMTIhNNE2UTXxNFEywTIhMjEyUTHhMMEvMS4BLmEw0TSROAE58TqRO1E9kUFRRbFJoUzBT0FRgVNBVDFT4VKhUTFQUVART9FO0U0xS/FL4UzBTZFNgU0BTRFN8U7xTzFOwU5BTcFNMUxhS3FKUUjhRzFFsUShQ6FCAUARPnE9YTwxOlE4ITaRNaE04TRBNJE2ITgxOUE5YToRPMFAwUPhRFFCwUFhQbFC0UHxPdE4QTMxLLEeAQGg2yC3gKRgpVCygMCQyZDOMNEg0sDSQM+gzCDI0MVwwWC8kLdQsjCtQKigpCCfcJqAlaCRQI1AiWCFcIGwfjB6kHZgchBuIGqgZ0BkEGGQYABe0F0wWtBYIFWQUuBP4ExwSRBGYESQQ8BDgEMQQkBBMEAQPsA9EDsQOVA3wDYAM6Aw0C4gK5ApACZgJEAioCDwHqAcABpAGbAZgBiAFlATsBFgD2ANkAvgCnAJMAfQBlAEwANgAjAA3/8P/O/6z/kf93/1f/Lv8F/uz+5P7d/sv+rP6Q/oH+gf6D/n3+bf5a/kn+OP4g/f393v3T/dv93/3G/Y/9VP0q/RH8+fzd/MT8tPyr/KD8kvyE/HP8XfxF/DL8J/wc/A77/fvt+9v7xvuv+577lPuO+4f7gPt8+3n7c/tq+177U/tH+zr7MPsq+yb7IPsY+xX7FvsV+xL7DPsI+wn7C/sO+xH7Ffsa+yL7K/s2+0L7T/tc+2n7cft2+3n7f/uI+5X7pPuz+8D7yPvM+9L72vvj++v78vv6/AH8B/wO/Bv8L/xC/E/8WPxj/HL8gvyN/Jf8ofyv/L/8z/zg/PD8//0N/R39Lv09/Ur9Vv1l/XP9f/2J/ZX9o/2w/br9xP3T/eP98P32/fr9//4E/gf+B/4K/g7+Ev4V/hf+G/4f/iL+Jv4r/jT+P/5J/lD+T/5K/kX+Rv5M/lH+T/5K/kf+SP5O/lT+Wf5e/mL+Z/5t/nP+d/58/oP+jf6Y/qH+qv61/sH+yf7Q/tf+3/7l/ur+7v7y/vb++f8A/w//H/8o/yn/Kv80/0P/TP9Q/1P/W/9l/2//ef+D/4r/jf+R/5n/o/+q/7D/u//M/9v/4//s//wADgAVABIAEwAfADAAOgA+AEUAUgBbAFsAWABbAGQAbQByAHcAggCSAKAArAC2AMIA0gDkAPAA8wDyAPsBDwEmATYBQQFRAWIBaQFpAXcBngHLAd8B1QHPAeoCHQJHAlcCXAJpAnoCgQKDApYCwwL1AxIDFQMXAysDTgNuA4gDowPDA98D9AQOBDgEaQSPBKYEwgT0BTEFYAV8BZUFwAX/BkcGkwbbBw8HJQcnBysHOQdBBzcHIAbxBoQFyQUmBWYHFQnUDHUN5A32DWoNIw16DjgO/Q+OD90P+BAAEB0QXxCsEN4Q5xDEEFkPcQ4NDJMLkQs6CzULAQpzCdEJcwlrCYgJoAmtCbgJuQmmCX4JTwkdCOAImghVCB0H7wfAB4wHWAcqBvwGxAZ/BjAF2QV0BQIEjAQiA8oDgAM3AuwCowJfAhsB1wGWAWABMwEHANsAuACjAJIAfABiAFUAYAB+AKUA0AEAASoBNgETAMoAdQAs//D/sv9m/xf+4P7Q/t3+5P7R/rP+qP65/sv+vP6C/i791P17/Sf82vyZ/F78KPv6+9/71vvS+8n7uvuq+5j7hft2+3b7hfuc+7D7wvvW+/D8EPwu/Eb8WPxm/HP8gPyM/Jj8pvy1/MT80vzg/O78+fz9/P/9B/0c/Tn9Vf1s/X39if2R/Zf9nP2h/aL9pP2r/br9yP3Q/dL91/3h/e39+f4I/hv+Lv49/kz+YP50/oX+kv6i/rr+2P70/xL/M/9X/3n/mP+3/9f/9AAOACUAPQBUAGgAewCUALEAzgDoAQIBHgE7AVYBbwGLAaoByQHnAgUCJAJDAmECfgKcArkC1QLzAxUDNgNTA28DkAOzA9MD8AQSBD8EawSJBJoEqgTABNME2ATUBNME3AToBPIE+gUCBQsFEQUVBRkFIQUqBTIFNwU8BUEFSgVUBV0FZQVuBXoFiAWSBZsFpwW4BcoF2wXuBgYGIAY0BkQGVwZxBowGpAa6BtQG7wcHBxwHNgdUB3AHggeSB7YHzwfkB/QIBwgiCEAIWghyCIoIpAi8CNcI9wkcCTsJVwl6Ca0J5gobCk4KjArPCvgK6gqpClIJ/AmsCWYJOAksCTgJRQlFCT8JPQlBCUIJPQk3CTIJLwkzCUcJcAmoCeAKEgpFCowK6wtSC6QLzwvaC+AL9AwWDDsMXAyCDLEM4w0JDREM8gytDFAL9QusC3YLRgsSCuEKvgqqCqIKnwqgCp0Kkgp+CmwKXApCChIJ0wmYCXAJWAlKCUgJUAlWCUgJKAkLCP0I8wjbCLAIfghICAwH0weyB7gH1wf2CAgIDggCB9YHlAdoB3IHmwemB2kG9wZ2BfoFiAU2BScFWwWSBYQFJASoBE4EJwQZBA4EBAQDBAoEEQQKA+cDpANQAwsC5QLLAp0CUwIQAfgCCQIbAgwB4AGzAZQBfQFoAVcBTQFFATkBKwEkASMBHwEUAQgA/QDjALIAewBtALIBRgIBAqgDDwMtAx4DEwMpA1ADVwMoAt8CqgKNAl8CAgGEARIAxACNAGIARgBAAEAAMQAR//f/8//8AAUACgARAB0AJQAiABoAEwAPAAsACQAMABUAIQAuADoAQwBFAEMARABNAFcAVwBKADUAIQARAAX/+//1//T/9//8AAIABgAGAAMAAwAKABMAFgAO////9P/z//P/6//b/8v/xP/D/7//tP+o/6L/o/+j/5r/if91/2D/Sv80/yD/DP71/tv+v/6k/o3+eP5l/lL+Qf4r/g395/28/Y/9Yv00/Qb82/yz/I38ZPw4/Ar72/up+3P7OvsE+tT6qPp8+k36G/nm+a75dPk7+QP4y/iU+F/4L/gE99r3rfd890f3C/bP9p32fPZo9lP2MvYG9dj1rfWF9V71N/UQ9On0xfSk9IL0XfQ29Avz3vOt83rzTfMt8xjzB/L48u3y7fL88xnzNvM68xHyvfJZ8gXxy/Gb8WnxMvD98Mzwn/B98GzwZvBb8D/wGe/2793vyO+z76Hvlu+P74TvdO9k71fvSe867y7vJu8j7x7vFu8M7wbvA+8C7wTvCO8O7xbvIe8w70LvU+9k73nvku+r78Dv0O/l8APwJ/BG8FfwX/Bq8H/wnPC88ODxDPE78VjxT/Ep8RDxK/Fz8bLxt/GL8WPxcPGv8fnyMvJf8o/ywPLk8vLy8/Lu8uXy3vLp8xfzafPR9EX0w/VL9dH2Tfa89x73aPeP95b3mPez9+74OPh/+L34+vk9+YT5xvny+gP5/fn0+ff6C/os+lT6hvrI+xr7dvvW/Db8j/zf/R/9TP1j/Wz9d/2Q/bX90/3a/cv9s/2b/Yj9gf2P/a/91/4B/jf+hf7f/yb/QP8v/w7+9v70/wr/OP98/8kAEgBRAIoAwwD7ASsBRwFOAUUBOwE6AUUBXAF7AaQB0wIDAjECXQKOAsQC+gMyA3EDvAQNBF8EsQULBXEF3gZIBqkHAgdVB6UH6wglCFEIdwiiCNgJFQlWCZwJ6AoyCnAKnAq5Cs4K2greCuEK7wsLCykLPwtPC2ELeQuYC8MMAgxUDK4NAw1QDZoN4Q4lDmkOuw8fD4sP7RA/EIsQ2REsEXoRuBHiEfkSBxITEiESMBJBElgSdRKOEpgSlhKPEogSexJoElwSZhKBEosSWxHgEToQqRBrEIwQ1hD/EOQQpBB+EJAQxhD9ESQRPhFTEWURdBF9EXgRaRFqEaYSHxKfEtoSuRJyEksSXhKSEsMS5xMCExgTIhMiExoTDRL8EusS4BLYEssSuRK1EtETBxM8E1wTahN5E5sT0RQSFFMUixS2FNcU9RUPFRoVDhTyFN0U3xTtFOoUzRSoFJwUrRTFFMwUwRS7FMQU1BTYFM4UvhSxFKUUmBSKFHwUaRRSFDwUKxQdFAcT7RPVE8ATqBOHE2cTVRNPE0cTPRNAE1kTeBOHE4YTjxO7E/sUKhQuFBcUCRQVFCEUCBPBE2sTHBKjEZMPrw1UC1gKcgqwC4UMTwzMDRMNPw1QDT0NEQzhDK8MbwwgC8oLdAsfCsoKfAo4CfUJqAlVCQkIyQiKCEUIAwfNB50HZQcjBt8GogZtBj4GFQX4BeIFxwWiBXYFSgUfBPEEvASFBFYENgQmBB8EFgQJA/sD7QPaA70DnAOAA2kDUQMuAwYC3wK6ApICZQI+AiECBgHjAbgBkwF9AW8BWwE/ASEBBwDuANUAvAClAI8AdwBcAEAAKQAXAAX/7v/O/6v/jP9x/1P/MP8M/vf+9f76/vH+0P6h/nr+bf51/n/+df5U/i7+Ev4A/fD94v3j/fb+Bv31/b39eP1D/SP9DPzz/Nr8yPy5/Kn8l/yH/HX8X/xF/C78IPwV/An7+fvq+9r7xPus+5n7j/uJ+4L7evtz+2/7avti+1n7UvtJ+z77Mfsm+x77GPsV+xT7FPsT+xH7DfsL+wj7BvsG+wn7DPsP+xL7G/sn+zb7RvtX+2n7ePuA+4T7ifuQ+5j7oPuo+7D7uPu/+8f7z/vX+9/76Pvx+/j7/fwF/BT8K/xA/E38VPxc/Gn8d/yC/Ir8lPyi/LX8yPzb/Ov89/0D/RH9H/0t/Tn9R/1X/Wb9cf16/YX9lP2h/az9tv3F/db94/3p/ez97/3z/ff9+/4B/gb+CP4G/gT+B/4N/hP+GP4d/if+NP5A/kb+Q/49/jf+Of4//kT+Q/5A/j7+Qf5H/k3+Uf5U/lr+Yv5r/nP+ef6A/on+lP6d/qX+rf63/sT+z/7X/tz+4v7p/vD+9v75/vr+/v8H/xb/I/8o/yj/Kv80/0H/S/9T/1z/Zv9t/3L/eP+C/43/l/+g/6j/rf+t/7H/wP/U/+D/3//g//AABwAWABYAFwAjADMAOgA6AEEAVQBoAG8AagBnAGoAcAB0AHsAhwCXAKYArwC0ALwAzADmAP0BCAEGAQMBCgEZASUBMAE/AVYBbAF9AY8BqgHEAc8ByQHIAd8CBAIeAigCOAJhApoCwQLJAsICygLnAwkDIwM0A0MDUwNlA30DnQPBA+AD+QQYBEUEdASSBKIEuwTsBSkFWgV6BZ0F1AYaBmEGpAbjBxIHJwcpBy4HPQdGBzsHIAbtBn0FyAUyBX0HLAneDHUN7g4qDdUNsw4HDqEPPA+yD/MQAg/9EBUQXxC4EOMQxxBpD8kO0Q2MDE0LewswCxwK3wpmCe4JtAm2CckJ1QncCeMJ3Qm9CYoJVQkiCOgIpQhhCCkH+gfKB5gHaQdABxQG2QaPBj0F5wWHBRkEowQ6A+UDngNTAwECrgJjAiEB5QGxAYoBaQFFARgA7ADNAL4AuAC0ALUAvQDNAOgBEwFKAXkBhgFlARoAuQBYAAT/vP97/z//E/8F/xP/I/8a/vn+1/7H/r/+pv5r/g/9oP0s/MD8avwp+/T7xfui+5P7lvue+5/7mfuQ+4P7b/td+1z7c/uZ+7z70fve++78Cvwu/FD8Z/x1/IH8kPyg/LH8wvzV/Of89/0D/Qz9EP0Q/RH9Hf0z/U/9af18/Yv9mP2h/ab9qv2u/bH9tf2+/c/94v3v/fX9+v4C/gz+F/4m/jn+TP5d/m3+gf6W/qf+tP7E/t3++/8Z/zX/VP91/5f/t//X//cAFAAsAEQAXAB1AIwAogC7ANgA9AEOAScBQgFeAXgBkAGqAccB5AIBAh4COwJZAncClgK2AtQC8QMPAzADUQNtA4gDpQPIA+sEDAQuBFMEdgSQBKQEtwTLBNgE2gTYBNwE6QT2BP8FBgUOBRYFHQUiBScFMAU4BT8FQgVGBUsFVAVdBWcFcAV8BYwFnAWnBa8FugXMBeIF9wYMBiIGOQZOBmAGdgaSBq8GyAbfBvgHEgcpBz4HVgdwB4YHlAehB8EH1wfpB/oIDwgtCE4IbAiGCJ8ItwjLCOEI/gkgCT4JWAl4CaYJ2woQCkoKlArjCxEK/wq1ClYKAAm2CXQJRgk6CUkJWwleCVgJVwlfCWEJWAlJCUEJRAlMCVoJeQmuCe8KKApTCoMKzgszC5QLzQveC+YMAAwtDFoMfAycDMoNAA0rDTcNFwzMDGUL/AupC3ILSgsgCvIKzAq6CroKwwrICsQKtAqfCo4KfwplCjcJ+wnECaEJjwmICYoJkQmRCX8JXwlICUUJSglECScI+Qi+CH8ITQg9CE4IZghoCFYIQAgmB/YHuAeYB78IFQhPCDEHvwckBoEF5wV4BV0FlQXeBeIFiwUKBKUEcgRdBEwEPwQ9BEIEQQQvBAUDwwN7A0MDJwMUAugCnAJQAikCLQI3AigB/gHSAbABlgF8AWUBVgFOAUUBOwE4AToBOwE1ASwBJQEXAPUAxwCpAMUBMAHaAo0DCwM0AyMDGQM9A3YDiANYAwsC0gKtAnMCCAGIASIA5gDAAJwAfwBzAG8AYwBNADoANQA5AD0APwBEAEoASQBDAD8APgA7ADIAKgAuADsATQBcAGgAbwBuAGgAZwBuAHcAdQBoAFgATABDADUAJgAdAB8AJQArAC0ALQAvADEANQA3ADcAMAAlABwAGQAcAB4AGQANAAP//P/4//L/6f/k/+P/4v/b/87/vv+t/5r/g/9s/1n/Rv8r/wn+6f7W/s3+wv6s/pL+e/5p/lH+Lf4B/dT9p/16/Uz9Ivz9/Nr8s/yE/FL8H/vt+7r7h/tW+yn6//rU+qX6cPo2+fr5wfmM+Vf5IPjn+LH4gvhX+Cv3+vfE94r3TvcX9u/21/bE9qr2gvZS9iP19/XN9aP1evVT9TD1EPTx9ND0qvSD9Fv0L/P788LzkvNy82DzUPM/8zLzNPNJ823zjPOQ82TzDvKm8kryBvHR8aHxcPE+8Qvw2PCv8Jrwk/CK8HDwTPAq8BDv++/l79DvwO+x76Dvju+A73bvau9a70rvQO867zXvLu8m7yDvHe8c7x3vI+8t7zrvR+9U72DvbO9975bvt+/Y7/Dv/vAI8BrwNvBS8Gbwc/CD8Jvwt/DO8OLxAfEy8WPxdvFf8TnxLvFN8XbxhPFx8VzxYvGA8abxyfH18jDybPKX8q3yufLC8sbyzPLk8x3zcvPV9ED0uPU+9cf2Q/at9wb3R/do92/3c/eL97/4BPhO+Jb42/kf+WD5mvnE+dL5xfmu+aT5rPnD+eD6CfpE+pD65vs++5f78PxF/JD8yfzv/Qn9I/1D/Wb9f/2H/X/9bv1Y/UT9Ov1D/WD9iP22/e3+M/5+/rn+2v7i/t7+2P7V/t3+//8//47/2QAVAEgAfQC5APUBJAE8AT4BNgEyATgBSAFdAXcBlAG0AdoCBgI3AmoCmwLOAwwDWwO4BBsEfwTgBTsFjQXWBh0GZwa4BwwHWQeZB8gH7wgZCEsIhgjGCQsJVwmiCd0KAQoVCiUKOApNCmMKfwqkCsgK4wr1CwULGgs8C28LtgwKDFwMpQzoDS0Ndg2/DgwOZA7IDy0Phw/XECUQdxDJERIRUBGCEagRwRHQEdoR5BHzEgoSJhJAElISWhJdEl0SVhJEEi4SJRIzEkoSQRHxEV4QwRBrEHkQuhDZEKwQWRAnEDIQZhCfEM8Q+BEZES0ROxFDETwRIxEcEWER/BKkEu8SvRJTEhISIRJdEpISshLHEtwS7xL9EwES9xLfEsYSuBK1EqwSlhKGEpUSxhL/EyYTORNGE18TjBPNFBUUVRSAFJgUsBTSFO4U7xTTFLgUuhTQFNcUuBSKFHUUihSxFMUUvhSwFKwUsRSuFKEUkBSEFHoUbxRkFFoUTBQ4FCIUDhP9E+kT0hO8E6cTkBNzE1oTSxNEEzwTNBM5E1ITbRN1E3ATehOmE+QUDhQSE/8T9xQDFAsT8ROyE2gTGBKFEU4PWA0UC1MKqAsBC80MgAzwDTINWw1kDUwNJQz/DNEMigwuC9ILfAskCsgKcwowCfIJpglPCP8IvwiBCDsH9Qe+B5YHaAcpBuEGoAZpBjoGEQXyBdkFvQWVBWUFNAUJBOAEsQR9BE0EKAQSBAUD+QPrA98D1QPGA6sDiQNpA1ADNgMXAvQC1gK4ApMCZQI5AhgB/gHeAbUBigFnAU0BNgEgAQsA+ADkAM8AugCnAJQAfABgAEMAKgAWAAT/8f/X/7X/kv9z/1j/Pf8i/w7/Bv8G/v3+4P6t/nz+Z/53/pb+nv59/kP+E/38/fL97P3r/fn+Cf4A/dH9kP1a/Tn9Iv0L/PT84fzR/Lv8ofyK/Hf8ZPxN/Df8JfwX/Af79vvn+9f7w/us+5n7jvuK+4X7fPtz+2r7YPtV+0r7RPtA+z37Nvsr+x37EfsJ+wf7CfsN+xH7FPsT+w77B/sD+wP7BfsE+wX7CvsV+yP7MvtG+137c/uE+477l/uf+6X7pfum+6v7tPu++8X7y/vQ+9b73fvl++v77/v2/AX8Gvwu/Dv8RPxN/Fv8afx0/H38h/yX/Kr8v/zT/OP88Pz6/Qb9Ev0f/Sr9Nv1F/VT9Yf1r/Xb9g/2R/Zz9qP23/cf90/3a/d794f3l/en97/33/f39/f35/fb9+v4C/gn+Df4S/hv+KP4z/jn+OP4z/i/+L/4y/jT+NP4z/jX+O/5D/kn+Tf5R/lj+Yf5r/nX+ff6F/o/+mv6j/qj+rv64/sb+0/7Z/tr+3P7j/u3+9v75/vv+//8K/xf/IP8j/yb/MP9A/03/Vv9h/3H/gP+H/4b/hv+M/5b/ov+v/7n/vP+4/7f/wf/S/9r/1f/S/9//9gAFAAkADwAgADIAOAA0ADkATwBrAHsAfgB+AIQAiwCQAJQAnQCqALYAvgDAAMMAzQDjAP8BEgEUAQ0BCwESARsBHwEmAToBWQF5AZMBpQGxAbUBtgG8AcwB3AHgAeICAQJMAq4C9gMHAvAC3QLrAxIDOANKA0sDSQNRA2kDjgO3A9oD+QQfBE4EewSWBKMEuQTmBSEFVgWDBbcF9wY8BnkGrQbfBwcHGgchBy4HSAdeB1wHPAb1Bm8FswUqBYUHKAmtDBMNhA33DgAOKg6QDwIPXw+qD+oQFhAzEFoQmhDSENAQgA/yDzkOTw08DDILcwsSCuUKsQppCioKDQoHCgUJ/gn6CfUJ4Qm4CYAJSQkVCN4IowhrCDoICwfYB6MHdAdOByMG6AadBkwF+AWdBTMEwgReBA0DxQN0AxUCtQJhAh0B5gG9AaEBjgFzAUoBGQDwAN4A4gD1AQoBGQEhAS4BSQFuAY8BmwGLAVoBCQCeAC//1f+Z/3L/Wf9R/1r/Y/9T/yL+4/6w/o7+av4s/cr9TPzJ/Ff8BfvQ+6n7ift2+3b7hPuT+5j7lvuP+4D7ZvtP+037afuW+7770/vZ++T7/fwk/Er8Zfx0/IH8kfyl/Lj8zPzj/Pz9E/0j/S39Mv01/Tr9R/1b/XH9g/2S/aH9r/25/b79wv3G/cr9zf3T/eH99P4H/hP+G/4i/ir+NP5C/lT+Z/55/or+n/61/sj+2P7r/wX/Jf9C/13/ev+Z/7n/2P/2ABQALwBHAF0AdwCSAKwAxQDfAPwBFwEwAUcBXwF5AZMBrAHGAeIB/gIaAjcCVQJ0ApECsALQAvADDQMrA0oDawOKA6UDwAPfBAIEJARGBGYEggSZBK4EwgTRBNkE2gTeBOkE+QUFBQwFEgUbBSUFLAUyBTgFPwVFBUkFTgVTBVcFXgVmBXIFfwWOBZ8FsAW+BckF2AXtBgUGHAYwBkQGWgZuBoAGlAatBsYG3AbwBwUHHAczB0gHXgd1B4sHnAesB8wH4AfzCAYIIAg/CGEIgAibCLQIxgjTCOMI/wkjCUUJYgmBCaoJ2QoMCksKnQrwCxYK8gqVCjEJ5wm1CYgJYwlVCWMJdwl9CXgJdQl5CXoJbQlcCVYJXglpCXMJhwm2CfoKNwpdCn0KuQsbC4QLyAvgC+0MEAxIDHsMnQy6DOgNJQ1ZDWkNRQzxDH0MAwuiC2cLRQsmCv0K1wrGCs8K5Qr0CvAK3ArBCqsKlwp6Ck4KGwnyCdwJ0wnQCc8JzwnHCbIJmAmMCZQJpQmpCZQJaQkuCPMIzQjMCOMI8QjdCLcImwiKCGkIOAgiCFIItgj+COQIZAesBusGPQXGBasF6wY+Bk4F+wV1BQAEugSVBH0EcQRxBHYEbwRRBB8D3wOgA3MDYQNZAzgC8wKeAmICTAJIAjsCHAH2AdIBsAGNAXABXgFVAU4BSAFJAVMBXAFeAVkBUgFHATIBEwD4AP4BQgHKAm8C8gMoAyUDJANQA5EDqwOCAzgC+ALCAnQB/gGCASwBAgDpAMwArwCgAJkAjQB7AGsAZABhAGAAYgBpAG4AbABmAGUAZQBgAFUATgBWAGkAewCHAJAAlwCYAJQAkwCXAJsAlwCLAIAAeQBvAF8ATQBFAEkAUwBXAFUAVABYAF4AXQBVAEcAOwA0ADQAOAA+AEIARQBEAD8ANwAuACUAHwAcABcADwAC//X/6//f/83/tP+c/4v/fv9q/0//Of8v/yv/HP78/tf+u/6p/pT+cv5H/hr98P3E/Zf9bv1J/Sb8/fzN/Jn8Zvw1/AT71fuo+337U/so+vj6wfqC+kL6CPnV+aT5b/k4+QT41/iq+Hj4QPgE98r3lfdq90z3Nfcc9vf2yfaZ9mz2QfYV9er1wfWd9X31YPVB9R70+PTQ9Kj0evRC9Abz1/O686rzmvOG83jzf/Ob88Hz3PPY86jzUvLr8ovyPvIE8dTxqvF98UnxEvDl8M/wx/C88KPwf/Bf8EjwNPAe8Abv8e/d78nvuO+p75zvjO9372PvVe9O70jvQu887zjvNe817zjvQO9N71zvaO9w73nvie+n79LwAvAo8DvwO/A18DfwRvBb8G/wf/CT8K/wz/Dl8O3w+vEe8VbxgvGJ8W3xTvFH8VPxYfFm8WfxbPFw8XDxefGc8dbyE/JA8l3ydfKL8pzyr/LW8x3zefPZ9Dr0pvUn9bH2MPaY9un3IPc+90r3VPds95j31vgh+HP4wvkH+UL5d/mg+bL5pvmM+Xr5e/mK+aL5x/n++kX6kvrc+yb7dfvG/A78SPx2/KD8yfzv/Qv9G/0g/R79Gf0P/QP8/v0I/SL9R/1z/aX92/4O/jn+YP6J/rP+0/7k/vT/FP9P/5T/z//4ABgAQgB/AMkBDAE1AUABNQEjARYBEQERARgBJgE/AWIBjwHEAfoCMAJpAq8DCQNyA+EETQSvBP4FOwVsBZ4F2wYnBnoGzAcTB0kHcgecB80IBAg+CHsIvwkGCUEJZgl7CZEJsgnbCgEKIwpECmUKgwqaCq4KyArxCy0LeAvFDAYMOwxxDLQNBg1gDb8OHw5/DtgPKA94D8wQIBBqEKcQ3hETEUERXhFrEXIRfxGVEbIR0xHzEgsSGxIjEigSKxIlEhIR+RHvEf4SDBHjEWgQxBBTEEgQgRCiEHkQKQ/zD/cQHhBMEHoQqBDNEN8Q6BDxEPIQ4hDiES0RzhJ6EsMSiRIWEdIR4xIhElgSehKVEq8SxBLQEtMSyxK4EqISmBKZEpMSexJiEmMSiBLAEu0TBhMTEygTUBORE98UIRRFFFQUZhSLFLMUvxSnFIkUhRScFKoUlBRoFFAUYhSMFKsUrhSgFJUUkRSMFIAUdBRrFGIUVhRHFDoULBQbFAYT8BPbE8cTsROcE4oTdxNiE04TPhMxEyUTIhMwE0sTXRNbE1ITXhONE8oT8BPyE+MT3RPnE+sT0xOgE1wS/RJGEO4O+gzlC2wK+wtnDCEMtA0LDUMNaQ1xDVcNMg0PDOEMlww5C94LiwszCtEKdgowCfIJpwlQCP4IvgiDCD8H+gfDB5sHbgcvBuYGogZpBjgGDQXtBdQFtgWLBVUFIAT1BNAEqAR5BEkEIQQFA/ED3gPMA78DuAOuA5kDeANWAzgDHQL/AuECyAKwAo8CYQIyAg0B8QHUAa0BgQFZATkBIAELAPcA5ADRAL8AsACiAJEAegBhAEcALgAXAAb/9v/j/8f/ov9+/2L/UP9C/zP/Iv8S/wD+5f66/oz+dP6F/q/+w/6k/mH+KP4S/hT+EP4C/fj9+f3y/dL9oP1y/VT9PP0i/Qn89fzk/M38sPyU/H78bPxY/EP8L/wc/An79Pvj+9L7v/up+5b7jfuK+4b7fvtz+2f7WvtL+z77NPsx+zH7Mfsr+x/7EfsH+wT7CPsO+xT7F/sV+w77BvsB+wL7A/sB+wD7AvsH+xD7HPsu+0b7Xvty+4P7k/uh+6n7qfuo+677ufvD+8j7yvvN+9L72Pvd++H75vvt+/j8CPwY/CX8Mfw+/E38XPxo/HL8fvyO/KD8s/zG/Nj85vzx/Pz9Cv0X/SL9K/02/UP9UP1b/Wb9cv1//Yz9mf2o/bb9wv3M/dL91v3Y/dn93f3l/ez97v3s/ez98v36/f/+Av4H/g/+Gf4i/ij+LP4s/iv+Kv4p/in+KP4p/i3+NP48/kL+R/5O/lb+Yf5s/nf+f/6I/pH+mv6i/qb+qv60/sL+z/7U/tH+0P7W/uP+7/7z/vb+/f8K/xb/G/8e/yr/P/9V/2D/Y/9r/33/kP+Z/5f/k/+U/5r/o/+v/73/xf/E/8D/w//P/9j/2v/c/+f/9v/+//8ABgAbADEAOQA1ADcASQBhAHMAfgCKAJgApQCtALAAswC5AMIAzADSANQA1QDeAPIBBgEOAQ4BEgEgATABNQEyATkBUwF6AZsBrQG1AbwBxwHYAegB7gHpAeoCDAJaArwDAwMSAvkC5ALzAx4DQwNNA0IDOAM+A1gDfwOqA9MD+wQmBFUEfwSbBKwEwQTnBRsFVQWSBdMGFQZOBngGmwa/Bt4G8Ab9BxcHQwdtB3sHWgb7BlUFigUSBYoHLwmKC7MNDA2mDgMOeQ75D1APfA+oD+4QQhCJELkQ1BDJEIUQCw9wDsUOAg0jDD8LgAsCCr0Klgp6CmEKSgozCh8KEQoGCfUJ1AmkCW8JOQkCCMwImghwCEkIGwfiB6kHdwdPByYG8AatBmIGEAW1BU0E4gSEBDYD6wOTAysCwgJoAiAB6AHAAagBmgGGAWQBNgEOAP0BCwEwAVcBcAF2AXUBeQGCAYsBkgGXAYsBVADoAGL/8/+4/6f/o/+b/43/dv9J/wX+uP54/kr+G/3R/WT84Pxg+/37v/uf+4z7f/t8+4f7mfun+6n7pPuY+4P7ZvtR+1P7cvud+777yfvH+8z74vwI/C/8Tfxi/HT8iPyc/K78w/ze/QD9Hv01/UX9T/1Y/WL9bv1//ZH9ov2y/cP90/3d/eH95P3p/e397f3v/fn+Cv4d/iv+Nf4+/kf+Uf5f/nH+hf6Z/q3+xf7e/vT/B/8c/zf/Vv91/5L/sP/P/+0ACAAiAD0AWABvAIUAnAC1AM8A6QEEAR8BOgFQAWYBfAGUAa4BygHnAgQCIAI7AlgCdwKVArECzALrAwsDKANEA2EDgQOjA8ED2wP2BBUEOARaBHgEkwSqBMEE1ATfBOIE4wTrBPkFBgUOBRMFGwUnBTIFOwVCBUkFTgVSBVYFXQVkBWkFbQV2BYQFkwWiBbEFwgXTBeUF+AYNBiQGOAZKBl4GdAaIBpkGqga+BtUG6Ab4BwkHHQcyB0YHWQduB4YHnwe2B9IH6Af9CBQILwhMCGoIhwikCLwIzAjXCOgJBwkxCVoJfQmeCcUJ7wocClgKqgr6CxgK4QprCfYJswmdCZIJggl5CYIJlAmcCZQJiwmICYcJfglyCW4JdgmBCYoJmgnECgMKPgpiCn4KtwsYC4ILyQvkC/QMHgxgDJsMvgzYDQMNQQ15DYwNaQ0RDJUMEQumC2ULRQspCwIK3QrQCuELAgsZCxYLAArkCsoKsQqPCmIKNgobChMKFAoRCggJ+gnpCdYJxwnHCdgJ7Qn0CeUJxAmWCWoJUQlVCWgJawlQCSoJGAkZCREI+AjwCSAJdQmlCXII3AgWB1EGqAY4BiAGWwapBroGawXiBV4FAgTKBKsEoASkBKcElwRwBDoD/APCA5wDkgOXA4gDTwL2AqICbgJYAkoCNgIYAfQBygGgAX8BbAFjAV8BXgFlAXQBhgGPAYwBgQFxAWEBUQFFAUkBcwHRAlICyAMMAyEDNANkA5wDrwOHA0EC/wLAAmsB/AGSAU0BLAEVAPkA3wDQAMYAuACkAJIAiACBAH4AgACIAI8AjgCLAIgAhQB8AHIAcgCCAJgAqACuALIAuQC9AL4AvgDAAMEAvQC2AK8AqACdAIwAfQB4AH0AgwCBAHoAeAB+AIIAfQBsAFoAUgBVAFoAXABcAGIAbwB7AHwAcwBnAF8AWQBRAEMAMwAnACAAGgAO//n/3//J/8D/v/++/7b/rf+j/5T/dP9H/xz/AP7v/tj+tf6L/mL+O/4R/eX9vP2Y/XL9Rv0U/OP8svyC/FP8JPv5+8/7o/t1+0H7B/rF+oP6SfoZ+ev5uvmG+Vb5Kfj4+L74gPhD+A734/fC96j3jvds9z73Dfbd9rH2hvZa9jH2DfXs9c71rvWN9Wr1Q/Ub9PD0vfSD9Er0H/QG8/Tz3vPI877zzPPt9A/0H/QO89jzhfMk8sXydfI18gXx3/G48YfxT/Ef8QTw+fDr8M/wrPCO8HnwZvBQ8DfwH/AL7/nv6O/Y78bvsO+X74Dvb+9l71/vWu9W71PvUe9T71vvaO9374Pvi++Q75nvtO/n8CrwaPCL8I3wdvBc8E/wVPBl8HjwhvCX8LLw1fDz8P/xBPEW8T7xbfGJ8YjxdfFm8WLxaPFz8X3xgPFz8VzxUfFj8Y/xv/Hm8gryMvJY8nTyj/K88wnzaPPG9B/0hPUA9Yz2D/Z59sT29vcU9yn3PPdU93j3rff5+FP4p/jo+Rv5S/l5+Zb5lvmD+XP5c/mA+Zb5ufnx+jn6gfrC+wH7QvuE+7v75fwM/Dj8aPyP/KT8qfyn/Kf8qfyt/LX8w/zZ/Pb9F/09/Wf9jf2p/cH95f4h/m3+tv7u/xv/Tv+M/8j/8AAEABUAOgB9ANMBIgFRAVgBQQEZAO4AxwCqAJ4ApQC+AOMBEwFNAY0B0QIcAnQC2gNGA68EDwRhBKQE2AUFBTYFbwW0BgAGTgaXBtIHAQcvB2MHnQfUCAkIQgiACLoI4gj8CRsJSAl+CawJzAnjCf4KHQo8ClwKgQqzCvULPQt/C7EL2gwJDE0Mpg0MDXcN2w41DoMO0A8jD3wPzhALEDgQYhCSEL0Q2RDkEO0RAhEkEU8RfBGnEcwR5BHrEe0R8xH7EfMR1xG6EbwR1BHFEVoQqxAWD+wQGxBKEDkP/A/RD9IP7BAIECcQTxB0EIUQjBCXEKIQohCqEOwRdBIEEkASERG7EZMRrxHoEhcSOhJdEn8SkxKYEpcSlBKIEngScRJ1EnUSYxJHEj0SUhJ+EqkSxhLcEvgTKBNsE7cT7xQHFA0UHhRGFHMUhhR1FFgUURRjFHUUbRRPFDgUQBRhFIAUjBSGFH0UeBR0FG0UZBRaFE4UPRQoFBUUBhP4E+kT1hPCE6wTlhOAE2sTWRNJEzkTKBMVEwgTCxMjE0ETThNDEzcTSRN8E7YT1hPUE8UTvxPGE8YTrxN8Ey0SrhHMEFwOewyqC4cLWwvfDIcM8g0kDUgNbA15DWANNQ0KDNoMlAw8C+QLkws9CtsKfQoxCfEJqQlWCQYIxAiHCEYIBQfQB6QHcwcyBusGqQZvBjoGDQXqBdAFsAWCBUoFFQTrBMcEoQR1BEYEHgP/A+QDygOxA6ADmQOTA4QDZwNGAygDDALuAtACtgKgAoMCWgIrAgEB4AHBAZ0BdQFPAS8BEwD7AOIAywC3AKkAngCSAIEAbQBWAEAAKAAR////8v/m/9H/r/+I/2r/Xf9d/1r/SP8r/wv+7f7L/qL+hf6J/qf+uP6c/mD+NP42/lD+Vf43/g398/3m/dL9sP2L/W79Vf05/Rv9BPzz/OD8xvyp/I/8efxj/E38N/wi/Az79vvi+9H7v/uq+5f7jPuH+4L7ePtr+177UvtH+zv7L/sm+yH7H/sc+xX7DPsG+wf7DPsQ+xL7EfsN+wf7AvsA+wL7A/sD+wH7APsC+wX7Dfsc+y77QPtP+1/7dfuK+5f7nPuh+6v7uPvC+8T7xfvJ+8/71PvY+9z74/vs+/b8AfwN/Bn8Jvw0/ET8Uvxf/Gr8d/yG/JT8o/y1/Mf81/zk/PL9Af0Q/Rv9Iv0o/TL9P/1M/Vb9X/1r/Xn9if2Y/ab9s/2//cn9zf3K/cf9yv3S/dr93f3f/eP96v3v/fL99P36/gL+C/4S/hj+H/4k/ib+Jf4k/iP+I/4l/ir+L/40/jn+Pf5E/k7+Wv5n/nL+fP6D/or+kf6Y/p7+o/6t/rr+xv7L/sn+yP7Q/t3+6P7t/vP/AP8Q/xr/G/8e/y//Tf9k/2j/YP9f/27/g/+N/4z/iP+L/5D/lv+g/6//v//G/8X/xv/Q/9//7P/3AAEACAAGAAEABgAZADAAPAA9AD4ARgBUAGAAbQB+AJEAogCtALIAswCzALkAxQDUANsA2ADWAN4A7wD9AQcBGAE4AVsBawFmAV8BbQGPAbIByQHVAeQB+wIWAiwCOAI+AkcCYAKOAsEC4wLlAtYC0wLuAxoDOwNDAzwDNwNAA1YDdQOgA9EEAwQvBFcEfQSgBL4E2AT4BSMFWwWdBd8GFwY/BlkGcAaMBqgGvgbTBvYHKQdeB3wHZQb9Bj8FaQUGBacHYgmlC5sM0A1yDfcOmA8wD4gPpw/HEA8QchDHEOwQ1RCFEAsPgA71DmgNxw0MDEULkQsKCrkKlAqFCnIKUgouChgKEQoJCfAJxAmSCWEJLQj0CL4IlAh0CFEIIgfnB6sHdAdFBxgG6Qa0BnQGKAXNBWYE/wSjBFMEBAOqA0MC2wJ+AjEB9AHIAa0BnQGLAW8BSwEuAScBPQFqAZoBuAG9AbIBoQGRAYQBhQGXAaEBeQEIAHH/9//E/8z/2//N/5//W/8N/rv+cv45/gn9y/1v/Pb8dfwH+8D7oPuX+5b7mPug+7D7wPvI+8X7uvun+437cPtf+2j7hvuo+7v7uvux+7D7wvvl/A78MfxO/Gf8fvyU/Kf8vvze/QT9KP1D/Vf9Z/12/YL9j/2f/bP9xv3a/ez9+/4F/gn+DP4P/hH+Ev4V/h3+K/45/kX+T/5a/mb+cv6A/pP+qf7B/tn+8/8O/yb/O/9Q/2j/hf+k/8T/5gAGACMAOgBQAGkAhACdALEAxQDbAPIBCwEmAUEBWwFxAYYBmwGzAc4B6wILAikCRAJfAnwCmwK4AtIC6gMGAyYDQwNdA3cDlgO4A9gD8gQLBCcESQRrBIoEpQS+BNYE6QTxBPEE8gT8BQoFFAUYBRwFJgU0BT8FRwVOBVUFWgVdBWIFawV0BXsFgQWLBZsFqwW4BcUF1QXoBfwGDwYiBjUGRgZXBmwGgwaXBqcGtgbLBuIG9gcEBxEHIwc3B0gHVwdpB4IHnwe6B9UH6wgECB4IOAhQCGgIhAiiCL0I0gjjCPwJIwlRCXsJoAnGCfQKIQpJCnoKwQsNCyoK7ApkCdgJiQl9CY0JlQmUCZoJqAmuCaUJlgmOCY4JjgmJCYYJiQmSCZwJrwnWCg4KQwpoCooKyAspC48L0gvpC/gMIwxpDKsM0QzoDQoNPw11DYwNcQ0gDKgMJgu7C3gLVQs2Cw8K7ArkCvwLIQs2CzELHAsFCvEK1wqvCn0KUQo8Cj8KSApECjAKFAn7CesJ6AnzCgcKGQogChgKCAnyCdkJxwnGCc4JzAm3CZwJlAmhCa4JswnFCfgKMwo4Cd4JNwh2B8YHNQbSBrIG1gcQBxoG0QZLBb0FTQUGBOIE2ATbBNUEuwSPBFgEHgPmA8EDvgPRA9QDpQNHAt4CjwJmAlQCRwIxAg4B4QG0AZMBggF9AX4BgwGOAaABswG/Ab8BsgGeAYwBhAGJAZcBtAHqAj0CmwLpAyADTAN6A5wDlwNnAyQC6AKxAm0CGAHIAY8BawFMAS0BFQEGAPkA5QDNALsAsACoAKIAoQClAKsArACqAKUAnwCXAJIAmwCwAMUA0ADSANQA2wDjAOYA5QDkAOQA4gDgANwA1QDJALwAtACzALYAswCoAJ0AmgCeAKAAlwCHAHsAfQCIAI0AhwCAAIgAoAC3AL0AtACpAKIAmQCHAG8AXwBaAFoAUwBCACwAGQAPABAAFwAeAB0AEv/8/9n/qv96/1f/Q/80/xr+9f7N/qf+gv5Z/i/+B/3i/br9i/1a/Sz9APzR/KH8dPxL/CH78fu7+4P7R/sH+sf6j/pf+jP6BfnU+aX5dPk/+QH4wviJ+Fr4Nvga+AH34fe494b3Uvci9vT2x/ac9nj2WvY99hz1+fXU9bD1ivVh9TL0+/TB9I/0a/RT9Dr0HvQH9Ab0HfQ/9Ff0VvQ28/rzqvNQ8vnyq/Jq8jryFvHy8cTxi/FW8TTxIfEQ8PXw1fC48KLwj/B48F/wSPA08CLwEu//7+vv1e+976XvkO+B73rveO9373Tvce9z73/vke+h76zvr++y77/v5PAm8HXwtfDO8L3wlfBu8FvwXfBt8IDwjvCb8LDw0fD18Q7xGPEf8TDxTfFq8X7xh/GI8YXxg/GG8YvxivF48VzxSPFL8WDxe/GX8b/x8/Io8k7ybPKZ8uLzPvOZ8+70T/TJ9VX12/ZG9pD2wvbn9wf3I/c791j3ivfY+DX4iPjB+Ov5GflO+Xr5i/mH+YD5gPmH+ZP5r/nk+i76fPrC+wH7PPtw+5T7qvvA++D8B/wn/Db8N/wz/DD8M/xB/F38hfyw/NX89P0T/TX9Uv1h/Wj9fv2z/gf+Z/7D/xn/bf+7//UAFQAiADUAYgCwAQ0BWwGCAXwBVgEeANwAmwBoAFEAWQB1AJwAygEEAU0BowIBAmcC0AMxA4MDxQP9BDEEZwSfBNwFGgVZBZcF2QYcBloGkAbGBwMHRQeEB7gH6AgaCEsIcgiQCLMI5QkeCU4Jagl9CZQJtwnjChMKRgp+CroK9wstC10LiwvCDAkMYQzFDSsNig3eDiwOfQ7XDzAPdw+iD7wP2A/+ECQQPhBMEFwQexCrEOQRHxFbEY8RsBG4EbMRthHGEcsRtBGSEY0RqBGoEUUQhQ/ND4EPpA/eD+QPvg+iD6kPwA/QD+AP/hAiEDcQPhBFEFAQVRBeEI0Q6xFREYIRdBFWEVwRiBG5EdoR+RIfEkMSVRJaEl4SZBJhElISRhJGEkkSPhIoEhkSIxJCEmYShhKjEswTChNXE54TyBPTE9QT5hQPFDoUTxRHFDQULhQ4FEgUShQ7FCoUKRQ9FFkUaRRpFGEUXBRZFFMUSBQ7FC0UHRQIE/IT4hPZE88TwROtE5cTgRNpE1ATOBMmExoTDRL7Eu4S9BMSEzUTQhM3Ey0TQxN5E68TxRO5E6UTnhOkE6MThhNGEtwSNBEnD6IN1gxEC3YLkwxADOYNMQ06DUQNYw12DWANLAz3DMgMjQw+C+ULjgs3CtsKgAoxCe0JpwlaCQwIwgh+CD0IAwfUB6gHcwc0BvEGswZ6BkMGEQXrBcwFqQV8BUcFFwTtBMcEngRxBEQEGwP5A9oDuwOfA4wDggN7A20DVAM3AxwDAgLkAsICpAKLAnACTgIjAfcBzwGsAYkBZQFEASUBCQDsAM8AtAChAJUAjACAAG4AWQBEADAAGgAD//D/4//Z/8r/r/+L/2z/YP9m/23/Y/9C/xv+/f7i/sH+nP6J/o3+kP52/kj+NP5V/o/+pf5//jz+CP3y/eL9xv2k/Yb9b/1U/Tb9Gv0H/Pb84fzG/Kn8jfxy/Fj8Qfwr/BT7/fvo+9f7xfuy+577kPuH+377cvtk+1b7S/tE+zz7Mvsl+xf7DPsE+v76+fr3+vv7AvsH+wf7BPsB+v/6/vr++v/7APsA+wD7APsA+wL7CPsT+x/7J/st+zn7Tvtm+3f7gvuM+5v7q/u1+7f7uvvB+8j7zfvQ+9b74Pvt+/n8BPwN/Bb8Ifwu/Dv8SfxX/GT8cfx9/If8kvyh/LP8xfzT/OH88f0C/Q79FP0Y/SD9Lf05/UL9Sv1U/WX9d/2H/ZT9of2w/bz9v/26/bX9uf3D/cz90f3T/dj93v3i/eP95f3t/ff+AP4F/gv+Ev4Y/hr+Gv4c/h/+Iv4l/ij+LP4v/jH+NP45/kL+TP5Z/mb+cv56/oD+hv6O/pb+n/6o/rP+vv7G/sn+zv7Y/uP+6v7v/vj/C/8g/yj/JP8i/zL/T/9k/2H/UP9I/1L/Y/9s/2z/bv93/4H/h/+N/5v/rv+8/8L/xf/P/+D/8gABAAwADwALAAUABwAWACoAOQBAAEQASQBQAFcAYQBuAHwAiACSAJsAnwCfAKEArQC/AM4A0ADOANMA4gDyAQABGAFCAXIBjwGQAYUBhwGdAboB0QHjAfkCFAIwAkcCXQJ0AosCngKoAqsCqQKlAqkCvgLjAw4DLwNGA1YDYwNrA24DewOeA9UEDwQ5BFYEdgSiBNIE+gUaBT0FbQWmBdwGBQYfBjQGTgZuBo8GrgbNBu8HFAc9B14HVwb4BjUFWwUNBdYHrQnnC7cMyQ1gDe8OoA9JD7YP6BALEEYQlxDcEOwQsRA3D6YPHw6nDiUNhgzRDCILjQsaCsoKmgp9Cl4KNQoRCgUKCgoGCeYJtAmBCVUJJgjwCL4Ilwh4CFIIIAfoB68HdAc4Bv8G0QaoBngGNwXhBX8FGgS7BGUEEgO7A10C/AKfAkwCCQHcAcABrwGcAYUBbQFeAWIBfAGnAdMB7QHsAdYBuAGZAYIBgAGSAZsBbQD0AFj/5P/E/+D/+f/h/5X/L/7K/nX+Mv3+/cb9d/0L/I/8HvvP+6j7o/ut+7f7v/vI+9X74vvn++P71vvA+6P7h/t5+4P7nPuy+7r7svum+6T7s/vU+/38I/xE/GD8fPyW/K78yvzt/Rb9PP1a/XH9hv2Y/af9tP3E/dn97f4A/hD+Hv4p/jD+M/4z/jT+N/49/kj+Vf5f/mb+b/58/oz+mv6p/rz+1f7v/wj/If86/1H/Zv95/5D/q//J/+oADAAsAEcAXQBzAIsApgC/ANUA6AD+ARUBLgFIAWMBfAGTAagBvwHWAfACDAIsAkoCZgKAApsCugLXAvADCAMjA0MDYQN7A5MDrwPPA+4ECQQgBDwEXQSABJ4EtgTOBOYE+QUBBQAFAgUMBRoFIwUoBS0FOAVEBU0FUQVVBVwFYgVmBWsFdQWABYoFkwWgBbEFwgXOBdoF6gX9Bg8GHwYvBkAGUQZiBncGjQahBrEGwQbYBvIHBwcTBx8HMAdFB1YHYgdwB4YHoQe9B9oH8wgPCCoIQghWCGsIhQijCMII3Qj6CR4JSgl1CZkJuwnnCiAKWQqBCqMK1AsRCy8K/Ap3CeEJgglxCYsJowmpCasJswm3Ca4JnAmSCZUJnAmeCZoJmgmfCasJwQnmChgKSgpyCp4K4wtEC6YL4gv1C/0MIAxgDKEMyAzcDPUNIw1YDXgNaQ0iDLEMNgvUC5gLdgtVCzALFAsVCzALTgtYC0sLNgslCxkLAQrVCpsKawpZCmMKcQpsCk4KJwoKCgIKDAofCjQKQApDCkIKQgpACjcKKAocChsKHQoXCgoKAwoLCh8KPwpvCqoKzAqpCjIJiAjbCEkH0Ad0B0YHTQdtB20HKgaqBhcFmQVIBSIFGQUWBQME3wSxBH4ERgQPA+wD7wQNBBcD5gN8AwACoAJsAlcCTQI8Ah0B9AHKAasBngGfAagBtQHEAdQB5AHwAfQB6wHWAcEBuwHLAeMB+AIOAjYCeALNAx8DYQOKA5IDdAM8AwAC0QKtAoICSwIQAdwBsAGJAWcBTwE+ASoBEQD4AOcA3QDUAMoAwwDCAMMAxADCAL8AvAC5AL0AyQDbAOoA8QD1APwBBgEOAREBEAENAQsBCgEKAQYA/QDxAOgA5gDoAOUA2wDNAMEAvQC+ALwAtQCpAKUArQC7AMAAuACyAMAA4AD8AQIA+ADvAOoA3QDBAKUAmQCdAKAAlAB/AHMAdgB/AIMAfQBwAFwAQQAc/+//wf+d/4n/gP9y/1f/Mf8L/un+xf6d/nT+T/4q/gD9z/2g/XX9S/0c/Oz8wPyY/G/8PPwB+8X7ivtQ+xb63/qu+oD6Uvoi+fD5vPmE+Uf5Dfjb+LL4kvh2+Fj4MvgC9833mfdn9zf3Cfbg9sD2pfaI9mP2O/YU9fD1y/Wg9W71NvUB9Nf0ufSe9H70XfRL9FL0bPSI9JL0hPRa9Brzy/N28yfy4PKl8nbyUfIs8f3xwvGJ8V/xRvE08Rzw//Dk8M3wufCj8IvwcvBb8EjwNfAi8A7v++/n78/vte+g75fvme+e75zvlu+V76Dvsu/D78zv0O/U7+TwCfBH8I3wwfDO8LbwjvBv8GPwZvB08IbwmPCn8Lnw0vDz8RLxJfEt8TDxOPFI8WHxevGL8ZDxjPGK8YzxivF98WbxUfFH8UfxTPFa8Xzxs/Ht8hryPfJs8rLzCvNh87X0FPSJ9RH1k/X99kj2gPax9t33Avcc9zr3bve/+Br4ZfiV+Lv47fkr+WH5ffmD+YP5gvl9+Xf5gfmq+fH6RvqY+uH7IftU+3T7hfuR+6H7t/vJ+9X72/vc+9v72vvo/A38SPyE/LH8zvzn/QT9H/0s/Sv9MP1R/ZX98/5i/tb/Rf+h/93//wAXADsAewDWATgBggGgAZMBaQEwAO4AqwB4AGYAdQCVALgA3gETAV0BtwIYAnkC1AMeA1MDeAOaA8MD+gQ7BIMEyQUEBTgFbAWnBeUGIQZdBqEG7Qc2B3AHmwfAB+UICQgrCFEIgwi5COcJBQkaCTUJXwmXCdYKEwpJCnkKpQrVCwwLTAuRC90MLgyEDNsNLw2ADdQOMA6ODt8PFA8tDzkPSw9pD4sPpg+6D9MP+xA0EHcQvxEHEUgRdBGCEX4RgRGVEaQRlRF1EWoRghGCER8QVw+NDy4PSA+FD5QPeA9lD3UPkA+bD58PtA/ZD/YP/Q/6D/oP/hALEC8QbBCvENgQ6RD9ESkRXhGEEZ0RuhHhEgMSExIcEioSPBI/Ei8SGxITEhASBhHzEegR8hISEjYSVBJuEpgS3RM0E38TpROpE6cTuhPgFAQUFhQYFBUUFBQYFB0UIBQcFBIUEBQfFDkUTBRLFEAUNxQ1FDAUJBQUFAgT/RPtE9gTyBO+E7YTpxOQE3kTZhNREzUTGBMDEvoS9BLoEtoS3hL8EyQTOBMxEyoTQRN4E6wTvBOlE4gTfhOFE4ETWRMGEoERtxCIDuwNJQu4CykLiwxsDScNZw1RDT0NUA1lDVINGQzfDLUMiQxDC+ULgwspCtUKgwozCeoJowlZCQsIuQhqCCcH9QfOB6YHcwc3BvkGwAaIBlAGGwXvBckFowV4BUwFIQT5BM4EoQRzBEUEGgPyA9ADsgOYA4MDdANnA1UDPwMnAxEC+QLbArYCkgJ2Al0CPgIWAesBwQGcAXgBVQE2ARoA/gDfAMAApACRAIYAfABuAFoARQAyAB8AC//1/+H/0f/E/7f/pP+J/23/Xf9e/2f/Yf9F/yH/Cf77/ub+w/6g/o/+g/5m/j7+Nf5m/rT+3/7A/nT+M/4V/gb97P3H/ab9jv14/Vv9PP0j/RH8//zn/Mn8qPyJ/Gz8U/w6/CH8Cfv0++H7z/u8+6j7l/uL+4H7dvto+1j7SvtB+zv7M/sl+xT7A/r2+u365frh+uP66vry+vb69vr2+vf6+Pr3+vb69vr3+vv6/fr/+wH7CPsR+xn7HPsd+yX7NvtK+1v7Z/t0+4b7lvuh+6b7q/uz+7v7wPvD+8v72Pvm+/T7//wI/BH8Gfwj/C/8PvxO/F38avx0/Hr8gvyO/J/8sPy+/Mv82fzp/Pb8/v0D/Qz9GP0j/Sz9M/0+/VD9ZP1z/X39if2Z/ab9qv2l/aL9qf23/cP9xv3H/cr90P3U/dX92f3h/ez99P36/gH+CP4N/g/+D/4T/hj+HP4d/h/+JP4p/i3+L/4y/jj+QP5K/lf+Zf5z/nz+g/6M/pX+n/6o/rH+uf7C/sz+2f7n/vH+8/70/v//Fv8s/zP/K/8k/y//Rv9X/1P/Q/86/0H/T/9V/1b/W/9q/3n/gf+F/47/nv+v/7j/vf/E/9D/3v/q//T/+v/9//4AAgANAB4ALwA8AEYATQBVAF4AaABvAHIAdAB7AIcAkgCVAJUAnACrALwAxgDMANgA6gD5AQQBFAE1AV8BfwGIAYMBggGMAZ4BrgHAAdYB7gIBAg8CIwJDAmgCgQKFAn0CeAKDAp4CwALkAwgDMANgA5IDswO1A6ADkgOoA+AEHQREBFcEcQSiBOEFFwU7BVoFgAWtBdUF8gYLBioGUgZ8BqYG0Ab1Bw4HGQckBzkHOAbhBhwFQgUIBfUH5QoZC80Myg1iDfsOsw9kD+IQKhBWEIIQuRDqEO4QqRAlD5MPGg6sDhwNXAyPC+kLdwsjCtcKlAphCjkKFAn6CfUJ/An2CdQJoQlxCUkJIAjyCMcIogh8CEwIGAfnB7UHdwctBuYGsgaRBm8GOwXwBZYFNATSBHYEIQPPA3oDHgLAAmoCKAH/AegB1gHDAbABoQGeAagBwQHlAgcCFwIMAesBwwGeAYUBgQGMAYYBSADJADj/2v/Q//UACP/d/3z/Cv6g/kr+A/3B/XX9GPys/EH77Pu7+6/7vPvP+9z74Pvk++37+PwA/AD79fvh+8b7rfuh+6X7s/vA+8P7vvu3+7b7wvvf/Ab8K/xJ/GT8gfyf/L383Pz//Sf9T/1y/Y79pv27/cv92f3p/fz+Dv4d/iv+O/5M/lj+Xf5c/lr+Xf5n/nX+gv6K/o/+mP6n/rj+yf7Z/u3/Bf8d/zL/Rv9a/2//hf+b/7P/zv/sAAoAKQBHAGIAegCSAKoAwwDaAPEBBwEfATkBUwFsAYYBngG2Ac0B5AH8AhQCLQJKAmgChAKeArkC1gLzAw0DJQNAA18DfgOZA7EDygPnBAQEHgQ3BFUEeASbBLcEzQTiBPcFCQUQBQ4FDgUXBSYFMgU4BT8FSAVSBVcFWQVdBWQFawVwBXUFfgWKBZcFowWyBcIF0QXfBe0F/wYQBiAGLgY+BlAGYgZzBoUGmgatBr4G0AbnBwAHEwcfBysHPgdVB2gHdAd/B5IHqgfCB+cIAwggCDwIUghmCHsIkwiuCMoI6gkPCTwJbAmVCbQJ0Qn8CjkKdgqcCqoKuQrYCu0KywpkCeUJjgl/CZwJuQnBCb8Jvwm/CbUJowmZCZ0JqAmuCa0JqwmwCbsJ0Qn0CiMKVQqCCrQK+wtbC7wL+wwODBAMIwxRDIcMrQzDDN0NDA1JDXMNaw0jDK4MNgvfC7ILmguBC2ULVwtiC3sLiwuFC20LVQtHCzoLIQryCrcKhwp4CoYKlwqPCmoKPQokCikKRAphCnUKfAp7CnwKgwqLCogKeQppCmYKcgp8CnoKbAplCnIKnQrcCxcLKArxCnYJ2wlHCMoIXAf/B8QHtgfDB7sHewb+BmcF4QWKBWUFXAVRBTQFCQTcBK8EeQRCBCIELQRPBFIEDwOPAwUCoAJtAlkCTgI+AiYCBQHjAckBwQHHAdgB7QIAAg8CGgIkAi0CKwIaAgMB+gIIAiACLQIsAjcCZwK8AxsDZAOGA4EDXQMqAvsC2wLFAqwChgJSAhsB6QHBAaQBjAF1AVoBPwEoARgBDAD/APIA6ADkAOMA4ADdANsA2wDhAOsA9wECAQkBEAEbASoBNwFAAUUBRgFEAUEBPwE9ATgBLAEdARMBDwEOAQcA+wDvAOgA5ADiAOAA2wDWANQA2wDoAPEA9AD5AQ0BLQFFAUgBPwE4ATQBJQEIAO4A5gDsAOoA2ADKANMA8AEEAPoA0gCgAHEASgAlAAP/5P/P/8P/uf+o/4v/af9H/yf/BP7e/rj+lv5z/kj+GP3o/b79lP1l/TP9B/zh/Lf8g/xH/Av71Pug+2v7NvsC+tD6nvpt+jn6A/nL+ZP5YPk1+RH48fjR+Kv4ffhH+A/32/er93z3Ufcs9w327vbL9qL2d/ZQ9iz2BvXb9aj1c/VE9SD1BfTm9ML0ovSU9Jz0sPS/9L/0rvSH9Efz8/Ob80/zEfLf8rTyjfJk8jLx9vG78Y7xdPFh8UvxLvER8Pvw6fDX8L7wo/CI8HHwXfBJ8DbwJPAR7/nv3e/D77nvv+/J78vvw+++78Tv0u/g7+nv8O/48AjwJPBO8Hrwl/Cc8I3wfPB08HXwePB+8IrwnvC18Mrw3vD18Q7xJfEz8TfxNvE58UbxWfFs8XbxevF+8YbxivGD8XHxXfFN8T/xM/Ey8UfxcfGk8dLx/fIy8nzy0vMo83vz1/RG9MT1P/Wl9fP2NfZ09q723Pb99yP3Xvew+AL4QPhr+Jf41PkY+Uz5ZPlq+Wv5aflc+Uj5QPlY+ZP54/o3+ob6zfsJ+zb7Vfto+3X7fPuC+4z7nPuq+637qPus+8z8CPxK/Hv8l/yt/Mf84fzv/PD87vz9/Sr9d/3i/lv+zf8k/1z/gf+o/+MANwCeAQYBVQF7AXkBXQE1AQcA2gC7ALkA0wD2ARMBLwFZAZYB3wIrAnMCswLoAw0DKQNGA2wDngPdBCUEbwSvBOIFEgVJBYcFxAYABkMGkAbfBx4HRgdiB4AHpAfPB/0IMAhiCI4IrwjKCOkJFwlVCZwJ3QoQCjUKWAqJCssLGQtoC7QL/gxGDI0M1A0iDX0N4Q4+DoIOpg60Dr4Ozw7pDwcPIw89D1wPiA/EEA4QXRCsEPMRJxFBEUkRVRFvEYQRexFaEUgRUBFDENkQEQ9LDvAPDQ9ND10PPw8qDzwPWA9eD1YPYg+JD7APuw+wD6YPsQ/UEAYQOhBiEHoQkRC4EO0RHRE+EVkRfRGnEcUR0xHeEfMSCRIOEgAR7BHgEdURwxGsEaQRuBHjEhISLxI9ElQSkBLsE0MTchN6E3oTixOrE8gT1xPgE+oT8RPxE+8T8BPwE+wT6xP6FBUUKRQnFBkUEBQSFBIUCBP4E+wT5BPWE8ETrhOjE5gThBNoE1ATQRMyExoS+xLkEt4S3RLTEsQSwhLeEwoTJRMjExoTMBNqE6QTtBOXE3ITZRNrE2ETKxLFEi8RVhATDmEMjgsuCsQLWgxtDUgNjg1nDTkNOQ1LDToNAgzIDKIMgAxDC+MLeQsdCtAKhwo5CeoJnwlWCQcIsghfCBoH6gfGB6EHcQc5Bv8GyQaTBlsGJQXzBcUFmwVzBVAFLAUDBNYEpgR4BEsEHQPwA8oDrQOWA4ADaQNTAz0DKQMXAwUC7wLPAqkChAJmAkoCKwIFAdwBtgGRAWwBSAEnAQsA8QDVALUAlwCBAHMAaABYAEUAMgAfAA3/+//p/9j/xv+0/6T/mP+J/3T/YP9W/1X/Tv82/xj/B/8F/v/+5/7G/q/+nf58/k3+Of5i/rX+8f7l/qH+Xv49/jL+Hv35/dL9t/2g/YP9YP1C/S79Hv0I/Ov8yvyp/Iv8bfxP/DL8GPwC++772/vG+7L7oPuS+4j7f/tz+2L7UPtA+zX7Lfsi+xP7A/r1+un63vrV+tL61vre+uP65/rp+ur66/rp+uf66fru+vT6+Pr7+v77BPsN+xb7HPsh+yr7NvtD+037Vvtj+3P7g/uO+5X7nPuk+6r7r/u1+7/7zPvY++P77fv4/AL8CvwT/B/8MPxD/FT8Y/xs/HH8dfx+/I38nfyr/Lb8wfzP/Nz85vzv/Pn9BP0P/Rf9Hv0p/Tv9TP1Z/WH9a/15/Yj9jv2M/Yz9lv2n/bX9uf24/bn9v/3F/cj9zf3V/d795v3t/fb9//4G/gn+DP4P/hH+EP4M/g3+FP4d/iT+Kf4u/jX+O/5B/kv+Wv5t/nz+h/6P/pf+oP6p/q/+tP67/sf+2f7q/vP+8v7w/vr/EP8l/yv/I/8c/yL/Nf9D/0T/O/84/0D/S/9Q/1H/WP9n/3f/gP+C/4f/k/+i/6z/sP+0/7r/wf/J/9P/3//r//X//AAGABYAKQA7AEgAUgBcAGkAdAB4AHQAcAB1AIUAlQCdAJ8AogCsALkAxgDUAOcA+wELAREBFwElATsBUgFgAWYBbAFzAXoBgQGOAaMBtwHCAcYB0QHuAhcCPQJSAl4CcAKPArYC1wLvAwgDMwN2A8AD8QPyA88DsAO5A+wEKQRQBGEEeASpBOoFIwVIBWQFhQWrBc4F6wYNBj0GcwalBtEG/QcmBzkHMQckByYHGQa2BeIFCQTrBgIICgozC88MxQ1xDiQO4g+GD/0QTBCDEK4Q2REAEQQQwRBCD7wPVw71DlUNaQxvC7gLUwsRCsYKcwo1ChEJ+wnqCeIJ4AnWCbkJjwllCT8JGgjzCM0IpQh2CD0ICQffB7QHdgclBtcGogaDBmYGOgX6BasFUQTxBJIEPAPqA5UDNwLZAocCTQIrAhYCAgHtAdwB1gHbAeoCAgIhAjsCQwIvAgcB2AGvAZQBiQGFAWsBHgCiACf/6P/yABcAFv/V/2j+9v6U/jz94v2E/ST8xfxt/B/75fvF+8P71fvr+/b79vv1+/z8CvwW/Bn8EfwB++z72vvN+8j7yfvO+9T72vvc+9/76fwB/CL8QfxZ/G/8i/ys/Mv86P0H/S39WP1//Z79t/3N/eH98/4G/hn+K/47/kv+X/50/oP+if6I/ob+iv6U/qH+rf62/r7+yP7X/un++/8O/yL/N/9J/1j/Z/94/47/p//B/9z/+QAVADAASwBnAIIAngC4ANEA5wD8ARIBKgFEAV4BdwGPAagBwQHZAfECCgIiAjkCUAJpAoUCoQK9AtcC8gMOAykDQgNcA3cDlAOuA8YD3wP6BBUEMARLBGoEjwS1BNME6QT8BQ8FHgUkBR8FGwUgBS4FOwVDBUgFTwVXBV0FYgVoBXEFeQV/BYUFjgWaBacFswXBBc4F2wXpBfoGCwYcBisGOgZOBmIGcwaBBpIGpga8Bs4G4Ab1BwoHGgclBzMHSAdgB3QHgQeOB6AHtgfOB/cIFQgzCE0IYwh4CI8IpQi6CNAI7wkZCU0JhQm2CdoJ9AoSCjwKaAqACnoKaApgCmAKSgoPCcQJlAmWCbcJ1AnbCdYJ0QnLCb4JrgmmCasJtgm9Cb4JwAnFCc8J4QoCCjIKZgqVCsQLBwtlC8oMEwwvDC0MLwxIDHAMlgy1DNoNEg1WDYUNeQ0jDKAMJgvcC8QLwAu5C68Lrwu9C8kLwwuqC40LdwtnC1ULNgsJCtQKrAqgCq4KvQqyCooKXwpRCmgKkgq3CskKzArJCsoK0ArWCtMKxQq5CrsKzgrhCuEKzwq7Cr0K3wsVC0ILRwsUCrAKNQm4CUAIzAhoCCgIFAgZCAoHxgdIBq4GIwXKBaQFmgWKBWYFOgUSBOoEuASDBGgEeASVBIcEKQOUAwQCpQJ4AmUCVQJDAi8CGgIDAfEB7QH5Ag8CKQI+AkwCVQJeAmkCbAJfAkYCNgI4AkICQQI2AjwCawLCAyADYwN/A3wDZgNHAyYDDQL8AuoCyQKUAlYCIAH8AeUBzwGyAZIBdgFhAVABPgEtASEBGgEXAREBCQEBAP0A/gEHARUBIQEnASwBOAFLAV8BbQF1AXwBgwGFAYMBfgF6AXQBZgFTAUIBOAEuASMBGQESAQ8BDAEJAQsBEAESARABEAEbAS4BQQFUAWoBgQGRAZIBjQGLAYkBfQFnAVUBUQFPAUABKQEkAT4BYwFqAUIA+QCxAH4AYgBRAEMAMwAgAAn/8f/X/7r/nf+A/2H/QP8d/vv+3f68/pP+ZP42/gv94P2w/X79UP0n/Pz8yPyN/FT8Ivvx+777iPtR+xz66Pq0+oD6S/oW+eT5t/mQ+W35Svkk+Pb4vviC+En4GPfu98f3o/d/91v3NPcI9tv2svaN9mj2QfYW9ef1t/WM9Wr1TPUt9Qr07PTe9N704vTl9OX04PTG9Ij0KvPF83PzO/MT8u/yyPKb8mXyJvHr8cHxqPGV8XvxWfE58SPxFvEH8PDw0fC08J3wivB38GHwTPA68CbwDu/27+rv7e/47/3v+e/07/Xv/fAG8A3wF/Aj8DLwQvBT8GHwavBs8G/wefCJ8JTwlPCP8JLwpPDA8Nvw7/D+8Q7xIPEw8TrxPPE68TnxPvFG8U/xWvFq8XrxhPGB8XTxZPFU8UHxLvEi8SbxPfFf8YbxtPHv8jryjvLj8zfzkvP89HL05vVL9aH17/Y79oH2t/bj9xX3XPeu9/P4I/hM+IX40PkW+T75SflI+Un5Sfk9+Sf5GPki+Ur5hvnM+hP6WPqa+tX7CPst+0H7R/tK+1b7bfuE+4z7g/t9+5H7w/wB/DP8Uvxn/H38k/yh/KX8pPyt/Mn9Av1Y/b7+Hf5g/oj+q/7c/yT/fv/lAFAArQDrAQYBBgD8AO0A3wDdAO4BDgEwAUUBUwFpAY0BuwHrAhsCTAJ7AqUCzgL4AyMDUAODA8QEEQRcBJsE0AUGBUEFfAW0BfAGOAaDBsIG6gcDByAHSweCB7sH8QgjCE0IcAiOCLAI3gkcCWEJoQnTCfkKIApXCqAK8As+C4gLzQwPDEsMhQzMDSYNiw3hDhYOMA4+DlEOag6EDp0Otg7SDvMPHw9bD6YP+BBJEJMQzxD3ERERKxFLEWARVxE2ER0RFRDzEHsPsg72DqgO0A8XDysPDA7yDv4PFg8WDwQPBw8vD2APdA9oD18Peg+/EBIQThBiEFwQXhB5EKYQzxDvERMRQRFsEYcRkxGgEbcRyhHNEcMRtxGtEZ0RgBFiEVgRcRGpEeYSCxIQEhMSPBKSEvMTMBM+Ez4TThNuE4sTmxOnE7YTwhPEE8ITxRPJE8kTxxPSE+kT+hP5E+0T6RPzE/sT8xPiE9QTyRO6E6QTkBOEE3gTYhNFEy0THxMTEv4S4RLMEsQSwxK4EqYSoRK6EuYTBRMFEvoTEBNQE5MTqBOJE18TURNWE0QS/xKKEfARFA/GDgEMHwrECnELJgxUDUQNlQ1tDTENIA0pDR0M7Qy0DIsMagwyC9oLdQsbCtIKjAo/CewJnAlRCQQIsghhCBwH6Ae/B5cHaQc1BwEGzQaaBmUGLQX0Bb0FjQVpBU0FLgUHBNgEqQR+BFIEIgPzA8sDrgOWA3sDXQM+AyQDEQMEAvUC3wLAApsCeAJZAjoCGAHzAc8BrAGIAWIBOgEXAPsA5QDMAKwAiQBtAFkATAA+AC4AHgAO//z/6v/b/8//v/+s/5r/kv+N/4P/b/9b/07/Qf8p/wz++v75/vn+6v7T/sP+tv6W/l/+Of5O/pz+4/7r/rb+dv5Y/lT+S/4t/gX94v3E/aL9ff1d/Uv9Pv0s/RL88fzR/LD8jvxp/Ef8KvwU/AH77PvW+8H7r/uf+5L7h/t6+2r7VftB+zL7KPsd+xD7Avr2+uv63/rU+s36zPrQ+tT61vrX+tn62frZ+tr63/rl+uz68frz+vb6+/sD+w37GPsl+zL7PPtC+0f7TvtZ+2f7c/t9+4T7jPuS+5j7nvun+7P7v/vH+8/72Pvk+/D7+vwE/BH8Ivw1/Ej8WPxj/Gn8bfxz/H/8j/yd/Kj8sfy8/Mj81Pze/On89Pz+/QX9C/0V/SP9Mf07/UH9Sf1W/WX9bv1w/XP9fv2Q/Z/9pf2l/af9rf20/bn9vv3F/c391f3d/ej99P3+/gb+C/4O/gz+BP3+/f/+B/4R/hf+Hf4n/jT+Pf5B/kX+Uf5l/nv+iP6O/pP+mv6k/qv+rf6w/rn+yf7a/uH+4P7d/uT+9v8H/w3/C/8I/w//Hf8r/zH/Mf80/zz/Rf9L/07/Vf9h/23/dv95/3//iP+V/57/pf+q/7D/t//A/8z/2//r//f//gAHABgALgBDAE8AVgBcAGYAcABzAHAAbwB3AIgAmgCnAK8AtAC7AMQAzwDeAPEBBQEWASABJQEqATABOgFHAVgBaAFyAXYBeQGDAZcBrQG7AcEByQHfAgMCKwJNAmoCiQKtAs8C5wL0AwMDJwNmA7AD6AP1A94DxAPKA/UELgRZBHIEjQS7BPQFJAVCBVkFdwWeBcUF6wYaBlUGkgbCBucHDwc3B00HRwc2By4HCgaGBZkExwTUBiEIQwpaC9YMxg2MDlwPGg+jEAEQTBCNELsQ1xDpEOAQnBAoD7sPeg82DpkNjAxiC4cLFwrYCo4KOQn9CeYJ3wnRCb8JtAmsCZsJfglZCTUJEAjqCMMIlghgCCcH9gfSB6oHbgciBtoGqAaGBmUGOAX/BboFaQUPBLMEWwQDA6UDQgLmAqACcQJSAjcCGwICAfQB9QICAhkCNgJVAmwCbgJXAi8CAgHXAbEBkwF2AUcA8AB9ABn/9QASADcAKf/X/2P+9f6X/jn9zP1Y/PL8pPxr/Dj8CPvj+9X73/vz+//7//v+/Aj8Gvwo/Cr8H/wQ/AH78/vj+9P7x/vH+9f77/wD/A78GPwq/EP8Wvxs/H78mvy8/Nv88/0N/TL9Xf2F/aP9u/3T/ez+B/4h/jn+UP5k/nf+i/6d/qn+rf6u/rH+uP7C/sz+1/7i/u7++/8J/xr/Lf9B/1X/Zf9y/37/jP+h/7r/1v/zAA4AKQBDAFwAdQCPAKsAyADjAPsBEQElAToBUgFrAYIBmAGvAccB4QH5AhECKgJEAlwCcgKIAqECvQLYAvIDDAMnA0IDWwNyA4oDowO8A9YD7wQJBCUEPwRaBHkEngTFBOcFAAUUBSYFNAU4BTIFKgUrBTYFQwVMBVAFVQVdBWcFbwV4BYEFiQWRBZkFogWtBbkFxAXPBdsF5gXzBgEGEAYfBi4GQQZXBmoGeQaGBpcGrgbHBtsG7Ab8Bw0HHAcqBzsHUAdmB3gHhweXB6sHwgfbCAIIIgg+CFYIawiDCJwIsAi/CNII8wkiCVwJnQnaCggKIQopCi8KNwo6CioKCgnsCdgJxwmxCZoJmAmuCc8J5QnpCeQJ3wnXCcoJvQm6CcEJygnNCc4J0wnZCeEJ8AoRCkQKewqmCs4LCAthC8gMGgw/DD8MOAxCDGIMjAy0DOENGw1eDYoNdg0XDI4MGQvgC+AL9AwEDAwMFAwWDAUL3gu0C5gLiwt/C2oLSQsiCvsK3QrUCuAK7grjCr4KmwqZCrsK6QsJCxMLEgsSCxULGAsXCxELCQsGCw4LIAswCzELIgsQCwsLGgs1C0oLSQsnCuYKjAofCaQJJQi8CH0IbQhuCFcICQeFBukGXwYGBd8F0QW9BZoFcQVPBS0E/gTNBLYExwTcBLsESAOnAxoCxQKeAoYCawJSAkECNwIsAiQCJgI1Ak4CaAJ9AosClAKdAqcCqgKeAocCbgJcAk0CPQI0AksCkALxA0sDggOYA58DnwOTA3kDXANKAz0DIwLvAqwCcQJMAjYCHQH7AdgBvAGlAY0BdQFkAV0BWwFWAUoBOwEwASoBKgEyAUABTQFWAV8BcQGJAZ4BqAGtAbYBwQHIAcQBvQG5AbIBowGNAXYBZQFVAUcBPQE7ATsBOAE3AT8BUAFdAVwBVwFeAXkBmgG1AcgB1gHiAekB7QHuAesB4wHaAdYB1AHHAagBigGFAZsBqgGSAU0A+wDAAKgApwCqAKUAkwBzAEoAIgAC/+f/z/+0/5f/d/9X/zn/HP79/tj+rf6C/lj+Lf3+/c39nf1w/UD9C/zV/KD8b/w9/An70vub+2X7MPr7+sf6lPpl+jj6Dvnm+cD5mPlr+TX49/i5+IT4Wvg4+Bj39/fS96f3dvdD9xb28fbN9qf2f/ZW9iz2AvXY9bP1k/V09VX1OvUm9Rf1C/UI9RT1I/UY9Nn0bPP285vzZPNC8yTzAPLU8pnyVvIY8e7x2fHI8arxg/Fg8UzxQvE08Rvw+fDb8MbwtvCj8Irwc/Bk8FnwS/A58CnwJPAo8C7wMPAv8C7wL/Ay8DfwQPBM8FfwX/Bi8GHwYPBk8HPwjfCn8LTwsfCn8KXws/DO8OrxAPEN8RbxH/Er8TXxPPE88TjxM/Ew8TPxPvFP8WDxafFo8WLxWfFQ8UPxMvEj8R3xIvEy8U3xdfGs8fDyPfKO8uPzQfOs9B/0kfT49Vb1sfYK9lj2lfbL9w33Yfe19/H4Ffg8+H/40vkV+TL5Mfks+TD5M/kr+Rr5DfkR+Sb5S/l7+bP57/os+mn6pPrU+vT7BfsP+yD7O/tU+137VPtL+1f7fvu1++f8Cfwg/DT8RPxN/FD8UPxW/Gj8jvzO/R39ZP2S/av9xv31/jb+gP7S/zH/lf/uACsATwBlAHkAjAChALsA2ADuAPUA8ADuAPoBFwFEAX4BvQH9AjkCdAKuAuADCAMwA2kDuAQQBFwEmATMBQIFOAVsBaMF5AYrBmkGkQasBswG/Ac5B3kHtAfoCBYIPQhgCIUIswjuCTAJbQmgCcsJ+wo3CoAKywsUC1wLowvlDBsMTAyKDNwNNw2ADagNug3PDe8OEw4vDkMOWA51DpgOwg74DzwPiw/dEC0QcxCrENYQ+xEbESoRHBD9EOgQ3hCwECsPWg6bDk4Oeg7KDukOzg6wDrMOxg7HDrcOuQ7gDxcPMw8sDyQPSg+oEBYQXBBgED0QJRAzEFsQhRCqENURBREsEUIRTxFhEXoRihGMEYURfhF1EV8RPREaEQwRIhFbEaQR2hHpEecSABJMEq0S7xL/EvwTChMvE1QTahN3E4UTkhOXE5wTphOyE7UTsROzE74TyBPFE74TwRPPE9kT0hPCE7QTqROaE4cTdRNpE10TSRMwExkTCRL5EuMSyhK3Eq8SqBKaEocSgRKXEsAS3hLfEtoS9RM6E4ETlRNyE0cTPBNDEykS1BJWEbwQ4Q+IDa4LwgpzCjcK+QwmDRYNcw1bDSANAQz+DPcM1QykDHUMSgwUC8wLdwslCtsKkgpCCe4JmwlLCP4IsQhmCCIH6Ae1B4cHWwcuBwAG0AagBmwGMgXyBbIFfgVbBUQFKQUEBNcEqwSBBFYEJwP4A9ADsAOVA3YDUgMtAw8C+wLvAuICzgKwAo4CbAJMAiwCCwHoAcYBowF9AVIBKAEDAOoA1wDDAKQAfgBaAEEAMgAmABoADgAA/+3/2v/K/8D/tv+m/5f/kf+U/5P/hP9t/1j/Rv8t/w7+8/7m/t7+zv68/rT+sf6b/mj+OP48/nz+w/7X/rD+ef5f/mX+af5Y/jT+Dv3p/cL9mv17/Wv9Yv1S/Tj9Gfz5/Nj8s/yI/GH8Qvwt/Bn8BPvt+9j7xfuy+5/7jft8+2v7WPtG+zf7Kvsc+w36/vry+uj63vrV+s36yvrJ+sn6yfrK+sz6z/rR+tP61/rc+uD64/rm+uv68Pr1+v37Cvsb+yv7Nfs7+z/7RvtR+137Zvtu+3b7ffuD+4j7jvuY+6b7sfu5+7/7yPvV++P77/v7/Af8Fvwm/Dj8SPxW/F/8ZPxq/HX8g/yR/J38pvyv/Ln8w/zN/Nf84vzr/PL8+Pz+/Qf9E/0b/SH9KP0z/UH9Tf1S/Vf9Yv1y/YL9jP2Q/ZX9nP2j/an9rv20/b39xf3N/df94/3v/fr+A/4G/gP9/f36/gD+Cf4N/gz+Dv4a/i7+Pf5B/kD+R/5a/nD+f/6E/oX+jf6Z/qP+pv6m/qr+tv7C/sn+yP7H/s3+2f7k/uv+7/7z/vz/CP8U/xz/Iv8n/y3/M/86/0D/R/9Q/1r/Y/9r/3L/e/+F/4//mf+j/7D/vv/M/9n/6P/1//4AAgAKABsANABJAFQAVgBXAFkAXQBfAGEAZwB0AIQAlgClALMAvgDGAMwA1QDhAPEBAwEWASkBOQFAAUIBRAFOAWABdAGDAYsBkQGdAbEBygHiAfUCBgIYAjECTwJsAocCngK2As4C4wLxAv4DEwM6A28DowPEA8wDzAPZA/0EMARfBIQEqATUBQMFJgU5BUkFZgWQBb8F7gYiBl8GmQbDBuEHAgcpB0UHSwdHBz0HAwZdBV4EoQTmBmgIlgqOC+AMwg2bDoEPPw+1EAUQVRCaEK8QkRBgECkP3g+DD0UPNw8cDo8NcwwoCzEKuAqBCkUJ/QnKCbwJugmqCZMJhQmECX0JZwlECR8I+wjUCKgIdghBCBEH6gfJB6AHZwclBuoGvQaVBmgGNAX8Bb0FdAUgBMcEbQQNA6UDPwLsArUCkAJuAkYCHgICAfkCAQIWAjUCWQJ6AosChQJsAk0CLQIEAdABlgFeAR0AxABYAAP/7QATAD4AMf/e/2r++v6X/i79t/1E/O/8wPyl/ID8SPwL++T73vvr+/j7/fwC/A78IPwq/Cb8F/wF+/X75PvO+7T7ofuk+8P78/we/Df8QvxM/Fv8avx4/Iz8rPzS/PP9DP0k/Ub9b/2V/bH9yv3l/gb+KP5H/mL+ef6O/qD+rv65/sD+xP7L/tb+4f7r/vT+/v8N/xz/Kv82/0T/Vv9r/33/iv+U/6H/tf/Q/+8ADQApAEIAWgBxAIkAoQC7ANQA7gEHAR8BNgFLAWEBdwGOAaMBtwHNAeYB/wIYAi8CRwJhAnsCkQKmAr0C1wLxAwoDIgM7A1UDbgOFA5sDswPNA+gEAwQfBDsEVQRuBIgEqQTOBPEFDQUiBTMFQAVFBUEFOgU6BUQFUgVdBWIFZwVuBXgFgQWKBZEFmAWgBakFswW9BcYF0QXcBecF8wX+BgkGFAYgBi8GQgZXBmkGdwaGBpsGtAbNBt8G7gb9Bw8HIAcyB0UHWQdsB30HjgehB7cHzgfmCAgIKAhFCFwIcQiKCKIIswjCCNoJAQk3CXQJtAnyCiIKNAomCgsJ9wnuCeUJ0wm6CaUJlwmTCZkJrQnICd0J5QnlCeUJ5wniCdcJzwnTCd0J4QndCdkJ3QnkCewJ+godClIKiQqyCtMLBQtWC7YMBgwvDDUMMQw6DFgMggytDNcNBw0+DWINUQz8DIUMJQwCDBcMPgxeDHEMdwxiDCoL3wuhC4cLhwuHC3kLYQtHCy4LGwsYCyYLNwsyCxcK/Ar+CxwLPAtHC0ALOQs9C0YLSAtCCzsLOgtBC04LXAtnC20LbgtrC2cLYwthC18LWAtBCxIKyQplCewJbgkGCM0IwAi+CJsIPgevBxIGjgY8BhYGBgXxBdEFsAWTBXQFSQUbBQUFEQUaBO0EdAPVA1EDBQLeArwClAJyAmICXwJeAl4CZQJ3ApACqQK9AswC2ALhAugC6ALeAsgCqgKFAl0CPgI/AnUC2gNMA6ADygPbA+sD+gP3A9oDtgOiA50DkANmAyQC5QK6ApsCeQJPAicCBwHrAc4BswGlAaQBowGYAYQBcwFrAWgBZwFrAXYBhgGUAaIBtwHQAeIB6gHuAfcCAwIHAgEB9wHxAesB2wHCAaoBlwGHAXkBcAFwAXUBdQF2AYIBmgGuAbABqQGuAckB8AIOAh8CKwI7AkwCVQJSAkUCOwI+AkoCTgI4AgwB5AHVAdYBxQGPAUIBBQDvAPgBBgEHAPYA1QCpAHgATgAvABgAAP/l/8f/qf+M/2//Uv80/xP+7/7H/p7+dP5J/hv96/26/Yb9Uf0e/O38u/yG/E/8GPvk+7D7evtD+w763/q0+ov6Yfo2+gn52/mn+W35MPj3+Mr4qPiL+Gz4Sfgf9+33tveB91b3M/cR9uv2wfaZ9nT2TPYj9fz12/W+9aP1iPVs9U71OPU19U31bPVn9ST0rvQw89DzlPNw81TzNvMO8tPyifJD8hfyBfH68eDxuvGY8YbxfPFr8U3xKfEJ8PPw4vDO8LXwn/CU8JDwivB98GvwXfBZ8F7wZPBm8GTwYPBg8GTwafBt8G/wcfBy8HPwdvB/8JHwqfC98MXwxPDC8Mfw0/Dm8PvxDvEc8SLxJvEp8S7xM/E18TXxMfEr8SbxJ/Ev8TjxPfE98TvxOvE58TPxK/Ej8R3xGvEe8S7xS/F28avx6/I28o3y7/Nb8830P/Sq9RD1dvXZ9i/2c/ay9wP3Z/fB9/j4Efgy+HP4wvj9+RH5EfkT+R35IfkX+QX4+vj7+Qf5HvlD+XL5pvnZ+gr6PPpt+pb6tPrM+uX6//sX+yL7IPsc+yb7Rvt2+6P7xPvc++77/PwA+/379/v2+/78GPxI/Ir8x/zu/QL9Ff01/V79hv20/fb+Uv62/wz/TP+C/7T/4AABABcAJAAoAB8ADP/9AAUAMwCGAO4BVgGvAfcCNgJxAqMCyALrAyADcQPOBCEEXgSNBLsE6QUYBU0FjAXSBhEGPwZgBoMGsQbpBycHZAehB9kICgg0CF8IkQjMCQwJSAl7CakJ2goVClkKoArpCzULgQvEC/oMKAxgDKkM9Q0qDUINTw1oDZQNwQ3gDfMOBg4lDkwOdQ6iDtgPHA9uD8YQGhBgEJcQwRDdEOEQzBCwEKgQqxCFD/8PKg5iDgsOLw6CDqwOlw5vDmEObA54DnkOgw6pDt0O/g79DvMPEA9pD9kQIBAgD/MP0w/gEA8QQxBwEJwQxhDlEPYRBhEfETwRThFREUsRQhEwERIQ7RDOEMEQzxEAEUwRlRG6EcMR2hIeEnoSuhLHEr8SyhLzEx8TOhNIE1QTYRNrE3UThROXE6ETnxOaE5kTmBOSE44TlBOhE6kTpROaE5ITixOBE3ETYBNRE0ETMBMdEwwS+RLiEsoSthKoEp0SkRKAEnESbhKAEp8SuBK/EsYS7hM3E3YTfRNREyYTIxMsEwgSpBIgEYoQrg9BDU0LXAokCgYKzwvsDNMNRQ1ODSEM8QzTDMYMtQyUDGMMLAvzC7oLfAs3CusKmwpICfQJnwlKCPoIrghoCCQH5AepB3YHTQcmBv4G0walBnIGNQXuBagFcgVQBToFIQUABNkEsASGBFoELAP+A9UDsgORA3ADTAMmAwMC6wLcAtECvwKkAoMCXwI9Ah4CAAHjAcIBmgFtAT0BEADtANUAxgC2AJwAdwBRADQAIwAXAAsAAP/z/+P/zf+5/63/pv+d/5T/kv+a/5//l/+B/2n/Vf8+/yD/AP7m/tH+uv6l/p7+of6X/nL+Rv49/mX+nP6w/pb+b/5h/m7+fP51/lz+Pv4d/fb9zf2s/Zj9iv13/Vn9Of0c/P382Pyr/H/8XvxH/DL8G/wD++372vvG+6/7lvuA+2z7W/tL+z37MPsi+xH7APry+ub63frV+tD6zPrJ+sf6x/rJ+sz6zvrP+s/60PrQ+tH60/rY+uD65vrq+u769/sH+xj7JPss+zP7PftJ+1T7XPtj+2z7dPt7+3/7g/uM+5f7o/ut+7b7wPvN+9r76Pv0/AD8C/wY/Cf8N/xF/E/8Vvxe/Gn8dfyC/I38l/yf/Kb8rfy0/L38x/zS/Nr83/zj/Or89Pz+/QX9C/0T/R/9K/0z/Tn9Qv1Q/WD9bf13/YH9jP2U/Zr9n/2l/a79t/2//cb9zv3X/eL97P3y/fP99P36/gb+EP4O/gX+AP4M/iP+Nv47/jn+O/5K/l/+bf5y/nT+fP6K/pf+nf6e/qH+qv6z/rn+uv68/sH+yP7P/tX+3P7n/vH++v8C/wv/E/8Y/xr/Hf8j/yv/M/88/0f/Uv9c/2P/av9y/33/iv+a/6z/vv/O/9v/6P/z//n//QAEABQAKwBAAEsATgBOAE8ATwBQAFYAYQBwAH8AjACbAKwAugDCAMgA0QDeAO4A/gESASoBQQFPAVMBVAFaAWgBeAGHAZUBowGyAcMB2QH1AhMCLQJBAlICZQJ6AowCmgKoAr0C2ALxAwMDDQMbAzYDYQOQA7YD0APnBAcENARlBJMEvwTqBRIFLQU6BUYFYQWNBcEF8gYiBlQGhAarBssG7QcRBy0HOgc+BzQG6gYzBTgEnwUZBroI2wqlC8sMnw2DDnkPPA+5EBwQgxDAEJUQCQ9mDusOnA5tDmcOiA6JDggM7wulCrQKTAowCg8J1wmqCZoJlQmFCXAJZwlqCWMJSQkiCP0I2wi1CIYIUwglCAMH5wfHB5sHZActBv0G0AafBmYGLAXzBbUFbQUbBMYEawQHA50DPQL3As0CrAKDAlECIwIJAgUCEwItAk8CcwKLAosCdwJeAk0CPwIeAeEBlQFLAQUAsQBO//r/3//+ACgAIv/Z/2n+9P6F/hP9n/0//Qr8/Pz1/NL8i/w4+/n74Pvk+/D7+fwB/Az8FfwW/Ar79fve+8n7s/uZ+4D7cvt/+6377/wr/E38WPxZ/F/8bPx+/Jj8vfzp/RD9Lv1J/Wj9jf2x/dD97/4S/jX+Vv5w/oX+l/6m/rT+wP7M/tf+4/7w/v//C/8U/xz/KP83/0f/Uv9b/2f/eP+M/5z/qP+z/8T/3v/9AB4APABWAG4AhQCdALUAzgDmAPwBEQEnAT4BVgFsAYIBmQGwAcYB2wHwAgcCHwI2AkwCZAJ9ApcCrgLDAtkC8QMKAyEDOANPA2cDgAOXA64DyAPkBAIEHwQ8BFgEcgSIBJ4EtwTXBPkFFwUuBT4FSgVPBU8FTAVOBVgFZgVyBXoFfgWEBYoFkQWXBZ0FowWqBbMFvAXEBcwF1gXhBe4F+wYFBg8GGAYkBjMGRQZXBmcGdwaKBqIGuwbPBt8G7gb/BxMHJgc5B00HYAd0B4YHmwexB8YH2AftCA0ILQhNCGcIfgiWCKsIuwjMCOoJGglVCY8JwgnuCgwKDwn1CdEJuAm0CbwJwQm/CbkJtAmzCbsJywnaCeAJ3AnZCeAJ6AnpCeEJ3gnmCfEJ8QnmCd4J4AnoCfAKAAoiClYKjAq2CtgLBwtLC5oL3QwHDBoMIwwzDFAMdgybDLsM2w0BDR8NGgziDI0MTAw/DF4MigytDL8MuwyQDDwL1guKC28LeQuIC4sLhAt6C20LZQtrC4QLoAumC5ELeAt0C4ALhAtyC1cLSwtUC2MLZQtdC1YLXAttC34LiguWC6oLxAvYC9cLxQutC50LjAtsCzMK4gqDChkJqwlNCRYJCAkDCNUIZgfJBykGsAZqBkwGPQYqBhAF9QXdBb8FlAVnBU0FTQVKBRYEogQQA5gDUgMpAv8CzQKlApMCkwKWApkCowK3AtEC6wL/AxEDHwMpAywDKAMeAwwC7AK6AoECWgJoArkDNwOxA/4EHAQnBDsEUQRTBDUEDQP4A/gD9wPaA6MDaQM6AxAC4AKqAngCUQIwAhEB+QHwAfEB7AHZAcEBtAGzAbQBsgGyAbsBywHdAe0CAQIWAigCMQI2Aj8CSAJHAjwCMQIqAiECDwH2AeAB0gHGAbgBsAG1AcMBywHMAdIB4wH3Af8B/gIDAh0CQwJkAnYChAKWAqgCrQKcAoACcAJ4Ao4ClgJ7AkgCGgIDAfQB0gGXAVwBQAFJAVoBWwFCARsA8ADFAJ8AfwBmAE8AMwAU//X/2P+8/5//gv9m/0n/Kf8D/tz+tP6N/mP+Nf4B/cz9mP1n/Tb9AvzL/JP8Xvwt+/r7xPuL+1b7KPsB+tr6r/p/+kz6F/nf+ab5bvlA+R75Avjk+L/4lPhj+C339PfB95j3ePdX9zD3Bvbf9rn2kvZp9kL2IvYI9e/10vWw9Yr1bvVr9YX1ofWZ9VT05PRv9BPz0vOi84DzZ/NJ8xPyw/Jz8kLyNPIx8h/x//Hh8dDxxPGw8Y/xafFH8SzxFPD98Obw0/DH8MLwvfCz8KPwkvCL8I7wlvCY8JTwkvCX8KHwo/CY8Ibwe/B88IXwkvCg8LDwvfDF8MfwzPDZ8Orw+fEF8RDxHPEn8S3xLvEt8SvxKfEp8SrxKvEl8RvxEvEP8RHxE/ET8RDxDfEL8QvxDvES8RTxEvES8RrxL/FO8XbxqvHv8kPypPMN83vz6/RZ9MX1NPWh9gD2TfaY9vj3affK9/34DPgg+FT4l/jH+Nj43vjt+P/5A/jy+Nr4y/jK+NT46/kR+UL5cvma+b755voT+kH6afqJ+qX6wPra+u369vr5+wL7G/tA+2T7gPuU+6X7s/u2+6z7nfuS+5P7pvvR/A78S/x2/Ir8lvyk/LP8u/zH/Ov9Mv2O/ej+Nf58/sD++P8Z/yL/IP8a/xH/Bf8H/y3/iwAXALYBQwGoAeoCGgJIAnMCmQK+AvQDQAOXA+UEHwRLBHIEmQTBBPAFLQVzBbcF7gYZBkAGagaYBs4HDQdRB5UHzwgBCDEIZwilCOcJJQlbCYkJuAnsCisKcwrBCxELXQugC9YMCAxBDIEMuQzaDOQM7g0MDT8Ncw2XDasNwA3hDgsONg5cDoUOvg8MD2oPxxAVEFEQfhCWEJMQdRBZEFkQbBBXD+QPHQ5bDf0OGA5qDp0Oiw5QDh8OFA4jDjsOVg57DqgOyw7TDsgO0g8LD2QPpQ+sD4oPdA+LD8MP/xAwEFwQghCdEKwQuxDWEPQRCREQEQwQ/hDiELsQlhB9EHQQfRCkEOwRPBFyEYkRpRHnEkISgxKSEocSjxK1EuES+xMJExcTKBM4E0UTVRNoE3cTexN2E24TZhNfE18TaBN1E3wTfRN8E3sTdxNsE1wTSRM0Ex4TCxL/EvUS5RLNErYSpxKdEpESgBJxEmkSbBJ5EosSnBKpEsES9hM/E3ATZhMvEwcTCRMOEtkSZBHcEUwQbQ7pDNsK6QnRCdkKrgvADKcNOQ1zDVsNEAzDDJgMjAx+DFQMFQvWC6ULeQtCCvkKpQpQCfwJpwlSCP8IswhtCCkH5AekB24HRAceBvcGzwakBnMGNQXrBaQFbgVLBTIFGQT9BN4EuwSRBGMEMwQFA9kDsAOLA2sDSwMnAwEC4gLPAsMCtQKcAnkCUgItAg0B9AHcAbwBjwFbASgA/QDaAMEAsQClAJEAcgBOADIAHwAP////8P/k/9f/xf+v/5//l/+S/47/kP+b/6b/ov+P/3b/Yv9P/zf/Gf78/uD+xP6p/pz+nv6c/ob+Y/5Q/l3+eP6B/nP+Yv5j/nT+gf5+/nT+av5c/kH+Gv3y/dL9uP2Z/XX9U/03/Rv89/zK/J38evxg/Ej8LvwT+/r75fvR+7v7ovuL+3X7YvtR+0L7Nfso+xv7DPr8+u764/rb+tb60vrO+sz6zPrN+s/6zvrL+sn6x/rF+sX6yPrP+tn64Prk+uf67fr6+wj7Ffsf+yn7NPtB+0v7Vftd+2f7cPt3+3z7gPuG+477mful+7H7u/vG+9H73fvq+/b8APwL/Bf8Jfwx/Dr8Q/xM/Ff8Yvxs/Hb8f/yI/I/8k/yY/J/8qPyy/Lv8wfzG/Mz81vzi/Ov88vz4/QH9C/0U/Rv9I/0u/Tz9Sv1Z/Wn9ef2G/Y79kv2X/Z79pv2t/bP9t/29/cb9z/3X/dz94/3w/f7+B/4E/fn99f4A/hX+Jv4s/iv+Lf44/kn+Vv5d/mP+bf56/ob+jf6R/pf+oP6p/q7+sf61/rr+vf6//sT+zv7c/uj+7v7z/vr/Av8I/wr/DP8R/xj/IP8q/zb/Q/9N/1P/WP9f/2v/e/+M/53/rf+7/8f/0v/d/+b/7f/1AAMAFQAnADQAPABEAEoATgBSAFkAZQByAH4AhwCTAKMAsAC4AL8AygDaAO0A/wESASYBOQFFAUwBUgFZAWIBawF4AYsBoQGzAb4BygHfAfwCGAIrAjoCTAJhAnYChwKYArAC0QLyAwgDEQMVAyUDRwN4A6gDzgPsBA0EOARqBJoExgTvBRMFLQU6BUcFYgWPBcQF8gYXBjgGWwaABqkG0wb3BwwHEgcUBwQGsgX8BR0EtwVcBwII/QqTC5kMaQ1WDk4PEw+gECYQqhDZEGIPYw5TDZ0NTg1DDWINkw2YDSEMJQsGCkMKBAoHCfkJyAmYCYEJeAltCWEJYAliCVQJLgkBCNsIvQiYCGgINwgRB/gH4QfAB5MHYAcyBwYG1gadBl8GIwXpBagFXgUNBLkEYAP+A5kDRAMMAuoCygKeAmwCRAIyAjQCQwJaAnQCiQKLAncCVwI/AjoCOgIkAesBnwFYARcAzABuABX/6f/zAA8ACf/K/2H+6v5x/fj9jf1F/Sz9M/0z/Qv8uvxc/BL77fvn+/D7+/wC/AX7//vy+9/7x/uu+5T7fPtr+2D7Y/t6+6v77fwo/En8T/xM/FL8ZvyE/Kj80fz+/Sj9TP1q/Yj9qv3O/fX+Hv5F/mX+e/6K/pf+pf6y/sH+0/7s/wb/Hf8t/zf/Pv9E/03/Wf9n/3P/ev+B/4v/nP+v/8H/zv/b/+4ACAAlAEEAXAB1AI0ApwDBAN0A9gENASABMwFIAWABeAGOAaQBugHUAe0CAwIXAioCPgJUAmoCggKaArECyALfAvYDDgMmAz0DUgNoA34DlgOtA8YD4gP/BB0EOgRWBHIEiwShBLMEyATkBQUFJgVABVEFXAVhBWIFYQVkBWoFdAV/BYcFjAWPBZMFmAWfBaYFrAWyBbkFwAXHBc4F1gXhBe0F+QYEBg8GHAYrBjsGSwZbBmsGfgaTBqkGvQbOBt4G8AcFBxoHLAc+B1EHZQd7B5IHqQfAB9IH4QfyCBIINAhWCHUIkAioCLwIywjeCP8JMglsCaAJwwnVCdUJwwmnCY0JhQmOCZ8JsQnBCc0J0gnSCdEJ1AnXCdQJzQnMCdcJ5AnpCeQJ4wntCfcJ9QnpCeAJ4wntCfcKBwonClgKjAq5CuELDQtDC3sLsAvfDAUMIQw3DE8MbQyMDKYMuwzSDOgM6gzLDJgMcQxyDJIMuAzQDNgMyQyWDD0L1guKC3ALfQuXC6wLtwu5C7QLswvHC/IMGwwnDBEL8QvdC9MLvAuTC20LYAtvC4ILhQt7C3ULgAuWC6cLswvGC+4MIwxKDEwMLgwJC+4L0QuZC0IK4QqICjcJ3wmHCUsJOgk1CQUIigfdBzgGyAaUBoIGdwZmBlAGOgYjBgUF2gWrBYsFfQVqBTAEwwRBA9YDlgNuA0MDDwLkAtACzgLRAtUC3gLzAxADKwNDA1cDZgNvA20DZgNcA0wDKwL0ArQCjwKpAwkDjwQEBEQEVwReBHIEjASSBHoEVgQ/BD0EPgQuBAwD5AO8A4sDTQMHAskCmwJ5AlwCSAJBAkACNwIhAgwCAwIFAgYCAQH9AgYCGgItAjwCSwJcAmwCdwJ+AoUCigKGAnoCbgJmAlsCRwIvAh8CGAIQAgIB+gIEAh0CLwItAiQCJQI1AkkCWAJnAoECpALBAtIC2wLjAuoC5ALJAqYCkQKWAqkCrAKOAlwCMwIfAhIB9gHNAa0BqAGzAbEBkgFfASwBBgDqANIAuwCjAIYAZQBCACMAB//r/87/s/+Z/37/YP88/xb+8f7M/qX+eP5G/hL93v2s/Xr9Rf0N/Nj8pvx2/EP8C/vT+5/7c/tM+yT69vrC+or6UfoZ+eL5s/mP+XX5XPk6+Qz42Pig+Gj4MvgC9933vvee93n3Tvcl9v321fat9oj2afZN9jP2FfXy9cz1rPWh9az1t/Wj9WP1B/Ss9F/0GPPZ86vzlvOE81bzBPKs8nXyaPJq8l7yQfIj8hHyBPHv8dDxrfGL8WrxS/Ew8RzxC/D88O3w4/Db8NLwxvC+8L7ww/DF8MTwzfDl8P/xAvDk8LXwkPCF8JDwovCz8L/wxfDE8MXw0PDm8QDxEvEc8STxK/Ew8TPxM/Ey8S3xJPEb8RjxGfEV8Qjw+fDy8PXw+vD48O3w3vDV8Nbw4vDy8Pzw/fD+8QfxHPE28VTxffG58gbyXfK88yPzkfQB9HP06PVd9cj2IvZ79un3ZPfJ9/b3+ff/+CX4X/iI+Jj4ofi3+M/41vjE+Kr4mPiU+J34t/jj+Rb5Qvli+X75pPnU+gX6LfpK+mH6e/qa+rr60PrZ+t/67/sK+yX7OftF+1P7Yftk+1j7RPs2+zj7Tft0+6r74fwJ/B38Ivwj/CL8HPwa/C78Yfyo/PP9Ov2B/cb9/P4V/hb+E/4a/i3+Sv58/tj/ZwAbAM8BXQG3AecCBgInAk4CeAKmAt8DIQNnA6YD2wQJBDEEVAR0BJ0E1AUaBWIFoQXWBgMGKwZTBoMGwAcJB1EHkAfEB/UILAhrCK8I8gkvCWMJkgnECgEKTAqdCusLMAtqC54L1AwNDEMMagx8DIMMkgy4DPANKA1RDWkNfQ2bDcYN8w4cDkMOdg7BDx8PfA/IEAQQMhBOEEoQKBAGEAQQHBAXD78PFw5oDgoOGw5uDrAOqg5fDgMNyw3MDfIOHg5EDmsOkg6pDqYOnw6zDukPIQ81DyoPJQ9CD3oPtA/mEBMQPBBZEGkQdRCKEKUQuhDEEMQQtxCYEG4QSRAzECwQMhBSEJIQ3hEVETARUBGVEfQSOxJREkwSVRJ4Ep0SsxK9EswS5hMAExITHxMuEzwTRRNEEzwTMRMrEzATPhNPE1sTYxNpE2gTXhNMEzoTKBMSEvkS5BLbEtgSzhK7EqgSnhKWEocSdRJrEm0SdRJ9EoQSjBKdEsAS/RNCE2cTUBMWEvIS9RLtEp4SEhGDEPcQEw58DF4KdwmJCb8KqAu2DJ8NUw29Db8NXgzdDIUMaQxiDEEMAwvAC48LaAs4CvQKogpNCfsJqwlZCQoIwQh7CDUH7gepB28HPwcUBuoGwwadBnAGNAXrBaUFcAVLBS4FEgT6BOIExQSdBGwEOgQLA9wDrQOFA2cDTAMsAwUC4QLJAroCqgKRAm4CRQIcAfwB5QHRAbEBggFMARwA9QDUALYAnwCRAIIAagBMADEAHgAM//b/4v/V/83/wf+t/5n/jf+H/4X/iv+X/6X/qP+Z/4H/a/9a/0b/Lf8S/vb+2f68/qn+pP6i/pX+e/5l/lz+Xv5b/lP+Uv5e/mr+a/5l/mj+eP6G/oD+Yf43/g395v29/ZP9bv1P/TD9Cvzf/LX8lPx5/F/8Qvwi/AP76fvT+7/7rPuX+4L7bftZ+0f7Ofsu+yT7GPsK+vr67Prj+t362PrT+s/6zPrL+sn6xfrB+r/6v/q/+sD6wvrI+tH62vrh+ub67fr3+wP7D/sZ+yP7Lfs4+0P7TvtZ+2L7a/tz+3r7f/uF+437lvui+677t/u/+8f70vvd++n78/v9/An8Ffwe/Cb8L/w6/ET8TPxS/Fr8ZPxv/Hb8e/x+/IP8ivyS/Jr8ofym/K38uPzF/NH82vzh/Oj88fz6/QH9B/0Q/Rz9K/07/Uz9YP1y/X/9hf2I/Yv9j/2V/Zn9nv2j/az9tv2//cb9zv3Y/eL96P3o/eX95/3z/gP+D/4U/hb+Gv4k/jD+PP5H/lL+Xv5p/m/+c/54/oD+iv6U/pv+oP6m/qj+qP6m/qv+uP7J/tb+3P7e/uP+6/7y/vf++/8A/wX/C/8U/yL/Mf87/0D/Rv9Q/2D/cv+B/47/mv+l/6//uv/G/9L/3f/n//MAAQAPABwAKAA2AEQAUABZAGIAbQB4AIAAhwCQAJ0AqgC0AL4AygDcAPABBAEWASIBKQEuATUBQgFPAVkBYAFrAYEBmwGtAbYBuwHHAdoB7QH8AgsCIQI+Al0CdwKPAqkCxgLgAvQDAQMPAyQDRgNvA5gDvAPdBAIELwRfBIwEtATaBP0FGQUrBT0FWQWFBbkF5AYBBhUGKwZPBn8GsgbWBuMG4gbdBsQGawXBBQ8E6QW6B10JKgqRC4QMWQ1HDi0O2g9fD+4QeRCZD/kOxA2GDLMMWwxLDGAMgwyHDC4LcAqdChgJ+goGCfQJvAmGCWsJZAlhCV4JYAlgCUsJIAjvCMcIpgiACFIIIwgBB+cHzQepB34HUwcrBwAGzQaSBlYGHAXfBZsFTwUBBLAEWAP5A5wDVQMoAwoC6wLFAp8ChgJ+AoMCjwKdAqYCoQKMAmoCSgI4AjcCOQIrAgIBygGQAVEBAgChAEUAEAAJABMABf/L/2z+9/54/fr9k/1Y/U39V/1O/R38yPxs/CL7+Pvr+/H7/vwF+//77PvT+7z7pvuO+3X7ZPti+2z7e/uR+7T75PwS/C38Mfwy/EL8ZvyT/L785/0Q/Tn9YP2B/aD9wf3o/hX+Q/5p/oL+kP6Z/qf+uv7N/uL+/f8h/0b/Yf9u/3H/c/95/4T/j/+Z/6D/pv+u/7v/zf/h//MAAwARACIANgBMAGMAeQCOAKQAvgDbAPgBEgEoATsBTwFnAYEBmgGwAcUB2wH1AhACJwI6AkoCXAJyAooCoQK2AssC4AL4AxIDLANEA1oDbwOFA5wDswPKA+ID/QQZBDUETwRpBIEEmQSuBMEE1ATtBQ0FMQVRBWcFcgV2BXcFdwV4BXkFfAWCBYgFjQWQBZMFmAWgBakFsAW1BboFwQXIBdAF1wXfBekF8wX/Bg4GIAYyBkMGUwZiBnMGhQaXBqcGtgbHBtwG8wcJBxwHLAc+B1IHageCB5oHsgfHB9gH5gf4CBoIOwheCH4InAi3CM8I4gj4CRcJRQl5CaYJwQnACacJggljCVkJZAl1CYMJjwmiCbkJyQnLCcMJvQm8CbwJuwm+CcoJ2AnfCd8J4gnsCfYJ9QntCecJ6wn2CgIKEwoxCl4KkQrCCu4LFws8C2ELjQvGDAIMMAxHDFMMZwyFDKIMtQzADMYMwQypDIYMcQx8DJ0MvAzIDMEMqAx3DC8L4QunC5ILnwu+C98L9wv+C/gL+QwZDFQMiAyUDHYMSAwlDAcL4AuvC4kLhAuXC6wLrwumC6ILrgvAC8sL0wvsDCUMcQypDKwMgQxMDCEL8QuiCzUKzgqFCksKAQmlCV4JSwlQCSkIqgfxB0YG4Aa8BrYGrwadBogGcgZbBjwGEgXlBcAFpAWABTsE0ARbA/8DygOoA4IDUQMmAxADDAMOAxEDGgMvA00DbAOFA5kDpwOsA6kDoAOVA4MDYAMnAusC0AL2A1wD2wRCBHcEgwSHBJgErgS2BKgEjQR4BHAEbwRrBGEEUgQ3BAUDuwNoAyAC7QLKAq8CmwKQAooCgQJyAmQCXAJaAlYCTgJNAlsCcQKFApICnAKoArQCvALCAsYCyALBArUCqAKfApMCfwJsAmQCZQJhAlQCSgJXAnYCjwKNAnYCZwJ0ApcCvgLeAvkDEgMkAykDIgMZAxEDBwL1At0CywLHAscCuQKYAnACVgJQAkwCPAIjAhICDQIFAecBsgF4AU4BNgElARIA+QDaALgAlABzAFYAOwAfAAP/5//N/7L/k/9x/07/Lf8K/uT+uf6J/lb+I/3w/bv9hv1Q/R/88Py//Iv8U/wd++37wvuZ+237O/sF+sv6kfpY+if5//nh+cj5rPmE+VD5Ffja+KT4c/hI+CX4Bvfn98L3l/dr90H3GPbz9s/2rvaO9m/2UfYy9g/17fXU9cf1ufWY9WD1H/Ti9Kb0X/QT893zyfPC85zzSvLr8q7ynfKe8pDycPJR8j7yMvIf8gXx6PHJ8abxgvFm8VXxR/Ez8R7xD/EJ8Qbw/PDw8Ojw5/Dp8PLxDvFA8XDxefFM8P7wuPCV8JTwovCy8L7ww/DD8MXw0fDp8QPxF/En8TPxO/E78TTxMPEv8SvxHvEN8QTxA/EA8PHw3/DY8N7w6PDl8NPwuvCq8KrwufDN8Nnw3fDj8PTxDvEo8UDxYPGP8c7yFvJn8sbzM/Om9Bv0k/UO9YL16fZR9sv3T/e099z31PfP9+74JfhO+F34ZPh3+JD4nfiX+If4efhz+Hn4kPi7+On5Dfkj+Tz5ZPmb+c/59PoJ+hf6LPpO+nn6m/qs+rH6vPrS+uj69Pr3+vv7BPsI+wD68vru+vz7F/s5+137gfub+6b7pfuf+5v7mfue+7D71vwJ/ED8efy2/PL9Hv0y/Tj9Sv11/br+Ef58/wb/rABbAPQBYQGhAcYB4gIBAikCWwKVAtEDCgM6A2YDlAPFA/UEGgQ5BF4EkwTXBR4FYAWYBccF8QYZBkgGhQbLBxIHUAeFB7cH7wgtCHAItAj2CTEJZgmcCdwKJwp3Cr0K9QsjC1ELhQu5C+QL/wwODB4MPAxrDKUM3Q0HDSENNA1MDXINow3VDgQOOg6DDtsPMg96D7QP5hAJEAsP6w/GD78P0g/SD4wO/g5fDfgN9g5GDqQOww6CDgUNnA19DaIN3A4IDiwOVQ55DoMOdQ5vDooOtw7XDuEO6Q8HDzkPbQ+dD8sP+BAZECgQMRBCEFoQbxB6EHsQcRBYEDMQEA/4D+4P8xAREEoQjBC5ENIQ9hE/EaAR7BIKEg4SHRJBEmUSdhJ7EogSpBLGEuES8hL8EwYTDhMQEwsTARL7EwITFBMpEzoTRRNME0gTNhMfEwwTARL0Et8SyhK/Er0StxKqEp0SlRKNEn0SbRJpEnMSfhKBEn8SghKTEroS+BM3E1MTNxMBEuQS5hLNEmIRuhEaEIQPlg30C9cKEAlZCb8Kugu8DJYNUA3aDfsNpA0QDJYMXQxHDCgL8AuwC3wLTgsaCtcKigo6CewJoAlWCQ4IygiHCEIH+Qe0B3UHPwcNBt8GuQaWBm0GNAXtBakFdgVRBTEFEgT4BOMEyAShBHAEPgQPA94DrQODA2YDTgMwAwkC5ALIArMCngKCAl8COAIPAe0B1gHCAaMBdAFBARcA9gDWALMAlACBAHQAYQBGAC0AHAAM//f/4P/R/8r/wv+v/5n/h/9+/3v/f/+M/57/p/+f/4n/cv9f/0v/M/8X/vr+3v7C/q3+of6a/o7+fP5r/l7+VP5I/j7+P/5G/kb+OP4r/jL+Uv52/oX+d/5W/i7+Bv3c/bP9jf1p/UH9Fvzr/Mn8rfyV/Hn8Wfw1/BL78vvX+8P7svuh+4/7evtm+1L7Qvs2+yv7IPsR+wH68vro+uD62vrT+sz6xvrB+rz6uPq2+rf6ufq7+rz6vfrA+sj60vrd+ub67vr2+v/7CfsT+xz7JPsu+zn7RftR+1r7Yvtq+3P7e/uD+4v7lfuf+6n7sfu3+737xvvR+9v75Pvu+/r8BfwO/Bb8Ifws/DT8OPw6/ED8S/xX/GD8Zvxp/G38cvx3/H38gvyJ/JD8mvyn/LT8wPzJ/NL83Pzl/Ov88vz6/Qb9FP0i/TD9Qf1U/Wb9cv12/Xb9df14/X39gv2K/ZT9oP2r/bT9uf29/cH9xP3G/cz91f3i/e398/33/fz+BP4N/hf+If4u/j3+Sv5S/lT+Vf5Y/l/+aP5y/nv+hP6K/ov+h/6F/ov+nP6w/r7+w/7F/sn+0P7Z/uH+6f7u/vL+9f79/wv/G/8o/zD/OP9H/1r/a/94/4L/jf+Y/6T/r/+6/8b/0f/d/+r/9wAEAA8AGwAqADsASwBZAGYAcgB8AIMAiQCRAJ0AqwC5AMYA0gDhAPMBBwEXAR8BHgEcASMBMwFGAVMBXQFsAYEBmAGpAbIBuQHDAc0B1AHbAesCBgInAkgCZgKBApgCqgK3AsQC1wL0AxcDOwNdA30DnQPBA+oEFgRABGcEjQSyBNYE9gUOBSUFQwVtBZ4FzAXqBfwGDQYtBl8Gkwa2BsEGvwa3BpMGLQWNBQ4FNgZCB+kJjQrIC6wMhg1wDjkOuA8ND3MP3A/nD00ONA0UDEcL0wuVC38LkAuoC4sLIQqcCkIKJQoYCe0JqQlyCVwJWglbCVoJWwlYCUQJGgjpCL0IlQhrCD8IFgf0B9QHsAeHB18HPAcYBu0GuQaDBkwGEwXSBYoFQAT3BKsEVAP3A6MDZwNDAycDDALxAt8C1gLUAtcC3ALgAtgCvwKbAnoCZgJcAlYCTgJBAi4CEAHdAY0BJAC4AGYAQAA9AD0AJv/u/5f/J/6k/h79sf12/Wb9ZP1L/Q78uPxi/B778/vj++j79/wB+/r75PvK+7X7pfuT+4H7efuD+5f7pfut+7r71vv6/BT8H/wo/EL8cfyn/Nj9Af0n/U/9dv2Z/br92/4C/i7+Wv59/pX+o/6y/sr+6P8E/x3/OP9Y/3f/jf+W/5n/of+u/7z/w//G/8n/0v/i//QACAAcAC4APQBKAFQAYgBzAIgAnACtAL8A0wDtAQkBIwE4AU0BZQGAAZwBtgHNAeEB+AIRAisCQgJVAmcCegKRAqkCwALUAuUC+QMRAywDRwNfA3UDigOhA7kD0APmA/0EFQQvBEkEYAR2BIwEoQS2BMoE3ATzBRAFMwVVBW8FfQWDBYUFiAWIBYcFhAWEBYgFjAWQBZMFlwWeBacFrQWyBbgFvwXIBdEF2gXiBesF9AYBBhEGJAY3BkcGVwZnBnkGiQaUBp8GrQbBBtkG8AcDBxMHJQc7B1UHcAeJB6AHtgfJB9oH6wf/CCUIQwhiCIEIoQi/CNwI+AkVCTQJWgmECasJwQm5CZMJYglACTwJTwlhCWgJawl6CZYJrQmyCakJoAmgCaQJqQmuCbgJxQnQCdcJ3wnsCfcJ+gn3CfQJ+AoBCg4KIQo/CmkKmwrOCv4LIgs5C08LeQvADA8MRQxVDFIMWwx4DJwMsQyzDKkMkwx0DFUMSgxfDIcMpgysDJkMdwxMDBsL7AvLC78LygvoDBAMLgw0DCkMKAxODJQMzgzYDLEMeAxHDB4L8QvCC6YLqgvCC9cL2gvUC9ML3QvlC+QL4wv+DEUMpQzsDPIMuQxoDBwL0AtvCwAKpgp0Ck4KCQmlCVcJSAlYCToIuwf9B1IG9QbdBuAG3AbKBrMGnAaCBmEGOwYVBfIFywWTBT0E0ARmBBoD8QPZA7kDjgNlA08DSQNLA04DWANuA40DrAPEA9UD3wPjA+ED2gPOA7gDjwNYAyYDHANPA7YEKgSDBK4EugS+BMcE0ATSBMgEugSuBKkEqQSvBLcEuQSnBHUEJgPNA38DRgMfAwEC6QLYAs4CygLFAr0CtgKuAqcCpAKsAr8C1QLlAu8C9gL9AwMDBgMGAwYDAwL5AukC2gLOAsECswKnAqcCrwKxAqcCngKqAswC6gLrAtICvQLHAvMDKgNVA20DeAN3A2oDUwM8AzADMgM5AzkDLwMbAwEC3wK+AqcCoQKkAqACjQJyAlsCSAIsAf8BywGgAYYBeAFnAU0BKwEIAOUAxQCpAI8AdQBZADwAHwAB/+H/wP+g/4L/ZP9D/x3+9P7I/pn+Z/40/gD9y/2X/Wf9Of0I/NP8nvxs/ED8Fvvq+7j7gvtK+xD61/qh+nT6UPoz+hf59PnE+Yr5TfkU+OT4uviV+HT4U/gx+Ar33vew94X3Xfc69xj28/bM9qj2ivZv9lH2LfYJ9ef1xPWX9WT1NvUP9OL0n/RR9Bj0B/QF8+XzlPMw8uny0fLL8rrymPJ58mnyX/JP8jjyHvIE8eTxw/Go8ZnxjfF58WDxUPFL8UbxNvEe8QrxAvEG8RnxRvGM8c7x3/Gq8Ujw5/Cs8JjwnfCs8LrwwvDF8Mjw0/Dn8P3xEvEp8T/xS/FF8TPxJvEi8R/xEPD88PHw8/Dy8OTwzvDC8Mjw0/DT8MHwqfCY8JfwofCu8LTwuPDE8N/xAPEe8TTxTPFw8Z/x1vIY8m/y2fNN88L0OfS29TD1ofYT9pT3HfeF96z3nveS96z34vgN+Br4HPgn+D74U/hd+GD4YPhe+GD4cPiS+Lj40fjf+PH5GPlO+YX5q/m/+cn52vn6+if6U/pu+nv6iPqc+q/6s/qr+qT6pfqp+qr6qvq4+tT69PsN+x37Kvs0+zb7MPso+yb7LPs6+1L7c/ud+8z7/vw0/Gf8jPyl/MD88/1J/bz+QP7Q/2oABACLAO8BMgFhAYoBsQHYAgICOAJ6ArsC7wMSAy8DVQOGA7oD5QQJBDIEagStBO8FKQVcBYkFtAXfBhIGTgaTBtcHFgdQB4kHxggECEIIfwi6CPUJLQloCasJ9Ao/Cn8KsArXCv0LKQtUC3gLkQunC8cL9AwqDGAMkQy4DNMM5gz7DR4NUg2LDcIN+Q48DowO3g8mD2UPnw/JD9IPuQ+YD48Pmw+WD1UO0A4rDasNiA3QDk8OpQ6LDgsNfg0/DVsNnQ3RDfIOFg4+Dk8OQg4zDkEOag6RDqQOsg7QDv8PMA9eD4sPtQ/TD+AP6A/8EBkQMRA5EDQQKBAVD/sP3g/GD7gPvQ/bEBEQSxBzEI0QthEDEWIRrRHPEdsR7xIVEjoSTBJPElUSaxKOErESyhLUEtgS3RLjEuQS3BLTEtYS6RMAExATGBMaExQTAxLvEuIS4RLeEtESvBKtEqUSnxKWEo0ShxJ/EnISZxJpEnQSfBJ5EnISchKEEqwS6BMhEzQTFRLkEs8S0hKsEioRZxCrD/oO9A1LC0YJtQk/CdYK2Qu7DGUM/Q2FDcoNpg01DLwMZwwyDAYL1gukC3ALNgr1Cq8KZwoeCdUJjAlHCQQIxQiFCEQIAAe+B38HRgcQBuAGuAaVBmsGMgXsBawFfAVbBTwFGgT6BN8EwwScBG0EPQQPA98DsAOHA2oDUAMxAwwC6ALKArACkwJzAlECLQIGAeMByQGzAZUBaQE4ARIA9wDaALQAkAB5AGsAWQA/ACYAGAAN//7/6f/Z/9D/xv+y/5j/g/93/3L/df+A/5H/nf+b/4v/dv9i/0z/MP8R/vH+1f68/qj+mf6L/nz+bf5k/l/+Vv5G/jT+Kv4m/hr+A/3u/fD+Df4y/kr+Sv46/iD+A/3k/cX9pv2B/VL9Ifz3/Nv8xvyv/JL8b/xK/CX8Afvk+837uvup+5f7hftz+2L7UvtD+zX7JvsW+wX69vrr+uL62vrT+sv6xPq8+rX6sfqx+rP6tfq2+rX6tfq4+sD6y/rY+uP66vrv+vX6/vsI+xL7Gvsi+yz7N/tD+037Vvte+2f7cft6+4T7jfuX+5/7pvut+7T7vPvF+8371vvg++v79vwB/Av8GPwj/Cn8Kvwq/C38N/xD/E38VPxY/F38YPxi/Gb8avxx/Hn8gvyN/Jn8pfyw/Lr8xvzQ/Nj83vzn/PT9A/0P/Rf9IP0v/UP9Vf1e/V79XP1c/WH9aP1x/Xz9if2W/aD9pv2o/ar9rP2w/bf9wf3M/dT92P3b/eL97f33/f/+B/4S/iD+Lf40/jb+N/46/j/+Rf5O/lr+Z/5v/nD+a/5p/nP+hf6Z/qf+rP6u/rP+u/7E/s7+1/7d/uH+4/7q/vn/Cv8Z/yX/MP8//1D/X/9q/3T/gP+O/53/qf+z/73/x//U/+P/8f/+AAoAFQAiADMARQBWAGYAdQCBAIoAkQCYAKIAsADBANAA3ADmAPIBAwESARoBGQEYAR4BKwE6AUgBVgFpAX4BjQGXAaEBsAG9AcIBwQHEAdYB8wISAi4CSAJhAncChQKOApoCsQLVAv4DIwNDA2IDhgOuA9cD/AQdBD4EYwSLBLIE1ATyBQ0FLAVSBYEFswXcBfYGDAYrBloGigapBrQGtgarBnQF9gVYBQ8FjgbiCJUKEwsdC+wMyg21DmoOvg7XDvMPEw75DncNqQzXDCcLlwskCugK+gs4C1sLNwrkCpYKYAorCeQJmQloCVgJWQlYCVMJUQlMCTgJEgjiCLEIgghVCC0ICgfoB8EHkwdnB0EHIAb8Bs8GnwZwBkEGCAXCBXUFLAToBKEETQP1A60DfQNdA0EDKAMaAxkDHQMZAxMDEAMOAv8C3gK3Ap4CmAKSAoACaAJbAlsCTgIRAZ0BEgCiAGwAawB8AHwAXAAg/83/Yf7Z/kn90v2L/W79Wv0y/O78nvxR/BX76/vX+9j76Pv3+/j76fvX+8v7w/u5+7D7sPu9+8z70PvL+8374vwG/Cb8NvxB/Ff8gPy1/Or9G/1J/XP9mP25/df99v4Z/kD+aP6N/qv+w/7d/v3/Iv9E/1//dP+F/5P/nf+o/7n/0//u//z/+v/x//D//QAVACwAPwBOAF0AagBzAHkAggCTAKsAwgDSAN8A7gEEAR0BNQFLAWEBewGYAbQBzQHkAfoCEAInAkACWAJvAoUCmwKxAskC3wLyAwIDFQMtA0gDYgN5A40DoQO3A84D5AP6BBAEJwRABFkEcASGBJoErwTGBNsE7wUCBRkFNQVTBW0FfQWGBYsFjwWSBZAFjAWKBYsFjwWTBZUFmAWdBaMFqQWvBbYFvwXKBdQF3wXpBfMF/AYHBhQGJQY2BkUGVAZmBngGhwaRBpsGqwbCBtcG6Ab2BwcHHgc7B1kHdQePB6cHvAfQB+IH9QgLCDEISghmCIUIpAjDCOQJBwksCVEJdAmUCa4JugmrCYIJUQkvCSwJPAlNCVIJVwlnCYMJnAmjCZsJkgmSCZcJnAmiCaoJtwnFCdMJ4gnxCf4KBQoFCgMKBQoMChkKLQpLCnIKoQrWCwgLKQs5C0kLdgvHDCAMWAxfDEwMRgxdDIEMmgycDIsMbgxLDC4MKQxDDG0MjAyQDHgMUgwrDAoL8gviC9sL4Qv7DCUMSQxTDEUMQgxpDK8M6gzxDMQMhAxMDB4L8QvLC7wLyAviC/UL+gv5C/wMBAwDC/UL6wwGDFcMyw0nDTgM9AyADAQLjQsaCrMKcQpWCj0J/QmfCVgJTglfCTsIuAf7B1gHAwbzBvoG+AbqBtUGvAadBnoGWwZABiMF9QWqBUME0ARvBDMEFgQFA+sDxwOmA5IDigOJA4sDlgOtA8sD6AP+BAwEFAQYBBkEFQQIA+wDwQOQA28DegO5BB0EgwTMBPAE/QUCBQQE/wT1BOsE6QTuBPQE/AUGBRAFEwUABNAEhgQwA+ADoANxA00DLwMbAxADEAMSAxADCQMCAwIDDAMeAzEDPwNHA0wDUANVA1YDUwNOA0gDQAMxAxwDCAL6AvAC6ALlAukC8wL6AvkC9gMCAyEDQwNRA0MDMAMyA1QDhwOyA8MDvgOsA5MDeQNmA2MDdQOQA6ADlwNzA0IDFQL6AvQC+wL+Au0CyQKgAn0CYAI+AhYB8QHYAcgBuAGdAXoBVgE0ARYA+wDiAMsAsgCVAHYAVQAyAA//7P/N/7H/lP9z/1D/Kv8D/tj+qv57/kn+Ff3g/a/9f/1P/R386/y+/JT8afw4/AH7yfuR+1n7I/ry+sj6pvqG+mL6NPn9+cD5hflT+Sv5Cfjp+Mb4oPh4+E34H/fx98f3oveC92D3OfcO9ub2x/as9pD2bfZE9hj16vW39YT1W/U99Rn03vSU9Fz0SvRK9C/z4vN88yzzCPL78ufyyPKs8p7ylvKH8nDyW/JH8jDyFfH98e/x4/HP8bbxovGX8YnxbvFK8S3xIfEn8T/xcvG98gLyFvHi8X3xE/DK8KrwqPC08MPwzPDM8M3w1vDn8PrxDvEo8UPxUfFH8S7xGfET8Q/w//Dq8OHw6PDu8OHwyfC58LnwwvDE8LjwqPCd8JnwmfCY8JXwlvCm8MXw7PEM8SXxPfFd8YHxqfHc8ibyh/L082Pz2PRW9NX1S/XA9kL2yvc09173VPdH91/3kPe398L3wPfJ99739vgM+CH4NPg/+EL4TPhk+IL4lvid+Kb4wfju+SH5Tvlt+YL5lPmw+dn6CPou+kb6Vvpm+nL6b/pe+k76SvpR+lr6aPqA+qL6wPrP+tD6z/rR+tP6z/rI+sb6z/rj+wD7JvtU+4j7v/v1/CP8Sfxw/Kj8//12/gL+lP8n/7MALACFAL8A6wEaAVIBiAGyAdkCCwJNApMCzALxAw4DMANcA4sDtgPgBBEETQSMBMYE9gUhBUoFdQWlBdwGGwZfBqUG6AcqB24HsAfuCCQIVAiECLYI7gkqCWsJrwnyCjEKZAqMCq4K0Qr2CxgLNwtZC4YLvgv2DCYMTgxuDIkMngy1DNgNDA1IDX4Nrw3mDisOeQ7GDxAPUw+ED5MPgg9pD2APZQ9XDxAOhg3WDTsM+g03DcoOTw5gDfMNXQ0LDR0NYQ2XDbUN0Q3xDgMN/A31DgkONg5cDm0Odw6UDsQO9w8kD0wPcQ+JD5MPnQ+1D9kP9A/4D+oP1w/GD7UPow+SD4gPjw+vD+EQFhA+EF4QjhDbETkRhxGzEcYR1xHxEg4SIxIsEjASPRJZEn8SnhKqEqsSrRK4EsASuxKvEq4SwBLYEuUS5BLfEtoS0hLHEsASwhLEEr0SqxKZEo4ShxKBEnoSdBJsEmQSXxJkEmsSbRJkEloSWxJuEpkS1RMJExMS7hK+ErASthKIEfURGRA7D2EOOgyNCq8JZgk5CfsK/Qu3DCAMegzmDUQNYw05DOEMewwfC9sLsQuRC2ULIwrWCo0KSgoHCb8JdgkyCPIItQh5CD4IAgfFB4kHUAcaBugGuwaTBmYGLAXoBaoFgAVkBUcFIwT7BNcEtgSRBGUEOAQMA98DtAONA24DUQMvAwoC5wLKAq0CjAJoAkYCIwH+AdgBuwGkAYcBXQEvAQwA9QDbALcAkQB2AGcAVgA7ACEAEQAKAAD/8f/i/9f/yP+x/5X/fv9x/2z/bv92/4P/jv+P/4P/c/9g/0v/L/8P/u7+z/63/qT+lf6E/nD+YP5b/l3+Wf5H/i/+HP4S/gX97/3X/cz91P3m/fX9+v32/er92P3G/bj9qP2M/WD9Lv0H/O/83vzJ/Kr8hfxe/Df8Evv0+9z7x/uz+5/7jft9+277XvtN+z77L/se+w36/vrx+uf63vrW+tD6yfrB+rr6tfq0+rX6tPqx+rD6svq3+r/6yvrW+uD65frn+uv69Pr/+wn7D/sV+xz7Jvsx+z37SPtS+1v7ZPtt+3f7gfuL+5T7m/uj+6r7svu6+8P7zPvW++D76/v2/AL8D/wa/CD8Ifwg/CL8Kvw0/D78RfxK/E/8UvxU/Fb8Wvxh/Gj8cPx6/IT8jvyX/KL8r/y6/MP8yfzS/OD88fz8/QD9Av0L/R79NP1B/UP9QP1A/Uf9UP1a/WT9cP19/Yj9j/2U/Zr9n/2k/aj9rf20/bv9wP3F/c391/3h/ej97v31/f/+CP4P/hT+Gv4i/if+LP40/kD+T/5Z/lv+WP5Z/mX+d/6I/pL+l/6c/qP+q/60/r7+yP7P/tT+2P7g/u3+/v8O/xv/Jv8y/z7/Sf9T/17/a/97/4r/mP+j/6//u//K/9r/6P/2AAIAEAAfAC8AQQBVAGcAeQCIAJMAmwChAKgAsgDCANIA3gDmAO4A+AEFAQ0BEgEXAR0BIwEnAS8BQQFZAW0BdQF4AYEBlAGkAagBpAGpAb8B3wH9AhMCKAJBAlkCbQJ8Ao0CpwLIAuwDDgMvA1QDfgOsA9QD8wQOBCwEUgR7BKEEwQTgBP8FIAVEBXAFpAXWBfsGGAY7BmkGlQavBrgGuQakBlIFtwUcBQsF5Ad+CTsKjgtmDBwM/A3uDp4O3Q7JDp0OaA4ZDaUNIgykDCMLjgsBCrYKzwskC2ULXwshCtIKhAozCdwJkwlqCVwJWQlTCU4JSglDCSsJAwjRCJ0IbAg/CBkH+AfVB6oHeQdMBycHBAbcBq4GgQZbBjMF/AWyBWIFGATWBJAEQgP3A74DmgN6A1kDPgM4A0QDTANDAy8DJAMhAxUC9QLRArwCtwKuApICdAJqAnACXAIEAW0A1AB4AHAAmQC5ALAAfgA5/+b/e/7z/l/94P2O/WL9QP0R/NL8jvxS/CD7+fvg+9r75fv2/AH8Afv5+/L77fvq++n77vv3/AD8AfwA/Ar8J/xO/Gv8dPxy/HX8i/y2/PH9M/1x/aL9w/3a/fD+Cv4o/kr+cP6b/sb+6/8M/yz/Uf93/5f/rP+1/7b/uv/M//EAIQBHAFIAQgAqAB8ALABFAFoAZgBuAHcAgwCLAJEAmQCrAMYA3wDxAP0BDAEhATkBUQFoAYABmwG2Ac8B5gH8AhQCKwJAAlcCcAKMAqYCvALQAuYC/AMQAyIDNANKA2QDfQOSA6QDtgPJA94D9AQIBB0ENARNBGgEgQSZBK8ExgTeBPcFDQUfBTAFQwVZBW8FgQWLBZAFkwWUBZMFjwWMBY0FkQWWBZkFnAWhBacFrQW1Bb4FxwXQBdkF5QXwBfsGAgYIBhIGIAYvBj0GTAZfBnEGgQaOBp0GsQbHBtkG5AbxBwYHIwdCB14HeAeUB7AHygffB/EIBAgZCDsIUghsCIoIqQjICOkJEAk9CWgJiwmgCaYJmwmACVoJNQkhCSAJLQk7CUYJUwlmCX4JkAmWCZIJjgmNCZEJlgmdCaYJswnDCdUJ5wn5CgYKDQoPCg8KEQoZCicKOwpVCnYKogrXCwsLLQs7C0sLeQvODCsMZAxmDEkMNQw+DFsMdgyDDH8MbQxSDDsMNgxJDGcMfAx7DGUMQwwiDAoL+wvvC+IL3QvvDBsMSQxeDFkMWAx4DLQM4wzhDLEMbww4DA8L7gvXC9ML4wv5DAYMCwwPDBkMIgwcDAcL+AwUDG8M9g1tDZINUQzDDBoLdwruCowKWQpJCjUJ/wm1CYIJeAlyCTQIowfuB1sHDwb/BwUHBwcBBvMG2wa5BpgGgQZxBlkGJAXIBVEE3ASEBFQEQAQxBBwEAgPsA90D0QPJA8cD0gPoBAQEHgQxBD4ERgRMBE8ETAQ8BB0D9QPRA8cD5wQwBI0E4AUVBS4FOgVCBUMFOAUoBR8FJgU3BUkFUwVXBVgFUQU7BREE0wSHBDgD8gO8A5QDdwNjA1gDWQNdA14DWwNcA2kDgAOXA6QDpwOmA6cDqQOqA6cDoAOXA4wDfgNrA1UDQAMyAywDLAMtAzEDOANDA00DVANhA3oDnAO3A7wDrAOeA6cDxwPpA/UD6QPQA7oDrAOoA7ADxQPcA+UD0QOjA2wDQQMuAzEDOAMwAxEC4wK2ApMCeAJcAj8CKAIXAgYB7AHJAaYBhwFrAVABMwEZAQEA6QDMAKoAhgBiAD8AHv///+H/wf+h/4H/YP88/xX+7P7B/pP+YP4q/fX9xf2X/Wr9PP0Q/OX8tvyA/EX8DPvX+6T7c/tH+yD6/frW+qf6cPo0+ff5wvmX+Xj5XPk8+RX46Pi5+Ir4XPgw+Aj35vfH96f3gfdX9y/3DPbt9s/2rPaH9l/2MvX99cf1m/V79Vn1I/Tb9J/0hvSE9HH0L/PP83nzSPMx8xvy/fLh8tDyxfK38qbymPKP8oHybfJZ8kryPvIq8g3x8fHa8cLxn/F38VjxS/FQ8WjxmPHd8hryKfH58Z3xPfD28NLwyfDR8Nvw3/DZ8NXw3PDr8PzxDPEi8TvxR/E98STxEfEL8Qbw9PDd8NXw3vDn8OHwzfC98Lvwv/C+8LfwrvCn8KDwlvCM8IPwgvCO8KnwzPDu8QzxK/FN8W7xjfGy8eryOvKW8vrzafPo9G306fVf9dv2Wva+9uv27Pbs9wv3PPdd92P3Yvdv94j3ofe699n3/fgZ+CP4Kfg4+FD4Y/ho+Gn4c/iP+Ln46vka+UH5Xvl4+Zr5xPnt+gv6HPol+if6H/oO+gD5/voI+hb6Jvo6+lL6ZPpo+mP6YPpl+m36cfpw+nH6fPqU+rf65vsg+1/7nvvU/AH8Lfxo/L79M/27/kf+zv9M/70AFwBVAIEArgDpAS4BaQGSAbIB2wIVAlkCmQLNAvcDHwNHA20DkwPAA/UEMARpBJoEwwTrBRUFQwV4BbIF8wY5BoAGyAcRB1gHmgfSCAEIKQhQCIAIuQj2CTEJaQmjCd8KGApGCmgKhQqnCs0K9AsdC08LiwvIC/gMGgwzDEkMXgx3DJwM0Q0MDT8NaA2SDcoOEQ5hDrIO/A8zD0gPPQ8nDxwPGQ8ADrEOIw1wDNAMhgy5DUsN2g4BDawNJwzYDOENGw1NDWkNgg2fDbINtw3DDekOHA49DkAOQA5YDokOvQ7oDwsPLQ9HD1UPXw92D5YPrw+xD54Phg90D2kPYA9ZD1kPZw+GD7QP5RAPEDQQZRCvEQ8RbhG0EdYR2xHWEdkR6RH+Eg0SGRIuElEScRJ/En4SfxKNEpoSlhKHEoQSmhK3EsQSuhKrEqQSoxKeEpgSlxKaEpgSjhKBEncSchJtEmcSXxJXElISUhJWEloSVhJLEkESQxJbEosSyRL2EvQSxxKaEpISlxJeEbcQxA/HDsMNeQvOCiMJKwlHCiwLKQvCC/oMHQxiDL8NCw0gDO0MgQwGC6wLgwtyC08LDQq9CnQKNQnxCacJXgkcCOAIpghtCDYIAAfGB4sHUgcdBusGugaMBlwGIwXiBaYFfgVlBUwFJQT2BMoEpQSBBFoEMAQGA90DtAOQA3ADTwMqAwMC4QLDAqYChAJfAjsCGAHyAcwBrAGTAXcBUAElAQUA8QDbALoAkwB3AGcAVwA+ACEADQAD//v/7//h/9T/w/+r/5D/ef9s/2j/af9v/3n/gP9//3f/av9c/0r/Mv8V/vb+1f65/qP+k/6C/m3+W/5T/lP+Uf5B/in+Fv4O/gn9+/3l/dD9wv27/bj9uP21/a39nv2S/Y79jP2A/WD9N/0W/QL89fzj/Mb8oPx1/En8IvwD++z71/vB+6v7l/uH+3X7YvtR+0P7Nfsl+xT7BPr3+uv64PrY+tP6z/rI+sD6uvq4+rb6tPqx+rD6tPq5+sD6yfrU+t364vrk+uj67/r4+wH7B/sL+xD7Fvsg+y37PPtJ+1L7Wfth+2v7d/uC+4z7lfud+6T7q/uz+777yfvT+9z75fvv+/r8BfwP/Bf8Gvwb/B78I/wr/DP8Ovw//EP8R/xK/E38UfxV/Fz8ZPxt/Hb8fvyG/I/8m/yn/K/8tPy7/Mf82Pzl/Or86fzu/P79E/0i/SX9I/0l/S79Of1D/U39WP1l/W/9dv18/YX9j/2V/Zf9mP2d/ab9rf2z/br9wv3L/dH91v3a/eD95v3s/fT9/v4K/hP+GP4e/in+Nv5A/kT+Rf5K/lf+Z/50/nz+gf6I/pH+mv6j/q3+t/7A/sf+zf7V/uD+7f77/wn/FP8e/yf/Mf87/0j/Vf9i/3D/fv+N/53/rv/A/9D/3f/p//cABwAZACsAPwBTAGcAegCIAJQAnACiAKYArAC3AMUA0gDcAOIA6ADvAPgBAwEPARcBFwESARUBKQFGAVsBXwFdAWUBeQGLAY8BjgGZAbUB2AH1AgoCHgI2Ak4CZAJ5ApECrQLKAuYDAwMkA0wDegOqA9UD+AQWBDgEXwSDBKAEuQTWBPkFHgVDBW0FoAXTBfwGHAZCBnEGnQa0BrkGswaMBh8FcgTpBRkGRggXCdQLAQu0DFoNNg4gDsEO7g7ADmIN6w1pDPYMqgx3DCgLpQsUCsAKygsLCz0LOgsLCskKfQonCdEJkAluCWAJVglMCUcJRQk5CRoI6wi3CIUIVAgnB/4H2Qe0B4oHXgc1BxAG6ga9Bo8GZgZGBiQF8QWqBVsFEATLBIUEPgQCA9kDuwOZA28DUANOA2EDawNaAzsDKAMlAx8DAwLcAsACsgKkAo0CeAJxAmkCMwG3ARMAkQBoAJIA0QDoAMEAdAAf/8n/Yv7j/lj93v2I/VL9J/z5/Mb8lfxs/En8KPwN+/78AfwR/CP8K/wp/CD8GPwV/Bf8Hfwk/Cz8OPxM/Gz8kvyy/L/8t/yj/JP8lvy2/PT9RP2R/cj95P3z/gP+Gv42/lX+ev6q/t7/Df8x/0//c/+e/8r/6P/z//L/9wARAEQAgACrALIAlwBzAF8AZAB1AIIAhQCEAIkAlQChAKkAsgDCANkA8QEEARMBJgE+AVkBcgGKAaMBvQHWAe0CAgIYAjECSQJeAnQCjQKqAsQC2QLrAv8DFQMsAz8DUANkA3sDlAOqA7wDzQPfA/QECQQeBDMESQRhBHsElQStBMQE3AT2BRAFKAU7BUkFVgVoBXwFjgWZBZsFlwWUBZEFjwWOBY8FkwWaBaEFqAWtBbMFugXCBcoF0QXXBd4F6AXzBfsF/wYEBgwGGgYqBjgGRgZWBmgGegaMBqEGuAbOBt0G6gb7BxUHMgdLB2AHdweXB7sH2gfwCAEIEgglCEQIWAhxCI8IsAjRCPYJIAlPCXwJmwmiCY8JaQk/CSAJFAkXCSIJLAk2CUQJVwlpCXYJfQmBCYQJhwmKCY4JlAmdCakJtwnHCdsJ7gn/CgoKDwoSChUKHAonCjgKTApgCnoKnwrSCwcLKws6C0kLdQvIDCYMZAxsDE8MMAwoDDgMVAxwDIIMhgx/DHQMcAx1DH4Mggx7DGoMUww9DCsMGwwGC+oL1QvbDAUMPQxlDHEMdAyJDK8Mxwy2DIEMRAwYDAAL9AvwC/UMAwwQDBYMFwweDC0MOAwyDBwMDwwwDJYNKw23DfgNyw1BDIULxwsqCsIKjAp0ClgKKQn1CdEJugmNCSYIigflB2gHJQcPBw4HEgcVBw4G+wbfBscGuwazBpkGWQXuBW0E+ASpBIIEcARgBE4EPQQyBCcEGAQJBAQEDQQiBDkETgRfBGwEdQR7BH0EeQRoBEsEKgQZBCgEXQStBQAFPgVdBWcFbgV6BYEFfAVvBWgFcQWEBZMFlgWQBYYFdwVgBT0FCwTLBIMEPQQHA+EDyAO1A6kDpgOpA60DsQO8A9ID7gQEBAsECgQHBAcEBQQAA/cD7QPhA9EDvwOsA5gDhgN5A3YDewOBA4MDhgORA6YDuQPGA9YD8QQTBCQEFQP1A+ID7gQLBBwEEwP9A+4D7wP5BAMEBwQFA/cD2AOsA38DXwNRA04DSAM1AxQC7QLNArYCowKOAncCYwJSAjsCGwH4AdkBwgGqAYsBaQFKATEBGAD7ANgAswCRAHIAVAA1ABT/8v/S/7X/mf94/1L/K/8F/t3+rP50/j7+Dv3j/bn9jf1f/TD8/PzD/If8T/wd++/7xfud+3f7T/sf+ub6qfps+jX6B/nk+cj5rPmI+Vr5KPj1+Mb4mvhx+Ez4K/gN9+73zPem9373V/cw9w327fbQ9rP2j/Zf9in1+PXQ9an1cPUl9N/0uPSx9Kf0ePQl88/zk/Ny81fzNfMQ8vTy5PLb8tby1vLV8svyt/Kh8pPyh/Jz8lTyMPIQ8fHxzvGo8Ynxd/F38Yvxt/Hz8iTyLPH+8bDxYvEn8QTw8/Dw8PHw7vDl8ODw5vDz8P7xB/EU8SXxMPEo8RfxC/EK8Qbw8vDZ8Mzw0fDZ8NfwzPDF8MXwxfC+8LXwr/Cp8KDwk/CI8IHwf/CD8JLwqvDJ8OrxD/E28VnxdfGR8brx9PI68ory7fNo8/H0d/T09Wz13fYw9lX2YPZ59rH28vcV9xn3Gvcv91H3bveD96L3zvf1+Aj4C/gR+CP4Nfg6+Df4N/hF+GH4i/i/+PT5IPlB+V35fvmg+bv5y/nQ+c75yfnC+cH5yfnX+eP56/nv+fP59fnx+ev56vny+f76CPoQ+hr6LfpM+nj6sPr0+zr7efut+9z8Ffxn/Nj9Xv3p/mn+2v8//5b/3gAWAEkAhADLARMBTQF1AZQBtgHkAhwCWQKXAtIDBAMsA04DdAOlA94EFwRJBHIEmQTDBPIFJgVfBZ0F3gYjBmoGtAb+B0EHeQenB84H9ggjCFsImgjXCQoJNQlhCZcJ0goFCigKRwpqCpQKvgrlCxULUguWC80L8AwCDA8MHww3DFwMkQzPDQYNMQ1WDYQNwQ4KDlkOpA7eDvYO7g7YDskOvw6gDkwNvA0PDHsMOwxoDOMNWg1+DUMM4gymDKkMzwz0DRINNg1cDXcNiQ2oDd4OFQ4qDhwODw4jDlQOhw6sDssO7w8TDysPOQ9FD1gPZw9oD1oPRQ8xDyQPHA8bDyQPOQ9ZD4UPtQ/jEAoQNRB0ENURTRG7EfcR8xHIEaMRpBHDEeMR+BIMEioSSRJZElkSWhJpEnUSbhJZElYSchKYEqgSmRJ/EnESbxJrEmMSXhJiEmgSaRJkEl4SWxJYElESSBJAEjwSPRJAEkASPRI2EjASNxJUEogSxBLlEtQSohJ9EnwSdxIjEWEQWg9HDiUMwAsdCa4JCwlqCmQLVQvaC/8MCgwuDHIMvwzrDNAMagvkC4ALVgtKCysK7AqiCmAKIQnYCYcJPgkECNAImghjCC8H+gfBB4QHSwcXBuUGswaDBlQGHwXhBaUFfAVkBUsFJATwBL8ElwR0BE8EJwP/A9kDsgONA2sDSQMkAvwC1wK3ApkCeAJTAi4CCgHmAcEBoAGEAWYBQgEeAQMA8QDcALwAlgB6AGoAXABFACkAEAAA//T/6P/a/8r/uf+j/4v/d/9q/2P/Y/9o/2//cv9w/2v/ZP9a/0z/Of8h/wT+4v6//qD+i/55/mf+VP5H/kP+Pv4w/h3+D/4L/gv+Bf31/d/9x/2y/aT9nP2V/Yn9dv1m/WD9Y/1g/U/9NP0c/Q79Bvz6/OL8vvyP/F38MvwT+/376PvS+7z7qfuW+4D7aPtU+0X7OPso+xf7Bvr4+uz64PrW+tH6zvrJ+sL6u/q5+rj6tvq0+rX6t/q6+r76xPrO+tj63vri+ub67Prz+vn7APsG+wz7EvsZ+yX7NftD+037U/ta+2X7cft9+4j7lPue+6X7q/uz+777yvvU+9v74fvp+/L7+vwE/Az8E/wY/Br8Hvwj/Cr8L/wy/Db8O/xA/EX8SfxN/FL8Wvxj/Gz8dPx7/IL8jPyX/J/8o/yn/LD8vvzL/NH80vzX/OX8+P0F/Qj9B/0L/Rb9I/0u/Tf9Qv1P/Vn9Xv1i/Wr9df19/YD9gv2H/ZH9m/2i/af9rf21/bz9wP3E/cn9zv3T/dn95P3x/fv+Av4H/g/+Gf4i/if+LP42/kT+Uv5c/mT+a/50/n3+hf6O/pf+o/6t/rb+vv7F/s3+1v7i/u/+/P8I/xH/HP8p/zf/RP9P/1r/Z/94/4v/n/+0/8X/0//e/+v//AAPACIANgBLAGAAcgB/AIgAjwCVAJkAnQCkAK8AvQDHAM0AzwDTAN0A7AD8AQUBBAD/AQQBGwE4AUsBTgFNAVgBbQGAAYgBjwGiAcIB5AH/AhQCKgI/AlECYQJ1ApECrwLLAuUDAgMkA0kDcwOiA9IEAAQpBFEEdASRBKQEtgTRBPcFIQVJBXQFpQXUBfkGFwY7BmsGlgarBqsGmgZhBeMFNwTUBUkGugiuCmgLhAwxDNgNpQ5jDs4O1A6PDhgNfgzgDHQMVgxdDDcLwAsiCq4KiwqdCrQKuAqqCooKUgoECbgJiAl0CWsJXAlKCT8JNgkiCPwIygiYCGcINwgGB9gHrweLB2cHQwcgBvwG1AanBnoGUwYzBhIF5AWmBV8FFgTQBIsESwQZA/cD2QOzA4QDZANkA3gDgQNtA0oDMgMrAyMDBQLWAqoCkAKFAoECgAJ6AlMB7wFWAMAAcgCGANIBCQD7AKsAQP/c/4H/Iv60/kD92P2G/Ur9Gvzw/Mz8rfyV/H/8ZvxO/Dv8N/xD/FX8X/xa/Er8O/w1/Df8Ovw+/Ej8YvyM/L385fz4/PX84/zL/Lf8svzH/P39S/2a/dX99f4H/hv+Nf5S/m/+kv7C/vj/Kv9Q/2//lP/E//UAGgAqACwAMwBRAIYAwwDuAPUA3AC5AKMAogCqAK8AqQCiAKMArgC9AMgA0QDcAO0BAAETASUBPAFYAXQBjwGnAcAB2QHxAgcCHQI1Ak8CaAJ+ApQCrALHAt8C8wMFAxkDMANGA1kDaQN7A5EDqwPCA9UD6AP8BBMEKgRBBFYEawSBBJgErgTDBNkE8AUGBR4FNAVHBVQFYQVyBYgFnAWnBaYFngWYBZcFmAWZBZsFoAWoBbIFuQW9BcEFxQXLBdEF1QXZBd4F5wXvBfYF+wYBBgwGGwYrBjkGRgZTBmQGdwaMBqQGvQbTBuUG9wcNBycHPwdQB14HdgeZB8AH4Af3CAgIGwgvCE0IYAh3CJMItAjbCQgJOglqCZEJpAmaCXMJOQkHCPII/wkcCTIJOQk+CUoJXglsCW4JbAluCXkJhAmKCY4JlgmjCbIJwAnQCeQJ+AoHCg4KEAoSChgKIwozCkYKWAppCnsKmwrKCv0LIgsyCz4LZQuyDBAMVwxuDFoMNwwfDB8MNQxWDHcMkQyfDKcMrQyxDLEMqwyhDJYMjAx/DG8MWQw3DAwL5wvfC/8MOgxuDIkMkgycDKoMqgyLDFUMIwwJDAgMEAwZDCEMKwwyDDMMMgw3DEIMSwxFDDQMMgxhDNANag38Dk4OPw3TDSgMaQvAC0kLAQrSCqQKcQpFCiIJ9AmeCRcIegfuB4oHTQcuByQHKAcvBy4HIQcTBwwHDAcEBt8GkQYbBZYFJATcBLkEpwSUBIEEdARvBGYEVQRFBEIETARcBGwEegSKBJgEoQSlBKcEpgSbBIQEbwRuBJEE1QUqBXUFpAWzBbEFsgW/Bc4F0QXJBcEFxAXNBdEFyQW8Ba8FnwWIBWcFOgUBBMMEiARZBDkEIgQMA/oD8wP3BAAECgQbBDQETwRjBGsEbQRwBG8EaARaBEwEQAQzBCAECwP5A+oD2QPJA8QDzAPXA9oD2gPmBAMEIQQyBDkESgRnBHkEZwQ5BBUEGQQ6BFQEUQQ8BC8ENAQ/BD4ELAQPA+4DzAOsA5IDfwNwA14DSQMwAxgDBAL1AugC2ALDAqwClgKCAmkCSgIqAhAB+wHiAcABmgF5AWABRwEpAQUA4QDBAKUAiQBqAEcAJQAH/+z/0P+w/43/av9I/yL+9P6//ov+XP4z/gn92/2q/Xf9Qf0H/Mz8lvxn/Dz8Ffvv+8f7l/te+x/64vqs+n76V/o3+hn59/nM+Zj5Y/ky+Qb43fi2+JP4dPhW+Df4Fffw98j3nPdw90n3LPcY9wj28vbP9p/2a/Y59gf1x/V19SX08PTg9Nv0v/R/9C/z7vPE86PzevNK8yLzDfMN8xjzIvMg8w3y7vLS8sLyuPKm8obyYPI+8iDyAfHc8bjxm/GQ8Z3xxPH78iLyIfHz8bDxc/FH8SfxDvD98PTw7vDp8Onw8PD58P3w/fEC8Q3xFPEP8QXxAfEF8QLw8fDZ8MvwyvDL8MfwxPDH8Mvwx/C78LDwqvCl8Jzwj/CH8IXwg/CB8ITwkvCq8Mnw7PET8TrxW/F48Zrxw/Hy8inydPLf82Xz9/SF9Qb1bfWn9bb1vPXo9kL2ovbY9uH24/b/9y33UPdk93r3offL9+L35vfo9/P4APgF+AP4A/gL+Bn4MfhX+I34xvjz+RH5KPk/+Vb5Zvls+W35cvl/+ZT5rPm/+cb5wPmz+ab5nfmY+ZT5lPmY+Z/5qPm0+cj55foN+kD6fvrE+wn7Rft6+7P7//xo/Or9c/30/mT+xP8X/1//nf/XABcAYACtAPEBKAFVAX4BpQHJAe4CGwJTApECyQL1Ax0DTQOKA8wEBgQ0BFsEgQSsBNwFEgVQBZMF1gYYBl0GpwbxBzEHXQd9B50HyAgACEIIhQjACOoJCgksCVsJlAnICfEKFQo/CmwKkgqzCtsLGAtgC50LwQvPC9cL4wv3DBkMTQyQDNMNCg02DWINlw3XDh0OYQ6VDqsOoQ6JDnoOcw5VDf8Nagy9DDUMAgwrDIkM2wz0DNQMoQyBDH8MjQykDMsNAg03DVoNdA2cDdcOBw4NDfAN3A3xDiYOVw51Do4Osw7gDwQPFw8dDyEPJg8mDxwPCw71DuEO0w7TDuEO+g8dD0wPhA+6D+UQBRAzEI0RFxGpEgISARG9EXkRaBGIEbMR0BHkEf4SHRIxEjcSPRJMElYSShIyEi0SShJzEoUSdRJWEkISOxI0EisSJxIvEjoSQBI/EjsSORI3EjISKxImEiQSJRIlEiMSIhIhEiUSNBJZEo8SwRLOEq0SfRJmEmcSSBHJEOMPzg61DYIMDwp9CVEJBgmgCqILeQvpDA0MGAwqDEwMegycDIoMMgu4C1kLMQsiCwAKwwqBCkcKCgm7CWUJHgjrCL8IjghYCCUH8ge6B30HRAcRBuAGrQZ9BlEGIAXlBakFfgVmBVAFKQTzBL8ElQRxBEoEIgP7A9YDrwOGA2ADPwMdAvYCzgKqAosCaQJEAh8B/QHeAb4BnQF8AVoBOAEaAQMA8QDbALwAmQB/AHAAYgBOADQAGgAG//f/5//U/8D/rf+a/4n/eP9q/1//XP9f/2P/Zf9i/2H/Yf9f/1X/Rf8w/xf+9f7M/qP+g/5t/lr+SP45/jD+KP4d/g7+Av38/fj98v3n/df9xf2y/aL9l/2P/YL9bf1W/Uf9Qf08/TL9I/0W/Q79Cf0A/O38zPyf/G38Q/wm/BH7/Pvl+9H7wPuu+5X7ePtf+037Pvst+xn7Cfr9+vH65PrZ+tL6z/rL+sX6v/q8+rv6uvq5+rn6ufq5+rn6vfrG+tD62Prd+uH65/rt+vT6/vsK+xT7Gvsf+yn7N/tF+077U/tY+2H7bPt3+4T7kfue+6f7rvu1+7/7yvvS+9f72/vh++j77/v3/AD8CfwP/BL8FfwY/B38IPwi/Cb8LPw0/Dv8QfxH/E38VPxb/GP8a/xx/Hf8fvyH/I/8lfyZ/J/8qfy0/Lr8vvzE/ND84Pzs/PH88vz4/QP9D/0Y/SD9LP06/UX9Sv1M/VH9Wv1i/Wj9bP1z/Xz9hv2M/ZL9mv2i/an9rf2z/br9wP3E/cf9zf3X/eL96v3w/ff9//4H/g3+Fv4i/jH+Pv5I/lH+W/5l/m3+dP58/ob+kv6c/qX+rf60/rv+wv7M/tn+5/70/v7/Cf8X/yb/M/89/0j/Vv9m/3j/jP+i/7b/x//U/+P/9AAHABgAKgA+AFMAZQBwAHYAfACDAIkAjQCTAJwApwCuALAAsQC2AMEA0QDfAOgA6gDuAPsBEwErATcBOAE8AUwBYwF3AYUBlgGyAdMB8QIHAh0CNQJJAlUCXwJxAo4CrwLPAu4DEAMzA1MDdAOeA9AEBgQ1BFsEeQSPBKAEsgTQBPkFJQVQBX4FrgXbBfwGFgY4BmQGiQaYBpEGdAYsBaQFBwTSBYIHIQklCt8MBQzNDYUONw6tDsYOlA46DbwNGAx2DB4MKgxaDEULvgr5ClQKAAnwCgMKIgo+Cj8KFgnRCZYJggmKCY4JeglYCTcJHAj9CNYIqAh6CEoIFQffB60HhQdmB0oHLAcNBuoGxQabBnAGRwYhBfsF0AWcBWEFIgTgBKAEZQQ2BBID8QPIA5wDfwN9A4sDkQN+A1wDQQMyAx4C9QK5AoECYAJcAm0CgAJ2AjIBrgERAKAAiwDIARQBKgDwAH8AAP+Q/y7+0/55/iL90f2I/Ur9Gfz2/N78zfy+/K78nPyI/Hb8bvxz/ID8hvx8/Gb8U/xM/E38TvxM/FP8cPyg/NT8+P0F/QL8+vzy/Or85vzx/RX9Uf2W/dP+Af4k/kT+Y/6A/p3+wP7t/x7/TP9w/5H/t//jAA4ALAA6AD8ASwBpAJkAzwD2AQQA+QDmANoA2QDfAOAA2QDRAM8A1gDhAOsA8gD7AQkBGgEsAT8BVAFuAYoBpgG/AdcB7gIGAh8COQJTAm4CiAKfArUCzQLlAvwDEAMjAzkDTwNkA3QDhAOXA64DyAPgA/QECAQeBDYETwRmBHwEkQSlBLgEyQTaBOwFAAUTBScFOgVLBVkFZgV3BY0FowWuBa4FqAWlBagFrgWwBbEFtQW9BcUFyAXHBccFyAXMBdAF0gXWBdsF4wXrBfIF+gYEBhEGIQYwBj0GSQZWBmYGeQaPBqgGwQbZBu8HBAcaBy8HQAdOB2AHeQeaB7sH2AfwCAgIIQg4CFQIbAiECJwIuAjfCRMJSgl6CZgJoAmOCWAJIgjvCOEI+wkmCUEJRwlGCU8JYQlsCWoJZQlqCXoJigmSCZcJnwmtCb0JzAndCfEKBQoRChUKFAoWCh0KKAo3CkkKWQpoCngKkwq9Cu4LEwsmCzMLVAuaC/cMRwxvDGcMRQwhDA8MFQwuDFEMdAyUDLEMzQzkDPEM8wzvDOkM4QzVDMIMpQx8DEsMHgwKDBsMSQx6DJsMqQyvDLAMowyADFAMKwwhDC0MPgxGDEoMUgxgDGsMbgxsDGoMZwxgDFkMagytDSUNtg41Dn8Ogw48DbMNBAxWC88LcwsxCvMKuQqJClsKFgmjCQ8IfQgLB7sHhAdgB1IHVgdcB1kHUgdRB1oHYQdSBx8GxgZNBcoFWwUVBPME4ATLBLYEpwSfBJUEhwR+BIEEjgSZBKAEqgS6BMkE0ATTBNoE5ATlBNgEygTTBQEFTQWjBeoGEgYcBhcGFQYhBjAGNQYsBiAGGQYWBg4GAAXyBecF2QW9BZQFZAUyBQME2AS1BJkEfwRjBEsEQQRFBFIEYQRzBIwEpwS8BMoE0wTZBNgEygS2BKYEngSSBH0EZgRWBEkENwQhBBYEHgQvBDYENgRBBGIEiwSkBKoEswTHBNMEugSFBF0EYgSJBKgEowSGBG8EagRpBFkENgQNA+gDzAO7A7ADpQOTA3kDXANGAzgDMAMoAxsDCALxAtgCwgKsApQCeAJbAkMCKwIQAe4BygGsAZQBegFaATYBEwD2ANoAvACbAHoAWgA8AB8AAf/i/8P/pP+F/2L/N/8I/tn+rf6B/lP+I/3w/b39h/1P/Rf84/y0/In8Yfw5/Av71PuW+1j7I/r3+tH6rvqM+mj6PvoL+dP5n/lx+Uj5Ivj++N34v/ig+H34V/gv+AT31vep94P3aPda91T3Tfc69xb24/aq9m32KPXW9YL1QvUm9R/1DPTb9JX0VPQl8/7zz/OY82vzV/Ne83HzevNu80zzIfL/8u3y4fLO8q/yjPJu8lTyN/IR8ebxv/Go8avxyfH28hLyCPHZ8Z7xbfFN8THxFfD88Ozw5/Dp8O/w9/D88Prw9fD18Prw+/D18O3w7vD18PXw6fDa8NLwz/DI8L3wuvDC8MnwxPC08KjwpfCj8JjwivCD8IPwg/B+8H3wh/Ca8LLwzfDw8RnxQvFn8Ynxq/HM8e3yG/Jp8uDzdvQZ9LD1HPVH9Tn1J/VN9bn2N/aK9qL2qvbK9wD3LPdA90z3ZveJ96T3r/e19773xffF98P3yPfS99j33Pft+Bj4VviP+LT4yPjZ+O74/vkE+Qn5GPk7+Wv5l/mw+bD5nvmF+XP5bPlv+XT5dflw+Wr5Z/lw+Yb5qfnX+g36TPqO+s77CPtE+4378Pxq/PH9cf3i/kP+mv7m/yf/YP+c/+MAMwB/ALwA7wEjAV0BkwG4AdEB6wIVAksCgQKxAuIDHwNoA7ID8QQjBE8EeASgBMoE/AU7BYUFzQYQBlMGnQbpBygHTQdjB3wHqAfmCCoIaAiaCL4I2wj8CScJWgmNCboJ6AoaCkoKbgqKCq4K6AsuC2cLhwuTC50LrAvBC+EMFAxaDKgM6w0fDU4Ngg3ADgEOPA5kDm4OWw5BDjcOOA4fDcUNJgx0C/QLzAv0DDkMbQx9DHUMZwxfDFkMWgxwDKYM7Q0oDUgNXg2FDbsN3w3WDbENnw28DfYOKQ5EDlgOdw6kDswO4w7rDusO6Q7lDtoOyA6wDpcOiA6IDpgOsw7YDwsPTA+PD78P2A/3EEQQyxFoEdQR4BGfEVYRPRFYEYIRnhGwEccR5RH9EgwSGhIuEjoSMRIaEhISKBJKElkSShIuEhgSDhIGEf8SABIJEhMSFRIREg4SDhIOEgsSCBIJEg4SERIOEgoSBxILEhcSMxJiEpkSuxKwEoISWBJNEkYR/RFFEDoPHw4JDNELWgnmCQQJFAnlCuMLlgvpDAoMHAwlDCoMNwxHDDgL8AuHCzQLDwr8CtYKlwpZCiQJ6wmeCUoJBgjYCK4IfQhJCBkH6ge1B3wHRAcSBt0GpwZ1BksGIAXpBa8FhQVvBVsFNQT/BMgEnQR3BE4EIwP7A9YDrAN+A1MDMgMUAvECyQKiAoACXgI5AhMB9AHbAcEBoQF6AVMBMgEZAQQA8ADYALsAnwCIAHgAaQBUADsAIgAO//7/7P/V/7z/pv+W/4r/fv9w/2H/Wf9Z/1r/WP9W/1j/Yf9n/2P/Vf9C/yv/Df7j/rT+iv5r/lT+P/4u/iL+GP4N/gD98v3n/dz90P3F/bv9sf2k/Zf9jf2H/X79bv1Y/UH9L/0h/Rf9D/0I/QL8+/zv/Nz8v/yZ/HH8Uvw9/Cr8Evv5++T71vvF+637jvty+1/7Tvs8+yn7GvsP+wT69vrp+uD62/rX+tD6yvrF+sL6wPq/+r76vfq7+rr6vvrF+s760/rY+t365Prs+vb7A/sS+yD7KPss+zT7QPtN+1T7V/tZ+1/7Z/tv+3r7iPuW+6H7qfux+7r7xPvL+8770fvV+9z74vvo+/D7+fv//AP8BvwJ/A38D/wR/Bb8Hvwn/C/8N/xB/Er8UfxW/Fr8X/xk/Gn8bvx1/H78hvyN/JP8m/yj/Kn8rfyy/Lz8yfzV/N384/zr/PX8//0F/Qv9Ff0i/S79Nv05/T39RP1M/VL9WP1e/Wb9bf10/Xz9hv2P/Zb9m/2h/av9s/23/bj9u/3C/cz91f3e/ef98P34/f/+CP4V/iT+Mf47/kP+Tf5Y/mH+aP5w/nv+h/6Q/pb+nv6n/q/+t/6//sv+2f7k/uz+9f8B/xD/HP8n/zP/Qv9T/2T/d/+N/6P/t//I/9n/7QABABMAIwA0AEYAVwBgAGYAbABzAHwAgwCKAJEAlgCXAJUAlQCcAKkAtwDAAMUAzQDbAPIBCQEXARoBGwEkAToBUgFlAXYBjwGyAdUB7wICAhcCMAJGAlQCYQJ2ApQCtwLbAwEDKANMA2cDgQOlA9UEBwQwBEwEYgR4BI8EqwTQBPsFKQVWBYQFtQXgBgAGGgY7BmEGfQaCBnIGSQXzBWQE1QTFBaAHVglbCxgMWA1JDhQOpg7UDqUOTw3uDW4MwwwiC98MDwxYDDwLkgqgCdUJbAleCYYJwwn1CgAJ2QmeCX4JjgmzCcEJpQltCTIJAQjZCLUIkAhnCDMH9we7B4oHZwdMBzMHFwb5BtkGuAaVBmwGPwYQBeIFuAWMBV0FKATwBLgEhARWBC0EBwPeA7gDnAOSA5QDkgOBA2UDRwMqAwMCywKHAksCKAImAj0CVAJGAfoBegD7ALoAzAEOAT0BKQDTAFf/1P9b/u7+kf5H/gn9zP2K/Uv9Hf0E/Pn88Pzi/ND8vvys/Jz8kvyR/Jb8lPyF/Gv8WPxS/Fb8WPxU/Fb8a/yT/L/84Pzz/QD9D/0c/SP9Jf0p/T39Zv2h/eP+JP5a/oH+nf62/tX+//8u/1n/ev+T/67/z//zABEAJAAuADcASQBpAJMAvgDfAPEA9wD5AP0BBQEMARABDQEJAQcBCgEPARIBFwEgAS8BQgFTAWMBcgGFAZ8BvAHXAfACBwIgAjwCWgJ3ApICqgLBAtkC8QMIAx4DMwNIA14DcgOFA5UDpgO7A9QD7QQDBBcEKQQ9BFQEawSBBJcErAS/BM8E3QTsBP0FEAUjBTcFSgVbBWoFdwWHBZsFrQW3BbcFtQW4BcAFxgXGBcMFxQXKBc4FzAXHBcUFyAXMBc8F0QXUBdoF4QXpBfEF/AYKBhgGJAYwBjsGSQZYBmkGfAaSBqwGxgbgBvgHDgcgBzAHPwdRB2gHggeaB7AHyAflCAQIIwg9CFUIegicCLIIwgjcCQcJOQlkCYAJjAmGCWYJLgj4COEI9gkfCT0JRAlCCUkJWAljCWIJYQlrCX8JkQmaCZ8Jqgm5CckJ2AnoCf0KEAoaChsKGgodCiMKKwo1CkEKUApfCm8KhgqsCtsLBQsfCzALTwuPC+gMPgxxDHYMVgwsDAsMAAwLDCUMSQxyDJ8Mzgz+DSYNQA1KDUQNNg0hDQcM6AzCDJgMcQxYDFcMbQyMDKgMuQzCDMQMuAyaDHUMWQxWDGIMagxmDGIMcgyXDLwMzAzDDK0MmAyKDI4MtQ0MDYUN/Q5TDnsOeA5IDeANRAyXDAcLpgtkCycK6wq0CnkKIgmiCQ8IjggxB/EHwQeiB5gHngeeB5MHiQePB58HpAeKB04G8waCBgYFlwVNBSkFFwUEBO4E2wTOBMMEugS5BMME0ATWBNgE4QTyBQEFBwUNBR4FNwVFBT8FMwU/BXIFwwYZBl4GhQaRBo4GjQaWBqAGngaOBngGaAZcBk8GPgYvBiMGDwXrBboFiQViBUQFKgUSBPgE2gS5BJ4EkwSXBKQEsgTEBN0E/AUVBSYFMQU3BTMFIwUQBQUFAgT4BOIEyAS5BK8EnwSHBHgEgASTBJwEmwSjBMcE+AUbBSYFLAU3BTkFGwTkBL4ExQTqBQEE8QTIBKUEkgSABGIEOgQTA/UD4QPVA84DxwO4A6EDiQN6A3IDawNdA0oDNAMfAwkC8wLbAsICpwKLAnECVwI6AhsB/QHiAcgBrAGLAWoBSwEvARAA7wDNAK4AkQByAFAALgAQ//f/3f/A/5z/df9N/yT++P7J/pj+Z/42/gT90P2a/WX9M/0E/NX8p/x5/Ef8DvvQ+5j7bPtJ+yr7B/rf+rT6gvpK+hD53Pmx+Yv5Z/lF+Sf5Cvjo+MD4lPhm+Dr4Dvfl98L3qfeb95f3mfeV9373UfcV9tX2k/ZJ9fn1tPWI9XT1X/U19Pb0tfR/9E70GvPk87nzqPOv87zzvPOl833zUvMz8yLzFPL88tvyuvKg8onyavJD8hfx8PHV8c7x3PH18gPx8/HF8ZDxZ/FN8TbxG/EB8O/w6fDt8PTw+/D98Pvw+PD28PHw5/Da8NXw2/Dj8OLw2fDU8Nfw2PDL8LnwsvC78MXwvvCs8KHwoPCf8JPwgvB48HnwefB18HXwgfCV8Kjwu/DX8QDxL/FZ8X7xovHA8dbx7fIc8nfzAfOr9Fj02/UR9Pn0yvTP9Sr1s/Yj9ln2cPaS9sn2+fcN9xL3H/c791r3c/eF95L3lfeM94T3iPeV95v3lfeV97P37Pgp+FT4bPh/+JP4nvid+Jz4tfjw+Tz5e/mW+Y75cvlW+Un5Tfld+W35c/lp+VX5Q/k/+VD5dPml+d76GvpX+pH6y/sO+2f72fxd/OD9U/21/g3+Yv6v/u7/JP9e/6f/9wA8AG8AmQDPARUBWwGOAawBwwHlAhUCSgJ+ArUC9gM/A4cDygQHBEIEdgSeBL8E5gUhBW4FvAYCBkQGjAbYBxcHOgdLB2EHjgfMCAwIQAhnCIoIrAjRCPoJJQlQCX0JsQnpCh0KRApiCogKvwr+Cy8LSAtTC2ILdwuRC7ML6Qw1DIgMzw0DDTMNbA2wDfQOKA5BDjoOHg4DDfkN+A3XDXEMzAwjC7ULnwvGC/YMEgwYDBsMIAwiDB8MKAxRDJsM5w0WDSMNLg1QDYINnQ2ODWsNYA2EDcIN9w4VDikOQw5mDocOng6rDrAOrQ6iDpAOew5kDlAORw5NDl8OeQ6bDs4PEg9ZD40Ppw/BEAMQexEIEW8RhRFaEScRGREzEVYRbRF7EY8RqxHFEdkR7xIIEhoSGRIMEgYSEhIlEioSGxIDEfAR5BHdEdsR4BHqEe8R6xHkEeMR5xHpEegR6BHuEfgR/hH9EfcR8hH1EggSMBJqEp8SsBKRElwSOxI1EhcRmRCoD3wOWQ1EDAgKmQlUCMkJMAovCyULswvqDAQMFwwYDAsMCAwTDAgLxgtgCwwK5grVCq8KbwotCfgJwgl+CTQI+AjJCJwIaAg1CAoH4QewB3kHRAcQBtcGmgZlBj4GGAXnBbEFiAV0BWMFPwUIBNAEpAR9BFMEJgP8A9YDqwN5A0oDKAMMAu0CxQKdAnsCWQIyAgsB6wHWAcEBogF6AVIBMgEaAQUA7gDWAL0ApwCTAIEAbQBWAD4AJwAUAAP/8P/Z/7//qP+a/5L/if97/2r/Xf9Y/1b/Uv9P/1T/Yv9v/3D/ZP9R/zz/If77/sz+nf53/lr+Qv4t/h3+EP4C/fT95f3X/cj9uf2r/Z/9lf2J/Xz9cv1t/Wn9Yv1T/T79J/0T/Qb8/vz5/PH85PzT/L38pPyH/G78XfxR/EH8KfwN+/b75vvW+737oPuI+3b7aPtX+0b7OPst+yH7EvsD+vn68frq+uD61vrP+sr6xvrE+sP6w/rC+sL6xfrK+s/60/rY+t/66frz+vz7CPsX+yb7L/s1+zz7SPtT+1n7Wvtb+177ZPtr+3P7f/uL+5X7nPul+7D7u/vD+8X7xvvK+8/71fva++D75vvs+/L79/v7+/78APwE/Av8FPwb/CL8Kvw2/EP8S/xO/E78UPxU/Fj8XPxj/Gz8d/yA/If8jvyV/Jv8oPyk/Kr8s/y//Mn80/zd/Of87/z2/Pv9Af0K/RX9Hv0m/Sv9Mf03/T79Rf1K/U/9VP1b/WT9b/14/X/9hf2N/Zf9of2m/aj9rP2y/bz9xv3R/d396P3v/fT9/P4I/hj+Jf4u/jT+PP5H/lH+Wv5l/nL+ff6D/oj+jv6Y/qT+rf62/sD+y/7U/tv+4v7t/vn/Bf8P/xr/K/8+/1L/Zv96/4//ov+2/8v/4//9ABIAIQAuADwASABRAFcAXgBoAHIAewCCAIgAigCHAIIAggCJAJYAoAClAKoAtgDNAOgA+wEAAP4BAgESASwBRAFVAWcBggGoAcwB5gH4AgsCIwI6Ak0CYQJ8Ap0CwQLlAw0DNQNXA28DhwOpA9UD/wQbBCsEOwRUBHYEngTLBPsFKgVWBYMFsAXXBfYGEwY1BlYGaAZlBk4GHAW5BSMEoAStBaUHZglnCyYMfw2NDl0Oyw7FDnUOGw3BDToMeQvIC44L1QwrDAULQgo9CXAJFwkeCVYJlQm+Cb8Jngl9CYMJrwncCeEJtAlsCSQI6gjACKEIhAhdCCQH4gekB3YHVgc7Bx4HAAbjBskGrwaQBmkGNwYDBdIFqAWCBVoFLAT9BNAEpQR5BE4EJAP7A9UDtQOeA48DhAN1A18DPwMUAtsClwJSAhkB9QHpAfEB+gHnAagBTQEBAOwBDgE7AUQBFQC6AEn/zf9M/tH+cf4w/gH9zP2L/Uv9IP0S/RP9Ef0C/Ov81PzA/K/8pPyg/J/8l/yB/GL8S/xF/Ev8U/xW/Fv8bPyJ/Kv8zPzq/Qn9KP1C/VL9W/1k/Xf9mv3T/h3+bP6r/s/+3v7u/xH/Sf+B/6b/tf+5/8T/2v/3ABEAIgAuADwAVQB3AJ0AvgDWAOcA9QEGARgBKAE0AToBOwE8AT0BQQFEAUYBSgFSAWEBcwGCAYwBlAGhAbcB1AHyAg4CJwJCAmECgQKfArgCzgLkAvwDFAMqAz8DVANqA34DkQOjA7QDyAPeA/cEDgQjBDYERwRZBGsEfgSSBKYEuwTOBN4E7AT8BQ4FIwU5BVEFaAV9BY0FmgWoBbgFxQXKBcgFxgXLBdMF1QXPBckFyQXMBc0FyQXEBcUFzAXSBdQF1QXZBd8F5gXsBfQGAAYPBhoGIwYrBjcGSAZZBmsGfQaTBqwGxwbjBv0HFAckBzIHQgdZB3MHiAeXB6gHwQfjCAQIHgg3CFQIjQi/CNcI2wjfCPIJDgksCU4JdAmTCZEJYAkYCOUI4gkDCSYJNQk2CTkJQwlLCU4JUglgCXUJiAmVCZ8JrQm+Cc4J3QnuCgMKFAodCh4KHgoiCicKKgotCjQKQgpTCmQKegqcCsoK+QsbCzMLUguMC94MNAxtDHoMYgw4DBIL/Qv9DBEMMwxbDIgMvQz8DT8Ndg2RDYwNcw1TDTMNFwz8DOIMyQyyDKMMnwyoDLcMyAzWDN0M1wzBDKMMjgyKDJAMiwx5DG8MiQzKDQ8NMA0jDPsM0wy/DMgM/A1aDcoOIQ5FDj4OJQ36DaUNHAx7C/MLnwtuC0ALBwrGCnsKFAmQCQYIlwhPCCEIAAftB+wH8QfpB9IHwQfGB9UH0wexB3MHIga9BkgF1gWDBVoFSgU7BSgFFAUGBPwE9wT7BQYFEAUTBRUFHwUwBT0FRQVRBW4FkQWlBaEFlwWpBeQGOgaQBtIG+QcHBwcHBwcNBxAHBAboBsgGsQahBo8GeAZhBksGLgYEBdMFqwWSBYMFdQViBUsFLwUQBPcE6wTtBPYFAQUSBS0FTQVoBXcFfwWDBYIFeAVsBWYFZAVaBUEFJgUXBRMFCwT5BOwE8QUBBQkFBwURBTcFbAWSBZ4FngWgBZcFcgU9BRoFHwU4BT8FIwT1BM8EtASWBG4ERQQmBBIEAgP1A+wD5wPfA9ADwQO4A7IDpQOQA3kDZQNWA0MDKwMOAvIC1wK8AqEChQJoAksCLwIUAfcB2QG5AZwBggFnAUcBIwEBAOUAygCpAIIAXgBCAC4AF//5/9X/sf+P/2v/P/8N/tv+rf6A/lD+HP3n/bT9hP1T/SD86/y4/IP8TPwT++L7vPuf+4H7W/sv+v36xvqL+lH6Hvnz+c/5rvmP+XL5Uvks+P/4z/ih+Hj4Uvgv+A/38/ff99f32PfY98r3pPdu9zX2/fbB9nn2MPX29dD1sfWH9Ur1BfTB9IT0S/Qa8/jz6PPl8+Pz1vO885vzfvNs82HzUfM18xHy8fLX8rvyl/Js8kXyJvIR8gTyAfIE8gTx8fHK8Z3xd/Fe8UjxL/EV8QTw/fD98QDxAvEE8QfxCfED8PHw1/DD8MPw0fDZ8NDwwfDA8Mzw0/DF8K3wpfCy8MDwuvCk8JTwkfCP8ILwcfBq8GzwbvBr8G3wfPCT8KbwtfDN8PPxH/FH8Wzxk/G38c/x3fH08i7ymPMu8930ffTc9OD0qPSC9K/1KvWz9hL2RfZt9pz2xfbY9tr24Pb49x33Qvdg93T3dfdl91T3UPdb92X3Yvdg93P3n/fU9/34G/gz+ET4Q/gz+C34Uvim+Qn5UPlk+VD5Mfkd+Rz5K/lD+Vr5ZPlZ+T35HvkO+Rn5Pvl0+bD57Poj+ln6kvrZ+zf7rvwz/LP9IP17/dH+Jv5z/rH+5P8c/2L/rf/qABAALgBcAKMA9AE4AWYBiwG0AeoCJwJjAp0C1wMSA08DkwPiBDYEfwSuBMYE3AUHBU0FnAXlBigGbQa1BvEHFAcmBz4HbAerB+YIEwg2CFoIggirCNAI8QkUCT0JcQmqCeAKDAoxClwKkwrMCvULCQsTCyALNQtTC34LwAwYDHMMuwzsDRcNUQ2aDeAODQ4aDgkN6w3RDcANpQ1gDOEMQgu7C3oLfgugC7cLugu5C78LyAvKC84L7Qw0DJAM1gzsDOAM3Qz9DS8NTA1EDS4NLw1VDY4Nvw3iDf0OGQ4zDkgOWQ5oDnIOcA5hDksONQ4kDhoOGg4mDjkOUA5uDpsO2Q8aD0sPag+ND9IQPBCtEPkRChD0EOIQ6xELESwRQBFPEWIRfBGUEasRwxHdEfAR9hH1EfgSAhIIEgER7RHVEcIRtBGtEbARvBHIEcsRxRHAEcMRyhHOEcwRyxHREdwR5hHoEeUR4BHkEfsSLRJtEp0SnxJ0EkASJhIcEd8RLxARDskNlAxuCykJ0gjTCKgJXQp3C1wLzQv1DAsMGQwPC/oL+wwSDA4LxAtKCuIKswqkCocKSwoFCcgJkglXCRsI5gi2CIMITQgeB/gH0AeeB2gHNAcBBsYGhAZOBisGDQXgBaoFfwVsBV0FPQUHBM4EogR8BFMEJgP7A9UDqwN7A0wDKAMKAukCwQKZAngCVwIwAgYB4gHKAbYBmwF3AVIBMwEaAQMA6wDUAMAArgCaAIQAbgBXAEEALQAZAAf/9P/e/8f/s/+m/5//lv+H/3P/Yv9Z/1X/Uf9Q/1b/ZP9z/3X/av9X/0L/Kf8H/tv+rv6H/mf+TP41/iD+Df36/ej92f3M/b/9r/2d/Yv9e/1s/V39Uf1J/UX9Qv07/S/9Hv0L/Pz88vzp/N78zvy8/Kj8k/x//G/8Zfxd/E78N/wd/Af79fvh+8n7sPuc+4/7g/t1+2X7VvtJ+zv7Kvsc+xD7Bvr5+uv63/rW+tD6y/rJ+sn6yfrJ+sj6yPrL+s/60/ra+uT67/r4+v/7CPsV+yT7MPs3+z77SPtS+1j7W/te+2P7aPtu+3X7f/uI+4/7lPuc+6j7tfu/+8L7w/vE+8j7zvvS+9b72fve++X77Pvw+/P79fv8/AX8DvwT/Bb8HPwn/DX8PvxA/ED8QfxF/Er8UPxX/GD8afxy/Hj8fvyG/I38lPyY/Jz8ovyr/Lf8wvzM/NT83fzl/Oz88Pz0/Pz9Bf0P/Rf9Hf0i/Sn9MP02/Tr9Pv1D/Uv9VP1d/WT9bP12/YL9jP2S/Zj9nf2l/a79uP3D/dD92/3i/eX96v32/gf+Ff4d/iD+J/4x/j7+Sf5W/mP+bv50/nb+ev6E/pL+nf6m/q7+uP7D/sz+1f7f/ur+9P78/wb/F/8t/0T/Wf9s/33/j/+h/7j/1P/yAAwAHQAoADEAOABAAEcAUABbAGYAbgB0AHgAegB4AHUAdgB9AIgAkACXAKAAsADHAN0A6gDsAOwA9gELAScBPwFRAWIBfAGgAcMB3gHyAgMCFgIqAkACWAJ3ApoCvgLjAwoDLQNIA14DdwOcA8gD6wQABAoEGgQ2BF4EjQTABPMFIwVQBXoFnwW+BdoF+gYdBjsGRwY/BiYF8AWEBOwEdwSkBbkHhQmBCz0Mng2zDnMOvQ6VDjwN7A2SDPMMCws/CwILVAuxC48K1gnrCUQJDAkhCUwJbAl4CXMJbgl9CasJ3wn1CdcJkglFCQIIzwipCI0IcghLCBEHzgeTB2gHSQcqBwgG6gbTBsAGrQaQBmYGMgX8Bc0FqAWHBWMFOgUSBO4EywSmBHwEUAQlA/kD0AOsA5EDgANzA2ADPQMIAsQCfgI/AgwB5AHGAbIBogGHAVoBJwEJARIBMwFIATcA/wCxAFL/3v9Y/tX+cf41/gn90v2L/Uj9If0b/SX9KP0a/QH85vzP/L78tfyx/K78ofyF/GD8QPwz/Dj8RvxV/GX8ePyQ/Kz8zfz0/R39Q/1e/XH9gv2Z/bj94/4h/nL+yf8K/yf/Kf8y/1r/nP/c//3/+//q/+D/6QABABwANABHAFsAdwCZALwA2ADqAPcBBgEcATgBUAFgAWUBZQFkAWcBbwF4AYEBiQGRAZsBpgGwAbYBvAHGAdkB9QIUAjECTQJqAogCpwLEAtwC8AMFAxsDMgNHA1sDbwODA5cDqgO8A9AD5QP7BBAEJQQ6BE4EYQRzBIMElASnBLoEzgThBPEFAgUUBSkFPgVVBW4FiAWgBbMFwQXPBdsF4wXiBdsF1wXZBd4F3AXUBc0FzQXPBc4FyAXFBcoF1AXaBdoF2gXfBecF7gXzBfkGBAYRBhsGIQYqBjgGSgZcBmwGfgaSBqkGwwbeBvkHEgclBzUHRgdcB3IHhAeTB6kHygftCAYIFQgqCF0IpQjhCPwI/AjyCOsI6gj2CSIJcAnACd0JqglDCOcIyAjiCQwJJgkrCSkJKwkvCTQJPQlNCWIJdgmHCZcJqQm7CcsJ2gntCgMKFAocCh0KHgoiCiUKJAoiCicKNQpJCl0KdAqUCsAK7wsWCzELTgt/C8cMFAxODGMMWAw7DBsMBAv/DA8MLgxRDHQMoQzjDTkNiQ23DbgNmg10DVMNPA0pDRsNDQz8DOgM1gzPDNQM3wzrDPEM7QzcDMQMswyxDLUMqwyQDIAMnQzrDUINcQ1mDTYNBwzvDPkNLA2DDd8OFQ4QDeMNsQ2BDToMxww+C80LjgtrC0MLAwqyClEJ3AlXCNsIhghbCEcIOwg3CDsIOggnCAcH8gf3CAYIAQfeB6UHXQcABosGEwW5BYsFewVwBV8FTgVEBT8FPQVABUgFTwVTBVcFYQVuBXkFgwWaBcAF5wX5BfUF9QYYBmEGvQcPB0oHbAd6B3sHewd+B3oHZQc+BxUG+QbnBtEGsgaMBmcGQQYXBfAF1QXJBcEFtQWkBZEFfQVlBU8FQgVCBUkFUgVhBXkFlgWsBbgFvgXGBc4FzwXJBcQFwAW0BZwFggV2BXUFcwVoBV0FXwVpBXEFdgWIBbMF4wYABgAF9QXpBdQFqgV2BVYFVwViBVgFNAULBO4E1gSzBIQEXARGBDsELwQgBBYEEwQQBAYD+gPxA+oD2wPEA6wDmwOOA3sDXwM/AyEDBwLuAtICtgKZAnwCXwJCAiUCBgHnAcwBtAGbAXsBVgE0ARkBAADfALkAlQB7AGcAUQAyAA//7//R/67/gv9Q/yD+9/7N/p7+af4z/gL90/2h/Wr9Mfz7/Mb8kvxe/DL8Dvvw+8/7p/t3+0L7CvrR+pn6Z/o8+hj5+fnc+b35mflt+Tv5Dfjl+MT4pfiE+GP4Qvgo+Bf4EfgN9/332/eu94H3V/cn9uj2n/Zc9ij2APXT9Zf1TfT/9Lj0gfRc9Ef0OfQp9BTz+vPf88fztfOr86LzkfN181HzLvMP8uvyvfKN8mbyT/JA8jPyJfIc8hLyAPHi8b7xnfGC8WbxSfEu8R3xF/EV8RTxEvET8RrxHvET8PPwyvCy8Lnw0PDV8L3wn/CZ8K7wvfCx8JXwjPCf8LTwsPCX8IHwefB18GjwWvBZ8GLwaPBk8GXwdPCN8KLwsvDI8OrxEPEx8VLxefGj8cHxz/Hb8fryO/Kl8zvz7PSB9L/0m/RW9Ez0qfVC9c/2JvZV9nj2l/ap9q32s/bI9uz3Ffc49073UfdC9yz3Ivcp9zf3QfdH91X3cfeT97T30ffo9/L35ffN98/4Cfh0+N/5GfkY+Pn44fjh+PH5Bvkc+TD5Ovkw+RH46vjU+Nz5BPlA+YD5vPny+ib6X/qm+wT7efv8/Hr86f1G/Zv97P41/nD+oP7V/xb/Wf+N/6r/wf/oACsAfgDMAQsBQAF4AbkCAgJJAocCuwLpAx0DZwPKBDkElwTMBNgE2ATrBR8FaQW0BfsGQAaEBr0G4gb6BxcHRAd+B7UH3wgCCCYITQh1CJkIugjdCQUJNQlrCaEJ0gn9CisKYAqUCrsKzgrUCtkK5wsGCz0LkQv6DGEMrwzhDQoNQA2DDcAN4Q3iDc8NuQ2nDYgNQwzIDCkLmAtGCz4LWgttC2cLXAtkC3wLjQuKC4oLsgwKDGwMpQyiDIMMeQyaDNAM9Qz+DP8NEA02DWENhw2oDcoN6g4CDhAOGw4oDjMOMQ4jDhAN/w30De4N8Q38Dg4OJQ5CDmwOog7YDwIPJQ9XD6oQEhBrEJYQlRCHEIwQrBDWEPcRDREhETcRThFmEX0RlhGrEbgRvxHKEd0R7xHzEeMRxhGnEY8RfhF3EX4RkBGfEaQRoRGgEaURqxGuEa0RrRGyEboRwxHJEcsRzBHUEfISKhJrEpEShRJUEiYSEhH7EZ8Qyw+RDjIM3QuRCj8JFAh3CLMJogq6C4AL3AwCDBsMIQwIC+wL+AwjDCkL1gtBCrsKeApnClMKIQneCZ0JZQkvCP0IzgidCGYIMAgFB+EHtgeAB0cHFwboBq8GbQY3BhgF/gXSBZYFZQVQBUgFMgUCBMkEmgR0BE0EIgP4A9MDrQOCA1cDMAMMAuYCvAKVAnUCVgIvAgMB3AG+AagBjwFyAVMBNAEXAPoA4ADMAL0ArACYAIAAagBYAEgANgAjAA//+v/m/9P/wv+1/6v/of+P/3r/Zf9Y/1P/Uv9V/13/aP9x/3D/Zf9T/z//J/8H/uD+t/6S/nP+WP4//if+Dv31/d79y/29/bH9of2M/Xb9Yv1R/UP9Nv0q/SD9Gv0X/RP9DP0B/PT85/zZ/Mr8u/ys/J/8kvyF/Hf8a/xd/E38Ovwm/BT8Avvt+9b7wPux+6b7mvuL+3v7a/tb+0r7Ofsr+yD7E/sD+vP65/rf+tj60vrP+s/60PrO+sn6xvrH+sv60vrc+ub68Pr2+vz7BPsT+yT7Mfs6+0D7SPtQ+1j7X/tm+237c/t4+377h/uQ+5X7mfuf+6r7t/vC+8b7x/vH+8r7zvvS+9X71/va++D75vvp++v77fv1/AD8CfwM/A38Efwa/CX8Lfww/DH8NPw5/D/8R/xO/Fb8Xfxj/Gj8bfxz/Hz8hPyL/I/8lfyd/Kn8tPy8/MH8yPzR/Nr83/zi/Ob87vz4/QH9B/0M/RP9G/0i/Sf9LP0x/Tf9Pv1E/Uv9Vf1g/W39d/1//Yb9jv2W/Z39pf2w/bz9yP3P/dL91/3j/fX+BP4L/g7+E/4f/iz+OP5D/k/+Wv5h/mP+Zv5v/nz+h/6P/pf+o/6x/r3+x/7R/t3+5/7v/vn/CP8e/zf/TP9d/2z/ff+P/6X/wP/e//kADgAbACQAKwAxADgAQQBLAFYAXABfAGAAYQBkAGcAbQBzAHwAhgCSAKEAswDDANAA1gDZAOAA7wEFAR8BNwFMAWEBeQGXAbYB0gHoAfoCCgIcAjECSwJqAo4CtQLdAwMDIAMzA0QDXwOHA7ID1QPqA/kEDQQsBFMEgQSyBOQFFAVABWcFhgWgBboF3QYDBh8GJgYcBgMFywVbBMQEZQS3Be0HxAm2C2QMuw3FDmwOlQ5TDfENnA0wDGsLXAp7CjoKjwrzCuQKWAmwCUoJNglGCUwJPwkwCTQJWgmhCe0KFgoACbMJVAkGCM8IpwiFCGcISggjB+wHrgd5B1EHMQcSBvMG2wbNBsIGsgaUBmgGMgX9BdEFsQWWBXgFVgU1BRcE/ATcBLgEjwRiBDMEAwPZA7kDpQOWA4ADWgMhAt0CnAJlAjYCBwHXAagBgAFaATQBFQEOASEBPAFCASUA7gCoAFL/4f9a/tn+ev4//g/90f2E/UD9HP0Z/ST9K/0j/Q/8+Pzh/NH8yfzH/MX8uPya/HD8Svwz/DL8QfxY/G/8hvyb/LT81f0A/TD9Wv13/Yz9o/3F/fD+Jv5q/sD/Gv9d/3v/fv+I/7D/8gAwAE8ASgAwABkAEgAcADIASwBiAHkAkwC1ANgA9QEHARMBIgE7AV0BfgGUAZsBlQGLAYcBjgGeAbIBwQHLAdEB1QHaAeIB6wH5AgsCJAJAAl4CegKUAq8CywLlAvwDEAMjAzcDTQNiA3UDiQOcA7ADxAPYA+wEAQQVBCgEOwRRBGcEfASQBKEEtATIBNwE7wUABREFJQU6BU8FYgV1BYoFogW6Bc4F3gXsBfcF+wX2BesF4gXiBeUF5AXfBdoF2gXbBdgF0QXOBdMF2wXeBd0F3QXkBe8F9gX5Bf0GBwYSBhsGIQYrBjsGTgZgBnAGgQaVBqsGvwbWBu8HCQcfBzAHPwdQB2MHdweQB7MH2Qf3CAUIDAglCHQItwjpCQIJCAkCCO8I1wjWCQ0Jfwn1CiQJ5gliCOgIuAjPCQAJHgkgCRgJFAkZCSIJLglACVUJaQl7CY8Jogm0CcMJ0gnmCf4KEwoeCiAKHwofCh4KGgoXChsKKgpBCloKcwqTCrsK5wsNCygLQAtjC5gL1QwKDCoMNgwxDCEMDQwDDA0MJwxEDF0Mfwy9DRoNeQ22DcENqQ2JDW8NXQ1ODUENNg0rDRwNDg0GDQYNCg0MDQoNAQzyDN8M1AzYDOEM2gy9DKQMtAz4DUwNgA18DVUNLg0cDScNUw2ZDd4N+g3cDZcNUg0bDN0MhAwcC8ULjgtkCygK0QppCfYJegj8CJcIYghbCGYIcAh0CHQIaQhPCC8IIQgsCD8IPQgeB+kHogdCBscGSgXtBb8FrgWiBZIFhQWCBYMFgwWDBYcFjwWWBZwFowWqBbIFwwXkBhAGNAZBBkQGWwaaBvUHTweTB74H2AfjB+QH4gfiB9kHvgeSB2cHTAc7ByMG+gbGBpMGZgZABiMGEgYJBf8F8AXgBdQFyAW1BaAFkwWUBZ0FpgWvBb4F0gXiBesF9gYIBhwGJQYjBhwGFwYPBf4F6gXfBdwF2AXNBcEFwAXJBdYF5wYFBi8GUgZbBkkGMQYcBf4FzgWaBXsFeAV5BWMFOwUZBQgE+ATUBKMEfgRwBG4EZwRaBFIEUQROBEEEMAQjBBsEDgP5A+IDzwO+A6cDiQNqA1ADOAMeAwIC5gLKAq4CkQJzAlcCOQIaAfwB4gHHAakBhgFkAUgBLwESAPAAzwC0AJ0AhABmAEgALAAR/+3/wP+Q/2X/QP8Y/uj+s/5+/k7+Hv3q/bH9d/1A/Q383Pyt/IH8W/w4/BP76Pu2+4H7TPsY+uf6uPqL+mX6Rfop+gn53/ms+Xn5Tvku+RP49vjS+Kz4h/hr+Fr4UPhE+C74C/fj9773m/dx9zj29Pay9nn2S/Yc9eP1nfVR9Q704/TS9M30wvSn9IP0YPRE9Cz0FPP/8+zz1fO1847zZPM78xDy3vKr8oLyafJa8k/yQvI08iXyEvH58d/xxvGq8YfxYPFA8S/xLvEx8S7xJvEh8SXxKfEb8PHwwPCm8LTwzvDN8KTwd/Bv8I7wqPCe8H3wcPCD8J3wnPCD8GvwYvBe8FPwR/BJ8FjwYvBf8F3wavCC8JnwqvC/8N7xAPEc8TjxXPGF8aXxtvHC8dbx+PIy8p/zSfQG9ID0f/Qr8/X0MvTW9Yr2AvY49lH2aPZ+9or2kfaf9rr22/b59w33FPcN9v/29/b+9xH3Jvc490b3Vfdn93n3jPea95j3hfd395P36/hj+MD43PjA+Jv4k/ir+Mz44/jx+P75Bvj8+Nv4sfiX+J/4zPkL+U75ifm/+fX6Mfp6+tX7RPvC/EH8tf0X/Wr9tP3z/ij+Vf6F/r3+9f8h/0D/Xf+L/88AIQByALoA+gE7AYIBzwIdAmICmQLJAwMDWwPRBE8EsQTdBNgEwQS/BOQFKAV5BcYGDwZSBosGtwbYBvYHGwdFB28HlAe1B9UH9ggZCEEIbwihCNEJAAkzCWsJownVCgAKLApZCn8KlQqZCpcKoArDCwQLZAvVDEEMlgzRDQANMw1qDZYNpQ2XDYANcQ1mDT0M1AwqC3QK+ArbCwALJgsiCwYLBQs4C34LowuVC3oLiQvPDCQMTwxCDCAMGQw9DHUMowy/DNcM+Q0fDT0NUw1pDYcNqA3ADc8N3A3pDfMN8Q3lDdgNzQ3FDbsNtw28Dc0N5g4HDjMOZw6XDrkO2w8VD3UP4xAzEEkQNxAnEDgQZBCTELUQzRDjEPsREREnEUERXBFuEXQRehGREbcR2hHjEc0RphGAEWMRUBFJEVERYRFxEXcRdxF4EXoRfhGCEYYRjBGTEZgRnhGlEawRsRHAEecSJhJjEnsSYRIuEggR9RHMEVAQYg8XDaIMJAqrCVcIcAhHCOkJ/Ar7C5cL3wwJDCcMIgv2C88L3gwUDCML0gs4CqIKSQonCg8J5wmwCXcJQAkNCN4IswiDCEwIFgfrB8YHmAddByQG9wbPBpkGWAYiBgMF6QW5BXQFOQUjBScFIAT9BMYEkwRrBEcEIAP2A9ADrAOHA18DNgMMAuECtwKSAnMCVAIvAgUB3AG5AZ0BhAFtAVMBNQERAO4A0QC+ALEAowCQAHsAaABZAEwAPgArABYAAf/u/93/zf+//7P/pv+W/4H/a/9a/1L/VP9c/2X/bP9s/2X/WP9J/zj/Iv8G/uT+wP6e/n/+Y/5H/iv+D/3y/db9vv2q/Zr9h/1x/Vr9R/05/S79If0T/QT8+fz0/PP88/zv/Of82/zM/Lv8rPyg/Jf8kPyH/Hv8a/xY/EX8Nfwn/Br8Cvv2++H70PvE+7j7qfuX+4b7dftk+1L7Qvs2+yr7HPsL+v368/rs+uX63frZ+tn62frW+s/6yfrJ+s761fre+uf67/r1+vz7B/sY+yr7OPtA+0b7TftW+2D7avt0+3z7gPuD+4f7kPuZ+6D7pfuq+7L7vfvH+8z7zvvN+8770fvV+9f72fvc++D75Pvl++T75fvt+/f8APwE/Af8DPwT/Br8H/wi/Cf8K/ww/Db8PPxE/Ev8UPxU/Fn8Xvxk/Gr8cvx7/IP8ivyS/J38qPyv/LH8tfy8/Mb8zvzS/NX83Pzl/O388/z4/P/9B/0P/RT9G/0i/Sn9L/00/Tr9Q/1O/Vn9Y/1s/XP9ev2B/Yn9kf2b/af9s/29/cP9yv3W/eb98/36/f3+A/4P/h3+J/4u/jj+Q/5M/lD+VP5c/mn+c/56/oD+jP6c/qv+tf6+/sn+1f7g/uv++f8O/yX/Of9K/1v/bf+C/5b/rP/D/9v/8gAEABIAHQAlACoALwA3AEEARwBIAEYARgBMAFYAYABpAHEAfACMAJ8ArgC3ALsAvwDIANUA5QD3AQsBIwE9AVcBbwGGAaABuwHUAekB+wIPAiYCQgJjAokCtQLhAwUDGwMnAzYDUQN4A6ADwgPcA/UEEAQwBFMEfASnBNME/AUjBUcFZwWDBaMFzAX3BhIGFgYKBfEFtQU/BKsEYQTWBikIBAnhC3EMsQ2pDjwOTQ33DYQNGwyRC64KjgmsCW8JwwonCjAJ4wmOCW8Jegl+CV8JLQkPCSQJcAnaCjIKSAoLCZgJJAjSCJ8IeAhUCDIIEQfqB7gHgQdRBysHDQbyBt0G0AbKBsMGswaWBmsGNwYCBdYFuAWhBYsFdgVgBUoFMwUXBPgE1gSvBIMEVgQuBA8D9wPhA8QDmQNhAyEC5QKxAoECTAIPAdABmAFoAT8BIgEcASsBOwE1AQ0AzAB+ACH/sP8x/r3+av4y/f/9vv10/Tb9FP0N/RP9Gf0a/RP9Bfzz/OT82/za/Nn8zvy0/I38ZfxL/EP8Tvxi/Hn8jfyg/LX81v0E/Tv9bP2Q/an9w/3m/hb+UP6Z/vD/Sf+S/7v/zf/fAAMAOABsAI4AlgCKAHMAXQBQAFEAXgBxAIYAoADAAOUBBQEcASsBPAFWAXwBpgHHAdUBzQG4AaUBpAG0Ac4B5QHyAfcB+QH/AgwCHQIxAkUCWwJ0ApACqwLDAtgC7gMGAxwDMANCA1UDawOBA5cDqwO/A9MD5wP6BA8EIwQ2BEkEXARxBIcEnQSyBMUE2QTuBQMFFAUkBTUFSgVgBXQFgwWRBaEFtwXNBeIF8wYABgoGDAYEBfcF7AXpBesF7QXsBeoF6gXoBeMF3QXaBdwF4AXgBd8F4gXqBfMF9wX6Bf4GBwYQBhYGHAYmBjgGSwZeBnEGhgadBrEGwgbTBukHAQcWByQHLwc9B1IHbQeRB7gH2wfyB/4IDwg2CIUIqQi/CM8I3wjnCNgIuwi5CP0JgQoCCi4J5QlaCOIIuQjTCP8JFQkOCQEI/gkGCRUJJgk6CU8JYwl1CYcJmQmqCbkJyAncCfYKDwofCiMKHwoaChUKEQoPChQKJAo9CloKdwqWCroK4QsECx8LMQtFC2ELhQuvC9sMBAwgDCYMGAwGDAQMFwwxDEkMZQyZDOsNQw2ADZQNjA2ADXsNdw1sDVwNTw1JDUgNSg1NDU8NTA1CDTQNJQ0VDQcNAQ0JDRcNFAz5DNgM1g0DDUcNeQ2CDW4NWg1XDWkNkA3FDfIN9w3FDXANHAzcDKYMZwweC9cLlAtICuUKcwn+CYwJGQitCGIISwhgCIIIlwicCJQIhAhrCFUIUghlCHsIfQhhCCsH3QdxBu8GdQYfBfUF4wXTBcEFuAW7BcIFxAXDBcYFzgXYBeAF4gXkBe0GBgYvBlsGeAaGBp0G1gczB5gH5AgOCCUIMwg6CDoINggyCCgIDQfjB70HpweaB4AHUAcSBtYGpAaABmcGWQZPBkEGMAYjBh0GFgYGBfAF4wXmBfAF9QX2BfkGAwYPBh0GLwZJBmMGcQZwBmwGbAZtBmgGXQZSBkgGOwYrBiAGJAY2Bk0GZQaDBp8GrAaeBoEGaAZWBjgGAwXJBaUFngWYBXsFUQUyBScFGwT5BMoEqgSjBKgEpQSaBJIEkQSMBHkEYQRRBEkEPwQsBBMD/APmA84DsgOZA4IDagNOAzADFAL7AuACwwKnAowCcQJRAi4CDgHyAdYBtAGSAXQBWwFCASUBBgDpAM4AsgCXAH4AZgBLACf/+//P/6n/hP9a/yv++f7I/pj+Zf4u/fT9u/2F/VP9JPz3/Mv8oPx3/E38IPvv+7v7i/tf+zX7Cfrc+rH6kPpz+lH6I/ns+bn5k/l3+Vz5OvkO+OD4u/im+J74m/iR+Hf4T/gj9/n30Peh92v3MPb09r32ivZa9ib16vWq9XX1WvVZ9V/1U/Ux9Qb05fTO9LX0kvRp9ET0IfP288HzhvNP8yDy9fLL8qXyiPJ28mryYfJU8kDyJvIM8fjx5/HP8afxdvFO8T7xRPFM8UfxNPEg8RrxHPEQ8OnwuPCf8K3wxvC/8I3wW/BY8ILwp/Cd8HPwWvBm8H7wf/Bq8FfwVfBW8E3wQPBB8E/wWvBZ8FbwYvB48I3wnPCu8Mzw7fEI8SHxQPFk8X/xkfGk8b3x1/H18jvyzfOT9C/0TPP486rz0/R99Uv12PYQ9iH2N/ZX9m32dPZ49ob2m/av9rz2xPbI9sr2zvbb9vH3C/ch9zL3PvdH9033T/dK9zz3Lfc593j36Phe+KH4nPht+Er4U/h7+KL4t/jD+M/42fjO+Kr4fPhh+Gz4nPje+R/5WfmO+cX6BPpM+qL7CfuA+/78dvzc/S79cf2n/dX9/v4n/lP+ff6l/s3+//9A/47/4QAzAIEAyQENAVEBmQHkAi4CbgKqAvUDXgPhBF8EsQTEBKgEhAR9BKQE7gVFBZcF4QYiBl4GkQa6BtgG7Ab9BxEHKwdIB2MHeweZB8gICQhPCI0IwQj3CTgJfQm2Cd4J/QoeCkEKWgplCmkKeQqjCukLRAunDAcMWgyfDNkNEA1DDWQNYw1EDR8NCQz8DM0MUwuXCt4KewqFCsMK4wrJCqYKxQszC7EL7AvLC4YLZguHC8QL5wveC8cLygv0DC4MYgyJDK8M2g0BDRkNJQ0uDUANVw1uDYMNmA2rDbUNsA2lDZwNlg2NDX0NcA1yDYQNnw3BDe0OIw5WDngOkw7HDyQPlQ/oD/8P7A/dD/MQIxBTEHQQihCfELMQxBDYEPURFBEoES4RNxFYEZARwBHNEbMRhRFcEUERMRErES4ROBFBEUURRhFHEUgRTBFSEV4RbBF1EXoRgBGIEY8RlxGsEdsSHhJUElwSNhIGEekR1RGTEPAP4A6ADPELTgm8CIAH8gg/CTYKWgs2C6sL4wwPDCsMGwveC6gLqAvRC+ALpAsqCqcKRQoECdEJogl2CUwJHgjtCMEImghuCDcH/gfQB6gHeAc+BwcG3Qa4BoQGRAYMBeoFzQWZBUwFCgTyBP4FCQTzBMIEjQRlBEUEIQP3A8wDpQOAA1oDLwMDAtgCsgKRAnQCVAIxAgoB4gG7AZgBfAFmAVIBNQEQAOgAxwCxAKQAmACKAHsAawBcAE0APgAtABoABf/y/+H/0v/D/7T/pv+a/4r/dv9j/1j/Wf9j/2z/bv9n/1n/Sv87/yz/Gf8C/uf+yf6r/oz+a/5L/iv+DP3u/dH9tP2a/YP9bf1X/UP9M/0m/Rr9Dfz//PD85Pzc/Nn82fzZ/Nb8z/zD/LT8o/yU/Ir8g/x9/HX8Z/xU/EH8Mvwm/Bn8Cfv1++T71/vM+777q/uY+4f7d/tm+1b7SPs++zP7JPsW+wr7A/r8+vL66Prj+uP65fri+t362PrY+tz64frn+u769fr8+wf7FPsk+zT7P/tH+077Vvtg+2v7ePuD+4r7jPuM+477k/ub+6P7qfuw+7j7wfvJ+8770PvQ+8/70PvT+9b72fvd++D74vvh+9/73/vl++379Pv4+/78BfwM/BD8E/wX/B78JPwn/Cv8MPw2/Dv8P/xF/E38Vfxa/F38Yvxs/Hb8fvyF/I78mfyh/KX8pvys/LX8vfzD/Mj8zvzW/N384/zp/PD89/z9/QL9Cv0V/R79Jv0r/TH9OP1A/Un9Uv1a/WH9Z/1t/Xb9gP2L/Zb9ov2u/bj9wf3K/db94P3m/er98f39/gn+Ef4X/h/+Kv40/jv+QP5K/lf+Yv5m/mr+dP6F/pX+n/6m/rD+vf7L/tj+5/77/xH/Jf82/0n/YP92/4n/mP+o/7v/0f/m//kACAASABYAGAAcACUALgAzADIAMQA3AEQAUQBcAGQAbgB9AIwAmACfAKMArAC7AMwA2gDnAPgBEAEtAUkBXwF0AYsBpgHAAdcB7QIEAh8CPwJiAowCugLmAwMDEQMZAygDRgNrA48DrwPQA/EEEgQyBFMEeQSgBMME4gUBBSQFSAVtBZcFyQX4BhUGGAYMBfIFsQUxBJwEYQTyBlkILQnsC1cMeg1iDekN7g2JDQQMhgvqCwEJ7gkgCO0JOAmVCbEJmAmKCaMJxAm9CYcJRgkpCUwJqQoZCmkKawoXCZQJFgi7CIAIUggpCAIH3Ae0B4QHUwcmBwEG5QbRBscGxAbBBroGqwaTBnAGQwYQBeEFvwWpBZsFkQWIBXoFZQVLBTAFFQT4BNcEtASTBHYEWQQ6BBUD5gOvA3EDMwL6AsUCigJIAgQBxwGVAWoBSwE7AToBNAEVANUAfgAd/7X/R/7a/n3+PP4O/d/9pv1p/TX9Ev0A/Pr8/P0E/Qn9B/z7/O785fzj/OT83vzK/Kn8hPxo/Fz8Yfxx/IP8lPyk/Lj81/0G/T/9eP2k/cL93P38/in+ZP6t/wH/V/+j/9sAAQAfAD4AYgCJALAA0QDiANoAvwCdAIYAgACJAJkAsADMAO0BCwEjATYBSgFlAYsBugHnAgAB/AHiAcYBuwHGAd8B9wIGAg4CFAIfAjACRgJeAnUCjAKkAr8C2QLvAwEDFAMpAz8DUwNlA3kDkQOpA8ED1gPpA/0EEAQiBDUESQRfBHMEhQSYBKwEwgTXBOoE/QURBSMFMwVBBVIFZQV7BY0FmgWmBbUFyQXfBfUGBgYTBhsGHAYTBgYF+QXyBfEF8wX0BfMF8AXtBekF5gXlBeUF5AXjBeQF6QXuBfEF8gX1BfsGBAYKBg0GEwYeBjEGRQZZBm8GiAaiBrcGxwbXBusHAAcRBxwHJgc1B00HbQePB7AHygfgB/oIIAhSCHAIbQhoCHMIjAicCJQIhAiXCOwJbgnXCecJmAkjCNIIxgjmCQQJBwj2COkI6gj2CQcJGwkxCUgJWwlpCXcJiAmcCa4JvQnPCecKAgoXCh8KHAoTCgwKCQoKChEKIgo9Cl4KfQqbCroK3Ar+CxkLKgsyCzYLQAtcC44LzwwLDCkMIwwLC/0MBwwiDD4MWgyADLYM7w0ZDS4NOw1RDXANiA2MDYANcQ1tDXQNhA2UDZwNlw2GDXENXQ1LDT0NOA1ADUwNSw00DRINBQ0dDVANfg2TDZUNlA2fDbgN3Q4EDhcN/w22DVIM9AyyDIUMXAwoC+ILhQsQCowKDgmjCUYI6wiXCF4IVgh0CJsIsQizCKoInAiNCIIIhQiWCKcIqAiOCFcH/weLBwkGmQZPBisGGAYEBfEF6gXwBfsGAAYABgMGDAYWBhwGHgYgBi4GTgZ6BqEGuQbQBwIHXgfRCDEIZQh1CHkIgAiECIEIeQhzCGkIUggvCA8H/QfvB9EHmwdZBxoG5wbCBqkGmgaPBoMGdQZsBmoGZgZXBkQGOQY7BkAGPAYxBiwGNAZFBlkGcAaKBqMGsga2BroGwQbJBsoGxQa7Bq4GmwaKBocGmwa7BtgG6wb3BvsG7wbSBrUGqganBpAGVQYMBdoFygXBBaQFeAVYBUwFQQUiBPkE3wTeBOUE4gTUBMoExgS+BKkEkAR+BHYEbARZBEAEJwQRA/oD4gPMA7YDnAN+A18DRQMvAxQC9QLXAr4CpQKFAmACPAIfAgMB5AHCAaQBiwF1AVsBPAEcAP8A4wDLALQAngCBAF4ANwAQ/+v/xP+X/2n/PP8Q/uD+qf5v/jX9/v3I/Zb9Z/08/RH84/yz/IX8V/wn+/f7yvuj+3/7Vvsn+vr61/q5+pb6Zvou+f352vm/+Z/5dPk/+Qz46fje+OX48vjx+Nv4r/h5+D34APfE94r3VPch9uv2s/Z/9k32GvXk9bb1nfWa9Zn1hPVb9TX1IvUe9RL08vTF9Jj0bfQ48/LzovNb8ynzCPLt8tDysvKa8ozyhfJ68mLyQPIg8g3yAfHr8cHxivFf8VLxXfFp8V/xPPEV8QDw/vD58N3wsvCY8KLwuPCw8ILwVvBa8Ivws/Cn8HTwTvBP8GLwY/BR8ETwS/BV8FHwRPBA8EvwVfBV8FTwX/B08ITwjfCc8Lfw1/Dx8QjxJPFC8VnxaPGA8abxzPHp8hvykPND8+D0CvPA83HzmfRJ9SL1tfXp9fP2CvYz9lL2WPZV9ln2aPZ19nr2fvaJ9pr2r/bD9tf26/b+9xH3IPcn9yP3E/b69uX25PcM92X32/hB+G34Wvgu+Bf4J/hM+Gz4gPiS+Kn4uPis+IH4T/g1+Eb4evi++P/5N/lp+Zz51PoV+mP6wvsz+6/8KPyR/OL9Hv1M/XP9mf2+/eH+Av4p/l7+pf77/1X/q///AFIAowDrASkBaAGsAfUCOwKAAtYDTAPXBE8EigSABFAELQQ2BHAExgUhBXMFuAX0BisGYAaMBqgGrwaoBqYGtAbOBukG/QcXB0gHkwfoCDEIbgiuCP4JUwmWCbwJzwnkCgIKHwo2CkwKbQqiCuYLLwt3C78MBgxNDJEM1A0QDTUNLw0DDMkMoAyGDE8L0gsZCm8KIwpCCogKnwp5ClkKjgsdC7UL9QvHC2gLLAs1C2QLhAuDC3sLjAvBDAQMPQxlDIcMrAzQDOsM9wz8DQENDA0eDTgNVw1xDXwNdQ1oDWANXA1SDUANMg01DUkNYQ16DZ8N2A4WDkMOXA5+DsgPMA+LD7MPrg+mD7wP6xAaEDoQThBgEG8QexCMEKkQzRDmEPAQ/xEoEWcRnBGmEYURVBEuERoREhEQERERFREXERcRFxEYERsRIRErETsRSxFWEV4RaBF0EXwRgxGaEc8SExI/EjYSCBHfEdERuRFXEIAPPg22DAsKWAjTB9UHrQhdCYgKpQtgC7wL7QwXDC0MEQvNC4sLbgtyC3ILUwsaCtEKfAoZCbYJaQk7CRwI9wjKCKEIgAhaCCQH5wexB4YHWAcjBu4GxAaeBm0GMAX5BdUFtAV9BS8E6ATLBNgE6wTgBLYEhAReBEIEIQP1A8MDlwNyA00DJAL4AtACsAKUAngCVwI1AhIB7QHDAZkBdgFfAUwBNQETAO0AygCuAJoAjQCFAH4AcgBfAEsAOQAqABoACP/1/+X/1//H/7T/pP+Z/4//gP9u/2D/Xf9l/23/bP9h/1D/Pf8r/xn/B/70/t/+yf6w/pP+cP5K/ib+Bf3o/cz9r/2T/Xf9X/1K/Tn9Kf0Z/Qn8+fzr/OD81/zO/Mf8wvzB/MH8wPy6/K/8n/yO/H78c/xt/Gj8YPxS/EL8M/wl/BX8Afvu+9770/vH+7j7pvuU+4T7dPtk+1f7TftE+zr7Lfsh+xn7E/sK+v368frt+u768frw+u767Pru+vH69Pr4+v37BfsO+xj7JPsw+zr7Q/tM+1X7Xvtn+3H7fPuI+5D7k/uU+5X7lvuZ+537o/us+7b7vvvF+8v7zfvN+8z7zPvN+9D71fvZ+9373/vd+9v72/vf++P75/vq++/79vv9/AD8A/wJ/BL8Gfwc/B78I/wp/Cz8Lvw1/EH8TfxU/FX8WPxh/Gz8c/x3/H78iPyT/Jr8nfyh/Kn8sfy3/Lv8wfzI/M/81fzb/OL86Pzt/PL8+/0G/RL9Gv0h/Sj9L/02/T79R/1P/Vb9Wv1g/Wr9dv2B/Yn9k/2e/ar9s/27/cL9yv3R/dX93P3m/fL9+v4B/gj+E/4d/iT+K/42/kT+T/5S/lP+W/5s/n7+iv6S/pv+qP62/sP+0v7n/v//FP8n/zr/Uf9n/3j/hf+R/6L/tv/K/93/7v/5//3//P/8AAQAEQAcACEAIwAoADMAQQBNAFUAXQBmAHEAewCEAI8AngCwAMAAzwDdAO8BCAElAT4BVAFpAYEBnQG3Ac0B4QH5AhYCNwJdAokCtgLcAvAC9gL9AxEDMwNZA3wDnQPCA+gECgQoBEkEcQSaBLoE0wTuBRIFOwVmBZYFzQYABh4GJAYcBgMFuwUwBJUEZAUJBn0ISgnuCzwMSw0pDakNog0uDJgMDwt1CqAJrwj/CNYJGAlpCYwJkgmpCdoJ/QntCa8JdAlpCZ0J/QpfCpIKegoaCZcJGwi8CHYIPggOB+MHugeOB18HMgcJBuYGyga6BrUGtQazBqkGnAaNBngGVgYpBfwF1wW+BbAFqwWoBaAFjQVzBVkFQgUtBRYE/QTjBMgEqgSFBFsEKwPwA60DZwMmAuoCrQJqAikB8QHGAaIBggFjAUIBEwDMAG0AAP+V/y/+z/56/jf+DP3t/c39o/11/Uf9H/z+/Oj84fzo/PP89/zx/Of84vzl/Oz87fzf/MH8m/x7/Gz8cfyC/Jb8qPy4/Mn84/0L/UH9ev2q/c395/4E/i3+Zf6p/vf/R/+U/9gAEAA8AF0AdQCRALkA6wEVASUBFQD0ANUAwgC9AMMAzwDhAPYBDAEgATUBTAFoAY4BvgHwAhECFAH9AeAB1AHcAfACAgIRAh0CKQI4AksCYgJ8ApYCrwLIAuMC/QMTAyYDOQNPA2UDegONA6IDuwPWA+4EAgQUBCYEOARJBFsEbwSFBJoErAS8BM8E5QT6BQ0FHgUuBT4FTQVbBWoFewWNBZ4FqwW4BccF2wXxBgcGGgYnBi0GLQYmBhkGCgX+BfgF+AX5BfgF9AXvBe0F7gXuBesF5gXkBeYF6gXsBesF6wXxBfsGBAYIBgsGEgYgBjIGRQZYBm0GhgafBrUGyAbdBvMHBwcVBx8HKgc7B1IHbQeGB54HtwfXCAMINQheCC4IFggTCCoIRghSCE0IVgiPCPgJYwmVCXcJJQjaCMEI2Aj7CQgI+gjkCNsI4AjsCPoJDAklCT4JTwlXCV8JcwmPCagJuAnDCdMJ7AoFChEKEAoICgIKAAoECg8KJApCCmQKhAqdCrYK0QrxCw8LIwsoCyELGwsoC1YLoAvuDCEMKAwQC/kL+AwRDDUMVwx1DI4MoQytDLwM3A0VDV4Nmw26DboNqg2fDaINsg3GDdQN1A3GDbENmg2FDXUNbw10DX0NfA1pDUwNOw1EDWUNjQ2rDboNxA3SDeoOCQ4eDhYN3w2ADRQMuwyDDGcMTQwhC9ELWwrKCjwJyQl5CTsI+gi2CIcIfQiUCLIIxAjHCMMIvgi5CLUItQi7CMEIvwioCHQIHAenBysGxQaEBmIGSgY0BiEGHAYkBjAGOQY9BkEGSAZPBlUGWwZkBnoGnAbEBuUG/wcmB3IH5AhaCKsIxwjFCMMIygjPCMgIvAi0CKsIlwh3CFcIQQgqCAQHzAeNB1UHKAcEBuoG2QbPBsUGuga0BrMGsAanBpoGkwaRBowGfAZpBmMGcgaLBqUGuwbOBuAG8Ab9BwkHEwcXBxUHEgcOBwUG9AbnBu8HEgc8B1cHWwdTB0UHLQcNBvUG9QcABu8GrAZPBggF7AXjBcwFpAWDBXUFagVQBS4FGgUaBSAFGQUIBPkE8gTpBNUEvgStBKMElgSCBGoEVQRCBCwEFAP8A+QDyQOrA48DeANiA0YDJAMDAuoC0gK1ApACbAJOAjMCFQH1AdgBwAGpAY8BcAFSATYBHQEFAO4A1QC4AJcAdABRACwAAf/T/6j/gP9W/yT+6/6w/nn+RP4O/dn9qf2A/VX9Jfzx/L/8kvxm/Dn8Dvvp+8X7nftu+0L7H/sB+tr6pvpu+kD6IPoE+d/5rfl0+UL5Ivkd+S35RPlO+T75EfjQ+IL4L/fh96D3bPc99wf2yvaQ9l32K/X09b71l/WA9Wr1RvUY9Pn09/UK9RT1BvTm9MT0ovR09DDz3fOO81LzLfMS8vXy0/K08qHymvKS8nzyWPIz8hzyDfH28cvxlfFu8WbxdvGF8XnxTPEV8PDw5fDh8M3wqPCO8JHwpPCh8H7wWvBf8IvwrvCf8GvwQvBA8FDwUfA/8DTwPfBL8E3wRfBE8E3wVvBX8FfwY/B28IPwiPCT8KrwxfDZ8OvxBfEj8TnxRvFc8YnxvvHq8hvyevMM85LzuvN98z/zc/Qq9QX1l/XE9cb12vYG9in2MvYu9jb2SPZW9ln2WfZl9n72mvaw9rz2xPbQ9uL29Pb69uz2zfas9p32sfbs90b3qvf3+Bj4Evf/9/v4Cvgh+DX4S/ht+JP4p/iU+GH4LfgY+C/4Z/is+O75JvlU+X35qPnc+iH6e/rq+2f74fxH/I/8vvzf/QD9Jv1O/XX9mv3H/gj+Xv7B/yH/eP/NACUAfADHAQMBOwF6Ab8CAQJBApcDEgOkBBwESgQuA/YD3QP9BEsEqAUABU0FjwXFBfQGIAZHBmAGYAZNBj0GQgZeBn0GlQawBt8HKweEB9YIHwhsCMcJJAlrCZEJoQmvCccJ5woKCjMKZwqkCuQLHwtWC44LygwLDFIMnwznDRYNEwzfDJgMXww1C/MLcgq+CiAJ4AoGCkoKXgo3ChcKRArACz8LcAtFCvgK0grnCxcLNAs1CzcLWgujC/cMNQxUDGEMcwyPDK0MwgzKDMwMzwzcDPYNGA01DUENOg0tDSUNIg0ZDQkM/w0GDRkNKQ0yDUsNhg3ZDh8OQQ5VDoMO2Q81D2wPdw90D4UPrQ/aD/sQERAhEC4QORBLEGwQkhCuELwQzxD8EToRaBFqEUQRFBD0EOkQ6RDsEPEQ9hD3EPUQ8hDyEPYQ/xEMERoRJxExET0RUBFiEWwRchGKEcESARIhEgkR1xG5EbcRmhESD/4OfAzDCwAJWwgRB3UHtQioCdoK1wtwC78L8wwaDCMMAQvBC30LRgsaCvwK9Ar/Cv4KxwpRCb8JSgkKCOsIywijCH0IYQhBCA8HzweTB2QHOgcIBtQGpwaABlQGIAXuBcgFowVsBSAE2gS4BL4EzgTHBKQEdgRTBDgEFwPpA7UDhwNlA0YDIQL3AtACswKaAn8CXgI9AhwB+AHNAZ4BdgFZAUUBMAEVAPYA1QCzAJYAgwB9AHwAdABiAEoANwArAB0AC//6/+3/4f/R/7n/of+S/4n/fv9u/1//Wf9d/2H/Xv9T/0P/MP8c/wb+8P7d/sz+vf6q/pD+bv5H/iD9/f3h/cb9rP2Q/XT9W/1G/TT9I/0R/Pz86fzb/NP8zfzF/Lr8r/yq/Kn8qfyo/KL8l/yH/Hb8Z/xe/Fr8VPxL/D78Mfwi/BH7+/vn+9f7y/vA+7L7o/uU+4T7dPtm+1v7VPtO+0T7Ofsw+yr7I/sX+wj6/fr6+v36/vr++v37APsD+wf7CvsO+xP7Gvsg+yf7L/s5+0P7TftX+2H7Z/tr+3D7ePuC+4z7lPua+5z7nPuZ+5j7nPul+7D7ufvA+8T7x/vI+8j7yPvK+8z7z/vT+9f72vvZ+9f71vvZ+9z73Pvc+9/75Pvp++z78Pv4/AL8CvwO/BH8GPwe/CD8IPwm/DP8QfxK/Ez8UPxZ/GP8afxs/HH8fPyI/JH8lvya/KH8p/yr/K/8tPy6/MD8xPzK/NH82Pzd/OT87fz4/QH9Cf0R/Rv9Jf0u/Tf9Qv1L/VD9Uv1W/WD9bf14/X79hf2Q/Zv9pP2p/a/9uP3B/cj9zf3V/d/96v3z/fv+Bf4N/hL+F/4h/i7+Of49/j7+Rf5V/mn+d/6B/ov+l/6j/q/+v/7V/u//Bf8Y/yr/Pv9T/2T/cf+A/5P/p/+4/8j/1v/i/+f/5P/g/+X/9AAFABEAFgAcACQAMAA8AEUATQBTAFkAYwBwAIAAkQCgAK0AvQDSAOwBBwEgATUBSQFgAXwBlwGwAcMB1wHuAgoCLAJSAn4CqQLIAtYC2gLkAv8DJwNQA3MDlwO9A+ED/wQaBD0EawSaBL0E2AT2BR4FSwV1BaMF2AYLBioGMwYwBhgFyQUyBI8EYgUTBpAIWgnzCzgMRw0mDaENiQz9DFULyAs9CogJvAknCQcJRAmPCbUJxAngCgsKIAoECcgJnwmwCf4KYgqrCrMKdQoHCY0JIAjHCHsIOggEB9UHpwd4B0sHJAcCBuEGwwaxBqwGrQaoBp0GkQaJBn4GaQZKBicGBgXrBdgFzQXHBb4FrQWVBXsFZgVTBT8FKAURBPkE3AS4BI0EWgQaA84DgAM4AvkCuwJ7Aj8CEgH0AdwBtwF/ATAAzgBd/+f/eP8Z/sf+fv4//hP9+v3s/dv9wP2a/W/9P/0Q/Ov81/zV/Nv83fza/Nb82vzm/Pb8//z2/Nf8rPyH/Hf8gPya/Lb8zfzc/Of89/0T/T/9cv2h/cf94/3//iL+UP6K/tD/HP9s/7oAAAA6AGIAegCPALAA3gEPATEBOgEwAR4BCwD7APAA7gD0AP4BCgEYAS0BSAFoAY8BwAHyAhUCGwIIAfAB6AHxAgECDgIZAikCPAJQAmQCewKXArUC0ALoAwADGQMyA0gDXwN2A48DpAO4A80D5gQBBBcEKgQ6BEwEXgRvBIEElQSrBL4EzgTeBPEFBgUcBS4FPAVKBVkFaQV3BYUFlAWkBbMFwgXQBd8F8AYEBhkGLAY5Bj4GPQY2BisGGwYKBgAF/gYBBgIF/QX2BfMF9AXzBe0F5QXiBeUF6QXqBekF7AX1BgAGCAYLBhEGHQYvBj8GTAZZBmoGfwaVBqsGwgbcBvYHDAccBygHNgdGB1cHaAd6B5IHtQflCBgIOwhCB9wH0gfwCB8IOQg0CC8IWQi+CTIJdQlkCRQIxAikCLwI6wkJCQUI7wjdCNoI4gjqCPEJAQkbCTUJQwlFCUsJZAmLCa0JvAm8CcEJ0wnsCf0KAAn6CfUJ9Qn8CgsKJQpHCmoKhQqaCqsKwAraCvcLEAsdCx4LGQsfC0ALgQvPDA0MIwwUC/cL6Av2DB4MTgx1DIUMgAx2DH0Mpgz1DVgNtA3vDgEN9Q3fDdIN1A3hDfEN+g33DegNzw21DaENmw2iDaoNqg2bDYENaQ1hDWwNiQ2pDcANyw3PDdcN5A3kDcMNeQ0VDLYMdAxUDEYMMAv9C58LGgqGCgUJqwl2CU0JHAjjCLcIqQi1CMoI2QjgCOMI6AjrCOoI5wjiCN8I2wjLCKAITwfeB2cHBAbCBpkGfAZkBlQGUQZYBmQGcAZ5BoAGhAaJBpIGoAa1BtAG8QcUBzIHUweKB+cIXQjICQUJEgkMCQ8JGwkhCRcJCgkACPYI3wi8CJYIdQhUCCoH9wfHB54HegdZBzwHKAccBxEHBQb8BvkG9wbzBu0G6QbkBtQGvAaoBqkGwAbgBvoHCQcUByEHMgdFB1YHXAdWB08HUQdaB1oHSgc6B0MHageUB6UHmweMB4QHeAddB0EHOwdEBzIG6QZ8BiQF/wX7BfAF0QWxBZ8FlAV/BWMFUQVQBVQFTQU7BSoFIQUWBQQE7wTeBNEEwQSsBJYEhARzBFwEQAQkBAsD8gPYA8ADqQOSA3MDUAMvAxUC/wLiAsACnQKAAmUCRwIpAg0B9AHbAb4BoQGGAXABWgFBASYBCQDsAM4ArgCNAGcAPQAQ/+f/wf+X/2T/Kv7x/r7+i/5U/h397P3E/Zr9aP0x/P780/ys/IL8WPww/Ar74Pu0+4z7bPtL+x/65fqr+oD6YvpE+hv55/mx+YX5a/ll+XP5iPmS+YP5VvkP+Lj4WvgE97/3i/db9yT25fao9nL2PfYB9cH1ifVf9Tj1C/Tc9MH0xPTZ9Oj04/TP9Lr0q/SY9HX0PvP787jzfvNN8x7y7/LE8qnyoPKe8o/yb/JI8ijyEfH18czxnfF88Xjxi/Gf8ZrxcfE08Pzw2/DK8LXwlPB58HnwivCO8HTwUvBN8GrwhfB68FHwMfAz8EbwSvA68CvwLvA48D3wPPBB8E/wWvBc8F7wa/B+8Irwj/CX8KnwvPDG8M/w5vEJ8STxL/E+8WfxpPHh8hnyafLZ8z3zWPMo8wDzRPQA9Nv1a/WX9ZX1o/XK9e31+/YB9hP2MPZF9kv2TPZX9m72hvaT9pX2lvae9q32uva39p72ffZo9nT2n/be9yD3W/eK96z3w/fU9+P38ff++A/4MPhh+JD4oPiE+E34HfgO+Cj4Xfie+N75FflA+WH5gPmp+ej6Q/q3+zj7sPwK/D38VPxh/Hf8oPzW/Q79Rf2C/c/+L/6Y/vz/Vf+rAAMAWQCiANsBEAFNAY0BxgH6AkYCwANZA9YEBQPoA7UDqgPaBC4EhQTTBR4FZAWcBcEF3QX2BggGCAXzBdwF3AX4BiAGRAZnBpoG5gdCB50H8QhGCJ4I8gkzCVoJbwl/CZUJtAneChUKVAqVCtILDgtJC4QLvgv3DDgMhgzRDP4M9wy/DHkMQgwSC8MLNQp8CeAJoQnACf8KFwn6CdgJ6AouCnUKjgp4CmEKcQqnCt0K8QrsCvULLwuUC/0MPgxNDEAMOgxLDGoMhAyRDJUMmAyjDLgM1QzwDP0M+gzvDOgM5QzdDNAMyQzSDOUM7QzpDPcNNw2iDgkOQA5ODmIOng7xDy4PQA87D0EPYA+KD64Pxw/ZD+cP+BAREDcQXhB6EIoQoRDPEQoRMBErEQQQ2hDAELkQuhC/EMkQ1RDcENoQ0xDPENQQ3xDtEPoRBBENER0RNBFJEVMRWhF0EasR5RH4EdcRpRGPEZARYRCuD18NoQu+CfQIegeNB2UIAwkYCjAK+QttC7QL6wwNDAkL4wuuC3ULLwrfCp8KlgrDCvIK2wpmCb8JLwjeCLoIngh6CFgIPggiB/UHuAd8B0wHIgbzBr0GjAZjBj4GFQXqBcEFlQVcBRYE1QSxBK0EtgSwBJIEaQRFBCcEBQPXA6QDewNgA0gDKAMAAtgCuQKgAoUCZgJFAiQCAAHVAaUBegFZAUABKQETAP0A4QC9AJYAegBwAHIAcABgAEoAOQAuACIAEQAB//j/8P/f/8L/ov+L/37/cv9j/1P/Sf9H/0b/Qf84/y3/IP8O/vj+4P7L/rz+rv6f/oj+aP5B/hr9+P3c/cL9qP2N/XH9V/1A/Sv9GP0E/PD83fzP/Mf8wfy4/Kv8nvyU/JD8jfyK/If8gvx4/Gv8XfxR/En8Qvw6/DH8KPwd/A77+vvm+9b7yvvA+7b7q/uf+5D7f/tx+2j7ZPte+1T7SftB+zz7NPsm+xf7DvsO+xD7D/sN+w37EfsW+xn7Hfsj+yr7Lvsv+zH7OftE+1L7X/tp+3D7c/ty+3L7d/t/+4j7kfuZ+5/7ofue+5r7nPuk+6/7t/u8+7/7wfvC+8T7x/vK+8v7y/vM+8/70/vU+9L70fvS+9X71vvV+9b72Pvc+9/74/vq+/P7+vv//AT8DPwT/Bb8Fvwa/CX8Mvw7/ED8RfxP/Fn8X/xj/Gr8dvyC/Ir8j/yT/Jn8nfyg/KL8p/ys/LD8svy2/L38xfzN/Nb84Pzp/PD89fz9/Qr9GP0k/S79Ov1E/Un9Sv1M/VT9Yf1s/XP9ev2E/ZD9l/2b/aH9rP24/b/9w/3J/dT94f3r/fP9+v4A/gT+B/4N/hj+I/4q/i3+Nf5D/lT+Yv5s/nb+gv6P/pz+rP7D/t3+8/8E/xX/KP89/07/Xv9x/4f/nf+u/7v/x//T/9f/0//O/9D/3v/w//4ABgAMABMAHAAoADMAPQBEAEoAUwBiAHIAfwCJAJUAqADFAOQA/wETASYBOwFUAXABiQGgAbYBzQHnAgUCJgJMAnYCnQK6AskC0gLjAwQDLgNXA3sDngPDA+MD/gQZBEEEdQSnBMwE6wUQBT0FagWRBboF6wYZBjcGQgZBBigF0QUtBIAEUAUBBnsIQQnaCyoMTA05DbINiAzlDC0LngsiCogJ1QlQCTMJbwm9CeoJ/AoSCi8KNgoTCdoJvwnpCk4KtgrnCsMKXAnhCXUJIQjVCIgIPQf/B84HoAdyB0cHJAcHBugGyAayBqoGqAakBpgGjAaFBoAGdwZnBlQGPgYmBg0F+QXrBd4FzQW3BaAFiwV2BV0FQQUnBRAE9QTSBKUEbAQnA9cDhgM8AvsCuwJ9AkkCKgIeAgwB3AGCAQQAdf/s/3f/Hv7b/qL+bP49/h7+Ef4N/gX97/3N/aL9bv05/Qr86fzZ/NH8zfzJ/Mr81Pzo/P79DP0H/On8vvyY/Iv8mvy7/N/8+P0C/QP9B/0X/Tj9ZP2Q/bX90/3u/gn+Kv5Y/pf+5P86/47/2wAdAE4AbwCEAJkAtgDaAP0BGwEvATYBLgEbAQYA/AD+AQYBDwEaASwBSAFqAZUByAH7Ah0CIgIQAfsB9gIAAg4CGAIkAjcCUAJoAoACmwK7At0C9wMLAx8DNwNSA20DhgOgA7oD0gPmA/oEEAQpBD4ETwRgBHEEgwSWBKoEvwTTBOUE9AUDBRUFKgU9BUwFWAVlBXYFhwWWBaQFsgXBBdIF4wXyBf8GDAYcBi8GQQZNBk4GSQZCBjcGJgYTBgUGAwYJBg0GCAX/BfkF+AX2Be8F5wXlBekF7gXxBfIF+AYABgcGCQYMBhcGKQY7BkYGSwZUBmQGdwaKBp8GuAbXBvYHDwciBzEHQAdOB1wHagd+B5wHxwf4CBwIHwgBB6QHvggACDwIRwguCC4IeQj+CW0JgAk0CMoIjAiUCMgI+QkJCPwI5gjbCN0I5AjoCOwI+gkUCS4JOgk5CUAJXgmNCbMJvwm3CbAJuwnSCeYJ7QnrCegJ6QnzCggKKApMCmsKgQqPCp0KrQrACtYK8AsLCx4LKAsvC0QLcguzC/QMGwwcC/8L3wvZC/sMOgx1DJQMkgyDDIUMqgz1DVgNvQ4NDjcOOw4mDgwN/A37DgYOFA4ZDg0N7w3MDbQNsA26DcUNxQ24DZ8NgA1jDVYNYw2CDZ8Npw2bDYkNew1kDTUM6gyYDFoMPAwyDCYMAgu7C1AKzApICeAJngl4CVUJKgj7CNgIywjSCOAI7wj7CQYJEgkdCSUJJQkgCRoJFgkMCOcImwgtB7YHTwcEBtIGrwaYBowGigaQBpsGqQa2Br4GwQbIBtkG8wcRBzAHTgdsB4sHtAf0CFUIxAkhCVEJXAlcCWUJcwl1CWoJXAlRCUUJKgkBCNQIrAiHCGEIPAgeCAQH6AfGB6YHjgd8B2wHXAdQB0oHRgdCBz4HOgcxBx0HAwb0BvoHFQczB0oHVAdZB2IHcweKB5wHngeVB5AHnge2B70HpQeGB4QHpQfHB8sHuQeyB8EHzQe2B4gHZwdfB0wHBgaZBjsGFQYYBhoGBAXkBc0FwQWvBZYFhAWBBYMFfgVvBWAFVQVIBTQFHwUOBQEE8ATaBMQEsgSgBIcEaQRMBDUEIQQKA/ED1wO8A54DfQNeA0UDLAMOAu0CzgKzApgCewJdAkECJwIJAekBzAG3AaYBkgF2AVgBOgEeAQEA4gDAAJwAdQBMACX//v/S/57/Zv8x/wH+0P6Z/mH+Mf4I/d79qv1y/T/9F/zy/Mz8o/x5/E/8I/v4+9T7t/uU+2L7I/rp+r/6ovqB+lP6Hvnv+c35ufmz+bj5wfnB+av5evky+N34g/gx9+/3vPeL91P3E/bX9qL2bfYx9fH1tvWI9WD1N/UO9PL06PTm9N70yPSs9Jb0kPSW9J/0mPR29Drz8POp82jzLfL48tTyxvLE8rrym/Jw8knyLPIQ8ezxwvGg8ZXxo/G68cPxqvFu8SHw4PCz8JLwc/Bb8Frwa/B08GDwO/Ao8DPwSfBK8DTwIvAo8DvwQ/A58CvwJvAo8CnwKvA28ErwWvBh8GjwePCN8JnwnPCj8LHwvPC78LvwzvDz8RTxIvEr8Uvxh/HM8gzyUfKj8ufy8/LM8rnzDfPL9KT1OPVs9W71dvWU9bP1xvXX9fP2FvYw9jz2Q/ZP9l32ZPZi9l32X/Zr9nf2d/Zk9kT2MfZA9nT2tvbo9v/3CPcb90L3d/en98f32ffn+AH4Lvhm+JH4mPh4+ET4HfgU+Cn4UviG+L748vkd+T35Wfl9+bn6FvqR+xb7ifvR++n74fvY++b8EvxU/J/86/07/Zb+Af50/uL/Rv+g//cARQCFALgA6QEjAV8BkAG7Af8CdgMPA5ADxAOwA4wDkQPJBBYEXgSgBOoFOQV3BZQFmwWhBasFqwWXBX4FegWVBcYF+gYuBmwGvwcgB4QH3wgxCHkItwjqCRUJOQlUCWsJhwmyCe8KMgpzCrEK8ws8C4ILugvrDCMMagysDMkMsAx2DDwMFgvrC48K8AowCZQJVAltCaYJxQm4CZwJlgmsCcUJzgnQCeoKKAp0CqYKrQqgCrILAguAC/YMNAwyDBMMAQwODC0MRgxTDFkMYAxsDHwMjwykDLMMtgywDKgMowybDJAMjAyYDK0MtAysDLUM+Q12DfgORA5RDlAOcA6yDu0PAQ74DvQPCw81D18Pfg+SD6QPuw/bEAIQJxBAEFIQbxCiENsQ/RD4ENYQtBCeEJQQjxCPEJsQrRC5ELkQsxCvELUQwhDREN4Q6BD0EQQRGREqETMRPRFbEY4RvhHHEaMRdhFkEVgRBhAiDqAMuArACQYHygdCB4cIbQmNCnwLDwtjC6QL3Qv4C+gLvAuQC2ULIwrECmkKRgplCpUKjQosCZMJBQiuCIcIcAhUCDQIGAf8B9YHowdtBz4HEwbjBq0GeQZNBioGCQXjBbYFggVGBQUEzQSrBKIEpASdBIIEXAQ1BBQD8QPGA5kDdQNeA0wDMAMKAuACvAKfAoUCaAJKAioCBAHYAasBggFeAT8BJAEQAQAA6wDIAJwAeABpAGoAagBdAEoAOgAwACUAFgAKAAT//v/s/8z/qP+M/3n/af9W/0P/Nv8u/yf/Hv8W/xD/Cf7+/uz+1/7E/rb+qv6a/oL+Yf46/hT99P3Y/b79o/2I/W39Uv03/R79B/z0/OL80vzE/Ln8sPyl/Jj8i/yB/Hr8c/xu/Gn8Zvxh/Fn8TvxD/Dn8MPwn/B/8GvwV/Ar7+vvo+9n7z/vH+8D7ufuv+6D7kPuD+3v7dvtu+2L7VftO+0n7QPsx+yT7H/sg+yL7IPsd+x37Ifsk+yb7Kvsz+zz7Pvs8+zz7RftT+2L7bPtz+3f7eft6+3z7gfuH+4v7j/uV+537o/uk+6T7pvut+7b7vPu/+7/7vvu++8D7xfvJ+8r7yPvF+8b7y/vO+837y/vM+8/70vvS+9P71vvZ+9z73/vj++n77/vy+/f7/vwG/Az8D/wT/Br8JPwr/DL8OfxD/Ev8UfxY/GP8cfx9/IP8hvyL/JH8lPyU/Jb8mvyf/KH8ovyl/Kz8tfy+/Mf80vzc/OH85vzt/Pn9Bv0S/Rz9J/0y/Tn9O/09/UX9Uf1d/Wb9bv16/YX9i/2O/ZP9n/2r/bP9tf26/cb91P3e/eX96v3v/fP99f35/gH+Df4X/h/+KP4z/j/+Sf5R/lz+av54/of+mP6u/sf+3P7t/v7/E/8p/zv/TP9g/3j/j/+i/6//uv/E/8j/xP/A/8L/zv/d/+r/8v/3//4ABwASAB4AKgA0ADwARgBTAGEAawBzAIEAmQC6ANkA8AECARUBLgFJAWEBdwGOAagBxwHoAggCKQJMAnACkwKvAsMC1QLvAxMDPANiA4QDpgPJA+gEBgQpBFkEjwS/BOEFAAUnBVUFgAWkBcoF9wYiBj0GRwZHBioFywUcBGYELQTRBjsH8wmNCu4MJw0kDaINdQzMDBALggsLCncJyAlACRwJUwmkCdsJ9woTCjUKQQoiCesJ0An+CmkK0QryCrIKNAm2CV4JIgjjCJEIPAf5B8oHogd2B0wHKQcLBuwGywawBqQGoQaeBpUGjAaHBoQGgQZ8BnUGaQZWBj4GJgYTBgAF7AXVBcAFrAWTBXIFTgUuBRQE+QTTBKEEYgQaA8wDgAM4AvICrAJuAkQCOAI7AioB5wFrAMwAK/+l/0b/Cf7e/rb+iv5j/kr+Qf4+/jP+HP37/dP9pP1x/T79FPz1/OH81PzO/ND82/zu/QT9E/0P/Pf80/y0/Kr8u/zd/P/9Ff0Z/RL9Df0W/TH9Vv17/Zv9uf3V/e7+Cf4w/m3+vv8W/2f/rP/oABwARgBjAHUAhACVAK4AzgDyAQ8BGQEQAQIA/gEIARYBIgErAToBUQFxAZoBzQICAicCLQIcAggCAwINAhwCKAI3Ak8CawKHAqICwgLnAwoDIgMxA0EDWQN2A5QDrwPKA+YD/wQTBCQENwRNBGMEdQSGBJYEqAS8BNIE6AT8BQ0FGwUrBT4FUAVfBWoFdAWDBZQFpQW0BcEF0AXiBfUGBwYWBiEGKwY3BkkGWQZfBlsGUgZIBj8GMQYeBg4GCgYQBhQGDwYEBf0F+wX7BfcF8wXzBfgF/QX/BgEGBQYIBgYGAwYGBhUGKgY4BjwGQAZMBmAGdQaHBpsGtwbcBwAHHAcuBzoHQwdRB2QHfgecB7sH2QfyB/gH4Qe6B6IH1QgaCEEIMggOCB4IhAkRCWQJSQjiCIUIcQieCNsI/Qj+CO4I3wjZCNkI3QjhCOcI9QkMCSQJLwkxCToJWAmFCagJsAmkCZsJpAm6Cc4J2AnaCdsJ4AnuCggKKwpOCmcKdgqBCpAKnwqsCrkKzwrvCxILLAs6C0cLYwuVC9UMDgwnDBcL7gvRC+IMIQxtDKEMsQytDLAMygz8DUMNmQ3zDj0OZQ5mDk8OMg4eDhoOHw4hDhAN6g28DZ4NmA2jDa0NrA2iDY8Ncg1MDS8NLg1KDWoNcQ1YDTANCAzfDKoMbAw4DCEMHwwcDAALwgtlCvMKewoQCcAJjglqCUgJIgkACOsI5QjpCPQJAwkVCSgJPAlTCWoJeAl6CXQJbQleCTYI5wh3B/4HlQdEBwwG5gbQBscGxwbMBtYG5QbzBvsHAAcNBygHTQdzB5IHrgfKB+kIEAhOCKgJEgluCaYJvAnECcwJ0gnMCb0JrwmkCZMJdAlICRoI8wjRCLQInQiLCHcIWgg2CBUH+wfnB9UHwwe1B60HpQebB5EHiQd+B2oHUwdHB08HZQd+B5AHmgegB6kHuAfPB+EH5QffB+QIAQgkCCoIAwfTB8YH5QgECAAH5AfeB/wIFQf7B7QHdAdZB0gHEQazBlwGOgZFBk8GPQYaBf8F8AXhBcwFuQWzBbQFrgWhBZIFhQV2BWEFTAU9BTEFIgULBPQE3wTLBLMElwR9BGoEVwQ/BCIEAwPmA8kDqwOPA3QDVwM4AxgC/QLmAs0CsAKSAnUCVwI1AhMB9gHkAdYBwgGlAYYBagFQATMBEgDwAM8ArgCJAGEANgAJ/9j/pP9y/0L/EP7b/qX+dv5M/iD97P22/YT9XP05/RT87PzD/Jb8Zvw5/BX7+fvW+6P7Y/sp+wD63/q6+on6Vfos+hP6BvoA+f/5/vnx+c/5lvlM+Pv4rPhm+Cv3+ffF94z3TvcU9uH2sfZ89kT2EvXq9cj1qPWJ9Wv1T/Uv9Qf02fSr9IX0cvR59JX0sfSx9Iv0TfQN89Tzn/Nq8z3zJPMa8wry5vK28ozyc/Jg8kPyGfHs8c7xy/He8fHx5/Gv8VLw8PCm8HXwU/A88DjwR/BU8EfwJPAH8AfwHfAu8CzwI/Aj8C3wNPAx8CrwJvAi8B3wHvAr8ELwV/Bk8HHwhvCc8KjwqfCt8Ljwv/C58LLwvvDh8QTxFPEc8TbxbvG08fjyOfJ58qXypvKI8ony7POu9IT1G/VZ9WL1aPV99Zb1qvXA9dz1+fYQ9h/2LfY69j72MvYg9hj2IvY19j32LvYN9fP1/vY69pX24Pb69uT2xPbG9vj3QveG97H3yPfe+AH4M/hn+If4h/hp+EH4Jfgd+Cn4Qvhl+JD4wPjt+RL5MvlW+Y/56vpl+ur7V/uO+477cftc+2b7kvvW/Cb8fvzf/Uv9xP5E/sH/NP+Y/+8ANgBuAJsAyQD9ATMBYAGLAdACRALWA1IDiAOCA3MDiQPHBAsEQwR7BMMFFAVOBV0FUAVEBUUFRAU0BR0FGQU2BW4FsAX0BkIGngcFB2wHxwgOCEIIaQiSCMYI/gkrCUgJYQmLCckKDgpLCoQKxwsSC1cLhgurC9wMHAxRDFgMLgv1C9ALvwuWCysKfAm7CS0I+gkVCUwJbwlwCWAJWAlfCWkJcAl/CakJ8go+CmgKZgpWCmsKwAtAC7EL5QvdC8MLvgvWC/cMDQwWDB4MKww5DEUMUQxjDHQMfAx3DG0MYwxbDFMMUwxlDH8MjAyGDI4M0Q1VDeYOPg5JDjQOOg5qDqIOuw6zDqoOvA7pDxsPQg9bD3EPig+qD8wP6Q/+EBMQORByEKsQyhDFEKsQkhCBEHQQZxBiEGsQfBCKEJAQkhCYEKUQshC9EMcQ0hDfEO4Q+xEHERIRJRFIEXURlRGTEXIRUBE+ERgQmA9/DdIL0gncCEQHTAcgB7cIyQnhCqsLGQtZC5cLzwvkC8sLmgtvC0sLEwq6ClQKDwoAChEKCwnLCVkI3wiGCFgIQwguCBIH8AfQB7AHiwdgBzEHAQbRBp0GagY7BhYF9gXTBaUFbAUuBPEEwQSjBJcElASKBHEESwQlBAMD4wO/A5cDdANbA0cDLwMMAuMCuwKZAnwCYwJKAi0CCQHdAbABiAFlAUMBJQEQAQMA8gDSAKUAfgBrAGoAaQBeAEwAPAAxACYAGwARAAwABP/w/9D/rf+R/3v/Zv9Q/zv/LP8g/xT/B/77/vT+7/7m/tj+yf69/rT+q/6d/oP+X/41/g797v3U/br9nv2C/Wn9T/0z/RX8+vzl/NT8xfy3/Kr8nvyT/Ib8evxv/Gf8YPxa/FT8UPxL/EX8Pfw2/C78Jfwb/BP8D/wL/AX7+fvq+9371PvN+8f7wfu3+6n7mfuM+4X7fvtz+2T7V/tQ+0z7Qvs0+yn7J/sr+yz7Kfsm+yf7Kvsq+yv7MPs7+0X7SftH+0n7U/tg+2j7avtq+277dvuA+4n7kPuV+5X7lfuZ+6D7qfuu+7L7tvu9+8T7yPvI+8b7w/vA+7/7w/vI+8r7xvvA+7/7w/vH+8j7xvvG+8r7zvvQ+9H71fva+9373vvf++L75vvq++778/v5/AD8B/wN/BL8F/wd/CT8Lvw4/D/8RPxL/Ff8Zvxy/Hj8fPyD/In8i/yK/Iv8kPyV/Jf8mPyb/KL8q/yz/Lv8xfzQ/Nj83vzk/O789/z+/QT9Dv0b/SX9K/0v/Tf9Q/1O/Vf9X/1q/XX9e/1//YX9kP2b/aD9ov2n/bP9wf3K/c/91P3a/d/94v3k/ev99v4C/g3+GP4j/iz+NP48/kj+Vv5l/nP+g/6Z/rH+xv7Y/ur+//8W/yr/O/9P/2b/ff+P/5z/pv+v/7L/sP+v/7T/wP/N/9X/3P/j/+v/9P/9AAYAEgAeACkANABAAE0AVwBjAHUAkgCyAM4A4QDzAQsBKAFEAVoBbQGFAaQBxwHpAgoCKQJJAmgChQKeArUCzwLvAxQDOwNhA4QDpgPIA+oEEAQ9BHMEqATSBPAFDAUvBVkFfwWiBccF8gYZBjAGOgY6BhwFtgUBBEcEBgSbBe8HlQksCpUL2AzbDV8NQgyvDAULeArzCkoJhwjtCLgI4gkvCWwJmAnLCggKMAojCe4JyQnmCkYKqwrLCooKDgmbCVIJIQjjCIoILwftB8YHpQd9B08HJgcGBucGxgaqBpoGlgaWBpUGlAaVBpYGlQaRBooGfgZuBloGSAY1Bh4GAQXlBc4FuwWhBXsFTwUoBQoE7ATEBIsESAQBA7wDeAMyAuQClgJYAjwCQgJPAjUB2gFFAJkAAP+R/03/JP8C/tz+sv6P/nn+b/5k/lD+M/4U/fP9z/2j/XP9RP0d/QH87/zl/OX87Pz8/Q79G/0a/Qj87PzT/Mr81fzt/Qn9Gv0c/RT9D/0Y/TD9Tf1o/X/9m/27/dz9/v4q/mr+vP8O/1H/gf+p/9QAAAAnAEIAUQBbAGcAfgCgAMUA4ADsAPEA+gEMASEBMQE9AUwBYAF7AZ0BywH8AiMCMAInAhgCFQIhAjICRAJYAnMCkQKsAsgC6QMQAzEDRgNSA2EDegOaA7kD1APwBA0EKAQ8BEsEWwRvBIcEnAStBLwEzATgBPUFDAUgBTAFQAVSBWUFdgWDBYwFlwWmBbYFxQXSBd8F8AYDBhcGKQY2Bj8GRQZOBlsGZwZpBmEGVQZOBkoGQgYyBiEGGQYaBhsGFAYLBgUGBQYHBgUGAgYCBgUGBwYHBgYGBgYEBf4F+gYABhIGJAYuBjEGOwZRBmwGggaSBqcGygb4ByIHPAdDBz8HOgdDB2MHkge+B9QH1AfIB7gHpQeXB9QH+wgYCBQH7wfVCAIIeQj0CRsI2QhzCEIIYwitCOUI9QjtCOMI3QjWCNEI0gjaCOQI8QkCCRYJJAkqCTIJSAlpCYMJiQmBCX4JiwmiCbUJwQnHCc4J2AnpCgYKKgpKCl0KZgpyCoQKlgqgCqUKsgrPCvULFAsmCzALQQtmC6IL6gwhDCwMDQvlC94MCwxVDJUMuAzIDNUM5Qz5DRUNTA2kDgsOYA6IDoAOWg4vDhEOAg33Dd4NsQ18DVgNTg1SDVINTA1HDUYNPQ0kDQYM/Q0RDS0NNA0ZDOoMtwyDDE4MHgwEDAUMDgwBC80LdgsMCp4KOAnjCaUJeglXCTYJGQkHCQAI/gkACQgJGwk0CVAJcAmWCb8J3AnlCdwJyAmqCXQJHAipCDIHzAd+B0YHIQcMBwUHBgcMBxYHJAcwBzcHPwdTB3gHpAfLB+sICAglCEAIXQiKCNoJRwm3CgsKOApJCkkKQAovChsKCwn8CeUJwQmVCWoJRgknCQ8I/QjsCNYItgiTCHUIYQhPCDwIKwggCBcICgf5B+gH2wfPB70HqQedB6IHswfHB9gH5gfwB/kICAgfCDMIOQg2CEAIZAiLCIwIWggfCBMIPAhlCFwIMAgYCCsIPwgcB8QHcAdKBz4HGgbOBoUGagZ3BoIGcAZLBi8GIgYXBgUF9QXtBesF4gXQBb0FrwWgBY0FegVsBWIFUwU9BSMFCwT3BOEEyQSzBJ8EiQRuBE4ELwQSA/YD2QO8A54DgANhA0QDLAMXAwAC4gLDAqQChQJjAkACJAITAgQB7wHSAbQBmwGDAWYBRQEkAQYA6QDFAJoAbgBBABT/5P+y/4D/Tf8b/ur+vP6Q/mH+Lv37/c39pP1//Vn9M/0L/N78qvx4/FH8M/wS++L7pvtr+z77GPrv+r/6kfpv+lv6UPpL+kj6Qfor+f75u/ls+R341viY+GL4L/f597/3g/dL9xr27Pa99o/2Y/Y99hv1/fXh9cP1nPVs9Tf1AvTQ9J/0dvRj9G30hPSO9Hz0W/Q+9Cf0B/PX86Tzf/No80/zJPLz8tDyxPK98qfyefJB8hHx/PIC8hPyDvHa8XnxCvCw8HXwTfAu8B/wJvA08DPwGO/77/fwEfAx8D/wOfAs8CTwIfAh8CLwJPAh8B3wHvAr8EHwVfBl8Hbwj/Cm8LDwsPCy8LvwwvC88LPwufDS8PDxAvEM8SXxWfGe8ebyKvJm8onyhPJt8oLy9PO79I31IPVe9Wz1cvWB9ZT1pfW29cj11/Xh9e72APYQ9g719/Xd9dT14/X39fj13vW99bf15vZH9rP29vbz9r/2j/aT9tP3Lfd696n3xPff+AX4Mvhb+HP4c/he+EL4LPgi+Cb4M/hJ+Gn4kvjA+Oz5FPk6+W35wPo2+rn7H/tI+zf7D/r5+wj7Nvtz+7v8FPyB/P79hP4L/pD/Cv92/88AFgBPAH4AqwDaAQkBNQFmAbICJgKvAyADWANgA2YDigPJBAYENgRnBKgE7AUUBQ8E8gTcBNcE1QTHBLgEvgTkBSMFbAW5BhAGcgbaBz4HkwfSB/oIFAg5CHYIwQkBCScJQwltCasJ7wonClgKkQrRCwcLJQs8C2QLmwvCC7oLjgtkC1gLUgsdCpkJ2wknCLgIowjMCQMJJAkmCRsJGgkqCUEJUQleCXoJswn2CiMKJwoXCh8KXAq/CxgLQwtIC0sLaAuXC78L0QvYC+ML9wwIDBMMHgwwDEUMTwxHDDcMKQwhDB0MJAw8DFwMbwxsDHMMsg01DcoOKQ4yDg8N/w4gDlcOdg5yDmYOcQ6cDtMPAw8kDzwPVg9zD5APpw+5D9MP/xA5EG4QiBCDEHAQXhBTEEkQQBA8EEMQUBBcEGYQdRCKEJ8QqRCsEK4QtxDEEM8Q2BDlEPwRHRFDEWMRbRFfEUQRMREeEN0QKw7fDQ4LAgkcB7IHAgciB+4JCgoNCrgLEwtOC4kLvQvMC7ELfwtRCykK9gqqCkoJ8Am4CacJpgmPCUoI4gh7CDgIGwgMB/QHzAelB4gHbwdNBx0G6Aa2BogGWQYrBgEF3wW+BZIFWQUaBOIEtwScBI4EhQR3BF0EOgQVA/cD3AO/A5sDdANUAzsDJAMHAuICuQKQAm8CWAJGAjICEwHpAbsBkQFrAUcBJwESAQUA9QDWAKsAhABwAGwAawBiAFEAQAA0ACgAHQAVAA4AA//t/87/r/+U/33/Zv9O/zr/LP8f/w/+/f7t/uH+1v7K/r7+tP6u/qz+qf6e/of+Yv42/g397P3S/bj9nP2B/Wn9Uv03/Rf8+Pze/Mr8ufyp/Jv8kPyF/Hn8bPxg/Ff8UfxM/Ej8Q/w+/Df8Mfws/Cj8IfwW/Az8BPwA+/r78vvo+9/71/vP+8f7vvuy+6X7lvuK+4D7d/tr+1z7UftL+0b7Pfsy+yv7LPsw+y/7K/sp+yv7L/sw+zD7NftB+0v7T/tR+1b7Yftn+2T7Xfta+2T7dfuF+5H7mfud+5/7ovun+6/7t/u9+8D7xfvL+9H70vvR+8/7y/vG+8P7xPvJ+8z7yfvC+777wPvD+8X7xPvE+8f7yvvM+8370fvW+9r72vvY+9r73/vk++j76/vv+/b7/vwF/Ar8DPwP/Bf8JPwv/Db8Ofw//Ev8Wfxk/Gv8cvx5/ID8gfx//ID8h/yO/JL8k/yY/J/8p/ys/LP8vPzI/NP82/zi/On87/zy/PT8/P0I/RX9Hv0l/S79Of1C/Uj9Tf1W/WD9af1x/Xn9hP2O/ZL9lP2Z/aP9sP25/b79xP3L/dH90/3V/dr94/3u/fr+Bv4S/h3+J/4x/j7+TP5Y/mP+cf6G/p/+tv7J/tr+7v8D/xf/Kv8//1X/af94/4P/jf+W/5r/mf+b/6P/sf+8/8P/yP/R/93/5v/s//L/+gAGABQAIQAuADoARgBUAGoAiACoAMEA1QDqAQgBKAFDAVgBbQGIAagByQHmAgQCJQJFAmECdwKNAqcCxQLoAw4DNANcA4IDpgPIA+sEFARCBHQEpATLBOwFCgUsBU4FbgWNBbEF2QX7BhEGHwYiBgAFlATdBCQD5ARxBbYHUgjlCkoLgQx2DP0M/wycDBMLggrYCgIJHghyCDIITgiPCMkJAQlPCbEJ/goNCeIJsgm9CgwKbAqUCmQJ/AmUCUwJFAjNCHEIGQfeB74Hogd4B0YHGwb6Bt0GvwakBpMGkAaVBp0GqAaxBrcGtQarBpsGhwZ0BmUGWgZMBjAGCwXmBc4FvQWlBX0FTAUfBP0E3gSzBHkENQPyA7UDeQMzAuACjgJVAkcCWgJlAjkBxQEfAHb/8f+c/2r/Rv8g/vX+y/6q/pX+hP5v/lL+Mf4U/fz94f29/ZH9ZP09/SD9DPz//Pn8/f0J/Rv9Kf0r/R79B/zv/OD83vzq/P39Df0U/RP9E/0g/Tf9Tv1d/Wv9gv2n/dT+A/44/nz+zP8V/0f/Y/92/5D/tP/dAAIAHQAuADgARQBdAIAApADBANQA5AD4AQ4BIwE4AU8BaQGEAaIBxgHxAhYCKwIuAioCLQI7AlACZgKAApwCuALRAuoDCQMtA0wDYANtA38DmwO8A9oD9gQUBDUEUgRmBHMEgQSVBK4ExQTYBOcE9QUHBRwFMgVFBVUFZQV3BYsFnAWpBbQFwQXPBd0F6QX0BgEGEwYlBjcGRgZQBlYGWAZcBmMGawZrBmIGWQZXBloGWQZNBjwGMAYqBiYGHgYVBhEGEwYTBg8GCQYGBgYGAwX/Bf0F/gX9BfoF+gYEBhUGJAYtBjYGSwZrBocGlwakBr4G7QckB00HXgdWBzwHIwchB0UHhAe5B8gHsgeVB40Hmwe0CBgIEwf7B9cHtQe9CA0IiwjmCNwIfQgiCBgIXQixCNwI3wjZCNsI2wjRCMUIxQjTCOMI7gj5CQsJHQknCSoJMglDCVIJWQlbCWQJeAmPCZ8Jqgm0CcAJzwnhCfwKHQo6CksKVApiCngKjAqUCpUKnAqyCtAK6gr6CwMLDwsoC1oLpgv2DCcMJAwAC+gL+wwzDHAMoQzGDOUM+Qz5DPANAw1KDbwOLg5zDngOSQ4GDc0Nqw2WDXwNUA0cDPcM5QzdDM0Muwy3DMcM2gzbDMsMwAzJDNwM4gzPDKoMfQxMDBsL9gvrC/UL+QvZC44LKAq+ClwKBwnCCZAJbAlOCTQJIwkeCSAJIQkiCSsJQwlmCYwJtgnoCh0KRQpQCj4KGwnqCaIJPwjKCFcH+AexB34HWwdIB0IHRAdLB1YHYwdsB3IHfwebB8UH7wgSCDAIUQhzCIsImAiyCPoJcwoCCnoKwQrYCtEKvAqiCooKdApcCjwKEgnlCbwJmAl3CV0JSAk1CRwI/AjfCMsIvQitCJkIiAh+CHYIZwhSCD4IMQglCBMH/gfyB/YIBQgYCCoIOghHCFIIYgh7CJIIlwiQCJQItAjcCNwIpwhpCGEIlAjFCLoIfAhICEIISgglB84HdwdOB0MHKAbrBq8GmgalBqwGmAZ2Bl8GWAZRBkMGNAYsBicGGAYABekF2gXOBcAFrgWeBZIFggVqBVAFOAUkBRAE+gTiBMoEsQSVBHcEXARCBCYEBgPmA8cDqwOPA3UDXgNIAy4DEALuAs4CsAKQAnACVQJCAjECGwH/AeQBywG0AZcBdgFXATwBIQD9ANIApQB7AFIAJf/x/7v/if9b/y//Af7R/p7+bf4//hT97P3D/Zv9dv1Q/ST87vy4/I38bfxO/CL76Pur+3X7R/sf+vf61fq7+qj6nPqT+oz6gPpk+i/55vmU+UX5APjE+I/4Wvgj9+n3sPd690n3Gvbt9sH2lvZs9kH2HPX89dz1s/WC9VL1KvUG9Nn0pPR19Fr0UPRE9DH0IPQd9B/0DvPh86nzfPNf80LzGvLx8tzy3fLd8snynPJl8jbyGvIR8g/yAfHQ8XzxG/DK8JHwZPA68BrwFPAg8CjwGfAC7/3wGPBC8FzwWfBD8CvwHfAY8BnwG/Ac8B3wJfA28EnwWPBk8HXwj/Cq8LjwufC48L3wwvC/8LnwvPDN8OLw8fD/8RrxS/GP8d7yL/J18pfyjfJ28pTzFPPf9Kr1MfVo9XT1e/WK9Zj1ofWn9av1qfWn9a31v/XR9dH1uvWh9Zr1pfWw9aX1ivV49Y/12/ZH9qn21fa/9of2Y/Z59sb3Jfdz96T3wffc9/34IfhD+Fv4YvhX+EH4Lfgi+CP4Lfg8+FH4cfid+ND5APkq+Vr5pfoU+pL68PsL+ur6ufqo+sH68/st+277yPxA/Mr9Vf3Y/lP+yP8z/4//3QAgAFoAjQC7AOQBDgFGAZkCDQKPAvoDNwNNA18DhAO5A+0EGARGBHwEqwS7BKYEhARvBGsEZwRcBFgEbwSlBOsFMwWABdgGOQadBvoHTAeKB7AHyQfrCCsIgQjPCQMJJwlUCZMJ1QoKCjYKaAqdCsYK2AriCvkLHAsvCx4K/QrvCvgK7gqcCfgJMwiUCEwIVwiSCMwI5gjdCMoIzQjzCSUJRQlGCUQJXwmcCdkJ8gnlCdcJ6QoeClgKgQqgCs0LDgtSC34LjguVC6ULvQvSC94L7AwDDBsMJAwZDAQL9AvtC+0L+QwVDDgMTQxLDE0MhQ0DDZsOAg4SDeoNzA3gDhIONQ40DiEOIA5BDncOrA7SDu0PCA8nD0gPYw97D5gPxA/6ECcQPBA5ECwQIhAcEBcQFhAdECoQNhA+EEcQXBB6EJEQlxCSEI4QlBCgEKkQtBDJEPARHxFEEVERRRErERgREBD7EJ4Pvg5FDFcKSAh/B1AG7QdPCDcJRgomCrULCAtFC3oLoAunC44LZAs0CwEKygqGCjMJ2AmNCWwJdwmHCWcJBgiGCCMH+AftB9oHsQeDB2UHUwc3BwUGygaXBm8GRwYbBe8FygWoBX0FRgUKBNUErwSWBIYEdwRmBEsEKgQHA+sD1QO8A5kDcANJAysDFQL+At8CtwKLAmUCTQJCAjcCIQH7AcsBnAFxAUoBJwEPAQAA8ADTAKwAhwBxAGsAaQBiAFUARgA4ACkAGgAPAAb/+v/m/8v/r/+U/3v/Y/9N/z3/MP8j/xD++/7n/tX+xP60/qf+oP6d/p3+nf6Y/of+af5A/hf99f3Z/b79of2F/W39Vv08/Rz8/Pzf/Mj8svyf/JD8hvx+/HL8ZPxW/Er8Q/xA/D78PPw2/C/8KPwk/CL8HPwS/AT7+fvy++376Pvj+9771/vN+8H7tPup+5z7j/uD+3j7bvth+1X7TftI+0P7Ovsy+y/7Mvs2+zX7L/st+zL7Ofs9+0D7RvtO+1X7VvtZ+2H7avts+2P7Wftc+2z7gvuR+5f7mfud+6T7rvu4+8H7xvvF+8X7x/vM+9D70fvQ+8/7zvvL+8f7x/vL+9D7z/vI+8L7wfvD+8T7xPvD+8X7x/vI+8n7zPvR+9T71PvS+9L71/vd++L75fvo++379Pv7+//8APwD/Av8GPwl/Cz8MPw2/EH8T/xZ/GD8Z/xu/HP8dPxy/HX8ffyH/I38j/yT/Jr8ofyn/K38t/zE/M/81/zf/Ob87Pzv/PD89v0C/Q/9GP0f/Sj9Mv06/T79Qf1H/VH9Xf1o/XP9f/2J/Y79j/2S/Zv9pf2v/bf9vv3G/cr9zP3N/dH92f3j/e79+f4G/hL+Hv4q/jn+Rv5P/lb+Yv52/pH+q/6//s/+3/7v/wH/F/8v/0b/V/9h/2n/c/9+/4T/hf+I/5L/of+t/7P/uv/E/9H/2//f/+L/6f/1AAQAEwAiAC4AOQBHAF0AewCaALUAzQDoAQcBJgFAAVYBbgGNAawBxwHfAf0CIQJEAl8CcgKGAqMCxQLpAwwDMANXA30DoQPCA+MEBwQtBFQEfASmBNEE+QUbBTcFUAVtBZEFtgXWBfAGBQYMBeMFbASuA/sDxARUBZcHMAjAChYLLwwGDI4MugyVDDALkAqwCaIIowf5B8IH3QgRCD8IeQjaCVsJygn1CdoJrAmsCesKQAprCksJ8wmRCT4I9QilCE0IAgfRB7MHkwdnBzcHDwbyBtgGvAaiBpQGkwaeBq4GvwbMBtMG0AbDBqwGkQZ6Bm0GZQZXBjgGDQXmBdAFxAWwBYgFVAUiBPwE2gSwBHYENAP0A7oDgAM7AukCnQJwAm8ChQKEAkEBtwEKAGr/9v+v/4H/WP8s/v3+0/6y/pj+f/5i/j/+Hv4E/fH92/29/Zf9cP1P/Tb9Iv0R/Qb9BP0N/SD9Mf03/S79Gf0B/Oz84fzh/O38/v0L/RP9G/0q/UD9U/1d/WX9d/2b/cv9//45/n/+zP8Q/zv/T/9X/2T/ev+b/8L/6QAIABwAKAA5AFYAeACWAKoAugDMAOQBAAEfAT8BYgGEAaQBxgHsAhICLgI8AkMCSwJaAm4ChgKhAr0C1gLsAwIDHQM9A1sDcwOGA54DvAPdA/wEGQQ6BF4EfQSSBKEErwTCBNoE8QUFBRYFJgU4BUwFYAVzBYMFkgWiBbMFwwXQBd0F6gX3BgEGCgYUBiIGMgZBBk4GWgZkBmkGagZqBm4GcwZ0Bm8GaQZoBmwGbAZhBlEGQwY5BjAGJQYcBhkGGQYWBg4GBQYBBf8F/QX5BfkF/QYCBgQGCAYTBiIGLgY5BkkGZgaFBpkGoQauBtEHBwc6B1kHXgdQBzQHFgcIBx4HUgeAB4wHfQd4B5gH0ggECD0ICAfRB64HrAfeCEoIxQkGCNwIbQgVCBYIXQijCL4IvQjACM8I0wjDCLAIsgjHCNsI5AjuCQEJFwkjCSEJHQkjCS4JOAlDCVUJbAmBCY4JlwmkCbUJxQnVCeoKBQofCjMKQQpUCmsKfgqECoQKigqbCrAKwQrOCtkK4grvCw8LUguwDAMMJAwTC/cL9QwXDEkMegysDOANBA0HDO8M5Q0RDXMN4g4qDi0N9A2iDVsNMg0gDQwM5wy4DJAMdgxfDD0MGQwKDB0MQAxYDFsMWAxcDGgMbwxnDFQMOQwWC/IL2gvZC+ML2gunC0wK4Qp+CigJ4QmoCYEJaQlYCUoJRAlHCU8JUwlXCWUJhAmtCdoKCgpCCn0KpwqwCpYKZQojCc0JYAjpCHoIIgfiB7QHlAeDB34HgQeIB5MHngemB64HvwfhCAsILghGCGEIhgiuCMUIxwjXCR4JqApSCucLQAtcC1ILOAsbCwAK4wrACpQKZAo1CgoJ4Qm7CZsJhAlxCVsJQQksCR4JEwkACOgI1QjMCMUIuAijCJEIhgh6CGcIUghHCE0IXwhzCIUIkwieCKgIugjXCPII9gjmCOAI/AkoCTEJAAi9CKgIzwj5COkInwhaCEUISQgwB+kHmQdrB1gHPAcLBtwGzAbUBtMGvQaiBpUGlQaRBoIGcgZqBmIGUAY0BhsGDQYFBfgF5QXQBb8FrAWVBXsFZQVSBT4FJgULBPAE1QS7BKMEjAR0BFUEMgQQA/QD3QPFA6oDjwN0A1kDOQMXAvYC2QK8Ap8ChAJvAlwCRwIuAhMB+wHiAcUBpQGHAW0BUgEvAQYA3QC3AJAAYgAs//X/xf+b/3H/Q/8P/tr+qv6A/ln+L/4D/dj9sf2N/WP9MPz6/Mv8qPyJ/GD8Kfvo+6n7dftP+zP7H/sM+vr65vrV+sX6sfqM+lP6Cvm7+XD5LPjw+Lr4hfhP+Bf34fet93v3Svcc9vD2xfaY9mj2PPYW9fL1yPWX9Wv1TPU09RT04/Ss9Hv0UfQn8/7z4PPW89HzufOG80vzIPMG8u/y0fK38q/ytfKy8pnycPJL8i/yF/H78dvxtvGG8UnxCfDV8K3wh/Bb8DLwIPAl8C3wI/AN8AbwHvBI8GjwbPBY8D/wLfAj8B3wFvAU8BnwKfA+8FHwXfBm8HnwmfC98NTw2fDS8Mrww/C+8L3wxPDR8N/w6/D88RzxTfGR8efySfKf8sbytPKS8q3zMPP+9MT1P/Vr9XP1fPWN9Zj1mPWR9Yf1e/Vw9W71e/WL9Yz1fPVp9WP1Z/Vj9VD1O/VB9XL1x/Yl9mn2fvZp9kf2QfZq9rn3EfdY94j3p/fA99v3+fga+Db4RfhB+DD4H/gZ+B/4K/g1+EH4V/h++LT46fkY+Uj5kPn8+nX6y/rY+qb6a/pZ+nn6tPry+zb7lvwY/Kj9Lv2i/g3+dv7f/0D/mP/nADAAbgCeAMQA6wEiAXgB6wJqAtYDGwM6A0sDYQOCA6cDzgP6BCYEQwRDBCoEEQQIBAoEBwQBBAsENQR5BMMFCAVOBaAF/AZXBq0G+wc9B2sHhweoB+UIPAiUCNUJBQk3CXgJugnxCiEKVAqKCrMKwgrDCsQKxQq5Cp8KjAqUCqMKhAoPCVQIlQgWB/EIFAhYCJMIqQiXCH4IiwjQCSkJWglJCRoJDAk8CYgJuQm3CZoJjAmcCcAJ7AokCnEKyQsTCzsLRwtPC2MLfguTC6ILtgvTC+4L9wvpC9MLxAu/C8IL0AvvDBUMKgwjDBoMQgyzDUsNwA3jDcQNoQ2nDdAN8g3zDd0N0g3pDhoOTw51Do4OqQ7PDvwPJQ9GD2QPig+4D+AP+RAAD/0P9w/wD+oP7A/7EBAQIBAnEC8QQRBbEG4QchBuEG0QdRCAEIkQlxC2EOgRGxE4ETMRFxD7EO4Q6hDFEEUPOA2XC5cJlAf5BxUHAwegCJcJiAo9CrILAQs/C2sLfAt1C2ELRQsaCt4KmQpVCgsJtwlnCT8JUQl6CXMJFwiGCAoH0gfLB8IHnAdsB0sHOgcgBu4GsQZ9BlgGNwYOBeEFuAWSBWYFLwT3BMcEpgSOBHsEaARUBDkEGAP2A9oDxAOtA40DZQM9AxwDBQLxAtgCtQKJAmECRgI7AjYCJgIFAdgBpwF4AU0BJwEJAPYA5gDOAK4AjQB0AGcAYQBaAFIARwA3ACQAEAAA//b/7P/e/8r/sv+X/3v/Yf9O/0H/Nf8m/xH++/7k/s7+uP6n/pz+l/6T/pD+jf6K/oH+bf5M/if+Bv3p/cz9rf2O/XP9Wf09/R38//zj/Mv8s/yd/Iz8gfx5/HD8Y/xU/Eb8Pfw4/Df8N/wz/Cv8Ifwa/Bb8EvwK+/778vvo++L73vvb+9j70fvG+7j7q/uh+5j7jfuB+3b7a/tg+1X7TvtI+0P7PPs2+zb7PPtA+z37OPs3+z/7SvtT+1r7X/tj+2P7Yfti+2n7cPtx+2r7Zvtw+4b7mfuh+537mvud+6b7svu9+8P7w/u++7n7ufu9+8D7v/u++8D7xPvG+8X7xPvH+8v7y/vG+8D7vvvA+8L7wvvA+8D7wvvD+8T7x/vL+8/7z/vO+8370PvV+9v73/vi++b76/vx+/X7+fv8/AP8DfwY/CD8Jvwu/Dr8R/xR/Ff8W/xg/GP8ZPxl/Gn8c/x9/IT8h/yK/I/8lfyc/Kb8s/y//Mn80PzX/N/86Pzu/PL8+f0E/Q/9F/0c/SP9LP01/Tr9Pv1D/U39Wf1m/XH9ff2G/Yz9jf2Q/ZX9nv2o/bL9u/3C/cX9xv3I/c391v3h/ez99/4D/g3+Fv4h/i7+PP5F/kz+Vv5q/oX+of63/sj+1P7g/u//BP8d/zT/Q/9J/1D/Wv9n/3D/c/92/4D/j/+c/6X/rf+4/8X/z//T/9f/3v/r//oACQAYACYAMwBBAFYAcgCTALEAzQDpAQgBJAE8AVMBbwGOAasBwgHaAfkCIAJCAlcCZQJ6ApkCvwLhAv8DHQM9A10DfAOcA8AD5QQHBCYESQR2BKgE1QT1BQ0FJgVHBW0FkwW1BdgF+QYBBcwFQQR7A88DpgRBBYgHIgiqCegK2AuQDB0MegyTDEsLkwp6CT8IOQeqB5AHtQffB/8INgikCTgJugn2CegJwwm9CeoKKApECiUJ1wl6CSAIzAh4CCoH7gfGB6YHgQdVBywHDAbxBtQGtgagBpcGngauBsAGzgbYBtwG2QbPBrsGowaMBnwGcQZfBj0GEwXwBd8F1wXFBZ4FZwUyBQgE4wS4BIAEPQP6A7oDfAM4AvECtgKaAqICswKhAkwBuAEOAHgADP/D/43/W/8r/v3+0/6u/o3+bv5O/i7+Ef34/eT9zv2z/ZP9c/1Y/UL9MP0e/Q79Bf0H/RX9Jf0u/Sr9Gv0G/PL85fzh/On8+P0J/RX9IP0v/UP9VP1e/Wb9dv2U/b397P4j/mf+sf7z/yD/N/9D/07/Xf90/5b/wP/qAAoAHwAyAEoAZAB5AIYAlACrAMwA8AERAS8BTgFxAZcBwQHtAhgCPAJUAmICbAJ4AokCngK3AtIC6QL9AxADJwNDA2ADfAOYA7cD2AP6BBkEOQRdBIIEoQS4BMoE2gTtBQIFFgUqBT4FUQVkBXgFjAWfBbEFvwXMBdkF5gXzBf8GCwYWBh4GJgYwBjwGSAZRBlkGZQZ0BoAGhQaGBokGjgaRBo0GhQZ/BnoGcgZlBlUGSAY+BjIGJAYZBhYGFQYQBgcGAAX/BgIGAwYDBgUGDQYUBhkGHQYlBjIGPgZKBlwGdAaKBpUGmwavBtcHBQchByYHJAcrBzQHMwcmByAHKQc2BzwHSAd2B8oIIghOCCMH1QeiB5sHuwgDCHMI5wkgCPgIjwg2CCgIVAiCCJMIlgilCLoIvQinCJMIlwiwCMYI0QjbCPEJCgkUCQ8JCQkNCRsJKgk4CUsJYgl2CYAJiQmXCasJuwnHCdMJ6AoBChkKLwpHCmAKbwpzCnEKeAqGCpYKoQqsCrsKxgrJCtcLCgtoC9EMEwweDAsMAgwTDDAMUwyBDL4M+Q0VDQoM+Q0JDUcNlg3HDb4NgA0vDO0MzAzCDLYMlAxiDDEMCwvmC7ULgAteC2ELfgueC7ELvQvMC9wL6QvsC+gL3gvOC70LuAvBC8kLsgtuCwoKoQpHCf4JwgmWCX4Jdwl2CXYJeAmACYsJkwmdCbIJ1QoACi4KYQqbCtYK/gsCCuEKpgpZCfkJhgkNCKAISwgPB+YHzAe/B7wHvgfFB88H2AffB+gH/QgiCEoIZAhzCIgIrwjaCPEI8QkCCVEJ6wqmC0cLpwvHC8ALqAuMC28LSwsfCusKtQqCClMKJQn6CdcJwAmvCZ0JiQl4CWwJXwlKCTEJHgkWCRAJBAjyCOMI2gjNCLkIpAidCKgIvQjSCOEI6wjvCPUJCAkqCUwJVAlCCTcJUgmGCZwJcQkiCO4I8QkCCOgInwhbCEYIUAhGCBAHyAeSB3QHVgcvBxAHBgcIBv8G5wbUBtEG2AbTBsEGrgajBpsGhwZrBlMGRwY/Bi8GFwX+BeoF1gW/BagFkwWABWsFUAUzBRkFAAToBNIEuwSiBIMEXgQ9BCQEEAP4A9kDuQObA4ADYgNBAyEDBALpAswCsQKYAoUCcgJcAkICKAIOAfEB0wG2AZsBgAFgATwBFwDxAMkAmQBlADEABP/c/7L/gv9N/xj+6/7D/pv+b/4//hD95v3B/Zr9a/03/QX83fy7/Jb8ZPwm++b7sfuN+3j7bPtd+0f7LfsS+vf61vqn+mz6J/nh+Z35Xfki+O34ufiF+FD4G/fn97T3gvdS9yj3APbV9qj2evZS9iv1/vXJ9Zf1cvVX9Tr1FPTn9Ln0ivRS9BXz4PO685rzb/M28v/y3PLJ8rbyn/KP8o7ykfKD8mLyPvIr8iDyB/HT8Y/xUPEg8Pzw3vDF8LLwm/B78FrwRfBB8D/wMPAX8AvwGvA78FfwX/BX8EzwRvBA8DPwIfAU8BXwJvA+8FPwYvBz8JLwwfDz8RXxHfEM8O/w0vDC8MPw0fDg8Orw8vEF8SnxXfGg8fnyaPLO8v3y5vK38sbzRPQR9NT1R/Vs9XD1fPWO9Zb1jfV69Wn1WfVL9UL1RPVI9UP1N/Us9Sn1KPUb9Qf0/vUY9VX1ofXi9gb2D/YL9g32JfZY9p325fci91H3cveK96D3uvfZ9/f4CPgJ9//3+ff++Ar4F/ge+Cb4OPhc+I74w/jx+SH5afnT+kv6nvqo+nH6MPoa+jr6ePq7+wX7avvs/Hf88f1X/bf+Hv6K/vP/VP+uAAMASgB+AKEAwgD0AUYBuQI6AqsC9QMVAxwDHwMrA0IDYwOKA60DwAO8A6wDpAOrA7UDuQO9A9YEDwRbBKME4QUgBWoFvQYOBlkGowbnBxwHQAdkB58H9ghSCJwI1QkPCVMJmQnWCgwKRQp/CqsKvAq1CqAKggpcCjoKLgo5CjUJ8QldCKEIAweuB6YH0ggTCEsIYAhQCEEIaQjZCVwJnAlyCQ8IzQjhCSwJbQl8CWcJVAlZCXMJnwniCjwKmQreCvwLAwsNCyQLPgtSC2MLfQuhC78LyAu9C6oLnguaC5wLrQvQC/sMEQwDC+cL9AxLDNkNXA2bDZQNdA1tDYcNpw2wDaUNnw22DegOHA4+Dk8OYw6LDsEO9A8XDzAPTA9zD54PwQ/ZD+MP4Q/WD8YPvw/JD94P8xACEAwQGxAuED0QRRBLEFQQYBBoEHAQghCpEN0RChEYEQcQ5xDPEMcQuBByD78Ofgy8CroI2weDBvUHNAgACPcJxgpRCq4K+gs6C1wLWgtFCzQLJQsCCsEKcQonCeMJkwk9CQUJDAk5CUYI/AhxB+4HrQelB6MHhQdYBzQHHwcEBtUGnAZqBkcGJgYABdQFqQV+BU4FGATlBLwEngSEBGwEVQQ+BCMEAQPeA8ADqQOTA3gDVAMvAw4C9QLgAsoCrgKKAmQCRgI1AisCGwH+AdUBqAF9AVMBKQEGAO0A3ADLALYAmwCAAGoAWwBRAEkAQAAwABsAA//w/+T/3v/W/8n/tf+b/33/Y/9Q/0P/N/8o/xP+/f7m/s3+tv6k/pv+mP6U/ov+gv59/nn+bf5V/jb+Fv34/dn9uf2Y/Xj9Wv07/Rz8//zn/NH8uvyj/I/8gfx3/G78ZPxY/Er8P/w3/Db8Nvw0/Cv8HvwS/Az8CPwD+/v78Pvl+9z71vvS+8/7yfu++7L7pvue+5f7j/uF+3r7bvti+1f7T/tK+0X7QPs9+z/7RPtH+0X7QPtB+0v7WPtk+2z7cPty+3H7bftt+3L7dvt3+3T7ePuG+5r7pvuo+6T7ovum+6v7rvuw+7L7sfus+6b7pPun+6n7qPum+6r7sfu3+7n7uPu4+7r7u/u4+7P7svu0+7f7t/u2+7X7t/u5+7z7v/vC+8b7yPvJ+8n7yvvN+9L72Pvd++D74vvn++378/v5+/78BfwM/BT8G/wk/DD8PvxH/Ev8TPxO/FH8VfxZ/F/8Z/xw/Hf8e/x+/IH8h/yQ/J38q/y4/MD8xfzM/NX84Pzp/PL8+/0H/RD9Fv0Z/R/9KP0z/Tv9QP1G/U79WP1j/W79ef2C/Yf9iv2N/ZH9l/2g/ar9tP26/b39vv3B/cn91P3h/e79+/4F/gz+Ef4Y/iP+Mf48/kX+T/5h/nr+lf6u/sH+zv7Z/uT+9P8J/x7/LP8z/zr/Rf9S/1z/YP9k/2//f/+N/5b/nv+p/7b/wP/G/83/1//j//H//wAOAB4ALwBAAFcAdQCVALQAzwDqAQYBIQE6AVIBbgGLAaQBuwHUAfUCGAIyAj4CRgJZAnkCnQK8AtYC7wMJAyEDOgNbA4gDuwPnBAoELARWBIMEpwTABNYE9gUjBVEFeQWgBc0F9wX7BbQFFARGA6YDlARDBZcHMAimCb8KggsdC7UMQQyMDFYLhgpHCPoIBweeB6QH0QfyCAgIPgizCU0JzgoHCfsJ2gnSCesKCQoJCeAJnAlOCP0IqAhTCAwH2Qe1B5QHbgdIBygHCwbrBscGqAaYBpsGrAa/Bs4G1gbYBtgG1gbSBsgGtwakBpIGgAZoBkYGIAYDBfUF6gXUBaoFdQVBBRcE8gTHBI0ERgP4A6sDZAMlAu4CyQK9AsYCzAKrAk4BwAEiAJcAKv/X/5P/WP8m/vr+0P6o/oP+Y/5H/i7+FP37/eP9yv2v/ZP9dv1d/Ur9Ov0s/Rv9C/0B/QL9C/0U/RX9Df0C/Pb87vzr/PD8/P0K/Rb9If0u/T/9Tv1a/Wb9d/2R/bH92f4K/kj+jP7J/vX/Ef8m/zn/Tv9l/4P/q//X//4AHQA4AFMAagB5AIEAkgCzAOEBDAEpAToBSwFmAYsBuQHrAhwCRwJmAnoChQKPApwCrgLFAt4C9QMKAx4DMgNIA2EDfQOdA8ID5wQKBCwETgRyBJQEsQTJBN8E9AUIBRoFKwU9BVMFaAV8BY8FowW5Bc0F3QXqBfUGAQYOBhsGJwYyBjoGQgZLBlUGWwZfBmUGcwaJBp0GqQatBq8Gswa0BqwGnQaMBn0GbgZeBlEGRwY+BjEGIgYXBhQGFAYQBgkGBAYHBg0GEQYSBhYGHwYmBikGKwYyBj8GTgZaBmYGdAaBBo0GnQa8BuEG9gbpBs4GzAb6B0EHdQd7B1sHMQcOBwQHJAd8B/EITAhbB9MHjQd3B40HuAfzCEsIswj4CO4IoAhOCC0IPghYCGYIcgiHCJwImwiFCHQIfQiXCKwIuAjECNsI8gj6CPQI8gj+CREJIQktCT4JVglqCXUJfQmMCZ8Jrgm2Cb4JzwnnCgEKHAo4ClIKYgpjCmAKZApvCnkKgAqLCp0KrAqvCrMK2QsyC6ML/QwjDCUMIgwoDC4MNAxMDIYM0w0RDSUNHQ0bDTMNWQ1tDVkNIQzfDK4MmQyVDIgMYgwnC+oLtwuIC04LDgraCsQKywrfCvYLEgszC1YLcAt+C4MLgwuBC4MLjQucC54LegssCsgKagogCeUJtwmYCY8JlwmkCa0Jswm9CckJ1gnnCgEKJgpQCnwKrgroCyILRgtDCxsK2QqFCiAJqwkzCMgIdgg8CBgIBAf9B/wH/ggDCAsIEwgYCCAINghaCIAImAiiCLQI2QkCCRcJGgkzCY8KMwrzC5ML9AwZDBoMCgvyC9ILqwt7C0MLCArPCpwKawo+ChkJ/wnuCd4JzQm8CbAJowmSCX4JcAloCWEJVAlECTgJLgkgCQwI+Qj2CQQJGgkuCTsJQglCCUQJVQl8CagJvAmwCaIJuAnqCgYJ4AmGCTUJEgkHCOYIpAhpCFgIYwheCDAH7AeyB40HcgdXB0UHPwc7BysHEwcFBwoHFAcPBvwG6AbdBtMGvwalBo4GgQZ1Bl8GQwYpBhYGBAXuBdYFwQWuBZcFewVfBUYFMAUYBP8E5gTLBK4EjQRtBFQEPQQiA/8D3AO/A6YDjQNwA1ADMwMYAvsC3ALBAqwCmwKIAnACVgI7AiECBQHoAcwBsAGSAXEBTgEmAPwAzgCeAHEARwAe//L/wf+N/13/Mf8I/t7+r/56/kb+GP3x/c39ov1u/Tf9Bvzf/L38l/xm/C/7/vvc+8j7ufum+4v7a/tL+yf6+vrC+oT6RPoH+cv5kPlX+SP48vjA+Iv4Vvgi9+73u/eL92D3OvcT9uf2u/aS9mv2PvYJ9dL1ovV79Vj1NPUR9PD0y/Sb9GD0JPPv873ziPNR8yTzCPL08tzywfKy8rHysPKa8nPyUPJB8jTyC/G68VrxD/Do8Nnwz/DB8LLwn/CK8HPwYfBX8EvwNfAb8AvwEfAj8DPwOPA78ETwU/Bc8FXwQPAq8CHwKfA78FHwavCO8MLxAvFB8WvxdfFd8S3w/PDf8N/w8PEA8QLxAvER8TfxbfGu8gXyePLp8yTzE/Lg8uTzWfQe9Nv1SfVn9Wn1dPWG9Yz1fPVj9U71P/Ux9SL1FfUJ9Pn06/Tm9Ov07vTm9Nb01/T39TD1afWO9Z31pvW49dj2A/Y39nD2rPbl9xX3N/dN9133cfeJ96D3rPeu9673s/e/98v30/fd9+34Cvgx+F34hvis+Nr5IfmJ+gD6Wvpz+lD6HPoH+iH6WfqY+uD7Pvuz/C38mvz6/V39y/4//q7/FP91/9IAIQBWAHMAiwC2AQcBfQIDAnkCxQLeAtkCzQLOAt8C+gMXAzADPQM+AzwDQgNUA2cDdwOLA7MD8wQ9BH4EtQTtBTAFegXABgMGRgaKBsMG8AcdB18HtggRCFsIlwjWCSEJbgmzCe4KJwpcCoIKigp3ClQKKgoBCeMJ1wnNCZ0JLAiGB+MHewdaB2wHlwfKB/gIDAgECAgITgjkCYQJyQmJCP4IlgiOCM8JFAkyCTEJLQk1CUoJcAmxCgwKZwqjCroKvwrMCuUK/wsRCyQLQwttC44LmwuUC4cLfgt4C3cLhwutC94L+gvqC8ALrgvhDFkM4g1ADVgNRA0xDToNVg1tDXcNgw2nDeAOGA43Dj8ORw5nDpsOzQ7qDvcPCA8oD1YPgw+lD7sPwg+6D6YPlA+PD5sPsQ/ID9wP7xAAEBAQHxAwED8QSBBLEFIQbBCZEMsQ6xDrENMQuBCnEJsQcA/4DwYNjwuzCcMIIQciBu8HcAhWCUEJ7wpaCqQK7AsrC0gLPAsgCw8LBQrlCqEKTQoFCccJfAkcCMwIuQjfCP0I1QhkB+YHlwd+B3kHZAdABxwHAAbgBrQGhAZZBjcGFQXvBcYFmwVuBTsFBgTZBLcEmgR8BFwEPwQlBAkD5wPDA6MDiwN2A10DPwMeAv8C5ALNAroCpAKJAmoCSgIxAh0CBwHpAcQBnwF8AVcBMAEIAOgA1ADHALoApgCNAHIAWwBKAD8ANQAmABH/+v/m/9j/0f/K/8D/sP+Y/3z/Yv9O/0D/NP8m/xb/BP7v/tb+u/6o/qD+nv6Z/o7+gf55/nX+a/5Y/jz+Hf3+/d39vP2a/Xv9XP09/R39Afzr/Nj8xPyu/Jn8h/x5/G38Y/xZ/E78Q/w7/Df8N/w1/Cz8HvwQ/Ab8Afv9+/f77vvk+9r70vvM+8j7w/u7+7H7p/uf+5j7kPuG+3v7bvth+1b7TvtL+0r7SPtI+0r7TvtP+0z7SftL+1T7X/to+277cvt2+3f7ePt6+337f/t++377hPuQ+5z7ofui+6b7rvu0+7D7pvuf+6D7pPul+6D7m/uZ+5j7lvuT+5X7nfum+6n7qPun+6j7qfun+6P7ofui+6X7pvun+6f7qfut+7D7svu0+7f7u/u/+8H7wvvE+8j7z/vU+9f72Pvb++L76/vy+/j7/fwE/A38Ffwd/Cf8Mvw6/Dz8O/w7/EH8SfxQ/Fb8Wvxh/Gj8cPx1/Hn8ffyG/JL8ofyu/Lf8vfzE/M381/zh/Oz8+P0E/Q39E/0W/Rv9JP0u/Tj9P/1G/U39Vv1g/Wv9d/1//YX9iv2N/ZL9l/2e/aX9rv20/bf9uf2+/cb90P3d/er9+f4F/gz+EP4V/h/+K/43/kD+S/5b/nL+i/6k/rn+yv7W/t7+6P73/wn/GP8j/y3/Of9E/0z/Uf9X/2P/cf98/4T/jP+X/6T/r/+3/8H/zv/d/+r/9gAEABUAKAA+AFgAdgCWALEAyADfAPsBGAE1AVABaQGCAZsBswHPAfACDQIgAikCMwJGAmICfgKYArUC2AL5AxADIgM9A20DrAPnBBIEMwRRBGwEfwSOBKoE2gUVBUoFcgWZBccF7wXnBYkE1wQJA38DkwRnBdIHawjGCa0KPAq8C1wMCAxtDDsLXwocCOQIFwfSB+cIEAglCDcIcQjoCXoJ6QoMCfMJ0AnGCdIJ1Qm6CYkJVAkfCOAIkAg5B+8HvQebB30HXAc8Bx8G/gbXBq8GlAaQBqEGuAbMBtYG2gbZBtcG1gbUBtAGxQa0BqIGjQZyBlIGMQYXBgMF7wXQBaQFdQVKBScFBQTaBJ0ETAPuA5IDRQMPAu0C3ALYAtoCzgKfAkIBvwEyAK8AQf/j/5T/U/8h/vf+zv6m/oP+Z/5R/jz+I/4I/e390v24/Z39gf1n/VL9Rf06/S39Gv0H/Pv8+v0A/QX9A/z+/Pn89/z3/Pv9Av0N/Rj9Iv0u/Tr9R/1V/Wb9fP2W/bP91P3+/jP+bP6f/sT+4P77/xz/Pf9e/37/of/H/+0AEwA6AGEAggCVAKEAswDYAQoBOQFXAWgBdgGMAawB0QH5AiICSAJnAnwCiQKUAqICtQLMAuUC/wMaAzMDSANZA2oDgAOfA8UD7QQRBDQEVQR2BJQErQTFBN8E+QUPBSAFLwVABVYFbAWABZQFqQW/BdUF5wX3BgcGFwYmBjYGRQZRBlsGYwZsBnMGeAZ6BoEGkgaqBsAGzAbOBswGygbEBrQGngaIBnYGZwZbBlIGTAZGBjoGLAYjBiEGIgYeBhUGEAYRBhUGFgYWBhoGIwYrBi0GLgY3BkcGWQZjBmoGcwaEBpwGvQbhBvoG8gbHBpkGmgbgB00HpAe+B5sHWgccBwEHIQd8B+sILQgdB3oHVwdlB40HqQe/B+4IQwiUCKwIgQhACBwIIAgzCEMIUghmCHYIdAhlCF0IagiCCJUIoAiuCMQI1wjcCNoI3wjyCQcJFQkgCTIJTAliCW4JdQmBCZIJnwmmCa4JvgnWCfAKCQokCj8KUQpUClEKUQpWClsKXQplCngKiwqTCpgKuQsJC3cL2gwXDDMMQQxGDDsMJgwlDFIMpgz7DSsNMQ0nDSQNKg0pDRQM7AzADKEMkwyMDHoMTwwRC9ELmgtlCykK5gqoCn0KaApjCmwKiQq4Cu4LHAs4C0ULSwtOC1QLXwtoC1wLLQrgCooKQwoPCegJxwm0CbMJwgnUCeEJ6gn0CgIKFAosCk4KdgqeCsQK7gsiC1ULcwtrCz8K+gqkCj4JywlXCPEIoQhrCEsIPQg8CD4IPwhDCEgITghQCFUIaAiLCLAIyQjXCOsJDgkxCUEJRgloCc0KcgsoC74MHAxLDF0MWwxJDCsMBAvVC50LXgsgCuoKuAqLCmIKQwouCh0KDAn9CfIJ6gngCdQJyQnACbYJqAmaCY8JhAl1CWIJVAlVCWMJdgmGCZMJnAmdCZ4JrgnZChAKLwonChAKEgoxCkQKHwnFCWsJNwkgCQAIyAiTCHsIeQhsCD8IAQfNB6sHlQeCB3YHcAdnB1QHPQczBzoHQwdBBzIHJAcaBw8G+QbfBsoGuganBowGbgZXBkcGNgYfBgUF7gXaBcIFpQWKBXMFXQVEBScFDATzBNoEvQSeBIEEZQRHBCMEAQPmA9ADugOfA4EDZANIAyoDCQLrAtQCwwKxApsCgQJoAlACNgIaAf0B4AHDAaMBfwFWASsBAgDaALMAigBeAC/////Q/6P/eP9N/x/+7P61/n3+TP4k/gH92f2j/WT9KPz7/N38w/yj/Hr8Ufww/Bf8APvl+8T7ovuA+1f7I/rl+qT6aPow+fr5wvmM+Vn5Kfj4+MP4jfhZ+Cb38vfB95T3bPdE9xf26Pa89pT2bPY/9g312/Wt9YH1WPUz9RL08/TP9KX0ePRK9Bvz6PO685bzfPNg8zvzF/MD8wHy/vLp8sPyofKJ8mryKfHF8V7xHPEI8QzxC/D18NLwrfCL8G/wW/BN8D/wLPAX8ArwCvAP8BHwEfAX8CzwTPBm8G/wZfBT8ETwP/BE8FXwd/Cu8PXxQfGD8a7xuvGj8XPxPPEZ8RbxJvEu8STxFfEb8UDxdvG28gjyd/Lt8zXzMvMG8wfzbvQk9NT1OfVT9VL1XPVv9XX1ZPVH9S/1HfUL9Pb03vTF9K/0ofSk9LX0xPTF9L30vvTX9QH1J/U69UP1U/V09aL11fYI9j72eva29uf3BvcT9xr3JPcw9zr3Pvc990H3SPdN90z3TPde94b3u/fu+BT4L/hK+HT4ufkc+Y/59Pos+jP6I/og+jn6Zvqb+tf7I/uC++j8S/yt/Rf9jv4F/nP+2v8+/6H/8wAmADwASwByAMMBPgHJAkECiQKcAo4CfQJ9AowCoQKzAsECzALVAt8C7wMFAyADPgNiA5UD1QQWBE4EfQSxBO8FNAV3BbcF9wY3BnEGpAbeBykHgAfTCBQITgiRCOMJOgmHCccJ/gooCjkKKgoGCd0JvAmkCZMJfglNCOgITwepBzEHBgcYBz8HZAeHB6kHuQe1B8AIEAipCUYJggk8CLEITQhECH8IvgjgCOsI9Aj+CQsJKQloCcUKIQpaCm0KcgqCCp0KtQrHCt4LAwsxC1YLZgtlC18LVwtOC0cLUAtzC6YLygvGC58LewuNC+cMbQziDRoNFgz8DPQNCA0nDUINXw2NDc8ODg4xDjYONw5ODnwOqQ7BDscO0Q7rDxIPOQ9WD20Pfw+JD4YPdw9qD2kPeA+SD64Pxw/cD/EQBxAcECYQJBAfECoQThCCEK8QvxC0EJsQhhB1EFUQAQ9QDiMMgAqcCNAHfQbhBwIHsAiaCW8KAgpZCpgK2AsSCy0LIQsFCvEK4Qq8CncKJgnmCbQJcAkNCK0IgwifCM0IyAh1B/oHkwdbB0cHOQciBwMG3wa3Bo4GaQZJBikGBgXeBbYFjgVgBSwE+QTRBLMElQRwBEoEKQQPA/MD0QOrA4oDcQNaA0IDJQMIAuwC0wK9AqsCmwKHAmwCTQIvAhMB9gHVAbIBkQFzAVUBMgEKAOcAzgC/ALQApgCSAHgAXgBJADkALAAeAAz/9v/i/9H/xP+4/6z/nf+J/3H/Wf9E/zT/KP8d/xP/CP73/t/+xP6w/qf+pP6e/pL+hP56/nH+Zf5S/jj+G/38/dr9tv2U/Xb9W/0+/SD9Bfzv/N38yvy2/KH8jvx8/G38YfxX/E38Q/w6/DX8NPwy/Cv8H/wR/AX7/fv1++375fve+9f70fvM+8j7xPu++7b7rPuh+5f7jfuC+3b7avte+1T7T/tP+1L7VPtX+1n7W/tb+1n7V/ta+2H7aftt+3D7c/t4+337g/uI+4v7jfuM+437kfuX+5r7mfud+6n7uPu++7P7oPuX+577rfuz+6z7nvuU+477ivuG+4X7i/uT+5j7l/uV+5f7mvud+5v7l/uV+5X7mPua+5z7nvuh+6T7pvum+6f7qvuv+7L7tPu1+7j7vvvF+8j7yvvN+9T73Pvk++r78fv8/Aj8Evwa/CD8J/wr/Cz8Kvwr/DL8PvxI/E38UPxV/F78afxy/Hf8evyA/Ir8lvyk/LD8uvzC/Mn8z/zY/OL87vz6/QT9Cv0P/RX9Hf0m/S/9Of1B/Uj9Uf1d/Wr9eP2B/Yf9jP2S/Zj9nv2j/aj9rv20/bj9u/3A/cf9z/3Y/eP97/38/gf+D/4W/h/+Kf4y/jv+SP5Z/m7+hf6b/rD+w/7R/tn+4f7s/vr/Cv8Z/yf/NP8+/0T/SP9P/1r/Zf9s/2//dv+D/5H/nf+n/7P/xP/W/+b/8wAAAA8AIAA1AE8AbQCKAKMAtgDMAOkBCgEqAUYBXwF4AZMBsAHPAfACDgIoAkACWgJ0AogClwKtAtgDFwNRA3ADdQN5A5QDyAQABCsERwRXBGEEaAR5BKEE4gUnBVwFfgWdBcEF2AW3BUAEgQPAA1sDowSrBjgH0QkFCa8KBwpsCxALyAwsC+4LEQnsCOoIUwgnCDgITwhZCGoIqAkZCZcJ6QnxCccJnwmVCZsJkAloCTUJDwjyCMYIfAghB9MHoAeCB2gHSgcrBwoG5Qa8BpgGiQaSBqkGvwbOBtQG1wbYBtYG1QbSBs0GwgazBqIGjwZ4BlwGPgYiBgcF6AXDBZoFdAVVBTsFHATuBKkESwPfA3oDMQMMAwEC/gL3AuQCvwKAAiEBqQEoAK0APv/f/4//T/8d/vT+zf6n/oj+b/5b/kX+LP4R/ff93/3I/bH9l/18/WT9U/1J/T39LP0V/QL8+/z//QT9Bf0B/P78/v0B/QX9Cf0P/Rj9I/0v/Tz9Sf1Z/W79iP2k/b792f35/iL+UP56/pr+tf7U/vr/Jv9P/3P/lP+1/9f//wAvAGYAmQC8ANAA3QD0ARgBQwFuAZYBvgHlAgYCHQIuAj4CUQJkAnQCgQKQAqICuQLSAuwDCQMqA0sDZgN4A4QDkwOtA9AD9QQYBDgEVgRzBI4EpgS+BNkE9QUOBSIFMwVFBVoFcQWIBZ8FtgXLBd4F8gYGBh0GMgZFBlUGZAZyBnwGhQaMBpQGmgafBqkGugbPBt8G5AbfBtcGzgbCBq0GlQaABnIGagZjBl4GWQZTBkoGPwY4BjcGNwYxBiQGGgYVBhQGEgYQBhUGIAYqBi0GLQY2BkgGWQZiBmgGdwaUBrsG4gb/BwkG+AbUBrUGvQb0B0QHhgegB5UHcgdLBzMHQQd5B7wH2Qe4B0AHSgd5B6YHrgefB6kH5AgvCFUIQggXB/8IBwgcCCwINghCCEwITQhHCEkIWQhvCH8IiQiXCKsIvQjECMgI0wjpCP4JCgkWCSwJSglhCWsJcAl6CYgJlAmaCaQJtwnRCecJ+QoOCicKOwpDCkEKPwpBCkMKQgpFClMKZwp2CoMKogrjC0ALnQvnDBwMQwxUDEgMKAwYDDkMhwzeDRYNIw0XDQkNAgz7DO4M2Ay/DKoMmgyLDHMMTAwaC+cLtwuEC0gLBgrICpUKbApMCjsKSAp0CrYK9QshCzgLPws+CzoLNAsnCwkK1QqUClgKLQoRCfsJ5wnaCdsJ6An5CggKFgolCjcKUQp1CqMK0Qr0CwwLIwtEC2gLfQtzC0kLCAq1ClIJ4wl2CRcIzQibCH8Idwh6CH8IgQiCCIYIiAiICIoImgi6CN8I+wkOCScJSgloCXMJeQmgCgUKngs/C8EMGgxXDIAMlAyPDHcMVQwqC/MLswtzCzwLDArfCrMKjQpzCmAKUQpECjsKNwozCiwKIwoXCgoJ/gnzCegJ2wnKCbsJtAm4CcMJzwnaCekJ+AoACgQKFQpCCnwKnwqTCmoKTwpPCk8KJwnWCYMJUwlACSkI/AjICKMIjQhzCEgIFgfuB9QHwgewB6MHmgePB38HbQdkB2cHbQdtB2YHYAdaB0wHNAcZBwMG8gbbBr0GngaKBnwGawZQBjIGGgYFBe4F0QW1BZ0FhwVtBVAFNAUfBQoE7wTOBKwEjQRuBE4ELwQUA/4D6APOA7EDlQN4A1kDNgMWAvwC6QLXAsECqgKSAnwCYwJGAigCCwHvAdABrAGFAV4BOgEXAPIAxwCZAGkAPQAS/+j/u/+M/1r/Jv7v/rj+h/5e/jv+Ev3a/Zb9Vv0l/Qf88/zc/Lz8l/x1/Fj8Ovwa+/j71vuz+4j7UPsP+s36kvpd+in59PnA+Y/5YPku+Pr4xPiQ+F34K/f69833o/d590n3Fvbm9r32mPZy9kf2GfXq9bz1jfVe9TL1C/Tp9Mz0r/SP9Gf0O/QR8/Dz0/Ov84LzWfNC8z7zPPMr8w3y7vLP8qDyUvHs8ZDxYfFg8XHxcvFU8Rzw2fCa8GjwR/A18CrwH/AT8AvwCPAG8AHv/fAE8BrwO/Bd8HPwe/B58G/wYvBa8GLwhvDH8RfxZPGf8cPx0fHH8abxe/Fc8VXxXfFa8ULxJfEh8ULxevG88gzydvLq8zrzRvMn8yjzgvQi9MH1HvU39Tf1Q/VZ9WD1T/Uu9Qz07/TS9LP0lvR+9G30avR49JP0q/Sz9Kv0pvSx9Mn04fTx9QD1GvVD9Xb1qPXb9hL2UPaL9rX2xvbF9r72u/a89rr2tPax9rL2svan9pP2i/am9uj3Ovd896L3tffN9/j4O/iV+P75Z/m8+fP6Ffo0+lv6ifq4+ur7Jvtw+8X8IvyH/Pj9b/3g/kf+qf8N/2//v//vAAMAEQA4AIgA/QGBAfMCNgJHAjoCLQIuAjsCSAJQAlgCZgJ6ApECqALEAucDEQNCA3oDtAPqBBkERQR2BLIE9QU7BX4FvgX5Bi8GZQamBvYHSweSB8kH/whECJsI+QlPCZgJ1Qn5CfcJzwmXCWoJVAlLCTsJDQivCB4HdQbmBqAGqwbfBxEHMAdKB2QHcQdrB28HqQggCJcIwQiKCCoH8wgFCD4IbwiICJMIngilCKoIxAkICW4JzgoFChUKGgorCkcKYAp1CpEKvQrvCxULJwsqCycLIgsYCw0LDAsjC00LeAuJC3gLWwtaC5YMCgyGDNcM5wzPDLwMxgzkDQENHQ1GDYYNyg33DgYODA4mDlgOjA6tDrwOyQ7gDvgPBw8NDxYPLQ9LD2MPag9kD18PZA93D5APqQ/DD90P9hAGEAUP9g/uD/8QLRBhEIEQgxBxEFwQRxAnD+IPWw53DSELawmUB/8HAwbEBykH8AjOCYkKCgpZCpEKxgr1CwsLAwrsCtUKuwqOCkkJ/wnICZ4JYgkFCKEIbQh+CLAIvwiCCAkHjAc3BxIHCAb/BucGvwaRBmsGUQY9BiIF+wXPBaUFfAVPBRsE6wTGBKkEiQRhBDcEFQP8A+IDwAOZA3YDWwNCAygDCwLwAtgCwgKvAp8CkQKAAmgCSQIpAgoB6wHJAaUBgwFmAUoBKwEIAOYAygC3AKkAnACMAHcAYABLADkAKgAaAAn/9P/f/8r/tv+j/5L/gf9v/1z/R/80/yT/F/8N/wb+//7y/t7+x/60/qn+o/6b/o/+gf50/mb+Vv5B/iv+FP34/db9r/2L/W39U/06/SD9B/zy/N/8zPy4/KP8kPx+/G38YPxV/Ev8Qfw3/DD8Lfwq/Cb8HvwT/Af7+fvr++D72fvX+9b71PvR+837yPvD+7r7sPuj+5X7iPt8+3D7Zvtd+1b7UvtT+1f7W/tf+2L7ZPtl+2b7aPtt+3T7evt9+377gfuF+4v7kPuV+5r7nfue+5/7ovuj+6H7n/ui+7D7vvvA+7H7n/ub+6v7v/vF+7b7nvuM+4P7fvt5+3b7eft/+4P7gPt8+337hPuO+5X7lfuT+5H7kvuU+5X7lvuY+5r7nfuf+5/7n/uf+6H7ofui+6T7qfuv+7X7ufu++8X7zfvT+9f74Pvu+//8DfwV/Bn8HPwe/B78HPwd/CX8Mvw//Eb8S/xR/Fz8aPxx/Hf8e/x//Ib8j/yc/Kr8t/y//MT8yPzO/Nj84/zt/Pb8/v0H/Q/9Ff0c/SX9Mf08/UX9Tf1Z/Wf9dv2A/Yb9jP2S/Zr9of2n/az9sv23/br9vv3D/cv90/3Z/d795v3y/f/+C/4V/h3+JP4s/jb+Rf5Z/m7+g/6W/qj+uf7H/tH+2v7k/vH/AP8Q/x//Lf83/zv/P/9F/0//V/9a/13/ZP9y/4L/j/+Z/6X/uP/O/+L/8wAAAA0AGQAqAEEAXgB7AJMAqAC/AN0BAAEfAToBUwFwAZIBtgHYAfoCHwJLAn8CsQLTAt4C3QLwAy0DjQPmBBEEBwPoA9sD7AQQBDEERgRTBFwEaQSHBL4FBgVKBXcFjwWjBbYFsQVwBOAEIAN4A0MDxgUGBrAIPwlDCa4J2go2CuYLoAvuC5MKtgm8CP4Imgh6CHcIeAh5CIsIxAkkCYkJwgm5CYYJWQlMCU4JPwkVCOcIywi9CJ0IXAgHB7wHjgdyB1kHOQcXBvQGzwasBpMGjgacBq8GvAbCBsUGyAbJBsYGwwa+BrkGrwahBpIGhAZyBloGPgYhBgIF4QW9BZkFewViBUgFIwTsBJsENAPDA2MDKwMeAyYDJgMNAtwCmgJKAegBdwD+AIoAI//M/4X/Sv8Z/u3+xP6g/oL+af5S/jn+If4K/fb95P3T/cL9rv2V/Xv9Y/1T/Uf9N/0i/Q/9Bf0G/Qv9DP0I/QT9Bf0L/Q/9EP0R/RX9H/0u/T/9Uf1m/X/9m/22/cz93v3y/hD+Nv5e/oD+n/6+/uP/Df84/2D/hf+m/8b/7AAeAF4AogDYAPUA/AD8AQQBIAFSAZUB4AIkAlQCawJvAmwCbAJxAnoChQKXAq4CygLlAwADHAM+A2MDhAObA6oDuAPNA+oECQQnBEIEXQR5BJQErgTGBOAE+wUWBS4FRAVZBW8FhgWhBb0F1wXrBfsGDQYlBkAGWAZqBncGgwaQBpkGoAamBq0Gtga/BsoG2QbpBvIG8AbmBtsG0gbGBrQGnQaLBoEGewZ0BmwGZQZfBlYGTgZIBkcGRAY7Bi0GIQYcBhoGFwYVBhoGJgYxBjMGMQY3BkYGVAZbBmMGeAaeBsYG3wbmBuQG5wb0BwcHGQcjByIHHgckBz0HXwd2B3kHcwd2B38HeAdbByoHWgecB8cHwgejB5YHtgfpCAYH/gfoB+UH+QgQCBoIHQgiCCkILAgtCDMIRAhXCGUIbgh8CJAIowiwCLoIygjgCPMJAgkTCS0JSgleCWYJawl3CYcJkwmZCaMJugnVCekJ9QoBChQKJwowCi8KLgoxCjMKMgowCjcKRwpaCm4Kiwq6CvsLRguRC9sMHAxEDEYMLgwdDDMMcQy5DOoM+QzxDOUM3QzZDNQMzAy+DKoMkQx2DFcMOAwaC/wL2wuwC3oLPgsHCtgKrAp+ClkKUgpzCrQK+wsxC0sLTgtACycLCArjCrcKhgpYCjYKIgoWCgoJ/gn3CfoKBQoUCiYKOwpTCnEKlgrJCwQLNgtSC1YLUgtWC2QLbQthCz0LBAq4CloJ8gmNCTcI9gjKCLQIsAi3CL8IwwjDCMIIwQi/CMII0gjxCRMJLglECV8JgQmaCaMJqgnWCjkKwQtHC7AMAQxIDIkMtQzBDLQMmQxzDEAMAQvDC48LYws3CwcK2wq8CqoKnQqRCocKgwqBCn4KdQpqCmAKWApQCkMKMQoeChMKFAocCiQKKAovCkEKWApoCnAKfwqmCtkK9ArfCqkKeQpkClUKKwngCZQJaAlaCUwJKAj0CMUIogiACFoINAgXCAQH8gffB88HxQe9B7EHpAebB5oHnAecB5sHmweWB4YHawdQBzsHKQcSBvMG1QbBBrMGngaABmAGSAY0Bh0GAAXhBcgFsQWYBXwFYwVPBToFHgT6BNUEtgSbBH4EYARDBCoEFAP7A+ADxAOlA4QDYQM/AyQDDwL8AugC0wK9AqUCiwJtAlACNAIaAf4B3gG7AZkBeAFVAS4BAADRAKQAewBTACn/+P/F/5D/Xf8q/vj+yf6e/nf+Sf4S/dL9lf1m/Uf9MP0W/PT8z/yq/In8afxJ/Cn8Cfvl+7j7f/s9+vz6wPqL+lj6J/n2+cb5lvll+TH4/fjK+Jj4Zvg2+Av34ve594n3Vvcl9vv21vaw9ob2V/Yo9fn1yfWV9WD1LvUE9OT0y/St9Ij0XPQx9A7z7vPI853zd/Ng81jzUvND8yzzEvL08sTyevIg8dTxq/Gm8bLxtPGb8WbxHPDM8IbwVvA68CvwIPAV8A3wCPAE8AHv//AE8BTwK/BG8GDwdvCD8IXwe/Bu8HDwkfDS8SLxbPGf8b3xzfHP8cDxpPGL8X/xe/Fv8U7xK/Eh8T7xefHB8hXyffLs8zzzUPM880Dzj/Qd9Kv1AvUf9Sf1N/VO9VX1QfUY9On0vPSR9Gz0UfRC9ED0SvRg9Hz0kvSX9I30gfSC9I/0ofS19M/09fUm9Vn1ifW19eX2F/ZA9lX2UvY/9ir2G/YS9gn2APX99f71+fXl9cj1vPXd9iz2jfbc9wv3J/dH93j3uPgD+Fr4u/kg+X35zvoW+lv6m/rT+wf7Pft7+8X8HPyA/O79X/3I/if+gv7e/zb/fv+s/8n/5wAVAFwAuQEfAXsBugHVAdYB0QHTAdoB4QHlAfACBgInAkoCbAKSAr4C8wMqA2EDlAPDA+8EGgRKBIMExAUMBVIFkQXFBfMGKAZrBr0HDQdNB4AHtAf6CFAIqgkDCVgJognMCcQJjwlKCRgJAgjxCMUIbAfkB0MGrQZNBjwGagarBtoG8gcGByAHMActBygHRQeKB9IH7AfRB6oHqAfPCAAIHAgnCDAIOwg+CD8IWwinCRUJdwmsCbkJvwnSCe8KCgojCkYKeQquCtMK4grlCuQK5ArfCtUKzwrVCu8LFQs4C0YLPws6C1wLswwnDIQMqQygDJEMmAyxDMUM0QznDRcNVg2LDakNwQ3rDi0Odg6wDtkO9w8RDx0PEw77DusO9Q8VDzwPVw9iD2MPZQ9uD30PkQ+qD8YP3g/nD9wPyg/FD94QDBA1EEIQNxAjEBIP9g+0DzsOfQ1vDAoKXwixB18GuAbJB2AILwj4CZkKDQpaCo8KuQrZCucK4QrNCrQKlApkCiQJ4AmrCX8JRQjwCJQIWghZCHoIhwhXB+0HcgcUBuUG2wbZBscGnwZxBk4GPgYzBhwF8wXBBZIFZwU6BQoE3QS9BKIEgQRVBCcEAgPpA9ADrwOJA2UDSAMuAxIC9gLcAsUCsgKhApMChQJ1Al4CPwIdAf0B3gG9AZsBeQFZATsBHgEAAOMAyQC0AKIAkgCDAHIAXwBMADsAKwAbAAf/8P/Y/8D/qP+Q/3n/Zf9T/0P/Mv8i/xP/Bf77/vT+7f7i/tL+v/6u/qD+lf6K/n3+b/5h/lD+PP4o/hf+Bv3w/dD9qf2C/WL9SP0w/Rn9BPzy/OD8y/y1/J/8jPx8/G78YvxX/Ez8Qfw3/C/8Kfwk/CH8HPwV/Ar7+vvo+9r71PvW+9n72vvX+9H7yvvC+7j7rPuf+5L7hft6+3D7aPth+1v7VvtV+1b7Wvtc+177YPtj+2n7cvt8+4b7i/uP+5P7mfuc+537nfue+6P7qfus+637rfuu+677rvux+7n7v/u8+677ofui+7P7xPvC+637kvuA+3n7dvtw+2r7afts+2z7Zvtb+1b7XPtt+4D7jPuR+5D7jvuN+4z7ivuK+477lvud+5/7nPuX+5T7k/uT+5X7mPud+6P7qfuw+7n7wfvF+8j7zvvd+/D8AfwM/BD8EvwS/BH8D/wR/Bn8J/w1/ED8SvxU/GD8avxx/Hb8e/yA/IX8i/yV/KP8sPy4/Lz8v/zG/NH83Pzl/O38+P0E/Q79E/0X/SD9Lf08/Ub9Tf1U/WH9b/16/YH9h/2O/Zb9nv2l/az9s/24/br9vP3C/cz91v3d/eD95P3u/fz+Cv4V/hz+Iv4q/jb+R/5b/nD+g/6T/qH+r/67/sf+0v7e/ur+9v8D/xL/IP8q/y7/MP80/zz/Rf9L/1H/W/9p/3j/g/+M/5j/qv/B/9f/6//6AAcAEgAgADYAUwBxAIwApAC+AN4A/wEbATIBTAFuAZgBwQHkAgQCKwJjAqkC6gMRAxMDBgMTA1gDyAQzBGQEUwQdA/ID6QP7BBYEMQRIBGAEgASuBOsFLQVjBYMFlAWgBaAFewUZBHwDygNMA1AECwVwByEIkglgCZ0Jvwo5Cw8L0QwAC3sKkgm6CS8I6AjACJ8IiAiBCJAIugj+CUkJdQltCTwJCgjzCO4I4gjBCJ4Iigh/CGYILwfnB6oHggdoB0sHKQcHBucGyQavBp8GnganBq8GsgaxBrEGsAarBqIGnAaaBpgGkQaGBnkGbgZgBkoGLwYTBfgF3AW+BZ4FfgVdBTcFBAS/BGcD/wOZA04DMAM3A0QDNgL/AqwCUAH0AZQBKwC+AFX/+/+y/3T/Pf8J/tf+qf6D/mX+Sv4w/hf+Av3y/eX92f3M/cD9s/2h/Yb9a/1V/Uf9O/0r/Rn9DP0J/Qz9Dv0N/Q39Ef0X/Rv9Gf0T/RH9GP0o/T79V/1y/Y79q/3E/db94f3u/gT+Jv5Q/nr+nP66/tn+/P8k/1H/ff+k/8f/6QAVAFIAmQDbAQUBEAEGAPkA/gEhAWABsAH/AkACaAJ7AoECggKFAo0CmwKwAs0C7QMMAygDQQNdA3wDnAO4A88D5AP6BBEEKQRABFcEcgSQBK8EywTlBPwFFAUuBUoFZQV9BZIFqAXDBeMGAAYUBiIGMgZLBmgGgAaOBpcGoQasBrUGuQa8BsIGygbSBtwG6Qb4Bv8G/AbxBukG5AbeBtEGvQaqBpwGkgaHBnsGcAZoBmEGWQZSBk0GSQZABjQGLAYrBi0GLQYsBjAGOQZBBkAGPQZBBkwGWAZdBmMGeAaYBrIGsQadBpYGuAb/B0YHYgc/BvAGqQabBtQHNAeHB6YHlAdtB0kHLQcfBy0HbAesB8sHwAefB44HnAe4B8gHxgfFB9UH8QgFCAkICAgLCBMIGAgYCB4ILQg/CE0IVghhCHMIiAiaCKkIuwjRCOYI+gkRCSwJRAlTCVkJYwl2CYwJmQmgCasJwwneCfIJ+woCCg4KGwogCh4KHAofCiQKIwodChwKJwo8ClUKbwqOCrUK6gsvC4ML2QwXDC8MJwwdDC4MWgyPDLUMxgzHDMIMvAy3DLMMrgyiDIoMZww+DBkL/gvsC+EL0gu3C40LXQsxCwoK4gq2CpAKhAqgCtwLHgtOC18LVAszCwgK1wqmCnkKUgo2CiQKGgoSCgsKBwoKChQKHwouCkMKYQqGCrAK4gseC18LkQukC5YLfAtpC2MLXQtLCygK8wqtClYJ9gmcCVIJHAj5COkI6QjzCP8JBAkCCP0I+Aj3CP0JEgkwCU4JZAl3CZAJrgnDCcoJ1goKCnAK8AtiC7YL+QxCDI8MygzlDOMMzwyvDIEMRwwNC94LtQuIC1QLJQsGCvUK6QrcCs8KyQrKCssKxwrBCr0KuQqwCp4KhgpzCmwKcwp/CoUKhgqOCqQKwQrVCtoK3wr2CxcLJgsNCtgKqgqUCoQKWgoNCbwJiAlzCWUJRwkYCOcIvQiYCHUIVQg9CCsIGwgJB/sH8wftB+UH2gfRB88H0AfRB9MH0wfNB7sHnweFB3IHYQdKBy0HEAb7BukG0QazBpMGewZmBk0GLgYOBfMF3AXFBasFkgV9BWUFRgUiBP4E4QTIBK0EjQRtBFIEPAQmBAwD7gPNA6sDiQNpA00DNwMlAxMDAALqAtECtAKVAnoCYgJLAjMCFwH4AdkBtwGRAWcBOAELAOEAuwCUAGcAM//7/8b/lf9o/zz/Dv7f/q3+ev5D/gz92/2z/ZP9dP1S/Sr9Afza/Lb8lfx2/Fj8OPwT++T7q/ts+yz68Pq5+of6V/oo+fj5yPmY+Wf5NvkE+NL4oPhx+Eb4H/f198f3lvdn9z33GPbx9sT2kfZe9i32APXQ9Zv1ZPUy9Qn05/TF9Jz0b/RE9CDz//Pc87bzlvOA83LzZPNP8zjzIfMG8uDypvJh8hzx5vHE8bLxqPGc8YHxUPEQ8M3wlfBq8ErwLvAX8AfwAO/+7//wAvAI8BLwH/Av8EPwWfBv8Hvwe/Bz8HXwkfDM8RrxZPGb8bzxzvHV8c7xuvGh8Y7xf/Fr8UjxJvEb8TXxb/G78hXyfvLp8zXzTPNA80jzjvQK9Ij02PT39QP1FvUr9S/1F/Tq9LX0gvRU9DD0HPQZ9CL0MvRE9FT0XfRa9FD0SfRM9Fr0bfSE9KX00vUH9Tn1YPV99ZX1q/W49bT1n/WB9WT1TvU/9TT1L/Ux9Tn1PPUx9Rz1FfUz9Xz12/Yx9nL2pfbY9xD3SPeB98H4E/h3+OX5VPm/+iX6gvrQ+xP7T/uN+9H8H/x6/N/9Sf2v/gv+YP6t/vD/Kf9a/47/xwAEAD0AcgCoAOQBHwFNAWcBcQFzAXQBdwF/AZIBswHdAgoCOAJoAp4C2AMRA0QDcwOhA84D+gQoBFwEmQTdBSAFWgWIBbEF5AYoBnoGyAcJB0AHeQe9CAgIVQimCP4JUgmGCYMJUAkOCNsItwiDCCQHmAb5BmkGBwXkBf8GPgZ6Bp0GrQa9BtYG7QbzBvIHAQcnB1AHZAdjB2QHfAegB7kHwQfFB9IH3wffB90H+QhJCLkJGglOCV4JaQmBCZ8JugnWCgAKOQpvCpEKnQqdCp4KogqlCqUKoAqbCqAKuArfCwMLFAsWCyYLYQvADB0MUwxiDGcMeQyUDKQMoQygDLYM5A0VDT0NZQ2gDfQOUw6qDvEPKQ9QD1wPSQ8jDwAO8w7+DxYPMA9CD04PVA9ZD2EPcA+GD58Psg+2D6sPoA+mD8IP5w/9D/kP6A/YD8YPkg8gDmkNdgxOCu8JaQf4BvMGmgbqB6EIbgkeCaYKDApYCowKrgrACsUKuwqmCokKZwo7CgMJxwmOCVoJHQjPCHwIOwgfCB4IGQf1B6wHUQcBBs8GugayBqEGfwZWBjgGLAYlBhAF5wWyBX4FUQUmBPwE1gS7BKQEhARWBCMD9wPYA74DnwN7A1cDOAMdAwIC5wLNArYCoQKPAn8CcgJkAk8CMgIQAe0BzAGuAZABcgFSATEBEADzANsAxgCxAJ0AiwB6AGsAWgBKADoALAAbAAX/7P/R/7X/m/+A/2X/TP84/yj/G/8O/wD+8/7o/uH+2/7S/sT+sv6f/o3+fP5s/l7+Uf5E/jT+If4O/f/98f3f/cT9oP17/Vr9P/0o/RL9APzx/OD8zPy0/J38ivx8/HH8Z/xb/FD8RPw6/DL8Kvwk/CD8HPwX/A37/vvt++D73Pvd++D74Pvb+9L7yPu8+7D7pPuZ+5D7iPuA+3n7cvtr+2P7Xfta+1v7X/th+2D7X/th+2r7efuI+5L7lvuZ+6H7qvuw+677p/uk+6j7rvux+6/7rfuw+7X7ufu8+737u/u1+6v7pPum+677s/ur+5j7hft9+337fPt1+2r7Yvth+1/7V/tH+zn7N/tG+177dfuC+4X7g/t/+3z7evt7+4H7jPuX+5z7mvuU+5D7kPuS+5T7lvuY+5v7ofuo+7H7ufu9+777wvvO++D78/wB/Aj8CvwI/Ab8BfwH/BD8Hfws/Dr8SfxX/GP8a/xv/HP8efx//IX8ifyP/Jn8pfyv/LT8uvzE/NH83Pzk/O38+v0J/RP9Fv0X/R79Lf0+/Un9T/1U/V79bP15/YH9h/2O/Zb9nf2l/a79t/27/bz9u/3A/cr91/3f/eP96f30/gP+Ev4c/iT+Kv40/kH+UP5g/nD+gP6P/p3+qf6y/rz+x/7V/uP+7v75/wb/FP8e/yH/If8i/yj/Mv8+/0n/Vf9i/27/eP+B/43/nf+x/8X/2f/q//oACAAYAC8ATQBsAIgAowDAAOEBAQEaAS8BSQFvAZ0BxwHoAgECIQJTApQC0wL3AvgC6ALvAykDjAPtBB0EEAPkA8ADuwPTA/gEIARKBHUEpQTbBRIFQwVmBXoFhgWKBXYFMwS6BB4DkANMA40EcwXkB3wIuglVCYEJxAqEC5gMawx8C8kKzAn/CYsJRQj/CLgIiAh5CIIImAi8COwJEwkTCOsItQiTCIkIhAh2CGMIVQhICC4H/gfFB5QHcgdVBzYHFgb7BuYG0Qa+BrIGrgavBq8GqgamBqMGmwaLBnoGcQZzBncGdAZqBl8GVQZHBjEGFAX6BeUF0QW3BZIFZwU2BP4EvQRwBBkDwAN0A0cDPwNLA0kDHALBAlEB5QGIATEA1gB3ABz/z/+P/1b/Hf7i/qr+ef5S/jT+Gv4B/er92f3P/cf9vv2y/an9oP2S/Xv9YP1L/UH9O/0w/R/9Dv0G/Qj9Df0S/Rf9Hv0l/Sf9Iv0Z/RP9Fv0k/Tv9Vv1z/ZD9rP3G/dn95/31/gn+Kf5S/nz+n/68/tb+9f8c/0z/fv+s/9P/9AAXAEcAhQDGAPwBGgEiAR0BGgEjATwBZgGdAdoCFAJBAl0CbwJ/ApMCrALKAusDEAM2A1gDcwOJA50DtQPSA/IEEAQsBEIEVgRqBIEEngS/BOAE/QUWBSsFQAVYBXMFkAWoBboFzQXlBgQGIAY0BkEGUQZqBoYGngasBrUGwQbNBtUG2AbaBt4G5AbpBu8G+wcKBxUHEwcJBv8G+wb4Bu0G2gbFBrUGpwaaBowGgQZ6BnMGagZgBlgGUgZKBkIGPwZBBkYGSQZIBkkGTQZPBk0GSwZQBl0GaAZrBm4GewaSBp4GjgZwBmoGnAb4B0wHYAcjBrgGYQZUBpoHDQdxB5sHiQdVByMHBgcIBzYHbwecB6gHlQd7B3EHfgeSB6AHpwe2B9AH6gf2B/YH9gf9CAgICwgKCA0IHAgwCD4IRQhOCF0IcgiFCJcIqQi+CNYI8AkLCSQJNwlCCUwJXAl1CY8JoAmqCbYJzQnmCfkKAgoIChEKGAoYChEKDAoNChAKDQoFCgAKCAodCjgKUgppCoEKpgriCzULkgveDAgMEwwVDCQMRQxsDI0MoAynDKQMmQyMDIAMdQxlDEkMIQv0C80LswumC6ULpgufC4kLZgs7Cw4K4wq8CqQKqArNCwYLOwtaC1cLOgsMCtkKpwp6ClUKOgooCh0KFAoMCgoKEAogCjEKPwpNCmMKhwq3CuwLJAtgC5sLxgvRC78LoAuGC3QLYQtECxoK4wqeCk0J9wmpCWwJQwkqCR8JIgkuCToJPwk8CTUJMAkwCTwJVAlxCYoJmwmqCb8J2AnoCe4KAQpBCrILNQuhC+cMHQxaDKEM3gz9DQIM9gzdDLYMgwxODCIL+gvMC5gLagtMCz4LMwsmCxkLFAsZCx8LIQsfCx4LGwsQCvkK3grKCscK0QrfCuYK6gr3CxELLgs8CzYLKgstCz0LRAswCwkK6QrbCs8KpApTCfYJsQmOCXwJYgk5CQsI4Ai4CJMIcghYCEcIOQguCCYIIQgbCBEIBgf/CAAIBQgJCAoIBwf+B+wH1Ae8B6kHmAeDB2gHTQc1ByEHCAbrBswGsAaWBnkGWQY4Bh0GBgXvBdYFvQWlBYsFbAVJBSoFEAT3BNkEtgSUBHgEYgRNBDMEEwPxA9ADsQOUA3sDZANRA0ADLgMYAv0C3gLBAqgClAKAAmkCTwIzAhQB8QHKAZ8BcgFIASAA+ADPAKAAawAz//3/zv+l/3z/Tv8X/tv+oP5r/j/+G/36/dj9sv2J/V79NP0M/Ob8xPyk/IX8Yvw4/Af7z/uV+1n7Hvrm+rL6gvpU+iT59fnG+Zr5bfk9+Qv42fir+H/4VPgm9/T3wveU92z3Sfcl9vv2yfaT9mD2MvYG9db1oPVq9Tv1EvTr9MP0mfRx9E70LfQJ8+bzyfOz86HzjPNx81TzOfMe8v/y2fKp8m/yK/Hk8anxhPF18W7xXvE+8RHw3/Cq8HPwPvAU7/rv7+/u7/Hv9u//8AnwFPAf8CzwPfBP8GDwafBs8HDwhPCz8PvxTPGS8cHx2fHf8dfxxPGq8ZLxe/Ff8TzxGvEN8SHxVfGg8f7yavLU8x7zN/My8zvzdvPb9EH0gPSZ9KP0s/TG9Mn0tPSO9GL0OPQU8/nz7PPt8/Xz/fQC9AHz/PP08/Hz+fQM9CT0O/RR9G70l/TF9Oz1A/UJ9Qf1AfT59On00/S39J30h/R49HD0cPR59Ir0m/Sk9KP0pfS99PT1QvWb9fL2Q/aM9sr2+/ck91L3k/fr+FX4yvlE+cD6Nfqc+vT7QPuH+8z8E/xi/Lz9IP2I/ej+OP50/qL+zf8E/0//pf/vABkAKQA0AFQAjgDRAQQBHgEiAR8BIQEwAU4BdgGlAdYCCQJAAnoCswLpAxoDSQN5A6kD1QQABC4EZQSiBOAFFgVCBWwFngXgBi4GfAbEBwYHRweIB8cIBAhKCJwI7QkfCSAI+AjECJUIWwf4B2AGrwYSBa8FjwWkBdoGFwZHBmEGbAZ4Bo0GowayBrwGzwbuBw8HJwc1B0YHXAdtB3EHbQd0B4YHkweMB4MHnAfrCFgItgjrCQQJGQk1CVIJagmICbcJ9AorCksKVQpWClkKYAprCnQKdgpvCmYKagqHCrIK1QrjCu8LFAtbC60L7AwQDCwMUgx8DJMMkQyDDIIMlgy1DNcNAQ1DDZ0OBA5qDscPFw9SD28PbQ9UDzUPHA8MDwUPCA8RDx0PJw8uDzUPQQ9UD2YPcQ90D3EPdQ+FD6APtg+8D7MPpg+YD3YPGw5xDYIMaAs1CesImAduBrcGogcgB+cIqQlCCbEKCQpPCoEKngqpCqUKlAp5ClgKMwoKCdoJowlpCS8I8giuCGQIHgfnB8EHpweQB3AHQgcKBtIGqAaOBnsGYwZFBioGGgYPBfoF0wWgBW0FQAUXBPEE0gS7BKgEiwReBCcD9QPPA7IDlANzA1ADMAMTAvgC3ALCAqgCjwJ5AmYCWAJLAjwCJQIGAeIBvQGdAYMBawFOASsBBwDnAM8AuwCoAJQAgABvAF8AUABAADEAIwAT//7/5P/H/6v/j/9y/1P/N/8h/xH/Bf75/uv+3v7U/s/+zP7G/rn+pv6O/nf+YP5M/jz+MP4n/hv+C/34/ef92P3G/a/9kv1z/Vb9PP0k/Q78/fzu/OD8zvy3/KH8j/yD/Hn8bvxh/FT8SPw9/DX8Lvwn/CL8HvwY/A/8BPv3++776vvp++f74/vd+9T7yfu7+6z7oPuX+5P7kPuN+4j7gft5+3H7a/tr+3L7fPuC+4D7eft1+337jvud+6P7oPud+6T7sfu6+7f7rvuo+6r7r/uw+6v7qfut+7b7vfu9+7j7s/uw+677q/uo+6b7ofuY+437h/uI+477jfuC+3D7Yftc+137XPtS+0L7Nvs3+0b7W/tr+3H7cftv+2/7cftz+3j7f/uI+477j/uO+477k/uY+5v7nPuc+537ofum+637s/u2+7f7uvvC+9L75vv3/AH8BPwC+/77/fwB/Ar8F/wl/DP8Q/xS/F78ZPxn/Gr8cfx5/H/8gvyF/I78mfyl/K/8uvzH/NT83/zm/O78/f0N/Rn9G/0a/R/9Lf0//Uz9U/1a/Wb9df2C/Yv9kf2W/Zz9ov2p/bP9vf3D/cP9wf3E/cz91/3g/ef97/3+/g/+H/4p/jD+Of5G/lP+Xv5n/nD+ff6O/p7+qv6x/rb+v/7M/tz+6v73/wP/EP8Z/xv/Gf8W/xr/JP8x/z//S/9V/1//af91/4P/k/+j/7T/x//a/+z//AAQACkARwBlAIEAnAC7AN4A/gEYAS0BSQFwAZ4BxwHlAfkCDgIuAlwCjQKvArkCtAK5At4DHwNiA4kDjAOAA38DlwPDA/cELARgBJUEyQT6BSQFQwVVBWEFaQViBTgE3ARWA84DdAN0A/IE9AZWB7wIuwktCV4J2QrkDDANDg0EDDALJQpiCfUJogk4CMoIgwhuCHMIeAiBCJgItQi6CJkIZAg+CDUIPghDCD4IMQgbB/kHywecB3UHVgc4BxsHAwb1BukG2wbKBr0GuQa3BrAGpgaeBpcGigZ1BmAGVgZaBl8GXQZSBkgGPgYuBhMF8gXYBcgFuAWbBW0FMwT1BLIEawQgA9UDlANoA1YDWQNYAzcC5AJqAekBegEjANYAhwA0/+X/n/9h/yP+5f6o/m/+QP4c/gH96/3X/cT9tv2u/af9n/2X/Y79hv13/WL9S/07/Tb9Nv0w/SH9D/0F/QX9Df0X/SH9Kv0v/S/9Kf0h/Rz9Hv0p/Tv9Uv1s/Yf9ov29/df97f4B/hf+M/5W/nv+nf66/tf++P8g/07/fv+t/9f/+gAbAEAAbQCiANsBEAE9AWABdAF4AXABbAF6AaAB1AIEAicCQAJbAoACqgLSAvYDHQNJA3gDoAO5A8gD1wPwBBQEPAReBHgEjQSkBMEE4QUBBSAFPAVVBWsFfwWTBaoFwwXYBecF9QYJBiMGPAZOBloGaAZ/BpkGsAbCBtAG4QbvBvYG+Ab6BwAHCAcMBxEHGwcrBzYHNAckBxMHCAcABvQG4QbOBsAGtgasBqIGmgaVBo4GgwZ2BmwGZQZgBloGVgZYBlwGXwZdBloGWQZYBlYGVgZdBmsGdgZ3BncGggaYBqkGpQaVBpcGvgb+ByoHHgbcBooGVwZfBpwG8Ac5B10HWAc3BxIG/wcLBzUHYAd5B3UHXgdMB08HZAd9B5EHowe4B88H3wfjB+EH5QfyB/0IAAf9CAEIEQgmCDUIPAhCCFAIZAh4CIgImgiwCMwI6AkDCRkJKgk4CUcJXAl2CY8JowmyCcIJ1gnqCfkKAgoKChIKFwoVCg4KBQoBCf0J+AnyCfAJ9woKCiQKQApZCnIKkQrCCwgLWgumC9sL+QwLDB8MPAxaDHYMiAyPDIcMcwxaDEMMMAwbC/8L3Au6C54LiQt9C30LhguPC4kLaQswCuwKrgqICoMKoArUCw0LNAs/CywLBQrXCqwKhgpmCkwKNwooCh0KFQoPChMKIwo7ClIKYQpsCoEKqQrgCxoLUAuDC68LzQvUC8gLswugC40LcwtMCxgK3AqXCkoJ/Am6CYoJbQldCVcJWgllCW8JcwlwCWsJaAltCXsJkwmtCcEJzQnaCe4KBQoTChsKNQp+CvkLgwvwDDEMWQyEDLkM6A0EDQwNBwz3DNkMrwyBDFgMMQwFC9YLrguWC4oLgQt2C20LbQt1C3sLfQt6C3cLcwtnC1ILOQsnCyQLLAs4C0ILTAtcC3ULiguLC3gLXwtWC18LaQtfC0MLJwsWCwMK1QqDCiIJ1AmnCZEJfAlbCTAJBAjZCLAIjQhyCGIIWAhUCFIITghHCDsIMAgsCDIIOgg+CDwINggsCB0ICgf1B+IH0Ae8B6QHiQdwB1gHPwcjBwQG5AbEBqIGgQZjBkkGMAYXBf4F5AXLBbAFkgV0BVoFQgUnBQYE4QS+BKEEiQRxBFYENQQVA/YD2wPDA6sDlAN/A2wDWANAAyQDBwLtAtkCxwKzApsCgQJmAkgCJgIAAdgBrwGGAVsBMAEEANUAogBsADYABv/c/7P/gf9E/wL+xP6U/nD+Uv4z/g794/23/Yz9ZP0//Rr8+PzW/LL8iPxX/CL77fu5+4P7S/sT+t/6rvp/+lD6Ifn2+c75pfl2+UX5Ffjo+Lz4jfhZ+CL37fe995T3cfdQ9y33AvbP9pv2afY79gr11fWf9W31Q/Ud9Pf00PSr9Ij0ZPQ+9Brz/PPn89TzvvOh83/zXPM78x3zBPLq8sTyhvIz8dvxlfFr8VnxUPFD8S3xC/DZ8JnwV/Af7/zv6+/k7+Pv5+/v7/zwCvAY8CTwMPA+8E7wXfBm8GrwcvCO8MnxG/Fv8a7xzfHR8cbxtPGg8YrxcPFO8SXw//Ds8PfxI/Fs8cvyOvKk8vHzEfMU8x7zS/OV89z0BfQR9Bb0JPQ39D/0NfQc8/3z3/PF87DzpPOe85vzlvOO84PzefN183zzk/O289rz9fQH9Br0M/RO9GL0ZvRb9En0OfQu9CT0GfQL8/vz7PPj8+Hz5vP09Aj0IfQ59Er0V/Ro9Iv0xvUZ9X315PZB9oj2uvbg9wr3QveM9+T4Svi9+Tr5uPou+pf69vtO+5776fwz/Ij86v1U/bb+A/43/lz+g/7B/xb/dP+9/93/3P/Y//AALAB5ALoA2wDiAN4A4gD4AR0BSwF8AawB3wIVAkwCgQKzAuQDFwNLA3wDpwPOA/gEKQRgBJoE0AUABS8FYAWaBd0GKAZ3BsUHEAdRB4gHvwf/CEoIjgi0CLAIkAhoCDgH4wdTBpIF1QVVBSoFQgV4BbAF4AYFBh4GLwY9BkoGWQZpBnsGlga4BtoG9AcIBxoHKQcwBy4HLgc7B00HUQc/BzAHSAeUB/oIUwiMCKwIyQjlCP0JEgkzCWcJqAneCf0KCQoQChgKIwowCj8KSwpLCkAKNwpDCmUKjQqoCroK1gsJC0gLgAuqC9UMCgxFDHEMgwx/DHcMdQx6DIcMpAzZDSYNgg3lDkkOqA74Dy8PTA9XD1YPSQ8yDxYPAA72DvcO+w7+DwMPDA8YDyAPJA8pDzUPSQ9gD3EPdw91D3APag9VDxIOhg2tDJ0LdgpJCRoH+AcSBqIGxQdeCCUI2AlbCbgKAQo/CmwKhQqLCoEKbApNCigJ/wnUCaMJbgk2CP4IxwiOCFAIDAfIB4sHYwdUB1UHTAcnBuYGogZxBloGTgY9BiUGDAX2Bd8FvAWQBWAFMwUKBOUExgSwBJ0EhARcBCkD9wPOA64DkQNxA04DLAMNAvAC0gK0ApgCfgJmAlACPAIuAiMCFQH/Ad4BtwGSAXUBXgFEASMA/QDbAMIArwCcAIcAcQBeAE4APwAvACAAEQAA/+v/0v+4/53/gf9j/0T/KP8S/wL+9v7p/tr+zP7D/r/+vf64/qz+mP5//mb+TP41/iH+E/4L/gP99v3l/dH9vv2r/Zb9gP1o/U/9N/0g/Qr8+Pzq/N38zvy8/Kr8m/yP/IX8ePxq/Fr8TfxC/Dn8Mvwt/Cj8I/wd/BX8DPwD+/37+fv0++775/vg+9n7z/vB+7L7pfue+537nfuc+5j7kvuJ+4D7fPuB+5H7pfu0+7T7qfuf+6H7rvu7+7v7r/ul+6b7svu8+7v7svur+6v7rvut+6n7qPuv+7n7vfu3+6/7q/uv+7X7tvuw+6f7n/uZ+5X7lfuY+5v7l/uI+3L7XPtR+1b7Y/ts+2j7WvtN+0z7VPte+2L7Y/tm+277dvt6+3j7dPtz+3b7evuA+4f7j/uV+5n7mvuc+5/7pfuq+677sfuy+7L7s/u6+8f72fvr+/f7/fv8+/n7+fv+/Aj8Ffwh/C38OPxF/FD8VvxZ/Fz8Yvxq/HH8dPx3/H78ivyY/Kb8tPzD/NH82vzh/Or8+f0L/Rj9Hv0f/SX9Mf1A/U39V/1j/XL9gv2N/ZT9l/2b/Z/9pP2q/bP9vf3F/cj9yf3L/dL92v3j/ev9+P4I/hr+Kf4y/jv+Rv5V/mP+bP5x/nb+gf6T/qb+tP65/rr+vv7J/tj+6P71/wH/DP8W/xr/Gf8W/xT/Gf8k/zD/O/9D/0z/V/9m/3j/if+a/6v/v//T/+X/9gAJACMAQQBfAHkAlAC0ANgA+wEXATABTgFzAZ4BxAHhAfYCBwIcAjkCXgKCApwCqQK0AskC6wMSAy8DQgNVA3YDpgPdBBQESQR8BK4E3AUCBR4FMAU7BUIFQgUrBOoEewP4A5IDdAO7BG0FfQbAB+YIpgj4CTYJ3AsQDGoNNw0RDDMLNgqOCjUJ3glfCNcIfghjCGYIZghhCGUIcwhxCFEIIggBB/8IEAgeCBsIBwflB7wHkQdsB08HNgccBwUG9wbxBuoG3AbMBsIGwQa/BrUGowaUBogGegZnBlMGSgZLBk0GRgY7BjIGKAYTBe8FxgWoBZoFiwVqBTQE8gSvBG0EKQPlA6sDgwNzA3MDcgNYAxMCogIZAZYBLQDbAJIAR//6/7D/bP8p/ub+pf5r/jn+Ev3y/dv9y/29/bD9o/2Z/ZP9jv2K/YP9ef1o/VL9Pv0x/S79L/0q/R39Dv0F/QX9Df0Y/ST9Lf0y/TH9LP0o/Sf9Kv0y/T79T/1k/Xz9lv2x/c796/4F/h3+N/5U/nX+l/65/tz/AP8o/0//d/+g/8r/9AAaADwAXACAAK8A7QE4AYcByAHpAekB2QHSAeAB+gIQAhsCJQJAAm8CpwLVAvcDGANHA4MDvQPkA/YEAQQVBDkEYwSKBKkExQTkBQgFKwVIBWAFeQWTBa4FxAXWBegF+wYMBhkGJAYzBkkGXwZwBnwGiAaaBq8GxAbWBukG/AcJBw0HDAcQBxsHKAcxBzUHPQdKB1IHSwc4ByAHDgcABvIG4QbTBssGxgbABrgGsgatBqYGmQaKBn8GegZ3BnMGbgZtBnAGcAZsBmcGZAZjBmIGYgZmBm4GcwZyBnMGgwalBskG4AboBvEHAgcPBwIG1AabBngGeQaVBrgG2Ab1Bw8HHwceBxAHBgcRBx0HPwdRB0oHOAcxBz8HWwd5B5AHpAe2B8UHzAfMB80H1gflB+8H8QfwB/cICQgcCCoIMQg6CEoIYAh0CIMIlAirCMgI5Qj9CRAJIwk2CUwJYgl4CY0Jowm5Cc0J3wnsCfQJ/AoGCg8KFQoVChAKBwn9CfMJ6wnpCe8J+woMCiIKQApjCocKqgrQCv8LOgt6C7IL3gwADBwMNgxNDGAMbgxyDGgMUgw0DBgL/gvmC84LuAunC5oLigt5C28Lcgt8C3gLUwsJCq4KYgpACk4KgQq/CvILCwsHCu8KzgquCpQKgApsClcKQgoyCicKIQohCikKPApWCm0KfAqHCp0KxQr8CzQLZAuKC6cLuQu/C7kLsAulC5YLewtRCxsK3wqbClEKCQnOCagJlAmMCYwJkQmaCaEJowmhCZ4JoAmpCbgJzAngCe4J+AoFChwKNQpIClUKdAq+CzYLvAwnDGYMiAykDMYM5gz6DQINAgz6DOcMyAylDIIMYAw8DBcL+QvmC9oL0AvJC8gLzgvVC9YL0QvJC8QLvwu2C6gLlwuJC4MLhQuNC5kLpwu2C8QLyQu+C6ULjQuGC5ILoAubC30LVAsuCwoK1wqLCjMJ6Am7CaUJkwl4CVAJIgj1CM0IrAiVCIcIgQh+CH0IeQhzCGoIZAhkCGoIcQhxCGsIYQhYCE8IQwgxCBwIBwfzB9wHwwenB4wHcQdVBzYHFAbwBs4GrwaTBnkGXgZDBigGDQXyBdUFuQWgBYkFcQVVBTMFDgTsBM4EsgSWBHkEWgQ8BCEECAPxA9oDwgOrA5QDfgNkA0kDMAMcAwsC+gLkAsoCsAKXAnsCXAI4AhIB6wHCAZUBZQE2AQgA2QCmAHEAPwAP/97/p/9o/yr+8/7K/qn+i/5n/j3+Dv3g/bb9kP1u/U79Lf0K/OD8rvx2/D78DPve+6/7e/tF+xD64Pqx+oL6Vfos+gX53fmv+X35T/km+Pz4zfiX+GD4K/f69833pfeC92H3O/cN9tn2pPZx9j32BvXP9Z/1dvVQ9Sn0//TX9LL0jfRn9EH0I/QN8/vz5fPK86jzgvNc8zvzJPMW8wXy4PKe8kbx7fGk8XDxUPE88S7xHPD78MrwjvBV8CnwC+/67/Lv8+/58APwD/Ab8CjwNPBB8E7wXvBp8GrwZvBu8JPw2PEp8Wrxi/GO8YLxdPFo8VrxQ/Ef8PHwxfCs8LHw2fEg8X7x6vJT8qTy0fLk8vbzG/NR84Hzm/Oi86fztfPK89fz0/O9857zffNe80TzMPMf8xHzBPL78vby9PL48wXzH/NF82vziPOZ86Tzr/O587vzs/Oj85Lzh/OE84TzhfOC833zePN4837zi/Oc87DzyPPk8/70E/Qj9Dn0YPSj9QD1a/XQ9iP2YvaX9sz3CfdL95L34fg/+Kz5IPmU+gL6bfrU+zb7kPvo/ET8qv0T/XL9vf3z/iH+Vf6a/ur/N/9u/4j/j/+Z/7v/+ABAAH0AnwCpAKoAswDMAPUBJgFYAYkBuQHrAh0CTgJ/ArQC6wMiA1IDegOfA8YD8gQkBFoEkwTKBP0FKwVYBY4F0gYlBn0GzgcSB0sHhQfJCBAISAhdCE4ILQgDB8QHUQaeBcwFHgTJBNAFDAVKBXUFlAWxBdIF7gYABgwGFgYlBjsGWQZ6BpgGsAbBBtEG3wboBu8G+QcIBxIHDAb3BuwHBwdOB6kH+AgtCFIIcgiNCKEItgjbCRYJWAmNCasJvAnLCdwJ6gn3CgoKIQoyCjIKKAokCjMKUQpuCocKpArLCvgLIAtCC2gLngviDCQMVwx0DH4MeAxpDF4MYgx/DLEM9A1FDaEOBA5iDq8O7A8cD0EPUg9LDzIPFQ8ADvIO6A7fDtsO3A7dDtoO1w7hDvwPHA8zDzYPLQ8lDyQPHA7wDoMNzQzcC8wKswmWCH4HgwbWBqMG8AeXCFQI8wllCbUJ9AooCk0KYAphClYKQAoiCf0J0AmdCWYJMAj8CMoImAhnCDQH+we6B3oHTAc/B08HXAdEBv4GpgZhBkIGPAY1Bh4F/QXeBcIFpAV9BVAFIwT5BNIEsgSZBIQEbARKBB8D8wPNA60DjgNtA0kDKAMJAukCyAKmAogCcAJaAkICKQITAgYB/wHzAdoBtAGKAWYBSwEwARAA7gDQALoAqACVAH0AYwBMADkAKgAaAAr/+f/l/8//uP+h/4n/cf9W/zr/If8M/vz+7/7h/tL+xP66/rT+r/6m/pj+hf5w/ln+Qf4m/g39+f3t/eb93f3O/br9pf2T/YH9b/1a/UP9K/0V/QH88Pzi/Nf8y/y//LL8pfya/I/8g/x1/Gf8WfxN/EP8O/w2/DL8Lvwo/CH8GPwR/Av8Bvv/+/f77/vn++D71vvJ+7v7sPuq+6f7p/um+6P7nvuW+477iPuN+5/7ufvN+9P7yfu8+7j7wPvI+8f7uvus+6n7sfu4+7f7r/uo+6f7qPun+6b7qfux+7j7t/ut+6X7p/uz+7/7wfu6+6/7qPul+6X7ovud+5j7kfuE+277VPtC+0L7Vvtv+3z7eftr+2D7Xfte+177Xvtk+3P7gfuF+3v7a/tg+2D7aPty+3v7gfuF+4f7ivuP+5n7o/us+7H7svux+6/7sfu2+7/7zPva++f78Pv1+/b7+fv+/Aj8Ffwf/Cj8MPw4/ED8R/xK/Ez8UfxX/F78Yvxm/Gz8dvyD/JL8ofyw/L38yfzT/N/87/0B/RP9H/0o/TD9Of1D/U39Wf1o/Xn9iP2R/ZT9lv2Y/Zv9n/2j/an9sv28/cP9yP3N/dP93P3m/fL+Af4S/iH+Lf42/kD+Tv5e/m3+eP5//oX+kP6h/rT+wv7I/sj+yP7N/tj+5P7v/vn/Av8N/xb/G/8a/xb/Ff8a/yP/Lf81/z7/Sf9a/23/gP+S/6f/vv/U/+b/9QAHACAAPwBdAHgAlAC0ANkA/QEcATkBWAF8AZ8BwAHeAfgCDwImAj8CXwKGAqsCxwLaAuwDAgMdAzcDUwN1A6ED1AQGBDUEYgSOBLkE3QT4BQkFFQUeBSIFFQToBJAEGAOnA28DkwQbBPcGCAcgCAQIiwjHCRAJxwr1DCkMxgyFC7AK3AplCjMJ8gl4COgIgQhZCFUIUwhMCEgIRwg6CBgH7wfXB9gH5gftB+IHxgefB3YHUwc7By4HIAcPBv0G8gbtBuUG1gbIBsUGygbKBrwGowaNBn8GcwZjBlEGRgY/BjcGKwYeBhYGCQXsBbwFigVpBVwFTQUpBPAErwRxBDYD+gO/A5IDfgOAA4UDdAM9AtwCXQHYAWIBAgCxAGMAFP/H/3//Ov71/q/+b/49/hb99v3b/cf9u/21/a79o/2X/Y/9jf2M/Yf9e/1n/VL9P/00/S/9Kv0j/Rj9Df0G/QT9CP0R/R79Kf0w/TD9Lf0s/S79M/04/T/9TP1e/XX9jP2n/cT94/4A/hr+M/5P/m/+kv63/tz/Av8n/0r/bP+Q/7r/5wATADgAVABtAI0AwgESAXMB0wIZAj0CSAJOAlkCYQJbAkgCPQJQAoMCwALtAwcDHgNJA4sD0QQGBCAELQQ+BF0EhgStBM4E7wUVBT4FYQV7BY4FpAXBBeIF/QYQBh4GLQY7BkgGUgZfBnIGiAacBqsGtwbFBtMG4AbvBwAHEQccBxsHFgcYByUHNwdEB0oHTgdUB1YHTwc+BysHGgcNBv0G7gbjBt4G2wbUBssGxAa/BrcGqQaZBo0GiQaJBoYGggaCBoMGggZ8BnUGcgZ0BnYGdQZyBnAGbgZrBnAGhwaxBt8HAgcTBxgHFgcEBtsGpgaCBoYGqAbIBs8GwwbABtUG9gcLBwgG/QcCBvEHEAcjByUHIQcnBzwHWAdyB4UHlAegB6kHrwe0B7wHyAfVB90H4QflB/AIAQgSCB0IJwg1CEsIYgh2CIYIlgitCMoI5Qj6CQwJHwk3CVEJaAl6CY0JpQm/CdYJ5QnsCfEJ+QoECg0KEQoSChAKCgn9Ce0J5AnnCfYKBwoWCikKSAp2CqkK1Ar0CxELMwtgC5ELvwvoDAgMIAwyDEAMSwxSDE4MPgwlDAoL8AvYC8ULtwutC54LhAthC0MLNAsyCykLAQq5CmYKKgodCkEKfQq2CtcK3grSCr8KrQqfCpYKjQqBCm8KWgpJCkAKPgpBCkkKWApsCoEKkgqhCrgK3QsOCz4LZQuBC5YLowuoC6ULnwuWC4gLcAtMCxwK4wqiClwKGQnlCcUJuAm4Cb0JxQnOCdMJ1AnSCdIJ2AnjCfEKAAoOChcKIAovCkgKZgqBCpYKtwr6C2AL1Qw4DHcMmgy0DM0M4wzxDPYM9QzxDOcM1wzBDKcMjQxzDFwMSAw3DCcMGwwXDB0MKAwtDCcMHAwSDAsMBwwCC/0L9wvwC+gL4wvnC/MMAwwMDAsMAAvuC9kLyQvGC9EL3AvSC6kLbQsvCvoKxgqGCj4J/QnSCbsJqgmPCWYJNwkLCOgIzgi9CLMIrgipCKUIoQifCJ0IngigCKQIpgihCJcIjQiHCIQIfAhsCFUIPAgmCBEH+AfbB70HnweCB2MHQQcdBv0G4QbHBqwGjgZwBlMGNwYZBfwF4AXIBbIFmQV7BVoFOAUZBPsE3AS9BJ8EgwRnBE0EMwQbBAQD7QPVA70DpQONA3UDYANQA0EDLgMWAvsC4gLMArMClQJxAkwCJwH9Ac8BnAFrAT4BEgDjALEAegBCAAb/yf+O/1v/Mv8Q/u7+yf6e/m/+Pv4P/eP9vv2e/YH9Y/09/Q781vya/GP8NfwM++H7r/t6+0f7GPrq+rv6jvpk+jz6E/nk+bL5hfld+Tb5CfjX+KP4cfhB+BL35Pe795b3b/dC9w/22van9nH2OvYE9dX1rvWH9Vv1K/T+9Nf0tfSR9G30TvQ19B/0CfPu88/zrfOI82TzRvM18yrzGPLw8q/yXfIJ8b3xgPFW8T/xMvEl8Qvw4vCv8HrwT/A08CzwL/Az8DHwLvAu8DXwQfBM8FbwYfBp8GnwYfBc8GvwlfDP8QDxGvEc8RLxB/EB8Pnw5/DH8JzwcfBY8F7whfDH8R3xfPHb8izyZ/KQ8rTy3/MS8z7zWfNl827zffOO85bzivNq8zvzB/LZ8rXym/KH8nfybfJs8nXygfKN8pnyqvLD8uDy+fMM8xnzIvMn8yXzHPMS8wvzCfMK8w7zEfMU8xbzGvMj8zPzSfNh83nzkvOu88vz5vP69Av0I/RO9JL06fVI9aD17/Y49oH2y/cS91T3lffd+DL4kvj1+Vn5v/op+pb7BPtz++P8VfzB/Rz9Zv2l/ef+Mv6A/sX++P8Z/zH/TP9w/5//1QALADsAXQBxAH4AjgCrANYBCAE7AWsBmAHFAfUCJwJbApMCzAMCAy8DVgN6A6ADyAPzBCQEWwSYBNAE/AUhBUwFigXeBj0GlQbeBx0HWwegB+IIDQgUB/oHzQeRBzYGpQXkBR0EkQRnBJAE2QUTBTEFRQVgBYQFpQW9BcwF3AXwBgoGJwZDBlsGbAZ5BoYGkwahBqwGtwbABsQGvwa1BrcG1QcQB1YHlgfIB/EIFQgxCEUIXQiGCMQJBgk4CVcJbAmECZ0JsAm/CdUJ+AoeCjQKNAopCiIKKQo6ClIKcQqXCrwK2QruCwYLLQtqC7cMBgxJDHQMfwxuDFQMRAxIDGAMhwy/DQsNZg3HDiEOcQ64DvQPHg8vDywPHw8PDv0O5w7QDsAOtg6rDp0OlQ6gDsAO5Q72Du0O1w7HDsAOpg5ZDcgM/gwTCxwKGgkNCAIHJQapBqwHHAfICHMI/QlgCakJ4QoLCiYKMAouCiEKDQnwCcsJmwljCSgI8QjBCJQIZgg2CAoH3QerB3IHQwcyB0UHXwdXBxgGtwZgBjEGIwYcBggF5gXEBaYFigVmBTsFDATgBLsEnQSFBG8EVQQyBAsD5gPFA6YDhANgAzwDHQMCAuQCvwKYAngCYwJSAjwCHwIBAe0B5QHfAc0BrAGBAVcBNQEXAPkA3ADEALMApQCSAHcAWQA8ACUAEwAE//T/4f/M/7X/nv+I/3X/Yf9L/zP/Hf8I/vb+5/7Z/s3+w/66/rD+pf6V/oP+cf5e/kz+Nf4a/fz94v3R/cj9v/2z/aL9kf2C/XP9Yv1N/TT9HP0G/PT85vza/ND8x/y+/LP8qPyc/JH8h/x9/HL8Z/xb/FD8R/xC/D/8O/w2/C78JPwc/BX8DvwH+//79vvt++T72fvN+8H7uPux+637qvup+6j7pvuh+5n7kPuN+5X7qPu7+8T7v/u0+677sfu4+7n7s/uq+6f7q/uu+6z7pvug+577nfuc+537ofup+637qfui+6D7qvu7+8f7x/u9+7L7q/uq+6j7ovuY+477iPuB+3L7WvtA+zL7OftP+2X7b/tt+2j7Zvtj+137Wftf+2/7gPuE+3b7YvtW+1n7Zftv+3L7cPtv+3H7dvt/+4r7l/uj+6z7r/uw+7H7tPu5+7/7xvvO+9f74vvs+/T7+vwA/An8Ffwf/Cb8K/wx/Dj8PvxB/EL8RPxJ/FD8VvxZ/Fz8Yvxr/Hb8g/yR/KH8sfzB/NH84fzz/Qb9Gf0q/Tb9P/1F/U39Wf1p/Xv9iv2S/Zb9l/2a/Z39oP2i/ab9rP20/b39xf3L/dH92v3m/ff+Cf4a/ib+MP45/kb+Vf5l/nX+g/6O/pn+pP6x/sD+zv7W/tj+1v7W/tr+4v7o/u7+9f8B/xD/HP8f/xr/Ff8W/x7/KP8x/zn/RP9U/2b/ef+N/6P/u//S/+T/8wAGACAAPwBdAHkAlgC4ANwBAAEhAUEBYwGEAaIBvAHXAfYCFwI3AlUCdQKaAr8C3gL2AwwDJgNDA2EDfwOiA8oD9QQdBEMEagSUBLsE1wToBPIE/AUFBQEE4QSaBC0DuANoA2oD0wSVBY4GkQd0CBcIbwihCPgJtArBC7YMFwu+Cv4KWgoYChQJ+gmcCRUIoAhbCD4IMggrCCcIHwgKB+YHwgeuB6sHrweqB5kHfgddBzsHIgcXBxcHFgcNBv0G8AbmBtsGzQbEBscG0AbSBsQGrQabBpAGhwZ2BmAGSwY4BiQGDwX9Be8F2wW0BXwFRwUnBRsFCwTlBKsEbwQ6BAkD0wOfA3sDcwN6A3cDUQMBApECFgGhAT0A5QCRADz/5/+a/1X/E/7O/or+UP4m/gj97v3V/cH9uP24/bb9rv2h/Zf9lP2S/Yz9ff1p/Vb9SP0//Tj9L/0l/Rv9Ev0L/Qb9BP0J/RX9Iv0s/TD9Mf0z/Tf9O/0+/UH9S/1a/W/9hv2g/b393P37/hf+Mv5N/mv+jP6s/s7+8f8W/zz/Yf+I/7L/3wAKADEATwBoAIQArQDsAUABnAHtAigCUgJ0ApECoAKZAoMCdQKHArkC8wMbAy0DPANgA54D5gQgBEEEVARnBIMEpwTKBOkFCQUvBVgFewWUBaYFvAXaBfwGGwYwBkEGUAZgBm4GeQaFBpcGrQbEBtgG6Ab1Bv4HAwcLBxcHJgcuBysHIgcfBygHOAdGB0wHTQdNB0wHSQdBBzkHMAckBxYHBwb9BvcG8AbmBtoG0wbPBskGvAaqBp4GmAaWBpQGkgaTBpYGkwaJBn8GfQaDBokGiAaCBnsGeAZ5BoMGmwa/BuMG9wb3BuwG3QbLBq8GlAaMBqMGyQbeBtEGswamBroG3wb0Bu4G3QbbBsgG4wb2BwEHCwccBzQHSwddB2sHdgeAB4gHkgedB6oHtwfBB8kH0QfdB+0H/ggNCBoIKAg8CFQIbAh/CI4Ingi0CNAI6wkACRAJIgk4CVIJaQl9CZAJqQnDCdoJ5gnsCfIJ/AoICg4KDgoMCgoKBgn6CeoJ4QnoCfwKEAofCi8KTgqACrkK6wsMCyMLOgtXC3kLmwu8C9oL9AwLDB0MLQw6DD0MNAwhDAsL9gvlC9YLxQuqC4ELSQsNCtwKwAq1CqgKjApgCjYKJwo+CnEKpwrJCtAKxQq2CqsKpgqlCqUKowqcCpAKgApyCmoKaQpqCm0KdAqCCpQKqAq9CtYK9wsdC0ILXwt2C4kLmAugC54LlguKC3sLZQtGCxwK5wqpCmcKLAoACecJ3wniCeoJ9QoACgYKBwoHCgkKEAobCicKMgo7CkMKTQpdCngKmgq8CtoK/Qs0C4UL5Aw8DHwMpgzEDN4M8gz7DPoM9QzwDO4M7AzjDNEMvQyrDKAMlgyHDHMMZAxjDG4Megx9DHQMaQxhDFwMVgxRDFIMWAxbDFMMRwxFDFEMYgxoDF0MSQw2DCcMGQwNDAYMAAvrC7wLdwsvCvMKwwqQClYKHAnwCdUJvgmeCXIJQwkbCP4I7AjiCNwI2AjSCMwIxwjHCMsI0QjVCNYI0wjOCMYIvgi6CLcIsAigCIgIbQhVCEEIKggNB+wHzAevB5AHbwdMBy0HEQb3BtkGugaaBnwGXwZABiIGBwXwBdkFvQWcBXoFXAVBBSQFBATlBMgErgSTBHcEWgRABCkEEwP8A+YD0AO8A6gDmAOJA3gDYwNJAy4DFwMDAuwCzgKrAoYCYQI5AgsB2AGlAXgBTQEhAO8AtQB0ADD/8f+9/5f/ef9b/zT/Bv7W/qb+dv5G/hn98/3U/bf9lv1r/Tb8+/zC/JH8aPxC/Bj75vux+3/7Uvsl+vb6x/qc+nP6Sfoa+ej5uvmR+Wv5P/kO+Nv4q/h8+E74Iff298z3ofdw9z33Cvba9qf2cvY+9hH16vXC9ZT1YfUx9Qv06/TM9Kn0iPRr9FD0NvQZ8/zz4PPB853zePNY80HzL/MV8uzys/Jv8ifx4fGl8XrxYfFV8UnxLvEA8MfwlvB98H7wivCO8H/wZfBR8EzwUvBY8FrwWvBc8F7wW/BU8FPwX/B38JDwofCm8KPwnPCT8Inwe/Bk8ETwJvAV8B/wRPB88L7xBPFM8ZLx0vIM8kPyfPK18ubzCPMc8yjzMvM38zHzFvLn8qvybfI68hnyBvH68fHx7fHz8gPyGPIp8jTyPPJI8ljya/J+8pDyofKt8rLysfKw8rLytPK28rfyu/LD8s/y3fLt8wPzIfNE82fziPOm88Pz4PP59A30H/Q29Fz0lfTe9S71fvXP9iT2e/bO9xj3V/eT99T4Hvhs+L35Evlu+df6TPrL+1L72PxS/Lf9CP1T/ab+Av5Z/pj+vP7R/u3/Gf9O/37/pf/H/+sAEwA4AFcAcgCTAMAA9QEnAVQBfAGmAdUCCQJAAngCrQLdAwgDLwNWA34DowPHA+8EIwRhBJ4E0AT2BR4FWQWsBhAGdAbJBxAHTQeGB7YHzwfIB6IHYQcHBosF5gUsBIgEKgQkBFwEowTVBO8FBAUgBUEFXgV1BYsFpgXEBeIF/AYSBiYGNQZABkoGVgZgBmcGaAZpBmwGcQZ5BoYGnwbEBvIHJgdaB48HvQfeB/MICQgwCGkIpgjXCPkJFQk1CVQJbQmACZsJxwn+CioKPQo1CiEKEAoNChwKPApnCpAKrgq/CswK4gsMC00Lnwv1DDgMWQxXDEAMKwwkDC4MRAxoDJ8M7A1GDaEN9g5DDoQOtw7bDvIPAA8FDvsO4w7GDq4OnA6KDnMOYQ5iDnoOlw6iDpMOdg5aDj0OBg2aDPgMNAtkCooJmQiPB44GzwaGBrwHSgf0CIsI/wlWCZgJygnqCfsJ/gn5CeoJ0wm0CYsJWAkeCOMIsAiGCF4IMQgCB9kHtweRB2AHLwcXByYHSQdUBykGzgZqBiMGAQXyBeEFyAWrBY8FcwVPBSIE8ATDBKAEiQR4BGUESAQgA/UD0QO0A5gDdgNOAygDDAL1AtwCtwKOAmoCUwJFAjMCFgH2AdwBzgHFAbYBmgFzAUoBJAECAOUAzAC5AKwAnwCMAHEAUQAwABP//f/t/97/zf+5/6P/jf94/2X/Uv8//yv/Fv8A/uv+2f7N/sb+wf67/rD+oP6M/nb+Yf5O/jz+Jv4L/ez90P28/a/9pv2a/Y39gP11/Wn9Wv1F/Sv9Evz8/Or83fzR/Mj8v/y2/Kv8oPyU/Ir8gfx6/HP8bPxj/Fn8UfxM/Ej8Q/w8/DP8KPwf/Bb8DvwH+//79vvr+9/70/vI+8D7uPux+6v7p/ul+6b7qPun+6H7l/uM+4j7jfuY+6D7oPub+5b7mPue+6P7pPui+6H7ovui+5/7mvuX+5T7kvuQ+5H7lfua+5z7mvuZ+6D7r/vA+8n7xvu7+677pfug+537mfuT+4z7ifuI+4L7cvtW+zv7LPsu+zv7SvtV+137Yftf+1X7TPtO+177cPt1+2r7W/tX+2L7cPt0+277Y/tg+2b7cPt4+3/7h/uR+5z7pvut+7P7ufvA+8X7yPvL+9D72fvm+/L7+vwB/An8FPwe/CX8Kvwu/DX8O/w//D/8QPxE/Ez8U/xX/Fj8Wfxe/GX8bvx6/Iv8n/yz/MT80fze/PD9BP0Z/Sr9Nf09/Uf9U/1k/Xb9h/2U/Zz9ov2m/ar9rf2w/bP9t/2+/cf9zv3T/db92/3n/fn+Df4e/in+M/4+/kz+XP5r/nj+h/6W/qX+sf67/sb+0f7b/t/+3v7c/t3+4f7l/un+7/77/wv/Gf8f/xz/Fv8W/x3/J/8v/zf/Q/9T/2b/ef+L/57/sv/H/9n/7AADAB8APQBaAHUAkwC2ANsA/gEfAUEBZgGJAaQBugHSAfMCGQJAAmMChQKmAsYC4AL2Aw8DLgNRA3EDkAOwA9UD+wQfBEIEaASSBLgEzwTZBN8E6QTwBOEEqQRGA8wDZwNHA44EPAUuBjEHEwe3CBgISwiBCPAJsgqfC1oLiQsmCoEKBwnsCgoKFQnaCWQI4Qh2CDAICwf+B/sH8gfYB7MHkgd+B3YHbwdlB1kHSgc1BxwHCAcCBwkHEQcMBv0G6gbbBs4Gwwa/BsQGzAbPBskGwAa8Br0GtgahBoMGZAZHBicGBQXlBckFqAV6BUEFEQT3BO0E2gSwBHQEOwQMA+ADrwN/A2IDXANdA0gDDAKsAjsBzwFvARgAxABsABL/vv91/zT+9/64/nv+SP4k/gv99P3b/cj9v/2//cD9uv2u/aP9nP2X/Y79ff1q/Vr9UP1L/UX9PP0y/Sf9H/0X/Q/9Cf0J/RH9Hv0q/TL9OP0//UX9Sf1J/Uj9Tf1a/Wz9gv2b/bj92P35/hf+Mv5N/mf+gf6a/rX+1f78/yj/V/+F/7L/2wACACYASABpAIsAsgDjAR8BYgGgAdcCCAI5AmoCkQKjAqUCqwLEAvIDIwNEA1QDYgOCA7cD9gQuBFUEcASKBKgEyQToBQIFHQU9BWEFhAWgBbYFzQXpBggGJwZABlUGaQZ8Bo4GnAapBrgGzAbiBvkHDgceByUHJgcoBzAHPgdIB0cHPAcyBzMHPQdIB04HTwdOB00HTAdMB0oHRAc4BygHGgcRBwsHAQb0BucG4gbhBtwG0AbBBrYGsAaqBqQGnwaiBqYGogaVBocGhAaMBpMGkgaKBoYGiwaVBqMGtgbNBt8G3gbIBqoGlQaPBpEGlgakBroG0AbVBsIGqQahBrQGzgbXBsoGuAa1BrUGxQbTBuAG9AcNByUHNwdFB1IHXQdnB28HeQeGB5QHoAeqB7UHxQfYB+wH/ggPCCAINQhLCGMIeQiNCJ4IrgjDCNwI9wkOCR8JLgk/CVQJawmBCZYJrQnFCdgJ4wnpCfEJ/goKCg4KCAoBCf4J/Qn3Ce4J6QnyCgUKGQooCjgKUwp+CrAK3QsBCx4LOQtRC2MLcQuEC6ALxAvqDAkMIAwtDDAMKAwZDAkL/wv5C+8L0QuZC0sK9AqrCnsKZQpcClQKSAo+CkIKXQqKCroK2grhCtQKwQq0CrIKtgq5CrsKvAq7CrcKrwqmCp4KmQqVCpMKlAqcCqsKwArZCvYLFgs1C08LZAt2C4oLnAuoC6oLpAuYC4cLcQtPCyIK6wquCnQKQwoiChEKDAoPChYKIAotCjcKOwo9CkEKSgpVCmAKaApvCncKgwqVCrAK1Ar6Cx8LRQt1C7cMBQxTDJIMwAzhDPwNEA0ZDRUNDA0IDQwNFA0TDQUM8QziDN8M3wzVDMMMtAy1DMIMzQzMDMMMvQy8DLcMqwyhDKYMuAzFDL4MpwyYDJ8MsQy7DLIMoAyQDIEMaAxEDCAMAwvmC7sLews0CvkKywqgCm0KOAoLCeoJywmkCXQJRwkmCRIJBwkACP4I/Qj6CPQI7gjsCPEI+Aj8CPwI+gj5CPYI8QjqCOMI2QjJCLEIlgh/CGwIVwg8CBwH+wfdB78Hngd7B1oHOwceBv8G3wbABqMGhQZnBkgGLgYXBf8F4AW8BZsFfwVmBUsFLAUNBPIE2QS9BJ0EfgRiBEsENgQiBA4D/QPtA90DzQO9A6sDlQN7A2EDSwM4AyIDBwLlAsECnQJ2AkgCFAHiAbMBiQFcAScA6ACgAFkAHf/y/9f/v/+d/3D/PP8K/tz+sP6C/lb+MP4Q/e/9xf2R/Vf9IPzu/MX8oPx7/E/8HPvn+7b7ivtf+zL7BPrX+q/6hvpY+iX59fnK+aL5d/lF+RD43Pis+IH4V/gw+Ab32Pej9233O/cM9tz2qfZ29kr2I/X89c/1nPVt9Uf1KPUH9OT0wfSi9Ib0aPRI9Cr0EPP389fzr/OE81/zQfMm8wny5vK98o3yU/IT8dXxpvGJ8XfxXfEy8Pzwz/C98Mfw2vDb8MPwnPB78G3wbPBo8F3wUPBJ8EzwUfBR8EnwPvA48DzwSfBa8GTwYfBT8EDwL/Ag8BHwAu/98ArwKfBS8Hzwo/DN8P3xNPFv8arx5vIf8lDydPKJ8pLylPKN8nryWfIq8fPxwfGe8Y3xi/GM8Yrxh/GL8ZnxrfHB8dDx2/Hl8fHx/vIP8iPyOfJO8lzyZfJr8nLyd/J78oDyivKe8rfyz/Lk8vzzHPNF83Lzm/O889jz8/QP9Cn0PfRN9GH0gvSy9O31LfVy9cD2F/Zx9sL3BPc692/3q/fu+DL4dvi++RL5evn4+or7J/u//EP8rv0J/WP9wP4W/lT+eP6R/rP+5P8a/0L/XP90/5j/ywAAACwAUQB6AKwA5AEYAUEBZAGKAbcB6gIfAlICgQKsAtUC/gMnA1EDdwOZA7wD6gQmBGYEnwTMBPcFLwWABesGYQbOByMHXAd9B40HjQd3B0MG6QZrBc4FIQSABA0D3wPzBCwEZgSRBK4EygTpBQUFGwUwBU0FcQWVBbAFwwXTBeUF9gYDBg4GGQYiBiQGIAYcBiAGLgZABk4GWQZpBocGuAb4BzsHcweXB6oHuQfVCAIINwhoCJEItgjcCQEJHwk6CVsJiwnJCgMKJwotChoJ/wnuCfEKDQo5CmgKjQqmCrYKxgrfCwgLQwuJC8oL9gwFC/4L9Av0DAAMEwwtDFUMkAzcDTANgQ3JDgcOPA5sDpoOww7dDuEOzw60Dp0OjA54DloOOg4nDikONg46DikOBw3ZDZwNQgzEDCkLgQrQCggJGggRByIGjgZ9BuAHfwgfCKAJAAlLCYcJsAnGCc4JzgnGCbYJmglzCUQJDQjSCJsIbQhJCCYH/QfRB6sHjAdrBzwHCAbnBuwHDgcnBxQGzQZtBhgF4gXHBbkFqgWXBX8FYgU9BQ8E2wSpBIQEcARoBFsEPQQPA90DtwOfA4kDagM/AxUC9wLiAswCrAKFAl8CRQI0AiICCQHrAc8BugGrAZsBhAFlAUABGQD1ANcAwACwAKMAlACBAGcASAAmAAb/6//W/8j/u/+s/5r/hf9w/1r/Rf8x/x3/Cv70/t/+zP7B/rz+uf60/qr+mv6G/m/+WP5B/iv+Ff37/d/9xP2t/Z79k/2I/X39cv1o/V79UP0+/Sj9EPz6/Of81vzI/Lz8sfyn/Jz8kfyG/Hz8dPxt/Gn8ZPxf/Fn8U/xO/En8Qvw4/C78JPwb/BP8CvwC+/n78Pvk+9b7yvvB+7v7tfut+6X7nvuc+537n/ui+6H7nPuU+4z7h/uJ+477kfuS+5L7k/uX+5z7nvue+537m/uZ+5X7kvuQ+477i/uK+4r7jfuP+5H7kvuY+6L7r/u6+7/7wPu8+7L7ovuU+4z7i/uO+477i/uJ+4n7hPt0+1j7PPss+yr7M/tB+077VftS+0f7PPs8+0r7XPtk+177V/tc+2v7eft2+2X7VftV+2T7dvuB+4L7gfuH+5P7ofut+7b7vPvD+8n7zPvO+9L72fvk++/7+fwB/An8E/wc/CP8KPwt/DP8Ofw9/D38PvxD/Ez8Vfxb/F38YPxj/Gj8bvx2/IX8mfyt/Lz8w/zJ/NX86Pz9/RD9Hv0q/Tf9Rv1W/Wf9ef2L/Zr9pP2r/bD9tv28/cP9yf3R/dr94v3m/eX95v3s/fv+Df4c/ij+Mf4+/kz+W/5m/nH+fv6P/qH+sP67/sT+zv7W/tr+2v7Y/tr+3/7k/uj+7f72/wP/EP8V/xT/Ef8S/xn/Iv8q/zP/Qf9T/2n/e/+K/5f/pv+3/8v/4f/8ABkANwBSAG0AjQCyANYA+AEYATsBYgGHAaUBvgHXAfcCHQJDAmcCiQKqAscC3gLyAwoDKgNMA2wDiQOqA9AD9wQbBDwEYQSKBK4EwgTJBM4E2ATbBL0EbQP2A34DPANbA+sE1QXlBtsHjAfqCA4IJghlCOwJtAqICxgLLQrTClEJ+wn1CiAKOgoVCa0JIgiZCC8H8gfaB9QHyAerB4UHZQdRB0QHOQcwBysHKQchBw4G+wb1Bv0HCQcIBvoG5QbSBsUGuwa3BrcGuwa+BsAGxwbVBuEG4AbNBq8GkQZxBksGHAXqBboFigVUBR8E9wTlBNsExASTBFQEGQPpA70DjgNiA0UDOAMpAv4CrwJLAecBjwFAAPAAmgBA/+n/m/9Z/x7+5v6u/nr+T/4w/hn+A/3t/dr9zv3J/cb9wP23/a79p/2g/ZT9hP1y/WP9Wv1W/VL9S/1B/TX9LP0k/Rz9Fv0T/RX9Hf0o/TP9Pv1J/VL9Vv1V/VP9Vf1d/Wz9f/2X/bL90v3y/hL+L/5J/mL+eP6O/qb+xf7s/xr/Tf+B/7H/3AAAACIARABrAJQAwQDwASEBUAF7AaEByAH4AjACZwKTArICzQLvAxgDQANdA3ADhAOjA9AEAgQzBF0EgQSkBMcE6QUGBR4FNAVNBW0FjwWwBcwF5AX9BhgGNAZPBmkGgQaZBq8GwQbQBt4G7Ab9BxIHKAc6B0MHRQdHB08HXQdqB2sHYAdSB0wHUAdZB2AHYwdjB2MHZAdjB18HVAdEBzQHKAcjBx4HFAcGBvoG9AbxBusG4AbWBtIGzwbHBrwGtAa2BrwGuQasBpwGmAacBp4GlQaKBogGlQanBrYGwQbNBtcG1Aa+Bp8GigaKBpsGrwa9BsUGxQa8Bq0GogalBrQGwgbABrEGpQamBq0GtQa9BswG5gcCBxgHJgcyB0AHTgdXB10HZAdvB34HiweYB6kHvwfYB+0IAAgTCCoIQwhaCG8IhQidCLMIxwjYCO0JBgkfCTEJPQlICVkJcAmGCZoJrgnCCdMJ3gnlCewJ9woCCgUKAAn4CfQJ9gn5CfsJ/QoFChQKJQo2CkgKXwp7CpkKtgrVCvkLHgs5C0MLRAtMC2oLmwvSC/0MFwwiDCIMHAwTDA0MDQwPDAQL2guLCyUKxwqKCnQKdAp2Cm8KZgpoCn8KpQrNCugK8ArnCtcKywrHCssK0grWCtgK2grfCuMK4QrZCs0Kwwq7CrYKtQq5CsQK2Ar1CxgLPAtbC3ELgAuNC5wLrgu8C8MLxAu9C64LkgtoCzEK9Aq4CoQKXgpHCj0KOgo8CkEKTApaCmYKbgp0CnsKhwqWCqIKqQquCrUKwArSCuwLDgs2C2ALiwu7C/UMOgyBDL4M6Q0GDR4NMw1ADUINPA05DUINTg1QDT4NJQ0XDRsNJA0iDRQNCg0ODRwNIg0bDRINEw0bDRkNBwz2DP0NGQ0uDSIM+QzVDM8M4AzvDO0M4QzVDMIMmwxgDCML+AvbC7kLggs9Cv4KzgqkCncKRQoZCfQJ0AmjCXMJSwkzCSgJIgkcCRsJHgkgCRwJFQkQCRMJGAkbCRsJHAkfCSEJHAkRCQQI+AjpCNQIvAimCJIIfwhlCEYIJwgJB+sHywenB4MHYgdDByQHBQbnBsoGrQaOBnAGVQY9BiIGAgXeBb4FpAWMBXEFUwU2BRwFAgTlBMMEowSIBHIEXQRIBDcEKQQdBA4D/APpA9YDwgOtA5YDgANtA1kDQQMkAwMC3gKzAoMCTwIeAfIBxwGVAVgBEADEAH8ATAAqABT/+v/T/6D/a/89/xP+6f69/pL+bv5M/iT98f21/Xz9S/0i/P782vyy/IT8Ufwd++z7wfua+3D7RPsY+u/6xvqZ+mb6NPoG+d35s/mD+U35F/jl+Ln4kvht+ET4FPfd96T3cPc/9xD23vas9n/2WPYy9gX11PWl9X31WfU09Q/06/TO9LT0l/R29FT0OPQe9AHz2/Ov84XzYPNA8yPzCfLy8tjysfJ68jjx+vHL8arxi/Fh8THxCfD48PvxAvD78ODwvvCl8JrwlPCI8HHwWPBJ8ErwVPBb8FXwQvAs8CLwLPBF8FrwXfBK8C7wF/AL8AfwBvAJ8BbwLfBG8FvwbPCA8JzwwfDr8RjxR/F08Zvxt/HH8czxy/HC8bDxlvF18VXxO/Et8SzxM/E58TnxNPEy8TnxSfFf8XjxkPGl8bXxwvHP8eDx9vIN8iHyL/I78kfyUvJd8mzyg/Kj8sby5vL98xHzLPNS84Dzq/PO8+j0APQb9Dn0U/Rm9Hj0jvSu9Nb0//Ut9WX1rvYA9k32ifa49uX3Hfdg96f35/gi+GD4rfkV+aD6S/sH+7r8UPzF/SP9df2//fr+JP5G/mz+m/7I/ur/Av8g/1D/jf/J//kAIgBRAIsAyQEAASkBSwFvAZoByAH2AiICTgJ6AqMCzAL1Ax8DRgNqA40DtgPrBCgEZQSaBMkE/wVNBb0GRwbPBzUHaQdxB2EHSgcmBuQGcQXPBRUEZwPmA6QDnwPFA/gEJARGBGUEhgSnBMIE2QTzBRYFPAVbBW0FeAWGBZgFqgW3BcAFzQXcBeYF5wXlBegF9gYFBgwGDAYSBi4GZQatBvUHLgdQB2AHawd9B54Hygf6CCkIVAh/CKcIzgjzCRwJTwmLCcYJ8woHCgMJ7wncCdcJ6AoLCjYKXgqACp0KtwrQCugLBgssC1gLgAuZC6ILpwuxC8QL3Av3DBcMQgx9DMINCQ1LDYcNwg3/Dj8OeA6eDqwOpA6TDoUOeQ5lDkEOEg3pDdINyw3GDbANgg05DNcMYwvlC2YK5ApMCYoImQedBtUGewagByAHvQhHCK8I/wlACXQJlQmhCaEJnAmTCYAJXwkyCP4IxgiNCFgILQgMB+8HzAelB38HXQc4BwsG1gatBqAGrwbGBscGogZcBg4FzgWnBZYFjwWEBXAFUwUuBQIEzwSZBG0EVQROBEYEKwP6A8MDmwOIA3oDYAM2AwcC4wLLArcCnQJ8AlsCPwIpAhQB/QHiAcUBqwGVAYMBcQFaAToBEwDsAMwAtgCoAJsAiQBzAFoAPgAe//z/3f/D/7L/p/+d/5H/gf9r/1L/OP8h/w3++/7o/tX+xP64/rH+q/6k/pn+i/57/mb+Tv4z/hv+A/3r/dH9tv2f/Yz9gP13/W79ZP1a/U79Qf0y/SH9Dvz4/OP8z/y+/K78n/yT/Ij8f/x3/G78Zfxe/Fr8V/xV/FL8TvxK/ET8Ovwv/CX8Hvwa/BT8DPwC+/j77fvg+9H7xfu++7n7svup+537lPuO+4z7jPuP+5T7mfub+5n7lfuS+5P7lvuZ+537oPuh+6H7n/ub+5j7lPuS+4/7jfuK+4j7hfuF+4f7ifuM+477k/ua+6D7o/ul+6z7ufvF+8H7q/uN+3r7efuE+4r7hft++3z7gPt/+3H7WftE+zn7Ofs/+0b7SftF+zz7NPs1+0L7U/ta+1f7U/tZ+2j7cvtp+1P7Q/tI+2D7fPuM+4/7jfuR+537rfu4+737v/vA+8T7yvvP+9X72/vj++379/wA/An8E/wb/CH8Jvwq/DD8Nvw4/Dn8Ovw//En8U/xc/GP8avxx/HX8ePx+/Ir8nfyv/Lv8vvzB/Mn82fzs/P39Cv0X/ST9Mf09/Uv9W/1u/YD9jP2U/Zz9pv2y/b79yP3R/d396P3w/fP99P33/gD+Df4a/iT+Lv45/kX+Uf5a/mT+cf6C/pX+p/61/sD+yf7P/tL+0v7S/tX+2/7g/uP+5/7t/vb+//8E/wX/B/8M/xT/Hf8m/zD/QP9U/2n/ev+G/4//m/+r/7//1//zABEALQBJAGYAiQCwANUA9AESATMBWgGCAaUBwwHiAgICJAJEAmMChAKnAsYC3wL1Aw0DKwNMA2kDhwOpA9ED+AQZBDYEWAR+BJ4EsQS3BL4ExgS/BJAELwO0A1YDSgOwBIAFkQajB3kH8QgTCAwIFQhdCO8JsApmCtYK5QqkCk8KGwodCjoKRQobCbcJLQieCCsH5AfHB70HrAeLB2MHQwcxByQHGAcNBwoHDQcKBv0G7gbpBvIG/gcABvUG4QbPBsAGtQasBqcGpAakBqkGtwbMBt0G4gbYBscGtQagBn0GSgYNBdAFkwVWBR4E9gTgBNIEtgSEBEQEBwPUA6UDdANGAyIDBgLfAqACSQHtAZ0BWgEWAMYAbAAT/8T/gf9H/xD+2/6r/oH+X/5D/iv+Fv4C/fD94P3U/cv9xP2//br9tP2s/aH9k/2E/XX9af1i/V39Vv1M/T/9M/0r/Sf9I/0f/Rz9Hv0m/TP9Qf1O/Vf9XP1c/Vr9XP1j/XD9gv2W/a79yf3n/gb+Jv5E/l/+eP6R/q3+zf7z/xz/Sv98/7D/4QALAC4ATgBwAJgAxQD2ASgBVQF8AZ4BwAHrAiACWQKMArcC3gMGAy8DVANzA40DqAPIA+wEFAQ8BGQEjQS1BNwE/wUeBTgFTgVlBYAFogXFBeQF/gYWBi8GSgZmBoIGnAa1Bs4G5Ab2BwMHDQcZBykHPQdRB14HZgdsB3gHiAeUB5QHiAd6B3IHcwd5B38HgweEB4UHhAeBB3cHaQdYB0oHQgc/BzsHMQcjBxYHDQcEBvkG7gbpBu0G8AbqBt0G1AbWBt4G3QbRBsQGwAbCBr0GqgaUBo0GmQaqBrMGtQa7BskG1QbUBsUGtwa3BsQG0QbSBscGtQakBpkGmgalBrMGuAayBqYGoAalBqEGpwawBsMG3wb6BwsHFQcfBy0HOwdCB0YHTQdbB20HgAeSB6gHwgfcB/EIAggWCDEITQhkCHgIkAiuCMwI4wjwCP0JEQknCTkJQwlMCVwJcgmICZkJqAm5CcsJ2QngCeMJ6QnzCfoJ+gn1CfEJ9Qn+CggKEAoWCh4KKgo8ClIKaAp5CoQKjwqiCsQK7QsMCxgLFwsdCzsLcAurC9wL+wwNDBoMJQwqDCoMJgwfDAkL1wuGCygK3gq+CsYK2wrgCtAKuQqyCsAK2grvCvcK8wrtCukK6ArsCvAK9Qr4CvoK/gsFCwsLCgsACvIK5QreCtwK3ArdCuUK9wsWCz4LZwuIC50LqQuxC7sLyAvUC98L5gvlC9YLtAuAC0ELAQrICpsKegpoCmEKYgpoCnEKfQqMCpkKowqrCrYKyArcCuwK9Ar2CvoLAwsRCycLRQtsC5kLyAv6DDIMcwy2DPANGA0xDUcNXg1zDX0NfA17DYINjQ2LDXYNWw1ODVcNZg1pDWANWw1lDXYNeg1vDWUNbQ19DX4NaQ1VDV0Nfg2VDYANRA0KDPQM/Q0KDQgM+gzsDNcMrAxrDCgL+gvgC8ILjQtFCwEKzgqmCn0KTwokCf4J1gmoCXkJVwlICUUJQAk5CTUJOAk9CTsJNAkuCTAJNQk4CTgJOAk8CT8JOgkuCR8JEwkICPgI4gjLCLYIoAiHCGkISgguCBIH8gfPB6oHiAdoB0oHLAcPBvIG1ga3BpgGewZfBkIGIQYABeMFygWyBZYFeQVdBUQFKgUKBOgEygSyBJ0EhwRzBGMEWARNBDwEJQQPA/4D8APhA84DugOmA5QDfwNmA0YDHwLwArwCiQJcAjMCBwHNAYMBMQDkAKcAfQBiAEoAKf/8/8n/mv9x/0r/If71/sz+qP6D/lX+HP3f/az9hP1i/T39FPzn/Lj8hvxS/CL7+PvT+637g/tW+yv7AfrU+qH6bPo8+hP56/m/+Y35Wfkn+Pv40vip+H34S/gV9933qPd390f3Ffbk9rj2kPZp9jz2C/Xa9a/1h/Vg9Tn1F/T69OH0xfSj9ID0YfRE9CXz//PV86zziPNm80bzK/MV8wPy6vLC8ozyU/Ih8fvx2PGw8YbxX/FC8S3xGvED8Ozw3PDX8Nfw0fC+8J/wf/Bp8GTwb/B/8Ibwe/Bj8E7wS/Bb8G7wcfBd8D7wJPAX8BfwG/Ai8C3wO/BJ8FPwXfBq8H3wk/Cp8MHw3PD68RXxJvEv8TPxNPEz8SzxIPES8QXw/PD38Pbw9/D38PXw8/Dz8PrxCvEj8UPxZfGE8ZvxqvG28cXx2vHx8gfyGfIq8jryTPJg8njyl/K88uLzAfMW8ybzOvNY84DzqfPN8+j0APQa9Db0UvRq9H/0l/S09NP07/UL9S71YPWd9dr2CfYs9lH2h/bP9x73aPej99X4C/hV+Mf5avo1+w37zvxj/M39G/1d/Zf9yf30/hz+Q/5p/or+rv7c/xn/XP+X/8T/7QAfAF4AoQDcAQkBLwFWAX8BpwHNAfUCIgJSAn8CpgLKAu8DFwNAA2YDiwO3A+wEKQRmBJ4E1wUjBZMGIga1ByEHTgdDBx4G+QbOBoAF9wU5BG4DxgNkA0kDYgOSA8AD4wP+BBoEOQRZBHcElgS5BOAFAwUYBSQFMgVKBWUFdgV3BXQFegWPBaYFswW0BbMFuAW/BcIFwgXMBe0GJgZrBqsG2wb6Bw0HHQcxB04HdAegB8wH9ggeCEgIdgioCN0JFglPCYQJrwnLCdUJ0QnGCcEJyQnfCf0KHgpBCmgKkgq3CtIK5Ar2CxALMAtMC1wLZAttC34LmAu2C9QL9gwgDFQMjgzJDQcNSw2VDd8OHg5IDlsOXw5dDlsOUw48DhEN2A2gDXYNXA1FDR4M2AxvC/ELdQsMCrQKVQnOCQwIIwdJBr0GpAbyB3cH/whrCL0JAAk6CWUJfAl+CXYJaglbCUIJHgjvCLwIhghQCB0H8wfTB7gHnAd4B04HJAb8BtMGpwZ8BloGSgZNBlgGWAY7BgMFvwWKBXEFbQVpBVcFNwUTBO4EwwSRBGAEQQQ2BC8EFgPlA6wDggNwA2cDUwMrAvsC0gK2AqICjQJ0AlkCQAIpAhIB+gHfAcEBogGGAXMBZgFWAToBEQDkAMEArACgAJQAgABnAE0AMgAV//T/0/+2/6H/lf+O/4b/ev9l/0n/LP8S/v7+7P7b/sn+uP6q/qD+lv6L/n7+cv5k/lL+PP4i/gn98/3c/cP9p/2M/Xj9a/1k/V79Vv1J/Tv9Lf0f/RH9Afzu/Nn8xfyz/KH8kPyB/Hb8b/xo/GD8WPxR/E78TfxM/En8RvxC/Dz8Mvwn/B78G/wb/Bn8EvwJ+/778/vl+9f7y/vC+7v7svum+5j7i/uD+3z7ePt4+377ivuV+5z7nPuZ+5X7lfuX+5v7nvuf+5z7lvuQ+4z7ifuI+4f7hfuB+377fPt9+4D7hPuI+4z7k/uY+5f7jvuJ+5P7rvvK+9D7tfuJ+2v7aPt3+4P7gPt1+3H7dvt7+3f7aftZ+077SPtE+0H7Pvs8+zn7N/s7+0b7UvtY+1T7TvtP+1n7X/tW+0P7Nvs9+1f7dvuN+5f7nPul+7L7wPvI+8j7xPvB+8H7x/vP+9f73vvl++379vwB/Ar8E/wa/B/8JPwo/C38Mfwz/DP8NPw5/ED8SvxV/GD8bPx1/Hv8ffyC/I78ofy0/MD8xvzL/NX85Pzy/Pz9BP0L/RX9Hv0m/S/9PP1M/Vz9aP1w/Xn9hv2W/aX9sP25/cX91P3k/fH9+v4B/gn+E/4c/ib+L/44/kP+Tf5Y/mT+cv6C/pT+pf60/sH+yf7O/tD+0f7T/tf+2v7b/tz+3/7j/ur+8f72/vr/AP8K/xX/IP8r/zb/Rf9X/2n/d/+B/4z/mf+p/73/1P/vAAoAJgBDAGQAiQCwANQA8wEPAS8BUwF5AZ4BwgHmAggCJQI/AlgCdgKYArkC1QLvAwoDKgNMA2sDiwOuA9QD9gQTBC4ETgRzBJIEowSqBK8EsQScBFsD8gOIA1UDiQQuBSoGQwc+B+cIMAguCBcIJAh1CQUJrwpBCpcKqAqICl0KQwo+CjsKHwnaCW4I7QhvCA0H0ge4B60HmAd1B04HMQciBxkHDAb8BvEG7QbsBucG4gbhBugG7wbvBucG2QbLBr0GrwajBpoGlQaSBpQGnAapBrYGuwa4BrQGsAaoBpEGaAYzBfkFugV3BTME+gTTBLgEmARrBDMD+wPIA5UDYQMsAvsCygKOAkEB6wGdAV8BKADnAJYAO//p/6b/bv86/wb+1f6t/o3+cv5W/jz+Jf4S/gL98v3i/dX9zv3K/cb9vv20/ar9oP2V/Yb9eP1t/Wb9YP1V/Ub9OP0w/S79Lf0p/ST9JP0r/Tf9Rf1Q/Vb9Wv1c/V39YP1o/XX9hv2a/a39w/3e/f7+If5D/mL+f/6d/r/+5P8J/yz/Uv9//7P/6QAaAEEAYQB/AJ8AxgDxASABTwF6AaIBywH5AiwCXgKLArUC3wMOAz4DagOQA7AD0APvBA8EMARRBHYEnQTEBOoFDwUwBU4FZwV+BZcFtgXXBfcGEgYrBkUGYgZ+BpkGsAbIBuAG9wcLBxkHIwcwB0AHVAdpB3oHiAeXB6kHugfDB78HswemB58HngegB6EHogeiB6MHogedB5QHiAd7B3AHagdkB10HUQdEBzoHMQcmBxYHCQcGBwwHEgcOBwIG+gb8BwIHAAb1BusG7Qb0Bu8G2Aa6BqgGqQayBrUGsAaxBsAG1gbjBuIG3AbZBtsG2AbMBrUGmwaHBn4GhAaUBqQGqgakBpsGlgaaBpEGnAaqBr4G1gbsBvkHAAcIBxMHHgckByoHNgdLB2YHfweVB64HyQfjB/cICAgcCDgIVQhuCIQInwjCCOUI/AkFCQsJFgknCTYJPwlHCVcJbwmECZIJnQmrCb8J0QnZCdoJ3AnmCfMJ+wn6CfcJ+QoEChIKGwofCiAKJwo1CkkKXgptCnMKdgqACpgKuwrbCu0K8gr5Cw4LNQtmC5cLxAvxDB4MQwxUDEwMMQwQC+sLvQuCC0QLGAsPCyMLNws1CxkK9wrmCusK+wsHCwwLDgsUCxwLIQsgCxwLGQsZCxsLIAskCygLJQscCxALBwsFCwgLCwsNCxMLJAtDC2sLkAurC7sLxgvOC9gL4gvsC/YL/gv+C+0LxQuNC00LEwrhCrgKmQqGCoIKiQqWCqUKtQrECtEK2grkCvQLCgskCzgLQQtDC0QLSgtVC2ULfQugC80L/QwvDGYMpAznDSQNUA1sDYMNnA21DcMNwg29Db0Nwg29DaoNlA2NDZkNqQ2rDaUNqA29DdUN3A3QDccN0g3mDeoN0w28DcIN4g32DdoNlQ1TDTQNMw0xDRwM/QzlDNEMrwx4DDoMDQvwC88LlwtPCw4K3wq7CpMKYwo1CgsJ4wm2CYwJcAlnCWcJYglXCU4JTAlOCUwJRglCCUYJTQlQCU4JSwlNCVAJTglFCToJMgkpCRwJBwjuCNUIvQiiCIQIZghMCDIIFAfyB84HrQePB3EHUwc0BxgG/AbeBsAGoAaBBmIGQgYkBgkF8AXWBboFngWEBWsFTwUuBQ0E8QTcBMgEtAShBJIEiAR7BGYETQQ2BCkEIQQXBAcD8wPgA84DuwOiA4IDWgMpAvUCxAKaAnECPwH6AacBUQEJANYAtQCaAHsAUgAi//L/yP+l/4H/WP8s/wP+3f61/oP+Sf4S/ej9yP2n/X/9T/0c/Oz8u/yK/Fn8MPwL++b7u/uM+177M/sG+tT6oPpu+kL6Gvnw+cL5k/lm+Tv5D/jh+K/4fPhJ+Bb34/ey94L3Ufcj9vf2z/am9nj2R/YW9er1wvWc9Xb1UvUy9RX09vTV9LT0lfR29FL0KPP889TzsfOR83HzUPM08x7zCPLs8sfynvJ38lXyNPIR8e3xxvGf8XTxSvEp8RjxGvEl8SrxIPEF8OPwv/Cj8JfwnvC38NHw2fDH8Kbwi/CB8ITwg/B08FrwQvA08DLwN/BA8ErwUvBY8F3waPB58I3wnfCn8LDwvfDQ8ODw5/Do8Ojw7fD08Pnw+fD28PLw7fDl8NrwzvDH8Mfwz/Dc8O7xA/Ee8T3xXvF98ZXxp/G38cjx3vH28g3yIvI28kryX/J38pTytfLZ8vvzFfMn8zTzQ/Nd84DzqPPO8+70CfQi9Dz0VvRu9IX0oPS/9N/0/PUS9Sn1SfVy9Zv1u/XT9fH2IfZn9rv3DPdQ94T3r/fg+C/4sPlm+jz7Dfu5/Dj8l/zo/TL9df2t/dn9/f4d/j/+a/6l/uv/MP9p/5X/v//zADQAeACzAOQBEQE+AWcBiwGqAdAB/wI0AmMCiAKkAsQC7AMZA0QDaQOOA70D/QRGBI8E1AUeBYEF/gZ9BtoG+gblBrwGlAZkBgoFbgSiA9YDQQL+AwADKQNZA4IDowO/A9oD9QQRBDAEVgSABKYEwATPBOAFAQUzBWEFcgViBUQFNgVDBV4FcwV3BXIFbgVwBXUFfQWOBbAF4wYbBk0GdAaUBrEGzgbtBw8HMwdZB30Hnge/B+YIFwhSCJQI1AkOCT0JYgl+CZAJmgmeCaEJqgm6CdAJ5woBCiIKTgp8CqMKvwrVCu4LDgsrCzsLOws3CzwLTgtoC4ULowvFC+0MHAxQDI0M1g0oDXYNtQ3fDfgOCQ4XDh0OFA31DcINhA1GDQ8M3gyqDGEL+gt4CvMKiQpGChgJ1QlVCJcHxgcjBt4G/wdjB9oIQgiRCNEJCgk6CVoJZwliCVIJPAkgCP0I1AinCHcIRQgSB+EHuAeYB38HZQdDBxYG5Qa8Bp4GhAZhBjIGBAXuBfsGFwYcBfMFpwVgBT4FPQVDBTQFEQTqBMoErASFBFoENwQnBBwEAgPQA5YDawNYA1EDPwMbAu0CxAKnApECfQJoAlMCPwIrAhYB/wHlAcQBnwF+AWkBXwFVAT4BFQDlAL0ApACXAIoAdwBcAEAAJQAK/+3/zv+x/5r/iv+C/3v/b/9a/z3/IP8H/vP+4f7M/rb+oP6P/oL+dv5q/l7+Uv5G/jX+If4L/fb94/3O/bX9mf1+/Wn9XP1U/U79Rf04/Sj9Gf0L/P387vzc/Mr8ufyp/Jj8hvx1/Gn8Yfxa/FL8SvxE/EP8RPxE/EH8Pfw5/DP8Kvwf/Bf8FfwW/Bb8EvwK/AL7+vvw++P71/vL+8D7tPul+5T7h/t8+3X7b/tr+277dvuC+4v7jvuM+4j7hPuD+4X7h/uH+4X7gft9+3z7fft++337e/t3+3P7cvtz+3b7eft++4b7j/uU+477gPt1+337nPu9+8b7rfuB+2L7X/ty+4P7hvuA+337fvt9+3T7Zvta+1P7TPtD+zn7NPs3+zv7PftA+0f7UftW+1L7SvtG+0r7T/tM+0L7Ovs/+1H7avuA+5D7nfuq+7f7wvvJ+8z7yvvI+8j7zPvT+9z75Pvr+/L7+/wF/A38E/wY/B38Ivwn/Cv8Lvwu/C/8MPwz/Dj8P/xI/FX8Yvxt/HT8d/x9/Ir8nfyy/ML8zfzX/OX88vz8/QD9Av0G/Q39Fv0f/Sj9M/1B/U/9Wf1h/Wn9df2E/ZH9mv2h/av9uf3N/eP99/4H/hP+HP4l/i7+Ov5F/lH+Xf5r/nz+jP6a/qf+tP7A/sr+0P7T/tb+2v7f/uL+4P7e/t3+3/7l/uv+7/7z/vn/A/8P/xz/Kf80/0D/Tv9c/2v/ef+G/5P/ov+0/8j/3v/2ABAAKgBGAGUAiQCuANAA8AEOAS0BTgFxAZUBuQHeAgACHQI0AksCZgKFAqQCwQLcAvwDHwNEA2YDiAOqA8wD6gQGBCQESQRvBI0EnAShBKIEmwR2BCgDwQNxA3ED3wSxBbwGxAeWCBMIOgguCCIIQgigCSkJuQosCm4Kggp4CmUKUgo7ChMJzgluCPwIiQglB9sHrwecB5EHfwdgBz4HJQcbBxcHCwb2BuAG0wbRBtYG2gbbBtkG1QbPBsoGxQa/BrYGqwafBpgGlAaRBo4GjAaMBowGiQaDBn4GfAZ3BmsGVQY3BhEF3gWaBUgE9wS1BIcEYwQ/BBcD7AO/A40DUwMTAtICjwJFAfUBpwFjASsA8wCvAF0ACv/C/4v/XP8t/vz+0P6w/pj+gf5m/kj+Lv4c/g/+Af3y/eX93f3Z/dP9xv24/a39pv2e/ZL9gv10/W39aP1e/U/9P/01/TP9Mv0v/Sv9LP01/UH9TP1T/Vb9Wf1d/WH9Zf1s/Xn9iv2d/a/9xP3d/f7+Iv5G/mf+hf6n/s3+9v8d/0D/Yv+L/7r/7gAfAEoAbwCRALEA0gD1ARkBQAFpAZYBxwH8AjACXgKGAqwC2AMMA0MDdgOgA8QD5gQIBCoESQRpBIsErgTUBPkFHQU/BV8FewWVBa4FygXpBgYGIQY8BlcGcwaNBqMGtwbMBuIG+QcMBxwHLAc/B1YHbQeBB5MHpge+B9YH6AftB+cH2wfRB8sHyAfEB8AHvQe8B7wHuwe4B7MHrAeiB5gHjgeEB3kHbgdlB18HWgdSB0UHOAcyBzQHNQcwByYHIAcgByAHGAcJBwEHCgcaBx4HCwbrBtEGyQbLBswGyQbJBtAG2gbfBtwG1QbMBsIGswadBoUGbwZeBlUGWQZrBoAGjgaOBoYGggaGBosGnAaqBrcGxgbWBuIG6gbyBvsHAwcJBxIHJQdCB2IHfgeXB7AHzQfoB/4IEAgmCEIIYAh8CJYIswjXCPgJDAkSCRQJGwkmCTAJNgk9CU4JZwl9CYoJkgmdCbAJwwnOCdAJ0wneCe4J+woACgAKBAoPChwKJQooCigKKQovCjkKRwpVCmEKawp1CoMKmQq0CsoK1wrcCuEK8AsQC0ILhAvPDBcMSgxVDDYL/gvIC6QLkAt+C2YLTgtDC0YLSQs9CyILCQsBCw4LJAs3C0QLUQtfC2gLZQtYC0gLPQs6CzoLOws9Cz4LPQs3CzALLQswCzYLOws/C0gLXAt6C5kLsAu7C8ILywvZC+kL9Qv+DAYMCwwIC/ILxwuPC1cLKAsACtwKvQqqCqgKtArICtwK7Qr7CwkLFQsiCzULTwtrC4ALiwuOC5ALlgufC6wLvwvdDAcMNgxlDJgM1A0aDV4Nkw22DdAN6Q3/DgkOAg31De4N7Q3rDeAN1Q3XDeYN8w30DfEN/g4fDkIOTg5DDjgOQg5VDlcOPg4iDiEOOA5EDiUN5Q2sDZMNjQ13DUQNCAzgDMwMtwyNDFUMIwv8C9ILmwtcCycLAgrgCrMKegpCChYJ8AnLCagJkQmKCYoJhQl3CWgJYAldCVgJUQlPCVUJXwliCV4JWAlYCVwJXglbCVUJTwlICTkJIwkICO4I1Qi5CJsIfwhmCE8INAgUB/MH0we3B5kHeQdZBzwHIQcGBugGyAanBocGaAZLBjAGFQX5Bd4FxAWsBZIFdQVTBTMFGQUGBPQE4ATNBL4EsgSiBI0EdARiBFgEUwRJBDkEJQQTBAID7wPWA7YDjwNhAzADAALSAqACYwIWAcABcgE2AQ8A8gDTAKoAegBKAB//+v/Z/7X/jf9i/zn/Ef7l/rL+fP5N/ir+Dv3s/b79if1U/SP89PzD/JP8afxE/B378Pu/+4/7Y/s3+wj61vql+nj6Tfoh+fL5xfmb+XP5R/kW+OP4sfiB+FL4Ivfw97/3j/dh9zb3DPbi9rT2hPZU9ij2APXc9bj1lPVv9Uv1KPUG9Of0y/Ss9If0WvQr9ADz3fO/86DzffNb8z3zIvMH8uvyzfKw8pTyd/Jb8j7yIPH88dLxpvGG8XrxgPGJ8YXxcPFQ8SzxCfDp8NTw1vDx8RbxLPEe8PTwwvCh8JbwlPCP8IDwbfBe8FjwXPBm8HHwd/B48Hnwg/CX8K/wwPDG8Mnwz/DY8N7w2vDQ8MnwzPDX8OPw6fDq8Onw5fDb8Mzwv/C68MPw1/Dy8Q3xKPFC8Vvxc/GJ8Z7xsfHH8d7x9/IP8ifyPfJS8mbye/KT8rDy0vL28xXzLPM780fzWPNz85fzv/Pn9Aj0JPQ+9Ff0cfSI9J/0ufTY9Pv1G/U09Uj1YPV99Zz1tvXL9eT2DfZJ9pT24/cs92f3k/e39+f4Ovi9+Wn6IvrN+1772fxL/Lj9Gf1o/aL9yv3o/gf+Mf5r/rH+9/8z/2T/lP/OABAAUgCNAMIA9QEmAVIBdAGRAbQB4gIWAkYCaQKDAp8CxgL1AyQDTANzA6YD7gRJBKYE+AU+BYcF2wYxBnAGggZvBkwGJgXuBYQE2gQJA0wC1AKwAsYC8QMaAz0DXgOBA6IDvQPVA/IEGQREBGYEegSFBJ8E1wUlBWcFfAVdBSUE/gT8BRMFKQUvBSgFIgUkBS0FOQVLBWcFjwW8BeYGDAYuBlIGeQajBs0G9AcXBzQHTgdqB40HvQf5CD0Iggi+CO0JDwkoCT8JUwllCXYJigmhCboJzQncCewKBgouClkKgQqkCscK7AsLCxwLGQsNCwYLCwscCzILTQttC5MLvgvtDCYMbQy+DQwNTA14DZkNtQ3MDdMNwg2ZDWENJAzkDJ4MTgvsC3YK7QphCe0JqwmXCY4JXAjiCDQHjAcrByoHdQfeCDwIhAi8CO0JGQk6CUwJUAlICTQJFAjqCLwIjQhfCDAIAAfPB6EHeQdZBz8HJgcEBtcGpgZ/Bm0GZQZRBiIF5QXABcoF8gYGBd4FhQUsBQEFBwUYBRAE6gS+BKEEjgR1BFIEMAQZBAgD6AO0A3kDTgM9AzYDJgMEAtgCswKXAoMCbwJaAkUCMwIiAhICAgHrAcwBpAF+AWQBWAFRAUABHgDxAMYApgCSAIAAbABSADcAGwAB/+j/zf+y/5r/h/97/3H/Yv9M/y//Ev78/uv+2f7A/qP+h/5w/mD+U/5H/jv+MP4k/hT+A/3x/eD90f2+/aj9kP15/Wb9V/1L/UD9M/0l/Rf9Cfz9/O/83/zM/Lr8q/ye/I78ffxs/F/8VvxP/Eb8Pfw3/Df8Ofw5/DX8Mfwu/Cr8IvwX/A38CPwI/Af8A/v9+/j79fvy++r73vvR+8P7tPuj+5L7hPt7+3T7bvto+2X7Zvtq+2/7c/t0+3T7cvtw+277bvtu+2/7b/tw+3L7dft2+3X7cftt+2r7aftq+237cPt2+377ifuQ+477gPtz+3P7hPub+6L7kft0+2H7Y/tz+4L7ifuM+477jfuC+237WPtN+0r7SPs/+zT7Lvsy+zf7Ofs5+z37R/tQ+1D7SftC+0H7RvtK+0r7SftL+1P7YPtv+377jPuZ+6P7rPu1+7/7yvvR+9X72Pvc++L76vvy+/v8A/wL/BD8E/wX/Bz8Ivwn/Cv8LPws/C38Lvww/DH8Nfw8/Ej8Vvxi/Gr8b/x2/IP8lPyn/Lb8xPzR/N/86/zy/PT89vz8/Qn9GP0n/TT9Qf1P/Vv9Zv1v/Xf9gf2M/ZX9nf2k/av9tf3G/d/9+v4R/iH+Kv4x/jz+Sv5Z/mf+dv6H/pr+rP65/sP+y/7S/tf+2f7a/t7+5f7s/u3+6v7l/uX+6v7x/vb++P76/wD/Cf8V/yH/Lf84/0T/UP9f/3D/g/+V/6b/tv/H/9r/8QAKACIAOQBSAG0AiwCrAMwA7QENAS0BTQFsAYwBrwHSAfMCEAIqAkQCYQJ9ApgCsgLPAvEDFgM6A1wDewObA7sD2AP3BBsERQRsBIYEkASSBJEEgQRQA/sDngNuA5wENwUiBioHFge9CBEIIggXCCEIXQjJCU4JygomClkKagphCkoKKQn9Cb8JagkECJsIOgfoB6oHggdtB2MHWAdCBycHEgcLBwoHAgbtBtMGwQa+BscGzgbKBr0GrQajBqEGpQapBqkGowadBpsGmwabBpgGkAaGBnkGaQZXBkYGOAYtBiUGHAYTBgIF4AWjBUwE7ASVBFQEKwQPA/YD2gO2A4QDQwL1AqMCUQIEAbwBeQE7AP4AvABzACX/3v+i/3P/Sf8d/vH+zP6z/qD+i/5w/lH+N/4m/hv+D/4B/fT97P3n/d790P2//bP9rP2m/Zr9if16/XH9bP1j/VX9Rf05/TX9NP0y/TD9NP09/Un9UP1U/Vb9W/1i/Wf9a/1x/Xv9i/2d/bD9xv3h/gL+Jv5I/mj+iP6s/tX/AP8q/1D/dP+a/8L/7AAWAEEAbgCbAMUA6wEKASYBQwFmAZEBxAH7AjACXQKDAqgC0wMGAzwDbQOWA7kD3gQFBC0EUgR0BJYEugTfBQQFKAVKBWoFiAWlBcEF3gX8BhgGMgZLBmQGegaPBqAGswbHBt8G9gcJBxwHMgdNB2sHhAeXB6cHuwfWB/IIBQgKCAMH+QfyB+0H6AfhB9sH2AfYB9gH2AfVB9IHywfBB7QHpwefB5kHlAeNB4UHfgd3B28HZwdhB1wHVwdQB0kHRQdDBz0HLgcdBxUHHwcwBzgHKgcOBvQG5wbnBu4G9Ab2BvQG6wbdBs4Gwga0Bp4GggZnBlYGTQZEBjoGNgY/BlUGagZzBnIGcQZ6Bo8GoQaqBq0GtAbCBtEG3gbnBu0G8wb6BwYHHAc7B10HeweVB68HzQfrCAQIGggvCEoIaQiHCKUIwwjiCP0JDQkTCRYJHQkmCSwJLQkxCUAJWQlyCYIJigmTCaIJswnACcYJzAnXCecJ9woDCgwKFwoiCiwKMgo2CjgKOgo6CjcKNwpCClUKawp5CoEKiwqcCrMKwwrFCrwKtwrKCvwLRwuaC98MAgv3C8YLiAteC1kLcQuKC4wLcwtQCzQLIgsXCw8LEAshCz8LYQt7C44LngupC6sLnwuKC3ULZQtdC1oLWAtZC1wLXwteC1kLVgtWC1kLXQtkC3QLjQurC8ALxwvDC78LxwvaC+8L/wwJDBAMEwwLC/ELxguTC2YLQQsiCwQK6ArXCtcK5gr7Cw4LHgstCz0LTwtiC3oLlQuxC8UL0AvUC9kL4gvuC/oMCwwmDEwMeAykDNQNDg1UDZsN1g3+DhkOLg49DkEONw4nDh4OHQ4fDh0OHQ4mDjcORA5HDkwOYw6ODrUOwQ6zDqYOqw67DrkOng59DnIOew54DlMOGQ3vDeUN4w3CDXgNJAzrDNUMxgyjDGwMMgwBC9MLogtwC0cLJgr/CscKgwpFChkJ/AnhCcYJswmsCasJpAmUCYMJdwlwCWgJYQlfCWYJbglxCW0JZgllCWgJbQltCWoJZQlaCUkJMgkZCQII6wjQCLMImAiBCG0IVgg7CBwH/wfjB8YHpgeEB2YHSgcvBxEG8QbRBrEGkwZ0BlcGOQYcBgIF6gXTBbkFmwV6BVwFRQUyBR8FCwT3BOUE1gTEBLAEnQSQBIoEggR0BGEEUARDBDYEJAQKA+oDxgOeA28DOQL/Ar0CcwIiAdQBlgFsAU8BMQEJANkAqAB8AFYAMgAP/+n/wf+Y/27/RP8W/ub+t/6P/m7+UP4q/fr9xP2P/V79Lvz+/ND8pvx//Fb8J/v1+8T7mftu+0D7D/rg+rX6i/pd+iz5/PnR+an5f/lR+SD48PjB+JL4Yfgu9/z3zPed92/3QvcW9un2u/aL9l32NPYP9ez1yPWj9X31V/U09RT09/TY9LT0ifRc9DL0D/Pw89LzsfON82vzSvMq8wry7PLQ8rbynPKF8nDyXfJH8i3yEfH88fHx7fHl8dDxsfGQ8XHxU/E18RvxFfEn8UXxVfFD8RTw3/C88LLwt/C78LTwpPCT8IjwiPCS8J/wpvCl8KLwp/C38M7w3/Dn8Onw7PDv8Orw2/DG8LnwufDF8NPw3PDg8OLw4fDe8Nnw2PDg8PPxDfEo8UPxW/Fy8Ybxl/Gm8bbxyvHk8f/yGvIx8kfyXfJy8obymfKv8svy7vMT8zLzSPNW82PzePOY877z5/QL9Cf0QPRY9HT0kfSs9MT02/T49Rn1OfVU9Wr1gfWd9bv12PXz9g72MvZi9p724Pcj92D3kfe199b4BvhW+Mr5U/nj+nD6+/uH/BH8kPz5/Un9gP2l/cT96f4e/mH+qf7r/yT/Xf+d/+QAKgBrAKYA3gEUAUIBZQGCAaMBzgH/Ai4CUwJuAokCqwLXAwcDNwNpA6kD/gRkBMsFHgVXBX8FpwXSBfYGBAX6BeMFwQWABQgEUgOEAtgCegJuApACuALWAu8DEAM7A2UDhAObA7QD2AQDBCUENwRCBF4EnATxBTkFUAUtBO8EvwS0BMcE3wToBOME3wTiBOwE+AUGBRoFOAVfBYgFrwXSBfUGHQZKBnsGqQbOBusHBQcjB0oHegexB+4ILQhnCJcIuQjTCOwJCAkmCUQJZgmLCa4JxwnRCdIJ2QnwChMKOgpeCoEKpQrHCt8K5wrkCt4K3ArhCuwK/wseC0YLcgufC9IMEgxeDK4M8Q0kDUoNaA19DX4NZg05DQMMyAyFDCwLtgsiCnsJ1AlICPII3Qj0CQYI4AhzB+QHdAdWB40H8QhRCJYIwwjnCQgJIQktCS8JLQklCREI6wi4CIAITQgfB/AHwAeRB2YHPwccBv0G4AbABpcGagZFBjUGNgYuBggFzgWlBawF1gXvBckFaQUDBM4E0ATkBN8EvQSWBH8EdgRmBEcEIgQFA+sDxgOOA1QDKwMcAxgDCQLnAr0CmAKAAm8CXwJKAjQCIAIQAgMB+QHqAdEBrQGGAWUBUwFJATwBIwD/ANUAsACSAHkAZABNADQAGgAA/+j/0P+3/53/h/92/2j/V/8+/yD/BP7w/uL+0/66/pv+e/5g/kr+Of4p/hz+D/4C/fP95P3V/cj9u/2t/Zv9iv16/Wr9Wv1I/TX9I/0T/Qf8/fzz/Of81vzB/K38nfyP/IH8cPxf/FP8S/xE/Dv8Mfwq/Cj8Kfwp/Cb8Ivwg/B78FvwK+/779/v0+/L77Pvm++P75Pvl++P72vvN+7/7sPug+5D7g/t5+3P7bftn+2H7W/tY+1f7Wvth+2f7a/tr+2n7Z/tm+2f7aftr+237b/tv+2z7Z/tj+2H7YPti+2f7bPty+3r7hPuN+4/7iPt8+3L7cft1+3f7c/ts+2r7bftx+3H7cPt1+377gftz+1n7Qvs6+z/7RPtA+zb7Lvss+yz7Kfsn+yv7OPtG+0v7Rvs9+zn7PftE+0v7T/tS+1b7W/tj+277e/uG+437kvuc+6z7wPvQ+9n73Pve++P76/v1/AD8CfwQ/BT8FvwY/B38I/wo/Cr8Kvwq/Cv8K/wr/Cv8Lvw0/D/8Tfxa/GT8bPx0/H78i/yX/KP8rvy5/MT8zvzU/Nr84fzv/QL9GP0t/T79TP1Y/WT9cf19/Yn9kv2a/aP9r/26/cT9zP3X/ev+Bv4h/jP+Ov4//kf+Vv5m/nX+g/6T/qb+uP7H/tH+2f7e/uD+3/7e/uH+6f7w/vL+7/7s/vD+9/7+/wH/Af8D/wj/Ef8a/yP/LP82/0H/Tf9d/3P/jP+k/7f/xf/U/+gAAQAcADQASQBfAHYAkACtAMwA7QEOAS0BSwFpAYgBqQHLAekCBgIjAkICYQJ8ApUCrgLMAu8DEgMyA04DawOJA6gDxwPpBBEEPARgBHMEeAR5BHcEYwQsA9YDhgN2A80EigWHBooHXQffCBAIDAgCCB8IcgjsCW0J2AofCkMKRQosCgEJzAmSCVIJCAizCFwICgfAB4AHUAczBykHIwcXBwIG7QbkBuUG4wbVBr8GrgasBrMGtwatBpgGggZ2BnYGfwaJBpAGkwaUBpcGmwafBp8GmgaNBnoGYQZGBioGEQX9Be8F5QXfBdUFvAWJBToE3ASABDgECAPrA9YDwAOdA2gDHQLAAl4CBAG8AYIBTwEWANMAiQA+//n/vv+M/1//Nf8N/un+y/61/qP+j/51/lr+Q/4z/if+G/4L/f398/3t/eX92P3K/b79tv2u/aH9kP1//XT9bP1j/VT9Rf05/TT9M/0y/TP9OP1B/Un9T/1R/Vb9Xf1l/W39cv15/YL9kP2f/bH9yf3l/gb+Jv5F/mT+h/6v/tz/Cf8z/1v/gf+m/8n/6wANADUAZACYAMwA+gEeAT0BWgF9AacB2QINAj4CZwKLAq8C1wMEAzIDXAOAA6QDzAP4BCUETwR1BJkEvgTkBQgFKwVLBWoFigWrBc0F7QYLBiYGPwZVBmkGewaKBpoGrwbJBuUG/gcUBykHQgdgB38HlweoB7YHyQfkCAEIFAgbCBcIEAgLCAYIAAf5B/UH9Qf4B/kH+Qf2B/EH6AfaB8sHxQfLB9YH2gfOB7YHnQeNB4cHhweGB4EHeQdyB24HbQdqB2EHUwdGB0EHRgdMB0oHOwckBxAHBgcHBw4HGAcbBxIG/wboBtkGzwbABqIGewZgBlwGZQZnBlYGPAYvBjkGTwZfBmUGagZ5BokGnAaiBqMGqQa5BswG2QbgBuUG6gb0BwMHGgc4B1sHeweYB7MH0AfvCAsIIgg3CE8IawiJCKYIwQjbCPEI/wkHCQ4JFwkfCSIJIAkhCS4JRQlgCXQJgAmKCZcJpgmyCbwJxQnRCeEJ9AoICh4KMAo7Cj4KOwo6Cj8KRgpHCkAKOgpBClcKcgqECokKiwqUCqYKtQq1CqYKmgqnCtELDwtJC24LcgtYCy8LEAsRCzsLeQupC64LhQtGCxIK+Qr5CwsLKQtOC3gLnQu3C8YLzwvTC9ELxwu2C6MLlAuJC4ILgAuFC40LkwuSC4oLfwt1C3ALcAt5C44LrQvLC9sL2gvPC8gLzgvgC/QMBQwSDBsMHgwUC/oL0QulC38LYQtFCykLEQsECwgLGAssCz0LTQtdC3ILiQuiC70L2gv3DAsMFwwdDCQMMAw+DE0MXgx3DJgMwAzqDRkNUA2TDdcODw41DkwOXQ5pDmwOZg5cDlcOWA5cDl8OZQ5zDogOmA6iDrAO0A77DxsPHg8KDvoO/w8MDwkO7Q7LDrsOtQ6gDmoOKA4BDf8OBg3qDZ4NQw0DDOcM1wy1DH0MQQwOC+MLuQuOC2YLPgsOCs0KhQpJCiMKDQn6CeYJ1QnMCccJvQmsCZkJjAmECX0Jdgl0CXgJfgmACXwJdglzCXUJeAl5CXYJbwljCVEJOwknCRUJAgjqCM0IswieCI4IfAhkCEgILggTB/cH2Ae3B5cHeQdaBzoHGQb5BtsGvQaeBn0GXgZBBigGEQX5Bd8FwQWjBYcFcAVcBUgFMgUdBQoE+ATlBNQExwTABLkErQSbBIkEfgR6BHMEYwRIBCgEBQPeA6sDawMgAtACfgIxAfIBxQGpAY4BawE7AQkA3QC5AJgAcwBLACL/+f/Q/6X/eP9L/x/++P7U/rH+jf5j/jP+AP3N/Zr9af05/Qz84/y7/JD8X/wu/AD71fup+3j7RvsY+vL6zfqi+nD6PPoM+eL5ufmO+WH5MvkC+NH4nfhq+Dn4CffZ96j3ePdK9x328PbB9pH2ZPY89hj19vXT9a/1i/Vm9UL1H/T99Nr0tPSM9Gb0Q/Qj9APz4vPA85/zffNa8zfzFfL38tzyxPKu8pryivJ98nHyZPJX8kryOPIg8gHx4PHG8bHxnvGI8XHxZfFm8W3xZvFK8SDw+vDp8Ozw9/D88PXw5PDR8MPwvvDE8M7w1fDV8NDw0PDY8Ofw9vEA8QfxDPEM8QLw7vDY8MrwyvDX8Obw8vD48Pvw/fEA8QjxGPEv8UjxX/Fx8YDxkPGj8bTxw/HP8d3x8fIL8ifyQPJV8mjyfPKS8qfyu/LP8unzCfMr80jzXPNr83rzk/O289/0BvQk9Dn0TPRj9IL0o/TC9Nz08/UN9Sr1SPVj9Xv1lPWy9dT19/YZ9jr2XvaH9rT25vce91f3i/e199f3/vg2+IP44flK+bv6Nvq8+0f7zfxD/KX88v0r/Vn9h/3A/gb+Uv6Z/tj/Fv9b/6j/+gBHAI4AzwEIATgBXAF7AZsBxQH1AiUCTgJsAoMCnAK/Au8DKgNvA78EGgR9BNcFGAU3BUEFSAVZBW8FgAWCBXcFWgUZBJ4D6gMiAoACLgIrAlECeAKPAqMCwwLxAyADQgNYA24DkAO8A+ID+QQFBBsESgSMBMYE2QTABJEEbgRrBIAEmQSkBKIEngShBKwEuQTGBNYE7wUQBTYFWgV5BZcFvAXrBiEGUgZ3BpUGtQbgBxYHTweFB7gH6ggbCEYIZgiACJoIuQjfCQkJNglmCZQJtgnHCcoJzAnZCfEKCwohCjQKSwpoCoYKnwqwCrgKugq4CrcKwgrdCwMLLQtVC4ALugwEDFYMnwzVDPoNEw0gDRwNBAzbDKoMcgwpC8ALLQp0CaoI7whlCCUILwhfCH8IZQgPB6wHeQeUB/AIXAiuCNwI9AkGCRYJGwkUCQkJAgj7COcIvgiFCEkIFAfmB7cHhwdaBzMHDQbkBrwGmQZ6BlkGMQYLBfUF8gXtBdAFnQV0BXcFowXJBbcFZQT/BLcEngSbBI8EdgRiBF8EYwRXBDUECQPlA8cDoANqAzADCAL6AvgC6wLKAp4CeAJiAlYCSwI7AiYCEAH+AfEB6gHhAdEBtgGSAW8BVAFCATMBIAEFAOIAuwCWAHkAYQBNADYAHQAD/+v/0/+5/53/g/9u/1//Tf8z/xT+9/7k/tf+yv62/pv+fv5i/kj+L/4Y/gT98/3k/dX9xv25/a79o/2Y/Yv9f/11/Wr9Wv1F/S/9Gv0H/Pn87vzl/Nr8yfy0/J78jfx//HH8YPxP/EP8PPw3/C/8I/wa/BX8FPwU/BL8EPwO/Az8Bfv6++/75/vk++D72fvR+8z7zfvQ+9D7y/vB+7X7qfuc+4/7gvt4+3D7avtk+1/7WPtR+037TvtV+1/7aPtr+2v7avtp+2j7Z/tm+2X7Zftj+2H7XvtZ+1b7VvtZ+1/7Z/tu+3T7e/uC+4f7hft9+3D7Zfte+177ZPtt+3b7dvto+1P7RPtE+0/7VvtO+zn7J/sl+zH7PvtB+zn7L/sl+x37FfsS+xn7Kvs5+z/7Ovsy+y77MPs2+z37RftM+1L7V/td+2f7dPuA+4b7ivuR+6D7s/vE+8770vvV+9v75vvz/AD8C/wT/Bj8Gvwd/CH8Jfwp/Cr8Kfwo/Cf8J/wm/Cb8KPwv/Dr8RvxS/F38aPxx/Hr8g/yL/JP8m/yk/Kz8tPy9/Mb80/zl/Pn9Dv0i/TL9Pv1I/VP9Yf1x/YH9jP2W/aP9tf3J/dn94v3q/fn+Ef4s/j7+Rv5J/lD+XP5q/nf+gv6O/p3+rv6+/sz+2P7g/uP+4f7f/uL+6v7x/vP+8v7y/vj/Af8H/wn/C/8P/xb/Hv8k/yr/Mf86/0T/Tf9b/3D/jP+l/7j/xv/V/+oABAAfADYASwBhAHoAlACwAM4A7QEMASoBRwFkAYQBpQHFAeEB/AIaAjsCWwJ1AowCpQLFAukDCQMjAzsDVwN3A5gDuQPbBAMEKwRJBFYEWgRcBFwERQQJA7QDcwOBA/wE2QXoBusHrAgRCCIIBwf6CCQIiwkQCYsJ4goSCiAKEQnmCakJZwkrCPQIuQh0CCcH2weUB1MHHgb8Bu8G7AbjBs8GuQauBrEGtQawBqEGlQaVBpsGnAaPBngGYgZWBlUGWgZiBmsGdAZ8BoMGiwaSBpgGlwaNBnsGYwZJBi8GFQX6BeEFygW1BZ4FfwVRBRIExgR4BDQD/wPWA7QDkANkAyYC0QJqAf8BogFiATkBFwDoAKYAXAAW/9v/qv97/03/JP8B/ub+zv64/qL+jf54/mP+UP5A/jL+I/4S/gH99P3s/eX92/3P/cP9uv2w/aP9kv2C/XX9av1f/VH9Q/04/TP9Mv0z/Tb9PP1D/Un9Tf1R/Vb9Xv1m/W79eP2D/ZD9nP2o/bj90P3t/gv+Jv5A/lz+gv6u/t7/C/81/13/hf+r/87/7gAPADMAXwCRAMUA9QEgAUgBbwGbAcoB/AIqAlMCdgKWArkC3wMIAzEDWAN9A6QD0AP+BCwEVQR7BJ4EwgTlBQYFJQVDBWMFhQWqBc8F8QYOBigGPwZUBmgGegaLBp8GugbaBvoHFwcuB0QHXAd3B5IHpwe2B8UH2Qf0CA8IIwgrCCwIKQglCB8IGAgSCBEIFAgYCBoIGggYCBMIBwf1B+kH7wgKCCoINgggB+8HvQeeB5kHoQenB6YHoAebB5kHmAeTB4sHhQeDB4UHhQd9B2sHVgdGBz0HOQc3BzUHMwctBx4HCQb4BvUG9gbrBssGowaOBpoGtga+Bp8GaQY+BjMGQQZSBlwGYwZzBngGjAaXBp0GqAa6BssG1QbYBtwG5gb2BwgHHgc7B18HhAekB74H1wfyCA4IKAg+CFMIagiBCJkIrwjECNgI6Qj3CQEJCQkOCQ8JDgkQCRsJLwlHCV8JcQl/CY0JmwmpCbYJwgnQCeIJ+QoVCjAKRgpOCkkKPQo1CjYKPgpECkUKRgpPCmQKfAqNCpMKlQqcCqkKswqvCqAKlQqcCrgK2QrwCvQK6grbCtYK5gsSC1QLlwu9C7ILegszCv4K7Ar8Cx8LSgt4C6ILxQvaC+ML5gvoC+gL5gveC9ILxAu4C7ELsQu6C8ULzAvJC7wLrAubC48LiguRC6ULwgvdC+sL6wvjC94L4gvuC/4MDwwiDDIMOAwvDBML7QvGC6MLhQtoC0wLNgsuCzULRwtcC28LgguWC6wLxAveC/sMGww6DFMMYgxrDHQMgQySDKQMtgzMDOoNDQ01DWMNmQ3UDg8OPg5fDnQOhA6PDpYOlw6WDpcOmg6eDqMOrg7DDtsO8A7/DxMPMg9VD2cPXw9HDzkPQQ9OD0kPLg8QDwAO9g7SDocOMA34DfAN/A3tDbANXg0cDPkM4wzADI0MVwwqDAUL3guxC4ALTwsXCtcKlwpkCkIKLQoaCgYJ9QnpCd8J0Qm+CasJnwmYCZIJiwmHCYgJiwmMCYkJgwmACX8JgAmACX0JdwlrCVoJRwk4CSsJHAkGCOsI0gjACLIIogiMCHMIWghBCCYICQfpB8oHqgeIB2QHQQchBwUG5wbHBqUGhAZoBk8GNwYeBgIF5QXJBa8FlwWABWkFUwU/BS0FGwUKBPwE9ATtBOQE0wTBBLYEtwS+BLwEqwSOBGsERgQZA9wDjwM4AuMClAJTAiICAQHoAckBngFrAToBFgD7AN0AtwCLAF4ANAAK/9z/rv+D/17/PP8Z/vL+x/6a/mz+PP4J/dX9ov1z/Uj9H/z0/MX8lfxn/D38E/vl+7H7fPtO+yr7Cfri+rL6ffpJ+hr58fnI+Z75cflA+Qz41/ik+HX4SPgZ9+f3tfeF91n3Lfb/9s/2oPZ29lD2LPYK9en1xvWh9Xn1UfUq9Qb04vS+9Jr0d/RU9DH0D/Pt887zr/OP823zS/Mu8xbzAPLo8s/yt/Km8pvyk/KI8njyYvJG8inyEPH/8fTx6vHe8dHxxPG48afxi/Fo8UnxOfE88UfxTfFJ8TvxK/Eb8Q/xB/ED8QXxCfEJ8QfxA/EC8QfxEfEd8SrxNfE58TLxIvEQ8QbxCfEX8SjxN/E+8UDxP/FD8VDxafGI8aTxtfG78b/xxvHV8efx9vIC8g3yHvI18k7yZPJ38obymPKu8sXy3fLy8wnzIPM681LzZvN384rzpfPI8/D0FPQw9EP0VPRq9Ij0qvTK9OX0/vUX9TP1UPVr9YT1n/W+9eH2BfYq9k/2dfab9sL26/cZ9033gfew99v4CPg/+IH4yPkR+V/5t/ob+on6+Ptk+8n8J/x7/Mb9Dv1a/az9//5M/o/+z/8V/2f/wAAaAHAAvAD8AS0BUAFtAYwBtQHnAhsCRwJlAncChwKkAtcDIAN2A9AEJARvBKcExQTJBL4EtwTABNUE6ATxBO4E2wSlBDkDlQLYAjsB5wHiAggCMgJOAmQCgwKwAt0C/QMQAyMDQwNvA5oDtwPGA9UD7wQXBDsESwRBBCsEHwQoBEAEVwRgBFwEVgRXBGMEdwSLBJ4EsgTKBOUFAAUcBTsFYgWUBckF9QYTBiwGUQaMBtgHJgdmB5YHvAfgB/8IFwgqCD8IXgiICLsI8gksCWIJjwmtCcAJzwngCfIJ/woBCgAKAwoSCisKSgpmCnwKiAqKCooKkQqlCsQK5gsGCysLYAuqC/wMRgx6DJoMrQy3DLUMogx+DE0MEgvFC1kKwwoGCTYIdgftB7QHwgf0CBUIBgfOB5oHmQfaCEMIpwjoCQQJDgkVCRYJDQj5COYI2wjSCLsIjwhTCBUH3wetB3wHSwciBv4G2gatBn0GVAY3Bh0F+wXUBbcFqwWkBYoFWAUpBSQFUQWLBZ8FcwUaBL8EfARQBDEEHQQeBDEEQgQ5BBED3wO4A5wDfANNAxgC7gLcAtgCzQKwAoYCYAJHAjsCMwInAhUCAQHvAeQB3QHXAcwBuAGcAX0BXgFEAS0BGQECAOUAwQCdAH0AZABOADcAHQAD/+v/0v+3/5j/e/9m/1b/Rf8r/wz+7/7a/sz+v/6t/pj+gf5p/k7+L/4Q/fX94P3N/bz9q/2d/ZP9iv2A/Xb9bv1n/V79Uf0//Sv9Fv0B/O783fzP/ML8sfyd/In8efxu/GH8UfxA/DL8Kvwl/B38EvwG+//7/fv9+/z7+/v5+/f78fvo+9/72fvW+9L7y/vD+737u/u8+7z7ufuy+6n7oPuW+4z7gft4+2/7avtn+2T7X/tX+1D7TftR+1n7Yftm+2j7aftp+2j7Zftg+1z7WftZ+1n7V/tT+077TPtP+1b7X/tl+2n7a/tt+2/7cPtr+2P7WvtV+1n7ZPtz+337ePti+0T7Lfso+zH7OPsz+yP7FvsX+yP7Mfs4+zX7LPsf+xH7BvsE+w77Hvsr+y77Kvsm+yb7Kfss+zD7NvtB+0v7UvtZ+2L7cPt/+4r7j/uU+5z7qfu1+777xPvL+9T74fvv+/38CfwU/Bv8H/wh/CP8Jvwo/Cr8Kvwo/Cb8JPwi/CL8J/wu/Df8P/xI/FH8W/xm/HH8evyC/Ir8kvyb/KP8q/y1/ML80Pzf/O/8/v0M/Rj9If0o/TH9Pv1Q/WL9cP1+/Y/9p/3C/dj95f3t/fn+Dv4n/jv+R/5N/lX+Yf5v/nr+gv6L/pf+pv62/sb+1f7f/uT+5P7l/un+8f73/vr++v79/wP/C/8R/xP/Gf8i/yz/M/81/zj/P/9J/1H/Vv9e/23/hP+c/6//vf/O/+T//QAVACsAQQBbAHgAlQCxAM0A6gEIASQBPwFbAXsBnQG8AdcB8gIQAjECTwJmAnsClQK1AtgC9AMLAyMDQgNnA4sDrAPNA/IEFwQyBD4EQwRJBEkELQPrA5YDYwOLBCcFIQY/B0AH7wg3CCoH/QfvCCkIogkuCaAJ4gn8CfoJ4AmvCW0JKgjyCL8IhAg7B+kHnQdbByQG9wbYBsgGvwayBpoGgwZ5Bn8GiAaIBn8GeAZ7BoQGhgZ7BmcGUwZFBj0GOQY6BkEGSwZVBl0GZgZxBnwGgQZ7Bm0GXQZPBj4GKAYJBeUFvgWWBWwFPgUNBNoEpgRyBDsEAgPEA4QDRAMDArsCZgIBAZgBQQEJAO4A2QC0AHsAN//5/8b/mf9q/zz/Fv76/uX+0P64/p/+i/57/m3+XP5K/jn+Kf4Y/gj9+f3u/eX92/3N/cD9s/2o/Z39j/2B/XT9aP1c/VD9RP07/TX9NP02/Tr9Qf1H/U39Uv1X/V39Yf1m/W/9ff2P/aD9rP22/cT93P36/hf+LP4+/lT+dv6i/tH+//8q/1X/gP+q/8//8wAWADoAYgCNALsA6gEZAUcBdwGqAd8CEwJAAmMCgAKdAr8C5wMSAz0DaAOTA74D6wQWBD8EZQSJBKsEywTpBQUFIgU/BWAFhAWqBc4F7wYKBiEGOAZQBmoGgwadBrkG2Ab6BxwHOAdPB2MHdweNB6EHtAfFB9gH8AgLCCQINwhCCEcISAhFCD4INggxCDAIMwg1CDcINwg4CDQIJwgTCAoIGAhACGoIeQhcCB4H3we8B7kHxwfSB9MHzQfIB8cHxAe8B7MHsQe4B8IHwgezB5kHgwd7B3wHfAd0B2MHUAc6ByMHDQcCBwUHDAcDBuMGvwa0Bs4G9Qb9BtEGiAZJBjIGPAZMBlQGWAZjBm0GggaSBp0Gqwa7BskGzgbQBtgG6wcCBxcHKwdGB2kHjwewB8gH2wfxCAwIKAg/CFMIZQh2CIcIlgioCL4I1QjoCPUI+Qj5CPoI/QkECQ8JHwkzCUkJXglxCYMJlQmmCbcJxgnXCeoKAQobCjMKRgpQClEKSwpCCjsKOQo7CkIKTwpfCnIKhAqQCpoKowqtCrYKuAquCp4KlAqXCqMKsAq2CrYKvArNCuwLFwtJC3sLnwunC40LWAsgCv8K/QsWCzwLZguRC7kL2gvvC/kL/Av/DAMMBgwEC/sL8AvlC+EL4wvrC/IL9QvyC+kL3gvRC8YLvQu9C8gL2gvsC/gL+wv6C/kL+gwBDA4MJQxBDFoMYgxVDDYMEQvsC8sLqguKC24LXAtZC2ILdQuLC6MLuwvTC+gL/QwVDDMMVQx5DJcMrQy8DMoM2QzrDP8NEw0pDUMNYg2IDbUN5g4aDkoOcg6PDqQOsw6+DsUOyg7PDtMO2A7eDusPAg8iDz8PUg9dD2sPgg+aD6IPlA9+D3cPgQ+KD34PXw9EDzwPNg8QDrkOTg4ADegN7w3pDbwNdQ00DQoM7AzKDJ0McAxJDCYL/gvNC5YLYAspCvIKvAqPCm0KUwo8CiYKFQoHCfgJ5gnRCb8JtAmtCacJnwmZCZYJlwmXCZQJjgmKCYcJhwmICYcJggl3CWgJWAlNCUMJNwkjCQsI9QjlCNgIxwixCJgIgAhoCE8IMwgVB/gH2Qe2B5EHbQdOBzEHEwbyBs4GrQaRBncGXQZBBiUGCQXtBdIFtwWdBYUFcQVgBVAFQAUxBScFIAUYBQoE9wTpBOkE9wUGBQYE8QTPBKkEgARKBAADqANNAv0CvQKJAmECQQIiAf0BzgGbAXEBUwE7AR0A9QDHAJkAbgBDABT/5/+//57/gP9b/y//AP7S/qX+df5D/g793f2v/YX9Wv0s/Pv8zPyh/Hr8Uvwk+/D7vPuN+2j7Rfsf+vD6uvqE+lP6J/oA+dn5rvl9+Uj5Evjf+LH4hfhX+Cb39ffG95r3b/dD9xX26fa+9pX2bfZH9iP2APXc9bT1jPVk9T71GfT19ND0rPSI9GT0P/Qb8/vz3fPA86DzgfNm81HzPPMj8wTy5PLK8rryr/Kl8pbyg/Ju8lzyTvJE8jvyM/It8ifyH/IP8fXx1PG08aLxofGp8a3xpPGR8X7xc/Fu8WrxYvFX8U7xS/FL8UvxRvE/8TvxPvFK8VzxbPF08XDxY/FV8U3xUfFf8XLxhPGP8ZDxi/GK8ZXxr/HO8ejx9PH18fTx+fIH8hnyKfI08j3ySPJZ8m/yhPKV8qLyrvK/8tfy8/MP8ybzOPNK813zcfOI85/zuvPa8/z0HvQ79FL0ZvR89Jf0tPTR9O31CPUk9UL1XvV59ZP1rvXM9ez2DfYu9lP2evai9sr28/cg91L3hPey9974D/hJ+Ir4yfkD+Tn5c/m2+gD6TPqb+vP7Vfu9/CT8h/zn/Uf9pP36/kf+j/7Y/yf/fv/aADcAjgDWAQoBKwFEAWEBiQG7Ae4CFwIxAkACUAJxAq4DAwNiA7cD9gQbBCgEIgQSBAMEAQQQBCcEOwRFBEgEPgQZA8IDMgKFAe4BmwGTAbsB7QISAi4CTwJ3Ap8CuwLMAt0C+gMjA0wDbAN+A4wDngO2A84D3QPgA94D4gPxBAYEGAQdBBUECwQIBBUEMAROBGgEegSHBJUEqgTGBOoFFwVIBXYFlgWpBbsF4gYpBokG6gc5B28HkgesB8AHzQfWB+IH+wgmCF8IoAjjCSMJWgmGCaoJyQnkCfgJ/wn4CeoJ3gnbCeIJ8goHCh8KNQpEClAKXApuCoQKnQq3CtoLDwtXC6YL6gwbDDgMSwxXDFoMSgwjC+kLogtRCu8KcAnQCRoIbAfrB68HsgfSB+gH3Qe/B7IH0QgfCH8Izgj8CQ0JEwkVCREJAAjmCMwIugiqCJAIZAgqB+wHsQd2Bz0HCAbfBr4GnAZvBj0GEwX3BeIFxQWgBYIFcwVqBU8FGgTgBMwE8AU3BWwFaQUuBNUEgAQ6BAgD7APrA/wECQP+A9YDpAN+A2gDUwMxAwQC3ALFArwCsgKbAncCUQI1AiQCFwIKAfkB6AHcAdYB0wHOAcIBsgGdAYYBbAFPATEBFgD9AOIAwgChAIEAZgBNADMAGP/+/+b/z/+0/5X/eP9g/0//PP8j/wX+6v7W/sf+t/6k/o/+e/5n/k3+Lf4L/e391P2+/aj9k/2D/Xf9bv1m/V79V/1R/Ur9Qf00/SX9E/z9/OT8zPy3/KT8k/yA/G/8Y/xb/FL8RPwz/CT8GvwS/An7/fvw++n75/vo++j75/vk++L73/vZ+9P7zfvJ+8T7v/u4+7P7sfuw+677q/ul+537lfuN+4X7fft2+3D7bfts+2v7aPti+1r7VPtT+1f7W/te+2D7Y/tn+2n7Z/ti+1v7V/tX+1j7V/tS+0z7SPtH+0z7UvtW+1j7V/tW+1X7UvtO+0v7S/tP+1j7Y/tu+3X7cfti+037Pvs5+z37P/s3+yj7GvsU+xn7Ifso+yn7Jfsa+wv6//r8+wX7E/sc+x77Hfsg+yX7Kvss+yz7Mfs8+0f7TvtS+1n7Zvt3+4X7jvuT+5n7o/ut+7f7v/vJ+9T74fvu+/r8B/wU/B38Ivwi/CL8I/wm/Cn8K/wq/Cf8JPwi/CP8KPwv/DX8Ovw//ET8TfxY/GP8bvx5/IP8jfyW/J/8qPyz/MD8zfza/OT87vz4/QL9C/0T/Rr9JP0z/UP9U/1j/Xf9kf2v/cn92f3k/e/+Af4Y/i7+P/5M/lj+aP53/oP+jf6X/qL+sP6//s3+2/7l/ur+7f7w/vf+//8F/wb/B/8K/xH/GP8c/yD/KP81/0H/Rv9H/0j/T/9a/2L/Zf9p/3L/g/+X/6n/uf/M/+L/+QAOACIAOgBXAHgAlgCwAMoA5gEEASABOQFTAXABkQGwAc0B6QIJAioCRwJdAnECigKpAscC4AL2AxEDNQNeA4MDogPAA+QECAQjBDEEOgRDBEIEIAPXA4EDWgOZBE8FXAZ/B3QICgg0CBAH2wfXCCQIrAk6CZ8J0AncCdUJvQmQCVIJEwjbCKUIXwgJB68HZAcvBwsG7AbRBrsGpwaNBnAGWAZQBlgGYgZiBlgGUwZZBmcGcAZrBlwGSwY6BisGHgYYBhoGHwYjBiYGLgY9Bk0GVgZTBkoGRQZEBj4GKwYJBd4FrwV9BUQFCATOBKEEgQRkBDwD/QOnA0UC5QKPAkIB9AGfAUcA/QDPALkAqQCKAFYAGf/i/7P/iP9b/y//Df73/uX+z/61/pz+jP6C/nf+Zv5S/j/+L/4h/hP+BP32/ev93v3P/b39rf2g/ZX9iv19/XD9ZP1a/VH9Sf1A/Tr9N/04/T79Rv1N/VP9Wv1g/WX9aP1q/XH9gP2V/aj9tf2//c795/4H/iP+Nv5C/lL+bP6P/rn+5/8X/0n/ev+m/87/8gAXAD0AZACNALkA6AEYAUcBdwGrAeQCHAJMAnACjAKoAssC9QMjA1EDfgOrA9cEAAQnBEwEcASUBLYE1gTyBQ4FKgVJBWoFjgWyBdQF8gYMBiMGPAZaBnwGngbABuAHAAcfBzwHVQdqB30HjgegB7IHxAfYB+8ICggkCDwITwhcCGQIZwhlCF4IVwhSCFIIUwhTCFMIVAhWCFMIRwg0CCkINAhWCHkIhAhoCDMIAAfnB+oH+ggDCAIH+gf0B/MH7wflB9gH0gfWB98H4QfVB8AHrweqB6wHqweeB4cHbAdRBzUHGgcIBwEG/AbsBsoGqAaiBr0G4AbkBrgGcgY8Bi0GPQZQBlUGUwZaBnIGhgaUBp0GqAa2BsIGyQbRBuEG/AcYBy0HPQdTB3IHlge0B8gH1wfqCAMIHwg2CEkIWAhoCHUIggiRCKcIwwjcCOkI6wjoCOkI8Qj/CQ0JGwkqCT0JUgloCX8JlgmsCcAJ0QngCfAKAAoOChoKKAo9ClcKbgp3CmwKVgpGCkYKVwptCn0KhwqPCpwKrAq6Cr4KtAqiCpIKiwqNCpUKogqyCsoK7AsWCz4LXwt1C4ALgQt0C1kLOAsdCxQLIAs4C1gLegugC8gL6wwFDBUMHAwhDCUMJgwkDB0MFwwTDBEMEQwPDAwMCQwJDA0MEQwRDAoMAAv4C/YL+wwCDAoMEAwUDBUMFAwXDCcMRQxqDIYMiQx0DFEMLQwNC+4LzQutC5ULiQuKC5MLowu4C9ML7gwHDBwMMAxJDGcMjAyxDNQM8g0LDR8NMg1GDVsNcg2IDaENvg3iDgwOOQ5kDosOrQ7JDt8O7Q70DvgO/A8CDwkPEQ8gDzsPZQ+SD7EPuQ+0D7MPwA/RD9YPyw+8D7gPvw+8D6IPeg9gD18PYw9CDuwOew4hDfsN+Q3zDcsNig1JDRkM+AzXDLAMiAxiDD0MEgvhC6wLdwtECxIK4Qq2CpEKdApcCkgKOAooChUJ/wnpCdkJ0AnJCcAJtQmrCaYJpQmkCaEJmwmWCZMJkgmTCZMJjwmGCXkJbAliCVsJUAlACS0JGwkNCP4I6wjTCLoIowiNCHUIWgg9CCEIBQfkB8IHnwd/B2EHQQccBvgG1ga5Bp4GgwZmBkkGLgYSBfQF1wW7BaQFkgWDBXMFZAVYBVEFTAVBBS8FHAUUBR8FNgVHBUIFJwUBBNgEqwRtBBoDvANlAyIC8QLKAqMCfAJUAioB/QHRAa0BkQF3AVcBLAD9ANAApQB6AEwAIf/9/9//wP+Z/2r/Ov8L/t3+rf57/kn+G/3x/cb9mf1o/Tf9C/zi/Lr8kPxj/DP8A/vW+677h/te+y76+PrC+o/6Y/o9+hj57/m++Yj5Ufkd+O34v/iR+GH4MvgE99n3rfeC91f3LfcD9tj2rPaB9ln2NPYP9er1xPWe9Xn1UvUs9Qb04vTA9J30ePRR9C30DfPv89DzsvOW83/zafNP8zDzD/Ly8uDy1PLI8rnyqvKd8pXyj/KG8nzycfJr8mjyZPJX8kLyKPIT8gryCvII8fzx5PHJ8bbxsvG38bvxtfGn8ZnxkvGR8ZHxjfGD8XrxefGD8ZXxpfGr8aTxlvGG8X3xffGK8Z/xtvHF8cfxwPG88cXx3PH48g3yFvIW8hfyH/Iv8kLyUvJe8mbybvJ78o7ypPK38sLyx/LP8uLzAPMj80DzVPNj83TzivOk877z1vPv9Az0LPRL9Gb0ffST9Kr0w/Te9Pr1F/U19VP1b/WI9aL1v/Xd9fr2FvY09lf2f/ao9tP2//cx92X3lve+9+H4CPg5+HT4rvji+RL5RPl5+a754PoU+lX6rfsY+4r7+Pxe/MH9JP2H/ej+Qv6V/uH/Lv+A/9oANACCALsA3wD5ARcBPgFsAZYBtQHJAdkB8gIfAmYCvwMYA1sDfAN6A2QDSQM1AzIDPgNVA20DfwOMA5UDlwN8Ay8CrAIQAYwBSQFLAXkBrgHXAfcCGAI8Al8CeQKLAp8CuwLfAwIDHQMwA0EDVQNsA4MDlAOeA6QDrAO3A8YD1APZA9QDyQPEA84D6AQLBCoEPgRIBFIEZQSDBKsE1gUABSEFNwVFBVgFgwXOBjEGmAbuBywHVAdvB4AHiAeLB5AHowfICAIISQiVCN8JIAlXCYUJrQnPCeYJ8QnvCeQJ1QnECbUJqwmsCboJ0QnqCgEKFQooCjwKUwpvCpcK0AsUC1sLmAvGC+YL/gwPDBEL+gvIC4ALLgraCoQKIgmpCR0IlAgqB/IH5wfvB/EH5QfaB+cIFwhfCKgI3Qj5CQUJCwkNCQYI8QjQCK4IkAh4CFwINggFB8sHigdEBwAGxAaXBnUGUwYpBfoF0QW3BaIFiQVqBVEFRgU/BScE8QSwBIoEmATQBQkFIAUMBN4EqwR5BEYEFAPqA9EDwgOuA48DaQNIAzQDIwMMAuwCygKxAqMClwKEAmYCQwIjAgwB+QHmAdQBxgHAAcIBxgHDAbcBpQGUAYUBcgFYATkBGAD5AN0AwAChAIIAZQBJAC0AEf/5/+T/zv+1/5f/ev9h/0z/Nf8Z/v3+5v7X/sn+t/6f/ob+cf5c/kT+Jf4E/eX9y/2y/Zj9gP1r/Vz9Uf1J/UL9Pf04/TL9Kv0h/Rf9Cfz2/Nv8v/yk/I38efxl/Fb8TfxI/EP8OPwo/Bj8DPwC+/b76fvd+9f72PvZ+9j71fvS+9D70PvO+8r7w/u7+7X7sPut+6v7qvup+6X7ofua+5L7iPt/+3f7cftu+2r7aPtn+2f7Zvti+137WftZ+1v7XPtc+1v7Xftj+2r7bftp+2L7XPtZ+1j7VvtR+0r7RPtB+0H7QvtD+0X7RvtG+0P7Pfs4+zj7PvtI+1L7Wftc+177Xvtc+1j7VftT+1H7TftC+zP7I/sZ+xT7FPsX+xv7HPsW+wn6/fr5+v/7CfsQ+xT7F/se+yb7LPss+yz7Mvs8+0f7TftO+1L7XPtr+3j7gvuK+5T7ofut+7j7wvvM+9f74/vt+/j8BPwR/Bv8IPwg/B78Hvwi/Cf8Kvwq/Cf8Jfwk/Cb8K/ww/DT8OPw8/EH8R/xP/Fn8ZPxv/Hv8hfyP/Jf8oPyr/Lf8xPzP/Nn84/zu/Pr9Bf0P/Rf9H/0q/Tb9RP1U/Wj9gv2f/br9zv3b/ef99/4L/iH+Nf5G/lj+af56/or+l/6k/rH+v/7N/tr+5f7t/vL+9/7+/wf/Dv8S/xH/Ev8W/x3/I/8n/yr/Mv8+/0r/UP9S/1X/Xf9o/3D/df96/4P/kv+j/7L/wf/T/+n//wASACUAPgBdAH0AmQCwAMkA5QEDAR4BNgFMAWcBhwGnAcUB5AIEAiUCQQJYAm4CiQKmAsIC2ALvAw0DNQNfA4IDngO7A94EAgQeBC0EOQREBEEEGgPLA3gDXAOtBHMFhgagB34H9wgJB9sHrwfACCAIrwk0CYkJrQm1CbMJoQl3CTkI+Ai+CIMIOgfhB4sHSwcnBxEG+gbeBr8GngZ6BlUGOQYwBjYGPgY4BioGIQYpBjwGTQZSBksGPAYqBhgGBwX7BfUF7gXlBd8F5AX1BgoGFQYUBhEGFwYjBicGFwXzBcgFmwVrBS8E6QSmBHgEYQRRBC8D6QOBAwcCkQItAd8BmgFXARUA3QC4AKMAjwBsADkAAP/N/6L/ef9P/yj/Cf71/uL+y/6w/pr+j/6I/n7+bP5W/kP+Nf4p/hv+DP3+/fL95f3V/cL9r/2f/ZL9hv14/Wv9X/1Y/VL9S/1E/Tz9OP06/UH9Sv1S/Vj9Xv1k/Wn9a/1t/XL9f/2R/aP9sP28/c796f4K/if+O/5K/lj+bf6I/qv+1f8J/0L/d/+m/8z/8AAVADsAYwCMALsA7AEdAUsBdgGnAeECHgJUAn0CnAK6AuADCwM5A2QDjQO1A9wEAQQlBEkEbwSWBLwE3wT/BR8FPwVgBYEFoQXCBeIGAAYbBjUGUgZ0BpoGwAbjBwEHHgc4B1EHZwd8B48Hoge0B8UH1wfsCAUIIAg6CFEIZAhyCH0IgQiACHoIdQhyCHIIcghyCHAIcAhyCHEIaAhZCE4ITwheCG4IbwhcCD0IIwgYCB4IJwgrCCUIHQgYCBgIFwgPCAAH8AfnB+QH5AfgB9YHywfDB7wHsgekB5IHgQduB1QHNAcSBvgG4QbGBqIGgQZ0BoAGkwaRBnEGRQYrBjEGSQZcBl8GWwZhBnwGiwaSBpYGnwauBr4GzQbcBvMHEAcsBz8HTQdeB3gHlgevB8AHzgfhB/oIEQgjCDIIQghVCGYIdAiBCJYIsQjLCNoI3QjbCN8I7Aj9CQ4JHAksCT4JVAlrCYUJoQm8CdIJ4AnpCfAJ+Qn+CgIKDAopCl0KlQq2CrAKigpkClUKYgp6CokKjgqRCpwKrAq1Cq4KmgqFCnsKfgqLCp0KtwrcCwsLPAtkC3kLfAt0C2gLXQtRC0MLNwswCzQLQQtVC20LiwuwC9kMAAwgDDUMQgxIDEkMRwxCDD8MQAxCDEEMOAwqDB0MFwweDC4MPwxHDEQMOQwsDCQMIAwhDCYMLgw1DDUMMgw0DEUMZwyLDJ4Mlwx6DFkMPgwmDAwL7QvRC8ELvgvCC8kL0QviC/oMFQwtDEIMWgx4DJwMwQzmDQoNMA1TDXANhw2aDa8Nxw3gDfoOFw45DmEOiA6rDskO5g8CDxgPJg8qDysPMA83Dz8PSg9gD4sPxQ/7EBYQDw/4D+gP7Q/7EAIP/A/xD+0P6g/XD68PgA9nD2oPcQ9TDwEOlg4/DhcODg4CDdsNmw1cDSwNCwztDMkMoQx4DE8MJAv2C8ULkwtgCy0K/ArQCq0Kkwp/CnAKYQpOCjYKHAoHCfkJ8QnoCdsJzAnACboJuAm2CbMJrQmoCaQJogmhCaAJnAmVCYsJggl7CXQJawleCU8JQQkzCSMJDgj1CN4Iygi2CJ4IgghlCEkILggRB/IH0QexB5AHbAdFBx8G/gbhBsYGqQaMBm8GUwY2BhcF+AXeBcoFuwWrBZkFiAV/BX0FegVvBVkFRQVABVEFawV5BW4FTQUjBPgExwSEBC4D0QOEA08DLAMKAuECsQKBAlYCLwIMAewBzwGxAYwBYQEyAQUA2wCwAIUAXQA7ABz/+//S/6P/c/9F/xb+5f60/oX+W/4z/gb91f2l/Xj9Uf0p/P78zvye/G/8RPwb+/L7yfud+237OPsD+tD6o/p8+lf6Lvn++cn5kflc+Sr4+vjM+J34cPhD+Bb36fe995L3aPc+9xL25fa59o/2afZE9h/1+vXV9a/1ifVi9Tz1GfT49Nf0svSL9Gb0RPQm9Afz5/PJ863zk/N481rzPfMk8xPzBvL38uXy0/LH8sHyvfK28qzyofKb8pfyk/KK8nzybPJf8lbyTPI+8ifyC/Hz8eTx4fHk8ebx4fHW8cvxxPHC8cHxvPG08a3xr/G68cnx0/HS8cbxtPGj8Zjxl/Gi8bfxzvHe8eDx2vHX8eLx+fIS8iLyJ/Io8izyOfJM8l/ycPJ+8ojykfKd8q/yxvLb8ujy6/Ls8vfzE/M481rzcvOB85DzpfO+89fz6/P/9Bj0N/RZ9HX0i/Sf9LT0zvTq9Qj1JfVB9Vv1dPWN9aj1x/Xm9gT2IPY+9mH2ifay9tz3Cfc792/3n/fD9933+Pgb+Ej4efio+Nn5DvlG+Xn5ovnH+fj6Qfqg+wj7a/vF/Bz8e/zn/Vv9zf4x/oT+zP8V/2X/uQAHAEUAcQCWAL0A5wENASgBOAFGAVwBggG8AgYCVgKcAsYCzAKzAowCbQJkAnECiQKfAq0CtwLEAtYC4gLLAoACBQF+ARsA+QESAUgBegGeAbsB2gH+Ah8COAJNAmYChgKoAsQC2ALnAvcDCwMjAzsDTgNcA2MDaANuA3kDhwOUA5gDkwONA5IDpwPGA+YD/QQLBBoELwROBHIElQSzBMsE3gTxBQ8FPwWGBdwGNQaGBsgG+gceBzUHQQdFB0sHWgd6B68H9QhGCJkI4wkhCVMJfAmeCbkJzAnWCdcJzgm5CZ0JgQlvCW4JegmPCaUJuwnSCewKCgoxCmAKmArTCw4LRAt0C50LvAvLC8QLowtoCxwKxgpwChsJwwljCQAIpAhhCDwIKggdCAoH+wf/CCEIWQiXCMYI4gjvCPcI/Aj8CPAI1AirCH4IVQg0CBgH/AfXB6IHXwcSBsUGhAZTBi0GCQXfBbQFjgVyBV0FRwUwBSAFGwUXBQIE0gSTBGIEUwRkBIAElQSlBLkE0gTcBL8EdAQQA7UDewNfA1ADPwMoAxAC+gLmAs8CtgKeAowCewJmAkkCJwIGAe0B2gHHAbQBpAGfAaYBsAGyAacBlgGFAXoBbQFXATgBFADyANUAugCeAIAAYwBFACkAD//5/+b/0v+5/5z/f/9n/1D/Nf8W/vn+5P7X/sv+t/6b/n/+Zv5Q/jf+Gf36/dz9wv2o/Y39cv1Z/UX9N/0s/ST9H/0c/Rf9EP0I/QD89/zo/NL8t/yb/IH8afxV/EX8PPw4/DP8K/we/A/8Afv0++b72fvP+837z/vP+8v7xfu/+7/7wPvB+777tvut+6X7oPue+5/7n/ue+5r7lPuN+4T7eftv+2f7Yvte+1r7VftR+1D7UPtR+1L7VPtX+1v7Xfta+1b7Vvtb+2T7avto+2L7WvtU+1D7TPtG+0D7Ovs2+zP7MPsw+zL7N/s7+zv7N/sz+zX7PftH+037TPtH+0X7RvtL+0/7TvtL+0X7Pfsz+yn7H/sW+w77CfsJ+wz7D/sO+wf6//r6+v37A/sK+w77E/sZ+x/7Ivsj+yb7Lvs6+0X7S/tO+1P7XPtn+3D7d/uB+5D7oPuv+7n7wvvL+9b74Pvp+/L7/fwK/BX8Gvwa/Bj8Gfwd/CP8Jvwn/CX8I/wk/Cf8Kvwu/DL8OPw//EX8SvxP/FX8Xvxp/HT8f/yJ/JL8m/yk/K78ufzG/NL83vzq/Pb9BP0R/R39Jv0u/Tf9Qf1P/WD9d/2R/av9wv3T/eH98f4E/hn+Lf4//lD+Yf5y/oP+k/6i/rH+wP7P/tv+5f7t/vT++/8G/xD/GP8Z/xj/Gf8e/yf/Lv8x/zL/N/9A/0z/Vf9b/2L/a/91/3//h/+Q/53/rP+5/8T/0f/h//YACwAdADAARwBjAIAAmQCwAMgA5AECARsBMAFGAWEBgQGjAcIB4AH+AhwCNwJPAmkChwKmAsIC2QLyAxQDPgNoA4gDoQO9A+AEBAQfBC8EPARGBD8EEwPCA3QDZQPCBI4FmQadB18HvgfFB6AHjQe5CCoItwkuCXQJkAmaCZsJiQlYCRAIxQiFCEoICAe9B3kHSwczByEHBwbkBr8GmgZxBkYGIgYQBhAGEwYLBfkF7QXyBgYGHQYqBioGIAYQBf0F6gXYBccFswWdBY0FjgWgBbYFwgXDBcYF1wXvBf0F8wXTBa4FiwVjBSoE4QSZBGcETgQ9BBcDygNbAtwCYgH8AaoBZgEqAPYAzgCyAJwAfwBTAB3/5/+5/5L/bv9I/yX/CP7y/t7+xv6u/pv+kP6I/nv+aP5U/kT+OP4s/hz+DP3+/fP95/3X/cP9r/2e/Y79gP1x/WT9W/1V/VD9S/1D/Tv9OP06/UP9Tv1X/V39Yf1l/Wr9bf1u/XH9ef2F/ZT9o/2z/cj94/4C/iD+Of5P/mX+e/6S/q3+0/8F/z7/dv+m/83/8gAYAD4AZQCOALsA7QEdAUcBcAGgAdsCGwJUAoECpQLIAvIDHwNKA3ADkQOzA9YD+wQgBEYEbgSXBL8E5QULBTEFVwV6BZoFtwXUBfMGEgYvBksGagaOBrMG1wb2BxEHKgdDB1sHcweJB6AHtQfIB9kH6gf9CBUILwhJCGAIcwiCCI4IlgiXCJQIkAiOCI4IkAiQCI4IjQiNCI0IigiECH0Idwh0CHIIbQhjCFgITghICEYIRghECD8IOgg1CDQINAgxCCUIEgf8B+0H6AfpB+kH4wfVB8IHrwegB5gHkweKB3MHTgciBvwG3gbEBqYGhgZuBmMGXwZWBkUGNQY0BkUGWwZnBmYGZAZrBn4GiAaLBo4GmQauBsUG2gbtBwMHHgc3B0kHVwdnB30HlAemB7QHxAfaB/IIBAgQCBoIKghCCFkIaQh2CIcInwi3CMgIzwjTCNsI6wj8CQ0JHgk0CUsJYgl4CZEJsAnRCekJ8gnyCfUKAgoSCh0KJgo8CmoKpQrOCs4KqAp8CmcKcgqKCpsKnQqbCp0KogqfCo0KdgpqCnEKiAqmCscK7AsYC0cLbQt+C3sLbQtgC1sLXAtdC1oLUwtOC04LVgtmC30LnAvDC+4MGAw9DFkMawxyDHEMbAxnDGcMawxtDGcMVwxDDDUMNAxCDFYMZQxqDGQMWQxODEYMQgxDDEgMUgxYDFYMUAxQDF8MfAyWDJsMiQxtDFcMSww/DCoMDgv4C/EL9wv9C/8MAgwMDCAMNwxLDGAMfQyjDM0M9Q0ZDUANaw2YDbwN1A3mDfoOEw4uDkkOZg6HDqwOzw7qDwEPGQ8zD0oPWA9dD2APaA9xD3kPgg+YD8gQCRBAEFUQQhAgEAwQDxAdECMQGxAOEAMP9g/YD6oPfw9sD3EPcA9KDvcOkw5IDiUOHA4NDeQNqg1xDUYNKA0LDOcMvAyQDGQMOgwPC+ELrwt6C0ULFgrvCtIKvQqtCp4KjAp0ClkKPQooChsKEgoGCfYJ5QnYCdIJzgnMCccJwwm+CbkJtAmwCa4JrAmpCaMJnQmYCZMJigl+CXAJYwlWCUYJMQkaCQUI8gjeCMcIqgiMCHAIVQg6CB0H/wffB7wHlQdsB0YHJQcJBu0G0AayBpQGdwZYBjgGGgYDBfMF5gXVBcAFsAWpBasFqwWfBYcFcQVsBX0FlgWhBZMFbQU9BQ0E1gSQBDwD6gOrA4QDaQNJAxsC5QKyAokCZwJIAikCCgHnAcABlQFpAT0BEwDoAL8AmQB4AFcAMgAI/9r/rf+A/1H/H/7v/sT+nP5y/kH+Df3e/bf9lv1x/UL9DfzX/Kj8fvxW/C38BPvZ+6r7ePtC+w/64vq6+pP6aPo4+gP5z/mc+Wz5PfkO+N/4sviE+Ff4Kff899D3pfd59033IPb29s72qPaD9lz2NPYO9ej1wfWa9XT1T/Ur9Qj04/S+9J30f/Rj9Ef0KPQH8+fzyfOr847zc/Nd80vzPPMp8xPy/PLq8t/y2fLT8szyxfLA8rzytvKu8qPymPKL8nvyZ/JQ8jryJvIX8gzyAvH68fPx7fHo8ePx3vHa8dXxz/HL8czx1fHj8fHx9vHv8eDxz/HB8bjxt/HA8dDx4/Hv8e/x6/Ht8fzyFfIs8jfyOfI78kPyVPJn8nnyiPKX8qXysvK/8tDy5vL98w3zE/MU8xvzMfNS83PzifOX86TztvPM8+Hz8/QF9B70QPRi9H70kvSj9Ln01fT19RL1K/VB9Vf1bvWH9aX1xfXn9gj2J/ZI9m72lfa89uH3Bvcw92D3jfey98335vgD+Cf4Tvh3+KX42/kW+Uz5efmf+cv6CfpW+qj69Ps3+3v7zPwz/Kv9Kf2f/gP+V/6i/uz/N/9//77/9gArAF8AjQCrALkAvgDLAOsBHwFfAaEB3gINAiICGwH7AdcBwwHIAeAB+AH+AfEB4wHkAfcCCAH5AbYBTgDpALEAtgDnASEBTAFoAYEBoAHEAeMB+wISAi4CUgJ1Ao4CnAKkAq4CvQLQAuYC+wMLAxUDGQMdAygDOQNMA1kDXANbA18DbQOFA6ADuAPLA98D9wQTBDEETQRlBHoEkQStBNQFBwVEBYYFygYQBlQGkAa/Bt4G7wb4BwMHFQc0B2UHqQf8CFMIowjkCRYJPAleCXsJlQmpCbIJrwmeCYMJZglOCUEJPQlBCUsJXQl5CaAJzQn+Ci0KWQqCCqsK2QsNC0ALZgtzC2MLPAsCCrwKaQoNCawJTAj3CLMIhwhwCGQIUgg0CBMIBAgYCEwIjAi/CNoI4gjjCOQI4gjYCMMIoQh2CEMIEgfoB8kHsAeRB2MHIQbVBokGRwYSBeYFvQWTBWoFRgUqBRUFBAT3BPAE7QTmBNAEqAR0BEMEHwQJA/sD+gQXBFoEtgT/BQMEsgQnA5sDPgMaAxsDHgMRAvcC2wLFArMCoAKJAnQCXgJGAicCAgHhAckBuwGvAZ4BjAGDAYYBkAGVAY8BgAFyAWgBXQFKASwBCADmAMoAsQCZAH4AYgBFACsAFAAC//D/2//B/6L/hv9u/1j/Pv8f/wH+6v7Z/sj+sP6T/nX+W/5E/ir+DP3t/dD9t/2f/YX9aP1N/Tb9Iv0T/Qn9BP0A/Pv89Pzt/Ob84PzX/Mf8sfyX/H38ZPxP/D78NPwu/Cj8IPwV/Aj7+vvq+9v7zvvI+8j7yvvH+7/7tfut+6v7rPut+6r7o/ub+5T7j/uN+437jPuL+4f7gft6+3L7aftg+1n7VPtP+0j7P/s3+zT7Nvs6+z77Q/tI+077UftP+0v7SvtN+1T7WftX+1H7SvtE+0D7O/s2+zD7LPsp+yX7Ivsh+yX7LPsz+zf7OPs5+z/7R/tO+077R/s++zj7OPs5+zj7Mvsq+yH7GvsV+xL7D/sM+wf7Afr9+vz6//sD+wP7AvsB+wL7BfsI+wz7D/sS+xP7FPsW+x37Kfs2+0D7RvtN+1f7Yvtq+2/7dft/+477n/us+7T7u/vE+9D73Pvk++z79fwA/Ar8EPwR/BD8EvwX/B38IPwh/B/8IPwi/CX8J/wq/C78Nfw+/Eb8S/xP/FT8XPxm/HL8fvyJ/JT8nvyn/LD8uvzF/NL83vzo/PP9AP0P/R79Kv0z/Tn9Qf1L/Vn9a/2C/Zr9sP3E/df96f3+/hP+Jf41/kT+U/5j/nT+hP6U/qP+s/7D/tL+3f7m/u/++v8H/xP/G/8e/x//Iv8q/zT/PP9A/0D/Qf9H/1D/W/9n/3H/fP+G/4//mv+m/7X/w//N/9b/4f/yAAYAGgArADkASwBhAHoAkwCtAMgA5AD+ARQBKQFCAWABgwGlAcQB4AH7AhUCLgJGAmICggKjAsAC2gL4Ax4DSQNxA48DpwPDA+YECAQhBDEEPQRDBDYEBQO3A3MDcgPXBJwFkAZ2BxoHagd1B2YHcQe4CDUIwQkvCW4JiQmUCZMJeAk6COMIjQhHCA0H0weYB2YHRwc0Bx8G/QbVBrAGjwZpBjkGCgXsBeMF4wXeBdAFxAXEBdQF6AX2BfsF9gXqBdkFxQWtBZQFdgVXBUEFPQVJBVoFZAVoBXMFjQWuBcIFvwWqBZEFegVcBSgE4QSZBGUERwQrA/oDqAM+AswCXgH6AaABUAEOAN0AvQCmAI0AaAA1//7/zP+l/4T/ZP9C/yD/BP7t/tj+wv6t/pv+jf5+/mz+Wf5K/j/+Nv4o/hb+BP32/ev93v3N/bn9pf2T/YT9df1o/V/9WP1T/U39Rv0//Tn9N/07/UP9T/1b/WP9aP1s/W/9cv1y/XH9c/17/Yj9mf2u/cb93/37/hf+NP5S/m/+if6g/rj+2f8G/zv/cf+h/83/9wAhAEgAbgCUAL4A7AEYAUEBagGZAdQCEwJMAnoCoALJAvcDJwNQA3IDkQOxA9UD/QQlBEwEcwSaBMEE6AURBTwFZgWKBakFxQXjBgIGIgY/BlsGegadBsAG4Qb+BxcHMQdLB2UHfgeWB64HxQfZB+kH9wgICB0INwhQCGcIeQiJCJgIpQitCK8IrQirCKsIrQiuCKwIqQinCKgIqgisCKoIowiYCI4IiQiHCIUIfghxCGQIXAhbCF0IWwhUCEsIRghECD8IMAgaCAgIAAgCCAQH/QfqB9EHuwetB6gHpQedB4YHYQc2BxIG/AbtBtwGwQahBoMGbAZcBlMGUQZWBmAGZwZnBmMGZAZvBn8GhQaIBpEGpAa+BtcG6wb8Bw8HJgc9B1AHYAdxB4MHkweeB6gHuAfPB+gH+AgACAgIGQgyCEwIXghsCHwIkQioCLoIxgjRCOAI8AkACRAJJglDCWEJeQmLCaAJwQnlCf4KAQn5CgAKIgpVCn0KiwqHCokKmwqxCrUKoQqFCnsKiAqgCq4KrQqlCp0KlgqKCncKagpwCo4KugrlCwoLKgtKC2ULcwtyC2YLXgtiC3ALfwuFC4ALdAtnC2ELZQt0C44LswvfDA4MOwxjDIQMmgykDKIMmgyVDJMMkwyODIAMbAxdDFoMZAx1DIEMgwx7DG8MZgxgDF0MXAxeDGUMbgxyDG0MYwxiDHAMhwyVDI4MdwxiDFsMXgxcDEsMMQwhDCIMLgw2DDUMNAw8DE4MYAxvDIEMngzJDPkNJA1LDXcNqQ3cDgQOHA4tDkIOXQ55DpMOrQ7MDvAPEA8nDzkPSw9jD3kPiA+OD5UPnw+qD68Psg/ED/AQLxBiEHAQWhA5ECoQMBA8EDoQKRATEAEP7A/LD6IPgg96D4APdQ9ADucOig5KDjAOKA4XDfANvQ2NDWgNSQ0oDQAM0wylDHkMTgwkC/YLxQuTC2MLOwsdCwYK8grdCsgKsAqVCnoKYQpOCkAKMwojChEKAAn0Ce0J6AnjCd4J2QnUCc8JyQnECcMJxQnFCcIJvQm4CbMJqgmdCY8JgQl0CWcJVQlBCSwJGAkECOsIzwiyCJYIewhgCEQIJwgIB+YHvgeUB24HTgcyBxcG+AbZBrkGmgZ6BloGPQYoBhoGDQX9BekF2gXWBdoF2gXMBbEFmQWTBaIFugXGBbcFjwVZBR4E3gSXBE0ECwPdA78DpgOCA1EDGwLqAsMCowKEAmMCPwIaAfIByQGfAXYBTgElAP0A1wC0AJEAawBAABP/5/+6/4v/W/8t/wP+2/6u/nr+Rf4X/fT91v2y/YP9Tf0Y/Oj8vfyT/Gn8QPwW++j7tvuB+077Ifr5+tD6ovpw+jz6C/nd+bD5gvlT+SP49PjG+Jn4bfhB+BX36Pe594v3X/c19w726fbC9pr2cvZK9iT1/fXW9a71hfVc9TT1DvTs9M70tfSe9IP0ZfRE9CP0A/Pk88XzqfOR837zbfNa80PzKfMS8wDy8/Lr8uby4fLd8tfyz/LG8r3ysvKj8o/ydvJe8k3yRPI88jLyIfIO8gDx+vH58frx9/Hw8efx4PHe8eTx8vID8g/yEfIJ8f3x8fHp8ePx4vHm8fDx/PIE8gXyBPIL8h7yNvJK8lLyU/JW8mPydfKH8pPynvKs8r3yzvLd8uvy/fMS8yXzMfM28z/zUfNr84XzmPOl87LzxPPZ8+zz+/QN9Cf0SvRs9If0mfSp9MD03/T/9Rr1LPU89U71ZPWA9Z71v/Xi9gX2KvZQ9nf2nvbB9t72+vcZ9z/3aPeQ97P30/f1+Bn4Pvhj+I34vfj0+Sv5X/mO+b/59vox+mv6n/rP+wP7Q/uX+/78c/zt/WL9yv4k/nP+uv7+/z//gf/C//4AKwBDAEsAUQBnAJQA0AEPAUYBcAGMAZYBjAFyAVgBUQFjAYEBkgGDAVcBJQEHAQcBEwELAOAAngBoAFwAfwC8APQBGQExAUoBawGOAaoBvwHWAfUCGgI8AlICXAJgAmUCcAJ/ApQCqgK+AswC1QLcAucC9wMIAxUDHAMhAykDNwNJA10DcAODA5gDsAPLA+gEBAQfBDYETgRtBJYEyQT+BTIFZwWkBekGLwZoBosGmgaiBq4GxAboBx0HZAe5CBMIZAikCNMI+AkZCTgJUgllCW0JagleCU0JOwkpCRkJCQj+CP8JEQk3CWoJognUCfkKEAofCjEKUwqJCsUK9QsHCvkK0wqcClYJ/QmTCSMIvwh6CFwIXQhrCG0IVwgsCAUH/ggkCGcIqQjSCN0I2AjPCMUItwifCIAIXgg3CAkH1AehB3gHWQc6Bw8G1AaOBkgGCQXQBZ4FcAVGBSEFAATkBNAExATABL8EugSqBI0EZgQ8BBQD7wPIA6EDiQOWA9oERgSrBNEEmwQaA4YDFgLjAt4C5QLgAs0CtwKmApcChQJuAlYCQAIpAgsB5gHCAakBngGXAYsBegFrAWYBagFuAWoBYAFWAU4BRQE0ARgA9gDXAL0ApwCSAHsAYgBJADIAHwAP////6v/O/67/j/92/2H/Sv8v/xL++P7f/sb+qf6J/mz+Uv46/h79/v3f/cP9q/2V/Xz9Yf1F/Sz9Fv0E/Pj88Pzr/OX83vzW/M/8y/zF/Lr8qfyT/Hv8ZPxP/D78Mfwo/B/8F/wN/AL79Pvk+9T7yfvF+8b7xvvA+7T7p/uf+5v7mfuX+5L7jPuI+4P7f/t7+3j7dvtz+2/7avtj+137VvtR+037SftE+zz7Mfsp+yX7J/sq+y37Lvsw+zT7OPs6+zr7O/s++0H7Q/tB+zv7N/s0+zL7L/sr+yb7I/sh+yD7Hvsf+yP7Kfsv+zP7Nvs9+0b7UPtT+0/7R/s/+zv7Ofs1+y37IvsX+xD7DPsJ+wj7B/sG+wL6+/r0+u/68fr3+wD7BvsI+wj7B/sH+wj7C/sM+wz7DfsS+xz7Kfs0+zv7QftK+1b7Yvtp+237cvt8+4v7mfuj+6r7sfu9+8z72Pvh++b77fv3/AD8BfwG/Af8CvwQ/Bb8Gvwa/Bn8Gvwe/CL8JPwn/Cv8Mvw7/EL8SPxM/FH8Wvxm/HL8fvyL/Jj8pvyy/Lz8xfzO/Nn84vzq/PL8/f0L/Rr9Jv0v/Tb9Pf1H/VT9ZP13/Yv9n/2z/cj93/32/g3+H/4u/jv+Sf5a/mv+e/6J/pj+qP66/sr+1/7i/u3++f8F/xH/G/8i/yj/L/84/0H/Sf9O/1D/Uv9W/13/Zv9y/3//i/+V/6D/q/+3/8T/z//Y/+L/8QAFABkAKgA1AD4ASQBZAHAAiwCpAMcA4wD7AREBKAFFAWcBigGrAckB5QIBAhsCMwJKAmUCgwKkAsEC3gL/AycDUwN4A5UDrQPIA+kECAQfBC0EOAQ6BCcD9AOtA3oDiQPvBKEFcQYwBroHBQcfBysHUAeoCCsIuAkoCW0JjgmaCZEJaAkeCMEIaQgjB+gHrwd3B0wHMwciBwoG5Qa8BpsGgAZdBisF8wXKBbkFuQW4BbAFpQWiBakFtAW9BcIFwwW/BbUFowWKBW0FTAUrBREFAwUCBQcFDAUUBSYFRQVnBXwFfgVzBWgFXgVIBRsE2gSZBGYEQQQYA9wDiQMqAsoCaQIGAaEBQgD3AMUAqACRAHMASAAT/+D/tf+U/3f/Wf83/xf+/P7l/tL+vv6r/pj+hP5v/ln+SP4+/jj+L/4g/g79/f3w/eT91f3A/av9mP2I/Xn9a/1g/Vn9VP1O/Ub9Pf03/TX9Nf04/T79Sf1W/WP9bf1z/Xj9ev15/Xf9df15/Yb9mv2x/cr94/39/hn+N/5X/nX+kP6o/sH+4P8I/zb/Z/+X/8f/9gAkAE4AdQCbAMUA8AEbAUMBawGaAdICDgJEAnICnALIAvgDJwNPA3ADkAOzA9sEBgQuBFUEeQSdBMEE5wUQBTsFZQWLBasFywXrBg0GLQZKBmYGhQanBsoG6QcGByAHPAdXB3EHiAefB7YHzgfiB/EH/QgLCCAIOghTCGgIeQiJCJwIsAjBCMsIzgjOCM8IzwjPCMsIxQjBCMAIwwjGCMUIvgi0CKwIqwiuCK4IpAiQCH0IdAh4CIEIgwh4CGYIVwhRCE8ISgg/CDMIKwgmCB4IDQf1B9wHyAe7B7MHqgedB4cHawdNBzUHKAcgBxUG/gbaBrQGlQaCBnoGeAZ3BnQGbQZlBmIGaAZ0BoYGigaRBqAGuAbSBucG9wcGBxkHMAdHB1oHagd6B4oHlQebB6EHrgfDB9oH6wf1B/4IDggkCDsITQheCHIIigihCLQIwwjUCOkI/QkOCR8JOAlaCX0JlAmhCbEJ0Qn4ChAKDAn9CgcKQgqfCu4LBgrlCq4KiAqACogKjwqTCpkKqAq3CrwKswqlCpkKkQqLCocKjgqoCtMLBAstC0kLWgtlC2sLagtkC2ILawt+C5QLoQuhC5YLiQt+C3kLfQuNC6sL1wwJDDwMbAyYDLsM0wzcDNkM0AzHDMEMuQyqDJUMgwx9DIYMlwylDKUMmAyEDHQMawxoDGcMaAxuDHcMgAyBDHkMbwxwDH8MkwybDI4MeAxrDG8MeQx5DGgMUQxIDFIMYgxrDGkMaAxyDIMMkwydDKoMxgzyDSQNUg1+Da4N5Q4ZDkEOWg5vDokOpw7CDtgO7Q8LDy8PTw9lD3IPgQ+XD6wPuQ+/D8UP0A/bD98P3w/vEBgQUhB+EIYQbxBUEEoQUBBUEEUQKBAMD/YP3w+/D5wPiA+KD5EPfw9BDucOkQ5cDkgOPw4rDgYN2g2xDY0NaQ0/DREM4QyzDIgMXQwyDAcL2guvC4kLawtSCzwLIgsGCugKzAq0Cp4Kiwp5CmgKVgpCCi8KIAoWCg4KBgn+CfcJ8gntCecJ4QneCeEJ5QnnCeMJ3QnWCdAJxwm5CakJmgmOCYQJeAlnCVMJPAklCQ0I8wjZCL0IoQiECGYISQgsCAoH4we7B5YHdwdbB0AHIQcABt8GwAagBoEGZgZRBkIGNAYlBhQGCQYGBgcGAgXvBdMFuwW1BcUF3QXpBdsFsgV3BTME7QSoBGsEOwQZA/0D3gO1A4MDUQMmAwIC4QK+ApkCcwJMAiQB/AHVAbABiwFlAT4BGADzAM4ApwB9AFAAI//2/8f/mP9r/0H/F/7p/rf+hf5Z/jb+Ff3v/cH9kP1f/TL9Bvzb/K/8hfxa/Cv79vvB+5D7Zvs9+xL64fqs+nn6Sfod+fH5w/mS+WH5MvkE+Nn4r/iF+Fj4KPf498j3m/dw90f3IPb59tL2q/aE9l32NvYP9ef1vfWR9Wb1P/Ud9QL06vTT9Lj0mfR49Fb0NvQX8/nz2/PA86rzmPOH83TzXfND8yrzGPML8wPy/PL08ury4PLW8s7yxfK48qXyj/J68m3yZfJe8lLyQPIs8h/yGvIb8h3yGvIT8gnyAfIA8gbyEvIf8ifyJ/Ih8hryFPIR8g3yCvIJ8g7yF/If8iXyK/I18kfyW/Jp8m3ybvJ08oLylPKi8qvysfK98tDy5fL28wTzEvMh8zHzQPNL81jzafN/85TzpfO088Tz2vPw9AP0EfQg9Dj0WPR49JD0ofSy9Mr06fUH9R71K/U39Uj1X/V79Zn1ufXc9gP2K/ZV9nz2ofa/9tj27fcE9yL3Rvdu95f3v/fo+BL4Pfhm+I74ufjp+R75VfmM+cD58fod+kT6aPqP+rv67vsr+3X7z/w6/K39IP2I/eL+Mv5+/sn/Ff9d/5j/wf/X/+T/9wAcAFIAjwDHAPIBEAEiASgBHgEKAPkA+wEUATgBSwE6AQEAtgB0AE4APwA2ACUADwAGABkASACCALQA2QD1ARMBNAFSAWoBfwGZAboB3gH6AgsCEwIYAh8CKwI7Ak8CZwJ+ApECnwKrArcCwwLLAs8C0wLcAusC/QMNAxsDJwM3A0wDYwN/A54DvwPeA/YECwQnBFEEhgS+BO8FHAVSBZgF5AYkBkkGUwZSBlYGagaSBs0HGgd0B88IHwhcCIoIsQjUCPMJCgkUCRIJCgkBCPkI8gjqCN4IzwjECMcI4AkNCUQJeQmgCbQJtQmuCa0Jwwn0CjYKcgqTCpEKbQotCdMJYgjlCHMIJggNCCEISwhqCGgIQggMB+kH8ggpCHQIsgjPCM4IwQiyCJ8IgwheCDgIFwf4B9AHmgdfBysHAwbiBrsGiQZMBgwFzAWPBVYFJgT/BN8EwgSmBJEEiASIBIkEfgRiBDoEDwPqA80DswOVA3ADTQNAA14DqgQJBE0ETgQFA44DGQLJAqMClQKPAocCgAJ8AnMCYQJIAi8CHAIMAfYB1gGxAZMBgwF7AXEBYwFTAUkBRQFEAT4BNgEwASwBKAEbAQQA5gDIAK8AmgCHAHMAXwBKADcAJwAYAAn/9v/b/7r/mv9//2j/U/88/yL/B/7p/sr+qf6I/mv+UP40/hX98v3R/bX9nv2J/XH9V/08/ST9D/z9/O/85fzd/NX8y/zC/Lr8tPyu/KX8mvyK/Hf8ZPxR/D/8Lvwg/BP8CfwB+/j77fvf+9H7yPvE+8T7wPu3+6r7nvuX+5P7jvuH+4D7e/t4+3b7cvtt+2j7Y/te+1n7VPtO+0n7RftC+0H7QPs9+zf7L/sp+yX7Jfsl+yL7Hfsa+xv7H/sk+yj7LPsw+zL7Mvsw+y37Lfsu+y/7Lvsq+yf7JPsj+yP7I/sl+yn7Lfsw+zD7Mvs5+0P7S/tO+0r7Q/tA+0D7QPs7+zL7J/sg+x37G/sX+xL7DfsI+wP6+/rx+ur66vrw+vv7A/sH+wX7Afr/+wH7BvsK+w37EfsY+yP7Lfs1+zv7QPtI+1P7XPti+2b7bPt3+4T7kfuZ+6D7qvu4+8f70/vb++H76Pvw+/j7/Pv9+/78AvwI/A78EvwU/BP8FPwX/Bz8Ifwn/Cz8M/w6/D/8RPxJ/FD8W/xm/HL8fvyL/Jr8q/y7/Mj80/zd/OX87Pzy/Pj9AP0K/RX9H/0n/S/9Of1G/Vb9Zf11/YX9lf2n/bz91P3u/gf+HP4s/jr+Sf5b/mz+ev6I/pb+pv64/sn+1/7k/u/++/8G/xD/Gv8l/zD/O/9D/0n/T/9U/1v/Yf9n/2z/dP99/4j/lP+g/6z/uP/D/8z/1P/d/+v//gAUACcANAA6AD4ARQBTAGkAhgCnAMcA5AD9ARUBMQFRAXMBlAGxAc4B7QINAioCRAJbAnQCkAKuAssC6QMLAzIDWwN+A5kDsgPNA+oEBQQYBCUELgQsBBUD5QOsA44DqwQNBKEFRQXaBk8GoAbTBvsHMwePCBAInAkUCWUJjgmXCYIJTgj/CKgIWggbB+IHpwdtB0EHJwcVBvwG1wawBpEGeAZWBiUF6wW9BaUFnwWcBZQFiQWDBYMFhgWIBYwFkgWYBZgFjgV7BWIFRQUnBQoE8QTeBNIEzwTXBO4FDgUrBTwFPwU8BTwFOwUqBQMEzASTBGQEOQQGA8EDbwMYAsACYgH6AY0BKQDeALAAlAB7AFkAK//5/8z/qP+K/23/Tf8s/w7+9P7f/sv+uP6l/pH+e/5j/k3+Pv42/i/+JP4U/gT99/3t/eH9zv25/aX9lP2G/XX9Zf1Z/VL9TP1E/Tn9MP0t/S/9Mv0z/TX9O/1J/Vn9aP1y/Xn9fv2A/X/9f/2E/ZD9pP28/dT97f4J/if+Rf5i/nv+k/6r/sf+5/8M/zT/Xv+L/7v/7AAaAEYAcACbAMkA9wEjAUsBcwGgAdYCDwJGAncCpQLTAwADKwNQA3IDlAO6A+MEDQQ1BFoEfQSfBMIE5wUOBTcFXwWFBakFzAXxBhUGNwZWBnQGlAa2BtcG9QcQBywHRwdhB3gHiwefB7UHzQfjB/QIAQgRCCcIQQhaCG0IfAiMCKEIuwjUCOYI8Aj1CPcI9gjzCOsI4QjaCNcI2AjYCNQIzAjFCMIIxAjHCMUIuQimCJYIkAiXCKEIowiZCIUIcghoCGUIZwhoCGUIXAhLCDAIDwfvB9gHyge9B64HmweJB3oHbgdiB1UHSQc8BywHEgbxBs4GsQagBpcGkgaMBoMGegZ1BnUGewaBBpAGkwadBrAGxwbbBusG+AcKByIHPgdWB2YHcwd/B40HmAegB6YHrwe9B84H3AfoB/QIAwgWCCcIOAhNCGcIhQieCLAIvwjVCPEJDQkiCTYJUQl1CZkJrgm3CcMJ4goJCiEKGAoBCggKTAq7Cx0LOwsLCrQKbgpXCmkKiwqoCroKxArGCr8KsAqjCp0KogquCsEK2gr7CyILRQtdC2kLbAtrC2gLZgtnC3ILhQuaC6cLqAuiC5sLmAuZC5oLnwuwC9EMAww8DHUMqAzTDPYNDQ0WDRINCAz9DPIM4wzPDLgMqAylDLAMvgzEDLsMqAyRDH4McgxrDGgMbAx4DIoMmAyaDJAMhgyJDJoMrQyyDKQMkAyGDIwMlQySDIAMbwxuDH8MkgyaDJgMmAykDLcMxgzQDN4M+w0nDVcNhQ2xDeIOGA5KDm8Oig6mDsgO6g8DDxMPJA9CD2gPiA+bD6UPsw/JD+AP7Q/wD/MP/hALEBMQFxAoEE8QghClEKYQixBuEGIQYhBaEEAQHA//D+sP1w+6D5sPiw+PD5QPfw9DDvEOqw6CDnEOYw5KDiUN/g3YDbINhQ1SDR4M7wzDDJkMbwxHDCAL+gvWC7YLmguCC2kLSwspCwkK7grZCskKuAqmCpAKeQpiCk8KQgo5CjEKJwodChUKDwoKCgQJ/gn+CgIKCAoICgIJ+AnvCegJ3wnRCb8JsAmlCZ8JlgmJCXYJXwlICTEJGgkBCOUIxwimCIYIZwhJCCkIBAfeB7sHnQeDB2cHSQcoBwcG6AbLBq8GlQZ/Bm0GXgZQBkMGOwY3BjIGJAYLBe8F2wXbBewGAwYMBf0F0wWVBU8FCgTNBJ0EeQRbBDoEEgPiA7IDhgNhAz8DGwL0As4CpwKAAlkCMQINAesByQGmAX8BVwEyAQ4A6AC/AJIAYgAzAAP/1P+n/3z/Uf8k/vf+y/6k/n7+WP4t/f790P2k/Xr9T/0k/Pj8zfyg/G78OfwE+9b7rfuF+1f7I/rt+rn6ifpc+i/6APnP+Z75b/lC+Rn48PjF+JX4Y/gx+AH31fer94D3Vvct9wb24Pa59pH2avZE9h319PXK9aD1efVY9Tz1I/UK9O30zfSq9Ij0Z/RK9C30EPPz89nzxfO086PzjfNy81fzQvM08yrzH/MR8wHy8vLo8uDy2vLQ8sPysvKh8pLyhfJ58mvyXfJP8kXyQPI/8j7yO/I28jDyLPIr8i7yM/I48jryOfI28jPyMvIx8i/yK/Iq8i3yNfJA8kvyVvJi8m/yfPKD8obyiPKP8pzyrPK38r7yw/LO8uLy+fMN8xzzKPMy8z/zTPNa82rzffOS86Xzt/PH89vz8/QL9B30KvQ49Ev0ZvSC9Jj0qPS49ND07fUI9Rz1KfU09Ub1X/V89Zn1uPXc9gT2L/ZY9n32nva59tH25vb79xb3N/de94j3svff+A34Pvhu+Jv4xfjv+R75UvmJ+bz55/oI+iT6Qfpl+o76uvrn+xj7Vfuk/AL8aPzN/S79jf3t/k3+qf73/zP/Xf97/5n/vf/sAB8AUAB5AJoAswDDAMcAvwCvAKMAqADDAOwBDQESAO4ApwBPAAD/yv+u/6f/rv/B/+EACgA5AGcAkAC2ANkA9gEMASEBOQFbAYEBogG3AcEBxwHPAd0B7gH/AhICJwI9AlECYwJ0AoQCjgKPAosCigKTAqUCugLJAtIC3ALsAwIDHAM4A1gDegOZA68DwgPdBAwETQSOBMME6wUWBVUFogXpBhMGHAYQBgcGEQY2BnMGxAcgB3sHyQgHCDgIZAiMCK0IwQjECLsIrgijCJ0ImgiXCJIIjgiPCJ4IvAjmCQ8JMAlACUAJNAkjCRoJJQlNCYwJzwoACgsJ6QmYCSAIkwgOB7UHnAfECA4IUghuCFYIHQfkB84H6QgrCHMIpQi1CK4IoAiQCHgIVAgmB/sH2Qe7B5QHXAcdBuUGuwabBngGSwYTBdQFkgVPBRME5ATCBKcEjQRwBFkETQRLBEYENAQQA+EDswOOA3UDZgNZA0YDKAMJAv4DHQNnA8AD+wP2A60DQALXAowCYQJOAkcCRwJJAkQCNAIaAgEB8QHnAdsBxAGkAYQBbQFeAVIBRAE3AS0BJgEfARUBCwEGAQYBBgD/AO4A1QC4AJ4AhwByAGEAUQBCADMAJAAUAAX/8v/a/77/of+F/23/WP9B/yn/Dv7w/tD+r/6P/nH+VP40/hD96f3G/an9kf17/WP9Sf0w/Rr9B/z4/Or83vzS/Mf8uvyu/KP8mPyQ/In8gfx4/G38XvxN/Dv8J/wV/AT7+Pvv++n74fvX+8z7xPvA+737tvur+577lfuP+4z7hvt9+3T7b/tu+237avtk+137VvtR+0v7Rfs/+zv7Ofs3+zf7N/s2+zT7MPsr+yj7JPsg+xr7EvsN+wz7DvsS+xb7Gfsd+yD7Ivsk+yf7K/sw+zP7Mvsw+y37LPsr+yr7Kvss+zD7NPs0+zH7MPsz+zr7QPtB+z/7O/s7+z77P/s8+zX7MPst+yz7Kvsj+xr7EfsK+wP6+vrx+uv66fru+vX6+vr7+vn69/r2+vr7AfsJ+xD7Fvse+yf7MPs3+z37RPtN+1X7XPth+2b7bft4+4P7jfuU+5z7p/uz+8D7yvvS+9r74/vs+/P79vv4+/n7/PwB/Af8C/wN/A38DfwP/BX8Hfwm/C/8Nvw7/D/8RPxK/FL8Xfxq/Hb8gfyO/J38r/zB/NL84Pzq/PL8+Pz8/QH9B/0N/RT9Gv0h/Sv9Of1K/Vv9av13/YL9j/2e/bH9yv3m/gL+Gv4u/j/+UP5h/nD+ff6J/pf+p/64/sj+1/7l/vP+//8J/xL/G/8o/zj/Rf9M/07/Uf9X/2H/bf92/33/hP+L/5T/nv+q/7b/w//N/9T/2v/j//MABwAcACsAMwA3ADoAQgBRAGcAhQClAMYA5AD/ARwBPAFeAX8BmwG2AdIB8gIVAjUCUAJpAoICngK8AtkC9wMZAz4DYgODA54DuQPVA/EEBwQWBCIEKQQkBAsD3gOyA6YDzgQnBJsFEwWGBe8GTwahBucHLgeJCAAIhgkACVgJhAmHCWYJKAjaCI4IUAggB/EHvAeEB1YHOAciBwcG4ga8BpsGgAZfBjIF/gXRBbMFoQWSBYIFdAVsBWoFaAVmBWUFbAV2BX8FfwV2BWYFUwU+BSUFCATpBM8EwATDBNcE8QUIBRUFGQUcBSEFIAUQBO0EvQSNBGEEMQP2A6sDVwL/AqICOwHLAVwBAQDCAJ4AhQBqAEUAGv/u/8f/pf+F/2T/Q/8k/wn+8v7d/sj+s/6e/or+df5f/kz+Pf4y/if+GP4H/fn97/3m/dn9xv2y/aP9lv2J/Xb9Yv1T/Ur9RP06/S79Jf0k/Sr9L/0w/S79Mv09/U39XP1o/XL9e/2C/Yj9jP2U/aL9tv3M/eP9/P4a/jv+Wf5x/oX+mP6x/s/+8f8S/zT/Wf+C/7D/3wAMADgAZACTAMYA9wElAU0BdQGhAdUCDwJKAoECtALiAwsDMQNWA3oDnwPGA+4EFQQ7BGEEhgSqBM4E8gUYBT8FZgWMBbEF1gX7Bh8GQQZiBoIGpAbEBuIG/QcXBzEHSwdiB3UHhwebB7QHzwfoB/wIDgghCDoIVAhrCH0IjAidCLMIzgjoCP4JDQkWCRoJGQkSCQUI+QjxCO8I7gjsCOcI4QjdCN0I3gjcCNUIygi+CLQIsAivCLEIsQisCKEIkwiHCIEIhAiNCJEIhwhqCD8IFQf5B+wH5wfZB74Hmwd+B3AHbgdtB2cHWAdCByoHEAb0BtoGxQa2Bq0GpwaiBpwGlwaUBpQGkwaSBpgGnAaoBroGzAbbBucG9QcLBykHRwdgB24Hdgd/B4wHmwenB7AHtwe/B8gH0AfaB+cH+AgJCBgIKQg/CF4IfgiZCKsIvQjYCPsJHgk6CVAJagmMCa0JwQnKCdUJ8goZCjMKLgoXChYKRwqhCvELBQrUCoIKRQo6ClsKiwqwCsQKyQrHCr8KtgqzCrsK0QrvCw8LLAtFC1cLYgtnC2kLagtqC2oLbAtyC4ALkgufC6ILngubC6ALqwu1C7oLvwvQC/YMLwxwDK4M4Q0KDSsNQQ1LDUkNPw0xDSINEAz8DOcM1wzRDNIM1QzUDMsMvAypDJQMgAxvDGgMcgyNDK8MxwzNDMIMtgy2DMMM0gzSDMMMsAyoDKwMsQyqDJoMjwyVDKoMvQzEDMMMxQzSDOUM9w0FDRkNOg1mDZMNvA3lDhMORQ5yDpUOsg7UDvwPHw81D0MPVQ92D50Pug/FD8oP2Q/2EBMQIxAlECcQMxBFEFIQWhBnEIYQrhDGEL4QnRB5EGUQWRBIECkQBw/vD+IP0w+6D50PjQ+MD4sPcw8+Dv0OyQ6tDp4Oiw5tDkcOIg39DdENnQ1mDTINBgzfDLkMkgxtDEsMKgwJC+cLyQutC5ILdQtVCzcLHgsLCvoK5wrQCrYKmwqCCnAKZApcClQKSgo/CjcKMgotCicKIgoiCiYKKQomChwKDwoFCf4J9QnnCdUJxgm9CbgJsgmmCZYJggluCVkJQwkqCQwI6wjJCKcIhwhpCEkIJwgDB+EHxAepB48HcQdRBzIHFAb5Bt4GxQauBpoGigZ9BnMGbAZlBlgGQgYmBg0GAQYHBhoGKwYuBhoF7gWyBXEFNAUCBNsEugSYBG8EQAQPA+MDvQObA3YDTgMmAwAC3QK5ApICbAJHAicCBgHjAbwBlAFwAU0BKQEAANAAngBtAD4AEP/j/7X/if9e/zb/Ef7u/sj+nv5v/j/+D/3j/bn9j/1l/Tv9D/zh/K38ePxF/Bn78PvF+5X7YPsr+vn6yvqc+m36PfoN+d/5svmG+V35M/kF+NL4nfhr+D74Fffs98L3lvdr90L3Gvbx9sj2oPZ59lP2LPYE9dv1tvWU9Xf1XvVF9Sr1CvTn9ML0oPSD9Gj0TfQv9BHz+PPk89DzuPOb84DzbPNg81jzS/M58yPzEfME8vzy9fLs8uHy1PLE8rPyoPKQ8oLyePJw8mnyYfJZ8lPyUPJO8k3yTvJP8lDyUPJP8k3yS/JL8kzyTfJO8k7yTfJO8lLyWfJj8m7yefKE8o7ylfKa8p3yovKr8rbywfLK8tHy2PLk8vbzCvMf8zDzPfNH81LzXvNt83/zk/Oo87vzzPPc8+70A/QZ9Cv0OvRJ9Fz0dPSM9KD0r/S+9NP07fUG9Rr1KPU29Ur1ZfWE9aP1wvXl9gz2NPZZ9nn2lfaw9sr24/b89xj3O/dj9473uvfm+BX4R/h6+Kn40/j5+SH5Tfl8+ar50fnw+gr6JfpE+mf6i/qw+tf7BPs7+3z7xfwV/HD82P1L/cH+L/6L/tL/DP9A/3T/p//T//UADgAkADwAVABlAGwAaABhAF0AZAB7AKAAzADtAO8AwQBqAAH/p/9z/2f/dv+P/6n/x//sABkASgB4AJwAtADGANsA+gEiAUsBaAF2AXoBfwGLAZ0BrwHAAdAB4AHxAgICFQIqAj4CTAJPAkoCRgJNAl4CcAJ8AoQCjwKkAsAC3QL4AxQDMgNPA2UDeAOYA88EHARnBJ0EvQTbBQ4FVgWhBdMF3wXRBcAFwAXeBhgGaQbEBx0HagepB98IEQg+CGEIdAh3CHAIZQhZCE4IRghDCEQITAhbCHMIkAisCL0IvgiwCJoIgwhvCGMIZgh9CKoI5QkaCTEJFwjFCEcHuwdNByEHRgelCBEIWAhiCDQH8QfBB70H5wgoCGIIggiHCH4IcwhmCE8IKQf5B8oHpQeAB1MHGgbeBqwGhwZpBkUGFQXaBZYFUAULBNAEpQSIBHEEWAQ7BCEEEgQJA/0D4gO6A4wDYQM+AyQDFgMPAwgC9QLVArcCugLvA0kDngPDA6MDUgL0AqcCcwJPAjMCHQIPAgYB+wHrAdcBxQG6AbABoAGKAXEBWQFEATIBIgEVAQwBBQD8APEA5gDgAOAA4gDfANIAvQCiAIcAbgBYAEcAOQAuACIAEwAC/+//3P/I/7L/nP+F/27/WP9B/yj/Df7v/tD+sf6U/nf+WP41/g795v3B/aL9iP1v/Vb9O/0j/Q38/Pzs/N/80vzF/Lf8p/yY/In8fPxx/Gn8Y/xd/Fb8TPw+/C/8HvwM+/r76/vf+9j70vvK+8L7uvu1+6/7qPud+5H7iPuC+337dvtu+2f7ZPtj+2P7YPtb+1T7TvtI+0L7PPs4+zb7NPsy+zH7MPsw+y77K/sn+yL7HfsX+xH7DPsJ+wj7B/sF+wP7A/sG+wr7D/sW+x77J/sv+zT7Nfsz+zL7Mvsy+zD7Lfsu+zL7Nvs3+zX7Mvsy+zX7Ofs7+zn7Nvs2+zf7N/s1+zH7Lvss+yn7JPsc+xT7DfsG+v/69/rv+uv66vrt+vD68vry+vP69Pr3+vv7AfsI+w/7F/sf+yf7Lvs2+z/7SvtU+177Zftr+3L7efuC+4r7kPuX+5/7p/uw+7f7v/vJ+9X74fvr+/D78vv0+/b7+vv9/AD8A/wF/Af8CPwK/A/8Gfwl/C/8Nvw6/D78RPxL/FX8Yfxu/Hv8ifyX/KX8tvzH/Nf85vzx/Pn8/v0B/QX9Cf0P/RP9Gf0h/S39PP1N/Vz9aP1y/X39iP2X/an9wf3e/fz+GP4w/kX+V/5n/nX+gf6M/pr+qv65/sf+1f7k/vb/Bf8S/xr/I/8w/0H/Tv9W/1j/Wv9h/2z/eP+D/4z/lf+d/6X/rf+1/7//yv/U/9v/4v/r//oACwAbACYAKwAvADUAQABRAGgAhACkAMUA5AEDASEBQgFkAYMBoAG7AdgB+AIZAjYCUQJsAogCpwLGAuUDBAMmA0kDawOJA6YDxAPjA/4EEgQgBCoEMQQpBA0D4AO7A7cD4gQxBI4E6gVIBa4GHgaLBusHQgeeCA0Iigj9CVAJdglwCUcJBwi+CHsISQgnCAgH4ge2B4sHZgdHBycHAwbeBrwGngZ8BlMGJgX8BdkFuwWfBYYFcwVqBWcFZAVcBVQFUQVWBV4FZAVlBWIFXgVXBUsFNgUZBPkE4gTZBOEE8QUCBQ0FEwUYBRoFEwT+BNwEtASMBGEELAPnA5UDOwLbAnIB/wGJASIA1gCoAIwAdABYADYAEf/t/8r/pv+A/1z/O/8g/wn+9P7e/sf+sP6a/ob+c/5g/k7+Pv4v/iD+D/3+/fH95/3b/cv9t/2l/Zr9kf2F/XH9XP1M/UT9P/01/Sn9H/0e/SX9K/0t/S39Mf07/Un9Vf1g/Wv9d/2E/Y/9mP2k/bT9yf3f/fX+Dv4s/k3+av6A/pD+o/68/tv++/8Z/zX/Vv99/6r/2AAEAC8AXACNAMAA8QEfAUkBcQGdAdACCgJHAoICtwLlAwwDMwNbA4QDrQPUA/kEHgRGBG4ElgS9BOIFBwUuBVUFfQWjBcgF6wYMBiwGSgZpBooGqwbKBuYHAAcaBzQHTAdiB3UHigejB8EH3wf6CBEIJgg9CFcIcAiGCJgIpwi4CM0I5Aj6CQ4JHgkqCS8JLgklCRcJCwkFCQUJBwkFCQII/wj/CQAI/Qj1COoI4QjcCNgI0AjDCLgIsgizCLIIqgicCJMIlQigCKgInQh9CFMINQgvCDwIRQg4CA0H0geeB38HcwdwB2oHWwdGBy8HGQcFBvEG3wbRBscGwQa+BrwGuAayBqoGogabBqQGqga1BsIG0QbeBuwG/AcRBywHRwdeB2wHdgd/B4sHmAekB68Htwe/B8QHyQfQB9wH7wgCCBQIJQg7CFgIeAiVCKwIxAjkCQ0JNQlTCWkJgAmdCbsJzwnZCeQJ/AoiCkIKSwpCCjwKTwp3CpcKlAprCjsKJAo0Cl4KiQqmCrQKuwrCCsoK0grfCvQLEgszC1ALZAtrC2oLYwteC18LZgtuC3QLdgt5C4ALiwuUC5gLmgugC60LvQvIC8wL0wvrDBkMWwyiDOENEQ03DVUNbA15DXkNbg1cDUkNNg0lDRQNBAz3DOwM5QzhDN4M2QzLDLMMlQx8DHYMiwy2DOYNCQ0RDQUM9QzuDPIM9gzvDN0MzAzGDMoMzAzFDLgMswy9DNIM5QzsDO0M8w0CDRcNKg09DVcNfA2nDdAN9A4aDkYOdA6eDr4O3g8DDywPTw9lD3UPjg+1D9sP7w/wD+4P/xAkEEkQXBBeEF8QbhCFEJQQlhCWEKEQthDDELYQlBBuEFMQQRAsEBAP9Q/kD9wP0Q+8D6QPlQ+QD4cPaw88DwsO6Q7XDskOsg6ODmgOQg4bDewNtQ1+DVANKw0KDOYMwwyhDIMMZAxCDB0L+gvbC8ALpAuHC2sLUws/CysLFQr6Ct0KwQqoCpYKiQqACncKbQpjClwKVwpTCk8KSwpICkgKRQo9CjAKIwoYChAKBwn5CeoJ3gnXCdMJzQnDCbUJpgmWCYMJbAlQCTEJEAjwCM8IsAiSCHQIVAgyCBAH8AfTB7cHmwd9B18HQwcoBwwG8gbaBsUGtgaqBqEGmAaMBnkGYAZFBjMGMAY6BksGVQZOBjIGBgXPBZcFZAU5BRQE8ATIBJwEbQRCBBsD+APTA6oDfwNXAzQDFQLzAs8CqQKEAmMCQQIcAfUBzwGtAYwBZwE6AQcA0wCiAHYASwAg//T/yP+f/3n/Vv80/w/+5f61/oP+Uf4i/fX9yv2h/Xj9TP0c/Oj8tPyE/Ff8LPv9+8z7mfto+zn7Cvrb+qv6fPpP+iP59vnL+aD5dflF+RH42/ip+H74WPgx+Ab32fes94H3V/ct9wT22/a09o32ZfY89hT17/XO9bH1l/WA9Wf1SvUn9QD02/S99KP0ifRs9E30MPQY9ALz5/PI86zzmfOP84jze/Nm803zOPMq8x/zFfMJ8v3y7/Lg8s/yu/Kq8p7ymPKS8ovygPJ18mzyZvJl8mbyafJs8m7ybPJp8mXyY/Jl8mjya/Js8mzybvJy8nfye/KA8ofykfKb8qTyqvKv8rbyv/LJ8tLy2fLf8ufy8fL98wvzGvMq8zrzSvNY82TzcfOB85PzqPO+89Hz4fPv8/z0DPQe9DH0RPRY9G30hfSb9K30u/TJ9Nr08fUI9Rz1LPU99VX1dPWV9bb11PXy9hL2MvZR9m72ivan9sb25PcD9yT3Svd296T30ff9+Cn4WPiH+LP42vj9+R/5Q/lq+ZL5ufnc+fv6FPop+j36Vvp3+qD6zfr6+yT7UfuK+9b8OPyt/Sr9pP4T/nX+zf8g/2j/oP+//8n/y//R/+P/+gAOABoAIQAqADUAQABPAGcAjgC8ANYAwABwAAD/l/9Y/0f/VP9m/3b/iP+o/9cADAA6AFsAcgCGAKEAxQDuARIBKQEyATUBOwFJAVsBbQF8AYoBmAGnAbUBxQHZAe8CAgILAgoCCQIOAhsCKQIzAjsCSgJjAoMCoQK7AtUC8QMOAyYDPANeA5cD4wQuBGIEfgSVBL4E/wVHBXoFiwWABXEFcgWRBcwGHAZ1BssHFQdSB4gHuAfjCAMIGAghCCQIIQgYCAsH/wf6B/8IDQgjCDsIUwhjCGAIRwgbB+oHwAehB4wHfQd4B4QHpAfPB/EH8wfHB3YHHAbjBukHMwejCAkIPQgyB/wHwgenB7cH5ggcCEIIUAhMCEMIPAgyCBsH9gfHB5kHbwdDBxIG2waoBoAGYAZABhMF2AWTBUoFAwTBBIsEZARKBDQEGwP+A+UD1APGA7EDkANlAz0DGwL/AuUC0QLEAr0CswKfAocCgAKdAtkDGQM7AzMDDwLoAskCqgJ7AjoB9gHFAbABsAG0Aa8BogGQAYABcAFhAVEBPgEpARMA/QDrAOAA2QDTAMoAwQC7ALkAugC3AKwAmgCDAGoAUwA+AC0AIAAVAAr//f/q/9X/wP+s/5r/iv95/2f/U/88/yP/CP7q/sz+rv6S/nb+V/41/g795/3D/aP9hv1r/U79Mv0X/P786vza/Mz8wPyy/KP8kvyB/HH8YvxW/E38Rvw//Df8Lvwl/B38FfwJ+/n76PvZ+837xfu9+7T7rPum+6D7mvuR+4b7e/ty+2r7Yvta+1X7U/tU+1T7UvtP+0r7RftA+zv7Nvsz+zH7MPsu+yz7KPsl+yL7HvsZ+xT7EPsL+wj7B/sH+wb7Avr8+vb69Pr1+vr7AfsJ+xL7Hfsn+y37MPsw+zH7Mvsz+zH7Lvsu+zL7N/s6+zn7N/s2+zj7O/s9+zz7Ofs2+zX7M/sx+y77K/sm+x/7FvsP+wr7B/sD+vz69Prt+uv67Pru+u/68fr0+vr6//sD+wT7BvsK+xD7GPsh+yn7MPs4+0H7TPtX+2L7a/t0+337hvuM+5L7l/ud+6X7rPux+7X7vPvH+9b74/vq++z77fvw+/X7+fv6+/r7/Pv//AP8BvwK/A/8Gfwk/Cz8Mvw1/Dr8QfxL/Fb8Yvxv/H78jvyf/K78vPzJ/Nf85Pzu/Pb8+vz9/QH9Bf0L/RL9Gf0j/S79O/1I/VT9X/1r/Xj9h/2X/aj9vv3Z/ff+Ff4w/kj+XP5t/nv+iP6V/qT+tP7C/s7+2v7p/vv/Dv8d/yj/Mf89/0v/WP9h/2f/bP9z/3v/g/+L/5P/nf+o/7D/tv+7/8L/zP/W/9//5//x//4ADAAXAB8AJQArADQAQQBTAGsAiACoAMoA6wEJAScBRQFkAYMBogHCAeICAAIbAjUCUAJtAo0CrQLMAusDCwMvA1IDcgOPA6wDzgPwBA0EIgQwBDsEQQQ3BBYD5gO+A7sD5QQxBIgE3gU3BZ4GEwaLBvoHXQfACC4IogkHCUsJYwlWCS4I9Qi4CH8IVgg9CC0IGQf6B9IHpQd7B1QHLwcNBusGxwagBnQGSAYdBfcF0wWzBZcFhAV6BXUFbQVfBUsFOgUyBTQFPgVKBVQFWwVgBWEFWwVLBTMFGAUFBP8FAwUNBRYFHQUgBRsFCwTwBNAErgSMBF8EIAPPA3IDDwKmAjUBvwFOAPQAtwCTAHgAXgBBACUACv/t/8r/ov95/1X/OP8g/wz+9/7g/sj+sP6b/of+dP5g/k3+O/4q/hr+Cv37/e794f3Q/bz9p/2W/Yz9hP14/Wb9Uv1F/T79Ov0y/Sb9HP0Z/R39I/0m/Sn9Mf09/Ur9VP1e/Wn9ef2J/Zf9o/2x/cT92/3y/gj+H/48/lv+d/6N/p/+s/7N/uv/CP8i/zz/Wv9//6j/0//+ACoAWACKALsA6wEZAUYBcQGeAc8CBgJBAnwCsALdAwUDLwNcA4kDtAPZA/0EIgRLBHcEoQTIBO8FFgVABWoFkwW5Bd0F/gYbBjUGTgZqBooGqwbLBugHBgckB0AHWQdtB4IHnAe7B90H/AgWCC0IRAhcCHUIiwieCLAIwQjSCOMI9QkHCRkJKAk0CTkJOAkxCScJHwkcCRwJHQkbCRcJFQkWCRcJEgkJCP4I+gj6CPkI7gjaCMgIvwi/CL4ItAiiCJUIlwikCKsInwiBCGUIYAh5CKEIugiuCHkILQfhB6kHhwd0B2kHXQdQB0EHMgchBw4G/AbrBt8G2QbXBtQGzQbCBrQGqAajBrsGvwbFBs0G2gbrBvwHDQccBy0HPwdSB2MHcweAB4oHkgeYB58HqQe2B78HxgfMB9YH6Af+CBMIJgg7CFUIdgiXCLYI1wj8CSYJTQlrCYAJlQmvCcsJ4AnrCfMKBQomCkoKZApsCmkKYwpbCk0KOAomCiQKPApkCooKoAqoCqwKuArOCucK/wsXCy8LSQthC3ELdwt1C2sLYQtbC18Lawt4C38Lfgt5C3kLfwuLC5cLoQurC7cLwgvNC9gL6gwODEYMigzPDQoNNw1aDXcNjQ2bDZsNjg15DWINUA1DDTgNKw0YDQUM9wzxDPMM9AzpDM8MrwyWDJYMtAzoDR0NQQ1KDT0NKw0eDRgNEg0FDPIM4wzeDOEM4wzdDNUM1QziDPkNDA0ZDSENLg1ADVUNaA18DZcNvA3lDgwOLw5VDoEOrg7UDvQPFA86D2MPhQ+dD7QP1Q//ECIQLxAoECQQOBBfEIQQlBCSEJEQoRC5EMUQvBCoEJwQnhChEJcQfBBbEEEQLhAbEAUP8g/mD94P0w/CD7EPpw+hD5MPdA9IDyIPCg7+Du8O0g6rDoIOXA4zDgMNzg2dDXcNWQ08DRoM+AzYDLoMmwx3DFAMLAwMC+8L0QuzC5cLgAtsC1gLQAslCwgK7grWCsMKtAqoCp0KkgqICoAKewp5CnYKcwpuCmcKXApOCj4KMAolCh0KEwoHCfwJ9QnyCe8J6QngCdYJzAm/CawJkgl0CVUJNwkbCP8I4gjECKcIiAhmCEMIIAgAB+EHxAepB44HcwdXBzoHHgcFBvEG4wbXBswGvgasBpYGfwZsBmIGZQZwBnsGewZrBksGHwXvBb8FkwVrBUMFGwTxBMYEngR5BFcEMgQIA9wDsQOMA20DUAMwAwwC5gLBAp4CegJUAi4CDAHsAcoBoAFuATcBAwDWAK8AigBkADsAE//r/8b/of97/1T/Kv77/sj+lf5j/jX+C/3i/bj9iv1Y/ST88/zE/Jf8aPw2/AX71vup+3v7SvsY+ub6ufqO+mP6NfoH+dr5rvl++Uz5GPjo+L74l/hv+EP4FPfm97v3kfdo90D3GPbx9sj2nvZ09k32KfYJ9ez10vW59aD1g/Vf9Tf1EfTy9Nj0v/Si9IP0Z/RQ9Dn0HvP+8+DzyvO+87TzpfOO83TzX/NQ80TzOPMo8xjzCfL78uvy2fLK8sDyuvK18q7ypPKa8pHyivKG8oXyhvKK8o3yjPKI8oLygfKE8onyivKJ8ojyivKP8pPylfKX8pzypfKw8rrywPLF8s3y2fLk8uvy7/Lz8vvzB/MT8x7zKPM080PzVPNk83PzgfOR86PzuPPO8+Pz9PQB9A30GfQp9D30U/Rq9IH0lvSq9Lv0yPTW9Ob0+vUP9SP1NfVK9WX1hvWp9cj14vX59hD2KvZG9mT2hPam9sr27/cT9zf3X/eK97j35fgR+Dr4Y/iM+LP42Pj6+Rz5PPle+YH5qPnQ+fP6CvoU+hj6JPpB+m36n/rK+uv7C/s1+3H7w/wm/Jf9Ev2V/hr+mf8H/1r/i/+a/5T/i/+O/5//tf/J/9n/6wAEAB0ALwA4AEUAZACQAKwAlwBH/9X/cP84/y7/Ov9E/0r/WP93/6b/1v/7ABUALQBKAG8AlQC3ANAA3wDoAO8A+QEIARoBKwE8AUwBXAFrAXcBgwGSAaUBuAHFAcoBzAHRAdsB6AH1AgECEwItAksCaAKCAp4CvwLgAvwDEwMuA1sDmQPZBAsEKgRFBG0EpgTiBQ4FHQUYBRMFIAVKBY0F4QY6BowG0AcHBzQHWwd8B5YHqge7B8kH0QfQB8cHvge9B8UH0gfiB/QICAgWCBIH7getB2AHGgbjBrYGigZfBj8GOwZYBosGvgbcBuAG2AbcBwAHRgeYB9gH7QfWB6oHiQeJB6sH3ggKCCAIIggZCA8IBwf5B98HtweIB1sHMAcDBtIGoAZ0BlIGMgYKBdMFjwVFBPwEuAR8BEwEKQQQA/cD3AO+A6UDkgN/A2QDPgMUAvIC2gLIArICmgKFAnsCdwJzAmoCYwJmAnICfAJ7AnYCfAKVArICtwKJAiwBwQFuAUwBUgFqAXoBeQFqAVYBQwEzASQBFQEDAOwA1AC+AK8ApgChAJwAlQCQAI0AjACJAH8AbgBaAEYANAAkABYACP/9//L/5v/X/8T/rv+X/4P/cf9h/1L/Qv8w/xz/A/7n/sr+rP6Q/nT+Vv41/hL97f3K/an9iv1r/Uz9Lf0O/PH81/zD/LX8qvye/I/8ffxq/Fn8TPxB/Dj8L/wl/Br8EPwK/An8CvwG+/z77Pva+8r7vvu0+6r7ofuZ+5T7kPuJ+4D7dPtn+1z7UvtK+0X7Q/tC+0L7QftA+z77O/s3+zP7Lvsq+yj7Jfsj+x/7G/sW+xD7C/sH+wT7A/sC+wH7APsB+wD6/fr4+vP68vr1+vr6/vsB+wf7D/sY+x77Ifsj+yT7J/sq+yz7Lfsv+zX7Ovs++z37Ovs5+zv7PvtB+0H7QPs++zz7Ofs3+zT7MPso+x37EvsM+wr7CfsG+v769fru+uz67vrx+vP69vr8+wT7C/sO+w37DPsP+xX7H/sp+zH7OPs9+0T7TPtV+177aPty+337hvuN+5P7mvui+6v7svu2+7n7wPvM+9r75Pvo++j76fvv+/X7+fv5+/b79/v8/AP8CPwN/BL8G/wk/Cv8L/wy/Df8QvxO/Fv8Zvxx/H78jvyf/K/8vfzI/NP83fzm/O388vz2/Pv9Af0J/RH9Gf0h/Sr9NP0//Uv9WP1o/Xv9jf2e/a/9wv3Z/fX+E/4w/kn+X/5x/oH+kf6h/rL+wv7Q/tv+5v70/wT/Fv8m/zL/Pf9I/1P/Xf9n/3H/ev+B/4b/iP+L/5D/m/+m/7D/tv+6/8D/yf/V/+D/6v/1AAAADAAVAB0AIwArADcARgBaAHMAkgCzANYA9gETAS0BRwFiAYABogHFAeUCAQIZAjMCUAJxApMCsQLMAugDCQMuA1IDcgOOA60D0AP0BBQEKwQ9BEoEUARDBB4D6QO+A7gD5AQ2BJkE/AVfBcUGMgafBwkHcAfcCE4IvAkQCT0JRAkxCRII7gjICKMIhwh3CHIIaghSCCYH7ge2B4UHXQc3Bw4G4AavBnwGSwYdBfUF0wW4BaMFkwWHBXsFbgVZBT4FIwURBREFIAU3BUoFVAVXBVoFXQVcBVIFQAUtBR8FGgUcBSAFIwUhBRYFAwTnBMkEqQSDBEwD/wOeAzMCxwJbAewBfwEdANMAogB/AGEAQwAnABL//v/m/8P/mv9z/1T/PP8n/xD++P7g/sn+s/6d/of+cv5e/kn+Nf4j/hT+Bv35/ev92/3G/bH9nP2M/YH9eP1s/Vz9S/0+/Tb9MP0o/R79F/0U/Rb9GP0a/R/9Kf04/Ub9Uf1b/Wn9fP2P/Z/9rf29/dP96/4C/hb+LP5G/mT+gv6c/rL+yP7h/v3/F/8w/0r/Z/+I/6r/zP/yABwATQB/ALIA4wEUAUQBdAGjAdMCBgI+AngCrALYAwEDKwNYA4UDrQPQA/MEGQRFBHEEmgTCBOoFFgVDBW4FlQW5BdwF/AYZBjEGSgZmBocGqgbOBvEHFgc5B1gHbweCB5cHtAfXB/oIGAgwCEYIXgh2CIwIngivCMAI0wjkCPQJBAkVCScJNglACUMJQgk+CTsJOQk3CTQJLwkoCSAJGgkXCRUJEwkOCQoJCgkNCQ0JBAj2COoI5AjgCNYIwQipCJsInwirCK4InQh/CGwIdQibCMoI5AjaCKsIZggcB9oHpweFB3AHZAdcB1IHRQc0ByIHDwb+BvIG6wboBuMG2QbLBr4Gtga2BtMG0wbSBtYG5Ab4BwwHHAcmBy4HOAdGB1gHbAd+B4oHjgeOB48HmQepB7oHxgfMB9MH4gf3CA0IIwg5CFUIeAigCMgI7gkVCTsJXwl9CZUJrQnICeIJ9woDCgsKGAoxClIKcAqACnwKaApJCisKIAoxCmAKnQrPCuUK4ArRCswK2QrzCw8LKAs9C1ILZAtxC3gLewt6C3ULbgtpC2oLcwt+C4QLgQt7C3cLfguNC50LqAuuC7QLvgvQC+sMEAxADHkMtgzyDScNUg12DZINpg2vDa0NoA2ODXsNbw1nDWENVA0+DSQNDg0EDQINAQz3DOIMyAy5DL8M3g0MDTkNVg1dDVMNQw02DS0NIw0TDQIM9QzxDPEM8QzsDOoM8Q0HDSMNPQ1QDWENdA2LDaANsg3EDdsN/A4jDksOcg6bDsYO7w8SDzAPUA92D54PwQ/cD/cQGRBAEF4QahBpEGwQgxClEL8QwhC4ELQQwxDZEOAQzRCsEJEQhhCFEIAQbhBWED8QLBAcEA0QAQ/4D+8P4g/RD8UPvw+6D6gPhg9cDzoPKA8dDwoO6Q6/DpUObg5HDhsN7Q3GDacNjg1yDVANLg0NDO0MzAymDH8MWww6DBkL9gvVC7kLpQuUC4ELaAtNCzILGQsECvEK4QrSCsUKuAqsCqIKnAqZCpgKlQqNCoEKcQpdCkoKOwoxCigKHwoWCg4KCwoKCgkKBAn9CfcJ8QnmCdMJuAmZCXsJYQlICS4JEgj0CNcIuAiXCHMITggqCAoH7AfSB7kHoQeHB2sHTgc1ByIHEwcGBvYG4QbLBrUGpQabBpkGnQaiBqMGmgaFBmQGOwYRBecFwAWYBW8FRgUcBPYE0wSyBI8EZwQ6BA8D6QPKA64DkANuA0gDIgL+AtkCswKMAmgCSQIqAgQB1AGcAWUBNwERAPEA0ACsAIYAYQA8ABf/8P/G/5v/bf88/wj+1P6j/nf+T/4m/fr9yP2U/WL9NP0H/Nn8qPx1/EX8GPvs+737iPtS+yD69PrL+qD6cfpA+hD54vmz+YP5U/km+P341fiq+Hv4Svgb9/D3yPeh93r3U/cr9wL21/at9oj2Z/ZJ9i32EPX09df1uPWU9W71SfUq9Q/09PTV9Lb0mvSE9G/0VfQ29Bbz/PPr89zzyfOx85jzg/N182jzWvNJ8zjzKPMa8wvy+/Lr8uDy2fLU8s7yx/K/8rjysfKr8qfyp/Kr8q/yrfKn8qHyoPKk8qryq/Ko8qPyo/Kn8qzyrvKw8rXyv/LL8tXy2fLc8uPy7vL68wHzA/MG8w3zGfMm8zHzO/NG81TzZfN184TzkfOg87Lzx/Pd8/P0BvQV9CH0LvQ99FD0Z/R99JH0ovSz9MP00vTh9PD1A/UX9S31Q/Vb9Xf1l/W39dH15fX39gr2JPZE9mf2jPay9tr3A/cq91D3dfea98L36/gU+Dz4YviH+Kv4z/jz+Rf5OPlW+Xb5mvnD+ej5/voD+gD6Bfod+kf6dfqa+rf61Pr7+zD7b/u4/BH8hv0b/cP+Zv7o/zv/Xv9g/1b/U/9f/3X/i/+c/6v/wf/f//0AEQAbACwAUAB8AJEAbgAR/5z/P/8W/xb/Iv8m/yX/Mv9U/4H/pv+9/87/5wAOADoAXwB3AIQAjgCaAKgAuADKAN0A8AEEARUBJQEzAT0BRgFRAWABcQF/AYYBigGQAZsBqwG9AdAB5QH9AhYCLwJLAm0ClAK6AtgC7QL/AxsDRgN5A6gDzwPyBBsESwR5BJcEowSlBK0EyAT9BUoFowX8BksGiwa7BuEG/wcYBywHPwdSB2UHcwd6B3wHfweHB5EHlgeZB6EHtAfKB88HrQdjBwEGoQZQBgcFuwVpBSUFCAUhBW0F1gY/BpcG1gcBByQHRQdiB3IHbwdaB0MHPgdXB4oHxQfyCAYIBgf8B/AH4gfLB6cHdwdFBxgG7wbGBpgGaQY8BhMF6wW9BYQFQwUABL4EgQRLBCAD/wPjA8cDpgODA2QDSwMzAxYC8gLNArECoAKSAoACaQJUAkoCTQJUAlgCUgJBAiUB/wHcAcsB3gISAk8CbgJTAgEBlwE9AQ0BBQEVASkBNQE1ASwBHAEIAPQA4QDPALwApgCSAIEAdwBxAGsAZABeAFoAWgBXAE4APwAsABsADwAG//3/8v/l/9n/zv/D/7T/oP+I/2//V/9D/zP/J/8b/w7+/f7m/sr+rf6R/nX+WP44/hb98/3Q/a39i/1r/Uz9LP0K/Oj8yfyw/J/8lPyJ/Hr8Z/xT/EL8Nfws/CT8G/wR/AX7+vv1+/X7+fv8+/j77Pvc+8v7vPuv+6L7mPuQ+4v7iPuD+3v7cPtj+1f7TftD+zv7Nfsy+zD7MPsv+y77LPsp+yT7IPsb+xf7E/sQ+w77C/sF+v/6+vr3+vj6+vr7+vr6+fr4+vj69/r1+vX6+Pr8+wD7Afr/+v77AfsG+wr7DPsO+w/7FPsZ+x77JPss+zX7PPs/+z37Ovs5+zv7PvtC+0X7R/tI+0j7RvtC+z37Nvss+yH7F/sR+w77DPsH+v/69/ry+vH68vr0+vb6+fr/+wb7C/sO+w77D/sV+x77KPsy+zr7P/tE+0n7TvtT+1r7Yftr+3X7gPuJ+5H7mvuk+677tfu6+777xPvP+9v75Pvn++j76vvw+/b7+Pv3+/X79/v9/AX8C/wP/BT8G/wk/Cz8MPw0/Dz8SPxX/GX8b/x4/IH8jvye/K78vPzI/NL82vzi/On87/z1/Pz9A/0L/RP9GP0d/ST9Lf04/Ub9Vf1m/Xn9jP2e/a/9wf3Y/fT+Ev4w/kr+X/5x/oP+lP6l/rb+xv7U/uL+7/78/wn/F/8m/zX/Q/9O/1f/X/9p/3T/f/+G/4n/if+K/5D/mv+m/7D/t/++/8b/0P/b/+j/8//+AAgAEQAZACAAKAAyAD8AUQBnAIMAoQDAAN8A/AEXATABSAFhAX0BnQG/Ad0B9wIPAisCTAJxApICrgLGAuEDAgMoA0wDbAOKA6oDzgP0BBYEMARFBFQEWARJBCED7APCA70D7ARJBMAFPAWvBhUGcAbEBxoHfQfuCGYIzgkQCSYJGQkBCO8I5wjjCNwI1wjXCNsI1wi8CIUIPAfyB7EHeQdDBwoGzwaWBmMGMwYFBd0FvQWoBZsFkAWBBW8FXAVHBS0FEgUABQIFGQU3BU0FUQVIBT8FPwVHBUwFSQU/BTUFLQUmBR4FFgUPBQYE+ATjBMUEnQRoBB4DvgNOAtoCaQH+AZkBOgDsALIAigBoAEcAJgAO//3/7//Y/7f/kv9z/1z/SP8x/xX++f7g/sr+tf6d/oX+bv5a/kb+M/4g/hD+Av31/eX90v29/an9l/2I/X39cf1k/Vb9R/05/S39Iv0Z/RP9Ef0R/RH9EP0P/RP9Hf0s/Tr9R/1U/Wb9fP2S/aX9t/3L/eL9+f4N/h7+MP5J/mj+iv6o/sP+2/7z/wv/I/88/1j/df+R/6v/xP/iAAkAOgBuAKIA1AEIAT0BcQGhAdECBAI9AncCrQLZAwADJwNQA3gDnAO+A+IECwQ3BGEEiASwBNwFCwU6BWIFgwWiBcMF5gYGBiMGQAZhBocGrwbWBv4HJgdMB2wHggeTB6gHxgfqCAwIKAhACFcIcAiICJsIqwi7CM8I5Qj5CQkJGQkrCT8JTglUCVMJUAlQCVIJVAlRCUkJPwkzCSYJGwkSCQ4JDQkQCRMJFwkYCRUJEQkPCRAJEgkNCPkI2gi/CLMIuQjDCMAIpwiHCHMIdgiMCKMIrAiiCIkIZQg3CAIHzQegB4MHcQdmB1sHTgdABzMHJgcYBwoHAAb4Bu8G5QbYBs8GzQbQBuAG3QbaBt4G6gb8Bw0HGwcmBzAHOgdEB1AHYAd0B4YHkAeRB48HlQejB7YHxAfLB9EH3AfwCAcIIQg8CF0IhgizCN8JBgkpCUsJbQmNCasJxwniCfwKEAogCiwKOwpPCmQKdgp6Cm4KVQo6Ci4KQgp7CswLFwtAC0ELJgsLCwMLDgsiCzMLQAtMC1sLagt1C30LhAuKC4wLiAt/C3cLdgt8C4MLhQuDC4ILiQuWC6ILqAupC64LvwveDAsMPQxwDKEM0g0EDTYNZQ2MDagNuA28DbgNsA2nDaANnA2ZDZINgQ1mDUUNJg0RDQcNAQz6DO4M4QzcDOQM+Q0WDTINRQ1LDUUNOg0wDScNIA0WDQsNAw0ADP8M/gz9DQMNFQ00DVkNeQ2SDacNvQ3WDe4OAQ4SDiYORA5qDpQOvQ7lDwsPLQ9MD2kPig+xD9kP/BAWECwQQxBeEHgQjBCdELIQyxDhEOgQ3RDOEMsQ2BDoEOcQ0BCuEJMQhxCFEIEQdRBjEE4QOhApEB0QFhAREAkP+Q/nD9sP1g/PD7sPlg9sD0wPOw8wDxwO+Q7ODqMOfQ5aDjYOEw31Dd0NxQ2pDYcNZA1CDR8M+gzSDKoMhwxlDEIMHAv7C+ELzwu/C6kLjAttC1ILPAsqCxkLCAr4CugK2grMCsAKuAq1CrQKsAqoCpoKhgpxCl0KTgpECjwKNAosCiYKIwoiCiAKHAoYChUKEQoICfYJ3Am/CaQJjAl0CVkJPAkdCP4I3wi+CJoIdwhUCDQIFQf6B+EHywe1B5wHggdpB1UHQwcyBxwHAwbrBtkG0QbQBtEG0QbNBsMGswacBn4GWgYzBg0F6QXEBZ4FdwVQBSwFCgTnBMEElwRsBEYEKAQNA/ID0gOsA4QDXQM5AxMC7ALGAqMCgwJhAjcCAgHLAZoBdQFZAT4BHQD3AM8AqgCGAGIAOgAO/9//rv96/0X/EP7h/rj+kv5o/jj+A/3P/aD9df1L/Rz86fy3/If8XPwv+/37xvuP+137MvsK+t/6sPp++k36HPns+b35kPln+UD5GPjq+Lj4hfhW+Cz4BPfd97X3jfdk9zv3EPbo9sT2pPaI9mz2T/Yw9hH18PXO9av1ivVs9VD1MfUP9O30z/S29J/0hPRk9EX0K/QX9ATz7vPW877zqvOb847zfvNt81zzTfNA8zHzH/MN8v/y9vLw8ury4/Lc8tTyzfLI8sTyxvLJ8szyyvLD8r3yvfLD8svyzfLJ8sPywfLE8snyzfLP8tTy3vLp8vLy9PL18vnzA/MP8xfzGvMc8yLzLfM780fzUvNf82/zf/OO85vzpvO088Xz2vPw9AX0GfQo9DX0QPRP9GL0d/SL9Jz0q/S69Mr02/Tr9Pv1DPUh9Tn1U/Vu9Yn1pfW/9dT15fX39g/2MPZW9n72o/bI9u73F/dA92X3h/em98b36vgQ+Dj4XfiB+KP4xvjq+Q/5MPlN+Wr5i/mx+dT57Pn0+fT5+voO+i76Tvpm+nr6l/rC+vb7KPtZ+5z8CPyn/Wn+Jv62/wf/Iv8f/xz/KP9C/1//df+C/43/oP+6/9H/4P/tAAoAPQByAIQAU//n/2z/FP70/vr/A/8B/vz/C/8w/1v/d/+C/4v/pf/SAAIAIwAyADcAPwBOAGEAdQCLAKIAuQDNANsA5QDtAPYBAQENARsBKgE3AUABRgFMAVgBawGDAZwBswHJAd8B9wIVAjoCYwKKAqcCugLIAtwC+wMkA1ADeAOeA8QD6QQJBCAELQQ3BEoEbgSpBPgFUgWsBfoGNwZmBooGqQbCBtcG6Qb3BwUHEAccByoHPAdOB1cHUwdLB00HYweBB4wHagcZBq4GRQXoBY4FLATHBHYEWwSGBO8FfAYOBooG4QcQBxwHEwcDBvMG5wbeBt0G7gcZB1kHngfVB/IH9gfsB90HyAepB3sHRAcNBt4GuAaTBmkGNgX+BccFlQVlBTUFAgTNBJcEYQQwBAcD5APEA6EDeQNOAycDBwLrAtACtAKaAoUCdAJiAk0CNwInAiQCKwI2AjsCMwIaAfEBvwGPAXIBdAGVAcYB7wH5Ad4BqAFlAScA9gDZANAA2ADnAPIA8ADgAMkAsQCcAIoAeABmAFcATQBFADwAMgAqACYAJwAnACEAEv/+/+z/4//g/97/2P/N/7//sf+m/5r/iP9x/1b/Ov8j/xL/B/8B/vr+8P7e/sb+qv6N/nD+VP42/hf99P3Q/av9h/1l/Uf9Kv0K/Of8w/yl/I/8gfx1/GX8Uvw9/Cv8HfwT/Az8Bfv++/X77Pvl++L75Pvn++j75PvZ+8v7u/uq+5v7j/uH+4P7gPt8+3T7avtf+1X7SvtA+zT7Kvsj+x/7Hfsc+xr7FvsS+w77CvsG+wL6//r9+v36/Pr4+vP67/ru+vD68/r1+vP68frw+vD68Prx+vL69vr7+v/6//r7+vj69vr2+vf6+Pr5+vz7AfsH+w77Fvsg+yv7M/s3+zf7Nfs1+zn7PftC+0f7S/tQ+1L7UPtK+0L7Ofsv+yb7HfsW+xD7CvsD+vz69/r1+vX69vr3+vf6+fr8+wD7AvsE+wj7EPsa+yX7L/s2+z37Q/tJ+0/7VPtY+137Yvtq+3T7f/uK+5T7nPul+637tfu6+7/7xvvO+9n74vvo++z77/vz+/X79vv1+/b7+/wD/Ar8D/wR/BT8G/wk/Cz8M/w6/EP8UPxh/G/8e/yD/Iv8lPyh/LD8v/zM/Nb83vzl/Oz88/z6/QH9Cf0R/Rb9Gf0b/SH9K/04/UX9UP1c/Wn9e/2O/aP9uf3T/fH+Ev4y/kz+YP5w/oH+kv6h/q/+vf7M/t7+7v78/wf/Ev8g/zH/Qv9R/1z/ZP9u/3n/g/+K/47/kf+W/5//qv+1/7//x//Q/9r/5f/w//sABwARABsAIgAnAC0ANQBAAFAAZAB9AJgAsgDKAOIA+gEVAS8BSQFiAX0BmgG5AdQB7QIHAiUCSQJvApACqwLFAuMDBwMtA1ADbwOOA7ED1wP8BB0EOARPBF4EXwRLBCQD9QPTA9UECQRuBPUFhwYLBnEGuAbwBzAHiQf8CHUI1wkKCQsI7wjUCM0I3Qj3CRAJJQk4CUcJRQkjCN4IgwgjB80HfgcxBuIGmwZjBjsGGAXyBckFpgWSBYkFgQVyBV0FRwU0BSAFDAT+BQMFHQU/BVQFUgU+BSkFIQUoBTMFPAU+BTwFMwUhBQkE8gTkBOEE4ATTBLEEegQuA88DYQLrAnQCBgGgAUUA9gC4AIsAawBMAC0AD//5/+v/3f/I/6r/jP92/2X/Uv83/xf++f7i/s7+uP6d/oL+a/5Z/kn+OP4l/hP+A/30/eL9zv24/aX9lf2H/Xn9a/1e/VD9Qv00/SX9GP0P/Qz9Df0P/Q/9C/0J/Qv9Ff0i/S/9Pf1N/WH9eP2Q/af9vv3W/e7+BP4U/iD+L/5F/mX+iP6q/sj+4f73/wz/If85/1b/df+R/6n/v//aAAAALwBiAJUAxwD7ATEBZgGYAckB/gI5AnUCqwLYAvwDHwNDA2cDigOvA9YEAQQsBFMEeASgBM4E/wUsBU8FawWIBaoF0AX1BhcGOgZgBosGtQbeBwUHLAdSB3IHigeeB7YH1Qf4CBkIMwhLCGQIfgiVCKUItAjHCOEI/QkUCSUJNQlJCV0JaglrCWQJXQleCWMJZglhCVcJSglACTUJKQkeCRYJFgkdCSUJJwkkCR0JGgkfCSkJMQkrCRMI8wjZCNII2QjfCNYIvAifCIkIfwh5CHEIZghfCF4IXAhJCCIH7Qe8B5kHhAd2B2kHXgdWB1IHSwc/By4HHAcNBwAG9QbqBuMG4QbiBt0G2QbbBuMG7gb3Bv4HCAcZBzAHRAdPB1IHWAdnB34HkgebB5sHnAelB7QHwgfMB9UH4gf3CBEILghOCHQIoAjPCPsJIQlCCWEJgwmlCcQJ4Qn6ChEKJwo7ClAKZAp0Cn4KfApwClsKRwpAClMKiArXCyoLZgt4C2QLQQspCycLNQtDC0gLSQtPC1wLbQt8C4cLkQuZC50LmAuKC3wLdgt7C4ULjQuRC5QLmguiC6kLqwutC7cL0Av5DCwMXwyMDLMM2w0JDT8NdQ2iDb4NyA3HDcINwA3DDcYNyA3EDbgNoA1/DVcNMQ0TDQIM+wz5DPkM+Qz6DPwNAQ0KDRYNIA0lDSINGQ0ODQcNBA0EDQUNCA0MDRINFw0fDS4NSQ1wDZkNvA3UDecN/A4YDjUOTg5hDnYOkg63DuEPBw8oD0UPYA99D50PwQ/pEBEQMxBKEFQQWhBiEHUQlBC7EOAQ+RD+EPMQ4xDcEOIQ7hDwEOIQxhCsEJwQlxCWEJAQhBB0EGEQTBA5ECwQJxAmEB8QDw/6D+wP5Q/fD8sPpg99D14PTw9GDzUPFA7oDrsOkw5xDlIOOA4hDg0N9g3ZDbgNlg1zDU4NJgz7DNMMrwyODG0MSwwtDBcMBAvuC9ALrAuJC24LXAtNCz4LLAsaCwgK+ArpCt0K1QrRCs8KywrCCrQKoQqNCnsKbApiClsKVApMCkUKQAo9CjkKNgoyCjAKLAojChMJ/QnlCc0JtgmeCYIJYwlDCSMJAwjgCL4IngiACGIIRAgmCAwH9gfiB80HtQebB4MHbAdWBz4HJAcPBwMHAQcEBwUG/gbwBt8GzAa3BpwGfAZYBjMGEQXwBc4FrAWHBWIFPQUYBPEEygSlBIQEaQRQBDMEEAPnA74DlwNyA00DJgMAAtwCuQKSAmQCMAIAAdoBwAGrAZEBbAFBARUA7ADIAKIAeQBNAB7/7f+5/4P/UP8j/vv+0/6n/nT+P/4N/eH9uf2O/V79Kvz2/Mf8m/xt/Dv8BfvQ+6D7dftL+x/68PrA+o/6Xvot+f750vmq+YX5XPkt+Pr4xviX+G34Rvge9/X3y/eh93f3Tfck9v723fa/9qT2iPZr9kv2KvYK9er1zfWx9ZL1cfVM9Sn1CPTq9M30r/SR9HT0XPRH9DH0GfP/8+fz1PPE87XzpPOR84HzcvNl81bzRPMx8yLzGPMR8wnzAPL28u3y5/Lk8uTy5fLn8ufy5PLf8tzy3vLk8uvy7vLs8ujy5/Lq8u3y8PLx8vTy+/ME8wvzDvMQ8xTzHfMo8zDzNfM48z7zSPNT817zavN384jzmPOm87LzvfPL89zz8PQG9Bv0LPQ69EX0T/Rc9G/0hPSY9Kj0t/TG9Nj06vT59Qf1F/Us9Uf1ZPWA9Zn1sPXF9dj16/YD9iP2SvZ09pr2vPbb9vz3IvdK9273jver98r37PgS+Dn4Xfh++J34vfjf+QH5IvlA+V35fPme+b/51/nj+en58voE+hr6LPo1+kD6WfqF+rn65/sN+0D7nvw5/P79w/5e/rf+2/7m/vT/EP81/1b/af9z/3z/i/+e/63/tf/C/+QAHQBUAGAAJv+z/zb+4f7E/sr+0f7M/sf+2P7+/yb/Pv9E/03/af+X/8X/4v/r/+3/8wADABcALwBIAGUAfwCQAJYAmACcAKgAuQDJANcA5ADvAPkBAgEKARYBKQFCAV8BeQGQAacBwAHfAgICJwJJAmQCeAKKAp4CuwLeAwUDKgNMA2oDhgOfA7UDyQPcA/YEHgRYBKYE/wVZBaYF4gYQBjYGWQZ5BpIGogaqBq0Gswa/BtUG8AcGBwsHAwb7BwYHKAdMB1IHJAbJBlwF9wWfBUYE5ASEBEoEUQSfBSAFsQY1BpsG2wbxBuQGwQadBoUGfgaFBpUGswblBysHdge0B9YH2wfOB7sHogeBB1IHGAbeBq4GigZoBj8GBwXFBYMFSgUdBPkE1QSrBH0ETgQjA/oD0wOoA3gDRwMZAvACzgKzApwCigJ7AmoCVAI4AhoCAwH6Af4CCAIPAgoB+gHgAcABnAF3AVYBPgE4AUkBcQGlAdIB4gHIAYQBKQDUAJ4AjQCXAKsAtgCxAKEAiwB1AF8ASwA4ACkAHwAYAA8ABP/6//T/9f/4//b/6f/V/8P/uf+5/73/vf+0/6T/kv+C/3L/YP9K/zL/Gf8E/vT+6v7k/uD+2f7L/rb+mv58/l7+Qv4o/g397/3L/aT9fP1Y/Tz9I/0I/Oj8xPyh/IX8cfxh/FH8Pvwq/Bf8B/v6+/L77Pvo++T73fvV+8/7zfvP+9P71fvR+8b7tvuj+5L7hft9+3r7d/tx+2j7XvtU+0v7Qvs4+yv7H/sV+w/7DPsI+wP6/Pr2+vH67/rt+uz66/rs+u367vrt+ur66frp+ur67Prr+uj65frk+uT65frl+ub66frt+vL69Pr0+vL67/rt+uv66/rt+vL6+fr/+wT7CfsR+xr7Ivsn+yn7K/sw+zf7PvtD+0j7TPtR+1T7U/tN+0T7PPs1+y/7KPsg+xX7C/sB+vv6+Pr4+vr6+vr6+vr6+/r7+vz6/fr/+wf7E/sg+yv7M/s5+z77RvtO+1b7Xfti+2b7a/tx+3r7hvuR+5v7ovuo+677tfu9+8P7yfvP+9j74/vt+/P79vv2+/X79Pv1+/n8AfwJ/A/8E/wV/Bf8Hfwk/C38Nvw//En8Vvxl/HP8gfyM/JX8nvyo/LT8wfzN/Nf84Pzo/O/89vz8/QL9Cf0Q/RT9Ff0Y/R79Kf02/UD9Rv1M/Vj9bf2I/aX9wP3b/fr+G/46/lP+Zf5z/oL+kv6g/qz+t/7F/tf+6v75/wT/Dv8b/y3/Qf9R/17/af91/4L/jP+S/5b/nf+o/7X/wf/L/9T/3v/p//P//AAFAA8AGwAnADEANwA9AEMATABYAGkAfgCWAK4AwwDVAOYA/AEXATQBUAFrAYYBowHBAd0B9wITAjMCVwJ7ApwCuwLcAv8DJQNIA2gDhgOoA8wD8AQQBCwERgRdBGsEZwRPBCsEBwP1BAIEOwSjBTEFzwZcBsAG+AcaB0cHlggFCHwI1Qj7CPEIzwi1CLUI0Aj4CSEJRglpCYQJiQloCR0ItwhLB+YHhgcmBsgGdwZCBiUGDwXvBcMFmQV/BXYFcQVlBVEFOwUpBRkFCAT9BQEFGQU6BVIFUgU+BScFGgUZBR8FJwUtBS4FJAUJBOAEugSnBKcErQSjBHkEMAPQA2QC8gKAAhEBqwFPAP8AvACKAGYATAAzABf//f/p/9r/zP+3/57/hv91/2b/Uv81/xT++P7k/tP+vf6h/oX+cP5i/lX+Rf4y/h/+D/3//ez91f2+/ar9mv2K/Xr9af1Y/Ur9PP0u/SD9E/0M/Qr9Cv0J/Qb9Av0B/QX9D/0b/Sn9N/1H/Vz9c/2M/aT9vP3X/fD+Bf4T/h/+Lf5C/l/+f/6g/r/+2v7w/wL/FP8o/0T/Zv+I/6b/wv/gAAYAMwBkAJQAxQD4AS4BYwGVAccB/AI2AnECpgLRAvUDFwM5A10DggOpA9ID/gQnBEwEbwSXBMQE9AUeBT8FWwV7BaMFzgX3BhwGQQZpBpQGvQbiBwUHKQdPB3MHkQesB8kH6ggMCCoIQghZCHEIiQidCKsIuQjQCPAJEgkuCUEJUQliCXMJfQl6CW8JZglnCW0JbwlqCWAJVglRCU0JRQk6CTEJLwk1CTwJPQk2CSsJJAknCTAJNgkuCRcI+wjoCOMI6AjqCOAIzgi7CKwIngiKCHIIYwhkCHIIeghoCDoH/wfNB60HngeTB4cHfgd5B3gHcgdjB0wHNQcjBxUHCQb9BvIG6gbjBscGxQbQBuQG9Qb6BvcG+gcOBzAHUQdiB2EHXAdkB3oHkwejB6gHqAeuB7sHygfZB+gH+wgUCDIIUQhxCJcIwgjwCRoJPwlhCYIJpAnFCeEJ+AoNCiMKOwpVCm0KgQqNCo0KggpwCmAKXQpvCpoK2QsgC1sLdwtvC08LMAskCy0LQAtNC08LTQtSC18LcguAC4oLkAuUC5ULjwuEC3oLeAuAC40LmAufC6QLqQuvC7QLuQvBC9IL7wwXDEMMbgyTDLcM3w0RDUwNhw23DdIN2Q3TDc0NzQ3UDdkN2Q3PDbsNnw17DVMNKw0KDPcM8gz4DQENCQ0KDQQM/Az4DPsNAQ0FDQAM9AzmDN4M3gzmDPMNBA0XDSsNPg1SDWkNiQ2xDdkN+g4ODh4OMg5QDnQOlQ6vDsYO4Q8EDykPSQ9hD3UPjQ+sD9AP9hAcEEIQYxB5EH4QdBBrEHUQmRDNEPkRCRD9EOUQ2hDlEPsRBxD6ENgQtRCiEKAQoxChEJYQiRB8EG8QXRBJEDkQMxAxECoQGBACD/MP8A/uD98Pvw+ZD30Pcg9vD2MPRA8WDuIOsg6LDmwOVg5EDjIOHA3/Dd8NvQ2aDXUNSw0gDPgM1Qy3DJoMfgxmDFAMOgwcC/YLzgusC5ULhgt4C2YLUgs8CygLFgsGCvoK8grvCuwK5wrdCs8KvwqtCpwKjwqFCn4KeApxCmsKZQpgClsKVQpQCkoKQwo6Ci0KGwoHCfMJ3gnGCasJjQluCU0JKgkGCOMIxQirCJIIdghYCDwIJQgSB/4H5QfHB6gHjAd0B14HSgc8BzcHNwc4BzMHJgcTBv8G7AbZBsIGpAaBBl0GPAYdBf8F3gW5BZIFawVHBSQFBATkBMcEqgSOBG4ESgQhA/cDzwOpA4QDYAM6AxMC6wLAApICZgJAAiUCEQH8Ad4BtgGHAVoBMAEIAN4AsgCEAFYAJ//3/8X/lf9q/0H/F/7o/rT+gP5Q/ib9/v3R/Z/9af02/Qb82Pyq/Hn8RvwV++X7t/uJ+1r7Kvr7+sz6nfpu+kD6Ffnt+cX5mvlp+TX5AvjU+Kv4hPhe+DX4C/fg97b3jPdi9zn3FPb19tr2wPaj9oT2YfZA9iL2B/Xr9c31q/WH9WT1QvUh9P/03/TD9Kr0lfR+9GP0RPQm9A7z+/Pt893zy/O386TzlPOG83fzZvNV80fzPfM28y3zIvMW8w3zCvML8wzzC/MH8wPzAPMB8wPzB/ML8w7zD/MP8w/zD/MQ8xLzEvMS8xTzGfMg8ybzKvMt8zLzOfNB80jzTfNT81rzZPNt83bzf/OM85vzqvO588Xz0fPf8/D0BfQa9C70P/RM9Fb0YPRt9ID0lPSo9Lj0xvTW9Oj0+fUH9RT1I/U69Vb1dPWO9aT1uPXM9eP1/PYa9j72ZvaN9q/2zPbn9wX3J/dK92v3ifep98v38fgX+Dr4W/h4+JX4s/jT+PT5FPk0+VP5cfmQ+a35wvnP+db54Pnw+gL6D/oT+hj6KvpQ+oL6sfrY+wP7UPvP/Hz9NP3T/kT+if62/uH/D/87/1v/av9u/3L/fv+P/53/p/+z/8//+QAcABb/0/9g/uj+mP59/oL+i/6K/or+mv67/t/+9v8B/xH/MP9d/4f/n/+m/6f/rf+6/83/5QADACMAPgBMAE0ATABUAGcAfwCRAJoAoACpALYAwwDOANkA6QEBAR0BOgFWAXABiwGoAccB5QIAAhkCMAJFAl0CeQKbAsAC5QMFAyADNwNPA2cDgQOaA7cD3gQYBGUEwAUaBWUFnQXFBegGCwYtBkkGWQZdBlwGYAZvBokGpAazBrEGqAatBtEHCgc3BzQG9AaJBhgFugVtBSAEzgSNBIAEuwUwBbkGLgZ+BqkGuAaxBpUGbgZKBjcGOwZPBm0GlQbLBw0HUgeIB6QHpQeUB34HZwdKByAG6gawBn4GVwY2Bg8F2gWYBVYFIAT5BNsEuwSVBGsEQwQeA/cDxgOJA0gDDgLhAsACpgKNAnkCagJeAk0CMAIKAeUBzgHLAdYB4gHhAdEBtQGYAYEBbwFcAUABGgD3AO0BCwFSAagB5wHyAcABZQEDALMAhABwAG0AcAByAHEAaABYAD8AJAAL//n/7v/o/+H/1//N/8X/wv/F/8X/vv+v/57/lP+U/5r/nf+X/4f/cv9b/0X/MP8a/wX+8v7i/tT+yv7D/r7+uf6u/pv+gP5g/kD+JP4O/fr94v3C/Zr9b/1J/Sv9Fv0B/Of8xfyg/H/8ZfxQ/D78LPwZ/Ab79Pvl+9r71PvQ+877yvvE+737uvu7+8D7xPvE+7z7rfub+4n7fPt0+2/7avti+1f7TPtD+zv7NPsr+yD7FPsK+wL6/Pr2+u/65vre+tn61vrW+tb61/rX+tj62fra+tz63vrh+uL64Prc+tf60/rS+tL60frR+tL61vrc+uL65vrp+ur66vro+uX65frp+vD6+fsA+wP7BfsJ+w77FPsY+xv7IPsp+zT7PftD+0X7R/tK+037TvtL+0f7Q/tB+z37OPsv+yL7FPsI+wH6//r/+wD6//r++v76/vr/+wD7AvsG+w/7G/sn+zH7OPs++0X7TftW+177Zftq+2/7c/t6+4P7jvuZ+6L7qPus+7L7u/vE+8v70fvW+9776fvz+/n7+vv4+/X79fv5+//8BfwM/BL8F/wb/B/8I/wp/DD8OvxE/E/8Wvxm/HP8gPyN/Jn8ovyr/LP8vPzF/ND82/zm/O/89fz4/Pv9AP0F/Qn9C/0N/RP9Hv0r/TX9O/1G/Vv9ff2l/cv95/3+/hX+L/5J/l7+bf55/ob+lf6k/rD+uv7H/tj+6v75/wP/Df8a/yv/Pf9L/1f/Y/9x/4D/i/+R/5X/nf+q/7j/xP/O/9j/5P/x//wAAwAJABEAHQArADcAQQBKAFQAYABuAH8AkwCpAMAA0wDlAPcBDgEqAUgBZAF/AZsBuwHcAfsCGAI1AlUCeQKcAr0C3wMEAysDUANvA4sDqQPMA/AEDwQmBDwEVARrBHgEcARVBDUEIAQgBDsEeATeBWoGCAaVBvUHIwc3B1gHnwgICHYIxQjiCNYIuAilCKkIwgjlCQkJLwlYCYAJlQmDCUQI5Ah6CBcHuAdWBvAGlgZWBjIGGQX1BcMFkAVvBWUFYwVcBUkFMwUeBQwE/ATwBPMFCQUqBUYFTwVEBTIFIQUVBQ0FCQUKBQsFAQTkBLYEiQRwBGwEawRVBBsDwANUAuYCewIUAbMBWgEMAMoAlABrAE0ANgAgAAj/8P/d/83/vf+p/5L/fv9u/1//Sv8t/w/+9/7m/tb+w/6q/pL+gf51/mj+V/5D/jH+Iv4T/gD96P3P/bn9p/2X/YX9cf1c/Un9Of0p/Rv9EP0K/Qf9A/z+/Pj89Pz2/P79Cf0V/SH9MP1C/Vf9bv2F/Zz9tf3O/ef9/f4P/h7+MP5F/l7+ef6W/rT+0P7p/v3/Df8f/zr/XP+D/6j/yv/sABIAPQBsAJsAzAD/ATQBaQGcAc0CAQI3Am0CoALMAvIDFwM7A2ADhgOtA9cEAgQpBE4EcQSYBMIE7QUUBTUFVgV+Ba0F3QYIBi4GUgZ5BqIGyAbpBwkHLQdUB3wHoAfAB+EIAwgjCD4IUwhoCH0IkgiiCK4IvQjWCPoJIQlBCVYJZgl1CYIJiAmDCXgJcAlxCXcJegl3CXAJawlqCWkJZAlbCVEJTQlOCVEJUAlICTsJMgkvCTAJLwklCRII/QjvCOsI7AjrCOQI2wjTCMsIvgiqCJgIkgibCKkIowh9CD4H/wfVB8QHvwe4B60HogebB5YHigd1B1wHRgc1BycHGAcGBvQG4gbSBqcGpwa8BuIHCgcfByAHHAclB0EHYQd0B3QHbgdyB4QHnAetB7UHugfEB9UH5wf5CAsIIwg/CF4IewiZCLsI4wkNCTYJWgl9CaAJwgngCfcKCgoeCjcKUwpsCn4KiQqMCokKggp+CoIKlQq4CugLHAtJC2ILZAtQCzULIQseCywLPgtKC04LTwtWC2QLcwt8C34LfQt7C3oLeAt4C3kLgAuMC5gLogupC68LtQu7C8MLzgveC/QMEAwwDFIMcwyWDL0M6g0hDV8NnA3MDeYN6g3hDdYN0g3TDdINyg25DaMNiA1oDUQNHwz+DOsM5wzwDP0NBg0GDP8M9QzvDPEM9wz5DPIM4wzRDMcMyAzUDOgNBA0kDUcNaQ2HDaQNxA3qDhAOLw5EDlUOaw6NDrYO3A76DxIPLQ9ND2wPhA+VD6YPvw/iEAgQKRBGEGYQiBCkEKwQnRCJEIoQqxDgEQkRDRDwENEQzhDtERQRIBEEENIQqBCaEKIQqhCjEJIQgRB5EHQQahBaEEoQQRA7EDAQGhAED/gP+xAAD/gP3g+7D6MPnA+fD5gPew9KDw8O1w6pDocOcA5fDk8OOg4fDf8N3A25DZMNbA1EDR8M/gziDMgMsQybDIQMaAxGDB8L+wvfC8oLugunC5ELeAtgC0oLNQsjCxcLEAsOCwsLBAr5CusK2wrLCrwKsAqmCqAKmwqWCpIKjQqJCoMKewpyCmgKXwpUCkgKOQooChYKAgnrCdMJuAmaCXoJVgkvCQsI7AjTCLwIowiICG0IVghCCCwIEAftB8oHrAeWB4YHfAd1B3MHcQdsB2AHTQc4ByUHEwcBBuoGzQasBooGawZNBi8GDQXnBb8FmQV4BVwFQgUmBQgE6ATHBKUEgQRZBC8EBgPfA7oDlwNxA0gDGwLvAsYCpAKLAnYCYQJFAh8B8wHHAZ0BdAFKARwA6wC6AIsAXwAzAAb/2f+u/4P/V/8n/vT+w/6V/mr+QP4R/d79qv13/Uf9F/zo/Lj8iPxX/Cf79vvE+5L7Yfsy+wT61vqq+n/6Vfor+gD50fmf+Wv5OvkN+OX4wPic+HT4Svge9/P3yPef93f3Uvcy9xf2/fbf9rz2l/Zz9lT2OvYg9gL14PW99Zr1d/VT9TD1EfT49OT00PS29JT0b/RM9DL0IfQU9Afz9fPg88rzt/On85nzifN582vzYfNa81HzRvM78zTzNPM48znzM/Mp8yDzH/Ml8yzzMfMx8zDzMPMz8zbzN/M18zPzMvM08zjzPvNE80nzTPNO81DzU/NY813zY/Nq83Lze/OF847zl/Oi87DzvvPM89nz5fPz9AP0FvQq9D/0UfRg9Gv0d/SF9Jf0qvS69Mf00/Th9PH1AvUS9SD1MfVJ9WX1gfWZ9a31wfXZ9fT2EvYz9lb2evac9rv21vbx9w73LfdK92X3gvej98n38PgV+DT4UPhs+Ir4qvjL+Oz5Dfkt+Uv5aPmD+Zr5rfm5+cD5yPnX+er5/PoF+gn6Efoq+lT6hfqz+t/7Gftz+/L8iv0m/bL+Jf6D/tP/F/9L/2z/eP92/3P/dv+E/5j/rf/A/9T/5v/o/8X/dP8D/pT+Sf4u/jP+QP5H/kz+Wf5y/pD+qf6//tn+/f8m/0f/W/9i/2b/bP93/4f/n/+9/9//+QAGAAgADAAdADkAUwBgAGIAYgBpAHkAigCXAKEArgDDAN8A/gEcATcBUgFtAYcBoAG5AdIB6QIAAhcCMgJSAnkCogLHAuUC/wMYAzMDTwNqA4YDrAPkBDEEjQTmBS8FYQWDBZ4FuwXbBfYGCAYPBhMGGwYvBkoGXwZjBlgGUQZmBqMG8gcpByEG0wZdBegFjAVFBQQEyASrBM0FMgW8BjgGggaVBoYGbgZVBjoGGwYBBfcGBAYmBlQGiAbABvoHLgdTB2IHXAdLBzgHJAcLBucGtQZ8BkYGHAX6BdkFrgV6BUQFFwT1BNYEsgSIBF8EPQQfA/kDvgNvAxwC2wKzAp4CjAJ2Al0CSAI2AiECAQHXAbEBnQGfAa0BtwGwAZcBdQFUAT8BNQEsARkA9QDMALIAuwDrATABbgGNAYcBZgE2AP4AvwCAAEoAKwAlADAAOgA1ACEAA//n/9L/xP+8/7X/rP+h/5f/kP+O/47/i/+C/3b/bf9q/27/cv9u/2D/Sv8x/xj/Af7r/tf+x/65/q3+ov6Y/pL+jf6G/nj+YP4//h7+Av3v/eD9z/20/Y79Yv05/Rr9Bfz0/N78wfyf/Hz8XvxF/DD8G/wH+/T74/vT+8f7v/u6+7f7tfuy+6/7rvuu+7D7svuy+637ovuT+4P7dftq+2L7WPtN+0D7NPsr+yX7Ifsc+xX7C/sA+vf68Prp+uL62vrS+sz6x/rE+sL6wfrA+r/6v/rC+sf6zvrU+tb61PrO+sj6w/q/+rz6uvq7+r/6xvrO+tX62frc+t763/rg+uD64frm+u769/r/+wT7B/sK+w77EPsS+xT7Gfsj+y/7Ofs++0D7QPtB+0T7R/tJ+0v7S/tL+0j7Q/s5+yz7H/sU+wz7CfsI+wj7BvsD+wH7AvsF+wn7DvsV+x77J/sw+zj7P/tG+077V/tf+2b7bPtx+3f7fPuC+4r7lPue+6f7rfuy+7n7w/vN+9X72vvf++b78Pv5+/37/Pv5+/j7+/wB/AX8CPwL/BD8GPwg/Cf8K/wv/Db8QPxL/Ff8Yfxp/HP8fvyK/JT8nfyk/Kr8sPy5/MT80vzg/Ov88fzy/PL89Pz6/P/9Af0C/QX9Df0Y/SP9MP1F/Wn9mv3O/ff+EP4e/ir+O/5P/mD+a/51/oH+kP6g/q7+uf7G/tb+5v7z/v3/B/8V/yb/NP8+/0X/Tv9c/2z/ef+A/4T/i/+W/6L/rf+3/8T/1P/j/+//9f/5AAAADAAbACsAOQBIAFgAaQB4AIkAnACzAMwA5AD6ARIBLQFLAWcBgQGbAbgB2gH9Ah4COwJaAnwCoALDAuIDAgMlA0oDbAOIA6IDwQPmBAgEIQQxBEIEWgR0BIAEdQRYBD0ENQRFBGwEqwULBY0GIwarBwQHKwc7B1kHnQf/CGEIpQi+CLcIpgieCKYIuQjPCOQJAAkqCV4JiQmQCWgJGgi9CGYIFAe8B1cG8AaYBlkGKgX4Bb4FhgVhBVQFUwVOBT0FJAULBPUE5ATaBN8E9QUYBTgFRwVCBTEFGgUDBO4E3wTaBNsE1wTCBJ0EdgRbBEsENQQEA7ADRALRAmUCBAGrAVgBDwDSAKIAewBbAEEAKQAT//z/5v/S/8H/sP+d/4j/df9k/1T/QP8n/wz+9f7k/tb+x/61/qT+lv6L/n3+av5W/kX+N/4o/hX9/f3j/cz9uv2p/Zb9gP1o/VH9O/0o/Rj9Df0G/QL8/Pz2/PD87vzy/Pr9A/0O/Rn9J/06/U/9Z/1+/Zb9rv3H/d/99/4N/iL+OP5O/mT+e/6U/rD+zv7q/wL/F/8s/0f/av+Q/7X/1//3ABsARAByAKMA1QEIATwBbwGhAdICAwI2AmoCnQLLAvUDHANDA2kDkAO4A+IEDAQ0BFoEfwSlBMwE8wUWBTkFXwWLBb0F7gYZBj8GZAaLBrIG1gb3BxkHPQdlB4wHsAfRB/EIEggxCEsIYAhzCIYImQipCLYIxwjhCQQJLAlOCWYJeQmICZMJlwmSCYkJggmCCYcJjAmNCYsJigmJCYcJggl6CXEJaglmCWMJXglWCUsJQQk5CTUJMQkoCRoJCwkACPsI+gj5CPUI8QjrCOEI0Qi9CK8IrQi1CLYInQhqCCsH+wfmB+QH5QfdB84Hwge6B7EHnweEB2kHUgc+BygHDAbvBtcGxAa0Bq8GsQbKBwIHSAd/B5QHiwd8B3cHfAeBB4EHgAeIB5oHrQe8B8YH0gfmB/0IEggjCDQISwhpCIcIowi+CNwJAgkpCU4JbgmOCbAJ0QnuCgQKFwouCkoKZgp5CoAKfgp7Cn0KhgqYCrIK0wr4Cx0LOgtMC1ILTQtDCzcLLwsuCzQLOwtDC0kLUQtcC2kLcwt1C3ILbAtoC2gLbQt1C4ALjAuXC6ELqQuxC7kLwgvLC9cL5gv7DBMMLQxGDGIMggymDNENAQ03DXQNsA3gDfsN/Q3vDd0N0Q3KDcENsw2fDYsNdg1eDUANHAz7DOUM3gzjDOwM8QzyDPAM7wzzDPoNAQ0BDPgM6QzZDNEM1AziDPkNGA0/DWoNlA24DdgN9w4aDkAOYw5/DpYOsg7WDwAPJg9ED1sPdA+PD6oPvQ/KD9wP+RAgEEQQXRBvEIUQpxDIENcQyRCwEKcQwhD0ERkRFhDxEM4QzxD2ESMRLRELENIQqBCeEKsQshClEI0QehB1EHcQdhBsEGAQVhBOED4QJRAPEAYQDRAVEA4P8w/PD7cPsw+5D7cPng9vDzUO/A7NDqkOjw58DmoOVg49Dh4N+w3XDbINjg1rDUoNLA0SDPsM5QzQDLYMlwx0DFAMMQwYDAML6wvRC7YLnAuFC24LVwtCCzQLLQsrCykLIgsWCwgK+QrqCtwK0ArHCsEKvQq6CrcKtAqwCqoKoAqVCooKgAp2CmkKWgpJCjYKIwoPCfgJ3wnDCaMJgQlbCTYJFgj6COIIywiyCJsIhAhuCFQINggTB/IH1wfGB7wHtwe1B7IHqweeB4sHdQdgB04HOwcnBw4G8QbTBrUGmQZ7BlwGOQYUBe4FzAWvBZYFfgVkBUUFIgT+BNsEtgSQBGYEPAQVA/ADzAOlA3kDSwMgAv8C6ALWAsICpwKDAlcCKQH/AdkBswGIAVgBJQDyAMQAmQBuAEMAF//q/73/j/9g/y//AP7T/qf+ev5M/hv96f24/Yf9V/0m/Pb8xvyW/GT8MvwA+9D7oPtw+0D7Efrl+rv6kvpn+jn6CPnX+ab5d/lM+ST5APjc+LT4h/hY+Cn3//fY97P3kvd091j3Pfcd9vb2zvap9ov2cvZY9jn2FvXx9cz1pvWA9Vz1P/Uq9Rr1B/Tq9MX0nPR49F70TfRA9DT0IvQN8/bz4fPP87/zsPOg85HzhfN883PzaPNe81jzWfNe81/zV/NK8z/zPvNF807zUvNQ807zUfNY813zXfNY81PzUvNY82DzaPNu83HzcfNw83DzcfN183nzf/OE84rzk/Od86jztPPA883z2vPm8/Pz//QL9Bn0KfQ89E/0YvRx9H/0jPSc9K30vfTJ9NL02/To9Pj1C/Ud9S/1Q/Vc9Xb1j/Wk9bj1z/Xq9gr2K/ZM9mv2ivao9sP23vb69xf3M/dN92X3gPeg98f37fgO+Cr4RPhi+IX4qPjK+On5CPkm+UL5Wvlw+YT5l/ml+a/5t/nF+dv58/oE+gj6BvoO+in6V/qM+r767fsl+3X75vx0/RH9q/43/qv/Bf9H/3L/h/+K/4P/fP+A/5H/rf/K/97/4P/G/4r/Lf69/lX+DP3t/e79/P4H/g7+F/4o/kH+YP6B/qX+yf7r/wX/Ff8f/yj/Mf87/0n/Xv97/5r/sv/A/8f/0//sAAkAIAAoACUAJQAwAEUAWABkAGwAdgCKAKUAwwDfAPgBDwEoAUEBWgF0AY8BqQHAAdYB7gINAjMCXQKFAqcCxQLjAwMDIwM/A1kDewOtA/QESQSeBOQFFgU4BVIFbAWHBaIFtQXCBcwF3AX0Bg8GIQYgBhIGDQYpBm0GwQb5BvAGpAYxBb8FZAUcBN0ErgSoBN8FTQXMBikGSgY2BgwF6QXTBcUFuAWtBbEFzAX+Bj0Gfwa5BuYHBQcWBxkHEgcGBvYG4gbJBqUGdwZBBgwF4AXABaYFiQVmBT4FGQT3BNUEqwR9BFMEMwQYA/IDsQNZAwACvwKcAo0CfQJiAkACIQIKAfMB1QGvAY0BegF4AX8BgAFzAVgBNgEYAQMA+gD0AOkA0QCvAJAAfwCBAJAApgDDAOoBGAE7AToBBACkAD//+P/g/+v//QAB//T/3v/J/7j/qP+a/43/gv94/27/Zf9e/1n/Vf9O/0P/Of81/zb/Of83/yv/F/8A/un+0/69/qr+mf6M/oD+dP5p/mD+Wv5V/kv+N/4b/fz94v3Q/cT9tf2d/Xr9Uv0r/Q389/zm/NL8uPyZ/Hj8Wfw//Cb8D/v4++P70fvD+7f7rvun+6P7ovuj+6X7pvul+6P7oPud+5r7lPuK+3z7bftf+1H7Q/sz+yT7F/sP+wz7DPsM+wn7Afr2+uv64vrd+tn61frQ+sn6wfq6+rT6sPqt+qv6rPqv+rf6wPrI+sz6zPrH+sH6u/q1+q76qvqq+rH6vPrG+sz6zfrN+s760frW+tr63frh+uf67/r3+v/7B/sN+xL7FPsU+xX7GPsg+yr7Mvs4+zr7PPs++0L7RvtK+037TvtN+0n7Qfs3+y37I/sa+xT7EvsR+xD7DvsK+wf7BvsK+xL7HPsm+y77Nfs7+0H7R/tO+1b7Xftk+2v7cvt6+4D7hvuM+5L7mvuj+6v7svu4+8H7yvvT+9r73/vl++379vv9+//7/fv8+/78A/wI/Ar8CvwK/A/8GPwi/Cv8MPw0/Dv8RfxR/Fz8Zvxu/HX8fPyD/Ir8kfyY/J/8pvyv/Lv8yvzZ/OX86/zr/Ov87vz2/P79Av0C/QL9BP0K/RP9IP03/V79kP3F/e3+BP4Q/hr+Kv49/k3+V/5f/mr+ef6J/pj+pf6z/sT+0/7g/ur+9v8G/xj/KP8w/zX/PP9I/1b/Y/9q/2//dv9//4n/k/+f/63/v//Q/9z/4//p//IAAAAQACAAMwBHAF0AcQCBAJIApgDAAN4A+gEVATABTQFrAYYBnwG5AdgB+gIbAjgCUwJyApcCvQLfAvsDFQMzA1MDcgOMA6YDxQPpBAoEIAQvBEIEXgR6BIQEdARUBDwEPARYBIYExAUcBZMGHAaYBuoHDgcgB0QHigfnCD4IeAiRCJUIlQibCKkIuAjECNAI5QkOCUoJhQmkCZEJUgj+CK4IZggYB7cHRgbYBnwGNQX3BboFggVaBUcFQQU6BSkFEAT2BOAE0ATJBM8E5wUIBSYFNAUuBRkE/gTiBMkEtwSvBLEEswSrBJcEfQRjBEQEEgPAA1EC1AJcAfQBmwFNAQcAzgCkAIUAawBSADgAHwAI//H/2//I/7b/pf+T/3//a/9Z/0n/N/8h/wn+8v7g/tL+x/68/rH+pv6b/o3+fP5q/lv+Tf49/in+Ev35/eL9zv26/aX9j/12/V39Rf0u/Rv9Df0F/QD8+/z2/PP88vz2/Pz9BP0M/Rf9JP00/Uj9X/14/ZL9rP3G/d/9+P4R/in+QP5X/mz+gv6a/rX+0/7x/w7/Kf9F/2X/iP+r/8z/6AAEACUATQB8AK4A4AERAUIBcgGiAdICAwI1AmgCmwLKAvYDHgNGA24DmAPEA/AEGgREBGsEkgS4BN4FAgUmBUoFcQWcBcoF9gYgBkcGbwaXBr8G5AcIBysHUQd3B5oHuQfWB/UIFQg1CFEIaAh8CJAIpAi3CMgI3Aj1CRUJOAlZCXUJiwmbCaYJqQmnCaAJmgmXCZcJmwmgCaUJpgmlCaAJmgmUCY0JhQl8CXIJaQlhCVgJTwlGCUEJPgk6CTMJKAkfCRoJGQkZCRcJEgkJCPkI4gjICLIIpgieCI8IcAhFCB8IDAgNCBEIDAf8B+wH5QfiB9cHvQeZB3YHVwc1BwoG2ga0BqYGqgawBy4HMAc6B2oHuggJCDEIJwf8B8sHpQeOB4QHiAeYB68HwgfPB9kH6QgCCB4INAhDCFMIagiKCKsIxwjiCQAJIwlICWcJgQmaCbgJ2Qn4ChAKIwo4ClAKZgpxCnEKbQpvCn4Kmgq8Ct4K/QsXCykLMws2CzcLOwtBC0YLSAtDCz0LOQs7C0YLVQtlC3ILeAt3C3MLbQtrC20LdguBC44LmguiC6oLsgu9C8kL1gviC/AMAQwWDC4MRwxiDIAMpAzMDPUNIA1QDYcNwQ3xDgoOCQ32Dd4NzQ3BDbQNpA2TDYUNdw1mDUsNJw0FDOwM4AzcDNoM2AzYDOAM7gz+DQwNEg0ODQMM9wzvDPEM/A0QDSoNSg1wDZsNxg3tDg8OLg5QDnUOnA7ADuEPAg8oD08PcQ+LD6APtQ/MD+EP8Q/9EBIQMxBeEIIQlxCgEK8QzBDsEPsQ7RDPEMAQ0xD/ESMRIxECEOIQ4REBESURKREFENAQrRCpELYQuxCrEJEQfxB8EIIQhRCCEHsQdRBsEFoQQRAqECIQJxAqEBsP+A/PD7QPrw+3D7kPpw+CD1MPJA76DtYOtw6cDoUObw5XDjoOGg34DdUNtA2VDXkNXg1HDTINHg0IDO4MzQypDIYMaAxODDIMFAv1C9gLwAuqC5MLegtjC1QLTQtLC0gLQQs2CykLHAsOCwAK8groCuEK3QraCtgK1QrQCsoKwQq3Cq0KpAqaCo0KfApqClgKRgo0Ch4KBAnnCcgJqAmHCWYJRQknCQwI9AjdCMYIrgiUCHcIWQg8CCIIDwgCB/oH9gfxB+kH3AfJB7MHnQeJB3YHYgdJBy4HEgb4Bt4GwwakBoMGYQZBBiIGBQXqBdAFtwWcBXwFWAUzBQ4E6QTEBJ0EdgRQBCoEAwPXA6cDegNUAzoDKAMXAwEC4QK4AosCXwI2AhAB6AG9AY0BXQEuAQIA1wCtAIAAUwAk//X/xv+W/2j/Of8M/t7+sf6D/lX+Jv32/cX9k/1j/TT9BPzT/KD8bvxA/BP75vu2+4L7T/sh+vb6zPqg+nD6QPoS+eb5uvmP+Wf5Qvkc+PL4wviO+F34M/gP9+73z/ex95P3dvdU9y/3CPbk9sf2rfaR9nD2S/Yj9fv10/Ws9Yn1b/Vd9U31OfUb9PT0zfSr9JL0gPRx9GL0UPQ79CT0DvP78+vz2/PL87zzr/Ol85zzkfOF833zfPN/84DzevNu82PzYPNk82rza/Nq82rzcfN784LzgfN783XzdfN984fzj/OU85bzlfOT85PzlfOa86DzpfOn86nzrvO388Tz0/Pg8+zz9/QD9A/0G/Qn9DT0QvRT9GT0dPSC9I/0nfSt9L30zPTX9N/06PT29Qf1G/Uv9UP1WfVw9Yj1nvWz9cj14fYA9iH2QvZh9n72mva19sz24/b79xb3MvdN92f3hPel98n37PgL+Cb4Q/hk+In4rPjK+OX5APkb+TT5Sflb+W75hPmY+af5sfm8+dD56voB+gn6A/n++gj6Kvpc+o76uPrd+w/7X/vX/HP9Hv3D/k/+vf8P/07/fP+X/53/lP+J/4r/nP+4/87/y/+l/1z++P6L/ij94f28/bb9vv3H/c390v3e/fX+GP5A/mf+iv6l/rr+y/7b/ur+9/8B/w7/IP86/1b/bP97/4j/mP+w/8j/2f/g/+L/6//9ABQAJwAxADcAQgBVAG0AhQCbAK8AxQDdAPgBEwEwAU4BbQGJAaIBugHVAfUCGAI6AloCegKeAsYC7QMOAyoDRwNvA6cD7QQ2BHgErwTaBPwFGwU2BU4FYQVuBXwFjgWoBcYF3gXmBeMF5AX8BjMGdAagBpoGXgYBBZ4FQwTyBKkEdQRqBJQE5QU7BXEFegVhBUIFMAUvBTgFQgVRBW4FngXgBiwGcwaoBsUGzwbNBsgGwga6BqoGkwZ0BlEGKAX7Bc0FpgWLBXkFZwVNBSsFBgThBL0ElQRnBDsEGAP5A9ADkwNEAvYCvAKdAokCcQJLAiECAAHpAdYBvAGaAXkBYQFUAUsBPQEmAQkA7ADVAMYAvgC6ALQApwCSAHcAWgA7ABwACAARAEUAngD3ASMBBACnADj/5f/C/8L/yf/F/7b/qP+g/5n/jP95/2X/V/9R/0z/Rv89/zP/KP8a/wv+/f73/vn+/f79/vL+4P7M/rj+pf6R/n7+bv5h/lb+Sf49/jD+J/4g/hf+B/3x/dn9w/2z/ab9lv1+/V/9Pf0c/QH87Pza/Mb8rPyP/HD8Uvw4/CD8CPvw+9r7xvu2+6r7n/uW+5D7j/uT+5n7nfuc+5f7kPuL+4j7hft9+3H7YvtS+0L7Mfse+wz6/fr1+vP69vr6+vr69Prp+t761PrP+s76zvrN+sj6wPq2+q76qPql+qP6pPqo+q/6t/q++sP6xPrC+r/6uvqz+qr6pPqj+qr6tPq++sL6wvrA+sD6xfrL+tL62Prc+uD65vru+vf7AfsL+xH7FfsW+xj7HPsh+yj7Lvsz+zj7PftD+0f7S/tO+1D7UPtN+0f7Pvs0+yv7JPse+xr7GPsY+xj7F/sU+xH7EPsU+xz7KPsz+zz7QftF+0n7TvtT+1n7Xvtl+277ePuB+4n7kPuV+5r7ofup+7H7uPu/+8f7z/vW+9z74fvp+/P7/PwC/AP8AfwB/AT8CfwN/A38DPwO/BP8G/wk/Cv8Mfw3/D/8SPxT/F38Zvxu/HX8evx9/ID8hfyN/Jf8oPyq/LT8wPzO/Nr84fzj/OT86/z3/QT9Df0P/Q79DP0L/Qv9Dv0Z/TD9Vf1//aX9wv3Y/e7+Bf4b/iz+Nf49/kj+V/5o/nf+hf6V/qb+t/7F/tD+3v7x/wf/G/8o/zH/Of9E/1D/W/9j/2r/cv98/4b/kP+c/6r/u//K/9f/4//v//8AEAAhADMARwBfAHYAiwCcAK0AxADhAQABHAE1AU4BagGHAaIBuwHWAfQCFQIzAksCYgKBAqcCzgLvAwgDHQM3A1YDdAONA6UDwQPjBAMEGwQuBEUEZASABIUEbgRKBDMEOQRcBI8EzgUiBZAGDAZ6Br8G3gbzBx4HaQfDCBMISAhkCHQIggiTCKQIswjACM0I5AkMCUYJhAmpCaAJZgkSCL4IdQgqB84HXAbmBn8GMQX0BbsFhgVbBUAFMwUpBRkFAwTtBNsEzgTIBMwE3AT2BQ0FFgUNBPgE3wTIBLQEpgSeBJwEnQSaBJAEfQRfBDAD5gN7AvsCdgH/AZ0BSwEGAMwAoQCEAHAAXABFACsAEv/8/+f/0v++/6v/mv+J/3b/Y/9Q/z//Lv8a/wP+7v7c/tD+yP7B/rj+rv6j/pj+jf6B/nT+Zf5U/kD+Kv4U/f395f3M/bP9mv2C/Wv9Uv07/Sb9F/0M/QX8//z7/Pj89/z6/P79Bv0Q/Rv9J/00/UT9WP1w/Yz9qf3F/eD9+/4V/i3+RP5Z/m/+hv6g/rz+2P72/xX/Nv9Z/37/of/C/9//+QAUADQAXgCNAMAA8QEgAU4BfQGsAdoCCgI5AmoCmwLJAvMDGgNBA2wDmwPLA/oEJQRPBHcEngTEBOgFDQUzBVoFggWqBdEF+AYgBkkGcwaeBsYG7AcSBzgHXQd/B50HuAfUB/IIFAg3CFYIcQiICJ4IswjJCN8I9QkNCSYJQglgCX4JlwmpCbMJuAm5CbcJsQmpCaIJoQmnCbAJtQmzCa0JpwmjCZ8JlwmMCX8JdQluCWYJXAlSCUwJSglLCUgJQgk7CTYJNgk1CTEJKgkfCRAI+wjfCMEIpgiNCHQIWghECDoIPwhHCEQIMggbCA8IEAgQB/wH0QeeB3QHUQcoBu4GswaUBqcG3gcVCDIIJQgECAIILwhyCJ0IlAheCBQH0AegB4kHiwefB7sH0wfgB+kH9wgPCCoIQQhSCGUIgAikCMgI5Qj/CRwJPQlgCXwJkQmlCb8J3wn/ChYKJgozCkIKUApaCl4KZQp2CpQKuwrfCvoLDQsYCx4LHwseCx8LKAs2C0MLSgtFCzwLNQs5C0cLWwtuC3oLfgt9C3oLeAt6C38LiAuUC58LqAuvC7YLwAvOC98L7gv+DA0MIAw2DE0MaAyHDK0M2A0CDSYNRg1pDZQNxg3vDgQN/w3qDdINwQ22DaoNmw2ODYUNfQ1wDVYNNQ0VDP4M7wziDNMMxwzFDNQM7g0KDRoNHA0TDQYM/g0CDRMNLw1QDXENkQ2yDdgOAw4uDlMOcw6RDrEO1g7/DygPUA93D5oPtw/OD+EP8xAGEBUQIRAtEEMQZxCUELsQ0RDaEOUQ+hETER0RDRDsENUQ3RD+ER4RJREQEPgQ9BEGERgREhDwEMcQrxCwELwQvxCyEJ4QkhCSEJkQnRCcEJkQlhCOEH0QZBBPEEUQRRBAECgP/g/SD7YPrw+2D7kPrg+UD3MPUA8tDwgO4Q68DpwOgg5qDlEONQ4YDfkN3A3ADaYNjw17DWkNVw1CDSYNBAzfDLsMmwx8DF0MPAwdDAIL6wvUC7sLoAuJC3oLdAtwC2wLZAtZC08LRAs2CyULFAsGCv4K+Qr2CvQK8ArrCuUK3QrUCswKxAq7Cq0KmwqJCnkKagpaCkQKKAoICekJzAmwCZQJdwlaCT4JJAkLCPII1wi5CJsIgAhqCFkITQhDCDoILwgkCBcIBQfwB9kHxAexB58HiQdvB1MHOAcgBwcG6wbKBqgGigZxBlkGQQYmBgkF7AXPBa8FjAVnBUEFHQT7BNkEtgSQBGYEOAQHA9YDrAONA3YDZANOAzEDDQLmAr4ClwJuAkQCGAHrAb8BkwFpAUABFgDrAL4AjwBfAC8AAP/R/6P/df9H/xj+6f68/pD+Yv4y/gD9zv2f/XP9Rf0U/OD8rPx+/FP8J/v3+8L7jPtb+y/7A/rV+qX6dvpK+iH59/nN+aX5fvlX+Sr4+PjC+JH4afhI+Cr4Cvfp98n3qfeI92X3Qfcf9wD24vbD9qD2evZS9iv2BPXf9b/1p/WW9YT1a/VJ9SH0/PTe9Mf0tPSi9JD0ffRo9FL0O/Qn9Bb0B/P38+nz3PPT88vzwfO086nzo/Ok86XzovOZ84/ziPOG84XzhPOD84fzkPOb86HzoPOb85nzm/Oi86rzr/Oy87TztfO187bzuvPA88fzy/PL88nzy/PT8+Hz7/P79AX0D/Qc9Cn0N/RE9FD0XvRu9H70jPSX9KL0r/S+9M703fTo9PL0/fUM9R71MfVE9Vf1bPWC9Zj1rfXC9dr19vYV9jX2U/Zw9oz2p/bA9tT25fb29w33KfdJ92n3ives98337fgK+Cf4Rvhp+Iz4qvjE+Nr48vkN+Sb5O/lN+WL5evmS+aT5rvm1+cP52vn0+gT6Bvn/+f76Dvou+lT6ePqX+rz6+Ptb++b8jf03/c7+R/6l/vf/Qv+B/6f/rP+a/4b/gf+O/5z/lv9s/x3+uP5P/fT9sv2O/YH9g/2J/Yz9kP2a/a/90P31/hn+OP5R/mj+f/6W/qr+uf7E/tD+4f75/xL/KP85/0j/WP9q/3r/h/+Q/5z/r//G/93/7f/3AAEADwAhADIAQQBQAGEAeQCWALQA0ADuAQ4BMgFVAXMBjQGlAb0B1gHwAgsCKwJSAn8CrQLVAvYDEwMzA1sDjQPFBAAEOQRuBJsEwATcBPEFAAUNBRsFLgVLBW4FkQWsBb0FywXfBgEGKAZDBkMGIgXkBZIFNATQBHAEJgQCBAgEKwRRBGkEbwRsBG8EfASUBLME2AUGBUAFhgXSBhwGWQZ/BooGgQZyBmYGXwZXBkUGKQYIBecFyQWpBYcFZwVQBUIFMwUZBPMEyASiBIIEYgQ7BBAD5gO/A5YDZAMrAvQCyAKpAooCYgIyAgQB5QHTAcQBqgGGAV8BPwEmAREA9wDaALsAoACMAH8AegB4AHUAbgBhAFEAPAAf//j/0f/B/9sAIABzAKkApQBsACP/7f/U/8r/uP+Z/3n/Z/9l/2f/YP9O/zn/Lf8r/y3/LP8l/xj/B/7x/tj+xP68/r/+x/7K/sH+sP6c/or+ev5q/lj+SP46/i7+Iv4V/gf9+/3w/eX91f3D/bD9of2T/Yb9c/1b/UD9JP0K/PT84fzN/Lj8nvyA/GH8Rfws/Bj8BPvv+9n7w/uw+6D7kvuG+377fPuA+4j7jvuO+4j7gft7+3f7c/tr+177UPtC+zT7JfsT+v767Prh+t364Prl+uf65Prc+tH6yPrC+sD6wfrC+sD6u/qz+qv6pfqi+qD6ofqk+qj6rPqw+rP6tPq0+rP6sPqr+qX6ofqi+qf6r/q1+rn6ufq4+rj6u/rB+sj60PrW+tz64vrp+vL6+/sE+wv7EPsT+xj7Hvsk+yn7Lfsx+zf7P/tH+0z7T/tQ+1L7UvtR+0v7Q/s6+zL7LPsn+yP7IPsg+yD7Ifsg+x/7H/sj+yr7NPs9+0P7R/tL+0/7U/tX+1v7YPtn+3D7e/uF+437k/uZ+6D7qPuw+7j7v/vH+8771vvc++D75vvv+/n8AvwH/Af8B/wH/Ar8DfwP/A/8EfwV/Bv8Ivwm/Cr8MPw4/EP8TfxU/Fv8Yvxq/HL8ePx7/Hz8gfyK/JX8n/ym/Kz8s/y8/Mf8z/zV/Nr85Pzz/QT9Ef0Y/Rn9GP0V/RD9Cf0G/Qz9IP0//WX9i/2v/dH97/4F/hH+F/4d/in+Of5L/lv+av56/ov+nf6t/rv+y/7f/vb/Df8h/zD/Pf9J/1T/Xv9o/3L/fv+L/5b/of+s/7r/yP/Y/+f/+AANACQAOgBOAGAAdACMAKMAtwDGANgA8QEPASwBRAFXAWwBhgGjAb0B1QHuAgoCKAJDAlkCcAKPArUC3AL7AxEDJgNBA2EDfgOVA6kDwwPjBAMEHwQ2BFAEbQSDBIEEYwQ9BCcEMwRcBJUE2wUyBZ8GEgZvBqMGtwbKBvgHRwehB+wIHgg9CFQIagh8CIsImQiqCMEI3QkDCTMJZAmACXQJOwjlCIsIOgftB5MHKAa7Bl4GGgXoBbkFigVfBUEFMQUkBRUFAwTyBOUE3ATVBNIE1QThBO8E9QTvBOEE0ATDBLkErwSlBJwEkgSHBHUEWAQtA+0DkwMhAqECJQG3AV0BFADXAKcAhQBvAF0ASgAyABgAAv/w/97/yv+0/6D/j/+A/3H/X/9M/zn/Jv8S/v7+7P7e/tX+z/7J/r/+tP6r/qb+ov6c/pD+fv5p/lX+Q/4w/hv+Af3k/cf9rP2T/Xz9ZP1O/Tr9Kf0b/Q/9Bfz9/Pj89vz3/Pz9Bv0T/SD9LP01/UD9Uf1o/YT9ov2//dv9+P4T/iv+Qf5V/mv+hv6j/r/+2/73/xj/PP9j/4j/qv/I/+P//gAcAEEAbACcAM8BAQExAWEBkgHBAe8CGwJGAnMCoALMAvMDGQM/A2sDmwPNA/wEJwRPBHcEngTDBOcFCwUyBVsFhQWsBdAF9QYdBkgGdAaeBsYG7QcTBzkHXAd7B5cHswfSB/MIFwg7CF0IewiVCKsIwQjXCPAJCAkeCTEJRglgCX0JmQmtCbkJwAnGCcgJxAm5CawJpQmoCbEJtwm2Ca8JqQmnCaUJngmSCYcJgAl8CXYJawldCVMJTwlQCU4JSglFCUQJQwk/CTUJKgkhCRoJEAj9COAIwQikCIwIeghxCHMIeQh6CGwIVAg+CDcIOAgrCAAHvweGB2kHYAdQByUG8wboByQHlAf/CTUJDwi1CGsIWAhxCI4IjQhoCC0H8Ae+B58HmAeoB8YH4gfzB/sIAwgTCCsIRAhbCHMIkgi3CNoI9AkKCSEJPwlgCX0JkwmmCb0J2AnyCgUKEAoZCicKOApKCl4KdAqSCrUK1wrxCwALCAsNCxILFAsTCxELEwsdCysLNgs6CzkLOQtBC08LXwttC3YLegt7C3sLfguDC4sLlguiC68LuQvBC8oL1QviC/MMBQwYDC0MRAxbDHIMjgyxDN4NDg03DVUNZw15DZINsg3PDdwN1g3GDbYNrA2jDZgNiw2BDXwNeA1sDVYNOQ0gDQ8NAQzvDNYMwQy9DM8M7w0PDR8NHQ0QDQINAQ0RDTQNYw2TDbwN2g31DhYOQg50DqAOwQ7XDu0PDA83D2cPlg+/D+AP+RAOECAQMhBBEE0QVxBjEHoQnRDHEOwRAREKERARHREtETQRJhEJEO8Q6BD2EQcRDREFEPoQ+BD/EQEQ9BDZEL4QsxC4EMIQxRC8ELEQrRCwELYQuBC3ELUQsxCrEJsQhBBwEGYQYxBZEEAQGQ/yD9gPzw/SD9IPyg+3D50PgA9eDzYPCg7eDrgOmQ5/DmgOUA42DhwOAQ3oDdENvQ2sDZ0NjA12DVgNNQ0QDOwMywyrDIsMbAxQDDYMHAwBC+MLyAuzC6cLoAuaC5ELhwt9C3ULawtbC0YLMAsfCxULEQsPCw4LCwsGCwAK9wruCuUK3QrSCsUKtAqkCpUKiQp5CmMKRgomCgcJ7AnVCb0JpQmLCXEJVwk8CR8JAQjiCMUIrgifCJUIjQiDCHYIZQhUCEEILQgXCAEH7QfbB8kHsweaB34HZAdMBzMHFQb0BtMGuAajBpAGegZeBj4GHgX/BeAFvgWbBXcFVQU2BRgE9gTNBJwEZgQwBAID4APIA7QDnAN9A1gDMgMOAu0CyQKhAnUCRwIbAfEByQGiAXkBTgEiAPUAxwCYAGgAOQAL/97/sf+D/1T/Jf74/sz+nv5t/jr+Cf3d/bP9iP1X/SL87Py6/Iz8X/wu+/r7xvuV+2f7OvsK+tn6q/p/+lf6LvoF+d35tfmL+Vz5J/jy+MX4oviG+Gn4Sfgl+AL34ffC96D3fPdY9zb3FPbx9sz2pvaB9l32OfYY9fz15vXT9b31nvV29Uz1J/UM9Pf05vTT9MD0q/SW9H/0aPRT9EH0MPQh9BP0B/P/8/fz7/Pj89bzzvPM883zy/PF87vzsfOp86TzovOj86nzsfO487vzu/O7877zxPPK883zzvPP89Hz0/PU89Xz2PPe8+Xz6PPm8+Xz5/Px8/70CvQT9Bv0JfQ19EX0U/Rf9Gv0evSL9Jv0qPSy9Lv0x/TW9Ob08/T99Qf1E/Ui9TP1RPVV9Wf1e/WR9af1vfXT9ez2CfYo9kX2YPZ59pP2rvbG9tj25vb19wr3J/dJ9233j/ev98/37PgJ+Cb4RPhm+Ib4ovi5+M745vkB+Rz5NPlK+WH5e/mT+aX5rfmw+bj5yvnk+fz6CvoN+gr6CvoR+iP6O/pY+nz6sPsA+3b8Dvy3/VT90/43/o/+6P8//4P/of+X/3r/Y/9e/2D/Uv8i/s7+Z/4C/bD9eP1Z/U39Tf1T/Vn9YP1r/X39lP2v/cv95v4C/h/+PP5V/mn+d/6C/pH+o/65/tH+5v73/wb/FP8h/y3/Of9G/1f/bP+B/5X/pv+2/8f/2P/n/+//9gABABYANABWAHUAkACsAM0A8wEaATsBVgFsAYMBmwG1AdAB7QIOAjUCYQKOArgC3QL+Ax4DQQNpA5cDywQABDAEVwRzBIcElwSnBLoE0wTzBRkFQwVqBYwFpwW+BdQF6wX+BgcF/gXYBZAFKASsBDED0AOWA4EDgwOOA5wDrwPKA+4EFgQ/BGwEpATnBTMFfwXEBfwGJAY2BjMGIAYKBfoF8gXpBdcFuwWeBYYFcgVdBUIFJQULBPcE4gTCBJcEagRHBDAEGwP9A9UDpwN8A1YDMwMQAu0CzQKqAn8CSgISAeUBygG6AagBiAFbASsBBADoANMAvACiAIQAZgBMADoAMQAvAC0AJwAdABQADgAG//P/0v+x/6L/s//a//4ADAAD//T/8P/y/+n/xf+N/1b/NP8q/yr/J/8a/w7/CP8K/w3/DP8F/vn+5/7P/rL+mP6L/oz+lf6a/pT+hP5x/mH+VP5H/jj+KP4X/gj9+f3q/d390v3H/br9qP2V/YP9dv1q/V79Tf03/SD9Cfz1/OH8zvy6/KX8jfxw/FH8M/wc/Ar7+/vr+9f7wvut+5n7ift6+3D7a/tt+3L7d/t4+3T7b/tp+2T7XftS+0X7OPst+yT7GPsH+vL63vrP+sj6yPrM+s/6z/rL+sX6vvq4+rT6sfqx+rH6r/qr+qb6oPqb+pn6mPqZ+pr6m/qb+pz6nPqc+pv6mfqY+pf6mfqd+qP6qPqt+rD6sfqx+rH6svq1+rv6w/rO+tf64Prn+u/69/r++wT7CPsN+xT7HPsk+yr7Lvsx+zf7PvtF+0r7TPtN+0/7UvtT+1L7TftG+0D7Ovs2+zL7L/st+yz7LPst+y77MPs0+zn7PvtD+0f7S/tP+1T7Wvte+2P7Z/tt+3b7fvuG+4z7kvuZ+6L7rPu2+7/7xvvO+9f73vvk++n77/v2+//8BvwK/Av8DPwP/BH8EvwT/BP8F/we/CT8J/wp/Cv8Mvw9/En8U/xY/Fz8Yvxq/HT8fPx//IP8iPyS/J38pfyo/Kj8qvyv/Lf8wPzI/M/82vzo/Pj9Bf0P/RX9Gv0d/R79G/0Y/Rz9Kv1F/Wn9kv26/dz99v4E/gj+CP4K/hT+JP43/kj+V/5n/nn+i/6c/q3+vv7R/ub++/8Q/yP/Nf9E/1H/Xf9p/3f/h/+W/6P/r/+8/8z/3P/uAAEAFwAyAE4AZgB5AIoAngC0AMoA2wDqAPwBFQEzAU0BYgFzAYgBowHAAdgB6wH+AhYCMwJOAmUCfgKcAsIC5gMCAxcDLQNKA2sDhwObA6wDxQPnBAsEKQRBBFgEcQSABHgEVwQwBBwEKgRXBJcE5gVHBbgGJgZ1BpcGnQarBt0HMQeNB9cIBQgiCDgISghVCFwIZQh6CJkIvQjgCQIJHwksCRgI4AiNCDIH3geMBzMG0QZyBiUF8gXOBaoFgwVgBUgFPAUxBSEFDAT6BPAE6wTkBNgEzgTMBNIE2QTbBNYEzwTKBMUEvgSyBKAEiQRrBEMEEAPNA3sDHAKxAkMB2QF7ASsA6QC1AIwAbwBaAEcAMgAbAAX/9P/m/9f/w/+s/5f/hv96/23/Xf9K/zX/If8O/v3+7/7l/t/+2/7V/s3+xP6//r7+vv65/qr+k/56/mP+Uf5C/jD+GP39/eL9x/2t/ZT9ev1j/VD9P/0u/R79EP0F/P38+vz5/P39B/0U/SH9LP00/T79Tv1l/YD9nP22/dL97/4M/iX+Ov5P/mb+gv6g/r3+2P71/xj/P/9m/4n/pv+//9r/+AAaAEIAbwCgANQBCQE+AXIBpgHYAgQCLAJTAnwCpwLSAvoDIANHA3EDoAPOA/kEIgRLBHUEnQTBBOIFAgUnBVAFegWhBcYF7AYXBkQGcQaaBsEG5wcPBzQHVQdzB5AHsAfTB/cIGgg9CGAIgQieCLUIyQjfCPgJEQkmCTcJRwlfCX0JmwmyCcAJyQnSCdgJ1gnKCbkJrwmwCbgJvgm8CbUJsAmuCasJowmXCY0JigmLCYcJegloCVoJUglPCUoJRQlDCUQJRAk+CS8JHwkXCRYJEwkICPMI2wjICLoIrgijCJsIlQiOCH8IbAhdCFUISAgkB+QHngd5B4kHuQfcB9MHsAetB/UIfAj+CXwJRAjOCFwIHQgVCCgINwg1CCUICwfrB8sHuAe8B9UH9AgLCBMIFwgiCDcIUwhtCIcIpAjCCN8I9AkDCRQJLAlMCWsJhAmXCagJuQnKCdkJ6An7ChYKOApbCnwKmgq2Cs8K4wrvCvYK+wsECw0LEgsPCwYLAQsECxELIwszCz8LRwtOC1YLXgtkC2kLbQtzC3kLgAuIC5ILoAuwC8ELzwvaC+ML7Qv4DAcMGwwzDE4MagyDDJsMtQzXDQINMA1VDWoNcQ1yDXkNhw2WDZ4Nng2ZDZQNkA2IDXwNbw1nDWYNZQ1dDUoNNA0kDRkNDgz5DNwMwwy9DM8M8A0ODRwNGg0PDQgNEA0rDVsNlg3PDfsOFw4tDkwOfQ64DusPDA8bDygPQg9wD6cP3BAFECEQNxBKEF4QcBCAEI0QmRCpEMEQ4BEBERsRJxEmESIRIhEpES8RLBEcEQYQ9BDqEOcQ5hDnEOkQ7xDyEO0Q3xDNEMIQwxDMENQQ0xDMEMYQxhDLEM8Q0BDOEMwQyRDAELAQnBCLEIIQfhB1EGIQRRAoEBMQCRAFEAEP9w/lD8wPrQ+ID14PMg8GDt8Ovg6hDocOcA5YDj8OJg4ODfoN6Q3bDc0Nuw2jDYQNYQ09DRsM+gzaDLsMngyDDGgMSgwqDAsL8AveC9MLygu/C7ILpQucC5ULiwt5C2ILSQs3Cy0LKgsqCysLKQslCx0LEgsGCvoK7wrkCtgKygq7Cq0KngqNCnYKXApBCiYKDwn5CeQJzQm2CZwJgQlkCUcJKQkOCPYI5AjYCM8IyAi9CK0ImAiCCGwIVghBCCsIFwgEB/IH3AfDB6gHjgd1B1wHQAciBwUG7AbXBsMGqwaOBm0GTAYtBg4F7wXPBa4FjwVwBU8FKAT4BMAEhgRTBCwEEgQAA+wD0AOqA4ADWAM1AxQC8QLJAp0CcgJKAiQB/QHUAakBfQFRASYA+QDMAJ0AbgBAABT/5/+6/4z/Xv8x/wX+1v6m/nT+Rf4Y/e/9xf2X/WP9Lfz4/Mb8lfxj/DH8APvQ+6L7c/tC+xH64vq4+pD6avpC+hr58PnB+Yz5VPkg+Pj42/jD+Kn4ifhl+EL4IfgB9973uPeS9273Svcm9wD22va19pL2cfZS9jb2IPYL9fH10PWm9Xv1V/U99Sr1GfUG9PL03fTG9K70l/SB9G70XfRN9D70MPQl9B30FPQK8//z9/Pz8/Hz7/Pp89/z0/PK88TzwvPG883z1PPY89jz1/Pb8+Pz7PPy8/Hz7vPt8+/z8PPx8/Hz8/P48/3z//P/9AD0BvQR9B30JfQq9DH0P/RS9GX0c/R79IX0lPSn9Ln0xvTO9Nb04vTx9P/1CvUR9Rn1JPUz9UP1U/Vk9Xb1jPWk9bv10fXn9gD2HfY69lX2bPaB9pj2sPbI9tz27fb+9xT3MfdS93P3k/ex98737PgI+CT4Qfhf+H74m/i0+Mv44Pj3+RH5LPlJ+Wb5g/ma+av5s/m3+bz5yPnb+fP6CPoX+hr6FfoM+gn6Ffov+lP6gfrC+yT7rvxV/Pv9hv3u/kD+kf7n/zT/Yv9p/1T/PP8v/yf/D/7W/nz+E/2x/Wb9N/0f/Rf9Gf0j/TL9Q/1U/WP9cf2A/ZL9q/3J/en+Bf4Z/if+Mv5A/lL+aP5+/pP+pf60/sP+0P7c/uj+9v8E/xP/Iv8x/0P/WP9x/4j/mf+g/6L/pv+1/9H/9gAZADYATwBqAIwAsgDYAPcBDwEmAUIBZQGIAaYBvAHOAeUCBwI2AmoCnQLHAucDAgMgA0QDbwOeA8sD7wQLBCIEOARRBG4EjgSvBNEE9AUYBT4FYgWCBZwFsAXBBc4FzgWyBWwE+wRwA+sDhgNQAz8DRANSA2gDjAO+A/UEKARVBIQEvQUBBUgFhQWxBc4F3wXjBdwFyQW1BaYFngWXBYkFdAVeBU0FQAUuBRME8ATOBK4EjgRoBD0EFQP5A+kD2gPAA5kDawNBAyADBQLsAtECsgKKAlgCHgHmAbwBowGSAXsBUwEeAOgAvgCkAJYAjAB9AGMAQAAa//r/6f/l/+b/4v/X/8z/yv/P/8//vv+c/3j/Yv9g/2z/e/+N/6b/x//k/+n/y/+R/1D/H/8D/vb+7f7m/uP+5f7p/uj+4f7X/s3+wv6v/pT+eP5l/mD+ZP5n/mL+VP5C/jT+Kv4i/hn+C/36/eX9z/28/a/9p/2f/ZP9gP1p/VP9Q/02/Sv9Hv0Q/QD87/zd/Mn8tPyg/I38ePxf/EH8JPwK+/j76vvd+8z7uPuk+5H7gPtx+2b7X/tc+137X/te+1v7V/tT+037RPs4+yn7HfsT+wv7Afry+uD6zfq9+rP6rvqu+rD6s/q1+rX6s/qu+qj6ovqe+p36nfqd+pr6lfqQ+oz6ivqI+oj6h/qG+oX6hfqE+oL6gfqC+ob6jfqV+pz6oPqj+qb6qPqq+qr6qfqq+q/6uPrF+tH62/rj+ur68vr5+v/7BPsJ+w/7F/sf+yf7Lfsy+zf7PPtB+0X7RvtH+0r7TvtR+1P7UvtO+0r7R/tF+0P7QPs++zv7O/s8+z77QftE+0f7SvtN+1D7U/tY+177Zftr+2/7dPt5+3/7hfuL+5D7lfud+6b7sfu8+8X7zvvX++D75/vt+/H79vv8/AP8CfwM/A78EvwW/Bn8GvwZ/Br8Hfwj/Cj8K/wt/DH8OfxF/FH8Wfxd/GD8Zvxw/Hr8g/yJ/I78lvyh/Kz8svyz/LH8sPyy/Lj8v/zF/Mz80/ze/On88/z8/Qb9EP0d/Sv9N/1D/VL9Zf1//Z39vf3b/fL+Av4J/gn+Bv4F/gr+Ff4l/jf+Sf5a/mz+ff6P/qL+tP7G/tf+5/75/w3/If80/0T/Uf9g/3H/g/+T/6L/sP/B/9X/6gAAABYALwBMAGgAfwCQAKAAsQDGANkA6QD4AQoBIwE/AVkBbQGCAZwBugHXAewB+gIJAh4COgJVAm4CiAKmAsgC6QMDAxgDLwNNA2sDgwOUA6UDwQPoBA8ELARBBFUEawR4BG4ETAQkBA8EHQRKBI0E4AVGBboGJgZuBogGhwaUBssHJweJB9QH/wgUCCEIKggrCCgIKwg/CGMIiwiuCMYI1AjSCLYIfggvB9gHgwcwBtgGfAYpBewFxQWrBZAFcQVYBU0FSgVDBS8FEQT4BOwE6QTkBNQEwQS1BLYEwQTKBM0EywTHBMQEvgSwBJcEcQQ+A/0DrwNXAvsCnwJFAe0BlwFGAP4AwwCVAHMAWgBFADIAHQAJ//n/6//f/9D/vP+l/5D/f/9z/2f/WP9F/zH/Hv8O/wD+9f7u/un+5v7j/t/+2/7a/tv+2v7T/sD+pf6H/m3+Wf5J/jr+KP4U/f795/3N/bD9k/16/Wb9Vv1F/TT9JP0Y/RH9Dv0M/Qz9EP0Y/SL9K/0z/T/9Uf1p/YP9nP2z/cz96P4F/h/+Nf5J/mH+ff6Z/rT+z/7t/xL/O/9j/4P/nP+z/87/8AAXAEIAcQCkANoBEgFJAYABtQHmAhECNwJcAoMCrgLbAwUDKwNSA3oDpQPOA/YEHgRJBHUEnwTDBOAE/AUcBUIFagWRBbcF4AYNBjwGagaTBroG4gcLBzIHUwdwB48HsQfXB/oIGwg7CF4IggiiCLsIzgjjCPwJFgktCTwJTAljCYMJpAm+Cc0J1gneCeQJ4gnXCccJvgnACckJzgnLCcUJwQnACb0JsgmjCZgJlQmWCZIJhQlzCWMJWAlQCUgJPwk8CT8JQQk9CS8JIAkXCRQJDQj/COsI3AjWCNMIyAiyCJsIjAiGCIEIdwhoCFUIOwgRB9oHsAe0B/MIUgiXCJwIcQhTCHkI4wlSCNUIqwhRB/kHygfIB+AH/AgUCCYILAgeCAEH4wfZB+oICgglCDEINQg+CFQIcQiMCKMItwjNCOMI9wkGCRQJKAlECWIJegmKCZQJnAmoCbkJ1An5CicKWQqGCqkKwQrRCtsK4grnCuwK9Ar/CwgLCgsCCvYK8Ar1CwcLIAs4C0kLUwtXC1oLWwteC2MLawt2C4ELiwuUC58LrwvCC9cL6Av1C/8MBwwRDCAMNgxRDHAMjwyqDMEM1wzyDRINNA1ODVoNWg1VDVINVw1fDWkNcA11DXcNcg1nDVcNSw1IDUwNTw1JDTwNLQ0jDRwNEQz7DN4MyAzFDNYM8Q0KDRYNGA0YDR4NMA1TDYYNww39DikORQ5dDoEOuA74Dy4PTQ9YD2MPgQ+1D/IQKBBLEGAQcBCBEJUQpxC3EMYQ1xDvEQsRKhFDEVIRUhFFETERHxEWERYRGhEYEQwQ+BDjENMQzhDUEOEQ7RDwEOgQ2xDQENEQ2xDmEOsQ5hDeENkQ2hDeEOMQ5BDiEOAQ3BDTEMUQtRCnEJ0QlhCNEH8QbBBZEEkQPhA3EDAQJRAUD/kP1w+vD4UPWw80DxAO7Q7NDrAOlg5+DmUOSw40DiEOFA4JDfwN6A3MDawNiQ1nDUUNIw0BDOEMwwynDIsMbQxODDEMGgwIC/sL7AvcC8wLvwu3C7ALpQuTC3sLZQtUC0sLSQtKC0sLSgtFCzsLLAsdCw8LAwr5Cu8K4wrUCsQKsgqdCocKcgpeCksKOAojCgwJ9AnbCcAJowmFCWkJUAk8CSsJHAkQCQYI/AjwCN4IyAiuCJYIgAhrCFYIQQgsCBcIAQfoB8wHsQeXB4AHagdSBzkHHwcGBu0G0wa2BpcGeAZaBj0GHwYBBeEFwQWdBXMFQwUMBNQEoAR2BFgEQwQyBBsD/APVA6sDgwNfAzoDEwLpAsACmgJ3AlQCLQIBAdQBqAF+AVUBKwD/ANAAogB0AEcAGv/t/8D/kv9l/zj/Cv7c/qz+ff5Q/iX9+v3N/Z39a/03/QT80fyf/G78PvwP+977rPt5+0j7HPr0+s76qvqE+lv6Lfn3+b35g/lS+S35FPj/+Ob4xvik+IH4X/g8+Bb37vfI96X3hPdh9zv3E/bt9sv2qvaL9m72U/Y69iD2APXa9bT1kvV39WL1T/U79SX1DfT09Nv0xPSv9J70jvR99G30XfRP9ET0OvQv9CX0HfQX9BP0D/QI8//z9fPr8+Tz4/Po8/Dz9/P58/jz9/P79AT0DfQS9BD0DfQM9Az0DfQN9A30EPQW9Bv0HfQc9B/0J/Q09D70QvRE9Ev0W/Ry9Ib0kfSW9J30rPTB9NT04fTo9O/0+vUJ9Rj1IfUm9Sv1NPVD9VT1ZfV29Yr1oPW59dH16PX99hX2L/ZK9mP2efaM9p/2tPbK9t/29PcJ9yL3Pvdd93r3l/ez99H37/gN+Cn4RPhg+H74nfi5+M/44Pjw+QX5IvlF+Wr5ivmg+a/5uvnD+cv50/nc+en5/PoR+h/6H/oU+gn6DPog+kD6Z/qY+uf7YvwE/LT9T/3B/hD+Uv6V/tX/BP8W/xD/Av73/un+x/6G/ij9wP1j/SD89/zi/N384/zz/Qv9J/0//VH9W/1k/XH9hv2h/b390v3d/eT97v3+/hX+Lv5F/lj+Z/52/oT+kv6f/q3+u/7H/tH+2f7k/vf/Ev8v/0X/T/9P/07/Wf9z/5j/vv/e//cADgArAE8AdgCXALAAxQDdAQIBLwFaAXgBgwGFAY0BqAHZAhYCUQJ/Ap4CtwLSAvcDIwNQA3gDmQO1A88D6wQLBC4ETwRsBIQEmwS2BNsFBwUzBVYFbAV3BXoFcgVTBRAEpgQpA7cDbQNWA2YDhwOrA9AD/QQxBGgEmQTCBOkFFwVKBXoFmgWqBa4FrwWuBagFnAWMBYEFegV2BWwFXQVLBTwFLgUbBP4E2QSwBIgEYQQ5BBED8APZA8gDtQOWA2sDPQMTAvEC0wK1ApICawI+AgsB1QGkAYABagFbAUQBHQDoALIAhwBsAGAAWwBSADsAFf/k/7n/n/+a/6D/ov+Z/4v/gv+D/4f/gf9s/03/Mv8h/xv/Hv8p/0P/af+R/6j/of9+/0v/GP7u/s7+uf6v/rH+uf6//rz+sf6l/p3+mf6P/nv+YP5H/jr+N/42/jD+Iv4Q/gD99/30/fP97v3g/cr9rv2U/YT9fP12/Wz9WP0+/ST9D/z//PT86/zj/Nz80vzD/K78l/yB/G78XfxJ/DH8Ffv7++X71fvG+7b7pvuV+4X7dvtp+177VvtQ+037SvtH+0P7P/s8+zb7Lvsh+xP7BPr3+u364vrW+sn6uvqs+qH6mPqU+pL6lPqZ+p76oPqf+pr6k/qN+on6iPqI+oj6hvqC+oD6fvp8+nv6efp3+nb6dvp1+nT6c/p1+nr6gvqL+pL6lvqZ+pz6n/qi+qL6ovqk+qr6tPq/+sr60vrZ+uD66Prx+vn6//sE+wj7D/sX+yD7Kfsw+zX7Ovs++0L7RftH+0n7TPtO+1D7UftQ+0/7TvtP+1H7UftQ+077TftN+0/7UvtW+1j7Wvtd+2H7ZPtp+277dPt6+3/7g/uH+4v7kfuW+5z7ovuo+7D7uPvB+8v71Pve++f77fvy+/X7+vwB/Af8DfwQ/BL8Fvwa/B78H/wf/B/8Ifwl/Cv8MPw1/Dz8RvxQ/Fn8Xfxh/GX8bPx2/H/8h/yO/Jb8oPyr/Lb8vPy//MD8wvzF/Mr8zvzS/Nb82/zh/Oj87vz1/P79C/0e/TX9Tv1m/X79lf2s/cL91f3k/e/9+P4A/gb+Cf4J/gr+Dv4a/iz+Qv5X/mr+ev6L/p3+sP7B/s/+3P7r/v7/E/8n/zf/Rv9W/2n/fP+M/5v/q/+//9f/7wAHAB4AOABUAHAAhwCXAKYAtgDIANoA6wD6AQ4BJgFBAVkBcAGJAacBxwHjAfUCAgISAikCRQJfAncCjgKrAssC6gMEAxkDMQNNA2gDewOJA5sDugPiBAgEIwQ2BEoEYgRwBGUEQAQWBAEEEAQ+BH4EywUrBZoGBgZRBnAGdAaGBsMHJgeOB9oIAAgLCAwICwgHCAEIAggSCDIIWAh5CI8IlQiJCGUIKAfYB4IHLwbeBooGOAXxBb8FogWMBXIFVwVFBUMFSQVFBSwFBgTnBNgE1gTSBMEEqgSbBJwEqgS5BL8EvgS6BLYErgSbBHYEPgP1A54DPwLgAocCOQHxAasBYgEaANgAowB8AGAASwA3ACQAEwAF//f/6v/b/8n/tP+e/4n/eP9q/1z/Tf87/yr/HP8R/wf+/v72/vD+7P7s/u3+7v7v/u7+6/7h/s7+tf6Z/n/+af5Y/kj+Of4p/hj+BP3q/cz9rv2U/YD9b/1d/Uv9O/0w/Sv9KP0k/SD9Hv0i/Sj9MP05/UX9WP1w/Yj9nv2z/cn95P4A/hr+MP5F/l7+ef6U/q3+xv7k/wn/Mv9Z/3j/kv+r/8r/8QAcAEwAfgC1AO4BJgFdAZABwQHwAhsCQgJoAo8CugLlAw4DNQNaA4ADpwPOA/UEHARGBHIEmwS+BNoE9QUVBTkFYAWGBawF1wYGBjcGZAaOBrYG4AcNBzUHWAd3B5YHuQfdB/0IGQg2CFkIfwiiCL0I0AjkCP4JGgkyCUMJUwlqCYsJrgnJCdgJ3wnlCeoJ5wndCdAJygnPCdkJ3gnbCdUJ0gnTCc8JwwmyCaMJngmcCZcJigl4CWkJYAlWCUkJOwk0CTQJOAk4CTIJKwklCR4JDgj0CNwI0AjSCNQIxgioCIoIfAh/CIMIdwhaCDkIIQgRCAcICggrCG8IwAjwCN0IlAhMCDwIbwi3B90H2AfAB7EHuwfaB/sIFAgpCD4ITAhGCCsICgf5CAUIJAhCCFEIVwhiCHkImAizCMUI0gjkCPwJFgksCT0JTgliCXgJigmWCZ0Jpgm3CdMJ+woqClwKigqvCscK1ArZCtwK4ArlCuwK8wr5CvoK8wroCuAK4wrzCw0LKQs/C00LVQtZC1wLYAtnC3ALfAuKC5YLnwuoC7ILwgvWC+sL/gwLDBUMHwwsDD0MVQxwDI8MrAzGDNwM7gz/DRANIQ0tDTINMg0wDTANNw1CDU4NWQ1fDV0NUg1BDTENKg0tDTUNOg04DS8NJQ0gDRkNDAz3DOAM0QzTDOMM9g0GDRENGw0pDT4NWw1/Da4N5Q4cDkoObw6SDsAO+g83D2YPfg+KD54PyBAGEEYQdhCPEJoQpBCzEMUQ1BDhEO4RAREeEUERYxF+EY0RjRF8EV0ROREaEQgRBBEGEQMQ+BDnENoQ2BDkEPYRAhECEPUQ5hDdEOAQ6hD0EPcQ8hDrEOgQ6RDvEPQQ9xD4EPcQ8xDrEOAQ0xDGELoQrhChEJMQhRB3EGwQYhBcEFUQTRA9ECMQAA/XD60Phg9hDz0PGQ73DtkOvg6lDosOcA5YDkYOOw4xDiMODQ3xDc8NrA2JDWUNQA0bDPgM2Ay7DKEMhwxuDFcMQwwvDBwMBwv0C+QL2QvSC8oLvQuqC5YLhAt2C24LawtqC2sLagtjC1cLRws2CykLHwsXCw0LAQryCuEKzgq5CqMKkQqBCnMKYgpNCjMKGAn8Cd8JwQmlCYwJewluCWIJVQlHCTkJLAkeCQsI8gjXCL0IpgiSCH4IaAhRCDsIJAgLB/AH1Ae6B6QHkQd9B2YHSwcuBxEG9QbbBsEGpQaJBmoGSwYsBgoF5AW4BYUFTgUZBOkEwwSlBI4EeARhBEQEIgP9A9gDswONA2QDOQMOAugCxgKlAoECWQIsAgAB1gGvAYgBXwE0AQcA2gCsAH0ATgAg//P/xv+Y/2r/O/8O/uH+tP6F/lf+Kf39/dH9o/1y/T/9DPza/Kv8fPxL/Bf74fut+3z7Uvst+wr65vrA+pT6Yfop+e35tvmJ+Wn5Uvk8+SL5Afjd+Ln4lfhv+Eb4Hff499n3uveY93H3SPcj9wP25fbH9qf2h/Zo9kv2LvYQ9fD10fW09Zv1hPVs9VP1OPUe9QX07/Tc9Mz0vfSt9J30jfR/9HL0ZvRa9E/0RvQ+9Df0MfQq9CP0G/QR9Aj0BPQG9A30FPQY9Bf0FvQZ9CD0J/Qr9Cv0KvQp9Cn0KfQo9Cr0L/Q39Dz0PfQ89D/0SfRV9F70X/Re9GX0d/SP9KL0qvSs9LH0wfTZ9O70+/UA9Qb1EfUh9TD1OfU99UH1SvVY9Wn1evWK9Zz1sfXI9eD1+PYO9iX2PfZW9m72hPaX9qn2u/bO9uL2+PcP9yn3Rvdj94D3nPe499b39vgV+DH4S/hm+IP4ofi9+NL44Pjs+P75HPlE+Wz5ivmc+af5svnB+dD52fnc+d/57PoC+hn6JPoh+hf6F/ok+jz6V/p3+rD7Fvuq/Fj8/v1//df+Fv5M/n3+o/64/r3+uf6v/pn+bf4l/cj9Z/0V/N38vPyt/Kv8tPzG/OH8//0a/S/9O/1D/U79X/11/Yr9mf2f/aT9rv3B/dv99v4O/iL+M/5D/lL+Xv5p/nX+gf6L/pH+mP6l/rz+2P7y/v/+//77/wD/F/88/2b/iv+k/7n/0f/wABYAOgBYAG4AgQCdAMQA8gEcATUBOQE2ATwBWQGOAcwCAQIkAjoCTwJxAqEC1wMJAzEDTwNoA4IDoAPAA98D/AQUBCcEPARaBIYEvQT1BR4FLwUqBRgFAATdBKcEWwQGA8EDpAO2A+oEKAReBIcEqwTSBPoFIAVBBWEFgAWeBbQFvAW3Ba0FpQWgBZoFjwWBBXUFbgVpBWAFUQU+BSsFGgUIBPAE0wSwBIsEZAQ8BBcD+APeA8YDqAN/A04DHALuAsQCmgJsAjsCCgHaAaoBewFSATUBJQEaAQgA6QC+AI0AYQBAACsAHgAQ//j/0f+f/2//UP9J/1L/W/9a/0//Qv87/zv/Of8x/yT/FP8G/vj+6v7g/uT++f8Z/zb/RP8+/yb/BP7c/rL+jv53/nH+ef6E/of+gv56/nX+c/5t/l3+Rf4r/hn+Ef4O/gf9+f3l/dH9xf3D/cj9zP3G/bP9lv14/WL9Vv1N/UL9L/0X/P385vzS/MP8uPyz/LH8rfyj/I/8d/xf/Ez8Pfwu/Bv8BPvr+9T7wfuw+6H7kvuF+3n7bPth+1b7TftG+0D7Ovs0+y77Kvsn+yL7GvsP+wD68Prg+tL6xvq9+rX6rfqj+pj6jfqE+n76fPp++oL6h/qK+or6hfp++nj6dPp0+nX6d/p3+nj6ePp3+nX6cfpu+mz6a/ps+m36bvpw+nT6efp++oT6ifqO+pP6mPqb+pz6nvqh+qf6sPq5+sD6xvrM+tL62/rk+u369fr8+wH7BvsO+xb7IPso+y/7NPs6+0D7R/tM+077T/tQ+1H7U/tV+1b7V/tZ+1z7Xvtf+1/7X/tg+2P7Z/tp+2v7bftv+3P7d/t7+377g/uI+4z7kPuT+5f7nvul+637s/u3+7z7wfvI+9H72/vk++z78fv1+/n7/vwG/A38E/wW/Bf8GPwa/B38IPwi/CP8Jfwo/C78NPw9/Ef8UfxY/F38X/xi/Gf8cPx6/IP8ivyQ/Jf8oPyq/LT8vPzE/Mv80/za/OD85Pzo/Ov87/z0/Pj8/P0A/Qj9Ff0o/UD9Wv10/Yv9of21/cb90/3a/d/95P3u/fv+B/4N/g/+Ev4c/jD+Sv5j/nf+hv6U/qP+tf7F/tL+3v7t/v//E/8m/zX/Q/9U/2f/ef+K/5j/qP+8/9X/7QAFABsANABRAG8AiACcAKwAuwDMAN0A7gD/ARQBKwFEAVsBcgGNAawBywHkAfYCBgIbAjYCUgJqAn4CkwKuAs8C7QMGAxwDNANQA2kDegOIA5sDugPfBAAEFgQpBEIEXwRtBF0EMQQEA/QEDQRCBH8EwAUOBXAF2wYxBl4GcAaJBsYHKAeOB9gH9wf6B/MH7wftB+0H7gf4CAwIJQg9CE0ITwg9CBIHzwd9BygG2gaRBkgGAwXKBaMFiwV1BVgFOAUkBSMFKwUoBREE7ATMBL4EvQS5BKgEkQSDBIYElwSnBK0EqgSlBJ8EkgRzBDoD6wOOAysCzAJ3Ai8B8gG6AX4BPAD4AL0AkABxAFsARgAyACEAEwAI//z/7f/a/8T/rf+W/4H/bv9d/07/QP8x/yX/HP8X/xH/Cv8B/vj+8/7z/vX+9/71/vD+6P7f/tL+wv6v/pz+if53/mb+Vv5F/jL+HP4C/eX9yf2x/Zz9if10/WD9T/1D/T39OP0x/Sv9KP0r/TL9Ov1D/U79Xv1z/Yn9nf2x/cb93/36/hT+K/5C/lv+eP6T/q3+xv7j/wb/Lf9S/3H/jf+r/8//+AAmAFgAjQDIAQQBPQFwAZ8BzQH7AicCUQJ5AqACyQLxAxgDPANfA4MDqQPPA/QEGQRABGgEjQSuBMwE6wUOBTUFXQWDBaoF1gYHBjgGZQaNBrUG4AcOBzoHXwd/B58HwQfhB/0IFQgwCFIIegieCLkIzgjjCP4JHAk2CUgJWQlwCZAJsQnKCdgJ4AnmCesJ6QnfCdMJzwnVCd4J4gneCdgJ1gnYCdUJygm4CakJogmfCZgJiQl4CWsJYglZCUsJOgkuCSsJLAktCSwJLQktCSYJEQjxCNUIygjOCNAIwAihCIgIhgiUCJYIeQhFCBoIEggvCFgIdwiICJcIpAicCGsIFQe+B5AHmgfAB1cHbweNB7sH9ggrCEkITwhMCE4IVQhTCEEIKAgbCCgIRghkCHQIfAiICKIIwgjeCO8I/AkQCS4JUQluCYEJiwmUCZ0JpwmyCb8J1Qn3CiIKUAp5CpoKsAq/CskKzwrVCtoK4QrnCuwK7wrsCuMK1grNCs4K3gr5CxoLNQtGC08LVAtbC2QLbwt7C4cLkwufC6kLsQu5C8UL1gvqC/4MDgwbDCYMMgxCDFcMbwyIDKEMugzRDOUM9Az+DQUNCg0NDQ8NEg0XDSANLA06DUcNTw1ODUMNMg0fDRQNEw0bDSUNKg0pDSQNHw0bDRMNBQzyDOQM4AzoDPYNAQ0IDRENIg0+DWANhQ2qDdMOAg42DmsOng7SDwkPQQ9xD48PoQ+0D9oQFxBeEJwQwBDOENEQ2RDoEPgRAxEJERERIRE9EV8RgxGjEbsRxhG+EaARcxFBERoRBRD/EP8Q/RD4EPUQ+xEKERoRIxEeEQ0Q+xDuEOsQ7hDzEPUQ9RD0EPYQ+hEAEQYRCxEPERARDhEJEQAQ9RDoENgQxxC0EKQQmBCOEIcQghB9EHgQcRBiEEkQJw//D9cPsA+KD2QPPw8dDwAO5g7MDrAOkw56DmgOXA5RDkEOKg4MDeoNxw2hDXsNUw0rDQcM5wzKDLIMnAyIDHcMZAxPDDcMHwwLC/4L9QvuC+ML0wvCC7ELowuYC5ALiguIC4cLhgt+C3ELYAtRC0cLQAs5Cy4LIQsTCwUK9grjCs4KuQqmCpUKgwpsClIKNwobCgAJ5gnOCbsJrgmlCZsJjQl8CWsJWwlKCTUJGwj+COQIzQi5CKUIjgh1CF0IRwgxCBkH/wflB80HuAejB4wHbwdRBzMHGQcCBuwG0ga0BpMGcAZMBiYF/AXKBZQFYAUzBRAE9wTiBMsErwSPBGsERgQjBAED3gO4A44DYwM7AxcC9wLVAq4CgwJXAiwCBQHeAbcBjgFkATsBEQDkALUAhQBVACj/+//N/5z/bP8//xP+6P66/or+Wv4t/gL91f2m/XT9Qf0Q/OP8tfyE/E/8F/vh+7L7iftl+0P7Hvr0+sX6j/pW+h757fnI+a35l/l/+WH5PfkX+PD4yvih+Hj4UPgs+A337ffI96D3ePdV9zr3IfcF9uP2vfaY9nj2XPZC9ib2CfXr9c71s/WZ9X71Y/VI9TD1HPUL9Pr06fTY9Mf0ufSt9KH0lfSI9Hv0cPRm9Fz0VPRO9Ej0QvQ59C70J/Ql9Cn0L/Qz9DT0NPQ39D30Q/RH9Ej0SPRI9Ej0R/RH9En0TvRV9Fn0WPRX9Fv0Z/R19H30ffR89IP0lfSr9Lz0wfTB9Mb01/Tv9QX1EvUY9R/1K/U79Ur1U/VW9Vn1YPVt9Xz1jPWa9an1uvXO9eb2APYZ9jH2R/Ze9nX2i/ag9rP2xPbW9un2/fcV9y73S/do94f3pPfA99v3+PgW+DT4UPhq+IT4n/i4+M743/ju+QP5IvlI+Wv5gvmM+ZD5mvms+cH50PnV+dj54vn3+hH6JPop+iX6Jfot+jv6Sfpb+n/6yvtE+9/8f/0J/XH9vP31/iP+Rv5e/mv+bP5g/kD+B/24/V79C/zK/KL8kPyO/Jb8ovyx/ML81fzp/Pv9CP0S/Rv9Kf07/U79Xf1o/XH9fv2R/an9w/3c/fP+B/4Y/iX+Lf4z/jv+Rf5O/lj+Y/50/oz+pP60/rb+sf6w/r/+4P8K/zH/T/9m/3z/lv+3/9j/9wASACgAQABdAIAApwDKAOAA6gDwAQEBJgFbAY8BswHCAcoB2wICAjwCfAKxAtgC8gMKAyUDQwNhA34DmQOzA9AD8gQgBFsEnQTYBP0FBATwBM8ErQSQBHEETQQoBBEEGQRGBIsE0gUIBScFOAVHBVsFdAWOBaYFuwXJBc8FywW/BbEFpAWYBYwFfAVqBVoFTwVGBToFKAUSBPwE6QTcBNEExQS0BJwEegRTBCwEBwPlA8IDmgNqAzYDAgLOApkCXwIjAeYBsAF/AVIBKAEGAO0A3gDTAMIApwCBAFYALAAH/+n/0P+5/5//ff9T/yj/Cf78/v//CP8N/wr/A/7+/vv++f72/vL+6/7h/tH+vf6r/qH+pf60/sX+0/7d/uH+3v7N/qz+fv5U/jr+Nf4+/kr+Uf5R/k/+TP5E/jX+H/4I/fb97f3q/eX92v3H/bL9ov2d/aD9pP2h/ZL9ef1e/Uf9Nv0p/Rr9CPzz/N78yfyz/J/8jvyF/IP8gvx7/Gz8Vvw//Cv8HPwO/AD77vvb+8b7s/uh+5L7hvt7+3D7Zfta+1D7R/s++zX7LPsi+xz7F/sU+w/7Bvr7+uz63PrM+r36svqq+qb6ovqc+pP6ivp/+nb6bvpp+mj6a/px+nb6d/pz+m36afpo+mr6bfpx+nT6dfp1+nL6bfpn+mP6Yvpj+mb6afps+m76b/px+nX6e/qD+ov6kPqT+pT6lfqY+p36pPqq+rD6t/q++sX6zfrV+t365/rx+vn7APsG+w77F/sf+yb7Lfs0+z37R/tP+1P7U/tT+1X7Wvte+2H7Yvtj+2X7aPtr+2z7bvty+3b7evt8+3z7fPt9+3/7gvuE+4j7jPuR+5b7mvud+6H7qfuy+7r7wfvE+8f7y/vR+9n74fvp+/D79fv6+//8BfwM/BP8Gfwb/Bv8GfwZ/Bv8Hvwi/CX8KPws/DH8OPxA/Er8U/xZ/Fz8Xvxj/Gr8dfyA/In8kPyV/Jr8n/yl/Kz8tvzB/M382fzl/O789vz8/QL9B/0L/Q/9Ef0V/Rv9J/05/U/9Zf14/Yr9nf2z/cn92/3k/eX94/3m/fD9//4M/hb+H/4s/kL+XP51/oj+lf6h/q7+vf7M/tn+5f70/wX/GP8o/zX/Q/9U/2f/ev+K/5j/qP+8/9P/6wABABgAMgBQAG8AiwChALIAwgDSAOMA9AEHARsBMgFIAV4BdQGQAa4BygHgAfMCBwIgAj4CWgJuAoAClAKxAtEC7QMEAxcDLwNMA2YDewOMA6IDwAPiA/4EEgQnBEMEYARpBE8EGwPvA+wEFgRXBJIEwgT5BUkFsAYQBlEGcgaQBsoHIgd/B8IH3QfaB9IH0gfaB+QH6gfsB+4H8AfxB/EH6QfTB6YHZQcYBswGiAZMBhMF3AWwBZEFfAVjBT8FGAT7BPME+AT4BOcEywSzBKgEpwSiBJIEfgRzBHkEiQSVBJcEkQSJBH4EZgQ0A+YDhAMdAr8CcAIvAfsBywGYAV4BHgDgAK0AiQBxAF0ASAAyACAAFAAMAAH/8P/a/8H/qP+P/3j/Yv9Q/0P/OP8v/yf/Iv8f/x3/GP8P/wX+/f76/vr++f7z/un+3v7W/s/+yf7B/rX+qf6b/ov+ef5j/kz+Mf4W/fv94f3L/bX9oP2J/XP9Yf1U/Ur9Qv05/TL9MP01/T79Rv1N/Vb9ZP12/Yn9nP2t/cL92f30/g3+Jf4+/ln+d/6V/rP+z/7u/xD/M/9V/3T/kf+y/9f//wAqAFkAjgDJAQcBQQF0AaIB0AIAAi8CXAKFAqwC1AL8AyIDRQNnA4kDrQPRA/QEFwQ6BF8EgwSkBMUE5wUOBTcFYAWIBbAF3QYNBj0GaAaOBrQG3gcMBzgHXweAB6EHwQffB/kIEAgqCEsIcgiWCLMIygjiCP8JHgk5CU0JXwl3CZUJsgnICdUJ3gnoCe8J7gnjCdYJzwnUCdwJ3wnbCdUJ0wnUCdIJyQm6Ca4JqAmjCZoJigl3CWoJYglbCU8JQQk1CS8JLAknCSMJIgkjCR0JCgjsCNEIxgjKCMoIvQioCJ8IrgjDCL8IjwhICBcIIAhZCJYIqwiNCFYIJQgBB9sHpgdrBz8HMgdAB28HiQe2B/MINAhjCHIIZAhOCEMIRwhNCEkIPwg8CEsIZwiDCJMInQisCMYI5wkECRkJKQlBCWMJiAmlCbQJtQmyCbAJtAnBCdsKAwo2CmwKlwqxCroKuQq4CrwKxQrQCtoK3wriCuIK3wrZCs8KxQrBCskK3wsACyILPQtOC1cLXAtkC3ALfQuLC5cLoQuqC7MLvQvJC9kL7QwBDBMMIQwrDDUMQgxTDGgMfgyUDKkMvQzPDN8M6wz0DPkM/Az/DQMNCQ0RDR0NKg03DUENRA09DS8NHA0NDQcNCw0UDRwNIA0eDRwNGQ0UDQsM/QzxDO0M9A0BDQ0NEg0UDRwNMQ1WDYINrw3ZDgEOLA5cDpQO0w8UD1IPgw+iD7IPwQ/jEB8QbhC7EO8RBhEIEQoRFBEmETcRQBFDEUcRUxFpEYMRnRG3EdAR4RHiEc0RoxFuET4RHREPEQwRDREPERIRGhEmETMRORE0ESYRFBEEEPkQ9BDyEPQQ+BD9EQQRCxEQERURGhEhESYRJxEkERwREBEAEO0Q2RDGELUQqhCkEKIQoBCfEJsQkRCAEGgQSBAkD/8P2A+yD4sPZw9HDysPDw7yDtQOtg6eDowOfg5vDloOQA4iDgEN3Q22DY0NZA09DRkM+QzcDMIMqwyaDIoMewxnDFAMOQwmDBoMEQwHC/kL6AvYC8oLvwu1C6wLpQuhC6ELnwuXC4cLdQtnC2ELXQtXC00LQAs0CysLIgsSCv0K4grJCrIKnQqHCm8KVwo/CikKFAoCCfIJ5gncCdAJwAmtCZkJhwl0CV4JRAkoCQ8I+QjkCM0IswiYCH8IaghXCEMILAgSB/gH3wfHB60Hkgd1B1oHQwctBxYG+gbYBrIGiwZjBjwGEQXjBbMFiAVkBUkFMwUcBQAE3gS4BJEEbQRJBCcEAgPbA7MDjANoA0cDJgMBAtgCrAKBAlgCMQIJAd8BtAGLAWUBPwEVAOYAtgCHAFsAMAAC/9D/nv9v/0P/GP7r/rz+jP5e/jP+B/3Y/ab9c/1E/Rf86/y8/Ij8Uvwd++/7x/uk+4H7Wvst+vr6wvqK+lf6LPoM+fP53fnD+aP5fflU+Sv5AvjZ+LL4jPho+Eb4Iff699H3q/eM93P3W/c/9xv28fbJ9qb2ivZx9lb2OfYa9fz14fXH9a31kvV49WL1UPU/9S31F/UB9O703/TU9Mr0vvSx9KT0l/SL9ID0dfRt9Gj0Y/Rd9FT0TfRJ9Ev0T/RR9FH0U/RX9F70ZfRp9Gn0aPRo9Gn0afRp9Gv0bvRx9HH0b/Rv9Hf0hfSU9Jz0nfSd9KT0tvTL9Nn03PTb9N/07vUE9Rj1JvUv9Tj1RfVV9WP1avVs9W71c/V99Yv1mfWn9bT1wvXV9ez2B/Yj9jz2UvZn9nz2k/ap9r720Pbi9vX3C/ch9zr3VPdy95H3rvfJ9+D3+PgT+DL4Ufhs+IT4mviw+Mf43vj1+Q/5LPlL+WX5c/l3+Xn5gfmU+av5v/nJ+dD53Pnw+gf6Gvoj+iX6Kfow+jj6PvpF+lr6j/rr+2f78fx0/OT9Pv2E/br94/4D/hj+IP4T/er9pv1S/P38tvyH/HP8dvyI/J/8sfy6/Lz8vPzA/Mn81Pzc/OT87vz+/RT9Kv09/Uz9Wv1r/X/9lv2v/cb92f3n/e798f3z/fr+Bv4W/ib+OP5M/mD+cP52/nP+bv50/ov+rf7S/vH/Cf8g/zv/Wf94/5T/rf/H/+L//QAYADIATwBtAIkAogC6ANcA/gEqAVIBaAFsAWoBcwGTAccCAQIzAlgCdgKSArMC2AL+AyIDRwNvA50D0wQPBE8EjAS7BNQE0wS/BKMEjQSABHgEcgRrBG4EhQS1BPUFMgVcBW0FbQVpBWwFeAWKBZoFpgWrBasFpQWcBY4FfwVtBVoFRQUwBR4FDgUBBPIE3wTIBLEEoQSZBJsEoQSjBJoEgQRcBC8EAAPSA6UDdwNGAxMC3gKlAmgCJQHiAaUBbwFAARUA7gDNALMAnwCIAGsARQAc//P/z/+u/5D/c/9Z/0H/KP8N/vD+1f7C/rj+tv64/rr+vP68/rv+uP6z/q7+p/6d/pL+hf58/nj+eP53/nT+cv59/pb+t/7M/sP+mv5g/ir+C/4F/g3+GP4e/h3+GP4P/gL98f3e/c/9xv3C/b/9uP2r/Zz9jv2G/YL9fv1z/WL9Tf05/Sn9G/0L/Pj85PzS/ML8sfyb/IP8bvxh/Fv8WfxU/Ej8N/wj/BH8APvy++T71/vK+7v7q/ub+4z7f/t0+2n7X/tW+077Rvs7+y77H/sS+wn7BPsA+vr68Prj+tb6yPq6+q36ofqZ+pT6kfqN+on6g/p7+nH6ZfpY+lD6UPpW+l/6Zfpn+mX6Y/pk+mj6bfpw+nP6dPpy+m/6avpk+l/6Xfpe+mH6Zfpp+mv6bPps+m76c/p7+oL6iPqJ+on6ifqL+o/6k/qZ+p/6qPqy+rv6wvrH+s/62frm+vL6+/sD+wr7Evsb+yP7Kvsx+zz7R/tQ+1X7VftW+1j7Xvtk+2j7avts+2/7c/t2+3j7e/t/+4T7ifuL+4r7h/uF+4X7h/uJ+4z7kfuW+5z7oful+6n7sPu5+8H7x/vL+8/71Pvb++L76Pvu+/T7+vwB/Af8DPwR/Bb8Gvwd/Bz8G/wa/Bv8Hvwj/Cj8LPwv/DP8OPw+/EX8TPxT/Fj8Xvxl/G78efyF/JD8mfye/KD8ovyl/Kv8tPy//Mz82Pzk/PD8/P0H/RD9F/0d/SH9JP0m/Sz9N/1I/Vz9cP2A/Y79oP25/dn99f4F/gT9+P3s/ev99v4J/h7+MP5C/lb+av58/or+lv6h/rD+v/7O/tv+5/71/wX/Ff8k/zL/Qf9S/2b/eP+H/5X/pf+6/9L/6gACABoANgBUAHIAjACiALQAxQDWAOgA+wENASEBNQFIAV0BdAGQAa0ByAHeAfECCAIjAkACWQJsAn4ClAKyAtAC5wL4AwgDHwM9A1sDdAOKA6UDxgPoBAIEFQQpBEMEWwRbBDcEAQPdA+kEJARsBKIEvwTeBRwFewXhBi8GYAaHBsAHEAdkB54HswewB6wHtAfJB90H5wfjB9MHvAekB4wHdQdYBy8G+Aa6Bn0GRwYXBekFvgWaBX8FagVNBSUE9gTSBMIEwwTGBL4ErgSeBJgElgSQBIIEcQRqBHAEfASDBH8EcwRkBE0EJQPhA4UDHwLDAnoCRAIYAewBuwGBAUIBAgDJAJ8AhABwAF4ASAAxAB8AFAANAAL/8f/a/8D/pf+K/27/Vv9E/zv/Nv8y/y3/Kf8n/yf/JP8c/xH/B/8B/v7++/70/uj+2/7T/s/+zP7I/sL+uv6x/qT+k/58/mH+RP4o/g799v3g/cr9tP2e/Yr9ef1r/WD9VP1I/UD9P/1D/Un9UP1W/V79bf1//ZL9ov2w/cD91P3t/gf+IP45/lX+c/6U/rX+1/75/xz/Pv9e/3z/m/+8/98AAwApAFIAgwC8APoBNQFqAZsBywH9Ai4CWwKFAq0C1gMAAykDTQNvA5ADsQPTA/QEFwQ8BGMEigSvBNIE9QUbBUMFawWSBbsF5gYVBkIGawaPBrQG3AcHBzIHVwd5B5oHuwfaB/QIDQgoCEkIbwiTCLAIygjlCQQJIwk+CVMJZwl/CZwJtgnKCdcJ4gnuCfcJ9QnoCdgJzwnSCdoJ3wneCdoJ2AnZCdgJ0AnECboJtAmuCaIJkAl9CXAJaAliCVoJUAlJCUUJQAk1CSgJHwkZCRIJAgjoCNEIxQjFCMYIwAi5CMMI4Aj7CPIIughsCDoIQwh3CKIIlwhWCAcH1wfVB+UH5gfJB5wHdwdoB78H0AfyCB0IRwhhCGMIUAg7CDMIOwhICE0ISwhMCFkIcgiLCJ4IrAi9CNcI9wkUCSsJQAlaCXwJnQmzCboJtAmpCaMJpwm6Cd0KEApKCn8KowqwCq4KqAqoCrIKwQrPCtYK1QrRCs4KzQrOCs4KzArLCtEK4Qr7CxsLOgtTC2ILawtxC3kLgguOC5sLpwuyC74LzAveC/UMDAwhDDAMOwxCDEkMVAxiDHMMhwyaDK0MvQzKDNQM3QzlDO4M+A0ADQcNDg0UDR0NJw0xDTgNOQ0yDSUNFg0LDQcNCQ0PDRQNFw0XDRYNEw0MDQMM+Qz2DPwNCg0bDSYNKQ0qDTINSQ1xDaYN3g4TDkAOaA6TDscPCA9RD5IPvg/TD9sP8BAjEHUQ0BEaEUERSRFEEUYRVhFrEXwRgxGIEY8RnBGtEbsRxRHOEdcR3xHcEcoRpxF8EVUROhEtESkRKBEnEScRKhEyEToRQBFAETgRKxEcEQ4RBBD+EP4RBBEMERMRGBEaER0RIREoES8RNBEyESgRGREGEPIQ3hDNEL8QthCxELEQsxC1ELIQqBCXEH8QYhBDECEP/Q/ZD7UPlA92D1gPOA8XDvYO2w7FDrQOow6ODnMOVQ42DhYN8w3MDaINeQ1RDS4NDQzuDNEMuAylDJgMjQx+DGsMVgxDDDQMKAwbDAwL/AvuC+IL2AvNC8ILugu3C7cLtAupC5cLhAt3C3MLdAtxC2oLXwtXC1ILSws9CyYLCArrCtMKwAquCpsKhgpyCl8KTQo9Ci0KHgoOCf0J6gnWCcIJrwmbCYUJbQlVCT0JJwkPCPQI1wi6CKAIjAh6CGgIUwg7CCEIBgfsB9IHuAeeB4YHbgdVBzoHGQbzBsoGoAZ4BlIGLQYIBeMFwgWjBYcFaQVIBSQE/gTZBLYElARwBEsEJAP8A9YDsgOQA24DSwMlAvwC0wKrAoQCXAIyAgYB2gGyAYwBZgE9ARAA4QC0AIkAXwAzAAL/0f+g/3L/Rv8Y/un+uv6N/mP+OP4K/dr9qf15/Uz9H/zx/MD8jfxc/DD8Cfvm+8P7m/ts+zf6//rJ+pn6cfpS+jj6H/oE+eP5vfmS+Wb5PPkV+PD4zPin+ID4WPgw+Ar35/fJ9633kPdv90n3IPb59tf2u/ah9ob2aPZJ9iz2EvX59d/1xPWr9Zf1h/V39WP1SvUv9Rj1B/T69O/05PTY9Mz0wfS09Kb0mPSM9IX0gfR+9Hr0dvR09HX0dvR19HP0dPR69IL0ivSM9In0hvSF9If0i/SP9JH0kfSQ9I70jPSO9Jj0pvS09Lr0u/S99Mb01/Tq9Pf0+vT69P31CPUY9Sf1NPVA9Uz1W/Vq9XX1evV89X71gvWL9Zf1pvW19cP10vXj9fn2FPYx9kr2YPZ09oj2n/a29sr23Pbv9wT3G/cy90n3YPd795n3t/fR9+b3/PgV+DT4Vfhz+In4m/iu+MT43vj6+RX5MPlH+Vn5Y/lo+W35dvmH+Zz5rvm7+cb50/nj+fP6AfoL+hX6Ifot+jT6Nvo3+kX6bPqx+xD7ffvv/Fr8uf0I/Uf9eP2f/b39yv29/ZD9SPzz/KT8afxL/Ej8X/yF/K38yPzP/MT8s/yo/Kf8rPyx/LX8vfzN/OX9Af0Y/Sj9Nf1E/Vb9bP2C/ZX9ov2p/ar9qv2u/br9z/3o/gD+Fv4o/jb+PP47/jf+Nv5C/lr+ef6U/qv+v/7X/vX/Ff8z/07/af+J/6n/xP/X/+b/+QAXAD4AZgCHAKUAxADoAQsBIwEqASQBHAEhATgBXwGNAb0B7AIaAkkCeAKoAtsDEgNOA4wDygQEBDYEXAR0BH8EgAR8BHoEfgSFBIwEjwSPBJQEpgTKBPkFJgVFBVAFSwVBBTwFPgVGBUwFTQVLBUgFRQVABTcFKAUVBQEE7wTeBM4EvgSuBJwEiQR1BGEEUwROBFUEZQR0BHkEbARNBB8D6AOwA3gDQgMOAtgCoAJiAiAB3AGdAWYBNwEMAOMAvQCbAH0AXQA3AAb/0f+e/3X/WP9B/yr/Ev75/ub+1/7L/r3+qv6V/oH+cv5r/mr+bf5w/nH+bf5n/mD+Wf5R/kr+R/5L/lP+V/5P/jz+LP4y/lb+kf7I/t7+xf6J/kH+CP3o/d393f3d/dr91f3P/cn9wP22/av9ov2b/Zb9j/2I/YH9e/13/W79Xv1H/S39Gf0N/Qf8//zx/N38xvy0/KT8lfyC/Gz8V/xJ/EH8PPw1/Cr8HPwM+/z76vva+8v7wPu5+7D7pfuW+4b7ePtr+2D7WPtS+037R/s8+yr7FfsD+vb68Prr+uP62PrL+r/6tPqq+p76kvqI+oD6e/p4+nb6dfpx+mf6WfpJ+j36OPo9+kb6T/pV+ln6Xvpk+mv6cfp0+nP6cfpu+mr6Zfpi+mD6X/ph+mT6aPps+nH6c/pz+nP6dfp4+nz6f/p/+n/6gPqD+oj6jfqS+pn6ovqs+rX6u/q/+sb60frf+u76+PsA+wj7Efsc+yb7Lvs2+z/7SvtT+1j7Wvtb+177Y/to+237cPt0+3r7gPuD+4X7hvuI+437kfuU+5P7kPuO+477j/uQ+5P7l/uc+6H7pvur+7D7tvu9+8P7yPvN+9P72/vj++r77vvz+/j7//wH/A78EvwV/Bj8G/wd/B38Hfwd/B/8Ivwm/Cr8Lvwy/Db8Ovw+/EL8SPxP/Fj8YPxn/G/8efyE/JD8m/yg/KP8pPyo/LD8uvzF/M381fze/Or8+P0H/RP9Hf0m/S39M/03/T39Rv1W/Wr9fv2M/Zf9pf29/d/+Av4Z/hz+Df36/fH9+f4Q/iz+Rf5X/mP+bP50/n3+iP6W/qf+uf7J/tf+4/7x/wD/D/8d/yz/Pf9Q/2P/c/+B/4//of+3/9D/6gAEAB8APABYAHMAigCeALEAxgDbAO8BAwEVAScBOAFJAVsBcgGOAasBxgHdAfMCCwImAkICWQJrAn8CmAK0As4C4QLuAv4DFwM3A1UDbwOHA6QDyAPqBAMEEwQjBDcERwRBBB4D7wPZA/EEMgR4BKQEtATDBPMFRwWqBf0GOwZxBrMHAgdKB3YHgAd7B34HkgexB8sH1QfLB7IHjgdlBz0HGAb0Bs8GpAZ0BkQGGAXvBcgFpAWFBWwFVQU2BQoE1wStBJgElwSdBJ4EmASOBIgEhQR9BHEEZARfBGQEbARvBGgEWARABBkD3AOJAykC0QKPAmUCSAImAfUBtQFtASQA5ACwAI0AeABoAFgARgAyACMAGAAOAAL/8P/Z/8D/pP+G/2f/TP87/zX/Nf80/zD/K/8p/yn/KP8i/xf/DP8E/wL/AP76/u/+4v7Z/tP+z/7L/sX+v/63/q7+n/6K/nD+VP45/iD+Cf3y/d39yP21/aT9lv2J/Xv9bf1g/Vf9U/1U/Vf9Wv1f/Wn9e/2Q/aP9sP25/cP90/3q/gT+Hv43/lL+b/6R/rT+2P78/yD/Qv9j/4L/ov/D/+YACQArAFEAfwC1APABKwFhAZQBxgH4AigCVQJ/AqkC1QMBAysDUQNzA5MDswPUA/YEGgRDBG8EnATFBOoFDQUvBVQFegWhBckF8gYdBkgGbwaUBrkG4AcIBy8HUQdyB5QHtwfYB/YIEggvCFEIdgiZCLgI0gjtCQsJKAlBCVUJaQmCCZ4JuQnOCd4J6wn3Cf0J+QnqCdkJ0QnVCd8J6AnqCeoJ6wntCe0J5wncCdEJxwm8Ca4JnAmLCYAJeglzCWsJZAlhCWIJXwlTCUEJMAklCRwJDgj5COII1AjQCM8IzwjUCOcJCAkgCRUI4AiZCGkIZgiACIsIbAgwCAUIEQhNCI8IpQiACDYH8AfGB/UICgggCDMIQghLCEoIQgg5CDkIQghKCEoIRAhBCEoIXwh5CJAIogi1CMwI5wkCCRoJMwlQCW8JiwmbCZ0JlgmOCY0JmAmxCdgKCQo6CmIKfAqGCooKkAqdCq8KvwrHCscKwQq8Cr0KxArQCtwK4griCt8K4QruCwgLKwtNC2gLdgt7C30LgwuOC58LsAvBC9EL4wv6DBQMLgxDDFAMWAxdDGMMagx0DIAMjgyfDLEMvwzIDM4M0wzbDOgM9w0EDQwNEQ0VDRwNJA0sDTINMg0sDSINFw0MDQQNAQ0DDQcNDQ0QDQ8NCg0CDPwM+w0CDRANIg0yDT4NRA1IDVINaQ2RDcsODw5RDocOrw7SDv4PPA+GD8sP+BAKEBUQMxB1ENMRMhFzEYwRiRGBEYURlhGpEbURuBG8EccR2BHpEfIR8hHuEecR3RHMEbERkRFxEVoRTRFJEUcRRBE/ETwRPBFAEUcRTRFPEUoRQRE0ESgRHhEZERgRGxEgESURKBEnESYRJREoES0RMBEuESQRExD/EO0Q3hDSEMcQvRC2ELQQthC7ELwQtxCpEJQQexBeED8QHg/8D90Pvw+hD4EPXg86DxsPAg7wDt8OyQ6tDowOaw5LDisOCA3hDbcNjg1nDUMNIQ0ADOIMyAy2DKoMoQyVDIYMcgxfDE0MPQwvDCAMEgwEC/gL7QvgC9QLywvGC8QLwAu1C6ULlAuJC4cLiguMC4kLggt8C3cLbwtgC0gLLAsTCwEK9AroCtkKxgqxCp0Kigp4CmYKUQo7CiYKEQn9CeoJ1gnCCawJlgmACWkJUAk1CRgI/AjhCMoItgiiCI4IeAhhCEgILwgWB/wH4wfKB68HlAd2B1UHMQcKBuIGugaUBnEGUQY0BhgF/QXeBbwFlQVrBUEFGgT5BNoEugSXBHAESAQhA/0D2QO1A5ADaQNDAx0C+ALTAq4ChwJdAjICCAHeAbcBjwFlATgBCwDfALQAigBeADAAAf/S/6T/dv9F/xX+5v66/pD+Zv47/g393v2u/X/9UP0h/PH8w/yX/G78R/wj+/370/uk+3D7O/sI+t36uPqY+nz6YPpC+iD5+vnO+aH5dvlP+Sr5Bvjg+Lf4jvho+Eb4JvgH9+X3wfeb93X3UPct9w328PbT9rb2mPZ69l72Q/Yq9g/19PXc9cn1ufWp9ZX1e/Vf9Ub1M/Uk9Rj1DfUC9Pn07/Tj9NP0wvSz9Kn0pPSi9KD0n/Sf9KD0n/Sb9Jf0lvSc9KT0q/Ss9Kf0ofSg9KT0rPSz9Lb0tvS09LH0sPS09Lz0x/TQ9NP01PTY9OP08/UE9Q/1FPUW9Rr1IvUs9Tf1QvVO9V31bfV69YP1h/WK9Y31kvWa9aX1tPXE9dT15PX19gr2I/Y+9lf2bfaC9pj2sPbG9tj26Pb59w73J/c/91T3afeA95z3uvfX9/D4Bvgf+Dz4XPh5+I/4oPiw+MX43fj4+RP5LPlA+VD5Wvlh+Wf5cvmA+Y/5nfmq+bb5xPnR+dz55Pnu+f76Evol+i/6L/ot+jf6VvqN+tj7L/uN++z8SPyY/Nr9Df01/VL9Xv1O/R/82fyL/Ej8HfwN/Bn8Pfxw/KP8xvzP/MD8qPyV/Iz8i/yL/Iz8kvyi/Lr81fzq/Pj9BP0T/Sf9Pv1R/V79ZP1k/WT9Z/1y/Yf9pP3D/d798/4A/gb+Bf4A/fv9/f4L/iP+P/5Y/mz+f/6W/rH+z/7u/xD/Nv9g/4T/mv+i/6b/tf/WAAMALgBMAGAAdQCVAL0A4ADtANwAtwCTAIcAnwDZASkBfAHFAf8CMAJkAqIC6QMzA3gDsAPYA/ED/gQDBAgEEwQnBEEEXARwBHgEdgRvBGwEdASKBKoEzATnBPUE9gTwBOkE5ATfBNgEzwTGBMAEvQS7BLQEqASZBIwEgwR9BHUEaQRZBEYENAQiBBAEAwP9BAMEEwQoBDgEOQQnBAEDzAOOA00DCwLLAokCRgIAAboBeQFBARMA6gDCAJsAdQBSAC8AB//W/5v/Xv8q/wX+7v7d/sz+t/6j/pL+iP6D/n3+cv5h/kv+Nv4o/iH+IP4h/h/+HP4Z/hf+Ff4S/g7+Df4T/h7+JP4e/gv99/34/hn+Vv6Y/sH+v/6V/lT+FP3i/cL9rf2f/ZX9jv2K/Yr9iv2K/Yj9hP1+/XX9av1h/V39X/1h/Vr9Rv0n/Qb87/zm/Of85fza/MX8rfyY/If8efxo/Ff8SPw8/DP8Kvwe/BH8A/v1++b71PvB+7H7p/uj+6D7mfuN+337bftf+1P7TPtI+0b7Qvs3+yX7Dfr3+ub63frW+s36wfq0+qn6oPqZ+o/6hfp5+nD6afpm+mX6Zfpi+lr6Tfo++jH6Kvos+jL6OfpA+kj6U/pg+mv6cvpz+nD6a/pl+l/6W/pa+lz6YPpk+mj6bPpx+nf6fPp++n36evp5+nj6ePp5+nr6fvqF+o76lfqa+p/6pfqs+rP6uPq9+sT60Prd+uv69fr9+wb7Efse+yr7M/s6+0P7TftX+1/7ZPtn+2r7bvty+3b7evuA+4b7jfuQ+5D7j/uP+5L7lvuZ+5r7mfuZ+5r7nPud+5/7ofuk+6j7rfuy+7j7vfvC+8b7yfvO+9b73/vp+/D79Pv4+/38BPwM/BL8FvwZ/Bv8Hvwf/CD8IPwh/CT8KPwr/C38L/w0/Dn8QPxF/En8TvxV/F78Zvxs/HD8dfx+/Ij8kfyX/Jr8nfyl/LL8wPzL/NH81vzc/Of89v0E/RL9Hf0q/Tf9RP1N/VT9Xf1r/X39kf2e/ab9rf27/dT98v4L/hX+D/4F/gH+Df4k/kH+WP5m/mv+bP5u/nX+gP6Q/qL+s/7D/tL+4P7u/v3/C/8Z/yn/O/9N/17/bP96/4n/nf+1/87/6QADAB8APABYAHEAhwCbALEAyQDhAPcBCgEbASwBPAFMAV4BcwGMAagBwwHdAfUCEAIsAkcCXgJyAoYCngK5AtAC4gLzAwkDKANJA2UDegOOA6cDxwPmA/oEBgQSBCMEMQQuBBMD8wPpBAgERwSHBK0EvATMBPYFPwWTBeEGJgZsBrsHCAc8B0sHPgcwBzoHXQeHB6QHqQeaB34HWwczBwgG3ga3BpMGbgZFBhsF8wXNBasFjAVyBV0FRgUlBPcEwQSTBHoEdwSABIgEiASCBHsEdARtBGIEWARTBFQEWwRfBFwETAQrA/MDogNBAuQCngJ4AmgCWgI5Af0BrQFXAQgAyACZAHoAaABdAFIARQA4ACoAHgAQ////6v/U/7z/ov+D/2P/R/82/zD/MP8v/yr/Jf8i/yP/I/8f/xX/Cv8E/wP/Av79/vP+5v7b/tT+z/7K/sT+vf62/q7+ov6R/nr+Yv5J/jH+G/4G/fL93/3O/b/9sf2i/ZP9hP13/W39af1o/Wn9a/1w/Xz9jv2j/bT9v/3F/c392/3w/gj+Iv47/lX+c/6U/rf+2/7+/yH/Q/9j/4T/pf/I/+wAEAA0AFoAhgC5APABKAFeAZIBxAH1AiUCUgJ/AqsC2AMCAyoDTgNwA5IDtQPZA/0EJARPBH4ErATWBPoFHAU+BWMFigWxBdgF/wYoBlEGeQafBsUG6wcQBzIHUgdyB5UHugfeB/8IHgg9CGAIhAimCMMI3Qj2CRAJKgk/CVEJYwl7CZgJtgnQCeUJ9An/CgMJ/AnuCeAJ2wngCewJ9Qn4CfoJ/goDCgUKAAn1CegJ2gnLCbsJqgmdCZYJkgmMCYMJewl4CXoJeglxCWAJTglDCTwJMwkiCQ0I/AjzCPAI8Qj2CQQJGAkjCRQI6AiwCIgIfQiACHgIXAhCCE8IkQjuCS8JKQjdCHMIHAf0CB0IOwhHCEYIQQhBCEMIRQhFCEUIRQhDCDsIMggwCDsIUghsCIIIkwigCLEIxgjeCPkJFgk2CVQJawl4CXoJeAl5CYQJmwm8CeMKCQopCkEKUApcCmwKggqaCqwKtQq0Cq8KqwqsCrMKwArSCuQK8Ar1CvEK6grrCvsLGgtBC2MLeQuBC4QLiguZC64LxAvXC+cL+gwRDC0MSAxdDGkMcAx1DHsMgQyIDI4MlwykDLMMwQzKDM8M1AzdDOoM+Q0EDQoNDQ0SDRoNIw0rDSwNKQ0jDRoNEA0FDPsM9Az1DPsNBA0JDQYM/wz4DPkNAg0TDSUNNw1GDVMNYA1sDXsNkw26DfUOQA6MDsgO8Q8PDzcPcw+/EAUQMhBGEFUQfBDHESgRghG4EccRvxG4Eb8R0BHcEd0R1xHTEdkR6RH6EgYSCxIKEgER7xHSEa4RihFvEWERXRFeEV4RWxFYEVcRWhFgEWcRaxFqEWMRWRFOEUcRQxFCEUERQBE/EUARQRFAETsRMxEsESkRKBElER0RERECEPYQ7RDmENwQ0RDFEL0QvRDBEMUQxBC7EKsQlRB6EFwQPBAcD/8P4g/FD6QPgQ9hD0cPMw8gDwoO7g7LDqcOhA5jDkEOHA30DcsNow19DVkNNw0XDPoM4gzPDMIMtgypDJoMiAx1DGIMUgxDDDYMKAwaDAwL/wvyC+QL2QvQC8sLxgvAC7YLrQumC6ULpwuoC6cLowueC5cLjgt/C2oLVAtBCzYLLwsnCxoLBgruCtcKwgquCpkKgQppClEKPQoqChcKAwntCdcJwgmrCZIJdglYCTwJJQkSCQAI7AjVCLsIogiKCHQIXAhDCCgIDQfwB9IHsQeOB2sHRwckBwAG3Aa5BpkGewZhBkYGKgYLBeYFvQWRBWcFQQUgBQEE4AS8BJUEbgRJBCYEAgPaA7EDiQNiAz8DHQL6AtQCrgKGAl8CNwIOAeQBuQGOAWMBNwEMAOAAswCGAFoALwAE/9f/qP94/0f/F/7r/r/+lP5o/jv+Df3e/a79ff1N/SD89vzP/Kj8gfxY/C/8AvvS+6D7bvtC+xz6/Pre+sD6ofqA+lz6NfoK+d35svmK+WT5PvkV+Ov4w/ig+ID4Yfg/+Bn38ffL96j3h/dm90X3JPcE9uT2xvap9o32cvZY9j72JPYN9fr16fXW9cD1pvWL9XP1YPVQ9UP1OPUu9Sb1HfUQ9P/07fTd9NL0zPTI9Mb0xPTD9MP0wfS99Lj0uPS99MX0zPTN9Mj0w/TB9Mb0zfTU9Nf01vTU9NL00/TX9N305PTo9Or07PTz9P71DfUa9SP1KfUu9TX1PfVE9Ur1UvVe9W31ffWJ9ZH1lvWa9Z71pPWq9bT1wfXQ9eH18fYC9hf2MPZK9mP2evaQ9qf2wPbW9ub28/cB9xT3LfdH91z3b/eE9533vPfc9/j4EPgo+EL4Xvh5+I/4oviz+Mb43Pj1+RD5K/lD+VP5W/ld+V/5Zvly+X/5jfmZ+af5tvnE+c350vna+er6AfoY+iX6Jvoi+if6P/pq+qb66/s6+4774/wx/HH8ovzE/Nj82fzD/JT8VvwZ++v71PvT++n8EvxG/Hv8oPys/KD8ivx1/Gn8ZPxh/GD8ZPxy/Ij8n/yx/L/8zPze/Pb9DP0d/SX9J/0o/Sz9Nv1I/WH9gP2d/bX9w/3J/cj9wv28/bn9vf3M/eb+Bf4k/j7+Uv5j/nX+jv6v/tv/Dv89/17/bP9u/3L/hf+p/9P/9QAHABAAIABAAGoAigCLAGIAHv/d/8P/5wBHAMcBQwGgAdkB/wIqAmkCuQMLA04DeAOLA5IDkgOWA6ADtgPWA/sEGgQrBCwEIQQVBBAEEwQhBDcEUgRrBH8EiQSIBIAEcwRjBFEEPwQwBCYEIAQcBBUECgP+A/gD+AP9BAED/gPzA+QD0wPDA7QDpgOeA58DqgO9A9ID3wPdA8YDmwNfAxgCzAJ9Ai0B3QGOAUUBBgDSAKcAgABaADMADf/p/8P/mP9m/zD+/f7T/rX+of6Q/n/+a/5Z/kn+P/44/jH+Jv4X/gX98/3m/d792f3V/dD9zP3L/c/91f3Z/df90/3T/dj93v3e/dX9xv3B/dH9+P4q/lP+Zf5Z/jX+B/3Y/bD9kP13/WX9Vv1M/Ub9Rf1K/VL9XP1g/Vv9T/1B/Tn9O/1A/T/9L/0R/O/81vzM/Mz8zPzC/K78lvyA/G/8YfxT/Eb8O/wx/Cf8GPwH+/X75vva+8z7uvul+5T7i/uJ+4n7hft8+237XPtO+0L7Ovs2+zP7L/sm+xb7Afrr+tn6zPrC+rf6q/qe+pT6i/qE+nz6dPpt+mb6YPpb+lj6VvpT+k36Q/o4+i36Jvok+iX6J/ot+jb6RPpU+mD6Zvpn+mL6XPpU+k36SPpJ+k76V/pf+mX6afpu+nX6e/p/+n/6e/p3+nX6dfp1+nj6fvqH+pP6nfqk+qj6q/qw+rb6u/rB+sn60/rf+ur68/r7+wX7EPsc+yf7L/s2+z/7SvtX+2L7a/tx+3f7fPuA+4T7iPuM+5H7lvuY+5f7lvuW+5j7nPuf+6D7ofui+6X7qPuq+6v7rfuu+7L7tvu8+8L7x/vL+8370PvU+9z75fvu+/X7+fv+/AP8CvwQ/BX8Gfwd/CL8JPwl/CP8Ivwl/Cr8L/wy/DH8Mfw1/D38RvxO/FT8Wfxg/Gn8cPx0/HX8dvx6/ID8h/yL/I78lPyf/K/8wPzM/NP82fzh/O38/P0K/RX9IP0v/UH9VP1k/XD9ef2F/Zb9qf23/b79wP3E/c/94P3z/gD+B/4L/hP+I/45/lD+Yf5r/m7+cP51/n7+i/6a/qn+tv7D/tH+4f7x/v//C/8Y/yb/Nv9H/1f/Zf90/4b/nf+1/87/5wAAABsANwBTAGsAgQCXAK8AyADgAPUBBwEXASgBOgFMAV8BcwGLAaQBvgHYAfMCEQIvAkwCZAJ5Ao0CogK5As4C4wL7AxoDPgNhA3oDigOYA6sDxAPaA+oD9gQGBBwELwQxBCAECQQIBCoEZwSmBNME7wULBTYFcQWxBe8GMwaDBtcHGAcsBxAG4AbFBtcHDAdFB2cHaQdVBzoHHgb/BtoGsgaLBmYGQQYaBfEFywWrBY8FeAVjBU8FOQUaBO8EvASOBHIEawR0BH4EgQR7BHMEawRkBFwEUwRLBEkETgRWBFgESgQiA9oDeQMPArUCewJkAl8CUwIuAe0BmAFAAPEAswCHAGoAWwBTAE0ARQA6AC0AHgAM//f/4f/K/7T/m/9//2D/Rf8z/yv/KP8k/x7/F/8U/xX/Fv8T/wz/BP8A/wD+/v74/uz+3f7R/sr+xv7B/rz+tv6x/qv+o/6W/oP+bv5Y/kL+Lf4a/gn9+P3o/dj9yf26/av9nP2Q/Yf9g/2D/YX9if2P/Zn9p/24/cb90f3Z/eP98f4E/hn+L/5H/mH+f/6h/sT+5v8H/yn/Sv9s/43/rv/R//QAGAA9AGIAiwC5AOwBIQFXAYwBvwHwAiACUAKAArAC3QMGAyoDSwNuA5QDvQPnBA8EOARiBI0EuATgBQMFJQVIBW8FmAXABecGDgY2Bl8GhgatBtEG9AcWBzUHVQd2B5sHwgfnCAkIKQhJCGwIkAixCM0I5Aj6CRIJKAk8CUwJXQl0CZIJswnSCewJ/goJCgsKBQn7CfIJ7wn0CfoJ/gn/CgIKCAoPChIKDgoECfYJ6QnaCcoJugmwCawJqgmmCZ4JlgmTCZQJlAmMCXwJbAliCV4JWQlOCT0JLQkjCR0JGQkVCRMJEwkOCPsI2gi3CJ8IlgiSCIcIdwh1CJgI3QkiCTkJCwipCEQICAgCCFEIZwhiCE0IOwg1CDkIPQg9CDgIMggsCCkILAg5CFAIbAiECJEIlQiWCJwIrQjHCOgJDAktCUgJWgljCWcJawl3CY4JrgnUCfgKFQonCjEKOQpICl8KewqSCp4KngqaCpgKnAqlCq4KuArECtYK6wr9CwULAgr+CwILFgs4C1wLeQuKC5QLnguuC8QL2gvsC/sMDAwjDEAMXAxwDHwMggyHDI4MlgycDJ8MogyqDLYMxAzQDNkM4QzqDPUM/g0CDQMNBQ0NDRgNIg0mDSINGg0SDQsNBQz9DPQM7gzwDPgNAQ0EDP4M9QzyDPoNDQ0kDTgNRw1VDWYNfA2UDawNyQ3xDisOdQ6/DvwPJw9KD3YPtQ//EEAQaBB8EJAQvxENEWsRuhHmEe4R5hHjEe0R/BIDEfwR7RHfEdsR4BHsEfsSChIVEhYSCBHqEcQRoBGHEXoRdhF1EXMRchFzEXgRfxGIEY4RkBGMEYMReRFyEXERdRF4EXcRcRFqEWYRZRFiEVoRTBE8ES8RKhEpESYRIREYERERCxEGEP8Q8xDlENoQ1BDTENMQ0BDJELsQqRCTEHgQWxA+ECEQBA/mD8YPqQ+RD30Paw9VDzcPEg7rDsYOpA6BDlsOMw4KDeMNvg2aDXYNVA00DRkNAQzsDNkMxgy1DKQMlAyDDHMMZAxWDEgMOwwsDB8MEwwHC/sL7QvhC9cL0QvRC9EL0QvPC8sLyAvEC8ELvQu4C7ILqwugC5ILggt0C2oLYgtaC0wLOAsfCwcK8QrcCscKsAqZCoIKbgpbCkgKMwocCgUJ7gnVCboJnAl+CWYJVQlICTkJJAkJCOsIzwi3CKAIiAhtCFAIMAgQB+0HyQekB4IHYQdCByMHAwbkBsUGpwaKBmsGTAYqBggF4wW8BZUFbwVMBSsFBwThBLkEkgRuBEsEJgP/A9UDrQOIA2UDQwMeAvYCzwKpAoUCYQI5Ag4B4gG3AY0BZQE7AQ0A3gCvAIQAWwAzAAj/2v+r/33/UP8j/vX+xf6W/mf+Ov4L/dv9qv17/VH9LP0I/OP8uvyO/GD8MfwB+9D7ovt6+1j7PPsh+wP64fq8+pT6bPpC+hj57vnG+Z75dvlM+SL4/Pja+Lr4mPhy+Er4Ivf/9+D3wfef93r3VPcx9xL29fba9r32ofaG9m72WPZE9jL2HfYH9e310fW39aD1jfV99W/1YvVY9VD1RvU49Sb1E/UD9Pn08/Tu9On05fTh9OD03vTc9Nr02/Tg9Oj07/Tx9O/06/Tq9O308vT19Pb08/Tw9O/08PT19Pr0/vUA9QL1BvUP9Rr1J/Uw9Tb1PPVE9U71VvVc9V/1ZfVv9X71jfWZ9aH1pvWr9bD1tfW69cP1z/Xe9e31/fYP9iT2PvZa9nP2ifad9rP2y/bh9vH2/fcK9xz3NPdO92b3e/eP96b3wvfg9/z4Ffgs+EP4W/hz+Iv4ovi2+Mr43vj1+RL5MvlP+WD5YvlZ+VH5U/lf+XD5gPmO+Zz5rPm7+cb5y/nP+dr57voF+hb6GvoY+hj6JPpB+mv6ofrg+yj7dPu9+/v8J/xD/E38Rfwr/AH71Puv+5v7mfum+8D75PwQ/D38Xvxq/GT8U/xD/Dr8Nfwy/DD8Mvw9/FD8Zfx4/Ij8m/yw/Mf82vzn/O388fz3/QH9EP0k/Tz9Vv1u/X/9hf2C/Xz9dv1z/XX9f/2S/a/91f37/hr+Lv45/kT+Wf5//rH+5f8O/yX/Lv80/0X/Yv+H/6X/tv+9/8P/0v/q//8AAP/h/6T/XP8q/zD/fwAMALIBRAGiAcwB3wH+Aj0ClALrAycDQQNEA0ADQQNMA18DdgOQA6cDtgO4A7ADowOaA5oDoQOtA70D0APmA/oEBwQIA/wD6APRA7kDpAOTA4YDfANzA2cDWANKA0QDSANTA2EDaANoA2ADVQNIAzwDMAMnAyIDJgMzA0YDVgNcA08DLgL4ArMCZAIRAb0BaQEaANIAlQBiADUADP/l/7//m/93/1H/J/77/tD+rP6Q/nr+Zf5Q/jv+KP4Y/gv9//3y/eP90/3D/bP9pv2c/Zb9kv2N/YX9ff15/X39hv2O/ZH9j/2M/Y79lP2b/Zv9k/2I/YP9i/2h/b792P3l/eD9zf2x/ZT9e/1l/VD9Ov0i/Qv8/Pz7/Qf9G/0t/TX9Mf0m/R39G/0f/R/9E/z6/Nz8xPy4/LX8sfym/JP8fvxq/Fr8TfxB/DX8Kvwe/BD7/fvn+9P7xPu5+677n/uM+3z7c/tw+3D7bPti+1T7Rfs4+y77Jvsf+xn7E/sL+v/67/rd+sz6vfqv+qP6lvqK+n/6dfps+mX6YPpe+lv6V/pR+kr6RvpD+kD6PPo0+iz6Jfog+hz6G/od+ib6Mvo/+kj6S/pJ+kb6Q/o++jr6Nvo2+jz6R/pR+lj6Xfph+mf6bvp0+nX6dPpz+nL6cvpz+nT6efqB+o36mvqk+qv6sPq1+rz6w/rJ+tD62Prh+uv69fr++wf7EPsa+yL7KPsv+zf7Q/tR+177aPtx+3j7gPuH+437kfuU+5f7mfua+5r7m/ud+6H7pfun+6n7qvur+677sfu0+7b7uPu7+777wvvH+8z70fvV+9j72/vg++f77/v2+/z8APwF/Ar8EPwV/Bn8Hfwi/Cj8K/wp/Cb8JPwn/C/8Nfw4/DX8M/w1/D38SfxT/Fr8X/xm/G/8d/x8/H38ffx+/IL8h/yL/I78lPye/K38vPzI/NH82vzo/Pn9Cf0X/SD9Kv03/Un9Xv1x/X/9iv2V/aX9tv3I/dT92/3e/eH95v3t/ff+Av4P/h7+L/5A/lD+Xf5n/m7+dv6B/o7+nP6q/rT+vv7I/tX+5f71/wL/DP8V/yH/MP9A/1D/YP9y/4j/oP+5/9H/5v/9ABYAMABKAGIAdwCNAKQAvADSAOUA9gEIAR0BMgFIAVwBcQGHAZ4BtwHQAewCCgIrAkkCYwJ5AosCnAKuAsEC1QLvAw8DMwNUA20DfwOQA6QDuwPOA98D8gQNBC0ERgRJBDYEIgQkBEsEjQTSBQoFNQVdBYkFuAXlBhQGUQagBu8HGwcLBscGegZUBm4GtQb/BykHKwcWBvsG4gbHBqcGgAZYBjIGDAXlBcAFoQWKBXgFZQVPBTcFHwUGBOcEwwSfBIQEeQR7BIAEfwR3BGwEZQRiBF4EVgRMBEYESARRBFQEQwQSA74DUgLlAo0CVgI9AjECHgH3AbsBcAEkAN0AowB5AF4AUQBLAEcAPwAzACUAFAAC/+3/1//A/6n/kP90/1j/Pv8s/yH/G/8V/w3/Bv8C/wL/Av8B/v7++v74/vf+8/7q/tz+zf7B/rn+tP6w/qv+p/6m/qX+ov6b/o7+fP5o/lT+Qv4x/iL+Ev4C/fP95v3a/c/9xP24/a/9qv2q/a39s/25/cD9yf3U/eH97f35/gf+Ff4l/jX+Rv5a/nP+kP6v/tD+8P8R/zP/WP98/57/v//e//8AIgBFAGcAiwCzAOEBFQFMAYIBtgHnAhcCSQJ9ArAC4AMIAywDTQNzA50DywP5BCQETgR3BKAEyATsBQ8FMgVXBX8FqAXQBfYGHQZFBm0Gkwa2BtYG9gcVBzUHWAd8B6MHywfwCBIIMQhSCHUImQi5CNQI6Qj+CRQJKgk/CVAJYQl3CZQJtwnYCfQKCAoTChYKFAoPCgsKCQoICgYKAwoBCgMKCgoSChUKEAoHCf4J9AnqCd0JzgnCCb0JvQm8CboJtwm1CbUJsgmoCZcJhgl6CXUJcQlqCWAJVQlNCUUJOwktCR0JDwkBCPEI3gjPCMYIxAjCCLcIpwigCK4IyQjbCMkIkAhGCBEICQgoCHMIcghaCDwIJwghCCUIKAgmCCEIHQgfCCoIQQhgCIUIowi0CLIIowiVCJQIpgjHCPEJGgk7CVEJXQliCWcJcgmFCaEJxAnoCgcKHAonCisKMgpAClYKbQp+CoMKgQqBCokKmAqmCqwKrQqwCsAK3gsACxkLIQscCxcLHgs2C1gLewuVC6YLsgvCC9UL6gv9DA0MHww3DFMMbgyCDI0MkgyWDJ4MpwyvDLIMswy4DMIM0AzeDOsM9Qz+DQQNBg0EDQENAg0KDRQNHA0bDRINCA0BDP8M/gz7DPUM8gz1DPwNAw0BDPkM8QzxDQANGQ0zDUYNVA1iDXcNlg26DeEOCg44DnAOrg7sDyEPTw9/D7kP/hBEEHkQmRCtEMoRARFSEacR5xIFEgcSARIBEgwSGhIgEhkSChH5Ee0R6BHsEfYSBhIUEhkSEBH4EdsRwBGtEaIRmhGUEZARjxGTEZkRoBGlEacRqBGmEaMRoBGhEacRsBG0EbARpRGWEYsRhRF/EXURZBFREUMRPRE9ET4ROxEzESsRJBEeERcRDhEEEPoQ8RDqEOIQ2BDNEMAQsxCjEJAQehBhEEUQJxAID+sP1A/ED7YPpA+ID2IPOQ8RDu0OzA6nDn0OUg4pDgUN5A3BDZwNdg1UDTcNHw0GDOwM0wy8DKoMmwyNDH8McQxjDFYMSQw9DDQMLAwlDBwMDwv/C/IL6wvsC/EL9Qv0C+4L5gveC9gL1AvRC88LzQvJC8ELtQunC5kLjguDC3ULYgtLCzMLHAsHCvIK3QrGCrEKngqLCnYKXgpFCiwKFQn9CeQJyAmuCZkJigl8CWsJUwk0CRUI+AjgCMgIrgiQCHAITQgqCAYH4Qe+B50HfwdjB0cHKQcMBu8G0QaxBo0GaQZGBiUGBQXjBb8FmgV2BVMFLwUJBN8EtQSOBGoERgQhA/sD1AOvA4sDZwNAAxcC7wLLAqkChgJgAjUCCQHfAbgBkQFoAToBCwDdALEAiABfADMABv/a/6//hv9c/y3++/7J/pj+av47/gv92/2t/YX9Yv1A/Rr88PzB/JP8Zfw3/Ar73vu2+5X7efte+z77Gfrv+sT6mvpz+kz6Jfn8+dP5qfmA+Vv5OPkX+PX4zvil+Hv4Vfg2+Bn3+ffV96z3hvdk90j3LvcS9vL20va29p72jPZ89mr2VfY79iD2BPXr9dT1wPWu9Z31jvWD9Xn1bfVe9Uv1N/Un9R31F/UT9Q31B/UD9QD0//T/9P/1AfUH9Q31EvUT9RL1EPUQ9RL1FfUX9RX1EvUP9Q31D/UT9Rf1GvUa9Rr1HvUm9TH1PPVE9Ur1UPVZ9WP1bfVy9XT1d/WA9Y71nfWq9bL1t/W79cD1xfXM9dX14vXx9gH2EPYh9jf2UvZu9of2m/as9r720/bn9vj3BfcT9yX3PPdX93H3iPed97P3y/fl9/74F/gv+Eb4Xfh0+Iz4pfi8+NH45Pj6+Rb5OPlW+Wb5YvlR+UP5Q/lT+Wr5fPmH+ZD5nvmu+b35xPnF+cr52Pnv+gT6EPoR+g76Efof+jn6XvqM+sP7APs9+3P7nPu0+7v7sfua+3z7ZPtY+1z7bPuA+5j7s/vT+/P8DPwW/BL8CPwA+//8AvwE/AT8BfwN/Bz8MPxH/F78dPyK/J38q/y0/Lv8w/zO/Nr86Pz4/Q39JP04/UT9Q/06/TH9Lv00/UH9VP1t/Yz9sP3V/fL+A/4N/hr+Nf5g/pL+vf7X/uP+7P8B/yT/S/9n/3P/c/9z/3r/g/+C/2n/Of7//s3+uf7R/x//ogBHAO8BcgG7AdAB1AHvAjICkALoAx0DKAMbAwwDCwMXAyYDMQM2AzUDLwMkAxgDDwMPAxgDJQMxAzwDSANXA2YDbwNsA10DRwMvAxoDCAL5AuwC4ALRAsACqwKYAosCiQKTAqICrgK1ArQCrwKoAqECmQKRAosCiQKNApcCnwKgApECcAI+AgABuwF0ASwA5QCiAGMAKv/4/8n/nv93/1T/Nf8W/vP+zP6m/oT+af5U/j/+KP4O/fb95f3Y/c39v/2t/Zj9hf10/WX9Wf1Q/Uz9Sf1F/T79M/0q/Sb9Kf0y/Tv9Qf1E/Uj9T/1X/Vv9WP1M/T39NP03/Ub9XP1v/Xf9dP1r/WL9W/1V/Un9NP0W/PX82/zO/NH83/zy/QD9Bv0G/QT9BP0F/QL89fze/MT8rvyh/Jv8lvyK/Hj8ZPxS/EP8N/wr/B78EfwC+/H73PvF+7H7ovuZ+5L7h/t6+237Zfth+137VftH+zf7KPse+xf7EPsJ+wH6+Pru+uT62PrK+rv6q/qc+o/6hPp5+m76YfpV+k76TPpN+k76SvpC+jr6Nvo1+jb6Nfov+if6H/oY+hL6DvoO+hH6GPoe+iL6Ivoh+iL6Jfoo+ir6Kfop+i76NvpA+kf6TPpR+lf6Xvpl+mn6bPpt+m76b/pv+m76cPp2+oL6kPqd+qj6sfq5+sL6yvrQ+tX62vri+uz69/sD+w37Ffsd+yP7KPsv+zj7Q/tP+1r7Yvtq+3H7efuC+4r7kfuU+5f7mPua+537ovuo+637sfuz+7T7tfu2+7j7u/u++8H7w/vG+8n7zPvQ+9X72vvf++T76fvv+/b7/PwA/AP8BvwL/BL8Gfwd/CD8I/wn/Cv8Lfwr/Cj8J/wq/DL8OPw6/Df8M/w0/D38SPxT/Fr8X/xm/HD8evyB/IP8hfyG/Iv8kPyW/Jv8oPyn/LD8ufzC/Mz82fzr/P79Ef0f/Sr9NP0//U79X/1u/Xr9hP2O/Zr9qv2+/dL94/3v/fT99f31/fr+Bf4U/ib+Nf5D/k/+W/5n/nL+ff6I/pX+ov6v/rn+wv7M/tn+6P74/wX/Dv8W/yD/L/9A/1L/ZP93/43/pf+8/9L/5//8ABIAKgBAAFUAaQB9AJMAqgDAANQA6QD/ARYBLQFDAVcBbAGBAZgBrwHGAeEB/wIfAj4CWQJuAn8CjQKbAqgCtwLKAuMDAAMeAzsDVwN2A5YDswPMA+MEAAQlBEsEYQRbBEAEKQQyBGMErgT6BTYFYwWNBbsF6gYVBkEGegbBBwMHHAb3BqEGSgYiBj4GhwbSBv0HAQbsBtIGuAaaBnYGTQYkBf0F2AWzBZMFfQVwBWUFUQUyBQ4E8QTeBNIExgS0BKIElQSOBIgEfgRvBGMEXARdBF4EWQRPBEYERgRLBEsEMgP2A5kDKgK+AmcCKgIDAeUBxgGfAXEBOwEBAMYAkQBoAE8ARQBCAD4ANAAmABUABv/2/+T/z/+2/5z/gv9m/0v/M/8g/xP/C/8E/v3+9v7w/u3+7P7q/un+6P7n/uX+3v7U/sf+uv6x/qr+o/6d/pj+lv6Z/p/+ov6h/pn+jP58/mz+XP5N/j7+Lf4d/g/+Bf3//fr98/3q/d/92P3V/dj93f3j/en98P35/gX+E/4i/jD+Pv5K/lb+ZP50/oj+oP66/tX+8v8T/zj/Yf+J/63/zf/rAAwALQBPAG8AjwCzAN4BEQFJAYABsgHhAg8CQAJ1AqoC3QMJAy8DVAN8A6gD1QQDBC8EWQSDBKwE1AT5BR0FQQVnBY8FtgXcBgIGKgZSBnkGnAa6BtUG8gcSBzYHXAeEB60H1Qf7CB0IPQhdCH8IoQjBCNsI8AkECRoJMAlFCVgJagmACZwJvQneCfkKDQoZCh8KIgojCiMKIQobChMKCgoGCggKEAoXChgKEgoKCgQKAAn8CfMJ5QnYCdEJ0AnTCdUJ1QnUCdIJzAnCCbIJoQmUCYsJhAl/CXoJdglyCWsJXglMCTcJJgkaCREJCgkECP8I+wjzCOIIygixCJ0Ijgh7CF0IOAgcCBoIMwhZCGUIVgg+CCoIIQgiCCgILAgtCC0ILwg4CEkIZAiHCKwIxgjOCMEIqAiSCJAIpAjMCPsJJQlCCVIJWglgCWwJfwmZCbgJ1wnzCgsKGgojCigKLQo4CkcKVQpfCmIKZQpuCn8KlAqkCqsKqgqtCr0K3QsECyILLwssCyQLJQs3C1gLfQuaC60LuQvFC9cL7gwGDB4MNAxMDGYMfgyRDJsMnwykDKsMtAy9DMMMxwzNDNgM5gz1DQENCQ0NDQ4NDA0HDQMNAw0IDQ4NEA0MDQQM/Qz7DPwM/gz9DPkM9wz6DP8NAQz+DPcM8wz6DQwNJw1ADVQNYg1yDYoNrg3dDhQOTw6JDr4O6w8SDzkPaw+sD/kQRxCHELEQyhDkEQ4RTxGcEeESDhIeEhsSFRIXEiESKxIxEi8SJxIbEhASBxIEEggSEBIWEhQSCBH2EeMR1hHNEcURuxGwEaoRqxGwEbURthGzEbARsBG1Eb0RxhHQEdsR5BHnEeAR0BG8EakRmxGOEYERchFiEVcRUxFUEVURUxFNEUQROxEyESkRHxEWEQ4RBhD8EO8Q3xDQEMMQuBCuEKIQkxB+EGQQRhApEA8P/Q/xD+YP0g+zD4sPYA86DxgO9w7RDqYOeg5TDjEOEQ3tDcQNmA1yDVQNOg0gDQMM5gzLDLcMpwyZDIkMegxrDGAMVwxQDEwMSQxGDEEMNwwpDBsMEgwPDA8MEAwNDAcMAAv6C/YL9AvzC/QL9gv2C/EL5gvWC8YLuAutC6ELkQt7C2ELSAswCxoLBArvCtsKxwq0Cp0KhAppClAKOQokChAJ+wnnCdQJwgmuCZUJdwlWCTcJHQkFCO0I0AivCIwIaAhECCAH/AfbB74HoweHB2sHTQcvBxMG9gbVBrAGiQZmBkUGJgYGBeIFvQWZBXkFWAUzBQgE2wSwBIoEaARGBCID+wPUA64DiQNiAzsDFQLxAs8CrQKHAl4CMwIJAeEBuQGRAWUBOAEMAOEAtwCLAF0ALwAD/9v/tf+N/2H/MP79/sz+nP5s/jz+DP3f/bf9k/1v/Ub9Gfzr/L78lfxt/EX8G/vz+8/7sPuR+2/7SPsb+u36w/qc+nf6Uvoq+gD51vmw+Y75cPlR+S35BPjY+K74ivhs+E74LfgI9+H3vfeh94j3b/dQ9yz3Bvbl9sz2ufaq9pn2hfZt9lT2OvYj9gz19vXh9c31vPWv9aX1mfWJ9Xb1YvVR9UX1PvU59TT1MPUr9Sj1JfUl9Sb1KfUu9TH1MvUw9S31K/Us9TD1M/U29TX1M/Uw9S71LvUx9TX1NvU09TD1MPU19UD1TPVW9V31Y/Vr9Xb1f/WF9Yj1i/WT9aD1rvW69cL1yPXM9dD11vXf9ev1+vYK9hn2J/Y39kv2ZfaA9pj2q/a69sn22vbs9v33Dfcd9y/3Rfde93f3kPen97330/fp+AH4G/g2+FD4Z/h8+JL4qvjC+Nn47Pj/+Rj5NvlS+V/5WflH+Tn5O/lP+Wj5efl/+YH5ifma+a35uPm6+bz5x/nd+ff6CfoO+gv6CfoR+iX6QPpg+oT6q/rV+vz7Hfsy+zj7Mfsi+xP7DPsU+yf7P/tV+2n7fPuR+6f7uPu9+7n7s/u0+777zPvY+9774Pvm+/P8Cfwj/D38Vfxo/HX8f/yI/JD8m/ym/LD8ufzF/Nj87/0D/Q39Cvz+/PT89/0H/SD9Pf1Y/XP9jv2q/cD90P3f/fT+GP5I/nb+lv6l/q3+wP7k/xL/Nf9B/zj/K/8q/zH/K/8B/rT+X/4r/jf+h/8J/6MAQgDWAVQBrAHXAd8B4gIBAkgCpwL6AyQDIQMEAuUC0wLOAsoCwAKxAqACkQKFAn0CfAKCApECoQKuArcCvgLFAsoCywLCArICngKMAn4CdAJrAmACUwJCAi8CGAIAAewB4QHgAeYB7gHyAfIB7gHqAeUB3wHZAdQB0AHQAdABzQHAAaYBfgFNARgA4wCxAIAATwAe/+3/vP+N/2D/Nv8S/vT+2/7B/qT+g/5i/kT+LP4W/f/95f3K/bP9ov2V/Yj9dv1i/U39PP0u/SL9Fv0L/QT9Av0B/P389Pzn/N382fzf/Or89v0A/Qb9Cv0O/RD9EP0L/QP8/fz9/QX9EP0Z/Rz9Gv0Z/R79KP0y/TX9Lv0g/Q/9APz0/On83/zX/NP81fzc/OX87Pzt/Ob81vy//Kb8k/yG/H/8efxu/F78Svw3/Cf8GvwO/AD78vvi+9D7vPun+5T7hvt9+3f7cPto+2L7XPtX+0/7Qvsw+xz7DPsD+v/6/Pr3+u/64/rW+sr6vvqy+qT6lvqH+nv6cfpo+l76UfpF+j36PPo++j/6O/oz+iz6Kvos+i/6Lvon+h36EvoL+gX5//n6+fb59fn2+fb59vn4+f/6CvoV+h76IPog+iH6Jfor+jL6OPo++kb6TvpX+l76Y/pm+mn6afpo+mf6aPpv+nr6iPqX+qP6rvq5+sP6zPrS+tb62vri+u36+vsH+xL7G/sj+yr7Mvs6+0P7TftX+1/7ZPtp+237c/t7+4T7i/uR+5T7l/ua+6D7qPux+7j7vPu9+777vvvB+8T7x/vK+8z7zfvP+9H70/vX+9z74vvp++/79fv8/AL8B/wK/Av8DvwT/Bv8Ivwn/Cn8Kvwr/C38Lvwt/Cv8K/wu/DP8OPw4/DX8Mvw1/D38SPxR/Fj8Xfxk/G78ePyA/IT8h/yK/JD8mPyh/Kj8rvyz/Lb8uvy//Mj81vzn/Pr9C/0a/Sj9Nf1B/U39V/1g/Wj9cP14/YH9jP2d/bP9zP3g/ez98v31/f3+DP4g/jP+Q/5P/lv+aP52/oD+hv6L/pL+nf6q/rf+w/7O/tr+6f75/wf/Ev8c/yj/N/9J/1z/bv+B/5T/qf++/9L/5v/6AA4AIgA2AEgAWwBvAIUAnACzAMsA5QD/ARgBLQFAAVEBZAF5AZABpgG9AdYB8gIQAi0CRwJbAmwCeQKFAo8CmQKmArgC0ALsAw8DOANmA5UDvAPcA/gEGAQ+BF4EaARVBDMEHwQ0BHMExgUQBUQFagWVBc4GEgZUBpEGzQcLBz0HSQciBtYGiQZkBnMGowbRBuYG3wbLBrIGmAZ3BlAGJwYBBd8FvAWXBXcFZAVcBVQFPgUVBOQEvwSvBLIEugS7BLQEqQSdBJAEgARsBFwEVQRWBFkEVQRLBEIEQQREBD4EHgPaA3kDCgKiAkoCAwHJAZgBbgFMAS0BDADiAK8AfABTADsANAAzADAAJgAYAAn/+//v/97/yP+t/5H/df9a/0D/KP8V/wb+/f73/vH+6/7k/t3+1/7U/tL+0f7P/sn+wP61/qv+pP6f/pr+lf6P/ov+jf6T/pz+o/6l/qL+m/6S/of+e/5t/lz+Sf43/ij+Hv4Z/hb+Ef4K/gH9+v33/fr9//4F/gv+E/4e/ir+OP5F/lL+Xv5p/nb+g/6T/qP+tP7H/tr+8/8S/zf/Yf+J/67/z//wABQAOQBdAH0AnAC+AOgBGgFQAYUBtgHhAg0CPAJwAqYC2QMIAzIDWwOEA68D2gQDBCwEVQR/BKkE0QT3BR0FRAVsBZQFuwXhBgcGMAZZBn4Gnga5BtMG8AcSBzkHYQeJB7EH2ggCCCcISAhnCIYIpQjDCN0I9AkKCR8JNAlJCVsJbgmECZ8JvQndCfgKDQobCiYKLgo0CjgKNwoyCigKHgoYChgKHQohCiAKGwoUChAKEAoPCgoKAAn0CewJ6gnsCe0J6wnlCd8J2QnSCcoJwAm1CasJowmcCZoJmgmaCZUJiQl3CWUJVwlQCUoJQgk1CSUJEwj/COYIyQipCIsIcAhZCEUINwg1CEEIVQhkCEwIQwg+CD4IRAhMCFMIWQhfCGUIaAhrCG8IeQiNCKYIugjBCLYIoQiQCI8IogjFCO0JDwklCTIJOwlICV8JfwmjCcYJ5An7CgwKGQoiCikKLgo0CjsKQgpICk4KVwpkCnYKigqbCqgKsgq+CtEK6gsECxcLHwsfCx4LJgs7C1sLfQuYC6gLsQu7C88L6wwLDCoMRAxaDG8MgwyVDKEMqQyuDLQMvAzEDMwM1AzfDO0M/A0JDRENEw0RDQ0NCg0HDQUNBA0EDQQNAgz/DPwM/Az+DQAM/wz8DPkM+Az7DP4M/gz7DPkM/A0JDR4NNw1QDWUNeA2LDaMNyA3+DkMOkQ7XDwkPJA8zD00Pgw/VEDQQiRDFEOcRARElEVwRnxHgEg4SJBIpEiYSJRIpEi8SNRI3EjcSMhIrEiESGRIWEhgSGxIaEhISAxHzEegR4RHaEc8RvxGxEaoRrhG3Eb4RvhG4EbQRtxHDEdQR5xH2EgISChIKEgQR9RHgEcgRrxGYEYIRcBFkEV8RYRFpEXQRgBGJEY4RixF+EWkRTxE4ESYRGBENEP8Q8BDgENMQyBC/ELMQpBCQEHkQYBBIEDQQJRAZEAsP9g/WD68Phw9jD0IPIQ77DtEOpw6CDmEOPw4XDegNuQ2RDXENVw09DSANAwznDNAMvQyqDJcMhQx2DG0MaQxnDGYMZQxkDGEMWwxSDEcMPQw0DCwMJQwgDB0MHQwfDCEMIQwgDCAMIgwiDB0MEAv/C+8L4gvZC9ALwAuqC48LdAtaC0ELKgsUCv8K7ArZCsMKqgqQCngKYwpSCkMKNAoiCg8J9wncCbwJmgl5CV0JRQktCREI8AjMCKcIggheCDsIGQf7B+IHyQevB5AHcAdRBzMHFQb1BtEGrAaJBmoGTAYqBgUF3wW8BZ4FfwVbBTAFAQTVBK8EjwRvBEsEIwP4A9ADqgOGA2IDPgMaAvcC0wKuAoYCXAIxAgcB3gG0AYsBYQE3AQwA4ACzAIUAVwAsAAT/3v+3/4z/X/8u/v3+y/6a/mj+Of4O/eb9wP2Y/Wz9Pf0N/OP8vfyb/Hf8Uvwq/AX74vvA+5z7cvtE+xb66/rE+qD6fPpU+ir6Avne+b/5o/mE+WD5N/kN+OX4w/ik+IT4Yfg8+Bj3+ffg98n3rveL92P3OvcW9vr25fbT9sL2r/aZ9oP2bPZV9j72J/YQ9fv16fXb9c/1w/W09aL1kPV/9XH1Z/Vh9Vz1WfVV9VD1TPVK9Uv1T/VU9VX1UvVL9UX1QvVE9Uj1TfVR9VH1T/VM9Un1SvVM9U/1T/VL9Ub1Q/VG9VD1XfVo9XD1dfV89YX1j/WX9Zz1ovWp9bT1v/XK9dL12PXd9eL16fXy9gD2EPYg9i/2PfZL9l32dPaN9qT2t/bG9tX25fb29wb3F/co9zv3UPdm9333lfet98T32vfv+Af4Ivg/+Fz4c/iG+Jf4rPjE+N348vkF+Rv5NPlL+VX5T/k++TH5NPlI+V/5bvlw+W/5dvmJ+Z/5rvmz+bb5wPnV+e/6AvoI+gf6CfoW+i76S/pm+nz6j/qj+rn6zPrZ+t362frR+s360/rk+v37Ffsp+zf7RftV+2T7b/tw+2v7Z/tt+377lfup+7X7vfvG+9f77/wJ/CL8NvxE/E/8WPxh/Gr8c/x7/IL8ivyW/Kr8wPzT/Nz81/zN/Mj80Pzm/QX9JP0+/VP9Z/17/Y/9ov23/dP9+v4m/kz+Zv52/of+pf7R/vr/Df8E/u7+3/7h/uX+yf58/hH9vv28/ib+4/+7AHkBBAFhAaEBzwHrAfkCCAIsAm0CvgMBAx0DDALfAqwCggJhAkQCJwINAfsB8wHxAfMB+AIBAg8CIAIuAjcCOgI6AjUCLAIeAgwB/AHxAesB5wHgAdYByQG7AaoBlgF/AWgBVQFKAUQBQAE8ATUBLQEkARsBEgELAQYBBAEEAQEA9gDfALwAkABiADgAFP/1/9j/uP+V/2//Rv8e/vf+0/6z/pj+gP5o/k/+M/4Y/f/96P3R/br9of2K/Xb9Zf1W/UP9Lv0Z/Qb8+fzw/Of83PzQ/Mb8wfzA/MD8vPy0/Kn8ofyh/Kn8tPy+/MP8w/zC/MH8w/zH/Mv80PzW/Nz83/zf/Nr81vzX/OD87vz6/QP9DP0c/TT9S/1V/UX9Hvzs/ML8rfys/Ln8xfzJ/MH8sfyc/If8dvxq/GL8XPxR/EL8L/wc/Av7/Pvv++H70vvC+7H7oPuO+377cPtl+137WPtT+1D7TftI+z/7MPsd+wj69/rt+ur66/rp+uH60/rB+q/6oPqU+on6fPpv+mT6WvpS+kn6Pvo0+i76Lfov+i/6K/ol+iH6Ivom+in6Jfoa+g76BPn9+ff57vnj+dn50vnQ+dH51Pna+eX59PoE+hH6FvoW+hT6E/oW+hv6Ivop+jL6PPpG+lD6WPpc+l/6YPpg+mH6ZPps+nf6hPqR+pz6p/qy+r36x/rP+tb63frm+vL6/vsK+xX7Hvso+zL7PPtF+0/7Wfti+2r7b/ty+3X7ePt++4X7jfuS+5b7mfud+6P7q/u0+7v7vvu/+8D7w/vH+8370vvV+9b71vvV+9b72Pve++X77vv1+/v7//wE/An8DvwT/Bb8Gfwe/CX8LPwx/DL8Mfww/DD8MPwx/DH8Mfwz/DX8N/w3/DX8Nfw5/ED8SPxP/FT8Wvxh/Gv8dPx7/ID8hPyJ/JD8mfyj/Kv8svy2/Lj8u/zA/Mn81vzk/PL8/v0L/Rn9Kf03/UH9SP1O/VX9Xv1o/XH9ev2H/Zj9rf3A/c/92v3m/fn+E/4u/kT+VP5g/mz+e/6I/pD+kP6N/o/+mP6n/rf+xP7N/tf+4/7z/wX/Ff8i/zD/Pv9Q/2L/df+I/5r/rP+//9L/5f/3AAkAGgArAD0AUQBmAHsAkQCnAMAA3AD3AQ8BIgExAUEBVAFsAYUBnQG0AcwB5gIBAhoCMQJFAlcCZwJ2AoQCkgKjArcC0QLwAxYDQwN2A6kD1QP2BBEELARIBFsEWQQ/BB8EFgQ3BH8E0QUSBTsFXAWPBeIGTAa1BxAHWAePB7IHtweYB18HJAb+BvEG8AbpBtUGuAadBocGcAZTBjEGEAX2Bd0FvQWWBW8FVQVLBUMFLgUDBM8EpQSUBJoEqQSyBLMErgSnBJ0EjQR4BGUEWgRXBFYETwRDBDgENgQ4BDAEDQPIA2gC/gKZAkAB8QGqAW0BQAEkAREA/ADYAKQAbQBAACYAHgAfAB4AFgALAAD/9v/q/9n/wf+l/4j/bf9U/zz/JP8P/v/+9f7v/ur+5P7c/tL+yP7A/rz+uP6z/qv+oP6V/o3+if6I/oj+hv6F/of+jf6V/pz+ov6k/qT+o/6h/p3+lP6G/nP+X/5K/jn+K/4h/hr+Ff4Q/gv+Cf4L/g/+Ff4c/iX+Lv46/kb+Uf5c/mf+c/6B/pH+of6x/sD+zf7a/un+/v8Z/zr/Xv+D/6f/y//xABoAQwBqAIwAqwDNAPUBJAFXAYgBtgHiAg8CQAJ0AqgC2gMIAzMDXgOIA7ID2gQBBCcETgR2BJ0EwwToBQ8FOAViBYwFtAXaBgEGKgZSBncGlgayBs4G7gcSBzgHXQeDB6kH0gf8CCMIRQhjCH8Imwi4CNQI7wkHCR4JMwlGCVkJbAmCCZwJuQnXCfMKCgodCiwKOApCCkkKTApLCkYKPQo1Ci8KLgovCi8KLAooCiUKJAokCiAKGgoRCgsKCAoGCgIJ+gnwCeYJ4QnfCd8J3gnZCdAJxgm+CboJugm5CbMJpwmXCYcJewlyCWcJVgk9CR4JAAjjCMoItAigCI8Iggh3CG8IaQhkCGAIXAhWCGEIZAhsCHMIeAh6CH0IhAiNCJQIlAiLCH0IdAh2CIUImAinCKoIpQidCJwIpQi4CM4I4wj0CQAJDQkiCUEJawmYCcMJ5An9Cg4KGwomCi4KNAo3CjoKPwpHClIKXQpoCnIKfQqMCqAKuArRCuQK8Ar1CvYK+QsBCxALJgtCC2ELfAuRC54Lpwu0C8oL6wwQDDIMTAxfDHAMgQyTDKMMrwy3DLwMwQzGDM4M2AzmDPYNBQ0QDRMNEA0JDQMNAA0ADQAM/gz7DPgM9gz2DPkM/Qz/DP4M/Az6DPoM/g0BDQIM/wz9DQANDA0fDTUNTA1kDX0Nlg2tDccN6w4jDnEOyw8aD0kPWA9aD24PqhAIEHEQxhD8ERoROBFkEZ4R2RIEEhkSHhIeEiISKBIuEjASMBIuEisSJBIZEgwSAhIBEggSEBISEg4SBBH7EfMR6hHcEcURrBGXEY4RkRGbEaURqxGvEbYRwxHXEe4SBBIVEiASJhInEiMSGhIJEe4RzBGlEX8RZBFYEV4RcxGVEcAR8BIcEjsSQxIuEgARxBGJEVsROxEnERgRChD8EO8Q4xDWEMcQsxCdEIkQdxBoEFwQTxBAECwQEw/zD9APrQ+KD2kPRw8iDvwO1g6yDo4OZw47DgsN3A2zDZENdQ1bDT8NJA0JDPEM2wzEDK0MmAyJDH8Mewx7DHsMfAx7DHoMeAx1DHAMZwxdDFEMSAxFDEYMTAxSDFQMUgxPDE4MTgxNDEUMNwwmDBcMDAwEC/oL6QvRC7cLnQuEC2sLUQs4CyELDgr8CukK1Aq+CqoKmQqLCn0KbQpZCkAKIwoDCeAJvwmhCYcJbglUCTQJDwjoCMEInAh4CFYINwgdCAcH8QfXB7cHlQdzB1MHNAcTBvAGzgauBpEGdQZVBjAGCgXmBcUFpAV+BVIFJQT6BNYEtwSWBHEERwQcA/QDzwOtA4oDZQNAAxoC9QLQAqkCgAJWAioCAAHWAa0BhAFZAS0BAADUAKkAgABYAC8ABv/d/7P/iP9a/yn+9v7D/pL+Zv4+/hj98f3G/Zf9Zv03/Q386PzH/Kb8g/xe/Dj8E/vu+8f7m/tt+z/7FPrt+sn6pfp/+lj6MvoQ+fL51Pm0+ZD5aflC+R74/fjd+Lz4mPhz+FL4Nfga+AD34fe995X3bvdL9y/3GPcF9vL23vbH9rD2mPaA9mn2UfY79if2FfYF9fb15/XX9cj1ufWq9Z31kfWJ9YP1fvV69XT1bvVr9W31cvV39Xf1cvVp9WH1XvVg9WT1aPVp9Wf1ZPVg9V71X/Vi9WX1ZvVk9WD1XvVi9Wv1dvWA9YX1ifWN9ZX1nvWo9bH1uPW/9cj10PXZ9eH16fXv9fb1/fYH9hP2IvYy9kL2UfZg9nH2hfaZ9q72wfbS9uP29PcE9xP3JPc290r3YPd194n3n/e298735ff7+BL4K/hI+GP4eviL+Jv4rvjF+N/49/kN+SL5OPlL+VP5S/k6+Sv5Kvk5+Uz5W/lg+WT5bvmC+Zn5qvmy+bb5v/nS+ef59vn8+f36Bfoc+j76Yfp++o/6mfqg+qj6r/qy+rD6q/qo+qv6uPrN+uX6+fsI+xL7HPsn+zL7OPs4+zP7Mfs4+0r7YPt2+4f7lvuo+7/72vvz/Ab8E/wd/Cb8L/w5/ED8RfxL/FP8YPxx/IT8lfyh/KX8o/yg/KP8sfzH/OP8/f0T/Sf9O/1S/Wr9g/2b/bX90v3x/g/+Kf5C/mH+h/6s/sT+xP6x/pz+lv6e/pn+bP4T/bT9kv3g/qH/oQCQATUBhQGhAbIBzwH1AhsCOwJhApICygL0AvsC2wKeAlgCGAHgAbABiQFvAWYBagF1AX4BhAGLAZUBpAGyAb0BvwG7AbABoAGNAXsBbAFkAV8BWgFSAUYBOQEsAR8BEAD9AOkA1QDEALgArQChAJQAhQBzAGAATgBAADkAOQA9AD0AMgAb//n/0/+v/5L/e/9n/1L/Of8a/vj+1f6z/pT+d/5c/kD+JP4I/e791f3B/a79nP2J/XX9Yf1O/T39Lf0c/Qn88/ze/Mz8v/y2/K78pfyb/JD8ifyF/IT8g/yA/Hr8c/xv/HD8dvx9/ID8gPx+/H38gfyH/JD8mfyh/Kj8rfyt/Kv8q/yv/LX8uvy6/Lv8yPzt/Sn9af2R/Yv9Vv0I/L78kfyC/Ij8kvyU/I78hPx4/Gv8X/xS/Eb8O/wv/CH8EfwA+/D74fvT+8X7tPuj+5L7hPt3+2r7XvtS+0n7Qvs9+zr7OPsz+yr7HPsK+vb65frc+tr63frd+tf6xvqv+pj6hfp4+m76ZPpY+kv6QPo3+i/6J/og+hz6Gvoa+hr6F/oU+hP6Fvoa+hr6FPoJ+fz59Pnu+ef53PnO+cL5vPm9+cH5xfnL+dP54fnz+gL6DPoO+gv6CfoK+g76E/oZ+iD6KPoy+jz6RvpN+lH6VPpW+lr6YPpp+nT6f/qK+pT6nvqq+rb6wvrN+tj64vru+vn7BPsN+xX7Hvso+zP7PvtI+1P7Xvtp+3P7e/uA+4P7h/uM+5P7mfue+6H7ofuj+6f7rvu1+7r7vPu9+7/7w/vL+9P72fvd+9773vvd+9774vvp+/L7+/wC/Ab8CPwL/A/8Fvwc/CH8Jvwq/C/8M/w2/Df8Nvw0/DT8NPw1/Db8N/w4/Dn8O/w8/D38P/xB/EX8SPxK/E/8VPxd/GX8bfxz/Hj8fvyF/Iz8lPyc/KP8qvyv/LT8uvzC/M382vzl/O/89vz+/Qn9F/0k/S79Nv09/Uj9V/1o/Xj9hv2R/Zz9p/2w/bj9wv3U/e7+D/4u/kX+U/5e/mv+fP6L/pT+k/6P/o/+mf6p/rr+xf7K/s7+2P7o/vz/EP8g/y3/Of9I/1r/b/+E/5j/rP++/9H/5P/1AAQAEgAhADMARwBcAG4AfwCRAKYAwADaAPEBAwETASUBPQFaAXkBlQGuAcUB3AHzAgkCHQIyAkgCXwJ2Ao0CpAK+At0C/gMfA0IDaAOTA78D5wQEBBoELQQ/BEsERgQyBBwEGwRBBIUE0AUKBTEFWAWbBgYGjgcZB48H5wgiCEIIRQgqB/oHwweRB2QHNQb9BsIGjQZqBlQGQwYuBhYGAwX1BeYFygWeBW0FSAU1BSsFGgT4BMwEpgSUBJUEoASoBKsErgSxBLAEpwSTBHwEawRgBFkETQQ9BC4EJwQlBBwD+wO6A2EC/QKcAkIB8QGoAW4BSAE0ASgBEgDnAKsAagA2ABcADAAKAAgAA//8//b/8P/l/9T/u/+f/4P/av9S/zr/Iv8M/vr+7v7n/uL+2/7S/sX+uf6u/qb+oP6Z/pL+iP5//nn+dv53/nn+ff6C/or+kv6Z/p3+nv6f/qD+pP6n/qX+nP6N/nr+Z/5U/kP+M/4k/hj+EP4L/gv+Dv4T/hv+I/4t/jf+Qf5M/lf+Yv5s/nn+h/6Y/qr+u/7J/tb+4f7u/v3/EP8n/0L/YP+A/6P/y//2ACMATwB2AJgAuADZAQABKwFYAYYBtAHiAhQCSQJ+ArAC3wMKAzQDXwOJA7MD2wQBBCcETgRzBJcEugTcBQIFKwVVBX8FpgXMBfIGGAY/BmMGhAakBsQG5wcLBy4HUAdxB5YHvgfoCBAIMghPCGoIhgikCMQI4gj+CRYJLQlCCVYJawmCCZsJtgnSCe0KBgodCjAKPgpJClIKWgpgCmEKXQpUCkoKQwpACkEKQQpACjwKOQo1CjIKLgopCiQKHwoZChIKCQn/CfcJ8gnxCfIJ8AnrCeIJ1wnOCccJwQm5Ca0JnQmLCXsJbQlgCU8JOQkdCP8I5AjPCL8ItQivCKwIqwiqCKYIngiQCIAIcAhlCKAInwicCJQIiQiACH0IgQiKCI8IjAh+CG0IYAhgCG4IhAiaCKsItAi1CLIIsQi2CMAIzwjfCO0I+wkNCSkJUAl/Ca0J1QnyCgYKFQogCioKMAo1CjoKQgpQCmAKbQp1CnYKeQqDCpgKtgrRCuEK4QrZCtMK2QruCw0LLQtKC2MLdwuIC5gLqAu8C9YL9gwaDDoMUgxjDHIMggyVDKcMtQy9DMEMwwzHDM4M2AzlDPQNAQ0JDQoNBgz+DPcM9AzzDPMM8gzvDOwM6wzuDPMM9wz4DPcM9gz7DQMNDA0QDQsNBA0CDQsNHw03DU4NZA18DZkNug3aDfgOHQ5WDqUPAA9OD3sPhw+LD6gP7hBTELgRAhEsEUURYxGREcYR8BIEEgYSAxIFEg0SFRIXEhQSEBIOEgsSARHxEd8R0xHUEd8R7BH1EfkR+RH6EfkR8RHgEcgRrhGXEYURehFzEXMRexGPEasRyxHrEgcSHhIwEjsSQhJEEkMSPhIwEhQR5xGwEXsRVxFSEW8RqxH8ElgSshL/EzATNxMQEsMSYhIAEbEReRFVETwRJxEVEQYQ+BDqENkQxBCtEJsQjxCIEIIQdhBjEEgQKhALD+0Pzg+uD4sPaA9GDyMPAA7bDrMOiA5aDisN/w3WDbINkg11DVsNQw0sDRYM/wznDM8MuAykDJUMiwyIDIgMjAyPDJIMlQyWDJUMkwyODIoMiAyLDJEMlgyVDI4MhQx/DH0Mfwx+DHUMZgxVDEYMOgwvDCAMCwvzC9sLxguwC5cLewtdC0QLLwseCw0K/QrsCt4K0grFCrUKngqCCmMKQgohCgEJ4wnHCa0Jkwl0CVAJKQkBCNoItgiUCHQIWAhACCsIFQf6B9oHtweWB3YHWAc3BxMG8QbSBrcGnQaBBl8GOgYVBfAFygWgBXQFSAUhBP4E3AS6BJMEagRBBBsD+APVA7EDigNiAzsDFQLvAskCoQJ3Ak0CIwH6AdEBpwF5AUkBGwDwAMsApwCBAFkALQAC/9j/r/+D/1P/IP7t/r/+lv5y/k3+JP34/cj9mP1r/UL9Hfz6/Nj8tfyS/Gz8Rfwc+/D7wvuT+2b7PPsV+vH6zfqo+oT6YfpB+iL6A/nh+b75mvl3+Vb5NvkV+PL4z/is+Iz4bfhQ+DD4Dvfo98P3oPeC92n3VPdA9yz3Ffb79uD2xvas9pT2ffZp9lb2RfYy9h/2DPX69er13fXR9cX1uvWw9af1ofWb9ZX1j/WM9Y71lPWY9Zf1kfWH9YD1fvWB9YX1hfWD9X31ePV19XT1dvV59Xz1fvV+9X31fvWD9Yv1k/WZ9Z31nvWi9aj1sfW79cT1zPXS9dn14PXo9fD1+fYC9gv2E/Yc9if2NfZF9lX2ZfZ29of2mPaq9rz2zfbf9vH3AvcS9yD3MPdC91n3cfeH95v3r/fE99v38/gK+CD4N/hP+Gj4f/iS+KP4tfjL+OL4+vkR+Sf5PflO+VT5S/k4+Sb5Ifkq+Tv5S/lW+V/5bfmA+ZX5pvmv+bX5vvnN+d356Pnu+fP6APoa+jz6X/p9+pH6nvqn+qz6rfqo+qD6mfqY+qD6sPrE+tf65vrx+vf6/PsC+wj7DPsN+w37EPsZ+yf7OPtI+1n7bfuH+6T7wPvU++D75vvt+/f8AvwK/A78D/wV/CT8OfxP/F78Zfxl/GT8Z/xx/ID8kvyl/Lj8zfzi/Pn9E/0w/U79av2A/ZH9oP2y/cr96v4R/jr+Xv51/nv+cf5i/lz+Yf5l/lT+H/3Y/bH93/59/3AAcgE3AZcBpQGTAZUBuwH4AjMCYAKDAqUCxQLWAscCkwJGAfEBogFhASwBBwDzAPAA+wEIAREBFAEVARsBJwE2AUIBRwFDATgBJwESAP8A8ADmAN8A1wDLAL0ArQCfAJMAhgB3AGYAVABEADUAKAAaAAv/9//f/8P/p/+R/4f/iP+P/5P/jv99/2b/Tf83/yX/Ff8E/u/+1P61/pT+c/5W/j3+Jv4O/fH90P2u/ZD9ef1p/V39Uf1D/TP9If0Q/QD88Pzh/NL8w/yy/KD8jvx//HP8bPxm/GD8WPxQ/Ev8SPxH/EX8QPw7/Dn8Ovw//ET8R/xJ/Ev8TvxS/Fb8W/xh/Gr8c/x8/IP8ivyQ/JT8kfyE/Hb8efyb/Nz9Kf1g/Wf9Ovzw/Kf8efxp/Gn8avxk/Fz8V/xW/Ff8UfxD/C/8GvwI+/n77Pvf+9L7x/u7+637nPuK+3n7a/tg+1f7TftD+zr7Mvss+yj7JPsd+xP7Bfrz+uH60vrK+sv60PrU+tD6wPqn+oz6dfpl+lv6UfpG+jj6Kvog+hj6EvoO+gr6BvoE+gH5//n/+gH6BfoH+gX5/vn0+ev55Pnd+dT5x/m7+bX5tvm8+cL5xPnD+cX5z/ng+fT6A/oL+gz6DPoN+hH6Fvoa+hz6Hvoj+ir6Mvo6+kD6RfpK+lL6W/pm+nH6fPqH+pL6nfqp+rX6wPrM+tn65vrz+v77BvsN+xT7HPsl+y/7OvtE+1D7Xftr+3j7gvuJ+4/7lfud+6X7rfux+7L7sfuw+7H7tPu5+737v/vB+8T7yfvR+9n74Pvk++b75/vo++v78Pv3+//8B/wM/A/8EPwS/Bb8HPwk/Cv8Mfw0/Df8Ofw6/Dr8Ofw5/Dn8OPw4/Dn8Ofw7/D78QvxG/En8S/xL/En8R/xH/Er8UPxY/F/8Zfxq/HD8d/yA/Ij8j/yT/Jj8nfyk/Kz8tfy//Mv82Pzk/O388vz2/Pz9Bv0R/Rv9Jv0y/UP9Wv10/Yz9oP2v/bj9u/26/bj9u/3I/eD9/v4Y/iv+Nv5B/lL+aP58/on+jf6M/o7+mv6r/rr+wv7E/sX+y/7b/vH/Bf8V/x//KP80/0f/Xv93/4//pP+5/83/4f/yAAAADAAZACgAOwBOAF4AbAB5AIoAoQC5AM8A4gD1AQwBKgFOAXEBkQGsAcIB1wHpAfsCDwInAkQCYwKBAp0CugLaAv4DIwNDA14DeAOXA7sD3QP4BAsEGwQrBDkEPQQ2BCsELwRPBIsE0gURBUUFewXHBjQGuwdJB84IPQiQCMIIzQivCHMIKQfeB5cHTgcBBrUGdgZMBjUGJgYWBgUF+AXwBeUFygWeBWkFPAUfBRAFAATlBMQEqASaBJkEngSiBKcErwS6BMEEuwSnBI0EdQRnBFwETwQ8BCgEGQQQBAMD4wOrA1sC/gKgAkgB+gG5AYsBcQFlAVcBOQECALsAcgA5ABYABf/+//j/8v/u/+v/5//e/87/t/+c/4L/Z/9N/zP/Gv8E/vH+5P7a/tL+yf7A/rT+p/6b/pH+if6D/n7+ef51/nL+cv50/nn+f/6H/pH+mf6d/p7+nf6d/qH+p/6p/qX+l/6E/nH+YP5T/kf+O/4s/h/+Ff4P/g3+EP4X/iD+K/44/kX+UP5b/mT+bv57/ov+nf6v/r/+zP7X/uL+7v78/w3/H/8z/0n/Y/+B/6b/0QAAAC8AWgCBAKMAxADnAQwBNAFdAYgBtgHoAh4CVQKJAroC5gMQAzoDYwOMA7QD2wQCBCkEUQR3BJsEvQTfBQMFKQVQBXYFmgW9BeAGBAYoBksGbgaRBrUG2gb+ByAHQAdgB4UHrAfVB/oIGwg4CFQIcwiUCLYI1QjyCQwJJQk9CVUJbQmGCZ0JtQnMCeQJ/QoWCiwKPgpKClQKXgppCnEKcwpuCmUKWwpWClQKUwpQCkoKRQpBCj8KPgo6CjQKLAokChwKFQoPCgkKAwn8CfMJ6QneCdMJygnBCbgJrAmcCYgJcgleCU0JPwkwCSAJDwj+CPII6QjkCOAI2wjXCNMI0AjOCMoIwwi5CK8IpwiiCMwIugiiCIoIdQhnCGMIZAhnCGcIYghaCFQIVQhdCGwIgAiVCKkIuAi/CMAIwAjFCNUI7QkFCRcJHwkkCS8JRwlrCZYJvAnZCewJ+QoDCg0KFgofCikKNwpJCl0KbQp2CnkKewqFCpgKsQrGCs8KywrDCsMK1AryCxcLNgtMC1wLawt/C5gLtAvRC+0MCwwnDEIMVwxoDHcMhwyXDKcMsgy5DLwMwAzFDM4M2AzjDO4M9Qz6DPwM+Qz0DO4M6QzlDOMM4gzhDOAM4gzlDOgM6wzsDO4M9A0ADQ4NGQ0ZDRANBQ0FDRUNMQ1QDWoNgA2YDboN4w4ODjcOZA6dDuYPNQ93D58Psg/ID/kQTBCvEQQROhFTEWURghGtEdgR8hH3EfER7RHwEfQR8xHrEeIR4BHjEeQR2xHJEbgRshG5EcURzhHPEc4RzxHXEeMR7BHxEfIR7xHiEccRmxFrEUgRQRFbEYwRwxHzEhcSMhJGElUSXRJfElwSVBJEEiUR8hGxEXURVRFjEacSFBKYExwTjBPbE/4T8RO2E1gS6hJ/EiQR3hGoEXoRUBEsEQ8Q/BDvEOIQ0RC+EKwQoRCdEJgQjRB3EFoQOhAdEAMP6A/JD6YPgQ9fDz8PHQ73DswOng5yDkgOIA34DdANrA2ODXYNYw1QDTwNJw0SDPsM4wzJDK8MmgyPDJAMmQylDK8MtQy6DL4MwwzKDNQM4QzvDPcM9gzpDNQMwAy0DLMMtgy1DKsMmgyIDHgMagxbDEcMLwwXDAML8AvcC8ILowuEC2kLVQtECzQLJQsXCwwLAgr0Ct8KwwqgCn0KXAo+CiEKBQnqCc4JsQmPCWkJQQkaCPYI1Ai1CJgIfghmCE8INQgWB/UH1Ae2B5oHfQdeBzsHGAb4BtwGwwaoBokGZgZBBhkF8AXFBZsFcgVMBScFAgTbBLIEiwRmBEMEIQP8A9UDrAOEA10DNwMRAusCwwKaAnACSAIfAfcBzAGeAWwBPQETAO4AzACoAH4AUQAl//v/1P+r/37/Tf8c/u/+yP6k/n7+U/4k/fT9yP2g/Xr9Vf0w/Qv85/zC/Jz8cvxF/BX75fu3+4z7ZPs/+xn69PrP+qv6ivpq+kz6LPoL+er5yfmp+Yr5avlI+SX5BPjk+MX4pfiE+GD4O/gV9/H30Pe09533ifd392L3Sfcu9xL29vbd9sb2sfad9or2ePZl9lD2OvYl9hP2BPX59e714vXX9c31xvW/9bj1s/Ww9bL1tvW39bT1rPWi9Zz1nPWg9aP1o/Wd9Zb1kfWP9ZH1lPWV9Zb1lfWV9Zb1mfWe9aT1qfWu9bL1tvW79cL1yfXQ9db13PXi9en18PX59gL2DPYW9h/2KPYx9jz2SvZa9mn2ePaI9pj2qva79sv22vbq9vv3Dfcd9yv3OvdM92P3ffeW96v3vffQ9+X3/vgW+C34QvhX+G34hPia+K74wfjT+Ob4+fkO+SX5OvlL+U/5Rfkz+SH5G/kj+TT5RvlU+V75avl6+Y35nvmq+bP5u/nF+dH53Pnm+fD5/foP+iX6PPpV+m/6ivqg+q36r/qn+pv6k/qT+pv6p/q1+sH6zPrU+tr63fre+t/64frl+u369/sE+xH7HPsn+zX7Svtk+4H7mfun+677svu6+8f71Pvb+9v72/vj+/f8Evwn/C/8Kvwh/B/8Kvw//Ff8a/x7/Iv8n/y3/NL87/0L/Sb9Pv1R/V39Z/14/ZX9wP3x/h7+O/5F/kL+O/47/kH+R/48/hn96v3O/fL+c/9GADoBCQGCAZ0BggFnAXMBqAHuAioCVAJxAowCoQKiAoACOQHcAX0BLADtAMAAowCUAJIAmACfAKIAoACeAKIArAC5AMUAzADNAMYAuQCmAJMAgwB3AG8AZwBbAEwAOgApABkACv/7/+z/2//J/7j/p/+W/4X/cv9Z/zv/HP8E/vn++f8A/wb/BP77/u3+4f7W/sv+vf6p/pL+eP5c/j/+Iv4H/e/92v3D/af9hP1g/UH9K/0d/RT9DP0A/PL84fzO/Lz8rPye/JX8jfyD/HP8XvxI/Dn8M/wy/DL8LPwj/Bn8E/wR/BD8DfwI/AT8BfwJ/BD8F/wc/CD8Ivwj/CP8I/wn/DD8PfxJ/FT8XPxj/Gj8ZvxZ/Ef8PfxK/HP8qvzW/OD8xvya/HP8Yfxh/GT8XfxM/Dz8Nvw+/Ej8Sfw6/B77/vvj+9D7w/u5+7D7p/uf+5X7iPt4+2j7WvtP+0b7Pfs0+yr7Ivsd+xj7FPsM+wD67/rc+sn6u/q1+rj6wPrI+sn6vvqp+o76dPpg+lH6Rfo4+ir6HPoR+gr6BvoD+f75+Pny+e356/ns+e/58vny+e756fnk+d/52fnO+cD5sPmn+an5s/nA+cb5w/m7+bf5v/nS+er5/voJ+g36D/oT+hr6Ifol+iX6JPoi+iP6Jvoq+i/6Nfo9+kn6Vvpl+nL6f/qM+pj6pPqu+rj6wPrK+tb65Prx+vz7BPsL+xL7Gfsi+yv7NPtA+037XPts+3n7g/uK+5H7m/um+7L7u/vA+8H7wPu/+7/7wfvE+8j7y/vO+9L71/vd++P75/vq++378Pvz+/j7/fwD/Aj8DfwS/Bb8Gvwc/B/8JPwp/DD8Nvw7/D78P/w+/D78Pvw+/D78PPw7/Dr8Ovw8/EH8RvxK/E78T/xO/Ev8SPxH/Er8UPxX/F38YPxj/Gn8cvx9/Ib8i/yN/I/8k/ya/KP8q/y0/L/8y/zY/OP86/zw/PT8+/0F/RL9IP0y/Uf9YP18/Zj9sP3C/cz9zf3I/cL9wf3H/db96f35/gX+D/4d/jT+T/5p/nr+gf6E/on+lf6l/rP+u/69/r7+xv7V/un+/P8L/xP/G/8n/zr/Uv9r/4P/l/+s/8L/2P/t//wABwASAB8AMQBDAFQAYgBxAIMAmQCwAMUA1wDqAQMBJAFKAW8BjwGpAb4B0AHgAfECBwIjAkUCaQKJAqQCvgLaAvsDHAM3A0wDYQN6A5sDvQPZA+0D/wQUBCoEPARBBD4EQwReBJgE5wU7BYgFzQYVBmkGzwdHB8wIVQjRCSoJSgkoCNMIZQf6B54HTQcBBrcGeAZKBi4GHAYMBfsF6wXfBdIFuQWTBWQFNwUVBPwE5QTKBK4EmQSRBJIEmASdBKIEqwS4BMAEuwSnBIsEcgRjBFoETwQ9BCcEEwQCA/ED1AOiA1oDBAKoAlECBwHQAa4BngGUAYEBWAEYAMwAhABMACgAEQAC//b/7f/n/+P/3//W/8b/sv+Z/37/Yv9F/yr/Ef77/un+2f7L/r/+tP6s/qP+mf6N/oH+d/5w/m3+bP5t/nH+df57/oH+if6R/pj+nf6f/p/+oP6j/qv+sf6y/qj+lf59/mj+Wf5Q/kn+Qf42/iv+If4a/hb+Ff4Z/iP+Mv5E/lX+Yv5s/nP+ff6K/pz+rv6//s3+2P7h/uz++f8J/xr/LP8+/1L/av+J/6//2gAJADcAYgCJAK4A0gD2ARsBQAFmAY8BvgHyAikCXwKRAr8C6wMXA0MDbgOWA7sD3wQEBCsEUwR7BKAExATnBQoFLQVQBXIFkgWzBdUF9wYZBjsGXwaDBqgGzQbyBxUHOAdcB4IHqQfOB+8IDQgqCEkIagiNCK4IzQjpCQMJHQk4CVQJbwmJCaAJtQnHCdsJ8woNCicKPQpNClkKZApvCnoKgQqCCnwKdApsCmUKXgpWCk8KSgpKCkwKTwpNCkQKOAoqCh4KFQoOCgUJ+QnpCdgJxwm5Ca8JqgmmCaAJkwl/CWgJUAk9CS0JIAkUCQkJAQj+CQIJCAkOCQ4JBwj6COwI4AjYCNQI1QjZCNwI3AjYCMgIqwiNCHUIZghgCF8IXAhUCEoIQwhDCEsIWQhnCHQIfgiKCJkIqAi1CL4IygjfCQAJKQlNCWAJYQlYCVIJWQlwCY4JqQm7CcQJygnSCdwJ6Qn3CgYKFwoqCj4KUApfCmwKeQqKCpwKrgq6Cr0Kuwq8CscK4AsCCyILOQtHC1ALXwt4C5sLwQvlDAMMGwwwDEMMVAxkDHMMgQyNDJgMoQymDKwMtAy+DMsM1wzfDOQM5wzpDOwM7QzrDOcM3wzZDNUM1AzWDNkM2wzcDN4M4QzmDO0M9w0FDRINGA0VDQsNBA0KDSENRA1pDYcNng25Dd4ODw5HDoAOuQ71DzMPbg+cD7wP2RAGEE4QrBEIEUgRZxFxEX0RmhHBEeMR8xHyEesR5xHmEeIR1xHMEcgRzxHXEdURwxGtEaMRrBHBEdERzBG2EZsRjRGTEasRzhH5EicSTRJYEjcR6xGJETYREhEnEWQRrRHrEhgSOBJSEmYScRJxEmcSWBJBEh4R6RGpEXERXxGJEfEShhMoE7YUGBRIFEcUIhPkE5kTSxMBErwSehI3Ee4RohFbESIQ/hDrEOEQ1hDHELYQqRCiEJwQkRB9EGEQRBArEBQP+w/bD7YPjw9sD0wPKw8GDtoOrg6FDl8OOw4VDe0Nyg2tDZkNiA11DWANSw06DSkNFQz4DNUMtAyfDJwMqAy8DM4M2wzlDO8M/g0SDSsNRQ1bDWYNXw1HDSYNBwz0DO0M6wzmDNgMxAywDKAMkQyBDGwMVQw/DCwMGQwCC+YLxguqC5QLhAt1C2ULVAtDCzULKAsWCvwK3Aq5CpkKfApgCkUKKQoLCe0JzQmpCYQJXgk5CRgI+QjcCMAIpQiLCHAIUQgvCA0H7QfRB7kHoAeCB2AHPgceBwEG5gbKBqwGigZlBj4GFQXrBcQFngV5BVMFKwUABNcEsQSOBGsERgQdA/QDzAOmA4EDWwM1Aw0C5QK8ApMCagJBAhgB7wHEAZYBaQE+ARgA9ADOAKMAdABGAB3/+P/S/6n/fP9O/yL++v7U/qr+fP5M/h799f3R/a79iv1j/Tz9Ffzu/MX8mfxq/Dn8Cvvg+7n7lPtv+0n7Ifr5+tT6sfqQ+nH6U/o0+hX59/nZ+bn5l/l1+VX5NvkZ+Pv42/i3+JH4avhD+B/3/vfh98n3tvej94/3d/db90D3KPcS9vz25/bQ9rv2p/aV9oL2bfZX9kL2MPYi9hX2CfX+9fP16/Xk9d712fXX9df12PXX9dH1x/W99bf1uPW89b/1vvW49bH1rfWt9bD1sfWw9a31qvWo9ar1rvWy9bb1uvW/9cb1zvXX9d314fXk9ef17PX09fz2BfYO9hj2IvYq9jH2OPZA9kz2W/Zs9nr2hvaS9qH2tPbH9tj25/b19wT3Fvco9zj3R/dX9233hveg97b3yPfY9+z4BPge+Df4TPhf+HP4ifif+LX4x/jX+Ob49vkK+SH5OPlG+Un5Pvkr+Rz5GPkh+TP5RflS+Vr5Y/lx+YX5mvmq+bT5uPm9+cX50fni+fH5/PoA+gL6B/oY+jj6Y/qL+qf6sPqs+qL6m/qb+p76ofqj+qb6q/qz+rv6v/q9+rn6t/q7+sf62frr+vv7B/sR+x77MPtG+1z7bft2+3v7gfuN+577q/uy+7H7sfu6+8775fv0+/P76Pvd++D78vwN/Cb8OvxK/F38dvyT/K78xPzW/Of8+f0M/R79Mv1N/Xb9q/3i/g3+I/4o/if+K/44/kL+O/4b/e390f3q/lT/Cv/mAK8BNQFoAV4BQwE/AWABmAHPAfMCCgIeAjYCSAJBAhQBwwFhAQMAuQCGAGUATwBDAD0AOwA5ADYAMgAxADQAPQBHAFAAVwBaAFgATwA+ACsAGgAOAAgABP/9/+//3f/I/7T/ov+R/4H/b/9Z/0D/Jv8P/vv+6P7U/r3+pP6Q/oT+gv6F/of+hP59/nX+bv5o/l7+T/47/if+E/4A/ev90/26/aH9iv1z/Vj9Of0Z/Pz85/zZ/M/8xfy5/Kz8nfyM/Hr8Z/xY/E/8TPxI/D78K/wW/AX7//wA/AP8Afv5+/H76/vp++j75Pve+9j71/vb++D75vvq++778vv0+/P78/v2+//8CvwT/Bn8Hfwh/Cr8Mfwx/Cj8GvwU/B38MfxD/Ef8Pfwx/DP8Rfxd/Gn8X/xE/Cn8H/wo/Dj8Pvwv/A775/vG+6/7ofuX+437hPt8+3f7cfto+137UPtD+zb7Kvsf+xT7C/sG+wT7Afr7+u/63frH+rL6pPqf+qL6q/q1+rr6tvqp+pT6e/pk+k/6Pvou+h/6EfoH+gH5/fn7+fX57fnj+dz52fnb+d753/nd+dv52/nc+dv51fnF+a/5nPmT+Zr5qvm6+cD5u/mx+a75t/nL+eP59fn++gD6AfoI+hP6IPoq+i76Lvos+ir6KPon+ij6LPo0+kL6Uvpj+nP6g/qR+p76qPqx+rj6v/rI+tT64frt+vj7AfsJ+xL7G/sk+yv7NPs++0z7W/tq+3T7fPuC+4r7lfui+6/7uPu/+8L7xPvH+8n7zPvP+9P71/vc++H75vvp++z77fvv+/L79vv8/AL8B/wL/A78EvwY/B/8Jvwq/Cz8Lfwv/DP8OvxB/Eb8R/xG/EX8RPxE/EP8Qfw+/Dz8PPw+/EH8RPxG/Ef8SPxI/Ef8R/xI/E38U/xa/F78YPxh/Gb8cPx7/IX8ivyL/Iv8jvyU/Jr8oPym/K38tvzD/NH83fzl/O389v0C/RH9JP04/U39ZP17/ZL9p/24/cT9yv3K/cn9yv3O/db93v3k/ev99f4G/iD+Pf5Y/mr+dP55/oD+iv6Y/qX+r/61/rv+xf7V/uf++f8G/xH/G/8p/z3/VP9q/3z/jf+f/7b/z//n//kABQAPABsAKwA/AFMAZgB5AI8ApgC8AM4A3QDtAQQBIwFGAWkBhgGdAbEBwwHUAegB/wIdAkACYwKAApYCqgLBAtwC+AMQAyQDOQNVA3gDnAO5A9AD5QP/BB0ENgRCBEIERwRmBKgFCAV0BdYGJQZjBpsG3gc7B7kIVAjzCXEJqwmOCSgInwgYB6oHUwcJBsEGfgZIBiQGDgX8BekF1gXEBbIFnQWBBV0FOAUWBPUE1ASzBJUEggR+BIQEjQSUBJkEoASoBK4EqwSbBIQEbwRhBFkEUARABCsEFgQDA/AD1QOpA2gDFgK7AmUCHgHtAdIBxAG2AZoBaQEoAOEAoABsAEYAKAAR//7/8P/o/+H/2P/L/7r/pv+P/3b/W/8//yX/Dv77/un+1/7E/rP+p/6f/pn+kv6H/nr+bf5k/l/+X/5j/mr+c/58/oX+jP6T/pf+mv6c/p7+ov6r/rX+vv69/rL+nf6F/nD+Yv5Y/lH+Sf5A/jf+L/4p/iT+I/4n/jP+R/5e/nL+f/6G/ov+kv6d/qv+u/7J/tX+4f7u/vz/DP8c/y3/Pf9P/2T/ff+c/8D/6QAUAD8AaACQALgA3wEEASYBRwFqAZMBwwH5AjACZAKTAr8C7QMcA0wDeQOiA8YD6QQMBDIEWQR+BKMExgTqBQ0FLwVQBXAFkAWxBdIF8wYUBjUGVwZ6Bp8GxQbqBxAHNgdfB4cHrQfPB+wICAgmCEcIaQiLCKsIyAjjCP0JGQk2CVQJcQmNCaUJuQnKCdsJ8AoKCicKQgpYCmcKcgp8CoUKjQqQCo4KiAp/CnQKaQpeClgKVgpbCmIKZgpjClgKRgoxCh0KCgn3CeYJ1QnECbUJqQmhCZwJmwmZCZUJiwl7CWcJVAlECTYJKwkhCRgJFAkUCRgJHQkfCRsJDwj+COwI3QjUCNMI2gjjCOoI6gjeCLUInQiJCH4Iegh7CHgIbghcCEoIQAhDCFEIZAhxCHgIewiCCI4InwiwCMAI1Qj2CSQJWAmCCZcJlgmLCYMJhwmUCaEJpwmkCZ4JnAmhCa4JvgnPCeEJ9AoGChcKKAo5Ck8KaAqBCpcKpQqrCqsKrAq1CsgK5QsECyALMgs+C0kLWwt4C54LyAvtDAkMHQwrDDcMRAxQDF0MaQx1DH8MhwyPDJgMowyxDMAMzQzVDNgM2AzYDNsM3gzgDNwM1QzODMwMzgzUDNgM2QzYDNoM4QzrDPYNAQ0KDRANEg0QDQwNDQ0aDTUNWw2CDaQNwQ3fDggOQA6DDssPEA9PD4EPpw/AD9gP/RA8EJYQ+BFIEXYRhRGIEZMRrhHREesR9BHwEegR4RHaEdERyxHREeYSABIIEfIRxBGaEZARqhHVEe4R3xGvEXURTxFJEWERkhHUEiASZRKGEmsSEhGXESoQ9REEEUURlBHYEgoSLxJQEmsSeRJ4EmgSURI0Eg4R2xGhEXIRbBGiEhcStBNSE80UERQeFAYT4RPBE6wTnBOKE2kTMxLnEoUSFxGrEVARERDuEN8Q1xDLELwQrRChEJkQjhB+EGcQThA3ECEQBw/nD78Plw9zD1QPNQ8SDukOvw6YDnUOUg4vDgwN7Q3UDcENrQ2WDXwNZg1ZDVINRg0tDQYM3Ay+DLUMwQzYDPENBw0bDTENSw1oDYgNpg29DccNvg2jDX0NWA07DSgNGw0LDPcM4QzODL8MsQyhDI0MeAxlDFMMPQwiDAML5AvOC8ALuAutC50LiQt0C2ALSwsxCxIK8QrSCrcKnwqGCmkKSgopCggJ6AnFCaIJfgleCT8JIgkFCOcIygitCI8IbwhMCCoICgfvB9UHuwedB30HXAc/ByMHCAbqBsoGpwaDBlwGNQYOBegFxAWhBXsFUwUpBQEE2wS3BJEEZwQ8BBID6wPHA6MDfANUAysDAwLcArMCiAJcAjMCDAHmAb4BlAFqAUIBGwDzAMgAmgBsAEIAHf/6/9b/rf+B/1X/K/8C/tf+qf56/k3+Jv4D/eH9vf2V/Wv9Qf0X/Oz8v/yR/GP8OPwQ++z7yful+377Vfss+wT64Pq++p76f/ph+kT6JfoG+eT5wvmg+YL5ZvlK+Sz5Cvjk+L34lvhx+E34LPgO9/b34vfP97v3oveI92/3WfdG9zH3GvcA9ub20Pa+9q72m/aG9m/2W/ZK9jz2L/Yj9hj2DvYH9gH1/fX79fr1+fX29e/15fXb9dX11fXX9dn11/XR9cv1yPXI9cn1yfXG9cH1vPW69b31wfXG9cn1zPXR9dr15fXu9fT19fX29fj1/vYH9hH2GvYj9i32NvY99kH2Q/ZJ9lX2Z/Z69on2k/ac9qn2vPbS9ub29fcC9w/3Ifc190j3WPdo93r3kPep98D30vfi9/T4Cvgl+D/4Vfhn+Hj4i/ig+LX4x/jX+Ob49/kN+Sb5PflL+Ur5PPko+Rn5FPke+S/5QflN+VX5X/lv+YX5nfmv+bb5s/mw+bP5wfnX+ez59fnu+d/51fnf+gP6Ofpx+pr6sPq2+rf6uPq8+rv6tPqo+p/6nvqk+qv6rvqo+p76lfqV+p/6sfrG+tr67Pr7+wv7HPss+zv7RvtN+1T7Xvts+3v7h/uM+4z7jfuV+6P7sPu2+7H7qfum+7D7xvvg+/X8BvwX/C/8Tfxr/ID8i/yS/J78s/zO/O79D/03/Wf9nv3Q/fT+BP4J/hD+Hv4t/jD+Gv3v/cr9z/4a/q7/awAkAKsA7QD5APAA9gEZAU8BgQGdAaIBoAGmAbUBvQGtAXoBKwDTAIcATgApABD//v/x/+j/4f/b/9b/1P/W/9z/4//p/+3/7//x/+//5f/U/7//rP+h/57/nv+c/5L/gf9r/1X/Qf8w/x//C/7x/tL+sP6R/nj+Zf5V/kX+NP4l/hn+E/4P/gr+Av34/fD96v3k/dr9y/26/az9of2Y/Yz9ev1j/Uv9M/0d/QX86vzP/Lf8pPyU/Ib8ePxq/F78VPxJ/Dr8KPwW/Av8B/wH/AP7+Pvp+9r70vvR+9H70PvN+8v7y/vM+8r7xPu7+7P7r/uu+7D7sfuz+7j7vfvC+8T7xPvG+8v70vvY+9r72vvc++b79fwB/AP7+vvu++X74/vi+9/72/vg+/b8HPxB/FT8S/wu/A/8AfwI/Bn8IfwV+/b70Puw+5v7jvuC+3T7ZftZ+1L7UftP+0n7P/sx+yP7FfsH+vv68frq+uj66Prl+tv6yfq0+qH6lPqP+o/6lPqZ+p36n/qb+o/6fPpl+k36N/ol+hb6CPn8+fP57vnr+eX53PnR+cf5w/nE+cb5x/nG+cb5yvnR+dX50Pm/+aX5j/mF+Yz5nPms+bP5sPms+a35uPnL+dz55fnm+eP55Pns+fz6Dvoe+in6MPoz+jT6M/ow+i/6Mfo3+kL6UPpg+nD6f/qN+pn6o/qr+rP6vPrH+tX64/rv+vn7AvsL+xf7I/st+zX7O/tE+077Wvtl+2z7cft2+337iPuU+577pvus+7L7ufvA+8f7zPvR+9b73Pvj++r77vvw+/L78/v1+/j7/vwE/Ar8D/wT/Bb8Gvwh/Cr8M/w5/Dv8Ofw4/Dv8QfxJ/E/8UPxP/Ev8SfxH/Eb8RfxD/EH8QfxC/EL8QvxB/D/8P/xA/EL8Q/xG/Ev8UfxY/F38YPxi/Gf8b/x6/IT8ivyL/Iv8jPyQ/JT8mPyb/KD8p/yz/MH8z/zb/Ob88v0B/RP9KP08/U79Xv1s/Xv9iv2Z/ab9sv27/cT9zf3V/dr93P3d/eD96f36/hH+Kv5B/lP+X/5p/nH+e/6G/pL+nv6p/rX+w/7T/uT+9v8F/xT/I/80/0n/Xv9v/33/iv+a/7H/zf/n//wACAARABsAKwA/AFQAagB/AJYArADAANEA3gDuAQIBHgE8AVkBcgGIAZ4BswHJAd8B9wISAi8CTAJlAnsCjwKmAsAC2gLxAwcDHwM+A2IDhQOhA7gD0APtBA0EJQQtBCwENARaBKcFEwWHBe0GPAZ3BqsG6Ac8B7EIRAjhCWcJrgmiCUkIwwg4B8EHYgcQBr8GcgYyBgUF6wXaBckFtgWhBY8FfAVnBU0FLwUPBO4EygSnBIkEdwRzBHsEhgSNBJAEkASTBJgEmgSUBIgEeARqBF8EVQRHBDYEIwQSA/8D5QO8A38DLwLXAoMCQAITAfkB5wHRAawBeQE8AP4AxgCUAGgAPwAdAAT/9f/s/+P/1f/C/63/l/+D/2//WP9B/yr/Ff8D/vD+2/7G/rP+pv6d/pf+kP6F/nj+a/5h/lv+Wv5c/mL+a/51/n7+hf6K/o3+j/6S/pf+n/6r/rn+w/7F/r7+rv6c/oz+f/50/mn+Xf5R/kj+Q/4//j7+P/5H/lb+bf6F/pn+pf6q/qz+sP63/sD+yf7T/t7+7P79/w//If8y/0L/VP9p/4H/nf+8/94AAwApAFEAeQCiAMoA8AETATIBTwFvAZgByQIBAjgCagKXAsEC7gMeA08DfQOnA84D8wQZBD4EYwSFBKUExwTpBQ0FMAVRBXEFkQWyBdIF8gYRBjAGUQZ1BpsGwQbnBw4HNQdfB4gHrgfPB+wICQgoCEoIbAiNCKoIxgjhCP0JGQk3CVQJcgmPCaoJwQnUCeYJ+QoQCioKRQpeCnIKgAqMCpQKmgqdCp0KmQqSCokKfwp3CnMKcwp4CnwKewp0CmYKUgo7CiAKBAnpCdIJwgm7CbsJvQm9CboJswmqCaAJlgmLCX4JcAliCVUJSQlACTcJMQkrCSUJHQkUCQkI/QjwCOUI3AjXCNgI3AjhCOII2wjLCLoIrgikCJ4ImgiWCI0IfQhoCFUITAhQCF4Ibgh4CH0IggiMCJ4IsQjDCNII5QkFCTMJZQmPCacJsQm1Cb4JywnTCc4JuwmhCY0JhwmOCZ0JrQm9Cc4J4QnzCgMKEAoeCjEKSwpoCoAKjgqRCpAKkwqfCrYK1ArzCw8LJQs3C0gLXAt4C5wLwgvmDAIMFAweDCUMLQw3DEMMTwxcDGgMdAx/DIoMlQyiDLEMvgzHDMsMywzKDMwMzwzRDM4MyQzFDMcMzwzYDN0M3AzZDNwM5gz1DQQNDQ0QDRENEw0XDR0NJg01DU4NcQ2aDcIN5w4NDjsOdg6/Dw8PWw+YD78P0w/eD/EQHBBmEMQRIRFlEYcRkRGVEaQRvRHXEeYR5xHfEdMRxhG5EbIRvxHnEiESUBJUEh8RyRGAEWwRkRHOEfQR5RGpEWARKxEZESYRSBF7EbsR+hIgEhMRzRFnEQ4Q5hD7EToRgxHBEfASFxI8El0SbxJvEl4SRRIoEgMR1BGeEXIRaBGTEfMSdBLyE1ATfROCE3UTcBOAE6QTyxPgE9UTpRNUEukScBH1EYcRMxD/EOUQ2hDSEMUQtRCoEJ0QkhCDEG4QVxBAECoQEA/vD8gPoQ9/D2EPRQ8lDv8O1g6vDosOaQ5JDioOEA36DeYNzQ2vDZINfQ11DXUNcA1bDTUNCgzpDN0M5wz+DRsNOw1dDYENpw3LDekOAQ4RDhcODw34DdYNrw2LDWwNUg06DSMNDwz+DPAM4AzMDLcMowyQDH0MZAxFDCIMBAvxC+gL4gvYC8gLswudC4YLawtLCygLBgrqCtQKvgqkCoMKYAo+Ch4J/wnfCb4JnwmCCWgJTAktCQsI6gjKCK0IjwhwCE8ILwgRB/QH1ge1B5QHdAdYBz4HIwcFBuQGwgadBngGUgYsBgYF4wXABZ0FdwVRBSsFBQTfBLYEiQRdBDQEDwPrA8UDnANwA0YDHwL6AtICpgJ5Ak4CKAIFAeEBuQGOAWQBPAEWAO0AwQCUAGoARQAkAAP/3v+z/4b/Wv8v/wT+2f6t/oP+XP44/hX98f3J/Z39cP1D/Rb86fy9/JP8avxE/CD7/PvX+7D7iPtf+zj7FPrx+tH6sfqS+nP6U/oy+g/57fnM+a75k/l2+Vb5MvkL+OT4v/id+Hz4XPg/+Cb4Evf/9+v30ve39573ifd292L3Svcv9xP2/Pbo9tf2xPau9pf2gvZx9mT2WPZL9j32MPYn9iH2HvYc9hv2GPYU9gz2A/X59fP18PXw9fD17vXp9eT14PXf9d713fXY9dP1z/XP9dL12PXc9d714fXl9e71+PYA9gP2A/YD9gj2EfYb9iX2LfY09j32RvZM9k/2T/ZS9l72cvaI9pr2pfat9rj2y/bi9vf3B/cR9x33LfdC91j3avd594j3m/ez98r33vfv9//4FPgs+Eb4XPhu+H34jvih+Lb4yfja+Or4/fkV+TD5R/lU+VL5Qvks+Rr5E/kZ+Sn5OvlJ+VT5YPlx+Yf5n/mu+bH5qPme+Z75rPnG+d755/nb+cX5tPm7+d/6F/pT+oT6pfq7+s363/rt+vD65frS+sD6tvqz+rL6q/qc+or6e/p2+nz6i/qd+rH6xvra+u36//sN+xj7Ivsr+zb7QftN+1b7XPte+1/7Yvto+3D7dvt3+3b7d/uA+5L7qfu++9D73/vx/Aj8IPw0/ED8R/xQ/GX8hvyv/Nr9Bf0x/WD9jv2z/cr90/3Z/eL97/32/ev9zP2o/Z/9zf47/tb/d//2AD4AVwBeAHEAoQDmASgBUgFbAU8BPQEzASwBHgD7AMMAfwBAAA7/6//S/77/rP+f/5X/j/+K/4j/iP+N/5T/mf+a/5j/lP+R/43/g/9x/1v/R/87/zf/Of85/zL/JP8R/v3+6/7a/sn+s/6X/nb+Uf4u/hD9+P3l/dT9xP22/ar9of2Z/Y/9gv11/Wr9Yv1b/VH9Rf03/S39J/0j/Rz9EPz//Oz82vzI/LT8nfyG/HL8YPxQ/D/8LPwb/A/8CfwE+/v77fvc+8/7yPvI+8n7xvu++7P7qfui+577nPuc+6H7qPut+637pvub+5H7ifuG+4P7gfuC+4b7jfuT+5X7kvuQ+5H7l/ud+6H7ovuk+6v7uPvG+8z7yfvB+7n7tPux+6z7p/us+7/74PwD/Bb8Efv5+9/70fvX++b77/vn+8/7sfua+4z7hPt6+2j7Uvs9+zD7LPsq+yf7H/sU+wf6/Prx+uX62frQ+sv6yvrI+sH6tPqk+pb6jfqJ+ob6gvp9+nr6evp7+nj6bfpb+kX6MPof+hD6Afnz+eb53PnV+c/5xfm5+a75qPmn+aj5qvmq+az5svm8+cP5wPmy+Zz5ifmB+Yf5lPmi+an5q/ms+bL5vfnJ+c/5zvnJ+cb5yfnU+eX59/oJ+hf6I/ot+jT6Ofo8+j76QPpE+kv6U/pd+mj6dfqC+o76mfqi+qz6ufrI+tj65/ry+vr7AvsN+xv7K/s4+0L7SftQ+1j7YPtm+2r7bftw+3f7gPuJ+4/7k/uY+577qPuy+7z7w/vK+9H72fvi++r77/vy+/X7+fv+/AT8CvwQ/BX8Gfwc/B/8JPwq/DP8PPxC/ET8RPxD/ET8SvxQ/FX8VfxS/E38SvxI/Ej8SPxH/EX8RfxF/EX8RPxB/ED8P/xA/EH8QfxB/ET8SPxQ/Ff8Xfxh/GX8a/x0/H38g/yH/Ij8ifyL/I78kvyW/Jv8o/yu/Lv8yPzU/OD87fz9/RH9Jf03/UX9Tv1W/V39Z/10/YP9lP2l/bb9xf3P/dT91P3U/db93v3r/fv+Dv4h/jP+RP5S/l7+Z/5w/nr+hv6V/qb+t/7J/tz+7/8B/xP/J/87/1D/ZP91/4H/jf+d/7X/0f/sAAAADAAUAB0AKwA9AFEAZAB2AIkAnQCxAMIA0wDkAPoBFAEvAUgBXwF1AY4BqQHDAdsB8AIDAhgCLwJHAmACfAKZArUCzwLlAvsDFAMyA1IDcAOIA54DuAPWA/IEAQP/A/gEBAQ1BIwE9wVeBbMF+QY+BowG5wdKB7EIHQiKCOsJKQkxCP4InggrB70HWgcABqkGWAYUBeUFyQW4BagFlAV/BWwFWgVGBS4FEgT1BNcEugSeBIYEdwR0BHwEhgSLBIoEhASBBIUEjQSTBJEEhwR5BGsEYARWBEwEPwQuBBkD/APQA5IDRALwAqECZAI8AiICCwHtAcMBkAFaASYA9ADAAIkAUwAmAAf/9//w/+f/1//A/6f/kf9//27/XP9I/zT/H/8M/vf+4f7N/rr+rP6i/pj+jf6A/nX+a/5l/mH+X/5f/mP+aP5v/nb+e/5+/oD+g/6I/o/+mv6o/rj+xv7M/sr+w/65/q/+p/6c/o7+fv5w/mb+Yf5g/mH+Zf5v/n/+lf6s/r7+yf7N/s7+0f7W/tv+4P7m/u7+/P8N/x//Mf9C/1T/af+D/6D/v//fAAEAJgBMAHQAnADDAOkBDQEtAUsBZwGHAa8B3wIUAkkCeQKjAswC9gMiA1ADewOkA8wD9QQeBEYEagSKBKkEyQTtBRIFNwVYBXcFlQWzBdIF8AYNBiwGTQZyBpoGwQboBw4HNQddB4UHqwfOB+4IDggvCFEIcgiRCK4IyAjhCPwJFgkyCU0JagmHCaQJwAnZCe4KAQoTCicKPApTCmsKgQqTCqAKpwqrCq0KrAqqCqYKoAqbCpcKlgqUCo4KhQp4CmoKWgpJCjQKGwoCCe8J6QnvCfsKBgoGCfkJ5AnMCbcJqAmdCZQJiAl6CWsJXglVCU8JSglACTMJIgkRCQQI+gjzCO8I6wjpCOcI5QjiCNwI0wjHCNMIzQjDCLYIqAiaCIwIfghwCGQIYAhlCHAIfAiECIoIkwijCLkIzwjdCOcI9AkNCTQJYAmJCacJwAnbCfkKEQoWCgAJ1wmuCZgJmQmqCb0JyQnQCdkJ6Qn9Cg4KFgoaCiIKMwpMCmQKdAp5CnkKfQqJCqAKvgrfCv8LGwszC0cLWwtzC5ILtgvZC/UMBwwQDBYMHAwmDDMMQQxPDF4MbQx6DIQMjgyYDKMMsAy6DMAMwgzBDMEMwQzBDL0Mugy6DMEMzwzdDOMM4QzdDN4M6gz8DQwNFQ0WDRcNHA0oDTUNQg1RDWYNhw2yDeIOEQ4/DnEOrw76D0oPkw/ID+MP7A/yEAgQORCEENsRKBFeEXsRihGYEasRwRHPEdIRyxG/Ea4RmhGGEX8RmhHaEi4SahJoEhwRqhFMETARWBGdEcoRwxGPEU8RIxERERARFBEbESsRRhFcEV0RQBESEO0Q6hELEUMRexGoEc0R8RIYEjoSTxJREkQSMRIaEfwR0hGfEW8RVRFjEZkR6RI+EoASqBK6EsoS6RMcE1kTjxOoE5sTaxMhEsYSYxH9EZwRTBETEPMQ5RDdENMQxRC1EKcQmRCJEHQQXRBFEC0QFA/2D9QPsQ+RD3YPXA89DxkO7w7GDqEOgA5iDkcOLg4XDf8N4w3GDawNnA2YDZkNkQ16DVYNMA0VDQ8NGw0zDVMNeg2oDdoOCg4wDkgOVg5cDl4OWg5MDjMOEQ3tDckNqg2QDXwNbQ1eDUsNMw0XDPoM4gzNDLYMmAxzDE0MLQwYDAoL/gvtC9gLwwuvC5sLgQtgCzwLGwsCCuwK1Qq3CpIKbApLCi8KFQn5CdsJvwmmCY4JcwlSCSwJBwjnCMsIsQiVCHYIVgg3CBkH+QfWB7IHkAdxB1UHOQcbBvoG2Aa2BpQGbwZKBiQGAAXdBbsFlwVzBU4FKAUBBNcErASBBFoENgQRA+kDvAOOA2QDPgMaAvQCyQKcAnACSwIoAgMB2gGsAYABVwEyAQ0A5gC7AJIAbQBNAC4AC//i/7T/hv9a/zD/B/7e/rX+jv5o/kX+IP34/c39n/1w/UP9F/zu/Mb8nvx3/FH8K/wF+977tvuO+2j7RPsj+wP64/rD+qL6f/pd+jr6Gfn5+dv5vfme+Xz5Vvkv+Qr46fjJ+Kv4jPhv+Fb4QPgt+Bj3//fl98v3tPeg94z3dvde90X3LfcX9wL26vbR9rr2qPaa9pD2hPZ09mL2UvZG9j/2PfY89jr2NvYv9ib2HPYS9gr2BvYE9gP2AfX+9fr19/X09fL17/Xr9eb14/Xj9eb16/Xu9fH18vX39f72BvYN9g/2EPYR9hj2IvYu9jf2PPZB9kj2UvZa9l72XvZg9mv2f/aX9qv2uPbB9sv23fbz9wn3GPci9yv3OvdP92X3ePeG95P3pPe699L36Pf6+Av4Hvg1+Ez4Yfhz+IP4lPio+L340fjj+PP5Bfka+TP5SflW+Vb5Sfk0+SD5FfkY+SX5N/lI+Vb5Yflv+YL5lPmh+aP5mvmQ+Y/5nvm4+dH52vnQ+br5qvmw+dD6A/o6+mn6j/qx+tT69/sS+x/7G/sK+vf65frW+sT6rPqR+nf6Z/pi+mf6cfp9+or6mvqs+r/60Prf+uz6+PsE+xH7HPsj+yX7Jfsm+yn7Lvs0+zr7P/tE+0v7WPtp+337kfuj+7T7xPvU++P77fvy+/f8BPwd/EP8cvyj/NH8/f0o/VP9dv2O/Zf9mv2c/aP9pv2c/X/9Wv1F/Vv9qP4j/q7/Jv90/5z/sf/OAAMATwCfAN0A/QEAAPEA3ADFAKcAfgBJAA7/2v+1/53/jf99/2z/W/9Q/0r/SP9H/0b/R/9M/1H/VP9S/0v/Q/8+/zn/Mf8j/xH+//7y/u3+6/7p/uT+2/7Q/sT+t/6m/pL+eP5b/jr+F/3x/cz9p/2G/Wj9UP0+/TT9Lf0n/R79EP0A/PH85fzb/NL8yPy9/LX8rvyp/KP8m/yS/Ir8gfx2/Gj8VPxA/C78HvwR/AH77vva+8v7wvu++7r7sful+5n7kfuQ+5H7kfuN+4b7fPty+2r7Z/tp+3H7e/uE+4b7gvt5+3H7avtl+2H7Xftb+177ZPto+2f7Yftb+1n7X/tn+277cvtz+3f7fvuH+4z7jPuL+4r7jPuN+4r7hfuC+4r7nfu1+8T7xPu1+6L7mPub+6b7rvur+5z7iPt7+3b7dftv+1/7R/st+xn7DfsH+wH6+frv+ub63/rY+s76wvq2+q76qvqp+qb6nvqU+o36ifqH+oL6d/pp+lz6VvpW+lb6UfpE+jP6I/oX+gz5//nv+d750PnG+b75tPmo+Zv5kfmO+Y75j/mR+ZP5l/me+aP5ovmZ+Y35g/mC+Yn5lPme+aX5qvmv+bf5vvnB+b75t/my+bT5vfnL+dv56vn3+gT6EPod+ij6M/o7+kP6SfpP+lP6Vvpb+mP6bvp7+oj6k/qe+qj6tfrE+tT64vrs+vP6+/sH+xf7Kfs6+0f7Uvtb+2T7a/tx+3T7d/t6+4D7h/uM+4/7kPuS+5f7n/up+7L7uvvB+8r71Pve++b77Pvw+/X7/fwG/A/8Ffwa/B38IPwj/Cb8Kfwu/DT8O/xC/Eb8SPxJ/Ev8UPxU/Fb8VfxS/E38SvxJ/Er8SvxI/Eb8RfxF/EX8RfxF/EX8RvxG/ET8Qfw+/D38QPxH/E/8V/xc/GD8Y/xo/G78dfx6/H38f/yC/Ib8i/yQ/Jj8ofyt/Lr8xvzQ/Nv85/z3/Qr9Hf0t/Tf9PP0+/UL9Sf1W/Wf9fP2S/aX9tP29/cD9wP3B/cT9zP3W/eL98P4A/hL+Jv44/kb+T/5W/l/+bP59/pH+pf65/s7+4v74/w3/Iv84/0//ZP92/4T/kv+j/7r/1f/t//8ACgARABoAJwA3AEcAVgBkAHQAhgCaAK8AxADaAPEBCwEjATsBUgFrAYcBpQHBAdcB5wH0AgMCFgIvAk0CbgKPAqwCxALYAuwDBAMfAzsDUwNnA30DmAO0A8gDxwO3A6wDwAQCBGYEzwUkBWEFmwXtBmMG6wdnB8EH9wgaCDsIXAhuCGEILQfdB4EHJgbTBocGRQYPBecFywW0BZsFfwVkBU0FOAUjBQkE7QTSBLsEqASWBIYEegR3BHwEhQSKBIYEfAR0BHYEgASMBJAEigR+BHIEbQRtBGwEZQRUBDgEEwPhA6EDVQMFAr0ChQJhAkgCLwIMAd8BrgF+AVIBJQDvALEAcQA5ABQAAf/4/+7/3P/E/6v/lf+E/3X/ZP9R/z3/KP8T/v7+6v7Y/sj+uv6s/pz+jf5+/nT+bv5r/mr+af5p/mr+bf5x/nT+dv53/nn+ff6D/oz+mf6q/rz+zv7a/t/+3f7Z/tP+zf7D/rX+pf6W/ov+hv6F/ob+if6R/qD+tf7K/tv+5P7o/uv+7v7z/vn+/f8B/wn/FP8j/zP/RP9V/2r/hP+h/8D/3wAAACMASwB1AJ8AxQDpAQwBLgFQAXEBkQGyAdgCAgIwAl4CiQKyAtoDAwMtA1YDfQOiA8gD8QQbBEQEaQSLBKsEzwT2BR8FRQVmBYMFngW5BdYF8wYQBi8GUQZ2Bp4GxwbvBxUHOgdgB4UHqwfOB/EIEggzCFQIdAiSCK0IxQjbCPIJCQkiCT0JWAl1CZIJsAnNCegJ/goPCh4KLQpACloKdwqSCqYKswq6Cr4KwArBCsAKuwq0Cq0KpgqeCpUKiQp+CnUKcApqCmIKVQpGCjwKPApECk0KTwpDCigKBQnjCccJtgmsCaMJlgmGCXYJaQljCWEJYAlZCUwJPAkrCR0JFAkOCQkJAwj8CPYI8AjpCOMI3QjYCOUI3wjRCL4IqgibCJEIigiFCH8IfQiBCIoIkwiZCJwIowixCMQI2AjmCPAI/AkTCTYJXgmECaQJxQnsChUKMQoxChEJ4Qm5CbEJyAnuCgsKFAoPCgoKEQoiCjAKNAouCigKLwpCClsKbwp6Cn4KggqOCqQKwgriCwILHQszC0ULVgtsC4kLrQvQC+wL/QwGDAwMFgwjDDMMQQxPDFwMawx4DIMMjAyTDJsMpgywDLcMugy5DLgMuAy1DLEMrQyuDLgMygzbDOUM5QzhDOIM7Az8DQwNFQ0YDRwNJg02DUcNVg1nDX8NpA3VDgoOPQ5vDqUO5w80D4EPvw/lD/IP9hABECMQWxCiEOcRHRFDEV4RdhGREaoRuhG9EbURqRGcEYwRdBFZEUoRXhGYEeUSGhISEccRWxEGEO8RFhFUEX4RfRFcETgRJREjER8RDBDsEM4QvxDBEMoQ0hDZEOgRBBErEVIRchGLEaURxRHrEgsSHhIiEhwSExIHEfMR0RGhEW8RSRE7EUgRbBGaEccR7BIKEioSUhKDErMS1RLcEsUSmBJiEisR9RG8EYERSREcEQEQ9BDsEOIQ0xDBEK4QnRCLEHYQXxBHEDAQGA/+D+APwg+mD4wPcQ9TDy0PBA7bDrYOlw56DmAORQ4qDg8N9Q3fDdANyg3IDcMNsQ2SDW0NTg0/DUMNVg1yDZYNwg35DjMOaA6ODqEOpg6mDqYOpQ6hDpMOfQ5gDkEOJQ4ODf4N8A3gDccNpQ1+DVcNNg0aDPwM1gyrDIAMXAxCDC0MFQv5C9sLwguwC58LigtuC04LMQsaCwUK6grICqAKewpdCkcKMQoYCf0J4gnKCbMJlwlzCUsJJQkFCOwI1Ai5CJkIeAhaCD0IHwf+B9kHsweQB28HUAcwBw8G7gbNBq0GiwZnBkEGHQX6BdcFtAWQBWkFQwUcBPQEzASkBH4EWQQzBAkD3QOwA4UDXwM7AxUC6wLBApgCdAJQAioB/QHMAZwBcQFNASsBBgDeALcAkwBzAFUANAAM/9//sf+F/1z/NP8L/uH+uf6S/m3+SP4g/fT9x/2a/XD9SP0h/Pr80vyq/IL8Xfw3/BD75/u++5b7cvtR+zP7E/ry+s76qvqH+mX6Rfom+gb55fnD+Z/5evlW+TT5Ffj3+Nn4u/ic+IH4afhT+D74JvgN9/L32vfD96/3m/eG93H3XPdE9yr3D/b09t72z/bF9rv2rvab9ob2cvZk9l72XPZc9lr2U/ZK9j72M/Yo9h/2GfYW9hT2E/YS9g/2DPYI9gX2APX89ff19PXz9fb1+vX99gD2AvYG9g32FfYc9h72H/Yh9ij2MvY+9kb2SvZN9lL2W/Zl9mv2bvZy9nz2jvak9rj2xfbP9tn26vb/9xX3Jfcw9zr3SPdb93D3g/eR9573rffB99j37/gD+Bb4Kfg9+FL4Zfh3+If4mviv+Mb42vjs+Pv5Cvkc+TD5RPlS+Vb5Tfk8+Sj5G/ka+SX5OPlK+Vf5X/ln+XP5gfmO+ZT5kfmM+Y75nfm0+cv51PnN+b35s/m6+dX5/voq+lP6ePqe+sn69PsZ+y/7Nfst+x/7DPr0+tT6rfqG+mn6WvpZ+mD6aPpt+m76cvp7+on6mvqr+rr6yfrW+uL66frs+uv66vrs+vL6+fsB+wj7Efse+zD7Q/tV+2P7cPt++4/7ofuv+7T7svuv+7j70/v+/DH8YfyL/LL82/0J/TT9U/1i/WT9Y/1m/Wr9Yf1D/RL85PzW/Pv9U/3I/jn+kv7O/vr/Kv9q/7gABgBGAG0AewB4AGsAWAA8ABP/3/+m/3L/T/88/zT/Lv8k/xf/DP8G/wb/CP8J/wj/B/8K/w7/D/8L/wP++/73/vX+8/7t/uP+1/7N/sb+wf68/rf+tP6z/rL+rf6f/of+af5I/ib+A/3b/av9c/06/Qf84PzJ/MD8wPzA/Lr8rfyb/If8dvxp/F/8V/xO/Eb8Pvw3/DH8Lfwr/Cr8Kfwl/Br8Cvv3++f72/vS+8f7uPul+5P7hvt++3n7dftu+2b7X/ta+1j7V/tU+0/7SPtA+zn7Nfs2+zz7RvtP+1T7VvtU+1H7TvtL+0b7QPs8+zz7Pfs9+zn7Mvss+yr7Lvs1+zr7PPs8+z77Q/tK+1D7VPtW+1n7XPtf+1/7W/tY+1r7Y/ty+377gPt4+2v7Yvtg+2X7avtp+2H7V/tQ+1D7U/tS+0j7Nfse+wn6+vrv+ub63PrS+sn6wvq7+rD6ofqT+or6iPqL+o36i/qF+n/6ffp8+nf6a/pZ+kf6Ovo2+jT6L/om+hn6DvoH+gL5+fns+dv5y/m/+bb5rfmh+ZP5iPmB+X/5gPmA+X/5gPmA+YH5fvl6+Xf5ePl++Yj5kvmZ+Z/5pfmt+bX5ufm2+a75pvml+a35vPnM+dr55fnu+ff6AvoN+hj6Ivot+jf6QfpJ+k76UvpW+l76avp5+oj6lPqd+qX6rvq6+sf61Prf+un68vr++w37Hfsu+z77Tfta+2f7cvt7+4H7hvuL+5L7mfue+6D7oPug+6P7p/uu+7T7uvvB+8n70/vc++T76fvt+/P7/PwG/BD8F/wc/B78IPwj/Cb8Kfws/DH8N/w9/EP8R/xK/E78UfxU/FX8VPxS/E/8TfxN/E38TfxK/Ef8Q/xB/EH8QvxD/EX8RfxF/EP8QPw8/Dr8O/xA/Ej8UPxW/Fn8W/xc/F78Yvxn/G38cvx3/Hz8gvyI/JD8m/yo/LX8wfzL/NX84Pzv/QH9E/0h/Sr9LP0s/S39M/1B/VX9bf2E/Zf9ov2n/af9p/2p/a/9uP3B/cv91/3l/fj+C/4d/ir+M/48/kf+Vv5p/n7+k/6o/r7+1f7s/wL/Gv8x/0r/Yf92/4f/l/+o/73/0//n//b//wAGAA8AHAArADoARwBVAGQAdwCMAKIAuQDQAOkBAQEZATABSAFkAYIBnwG4AcsB1wHiAfACBAIeAjwCXAJ6ApMCqQK8AtEC6wMGAx8DMgNDA1gDcQOIA48DfwNiA1YDegPVBFEExgUVBUIFcQXKBlkHAweVB+cH9QfeB8cHxgfQB88HrwdvByAG1AaXBmkGRgYqBhAF8wXQBacFewVTBTIFGAUABOgE0AS7BKwEoQSWBIkEfQR3BHoEgwSIBIQEeARtBGsEcwR/BIQEfwR1BHAEdQSABIkEhQRxBE8EJAPwA7MDbAMhAtwCpwKEAmsCUAIrAf0BzAGhAXoBUgEgAOIAoABkADkAHgAM//v/5f/M/7P/nf+M/3z/a/9Z/0b/M/8g/w3++/7q/tv+zP67/qn+mP6J/oD+fP56/nj+dv50/nT+df52/nb+dv53/nn+fv6G/pD+nf6v/sb+3f7w/vz/AP7//vv+9P7q/tz+zP6+/rT+r/6t/qz+rv60/sL+1/7s/vz/Bf8I/wn/C/8Q/xb/Hv8m/zD/PP9K/1n/af99/5T/sP/O/+sACAAmAEkAcgCcAMQA5wEGASUBSAFtAZQBuQHbAf0CIAJFAmsCkQK5AuMDEAM9A2cDjQOvA9ED9gQdBEQEaASLBK8E1gUBBS0FVQV3BZQFrgXJBeUGAwYgBj4GXgaABqYGzgb2BxwHQQdkB4YHqQfLB+sICwgpCEcIZgiECJ8ItwjLCN8I9QkPCSwJSQllCX8Jmwm5CdkJ9goLChsKKAo5ClIKcQqOCqYKtAq8CsIKxwrKCsgKvwqyCqYKngqbCpoKmwqcCp4KogqlCqQKnwqWCo0KhwqCCngKZgpKCicKAwnlCdEJxQm9CbQJqAmYCYgJfQl3CXYJdAluCWMJVQlHCTsJMQkmCRoJDgkDCPoI9AjuCOoI6AjnCOwI5QjZCMgIuQixCK4IrAinCKEInAieCKUIrAiuCKsIqQiuCLwIzwjgCO4I/wkYCTkJXQl7CZMJrgnQCfYKEgoSCfUJywmzCcIJ9Qo0CmIKbwpjClMKTQpTCloKVwpICjoKOQpJCmUKfwqSCpwKpAqxCsYK4Qr9CxcLLAs8C0gLVgtrC4kLrAvNC+UL8wv8DAYMFQwpDDwMSwxWDGAMbQx7DIcMjwyVDJoMoQyoDK0MrwywDLIMtAy1DLIMrgysDLQMxAzWDOQM6QzqDOwM9A0BDQ4NFg0cDSINLg0/DVMNaA2CDaYN1Q4KDj0ObA6bDtQPHQ9tD7UP4w/0D/MP+BASEEcQjBDMEPoRFhEoET8RYBGFEaERrBGkEZQRhRF8EXIRXhFBESkRKBFEEW8RihF9EUQQ/BDJEMUQ6REYETQRNBElER0RJRE0ETYRIBD0EMUQpBCYEKAQtxDXEP0RIxFBEVQRXRFoEXwRnBHBEd4R7RHyEfQR9RH0EekRzhGlEXgRUBE3ES8RNhFKEWQRghGeEbcRzhHjEfUR/BHzEdsRuxGcEYURdRFlEU8RNhEdEQwRAhD7EO8Q3RDHELIQnhCNEHkQZBBNEDUQHhAFD+sP0Q+3D54Pgw9jDz0PFA7tDssOrg6TDncOWQ46Dh0OBw36DfgN+w37DfAN1g2wDYkNbw1nDXENiQ2qDdQOCQ5HDocOvQ7fDu4O7g7rDuoO7Q7wDu4O5A7SDrwOpA6PDn0ObQ5ZDjwOFA3nDboNkA1pDT8NDwzbDKsMhwxsDFMMNgwRC+sLzQu4C6cLlQt8C2ELRwszCx0LAgrdCrUKkQp3CmQKUgo8CiAKBQnsCdMJtgmRCWkJQwkmCRAI+QjdCLoIlwh3CFsIQQgiB/4H1wexB40HbAdJByYHBAbjBsIGoQZ+BloGNgYTBfIFzgWpBYIFWwU1BRAE6QTCBJsEcwRLBCID+QPPA6cDgANZAzIDCQLhArsCmAJ1Ak4CIAHvAb4BkgFsAUoBJgEBANwAuQCZAHoAWAAyAAn/3v+1/4z/Y/85/w/+5f6+/pf+b/5E/hf96/3C/Z39ev1V/S79BPza/LT8kfxt/Ej8Hvvy+8j7ovuC+2T7RPsg+vr60/qw+o/6cPpR+i/6C/nn+cL5oPl/+WD5Q/kl+Qf46PjK+K34k/h7+GT4TPgz+Bn3//fm98/3uvem95P3fvdn90z3MPcW9wP29fbs9uL20/a/9qj2k/aF9n/2ffZ89nj2cPZk9lj2TPZB9jn2MvYu9ir2KPYm9iP2H/Ya9hT2D/YJ9gX2A/YE9gf2DPYQ9hP2FfYY9h72JvYs9i/2MPYx9jb2P/ZK9lP2WfZc9l/2ZfZt9nT2e/aD9o72nvax9sL2z/ba9uX29PcJ9x33L/c990n3WPdp93z3jved96v3u/fN9+L39/gL+B/4M/hH+Fr4a/h7+Iv4nfiy+Mf43Pju+P75Dvkf+TH5RPlS+Vf5UvlC+S75HvkZ+SL5NflI+VT5Wvld+WT5cPl++Yj5jPmM+ZD5nvmz+cj50vnO+cP5vfnF+dz5/voi+kP6ZfqK+rT64PsG+yD7Lfsv+yn7G/sC+t36sPqD+mP6VfpX+l/6Zfpk+lz6VfpV+l76bfqA+pH6n/qq+q/6sfqw+q/6sfq3+r/6yPrR+tv66fr++xb7Kvs3+zv7PvtH+1f7avt3+3n7d/t7+5L7vvvz/CP8Rfxd/Hj8oPzT/QP9Iv0t/S39MP05/T79Lfz8/Ln8f/xw/Jj87P1S/a/9+v48/oL+1v8w/4L/vv/d/+T/2//M/7z/qf+P/23/RP8b/vj+4P7U/s/+y/7G/r/+vP68/sD+w/7E/sP+wv7E/sf+x/7F/r/+uv65/rr+vf68/rn+tf6x/q3+qP6h/pz+nv6m/rL+uP6x/pv+e/5X/jX+Ef3j/ab9W/0K/MD8ifxr/GH8Y/xl/F/8UPw7/CX8EvwE+/r78vvq++P73PvX+9P70PvP+9D7z/vM+8X7uPup+5v7kvuM+4f7fvtw+2D7UPtF+z77Ovs2+zL7LPsm+yH7Hfsa+xf7E/sO+wj7BPsC+wT7CvsR+xn7IPsm+yr7LPsr+yj7I/sd+xn7FfsP+wn7A/r/+v77APsD+wP7APr/+wD7B/sQ+xr7Ifsk+yT7Jfsm+yf7KPsq+y/7N/tA+0n7TPtJ+0D7Nfsu+yz7Lfsu+yv7Jvsh+yD7Ifsi+x77E/sE+vX66frh+tn60frG+rv6sPqi+pH6f/pw+mn6a/p1+nz6ffp2+m36Zfpg+lz6UvpD+jH6JPoc+hj6E/oL+gD59/nz+fD56/nh+dP5xPm4+a/5p/md+ZL5iPmA+Xv5ePl1+XL5bvlq+Wb5Yvlf+WH5aPly+X35hPmJ+Y35lfmg+av5sPmt+aX5n/mh+az5u/nL+df54Pnq+fX6AfoK+hH6Fvoc+iT6Lvo3+j76RPpL+lb6Zfp3+of6k/qb+qH6p/qw+rz6yvrZ+ub68vr8+wf7E/sh+y/7PvtN+1z7avt1+3/7iPuR+5v7pvuu+7T7t/u4+7r7vPu/+8P7x/vM+9L72vvh++f76/vv+/P7+fwB/Ar8EfwW/Br8Hfwg/CP8J/wr/C/8NPw7/EH8RvxL/E/8UvxV/Fb8VvxU/FH8T/xP/E/8T/xN/En8RPxA/D38O/w7/Dv8Ovw5/Dn8OPw4/Df8OPw7/EH8SPxP/FT8V/xW/FX8VfxY/F78Zvxt/HP8ePx+/IX8j/yc/Kr8t/zC/Mz81vzk/PT9BP0S/Rr9Hf0c/R39I/0y/Uj9Yf14/Yn9kf2S/ZH9kP2T/Zn9ov2r/bb9wf3Q/eH98v4C/g/+Gv4n/jf+Sf5d/nH+hf6a/rD+yP7h/vr/E/8t/0j/Yf93/4n/mf+o/7r/y//b/+b/7v/2//8ACwAaACkAOABIAFoAbQCBAJUAqwDCANoA8gEJASEBOgFWAXQBjwGkAbIBvgHLAd4B9AIOAigCQQJaAnAChgKcArUC0QLtAwUDFwMmAzcDSgNYA1MDNwMWAxEDSAO/BFkE4wU6BWEFhAXSBl4HDQelB/kIAQfaB68HmQeRB4EHVAcOBsEGhAZiBlYGUgZLBjoGHAXxBbwFgQVJBRkE9QTbBMcEuQSuBKkEowSbBI4EgAR4BHoEggSIBIYEegRuBGgEbQR0BHYEcQRpBGgEcwSEBJEEjQR2BFIEJwP5A8UDiANDAwECzAKmAosCbgJIAhgB5QG5AZUBcgFJARQA2QChAHEATAAvABL/9v/a/8H/rP+a/4j/d/9m/1b/R/84/yf/Ff8C/vD+3/7O/r7+sP6m/p/+m/6Y/pP+jf6H/oT+gv6B/n/+ff59/oH+h/6P/pn+pv65/tL+7v8I/xv/J/8q/yj/Iv8X/wj++f7s/uT+4P7f/t/+4f7o/vf/C/8h/zD/N/83/zT/M/82/z7/SP9V/2P/cv+B/5H/ov+4/9H/7QAKACUAPwBbAHsAngDCAOMBAAEbATgBWwGCAawB0gH1AhUCMwJTAnQCmALAAu0DHwNRA38DpwPJA+oECwQuBFIEdASVBLkE4AUMBTkFZAWIBagFxQXgBf0GGQY0Bk8GagaIBqsG0Ab3Bx4HQQdiB4EHoAe/B90H+AgTCC0ISwhpCIgIowi5CM8I5wkECSUJRQlhCXkJkAmsCcwJ7AoHChsKKgo7ClEKagqCCpMKngqkCqwKtQq8CrsKsgqkCpkKlgqeCq0KvwrQCtwK5ArlCuAK1grICrgKpQqOCnIKUQouCg4J9wnoCeAJ3AnWCc0JwQmzCaUJmQmRCYkJgAl0CWYJWAlMCUEJNgkpCRoJCwkACPoI9QjyCPAI7gjuCPYI8QjoCN0I1QjRCM8IywjCCLYIrQitCLQIuwi7CLQIrQiuCLoIzgjhCPMJBQkcCTkJUwlmCXEJfgmXCbsJ2wnlCdMJtQmpCcMKBApSCo8KpgqdCocKeApzCnIKaApWCkQKQQpRCm4KjQqmCrcKxQrVCukLAQsYCywLPQtKC1ULYwt3C5ELrgvIC9oL5gvwDAAMFwwyDEoMWgxlDG0MeAyFDJEMmgydDJ8MoQyjDKQMpQyoDK8MuAzADMIMvwy8DL4MxwzWDOQM7wz1DPwNBg0SDRwNIg0oDS8NPA1ODWUNgg2pDdoOEQ5GDnMOmg7GDwIPUA+fD9oP8g/tD+IP7xAiEHEQwhD7ERMRFREWESgRTBF1EZERlhGGEXARXxFYEVMRSBEzERsRDBEKERAREBD9EN0QvRCwEL4Q3RD7EQoRCxEKERIRJRE3ETsRKxELEOcQyhC8EL4QzxDsEQ8RLhE/EUIRPxFEEVkRexGgEbsRyRHQEdcR4BHkEd0RxRGjEYARYxFPEUMRPxFEEVMRZxF6EYURiBGGEYERexFxEWERThE9ETMRMRExES8RJxEeERYRDxEHEPkQ5RDNELYQoxCTEIIQbhBXED4QJRAMD/MP2w/ED6wPkQ9xD0sPJA7/Dt8OxA6rDpAOcQ5QDjQOIA4YDhsOIA4hDhQN+A3TDa4NlA2JDZANpg3MDgEOQg6LDs8PAw8hDysPKQ8lDyYPKw8yDzcPNg8uDx4PCA7vDtcOwQ6rDo8Oag4+Dg0N3A2pDXINNgz6DMcMowyLDHUMWgw2DA8L7gvVC8ILrQuTC3cLXQtICzMLFwr0Cs0KrAqTCoIKcQpbCkAKJAoLCfEJ0gmtCYYJYwlJCTUJHwkCCN4ItwiVCHcIWwg7CBYH8AfLB6gHhwdlB0EHHAb5BtcGtgaTBm4GSgYoBgcF5gXCBZwFdgVRBS0FCATgBLYEiwRgBDgEEgPsA8UDnQN1A0sDIwL8AtcCtAKRAmkCPgIPAeEBtgGPAWsBSAEmAQMA4gDBAJ8AfABWADAACf/j/7v/kv9o/z3/FP7r/sL+lf5n/jn+D/3s/cz9q/2H/V39MP0F/N/8vfyd/Hn8T/wj+/n70/uz+5X7c/tM+yL6+frV+rX6mPp5+lb6MPoL+ej5yPmq+Y35b/lR+TL5Ffj4+N34wvin+I34dPhb+EL4KPgO9/T33PfF97H3nPeG9233U/c89yr3HfcT9wf29vbi9s32uvat9qX2oPac9pT2ivZ+9nL2aPZf9lj2UfZK9kT2QPY89jn2NPYu9ib2H/YZ9hb2FvYZ9h72I/Yo9ir2K/Yt9i/2NPY69j72QPZB9kP2SvZU9l/2Z/Zs9m72cfZ19n32hvaT9qH2sfbB9tD23fbo9vX3BPcV9yj3OfdI91b3Zfd194b3l/en97j3yffb9+33//gR+CX4OfhO+GH4cfiA+JD4ofiz+Mb42fjr+P35D/ki+TX5R/lV+Vz5VvlG+S/5G/kS+Rj5Kvk9+Uv5UflU+Vn5Zfl0+X/5g/mE+Yn5l/mu+cL5zfnK+cH5uvnB+dX58/oS+jH6UPpy+pr6wvrl+v/7D/sX+xj7Efr/+t76s/qG+mP6UfpO+lP6VvpT+kv6Qvo/+kb6VPpm+nb6gfqE+oL6fPp3+nb6e/qE+o/6mfqi+q36vvrX+vH7BPsM+wr7BvsK+xf7Kfs4+0D7SPtd+4X7vPvw/BP8I/ws/EL8bfyj/NP87fzz/PT8/v0P/RT89/y2/GX8Kfwg/FH8pv0D/Vb9n/3s/kf+rP8K/0z/a/9r/1n/Qf8p/xL+/P7n/tP+wP6s/pn+hv53/m3+af5p/mr+bf5w/nP+dv53/nj+ef57/n3+f/5+/nz+ev56/nv+e/56/nr+fP5//oP+g/5//nv+f/6N/qH+s/63/qn+jv5t/kz+Jv3z/az9UPzr/JD8TPwm/Bj8FfwS/Ab78/vd+8j7uPut+6P7mvuS+4v7h/uF+4P7gft8+3f7cvtt+2j7YftY+0/7R/tB+z37Ofsx+yX7GPsM+wT7APr++vz69/ry+uz66Prm+uT64fre+tn61PrQ+s/60PrV+tz65Pru+vb6+/r/+v/6/vr7+vb67/rm+tz61PrQ+s/6zvrN+sv6x/rG+sj6zvrX+uD65vro+uj65vrn+uv68vr7+wP7C/sS+xj7HPsc+xn7EfsJ+wL7APsA+wD6/vr6+vX68vrw+u365vrc+tP6zfrL+sv6yfrE+rv6rvqe+ov6d/pn+mH6ZPpu+nX6dPpo+lb6R/o8+jb6L/ol+hn6DvoI+gX6Afn6+fD55/ng+dz52PnQ+cX5uPms+aP5nPmV+Y/5iPmB+Xr5dPlt+Wf5Yflb+VX5T/lM+U/5Vvlh+Wn5bflu+XL5e/mK+Zj5ofmh+Z35mvme+an5t/nD+c752Pnm+fX6BPoP+hT6FfoW+hr6Ifoo+i/6Nvo/+kz6Xfpv+oD6jfqX+p76pfqv+r36zvrf+u/6/PsG+w37Ffse+yn7NftD+0/7W/tl+3D7e/uH+5X7pPuy+737xfvJ+8z7zvvS+9b72vve++L75vvs+/H79fv5+/v7/vwC/Aj8DvwU/Bn8HPwf/CP8J/wr/DD8Nfw7/ED8RvxL/FD8VPxX/Fn8WPxV/FH8TvxM/E38TvxO/Ez8SPxC/D38OPwz/C/8LPwq/Cv8Lvwx/DP8NPw2/Dn8P/xI/FD8VPxU/FH8T/xQ/Fb8Xfxl/Gv8b/xz/Hn8gvyN/Jr8p/yy/L38x/zT/OH88Pz9/Qf9DP0N/Q/9Fv0k/Tj9UP1m/XX9fP19/Xv9e/19/YL9if2S/Z39q/27/cz93P3r/fn+Cf4a/i7+Q/5W/mj+ev6O/qX+v/7a/vX/EP8r/0b/X/91/4b/lP+h/67/u//H/9D/2P/h/+v/9wAFABYAKAA7AE8AYQByAIQAmACwAMkA4QD3AQwBJAE/AVsBdAGHAZUBogG0AcoB4gH5Ag4CIwI5AlECawKGAqACvALXAu4C/wMMAxgDIwMnAxsC/wLmAvEDPQPLBHkFEgVuBZAFoAXTBkAG1gdjB7sH0wfBB6UHkgd/B1oHGAbFBnkGSwZABkkGUwZRBj4GHgX0Bb8FgQU+BQAEzgStBJwElwSaBJ4EnwSaBI0EgAR5BHwEhASLBIgEfQRwBGkEagRuBG4EZgReBF0EZwR4BIMEfARjBEAEGwP4A9EDoQNnAykC8wLJAqkCiAJeAisB9wHJAaQBhgFlAT0BDgDdAK8AhgBfADsAGf/8/+P/z/+8/6j/lP+C/3L/ZP9W/0T/MP8b/wf+9f7m/tr+0v7M/sn+xv7B/rn+r/6n/qD+nP6Y/pT+kf6R/pT+mv6i/qz+uP7L/uT/Av8f/zf/SP9R/1P/UP9I/zz/Lv8i/xv/GP8a/x3/I/8u/z3/UP9i/27/c/9x/23/a/9u/3b/gv+Q/5//r//A/9H/5P/5ABIALQBJAGQAfQCYALMAzwDrAQQBHAE1AVMBdwGeAcYB7AIOAi4CTgJuAo8CsgLaAwYDNwNpA5cDwAPjBAQEJQRGBGgEiQSpBMoE7gUXBUQFcAWZBb0F3AX3BhAGKAY/BlcGcAaMBq0G0Ab2BxoHOwdaB3cHlQezB9AH6wgDCBwINwhXCHcIlgiwCMcI3wj9CR8JQQleCXYJiwmjCb8J3Qn4Cg0KHwovCkEKVApkCm0Kcgp4CoQKlAqjCqsKqQqjCp8KpAq0CswK5gr8CwoLDgsICvkK5QrOCrcKnQqBCmAKPwojCg8KBAoACf0J+AnvCeIJ1AnGCbgJqwmeCZAJgQlwCV8JUQlGCTwJMgkmCRkJDgkHCQQJAgkACP0I+gj4CQkJBAj8CPEI6AjiCN0I1gjKCL0ItAi0CLoIwQjCCL4IuwjBCNAI5Aj2CQMJEAkjCTkJTQlXCVoJYgl7CaYJ0wnrCeMJxwmzCcAJ9Ao8CnoKlgqRCnsKaQpiCmEKWgpOCkEKPwpPCm0KjwquCsUK1wroCvkLDAsgCzMLRgtXC2cLdguGC5gLqwu8C8oL1gvkC/sMGQw6DFcMbAx4DIEMigyUDJ4MpAynDKcMpQykDKIMogynDLEMwAzODNgM2wzZDNcM2gzhDOoM9A0ADQ0NHA0oDTANNg07DUUNVQ1qDYQNpA3QDgUOPw50DqAOxg71DzQPfQ++D98P3A/DD7gP2BAnEI4Q6BEZER0RCxEAEQ4RMhFaEXMRdBFhEUkRNhEsEScRIREXEQsQ/xDzEOUQ1BC/EK8QqxC3EM0Q5RD3EQERCBESESERLxE1ETARIhEREQEQ8xDnEN8Q4hDyEQwRJBEvES0RJxErEUARYhGFEZ4RrBG1EcARzBHREckRsxGXEX8RbxFlEV4RWBFXEV8RbxGAEYgRhRF7EXERaRFjEVoRTRE+ETIRLBEqESoRKBEkER4RFxEMEP0Q6BDSEL0QqxCcEIsQdxBfEEQQKRAPD/cP4Q/MD7UPmw97D1cPMg8QDvIO2g7CDqoOjg5yDlkORw49DjoOOA4zDiYODw3yDdMNuQ2oDaYNtw3gDh4ObA69DwIPMQ9KD1IPUw9VD1oPYg9pD28PcQ9tD18PRg8oDwoO8A7bDsMOog52DkIOCQ3NDY4NTQ0PDNsMtgyfDIwMdQxXDDUMFgv+C+kL0Qu0C5MLdQtcC0ULKwsLCugKyQqyCp8KjAp1ClsKQAomCg0J7gnKCaUJgwlpCVUJPwkiCP8I2gi2CJYIdAhQCCgIAQfdB70Hngd9B1gHMwcQBu8GzgarBoYGYAY9Bh0F/QXcBbgFkgVuBUoFJgT+BNMEpgR7BFIELQQHA+ADuAOOA2UDPgMYAvMCzgKoAoACVgIsAgEB2AGxAYwBaQFIASkBCQDoAMQAngB3AFIALQAI/+H/t/+N/2L/Of8Q/uT+tv6H/lr+NP4U/ff91/2w/YP9VP0n/QH83/y//Jv8cvxI/CH7/vve+777mvtx+0X7HPr4+tr6vfqe+nv6Vvoy+hH58/nY+br5m/l6+Vr5Pfki+Qn47vjS+LX4mviA+Gn4Ufg4+B74Bfft99f3wfer95P3fPdn91b3SPc89y33HPcJ9vf25/ba9tD2x/a99rH2pPaX9oz2hPZ99nb2bvZm9l72WPZV9lP2UPZK9kH2OPYy9i72LvYw9jT2OfY89j72P/Y+9j72QfZF9kv2T/ZS9lT2V/Zf9mr2dfZ99oH2gvaE9on2lPai9rP2w/bS9t/27Pb59wf3Fvcl9zT3Q/dR92H3cPd/9473nfeu98H31Pfl9/X4BPgV+Cf4O/hQ+GL4c/iE+JX4p/i5+Mn42Pjo+Pn5DPkf+TL5RPlS+Vr5V/lH+S75FvkH+Qn5Gfku+T75R/lL+VL5Xvlt+Xf5efl5+X35jfml+bz5yPnF+bj5rvmw+cD52vn4+hX6MfpQ+nP6lvq1+s363vrq+vH68frn+tH6r/qI+mT6S/o/+jv6Ovo4+jX6Mvoz+jv6R/pU+l76Yvpf+lf6TfpG+kX6SvpV+mD6avpz+n76j/qm+r760frY+tf61PrY+uX69/sI+xb7KvtK+3r7sPvd+/b8APwL/Cb8VfyI/K/8v/zC/Mf82Pzo/N/8q/xV+//70/vo/DX8m/z6/Uj9jv3d/jz+m/7m/wz/D/78/uL+yv6y/pn+gP5t/mH+XP5U/kb+MP4c/hD+EP4X/iD+Jf4m/ib+KP4s/jD+M/41/jf+OP45/jr+Of42/jH+Kv4k/iT+Kv42/kP+Sv5L/kn+TP5b/nT+jf6a/pb+g/5n/kj+Iv3r/Zv9M/zC/Fz8Evvn+9T7y/vA+677lvuB+3L7aPth+1n7TvtD+zr7Nfs1+zX7Mvsp+x77FPsN+wv7CvsI+wP6/Pr2+vH67vrp+uL62PrP+sf6xPrC+sH6wPq8+rn6t/q1+rT6sfqt+qj6pfqi+qH6oPqi+qX6q/qz+rr6wfrG+sv6z/rS+tH6y/rB+rX6qvqh+pz6mPqW+pT6lPqW+pj6mvqc+p76oPqi+qT6p/qr+rH6vPrI+tL62frd+uD65vrs+vD67/rp+uL63frd+t763vrc+tf60frN+sf6vvq0+qr6pfqm+qz6s/q3+rX6sfqp+p/6k/qH+n76evp4+nX6avpX+kD6LPoe+hf6E/oN+gX5/fn3+fX59Pnv+eb53PnS+cv5xfm/+bb5q/mf+ZX5jvmJ+Yb5g/l/+Xn5cflo+V/5WflS+Uz5RvlD+UP5SPlQ+VX5V/lW+Vn5Yvlw+X/5ivmN+Y35jvmU+Z/5q/m2+cD5zPnb+e35/voK+hH6FPoX+hv6Ifom+ir6MPo4+kX6Vfpm+nf6hfqS+p76qvq4+sj62vrs+vz7CPsR+xj7Hvsm+zD7O/tF+077Vvtd+2X7bvt6+4j7mPuo+7b7wfvI+8370vvX+9775fvq++778vv3+/38BPwK/A38D/wR/BT8Gfwe/CL8JPwl/Cb8Kfwt/DH8Nvw7/D/8RfxL/FH8VfxY/Fn8V/xT/E78SfxH/Ef8SPxK/En8RvxB/Dz8Nvww/Cr8JPwh/CL8Jfwq/C78MPww/DL8N/w//Ef8S/xM/Ev8SvxM/FH8WPxe/GL8Zfxo/G38dPx9/If8kvyd/Kj8tPzA/M382/zp/PT8/f0C/Qb9Df0Z/Sr9Pf1Q/V39ZP1m/Wb9Z/1o/Wv9cf16/Yf9mf2s/b79zv3d/ez9/v4T/ij+PP5O/l7+cP6F/p3+uf7U/vD/C/8n/0D/V/9r/3r/h/+S/5z/pf+t/7X/v//K/9f/5P/0AAUAGgAwAEUAVwBnAHYAigCiALwA0wDmAPgBDAElAUEBWQFsAXsBiwGfAbcBzgHiAfQCBgIfAjwCWwJ2Ao8CpgK+AtQC5gLyAvcC+ALzAuYC1gLUAvoDXgP7BLAFSAWfBbQFrQW8Bf4GagbbBywHUgdbB1wHXAdRByoG5AaRBk0GLQYtBjoGPgYvBhIF8AXMBaMFbQUqBOQEpwSABHAEcwSABI0EkwSPBIUEewR2BHkEggSIBIcEfQRwBGkEaARqBGgEYARWBFMEWwRnBG8EZwRQBDAEEAP1A9kDtgOHA1ADHALvAsgCoQJzAj8CCwHeAbsBnwGDAWMBPQEUAOsAwgCaAHQAUQA0AB0ACf/1/9//yP+w/5z/iv93/2T/T/86/yj/Gf8N/wX+//76/vf+8/7s/uL+1/7N/sT+vv65/rX+sv6y/rX+uv7B/sn+1/7q/wP/IP88/1L/Yv9s/3H/c/9x/2v/Yv9Z/1T/U/9Y/2H/bP95/4f/lf+h/6j/qv+q/6r/rf+z/7z/x//T/+H/8QADABUAKAA8AFIAaQCCAJwAtgDQAOoBAQEXAS0BRAFgAYABpAHLAfACFAI3AlkCfAKeAr8C4QMFAy0DWQOFA68D1AP1BBQENARXBHoEnAS9BNwE/gUjBU0FeQWlBcsF6wYDBhcGKgY/BlcGcwaRBrIG1Ab3BxkHOAdVB3EHjweuB84H7AgGCB4INwhUCHMIkQiqCMAI1AjtCQsJKwlLCWYJfgmUCasJwgnYCesJ/AoNCh8KMAo8CkQKSwpWCmcKfgqVCqcKsQq2CrwKxgrVCugK+gsJCxELEAsFCvEK2Aq9CqUKjwp5CmMKTgo8CjEKKgokChoKDAn5CecJ1QnFCbcJqAmaCYwJfglxCWQJWQlPCUYJPQkzCSoJIwkeCR0JGwkYCRQJDwkMCRwJFQkLCP0I8QjnCOEI2wjUCMsIxQjECMcIzAjPCNEI1wjkCPUJBwkTCRwJJwk5CU8JYQlpCWoJdAmVCcwKBAokChsJ8wnJCbsJ1goLCj0KVApNCjkKKQopCjQKPgpACj8KQwpUCnMKmAq7CtcK6gr4CwILDAsbCy8LRwtgC3YLhwuTC5wLpQuwC7wLywveC/kMGgw+DGAMeQyJDJIMmAyeDKQMqQysDK4MrQysDKoMqgyuDLcMxgzXDOYM8Qz3DPkM+Az1DPUM+g0GDRgNLA07DUQNSA1QDWANdw2SDawNyA3rDhkOTw6IDr0O8Q8oD2QPnA+/D78Pow+GD4oPwxAqEJwQ8BEQEQMQ5xDaEOkRDBEwEUQRQxE1ESMRExEGEPsQ8xDvEPAQ7xDpENkQwxCvEKcQsBDDENkQ6xD4EQQRFREqETsRQRE5ESkRGxEUERIRDREAEO8Q5hDsEQERGBEmEScRIhEkETQRUBFsEYIRjxGaEaYRsxG4EbARnRGIEXkRcxFxEW0RZxFkEWoReRGLEZcRmRGREYgRgBF5EXERZBFVEUYRPRE4ETYRMhErESERFhEIEPgQ5hDTEMIQshCjEJEQfBBiEEYQKhAQD/gP4w/OD7cPnA9+D10PPQ8gDwYO7w7ZDsMOrQ6YDocOeA5rDl4OTw4/Di4OGw4IDfMN3w3PDcsN2w4EDkMOkA7bDxcPPQ9SD2APbQ99D4sPlg+bD50PnQ+XD4gPbg9NDysPEA76DuIOvg6NDlAODw3RDZQNWw0lDPYM0Qy3DKEMigxuDFAMNgwhDA4L9wvZC7cLlQt4C14LRQspCwsK7wrXCsIKrQqVCnoKXgpECioKDAnpCcQJogmFCWwJUwk2CRYI9AjTCLIIjghmCDwIEwfwB9AHsQePB2sHRwcmBwgG6gbJBqMGfAZXBjYGFgX1BdEFqwWFBWAFPAUWBO4ExASaBHEESQQiA/kDzwOmA34DWQM1AxAC6gLCApkCcAJIAh8B9wHQAaoBhgFmAUgBKQEIAOQAvgCXAHEATAAm//3/0/+o/33/U/8o/vz+zv6i/nr+WP45/hv9+P3P/aL9dP1J/SP9APzd/Lf8j/xo/EP8IfwA+977ufuQ+2f7Qfsg+wH64/rC+p/6evpY+jr6H/oF+ej5x/mk+YH5YvlG+S35E/j2+Nf4uvih+Ir4dfhf+Ef4L/gY+AH36/fU9733p/eT94L3dPdl91X3Qvcw9x/3EfcF9vn27fbe9s/2v/ax9qb2nvaY9pH2ifaA9nj2c/Zx9nL2cfZr9mL2WPZP9kn2R/ZH9kf2SPZK9kv2TPZM9kz2TvZT9lv2Y/Zo9mv2bPZv9nf2gfaM9pP2l/aY9pz2pfay9sL20Pbc9uj29fcE9xX3Jfcz90H3Tvdd9233fPeL95n3pve298j32/fs9/v4CfgY+Cn4O/hO+GD4cfiE+Jj4rPi++M742/jo+Pf5B/kX+Sf5NvlF+VD5UvlG+S/5E/kB+P75C/kg+TL5PPlD+Uz5Wvlq+XX5efl3+Xv5ifmh+bn5xfnB+bL5ovme+an5wPnb+fT6DPoi+jv6Vfpu+oX6mPqn+rP6uvq6+rL6oPqI+mz6Ufo6+ir6IPoc+h36Ivop+jD6Nvo6+jv6Ovo1+i/6J/oh+iD6JPou+jn6Q/pM+lT6Yfpy+oX6lvqh+qb6rPq2+sf62/ru+wD7Fvs1+1/7i/uw+8n73Pv1/Bv8SPxx/Ir8lfye/K/8xPzG/J78R/vd+5D7h/vM/EH8u/0b/V79m/3k/jv+jP6+/sf+s/6W/n/+b/5g/kn+MP4b/hD+DP4D/fD91/3D/b39yP3Y/eX95/3k/eH95P3t/fb9+v36/fj9+f38/f79/f31/ej92f3P/c391v3n/fn+BP4H/gT+Bf4R/in+RP5V/lb+Sf4z/hb98P22/WD88fx6/BD7xfub+4j7fftu+1j7P/sr+yD7HPsY+xD7BPr2+uv65frk+uT64PrW+sj6u/qz+rH6s/q1+rP6rvqp+qT6ovqg+pv6lPqN+oj6hfqF+ob6hvqF+oX6hfqE+oL6ffp4+nX6dfp2+nj6ePp4+nn6e/p/+oT6iPqL+pD6lvqd+qH6ofqb+pD6hPp4+m36ZPpe+l36X/pj+mX6Yvpd+ln6Wfpe+mX6bPpy+nr6hPqP+pr6ovqm+qn6r/q4+sH6xfrE+r/6u/q6+rz6v/rA+r76u/q2+q/6pPqV+of6fvp8+oD6h/qO+pT6m/ql+q76s/qx+qb6lvqD+m76WfpC+iz6G/oQ+gr6B/oC+fr58fnr+ef55Png+df5zPnB+bj5svmt+af5n/mV+Yv5g/l9+Xv5evl4+XT5bvlm+V/5WflV+U/5SPlC+UD5QflF+Uj5SflI+Ur5UPlb+Wf5b/lz+XT5ePmA+Yv5l/mh+av5tvnF+dX55vn0+f/6CPoR+hv6I/op+iz6MPo3+kL6Ufpg+m/6fvqN+p36rvrA+tH64/rz+wP7D/sZ+yH7Kfsy+z37SPtS+1n7X/tk+2r7cft6+4P7jvua+6b7sPu4+7/7xfvN+9b74Pvo++778/v6/AP8DfwW/Bz8IPwi/Cb8Kvwu/DD8L/wu/C38Lvwx/DX8N/w6/D78Q/xK/FH8VvxY/Fj8VfxR/Ez8SPxE/EP8QvxB/ED8Pfw5/DX8Mfws/Cf8Ifwd/Bz8Hvwi/CX8KPwp/Cv8Lvwz/Df8O/w8/D78QfxG/Ez8UvxV/Ff8WPxb/GD8Zfxs/HL8evyE/I/8nfyr/Ln8yPzY/Of88/z8/QT9C/0W/ST9M/1B/Uz9U/1W/Vj9Wv1b/V39Y/1t/X39kf2l/bj9x/3U/eP99f4J/h7+Mf5C/lP+Zv58/pX+sP7L/ub/Af8b/zP/SP9Z/2j/df9//4j/jv+U/5z/p/+2/8b/1v/n//oAEQAqAEEAUwBhAHAAhACcALUAyQDYAOUA9wEPASsBRAFYAWcBdwGMAaQBuwHNAd4B8gINAi4CTgJnAnoCjAKiArsC0ALaAtcCywK9ArECsgLOAxUDlARBBPcFiQXVBdwFwgW0BdEGFAZhBpwGvAbMBt8G9QcBBu8GvAZ4Bj4GIQYdBh4GEgXyBcoFpQWIBWoFQAUGBMMEiARlBFwEZwR6BIkEjgSJBH4EcwRuBHAEeAR/BIAEegRyBGwEawRsBGkEYQRXBFEEVARdBGMEXwRMBDEEFQP9A+cDzQOpA30DTAMdAvECxQKWAmYCOAIQAfEB1wG8AZwBdwFQASgBAQDaALMAjwBvAFYAQAAsABb//f/k/8z/tf+h/4z/ef9p/1z/Uv9L/0T/PP80/yz/I/8Z/w7/Af72/uz+5f7h/uD+3/7g/uH+4/7n/u/+/f8S/y3/SP9f/3D/e/+B/4b/i/+P/5H/kf+P/4//k/+c/6n/uf/H/9P/2//g/+L/4//m/+v/8//8AAYAEAAbACkAOQBMAGAAcwCGAJcAqgC+ANQA7QEHAR8BNgFMAWMBfQGbAb0B4AIDAiUCRwJqAowCrgLNAuoDCAMoA00DdgOfA8UD5gQDBB8EPQRdBIEEpQTIBOkFCQUrBU8FeAWiBckF6QYBBhQGJQY7BlYGdgaXBrgG2Ab4BxgHNgdTB24HiweqB8sH6wgHCCEIOAhRCGsIhgidCK8IwAjTCOsJCQkqCUoJZwl/CZQJpgm2CccJ2AnrCf4KEAogCi4KPgpRCmgKgQqYCqwKuwrICtQK4ArqCvEK+Ar+CwILAgr5CugK0Aq3CqEKkAqCCnQKaApdClIKRwo4CiMKCwnzCd4JzQm9Ca4JoAmTCYsJhgmBCXsJcwlpCV8JVQlNCUUJPwk7CTgJNQkwCSoJJQkgCSYJIAkWCQoI/Qj0CO8I7QjrCOgI5AjgCOAI4wjpCPEI/QkMCRwJKQkzCT8JUQloCX4JigmKCYgJkwm4CfQKLQpGCjEJ+Am9CaIJsgneCgkKGQoOCfkJ7wn8ChkKOApMClYKXgpwCo8KtgrdCvsLDAsSCxILEgsaCywLRgtlC34LjwuYC50LowutC7wLzQviC/sMGgw+DGEMfwySDJwMoAyiDKYMqwyxDLYMuQy6DLoMugy+DMQMzQzaDOsM/Q0ODRkNGg0SDQcNBA0NDSINOg1LDVQNWQ1lDX8Now3FDd4N7w4ADh4OTw6ODtUPGQ9WD4cPow+kD4sPaQ9cD3wP0BBAEKcQ4hDoEMsQrhCoEL0Q4BD+EQsRCxEFEP4Q9hDrEN0Q0hDPENYQ3xDfENEQvBCqEKYQsxDIEN0Q6xD2EQYRHhE4EUsRThFCETERKBEoESwRKBEXEP8Q7hDuEQARGBEqES4RKhEpETMRRhFbEWwReBGDEZARnBGhEZwRjhF/EXYRdRF3EXcRcxFwEXQRgBGQEZwRoBGaEZARhRF7EXARZBFYEU8RSRFFEUEROhEuER8RDhD+EO4Q4BDSEMUQtxCnEJUQfRBjEEYQKhAQD/gP4g/MD7MPmA98D2APRw8vDxkPAw7sDtYOww63Dq8OqA6dDosOcw5YDj4OKg4dDhMODA4IDg0OIA5FDnoOtQ7pDxAPKQ8/D1gPeA+aD7UPww/FD8EPvA+1D6cPjw9vD04PMA8UDvQOxQ6HDkEN/A3CDZMNaw1FDSAM/gzgDMUMqQyLDG0MUgw9DCwMGAv/C+ALvwugC4QLagtOCzMLGAsBCusK1Qq8CqAKggplCkcKKAoGCeIJvwmfCYEJYwlDCSMJAwjkCMUIogh7CFIIKggGB+QHxAehB3wHWQc6Bx4HAgbiBr4GlwZxBk4GLQYLBeYFvwWXBXAFTAUnBQME3AS1BIwEZAQ6BBAD5gO9A5cDdANRAy4DCQLhArgCjgJmAj4CFgHvAckBpQGDAWMBQwEiAP8A2wC1AJAAagBDABr/7//E/5j/a/8//xL+5/7A/p3+fv5e/jv+FP3p/b39lP1v/Uv9Jvz//Nf8sPyK/Gf8RPwh+/z71vux+477bPtM+yz7C/rn+sL6nfp8+mD6Rvou+hL58fnN+an5iPlr+VD5NfkY+Pn43fjD+Kz4l/iC+Gv4Vfg/+Cn4FPf89+T3zfe696r3m/eL93n3ZPdQ90D3M/co9x33D/b/9u723fbP9sP2u/a09q32pvad9pb2kvaR9pL2kfaL9oD2c/Zp9mL2X/Zd9lv2WPZX9lj2W/Zd9l72YPZl9m32d/Z/9oL2gvaB9oT2jPaY9qL2qfas9rD2t/bC9s/22/bl9u/2+/cK9xz3Lvc+9033W/dr93z3jPeb96j3tPfC99L34/fz+AH4D/ge+C/4P/hP+F34bfh/+JT4qvi9+M342/jp+Pj5BvkT+R/5K/k5+Ub5TflF+TD5E/j++Pj5A/kY+Sv5N/k++Uj5WPls+Xv5gvmB+YL5jPmf+bX5wvm/+a/5nPmS+Zb5p/m++dP54vnu+fn6B/oZ+i36Q/pW+mf6dPp++of6jPqL+oH6bPpQ+jH6F/oI+gX6C/oU+hr6GfoV+g76CvoJ+gr6CvoJ+gj6C/oS+hz6Jvot+jL6N/pB+k76Xvpt+nr6ifqb+rH6yPre+vH7Bfsd+zv7XPt9+537vfvg/Af8KvxE/FT8Zfx+/J/8tPyf/FP73/tx+0D7aPvc/G385/0z/V79iv3L/h7+Z/6L/oH+Xf44/iH+F/4N/fv95P3Q/cT9vf2w/Zr9g/13/X39kv2o/bL9r/2n/aT9rP27/cf9yv3H/cT9xf3K/c/9y/2+/ar9lv2I/Yb9jv2e/a39tP2y/av9qP2w/cT93P3t/fD95v3T/bn9lP1a/QT8lfwf+7n7cftK+zn7Lvsd+wX67PrY+s36yPrE+r36svqm+pv6lvqU+pP6j/qG+nn6bPpi+l76Xfpd+lz6WvpY+lj6WPpY+lb6UvpM+kn6SfpK+kz6TPpN+k76T/pP+kz6R/pC+j/6QfpG+kr6TPpN+k76UfpV+lj6WfpX+lb6WPpc+mL6Z/po+mX6XvpT+kb6N/or+iT6I/om+if6Jfog+h36Hvol+i76Nfo5+j36RfpQ+l/6a/pz+nj6ffqE+oz6kfqT+pH6kPqR+pX6mvqf+qH6o/qi+p36kvqE+nP6Zvpd+lj6VfpU+lf6Yvp3+pH6p/qw+qj6kfp0+lf6P/or+h36EvoL+gb6Afn7+fL56Pnf+dn50vnL+cH5tfmp+aD5mvmX+ZT5kPmK+YL5evl0+XD5b/lt+Wv5Z/lk+WL5Yflf+Vz5VflN+Ub5Q/lC+UP5Q/lD+UP5R/lN+VT5Wvld+V/5Y/lr+XT5ffmF+Y75mfmn+bb5xfnT+eH58PoA+hD6HPol+in6Lfo0+kD6Tfpb+mn6d/qG+pj6rPq/+tH64vrz+wT7E/sg+yr7NPs++0n7U/td+2b7bft0+3v7gPuF+4j7jPuS+5n7ofuo+677tfu9+8f70vvc++T76/vz+/38CPwT/Bz8Ivwo/C78M/w3/Dj8N/w1/DT8Nvw5/Dz8Pfw+/ED8RPxL/FL8VvxX/FX8U/xQ/E38SvxH/EL8Pfw5/Db8Mvwv/Cz8Kvwm/CL8Hvwa/Bf8FvwX/Bn8Gvwb/B38H/wh/CP8Jfwo/C38NPw8/EP8R/xI/Ef8SPxM/FH8V/xc/GD8Zfxt/Hj8hfyU/KT8tfzH/Nn86fz3/QL9Df0Z/Sb9NP0//Un9T/1U/Vf9Wf1a/Vz9YP1q/Xr9jf2h/bH9vf3I/dX95v36/g3+IP4y/kX+Wf5w/oj+of66/tT+7/8J/yD/NP9E/1T/Yv9v/3j/fv+D/4v/l/+n/7n/yv/b/+8ABwAhADoATQBdAGwAfwCWAK0AvgDKANUA5wEAARwBNgFIAVYBZgF8AZUBrQHAAdIB6AIEAiUCQgJXAmYCdgKNAqgCvQLDArcCnwKIAn4CjQLAAyMDugR1BTEFwgYKBgoF5wXMBdcGBQY5BlkGYAZhBm8Gkga2BsQGrgZ7BkMGGwYFBfQF2QWwBYMFXQVCBSoFCATYBKMEdwRjBGcEeQSMBJcElQSKBHsEbQRlBGQEaQRwBHYEeQR4BHcEeAR5BHcEbgRiBFcEVARYBF0EXARRBDsEIwQNA/sD6APPA60DgwNWAygC/ALSAqoChwJqAlACNQIWAfEBxwGcAXIBSQEfAPIAxQCbAHgAWgBCAC0AGAAE//D/3v/M/7v/q/+f/5f/kf+N/4f/fv90/2j/XP9Q/0P/Nv8o/x3/Fv8T/xP/Ff8W/xb/Ff8W/xz/Kv8//1n/cv+G/5P/m/+e/6P/qv+z/73/xf/N/9X/3//s//sACwAYACEAJQAlACUAJQApADAAOQBDAE0AWABlAHMAhQCXAKsAvQDPAN8A8AECARYBLAFDAVoBcQGJAaQBwQHhAgECIAI9AloCdwKVArECywLhAvYDDQMrA1EDfAOoA9ED9AQSBC0ERwRjBIIEpATIBOoFCgUnBUQFZAWIBa4F0QXuBgUGGwYzBlEGcgaTBrIGzwbuBw4HLgdMB2cHgAeZB7UH1AfyCA4IJwg+CFUIbAiDCJgIqwi/CNcI9AkUCTUJUwlsCYAJkQmhCbIJxQnZCe0KAAoUCikKQQpbCnUKiwqcCqgKtQrCCtAK3ArkCugK7ArxCvgK/gr8CvEK3grICrMKoQqRCoIKcwplClcKRwoyChkKAAnpCdgJywnACbMJpwmeCZkJmQmZCZYJjQmBCXUJawljCVwJVwlSCU4JSAlCCToJMgksCS0JKQkkCR0JFAkMCQcJBQkECQII/wj8CP0JAgkMCRkJJwkzCT4JSglZCW4JhwmdCakJowmRCYIJiwmyCesKGgohCfkJtQl6CWgJhgm/CfEKBAn7CeoJ6goDCi8KWQp0Cn8KhQqTCrAK1wr+CxsLKQsqCyMLHgsiCzELSgtmC38LjwuZC58LqQu3C8kL2wvuDAMMHgxADGUMhAyaDKUMpwypDK0MtQy+DMUMyAzJDMwM0AzWDNoM3gzkDPENBw0hDTYNPA0yDSENGA0gDTYNUA1iDWgNbQ1+DaIN0g39DhYOHA4eDi4OWg6fDvAPOw9xD4wPjA93D1sPTQ9iD6MQBhBtELUQzBC3EJEQeRB+EJsQvBDRENgQ1xDWENkQ2xDVEMoQwhDDEM0Q1xDWEMcQsBCgEKAQsRDKEOAQ7hD6EQoRIBE4EUoRThFIEUERQRFIEU0RSBE0ERoRBREAEQsRHBEpES0RKxErETMRQxFWEWURcRF7EYcRkRGXEZQRixGAEXkReBF7EX8RgBGBEYURjBGVEZoRmxGUEYoRfhFyEWgRXhFXEVIRTxFLEUUROhErERoRCBD3EOgQ2xDQEMUQuBCpEJQQfBBgEEMQJxAND/YP4A/JD7EPlw99D2UPUA89DykPEQ73Dt4OzA7FDsYOyQ7IDrsOog6BDmEOSQ46DjUONw5ADk8OZg6FDqkOyg7iDvQPBA8dD0UPeA+rD9AP4Q/hD9oP0g/MD8MPsQ+XD3cPVg8yDwUOyQ6ADjMN7w2+DZ4Nhg1tDVANMQ0SDPYM2gy7DJkMeQxeDEkMNwwjDAoL7AvOC68LkQt0C1cLOwskCw8K+grjCscKqAqGCmQKQQoeCfwJ2gm6CZoJeglXCTQJEQjxCNEIsAiMCGYIQAgcB/kH2Ae1B5IHbwdOBzAHEgbyBs8GqwaGBmMGQQYeBfoF0gWpBYIFXAU4BRQE8ATKBKMEegRRBCgEAAPaA7UDkQNuA0sDJgL/AtYCrAKDAlwCNgISAe0ByQGkAYABXAE6ARcA9QDRAK0AhwBhADkAEP/k/7j/if9a/y7/Bv7j/sT+pf6D/lv+L/4C/dn9tP2S/W/9Sf0h/Pn80/yw/I78avxE/B77+fvX+7f7mft4+1X7MPsK+uX6wvqi+oX6a/pR+jb6Fvn0+dL5sfmT+Xf5W/k++SD5BPjr+NT4vfim+I74dvhh+E34OPgh+An38vfe9833vves95j3gfdt9133UfdI9z73MPcf9w72/fbu9uL22fbR9sr2xPa99rf2tPay9rH2rPaj9pX2h/Z89nb2dfZ19nP2cPZs9mv2bfZv9nH2cvZ19nv2hfaO9pP2k/aQ9pD2lvag9qv2s/a49r32xPbP9tz26fbz9vv3BfcU9yX3N/dJ91j3Z/d394j3mfeo97T3wffO99z36/f5+Af4FPgj+DP4Q/hR+F34avh7+I74ofiz+MT40/jl+Pf5CPkV+R/5KPk0+UH5SPlC+Sz5D/j4+PH4/fkU+Sn5Nvk9+Ub5Vvls+X/5ivmK+Yf5i/mZ+az5uvm6+av5lvmE+YD5ifma+ar5s/m2+bf5vPnJ+d759voN+h/6LvpA+lf6c/qN+pr6kvp0+kf6Gfn4+er56/ny+ff59Pnr+eP54fnl+ez58vn1+fX59/n7+gP6C/oQ+hH6EfoV+iD6MPpC+lX6afp++pX6rvrH+t368vsJ+yP7Qfti+4T7pvvH++L79vwE/BX8Mvxd/IX8kPxm/Ab7kftA+z77lvwl/K/9Bv0l/Sz9RP2E/dv+Jv5G/jX+CP3c/cL9tv2s/Z39iv17/XT9b/1k/VL9Qv1B/VH9a/1//YT9ev1w/XD9fv2Q/Z39nv2Z/ZX9mf2i/aj9o/2R/Xf9Xv1N/Ub9Sf1R/Vb9Vf1L/T/9OP09/U39Y/1z/Xb9bf1c/UX9I/zt/J38OPvM+277LPsG+vP64/rN+rL6l/qC+nT6bPpl+l76VvpP+kr6SPpG+kP6P/o4+i76I/oa+hL6DfoK+gn6CfoL+g76E/oW+hb6E/oQ+g76D/oR+hL6EvoS+hT6F/oZ+hj6FPoO+gv6DPoQ+hX6GPoa+h76Jfos+jL6Mfor+iP6Hfob+h76JPoq+i76Lvoq+iD6EPn/+fL56/np+er56vno+ej57Pnz+fn5/Pn8+fz6AfoN+h/6Mfo++kb6SvpO+lP6WPpd+l/6Yvpm+mv6cvp5+n76g/qG+ob6gfp3+mv6XfpR+kP6NPol+hv6Hfot+kf6YPpu+mz6W/pE+i/6IfoZ+hT6DvoG+fv58Pnl+dz51fnP+cn5wvm4+a35oPmU+Yr5gvl9+Xn5d/l1+XP5cPlt+Wr5Z/lk+WH5X/le+WD5ZPln+Wf5Y/lc+VL5SvlF+UP5QvlA+UD5QflE+Un5TflR+VT5WPlc+WH5Zflr+XL5ffmL+Zr5qfm2+cP50vnl+fj6CfoV+h36JPos+jj6RvpU+mH6bvp++pD6pPq3+sr62/ru+wH7FPsk+zL7PvtH+1H7W/tk+277d/uA+4j7j/uT+5T7lfuW+5r7oPum+6z7svu5+8H7y/vT+9v74vvp+/H7+/wE/A38Fvwe/Cf8L/w1/Df8Nvw1/Df8O/xA/ET8RfxF/Eb8SfxO/FP8VvxW/FP8UfxP/E78S/xH/EH8Ovw0/DD8Lfwr/Cj8Jfwi/B78G/wY/BX8EvwQ/A78DPwL/Ar8C/wN/A78EfwV/Bz8JPwt/DP8Nvw3/Df8Ovw//Eb8TPxR/FT8WPxe/Gf8c/yA/I/8oPyz/Mf82vzr/Pv9Cv0Z/Sj9Nv1C/Uv9Uv1Y/V39Yf1i/WL9ZP1q/Xb9hv2V/aL9rP22/cP90/3m/fn+C/4e/jP+Sf5f/nb+jP6j/r3+2P7z/wr/HP8s/zz/Tv9e/2v/dP96/4L/jv+d/63/u//L/93/9QAQACoAPwBQAGEAdQCLAKAAsAC7AMgA2wD2ARIBKgE6AUYBVgFuAYoBpQG8AdAB5gICAiECOgJMAlgCaAJ/ApgCqQKmApECcwJbAlQCagKnAxMDsgR1BTgFzwYaBhwF+QXiBfMGJQZYBmwGXAY/BjcGUQaCBqkGqgaDBkYGCwXfBb4FnQV3BU0FKQUNBPUE1wSyBI0EdQRwBHwEjwScBJwEkgSCBHIEZQRcBFcEWQRgBGoEcwR7BIEEhQSIBIYEfwRxBGIEWARVBFcEWARSBEIELwQcBA0EAAPwA9gDtgOPA2cDQgMhAwUC7QLWAr4CoQJ+AlUCJwH5AcwBnwFuATkA/wDGAJAAZABBACcAFQAH//z/8v/n/9r/zv/C/7n/tf+y/6//q/+k/5z/k/+J/37/cf9k/1j/T/9M/0z/Tv9Q/1D/T/9Q/1b/Yv90/4n/nv+w/77/x//O/9b/3//r//kACAAXACUAMgA+AEkAUgBZAF4AYABgAGIAZABnAGsAcQB6AIYAlQCnALkAygDYAOYA9AEDARUBKQE/AVQBagF+AZEBpgG+AdoB+gIbAjoCVAJqAn8CkgKmArgCxwLTAuEC9AMQAzUDYgOTA8QD8QQaBDsEVQRsBIMEngS/BOEFAAUZBS4FRAVhBYQFqgXOBewGCAYkBkIGYwaDBqEGvQbcBv4HIgdDB10HcQeDB5gHswfSB/EIDAgjCDkIUAhqCIUIoQi8CNcI9AkSCS4JSAleCXAJgQmSCaYJugnOCeIJ9AoICiAKOwpYCnIKhAqPCpYKnQqnCrQKwQrMCtUK3grqCvcLAAsCCvsK7QrcCsgKswqcCoMKbApZCkoKOwopChMJ/QnrCd8J2QnTCcsJwQm4CbIJsAmuCacJnAmOCYIJeQlzCW4JaAljCV0JVwlOCUUJOwkyCTYJNQk0CTEJKQkgCRcJEgkQCRAJEQkVCRwJJwk0CUIJTQlVCV4JbAmBCZsJsQm6Ca4JkAlvCV4JbAmZCdAJ8AniCakJXgkrCSoJWwmkCeIKAQoDCf8KCgorClgKfgqSCpQKlAqfCrkK3QsBCxsLKAsqCygLKAsuCzwLUQtoC30LjQuZC6ULswvGC9kL7Av+DBEMKgxLDG8MjwylDK8Msgy1DL0MyAzSDNgM2QzZDN8M6Qz0DPoM+gz6DQMNGQ03DVENWw1TDUENNw0/DVcNcg2CDYUNhw2ZDcIN+A4pDkMORw5EDlIOfg7DDw4PSw9rD20PWw9HD0APVg+PD+UQRBCQELUQrRCJEGUQVxBmEIUQoRCvEK8QrRCuELQQuhC6ELgQuRDCEM4Q1RDNELcQnRCQEJYQrRDMEOcQ+hEHERQRJRE3EUURSxFMEU8RVRFeEWMRXxFOETgRJREbERoRHREfER8RHhEjES8RQhFXEWkRdxGBEYsRkxGYEZcRkRGIEYERfRF/EYURjBGREZURlxGYEZcRlBGPEYgRfxF2EWwRZRFfEVkRUxFLEUARMxEkERURBRD0EOUQ1xDLEL8QshCiEI0QcxBWEDkQHRAFD+8P3A/ID7MPmw+CD2oPVA8/DykPEA70DtsOyw7HDs8O2w7iDt4Oyw6vDo4Ocg5eDlMOUw5bDmoOfw6XDq0OvQ7GDs0O3A77Dy0PbQ+rD9oP8Q/0D+4P5w/jD94P0g++D6MPgg9YDyMO3g6PDkIOAg3XDbwNpw2PDXANTg0xDRoNBQzsDMwMqQyIDG0MWAxEDC4MEwv1C9ULtAuTC3QLVws+CykLFgsBCugKyQqmCoEKWwo3ChUJ9AnVCbcJlwl1CU8JKQkDCOAIvwicCHkIVAgvCA0H7AfMB6wHigdnB0MHIQb/Bt0GvAaZBnYGUgYuBgoF5AW9BZYFcAVLBScFAwTdBLYEjgRnBEIEHgP7A9cDswONA2cDQAMZAvECxwKeAngCVQIzAhIB7gHHAaABeAFTATABDgDrAMcAogB7AFQAKwAA/9P/pP91/0r/JP8E/uf+yP6j/nn+S/4f/ff90/2x/Y39Zv09/Rb88/zS/LL8j/xp/EP8H/v+++D7v/uc+3X7T/sr+wn66vrN+q/6kvp1+lj6OfoY+fj52fm7+Z75gflj+UX5KvkR+Pr44/jK+LD4l/iB+G74W/hF+C74F/gC9/D33vfK97T3nfeL9373dfdt92L3Uvc/9yz3HPcP9wP2+Pbv9ub23/ba9tb20vbP9sr2wva19qb2l/aM9oj2ivaN9o72i/aF9oD2fvZ+9n/2gPaC9ob2jfaV9pv2nfac9pz2oPao9rD2uPa99sL2y/bZ9un29/cD9wv3FPcf9y/3QPdQ91/3bvd894z3nPeq97f3w/fR99/37Pf5+AX4Efgf+C/4P/hN+Fv4afh4+In4mvip+Lf4x/jb+PD5A/kS+Rz5JPku+Tr5QPk6+ST5Bvju+Of49fkO+Sf5Nvk9+UT5Uvlm+Xv5h/mI+YP5gvmM+Z35rfmx+aT5jPl0+WX5ZPlt+Xj5fvl/+X75g/mS+an5xPna+en59foH+ib6UvqA+qH6pvqL+lj6Hfnt+dL5yvnM+dD5zvnI+cP5xfnM+db53Pne+d753/nk+ez58vnz+fD57fnw+fv6Dvoj+jj6Sfpb+m/6hvqh+r362fr3+xb7N/tY+3b7kPuj+7L7vfvN++b8Dfw6/Ff8UPwZ+8P7dftd+5P8CPyM/Of9Avzr/NL84/0n/Yb90/3v/dn9q/2A/Wb9Wf1O/T/9Lv0l/SX9J/0j/Rn9Ef0X/Sv9Rf1X/Vj9Tv1F/Un9WP1q/XP9cf1r/Wj9b/15/X/9d/1i/UP9Jf0M/Pz89Pzw/O385/zc/M/8yPzL/Nn87Pz6/P388/zh/Mj8p/x2/DH72vt++y368frK+rH6mfp++mH6Rfov+h76EfoF+fz59fnz+fP59Pny+e/56/nm+eD52vnT+c35x/nF+cT5xvnK+c/51fnZ+dv52fnX+dX51PnU+dP50/nT+df53fnj+ef55fnh+d352/nb+d754Pnk+er59Pn++gb6B/oA+fX56vnj+eL55Pnp+e/59Pn2+fL56PnZ+cr5wPm7+br5uvm7+bv5vPm++cH5wfnA+cD5xfnQ+eH58voA+gj6DvoU+hv6JPos+jP6OPo++kT6S/pR+lj6X/pl+mn6a/pp+mP6W/pQ+kD6K/oT+f357/nu+ff6A/oM+g36CPoC+gD6BPoK+g36CPn5+eT5z/m/+bb5tPm1+bX5sfmq+aD5lfmJ+X75cvln+V75WPlY+Vv5YPlk+WX5ZPli+V75W/lY+Vj5W/lf+WH5Yflc+VX5TflI+UT5QflA+T75Pvk++UD5Q/lH+Uv5T/lT+Vb5WPlb+WH5a/l5+Yf5lPme+aj5tfnG+dr57fn9+gn6FPof+iz6O/pJ+lf6Zfp0+ob6mfqs+r760Pri+vb7C/sf+y/7PftJ+1P7Xvto+3L7e/uF+4/7mPue+6P7pfuo+6z7sfu3+737w/vI+8771Pva+9/75Pvo++z78vv5/AD8CPwS/Bz8Jfws/C/8MPwx/DP8OfxA/EX8SfxK/Ev8TfxR/FT8VvxU/FH8TvxM/Er8R/xD/Dz8Nvwy/C/8Lfwr/Cj8JPwf/Bv8GfwY/Bb8FPwR/Az8BvwC+//7/vv//AH8BPwJ/A78FPwa/B/8Ivwm/Cz8M/w7/EP8SfxN/FH8Vfxa/GH8avx0/IH8kfyj/Lf8y/zd/O/9Av0V/Sb9Nf1B/Ur9Uv1b/WP9aP1p/Wj9Zv1o/XD9e/2G/ZH9mv2k/bH9wP3S/eP99P4H/hz+M/5J/l/+df6M/qf+w/7d/vL/A/8R/yH/NP9I/1n/Zv9w/3n/hP+R/57/qv+3/8n/4P/6ABQAKgA+AFEAZwB+AJMAowCvAL0A0QDsAQYBGwEpATYBSQFjAYIBngG2AcsB4wH/AhsCMgJCAk4CXQJxAoMCiAJ8AmECRgI1AjgCUgKKAu0DgwRCBQgFpAX1BfsF3QXSBfkGSAaVBrQGmAZeBjEGMAZWBoIGkAZwBi4F5gWrBYIFYgVCBR8E/gTkBM4EtwSfBIkEfAR9BIcEkASQBIUEdQRmBFwEVgRRBE0ESwRPBFkEZgRzBHwEgwSIBIkEhgR8BG4EYQRaBFgEWQRVBEoEOwQrBB4EFAQJA/gD3wPBA6MDiQN0A2EDTgM4Ax0C/QLYAq8ChAJYAiwB/gHMAZMBUwEPAMoAjABYADEAFgAE//n/8P/n/9z/0P/D/7r/tf+1/7b/t/+2/7T/sP+s/6b/nv+U/4n/gP98/3v/fv+B/4X/iv+Q/5n/pv+0/8P/0//j//IAAQAQABwAKQA1AEMAUwBiAG8AeAB9AH0AewB4AHcAeAB8AIAAhQCIAIkAjACTAKIAuADQAOcA9gEAAQUBDQEaAS4BSAFjAX0BkQGhAa4BuwHNAecCBwIqAkoCYwJ2AoMCjgKYAqICrAK1AsIC0wLrAwoDMQNhA5gD1AQOBEAEYwR5BIoEngS6BNsE+gUSBSMFMwVJBWgFjwW2BdkF+AYVBjUGWAZ7BpsGugbaBv0HIQdDB14HcAd+B44HpgfDB+MH/wgWCCsIQghcCHsInAi8CNsI9gkQCScJPAlOCV0JbQl/CZIJpwm7Cc4J4Qn1CgwKJwpDCloKawp2Cn4KhQqNCpgKowqvCr0KzQrdCuoK8QrxCusK4grXCsoKtgqbCn0KYwpQCkYKPwo0CiMKDwn9CfMJ7wnsCeYJ3AnSCckJwwm9CbQJqAmcCZIJjAmHCYEJeQlxCWoJYwlaCVAJRQk7CUgJRglFCUAJNwkrCSEJHQkeCSUJLgk5CUUJUQlcCWQJaQlvCXgJiAmeCbEJuQmuCZEJbQlUCVcJeQmxCeIJ8AnPCYgJOwkMCRAJQwmLCcoJ8AoBCgwKIQpCCmQKewqBCn0KfgqNCqsKzwrvCwYLEwsbCyQLLws9C0wLXQtuC4ALkQugC7ALwQvUC+gL+wwODCMMPQxcDH0MmgytDLcMuwzCDM0M2gzlDOoM6wztDPUNAw0SDRoNGg0YDR8NNA1TDW0NeA1wDWANWQ1kDX0Nlw2kDaMNog2yDdkODQ48DlgOYQ5oDn8Org7sDyMPQw9FDzMPIQ8gDzsPcw+/EBMQWhCFEI0QdxBXEEAQPxBREGsQfxCIEIkQihCOEJYQnBCgEKUQsBDAEM0QzhC9EKAQhhB9EIsQqRDOEO4RBREWESQRMhFAEUoRURFVEVoRYRFnEWoRZxFfEVMRRhE6ES4RIxEZERIREhEaESoRPxFXEWwRfhGKEZMRmBGcEZ0RmxGWEZARixGLEY4RlBGZEZoRlxGREY0RihGIEYYRgRF5EXERahFjEVwRURFEETYRKBEbEQ4RABDwEN4QzhC/ELIQpBCTEH0QYxBGECoQEA/5D+YP1g/GD7QPnQ+DD2cPSw8wDxYO/A7kDtAOxg7HDtIO3w7oDucO2g7GDq4Olw6DDnMOag5oDm0OeQ6KDpoOpg6sDrEOvg7dDxEPVQ+aD9MP9xAGEAcQAg/8D/QP6Q/ZD8QPpw+AD0oPBA60DmgOKg3/DeANxA2hDXgNUA0yDR8NEg0DDOwMzQysDI8MdwxiDEsMMQwSC/IL0QuxC5ILdQtbC0ULMQscCwMK5QrDCp4KeQpUCjAKDAnrCcwJrgmNCWkJQgkbCPYI0wiyCI8IawhFCCEIAAfiB8QHowd/B1kHMwcQBvAG0QavBooGYgY7BhUF8QXMBacFggVdBTgFFATuBMcEngR4BFUENQQWA/UD0QOpA4EDWQMxAwoC4gK6ApUCcgJSAjECDQHmAb0BlQFvAUsBKAEFAOAAuQCRAGkAPwAT/+b/uP+M/2T/QP8g/wH+4P66/pH+Zv49/hb98v3P/an9gf1Z/TP9Efzy/NL8sPyL/Gj8Rfwl/AT74Pu4+5D7a/tL+y/7FPr5+tv6vPqc+nv6W/o7+hv5/Pne+cH5ovmC+WP5SPkw+Rr5BPjr+ND4tvif+Iz4evhn+FL4O/gl+BH3/Pfm98/3u/es96P3nPeT94X3cfdb90n3PPcx9yb3GvcN9wH2+fb09vD27Pbm9t721PbI9rn2q/ah9pz2nvai9qT2ofaZ9pH2ivaI9on2jPaQ9pP2l/ac9qD2o/ak9qb2qvaw9rb2vPbA9sf20fbf9vD2//cK9xL3Gvck9zH3QPdQ9173bPd694n3l/el97H3vffK99f35ffx9/v4BvgT+CL4M/hD+FP4Y/hz+IP4k/if+Kz4uvjM+OH49fkD+Q75F/ki+S75Nfkw+Rv4/vjl+N346vkF+SD5Mvk7+UH5TPle+XL5fvmA+Xr5d/l++Y35nvmk+Zr5gvll+U/5RflG+Uv5TvlP+VL5XPlx+Yz5p/m6+cT5yvnX+fb6Jvpc+of6lfqC+lT6Gvnn+cX5tfmx+bH5sfmw+bH5tvm9+cL5xfnD+cP5xvnO+df53Pnb+dX50PnT+eD59PoJ+hz6Kfo0+kL6Vvpx+pL6t/rc+wH7I/tA+1b7Zfty+3/7kvut+9D79vwS/Bb7+/vK+5n7i/u0/BL8gvzW/O38yfyO/HD8jPze/T79gv2S/Xb9S/0o/Rf9D/0E/PL84fzZ/Nz84vzk/N/83fzm/Pz9F/0q/S/9Kv0m/Sv9N/1C/UX9P/03/TX9Ov1D/UX9O/0k/QT84Py+/KD8i/yA/Hv8efx1/G/8avxs/HX8g/yM/Ij8ePxe/D/8Gvvs+7H7avsg+t76q/qG+mz6U/o7+iL6C/n1+d/5yPmx+Z/5lvmU+Zb5mPmY+ZX5k/mS+ZH5kPmM+Yn5hvmH+Yn5jfmR+Zb5mvme+aD5n/md+Zn5lvmT+ZH5kPmS+Zj5ofmr+bP5tvm0+bD5rPmq+av5rfmw+bX5vvnH+c750PnM+cP5uvm0+bD5r/mw+bH5tfm4+br5t/mw+ab5n/ma+Zr5mfmX+ZP5jvmL+Yr5i/mO+ZL5mPmg+ar5s/m8+cT5zPnX+eX58/n/+gn6EPoW+hz6Ivoo+i/6N/o/+kj6TvpT+lP6UPpJ+j36LPoW+f355vnU+cf5wPm8+bv5vfnE+dH54vny+fr59vnk+cr5rvmY+Y75jfmS+Zf5l/mT+Y35h/mA+Xj5a/lc+Uz5Qfk8+T/5RvlP+Vf5XPlf+V/5XPlW+VD5TPlJ+Un5SflJ+Uf5RPlC+UH5QflA+T/5Pfk6+Tn5OPk6+T35QvlI+U35UflV+Vv5ZPlu+Xr5g/mK+ZH5mvmp+bv5z/ni+fL6APoN+hz6LPo7+kr6Wfpp+nv6jvqg+rH6wvrS+uT69/sJ+xv7K/s6+0n7V/tl+3D7e/uG+5H7nPun+7D7uPu++8T7yvvQ+9b73Pvh++b76vvu+/D78/v1+/f7+vv9/AL8CPwP/Bn8Ivwp/Cz8Lfwt/C78Mvw5/D/8RfxI/Ev8TfxQ/FP8VPxT/E/8TPxI/EX8Qvw+/Dn8NPwv/Cz8Kvwn/CP8HvwZ/BX8E/wT/BT8E/wS/A78CfwE/AD7/vv++//8AfwD/AX8B/wJ/A38FPwd/Cj8M/w+/Eb8S/xP/FP8WPxe/GT8a/x0/ID8j/yg/LH8w/zT/OX8+f0N/SD9MP08/Ub9UP1b/Wb9bP1t/Wr9Zv1m/Wv9c/18/YX9jv2X/aP9sf3A/c/93v3v/gT+Gv4x/kj+Xv53/pL+rv7I/tz+6v73/wX/F/8t/0H/Uv9g/2z/d/+D/47/mf+o/7r/0v/rAAMAGAAsAEEAWABxAIYAlQCiALEAxQDdAPUBCQEYASkBPwFbAXkBkgGoAb0B1QHyAg4CJAIzAj8CTgJfAmkCYwJNAjECHAIZAicCRAJ0AsYDSwP/BMIFYgW2Bb8FpwWqBewGYQbVBwwG8AacBkYGGwYlBkUGVAY5BfsFsgV1BUoFKgULBOkEygSzBKYEnQSUBIoEgwSBBIIEfwRzBGEETwREBEIERgRHBEYEQwRFBE0EWgRnBHIEeQSABIUEiASHBIAEeARxBG4EbQRqBGIEVQRGBDkELwQlBBYEAwPtA9kDyQO8A64DmwOBA2EDPwMcAvcC0AKoAn8CVQIpAfcBvgF9ATUA7QCqAHAAQQAeAAT/8P/h/9T/yP++/7n/t/+6/73/wP/A/7//vP+6/7f/tP+u/6j/ov+f/6D/o/+o/6//uP/E/9T/5P/0AAIADwAeADAARABYAGwAfACJAJYAogCsALMAswCuAKMAlgCLAIQAggCEAIcAiQCJAIYAhQCMAJwAtgDUAO4BAQEKAQ8BFQEhATYBUgFvAYoBngGqAbABtQG+AdEB7AIOAi8CTAJgAm0CdwKAAosCmAKoArkCywLdAvEDCgMvA2UDrAP5BEAEcwSRBKIEsQTJBOkFDAUnBToFSAVbBXcFmwXBBeMGAQYeBkAGZgaOBrMG1Qb1BxUHNgdWB3EHhQeUB6QHtwfQB+oIAggXCCoIPghXCHQIkwixCM0I5wj+CRQJJwk4CUgJWAloCXoJjQmiCbcJzQnlCf0KFgotCkEKUQpfCmsKdgp/CoYKjAqVCqMKswrCCssKzArHCsAKvAq7CrYKqAqQCnUKYApWClUKVwpSCkMKLQoZCg0KBwoCCfwJ8QnlCdsJ1AnNCcYJvQm1Ca4JqAmhCZgJjQmCCXgJcQlqCWAJVglNCWMJXglZCVEJRwk9CTcJOQlCCVAJXglqCXMJeAl5CXgJdwl7CYUJlQmkCaoJowmPCXcJaglyCZUJyQn8ChgKDQnbCZIJTgkmCScJSgl9Ca4J1AnvCggKIgo8Ck0KUgpQClEKXgp8CqMKyQrlCvgLBgsUCyYLOgtMC1wLawt7C40LoQu1C8YL1gvmC/gMDAwhDDgMUgxuDIkMoAywDLoMwQzKDNcM5gzzDPwNAQ0HDRENHw0sDTMNNA01DUANVg1yDYgNjw2GDXgNdQ2DDZwNtA2/Db8Nvw3ODe8OGQ4/DlkOag6BDqYO2Q8JDyQPIQ8KDvIO8A8ND0gPkg/cEBYQOhBGED4QLBAcEBcQHhAuED8QShBSEFkQZBBwEHwQhRCNEJgQqhC9EMcQwRCrEI0QeRB3EIwQrxDUEPURDhEiETMRQxFQEVoRYRFmEWoRbRFuEW0RaxFqEWcRYRFWEUQRMBEfERURFREdESsRPxFXEW4RgxGSEZoRnhGhEaQRpxGpEagRpRGhEZ8RnRGaEZQRixGDEX4RfRF9EXwRdxFvEWYRYBFcEVURSxE8ESwRHREPEQMQ9RDkENIQwBCxEKQQlhCEEG0QUxA4EB0QBQ/wD94Pzw/AD60Plg94D1gPNg8WDvkO4A7NDsEOvw7FDs8O1g7WDs4Owg62Dq4Oqw6qDqcOow6fDp4Oow6tDrgOvQ68DrcOtw7HDu4PKg9yD7gP7xAREB4QGxAREAIP8w/kD9QPvw+dD2kPJA7VDooOTA4fDf0N2w2yDYMNVQ0yDRwNEA0EDPIM2Qy+DKUMjwx6DGMMRwwpDAkL6wvPC7MLmAt/C2gLUQs4CxwK/AraCrgKlgpyCkwKJAn9CdgJtwmXCXYJUgktCQgI5wjHCKcIhAheCDkIFgf2B9gHuAeTB2wHRgckBwUG5gbDBpwGcQZHBh8F+gXVBbAFigVlBUIFHwT6BNMEqgSCBF8EQQQlBAYD4wO8A5QDbANHAyIC/QLYArICjgJrAkgCIwH8AdUBrgGJAWYBQgEdAPYAzwCnAH4AUgAm//n/zv+m/4D/Xf86/xb+8f7K/qP+ff5X/jP+EP3t/cj9ov18/Vf9NP0S/PD8zvyr/Ir8afxH/CP7/fvU+637ivts+1L7OPsc+v763vq++p36fPpb+jv6G/n++eD5wvmi+YL5ZvlN+Tj5IvkJ+O740/i7+Kf4lfiD+G/4WfhE+C74GPgC9+v32PfL98P3vPew9573h/dy92P3W/dV90z3Pfct9x/3FvcR9w33Bvb89vD25fba9tD2xfa79rP2sfay9rP2sPao9p72lvaS9pX2mvag9qP2pfak9qT2pfan9qv2sPa39r32wvbI9s/22fbl9vL2/vcH9w73Ffcf9yz3OvdI91b3ZPdy94L3kfed96n3s/e+98v32Pfl9/H3/PgJ+Bj4KPg4+Ej4WPho+Hj4hviT+J/4rfi9+ND44vjw+Pz5BvkT+SH5Kvko+Rb4+vjg+Nb43/j4+RT5Kfk0+Tv5RflV+Wf5dPl2+XH5bflw+Xz5i/mS+Yv5d/ld+UX5N/kx+S/5Lfkt+TL5QPlY+XX5j/mf+aT5pfmv+cn58voi+kn6W/pR+jL6Cfng+cL5rvmk+aD5n/mh+ab5q/mu+a75qfmm+ab5rfm5+cT5yvnI+cH5vPm++cr53Pnv+f36BvoN+hn6LPpI+mr6kfq3+tr69/sO+x77LPs8+1P7c/uZ+7z71PvX+8b7p/uP+5L7wfwW/Hj8wfzT/Kn8X/wk/B/8Wvy7/RX9Rf1B/Rz89fzf/Nr82PzN/Lf8oPyV/Jb8nPyg/J78nvyo/L/83Pz1/QL9BP0D/QT9B/0J/Qb8/vz2/PP88/z1/PH85vzR/LT8j/xn/ED8I/wU/BP8Gvwg/CD8G/wX/Bf8GfwV/Ab76vvF+577dvtM+xv65Pqs+nn6U/o5+ir6H/oX+g75//no+cf5nflz+VH5Pfk3+Tn5O/k8+T35P/lD+Uf5SflI+UX5RPlH+U35UvlW+Vn5XPlf+WL5Y/lf+Vr5VflS+VD5UflU+Vv5ZPlu+Xj5fvl/+X35evl5+Xr5e/l9+YD5g/mI+Yz5jvmN+Yj5hPmB+YD5f/l++X35fPl9+X75fvl8+Xn5d/l4+Xv5ffl6+XP5aflh+Vz5Xvlk+Wz5c/l4+Xv5fPl/+YX5jvmc+az5vPnK+dX53vnl+e359fn9+gT6DfoW+iD6Kfox+jX6Nfox+ir6IfoU+gT57/nX+b/5qvmb+ZP5kvmY+aT5s/nD+c750PnH+bT5nPmH+Xn5dPl1+XX5c/lu+Wr5aPlp+Wj5Y/lX+Uj5OPkt+Sn5Kvkw+Tn5QvlM+VX5WPlV+U35Qvk4+TL5L/kv+TH5M/k2+Tn5PPk9+Tz5Ovk3+TL5L/ks+Sz5MPk3+UD5SflQ+Vf5Xvlm+W75dvl8+YL5ifmV+aT5t/nJ+dv56/n6+gr6G/os+jz6S/pb+m36f/qS+qT6tPrE+tL64frw+wD7D/sg+zH7Q/tV+2T7cvt/+4v7mPum+7T7wPvL+9P72/vh++j77vv0+/r7//wD/Af8CfwL/A38D/wR/BP8Ffwa/CH8KPwv/DL8Mvwv/C38Lfwx/Db8PPxB/ET8R/xL/E78UPxP/E38SPxE/ED8Pvw7/Df8M/wt/Cf8Ifwb/Bb8EfwN/Aj8BfwE/AT8BfwG/Af8CPwH/AX8A/wC/AH8AfwC/AL8AvwD/Ab8DvwZ/Cf8NPw//Eb8S/xP/FT8Wvxh/Gj8b/x5/IX8k/yj/LH8v/zM/Nv87f0C/RX9Jf0y/T39Sv1X/WL9af1q/Wb9Y/1j/Wf9b/13/X39hP2M/Zf9pP2x/b79y/3b/e7+BP4a/jD+Rf5e/nn+lv6w/sX+1P7h/u7+//8U/yn/PP9M/1r/Zv9y/37/jP+d/7P/zP/k//gACgAbAC8ARwBfAHQAhQCTAKMAuADPAOYA+QELASABOQFVAW8BhAGVAaoBxQHjAf8CEgIfAisCPAJNAlUCSwIwAhICAgIIAh8CPgJoAq4DJwPSBJEFMAWFBY8FegWIBeEGdQcHB1IHOAbPBlUGBAXuBf4GCgX2BcMFggVKBSAE/QTYBLAEjQR4BHQEegR/BH4EegR1BHEEaQRbBEgENwQvBDEEOQRABEIEQQREBE0EWwRrBHgEgQSJBJIEmwShBKIEngSZBJYEkwSQBIoEfwRyBGUEWARMBDwEKwQZBAoD/wP1A+cD0gO2A5UDdANSAy8DCgLjArsClgJyAk0CIQHsAa0BZgEeANgAmQBkADgAFv/9/+7/5v/j/+X/6f/u//D/7//q/+T/3v/a/9j/1//V/9P/0v/T/9X/2P/a/93/4v/s//wAEAAlADgASgBcAHAAiACiALwA0wDmAPUBAAEGAQYBAAD1AOYA1QDFALcAqgCgAJYAjACDAHsAdwB7AIkAoQC+ANoA8gEEAREBHwEvAUQBXAF2AY4BogGxAbkBvgHEAdAB5AH+Ah0COgJTAmcCeQKLAp8CtgLQAukC/QMKAxEDGQMvA1wDoQP2BEkEigSyBMcE1wTtBQ4FMgVTBWoFfAWPBakFyQXsBgwGJwZDBmQGiwa0BtwG/gcbBzcHUwdwB4sHoge0B8MH0gfiB/MIBAgUCCQIOAhPCGgIggibCLMIygjhCPgJDwkkCTcJSAlYCWkJewmQCakJxAngCfoKEAoiCjAKPgpNCl0KagpyCnUKdwp8CoYKlAqhCqYKowqdCpgKmQqdCp8KlwqHCnQKaApnCm8KdQpyCmIKSwo2CicKHwoZChEKBQn5CfAJ6wnoCeMJ3QnVCc4Jxwm+CbIJpQmYCY4JhgmACXkJcQlpCYQJfQl1CW0JZQlgCWIJagl2CYEJigmPCY4JigmCCXsJeQl+CYoJlwmeCZkJiQl6CXkJjgm4CewKFwoqCh4J9Qm/CYoJYwlSCVQJZgmBCaAJwgnmCggKJAo0CjcKMgouCjcKUgp7CqYKywrjCvMLAQsUCysLRAtZC2kLeQuMC6MLvAvTC+UL8wwBDBEMJQw6DFAMZgx7DJAMowy0DMEMzAzWDOIM8Q0ADQ8NHA0nDTANOQ0/DUINRQ1ODWANeA2QDZ8Nnw2VDYoNiw2ZDbANxA3RDdcN4A3zDg4OLA5FDlgOcA6UDsQO9A8QDw0O7w7MDr4O1g8SD2EPrQ/kD/8QAw/5D+wP4w/jD+oP9hACEAoQDxAVECEQMxBIEFsQahB5EIsQohC2EL8QuBCkEI8QhBCNEKcQyRDrEQgRHxE0EUYRVRFhEWoRchF4EX0RfRF6EXURchFyEXMRcRFmEVQRPxEvEScRKBEvETsRSxFfEXYRjBGdEaURqBGoEasRshG4EbwRuxG1Ea0RoxGYEYwRgBF3EXMRcxF0EXERaRFfEVgRVBFSEU8RRhE3ESYRFBEFEPgQ6RDZEMkQuhCtEKAQkRB9EGMQSBAsEBQP/g/qD9gPxw+1D6APhg9nD0UPIg8CDuUOzQ68DrQOtQ68DsIOwA6zDp4Oiw6EDo4OqQ7LDuwPBQ8VDx4PJA8oDycPHA8EDuUOxw64DsMO7Q8uD3oPwQ/2EBQQHRAXEAkP+Q/rD90PyQ+oD3MPLg7gDpcOXQ40DhgN/A3ZDbANhA1eDUENKQ0SDPgM3AzCDK0MmwyJDHMMWAw6DBwMAAvlC8oLsQuZC4MLbQtTCzMLEArsCskKqgqKCmYKPQoQCeYJvwmeCX0JWwk3CRQI8wjVCLgImQh2CFEILAgKB+kHxwejB3wHVgczBxQG9AbQBqgGfgZUBi0GBwXhBbkFkQVqBUcFJQUDBN0EtQSNBGkESgQuBBED7wPJA6IDfANYAzcDFALxAswCpgKAAlkCMwINAekBxQGiAX0BVwEwAQgA4QC6AJIAaAA9ABL/6v/E/6D/e/9U/yv/Af7Z/rP+j/5s/kr+J/4F/eP9wP2e/Xr9Vf0x/Q386vzH/Kb8hPxh/D38F/vx+877rfuQ+3P7Vfs2+xX69frW+rj6mPp4+lj6Ovoe+gL55vnH+aj5i/lw+Vn5Qfko+Qz48fjY+ML4r/ic+Ij4c/hf+Er4Nfgf+An39vfn99v30PfB9633mPeG93z3efd192z3XfdM9z73Nvcz9y73I/cT9wL29Pbr9uX23vbV9sz2xfbB9sD2vfa29qv2ovae9qD2p/au9rL2sfas9qj2pvan9qz2s/a69sL2yvbR9tr24/bt9vb2/fcC9wj3EPcb9yj3NfdC9033Wvdo93j3hveT9533pvex9773zPfc9+r39/gF+BT4I/gy+D/4TPhZ+Gf4dfiD+JH4oPiw+ML40/ji+O/4+/kJ+Rb5H/kd+Q349Pjb+M/41fjr+Qb5HPkq+TL5PflL+Vz5aPlr+Wb5YPlg+Wj5dPl8+Xn5avlU+T/5L/kl+R75GPkV+Rj5Jvk9+Vj5b/l++YT5hvmO+Z/5uvnY+fH5//n++fH53vnJ+bb5pvma+ZT5k/mX+Zv5nPmZ+ZL5ivmG+Yn5k/mg+a35s/my+a75qvms+bb5w/nS+d755/nw+f76E/ov+lD6cvqT+q/6x/ra+uv6/vsX+zX7WPt4+4/7lfuL+3r7cPt++6/7/vxW/Jf8p/x9/C775PvH++78Svy1/QP9HP0F/Nn8tvyo/Kn8qfya/ID8ZvxY/Ff8Xfxh/GH8Yvxs/IL8nvy3/Mf8y/zI/MP8vvy5/LP8rPyk/J78lvyN/IP8dvxl/E/8MPwJ++P7xfu4+7v7x/vP+8z7wPuw+6H7k/uA+2P7PPsP+ub6wfqh+n/6Wfoy+hD5+Pnw+fX6BPoW+iH6HPn/+cz5iflG+RH48vjm+OT45fjn+On48Pj6+QT5CfkI+QX5BPkH+Q75FPkY+Rr5HPkf+SP5JPkh+Rv5FfkT+RT5F/kb+R/5Jfkt+Tb5PflB+UL5QvlC+UT5R/lI+Uj5SPlJ+Ur5S/lK+Uj5RvlG+Un5TflQ+VD5T/lM+Uj5RPlC+UD5QvlH+VD5V/lb+Vf5TflB+Tj5Nfk4+T75RPlJ+Uv5TPlN+VH5WPli+W75e/mI+ZT5ofmu+bv5xvnR+dn54Pno+fL5/PoE+gn6CfoH+gT6Afn++fn57/nf+cr5tPmh+ZP5iPmC+X75f/mG+ZD5m/mi+aH5mPmM+X/5dflt+WT5WflN+UT5QflF+Uv5T/lM+UT5OPkr+SH5GfkV+Rf5H/ks+Tz5SvlQ+U75Rfk5+S/5KPkl+Sb5Kfkt+TD5Mvky+TH5L/ks+Sn5Jvki+R/5IPkm+S/5OflD+Ur5UflY+WH5a/l1+Xz5hPmM+Zj5pvm3+cj52Pnp+fr6DPod+i76PvpO+l76cfqF+pn6q/q8+sr61/rk+vD6/fsL+xr7LPs++0/7YPtv+3z7ivuY+6f7tvvD+8/72vvj++v78vv5/AH8CPwP/BX8Gvwe/CH8I/wk/CX8Jvwo/C38M/w5/Dz8PPw4/DP8L/wt/C/8Mfw0/Db8Ofw8/EH8RPxF/EP8Pvw5/DX8M/wx/C/8Kvwi/Bn8EPwJ/AT8Afv9+/n79Pvv++z77Pvv+/T7+vv+/AD8APwA+//8APwB/AP8BPwE/Ab8C/wU/B/8K/w1/Dz8QvxJ/FD8WPxg/Gf8b/x4/IT8kfyf/Kr8tPy//Mz83Pzu/P/9D/0c/Sr9Ov1J/Vb9Xf1e/Vz9W/1e/WT9a/1x/XX9ef2A/Yr9l/2k/bD9vf3M/d398P4D/hb+Kf5A/lr+d/6T/qv+vf7M/tv+7P7+/xL/Jf82/0X/Uv9f/23/fv+U/67/yP/e/+7/+wAJABwAMwBLAGAAcQCCAJUArADFANsA7wEDARoBNgFRAWgBegGKAZ8BvAHcAfYCBQINAhgCKwJBAk0CRQIqAgsB+gIBAhoCOgJlAqoDHwPHBIEFGwVsBXIFXwVzBdYGdgcTB2MHQwbNBkAF2gW0BbwFyQW9BZMFXQUrBQQE3gSyBIIEWQREBEQEUARcBGAEXARXBFQEUARIBDoELAQkBCcEMAQ6BEEERQRMBFkEbASCBJQEowSuBLoExgTPBNIEzgTIBMEEvQS6BLUErQShBJUEhwR4BGcEVQRDBDQEKAQdBA8D+gPhA8MDpQOFA2IDPAMSAukCxQKlAocCZQI5AgMBwwGAAT0A/gDFAJQAbgBUAEYAQgBFAEsAUQBTAFEASgBAADYALwArACsALAAsAC0ALgAwADIAMQAsACQAHQAeACgAOwBUAG4AhwCeALYA0gDyARUBNgFTAWoBeAF+AXwBdQFrAV0BTAE2ARoA+wDaALsAogCRAIcAhACHAJIAogC4ANEA7AEGASEBOgFRAWYBeQGMAaEBuAHPAeUB9gIFAhECHwIxAkcCYAJ8ApkCtgLVAvQDFQM3A1UDbAN3A3gDdQN6A5UDygQTBGEEowTQBOoE/QUUBTQFWAV6BZUFqgW/BdkF+AYZBjcGUgZsBokGrAbRBvUHFAcvB0gHYgd9B5kHsgfGB9UH4AfpB/EH+wgICBkILQhECFwIcgiHCJwIsQjICOAI+QkQCSUJOQlNCWAJcwmKCaQJwQneCfcKCwoZCiQKLwo9CksKVwpeCmAKYApkCm0KegqECokKiAqFCoYKjAqUCpgKlAqJCn8KewqBCooKjwqJCncKYQpPCkMKPAo2Ci0KIgoYChEKDwoMCgcJ/wn2CewJ5AnbCdEJxAm4Ca0JpQmeCZgJkQmLCaUJnwmXCZEJjQmPCZUJnAmgCaAJnAmVCY0JhwmACX0JfgmHCZQJnwmgCZMJggl6CYkJsQnkCg0KGAn+CcwJlQluCWAJZQlzCX4JhgmPCaIJwwntChcKNgpCCj8KNgoyCjwKVQp4CpsKtwrNCuAK9QsPCy0LSgtjC3gLjQulC8AL3Av0DAYMFQwkDDQMRwxaDGoMeAyGDJYMqQy+DNAM3QznDPEM/g0ODSINNA1CDUkNTA1MDU4NVw1nDX4Nlg2nDa0NqA2fDZsNnw2tDb8Nzw3eDe4OBA4dDjYOSA5TDmAOeg6jDtQO+Q7/DuYOvA6fDqcO2w8sD4IPwg/iD+QP1Q/CD7UPsw+5D8YP1A/fD+UP5w/qD/IQARAVECsQQhBZEHMQjxCnELQQtRCtEKYQqBC5ENQQ8xERESoRQRFUEWQRcBF2EXsRfxGFEYsRjBGIEYIRfBF7EXsReBFuEV4RThFEEUMRSBFREVoRZRF0EYcRmxGqEbERsRGvEa8RsxG4EboRuBGxEacRnBGQEYMReBFxEW4RbRFtEWoRYhFaEVQRURFREU0RQxEzESEREBEBEPQQ5xDYEMoQvRCyEKQQkRB4EFsQPRAiEAoP9g/kD9MPwQ+sD5QPeA9ZDzkPGg79DuIOyg63DqwOqg6tDq4OpA6NDmwOUA5HDlsOiw7ODxUPUw+CD6APrw+xD6QPhQ9UDxgO2w6sDpkOpw7VDxcPYQ+jD9UP9BADEAUP/w/0D+EPxA+YD10PFg7NDo4OYQ5FDjcOKg4YDf4N3g28DZoNdQ1MDSAM9gzTDLgMpQyTDH8MZwxLDC8MEQvzC9QLtwufC4wLewtmC0kLJAr8CtYKtgqYCnkKUwonCfoJ0QmtCYsJaQlFCSAI/QjeCMIIpgiHCGQIPwgbB/gH1QewB4oHZAdABx0G+wbXBrEGigZjBj8GGgXzBckFngV1BU8FLgUMBOkEwwSeBHsEXAQ/BCAD/gPYA7EDjANpA0gDJgMDAt8CuQKSAmsCRQIgAf0B2gG3AZABZwE8ARMA7ADHAKIAfABTACoAA//e/7r/k/9p/z7/E/7r/sb+o/5//lv+N/4V/fX91v21/ZP9b/1L/Sf9BPzh/L38mfx0/E/8LPwL++370fuz+5T7cftN+yn7CPrq+s76sfqT+nX6Wfo++iT6Cfnt+c75sfmV+Xv5YvlH+Sz5Efj5+OP4zvi5+KP4jvh5+Gb4Uvg9+Cf4Eff+9+733/fP9733q/ee95b3kveN94P3c/dj91j3U/dS90z3P/cq9xT3A/b69vf28/bt9uP22vbT9s/2yvbD9rn2r/aq9qv2sfa49rz2u/a29rH2rvau9rH2uPa/9sf20PbZ9uP27Pb09vv3AfcF9wz3FPcg9yz3OPdB90r3U/df92z3eveG95H3m/eo97f3yPfY9+f39fgD+BH4IPgv+Dv4RfhQ+Fz4afh4+If4lvil+Lb4x/jX+Ob48/kA+Qv5EfkN+P345vjQ+Mb4zPjg+Pr5EPke+Sf5MPk9+Uz5WPlc+Vf5UflQ+Vf5Y/ls+Wr5XflI+TL5IfkV+Q35B/kC+QT5Dfkf+Tb5TPld+Wj5b/l2+X/5iPmQ+Zf5m/mf+aH5oPmd+Zb5jvmI+YX5h/mJ+Yr5hfl8+XL5a/lp+W75ePmD+Yz5kvmV+ZX5lvmZ+Z/5qvm2+cT50fng+fL6CPoj+kD6Xfp3+o76o/q4+s/66PsD+xz7MftA+0f7SPtK+1b7c/um++r8Mfxj/Gz8RPv3+6b7ePuI+9X8Rvyv/O389PzS/KX8hfx5/Hj8c/xi/Ej8Mvwn/Cj8L/w1/Db8OPxB/FH8Zfx1/H78ffx2/G38ZPxd/Ff8UfxI/Dv8KfwU/AH78fvj+9P7uvub+3r7YvtY+1z7Y/ti+1X7PPsf+wT66vrM+qb6evpO+ir6EfoA+fD53PnF+bH5p/mu+cf57PoU+jD6MvoP+cv5c/kc+Nn4svih+Jz4mfiX+Jj4oPiv+L/4yfjL+Mn4yfjN+NX43Pjf+OH44vjl+Of46Pjj+N341/jW+Nn43vji+OP45vjr+PL4+/kB+QP5BPkE+Qf5C/kO+RD5D/kP+Q/5D/kN+Qr5CPkI+Qz5Ffke+SX5J/kj+Rz5E/kL+Qb5BfkJ+RP5IPkq+S/5K/ki+Rf5DfkI+Qf5C/kQ+RX5Gvke+SH5JPko+S75NvlC+VD5Yvl1+Yf5lvmj+av5svm4+b/5x/nP+dT51fnU+dL50/nX+dv53PnZ+c/5wvm0+ab5lvmE+XL5Y/lc+WD5bfl9+Yr5kfmR+Yz5hvl9+XH5YPlM+Tr5Lfkp+Sr5Lfkv+S/5LPkm+R75FfkM+Qf5CfkT+SX5OPlI+VD5T/lJ+T/5Nfkv+Sv5Kvkr+Sr5KPkj+R35GfkY+Rn5GfkY+RX5FPkX+R35Jvkv+TX5O/lD+U75XPlp+XT5fPmE+Y35mfmp+br5y/nc+e36APoU+ib6N/pG+lb6aPp8+pH6pvq4+sj61/rk+vD6/PsH+xP7IPsu+z/7T/te+2v7d/uD+4/7nvut+7z7y/vX++D76fvw+/j8APwJ/BH8Gfwf/CT8KPwq/Cv8LPwv/DP8OvxA/EP8Q/w//Dn8M/wu/Cr8KPwm/CT8Jfwo/C38MPwx/C78J/wf/Br8F/wW/BX8EPwJ/AD7+Pvy+/D77/vt++r75fvf+9r71/vZ+9775Pvr++/78fvy+/P79/v7/AD8AvwD/AL8A/wG/A78F/wg/Cn8Mvw8/Eb8UPxZ/GH8aPxv/Hj8gvyN/Jj8o/yw/L38zPza/Of88/0A/RD9Iv00/UL9S/1O/U/9Uv1Y/V/9Zv1p/Wv9bv11/X/9jP2Z/aX9sf2+/c393f3t/fz+Df4h/jn+Vv5y/oz+ov61/sf+2P7p/vz/Dv8e/y3/O/9J/1r/bv+I/6T/vv/S/+D/6//4AAsAIQA4AEwAXQBwAIcAoQC7ANIA5QD5AREBLgFLAWIBdAGGAZ0BuwHaAfEB/AIAAgkCHQI3AkgCRAIrAgwB+gH/AhYCOAJnArMDLQPTBIcFFgVcBVwFRgVbBb0GWwbxBzgHEAaTBgMFnAV5BYQFlgWPBWoFOAULBOYEwgSXBGYEOwQkBCMELgQ4BDkENAQwBDEEMwQyBCoEHwQZBB4EKwQ8BEkEUgRbBGsEggSdBLcEzQTfBO0E+AT/BP8E+QTvBOYE4QTdBNkE0wTIBLsErgSfBI8EfQRqBFgESQQ7BCwEGwQHA+8D1AO2A5MDawNAAxgC9ALVArcClAJoAjUB/AHCAYwBWQEsAQYA5wDTAMoAyADKAMsAygDDALkArACgAJYAkgCTAJYAmwCdAJ4AnQCcAJsAlgCOAIEAdQBwAHYAiACiAMAA3QD5ARYBNwFcAYUBrgHTAe8CAAIHAgYCAAH3AekB1AGzAYYBUQEbAO0AzgC+ALwAwQDJANIA3ADpAPsBEwExAVIBcwGRAagBuAHFAdUB6gIGAicCRwJjAngChwKTAqICtwLSAvQDGQM/A2MDhwOqA8oD5gP3A/sD9wPzA/sEFgREBHwEsgTcBPsFFAUvBU8FcgWTBa0FwgXXBe8GDQYtBksGZgZ/BpkGtAbSBvAHDAcmB0AHWwd4B5QHrQfDB9MH3gfmB+0H9QgCCBMIJwg9CFMIZwh6CI8IpAi6CNAI5Aj5CQ4JJQk9CVcJbwmICaEJuwnVCewJ/woNChkKJAovCjoKQwpJCkwKTwpWCmEKbQp2CnsKfQp/CoYKkAqZCp4KnAqWCpMKlQqcCqIKoQqWCoUKdApoCmEKXApWCk0KQwo8CjkKNwozCiwKIQoVCgsKBAn9CfUJ6wnfCdMJyAm/CbgJsQmrCcYJvgm2CbAJrwm0CbwJvwm7CbAJoQmUCY8JjgmRCZMJmAmhCawJswmwCaEJjgmECY8JrgnRCeEJ0AmgCWYJPQk2CU8JdQmVCaIJoAmfCawJzgn9CisKSwpZClgKUApJCkoKUgpgCnQKjAqoCsgK7AsTCzkLXAt8C5kLtQvQC+kMAQwVDCgMOQxKDFwMbAx4DIAMhwyQDKAMtgzODOQM8wz7DQENCw0bDS8NQw1RDVcNVw1XDV0NbQ2DDZsNrA20DbMNrQ2qDa4NuA3EDdEN3Q3vDgcOJg5FDlkOYA5hDmkOgQ6pDtIO5Q7aDrYOkw6LDrAO+w9VD6EPzg/aD88PvA+sD6MPoA+lD7APwA/QD9oP3g/bD9kP3Q/qD/4QGBA2EFUQdRCSEKcQtBC8EMMQzxDjEP0RGRE1EVARaRF+EYwRkRGREY8RjxGTEZgRmhGXEZIRjRGKEYkRhhF9EXERZxFlEWoRdBF+EYURixGSEZ0RqhGzEbYRsxGuEaoRqRGpEacRoRGYEZARiBGAEXcRbhFmEWERYBFgEV8RXBFYEVQRUhFPEUgRPREtER0RDxEDEPcQ6RDaEMoQuxCsEJwQhxBtEFAQMhAXEAEP7g/eD84PvQ+pD5EPdA9WDzgPHQ8GDu4O1w7ADq0Oow6gDpwOkA52DlEOLg4cDikOWA6fDvAPPg99D6oPww/KD7wPmQ9kDyEO2w6eDncObA5+DqgO4w8lD2QPmw/FD98P6Q/gD8UPmA9dDxkO1Q6ZDm4OVg5PDlEOUg5ODkMOMg4dDgAN2g2pDXENOQ0HDOEMxAyrDJMMewxhDEcMKgwIC+ILvQufC4sLfgtxC1wLOwsRCuYKwQqiCoQKYgo5Cg4J5QnACaAJfwlbCTUJEAjuCM8IsgiUCHEITQgoCAQH4Qe9B5gHcgdMBycHAwbeBroGlQZxBk4GKgYEBdsFsAWHBWAFOwUZBPYE1ASyBJIEdARWBDUEEQPrA8UDoQN9A1sDOAMUAvACzAKmAoECWgI1AhEB7gHJAaEBdgFJAR0A9QDRAK4AigBkAD0AFv/v/8j/oP92/03/Jf8B/t7+u/6W/nD+S/4o/gj96P3J/aj9hv1k/UL9H/z7/NX8rfyG/GL8Qfwl/Ar78PvT+7P7j/tq+0T7IvsD+uf6zPqw+pX6efpe+kP6KPoL+e750Pm0+Zn5f/ll+Uv5Mvkb+QX47/jY+L/4p/iR+H34avhW+D/4KPgS9//38Pfi99T3xve597D3p/ee95H3gvd19233afdn92H3Uvc89yX3FPcK9wf3BfcA9vf27fbl9t722PbQ9sb2vfa39rf2u/bB9sb2x/bE9sH2vva99r72wvbH9s321fbe9uj28fb69wL3CfcP9xb3H/cq9zX3P/dH9033VPdd92j3dfeC9473nPer97z3zffc9+n39Pf/+A34HPgr+Dj4Q/hO+Fv4afh3+IX4kvie+Kv4uvjK+Nn45/j0+P35APj6+Ov41vjE+L34xPjY+PD5BfkS+Rn5Ivku+T35SvlO+Uv5RflF+U35W/ll+WT5Vfk8+SL5D/kD+P74/Pj5+Pj4/PkH+Rj5LPlB+VP5Yflq+Wv5Zvle+VX5UvlV+V35Zvls+W35bflt+XH5dfl3+XP5avlf+Vf5VflY+V35Yvll+Wn5bvl0+Xn5ffmA+YT5jfmb+a35wfnV+ej5/foU+i36R/pe+nP6iPqe+rf60frm+vT6+vr8+wP7F/s9+3T7t/v7/DL8TvxD/BH7wfts+zD7KPtc+8D8MvyP/L38vPyb/HL8VfxG/D78NPwk/BH8A/v//AT8C/wR/BT8F/wd/Cb8Lvwx/C38Jfwb/BP8DfwJ/AT7+vvp+9L7tPuW+3z7Z/tX+0b7L/sS+vX64PrX+tb60/rG+qv6ifpn+kn6LvoP+ev5wvme+YX5efl1+XL5bPlh+Vj5V/lm+Yb5s/nj+gb6Cfnk+Zr5PPjh+Jz4dfhk+Fz4VfhM+Ej4Tvhe+HL4gviL+I74kvia+KT4rPiw+LD4sPix+LP4sfir+KL4m/ia+J74o/im+Kf4qfit+LX4vvjE+MT4wvjB+MP4yfjQ+NT41vjW+NX41fjS+M/4zPjL+ND42/jo+PP4+vj6+PT47Pjh+Nf4z/jL+M341fjh+O348/jz+O745fjd+Nj41vjY+Nz44vjm+On46/jt+PH4+fkF+Rb5KPk8+U75Xvlr+Xb5fvmF+Yv5kvmY+Z35n/mf+Z/5ovmp+bH5uvnA+cH5v/m6+bL5p/mX+YP5bvle+Vb5WPlh+Wv5dfl9+YT5i/mO+Yz5gflu+Vb5Pvkp+Rn5D/kI+Qb5CPkM+Q/5D/kN+Qn5CfkQ+R75MflE+VP5WflY+U/5Q/k3+S75Kfko+Sb5IvkZ+Q/5B/kE+QX5B/kJ+Qn5CPkK+Q/5Fvkd+SL5J/kt+Tb5Q/lR+V35Z/lv+Xr5ifma+a35wPnR+eT59/oM+iH6NPpF+lX6Zvp5+o36ofqz+sT61Prl+vX7A/sP+xn7I/su+zv7SftX+2L7a/tz+337ifuX+6f7t/vF+9D72fvg++f77vv3/AD8CfwR/Bf8Hfwh/CX8KPws/DL8N/w9/ED8Qfw+/Dn8M/wt/Cb8IPwa/BX8FPwV/Bj8GvwZ/BP8Cfv/+/b78vvv++376vvl++D73Pva+9n72vva+9n71vvT+9D7zvvN+8770fvU+9j72/vd++D75vvs+/L79fv1+/T78vv0+/n8AfwL/BX8H/wr/Df8RPxP/Fj8Xvxi/Gf8bvx3/IT8lPym/Lj8x/zT/Nv84/zt/Pz9D/0i/TH9O/1A/UX9Sv1R/Vj9XP1e/WD9ZP1s/Xf9g/2O/Zf9of2t/bv9yv3Y/eb99f4I/h/+Of5U/m7+hf6a/q7+wf7U/ub+9/8H/xb/JP8z/0X/Xf94/5X/rv/A/83/2P/n//sAEgAnADkASABaAHIAjwCrAMMA1gDqAQMBIQE/AVkBbQGAAZcBswHQAeUB7wHzAf0CEQIrAj0COgIkAgcB9QH3Ag0CMQJnAr0DQAPpBJYFGQVQBUYFKgU8BZkGLQa3BvQGxgZLBcEFZAVIBVgFawVjBTwFCATbBLkEnAR5BFAEKgQUBA8EFQQbBBkEEwQQBBIEGAQbBBcEEQQRBB4ENQROBGIEbwR3BIQEmgS3BNYE8QUEBRAFFgUWBRIFCQUBBPoE+AT3BPQE7QTjBNYEywTABLQEpgSVBIIEcARfBFAEQQQvBBoEAQPiA78DmANwA0wDLAMOAu4CyAKbAmkCNgIGAdsBtgGVAXoBZQFYAVABSwFFATwBLgEcAQkA9wDpAN8A3ADfAOUA7ADvAO4A6gDmAOIA4ADfAN4A3gDjAPABBAEgAT8BXwF/AaEBxQHsAhQCOgJaAnECfQKBAn4CdwJsAloCPAIPAdQBkgFWASkBEgEPARkBJwE1AT4BRgFPAV0BcQGLAasBzgHvAgsCHQInAi0CNgJIAmICgwKkAsAC1ALiAvADAwMfA0EDZwOLA6wDygPpBAoEKgRFBFYEWgRXBFYEXQRyBJEEtgTbBP4FIQVGBWwFkAWvBccF2QXqBf0GFAYvBkoGZAZ9BpUGrgbHBuEG+wcVBzAHSwdmB4EHmwexB8UH1QfiB+4H+ggICBkIKwg9CE4IXwhxCIUImgiwCMII0wjkCPgJEAkuCU0JbAmHCaAJtgnLCeAJ8woEChMKHwopCjEKOAo9CkQKTgpbCmgKcgp4CnsKfQqCCosKlgqfCqMKogqgCqIKpwqtCq4KqQqeCpIKiAqECoEKfQp2CmwKYwpdCloKVwpRCkcKPAoxCioKJQogChkKDwoECfcJ6wnhCdkJ0gnNCekJ3AnOCcQJwQnHCdAJ1gnSCcUJtwmuCa8Jtwm/CcMJwgnBCcQJxgnCCbQJoAmPCYsJlQmiCaQJkQlvCU8JRQlZCYIJqwnDCcQJugm1CcQJ5goTCj0KWgppCmwKZwpdClEKSApJClgKeQqoCt0LEAs+C2ULiQusC88L7gwHDBsMKgw4DEkMWwxuDH8MiQyODJAMlAyfDLIMzAznDPwNCA0ODRINGg0nDTkNSg1WDVwNXw1lDXMNiA2fDbINuw27DbcNtQ26DcYN0w3fDekN9Q4JDiYOSA5iDm8ObQ5oDm0OhA6kDrwOvg6lDoQOdQ6NDs4PKA98D7QPyg/GD7oPrw+pD6UPoA+dD6MPsg/HD9gP3w/aD9IPzw/YD+0QChAqEEkQZxCEEJ8QtxDLENwQ7REBERgRMxFREXARjBGiEa8RshGvEasRqhGtEbIRtBGyEa4RqhGnEaYRohGaEZMRjhGREZsRpxGwEbQRtBG0EbURtxG3EbMRrRGmEaIRnxGcEZURjBGDEXsRdRFwEWkRXxFVEU0RShFLEU0RThFOEUwRShFFET0RMhEmERsREBEFEPcQ5BDPELkQpRCUEIIQbxBZEEEQKRATD/8P7A/cD80PvQ+qD5MPdw9ZDz0PJQ8RDv4O6Q7RDroOqQ6fDpgOjA51DlMOLw4WDhEOJw5TDooOww73DyAPPg9PD1APQA8gDvIOvg6MDmMOSg5FDlUOdw6oDuEPHA9QD3YPiA+ED2kPOQ77DroOgA5XDkIOQg5ODlwOZA5lDmAOWQ5QDkEOKA4BDc8Nlw1hDTENBwzgDLoMmAx7DGIMSQwqDAML1wuuC48LfQtyC2ILSAsjCvkK0QqvCo8KbgpICh4J9QnRCbEJkglyCU8JKgkGCOUIxAijCH8IWAgxCAwH6AfFB6EHfAdWBzEHDQbpBsQGnwZ6BlQGMAYLBeYFwAWaBXMFTQUoBQQE4wTEBKYEiARoBEUEIAP7A9cDtgOUA3IDTgMqAwYC4wK/ApkCcQJKAiMB/QHXAbABhgFaAS8BBgDgALwAmQB1AE8AJ////9X/rP+D/13/O/8a/vr+1/6x/ov+Z/5F/iT+Bf3k/cP9of2B/WD9Pf0Y/O/8xvyf/H38XvxC/Cf8C/vu+8/7rvuK+2b7Q/si+wX66/rS+rj6nfqA+mP6Rfon+gr57fnS+bf5nPmC+Wj5UPk5+SL5C/jx+Nf4vfim+JH4ffho+FD4Ofgj+BH4BPf59+734vfU98f3uvet96L3lveM94T3fvd39233XfdK9zb3J/cd9xf3E/cO9wb2/fb09uz25Pbb9tL2yvbF9sT2x/bL9s720PbR9s/2zPbJ9sf2yPbL9tH22fbi9uz29vcA9wn3Evca9yH3Kfcz9zz3RvdO91X3XPdk92/3fPeK95j3p/e398f31/fj9+339ff++An4F/gm+DP4QPhN+Fr4avh4+IX4j/iY+KD4q/i4+Mf41vjj+O348Pjs+N/4zPi7+LT4u/jN+OP49vkC+Qn5Evkf+TD5PvlE+UH5O/k7+UT5VPlg+WD5UPk0+Rj5A/j6+Pr4+/j6+Pb48/j1+P/5Evkq+UL5Vvlh+WD5VvlG+Tf5Lvku+TX5PflE+Uj5S/lR+Vj5X/lg+Vv5UvlK+Uj5TPlS+VX5U/lP+Uz5UPlX+V75Yflh+WP5a/l++Zf5sfnH+dn56fn7+hL6K/pC+lX6Zvp4+oz6oPqx+rz6wvrN+un7Hftp+8H8EvxL/F38Q/wC+6f7R/r9+t369Ps8+6P8C/xY/Hz8ePxd/Dv8IPwN/AH79fvo+9772fvY+9v73fvf++H75fvr++/77fvk+9f7yfvA+737vvu9+7b7pvuL+2j7Qvse+wH66frU+rv6nPp4+lf6P/ox+if6GvoD+eP5wfmj+Yz5d/lh+Ub5KfkQ+QL4/fj++QD4//j8+Pr4//kN+Sj5TPly+Y35jvls+Sr41/iI+E74L/gk+B34E/gG9/33//gO+CP4NvhD+E34V/hj+HD4evh++H/4fvh/+ID4ffh2+Gv4Yvhf+GL4Z/hr+G34cPh1+H74hfiJ+IX4fvh6+Hv4gviM+JT4l/iX+JX4lPiU+JP4kviT+Jn4oviv+Lv4xPjJ+Mr4x/jA+Lb4p/iX+Iv4hviK+JX4oviu+LX4uPi3+LT4sPit+Kv4qvir+K34sfi2+L74yPjW+OX49PkC+Q/5HPkq+Tf5Q/lN+Vb5Xflj+Wn5bflw+XL5dvl9+Yb5j/mY+Z75ofmk+ab5p/ml+Z35j/l++Wz5XPlQ+Un5SPlP+V35b/mC+Y/5k/mM+Xz5ZPlI+Sr5Dvj3+Of44vjl+O749/j/+QP5CfkR+R/5MvlF+Vb5X/le+VP5QPkt+R75F/kX+Rr5G/kW+Q35Avj7+Pj4+fj6+Pr4+/j++QT5C/kS+Rf5Gfkb+SH5Kvk1+T/5SvlV+WP5dfmL+aD5s/nF+df57PoC+hn6LvpB+lL6ZPp2+on6m/qs+rz6zPre+vH7A/sT+yD7Kvs1+0D7TPtY+2P7a/ty+3n7gvuO+5v7qfu2+8H7yvvS+9n74Pvn+/D7+fwB/Aj8D/wV/Br8H/wk/Cn8Lvwx/DP8M/wy/C/8K/wm/B/8GPwR/Az8CvwK/Av8C/wH+//79Pvo+9771vvR+837yfvG+8X7xvvG+8f7xvvF+8X7xfvG+8f7xvvE+8H7v/vA+8H7xPvH+8v70PvV+9r73vvg++D74fvl++z79Pv9/Ab8DvwY/CP8MPw+/En8UPxV/Fj8XPxl/HT8ifyi/Ln8zPzY/N/85fzu/Pz9DP0c/Sj9MP01/Tr9QP1G/Ur9Tf1O/VH9WP1i/W79eP2A/Yb9jv2a/aj9tv3E/dL94f30/gr+I/48/lT+av6A/pX+q/6//tL+4/7y/wH/D/8f/zL/Sv9m/4L/mf+q/7f/w//U/+oAAQAVACQAMQBCAFoAdwCVAK8AxADZAPMBEgEyAU0BYQFyAYYBngG5Ac8B3QHoAfYCCwIiAjACLAIWAfsB6QHoAfoCHgJZArsDSQP5BKUFHwVMBTcFFAUfBXUGAAaCBrsGkQYfBZ8FSQUuBTkFRQU0BQYEzgSgBIMEbwRXBDkEGgQFA/4EAAQDBAED/QP8BAEEBwQLBAoECwQUBCsETQRwBIkElwSeBKkEvQTZBPgFEAUcBR0FFAUIBPsE8QTuBPAE9wT9BQAE/QT1BO0E5gTiBN0E1gTJBLgEpgSVBIUEdQRiBEsELgQMA+YDwAObA3oDXgNFAykDCgLlAr0ClQJuAkoCKQIKAe8B2gHKAb8BswGkAZEBegFiAUsBNgElARkBEgERARUBGgEdARsBFQEPAQ4BFAEiATYBTgFnAYABmgG2AdUB9wIbAkICaQKPArACyQLZAt8C3QLWAswCwAKxApoCdgJDAgYBygGZAXsBdAF8AYsBmgGkAawBtQHCAdIB5AH6AhQCMwJVAnYCjwKaApgCkQKOApQCpgLAAtkC7wMAAxIDKgNIA2sDjgOsA8UD2wPzBBEEMwRVBG8EfwSGBIcEigSTBKQEvQTeBQYFNAVmBZYFvwXfBfUGAwYPBhoGKQY6Bk0GYgZ5BpMGrQbHBt8G9wcOByUHPAdUB2wHhQecB7IHxwfaB+sH/AgNCB4ILgg+CEwIWghpCHwIkQinCLoIzAjdCPEJCwkpCUoJagmGCZ8JtAnHCdoJ7Qn/Cg8KHQonCi0KMwo6CkYKVwppCngKgQqECoMKgwqHCo8KlwqdCp4KnQqeCqMKqgqvCq4KqgqjCqAKoAqjCqMKngqTCocKfQp2CnEKawpiClcKTgpHCkMKQAo7CjQKKwoiChkKEQoJCgIJ+wnzChAJ/QnnCdQJywnOCdkJ4wnmCeEJ2QnWCd0J6AnvCewJ4AnRCcgJxQnDCb0JrwmeCZIJjwmTCZYJlQmQCZAJnQm2CdMJ5gnpCeAJ2AndCfMKFgo6ClYKaApyCnYKdApqClwKUQpWCnUKrQrzCzYLbAuPC6gLwAvdC/8MHgw2DEQMTgxYDGYMeAyJDJQMmAyXDJkMowy2DNAM7Q0GDRgNIQ0lDSkNLw06DUYNUg1aDWENaQ13DYsNog23DcQNxw3FDcINxQ3PDd0N7A35DgUOFg4vDk0OaQ56DnwOdA5uDnUOhw6aDp4Oiw5rDlMOXQ6UDuwPSQ+QD7EPsw+nD6APog+oD6gPoA+WD5MPng+zD8cP0Q/QD8sPzw/fD/wQHRA8EFYQbhCIEKUQwxDfEPURCBEbETIRThFuEY4RqhG+EckRzRHNEc4R0hHYEd0R4BHeEdoR1RHREcwRxhG+EbkRuRHAEcwR1xHeEd8R2xHWEdERyxHDEbcRrBGjEZ4RnBGZEZIRiBF8EXMRbBFlEV0RUhFIEUARPRE/EUIRRBFDET8ROxE2ETERKxEkERsRDxEAEO0Q1hC9EKUQjxB7EGkQWBBGEDUQJBATEAIP7w/dD8sPuw+pD5QPeg9eD0IPKw8ZDwkO+A7kDs4Ouw6sDqEOlA6CDmgOSg4vDh4OGA4eDisOPA5RDmkOhA6fDrUOwA6+Dq8Olg54DlsORA43DjUOQA5UDnAOjg6sDscO3A7lDuIOzg6sDoIOXA5CDjsORg5aDmwOdQ5zDmsOYw5dDlcOSg40DhMN7A3BDZQNZA0tDPIMugyNDG4MWQxDDCQL+gvJC50LfAtnC1YLQwsnCwYK4wrCCqMKggpdCjQKCgnjCcIJowmFCWUJQgkeCPsI2AizCIwIYwg6CBMH7gfKB6UHgAdbBzcHFAbxBs0GpwZ/BlcGMAYMBesFygWpBYUFXgU4BRME8QTSBLQElQRyBE0EJwQEA+QDxQOnA4YDYwM/AxwC+ALUAq0ChAJZAi4CBgHgAbsBlAFsAUIBGgDzAM4AqgCHAGMAPAAT/+n/v/+X/3P/Uv8z/xP+8P7L/qf+hf5m/kf+J/4F/eL9v/2e/Xz9WP0x/Qn84fy+/J/8gvxl/EX8JPwE++X7xvum+4T7YftA+yP7C/r0+tz6wfqj+oP6ZPpG+in6Dfnx+dX5uvmf+YX5a/lS+Tn5IPkH+O341Pi8+KX4j/h4+GH4Sfg0+CP4F/gN+AT3+Pfp99n3yve+97b3r/en9573kveF93X3ZfdW90f3O/cw9yb3HvcV9w33Bfb99vT26vbh9tr21PbR9s/2zvbP9tD20PbQ9s72yvbE9r/2v/bE9s322Pbk9vD2+/cG9xL3HPck9yv3Mvc590L3TPdV9133Zvdv93r3h/eV96P3sPe+98v32Pfj9+339ff++Aj4FPgg+Cv4NvhC+E/4Xvht+Hv4hfiN+JX4nfio+LX4wvjP+Nr44fjg+Nb4xvi1+Kv4rvi9+NH44/jv+Pf5APkP+SH5Mfk5+Tb5Lvkr+TP5Q/lS+VX5Sfkv+RP5APj4+Pn4/Pj6+PP46vjl+Or4+vkS+Sz5Q/lQ+VL5SPk4+Sj5HPkY+Rr5H/kj+Sf5LPk0+T75RflG+UP5Pfk8+UD5SPlO+U35Rfk7+Tb5OflA+UX5RflB+UH5TPlj+YL5n/m0+cL5zvnf+fb6EPom+jX6PvpH+lX6afqA+pj6svrV+wj7UPul+/n8N/xP/Dr7/fuk+0L67vq5+rL62vso+4j74vwh/Dz8N/wf/AL76vvX+8v7wfu5+7T7sPut+6f7oPuZ+5f7mvuf+6H7m/uN+3r7avti+2P7aPtq+2L7TPsp+wD61/q0+pj6gPpl+kH6Ffnk+bn5mPmB+XD5XPlC+ST5CPjy+OT42PjL+Lv4qvid+Jb4lfiU+JP4kfiQ+JT4m/in+LX4xvjY+OP43/jE+JL4U/gZ9/H33/fa99f3z/fC97j3uPfE99f36ff4+AT4Efgh+DH4PPhC+EP4RPhG+En4SPhB+Df4LPgn+Cf4LPgw+DT4OPg9+EX4S/hL+EX4O/g0+DT4O/hF+E34UPhQ+E74T/hS+Ff4W/hh+Gf4b/h4+IH4ifiS+Jn4n/ih+Jr4i/h0+Fz4SfhA+EH4S/ha+Gv4e/iG+I34jviK+IT4f/h8+H34gfiJ+JP4n/is+Lj4w/jM+NT43vjr+Pn5CPkV+SD5KPkw+Tj5QPlH+Uz5UflW+V35Zflr+XH5dfl5+YD5ivmV+Zz5nPmS+X75ZPlJ+TL5JPki+Sz5PflT+Wf5dvmA+YL5fPlu+Vb5N/kW+Pj44/jX+NX42Pje+Ob47/j8+Q/5Jfk8+VD5W/lZ+Ur5MvkX+QH49/j5+QH5CfkM+Qn5Afj5+PX48vjx+PD48Pjz+Pn5AfkJ+Q35D/kR+RT5Gvkj+S35OPlF+VX5aPl9+ZH5pPm2+cn53vn1+g36I/o2+kf6Wfps+n/6kvqj+rL6wfrS+ub6+vsM+xv7KPs0+0D7TPtZ+2T7b/t4+4D7iPuR+5v7pfuw+7r7xPvN+9X73fvk++z79Pv8/AL8CPwN/BH8Ffwa/B38IPwh/CD8H/wd/Bv8GfwW/BH8DPwH/AT8A/wE/AX8BPwA+/j77/vk+9v70fvJ+8H7vPu6+7v7vfu/+7/7vfu6+7j7ufu8+777vfu6+7b7svuw+7H7s/u1+7f7uvu++8P7yPvM+9D71vvd++b77vv2+/z8APwF/A78Gfwm/DP8PfxD/Ef8TPxX/Gj8gPyc/Lb8y/za/OX87vz5/QX9Ev0c/SP9Jv0p/S39Mv02/Tj9OP04/T39Rv1T/V/9aP1u/XT9ff2J/Zf9pf2y/b79zf3f/fb+Dv4m/jz+Uf5n/n3+lP6q/r7+z/7f/u3++/8L/x7/Nf9Q/2v/g/+U/6H/rv+//9X/7AAAABAAHQAuAEYAZACDAJ8AtgDMAOYBBAEiAT0BUQFhAXMBiQGiAboBzgHhAfUCCwIgAikCIgIMAfIB3wHZAeICAAI7AqIDOwP1BKcFIwVOBTYFDwUSBV0F3QZYBpIGcgYOBZoFRwUlBSQFIQUEBNAElgRqBFQESQQ9BCgEDgP5A+4D7APuA+8D7wPxA/YD/AQABAIECQQaBDoEYwSLBKkEuQTDBNAE5wUFBSEFMQUvBR0E/wTgBMcEuQS5BMQE1wTrBPkFAQUCBQEFAQUCBQIE/wT3BOwE3gTQBMEEsASZBH0EWwQ0BAwD4wO+A58DhQNxA18DTgM7AyYDDALvAs4CqgKFAmMCRQItAhoCBgHxAdkBwQGqAZYBhQF3AWoBYAFcAV0BYQFjAWEBWgFTAVMBXgF3AZkBvwHjAgICGwI0Ak8CcAKYAsMC7QMRAysDNwM4Ay4DHQMIAvQC4QLMArECjgJhAjACBAHnAdsB3wHqAfMB9wH3AfsCBwIbAjECRgJXAmgCfgKcAr8C3gLvAu8C4wLXAtMC2wLsAv8DDwMdAy4DRwNpA5ADtAPQA+MD8wQEBBsENwRVBHAEhgSVBKEEqgSzBL4E0QTuBRkFTwWLBcMF8QYSBiYGMwY9BkYGTwZYBmIGbwaCBpsGtwbTBusG/wcQByEHNAdIB14HdgeNB6MHuAfLB90H7wgCCBUIKAg5CEkIVwhnCHgIjQijCLkIzwjkCPsJFAkvCUsJZwmBCZkJrgnCCdMJ4wnzCgIKEAobCiMKKwo2CkUKWQptCn0KhQqFCoMKggqFCosKkAqSCpIKkwqXCp4KpwqsCq0KrAqsCrIKuwrBCsEKuQqsCp4KkwqLCoMKeQptCmEKWgpXClUKUwpNCkYKQAo8CjoKOAo1Ci8KKAoeCjYKJAoMCfMJ4AnbCeAJ6QntCeoJ5AnjCeoJ9Qn7CfUJ4QnICbYJsAmzCbkJugm1Ca8JrQmyCbwJyAnVCeIJ8An7CgEJ/Qn1CfEJ+AoQCjEKUQpoCnMKdwp6Cn8KgQp9CncKeQqSCsgLFgtpC6wL0gvfC98L5Qv5DBgMNwxODFwMZQxvDH0MjQyZDJ4MnQydDKUMuAzVDPQNEQ0mDTINOQ0+DUMNSQ1PDVQNWg1gDWoNeA2LDaENtg3GDc8N0g3TDdQN2Q3iDe8N/Q4NDiEOOw5YDnQOhg6MDocOfw5/DogOlA6VDoEOWw41DikOSg6XDvoPVA+MD5wPkg+FD4QPkA+dD6APlg+GD38PhQ+WD6gPsw+4D78P0Q/vEBUQORBVEGoQfhCXELYQ2BD4ERIRJxE7EVMRcBGQEa4RxRHVEd4R5RHrEfMR/BIFEgsSDRIOEgwSCBICEfkR7xHmEeMR5xHyEf4SBhIHEgMR/BH2EfAR5xHbEcsRuhGtEaURohGeEZcRixF+EXERaBFfEVcRThFHEUQRRBFHEUkRRhFAETgRMhEvES0RKxElERkRCBD0EOAQzRC7EKkQlhCAEGgQUBA6ECgQGhAOEAAP7w/bD8cPtA+iD44Pdw9dD0MPLA8aDwwO/w7wDt8Ozg6/DrAOog6RDn8Oag5XDkQOMQ4fDg0N/w36DgIOFw41DlUObw5+Dn8Odg5mDlYOSQ5CDj4OOg4xDiQOFA4KDg0OIw5KDngOnw61DrQOow6ODoEOgg6NDpoOoA6cDo8Ofw5xDmQOVw5FDjEOHA4EDeYNuw1+DTAM3QyVDGQMSQw8DCwMDgviC7ALggtgC0kLNgsiCwoK7wrTCrgKmwp5ClMKKQoACdoJtwmWCXQJUQktCQgI4gi8CJQIawhCCBsH9QfQB6oHgwddBzkHFwb2BtMGrgaHBl8GOAYTBfIF0gWxBY8FagVFBSIFAQThBMEEnwR6BFQELwQNA+4D0QOzA5IDbwNLAycDAgLdArYCjQJhAjYCDQHmAcEBnAF2AU8BKAEBANsAuACVAHIATQAm//z/0/+s/4j/aP9I/yf/A/7f/r3+nv6B/mT+Q/4g/fv91/20/ZH9bP1E/R38+vzc/MH8pvyG/GL8PPwY+/f72fu7+5r7ePtY+zz7JfsQ+vj63fq/+p/6gfpk+kn6LPoP+fH51Pm5+Z/5hPlp+U/5Nfkc+QX47fjW+L74pfiM+HP4W/hG+DX4KPgd+BP4B/f49+j32ffP98n3xPe+97P3o/eR9373b/dj91n3TvdB9zP3JfcZ9w/3B/b+9vX26/bi9tv21/bU9tH2zfbK9sj2yPbG9sL2uvay9qz2rfa19sT21fbl9vP3APcM9xj3I/cs9zP3OfdB90n3U/dc92T3a/d093/3i/eY96T3rve498L3zffY9+T37/f6+AX4DvgX+B/4Jvgv+Dr4R/hV+GP4b/h6+IX4j/iZ+KP4rfi3+ML4y/jP+Mr4vfis+KD4n/ir+L740fjf+Of48Pj8+Q35Hfkm+ST5HfkY+R75LPk9+UX5P/kq+RH4+/jw+O747/jt+Ob43vja+N346vj++RX5Kvk2+Tn5Mfki+RD5Avj6+Pn4/fkD+Qn5Efka+SL5Kfkr+Sv5K/kt+TT5O/k++Tr5Mvkp+Sb5Kfku+S/5K/kl+Sf5NflP+W/5ivmd+aj5s/nF+d75+foN+hf6G/oi+jT6U/p8+qr62fsL+0L7fPuz+9z77Pve+7P7cvso+uL6rPqT+p/6z/sc+3L7vvvv+/778/va+8H7rvui+5v7lvuR+4v7g/t4+2v7W/tN+0X7Q/tF+0X7Pfst+xn7CfsA+wH7BvsI+v/66frH+qD6e/pc+kL6KPoG+df5nvli+Sz5BPjo+NL4vPij+Ir4dPhl+Fv4U/hJ+D/4N/gz+DL4Mvgu+Cf4Ifgg+Cb4L/g3+Dv4O/g6+Df4Lvga9/n30Peq95H3h/eG94f3gvd593H3c/d+9473n/es97n3x/fY9+n39vf9+AD4AvgH+Az4DvgK+AD39vfu9+337/fy9/X3+Pf9+AT4CfgJ+AX3/ff29/X3+fgA+Ab4CPgI+An4DfgV+B/4KPgw+Df4PfhD+En4UPhZ+GX4cfh5+Hv4cvhf+Ef4Lvga+A74CvgP+Bv4LPg++E74Wvhg+GL4Yvhh+GP4Zvhr+HH4ePiB+Iv4lfie+Kb4r/i6+Mb40/jf+On48vj8+Qj5Ffkh+Sr5MPk1+Tr5QPlE+Uj5SflL+VD5Wfln+XX5f/l/+XT5YPlI+TH5IPkW+RT5F/ke+Sf5NPlF+Vn5bPl4+Xn5bPlU+TX5Fvj7+OX41vjM+Mf4yPjS+OP4+/kW+S75PflB+Tb5H/kE+O343/jd+OP47Pjy+PT48vjv+O747fjs+Or46Pjp+Oz48vj4+P75AfkE+Qr5Evkd+Sn5NvlD+VH5Yvl0+YX5l/mp+bz50vnq+gH6Ffom+jX6Rvpa+m76g/qW+qb6tfrF+tb66fr7+wz7HPsq+zf7RftS+1/7bPt4+4P7jvuX+6D7qPux+7v7xfvP+9j74Pvo++/79vv8/AH8BfwH/An8C/wN/BD8EfwQ/A78C/wJ/Af8BfwC+//7/Pv5+/j7+fv7+/37/vv8+/j78vvr++P72fvO+8X7vvu7+7z7v/vB+8L7wPu9+7z7vPu++777vPu4+7T7sPuv+677rfus+6v7rPuv+7T7uvvB+8j7zvvW+9775/vt+/P79vv6+//8B/wR/Bv8Jfwt/DT8PfxK/F38dfyP/Kj8vvzQ/N/87fz6/Qf9EP0V/Rf9GP0b/R/9JP0n/Sf9Jf0k/Sn9Mv0//Uv9VP1b/WP9bf17/Yn9lv2f/an9tv3I/d/9+P4P/iX+Of5O/mX+fP6S/qX+tv7H/tb+5f71/wf/Hf83/1P/a/9//43/m/+s/8H/2P/uAAEAEgAlAD0AWgB4AJQAqwDAANcA8gENASYBPAFPAWQBfAGWAbAByAHeAfUCDAIeAiUCHgIKAfIB3gHRAdAB4QIUAnkDFAPUBI4FFgVOBUQFIwUkBWEFzAY2BmoGTwX5BZIFQwUcBQ4E/QTXBJ8EZgRABDAELgQrBB0EBgPwA+ID3gPgA+MD5gPpA+wD7wPyA/cEAgQZBD0EaQSTBLMEyATYBOwFCAUoBUIFTAVABR8E8gTEBKAEjASJBJgEsQTOBOgE/AUHBQ0FDgUOBQsFCAUEBP8E+gT0BOoE2gTCBKMEgARZBDEECQPkA8UDrAOcA5MDjgOKA4IDdANdAz4DGALvAscCowKEAmkCUAI3Ah8CCQH3AesB4QHbAdUB0gHTAdYB2wHdAdkB0AHFAcABxwHbAfkCGwI5AlACYQJwAoQCoQLHAvIDHQNCA1wDaQNpA1wDRQMoAwgC6QLMArACkgJyAlICOQIsAisCMwI7Aj0COAIyAjUCRQJgAn0CkgKeAqQCrQLBAtwC+AMMAxQDFQMZAyYDPANUA2UDbANtA3EDgwOjA8sD8gQRBCYENARCBFEEYwR3BIoEnQSwBMME0wTfBOgE9QUNBTUFbAWqBeQGEQYwBkMGUgZhBnAGewaCBoUGiwaXBqwGxgbhBvcHCAcUByEHMAdFB1wHdAeLB58HsAfAB88H4AfzCAgIHggzCEcIWghsCH4IkQinCL0I1QjtCQYJHQkzCUgJXQl0CYsJoQmzCcIJzgnZCeYJ9AoDChAKHAopCjcKSApaCmcKbgpwCm4KbwpzCnkKfwqDCoUKiQqRCp0KpwqvCrIKtQq7CsYK0grZCtcKywq8Cq4KpAqdCpUKiQp8CnEKagpoCmcKYwpcClUKUgpTClYKVwpUCk4KSApBClEKSgo5CiAKCAn3CfAJ7QnnCd0J0gnNCdMJ4AnrCekJ2Am/CakJoAmlCbQJwwnNCdMJ1wndCecJ9AoACgkKDAoKCgEJ+An0Cf0KFQo4ClwKdQp/Cn4KfAqACokKlAqcCqUKugrnCy4LgwvSDAYMGAwQDAMMAQwSDDAMTwxmDHQMfQyIDJYMowyrDKwMrAywDMAM2gz4DRQNKQ02DT8NRg1ODVUNWg1cDVwNXw1nDXYNiQ2fDbINwg3NDdUN3A3iDecN7Q3zDfwOCg4fDjwOXA56Do4Olg6VDpEOkg6bDqYOpw6SDmcOMw4PDhEORA6dDwEPUg98D4MPdg9rD20Peg+GD4cPfA9vD2gPbg98D4sPmA+kD7YP0w/5ECIQRRBeEHIQhhCjEMgQ7xESES0RQhFXEXARjhGuEckR3hHsEfYR/xIIEhASGBIdEiISJxItEjMSNxI2EjASJhIeEh0SJBIwEjkSPBI1EikSHRIUEg4SBxH7EesR1xHHEboRshGqEZ8RkhGDEXYRbBFlEV4RWBFTEVIRUxFUEVIRSxFBETgRMxEzETQRMhEnERQQ/RDnENgQ0hDPEMoQuxCgEHsQUxAvEBYQBw//D/YP6Q/XD8IPrA+XD4IPbA9UDzsPJQ8RDwIO9w7sDuIO1w7LDr4Orw6gDpEOhA53DmkOWA5BDikOEw4GDgYOFQ4uDkkOXg5qDmkOYA5TDkoORw5KDkwORA4qDf4NyQ2eDZENrg32DlgOvQ8KDy8PLg8UDvQO3A7TDtMO1Q7SDscOtQ6fDocObA5RDjkOKA4eDhIN9g3BDW8NDAytDGMMOQwoDCEMEwv1C8oLnAtzC1ULPQsoCxAK9grbCsAKpgqJCmgKQgoaCfEJygmkCYAJWgk0CQ0I5Qi9CJQIbAhFCCAH+wfXB7IHjAdmB0EHHQb7BtgGtQaRBmsGRQYfBfoF1gWzBZEFbwVPBS8FEATvBMwEqQSEBGAEPQQcA/wD3AO6A5cDcwNNAygDAgLcArYCjwJnAj8CFwHvAccBoQF7AVYBMAEKAOUAwACdAHoAVwAxAAr/4v+8/5r/ev9b/zv/GP70/tP+tP6W/nf+Vf4x/gv96P3F/aL9ff1X/TL9Evz3/N78w/yi/Hv8U/wt/Az77vvQ+7D7jvtu+1P7PPsm+w768frS+rT6mPp9+mL6Rfol+gb56fnP+bf5nfmC+WX5Svky+Rz5Bvjv+NT4uPid+IL4avhW+ET4Nvgq+CD4FfgI9/n36/fg99j30vfK9773rfea94n3fPdz92r3X/dQ9z73Lfce9xP3Cfb/9vX26/bi9tz22PbT9s72yfbE9sL2wfa/9rn2sPal9p/2ofat9r/20/bl9vT3AfcN9xn3JPct9zX3PfdG91D3Wvdi92j3bfdz93z3iPeU95/3p/eu97b3wPfM99n35ffw9/r4AvgJ+A/4Fvgd+Cb4Mfg8+En4Vfhi+HD4ffiI+JD4lfib+KT4rvi3+Ln4svil+Jj4lPid+K/4w/jS+Nv44fjp+Pf5BvkQ+RL5DvkK+Q75HPkt+Tn5N/kn+Q749Pji+Nj41vjV+NT41PjW+Nz45/j2+Qf5Fvkf+SD5FvkF+PD43/jV+NX43Pjn+PL4+/kC+Qj5DPkQ+RL5FPkX+Rv5Hvkf+R75HPkb+Rz5H/kg+R35F/kT+Rj5KPlA+Vr5b/l9+Yj5l/mu+cn54vnz+f36B/oZ+jv6a/qk+t37D/s4+1b7aPts+1/7Q/sb+u76wfqZ+nn6Zfpk+n76tPr++0z7ivuq+6v7lvt6+2b7Xftd+2D7X/tZ+0/7Qvs1+yX7FPsD+vf67/rr+ub63vrQ+r/6r/qk+qD6n/qd+pT6gfpn+kj6K/oR+fb51vmp+W/5K/jn+K74hPhp+FP4P/go+BH3//fz9+r34vfY98/3yffJ98z3zffI9773tPew97P3u/e/9773tvet96T3mveN93n3X/dG9zT3Lfct9y33Kvcl9yP3J/c090X3Vfdj93D3f/eQ96D3rfe097j3u/fB98n3zvfO98j3v/e397L3sfex97H3sfez97f3vffC98T3wvfA97/3wPfB98P3xPfF98r30/fe9+n38/f7+AH4BvgM+BL4Gvgj+C/4PfhJ+FH4UvhL+D34LPgX+AP38Pfj99z33/fr9/z4EPgj+DT4QfhM+FP4WPhY+Ff4WPhb+GP4bfh4+IH4ifiR+Jn4oviq+LP4vPjI+Nb45vj2+QP5DPkT+Rn5H/kl+Sn5Kvkp+Sf5Kfkw+Tr5RflN+VD5TflG+T75Nfks+SH5FPkG+Pv4+PkC+Rf5NPlR+Wj5cvlv+WH5TPkz+Rn4/vjk+M34vPi0+Lb4wvjV+Or4/fkJ+Qv5A/j0+OX42fjT+NH40vjS+NP41PjX+N344vjl+OX44vjg+OH44/jn+Or47/j0+Pz5CPkV+SP5Mfk/+U35XPls+X35jvmh+bb5zPni+fb6B/oW+iT6NPpG+lv6cPqD+pT6pPq0+sT61vro+vr7C/sb+yv7OftF+1L7Xvts+3r7iPuU+577p/ux+7r7xfvO+9f73/vl++z78vv4+/z7/fv9+/37/vwA/AL8BPwD/AD7/fv6+/j79vv0+/H77vvr++n76vvs++778fvy+/L78Pvr++T72/vQ+8b7v/u7+7v7vfu/+8H7wvvD+8X7x/vI+8f7xfvD+8D7vvu8+7n7s/ut+6j7pvup+6/7tvu8+8H7xfvK+9D72fvj++z79Pv6/AD8BPwJ/A38EvwZ/CL8Lvw+/FL8afx//JX8qfy7/Mz83Pzs/Pj9AP0D/QX9B/0M/RP9Gv0c/Rv9F/0U/Rf9IP0s/Tf9QP1I/VH9XP1r/Xj9g/2M/ZX9ov20/cv94/36/g/+Iv43/kz+Yf51/of+mP6p/rr+y/7d/u//BP8d/zn/U/9q/3z/jP+c/7D/yP/g//YACwAhADkAUwBuAIcAnQCwAMQA2QDxAQkBIQE6AVUBcgGQAawBxQHcAfICBwIXAh4CGgILAfgB5QHUAckBzQHyAkoC2wOXBFgE8QVFBVoFUgVYBYcF1gYgBj0GHAXMBXAFKAUBBO0E1QSrBHIEOwQYBAsEDQQOBAUD8wPgA9UD0wPYA98D4wPlA+UD5APlA+oD+AQTBDkEZwSTBLUEzwTjBPoFFgU1BU4FWAVNBS8FBQTYBLIEmQSQBJcEqwTEBN8E9AUBBQUFAQT4BO4E6ATmBOkE7gTyBO4E4QTLBLAEkgRzBFQENAQVA/gD4gPUA80DywPJA8ADsAOYA3kDVgMwAwsC5gLEAqUCiQJvAlgCRQI2Ai0CKgIrAjACOQJEAk8CVwJZAlICQwIxAiICHAIgAi0CPgJOAlkCYAJoAnQCigKpAs4C9gMeA0EDXQNtA20DWwM7AxEC5gLAAqICiwJ5AmoCXwJcAmECagJxAnMCcAJvAncCjAKrAsoC3wLoAucC5gLrAvcDBAMPAxkDKQNIA3gDrwPgA/wD/wPxA+ID4gP1BBcEPgRgBHgEiASUBKAEqwS2BMEEzwThBPUFBwUTBRoFIgU1BVgFigXDBfgGIQY9BlIGZwZ+BpUGpwavBq8GrgayBsAG1QbsBv8HDAcXByMHNAdKB2QHfQeUB6cHtwfFB9QH5Af2CAkIHggzCEkIXwh1CIkInAivCMII1wjtCQMJFwkpCTsJTQljCXoJkAmhCawJswm5CcQJ0wnmCfcKBgoRChwKJwozCj4KRApICkoKTwpXCmEKagpyCnkKggqOCpwKqQqxCrcKvQrGCtQK4QroCuMK1grHCroKsgqtCqYKnAqQCoYKgQp/CnwKdgpuCmYKYwpkCmUKYwpdClUKUQpRClsKYApaCkcKLwoXCgQJ9gnnCdcJyQnDCckJ2QnqCe8J5QnPCbgJqgmrCbkJywncCecJ7gnzCfgJ/goECgcKCAoECf4J+woAChAKKwpICmEKbwpzCnQKegqJCp8KtwrOCucLDAtDC4wL2AwWDDcMPAwyDCoMMQxKDGoMhwyaDKMMqgyyDLwMxgzLDM4M0wzeDPINCg0gDS8NNw08DUINTA1YDWENZQ1lDWQNag13DYwNpA24DcYNzw3VDdwN5Q3vDfgN/g4EDg4OHw46DlkOdw6MDpYOlw6YDp4OrQ6+DsQOsw6HDksOFA37DhIOVg60DxIPVA9zD3MPZg9cD1sPYQ9mD2MPWw9UD1UPXg9uD30PjQ+eD7cP2BAAECUQQxBaEHAQixCvENoRBBEnEUERVRFoEYERnhG+EdoR8RICEg8SGRIgEiUSJxInEigSLxI9Ek4SXhJoEmkSZBJfEl8SZhJvEnUSchJmElMSQRI0Ei0SJxIeEhAR/xHtEd0RzhHAEbARoRGTEYkRghF9EXURbBFiEVkRUxFPEUoRQxE7ETcRNxE8ET4ROREpEQ8Q8hDdENYQ2xDkEOYQ1xC0EIQQUBAjEAUP9w/xD+0P5Q/UD74PpQ+MD3QPXA9EDywPFg8BDu8O4g7YDtEOzA7GDr4Osw6nDpsOkA6FDnoObA5cDksOPQ41DjYOPw5MDlgOYA5fDlcOSg48DjQONQ48DkEOOg4eDesNrg17DWsNjQ3jDloO1w88D3QPfA9hDzYPDQ7yDuUO4w7jDuIO2w7MDrMOkg5rDkcOLg4jDh8OFg31DbUNWgz0DJkMWQw2DCYMGgwGC+cLwAuaC3gLWgs9Cx8K/greCr8KogqGCmcKRAoeCfUJzgmoCYQJXwk6CRII6Qi+CJMIaghDCB8H/AfaB7kHlgdzB04HKQcDBt4GuQaVBnEGTQYmBf8F2AWzBZEFdAVZBT4FHwT8BNYErwSMBGsETAQtBAwD6QPDA50DeANSAysDBALcArUCkQJtAkkCIwH7AdEBqQGDAV8BPAEYAPIAzACnAIMAYAA8ABb/8P/M/6v/jf9w/1H/MP8N/ur+yf6o/of+Y/4//hr9+P3X/bb9lP1v/Uz9Lf0S/Pj82/y4/JH8afxE/CT8Bvvo+8f7pvuG+2v7VPs9+yL7BPrl+sj6rfqU+nn6Wvo6+hr5/vnm+dD5t/mb+Xz5XvlE+S75GPj/+OP4xfin+I34dvhi+FH4Q/g3+C34JPga+A74APfz9+b33PfR98T3tPek95b3jPeE93v3b/df90z3Ovcq9x33EvcH9vz28vbq9uT23vbY9tD2yfbE9sP2w/bB9rr2r/ak9p/2o/aw9sP21/bn9vT2//cK9xX3IPcp9zH3OvdF91H3XPdl92r3bfdy93r3hfeR95v3o/ep97H3uvfF99D32vfi9+r38ff4+AD4CPgQ+Bn4Ivgr+DP4PfhJ+Ff4Zvhz+Hv4f/iC+Ij4lPii+Kz4rPij+Jf4j/iS+KH4tPjF+M/41fja+OT48vj++QT5BPkC+QX5EPkh+S75Mfkk+Qv47fjU+MP4vfi++MT4y/jU+N346Pj0+QD5CvkQ+Q75Avju+Nf4xPi7+L34yPjW+OH45/jq+Oz47/j0+Pj4+vj5+Pf49fj2+Pv5A/kL+RL5FPkR+Qz5CPkJ+RH5IPkw+T75SflT+WL5ePmT+a/5x/nZ+ev6BPop+lv6lPrI+vL7C/sW+xL7APrg+rX6hvpa+jf6H/oO+gT6AfoO+jD6bPq3+wD7M/tE+zf7G/sA+vP69/sD+wz7DPsE+vf66vrd+tL6xfq3+qn6nPqT+oz6hPp7+m76YfpT+kj6Pfoz+ib6F/oE+fD52vnC+aT5evlB+Pr4r/hp+DH4DPf19+T30ve896f3lveM94b3f/d292z3Zvdl92j3avdm91z3UPdI90X3RvdH90P3O/cy9yv3Jfcd9w/2/fbq9tv20/bR9tH20PbP9tH22fbn9vr3DPcc9yr3OPdH91b3Yfdo92z3cPd494H3iveP94/3ifeC93v3dfdw92v3Z/dl92j3bvd393/3hveK94v3iveI94b3hveJ95H3nPem96/3tve798D3x/fQ99r35ffv9/v4B/gU+B/4J/gs+C34KPge+Az39Pfa98L3s/eu97T3w/fY9/H4Cvgg+DP4PvhC+EH4QPhB+Eb4TvhW+Fz4YPhj+Gj4b/h4+IH4i/iX+KX4tfjG+NT44Pjp+PL4+vkD+Qv5EPkQ+Qz5CPkG+Qj5D/kZ+SP5Lfk2+T35Qfk++TX5JPkN+Pb45Pjc+OH48fkH+R75Mvk/+Uf5SvlI+T/5L/kY+Pv43PjA+Kv4n/id+KP4r/i++Mr41PjY+Nr42PjU+M/4yPjC+L74vfjC+Mr40vjY+Nr42vjZ+Nn42/jd+OD45Pjp+PD4+vkH+RT5Ivkx+UH5Uvll+Xj5jPmf+bL5xfnX+ej5+PoG+hX6Jvo5+kz6X/px+oH6kfqh+rH6wvrT+uX69/sJ+xn7J/sz+z77SftW+2T7c/uC+5D7nPun+7L7vfvG+8371Pva++H75/vt+/D78fvx+/H78vv1+/j7+vv5+/f79Pvx+/D77/vt++v75/vi+9772/va+9v73fvf++H74fvf+9n70fvI+8D7uvu1+7P7sfux+7L7tfu6+7/7xPvH+8n7yfvL+8z7zfvL+8X7vPuy+6v7qfur+7D7tPu2+7f7t/u6+8H7zPva++n79/wD/Av8D/wQ/A/8DvwQ/Bf8JPw0/Ej8XPxw/IL8k/yk/LT8w/zS/N385vzr/PD89vz+/Qf9Df0P/Qz9B/0E/Qf9EP0b/Sb9Lv01/T39SP1V/WL9bf14/YP9kv2l/bv90f3m/fn+DP4g/jT+R/5Y/mf+d/6I/pv+r/7D/tf+7P8D/x7/Ov9T/2n/e/+N/6H/uP/R/+oAAgAZAC8ARwBfAHYAiwCeALEAxADXAO0BBgEiAUEBZAGFAaMBvQHUAeoB/QINAhUCFAIMAgAB8AHeAcwBxQHaAh8CnwNPBBEEugUvBWoFgQWUBbcF5gYKBgkF2gWKBTYE9wTUBL8EpgR8BEYEEQPtA94D3APcA9YDygPBA78DxwPUA98D5gPnA+QD4APgA+YD9gQTBDwEawSYBL4E2QTuBQIFGQUzBUsFWwVcBU8FNwUZBP0E5gTXBNEE1ATcBOUE7ATuBOgE2wTKBLsEswS0BL4EywTUBNQEygS5BKUEkwSCBHEEXQRGBC4EGgQMBAQD/QPxA94DxAOmA4YDZwNHAyYDBALhAsACowKLAngCaAJcAlMCTwJSAlwCbAJ+ApACmwKeApUChAJtAlUCQQI0Ai8CLgIwAjMCNgI8AkUCVAJqAoUCqALQAv0DKQNLA1wDVQM3AwgC1QKqAo0CfwJ6AnoCfAKBAokClAKfAqcCrAKzAsAC2AL3AxcDMAM+A0IDQgNAAzwDNgMtAysDPANpA7QEDQReBJAEnQSMBHAEXQReBHIEkAStBMQE1QThBOsE9AT8BQMFDQUbBSsFOQVDBUgFTgVdBXsFpgXXBgcGLQZNBmkGhgakBr8G0QbXBtQGzwbPBtgG6Ab6BwkHFQcgBy0HQAdYB3EHigegB7MHxQfXB+gH+ggKCBkIKAg4CEsIYAh4CI8IpAi2CMUI1QjlCPUJBgkWCSYJOglQCWkJgAmRCZoJngmhCakJtwnKCdsJ6QnxCfgJ/woIChIKGwojCioKNApBCk8KXQpqCnQKfwqLCpgKpAqsCrIKugrGCtcK5wrwCu8K5ArWCsoKwwq9CrYKrQqjCpwKmAqWCpIKiwqACncKcQpvCm0KZgpbClEKTQpSClgKXgpdClAKPAonChUKBwn7Ce8J5wnlCe4J/QoMChEKCAn0CdwJyQnDCckJ1QniCesJ8Qn0CfYJ+gn/CgUKCQoMCg8KFAodCisKOwpLClgKYQppCncKjQqsCs8K8gsUCzgLZQueC9wMFAw8DE0MTwxPDFkMcgyVDLYMzQzYDNwM3gzjDOoM8Qz3DP8NCw0eDTQNRw1RDVINTw1PDVYNYw1xDXsNfw1/DYINjA2gDbgNzw3fDeYN6A3pDe0N9A3+DgcOEQ4bDisOQQ5aDnMOhQ6NDpAOkw6fDrUO0A7fDtUOrA5rDicN+w36DikOfA7bDy0PXw9xD2wPXg9SD0sPSA9EDz8PPA8+D0cPVQ9mD3cPig+hD78P4hAGECcQQhBaEHYQmRDDEPARGhE6EVERYxF2EY4RqhHJEeYR/xITEiQSMRI8EkMSSBJKEk0SVBJhEnISghKNEpESjRKHEoMShBKIEosSiBJ/EnASYhJWElASSxJGEjsSLRIaEgUR7xHZEcURtRGpEaMRnxGZEY0RfBFnEVURRhE8ETURLxErESsRMBE4ET0RNxElEQkQ7BDYENIQ2BDgEN4QyxClEHQQQxAcEAMP9w/yD+0P4g/RD7oPnw+DD2cPTA8zDxwPBQ7wDt0OzA6+DrQOrw6rDqkOpQ6fDpcOjA6ADnMOZQ5ZDlEOTA5LDk0OTg5ODkwORw5ADjYOKw4hDhoOGA4aDhsOEg36DdMNpQ2ADXYNkw3WDjQOmA7sDyMPOA8xDxgO+w7gDs0OxA7DDskO0g7WDs8OuA6TDmkORA4vDigOKA4eDfoNug1kDQgMtgx3DEwMLAwQC/ALzgurC4oLawtMCywLCgroCscKpwqICmUKPwoWCesJwwmeCX0JXQk8CRcI7wjECJgIbQhFCB4H+wfaB7oHmwd7B1gHMwcLBuIGuQaTBm4GSgYmBgAF2wW4BZsFggVrBVAFMAUJBN4EtQSRBHMEVwQ6BBgD8wPMA6YDgQNdAzcDDwLlAr0CmAJ2AlQCMAIIAd4BtQGQAW4BTgErAQUA3QC2AJEAbwBMACkABf/i/8H/ov+F/2f/Rv8j/v/+2/64/pb+c/5P/iz+C/3s/cz9q/2J/Wj9Sv0u/RL88vzO/Kf8gPxd/D38H/wA++D7vvug+4X7bftV+zn7G/r7+t/6xfqs+pH6cvpR+jL6GPoB+ev50Pmx+Y/5bvlS+Tv5JPkK+O34z/ix+Jj4g/hx+GH4UvhG+Dz4M/gr+CD4EvgD9/P35ffY98r3vPev96P3mveR94j3e/dr91r3Sfc69y33IfcW9wv3Afb59vL26vbg9tX2zPbH9sb2xfbC9rr2r/al9qL2qfa59sv23Pbq9vT2/vcJ9xT3Hfcl9y33NPc/90v3V/dg92f3bPdy93r3hPeN95X3nPei96r3tPe998X3zPfR99f33vfm9+/3+fgC+Av4FPgb+CH4J/gw+D34Tfhc+GX4afhr+HD4fPiO+J/4p/ij+Jb4ifiG+I/4oPiy+MD4x/jN+Nb44/jx+Pn4+/j5+Pn5AfkP+R75JPkb+QX45vjJ+LT4qviq+LD4ufjD+M342Pjk+O/4+fj++Pr47vja+MT4svir+K/4uvjG+M74z/jO+M740/ja+OD44Pja+ND4yfjJ+NH43/jt+Pb4+Pj2+PT4+PkB+Qz5Fvkb+Rz5Hvkm+Tj5Uvlv+Yr5ovm8+d76C/pC+nf6ofq2+rb6qPqT+nv6YPpC+h/5+/nb+cP5sPmh+ZP5jfmZ+b/6AfpP+pf6w/rM+rn6m/qG+oL6jvqe+qn6qPqf+pP6ifqB+nr6b/pi+lP6Rvo9+jf6M/ot+iX6GfoJ+ff54/nP+bz5qvmZ+Yn5dvle+Tr5CPjG+Hn4Kvfm97T3lveG93r3avdW90H3Mfcq9yj3J/ci9xn3D/cK9wr3C/cK9wP29/br9uL23PbY9tL2zPbG9sL2v/a69rD2ofaR9oP2fPZ59nr2fPZ+9oP2jfac9q72wfbS9uD27vb89wj3E/ca9x/3JPct9zj3RPdO91L3UvdN90X3PPcz9yr3I/cf9x/3JPct9zn3RfdP91X3VvdT91D3T/dT91r3Y/ds93H3dPd39333h/eU96L3sPe898j31Pff9+v39ff/+An4D/gR+Az3/ffm98v3sfec94/3jfeU96T3u/fW9/D4BvgW+CD4KPgu+DX4Ofg7+Dr4N/g2+Dn4QvhN+Fn4ZPhu+Hn4hviV+KT4sPi7+MT4z/ja+Ob47/jz+PP48Pjr+On46vjw+Pj5A/kQ+Rv5Jfks+Sz5JfkX+QP47/jc+M/4yPjI+M742Pjn+Pn5Dfkh+TH5Ofk1+SX5C/jq+Mn4q/iU+Ib4gviG+JD4nvit+Lv4xfjK+Mv4x/jB+L34vPi++MP4yfjM+M74zvjQ+NL41/jb+OD45Pjo+O349Pj9+Qf5FPki+TT5SPle+XT5ifmc+az5u/nI+db55Pn1+gf6G/ov+kP6VPpl+nT6g/qS+qL6sfrA+s/64Prw+wH7D/sc+yb7Mfs8+0n7WPto+3f7hvuU+6H7rfu3+7/7x/vO+9X73Pvh++X75/vn++j76/vu+/H78vvx++776/vo++j76Pvn++X74vvc+9b70PvL+8n7yPvK+8z7zPvK+8X7v/u5+7P7rvuq+6T7n/ua+5j7mvug+6f7rfuy+7X7ufu9+8P7xvvG+8H7uvuz+677rvuv+7D7r/ut+6r7qvuu+7f7xPvU++X79vwG/BL8Gvwc/Br8F/wW/Bn8Ifwt/D38Tvxf/G/8fvyM/Jr8qPy1/MH8y/zT/Nz85Pzt/Pb8+vz7/Pj89Pzz/Pn9A/0P/Rr9If0n/Sz9NP0//Uv9WP1m/XT9hf2Y/av9vv3Q/eL99f4J/h3+Lv49/kn+Vv5l/nr+kP6n/r3+0v7q/wP/Hv85/1H/Zf94/43/pf+//9n/8gAKACAANwBOAGUAfACSAKUAuADKAN0A8wEOAS4BUQF0AZUBsgHMAeMB9wIHAhACEgIQAgkB/QHrAdUBxAHLAf8CbgMRA88EggULBWAFiwWkBboF0QXZBcUFjwVEBPkEwQSeBIgEbwRKBBoD7APKA7gDsQOtA6gDpAOlA68DwAPTA+ID6QPpA+UD4gPjA+sD/QQbBEMEcgSgBMcE4wT2BQYFGAUuBUcFXQVrBW8FaQVdBU4FPwUxBSMFFAUFBPUE5QTVBMMEsASeBJEEjASQBJsEqASxBLIEqwShBJgEkgSOBIcEeQRlBE4EOQQpBB0EEAP8A98DvAOZA3kDXANBAyIDAALcAroCnwKNAoECeQJwAmgCYgJiAmoCegKMAp4CqgKuAqgCmgKFAmsCUAI3AiMCFgIPAg4CEQIYAiECKwI6AkwCZgKIArIC3wMHAx4DHgMEAtgCpwJ/AmgCZAJsAnoChwKVAqICsQLAAswC1QLfAu4DBwMoA00DbwOKA50DpwOqA6IDkAN4A2YDagOTA+MESgSyBP8FIwUhBQkE7wTiBOYE9gULBR0FKwU3BUAFSAVOBVIFVQVZBV4FYwVmBWkFbwV8BZMFtQXeBgsGNwZjBowGswbSBuYG7gbqBuQG4AblBvEHAQcRBx0HJwczB0IHVQdrB4IHlwepB7wHzwfiB/YICQgZCCUILwg6CEkIXAhzCIsIogi0CMMI0AjbCOcI9AkBCREJJAk7CVYJbgmBCYwJkAmSCZgJowmyCcAJywnRCdcJ3gnpCfcKBAoRCh0KKwo8Ck8KYApvCnoKhAqNCpYKngqkCqkKsQq+CtEK5Qr0CvkK9grsCuEK1wrPCsYKvAqzCqwKqAqmCqEKmQqNCoMKewp4CnQKbQphClQKTgpQCk4KTwpMCkQKOAoqCiEKHAobChsKHQohCigKLwozCjAKJAoQCfoJ6QnhCeAJ5QnsCfEJ9Qn4CfwKAQoICg8KFwodCiUKLQo3CkIKTQpXCmIKbwqDCp8KxArtCxYLOwtfC4QLrwveDAwMLwxCDEkMTQxZDHMMlwy9DNsM6wzxDPQM+A0ADQoNEw0dDSoNPQ1VDW0Nfg2FDYMNfw2BDYoNmQ2mDa8Nsg21Db0NzA3hDfcOBw4QDhIOEA4ODg4OEQ4XDh8OKg46Dk4OYw52DoAOgw6BDoUOlA6yDtYO8A7wDs0Oig49DgAN6g4GDk0OqQ8BD0IPYg9oD10PTA88DzAPKQ8kDyQPKQ8yDz8PTg9eD3APhw+kD8YP6xAOEC0QSRBnEIkQsBDbEQURKhFIEV8RdBGKEaIRvhHbEfYSDRIiEjUSShJiEn0SmBKuErsSvxK7ErQSrBKlEp0SkhKFEngSbxJrEmwSbhJvEm8SbBJrEmwSbRJtEmYSVxJAEiQSBRHoEdARvxG0Ea4RpxGdEYwRdxFhEU8RQhE5ES8RJREbERURFREaESARIBEVEQAQ6RDXEM4QzBDJEL4QphCFEGAQPxAmEBYQCg/+D+8P3A/GD68Plg97D18PQw8oDxAO+g7lDtEOvQ6qDpoOjg6HDoQOhA6DDoAOeA5sDlwOTQ5BDjsOOg46DjkOMw4oDh0OEw4MDgkOBg4DDf0N9w3wDegN2w3HDa4NlQ2EDYANjg2sDdYOBg44DmgOlA64DtAO2g7VDsUOsw6pDqsOuQ7LDtgO1Q6+DpgObw5PDj4OOg44DisOBw3JDXkNIQzMDIEMQwwOC+ALuAuUC3ULWQtACygLEAr3CtwKvwqdCnYKSgobCesJvgmXCXQJVAk1CRMI7gjGCJ0IdAhMCCUIAAfbB7gHlwd2B1UHMgcLBuIGuAaPBmkGRgYlBgUF5QXHBa0FlgV+BWIFPwUVBOgEvASXBHgEXAQ/BB0D9wPQA6sDiQNnA0MDGwLxAsgCogJ/Al0COgISAekBwQGeAX4BXgE8ARYA7QDFAKEAfwBgAD8AHP/5/9b/tv+X/3f/Vf8x/wz+6P7G/qX+hP5j/kL+If4B/eD9v/2e/X/9Y/1H/Sv9C/zm/L/8mfx1/FX8N/wX+/b71fu3+537hPtr+0/7MfsR+vT62frA+qX6h/po+kv6MfoZ+gD54/nB+Z35e/lf+Ub5MPkX+Pr43fjA+Kj4lfiE+HX4Z/hZ+E34Qvg3+Cr4G/gL9/v37Pfe99D3w/e396z3o/ea94/3gvdz92P3VfdH9zv3L/cj9xj3D/cH9v728vbk9tb2y/bE9sL2wfa89rL2p/ag9qH2rPa99s/23vbp9vH2+/cH9xP3Hfck9yn3L/c390D3SvdT91v3Yvdq93P3e/eB94b3iveQ95n3over97L3uPe998T3zffW99/35vft9/X3/fgF+Av4EfgY+CP4MvhB+Ev4UPhR+FT4X/hz+In4mPia+I/4gPh3+Hv4ific+Kz4tvi++Mf41Pji+Oz47/jt+Or47vj6+Qj5EPkL+Pj42vi7+KP4lfiQ+JH4lvid+Kf4s/jA+M742Pjd+Nn4zvi9+Kv4nfiX+Jv4o/is+LH4s/i0+Lf4v/jJ+M/4zPjB+LD4o/id+KL4rvi6+MP4x/jK+NL44fjy+QD5BvkE+P34+vkA+Q/5JPk7+VL5bfmW+c76D/pM+nP6efpf+jL6A/ng+c35xfnA+bf5qvmZ+YX5bflR+TT5I/kq+VP5mPnp+i/6Vvpb+kj6L/oi+iT6Mfo/+kf6R/pE+kD6Pfo4+i36HfoL+fr58Pns+ev56/no+eD50/nB+av5kvl3+V35RPkt+Rf4/vje+LP4fPg59+73pvdp9z/3KPce9xf3C/b69ub22PbS9tT21/bW9s72w/a49rP2sfaw9qv2ofaV9oj2fvZ29m/2afZl9mL2YPZc9lX2SvY+9jP2LfYs9i72MvY19jr2Q/ZP9mD2cfaC9pH2n/as9rn2xPbN9tT22/bk9u/2+/cH9w/3EvcP9wj2//b29u726Pbk9uP25fbs9vb3A/cQ9xv3Ifci9yD3H/ch9yf3Lfcz9zb3Ofc990T3T/dd92z3e/eI95X3ofet97n3w/fN99f34vft9/T39Pfs99z3xPeq95D3evds92n3cveE95z3tvfQ9+f3+/gN+Bz4Jfgo+CX4H/gb+B34I/gu+Dj4QfhJ+FL4Xfhq+Hj4hPiO+Jb4n/iq+Lb4wvjM+NH40vjR+M/4z/jQ+NT42Pje+OX47fj3+QD5BvkI+QP4+Pjp+Nj4yPi7+LP4sfi1+L/40Pjl+Pv5Dvkb+R35FvkF+O741Pi6+KP4kPiC+Hv4e/iB+Iv4l/ij+Kz4s/i4+Lz4wPjE+Mb4yPjH+MX4xPjF+Mn4z/jW+Nz44/jp+O/49vj9+QX5D/kc+Sz5QPlW+W35gvmU+aT5sPm7+cf51Pnl+fj6Dvok+jn6S/pc+mv6evqJ+pf6pPqw+r36yvrY+uf69vsD+xD7HPso+zT7QvtQ+1/7bvt++437m/un+7H7uvvD+8v70vvY+9z73vvg++P75vvp++r76fvn++P74Pve+9373fvd+9v72PvU+877yPvC+7z7ufu4+7j7t/u1+7D7q/um+6L7nvuZ+5P7i/uE+4D7gPuE+4n7jvuR+5T7mPud+6P7p/up+6n7p/un+6r7rfuu+6z7p/uh+537n/um+7L7vvvM+9n76Pv3/Af8FPwc/CD8IPwg/CD8JPws/Db8Q/xQ/F38avx3/IP8j/yc/Kn8tvzB/Mv81Pzc/OL85vzn/Ob85vzp/PH8/f0K/RT9Gv0d/SD9Jv0u/Tv9SP1X/Wf9d/2I/Zn9qf26/cv93v3y/gX+Ff4i/iz+N/5F/ln+cf6K/qL+uf7R/ur/Bf8e/zb/TP9g/3b/jv+o/8P/3v/3AA4AJAA8AFQAbQCFAJsArwDCANUA6gEDASABQQFkAYYBpgHDAd4B9AIEAg4CEwIVAhICCgH4Ad0BxQHCAesCTwLoA6AEUgTfBTcFYgVyBXoFggWDBXMFSwURBNIEmwRzBFQENwQWA/ID0QO4A6gDoAObA5kDnAOnA7kDzwPiA+0D8APtA+oD6gPuA/oEDAQnBEwEdgSgBMQE3wTyBQEFEwUqBUQFXQVuBXUFdQVyBXAFbwVrBWAFSwUsBQcE4gTCBKkElwSLBIQEgwSFBIwElASaBJ0EnQScBJ0EnwSdBJUEggRnBEoEMAQdBA0D/APjA8MDnQN4A1gDPQMjAwYC5QLDAqQCjwKDAn4CewJ2Am4CZwJkAmgCcQJ9AocCjgKOAokCfwJuAlgCPgIiAgoB+QHwAfAB9gH/AgoCFAIeAikCNgJJAmICgAKbAqwCrAKZAnkCVQI5Ai0CMQJBAlYCawKAApMCpwK4AscC0wLgAvQDFAM+A28DngPFA+ID9AP8A/oD6wPVA78DugPUBBQEdATgBT8FfgWXBZEFfQVqBWIFZwVzBYMFkQWeBagFsAW0BbQFrgWlBZsFkgWLBYkFigWSBZ8FtgXWBgMGOQZ0Bq0G2QbyBvcG7gbhBtsG4QbzBwkHHgctBzcHPwdLB1sHbgeCB5QHpQe0B8QH1AflB/UIBAgTCB8ILAg4CEYIVghqCH8IlQipCLoIyAjUCN8I6gj0CQEJEQknCT8JWAluCXwJhAmKCZEJmgmnCbIJuwnCCckJ0gngCfAKAAoQCh8KLwpCClcKagp6CoUKjgqWCp0KogqmCqgKrQq2CscK3ArvCvoK/Qr5CvAK5grcCtIKyAq+CrcKswqvCqoKoQqVCooKggp/Cn0KeApvCmIKVwpQCk8KTApKCkYKQAo6CjYKNwo7CkIKSApLCksKRwo/CjUKKAobCg4KBQn/Cf4J/woBCgQKBgoKCg4KEwoYCh0KIAokCisKNgpEClQKYwpyCoEKlAqwCtULAQstC1ULdQuQC6sLyQvoDAUMGQwjDCkMMgxHDGcMjAytDMMMzwzYDOIM8Q0DDRUNIw0wDUANVQ1vDYkNnA2oDa0Nsg27DccN1A3eDeUN6g3yDgAOEg4kDjIOOg48Dj0OPg4/DkAOQQ5CDkcOUg5jDnUOgg6GDn8OdQ5zDoAOoA7LDvAO/Q7jDqUOVA4KDeIN6w4hDnUOzA8TDz4PTQ9HDzYPIw8SDwcPAg8FDxAPHw8vDz0PSg9XD2oPhg+oD88P9BAWEDYQVRB3EJwQxBDqEQ4RLhFLEWYRgRGdEboR1hHwEggSGxItEkISYBKNEsgTBhM6E1UTUhM0EwcS2hK3Ep8SjhJ/EnESYxJZElUSVhJZElwSXxJjEmsSdBJ7EnoSaxJPEisSBhHmEc4RvhGxEaQRkxGAEW4RYRFcEV4RYRFfEVERNxEWEPoQ6BDlEOwQ9RD4EPIQ5xDaEM4QxRC5EKcQjxB1EF0QSxA9EDAQHhAFD+kPzA+0D6EPjg95D18PQQ8iDwYO7g7bDskOtg6iDo4Oew5sDmMOXg5cDloOVQ5KDjwOLA4gDhkOFw4VDg8OBA30DeUN3A3ZDdwN4A3hDd8N1w3MDb0NrA2ZDYkNfQ14DXgNeQ15DXcNfA2SDb8OBQ5XDqUO3Q72DvIO3Q7IDsAOxw7aDuwO8w7oDssOpQ5/DmEOTw5EDjgOIQ34DbkNaQ0RDLgMZgwfC+ILrguDC14LQQspCxYLBQr0CuAKxgqmCoEKVgooCfgJyQmcCXMJTQkoCQQI4Ai7CJYIcwhQCC0ICAfiB7oHkgdsB0gHJQcDBt4GtwaPBmkGRwYoBgwF8gXXBbwFoQWFBWYFQgUZBO4ExASfBH4EXwRABBwD9gPPA6oDiANmA0QDHgL2As8CqgKHAmUCQQIaAfIBzAGpAYkBagFIASEA+QDSAK8AjwBxAFEALwAM/+n/x/+m/4X/Y/8+/xr+9/7X/rn+m/58/lz+Ov4X/fT90v2x/ZP9d/1d/UH9Ivz+/Nj8svyP/G78Tvwu/A377PvO+7L7mft/+2L7Q/sj+wT65/rM+rH6lfp4+lz6Qvon+gz57fnK+aj5h/ls+VT5Pfkk+Qn47fjR+Lr4pviW+Ij4e/ht+F/4UPhA+C/4HfgM9/z37fff99L3xfe697D3qPeg95X3h/d492n3W/dO90L3Nvcq9x/3FfcM9wH28/bj9tP2x/bA9rz2ufay9qj2nvaZ9p32qva79sz22fbj9uv29PcA9wz3Fvce9yP3KPcu9zT3O/dC90n3Ufdb92X3bPdw93L3dfd694L3i/eT95r3n/em97D3vPfH98730vfV99r34vfs9/X3+/gC+Ar4F/gl+C/4Mvgx+DL4O/hP+Gn4fviI+IL4dfhr+Gv4d/iJ+Jn4pPir+LT4wfjQ+N344/ji+OD44vjr+Pf4//j6+Ob4yPin+Iv4efhw+G74cPh2+IH4jvid+Kr4s/i1+LH4qPib+I74hPh++H74g/iL+JT4nPik+K74uPjA+ML4vPit+Jr4iPh9+Hv4f/iF+Iv4kfib+Kr4v/jT+OL46Pjn+OL44vjm+Oz48/j7+Qv5Lvlo+bb6BPo6+kb6Ivnf+ZX5XflF+Un5W/lr+XL5bflg+Ur5LfkJ+Ob40vjb+Qf5Tvmc+dn59/n2+eP50PnJ+c752fnk+ez59Pn9+gn6EPoM+fn53fnA+av5pPmm+a35r/mq+Z75jfl4+WL5Sfkt+RD48PjO+Kj4ffhO+Bn34Pej92X3K/b69tn2x/a/9rv2tPao9pj2ivaF9ob2ifaJ9oL2dvZp9l/2WPZU9k72RfY59iz2IvYb9hX2D/YL9gf2BPYC9f/1+vX09e316fXo9ev17vXx9fT1+fYB9g72HfYu9j72TfZb9mj2dfaA9or2k/ac9qX2r/a59sL2xvbF9sH2uva09rD2r/av9q/2sPaz9rr2xfbT9uH26/bw9vL28fby9vb2+/cB9wX3CvcP9xf3Ivcu9zv3R/dT92D3bfd794j3k/ec96X3sPe898n31Pfa99f3zPe49573g/dq91j3UPdR91z3bPd/95b3sPfL9+b3/fgN+BX4F/gV+BT4FfgX+Bv4H/gk+C34OPhF+FL4Xfhl+Gv4cvh6+IX4kfic+KT4qvit+K/4sfiz+LX4tfi2+Lf4u/jC+Mz41/jh+Oj46vjn+OL43PjW+NH4zvjK+Mf4xvjH+M341fjg+Or48vj2+PX47/jj+NL4vPij+Ir4dfhn+GD4Yfho+HP4gPiO+Jz4qfi0+Lz4wPjB+MD4v/i/+MH4xPjJ+M741vje+Oj48vj8+Qb5D/ka+Sf5N/lK+V75c/mI+Zr5qfm2+cH5zfnb+ez5//oV+ir6PvpQ+mD6cPqA+o76nPqo+rP6v/rL+tn65/r2+wT7Evsf+yv7N/tC+0/7XPtr+3v7ivuX+6L7rPu1+777xvvM+9H71PvY+9z74Pvi++L74Pvc+9j71vvV+9X71PvS+8/7zPvJ+8b7wfu7+7X7r/ur+6j7pvuj+577mPuR+437iPuE+3/7ePty+277bvtw+3P7dvt3+3f7ePt7+377gPuD+4b7i/uS+5v7ovul+6L7m/uV+5P7l/ug+6v7tfu9+8X7zvvb++v7/PwK/BT8G/wg/CT8KPwu/Db8PvxI/FP8Xfxn/HP8f/yN/Jz8qvy3/ML8yvzR/Nf82/ze/N/84vzn/PD8/P0H/Q/9FP0W/Rf9G/0j/S/9PP1K/Vj9Z/12/Yb9lv2n/bj9yv3c/e39/P4I/hP+H/4u/kH+Wf5y/ov+pP68/tX+7v8G/x3/Mf9F/1v/c/+O/6r/xv/f//cADgAlAD4AVwBvAIcAnQCyAMkA4AD7ARkBOAFZAXoBmwG6AdYB7QH+AgkCEQIWAhgCEgIAAeIBwwG3AdgCNALHA3oEJwSuBP8FHgUgBRsFHAUjBSUFFgT1BMUEkARdBDAECgPpA84DuwOuA6cDowOiA6YDsAPCA9oD8QQBBAcEBQQBA/4EAQQKBBYEJwQ9BFoEfASgBL8E1wTpBPoFDgUlBT4FUQVaBVoFVQVUBVsFagV5BXwFbAVJBRgE5gS9BKIElQSQBI8EjgSNBI0EkASXBJ8EqQSyBLgEuASuBJcEdwRQBCsEDAP1A+IDzQOxA40DZAM9AxsC/wLmAs0CsgKYAoQCdwJwAmwCZQJbAkwCPgI0AjACLwItAigCHwIRAgIB8QHgAc4BuwGqAZ0BlwGZAaQBtAHGAdgB5QHvAfMB9QH3AfwCBgIRAhoCHQIVAgYB9QHpAegB8QICAhcCLgJFAlwCcwKIApwCsALJAu0DHwNdA58D2gQGBB8EKwQwBDEELgQnBB0EGAQkBEwElATxBVEFoAXQBd4F1QXCBbMFrwW4BcgF2gXtBf0GCQYRBhIGCgX6BeQFzwW+BbQFrwWtBbAFugXSBf0GOQZ/Br4G6Qb4Bu4G2gbMBtAG5wcJBykHQAdLB08HVQdhB3EHgweUB6IHsAe/B84H3AfoB/EH+ggFCBMIJAg2CEYIVghlCHUIiAibCK8IwQjRCN0I6QjzCP4JDAkeCTMJSglgCXEJfQmHCZIJngmsCbkJxAnMCdMJ3QnpCfgKBwoWCiUKNgpIClwKbwp/CosKlAqdCqUKqwquCq4KrwqzCr4KzgrgCu0K8wrxCuwK5QreCtcKzwrICsEKvAq3CrIKqgqeCpIKiAqDCoEKfgp4Cm4KYQpWCmEKYgpkCmYKZApfCloKWApaClwKXQpZClEKRQo6CjAKKgonCiQKIgofCh0KHAobChwKHQoeCh8KIAohCiEKIgolCiwKOgpOCmMKdwqHCpUKpwrCCugLFgtFC2sLhQuUC58Lqwu8C88L4gvzDAQMGgw2DFcMdgyODJ0MqAy1DMkM4wz+DRYNKA01DUMNVQ1rDYMNmA2pDbcNxg3UDeIN7Q30DfsOBQ4VDigOPA5JDlAOUQ5TDloOZA5uDnYOeQ56Dn8Oig6YDqMOow6WDoEOcQ5yDooOtA7fDvYO6Q61DmcOGQ3mDd4OAw5JDpgO3Q8KDx0PHA8PDv0O6w7dDtYO2g7qDwEPGw8wDz4PSQ9WD2wPjA+zD9oP/hAdEDsQXBCAEKYQyhDqEQcRJBFDEWURhxGnEcYR4xH9EhQSJhI2EkoSbhKoEvgTUBOZE74TtBOAEzgS9BLFEq8SqxKvErESrhKnEp4SkRKAEmsSVxJKEkkSUxJfEmQSWBI9EhoR+RHiEdQRyRG4EZ4RfRFdEUsRThFlEYgRpBGrEZQRYhEiEOcQwBCzELsQzRDdEOMQ4RDXEMwQwBCyEKAQixB3EGYQWBBMEDoQIRAAD90Pvw+pD5oPjg98D2IPQA8aDvcO2w7IDroOrg6gDo8Oew5mDlMORA46DjMOLA4iDhUOCA39DfYN8g3uDecN2w3MDb8NuA22DbkNvQ2/Db4NuQ2xDaQNlA2CDXMNag1pDWsNaA1dDUsNPQ1FDXANwA4oDpEO5Q8WDyQPHA8PDwkPDg8aDyQPJQ8YDv0O2Q6wDogOZQ5HDi4OEw3xDcINhw1BDPUMqwxmDCYL6wu0C4ILVQswCxEK9grcCr8Knwp9ClsKOQoXCfQJzgmlCXkJTQkjCPkI0QiqCIUIYwhECCcICAflB7wHkAdkBzsHGAb4BtgGtQaQBmsGSQYrBhAF9wXdBb8FngV7BVcFNAUQBOsExwSiBH8EXQQ7BBcD8QPLA6UDgQNeAzsDFwLzAtACrQKLAmoCRgIgAfoB1gG0AZUBdQFUAS8BCQDkAMIAogCDAGMAQAAd//r/2P+3/5b/dP9R/y7/Dv7v/tL+tf6W/nT+Uf4t/gr96P3H/aj9i/1v/VL9M/0R/O38yPyl/IT8ZfxF/CT8A/vk+8f7rPuR+3X7Vvs1+xT69frY+r36ovqH+mv6T/ox+hP58/nS+bP5lfl6+WH5Sfkv+RT4+fje+Mb4svih+JP4h/h7+G34XPhJ+DT4IPgP9/737/ff99D3w/e697P3rven9533jvd992z3XvdT90f3PPcv9yL3F/cM9wD28vbi9tL2xva/9rr2tvau9qP2mfaV9pn2pfa29sX20fba9uL26vb09v73B/cP9xb3Hfck9yn3Lvcx9zb3PvdI91L3W/dg92L3Zfdr93P3eveA94P3hveN95j3pvey97n3vPe998L3yvfV99/35vfr9/L3/fgK+BP4FvgU+BL4GPgs+Ej4Y/hz+HP4afhg+GD4avh6+In4k/iZ+KH4rfi++M742Pja+Nj42vjh+Ov48fjr+Nf4t/iU+HX4YPhV+FP4WPhi+HD4gPiN+Jb4mfiX+JL4i/iF+H34dPhs+Gb4Zvhv+H34jvie+Kr4sPix+Kz4o/iX+Ij4efhu+Gf4ZPhk+Gb4a/h1+IL4kvii+K74t/i++Mb4zvjS+M/4xvjB+M34+PlD+Z/57voT+f75ufle+RH46fjr+Qb5Jfk2+TT5JPkP+Pf42/i8+J/4kvii+NP5Gvli+ZP5o/mX+YH5b/ls+XP5f/mK+ZX5p/nA+dz57/nt+dX5r/mI+W75Z/ls+XT5dfls+Vn5Qvkr+Rb5APjo+Mz4qPh7+EX4BvfE94P3SPcU9ub2v/ad9oP2cfZo9mT2X/ZX9kv2P/Y39jT2NPY09i/2JfYY9g32A/X69fH15vXZ9c71x/XC9b/1u/W29bH1rvWu9a/1sPWu9av1qPWn9aj1q/Wu9bD1svW39b/1zPXc9ez1+vYH9hP2H/Ys9jr2RvZQ9ln2YfZp9nD2dfZ39nb2c/Zx9nH2dPZ49nv2fPZ99oH2ifaV9qP2r/a49rz2vfbA9sT2yvbR9tj23/bm9u72+PcB9wv3FPce9yr3OPdI91f3ZPdv93n3gveM95f3over97H3sfer9573jfd692j3WvdP90j3RPdE90r3Wfdx95L3tvfX9/L4A/gK+Ar4B/gD+AD4APgD+Av4Fvgi+C34Nvg8+EH4R/hP+Fn4Y/hu+Hb4ffiD+Ij4jviU+Jj4nPie+J/4ofik+Kn4sfi5+ML4yvjR+Nn44vjt+PX4+vj5+PH45PjV+Mb4vfi5+L34xvjR+N745/jq+OT41fi9+KD4gfhm+FD4Qvg7+Dz4QvhN+Fz4bfh++I74nPin+K/4tvi6+Lz4vfi++MH4xvjP+Nv46Pj1+QH5DfkZ+SX5MvlB+VL5Zfl5+Y75oPmw+b35yPnU+eL58/oG+hr6LvpB+lL6Yvpy+oL6kvqi+rH6vvrL+tj65vr0+wP7Evsg+yz7NvtA+0r7Vfti+3D7ffuI+5L7mvuj+6v7s/u7+8H7yPvO+9X72fvc+9v71/vT+9D70PvQ+9D7z/vL+8f7w/vA+777u/u2+6/7qPui+577mvuV+4/7iPuB+3v7d/tz+2/7a/tn+2X7ZPtl+2b7Z/tm+2X7ZPtj+2L7Yvtj+2b7bvt5+4X7j/uT+5H7jPuI+4j7jfuW+5/7p/us+7H7t/vC+8/73fvs+/n8BfwQ/Br8JPwt/Db8PvxG/E38Vvxf/Gn8dvyE/JX8pfyz/L/8yPzP/NT82fzb/N383/zj/Ov89fz//Qf9C/0M/Q39Ef0Z/ST9Mf09/Un9Vv1l/XX9h/2Z/ar9uv3J/df95f30/gL+Ev4k/jj+Tf5k/nv+kv6q/sH+2P7t/wH/FP8n/zz/VP9w/43/qf/D/9v/8gAJACEAOgBSAGoAggCbALUA0gDwARABLwFOAW4BjQGtAckB4QHyAf4CCAIRAhcCFAICAeIBvQGpAb4CDgKVA0AD6QRxBMME4gTgBNUE0QTYBOQE5gTZBLgEigRUBB8D8APLA7MDpQOhA6EDowOnA7ADwAPZA/YEEAQiBCoEKwQpBCoEMAQ5BEMEUARfBHUEjwSsBMYE2wTsBPsFDQUiBTQFPQU7BS8FJAUjBTIFTwVsBXsFcgVQBRwE5wS9BKUEnQSdBJ8EngSZBJYEmQSjBLMEwwTPBNEExQSqBIMEVQQmA/wD2wPBA6kDjgNrA0EDFALoAsECoQKHAnICYQJWAlACTwJMAkUCNAIZAfkB2AG8AaYBlAGCAWsBTwEvARAA9ADfANEAywDLANMA4gD4ARQBMgFQAWsBfgGJAYwBiQGEAYIBhgGQAZwBpwGsAawBqQGoAa0BuAHJAdsB7gICAhcCLQJFAl8CfQKmAuADKwOCA9kEIARNBF8EXwRZBFgEXgRnBG0EbgRxBIIErATwBUQFlQXQBewF6wXZBcYFvAXBBdEF6AYBBhkGLgY/BkkGSAY6BiMGCgXzBeQF2gXUBdAF0gXiBgcGPwaABroG3QbjBtYGxwbIBt8HCQc2B1cHZgdnB2QHZQdwB38HjgebB6UHsgfEB9gH6Qf0B/oH/ggFCBMIJgg7CE0IWwhnCHQIhAiYCKwIvwjPCN4I6wj4CQYJFQkmCTgJSwleCW4JfAmICZUJpQm3CccJ1QnfCeUJ7An1CgEKDgodCisKOgpKClsKbAp5CoUKjwqYCqEKqQqtCq4KrQqvCrcKwwrQCtoK3wrfCt0K2wraCtoK2ArTCs0KxwrBCrwKtgqsCqAKkwqKCoQKfwp6CnMKawpkCnwKgAqGCokKiAqDCn0KeAp1CnIKbApiClUKSAo/CjwKPQo/Cj8KOwo1Ci8KLQotCi0KLQoqCicKJgomCigKLAoyCjwKSgpcCm8KfgqHCo0KlgqrCs8LAAsyC1oLcQt3C3ULdQt/C5YLtgvZC/0MIQxCDF8MdwyHDJMMngyuDMUM4Qz9DRQNJQ0wDTsNSA1ZDWsNfQ2PDaANsg3EDdIN3Q3mDe8N/w4UDioOPQ5IDkwOTQ5UDmIOdg6KDpoOow6qDrUOwg7PDtIOyA6wDpUOhQ6MDqgOzg7oDuQOuw51DigN7g3bDfQOLA5xDq4O1g7nDuYO3Q7QDsIOtg6uDq8OvA7XDvgPFw8uDz0PRw9XD3EPlA+8D+EQARAcEDkQWhB/EKMQwxDfEPkRFxE7EWERhxGpEccR4xH/EhkSLxJAElIScBKkEvATRRONE7ATohNrEyQS5xLIEsoS5RMKEy0TRhNSE0wTMhMCEsISfxJKEiwSJhItEjISKhIWEf8R7xHtEfIR8RHeEbQRfhFOETkRSRF6EbcR5hHyEdERixE0EOUQshCgEKkQvhDRENcQ0hDGELgQrBCfEJEQgBBvEF4QTxBAEC0QFA/3D9kPvw+sD54PkA96D1oPMg8GDt4Ovw6sDqMOoA6cDpUOhQ5wDlYOPg4oDhgOCg3+DfEN5Q3bDdUN0w3RDc0NxA25Da8NqQ2mDaUNpA2iDaENoA2fDZsNkQ2CDXINZw1jDWUNZQ1eDU8NQA1CDWINpQ4ADmEOtQ7wDxMPKA87D08PZA9zD3UPZw9MDygO/g7SDqMOdA5HDh0N+Q3XDbUNjw1jDTMNAQzNDJUMWgwaC9cLlgtcCykK/ArPCqAKcApAChgJ+AnhCcwJtQmXCXMJTAkjCPoI0QimCHsIUwgwCBMH+AfcB7kHkAdiBzcHEAbvBtEGsQaOBmkGRQYmBgwF8wXZBbkFkwVsBUYFJAUEBOQEwwSfBHoEVQQxBA0D6gPGA6EDfANYAzUDEwLxAtACrwKOAmwCSQIlAgIB4AHAAaEBggFhAUABHQD7ANoAugCZAHYAUgAuAAv/6f/I/6f/hv9k/0T/Jf8H/un+yf6m/oL+Xv47/hr9+/3c/b39n/2A/WD9QP0e/Pz82fy3/Jb8d/xY/Dj8GPv5+9v7v/uj+4f7aPtI+yf7CPrr+tD6t/qc+n/6YPo/+h35/Pne+cH5pfmJ+W75U/k4+R35Avjo+M/4ufim+Jf4jPiA+HL4YfhN+Dn4JvgU+AT38/fh98/3wfe497X3tPev96T3k/eA9273X/dV90v3P/cy9yT3F/cM9wD28/bj9tX2yfbA9rr2tPar9qD2lfaQ9pP2nfas9rv2x/bR9tn24fbo9u/29fb89wX3D/cY9x/3I/ck9yX3K/cz9z73R/dM91D3Vfdc92T3a/dv92/3b/dz9333iveW9533ofej96n3sve998b3zPfQ99f34vfw9/z4APf99/r3//gR+C74Svhc+F/4WPhQ+FD4W/hs+Hz4hviM+JP4n/iw+MD4y/jN+Mv4y/jQ+Nr44fje+Mv4rfiJ+Gj4UfhE+ET4TPhb+G34fviJ+Iz4ifiC+H34fPh7+Hj4b/hh+FX4UPhY+Gn4fviO+JX4kviK+IH4evh2+HL4bfhn+GD4WvhX+Fb4WPhb+F/4Yvhn+G34efiK+J74r/i1+K74nviU+KX42vkw+Y750vnh+bP5XPj/+L/4r/jG+Oz5BvkF+O34zPiu+Jf4g/ht+Fn4VPhr+KD46Pkq+VL5V/lB+SX5EvkR+Rv5KPk0+UH5V/l4+Z75ufm/+av5hflc+T75Mvkx+TL5LPkb+QT46vjS+L34qfiU+Hr4V/gm9+f3nPdM9wL2xfaZ9nr2YvZM9jf2JPYW9g72CPYB9ff16/Xg9dr11/XW9dT1z/XG9bz1sfWn9Zv1jfWA9Xb1cfVv9W/1bvVq9WX1YfVh9WP1ZfVl9WP1YPVf9WH1ZvVs9XH1c/V29Xv1hPWQ9Z31qPWx9br1xPXR9eH18fX/9gr2EvYa9iH2J/Yr9i72L/Yw9jP2OPY+9kL2RPZE9kb2TPZW9mL2bvZ49n/2g/aI9o/2l/ag9qj2r/a39r/2x/bQ9tn24vbs9vf3BPcS9yL3Mfc/90v3Vfdd92P3avdw93b3fPeB94P3g/d/93n3cfdn91j3R/c09yX3IPco9z73YPeH96z3yvfe9+j36/fr9+r37Pfw9/b3/fgE+An4DfgR+Bb4Hfgo+DP4PvhH+E/4Vvhc+GP4a/hy+Hr4gfiG+Iv4j/iT+Jb4mvie+KT4rPi2+MP40fjh+PH4/fkD+QL4+vjt+N740PjF+MD4v/jD+Mn40PjU+NT4zfjA+K34lfh8+GT4T/g8+C34I/ge+CD4J/gz+EP4V/hs+IH4k/ih+Kz4svi2+Lv4wfjJ+NT44Pju+P35DPkb+Sn5N/lD+VD5Xvlu+X/5kfmg+a75u/nI+df56Pn8+hD6JPo2+kX6VPpk+nX6h/qa+qz6vfrM+tn65vr0+wP7Evsh+y77OPtC+0v7Vvth+237d/t/+4b7jPuS+5r7ovuq+7P7u/vE+8z70vvU+9L7zvvJ+8b7xvvI+8r7yfvF+8D7u/u4+7b7s/uv+6n7ovuc+5b7kvuN+4f7gPt5+3P7cPtu+237a/to+2T7Yftf+177Xftc+1r7WPtV+1L7T/tO+1H7WPti+277ePt9+377fPt7+3z7gfuI+4/7lvud+6T7q/u0+737xvvQ+9v76fv4/An8GPwl/C/8N/w//Eb8TfxV/F78avx5/Ir8m/yr/Lr8xfzO/NT81vzW/NT80/zV/Nv85vzy/Pv9AP0C/QP9Bv0N/Rf9I/0u/Tr9Rv1V/Wf9ev2N/Z39q/23/cT90/3j/fb+Cv4e/jP+R/5a/m7+gf6V/qn+vP7P/uH+8/8F/xv/NP9R/3D/jf+n/77/1f/tAAYAIQA8AFYAbwCIAKQAwgDiAQMBIgFAAV0BfAGbAbgB0QHjAfAB+wIFAg4CDwIBAeEBuQGcAaEB2wJNAuYDiQQYBHwErwS8BLUEqgSjBKIEoQSbBIoEbgRGBBkD6gPBA6MDkwOPA5IDmQOiA68DwwPeBAAEIAQ7BE0EVwRdBGMEaQRwBHUEewSEBJIEpwS+BNUE6AT2BQMFEQUfBSkFKgUgBRAFAgUBBRIFLwVMBVsFUgUwBQAE0AStBJwEmQSeBKIEoQSdBJsEnwSrBLoEyATMBMEEpgR9BEsEFwPmA7wDmQN6A1oDNgMMAt4CrgKCAloCOgIhAhACCAIKAhQCIAInAiICCwHjAa8BdgFAARMA7gDPALIAlAB2AFkAQwA1ADMAOwBKAF4AdQCOAKgAxADfAPcBCgEVARgBGQEbASUBOAFQAWoBfQGGAYYBgQF+AX8BhwGUAaIBrwG7AcgB2AHqAgICJQJYAqAC/gNqA9UELQRmBHwEewRzBHIEfgSSBKQErASuBLMEyQT4BTwFhwXFBegF7QXdBcgFvAW9Bc0F5AX9BhYGLgZEBlQGWQZSBkAGKAYSBgQF+wX3BfQF9QX/BhkGQQZxBpoGsQa2BrQGugbVBwUHPQdrB4QHhgd7B3AHcAd7B4kHlAebB6AHqwe/B9kH8ggDCAwIEQgWCCIIMwhECFQIYAhsCHoIjAigCLIIwgjPCNsI6Aj4CQoJHAkuCT8JTwldCWsJdwmDCZEJoQm0CcYJ1QngCeYJ7An0Cf8KDgoeCi4KPApKClYKYgptCnYKfgqFCo0KlAqaCp0KoQqnCrEKvArICs8K0wrTCtQK2ArfCuYK6ArmCt4K1QrNCsgKxAq+CrMKpgqZCo4KhwqCCn4Kewp6CpAKkQqTCpQKkwqQCo0KiwqJCoUKfQpxCmMKWApTClMKVgpVCk4KQgo2Ci8KMAo0CjkKOQo2CjEKMgo4CkQKTwpZCl8KZAprCnMKegp9Cn4KgwqTCrQK4gsTCzoLTgtQC0oLSQtZC3sLqgvcDAoMLwxLDF8Mbwx9DIkMmAyqDL8M1gzsDP4NDA0YDSUNNA1EDVMNYg1xDYENkw2mDbcNxQ3RDd4N7g4DDhgOKQ40DjoOQA5MDl4OdQ6LDp4OrQ68Ds0O3w7rDusO3Q7FDrAOqQ61Ds0O4w7iDsEOgw44DfoN3g3qDhgOVQ6MDq8Oug61DqoOoA6ZDpQOjw6PDpcOqw7LDvAPDw8lDzMPPw9RD24Pkw+4D9oP9RAPECwQThB0EJYQtBDOEOoRDRE2EWERiBGoEcMR3RH8EhwSORJOEl0ScBKREsMS/xMzE0oTPRMUEuQSwhK9EtgTCRNGE4MTuhPjE/IT3ROgE0MS2RJ7EjoSGRIPEgoSARHzEewR9BILEiYSLxIXEd0RkRFPETERQRF4EbwR7hH4EdMRihEzEOkQvBCvELkQyRDREMwQuhCkEJAQgRB1EGsQXRBOED4QMBAjEBYQBw/0D98Pyg+1D58PhQ9kDz0PEQ7mDsAOpQ6WDpIOlQ6ZDpgOjg56Dl8OQg4nDg8N/A3qDdoNyw3ADbsNuw29Db4Nug2yDaoNog2eDZoNlw2TDZENkg2WDZgNlg2MDX4NcQ1qDWoNbQ1rDWMNWQ1XDWcNjg3KDg4OTw6JDr0O8Q8pD2IPkQ+sD6wPkg9oDzYPAw7SDqIOcA49Dg0N4w3BDaMNiA1tDU8NLQ0GDNYMmgxTDAYLvAt8C0cLGgruCrkKfQo8CgEJ0gmxCZoJhQltCVEJMgkUCPYI1givCIIIUwgmCAEH5AfLB68HjAdiBzYHDQbpBsoGqgaIBmIGPQYdBgIF6gXRBbMFjgVnBUAFHgT/BOAEvwSaBHMESwQmBAQD4wPCA6ADfQNaAzkDGAL4AtgCtgKTAnACTQIrAgoB6gHKAaoBigFrAUsBLAENAO4AzQCrAIcAYgA9ABj/9f/S/7D/j/9v/1H/M/8V/vX+0f6r/oT+X/4+/iH+B/3s/c/9sP2P/W39S/0p/Qf85vzF/KX8hvxo/En8KvwL++37z/uy+5b7ePtZ+zn7G/r/+uX6zPqy+pT6c/pP+iv6Cfnr+dD5tfmY+Xv5XvlB+Sb5DPjy+Nn4wvit+Jz4jfh/+G/4XvhL+Dj4KPgZ+An39vfg98v3u/e097P3tPex96b3k/d+92v3XfdT90r3QPcy9yP3FfcJ9v328fbj9tX2yPa+9rb2rvak9pn2j/aJ9ov2lPah9q/2vPbI9tH21/bc9t/24/bp9vP2//cL9xP3FvcV9xT3Fvcc9yX3LPcy9zb3O/dC90r3UfdV91b3VvdZ92D3a/d093v3gPeE94r3lPed96T3qPet97X3xPfW9+T36ffm9+P35vf3+BL4LvhB+EX4P/g5+Dz4Svhd+G/4e/iD+Ir4lfil+LP4u/i6+LX4svi2+MH4zPjN+MH4p/iE+GL4Rfg0+DD4OPhI+F34b/h5+Hr4c/hs+Gn4bPhw+G/4ZfhT+EL4Ovg/+E/4YPhq+Gj4XfhQ+Ej4SfhQ+Fj4XPha+FT4T/hL+En4R/hE+D74OPg0+Df4Q/hV+Gr4evh++Hf4bPhr+Ib4wvkW+Wn5nfmb+WX5EfjD+Jf4l/iy+ND41/jC+Jr4cvhW+EX4N/gk+BL4Dfgl+Fz4pvjp+Q/5EPj3+Nf4xPjD+M743Pjl+O34/fkY+Tz5W/lq+WL5R/kl+Qb48Pji+Nb4xvix+Jr4gvhs+Ff4Qvgs+BL37/fA94H3NPbh9pX2WfYx9hr2DPX99ev12PXI9bz1tPWs9aH1lPWH9X71e/V79Xv1ePVx9Wj1X/VV9Ur1PvUy9Sn1JfUk9Sb1J/Ul9SH1HfUb9Rv1G/Ua9Rb1EvUS9Rf1IPUr9TP1OPU69Tz1QvVK9VL1WvVf9WX1bPV59Yr1nPWu9bv1xvXO9dX13PXi9ej17fXx9fb1+/YA9gT2B/YI9gr2D/YX9iL2LvY49kH2SfZQ9ln2YvZq9nL2efaA9of2kPaa9qX2r/a59sT2z/bb9un29/cG9xX3Ifcq9zD3M/c29zv3QvdL91X3Xvdm92z3cPdw92n3W/dH9y73GfcN9w/3Hvc591j3ePeU96r3u/fI99P33Pfj9+j36vfq9+n36ffr9/H3+vgG+BL4Hfgn+C/4Nvg9+ET4S/hR+Ff4Xfhk+Gz4dPh7+IL4h/iN+JT4nPik+K34t/jA+Mr41Pje+Ob47Pjw+PH47/jr+Ob43/jY+NH4zPjI+Mb4xPjB+Lz4tPin+Jb4gvhr+FP4O/gl+BP4B/gC+AX4EPgi+Dn4Ufho+H34j/if+K34u/jH+NP43vjr+Pn5Cvkc+S75PvlM+Vf5Yflr+XX5gvmP+Zz5qvm6+cv53/n0+gn6Hfou+j36S/pZ+mn6e/qO+qD6svrC+tD63vrs+vv7DPsc+yr7NvtA+0v7Vfth+2v7dPt7+3/7hPuJ+5D7l/uf+6f7r/u3+7/7xfvH+8X7v/u5+7X7tPu2+7n7uvu4+7T7r/us+6n7p/uk+5/7mvuV+5H7jfuI+4L7fPt1+3L7cPtx+3L7cvtv+2r7Zftg+1z7WvtY+1X7UvtO+0n7RftE+0b7TPtU+137Zftr+237bvtv+3D7c/t4+3/7h/uR+5v7pfuu+7T7ufu/+8r72Pvq+/38Dfwa/CP8K/wy/Dr8QvxK/FL8XPxo/Hb8iPya/Kz8u/zH/M780PzN/Mj8xPzF/Mv81/zk/O/89vz3/Pf8+fz+/Qj9E/0f/Sv9OP1H/Vr9bf1//ZD9nf2p/bX9xP3V/ej9/P4R/ib+Of5M/l3+bf59/o7+n/6x/sL+1P7n/v3/GP83/1b/c/+N/6X/u//V//IAEgAxAE8AaQCBAJsAtwDVAPQBEgEvAUsBaAGHAaUBvwHSAeEB7AH3AgECBQH9AeUBwAGfAZUBtAIEAn8DEAOgBBcEaQSTBJwEjgR0BFsESARABD0EOgQvBBcD8QPGA58DhgN9A4IDjwOgA7QDzAPrBA8ENQRXBHIEhASQBJcEnQSfBKAEoQSkBK0EugTMBN4E7QT6BQQFDgUXBRsFFwUMBPwE7wTsBPQFAwUQBREFAATgBLkElQR+BHUEdgR7BH8EfwR9BH0EgASGBIwEjQSDBGwESQQcA+oDtwOIA10DNQMOAuUCugKPAmUCQAIhAggB9AHmAeAB4gHuAgMCHAIxAjgCKwIGAcsBhAE7APwAzQCxAKYApgCsALYAxADXAO0BAwEUARwBGQEOAQEA9wDzAPUA+QD8AP8BBQEUATABWAGEAaoBwAHBAbEBlwF9AWoBXwFbAVsBXAFcAV0BYgFrAX0BnQHPAhoCfwL1A28D2gQnBFIEYgRlBGwEfgSZBLYEygTVBN4E8gUZBVQFlgXPBfIF+wXwBeAF1wXbBeoF/wYUBiYGNQZCBk0GUAZJBjkGJQYTBgkGBwYKBg0GEQYYBiYGOgZSBmYGcwZ7BooGqQbdBx0HWweGB5YHjweBB3gHfAeKB5kHoQeiB6IHqQe8B9gH9AgKCBkIIggsCDcIRAhQCFoIYwhwCIEIlgirCLwIxwjNCNUI4AjwCQIJFQkmCTQJQglQCV0JaAl0CYEJjwmgCbEJvwnJCdAJ1wniCfEKBAoYCikKNwpBCkoKUwpbCmMKaQpuCnIKdwp9CoQKjgqZCqcKtArACscKywrOCtMK3grrCvgK/gr7CvEK5ArZCtMKzwrMCsUKugqtCqIKmgqWCpQKkgqRCp0KlwqUCpIKkgqTCpQKlQqTCo4KhAp2CmkKYApeCmAKYQpdClAKQQo1CjIKOQpECkwKTgpKCkkKUAphCnYKhwqOCogKfApzCnAKdQp8CoQKjQqdCrYK2Qr/Cx0LLQsvCy4LNQtOC3kLrAvbC/4MEgwcDCMMLQw9DFIMaQyADJQMpQy1DMQM1QznDP4NFQ0sDT8NTw1dDWwNfg2SDacNug3KDdgN5g32DgYOFw4mDjMOQA5NDl0ObA58DosOmw6sDr8Ozw7XDtQOyQ69DrgOwQ7TDuUO5g7KDpMOTA4KDeQN5A4HDj0OcQ6UDp4OlQ6FDncOcQ5xDnMOdg57DocOng6+DuAO/Q8SDyAPLw9FD2MPhg+oD8YP4A/6EBkQPhBiEIMQnxC5ENgRABEvEV4RhhGjEboR0xHzEhkSPhJZEmoSdxKHEqESwhLeEuoS4hLMErQSqBKwEskS8RMkE2ATohPhFA0UEhPnE5ATIhK3EmQSLxIREf4R7hHkEeoSBhIzElwSahJLEgERohFOER4RHxFFEXkRnxGkEYYRTxEUEOUQzhDLENMQ2BDRELwQnRB+EGQQUxBHED0QMRAlEBkQEBAKEAcQAQ/4D+gP0A+zD48PZw89DxIO6g7HDqwOmw6TDpMOlw6bDpoOkQ5+DmUOSQ4vDhgOAw3tDdYNvw2uDaYNpg2rDbANrw2oDZ8Nlw2TDZINkg2SDZENkQ2UDZgNmg2WDY0Ngg16DXcNeA14DXQNbQ1oDW0NgA2gDcoN+A4qDmIOow7tDzcPdA+WD5YPeA9GDw4O2Q6pDn0OUQ4kDfkN0A2tDYwNbQ1ODS4NCgziDK4MbgwhC9ALiAtTCzMLIwsTCvUKwQp7Ci4J5wmtCYAJXAk7CRsI/gjnCNUIxAirCIgIWggoB/sH1we7B6EHggddBzIHCAbhBsAGoAaABlwGOAYWBfoF4QXJBa0FjAVnBUIFHgT+BN4EuwSWBG8ERwQiBAAD3wO/A58DfwNgA0MDJQMHAuUCwgKdAnkCVwI2AhUB9QHTAbEBjwFvAVEBMwEWAPcA1wC0AJAAawBFACD//P/Y/7X/lP91/1j/O/8e/v3+2P6v/of+Yv5D/in+Ev37/eD9wv2f/Xz9WP02/RX89fzV/LX8lvx4/Fr8PPwd+/773vu/+6D7gvtj+0X7KPsM+vL62fq++qD6fvpa+jf6Ffn4+dz5wvmm+Yj5aflL+S/5FPj7+OP4zPi3+KT4kviA+G34WvhH+Df4Kfgc+Az39/fe98b3tPes96z3rves96H3jvd592b3WPdP90b3O/ct9x73EPcD9vj27Pbe9tD2wva49rD2qPaf9pT2i/aG9ob2jfaY9qX2sfa89sT2yvbN9s/20fbX9uD27Pb49wH3BPcC9wD3AfcF9wz3EvcX9xr3Hfci9yj3L/c19zj3O/c/90b3TvdV91n3Xfdh92j3cfd593/3gveI95P3pfe598n3zvfL98X3x/fW9/D4DPgf+Cb4Jfgk+Cv4O/hQ+GP4cPh3+H74ifiY+KX4q/ip+KH4nPie+Kn4tvi9+Lb4oviB+Fz4Ofgg+BP4Ffgj+Df4S/hX+Fr4VfhR+FD4Vfha+Fj4Tfg6+Cn4IPgk+C/4Ovg8+DP4Jfga+Bn4Ivgx+D34QvhA+Dv4Nvgz+DD4LPgl+Bz4FvgU+Bf4Hvgm+Cz4L/gt+Cr4LPg7+F34lPjV+RD5MPkq+QH4yfiX+H/4gviR+Jn4i/hp+ED4HvgL+AH39ffh98r3wPfU+An4UfiV+Lz4wPip+Iz4evh7+If4k/iX+Jb4mPil+L342Pjt+PH45PjM+K/4k/h6+GL4Tfg5+Cf4F/gG9/L32ve+9533d/dH9wr2wvZ09iz19fXR9b31sfWl9Zb1hfV29Wz1ZPVb9U71QPUz9Sv1KfUq9Sr1JfUc9RD1BvT99Pf08PTo9OH03fTb9N304PTh9OD03vTc9Nr01/TT9M70yvTK9M/02vTm9PH09/T59Pv0/vUE9Qv1EfUW9Rv1IvUt9T31T/Vh9W/1efWA9Yf1jfWV9Z31pvWt9bX1vPXB9cb1yfXL9c/11PXc9eb18fX79gX2DvYY9iH2KfYx9jj2P/ZG9k72V/Zh9mz2d/aD9o72mfaj9q72uvbI9tf25fby9vv3AfcG9wv3Evca9yP3Lfc390H3TfdY92D3YPdY90f3Mfcc9wz3BvcL9xn3LvdG92D3eveR96X3tffB98j3y/fM98z3zffR99f34Pfr9/X3//gI+BH4Gvgi+Cn4L/gy+DX4Ofg/+Ej4Uvhd+Gj4cvh8+Ib4j/iX+J34ofik+Kb4qviy+L34yvjZ+Oj49Pj8+QD4/fj2+Oz44fjZ+NT41PjX+Nr42/jY+M/4wPit+Jf4fvhk+Ej4LvgY+Af3//gA+An4F/gp+D74Vfhu+If4n/i0+MX40vjf+Ov4+/kN+SD5M/lE+VL5Xvlp+XX5gPmN+Zr5qPm3+cj52/nu+gH6FPom+jb6RPpT+mL6cvqC+pP6o/qy+sH6z/rf+u/6//sP+x77Kvs1+0D7S/tX+2L7bPtz+3n7fvuE+4r7kPuW+5z7ofun+637svu0+7L7rPul+6D7nfuf+6L7pPul+6P7n/uc+5n7l/uU+5H7jvuL+4j7hfuB+3z7dftv+2z7a/tt+3D7cftw+2z7Z/ti+177W/tY+1T7UPtL+0b7QvtB+0P7SPtO+1T7Wvte+2L7ZPtm+2f7aPtr+3D7ePuE+5D7nPuk+6r7sPu4+8T71fvo+/r8CPwR/Bn8Ifwq/DX8P/xH/E38U/xa/Gb8dfyI/Jv8rfy7/MT8x/zF/MH8vfy9/MP8zfzY/OD85fzl/OT85vzr/PX9Av0Q/R/9L/1A/VL9Zf13/Yf9lf2i/a/9vP3K/dn96v38/hH+Jv45/kv+W/5p/nj+iP6a/qz+v/7S/uj/Af8e/z3/Wv91/4z/pP/A/+AABAAoAEgAZAB8AJQArgDKAOgBBAEeATgBUwFwAY4BqQG/Ac8B3AHoAfQB+wH6AesB0AGzAaEBqgHWAiYClAMRA4wD9QRBBGYEaARNBCcEBgP3A/wEDQQbBBYD+wPPA6ADfANsA3IDiAOlA8YD6QQPBDgEYQSFBKEEswS9BMIExQTHBMkEygTNBNEE2ATfBOcE7gT0BPkE/QT/BP0E9QTpBNkEzATDBL4EuQSwBKAEhgRpBE0ENgQoBCAEHQQcBBsEGwQbBBwEHAQYBA8EAAPrA88DrgOIA14DMgMGAtkCrAKAAlUCLgIOAfcB6gHoAe4B+gIJAhgCKgI/AlkCdwKUAqkCrQKaAmwCKQHgAZ4BdAFpAX0BqwHoAiwCcQKwAuUDCAMSAv0CzQKJAkAB/gHOAa8BngGVAZMBmgGvAdQCBwI+AmoCgQJ8AlwCKgHxAbkBiAFgAUABKAEXAQ0BCwESASIBQAFxAboCGgKOAwgDeQPSBA4ELwRBBE8EZQSDBKYExgTiBPwFGwVFBXoFsQXgBfsGAwX8BfQF8wX/BhMGKQY6BkMGRgZFBkEGPAYyBiMGFAYIBgQGCAYRBhwGJQYrBjAGNQY6Bj4GQwZOBmcGkwbPBxEHTAdyB4IHgweAB4UHlAenB7YHvAe5B7YHugfHB9wH8ggHCBcIJwg2CEYIUwhbCGEIZwhyCIUInAixCMEIyQjNCNII2gjnCPYJAwkOCRkJJgk1CUUJVAlhCW0JegmHCZYJowmtCbUJvgnKCd0J8goIChkKJgovCjYKPgpGCk0KUwpXClkKXQpjCm0KeQqGCpQKogqsCrMKuQrBCswK3ArvCv8LCAsHCv0K7wrjCtsK1wrTCs0KxAq5CrEKrQqrCqoKqAqjCqcKogqgCqEKpAqlCqQKngqVCocKdwpnClsKWApbCmMKaQpoCmAKVwpSClYKYQpsCnEKbgpnCmYKcgqLCqcKuAq2CqIKhQpuCmcKcQqFCpoKqgq4CscK2wrxCwULEgsaCyILMgtQC3YLnAu3C8ELvgu2C7QLvgvVC/QMEwwvDEQMVQxlDHcMjQypDMkM6g0JDSINNQ1FDVQNZQ17DZMNqg2+Dc4N2w3oDfgODQ4jDjkOSw5ZDmEOaA5vDnkOhg6TDp4OoQ6cDpMOjQ6RDqMOvQ7VDt0OyQ6ZDlUOEw3mDdoN8g4hDlUOfA6MDoYOcw5fDlMOUA5UDloOYQ5oDnYOjA6oDsYO4Q73DwoPHw85D1kPeg+YD7MPzA/oEAgQLRBQEG8QiRCjEMQQ7xEfEU8RdRGREagRwRHiEgoSMxJWEm0SfRKMEp0SrxK+EsQSvxK2EqwSpxKnEqkSrRK7EtgTChNKE4QTohOWE2ATDRK2EmwSNhIREfQR4BHZEesSFRJOEn0ShxJgEgwRohFBEQAQ6RDzEQsRHhEgERMQ/hDrEOIQ4hDmEOcQ3hDIEKgQhRBkEEoQNxApEB0QEhAIEAIP/g//EAAP/Q/0D+EPww+dD3EPQg8UDu0Ozg64DqoOpA6iDqQOpg6lDp8Okg59DmUOTg45DicOFA39DeENwg2nDZcNkw2XDZwNnQ2XDY4Nhw2HDYwNlA2ZDZsNmw2aDZsNnQ2dDZkNkw2MDYcNhA2CDX8NeQ11DXYNgA2UDbEN1A39DiwOZA6hDt0PDQ8mDyMPCA7eDrAOhw5jDkMOJA4DDeANuw2WDW4NRA0XDOkMuwyJDFAMCQu1C14LEwrjCtQK3grvCvEK1gqcCk4J/gm3CX8JUAkkCPkI0AiwCJwIkAiGCHMIUggoB/kH0AeuB5AHcwdQBycG/QbVBrMGlQZ4BlkGOAYWBfYF2QW/BaQFhQVjBT8FGwT4BNYEtASRBG4ESgQmBAMD4QPAA58DgQNlA0oDLwMRAvACzQKoAoUCYwJDAiIB/wHcAbkBlwF3AVkBPAEeAP4A3AC4AJMAbQBIACQAAP/d/7z/nf9//2P/Rv8p/wj+5P6+/pj+dP5W/jz+Jf4N/fL90/2v/Yv9Z/1G/Sb9B/zn/Mf8qPyJ/Gv8Tfwv/A777PvK+6r7jPtv+1L7Nvsa+v364frE+qX6hPpi+kD6H/oB+eb5y/mv+ZL5c/lU+TX5Gfj/+Of40vi/+K34m/iH+HL4XfhL+Dz4MPgj+BL3+/ff98X3sfeo96b3p/ek95n3h/dz92L3VfdM90L3N/co9xn3C/b+9vP25vbY9sr2vva19q32pvae9pP2ivaF9oT2ivaT9p32pvau9rT2ufa89r32v/bE9sz21vbh9ur27vbu9u727/bz9vn3APcE9wf3CfcL9w/3FPcZ9x33Ivco9y73NPc49zr3PfdB90n3UvdZ91/3Y/dp93b3iPec96v3sPer96X3pvez98v35vf8+An4D/gU+B/4MPhD+FP4XPhh+Gf4c/iC+JD4mPiY+JL4jfiO+Jf4pPis+Kr4mvh9+Fj4MfgP9/r38/f7+Az4IPgv+Db4N/g2+Df4PPg++Dr4Lvgc+Az4BvgJ+BL4GPgW+Az4APf69/74CvgY+CD4Ifgd+Bj4FfgR+Av4Aff39/D38ff4+AD4Avf59+r33PfY9+H3+PgY+Dv4XPh4+Iv4lPiR+IT4c/hl+F74Xfha+Ez4MfgN9+v30/fH97/3sveb94T3eveL97n3+Pgz+FX4WfhH+DL4KPgt+Dr4RfhF+Dz4Mvgw+Dn4SfhZ+GH4XPhM+DX4GvgA9+j31PfF97v3svel95D3cvdM9yH28fa89oD2PfX69b31j/Vx9V/1U/VG9Tf1KfUd9RX1EPUI9Pz07/Tk9N/04PTj9OL02fTK9Ln0q/Sk9KH0n/Sd9Jj0k/SQ9JH0lfSa9J30nvSe9Jz0mfSU9I/0ivSJ9I30lfSg9Kn0sPS09Lb0uvS/9Mf0zvTU9Nn04PTp9Pb1BfUV9SL1LPUz9Tj1PvVF9U71WPVj9W71ePV/9YX1ivWO9ZT1m/Wj9az1tfW+9cf10fXa9eP17PX09fz2BPYN9hb2H/Yo9jH2PPZH9lT2YPZr9nb2gfaN9pv2qfa39sT2zvbX9t/25/bv9vf2/vcF9w/3G/cq9zr3RvdM90n3Pvcu9x33DvcE9wL3B/cS9yL3NfdI91v3a/d694f3k/ee96n3s/e898T3zPfT99v34/fs9/X3//gI+BD4FfgZ+Bz4H/gk+Cz4N/hC+E74Wfhj+G74ePiB+Ij4jviR+JT4l/id+KT4rvi7+Mn42Pjn+PT4/fkB+QD4/Pj3+PX49fj4+Pz4/vj7+Pb47fjj+Nf4y/i6+Kb4jvh0+Fv4Rvg1+Cn4I/gh+CX4L/hA+Fj4cviM+KL4s/jB+Mz42fjn+Pn5Dfkh+Tb5S/lg+XT5h/mY+af5tfnC+c/53fns+fv6DPoe+i/6P/pP+l76bPp5+oj6l/qm+rX6xPrS+uH68Pr++wv7Fvsg+yr7NftB+077Wvtk+2z7dPt8+4P7ifuO+5H7k/uW+5n7nfuf+577mvuU+477ivuK+4z7jvuQ+5D7jfuK+4f7hPuB+3/7fPt6+3j7d/t0+2/7avtk+2D7Xvte+2D7Yvti+2L7X/td+1r7V/tU+1D7S/tG+0L7QPs/+0H7RftI+0z7UPtU+1n7Xftf+2H7Yfti+2X7a/t1+4D7ivuT+5r7ovut+7370Pvj+/L7/fwG/A/8Gvwp/Dj8RfxO/FP8Vvxa/GP8b/yA/JD8oPyt/Lb8vPy9/L38u/y7/L38wfzF/Mf8x/zH/Mj8zPzV/OL88v0E/Rf9K/0//VP9Zv14/Yj9mP2m/bP9vv3I/dH93f3t/gD+F/4s/j/+Tv5c/mr+e/6O/qH+s/7E/tb+6/8E/yD/Pf9Z/3P/jf+q/8v/8AAVADcAVQBvAIgAowC/ANwA9gEPASYBPgFZAXUBkQGpAb0BzgHdAesB9AH2Ae4B3AHHAbYBsQHAAeUCIwJ5AuIDUgO7BAoENAQ3BB8D/gPoA+gD+QQNBBID/gPTA58DdANeA2IDfQOlA9QEBQQ3BGgElQS5BNEE3gTiBOIE5ATpBPEE+gUBBQQFBAUABPoE8wTrBOME2wTQBMMEsgSgBI8EfwRxBGQEUwQ9BCMEBgPrA9MDwAOwA6ADkQOFA38DfgOCA4UDggN1A2ADRQMqAw8C9QLaAroClQJrAkECGQH3Ad0BzAHGAcwB4AIBAi4CYQKVAsQC6QMFAxoDLQNCA1YDYwNgA0cDGALdAqYChgKJArMC/gNeA8cELwSNBNgFBQUMBOgEnQQ3A8sDagMhAvEC1gLHAsECwgLRAvEDIQNZA4wDrQOzA5oDZQMaAsMCaQIUAc0BmAF4AWsBbQF7AZQBtwHoAioCfQLdA0EDngPrBCAEPwRPBFcEYgRzBI0ErATRBPoFJwVZBYwFugXdBe8F8gXsBegF7AX8BhQGKwY7BkEGPQY1BisGIQYYBg4GBAX9BfwGAQYLBhgGIwYsBjAGMQYwBjAGNAZBBl0Ghga6BvEHIgdHB2IHdgeLB6QHvgfSB94H3wfbB9cH2QfhB+wH+AgDCBAIIQg2CEsIWwhkCGgIbAh2CIYImwivCL0IxQjLCNEI2gjkCOwI8Qj1CPsJBwkYCS0JPwlPCVoJZQlxCX8JiwmWCZ8JqAm1CccJ3QnzCgUKEQoZCiAKJwovCjYKOwo+CkEKRgpOClgKZApxCnwKhwqPCpcKnwqpCrcKyArbCuwK9wr7CvcK8AroCuIK3QrYCtAKxgq9CrgKtgq3CrcKtAquCq4Krwq1Cr0KwgrACrYKpQqOCngKZApWClIKVwpkCnQKggqKCo0KjQqQCpcKoAqjCpwKjQp+CngKggqaCrMKvwq1CpcKcwpaClUKZgqDCqAKswq9CsMKzArbCu0K/wsPCx4LMAtGC10LbgtzC2sLXAtRC1ELYQt9C58LwAvaC/AMAwwYDDEMTgxvDJEMswzSDOwNAQ0SDSANMg1HDWANew2SDaYNtw3JDd8N+g4XDjMOSA5UDloOXg5kDm8OfA6DDn8OcA5aDkoOSA5cDn4Oow65DrIOiw5MDgkN1g3BDdAN+Q4tDloOdA53DmkOUw5ADjUOMw44DkAOSQ5UDmIOdQ6NDqgOwg7cDvcPEw8yD1IPcQ+MD6QPvQ/ZD/kQHBA9EFsQdRCQELIQ2xEIETMRVxFzEY0RqBHLEfISGxI/El0SdhKMEqASsRK8Er0SuBKyEqwSpRKaEoYSaxJUEk4SYBKHErQS1RLZEsASkhJeEjASChHqEc4RuxG6EdISAxI9EmgSbBJBEe0RhxEpEOQQvxCzELUQuxDDEMwQ2hDsEP0RCBEIEPkQ3xC9EJgQdhBZEEAQKxAZEAoP/g/2D/MP8w/0D/MP7A/cD8MPoQ94D0wPIA76DtsOxg66DrYOtg63DrgOtg6wDqMOkQ55DmEOSw47Di8OIQ4MDe8Nyw2qDZINhw2HDYsNiw2HDYANfQ2ADYwNmg2lDaoNqA2lDaMNow2lDaQNoA2ZDZINjQ2IDYQNgA18DXwNhA2VDa0Nyw3rDg0OLg5PDmsOfw6FDn4Oaw5UDj4OLQ4eDg8N/A3lDcgNpg2ADVINHwznDLEMfQxJDBALyQtxCxAKtApxClMKVwprCnoKcApICg0JzwmbCXYJWAk1CQcIzwiZCG8IVwhMCEQINAgWB+8HxQeeB3wHXgc+BxkG8AbJBqYGiQZvBlUGOAYYBfYF1QW2BZgFewVbBTgFFATvBMsEqQSJBGoESwQqBAgD5QPCA6ADggNmA0sDLwMRAvACzgKtAowCbAJMAisCCAHlAcMBowGGAWkBSgEpAQUA3wC4AJEAawBGACMAA//k/8j/rP+Q/3P/VP80/xT+8v7Q/q7+jf5v/lP+OP4d/f/93v26/Zb9c/1T/TX9F/z4/Nj8t/yX/Hn8Wvw7/Br7+PvV+7X7mPt++2X7Svss+wz67PrL+qv6i/pq+kn6KfoK+e750vm3+Zr5e/lb+Tv5HfkB+Or41/jG+LX4o/iP+Hr4ZvhV+Ef4PPgv+B34Bffp98/3uvet96f3oveb94/3f/dv92H3VvdN90L3Nvcn9xf3Cvb99vH24/bV9sf2vPaz9qz2pfab9pD2hfZ+9n32gfaJ9pL2mfag9qX2qfas9q72sPaz9rj2wfbK9tP22vbd9t/24fbl9ur28Pb19vn2/Pb+9wH3A/cF9wf3C/cP9xT3GPcb9x33H/ck9yz3Nvc+90T3SfdP91v3bPd+94z3kfeP94r3i/eW96v3xPfa9+v39/gC+BD4Ifgw+Dv4QfhF+Er4Vvhl+HX4f/iB+H74evh7+IP4jviY+Jv4kvh8+Fv4NPgO9+/33/fd9+j3+fgJ+BT4Gfgd+CL4Jvgm+B74D/f89+335/fr9/T3+/f69/T37vfs9/D3+Pf89/z3+Pf09/L38ffr9973yve597T3vPfO99z32vfF96n3lfeb97738fgi+D74P/gp+A73+/f4+AP4E/gg+CT4HvgO9/b32/e+96X3kveD93X3ZfdU90j3Svdf94T3sffW9+n36Pfc99L30vfd9+339vf19+j32ffN98j3yvfM98z3xfe596r3mPeF93P3ZPdY9073Q/cx9xb28fbC9o32VvYc9eL1qPVz9Uj1KPUU9Qf0+vTq9Nn0yPS99Lj0tfSx9Kj0nvSW9JT0l/Sb9Jr0kPR99Gn0WPRQ9E70UPRQ9E30SPRF9EX0SfRP9FX0WPRZ9Fn0V/RT9FD0TPRK9Ez0UfRZ9GH0afRv9HT0efR/9IX0jPSS9Jj0nvSl9K/0vPTK9Nj04/Tr9PH09fT79QL1DfUZ9Sb1MfU69UH1R/VO9VX1XvVo9XD1ePV/9Yf1j/WY9aL1rPW29cD1y/XW9eD16fXx9fn2AvYN9hv2KvY49kT2T/Zb9mb2c/aA9o32mfak9q72t/bB9sv20/bc9uX27/b89wr3F/ci9yn3K/co9yL3GvcR9wn3A/b/9v/3AfcG9w33Fvck9zb3S/dj93n3jPeb96X3rve29773yPfS99z35ffu9/b3/fgD+An4D/gV+Bz4Jfgu+Df4QPhI+FD4WPhh+Gv4dfh++If4j/iW+Jv4nvij+Kn4tPjD+Nb46Pj4+QP5CfkK+Qn5CfkK+Qr5CvkH+QP5APj++P/5AfkB+P349Pjm+Nb4xPiw+Jv4g/hr+Fb4R/hC+Ej4WPhs+IL4lPij+K74ufjE+NL44/j5+RH5LPlI+WP5fPmT+aX5tvnE+dL53/nt+fv6C/oc+i36PvpM+ln6ZPpw+n76jPqc+qv6uPrE+tD63Prn+vL6/fsH+xH7HPso+zb7Q/tQ+1z7Zvtv+3f7ffuC+4X7h/uJ+4v7jvuQ+5D7jfuH+4H7fPt5+3n7evt7+3v7eft2+3P7bvtq+2f7Y/th+2H7Yfth+2D7XftZ+1T7UPtN+0v7S/tM+037TftN+0v7SftF+0H7Pfs5+zf7Nvs3+zj7Ovs8+z77QvtH+077Vfta+1z7Xftc+137YPtn+2/7d/t++4X7jvua+6n7uvvL+9n75fvw+/78EPwk/Df8RfxP/FX8Wfxg/Gr8dvyE/JD8mvyh/Kf8q/yu/LD8sfyv/K38qvyn/KT8o/yl/Kv8tfzD/NT85/z9/RT9LP1D/Vn9bP1+/Y79nv2t/bv9xv3P/db93v3r/f3+Ef4m/jj+Rv5S/mD+cf6F/pj+qf63/sT+0/7o/wL/IP8//1z/ef+X/7j/2//+AB8APgBbAHgAlQCyAM4A5wD9ARIBKQFDAV8BegGUAawBwQHWAecB8QHzAesB3QHNAb8BtQGxAbQBxgHvAjcCnwMcA5cD+AQvBDoEKAQNA/sD+gQBBAQD9QPSA6MDdwNcA1sDcgOcA9IEDQRIBIAErwTTBOgE8QTyBPEE8gT6BQYFEwUcBR8FGgUOBP0E6ATRBLoEogSJBG0EUQQ3BCIEEwQIA/8D8gPgA8kDsAOWA34DZQNLAzADFgMDAvsC/gMHAw4DCwL6At4CvAKdAoICawJUAjkCFwHzAdMBvQG1AbsBzQHrAhECQwKAAsoDGwNsA7ID5AP+BAMD/QP3A/cD+wP+A/QD2gO0A4wDcwN3A5wD4AQ5BJ0FAQVdBakF3AXsBdQFlgVABOQEkgRWBDEEHgQSBAoEBgQKBB4ERAR5BLME6AUKBRAE9AS2BFwD8wOIAy0C7QLMAscC2AL1AxgDQANuA6ED2gQXBFEEhgSvBMkE0wTPBL4EpwSSBIcEjQSlBM4FBQVABXkFqQXKBdoF3QXXBdIF0gXbBesF/QYMBhIGEgYNBgYGAAX7BfUF7wXoBeIF4AXjBesF9gYABggGDwYVBh0GKwZBBl8GhQavBtoHAwcrB1UHgAesB9QH8ggCCAQH/gf4B/UH+QgACAUICAgLCBEIHwgyCEYIVwhhCGYIaghzCIEIkgiiCK4Itwi/CMkI1AjdCOEI4QjhCOQI8AkDCRgJKwk4CUIJTAlYCWYJdAmACYkJkgmeCbAJxgndCfEJ/woJChAKFQoaCh0KHwohCiQKKwo2CkMKUQpdCmcKcQp6CoQKjQqWCqAKrAq4CsYK0wrdCuMK5wrnCuYK4wrdCtUKywrDCr4KvAq8CroKtgqxCqkKrgq4CsIKxgrACq8KmAqBCm4KYwpiCmsKegqMCp4KrQq3CrwKwArECskKzArHCrcKoAqJCnkKeAqCCo4KjwqACmQKSAo3CjsKUQpvCokKlwqcCp8KqAq6CtIK6wr/CwwLFgsdCyILJAsgCxkLEwsTCx4LNAtPC2oLgQuUC6cLvgvaC/sMHAw7DFcMcQyJDKAMtAzFDNUM5gz7DRMNLw1LDWQNfA2UDa4NzA3qDgQOGA4jDiwONg5GDlkOaA5sDl4OQg4kDhIOGA41Dl4OgA6HDmwONA3wDbYNmQ2dDcAN8Q4iDkQOUg5ODj4OKQ4YDg8ODw4XDiMOMg5CDlIOZQ55DpEOrA7KDuoPCw8rD0kPZQ99D5QPrA/HD+UQBRAkEEIQXhB8EJ0QwxDpEQ8RMRFQEW8RkBG0EdgR+xIcEjoSWBJ2EpASoxKrEqkSoBKYEpESixJ+EmYSRBIgEgUR+xIDEhMSHxIgEhIR/hHpEdYRwxGtEZURgxGBEZYRvxHtEgoSBxHdEZcRSBECENAQtBCpEKkQtBDIEOYRCxEtEUMRRRExEQ0Q4BCzEIwQbBBSEDkQIhALD/gP6g/jD+EP4Q/fD9gPyQ+xD5QPcQ9MDygPBw7rDtcOyw7FDsQOxQ7EDsEOuw6wDqAOiw5xDlgOQg4yDicOHQ4NDfUN1Q20DZgNiA2CDYINgg1/DXwNfA2DDZANoA2tDbMNsg2vDawNrQ2uDa0NqQ2hDZgNkA2LDYgNhA2BDYANhQ2SDaYNvw3WDeoN9w3+DgAN/Q32De4N5w3kDeUN6g3tDeoN3w3LDbANjw1pDTsNBgzNDJUMYgw0DAMLxAtwCwgKmgo6CfkJ2wnVCdYJygmsCYQJYQlQCVEJWAlRCS8I8ginCGEIMQgaCBMIDQf9B94HtQeLB2YHSAcrBwsG6AbCBp0GfwZlBk4GNAYWBfQF0QWvBY8FcgVTBTIFDgTnBMIEngR/BGIERgQnBAcD5APBA58DgQNjA0YDKAMIAucCyAKpAowCbgJPAi4CDAHrAcwBsAGTAXQBUQEqAQEA1wCvAIkAZABBACAABP/q/9P/u/+h/4L/YP88/xn++f7Z/rr+nP59/l7+QP4i/gL94f2+/Zv9e/1c/UD9I/0E/OP8wfyg/ID8YfxC/CH7//vd+777ovuL+3P7Wvs8+xr69/rT+rL6kfpy+lH6MfoR+fT51/m8+aD5gvli+UL5JPkJ+PL43vjM+Lr4p/iT+H74bPhd+FD4Rfg4+Cb4EPf39973yve59633ofeU94b3ePdr92H3WfdQ90T3Nvcm9xf3Cfb89vD24fbS9sP2t/au9qb2nfaR9oT2ePZw9m72cvZ59oL2ivaQ9pb2m/af9qH2ovaj9qf2rfa29sD2yPbO9tL21PbV9tf22vbd9uL25vbr9u/28fby9vL28/b19vn2/Pb+9v/3AvcG9w73GPch9yf3LPcy9zz3S/db92n3cfdy93H3c/d99473o/e498r32vfp9/j4CPgW+CD4Jvgr+DP4P/hN+Fr4Yvhk+GH4X/hg+Gj4c/iA+In4iPh7+GH4PPgT9+730/fI98r31ffj9+/3+fgC+Av4EfgQ+AX38ffa98j3wPfE98/32vfh9+P34/fj9+P34Pfa99H3yvfI98r3y/fC9633kPd593L3gPeY96n3pPeK92z3Yvd/98D4EPhO+F74PPf597P3hvd995H3sPfG98r3vfeo95T3g/d192P3Tfc09xz3DfcM9xj3MfdQ93D3h/eT95L3iveC94L3i/ea96f3rfeo95v3ivd79233YvdW90n3PPcw9yX3G/cP9wD27vbZ9sP2qvaM9mj2PPYK9dX1oPVs9Tv1EPTs9NP0xPS89LX0qfSX9IL0bvRi9Fz0XPRb9Fj0UfRK9Ej0SfRM9Ev0QvQx9B70DvQE9AD0AfQB8//z+/P58/rz/vQD9Aj0DPQN9A30DPQK9An0B/QH9Aj0DPQT9Bz0JvQv9Db0O/RA9ET0SfRO9FP0WfRg9Gn0dvSF9JT0ovSt9LT0uPS89MH0yfTU9OD06/T09Pr1APUI9RL1HvUq9TT1O/VC9Uj1T/VZ9WP1bvV59YX1kvWf9av1tfW+9cb10PXb9er1+vYJ9hf2I/Yt9jj2Q/ZP9lr2ZfZv9nj2gvaN9pn2pvaz9r/2yvbV9t726Pbx9vr3BPcM9xP3FvcW9xL3C/cC9vj27/bo9uP25Pbs9vv3EPcp90H3Vvdm93L3fveL95n3qPe298H3yvfS99n34vfr9/X3/vgG+Az4E/ga+CL4Kvgx+Dn4QPhI+FD4W/hn+HP4fviH+I34kPiS+Jb4nfir+L741Pjp+Pn5A/kG+Qb5BPkD+QL5AvkC+QL5A/kH+Q75F/kf+Sb5K/ku+S/5Lfkm+Rf4//je+Lr4l/h9+G/4bfh1+IP4kvig+Kv4tfi++Mn41/jo+Pz5Evkp+UD5Vvls+YD5lfmq+b/51Pno+fr6Dfoe+i76PPpH+lH6Wvpk+nH6gPqP+pz6qPqy+rr6xPrP+tv65/rz+v77CvsX+yT7Mvs/+0r7VPtc+2T7a/tx+3b7evt9+4D7gvuE+4T7gft7+3T7bfto+2X7ZPtk+2T7Y/tg+1v7VvtR+037SftH+0b7SPtL+077T/tO+0r7Rfs/+zv7Ofs4+zn7Ovs6+zn7N/sz+y77K/so+yf7J/so+yj7Kfsp+yv7MPs3+0H7S/tU+1n7Wvta+1n7Wvtd+2L7Z/ts+3H7ePuB+4z7mvuo+7b7xfvW++n7/vwS/CT8Mvw9/Eb8UPxd/G38fPyI/JH8lfyW/Jf8mPya/Jv8mfyW/JD8ivyF/IP8hfyM/Jf8pvy4/Mz84fz5/RL9LP1F/Vz9cP2B/ZD9oP2x/cD9zv3Z/eD96P3z/gH+Ef4i/jD+PP5I/lb+Z/56/oz+m/6n/rH+v/7S/uz/Cv8r/0v/av+J/6j/x//nAAUAJABEAGQAhQCjAL0A1ADoAP0BFQExAU0BaAGBAZoBswHNAeQB8gH1AesB2wHJAbwBsQGmAZcBigGOAbQCCgKMAyUDuAQlBFwEYgRHBCUECwP+A/gD6wPTA68DigNvA2kDegOiA9cEEgRNBIEEqwTJBNsE4wTmBOYE6QTtBPME+QT7BPkE7wTeBMYEqwSNBG4ETwQwBBAD8APVA8IDugO8A8QDywPOA8kDvQOqA5MDdwNZAzoDHwMOAwsDFAMiAy4DLAMbAv0C2QK1ApcCewJgAkECHwH/AekB4wHxAhICQQJ4ArUC+ANDA5cD8QRJBJIEwQTOBL4EnQR4BF4EUwRRBE8ERAQtBBID/AP4BAwENgRwBLQE+gU/BX0FrQXHBcgFsAWFBVUFLAUQBQEE+wT2BO8E6ATnBPEFDQU6BXMFsQXqBhAGGAX+BcIFcQUaBNIEpgSZBKkEywT1BSEFSgVvBZAFrAXCBdIF3QXkBeMF1wW4BYMFPATuBKgEfARyBIsEvwT/BT8FdQWbBbEFugW4BbEFqwWoBasFtAXABcsF0wXXBdcF1AXPBccFvQWwBaMFmAWSBZMFmgWlBbIFvwXQBeYGAwYoBlQGgQatBtcHAQcwB2UHngfWCAIIHQgjCBwIDwgGCAYIDggZCCAIIgghCCIIJwgyCD4ISAhPCFQIWwhmCHQIggiOCJYIngioCLUIwgjMCNEI0gjTCNkI5gj3CQkJFwkgCScJLwk7CUsJWglmCXAJeQmGCZgJrwnHCd0J7Qn5CgEKBQoHCgcKBQoFCggKEQofCi4KPgpMClkKZgpzCoEKiwqSCpUKmAqdCqUKsgrBCs4K2QrgCuIK4greCtkK0wrNCskKxQrACrkKsQqrCqQKpAqmCqgKpAqZCogKeQpvCnEKfAqPCqUKuArHCtAK0wrQCssKxgrDCsIKwgq+CrIKnwqICnEKYApUCksKPwovCh4KEwoTCiIKOgpTCmMKaQpqCm0KeQqPCqoKwgrQCtQK0QrLCsgKyArLCtIK3QrtCwILGAssCzwLSAtVC2cLggulC8kL6gwEDBcMKAw5DE4MZAx6DI4MoQy2DM0M6A0FDSINPA1VDW0NhQ2bDa4NvQ3JDdgN6w4EDh4OMA4zDiQOCg3zDe0N/Q4fDkIOUg5DDhQN0g2UDW0NZw2ADawN2w3/DhQOGA4QDgMN9Q3qDeUN6A30DgYOHQ4zDkcOWg5uDoQOnw6/DuEPAg8gDzoPUQ9mD30Plg+xD80P6RAFECIQPxBfEIAQohDEEOYRCBErEVARdhGaEboR1hHwEgwSLBJNEmsSfxKFEoASdRJrEmUSYRJZEkgSLhIQEfMR3xHTEcsRwxG4Ea4RpxGjEaERmhGJEXERWRFMEVERZRF5EYERcRFMERsQ7BDMEL0QvhDJENsQ9hEZEUMRbBGIEY4RdxFKERAQ1RCiEHsQXhBFECwQEg/6D+QP1g/OD8oPxw/AD7IPnA9/D2APQA8iDwgO8w7jDtgO0Q7ODswOyQ7DDrsOsA6iDpEOfQ5lDk0ONg4jDhYODA4ADe4N1g27DaINjw2EDX4New15DXcNeQ2BDY0NnA2oDa8NsQ2yDbMNtQ22DbQNrA2iDZcNkA2NDY0NjQ2MDYsNjg2WDaMNsw3BDcgNyA3BDbcNrQ2lDaENow2rDbgNxA3MDcsNwA2rDY8NcA1MDSIM8Qy6DIEMTQwgC/QLvgt1CxUKpwo7CeQJqwmLCXgJYAk/CRsJAQj+CRIJLwk+CSwI8wigCE0IDgfvB+kH7AfnB9AHqgd9B1QHNAcaBwEG4wbABpsGeAZbBkIGKgYPBe8FywWoBYYFaAVKBSoFBwThBLsElwR2BFkEPAQdA/0D2wO6A5oDewNeAz8DIAL/At8CwQKlAooCbgJQAjACEAHyAdUBuAGZAXMBSQEcAO8AxgChAH8AXwA/ACEABv/x/97/yf+w/5D/av9D/x3++/7c/r7+nv5+/lz+PP4d/f793/2//Z/9gP1j/Uf9K/0M/Ov8yPym/Ib8Z/xI/Cj8Bvvj+8P7pvuO+3b7XftA+x76+vrX+rX6lPp1+lb6NvoW+fj52/m/+aP5hflm+Uj5LPkS+P346PjU+L/4qPiS+H74bfhf+FP4R/g5+Cj4FPf/9+r31/fG97X3pPeT94P3dvds92X3XfdT90b3Nfck9xT3Bvb59uz23fbN9r72sPal9pv2kfaF9nn2bfZm9mP2ZfZr9nL2efaA9ob2i/aP9pH2kfaS9pX2mvai9qv2tfa89sH2w/bD9sH2wPbA9sP2yPbO9tT22Pba9tr22/bc9t/24vbk9uX25vbp9u729vb+9wX3C/cS9xv3KPc290T3TfdS91X3WPdh92/3gfeV96n3u/fM99z37Pf6+Ab4EPgZ+CT4L/g6+EP4R/hI+Eb4RfhI+FD4XPhr+Hf4fPh0+F74O/gQ9+b3xfey9633s/e/98z32ffm9/P3/Pf89/D32fe996b3mved96n3uffH99D31PfU9873xPe296j3n/ed96H3ofeW9333X/dH90T3VPds93r3cvdX9z/3Rfd39874K/hm+GT4I/e/9173IvcW9yz3Svda91T3P/cp9x33GvcY9wz28fbO9rH2qPa69uP3FvdE92H3avdj91T3R/dC90f3Uvdd92P3YPdX90j3Ofcp9xn3B/bz9t72y/a69qz2n/aN9nT2VfYw9gj13/W19Yr1X/Uz9Qn04fS99J30g/Rw9GX0YfRh9F70VfRF9DD0HfQQ9Av0DfQQ9BD0DPQE8/3z+fP28/Tz7vPj89XzxvO787Pzr/Ot86vzq/Or863zsvO287rzvPO887zzvPO9873zvvO/88HzxvPO89jz4vPs8/Tz+vP+9AH0BPQJ9A/0FvQf9Cn0NvRG9Fb0ZvRz9Hv0f/SC9Ib0jfSX9KL0q/Sy9Lb0uvTC9M302/Tq9Pf1APUG9Qz1E/Ub9SX1MPU79Uj1VfVj9XL1f/WM9Zj1pfWy9cH10fXg9e31+PYC9gz2FvYh9iz2NvY/9kj2UPZa9mb2dPaC9pL2oPas9rf2wPbI9tH23Pbo9vP2/vcE9wf3BfcB9vz29fbu9uj25Pbl9uv29fcD9xH3Hfcp9zX3RPdV92r3ffeO95r3o/eq97L3vffL99j35Pft9/X3/PgE+A34F/gi+Cv4NPg7+EL4SfhQ+Fn4Yvhr+HT4e/iB+If4j/ic+K34wPjT+OL47Pjw+PH48Pjw+PL49vj7+QD5BfkK+Q/5Ffkc+SP5K/k1+UH5TPlU+VT5SPkw+Q/47PjM+LX4qfim+Kv4s/i7+MT4zPjU+N345/jz+P/5C/kW+SL5Lvk9+VD5Z/mB+Z75uvnU+ev6APoS+iP6Mfo8+kb6UPpb+mf6dfqD+o/6mPqg+qj6s/q/+s763frr+vn7BfsR+x77Kvs0+zz7QvtH+0v7UftY+1/7Zvtr+2/7cftz+3L7cPtr+2T7XftX+1P7UftQ+0/7TftK+0b7Qfs8+zf7NPsy+zH7Mvs1+zn7PPs9+zv7Nvsw+yr7J/sl+yb7KPsq+yv7Kfsl+yH7Hfsa+xj7GPsY+xf7F/sX+xn7Hvsn+zP7QPtM+1T7WPtZ+1j7WPtZ+1v7Xftg+2L7Zftr+3L7ffuL+5z7rvvC+9f76fv6/Af8E/wg/C/8QPxU/Gf8d/yC/In8i/yM/Iz8i/yJ/IT8fvx2/G/8afxm/Gj8bfx3/IX8lvyq/MD82Pzy/Q79Kv1E/Vv9b/1//Y79n/2x/cP90/3g/er98v36/gT+EP4c/ij+M/4//k7+Xv5v/n7+i/6W/qH+sP7E/t7+/P8b/zv/W/95/5f/s//O/+kABgAnAEsAbgCPAKkAvQDQAOYBAQEgAT4BWQFwAYUBngG8AdoB8QH6AfMB4QHMAb0BsQGkAY8BdgFkAXABrQIjAsQDcQQGBGgEjgSFBGIEOwQdBAkD9gPeA74DngOJA4cDngPJBAEEOgRrBJAEpwS1BL0EwwTJBM4E0QTQBMoEwQS2BKgElwSCBGgESwQtBBID+wPmA9MDwAOxA6oDrwPCA+AEAwQjBDsERgRGBDsEKgQUA/8D7QPlA+cD8wQDBBAEEwQHA+8DzgOqA4UDYQM8AxQC7ALIAq8CpgKxAs8C+wMxA20DsAP5BEkEmwTnBSIFQQVABSEE8QS/BJkEhAR/BH4EeQRsBFkESARCBEwEZQSKBLUE4gUOBTgFXAV2BYMFgwV5BWsFXwVZBVYFVAVQBUoFRQVEBUwFYAV+BacF2AYMBjkGWAZhBlEGMQYMBfEF6gX7BiAGUQaGBroG6AcOBykHOAc7BzUHLAckBxoHAwbSBn4GCQWCBQEEnwRrBGYEggSwBN0FAQUaBSkFMQUzBTEFKwUmBSYFLwVABVYFawV5BX4FegVvBWAFUAU/BTAFJAUfBSEFKgU4BUkFXgV3BZgFxAX4BjMGbwamBtoHDQdCB30HuQfxCBoILgguCCIIEggKCAwIFwgmCDEINwg4CDcINwg4CDkIOgg8CEEISwhZCGcIdAh8CIIIiQiTCKEIsAi8CMQIyQjPCNkI5wj2CQMJCgkOCRIJGgkmCTUJQwlOCVcJYQlvCYIJmQmwCcQJ1AnhCeoJ8Qn0CfUJ9An0CfkKAwoRCiEKMQo/Ck4KXgpxCoIKjwqVCpQKkQqRCpYKogqxCr8KyQrPCtEK0QrRCtIK0grSCtEKzQrHCr0KsgqpCrIKqQqcCo0KegpnClkKVQpeCnUKlgq4CtUK6QrwCu0K4ArOCrkKpAqUCosKigqNCo8Kiwp8CmUKSQorChEJ/AnuCeoJ7gn9ChIKJwo3Cj4KPQo5CjsKRQpWCmkKdgp6CnYKbQpnCmgKcQqBCpUKqwrACtYK6Ar3CwMLDgscCzILUAtzC5ULsQvFC9ML4QvzDAsMJwxDDF0MdAyJDKAMuQzVDPANCA0bDSsNOQ1FDVENXg1tDX8Nlw2wDccN1Q3XDc4Nww2/DcsN5g4FDhkOEw3tDbINdA1GDTUNRQ1pDZQNtw3LDdMN0Q3MDcgNxA3CDcMNyg3ZDfAOCg4kDjsOTw5iDngOlA61DtcO9g8RDyYPOg9PD2YPgA+cD7YPzw/nEAEQHRA8EFwQfBCcEL0Q4REHES4RVRF2EZERpxG+EdkR+hIcEjsSTxJWElESSBJAEjsSORI0EigSFRH+EegR1hHGEbcRqRGdEZcRlxGdEaERnBGLEW8RURE5ESwRJxEhEREQ9BDPEK0QmRCXEKcQwRDiEQcRMBFbEYURoxGsEZkRbBEuEOoQrRB+EFwQQhAsEBQP/A/kD9APwg+4D7EPqQ+cD4kPcA9TDzUPGg8EDvMO5w7eDtcO0g7ODsgOwA61DqcOmQ6KDnoOag5YDkMOLQ4YDgYN+A3rDd0NzQ25DaYNlA2FDXsNcg1sDWkNag1wDXoNhw2TDZ0NpA2rDbINtw24DbQNqg2dDZINjA2MDZANlg2aDZ0NoQ2mDa0Nsw20DbANpg2cDZINjg2NDZENlw2fDacNrQ2uDaYNlg1+DWMNRg0oDQUM2QyjDGcMLAv1C8ULkgtUCwUKqApICfUJuQmSCXgJWQkwCQAI1gjBCMMI1QjgCNIIoQhWCAgHzge0B7cHyAfRB8UHowd1B0gHJAcKBvUG3Qa+BpkGdAZTBjcGHgYEBeYFxAWgBX0FWwU8BRwE+gTXBLMEkARwBFIEMwQUA/ID0AOvA5ADcwNXAzkDGgL7AtwCwAKmAosCcAJSAjQCFwH7Ad8BvwGZAWwBOwEKAN8AvACfAIQAaABKACwAEv/9/+v/2P/A/5//d/9N/yX/AP7g/sH+oP59/ln+N/4Y/fz93/3D/aX9h/1p/U39L/0R/O/8zfyr/Iv8bfxP/DD8Dvvr+8n7qvuO+3T7Wvs++x76+/rZ+rf6l/p4+lj6Ovob+f754fnF+ab5h/ln+Ur5L/kZ+QT48Pjb+MP4q/iU+ID4b/hi+FT4Rvg2+CT4EvgA9+/33/fO9733q/ea94r3ffdz92v3YvdV90X3M/ch9xH3Avb19uj22fbJ9rn2qvad9pL2h/Z99nT2a/Zk9mD2YPZi9mb2bPZx9nb2efZ79nz2ffZ+9oH2hvaN9pX2nfak9qr2rvav9q72rPaq9qr2rfaz9rn2vvbB9sH2wvbE9sf2yvbN9s32zfbO9tD21fbb9uL26vby9vv3B/cV9yH3K/cw9zT3OPc/90z3Xfdy94j3nfew98L30fff9+z3+PgE+BD4Gvgj+Cn4Lfgv+DD4NPg5+EL4Tfha+GT4aPhi+E34K/gB99b3s/ef95j3nPen97T3wffQ99/36vfs9+H3yveu95X3h/eF94/3nver97T3uPe397D3pPeV94f3ffd593j3dfdo91P3PPcu9zL3RPdX9173Ufc59yz3QfeA99n4KvhN+C330PdY9vD2tvau9sb24fbo9tf2ufai9pr2oPak9pr2ffZX9jz2PfZe9pn22/cS9zD3Nvcp9xj3C/cI9wz3EvcV9xL3CPb69ur22/bM9rz2qfaT9nr2YfZJ9i72EPXs9cH1kPVd9Sv0/fTS9Kv0h/Rn9Ez0NvQl9Bf0DPQE8/7z/fP98/3z+PPu8+Dz0fPG88PzxfPL883zyvPB87TzqfOh853zmvOV843zgfNz82bzXPNX81XzV/Na81/zY/Nm82jzavNs823zb/Nw83LzdPN383vzgfOI85Hzm/Ok86zzsvO387zzwfPH88/z2PPi8+zz+fQH9Bf0JvQy9Dv0QfRG9Ev0VPRf9Gr0c/R49Hr0fPSA9Ir0mPSn9Lb0wfTI9M701PTc9OX07vT59QT1EfUh9TL1RfVY9Wr1fPWM9Zz1q/W49cT1zvXX9eD16vX19gH2DPYX9iD2KfYx9jr2RPZQ9l/2b/Z/9o72m/am9rD2ufbE9s722Pbg9ub26/bw9vT29/b69vr2+Pb19vP28vby9vT2+Pb+9wf3Ffcm9zn3TPda92X3bPdz9373i/eb96z3u/fI99P33ffn9/P4APgN+Bn4I/gs+DP4OPg8+ED4RfhM+FX4X/ho+HH4efiD+I/4nfit+Lz4yPjP+NT42Pjd+OP47Pj1+P35BPkI+Qn5CvkL+Qz5EPkX+SL5L/k8+UX5Rvk9+S35GPkD+PL45vjf+N343Pjd+N744fjm+O749/kC+Qv5E/kZ+R/5Jfkv+T75VPlt+Yj5ovm6+c754vn0+gj6Gvos+jz6S/pY+mX6cvp9+of6kPqZ+qL6rvq9+s363frs+vr7BfsR+xv7Jfst+zL7NPs1+zb7Ofs/+0b7TPtS+1X7V/tZ+1j7V/tT+0/7SvtF+0L7QPs/+z77PPs4+zT7L/sr+yf7JPsh+x/7Hvsf+yD7I/sk+yP7IPsb+xb7EfsP+xD7E/sX+xr7G/sa+xf7E/sP+wz7C/sK+wn7CPsI+wr7DvsW+yL7MPs9+0j7UPtU+1X7VftW+1b7V/tX+1f7WPtb+2L7bft9+5D7pPu3+8j71vvh++37/PwP/CX8PfxR/GH8a/xx/HT8efx9/IH8gvx8/HL8ZfxX/E38SPxI/Ev8UfxZ/GX8dfyK/KX8w/zj/QT9Iv09/VT9aP15/Yr9nf2w/cP91f3j/e799v3+/gX+Dv4Y/iP+L/48/kn+V/5k/m/+ef6E/pL+pf67/tX+7/8L/yj/Rv9l/4P/nf+1/8v/5AADACkAUAB0AJAApQC4AM4A6wEOATABSwFgAXEBhwGkAccB5wH6AfsB7AHXAcQBtgGpAZYBeQFdAVYBegHWAmUDEQO4BDwEiwSnBJ0EgQRfBD0EGgP0A84DrgOgA60D1gQSBFUEjgS0BMMEwQS4BLAEsAS4BMEExwTDBLcEpQSQBHsEZQRMBC8EEAPzA94D0wPRA9UD2QPeA+cD+gQbBEoEhAS+BPIFGQUzBUAFRAVBBTwFNgUzBTUFPgVMBVsFZgVpBWEFTAUuBQcE2wSrBHgERQQVA+wDzQO6A7UDvwPXA/wELgRqBK0E8QUsBVUFZgVdBT8FFATrBMwEvAS3BLYEsgSoBJwEkwSVBKQEvwTgBQMFJAVBBVkFbAV4BX0FfQV5BXQFcAVuBWsFZwVgBVoFWQVcBWUFcgWCBZMFqQXEBeQGBAYgBjMGPgZFBk8GYgaCBq0G4wcfB14HngfXCAUIIgguCC8ILQgtCCkIFgfhB38G8gZOBa0FKgTTBKUEkQSDBG8EUwQ1BB8EFQQWBBwEIwQrBDYESgRnBIoEqwTCBMoEwwSyBJ4EiwR8BHMEbwRzBH8EkgStBMwE8QUaBUwFhQXHBg0GUwaVBtIHDAdGB4IHvQfxCBcIKggsCCMIFggPCBEIGggmCDIIPAhBCEMIQwhACDwIOQg6CEEITAhbCGgIcQh3CHwIhAiPCJ0IrAi5CMMIzAjVCOEI7Qj4CP8JAQkDCQYJDgkaCScJMgk7CUMJTgleCXEJhwmaCakJtQnBCc4J2gnkCesJ7wnzCfkKBAoRCh4KKwo2CkMKVApoCnwKjAqTCpMKjwqOCpIKnAqnCrAKtQq2CrYKtwq8CsIKyArMCs4KzQrLCscKwQq7Cs8KvgqjCoMKYQpFCjYKNwpICmcKjAqwCswK3QrjCt0Kzwq5Cp0KfgpjClIKTQpUCmEKagpoClcKOgoZCfsJ5QncCd0J5gn0CgEKDAoQCg8KCgoFCgMKBgoMChIKFQoTChAKDgoUCiEKNgpNCmQKeAqJCpkKqgq7Cs4K4Qr3CxALKwtGC2ALdQuGC5YLqAvAC90L/gwdDDkMUQxnDH4MlwywDMgM2wzoDPEM+A0ADQwNHA0uDUINVg1nDXINdw13DXYNew2KDaQNwQ3VDdYNuw2KDVENIQ0KDQ8NLA1RDXMNhw2PDY8Njw2TDZoNog2pDa8NuQ3IDd4N+A4TDioOPQ5RDmgOhA6lDscO5Q7+DxEPIw84D1APaw+GD6APtw/ND+MP/RAZEDgQVxB4EJsQvxDmEQsRLBFIEV4RchGJEaYRxxHpEgUSFRIbEhgSExIQEg8SDRIHEfsR6hHXEcYRuBGtEaMRmhGTEZERlhGeEaMRnhGNEXQRWBFAES0RHBEHEOgQwhCbEH0QbxBzEIcQpBDFEOoREBE2EVURZRFfEUEREBDVEJwQaxBHEC0QGBADD+4P2Q/FD7QPpg+cD5IPhg92D2IPSQ8wDxgPBA71DusO4w7cDtQOyw7CDrcOqg6cDo0OfQ5uDmEOVQ5IDjgOJQ4PDfoN5w3XDckNvA2vDaINlA2HDXsNbw1lDV4NWw1dDWQNbw17DYcNkw2eDakNsA2yDa4NpA2YDY0NiA2IDY4Nlg2dDaQNqg2vDbENrg2lDZcNiA1+DXsNgQ2KDZQNmQ2aDZYNkA2GDXcNZA1MDTMNGw0DDOcMwgyQDFMMEQvQC5YLYAsoCucKmwpMCgQJzgmqCY8JcAlDCQcIyAiWCHgIbQhnCFQIKwfuB64HgAdvB30HmAeuB68HlwdtBz4HFwb7BuYG0Aa1BpQGbwZMBi0GEwX6Bd4FvgWbBXYFUQUvBQ0E7ATKBKoEiwRtBE8EMAQOA+sDyAOnA4gDbANQAzQDGAL6At4CwQKmAooCbQJPAjMCGQH/AeIBwAGWAWUBMgEDAN4AwgCsAJcAfQBeAD4AIQAK//j/5f/M/6v/gv9V/yv/Bv7l/sX+pP5//lr+N/4X/fv94P3F/aj9i/1t/U/9Mf0S/PH8z/yt/I38b/xS/DT8FPvz+9H7sfuU+3j7XvtB+yL7Avrg+r76nfp8+lz6Pvoh+gb56vnM+a35i/lq+Uz5Mvkd+Qn49vjg+Mf4r/iZ+Ib4dvho+Fr4Sfg2+CL4D/f99+734PfR98L3svei95P3hvd69273YPdR90D3Lvcd9w32//by9uT21vbG9rb2pvaX9or2f/Z29m/2aPZi9l32W/Zb9l32YfZm9mn2avZp9mj2afZr9m72c/Z49n32gvaH9o72lPaZ9pv2m/aZ9pj2mfad9qH2pfan9qf2p/ao9qv2r/ay9rT2s/ay9rP2tfa79sH2yfbS9tz26Pb09wH3CvcQ9xP3Ffca9yX3NvdM92T3e/eR96P3s/fA98332ffk9+739vf++AT4CvgQ+Bj4Ifgq+DP4O/hD+En4S/hE+DH4E/ft98f3p/eT94z3j/eY96T3sPe+98z31vfZ99H3v/eo95L3g/d+94H3hveL9433jPeK94b3gPd49273ZPdc91T3Svc99y73JPcj9y33PfdJ90j3Ovcs9y/3VPeX9+P4FvgS9833V/bX9nT2RfZI9mX2fvZ/9mf2RvYs9iT2KvYu9iX2C/Xr9db13PYA9jn2d/ap9sf20PbM9sX2wfbC9sT2xvbC9rr2rfad9oz2evZm9lL2O/Yi9gX15fXA9ZT1YvUq9PD0tvSC9FX0L/QP8/Pz2vPF87Xzq/On86Xzo/Oh857zm/Oa85vznPOa85Tzi/OC833zfvOB84TzgfN482rzXPNR80zzS/NL80fzPfMt8xzzDvMG8wTzB/MM8xDzEvMU8xXzGPMb8x7zIPMj8ybzKfMu8zTzO/ND80rzUvNb82Pza/Nz83rzgfOJ85HzmvOj867zufPG89Pz4fPt8/f0APQI9BH0HPQp9Db0QPRF9Eb0RfRG9Ez0VvRj9HH0fPSF9Iz0k/Sb9KT0rfS39ML0z/Tf9PL1CPUf9Tb1S/Vf9XH1gPWO9Zr1pPWu9bb1v/XJ9dX14fXu9fv2BfYO9hb2HfYm9jH2QfZS9mX2dfaD9o72mPah9qr2s/a79sL2yfbR9tr25Pbt9vT29/b39vX28fbu9uz27Pbw9vb2//cL9xf3Ivcp9y/3NPc690P3UPdg93H3gveS96H3sPe+98v31/fj9+73+vgG+BH4Gvgi+Cf4K/gx+Dn4QvhL+FP4Wfhf+Gf4cfh/+I/4nvis+Lf4wPjJ+NT43/jp+PL4+Pj7+Pv4+vj5+Pj4+fj7+P/5BvkO+Rb5G/kd+Rv5FvkQ+Qr5BfkA+Pr49Pjt+Of44/jk+Or49PkB+Q75G/km+S/5OPlD+VH5Y/l2+Yr5m/mp+bf5xfnX+ez6BPod+jT6R/pW+mL6bPp2+n/6iPqT+qD6rvq++s763Prp+vX6//sK+xT7Hvsl+yr7K/sq+yr7LPsv+zT7OPs7+zz7PPs7+zr7OPs2+zP7MPst+yz7K/sr+yr7KPsk+yD7HPsY+xX7EfsO+wn7BvsD+wP7BPsG+wf7B/sE+v/6+/r3+vb69/r7+v/7A/sE+wT7Avr/+vz6+vr5+vn6+Pr4+vn6/PsC+wv7F/sk+zH7O/tD+0f7S/tN+077T/tQ+1D7UftU+1v7Z/t4+4r7nPuq+7X7v/vL+9z79PwS/DD8SfxZ/F78W/xX/Ff8Xfxo/HL8dfxu/F78Sfw3/Cv8Jvwm/Cn8LPwv/Df8Rfxd/H38ovzK/O/9EP0s/UP9WP1s/YD9lv2r/b/90P3f/ev99f3+/gb+Dv4W/iD+K/42/kL+Tf5W/l7+Z/51/of+nf61/sz+4v75/xP/Mf9S/3H/jP+f/6//wv/dAAIALQBWAHYAjQCfALQA0gD3AR0BPQFTAWMBdAGNAbAB1AHvAfkB8QHfAcsBuwGsAZkBfQFcAUcBUAGIAfMChAMkA7cEKQRyBJUEmQSJBGsEQgQUA+gDywPHA+QEHgRqBLUE7gULBQwE+ATeBMsExQTLBNYE3gTdBNQExQS0BKIEjgRzBFIELQQLA/UD7wP3BAkEHQQxBEUEXwSFBLsE/QVEBYgFwwXyBhYGMAZABkkGSgZHBkQGRwZSBmcGgQaYBqYGpQaRBm0GPAYDBcgFjAVSBRoE5ASxBIcEaARbBGEEewSmBNoFDgU7BVgFYwVdBUoFMwUeBRAFCgUJBQcFAwT9BPkE/AUJBSAFPwVfBXwFkwWiBasFrgWrBaQFmgWSBYwFigWKBYgFgwV9BXgFdwV8BYUFjQWTBZYFmgWiBbMFzQXtBg0GKQY/BlIGYwZ4BpUGvgb2Bz0HjQfgCCsIZQiMCKcIuwjPCNwI1giuCFgH2QdCBqwGKgXEBXAFHAS6BEgD0ANnAx0C+wL5AwsDIQM1A0gDXgN7A5wDugPNA9ADwwOtA5QDfgNuA2MDXwNiA3ADigO0A+wEMAR+BNIFKwWFBdsGLAZ1BrgG9gcyB24HqAfdCAYIIQgtCC0IKAghCBwIGwgdCCMIKggyCDkIPQg/CD8IQAhFCE4IWghlCG8IdQh5CH8IiAiWCKUIswi9CMUIzQjWCOAI6gjwCPII8QjyCPcJAQkNCRgJIAkmCS4JOwlOCWMJdwmHCZIJmwmoCbgJywnbCegJ7wn1CfwKBgoSCh0KJgouCjgKRwpaCm8KgAqKCowKigqJCowKkgqYCp0KngqfCqIKqAqyCrsKwQrECsQKxQrICs4K1ArWCtAKuwqZCnAKSAopChkKGQomCjwKVgptCn8KjAqVCpoKmQqPCnwKYQpFCjAKKAotCjsKSQpOCkUKMQoYCgEJ8QnpCeYJ5AnhCdwJ1QnPCckJxQnCCb8JvQm8CboJugm8CcIJzgngCfgKEQooCjoKRwpSCmAKcwqMCqgKxQrfCvYLCQsaCyoLPAtQC2cLggufC78L3Qv5DBIMKAw+DFYMbwyHDJwMqwy1DLsMwgzODN4M8g0HDRkNJg0sDSwNKw0rDTINQQ1XDXANgw2HDXcNVA0mDPwM4gzfDPENEA0wDUYNUQ1UDVYNXQ1qDXoNig2WDZ8NqQ24Dc0N5g4ADhcOLA5ADlYOcg6RDrEOzg7lDvgPCg8dDzQPTQ9nD4APlw+tD8QP3A/4EBYQNhBZEH4QoxDIEOgRBBEZESwRQBFZEXcRlhGxEcQRyxHLEccRxBHGEckRyxHGEbsRqxGbEY4RhRF9EXYRcBFsEW0RchF4EXsRdxFrEVsRSxE+ETMRJhEQEPAQyBCfEH0QZRBaEFkQXRBmEHUQiBCeELEQuxC1EKEQgRBeED4QJBAOD/oP5g/QD7oPpg+WD4gPfg90D2oPXw9QDz8PKw8XDwUO9w7tDuYO3w7WDsoOug6qDpoOjA5+DnEOYw5VDkkOPQ4yDiUOFg4DDe8N2w3JDbkNrQ2kDZ0Nlg2QDYgNfg10DWsNZA1hDWINaA1wDXoNhA2PDZkNoA2jDaENmg2SDYoNhg2GDYoNkA2WDZwNoQ2jDaANlw2HDXUNZQ1eDWENbg19DYgNiQ2BDXINYg1RDUANLg0aDQYM8gzfDMoMrQyEDEwMCwvJC4wLVQshCucKpQpbChQJ2AmqCYcJYwk1CPgItAh2CEoIMgglCBQH9AfEB40HYAdMB1IHageCB4wHfgdeBzQHDAbsBtQGvwamBogGZgZDBiQGCAXuBdQFtwWXBXMFTwUrBQkE5wTGBKcEiQRsBE4ELQQLA+cDxAOiA4MDZwNMAzEDFQL5At0CvwKhAoICYwJGAioCEQH3AdoBtgGJAVgBJwD/AOAAywC6AKUAiQBnAEQAJgAO//v/6P/O/6v/gP9T/yn/Bf7m/sf+pv6C/lv+Nv4V/ff93P3C/ab9iv1u/VH9M/0U/PP80Pyt/Iv8a/xO/DH8E/v1+9f7ufuc+4D7ZftI+yr7Cvro+sX6ovqA+l/6Qfol+gr57/nS+bP5kflw+VP5Ofkk+RD4+vjj+Mr4sfic+Ir4e/hs+Fz4Svg2+CD4DPf69+r32/fN97/3sfej95X3hvd292X3VfdE9zT3JfcW9wf2+fbq9tz2zfa+9q/2nvaO9oD2dPZq9mL2W/ZU9k/2TfZN9lH2V/Zc9l/2XvZb9lj2V/ZY9lz2YPZj9mX2ZvZp9m72dfZ79n/2gfaB9oD2gfaE9oj2ivaL9or2ifaJ9ov2jvaR9pP2k/aS9pP2lvaa9qD2pfas9rX2wfbP9t326Pbw9vP29Pb29v73DPcg9zj3UPdn93v3jPeb96j3tPe+98f3zffT99n34Pfp9/T4APgK+BP4Gfgf+CP4Jfgh+BT3/vff9773ofeL94D3fveD94v3l/ej97D3uve+97n3rfec94v3fvd293D3avdk9133WfdX91n3XPdd91r3UvdF9zb3JvcX9w73C/cR9xz3Jvcp9yT3HPcd9zb3afer9+L38vfH92P23/Zi9gv16vX09hH2JvYi9gj15/XP9cb1yfXM9cT1r/WX9Yj1ivWh9cb17vYS9iz2P/ZO9lz2Z/Zw9nX2dPZv9mX2V/ZF9i72EvXz9dP1svWR9W31Q/UT9Nv0nfRf9CPz7/PG86fzkPN982zzW/NL8z/zOfM58z3zQfND80PzQvNC80bzSvNN803zR/M/8zfzMvMy8zTzMvMr8x7zEPME8v/y//MA8v/y9/Lo8tbyx/K98rvyvfLB8sPyw/LD8sPyxfLJ8s3y0PLS8tXy2vLi8uvy9fL98wXzDfMV8x/zKfMz8zzzRPNL81LzW/Nk82/zefOF85HznvOq87bzwfPM89fz4/Px8/70CfQQ9BL0EvQS9BX0G/Qk9C/0OvRE9E30V/Rh9Gz0ePSC9I30mfSn9Lj0y/Th9Pj1D/Uk9Tj1S/Vc9Wv1efWE9Y71lvWe9af1s/XA9c/13fXp9fP1+/YD9g72HPYs9j32TvZc9mf2cvZ89oj2k/ae9qj2r/a19rv2wvbK9tP22vbf9uP25fbo9ur27vby9vf2/fcC9wf3C/cN9w/3EfcU9xj3H/co9zP3QfdQ92H3c/eD95D3mvej96z3uffI99r36/f6+AX4DfgU+Bv4JPgt+DX4O/hB+Ef4Ufhd+G34ffiL+Jj4pPiw+Lz4yPjT+Nv44Pji+OT45fjn+On46/js+Oz47Pjt+O/48fj0+Pf4+fj7+Pz4/fj7+Pf48fjp+OH42/ja+N745/j1+QX5Ffkk+TL5P/lN+V35bvl/+ZD5nvmp+bP5v/nO+eL5+voS+ij6OfpG+k76Vfpd+mf6c/qC+pP6pPq1+sT60frc+uX67/r6+wX7EPsZ+x/7Ifsi+yP7JPsm+yn7K/sr+yj7Jfsh+xz7GfsV+xL7D/sM+wv7CvsK+wr7CvsI+wf7BPsB+v76+frz+u365/ri+uD64frk+uf66vrq+uf64/re+tv62vrb+t364frj+uT64/ri+uH64fri+uL64/rj+uT65fro+u769vsB+w37Gfsj+yv7Mvs4+z77Q/tI+0v7T/tV+137aPt2+4T7kPuY+5/7p/u2+8/78fwY/Dv8UvxZ/FL8Q/w3/DT8PvxO/F38YfxY/ET8K/wW/An8BPwG/Aj8CfwJ/A78Gvwz/FX8f/yp/ND88f0M/ST9O/1S/Wv9hP2b/a/9wf3R/d/97f35/gP+C/4R/hf+H/4n/jH+Ov5D/k7+Wv5s/oL+m/6z/sf+2f7r/wH/H/9B/2L/ff+O/5n/pv+8/+AADAA5AF0AdQCHAJoAtQDbAQUBKwFHAVkBaQF9AZkBuwHYAeoB7AHiAdIBwQGwAZwBgAFdAT0BLgE/AXoB3AJYAtwDVwO8BAYENQRMBE4EPwQnBBEEBwQTBDkEdgS+BQAFMAVGBUMFMAUZBQoFBgUNBRgFIAUhBRwFEgUHBPsE6gTQBK0EhARcBD8EMgQ0BEIEVARnBHsElQS6BOwFKgVuBbEF8AYoBlgGfwadBq8GtQayBqsGqga0Bs4G8wcaBzoHSQdCByQG9ga9BoIGRwYOBdYFnAVhBSgE9wTWBMgE0ATqBQ4FNQVVBWsFdAV0BW4FZwVkBWMFZQVnBWcFZwVoBW8FfgWTBawFxAXXBeQF6QXqBekF5AXdBdQFywXEBcEFwwXIBcwFzQXKBcUFwQXBBcQFyAXLBcwFzgXVBeMF+QYVBjEGSAZWBlwGWwZaBl4GcAaUBs8HHAdzB8gIEwhRCIQIsQjaCP4JEQkGCNkIiwgqB8UHZQcGBpwGGAVzBLoEAwNtAwwC5gLtAwoDJwM4AzsDNwMzAzMDMwMtAx0DAwLiAsACngJ9Al0CPgIkAhcCHgJCAoUC5QNbA+EEawTyBW8F3gY8BowG0QcQB0wHhwe+B+8IFggyCEAIQgg7CC0IHQgQCAkICQgQCBoIJAgsCDIIOQhBCEsIVgheCGMIZwhsCHUIggiSCKEIrAizCLgIvgjHCNAI2AjbCNoI2AjaCOEI7Aj6CQQJCwkRCRoJKQk+CVUJaAl3CYEJjAmaCa4JwwnWCeIJ6AnsCfEJ+goGChEKGQogCigKNQpGClkKawp2CnsKewp7CnwKfwqDCoUKiQqQCpwKqwq7CsUKxgrACrgKswq3CsEKzgrVCpYKfgpcCjcKFgoACfcJ9wn+CgYKDAoQChQKGwomCjMKQQpJCkcKOwopChoKEgoVCh8KKAosCiYKGAoICfkJ7QniCdQJwQmrCZQJgQl4CXUJeAl7CXsJeQl1CXMJdgl+CY0JoQm4CdEJ5wn5CgcKEwofCi8KRwpkCoUKpAq8Cs4K2wroCvgLDQsoC0gLaAuGC6ILuwvRC+YL/AwTDCsMQgxXDGgMdAx8DIQMjwyeDLIMyAzcDOoM8AzxDO8M8Az1DQENEQ0hDSwNLQ0iDQwM8AzUDMEMuwzEDNcM7w0EDRMNHA0jDSwNOg1LDV0NbQ16DYUNkg2jDboN1Q3xDgsOIQ42DksOYw59DpgOsQ7HDtkO6w78Dw8PJQ88D1QPbA+ED5wPtQ/RD+8QERA1EFwQgRCkEMIQ2RDtEP8RFBEtEUgRYRFxEXgRdRFtEWYRZBFoEW0RcRFwEWoRYBFWEU0RRhE+ETYRLhEpESgRLBExETMRMhEsESURIBEeERwRFhEHEO0QyxCkEH8QXRA+ECEQBw/xD+MP3w/kD+4P+A/9D/wP+A/zD+4P5w/dD80Ptw+eD4YPcg9kD1oPUw9ND0YPPQ8yDyUPFQ8EDvQO6A7gDtoO0g7HDrcOow6ODnwObQ5iDlgOTQ5ADjIOJA4YDgwOAA3yDeMN0g3BDbINpQ2dDZoNmg2cDZ0NnQ2YDZENiQ2BDXoNdw11DXQNdg15DX0Ngg2GDYcNhg2EDYMNhA2HDYsNkA2UDZUNlA2QDYYNeA1lDVINQw0+DUQNUQ1eDWQNXg1PDTkNIw0QDQEM8gzkDNQMxQy3DKgMkgxxDEIMCQvNC5ULYws1CwMKxwqACjMJ6gmqCXQJQwkPCNYImQhlCEEIMQguCCsIGgf0B78HiAdfB0sHTQdZB2IHXQdJBygHAwbiBsYGrQaVBnoGWgY6BhkF+wXfBcQFqAWMBW0FTQUsBQsE6gTKBKoEigRrBEsEKQQGA+MDwAOgA4EDZANJAy4DEgL2AtkCuwKbAnoCWgI8AiECBwHtAc0BpgF4AUgBGwD2ANsAyAC2AJ8AgQBeADsAHQAG//T/4P/F/6H/dv9L/yP/Af7k/sf+p/6D/lv+NP4Q/fD91P27/aL9iP1u/VP9N/0Y/Pb80vyt/In8aPxJ/Cz8D/vz+9f7u/uf+4P7ZvtI+yj7CPrm+sT6ovp/+l/6QPok+gn57vnR+bP5k/l1+Vr5Qvks+RX4/fjj+Mj4r/ia+Ij4ePhp+Ff4RPgw+Bz4CPf29+X31PfF97f3qfec9433fPdp91f3Rfc19yf3GvcM9v327fbc9sz2vvaw9qL2k/aE9nT2Z/Zc9lP2SvZD9j32OfY69j/2RvZN9lD2T/ZL9kb2Q/ZD9kb2SvZM9k32TPZN9lD2VfZa9l32XvZe9l/2YvZn9mz2b/Zw9m/2bfZs9m32b/Zw9nD2cPZw9nL2dfZ59n32gPaD9on2lPaj9rT2w/bO9tP21PbV9tn25Pb09wr3Ivc591D3ZPd294b3k/ee96f3rfex97X3uvfA98n30vfc9+X37Pfz9/n3/ff99/j36/fV97r3nPeB9233Yfdf92X3cfd/9433l/ea95j3j/eD93f3a/dg91X3Svc+9zX3MPcy9zn3QvdI90n3Qfcy9x/3C/b69vD27vby9vn2+/b59vP28vcC9yf3XfeT97H3ofdc9uz2b/YD9cH1rfW49c311fXI9az1j/V79XT1d/V49XD1YPVM9Tv1M/U29UD1UPVk9X/1oPXF9ej2BPYW9hz2GvYS9gb19PXa9bj1j/Vi9TX1C/Th9Lb0hvRR9Bfz3fOo83rzVfM68yfzGfMO8wLy9vLp8t7y2PLX8tvy4vLo8u3y8PL08vjy/fMC8wLy/fL08uvy5PLi8uPy4vLd8tLyxPK38rDyrvKw8q/yqfKd8o7ygPJ28nPyc/J18nbydfJ18nbyefJ88n/ygfKC8oXyi/KV8qHyrfK48sDyyPLR8tvy6PLz8v7zBvMN8xTzHfMo8zPzPvNJ81TzX/Nr83jzhPOQ85rzpfOx873zyfPU89zz4fPk8+fz6/Px8/j0AfQL9Bb0I/Qw9D70S/RY9GP0bvR59IX0k/Sj9Lb0yvTf9PT1CfUe9TL1RfVU9WH1a/Vz9Xv1hfWR9Z/1r/W+9cv11vXh9ez1+fYI9hb2I/Yu9jn2RPZS9mL2c/aD9pD2mPad9p/2ovam9qz2tPa99sX2zvbX9t725vbs9vP2+Pb89v/3AvcE9wb3B/cH9wf3B/cH9wn3DvcX9yX3NPdD91D3Wvdi92z3efeL96D3tvfJ99f34vfr9/T3/vgJ+BT4H/go+DL4PfhJ+FX4Yfhs+Hf4gviO+Jz4qfi1+L74wvjF+Mb4yfjO+NP42Pja+Nr42PjV+NL40fjQ+NH40/jV+Nj42/jc+N343PjZ+Nf41fjW+Nr44fjq+PX5APkK+RX5IPkt+T35Ufln+X75k/ml+bT5wfnP+d357fn++g36Gfoh+if6Lfo1+kH6Ufpl+nr6j/qi+rH6v/rK+tT63vrp+vT6//sH+wz7D/sQ+xH7E/sU+xf7GPsX+xP7DvsI+wL6/Pr3+vL67vrq+uj65vrm+ub65/rp+ur66vrp+ub64fra+tL6yvrD+r/6vvq/+sL6xPrF+sX6w/rA+r36vPq8+r36vvq/+sD6wfrB+sH6w/rF+sj6yvrL+sv6zPrN+tD61frd+uf68fr8+wf7Efsd+yj7M/s++0j7UPtZ+2P7bft3+4D7hvuK+477l/uo+8T76fwP/C38Pfw8/C78G/wQ/BH8IPw1/Ef8S/xB/Cr8D/v4++v76Pvr++778Pvx+/X8AvwZ/Dr8YfyI/Kv8yfzj/Pv9FP0v/Uv9Z/1//ZT9p/24/cn92v3q/fb9//4D/gb+Cf4P/hj+JP4x/kD+Uv5p/oP+nf61/sf+1f7j/vX/EP8v/0//aP94/4L/jf+i/8X/8QAfAEYAYABxAIEAmQC8AOcBEQE0AUwBXgFvAYUBoQG/AdYB4gHjAdwB0AHCAbABlgF1AVABMQEkATABWQGdAfMCUQKvAwYDUwOSA8QD6gQHBCIEQARmBJQExwT6BSQFQQVQBVMFUQVQBVYFYwVzBYIFiQWIBX4FbwVeBUoFMgUUBPAEyQSkBIUEcQRoBGcEagRyBIAElgS3BOQFGAVQBYgFvQXxBiIGUAZ3BpIGnwagBpsGmgajBroG3AcEByYHOwc8ByoHCAbdBq4GgAZUBioF/wXUBagFgAVhBVAFTgVaBXAFiAWdBasFsgWzBbMFtAW3BbsFvwXDBcYFywXWBegF/wYXBisGNwY4BjEGJwYgBhwGHQYeBh4GGwYXBhYGGAYeBiUGKQYoBiMGGwYUBhAGDgYPBhMGGgYlBjQGRwZaBmoGdgZ5BnUGbAZfBlMGUAZZBnUGogbeByEHZAekB+EIHAhXCI8IvgjbCOMI1wi8CJYIZAgeB7gHKgZ5BbkFCASEBD0EMQROBHUEjwSMBGwEOwQEA9EDowN4A08DJAL5AswCnAJnAikB4gGZAVYBJwEZATUBfgHyAokDNgPuBKEFRgXUBkgGpAbuBysHYgeXB8sH/AgmCEMITwhICDQIFwf9B+oH5AfpB/QIAQgLCBMIGggiCCoIMgg4CDwIQAhICFQIZQh3CIYIkAiWCJoIogitCLkIwwjHCMcIxQjHCNAI3QjsCPgJAAkGCQ8JHQkxCUUJWAllCXEJfQmNCaEJtQnECc0JzwnRCdUJ3gnrCfgKAQoICg8KGQomCjYKRQpQClcKWwpeCmEKZQppCm0KdAqACpIKpgq3Cr8KuwqtCpsKjwqMCpMKnAqfCjcKHgoBCecJ1wnQCdIJ1wnbCdkJ0gnJCcEJvwnGCdQJ5gn2Cf8KAQn9CfcJ8wnzCfUJ9AntCeEJ0QnCCbQJqAmZCYUJawlOCTYJJwklCSwJNwk/CUIJQAk9CT0JQglOCV8JcQmECZYJqAm5CckJ2gnsCgEKGwo3ClQKbwqFCpcKpgq4Cs8K7AsNCy8LTQtoC38LlAupC8AL2AvwDAUMFwwmDDAMOQxBDEwMWwxtDIEMkwyiDKwMsAyzDLYMvgzJDNYM3wzhDNoMzQy9DK8MpQyiDKUMrAy1DL8MyQzVDOEM8A0ADRENIQ0xDT4NSw1XDWUNdg2NDagNxQ3jDf8OGA4uDkMOVg5qDn4Okw6nDrkOyg7aDusO/Q8QDyYPPQ9VD24PiA+jD8AP4RAEECkQThBvEIwQoxC3EMwQ4RD4EQ4RHxEnEScRIBEWERARDhEQERQRFhEWERMRDxEKEQYRABD3EO0Q4xDdENwQ4BDmEOsQ7RDrEOgQ5xDoEOgQ4xDYEMQQqRCJEGgQRBAeD/QPyg+jD4QPcQ9qD24Pdw+CD48Pmw+nD7EPtQ+wD6IPjQ91D14PTQ9BDzkPNA8wDysPJA8cDxAPAg7yDuIO1A7LDsMOuw6wDp8Oig51DmIOUw5IDj8ONQ4pDhsODQ4ADfUN7A3kDdsNzw3BDbINpA2bDZgNmw2lDbANuw3ADb8NuA2sDZ0NjQ19DW4NYQ1YDVQNVA1XDVwNYA1kDWkNcQ17DYYNjw2UDZMNjA2ADXANXQ1JDTcNKg0kDSUNKg0uDSwNIA0MDPQM3AzIDLgMrAyhDJcMjQyEDHoMaQxODCUL8gu7C4YLWQsyCwkK2AqaClIKBQm6CXYJNwj6CL4IhghYCD0INwg/CEoISAgvB/8HwQeFB1kHQQc7Bz4HPQcyBxsG/AbaBroGngaEBmoGTgYwBhAF7wXQBbEFlAV4BV0FQQUlBQgE6gTLBKsEiwRpBEgEJQQDA+EDwAOgA4IDZQNIAywDEAL0AtcCuAKYAncCVwI6Ah8CBgHrAcoBogF0AUQBFwDzANYAwACqAJAAcQBQAC8AFP///+z/1/+7/5f/b/9G/yH/Av7l/sj+qP6C/lr+M/4O/e790v24/aD9iP1v/VT9N/0X/PX80fys/In8aPxK/C38Efv2+9r7vfug+4H7YvtB+yD7APrf+r/6nvp/+mD6Qvol+gn56/nM+a35j/lz+Vr5Q/kt+RX4+/jg+MX4rfiY+Ib4dfhj+FD4PPgn+BT4Avfx9+D3z/e/96/3ofeT94P3cfde90v3Ofcr9x73EvcD9vL23vbL9rr2rfah9pX2ifZ69mz2X/ZU9kv2QvY59jH2K/Yq9iz2MfY29jj2NvYy9i32KvYq9iz2L/Yw9jH2MvY09jf2O/Y99j32PfY99kD2RvZN9lP2V/ZX9lb2VfZW9lf2V/ZW9lP2UPZQ9lL2V/Zc9l72X/Zf9mP2bPZ79o32n/ar9rL2tPa09rj2wPbP9uP2+/cT9yr3QPdU92X3dPeB94r3kveW95n3mveb95/3pfeu97j3wvfK99H31ffX99f30vfF97D3k/d091f3Qvc59zz3SfdZ92n3c/d293T3bfdj91n3TvdC9zX3Kfce9xj3GPcc9yT3LPcw9y/3J/cY9wX28Pbd9tD2y/bL9s32zfbK9sf2yvbb9vv3Ifc+9z73FvbG9mD1+/Ww9Yr1hPWO9ZX1jfV19VX1OvUq9Sb1J/Uk9Rn1BfTu9Nb0w/S09Kz0r/TA9OL1EfVG9Xb1mPWp9av1ovWT9X/1ZfVC9Rb05PSx9IH0VfQr8//zz/Ob82nzPPMX8vvy5vLU8sTytvKr8qHymfKR8oryhPKB8oLyiPKQ8pjynvKk8qfyqvKs8qvyp/Kg8prylfKT8pPyk/KO8oXyd/Jq8mHyXfJd8l3yWfJR8kXyOPIv8inyJ/In8ijyKfIr8i/yNPI58jvyO/I78j3yQ/JO8lryZ/Jx8nnygfKL8pfypfKy8r7yx/LP8tjy4/Lv8vzzBvMP8xfzIPMq8zbzRPNQ81rzZPNt83jzhfOT86Lzr/O588DzxfPJ887z1fPc8+bz8vP+9Az0G/Qo9DX0QfRL9Fb0YfRt9Hz0jPSe9LL0x/Td9PP1CPUb9Sz1OvVF9U/1WvVm9XT1g/WS9aH1rvW69cf10/Xg9ev19vX/9gn2FPYj9jT2R/Za9mn2dfZ99oL2hvaL9pH2mfah9qr2tPa89sX2zfbV9t325Pbr9vL2+Pb99wH3A/cE9wT3Afb+9vv2+vb89wP3DfcY9yT3Lvc590T3Ufdh93P3hveW96T3r/e598P3z/fc9+v3+vgI+Bb4I/gu+Dj4QPhI+FD4W/hp+Hn4ifiX+KD4pfin+Kj4qviu+LP4uPi8+L34u/i4+LX4sviw+K/4rviv+LH4tPi3+Lv4vvjC+Mf4zPjR+Nf43Pjf+OL45Pjl+Of47Pj0+QP5GPky+U/5bPmF+Zj5pvmw+bn5wvnN+dj54/nt+fb6AfoN+hz6L/pF+lv6cfqG+pj6qfq4+sb60/rf+un68Pr0+vX69Pry+vL68vrz+vb69/r3+vb68vrt+uf64vre+tv62PrV+tL60PrO+s36zfrO+s/60PrQ+s76yvrE+r36tfqu+qf6o/qf+pz6m/qa+pn6mfqa+pv6nfqe+qD6ofqh+qL6ovqj+qT6p/qq+q36sPqy+rP6s/q0+rb6ufq/+sf60frb+uf69PsD+xL7Ivsx+z/7TftZ+2T7bvt3+337gPuD+4b7j/uf+7j71vvy/AX8C/wE+/b76fvm+/H8CPwh/DT8OPws/BX7+fvj+9X70fvT+9f73Pvh++n7+PwO/Cv8TPxs/Ir8pPy7/NP87P0I/SX9QP1Z/W/9gv2V/aj9u/3N/dv95f3q/ez97/32/gD+Dv4g/jT+Sv5k/n/+mv6y/sT+0v7e/u3/Af8Z/zP/Sv9a/2f/df+M/6//2gAHAC4ASgBdAG0AggCgAMgA8QEXATQBSgFcAXEBiQGlAb4B0gHeAeMB4gHcAdEBvwGmAYcBZgFJATcBMgE/AVwBiAHBAgUCUAKfAvEDQwOTA+IELgR1BLQE5wUOBSkFOQVEBU8FXQVzBZAFsQXSBewF+gX6BekFzAWlBXkFTAUiBPwE3QTFBLIEpASYBI4EhwSGBI8EpQTFBO4FGgVFBW8FlwXBBe4GHQZIBmoGgQaMBo8GkAaWBqMGtwbOBuMG8gb3BvAG4AbJBq0GkgZ5BmIGTQY4BiIGDAX4BekF4QXiBekF9AX+BgUGCAYJBgkGCgYNBhEGFAYXBhwGJQYzBkgGXwZ0BoEGggZ6BmwGYAZaBl4GaAZzBnoGegZ0BmwGZQZiBmMGZQZmBmMGXgZWBlAGSwZJBkwGUwZdBmkGdAZ9BoQGiAaLBowGjAaIBn8GcwZoBmMGaQZ9Bp4Gygb9BzMHbQepB+cIIwhcCI0IswjOCNkIzQikCFcH5wdeBtMGXwYXBgQGHAZLBnUGhAZvBjcF6AWRBT4E9AS1BH8ETwQjA/kDywOUA08C+QKUAiQBtAFRAQsA7wEKAV8B7QKnA3wEVwUjBdIGWwa/BwUHOQdnB5YHyAf6CCEINwg3CCMIAwfkB84HxgfMB9oH6AfzB/gH+gf8CAAIBAgJCA0IEwgcCCsIPQhPCF8IaghxCHoIhQiVCKYItAi8CL4IvwjCCMoI2AjmCPMI+wkBCQcJEgkgCTAJPglKCVUJYAlvCYEJkQmeCaUJqAmsCbMJvwnOCdwJ5gnuCfMJ+goCCgwKFAocCiIKKQoyCjwKRQpLCk4KUgpZCmUKcwp/CoMKfQpuClwKUApKCksKTApGCeIJzAm2CagJpAmoCbEJuAm6CbYJrQmiCZoJlgmYCaAJrAm4CcAJxAnDCb4JuAmwCaUJlgmCCWsJVAlBCTIJJgkZCQoI+QjpCN8I3wjpCPgJBwkQCRIJDgkLCQwJEwkfCSwJOQlGCVMJYwl3CY4Jpgm/CdYJ7goGCh0KNApLCmIKewqWCrUK1ArzCw8LJgs7C08LZguBC54LuQvQC+AL6wvxC/cL/wwKDBkMKww+DFAMXwxqDHEMdwx+DIcMkwyfDKYMpAyZDIcMdgxrDG0MeQyLDJsMpQylDKEMnwykDLMMygzjDPkNCg0VDR4NKA02DUkNYQ17DZYNsw3PDesOBQ4dDjIORA5UDmQOdQ6GDpgOqg67DsoO2w7sDv8PFQ8rD0MPWg9zD40PqQ/ID+kQCRAnEEEQWRBvEIUQmxCvEMAQyxDQENAQzRDKEMkQyRDKEMkQxxDDEL8QuxC6ELcQsxCsEKMQmxCXEJgQnhCnEK0QsBCwEK4QrBCrEKcQoBCUEIMQbhBXED4QIxACD90Ptg+QD3EPXA9RD04PUQ9XD18PaQ90D30PgQ9/D3UPZQ9SD0APMg8oDyAPGg8UDw4PBw7/DvQO5w7ZDskOvA6xDqgOoA6VDoYOdA5fDkwOOw4tDiMOGQ4PDgUN+w3xDekN4g3cDdUNzA3ADbINpQ2bDZgNnQ2rDb4N0Q3eDeMN3g3QDboNoA2DDWcNTQ06DS4NKQ0qDS0NMg02DT0NRw1WDWYNdQ1+DX4NdQ1lDVMNQA0vDSANFQ0LDQUM/wz5DPAM4QzNDLYMnQyGDHIMYwxYDFEMTAxHDEEMNAwcC/cLxwuSC10LLwsHCuAKtgqECkkKBgnBCX0JOgj4CLYIeAhECCEIFAgYCCQIKggeB/wHyAeOB1oHNgckByAHHwcaBwsG8gbSBrAGkAZzBloGQQYnBgoF6gXIBacFhwVqBU8FNQUcBQIE5gTJBKoEigRpBEgEKAQHA+cDyAOpA4kDagNLAy0DEALzAtYCtwKXAncCVwI7AiICCgHwAdEBqwGAAVIBJgD/AN8AwgCmAIkAagBLAC0AE//9/+f/z/+y/5D/a/9H/yX/Bf7m/sb+o/59/lb+Mf4P/fD91f27/aH9h/1s/U/9MP0O/Ov8yPyl/Ib8aPxN/DP8Gfv+++L7xPuk+4P7Yfs/+x36/Prc+rz6nvqB+mT6R/oq+gv56/nK+an5ivlu+Vb5P/ko+RD49vjb+MP4rvic+Iv4efhl+E/4OPgi+A/3/vfu9933zfe896z3nPeM93z3avdX90T3NPcl9xj3Cvb69ub20va/9q/2ovaY9o32gPZy9mX2WPZO9kX2PfY09iv2IvYc9hr2GvYa9hr2GPYV9hL2EfYR9hL2E/YT9hP2FfYZ9h72IvYk9iT2JPYm9ir2MfY49j32PvY99jz2PPY+9kD2QfY+9jn2NPYy9jX2OvY/9kL2QvZB9kP2S/ZZ9mr2e/aH9o32j/aP9pL2m/ar9r/21/bw9wj3Hvcx90D3TfdZ92P3bPdy93b3dvd293f3fPeG95P3n/eo96v3rPes96z3rfep9533h/dp90j3Lfcd9xv3Jfc190T3TvdR90/3SvdD9zr3Lvch9xP3B/b/9v32//cE9wf3CPcH9wP2/Pbx9uH2zva69qr2ovah9qX2qvar9qr2qfau9rj2wvbB9qr2dvYt9dz1mPVv9WL1aPVx9W31V/U19RL09/To9OP03fTR9Lv0nvR99F70Q/Qu9CP0J/Q99Gf0nfTW9QP1HfUi9Rf1AvTq9M70rvSG9Fj0J/P689Lzr/ON82bzOvMM8uHywPKp8pryjfJ98mryV/JJ8kHyPvI+8jvyN/Ix8i7yMPI28j/ySPJO8lDyUfJQ8k/yTvJL8kjyRfJC8kHyPvI68jLyKPId8hTyEPIP8g/yDvII8f/x9PHp8eHx3PHb8dzx4PHn8e7x9fH78f3x/fH88f7yBPIM8hfyIfIp8jHyOfJE8lPyY/Jy8oDyivKU8p7yqvK38sPyzPLT8tfy3fLm8vLzAfMO8xrzI/Mr8zbzQ/NV82jze/OL85fzn/Ol86rzrvO087rzwfPJ89Pz3/Pt8/z0DPQb9Cr0OPRG9FP0YvRx9IL0k/Sl9Lj0y/Td9O/1APUP9R71LPU79Ur1WvVq9Xr1iPWV9aH1rPW39cL1y/XU9d716PXz9gH2EfYh9jD2P/ZN9lr2ZfZw9nr2gvaK9pH2mPaf9qb2rva39sD2yfbS9tr24vbn9uz28Pbz9vb2+Pb59vr2+vb79v73BPcM9xb3IPcr9zT3PfdG90/3Wvdl93D3fPeI95T3ofev9773zffc9+v3+fgF+A/4F/gf+Cn4NvhH+Fn4avh4+IH4hviI+In4iviM+I/4kviU+JT4lPiT+JH4kPiP+I74jviQ+JL4lPiX+Jr4nvij+Kn4sfi5+MD4xfjH+Mj4x/jF+MX4x/jN+Nj46Pj++Rf5MPlE+VP5XPli+Wb5bfl5+Yj5m/mu+cH50vnj+fT6BvoZ+iz6QPpU+mn6f/qV+qv6vvrO+tn63/rf+tv61vrR+s36zPrN+s760PrR+tD6zvrK+sf6xfrE+sT6xfrG+sX6w/rA+rz6uPq1+rT6svqx+q/6rPqp+qX6ofqd+pf6kvqL+oX6fvp6+nf6dvp4+nr6fvqB+oT6hvqH+of6h/qJ+or6jfqR+pT6l/qZ+pr6m/qc+p76ovqn+q/6ufrE+tD63vru+v77Dvsf+y/7PvtM+1n7ZPts+3L7dPt2+3n7gvuQ+6P7uPvJ+9L70fvJ+8D7vPvE+9j79PwP/CH8JPwZ/AT76/vU+8X7vvu9+8D7x/vR+9/78vwK/CX8Qfxc/HT8ivye/LP8yPzf/Pj9Ef0p/T/9U/1m/Xr9jf2f/a/9u/3E/cr90f3b/ej9+f4N/iP+O/5V/nD+i/6l/rv+zP7a/uf+9f8G/xn/K/89/03/YP95/5r/wf/rABEAMABHAFsAcQCMAK0A0QD0ARMBLQFEAVoBcQGJAaIBuAHLAdkB4gHoAegB4gHXAcUBrgGTAXgBXwFMAUEBQwFTAXIBoAHdAiYCfALcA0MDrgQWBHQEwgT9BSYFPwVPBV0FbgWHBagF0QX8BiQGQAZIBjoGEwXZBZUFUgUaBPIE3QTXBNgE2wTaBNYE0QTTBN8E+AUaBUEFZgWIBaUFwgXjBgkGNAZeBoQGoQa0Br8GxQbKBs4G0wbXBtsG3gbeBtsG1QbLBr4GsgapBqQGowaiBp4GlAaFBnMGYgZVBk4GTQZQBlMGVQZXBlgGWQZcBl8GYwZnBmwGdAZ/BowGmgakBqgGpQacBpMGjQaOBpcGpAavBrQGsQamBpYGhwZ8BnYGdgZ5Bn4GgQaBBn8GfAZ5BnkGewaBBogGjgaSBpUGmQaiBq4GvQbKBs4Gxga1BqEGkQaMBpcGsAbRBvcHHwdIB3QHpQfbCBUITAh7CJoIowiRCGYIJQfbB5cHaQdaB2oHkAe8B9wH4wfMB5kHVQcKBsIGggZNBiEF/QXfBcMFqAWJBWEFKQTXBGYD0wMlAmwBwAE+AQEBGQGIAkIDLAQlBRAF0wZlBsgHCAc0B10HiQe5B+UIAwgMCAEH6AfOB70HuwfGB9gH6AfxB/IH7gfqB+kH6gfuB/EH9gf+CAoIGQgrCDwISQhVCGAIbgh/CJEIoQisCLIItQi6CMEIywjWCOAI5gjqCO8I9gkBCQ0JGAkjCSwJNglCCVAJXglqCXQJfgmJCZcJpgm3CcUJ0AnaCeEJ6AntCfAJ8QnxCfMJ+goGChQKIQonCiUKHwoYChQKFQoXChcKFAoNCgUKAQoBCgIJ/wn1Ca8JnQmOCYUJgwmGCYoJjQmNCYsJiQmICYkJjAmQCZMJlgmXCZQJjgmDCXUJYwlOCTYJHAkACOQIzAi6CK4IpwijCKAInwifCKUIsAi/CM8I2gjeCNwI2AjXCNoI4gjtCPgJAgkNCRoJLAlECWAJfQmXCa8JxAnXCe0KBQogCj4KXQp9CpwKtwrOCuAK8AsCCxkLNQtWC3cLkgulC7ALtAu4C78LygvbC+0MAQwSDCIMLgw5DEMMTAxWDGAMagxwDG4MZAxSDD8MMww0DEQMXgx6DI0MkQyIDHkMcAx0DIcMowzCDNsM6wz1DP0NCg0dDTYNUg1sDYQNmg2xDcoN5A3+DhUOKA43DkUOUw5jDnQOhg6YDqgOuQ7KDtwO8A8FDxoPLw9ED1oPcQ+JD6MPvA/VD+wQAxAaEDEQRhBYEGYQbhBzEHYQeRB9EIIQhRCGEIMQfRB1EG8QaxBpEGgQZhBiEF4QWxBaEF4QYxBqEG4QcRBxEHAQbxBsEGcQXhBSEEIQMBAeEA0P+Q/jD8oPrw+VD38Pbw9kD1wPVg9QD0sPSA9HD0gPSQ9GD0APNg8pDxwPEA8GDv0O9A7rDuIO2g7SDsoOwQ63DqwOoQ6XDo4OhA54DmsOWw5IDjUOIg4SDgQN+w30DfAN7A3nDeEN2Q3RDcgNwA23Da0NpA2dDZ0NpQ21DcwN4w31Df0N+g3sDdQNtw2WDXUNVw0/DS8NJw0kDSMNIg0fDR4NIA0oDTQNQA1JDUoNQw03DSkNHg0VDQ0NBQz6DOwM3gzQDMQMtgymDJAMdwxcDEIMLQwdDBUMEAwMDAYL+gvkC8ULnAtsCzsLCQraCq0KfgpNChkJ4gmoCW4JMQjyCLAIbQgwB/8H4AfSB9EH1AfQB78Hnwd2B0sHKAcRBwYHAgb/BvQG4QbFBqQGgwZlBksGMwYcBgMF5gXHBacFhwVqBVAFNwUeBQQE6ATLBKwEjARtBE0ELgQQA/ID1AO1A5QDcgNQAy8DEALyAtQCtQKVAnQCVAI3Ah0CBQHsAdEBsQGLAWIBOQERAO0AygCpAIgAaABJACsAEP/2/9z/wf+j/4T/Zf9F/yX/A/7g/rr+lP5u/kv+K/4O/fP92P28/Z/9gf1j/UT9I/0B/N78u/ya/H38Y/xM/Db8HvwF++n7yvup+4f7ZPtC+yD6/vrd+r36nvqB+mT6R/oq+gz57PnK+an5i/lv+VX5Pfkl+Qv48fjY+ML4sPig+JH4f/hq+FH4OPgh+Az3+vfq99v3y/e696n3l/eG93P3YPdO9zz3K/cd9w72//bt9tr2yPa39qn2nfaS9oX2d/Zn9lj2S/ZB9jn2MfYo9h72FfYN9gj2BfYC9f/1/PX69fr1+/X79fv1+fX39fb19/X79gH2BfYI9gn2CvYN9hP2G/Yg9iL2IPYc9hr2G/Ye9iP2JfYi9h32F/YV9hf2HPYh9iP2I/Yh9iL2KvY39kf2VfZf9mP2Y/Zi9mX2bvZ99pL2q/bG9t/29vcH9xX3H/co9zH3OvdD90j3SfdJ90v3Uvde9273fPeF94X3gfd893z3gPeF94T3d/de9z73HvcI9v/3A/cN9xn3Ifcm9yf3J/ck9x33EfcB9vD24vba9tn22/bb9tn21PbO9sn2xvbC9rj2qPaT9oH2ePZ79oX2j/aT9ov2fPZq9lv2T/ZB9ij2APXL9ZX1afVS9U71VPVX9Uv1MPUL9Of0zPS69K30nfSF9GT0PvQX8/Xz2PPE87zzw/Pd9Af0OfRn9Ib0j/SE9Gv0TfQw9BPz9PPQ86fzf/Nc8z/zKPMP8u/yyfKf8nryXvJO8kPyN/Im8hHx/PHt8efx6PHs8e3x5/Hf8dfx1vHb8ebx8PH38frx+/H68fvx/fH98fvx9vHw8enx4/Hf8dvx1vHR8c3xyfHI8cfxxvHB8brxsPGm8Z3xmPGW8Znxn/Gn8a/xt/G88b7xv/G/8cHxxvHN8dTx2/Hh8enx8/IA8hHyI/I08kLyTvJX8mLybvJ78obyj/KV8pnynvKn8rLywPLN8tny4vLr8vfzBvMZ8y/zRPNX82bzcfN684Dzh/OM85HzlfOZ857zpvOz88Pz2PPt9AP0F/Qp9Dn0R/RU9GH0bvR69If0lPSj9LL0wvTT9OX09/UK9R31MPVD9VT1ZfVz9YD1i/WW9aD1qfWy9bv1xPXM9dT13fXo9fX2BPYU9ib2N/ZH9lT2XvZm9m72dfZ99ob2j/aZ9qP2rPa19r32w/bH9sr2zPbQ9tb23fbl9u328/b49v33A/cL9xT3Hfcl9yn3Kvcq9yn3LPcz9z/3Tvde92/3fveM95n3pfez98H3zvfb9+b38ff8+An4GPgp+Dr4SfhU+Fz4YPhj+GX4Zvho+Gn4avhq+Gn4afho+Gj4afhq+Gz4b/hy+HX4ePh5+Hn4evh7+ID4hviN+JT4m/if+KP4p/ir+LH4t/i/+Mf40vje+Or49fj9+QH5AvkC+QT5Dfkc+TL5S/ll+X35kvmj+bL5v/nM+dn56Pn6+g/6KPpF+mP6gPqY+qj6sfqz+rD6rPqo+qb6pvqn+qn6qvqq+qn6p/qk+qL6ofqi+qP6pvqo+qn6p/qk+qD6m/qW+pH6jfqJ+ob6hPqC+oL6gfqB+oD6fvp7+nf6c/pu+mr6aPpm+mb6Z/po+mr6bPpt+m36bvpw+nL6dfp5+nz6fvp/+oD6gPqB+oT6iPqO+pf6ofqt+rr6yPrX+uf69/sH+xj7KPs3+0X7UftY+137Xvte+2H7aPt0+4P7k/ug+6X7pfuh+577o/ux+8j74vv5/Aj8C/wC+/L73/vM+7z7svut+677tfvD+9b77vwI/CP8PfxU/Gn8e/yK/Jj8pvy1/Mj83fz0/Qr9IP00/UX9Vv1m/Xb9hf2T/Z/9q/24/cj92/3y/gv+Jf5A/lz+eP6U/q3+wv7T/uH+7f76/wj/F/8o/zv/UP9o/4T/pP/I/+sADQArAEYAXwB5AJUAswDRAPABDQEoAUEBWAFtAYIBlQGpAb0BzwHeAeoB8AHxAe0B4wHVAcIBrAGVAYABcAFoAWoBdgGNAbEB5QIsAocC9QNwA+4EZwTPBSAFWAV5BYkFkgWcBa0FygXwBhoGPQZPBkgGJQXqBaIFXAUiBP8E8gT5BQkFGgUnBTAFOAVEBVkFdgWZBbwF3AX2Bg0GJAY+Bl4GgQakBsMG3QbxBwAHCwcUBxoHHQcbBxcHEAcHBvsG7gbgBtQGzgbQBtsG7Ab8BwYHBAb0BtoGvAaiBo8GhgaEBocGjAaQBpMGlgaaBp8GpgavBrcGwAbHBssGzAbKBsQGvQa3BrQGswa2BroGvQa9BrgGsAalBpkGjgaGBoIGgwaJBpIGmwaiBqUGpAahBp8GnwakBqsGsga5Br4GxQbPBuAG9gcKBxcHGAcOBv8G8QbtBvQHBwceBzMHRAdRB18HcweSB7kH5AgLCCgINgg0CCcIEgf/B/IH8Qf7CA8IKAg/CE8IUwhKCDQIFQfzB9IHtAeaB4QHcAdeB00HQgc8BzsHNAcYBtQGVQWVBJsDggJxAZQBEQD9AVkCEgMFBAsFAAXLBmEGxQcGBzMHWweEB6sHywfdB98H1QfIB8IHxwfWB+kH+Af+B/oH8gfpB+UH5QfnB+oH7AfvB/YIAggSCCQINQhDCE4IWQhlCHIIgAiMCJYInQiiCKcIrAiwCLUIuAi8CMIIygjVCOEI7gj5CQQJDQkXCSIJLQk7CUoJWwltCYAJkgmiCbAJvQnLCdoJ5wnwCfEJ7AnjCd0J3gnoCfYKAwoHCgAJ8AndCcwJwAm6CbgJtwm4CboJvwnFCckJxwm+CYsJfglyCWgJYQlcCVcJUwlRCVQJWwlmCXIJfAmBCYEJewlwCWIJUAk5CSAJBAjnCMoIsAiYCIQIdQhrCGYIZghpCG4IdAh7CIMIjQiXCJ4IogiiCKAInwihCKcIsAi6CMMIzQjZCOgI/gkYCTYJUglrCYIJlgmrCcMJ3wn9Ch0KPQpbCnUKigqbCqoKugrPCusLCwstC0sLYQttC3QLeAuAC40LnguyC8QL0wvfC+sL+AwGDBUMIwwuDDQMNww0DCwMHwwRDAYMAwwNDCQMQAxaDGgMZwxaDEsMQwxJDF8MfgydDLUMxQzQDNwM7g0HDSQNQQ1ZDW0Nfw2SDagNwg3bDfEOAw4RDhwOKA43DkgOWg5sDn4OkA6iDrUOyQ7dDvEPAw8VDycPOg9ND2EPdQ+ID50Psw/JD98P8xAEEBAQGBAdECEQJxAtEDQQOBA6EDgQMxAtECcQIhAfEB4QHhAfECAQIxAmECkQLBAtEC4QLRAtEC4QLhAtECgQIBATEAMP8w/jD9MPxA+0D6MPkg+BD3QPaA9eD1MPRw85DysPHw8WDxEPDg8MDwcPAA71DukO3Q7SDsgOvw63DrAOqA6hDpsOlg6RDowOhQ58DnIOZQ5YDksOPQ4uDh4ODQ38De8N5Q3hDd8N3g3aDdENxg26DbANqQ2kDaENnw2eDaINrQ3ADdgN8Q4GDhIOEg4JDfgN4g3IDa4Nlg2BDXINaA1hDVoNUA1BDTANIA0WDRINEw0WDRYNEw0PDQwNDA0ODQ8NCgz+DOwM2AzFDLYMqQyaDIcMbQxODDAMFgwDC/gL7wvlC9cLxQutC5MLdQtUCy8LBArUCp8KZgotCfQJvQmICVMJHQjlCKkIbAgwB/oHzwexB6EHmQeVB4wHewdhB0EHHwcDBu8G4gbaBtEGwwauBpMGdQZXBjsGIgYLBfQF2wXABaUFigVxBVkFQgUqBRAE8gTTBLIEkARvBFAEMQQUA/cD2gO7A5kDdQNRAy4DDQLtAs4CrgKOAm0CTQIuAhIB+AHeAcQBpgGFAWIBPAEWAPAAygCkAIAAXQA8AB0AAP/k/8j/rP+Q/3X/Wv8+/yD+/f7W/qz+hP5f/j/+JP4L/fH91f22/Zb9d/1Y/Tr9G/z7/Nn8tvyU/Hb8XfxH/DP8HfwE++j7yPun+4T7YvtB+yD6/vrd+rv6mvp6+lz6Pvoh+gT55vnI+ar5jvlz+Vr5Qfkn+Qv48PjX+MH4rvif+I/4ffho+FD4N/ge+An39vfl99X3xfe096P3kPd992n3VfdB9y/3H/cP9wD28Pbf9s72vvaw9qT2mPaK9nv2avZZ9kr2PfYy9ij2HvYU9gr2AfX79ff18/Xv9er15vXj9eL14/Xk9eT14fXd9dv12/Xe9eL15vXn9ej16fXt9fT1+/YA9gH1/vX69ff1+PX99gL2BPYD9f71+fX49fr1/vYB9gH1/fX69fv2A/YQ9h/2LPY09jf2NfYz9jT2O/ZI9lz2dfaR9q72x/bb9un28/b69wL3C/cT9xj3GvcZ9xv3Ivcw90P3VPdd91z3VfdO9033VPdf92b3YfdN9y/3Dfby9uP24Pbk9uz29Pb79wL3B/cJ9wT29/bj9s32vPaz9rH2sfau9qj2n/aY9pf2mfab9pb2h/Zx9l/2V/Zd9mv2dPZt9lH2JvX49db1xvXG9cn1xfWy9ZP1cfVV9UX1PPU09SP1CfTo9Mb0qfSS9Hv0YvRB9Bvz8/PO867zlPOC83nze/OL86jzy/Po8/fz9PPf88HzovOG827zVfM48xfy9vLZ8sPysvKf8ofyZ/JD8iLyCPH48ezx4PHQ8b3xqvGe8ZrxnPGf8Z3xlPGJ8YDxfvGF8ZDxnPGl8anxqvGs8a/xs/G18bLxqvGf8ZTxjPGI8YjxifGI8Ybxg/F/8Xvxd/Fz8W3xZvFf8VrxV/FY8VzxY/Fq8XLxd/F78X3xfvGA8YPxh/GM8ZLxlvGb8aPxrfG88c3x4PHx8f/yCvIU8h/yK/I58kbyUvJa8mHyZ/Jv8njygfKL8pTynfKn8rXyx/Lc8vLzCPMa8ynzNvNB80vzVfNf82fzbPNw83Tze/OG85fzrPPF897z9vQK9Bv0KfQ19ED0SvRT9F30Z/Rx9H30ivSa9Kz0v/TT9Oj0/vUU9Sn1PPVO9V31a/V29YH1ivWT9Zz1o/Wq9bD1tvW99cb10vXg9e/1//YN9hr2JfYv9jv2RvZT9mD2bPZ39oH2i/aU9pz2ovam9qj2qfas9rH2uPbC9sz21vbf9uj28fb69wT3DPcR9xH3DPcE9v72/PcB9w73IPc190n3W/dq93j3hfeS96D3rve798f30/ff9+z3+vgJ+Bb4Ifgp+C/4M/g3+Dr4PfhA+EH4QPg/+D34PPg9+D74P/hB+ET4R/hL+E/4UfhS+FL4UfhR+FT4Wfhf+Gb4bfhz+Hv4g/iO+Jr4pfiw+Lj4vvjE+Mj4yvjL+Mn4x/jF+Mb4zvjc+O/5Bfkb+S75PvlL+VX5Xflk+Wz5dfmC+ZP5qvnH+ef6B/ok+jv6S/pV+lr6X/pj+mj6bfpz+nf6evp7+nz6fPp8+nz6e/p6+nn6ePp1+nT6cvpx+nD6b/pt+mv6Z/pj+l/6W/pY+lb6VfpU+lX6V/pa+l36YPpi+mL6Yfpe+lv6WPpW+lX6VPpU+lX6VvpY+lv6X/ph+mT6ZPpk+mP6Yvpj+mX6avpw+nn6g/qO+pz6qvq6+sv63Prt+v77D/sf+y77OvtC+0b7RvtG+0f7S/tV+2P7cft9+4X7ifuL+4/7mfuo+7z70Pvg++r77Pvn+9770vvF+7j7rfum+6X7q/u6+8/76fwF/B/8OPxN/F/8bfx4/ID8h/yR/J/8sfzJ/OH8+P0L/Rr9J/00/UL9Uv1i/XH9f/2O/aD9tv3Q/e/+Dv4u/kz+aP6D/pz+s/7G/tb+5P7w/v3/C/8c/y7/Q/9Y/27/iP+l/8X/5wAKACwASgBkAH0AlgCwAM0A7AEKASUBPQFRAWMBdQGJAaABtwHOAeEB8AH6Af8CAQH/AfkB8AHlAdgBzQHDAboBswGuAa4BuQHWAgwCYgLUA1wD7QR4BO8FSgWFBaQFrwWzBbgFxgXcBfgGDwYbBhMF9wXLBZcFZgVABSsFJwUvBT8FUQVjBXQFhwWeBboF2gX7BhgGMgZIBl0GcwaNBqkGxQbdBvIHAQcOBxsHKQc5B0kHVgdfB2IHWwdMBzQHFgb4Bt8G1AbZBu4HDAcpBz0HQAcxBxQG8QbSBrwGsQavBrMGtwa7BrwGvAa+BsMGzgbeBu8HAAcKBw0HCAb+BvMG6gbmBucG6QboBuIG1gbHBrkGrgapBqkGrAavBrEGtAa3BrwGwQbFBsYGwwa9BrgGuAa+BskG1gbiBusG8gb7BwcHFwcoBzcHPwdABz0HOwdAB04HYQd0B4EHhQeCB30HfAeEB5UHqwfCB9UH4gfqB/EH+wgICBcIJwg1CD4IRQhLCFAIVghcCGEIYwhiCGAIXQhZCFIIRgg0CCAIEQgNCBkIMQhDCDcH8QdcBncFTwQIAtEB2AFBAR4BbgIcAwYEBwT7BckGZAbPBxQHQgdlB4UHoQe4B8YHzQfRB9YH4AfvB/wIBQgEB/oH7gfjB90H3QfhB+QH5gfnB+sH9ggGCBoILQg8CEUISwhPCFUIXghpCHUIfgiECIcIhwiHCIgIiwiRCJoIpQiyCMEIzwjcCOkI9Aj9CQcJEQkfCTAJRAlaCW8JfwmNCZkJqAm6CdAJ5gn1CfkJ8wnnCdsJ1gnbCeYJ8Qn1Ce4J3QnICbMJpAmaCZYJkwmTCZUJmAmcCZ8JnQmXCWUJWQlNCUAJNAkoCR0JFwkWCR0JKwk7CUoJUglSCUkJOQkmCRAI+QjgCMUIqwiTCH8IbwhkCF0IWAhVCFQIVAhWCFgIWwhdCF8IYQhiCGMIZAhlCGgIbAhxCHcIfgiFCI0IlgijCLYIzgjoCQMJHQk1CUsJYwl9CZsJugnaCfgKFAosCkEKVQpoCnwKkwquCs0K7QsICx4LKwszCzkLQwtSC2YLeguMC5cLngujC6wLugvOC+IL8gv7C/wL9wvuC+UL3gvZC9kL4AvuDAIMFwwpDDIMMAwnDB8MHgwqDEAMXQx5DI8MnwysDLwM0gzuDQwNKQ1BDVQNZg15DY8Npg27DcwN2A3hDeoN9Q4EDhYOKQ48Dk4OYQ51DooOnw6zDsYO1w7nDvYPBw8YDyoPPA9OD2EPdQ+JD50Prg+9D8gP0A/WD9sP4A/lD+oP7g/wD/EP8A/uD+oP5Q/hD94P3g/hD+cP7Q/zD/cP9w/1D/IP8A/wD/EP8Q/wD+oP4Q/UD8UPtQ+lD5YPiA96D2sPXQ9QD0QPOQ8uDyMPFg8HDvkO6w7hDtsO1g7SDs4Oxg67Dq4Oog6YDpEOjQ6KDocOgg58DnYOcQ5tDmkOZA5dDlIORQ43DioOIA4WDgwOAA3yDeYN2w3VDdANyw3EDbgNqg2eDZUNkg2TDZUNmA2bDaANqw2/DdgN9A4NDh4OJw4oDiQOHA4RDgQN9Q3nDdsN0Q3JDb4NrQ2TDXINUA0yDRwNEA0MDQwNDw0TDRoNIw0rDS4NKQ0ZDQEM5gzNDLkMqQyaDIUMawxNDDAMGQwJC/0L7wvcC8ELoQuAC2ULUAtACy0LEgrsCrsKgApCCgQJxwmNCVMJGgjhCKkIcgg+CA4H5AfBB6cHlgeKB4EHdAdgB0MHIAb7BtoGwQaxBqUGnAaOBnwGZAZJBi0GEgX4Bd8FxgWuBZcFgQVuBVoFRwUwBRcE+QTYBLUEkARtBEsEKwQNA/AD0wO1A5QDcQNMAygDBALiAsICogKDAmUCRgIoAgsB7gHRAbMBlAF0AVMBMQENAOgAwQCZAHIASwAoAAf/6f/M/7H/l/9//2f/UP83/xr+9/7P/qX+ff5Z/jv+IP4G/er9y/2q/Yj9af1N/TP9GPz8/Nv8ufyW/Hf8XfxG/DH8G/wB++P7wvue+3r7WPs3+xj6+PrY+rj6lvp1+lT6NfoX+fr53fnB+af5jfl1+V35Q/kp+Q348fjW+L/4q/iZ+Ij4dfhg+En4Mfga+AT38fff9873vvet95v3iPd092D3S/c49yb3FfcF9vX25PbU9sT2tvao9pv2jvZ/9m72XfZN9kD2NPYp9h32EPYC9fb17fXo9eX14vXe9dj10fXL9cj1yPXJ9cn1xvXD9cH1wfXD9cb1x/XH9cb1xfXI9c711vXc9d/13vXc9dr13PXg9eP15PXh9d312vXb9d714fXi9d/12fXU9dX13PXo9ff2A/YL9g32C/YJ9gn2DfYX9ij2QPZc9nv2l/au9r72yfbR9tn24vbq9u727vbs9uv28fb/9xP3Jfcw9zH3Kvcj9yH3Kfc390H3Qvcz9xj2+fbd9sr2wvbD9sj2z/bZ9uP27fby9u323fbG9q32m/aR9o72jfaJ9oH2ePZz9nX2fPaB9nz2bPZV9kP2PfZG9lH2T/Yw9fL1ovVX9Sr1J/VJ9X31qfW79a71iPVb9TL1FvUD9PP03vTE9KX0hvRn9Ej0JvQC89zzufOb84Hza/NY80fzO/M48z/zTfNb82DzWfNG8yvzEPL58uTy0PK48pzyf/Jk8k/yP/Iw8h/yCPHt8dLxu/Go8ZrxjfF/8XHxZPFd8VrxWfFX8VHxRvE78TPxM/E68UbxUPFX8VnxWfFb8V/xZPFn8WXxXfFS8UfxP/E98T7xQPFA8T3xN/Ew8SnxJPEg8RzxGfEX8RbxGPEc8SLxKfEw8TXxOfE88T7xQPFD8UbxS/FP8VPxV/Fb8WDxafF18YTxlPGi8bDxvPHI8dXx5PH08gTyEvIf8inyMfI38j3yQvJH8kzyVPJg8nDyhPKb8rLyx/LX8uXy8PL88wjzFvMl8zLzPfNG807zV/Ni83HzhfOb87PzyfPd8+7z/PQH9BL0HfQn9DH0O/RF9FD0XfRr9Hv0jfSg9LT0yfTd9PL1B/Ub9S31PvVM9Vj1Y/Vs9XX1fvWG9Y71lvWd9aX1rfW29b/1yPXR9dr15PXx9f/2D/Yg9jD2PfZJ9lP2XfZn9nL2fPaF9ov2jvaR9pP2l/ad9qX2rfa19r72x/bR9tv24/bn9ub24PbY9tH2zvbR9tz27fcB9xX3J/c490n3Wfdp93r3iveZ96b3sve998j31Pff9+n38vf49/34AvgH+Az4EPgS+BP4EvgQ+A/4D/gQ+BH4E/gV+Bf4Gvgd+CD4I/gm+Cf4Kfgs+DD4N/g9+EP4SfhP+Fb4X/hp+HX4gPiK+JP4mfig+Kb4rPiw+LT4tfi2+Lj4vPjD+M342Pjj+O349fj8+QP5CfkP+RP5GPkd+SX5MvlD+Vn5cfmJ+Z/5svnD+dP54vny+gH6D/oa+iT6K/oy+jr6QfpJ+lD6VPpT+k/6R/o/+jf6M/oy+jX6Ofo9+j/6QPo/+j36Ofo0+i/6Kfoj+h76Hvoh+ij6Mfo7+kL6R/pI+kf6RPpB+j/6Pfo8+jz6PvpA+kP6R/pK+kv6SvpI+kX6Q/pD+kb6SvpQ+lj6YPpr+nj6iPqb+q76wvrV+ub69/sG+xX7Ifsr+zH7NPs2+zj7PPtD+077Wftk+277dft8+4T7kPue+637vPvG+837z/vN+8r7xPu9+7T7qvuj+6H7pvuz+8f74Pv6/BT8LPxA/FL8Xvxn/Gz8cfx4/IX8mfyy/Mz84/z1/QL9C/0V/SH9MP0//U79XP1q/Xz9k/2w/dP9+f4c/jz+V/5v/oX+m/6w/sP+1f7k/vP/Af8S/yP/Nv9K/1//df+P/6z/zv/wABMAMQBMAGMAeQCRAKwAyQDoAQQBHgE0AUcBWwFyAYsBpQG/AdYB6QH5AgYCEAIZAiACIwIkAiMCIQIfAhwCFgINAgAB9QHzAgUCMgJ+AucDZQPpBGYE0gUlBWEFigWnBb4F0gXiBewF6wXfBcgFqgWNBXUFZQVfBWAFZQVsBXMFewWHBZcFrQXJBecGBQYgBjgGTQZiBnkGkwawBswG5Ab3BwQHCwcSBxoHJwc5B1EHageCB5IHlgeMB3EHSwciBv4G6QbnBvYHEQcrBz0HQQc1Bx8HBwbyBucG4wblBugG6QbkBtoGzwbHBsYG0AbkBv4HGAcsBzUHMwcpBx8HGQcbByMHKgcrByEHDgb2BuEG1QbUBt0G6QbzBvgG9wb0Bu8G6wbnBuAG1wbNBsUGwwbJBtYG5gb2BwEHCAcNBxQHHwcsBzsHRwdOB1IHVgdcB2gHeQeKB5gHoAehB58HnQeeB6QHrQe4B8MHzgfcB+0IAwgbCDMIRghTCFkIXAhfCGYIcQh/CIwIlwieCKMIpgipCKcInQiJCG0IUQg+CD0ITwhrCHsIZggUB3gGlAV6BEoDKwJCAa4BgAG7AlEDJwQcBQsF2QZ2BuEHIgdKB2YHfweYB7EHxgfXB+UH8Af6CAAIAAf4B+oH2wfPB8oHywfRB9gH3QfiB+kH9QgHCBwIMQhACEgISghICEcISwhUCF8IaQhvCHEIcQhwCHMIeQiCCI4ImwinCLMIwAjOCNwI6Qj0CP4JCAkUCSQJOQlPCWQJdAmACYkJlAmlCbsJ0gnkCe0J6gngCdUJ0AnUCd0J6AntCeoJ3gnNCb0JrwmlCZwJlAmMCYUJgAl8CXkJdQluCTkJLQkfCRAJAAjyCOgI4wjmCPEI/wkOCRcJFwkMCPkI4QjICLEInAiICHYIZghZCFAISwhICEYIQwg/CDkIMwguCCoIKAgmCCQIJAgkCCYIKggwCDgIPwhFCEkITAhPCFUIYAhwCIUIngi3CM8I5Qj7CRMJLwlPCXMJlgm2CdIJ6Qn9ChAKJQo9ClgKdgqVCrMKzArgCu0K9gr9CwcLFwsrC0ILVQtgC2ULZgtpC3MLhgudC7MLwgvGC8ELtwuuC6kLqguwC7kLxAvQC9wL6AvyC/cL+Qv4C/oMAgwSDCkMQgxZDG0MfQyNDKAMtwzSDO4NCg0jDTkNTw1lDXsNjQ2bDaQNqA2sDbMNvw3PDeMN+A4MDh8OMw5IDl4OdA6JDpsOqw67DsoO2w7tDwAPFA8oDzoPTA9cD2sPdw+CD4wPlA+cD6IPpw+qD6wPrg+wD7QPtw+4D7YPsQ+rD6YPpA+mD60PtQ+8D8APwQ+/D70PvA+7D7sPuQ+1D60Pow+XD4oPfA9vD2EPUw9EDzYPJw8ZDwwO/w7zDugO3Q7RDsUOug6wDqcOnw6ZDpIOiw6BDncObg5pDmcOaQ5rDmwOaQ5iDlgOTw5HDkIOPQ43Di4OIw4YDg8OCA4EDf8N9w3sDeAN0w3IDb4NtA2pDZ0NkQ2JDYYNiA2NDZENkw2TDZUNng2vDcoN6A4FDh0OLQ44Dj4OQQ5BDjwONQ4rDiEOGQ4TDgoN+Q3dDbcNjA1kDUUNMw0tDTANOQ1DDUwNVA1XDVMNRQ0tDQ0M6wzMDLIMngyLDHYMXgxEDC4MHgwVDA4MAAvnC8ELlAtpC0gLNAsrCyYLGgsDCt0KrQp2CjsJ/wnACX0JNwjxCK8IdAhBCBUH7wfNB68HmAeGB3oHbQdcB0MHIAb3Bs4GqwaQBn8GdQZtBmIGUwY+BiUGCQXtBdEFtgWdBYYFcgVfBU4FOwUnBQ4E8QTSBK8EiwRmBEIEIAQAA+IDxQOoA4oDaQNGAyEC/ALYArYClQJ3AloCPgIiAgYB6QHJAagBhgFlAUQBJAEDAOAAugCRAGcAPQAX//T/1v+6/6H/if9y/1z/Rf8s/xD+7v7I/qH+ev5X/jf+G/3+/d/9vv2b/Xr9XP1D/Sz9FPz6/Nv8ufyY/Hn8XvxH/DH8Gvv++977uvuU+2/7TPss+w768vrU+rb6lvp1+lT6NPoU+fX52Pm9+aP5ivlz+Vv5Qfkm+Qv47/jV+L74qfiV+IL4bfhY+EL4K/gV9//36/fY98b3tPej95L3f/ds91j3RPcx9x/3D/b+9u723fbM9rz2rvag9pH2gvZx9mD2UPZC9jf2LvYj9hb2BvX19eb12/XV9dL1z/XL9cT1u/W09a/1rfWt9az1qvWo9ab1pvWn9an1qfWn9aT1ovWk9aj1r/W29br1vfW99b71v/XB9cH1wPW99bn1uPW59b31wPXB9b31t/Wy9bL1ufXF9dH13PXj9eX15PXi9eL15fXt9fv2EPYr9kn2ZfZ99o72mfai9qv2tfa+9sP2w/a/9r32wvbP9uL29fcC9wT2/fb29vP2+/cI9xb3G/cT9v/25fbM9rn2rvaq9qz2sva99sn21PbY9tL2wPam9o32e/Zy9nD2b/Zr9mH2WPZV9ln2YfZm9l72TPY09iP2IPYp9i72GfXd9Xv1CfSp9Hr0jfTX9Tr1kfW+9bf1iPVH9Qz05fTR9Mf0vPSp9Iz0afRC9Brz8/PM86jzh/Nt81fzRPMu8xby/vLp8tzy2PLZ8try1PLF8rDymPKB8mzyWfJD8ivyEfH48eTx1vHL8cHxtPGi8YzxdvFh8U/xQPE18SvxJPEf8RzxGPES8QrxAPD38PPw9fD78QPxCfEL8QrxCfEJ8Q3xEvEV8RTxD/EH8QDw+vD48Pjw9/D08O7w5/Df8Nnw1vDU8NPw0/DT8NXw2fDf8Ofw7vD18Prw/vEB8QPxBvEJ8Q3xEfEV8RjxG/Ee8SPxKPEw8TrxRfFS8WDxbvF88YzxnfGt8b7xzvHc8ejx8/H68gDyBPII8gzyFPIf8i/yQ/JZ8m7ygfKQ8p3yqPKz8sDyz/Lg8vHzAfMQ8x7zK/M480fzWPNr837zkvOk87Tzw/PQ89zz6fP19AL0DvQa9Cf0NfRE9FT0ZfR39Ij0mPSo9Lj0yvTc9O/1AfUT9SL1MPU79Ub1UfVc9Wj1c/V+9Yf1j/WU9Zj1nPWh9af1sPW99cv13PXs9fv2CPYS9hz2JvYy9kD2TvZb9mb2bvZy9nX2ePZ79n/2hfaK9o/2lfab9qH2p/ar9q32rPap9qb2pPal9qr2tPbA9s723fbt9v73Efcl9zr3Tvdg93D3fveK95b3ofes97b3v/fG98330vfX99z33/fh9+H34Pff99733/fh9+P35vfp9+z37vfx9/X3+ff9+AH4B/gN+BT4G/gi+Cj4Lvgy+Dj4PvhE+Ez4U/hZ+GD4aPhx+H34iviX+KL4qviv+LP4tvi5+L74wvjH+M340vjZ+N/45vjs+O/48fjw+O747fjt+PD49/kA+Qz5Gvkr+T/5VPlq+X/5kvmi+a/5uvnH+db55/n5+gr6F/od+hz6FfoL+gH5+vn2+ff5+vn9+gD6A/oF+gf6CPoH+gT5/vn1+ez55vnl+er58/n/+gv6FPob+h76H/of+h76Hfoc+hz6Hvoh+ib6K/ov+jH6MPot+in6J/on+ir6Lvo0+jv6Q/pO+lz6bvqC+pj6rvrC+tL64Prs+vj7BPsP+xr7I/sq+zD7Nvs9+0T7TPtU+1v7Y/tq+3P7f/uM+5n7pfuu+7T7t/u4+7j7tfux+6v7pPuf+537ovuu+8H71/vw/An8IPw1/Ef8VPxc/GD8ZPxr/Hj8jPyl/MD81/zp/Pb8//0I/RX9I/0z/UH9Tv1Z/Wj9fP2Y/br93v4B/iD+Ov5Q/mb+ff6V/q7+xf7a/uv++v8J/xr/Lf9B/1j/cP+J/6X/wv/g//0AGAAxAEYAXABzAIwApwDDAN8A+QESASoBQgFbAXUBjwGoAb8B1AHpAf0CEgInAjgCRQJOAlMCVwJcAmMCaQJtAmwCZQJdAlkCYgJ9Aq4C9ANIA6QEAgRcBLEFAAVKBYsFvgXfBecF2AW3BY4FaQVSBU0FWQVuBYQFlQWdBZ8FoAWnBbQFygXkBf8GFgYqBjsGTQZiBn0Gmwa7BtkG8gcGBxQHHgclBy0HOAdHB1wHdQeQB6gHtwe4B6oHjgdrB0kHLgcgBxwHIAcjByMHHgcVBwwHCAcMBxQHHwcoByoHIgcRBvkG3wbJBr0GvwbOBugHBQcdBysHLQcpByQHJgcxB0MHVQdeB1oHSAcwBxkHCwcIBxAHGgcjByYHIwcbBxIHCAb/BvUG6AbcBtIGzgbTBt8G7wb/BwwHFQcbByMHLwc+B04HXAdmB2kHaAdnB2kHcQd/B5AHoweyB74HxgfKB80H0QfWB94H6Qf5CAsIIQg3CEwIXQhrCHYIgQiNCJsIqgi4CMIIxwjICMYIxgjGCMYIwQizCJ0IgQhnCFYIUwhZCGAIVwguB9YHSAaGBZoEmAObAsICKgHsAhIClQNdBEcFLgXzBoYG5wcgB0QHXwd7B5kHtQfNB94H6AftB+4H6wfjB9gHzAfCB70HvwfFB84H2AfiB+0H+wgOCCMINwhGCE0ITQhJCEYIRghKCFIIWwhgCGQIZQhoCG4IeAiFCJEImwijCKoIswi/CM8I3wjuCPoJBAkPCR4JMglKCWEJdAmACYcJjAmUCaAJsAm/CcgJygnHCcMJwQnGCc4J1wnbCdgJzgnBCbIJpQmZCY0Jggl1CWkJXwlXCVAJSglCCQsI/gjvCN8IzwjCCLgItgi6CMUI0gjdCOEI2wjLCLQImwiCCGwIWghMCEAINggvCCgIIwgdCBYIDAgAB/QH6QfgB9sH2QfaB94H4gfoB/AH+ggDCAsIEQgVCBcIGAgcCCQIMwhHCF4IdwiOCKIItQjJCOEJAAkkCUwJcgmUCbAJxQnXCekJ/goXCjMKUgpvCogKnQqrCrYKwArMCtsK7gsDCxYLJAssCzALNAs9C00LZAt7C40LlQuTC4sLgQt9C38LiAuTC58LpwuuC7ILtwu7C8ALxgvNC9cL5Qv4DA4MJgw8DE8MYAxxDIQMmgyzDM0M5w0BDRsNNA1LDV8NbQ11DXcNdw16DYENjw2hDbYNyw3fDfIOBg4bDjEOSA5cDm8OgA6QDqIOtQ7KDuAO9w8MDx8PLg86D0MPSg9RD1gPYA9oD3APdA91D3UPdA91D3gPfQ+BD4IPfw95D3QPcQ9zD3gPfw+FD4gPiQ+ID4gPiA+HD4UPgA95D3APZw9eD1UPSw9ADzQPJg8XDwgO+Q7rDt4O0Q7GDrwOsg6pDp4OkQ6DDnQOZw5dDlYOUg5PDksOSA5HDkgOTA5QDlIOTg5FDjcOKQ4eDhYOEQ4ODgkOAw39DfgN9A3xDe4N6A3eDdANwg2zDacNnA2SDYkNgw2BDYMNiA2NDY8NjQ2JDYcNjQ2dDbUN0Q3sDgMOEg4cDiIOJQ4kDh4OFA4JDgAN/A38DfwN9g3lDccNog19DWANUQ1QDVkNZQ1vDXQNcw1rDVoNQQ0gDPkM0wywDJQMfgxrDFgMQwwvDB4MFAwQDAwMAQvoC8ILkwtlC0ILLQslCyELGgsJCu0KxwqcCm0KOgn/CboJbAkZCMkIgAhDCBEH5ge/B5wHfgdnB1cHSwdBBzAHFwb1Bs0GpgaFBm4GXwZXBlEGSAY5BiUGCwXuBc8FsQWVBXwFZQVRBT0FKQUSBPkE3QTABKAEfwRcBDkEFwP2A9gDuwOfA4MDZQNFAyIC/gLYArMCkAJvAlACMwIYAfwB3wHAAZ4BewFYATcBFwD3ANYAsQCIAFwAMAAI/+T/x/+t/5b/f/9o/0//Nf8a/vz+2/64/pP+b/5M/iv+DP3u/c79rv2O/XD9VP08/SX9DPzx/NL8sfyR/HP8WvxD/Cz8FPv3+9X7sPuL+2b7Rfsm+wn67frR+rP6lfp1+lX6NPoU+fX51/m7+aL5iflx+Vf5Pfkh+Qb46/jT+L34qPiU+H74aPhR+Dn4I/gN9/j34/fP97z3qfeX94b3dPdh9073O/cp9xf3B/b39ub21fbE9rT2pfaW9of2d/Zl9lP2QvY09in2IPYV9gn1+fXn9df1y/XD9b71uvW19a71pvWf9Zr1l/WW9ZP1j/WL9Yf1hfWF9YX1hPWC9X/1ffV+9YH1hvWL9Y/1kvWU9ZX1l/WZ9Zn1l/WT9ZD1kPWS9Zb1mPWZ9Zb1kvWP9ZH1l/Wi9a31tfW69bz1vPW69br1vfXD9dD14/X89hj2MvZI9lj2Y/Zs9nb2gfaM9pP2lPaS9pD2lPag9rP2xvbS9tX2z/bG9sL2yPbV9uX27/bw9uX20va99qn2mvaQ9o32kfab9qj2tPa59rH2nvaF9mz2W/ZT9lH2T/ZJ9j72NfYy9jX2PPY+9jT2H/YH9fn1+fYA9fz11vWB9Qb0gPQa8/b0IfSL9Q71efWt9aD1Y/UU9NP0rfSj9Kb0pvSY9Hr0UvQl8/rz0POn83/zW/M88yPzDvL68uLyx/Kq8pLygfJ48nPybPJf8kvyMvIZ8gLx7fHb8cjxs/Gf8Y/xgvF68XPxavFc8UnxMvEc8Qjw+PDu8Obw4fDd8Njw0vDK8MPwvPC48LbwuPC78L7wv/C/8L7wvfC+8MHww/DF8MTwwfC88Lfws/Cv8Kzwp/Ch8JrwlfCS8JHwkvCT8JTwlPCV8JfwnPCi8KrwsvC58MDwxfDJ8MzwzvDR8NPw1fDY8Nvw3/Dj8Ofw6/Dw8Pfw//EL8RjxJ/E38UfxWPFo8XfxhvGV8aPxsPG88cbxz/HW8d3x5fHu8fryB/IX8ifyN/JH8lXyY/Jw8n7yjfKd8q/ywfLT8uXy9vMG8xbzJfM180bzV/Np83rzivOZ86jztfPD89Dz3vPr8/r0CvQb9C30QPRR9GH0b/R79Ib0kvSf9K/0wfTU9Ob09vUF9RP1IfUv9T31TPVZ9WX1bvV09Xj1fPWA9Yb1jvWZ9ab1tPXB9cz11vXf9ej18vX99gr2GPYm9jL2O/ZC9kj2TfZS9lj2XfZh9mT2ZfZm9mf2afZt9nH2dfZ49nn2efZ59nn2e/Z+9oT2jPaX9qT2tPbH9t329fcM9yL3NfdH91b3ZPdx9333iPeR95n3n/ek96f3qver96v3q/er96v3rPeu97L3t/e798D3xPfJ98330/fY99/35/fu9/b3/fgD+An4D/gV+Bv4Ifgn+Cz4L/gz+Df4PfhG+FH4Xvhs+Hn4hPiM+JT4mvih+Kn4sfi6+MP4y/jT+Nv44fjn+Or46vjo+OL42vjR+Mf4vvi5+Lj4vPjG+NT45vj5+Qz5HPkq+TX5QPlM+Vz5b/mG+Z35svnC+cv5zfnK+cT5vfm2+bD5q/ml+aH5n/mh+ab5r/m4+b/5wvnA+bv5tvm0+bb5vPnG+dD52/nj+en57Pnu+e/57/nv+fD58/n4+gD6B/oN+hH6EfoP+gz6C/oM+hD6Ffoc+iT6Lvo6+kn6Xfpz+on6n/qx+sD6yvrU+tz65vry+v77C/sW+yD7Kfsx+zj7P/tF+0v7UPtW+177aPtz+3/7i/uV+537o/um+6j7p/ul+6P7oPug+6P7qvu3+8j73fv0/Az8I/w3/En8Vfxb/F78YPxk/G78gPyX/LD8yPzb/Ov8+P0F/RX9Jv03/Ub9Uv1b/Wb9dP2J/aP9wP3d/fj+Ef4p/kP+X/5//p7+u/7U/uf+9v8E/xP/Jf87/1T/bv+J/6P/u//S/+j//QASACgAPwBXAHAAiQCiALwA1QDvAQoBJQFAAVkBcAGGAZoBsAHIAeQCAwIhAj0CUgJgAmkCbwJ4AoUClwKsAr8CzALQAs4CyALEAsgC1wL0Ax4DVQOZA+kERASmBQYFWgWWBbMFrwWTBWoFRQUwBTIFRwVnBYgFowW0Bb0FxQXQBeIF+AYPBiQGNQZBBk4GXgZ0Bo8GrgbOBuwHBwcfBzUHSAdZB2YHcQd6B4MHjwedB64HvAfGB8cHwAeyB58Hiwd2B2AHSQcxBxoHCAb/BwIHEQcoB0IHWAdlB2UHWAdBByIHAQbkBtAGyAbOBt4G8gcEBw4HEQcQBxAHGQcrB0QHXAdrB20HYQdNBzgHKQcjByUHKwcwBzIHLwcpByIHGwcSBwgG/QbxBucG5AboBvIHAQcRBx8HKwc1B0EHTwdhB3QHhAeOB5EHjgeHB4IHgweNB54HtQfMB94H6gfwB/IH9Af4CAEIDggeCC4IPghNCFsIaQh5CIkImwiuCMAI0AjcCOQI6AjnCOQI4gjhCOEI4AjcCNQIxwi2CKQIkgiACG0IUwgtB/EHmQcdBnkFrwTKA+EDEgJ/AkICaALpA6wEjAVjBhYGmQbuByQHSAdnB4UHoQe3B8UHzQfQB9EH0gfSB9EHzAfHB8IHwQfEB8sH1QfiB+8H/ggPCCEIMghACEcISQhGCEIIQAhBCEYITAhRCFUIWQheCGYIcQh9CIcIjwiUCJgInwirCL0I0AjjCPEI/AkGCRQJKQlCCV4JdQmECYoJiQmHCYgJjgmYCaIJqQmtCa8JrwmxCbMJtAmwCagJmgmJCXgJaAlbCVAJRgk9CTUJLgkpCSMJHQkVCNcIygi+CLAIowiXCI8IjAiPCJcIoQipCKsIpwibCIkIdAhfCE0IPAgtCCEIFAgIB/wH7wfhB9IHwwe0B6gHngeZB5cHmgefB6cHsQe8B8cH0QfYB94H4QfjB+UH6QfyB/8IEQgoCD8IVghrCHwIjAifCLYI1Qj6CSQJTAlvCYsJoAmxCcIJ1gnuCgkKJQo+ClQKZQp0CoIKkQqjCrYKyQrZCuUK7Qr1Cv0LCwsdCzMLSQtZC2ALYAtaC1QLUwtYC2ILbgt5C4ALgwuEC4QLhwuMC5ILmgukC7ELwgvYC/AMCQwgDDQMRgxXDGkMfQyUDK0MxwzhDPoNEw0oDTgNQw1IDUoNTA1RDVsNag19DZANow21DccN2g3uDgMOGA4sDj8OUQ5kDngOjg6mDr4O1g7sDv4PDA8WDx0PIQ8mDysPMw87D0EPRA9DDz8POw85DzsPQA9GD0oPSw9KD0gPSA9KD04PUg9VD1cPVg9WD1YPVg9UD08PSA8/DzYPLw8qDyQPHg8UDwYO9g7nDtgOzA7ADrUOqw6iDpkOkQ6IDnwObA5YDkMOMQ4lDiEOIg4mDioOLQ4uDi4OMA4xDjEOLA4iDhQOBA33De4N6g3oDegN5g3kDeAN3Q3aDdYNzg3EDbYNqA2bDZANiA2CDX0New18DX8Ngg2FDYUNgg1+DXwNgA2MDZwNrQ27DcMNxg3EDcENug2wDaENjw19DXINcQ16DYgNlA2WDYsNdQ1dDUkNQQ1FDVANXQ1kDWQNWw1JDTENEwzwDMkMowyDDGkMVgxHDDkMKQwZDAoL/gv3C/AL5AvPC68LiQtkC0YLNAssCyYLHAsJCuwKygqmCoIKWwotCfMJrAlbCQgIuAhwCDIH+gfHB5cHbAdIBy4HHwcWBw4HAQbqBswGqgaIBm0GXAZSBk0GSAY+BiwGEgXyBc8FrAWNBXEFWgVEBS4FFgT7BN4EwQSkBIYEaQRLBC0EDgPwA9MDtwOdA4IDZwNJAykDBwLjAr0ClwJyAk0CLAIMAe8B0QGxAY8BawFGASIBAADfAL0AmABwAEQAGf/y/9H/tv+g/4v/dv9d/0L/JP8E/uT+w/6h/n7+W/45/hn9+v3c/b/9o/2H/W39U/07/SH9Bvzo/Mj8qPyI/Gz8U/w7/CL8B/vo+8f7pPuB+2H7Qvsl+wj66vrL+qv6i/pr+kz6LfoO+fD51Pm6+aL5ivlx+Vf5O/kd+QH45/jP+Lr4pfiQ+Hn4YPhH+C/4GfgE9+/32/fG97L3nveL93n3Z/dV90L3L/cc9wv2+vbq9tr2yfa49qj2mfaL9n32bfZc9kn2NvYl9hf2C/YA9fP15vXX9cn1vfW09a71p/Wg9Zj1kfWK9YX1gvV/9Xr1dPVt9Wf1YvVg9V71XfVb9Vn1V/VX9Vn1W/Ve9WD1YvVj9WX1aPVr9Wz1bPVr9Wn1aPVp9Wv1bPVs9Wr1aPVo9Wv1cvV89Yb1jvWU9Zb1lvWU9ZL1kvWW9aH1s/XM9ej2AvYX9iX2L/Y49kP2T/Zb9mP2ZvZk9mL2ZvZx9oP2lvaj9qf2ofaY9pP2lvah9rH2wPbH9sX2ufan9pL2f/Zw9mj2afZz9oL2kfaY9pP2gfZo9lH2QPY39jP2LvYm9hr2EPYL9g72EvYQ9gP17vXY9c31z/XT9cb1kvUt9KX0HPO+863z8PRw9P71avWS9XT1J/TP9I70cvR29IT0i/R89Fr0LvQA89fzsfOJ81/zMvMI8ubyzfK68qjyk/J68l7yRfIz8iXyGPIK8fbx3fHD8avxmPGH8XnxafFZ8UnxO/Ew8SbxG/EN8Pvw5vDR8L/wsfCo8KHwnPCV8I7whvCA8HvwePB28HXwc/Bx8G/wb/Bv8HLwdvB58HzwfPB68HbwcvBu8GrwZvBg8FnwUvBL8EfwRvBI8EzwUPBT8FTwVfBV8FjwXPBj8GvwdPB98IXwjPCS8JXwl/CY8Jfwl/CY8Jrwn/Ck8KnwrvCz8LrwwvDM8Njw5/D28QXxFPEj8TLxQvFR8WHxcvGC8ZHxn/Gs8bbxvvHE8cnxz/HW8eHx7vH/8hHyI/I18kXyVfJl8nbyiPKb8q/ywvLU8uTy9PMC8xLzIvMz80TzVvNm83Xzg/OQ853zq/O688nz2/Pu9AH0FfQo9Dn0SPRT9F30ZvRv9Hv0ivSa9Kz0vvTP9N/07/T+9Q71HvUt9Tv1R/VQ9Vf1XvVk9Wv1dPV+9Yj1kvWb9aT1rPW09bz1xfXO9dj14vXs9fX1/vYF9g32FfYe9if2L/Y19jf2N/Y19jT2M/Y19jr2QfZG9kr2TPZK9kj2RvZF9kb2SPZM9lL2W/Zp9nv2kvar9sX23fbz9wX3Fvcl9zP3QPdM91b3Xvdk92n3bvdx93T3dvd493n3evd894D3hfeK95D3lfea95/3pfes97T3vffF98331Pfb9+P36/f09/34BvgN+BP4F/ga+B74Ifgm+Cz4M/g7+EP4S/hU+F74avh2+IT4k/ih+K74ufjB+Mf4y/jN+ND40vjU+NX40/jO+Mb4vPiy+Kv4p/io+Kz4tPi9+MX4zvjU+Nr44Pjm+O/4+vkK+Rz5MPlE+VX5Yvlq+Wz5a/ll+Vv5T/lD+Tf5L/ku+TP5PvlN+Vz5aPlx+XX5ePl7+X/5hvmP+Zj5oPmo+a75s/m2+bn5uvm8+b75w/nK+dP52/nj+ef56fno+ej56Pnr+fD59/n/+gr6Fvom+jf6S/ph+nb6ivqa+qj6tPq9+sb60PrZ+uP67vr4+wL7C/sV+x77J/sv+zX7O/tA+0b7TPtU+177avt1+4H7ivuR+5b7mvuc+6D7pfur+7T7v/vN+9z77vwC/Bf8LvxD/FT8Yfxn/Gj8aPxp/G78evyM/KL8ufzP/OL89P0G/Rn9LP0+/U79W/1k/W39eP2F/ZX9qf2+/dT97P4H/ib+Sf5t/pH+sf7L/uD+7/78/wr/HP8y/0v/Zv+A/5f/q/+8/8z/3v/yAAkAIgA9AFgAcQCIAKAAuADSAO0BCQEkAT0BUgFmAXkBjwGpAcgB6wIOAi8CSwJfAm4CeQKFApYCrQLKAuoDCAMgAy8DNAMyAy0DKQMoAy4DPgNaA4YDwwQRBGkEwgUQBUgFZAVlBVQFPQUuBSwFOwVWBXYFlQWwBccF3gX2BhAGKQZABlMGYAZrBngGigahBrwG2Qb1Bw8HKQdCB10HeAeRB6UHsQe1B7MHrwerB6sHrwe3B8AHyAfOB80Hxge2B5wHfAdYBzcHIAcXBx4HMgdNB2gHfQeHB4YHegdoB1AHOAchBxAHBQcCBwYHDAcSBxQHFAcUBxgHJAc2B0wHYAdsB2wHYwdTB0QHOQc1BzYHOgc+B0EHQAc9BzkHNAcsByIHFgcLBwIG/wcCBwoHFgcjBzAHOwdGB1IHYAdwB4IHlAehB6oHrAerB6kHqgeyB8AH0gflB/QH/QgBCAMIBggNCBoIKQg4CEYIUQhbCGUIcgiCCJQIpgi3CMcI1QjjCPAI/AkFCQsJDAkKCQYJAwkBCP4I+gjzCOYI0wi5CJcIbQg8CAEHugdeBucGTgWTBMED7gM4AsACnQLXA2IEIgTzBbQGUQbBBwoHOgddB3gHkAehB6wHsQe0B7cHvgfHB9AH1AfTB80HxwfDB8QHywfXB+QH8wgCCBEIHwgsCDYIOwg8CDsIOQg6CD0IQwhJCE4IUQhVCFkIXwhnCHAIdwh9CIQIjQiaCKwIwAjSCOEI7Qj3CQUJGgk0CVEJawl7CYAJewlzCW4Jbwl3CYQJkQmaCZ0JmgmTCYoJfwlzCWMJUgk/CSwJHAkQCQcJAwkACP4I/Aj4CPMI6wjiCJ4IlQiNCIUIfgh2CHAIbQhtCG8Icgh2CHYIcwhsCGEIVAhFCDQIJAgTCAMH8gfhB9AHvgeuB58HkweLB4YHgweDB4MHhQeJB44HlgefB6gHrwe0B7YHuAe6B78HyAfVB+QH9wgLCCAINQhHCFkIagh9CJUIswjXCP4JJAlGCWAJdAmECZUJqwnFCeIJ/woXCisKPApLClwKcAqGCpoKqgqzCrkKvQrGCtUK6wsECxkLJwsqCyULHAsXCxoLJQs2C0gLVAtaC1sLWQtYC1sLYgtqC3ILeguDC5ALogu7C9cL8wwMDCEMMQxADFAMZAx7DJQMrwzIDN4M8g0CDQ4NFg0cDSENKA0yDT8NTw1gDXENgg2SDaINtA3GDdgN6g37Dg0OHw40DkoOYw57DpMOqg6+Ds8O3g7pDvEO9w79DwMPCg8SDxcPGQ8WDxAPCg8GDwYPCQ8PDxQPGA8bDx4PIQ8lDykPLQ8vDy8PLw8vDy8PLg8qDyQPGg8QDwcPAQ79DvkO8g7mDtYOxQ61DqgOnw6XDo8Ohg58DnMOag5fDlIOQQ4sDhYOBA36DfgN/g4IDhAOFA4UDhMOEQ4PDg4OCg4CDfYN6A3bDdINzQ3LDcwNzA3KDcgNxA3ADboNsQ2nDZsNjw2GDX8New14DXUNcw1xDW8Nbw1vDW8Nbw1uDW8NcA1yDXINbw1nDVsNTA0/DTINJA0TDPwM4QzIDLcMtAzBDNoM9Q0JDRENDQ0BDPcM8wz3DQANCA0NDQoNAAzxDN0MxQypDIoMawxPDDoMLAwkDB0MFAwIC/kL6gvcC88LwAurC5ALcgtWC0ALMwssCyYLGgsFCucKxAqgCoAKYgpBChkJ5gmoCWIJGgjUCJAITwgOB80HjgdWBygHCAb1BukG3gbPBrgGnQaABmcGVwZPBk0GSwZDBjIGFQXvBcQFmwV3BVoFQwUvBRkE/wThBMEEoASBBGQESgQxBBkEAQPoA88DtgOdA4IDZgNJAysDDALqAscCoQJ6AlICKwIHAeUBxAGjAX8BWAEvAQYA3wC5AJUAcABKACP//P/Z/7z/pf+S/4D/bP9T/zb/Fv70/tL+sP6P/m3+TP4r/gz97v3S/bf9nv2F/Wz9U/05/R79Avzj/MP8o/yF/Gn8T/w1/Br7+/vb+7n7mPt5+1z7Qfsl+wf65/rF+qL6gPpf+kD6I/oG+er50Pm4+aH5ivly+Vf5Ovkb+P744/jL+Lb4ofiL+HL4WPg/+Cb4Eff99+r31vfC96z3l/eD93D3XfdL9zf3JPcR9v727fbc9sz2u/aq9pr2i/Z+9nH2Y/ZT9kH2LvYb9gr1+/Xu9eH11PXI9bz1sfWo9Z/1l/WO9YT1e/Vz9Wz1ZvVh9Vv1VfVO9Uj1Q/VA9T71O/U59Tb1NfU09TX1NvU39Tf1OPU49Tr1PfVB9UT1RvVG9UX1RPVD9UP1Q/VC9UH1QfVB9UX1S/VU9V71Z/Vv9XT1dfVz9W71avVq9XL1gvWb9bj10/Xp9fn2A/YM9hb2IvYu9jb2OPY29jT2NvY/9lD2Y/Zx9nj2dvZv9mn2aPZv9nz2ivaV9pj2lPaI9nb2YvZQ9kT2RPZN9l/2cPZ79nn2a/ZV9j32LPYg9hn2EfYG9fn17vXp9en16fXk9db1wfWw9an1rfWu9Zn1WfTp9F3z2POG84fz3fRp9Pv1YPV69Uz08fSU9FT0PvRI9Fn0XfRI9B/z7fPA853zgPNg8zjzBvLT8qfyiPJ28mryXfJJ8i7yEfH18d/xzvG+8a3xmPGC8W3xWvFK8TvxK/EZ8QXw8fDf8M/wwPCx8KHwkfCC8HXwbPBl8F/wV/BO8ETwPfA48DbwN/A28DPwLfAl8B/wHPAf8CXwLfAy8DTwMvAt8CjwI/Ag8B3wGfAT8AvwBO//7/3v/vAC8AfwCvAM8A3wDfAQ8BTwG/Aj8CzwNfA+8EfwUPBX8FzwXvBe8FzwWvBa8FzwYPBl8GrwcPB38H7whvCQ8JrwpvCz8MDwz/Dg8PHxA/EV8SfxOPFJ8VrxavF58YXxj/GU8ZfxmvGe8aXxsfHB8dXx6vH+8hDyIfIx8kLyVPJo8n3ykfKl8rbyxfLU8uLy8PMA8xHzIvMy80HzT/Nc82rzePOI85rzrPO/89Pz5vP59Av0G/Qp9DX0P/RI9FH0XPRp9Hn0ifSa9Kv0u/TK9Nr06vT69Qn1F/Uj9S71OPVB9Ur1U/Vd9Wb1bvV29X31hPWM9ZP1m/Wi9ar1sfW59cD1x/XP9db13vXn9fD1+fYA9gX2B/YH9gX2BfYH9gz2EvYX9hv2HPYc9hr2GPYX9hf2F/YX9hf2GfYg9iv2PPZS9mj2fvaR9qL2sfbA9s/23vbt9vv3B/cS9xz3Jvcv9zf3PvdE90f3SvdN91D3Vfda91/3Y/dm92r3b/d29373iPeS95v3pPet97f3wvfN99j34vfr9/L3+ff/+Ab4C/gP+BL4FPgX+Br4IPgo+DL4PvhL+Fj4Zvhz+H74iPiO+JH4kviS+JT4mvii+K34t/i++ML4wvi/+Lv4t/iz+K/4rPip+Kj4p/ip+Kv4rPit+K34rviw+Lb4wPjO+N347Pj4+QD5BPkE+QD4+vjy+Ov45vjl+Of47fj2+P/5B/kO+RT5G/ki+Sz5NvlC+U35WPli+Wv5c/l6+YD5hPmI+Y75lPmc+aT5rPmy+bb5uPm4+bn5u/m/+cX5zfnX+eT59PoH+hv6L/pD+lX6Zvp2+ob6lfqk+rH6vfrF+sv60PrU+tr64vrr+vf7A/sO+xf7Hvsj+yf7K/sx+zn7Q/tQ+177a/t2+4D7ifuS+537qfu3+8T70fvd++j79PwD/BX8K/xB/Ff8aPx0/Hr8fPx9/IH8iPyV/Kb8ufzN/OH89P0I/Rv9Lf0//U/9XP1o/XP9fv2I/ZT9of2w/cL92f31/hX+OP5c/n7+nf63/sz+3v7u/v7/Ef8n/z7/V/9u/4L/kv+h/6//v//U/+0ACgAnAEMAXAByAIgAnwC4ANMA7wELASUBPAFRAWYBfQGXAbUB1QH4AhoCOwJXAnAChAKXAqsCwgLfAwADJANHA2gDggOXA6YDsAO1A7cDtQOzA7YDxgPmBBoEXQSoBO4FJQVHBVQFUQVIBUMFRwVVBW0FiQWpBckF6AYIBicGRAZdBnIGhAaWBqoGwQbbBvYHEAcnBzwHUAdlB3wHlQetB8AHzAfPB8sHwQe2B60HqQerB7EHuwfFB80HzQfGB7UHnQeDB2sHWwdWB1sHZwd1B4IHiQeKB4cHgQd6B3IHagdjB1sHVQdPB0sHRwdDBz8HPgdAB0gHVAdjB3EHewd9B3kHbwdlB14HWwdcB2AHZAdnB2gHZwdkB18HVwdOB0IHNgcrByMHHgceByAHJQcsBzIHOgdBB0kHUwdgB28HgAeRB6EHrQe1B7sHwAfHB9EH3QfpB/QH+wgBCAcIEAgcCCsIOghGCFAIVwhgCGwIfQiPCKEIsAi7CMYI0gjiCPcJDwkkCTIJOAk2CS8JJgkdCRQJCwkBCPMI4gjNCLEIjghgCCYH4QeMByYGqQYTBWYEqwP5A2kDFwMUA2QD9wSxBW8GFwaYBvAHKAdMB2cHfQePB50HpAeoB60HtQfAB8wH0wfUB80Hwge3B7EHswe7B8gH1gfkB/MIAQgPCBwIJggsCC8IMAgyCDcIPghGCEwITwhOCEwITAhPCFYIYAhqCHUIfwiKCJcIpQizCMAIzQjaCOsJAQkcCTcJTglcCV4JVglLCUMJRQlPCWAJcAl6CXoJcQlgCU4JPAktCR8JEgkFCPgI7AjjCN0I2wjaCNgI0wjMCMEItQipCGwIZwhkCGIIYAhdCFoIVghSCE4ISQhECD0INgguCCUIGwgRCAQH9gfoB9gHyAe3B6gHmgePB4gHhgeIB40HkgeTB5EHjQeJB4YHhweMB5IHlwebB54HoQemB64HuAfGB9QH4wfyCAMIFggqCD8IVQhsCIYIowjECOYJBgkhCTYJRQlUCWcJgQmiCcYJ5woDChYKJAoxCkEKVQprCn8KjAqSCpQKlwqhCrYK0QrrCv0LAQr5CukK3ArbCucK/gsYCy0LOAs6CzYLNAs4C0ILTwtbC2QLaAttC3gLiwumC8YL5gwADBMMIQwtDDwMUAxpDIUMnwy2DMgM1gzgDOgM7gz1DP4NCA0VDSQNNA1EDVQNZQ11DYYNlw2nDbUNwg3PDd4N7w4DDhoOMw5LDmIOdg6JDpkOpw60Dr8OyA7QDtgO4Q7pDu8O8g7xDu0O5w7jDuAO4Q7jDuYO6Q7sDu8O9A76Dv8PBA8GDwgPCQ8LDwwPDA8IDwIO+A7uDuUO3g7ZDtQOyg68DqwOmw6MDoMOfA52Dm4OZA5WDkgOOg4tDh8OEQ4BDfEN5A3eDd4N5Q3tDfQN9w31DfIN7w3tDe0N6w3mDd0N0Q3EDbsNtQ2zDbMNsw2yDa8Nqw2mDZ8Nlg2MDYINeg10DXANbw1tDWoNZQ1eDVgNVA1SDVMNVQ1XDVYNUA1EDTENFwz6DN4Mxwy2DKwMogyUDH4MXww/DCYMGwwjDDsMWgx2DIgMjgyKDIIMfAx6DHwMfwyADH4Megx0DGwMYQxTDEAMKwwXDAgL/wv7C/sL+AvyC+gL3AvOC8ALrwubC4ELZAtHCy8LIAsZCxQLDAr7CuEKvwqbCnkKWwpBCiUKBAncCasJdQk7CP0IvAh2CCoH3AeQB0wHFAbrBs4GuQalBo8GdgZdBkgGPAY5BjwGPwY7BioGCgXeBa0FfgVXBToFJAUSBP8E5gTIBKYEgwRiBEUELAQWBAID7gPaA8UDrwOXA3sDXQM+Ax4C/gLeAr4CmwJ2Ak4CJwICAd4BvAGYAXIBRwEaAOsAvwCVAHAATAAqAAj/5//I/67/mP+F/3P/X/9G/yn/Cf7m/sT+o/6C/mL+Qv4j/gX96f3O/bT9mv2A/Wb9S/0w/RT8+Pza/Lz8nvyC/Gf8Tfwz/Bb79/vV+7P7kftz+1f7Pfsi+wX65frC+p/6ffpd+j/6IvoG+er5z/m2+Z75hvlt+VP5NvkZ+Pz44fjK+LT4n/iI+G/4VPg6+CL4Dff69+f31Pe+96j3kvd892n3VvdE9zD3G/cH9vP24PbO9r72rfac9oz2ffZu9mH2U/ZF9jX2JPYS9gH18PXh9dL1xPW39av1oPWW9Y31hPV79XD1ZfVa9U/1RvU+9Tf1MvUt9Sn1J/Uk9SL1H/Uc9Rj1FvUV9RX1FfUW9RX1FfUV9RX1GPUa9R31H/Uf9R/1HvUd9Rz1HfUe9R71HvUf9SH1JPUr9TT1PvVJ9VH1VPVS9Uv1Q/U/9UP1UfVp9Yb1ofW49cj10vXa9eT17/X69gL2BvYE9gL2AvYK9hj2KfY59kT2RvZE9j/2PPY+9kX2T/Za9mL2ZfZi9lf2SPY39iv2J/Yu9j32T/Zc9l32UvY/9in2FvYI9fz18fXk9df1zfXH9cb1w/W79av1mPWK9Yj1j/WQ9Xb1L/S49Cfzo/NX82DzvvRR9Of1TPVm9Tb02fR69Dj0HvQj9C70KPQJ89XznPNt807zOPMi8wDy0/Kf8nHyT/I88jLyKPIX8f3x3PG78aDxjPF98XHxYvFS8UDxLfEa8Qbw8PDY8L7wpPCN8HrwafBb8E/wQ/A68DLwLPAm8B7wFPAJ7//v+O/27/jv++/87/jv7+/k79rv1u/X793v5O/p7+nv5u/g79vv2e/X79bv0+/O78jvwu+/777vwO/C78TvxO/D78Pvxu/L79Lv2u/i7+rv8e/58ALwC/AT8BnwHfAf8CDwIfAi8CXwKPAs8DHwNvA88EPwS/BU8F3wZvBw8HzwivCc8LDwxfDZ8Ovw/PEL8RrxKvE58UjxVPFd8WTxavFw8XnxhfGU8aXxt/HJ8dnx6vH68gvyH/Iz8knyXvJz8obylvKl8rPywfLQ8t/y7/L+8wzzGvMo8zfzSPNa823zgfOT86XztfPF89bz5/P39Ab0FPQf9Cn0MvQ+9Er0WfRp9Hj0iPSW9KX0tPTE9NP04vTw9Pz1B/US9R31KPUz9T31R/VQ9Vj1XvVk9Wv1cfV39X71hfWO9Zb1nvWm9az1sfW29bv1wPXG9cv10PXS9dT11/Xa9d/15fXq9e718PXw9fD18PXx9fL18/Xz9fL18vXz9fn2AvYO9hv2J/Yy9jv2RfZQ9l72bvZ/9pD2oPav9r72zvbd9uv2+PcC9wn3D/cV9xz3JPcr9zH3Nvc59zz3QPdG9073V/dg92n3cvd894f3kved96f3sPe498D3yvfU99/36vfy9/j3/Pf/+AT4C/gT+Bz4JPgr+DH4Nvg8+EL4SPhN+E/4UPhQ+FP4Wvhm+HX4hviW+KT4rfi0+Lf4t/i0+K74p/ie+Jf4lPiT+JX4l/iY+Jb4kfiL+If4hfiH+Iz4kviX+Jz4ofim+Kz4tPi++Mf4z/jU+Nb41fjQ+Mn4wvi8+Ln4ufi++Mb40vjg+O/4/vkO+R35K/k3+UH5SvlR+Vn5Yflq+XP5evmA+YT5hvmJ+Yv5jvmS+Zf5nfmn+bX5x/nc+fL6B/oa+ir6OPpH+lj6a/p/+pH6oPqo+qz6rfqu+rH6t/rB+s762/rn+vH6+fr/+wP7B/sO+xb7Ifsu+z37S/ta+2j7dvuG+5b7qPu5+8f70fvX+9v74Pvq+/n8Dvwo/ET8Xfxy/IL8jfyV/Jv8o/yr/Lb8wvzR/OD88f0C/RP9I/0z/UP9Uv1i/XH9f/2L/Zf9ov2v/b/90/3s/gn+J/5G/mT+gP6a/rL+yP7e/vP/CP8d/zH/Rf9Y/2n/eP+G/5X/qP++/9n/9wAUADAASABdAHEAhQCcALYA0gDuAQoBJQE+AVYBbwGIAaMBwAHgAgICJgJMAnACkQKuAsgC4QL7AxgDOgNfA4UDqwPQA/MEEwQtBD8ERwREBDsEMgQ1BEgEcASqBOsFKAVYBXMFfQV5BXMFcQV4BYkFogW+BdsF9wYSBi0GSAZkBoAGnQa7BtgG9QcQBykHPgdQB2AHbgd9B40HnQetB7oHxAfIB8kHxwfEB8AHvge+B78HwgfEB8QHwge8B7QHqQefB5gHlAeUB5UHlgeVB5AHiQeCB3wHeAd4B3oHfQeAB4EHgAd8B3cHcAdqB2UHZQdqB3QHgQeNB5YHmQeYB5MHjQeLB4sHjgeTB5YHlweVB5IHjQeHB4EHeQdvB2YHXAdUB04HSQdEB0AHPQc7BzsHPQdCB0kHUQdcB2gHdweIB5gHpgexB7kHvgfDB8oH0gfdB+kH9QgCCBAIHwguCDwIRghMCFEIVghgCHEIhQibCK0IuQjBCMkI1QjoCQEJHAkzCUIJSQlKCUYJQQk5CS0JHAkFCO4I2wjNCMMItAiZCGsIJwfSB20G/QZ/BfIFVASvBBYDowNvA4kD7gSKBT0F5wZxBtEHDAcxB0wHZweBB5cHpwevB7MHtge8B8QHygfJB8EHswekB5kHlQeZB6IHrge7B8gH1gflB/QIAQgJCAwIDAgNCBEIGQgjCCsILggtCCgIJAglCCwIOAhGCFEIWQhdCGAIZQhtCHkIiQidCLUIzwjqCQQJFwkhCSAJFgkKCQIJAwkOCR8JLwk2CTMJJAkPCPoI6QjfCNsI2gjZCNYI0QjLCMYIwgi9CLUIqwieCI8IgAh0CEUIQwhDCEEIPwg8CDkINAguCCUIGggLB/wH7QfgB9UHzQfGB74HtgesB6IHlweMB4IHewd3B3gHgAeLB5cHoAejB54HlAeIB38HfAd9B4MHiQePB5QHmQegB6kHtQfBB80H2AfkB/MIBQgcCDUIUAhsCIkIpwjFCOII+wkNCRoJIwkuCUAJXQmDCa0J0wnvCgEKCwoTCiAKMgpIClsKaAptCm0KcQp+CpcKtgrSCuMK4wrVCsEKswq0CsUK4Ar9CxILHAscCxoLHAsnCzgLSQtWC1sLWwtcC2QLeAuWC7gL2QvyDAQMDwwbDCoMQAxbDHcMkAykDLMMvAzCDMgMzgzVDN8M6wz4DQcNFw0nDTcNSQ1ZDWoNeQ2HDZINmw2kDbANvw3SDekOAg4aDjAORA5VDmUOdA6BDowOlg6fDqgOsg67DsQOyg7MDswOyQ7FDsIOwA6/Dr4Ovg6/DsEOxQ7LDtEO1g7ZDtsO3Q7fDuEO4g7hDtwO1Q7NDsUOvg63Dq8OpA6VDoUOdg5qDmMOXg5YDk8OQQ4wDh0OCg38DfAN5g3dDdUNzw3MDc0Nzw3TDdQN1A3RDc4NzQ3NDc4NzQ3IDb8NtA2oDaANmw2ZDZkNmg2ZDZYNkg2LDYQNew1yDWkNYg1eDV0NXQ1bDVcNUA1HDT8NOQ02DTYNNw01DS4NHg0FDOQMvgyYDHkMZAxbDFwMXwxdDE8MNgwUC/UL4QvdC+kMAAwXDCgMLQwoDB0MEQwHDAAL/Av5C/cL9gv2C/cL+Av2C/EL6AveC9UL0QvQC9IL0wvTC9ALzQvJC8QLvAusC5QLdAtQCy4LFQsGCv8K+QrwCt0KvwqcCnYKUgo0ChkJ/gniCcEJmwlvCT4JBgjGCHwIKwfXB4UHPAb/Bs8GqQaJBmsGTgYyBhwGDwYMBhEGGAYXBgkF6wXBBZAFYQU6BR4FCQT5BOcE0AS0BJQEcgRTBDYEGwQEA+0D2APEA7ADmwODA2cDSAMmAwMC4QLAAqACfwJcAjgCFAHxAc8BrgGKAWMBNgEGANUApgB7AFYANgAY//v/3v/B/6f/j/94/2L/S/8x/xT+9P7T/rL+kf5x/lL+M/4W/fr94P3G/az9kf11/Vj9O/0f/QP85/zL/K78kvx3/F78Rvwt/BL79PvT+6/7jPts+077M/sY+v363/q/+p/6gPpi+kX6KfoL+e750Pmz+Zj5f/ll+Ur5L/kS+Pf43vjH+LL4nfiH+G34U/g4+B/4Cff19+H3zfe295/3iPdz91/3Tfc79yf3Efb69uT2z/a99qz2nPaN9n32bfZd9k32PvYv9h/2EPYA9fD14PXQ9b/1rvWe9Y/1gvV49XD1afVh9Vj1TfVB9TX1KfUe9Rb1EPUM9Qn1BvUE9QL0/vT79Pf09PTz9PL08vTy9PH08fTw9PD08PTx9PL08/Tz9PL08fTw9PH08/T29Pj0+vT79Pv0/fUA9Qb1D/UZ9SP1KPUn9SH1GPUS9RT1IPU19VD1avWA9Y71mPWf9ab1sfW89cX1y/XN9c31zvXT9d717PX89gj2EPYS9hH2D/YN9g72E/Yc9if2MvY59jj2MPYi9hT2DPYN9hj2JvYy9jb2L/Yg9gz1+fXn9dj1yPW69a31pfWi9aH1nvWU9YL1bvVi9WL1bPVv9Vf1EPSZ9AbzffMp8yrzgPQR9Kv1G/VF9ST01PR49DH0DvQF9APz9PPN85TzVvMh8v7y6PLV8rvyl/Js8kTyJfIT8gjx/fHs8dHxr/GM8W7xWPFJ8T3xMfEj8RLw/vDp8NHwt/Ca8H3wYfBJ8DbwJvAa8A/wBu/97/bv7+/n793v0u/G77zvt++377vvwO/D78Dvue+v76bvoe+h76Pvpu+n76Tvn++a75fvlu+W75bvk++P74vviO+H74jvie+J74fvhe+C74Pvh++O75Xvne+i76fvq++x77nvwe/K79Hv1u/b79/v5O/q7/Hv9u/67/3wAfAG8A7wF/Ag8CjwL/A28D/wS/Bb8G/wg/CX8KnwufDI8Nfw5/D48QnxGPEm8TLxPfFJ8VXxYfFv8XzxifGV8aLxsfHB8dPx5vH78hDyJvI78lDyY/J08oTyk/Kj8rLywfLQ8t7y7PL58wjzGfMs8z/zU/Nm83bzhPOR85/zrvO+88/z3vPt8/n0BfQR9B70LPQ89Ev0WvRo9HX0g/SS9KD0rvS79Mf00vTd9Oj09fUD9RD1HfUo9TH1OPU+9UP1SPVN9VP1W/Vk9W71dvV+9YP1hfWH9Yj1ivWN9ZD1lPWY9Zz1oPWm9az1tPW69cD1xPXG9cf1yfXM9c/10/XV9df12PXa9d314fXm9en17PXt9e/18vX59gP2EPYe9i32O/ZK9ln2afZ69or2mPak9q/2ufbE9tH24Pbu9vz3B/cQ9xj3H/cm9y33M/c49z33Q/dJ91H3W/dl9273dfd894T3j/eb96r3uPfF99D32Pfg9+r39Pf/+An4D/gR+BD4DvgN+A74EvgW+Br4Hfgf+CP4Kvg0+EH4UPhg+G34efiD+Iv4kfiT+JH4jPiF+H/4e/h7+H74gviF+Ib4hPh/+Hr4dfhw+Gv4Zvhf+Fr4V/ha+GX4dviM+KT4ufjH+M74y/jB+LP4o/iU+Ij4gfh++IH4h/iR+J74rvjA+NL44/jy+P75B/kP+Rj5Ivku+Tr5RvlP+Vf5Xvlk+Wn5bflw+XP5dfl7+Yb5l/mt+cX52/nv+f76CvoY+if6O/pQ+mP6c/p8+oH6gvqD+oj6kPqc+qr6tvrC+sv60vrZ+uD66fry+v37CfsW+yT7NPtE+1b7aft++5T7qPu5+8T7yvvK+8j7x/vM+9j77PwG/CP8QPxa/HL8hfyV/KP8rfy2/L38xPzL/NX84fzw/P/9D/0g/TD9Qv1U/Wb9d/2G/ZT9n/2r/bn9y/3g/fj+Ev4s/kf+Yf58/pj+tP7Q/un/AP8U/yX/NP9D/1H/X/9u/4D/lf+u/8r/6AAEAB0AMgBFAFUAZwB9AJUAsADNAOsBBwEjAT4BWAFxAYsBpQHDAeUCDAI3AmQCkAK3AtsC+gMYAzcDWAN7A58DwwPnBAsEMQRXBHoElQSnBK8EsQSzBL8E2QUBBTIFYgWKBaMFrQWvBa4FsQW9BdAF5wX8Bg8GHQYrBjsGUAZtBpAGtgbcBv4HGwczB0cHVwdlB3IHfweLB5YHoQeqB7IHuQfBB8kH0QfZB98H4wflB+MH3gfXB80Hwwe6B7IHrgetB68Hsge1B7UHsQeqB6AHlQeKB4EHewd3B3YHdgd4B3sHfQd+B3wHeQd1B3IHcwd5B4MHkAebB6QHqQerB60Hrwe0B7oHvgfAB70HuAexB6oHpAefB5sHlQePB4oHhQeBB34HeQdzB2wHYwdcB1kHWgdfB2cHcQd8B4gHlQehB6wHtAe5B7sHvAe9B8IHywfYB+gH+ggNCCEIMwhBCEsIUAhRCFIIVwhjCHYIjQijCLMIvgjFCM0I3AjzCQ0JJAk0CTsJPQk/CUUJTglUCVEJQAkiCQEI5wjaCNkI2gjOCKsIbQgZB7kHVAbrBncF8AVVBLIEIAO/A6oD5wRrBRYFwwZVBrsG+QceBzoHWAd6B5sHswe/B8AHvAe6B7sHvge+B7cHqwebB40HhAeCB4YHjQeUB5wHpgezB78HyQfNB8oHwge5B7UHtwfAB8sH0wfVB9QH0QfSB9kH5QfxB/sH/gf7B/cH9gf7CAkIHwg5CFcIdAiQCKgIuQjCCMEIugiwCKkIqgiyCMAIzAjRCMsIugilCJEIhAiBCIcIkAiZCJ4IngibCJUIjgiGCHwIcAhkCFgITghICBwIHQgaCBUIDggICAEH/Af1B+sH3QfLB7YHoweTB4cHgAd7B3gHdAdwB2sHZQdgB1sHWAdZB18Hawd7B4wHmQeeB5oHkAeEB3kHdAd1B3oHgQeHB44HlQedB6gHtQfCB88H2gfmB/UIBwgeCDkIVghzCJEIsAjOCOkI/wkNCRMJFQkaCSgJQglnCZAJtQnQCeAJ5wntCfgKCgogCjQKQQpFCkUKSQpYCnMKlQq2CskKywq/CqwKnwqgCrAKygrkCvgLAgsECwcLDwseCzELQQtKC0wLSQtJC1MLaQuJC6wLywvhC/AL+gwFDBYMLQxHDGIMeAyJDJQMnQykDKsMswy8DMYM0QzeDOwM+w0MDRwNLA07DUkNVQ1fDWgNbw13DYINkA2iDbcNzw3mDf0OEQ4kDjUORA5RDlwOZg5uDncOgQ6MDpYOng6iDqMOog6fDpwOmg6YDpgOmA6ZDpwOoA6lDqkOrQ6uDq8Org6uDq8OsA6wDq4Oqg6lDp4Olw6ODoQOdw5oDlkOSw5ADjgOMg4sDiMOFQ4EDfIN4g3VDcwNxw3EDcINvw29DbwNug23DbUNsg2wDa8NsQ2yDbINrw2nDZwNkA2GDX8NfA19DX8NgA2ADXwNdw1wDWgNXw1WDU4NSA1FDUQNRA1CDT0NNg0tDSUNHg0aDRcNFA0MDP4M5wzKDKcMggxhDEkMPgw/DEoMWAxiDGEMUgw5DBwMBQv4C/gMAAwLDBAMDQwCC/AL3gvNC8ALtguuC6gLowuhC6ILpguqC68Lsgu0C7ULtQu3C7gLuQu7C70LwgvKC9IL1gvRC8ALoQt5C1ALLAsTCwUK/Qr0CuQKyQqlCnsKUQorCgoJ7gnUCbkJnAl6CVQJJgjwCLAIZggVB8IHdActBvEGvwaTBmoGQwYeBf8F6QXdBdsF3QXcBdIFugWYBXAFRwUlBQkE9QTjBNAEuwShBIYEagROBDMEFwP6A90DwAOmA40DdgNfA0UDJwMGAuMCwAKdAnwCWwI6AhkB+AHXAbcBlwFzAUwBIADvAL8AkABnAEMAJQAJ/+//0/+4/5z/gv9o/0//Nf8Z/vz+3f6+/p3+ff5c/jz+Hf3//eX9zP20/Zz9gv1m/Ur9Lf0Q/PX82fy9/KH8hfxp/FD8OPwh/Af76/vL+6f7g/th+0H7JfsL+vH61fq4+pv6ffpg+kT6J/oK+ev5zfmv+ZL5d/lc+UH5JPkI+O741fi/+Kv4l/iA+Gf4S/gw+BX3/vfo99T3v/ep95L3e/dm91P3Qfcu9xr3A/br9tP2vPap9pj2ifZ89m32XvZN9jz2KvYY9gf19/Xn9dj1yfW49af1lPWB9XD1YfVW9U71SPVC9Tv1MvUo9Rv1D/UE9Pr08vTr9Ob04fTd9Nr01/TU9NL00PTO9Mz0y/TK9Mj0x/TG9Mb0xfTF9MX0xfTF9MT0w/TC9ML0xPTG9Mr0zfTP9ND00fTT9Nb03fTm9O709PT19PD06vTl9Ob08PUD9Rr1MvVH9VX1XvVk9Wv1c/V99Yf1kPWV9Zn1nPWg9af1sfW+9cr11fXd9eD14PXe9dz13fXk9fH2APYO9hb2FPYJ9fr17vXp9e319/YC9gj2BvX89ez12fXG9bL1n/WN9YD1evV69X31ffV09WH1S/U79Tn1QvVK9Tn0/fSQ9AHzcvMN8vTzL/Or9D70uPT39PL0t/Rm9Bzz7PPU88jztvOS817zI/Ls8sHyo/KM8nTyWPI58hvyA/Hy8ebx2fHG8avxifFm8UfxLPEY8Qfw+PDo8NfwxPCv8JjwffBg8EPwKPAR7//v8e/l79vv0O/F77rvsO+l75rvj++F733vee96737vgu+F74TvgO9773Xvcu9y73HvcO9s72fvYu9d71vvWu9a71jvVe9S70/vT+9R71TvVe9U71DvTO9J70rvTu9V71zvYe9k72fva+9x73rvhO+M75Lvlu+a76Dvp++x77vvxO/J783v0O/W797v6O/z7/3wBPAJ8A/wGPAj8DLwQ/BV8Gbwd/CI8JrwrfDA8NLw4/Dx8P7xC/EZ8SfxNfFC8U7xWfFj8W/xffGN8Z7xsfHE8dbx6vH/8hXyKvI/8lLyZPJ18obyl/Kn8rbyxPLR8t7y7PL98w7zIfMy80LzUPNc82jzdvOF85XzpfO088Pz0fPf8+7z/vQP9B/0LvQ89En0VvRj9HH0fvSK9JT0n/Sp9LT0wfTP9N707fT69QX1DfUU9Rr1IPUl9Sr1MPU39T71RfVL9VD1UvVU9VT1VfVX9Vn1XPVe9WL1ZvVs9XP1fPWF9Y31k/WX9Zv1nvWh9ab1q/Wx9bb1u/XA9cT1yPXK9cv1yvXJ9cj1yfXN9dP12vXh9en18PX39gH2C/YY9iT2LvY49kH2TPZZ9mv2f/aV9qv2wPbT9uP28fb99wb3DPcQ9xH3E/cW9xz3Jfcu9zj3QPdI90/3Wfdk93H3fveL95b3ofes97n3x/fX9+T37ffw9/D37ffq9+j36ffs9+/38ff09/j3//gH+BH4HPgm+DD4OPhB+Er4U/ha+F74X/hd+Fn4V/hW+Fj4W/hf+GL4ZPhl+Gf4Z/hl+GH4V/hK+Dz4MPgr+C34OPhK+GD4dPiF+JD4lPiT+I34h/iA+Hr4dfhy+HD4cPhz+Hr4hviU+KP4sPi7+MH4xvjK+ND42vjo+Pn5Cvkb+Sr5N/lD+U75Vvlb+V35Xvlg+Wf5dPmH+Z75tfnJ+dj55fnx+f/6EPoi+jP6QfpK+k/6UvpX+mD6bPp7+on6lvqf+qf6r/q4+sP6z/rc+un69fsA+w37Hfsx+0j7ZPuB+537tvvH+9D70fvN+8b7wvvE+8z73Pvw/Ab8Hfwz/En8Xvxz/If8mPym/K/8tfy7/ML8zfza/On8+/0N/R/9Mv1F/Vj9av16/Yj9k/2e/av9uv3M/eH99/4O/if+Qf5e/nz+nf68/tn+8f8F/xT/If8t/zn/R/9Y/2z/g/+e/7r/1v/vAAUAFwAmADUARwBcAHYAkwCxAM8A7gEKASYBQQFaAXMBjQGpAckB7wIaAkgCdgKkAs8C+AMhA0oDcgOYA7wD2gP2BBEEMARTBHoEoQTFBOME+gUNBSEFOQVXBXkFmgW0BccF0gXbBeUF9gYMBiUGPAZLBlMGVAZUBloGagaFBqkG0Qb3BxgHMgdGB1YHZAdxB38HjQeZB6MHqwezB7oHwgfLB9YH4QfqB/IH9gf2B/MH7QflB9sH0QfIB8EHvQe7B7sHuwe8B7wHuwe5B7YHsgerB6EHlgeJB34HdQdyB3MHdwd8B4AHgAd+B30HfQeBB4kHlAefB6sHtgfBB8wH1wfiB+gH6gflB9wH0gfIB8IHvwe+B7wHuAezB60HqAekB58HmweVB40HhQd+B3sHfAeCB4oHlAefB6sHtgfAB8cHygfJB8YHxAfFB8sH1wfoB/sIDwgiCDQIRQhRCFgIWwhcCF4IZQhzCIcInAivCLwIwwjKCNYI6wkGCSEJNAk8CTkJMwkzCT4JUQlmCW4JYwlFCR8I/QjqCOYI5gjdCL4Ihgg9B+0HoQdVBv0GiQXxBT4EjAQAA8AD3QRQBPkFrwZMBrwG/wckBz4HWwd+B6EHuwfHB8UHvQe1B7QHtwe7B7sHtAeoB5wHkwePB44HjgeOB48HkgeXB54HogefB5EHewdjB1AHSAdLB1YHYwdsB3AHcAdxB3QHfAeFB4sHjQeJB4UHhQeMB5wHtAfPB+oIBAgbCC4IPQhGCEgIRghBCD0IPwhHCFIIXQhgCFsITAg4CCYIGwgaCCEILQg4CD8IQgg/CDoINAguCCcIIQgcCBoIGQgaB+QH5QfhB9kHzwfFB74HuAeyB6oHngeOB3sHaAdYB0wHRQdBBz4HOwc5BzcHNAcyBzEHMQc1Bz0HSgdcB28HfweJB4oHhQd8B3QHbwdvB3IHeAd+B4UHjgeZB6cHuAfJB9kH6Af2CAUIFggrCEMIXQh4CJUItAjTCPAJBwkWCRsJHAkcCSQJNwlUCXYJlgmvCb4JxwnQCd0J8QoHChoKJQonCiYKKQo3ClIKdAqVCqsKsAqoCpoKkAqSCqAKtwrQCuMK7gr0CvsLBAsSCyILLQsyCzMLMws5C0oLZQuGC6YLvwvQC9oL4gvuC/8MFgwuDEQMVQxiDG0MdwyBDI0MmAykDK4MuQzGDNQM5Az0DQMNEA0bDSUNLQ01DT0NRQ1ODVkNZQ11DYcNnA2xDccN3A3vDgEOEQ4fDisONQ4/DkkOVA5fDmoOcQ51DnUOcg5vDmwObA5uDnEOdQ55Dn4Ogg6HDooOjA6MDooOhw6FDoMOgw6DDoEOfg55DnEOaA5eDlIORQ43DigOGQ4MDgEN+A3vDeYN3A3RDccNvg23DbINsA2vDa8NrQ2rDacNog2eDZoNmA2YDZoNnA2dDZoNkg2HDXsNbw1mDWINYg1lDWcNaA1nDWQNXg1XDU8NRg0+DTYNMQ0tDSwNKQ0mDSANFw0PDQcNAQz7DPUM7QzfDM0MtgydDIQMbAxZDEwMSAxODFsMawx7DIQMgwx4DGcMVQxGDD4MOQw1DC0MHwwLC/QL3QvKC7sLrwukC5gLjAuBC3sLegt/C4kLlgukC7ALuAu+C8ALwQvCC8ULzAvYC+UL8AvyC+gL0QuuC4YLYQtCCysLGwsMCvgK2wq1CooKXQozCg8J8AnWCb0JowmGCWUJPQkNCNQIkQhHB/kHqwdjByMG6ga3BocGWAYpBf8F3AXCBbMFqgWiBZcFhQVrBU0FLgUQBPYE3wTJBLMEnASFBG8EWQRCBCoEDgPtA8kDpQODA2QDSgMyAxoC/wLiAsMCogKBAmECQAIgAgAB4AHAAaABfgFaATIBBgDXAKgAfABTADEAEv/3/9z/wf+m/4z/cv9Y/z//JP8I/uv+zP6u/o7+bf5M/ir+CP3o/cz9s/2b/YX9bv1W/Tz9Iv0I/O781fy6/J78gfxj/Ef8LfwT+/n73Pu8+5n7dvtV+zb7HPsD+ur60Pqz+pX6dvpY+jr6HPn/+eL5xfmo+Yz5cflW+Tr5HPj/+OP4yviz+J/4ivh0+Fr4P/gi+Af37vfY98T3sPec94b3cPdb90f3M/cg9wv29fbd9sX2rvaZ9of2ePZq9lz2TvY+9iz2GvYH9fP14fXQ9cD1sPWh9ZD1fvVs9Vr1SfU79TH1KPUh9Rr1EfUH9Pz08fTn9N301PTK9ML0u/S19LH0r/Su9K30rPSq9Kf0pPSh9J/0nfSc9Jz0m/Sb9Jv0m/Sb9Jv0mfSY9JX0lPSU9Jb0mfSc9J/0ovSl9Kn0rvS19L30wvTE9ML0vfS69Lr0wvTR9Ob0/PUR9SH1LPUz9Tn1P/VG9U71V/Ve9WT1afVu9XP1evWE9Y/1m/Wm9a71svWx9a71rPWx9bz1zfXf9ez18PXp9d31z/XH9cf1zvXY9d/14fXc9dD1wPWs9ZX1ffVn9Vf1T/VR9Vj1XPVX9Uf1L/Ua9RH1F/Uh9Rz09PSd9B3zj/MX8tjy5PM086r0H/Rt9IT0ZvQn8+Lzq/OI83bzZvNO8yny+vLI8pnyc/JT8jjyHvIG8fDx3fHN8b7xrvGZ8X7xX/E+8R7xAPDl8M3wuPCm8JXwhfBz8F7wRvAp8Azv8O/Z78fvuu+v76TvmO+L733vcO9k71nvUO9J70PvQe9B70LvRO9F70PvQe8+7zvvOu847zbvMu8t7yfvIu8f7x7vHe8c7xrvF+8V7xXvGO8d7yHvIu8g7xvvFe8T7xTvGO8e7yTvKO8r7y/vNu9B707vW+9l72nva+9r727vde9+74nvku+Y75zvoO+n77Dvve/J79Xv3u/k7+nv7+/48APwEPAe8C3wP/BR8Gbwe/CP8KDwrvC68MXw0PDe8O7w/vEN8RrxJfEx8T7xTPFc8W3xffGN8Z3xrvHB8dfx7vIF8hvyL/JC8lTyZ/J58ovynPKq8rbywvLP8t3y7fL+8w3zHPMp8zbzQ/NR82Dzb/N+84zzmfOo87fzyPPa8+vz/PQL9Bj0JvQ09EH0T/Rb9Gb0cPR69IX0kfSd9Kr0t/TD9M702PTi9Ov08vT59P71AvUF9Qj1DPUQ9RX1GfUd9SH1I/Um9Sn1K/Ut9S/1M/U39T31RPVN9VX1XPVi9Wb1avVv9XT1evWA9Yf1jvWV9Zv1ofWm9an1rPWv9bL1tfW59b31wfXD9cP1w/XF9cf1zPXS9dn13vXj9ej17/X59gf2GfYu9kT2WvZw9oX2mfar9rv2x/bP9tT22fbg9un29fcC9w/3Gfci9yn3MPc39z/3SPdQ91j3Yfds93n3ifeb96z3uffD98j3yffJ98f3xffD98H3v/e/98L3yffS99z35vfu9/X3/PgD+Av4FPge+Cb4K/gu+C74Lfgs+Cv4K/gs+C34MPg2+D34RfhM+E/4TPhD+DX4JfgW+Av4BfgE+Aj4D/gW+B/4KPgy+D34SfhU+F34ZPhp+Gr4a/ht+HH4efiD+I74l/ic+Jz4mviX+Jf4nfio+Lf4yfjb+O34//kR+SP5M/lA+Ur5T/lU+Vr5ZPlz+Yf5m/mu+b35yfnU+eD57vn9+gz6GPof+iT6KPou+jj6RvpW+mX6cvp8+oX6jvqZ+qf6tfrD+s761/rg+uv6/fsV+zb7XfuF+6r7x/va++H73/vX+877yfvK+9H72/vo+/T7/vwK/Bf8KPw+/Fb8bvyD/JT8oPyp/LH8u/zI/Nf86Pz6/Q39H/0y/UX9WP1o/Xf9hP2Q/Zz9qf24/cn92/3w/gb+Hv47/lr+fP6d/rv+1f7r/vz/Cv8X/yX/NP9G/1r/cf+K/6P/u//Q/+L/8QAAABAAJAA+AFsAewCdAL0A3QD6ARcBMgFMAWYBgAGaAbcB2AH9AiUCUAJ8AqoC2QMLAz4DcAOfA8gD6gQGBB8EOARWBHkEnwTGBOkFCAUjBT0FWAV0BZIFrQXFBdkF6wX9BhMGLgZMBmcGewaFBoYGgQZ9BoAGjQalBsUG6AcJByYHPwdUB2cHegeLB5oHpQetB7IHtge6B8EHywfWB+AH6QftB+4H6wfoB+UH4wfiB+IH4gfhB94H2AfQB8cHvwe6B7kHvAfDB8oHzgfNB8UHtwemB5YHiweHB4kHjweWB5oHmgeXB5QHkweVB5wHpQeyB8AH0QfjB/YICAgVCBsIGAgPCAIH9QfsB+cH5QflB+IH2wfRB8YHugexB6kHowedB5gHlAeRB5AHkQeUB5gHnQelB68HugfFB84H0QfRB9AHzwfTB90H7QgACBQIJwg5CEgIVQhgCGgIbQhwCHUIfgiMCJ8IsgjCCMwI0gjZCOcI/gkcCToJTglUCU4JQwk+CUYJWQltCXcJbglSCSwJCAjvCOMI3AjNCK4IfghGCBIH5we8B38HGQZ+BbgE5QQ2A9MD1wQ8BOQFoQZJBsQHDgc0B0wHZAeDB6IHugfEB8EHuQezB7UHvQfIB88H0QfNB8kHxQfEB8QHwge9B7gHtQe2B7kHuwe0B6AHgQddBzwHKAcjBysHOQdGB0wHTAdIB0UHRgdKB04HUQdRB1IHVgdfB20HfweSB6MHsAe6B8MHywfRB9QH1AfSB9IH1QfdB+gH9Af6B/kH7gfeB80HwQe9B8AHxwfPB9UH1wfYB9YH1QfTB9IH0gfTB9YH2gfgB5wHnQebB5QHiweCB3oHdQdxB2wHZAdYB0oHOgcsByAHGAcRBw0HCQcHBwcHCAcJBwsHDgcSBxkHJQc1B0gHWQdmB2wHbAdpB2QHYgdiB2YHbAd0B30HiQeZB6sHwAfWB+oH/AgMCBwILQg/CFQIagiBCJsIuAjWCPQJDQkeCSgJKgkrCTAJPQlRCWsJhQmbCasJuAnFCdYJ6woAChAKGQoaChgKGwonCj4KWwp3CokKjwqLCoMKgAqHCpgKsArICtoK5grtCvIK+QsCCwsLEgsXCxwLJQs2C08LbQuLC6QLtQu9C8ILyQvVC+cL/AwQDCAMLAw1DD4MSgxYDGcMdQyBDI0MmAymDLYMyAzaDOkM9Qz9DQQNCg0SDRsNJQ0uDTgNQg1ODVwNbQ1/DZINpQ24DckN2Q3oDfYOAw4PDhwOKQ42DkAORw5KDkkORQ5CDkAOQQ5FDksOUQ5XDlwOYA5jDmUOZw5oDmgOZg5kDmIOYA5eDlsOVg5ODkUOOQ4tDiEOFA4HDfkN6w3bDc0Nvw2zDaoNow2fDZwNmw2aDZkNmA2XDZUNkw2QDYwNiQ2GDYQNhA2GDYcNiA2FDX8NdQ1pDV0NVA1PDU4NTw1RDVINUg1QDU0NSQ1EDT0NNQ0tDSUNHw0bDRcNEw0MDQMM+QzwDOgM4QzbDNMMxgy1DKEMjQx8DHAMaAxkDGIMYwxnDG8MegyIDJUMngygDJwMkgyGDHkMawxcDEgMMAwVC/oL4gvQC8ILuAutC58Ljwt9C28LaQtsC3gLiwuiC7cLyAvTC9oL3gvgC+ML6AvvC/cL/Av8C/QL4wvJC6kLiQtqC08LOAsgCwYK5grACpYKawpDCiAKAgnoCdEJuAmdCX4JWQkrCPUItghwCCQH2AeOB0sHDQbVBp8GawY5BgkF3wW8BaEFjQV9BW0FWwVGBS4FFQT7BOIEyAStBJIEeARgBEoENgQjBA4D9APUA7ADigNlA0MDJgMLAvEC1wK8Ap8CggJlAkgCKwINAe4BzwGuAY0BaQFDARsA7wDCAJUAawBEACIAAv/l/8n/rv+V/3z/Zf9N/zT/Gf78/t7+v/6g/oH+Yf5A/h39+f3X/bf9m/2C/Wz9Vv1A/Sr9E/z9/Of80Py5/J/8gvxk/Eb8KPwK++z7zfut+4v7avtM+zD7GPsB+un6z/qy+pL6cvpR+jH6Evn1+dj5vPmh+Yf5bPlR+TX5F/j4+Nv4wPin+JH4fPhm+E34MfgV9/r34ffL97f3pPeR93z3ZvdP9zj3I/cO9vn25PbP9rn2o/aO9nv2aPZY9kj2OfYq9hr2CfX29eP1z/W89av1mvWL9Xz1bfVc9Uv1OvUq9Rv1DvUC9Pf07PTh9Nf0zfTE9Lv0svSo9J/0lvSQ9Iz0ivSK9In0iPSE9IH0fPR59Hf0dfR09HP0cfRw9G/0b/Rv9HD0cPRu9Gv0Z/Rk9GP0ZPRm9Gr0bvRy9Hj0ffSE9Iz0kvSV9JX0kvSP9I70k/Sd9K30wPTV9Of09fT/9Qb1C/UQ9RX1G/Uj9Sv1MvU49T31QvVJ9VP1YPVt9Xn1f/WA9X31e/V89YX1lPWn9bj1wfXB9br1sPWp9aj1rPWz9bn1vPW69bP1p/WV9X71Y/VG9S71IPUe9Sb1L/Ux9Sb1EfT59Or06vT09Pv06vSx9E3zy/NI8uXyu/LP8xXzcPO/8+vz6/PJ85XzYvM88yTzFfMG8u/yzvKl8nnyT/Iq8grx7/HY8cPxr/Gc8YnxdPFd8UXxKvEN8O/w0fC08JnwgvBv8F/wUvBD8C/wFu/579nvvO+j75HvhO95727vYu9T70TvNO8n7xzvFO8O7wvvCe8J7wnvCO8G7wPu/+777vfu9O7w7uvu5u7g7tvu2O7X7tnu2u7b7tzu3O7d7uHu5+7t7vHu8u7u7uju4+7h7uPu6O7t7vLu9e747v7vCO8X7ynvOu9H703vT+9O70/vUu9Z72HvaO9t73Hvdu9974fvlO+h763vt++/78bvzu/X7+Lv7e/58AbwFPAk8DbwSfBa8GnwdfB/8IrwlvCl8LfwyfDa8Ojw9PD/8QvxGvEp8TnxSPFW8WTxc/GF8ZrxsvHJ8d/x9PIG8hnyLPJB8lbyavJ88ovymPKk8rHyv/LO8t3y6/L58wfzFfMk8zLzQfNO81vzZvNz84DzkPOg87HzwvPR8+Hz8PP/9A70HfQr9Dj0Q/RP9Fn0ZPRv9Hr0g/SN9Jb0n/Sq9LT0vvTG9Mz0z/TQ9NH00/TX9Nz04vTo9O308vT29Pr0/fUB9QT1CPUL9RD1FfUa9SD1JfUq9TD1NfU69T/1RPVK9U/1VfVb9WH1aPVv9Xf1fvWG9Y71lfWd9aP1p/Wp9an1qPWo9an1rPWw9bT1uPW79b71wPXF9cv10/Xc9ef18vYA9hD2IvY29kr2XvZv9n/2j/af9rD2wvbT9uP28fb79wP3CfcP9xT3Gvcf9yT3K/cz9z73TPdc92z3e/eI95L3mvee95/3nPeX95D3iveG94f3jfeX96L3rfe39773xffM99T33vfo9/H3+ff/+AP4BfgG+AX4BPgB9//4APgD+Av4Ffgh+Cv4Mfgx+Cr4HfgL9/j35ffT98T3uve097X3u/fG99b36Pf7+A34Hvgr+DX4PvhG+FD4XPhq+Hf4gviJ+Ir4h/iC+H74ffiA+If4j/iZ+KX4tPjG+N349vkP+SX5N/lF+VH5Xflr+Xz5jfmc+an5svm7+cX50fne+ez59/n++gL6BfoK+hL6Hvos+jv6SfpV+mD6bPp6+on6mPqk+qz6svq4+sL61Pry+xn7R/t2+5/7vfvP+9P7zvvF+737uvu++8b70fva++D75Pvn++z7+PwK/CP8P/xZ/HD8g/yQ/Jz8pvyy/L/8zfzd/O38//0S/Sb9O/1Q/WP9df2F/ZT9ov2v/bz9yf3Y/er9//4Y/jX+Vf51/pT+sP7I/t3+7/8A/xL/JP82/0r/X/9z/4f/mf+p/7j/xv/X/+oAAwAhAEMAZgCJAKsAywDpAQYBIwE/AVsBdgGRAa0BywHrAg0CMgJaAoUCswLlAxoDUAOEA7UD4AQGBCgESQRpBIoEqgTIBOME/AUTBSwFSQVpBYsFrAXLBeYGAAYaBjUGUgZtBoQGkwaaBpkGlwaXBp0GrAbCBtwG+AcTBy0HSQdlB4IHnQeyB78HwQe9B7MHqwenB6sHtgfEB9MH3gfkB+QH4gffB94H4QfnB+8H9wf7B/oH8wfmB9cHyAe+B7sHwAfKB9UH3AfdB9YHyQe6B68HqQerB7AHtge5B7gHtAeuB6kHqAesB7QHvwfNB90H8AgFCBsILwg9CEIIPggzCCQIFggLCAQH/wf4B+8H4wfVB8YHuAetB6QHngeaB5gHmQebB54HoQeiB6IHowemB60HuAfEB88H1gfYB9cH2AffB+sH/ggTCCgIOwhLCFkIZghyCHwIggiGCIkIkAicCK0IwAjQCNwI4wjrCPcJDAkoCUUJWwlmCWUJXwlaCV0JZwlxCXMJZglMCSsJDAj2COkI3QjKCKoIgQhYCDcIHwgEB88HZwbDBe0FCgRJA9kD0gQxBNUFkwY+Br0HCwc1B04HZQeCB58HtgfCB8UHwwfEB8sH2AfnB/IH+Qf8B/8IBAgLCBAIEQgLCAMH/Qf+CAQICggJB/sH3ge4B5IHdwdrB24HeAeDB4YHggd5B28HaQdpB2sHbwdzB3YHegd/B4cHjgeUB5cHlgeSB48HjAeKB4gHhQeAB34HfweGB5EHnQemB6gHoweXB4oHfwd4B3cHegd9B4AHgweFB4cHigeNB48HjweQB5EHlAeYB0sHTQdOB0sHRAc8BzQHLgcqBycHIwccBxQHCgcABvYG7gboBuQG4QbiBuUG6QbuBvIG9Qb4BvwHBAcPBx4HLgc7B0UHSgdMB00HTwdUB1sHZQdxB34HjgeiB7gH0AfnB/4IEgglCDcISghdCHAIhAiYCK4IxAjdCPYJDQkgCS0JNQk6CUAJSglaCW0JggmVCaUJtAnDCdUJ5wn5CggKEAoUChYKGwonCjgKTApeCmoKbgpuCm8KdwqHCp0KtwrMCtsK4wrlCuYK6ArsCvIK+QsCCw8LIQs6C1YLcwuLC5sLogulC6cLrwu8C80L3wvuC/kL/wwFDA0MGAwmDDYMRAxQDFwMagx6DI4MpAy4DMkM1QzeDOYM7Qz2DQANCg0SDRoNIg0rDTYNRA1UDWQNdA2EDZQNow2yDcEN0Q3gDe8N/Q4KDhYOHg4jDiQOIg4gDh4OHw4jDicOLA4wDjMONA42DjgOOg4+DkEOQg5CDkEOPg46DjUOLg4lDhoODQ4ADfMN5w3bDc8NwQ2yDaENkQ2DDXkNdA1zDXUNeA16DXsNeg14DXYNcw1xDW8Nbg1uDW4Nbw1vDW4Naw1kDVsNUA1HDT8NOw06DTsNOw07DToNOA03DTYNNQ0zDS4NJw0eDRYNDw0KDQUM/wz3DOwM4AzVDMsMxAy8DLEMoQyNDHgMZwxcDFoMXwxnDG8MdAx2DHgMfQyFDJAMmwyiDKMMngySDIMMcAxaDEEMJAwGC+kL0Qu/C7MLqwuiC5cLhgt0C2QLXAteC2sLgAuZC7ILxwvXC+IL6QvtC/AL8QvxC+8L6gviC9cLyAu0C50LgwtoC0wLMQsVCvgK2Aq2CpAKagpFCiIKBQnrCdUJvwmpCY8JbwlHCRYI3AiZCFAIAge0B2gHIQbeBqEGaAY0BgQF2QW1BZYFewVlBVAFPAUoBRME/gToBNAEtgSZBHoEWwQ/BCUEDgP4A+IDygOvA5EDcANQAzADEQLzAtQCtQKWAngCWwJBAicCDgHzAdcBuAGYAXUBUAEpAQAA1QCrAIIAWwA4ABb/9//Y/7v/n/+G/27/WP9B/yj/DP7s/sz+q/6M/m3+Tv4v/g396v3G/aX9hv1r/VT9Pv0q/RX9Afzt/Nr8xvyw/Jn8f/xi/EP8I/wC++L7wfug+4D7YftE+yr7E/r7+uP6yfqs+oz6bPpL+iv6Dfnv+dH5tfmZ+X/5ZflK+S75Efjy+NT4uPie+Ib4cPhZ+EH4JvgL9+/31ve/96r3lveC9233Vvc+9yX3Dfb29uH2zfa79qj2lPaA9mv2VvZB9i72HfYN9f/18PXg9c71u/Wn9ZT1gvVy9WP1VfVG9Tf1JvUV9QT09PTk9Nb0yfS99LL0qfSg9Jf0jvSE9Hv0cvRq9GX0YfRf9Fz0WfRV9FH0TfRL9Er0SvRJ9Ef0Q/Q/9Dv0OvQ69Dz0PvQ+9D30OvQ29DP0MfQw9DL0NPQ49D30Q/RK9FL0WfRf9GH0YPRe9Fz0XvRj9G/0fvSQ9KL0svS/9Mj0zvTS9Nf03fTl9O709vT99QL1BvUL9RT1IPUv9Tz1RvVJ9Uf1Q/VC9Uj1VfVn9Xn1hvWN9Y71i/WH9Yb1ifWM9ZD1kfWQ9Y31hfV59WT1SPUm9Qb07vTj9Ob08fT79Pr07PTX9MT0vPTC9M/00vS49Hf0EPOU8x3yx/Kh8q7y4PMe81LzbfNp80/zK/MH8uvy1vLE8rDylfJz8k3yJvIB8eHxxfGs8ZXxfvFm8U3xNfEd8Qbw8PDY8L/wpfCJ8HDwWfBH8DnwLPAd8Arv8O/R77HvlO9772nvW+9P70LvNO8j7xDu/u7u7uLu2O7T7s/uzu7O7s7uzO7J7sTuv+647rLuq+6l7p7ul+6R7o3uje6P7pPul+6b7p/uou6m7q3ute697sLuw+7A7rvuuO647rzuwu7H7sruy+7L7s3u1u7k7vbvCu8b7yfvLu8y7zbvOu8/70XvSu9O71LvVu9d72fvcu9974fvkO+Y76HvrO+478Xv0u/d7+fv8e/88AjwFvAk8DDwPPBH8FTwZPB28IvwnvCv8LzwxvDQ8Nrw5/D18QXxE/Eh8S7xPfFO8WLxefGP8aXxuPHK8dzx7vID8hnyMPJF8lfyaPJ38oXyk/Kh8q/yvPLK8tfy5vL28wbzFfMk8zDzO/NG81LzXvNt83vzi/Oa86nzuPPI89fz5/P29AT0EvQf9Cz0OPRD9E30VvRd9GT0a/R09H30h/SP9JT0l/SZ9Jv0nfSi9Kf0rvS09Lr0vvTC9MX0yvTP9NX02/Tg9OX06fTs9PD09fT59P/1BPUK9Q/1E/UX9Rr1HvUh9Sb1K/Uy9Tr1QvVL9VX1X/Vp9XL1evWA9YX1iPWK9Y31kvWX9Z71pPWr9bD1tPW29bf1t/W19bP1svWz9bf1wfXO9eD19fYL9iL2OfZP9mX2evaO9qD2sPa99sj20vbb9uP26vbw9vf2/vcF9w73GPci9y73OfdF91H3XPdk92n3avdn92H3WvdW91X3Wfdh92v3dfd+94b3jveW96D3qve09773xvfO99X33Pfi9+X35vfl9+H33vfd99/35vfv9/n4AvgH+Ab3//fy9+D3yve095/3jveB93v3efd794D3iPeT96D3rve+98733/fw+AL4Fvgr+ED4VPhk+HD4dvh4+Hj4dvh0+HL4b/ht+G34c/h/+JT4r/jN+Ov5Bvkd+TD5QflT+WX5d/mH+ZP5nPmi+ar5s/m/+cz51/ng+eT55/nq+e/5+PoE+hL6IPot+jv6Svpa+mv6e/qH+o/6lfqa+qT6tfrR+vb7IftK+237hfuQ+5H7i/uE+4H7hfuP+577rfu6+8L7xvvJ+8371vvl+/r8E/wt/EX8Wvxr/Hj8g/yO/Jn8pfyy/MD80fzl/Pz9Ff0v/Ur9ZP17/Y/9oP2u/bn9w/3O/dv97P4B/hr+Nf5R/mz+hf6d/rT+yv7g/vb/DP8h/zX/SP9Z/2j/d/+F/5P/o/+3/87/6wALAC0AUABxAJEArwDNAOsBCQEnAUYBZAGDAaEBwAHhAgMCJwJMAnMCnALHAvYDKANbA44DwAPwBB8ESgRzBJcEtgTOBOEE8wUGBR0FOwVfBYYFrQXSBfMGEAYsBkYGXwZ1BoYGkgaYBpsGngamBrMGxAbYBu0HAgcYBzAHTQduB5EHrwfEB8wHxQe0B54Higd/B38HigecB7IHxwfZB+UH7gfzB/gH/AgCCAcICwgNCAoIAQf1B+YH2QfRB9AH1QfdB+QH5wfkB9sH0AfHB8MHxQfKB9AH0gfOB8YHvQe2B7QHuQfCB84H2gfmB/IIAAgRCCQINghDCEkISAhACDUIKQgdCBIIBAf2B+UH0wfEB7gHrwepB6MHngeZB5cHmQefB6cHrwe1B7gHuge+B8UHzwfbB+UH6gfqB+cH5gfqB/YIBwgcCDEIRAhUCGMIcQh+CIkIjwiRCJEIkwiaCKgIvAjRCOII7wj4CQIJDwkiCTgJTgldCWYJaQlqCW0JcAlwCWkJWglDCSoJFQkICP8I9AjgCMAIlwhsCEYIIwf1B6kHLQZ8BaYEzgQiA8cD0QQ5BN0FlQY5BrIG/wcqB0cHYgeCB6IHvgfRB9sH4gfqB/YIAwgPCBYIGggcCCMILgg7CEUISAhCCDgIMQgxCDoISAhSCFAIPwgjCAIH5wfYB9UH2QfdB9wH0wfGB7kHsQeuB7EHtAe3B7YHtAexB68HrAenB6EHlweMB4EHdgdsB2IHWAdPB0cHQwdFB0sHVAdbB10HWgdUB0wHRgdCB0IHQwdEB0MHQwdEB0cHSwdPB1EHUAdNB0kHRwdIBvcG/AcABv8G+gbxBuYG3QbWBtMG0QbRBtAGzgbLBsgGxgbFBsYGyQbOBtQG2wbiBucG6QbrBu0G8Qb5BwUHEgcfBysHNAc7B0IHSgdUB2AHbQd8B40HoAe1B8wH5Af8CBMIKQg+CFQIaQh/CJQIqAi5CMkI2AjpCPsJDQkfCS4JOglECU4JWQlnCXYJhwmXCaYJswnACc4J3QnsCfgKAwoMChUKHgoqCjYKQQpKCk8KVApaCmUKeAqPCqkKvwrOCtQK0wrQCs0KzgrTCtwK6Ar4CwsLIgs7C1ULawt6C4ILhguHC4wLlwulC7YLxAvNC9EL0gvUC9kL4wvwC/4MCwwXDCUMNgxKDGIMewyRDKMMsQy8DMUMzwzaDOQM7AzzDPgM/g0GDRINIA0vDT4NTA1ZDWYNdA2EDZQNpQ20DcMN0A3dDekN9A39DgMOBg4GDgUOBQ4GDggOCg4LDgwOCw4LDg0OEA4UDhgOGg4aDhgOFA4QDgoOBA38DfIN5Q3XDckNug2tDaANkg2EDXUNZg1aDVENTQ1NDVANVQ1YDVoNWg1YDVcNVQ1VDVUNVQ1WDVcNVw1VDVENSQ0/DTQNKg0iDR4NHg0gDSENIQ0gDR0NGw0bDR0NIA0gDR4NFw0ODQUM/gz5DPQM7wzmDNkMywy9DLAMpgycDI8MfQxoDFMMQww8DEAMSwxaDGgMcAxzDHMMdAx3DH4MhQyKDIoMgwx2DGYMUgw8DCQMCAvrC88LtgukC5gLkAuJC4ALcwtjC1ULTgtQC1wLcAuIC54Lrwu8C8MLyAvKC8sLyQvDC7sLsAukC5cLigt8C2sLVgs9CyMLBwrrCs8KtAqWCnUKUgouCgwJ7QnTCb8JrwmgCZAJewleCTkJCQjPCIsIPgfrB5UHPwbsBqAGXAYhBe4FwwWeBX0FYAVFBSwFFQUBBO8E3QTMBLgEoQSGBGgERwQnBAcD6QPOA7UDnAOFA2wDVAM6Ax4DAALeArsClgJzAlECMwIZAgAB6AHPAbQBlgF1AVIBLQEGAN4AtQCOAGgARgAlAAb/5//I/6r/jP9x/1j/Qf8q/xD+9P7V/rP+kv5y/lP+Nf4W/fX90/2w/Y79cf1X/UH9Lf0b/Qj89fzi/M78uvyk/Iz8cvxV/Df8F/v2+9b7tvuW+3f7Wfs8+yH7Bvrs+tH6tfqY+nr6XPo++iH6BPnm+cn5rPmP+XT5Wvk/+ST5B/jp+Mv4rfiS+Hj4YfhJ+DH4GPf99+L3yPev95j3gvdt91f3Qfcp9xD29/bf9sn2tPah9o/2ffZq9lX2P/Yp9hP2APXw9eH11PXG9bX1o/WO9Xr1Z/VV9Ub1N/Uo9Rn1CPT39Ob01vTG9Lj0q/Sf9JT0ifR/9Hb0a/Rh9Ff0TPRD9Dr0M/Qt9Cf0IvQd9Bn0GPQY9Bn0GfQZ9Bb0EfQL9AX0AvQC9AP0BvQI9An0CPQF9AHz/vP78/nz+fP68/70A/QJ9BH0GPQd9CH0I/Qj9CT0JvQr9DT0QPRO9F70bfR79Ib0jvSU9Jv0ovSr9LT0vPTD9Mb0yPTM9NL03fTr9Pr1B/UN9Q31CvUI9Qr1E/Ui9TP1QvVO9VX1WPVb9V31YPVj9WT1ZPVj9WL1XvVX9Uf1LfUK9OT0w/Sv9Kz0tvTE9M30yvS69KX0lvST9Jz0qPSn9Ir0SPPn83bzDPK+8pjymfK28t7zAPMR8w7y+vLe8sDyo/KI8m3yUfIx8hDx7/HQ8bTxmvGC8WnxT/E08Rjw/fDk8M7wufCk8I/wePBg8EnwNPAj8BTwBe/079/vx++r75Dvdu9g707vPu8u7xzvCO7z7t/uy+667q3uou6b7pbulO6S7pHuj+6L7obugO557nLua+5k7l3uV+5S7k/uT+5S7lfuXe5i7mbuau5v7nfuf+6I7o/uku6T7pPulO6X7pzuou6n7qjupe6h7p7uoe6q7rnuzO7g7vLvAe8N7xfvIO8n7y3vMu827znvPu9F703vVu9e72Tvau9x73nvhe+T76LvsO+878bvzu/W79/v6e/07/7wCvAW8CbwOPBN8GLwdvCG8JPwnPCk8K3wufDH8Nfw5fDz8QDxDvEe8THxRvFb8XDxg/GV8abxuPHL8d/x9PIJ8h3yL/JB8lLyY/Jx8n/yjPKY8qXys/LD8tTy5vL28wXzEvMe8yrzNvND81DzXvNr83nzhvOU86LzsPO+88zz2vPn8/X0A/QQ9Bz0JvQu9DX0PPRD9Er0UfRX9Fv0XfRf9GL0ZvRr9HL0efR/9IP0hfSH9Ir0jvSU9Jv0o/Sr9LL0uPS99ML0x/TN9NP02fTe9OP05/Tq9Oz07fTv9PL09vT69QD1BvUN9RT1HfUn9TL1PfVI9VD1V/Vc9WH1ZvVt9Xb1gPWL9ZX1nfWj9ab1pvWk9aH1nfWZ9Zj1mfWe9af1tPXE9db16fX99hD2IvYz9kP2VPZk9nT2g/aR9p72qfaz9r32x/bS9tz25fbt9vX2/fcF9w/3Gfcj9yv3L/cw9y73K/cp9yn3LPcy9zj3P/dG9033Vfde92j3cvd894b3kPea96T3r/e598H3xvfH98T3wPe897n3uve998L3yPfM9833yffB97T3pPeT94P3dvdr92T3XfdX91D3S/dH90n3T/db92v3ffeQ96T3uffQ9+n4A/ge+Db4Svha+GX4bPhv+G74avhk+F74Xfhh+G34f/iW+K34xPjY+Ov4//kV+S35Rflb+Wz5efmC+Yn5kvmd+an5tvnA+cf5zPnP+dT52/nl+fH5/voL+hn6Kfo5+kv6Xfps+nn6g/qM+pf6qPq/+tr69/sR+yX7MPsz+zH7Lfst+zT7QPtT+2j7ffuO+5z7pvut+7X7v/vM+9778vwI/B78M/xF/FT8Yfxt/Hf8gvyO/Jv8q/y//Nb88f0O/S39TP1p/YL9l/2o/bT9v/3J/dX94/31/gn+Hf4y/kb+Wv5u/oP+mv6z/s3+5/7//xX/KP84/0f/Vv9m/3j/jf+l/8D/3v/+AB4APQBbAHgAlACwAM4A7AEKASoBSwFsAY8BswHYAf4CIwJIAmwCkQK3AuADCwM6A2sDngPRBAQENgRkBIwErwTKBOAE9AUJBSIFQQVlBYwFsgXVBfQGEAYpBkIGWgZwBoIGjwaZBqAGqAazBsEG0gbjBvQHBAcWByoHRAdhB34HmAeoB60HpgeWB4QHdAdrB2wHdQeGB5sHtAfNB+QH+QgICBMIGAgYCBYIEQgNCAgIAgf9B/gH9Af0B/YH+wgACAIIAAf5B/AH6AfkB+UH6QftB+0H5wfcB88HxgfDB8kH1gflB/EH+Af6B/sH/QgDCAwIFwgiCCoILggxCDEIMAgsCCIIEwf9B+UHzwe+B7QHrwesB6gHnweVB4wHiAeMB5YHpQe1B8IHzQfYB+MH7wf7CAMIBggCB/wH9wf4CAAIDwghCDMIQwhRCF8Ibgh9CIoIkwiXCJYIlQiYCKMItgjNCOQI9gkDCQsJEwkcCSoJOQlJCVYJYAlmCWoJawlmCVwJSwk3CSQJFgkNCQYI+wjkCMAIkAhWCBcH0Ad3BwIGagWzBPEERAPQA64D5gRnBRMFwwZYBsQHBwcvB00HbAePB7MH0wfsB/0ICggWCCEIKggtCCwIJwgkCCgIMwhBCEwITghGCDgIKwgmCC0IPAhMCFQITwg+CCYIEAgBB/sH+gf4B/EH5gfXB8sHxAfDB8YHyAfIB8IHuQeuB6QHmweSB4kHfgdxB2QHVgdIBzsHLgciBxcHEAcNBwwHDQcNBwsHCAcFBwMHBAcIBwwHDgcNBwkHAwb/Bv4HAAcCBwMHAQb8BvYG8wbzBqIGqwayBrUGsQaoBpsGjwaGBoIGggaFBokGjgaUBpkGnwamBq4GtwbBBsoG0wbaBt8G4wbmBuoG8Ab5BwUHEwchBy4HOgdGB1EHXQdqB3gHhweXB6gHuwfQB+cH/ggWCC4IRQhcCHMIigihCLYIyQjYCOQI7gj5CQYJFQklCTYJRQlTCWAJbQl6CYgJlgmjCa8JuQnDCcwJ1gnhCewJ+QoGChIKHQonCi4KMwo2CjoKQgpQCmMKewqUCqkKtgq6CrYKrwqqCqoKsAq9Cs4K4Qr2CwsLIQs2C0kLVwthC2YLagtwC3kLhwuWC6MLqwutC6oLpgukC6cLsAu7C8cL1AvjC/MMCAwgDDsMVQxrDH0MiwyXDKMMrwy6DMUMzQzSDNYM3AzlDPENAA0PDRwNJw0xDTwNSg1bDW0Nfw2PDZsNpg2xDb0Nyw3YDeMN6g3tDewN6w3pDekN6g3sDewN7A3sDe0N7g3wDfIN8w3xDe0N6A3jDd4N2g3VDc0Nwg2yDaANjQ16DWkNWw1ODUINOQ0xDS0NKw0sDTANMw03DTkNOg07DTsNPA08DT4NPg0/DT8NPQ06DTMNKg0eDRINCA0BDP4M/w0BDQMNAw0BDP4M/g0ADQQNCQ0MDQoNBQz9DPQM7gzqDOYM4QzXDMgMtgyjDJIMhAx3DGkMWQxHDDUMKAwjDCgMNAxEDFIMXAxgDGAMYQxiDGYMagxsDGgMXwxSDEIMMAweDAoL8wvZC8ALqQuWC4kLgQt5C3ALZAtVC0gLQAtBC0sLXAtuC34LiAuMC4sLhwuCC30LdwtwC2gLXwtYC1ELSQtACzMLIQsJCu4K0gq2Cp0KhApqCk0KLQoLCeoJzQm3CagJngmXCY8JgwlxCVcJNAkHCM4IiQg3B9wHegcYBroGZQYcBd4FrAWABVoFNwUXBPoE4ATKBLkEqgScBI0EegRkBEkEKgQKA+kDyAOpA4wDcgNaA0MDLQMWAvwC3gK8ApgCcgJOAiwCDgHzAdoBwQGmAYoBbAFLASkBBQDgALkAkwBtAEkAKAAJ/+v/zP+t/43/bf9Q/zT/HP8F/u7+1f66/pz+ff5e/j7+Hf38/dn9tv2T/XT9Wf1D/TL9I/0V/Qb89fzh/Mv8s/yZ/H78YfxD/CT8Bfvn+8n7rPuO+3H7U/s1+xf6+frb+rz6nvqA+mP6R/or+hD59PnZ+bz5oPmE+Wj5Tfky+Rb4+fjb+Lz4nviB+Gb4Tfg1+B34BPfq98/3tPea94L3a/dV90D3K/cV9v/25/bP9rf2oPaK9nb2Y/ZQ9jz2J/YS9f316fXY9cn1u/Ws9Zz1ivV29WL1T/U99S31HvUP9P/07vTc9Mr0ufSp9Jr0jfSB9HX0avRf9FT0SvQ/9DT0KfQe9BP0CPP+8/Xz7vPp8+bz5PPk8+Xz5fPj8+Dz3PPX89Lzz/PO887z0PPR89Hz0fPO88vzyPPF88LzwvPC88XzyfPO89Pz1/Pa89zz3/Pi8+fz7fP29AD0DPQY9CX0MvQ+9En0UvRb9GP0bPR19H70hvSL9I30jfSO9JP0nPSp9Ln0xvTQ9NP00vTQ9ND01fTf9Oz0+/UI9RP1HPUk9Sz1M/U59Tv1O/U69Tj1N/Uy9Sf1EfTx9Mv0pvSM9IH0h/SX9Kb0rPSl9JL0fPRt9Gz0dvSA9H70Y/Qo89TzdPMY8tHyp/KZ8qHysvLB8sXyvfKq8o/ycfJR8jHyEvH08dbxuvGh8YrxdfFf8UfxLfEQ8PLw1PC58KDwifB08F/wSvA18CHwDe/77+nv1u/C76vvle9+72rvV+9F7zTvIe8L7vPu2+7D7q/une6O7oLueO5w7mnuZO5f7lzuV+5S7kvuRO497jfuMu4u7inuJe4i7iDuIO4j7ijuLe4y7jXuOO487kHuSe5S7lruYu5n7mvub+507nrugO6E7oTugu597nnuee5+7onume6s7sDu0u7j7vLu/+8J7xDvFe8Z7xzvIe8n7y7vNe8870HvRu9L71LvW+9o73Xvg++Q75zvp++w77vvxe/P79nv4+/v7/3wDfAh8DXwSfBa8GfwcvB88IbwkvCg8K/wvfDL8Nfw5fDz8QTxF/Es8UHxVfFo8XvxjPGe8a/xwPHR8eLx9PIG8hjyKvI78kryWPJk8nHyf/KO8p/ysfLC8tPy4vLw8v/zDfMb8yjzNfNC803zWfNl83HzffOJ85bzovOu87vzyfPW8+Pz7fP38//0B/QO9BX0GvQe9CH0I/Qk9Cf0LPQy9Dr0QfRI9Ez0TvRP9FD0U/RX9F70ZvRv9Hf0f/SH9I70lfSc9KL0qPSu9LP0t/S69Lz0vvTA9ML0xfTI9Mz0z/TT9Nf03vTm9PD0/PUI9RP1HPUi9Sj1LfUz9Tv1RfVQ9Vz1ZvVw9Xj1gPWG9Yz1kfWV9Zb1l/WX9Zj1m/Wh9ar1tPW/9cr11PXg9ez1+/YL9hz2LPY79kj2U/Zf9mv2efaI9pj2p/a09r/2yPbQ9tj24Pbp9vD29Pb19vX29Pb19vf2+/cB9wf3DfcT9xj3H/cn9zD3OvdE9033V/di9273eveG95H3mPeb95v3mPeV95L3kPeP95D3kfeR95D3jfeI93/3dfdq92D3WPdT9073SfdC9zr3MPcp9yX3J/cu9zn3RfdR9133avd59433pvfC99/3/fgY+DD4RPhU+F/4Zvhq+Gv4a/hs+HD4dvh9+IT4iviR+Jr4qfi9+Nj49vkU+S75QvlR+Vz5Z/lz+YH5kPmd+an5sfm3+b75xfnN+df54vnt+fj6BPoS+iP6NfpH+ln6avp7+oz6n/qy+sX61frg+uX65frh+t/64frq+vn7Dvsl+z37Uvtl+3X7hPuS+6D7r/vA+9H75Pv4/Az8Ifw1/Ef8WPxl/HH8e/yF/JH8n/yv/MP82/z2/RL9MP1N/Wj9f/2S/aL9sP29/cr92f3o/fn+Cf4Y/ib+NP5E/lf+bv6I/qP+v/7Y/u//Av8U/yX/N/9L/2L/fP+Z/7b/1P/yABAALgBLAGcAhACgALwA2AD0ARIBMgFUAXsBpAHNAfYCHQJAAmICgwKnAs0C9wMkA1MDgwOyA+IEEQQ/BGsElAS4BNkE9gUSBS8FTQVtBY0FrAXJBeQF/gYYBjQGUAZrBoMGlgakBq4Gtga/BsgG1AbgBu4G/AcKBxsHLgdBB1UHZQdyB3sHgQeFB4kHjgeTB5gHnAegB6YHsAe/B9IH5wf6CAgIDggOCAoIBAgBCAEIBAgICA0IEQgVCBkIGwgdCB4IHQgcCBoIGwgdCCAIIQgdCBEIAQfuB98H2AfcB+gH9wgDCAcIAQf0B+UH2AfRB88H0gfWB90H5QfwB/8IDwgaCB0IFAf/B+QHyQe1B6sHqAeoB6UHmweNB30HcwdxB3sHjQeiB7gHzQfeB+8H/ggKCBMIFQgRCAkIAwgBCAUIEAgeCC0IOghGCFMIYwh2CIkImgilCKkIqwitCLQIwwjXCO0JAQkQCRkJHwklCS0JNwlCCU0JVglbCV4JXAlVCUkJOQklCRIJAQjyCOIIzQiuCIIIRwf9B6QHOga6BiQFegTMBC8DvgORA7QEIQTBBXQGGgaeBvcHLAdNB2cHhQenB8sH6wgECBcIJQgyCDsIPgg8CDMIKAggCCAIKAg0CD0IPAgvCBsIBgf4B/UH/AgHCA4IDQgCB/EH4QfVB84HyQfDB7kHqwecB5AHigeKB4wHjgeLB4QHeAdsB18HVQdMB0IHOAcsBx4HEAcDBvYG6wbhBtkG0gbNBsgGwwa9BrYGsAatBq8Gtga/BsgGzgbNBsYGvQa0Bq0GqgapBqgGpQagBpsGmQabBlIGXwZqBnIGcwZtBmMGWQZQBksGSgZOBlMGWgZiBmwGdwaEBpEGnwarBrYGvwbGBs0G1QbdBucG8gb/Bw4HHgctBzwHSwdZB2cHdQeFB5QHpAe0B8YH2gfvCAcIIAg5CFEIaQiACJYIrAjACNMI4gjvCPoJAwkNCRkJKAk5CUsJXAlsCXsJiQmWCaMJrwm6CcMJygnQCdUJ2wniCewJ9woDCg4KFwodCiAKIgomCi0KOgpMCmIKeQqKCpQKlgqQCokKgwqECowKnQqyCskK4Ar2CwoLHAssCzoLQwtLC1ELVwthC20LfAuIC5ALkguOC4YLfwt8C34LhQuPC5sLqAu4C8sL4gv9DBgMMQxGDFcMZAxxDH8MjQycDKcMsAy2DLsMwgzMDNgM5QzwDPkNAA0HDRENIA0zDUcNWw1qDXUNfg2HDZMNog2yDcANyg3ODc4Nyw3JDcgNyg3MDc4Nzg3NDcwNyw3MDc0NzA3JDcUNvw25DbUNsQ2tDaYNmw2LDXYNYA1LDTgNKQ0fDRgNEw0QDQ8NDw0QDRINFA0WDRcNGQ0bDR0NHw0hDSINIg0hDSANHg0aDRQNCw0ADPUM6gziDN8M3wzhDOMM5QzkDOQM5QzoDO0M8wz3DPYM8gzrDOQM3gzaDNcM0AzFDLMMngyHDHIMYAxSDEYMOgwtDCIMGQwWDBkMIgwtDDcMPgxBDEMMRQxJDE4MUgxTDE4MRAw2DCYMFgwGC/UL4gvNC7cLoguRC4QLegtxC2ULVgtECzMLJwsjCygLNAtBC00LUgtRC0oLPws1CysLJAseCxsLGgsaCxoLGQsUCwgK9grdCsAKogqGCmwKUwo7CiEKBgnqCdIJvgmwCagJogmbCZEJgglvCVgJPQkdCPMIvgh5CCQHwgdZBu8GjAY0BegFqAVyBUMFGQTyBM8EsQSXBIMEcgRjBFQEQgQtBBUD+wPfA8EDpAOHA2oDTwM0AxoDAALlAsgCqQKHAmUCQwIiAgUB6QHPAbUBmQF8AV0BPgEeAP4A3AC6AJYAcgBNACoACP/o/8n/qv+K/2n/R/8o/wv+8f7b/sb+sv6c/oT+aP5K/in+Bf3g/br9lv11/Vj9Qv0x/ST9Gv0P/QP88vze/Mb8q/yO/G/8T/ww/BH79PvY+737ovuH+2v7Tvsv+xD68frR+rH6kvp0+lX6OPob+gD55PnJ+a75k/l3+Vz5QPkj+QX45vjG+Kf4iPhs+FD4N/ge+AX37PfS97j3nveF92z3VPc+9yn3FfcB9uz21va+9qX2jPZ09l32R/Y09iH2DvX79en11vXE9bT1pPWU9YT1cvVf9Uz1OvUp9Rr1DPT+9O/03fTK9Lb0ovSO9H30bfRf9FH0RfQ69C/0JvQc9BL0B/P78+/z4/PX88zzxPO987nztfOy87DzrPOo86TzofOf853znfOc85zzm/OZ85jzlfOT85DzjvOM84zzjPOP85Pzl/Oa85zznPOb85nzmvOe86Xzr/O788nz1fPh8+3z+PQD9A30F/Qg9Cn0MvQ79ET0TPRR9FT0VfRW9Fn0YPRr9Hn0hvSR9Jb0l/SV9JT0l/Sd9Kf0tPTB9M302vTn9PT1APUJ9Q71EPUP9Qz1CfUF9P307fTT9LH0jfRv9F70XPRo9Hn0hfSG9Hr0ZvRR9ET0Q/RN9Ff0VvRB9BPz0fOD8zXy8vLC8qTylfKN8ofyfvJw8lzyQ/Io8gvx7fHQ8bTxm/GE8XDxXPFI8TLxGPD78Nzwu/Cb8H3wYfBJ8DPwIfAQ8ADv7+/d78nvse+Y73/vZ+9T70LvNO8l7xPu/u7l7svusu6b7onueu5u7mTuWe5P7kbuP+447jLuK+4j7hvuEu4K7gTuAO387fnt9+317fTt9e357f/uBe4K7g7uEO4S7hbuG+4j7ivuNO477kDuRO5J7k/uVe5a7l7uYO5h7mLuZO5q7nTuge6Q7qDusO6/7s3u2e7j7uvu8O7z7vbu+e797wTvC+8U7xzvI+8r7zLvOu9D707vWe9k73Dvfe+K75fvpO+v77rvw+/N79jv5u/38ArwHfAu8D7wTPBY8GPwb/B78IjwlfCh8K7wu/DK8Nrw7PD/8RPxKPE98VHxZPF28YbxlfGi8a/xvfHN8d7x8PIC8hPyIvIx8j/yTfJc8mzyffKN8p3yrPK88svy2/Lr8vrzCPMV8yHzLPM480PzT/Nb82fzcvN984jzk/Od86fzsPO588HzyfPR89jz3/Pk8+fz6fPr8+3z8vP49AH0CfQR9Bb0GvQc9B70H/Qi9Cb0LPQz9Dr0QfRJ9FH0WPRf9Gb0bPRz9Hn0f/SE9Ij0i/SO9JH0k/SW9Jj0mvSc9J/0o/Sp9LH0vPTI9NT03vTn9O708/T59P/1B/UP9Rj1IPUq9TT1QPVO9Vz1a/V39YD1hfWH9Yj1ifWL9Y/1lfWb9aH1p/Wu9bf1wfXN9dn15PXt9fP1+fYA9gr2GfYr9kH2V/Zr9n32jPaZ9qT2r/a39r32wPbA9r72vPa99sD2xvbN9tX23fbk9ur28Pb39v33BfcN9xX3H/cq9zb3QvdO91f3Xvdi92T3Zfdm92b3Zvdm92X3ZPdi92D3XfdZ91P3S/dD9zv3NPcw9y33LPcr9yn3Jvck9yT3J/cr9zH3Nvc59zz3PvdE9073Xvdz94z3qPfE99/3+/gV+C74Q/hV+GP4bfhz+Hb4d/h1+HD4avhl+GP4aPh2+I34qvjJ+Ob4/vkR+SH5L/k9+U75X/lx+YD5jfmY+aH5q/m0+b35xvnO+db53vno+fT6BPoW+ir6P/pW+m76hfqb+q36uvrA+r/6uvq2+rX6vPrK+t769fsM+yD7MvtD+1P7ZPt4+4z7ofu2+8r73fvx/Ab8Hfwz/En8XPxs/Hj8gvyL/JT8n/yt/L38z/zl/Pz9Ff0u/Ub9Xf1x/YP9k/2j/bL9w/3T/eT98/4A/g3+Gv4q/jz+U/5s/ob+n/62/sv+3f7v/wL/F/8w/0v/af+H/6X/w//hAAAAHgA+AF0AewCYALIAywDjAP0BGwE/AWkBlgHDAe8CFQI2AlMCcQKRArYC3wMLAzgDYwONA7YD4AQMBDwEbAScBMgE8AUTBTIFTgVpBYQFngW4BdIF7QYKBigGSAZnBoQGmwatBrkGwAbEBskGzwbXBuMG8QcABxAHHwcsBzgHRAdRB2IHeQeVB7QH0AflB+8H7QfiB9MHxgfAB8QHzgfbB+gH7wfzB/QH9gf6CAIIDAgWCB0IIAggCB4IHQgeCCMIKwg2CEIITQhVCFcIUAhACCcICwfxB+EH2wfgB+oH8gfwB+MHywewB5YHggd3B3EHbQdoB2MHYQdmB3QHiQeeB60HrgehB4sHdAdkB2EHagd6B4kHkQeRB4wHiAeJB5MHpQe7B9EH5gf3CAUIEQgZCB4IHAgVCAsIAQf8B/0IBAgRCB8ILgg9CE4IYwh8CJUIrQi/CMkIzgjRCNUI3wjtCP8JEAkfCSkJMAk2CTwJQglICU4JUQlSCVAJSwlCCTYJJgkSCPoI4AjBCJ8IdghFCAkHwAdpBwEGhwX6BV4EvgQtA8ADiwOdA/YEhwU3BecGfgbtBzQHWwdzB4cHoAe/B94H+wgSCCQIMgg9CEUISAhFCDwIMQgpCCcILAg0CDcIMQggCAcH7AfXB8kHxQfFB8MHvQexB6MHlgeMB4UHgAd4B2wHXQdMBz8HNgcyBzEHMActByYHHAcRBwcG/wb3Bu4G5AbYBssGvQaxBqYGnQaVBpAGiwaIBoMGfAZ0BmsGYwZfBmAGZwZyBn0GhAaGBoMGewZyBmoGZAZgBlsGVQZOBkgGRgZJBhIGHgYsBjcGPgY/BjwGNgYxBi0GKwYsBi4GMwY6BkQGUQZgBnAGfwaLBpYGnwanBrAGuwbHBtYG5gb3BwgHGQcqBzsHTQdeB3AHggeUB6YHuAfMB+AH9wgPCCkIRAheCHcIjwimCLoIzQjdCOwI+AkDCQwJFQkgCS4JPglQCWIJdQmGCZUJowmwCbwJxgnQCdcJ3AnfCeEJ5AnoCe4J9Qn9CgMKCAoMCg8KFAobCicKNwpKClsKaApuCm4KaAphCl4KYgpuCoEKmQqyCsgK3QruCv4LDQsaCyYLLws3Cz4LRgtQC10LaQtyC3YLdAtuC2YLYAteC2ELaAtxC3wLiAuXC6kLwAvaC/MMCwweDC4MPQxMDFwMbQx9DIoMlAycDKIMqgy1DMAMywzTDNcM2wzgDOoM+Q0NDSMNNg1EDU4NVQ1dDWgNdw2IDZcNog2nDaYNpA2iDaINpA2nDacNpg2jDaANng2fDaENog2iDZ8NmQ2RDYoNgw18DXMNaA1ZDUcNMw0hDRINBw0ADPwM+gz4DPcM9QzzDPIM8QzxDPEM8wz1DPgM+wz+DP4M/Qz7DPgM9QzxDOwM5QzcDNMMyQzCDL4MvgzADMQMxwzKDMwMzgzRDNYM3AzfDN8M3AzXDNAMygzEDL4MtQyoDJYMgAxqDFUMQww2DCwMJAwdDBYMEQwPDBAMFAwZDB4MIQwjDCYMKgwwDDcMPQw+DDkMLgwfDA0L+wvqC9oLyQu2C6QLkguCC3ULaAtcC0sLNwsgCwkK9grrCuoK8Ar5CwILBwsHCwIK+gryCusK6ArnCukK7ArvCvEK7wroCtsKxwquCpEKdApYCj0KJQoNCfcJ4wnTCccJwAm8CbkJsQmiCYsJbglPCTIJFwj/COUIwQiPCEoH8weOByIGuQZXBgIFuQV7BUUFFgTsBMUEowSFBGsEUwQ+BCgEEgP6A+EDyAOwA5gDgANnA04DMwMXAvkC2QK3ApQCcQJOAi0CDgHzAdoBwQGpAY4BcAFQAS8BDQDtAM0ArgCPAG8ATQArAAj/5v/G/6b/h/9n/0b/JP8D/uT+yf6x/pz+if52/mD+Rv4p/gf94/29/Zn9d/1a/UL9MP0j/Rj9D/0E/Pb85fzQ/Lf8m/x9/F78Pvwf/AL75vvL+7H7l/t8+2D7Q/sk+wX65vrI+qr6jPpu+k/6MPoR+fP51vm5+Z75g/lo+Uz5L/kP+O/4zfit+I34cPhU+Dr4IPgG9+z30ve49573hfdt91T3Pfcl9w72+fbj9s72uPah9on2b/ZW9j72KfYV9gP18vXi9dH1v/Wu9Zz1i/V69Wn1VvVD9TH1IPUQ9QP09/Tr9N30zfS69KX0j/R59GT0UPQ/9C/0IfQU9Anz//P28+3z4/PY88vzvvOw86TzmvOS84zzhvOA83nzcfNq82XzYfNg82HzY/Nk82TzYvNf81zzWfNW81TzUvNS81LzVPNY813zYvNl82bzZPNf81rzWPNZ81/zavN384TzkfOe86nztPO/88nz1PPd8+bz7/P59AP0DPQU9Br0HfQe9CD0JfQt9Dn0RfRQ9Fb0WfRY9Fb0V/Rb9GP0bfR59Ib0lPSj9LL0wfTO9Nf02/Tb9Nj01fTQ9Mn0vfSq9I70bfRO9DX0KfQs9Dj0R/RR9FH0RfQz9CH0FfQU9Br0IvQj9Bbz+PPJ843zTfMQ8tryrvKL8nDyW/JJ8jfyJPIP8ffx3fHC8abxi/Fy8VzxSPE18SDxCfDt8M3wqvCG8GPwQvAn8BHwAe/17+rv3u/O77nvn++D72bvTO817yPvEu8C7vDu2u7D7qvulO6C7nLuZO5X7knuO+4u7iLuGe4S7g3uB+4A7fft7e3j7dvt1e3Q7c3tyu3I7cjtyu3O7dXt3e3k7ert7u3w7fPt+O3+7gTuCu4P7hPuFu4a7iDuJ+4v7jfuPu5F7kvuU+5c7mbucu5+7orule6f7qnus+677sLux+7K7szuze7P7tXu3e7p7vbvBO8R7xzvJe8u7zXvPO9F707vWe9m73Lvf++K75XvoO+q77bvw+/T7+Xv9/AJ8BrwKPA18EDwSvBU8F/wa/B48IbwlfCl8LXwxfDW8Ofw+fEM8SDxNfFI8VnxaPF18YHxjfGa8anxufHK8dzx7fH+8g7yH/Iv8j/yT/Je8mzyefKI8pfyp/K38sfy1fLj8vDy/PMI8xTzIvMv8zvzSPNS81zzZfNs83LzePN984PzifOQ85fznvOk86nzrfOw87PzufO/88jz0PPZ8+Dz5fPq8+3z7/Py8/Xz+fP99AL0BvQL9BD0FvQb9CL0KfQy9Dr0Q/RL9FH0VvRZ9Fz0X/Rh9GP0ZvRo9Gn0bPRv9HX0ffSH9JL0nvSp9LL0uvTB9Mf0zfTT9Nj03vTl9O30+PUF9RT1JPUz9UD1SvVS9Vj1XvVl9W71d/V/9Yf1jvWV9Zz1pPWs9bL1tvW39bX1s/Wz9bj1wvXR9eT1+fYO9iP2NvZJ9lv2bPZ79of2jfaP9o/2jvaO9pH2lvae9qb2r/a29rz2wfbG9sv20PbW9t725/by9v33CfcT9xv3Ifcm9yr3Lvcz9zf3O/c89zv3Ofc39zX3M/cy9y/3Kvcj9xv3E/cO9wz3DPcP9xT3Gfce9yP3J/cs9zD3Mvcy9zH3MPcx9zX3PPdI91b3Z/d695H3qffE9+D3/PgW+Cz4PvhL+FT4Wvhc+Fv4V/hR+E74T/hW+GX4eviS+Kr4v/jR+OD47/j++RD5I/k3+Ur5W/lq+Xf5hPmQ+Zz5pvmw+bj5v/nH+dH53Pnq+fv6D/om+j/6W/p1+oz6nfqm+qj6p/ql+qf6sPq/+tP66Pr8+w37G/so+zj7Svtg+3f7jfui+7T7xfvX++r7//wX/C78RPxW/GX8cfx7/Ib8kvyf/K78wPzS/Ob8+/0R/Sf9O/1O/WD9cP2B/ZL9pP23/cn92/3s/fz+C/4c/i/+RP5a/nH+hv6Z/qv+vP7P/uT+/f8Y/zX/VP9z/5H/r//O/+0ADwAxAFIAcgCOAKcAvADSAOoBCQEvAV0BjwHBAe4CFAIyAksCYwJ/AqACxgLvAxgDPgNiA4UDrAPXBAoEQQR5BK8E3wUHBSgFRQVhBXwFmAW1BdIF7wYLBiYGQgZdBngGkAalBrUGwAbHBswG0QbZBuQG8gcCBxMHIwcxBzwHSAdXB24HjQe0B98IBggjCDIILwggCAoH8wfjB9wH3AfgB+UH6AfqB+wH8Af4CAIIDAgUCBcIFQgRCA0IDQgTCB8IMAhECFYIZAhoCGEITggxCA4H7AfRB8IHvwfCB8UHvwesB40HZwdFBy0HIgciByYHJAcXBwAG5QbNBsAGwAbIBtEG1AbOBsIGuQa7Bs4G8gciB1YHhAenB78H0QfgB/EIBQgaCC0IOwhDCEYIRAg/CDYIKQgZCAcH+AfuB+wH8wgBCBUILQhGCGAIfAiYCLIIxwjWCN8I4gjjCOcI7wj8CQ0JHgksCTYJPQlBCUQJRwlJCUsJSglGCUAJOQkvCSQJFgkDCOkIxgiYCF8IHAfOB3YHFwavBj8FxQVFBMQETgPxA74DwwQDBHsFFwXBBl8G3gc1B2kHhAeTB6EHtQfOB+kIAggXCCcINQhACEkITQhNCEgIQgg8CDoIOwg8CDgILAgXB/0H4QfKB7kHrQekB5oHjQd9B2wHXgdVB08HSgdCBzcHJwcWBwYG+gbxBusG5QbeBtUGywbCBroGtAauBqgGoAaXBowGgAZ0BmgGXgZVBk4GSgZHBkUGQgY+BjYGLgYnBiQGJQYrBjQGPAZCBkQGQwZABjwGOAYzBisGIgYXBg4GCQYKBekF8gX9BgcGDwYUBhUGFAYTBhIGEQYRBhMGFgYdBigGNQZGBlcGZgZ0Bn4GhwaQBpoGpQa0BsQG1QbnBvoHDQcgBzQHSQdeB3QHiQeeB7QHyQfgB/kIEggtCEgIYwh9CJcIrwjFCNkI6gj5CQUJDgkVCRwJJAkuCTwJTAleCXAJggmSCaEJrgm6CcUJzwnXCd0J4gnkCeUJ5gnnCeoJ7QnxCfQJ9wn7CgEKCQoVCiMKMgo/CkYKSApFCj8KOgo7CkMKVAprCoUKnQqxCsAKzArXCuIK7wr9CwsLFgsfCycLLws4C0ILSwtSC1ULVAtQC0sLSAtJC04LVQteC2cLcgt/C48Lowu5C9AL5Qv3DAgMGAwoDDoMSwxbDGkMcwx7DIMMjAyWDKIMrAyzDLgMvAzCDM0M3QzxDQQNFQ0hDSgNLQ0zDT4NTA1bDWkNcw13DXgNdw13DXkNfA1+DX0Neg10DXANbg1vDXQNeA16DXcNcA1lDVkNTg1DDTgNLQ0hDRQNBwz8DPMM7AzoDOUM4QzdDNgM0wzPDMwMygzJDMkMygzNDNAM1AzWDNcM1QzRDM0MyAzDDL8Mugy1DK4MpwyiDJ8MnwyjDKcMrAywDLMMtQy4DLwMwQzEDMUMwwy+DLcMrwymDJwMkgyFDHUMZAxRDEAMMQwmDBwMFQwPDAkMBQwDDAIMBAwHDAkMDAwODBEMFgwdDCMMJwwnDCEMFQwEC/EL3gvMC7oLqguZC4gLdwtnC1cLRws1Cx8LBgrrCtEKvAqtCqYKpgqrCrEKtgq4CrgKtwq2CrcKugq9CsEKwwrBCr0KtAqnCpYKggprClQKPQonChEJ/AnoCdYJyQnCCcAJwgnFCcIJtQmcCXgJTQkiCPwI3gjJCLYInQh4CEAH9AeYBzIGywZpBhIFyAWKBVYFKAT/BNkEtQSUBHQEVgQ4BBsD/QPgA8QDqAOPA3gDYQNMAzUDGwL/At8CuwKVAm0CRgIgAf4B4AHHAbABmQGCAWcBSQEnAQMA3wC8AJsAfABeAEAAIQAC/+H/wf+g/4H/Yf9C/yL/Af7g/sH+pP6K/nP+Xv5J/jP+Gv38/dz9uv2Y/Xn9Xv1J/Tj9Kv0f/RT9B/z5/Of80/y9/KT8iPxs/E78MPwS+/X72fu/+6T7ifts+077LvsO+u76z/qy+pb6e/pf+kL6JPoE+eT5xfmn+Yr5bvlT+Tb5F/j2+NT4sfiQ+HL4Vfg6+CD4Bffq9833sfeW9333ZfdP9zj3IfcJ9vD21/a/9qf2kPZ59mH2SvYy9hv2BfXy9eH10vXC9bP1ovWR9YD1bvVd9Ur1OPUk9RH0//Tv9OH01vTL9L/0svSh9I70evRk9E70OvQm9BT0A/P08+bz2/PQ88bzvPOw86PzlfOH83nzbvNl813zVvNP80bzPfM08yzzJ/Ml8yXzJvMo8yjzKPMm8yTzIfMf8x7zHPMb8xvzHPMf8yTzKfMs8y3zK/Mn8yLzHvMe8yHzKPMy8z3zSfNU81/za/N484Pzj/OY86HzqvO087/zy/PV897z4vPk8+Xz5/Pt8/b0AvQO9Bb0GvQa9Bj0F/QY9B30JvQx9D30S/Ra9Gv0e/SL9Jj0ofSl9KT0ovSd9Jf0jvR/9Gn0TPQr9A3z9vPt8/Dz/fQM9Bf0GPQP8//z7fPf89jz2fPd8+Hz3PPM867zg/NQ8xfy3/Kr8n3yWPI78iTyEPH98efxz/Gy8ZTxdfFY8T/xKfEW8QTw8PDZ8L3wnPB48FPwMPAS7/nv5+/a78/vw++076Hvie9u71LvOO8g7wru9u7i7szutu6h7o3ue+5s7l7uUO4/7i3uGu4J7frt8e3s7ent5u3h7drt0O3G7b3tte2v7avtp+2k7aPto+2m7avtse237b3tw+3I7c7t1O3a7eDt5e3o7ent7O3v7fXt/O4F7g/uF+4f7ibuL+457kbuU+5g7mzud+5/7ofuj+6W7p3uou6m7qfup+6o7qzutO7B7tHu4+707wTvEe8c7yXvLe807zvvQu9J71DvWO9h72vvdu+C74/vnu+u777vz+/g7+/v/vAL8BfwIvAs8DjwRPBT8GPwdfCG8JfwpfCx8L3wyvDY8Onw+/EP8SLxM/FC8VDxXfFr8XnxiPGY8ajxuvHL8d7x8PID8hTyJPIz8kDyTPJZ8mfydfKD8pLyoPKt8rryxvLS8uDy7fL78wjzFfMg8yvzM/M68z/zQ/NG80nzTfNS81jzXfNj82jzbfNx83fzffOE84zzlfOd86TzqvOw87XzuvO/88TzyfPM88/z0fPS89Tz1/Pb8+Dz6PPx8/v0BfQO9Bb0HPQg9CP0JvQp9C30MfQ09Db0OPQ59Dv0P/RF9E70WPRj9G30d/R/9Ib0jPSS9Jj0nvSk9Kr0svS79Mb00/Tf9O30+vUH9RP1IfUu9Tz1SfVU9V/1afVz9X71iPWR9Zf1mvWY9ZX1kPWN9Yz1j/WW9Z71p/Wx9b31y/Xd9fL2CvYh9jb2R/ZT9lr2X/Zj9mj2bfZ09nr2gPaF9or2jvaR9pX2mfae9qX2rva49sP2zvbY9uD25vbs9vL2+Pb/9wX3CfcL9wr3B/cE9wL3AvcE9wX3BfcC9v329/bz9vD28vb29vz3A/cK9xH3Fvcb9x/3Ivcl9yb3KPcq9y33MPc19zr3QvdN91v3bfeD95r3svfJ99337vf9+Ar4F/gi+Cz4M/g3+Dv4P/hG+FD4X/hv+ID4kPid+Kn4tfjD+NP45fj4+Qz5H/kx+UL5U/lj+XP5gvmQ+Z75qvm1+cD5yvnV+eH57vn/+hT6LPpG+l/6c/qC+ov6j/qT+pr6pPq0+sf62vrs+vv7CfsW+yb7OPtM+2D7cft/+4n7kvub+6j7uvvP++j8APwX/Cv8PvxP/F/8cPyC/JT8p/y7/M/84/z4/Qz9Hv0v/T/9Tv1e/W/9gf2W/az9wf3V/ej9+v4M/h7+Mf5E/lb+af57/o3+of63/tD+6/8J/yj/Rv9l/4P/of/A/+EAAwAmAEgAZwCDAJsAsQDHAOEBAwEtAV4BkgHGAfMCGAI0AksCYQJ5ApcCugLgAwUDJgNGA2QDhgOvA+EEGARUBI0EwQTvBRUFOAVaBX0FoQXFBeYGAgYaBi4GQQZTBmgGfgaVBqsGvgbMBtcG3wbnBvEG/QcNBx4HMAdAB08HXgdvB4QHnwfAB+QIBQggCDEINQgxCCcIHAgSCAsIBggBB/sH8gfqB+QH4gflB+sH8gf5B/4IAggGCA4IGggrCD0ITwhdCGMIYAhTCDsIGgf1B9IHtgemB6MHqQexB7IHpQeHB10HMwcVBwoHFgcwB0sHWgdSBzEG/gbEBpEGawZVBkgGQQY6BjUGNwZIBmwGpAbrBzYHfAe1B+EIAQgbCDQITghnCHsIiAiKCIMIcwheCEYILggXCAMH9QfuB+8H+wgOCCkIRwhoCIkIpwjACNII2wjdCNoI1QjTCNcI5Aj4CQ8JJgk3CUEJRglGCUQJQwlDCUIJPwk6CTIJKAkeCRIJBQj1CNwItwiACDcH2gdsBvMGcwX0BXsFCgSnBFcEHgQGBBUETwSzBTYFyQZbBtkHOAd2B5YHpAeqB7IHvwfSB+cH+ggLCBkIJAgtCDUIOwg9CD4IPAg6CDcINAgtCCEIDgf2B90HxAexB6IHlgeLB3wHawdWB0IHMgcmBx4HGQcSBwkG/QbvBuEG1AbKBsAGtQaqBp4GkQaGBn0GdgZyBm4GagZlBl8GVwZMBj8GMQYjBhkGEgYQBhEGFAYUBhEGCwYBBfgF8gXxBfQF+gYCBgkGDwYTBhUGFQYRBgsGAgX3Be0F5wXlBdcF2wXhBeYF6wXuBfAF8QXzBfUF9wX6Bf4GBAYNBhkGKQY6BkwGXAZrBncGgQaLBpUGogaxBsEG0wbnBvsHEAcnBz8HVgduB4UHmweyB8kH4Qf6CBQILwhJCGMIfAiVCK0IxAjbCPEJAwkRCRsJIgkmCSoJMAk5CUUJVAlkCXUJhQmTCaAJqwm1Cb8JyAnQCdYJ2wnfCeEJ4gnjCeQJ5QnmCegJ6wnwCfgKAgoOChkKIQokCiMKHQoXChQKFwolCjoKVQpyCooKmwqlCqkKrAqyCrsKygrbCu0K+wsGCw8LFgseCycLLws1CzkLOAs2CzMLMgs1CzoLQwtMC1YLYAtsC3sLjAueC7ELxAvWC+YL9gwHDBgMKAw3DEMMTQxVDF0MZwxyDH4MigyTDJsMowysDLoMygzdDO4M+w0DDQgNDA0SDRsNJg0zDT0NRA1HDUkNSg1MDVENVQ1XDVcNUg1NDUkNRw1JDU0NUQ1RDUsNQQ00DSYNGQ0ODQUM/AzzDOoM4gzaDNMMzgzJDMMMvQy2DK8MqgymDKMMogyiDKIMowymDKkMrQywDLEMrwysDKYMoAybDJgMlQySDI8MjAyJDIgMiAyLDI8MkwyXDJkMmwydDKEMpgyqDK0MrAyoDKAMlgyKDH4McgxmDFoMTgxBDDMMJgwaDA8MBQv8C/UL8AvuC+4L8Qv1C/oL/wwCDAUMCAwLDA0MDQwJDAEL9QvlC9MLwAuvC54Ljgt/C3ALXwtNCzoLJQsNCvMK2Qq/CqgKlQqICoEKfQp8CnwKewp6CnkKegp+CoMKiQqOCpAKjQqFCngKZgpSCj8KLAocCg4KAgn2CegJ2QnKCbwJsgmtCa4JsQm0Ca8JoAmECV4JMAkCCNkIuAifCIgIbQhICBIHywd2BxgGuAZdBg0FyAWQBWEFOAUTBPAEzASpBIUEYgRABB4D/APcA7wDnAN+A2IDSAMvAxcC/gLiAsICngJ3Ak4CJAH7AdcBtwGcAYUBcQFcAUQBKAEHAOIAvACVAHAATwAwABP/9//a/7v/nP97/1r/OP8X/vf+1v63/pn+ff5k/k7+OP4j/g398/3W/bj9mP17/WL9Tv0//TP9Kv0g/RP9BPzx/Nz8xfys/JP8ePxc/D/8IPwC++T7x/ur+5D7c/tV+zX7E/rx+s/6r/qS+nb6XPpD+in6Dfnv+c/5r/mP+XH5U/k2+Rn4+fjZ+Lb4lPhz+FT4N/gb+AD35PfH96n3jPdw91j3Qfct9xj3A/br9tL2t/ad9oT2a/ZU9jz2JPYN9fb14PXN9bv1rPWd9Y71fvVt9Vz1S/U69Sj1FvUD9PD03fTM9Lz0rvSi9Jf0i/R89Gz0W/RI9DX0IvQP8/zz6fPX88fzuPOq85/zk/OI83vzbfNe80/zQvM48y/zKfMi8xvzEvMJ8wDy+fL08vLy8vLy8vLy8vLx8vDy7/Lu8u3y7fLs8uvy7PLu8vHy9fL48vny+fL28vLy7/Lu8u/y8/L58wDzCfMT8x/zK/M480TzTvNX81/zZ/Nw83zzifOU853zofOi86HzofOm87DzvvPN89nz3/Pg893z2fPW89fz3fPn8/P0AvQS9CP0NvRJ9Fv0afRy9Hb0dfRy9G30ZfRY9Eb0LfQO8+3z0fO987bzuvPI89fz4vPk89zzy/O286TzmPOT85TzmPOY85Dze/Na8y3y+fLC8o3yX/I48hryAvHt8dfxvfGf8X7xW/E68R3xBPDx8OHw0vDB8Kzwk/B28FXwMvAQ7/Dv0u+476HvjO9372PvUO887yrvF+8F7vHu2+7D7qruku577mjuWO5L7j/uMu4i7g/t/O3p7drt0O3L7cjtxe3B7bvts+2r7aTtnu2Z7Zbtk+2Q7YztiO2F7YPtgu2D7YXtiu2S7Zztp+2y7bvtwu3F7cftye3M7dLt2e3h7ejt7e3w7fTt+u4E7hHuIu407kXuVO5f7mjucO537n7ug+6H7onuiu6L7o7ulO6e7qvuu+7N7t7u7+7/7w3vGu8l7y7vNO837zrvPO9A70bvT+9b72jvde+C747vm++p77fvx+/W7+bv9PAD8BHwIfAy8ETwV/Bp8HnwhvCQ8JjwoPCq8LbwxfDX8Onw+/EN8R7xL/E/8U7xXfFr8XrxifGa8avxvvHR8eTx9vIF8hPyIPIr8jfyQ/JQ8lzyaPJ08oDyjPKZ8qbys/LA8szy2PLi8uzy9fL88wLzCPMM8xDzFPMZ8x3zIfMm8yrzLvMz8znzQPNI81DzV/Ne82TzavNw83bzfvOG847zlPOZ85zznfOe857zoPOi86bzrPOz87zzxfPN89Xz2/Pf8+Tz6PPt8/Pz+fP+9AH0A/QD9AP0BPQG9Ar0EfQZ9CH0KvQy9Dr0QfRJ9FD0WPRf9Gb0bvR29H/0ivSX9KX0tfTF9Nb05vT09QH1DPUW9SH1LfU69Ur1WvVo9XT1fPWB9YL1gvWC9YH1gfV/9Xv1dfVw9Wz1bfV19YT1mfWx9cr14fX29gj2GPYl9jL2PPZF9kv2UPZU9lf2W/Ze9mH2ZfZp9m72dfZ+9oj2k/ad9qb2rva19rz2w/bK9tD21PbV9tP20PbM9sv2zPbP9tT22Pba9tr22PbX9tf22fbd9uL26Pbu9vP2+Pb99wL3B/cM9xH3FfcZ9xz3Hvch9yX3K/c090H3Uvdk93j3ifeZ96X3r/e598P3z/fc9+r39/gD+A34F/gi+DD4P/hP+F/4bvh6+IT4jfiX+KT4s/jE+Nf46vj9+RD5Ivk0+Uf5Wfls+X75kPmi+bL5v/nK+dT53fnn+fT6BfoY+iz6P/pP+lz6Zvpw+nv6ivqc+rD6xPrX+uf69/sG+xb7KPs5+0f7UvtX+1n7Wftb+2P7cPuE+577ufvV+/H8Cvwj/Dr8UPxl/Hn8jfyh/LX8yvze/PH9A/0T/SH9Lv08/U39YP11/Yz9o/25/c794f3y/gP+FP4m/jj+S/5f/nX+jf6n/sP+4f7//x7/PP9a/3f/lv+2/9f/+QAcAD0AXAB5AJMArQDIAOcBCwE1AWUBlgHGAfACEwIwAkgCYAJ7ApwCwALmAwoDKwNHA2IDfgOgA8oD+wQxBGgEnQTOBPsFJgVRBX0FqQXTBfgGFgYtBj4GTAZZBmoGfQaTBqsGwAbSBuAG6gbyBvkHAwcQByEHMwdGB1kHawd8B40HngevB8EH0gfhB+0H9gf8CAEIAwgCB/8H9wfrB90HzgfCB7sHuge/B8kH1QfkB/UICggjCD8IXQh4CIwIlAiPCHwIXgg5CBAH6AfGB60HogemB7YHzQfhB+gH3gfBB5kHdAdfB2UHiAe+B/kIJQg0CCIH8QewB2wHMQcFBugG1AbGBr0GuwbFBt4HBQc2B2gHkwexB8QH0AfcB+8ICggrCEsIZAhwCG0IXAhECCoIFQgHCAMIBwgSCCEIMwhHCF4IdwiSCKwIxAjXCOAI4AjWCMgIuwi1CLoIzAjnCQYJJAk6CUYJSQlHCUIJPgk9CTwJOgk1CSwJHwkQCQAI8QjgCMoIpwhxCCMHuwc6BqoGEwWDBQUEoQRfBEAERARrBLAFDwWBBfwGdQbgBzYHcgeUB6MHpgelB6cHrge5B8YH0wfeB+YH7AfxB/UH+Qf9CAAIAwgECAIH/AfxB+AHyQewB5cHggdzB2cHXgdTB0UHMwceBwgG9gboBt4G1wbQBskGwQa4BrAGqAagBpgGjgaCBnQGZgZYBkwGQwY9BjkGNwY1BjMGLQYkBhcGBwX3BeoF4QXfBeIF6AXsBe0F6QXfBdQFygXFBcQFxwXOBdYF3QXjBecF6QXpBecF4wXeBdkF1gXVBc0F0AXSBdQF1QXWBdcF2QXdBeEF5gXsBfIF+wYFBhIGIgYzBkQGVQZlBnMGgQaOBp0GrAa9Bs8G4wb4Bw8HJwc/B1gHcQeIB58HtQfLB+MH/AgWCDIITAhmCH0IlAiqCMEI2AjvCQUJGAkmCS8JNQk3CTkJPglFCU8JXQlrCXkJhQmQCZkJoQmpCbEJuQnBCckJ0AnVCdoJ3QnfCeAJ4QniCeQJ6AnuCfUJ/AoCCgUKBAn/CfkJ8wnxCfcKBwoeCjwKWQpyCoMKigqJCoYKhAqJCpQKpwq8CtEK4wrxCvsLAwsKCxILGQsfCyELIAsdCxoLGQsbCyILKgs1C0ALTAtYC2ULdAuDC5QLpAuzC8IL0QvhC/EMAQwPDBwMJwwxDDsMRgxRDF0MaAxzDH4MigyXDKcMuAzIDNcM4QzoDOwM8Qz3DQANCg0UDRsNIA0hDSINIw0nDSsNMA0yDTINLw0sDSkNKQ0qDSsNKQ0kDRoNDQz/DPMM6gzkDOAM3AzWDM4Mxgy9DLUMrQymDJ0MlQyNDIcMgwyBDIAMgAyBDIAMgAyADIEMhAyHDIoMigyIDIQMgAx8DHkMeAx4DHcMdwx2DHUMdQx3DHkMfAx+DIAMggyFDIkMjwyWDJsMnAyZDJEMhQx4DGoMXgxUDEoMQAw1DCkMHAwODAEL9AvqC+IL3AvaC9wL4AvmC+0L8wv3C/gL9wv0C/AL6wvkC9oLzwvAC7ALnwuOC34LcAtjC1YLRws3CyMLDAryCtgKvgqoCpcKiwqDCn0KeQpyCmsKYQpYClEKTQpOClIKVwpaCloKUwpGCjMKHQoGCfIJ4QnVCc0JyQnECb4JtAmpCZwJkgmKCYYJhAmCCX0JcAlaCTwJGAjxCMwIqAiHCGQIPQgOB9QHjgdABu0GmQZKBgMFxgWSBWYFPwUbBPcE0gSsBIYEYAQ8BBoD+APXA7YDlANxA08DLwMPAvIC1QK4ApgCdgJPAiYB+wHQAakBhwFqAVMBQAEuARsBBADnAMUAoAB5AFMAMAAR//X/2//A/6P/g/9f/zr/FP7u/sr+qP6I/mv+Uv48/ij+Fv4D/e/91/27/Z39f/1j/Uz9O/0v/Sf9H/0W/Qn8+Pzj/Mz8s/yZ/H/8Y/xG/Cf8B/vm+8b7p/uK+277Ufs1+xb69vrV+rP6kvpy+lX6O/oi+gj57vnS+bP5k/ly+VL5MvkU+Pb41/i3+Jb4dPhS+DL4FPf299r3vveh94T3aPdO9zX3H/cL9vb24fbK9rH2l/Z99mT2TPY09hv2AvXo9c/1t/Wh9Y71fvVv9WD1UPU/9S31G/UK9Pn06fTY9Mj0tvSm9Jb0h/R59Gz0XvRQ9EH0MfQg9A/z/vPt89vzyfO286PzkvOD83bzavNe81HzRPM18ybzGPMM8wPy/PL28u/y5/Le8tXyzvLI8sTyw/LC8sLywfLA8r7yvPK78rvyu/K88r7ywPLC8sXyyPLK8sryyfLH8sTywfLA8r/ywfLF8sry0vLb8uby8vL98wfzDvMU8xnzIPMo8zTzQfNN81bzWvNZ81fzVvNa82bzdvOI85nzo/Ol86HzmvOU85HzlPOc86jzt/PI89vz8PQF9Br0LfQ79EP0RfRD9D70N/Qs9B30CPPu89Hzs/Oa84rzhvOL85jzpfOt863zpPOU83/zbfNf81fzVPNT81DzRfMx8xLy6fK78ozyYPI68hvyAvHs8dXxvPGd8XvxVvEy8RDw9PDe8Mzwv/Cz8KbwlvCC8GnwSvAl7/vvzu+g73TvTO8q7xDu/e7x7uru5O7d7tLuwe6r7pDudO5a7kPuMO4i7hbuC+3/7fLt4+3U7cftu+2y7arto+2d7Zbtke2M7YntiO2H7Yfthe2C7X3tdu1t7WPtWu1T7U/tUe1Z7Wbtdu2H7Zbtoe2n7artre2w7bXtu+3B7cXtx+3H7cbtye3R7d/t8u4I7h3uMO4+7knuUe5Y7l7uZO5p7m3ucO5y7nXuee5/7ojuku6f7q3uvu7Q7uTu+O8K7xnvI+8p7yzvLe8v7zPvOu9C70vvU+9b72Lvae9z74Dvj++h77Tvxu/X7+jv+fAL8B3wMfBD8FTwYvBt8HfwgPCJ8JPwn/Cu8L3wzvDg8PLxBfEX8SfxNvFE8VHxXfFr8XnxivGc8a/xwfHR8eDx7fH58gTyD/IZ8iTyL/I68kfyVPJh8m7ye/KH8pLym/Kj8qrysfK48r/yxvLN8tTy2/Lh8ufy7PLw8vTy9/L88wHzB/MO8xXzG/Mh8yXzKvMw8zfzP/NI81HzWfNe82LzZPNl82fzafNr82/zc/N4837zhPOK85DzlvOc86LzqPOu87Xzu/PC88fzyvPL88zzy/PL883z0PPV89zz4/Pr8/Pz+/QC9Ar0EvQa9CL0K/Q29EH0T/Rf9HD0g/SV9KX0s/S+9MX0zPTS9Nv05/T39Qr1H/Uy9UP1UPVb9WP1avVw9XT1dvVz9Wz1YPVS9UP1OfU09TX1PfVJ9Vn1a/V/9ZX1rfXF9dz18fYC9g/2GPYg9iX2K/Yw9jX2OfY89j72QvZH9k/2WfZk9m72ePaB9oj2kPaW9pz2n/ah9qD2nvac9pv2nPaf9qT2qvau9rL2tPa29rj2vPbA9sT2yfbN9tH21fba9t/25Pbq9u728/b29vr2/vcD9wv3Fvcl9zf3S/dg93L3gveO95X3mvee96L3p/eu97b3v/fJ99P33/fu+AH4Ffgq+D/4UPhe+Gn4c/h8+Ib4lPik+LX4yPjb+Oz4/fkO+R35LvlA+VP5Z/l8+ZD5ovmx+b35x/nP+dn54/nw+f/6Dfoc+in6NvpE+lX6aPp8+pL6p/q6+sv62/rq+vv7C/sb+yj7Mfs2+zf7OPs6+0L7T/tj+337mfu3+9T78fwM/CX8O/xQ/GP8dfyG/Jn8rPzA/NP85fz1/QP9Ef0f/S/9Qv1Y/W/9h/2d/bL9xf3X/en9+/4O/iL+N/5N/mX+f/6b/rf+1P7x/w7/Kv9H/2b/hv+n/8j/6gAMACwASwBpAIcApgDGAOgBDgE2AWEBjAG1AdwB/gIdAjoCWQJ7AqECygLzAxoDPQNaA3MDiwOlA8UD6wQXBEcEeASpBNoFCQU5BWgFlwXDBewGEAYuBkgGXQZwBoIGlAalBrYGxQbSBt0G5QbtBvYHAAcNBx0HLwdDB1cHaQd4B4IHhgeGB4MHfgd6B3cHdwd5B3sHfAd5B3MHagdhB1sHXQdnB3sHlge0B9IH7wgMCCkISwhwCJgIvgjaCOcI4gjKCKMIcwhCCBUH8AfXB8sHzQfdB/cIFggxCEEIPggqCAwH8AflB/YIJghuCMAJCQk5CUkJOgkUCOUIuQiWCH0IawhbCEoIOQgqCB8IFwgPCAAH5wfCB5YHawdOB0cHWQd+B60H2gf6CAgIBgf5B+0H6gf0CAwILAhPCGwIgAiKCI4IkQiWCKAIrwi/CMoIzgjJCL4IsgirCK4IvQjXCPUJEwkpCTYJOQk3CTEJLgktCS0JLgkqCSEJEgj+COkI1AjACKkIighcCBcHuAdABrYGJQWcBSoE2QSxBLIE2AUbBXEF0AYvBocG0wcOBzkHUwdiB2cHaAdpB2wHcgd5B4EHiAeNB5EHkgeTB5QHlgeYB5wHnweiB6EHnAeQB34HaAdQBzkHJQcXBwwHAwb6Bu4G4AbPBr8GsAakBpsGkwaLBoMGfAZ1BnAGbAZpBmQGXwZXBkwGQAYzBicGHAYUBg4GCgYHBgQF/wX4BewF3gXPBcIFuQW2BbgFvAXBBcIFwAW6BbIFqwWnBaYFqQWtBbEFtQW3BbkFugW7Bb0FvwXCBcQFxwXJBbkFvgXBBcQFxgXIBckFzQXRBdYF3QXkBesF9AX9BgkGFgYlBjYGRwZZBmwGfwaSBqUGuQbNBuIG9wcNByQHOwdTB2sHgweZB68HxQfcB/YIEQgtCEoIZQh+CJUIqwjBCNcI7gkFCRoJLAk4CUAJRAlGCUkJTQlTCVwJZglwCXkJgQmICY0JkwmaCaEJqQmxCbgJwAnGCcwJ0QnUCdgJ2wneCeIJ5wnsCe8J8AnuCekJ4gnaCdUJ1QndCe0KBAogCjsKUgphCmcKZQpfClkKWQphCnEKhwqfCrYKygrYCuQK7Ar0CvsLAAsDCwMLAQr+CvsK+wr/CwULDwsaCyULMAs7C0YLUgtfC20LeguHC5QLoguwC8AL0AvhC/EMAAwODBwMKAw0DD4MSAxTDF4MbAx7DI0MngyuDLsMxAzKDM8M1QzdDOcM8gz7DQINBQ0HDQcNCA0KDQwNDQ0NDQwNCg0IDQcNCA0IDQYM/wzzDOUM1gzJDMEMvgy/DMAMwAy8DLUMrAyhDJgMjwyGDH4MdwxwDGoMZwxlDGUMZAxiDGAMXQxaDFoMXAxfDGMMZgxnDGUMYwxhDF8MXwxgDGAMYAxfDF4MXgxfDGEMZAxnDGoMbQxxDHcMfgyGDIwMjwyMDIQMeQxrDF4MUgxIDD8MNQwrDB4MEAwCC/UL6gvgC9kL1AvSC9EL0wvXC9sL3wvgC98L2gvUC8sLwwu5C68LpAuXC4cLdQtjC1MLRQs7CzILKgsfCxAK/ArkCsoKsgqeCpAKhgqBCnwKdgptCmEKUgpCCjYKLQooCigKKQoqCigKIAoTCgAJ6gnTCb4JrAmfCZcJkgmPCYsJhAl7CW8JYglWCUwJRAk+CTYJLAkfCQwI9QjYCLgIkwhrCD4IDAfWB5oHWgcXBtEGjAZJBgoF0AWcBW0FQQUYBO8ExQScBHMETAQoBAYD5gPGA6UDgwNeAzgDEgLsAsgCpgKEAmICPgIXAe0BwwGYAW8BTAEuARYBBAD0AOUA0wC8AKAAgABdADsAG//+/+T/zP+y/5X/c/9O/yT++f7P/qb+gP5d/j/+Jf4P/fz97P3c/cn9s/2a/X39YP1F/TD9H/0U/Q39Bfz8/O783PzH/K78lPx5/F38QPwh/AD73fu6+5n7eftb+0D7JvsN+vL61/q5+pr6evpZ+jr6HfoB+eX5yvmt+Y75bflL+Sn5CPjo+Mn4qviL+Gv4S/gq+An36vfM97D3lfd792D3Rvct9xX2/fbm9s/2t/af9oX2bPZT9jz2JPYM9fP12fW99aH1hvVv9Vr1SfU59Sn1GPUG9PL03/TN9Lz0rfSf9JH0gvR09GX0V/RJ9Dv0LfQf9A/z//Pu893zzfO986zzm/OJ83fzZvNV80bzOfMt8yDzE/MF8vfy6fLe8tTyy/LE8rvys/Kp8qDymPKS8o/yj/KP8o/yjvKL8ofyhPKC8oHygvKE8ojyi/KP8pLylPKV8pXylPKS8pDyjfKL8oryivKM8pHymPKh8qvytvK/8sbyy/LN8tDy1PLc8ujy9fMD8wzzEfMQ8w7zDfMQ8xvzK/M/81HzXvNj82HzW/NT807zTfNS81zzafN6843zovO4887z4/P09AD0BvQH9ATz/fP08+jz2PPE86zzkvN682bzWvNW81vzY/Ns83HzcPNp81zzTPM98y/zJPMb8xLzBvL18t7ywfKg8n3yXPI+8iTyDvH58eTxzPGv8Y/xa/FH8SXxBfDq8NTww/C18KrwnvCR8H/wZvBD8BXv4O+k72jvLu7+7tjuv+6x7qzuq+6s7qnuoe6R7nzuY+5I7i7uF+4D7fTt6O3e7dTtyu2/7bPtpe2X7Yntfe107W3tau1q7Wvtbu1w7XHtcO1u7WrtZO1b7VDtRO057THtLu0y7T3tTe1f7XDtfe2G7Yvtj+2T7Zntn+2l7antq+2q7antqu2w7bztze3h7fXuB+4V7iDuKO4v7jbuPe5E7kvuUe5W7lvuYO5l7mrub+527oDujO6d7rHux+7d7vHvAu8O7xfvHe8k7yvvMu8670DvRe9I70vvT+9V72Dvbu9+747vn++u773vzO/c7+3v//AS8CTwNfBF8FPwYPBt8HnwhfCR8J7wrPC78Mzw3fDv8P/xDvEb8SXxMPE78UjxV/Fn8XnxivGb8arxt/HD8c/x2fHj8e7x+fIE8hHyH/It8jvySPJU8l3yZfJr8nDydfJ68oDyh/KP8pfyofKq8rLyufK/8sTyyPLM8tDy1fLa8t/y4/Ln8ury7fLy8vjzAPMI8xDzFvMb8x7zIPMj8ybzK/Mw8zXzOfM980HzRfNK81DzV/Ne82bzbPNz83nzf/OE84rzj/OT85bzl/OX85fzmfOd86LzqfOy87rzwvPJ89Dz1vPd8+Xz7/P79An0GvQs9D/0UvRj9HH0e/SD9If0jPSS9Jv0qPS59M304fTz9QP1EfUc9Sf1MvU99Uf1TvVR9U/1R/U89S/1IvUX9Q/1CPUE9QT1B/UQ9SD1N/VS9W/1i/Wl9br1y/XZ9eb18vX+9gf2DvYS9hT2FfYX9hz2JPYu9jn2RPZN9lb2XfZj9mj2bPZv9nH2cvZy9nP2dPZ39nz2gfaG9ov2j/aT9pb2mvae9qH2pfap9q32sPa09rn2vfbB9sX2yvbP9tT23Pbn9vT3BPcY9y33QvdY92v3e/eI95H3l/eb9573oPeh96P3pfep96/3uvfJ99z38vgK+CD4M/hD+FD4Wvhl+HL4gfiS+KT4tvjH+Nf45Pjw+Pr5BvkT+SL5M/lH+Vv5b/mC+ZL5ofmt+bn5xvnS+d/57Pn6+gf6Ffol+jf6Svpf+nL6hfqV+qT6svrA+s/64Prx+wD7DvsZ+yL7Kvs0+0H7Uftl+3v7lPut+8b73/v2/Az8Ifwz/ET8VPxl/Hf8i/yf/LP8xvzX/Of89v0G/Rj9LP1D/Vr9cP2G/Zr9rv3C/dX96v3//hX+LP5D/lr+c/6N/qf+wv7d/vj/FP8x/1H/cv+V/7f/2f/5ABgANgBTAHEAkQCyANYA+wEhAUgBbwGWAbwB4gIGAisCUAJ2Ap8CyQLzAxwDQANgA3sDlAOtA8cD5gQJBDEEXASIBLUE4QUNBTcFYgWNBbkF5AYPBjcGXAZ8BpUGqQa1Br4GxAbJBtAG2gbmBvQHAwcSByIHMQdAB0sHVAdXB1IHRwc0BxwHAgbqBtYGxwa8BrIGqQagBpgGlQadBrQG3gcZB2AHqwfyCC8IXwiDCKAIvAjZCPYJEAkiCSQJFgj3CM4IoAh1CFAINAgiCBcIFggcCCsIPghRCF4IYAhVCEMIMgguCEIIcQi6CRAJZgmuCd0J9An2Ce4J5AndCdoJ1gnNCb0JpAmFCWEJNwkECMQIdQgYB7UHWAcQBugG5QcDBzUHbQecB7kHxAfFB8YH0gfuCBgISgh3CJcIogiaCIYIbgheCFoIZgh7CJUIqgi3CLoItwiyCLIIuQjICNwI8AkACQkJCwkHCQII/gj9CP4I/wj+CPcI6wjYCMIIqgiTCHoIXgg5CAUHwAdoBwEGlQYuBdkFoAWHBY4FsQXlBiEGWQaJBqwGwwbRBtkG3wbmBu8G+QcGBxIHHQcnBy4HNAc5BzwHPgc+Bz4HPQc8BzsHOgc4BzQHLAcgBw8G+wblBtEGvwaxBqUGnQaVBo0GhQZ+BngGcwZuBmkGYgZaBlEGRwY9BjYGMQYtBioGJgYiBhwGFAYLBgIF+QXxBeoF5AXgBdwF2AXTBcsFwQW1BaoFoAWZBZUFlAWUBZQFkwWSBZEFkQWTBZUFmAWaBZsFmgWYBZcFlgWXBZkFngWjBagFrgW0BZkFnwWlBaoFrwWzBbcFvAXCBckF0AXYBeEF6QXyBf0GCQYXBikGPAZSBmkGgQaYBrAGxgbcBvIHBwcdBzMHSgdgB3cHjQeiB7cHzgfnCAEIHQg6CFYIcgiMCKQIvAjVCO0JBQkbCS4JPQlGCUwJTwlRCVQJWAldCWIJZwlrCW8Jcgl2CXsJgQmJCZEJmQmgCaYJqwmwCbYJuwnBCccJzgnVCdsJ4AniCeEJ3AnUCcoJwQm8Cb0JxQnWCewKBAobCi4KOQo7CjgKMQosCioKLwo8Ck8KZgp9CpMKpQq0Cr8KyArPCtUK2AraCtkK2QrYCtkK3QrkCu0K9gr/CwgLDwsXCx8LJwsxCzwLRwtTC14Lawt4C4cLmQusC78L0wvmC/cMBQwQDBoMIwwtDDoMSQxbDG4MgAyQDJwMpQyrDLAMtwzADMsM1gzhDOkM7gzxDPMM9Az0DPMM8QzuDOoM5wzlDOUM5gzlDOEM1wzJDLgMqAycDJYMlgyZDJwMnQyaDJMMigyBDHkMcgxsDGYMYAxbDFYMUQxODEwMSQxGDEEMPQw7DDoMPQxBDEYMSgxMDE0MTQxMDEsMSwxLDEoMSQxHDEUMRQxHDEoMTwxTDFgMXAxhDGcMbwx2DHsMfQx6DHIMZwxaDE4MQww6DDIMKAwdDBEMBAv3C+wL5AvdC9cL0gvMC8cLwgu/C70LvAu6C7cLsQupC6ALlwuNC4MLeAtqC1oLSAs2CycLGwsUCxELDwsKCwEK8QrbCsIKqAqSCoAKdAprCmQKWwpQCkMKMwokChcKDQoGCgMKAAn+CfkJ8QnlCdUJwgmsCZcJgwlzCWcJXglYCVMJTglGCT0JMQkkCRcJCgj+CPMI6QjdCNAIvgioCIsIZwg9CA4H2gelB28HOAcBBskGjwZUBhkF3wWmBXAFPQUMBN0ErwSCBFcELwQKA+gDyAOqA4oDaQNEAx0C9ALKAqACdwJPAigCAAHXAa0BhAFbATQBEgD0ANwAyAC5AKoAmwCIAHIAWAA7AB4AAv/o/8//tv+c/37/XP81/wz+4P60/or+Yf47/hj9+v3g/cr9uP2m/ZT9gP1p/VD9N/0h/Q/9Avz5/PL86vzg/ND8vfyl/Ir8bvxQ/DL8Evvx+877q/uI+2f7SPss+xL6+vrj+sz6tPqb+n/6YfpB+iD6APnf+cD5oPmB+WD5Pvkb+Pf41Piy+JH4cvhU+Db4F/f499n3u/ee94P3afdQ9zf3H/cG9u721fa89qL2iPZt9lL2OPYf9gf18PXY9cD1pvWK9W/1VPU89Sf1FfUD9PL04PTN9Lj0o/SP9H30bfRf9FH0Q/Q19Cf0GvQN9ADz8/Pl89bzxfO086PzkvOB83LzYvNS80LzMfMf8w/y//Lx8uTy1/LL8sDytfKr8qLymfKQ8obye/Jw8mXyXPJV8lPyUvJT8lTyU/JR8k3ySfJG8kXyRvJI8kryTfJP8lDyUfJT8lTyVvJX8ljyWPJX8lXyVfJV8ljyXvJm8nDyefKC8ofyivKL8ozyj/KW8qDyrvK78sXyy/LN8svyyfLL8tPy4PLx8wPzEvMb8x7zHPMX8xHzDvMP8xTzHfMq8zvzTvNk83rzkfOk87Tzv/PE88XzwvO787Hzo/OT83/zavNW80PzNvMt8yrzK/Mv8zLzNPMy8yzzI/MY8wvy/fLv8uHy0vLB8q7ymfKC8mryUvI78iXyEfH88efx0PG38ZvxfvFf8UHxI/EG8Ovw0vC98KvwnPCN8H7wafBN8Cfv9u++74HvRO8L7trus+6X7oTuee5z7m/uau5k7lruS+447iPuC+317eHt0e3E7bntr+2k7Zfth+127WXtV+1N7UjtSO1L7U7tUe1R7VDtTu1M7UrtSO1G7ULtPO017S3tKO0m7SrtMu097UjtU+1b7WLtaO1v7Xbtf+2I7Y7tk+2U7ZXtl+2b7aLtre267cjt1e3g7ert8+377gTuDe4X7iDuKu407jzuRO5L7lDuVe5a7mDuaO5z7oLulO6o7rzuz+7g7u/u/e8L7xjvJO8u7zfvPO9B70XvSu9Q71nvZO9v73rvhO+O75jvo++w77/v0O/h7/PwBPAW8CbwN/BH8FbwY/Bv8HrwhvCT8KHwsfDB8NDw3vDq8PTw/vEJ8RbxJfE18UbxVvFm8XXxgvGP8ZvxpvGx8bzxx/HS8d7x6/H48gXyEfIc8iXyLPIz8jjyPfJC8kfyTfJU8lzyZfJv8nnygvKJ8pDylfKa8p7yovKl8qnyq/Ku8rDysvK28rvywfLI8s7y0vLU8tby2PLb8t/y5vLt8vTy+vL+8wLzBvML8xLzG/Mk8y3zNfM780DzRfNK81DzV/Nd82PzZvNn82jzaPNq82/zdvN/84jzkPOY857zo/Op87DzuvPG89Xz5vP49An0GPQm9DD0OfQ/9EX0S/RU9F/0bfR99I70nvSs9Lj0wvTN9Nj05PTx9P71CfUQ9RT1E/UQ9Qv1BvT+9Pb06/Tf9NT0y/TI9M302vTu9Qb1IPU49U/1ZPV49Yz1oPW19cf11fXf9eX16PXq9e719PX89gX2D/YY9iD2J/Ys9jL2N/Y89kD2Q/ZG9kn2TPZQ9lX2W/Zh9mf2bPZw9nT2ePZ79n72gPaD9ob2iPaM9o/2k/aY9p32pPat9rj2xPbT9uP29PcG9xf3KPc590r3Wfdo93b3gveN95X3m/ef96L3o/em96v3s/e/98734Pfy+AT4Ffgj+DD4PvhM+Fz4bviB+JT4pfi0+MH4y/jT+Nr44vjr+Pf5BfkV+Sf5OflM+V/5cfmD+ZX5p/m4+cn52fno+ff6BvoV+ib6OPpJ+ln6Z/pz+n36iPqU+qL6svrE+tf66fr7+wz7Hfsu+z/7T/tg+3D7gPuR+6L7tPvH+9v77/wD/Bf8K/w//FP8aPx9/JL8pfy3/Mj82vzu/QL9Gf0v/Ub9W/1u/YH9lP2o/b791f3t/gX+HP4z/kr+Y/58/pb+sv7N/un/Bv8l/0X/Z/+L/67/0P/vAAwAKABCAF4AegCZALoA3QECAScBTwF4AaIBzAH3AiACSAJvApUCuwLhAwYDKgNNA20DiwOoA8UD4wQDBCUESQRvBJQEuATbBP0FIAVGBXEFoAXSBgcGOAZkBoYGngasBrQGuQa/BsoG2QbtBwEHFAcjBysHLgcqByEHEgb9BuMGxAahBn4GXAZABioGHAYTBgwGBwYEBgcGFQY1Bm0GvQciB5IIAghmCLUI7AkNCR8JKQkxCToJQglFCT8JLwkVCPUI1Ai2CJsIgwhsCFYIQQgvCCMIHwghCCUIJggjCBoIEwgTCCUITgiLCNcJJwlwCaoJ0gnsCfwKCAoUCiAKJwonCh4KDAn0CdgJtgmLCVIJBginCDsH0Ad0BzQHGgcjB0YHdAefB7wHyQfLB80H2AfyCBkIRAhqCIAIgAhsCEwIKwgVCBEIIAg+CGIIhAicCKkIrQiqCKcIpwirCLQIvgjFCMkIyAjDCLwItgiyCLAIrwivCKwIpQiaCIoIdghfCEYIKwgNB+oHwAeOB1QHFwbbBqcGgQZsBmgGcQaABo8GmQaZBpEGhAZ4BnAGcQZ7Bo0Gowa5Bs4G3gbqBvMG+gcABwYHCwcNBwwHCAcBBvcG7AbfBtIGwwazBqIGkAZ+Bm0GXgZSBkgGQAY6BjYGMwYzBjUGOAY6BjsGOAYyBikGHgYUBgoGAgX7BfUF7wXpBeIF3AXVBc4FyAXCBb4FuwW5BbkFuQW4BbUFrwWmBZsFjgWCBXcFbwVqBWkFagVuBXMFeQV+BYMFhgWHBYYFhAWBBX8FfwV/BYEFhAWHBYsFjwWTBXkFfwWGBY0FkwWZBZ4FpAWrBbMFvQXIBdMF3wXrBfcGBgYWBikGPwZYBnIGjAalBr4G1QbsBwIHGAcvB0cHXgd2B4wHoge2B8kH3gfzCAoIIwg9CFcIcgiOCKoIxgjjCP4JGAktCTwJRwlMCU8JUQlUCVcJWwlfCWAJYAlfCV4JXglhCWgJcQl6CYQJiwmQCZQJlwmaCaAJpwmvCbkJwgnJCc4JzwnNCccJvQmzCaoJpAmlCa0JvAnQCeYJ+QoHCg0KDQoICgIJ/An7Cf8KCQoZCisKPwpSCmQKdAqCCo4KmAqfCqQKpwqoCqoKrAqwCrcKwArKCtQK3QrjCugK6wruCvMK+QsACwoLFAsfCyoLNgtDC1ILYwt2C4sLoQu1C8gL1wvkC+4L+AwDDBEMIww3DE0MYQxzDIAMiQyQDJYMnQymDLAMuwzFDM4M1AzZDNwM3gzfDN4M2wzWDNEMzQzKDMoMygzIDMMMugysDJwMjQyCDHwMegx7DH0Mewx3DHEMaQxhDFsMVgxSDE4MSQxEDD8MOgw1DDIMLwwsDCkMJwwnDCgMKwwvDDQMOAw6DDwMPQw9DD4MPww/DD0MOww4DDYMNgw5DD0MQgxHDEsMTgxRDFYMWwxgDGQMZQxhDFkMTgxCDDYMLQwlDB4MFgwMDAAL9AvoC94L1wvRC8oLwwu5C64LoguYC5ALiwuHC4QLfwt5C3ELaQtgC1YLTAtACzMLJAsWCwoLAgr/CwALAAr+CvUK5QrPCrQKlwp9CmcKVQpHCjsKLwojChYKCQn9CfMJ6gnjCd0J1gnOCcUJuwmuCZ8Jjgl8CWkJVwlGCTgJLgknCSIJHgkaCRQJCwkACPMI5AjUCMQItAikCJMIfwhnCEsIKQgBB9YHpwd3B0cHFwblBrMGfQZGBgwF0QWWBV4FKAT0BMMElARnBDwEEwPuA8sDqwONA24DTgMrAwUC2wKwAoICVAImAfgBzAGgAXcBTwEpAQUA5QDHAK4AmACGAHYAZwBWAEMALQAV//v/4P/G/6v/kP9z/1P/Mf8M/uX+vP6U/mv+Qv4b/fb91f22/Zz9hv1y/WD9TP05/SX9E/0D/Pf87vzo/OL82fzM/Lr8o/yI/Gv8S/wr/Aj75fvB+5z7eftX+zj7HPsD+uv61Pq++qj6kfp5+l/6Qvoj+gL54Pm9+Zr5ePlV+TL5Dvjp+MP4nvh6+Fj4N/gZ9/z33/fD96b3ifdt91L3OPce9wX27PbU9rz2pPaM9nP2WfY+9iP2B/Xr9dH1ufWh9Yn1cPVX9T71JvUP9Pr05/TU9ML0rvSZ9IT0bvRa9Ef0NvQl9Bb0BvP28+fz2PPL87/zs/Ol85fzhvNz82HzT/M+8y/zIfMT8wTy9PLk8tPywvKz8qbymvKR8onygfJ78nTybfJk8lnyTPI/8jLyJvIe8hjyFfIU8hTyE/IS8hHyD/IP8g/yD/IQ8g/yDfIL8gnyCPIJ8g3yEvIY8h7yI/Ik8iTyI/Ij8iTyKPIu8jfyQPJI8k7yUvJU8lXyV/Jc8mPybfJ38oDyhfKI8ojyiPKJ8o7yl/Kl8rXyxfLS8tvy3vLd8tny1fLS8tHy1fLe8uvy/fMS8ynzQPNW82nzefOE84nzifOE83vzbfNd80vzOfMq8x3zE/MM8wjzBfMD8wDy/fL58vPy7fLk8tvy0PLE8rbyp/KY8ofydvJj8k/yOvIl8g/x+fHi8czxtvGg8YrxdfFg8UrxMvEZ8Pzw3/DB8KXwjPB28GPwT/A68B/v/u/W76jvdu9B7wzu2O6p7n/uW+4/7izuIO4b7hjuFe4P7gXt9u3j7dDtv+2w7aPtme2O7YHtce1g7U/tQe037TPtNO027TjtN+0z7S3tJu0h7R/tIe0m7SvtL+0w7S7tKu0m7SLtIe0i7STtKO0u7TTtO+1E7U7tWe1j7Wztc+147Xvtfu2C7YbtjO2T7Zvto+2s7bTtvu3I7dLt3u3p7fXuAO4L7hfuIu4s7jXuPe5D7kruUe5Z7mPub+587ovum+6s7r3uz+7h7vLvAu8Q7xzvJe8u7zfvQO9L71XvX+9n727vc+9574Dvie+V76Lvr++978rv1+/l7/TwBPAU8CTwM/BA8EvwVvBi8G/wffCM8JvwqfC28MHwzPDY8Obw9fEE8RTxI/Ey8T/xTPFY8WXxcvF+8YrxlfGg8arxtPG/8cjx0fHa8eLx6fHx8fnyAPII8g/yFvIc8iLyKfIx8jnyQfJJ8lHyV/Jd8mPyZ/Js8m/ycvJz8nXyd/J58n7yg/KJ8o/yk/KV8pbyl/KZ8p3yo/Kp8rDytvK68r3ywfLG8s3y1/Lh8uvy9PL78wHzBvMN8xTzHfMm8y/zNPM48znzOfM58zzzQvNJ81LzWvNh82jzbfN083zzh/OU86Pzs/PC89Dz2/Pl8+7z9fP89AT0DPQW9CH0LfQ59EX0UfRb9GX0cPR79If0lfSj9LD0uvTC9Mf0yvTM9M70z/TQ9M/0y/TE9Lr0sfSp9Kf0qfSx9L30yvTZ9Oj0+fUM9SP1PPVY9XL1ivWc9ar1s/W69b/1xfXM9dP12/Xi9en17/X19fv2AvYI9g72E/YY9hz2IfYn9i72NfY99kT2SvZQ9lT2V/Za9lz2XvZf9mH2YvZl9mj2bPZy9nr2hfaR9qD2r/a+9s322/bo9vT2//cK9xf3Jfc090X3Vvdm93T3gfeM95X3nfek96v3s/e898b30ffd9+j39PgB+A/4Hvgv+EH4VPhn+Hj4hviS+Jz4pPir+LL4u/jF+NH43vjs+Pz5DPke+TD5RPlY+W75hPmZ+a35wfnS+eP59PoF+hb6J/o2+kT6UPpZ+mL6a/p2+oL6kvqk+rf6y/rf+vP7B/sZ+yr7OftF+0/7V/tg+2r7d/uH+5z7s/vN++f8Afwb/DP8Sfxd/G/8gPyR/KP8t/zN/Ob8/v0W/Sz9P/1Q/WH9cv2G/Zz9tP3O/ej+Af4b/jX+Uf5v/o3+rP7L/un/Bv8k/0P/ZP+H/6r/zv/uAA0AKABCAFwAdwCUALIA0wD2ARoBQAFoAZMBvgHpAhQCPAJhAoMCpALEAuUDCAMsA1ADdAOXA7kD2QP5BBoEOgRbBHwEmwS4BNUE8wUTBTkFZQWXBcsF/wYuBlUGcwaIBpgGpga1BscG3Qb0BwgHFQcYBxAG/AbfBrsGkwZpBj8GFwX0BdkFyQXDBckF1wXrBgAGFAYoBj4GXAaKBssHIgeJB/gIYwjBCQgJNglOCVcJWAlWCVUJVQlSCUkJOwkmCQ0I8wjYCL4IoQiBCFwINggTB/YH4wfbB9kH2gfZB9UH0QfUB+MIBAg3CHcIvQj9CTIJWQlyCYIJjgmYCZ8JowmiCZwJlAmMCYgJhgmCCXMJUQkaCM0IdAgdB9UHqAeYB6AHtwfPB98H5QfjB98H4gfvCAYIIgg5CEYIRAg2CCEIDwgICA4IIQg8CFgIbgh8CIAIfQh3CHIIcQh0CHkIfwiECIUIhAh/CHkIcQhqCGQIYAhdCFsIWQhVCE4IQQgwCBoIAQfoB9AHuAehB4gHbgdRBzUHGQcBBu4G3wbSBsQGtAahBosGdwZoBmEGZQZxBoQGmgauBr8GywbTBtgG3QbiBuYG6gbrBucG3wbRBsAGrAaXBoIGbQZaBkgGOAYpBh0GFAYLBgMF/AX2BfAF7AXqBesF7QXvBfEF8gXwBewF5wXiBdwF1wXRBcoFwgW5Ba4FowWZBZEFigWGBYUFhwWLBZEFmAWdBZ8FnAWTBYYFdgVlBVYFSwVFBUQFSAVOBVYFXgVjBWcFaAVoBWcFZwVoBWkFbAVuBW8FbwVvBXAFcQV0BWcFbwV3BX4FgwWIBYwFkgWaBaQFsAW/Bc4F3QXsBfwGDQYgBjUGTAZkBn4GmAaxBskG4Ab3Bw8HKAdDB14HegeUB6sHvwfQB98H7gf9CA0IIQg3CFAIbAiKCKoIywjrCQgJIQk0CUAJRglJCUoJTAlPCVQJWQlcCV0JWglWCVMJUglVCVsJZQlvCXcJfQmBCYMJhgmKCZIJmwmmCbAJtwm6CbgJswmqCaAJlgmOCYoJjAmUCaEJsgnECdMJ3gniCeAJ2wnUCc8JzgnSCdsJ5gn0CgIKEAoeCiwKOwpJClgKZAptCnMKdwp5CnsKgAqHCpAKnAqnCrEKuQq9Cr8KvwrACsMKxwrOCtcK4QrtCvgLBQsTCyILMwtGC1sLcAuFC5gLqAu3C8MLzwvbC+sL/gwTDCoMQAxTDGIMbgx4DIAMiAyRDJsMpQytDLQMuQy8DL8MwgzDDMMMwgy/DLsMtwy0DLEMrwysDKcMnwyUDIgMfQx0DG8MbQxsDGoMZwxiDFoMUgxKDEMMPgw5DDQMLwwqDCUMIQwdDBoMGAwWDBUMFQwWDBgMGwweDCEMIwwlDCcMKwwuDDMMNgw5DDkMNww1DDMMMww0DDgMOww+DD8MPww/DD8MQgxFDEcMRwxDDDsMMAwkDBoMEgwLDAYL/wv2C+sL3gvRC8YLvQu0C6sLoAuTC4MLdAtmC1sLVAtQC00LSwtHC0ELOwszCysLIwsbCxILCQsBCvsK9wr1CvUK8grsCt8KzAqzCpcKewphCkoKNwonChcKCQn7Ce4J4gnZCdEJygnCCbgJrAmeCY8JfwlvCV8JTwk/CS8JIAkSCQcI/gj5CPUI8wjxCO0I6AjfCNQIxgi1CKIIjQh2CF0IQwgnCAgH5gfBB5kHbQc/Bw8G3AapBnQGPgYHBdAFmgVlBTMFAwTVBKkEfgRUBCsEAwPeA7oDmQN5A1kDOgMYAvQCzQKiAnQCRAISAeEBsQGDAVgBLwEJAOYAxAClAIoAcQBdAEoAOQAoABYAAf/q/9H/t/+c/3//Yv9E/yT/Av7f/rr+lf5v/kj+Iv38/dj9tv2Y/X79Z/1T/UH9Lv0d/Qz8/vzx/Oj84fzb/NP8yPy4/KP8i/xu/FD8L/wM++b7vvuW+277Sfso+wv68/rd+sn6tPqe+of6bvpV+jr6HvoA+eD5vvmb+Xj5U/kv+Qr45Pi9+Jb4bvhI+CT4Avfj98b3q/eQ93X3Wfc+9yH3Bfbp9s72tPac9ob2cPZb9kb2LvYV9fn13PW+9aH1hfVr9VP1O/Ul9Q70+PTj9M70uvSm9JL0fPRn9FH0O/Qn9BX0A/Py8+Lz0fPA87DzofOT84Xzd/No81fzRPMv8xvzB/L28ujy3PLR8sXyuPKq8pryi/J98nDyZvJe8lfyUfJM8kbyQPI48i7yI/IW8gnx/PHw8ebx3vHZ8dXx0/HS8dLx0/HV8dfx2PHY8dXxz/HH8cDxuvG48brxv/HH8c/x1/Hd8eDx4vHk8efx6/Hy8fryA/IL8hPyGPIc8h/yIfIj8ifyK/Iv8jXyOfI88j7yQPJD8kfyTvJZ8mfydvKF8pHymfKc8pvylvKR8o3yjfKS8p3yrfLB8tfy7/MG8xvzLfM780XzSPNF8zvzLfMb8wny+fLt8uXy4vLi8uLy4fLe8tfyz/LF8rzys/Kq8qLymvKS8ojyffJw8mHyUPI98inyFPH+8ejx0fG68aTxj/F78WnxWvFL8T3xLPEY8P/w4vDC8KHwgfBk8EvwNfAi8A7v+e/h78Xvo+9770zvF+7e7qPuae427gzt7u3c7dPt0O3O7cvtxO267a3toO2W7Y3th+2A7XftbO1e7U/tQe037TDtLe0r7SntJO0c7RHtBuz97Pfs9+z77QLtC+0S7RjtGe0Y7RXtEe0N7QrtCO0J7Q3tE+0b7SXtL+057UHtSe1P7VXtW+1g7WbtbO1x7Xftfu2F7Yztlu2g7aztt+3D7c7t2u3m7fLt/u4L7hfuIu4t7jbuQO5J7lLuW+5k7m/ueu6I7pbup+647sju1+7k7vDu++8H7xXvI+8y70DvTe9W717vZO9q73PvfO+I75Pvne+l76zvs++878fv1u/l7/bwBPAR8BvwJfAv8DvwSfBZ8GnwePCH8JTwofCt8Lrwx/DU8OHw7vD58QXxEfEe8SvxOfFH8VTxYPFq8XTxffGE8YvxkvGY8Z7xpfGt8bbxwPHK8dPx2/Hi8ejx7fHy8fjx/vIF8gzyE/Ia8iHyJ/It8jLyNvI48jryO/I+8kHyR/JN8lTyWvJd8mDyYfJi8mXyaPJt8nHydfJ38njyefJ88oLyifKT8p7yqPKw8rjyvvLG8s7y2fLk8vDy+fMA8wTzBfMH8wnzDfMS8xnzH/Mm8y3zM/M780TzUPNe823zfPOJ85bzofOq87LzuvPB88nz0PPX89/z5vPu8/f0APQK9BX0IfQv9D70TfRb9Gf0cfR39Hv0ffSA9IT0ifSP9JX0mvSc9Jz0m/SY9Jb0lfSV9Jb0mfSc9KP0rPS69M305fUA9Rz1N/VP9WP1dPWB9Yz1lfWe9aX1q/Wx9bf1vfXD9cr10vXZ9eH16PXu9fX1/PYD9gv2E/Yc9iP2KvYv9jT2OPY79j32PvZA9kH2QvZE9kf2TPZT9lz2Z/Z09oH2j/ac9qn2tPa+9sj20vbd9un29/cG9xb3Jvc390f3V/dm93P3gPeM95f3oPep97H3uffB98r31ffi9/D4APgR+CH4MfhA+Ez4V/hg+Gj4cfh5+IP4jvib+Kj4t/jG+Nf45/j5+Qv5H/k0+Un5X/l0+Yn5nPmv+cL51fno+fv6Dvof+i76O/pG+k/6Wfpk+nH6f/qQ+qL6tPrI+tv67/sB+xL7H/sq+zH7Nvs6+0H7S/tb+2/7ifum+8X74/v+/Bf8K/w8/Ev8Wfxo/Hn8j/yo/MP83vz3/Q79IP0w/T/9UP1k/Xv9lP2w/cz96P4F/iT+Rf5n/or+rf7N/uv/B/8i/z7/XP9+/6L/x//sAA4ALgBMAGkAhwClAMQA5AEEASUBRQFnAYoBrwHVAfwCIgJGAmgCiQKpAskC6wMPAzUDWwOAA6MDxgPnBAgEKQRLBGwEjASrBMkE5gUEBSUFSgVzBaAFzQX4Bh8GPwZaBnEGhQaYBqwGvgbNBtUG0wbGBqwGiAZcBi0F/gXVBbMFngWWBZ0FtAXZBgkGPwZ4BqwG2gcAByEHQgdnB5UHzQgOCFMIlAjNCPkJFwkqCTUJPQlECUkJTAlKCUAJLwkYCPwI3wjACKAIfghZCDEICwfqB9MHxgfCB8QHxQfCB7oHsQeuB7gH1AgCCD4Ifwi9CO8JEgkmCTAJNAkzCTAJKgkhCRUJDAkICQ0JGwksCTkJOQkjCPYItghuCCoH8wfSB8QHxQfMB9MH1gfVB9MH1gfeB+0IAAgRCB0IJAgnCCkILwg6CEkIWAhiCGUIXghPCD0ILQgiCB4IIQgnCC8INQg6CDwIPQg8CDsIOQg0CC4IJwggCBsIGAgWCBMIDAgBB/EH3gfKB7gHqgefB5YHjAd/B2wHVgc9ByQHDQb5BucG2AbLBr4GswarBqYGpwasBrMGuwbCBscGyAbHBsUGwwbBBr8Guwa0BqkGmwaKBncGYwZOBjsGKAYXBggF+wXxBekF4wXeBdgF0AXGBboFrgWiBZkFkwWPBY4FjwWQBZMFlgWaBZ4FoQWjBaIFngWWBYoFfAVuBWEFVwVQBU8FUwVaBWUFcAV5BX4FfAV0BWYFVQVDBTMFKQUlBSYFKwUzBToFQAVDBUMFQwVDBUQFRwVLBVAFVQVYBVkFWQVZBVoFXAVhBWEFawV1BXwFgQWGBYsFkQWZBaQFsgXBBdIF4gXzBgQGFgYqBj8GVgZuBogGoQa5BtEG6AcABxgHMwdQB24HiwelB7sHywfYB+IH6wf1CAMIFggtCEgIZwiICKoIzAjrCQcJHAksCTQJOAk6CTsJPglECUsJUwlYCVoJWAlUCU8JTQlOCVIJWQlfCWUJaAlrCW4Jcwl7CYUJkQmaCaAJoQmbCZEJhQl5CW8JaglpCW4JeAmFCZQJogmtCbQJtgmzCa0JpwmiCaEJpAmrCbQJvgnICdAJ2QniCe4J/AoLChwKKgo2Cj8KRApICkwKUgpaCmQKbwp5CoIKiAqLCowKjAqMCo4KkQqXCp8Kqgq3CsUK1ArlCvYLCAsbCzALRAtZC20LfwuQC54LrAu6C8kL2wvvDAUMGgwuDEAMTwxcDGcMcgx9DIcMkAyXDJwMnwygDKEMogyjDKMMpAyjDKAMnQyZDJQMjwyKDIQMfQx1DG4MZwxjDGAMXwxfDF0MWwxVDE4MRgw9DDMMKgwiDBsMFQwRDA0MCgwIDAYMAwwBC/4L/Qv9C/4MAAwCDAMMBQwHDAsMEAwYDCEMKQwvDDIMMgwxDC8MLwwwDDIMNAwzDDEMLQwoDCYMJQwmDCgMKAwkDBwMEgwGC/wL9AvvC+oL5QveC9QLxwu6C6wLoAuUC4gLewtrC1oLSQs5CywLJAsfCxwLGwsYCxULEAsKCwQK/gr4CvIK7QroCuMK4ArcCtcKzwrDCrEKnAqECmsKVAo/Ci4KHQoOCf4J7QneCdAJxAm8CbUJrgmlCZgJiAl0CV8JSgk1CSIJEQkBCPEI4wjWCMwIxAi/CLsIuQi4CLUIsgisCKUImgiNCHsIZQhMCC4IDwfuB8sHqAeDB1sHMAcABswGlAZbBiIF6wW3BYcFWQUvBQgE4gS9BJkEdARPBCoEBQPgA7sDlwN1A1MDMQMQAu0CyAKgAnQCRgIVAeMBsQGBAVIBJQD7ANMArQCKAGsATwA4ACMAEP/9/+n/1P+8/6T/i/9y/1j/P/8k/wf+6P7G/qL+ff5W/i/+Cf3j/cD9of2F/W39Wf1G/TT9I/0R/P/87/zi/Nf8zfzE/Lj8qvyY/IP8bPxR/DX8Ffvy+8r7nvtx+0T7HPr5+t76yfq4+qf6lvqB+mn6T/oy+hX59/nY+bj5mPl2+VL5LvkJ+OP4vPiU+Gv4Qvgb9/X30vez95X3evdg90b3LPcQ9vT21/a69p72hPZr9lT2PvYq9hX1//Xm9cr1rfWO9W/1UfU29R31BfTw9Nv0xvSy9J70ivR19F/0SfQy9Bv0BfPw893zy/O7863znvOR84PzdvNo81nzSfM28yHzCvLz8t3yyfK58qzyovKa8pHyh/J78m3yX/JS8kXyOvIx8ijyIfIa8hPyDPIF8f3x9PHq8d/x0vHG8brxr/Gm8Z/xmfGV8ZPxk/GU8ZTxlPGR8YvxgvF28WnxXfFT8U3xTPFP8VXxXfFn8XHxfPGH8ZLxnfGn8bHxuvHC8crx0fHX8dzx4PHi8ePx5PHl8ebx6PHs8fDx9PH58f7yBPIM8hbyIvIw8jzyRvJM8k3ySvJE8j/yPfJA8knyV/Jp8n7ylPKp8r7y0vLi8u/y9vL38vDy4vLQ8r3yrPKg8prym/Kf8qXyqvKr8qjyofKX8ozygPJ18mzyZfJd8lbyTfJC8jTyI/IR8fzx5/HS8b7xqvGW8YPxcPFe8UzxPPEt8R/xEPEA8Ozw1fC78J/wgvBm8EvwM/Ad8Anv9u/j78/vue+e73zvU+8i7ururO5v7jbuBe3e7cLtr+2h7Zftje2D7Xntce1s7Wntae1q7WjtZO1c7VHtRO037S3tJO0e7RjtEu0L7QHs9uzr7ODs2ezU7NTs1+zd7OXs7ez07Pns+uz67Pjs9uz07PXs9+z87QLtCO0P7RbtHO0j7SrtMu077UTtTO1U7VztY+1q7XHteu2E7Y7tmu2l7bHtvu3K7dft4+3w7fzuCe4W7iLuL+477kfuUe5b7mTube547oPukO6d7qnutO6+7sfu0e7c7uvu++8M7x3vLO8570TvTu9X72Pvbu9674Tvi++Q75TvmO+f76nvt+/H79bv5O/u7/bv/fAE8A7wG/Ar8DzwTfBd8GzwefCE8I/wmfCj8K3wtvDA8Mrw1vDj8PHw//EN8RrxJvEx8TvxRfFN8VXxW/Fg8WXxa/Fx8XnxgvGL8ZXxnfGl8avxsfG28bzxwvHI8c/x1fHb8eHx5/Ht8fPx+PH88f7yAPIB8gTyCPIP8hbyHfIj8ijyK/It8i/yMvI18jjyOvI78jzyO/I88j/yRPJL8lXyXvJm8m3yc/J68oLyi/KX8qPysPK68sPyyfLO8tLy1vLa8t/y5PLq8u/y9fL98wbzEfMe8yzzO/NI81XzYfNs83XzfvOG84zzkvOX85vzoPOm867zt/PC887z2/Pp8/f0BPQQ9Bv0JPQr9DD0NfQ49D30QvRK9FL0W/Rk9Gz0c/R49Hv0fvR/9ID0gfSC9IX0i/SU9KH0sfTD9Nj07fUD9Rj1LPVA9VL1YvVv9Xr1g/WJ9Y/1lPWa9aH1qfWx9br1w/XL9dT13fXl9e719vX99gT2CvYP9hP2F/Yb9h72IfYj9iX2J/Yq9i32M/Y59kH2SvZU9l72aPZz9n32iPaU9qD2rva89sr22fbn9vX3A/cR9x/3Lfc790r3Wfdn93P3fveI95H3mvej9673u/fJ99f35ffy9/74CPgS+Bv4JPgt+Df4QvhN+Fn4Zfhy+IH4kPih+LP4xvja+O/5Bfka+TD5RPlX+Wn5evmM+Z35sPnF+dr57voB+hP6Ivov+jv6RvpS+l/6bfp9+o76n/qy+sb62/rv+wL7Evsf+yj7L/s0+zr7QvtQ+2L7efuT+6/7y/vk+/v8Dfwc/Cn8NvxE/Fb8bfyG/KP8v/za/PH9Bf0X/Sn9PP1R/Wr9hv2i/cD93f38/hz+Pf5h/oT+p/7H/uP+/f8W/zD/Tv9v/5X/vf/lAAwAMABTAHUAlgC4ANoA/AEbATcBUgFrAYUBoQHAAeECBQIqAk4CcQKUArYC2QL9AyEDRANoA4sDrQPPA/IEFgQ8BGIEhwSqBMsE6gUIBSYFRQVoBY0FtAXZBfsGGAYvBkAGTAZUBlkGWgZYBlAGQgYtBhIF9AXVBbkFpAWbBZ8FtAXYBgwGTAaUBuEHKwdwB6oH2Qf9CBcIKwg9CE4IYQh2CIsInwiyCMMI0wjkCPYJCAkYCSMJJgkfCQ4I9QjWCLUIlQh1CFcIOAgaB/0H5gfVB84H0AfYB98H4AfYB8gHtQenB6cHuwfkCBwIXAiaCM0I8wkKCRUJGAkYCRMJCwj/CPAI4AjSCMwIzQjTCNkI1gjECKIIbwg0B/kHxwejB48HiQeLB5IHmgeiB6wHuAfHB9kH6gf6CAgIEwggCC4IPghPCFwIYQhaCEYIKQgIB+oH1gfMB80H1AfeB+UH6AfoB+gH6QftB/MH+Qf8B/oH8wfpB98H1gfPB8sHxgfAB7cHqgedB5EHhweCB30HeQdxB2UHVAdABywHGgcNBwQG/gb5BvMG7AbkBtoG0AbHBr8GuQazBq8GqgalBqAGmQaQBoQGdgZkBlEGPAYpBhgGCAX7Be8F4wXYBc0FxAW9BbkFtQWyBawFpAWXBYcFdAViBVMFRgU/BTsFOgU8BT8FRAVLBVMFXAVlBWwFcAVvBWoFYAVSBUQFNgUsBScFKAUvBTkFRQVPBVUFVAVNBUEFMgUjBRcFEAUOBRAFFAUZBR0FHgUeBR4FHgUgBSQFKQUvBTUFOQU8BT0FPgVBBUUFTQVWBVoFZwVyBXoFgQWIBY8FmAWiBa4FuwXKBdoF6gX6BgwGHgYyBkgGYAZ6BpQGrgbHBt8G9gcNByQHPQdXB3EHigefB7EHvQfGB84H1gfiB/MICggmCEUIZgiGCKYIwgjcCPIJAgkPCRcJHAkfCSMJKQkyCTsJRAlLCU8JTglKCUYJQglACUEJQwlGCUkJTAlQCVUJXAlmCXAJeAl8CXsJcwlmCVcJSglACT0JQQlKCVgJZwl1CYAJiAmLCYoJhQl+CXcJcglwCXEJdgl9CYUJjAmTCZgJngmlCbAJvAnMCdwJ6wn4CgIKCgoRChkKIQorCjYKQApKClEKVgpYClkKWApXClcKWgpeCmYKcgqBCpIKpgq6Cs8K4wr3CwoLHgszC0cLWgttC30LjQubC6oLuwvNC+EL9gwKDBwMLQw7DEgMVAxgDGoMdAx8DIIMhQyGDIYMhQyFDIQMgwyCDIAMfAx3DHIMbAxlDF8MWQxTDE4MSgxIDEYMRgxHDEcMRgxDDD4MNwwtDCMMGAwNDAUL/wv7C/gL9gvzC/AL6wvlC+AL3QvcC9wL3gvfC+EL4wvmC+sL8wv9DAkMFAwdDCMMJQwmDCUMJgwnDCkMKQwnDCIMHAwVDA8MDAwLDAwMCwwIDAEL9wvsC+IL2gvUC9ELzQvIC8ALtgupC5wLjwuDC3ULZwtWC0QLMQsfCxALBAr8CvcK9ArxCu4K6wrnCuIK3QrWCs8KyArBCroKswqrCqIKlwqICncKZApQCj4KLgogChMKBgn3CecJ1gnFCbYJqwmjCZ0JlgmMCX0JaglUCTsJIgkKCPMI3gjKCLYIpAiTCIUIeghzCG0IaghnCGUIYwhhCF4IWghSCEYINQgdCAAH3we7B5cHcgdNBycG/QbPBpwGZQYtBfQFvwWOBWIFOgUWBPQE1AS0BJQEcwRSBDEEDgPqA8QDngN4A1MDLgMLAugCxAKfAncCTAIeAe4BvAGKAVkBKAD5AM0AowB9AFwAPwAmAA//+P/h/8n/r/+U/3v/ZP9P/zz/Kv8V/v7+4v7D/p/+eP5P/ib9/f3X/bP9k/13/V/9Sv03/SP9D/z7/Of81fzF/Lj8rPyg/JT8hfx0/GH8S/w0/Bv7/fvb+7P7hvtW+yb6+/rX+rv6qPqZ+oz6ffpp+lH6NfoV+fT50vmw+Y75bPlJ+SX5APja+LT4jPhk+Dz4FPft98n3pveH92r3T/c19xz3Avbo9s32svaX9nv2X/ZF9iv2EvX59eH1yfWv9ZT1ePVa9T31IfUG9O301fS/9Kr0lvSD9HD0XPRI9DP0HPQF8+zz1PO986fzlPOE83fzbPNi81nzUPNG8zjzJ/MT8vzy4/LK8rPyofKS8ojygPJ58nDyZvJZ8kvyO/Is8h7yEfIF8frx7/Hm8d3x1fHO8cbxv/G28azxofGV8YvxgfF48XHxavFj8V3xVvFP8UjxQPE38SzxIPEQ8P/w7fDc8M7wxPC/8MHwyfDX8OvxAfEZ8THxRfFW8WPxbPFz8XnxgPGH8Y7xlfGa8Z3xnvGe8Z3xnvGg8aTxqfGu8bPxuPG98cTxzPHW8eHx6/Hx8fXx9PHw8ezx6vHs8fLx/fIL8h3yMPJE8lnybvKC8pTyovKp8qnyofKR8n7yavJZ8k7ySvJM8lPyXPJl8mrybPJo8mDyVvJK8j7yM/Ip8h/yFvIL8f3x7vHb8cjxtPGh8ZDxgPFw8WDxT/E98SnxFfEC8O/w3vDO8L/wr/Cf8I3wevBm8FDwOvAi8Arv8u/b78bvs++g74vvc+9W7zDvA+7P7pjuYe4t7f7t1u2z7Zbtfe1o7VbtSO0/7TrtOe067T3tPe077TbtLe0h7RXtCu0B7Pvs+Oz17PPs7+zn7N3s0ezE7Lnssuyw7LPsu+zH7NLs3Ozj7Obs5+zm7OXs5ezm7Ojs7Ozw7PTs+e0A7QftEO0a7STtLu037T/tR+1O7VbtX+1o7XPtfu2L7Zntp+207cLtz+3b7eft8+3/7g3uG+4p7jbuQu5N7lfuYO5p7nTufu6J7pPunO6j7qrusu677sju1u7m7vfvBu8U7yDvLO8470TvUe9d72fvbu9073jvfu+G75LvoO+v773vye/Q79bv2u/f7+bv8e//8A/wIPAw8D/wTPBX8GHwavBy8HrwgvCL8JXwofCu8LzwyfDW8OHw6/D18P/xCfET8R3xJfEs8TLxNvE78UDxRvFN8VTxXPFk8Wvxc/F78YPxi/GS8ZjxnfGh8aXxqfGt8bPxuPG88cDxwfHD8cTxx/HM8dLx2fHg8ebx6vHu8fLx9vH68f/yA/IG8gjyCPIJ8gvyD/IU8hzyI/Ip8i7yM/I28jryQfJK8lXyYfJu8nnyg/KL8pHylvKb8qDypfKq8q/ytfK88sTyzfLY8uTy8vL/8wzzGPMk8y7zN/M/80bzTPNR81fzXvNm83Dze/OG85Hzm/Ok863ztfO+88fz0fPa8+Tz7PPz8/r0APQH9A/0GPQi9C30OPRC9Ev0U/Ra9GH0aPRw9Hj0gfSK9JL0m/Sj9Kz0tvTD9NP05vT89RL1KfU99U31WvVj9Wr1b/V19Xv1g/WL9ZT1nvWp9bT1vvXI9dH12fXg9eb16vXv9fP1+PX89gD2BPYI9gv2D/YT9hj2HvYk9iv2MvY59kH2SfZS9lz2aPZ19oT2kvai9rH2v/bM9tn25fbx9v73C/cZ9yf3NfdC90/3W/dm93H3ffeJ95b3o/ex9733x/fQ99f33vfm9/D3+/gI+Bb4JPgx+D74SvhW+GP4cviD+Jb4rPjD+Nv48/kK+SD5NPlH+Vf5Z/l2+YX5lvmo+bv5zvnh+fP6BPoS+iD6Lfo6+kf6Vvpl+nX6h/qb+rD6x/rf+vb7C/sd+yv7Nfs++0X7TftX+2X7dvuJ+577tPvK+9377/v//A78Hvwv/EL8WPxy/Iz8qPzC/Nr88f0H/R39Nf1P/Wv9iP2l/cL93/38/hn+OP5Y/nj+l/61/tD+6/8G/yT/Rf9q/5L/vP/lAA0AMgBWAHkAnAC/AOMBBQElAUABWQFvAYUBnQG3AdQB9QIYAjsCXwKCAqQCxwLqAw0DLwNSA3MDlgO5A94EBQQuBFcEgASlBMgE6AUGBSQFQwVlBYkFrQXPBeoF/gYGBgUF+wXqBdYFwgWvBZ8FkwWMBYgFigWSBaMFvQXjBhUGVAadBuwHPgeNB9UIEghCCGYIfgiPCJoIogipCK8ItAi3CLkIuQi6CL8IxwjUCOMI8gj7CPoI7gjWCLYIkQhtCE0IMwgfCA4H/wfwB+IH2AfUB9cH4QftB/YH9wftB9kHwQesB6MHqwfHB/IIJQhZCIYIqQjBCNEI3AjjCOgI6QjlCNoIygi3CKQIkwiECHMIXghCCBwH7we/B5EHbAdSB0UHQwdJB1QHYgdyB4UHmQetB8AHzwfZB94H4QfjB+gH7wf3B/sH+AfsB9gHvwemB5UHjQePB5gHoweqB6sHpQecB5MHkAeUB50HqAewB7IHrAehB5MHhQd6B3QHcAdsB2cHYAdXB04HRgdABzwHOAc0By4HJQcbBxEHCAcBBvwG+AbxBucG2gbIBrUGogaQBoEGdgZvBmsGaQZnBmQGXgZTBkMGLgYVBfsF4gXMBboFrAWhBZgFjwWGBX0FdQVwBWwFawVpBWYFYAVVBUgFOQUrBSAFGQUWBRQFFAUSBQ8FDAUKBQkFDQUUBR4FKAUxBTYFNQUvBSQFGAUNBQQFAQUEBQsFFQUeBSQFJQUiBRsFEQUIBQIE/gT9BP0E/gT+BP0E+wT5BPkE+wUABQcFDwUVBRoFHQUeBSAFIwUpBTMFPwVMBVEFXQVoBXMFfQWHBZMFngWrBbcFxAXSBeAF7wYABhMGKAY+BlYGcAaLBqYGwQbbBvMHCAcdBzAHRAdYB2wHfwePB50HqAeyB7sHxwfXB+wIBwgkCEMIYQh8CJMIpwi5CMgI1gjiCOwI9Qj8CQQJDQkWCR8JJwktCTEJMAktCSkJJQkjCSIJJAknCSsJMAk2CTwJQwlJCU0JTglKCUEJNAklCRgJDwkOCRUJIQkxCUIJUQlbCWAJYAlcCVYJTwlICUIJPwk+CUAJRAlKCVAJVwleCWUJbAl0CX4JiQmVCaEJrgm5CcQJzgnZCeUJ8Qn/CgsKFwohCicKKwosCioKKAolCiMKJAopCjIKQQpUCmsKgwqbCrIKxgrZCusK/AsPCyILNQtIC1oLawt7C4oLmwutC8AL1QvpC/sMCwwZDCQMLgw4DEIMTAxWDF4MZQxpDGsMbAxqDGgMZgxjDF8MWwxXDFIMTQxIDEQMPww7DDYMMwwvDC0MKwwqDCoMKgwoDCUMHgwWDAsMAAv1C+0L5wvjC+AL3gvaC9QLzgvHC8ELvQu8C70LwAvCC8ULxwvKC88L1wviC+8L+wwGDA4MEwwVDBcMGQwbDB4MHwwdDBkMEgwKDAML/gv7C/kL9wv0C+0L5QvbC9ELyQvEC8ALvAu4C7ILqguhC5cLjAuAC3QLZQtUC0ELLQsYCwUK9QroCt8K2ArSCs4KywrGCsEKuwqzCqkKnwqUCokKfwp1CmoKXwpSCkQKNQonChkKDgoECfkJ7gngCdAJwAmwCaIJmAmRCYoJggl3CWcJUQk5CR4JBAjrCNIIugiiCIoIcghbCEYINQgoCB8IGAgSCA4IDAgLCAoICggJCAMH+AflB8sHrAeKB2YHQwchBv8G3Aa2BowGXgYsBfoFyAWYBWwFQgUbBPYE0wSwBI8EbgROBC0ECwPnA8IDmwNzA0sDJQMAAtwCuQKVAm8CRwIcAe8BwAGQAWABMAECANYArwCLAGwAUAA2ABsAAP/h/8H/oP+B/2X/T/88/y3/H/8O/vn+3v6+/pr+c/5J/iD99/3P/ar9h/1m/Un9L/0W/P/86PzS/L38q/yb/I/8hPx6/HD8Y/xU/EL8LvwY/AD74/vD+537cvtE+xb67PrI+qv6lvqG+nj6afpV+jz6H/n9+dj5svmM+WX5P/kZ+PP4zfim+ID4Wfgz+A335/fD96D3f/dh90X3K/cS9vn24fbJ9rH2mPZ+9mP2RvYp9gv17vXQ9bT1mfV+9WX1TPUz9Rr1AfTo9M/0t/Sg9Ir0dPRf9Ev0OPQk9BDz+vPk88zzs/Ob84PzbvNb803zQvM68zPzLvMm8xzzDfL68uTyzPK08p/yjvKA8nbybvJl8lryTPI88inyFvIE8fPx5PHW8cnxvvG08avxovGa8ZDxhPF48WrxXPFQ8UbxP/E78TnxNvEw8SjxG/EM8Prw6PDW8MXwtPCj8JHwf/Bs8FvwTvBH8EjwUfBj8H3wnPC88Nvw9fEK8RnxIvEo8S3xMvE58ULxS/FT8VnxXPFd8VzxW/Fb8V3xYPFj8Wfxa/Fv8XPxefGB8Yrxk/Ga8Z/xofGh8Z/xnfGd8aHxqPGz8cHx0fHk8fnyD/In8j/yU/Jj8mzya/Jh8lHyO/Il8hLyBPH/8gHyCvIX8iXyL/I18jTyLfIg8hHyAfHy8eTx2PHM8b/xsPGf8YzxePFl8VTxRPE28SfxGPEG8PLw3PDH8LLwn/CP8IDwdPBo8F3wUfBF8DbwJPAQ7/jv3+/F763vmO+H73nvbe9f703vNe8V7u3uv+6O7lzuK+397dPtq+2I7WjtS+0y7R/tEO0H7QPtAe0B7QHs/ez37O7s5Oza7NTs0ezS7Nbs2+zd7Nvs1OzH7Lnsq+yh7J3sn+ym7LHsvOzG7M3s0uzT7NPs1OzU7Nbs2ezd7OHs5+zt7PTs++0E7QvtE+0a7SHtKO0v7TftQO1K7VTtYe1u7XztjO2b7antt+3D7c/t2u3m7fLt/+4M7hnuJO4v7jnuQu5N7lfuY+5v7nnugu6K7pHumO6g7qrutu7E7tLu3+7r7vbvAe8M7xjvJe8y7z3vR+9Q71fvX+9p73TvgO+N75nvou+p767vsu+3777vyO/T7+Dv7u/78AnwFvAi8C3wOPBC8ErwU/Bc8GbwcfB88IjwlPCe8KfwrvC18L3wxvDQ8Nvw5PDt8PTw+vD+8QPxCPEO8RTxGvEh8SnxMvE78UXxT/FY8V/xZPFm8WjxavFs8XHxdvF78YDxg/GE8Ybxh/GJ8Y3xk/GZ8Z/xpfGq8bDxtfG88cPxyfHP8dTx1/Ha8dzx4PHl8evx8fH28frx/PH+8gDyBPIK8hLyHfIo8jPyPPJE8kryUPJV8lryX/Jl8mvycfJ48oDyifKT8p7yqvK28sLyzvLY8uHy6fLx8vnzAPMJ8xLzHfMo8zTzQPNL81TzXPNh82bza/Nx83nzg/OO85rzpfOw87nzwfPI89Hz2vPk8+7z+vQF9BD0G/Qm9DP0QfRQ9GD0b/R89Ib0jPSQ9JL0lPSY9KH0rvTB9Nb07fUD9Rf1J/U19T/1R/VO9VX1XfVm9W/1evWF9ZH1nPWm9bD1uPW/9cX1yvXP9dT12fXe9eP16PXt9fL1+PX+9gT2DPYT9hr2IfYn9i72NvZA9kr2VvZi9m/2e/aI9pT2oPat9rn2xvbT9uH27/b89wr3F/ck9zD3PPdI91X3Yfdu93v3iPeT9533pfet97P3u/fE99D33/fv9//4EPgf+Cz4OPhE+FH4YPhx+IT4mvix+Mn44fj4+Q/5JPk4+Ur5Wvlp+Xf5hfmT+aH5sfnC+dL54/nz+gP6Evoh+i/6PvpN+l76cfqF+pz6tPrO+uf6//sU+yb7NPtB+0v7Vftf+2n7dfuC+5H7ofux+8P71vvo+/z8D/wi/Df8TPxj/Hr8k/ys/MX83/z6/Rb9M/1R/XD9jv2s/cn95P3//hn+NP5P/mr+hv6h/r3+2/76/x3/RP9u/5n/xP/tABQAOABZAHoAmwC9AN8BAAEfATwBVwFvAYgBoAG6AdYB8gIPAi0CSwJqAosCrQLQAvQDGAM7A10DgAOkA8kD8QQbBEUEbQSUBLcE2AT3BRgFOgVgBYYFqQXIBdsF4gXaBcQFowV9BVcFNwUhBRgFHgUzBVQFgQW2BfMGNwaABs0HHQdtB7kH/gg4CGUIhAiVCJ0IoAiiCKcIsQi/CM8I3wjsCPUI+gj9CP8JAwkHCQkJBgj6COIIvgiRCGIINQgRB/gH7AfoB+kH6wfpB+QH3gfZB9kH3gfmB+0H7wfpB9sHyAe2B6oHqQe0B8kH5QgBCBsILwhACE4IWwhoCHUIfgiDCIAIdwhoCFYIQggtCBYH+wfbB7cHkAdqB0oHMgckByEHJgcwBz0HTAdcB2wHfQeMB5cHnAeZB5AHgwd0B2cHXwdaB1gHVgdTB04HSgdKB04HWQdoB3YHgAeDB3wHbgdeB1AHSQdJB1AHWQdgB2EHWwdPB0IHNQcsBycHJAciBx8HGAcOBwMG+AbuBuYG4AbcBtgG1QbRBs0GyQbEBrwGsgalBpMGfwZpBlQGQAYwBiUGHQYZBhgGGAYZBhgGFQYNBgAF7gXXBb4FpAWLBXUFYQVPBT8FMQUjBRgFEAULBQoFCgUMBQwFCgUEBP4E9wT0BPQE+AT+BQMFBQUABPYE5wTXBMgEvwS+BMQEzwTeBOsE9AT3BPQE7QTkBNsE1gTWBNkE4ATnBO0E8QTxBO8E7ATqBOgE6AToBOcE5QThBNwE2ATWBNYE2wTiBOsE9AT6BP8FAgUFBQkFDwUZBSYFNAVDBUsFVwVhBW0FeQWHBZUFowWwBbwFyAXVBeIF8wYGBhsGMgZKBmMGfAaWBq8GyAbfBvUHCAcZBykHOQdIB1kHaQd6B4kHlwelB7MHwgfVB+sIBAgeCDcITQhgCHAIfQiKCJYIpAixCL8IywjVCN8I5wjuCPUI+wj/CQIJAgkACP0I+gj5CPsJAAkGCQ0JFQkbCSAJIgkiCR4JFgkMCP8I8gjoCOII4gjpCPYJBgkXCSUJLgkxCTAJLAkmCSAJGwkYCRUJEwkTCRMJFQkaCSEJKQkzCT4JSQlTCV0JZgluCXYJfgmHCZEJnAmpCbcJxgnVCeMJ7wn5Cf8KAQoACfwJ9wnyCe8J8An3CgQKFwowCksKZwqBCpkKrQq+Cs0K3QrtCv4LEQskCzYLRwtWC2YLdwuJC50LsQvGC9gL6Av0C/4MBQwMDBQMHQwoDDIMPAxFDEoMTQxNDEsMRwxDDD4MOgw3DDQMMgwwDC8MLgwsDCkMJQwiDB4MGgwXDBQMEQwNDAgMAAv2C+sL3wvUC8sLxgvCC8ALvQu6C7YLsAuqC6ULoguiC6MLpQunC6gLqQurC68LtwvCC88L3QvqC/QL/AwBDAUMCQwNDBEMFAwVDBMMDQwHDAAL+Qv1C/EL7gvqC+QL3QvUC8sLwwu7C7ULsAurC6ULnwuZC5ELiAt+C3ILZAtSCz8LKgsWCwIK7wrfCtEKxgq8CrQKrAqlCp4KlwqNCoMKdwprCl8KVApJCkAKNQoqCh4KEQoFCfoJ8AnnCd4J1QnJCbwJrwmiCZcJjwmICYEJdwlpCVYJPwklCQoI8AjYCMAIqQiRCHcIXAhACCcIDwf7B+sH3QfQB8YHvQe3B7QHsgexB68HqAecB4kHcAdTBzQHFQb3BtsGvwaiBoEGXAYzBgcF2AWqBXwFTwUkBPoE0gSrBIYEYgQ/BBsD9wPSA6wDhANdAzcDEgLuAssCqQKFAmECOgISAegBvQGSAWcBPQEVAPAAzwCxAJYAewBfAEAAHf/2/83/pv+D/2b/UP9A/zH/Iv8O/vX+1v6z/oz+Zf4+/hf98f3L/aX9f/1Z/Tb9Ffz2/Nr8wfyp/JX8g/x1/Gn8YPxY/E78Q/w0/CH8C/vz+9j7vPud+3z7WPsy+wv65/rF+qj6kPp7+mj6VPo++iT6Bfni+bz5k/lq+T/5Ffjr+ML4mvh0+E/4KvgG9+P3wfeg94D3YvdG9yz3FPb99ub20Pa69qP2i/Zx9lb2OfYa9fn12fW59Zv1f/Vl9U71N/Uh9Qv09fTd9MT0q/SS9Hj0X/RG9C/0GPQC8+3z2fPF87Hzm/OG83HzXPNI8zjzKvMg8xjzEvML8wPy9/Ln8tTyvvKo8pTygvJz8mXyWfJM8jzyKvIV8f/x6PHT8b/xrvGg8ZTxifGA8XfxbfFi8VPxQPEr8RXxAPDv8OTw3/Dg8OXw6PDp8OPw1vDD8KzwlPB98GjwVfBF8DfwKfAd8BLwCvAI8AvwFvAn8D/wWvB28JLwqvC98Mzw1fDd8OPw6fDx8PrxA/EM8RPxGPEa8RrxGfEY8RfxF/EZ8RvxHvEi8SbxLPE08TzxRfFM8VLxVvFY8VjxV/FY8VrxX/Fm8XDxffGM8Z7xs/HK8ePx+/IR8iDyKPIn8hzyCvHz8dzxyPG78bfxvfHK8dvx7PH58f7x+/Hw8d/xy/G48afxmPGL8X/xcfFi8U/xO/En8RPxAfDw8OHw0fDA8K/wnPCJ8HbwZPBU8ETwNvAo8BvwD/AC7/bv6O/Z78fvtO+g74vveO9n71nvTu9E7zrvLO8a7wLu5e7D7p3udu5O7ibt/u3W7a7the1c7TftFez67Ofs2+zX7Nbs1uzV7NDsx+y97LLsq+yp7Kzss+y87MPsx+zF7L7stOyp7KDsm+yb7J7spOyr7LHstuy67Lzsv+zC7MbsyuzQ7Nbs3ezk7Ovs8uz37P3tAe0F7QrtD+0V7RztJO0t7TftQe1N7VrtaO137YXtk+2h7a7tuu3G7dLt3u3p7fTt/u4H7hDuGe4k7jDuPe5K7lbuYO5p7nDueO6A7onule6h7q3uue7D7szu1e7f7uru9u8E7xHvHu8p7zPvPO9E70zvVO9d72Xvbe9173zvhO+M75Xvne+m767vt+/B78zv2O/m7/XwA/AQ8BvwJPAr8DPwPPBF8E/wWPBg8GfwbfBz8HnwgPCJ8JLwm/Cj8KvwsvC58MHwyPDQ8Nfw3vDk8Orw8fD58QHxCvES8RnxHvEi8STxJvEp8S3xM/E68UDxRfFI8UrxTPFO8VDxVfFa8WDxZ/Ft8XTxe/GC8YnxkPGW8ZzxoPGk8afxq/Gw8bbxu/HA8cTxx/HJ8czxz/HU8dvx5PHt8fXx/PID8gjyDfIR8hfyHPIj8inyL/I28j7yR/JS8l7yavJ38oLyjPKU8pvyovKp8rHyuvLE8s/y2/Ln8vLy/fMI8xHzGfMh8yjzL/M38z/zSfNT813zaPNy83vzhfOP85nzpPOv87vzxvPS893z6PP09AH0EfQj9Df0SvRc9Gv0dvR99ID0gvSD9Ib0jfSX9KX0tvTI9Nr07PT89Qr1F/Uj9S71OPVC9U31V/Vi9W31d/WB9Yr1kvWZ9aD1pvWs9bL1uPW+9cX1y/XS9dn14fXp9fH1+vYB9gn2EPYX9h72J/Yx9jz2R/ZR9lv2ZPZt9nf2gvaO9pz2q/a69sn21/bk9vD2/PcI9xT3IPcs9zn3RfdR91z3Z/dx93r3hPeN95b3ofes97r3yffY9+f39/gG+BT4Ivgx+EH4Uvhl+Hj4i/ie+LL4xvjc+PH5CPkd+TL5RflW+WT5cPl7+Yf5lPmj+bP5xvnY+ev5/PoN+hz6LPo7+k36YPp2+o76p/rB+tr68fsG+xj7Kfs3+0T7Uftc+2f7cvt8+4f7k/ug+7D7wvvW++v8APwV/Cn8PfxR/Gf8fvyX/LP80fzw/RD9MP1Q/W/9jf2r/cf94v39/hf+MP5I/mD+ef6S/q7+zP7u/xT/Pf9p/5X/wf/qABEANQBXAHgAmAC3ANYA9AESAS4BSQFlAYEBnAG4AdIB6wIEAhsCNAJPAm0CjwK0AtkC/wMjA0YDZwOJA6wD0gP6BCQETQR1BJoEvwTiBQcFLQVUBXoFnAW1BcIFwAWvBZEFawVDBR4FBAT6BQEFHQVKBYgF0QYiBncGywcbB2cHrAfpCBwIRghlCHoIhQiKCIsIjQiTCKAItAjOCOsJBwkgCTQJQAlHCUkJRwlACTQJHwkBCNkIqAhzCEAIFAf1B+MH3wfkB+wH8wf0B+8H5gfbB9MHzgfNB84HzwfOB8kHwQe4B7AHrAesB7AHtQe7B8AHxAfKB9EH2gfmB/EH+gf+B/0H9wfuB+MH2QfOB8EHsQecB4IHZAdIBzAHIAcZBxwHJQcyBz8HTAdWB14HYwdmB2QHXAdPBzwHJgcQBv0G7wbnBuUG6QbvBvgHAwcQBx8HLwc9B0cHSwdJBz8HMgclBxoHFAcTBxYHGgcbBxgHEgcJBwAG+gb3BvYG9gb0Bu8G5gbZBsoGugasBp8GlAaLBoQGfgZ5BnMGbAZjBlgGSgY6BigGFQYEBfUF6QXhBdoF1QXQBcwFxwXDBcAFvAW5BbMFqgWeBY0FeAVhBUcFLQUTBPoE5ATSBMQEvAS5BLoEvgTBBMIEwAS8BLcEtQS1BLsExQTQBNoE3gTbBM8EuwSlBI8EfwR3BHgEgQSQBKEEsAS6BL8EvgS6BLUEsQSvBLAEswS3BLsEvgTABMEEwQTDBMUExwTJBMkExwTDBL4EugS4BLoEwATHBNAE2QTgBOYE6wTxBPkFBQUSBSEFMAU/BUoFVQVgBWwFeQWHBZUFowWvBboFxQXSBeEF8wYJBiEGOgZSBmkGfwaUBqgGvAbOBt8G7wb9BwkHFgckBzMHRQdYB2wHfweSB6QHtgfJB9wH8QgECBgIKQg4CEUIUgheCGwIewiJCJcIogirCLMIuQi/CMQIygjOCNEI0gjRCM8IzgjPCNMI2gjiCOoI8Qj1CPUI8QjqCOAI1QjKCL8Itwi0CLYIvAjICNYI5AjwCPgI/Aj8CPkI9QjyCPEI8QjxCPII8QjwCO4I7wjyCPkJAwkQCR0JKgk2CT8JRglMCVIJWAlgCWkJdAmACY0JmwmpCbYJwQnKCdAJ0QnPCcoJxAm+CbwJvgnHCdcJ7goICiUKQgpdCnQKiAqZCqkKuQrKCtwK7wsBCxILIgsxCz8LTgteC28LgguWC6kLuQvHC9IL2wvjC+sL8wv9DAgMEgwbDCIMJwwoDCcMJAwfDBoMFgwTDBEMEAwRDBIMFAwWDBcMGAwXDBUMEgwNDAcL/wv1C+kL3AvOC8ALsgunC58LmguYC5cLlguVC5MLkAuMC4kLhwuGC4ULhQuEC4MLgwuEC4gLkAubC6kLuAvGC9IL3AvjC+oL8Av1C/sMAAwDDAQMAgv/C/oL9QvwC+wL6AvjC90L1QvMC8MLuQuwC6cLoAuaC5QLjwuJC4ILeQtuC2ELUQs/CywLGgsHCvYK5grXCsgKuQqrCp4KkgqHCn4KdQprCmEKVwpLCkEKNgosCiIKFwoMCf8J8gnlCdkJzwnHCcEJugmyCakJnwmWCY0Jhgl+CXYJbAldCUkJMgkZCQAI6AjRCL0IqAiTCHsIYAhECCgIDAfxB9gHwAepB5MHfwdtB2AHVwdSB08HSwdGBzsHLAcYBwAG5gbMBrIGlwZ6BlsGOAYTBeoFvwWUBWoFQQUZBPIEzASnBIEEWwQ0BAwD5AO7A5MDawNFAyEC/wLeAr4CngJ8AloCNgIRAeoBxAGeAXgBVAEzARUA+QDfAMYAqgCKAGQAOgAM/97/tf+T/3n/Z/9Z/0z/O/8k/wX+4P62/o3+Zf4//hz9+f3W/bH9i/1k/T/9G/z6/Nv8wPym/I/8evxn/Fj8S/w//DP8JPwR+/r74PvD+6X7h/tr+0/7Nfsa+v764vrG+qr6j/p0+lr6P/oi+gT54vm9+ZX5a/k/+RL45fi6+JH4avhG+CT4A/fj98T3pfeH92r3T/c29yD3C/b39uT20Pa89qb2jvZ19ln2PPYc9fz12/W79Z31gPVm9U31NvUf9Qf07/TW9L30ovSH9Gz0T/Qz9Bbz+/Ph88rztfOj85PzhfN282bzVvNE8zPzI/MW8wvzAvL68vHy5vLZ8sfys/Kd8ojyc/Jg8k3yO/Io8hPx/PHj8crxsPGY8YPxcfFh8VXxSvFA8TbxK/Ec8Qnw8vDX8LvwofCN8IDwe/B98IXwjPCR8JDwh/B38GPwTfA38CTwFfAJ8ADv+u/17/Lv8u/17/rwA/AO8BvwKfA48EjwV/Bl8HPwf/CL8JXwn/Co8LDwuPDA8MfwzfDR8NTw1fDV8NXw1PDT8NTw1fDZ8N7w5PDr8PPw+/EC8QjxDPEP8RHxEvEV8RjxHPEh8SjxMPE58UTxUvFk8Xjxj/Gl8bnxyPHQ8c/xxfG08Z7xifF58XDxcfF78YvxnfGt8bbxuPGx8aPxkPF98WrxW/FN8UHxNfEn8RfxBPDw8NzwyPC18KTwk/CD8HPwY/BT8EPwMvAi8BHwAO/u79zvyu+576rvne+R74bve+9v72PvVu9I7zrvK+8d7w/vAe7y7uLu0e6+7qnuk+577mLuRe4k7gDt1+2p7XrtTe0j7QHs6OzZ7NPs0ezR7M7sx+y77Kvsm+yO7IbsheyK7JPsnuym7Kvsq+yo7KLsnOyX7JTsk+yV7Jjsm+yg7KTsqeyt7LPsuezB7Mns0ezZ7OHs6Ozt7PHs9Oz37Pns/e0C7QftDe0U7RztJO0t7TftQu1O7Vztau147Yftle2j7bDtvO3H7dDt2e3h7ent8u397gnuF+4j7i/uOe5B7knuUO5Z7mTucO597orule6f7qjur+647sHuze7a7ufu9O8A7wrvEu8Z7x7vIu8n7yzvM+8870XvUO9b72Xvbe9z73jvfO+C74vvlu+l77bvxu/V7+Hv6u/x7/fv/fAE8AzwFfAd8CXwLPAz8DrwQPBH8E7wVfBc8GPwavBz8HzwiPCT8J3wpvCt8LHwtfC48LvwwPDG8Mzw0fDW8Nrw3vDi8Ojw7/D38P7xBfEK8Q7xEvEV8RnxHvEl8SzxNPE88UTxS/FS8VjxXfFi8WbxavFt8XHxdPF58X3xgvGG8YrxjfGP8ZLxl/Gc8aPxq/Gz8brxwfHH8c3x0vHY8d7x5PHq8e/x8/H48f/yCPIT8iDyLvI78kfyUPJY8l7yZfJs8nTyfvKJ8pTynvKn8rDyuPLA8sry1fLh8u7y+/MH8xLzHPMk8y3zNfM980fzUvNd82rzd/OE85HznfOp87Tzv/PL89jz5vP39Ar0HvQy9EX0VfRi9Gv0cfR09Hf0efR99IP0i/SW9KT0s/TE9NT05fT19QP1EfUd9Sn1M/U99Uf1UPVY9V/1ZvVt9XT1fPWD9Yr1kvWa9aL1q/W09b71yfXT9d315fXt9fP1+vYA9gj2EfYc9ib2MPY69kP2S/ZU9l/2a/Z69on2mvap9rf2xPbP9tr25Pbv9vv3CPcU9x/3Kvc09z33R/dR91z3aPd094H3jvea96b3sve+98v32Pfm9/b4CPgb+C/4Q/hW+Gj4efiI+Jj4qPi6+M745fj8+RP5KPk5+Uj5VPlf+Wv5efmJ+Z35svnH+dz57/n/+g76Hfos+j76U/pr+oX6n/q5+tH65vr5+wn7GPsm+zT7QvtQ+137aft0+377iPuU+6L7svvF+9n77fwB/BX8KPw8/FP8bPyI/Kf8yPzq/Qv9K/1J/Wb9gv2d/bj91P3v/gr+JP48/lT+bP6E/p/+vf7f/wX/Lf9Y/4P/rf/V//0AIwBIAGsAjQCuAMwA5wEBARsBNAFPAWsBiAGkAcAB2QHwAgYCHgI4AlcCeQKfAsUC6gMNAy4DTANqA4oDrQPTA/wEJgRPBHgEoATHBO8FFgU9BWEFgAWWBaMFpAWbBYoFdQVgBVAFSQVPBWMFhwW6BfsGRQaVBuYHMwd5B7QH5AgKCCcIPQhOCF4IbAh6CIoInAiwCMcI4Qj9CRkJMwlJCVkJYwlmCWMJWQlJCTMJFwj2CM8Ipgh9CFYINggeCA8IBwgECAIH/wf5B+8H4gfUB8cHvAe0B64HqQekB6AHmweYB5UHkweSB5AHjQeIB4QHgQeAB4MHigeRB5cHmgeXB48HhQd7B3QHcAdwB3EHbwdoB1sHSAcyBx8HEgcOBxMHHwcuBz0HSQdPB08HSQc/BzIHIgcQBv4G7AbcBtAGyQbHBskGzwbXBuAG6AbwBvYG+gb7BvoG9gbxBuoG5AbfBt0G3QbeBt4G3QbaBtQGzwbKBsgGyAbKBswGzAbJBsEGtQanBpcGiAZ6Bm0GYAZTBkYGOQYsBiAGEwYHBfoF7AXdBc8FwgW4BbAFqwWmBaEFmwWRBYYFeQVuBWUFYAVeBV4FXgVbBVUFSAU2BR4FBAToBM4EtwSlBJkElASUBJcEmgScBJsElgSNBIQEfQR5BHsEgQSKBJIEmASXBI8EggRwBF4EUARHBEUESwRXBGcEdwSFBJAElwSaBJsEmgSZBJkEmgSbBJsEmwSbBJoEmwScBJ8EowSmBKcEpwSmBKMEogSiBKYErAS0BLwExATLBNIE2gTjBO8E/gUPBSAFMAU+BUYFUQVbBWYFcgV/BY0FmgWmBbIFvwXOBeAF9QYNBicGQAZYBm0GgQaSBqIGsgbBBs4G2gbkBu0G9gcBBw8HHwcyB0cHXQdyB4UHmAepB7oHygfbB+wH/QgOCB4ILgg+CE0IWwhnCHEIeQh/CIUIigiRCJgInwilCKkIqwirCKoIqgirCK8ItQi7CMAIwwjBCLsIswioCJwIkgiKCIUIgwiFCIsIlAifCKoItAi8CMIIxAjECMMIwwjFCMgIzAjPCNEI0QjPCM0IzAjPCNUI3wjsCPkJBgkQCRgJHgkjCSkJMAk5CUIJTQlYCWMJbwl6CYUJkAmYCZ4JoAmfCZsJlQmQCY8JkgmcCa0JwwncCfcKEgosCkMKWAprCn4KkQqkCrcKygrdCu4K/QsLCxgLJAsxCz4LTgteC3ALgQuSC6ILsAu8C8cL0gvbC+QL7Qv0C/oL/gv/C/4L+wv3C/IL7QvqC+cL5gvnC+oL7gvzC/oMAAwEDAcMBgwAC/YL6AvXC8MLrwucC4sLfQtzC20LaQtoC2gLaAtpC2kLaAtnC2ULZAtiC2ALXwtdC10LXgthC2gLcQt8C4kLlguiC60Ltgu+C8ULzAvTC9oL4QvmC+kL6wvrC+oL5wvjC98L2QvTC8oLwQu2C6sLoAuWC40LhguAC3wLdwtyC2oLYAtSC0ELLgsaCwgK9wrpCt0K0grHCroKrAqdCo0KfwpzCmkKYApXCk4KRAo5Ci4KIwoZCg4KAwn2CekJ2gnMCb8JtAmrCaQJngmXCY8Jhgl9CXMJawlkCV0JUwlHCTgJJQkPCPgI4gjOCLsIqAiVCIAIZwhNCC8IEQfyB9MHtAeUB3QHVAc3Bx4HCwb9BvYG8gbwBu0G5wbcBs0GuAafBoMGYwZABhsF9AXMBaQFfAVXBTUFFQT4BNsEvgSgBH4EWgQzBAkD3gOzA4kDYQM7AxgC9wLYArkCmgJ8AlwCPAIbAfkB2AG2AZUBdQFXATwBIgEJAO8A0QCuAIQAVQAj//T/y/+s/5b/iP9//3T/ZP9M/yz/Bf7b/rD+iP5j/kH+IP3//dz9uP2U/XD9Tv0t/Q787/zR/LP8lvx7/GP8T/w8/Cr8Fvv+++H7wPud+3v7W/tA+yn7FfsE+vP64PrK+rH6lPp1+lT6MPoL+eT5u/mQ+WT5NfkH+Nn4rfiE+F74PPgd9//35PfI9633kfd39133Rvcx9x73Dvb+9u/23/bN9rn2o/aK9m/2UvY09hT19PXU9bT1lfV39Vn1PPUf9QP05/TM9LH0lvR79F/0QvQk9Abz6PPM87PznvOM83/zc/Np817zUfNC8zLzIfMS8wTy+PLt8uPy2PLK8rnypfKO8nfyX/JH8jDyGPH/8eTxyPGr8Y7xc/FZ8UPxMPEg8RLxBfD68O7w4fDS8L/wqvCS8HrwZPBS8EfwQvBD8EfwTPBP8E7wSPA98DDwIfAU8Ajv/+/57/Tv8u/x7/Lv9O/27/nv/O/+7//v//AA8APwCfAS8B/wLvA98EvwVvBe8GTwaPBt8HPwevCC8IvwkvCX8JrwmvCY8JbwlfCW8JnwnvCk8KvwsfC38Lvwv/DC8MXwyvDO8NTw2vDf8OPw5/Dr8O/w9vEA8Q/xIfE38U3xYfFw8Xjxd/Fu8V7xS/E58SzxJ/Ep8TPxQfFQ8V3xY/Fi8VvxT/E/8S/xH/ER8QXw+PDr8N3wzvC98KvwmPCG8HTwYvBQ8D7wLPAb8Arv+e/p79nvyO+276TvkO9+72zvXO9O70PvOu8z7yzvJO8b7w/vAe7x7uDuz+7A7rLupu6b7pHuh+587m/uXu5J7i/uD+3q7b/tku1l7TztGu0B7PHs6ezm7OPs3ezS7MDsquyS7H3sbuxl7GXsa+x07H7shuyL7I3sjOyJ7IbshOyE7ITsh+yJ7I3skuyX7Jzso+yq7LPsvOzF7M3s1Oza7N/s4uzm7Ons7Ozw7PTs+ez/7QTtCu0Q7RftIO0q7TbtQ+1R7WDtcO1/7Y3tmu2l7a7ttu297cXtzu3Y7ePt8O377gbuD+4W7h7uJe4v7jruR+5V7mPub+557oLuie6Q7pjuoe6r7rbuwe7M7tXu3e7i7ufu6u7u7vLu+O8A7wnvFO8e7yjvMO817znvPO9A70fvUe9e727vfe+M75jvou+p77Dvt++/78fv0O/a7+Pv7O/07/zwBPAL8BHwFvAb8B/wJPAr8DXwQPBN8FrwZvBu8HPwdvB38HfwefB88H/whPCK8I/wlPCZ8J/wpvCu8LbwvvDF8Mzw0vDY8N/w5/Dv8PnxA/EN8RbxHvEl8SvxL/Ez8TbxOfE88UDxRPFI8UzxT/FR8VPxU/FU8VXxWPFd8WPxavFx8XnxgPGI8ZDxmfGi8arxsfG38bvxvvHB8cXxzPHW8eLx8PH98gnyEvIa8iHyKfIy8jzySfJV8mHyavJx8nfyffKD8o3ymfKo8rjyyfLX8uTy7vL38wDzCfMS8x3zKfM280LzT/Nb82fzdPOA843zm/Oo87bzxPPT8+Tz9fQH9Bn0KvQ69Ej0U/Ra9F/0YvRl9Gj0bPRz9H30ifSX9Kb0tvTF9NT04vTv9Pv1BvUQ9Rn1IfUp9TH1OPU/9Ub1TvVX9WD1afVy9Xz1iPWU9aD1rfW49cP1zPXT9dn13vXl9ez19fYA9gr2FfYf9in2M/Y+9kr2WfZp9nr2ivaY9qX2sPa59sP2zvba9uf29PcA9wv3FPcc9yT3Lvc590X3U/di92/3fPeH95H3m/el97H3v/fP9+H39fgK+B74MvhD+FP4Yvhv+H34jPie+LL4yfjg+Pb5Cvkc+Sr5N/lE+VP5Zfl6+ZL5q/nC+df56Pn3+gL6Dvoc+i76RPpe+nr6lvqx+sj62/rq+vf7BPsQ+x77LPs8+0v7Wftm+3H7fPuI+5X7pPu0+8b72fvs+//8FPwq/EP8X/x+/J/8wfzj/QP9If08/VX9bf2G/Z/9uv3V/fD+C/4l/j/+Wv51/pP+s/7X/v3/Jf9N/3T/mv/A/+YADAAyAFcAfACeAL0A2QDxAQgBHwE4AVIBbQGKAacBwgHcAfYCEQItAk0CbwKTArcC2gL6AxkDNgNUA3MDlQO5A98EBwQvBFYEfQSkBMsE8gUZBT4FXwV8BZMFpAWxBbwFxQXPBdoF5gX2BgoGJAZGBnEGpQbfBx0HWgeSB8EH5wgECBoILghCCFgIcwiSCLEI0QjtCQYJGwksCTsJSAlSCVkJWwlYCU4JPQkmCQwI7wjSCLgIoQiNCHwIbAhdCE0IOgglCA8H+QfjB9AHwQe1B6sHoweZB48Hggd1B2kHYAdaB1kHWgdbB1wHWgdVB04HSQdGB0cHSwdRB1UHVQdPB0QHNgcpByAHHQcgBycHLgcwBywHIgcTBwUG+Qb2BvoHBgcWByYHMQc1BzEHJQcUBwAG7AbbBs0Gwwa+BrwGvQa/BsMGxQbHBscGxQbABroGsgaqBqEGmQaTBpEGkQaTBpYGmQaaBpgGkwaNBogGgwaCBoQGhwaJBokGhAZ7Bm8GYgZVBkoGQQY5BjIGKQYdBg8F/wXvBd8F0QXFBbkFrgWiBZYFigV/BXcFbwVpBWMFWwVRBUUFOAUrBSAFGQUVBRMFEwUSBQ4FBgT5BOgE1AS/BKsEmQSNBIUEgwSDBIYEiASIBIQEfARxBGQEWARPBEoESQRLBE8EUgRUBFIETQREBDoEMAQoBCQEJQQsBDYERARTBGIEbwR5BIAEhQSIBIkEigSKBIkEiASFBIQEggSCBIMEhQSHBIgEiASJBIkEigSNBJMEmwSjBKwEtQS8BMQEzQTYBOYE9gUJBRsFLAU6BTwFRgVPBVkFZAVyBYEFkQWiBbMFxQXZBe4GBgYeBjcGUAZmBnsGjQaeBq4GvQbLBtcG4gbpBu8G9Qb7BwMHDgcdBy4HQAdTB2QHdQeEB5MHogeyB8IH1QfnB/oIDAgcCCsINwhACEcITQhSCFkIYAhqCHQIfQiFCIoIjAiMCIsIiwiNCJAIlAiXCJcIkwiMCIEIdQhpCF8IWAhUCFMIVQhYCF4IZQhtCHYIfgiGCIwIkQiUCJcImgieCKIIpwirCK0IrQisCKoIqwiuCLUIvgjJCNQI3gjmCOwI8Qj2CP0JBQkPCRoJJQkwCTsJRQlPCVkJYwlrCXEJdAlzCXAJawloCWcJbAl2CYYJmgmxCcoJ4wn8ChQKKwpBClYKawp/CpIKowq0CsUK1ArjCvEK/gsKCxYLIgswCz4LTgtgC3ILhQuWC6YLswu+C8YLzQvSC9UL1gvVC9ML0AvMC8gLwwvAC70Luwu7C74LwwvKC9ML3QvmC+sL7AvmC9oLxwuwC5cLfwtpC1gLTAtECz4LOws6CzgLOAs3CzgLOQs6CzwLPQs+Cz4LPwtBC0QLSQtQC1kLYwttC3YLfguGC4wLkwuaC6ELqQuyC7oLwQvHC8sLzwvRC9EL0QvOC8kLwgu5C60LoQuTC4YLegtwC2gLYwtfC10LWgtVC00LQQswCxsLBgrxCt4K0ArFCr0KtgquCqUKmQqMCn8KcwppCmIKWwpTCksKQQo1CigKGwoPCgQJ+QntCeAJ0QnBCbEJowmWCYoJgAl1CWoJXglSCUcJPQk2CTEJKwkkCRoJDAj7COcI0wi/CKwImQiGCHIIWwhCCCYICQfqB8sHqgeIB2QHQAccBvoG3QbFBrUGqwalBqMGoAaaBpAGfwZnBkkGJgX/BdUFqwWBBVkFNQUVBPkE4ATLBLYEoQSJBG4ETgQrBAUD3QO0A4wDZQM/AxoC9wLWArUClQJ3AloCPQIhAgQB5wHKAawBjgFzAVkBQQEqARIA9QDTAKsAfQBMAB3/9P/T/7v/qv+e/5P/g/9u/1P/Mv8O/ur+xv6l/oT+ZP5C/iD9/f3a/bj9lv1z/VD9K/0F/N78uPyW/Hn8YPxL/Db8IPwE++P7vvuV+277TPsv+xr7C/r/+vP65vrT+rv6nvp7+lP6KPn5+cn5lvli+S34+vjJ+Jz4dPhQ+DD4Fff89+T3zfe19533hPdt91f3Q/cy9yT3GPcN9wL29vbn9tb2wvar9pL2dvZX9jf2FfXz9c/1q/WH9WT1QfUf9P703vTA9KL0hvRp9E30MfQU8/fz2/PB86jzk/OB83LzZvNa803zQPMx8yDzEPMA8vHy4/LW8sryvPKs8pnyg/Js8lPyOvIh8gbx6/HN8a7xjvFt8U3xMPEX8QHw7/Dg8NPwx/C68K3woPCR8ILwc/Bl8FjwTfBE8D/wPfA88DzwPPA68DXwMPAp8CLwHfAZ8BbwFPAT8BHwDvAL8AnwBvAE8ALv/u/47/Dv6O/g79vv2+/f7+jv8+//8AjwDvAQ8A/wDvAP8BPwHPAp8DjwSPBU8FzwYPBf8F3wWfBW8FbwWPBc8GHwZvBr8G/wcvB18Hrwf/CF8I3wlPCa8J/wofCj8KXwqPCu8LrwyvDe8PXxC/Ef8SzxMfEu8SPxEvEA8O7w4fDb8Nzw4vDt8PnxA/EJ8QvxBvD+8PLw5PDV8MbwuPCq8Jzwj/CA8HHwYvBR8D/wLfAa8AXv8e/c78jvte+k75Tvhu9572vvXe9N7zvvKO8V7wTu9e7p7uDu2e7T7svuwe607qbul+6K7n/udu5v7mnuY+5c7lPuR+457inuFe387d/tvu2Z7XLtTu0v7RftB+z97Pjs8+zr7N3syOyu7JLseOxj7FXsT+xP7FTsXOxj7Grsbuxx7HLscuxy7HPsdOx17Hfseex97ILsiOyP7JfsoOyo7LDst+y97MPsyOzN7NHs1uzb7N/s5Ozo7O3s8uz37P3tBO0M7RXtIO0s7TntR+1W7WTtce187Ybtju2V7ZztpO2t7bftwu3N7dft4O3o7e/t9+4A7gvuFu4i7i/uOu5E7kzuVO5b7mLuae5v7nfufu6F7o3ulO6b7qLuqO6t7rPuuO6+7sXuze7W7t/u5+7v7vXu+u8A7wbvDu8X7yHvLO8370LvTe9X72Hva+9274Dvi++U753vpu+v77jvwe/J79Hv1u/a793v3+/i7+jv8O/78AfwFPAe8CbwLPAv8DHwM/A28DnwPfBC8EfwS/BQ8FTwWvBh8GjwcfB68IPwjPCW8J/wqvC08MDwy/DW8ODw6fDx8Pfw+/D+8QHxBfEJ8Q7xE/EZ8R7xIfEj8SLxIfEf8R7xHvEg8STxKPEu8TTxO/FE8U3xWPFj8W/xefGA8YbxivGN8ZHxlvGf8anxtPG/8cnx0vHZ8eHx6fH08gLyEfIh8i/yO/JE8kvyUvJZ8mLybfJ78orymfKm8rPyvvLJ8tXy4fLv8vzzCvMW8yDzKvMz8z3zSPNV82TzdfOG85bzpvO088Lz0PPf8+3z/fQM9Br0JvQw9Dn0QPRG9Ez0U/Rb9GT0b/R59IT0j/Sa9KX0sPS79Mf00vTd9Of08PT59QL1CvUT9Rz1JfUu9Tf1QfVL9Vf1Y/Vw9X71i/WY9aT1rfW09bv1wfXI9dD12vXl9fD1+/YG9hH2HPYo9jX2RPZU9mP2cfZ+9or2lPaf9qr2t/bE9tL23/bq9vT2/fcG9w/3Gvcn9zX3Q/dQ91z3Zfdu93f3gfeN95z3rffB99X36Pf7+Az4G/gp+Df4RPhT+GP4dPiI+J34s/jJ+N347/j/+Q75Hfku+UL5Wflz+Y/5qvnC+db55Pnv+fj6AfoO+h/6NfpP+mz6iPqh+rf6yfrX+uP67vr6+wf7F/sn+zf7R/tW+2T7cft++4v7mfuo+7j7yfvc+/D8Bfwd/Df8VPxz/JP8s/zS/PD9DP0m/T/9WP1w/Yj9ov28/db98f4N/in+SP5p/oz+sv7a/wP/K/9S/3f/mf+7/9v//QAgAEQAaACLAKwAyQDkAPwBEgEpAUEBWwF3AZUBsgHQAe0CCgIoAkYCZgKGAqYCxwLnAwgDKQNKA20DkAOzA9UD9wQXBDcEWAR8BKIEzAT4BSUFUQV8BaUFzQXzBhkGPQZeBnoGkQahBqsGsga7BskG3wcABykHWAeJB7cH4AgCCB8IOQhTCHAIkAixCNMI8QkJCRoJJQkqCS4JMQk1CTgJOgk2CSsJGAj+CN8IvwijCI8Iggh8CHoIdwhvCF4IQggdB/MHyAejB4YHdAdsB2sHawdqB2QHWQdKBzoHLQckByIHJAcoBysHKgclBxwHEgcKBwYHBgcJBw4HEQcQBwoHAAb2Bu4G6gbrBvEG+Ab+Bv8G+wbyBucG3gbZBtoG4QbrBvYG/gb/BvkG7AbaBsYGswakBpkGlAaTBpMGlQaVBpMGjwaKBoIGewZyBmsGYwZcBlYGUgZQBlAGUgZUBlYGVgZTBk4GRwZABjoGNwY2BjcGNwY2Bi8GJQYWBgYF9wXrBeIF3gXbBdkF1QXNBcMFuAWsBaIFmwWVBY8FiAV/BXIFYgVQBUAFMQUmBR0FFwUTBQ4FCQUCBPkE8ATnBN0E1ATMBMMEugSwBKUEmQSNBIIEeARwBGoEZwRmBGYEZgRkBGEEWwRTBEoEQQQ4BDEELQQqBCoEKgQrBCwEKwQnBCEEGgQRBAoEBAQDBAcEEAQcBCsEOgRIBFQEXgRlBGsEbwRyBHQEdQR1BHUEdARyBHEEcARwBG8EbwRvBHAEcgR3BH4EhwSRBJwEpgSwBLkExATQBN8E7wUBBRMFJAUxBTUFPgVHBVIFYQVzBYgFoAW6BdMF7AYEBhsGMQZGBloGbQZ/BpAGoAavBr4GzQbbBucG8Qb4Bv4HAgcGBwoHEQcbByYHMwdBB04HWwdnB3MHfweMB5sHqge7B8wH3AfrB/cIAggKCBIIGggiCCwINwhDCE4IWAhfCGMIZQhmCGcIaghuCHIIdQh1CHAIZghZCEoIPAgxCCkIJgglCCYIKAgrCC4IMwg6CEIITAhWCF8IZghsCHAIcwh3CHsIfwiDCIYIiAiJCIsIjQiRCJgIoQiqCLMIuwjACMUIyQjOCNUI3wjqCPYJAgkNCRcJIAkqCTMJOwlCCUcJSAlGCUEJPQk6CToJQAlLCVsJcAmHCZ8JuQnUCe4KCQoiCjkKTgpgCnAKfQqLCpkKqAq5CsoK3ArrCvkLBgsRCx0LKgs5C0oLXAtuC4ALjwucC6ULrAuvC7ALrwusC6gLpAufC5sLmAuWC5QLkwuTC5ULmAueC6cLsQu8C8MLxgvCC7YLowuMC3MLWwtHCzgLLgsnCyILHgsaCxYLEgsRCxELFAsZCx8LJAsoCysLLgsyCzcLPwtIC1ELWwtiC2cLawttC3ELdQt8C4ULjwuaC6MLqwuxC7ULuAu5C7oLuQu2C7ELqAudC48LfwtwC2ELVAtLC0QLQAs+CzwLOgs1CywLHwsNCvkK4wrPCr8KsgqqCqQKngqYCo8KhQp7CnEKaQpkCmAKXQpYClAKRAo3CicKGAoKCf4J8wnnCdoJygm4CaQJkAl9CWsJWglKCTwJLQkgCRQJCwkECQAI/Qj5CPII5wjZCMgItAihCI4IfAhqCFYIQAgoCA4H8gfVB7cHmQd6B1kHNQcQBuoGxQakBogGcgZjBlkGUgZKBj8GLwYaBf8F3gW7BZUFbwVJBScFBwTqBNAEuQSkBJAEewRlBE0EMgQVA/YD1AOxA40DaANCAxsC9QLPAqsCiAJoAksCMQIXAf4B5AHJAa4BkwF5AWIBTQE6AScBEQD2ANYAsQCHAFsAMQAL/+v/0P+6/6b/k/+A/2z/V/9A/yn/Ef73/tr+u/6Z/nX+T/4o/gD91/2q/Xv9Sv0X/Of8u/yW/Hn8ZPxT/EP8LvwT+/H7yvug+3f7VPs5+yX7F/sL+v/67/rZ+r36m/py+kX6E/nd+aX5a/kx+Pj4w/iT+Gr4SPgs+BT4APfs99j3wver95L3evdk91D3QPcz9yr3JPce9xj3EPcG9vf25fbP9rX2mPZ29lL2LPYD9dr1sfWI9WH1O/UX9PT00vSw9I/0bfRN9C30DvPx89bzvfOl85DzfPNp81fzRvM18yTzE/MC8vHy4PLQ8sHysvKj8pPygvJu8lnyQvIq8hHx+PHf8cXxqfGL8WvxSvEo8Qnw7PDV8MLws/Cn8JzwkfCF8HfwafBa8E7wQ/A88DjwNvA38DnwOvA78DvwOfA28DLwLvAt8C3wL/Az8DfwOvA78DrwNvAw8CjwIPAY8A/wBu/77/Dv5e/a79Dvyu/G78TvxO/D78Dvu++z76rvpO+h76Tvru+/79Pv6O/88AvwFPAY8BjwFfAS8BDwEPAT8BfwG/Ag8CTwJ/Aq8C7wM/A48D/wR/BN8FPwV/Ba8FzwYPBm8HDwf/CR8KbwvPDP8N7w5/Dn8OHw1PDD8LDwn/CS8IrwiPCM8JXwn/Cq8LHwtfC08K7wo/CV8IbwdvBn8FnwSvA98C7wIPAR8AHv8O/f78zvuO+k747vee9m71XvRu867zDvJu8a7wru9+7h7snus+6g7pHuhu597nbub+5m7lzuUe5H7j7uN+4y7i7uKO4h7hjuDe4C7fft7O3f7dDtvu2m7Yrtau1L7S7tF+0H7P3s9uzw7Ofs2ezG7K7slex87GfsV+xN7EjsSOxL7E/sU+xX7FrsXexe7F/sX+xf7F/sYOxi7Gfsbex07Hvsg+yK7JHsl+yd7KPsqeyw7LfsvuzE7MnszuzS7NXs2eze7OPs6Ozu7PXs/e0F7RDtG+0o7TXtQe1N7VftX+1m7W3tdO187YbtkO2b7aXtru237b/tx+3O7dbt3e3l7e3t9O387gTuDO4U7hvuIu4o7izuMO407jnuQO5I7lHuWu5j7mvuce537nzugu6K7pPune6o7rLuvO7D7sruz+7U7tnu3+7l7u3u9u8B7wzvGe8l7zDvO+9D70vvU+9c72XvcO9874fvkO+X75vvne+e76Dvo++p77Hvu+/F78/v2O/f7+Xv6+/w7/Xv+u//8APwBvAJ8A3wEfAW8B3wJvAw8DvwRvBS8F3wafB18IHwjvCZ8KPwrPCz8LjwvPC/8MHwxfDK8NDw1/Df8Ofw7fDx8PPw8/Dz8PLw8vDz8PTw9vD58Pzw//EE8QvxFPEe8SrxNvFB8UrxUvFY8V/xZvFv8XfxgfGJ8ZHxl/Gd8aPxrPG48cbx1/Hp8fvyCvIY8iPyLfI28kHyTPJY8mTycPJ88ojylPKh8q/yvvLO8t7y7PL38wDzB/MP8xfzIvMv8z/zUfNj83XzhfOU86HzrvO788fz1PPg8+zz9/QB9Av0FfQf9Cr0NfRB9Ez0VvRg9Gj0b/R29H70h/SQ9Jr0pfSv9Lr0xPTO9Nf04fTs9Pb1APUK9RT1HvUo9TP1P/VM9Vn1Z/V09YD1i/WU9Zz1pfWu9bf1wvXO9dr15fXx9fz2B/YT9h/2LPY69kf2VPZg9mv2d/aD9pD2nvar9rj2xPbP9tn24/bu9vr3CfcY9yb3M/c990T3SvdQ91j3Y/dy94T3mfeu98L30/fj9/D3/PgI+BX4JPg0+Ef4Wvhv+IT4mPis+L74z/jg+PH5BPkZ+TL5Tflp+Yb5oPm2+cf51Pne+ef58foA+hP6KvpE+mD6evqR+qX6tvrE+tH63frr+vn7Cfsa+yv7O/tL+1r7aPt2+4T7kvug+677v/vR++X7+/wT/C78Sfxl/IH8nvy6/Nf88/0Q/Sz9SP1k/X79mP2y/cv95f4A/h7+Pv5i/on+sv7d/wj/Mf9Y/3z/nP+7/9j/9gAUADUAVgB5AJoAugDXAPIBCgEiATkBUgFsAYkBpgHFAeQCAgIfAjsCVwJ0ApECsALRAvUDHANDA2oDjwOxA88D6gQDBB4EOwReBIgEuQTvBSkFZAWeBdcGDQZBBnMGoQbJBukHAAcNBw8HCwcEBwEHBQcWBzIHWAeGB7YH4wgLCC4ISwhlCH4IlgitCMQI1wjlCO0I8QjxCPEI8wj4CQAJBwkKCQUI9gjdCLwIlwh0CFcIQwg5CDUIMQgpCBUH9gfKB5YHYgcyBw8G+wb1BvsHBwcUBxwHHQcZBxAHBwcBBv8HAgcGBwoHCgcEBvkG6wbeBtQGzwbPBtQG2wbgBuIG4QbcBtYG0gbQBtEG1AbXBtkG2AbTBssGwga6BrUGsgayBrQGtAaxBqsGoQaUBoYGeQZvBmcGYwZgBl0GWQZSBkoGQAY1BiwGJQYgBh4GHgYfBiEGIgYkBiUGJgYmBiQGIgYdBhYGDwYHBgAF+wX3BfQF8AXpBd8F0gXCBbEFoAWSBYcFfwV6BXQFbgVoBWEFXAVZBVkFXAVgBWMFYgVcBU8FPAUlBQ0E9wTnBN0E2QTaBN4E4ATgBNoE0ATBBK8EnQSNBH8EdARsBGYEYQRcBFcEUQRKBEQEPgQ6BDcENAQzBDIEMQQvBC0EKwQnBCMEHwQaBBcEFAQTBBMEEgQQBAwEBgP9A/MD6wPlA+MD5gPuA/kEBQQSBB4EKQQyBDsERARNBFQEWwRfBGIEYwRjBGMEYQRgBF8EXgReBF4EYARkBGoEcwR+BIoElwSkBLEEvgTNBNwE7QT/BQ8FHgUrBTYFQgVPBWAFdgWQBa8F0AXyBhMGMAZJBl4GbwZ9BokGkwadBqYGsAa5BsMGzAbWBt8G5wbvBvYG/AcCBwgHDgcWBx4HJwcxBzoHQgdLB1MHXAdlB28HegeGB5MHoAetB7gHwwfOB9gH4wfuB/sIBwgTCB0IJQgrCDAIMwg4CD4IRQhMCFEIUghNCEIIMggfCA4H/wf1B/EH8AfyB/UH+Af7B/4IAwgKCBQIIAgrCDYIPQhDCEYISQhMCFEIVghdCGMIZwhqCG0IbwhzCHgIgAiICJAIlgibCKAIpAiqCLIIvAjICNUI4QjsCPYI/gkFCQwJEgkWCRgJFgkTCQ0JCAkECQUJCwkWCSYJOglRCWsJhgmjCcIJ4Qn+ChkKMApDClEKXApnCnIKgAqRCqUKuQrMCt0K6wr3CwILDAsYCyYLNgtGC1cLZwt1C4ALiAuMC40LiwuGC4ALegt1C3ELbgttC20LbAtsC2sLbAtvC3ULfguJC5QLmwucC5YLiQt3C2MLTws/CzMLKgslCyELHAsXCxMLEAsQCxMLGQshCygLLQswCzALLwsvCzALNQs8C0QLTAtSC1YLVwtYC1oLXgtmC3ALfQuJC5QLnQuiC6YLpwuoC6cLpguiC5sLkQuEC3ULZQtUC0ULOQswCykLJQsjCyALHAsWCwwK/wrvCtwKygq5CqwKogqbCpYKkAqJCoAKdgpsCmQKXwpcClsKWgpXClAKRAo1CiQKEwoDCfUJ6AnbCcsJuQmjCYsJcglaCUQJMAkeCQ8JAQj0COkI4AjaCNUI0AjLCMUIuwiuCJ8Ijwh+CG4IXghNCDsIJggOB/MH1ge4B5sHfgdgB0IHIQb9BtcGsAaKBmgGSgYyBh8GEAYDBfUF5AXQBbkFnwWDBWcFSgUvBRQE+QTgBMcErgSWBH4EZgROBDYEHQQDA+cDyQOqA4gDZAM+AxYC7gLFAp4CegJZAjsCIAIHAe8B1gG9AaMBiQFwAVoBRgE1ASUBFwEGAPIA2wC/AJ8AfABYADMAEP/w/9T/vP+p/5v/kf+I/3//c/9j/03/MP8O/uf+vP6N/ln+IP3i/aD9W/0Y/Nv8qPyB/Gf8VvxK/D78LPwS+/H7y/uk+4H7ZftQ+0L7Nfso+xX6/Pra+rH6gvpQ+hv55fmt+XT5O/kC+M34nfh0+FL4OPgk+BT4Bff09+H3yvew95T3efdh9033P/c29zL3Mfcx9zD3Lfcm9xn3B/bv9tH2r/aH9l32MPYB9dL1pPV49U/1KPUD9OD0vPSZ9HT0TvQo9ATz4vPC86bzjvN482PzUPM88ynzFfMA8uzy2PLE8rLyn/KO8n3ybPJa8kfyM/Id8gbx7vHW8b7xp/GQ8XnxYfFH8SzxD/Dy8NbwvfCo8JjwivCA8HXwavBd8E/wP/Aw8CPwGfAS8A/wDvAQ8BLwFvAY8BrwHPAe8CDwI/Ao8C3wNPA78EHwRvBI8EfwQ/A78DLwJvAa8A7wAu/17+nv3e/Q78LvtO+l75fvh+9372fvV+9J7z3vNO8x7zXvPu9O72LveO+O76HvsO+778Hvw+/D78Pvw+/E78jvzO/Q79Xv2e/c79/v4+/n7+zv8u/47/3wA/AI8AzwEfAY8CHwLfA88E3wX/Bv8H3wiPCM8IzwhfB68GzwXPBN8EDwN/A08DbwPfBG8FDwWPBc8FzwV/BP8EPwNvAo8BnwC+/87+zv3e/N777vsO+i75Xvhu9272PvTu857yTvEe8B7vTu6e7e7tDuv+6q7pPue+5l7lLuRO447i/uJu4c7hHuBe357e/t5+3h7dzt1u3O7cXtu+2y7artpO2g7Zvtle2K7XntYu1I7SztE+z+7O7s4+zc7NXszezC7LTso+yR7H/sb+xi7FfsT+xK7EfsRuxG7EfsSexK7EvsS+xK7ErsSuxM7FDsVexc7GPsaexv7HXseex/7IXsjeyV7J7spuys7LHstey47LrsvezA7MXsyezO7NPs2ezf7Ofs8Oz67QbtEe0c7SXtLu017TztRO1M7VbtYO1r7XXtf+2I7Y/tlu2b7Z/to+2m7antrO2x7bftv+3I7dHt2e3f7ePt5u3o7evt8O337gDuCu4V7h7uJ+4u7jTuOu5C7kvuVu5j7m/ue+6E7ozuku6W7pjum+6f7qPuqe6w7rnuw+7N7tbu3+7m7u7u9u7/7wnvFu8l7zTvQu9O71fvXe9g72LvY+9l72nvbu91737vh++Q75nvou+q77Hvue+/78Tvye/N79Dv1O/Z797v5u/u7/jwBPAQ8BzwKfA28EPwUPBc8GbwbvB08HjwevB78HzwffCB8Ifwj/CZ8KPwrfC28L3ww/DH8Mvwz/DR8NTw1fDV8NTw0/DS8NTw1/De8Obw8fD88QjxE/Ed8SjxMvE88UbxT/FX8V7xZPFp8XDxePGD8ZDxoPGx8cPx1PHj8fLx//IM8hnyJvIz8kDyTPJY8mTycPJ+8o3ynPKs8rvyyfLU8t7y5/Lw8vvzB/MV8yTzNPNE81TzY/Nx83/zjPOa86fzs/O988fzz/PX89/z6PPz9AD0DfQb9Cj0NPQ/9Ej0UfRZ9GL0a/R19H/0iPSQ9Jn0ofSp9LL0vPTG9NH03fTn9PL0/PUG9RH1HPUp9Tf1RPVS9V71avV09X/1ifWU9aD1rPW59cX10fXc9ej18/X/9gr2FvYi9i72OvZF9lL2XvZs9nr2h/aU9qD2qvaz9r72yfbX9ub29/cH9xX3IPcn9yv3Lvcz9zr3RfdU92f3eveO96D3sPe998r31/fm9/X4BvgY+Cv4PfhQ+GL4dPiG+Jn4rfjB+Nf47vkH+SH5O/lV+W35gvmT+aH5rPm3+cX51fnr+gT6IPo9+lj6cfqG+pj6p/q1+sP60vri+vL7A/sT+yL7MftA+0/7Xvts+3v7ifuY+6b7tvvI+9z78/wM/Cb8Qfxb/HT8jvyo/MP84f0A/SD9Qf1g/X79mf2z/cv95P3//hz+Pf5g/of+r/7Z/wH/Kf9P/3P/lP+z/9D/7QAKACgARwBnAIgAqQDIAOUBAAEYATABRwFgAXsBlwG1AdQB8gIPAisCRgJhAn4CnAK9AuIDCQMxA1gDfQOeA7sD1gPxBA4EMARaBIwExgUFBUgFjAXNBgoGQQZzBqAGxwboBwMHFwcjBygHJwckByIHJgcyB0kHageSB74H6QgQCDAISAhbCGgIdAh/CIoIlAicCKEIpAikCKQIpgirCLQIvwjJCM4IyQi5CJsIdAhHCBoH8QfQB7YHoweQB3kHWgcyBwMG0galBoEGbQZoBnEGhAacBrEGwQbLBs0GzAbKBsoGzAbQBtQG1wbWBtAGyAa/BrcGsgayBrUGuwbBBsUGxgbEBr8GuQazBq4GrAarBqsGqganBqIGmwaRBocGfgZ1Bm4GZwZiBl0GWAZSBk0GRwZCBj4GOQY0Bi4GJgYbBhAGBAX4Be8F6QXmBeYF6QXsBe8F8QXyBfIF8QXxBfAF7gXsBegF4wXcBdQFywXCBboFsgWqBaEFlwWLBX4FbwVfBU8FPwUwBSIFFQULBQMFAAUBBQYFDwUZBSEFJQUjBRkFCATyBNkEwgSvBKQEnwShBKYEqgSsBKgEngSOBHsEZwRWBEgEQAQ7BDoEOQQ4BDUEMAQpBCEEGQQTBA4ECwQKBAoECwQMBA4EDgQNBAsEBwQCA/0D+AP1A/MD8wPyA/ED7gPpA+MD3APWA9MD0gPVA9oD4APoA/AD+QQCBA0EGAQkBDAEOgRCBEgETAROBE8EUQRSBFQEVQRWBFcEWARbBF8EZwRwBH0EiwSaBKoEugTLBNwE7QT+BQ4FHQUqBT0FUAVmBYAFnwXBBegGDwY1BlgGdQaMBp0GqQaxBrcGuwa+BsEGxAbFBscGyAbKBs0G0AbWBtwG4wbqBvIG+QcABwcHDQcUBxoHIQcoBy4HNQc9B0UHTgdYB2MHbwd6B4YHkgedB6gHswe/B8oH1gfhB+oH8gf6CAIICggTCB0IJggsCC0IJwgbCAkH8wfeB8sHvwe4B7gHuwfAB8YHygfOB9MH2QfiB+wH+AgCCAsIEAgUCBYIGQgeCCUILwg4CEEIRghKCEsISwhNCFAIVQhcCGMIaQhvCHQIegiBCIsIlwilCLIIvwjJCNEI2AjdCOEI5QjpCOoI6QjmCOAI2gjUCNII1AjcCOgI+QkOCSYJQQlgCYAJownFCeUKAgoaCi0KPApJClQKYQpwCoIKlAqmCrgKxwrUCt8K6gr1CwILEQsgCzELQQtQC1wLZgtsC24LbAtmC18LWQtTC08LTQtNC00LTAtKC0YLQwtDC0YLTwtbC2kLdwuAC4QLgAt2C2kLWgtNC0QLPgs7CzoLOgs7Cz0LQAtGC04LVwtfC2MLYwtdC1QLSQs/CzkLOAs8C0ILSQtPC1ILUgtSC1ILVAtaC2MLbgt6C4ULjguUC5cLmQuZC5gLlQuPC4YLegtsC1sLSws7Cy4LJAscCxgLFAsRCw4LCQsBCvYK6QrZCskKuQqrCp8KlgqPCooKgwp8CnMKaQpgClkKVApSClIKUgpPCkkKPQovCh0KCwn5CegJ2AnHCbUJnwmHCWwJUgk4CSEJDAj6COoI2wjOCMIIuAivCKgIogicCJYIjgiDCHcIaghdCFAIQggzCCEIDAfzB9cHuQeZB3oHWwc9Bx8HAQbhBr8GnQZ7BlsGQAYoBhQGAwXzBeMF0QW9BacFkAV5BWIFTAU1BR8FCQTyBNoEwQSoBI8EdQRcBEIEJwQLA+0DzQOrA4YDYAM5AxAC5wK/ApgCdAJTAjQCGQIAAegB0QG5AaEBiAFvAVcBQAEtAR0BEQEHAQAA+ADwAOMA0gC8AKAAgQBhAEMAKQAWAAoABAACAAD/+//w/97/xf+l/37/Uf8d/uD+mv5L/fX9nf1I/Pz8vfyP/HD8XPxM/Dz8J/wK++j7xPuk+4r7eftv+2j7YPtP+zT7Dfrb+qH6ZPon+ez5tPl/+Uz5Gvjr+L/4l/h2+F34Svg8+DL4J/gZ+Af38PfV97f3mveA92r3W/dR9073T/dR91L3UPdI9zr3JPcH9uX2vPaP9l/2LfX69cj1l/Vo9T31FfTv9Mv0qPSE9GD0PPQX8/Pz0fOy85bzfPNm81DzPPMo8xTzAPLr8tXywPKp8pLye/Jk8kzyNvIg8grx9fHg8crxtPGf8YrxdfFi8VDxPvEs8RnxBPDv8NrwxfCy8KHwkfCD8HbwafBc8E3wP/Ax8CTwGfAP8AfwAO/67/Tv8O/v7+/v8u/37/7wBvAN8BPwF/Aa8BzwHPAc8BrwF/AS8AvwAu/37+vv3u/S78bvue+s75zvie9z71rvQe8n7xDu/O7t7uPu3u7d7uHu6O7y7v/vD+8h7zTvRe9U72DvZ+9r72zvbO9t727vcu9373zvgu+H74vvj++S75bvm++h76fvru+077vvwe/I79Dv2e/k7/Hv/vAL8BjwI/Ar8DDwMfAu8CbwG/AO7//v8u/p7+Pv4u/m7+3v9O/67/7v/u/87/bv7+/m79vvzu+/76/vne+L73rvbO9g71XvTO9A7zLvIO8L7vTu3e7J7rfuqe6c7pDugu5x7l7uSu427iTuFe4H7fvt7u3g7dHtwO2w7aHtlO2K7YHteO1w7WbtXe1V7U/tTO1L7UztTO1J7UHtM+0h7Qzs9uzh7NDswuy47K/sqOyh7JnskeyI7H/sduxt7GTsWuxR7EnsQ+w+7DzsO+w77DzsPOw77DrsO+w87D/sQ+xI7E3sUuxW7FrsXuxj7GnscOx57IHsieyO7JLslOyW7Jfsmuyd7KLsp+ys7LHstuy77MLsyezR7Nns4+zs7PTs/O0E7QztFe0f7SntM+097UbtTu1V7VvtYO1k7Wftau1s7W3tb+1y7Xbtfe2F7Y7tlu2e7aPtpu2o7antq+2w7bbtvu3H7dHt2e3h7ent8O347gDuCu4V7iDuLO427kDuSe5R7lfuXe5i7mbuae5s7m/uc+537n3ug+6K7pLum+6k7q/uu+7J7tju6O737wXvEO8Z7x/vI+8m7ynvLO8x7zfvP+9H71DvWu9k727veO+B74rvku+Z75/vpO+p763vsu+3777vx+/R793v6u/48AbwFPAh8CzwNfA68D3wPfA88DvwOvA88EDwR/BR8FzwaPB08H/wivCU8J3wpfCs8LHws/Cz8LLwr/Cr8KnwqPCq8K7wtfC98Mfw0fDc8Ofw8/D/8QvxFvEg8SrxM/E78UPxTPFX8WPxcPF/8Y3xnPGr8brxyPHX8ebx9fIF8hTyI/Ix8j/yTPJa8mnyd/KF8pPyofKu8rzyyfLX8uXy9PMC8xDzHfMp8zXzQfNO81zza/N684nzlfOg86fzrvOz87nzwPPJ89Tz4fPu8/z0CfQW9CP0MPQ99Er0VvRi9Gz0c/R69H/0hPSJ9JD0mfSj9K70ufTE9M/02vTl9PD0/fUK9Rj1JvUz9UD1TPVY9WT1b/V89Yj1lfWi9a/1u/XH9dP13vXq9fX2APYL9hb2IfYt9jr2SPZW9mX2c/Z/9or2lPad9qj2tPbC9tL24vbx9v33B/cN9xH3Ffca9yP3Lvc890z3XPdr93r3iPeX96f3uPfL99738PgC+BH4IPgu+D34Tfhg+Hb4jfim+MD42/j1+Q75Jfk6+Uz5Wvll+W75ePmE+ZX5rPnK+ev6Dvov+k36Zfp5+on6lvqk+rT6xfrX+un6+fsI+xb7I/sw+z/7Tvtf+3D7gPuQ+6D7sPvB+9b77fwH/CL8PfxX/HD8ifyi/Lz82fz4/Rn9O/1b/Xn9lf2u/cf94P38/hr+PP5g/ob+rf7T/vr/H/9D/2f/iP+o/8f/5AAAAB0AOgBYAHcAlgC1ANMA7wEIASABNwFPAWcBggGfAb4B3QH8AhoCNwJUAnECkAKwAtEC9AMYAzwDXwOBA6QDxgPrBBMEQARzBKsE6AUpBWsFrAXoBh4GTQZ1BpUGsAbHBtsG7Ab6BwcHEgccBycHMwdDB1gHdAeVB7gH2wf7CBQIJggxCDcIOgg+CEQITAhVCF0IYQhiCF8IXAhbCF4IZwh1CIIIigiGCHMITwgbB90HnAddByYG+gbWBrkGngaCBmIGQAYgBgQF8wXuBfUGBwYfBjgGTgZeBmcGagZpBmgGZwZpBm4GdAZ7BoEGhgaJBosGjAaOBo8GkQaSBpIGkAaLBoUGfQZ1Bm4GaQZlBmMGYwZjBmIGXwZaBlIGSQY/BjUGLQYmBiIGIAYeBhwGGgYXBhMGDgYIBgEF+QXxBegF3wXXBc8FyAXDBcAFvQW6BbcFswWvBasFqQWoBagFqgWsBa0FqwWlBZ0FkQWFBXkFbwVnBWEFXQVYBVAFRQU3BSUFEgT9BOkE2ATLBMEEvAS7BL4EwwTKBNAE1ATTBM4EwgSyBJ8EiwR6BG0EZgRkBGUEaARpBGYEXwRTBEUENwQqBCIEHQQcBBwEGwQaBBYEEAQJBAID/AP3A/QD8gPwA+8D7gPuA+0D7APqA+gD5APfA9oD1QPRA88DzgPPA9AD0QPSA9EDzwPMA8oDyAPIA8kDywPOA9ID2APhA+sD9gQDBA8EGgQjBCkELgQyBDYEOwRBBEYETARRBFQEVgRYBFsEYQRqBHUEhASUBKQEtQTGBNcE6AT4BQkFGgUrBUgFZAWDBaUFygXyBhoGQgZnBocGoga2BsQGzgbUBtgG3AbfBuEG4gbhBt4G2gbWBtMG0QbQBtIG1QbYBtwG3wbiBuYG6QbuBvMG+gcCBwsHFAceBygHMwc+B0oHVgdiB20HeAeCB4wHlQefB6kHswe+B8kH1AfgB+sH9wgBCAkIDQgMCAUH+AflB88HuQemB5gHkQeQB5MHmQefB6QHqQetB7EHuAfAB8oH0wfbB+AH4gfkB+YH6gfyB/wICAgTCBsIIAgiCCEIIAggCCMIKAgvCDYIPAhBCEYITQhVCGAIbgh9CIwImAiiCKgIrAiwCLUIuwjBCMUIxwjFCL8ItQirCKMInwihCKkIuAjLCOMI/QkbCTsJXQmACaMJxQnkCf8KFgopCjkKRwpUCmIKcAp+CowKmQqmCrMKwArOCt0K7Ar9Cw4LHwsuCzwLRwtOC1ELTwtKC0MLPQs3CzQLNAs1CzYLNgs0CzALLAsqCy0LNgtEC1ULaAt4C4MLhguEC3wLcgtpC2MLYQtjC2gLcAt6C4YLkgufC6sLtQu5C7gLrwuhC48LfQttC2MLXwthC2YLbAtvC28LbAtmC2ELXgteC2ILaAtxC3kLfwuFC4gLiguKC4gLhAt8C3ALYAtOCzsLKgsaCw8LCAsECwILAgsBCv8K+grzCuoK3QrPCsAKsAqhCpMKhwp9CnQKbAplCl0KVgpQCksKSQpICkcKRwpECj0KMwolChUKAwnvCdwJyAmzCZ0JhQlrCVEJNwkdCQUI7wjaCMYIswihCJEIhAh5CHIIbQhqCGcIYwhdCFMISAg6CCwIHAgLB/gH4wfLB7EHlQd4B1oHPQcgBwQG6AbMBrAGlQZ8BmYGUwZCBjQGJwYZBgoF+AXlBc8FuAWgBYgFcAVYBUAFJwUPBPcE3wTHBK8ElwR+BGMERQQlBAID3AO0A4sDYgM4Aw8C5gK/ApkCdQJUAjUCGgICAewB2AHEAbABmgGEAWwBVAE/AS0BIQEbARwBIQEoAS8BMQEtASABDADzANcAvgCpAJkAjwCJAIIAewBvAF4ARwAsAAz/5f+2/33/N/7k/of+Jv3F/W39Ifzm/Ln8l/x6/F78PfwZ+/P70Puz+5/7lfuS+477hvtx+077Hfrg+pz6V/oW+dv5pvl3+Uz5I/j9+Nj4t/ib+IX4dfhr+GT4XfhU+Ej4N/gh+Aj37ffT97z3qved95T3j/eK94X3ffdv91r3Pvcc9vT2yfaa9mn2N/YE9dL1oPVw9UL1F/Tv9Mn0pvSF9Gb0R/Qp9A3z8fPW87zzpPON83jzY/NQ8z3zKvMW8wHy6fLP8rHykfJw8lDyMvIX8gHx7fHc8czxu/Gq8Zjxh/F38WjxXPFR8UbxO/Eu8R/xDvD88Orw2PDH8LfwqPCb8I/whfB78HHwZvBa8EzwO/Ap8BbwBO/07+nv5O/i7+Tv5u/n7+bv4e/Z79Hvye/D77/vve+777nvte+v76bvne+T74nvf+9072fvVe9A7ybvC+7w7tnux+677rXus+607rfuue687sDuxu7Q7tzu6u747wTvDO8Q7xDvDu8L7wvvDe8S7xrvIu8r7zLvN+8870DvRe9L71PvW+9k723vd++A74nvku+c76bvsO+678Tvzu/W793v4u/k7+Pv3e/T78bvuO+q757vlu+S75Lvle+a757voO+h76Hvnu+a75TvjO+A73HvXu9L7zfvJe8V7wnu/+717uru3O7K7rfuou6O7n3ube5g7lTuR+457inuGO4F7fTt4+3U7cbtt+2p7ZntiO127WXtVO1F7TbtKO0a7Q7tA+z77Pbs9Oz07PXs9uz17PDs6Ozc7M/sweyz7KfsnOyR7Ifsfexz7GrsY+xe7FvsWexX7FTsUOxL7EXsP+w67DbsNOwz7DLsMewv7C7sLewt7C7sMOwy7DXsOOw67DzsP+xC7EfsTuxV7FzsYuxm7Gnsa+xs7G/scux37Hzsg+yJ7I7sk+yY7Jzsoeyn7K3ss+y67MHsyezR7Nrs5Ozv7PrtA+0L7RHtFu0Z7RztH+0k7SntL+007TjtPO0/7ULtRu1M7VLtWu1g7Wbtau1t7W7tb+1w7XLtdu177YLtie2Q7ZjtoO2n7a/tt+3A7cjt0e3b7ebt8u4A7g3uGe4j7iruLu4v7i/uL+4v7jLuN+4+7kfuT+5Y7l/uZ+5v7njug+6Q7p3uq+657sTuzu7W7t3u4u7o7u7u9u7+7wjvEu8d7ynvNe9B707vWe9l727vdu9874Dvg++G74rvj++W76Dvre+778vv2u/o7/Tv/fAE8AbwB/AG8ATwA/AD8AXwCvAR8BvwJfAx8D3wSvBW8GLwbfB38H/whfCI8IrwifCH8IbwhfCF8IbwifCN8JLwmPCf8KfwsfC88Mnw1/Dl8PPxAPEM8RjxI/Eu8TnxRPFP8VvxaPF08YLxkPGf8a/xwPHS8ePx9PIF8hXyJfIz8kLyUPJe8m3yfPKM8pzyrfK+8s/y3vLs8vnzBPMO8xjzJPMx8z/zTvNd82rzdvN/84fzjPOS85jzoPOp87PzvvPK89bz4vPv8/30DfQd9C30PfRK9FT0XPRh9GX0afRt9HP0e/SE9I70mfSj9K30uPTD9ND03fTr9Pr1CPUW9SP1L/U79Uj1VPVi9W/1ffWL9Zj1pfWx9b31yPXS9dz15vXv9fn2BPYQ9h32LPY79kv2WvZn9nP2fvaJ9pT2oPat9rv2yPbU9t725/bu9vb2/vcI9xT3Ifcu9zv3R/dS9173a/d694z3oPe098j32ffn9/P3/vgK+Bn4K/hB+Fr4c/iO+Kj4wvjc+PT5DPkg+TH5PvlH+U35U/lc+Wz5g/mj+cj57/oU+jT6Tfpg+m76evqI+pf6qvq/+tT65/r4+wb7E/sg+y/7QPtU+2j7fPuO+5/7r/u/+9L75/wA/Br8NvxS/G38hvyg/Lr81fzz/RH9MP1O/Wv9hf2e/bf90v3w/hH+Nv5d/oX+rf7T/vn/Hf9B/2P/hP+j/8H/3f/4ABMALQBJAGUAgwChAL4A2gD0AQ0BJAE7AVQBbgGKAagBxwHnAgcCJwJGAmYChQKlAsUC5QMHAysDUAN5A6UD1AQFBDgEbQSjBNkFEAVGBXwFsAXhBg4GNAZTBmsGfgaNBpsGqga6Bs0G4Ab0BwcHGQcsB0AHVwdyB48HrQfIB98H7wf4B/wH/Qf/CAQIDAgWCB8IJAgjCB4IFQgOCAwIEwghCDQIRQhLCEAIHwfnB54HSgb1BqcGaAY4BhgGAgXyBeMF0wXCBbEFpAWeBaAFqgW7Bc4F4gXyBf0GAgYDBgEF/wX/BgIGCAYRBhwGKAYyBjoGPwZCBkIGQAY9BjkGNQYwBiwGJwYhBhwGFwYUBhIGEwYUBhcGGgYbBhoGFgYQBgoGAwX+BfkF9gX0BfEF7QXoBeEF2gXSBcwFxgXBBb0FuQW1Ba8FqAWhBZkFkQWIBX8FdgVuBWYFYAVcBVsFXAVeBWAFXwVbBVQFSQU8BTAFJgUfBRsFGQUXBRQFDQUCBPQE4gTRBMAEsQSmBJ0ElwSSBI4EjASKBIgEhwSFBIEEewRxBGUEVwRKBD4ENgQxBC8ELwQvBC4EKQQjBBoEEgQLBAUEAgQAA/4D+wP2A/AD6QPjA94D2wPaA9kD2QPYA9YD0wPPA8wDygPIA8cDxQPCA74DugO1A7IDsAOwA7EDswO1A7YDtwO3A7cDtwO3A7cDuAO7A74DwwPKA9MD3QPnA/ID+wQEBAoEEAQWBBwEJAQtBDYEPwRGBEwEUARUBFgEXgRnBHMEgASQBJ8ErwS+BM0E3QTuBQEFFgUuBVcFegWgBcYF7QYUBjoGXwaABp0GtAbFBtIG2wbhBuUG6gbuBvIG9Qb2BvUG8wbuBukG5AbeBtkG1QbQBswGyAbFBsQGxAbIBs4G1wbiBu8G/AcJBxcHJAcwBz0HSQdUB18HaQdyB3sHgweNB5gHpAexB78HzQfaB+YH7gfyB/EH7AfhB9IHvwesB5sHjQeFB4EHgweHB4wHkAeTB5MHkweUB5YHmweiB6kHsAe1B7gHuQe6B70HwgfLB9YH4QfqB/EH8wfzB/IH8gf1B/sIAggKCBIIFwgbCB4IIwgrCDYIRQhVCGMIbwh3CHwIfwiECIsIkwidCKQIpgiiCJYIhQhzCGMIWwhcCGgIfQiYCLcI1wj1CRMJMAlNCWsJiwmqCckJ5gn/ChUKJwo2CkIKTApXCmEKbAp5CoYKlAqkCrQKxQrWCucK+QsJCxgLIwsrCy4LLQsoCyILGwsXCxULFgsaCx8LIgslCyYLJwspCy4LOAtHC1oLbguAC44LlwuaC5gLlAuPC40LjguTC5wLqAu2C8YL1gvkC/EL+Av6C/QL6QvZC8gLuAusC6ULowulC6gLqQunC6ALlguKC4ALeAt0C3MLdQt3C3oLewt7C3sLegt4C3QLbgtkC1ULQgssCxYLAQrwCuQK3QrbCtsK3QrgCuEK4ArdCtkK0grICrwKrgqeCo0KfApsCl0KUQpHCkAKOwo4CjcKNwo3CjgKNwo0Ci4KJAoXCgcJ9AnfCcgJsAmXCX0JYglICS0JEwj5COAIxwivCJYIfghoCFUIRwg9CDkIOQg7CD0IPAg3CC4IIAgNB/kH5AfPB7sHpweUB4EHbQdYB0IHKgcRBvYG2wbABqYGjwZ6BmcGWQZMBkEGNgYrBh4GEAX/Be0F2AXCBaoFkAV2BVkFPQUiBQcE7gTXBMAEqQSQBHQEVQQyBAwD5AO6A5ADZgM9AxQC6wLEAp4CeQJXAjkCHgIHAfQB4wHUAcUBtQGkAZIBfwFtAV4BVAFQAVMBXAFnAXMBewF8AXUBZgFQATYBGgEBAOoA1gDFALQAowCRAH4AagBWAEEAKQAJ/+D/qf9j/xH+tf5V/fr9p/1g/SX89PzI/J/8dfxL/CL7/fvf+8r7vfu1+6v7m/uA+1n7Jvrq+qr6bPox+f35z/ml+X35V/kx+Q346/jN+LX4pPiY+JL4jviL+If4f/h0+GX4U/g/+Cr4F/gE9/T35ffW98f3tPee94L3Yvc89xP25va59or2WvYq9fn1x/WW9WX1NfUJ9N/0uvSY9Hr0XvRF9C70F/QB8+vz1vPB863zm/OL83vzbPNc80jzMPMT8vHyzPKl8oHyYfJH8jPyJPIY8gzyAPHx8eHx0PHB8bTxqvGi8Z3xl/GP8YbxefFr8VvxS/E88S7xIvEX8QzxAvD58O7w4fDR8L7wpvCK8GvwTPAt8BPv/u/u7+Hv1+/L773vq++X74Pvce9k71zvWO9Y71jvWO9V71DvSe9C7zzvN+8y7yvvIu8U7wHu7O7W7sLus+6q7qXupO6l7qXuo+6g7p3um+6c7qHuqO6w7rbuuu647rPure6m7qPupO6q7rTuv+7K7tTu2+7h7uXu6u7w7vfvAe8M7xnvJu8z70DvTO9Y72PvbO9173zvgu+H74zvku+V75fvl++S74nvfe9w72LvVu9N70jvRu9H70jvSu9L70vvS+9K70fvQ+887zHvI+8R7v7u6e7V7sTute6n7pvuj+6C7nTuZe5W7kjuOu4u7iHuFO4F7fTt4e3N7bjtpe2T7YPtde1p7V7tUu1G7TftJ+0V7QHs7ezZ7Mjsuuyw7KrsqOyn7KfspOyf7Jjsj+yF7H3sd+xz7HDsbOxm7F3sUexD7DXsKOwg7BvsG+we7CPsKOws7C/sMOwv7C7sLOwq7CfsI+wg7BzsGewX7BbsFuwX7BjsGewa7BrsG+wd7CHsJewq7C/sNOw47DvsPuxB7EXsSuxQ7FbsXOxi7Gbsauxt7HHsdOx47H3sgeyG7Izsk+yb7KTsr+y67MTszezT7Nbs1+zX7Nfs2eze7OXs7ez27P/tBe0K7Q3tEO0T7RftHe0i7SjtLe0x7TPtM+0z7TPtM+017TjtPe1D7UvtU+1c7WTta+1x7Xftfu2F7Y7tmu2o7bftx+3V7eDt6O3s7e7t7+3w7fTt++4D7gvuFO4a7h7uIO4h7iPuJ+4t7jfuQu5Q7l3uae517n/uh+6Q7pnuo+6t7rnuxe7R7t3u6u737wXvE+8h7y7vOu9D70rvT+9T71bvWu9h72rvde+C75Lvoe+v77zvx+/P79Tv1+/Y79jv1+/X79nv2+/f7+Tv6+/07/3wCPAU8CHwLfA58ETwTfBV8FvwX/Bi8GTwZvBo8Grwa/Bs8GzwbfBv8HLwePCB8IzwmvCq8Lrwy/Da8Onw9fEB8QzxFvEg8SrxNfFB8U/xXfFt8X7xkPGj8bbxyPHa8ezx/fIN8h3yLfI98k7yX/Jw8oLyk/Kk8rPywvLO8tvy5vLy8v7zC/MZ8yfzNfNB80zzVfNc82Tza/N0837ziPOT857zqPOy87vzxPPP89zz6vP69Ar0GvQn9DL0O/RB9Ef0TfRT9Fv0Y/Rr9HP0e/SD9Iz0lfSg9K30u/TJ9Nj05/T19QL1DvUb9Sn1N/VF9VX1ZPVz9YH1j/Wb9af1svW89cT1zfXV9d716PXz9gD2DvYe9i72PfZL9ln2ZvZy9n/2i/aY9qT2r/a59sL2yvbU9t/27Pb79wr3GPck9y73N/dA90n3Vfdk93X3iPeZ96n3tffA98r31vfl9/j4D/go+EH4Wfhx+If4nvi4+NT48vkQ+Sr5PflJ+U75T/lR+Vj5aPmC+aX5zPnz+hX6L/pB+k36V/pi+nH6hfqc+rb6zvrj+vX7BPsT+yP7NvtM+2P7evuP+6L7svvA+9D74fv2/A78KPxE/GD8e/yW/LH8zPzp/Qb9I/0//Vr9dP2N/af9wv3h/gL+KP5P/nj+of7I/u7/Ev81/1f/d/+V/7L/zv/pAAIAHAA3AFIAbgCLAKcAwwDdAPYBDgEnAUEBXAF4AZUBswHSAfECEQIxAlICcwKVArkC3QMEAy8DXgORA8gEAgQ9BHUEqgTbBQYFLwVVBXoFoAXGBesGCwYnBjwGTAZYBmQGcQaBBpUGqwbCBtcG6Qb6BwsHHQczB0wHaAeFB54HsQe9B8MHxQfFB8YHyQfPB9QH1gfVB9AHyAfDB8QHzQfdB/IIAwgIB/sH1geaB0oG8AaWBkUGBAXWBboFrAWlBaAFmgWQBYMFdgVtBWgFagVzBYEFkQWhBbAFvAXEBcoFzQXOBdAF0gXUBdgF3AXfBeIF5AXjBeIF3wXcBdoF2QXaBdwF3gXeBd4F3AXZBdYF1QXVBdgF3AXgBeIF5AXjBeAF3AXYBdQF0QXOBcoFxQW+BbYFrQWlBZ0FmAWTBZAFjAWIBYEFeQVxBWcFXgVWBU4FRwU/BTYFLQUlBR4FGAUVBRIFEAUNBQgFAQT5BPEE6QTiBN4E2wTYBNQEzgTFBLsErwSjBJkEkASJBIMEfQR3BG8EZgReBFYEUQRMBEgERAQ/BDcELgQlBBwEFAQQBA0EDAQMBAoEBwQBA/sD9APuA+gD4wPeA9kD0gPLA8MDvAO2A7MDswO0A7UDtgO1A7MDsAOsA6oDqQOpA6sDrAOsA6oDpwOiA50DmQOWA5UDlQOWA5cDmAOaA5sDngOgA6MDpwOrA68DtAO5A78DxgPPA9cD4APpA/ED+QQBBAoEEwQdBCcEMQQ5BEAERgRMBFMEWwRlBHEEfwSNBJsEqQS2BMQE1QToBP4FGQU3BWUFiwWxBdgF/gYjBkcGaQaHBqIGtwbGBtAG1gbYBtkG2QbaBtwG3wbhBuQG5AbjBuAG2wbVBs0GxQa8BrQGrAamBqMGpAaoBrAGuwbJBtgG5wb2BwQHEQcdBygHMgc8B0YHUAdaB2UHcQd9B4wHmwerB7oHxwfRB9YH1gfQB8QHtAeiB48HfgdyB2sHagdvB3cHgAeHB4sHiweHB4EHewd3B3cHegd/B4YHiwePB5IHkweVB5kHoAepB7IHuwfAB8MHwwfCB8IHxQfLB9UH3wfoB+8H8gf0B/UH+QgACAsIGggqCDgIQghKCE8IVAhaCGQIbwh5CH4IewhuCFgIPAghCA0IBggQCCkITwh8CKsI1Qj4CRQJKQk8CU4JYwl7CZYJswnOCecJ/AoNChoKJQouCjgKQQpNClkKZgp0CoIKkgqiCrMKxArVCuQK8Qr6Cv8K/wr8CvcK8gruCu0K8Ar2Cv4LBwsQCxkLIgsrCzULQgtSC2QLeAuLC5wLqgu0C7sLvgvAC8ALwAvBC8QLyQvPC9gL4QvqC/ML+Av5C/cL8QvqC+QL4QvgC+ML5wvqC+oL5AvaC8sLvAutC6ILnAuZC5gLmAuVC48Lhgt8C3ILaQthC1sLUwtICzgLIwsLCvAK1wrBCrEKpgqiCqEKowqlCqkKrAqwCrQKtwq4CrYKsAqmCpYKgwpuClgKRAo0CicKHwobChkKGgobChwKGwoYChMKCQn8CewJ1wm/CaQJhwlpCUsJLQkQCPQI2Qi/CKYIjAh0CFsIRAgwCCAIFQgPCA4IEAgTCBQIEggLB/4H6wfVB7wHpAeOB3sHbAdeB1MHRwc5BycHEgb5Bt0GvwahBoMGZwZPBjkGJgYVBgYF+AXrBeAF1QXLBcEFtgWpBZoFhgVvBVUFOQUdBQEE5wTOBLYEnQSEBGcERwQlBAAD2wO1A48DaQNDAx0C9gLQAqoChwJmAkgCLgIYAgUB9QHmAdgBygG8Aa4BoQGWAYwBhgGCAYIBggGDAYIBfgF0AWUBUQE4ARwA/wDiAMcArACSAHkAYABIADMAIQATAAf//P/t/9f/tP+D/0T++f6n/lL+Af22/XX9PP0K/N38tPyM/Gf8Rfwo/A/7+Pvj+8z7sPuP+2f7O/sL+tz6rfqB+lf6LvoE+dj5q/l9+VD5JvkA+OH4yvi4+K34pvii+J/4nfiZ+JP4ivh/+HH4YfhP+D34K/gZ+Ab38vfb98L3o/eB91r3MPcD9tP2ovZv9jz2CPXT9Z/1bPU69Qv03vS19I/0bPRM9DD0FvP+8+jz1PPC87PzpfOa84/zhfN482nzVvM98yHzA/Ll8srys/Ki8pXyi/KC8nbyaPJW8kPyL/Ie8hDyBfH+8fjx8vHs8eTx2/HS8crxw/G98bbxrvGk8ZXxhPFw8VrxRPEt8RTw+fDc8LzwmfB18FPwM/AW7/3v5e/N77Tvme9871/vRe8w7yDvFu8R7w3vCe8D7vzu8+7s7ubu5O7k7ubu5u7i7truz+7B7rLupu6d7pjule6U7pHuje6I7oHufO557njuee567nnudO5s7mDuU+5J7kLuQu5H7lLuXu5r7nXufe6C7obuie6N7pPunO6n7rTuw+7T7uTu9O8E7xLvHu8m7yzvMO8z7zXvOO8870DvQ+9E70HvO+8x7yXvGe8P7wfvAu7/7v7u/u797v3u/O767vnu+O727vLu6+7f7tHuv+6r7pbug+5x7mHuU+5G7jruLu4h7hXuCe387e7t4O3Q7b7tqu2U7X7tZ+1S7UDtMe0m7R7tF+0Q7Qfs+uzp7NTsveym7JDsf+xy7GvsZ+xl7GDsWexO7EDsMewl7BzsGewb7CDsJewn7CTsG+wM6/vr6uvb69Pr0OvU693r6Ov06//sCOwO7BLsE+wS7A/sC+wG7AHr/uv76/rr+uv66/vr/Ov86/vr++v76/3r/+wC7AbsCuwN7BDsFOwX7BzsIewm7CvsL+wz7DbsOOw67D3sQexF7ErsTuxT7FfsXOxj7Grsc+x97IbsjuyU7Jfsl+yW7Jbsl+yb7KHsqeyz7LzsxOzJ7M7s0ezU7Njs3Ozi7Ojs7ezy7PXs9+z37Pfs+Oz57Pvs/+0F7Q3tFe0e7SftLu007TntPO1A7UXtS+1U7WDtbO167Ybtke2Z7aDtpu2s7bPtvO3G7dDt2e3f7ePt5e3l7eXt5+3q7e/t9+4A7gnuE+4b7iTuLO417j/uSu5W7mPucO597onulu6i7rDuvu7N7tzu6+747wTvDu8X7x7vJe8t7zXvQO9M71nvZ+9274TvkO+c76XvrO+x77Xvt++477nvue+577rvvO/A78bvze/X7+Lv7+/88AjwFPAf8CjwMfA48D7wRPBI8EzwT/BP8E/wTfBL8EvwTPBR8FnwZfBz8IPwlPCl8LTwwvDO8Nrw5PDu8PjxBPER8R/xL/FB8VTxZ/F78Y7xofG08cbx1/Hp8fryDPIf8jLyRPJX8mfyd/KF8pLyn/Kr8rfyxPLT8uPy8vMC8w/zG/Ml8yzzM/M680LzTPNY82XzcvN/84rzk/Oa86HzqfOx87zzyfPX8+Xz8/QA9Av0FPQd9Cb0LvQ39ED0SPRQ9Fb0XPRi9Gn0cfR89In0l/Sm9LX0xPTS9OD07fT79Qr1GvUq9Tr1SvVa9Wr1ePWG9ZP1n/Wr9bX1vvXH9dD12vXl9fH1/vYM9hr2J/Y19kL2T/Zc9mr2ePaG9pP2nvao9rL2u/bG9tL24Pbu9vz3CfcU9xz3JPcs9zX3QfdP91/3bvd794X3jfeW96H3sPfE9933+fgU+Cv4P/hQ+GH4dviR+LT43vkK+TL5Ufli+Wb5YflZ+VX5W/lu+Y75t/nh+gb6Ivo0+jz6QPpF+k/6X/p3+pP6sPrK+uD68/sE+xX7Kfs/+1j7cvuK+5/7sfvA+8773Pvt/AH8Gfwy/E38aPyD/J78uvzW/PP9EP0u/Uv9Zv2B/Zz9t/3T/fH+Ef40/lj+fP6g/sT+5/8J/yv/Tf9t/43/rP/K/+cABAAgADwAVwByAIwApQC+ANgA8gENASoBSAFmAYQBogG/AdsB+QIXAjcCWgKAAqkC1gMHAzwDdgO0A/QENARxBKkE2QUBBSIFPQVXBXIFjgWrBckF5QX9BhAGHwYrBjcGRwZbBnMGjQanBr0GzwbcBucG8Qb/BxEHKAdCB1sHcAd/B4YHhweEB34HeQd2B3QHcgdxB3EHcwd4B4MHkwemB7cHvwe4B54HbgcrBtwGiQY8BfwFzQWwBaEFmwWYBZMFiQV6BWgFVgVGBTwFOQU9BUYFVAVmBXoFjwWiBbQFwgXLBdAFzwXLBcMFuwWyBaoFowWeBZoFmAWYBZoFngWlBa0FtAW6Bb0FvQW6BbYFsQWuBa0FrgWwBbMFtQW1BbQFsgWwBa0FrAWrBakFpgWiBZwFlAWMBYQFfQV1BW0FZAVaBU4FQQU1BSsFIwUeBRwFGgUXBREFCQT+BPEE5QTaBNIEzATIBMYEwwTABLwEtwSxBKsEpgSgBJoEkwSLBIIEeQRxBGoEZQRgBFsEVgRQBEgEQAQ4BDAEKgQlBCEEHQQYBBMEDAQFA/8D+gP2A/QD8wPyA+4D6QPiA9oD0gPKA8MDvQO3A7ADqQOhA5kDkgONA4oDigOLA4wDjQOMA4sDiAOGA4YDhwOJA4wDjgOPA44DigOGA4EDfQN6A3gDeAN5A3oDfAN/A4IDhgOLA5EDlwOdA6IDpgOqA64DswO6A8IDzAPXA+ID7gP4BAMEDAQVBB4EJgQuBDUEPQREBE0EVwRiBG8EfASIBJUEogSvBL4E0ATmBQAFHgVABWEFhwWtBdMF+AYcBj4GXwZ9BpcGqwa4Br8GwAa8BrUGrQanBqMGogaiBqQGpganBqcGpQahBpwGlwaSBo4GigaJBooGjgaUBp4Gqga4BscG1QbjBvAG/AcGBw8HFwcgBykHNAdAB04HXQdtB34HjgeeB6sHtAe4B7cHrwehB48HegdlB1MHRgc/B0EHSAdUB2IHbQd0B3YHcgdqB2EHWQdUB1MHVgdbB2EHZgdqB2wHbgdyB3cHfweHB48HlAeXB5YHlAeSB5IHlgeeB6gHsge6B78HwQfBB8MHxwfPB9wH7Af7CAoIFAgcCCMIKwg1CEEITghWCFcITQg2CBYH8wfVB8MHxQfcCAYIPgh8CLcI6AkNCSQJMAk4CT8JSQlZCW8JhwmgCbgJzAncCekJ9An+CgcKEQobCiUKLwo6CkUKUQpeCm0KfgqPCqEKsAq9CscKzArOCs4KzArKCsoKzQrSCtsK5gryCwALDgsdCywLPAtNC2ALdQuLC6ELuAvMC90L6QvwC/AL6wviC9cLywvDC70LvAu+C8ILyAvNC9IL2AvfC+oL9wwHDBcMIwwqDCkMHwwOC/sL6AvZC9ALzQvOC9ALzQvFC7ULoAuIC3ELXQtNC0ILOAssCxwLBwrsCs8KsQqWCoAKcApnCmIKYQpiCmUKawpzCn8KjAqbCqcKrgqvCqgKmAqBCmcKSwowChoKCAn9CfYJ8wnyCfIJ8gnwCesJ4wnWCcQJrgmTCXYJVQk0CRMI8wjUCLcInAiDCGsIVQhACC0IHAgPCAQH/Qf5B/YH9AfwB+oH4QfTB8IHrgeYB4MHbwddB04HQgc3BysHHgcMBvcG3Aa9BpwGeQZWBjYGGAX+BeYF0AW7BacFlQWEBXcFbwVqBWgFaAVmBWIFWQVLBTcFHwUFBOoE0AS3BJ8EhgRsBFAEMQQRA/ADzgOtA4wDawNJAygDBgLkAsMCpAKIAm8CWAJDAi0CGAIBAesB1gHCAbEBpAGZAZEBiQGAAXUBaAFXAUQBLgEWAPwA4wDIAK4AlAB6AGAARQAqAA//9f/d/8f/tv+q/6H/m/+T/4f/cv9S/yb+7v6s/mT+Gv3U/ZL9Wf0p/QD83/zE/Kv8lPx8/GP8R/wn/AX74Pu7+5f7dvtX+zr7HvsA+t76tvqH+lL6Gfng+aj5dPlG+R/4/vji+Mr4tvim+Jn4jviH+IH4e/h1+G34Y/hY+Ez4Qfg3+C/4J/ge+BP4Avfs9833pvd490T3DPbS9pj2X/Yo9fL1vvWK9Vb1IvTt9Lj0hvRW9Cz0BvPo88/zu/Os86Hzl/OP84fzfvN082nzXPNP80HzNPMq8yHzHPMX8xLzCvL+8u3y1/K/8qbyj/J78mzyYfJX8k7yRPI58i7yJPId8hvyHfIh8iLyHvIS8f3x3/G88ZbxcvFS8TfxIPEK8PPw2vC98J7wffBc8D3wH/AB7+Pvw++j74LvYu9F7y3vGe8J7vzu7u7g7tHuwe607qrupe6k7qjurO6v7rDure6m7p3ulO6L7oTuf+567nXub+5p7mLuXO5X7lTuUe5N7kbuO+4t7hvuCu377fLt7+3z7f3uCe4W7iHuKe4v7jLuNO437jvuQe5J7lPuX+5u7n7uke6k7rfuyO7V7t/u5e7o7unu6u7t7vDu9O747vju9u7w7ubu2+7P7sXuve647rXus+6x7q/ure6r7qvuq+6s7qzuq+6n7p/uk+6D7m/uW+5H7jTuI+4U7gbt+e3r7d3tz+3A7bLto+2U7YXtdO1h7U3tN+0h7Qzs+ezq7N/s1uzQ7Mjsv+yx7J/siexy7F3sSuw87DHsKuwj7BrsDev76+fr0eu/67Lrreuw67jrw+vM69Hrz+vH67rrquub64/rieuJ647rmOuk67HrvevI69Hr2Ovc697r3+vf6+Dr4Ovh6+Pr5evn6+jr6Ovo6+br5Ovi6+Lr4uvj6+Xr5+vo6+rr7Ovu6/Dr8+v16/jr+uv76/3r/uwB7AXsCuwP7BXsGuwe7CHsJOwn7CzsMew47EDsR+xO7FPsVuxY7FnsW+xe7GLsZ+xt7HTseex/7ITsiOyN7JPsmeyg7KbsrOyw7LTstuy57LvsvezB7MXsyezP7Nbs3ezl7O3s9ez77QDtA+0F7QftCe0M7RHtGO0h7SvtNu1B7UrtVO1d7Wftce177YbtkO2a7aLtqe2w7bXtu+3A7cbtzO3R7dXt2e3c7d/t4+3o7fDt+e4E7hDuHe4p7jbuQu5O7lruaO537oful+6o7rnuyO7W7uPu7e737wHvCu8U7yDvLe8770rvWe9o73bvgu+M75Tvmu+d75/vn++e75zvm++b75zvoO+m767vuO/E79Dv3e/o7/Pv/PAF8A3wFPAb8CHwJvAq8CzwLPAr8CnwKfAr8C/wNvBB8E/wXvBu8H3wjPCa8KbwsvC98Mnw1vDk8PPxBfEX8SvxQPFU8WnxfPGP8aLxtPHG8djx7PH/8hPyJvI58knyV/Jk8m/yevKG8pPyofKx8sLy0vLh8u7y+fMB8wjzD/MY8yHzLfM680jzVPNg82nzcfN3837zhvOQ85vzqPO188Pzz/Pa8+Tz7vP39AH0CvQU9B30JvQt9DP0OfQ/9Ef0UfRd9Gr0efSJ9Jj0p/S29MT00/Tj9PP1A/UT9SP1M/VD9VL1YvVy9YL1kfWg9a31ufXF9dD12vXm9fH1/fYI9hP2HvYo9jP2P/ZM9lv2avZ69oj2lfag9qr2tPa99sj20/bf9ur29Pb89wT3DPcV9yD3Lvc990z3WPdi92j3bvd294L3lPet98v36fgF+Br4Kvg2+EP4Vvh0+J340PkG+Tf5W/lv+XH5ZvlW+Uz5T/lj+Yj5uPnr+hj6OPpI+kv6Rfo++jz6RPpV+m/6jPqq+sT62vrt+v/7Evso+0H7XPt3+5D7pfu3+8f71vvl+/j8Dfwj/Dz8Vfxt/Ib8nvy4/NT88f0Q/S/9Tv1t/Yr9pv3A/dv99f4P/iv+R/5l/oT+pP7F/uj/DP8x/1X/ev+e/8H/4gABAB4AOQBTAGsAggCaALQA0ADtAQ0BLgFPAW8BjgGqAcYB4gH/Ah8CQwJsApsCzwMIA0YDhgPIBAoESQSDBLUE4AUCBR8FOAVQBWcFgAWZBbEFxgXXBeUF8AX9Bg4GJQZEBmcGjQavBssG3gbnBukG6AbnBusG9AcCBxIHIgctBzMHMwctByUHGwcSBwsHCQcKBxAHHAcuB0QHWwdvB3kHdQdeBzMG+AaxBmgGJQXvBcsFuAWxBbIFsgWtBaAFiwVxBVQFOgUmBRgFEQURBRUFHgUsBT4FVAVtBYYFngWxBb0FwQW+BbUFqAWaBY4FgwV7BXUFcgVyBXMFdwV+BYYFjgWWBZsFnQWcBZkFlAWQBY0FiwWMBY0FjgWPBY4FjQWLBYoFiQWIBYgFhgWEBYAFewV0BW0FZAVbBVAFQgUyBSAFDQT8BO4E5ATgBOAE4gTkBOME3QTUBMYEtgSnBJsEkQSLBIgEhgSEBIEEfQR3BG8EaARhBFoEUwRMBEUEPgQ3BDAEKgQkBB8EGgQVBBAEDAQIBAQEAQP+A/sD9wPyA+wD5gPhA9wD2APWA9UD0wPQA8sDxAO7A7IDqAOgA5gDkgOMA4YDgAN4A3EDawNmA2IDYQNhA2EDYgNhA2EDYANgA2EDYgNlA2cDZwNmA2QDYANcA1gDVgNXA1gDWwNeA2EDZANnA2oDbwN0A3sDggOIA40DkgOWA5sDoQOpA7MDvwPNA9sD6AP0A/4EBwQOBBUEHAQjBCoEMwQ8BEYEUQRcBGcEcgR+BIkElQSiBLIExgTeBPkFGgU8BUwFcQWWBbsF3wYBBiMGQgZeBnUGhgaRBpQGkgaKBn8GdAZqBmMGXwZdBl0GXgZfBl8GXwZfBmAGYwZnBmwGcgZ5BoAGiAaQBpkGowauBrsGyAbWBuIG7gb5BwIHDAcWByAHLQc6B0oHWQdpB3gHhQeQB5gHnQedB5gHjweBB28HWwdHBzUHKQciByIHJwcxBzsHRQdKB0sHSAdCBzsHNgc0BzUHOAc9B0IHRQdIB0oHTAdQB1UHXAdjB2kHbQdtB2sHaAdmB2YHaQdvB3cHfgeEB4cHiAeKB40HlAegB68HvwfPB90H6QfyB/sIBwgUCCMILwg2CDMIJAgKB+kHyQeyB6wHuwfgCBYIVgiXCNAI+wkWCSMJJwkoCSoJMglACVQJaQl+CZEJnwmqCbMJuwnDCcwJ1gngCeoJ8wn7CgMKDAoXCiQKNApFClcKagp7CokKlgqgCqcKrQqxCrQKuAq8CsIKygrVCuEK8AsACxELIws3C0wLYwt+C5oLuAvWC+8MAgwLDAoL/wvsC9YLvwutC6ALmwucC6ILqwu2C8IL0QvjC/sMGAw4DFcMcQyBDIYMfgxtDFYMPgwrDB8MGQwXDBUMDQv+C+ULxQuiC4ALYwtMCzoLLAseCwsK8wrWCrUKkwp1ClsKSQo8CjUKMQowCjIKNgo/CkwKXgpzCokKmwqmCqgKnwqLCnAKUAouCg8J8wneCdAJxwnDCcIJwgnBCb4JuAmsCZsJhAlpCUsJKwkKCOkIygitCJIIeQhhCEsIOAgnCBgIDQgEB/0H9gfvB+YH2wfNB70HqweZB4YHdQdlB1YHSQc7By4HHwcOBvoG4gbFBqUGgQZcBjcGFQX3Bd4FygW6BawFngWPBX8FbgVdBU8FRQU/BT4FPwVABT4FNwUqBRcFAATnBM0EtASdBIgEcgRcBEMEKAQLA+wDzAOsA4wDbQNOAzADEwL4AuACygK3AqQCkQJ8AmICRAIjAf8B3AG7AZ8BhwF0AWMBUgE/ASgBDgDxANQAtwCbAIMAbgBZAEYAMgAcAAX/7f/U/7z/pv+S/4L/c/9o/17/Vf9M/0D/L/8X/vb+zf6a/l/+Hv3d/Z39Y/0z/Q388vzf/NH8xfy2/KH8hPxi/Dv8E/vv+9D7ufun+5n7i/t3+1r7M/sC+sn6jPpO+hP53fms+YD5V/kw+Qn45PjB+KL4h/hz+GP4V/hO+EX4PPg0+C34Kfgp+C34Nvg/+Ef4SfhB+C34DPff96j3bPcu9vL2ufaG9lb2KPX59cf1j/VS9RP00/SV9F/0MvQO8/Xz4/PX887zxvO887HzpPOX84vzgfN683jzevN/84XzivOL84fzevNn80zzLvMP8vLy2/LJ8rzysvKn8pryiPJz8l7yTPJB8j3yQfJI8k7yTvJC8iryBvHa8a3xhPFi8UrxOvEv8SXxGPEG8O7w0vCy8JHwcvBT8DTwFe/179Tvs++T73bvW+9E7y7vGu8F7vDu2+7H7rbuqu6k7qHuoe6j7qPuoe6c7pTui+6C7njub+5l7lzuUu5I7kDuOO4y7i7uKu4k7hzuD+3/7ezt2u3K7b/tuu297cXt0O3d7ert9O387gLuBe4I7gruC+4M7g7uEu4Z7iTuM+5G7l3udO6K7pzuqe6w7rTutO607rTute627rbute6w7qjunu6R7oXueu5x7mruZe5i7l/uXO5a7lnuWe5a7lvuXe5c7lfuUO5D7jTuIu4Q7f7t7e3e7dDtwu2z7aTtlO2E7XTtZe1Y7UvtP+0x7SHtDuz47OHsyuy17KLslOyJ7IDseOxu7GLsUuxA7C7sHOwM6/7r8evk69Xrwuus65Tre+tk61TrSutJ607rWetk62/rdet363PrbOti61frTutH60PrQ+tG60zrVetg62zreOuF65Hrneun67HruuvD68vr0uvW69nr2evX69Tr0OvM68nrx+vF68XrxOvD68LrwOu/677rveu9673rvuu/68DrwuvF68jrzuvT69nr3+vj6+br5+vp6+rr7Ovw6/br/OwE7AvsEuwX7BzsIOwj7CbsKOwq7CzsL+wy7DfsPOxE7EzsVOxc7GPsaOxs7G/scex07HjsfOyB7IfsjOyR7Jbsm+yh7Kfsruy27L3sw+zI7MvszuzQ7NPs1+zc7OTs7Oz17P7tB+0P7RjtIO0o7TLtPe1I7VTtYe1t7XnthO2O7Zftnu2j7abtqO2q7artrO2u7bLtuO3A7crt1e3h7e7t+u4H7hTuIe4v7j/uT+5h7nPuhe6X7qbutO7A7sru1O7c7ubu8e7+7w3vHu8v7z/vT+9d72nvcu95737vgu+D74Pvgu+B74DvgO+B74Xviu+S75zvpu+x77rvw+/L79Pv2+/i7+vv8u/68AHwBvAJ8ArwC/AM8A7wEvAY8CLwLfA78ErwWfBo8HbwhPCS8KDwrvC98M7w4PDz8QfxHPEx8UbxWvFt8YDxk/Gl8bjxy/Hf8fLyBfIX8ifyNfJC8k7yWfJl8nLyf/KO8p3yq/K48sTyzvLY8uHy6/L28wHzDvMa8yXzL/M38z/zRfNN81bzYPNt83vzivOX86Tzr/O488HzyfPR89vz5PPu8/fz//QH9A/0F/Qh9Cz0OPRH9FX0ZPRz9IL0kfSg9LD0wfTS9OT09PUE9RP1IvUw9UD1UPVh9XP1hfWX9ab1tfXB9c312PXk9e/1+vYE9g72F/Yf9ij2MvY+9kz2XPZr9nn2h/aR9pv2pPas9rb2v/bJ9tP23Pbk9uv29Pb/9wz3G/cr9zr3RvdP91X3Wvdi92/3gved97v32vf2+Ar4Gfgk+DD4Qvhg+Ir4vPjw+R75P/lO+Uz5QPkx+Sr5NflU+YX5w/oC+jf6W/pq+mf6VvpC+jP6Lvo2+kv6Z/qG+qP6vfrS+uT69/sL+yL7PPtY+3L7ivug+7P7xPvW++n7/fwT/Cn8P/xV/Gn8fvyU/Kz8xvzk/QT9Jf1H/Wf9hf2h/bv90/3q/gH+GP4w/kv+aP6I/qr+z/71/xv/Qv9p/47/sf/S//EADgAqAEQAXgB4AJMAsADOAO4BDgEvAVABcAGPAa0BzQHvAhQCPQJrAp8C1wMSA1EDkAPOBAkEQARxBJ0EwgTkBQIFHwU8BVcFcgWKBZ0FqwW0BbsFwwXRBecGCAYzBmMGlAbABuEG9Ab4BvEG4wbSBsQGuwa5BrsGvwbDBsUGxQbABrsGtAauBqsGqwayBr4G0gbrBwcHIQczBzkHLAcLBtcGlwZSBhIF3wW+BbAFsQW6BcMFxQW8BacFhwVjBUAFIgULBP0E9ATvBO0E7QTwBPcFBAUXBS8FSQVhBXYFgwWJBYgFggV6BXEFaQViBVwFVgVRBU0FSwVLBU0FUgVZBWAFZQVoBWkFaAVmBWUFZAVkBWYFaAVqBWoFagVoBWYFYwVgBVwFVwVSBUwFRQU/BTgFMgUrBSIFFwUJBPcE4wTPBL4EsASnBKQEpASmBKYEpASdBJEEgwR0BGcEWwRSBEwERwRCBDwENQQtBCQEHAQVBA8ECwQHBAMD/gP4A/ID6wPkA94D2QPWA9QD0wPTA9MD0wPSA9ADzAPHA8EDuwO2A7IDrgOsA6oDpwOiA5wDlQONA4QDewN0A20DZgNfA1gDUQNJA0IDPAM3AzUDNAM0AzQDNQM2AzcDOAM6AzwDPwNBA0IDQQM/AzsDNwMzAzIDMwM2AzoDPwNEA0gDSgNMA04DUQNVA1sDYQNoA28DdQN8A4QDjQOYA6YDtAPDA9ED3gPpA/ED+AP+BAQECgQSBBsEJAQvBDoERARPBFkEYgRsBHYEgQSPBJ8EsgTKBOYFBQUoBTQFWQV9BaAFwgXhBf0GFgYsBjwGSAZOBk8GTAZGBj4GNwYyBi4GLQYtBi0GLQYsBiwGLQYvBjQGPQZIBlYGYwZwBnsGgwaKBpEGmAagBqsGuQbIBtgG6Ab3BwUHEwchBy8HPgdNB1wHaQd1B30HgweGB4cHhQeDB34HdwdtB2AHUAc+BywHGwcOBwYHBAcGBwsHEQcXBxsHHAccBxsHGwccBx4HIQckBycHKAcpByoHKwctBzEHNQc6Bz0HPwc/Bz4HPQc8Bz4HQgdHB0wHUgdVB1gHWgddB2QHbQd6B4oHmQepB7YHwQfNB9gH5gf1CAMIDQgQCAkH+AfhB8gHtQevB7wH3QgOCEoIhwi+COcJAAkLCQwJCQkICQ0JGQksCUIJVglnCXEJdwl5CXoJfQmDCYwJlwmjCa4JuAnBCckJ0QnbCecJ9QoEChQKJQo2CkcKWApqCnoKigqXCqIKqgqvCrQKuAq/CsgK1ArkCvYLCgsgCzcLUQtuC40LrAvLC+UL9wwAC/0L8QvfC8oLuQuuC6wLsgu/C84L3gvtC/wMDAwhDD0MYQyNDLoM5A0EDRUNFg0HDOwMzAytDJIMfQxuDF8MTww4DBsL9wvRC6sLiAtsC1QLQAsrCxIK9QrTCq4KigpqCk8KPAovCicKIQoeChsKGwoeCiUKMgpDClYKaQp3Cn4KewpuClcKOgoaCfgJ2gm/CasJngmWCZMJkwmUCZQJjwmGCXYJYAlGCScJCAjoCMsIsAiXCH8IaQhUCEAILQgcCA4IAgf4B+8H5gfaB8wHuweoB5MHfwdsB1sHTAc/BzEHIwcTBv8G5wbMBq4GjAZoBkQGIAX+BeAFyQW4Ba8FrQWvBbMFtQW1Ba8FpQWXBYgFewVvBWYFXwVWBUsFOwUlBQoE7ATOBLIEmQSFBHUEZwRYBEcEMgQYA/sD2QO2A5MDcANQAzMDGQMEAvMC5ALWAsgCtgKeAoACWwIwAgIB1AGnAX8BWwE6ARwA/gDfAMAAoACCAGgAUgBCADUAKQAdAA3/+f/g/8X/qv+R/33/bv9k/13/Wf9T/0z/Qv81/yb/FP7+/uT+xP6c/mz+NP31/bX9d/1A/RP88fza/Mr8vfyt/Jj8evxW/C38BPvg+8P7r/uk+5z7lPuH+3H7Ufso+vj6xfqS+mP6N/oN+eT5u/mP+WH5MfkC+Nb4r/iP+HT4XfhK+Df4JPgS+AP3+ff29/v4BvgW+Cb4Mfgy+Cb4C/fj97L3e/dE9xL25vbA9qD2gPZd9jP2APXF9YT1QfUC9Mv0n/R/9Gn0XfRU9Ez0QvQ09CL0DfP48+bz2PPQ883z0PPU89nz2vPU88bzr/OR823zSPMl8wjy8vLj8tny0PLF8rTynPJ/8mHyRfIv8iTyIfIl8iryKvIi8g7x8PHL8aTxgvFn8VfxTvFL8UfxQPEy8R3xAvDi8MHwofCC8GXwSfAs8A/v8e/U77nvoe+L73nvaO9Y70fvNe8j7xHvAe7z7uju3u7U7svuwe607qfumO6K7nvubO5e7k/uQe407ijuH+4Z7hTuEe4N7gft/e3w7eHt0e3D7bjttO217bztx+3U7eHt7e347gDuBe4H7gXuAO337evt4O3W7dLt1e3g7fTuDu4q7kTuWu5p7nLudO5y7m/ubO5r7mvua+5q7mfuYO5X7kvuPu4x7ibuHe4W7hHuDe4K7gjuB+4H7gfuB+4F7gLt/O3y7ebt2O3J7bvtre2h7Zbti+2A7XPtZe1W7UbtNu0o7RvtD+0C7PTs4+zO7LfsnuyE7G3sWexJ7D7sNewu7CfsH+wU7Afr+Ovn69brxOuy657riOtx61nrQesr6xjrCusC6wHrBOsM6xbrIOso6y3rL+ss6yXrGusO6wHq9ert6unq6erv6vrrCesb6y7rQutV62jreuuL65rrpuuv67Xrt+u267Lrreun66Lrnuua65jrleuS64/ri+uI64XrhOuD64Lrg+uE64XrhuuI64rrjuuT65jrneui66brquus66/rseuz67frvOvB68jrz+vW693r4+vn6+vr7Ovt6+zr7Ovt6/Dr9ev97AbsD+wY7B/sJOwo7CrsK+wt7DDsNOw57D7sQ+xH7ErsTuxR7FbsXuxn7HHsfOyG7JDsl+yd7KLspuyq7K/stOy77MHsx+zN7NPs2ezf7Obs7uz47QPtEO0c7SjtNO0/7UntUu1a7WLtaO1v7XTteO187YDthe2L7ZPtnO2o7bTtwu3Q7d3t6u337gXuE+4j7jTuRu5Z7mrue+6I7pTunu6m7q/uue7E7tLu4e7x7wHvEO8e7yzvOO9D707vV+9f72Xvae9q72nvZ+9k72PvY+9n72zvdO9974Xvju+W753vpO+r77Tvve/I79Lv3e/l7+zv8O/07/bv+O/88AHwCPAS8B7wK/A68ErwWvBq8Hrwi/Cc8K7wwfDV8Onw/vET8SnxPfFR8WTxd/GK8Z3xr/HC8dTx5vH28gbyFfIi8i/yO/JH8lTyYPJt8nryhvKR8pzyp/Ky8r7yyvLX8uTy8PL68wPzC/MS8xjzIPMp8zXzQvNR81/zbfN684TzjfOV853zpfOu87fzwfPK89Tz3PPl8+/z+/QH9Bb0JfQ09EP0UvRg9G30e/SL9Jz0r/TC9NX05/T39Qb1FPUi9TH1QvVU9Wf1evWL9Zv1p/Wz9b31x/XS9d316fX09f72B/YP9hj2IvYs9jn2RvZU9mD2a/Z09nz2hPaM9pb2ofat9rn2w/bN9tb23/bp9vb3BPcU9yP3MPc690H3SPdR9173cfeL96j3x/fi9/j4CfgW+CP4NPhO+G/4lvi++OD49vj/+Pv48fjq+O/5Bvkx+W/5tvn8+jb6XPpq+mT6T/o0+h76FPoY+in6Rfpl+oX6ofq5+sz63vrw+wT7G/sz+0z7Y/t5+477ofu0+8n73vv1/Av8Ivw3/Ev8Xvxz/Ij8ofy8/Nr8+v0b/Tv9Wv14/ZP9rf3E/dv98/4L/iT+QP5e/n7+n/7C/uX/CP8q/0z/bf+P/7D/0v/0ABcAOQBZAHkAlwC0ANAA7AEKASkBSgFuAZUBvwHtAh0CUAKGAr8C+AMyA2sDogPWBAYEMARXBHkEmQS4BNgE+AUZBTkFVgVtBX4FiQWPBZMFnAWsBcgF7wYfBlMGhgaxBs4G3AbbBs0GtwafBogGdQZnBl4GVwZTBlAGTgZMBksGTQZQBlYGXwZsBn0GlAavBssG5Ab1BvgG6gbJBpgGXAYdBeUFuwWjBZsFoAWrBbIFsAWiBYcFZQU/BRwFAATsBN8E1wTPBMgEvwS4BLUEtwTCBNME6wUEBRsFLwU8BUQFSAVIBUYFQwU/BToFMwUqBSAFFwUQBQ4FDwUTBRoFIQUnBSoFKwUqBSkFKAUpBSsFLgUyBTUFNwU3BTUFMQUqBSIFGAUNBQIE+ATwBOkE5gTjBOEE3QTXBMwEvQSsBJoEigR8BHMEbQRqBGgEZARfBFYETARABDQEKQQfBBYEDgQGA/0D9APqA+AD1wPRA80DygPIA8cDxQPBA7wDtgOwA6oDpgOjA6IDogOjA6QDpAOkA6IDnwObA5YDkQOMA4cDggN+A3kDdANuA2gDYgNcA1UDTwNIA0EDOQMxAygDHwMWAw8DCgMHAwYDBwMIAwsDDQMPAxEDFAMYAxwDIAMjAyUDJQMjAyADHQMbAxsDHQMgAyUDKgMuAzEDMgMzAzMDNQM4AzwDQgNKA1IDWwNlA28DfAOJA5gDpwO1A8IDzQPVA9wD4QPnA+0D9QP+BAkEFAQgBCsENQQ/BEkEUgRbBGUEcAR9BIwEnwS2BNAE7wURBSQFRgVoBYgFpQW+BdIF4wXwBfoF/wYCBgIGAAX+Bf0F/AX+BgEGBQYJBgsGDAYMBgwGDQYQBhcGIgYwBj8GTgZaBmQGagZuBnIGdwZ/BosGnAavBsQG2QbuBwIHFQcnBzkHSgdbB2kHcwd4B3kHdAdsB2MHWgdSB0sHRgdABzgHLAcdBwwG+QboBtsG0wbRBtQG2wbkBu0G9Qb6Bv0G/wcABwEHAgcEBwUHBgcHBwgHCAcIBwgHCAcIBwgHBwcHBwcHCQcNBxMHGgciBykHLgcyBzUHOAc8B0MHTQdZB2cHdQeDB5EHngesB7sHygfYB+MH5gfhB9QHwAerB5sHmAemB8gH+wg4CHgIsQjcCPUI/gj6CPEI6gjqCPMJBQkcCTMJRQlPCVEJTglICUMJQwlICVIJXwltCXoJhgmQCZkJowmuCboJxwnUCeEJ7gn8CgsKHQoyCkkKYQp4CosKmQqjCqgKrAqxCrgKxArUCugLAAsZCzQLTwtqC4YLoAu4C8sL2AvcC9kL0QvIC8MLxQvSC+kMCQwsDE0MaQx+DIwMmAyoDMAM4w0RDUYNeg2mDcINyg29DZ4Ncw1DDRQM6wzIDKwMkQx3DFkMOAwVC/ELzwuvC5ILdgtZCzoLGArzCs0KpwqGCmsKVQpFCjkKLwolChwKEgoLCgcKBwoLChMKHQolCisKLAomChkKBwnwCdUJuwmhCYsJegluCWkJaAlpCWsJaglkCVcJQgknCQcI5wjHCKsIkgh9CGsIWwhKCDkIJwgVCAMH8wfkB9YHyAe5B6kHlweFB3IHYAdOBz0HLAcaBwUG7AbQBrEGjwZtBk0GLgYSBfkF4wXSBcQFvAW6Bb8FyQXWBeYF8wX7Bf4F+QXuBd8FzgW8BasFmQWHBXEFVwU3BRQE7wTLBKwEkwSBBHYEbgRnBF0ETQQ1BBcD8gPJA6ADeANUAzQDGwMGAvYC5wLYAscCsAKTAm8CRQIXAeUBtAGEAVYBKwEBANkAsQCLAGgASgAyACEAGAATABAACf/8/+b/yP+j/3z/Wf8+/y7/Kf8v/zr/Rv9P/1L/Tv9D/zP/If8M/vX+2v65/pD+Xf4i/eH9nf1d/SP88/zL/Kv8jvxx/FD8Kvv++9D7ovt6+1n7Qfsx+yb7HPsR+wH67PrS+rX6mPp8+mL6SPou+hH57/nJ+Z75cflD+Rj48fjO+K74j/hw+E/4LPgI9+f3y/e296z3qvev97f3vPe69633lvd09033Ivb79tn2v/as9p32jfZ49lr2M/YC9cr1kvVc9S/1DPTz9OT02vTR9Mb0t/Sj9Iv0cPRW9D70K/Qd9BP0DPQG8/3z8PPc88LzoPN4807zJPL98tvywvKv8qHylvKJ8nfyYfJF8ijyCvHy8eDx1vHS8dDxzfHG8bjxpPGL8XLxXPFL8UDxOfE18TDxJvEW8P/w4/DF8KXwh/Br8FDwNvAb8ALv6e/R773vru+j75zvmO+V75LvjO+E73rvbe9f707vPO8p7xPu/O7k7szutO6e7orud+5m7lbuR+467i/uJu4h7h7uHe4c7hruFe4M7gLt9u3r7ePt3+3h7eft8e397gnuFe4e7iXuKe4n7h/uEO367d7tvu2e7YPtce1r7XLthO2f7b7t2+3y7gHuCO4J7gbuAu4B7gPuB+4O7hPuFu4U7g7uBO337ert3u3T7crtxO2/7bztuu247bfttu217bPtr+2q7aHtl+2L7X/tc+1o7V3tVO1M7UPtOe0t7SDtEu0D7PTs5ezV7MbstOyh7Izsdexc7ETsLuwb7AvsAOv46/Lr7Ovl693r0evD67ProOuN63nrZOtQ6zzrJ+sU6wHq8Orh6tbq0OrO6tHq1+rf6ujq7urw6u3q5erY6sfqt+qn6pzqluqW6pzqp+q16sbq2ers6wDrFOso6zzrTute62rrcet163Trcett62frYute61rrV+tU61DrTetL60nrR+tH60jrSetK60vrTOtN607rUOtS61frXOti62nrcOt263zrgOuE64frieuM64/rlOuZ65/rpuut67Lrteu367frtuu167XruOu868Pry+vU69zr4uvn6+rr7Ovu6/Dr8+v26/nr/ewA7ALsBOwH7AzsE+wd7CjsNuxD7FDsXOxl7Gzscux27Hvsf+yE7Irsj+yU7Jrsn+yl7Kvssuy57MDsyOzP7Nbs3ezk7Ozs9ez/7QvtGO0l7THtO+1D7UrtUO1W7V7tZ+1y7X/tje2c7antte3B7czt2O3l7fTuBe4X7iruPe5N7lvuZ+5x7nvuhO6P7prup+607sLuz+7b7uju9e8D7xHvIO8v7zvvRe9K70zvSe9F70DvPe8970DvRe9O71fvYO9p73Dvd+9+74bvju+Z76TvsO+878bvz+/W79rv3u/i7+bv6+/y7/vwBvAT8CLwM/BE8FfwavB+8JLwpvC78NDw5vD78RDxJfE68U7xYvF18YfxmfGr8bzxy/Hb8enx9vID8hDyHfIq8jfyRPJR8l3yafJ08n/yivKW8qLyrvK68sby0fLb8uPy6/Lz8vzzBvMR8x7zK/M480TzT/NY81/zZ/Nv83jzgvON85jzovOs87XzvvPH89Lz3vPt8/z0DfQc9Cv0OfRG9FP0YfRy9IT0mPSs9MD00/Tk9PP1AvUR9SH1M/VG9Vn1avV69Yf1kfWa9aP1rPW29cH1zvXZ9eX17/X39gD2CfYT9h/2K/Y29kH2SvZR9lf2XvZn9nL2f/aN9pv2qfa09r72x/bP9tr25vb09wP3Efce9yn3M/c/9033YPd495T3svfO9+f3+/gL+Bn4J/g5+E/4aPiA+JT4ofil+KP4oPii+LD4zvj++Tz5gPnD+fn6Hvou+iz6HfoK+fr59Pn7+g76K/pL+mz6iPqh+rX6xvrW+uj6+/sP+yT7OvtO+2L7dfuJ+577tPvM++T7/PwU/Cz8Q/xa/HL8jPym/ML83vz7/Rf9M/1O/Wj9gv2b/bT9zf3o/gP+H/49/lv+ev6Y/rb+0/7v/wz/Kf9I/2v/kP+5/+MADAA0AFgAeACVAK8AyQDlAQYBLAFZAYwBxQIBAj4CewK3AvEDJwNbA4wDuQPhBAYEJQRCBFsEdASOBKoEyATnBQUFIQU3BUgFVAVdBWcFdgWMBawF1AYBBi8GVwZ1BoYGigaCBnIGXgZKBjcGKAYaBg0GAgX2BewF5QXhBeMF6wX3BggGGgYvBkUGXAZ0BowGoQavBrIGpgaLBmEGLQX3BcQFmwWABXIFbgVuBW0FZQVUBToFGwT7BN8EygS6BLEEqgSiBJkEjwSFBH8EfgSEBJIEpQS7BNEE5ATyBPwFAwUHBQoFDAUMBQoFBQT9BPQE6gThBNwE2wTcBOAE5QToBOgE5gTiBNwE2ATWBNYE2QTdBOIE5gTpBOoE6ATjBNsE0QTFBLgErAShBJoElgSVBJcEmASYBJUEjgSCBHQEZARVBEgEPQQ1BC4EKQQjBBwEFAQLBAED+APwA+gD4APXA84DxQO7A7IDqgOkA58DnQObA5oDmAOVA5EDjQOIA4MDfwN8A3oDeAN3A3YDdgN1A3MDcgNvA20DaQNkA18DWANQA0kDQQM7AzQDLwMrAycDIwMdAxcDDgMFAvsC8QLpAuQC4QLhAuMC5wLqAu0C8ALzAvUC+QL9AwIDBwMLAw8DEQMRAxADDwMOAw8DEQMUAxgDHAMfAyEDIgMjAyQDJgMpAy4DNAM8A0QDTQNXA2IDbwN8A4oDmAOkA7ADuQPAA8cDzQPUA9wD5QPwA/sEBwQTBB8EKQQ0BD4ERwRSBFwEZwR0BIMElQSqBMQE4QUBBQkFJwVEBV4FdAWHBZcFowWtBbUFuwW/BcIFxAXFBcgFywXPBdUF2wXhBecF6wXuBfAF8wX4Bf8GCAYUBh8GKgYyBjgGPAY/BkMGSgZVBmUGeQaPBqcGvgbUBukG/AcOByEHMgdCB08HVgdWB08HQgcxBx4HDAb+BvMG7AboBuMG3AbSBsUGtwapBp4GmAaZBp8GqQa2BsMGzQbVBtkG2gbZBtgG2AbZBtoG3AbeBt8G3wbdBtgG0wbOBskGxgbFBscGzQbWBuEG7Ab3BwAHBwcLBw8HEgcXBx0HJgcwBz0HSwdaB2sHfQeSB6YHuAfFB8sHxge3B6AHhgdvB2UHbAeKB7wH/QhGCIsIwwjpCPsI+wjxCOQI2wjcCOYI+QkOCSAJLAkvCSsJIgkZCRQJFAkbCScJNQlDCU8JWQliCWwJdwmFCZQJpAm0CcMJ0QneCe0J/woVCi8KSwpmCn0KjwqbCqEKpQqoCrAKvQrQCukLBwsmC0YLZAuAC5kLrgu/C8oL0AvQC80LygvLC9UL7AwRDEMMfQy6DPENHw1ADVUNYw1vDYENng3FDfUOJw5TDm8Odw5oDkMODw3RDZINWA0mDP0M3Ay+DKEMgwxkDEIMIAv+C90LvAucC3wLWgs3CxQK8grRCrMKmQqBCmsKVgpBCi0KGQoGCfUJ5wncCdUJ0AnOCc4JzgnOCcsJxQm6CasJmAmBCWkJVAlDCTkJNQk4CT4JQwlECT0JLgkWCPkI2Ai5CJ0Ihwh3CGwIYwhaCE4IPwgtCBcIAAfoB9AHuAeiB40HegdnB1UHQwcwBxwHBAboBsgGowZ8BlUGMgYUBf0F7gXmBeMF4wXkBeUF6AXrBfIF+wYHBhQGIAYoBisGJgYbBgoF9gXhBcwFuAWjBYwFcgVVBTMFEATtBM4EtgSlBJoEkwSMBIIEcQRYBDUEDAPeA68DggNaAzgDHQMGAvIC3gLJAq8CkAJsAkMCFwHpAbsBjQFgATMBBwDbAK8AhQBdADsAIAAOAAT////9//f/6v/S/6//gv9R/yL+/P7k/t3+5/7+/x3/Pf9Y/2n/cP9s/1//Tf83/x//A/7j/rz+jP5U/hb90/2P/U39EfzZ/Kf8d/xH/Bb74/ut+3j7RfsX+u76zfqy+pv6h/p1+mT6U/pE+jf6Lfol+h76FvoL+fv55fnJ+aj5hvlj+UH5IfkC+OL4wPiZ+G74P/gN9933sveO93P3YPdU90v3Qvc19yL3CPbo9sb2pfaJ9nP2ZPZb9lX2TvZE9jL2GPX49dL1rPWH9Wn1UPU99S31H/UP9Pz05PTJ9Kz0j/R09F30SfQ49Cn0G/QL8/jz4fPF86TzfvNT8yTy9PLD8pXybPJJ8i3yGPIH8frx7vHi8dXxx/G68a3xofGW8Yvxf/Fy8WPxUvFA8S7xHvEQ8QTw+fDw8OTw1/DG8LPwnvCH8HDwWPBA8CjwDu/z79nvwO+r75vvke+N74/vlO+b76Pvqe+s763vqe+h75Tvg+9s71HvMu8S7vHu0+647qHuje597nDuZO5b7lPuTe5K7knuSe5I7kbuQu477jLuJ+4e7hjuFe4Y7h/uKe407j/uSe5Q7lTuU+5M7j/uKO4J7eDtsO1+7U7tJ+0M7QLtCO0b7TjtV+1z7Yntle2Z7Zftk+2R7ZLtmO2h7azttu297b7tu+2y7aftm+2Q7YXtfO117W7tae1m7WTtZO1n7Wvtb+1y7XLtbu1l7VjtSO027SXtFu0K7QHs+Ozx7Ojs3uzS7MTstOyk7JTshOxz7GHsT+w77CXsD+v56+Xr0+vE67jrsOuo66HrmOuO64LrdOtl61XrRes16ybrFusF6vPq4erP6r7qr+qk6p7qnOqe6qPqp+qq6qnqpOqb6o7qgOpz6mnqYepe6l7qYepl6mvqc+p86ojqmOqq6r/q1err6v7rDusa6yHrJOsj6yHrHesa6xfrFOsQ6w7rC+sJ6wfrBusG6wfrCesL6w3rD+sR6xPrFesY6xzrIesn6y7rNus+60brTOtS61XrWOtZ61vrXetg62Tra+ty63nrgOuF64frh+uF64PrguuC64XriuuS65rrouup66/rtOu367rrveu/68LrxOvG68jryuvM69Dr1evc6+br8ev97ArsFewg7CjsL+w27DvsQexH7E7sVexd7GXsbOx07HvsguyH7I3skeyU7Jfsmeyc7KDsp+yw7LvsyOzW7OPs8Oz67QPtC+0T7RztJ+0z7ULtUe1g7W7teu2E7Y7tmO2k7bHtwu3U7ejt/O4O7h/uLe467kbuUO5c7mfuc+5/7orule6g7qvut+7F7tXu5u737wfvE+8b7x7vHe8Y7xPvDu8M7w7vFO8d7yjvNO8+70jvUO9X713vZO9s73Xvf++J75Tvnu+n77Dvt+++78bvze/V79/v6u/28AXwFfAn8DrwTvBj8HjwjvCk8Lrw0PDl8PvxEfEm8TvxT/Fj8XbxiPGZ8ajxt/HE8dHx3fHp8fXyAvIP8hzyKvI48kXyUfJc8mfycvJ88ofykfKb8qXyrvK38sDyyvLU8t/y6/L38wTzD/MZ8yLzKfMw8zbzPvNI81PzX/Nt83nzhfOP85fzn/Oo87LzvvPN893z7fP+9A30HPQq9Dj0SPRZ9Gz0gPSU9Kf0ufTK9Nn06PT49Qn1G/Uu9UD1UPVe9Wn1cvV69YL1jPWX9aX1svW/9cr10/Xb9eL16vX09f/2C/YY9iP2LPYz9jn2P/ZH9lH2XfZs9nv2ifaW9qD2qPaw9rr2xfbT9uL28/cD9xL3H/ct9z33T/dm94D3nfe699X37Pf++A74G/gn+DX4Q/hR+F74Z/hs+G/4cvh5+In4pfjM+P35M/lo+Zb5ufnP+dj52vnY+dj53vns+gH6G/o4+lT6bvqF+pj6qvq6+sz63vry+wb7G/sv+0P7V/tr+4D7lvut+8X73vv4/BL8LPxH/GL8fvyZ/LT8zfzm/P39FP0r/UL9Wv1y/Yz9p/3D/eH9//4f/j/+X/5+/pz+uP7T/uz/Bv8h/z7/YP+E/6z/1P/8ACIARABkAIQApADJAPQBJgFgAaAB5AIoAmsCqgLjAxcDRwNxA5gDvAPdA/oEFAQqBD8EUgRmBHoEkQSoBL8E1QToBPkFCAUYBSsFQwViBYgFsAXYBfsGFQYiBiQGHAYOBf4F8AXlBd4F2QXSBckFvAWrBZoFjAWEBYUFjwWhBbkF0wXvBggGIAY1BkcGVAZcBlsGTwY3BhQF5wW2BYYFWwU5BSEFEgUIBP4E8wTjBM8EugSkBJIEhAR6BHMEbgRnBGAEVwRQBEsETARSBF8EbgSABJAEnQSmBK0EsgS2BLsEwATFBMkEygTJBMUEvwS5BLQEsQSwBLAErwStBKgEoQSYBI8EhwSABH0EfAR+BIIEhQSJBIwEjQSMBIgEgwR7BHEEZwRdBFQETgRLBEsETARNBE4ESwRGBD0EMgQmBBkEDgQEA/sD8wPtA+YD3gPXA9ADyAPBA7oDswOrA6QDnAOUA40DhgN/A3oDdgNzA3ADbQNqA2YDYgNfA1sDVwNUA1EDTgNLA0kDRwNGA0UDRANDA0IDQAM8AzYDLwMmAx0DFQMNAwcDAwMAAvwC+QL0Au0C5gLdAtUCzgLJAscCyALKAs8C1ALYAtwC3wLhAuQC5wLrAvAC9QL5Av0C/wMAAwEDAgMDAwUDCAMLAw4DEgMUAxYDFwMZAxsDHgMiAygDLgM1Az0DRQNNA1cDYgNuA3oDhgOSA5wDpgOuA7YDvgPGA9AD2wPnA/MD/wQLBBYEIQQrBDYEQQRMBFcEYgRvBHwEjASfBLYEzwTsBNEE5wT8BQ8FIQUxBUAFUAVfBW4FfAWJBZMFmwWgBaMFpQWnBaoFrwW1BbwFwwXLBdMF2wXjBesF8wX6BgEGBwYLBg8GEgYWBh4GKQY5BkwGYgZ5Bo4GoQayBsAGzQbZBuYG9AcABwoHEAcOBwYG9gbhBsoGtAahBpMGiwaGBoQGgQZ+BngGcgZrBmgGaAZsBnYGggaQBp0GpwauBrAGsAauBqwGqwasBq0GrwaxBrEGrgapBqIGmQaRBooGhgaGBosGkwafBqwGuQbFBs8G1wbcBuEG5gbsBvMG/AcHBxQHIwc1B0oHYgd8B5UHqge3B7kHrweYB3oHWwdEBzwHSwdxB6wH9ghFCI0IxgjrCPsI+gjuCOAI1wjVCN0I6wj6CQUJCwkJCQEI+AjxCO8I9Aj+CQsJGQklCS4JNAk6CUIJTgleCXMJiwmjCbsJ0AnkCfgKDgomCkAKWgpzCocKlQqcCp8KnwqiCqkKuQrRCvALFgs+C2YLjAuuC8sL4gv0DAAMBQwFDAMMAQwFDBQMMQxfDJwM5Q0zDX4NwQ32DhwOOA5MDl8Odw6UDrcO2w75DwsPCg70DsoOjw5KDgMNvg2CDU8NJA0ADOAMwQygDH4MWww4DBYL9gvYC7wLoQuGC2sLTwsyCxMK8wrTCrMKkwp1ClcKPAohCgcJ7gnWCcAJrAmcCZEJiwmKCYsJjAmLCYMJdAlfCUQJKQkRCQEI+gj+CQkJGQknCS8JLgkkCRAI+AjfCMkIugixCK8IrwiuCKkIngiKCG4ITAglB/0H1QevB4wHbQdRBzgHIQcJBvAG0wayBo4GZwZBBh8GBAXyBesF7QX2BgIGDwYYBh0GHgYdBh0GHQYhBigGLwY0BjQGLgYhBg4F9wXgBcoFtgWlBZUFhAVxBVoFQAUkBQkE8ATcBMsEvQSvBJ4EhwRpBEMEFwPoA7gDigNiAz8DIgMIAvEC2AK9Ap4CewJUAisCAQHWAawBggFZAS8BBgDbALIAigBmAEcALwAdABAABP/2/+P/xv+g/3L/Pv8M/uD+wf6z/rj+zv7y/xz/R/9t/4n/mf+c/5X/hP9t/1D/Lf8G/tr+qf5y/jf9+v27/X39QP0E/Mn8jvxU/Br74Puo+3L7QPsR+ub6vvqY+nT6Ufox+hX5/fns+eL53Pnb+dz52/nX+c75wPms+Zb5fvll+U35M/kZ+Pv42Pix+IT4U/gg9+73wPeW93P3Vfc89yX3Dvb29tv2vPab9nr2WvY99ib2FPYI9f/1+fXy9er13/XS9cL1svWh9ZD1f/Vs9Vj1P/Uj9QP04PS+9J30gPRn9FL0QfQy9CP0FPQC8+7z2PO+86DzffNT8yLy6vKs8mvyK/Hw8cDxnfGI8YHxhfGQ8Z7xq/Gy8bTxrvGi8ZHxfPFm8VDxOfEk8RDw/PDq8Njwx/C38KjwnPCR8InwgfB68HDwZPBT8D3wIvAF7+jvzO+176PvmO+S75LvlO+Z757vpO+p763vr++u76jvnO+K73HvUu8x7w7u7u7R7rrup+6Y7o3ug+577nPubO5m7mLuXu5Z7lLuSu4+7jLuJe4a7hPuEu4W7h/uK+457kXuT+5V7ljuVu5O7kDuKu4L7ePts+1+7UjtGez07N/s2+zn7P7tHO057VHtYO1l7WHtV+1N7UTtQO1B7UbtTe1U7VjtWu1Y7VPtTe1F7TztMu0o7R3tE+0L7QbtBu0N7RjtJ+037UTtSu1H7TvtJ+0N7PHs1+zA7LDspOyd7JjskuyL7IDsc+xl7FXsR+w67C3sIOwS7AHr7evW677rpuuQ633rbeti61nrUutL60PrOusw6yXrGesN6wDq9Orm6tjqyOq36qXqlOqF6nnqcepr6mjqZupk6mHqXOpW6k/qSOpC6j3qOeo26jPqL+op6iTqH+oc6h3qI+ou6j/qVOps6oPqmeqs6rvqxerN6tHq0+rT6tPq0erP6szqyOrE6sHqv+q96r7qv+rC6sXqyurP6tXq2urg6uXq6eru6vPq+Or+6wTrCesP6xTrGOsb6x7rIOsi6ybrLOsz6zvrROtL61HrVOtV61TrUetP607rUOtU61vrY+tr63Tre+uC64frjOuQ65PrluuY65nrmuua65vrnOuf66Trq+u0677ryevT697r5+vw6/nsAuwK7BPsHewm7C/sOOxA7EjsT+xW7FvsYOxk7Gjsa+xt7HDsdOx57H7sheyN7JXsneyl7K3stuzA7Mvs2ezo7PntCu0b7SrtOO1E7U/tWu1m7XTthe2X7artvu3R7ePt8+4C7g/uG+4o7jTuQe5N7ljuY+5t7nfug+6P7p3urO677sju0+7b7t7u3e7a7tbu0+7S7tXu3O7m7vPvAO8O7xrvJe8u7zXvOu9A70bvTe9U713vZ+9x73zvie+V76Lvr++878rv1+/m7/TwBPAV8CbwOvBO8GPwePCP8KXwu/DS8Ojw/vEU8SnxPvFS8WbxePGJ8Znxp/G08cDxy/HX8eLx7fH58gXyEvIf8ivyNvJB8kvyVfJe8mfyb/J48oDyiPKR8prypPKv8rryxvLS8t3y5/Lw8vjy//MG8w/zGPMj8zDzPvNM81nzZPNu83bzfvOH85Lzn/Ou877z0PPh8/L0AvQS9CL0NPRG9Fn0bPR/9JD0oPSv9L30zPTb9Oz0/fUO9R71K/U39UD1SPVR9Vz1aPV39Yf1lvWj9a71tvW89cH1x/XQ9dv16PX29gP2DvYW9hz2IvYo9jD2OvZH9lX2Y/Zw9nz2hvaQ9pr2p/a19sX21/bo9vj3B/cW9yX3N/dM92X3gfee97r30/fo9/n4CPgU+CD4LPg5+Eb4Ufhb+GT4a/h0+ID4kvir+Mv47/kX+T35YPl9+Zb5qfm5+cj52fnr+f/6FPoq+kD6Vfpp+n36kPqk+rj6zPrh+vf7DPsi+zj7Tvtk+3r7kfun+7370/vp/AH8Gfwz/E78afyE/J78t/zO/OT8+f0P/SX9Pf1V/XD9i/2o/cb95v4I/iz+UP51/pn+u/7a/vX/Df8i/zb/TP9j/37/m/+8/98ABQAuAFkAiQC/APoBOgF/AcUCCwJNAooCwQLwAxoDQANiA4MDowPBA9wD9AQJBBsEKwQ5BEcEVgRlBHQEgwSRBKAEsQTFBN8FAAUnBVIFfQWjBcAFzwXSBcgFtwWjBZAFhAV+BX4FgAWABXsFbwVdBUoFOAUsBSsFNgVKBWcFhwWnBcQF2wXtBfkF/wX+BfYF5QXKBacFfQVOBR8E8wTOBLIEnQSNBIIEeARuBGIEVwRMBEMEPQQ4BDUEMQQsBCYEIAQaBBYEFwQcBCQELwQ6BEQESwRQBFMEVgRaBGAEaQRzBHwEhASJBIsEigSHBIMEgAR8BHkEdQRwBGoEYgRZBFAERwRABDoENgQzBDIEMQQwBDAELwQvBC4ELQQqBCUEHgQXBA8EBwQCA/4D/QP+A/8EAAP/A/0D+APxA+kD4QPYA9ADyAPAA7kDsQOqA6IDmwOTA4wDhAN9A3YDbgNnA2ADWQNTA04DSANEAz8DPAM4AzUDMwMwAy4DLAMqAygDJgMjAyADHQMbAxkDGAMXAxUDEwMPAwoDBAL9AvYC7wLpAuQC4ALcAtgC0wLOAscCwQK6ArUCsgKwArECtAK4Ar0CwgLHAssCzwLTAtgC3ALhAuYC6gLtAu8C8QLyAvMC9QL3AvoC/gMBAwQDBgMHAwcDBgMHAwgDCwMQAxUDHAMjAyoDMwM7A0UDTwNbA2YDcgN9A4gDkQObA6QDrQO3A8MDzwPbA+gD9AQABAwEFwQiBCwENgRBBEoEVARdBGgEdASCBJMEpgS7BIcElQSkBLEEwATPBOEE9gUOBScFQAVXBWkFdwV/BYIFgQV/BX4FgAWFBY0FmQWmBbQFwQXNBdgF4AXnBesF7wXxBfQF+AX/BgoGGQYrBj8GVAZoBngGhAaMBpEGlAaXBpwGowarBrMGuQa6BrYGqwabBogGdQZjBlUGSwZGBkQGRAZFBkUGRgZGBkgGTAZTBlwGZgZxBnsGggaGBogGiAaGBoUGhAaDBoMGggaABnwGdwZvBmcGXgZXBlIGUQZVBlwGZgZyBoAGjAaXBqEGqQaxBrkGwgbLBtYG4gbvBvwHDAceBzMHSwdkB3wHkAebB5oHjQd2B1kHPQcrByoHPwdsB6wH+QhHCI0IwwjkCPEI7QjgCNAIxQjCCMcI0gjdCOYI6QjmCOAI2QjVCNcI3wjsCPwJCwkXCR8JJQkqCTEJPglQCWkJhwmmCcYJ5QoBChsKNApMCmIKdQqFCo8KkwqTCo8KjQqPCpoKrgrNCvULJAtVC4cLtgvhDAcMKAxCDFYMYwxqDGsMagxsDHUMiwywDOYNKg15Dc0OHg5nDqQO1Q77DxoPNA9ND2UPeQ+HD4kPfA9dDywO7Q6kDlYOCg3EDYYNUA0jDPwM1wy1DJMMcAxPDDAMEwv6C+QL0Au9C6oLlQt8C2ALQAsfCvwK2wq8Cp8KhApqCk8KMQoRCe8JzQmvCZUJhAl7CXgJeQl5CXQJZglPCTEJDwjwCNkIzgjRCOII+wkXCTAJQglKCUkJQQk2CS0JKAkpCS4JNQk4CTUJJwkOCOgIuQiCCEgIDQfVB6EHcwdLBygHCQbtBtMGuAadBoEGZgZNBjkGLAYmBigGMAY6BkQGSgZLBkYGPQYyBikGIwYkBikGMAY2BjgGMgYkBg8F9QXaBcEFrQWeBZMFigV/BXIFXwVHBSwFDwTxBNYEvASkBIsEcARTBDEEDAPkA7wDlQNxA1ADMgMXAv0C4wLIAqwCjQJsAkoCJgIBAdkBsQGHAV0BMwELAOUAxACmAI0AdgBgAEkALgAN/+b/uf+H/1T/JP76/tv+yf7F/s/+5P8C/yX/Sf9p/4T/l/+f/53/kP94/1b/K/75/sL+if5P/hb93/2q/XX9Qf0L/NT8nPxj/Cv79vvF+5n7cPtK+yT6/PrS+qX6dvpJ+iD5/Png+c35wPm5+bT5r/mp+Z/5k/mF+Xb5ZvlX+Ub5Nfkg+Qj46vjI+KL4ePhM+B/38vfG95v3cvdM9yf3BPbi9sL2ovaB9mH2QPYg9gL15vXO9bv1rvWn9aX1p/Ws9bD1svWw9an1nPWI9W31TPUn9QD02fS19JT0ePRh9E70PfQu9B/0D/P/8+7z3PPH86/zkPNo8zby9/Ku8l/yDvHD8YXxWPFB8T/xT/Fs8Y7xsPHK8drx3vHW8cXxrvGU8XnxX/FF8SzxE/D58ODwyPCz8KPwmfCV8Jbwm/Cg8KLwnvCT8IHwafBN8DDwFe//7+3v4O/X79Dvye/D773vuO+077Hvr++t76jvnu+O73fvW+887xvu/O7g7snutu6l7pbuh+537mfuVu5G7jjuKu4d7g/t/+3u7dzty+287bPtsO217cDtz+3g7fDt/e4G7gvuC+4H7f/t8u3e7cTto+187VTtLu0P7Pzs9uz+7RHtKu1F7VvtaO1r7WPtUu097SbtEu0C7Pbs8Ozt7O3s7+zx7PPs9ez07PHs6uzf7NHswOyw7KXsoOyl7LTsyezk7P3tD+0Y7RTtA+zp7Mnsp+yJ7HHsYOxU7E3sRuw+7DPsJuwW7Afr+evu6+Tr3OvU68nruuuo65Hreetg60nrNuso6x3rFesP6wnrAur56u/q4+rY6szqwuq36qzqouqW6orqfepw6mPqVupK6kDqNuos6iTqHOoV6hDqDeoL6grqCOoG6gLp++ny6efp3OnS6cvpyOnK6dLp3ent6f/qEuol6jjqSepY6mXqcOp56n/qguqD6oPqgep+6nvqeOp16nTqdep36nrqgOqI6pDqmuqi6qrqsOq16rfqueq76r3qwerG6szq0urY6t3q4erk6ufq6urv6vbq/usI6xDrGOsd6yDrIesg6x/rH+sg6yTrKesw6zfrQOtI60/rVutd62LrZ+tq62vra+tp62frZetk62Xraetv63jrg+uP65zrqOu067/ryuvU697r5+vw6/nsAOwH7A7sFOwa7CHsKOww7DfsPuxE7EnsTOxO7E7sT+xP7FDsU+xX7F3sZuxw7H7sjeye7LDswuzU7OXs9e0E7RLtIO0u7T3tTu1f7XLthO2X7ajtue3I7dft5e3y7f/uDO4Y7iPuLu457kTuTu5Z7mTub+567oTujO6R7pTule6U7pPuk+6V7pruou6t7rruye7Y7ubu9O7/7wnvEe8Y7x7vJO8q7zLvPO9H71TvY+9z74Xvlu+o77nvye/Z7+nv+PAI8BjwKvA88FHwZvB88JPwqvDB8Nnw7/EF8RvxL/FD8VXxZ/F48Yjxl/Gl8bLxvvHJ8dTx3vHo8fPx/fIG8hDyGfIi8ivyNPI88kXyTvJX8mDyaPJw8nnygfKK8pPynfKn8rHyu/LF8s/y2PLi8uzy+PME8xDzHfMq8zbzQfNM81bzYfNs83nziPOX86jzufPK89vz7PP99A/0IvQ29En0XPRu9H/0jfSb9Kn0t/TF9NT04/Tw9Pz1BvUO9RX1HPUm9TH1QPVR9WP1dfWE9Y/1l/Wd9aH1pvWt9bf1w/XQ9dz15/Xw9fb1+/YB9gj2EvYe9iz2O/ZK9lf2ZPZv9nv2iPaW9qb2tvbF9tX24/by9wH3E/co90D3W/d495T3rvfF99f35/f2+AT4Evgj+DT4RfhU+GL4bPh2+H/4iviZ+K34x/jm+Qj5LPlQ+XL5kPmr+cL51vno+fn6Cvoc+i/6Q/pZ+m/6hvqd+rT6yfre+vL7Bvsc+zL7Svtj+3z7lPus+8H71fvn+/r8Dfwh/Df8Tvxm/H78l/yv/Mf83/z4/RH9K/1G/WL9ff2a/bf91v33/hz+Q/5t/pf+wP7l/wX/Hv8y/0H/Tf9Z/2j/ff+Y/7v/5gAZAFIAkQDTARkBXgGiAeICHgJTAoMCrgLUAvgDHAM/A2EDggOiA70D1APlA/MD/QQGBA8EGAQjBC0EOAREBFAEYAR1BJAEswTcBQkFNQVcBXcFhQWDBXYFYAVHBTEFIQUaBRgFGwUcBRoFEgUEBPME5ATbBNsE5gT7BRgFOQVZBXcFjgWdBaUFpAWcBYwFdQVVBS4FAwTUBKYEfARZBD0EKQQbBBIECwQGBAED/AP5A/cD9wP3A/gD+AP2A/MD7gPpA+QD4gPjA+YD6wPwA/UD+QP7A/4EAQQGBA4EGQQlBDEEPQRFBEoETARMBEkERQRBBD0EOAQ0BC8EKgQkBB8EGQQUBA4ECAQBA/oD8wPtA+cD4gPfA90D3APaA9cD0wPOA8gDwQO8A7gDtwO4A7sDvwPCA8QDxQPDA78DuQOyA6sDowObA5MDiwODA3sDdANsA2UDXQNVA0wDRAM9AzUDLgMnAyEDGwMVAxEDDQMKAwgDBgMGAwYDBgMFAwUDAwMBAv4C+wL3AvMC7gLqAuYC4gLeAtoC1gLSAs4CywLJAsUCwgK+ArkCswKtAqgCogKfAp0CnAKeAqACpAKoAqwCsAK0ArkCvwLGAs0C1ALbAuEC5ALmAucC5wLnAugC6gLtAvEC9AL3AvcC9wL0AvEC7gLsAusC7QLxAvcC/wMHAxEDGwMlAzADPANIA1QDXwNpA3IDewOEA40DlgOhA60DugPIA9YD5APyA/8ECwQWBCAEKQQwBDYEPARBBEYETARUBF8EawR4BFEEWwRmBHIEfgSNBJ8EtgTQBOwFCQUjBTkFSQVSBVUFUwVQBU4FTwVUBV0FawV8BY4FoAWwBb4FyQXSBdcF2wXeBeIF5gXuBfgGBgYXBikGOwZLBlcGXwZhBl8GWgZWBlMGUwZXBl4GZgZtBnIGcQZsBmMGVwZJBj0GMgYqBiYGJAYlBigGLAYwBjUGOwZABkcGTQZSBlcGWwZeBl8GXwZfBl4GXAZZBlYGUQZLBkQGPAY0Bi0GKAYlBiUGKQYvBjkGRAZPBlsGZgZxBnwGhgaSBp4GrAa7BsoG2AbnBvQHAgcRByEHMgdFB1YHYgdoB2UHWQdGBzEHIAcbBycHRwd7B78ICghUCJIIvwjWCNoIzwi9CKwIoAifCKYItAjDCNEI2AjZCNUI0AjMCM4I1gjlCPcJCwkdCS0JOwlHCVMJYgl1CYwJqAnFCeMKAAobCjIKRgpXCmMKagptCmwKZwphClwKXgpoCn0KnQrICvwLMwtsC6IL1QwDDC0MUgxzDI8Mpgy3DMIMyAzMDNMM4Az5DR8NVQ2YDeUONw6IDtMPFg9PD30Pog/AD9YP4w/nD94Pxw+gD2gPIw7UDn8OKg3aDZENUg0eDPIMzgyuDJIMdgxbDEEMKAwRC/wL6QvXC8YLswueC4cLbQtRCzYLHQsGCvIK4ArOCrgKnQp8ClYKLQoECeAJxAmyCakJpQmiCZsJjAl0CVIJLAkHCOoI2QjYCOYJAQkiCUMJYAl1CYEJhgmHCYcJiQmOCZQJmQmYCY8JeQlXCSgI8AixCG8ILQfvB7cHhAdZBzMHFAb6BuQG0gbDBrcGrQamBqIGoAafBqAGnwacBpQGhgZzBl0GRgYyBiMGHQYeBiYGMQY6Bj4GOQYrBhQF9wXaBb4FqAWZBY8FhwV/BXIFXwVDBSAE+ATOBKUEgARhBEcEMgQfBA4D/APoA9EDtwObA30DXwNBAyYDDQL3AuQC0wLAAqwCkgJyAkwCHwHuAb0BjQFjAUABJAEOAPoA5gDMAKsAgQBOABb/3P+k/3T/TP8v/x3/E/8Q/xH/FP8a/yH/Kv81/0L/Tf9V/1X/S/8z/w3+2v6d/lv+GP3Y/Z79a/09/RP86vzA/JL8Yvwy/AP72fuz+5P7dvta+zz7Gfrw+sH6j/pd+i36Avne+cH5qvmW+Yb5dvlm+Vf5Sfk9+TT5Lvkq+Sf5JPke+RT5Bvjz+Nv4vfiY+G34OvgC98T3hfdG9wz22Pas9on2a/ZS9jn2HvX/9d71uvWZ9X31afVf9V71ZvVy9X/1iPWL9Yb1ePVi9Ub1JvUF9OX0yPSu9Jf0gvRv9F30SvQ49CX0EfP+8+vz1/PB86jzh/Nd8yny6fKg8lDyAfG48XvxUfE78TrxS/Fo8YzxsPHN8eHx6fHm8dvxyvG18Z/xifFy8VnxPvEh8QPw5fDK8LXwp/Ch8KHwpvCs8K/wrvCl8JfwhPBv8FvwSvA98DTwLvAo8CHwGPAM7/3v7u/g79Lvxu+6763vnO+H727vUe8y7xPu+O7f7srutu6i7ovucu5U7jTuE+3z7dftvu2p7Zbtg+1w7VztSO027SntIu0i7SrtOO1I7Vntae107XztgO2B7X/tfO127W3tX+1P7TvtJ+0W7QrtBu0L7RntK+1A7VLtXe1g7VntSe0x7Rbs+ezd7MTssOyh7Jfsk+yT7Jfsneyj7KbspOyc7I3seuxk7FHsROxA7EjsW+x17JLsrezA7Mnsxey37KHsh+xs7FXsQewx7CPsFewG6/Pr3+vK67frpuua65LrjeuJ64Xrfetx62HrTus66ybrFesG6vvq8urp6uHq1+rL6r7qsOqi6pbqi+qD6nzqdupw6mrqYupY6k3qQOoy6iPqFOoG6fnp7enk6dzp1unS6c7py+nH6cLpvOm16a3ppOmc6ZPpjOmF6YDpfel86X7phOmN6Zvpq+m+6dLp5On26gTqEOoa6iHqJuor6i/qMuo16jfqOeo66jzqP+pE6kvqVOpe6mjqcOp26nrqfOp96n/qgeqF6ozqk+qa6qHqpuqp6qvqrOqt6rDqtuq+6sjq0+rd6uXq7Orw6vLq9Or06vbq+Or76wDrBusN6xXrHesl6yzrMus36znrOus46zTrMesu6y3rMOs26z/rSutW62TrcOt864frkeub66Trreu1673rxOvK68/r0+vY697r5uvv6/nsA+wM7BTsGuwd7B7sHewc7BvsHOwg7CXsLew37EPsUOxf7G7sfuyO7J/ssOzC7NLs4+zz7QPtE+0j7TTtRe1X7Wnteu2L7Zvtqu247cXt0O3c7eft8u397gjuE+4e7ijuMu467kDuRe5J7kzuT+5R7lTuWe5e7mbub+557obuk+6i7rDuv+7N7tru5u7x7vvvBO8O7xjvI+8w7z7vTu9g73Hvg++U76Xvte/F79Xv5O/08AXwFvAq8D7wU/Bq8ILwmvCy8Mrw4fD38QvxHvEw8ULxUvFi8XHxgPGP8Z3xqvG38cLxzfHW8d/x5/Hv8fbx/fIE8gvyE/Ic8ibyMPI68kTyTvJW8l7yZfJs8nPye/KD8o3ymPKj8q/yu/LG8tHy3PLn8vLy/fMJ8xXzIfMu8zzzS/Na82rzevOK85nzqfO488fz1/Pn8/n0DfQh9DX0SfRd9G/0f/SO9J30q/S59Mb00/Td9OX06/Tw9PT0+fUA9Qv1GfUq9Tz1TvVf9W31d/V/9YX1ivWQ9Zf1n/Wn9bD1uPW/9cX1y/XT9d316fX39gf2F/Yn9jb2Q/ZP9lv2Z/Z09oH2jvac9qr2ufbJ9tv27/cH9yH3PfdZ93T3jfei97P3wvfQ99737vgB+BT4Kfg8+E34XPho+HP4fviL+J34tPjR+PL5Ffk6+Vz5fPmX+a75wfnS+eL58/oH+h36NvpS+m76ivqk+rv6zvrf+u/6/vsP+yP7OvtU+3D7jPun+7/71Pvm+/b8BfwU/CX8N/xL/GH8ePyQ/Kr8xPzf/Pv9GP01/VL9b/2K/ab9w/3h/gP+KP5R/nz+qP7R/vb/Fv8v/0P/VP9j/3b/j/+v/9gACwBFAIUAxwEJAUgBggG2AeQCDAIxAlUCeQKfAsgC9AMhA0wDcgOTA6sDuwPEA8gDygPMA9AD1wPhA+wD+AQDBA8EHAQtBEMEYASEBKwE1QT6BRYFJQUnBR0FCgTzBNwEywTABLsEuwS8BLsEtwSvBKYEnQSYBJsEpgS5BNIE7wULBSUFOQVGBUsFSAU8BSgFDAToBL4EkQRjBDYEDwPvA9cDxgO8A7UDsgOvA6wDqgOpA6kDrAOvA7QDuAO7A7wDuwO3A7QDsAOuA60DrwOwA7MDtQO4A7sDvwPFA80D2APkA/ED/AQGBA0EEQQSBBAEDQQJBAUEAAP8A/kD9QPxA+4D6gPlA+AD2gPUA8wDwwO7A7MDrAOnA6MDoAOdA5oDlgOSA40DiAOFA4IDggOEA4gDjQOSA5YDlwOXA5QDjwOIA4ADeANwA2gDYANaA1QDTgNJA0MDPQM2Ay8DJwMfAxcDDwMHAwAC+QLzAu4C6gLnAuUC4wLiAuIC4gLiAuEC4ALeAtoC1gLRAssCxAK9ArcCsQKrAqcCpQKkAqQCpAKkAqQCowKgAp0CmAKUApECjwKPApACkwKXApsCngKhAqQCpwKqAq8CtQK9AsUCzgLUAtoC3ALdAtwC2wLbAtwC3gLgAuQC5gLnAuYC4wLeAtkC1ALSAtEC1ALZAuEC6gL1AwADDAMYAyUDMQM8A0cDUQNZA2ADZwNuA3UDfgOJA5YDpAOzA8MD0wPjA/IEAAQMBBYEHgQkBCgEKQQqBCsELAQwBDUEPQRHBEUETwRaBGQEbwR7BIkEmwSvBMYE3QT0BQYFFQUeBSIFIgUhBSEFIwUqBTUFRAVWBWoFfgWSBaMFsgW9BcYFzAXQBdMF1gXaBeEF6wX3BgYGFgYkBjAGNwY4BjQGLQYjBhoGFAYTBhcGHwYqBjYGQAZGBkgGRAY8BjEGJQYaBhEGDAYLBg0GEQYYBh4GJAYpBi0GMAYyBjMGNAY1BjYGNwY3BjYGMwYuBigGIQYZBhEGCQYDBf8F/QX+BgEGBgYOBhcGIgYtBjgGRAZRBl4GawZ6BooGmwarBrwGzAbaBucG8wb/BwsHFwcjBy0HNAc1BzIHKQceBxUHFAcfBzoHZwejB+kIMQhyCKQIwgjMCMMIrwiXCIIIeAh8CIsIowi/CNcI6AjwCPAI6gjjCOAI5AjwCQQJHQk7CVgJdAmNCaMJtgnHCdgJ6An4CgcKFAogCikKLwoxCjAKKgoiChkKEAoMCg8KHQo3Cl4KkArLCwsLSguFC7kL5gwLDCsMSAxkDIAMmwy2DM4M5Qz4DQoNHg02DVYNfw2zDfEONg6ADsoPEg9UD48PwQ/pEAYQFxAaEA8P8g/FD4YPOg7jDocOKg3TDYUNRA0QDOgMywy1DKMMkQx+DGkMUgw5DCEMCgv0C+ALzAu4C6QLjgt5C2ULUwtECzgLLQsjCxULAQrnCsYKoAp5ClUKNwohChMKCwoFCfsJ6gnRCa4JhglfCT0JJgkdCSIJMwlLCWUJfQmOCZgJnAmbCZgJlgmTCZAJigl9CWgJSgkhCPEIugiCCEoIFQflB7oHkwdyB1UHPAcoBxoHEAcNBw4HEwcZBx8HIwcjBx0HEAb7Bt8GvgaaBnUGVQY7BioGIgYiBikGMQY4BjgGMQYhBgkF7wXTBbsFqQWcBZQFjQWDBXMFWAUzBQQEzgSXBGMENwQWBAID+QP7BAEECQQOBAwEAQPtA9EDsQORA3QDXgNRA0sDSwNLA0cDOgMgAvcCwgKFAkYCCgHYAbEBlwGEAXYBZAFKASMA8AC0AHMANP/+/9T/t/+m/5z/lf+L/3v/Zf9K/y7/FP8B/vf+8v7w/uv+3v7C/pf+XP4W/cv9gf09/QP80/yt/Iz8bfxM/Cn8Avvc+7b7lPt3+177R/sw+xX69frO+qH6cvpC+hX57PnI+af5ifls+U75MfkU+Pv46Pjb+Nf42vjk+PH5AfkR+R75KPkr+SX5Ffj4+Mv4jfhB9+n3i/cu9tn2kPZZ9jL2GfYI9fr16vXS9bT1kPVr9Ur1MPUi9R71IvUq9TL1NfUw9SL1DvT29N30xvS19Kn0ovSe9Jr0lPSK9Hz0afRT9Dv0IvQI8+3z0POw84zzYvMy8vvyvvJ98j3x//HJ8Z7xf/Fv8WzxdPGD8ZbxqfG58cPxyPHH8cHxuPGu8aLxlPGE8XDxV/E78Rvw+fDZ8LzwpfCT8IjwgfB98HjwcfBo8FzwT/BE8DvwNvA28DrwP/BE8EXwQ/A78DDwIfAP7/3v6e/S77nvne9+713vPO8d7wLu6+7Z7sjut+6i7obuYu427gbt1e2m7X3tXO1C7S/tH+0Q7QDs7uzb7Mnsuuyx7K/ss+y87Mjs1Ozf7Ofs7ezx7PTs9+z67Pzs/Oz67PXs7ezl7N3s2OzY7Nzs5ezx7P7tCe0R7RPtD+0F7PTs3+zG7Kzskex47GPsVOxK7EfsSexO7FPsVexT7ErsOuwl7A/r++vt6+nr7uv87BHsKew/7FHsXexh7F/sWOxO7EHsM+wj7BHr/Ovk68nrreuT63vraOtb61PrT+tN60vrRus+6zPrJusX6wnq++rw6uXq2+rR6sTqteql6pPqgOpw6mHqVupO6kjqRepB6j3qN+ov6iTqGOoL6f3p7+ni6dXpyum/6bTpqemf6ZXpjOmE6X7peul56Xnpeul76Xnpc+lo6VnpSOk16SPpFukP6Q/pFeki6TPpRelY6WnpeumK6Zrpqum86c/p4Onw6f3qBuoK6gvqC+oK6gvqD+oV6h3qJ+ov6jbqPOo/6kLqRepJ6k/qVupe6mXqa+pv6nHqcepw6nHqdOp56oHqjOqX6qPqruq36r7qw+rH6srqzOrP6tLq1erZ6t/q5ers6vTq+usA6wPrBesE6wHq/ur76vvq/OsB6wnrEusd6yfrMes660LrSutS61rrZOtt63frf+uH64zrkeuU65jrneuk663rtuvA68rr0+va69/r4+vn6+vr8Ov36/7sB+wQ7BnsIuwr7DXsQexO7Fzsbex+7JDsoeyy7MHsz+zd7Ozs/O0N7R/tMe1E7VbtZ+117YLtje2Y7aLtru267cbt0+3g7ezt9e397gPuB+4K7g7uEe4W7hzuI+4r7jTuPu5I7lPuX+5s7nruiO6Y7qfutu7G7tXu4+7y7wHvEO8f7y/vP+9P717vbe9874rvmO+n77fvx+/Z7+zwAPAV8CvwQvBZ8HHwiPCg8LfwzvDj8PbxCPEZ8SnxOPFG8VXxY/Fx8X/xjfGb8afxs/G98cbxz/HW8dzx4vHo8e7x9fH+8gfyEfIb8iXyL/I48kDyR/JP8lbyX/Jp8nTygPKN8pryp/Ky8r3yx/LQ8try5PLw8v3zDPMc8y3zPvNP82DzcPN/843zm/Oo87Xzw/PT8+Tz9vQK9B/0NPRI9Fz0b/SB9JH0oPSu9Lv0xfTN9NT02PTb9N704fTm9O70+fUG9Rb1JvU29UT1UfVc9WX1bPVx9Xb1evV+9YL1hvWL9ZL1nPWn9bX1xvXY9er1+/YL9hr2J/Yz9j72SvZV9mL2b/Z99oz2nfaw9sX23vb59xb3M/dP92j3fveP9533qPez98D3zvff9/P4CPgc+DD4QvhS+GH4cfiC+Jf4r/jL+Or5Cvkp+Uf5Yfl4+Yz5nvmv+cL51vnu+gr6KfpJ+mr6ifql+rz6zvrc+uj68/sA+xD7JPs9+1j7dfuS+637xPvY++n7+PwH/Bb8Jfw3/Er8Xvx0/Iv8o/y9/Nj89f0T/TL9UP1u/Yz9qf3H/eb+B/4q/lD+eP6g/sn+7/8T/zX/V/94/53/xf/0ACgAYQCdANgBEQFEAXABlAGwAcgB3wH4AhcCPQJrAqAC2AMQA0MDbQOKA5sDoAOdA5YDjgOKA4sDkwOfA60DuwPIA9ID3APmA/MEBgQgBD4EXwSABJoErQS1BLMEqQSbBIwEgAR3BHMEcgRyBHIEbwRrBGcEYwRiBGYEcASABJQEqwTBBNUE5QTvBPEE7ATfBMkEqwSGBFsELQP/A9UDsAOTA38DcgNsA2kDZwNmA2QDYgNgA2ADYgNmA2wDcgN4A30DfwOAA38DfQN7A3oDewN8A34DfwOCA4QDiAONA5QDnQOnA7MDvgPJA9ED1wPZA9kD1wPUA88DygPFA8EDvAO3A7MDrwOqA6YDogOdA5gDkwOPA4oDhQOBA30DeQN1A3EDbQNoA2QDYANdA1sDWwNbA10DYANiA2QDZANiA18DWgNTA0sDQwM7AzMDLQMoAyMDIAMdAxsDFwMUAw8DCQMCAvsC8wLrAuQC3ALWAtACzALHAsQCwQK/ArwCugK4ArYCswKxAq0CqQKkAp8CmQKTAowChgKBAn4CfAJ7AnwCfgKBAoMChAKEAoQCgwKDAoQChgKKAo8ClAKaAp8CogKlAqcCqQKrAq4CswK5Ar8CxQLJAswCzQLMAssCygLJAsoCzALOAtAC0gLRAs8CywLHAsMCwALAAsICxwLOAtgC4gLuAvoDBgMTAx8DKgM1Az4DRgNNA1MDWANfA2YDbwN6A4cDlQOlA7UDxgPXA+cD9gQEBBEEGwQiBCYEKAQoBCcEJwQpBC0EMwQ7BFIEXARmBHAEeASABIkEkwSfBK0EvATMBNsE5wTxBPgE/AUABQQFCQUSBR4FLQU/BVMFaAV9BZEFowWyBb0FxQXJBcsFywXLBc0F0wXcBekF+QYKBhkGJAYpBiYGHQYPBf8F8QXmBeIF5gXvBf4GDQYcBiYGKwYpBiIGFwYLBgAF+AX0BfQF9wX9BgMGCQYNBhAGEgYTBhMGFAYVBhcGGAYYBhYGEgYNBgYF/gX2Be8F6gXmBeQF5AXlBecF7AXyBfoGBAYPBh0GKwY7BksGWgZqBnkGhwaVBqMGsQa+BswG2QbmBvMG/wcKBxIHGAcaBxkHFwcXBxwHKgdGB28HpgfnCCwIbQijCMgI1wjSCL0InwiACGoIYghsCIUIqQjTCPkJFwkpCS8JKgkhCRgJFQkbCS0JSAlsCZIJuQncCfgKDAoZCh8KIAodChgKEgoLCgQJ/AnzCegJ3QnRCccJwQnECdEJ6woUCkkKigrQCxgLWwuVC8QL5gv+DA4MGwwqDD0MVgx3DJ0MxwzyDR0NRw1uDZUNvA3mDhQORw6ADrwO/A89D3wPtg/oEA4QJxAuECMQBA/RD44PPA7gDoEOJQ3PDYYNSg0eDP8M6wzeDNQMyAy6DKcMkAx3DF0MRAwtDBcMAwvwC9sLxguvC5kLhQtzC2ULWgtRC0gLOwsqCxQK+QrcCsAKpwqTCoUKewpxCmQKUQo3ChUJ7gnGCaMJiAl3CXIJdgmACYoJkgmTCY4JgglzCWEJTwk8CSkJFAj8CN4IuwiUCGoIQQgZB/YH2Ae+B6gHkwd/B2sHWAdJBz0HOAc5B0EHTQdbB2gHcAdwB2YHUgc1Bw8G5ga7BpMGcAZVBkIGNwYyBjEGMAYsBiMGFQYDBe4F2QXGBbgFrwWqBacFogWXBYIFYQUzBPsEvAR9BEMEFAP0A+YD6gP7BBYEMgRKBFgEWQRLBDEEEAPuA9EDwAO8A8UD1gPqA/YD9QPhA7cDegMwAuEClgJXAigCCQH1AecB1gG8AZUBYQEjAOMApwB3AFYAQwA8ADgAMgAiAAX/2v+n/2//O/8P/u7+1/7F/rP+mv50/j/9/P2w/WD9FPzR/Jv8cfxR/Df8IPwH++z7zvuu+5D7dftc+0b7MPsY+vz62vqz+on6X/o2+hH58PnR+bL5kflt+Ub5HPjz+M/4s/ii+J34o/i0+Mz46fkI+Sf5QvlX+WP5YPlK+R/43fiF+Bz3q/c69tP2ffY+9hT1/vXy9ev14fXO9bL1kPVq9Uj1LPUb9RP1EfUR9Q31AvTv9NX0tvSa9IP0d/R29H70jfSe9Kz0tPS09Kz0m/SG9G30UfQz9BHz6/PA847zWPMd8uLyqfJz8kXyH/IB8ezx3fHT8c3xyfHG8cPxwPG98bnxtfGx8a3xqPGj8Z3xlfGJ8XrxZvFN8S/xDvDs8MnwqfCN8HTwX/BO8D/wMvAm8BvwEvAM8ArwDPAR8BrwJfAv8DjwPvA/8D3wNfAp8BfwAO/k78Pvnu9371DvLO8M7vTu4+7W7svuvu6p7oruYO4r7fDttO177UvtJu0M7P3s8+zs7OLs1ezD7K3sluyB7HDsZexg7GHsZuxu7HXsfeyD7Insj+yU7Jnsneyf7J/sm+yV7IzshOx87Hjsd+x77ITskOye7KzsuezC7MTswOy17KLsiexr7E3sMOwY7Abr/Ov46/rr/ev/6/3r9uvo69frw+uv65/rleuS65broOuw68Lr1evn6/fsBOwM7BDsDOwD6/Pr3uvD66fri+tx61vrS+s/6zjrNOsv6ynrIesX6wrq/Orv6uTq2erQ6sjqvuqy6qPqkep86mfqUuo/6i/qI+oa6hTqD+oJ6gPp++ny6efp2+nP6cXpu+mz6avppOmb6ZDpg+l06WXpV+lM6UbpRulM6VfpZOlw6Xjpeely6WDpR+kp6Qno7OjU6MTou+i56LzowujK6NPo3ejq6PvpEeks6UzpbemN6anpvunM6dPp0+nR6c7pzOnO6dPp2+nk6ezp8+n56f3qAOoD6gjqD+oW6h/qJ+ot6jLqNeo36jjqOuo96kPqSupT6l3qaOpz6n3qh+qP6pfqneqj6qfqququ6rHqteq56r7qxOrI6szqzurO6szqyerH6sXqxurJ6s7q1Orb6uLq6eru6vTq+esA6wjrEusd6ynrNes/60brS+tO61DrUutV61rrYetp63Lre+uF64/rmOui66zrt+vC683r2Ovi6+rr8ev46//sB+wS7B/sLuw/7FDsYexw7H7siuyV7KHsruy97M/s4uz17QjtGu0p7TbtQu1N7VjtZe1y7YHtke2g7a7tuu3D7crtzu3S7dbt2u3f7ebt7u337gDuCu4U7h/uKu437kXuVO5k7nbuiO6a7qzuvu7Q7uLu9O8F7xbvJu8270TvUe9e72vvee+I75nvrO/B79fv7fAE8BvwMvBI8F7wdPCK8J/ws/DH8Nrw7PD98QzxG/Ep8TfxRfFT8WHxb/F88YnxlfGg8arxs/G78cLxyfHP8dXx2/Hj8erx8/H78gTyDfIV8h7yJ/Iw8jryRvJT8mDyb/J+8ozymPKk8q/yuPLC8s3y2PLl8vTzBPMV8ybzN/NH81fzZvN184PzkfOe86zzuvPI89fz5vP39An0HPQw9EP0V/Rq9Hv0i/SZ9KT0rfS19Lv0wPTE9Mj0zPTR9Nb03vTm9PD0/PUI9Rb1I/Uv9Tr1Q/VK9U/1UvVU9Vb1WvVg9Wr1d/WI9Zr1rvXC9dX15/X29gT2EfYe9iv2OPZG9lX2ZPZz9oP2lfao9r/22fb09xL3L/dK92L3dveG95L3nPem97L3v/fP9+L39vgK+B74MfhE+Ff4avh/+Jb4r/jK+Ob5Afkc+TX5TPlh+XT5hvma+a75xfne+fr6GPo3+lf6dfqQ+qj6vPrN+tr65/r0+wP7Ffsq+0L7XPt2+4/7pvu6+8z73Pvs+/v8C/wc/C78QPxT/Gb8evyQ/Kj8wvzg/QD9I/1G/Wn9jP2s/cv96f4H/ib+SP5s/pP+vv7s/xz/T/+F/7z/9QAvAGoApADbAQwBNgFYAXEBgwGRAZ0BrQHEAeUCEQJIAoUCxAL/AzIDWANvA3cDcwNoA1oDTwNKA00DVgNkA3QDgwOOA5YDmwOfA6UDrwO/A9QD7AQFBBwELgQ6BEAEQAQ9BDkENgQ1BDQENQQ0BDIELwQqBCYEJAQlBCwENwRHBFoEbgSABJAEmwSgBJ8ElwSHBG8EUAQqA/8D0gOmA30DWgNAAy4DJAMhAyIDJAMmAycDJwMnAycDKAMrAzADNgM8A0EDRQNIA0kDSQNJA0oDSwNMA04DTwNQA1EDUgNVA1oDYANpA3MDfgOIA5EDlwOaA5sDmQOWA5EDjQOIA4MDfwN7A3cDcwNvA2wDaQNnA2YDZANjA2EDXwNcA1kDVQNRA00DSANEA0ADPQM6AzgDNgM0AzIDMAMuAy0DKgMnAyQDIAMbAxUDDgMHAwAC+QLzAu8C6wLoAuUC4wLhAt4C2gLUAs8CyALBAroCtAKuAqkCpAKgAp0CmgKWApMCjwKLAocChAKBAn4CewJ5AnYCdAJxAm0CagJmAmQCYgJhAmICYwJmAmgCbAJuAnICdQJ4AnwCgQKHAo0CkwKZAp4CogKlAqcCqAKqAqwCrgKxArQCtgK3ArgCtwK3ArYCtQK2ArcCuAK6ArsCugK5ArYCswKwAq4CrgKwArQCuwLDAs0C1wLjAu4C+gMGAxIDHgMoAzIDOgNBA0gDTwNWA18DaQN0A4EDjwOeA60DvQPNA90D7QP9BAwEGQQkBCwEMAQyBDIEMwQ1BDkEPwRHBFUEYARpBHEEdwR8BIEEhgSNBJUEoASsBLkExQTQBNoE4gTpBPEE+QUCBQ4FHQUuBUEFVgVsBYEFlAWmBbMFvAXBBcIFwAW+Bb4FwQXKBdkF7AYCBhcGKAYxBjEGKAYWBf8F5wXSBcMFvQXBBcwF3QXwBgEGDQYUBhMGDgYEBfoF8AXpBeQF4wXjBeUF5wXqBesF7QXwBfMF9wX8BgAGAwYFBgMGAAX6BfMF7AXmBeEF3gXcBdwF3AXdBd4F4QXmBe4F+QYHBhcGKQY7BkwGWwZoBnIGewaDBowGlgaiBrAGvwbPBt4G7Ab4BwEHBwcLBxAHFgchBzQHUgd7B68H7AgvCHAIqgjWCO8I9AjlCMkIpwiGCHAIagh3CJYIwgj1CScJUQluCX0Jfwl3CW0JZQllCXAJhQmjCccJ6woLCiMKMgo3CjIKJgoWCgMJ8QnhCdQJyQm/CbgJsQmrCacJqAmwCcEJ3QoGCjsKeQq+CwMLRAt8C6cLxgvYC+IL5wvtC/sMEgw2DGcMoQziDSUNZQ2gDdMN/Q4iDkMOZQ6KDrQO5g8dD1gPkw/JD/MQDxAXEAoP6A+xD2sPGA7ADmkOFg3ODZMNZQ1EDS4NHw0UDQoM/AzsDNcMwAyoDJEMewxoDFcMRgwzDB4MBQvqC80LsQuXC4MLcwtnC14LVQtJCzoLJwsSCvwK6ArXCsgKvAqwCqEKjQpyClEKLAoGCeQJxwm0CagJowmhCZ4JlgmICXEJVQkzCQ8I7AjKCKkIighrCEsIKwgLB+wH0Qe6B6gHmgeOB4MHdwdnB1UHQgcwByIHGwccByYHNgdKB1wHaQdtB2cHVAc4BxQG7AbEBp8GgAZmBlMGRQY6Bi8GJAYVBgUF8wXgBc4FwAW1BbAFrgWuBa0FqAWbBYQFYQUyBPkEuwR8BEMEFQP3A+wD8wQJBCkETARrBH8EhAR5BGEEQQQgBAYD+QP9BBEELwRQBGoEdARnBEAEAgO0A14DDALFAo4CaAJQAj4CKwIQAegBtQF6AT0BBwDdAMIAtQCxAK8ApwCSAG4AO//9/7r/e/9D/xb+8v7T/rT+jf5b/hz90/2E/TT87Pyu/H78Wvw//Cr8FvwB++n7z/u0+5r7hPtv+1v7Rvst+w/67frH+p/6evpY+jv6IPoH+ez5y/ml+Xj5SfkZ+O/4zvi4+K/4s/jB+Nf48vkQ+S35Svlh+XD5cvli+Tz4//it+En33Pdu9wr2t/Z59lH2O/Yu9iX2GPYE9eb1w/We9X31ZPVV9U71S/VG9Tr1JfUG9OH0uvSZ9IH0ePR99I70pvS+9NL03vTg9Nn0yvS39KH0iPRs9Ev0IvPy87nzevM48vnywPKS8m/yV/JK8kLyPfI38i7yIvIT8gHx8PHh8dPxyPHA8brxtPGu8ajxoPGX8YvxfPFp8VHxNfEV8PPwzvCq8IjwafBP8DnwKPAb8BLwDPAI8AbwBvAJ8A7wFfAd8CXwLfAy8DPwMPAn8BfwAO/i777vlu9s70PvHe7+7ubu1e7I7rzure6X7nbuSe4T7dftmO1f7S7tCezx7OTs3+zd7Nnsz+y+7KXsiOxo7ErsMuwg7BbsFOwX7B7sJ+wv7DbsPOxA7ELsQ+xC7EDsPew47DLsK+wl7CDsHuwg7CfsM+xE7FjsbuyD7JTsnuyf7JXsguxm7EPsHuv769zrxOu066zrq+ut66/rr+uq66Drket962jrVOtD6zjrM+s260DrUetm633rlOun67Xru+u566/rn+uK63PrXutM6z7rNOsu6ynrJOsc6xHrAury6uDqz+rA6rTqq+qk6p3qlOqI6njqZepP6jnqJOoR6gLp9unt6ebp4OnY6c/pxem46avpn+mU6YzphemA6XzpeOlx6WfpW+lM6TzpLukk6SHpJekx6UPpWelt6X3phemB6XLpWOk36RLo7ujN6LHonOiM6IDoduhu6GfoYuhi6GnoeOiR6LLo2OkB6SjpSulk6XbpgemG6YjpiemM6ZHpmOmg6anpsOm16bnpvOm/6cLpx+nO6dbp3+no6fHp+On+6gLqBeoI6gzqD+oU6hrqIeoq6jXqQepN6lrqZepw6nnqf+qE6ojqi+qN6pDqlOqX6pnqmuqa6pjqlOqR6o3qi+qM6o7qkuqX6pzqouqm6qvqsOq16r3qxurR6tzq6Ory6vrrAOsD6wXrBusI6wrrDusU6xvrJOst6zfrQutO61rraOt264Trkeud66jrseu668LrzOvX6+Xr9OwE7BXsJOwy7D7sSOxR7FrsZexy7IHskuyk7LfsyOzY7Obs8+0A7Q3tG+0r7TvtTe1e7W7te+2G7Y/tle2b7aDtpe2r7bLtuu3C7cvt1e3g7evt+O4G7hbuJ+457kzuX+5y7oXul+6q7rzuzu7g7vHvAu8S7yHvMO8+703vXe9v74PvmO+v78bv3u/18AzwIfA18EnwXPBv8IHwlPCn8Lnwy/Dc8O3w/fEM8RvxKvE58UfxVfFi8W/xe/GG8ZHxm/Gk8azxtPG88cPxy/HS8drx4fHp8fDx+PH/8gfyEPIa8iXyMvJB8lDyYPJv8n7yi/KX8qPyr/K78sfy1fLk8vPzA/MS8yHzL/M980zzWvNq83rzi/Ob86vzuvPG89Lz3fPo8/T0AvQS9CP0NvRI9Fr0afR29ID0ifSQ9Jb0nPSj9Kr0sfS39L30w/TI9M701fTe9Oj09PUA9Q31GPUh9Sj1LfUx9Tb1PPVG9VP1ZPV39Yz1oPW09cX11PXi9fD1//YO9h/2MvZE9lb2Z/Z29oX2k/aj9rb2zPbk9v/3Gvc19033Yvdz94L3j/ec96n3uPfJ99z37vgC+BT4J/g5+Ez4YPh1+I34pvjA+Nv49fkP+Sj5QPlX+W35g/mZ+a75w/nZ+e/6Bfod+jb6UPpp+oL6mvqv+sP61frl+vb7B/sZ+yz7QftW+2z7gPuT+6T7tfvF+9X75vv4/Ar8HPwu/D/8Ufxj/Hf8j/yr/Mv87/0V/T39ZP2I/an9x/3j/f7+G/49/mP+kf7E/v3/O/97/7v/+wA4AHEApQDTAPoBGgEyAUUBVAFiAXEBhgGkAcsB+wIzAm8CqgLeAwkDJgM2AzoDNAMqAyADGgMaAyADLAM6A0kDVQNeA2MDZQNoA2wDdAOAA5ADoQOzA8IDzgPVA9oD3QPeA+ED5QPpA+0D8APvA+sD5QPeA9gD1gPZA+QD9AQIBB8ENQRIBFYEXgReBFcESQQ0BBgD9wPRA6gDfQNTAy0DDgL1AuUC3QLbAt4C4wLpAu4C8wL3AvoC/gMCAwcDDAMSAxYDGQMbAx0DHgMfAyADIQMiAyMDJAMjAyMDIgMiAyUDKQMvAzYDPgNGA0wDUANRA1ADTgNLA0cDRANDA0IDQgNCA0EDQQNAAz8DPQM7AzoDOQM4AzYDNAMxAy4DKgMmAyIDHwMcAxoDGQMXAxUDEgMPAwsDBgMBAvwC+AL0AvEC7QLqAuUC4ALaAtICywLDArsCtAKuAqkCpQKhAp4CmgKWApECjQKHAoICfQJ4AnUCcgJwAm4CbQJrAmkCZgJjAl8CXAJZAlcCVQJVAlUCVQJVAlUCVQJTAlICUAJPAk8CUAJSAlQCWAJdAmECZwJsAnECdwJ8AoIChwKLAo8CkwKWApkCmwKdAp4CoAKhAqICogKiAqICogKiAqICogKkAqUCpgKmAqYCpAKiAp8CnQKbApoCnAKeAqMCqQKwArkCwgLNAtgC5QLyAv8DDAMYAyMDLAM0AzwDRANNA1cDYwNwA34DjAObA6oDuAPIA9cD5gP2BAYEFAQgBCkELwQyBDQENgQ4BDwEQwRLBEUETwRYBGAEZgRqBG0EcgR3BH8EiASTBKAErAS3BMIEywTTBNsE4gTrBPYFAwUSBSMFNwVLBWAFdAWGBZQFnwWkBaYFpQWkBaQFqAWyBcMF2QX0Bg4GJAYzBjgGMQYfBgYF6AXMBbUFpgWjBakFtwXKBd4F8AX8BgIGAgX8BfIF5wXbBdAFxwXABbsFuAW3BbgFvAXDBc0F1wXiBewF9AX4BfgF9AXvBegF4gXdBdsF2wXdBeAF4wXmBekF7QXzBfwGCAYYBikGOwZMBlsGZQZsBnEGcwZ3BnwGhAaQBp8Grwa/Bs0G2QbhBucG7QbyBvsHCgcgB0AHageeB9oIGwhcCJkIzQjzCQgJCwj/COgIzAiyCKEInQiqCMgI8gkkCVYJgwmmCbsJxAnDCbwJtAmvCbIJuwnMCeEJ9woLChgKHQoZCg0J+wnmCdEJvgmwCagJpQmnCasJsgm4Cb8JxQnOCdoJ7AoFCigKUwqGCr0K9AsoC1ULeAuSC6QLsAu9C9AL7AwVDEwMkAzdDSwNeQ29DfUOIA4/DlUOaA58DpUOuA7jDxUPSg96D6APtg+5D6UPfQ9EDv8Osw5nDiEN5A2zDY4Ncw1gDVMNRg05DSgNEwz7DOEMxwyuDJgMhQx1DGUMVQxCDCwMEgv2C9oLwAupC5gLjAuDC3wLcwtnC1YLQAsoCw4K9griCtMKxgq7Cq4KnQqGCmgKRgohCf4J4AnJCbkJrQmkCZkJiAlvCU4JJgj5CMkImghvCEcIJAgEB+gHzQe1B58Hiwd7B20HYgdWB0kHOgcmBxAG+AbjBtIGygbLBtcG6gcCBxsHLgc5BzkHLgcYBvoG1wa0BpQGdwZeBkoGOQYpBhkGCAX1BeIF0AW+BbAFpAWcBZYFkgWOBYgFfgVuBVcFNwUQBOMEsAR9BE0EJAQHA/gD+AQGBB0EOARRBGIEZgRcBEYEJwQIA+8D4wPmA/oEGgQ9BFwEbARoBEsEGQPWA4sDQQMAAswCpwKNAngCYQJCAhgB5AGqAW8BOwERAPUA5ADZAM8AvQCgAHQAPP/7/7j/ef9C/xX+7/7N/qj+fP5F/gT9uv1t/SL84Pyp/H78XfxD/C38Fvv9++H7xPun+437d/tj+1D7PPsl+wj66PrE+qD6ffpf+kX6LvoW+fz53fm4+Y35YPk1+Q/48/ji+Nz43/jp+Pj5CPkY+Sb5Mvk6+Tz5Nvki+P/4y/iG+DP32veB9y/26/a59pb2gPZw9mH2TvYz9hP17/XN9bH1n/WW9ZP1k/WP9YL1avVH9R708/TP9LX0qvSs9Lj0yvTb9Of06vTk9Nf0xfSy9J/0jPR39F30OvQO89fzmfNX8xfy3vKw8o/yefJs8mXyXvJW8knyOPIj8g3x+PHl8dbxyvHA8bjxsfGq8aTxnvGZ8ZTxjvGE8XbxYfFF8SLw+fDM8KDwd/BU8DjwJfAY8BDwDfAL8AvwC/AL8A3wEPAU8BjwHPAe8BzwFvAJ7/bv3e++75rvc+9M7yXvAe7h7sXure6Z7oTubu5T7jLuCe3a7aftc+1C7Rfs9uze7NDsyezE7L3ssuyg7IbsZuxC7B/sAOvo69nr0uvS69jr3+vm6+rr6uvm6+Dr2evS683ryuvL687r0+va6+Dr5+vv6/jsA+wR7CPsN+xM7F/sbux37Hbsa+xV7DfsE+vt68jrqOuO633rcutt62zra+to62LrVutG6zLrG+sF6vLq4+rc6tzq5Ory6wXrGust6zvrROtF6z/rNOsm6xjrC+sC6v3q++r66vnq9ert6uHq0eq/6qzqnOqO6oPqe+p06m3qZOpY6kjqNeog6gzp+enq6d3p1OnO6cjpwem56a/ppOmW6Yjpe+lw6WfpYOlb6VbpUOlJ6T/pNOkn6RrpD+kJ6QnpEOke6TLpR+lb6WnpcOlr6VzpQ+kj6QDo3Oi66J3ohehx6F/oTeg86CroGugN6AboCOgT6CjoRuhp6I/otejX6PXpDekg6S/pPOlI6VTpX+lq6XTpfOmD6Yfpi+mO6ZHplemZ6Z/ppumt6bTpu+nC6cjpzOnQ6dTp1+na6d3p4eno6fDp++oI6hbqJeoz6kDqS+pU6lrqX+pj6mfqaupt6m7qb+pt6mnqY+pd6lbqUepN6k3qT+pT6ljqXupk6mnqbupz6nnqgOqI6pDqmeqi6qnqr+q06rjqu+q+6sLqx+rM6tPq2urh6unq8er66wTrEOsd6yvrOutJ61frZetx637riuuX66brtevE69Pr4uvu6/rsA+wM7BXsH+wq7DfsR+xX7GjseeyK7Jnsqey47Mfs1+zn7PjtCu0a7SrtOO1E7U7tV+1g7WjtcO147YHtiu2T7Zztpu2x7b7tzO3c7e7uAe4U7ijuO+5O7mDuce6C7pPupO617sbu2O7p7vrvDO8d7y/vQ+9X72zvg++a77HvyO/f7/TwCfAc8C/wQfBT8GXwdvCH8JjwqfC58Mrw2vDr8PvxDPEd8S3xPfFM8VrxZ/Fy8X3xh/GQ8ZnxovGs8bbxwPHK8dTx3vHn8e/x9vH98gTyC/IU8h7yKfI38kXyVPJi8nDyfvKL8pjypfKy8sHy0PLf8u/y/fML8xfzI/Mw8z3zTfNe83HzhfOZ86rzuPPC88rzz/PU89rz4vPu8/30DvQg9DL0QfRO9Fj0YPRm9Gz0c/R79IT0jfSW9J/0pfSr9LH0t/S/9Mj01PTg9O70+vUG9Q/1F/Ue9Sb1MPU89Uz1XvVx9YT1lvWm9bT1wfXO9dz17fYA9hX2LPZC9lb2Z/Z19oD2ivaV9qP2tPbI9uD2+vcU9yz3QvdW92f3d/eG95b3pve498r33Pfu9//4EPgi+DX4Sfhf+Hj4kviu+Mr45vkC+R35N/lR+Wv5g/ma+a/5wvnU+eT59PoF+hj6LPpD+lv6c/qL+qH6tfrI+tj66fr6+wz7H/s0+0n7Xftx+4P7lful+7X7xvvY++v7/fwQ/CL8NPxF/Ff8a/yC/J38vPze/QP9KP1M/W79jf2r/cr96v4P/jv+bf6l/uP/I/9k/6T/3wAWAEcAcgCYALkA1QDvAQYBHQE0AU4BbAGPAbkB6QIbAk4CfwKpAsoC4QLuAvMC8wLxAvAC8wL5AwQDEQMfAywDNgM+A0QDSgNSA1wDaQN4A4cDlAOcA6ADnwOaA5QDjgOLA4wDkQOXA54DogOjA58DmAOPA4kDhwONA5oDrwPIA+MD/AQRBB4EIgQdBBAD+wPhA8EDngN5A1MDLQMKAukCzgK5AqoCogKfAqECpgKsArMCugLBAskC0QLYAuAC5wLtAvIC9QL3AvkC+gL7AvwC/QL+Av4C/gL8AvkC9wL1AvMC9AL1AvkC/AL/AwEDAQMAAv0C+gL3AvYC9wL5Av0DAgMHAwwDDwMRAxEDEAMPAw0DCwMJAwYDBAMBAv0C+gL3AvUC8wLzAvMC8wL0AvMC8gLuAuoC5ALdAtYCzwLJAsQCvwK7ArYCsAKpAqAClwKNAoQCegJyAmoCZAJfAlsCWAJVAlICTgJKAkcCQwJAAj0CPAI7AjsCOwI8Aj0CPQI8AjsCOQI3AjUCNAIzAjMCNAI1AjYCNgI3AjcCNgI2AjYCNwI4AjwCQAJFAksCUQJXAlwCYgJmAmsCbwJzAncCegJ+AoEChAKHAokCiwKMAo0CjQKNAo0CjgKOAo8CkAKQApECkQKQAo8CjQKLAooCiQKJAooCjQKQApUCmwKhAqkCswK+AsoC2ALnAvUDAgMOAxkDIQMoAy8DNgM/A0kDVgNlA3YDhwOYA6kDuQPJA9cD5APwA/sEBQQNBBIEFgQZBBsEHgQiBCgEMAQ6BCoENgRABEgETgRSBFYEWwRiBGoEdAR/BIsElwSiBKsEtAS7BMMEygTSBNsE5QTyBQAFDwUgBTIFQwVUBWMFbwV3BXsFfQV+BX8FhAWOBZ8FtQXRBe0GBwYbBiUGIwYXBgEF5QXJBa8FnQWUBZYFnwWvBcEF0gXfBeYF5wXhBdYFyQW5BaoFnAWRBYgFgwWDBYcFkAWdBa0FvgXPBd4F6QXvBfAF7AXnBeEF3AXaBdsF3wXmBe0F9QX8BgMGCQYRBhkGJAYxBj4GSwZWBl0GYQZiBmIGYgZkBmoGcwaBBpEGoAauBroGwQbFBskGzQbWBuYG/gchB00HgQe8B/sIOgh3CK4I3QkBCRkJJgkoCSMJGQkOCQgJCAkSCSYJQgljCYYJpwnCCdUJ3wnhCd0J1gnQCcwJzAnQCdcJ3wnmCeoJ6AnhCdUJxQmzCaMJlwmQCY8JlgmjCbMJxgnXCeYJ8gn6Cf8KBAoLChcKKwpGCmoKkwq+CuoLEgs1C1ILbAuGC6MLyQv5DDYMfgzNDR8NbA2wDeYODQ4kDjEOOA5BDk4OZQ6GDq4O1w79DxgPIg8aDv0O0A6VDlQOFA3aDasNiQ1zDWcNYw1hDV4NVg1IDTMNGAz5DNcMtQyVDHcMXAxCDCoMEQv4C98LyAu0C6ULnAubC58LpgutC68LqgubC4ILYQs7CxYK9QrbCskKvwq6CrUKrAqcCoQKZApAChkJ9QnVCbwJpwmVCYIJawlNCSYI+QjGCJEIXgguCAUH4QfDB6kHkgd8B2cHUwdABy0HGgcIBvUG4AbKBrIGnAaJBnwGdwZ9BowGowa/Bt0G9gcIBxAHDAb+BucGywasBo0GcAZVBj0GJwYSBf4F6gXXBcUFtAWkBZYFiQV8BXAFYgVUBUQFNAUjBRAE+wTkBMkEqwSKBGgERwQqBBQEBwQEBAoEFQQhBCkEKQQeBAgD6wPKA60DmQORA5cDqQPBA9kD6QPsA94DvwOVA2MDMgMGAuMCyAKzAp8ChgJlAjkCBAHKAY8BWQEsAQgA7ADTALcAlQBnAC//7v+p/2b/Kv73/s/+rv6Q/m/+R/4U/dj9lP1P/Qz80Pye/HX8VPw4/Bv7/fvb+7X7j/tq+0n7LPsT+vz65vrN+rD6kPpt+kr6KfoK+e/51fm8+aH5gvlf+Tv5F/j3+N/40fjN+NP43/jt+Pr5BPkI+Qb4//jy+OD4yPio+H/4S/gP98v3hfdB9wT20var9pD2ffZt9lv2RfYp9gn16fXN9bf1q/Wo9an1q/Wn9Zv1g/Vh9Tr1EfTv9NX0x/TE9Mj0zvTR9M/0xPSy9Jz0hPRv9F30TvRA9C70FPPy88Xzj/NU8xny4vKz8ozyb/JZ8kfyNfIi8gzx9fHd8cbxsvGi8ZXxi/GD8Xzxd/F08XTxdvF98YXxjfGR8Y7xgPFl8T3xCvDR8JXwXfAr8ATv6e/X78/vze/P79Pv2e/f7+bv7e/07/nv++/67/Lv5e/R77fvmu9671nvN+8X7vbu1u627pbudu5X7jjuG+3+7eDtw+2k7YTtY+1B7SHtA+zp7NLsv+yv7J7sjOx27F3sQOwh7ALr5+vR68PrvOu7677rwevB67zrseug64zreOtn613rW+ti63Hrhuud67TryOvY6+Pr7Ovz6/zsBuwU7CPsMew97EPsQuw27CLsBuvk67/rnOt762DrSus76y/rJ+sf6xbrCur76ujq1Oq+6qnql+qK6oPqgeqG6o/qmuql6q/qtOq16rHqquqh6pjqkuqO6o7qj+qS6pTqlOqQ6orqgep26mzqY+pb6lXqUOpK6kPqOOor6hrqCOn16ePp1OnI6b/puem06a/pqemh6ZfpjOl/6XPpZ+ld6VTpTelG6T/pN+ku6SPpF+kL6QHo+ej16Pbo/OkH6RTpIuku6TTpNOkq6RnpAOji6MLoouiE6GvoV+hG6DjoKugc6A3n/eft59/n1efS59bn4uf06A3oK+hK6Gvoi+ip6MXo3+j36QzpHukv6TzpSOlS6VrpYulo6W7pcul26Xnpe+l86X3pf+mB6YTpiemN6ZLpl+mc6aDppemq6bHpuenE6dHp3+nu6fzqCeoV6h/qJ+ov6jXqOuo+6kHqQeo+6jnqMeon6h3qFOoN6grqCeoM6hDqFuoc6iLqKOos6jHqNuo86kPqSupR6lnqYOpm6m3qc+p56oDqh+qO6pXqm+qh6qfqrOqy6rnqwerM6tnq5+r36wfrF+sn6zbrRetT62Hrbut864rrl+uj66/ruevD687r2Ovk6/HsAOwQ7CDsMexD7FXsZux37Insmuyr7Lvsy+za7Ofs9O0A7QvtFu0h7S3tOe1F7VHtXe1o7XPtf+2K7Zftpu227cft2u3t7gDuFO4m7jfuSO5Y7mjueO6J7pvure6/7tLu5u757w7vIu83703vY+9575Dvp++979Pv6e/+8BPwJ/A78E3wXvBu8H7wjPCa8Knwt/DH8Njw6vD88Q/xIfEy8ULxUPFd8WfxcPF58YHxifGT8Z7xqvG28cTx0fHd8efx8PH48f/yBvIO8hfyIvIu8jzySvJY8mbyc/KA8ozymfKm8rTywvLR8uDy7vL88wjzFfMi8zDzQPNS82bzevOM85zzqPOw87TztfO287jzvfPG89Tz5PP29Aj0GfQm9DD0N/Q99EL0SfRR9Fv0ZvRx9Hv0hfSP9Jf0oPSq9Lb0w/TR9N/07fT59QP1DfUW9SD1K/U49Uj1WfVq9Xr1ifWW9aL1rvW79cr13fXy9gn2IfY39kr2WfZl9m72d/aB9o72nvaz9sv24/b89xP3J/c490j3Vvdk93P3g/eV96f3uvfM99/38/gI+B/4OfhW+HX4lPi1+NT48fkM+Sb5PvlV+Wv5gPmV+aj5uvnL+dv56/n7+gz6Hvoz+kj6Xfpx+oT6lfqk+rP6wvrT+uf6/vsW+zD7Sftg+3X7iPuY+6j7t/vI+9r77vwC/Bb8Kfw7/Ez8XPxt/H/8lfyt/Mn85/0H/Sn9TP1x/Zj9w/3z/ij+Yf6e/t3/G/9X/47/wP/tABQAOABaAHoAmQC4ANYA9AESATIBUwF2AZsBxAHuAhgCPwJjAoECmAKpArQCvQLEAswC1gLiAvAC/wMOAxwDKQM2A0IDUANhA3MDhwOYA6YDrgOtA6QDlQOBA2wDWgNOA0kDSgNQA1cDXgNhA18DWgNTA0wDSwNQA1wDcAOJA6QDvAPPA9oD2gPRA78DpQOHA2UDQgMfAv4C3gLCAqkClAKEAngCcAJsAmsCbAJwAnQCewKCAosClQKfAqoCtAK8AsQCyQLNAs8C0QLSAtMC1ALUAtMC0QLNAskCwwK9ArcCswKwAq4CrQKsAqsCqgKnAqUCpAKjAqQCpwKtArMCuwLDAskCzgLRAtMC0wLSAtEC0QLQAtACzwLOAs4CzALLAsoCyQLJAskCygLKAsoCyQLGAsECuwK0AqwCowKaApICiQKBAngCcAJnAl4CVAJKAkACNwIvAigCIgIdAhoCFwIVAhMCEQIPAg0CCgIIAgUCAwICAgICBAIFAggCCgIMAg0CDQINAgwCCwIKAgkCCQIJAgoCCwIMAg0CDgIPAhACEgIVAhgCHAIiAigCLgI0AjsCQQJGAkwCUQJWAloCXwJjAmcCagJuAnECcwJ1AncCeAJ5AnkCegJ6AnoCegJ5AngCdwJ1AnQCdAJ0AnUCeAJ8AoAChgKMApMCmgKiAqsCtgLCAtAC3gLsAvoDBgMQAxcDHQMhAyUDKgMxAzsDSANYA2sDfwOTA6YDtwPGA9ID3APiA+YD5wPoA+cD5wPnA+oD7wP3BAIEDwQdBBEEHgQoBC4EMwQ3BDoEQARHBFAEWwRnBHMEfwSLBJYEoASqBLQEvgTHBNAE2gTjBOwE9gUBBQ4FGwUpBTcFRAVPBVYFXAVfBWIFZwVwBX4FkwWsBccF4gX4BgcGCwYFBfUF3wXGBa8FnQWSBZAFlgWhBa4FuwXEBccFxQW9BbAFoQWRBYIFdgVtBWgFaAVtBXYFhAWVBagFvAXOBd0F5wXtBe4F6wXnBeQF4gXkBekF8QX7BgcGEQYbBiIGKQYvBjUGOwZCBkgGTQZPBlAGTgZMBkkGSQZNBlUGYQZwBoEGkAadBqcGrga1BrwGyAbcBvkHIQdRB4gHxAgACDsIcgikCNAI9wkYCTUJTQlhCXEJfQmFCYoJjgmSCZUJmwmiCaoJsgm5Cb0Jvwm9CbkJsgmrCaQJoAmfCaAJpAmpCa0JrwmuCaoJpAmbCZMJjAmKCYwJlgmkCbgJzgnlCfkKCQoTChkKGwocCh4KJQoxCkUKXwp+Cp8KwArfCvwLGAs2C1gLggu3C/YMQAyQDOANKw1sDZ4NwA3UDd0N4Q3lDe8OAQ4bDjoOWg50DoIOgQ5tDkgOFQ3bDaENbA1DDSgNHA0dDScNNg1EDU0NTQ1EDTANFAzxDMgMngxyDEYMGgvvC8ULnQt6C1wLSAs+C0ILUQtrC4sLrAvIC9kL3AvOC7ELiAtZCyoLAQrjCtEKygrLCs0KywrBCq0KjQplCjgKCgnfCbkJmAl7CV8JQAkdCPMIwwiPCFkIJgf2B80HqgeMB3IHWQdBBygHDQbyBtgGvwanBpIGfgZsBlwGTwZGBkIGRQZQBmMGfAabBroG1wbvBv4HBAcABvMG3gbFBqgGiwZsBk8GMwYYBf8F5wXSBb8FrgWeBY4FfgVsBVgFQwUtBRgFBgT4BO0E5wThBNsE0QTBBKwEkQRzBFUEOwQoBBwEGAQXBBcEEgQGA/ED1AOwA4sDaQNQA0EDPQNCA0sDVANYA1UDSgM4AyMDDgL7AuwC3wLTAsICqwKJAl4CKgHxAbgBggFSASkBAwDcALEAfgBA//r/rv9i/xv+3v6s/of+av5Q/jT+Ev3m/bH9dv04/Pz8xfyW/G78TPws/Ar75fu8+477X/sx+wX63vq7+pv6ffpe+j36G/n3+dP5sPmQ+XL5Vvk6+R34//jf+MD4pfiQ+IT4g/iM+J74s/jJ+Nr45Pjk+Nr4x/is+Ir4Yvg0+AH3yfeO91H3Fvbg9rH2i/Zv9lv2TPY/9i/2HPYF9ev10vW99a31pPWh9aD1nvWY9Yn1cfVS9TD1DvTw9Nv0zfTH9MX0wvS69Kz0l/R89F/0Q/Qq9Bf0CfP98+/z3PPC86DzdvNG8xTy4vK08oryZPJB8h/x/vHd8bzxnfGA8WjxVvFH8T3xNvEw8S3xLPEv8TfxRvFb8XPxi/Gd8aTxnPGB8VPxFfDN8IDwNe/y77zvk+9472rvZu9q73Tvge+R76PvtO/D787v0+/Q78TvsO+V73bvVu837xrvAO7o7s/ute6X7nXuUO4p7gTt4+3H7bPto+2X7Yztfu1q7VHtM+0R7O7sy+yq7I3sdOxc7EfsMuwe7Avr+uvt6+Xr4evg6+Dr3uvX68jrseuT63LrUes26yXrIusr60HrX+uB66HrvOvO69fr2uvY69br1uva6+Tr8ev/7ArsEOwN7ADr6evL66frgetc6zrrHesF6vLq4urV6sjquuqq6pjqhepv6lrqR+o26ijqH+oa6hnqG+oe6iLqJeon6ibqI+of6hvqGOoW6hbqGOoa6hzqHuog6iHqIeoi6iPqJeon6ijqKOol6h7qE+oF6fXp4+nS6cPpt+mt6aXpnumY6ZDph+l86XDpY+lY6U3pRek/6TrpNuky6S3pJukc6RHpBej56O3o5Oje6Nvo3Ojf6OXo6+jv6PHo7ejj6NTov+il6IrobuhU6D3oK+gc6BHoCegC5/rn8efn59zn0OfF573nuee658Lnz+fj5/3oG+g76Fvoe+iY6LLoyOjb6Ovo+ekG6RPpIOks6TjpQelI6UzpTOlK6UfpQ+lB6UDpQulH6U3pVOlb6WLpaOlt6XPpeumC6Yzpl+mj6bDpvenK6dXp3+np6fHp+On96gHqAuoA6fvp8+nq6d/p1unO6cjpxunG6cnpzenR6dbp2unf6eTp6enw6ffp/+oI6hHqGuoi6irqMeo46kDqR+pP6lfqXupl6mvqcOp16nvqguqL6pbqo+qy6sLq0+rk6vXrBOsT6yDrLes660brUute62rrduuC643rmuum67Trw+vS6+Pr9OwG7BjsK+w97FDsYexy7ILskeye7KvstuzB7Mzs2Ozk7PHs/+0O7R3tLO077UntWO1l7XPtgu2R7aHtsu3E7dbt6e377g3uH+4w7kLuU+5k7nbuiO6a7q3uwO7U7uju/O8R7ybvPO9R72jvf++W763vxe/e7/bwDfAj8DjwSvBb8GvwePCF8JHwnvCs8Lvwy/Dc8O7xAPES8SLxMfE98UfxT/FW8VzxYvFp8XHxe/GH8ZXxo/Gy8b/xy/HW8eDx6vH08f/yDPIb8ivyPPJM8lzyavJ28oHyjPKW8qLyrvK88sry2fLp8vjzBvMV8yTzM/ND81PzY/Ny837ziPON85DzkfOS85TzmPOh863zvPPN893z7fP79AX0DvQV9Bv0IvQq9DT0P/RL9Fj0ZPRv9Hv0iPSV9KP0sfTA9M/03fTq9PX0//UJ9RT1IPUt9Tv1S/Va9Wr1ePWF9ZL1oPWv9cD11PXp9f72EvYk9jT2P/ZJ9lL2XPZp9nn2jfak9rz21Pbq9vz3C/cX9yL3LPc490f3WPds94H3mPew98r35vgF+Cj4Tvh3+KL4zPjz+Rb5M/lL+V35a/l3+YL5jvmb+ar5u/nN+d/58/oG+hr6LfpA+lL6Yvpx+n36ifqT+p/6rfq/+tX67vsL+yj7Rftf+3b7ifuZ+6f7tvvF+9f77PwD/Br8MPxF/Fb8Zfxy/H78i/yb/K/8x/zk/Qf9L/1d/Y/9xf3//jv+ef61/u//Jf9W/4L/qf/M/+4AEAAyAFYAegCfAMIA4wEBAR0BOAFTAW8BjQGvAdMB9wIbAj0CWgJzAocCmAKoArcCxwLZAu0DAgMXAywDQANUA2gDfAOPA6IDswPAA8UDwwO4A6UDiwNuA1EDOAMmAx0DGgMeAyQDKgMuAy4DKgMjAx0DGwMdAyYDNgNJA18DcwOBA4gDhgN6A2YDSwMrAwgC5QLEAqUCiQJyAl4CTgJCAjoCNQIyAjECMQIzAjYCOgJAAkgCUgJcAmgCdAJ+AogCjwKVApkCmwKdAp0CnQKcApkClQKPAocCfwJ2AmwCZAJdAlgCVAJSAlECUAJQAlECUgJUAlcCXAJhAmgCbwJ2AnwCgQKEAocCiAKJAosCjAKOApEClAKXApgCmgKaApkCmAKWApQCkgKQAo4CiwKIAoMCfgJ3Am8CZgJcAlECRgI6Ai8CJAIZAg8CBQH8AfQB7AHlAd4B2QHVAdIB0AHPAc4BzgHOAc0BzQHLAckByAHHAcYBxgHIAcoBzQHQAdMB1QHXAdgB2AHYAdcB1wHXAdgB2QHbAd0B4AHiAeUB5wHrAe4B8gH3Af0CAwIJAhACFwIeAiUCLAIyAjgCPgJDAkgCTAJQAlQCVwJbAl4CYAJiAmQCZQJlAmQCYwJiAmECYAJfAmACYgJlAmkCbwJ2An4ChwKQApkCowKuArgCxALRAt4C7AL5AwUDEAMYAx8DJAMoAywDMAM2Az8DSgNYA2cDeAOKA5oDqAOzA7sDvwO/A70DuAO0A7ADrgOwA7YDwAPOA94D8AQBA/8ECQQOBBEEEgQTBBUEGQQgBCkENQRCBFAEXwRuBH0EjQSdBKwEvATKBNYE4AToBO4E8wT4BP8FCAUSBR4FKwU2BUAFSAVNBVIFWAVhBW8FggWbBbYF0QXpBfkGAAX9BfEF3QXHBbIFoQWXBZYFmwWmBbIFvQXEBcUFwAW2BagFmgWLBYAFeAV0BXUFegWDBY8FnAWrBboFyQXWBeEF6QXuBfEF8gXzBfQF+AX+BgYGEAYbBiUGLwY3Bj0GQgZGBkkGTQZRBlQGVgZWBlUGUwZRBlAGUQZWBl4GagZ3BoYGlAagBqwGuAbGBtoG9QcZB0gHfge6B/gINAhqCJkIwAjgCPwJFQkvCUoJaAmHCaUJvwnTCd8J4gndCdAJvwmsCZkJiAl6CW4JYwlbCVIJSwlECT8JPAk8CUEJSglWCWMJcgl+CYgJjgmRCZEJjwmPCZEJlwmiCbIJxgncCfIKBwoZCicKMgo8CkQKTgpZCmcKdgqGCpYKpAqwCrsKxwrYCvELFAtFC4ILyQwWDGUMrgztDR4NQQ1XDWQNbQ12DYQNmA2yDc4N5w35Df0N8Q3VDaoNdA07DQUM2Ay4DKgMqAy0DMkM4Qz4DQcNDg0JDPoM4Ay9DJUMZww2DAILzguZC2ULNgsNCu0K2grWCuIK/QskC1ILgQuqC8cL1AvQC7oLlwttC0ILHAr/CuwK4wrgCt4K2ArKCrEKjQpgCi0J+AnFCZcJbglJCSUJAQjaCK4IfghLCBgH5we7B5QHcgdVBzoHHwcDBuUGxQalBoYGagZTBkAGMgYpBiMGIQYiBicGMAY+BlEGagaGBqQGwQbbBvAG/gcEBwIG+AbnBtEGtwaaBnsGXAY9Bh8GAwXqBdQFwQWvBZ0FiwV2BWEFSgUzBSAFEQUIBQUFCAUOBRMFFAUNBP4E5gTHBKUEgwRmBFEEQwQ7BDcEMQQmBBMD9gPSA6oDgANbAz0DKQMdAxgDGAMZAxgDFgMRAwsDBQMAAvsC9gLuAuACyQKoAn0CSwIVAd4BqgF6AU4BJAD4AMUAigBG//n/qP9X/w3+zP6X/m7+T/40/hj9+P3R/aH9bP00/Pz8yfyb/HP8UPwu/Ar74/u4+4n7Vvsk+vP6xPqa+nL6Tfop+gT54Pm7+Zj5dvlX+Tr5HvkD+Oj4zPiw+JX4f/hu+Gb4aPhz+IT4mviv+L/4x/jF+Lf4nvh8+FH4IPfr97P3evdB9wv22fat9oj2a/ZV9kT2OPYs9h/2EPX/9ez12vXK9b31tPWt9ab1nfWQ9X31ZfVJ9S31EvT79Or03/TX9ND0xvS49KP0ivRs9E70MfQY9ATz9PPl89fzxfOu85LzcfNM8yTy+/LR8qfyffJR8iTx9vHK8aDxe/Fc8UXxNPEp8SLxHfEZ8RbxFfEa8SbxOvFW8Xbxl/Gy8b/xu/Gh8XHxLvDd8IXwLu/f753vau9H7zPvLe8x7z7vUe9o74Hvme+t77vvwO+676nvkO9w707vLu8R7vru6O7X7sbuse6U7nHuSO4d7fTt0e237aftoO2e7Zztlu2H7W3tSe0d7O3sv+yV7HLsWOxG7DnsMOwo7CHsGewT7A7sCuwH7ATr/uvy697rwuug63rrVes26yLrHOsl6zvrWet665jrr+u867/rueuu66Trneud66TrsevA683r1evU68jrseuS623rResf6v3q4erL6rrqreqh6pbqiep66mfqUuo66iLqCeny6d3pzOm/6bbpsemv6bHptem56b7pwunF6cbpx+nH6cfpxunF6cTpxOnG6cnpzunU6d3p5unu6fXp+en66fbp7unj6dXpx+m56azpoOmW6Y3pg+l36WnpWulJ6TjpKOkb6RHpC+kJ6QnpDOkO6Q7pDOkH6P7o8ujk6NXox+i66K/oqOil6KTopuiq6K7osOiw6KvooeiS6H7oZ+hO6DToHegJ5/nn7ufm5+Ln3+fc59fn0OfH57znseep56Tnpeet57zn0efq6AboI+g+6FXoaeh56IfolOih6LDowOjS6OTo9OkC6QzpEukU6RLpD+kM6QrpCukN6RLpGOkf6SbpLOky6TjpPulE6UzpVelf6WnpdOl+6Yfpj+mX6Z7ppOmo6azprumu6azpqemk6Z7pmemU6ZHpj+mO6Y/pkOmS6ZTplumZ6Z3ppOms6bbpwenM6djp4unr6fLp+en/6gTqCuoR6hnqIeop6jHqOepA6kfqT+pX6mHqbep66onqmuqq6rvqzOrc6uvq+esG6xPrIOss6zjrRetR617ra+t464brlOuj67Prw+vT6+Tr9ewG7BfsKew57ErsWexn7HXsgeyM7Jfsouyu7LrsyOzX7Ojs+e0K7RztLe0+7U/tX+1v7X7tj+2g7bLtxe3Y7ezuAO4U7ifuOe5L7lzube597o7un+6x7sTu2O7s7wHvF+8s70PvWe9x74jvoe+579Lv6/AC8BnwL/BD8FXwZfB08IHwjvCa8KXwsfC+8Mzw2vDo8PbxBPER8RvxJPEr8THxNvE88ULxS/FW8WLxcPF/8Y7xnPGp8bbxwvHO8dzx7PH+8hLyJvI68k3yXfJq8nXyfvKF8o7yl/Kj8rLywvLT8uTy9vMF8xPzIPMs8zbzQPNI81DzV/Nd82HzZvNq82/zdfN+84nzlfOj87LzwPPN89nz5PPu8/f0AfQL9Bb0IfQs9Dj0Q/RP9Fz0afR29IX0lPSj9LP0wfTP9Nz06fT19QH1DvUc9Sr1OfVI9Vj1Z/V39Yj1mfWs9cD11PXn9fj2B/YS9hv2IvYp9jH2PfZM9l72dPaL9qD2tPbD9s/22Pbg9un29PcE9xj3MPdL92j3h/en98r37/gZ+Ef4e/ix+Oj5HflN+XX5k/mm+bD5tPmz+bL5s/m4+cL50Pni+ff6DPoi+jb6SfpZ+mj6dPp++of6kPqZ+qT6svrE+tn68vsO+yr7Rvtg+3f7i/uc+6z7vfvP++X7/fwY/DP8Tfxl/Hr8ivyX/KL8rfy6/Mr84fz+/SL9Tv2B/bj98/4v/mr+o/7X/wX/Lv9R/3H/jv+t/87/8wAcAEgAdQChAMkA7AEHAR0BLwE/AVEBZwGCAaMBxwHvAhYCOwJdAnoCkwKrAsIC2wL2AxQDNANUA3QDkgOrA8ED0QPcA+ID4wPeA9MDwQOrA48DcgNUAzgDIAMPAwQC/wL+Av8DAAL/AvwC9gLvAugC5QLmAu0C+AMIAxgDJwMyAzYDMgMmAxIC9wLXArQCkQJuAk0CMAIYAgQB9QHrAeYB4wHkAeYB6gHuAfMB+AH/AgYCDwIaAiUCMQI8AkYCTgJUAlkCWwJdAl0CWwJZAlUCUAJJAkACNwItAiICGQIRAgwCCAIGAgYCBgIIAgoCDQIQAhMCFwIcAiECJwItAjMCOAI8Aj8CQQJDAkUCSAJKAk0CUQJUAlYCWAJZAlkCVwJVAlECTQJIAkQCPwI6AjUCMAIpAiICGgIQAgYB+gHuAeIB1gHLAcEBtwGuAaYBnwGYAZIBjQGIAYQBggGAAYABgQGCAYQBhgGHAYgBiAGIAYgBiAGJAYsBjgGRAZQBmAGbAZ0BnwGgAaEBogGjAaQBpgGpAawBrwGzAbcBuwG+AcIBxwHLAdAB1gHdAeQB7AHzAfsCAwIKAhECFwIdAiMCKAItAjICNwI8AkECRQJJAkwCTQJPAk8CUAJRAlICUwJWAloCXwJlAmwCdAJ8AoUCjwKZAqMCrgK5AsQC0ALcAugC9QMBAw4DGgMmAzEDOwNFA04DVQNdA2MDagNxA3cDfgOFA4oDjwOTA5QDkwOQA4sDhwODA4IDhAOLA5YDpgO4A80D4APxA/4EAQQBA/4D+wP4A/cD+gQABAoEFQQjBDIEQgRTBGYEegSPBKUEugTOBN8E7AT2BPwFAAUEBQcFDAUTBRwFJgUvBTcFPQVCBUgFTwVaBWoFgQWdBbsF2QXzBgQGDAYJBfsF5wXRBbwFrQWnBaoFtQXFBdcF6AX0BfoF+AXxBeYF2QXNBcIFvAW4BbgFugW9BcAFxAXIBcsF0AXVBdsF4gXpBfEF+gYCBgsGFAYdBiYGLwY3Bj4GRAZJBk4GUgZYBl4GZQZtBnUGfQaEBokGjgaRBpQGmQaeBqUGrQa2BsAGywbWBuMG9AcLByoHUgeCB7oH9ggzCGwInQjECOEI9AkACQoJFAkkCTkJVQl0CZUJsQnFCc8JzAm9CaQJhQliCT8JHwkECO4I3QjQCMUIvQi4CLUItwi+CMoI3Qj0CQ4JKQlDCVkJawl3CX4JgwmHCYsJkwmfCbEJxgnfCfkKFAouCkcKXgpzCoYKmAqnCrQKvQrBCr8KtwqrCp0KkQqLCpAKowrFCvULMgt3C74MAgw+DG8MlgyzDMoM3gzzDQsNKA1GDWMNeg2GDYMNcA1NDRwM5AyqDHUMSQwsDB0MHgwpDD0MUwxmDHQMeQx0DGUMTQwuDAsL4wu6C5ALZws+CxYK8grSCrkKqAqiCqgKuwrXCvsLIgtIC2kLgAuMC4sLfwtrC1ILOAsfCwkK9QriCs4KtQqWCnAKQgoRCd0JqQl5CU0JJAj/CNoItAiMCF8IMQgAB9EHpQd9B1oHPAchBwgG7QbRBrMGkwZzBlUGOwYmBhgGDwYMBg0GEQYXBh8GKQY3BkcGWgZxBokGoQa4Bs0G3AbmBuoG6AbgBtIGwAarBpIGdwZaBj4GIgYIBfAF2wXHBbQFogWPBXsFZwVUBUMFNgUvBS0FLwUzBTcFNgUvBR8FCATpBMgEqASLBHUEZgReBFgEUwRJBDkEIQQCA94DuQOWA3kDYgNTA0kDRAM/AzsDNAMsAyQDGwMUAw0DBAL5AugCzwKtAoECTwIYAeABqwF4AUoBHADuALwAgwBB//j/q/9d/xP+0P6X/mn+Qv4h/gL94P26/Y79Xf0q/Pf8x/yb/HP8Tvwq/Ab73/u1+4j7V/sn+vf6yfqd+nX6Tvop+gX54/nB+aH5hPlp+VD5Ovkj+Q349vjf+Mj4s/ii+Jf4k/iW+J74qfi0+Lr4ufiu+Jn4evhS+CP38Pe894j3Vfcm9vz21va19pn2gvZu9l32TfY+9i/2IPYQ9gH18vXk9dj1zfXB9bP1pPWQ9Xr1YvVJ9TH1G/UJ9Pv07/Tj9Nf0x/S09J30g/Ro9E30NfQf9Avz+vPo89XzwPOo843zcfNT8zTzFPLy8s3yo/J18kTyEvHh8bXxkPF18WPxWvFW8VTxUvFO8UjxQvFA8UTxUPFl8YDxnfG28cPxv/Gl8XbxM/Dh8IfwLu/b75bvYe897yrvJ+8v70HvWe9z747vpe+377/vve+w75nve+9Z7zfvGu8C7vLu5u7c7tDuve6h7nzuUO4g7fLtyu2s7ZjtjO2F7X3tb+1Y7TbtCuzY7KXsduxQ7DTsJOwd7BzsHewc7BjsEOwF6/jr7Ovi69jrzeu/663rlet461frOOsd6wzrB+sP6yLrO+tX62/rf+uG64Lrd+tp61zrVOtU61zraet564Xri+uH63frXOs66xTq7urN6rPqoeqX6pPqkeqR6o7qh+p66mjqUOo16hfp9+nZ6bzpo+mN6X3pculr6Wrpbely6Xrpg+mL6ZLpmOmb6Zzpm+mZ6ZbpkumR6ZDpk+mX6Z7ppumv6bfpvenA6cDpvem36a/ppemb6ZLpiOl+6XTpaOlZ6UjpNekg6Qvo+Ojn6Nro0ujP6NHo1ejb6ODo4+ji6N7o1OjG6LXoo+iP6H3obuhj6F7oXuhj6GvoduiB6InojOiI6H3oauhS6DXoF+f75+LnzufB57rnuOe457nnuOe156/np+ee55fnk+eV55znqee859Hn6Of96BDoIOgs6DboP+hJ6FboZuh46I3ooei16Mbo0+jc6OHo4+jj6OPo4ujj6OXo6Ojs6PHo9uj86QLpCOkP6RfpH+kn6S7pNek76T/pQulF6UfpSelL6U7pUelT6VbpWOla6VvpXele6WDpYeli6WLpYulh6V/pXulf6WHpZulv6XnphumU6aLpr+m56cHpyOnN6dHp1enb6eLp6unz6f3qB+oR6hrqI+os6jXqP+pK6lbqZOpz6oPqlOql6rbqxurW6uXq8+sB6w/rHOsp6zbrQ+tR61/rbet764rrmOum67TrwuvR6+Dr7+wA7BHsIuwz7EPsUuxg7GzseOyD7I7smuyo7LfsyOzb7O7tAe0U7SftOe1L7Vztbu2A7ZPtqO2+7dTt6u3/7hTuJ+447kjuV+5m7nXuhe6W7qjuu+7Q7uXu++8R7yfvPO9S72fvfe+T76nvwO/W7+3wBPAb8DHwRfBY8GjwdvCC8IzwlPCb8KPwrPC28MLw0PDe8Ozw+vEH8RPxHvEo8TPxP/FN8VzxbfF98Y7xnPGp8bTxvvHH8dHx3vHt8f/yE/In8jvyTfJc8mfyb/J28nzyhPKN8pryqfK78s3y3vLt8vnzA/MJ8w7zEfMV8xnzH/Mm8y7zN/NB80vzVfNg82vzdvOB843zmfOm87PzwPPN89rz5vPy8/30CPQT9B30J/Qx9Dz0SPRV9GP0cvSC9JP0pPS19MX01vTl9PT1A/UR9R71LPU69Ur1WvVs9YD1lfWr9cH11fXm9fT1/vYE9gn2DPYR9hn2JPYz9kT2V/Zo9nb2gPaH9oz2kPaY9qT2t/bQ9vD3FPc792H3h/es99H3+fgk+FX4jPjH+QT5QPl0+Z/5v/nR+dn52PnT+cz5yvnM+dX54/n2+gv6Ifo1+kf6Vfph+mv6dPp8+oX6j/qa+qf6t/rK+t/69vsQ+yr7Rftf+3j7kPuo+7/72Pvy/A78K/xK/Gn8hvyg/Lj8yvza/Of88/0B/RL9KP1F/Wj9kv3D/ff+Lf5i/pX+wv7p/wv/Jv8//1b/cP+P/7T/4QAUAEsAhAC6AOkBDwEsAUEBTwFaAWYBdgGMAaoBzgH2AiACSgJwApQCtQLVAvYDGQNAA2sDmAPFA+8EFAQwBEIESQRFBDcEIQQFA+UDwwOhA38DYANEAysDFwMIAvsC8gLpAuEC2ALOAsMCuAKuAqgCpQKoAq8CugLIAtYC4gLqAuwC5wLZAsUCqgKLAmgCQwIeAfsB2wG/AagBlgGLAYQBgwGFAYoBkQGaAaIBqwG0Ab4ByAHTAd4B6gH0Af4CBgINAhECFAIWAhYCFAISAg8CCgIEAf4B9gHvAecB4AHaAdUB0gHRAdAB0QHSAdMB1AHVAdcB2QHdAeEB5wHtAfMB+QH+AgICBAIGAgcCBwIHAgcCCAIJAgsCDQIOAg8CDwIOAgsCCAICAf0B9gHvAekB4gHaAdMBygHBAbcBrQGhAZYBigF/AXUBawFjAVsBVAFOAUgBQgE9ATkBNgE0ATQBNAE2ATkBPAE/AUIBRQFHAUkBSwFNAU8BUQFTAVYBWgFdAWABYgFkAWYBaAFqAWwBbwFyAXYBegF/AYQBiQGPAZQBmgGgAaYBrQG1AbwBxAHMAdQB3AHjAeoB8QH3Af4CBAILAhECGAIeAiQCKQItAjECMwI2AjgCPAJAAkUCSwJSAlsCYwJsAnUCfgKHApECmgKlAq8CugLFAs8C2gLlAvAC+wMIAxUDJQM2A0gDWgNsA3wDiQOTA5kDmwOaA5YDkQOLA4UDfwN7A3YDcgNvA20DbANuA3MDfAOJA5oDrgPCA9YD6AP1BB0EHQQZBBMEDAQIBAYECAQNBBUEHwQrBDgERwRXBGkEfQSTBKwExQTdBPMFBgUVBSEFKQUvBTUFOgU/BUQFSAVMBU0FTQVNBU4FUwVeBXAFigWqBc0F7wYMBiEGKgYoBhwGCAXzBeAF1AXSBdsF7QYGBiIGPQZUBmMGawZsBmcGXwZUBkoGPwY1BisGIAYTBgQF9gXnBdsF0wXQBdIF2QXkBfMGAgYSBiAGLAY2Bj0GQwZHBkoGTgZSBlkGYQZrBngGhgaVBqUGtQbFBtMG4AbtBvcHAgcLBxQHHQcmBy4HOAdEB1MHaAeEB6YH0AgACDMIZQiUCLsI2AjqCPEI8gjuCOsI7Qj2CQcJHgk6CVUJbAl5CXoJbwlXCTYJEAjnCMAInAh+CGYIUghDCDcILwgrCCwINAhDCFkIdgiYCLwI4QkDCR8JNglICVUJYQluCX4JkgmtCcwJ7woUCjkKXAp8CpkKswrJCt0K7wr9CwYLCAsDCvUK3grBCqAKgApmClYKUwpgCn0KpgraCxILSgt/C68L2Qv+DCEMQwxnDI4MtQzbDPsNEQ0ZDREM+AzPDJoMXgwhC+kLuwuaC4gLgguHC5ILoAurC7ELrwukC5ILegtdC0ALJAsLCvcK5wrZCs8KxQq7Cq8KpAqaCpIKjwqTCp4KsArKCugLBwslCz8LUgtbC1sLUAs8CyAK/ArSCqQKcgo9CggJ1AmhCXMJSAkiCP4I3Qi8CJkIcwhJCB0H7ge/B5IHaQdEByUHCgbyBtsGwwarBpEGdwZeBkYGMgYjBhkGFAYTBhUGGgYgBicGMAY6BkYGVAZkBnMGgwaQBpsGogamBqcGpAagBpkGkAaFBnkGaQZXBkMGLgYYBgIF7QXZBcYFtAWjBZIFgQVwBWEFUwVHBT4FNwUxBSoFIAUSBP8E6ATOBLMEmQSDBHIEZQRcBFUETARBBDEEHAQEA+oD0QO8A6wDoQOaA5YDkQOKA34DbwNdA0gDNAMiAxEDAQLwAtsCwAKdAnACPAICAcUBiAFOARgA5gC1AIQATwAV/9b/kv9M/wb+xf6J/lX+J/3//dr9tf2P/Wf9Pf0R/OT8ufyP/Gf8Qfwb+/T7y/ug+3P7RfsX+ur6wPqX+nL6Tvos+gz57PnO+bH5l/l/+Wr5V/lE+TH5HvkJ+PX44vjR+MT4vPi5+Ln4u/i7+Lb4qviV+Hf4UPgh9+/3vPeM91/3OPcX9vv24/bO9rr2pfaQ9nn2YvZL9jX2IPYO9f/18vXm9dr1zPW89an1k/V69WD1RvUt9Rf1BPTz9OT01fTF9LP0n/SI9HH0WfRE9DD0HvQN8/zz6vPV873zovOG82vzUPM38yDzCfLv8tHyrPKC8lPyIfHy8crxq/GY8ZDxkfGX8Z7xofGd8ZTxhvF38WzxaPFt8XnxifGX8Z3xlPF48UfxAvCw8FXv+++o72PvMe8S7wbvC+8d7zjvV+9275Hvpe+w76/vpO+O73LvUe8x7xXu/+7x7uru5u7j7truyu6u7ojuWu4m7fPtxO2c7XztYu1L7TPtFuzx7MXslexj7DbsEuv66+7r7Ovy6/nr/Ov56+7r2uvA66PriOtw61zrTOs+6y/rHusK6vTq3urM6sHqvurG6tfq7esF6xrrKOsu6y3rJesb6xLrD+sS6xvrJ+s06z3rPes06x/rAere6rrqmeqA6nDqaupu6nfqg+qO6pTqleqN6n7qaOpM6i3qDenr6cvpremS6XrpZ+lX6U3pR+lF6UfpS+lR6VjpXulk6Wnpa+ls6Wzpaulo6WbpZell6Wfpaulv6XTpeel+6YHpgumB6X7peelz6W3pZulf6VfpTulE6TfpKOkW6QPo7+jb6Mrou+ix6Kvoqeir6K7osui16LTor+im6Jjohehw6FvoRug26CroJegl6CzoNuhC6E3oU+hU6E3oPugo6A3n7ufQ57Xnn+eQ54fnhOeG54nnjeeQ55DnjeeJ54Xng+eD54nnk+eh57PnxufY5+nn9ugB6AroEegZ6CLoLeg86E3oX+hy6ITolOig6KrosOi06Lbotui26LfouOi66L7ow+jJ6NDo2Ojh6Ono8Oj26Pro/Oj86Pvo+Oj16PPo8ejx6PLo9ej56P7pA+kK6RDpF+kd6SPpKOks6S3pLekr6SjpJekj6SLpJekr6TTpQelQ6WDpb+l86YjpkemY6Z7po+mp6bDpuOnC6c3p2Onk6e/p+eoD6gzqFOod6ibqMOo76kjqVupm6nfqiOqa6qzqvOrM6tvq6ur46wXrE+sh6y/rPetM61rraOt164Lrj+ud66rruevK69vr7uwB7BPsJew17ETsUexd7GjsdOyA7I7sneyu7MHs1Ozo7PvtDu0h7TTtR+1c7XHtiO2f7bftzu3l7fruDu4f7jDuP+5O7l7ubu6A7pPuqO697tLu6O797xLvJu86703vYO9z74Xvme+t78Lv1+/u8ATwGvAv8EHwUfBd8GbwbfBz8Hjwf/CI8JTwo/C18Mjw3fDy8QfxG/Ev8UTxWfFv8YbxnvG08cjx2PHk8evx7/Hw8fDx8vH38gDyDfId8i/yQPJP8lzyZfJs8nLyePJ/8onylvKl8rTyxPLR8tvy4fLk8uXy5fLm8uny7/L48wPzEfMg8y/zPvNL81fzYvNt83fzgfON85nzpfOy87/zzPPX8+Lz7PP28//0CPQS9B30KfQ39Eb0VvRo9Hv0j/Sk9Lj0y/Td9O30+/UI9RP1HvUp9Tf1R/VZ9W/1h/Wf9bf1zPXe9ev19PX59f32AvYJ9hL2HvYs9jv2R/ZP9lL2UfZO9kz2TfZX9mr2h/av9t33Dvc/9233lPe399b39PgV+Dv4aPia+ND5B/k5+WL5gfmV+Z75oPme+Z35n/mo+bf5zPnk+f36FPoo+jf6QvpK+lH6V/pf+mr6d/qH+pn6rvrE+tz69vsR+y77TPtr+4z7rPvN++78Dvwv/E/8bvyN/Kv8x/zh/Pj9Df0f/TD9QP1Q/WP9ef2U/bP91/4A/iv+V/6B/qn+zP7p/wL/F/8s/0L/Xf9//6r/3wAbAFsAnQDbARMBQAFkAX0BjgGbAaYBtQHJAeMCBAIpAlACeQKhAscC7QMUAz0DaQOaA84EBAQ5BGoEkgSwBMAEwQS1BJsEeAROBCAD8QPEA5oDdQNVAzoDIwMPAv0C6wLZAsYCsgKeAowCfAJvAmgCZwJrAnQCgAKNApoCowKnAqQCmgKKAnMCVgI2AhMB7wHLAagBiAFrAVMBPwExASgBJAElASkBMAE5AUQBTwFaAWYBcgF+AYoBlgGgAaoBswG6Ab8BwwHFAccBxwHGAcQBwgG/AbwBuAGzAa8BrAGoAaYBpAGjAaIBoQGgAaABnwGfAaABoQGkAagBrQGyAbkBvwHEAcgBywHMAcsBygHIAccBxQHFAccByQHLAc4B0AHRAdABzgHKAcMBvAGzAaoBoAGWAYwBggF4AW0BYwFYAUwBQQE2ASwBIwEbARQBDgEJAQUBAQD+APsA+QD3APYA9gD3APkA/AD/AQIBBgEKAQ0BEAETARYBGAEbAR0BIAEiASUBJwEqASwBLgExATQBNwE7AT8BRAFKAVABVwFeAWYBbgF1AX4BhgGOAZcBnwGnAbABtwG/AcYBzgHVAdwB5AHsAfMB+wICAgcCDAIQAhMCFQIYAhwCIQInAjACOgJFAlECXQJpAnUCgAKLApYCogKuAroCxwLTAt4C6QLzAvwDBgMRAx0DLQNAA1UDawOCA5YDpwOzA7oDuwO2A64DowOYA40DgwN7A3YDcgNxA3MDdwN+A4kDlwOpA74D1APqA/4EDQQYBGcEaARkBF8EWARTBFEEUgRWBF0EZQRvBHkEhASQBJ8EsATEBNwE9QUPBSkFQQVWBWkFdwWEBY0FlQWaBZ0FnQWZBZMFiwWCBXsFeQV+BYwFowXBBeQGCAYpBkMGUgZXBlIGRwY5BiwGJgYoBjQGSQZkBoQGpAbABtgG6gb1BvoG+gb2Bu4G4QbRBrsGoAaBBl8GPAYcBgAF6wXgBd0F4wXwBgAGEwYlBjQGPwZIBk0GUAZTBlYGXAZkBm4GewaKBpoGrAa9Bs8G4Qb0BwYHGQcrBz4HUQdjB3QHhAeUB6MHsgfEB9gH8AgNCC0IUQh2CJkIuAjQCN8I5AjhCNgIywjACLoIvAjGCNgI8AkKCSAJLwk0CS0JGgj9CNgIsAiHCGAIPQgeCAQH7QfaB8oHwAe7B78HywfiCAEIKQhVCIIIrAjRCO4JBQkYCSgJOglSCXEJmgnLCgIKPAp0CqgK1Ar2CxALIgstCzQLOQs7CzoLNQsqCxcK/QrbCrQKjApmCkgKMwosCjIKRgpjCokKswrfCwsLOAtlC5MLwgv0DCYMVwyDDKYMvAzCDLYMmAxsDDML9Qu2C3wLSgslCw0LAgsACwQLCgsPCw4LBgr2CuAKxQqpCpAKfApwCm4KdAqACpAKoAqrCq4KqgqdCosKdgpkCloKWgpoCoQKqwrYCwgLMwtTC2ULZQtTCy8K/Aq/CnsKNgnzCbUJfwlRCSoJCQjsCNAIswiTCG4IRQgYB+kHuAeJB10HNgcTBvUG2wbFBrAGnAaJBncGZQZVBkcGPAY1Bi8GLQYsBi0GMAY0BjkGQAZKBlQGXwZqBnIGeAZ5BncGcQZoBl4GVgZPBkoGSAZIBkgGRgZCBjoGLgYeBgwF+QXmBdMFwgWxBaIFkwWEBXUFZAVUBUMFMQUfBQ0E+gTnBNIEvgSpBJUEgwRzBGQEVwRKBDsEKgQXBAID6wPVA8MDtQOtA6sDrgOzA7YDtQOuA6ADigNvA1EDMwMZAwEC7QLaAsUCqwKKAl8CKwHvAa4BbAErAO4AtQCBAFAAH//t/7f/ff8//wD+wf6E/kr+Fv3n/bz9lP1v/Un9Jfz//Nr8tPyO/Gb8P/wW++v7vvuR+2L7NPsH+tz6s/qN+mn6R/om+gb55/nI+az5kPl3+WD5S/k2+SH5Dfj4+OT40vjD+Lj4s/ix+LP4tfi0+K34nPiC+F34Lvf698T3j/dg9zj3GfcD9vL25fbX9sf2s/aa9n32XfY+9iL2CfX29ej13vXU9cn1uvWn9Y/1cvVT9TT1FvT79OX00vTC9LL0ovSP9Hr0Y/RM9DX0IPQP9ADz8/Pm89fzw/Or84/zcPNR8zPzGvMF8vPy4vLQ8rnym/J18kryHPHx8czxtPGo8ajxsvHB8c/x1vHV8cnxtfGd8YbxdPFq8Wjxa/Fv8WzxXfE78QbwvfBl8AXvpe9O7wbu0+647rPuwe7d7wLvKu9O72vvfe+D73zva+9S7zTvF+797uru3+7c7t/u5O7m7uPu1e677pfuae417f/ty+2b7W/tRu0f7Pbsy+yc7GzsPOwR6/Dr2evP69Dr2Ovi6+nr6Ovb68Lrn+t160rrIusA6ubq1OrG6rzqseqk6pXqhup56nDqb+p26oXqmeqx6sjq2+rn6u7q8Orv6u7q8Or06vvrA+sJ6wnrAury6trqu+qa6nnqXupK6kHqQepJ6lbqZep06n7qg+qC6nrqbepb6kbqL+oW6fzp4enF6anpjul16V3pSOk26SfpHOkV6RLpEukU6RjpHekj6SjpLOkv6THpMuky6TPpNek36TzpQelG6UzpUOlT6VTpUulP6UrpRulB6T7pOuk36TPpLekk6RfpB+jz6N7oyOiz6KHolOiM6InoieiL6I3ojuiK6IPoduhl6FHoPOgo6BfoCegB5/3n/Of95//n/uf55/Dn4ufP57rno+eN53nnaudg51rnWudc52HnZudq52znbedt52znbedw53XnfueL55rnque758vn2efl5+7n9+f96AToC+gT6B3oJ+gy6D7oSehU6F3oZOhq6G/oc+h26HnofeiB6IbojeiV6J7op+iw6LfovejA6MDovei46LLoq+il6KDoneib6Jzonuih6KborOiy6LnowejJ6NHo2ejg6OXo6Ojo6Ofo5Ojg6N7o3ujg6Ofo8ej+6Q3pHuku6T3pSulV6V/pZ+lv6XfpgOmL6ZfppOmy6cDpzenY6eLp6+ny6fjp/uoG6g/qGuon6jbqSOpa6m3qgOqS6qLqseq/6szq2Orl6vLq/+sO6x3rLOs760vrWutp63jriOuZ66rrvevP6+Lr9ewG7BbsJOwy7D/sS+xZ7GfsduyG7Jfsqey77M3s4Oz07QjtHO0y7UntYe167ZLtqu3A7dbt6u397g/uIu407kfuW+5w7oXumu6v7sPu1+7q7v7vEe8k7zfvS+9e73HvhO+W76nvvO/Q7+Pv9vAJ8BvwKvA38ELwS/BT8FvwZPBw8H7wj/Ci8LjwzvDm8P3xFfEu8UfxYvGA8Z/xvvHc8fbyDPIb8iLyI/If8hjyEfIN8gzyEfIa8ifyN/JG8lPyXvJm8m3ycvJ48n/yifKU8qDyrfK48sDyxvLJ8snyyfLK8s7y1PLe8uzy/fMP8yDzMvNB807zWfNj82vzdPN884XzjvOX86DzqvOz87zzxfPO89nz5PPw8/30C/Qb9Cz0P/RT9Gf0ffSS9Kf0uvTL9Nn05fTv9Pf0//UJ9RX1JvU79VP1b/WL9aX1vfXP9d315/Xu9fT1+/YE9hD2HfYp9jP2OfY49jL2J/Yc9hX2F/Yl9kH2a/ag9tz3GvdU94X3rPfI99z36/f5+Az4JPhE+Gn4kfi4+Nn49PkG+RH5F/kc+ST5MflE+V75fvmg+cL54Pn6+g36HPon+jD6OfpF+lT6Z/p9+pb6sfrN+uz7C/st+1D7dPua+8H75/wL/C78T/xs/If8oPy4/M785fz7/RL9KP0+/VT9av2B/Zj9sP3K/ef+Bv4o/kr+bf6O/q3+yf7h/vf/C/8f/zf/VP96/6j/3wAeAGEApgDoASUBWQGDAaQBvQHQAeEB8gIFAhwCOAJYAnsCoALHAvADGQNEA3IDowPXBA4ERQR7BK0E2AT4BQ0FFAUNBPkE2QSwBIAETQQYA+MDsgOEA1sDNgMVAvcC2wLAAqUCiwJyAlwCSAI6AjECLgIxAjkCRAJPAlkCXgJdAlUCRgIvAhMB8wHQAawBiQFnAUgBLAESAPwA6QDbANAAyQDGAMcAzADTAN0A6QD1AQIBDwEcASkBNAE/AUoBUgFaAWEBZgFrAW4BcAFxAXIBcgFxAXEBcAFvAW4BbQFsAWwBawFrAWsBawFrAWwBbQFuAXABcwF2AXsBfwGEAYgBjAGQAZIBlAGVAZUBlAGUAZMBkwGUAZYBmAGaAZ0BnwGgAZ8BnQGZAZMBiwGBAXYBawFgAVQBSAE9ATIBJwEcAREBBwD8APIA6QDiANsA1gDTANEAzwDPAM4AzgDOAM4AzQDNAM4AzwDRANMA1gDaAN4A4gDmAOkA7QDvAPIA9AD2APgA+wD9AP8BAgEFAQgBDAERARYBGwEhASgBLgE1AT0BRAFMAVQBXAFkAW0BdQF+AYcBjwGYAaABqQGxAboBwgHLAdQB3AHiAegB7QHxAfMB9gH5Af0CAgIKAhMCHwIrAjkCRwJVAmMCcQKAAo8CnwKwAsEC0gLhAvAC/AMGAw4DFgMeAycDMwNCA1QDaAN9A5ADoQOtA7UDuAO2A7ADqQOiA5oDlAOQA40DjQOOA5EDmAOiA7ADwwPZA/MEDgQpBEEEVARhBNYE2wTZBNQEzQTHBMQExATHBM0E1ATdBOUE7gT4BQIFEAUgBTMFSAVfBXcFjwWlBbgFyQXXBeIF6wXwBfIF8AXrBeIF1QXIBbsFsgWvBbMFwAXWBfIGEgYzBlEGagZ7BoYGiwaLBosGjAaRBpsGqga9BtQG7AcFBxwHMQdEB1MHXgdkB2QHXAdMBzIHDwblBrYGhgZZBjMGFgYEBf0GAAYLBhsGLAY9BkwGWAZhBmgGbwZ3BoEGjQacBqwGvQbOBt0G6wb3BwMHDwccBysHPQdRB2cHfweXB68HxQfbB/AIBQgaCDAISQhjCH4ImQixCMUI0gjWCNIIxgi2CKMIkwiICIYIjQieCLUI0AjqCP8JDAkMCQII7AjOCKoIhQhfCDsIGgf7B94HwgepB5MHggd4B3oHhweiB8gH9ggpCFsIiQivCMwI4QjxCQEJFwk1CWEJmQncCicKdAq8CvoLKwtLC10LYgtdC1MLRws7CzELJwscCw0K+QrfCr8Kmwp1ClIKNQohChcKGQomCjwKWgp+CqcK0wsCCzQLaQufC9UMBwwzDFUMaQxuDGIMRgwcC+cLqwtvCzYLBgrfCsUKtgqwCrAKswq1CrMKqgqaCoQKagpOCjcKJQoeCiIKMApHCmEKewqQCpsKmwqOCnkKXwpGCjUKMAo8CloKhgq9CvYLLAtVC20LbgtYCy0K8QqpClwKDwnJCYsJVwktCQsI7AjQCLIIkAhpCD0IDQfbB6kHeAdLByMHAAbiBskGswagBo8GgAZzBmgGXwZYBlMGTwZNBksGSQZHBkUGRAZGBkkGTwZYBmMGbQZ2BnoGegZzBmcGVgZDBjEGIgYYBhQGFgYcBiUGLQYyBjMGLQYiBhMGAAXtBdoFyAW4BaoFnQWQBYEFcAVeBUkFMwUcBQUE7gTZBMYEtASkBJUEhwR4BGgEVgRBBCkEDgPxA9MDtwOfA40DggN/A4IDiQORA5cDlwOQA38DZwNJAykDCALrAtECvAKpApUCfgJgAjkCCAHQAZEBUAEOANEAmABkADQAB//a/6v/ef9C/wj+zP6Q/lT+HP3p/bn9jv1n/UP9IPz+/Nz8ufyV/G/8R/wc+/D7w/uV+2b7OfsN+uP6u/qV+nD6Tfoq+gf55fnF+aX5iPls+VL5Ofkg+Qj48PjZ+MP4sfij+Jz4mvie+KX4rPiu+Kn4mfh8+FP4H/fl96j3cPc+9xf2+/bp9t721fbM9r72qfaO9m32SfYn9gj18PXf9dX1zvXH9b71r/WZ9Xz1WvU29RL08fTW9MD0r/Sh9JT0hfRz9F70R/Qu9Bf0A/Py8+Tz1/PL87vzpvOM827zTfMt8xDy+PLm8tjyzPK+8qzykvJw8kfyG/Hx8c/xt/Gt8bDxvPHN8d3x5vHl8dnxxPGp8Y3xdfFl8V3xWvFZ8VLxQPEc8OTwmPA979jvc+8X7svulu557nTuhe6m7tDu++8j70DvUu9X70/vPu8m7wzu9O7h7tXu0O7S7tfu3u7g7tzuzu627pPuaO437gLtzu2a7WjtN+0H7Nfspux27EnsIOv/6+jr3OvZ697r5evr6+nr3OvE66DrdOtE6xXq6+rJ6rHqoeqX6pDqiOp/6nLqY+pV6krqRepI6lPqZep86pXqrerC6tLq3url6urq7erv6vDq7+rr6uPq1erC6qrqj+pz6lrqROo06irqJuoo6izqMuo56j7qQupF6kbqRupF6kLqPOo06ijqGOoE6ezp0emy6ZPpc+lU6TbpHOkF6PPo5ejc6Njo2Ojb6ODo5ujt6PPo+Oj96QHpBukM6RPpHOkm6THpOulC6UbpR+lF6UHpPOk36TPpMekx6THpMekv6SjpHOkL6PXo2+jA6KfokOh/6HTob+hv6HHoc+hz6HDoaehd6E3oOugm6BPoAefx5+Tn2OfO58Pnt+er55znjed8523nXudS50nnQ+dA50DnQedD50bnSedL503nTudP51HnVOdZ51/naOdy537ni+eZ56bns+e+58jn0OfX59zn4Ofi5+Tn5ufp5+zn8Of15/voAugL6BToHegm6DDoOehD6E3oV+hg6Gnoceh46Hzofeh86Hjoc+hr6GPoW+hV6FHoTuhN6E7oUOhT6FboWuhf6GToa+h06H3oh+iS6Jvoo+io6Kroquio6KXoouih6KPoqeiy6L7ozOjc6Ozo++kJ6RXpIeks6TfpQ+lQ6V7pbul/6ZDpoOmv6bvpxenN6dLp1+nc6eLp6+n26gXqFuop6j7qUupl6nXqhOqQ6prqo+qs6rXqwOrN6tzq7Or+6xHrJOs360rrXOtu64Drkeui67Prw+vT6+Pr8+wC7BHsIOww7EDsUexh7HLshOyW7Kjsu+zP7OPs+e0Q7SjtQO1Y7XDthu2c7bDtxe3Z7e7uBO4b7jLuSe5g7nbuiu6c7q3uve7N7t7u8O8F7xrvMe9J72Dvd++M76Dvsu/D79Tv5O/08APwEvAh8C/wPfBK8FfwZfBz8ILwkvCi8LPww/DS8OHw8fEC8RbxLvFJ8Wnxi/Gt8c/x7PID8hPyGvIb8hfyEfIL8gjyCfIP8hjyJfIz8kHyTPJW8l7yZPJq8nHyefKD8o7ymfKj8qzys/K38rryvPK/8sPyy/LW8uTy9PMG8xfzKPM380TzTvNX813zY/No823zcvN383zzgvOI85DzmfOk87DzvvPN897z7/QB9BP0JvQ59Ez0YPRz9IX0lfSk9LD0uvTC9Mr00/Tf9PD1BfUf9T31XvV+9Zv1s/XG9dL12vXf9eL15vXs9fT1/fYE9gf2BvX+9fH14/XW9dH12PXv9hf2T/aT9t33Jvdo9573xPfa9+P35Pfh99/34vft9/74Ffgt+EX4Wfhp+HX4gPiL+Jv4svjQ+PX5IPlO+Xz5p/nN+e36CPof+jP6R/pb+nL6i/qn+sb65vsH+yr7Tfty+5f7vfvh/AX8JfxC/Fv8cPyA/I78mvym/LP8w/zW/O39Bv0h/T79W/15/Zf9tf3T/fL+Ef4x/lD+bv6K/qT+u/7P/uH+9P8I/yD/Pf9i/4//xP//AD8AgADBAP4BNQFlAY0BrwHKAeEB9gILAiICPAJZAnoCnwLHAvMDIgNTA4YDugPvBCMEVwSIBLYE4AUDBR8FMgU6BTYFJwUKBOIErwR0BDQD8QOvA3EDOAMGAtsCtgKXAnoCYAJIAjICHQIMAf8B+AH2AfkCAAIIAg4CEAINAgEB7gHSAbEBjAFlAT4BGQD3ANkAvwCoAJUAhQB4AG0AZgBiAGEAZABrAHUAgQCOAJwAqgC4AMQA0ADbAOQA7QD1AP0BBAEKAQ8BEwEXARoBHAEeASABIQEjASUBJwEpASsBLQEvATEBMwE3ATsBPwFFAUsBUQFWAVsBXwFiAWMBZAFkAWQBZAFlAWcBaQFrAW4BcAFyAXQBdAF1AXQBcwFxAW4BawFmAWEBWgFSAUgBPgE0ASkBHgETAQkA/wD1AOwA4gDZANEAyADBALsAtgCzALEAsACxALIAswC0ALUAtgC2ALcAuAC5ALsAvgDBAMUAygDOANIA1gDZANsA3QDeAOAA4gDkAOYA6QDsAPAA9AD5AP0BAgEHAQsBEAEVARoBHwEkASoBMQE4AUABSQFSAVwBZgFwAXoBgwGMAZYBngGnAbABtwG/AcUBywHQAdQB2QHeAeMB6gHyAfwCBwIUAiICMAJAAlACYQJ0AogCnQKzAsoC4AL0AwYDFQMhAysDMgM5A0EDSQNUA2EDcAN/A44DmwOlA60DsgO0A7QDtAOzA7MDsgOxA7EDsQOyA7QDuwPGA9cD7gQMBC4EUwR4BJkEtQTKBU4FVgVWBVAFSAVABToFOAU7BUAFSAVRBVoFYgVpBXEFeQWCBY0FmgWoBbcFxQXSBd0F5gXsBfEF9AX3BfcF9wX0Be8F5wXdBdIFxwW/BboFvAXFBdUF7AYIBicGRwZmBoEGmQasBrsGxQbMBtEG1QbaBt8G5wbyBwAHEgcmBzwHUAdiB2wHbQdkB04HLgcDBtQGogZzBksGLQYbBhQGGAYkBjYGSwZgBnUGiQacBq8GwwbYBu8HBwcfBzYHSwdbB2gHcQd2B3oHfQeCB4oHlQejB7MHxQfWB+cH9ggDCA4IGggmCDQIRAhVCGgIegiJCJMIlgiTCIgIeAhlCFMIRghACEMIUAhlCIAInQi3CMsI1gjXCM0IuwijCIcIawhQCDUIHAgDB+kHzQewB5UHfQdtB2cHbweEB6YH0ggDCDUIYQiGCKEItQjECNQI6QkKCTgJdAm8CgwKWwqlCuMLEAsqCzMLLAscCwcK8wriCtcK0QrOCswKxwq9Cq0Klgp7Cl8KRQovCiEKHAohCi4KRApgCoAKpQrLCvQLHQtIC3ALlwu4C9IL4gvmC94LyQupC4ALUgshCvIKyAqmCo0KfQp2CnQKdgp3CnYKcApkClMKPQonChMKBQn/CgMKDwojCjoKUAphCmoKaApbCkgKMQodChIKFQonCksKfAq2CvILJwtOC2ELXgtDCxQK1QqMCj8J9gmzCXkJSAkeCPoI1gixCIcIWAgkB+0HtAd9B0oHHQb3BtgGwAauBqAGlgaNBocGgQZ9BnoGeQZ4BngGdwZ1BnEGawZjBlsGVAZPBk4GUAZWBl8GZwZvBnIGbwZnBlgGRQYwBh0GDgYEBgIGBgYPBhkGJAYrBiwGJwYbBgsF9gXhBc0FugWqBZwFkAWEBXcFaAVXBUMFLgUXBQEE7ATYBMYEtgSmBJgEiQR4BGQETgQzBBUD9QPTA7IDkgN3A2EDUwNKA0YDRgNHA0UDPgMxAx4DBALlAsMCogKDAmcCTQI2Ah4CBAHlAb8BkwFgASgA7gC1AH4ASwAc//H/x/+f/3T/R/8W/uL+q/5z/jz+B/3U/ab9e/1U/TD9Dfzr/Mn8pvyC/Fv8NPwL++H7t/uN+2T7PPsV+u/6yvql+oD6W/o2+hH57fnL+av5jvlz+Vr5Q/kr+RT4/Pjl+M/4vPiu+KX4o/im+Kz4sfix+Kj4lPhy+EL4CPfH94X3SPcU9uz20fbB9rj2s/as9qD2jfZy9lH2LvYL9e311vXG9b31tvWw9ab1lfV99V71OvUU9PD00fS59Kj0nPST9Iv0f/Rw9Fv0QvQo9A7z9vPi89Lzw/O286bzk/N882HzQ/Mn8w3y+PLp8t3y0/LH8rbynfJ88lTyKfH+8dnxv/Gw8a3xtPG/8cvx0fHP8cPxr/GV8XvxZPFU8UrxR/FE8T3xKvEI8NPwjPA279fvd+8e7tXuoe6E7n7ujO6p7s/u9+8b7zbvRu9L70XvNu8i7wvu9e7j7tTuyu7E7sDuuu6y7qXuke517lLuKe377crtmO1l7TPtAuzT7KbseuxT7DHsFewB6/Tr7+vv6/Hr8evs697rx+um633rT+sh6vbq0uq26qLqluqO6ojqgOp16mbqVepD6jPqKOok6ijqNOpG6lzqc+qK6p7qruq56sDqw+rC6r3qtuqt6qHqlOqH6njqa+pe6lLqSOo+6jTqKuoe6hPqBun76fLp7Onr6e3p9On96gbqD+oV6hbqEuoJ6frp6OnS6brpoemH6W3pVOk66SLpC+j36Obo2ejP6MroyOjI6Mvoz+jT6Nno4ejq6PbpBOkU6STpNOlC6UvpUOlR6U3pRek96TXpLukp6SfpJekj6R7pFekH6PPo3OjD6Knokuh+6HDoZ+hj6GHoYehf6FvoU+hI6DnoKOgW6AXn9Ofl59bnyOe656vnmueI53bnZedU50bnO+c05y/nLect5y3nLucu5y3nLOcq5yrnKucs5zDnNec850XnTedX52Dnaedy53vng+eL55LnmOec557nnuec55nnleeS54/njueQ55bnnueq57jnyOfY5+jn+OgG6BPoHugn6C7oM+g26DboNOgx6CvoJege6BjoEugP6A3oDegO6BDoE+gW6BroHegi6CjoL+g46EPoT+hc6GjodOh86ILohOiD6IHofeh66Hjoeeh96IToj+ib6KrouOjH6Nbo5Ojy6QDpD+kf6THpQ+lW6WrpfOmN6Zvppumv6bXpuum/6cTpzenY6ebp9+oL6h/qNOpH6lfqZepv6nfqfeqC6onqkeqc6qnquurN6uLq9+sN6yLrNutI61rraut664nrl+um67brxuvW6+fr+ewL7B7sMOxC7FTsZux57IzsoOy17Mvs4uz77RPtK+1C7VjtbO1/7ZLtpe257c/t5+3/7hnuMu5J7l/uce6A7o3ume6l7rPuw+7X7u7vCO8k70DvXO9174zvoO+z78Pv0+/j7/PwA/AU8CXwN/BI8FjwafB48Ibwk/Cd8KbwrfCx8LXwuPC98MXw0fDk8PzxGvE88WDxgvGh8bvxz/Hb8ePx5vHn8ejx6vHv8ffyAvIN8hryJfIw8jryQ/JL8lTyXvJp8nXygfKL8pXynfKj8qjyrPKy8rjywfLL8tny5/L38wbzFfMi8y3zN/M+80TzSfNN81DzVPNX81rzX/Nk82zzdvOB85Dzn/Ox88Lz1PPm8/f0CPQY9Cn0OfRJ9Fn0aPR29IP0j/Sb9Kj0t/TK9OH0/fUd9UD1Y/WF9aH1uPXH9c/10PXN9cn1xPXB9b71vfW69bX1rfWh9ZT1iPWC9Yb1mfW+9fT2OvaL9uD3Mfd497D31Pfm9+f33PfL97n3q/el96f3sPe/99H34/f1+Af4Gfgu+Ef4Z/iO+Lz48Pko+WD5mPnM+fz6JvpM+m76jvqs+sr66PsG+yT7Q/ti+4H7oPu++9z7+fwT/Cr8PfxL/FT8Wvxc/F78Yfxm/G/8ffyQ/Kf8wvzg/P/9IP1C/WT9h/2r/c/98v4V/jb+VP5u/oX+mP6p/rf+x/7Y/u7/Cf8r/1P/gv+3/+8AKQBkAJ0A0wEEATEBWQF8AZsBtwHRAesCBgIlAkgCcAKfAtIDCwNGA4EDvAP0BCgEWASEBKsE0ATyBRAFKgU+BUgFRwU3BRgE6ASqBGAEDwO8A2sDIgLjAq8ChwJnAk8COgInAhQCAAHsAdoBywHBAbsBugG8Ab8BvwG7Aa8BmwF+AVsBMgEGANsAsgCMAGwAUAA5ACYAFwALAAH/+//4//j//QAFABAAHgAtAD0ATABaAGcAcgB7AIQAjACUAJwAowCrALIAuAC9AMIAxwDLAM8A1ADZAN4A4wDoAOwA8QD1APkA/QECAQgBDwEXASABKAEwATYBOgE8ATwBOwE5ATcBNgE3ATkBPAFBAUYBSgFMAU0BTAFKAUYBQQE8ATgBMwEvASsBJwEhARsBEwELAQEA+ADuAOUA3ADVAM4AyADCALwAtgCwAKsApwCjAKAAnwCfAKAAoQCjAKQApgCoAKoArACuALEAtQC5AL0AwgDGAMoAzQDQANEA0gDTANMA1ADVANcA2QDbAN4A4QDlAOgA6wDtAPAA8gD1APgA+wD/AQUBCwETARwBJgExAT0BSAFTAV4BaAFwAXkBgAGHAY0BlAGaAaEBqAGvAbYBvgHHAdEB3AHoAfUCAwISAiICMwJGAlkCbwKGAp8CuQLTAu4DBwMfAzQDRgNVA2IDbAN2A38DiAOSA50DqAOyA7wDxAPLA9AD1APYA9sD3gPhA+MD4wPiA98D2wPYA9cD2gPlA/gEFQQ7BGcEmQTKBPgFHgU7BaYFsQWyBasFoQWYBZEFjwWSBZkFowWtBbYFvQXCBcUFxwXJBcoFzQXQBdIF0wXSBc8FygXCBbsFswWtBakFpwWnBacFpgWkBZ8FlwWPBYUFfgV7BX4FiQWbBbYF1gX7BiEGRgZnBoEGkwacBp8GmwaUBowGhgaFBosGmAasBsQG3gb3BwoHFQcUBwgG8AbOBqcGfgZYBjgGIgYXBhcGIwY3BlIGcgaVBroG4AcIBy8HWAeAB6gHzgfxCA8IJwg4CEQISghLCEoISAhGCEUIRQhFCEQIQgg8CDQIKAgbCAwH/wf1B/AH7wf0B/4ICQgVCB4IJAgjCB4IFQgJB/8H+Af3B/0ICwgfCDcITwhkCHQIfAh9CHcIawhdCE8IQQg2CC0IJAgZCAsH+AfhB8gHrgeYB4kHhQeMB58HvAffCAQIKAhGCF4IcAh/CJAIpgjFCPAJJwlnCa0J8woyCmUKiAqaCpwKkQp/CmoKWQpOCksKUQpcCmoKdwqACoIKfQpzCmUKVQpICkAKPQpBCkoKWQprCn4KkQqjCrUKxQrVCuUK8wsBCw0LFQsYCxQLCgr6CuMKxwqpCooKbQpUCkAKMgoqCiUKJAojCiAKHAoUCgkJ/AnvCeUJ3wnfCeUJ8An/Cg4KGgohCiAKFwoHCfQJ4QnUCdMJ3wn8CigKXwqbCtYLCQssCzsLNQsaCuwKsQpuCikJ6AmsCXcJSQkeCPQIyQiYCGAIIwfiB54HXQcgBusGwAagBosGgAZ8Bn4GhAaNBpYGnwaoBq8GtQa5BroGtwaxBqcGmQaJBngGZwZZBk8GSQZHBkkGTAZQBlEGTgZHBj0GLwYhBhUGDAYHBggGDQYVBh4GJAYmBiEGFwYGBfEF2gXCBasFlwWGBXgFawVgBVMFRgU2BSQFEQT9BOkE1ATBBK4EnASKBHcEZAROBDcEHgQDA+YDxwOoA4oDbANRAzgDIwMQAwAC8QLjAtMCwAKqAo8CcQJQAiwCBwHjAb8BmwF4AVUBMQEKAOEAtQCHAFgAKf/7/87/pf99/1j/M/8N/ub+vf6S/mX+N/4I/dv9r/2G/V/9O/0Z/Pf81vy1/JP8b/xK/CT7/fvX+7H7jPtp+0f7J/sI+un6yfqo+ob6Yvo++hn59fnT+bX5mvmD+W/5XflM+Tv5KPkU+QD47fjc+M74xfi++Lj4sPik+I74bvhC+Ar3yveG90P3BvbU9q/2l/aL9of2hvaD9nv2a/ZS9jP2EPXt9c31svWe9Y71gvV19Wb1UPU19RX08vTP9LD0l/SF9Hr0dfRy9G30ZPRV9ED0JvQJ8+vz0fO686jzmvOO84LzdfNl81LzPfMo8xXzBPL38u3y4vLW8sTyq/KK8mPyN/IK8eLxwfGq8Z7xmfGb8Z3xnfGY8YzxevFl8U/xO/Er8SHxGfES8Qbw8fDP8J/wYfAX78fvd+8u7vLuxu6u7qfuse7G7uHu/+8Z7y7vOu8+7zrvLu8e7wnu8u7b7sPurO6V7n7uZu5N7jPuFe307dDtqO187U/tIOzw7MHslOxr7EbsKOwQ6//r9evx6/Lr9ev36/fr8Ovh68rrquuD61jrK+sA6tjqt+qe6orqe+pw6mXqWOpJ6jjqJOoP6fzp7eni6d7p4Onp6fbqB+oZ6irqOupG6k7qUepQ6kzqRuo/6jrqOOo66kDqSupW6mHqaupt6mnqXOpG6inqCOnm6cbprOma6Y/pjemP6ZXpm+mg6aLpoOmc6ZbpkemN6YzpjemO6Y/pjemI6X3pbulb6UTpLekW6QLo8ejk6Nro1OjR6NHo1Oja6OTo8ekA6RLpJOk16ULpS+lO6UvpRek76S/pI+kZ6RHpC+kF6P/o9+jt6N7ozei66KbolOiE6Hfobehn6GLoXehW6E7oQug06CToFOgE5/Xn6efe59Pnyee956/nn+eM53jnY+dP5z7nMOcm5yDnHOcZ5xjnFucT5w/nCucG5wPnAecD5wfnDucW5yDnKuc05zznROdK50/nU+dW51fnWOdX51TnUOdK50PnO+c15zHnL+cy5znnRedU52fne+eQ56TntufH59Tn3ufm5+rn7eft5+3n6ufn5+Pn4Ofc59rn2OfZ59rn3efh5+bn6+fw5/bn/OgC6AnoEugb6CfoM+g/6EvoVuhf6GXoaOho6GfoZOhh6F7oXuhg6GTobOh26IPokeig6K/ov+jQ6ODo8ekD6RbpKek96U/pYelx6X/pi+mU6Zvpoemn6a7ptunB6c/p3+nw6gPqFuon6jfqROpO6lfqXupl6mzqdeqA6o3qneqv6sPq1+rs6wDrE+sm6zbrRutW62Trc+uC65Lro+u068br2evs6//sEuwl7DfsSuxd7HDsheyb7LPsy+zk7P3tFe0r7T/tUu1j7XTthe2Y7a3txO3d7ffuEe4q7kDuU+5i7m7ueO6C7o7unO6t7sLu2+717xLvLu9I72HveO+N76Dvs+/F79fv6e/88A7wIfAy8EPwUvBg8GzwdvB/8IXwifCK8IrwifCJ8IvwkPCa8KvwwfDc8PzxHfE+8V3xePGO8Z/xq/G08brxv/HF8czx1PHd8efx8vH+8gryFvIj8jDyPfJL8lfyY/Ju8nfyfvKF8ovykfKY8qDyqfK08sHyzvLc8uny9vMB8wzzFfMe8yXzLPMx8zbzOvM980HzRPNK81DzWvNm83TzhfOX86nzu/PM89vz6vP49AX0E/Qi9DL0RPRW9Gr0fvST9Kn0wfTb9Pj1GPU59Vv1fPWZ9bL1xPXO9dL1z/XI9b/1tPWq9aH1mPWP9YX1evVv9Wf1Y/Vn9Xj1mPXJ9gn2V/as9wP3VPeY98v36/f29/D33vfE96n3kveC93z3gPeM95/3tvfR9+34DPgt+FH4e/iq+N35FvlS+Y/5y/oG+j76cfqf+sn67vsP+yz7Rvte+3T7ifue+7L7xfvY++n7+fwG/A/8FvwZ/Bn8GPwY/Bn8Hvwn/DX8R/xc/HX8j/yq/Mb84v0A/SD9Q/1o/Y/9tv3d/gL+I/4+/lX+Zv50/oH+jv6e/rL+y/7q/w7/Nv9i/4//vv/uAB4ATQB8AKsA1wECASoBTwFxAZEBsgHVAfwCKQJeApoC3AMiA2oDrwPwBCkEWwSFBKgExgThBPoFEgUlBTIFNgUrBREE5ASmBFkEAgOoA1AC/wK7AoYCXwJEAjICJQIYAgoB+AHiAcsBtAGfAY8BgwF8AXgBdAFtAWABTAExAQ0A5AC4AIsAXwA4ABX/9//f/8z/vP+v/6b/oP+d/5//pP+t/7r/yf/Z/+n/+AAGABIAHAAkACwAMwA7AEMASwBUAFwAYwBqAHAAdQB7AIAAhwCNAJUAnQClAKwAsgC3ALsAvwDDAMgAzgDVAN0A5gDuAPUA+gD+AP8A/gD9APsA+wD8AP4BAgEHAQwBEQEUARUBFAERAQwBCAEDAP8A/AD5APcA9QDyAO0A5wDfANYAzQDEALwAtQCvAKsAqACmAKQAogCfAJ0AmgCXAJQAkgCRAJEAkQCSAJQAlgCYAJsAngCiAKYAqgCvALMAuAC8AMAAwwDFAMYAxwDHAMcAxwDHAMgAyADJAMoAygDLAMwAzADNAM8A0QDUANcA3ADiAOkA8gD8AQcBEgEfASsBNwFBAUsBVAFbAWEBZQFqAW4BcgF3AX4BhQGPAZoBpwG2AcYB2AHsAgACFgItAkQCXQJ2ApECrQLJAuYDBAMhAzwDVgNuA4QDlwOnA7YDxAPRA90D6APzA/0EBQQLBBAEEgQUBBUEFwQZBBwEHwQhBCIEIAQbBBMECAP+A/YD9QP9BBAEMARbBJAEywUGBT0FbAWPBcIFzgXPBckFwAW3BbEFsAW0BbwFxwXSBdsF4gXlBeUF4wXgBd0F2gXXBdMFzQXFBbkFqgWYBYQFcQVgBVMFSQVFBUQFRAVEBUMFPgU2BSsFHgUTBQsFCgUSBSIFOwVbBX8FpAXHBeMF+AYEBggGBAX9BfQF7gXuBfQGAwYZBjUGUwZwBogGmQagBp0GkAZ7BmEGRwYuBhsGEAYPBhkGLQZLBnIGoAbUBwwHSAeFB8QIAQg8CHMIowjNCPAJCgkcCSgJLgkuCSwJJgkeCRMJBAjxCNkIugiXCG4IQwgWB+wHxwepB5QHiAeHB44HmwerB7wHygfWB9wH3wfeB90H3AfdB+IH6wf3CAUIEggdCCQIJwglCCEIGwgVCBMIFAgYCCAIKAguCC8IKwggCA8H+QfiB80HvQe0B7MHuwfJB9oH7ggACBEIIAgvCEAIVwh1CJwIzAkCCTsJcwmkCcsJ5QnyCfIJ6gneCdEJygnKCdMJ4wn6ChQKLQpCClIKXApgCl8KXQpaCloKXQpjCmsKdAp7CoAKgQp9CncKbgpkClsKUwpOCksKSwpLCksKSQpFCj0KMwomChcKCAn5CewJ4AnXCc8JxwnBCboJsgmrCaMJngmbCZ0JogmsCbkJxwnVCd4J4gndCdEJvgmmCY8JfAlzCXgJjAmvCeEKHQpbCpcKygrtCv4K+wrlCr8KjQpWCh0J5gm0CYYJXAkzCQgI2AihCGIIHAfRB4QHOQb0BrkGigZpBlUGTgZTBmAGcwaKBqIGugbOBuAG7Ab0BvUG8QbnBtcGwwasBpQGfAZnBlQGRQY7BjQGLwYsBikGJgYiBh0GGAYUBhIGEwYXBhwGIwYpBi0GLQYnBhwGCgX0BdsFwAWmBY4FeQVmBVYFSAU7BS8FIQUSBQIE8QTeBMoEtgShBIsEdARbBEIEJwQMA/AD1QO6A58DhgNsA1QDOwMhAwgC7QLSArcCmwJ/AmICRAIlAgQB4QG8AZQBagE9AQ8A3wCvAH4ATQAe//D/xP+a/3P/Tv8r/wv+6/7M/q3+jf5s/kn+Jf3//dr9tP2Q/W39Tf0u/RH89fza/L78ofyC/GL8QPwc+/j70/uu+4v7avtL+y/7Ffr7+uL6yPqs+o36bPpJ+iX6Afnf+cH5pvmR+X/5cflk+Vf5Svk6+Sn5FfkA+Ov41vjB+Kr4kfhz+E74IPfr96/3b/cu9vH2vPaT9nb2ZvZh9mL2ZfZm9mL2VPY+9iD1/PXX9bP1kvV19Vv1RPUu9RX0+vTb9Lr0mfR69GD0TPRA9Dr0OPQ39DT0K/Qc9Afz7PPO87DzlfN/827zY/Nb81XzT/NH8z3zMPMi8xTzB/L78vDy5fLY8sbyrvKO8mnyP/IT8ejxwfGi8YnxefFt8WbxX/FX8UzxP/Ew8R/xD/EA8PLw5PDS8LzwnvB38EbwDe/P74/vUu8c7vDu0O697rbuue7D7tHu4O7t7vju/u8B7v7u9+7q7tnuw+6o7oruaO5E7iDt/O3Z7bbtlO1y7U/tKe0A7NTspux47ErsIev96+Lr0OvI68rr0uve6+zr9+v96/zr8evc67/rmutw60PrFurq6sLqn+qA6mbqUOo86irqGOoH6fXp4+nQ6b7premf6ZTpjOmJ6Yvpkumc6anpt+nE6c7p1enZ6drp2unb6eDp6+n+6hnqO+pg6oXqpOq46r7qtOqa6nHqP+oI6dHpnul06VPpO+kq6R7pE+kJ6P7o8+jq6OXo6Oj06QnpJulJ6W3pj+mq6bvpwem96a7pmOl+6WPpSeky6R7pDukC6Pno8+jv6O7o8ej26P7pCekT6R3pJekp6SrpJukg6RfpDekD6Pvo9Oju6Ojo4uja6NDoxOi26KfomOiL6H/oduhv6GjoYeha6FDoROg26CjoGugN6ALn+efy5+vn5Ofa587nvOen55Dndudc50XnMech5xXnDecH5wPnAOb75vbm7+bp5uPm3ubc5t7m4ubp5vPm/ucI5xLnG+ch5yTnJeck5yDnG+cT5wvnAeb35u7m5ubg5t7m3+bl5vDm/+cR5yXnO+dQ52TndueF55Hnmueh56XnqOep56nnqeep56nnqeep56vnreex57bnvOfD58rn0ufb5+Pn7Of05/3oBugO6BfoIOgp6DLoOeg/6EToSOhJ6EroSuhK6EvoTehQ6FXoXOhm6HHofeiM6Jvoq+i76Mzo3ujw6QLpE+kl6TXpRelU6WHpbOl26X/ph+mQ6Zjpoems6bfpxOnR6eDp7un86grqFuoj6i/qOupG6lPqYOpu6n3qjeqd6q7qv+rQ6uHq8esC6xLrIusz60PrU+tk63XrhuuY66vrvevQ6+Lr9OwH7BjsKuw97FDsZOx67JHsqezB7Nrs8e0H7RvtLu0/7U/tYO1y7Ybtne227dDt7O4G7h/uNu5J7lnuZ+507oDuje6c7q3uwO7V7uvvA+8a7zHvR+9d73Lvh++b77Dvw+/W7+fv+PAG8BPwH/Ar8DXwQPBK8FTwXfBl8GzwcfB28HzwgvCL8Jfwp/C78NLw7PEI8STxPvFV8WnxefGF8Y7xlfGa8aDxpvGu8bfxwvHP8d3x7fH88gzyGvIo8jTyP/JI8k/yVvJd8mPya/J08n7yifKV8qHyrvK68sXy0fLc8ujy8/L/8wrzFPMd8yXzKvMu8zDzMvM18zrzQvNO817zcPOE85nzrvPB89Hz3/Ps8/n0BvQV9Cf0PPRV9HH0j/Sv9ND08fUR9TH1UPVt9Yj1ofW39cn11vXg9eT15vXl9eL13vXZ9dX10PXK9cT1vvW69bj1vfXJ9eH2BvY49nf2vvcL91f3nPfW+AH4G/gj+Bz4Cvfy99j3wvez9633sffA99f39PgX+D74Z/iS+L/47vke+VH5hvm8+fP6Kfpd+o76vPrl+wn7KPtB+1X7ZPtx+3v7g/uL+5P7nPul+637tfu7+8D7wvvE+8f7y/vS+9377PwA/Bj8MfxL/GT8e/yR/KX8ufzP/Oj9Bv0p/U/9eP2h/cj96/4I/iD+Mv5B/k7+Xv5v/ob+oP6+/t7/AP8h/0L/Yv+D/6b/y//0ACIAUgCFALcA6AEVAT4BZQGLAbQB4QIVAlICmALlAzUDhAPQBBMESwR5BJwEtwTLBNwE6wT2BP4E/gTzBNkEsAR3BC8D3AOFAy8C4AKdAmkCRQIuAiACGAISAggB+QHkAcoBrgGSAXgBYgFRAUMBNgEpARgBAgDmAMQAnQB0AEoAIv/9/93/wf+r/5j/if99/3P/bP9o/2j/bP9z/37/iv+Z/6f/tP/A/8r/0//a/+H/6f/w//kAAwAMABUAHQAjACkALQAxADYAOwBBAEkAUgBaAGMAagBwAHUAeAB6AH0AgACEAIoAkQCYAKAApgCsALAAsgCzALMAtAC1ALgAuwDAAMQAyQDNAM8A0ADQAM4AzQDLAMoAyQDIAMgAxwDEAMEAuwC1AK0ApACcAJUAkACMAIoAiQCKAIoAiwCLAIoAiQCIAIYAhACCAIEAgACAAIEAggCDAIYAiQCMAJEAlQCaAKAApACpAK0AsQC0ALYAuAC5ALoAuwC7ALsAugC5ALcAtgCzALIAsQCwALIAtAC4AL4AxgDOANcA4QDrAPUBAAEJARMBGwEjASsBMQE2ATsBPwFDAUgBTQFUAVwBZwF1AYUBmQGvAcgB5AIBAiACQAJhAoMCpQLIAuoDDQMvA08DbgOLA6UDvAPQA+ID8gQBBA4EGwQnBDMEPQRGBEwETwRPBE0ESQREBEAEPQQ9BD4EQQREBEUEQwQ8BDIEJAQVBAkEAwQHBBgENgRiBJkE1gUVBVAFggWpBaYFsQWxBaoFnwWUBY0FiwWOBZYFoAWrBbUFvAXBBcIFwgXBBcEFwQXBBcEFwAW7BbEFogWOBXcFXQVEBS0FGgUMBQME/AT4BPME7QTkBNcEyQS6BK4EpQSjBKgEtQTIBN8E+QUTBSkFOwVHBU8FUgVUBVcFXgVpBXsFkwWvBc8F8AYOBigGPAZIBk0GSgZDBjcGKgYfBhYGFAYYBiUGOwZbBoUGuAb1BzgHgQfNCBkIYginCOQJGQlFCWYJgAmRCZwJogmjCaAJmAmLCXcJXAk4CQ0I2QifCGEIIwfnB7IHhgdlB1EHSQdNB1sHcQeLB6YHwAfXB+kH9gf+CAMIBAgECAQIBAgECAQIBAgDCAEH/Qf6B/YH9Qf2B/sIBAgRCCAIMQg/CEoITwhOCEUINwglCBEH/QfsB98H1wfUB9UH2AfeB+YH7wf7CAwIIgg+CGEIiwi4COYJEgk5CVgJbAl4CXsJeQl0CXIJdAl8CYwJogm9CdoJ9goPCiQKMwo9CkQKSQpOClQKWwpiCmoKcApyCnAKaApaCkkKNAoeCgkJ9wnoCd0J1gnSCdEJ0AnQCc8JzAnJCcQJvQm2Ca4JpQmbCZAJhAl3CWoJXglUCU0JSglOCVYJZAl2CYgJmQmlCaoJpgmZCYMJZwlJCS4JGgkRCRgJLwlWCYkJxgoFCkAKcwqYCqwKrgqhCoUKYAo2CgkJ3gm2CZAJawlGCR0I7Qi2CHUILAfeB4wHOwbvBqwGdgZNBjQGKgYtBjwGUgZuBowGqgbEBtoG6gbzBvUG8QbnBtgGxgaxBpoGhAZuBloGSAY4BisGIAYWBg8GCgYHBgYGCAYMBhQGHQYnBjEGOQY+Bj8GOgYwBh8GCgXxBdYFuwWgBYcFcQVdBUwFPAUtBR8FEQUDBPME4wTSBL8EqwSUBHsEXwRBBCEEAAPfA74DnwOCA2gDTwM4AyIDCwLzAtkCvQKeAn4CXQI7AhkB9wHUAbEBjAFkATkBCwDYAKMAawAy//n/wf+N/13/Mv8M/uv+zv60/p3+hv5v/lb+PP4g/gP95P3E/aT9hP1m/Uj9K/0Q/Pb83PzC/Kn8jvxy/FX8NvwW+/T70fuv+437bPtN+zH7F/r/+uf6z/q1+pn6evpY+jT6D/nr+cn5q/mS+X35bPle+VL5Rfk3+SX5EPj3+Nv4vPiZ+HT4TPgg9/D3u/eE90r3EPbZ9qj2f/Zh9k32RPZD9kf2TPZN9kn2PfYp9g316/XG9aD1fPVZ9Tn1G/T99N/0v/Sf9H70X/RE9C70HfQT9A70C/QJ9ATz+/Ps89bzvfOh84XzbPNX80jzPvM48zXzMfMs8yXzG/MQ8wPy9/Lr8t/y1PLH8rfyo/KJ8mnyRPIb8fHxyPGi8YHxZvFP8T7xMfEn8R7xFvEO8QXw+/Dv8N/wyvCv8I7wZfA28ALvy++T717vLu8G7uXuze687rHuqe6l7qLun+6d7pvume6X7pTuj+6G7nruaO5Q7jPuEu3u7crtp+2H7WjtS+0u7RDs7uzI7J3sbuw+7BDr5uvG67Drpuuo67Trxuvc6+/r/uwD6//r8OvY67brj+tk6zjrC+rg6rjqkupv6k/qM+oa6gTp8uni6dXpyem96a/poOmQ6YDpcell6V7pXOlg6WrpeOmH6Zfpo+ms6bHptOm46cDpz+np6g7qPOpx6qXq1Or36wjrBers6sDqhepC6fvpuOl86UnpIOj+6OLoyOiv6JfogOhu6GToZeh06JHou+ju6SbpXemO6bTpzenY6dbpyum46aLpjOl46WfpWOlM6UHpNukr6SDpFukM6QXpAOj96Pzo/Oj96P3o/ej66Pjo9Ojx6O7o7Ojq6Ojo5Oje6NXoyui86KzonOiM6H7ocuhp6GLoXOhX6FHoS+hE6D3oNugv6CroJugi6B3oF+gN5//n7OfU57jnmed551rnPucn5xXnCOb/5vjm8+bu5ujm4ebY5s/mx+bB5r7mv+bD5svm1ebh5uzm9ub95wDm/+b65vLm5ubZ5svmv+az5qvmpuam5qrmsua95szm3ebv5wLnFOcl5zTnQudN51fnX+dm52zncOd053jne+d953/ngueE54jnjOeS55nnoeer57XnwOfL59bn4Ofp5/Hn+Of/6AXoCugP6BXoGugf6CPoKOgs6DDoNOg46D3oQehG6EzoUuha6GPobuh66Ifoleik6LToxOjV6OXo9ekF6RTpIukw6T3pSelV6WHpbOl36YHpi+mV6Z7pqOmx6brpxOnO6dnp5un06gLqEuoj6jTqRepW6mfqduqF6pPqoeqw6r7qzerd6u3q/usQ6yLrNetH61nra+t964/roeuz68Xr2Ovq6/zsDuwg7DLsRexY7G3sguyZ7K/sxuzc7PHtBe0Y7SrtPO1P7WPtee2R7avtxu3i7f3uF+4v7kXuWe5r7nvuiu6Z7qjut+7H7tju6u787w/vI+8370zvYu9374vvnu+w77/vzO/Y7+Lv6+/07/3wCPAV8CLwMfBB8E/wXfBq8HXwgPCK8JXwofCv8L/w0vDm8PvxD/Ej8TXxRPFQ8VrxYvFp8W/xdfF98YfxkvGf8a7xvvHN8d3x6/H38gLyC/IU8hzyJPIt8jfyQvJP8lzyavJ38oPyjvKY8qPyrvK58sfy1fLm8vbzBvMU8x/zJ/Ms8y7zL/Mx8zbzP/NN82Lze/OY87bz0/Pt9AP0FPQh9Cz0NvRC9FP0aPSD9KT0yvTy9Rv1Q/Vo9Yn1pfW99dD14PXu9fn2BPYO9hn2I/Yu9jn2RPZO9lf2X/Zk9mj2a/Zt9nL2evaI9p32u/bh9xD3Rvd/97f37fgb+ED4Wfho+Gv4aPhe+FP4SvhF+Eb4Tvhf+Hf4lfi5+OH5C/k2+WL5jfm3+eD6B/ou+lP6dvqY+rj61Pru+wP7FPsg+yj7Lfsw+zH7M/s1+zn7P/tG+0/7V/tg+2f7bvt2+3/7i/ub+6/7yPvk/AL8H/w7/FP8Z/x4/If8lfym/Lv81fz1/Rr9Qv1q/ZD9sv3O/eX9+P4J/hv+L/5H/mP+g/6l/sX+5P7+/xX/Kv8//1b/c/+Y/8X/+gA0AHEArADjARMBPQFiAYUBqgHVAgkCSAKQAt8DMwOEA9AEEQRGBG8EjASfBKwEtAS5BLoEtgSqBJQEcQRABAIDugNsAxwC0gKRAlwCNQIbAgsCAgH6AfEB5AHRAbkBnQF/AWIBRwEvARoBBwDzAN4AxQCpAIgAZQBAABz/+v/b/8D/qv+X/4f/ev9v/2X/Xf9X/1T/VP9Y/1//aP9y/33/h/+Q/5j/n/+l/6v/sv+6/8P/zf/X/+H/6f/w//T/9//5//v//gABAAcADgAWAB4AJgAtADMANwA6AD0APwBCAEUASwBRAFgAXwBlAGsAbwByAHQAdQB3AHgAewB+AIIAhgCKAI4AkgCVAJcAmACZAJoAmwCcAJwAmwCaAJgAlACQAIwAhwCDAH8AfAB6AHkAeAB4AHgAeAB4AHYAdQBzAHEAbwBuAGwAawBqAGkAagBrAG0AbwBzAHgAfQCDAIkAjwCVAJoAngCiAKQApwCqAKwArQCvAK8ArwCtAKsAqAClAKIAoACfAKAAowCnAK4AtQC9AMUAzADSANcA2wDfAOMA5gDqAO4A9AD6AQEBCQESARwBKAE1AUUBVwFsAYUBoQHAAeICBgIsAlQCfQKmAtAC+QMiA0kDcAOTA7QD0gPrBAEEEgQgBCsENAQ7BEMESwRSBFoEYARjBGQEYQRaBFAERQQ5BC8EKAQkBCUEKQQuBDIENAQyBCsEIAQUBAkEAwQGBBQEMARZBIwExQUBBTkFaQWOBXQFeQVzBWYFVgVGBTkFMgUxBTUFPgVKBVYFYQVqBXIFeQV/BYYFjQWUBZwFoQWjBaAFlwWJBXUFXQVDBSkFEAT7BOoE3ATRBMgEvwS0BKkEnASOBIEEdgRvBGsEbARyBHoEhQSSBJ4EqwS3BMME0QTgBPIFCAUiBT4FXQV9BZwFugXWBe0GAAYPBhsGIgYmBigGKAYnBiUGJQYoBjAGPwZXBnoGpwbfByEHaQe1CAEISgiMCMUI9AkZCTQJSAlWCV8JZQlpCWgJYwlYCUQJKAkCCNIInAhhCCUH6we3B4wHbAdZB1IHVwdlB3wHlwe2B9UH8wgOCCQINQhACEYIRwhECD0INAgpCB0IEwgKCAMH/wf9CAAIBggPCBsIKQg5CEkIVwhjCGsIbwhvCGoIYQhVCEgIOggtCCEIFwgPCAkIBQgDCAMIBggNCBkIKghBCF0IfgigCMMI4wj+CRQJIgkpCSwJLAksCS8JNglDCVYJbgmJCaQJvwnWCeoJ+AoDCgsKEgoYCh8KKAoxCjoKQQpGCkYKQQo4CikKFwoDCe4J2gnICbgJqwmgCZgJkgmNCYoJhwmFCYQJggl/CXsJdQltCWEJUwlDCTIJIwkWCQ0JCwkOCRgJJgk3CUcJVQlbCVoJTwk7CSAJAQjiCMgItgixCLsI1Qj8CS4JaAmjCdsKCwovCkYKTgpJCjgKHgn/Cd0JuQmWCXMJTgknCPsIyQiPCEwIAwe1B2UHFgbLBokGUwYqBg8GAwYEBg8GIgY7BlUGbgaEBpYGogapBqsGqQajBpsGkQaGBnoGbgZiBlQGRwY5BisGHQYRBgcF/wX7BfsF/wYHBhEGHQYpBjQGPAZABj8GOQYuBh0GCAXxBdgFvgWlBY0FdgVhBU0FOwUqBRoFCgT7BOwE3QTMBLsEpwSRBHcEWwQ7BBkD9gPSA64DjANtA08DNAMaAwIC6QLQArYCmgJ9Al8CQAIhAgIB4wHDAaIBfwFYAS4A/wDMAJYAXQAj/+r/s/9//1D/Jv8B/uH+xf6s/pX+f/5p/lP+Pf4k/gv98f3V/bj9mv17/Vr9Ov0Z/Pj82Py5/Jv8f/xj/Ef8K/wO++/7z/uu+4v7aPtG+yb7CPrs+tH6t/qd+oH6Y/pC+h/5+fnT+a75i/ls+VH5Ovko+Rf5B/j2+OL4y/iu+I34Z/g++BH34few9333SfcW9uP2s/aH9mH2QvYq9hr2EfYN9gz2DPYJ9gL19fXi9cr1rfWN9Wv1SvUp9Qr07PTO9LH0k/R29Fr0QPQp9Bf0CvQB8/vz9/Pz8+zz4fPS873zpfOL83HzWfNF8zTzKPMf8xnzEvMK8wHy9vLp8tvyzfLA8rTyqPKd8pHygvJv8ljyPPIb8ffx0fGr8YbxZPFH8S/xHPEP8QbxAfD+8Pvw9/Du8ODwyvCt8IfwW/Aq7/Xvwe+P72LvO+8b7v/u6O7U7sHure6Y7oLubO5Y7kXuNu4q7iDuF+4N7gLt8u3e7cftrO2R7XftXu1J7TbtJO0R7Pvs4Oy+7JXsZ+w47Arr4uvD67Drqeuu67zrz+vi6/Hr+Ov26+nr0+u065DraOs/6xfq8OrK6qbqhOpj6kTqKOoQ6f3p7+nl6d7p2enT6cvpvumu6ZvpiOl26WnpY+lm6XDpgemU6ajpuOnC6cfpx+nF6cbpzunh6gHqLepi6pvq0er86xbrGusI6uDqp+pi6hnp0emQ6VnpLOkI6Oroz+i26J3ohuhx6GPoX+ho6H3on+jM6P3pL+ld6YLpm+mp6a3pqOmf6ZTpi+mG6YPphOmF6YXpgul66W/pX+lM6TnpJukU6Qbo++jy6Ozo6Ojl6OTo4+jk6OXo5+jq6Ovo6ujm6N7o0ujC6K/omuiF6HHoX+hR6EfoQeg96DzoPOg96D7oP+hB6EPoROhF6EToQOg56CzoGugC5+XnxOeg53znWuc75yHnDeb95vHm6Obg5tnm0ebI5r7mtuav5qrmquau5rXmwObL5tfm4Obm5ufm4+bZ5svmu+aq5prmjuaG5oTmiOaS5qDmsebD5tXm5+b25wLnDOcT5xnnHucj5ynnMOc35z/nSOdP51bnXOdh52TnZ+dq523nced454DnieeV56Hnree558PnzefV59vn4Ofl5+nn7efx5/fn/OgD6AroEegY6B/oJegr6DDoNeg56D7oQ+hI6E/oWOhh6G3oeeiH6Jbopei16MXo1Ojj6PLpAOkN6RrpJ+k06UDpTOlY6WPpbel36X/ph+mP6Zfpn+mn6bLpvenL6drp6un86g3qH+ow6kHqUOpe6mzqeuqJ6pjqqeq66s3q4Orz6wfrGuss6z7rUOth63PrhuuY66zrwOvT6+br+ewK7BvsLOw87E3sX+xz7Ifsneyz7Mns4Oz27QvtH+0z7UftW+1w7Ybtnu227c/t6e4C7hruMu5I7l3ucO6C7pTupe627sbu1+7o7vrvDO8e7zHvRO9X72nveu+K75jvpO+v77nvwu/L79Xv4e/u7/3wDPAd8C3wPfBL8FjwY/Bt8HfwgfCL8JfwpfCz8MPw1PDk8PPxAfEO8RjxIfEp8THxOfFC8UzxWPFl8XPxgvGR8Z/xrfG58cXx0PHb8efx9fID8hTyJfI28kfyV/Jk8m/yefKB8onyk/Kg8rDyw/LY8vDzBvMb8yzzOPNB80XzSfNN81bzZfN785rzwPPr9Bf0QvRp9Ij0oPSv9Lj0vvTE9M302/Tw9Q71MvVb9Yb1sPXY9fr2FfYq9jn2Q/ZL9lH2WfZj9nD2gPaS9qf2u/bQ9uP29PcD9w73GPcf9yb3Lvc390T3VPdq94T3o/fG9+z4E/g6+F74f/ic+LT4xvjV+OD46fjx+Pv5CPkY+S35Rvlj+YT5p/nL+e76Dvos+kb6XPpw+n/6jfqZ+qT6rvq3+r76w/rH+sn6yfrK+sv6zvrT+tr65fry+wD7D/se+y37OvtI+1f7Z/t7+5H7qvvE+9/7+fwR/CT8NfxC/E/8XPxs/IL8nPy9/OH9B/0s/U/9bf2G/Zv9rv3B/df98v4T/jn+Yv6N/rX+2f72/w7/If8z/0j/ZP+I/7f/7wAuAHAAsADqARsBQgFgAXkBkAGsAdAB/wI7AoMC0QMjA3EDuAP1BCQERgRdBGsEcwR3BHgEdQRtBF0ERAQeA+0DsgNuAyYC4AKeAmQCNQIQAfQB4AHPAb8BrQGYAYEBZwFMATIBGQEDAO8A3ADKALYAoACGAGkASQApAAn/6//Q/7n/pf+V/4j/fP9x/2j/YP9Z/1T/Uv9T/1f/Xf9l/23/df98/4H/hv+K/47/kv+Z/6D/qf+z/73/xv/N/9L/1v/X/9j/2P/a/9z/4f/n/+7/9v/+AAYADAARABUAGQAcAB8AIwApAC4ANAA5AD8AQwBGAEgASQBKAEsATQBPAFEAVQBZAF4AYwBnAGsAbgBwAHIAcwBzAHMAcgBxAHEAcQBwAHAAcQBxAHEAcQBxAHAAbgBrAGgAZABgAF0AWQBWAFQAUgBRAFAATwBPAE8AUABSAFUAWQBeAGQAagBxAHgAfgCDAIgAiwCNAI8AkACSAJMAlQCXAJkAmgCaAJkAlwCVAJMAkQCRAJEAkwCWAJsAnwCjAKcAqQCpAKgApwClAKQApACmAKwAswC+AMsA2wDsAQABFQEtAUcBYwGCAaQByQHvAhgCQwJuApoCxgLyAx0DSANxA5kDvgPhA/8EGAQtBDsERQRKBEsESgRJBEkESgRMBFAEVARWBFYEUwRLBD8EMQQhBBMECAQBA/8EAQQHBA8EFgQbBBwEGgQWBBIEEQQWBCQEPQRgBIsEvQTvBR4FRgVjBUEFPQUwBRwFBgTvBN0E0QTMBM4E2ATmBPgFCgUdBS4FPgVMBVkFZAVvBXcFfgWCBYIFfQVzBWUFUwU/BSoFFQUBBPAE4QTUBMkEvwS0BKoEngSTBIcEfARxBGgEYgRdBFsEWwReBGUEbwR+BJAEpwTBBN4E/QUcBTsFVwVwBYYFmQWqBboFygXaBesF/AYOBh0GKgYzBjgGOgY7Bj0GQwZQBmcGiQa2Bu4HLAdvB7AH7QgiCEwIbQiDCJIInAijCKoIsQi5CMEIxgjGCMAIsQiaCHwIWAgxCAoH6AfLB7cHrQerB7AHvQfOB+IH+AgOCCQIOQhMCF0Iagh0CHkIeQh0CGkIWwhLCDoILAghCBwIHggnCDYISghhCHkIkAijCLIIvAjACL8IugizCKoIoAiXCJAIigiFCIEIfgh6CHcIcwhuCGsIaghsCHEIewiICJkIrAjACNEI3wjpCO0I7AjnCOEI2wjYCNkI4gjxCQYJIQk+CVsJdgmNCaAJrQm3Cb0JwwnJCdAJ2QnlCfIJ/woLChMKFwoWCg8KAgnwCdsJwwmqCZEJeQljCVAJQQk2CS4JKgkpCSkJLAktCS0JKwklCRsJDgj+CO4I3gjRCMgIxAjFCMoI0wjcCOMI5QjiCNcIxQitCJIIdQhcCEoIQQhFCFUIcwibCMsJAAk2CWkJlQm5CdIJ4AnjCd0Jzgm4CZwJewlVCSsI/AjICI8IUAgLB8MHeActBuMGnwZiBi8GCAXsBdwF2AXdBegF+AYJBhkGKAYyBjkGOwY8BjsGOQY4BjgGOQY8Bj4GQAZBBj8GOgYzBikGHgYTBggGAAX7BfoF/AYCBgoGEwYcBiQGKQYqBigGIgYXBgkF+AXlBdAFugWkBY0FdgVfBUkFMwUfBQsE+ATnBNUExASzBKEEjgR5BGEERgQpBAoD6QPHA6UDgwNiA0IDIwMGAukCzQKyApcCfQJjAkoCMgIaAgIB6QHQAbMBlAFxAUoBIADxAMAAjQBZACb/9P/E/5f/bP9E/x3++f7W/rT+lP51/lj+PP4h/gf97f3T/bb9l/11/VH9Kv0C/Nn8sfyL/Gj8R/wq/A778/vY+7z7nft8+1n7NPsO+un6xvqk+oX6aPpM+i/6Efnw+c35qPmB+Vr5NPkR+PH41fi9+Kf4kvh9+GX4Svgr+Aj34Pe194j3Wvcr9v720fan9n72WPY19hb1+vXi9c/1v/Wx9ab1m/WP9YL1cvVe9Uj1MPUV9Pn03fTC9Kb0jPRz9Fr0Q/Qt9Bn0CPP68+/z5/Pi897z2/PW887zwvOy853zhvNs81LzOvMk8xHzAvL18uvy4PLW8svyvvKv8qDykPKB8nPyZ/Jc8lHyRvI68ivyGfID8erxzPGs8YrxafFK8S7xF/EF8Pnw8fDt8Ovw5/Dh8NXwwvCn8IbwXvAz8Abv2u+x743vbu9T7zrvI+8J7u3uze6p7oLuWu4z7g7t7O3P7bbtoO2M7XftY+1N7TbtIO0M7Pvs7uzl7N7s2ezR7MXssuyZ7HjsUuwq7AXr5OvM67/ru+vA68vr1+vg6+Pr3uvP67brlutx60rrJOr/6t7qvuqh6oXqaepO6jTqHOoI6fjp7uno6eXp5Onh6dvp0OnA6azplumD6XXpb+lz6YDplOms6cLp1Ond6d7p2OnN6cPpv+nG6dzqAOow6mjqn+rP6vDq/Ory6tLqn+pf6hnp0+mU6V/pNukX6QHo8ejk6Nfoy+jA6LjotOi46MXo2uj16RPpMelL6V/pa+lv6W7paull6WTpael06YTpmOmt6b/pzOnR6c3pwumv6Zbpe+lf6UTpLOkW6QTo9ejo6N/o2OjT6NHo0ujT6NXo1ujV6NHoyOi76Kroleh+6GboUeg96C7oI+gd6BnoGegb6B/oJOgp6C/oNOg56D7oQOg+6DjoLegc6ATn5ufE55/neudV5zPnFeb85ufm1+bJ5r7mteas5qXmn+ab5prmnOai5qrmtebA5snmz+bR5s3mw+a05qHmjuZ85m7mZuZm5m7mfeaT5qvmxebd5vHnAOcJ5wznCucG5wDm++b55vvnAOcJ5xTnIect5zjnQudI503nUOdT51XnWedf52fnced854jnlOef56jnr+e157nnvefA58TnyefQ59fn4Ofp5/Pn/OgE6AvoEegW6BroHegg6CToKOgt6DToPOhG6FLoX+ht6HzojOic6KzovOjK6Nno5ujy6P7pCekT6R3pJukw6TnpQ+lM6VXpXulo6XHpe+mG6ZDpnOmp6bbpxOnT6eLp8eoB6hDqIOov6kDqUepj6nfqi+qg6rXqyure6vLrBOsW6yfrOOtJ61vrbuuC65brq+u/69Pr5ev27AXsE+wg7C7sPexO7GDsdeyL7KPsu+zT7OvtAO0V7SftOe1K7Vztbe2A7ZPtqO2+7dXt7e4F7h3uNu5O7mXufO6S7qjuvO7P7uLu8+8D7xLvIO8u7zzvSe9V72Lvb+9874nvlu+k77Lvwe/Q7+Dv8O//8A3wG/An8DLwPPBF8E3wVvBf8GnwdPCA8I7wnPCr8Lnwx/DU8ODw6/D18P/xCfEU8SDxLPE78UrxWvFr8XvxjPGc8azxvPHN8d7x8fIF8hryL/JC8lTyY/Jw8nnygPKH8o7yl/Kl8rfyzfLo8wTzIfM881LzZPNx83rzgfOK85fzrPPK8/L0I/Rb9Jb0z/UD9S/1T/Vk9XD1dPV09XT1ePWD9ZX1sPXR9ff2HfZD9mT2f/aT9qH2qvaw9rT2ufa/9sn21vbm9vj3C/cf9zP3RfdW92T3cfd794T3jPeT95n3oPeo97L3wPfT9+r4Bvgo+E74dvig+Mj47vkQ+S35RflY+Wf5dfmD+ZL5pfm7+dT58PoN+in6QvpX+mb6cPp1+nf6dfpz+nD6bvpt+m36b/px+nT6ePp8+oH6ifqT+qD6sPrC+tb66/sA+xT7KPs8+0/7Yvt1+4j7nPuw+8L70fvf++n78vv6/AP8D/wg/Df8U/x1/Jr8wPzk/QX9If04/Uz9YP11/ZD9sf3b/gv+QP52/qv+2/8E/yb/Q/9d/3n/mf/A/+8AJwBlAKMA3wEUAT4BXQFxAX8BigGYAa4B0QIAAj0CgwLPAxoDYQOeA9AD9gQRBCMELgQ1BDoEPAQ6BDMEJAQLA+YDtwN+Az8C/AK6AnsCQgIRAecBwgGiAYUBaQFNATEBFQD8AOUA0QDBALQAqgCfAJQAhQByAFwAQwAnAAr/7v/V/77/q/+b/47/g/96/3H/av9j/1//XP9c/17/Y/9p/2//dv97/3//gv+D/4X/hv+I/4z/kv+Z/6H/qf+x/7j/vf/A/8L/w//E/8X/yP/M/9H/2P/f/+b/7f/z//n//gACAAUACQANABEAFQAZAB0AIAAjACUAJwAoACgAKQArAC0AMAA0ADkAPgBCAEcASgBMAE4ATgBNAEwASwBKAEoASwBNAE8AUgBVAFcAWABYAFYAUwBPAEoARAA+ADkANgAzADEAMQAxADIAMwA0ADYAOAA8AEAARQBLAFEAWABfAGUAaQBsAG0AbQBrAGoAaABnAGgAaQBsAG8AcgB1AHcAeQB5AHkAeQB5AHkAeQB6AHsAfAB8AHsAegB3AHQAcQBwAHAAcwB6AIUAkwClALoA0gDsAQkBJwFIAWsBkAG3AeECDAI5AmYCkgK+AukDEgM7A2IDiQOuA9MD9QQVBDAERgRVBF4EXwRbBFIERwQ7BDIELQQsBDAENwRABEkETwRSBFAESgRABDQEKAQfBBkEGAQbBCEEKQQyBDkEPgRBBEQESAROBFsEbQSHBKcEygTuBQ4FKQU6BQEE+ATpBNUEvwSqBJoEjwSMBJIEoQS2BNAE7AUJBSUFPgVUBWUFcgV7BYEFhAWEBYEFfAV0BWsFYAVUBUcFOgUuBSEFFgULBQAE9QTqBN8E0gTGBLgEqgSdBI8EgwR4BHAEbARtBHQEgASUBK0EygTqBQsFKwVGBV0FbQV3BX4FggWHBY4FmgWsBcMF3wX9BhoGNAZHBlQGWgZcBlsGXQZkBnMGjQayBuAHFQdLB34HqwfOB+cH9Af5B/kH9gf1B/gIAAgNCB4IMAhACEwIUghSCEwIQgg2CCwIJAgiCCUILAg3CEQIUQhcCGQIawhvCHMIdwh8CIIIiQiPCJQIlgiTCIsIfwhwCGEIVQhPCFEIXAhyCJAItAjcCQQJJwlDCVcJYAlgCVcJSQk5CScJGAkMCQQJAAj/CQAJAQkCCQEI/wj7CPcI9AjyCPMI9Qj6CQAJBAkGCQQI/AjvCNwIxQitCJYIhAh5CHYIfgiPCKgIyAjqCQwJKglECVgJZQltCXIJdgl7CYMJjwmfCbMJyAncCe4J+gn+CfkJ7AnVCbgJlAltCUYJIAj9COEIygi7CLMIsQizCLkIvwjFCMkIyQjFCLwIsQijCJQIhgh7CHIIbQhsCGwIbAhrCGcIXghRCD0IJggNB/QH3QfNB8UHxgfSB+kICQgwCF0IjQi9COsJFQk5CVcJbQl6CYAJfAluCVcJNgkLCNYImQhTCAgHuAdmBxUGxwaABkAGCwXiBcQFsgWrBawFtAXABc4F2wXlBesF7AXpBeMF3AXUBc8FzQXPBdYF4AXtBfsGCAYTBhsGHgYeBhsGFQYNBgYGAAX9BfsF/QYABgQGCQYNBg8GEAYOBgkGAwX6Be4F4QXSBcEFrwWaBYUFbgVWBT4FJgUOBPcE4ATLBLYEogSOBHoEZAROBDYEHQQCA+YDyQOrA4wDbANMAywDCwLrAswCrQKQAnUCXAJFAjECHgIMAfoB5wHSAbsBoAGBAV8BOQESAOgAvgCUAGoAQAAW/+z/wP+S/2L/Mv8A/s7+nf5v/kT+HP34/dj9uf2c/X/9X/09/Rj88PzG/Jv8cfxJ/CP8Avvj+8f7rfuS+3f7Wfs4+xT67vrG+p76d/pS+i/6D/nw+dH5svmR+W/5Svkj+Pz41fiv+Iv4a/hM+DD4Fff59933vfeb93f3T/cn9v/22Pay9o72bfZO9jH2FfX69d/1xfWr9ZH1efVh9Uv1NvUh9Qz09/Th9Mr0sfSX9Hz0YfRG9Cz0E/P78+fz1fPG87vzs/Ov863zrfOu867zrPOo85/zkvOA82rzUvM48x7zBfLv8tzyzfLA8rXyrPKi8pfyi/J88mzyWvJI8jfyJ/Ia8g7yBPH78fLx6fHc8c3xuvGi8YfxavFM8S/xFPD98Ovw3vDU8M3wxvC+8LPwo/CN8HHwUvAv8Azv6u/L76/vl++A72nvUO807xHu6e677ofuUe4a7ePtsO2A7VTtLO0H7OXsxuyo7I7seexo7F3sV+xX7FrsXuxh7F/sWOxK7DbsHuwF6+3r2uvN68jryevP69br3Ovb69Prwuun64brYOs46xHq7erN6rDql+qA6mjqUeo56iHqCun36ejp3unZ6dfp1unU6c/pxOm06aHpjOl66W7paulw6X/plumv6cbp2Ong6d/p1enF6bbprOmt6b3p3OoK6kHqeuqv6tbq6+rq6tLqpepq6ibp4Omg6WnpP+kh6Q7pBekB6QLpBOkH6QvpEukb6SjpOOlJ6Vvpael06XnpeOlz6WzpZull6WvpeumR6bDp0+n36hjqMepB6kTqPOoq6g7p7enI6aHpe+lX6TbpGOj96Obo0ujD6LfosOis6Kzoreiv6LDoruio6J7okOh/6GvoVuhC6DHoIegV6A3oB+gD6ALoAugE6AjoDOgS6BjoH+gj6CXoIugb6Azn9+fb57vnludw50nnJecE5ufmz+a85qzmn+aW5o/miuaI5ojmi+aP5pbmneaj5qfmqOaj5prmjOZ65mbmVOZF5jzmO+ZE5lXmbeaL5qvmyebj5vXnAOcC5vzm8ubk5tbmy+bF5sTmyubW5ubm9+cJ5xjnJecv5zXnOOc75z3nQOdF50znVedf52rnded+54Xni+eP55LnleeY553no+er57XnwOfK59Xn3ufm5+zn8Of05/fn+ef96ALoCOgP6BnoI+gv6DzoSuhZ6Gjod+iG6Jbopei06MHozujZ6OPo7Ojz6PrpAOkH6Q7pFeke6SjpM+k/6UvpWOlk6XHpfemJ6ZTpoOms6bjpxenU6eTp9eoH6hvqMepH6l7qdeqM6qLquOrM6t7q8OsB6xHrIusz60brWett64Hrluup67vrzOvb6+jr8+v/7AvsGOwn7DjsS+xh7Hnskeyp7MDs1ezp7PvtC+0a7SntOO1H7Vjtau1+7ZTtq+3F7d/t++4X7jTuUO5s7obunu6z7sXu1O7g7uru8u747v/vBu8P7xnvJu8170bvWe9u74PvmO+u78Pv1u/p7/rwCvAY8CTwL/A58EHwSvBS8FrwZPBv8HvwifCX8Kfwt/DH8Nfw5vD18QPxEfEg8TDxQfFU8WjxfvGU8avxwvHY8e7yA/IW8iryPfJQ8mLydPKE8pLyn/Ko8rDytvK98sTyzvLd8vDzB/Mi80DzXvN685HzpPOy87vzwvPL89fz6vQH9C/0YfSb9Nn1GfVV9Yn1tPXS9eX17vXw9e717fXw9fj2B/Yc9jf2VfZ09pH2q/bA9tH23fbl9uv28Pb19vv3AvcL9xb3Ivcv9z33Tfdc92z3fPeL95n3pfeu97T3uPe697z3v/fG99P35vgB+CT4Tfh7+Kr42PkC+Sf5Rfld+W75e/mH+ZP5ofmz+cj54Pn6+hT6Kvo9+kn6UPpS+k/6SfpC+j36Ofo4+jr6P/pF+kz6VPpd+mb6cPp7+oj6mPqq+r761frt+wb7H/s4+1H7aPt9+5H7ofuu+7f7vfu/+777vfu8+7/7x/vV++v8CPwr/FL8evyh/MT84/z+/Rb9Lf1H/Wb9jf27/fD+K/5p/qb+4P8V/0P/bP+R/7X/2wAFADMAZgCcANEBAwEsAU0BYwFxAXgBfwGIAZkBtQHdAhECTgKRAtUDFQNNA3wDoQO8A9AD3gPoA/AD9gP4A/YD7QPbA78DmANnAy8C8gKyAnQCOQICAdABowF5AVEBKwEHAOQAxACoAJAAfwBzAGwAaABmAGQAXgBVAEcANQAfAAj/7//Z/8T/s/+l/5r/kf+K/4P/ff93/3L/bv9s/2z/bv9x/3b/fP+B/4T/h/+H/4f/hf+E/4P/hP+G/4r/j/+V/5v/of+m/6n/rP+u/7D/sf+0/7f/u//A/8X/y//Q/9X/2f/d/+D/4//m/+j/6//u//L/9f/4//v//f//AAEAAwAFAAcACQANABEAFQAZAB4AIQAkACYAJwAnACYAJQAjACMAIwAjACUAJwApACsALAArACoAJwAjAB8AGwAXABQAEwASABMAFQAXABkAGwAdACAAIgAlACkALQAyADcAPABAAEMARABDAEEAPQA4ADQAMQAvAC8AMQA0ADoAQABGAEwAUQBUAFYAVwBXAFcAVgBUAFMAUQBPAE0ASwBJAEkASgBOAFYAYQBwAIMAmQCzAM8A7gEOATABVQF7AaQBzwH8AisCWgKIArUC4AMIAy0DTwNwA48DrwPOA+4EDgQsBEcEXQRrBHEEbgRjBFIEPQQoBBYECgQGBAsEGAQsBEQEXQRzBIUEkQSVBJQEjwSHBIAEewR4BHkEfQSDBIkEjwSTBJYEmASbBJ8EpgSwBL4EzwTgBPAE/AUCBLcEsgSqBJ8ElASJBIIEgQSGBJMEqATEBOUFCgUvBVQFdQWSBakFugXFBcsFzQXLBccFwQW7BbQFrAWlBZ0FlQWMBYIFeAVtBWEFVQVIBToFLAUdBQ4E/gTtBN0EzgTABLcEsgSzBLsEygThBP0FHAU9BVsFdQWIBZMFlwWUBY4FhwWEBYcFkwWoBcYF6QYQBjUGVgZvBn8GhgaIBoYGhgaLBpgGsAbSBvsHKQdXB4AHoQe3B8EHwQe6B7AHpwejB6UHsAfDB9oH9QgOCCMIMwg9CEIIRAhFCEgIUAhbCGsIfwiSCKQIsQi5CLoItQitCKIImQiSCJAIkQiWCJsIoQikCKMInwiYCJAIiwiMCJUIqAjGCO4JHQlQCYMJsAnVCe8J/An9CfQJ5AnPCbkJpQmVCYoJgwmACX8Jfwl/CX0Jegl2CXEJbAlpCWcJZglkCWEJWwlQCT4JJAkECN0ItAiLCGYISQg2CDAIOAhLCGkIjQi0CNoI/AkWCSkJNAk5CTsJPQlACUkJWAltCYcJowm/CdcJ5wnuCegJ1gm4CY8JYAktCPkIygigCH8IaAhbCFYIWAhfCGgIcQh4CHwIegh1CGsIXwhRCEQIOAgvCCgIIwggCB0IGQgRCAcH9wfkB84HtwefB4sHfAdyB3EHdweFB5sHtwfYB/wIIghJCHAIlQi5CNkI9gkMCRsJIQkcCQwI7gjDCIsIRwf6B6cHUAb5BqYGWQYWBd4FtAWWBYQFfgWABYgFlQWhBawFswW1BbEFqQWeBZAFgwV5BXMFcwV5BYQFlAWoBbwFzwXfBewF9AX4BfkF9wX0BfIF8AXwBfEF9AX4BfsF/gX/Bf8F/AX3BfEF6QXfBdQFyAW7BawFmwWJBXQFXgVHBS8FFgT+BOYEzwS4BKEEigR0BFwERAQrBBED9wPcA8ADpAOHA2oDSwMsAwwC6wLKAqoCiwJuAlQCPAIoAhcCBwH5AeoB2gHIAbIBmQF9AV4BPAEaAPcA1QCzAJEAbgBKACT/+v/L/5j/Yf8n/uv+sP52/kD+Dv3h/bn9lf10/VT9NP0T/PD8y/yk/H38Vvww/Az76vvL+677kvt2+1n7OvsY+vT6zfqm+n76Vvow+gv56PnG+aX5hPlh+T35GPjy+Mv4pPh9+Ff4MvgP9+z3yfel94D3Wvcy9wr24va89pj2ePZc9kP2LfYa9gj19vXi9c31tfWb9YD1ZPVI9Sz1EfT39N70xvSt9JP0d/Rb9D30HvP+8+HzxfOs85jziPN983jzdvN4833zgvOG84jzhvOA83bzZvNS8zvzIfMH8u7y2PLE8rTyp/Kc8pTyi/KC8nfyafJZ8kXyMPIb8gbx8/Hj8dfxz/HK8cbxw/G+8bbxqvGY8YHxZvFH8SjxCvDu8Nbww/C18KrwoPCX8IzwffBr8FTwOfAd7//v4+/I77Dvmu+F727vVe827xHu5e6x7nfuOe337bXtde037P7syOyY7G3sR+wn7A3r++vv6+rr7Ovz6/3sB+wQ7BXsFewQ7Abr+evr697r1evR69Lr1uvc6+Dr4Ova68zrteuX63TrTesn6wLq4erE6qrqkup66mPqSuow6hfqAOnr6dzp0unN6czpy+nK6cbpvOmu6Z3piul66W/pbelz6YLpl+mv6cXp1unf6d7p1enI6brpsum06cTp5OoT6kvqiOrB6u/rDesU6wbq4uqt6m3qKOnk6afpdelQ6TfpKukm6SrpM+lB6VHpY+l46Y3poem06cTpzunT6dLpzOnE6bvpt+m56cXp2+n66iHqTep46p7qu+rM6s7qw+qq6ofqW+or6fnpyOmY6WzpQ+kf6P7o4+jL6Ljoquih6Jzomuib6Jzoneib6Jfoj+iD6HXoZuhV6EToNegn6BvoEegI6AHn++f35/Tn9Of25/nn/+gF6AroDegM6Abn+ufn587nsOeO52rnRecj5wTm6ObQ5rzmrOaf5pTmiuaD5nzmeOZ05nLmcOZu5mvmZuZe5lTmR+Y45irmHuYW5hTmGuYn5jzmV+Z15pTmsObH5tbm3ebb5tLmxea15qfmnOaX5pnmouax5sPm2Obs5v7nDOcX5x3nIeci5yPnJucq5y/nOOdB50vnVede52Xnaudu53Hnded5537nheeO55fnoues57XnvefD58jnzOfQ59Pn2Ofe5+Xn7+f56AXoEege6CvoN+hD6FDoXOhp6HfoheiT6KHorui66MXozujW6N3o4+jo6O7o9ej+6QjpE+kf6SzpOelG6VLpXulp6XPpfemJ6ZXpo+my6cTp2Onu6gXqHeo16k3qZOp66o/qouq16sbq1+rn6vjrCesc6y/rQutW62rrfeuP65/rruu868jr0+vf6+rr9+wF7BbsJ+w77E/sZOx47I3soOyy7MTs1ezl7PbtCO0a7S7tQ+1a7XLti+2m7cLt3+397hvuOO5U7m7uhe6Y7qjutO687sHuxO7F7sfuyu7Q7tju4+7z7wXvGu8y70vvZe+A75vvte/P7+fv/vAT8CXwNfBC8E3wV/Bf8Gfwb/B68IbwlfCn8Lvw0fDp8QHxGfEw8UfxXPFy8YnxoPG58dTx8fIO8izySfJk8nzykvKk8rPywPLK8tTy3PLk8uzy9PL88wTzDfMV8yDzLPM7803zYvN685Lzq/PB89Xz4/Pt8/Pz9vP58/70CPQa9DX0WvSI9Lz09PUs9WH1kPW29dL15fXx9ff1+vX+9gT2DvYc9i/2RfZe9nj2kfao9r32z/bd9ur28/b89wP3CfcP9xb3Hvcn9zL3QPdQ92L3dveK9533rve698L3xffE98D3vPe597v3xPfW9/H4FPg++Gv4mvjH+PD5Evkt+UL5Ufld+Wj5dPmC+ZP5qPm++dT56Pn5+gb6DvoS+hL6EPoP+g76EPoV+h36J/oy+j76SvpU+l76Z/pw+nr6hfqT+qT6ufrQ+ur7Bfsi+z77Wfty+4f7mPuj+6n7qvum+577lvuQ+437kPub+6/7y/vv/Bf8Qvxt/Jb8vPze/P79HP07/V79hv2z/ef+IP5b/pf+0f8I/zv/av+V/7//6QAUAEEAcACfAMsA8wEVAS8BQQFNAVUBXAFnAXkBkwG3AeQCGQJRAooCwQLxAxoDOwNVA2kDeQOFA44DlAOVA5EDhgNxA1IDKgL5AsIChwJMAhIB3AGrAX4BVAEuAQkA5ADBAJ4AfQBfAEcANQApACIAIQAiACUAJQAjABwAEgAD//P/4f/Q/8L/tv+u/6j/o/+g/5z/l/+R/4v/hP9+/3r/d/93/3r/fv+D/4j/jP+O/47/jf+K/4b/g/+A/37/fv+A/4L/hv+J/43/j/+R/5P/lP+W/5f/mf+c/5//o/+m/6r/rf+v/7H/sv+0/7X/t/+5/7v/vv/C/8X/yf/M/87/0f/T/9X/1//Z/9z/4P/k/+j/7f/x//T/9//4//n/+f/5//j/+P/4//n/+f/6//v/+//7//v/+v/4//f/9f/1//T/9f/3//n/+//9//8AAQADAAQABQAGAAgACQAMAA4ADwAQAA8ADgAKAAYAAf/9//n/9v/2//j//AACAAkAEQAZACEAJwAsAC8AMQAyADIAMQAwAC4ALQArACoAKwAtADEAOABEAFIAZgB9AJcAtADUAPYBGQE9AWIBigGzAd8CDAI8AmwCmgLHAvEDFQM1A1ADZwN8A5ADpQO9A9gD9gQVBDIETARfBGkEaAReBEoEMQQWA/4D7APlA+kD+wQXBDwEZQSPBLUE1QTrBPkE/gT8BPYE7wToBOIE3wTeBN8E3wTeBNsE1gTQBMgEwAS6BLYEtAS0BLYEuAS5BJoEnQSfBKIEpASmBKsEsgS/BNAE6AUFBSgFTgV2BZ4FxQXoBgYGHwYyBj8GRwZLBksGSQZEBj0GNAYqBh4GEQYDBfQF5QXWBcgFugWuBaMFmAWNBYMFeAVsBV8FUwVHBT4FOQU6BUAFTgVhBXkFkwWtBcQF1QXfBeIF3gXWBcsFwwXABcUF1AXsBgwGMAZVBncGkgalBq4GrgapBqMGnwahBq4GxAblBw0HOAdiB4YHogezB7sHuwe3B7IHsge5B8gH3wf8CBwIOwhUCGQIawhoCF4ITwhBCDYIMwg4CEUIWQhwCIgInQirCLIIsQiqCJ8IkgiICIEIgAiDCIoIkwidCKUIqgiuCLAItAi8CMoI4QkBCSkJWAmKCbwJ6QoPCisKOwpACjoKLgodCgsJ+gnsCeIJ3AnaCdgJ1wnWCdIJzQnHCcAJuQmzCa4JqgmkCZwJjwl7CWAJPQkTCOMIsQiBCFYINQghCBsIJAg7CFsIggisCNMI9AkOCR4JJgknCSUJIwkkCSsJOAlNCWgJhQmhCbkJyQnNCcUJrwmOCWIJMAj8CMkImwh1CFkIRgg9CDwIQAhHCE4IVAhWCFQITghECDcIKggdCBEICAgBB/0H+gf4B/QH8AfoB94H0AfAB7AHnweQB4QHewd3B3gHfQeGB5MHoge0B8gH3wf2CBAIKwhHCGMIfQiVCKcIsgi0CKwIlwh3CEoIEgfRB4oHPgbyBqcGYQYiBesFvwWcBYQFdAVsBWkFagVrBWwFagVlBVwFUQVEBTcFLQUnBSYFKwU3BUgFXgV1BY0FowW1BcQFzQXSBdQF1AXTBdIF0gXUBdgF3QXiBeYF6QXqBekF5AXeBdUFywXABbMFpgWXBYgFdwVlBVEFPAUmBQ8E+AThBMsEtQSfBIoEcwRdBEUELAQSA/cD2wO+A6EDgwNlA0cDJwMIAucCxwKnAogCawJRAjkCJQIUAgYB+QHtAeAB0gHAAasBkwF3AVgBOAEWAPUA1QC1AJYAdwBWADMADf/i/7P/gP9J/xD+1v6d/mb+Mv4D/df9r/2L/Wj9R/0l/QP84Py8/Jf8cfxM/Cf8BPvh+8D7n/t++1z7OvsW+vH6y/qk+n36Vfou+gj54vm8+Zf5cflM+Sb5APja+LT4jvho+EP4Hff19833o/d290j3Gfbp9rv2j/Zn9kT2J/YQ9f718fXl9dv10PXD9bP1n/WI9W/1VPU49R31AvTp9ND0uPSg9Ib0a/RP9DD0EPPw89HztPOb84fzePNv82rzavNt83LzdvN583jzc/Np81rzR/Mx8xny//Ln8tDyvPKr8p3ykfKG8nvybvJg8k7yOPIh8gfx7fHU8b/xrvGj8Z7xnvGi8ajxrvGw8a7xpPGS8XnxWvE38RLw7/DO8LPwnvCP8ITwffB28G3wYfBR8DvwIvAG7+jvy++v75Xvfu9n71DvNu8X7vLuxe6R7lTuE+3N7YXtP+z87L3shuxV7C3sDev26+fr4evh6+jr8+wB7BDsHOwl7CnsJ+wg7BXsB+v66+3r5Ovf693r3uvg6+Dr3evU68Xrr+uT63PrUOsu6wzq7OrP6rPqmOp96mLqRuoq6hDp+unn6drp0+nR6dLp1OnU6dHpyem86avpmemJ6X3peOl76YfpmOms6cDp0Ona6dzp1+nP6cbpwunI6drp+uon6l/qnOrX6wrrL+tC60HrLOsF6tDqk+pU6hjp4um26ZXpgOl36XfpgemS6anpxOng6f3qF+ot6j3qRepG6j/qM+om6hrqE+oV6iLqO+pf6orquern6w7rKus36zXrIusA6tLqnOpj6ijp8Om96ZDpaelI6S3pFukC6PLo5OjZ6M/ox+jA6Lnosein6J3okOiC6HPoY+hT6EXoN+gr6CDoF+gO6Abn/uf35/Ln7efr5+vn7efx5/bn+uf85/vn9efp59nnw+ep54znb+dR5zXnG+cD5u3m2ubH5rXmo+aS5oDmcOZg5lLmRuY85jPmLOYm5iDmG+YW5hLmD+YQ5hTmHOYq5jvmUOZn5n3mkuai5q3mseav5qnmoOaV5o3mh+aH5ozml+am5rjmy+bd5u3m+ecB5wbnCecK5wrnDOcQ5xbnHecn5zHnO+dF503nU+dZ513nYudn52znc+d754PnjOeV55zno+ep567nsue357znw+fL59Tn3+fq5/boAugN6BfoIegq6DPoPOhG6FLoXuhs6HroieiX6KTosOi66MPoy+jS6Nno4ejp6PLo/OkH6RPpHukq6TXpQOlK6VXpYelu6X3pjemg6bTpy+ni6frqEeoo6j7qUupl6nfqh+qY6qjquOrJ6trq7Or/6xPrJus6603rX+tx64Hrkeuf663ru+vI69br5Ovy7AHsEOwf7C7sPuxO7F7sb+yA7JPspuy77NHs6O0B7RrtNO1P7Wrthe2h7bzt2O3z7g7uJ+5A7lbuae567ofuke6Y7p7uou6l7qnuru617r7uye7X7ufu+e8N7yLvOe9S72zviO+l78Lv3+/68BPwKfA88EzwWPBi8GzwdvCD8JPwqPDB8N/xAPEj8UbxafGK8anxxfHg8fryFfIw8kzya/KL8qryyfLk8vzzD/Md8ybzKvMs8yzzLPMu8zHzOPNA80rzVvNj83Hzf/ON85zzrPO8883z3vPt8/z0B/QP9BT0FvQW9Bf0GfQg9Cz0P/RZ9Hr0ofTL9PX1H/VF9Wb1gvWZ9av1uvXH9dT14vXy9gb2HPY09k32aPaC9pv2s/bI9tv27Pb59wX3DvcW9x73Jvcv9zv3SPdZ9233gveX96v3vPfI9873zffG97v3rPef95T3kfeW96X3v/fi+Az4O/hr+Jr4xPjo+Qb5Hvkw+T75SvlV+WD5bfl6+Yj5lvmj+a75uPnA+cf5zfnU+dz55vny+f/6Dfoc+ir6N/pC+kz6Vfpd+mX6b/p6+oj6mPqr+sH62fry+wz7Jfs8+1H7Yvtu+3b7ePt3+3P7bvtq+2j7bPt3+4r7pPvG++z8F/xD/G/8mfzB/Ob9Cv0u/VP9ev2k/dL+Av41/mj+m/7N/v3/K/9Z/4b/s//iABEAPwBtAJcAvQDcAPUBBwEUAR4BKAE0AUUBXAF7AaEBywH5AigCVQJ/AqQCxALgAvYDCQMYAyIDJgMjAxgDAgLiArcChAJJAgoBywGOAVYBJgD9ANsAvwCmAI8AeABgAEgALwAYAAP/8v/m/9//3f/f/+L/5f/m/+X/4P/Z/8//xv+8/7X/sP+u/67/r/+v/6//rf+o/6H/mf+Q/4j/g/+A/4D/g/+H/47/lP+Z/5v/nP+a/5X/kP+K/4P/fv96/3f/dv92/3b/dv93/3f/eP94/3n/ef97/33/f/+B/4L/hP+E/4T/hP+D/4H/gf+A/4H/gv+E/4f/iv+O/5H/k/+W/5j/mv+b/57/oP+k/6j/rP+x/7X/uf+9/8D/wv/E/8X/xv/H/8j/yv/L/83/zv/P/9D/0f/R/9D/0P/Q/8//0P/Q/9H/0f/S/9P/1P/V/9X/1v/X/9j/2P/Z/9n/2f/Y/9b/0//Q/8z/yf/H/8X/xv/I/8z/0f/X/9//5v/t//P/+P/9AAEABAAHAAoADQAQABMAFgAZABwAIQAoADEAPQBOAGIAewCXALcA2gD+ASMBSQFwAZcBwAHqAhUCQQJuApoCxALpAwoDJAM4A0YDTwNXA14DaAN3A40DpwPHA+gECAQkBDcEQAQ+BDIEHgQHA/AD3gPWA9sD7gQOBDkEawSgBNMFAAUjBTwFSgVOBUoFQQU3BSwFIgUaBRUFDwUKBQIE+ATsBN0EzgS+BLAEpAScBJgElgSXBN8E5wTwBPkFAwUNBRcFIwUxBUIFVwVxBY4FsAXVBfsGIgZJBm0GjgaqBsIG1QbiBuoG6wboBt4G0Aa9BqcGjgZ0BloGQgYuBh0GEgYLBgkGCgYNBhEGFQYWBhUGEgYNBggGBAYDBgUGDAYWBiQGNAZCBk8GVwZbBlkGUwZLBkQGQQZCBkwGXAZ0Bo8GqwbFBtkG5QbnBuEG1AbEBrUGrAasBrYGywbqBw4HNgdbB3wHlgepB7YHwAfLB9wH9QgXCEMIdQipCNkJAAkZCR8JEwj1CMoIlghiCDMIDwf5B/IH+ggOCCkIRghgCHUIggiHCIUIfgh2CHAIbAhuCHUIfwiNCJwIqgi5CMYI1AjjCPUJDAkoCUkJbQmTCbkJ2wn4Cg0KGgoeChwKFgoNCgQJ/Qn4CfgJ+gn+CgMKBgoICgYKAgn7CfIJ6AneCdUJygm/CbAJngmFCWUJPwkSCOEIsAiACFgIOQgoCCQILwhHCGkIkQi7COMJBQkfCTAJOQk7CTkJNQkzCTYJPQlKCVoJbAl9CYkJjwmKCXwJZAlDCRwI8QjHCJ8IfQhiCE8IQwg+CDwIPQg+CD0IOwg0CCsIIAgTCAcH+wfyB+sH5gfjB+IH4QfhB98H3QfZB9QHzwfJB8UHwQe/B74HvwfAB8IHxAfFB8YHxgfHB8kHzQfSB9sH5gf0CAQIFAgkCDIIPQhCCEIIOggrCBMH9AfOB6EHbgc2BvsGvQaABkMGCgXWBagFgQVhBUgFNQUnBR0FFQUOBQgFAQT7BPYE9AT2BP0FCQUaBTAFSQVlBX8FmAWtBb0FxwXNBc4FzQXKBcgFxgXGBcgFywXOBdEF0gXSBc4FyAW+BbMFpQWXBYcFdwVnBVUFQwUwBR0FCATyBNwExgSwBJoEhQRvBFsERgQwBBoEAwPqA9ADtQOYA3oDWwM7AxsC+wLaAroCmgJ9AmECSAIzAiACEQIFAfsB8gHoAd4B0QHBAawBlAF4AVkBOAEVAPIAzwCtAIsAaQBIACUAAf/b/7L/hv9Y/yj+9/7G/pX+Zv45/g395f2+/Zn9df1R/S39CPzj/Lz8lPxr/EH8GPvu+8T7m/tz+0v7I/r8+tb6r/qI+mH6OfoR+ef5vfmS+Wf5PfkT+Or4wvic+Hf4U/gv+Av35fe895D3YPct9vf2wPaJ9lX2JPX59db1ufWl9Zb1jPWG9YD1efVw9WP1UvU+9Sb1DfTz9Nn0wPSp9JP0f/Rq9Fb0QfQq9BLz+PPe88XzrfOZ84jze/Ny827zbfNt827zbvNs82bzXfNP8z3zJ/MQ8vfy3/LI8rTyofKQ8oHycfJh8k3yNvIc8f3x2/G48ZXxdvFc8UrxQfFC8UvxW/Fw8YbxmfGl8anxofGO8XHxTPEi8PbwzfCo8Ivwd/Bq8GPwX/Bc8FfwTvA+8CjwDO/t78vvqe+J723vU+887yXvDO7v7svuoO5r7i/t6+2j7VntEezN7JHsXuw27BrsCuwE7AjsFewn7DzsUuxm7HfsgeyF7IHsduxl7E/sN+wg7Arr+Ovq6+Hr2uvW69HryuvA67HrneuE62jrSesp6wjq6OrH6qjqiOpq6kvqLuoT6fzp6unc6dXp0+nV6dnp3Onc6djpz+m/6azpmOmE6XTpa+lq6XDpfOmM6Z3prOm36bzpu+m46bTps+m56cnp5eoN6j7qdequ6uLrDesr6znrNusi6wHq1uqk6nHqQOoW6fTp3OnP6c/p2ens6gfqJ+pJ6mrqh+qc6qfqpuqb6ofqbOpQ6jXqI+ob6iHqNupX6oPqs+rj6wzrKus46zTrH+r66snqkOpU6hrp5em56Zbpfels6WHpW+lX6VTpT+lH6TvpLOka6QTo6+jQ6LTomOh86GHoSeg06CPoFOgJ6AHn+uf15/Dn7Ofo5+Tn4ufg5+Dn4efk5+jn7Ofv5/Dn7efn59vnzOe556Tnjed1517nSOcz5x7nCeb05t3mxeas5pLmeOZg5krmOOYq5iHmHOYb5h3mIeYm5izmMuY45j7mReZN5lXmX+Zq5nXmf+aI5o7mkuaS5pHmjuaL5onmieaL5pHmm+am5rPmwebO5tnm4ebn5uvm7ubv5vHm9eb55wDnCOcS5xznJ+cw5znnQOdG50vnUOdV51rnYedo52/nd+d/54bnjeeT55nnnuej56nnsOe558LnzOfX5+Hn7Of26ADoCegR6BnoIugs6DboQuhP6Fzoauh46ITokOib6KTorei16LzoxOjM6NXo3+jq6PXpAekN6RnpJukz6ULpUeli6XTpiOmc6bLpyOne6fPqB+oa6izqPepM6lvqaup56ojqmOqp6rrqzOre6vDrA+sV6yjrOutM617rceuD65Trpuu268br1evj6/Dr/ewJ7BXsIewv7D7sT+xi7Hfsjuyn7MHs3Oz27RHtLO1G7WDtee2R7artwu3Z7fDuBu4b7i3uP+5O7lzuaO5z7n/uiu6W7qPuse7A7s/u3e7r7vjvBe8R7x3vKu8570zvYe9675bvtO/S7/DwDfAm8DvwTvBf8G/wf/CT8KvwyPDq8RHxO/Fo8ZPxvfHi8gPyH/I38k3yYfJ28ozypPK+8tny9PMN8yPzNPM/80bzSPNH80TzQ/ND80bzTfNX82TzcvOA847zmvOl86/zuPPB88vz1vPj8/Dz/fQL9Bb0IfQp9C/0NfQ69ED0SfRW9Gf0fPSV9LH0zvTt9Qz1KfVF9WD1efWR9an1wvXb9fb2EvYv9kz2aPaF9qD2ufbQ9uT29vcG9xT3H/cq9zT3PfdI91T3Yfdx94P3lfen97f3xPfL98v3xPe296L3i/dy91v3Sfc/90D3Tfdm94r3tvfp+B/4VPiG+LP42fj3+Q75H/kr+TP5OvlA+Ub5TflW+WH5bfl7+Yn5mfmp+bn5yvnZ+ej59/oE+hD6G/om+jD6O/pG+lH6Xfpq+nj6hvqU+qP6sfrA+s/63vru+v37C/sZ+yX7MPs5+0H7SPtQ+1j7Y/tx+4P7mvu2+9X7+Pwd/ET8a/yS/Lj83v0E/Sr9Uf15/aH9y/32/iD+S/53/qP+z/7+/y7/YP+T/8j/+wAtAFoAgQCiALwAzgDcAOUA7gD3AQQBFgEuAUsBbQGSAbkB4QIIAi0CTwJvAosCpAK3AsQCyQLDArICkwJoAjAB7wGnAVwBEwDPAJMAYQA7AB8ADP////X/7P/j/9j/y/++/7D/pf+c/5f/lv+Y/5z/of+m/6n/qv+p/6f/pP+h/5//nv+g/6T/qP+s/7D/sf+w/63/p/+h/5v/lv+T/5P/lf+Z/5//pv+r/6//sP+v/6v/pv+e/5b/jf+F/37/eP9z/2//bP9q/2f/Zf9k/2L/Yv9h/2H/Yf9i/2H/YP9e/1v/WP9T/0//Sv9H/0T/Q/9C/0P/Rf9I/0v/T/9R/1T/V/9Z/1z/Xv9h/2T/Z/9q/27/cv91/3j/e/9+/4H/g/+G/4r/jf+R/5T/mP+a/5z/nf+d/5z/m/+Z/5f/lP+S/5H/kP+Q/5H/kv+U/5f/mv+d/6H/o/+m/6f/qP+n/6b/pP+i/6D/n/+f/5//of+k/6j/rP+x/7X/uf+8/7//wv/G/8v/0f/Y/+H/6v/0//8ACQATAB0AKAAzAEEAUQBmAH4AnAC9AOIBCQEzAV0BhwGwAdkCAQIoAk8CdAKYAroC2QLzAwcDFQMdAx8DHQMaAxgDGgMiAzEDSANmA4kDrAPOA+oD/wQKBAsEBQP6A+8D5wPmA/EEBwQqBFgEjQTFBPwFLgVWBXMFhAWKBYcFfAVuBV8FUQVFBTsFNAUuBSgFIQUZBQ4FAgT2BOoE4ATZBNUE1QTYBV4FZQVuBXcFgQWLBZcFowWxBcEF0wXpBgIGHwY/BmIGhwatBtMG+QcbBzsHVQdqB3cHfAd5B20HWgc/Bx4G+wbWBrMGlAZ8BmsGZAZkBm0GewaNBqEGtAbEBs8G1wbaBtoG2QbXBtYG1wbaBt8G5QbqBu8G8QbwBu0G6AbkBuEG4gbpBvQHBAcXByoHOwdGB0oHRgc6BycHEAb6BugG3gbdBucG+gcUBzMHUgduB4YHmQepB7gHygflCAsIPwiACM0JHwlxCbkJ8QoRChYJ/gnMCYUJMAjXCIMIOwgFB+QH2QfiB/gIGAg6CFkIcgiCCIoIiwiHCIEIfQh9CIEIjAicCK8IxQjbCPIJBwkdCTEJRglcCXIJiAmeCbMJxAnSCdsJ3wnfCdwJ2AnVCdMJ1QnbCeQJ8An+CgsKFgoeCiIKIQobChIKBgn4CekJ2QnGCbIJmQl8CVoJNAkJCNsIrgiDCF8IRQg1CDMIPQhUCHQImgjDCOwJEQkvCUYJVglfCWIJYglhCWAJXwleCV4JXQlZCVIJRQkyCRoI/AjcCLsImgh8CGIITQg9CDIIKggkCB4IGQgRCAgH/AfwB+QH2AfPB8cHwgfAB78HvwfAB8AHwAfAB78Hvge+B8AHxAfLB9UH4AfsB/gIAggKCA0IDAgICAAH9QfqB94H1AfNB8gHxwfIB8wH0QfYB94H5AfqB+4H8QfyB/AH6QfdB8oHrweKB1sHIwbjBpwGUwYLBcUFhwVSBScFCATyBOcE4QThBOQE6ATtBPIE+AT/BQoFGAUrBUIFXQV5BZYFsQXJBdsF6AXvBfEF7gXpBeMF3QXYBdUF0gXQBc4FywXGBb4FswWmBZYFhAVyBV8FTAU6BSgFFgUDBPAE2wTFBK4ElgR+BGUETAQ0BB0EBwPxA9wDxgOwA5kDgANlA0gDKQMIAucCxQKkAoUCZwJMAjUCIQIRAgUB+wH0Ae4B6AHhAdgBzAG9AakBkgF3AVgBNwEUAPAAywCmAIIAXgA6ABb/8f/M/6b/f/9X/y3/Av7W/qr+fv5S/if9/f3U/az9hv1g/Tr9E/zs/MP8mPxr/Dz8DPvb+6r7eftJ+xv67/rE+pz6dPpN+iX5/PnR+aX5d/lH+Rf46Pi5+Iz4Yvg6+BX38PfM96b3fvdT9yP27va29nv2P/YE9c31m/Vx9U/1NfUk9Rr1FPUS9RD1DfUH9Pz07PTZ9MH0p/SM9HL0WPRB9Cz0GvQJ8/rz7PPd883zvfOt853zjfN/83PzafNi813zWvNY81fzVPNP80fzO/Ms8xnzBPLt8tXyvvKo8pPygPJt8lryRfIt8hHx7/HJ8Z7xcfFD8Rnw9fDa8MvwyvDV8OzxDfEy8VfxePGR8Z3xmvGK8WzxRPEW8ObwuPCR8HPwXfBR8EzwSvBJ8EXwO/Aq8BLv9O/Q76vvhu9j70XvKu8T7v7u5u7L7qnuf+5L7g3tyO1+7TPs6uyn7G/sQ+wl7BXsFOwf7DTsUexx7JHsruzG7Nbs3eza7M7sueye7H/sXuw97B7sBOvu69zrzuvD67nrruuh65Hrfutm60zrLusN6uzqyeqm6oPqYupB6iPqCOnx6d7p0unK6cjpyunO6dHp0+nR6cjpu+mo6ZHpeeli6VDpQ+k96T/pR+lU6WLpcOl76YHphOmE6YLpg+mI6ZXprOnL6fTqI+pW6ofqtOrX6vDq++r56unqz+qt6ofqYOo76h3qCOn96f/qDOok6kXqauqS6rbq0+rl6ujq3erC6pzqbeo66gvp5OnK6cHpyunj6grqOepp6pbquOrM6s7qv+qg6nXqQ+oP6d7ptOmU6YDpd+l46YDpjema6aXpqumo6Z7pjOlx6VDpKej/6NPopuh86FXoM+gW5/7n7Off59fn0ufP587nzufP59Dn0ufU59jn3Ofh5+bn6+fu5+/n7efn59znz+e+56vnl+eC527nWudH5zPnIOcL5vTm3ObB5qbmiuZw5ljmReY45jDmLuYx5jnmQ+ZN5ljmYeZo5m3mb+Zw5nDmcOZw5nHmc+Z25nnmfeaA5oLmhOaG5ofmieaL5o/mlOab5qLmquay5rnmwObG5svm0ObU5tnm3+bl5u3m9eb+5wfnEOcY5x/nJecq5y7nM+c35zznQudI51DnWOdg52jncOd3537nhOeK55Dnlued56Xnrue358LnzefY5+Pn7+f66AXoEOgc6CfoMug86EfoUeha6GPoa+hz6HrogOiI6I/ol+ih6Kvot+jE6NLo4ujy6QTpFukp6TzpUell6Xrpj+mj6bbpyena6evp+uoI6hbqJOox6j/qTupd6mzqfOqM6pzqrOq86szq3Ort6v7rEesk6znrTutk63nrjeug67HrwevO69rr5uvx6/3sC+wc7C7sROxb7HTsjuyp7MPs2+zy7QjtHO0w7UPtVu1q7X7tlO2q7cDt1u3r7f/uEu4j7jTuRO5W7mjufe6U7qzuxe7f7vfvDO8e7yzvNe8870DvRO9K71LvX+9x74nvpe/F7+bwCPAo8EbwYvB88JTwrvDJ8OjxC/Ey8V3xivG38eLyCfIr8kXyWvJo8nPyfPKE8o7ynPKs8r/y1PLq8v7zD/Md8yfzLfMw8zLzNPM38zzzQ/NN81jzZPNv83jzgPOF84nzjPOQ85bzn/Or87rzzfPj8/n0D/Qk9Df0R/RV9GH0bfR49IP0kfSg9LH0xfTb9PP1DfUo9UT1YvWB9aH1w/Xl9gf2KfZK9mn2hvag9rf2zPbe9u72/fcK9xb3Ivcu9zn3RfdR9133avd494X3k/eh96z3tPe497b3rvef94r3b/dR9zL3Fvb/9vH27/b59xD3NPdj95r31fgS+Ez4gfiu+NP47vkB+Q35FPkZ+R35I/ks+Tn5Svlf+XX5jfmk+br5zfnc+ej58fn4+f/6BfoN+hj6JPoz+kT6Vvpo+nj6hvqQ+pj6nvqh+qT6qPqt+rX6wfrQ+uL69vsM+yP7OftO+2L7dPuG+5j7qvu9+9L76fwD/B/8Pvxf/IL8p/zN/PP9G/1B/Wj9j/21/dv+Af4o/lL+fv6t/uD/Ff9N/4X/vf/xACEASQBqAIQAlQChAKkArwC3AMEAzwDiAPsBGAE5AV0BggGnAcwB7wIQAi8CSgJhAnACdgJyAmACQQITAdkBkwFGAPUApQBaABf/4P+0/5X/gP90/23/af9m/2L/XP9U/0z/Rf8//zz/Pf9B/0f/UP9a/2P/av9x/3X/d/95/3v/fv+B/4b/jP+T/5r/oP+l/6j/qv+r/6v/q/+r/6z/rv+y/7b/uv+9/8D/wf/A/7z/t/+w/6j/oP+X/47/hf9+/3f/cP9q/2T/X/9a/1b/Uv9P/0v/SP9F/0H/PP83/zD/Kf8i/xr/E/8N/wf/A/8B/wD/AP8C/wX/CP8M/w//Ev8V/xj/Gv8c/x7/IP8h/yL/JP8l/yf/KP8r/y3/Mf81/zv/QP9G/0v/UP9V/1j/Wv9a/1n/V/9U/1H/Tv9M/0r/Sv9L/03/Uf9X/13/ZP9r/3L/eP99/4H/hP+F/4b/hf+E/4T/g/+E/4X/hv+I/4v/jf+O/4//kP+R/5L/lf+Z/6D/qf+1/8P/0//k//UABgAVACQAMwBCAFIAZgB9AJoAvADjAQ4BPQFtAZ4BzgH7AiUCTAJuAo0CqALAAtUC5QLyAvsDAAMAAv4C+QLzAu8C7wL0Av8DEQMpA0cDZgOGA6QDvQPQA90D5QPqA+8D+AQGBB0EPQRnBJkE0QUKBUEFcgWbBbgFyQXOBckFvQWsBZkFhwV4BWwFZQVgBV8FXwVfBV4FXQVbBVkFVgVUBVQFVQVZBagFrAWyBbkFwQXMBdkF5wX3BgoGHgY1Bk4GagaIBqcGyQbtBxEHNQdZB3kHlgeuB74HxgfFB7oHpgeLB2kHQwcdBvkG2gbCBrQGrwa0BsAG1AbrBwQHGwcwB0EHTQdUB1gHWgdaB1sHXAdeB2IHZQdoB2oHaQdnB2QHYQdfB18HYwdqB3YHhAeSB58HqAesB6gHnQeMB3gHYgdPB0IHPAc/B0oHWwdwB4UHmAemB68Hswe2B70HywfmCBIIUQihCP4JYwnICiIKaQqVCqIKjwpcChAJswlOCOsIkwhNCB0IBQgCCBEIKwhLCGsIhgiZCKQIpwikCJ8ImgiZCJ4IqQi5CM8I6AkDCR0JNglNCWAJcQl/CYsJlQmdCaMJpwmoCacJpAmfCZoJlgmUCZUJmwmlCbMJxQnXCeoJ+woIChAKFAoRCgoJ/gnvCd0JyQmzCZoJgAljCUIJHwj5CNIIqwiHCGgIUAhBCD0IQwhTCGsIigiuCNII9gkXCTMJSQlaCWUJbAluCWwJZgldCVEJQQktCRUI+gjbCLsImwh8CF8IRQgwCB8IEQgHB/4H9QfsB+EH1QfHB7kHrAefB5YHjweMB4wHjweSB5YHmAeZB5cHlAeRB44HjQeQB5gHpQe3B80H5Af8CBIIIwgvCDMIMQgoCBsICwf6B+kH2gfPB8YHwAe9B7sHuge6B7wHvgfBB8cHzgfXB98H5gfoB+IH0we2B4wHVAcPBsAGawYVBcMFeAU6BQoE6QTXBNEE1gThBPAFAAUOBRsFJgUwBTwFSQVZBW0FhQWgBbsF1gXtBf8GDAYSBhIGDgYGBfwF8QXoBeAF2QXTBc0FxgW9BbAFoQWPBXsFZQVPBToFJgUTBQEE8QTgBM8EvQSoBJEEeARdBEAEJAQHA+0D1AO9A6cDkgN+A2gDUQM4AxwC/QLdArsCmAJ3AlgCPQIlAhICAwH4AfEB7AHnAeMB3QHWAcsBvAGqAZQBewFfAUEBIQEAAN4AvACZAHcAVQAyABD/7f/J/6T/f/9X/y7/Av7W/qj+ef5L/hz98P3E/Zv9c/1N/Sj9A/zd/LX8i/xe/C/7/PvI+5P7X/sr+vn6yvqd+nP6S/oj+fv50fmm+Xn5SvkZ+Of4tfiF+Fb4KvgA99f3sPeI9173MPb/9sr2j/ZS9hP11fWY9WL1MvUL9O302fTO9Mn0yvTN9ND00vTP9Mf0uvSn9JD0dfRZ9Dz0IPQG8+/z3PPL873zsfOm85vzkfOG83rzb/Nj81nzT/NH80HzPfM58zfzM/Mu8yfzHfMP8v7y6fLT8rvyo/KL8nXyX/JK8jTyHPIB8eLxvfGT8WTxM/EB8NPwq/CO8H3wfPCJ8KXwyvD28SPxTfFt8YHxhfF58V/xOfEL8NrwqvB/8F3wQ/Az8CrwJfAi8BzwEvAC7+rvze+s74jvZe9E7ybvDe727uDuye6u7ovuYO4s7e/tqu1h7Rjs0uyU7GDsO+wk7B3sJOw37FPsdOyX7Lns1uzr7Pjs+uzz7OLsyuys7IvsaOxF7CTsB+vt69brw+uy66Prk+uC62/rWetA6yTrBurm6sTqoep+6lzqPOod6gLp6+nY6crpwum96b3pv+nB6cLpwOm76bDpoOmN6XbpX+lK6TjpK+kl6STpKekx6TvpRulO6VXpWOlZ6VvpXelk6XDpg+mf6cHp6uoW6kTqb+qU6rHqxOrM6snqvOqn6o3qcOpU6j3qLeoo6i7qP+pb6n/qqOrR6vTrD+sb6xfrAOrZ6qPqY+oe6dzpo+l46V/pWuln6YTprena6gbqK+pD6k3qR+oz6hPp7enE6Z7pf+lp6V/pYOlr6XvpkOmk6bXpv+nA6bjppumL6WfpPukQ6OHosuiF6FvoNugX5/7n6ufc59LnzefK58vnzefQ59Xn2ufg5+bn7efz5/jn/Of95/vn9efs59/nzue756fnked852fnVOdB5y/nHecK5vbm4ObI5q/mluZ/5mnmWOZL5kTmQuZF5k3mVuZh5mvmc+Z45nrmeuZ35nPmbuZq5mjmZ+Zo5mvmb+Zz5nfme+Z95n/mgOaB5oLmhOaG5ormjuaU5pvmouap5rDmt+a+5sXmy+bS5tnm3+bm5u3m8+b55v7nA+cH5wvnD+cT5xjnHeck5yznNOc950fnUOdY52DnaOdu53TneueA54fnjueX56Dnq+e358Tn0ufg5+3n+ugG6BHoG+gj6CvoMug46D3oQuhI6E7oVOhc6GXob+h76Ijol+in6Lnozeji6PnpEOkn6T/pVuls6YHplOmm6bXpwunP6drp5enx6f3qCuoY6ijqOOpI6lnqaep56ofqlOqh6q7qvOrL6tzq7usD6xnrMetJ62DrdeuJ65rrqeu268Lrzuvb6+rr/OwR7CnsQ+xe7HrslOyt7MPs1uzm7PTtAO0N7RrtKu087VLtau2E7Z/tuu3V7e3uA+4Y7izuP+5U7mzuhu6k7sXu5+8K7yvvSe9i73Tvge+H74nvie+J74zvku+f77Lvy+/q8A3wMvBX8HvwnvC+8N3w+/Ea8TrxXPGB8afxzvH08hjyN/JQ8mPycPJ28nnyefJ58nvygPKJ8pXypfK38sry3PLt8vvzBvMP8xbzHPMh8yfzLfM08zvzQvNH80vzTvNQ81HzUvNV81rzZPNw84HzlvOu88jz4/P+9Bj0MfRH9Fz0b/SA9JH0ovSy9MP01fTo9Pz1EvUr9Ub1Y/WE9ab1yvXv9hT2N/ZX9nT2jPag9rH2vvbJ9tL23Pbm9vL2//cN9x33LPc690j3Vfdg92r3c/d894T3jPeR95T3k/eN94L3cfda90D3JPcJ9vP25Pbh9ur3APck91T3jffL+Av4SPh++Kz40Pjq+Pv5BfkK+Q/5Ffke+S35QPlY+XL5jvmn+b750Pnd+eT56Pnp+en56/nv+fn6BvoY+i36RPpZ+m36fPqG+ov6jPqK+ob6hPqF+or6lfqm+rz62Pr2+xb7NftT+237hPuX+6j7tvvD+9H74Pvx/Ab8H/w7/Fr8fPyg/Mb86/0Q/TT9WP17/Z39wf3m/g7+Ov5p/pz+0v8K/0L/ef+s/9kAAAAfADYARwBTAFwAZQBvAHwAjQCkAL4A3QD+AR8BQQFiAYEBngG6AdIB6AH7AgcCDQIKAfwB4gG7AYgBSgEDALYAaQAd/9n/nf9s/0b/K/8Y/w3/Bv8B/vz+9/7w/un+4f7c/tn+2f7d/uX+8P79/wv/Gf8l/zD/Of9A/0b/S/9R/1f/Xv9n/3H/e/+F/4//mP+g/6b/q/+v/7L/tf+3/7n/u/+8/73/vv+9/7z/uf+0/6//qP+h/5n/kP+I/3//dv9u/2b/Xv9X/1D/Sf9C/zr/M/8r/yP/Gv8Q/wf+/f7z/un+4P7Z/tL+zf7J/sb+xf7E/sX+xv7H/sn+yv7M/s7+z/7Q/tH+0f7S/tL+0v7S/tL+1P7W/tn+3v7j/ur+8f75/wH/CP8O/xP/F/8Z/xv/G/8a/xn/Gf8Y/xn/G/8e/yP/Kf8w/zn/Qv9L/1P/XP9i/2j/bP9u/3D/cP9v/27/bf9t/23/bf9u/3D/cv9z/3X/d/95/33/g/+L/5b/o/+z/8X/2f/tAAAAEwAkADQAQwBSAGQAeACSALEA1gECATMBaQGgAdcCDAI8AmcCjAKpAsAC0gLeAuYC6wLvAvEC8QLyAvEC8QLxAvMC9QL7AwQDDwMeAzADRANYA20DgAOTA6QDtgPIA90D9gQVBDsEZwSbBNMFDgVIBX8FrwXVBfEGAQYGBgAF8gXfBcoFtAWgBZEFhgV/BX4FfwWDBYkFjwWUBZkFnAWfBaEFowWlBYAFhwWPBZgFpQW0BcUF2QXuBgYGHgY4BlIGbQaJBqUGwgbgBv4HHQc8B1kHcweKB5sHpQeoB6IHlQeAB2cHSgcsBxEG+QboBt4G3AbhBuwG+wcNByAHMQdAB0wHVgdcB2IHZgdrB3EHeAeAB4gHjweUB5cHlweVB5EHjQeLB4sHjgeVB6AHrQe7B8cH0AfVB9MHzAfAB7IHpAeZB5IHkQeWB6EHrge7B8YHzAfLB8QHuAesB6MHowexB9EIBAhJCJ0I+glYCa8J9gonCjwKNQoSCdgJjQk7COkInwhjCDkIIggdCCYIOAhPCGUIdwiCCIcIhQh/CHgIcwhyCHgIgwiVCKwIxQjfCPcJDQkeCSwJNQk6CT0JPgk9CTsJOQk2CTIJLgkqCSYJJAkkCSgJLwk6CUkJXAlwCYUJmQmpCbYJvQm/CbwJtAmnCZcJhAlvCVkJQQkoCQ4I8gjWCLkInAiBCGkIVQhGCD8IPghECFEIYwh5CJEIqgjDCNoI7gj+CQsJFAkYCRgJFAkMCP8I7gjZCMAIpgiJCG0IUgg4CCEIDgf9B+8H4wfZB84Hwge1B6cHmQeLB34HdAdsB2kHaQdtB3IHdwd8B34Hfgd6B3QHbAdlB2IHYwdqB3kHjwerB8sH7AgMCCcIOwhGCEkIQwg3CCUIEgf/B+0H3wfVB88HzAfKB8kHyAfHB8YHxQfFB8cHzAfSB9oH4AfiB90HzQewB4UHSgcCBq8GVgX8BacFWwUdBO8E0gTFBMcE1AToBQAFGAUvBUIFUwVhBW8FfgWOBaEFtgXMBeIF9gYGBhAGEwYQBggF+gXqBdkFygW8BbEFqAWiBZsFlAWKBX4FbQVZBUIFKgUSBPoE5QTTBMMEtgSpBJ0EjgR+BGoEUwQ5BB4EAQPkA8kDsAOZA4UDcQNeA0sDNQMcAwEC4gLAAp4CewJaAjwCIgINAf4B8wHtAekB5gHjAd4B1QHIAbcBogGIAWsBTAEqAQkA6ADHAKcAiABrAE4AMgAW//r/3P+9/5z/eP9R/yf++v7L/pn+Zv4z/gH90f2k/Xr9Uv0u/Qz86/zK/Kf8gvxZ/C37/fvL+5j7Y/sv+v36zfqf+nT6S/oi+fr50fmn+Xv5Tfke+O/4v/iR+GT4OPgO9+X3u/eQ92L3L/b59r72f/Y99fv1u/V+9Uj1GfT09Nn0x/S/9L30wfTH9M700/TU9ND0xvS39KP0i/Rw9FP0N/Qd9ATz7vPc88zzvvOy86fzm/OQ84PzdfNn81jzSvM+8zLzKfMi8xvzFvMQ8wjy/vLw8t/yyvKy8pjyfPJh8kfyL/IY8gLx6/HT8bjxmfF08UvxHvDv8MLwmfB58GTwXPBj8HjwmPC/8OrxE/E18UvxU/FL8TTxD/Dg8KzwdvBE8Bfv9O/a78jvvu+377Pvre+l75jvh+9z71vvQu8q7xHu+u7j7svusO6Q7mvuPu4K7dDtke1Q7RDs1eyi7HrsXexO7ErsU+xk7Hvsleyw7Mjs2+zn7Ovs6Oze7M3stuyb7H7sX+xB7CPsB+vs69Pru+ul647reOth60jrL+sT6vfq2eq66pvqe+pc6j7qIuoI6fHp3unO6cPpu+m26bPps+my6bDpremn6Z3pkemC6XLpYulS6UXpO+k06THpMekz6TbpOuk96T/pQelD6UbpTOlV6WTpeemU6bXp2+oE6i7qV+p96p7qt+rJ6tTq1urT6svqweq36rHqr+q16sLq1+rz6xPrNOtS62nrdOtw61vrNer+6rvqbuof6dPpkOlc6TrpK+ku6ULpYemH6a3pz+no6fTp9Ono6dPptumY6XvpYulS6UnpSulR6V7pbel76YbpjOmL6YLpcela6T3pG+j36NLoruiL6GzoUOg46CToFOgI6ADn++f55/nn+uf96AHoBegJ6A3oEOgR6BHoD+gJ6AHn9efm59TnwOeq55Tnfedn51PnQOcu5x7nDeb95uvm2ObE5q/mmuaF5nPmY+ZW5k7mSuZL5k7mVOZa5mDmZeZp5mrmaeZm5mPmYOZe5l3mXuZh5mXmauZv5nPmduZ55nrmeeZ55njmeeZ65n3mgeaH5o7mlead5qTmq+ax5rfmu+bA5sTmyebO5tPm2Obd5uPm6Obu5vLm9+b85wHnBucM5xPnG+ck5y3nNuc/50jnUedY51/nZuds53LneOeA54jnkeec56fns+e/58vn1+fi5+zn9ef+6AXoDOgT6BvoIugq6DPoPehI6FToYOhu6H3ojuif6LPox+jd6PXpDOkk6TzpUuln6XnpiemX6aPprem36cDpy+nX6eTp9OoF6hjqK+o+6lDqYepv6nzqh+qR6pvqpuqz6sPq1erq6wHrGesy60rrYet164frluuk67HrvuvN697r8ewI7CHsO+xV7G/shuyb7KzsuuzG7NHs3Ozp7PrtDu0n7UTtZe2I7avtze3t7gnuI+467k/uZO577pTusu7U7vrvI+9M73Xvmu+679Lv5O/u7/Hv8e/v7+7v8O/38ATwGPAy8FHwc/CW8Lnw2/D78RjxM/FN8WfxgfGd8bnx1fHx8gzyJPI48kjyU/Ja8l7yX/Jf8mDyY/Jo8nDyfPKJ8pnyqfK58sjy1fLh8uvy8/L78wHzBvMM8xDzFPMZ8xzzIPMk8ynzL/M280DzTPNa82nze/OO86Lzt/PM8+Pz+fQQ9Cj0QPRZ9HL0i/Sk9Lz00/Tq9QD1F/Uv9Un1ZfWD9aT1xvXp9gv2KvZG9l32cPZ99ob2jfaT9pn2ofat9rz2zvbi9vf3DPce9y33OfdB90b3SvdN91H3V/dg92r3dPd+94T3h/eD93r3bfdc90v3Pfc29zf3Rfde94P3svfo+CL4WviN+Ln42/jy+P/5BPkF+QP5A/kG+Q/5Hvky+Un5Y/l7+ZD5ofms+bL5s/mx+bD5r/mz+bv5yfnb+fH6Cfog+jX6RvpR+lj6W/pa+ln6Wvpd+mb6dPqI+qH6v/rf+v/7H/s8+1X7a/t9+4z7mfum+7P7wvvU++n8Afwb/Dn8WPx4/Jj8uPzY/Pf9Ff00/VP9df2Z/cD96/4a/kz+gf62/uv/Hf9L/3P/lv+y/8n/2//r//oACgAdADQATgBsAIwArgDPAO4BCwEkAToBTQFcAWoBdQF+AYQBhgGCAXYBYAFAARYA4ACiAF4AFv/P/4z/UP8d/vX+1/7C/rX+rf6p/qX+of6b/pX+jf6G/oH+f/6A/oX+j/6c/qv+vP7M/tz+6v72/wH/Cv8T/xv/Jf8v/zr/Rv9T/1//bP92/4D/h/+N/5H/lP+X/5n/m/+d/5//of+j/6X/pf+k/6L/nv+Z/5L/i/+C/3r/cf9p/2H/Wf9R/0n/Qf84/y7/JP8Y/wz+//7y/uX+2P7N/sL+uf6w/qn+o/6d/pj+k/6P/ov+h/6E/oH+f/59/n3+fP58/n3+ff5+/n/+gf6D/ob+if6O/pT+m/6k/q3+t/7B/sv+1P7d/uT+6/7w/vX++P77/v7/Af8E/wf/C/8Q/xX/G/8i/yr/Mv86/0L/Sf9Q/1X/Wf9b/1z/W/9Z/1f/Vf9S/1H/Uf9R/1T/WP9d/2P/a/91/4D/jf+c/63/v//T/+j//gATACYAOQBKAFkAaAB4AIkAngC4ANcA/QEpAVoBkAHHAf4CMQJgAogCqALAAtAC2QLeAt4C3gLdAt0C3wLiAugC7wL3Av4DBgMNAxIDGAMcAyEDJwMtAzYDQQNPA2EDdwOSA7MD2QQFBDcEbQSnBOIFHQVVBYkFtQXYBfEGAAYEBf8F8QXeBcYFrQWVBX8FbAVeBVQFTwVOBVAFVAVaBWAFZgVsBXEFdgV7BR4FLgVABVMFaAV/BZgFsQXMBeYGAAYaBjIGSgZgBnYGjAaiBrgGzwbmBvwHEQckBzMHPgdDB0MHPQczByQHFQcEBvYG6wbkBuEG5AbqBvQG/wcKBxUHHwcmBysHMAc1BzoHQgdLB1cHZAdxB34HiQeRB5UHlQeRB4sHhQeAB30HfweFB5AHngevB78HzQfYB90H3gfaB9MHywfDB70Huwe7B78HwwfGB8YHwQe2B6YHkgd8B2oHXwdeB2sHiAezB+oIKghsCKoI3wkGCRsJHAkMCO0IwwiUCGcIPgggCAwIAwgECAsIFgggCCcIKQglCBsIDwgBB/UH7gftB/MIAAgSCCgIPwhVCGgIdwiACIQIgwh/CHkIcwhtCGgIZQhjCGEIYQhiCGQIZghrCHIIfQiLCJwIsQjICOAI+AkOCSAJLgk2CTkJNwkvCSQJFQkFCPMI4QjPCL0IqwiZCIgIdwhnCFgISwhACDgIMwgwCDEINAg6CEEISAhQCFcIXghkCGkIbQhvCHAIbwhtCGgIYQhYCE0IQQgyCCMIFAgFB/YH6AfbB84HwQe0B6cHmQeLB34HcgdoB2EHXQddB18HZAdqB28HcwdzB3EHagdhB1cHTgdIB0gHTwdgB3gHmQe/B+gIEAg0CFEIZQhuCG0IYwhSCD0IJggSCAEH9QfuB+sH7AfuB/AH8QfwB+4H6gflB+EH3wfeB90H2gfVB8gHsweSB2QHKQbiBpEGPAXmBZQFTAUQBOQEyAS9BL8EzQTjBP8FHAU6BVcFcgWLBaQFvAXUBesGAQYUBiIGKwYrBiQGFAX9BeEFwQWhBYIFaAVTBUMFOAUxBSwFJwUgBRUFBgTzBNwExASrBJQEfwRuBGAEVQRMBEQEOwQwBCEEEAP7A+UDzAO0A50DhwN0A2IDUQNAAy4DGgMBAuUCxgKkAoACXQI8Ah4CBgHzAecB3wHbAdkB2AHUAcwBwAGuAZUBeAFVATABCADfALcAkQBuAE0ALwAU//z/5f/P/7n/ov+I/2z/TP8p/wH+1f6l/nP+P/4L/dj9p/16/VD9Kv0I/On8y/yu/JD8b/xM/CX7+vvN+537bPs6+wr62/qt+oH6V/ot+gP52fmu+YL5Vfkp+Pz40Pim+H34Vfgv+Aj34Pe294j3Vfce9uP2o/Zh9h/13vWg9Wn1OfUR9PP03/TS9M30zvTR9Nf03PTf9N702fTQ9ML0r/Sa9IP0a/RT9Dz0J/QU9APz9PPm89nzy/O886vzmfOF83HzW/NG8zLzH/MP8wDy8vLl8tfyyPK28qHyiPJs8k7yMPIR8fTx2fHB8azxmfGG8XLxW/FA8SDw/PDV8K3wiPBn8E/wQ/BC8E/wZvCG8Kvwz/Du8QPxCvEC8OnwwfCM8E/wDu/N75LvX+837xvvCu8E7wXvC+8U7xzvIu8l7yPvHe8T7wPu7+7W7rnul+5x7kXuFe3j7a7tee1G7Rjs7+zN7LXspeye7J/speyw7LzsyezT7Nvs3uzd7NfszOy+7KzsmOyC7GrsUuw57B/sBevq68/rs+uX63rrXes/6yLrBOrm6sjqq+qO6nLqV+o86iTqDOn26ePp0unD6bfpreml6aDpnOmY6ZXpkumO6Yjpgul66XLpaelg6VfpTulF6T7pNukw6SrpJOkg6R3pHOke6SPpLOk66UzpY+l/6Z/pwunn6g3qNOpa6n/qourD6uHq/usZ6zLrS+tl63/rmuu269Lr7uwH7BzsKuwv7CfsEuvu67rreOsr6tXqfOol6dXpkOlb6TfpJekl6TLpS+lp6Yjpo+m46cTpxum/6bDpnOmF6W7pW+lM6ULpPek96T/pQulF6UXpQek56S7pHukL6Pfo4ejK6LXooOiO6H3ob+hj6FjoUOhK6EXoQuhA6D/oPug96DzoOug36DLoLOgj6BnoDOf95+zn2efF57DnmueE52/nWudH5zXnJOcV5wbm+Obq5tvmzOa85qzmm+aL5n3mcOZl5lzmV+ZU5lLmUuZS5lPmVOZT5lLmUeZQ5k/mT+ZR5lTmWOZd5mLmaOZt5nDmc+Z05nTmdOZz5nPmdOZ35nvmgOaH5o7mleac5qLmp+ar5q7msOay5rTmt+a85sHmyObQ5tjm4Obn5u7m9eb65v7nAucG5wrnD+cV5xznI+cs5zTnPedG507nVudd52Tna+dx53jngOeI55Dnmeej56zntufA58nn0+fd5+fn8ef86AfoE+gg6C3oO+hI6FfoZuh06ITolOil6Lfoy+jf6PTpCeke6TLpRelX6WbpdOl/6Yrpk+md6ajptOnD6dTp5un76g/qJOo46knqWOpl6m/qd+p+6obqj+qa6qnquurP6ubrAOsa6zTrTOtj63frieuZ66jrt+vG69br6Ov67A7sI+w37ErsXOxu7H7sjeyd7K/sxOzd7PrtG+1B7Wntk+297eXuCu4r7kjuYe537o3uo+677tju+e8g70vveu+p79fwAvAm8ELwV/Bj8GfwZ/Bj8F/wXPBd8GTwcPCC8JjwsfDM8OfxAfEY8SzxPvFO8V3xbPF78YvxnfGw8cTx1/Hq8fryCfIU8h3yJPIo8izyL/Iy8jfyPfJF8k/yWvJn8nTygvKQ8p3yqfK18sDyyfLS8tvy5PLt8vbzAfMN8xvzKvM680rzWvNq83nzhvOS853zqPOz88Dzz/Ph8/f0EPQs9Er0avSK9Kr0x/Tk9P71F/Uw9Un1ZPWA9Z71vvXd9fv2F/Yv9kL2UPZa9mD2ZfZp9nD2e/aL9qD2ufbU9vD3Cvcg9zH3O/dA90D3Pfc59zj3OvdC91D3Yvd595D3pfe498X3zffQ98/3zPfM99D32/fu+An4LfhV+ID4qfjO+Ov4//kJ+Qr5A/j4+Ov44fjb+Nv44vjw+QL5GPkt+UH5Ufld+WP5Zflk+WP5Yvlk+Wv5dfmE+Zb5qvm/+dH54vnw+fr6A/oL+hP6Hfor+jz6Ufpq+ob6o/rA+tz69fsM+x/7MPs/+0z7Wvtp+3r7jvuk+7z71vvx/Az8J/xB/Fr8cvyK/KH8uvzV/PL9Ev03/V/9i/26/ez+Hv5P/n/+rP7V/vn/Gf80/03/ZP96/5L/rP/I/+gACgAtAFEAcwCTAK8AxwDZAOgA8gD7AQEBBgEJAQsBCgEEAPcA4QDCAJgAZAAm/+P/nP9V/xL+1f6j/nv+X/5N/kT+Qv5E/kf+Sv5L/kr+Rv5B/jv+N/41/jf+Pf5G/lT+Y/50/oX+lv6m/rT+wf7N/tn+5P7w/vz/Cf8W/yL/Lv85/0L/Sf9P/1T/WP9b/17/Yv9n/23/c/94/33/gf+D/4P/gP98/3b/b/9n/1//WP9R/0v/Rv9A/zr/M/8r/yH/Ff8I/vn+6f7a/sr+vP6v/qP+mf6Q/oj+gf55/nL+av5h/ln+UP5J/kH+O/43/jT+M/4z/jT+N/46/j7+Q/5J/k/+V/5g/mr+df6B/o7+m/6o/rT+wP7L/tX+3v7m/u3+8/75/v//BP8K/w7/E/8Y/xz/If8l/yr/L/80/zr/P/9E/0f/Sv9L/0r/SP9F/0H/PP84/zX/M/81/zn/Qf9L/1j/aP96/47/pP+6/9L/6QABABkAMABHAF0AcQCEAJcAqQC8ANAA5wEBAR4BQAFmAY8BugHmAhECOQJcAnoCkAKgAqkCrQKtAqwCqgKqAqwCsgK7AsUC0gLfAuoC9AL7Av4C/gL8AvkC9gL1AvcC/gMMAyADOwNdA4YDtAPnBB4EVwSQBMgE/QUuBVoFfwWcBbEFvgXCBb4FswWiBYwFcwVXBTwFIgUKBPYE5wTcBNUE0wTUBNkE4QTqBPUFAgUPBNYE8AULBSgFRgVlBYMFoQW+BdoF8wYLBiAGMwZEBlMGYgZxBoAGkAagBq8GvgbMBtcG4AblBuYG5QbgBtoG1AbOBssGygbNBtQG3QboBvQHAAcLBxMHGgcfByIHJgcqBzAHOQdFB1MHYwdzB4EHjQeVB5gHlweSB4oHggd7B3cHdwd+B4oHmgetB8IH1gfnB/MH+gf8B/gH8QfnB90H0gfJB8AHuAewB6YHmgeLB3kHZgdSB0EHMwctBy8HOQdNB2gHhwepB8oH5Qf6CAcICwgHB/4H8gfmB9wH1gfWB9oH4QfqB/EH9QfyB+oH2gfGB60HlQd+B2wHYgdgB2YHcweFB5oHrwfBB88H1wfZB9YHzgfEB7gHrAejB5sHlgeUB5MHlAeXB5sHoAenB7EHvgfOB+MH+wgXCDQIUghuCIcInAisCLYIuQi3CLEIpgiaCI0IfwhyCGYIXAhTCEwIRQg+CDkIMwgtCCcIIQgbCBQIDggHB/8H9wfvB+cH3wfYB9IHzgfLB8oHywfNB9AH0wfWB9kH2gfZB9cH0gfLB8MHuAesB58HkQeDB3UHZwdcB1IHSwdIB0cHSQdNB1MHWQddB2AHXwdbB1MHSQc+BzQHLgcuBzUHRQdfB4EHqQfWCAQILwhUCHAIggiJCIUIeQhnCFEIOwgoCBkIDwgLCAsIDwgTCBcIGQgZCBUIDwgHB/0H8wfqB98H1AfFB7AHlQdwB0EHCAbGBn0GMAXiBZkFVgUfBPQE2ATKBMgE0wTnBQIFIwVHBW0FlAW7BeIGCAYsBksGZAZ1Bn0GegZqBlAGKwX9BcsFlgVjBTQFDATtBNUExQS7BLUEsASqBKEElASEBHAEWgRDBC4EGwQLA/8D9gPvA+kD4gPaA9ADwgOyA58DiwN4A2UDUwNDAzQDJgMXAwYC8gLaAr0CngJ7AlcCMwISAfQB3AHJAb0BtQGwAa0BqgGlAZsBiwF2AVoBOAERAOcAuwCOAGMAOQAT//D/0f+1/53/h/9y/17/Sf8y/xj+/P7b/rb+jf5h/jL+Af3Q/aD9cv1H/R/8/Pzb/L38ofyF/Gj8Svwp/AX73vu1+4n7XPsv+wL61fqo+n36Ufol+fn5zPme+XD5QvkU+Oj4vviV+G/4S/go+AX34fe695H3Yvcv9vf2vPZ99j71//XD9Yv1WfUv9Qz08vTf9NP0zfTM9M300PTS9NP00vTN9MX0uvSr9Jr0h/R09GD0TfQ79Cv0HPQO9ADz8vPi89Dzu/Ok84rzb/NS8zXzGPL88uLyyfKx8prygvJp8k7yMvIT8fPx0vGy8ZTxefFg8UvxOfEo8RfxBfDw8Njwu/Cc8HvwW/A/8CnwHPAa8CPwNvBR8HHwkvCu8MDwxvC78J/wc/A37/Dvo+9U7wruyO6S7mzuVu5P7lbuaO6C7qDuvu7a7u/u/O8A7vnu6e7P7qzug+5U7iLt7u287YztYe077R3tBuz27O3s6ezq7O7s8+z37Pns+ez17O3s4uzU7MTss+yg7I7se+xo7FXsQuwt7Bfr/uvl68jrquuK62nrSOsl6wPq4urC6qLqhepo6k7qNOoc6gbp8end6cvpu+ms6Z/plOmK6YLpe+l26XLpb+lt6WrpaOll6WDpW+lU6UvpQOkz6SbpF+kJ6Pvo7+jm6OHo4Ojj6Ozo+ekK6R/pNulQ6Wvph+ml6cTp5OoH6i3qV+qH6rvq9esz63Xruuv/7EPsg+y97O3tE+0r7TTtLe0T7OjsrOxg7Ajrpes96tPqbuoP6b3pe+lJ6SnpGekZ6SXpOulS6WvpgemS6Zzpnuma6ZDpgulz6WPpVelJ6T/pOOky6S3pJ+kh6RjpDukC6PTo5ejX6Mjou+iv6KXoneiW6JHojOiJ6IbohOiC6IDofuh86Hnodehw6GjoX+hS6EToMugf6Ann8+fb58TnrOeV54Dna+dY50bnNecm5xfnCub85vDm4+bY5szmwea25qzmouaZ5pHmieaC5nvmdeZu5mjmYeZb5lTmTeZH5kHmPeY75jvmPOZA5kXmTOZS5lnmX+Zj5mbmZ+Zn5mbmZuZm5mbmaeZu5nTme+aE5o3mlead5qPmp+aq5qzmreau5rDms+a45r7mxubP5tnm4ubr5vPm+eb95wDnAucD5wTnBucI5wznEecY5x/nKOcx5zvnROdN51XnXedl52znc+d754PnjOeV557nqOey57znx+fS593n6Of06AHoDegb6CjoNuhF6FXoZeh16Ifomeis6MDo1Ojp6P7pEekk6TbpRelT6V/paely6XvphOmO6Znpp+m36cjp3Onv6gPqFuon6jbqQ+pM6lXqW+pi6mrqc+p/6o/qouq56tLq7esK6yfrQ+td63bri+uf67Drv+vN69nr5evw6/zsB+wT7CHsMOxC7FfscOyN7K7s1e0A7S7tXu2P7cDt7e4X7jzuW+527o3uoO607sju3+787x7vRu9z76Xv2fAM8DzwaPCM8Kjwu/DG8MvwyfDF8MDwvfC88L/wx/DT8OLw8/EF8RfxJ/E08T7xRvFM8VDxVfFZ8WDxaPFy8X/xjfGb8anxt/HD8c3x1PHZ8dvx3PHd8d3x3/Hi8ejx8PH88gryG/Iu8kLyV/Js8oHylPKm8rjyyfLa8uzy/vMS8yfzPfNS82jze/OM85vzpvOv87XzuvO/88bz0PPe8/H0CfQl9ET0ZfSH9Kj0x/Tj9P31FvUt9UX1XfV39ZP1sPXO9er2BfYc9i/2PfZI9lD2V/Zf9mr2efaP9qn2yPbp9wv3KvdF91j3Zfdq92n3Zfdf91r3Wvdg9273gved97v32/f6+BX4LPg++Ev4Vfhe+Gf4c/iD+Jf4rvjI+OP4+/kO+Rr5H/kb+RH5Avjx+OH40/jM+Mv40vjf+PH5Bfka+S35PPlH+Uz5TPlJ+UP5Pvk6+Tn5O/lB+Un5VPlh+W75fPmK+Zn5qfm7+c/55/oB+h76Pfpd+n36mvq1+sz63/ru+vr7BfsP+xr7J/s3+0r7YPt4+5L7q/vF+9z78vwG/Bj8Kvw7/E78ZPx9/Jr8u/zh/Qr9Nv1k/ZP9wf3t/hf+P/5i/oP+ov7A/tz++f8X/zf/WP98/6D/xP/oAAoAKABEAFoAbgB9AIoAlQCeAKcArwC2ALoAugC0AKUAjABoADn///+7/3H/Jf7Z/pL+VP4g/fn93/3Q/cz9z/3Y/eL97P30/fj9+v34/fb98/3x/fH99f39/gf+Ff4l/jX+R/5X/mf+dv6E/pL+n/6s/rn+xv7T/uD+6/71/v7/Bf8K/w//E/8Y/xz/Iv8p/zH/Of9B/0j/Tf9Q/1H/T/9L/0X/P/84/zL/LP8o/yX/I/8h/x3/Gf8T/wr+//7y/uP+0/7D/rP+pf6Y/oz+gv55/nH+aP5g/lf+Tf5D/jn+Lv4l/h3+F/4S/hD+EP4R/hX+Gf4f/iX+LP41/j7+Sf5V/mL+cf6A/pH+of6x/sH+0P7d/un+9P7+/wf/D/8X/x3/JP8p/y7/Mv81/zf/OP85/zr/O/88/z7/QP9C/0P/RP9D/0H/Pv85/zP/Lf8o/yX/JP8m/y3/OP9H/1r/cP+J/6P/vv/Z//QADgAnAEAAWABwAIgAoQC5ANIA6wEEAR4BOAFSAW0BhwGiAb0B1gHuAgQCFwIoAjQCPgJEAkcCSQJKAkwCUAJWAl8CawJ6AooCmgKqArgCwgLJAswCywLIAsMCwAK/AsMCzALcAvQDEwM5A2UDlgPJA/4EMgRlBJUEwQTpBQwFKgVDBVYFYwVqBWsFZgVbBUsFNgUeBQME5wTLBLIEmwSIBHoEcgRvBHEEeQSFBJUEqAS+BK8EyQTlBQMFIwVDBWQFhAWjBcEF2wXzBggGGgYqBjcGRAZPBlsGZgZxBn0GiAaSBpoGoAakBqYGpQakBqIGoAagBqMGqQaxBr0GywbaBuoG+AcFBxAHGAcfByQHKQcuBzUHPgdJB1YHZQd0B4EHjAeUB5cHlgeTB40HhgeBB34HgAeHB5QHpQe5B88H5Qf4CAgIEggXCBYIDwgEB/YH5gfVB8QHswejB5MHgwdzB2MHVQdIBzwHNAcwBzAHNQc9B0cHVAdgB2wHdgd9B4IHhQeIB4sHkQeZB6UHtAfFB9cH5gfyB/cH9QfpB9YHvAedB30HXQdCBy8HIwcgByYHMwdEB1gHawd7B4YHjAeMB4cHfQdxB2QHWAdMB0IHOwc1BzEHLgcsBywHLQcwBzcHQQdQB2QHfQeZB7kH2Qf5CBYILwhDCFAIWAhZCFUITghFCDoILwgmCB8IGQgWCBMIEggSCBEIDwgMCAgIAgf7B/IH5wfaB80HvgevB58HkQeEB3gHbwdqB2cHaAdrB3EHeAeAB4cHjQeRB5IHkQeMB4QHeQdsB14HUAdCBzQHKQchBxsHGAcYBxoHHgcjBygHLActBywHKAciBxkHEAcHBwEHAAcFBxIHJgdCB2UHjQe2B98IBAgjCDsISQhOCEsIQQgzCCMIEwgGB/wH9wf3B/oH/wgECAkIDAgMCAkIAgf5B+4H4QfTB8IHrweZB34HXQc1BwYGzwaSBlEGDgXMBY0FVQUmBQEE6ATbBNkE4gT0BQ4FLgVUBX0FqAXWBgMGLgZVBnYGjwaeBqAGlgZ+BlkGKgXzBbYFeQU9BQcE2ASyBJUEgQRyBGgEYARZBE8ERAQ1BCQEEQP/A+0D3QPQA8YDvgO3A7EDqwOjA5gDiwN7A2oDWANGAzUDJQMWAwkC+wLtAtwCyQKxApYCdwJVAjICDwHuAdABtgGiAZIBhgF9AXUBbQFjAVYBQwEsAQ8A7QDHAJ4AcwBIAB7/9v/Q/67/jv9y/1j/QP8p/xL++/7i/sf+qv6J/mb+P/4W/ev9v/2T/Wj9P/0Y/PT80/y0/Jb8evxd/D/8IPv/+9z7tvuP+2f7PvsV+uv6wvqY+m76Q/oX+er5vPmM+Vz5LPj9+M/4pPh7+Fb4MvgQ9+73zPen94D3VPck9u/2uPZ99kL2B/XO9Zj1aPU+9Rv0//Tp9Nr00PTL9Mj0yPTJ9Mn0yPTE9L70tfSp9Jr0ifR29GP0UPQ+9C70HvQP9AHz8/Pj89LzvvOm84zzbvNO8yzzCvLn8sbypvKH8mryTfIx8hXx+PHa8bzxnvGA8WPxR/Eu8RjxA/Dw8N3wyvC18J7whfBq8E7wMvAa8Ajv/e/68ALwEvAp8EXwYfB68Irwj/CF8GrwPvAD77vvbO8Z7sjuf+5B7hPt9+3s7fLuBu4m7k3udu6e7r/u2O7l7uXu2O6+7prube467gTtzu2b7W3tRu0o7RHtA+z87Pvs/e0C7QftC+0L7QjtAOz07OXs0+y/7KrsleyB7G7sXOxK7DnsJ+wV7AHr6uvS67brmet561frNOsR6u3qy+qp6ojqaepM6jHqF+oA6evp1+nE6bTppOmW6Ynpful06WvpZOle6VnpVulU6VLpUOlO6UrpROk86THpI+kT6QLo7+je6M7owei56LbouejB6M/o4Oj16QzpIuk56U7pYul16Yrpoem96d/qCupA6oDqy+sg633r3+xD7KPs/e1M7Yvtt+3P7c/tt+2I7UPs7OyG7BXrnesl6rHqRunn6ZjpWekt6RLpBukI6RPpJOk46UvpXOlo6XDpcelu6WjpX+lV6UvpQuk66TPpLeko6SLpGukS6Qjo/ejx6OXo2OjN6MPouuiz6K3oquin6KXopOij6KLoouih6J/oneia6Jboj+iF6HnoaehW6EHoKegP5/Pn2Oe+56Tnjed352TnUudC5zPnJecW5wjm++bt5uDm1ObI5r/mt+ay5q7mrOaq5qrmqOal5qHmm+aR5obmeeZr5lzmTuZB5jfmMOYs5izmL+Y05jzmROZN5lTmWuZd5l/mXuZc5lnmV+ZW5lfmWuZg5mnmc+Z+5ormluag5qnmr+a05rfmuOa55rrmvOa/5sTmyubR5tnm4Obo5u7m8+b35vnm+ub75vvm/Ob+5wHnBecL5xPnG+ck5y7nN+dB50nnUuda52Lna+dz53znhueR55znp+ez577nyefU593n5+fw5/noAugL6BboI+gx6EHoVOhp6IDomOiy6Mzo5uj+6RXpKek76UnpVele6WXpa+lw6XbpfemF6Y/pnOmq6brpy+nc6e3p/eoL6hnqJOov6jrqRepR6mDqceqE6pvqterR6vDrEOsw60/rbuuL66XrvevR6+Hr7uv46/7sA+wG7AnsDOwT7B3sLexD7GHshuyz7ObtH+1a7Zbt0O4H7jfuYO6C7pvur+697snu1O7j7vbvD+8w71fvhe+37+zwIfBT8IDwp/DF8Nzw6/D08Pfw+PD38Pfw+fD+8QbxEfEe8S7xPfFM8VnxY/Fq8W/xcfFx8W/xbfFs8WvxbPFu8XHxdvF78YDxhfGJ8Yvxi/GK8YjxhfGD8YHxgvGG8Y3xmfGp8b7x1/H08hLyMvJS8nHyj/Kr8sby3vL18wzzIvM4807zZPN5847zoPOx877zyPPQ89bz2/Ph8+jz8vQA9BL0KfRC9F/0fPSZ9LT0zvTl9Pn1C/Ud9TD1RPVa9XL1jfWp9cb14fX69hD2I/Yy9kD2TPZa9mr2f/aY9rb22fb+9yT3SPdo94L3lfei96n3q/es96z3sPe498X32ffx+A74LPhJ+GX4fviS+KP4sPi8+Mb40fje+Ov4+vkK+Rj5JPkr+S75LPkl+Rv5D/kE+Pz4+fj8+QX5Ffkp+UD5WPlu+YD5jPmS+ZH5i/mA+XL5YvlU+Uf5Pfk2+TL5M/k2+T35RvlU+WX5evmU+bL51Pn5+iD6SPpu+pL6sfrK+t/67fr3+v77A/sI+xD7Gvso+zn7Tvtl+337lvut+8P71vvo+/n8Cfwb/C/8Rvxg/H/8ofzG/O39Ff0+/WX9iv2t/c/97v4M/ir+Sf5o/on+rP7R/vf/Hv9E/2n/jP+r/8f/3v/yAAMAEgAfACsAOABFAFIAXwBqAHEAcgBrAFkAPQAU/+D/of9b/w/+wv53/jL99v3F/aH9iP17/Xf9ev2C/Yv9lP2c/aH9o/2k/aP9o/2j/ab9rP21/cD9zv3d/e39/P4M/hr+KP42/kP+UP5e/mz+ev6I/pX+of6s/rX+vf7D/sf+zP7Q/tX+2/7i/ur+8v76/wH/Bv8K/wv/C/8I/wT/AP77/vj+9f70/vT+9P70/vT+8v7u/uj+3/7V/sj+u/6u/qH+lf6L/oL+ev5z/mz+Zf5d/lT+S/5B/jj+L/4o/iL+Hv4d/h7+IP4k/in+L/41/j3+RP5N/lf+Yv5v/n/+kP6i/rX+yf7d/vD/Av8T/yL/Lv86/0T/Tf9U/1v/YP9k/2f/aP9o/2b/Y/9f/1v/Vv9S/0//TP9K/0j/R/9E/0H/Pf85/zP/Lv8r/yn/Kv8v/zj/R/9Z/2//if+k/8D/2//2AA8AJgA9AFIAZwB9AJQArQDIAOQBAgEgAT0BWQFzAYoBnQGsAbcBvwHDAcUBxQHDAcIBwQHBAcQByQHQAdsB6QH7Ag4CJAI6AlECZgJ5AokClQKdAqICpAKkAqMCowKmAq0CuQLLAuMDAQMkA0wDdgOjA9AD/QQoBFAEdwSaBLoE2ATxBQgFGwUpBTMFNwU2BTAFJAUUBQAE6QTQBLcEoASLBHkEbARkBGEEYwRqBHYEhQSZBIEEjASbBK8ExwTjBQEFIgVDBWMFggWeBbcFzQXfBe4F+gYEBg0GFQYeBicGLwY4BkAGSAZPBlQGWAZbBl0GYQZlBmoGcgZ8BokGlwamBrUGxAbSBt4G6AbwBvcG/QcDBwoHEgccBycHMwc/B0sHVQddB2MHZgdnB2YHZQdkB2UHaQdvB3oHiAeYB6kHuwfLB9kH4wfpB+sH6AfhB9cHyge8B6sHmweKB3oHagdcB08HRAc8BzYHMwcyBzUHOQc/B0UHTAdSB1YHWgdcB14HYQdlB2wHdgeEB5QHpwe6B8sH2QfhB+MH3AfOB7kHngeAB2IHRgcvBx4HFQcUBxoHJQc0B0UHVQdiB2wHcQdyB28HagdiB1kHUAdHBz8HNwcvBycHIAcYBxEHDAcJBwkHDgcYBygHPQdWB3MHkAeuB8kH4QfzCAAIBwgJCAYIAQf5B/EH6gfkB+EH3wffB+AH4QfjB+MH4gfeB9kH0QfIB7wHrwegB5EHggdzB2QHVgdLB0IHPAc4BzgHOgdAB0YHTgdWB10HYwdlB2UHYgdbB1IHRgc4BykHGwcNBwEG9wbvBukG5gblBuQG5QbmBuYG5QbjBuAG2wbVBs8GygbGBsUGxwbOBtkG6Ab8BxMHKwdEB1wHcgeEB5AHmAebB5oHlgeQB4kHhAeAB34HfweCB4cHjQeTB5gHnAeeB54HmweWB44Hgwd2B2UHUAc1BxUG7wbDBpEGWgYfBeQFqQVyBUAFFQTzBNsEzQTIBMwE1wTpBQAFHAU6BVoFfAWeBcAF3wX7BhEGIQYpBicGGwYEBeQFvAWNBVsFKAT3BMoEogSABGUEUARABDMEKAQdBBIEBQP3A+gD2QPKA7wDsAOmA54DmAOSA4sDhAN7A28DYgNTA0IDMgMhAxIDAwL2AukC3QLPAsACrgKZAoECZQJHAigCCAHqAc4BtAGeAYwBewFtAV8BUAFAASwBFQD5ANoAtwCRAGkAQAAX/+//yf+l/4P/ZP9H/yz/Ev75/uD+xv6r/o3+bv5M/in+A/3c/bX9jf1m/UH9Hfz7/Nv8vPyf/IH8ZPxG/Cb8Bfvi+737mPtx+0r7JPr9+tf6svqM+mX6PvoV+er5vfmQ+WH5M/kG+Nn4sPiI+GP4P/gd9/r31feu94T3Vvck9u/2tvZ89kL2CfXT9aL1dfVP9S/1FPUA9PH05vTe9Nj01PTQ9Mv0xfS99LL0pfSV9IP0b/Ra9EX0L/Qb9Afz9fPk89Pzw/Oy86Dzi/N181vzP/Mh8wHy4PLA8qDygvJm8kvyMvIa8gLx6vHS8bjxnvGD8WfxTPEy8Rjw//Do8NHwu/Ck8Izwc/Ba8EDwJ/AR7/7v8O/p7+nv7+/88AzwHvAv8DrwPfA18CDv/u/O75PvUO8I7sDue+4/7g7t6+3Y7dTt3u307hPuNu5a7nvule6l7qruo+6P7nHuSe4b7ejtte2D7VXtLu0O7Pbs5ezc7Njs2ezb7N/s4Ozg7Nzs1OzJ7LvsqeyW7ILsbexZ7EXsMewf7Azr+evm69Hru+uj64jrbetP6zDrD+ru6s3qrOqM6m7qUOo16hvqBOnu6dvpyem56arpnemQ6YXpeulw6WjpYOla6VXpUelO6UzpSulH6UPpPek06SnpG+kL6Pro6ejY6Mvowei96L7oxejS6OPo+ekQ6SnpQOlV6WnpeumK6ZvprunG6ebqD+pD6oPq0Osm64Tr6OxM7KztBO1P7Yjtre287bLtkO1X7QvsrexD69LrXerr6n7qHenI6YLpTeko6RHpB+kH6Q/pG+kp6TXpQOlH6UnpSelF6T7pN+kv6SfpIekc6RfpFOkR6Q7pCukF6P/o+Ojx6Ono4ejZ6NHoyujE6L7ouei16LHoreiq6Kfopeii6J/om+iW6I/ohuh66GvoWehE6C3oE+f559/nxueu55jnhedz52PnVOdF5zfnKOcY5wfm9ebk5tTmxea55rHmrOaq5qvmr+az5rjmu+a85rnms+ao5prmieZ25mPmUuZD5jjmMeYv5jLmOOZC5k3mWOZj5mvmcOZy5nHmbeZo5mLmXeZZ5ljmWuZg5mnmdOaB5o/mneaq5rXmvebD5sfmyObI5sfmxubF5sbmx+bK5s7m0+bY5t3m4ubm5urm7ebx5vTm+Ob85wLnCOcQ5xjnIecp5zLnOudB50jnT+dV51znY+dr53TnfueJ55Xnoeeu57nnxefO59fn3ufl5+vn8ef56ALoDugd6DDoRuhg6Hzomui46Nbo8+kM6SLpNOlC6UzpU+lX6VrpXelg6WXpbel26YLpkOmf6bDpwenS6ePp8+oD6hPqI+o16knqX+p46pTqsurT6vbrGus/62Prh+up68rr6OwD7BvsL+w/7EzsU+xX7FjsVuxS7E7sTexQ7Frsa+yG7Kvs2u0R7U/tku3V7hbuUu6G7rDuz+7l7vLu+O777v3vAu8M7x7vOO9b74Tvs+/k8BbwRPBv8JLwrvDD8NHw2vDf8OPw5/Dt8PXxAfEQ8SLxNvFK8V3xb/F/8YvxlfGb8Z/xofGh8Z/xnfGb8ZjxlPGQ8YvxhfF+8XbxbvFl8VzxVPFM8UbxQvFC8UXxTPFY8WnxfvGY8bfx2fH+8iXyTPJz8pnyvPLd8vzzGPMy80rzYPN184nznPOu87/zzvPc8+fz8fP59AD0B/QP9Bj0JfQ09Eb0WvRx9In0oPS29Mr02/Tq9Pb1AfUL9Rb1JPU09Uf1XvV39ZL1rfXH9eD1+PYN9iD2M/ZG9lv2c/aP9q720fb19xv3Qfdk94T3n/e298j31/fk9/D3/fgL+Bz4MPhF+Fv4cviH+Jv4rPi5+MX4zvjX+N/46Pjx+Pz5B/kR+Rr5Ivkm+Sj5J/kk+SH5Hvkf+ST5Lvk++VP5bfmJ+aX5v/nV+eX57vnv+en53fnM+bj5ovmN+Xr5aflb+VL5TPlK+U35VPlg+XH5h/mj+cT56foS+jv6ZfqN+rD6zvrm+vf7A/sJ+wz7DvsQ+xT7G/sn+zf7S/ti+3v7lfuv+8j74Pv3/A78Jfw9/Ff8cvyR/LH80vz0/Rb9Nv1U/W/9iP2g/bb9y/3i/fv+F/42/ln+f/6o/tH++v8h/0X/Zv+B/5f/qP+2/8H/yf/R/9n/4f/p//H/9//7//n/8f/g/8f/o/92/0H/Bf7F/oT+Rf4J/dX9qf2G/W39XP1S/U79Tv1P/VD9Uf1R/U/9Tf1L/Ur9S/1P/VX9X/1r/Xr9if2Y/af9tf3C/c391/3i/ez99/4E/hH+H/4t/jz+Sf5V/l/+aP5u/nP+d/57/n/+g/6J/o/+lv6d/qT+qv6v/rL+tP60/rT+s/6z/rP+tP61/rj+u/69/r/+v/6+/rv+tv6w/qn+ov6b/pT+jv6K/ob+gv5//nv+dv5x/mv+ZP5d/lb+UP5M/kr+Sv5M/lD+Vf5b/mL+aP5v/nb+ff6F/o/+m/6p/rn+zP7g/vf/Dv8k/zr/T/9h/3H/f/+L/5T/nP+i/6b/qf+q/6r/qP+j/53/lv+N/4P/ef9w/2j/YP9b/1b/Uv9P/0z/Sf9G/0P/QP8//0D/RP9L/1b/Zf94/4//qP/B/9v/9AALAB8AMQBBAE8AXgBtAH4AkgCpAMIA3gD6ARYBMAFHAVoBZwFvAXEBbwFqAWIBWgFSAU4BTQFQAVkBZgF4AY4BpwHDAeAB/QIZAjQCTAJhAnMCgQKNApYCnAKiAqcCrQK0Ar0CyQLZAuwDAwMdAzsDWwN9A6ADxAPqBA8ENQRZBH0EoATBBOAE+wUSBSUFMwU7BT4FOwU0BSgFGQUHBPQE4QTNBLsEqgScBI8EhQR9BHkEeAR6BEIEOAQ1BDkERQRYBHMEkgS2BNoE/gUgBT4FVwVqBXkFgwWKBY8FkgWWBZsFoQWqBbQFwAXNBdoF5wXzBf8GCQYUBh0GJwYxBjwGRwZTBl8GawZ3BoMGjQaXBp8GqAavBrcGwAbJBtIG3AbmBvEG+gcDBwsHEgcXBxsHHgchByQHKAcsBzEHNwc+B0YHTgdVB1wHYgdnB2oHbAdsB2oHZwdiB1wHVAdLB0EHNgcsByIHGQcSBw0HCwcLBw4HEgcYBx4HJQcqBy8HMwc1BzgHOgc9B0EHRwdPB1kHZAduB3cHfQd/B3wHdQdpB1gHRQcxBx0HCwb9BvQG8AbxBvYG/wcJBxMHHQclBysHLwcxBzEHLwctBysHKAcmByMHHwcaBxQHDAcEBvsG9AbuBuwG7Qb0BwAHEQcmBz4HVwdwB4YHmgeoB7IHuAe4B7YHsQesB6cHowehB6EHpAenB6sHrwexB7IHsAesB6UHmgeOB38HbwdeB00HPActByAHFQcMBwcHBgcHBwwHFAceBykHNAc/B0gHTwdTB1MHUAdKB0AHNAcnBxgHCgb8Bu4G4wbYBs8Gxga/BrgGsgatBqcGogadBpkGlgaUBpMGkwaTBpUGmAabBp8GogalBqgGqgasBqwGrAarBqoGqQaoBqcGqAapBqsGrgayBrcGvAbBBsYGywbQBtQG2QbdBuEG5QbnBugG5gbfBtMGwQanBoYGXQYtBfgFvwWFBUwFFgTnBMAEogSOBIQEggSIBJQEpAS1BMgE2QTqBPkFBQUQBRkFIQUmBSkFKgUnBSAFFQUGBPME3ATCBKYEiQRuBFMEOwQlBBMEAgP0A+YD2QPMA78DsQOjA5UDiAN7A3ADZwNfA1gDUwNNA0gDQQM5AzADJgMaAw4DAgL2AusC4ALXAs0CwwK3AqsCnAKKAnYCYAJJAjACGAIBAeoB1gHDAbIBogGRAYABbQFWAT0BHwD9ANgArwCEAFgAK//+/9P/qf+D/17/Pf8e/wH+5v7L/rD+lf56/lz+Pf4c/fr91/2z/Y/9a/1I/Sf9B/zo/Mv8rvyR/HT8Vvw2/BT78fvM+6X7f/tY+zL7Dfrp+sX6o/qA+l36OvoV+e/5x/me+XX5TPkj+P342Pi0+JL4cPhO+Cr4BPfa96z3efdD9wn2zPaQ9lT2G/Xm9bb1jPVo9Ur1MfUd9Q30//Ty9OX02fTL9L30rPSb9Ij0c/Re9Ej0MfQa9ATz7fPX88HzrPOX84LzbfNX80DzKfMQ8vby3PLB8qfyjfJ18l7ySvI38ibyFvIG8fbx5fHR8bvxo/GJ8W3xT/Ey8RTw+PDe8MTwrfCW8IDwavBT8DzwJfAO7/fv4+/R78LvuO+x767vru+v76/vrO+l75fvge9j7z3vD+7c7qbucO497g/t6u3O7b3tt+287crt3u327hDuJ+457kXuSO5B7jHuF+317c3toe107UftHez37Nfsvuyr7J7sluyS7JDskOyQ7I/si+yF7Hvsb+xg7E/sPOwn7BLr++vl683rtuuf64brbutV6zvrIOsG6urqz+qz6pjqfupk6kzqNeog6gzp+unq6dvpzem/6bPppuma6Y/pg+l46W7pZeld6VfpUulP6U3pS+lJ6UbpQuk76TLpJukZ6Qro++jt6OLo2ujW6Njo3+js6P3pEeko6UHpWuly6Ynpoem46dHp7eoO6jTqY+qZ6tfrHetp67jsB+xU7Jrs1u0E7SPtMO0q7RHs5uyr7GLsDeuy61Lq8+qY6kPp9+m26YDpV+k66SfpHukb6R7pI+kp6S/pMukz6THpLekm6R3pFOkK6QLo+uj16PDo7ujs6Ozo7Ojs6O3o7Ojs6Oro5+jj6N7o2OjS6Mrow+i66LLoquij6JzoleiO6IjogOh46G7oY+hV6EXoMuge6Ann8ufc58fntOei55Hng+d152jnWudM5zznKucW5wHm7ObX5sTmtOan5p7mm+ab5p/mpuat5rTmuea75rnms+ap5pvmiuZ55mjmWuZP5kjmR+ZK5lLmXeZq5njmheaP5pfmmuaa5pbmj+aH5n7mduZw5m3mbeZx5nnmg+aP5pzmqua15r/mxubL5s3mzebK5sfmxObB5r/mv+a/5sHmxebK5s/m1Oba5uDm5+bt5vPm+ucB5wnnEeca5yLnKucy5zrnQOdG50rnTudS51bnW+dg52fncOd654Xnkeee56vnt+fD583n1+fg5+jn8Of66AXoE+gj6DfoTehl6IDomui16M3o4+j16QTpD+kX6RzpIekl6SrpMek86UrpW+lv6Ybpnum36c/p5+n+6hPqKOo96lPqauqF6qPqxOro6xDrOutl65HrvOvk7AvsLuxO7GvshOya7K3svOzJ7NHs1uzX7NXs0ezM7MfsxOzG7M/s4ez87SLtUe2J7cfuCO5I7oXuu+7n7wnvIO8t7zHvMe8u7y3vMO8570vvZe+G767v2PAD8CzwUPBu8IXwlfCf8KTwp/Cq8K7wtfDA8NDw4/D68RLxKvFC8VfxavF58YbxkPGY8Z7xpPGp8a3xsPGy8bLxr/Go8Z7xkPGA8W3xWfFG8TTxJvEb8RfxGPEf8S3xQfFa8XjxmvG/8ebyDvI28l/yhvKs8tDy8/MT8zLzTvNp84LzmvOx88Xz2fPr8/v0CvQW9CH0KvQz9Dv0Q/RN9Fj0ZfR09Ib0mfSt9MH01PTm9PT1APUK9RD1FvUb9SD1J/Ux9T31TfVg9XX1jfWl9b311fXs9gP2GfYw9kf2X/Z59pX2s/bT9vP3FPc091P3cfeN96f3wPfY9+/4Bvgd+DP4Sfhd+HD4gfiP+Jv4pPir+LD4tvi8+MP4y/jV+OD46/j3+QH5CfkP+RL5FPkU+RX5GPke+Sj5N/lL+WL5ffmZ+bT5zfnh+fD5+Pn5+fX57Pnf+c/5v/mw+aL5lvmN+Yf5hPmE+Yf5jvma+an5vfnW+fT6FPo4+lz6gfqi+sD62frr+vj6//sC+wP7AvsD+wb7Dfsa+yv7Qftc+3n7mfu6+9z7/fwe/D/8YPyA/KL8w/zl/Qf9J/1F/WH9ef2O/Z/9rf26/cX90f3f/fH+B/4h/kD+Y/6K/rH+2f7//yL/Qf9b/3D/gP+M/5P/mP+a/5n/lv+Q/4f/ev9o/1D/Mf8N/uL+s/6A/kv+Fv3k/bb9jv1s/VP9Qf01/S/9LP0r/Sv9Kv0m/SH9Gf0R/Qj9APz6/Pj8+vz//Qn9Fv0l/TX9Rf1U/WH9bf12/X39hP2L/ZL9mv2l/bD9vf3L/dn95/3z/f7+Bv4N/hL+Ff4Z/hz+IP4k/in+MP42/j3+Q/5J/k7+Uv5W/ln+XP5f/mL+Zv5r/nD+df56/n/+gv6E/oX+hv6F/oT+g/6D/oP+hP6G/oj+if6L/ov+i/6J/ob+g/5//n3+e/57/n3+gP6G/oz+lP6b/qP+q/6y/rr+wv7K/tX+4f7w/wH/Ff8r/0L/Wv9x/4f/m/+t/7z/yP/S/9n/3v/i/+T/5P/i/9//2v/T/8r/wP+0/6f/mv+O/4P/ev9z/23/av9n/2b/Zf9k/2P/Y/9k/2X/af9v/3j/hf+V/6f/vP/R/+b/+gANABwAKQA0AD0ARQBOAFgAZAByAIQAlwCtAMIA1wDpAPgBBAELAQ4BDwENAQsBCgELARABGgEpATwBVAFvAY0BrAHLAekCBgIgAjgCTQJgAnECgQKPAp4CqwK5AscC1QLjAvIDAAMPAx4DLgM/A1IDaAN/A5oDuAPZA/0EJARMBHQEnATDBOcFBwUiBTgFSAVTBVkFWgVYBVEFSQU+BTIFJAUVBQQE8gTeBMcEsASXBH4EZwRTBBED9wPlA94D4QPvBAcEJwRMBHQEnATCBOME/QURBR0FIwUkBSIFHwUcBRwFHwUmBTIFQgVVBWoFgQWXBawFvwXQBd8F6wX2Bf8GCAYQBhkGIwYtBjgGRAZQBl0GaQZ0BoAGiwaVBp4GpwawBrkGwQbIBtAG1wbdBuMG6AbsBu8G8QbyBvIG8QbvBu0G6gboBucG5gbmBugG6wbvBvQG+Ab9BwEHAwcDBwEG/gb5BvMG7AbmBuAG3AbaBtoG3AbfBuQG6QbvBvQG+Ab7Bv0G/gb+Bv8G/wcABwAHAQcCBwEHAAb9BvgG8QbpBuAG1gbMBsMGvAa4BrUGtQa3BroGvQbBBsQGxwbIBskGyQbJBskGygbMBs4G0QbUBtcG2AbXBtUG0AbLBsQGvQa5BrYGuAa9BscG1gboBv0HEgcoBzwHTQdaB2MHaAdqB2gHZQdiB18HXQddB18HYwdpB28HdQd6B30HfQd7B3UHbAdgB1EHQActBxkHBgb0BuQG1wbOBskGyAbMBtUG4QbwBwIHEwckBzQHQAdJB00HTQdJB0EHNQcoBxkHCQb5BukG2gbLBr0GsAakBpgGjAaCBnoGcgZtBmoGaQZqBm0GcQZ1BngGegZ5BnQGbAZgBlEGQAYtBhkGBgX1BecF3QXWBdQF1QXZBd4F5QXrBfEF9gX5BfwF/gYABgMGCAYOBhcGIQYrBjUGPAY+BjsGLwYbBf0F1gWnBXIFOgUBBMsEmgRxBFEEPAQyBDEENwREBFQEZARzBH8EhgSIBIUEfgR0BGcEWARKBD0EMQQmBB0EFAQNBAUD/QP0A+oD4APVA8oDvgOyA6cDmgOOA4IDdQNoA1oDTAM/AzIDJQMaAw8DBgL+AvgC8wLuAukC5QLgAtwC1wLRAswCxwLBArsCtgKvAqgCoAKWAooCfgJvAmACTwI/Ai4CHwIQAgIB9gHpAd4B0QHCAbEBnAGEAWYBRAEdAPIAwwCRAF0AKf/1/8P/kv9k/zr/E/7v/s7+r/6T/nf+XP5C/ib+Cv3s/c79rv2O/W79Tv0v/RD88vzV/Lj8m/x9/F38Pfwa+/f70fur+4T7Xvs4+xP68PrO+q76jvpv+k/6L/oN+er5xvmh+Xz5WPk0+RP48vjU+LX4l/h4+FX4L/gF99X3ofdo9yz27fav9nL2OPYD9dT1qvWG9Wj1TvU39SH1DfT49OH0yvSx9Jf0fPRh9Eb0LPQU8/3z5vPS873zqfOU83/zaPNR8zfzHPMA8uPyxfKo8ovycPJX8kHyLvIe8hHyBvH98fbx7vHl8drxzfG78abxjPFw8VDxMPEO8O7w0PCz8JrwhPBw8F7wTPA68CfwE+/87+Lvx++r74/vdO9a70PvMO8g7xLvB+787vHu5O7T7r/upe6G7mPuPe4W7e/tyu2q7ZHtf+127Xbtfu2M7Z/tte3L7d7t7e307fPt6e3W7brtl+1u7UPtFuzq7MLsnuyA7GnsV+xM7EbsQ+xC7ELsQuxA7DvsM+wn7BjsBuvx69nrv+uk64nrbetR6zbrG+sA6ubqzeq16p3qhupx6lzqSeo46ijqGuoN6gLp9+nt6ePp2OnN6cHptOmn6Znpiul86W/pY+lZ6VHpS+lH6UXpROlC6UHpPuk56TLpKeke6RHpBOj36Ovo4ujc6Nro3Oji6Ozo++kM6SHpOOlS6W/pj+mz6dvqCOo66nHqrOrs6y/rcuu06/LsKuxZ7H7sluyh7J7sjexu7ETsEOvU65LrTOsF6r7qe+o86gPp0emm6YLpZulR6UPpOek16TPpMukz6TPpMukv6SrpIukZ6Q7pAej16Ono3+jW6M/oy+jJ6MrozejS6Nfo3ejj6Ofo6ujs6Oro5+jh6Nro0OjF6Lroruih6JXoiuh+6HLoZuhZ6EvoPOgs6BvoCOf25+Pn0efA57DnoueW54rnf+d052jnWudK5zjnI+cN5vbm3ubI5rXmpeaZ5pLmj+aR5pbmnOak5qrmr+ax5q/mqeah5pbmieZ95nPma+Zn5mfma+Zz5n7mi+aY5qTmr+a25rrmu+a35rHmquah5pjmkeaM5onmiuaN5pPmm+ak5q3mtea85sLmxebG5sbmxObB5r/mvea85rzmvebA5sTmyubP5tbm3Obh5ufm7Obx5vbm+ucA5wbnDOcT5xvnIucq5zHnOOc+50PnSOdM51DnVeda52DnZ+dx53zniOeV56PnsufB58/n3efq5/foA+gQ6B3oK+g66EnoWuhr6Hvoi+ia6Kfosei66MDoxujM6NTo3ujr6P7pFeky6VPpeOmg6cnp8eoY6jzqXup76pbqr+rH6uDq++sY6zjrXOuD663r1+wC7CvsUux27JbssuzL7OHs9O0G7RbtJe0y7T3tR+1O7VLtVO1U7VTtVO1Y7WDtbu2E7aPtye327inuXu6T7sXu8e8V7zHvQ+9O71LvU+9T71XvXO9p733vl++379rv/vAh8EHwW/Bu8Hzwg/CG8Ifwh/CI8I3wlvCj8LTwyPDe8PXxC/Ef8TDxP/FL8VbxX/Fp8XTxgPGN8ZrxpvGv8bXxtvGx8abxlfF/8WXxS/Ex8RrxCfEA8P/xB/EZ8TLxU/F58aPxz/H78ibyT/J28pryu/Lb8vjzFfMx80zzaPOE86DzvPPX8/H0CfQf9DP0RfRU9GH0bPR29H/0ifST9J/0rPS89M303/Ty9Qb1GPUo9Tf1QvVL9VL1VvVZ9Vz1X/Vj9Wn1cfV89Yn1mPWq9b310fXl9fr2D/Yk9jn2T/Zl9nv2kfao9sD21/bw9wn3I/c+91r3d/eV97P30ffu+Ar4JPg6+E34Xfhp+HH4d/h7+H/4hPiK+JL4nPip+Lf4xfjU+OD46vjy+Pf4+fj6+Pr4+/j++QT5Dvkc+S35QflX+W35gfmT+aL5rfm0+bj5uPm3+bX5svmw+a/5r/mw+bP5t/m8+cP5y/nW+eT59foJ+iH6O/pX+nP6j/qo+r76z/rc+uP65vrm+uX64/rk+uj68fr/+xT7LftN+3D7lvu+++f8D/w4/GD8h/yt/NP8+P0b/T39XP15/ZL9p/24/cX9zv3V/dv94f3o/fH9/v4Q/iX+P/5d/n3+n/7C/uP/Av8d/zb/Sf9Y/2L/Z/9l/17/UP87/x/+/P7S/qL+bf4z/fj9vP2D/U/9Ifz8/N/8zPzC/MD8xPzM/Nf84fzp/O787/zs/OX82/zQ/MX8vfy3/LX8uPy//Mr81/zm/PX9A/0P/Rn9Iv0o/S39Mf02/Tz9Q/1N/Vj9ZP1x/X39if2U/Z39pf2r/a/9s/22/bn9vf3C/cj9zv3V/dv94v3o/e398v32/fr9//4E/gn+EP4X/h/+KP4w/jj+P/5F/kv+T/5U/lf+W/5g/mX+a/5x/nf+ff6C/of+i/6O/pH+kv6U/pb+mv6e/qT+q/6z/r3+x/7Q/tr+4/7s/vX+/v8I/xP/IP8v/0D/U/9o/33/kv+n/7r/yv/Z/+T/7f/0//n//P/+//7//v/7//j/8//s/+P/2P/M/8D/s/+n/53/lf+P/4v/if+J/4v/jP+O/4//kP+R/5H/kv+U/5j/nv+n/7L/v//O/97/7f/7AAgAEwAbACIAJwAsADAANgA9AEYAUABdAGoAeQCHAJUAoQCuALkAxADRAN4A7gEBARcBMQFNAWwBjAGtAcwB6QIEAhsCLwJAAk8CXQJqAngCiQKbArACxwLhAvsDFQMvA0cDXANvA38DjgObA6gDtgPGA9oD8gQOBC4EUgR4BJ8ExQTpBQoFJgU8BUwFVwVdBV8FXgVaBVUFUAVLBUQFPQUzBScFFgUBBOYExwSkBH4EVwQyA/AD0QO6A64DrgO6A9ED8QQXBEAEagSRBLQEzwTiBO0E8QTuBOgE4ATZBNUE1QTaBOYE9gUMBSUFQAVbBXUFjQWhBbIFwAXLBdMF2wXhBekF8QX7BgcGFQYkBjQGRAZUBmMGcQZ9BogGkQaYBp8GpQaqBrAGtQa7BsEGxgbMBtAG0wbUBtQG0QbNBscGwQa6BrQGrwasBqoGrAavBrUGvAbEBswG0wbYBtwG3gbdBtoG1gbRBswGxwbDBsAGvwa/BsEGxAbHBssGzgbRBtMG0wbTBtIG0AbOBssGyAbEBsAGuwa2BrEGrAamBqEGnAaYBpUGkwaRBpEGkAaQBo8GjgaMBooGhgaDBoAGfQZ8BnwGfgaCBocGjQaTBpgGmwadBpwGmAaSBosGgwZ8BnYGdAZ1BnoGgwaRBqEGtAbHBtsG7Qb8BwkHEgcYBxoHGwcZBxcHFgcVBxUHFgcaBx8HJAcqBzAHNQc4BzgHNQcvByUHGAcIBvUG4AbLBrcGpgaYBo4GiwaMBpQGoga0BskG4Ab3BwwHHgcrBzMHNgczBysHIAcQBv8G7QbaBsgGtgamBpYGiAZ7Bm4GYgZYBk8GSAZCBkAGPwZBBkUGSQZNBlAGUAZMBkQGNwYlBg4F9AXYBbsFnwWGBXAFYAVVBU4FTAVOBVIFVwVdBWEFZAVlBWUFZQVlBWcFbAVzBX0FiQWXBaQFrwW2BbcFrwWfBYUFYwU5BQkE1wSkBHQESwQpBBAEAAP7A/0EBQQRBB8ELAQ1BDkEOAQxBCQEEwP/A+kD1APAA68DoQOWA48DigOHA4UDgwOBA34DeQNzA2wDYwNZA08DRAM5Ay4DIwMXAwwDAQL1AukC3gLSAsgCvgK1Aq0CpwKiAp4CmwKaApkCmAKYApcClgKTApACiwKEAnwCcwJoAl0CUAJEAjcCKwIgAhYCDQIEAfwB8wHqAeAB0wHDAa8BmAF8AVsBNgEMAN8ArgB7AEYAEf/b/6f/dP9D/xX+6v7D/p/+ff5e/kL+J/4N/fP92f2//aT9if1t/VH9Nf0Y/Pv83fy//KD8gPxf/Dz8GPvz+8z7pft/+1j7M/sP+u76zvqw+pT6ePpc+j/6IfoB+eD5vfmZ+Xb5U/kx+RH48vjV+Ln4nfiA+GD4PPgU9+f3tfd+90X3CfbN9pL2W/Yn9fn10PWs9Yz1b/VV9Tr1IPUD9Ob0xvSl9IP0YfRB9CL0BvPt89fzw/Ox86Dzj/N882jzUPM28xny+vLY8rbyk/Jy8lLyNvIe8gnx+fHt8eXx3/Ha8dfx0vHL8cLxtPGi8YzxcvFU8TPxEfDv8M7wrvCS8HjwYvBP8D7wL/Af8A7v++/m783vsO+R73DvT+8t7w3u8O7W7sHuru6f7pLuhu567mzuW+5G7i3uEO3v7c3tq+2L7W/tWO1J7UHtQu1L7Vrtbu2F7ZztsO2+7cbtxe267abtie1l7TvtDuzg7LPsiuxn7EnsMuwh7BfsEOwN7AzsCuwI7APr+uvv69/rzOu1653rgutm60rrLusS6vfq3OrC6qrqkup76mbqUupA6i/qIeoU6gnqAen56fLp7enm6d/p1+nN6cLptOmm6Zbphul26WjpWulP6UfpQOk86TnpOOk36TXpMuku6SjpIOkX6QzpAej26Ovo4ejZ6NPoz+jO6NDo1ejd6Oro+ukQ6SzpTul36ajp4Oof6mPqqurz6zrrfeu66+zsE+wt7DnsNuwm7Anr4uuz633rResL6tPqnepq6jzqE+nu6c3psuma6Ybpdeln6V3pVOlO6UrpRulE6UHpPuk56TPpKukg6RTpBuj36Ono2+jO6MXovui76LvovujF6M3o1+jh6Oro8uj46Pvo++j46PLo6uje6NHow+i06KTok+iD6HHoYOhO6DzoKugY6Abn9Ofk59Tnxue656/npued55Tniud/53LnY+dR5z3nJ+cQ5vnm4ubO5r3msOan5qPmouak5qnmrua05rjmu+a75rjms+at5qXmnuaY5pTmk+aV5pnmoOao5rHmu+bD5srmzubQ5s/mzObI5sLmvOa35rPmseaw5rHmtOa45rzmwObE5sfmyObI5sfmxObC5r/mvea85rzmvubC5sfmzubV5t3m5Obr5vHm9eb45vnm+eb55vjm+Ob45vnm/OcB5wbnDecW5x/nKOcx5znnQudJ51HnWOdf52fnb+d554Pnj+ec56nnuOfG59Tn4ufw5/3oCegU6CDoK+g16EDoSuhU6F3oZuhv6HbofuiH6JHoneit6MLo3Oj86SPpT+mA6bXp7Ook6lvqjuq96ufrDOsr60brXut064vrouu869jr9+wX7DnsXOx87Jvst+zP7OTs9u0G7RbtJu027UntXe1y7Yjtne2w7cHtz+3a7eHt5u3r7fDt9+4D7hPuKu5F7mXuiO6t7tHu8u8P7yfvO+9J71XvXu9o73Tvg++X77DvzO/r8AzwLPBJ8GLwdvCF8I7wkvCU8JXwlfCY8J7wqPC08MTw1fDm8PbxBfER8RvxI/Er8TLxO/FG8VXxZvF68Y/xo/G18cLxyfHI8b/xr/GY8XzxX/FD8SrxGfEQ8RLxHvE08VTxe/Go8dfyBvI08l/yh/Kp8sjy4/L88xPzKvNB81rzdPOQ863zzPPq9Af0I/Q99FT0afR69In0lvSi9K30uPTE9NH03/Tw9QH1FPUo9Tz1T/Vh9XH1f/WK9ZP1mvWe9aH1o/Wl9ab1qfWt9bP1uvXE9c/13PXr9fr2C/Yc9i32PvZQ9mD2cfaB9pL2o/a19sn23/b39xL3L/dP92/3kPex99D37PgE+Bn4Kfg1+D74Q/hI+Ez4UvhZ+GL4b/h9+I34nviu+Lz4yfjS+Nj42/jc+Nv42vjb+N344vjq+Pb5A/kT+ST5NvlH+Vf5Zflx+Xz5hfmN+ZX5nPmj+ar5sfm4+b/5x/nO+db53/nq+ff6BvoY+iz6QvpZ+nD6hvqZ+qn6tfq9+sH6wPq++rv6uPq5+r36x/rX+u37Cfsq+1D7efuk+8/7+vwk/E38dfyb/L/84/0F/Sb9RP1h/Xv9kf2k/bP9v/3I/c790/3X/dz94/3s/fj+Cf4c/jT+Tv5q/of+pP7A/tr+8P8A/wv/D/8L/v7+6P7I/qD+cP44/fz9vP17/Tv9APzK/J38evxh/FL8TPxP/Fj8Zvx2/IX8kvyc/KL8o/yg/Jv8k/yM/IX8gfx//IH8hvyO/Jj8o/yv/Ln8w/zL/NH81vza/N784/zo/O/8+P0C/Q39GP0k/S79OP1A/Ub9S/1P/VL9Vf1Y/Vz9Yf1n/W79df19/YT9iv2Q/ZT9mf2d/aH9pv2r/bL9u/3F/dD92/3n/fL9/f4H/hD+GP4f/iX+LP4y/jn+Qf5J/lL+W/5k/m3+dv59/oX+jP6T/pv+o/6r/rT+vv7J/tT+3/7q/vX+//8J/xP/HP8n/zL/Pv9M/1v/a/98/43/nv+u/7z/yf/U/93/5P/p/+3/8P/y//P/8//y//D/7P/m/9//1v/M/8H/tv+s/6P/nf+Z/5j/mf+c/6D/pf+p/63/r/+w/7D/r/+t/6z/rP+u/7P/uf/B/8v/1v/h/+z/9f/9AAQACAALAA0ADwARABMAFwAcACMALAA3AEQAUwBlAHkAkACqAMgA6AELATEBWAGAAaYBywHtAgoCIwI3AkYCUgJbAmMCbAJ2AoUCmAKwAs0C7gMTAzkDXwODA6UDwgPaA+0D/AQHBBAEGgQkBDEEQQRWBG4EiQSnBMUE4gT8BRIFJAUvBTYFNwU1BS8FKQUjBR4FGgUXBRYFFAUQBQoE/gTtBNUEtgSSBGoEPwQWA8gDqgOUA4cDhQOOA6EDvAPeBAMEKQRNBG0EhwSaBKYEqwSqBKUEnwSZBJQElASYBKIEsQTEBNsE8wUMBSUFOwVPBV8FbAV2BX4FhQWLBZIFmQWjBa8FvAXMBdwF7QX+Bg4GHQYqBjUGPgZFBksGUQZWBlsGYAZnBm4GdQZ9BoUGiwaRBpYGmAaZBpgGlQaSBo4GiwaIBocGhwaJBo0GkwaZBqAGpwatBrMGtga4BrgGtwa1BrIGrwasBqoGqAaoBqkGqwatBrAGswa2BrgGuwa8Br0Gvga+Br0Guwa5BrYGswavBqoGpQagBpsGlgaRBowGhwaCBn0GeAZyBmwGZgZfBlgGUgZMBkgGRgZGBkgGTQZUBlwGZgZvBnYGfAZ+Bn0GeAZwBmQGVwZIBjoGLQYkBh4GHQYhBikGNgZHBlkGbQaBBpMGowawBrkGvwbBBsAGvQa5BrQGsAatBqwGrAavBrQGuwbBBsgGzAbOBswGxga8Bq4GnAaIBnMGXwZOBkEGOQY4Bj4GSgZcBnIGjAalBr4G0wbjBu4G8gbvBucG2gbJBrYGowaPBn0GbAZdBlAGRAY6BjAGJgYdBhQGCwYEBf0F+AX1BfMF8wXzBfIF8AXsBeUF2gXKBbYFnwWGBWsFUAU3BSEFDgUABPcE8QTwBPIE9gT6BP8FBAUIBQsFDwUTBRcFHQUkBS0FNgU/BUYFSwVLBUUFOAUkBQoE6ATCBJkEbgRGBCAEAQPoA9cDzQPKA8wD0gPZA+AD5QPmA+MD2wPPA78DrQObA4kDeQNrA2EDWwNXA1YDVgNWA1YDVQNRA0wDRQM8AzEDJgMbAxEDBwL+AvYC7gLnAuAC2ALQAscCvAKyAqcCnAKSAokCggJ9AnoCeAJ4AnkCegJ6AnoCeAJzAm0CZQJbAk8CQwI3AiwCIQIYAhACCQIDAf0B9gHvAeUB2AHIAbQBnAF/AV8BOwEUAOoAvwCTAGUAOAAK/93/sP+E/1r/L/8H/t/+uf6V/nL+Uv4z/hb9+v3g/cf9rv2W/X79Zv1O/TX9G/0A/OX8yPyp/Ij8ZvxC/Bz79fvN+6T7fPtU+y77Cvrp+sr6rvqT+nr6YvpJ+i/6E/n1+db5tPmR+W75S/kp+Qj46fjM+LD4lPh3+Fj4N/gR9+j3uveJ91T3Hfbm9rH2ffZN9iH1+fXV9bX1lvV59V31P/Ug9QD03vS79Jf0dPRT9DT0F/P+8+fz0/PA863zm/OG83DzVvM68xvy+fLX8rPykfJw8lHyN/If8gzx/fHx8ejx4fHb8dbxz/HH8b3xr/Gf8YvxdPFb8UDxIvEF8OfwyfCt8JLwefBh8EvwNvAi8A7v+e/j78zvs++Z737vY+9H7y3vE+787ubu0+7B7rDuoO6P7nzuZ+5P7jPuFO3z7dDtru2M7W7tVO1B7TTtL+0x7TrtR+1Y7Wntee2F7Yzti+2D7XLtWe067Rbs7+zG7J7seuxZ7D3sJuwU7Afr/ev16+7r5+ve69Prxeu066Hri+tz61vrQusp6xHq+erj6szqt+qh6ozqd+ph6k3qOeom6hTqBOn36evp4ena6dPpzunI6cLpvOm06arpn+mT6Ybpeels6WDpVelM6UXpQOk86TrpOOk26TXpMukv6SrpJekf6RnpEukM6QbpAOj66PXo8Ojr6Ofo5Oji6OTo6uj26QjpIulG6XLpp+nk6ifqbOqz6vbrNOto65Drquu167HroOuB61nrKer26sDqjepd6jLqDenu6dbpwumz6afpnemV6YzphOl86XTpbOll6V/pWelU6U/pS+lF6T7pNuks6SDpE+kE6PXo5+jZ6M7ox+jC6MHoxOjK6NPo3ujq6PXpAOkI6Q7pEekQ6QzpBuj86O/o4ejQ6L7oq+iW6IHobOhX6ELoLegb6Ann+efs5+Hn2OfQ58rnxOe+57fnruej55bnhedy517nSOcy5x3nC+b85vDm6Obj5uPm5ebo5u3m8eb15vbm9ub05vHm7Obn5uPm4Obe5t/m4ebm5uvm8eb35vznAOcB5wHm/+b85vfm8ubu5uvm6Obo5urm7Obw5vTm9+b55vrm+eb15u/m6Obg5tfmz+bI5sPmwebB5sTmyubS5tvm5ubw5vnnAecH5wvnDOcM5wrnBucC5v7m++b55vnm++b/5wTnDOcU5x7nKOcz5z3nR+dR51rnY+dr53TnfOeF547nl+eh56rntOe958XnzufV59zn5Ofr5/Ln++gE6A7oGugn6DboRuhX6Gvogeia6LXo1ej46SDpTel/6bTp7eoo6mTqn+rX6wzrPOtm64rrqOvB69jr6+v+7BLsJ+w/7FnsdOyR7K7syuzk7PrtDe0d7SvtNu1C7U7tXe1v7YbtoO297d3t/e4c7jjuT+5i7m7ude547nfude507nTud+5/7ovum+6u7sTu3O7z7wvvIu84707vZO9775Tvr+/M7+vwDPAs8EzwafCC8Jfwp/Cy8LnwvfDA8MLwxfDK8NLw3PDp8PfxBfES8R7xJ/Et8THxNPE28TrxQPFL8VnxbPGC8Zrxs/HK8dzx6fHu8evx4PHP8bjxnvGE8W7xXfFU8VXxYPF08ZHxtfHe8gryN/Jh8oryrvLP8uvzBPMb8zHzR/Nd83TzjfOn88Pz3vP69BX0LvRG9Fr0bfR99Iz0mvSm9LP0wPTO9N307fT/9RH1JfU49Uz1X/Vx9YH1kPWd9af1sPW39bz1wPXD9cX1x/XJ9cv1z/XU9dr14vXr9fb2AvYP9h32K/Y59kj2VvZk9nP2gvaS9qT2uPbP9uj3A/cg9z/3Xvd895n3tPfL99/37vf7+AT4CvgQ+Bb4Hfgl+C/4PPhK+Fr4a/h7+Ir4l/ii+Kv4sfi1+Lf4uvi9+ML4yfjR+N346vj5+Qr5Gvkr+Tv5SflX+WL5bfl1+X35hPmL+ZD5lfma+Z/5pPmp+bD5uPnC+c/53vnw+gP6GPou+kP6Vvpn+nT6fPqA+oD6fPp3+nH6bfps+m/6ePqI+p76uvrc+wL7KvtV+3/7qfvS+/j8HfxA/GH8gfyg/L/83fz6/RX9MP1I/V79cf2B/Y79mf2i/ar9sv27/cX90v3h/fP+B/4d/jT+Sv5f/nL+f/6H/oj+gP5w/lf+Nf4L/dv9pP1q/S/89fy+/I38YvxA/Cf8FvwP/BD8Fvwh/C/8PfxK/FT8XPxg/GD8XvxZ/FT8T/xL/Er8SvxO/FP8W/xj/Gz8dPx7/IH8hfyI/Ir8jPyP/JP8mPyf/Kj8s/y+/Mn81Pze/Ob87Pzx/PP89fz2/Pb8+Pz7/QD9Bf0N/RX9Hf0m/S79Nf07/UH9Rf1K/U/9VP1b/WT9bv16/Yf9lf2j/bH9vv3K/dT93v3m/e399f38/gT+Df4X/iL+Lf45/kb+Uv5e/mn+dP5+/oj+kv6d/qf+sv69/sj+0/7d/uj+8v78/wX/Dv8Y/yL/LP83/0P/T/9b/2j/dP+A/4v/lf+d/6X/q/+w/7T/uP+7/73/v/+//77/u/+3/7H/qf+g/5f/jv+G/3//ev94/3n/fP+C/4n/kP+Y/57/o/+n/6j/qP+n/6X/o/+i/6P/pf+p/6//tv+//8j/0P/X/97/4v/l/+f/5//n/+b/5v/n/+r/8P/5AAUAFQAqAEIAXwCAAKUAzgD4ASQBUAF8AaQBygHrAgcCHgIwAj4CSQJTAl0CagJ5Ao0CpwLGAusDEwM+A2oDlAO8A98D/AQUBCUEMQQ5BD4EQgRGBEwEVQRgBHAEgQSUBKcEuQTIBNQE2gTcBNoE1ATMBMMEugSzBK4ErAStBK8EsgS0BLMErgSjBJEEeQRbBDcEEQPsA54DggNsA10DVQNWA18DbwOFA58DugPVA+4EAwQUBB8EJwQqBCoEKQQnBCYEKAQsBDQEQAROBF8EcQSEBJgEqQS6BMgE1ATeBOcE7gT1BPwFBAUNBRcFIgUuBTwFSQVXBWUFcQV9BYcFkQWaBaEFqQWwBbgFwAXJBdIF3QXnBfIF/AYGBg8GFwYdBiIGJgYpBiwGLgYwBjIGNQY4Bj0GQQZHBk0GUgZXBlwGYAZkBmcGaQZqBmwGbQZvBnEGdAZ3BnoGfgaCBoUGigaNBpEGlQaYBpsGngagBqIGpAakBqQGowahBp0GmQaTBosGgwZ5Bm8GYwZXBkoGPAYuBiEGEwYHBfsF8gXrBeYF5QXnBe0F9gYCBg8GHgYsBjkGQwZJBksGSAY/BjIGIQYMBfYF4AXMBbsFrgWnBaYFqwW3BccF2wXxBgkGHwYzBkQGUAZWBlgGVAZNBkMGOAYsBiIGGwYWBhUGGAYdBiQGKwYxBjUGNgYyBioGHgYOBf0F6wXaBc4FxgXEBcoF1gXpBgAGGwY3BlEGaQZ8BogGjgaOBocGewZsBlsGSQY3BigGGgYPBgUF/QX1Be0F5QXaBc4FwQWzBaQFlgWJBX4FdAVtBWcFYgVdBVgFUQVIBTwFLQUbBQgE8wTeBMoEuASqBJ8EmASVBJcEnQSlBLEEvgTMBNoE6QT2BQMFDgUYBR4FIgUhBRwFEQUBBOwE0QSxBI0EZwRABBkD9QPVA7oDpAOWA4wDiAOHA4kDiwOMA4sDhwN/A3MDZQNUA0MDMwMkAxgDEAMLAwoDCwMPAxMDFwMZAxkDFwMRAwkC/wLzAugC3ALTAssCxQLBAr4CvAK6ArcCtAKuAqcCngKUAokCfwJ1Am0CZwJkAmICYwJkAmUCZgJlAmICXAJUAkgCOwItAh8CEwIIAgAB+wH4AfgB+QH6AfkB9AHqAdoBwgGjAXwBTgEaAOIAqABtADP//P/I/5n/bv9I/yf/Cf7t/tP+uv6i/on+b/5V/jr+Hv4D/ej9zf2z/Zr9gv1q/VT9Pf0n/RH8+vzh/Mj8rPyP/G/8Tfwp/AP73Puz+4r7Yfs6+xT68PrP+rD6lPp6+mH6Sfox+hn5/vnj+cX5pvmG+WX5RPkj+QT45vjI+Kz4j/hy+FT4M/gQ9+n3vveR92H3L/b89sv2mvZs9kH2GfXz9dH1sPWR9XL1U/Uz9RP08vTR9K/0jvRv9FD0NPQZ8//z5/PQ87jzn/OG82rzTvMv8xDy8PLQ8rHylPJ58mDySvI28iXyFvIJ8f3x8vHn8d3x0/HI8b7xs/Gn8ZvxjvGA8XDxXvFK8TTxG/D/8OLww/Ck8ITwZPBF8CjwDe/0793vye+376fvmO+K73zvb+9h71LvQe8u7xrvAu7o7svuq+6I7mLuO+4S7entwe2a7XftWO0/7SrtHO0U7RDtEe0V7RrtIO0k7STtIe0a7Q3s/Ozo7NDstuyb7IHsaexS7D7sLOwb7A3r/uvw6+Hr0Ou966jrket561/rRust6xbrAOrs6trqyeq66qvqnOqN6n3qa+pY6kPqLuoY6gPp7+nc6czpvumy6anpoemb6ZbpkemM6Yfpgel66XPpa+lk6V3pV+lS6U3pSulI6UbpRelF6UXpROlE6UXpRelG6UfpSOlJ6UrpS+lK6UjpQ+k+6TbpLukm6R/pG+kc6SPpMulK6Wrpk+nD6fjqMepo6p3qyuru6wfrEusQ6wHq5urB6pXqZuo26gnp4Om+6aPpkOmE6X7pfel/6YPphumJ6Ynph+mD6X3pdelt6WTpXOlT6UzpROk96TXpLOkj6RnpDukD6Pfo7Ojj6Nzo1+jV6Nbo2ujg6Ono8+j96QjpEekZ6R7pIuki6R/pGekQ6QTo9ujl6NLovuin6JDoeehi6EvoN+gk6BXoCOf+5/fn8ufw5+7n7Ofp5+Xn3ufU58fnt+em55Pngedw52DnVOdL50bnRedH50znUedY513nYedk52TnYudf51rnVedR507nTedN50/nU+dY51znYOdj52TnY+df51rnVOdO50jnQ+dA5z7nP+dC50XnSedN50/nTudL50TnOuct5x7nDub95u7m4ObV5s7my+bM5tDm1+bg5urm8+b85wTnCucO5w/nD+cO5wznCucJ5wjnCecM5w/nFecb5yPnKucy5zrnQedI50/nVedb52HnZ+du53XnfOeD54vnkueZ55/npeep56znruex57Pnt+e858Tnz+fd5+/oBugg6D/oYuiI6LHo3ekL6Tzpbumi6dfqDupF6nvqserl6xbrROtu65PrtOvP6+fr++wO7CDsM+xH7F7seOyW7Lbs2ez77R3tPe1a7XPtiO2Z7abtsu297crt2e3s7gPuHu497l/ugu6j7sHu2+7v7vzvAu8B7vvu8e7l7tnuzu7G7sLuw+7J7tTu4+737w7vKO9F72Tvhe+o78zv8vAX8DzwYPCB8J/wuPDM8Nvw5fDq8O3w7fDu8O/w8vD48QLxDvEc8SvxOvFI8VPxW/Ff8WDxYPFe8V3xXvFi8WvxefGL8aDxuPHP8ebx+PIF8gzyDPIG8fvx7PHc8czxv/G38bXxuvHH8drx9PIT8jXyWfJ+8qLyxfLm8wTzIfM881bzcPOJ86HzuvPR8+nz/vQT9Cb0N/RG9FT0YfRt9Hn0hfSS9KD0r/TA9NH05PT29Qn1HPUu9T71TvVd9Wr1dvWB9Yz1lfWe9ab1rfW09br1wPXG9cv10PXW9dv14vXp9fL1/PYG9hL2H/Ys9jr2R/ZW9mX2dPaE9pT2pva59s724/b69xH3KPc/91X3avd894z3mvem97H3uvfD98z31ffg9+z3+vgI+Bj4J/g2+ET4Ufhd+Gf4b/h4+H/4iPiR+Jz4qPi2+MX41vjn+Pn5Cvka+Sj5Nfk/+Uj5TvlT+Vb5WPlZ+Vn5WflZ+Vr5XPlf+WT5a/l1+YL5kfmj+bb5yvne+fH6AfoO+hb6GvoZ+hT6DPoD+fr58/nv+fH5+foH+h36Ofpa+oD6qfrT+v37JvtN+3H7k/uy+9D77PwI/CT8Qfxe/Hz8m/y5/Nf89P0P/Sj9QP1W/Wr9ff2P/aH9s/3F/df96P35/gf+E/4a/hv+Ff4I/fL90/2s/X39Sf0P/NT8mfxg/Cz8APvb+8H7sfuq+637t/vH+9v78PwF/Bj8Jvww/Db8Nvwz/Cz8JPwc/BX8EfwO/A/8E/wZ/CH8Kfwy/Dj8PvxB/EP8RPxD/EP8Q/xE/Ej8TvxX/GH8bPx4/IP8jfyW/Jz8n/yh/KH8oPyf/J78n/yi/Kb8rPy0/L38x/zQ/Nr84vzq/PH89/z9/QT9DP0V/R/9Kv03/UX9VP1i/XD9ff2I/ZP9nP2k/a39tf29/cf90v3e/er9+P4G/hX+Iv4v/jz+R/5S/lz+Zf5u/nf+gP6K/pP+nf6n/rH+uv7D/sz+1P7d/uT+7P70/vz/BP8N/xX/Hv8m/y3/NP87/0H/Rv9K/07/Uf9U/1b/WP9Y/1j/Vv9T/0//Sv9E/z7/Of80/zH/L/8w/zP/Of9A/0j/Uf9b/2P/av9w/3T/dv92/3b/dP9z/3P/c/91/3j/ff+E/4v/kv+a/6H/p/+s/7D/sv+0/7b/t/+6/73/w//M/9j/5//7ABIALgBOAHEAlgC+AOcBDwE3AVwBfwGfAbsB0wHpAfwCDwIiAjYCTAJmAoQCpgLMAvQDHgNJA3IDmAO5A9YD7AP8BAcEDQQPBBAEDwQPBBEEFgQdBCcEMgQ+BEoEVARbBF8EYARcBFYETQREBDoEMwQtBCwELQQyBDgEQARHBEwETQRIBD4ELQQWA/sD3AO9A4EDaANSA0ADMgMqAycDKgMyAzwDSgNZA2cDdQOCA40DlgOcA6IDpgOpA60DsgO3A74DxgPQA9sD5wP0BAIEDwQcBCkENQRABEsEVQRfBGkEcgR8BIUEjgSXBKEEqgSzBL0ExgTQBNoE5ATvBPkFBAUQBRsFJwUzBT8FSwVWBWAFagV0BX0FhQWMBZMFmgWhBagFrwW1BbwFwwXKBdEF2AXeBeQF6gXvBfQF+QX+BgMGCAYNBhQGGgYhBikGMQY5BkEGSAZPBlQGWQZdBmEGYwZlBmcGaQZqBmwGbQZuBm8GbwZuBmwGaAZiBlkGTwZCBjMGIgYPBfsF5QXPBbkFpAWRBX8FcQVmBWAFXQVgBWYFcQWABZEFpAW2BcgF2AXjBeoF7AXoBd4FzwW8BaUFjQV2BWAFTwVCBTsFOwVCBVAFYgV5BZIFqwXDBdcF5wXwBfQF8gXqBd0FzQW9BawFnQWRBYkFhQWFBYcFjAWSBZcFmgWaBZYFjwWFBXkFbAVhBVgFVAVVBVwFagV9BZYFsQXOBeoGBAYZBikGMgY2BjMGLAYiBhUGCAX7Be8F5QXcBdUFzgXHBb8FtAWnBZYFgwVuBVgFQQUrBRcFBQT3BOsE4wTcBNgE0wTOBMcEvgSzBKUElQSDBHEEYARSBEYEPwQ9BEEESgRZBG0EhASfBLoE1gTwBQcFGgUnBS4FLQUkBRQE/ATdBLgEjgRiBDQEBwPdA7YDlQN7A2YDWANQA0wDSwNMA0wDSwNGAz4DMgMjAxAC/ALoAtUCxAK3Aq0CqAKnAqgCrAKxArYCugK7ArkCtAKtAqQCmgKQAoYCfwJ6AncCdwJ5AnsCfgKAAoECfwJ7AnQCbAJiAlgCTgJGAkECPgI+Aj8CQgJGAkgCSQJGAkACNgIpAhoCCQH5AeoB3wHYAdUB2AHfAegB8gH6Af4B/AHwAdkBtwGJAVABDQDDAHQAJP/V/4r/Rv8J/tb+rf6M/nP+YP5T/kj+Pv41/in+HP4M/fr95f3P/bf9nv2F/W39Vf0+/Sj9Evz8/Of80fy7/KP8ivxv/FL8M/wS+/D7zPum+4D7Wvs0+w766vrH+qb6h/pp+kz6MPoV+fv53/nE+aj5jPlv+VL5NvkZ+P344fjG+Kv4j/hy+FT4NPgR9+z3xPea9273QPcR9uL2tPaG9lr2L/YG9d/1ufWU9XH1TvUr9Qr06fTI9Kn0i/Rt9FH0NfQa8//z4/PI86vzjvNv81DzMfMS8vPy1vK78qLyi/J28mTyU/JD8jTyJfIW8gfx9/Ho8dnxzPHA8bbxr/Gq8abxpPGh8Z3xl/GN8X7xavFQ8THxDfDm8LzwkvBq8ETwIvAF7+7v3e/R78nvxO/B77/vu++076rvnO+I72/vUe8v7wnu3+6y7oTuVe4m7fftyu2f7XbtUe0v7RLs+Ozj7NLsxuy87LXssOyt7Krsp+yk7J/smuyT7Irsgex37GzsYOxT7EbsOOwo7BfsA+vu69brvOug64LrZOtF6yjrDOry6tzqyeq56qzqoeqX6o7qhep76m/qYOpP6jvqJeoO6fbp3+nJ6bTpoumT6Yfpful46XTpcelv6W7pbelr6WnpZ+lj6WDpXelZ6VfpVelU6VTpVelX6VvpYOlm6W3pdel+6YfpkOmX6Z3poemi6aHpnOmU6Yrpfuly6WjpYOlc6V/paOl46ZDpr+nS6fnqIOpG6mbqgOqQ6pXqj+p+6mLqP+oW6enpvemT6W7pUOk76S3pKOkq6TLpPulM6VrpZ+lx6Xjpe+l66Xbpb+lm6VzpUOlF6TrpL+kl6RvpEekI6P/o9+jx6Ovo5+jk6OTo5ujq6PDo+OkB6QvpFOkd6SXpLOkx6TPpNOky6S3pJukd6RHpA+jy6N/oyuiz6JzohOht6FboQugw6CHoFugP6AvoCegK6AvoDOgM6AroBuf/5/Xn6efb587nwee2567nqeeo56vnsee558PnzefW597n4+fl5+Xn4ufe59jn0ufN58rnyOfH58nny+fO59Hn0+fT59LnzufJ58Pnvee357Hnrues563nruex57Tntee157Hnqeee547neudk50znM+cc5wjm9ubp5uDm3Obc5t/m5ebr5vLm+eb+5wHnA+cD5wPnAucC5wLnBecJ5w/nF+cg5yrnNec+50fnTudT51bnV+dX51fnVudW51jnW+dh52jncud954nnleeg56vntee858PnyOfO59Pn2+fk5/LoBOgc6DnoXOiE6LHo4ukX6U7phum/6ffqLupk6pfqx+r16yDrR+tq64rrp+u/69Xr6Ov47AjsGOwp7DzsU+xt7I3ssOzY7QPtMO1d7Ynts+3Z7fruFu4u7kHuUe5f7mzue+6L7p/utu7Q7u3vCu8n70LvWe9s73nvgO+A73vvcu9l71bvR+857y7vJ+8l7yjvMe8/71PvbO+K763v0u/78CTwTvB48J7wwvDh8PrxDPEZ8R/xIfEe8RjxEvEN8QrxC/EQ8RrxKPE48UvxXfFv8X3xh/GN8Y7xi/GG8YDxevF28XbxevGE8ZPxpvG88dPx6/IA8hLyIPIo8izyK/Im8h/yGPIR8gzyC/IP8hjyJfI48lDybPKK8qzyz/Ly8xbzOvNc837znfO689Xz7fQB9BP0IfQt9Db0PvRE9En0UPRX9GD0a/R59In0m/Su9ML01vTq9Pz1DfUc9Sn1NPU99Ub1TvVW9V71Z/Vw9Xv1hvWS9Z71qfW19b/1yfXS9dv14/Xr9fT1/PYG9hD2G/Yn9jP2QPZO9lv2afZ39oT2kvaf9qz2uvbH9tX24vbw9v73C/cZ9yb3NPdB90/3Xfds93r3ifeZ96n3uPfH99X34/fw9/v4BvgQ+Bn4I/gt+Dj4RPhS+GL4c/iF+Jn4rPi/+NL44/jy+P75CfkR+Rb5Gfkb+Rv5GvkY+Rb5FPkT+RL5E/kW+Rv5Ivks+Tj5RvlW+Wf5ePmI+Zb5ofmo+az5qvmk+Zv5kPmD+Xj5b/lq+Wr5cvmA+ZX5sfnS+fj6IPpI+nH6l/q7+tz6+vsU+y37RPtb+3T7jfuq+8n76vwO/DT8XPyE/Kz80/z4/Rz9P/1e/Xz9l/2v/cT91f3h/ef95/3f/c79tP2Q/WP9Lvzw/K78aPwh+937nvtn+zn7GPsD+vv7APsQ+yj7SPtr+4/7sfvQ++j7+vwF/Aj8Bvv/+/X76fve+9X7z/vM+8370fvX+9/75vvu+/T7+Pv6+/v7+vv5+/f79/v5+/z8AvwK/BT8H/wq/DT8PvxG/Ev8T/xR/FH8UfxR/FH8U/xW/Fv8Yfxp/HL8e/yF/I78l/yf/Kj8sPy4/MH8yvzU/OD87Pz5/Qb9FP0g/S39OP1C/Uv9VP1c/WX9bv14/YP9kP2d/av9uf3H/dX94v3u/fn+Av4K/hL+Gf4g/if+L/43/kD+Sf5T/lz+Zf5u/nb+ff6E/on+jv6T/pf+nP6g/qT+qf6t/rH+tf65/rz+v/7B/sL+xP7F/sX+xv7H/sf+yP7I/sj+yf7K/sr+zP7O/tH+1f7a/uH+6P7x/vr/A/8M/xX/HP8h/yX/J/8o/yf/Jv8k/yL/If8h/yL/Jf8q/zH/Of9C/0z/Vv9g/2n/cv96/4L/iv+R/5n/ov+s/7j/xv/X/+sAAgAcADgAVwB3AJgAugDbAPsBGwE4AVUBcAGLAaUBwAHdAfsCGwI+AmQCiwKzAtsDAgMnA0kDZgN+A5EDngOnA6sDrAOsA6sDqwOsA68DtAO8A8UD0APZA+ID6QPtA+0D6wPlA94D1QPNA8UDwAO+A8ADxQPNA9cD4gPtA/YD/AP9A/kD7wPgA8wDtQObA1gDQwMvAx0DDgMCAvoC9QL0AvYC+gMBAwkDEgMcAyYDMAM6A0QDTQNWA14DZgNtA3UDfAODA4oDkgOaA6IDrAO2A8IDzgPbA+gD9gQEBBEEHQQpBDMEPQRFBEwEUwRZBF8EZgRuBHcEgQSNBJoEqAS2BMUE1ATjBPAE/QUIBREFGgUhBScFLQUyBTgFPgVFBU0FVQVfBWkFcwV9BYYFjwWYBZ8FpQWrBbAFtAW5Bb8FxQXNBdUF3wXqBfYGAgYOBhkGIwYsBjMGOAY8Bj0GPgY9BjsGOQY4BjYGNgY2BjYGNwY3BjYGNAYwBikGIAYTBgMF7wXZBcAFpgWLBXAFVQU9BSgFFgUIBP8E+wT8BQIFCwUZBSkFOwVNBV4FbgV6BYIFhgWGBYAFdQVnBVYFQwUwBR8FEAUFBP8E/wUEBQ8FHwUzBUkFYAV1BYgFlwWhBaUFpAWdBZEFggVxBV8FTgU/BTQFLAUoBScFKAUrBS8FMgUzBTIFLwUqBSMFGwUVBREFDwUSBRsFKAU6BVAFaQWEBZ4FtgXMBd0F6QXwBfIF8AXsBeUF3AXUBcsFxAW9BbYFrwWnBZ0FkQWCBW8FWwVDBSsFEgT5BOIEzgS9BK4EpASbBJUEkASLBIQEfQRzBGcEWARIBDgEKAQbBBAECgQJBA4EGQQqBEEEXQR7BJwEvATaBPQFCAUWBRsFGAULBPUE2ASzBIgEWwQrA/wDzwOmA4IDZQNOAz0DMwMtAyoDKQMoAyUDIAMYAwwC/ALqAtYCwQKsApoCigJ9AnUCcAJuAm4CcAJyAnMCcgJuAmkCYQJYAk4CRAI8AjYCMgIxAjMCNwI8AkICRwJKAkoCSAJDAjwCMwIpAh8CFwIRAg4CDgIRAhUCGwIfAiMCIgIeAhYCCQH5AecB1AHBAbMBqAGkAaYBrQG6AckB2AHmAe0B7AHfAcYBnwFrASkA3QCKADH/2P+B/zD+5v6o/nT+S/4s/hf+Cv4C/f79+v33/fH96f3e/dD9vv2q/ZX9fv1m/U/9N/0g/Qr88/zd/Mf8sPyZ/IH8aPxO/DP8F/v6+9z7vPuc+3r7WPs0+xD67PrI+qP6f/pc+jr6Gfn4+dr5vPmg+YX5a/lS+Tn5IfkK+PL42vjC+Kj4jvhy+FX4NvgV9/L3zfen93/3V/ct9wL21vaq9n72UfYl9fj1zPWh9Xb1TfUl9P/03PS69Jv0fvRj9En0L/QW8/zz4fPF86fziPNn80bzJfMF8ubyyfKw8pnyhfJz8mPyVfJG8jjyKPIY8gbx9PHi8dHxwvG18avxpfGi8aLxo/Gl8abxpPGe8ZLxgPFm8UbxIPD28MnwnPBw8EjwJfAI7/Pv5O/b79fv1u/X79fv1e/P78Tvs++c74DvXu837w7u4e607oXuV+4o7fvtzu2j7XntUe0q7Qbs5OzG7Krsk+yA7HHsZuxf7FzsXOxe7GHsZexp7Gzsbexs7GjsYexY7EvsO+wo7BHr+evd68DroeuB62DrQOsh6wTq6erQ6rzqquqc6pDqh+p/6njqcOpo6l3qUOpA6i7qGeoD6evp0+m96afplemF6XnpcOlq6WfpZulm6Wjpaelr6Wvpa+lp6WfpZOlh6V/pXeld6V/pY+lp6XLpfOmJ6Zfppum06cLpzenW6dzp3+nd6djp0OnF6bnprOmh6ZnplemW6Z3pqum86dTp7+oN6irqROpa6mnqb+ps6l/qSOoq6gTp2umu6YLpWek16RnpBOj46PPo9+kB6Q/pIek06UbpV+ll6XDpdul56Xjpc+ls6WLpV+lK6T3pL+ki6RXpCOj96PTo7ejo6Obo5+jr6PHo+ukF6RHpHukq6TXpP+lH6U3pUOlR6VDpTOlH6T/pNukr6R/pEekB6O/o3OjH6LHom+iF6G/oXOhL6D3oM+gs6CjoJ+go6CroLOgt6C3oK+gm6CDoGOgP6AfoAOf75/nn+uf/6AjoE+gf6C3oOuhF6E7oVOhX6FboU+hO6EjoQeg66DXoMegv6C7oL+gv6DDoMOgw6C7oK+go6CToIege6B3oHegf6CLoJugo6CroKegk6BvoDOf55+Lnx+ep54vnbedR5znnJOcV5wrnBOcC5wPnBucJ5wznDecN5wvnCOcE5wDm/Ob75vvm/+cF5w3nGOck5zHnPOdG507nUudU51PnUOdN50nnRudG50nnUedc52zngOeW56/nyefj5/zoE+go6DroS+hb6GroeuiM6KHouujX6PjpH+lK6Xjpqenb6g7qQOpw6p/qyury6xfrOetY63Trjuul67vrzuvh6/PsBOwV7CfsOuxQ7GjshOyk7Mjs8O0c7Urte+2s7dzuCe407lrue+6Y7q/uw+7T7uHu7+797wzvHe8x70bvXe91747vpO+578rv1+/g7+Tv4+/f79jvzu/E77rvse+r76nvq++z78Dv0+/s8ArwLfBT8Hvwo/DL8PDxEfEt8ULxUPFX8VfxUvFJ8T/xNPEq8SXxI/En8THxP/FR8Wbxe/GO8Z7xqvGx8bLxrvGm8ZvxkPGF8X7xe/F98YbxlPGn8b/x2fHz8gzyI/I18kPyS/JO8kzySPJB8jryNfIy8jPyOfJF8lfybvKL8q3y0/L78yXzT/N3857zwfPf8/n0DfQd9Cf0LfQv9C/0LfQr9Cr0K/Qv9Df0QvRQ9GL0d/SM9KP0ufTN9OD07/T99Qf1D/UW9Rv1IPUm9S31NfVA9Uz1WvVp9Xn1iPWY9af1tfXB9cz11vXf9ef17/X49gH2CvYU9iD2K/Y39kP2T/Zb9mX2b/Z49oH2ifaQ9pj2oPap9rP2vvbL9tn26Pb59wz3H/cy90b3Wfds9333jfeb96j3s/e898X3zffV99335/fy9//4Dvgf+DL4R/hc+HH4hvia+Kz4vPjJ+NT43Pji+Ob46Pjo+Of45vjk+OP44vjh+OL45Pjn+Oz48/j7+Qb5Efke+Sv5OPlE+U75VPlY+Vf5U/lM+UH5Nfkp+R75FfkR+RL5Gfkn+Tv5VPlz+ZX5uPnc+f76Hvo6+lL6Z/p5+oj6l/qm+rf6y/rj+wD7IvtJ+3T7o/vV/Af8Ovxs/Jz8yfzy/Rf9N/1S/Wf9df19/X39df1k/Ur9J/z7/Mb8i/xJ/AT7vvt5+zj6/vrN+qf6jvqC+oP6kPqo+sj67vsX+z/7ZfuG+6H7tPvA+8T7wvu7+7H7pfuZ+4/7iPuE+4P7hfuK+5H7mPuf+6X7qvuu+6/7sPuw+6/7sPux+7T7uPu++8b7zvvX++D76Pvw+/b7/PwA/AT8B/wK/A78EvwX/B38I/wq/DL8OvxC/Ev8U/xb/GP8bPx2/ID8i/yW/KL8r/y8/Mn81fzg/Ov89fz+/Qf9D/0X/SD9Kf0z/T79Sv1W/WP9b/17/Yb9kP2Y/Z/9pf2r/bD9tf27/cL9yf3R/dr95P3t/fb9//4H/g3+E/4W/hn+G/4c/h3+Hv4e/iD+If4i/iT+Jv4n/ij+KP4o/ij+J/4n/if+KP4q/iz+MP41/jv+Qf5J/lH+Wf5i/mv+df5//on+k/6d/qf+sf66/sL+yf7P/tT+1v7X/tf+1v7U/tL+0P7P/tD+0/7Y/uD+6v72/wT/FP8k/zT/RP9T/2H/bf95/4P/jf+X/6H/rP+5/8j/2f/tAAQAHQA4AFQAcgCRAK8AzgDsAQoBKAFGAWUBhAGlAccB6gIPAjQCWgJ/AqMCxQLjAvwDEgMiAy8DNwM7Az0DPgM/A0ADQwNHA04DVwNhA2wDdwOBA4kDjgOQA5ADjAOHA4ADeANxA2wDaQNpA20DcwN8A4cDkwOeA6cDrgOxA7ADqgOfA5EDgANsAu0C3gLQAsQCuQKxAqsCqAKmAqcCqgKwArYCvwLJAtQC4ALtAvoDBwMUAyADKwM1Az4DRgNMA1IDVwNcA2EDaANwA3kDhAORA58DrgO9A80D3APqA/cEAQQKBBEEFwQcBCAEJAQqBDAEOQRDBE8EXQRtBH0EjgSfBLAEvwTNBNkE4wTsBPME+gUABQYFDQUUBRwFJQUvBToFRQVQBVoFZAVtBXUFewWABYUFiQWNBZIFmAWfBagFsgW+BcsF2QXmBfQGAAYLBhQGGgYdBh8GHwYdBhoGFwYUBhIGEAYQBhEGEwYUBhUGFQYSBg0GBAX3BeYF0gW6BaAFgwVnBUoFLwUXBQIE8gTmBN8E3QTgBOYE8AT8BQkFFwUkBTAFOQVABUMFQwU/BTkFMAUkBRgFCwT/BPQE6wTlBOME5QTqBPME/wUNBR0FLQU8BUkFVAVbBV0FXAVXBU8FQwU3BSkFHAUQBQYE/wT6BPgE+AT6BPwE/gT/BP8E/gT8BPkE9QTxBO8E7wTxBPcFAQUNBR0FLwVCBVYFaQV6BYkFlQWeBaQFpgWmBaQFoQWcBZcFkQWLBYUFfQV1BWoFXgVQBT8FLQUZBQUE8ATbBMgEtgSmBJkEjQSEBHwEdQRuBGYEXgRVBEsEQAQ0BCkEHwQWBBAEDQQOBBMEHQQqBDwETwRkBHkEjgSgBK4EtwS6BLcErQScBIUEaARGBCED+gPTA60DiQNpA00DNgMkAxYDDAMGAwAC/AL3AvAC5wLdAs8CwAKwAp8CjgJ/AnICaAJgAlsCWAJXAlYCVQJUAlACSwJDAjoCLwIjAhgCDgIGAgEB/wIAAgMCBwINAhICFgIYAhcCEwINAgUB+wHxAekB4gHeAd0B3wHkAekB8AH1AfcB9wHxAegB2gHIAbUBogGQAYEBeAF0AXcBfwGMAZsBqgG2Ab0BuwGuAZUBbgE7AP0AtABmABP/wP9w/yX+4v6p/nr+Vf45/iT+F/4N/gb+AP34/fD95P3W/cb9s/2e/Yn9cv1c/UX9Lv0X/QD86fzR/Lj8n/yE/Gn8Tvwy/BX7+fvc+7/7ofuD+2P7Q/sh+v762vq0+o76Z/pA+hr59vnT+bP5lfl6+WH5S/k3+ST5EvkB+O742/jG+K/4lvh7+F/4Qfgi+AH34Pe+95v3ePdU9y/3Cfbh9rj2jPZf9jD2APXQ9aD1cfVE9Rn08fTN9K30j/R19Fz0RfQu9Bbz/PPh88PzovOA813zOfMW8vTy1PK38p3yhvJy8mHyUPJB8jLyIvIR8gDx7fHb8cnxuPGp8Z3xk/GM8Yfxg/GA8XvxdPFp8VnxRPEq8Qvw6PDC8JvwdfBR8DHwFvAC7/Lv6O/i79/v3e/b79bvzu/C77Dvme99713vOe8U7u3uxe6e7nfuUe4s7gft4e287ZXtbu1H7SDs+uzV7LTslux+7GrsXexU7FLsU+xX7F7sZexs7HHscuxw7GrsX+xQ7D3sJ+wN6/Hr1Ou265jreetb6z7rIusH6u7q1urB6q7qneqO6oHqdepq6mDqVupM6kDqM+ok6hPqAent6djpw+mv6Zzpi+l96XLpaull6WPpY+ll6Wjpa+lu6XHpculy6XHpb+lt6WzpbOlt6XLpeOmC6Y7pnemt6b3pzund6erp9On66fvp+enz6evp4OnV6crpwum+6b/pxenR6eLp+OoR6i3qSOpi6nfqh+qO6o7qg+pw6lXqM+oL6eDptemL6WTpQukn6RPpB+kC6QTpDOkY6SjpOelK6Vvpa+l46YPpi+mQ6ZLpkemO6Yfpful06WfpWOlJ6TnpKekb6Q/pBukA6P7o/+kF6Q/pG+kp6TnpSelX6WPpbel06Xfpd+l06W7pZ+ld6VPpSOk96THpJOkX6Qno+ujp6Njoxui06KPokuiD6Hboa+hk6F7oXOhb6FvoW+hc6FvoWehW6FHoTOhG6EHoPug96D7oQuhK6FToYOhu6HzoiuiV6J/opeio6Kjopuih6JvoleiO6InohOiB6H/ofuh+6H7of+h/6H/of+iA6IHog+iG6IrokOiW6J3oo+io6KroqOih6JXog+ht6FHoMugQ5+3nzOet55Hneudo51vnUudN50vnSudK50nnRudB5zvnM+cr5yLnGucU5xHnEOcS5xfnHucm5y/nN+c+50PnRudH50bnRedE50XnSedR517nceeJ56fnyefv6BjoQehq6JLot+jY6PfpEukq6UDpVulr6YLpmem06dHp8OoR6jPqV+p66pzqverc6vnrFOss60TrWutv64Xrm+uy68rr4+v87BfsMexN7GjshOyh7L7s3ez97R/tQ+1p7ZDtue3j7gzuNO5b7n7unu667tLu5+747wfvFO8g7yzvOu9J71vvbu+E75vvs+/L7+Lv9/AK8BnwJPAq8C3wLPAn8CHwGfAS8AvwCPAJ8A7wGfAq8EDwXPB98KHwx/Dt8RHxMvFP8Wbxd/GB8YXxhPF/8XjxcfFq8WfxZ/Fr8XPxgPGP8aDxsPG/8cvx0vHU8dHxyfG98a/xoPGS8YjxgvGB8Yfxk/Gk8brx0/Ht8gbyHfIw8j7yR/JK8kjyQvI68jHyKfIk8iTyKfI18kjyYfKC8qfy0fL98yrzVvN/86XzxfPf8/P0APQG9Af0BPP98/Tz6vPi89zz2fPb8+Hz7PP79A70JPQ79FP0avSB9JX0pvS19MH0y/TT9Nr04fTp9PH0+/UG9RP1IvUy9UL1U/Vj9XP1gfWO9Zr1pfWu9bf1wPXI9dL13PXm9fL1/vYL9hj2JfYx9j32R/ZS9lv2ZPZs9nX2fvaI9pP2oPav9r/20fbk9vj3Dfci9zb3SPda92n3dveB94v3k/ea96H3qPew97n3xffT9+P39vgL+CH4OPhP+GX4eviM+J34qvi1+L34w/jG+Mf4yPjH+Mb4xPjD+ML4wfjB+ML4xPjH+Mz40vjZ+OL46/j2+QH5C/kV+R35Ivkl+ST5Ifka+RH5B/j8+PL46vjm+Ob46/j2+Qb5Gvky+Uz5ZvmB+Zn5rvm/+cv51Pna+d754fnl+ez59/oI+h76PPpg+ov6uvrt+yL7WPuM+7777PwV/Dj8Vfxr/Hv8hPyG/IL8d/xm/E78MPwN++T7t/uG+1T7Ivrx+sP6m/p6+mL6U/pP+lT6Y/p5+pf6uPrc+v/7Ifs++1b7aPtz+3j7ePtz+2v7YftW+037RvtB+0D7QftF+0v7Uvta+2L7aPtu+3L7dft3+3j7eft5+3r7e/t9+4H7hfuJ+4/7lfub+6H7p/uu+7T7u/vB+8j7zvvV+9z74/vp+/D79/v+/AX8DPwU/B38Jvwx/Dz8SPxV/GL8b/x8/In8lfyg/Kv8tPy9/MX8zfzV/N385fzu/Pf9Af0K/RP9G/0j/Sr9L/00/Tj9O/0//UL9R/1M/VL9Wf1h/Wr9cv17/YL9iP2O/ZH9k/2U/ZP9kv2R/Y/9jv2O/Y79j/2Q/ZL9k/2V/Zb9l/2X/Zf9mP2Y/Zn9m/2e/aP9qf2w/bn9w/3N/dj95P3w/fv+B/4T/h/+LP45/kb+VP5i/m/+fP6J/pT+nv6m/qz+sf60/rb+uf67/r/+xf7N/tj+5f71/wf/Gv8u/0P/Vf9n/3X/gf+K/5D/lP+X/5n/nP+h/6n/tP/D/9b/7QAIACYARgBoAIoArQDPAPEBEQEwAU8BbAGKAagBxgHlAgMCIQI/AlsCdAKMAqACsAK9AsYCzALQAtMC1ALWAtkC3QLjAuoC8wL9AwcDEQMaAyEDJgMoAygDJgMiAx4DGQMVAxMDEgMTAxcDHAMiAyoDMAM3AzsDPQM8AzcDMAMmAxoDDAL9Ak4CRQI9AjgCNAIzAjMCNAI4AjwCQQJIAlACWAJiAm0CeQKHApQCowKxAr8CzALYAuIC6wLyAvgC/AMAAwQDCQMOAxUDHgMpAzUDRANTA2MDcwOCA5ADmwOlA6wDsQO1A7cDuAO6A70DwQPIA9ED3QPrA/sEDgQiBDcESwRfBHIEgwSTBKEErgS5BMMEzATWBN8E6ATyBPwFBgUQBRoFIwUrBTIFOAU9BUIFRgVKBU8FVAVbBWQFbgV6BYgFlgWlBbQFwgXPBdoF4gXpBe0F7wXwBfAF7wXvBe4F7wXxBfMF9gX4BfkF+QX1Be4F4wXUBcAFqQWOBXEFUwU1BRkE/wTqBNoEzwTKBMoE0ATZBOUE8wUCBRAFHAUmBSwFLwUvBSsFJQUcBREFBQT5BO4E5ATbBNQE0ATOBM4E0ATUBNoE4QToBPAE+AT/BQUFCgUNBQ4FDQUKBQUFAAT5BPEE6gTjBN0E2ATUBNEEzwTPBM4EzgTOBM4EzQTMBMoEyATGBMQEwwTEBMYEygTQBNgE4QTsBPgFBAUQBRwFJwUwBTgFPwVDBUYFSAVHBUUFQgU+BTgFMAUnBR0FEgUFBPcE6ATYBMkEuQSqBJsEjQSABHQEaAReBFUETQRGBD8EOQQ0BDEELgQtBC0ELgQxBDYEPARCBEoEUQRYBF0EYgRkBGMEYARZBE8EQgQxBB0EBgPtA9MDtwObA34DYwNJAzEDGwMHAvUC5gLZAs0CwwK5ArACpgKbAo8CgwJ2AmgCWwJOAkICOQIxAisCKAInAicCJwIoAigCJwIkAh4CFgIMAgEB9QHoAd0B0wHLAccBxAHFAccBywHPAdIB1QHVAdMBzwHIAcEBuQGxAasBpgGlAaYBqgGvAbYBvAHBAcQBxAG/AbcBqwGdAY0BfQFvAWQBXQFbAV8BZgFwAXwBhwGPAZEBiwF8AWIBPQEOANUAlgBRAAv/xf+B/0P/C/7b/rP+kv54/mL+Uf5C/jT+Jv4W/gX98v3d/cb9r/2Y/YH9av1U/T79KP0T/Pz85fzN/LP8l/x6/Fz8PPwb+/v72fu4+5f7dvtU+zL7D/rr+sX6n/p4+lD6KPoB+dv5uPmY+Xz5Y/lO+T35L/kk+Rr5EPkH+Pv47vjd+Mr4tPib+H/4YvhD+CT4BPfk98T3pfeE92T3Qfcd9vf2zvai9nT2RPYS9eD1rvV+9VD1JvT/9Nz0vfSg9Ib0bvRV9Dz0IfQE8+XzwvOd83bzT/Mn8wHy3PK78pzygfJp8lTyQvIx8iHyEvIC8fHx3/HN8bvxqPGW8YTxcvFi8VLxQ/E08SPxEfD98Ofw0PC28Jvwf/Bk8EvwNfAi8BPwCPAB7/3v+u/57/bv8u/q797vzO+275vvfO9Z7zXvEe7t7sruqu6L7m/uU+447h3uAO3h7b/tm+107UztJOz87NbsteyY7ILscexn7GPsY+xn7Gzscux27HfsdOxs7GDsTuw37B7sAevi68PrpOuG62nrTes06xvrBOrv6trqxeqy6p/qjOp66mnqWupK6jzqL+oi6hXqCOn76e3p3unO6b7premd6Y7pgOlz6WnpYule6VzpXelf6WPpaOlt6XLpdul56XzpfumA6YPph+mM6ZPpnemo6bXpxOnT6eLp7+n66gLqBuoH6gTp/un26ezp5Ond6drp2+ni6e/qAeoZ6jTqUupw6ozqpOq26sHqw+q86qzqk+pz6k3qJOn56c/pqOmF6WnpUulD6TrpN+k66UHpSulW6WLpb+l76YbpkOmY6aDppums6bDpsumy6bDprOmk6Zrpjul/6W/pX+lP6UHpNeku6SrpLOky6TzpSelZ6WrpeumJ6ZXpnumi6aPpn+mY6Y7pg+l26WnpXOlR6UbpPOkz6SrpIOkX6QzpAej16Ono3ejQ6MXouuiy6Kropeig6J3omuiX6JTokeiN6Ijog+h/6Hvoeeh56Hvof+iH6JDom+io6LTowOjL6NXo2+jf6OHo4eje6Nvo1+jS6M7oy+jJ6MjoyOjI6MrozOjO6NDo0+jX6Nzo4ujp6PHo+ukD6QzpE+kZ6RvpGekR6QXo8ujb6L7on+h96FroOegZ5/3n5ufT58Xnu+e157LnsOev563nqeek553nlOeK54Dndedr52PnXedZ51fnWOda513nYOdj52bnaeds52/nc+d654Pnkeek57zn2uf96CXoUuiB6LHo4ekP6TvpZOmH6afpwunZ6e3p/uoP6h/qL+pA6lLqZep56o7qo+q46szq3+rx6wPrFOsm6zjrTOti63vrl+u269fr++wh7Ejsb+yW7Lvs3+0C7SPtQu1g7X3tmu237dXt8+4R7jDuT+5t7orupe6+7tTu5+747wbvE+8e7yrvNu9D71HvYu9274vvou+679Pv6vAA8BPwI/Av8DbwOfA48DTwLfAl8B3wFvAT8BTwGvAm8DjwUPBu8JHwtvDe8QbxLfFR8XLxjvGl8bjxxfHP8dbx2/Hf8ePx6PHt8fTx+/IC8gjyDPIO8gvyBfH78e3x3fHK8bfxpvGX8YzxhvGG8Yzxl/Gn8brxz/Hl8fnyCvIX8h/yIvIg8hryEvIJ8gDx+vH38fryBPIU8izySfJt8pXyv/Lq8xXzPfNh83/zl/On87HztPOx86rznvOQ84Hzc/No81/zWvNa82DzavN484vzoPO489Hz6vQD9Bv0MPRE9Fb0Z/R19IL0j/Sb9Kj0tfTC9ND03vTt9Pz1CvUZ9Sf1NPVA9Uz1V/Vi9W31efWF9ZH1n/Wu9b31zfXd9e71//YP9h72LfY79kj2VfZh9m32efaG9pP2ovax9sL20/bk9vb3CPcZ9yn3OPdF91D3Wvdi92r3cfd494D3ifeU96H3sPfB99X36/gB+Bn4MPhG+Fv4bvh++Iv4lvid+KL4pfim+Kb4pfij+KH4oPie+J74nvif+KD4o/im+Kv4svi5+ML4zfjY+OP47/j5+QL5CfkN+Q75C/kF+P348vjm+Nn4zvjF+L74vPi++MT4zvjc+Ov4+/kK+Rj5I/kr+S/5L/ks+Sj5I/kf+R35IPkn+TX5Svlm+Yf5rvnZ+gb6M/pg+or6sPrR+uz7AfsQ+xn7HPsb+xX7C/r/+u/63frJ+rT6nfqG+m76WPpC+i/6H/oU+g76DvoU+iD6MvpJ+mX6g/qi+sH63/r5+w/7IPss+zP7Nfsz+y77J/sf+xj7EvsO+w37DvsS+xj7IPso+zH7OvtB+0j7TftQ+1L7UvtR+1D7TvtM+0r7SftJ+0r7TPtQ+1T7Wftf+2b7bft0+3z7g/uK+5H7mPue+6X7q/uy+7n7wfvK+9P73vvp+/b8A/wQ/B78K/w4/ET8T/xa/GP8bPx0/Hz8g/yK/JH8mPyf/Kb8rfyz/Ln8vvzC/MX8yPzK/Mz8zvzR/NT82Pzc/OH85/zt/PT8+fz+/QL9Bf0G/Qb9Bf0E/QL9APz+/P78/vz//QH9BP0H/Qv9D/0T/Rb9Gf0b/R79IP0j/Sb9Kv0v/Tb9Pf1G/U/9Wf1k/W79ef2E/Y/9m/2o/bb9xv3Y/ez+Av4a/jT+Tv5o/oH+mf6v/sL+0v7g/uz+9/8A/wn/FP8g/y3/Pv9Q/2T/ef+O/6H/sv/A/8n/zv/O/8r/w/+5/6//pv+g/57/ov+r/7z/0//wABIAOABhAIoAswDaAP8BIQE/AVoBcwGJAZ4BsQHFAdgB6wH+AhECIwI0AkQCUQJdAmYCbAJwAnMCdQJ2AncCeAJ7An4CgwKIAo4ClAKaAqACpAKoAqoCrAKtAq0CrQKuAq8CsAKyArQCtwK5ArkCuQK3ArMCrAKkApoCjgKBAnMCZgJaAcYBwQG+Ab4BvwHDAccBzQHTAdoB4QHnAe4B9gH+AgYCEAIaAiYCMgI/AkwCWQJlAnACeQKBAogCjQKSApYCmgKeAqQCqwK0Ar8CzALaAukC+QMIAxYDIgMsAzMDOAM6AzsDOgM4AzcDOAM6A0ADSANVA2UDeAOOA6cDwAPbA/UEDgQlBDsETgRfBG4EegSFBI8EmASgBKgEsAS4BL8ExgTNBNQE2gTgBOYE6wTxBPcE/gUHBREFHAUpBTcFRgVWBWUFdQWDBZEFnAWmBa0FswW4BbsFvgXBBcQFyAXLBc8F0gXUBdQF0gXMBcIFswWgBYkFbQVPBS8FDgTvBNMEuwSoBJwElgSXBJ4EqgS6BM0E4QT1BQcFFQUgBSYFKAUlBR8FFQUJBPwE7wTjBNcEzQTGBMAEvAS6BLoEugS7BLwEvgS/BMAEwQTCBMMEwwTEBMQExATEBMMEwgTABL0EugS2BLEErASnBKIEnASXBJMEjwSMBIkEhwSFBIQEgwSCBIEEgQSBBIEEggSEBIcEigSPBJUEnASlBK4EuATDBM4E2ATiBOoE8QT1BPgE+AT2BPEE6gThBNcEywS+BLAEoQSTBIUEdwRpBFsETgRBBDUEKQQeBBUEDQQGBAMEAQQDBAgEEQQcBCoEOgRMBF0EbgR9BIgEkASSBI8EhgR2BGIESAQqBAgD5QPAA5wDeQNXAzkDHQMFAvAC3gLPAsICtgKsAqICmAKOAoMCdgJpAloCSwI7AisCGgILAf0B8QHmAd8B2QHWAdUB1gHYAdoB3AHcAdwB2QHUAc0BwwG5Aa0BoQGVAYsBgwF8AXgBdwF3AXkBfAF/AYEBggGBAX8BewF3AXEBbAFoAWUBZAFmAWoBcAF3AX8BhgGMAZABkgGQAYwBhQF8AXMBagFjAV4BXAFeAWMBawF0AX0BgwGGAYMBeAFlAUkBJAD2AMIAiQBMAA//0v+Z/2T/NP8L/ub+yP6t/pb+gP5s/lb+QP4p/hD99f3a/b79o/2I/W/9V/1B/S39Gf0F/PH82/zE/Kv8j/xx/FH8LvwJ++P7u/uT+2v7QfsY+u76xPqa+m/6RPoa+fH5yvml+YP5ZflM+Tf5J/kc+RX5EvkR+RH5EvkR+Q75CPj9+O/43PjG+Kz4j/hw+FD4MPgP9+73zfet94v3afdF9x/29/bM9qD2cPZA9g/13vWu9YH1VfUt9Qj05vTH9Kn0jfRw9FP0NfQU8/Hzy/Oj83rzUfMn8v/y2fK18pXyefJg8kryNvIl8hTyBfH18eTx0vG/8arxlPF98WXxTPEy8Rjw/fDj8MjwrfCS8HjwYPBJ8DXwI/AW8AzwB/AF8AfwDPAT8BnwH/Ah8B/wGPAL7/jv3u+/75vvde9M7yXu/+7b7rvun+6G7nDuW+5H7jHuGe3+7d/tvO2V7WztQe0X7O7syeyp7I/se+xu7GfsZexn7Grsbuxv7G7saOxd7E7sOewg7APr5evF66Xrhuto603rM+sb6wXq8Orb6sfqsuqe6ojqdOpf6kvqOOom6hbqCOn76e/p5Ona6dDpxem66a/poumW6Ynpfely6WjpYOlb6VjpWOla6V7pZOlq6XLpeemB6YnpkemY6aHpqemz6b7pyunW6ePp7+n76gXqDeoS6hTqE+oP6gnqAun66fTp8eny6fjqBOoW6i3qSepo6onqqOrF6tzq7Or06vLq5urR6rPqj+pm6jrqDunl6cDpoOmH6Xbpa+ln6Wjpbel16X/piOmR6Znpn+mk6afpqumt6a/ps+m26brpvenA6cHpwOm96bbpremh6ZTphel36WrpYelb6VnpXell6XHpgemT6abpt+nH6dPp2und6drp0+nI6bvpq+mb6Yvpfelw6WbpXelX6VLpTulK6UbpQek66TPpKukg6RbpC+kA6Pbo7ejl6N3o1ujQ6MroxejA6Lvotuiz6LDoruiu6LHotei76MPozOjX6OHo7Oj26P/pBukL6Q/pEOkR6RDpDukM6QvpCukJ6QnpCukL6Q3pD+kS6RXpGOkc6SHpJuks6TLpOek/6UXpSulM6UvpR+k/6TLpIekM6PPo2Oi86KDohOhr6FboROg36C7oKego6CnoK+gv6DHoM+gy6DDoK+gl6B3oFOgL6APn++f05+/n6+fp5+jn6Ofp5+vn7ufy5/joAegM6BvoLuhF6GHoguim6M7o9+kj6U3pd+me6cHp4On76hHqI+ow6jvqQ+pL6lHqWeph6mrqdeqC6o/qnuqt6r3qzerd6u7rAOsU6yrrQutd63vrnevD6+vsFuxD7HHsn+zL7PftIO1G7Wrtiu2p7cXt3+357hHuKe5B7lnuce6J7p/ute7J7tzu7O777wjvFO8f7ynvNO8/70zvWu9q73vvju+i77bvye/b7+vv+fAD8AnwDPAM8AjwA+/97/fv8+/x7/Pv+vAG8BjwMfBO8HHwmPDC8O/xHPFJ8XTxnvHE8efyBvIi8jryT/Jg8m7yefKA8oXyhfKC8nvyb/Jg8k3yNvId8gLx5/HN8bbxofGS8YfxgvGE8YrxlfGj8bPxxPHU8eHx6/Hx8fPx8fHs8eXx3PHU8c/xzfHP8dfx5fH48hLyMPJS8nbymvK+8uDy/fMW8ynzNvM98z/zO/My8ybzGfMK8vvy7vLj8tvy1/LY8t3y5vLz8wTzGfMv80nzY/N+85nztPPO8+fz//QV9Cr0PvRP9GD0cPR+9Iz0mfSm9LL0vvTK9Nb04fTu9Pv1CPUW9Sb1NvVH9Vr1bfWB9Zb1q/XA9dX16vX+9hH2I/Y09kT2UvZg9m72evaH9pP2oPat9rr2x/bV9uL27/b89wj3FPce9yn3Mvc890X3TvdY92T3cPd+9473n/ey98b32/fx+Ab4Gvgt+D/4Tvhb+GX4bfhz+Hf4evh7+Hv4e/h6+Hr4efh5+Hn4evh7+H34gfiG+Iz4lPie+Kr4uPjG+Nb45fj0+QH5DPkT+Rf5FvkQ+Qb49/jm+NL4vvip+Jb4hfh4+G/4afhn+Gn4bPhy+Hf4fPh/+IH4gfh++Hr4dfhw+G34bPhu+HX4gPiR+Kb4v/jb+Pn5Gfk4+VX5b/mH+Zr5qfmz+br5vPm8+bn5tfmv+an5ovmb+ZT5jfmH+YL5fvl8+Xv5fvmD+Yz5mfmr+cD52vn2+hb6N/pY+nn6l/qz+sv63vrt+vb6+/r8+vr69vrx+uv65/rk+uP65frp+u/69/sA+wn7Evsb+yL7J/sr+yz7LPsq+yf7I/se+xr7FvsU+xL7EvsT+xX7GPsd+yL7J/st+zP7Ofs/+0X7SvtQ+1f7Xvtl+277d/uB+4z7mPul+7L7v/vL+9j74/vu+/j8AfwJ/BD8F/wd/CP8Kfwv/DX8O/xA/Eb8TPxR/FX8Wfxc/F/8Yfxj/GX8Z/xq/Gz8b/xz/Hb8evx9/H/8gvyD/IP8g/yC/ID8fvx9/Hz8fPx+/ID8g/yI/I38k/yZ/J/8pPyp/K38svy2/Lr8v/zE/Mv80/zc/Of88vz//Qz9Gf0m/TP9QP1N/Vr9aP14/Yr9n/24/dT98/4V/jr+Yf6I/q7+0v70/xL/LP9D/1X/Zf9y/3//i/+Y/6b/tv/I/9v/7gAAABAAHQAmACkAJgAdAA///v/q/9X/wv+z/6n/p/+t/7v/0//yABgAQgBwAJ4AywD2ARwBPQFYAW4BfwGMAZcBnwGnAa8BtwHCAc0B2QHmAfQCAAIMAhUCHQIiAiUCJQIlAiMCIQIeAhwCGwIbAhwCHwIiAiYCKwIwAjYCOwJAAkUCSgJOAlICVQJXAlgCWAJWAlECSwJDAjgCLAIfAhACAQHyAeUB2AHOAXQBcQFwAXIBdQF6AYABhgGNAZQBmwGhAacBrgG0AbsBwwHMAdYB4AHrAfcCAwIOAhkCIwItAjQCOwJAAkUCSgJPAlUCXAJlAm8CewKIApYCpQKzAsECzgLYAuAC5QLnAugC5wLlAuMC4gLiAuYC7QL4AwcDGgMxA0oDZgODA6ADvQPYA/EEBwQaBCoEOARDBEwEUwRaBF8EZQRqBHAEdgR8BIMEigSRBJgEoASnBLAEuQTDBM4E2gToBPYFBQUVBSUFNQVEBVEFXgVpBXIFegWBBYYFiwWPBZQFmAWcBZ8FogWkBaQFoQWaBZAFgQVuBVYFPAUeBP4E3wTBBKYEjgR9BHIEbQRvBHcEhASVBKkEvgTTBOYE9gUCBQoFDQULBQYE/gT0BOgE3QTSBMcEvwS3BLIErQSqBKcEpASiBJ8EnASZBJYElASSBJAEkASQBJIElASXBJkEmwSdBJwEmwSXBJEEigSCBHgEbgRkBFsEUgRMBEcEQwRCBEIEQgREBEYESARKBEsETARNBE0ETgRPBFIEVgRbBGMEbAR3BIMEkQSeBKoEtgS/BMYEygTLBMkExAS8BLIEpQSYBIkEegRqBFsESwQ8BC0EHwQQBAMD9gPpA98D1gPRA84D0APVA+AD7gQBBBcELwRJBGIEeASMBJoEogSiBJsEiwR0BFYEMgQJA94DsQOFA1sDNAMRAvMC2gLGArYCqgKhApkCkwKMAoQCewJwAmICUwJCAi8CHAIIAfYB5AHVAccBvQG1AbABrAGrAasBrAGtAa0BrAGqAaUBnwGXAYwBgQF2AWoBXwFVAU0BRwFDAUEBQAFBAUMBRQFHAUgBSAFGAUMBPwE7ATcBNAExATEBMgE1ATsBQgFKAVIBWQFfAWQBZgFmAWQBYAFaAVUBUAFNAUwBTQFRAVcBXgFmAWwBcAFvAWkBWwFHASoBBgDbAKsAdwBAAAn/1P+h/3H/Rv8g/v7+4P7F/qz+lP58/mP+SP4s/g/98P3R/bL9k/12/Vv9Qv0r/Rb9Avzu/Nv8x/yx/Jj8ffxf/D38Gfvx+8b7mftr+zv7CvrY+qf6dfpF+hX55/m7+ZL5bPlL+S35FfkC+PT47Pjo+On47Pjy+Pn5APkF+Qj5B/kB+Pj46vjX+MD4pviJ+Gr4Sfgn+AT34fe995n3dPdN9yb2/PbS9qb2ePZL9hz17/XC9Zf1bvVH9SL0//Td9Lz0nPR79Fr0N/QT8+7zxvOe83bzTfMm8wDy3PK78p3ygvJp8lPyQPIt8hzyCvH48eXx0fG78aPxivFv8VPxNvEY8Pnw2fC68JvwffBh8EbwL/Ab8AvwAO/67/jv/PAD8A7wGvAm8DHwOfA98DvwMfAh8Arv7O/J76LveO9N7yTu/u7a7rvuoe6K7nbuZO5S7j7uKO4P7fHtzu2o7X7tU+0n7Pzs1eyy7JXsfuxu7GTsX+xe7F/sYexi7GHsXOxT7EXsM+wc7APr5uvI66nri+tu61HrN+sd6wXq7urX6sDqqeqS6nzqZupQ6jzqKeoX6gjp++nw6ebp3enW6c7pxum+6bTpqumf6ZTpiOl96XPpa+lk6WDpXulf6WLpZ+lu6XbpgOmK6ZXpoOms6bnpxunT6eHp7un86gnqFeof6ibqLOou6i3qKuom6iDqG+oX6hXqGOog6i3qQOpY6nXqlOq16tXq8usK6xvrI+si6xfrAurk6sDql+pr6j/qFunw6dHpuOmn6ZzpmOma6Z/pp+mw6bnpwOnF6cjpyenJ6cfpxunE6cTpxOnG6cnpzOnP6dDp0OnN6cjpwOm16anpnemQ6YfpgOl96YDph+mT6aTpuOnN6ePp9+oJ6hbqHuog6h3qFOoH6ffp5OnR6b/prumg6ZTpjOmG6YLpf+l+6Xzpeel16W/paOle6VTpSOk86S/pI+kY6Q3pBOj86PTo7ujp6OXo4ejf6N3o3eje6OHo5ejr6PLo+ukD6QzpFekd6SXpLOkx6TXpN+k56TnpOek46TfpNuk16TXpNek26TbpN+k46TnpOuk76TzpPOk96T7pPuk+6T3pO+k46TPpK+ki6RbpCOj46Ofo1ejE6LPopOiY6I/oiuiI6IvokOiY6KLorei56MTozejV6Nro3ejd6Nzo2ejV6NDoyujF6MHovui76LnouOi46LrovOjA6MbozujY6OXo9ekI6R7pN+lS6W/pjemr6cjp4+n86hLqJOoz6j7qRepK6k7qUOpS6lTqWOpd6mTqbup66ojql+qo6rrqzuri6vfrDesk6z3rV+t065Prteva7AHsKuxU7IDsrOzZ7QTtLu1W7XztoO3B7eDt/O4X7jDuSO5e7nPuh+6a7qzuve7N7tvu6O717wDvC+8V7x/vKu8170HvTu9c72rvee+I75fvpe+y773vx+/O79Pv1u/X79fv1u/V79Xv1+/b7+Lv7O/78A/wJ/BD8GTwifCx8NzxCfE38WXxlPHB8e3yF/I+8mHygPKa8q/yvvLH8sryx/K98q3ymPJ+8mHyQfIg8f/x3/HD8avxl/GJ8YHxfvGB8YjxkvGe8avxt/HC8crx0PHS8dHxzvHK8cTxv/G78brxvfHD8c3x3PHv8gXyHfI38lHyavKB8pbyqPK18r/yxPLG8sTywPK58rDyp/Ke8pXyjfKH8oPygvKE8ojykPKb8qryu/LQ8ufzAPMc8zjzVfNz85DzrPPH8+Dz9/QM9B70L/Q99Er0VvRg9Gr0dPR+9In0lfSj9LH0wfTT9Ob0+vUQ9Sf1P/VX9W/1iPWg9bj1z/Xl9fr2DvYh9jL2QvZQ9l32avZ19n/2ivaU9p72qPay9r32yfbU9uH27fb69wf3Ffcj9zD3P/dN91z3bPd794z3nfev98H30/fl9/f4CPgZ+Cj4N/hE+FD4Wvhj+Gr4b/hz+HX4d/h3+Hb4dPhy+G/4bPhq+Gn4avhs+HL4eviE+JP4pPi4+M745Pj7+RH5JPkz+T35QvlA+Tj5KfkU+Pr43fi8+Jr4efhZ+Dz4I/gP9//39Pft9+r36ffr9+/38/f39/v3//gD+Ab4CvgP+BX4HPgl+DD4PfhL+Fz4bfh++JD4ofiy+MH4z/jb+OX47vj1+Pr4//kB+QP5A/kD+QL5Afj/+P/4//kA+QX5DPkW+ST5N/lN+Wj5h/mp+cz58foW+jr6W/p4+pL6pvq2+sH6x/rJ+sn6xvrC+r76u/q5+rn6vPrA+sb6zvrW+t/65/ru+vT6+Pr6+vr6+fr2+vL67vrq+ub64vrg+t/63/rf+uH64/rm+un67Prv+vH69Pr3+vv6/vsD+wn7EPsY+yL7LPs4+0X7Uvtf+2z7efuE+4/7mPuh+6j7rvuz+7j7vPvA+8X7yfvO+9P72Pve++P76Pvt+/H79fv4+/v7/vwB/AP8BfwI/Ar8DPwO/BD8EfwS/BL8EfwQ/A78DfwM/Av8C/wM/A78EvwX/B38JPwr/DP8O/xB/Ej8TfxS/Fb8Wvxg/Gb8bvx4/IT8k/yl/Ln8zvzl/Pz9FP0q/UD9Vv1q/X79kv2n/b791/3z/hP+Nf5a/oL+q/7U/vz/Iv9E/2P/ff+S/6P/sf+7/8T/zf/W/+D/7P/6AAkAGAAnADMAPQBCAEIAPAAwACAAC//0/93/yP+3/6z/qf+u/73/1f/1ABwASAB2AKUA0gD7AR8BPQFUAWUBbwF1AXgBeAF4AXgBegF+AYQBjQGXAaMBrwG7AcUBzgHUAdcB2AHWAdMBzwHJAcUBwQG+Ab0BvQHAAcQByQHPAdYB3gHlAewB8wH5Af0CAAICAgICAAH8AfYB7wHlAdoBzQHAAbIBpQGYAYwBggF6ASMBHgEbARoBGgEdASEBJgEsATMBOwFDAUwBVAFeAWgBcgF9AYgBlAGhAa0BuQHGAdEB3AHmAe8B9wH+AgUCCwISAhgCIAIpAjQCPwJMAlkCZwJ1AoICjgKZAqECqAKsAq4CrgKuAq4CrgKwArQCuwLFAtMC5AL4AxADKQNEA18DeQOTA6sDwAPTA+MD8QP8BAUEDQQUBBsEIQQnBC4ENQQ8BEQETARUBF0EZQRuBHcEgASLBJUEoQStBLsEyQTYBOcE9gUFBRIFHwUqBTMFOwVBBUYFSgVOBVEFVAVWBVkFWwVdBV0FXAVYBVIFSAU7BSoFFgUABOgEzwS3BKAEjQR8BHEEagRpBGwEdAR/BI0EmwSqBLgEwwTMBNIE1ATUBNAEygTDBLoEsgSqBKIEmwSVBJEEjASIBIUEgQR9BHkEdQRxBG4EawRpBGkEagRsBHAEdQR6BH4EggSFBIUEhAR/BHgEbgRiBFYESAQ7BC4EJAQcBBYEFAQUBBYEGQQeBCQEKQQtBDAEMgQyBDIEMAQvBC0ELQQvBDIEOQRBBEsEWARlBHMEgQSOBJgEoQSmBKgEpwSiBJsEkQSGBHgEagRbBEsEPAQsBBwEDQP+A+8D4QPUA8kDvwO4A7UDtQO5A8IDzgPfA/IEBwQdBDMERgRWBGAEZQRjBFoESgQyBBUD8wPOA6YDfwNZAzUDFQL5AuIC0ALBArYCrgKnAqACmQKRAoYCeQJqAlgCRQIwAhsCBgHzAeEB0gHGAbwBtgGzAbEBsgGzAbUBtgG2AbQBsAGqAaIBmAGMAYABdAFoAV0BUwFMAUcBRAFDAUMBRQFIAUoBSwFMAUoBSAFDAT0BNgEvAScBIQEcARkBGAEYARsBHgEjAScBKwEtAS4BLAEoASIBGwESAQkBAQD6APUA8gDyAPQA9wD6AP0A/wD9APcA7ADbAMQApwCFAF4ANAAI/9v/r/+F/13/Of8Y/vr+3/7G/q3+lf59/mT+SP4s/g397f3M/av9i/1s/U79Mv0Y/QD86fzT/L38p/yP/HX8Wfw5/Bb77/vE+5f7Zvsz+v/6yvqU+l/6Kvn3+cf5mflu+Uf5JPkG+Oz41/jI+Lz4tviz+LT4t/i8+ML4x/jM+M/40PjN+Mf4vviw+J/4i/h0+Fr4Pfge9/332/e295H3afdB9xf27fbC9pf2a/ZA9hX17PXE9Z31d/VT9S/1DfTq9Mj0pvSC9F70OfQT8+zzxfOd83bzUfMt8wry6vLL8rDylvJ+8mfyUfI78ibyEfH78eTxzPG08ZvxgfFn8UzxMPEU8Pfw2/C+8KHwhfBp8E/wOPAj8BLwBO/77/fv9u/68ADwCfAR8BnwH/Ag8B3wFPAF7+/v1O+075Dvau9E7x7u+u7a7r3upO6O7nvuau5Z7kfuMu4b7f/t3+277ZTta+1B7Rfs7+zL7Kzskux+7HDsZ+xi7GDsX+xf7F7sWuxT7EjsOuwn7BHr+Ovd68Dro+uF62jrS+sw6xXq++rj6svqs+qd6ofqc+pf6k3qPOos6h/qEuoH6f3p8+nq6eHp1+nN6cLptumr6Z/pk+mI6X/pd+lx6W3pa+ls6W7pc+l56YHpiemT6Z3pqem16cLpz+ne6e3p++oK6hnqJuoy6jzqROpJ6kzqTepN6kzqTOpO6lLqWupm6nfqjeqm6sPq4usA6x3rNutK61brWutW60jrMusV6vPqzeql6n7qWuo56h7qCen66fHp7unu6fLp9+n96gLqBeoI6gjqCOoG6gTqA+oC6gLqA+oF6gfqCeoK6gjqBen/6fbp6unc6c3pvumw6abpn+mc6aDpqem36crp4On46hDqJ+o76krqVOpY6lbqT+pD6jPqIOoN6fnp5+nX6crpv+m36bLpremq6abpoumd6ZbpjemD6Xfpauld6U/pQuk26SvpIuka6RPpDukK6QjpBukF6QbpB+kJ6QzpD+kU6RrpIOkn6S7pNek86ULpSOlM6VDpUulT6VTpU+lS6VHpUOlO6U3pS+lK6UnpSOlH6UbpROlC6T/pPOk46TTpMOkq6STpHukW6Q7pBuj96PPo6ejg6NfozujI6MPowOjA6MPoyujT6N7o7Oj86QzpHukv6T/pTela6WXpbel06Xjpeul86XzpfOl86Xvpe+l76Xzpfel/6YHphOmH6YvpkOmW6Z7pp+mx6b3pyunZ6ejp+OoI6hjqJuoz6j/qSepQ6lbqW+pe6mHqZOpo6mzqcup66oXqkeqg6rDqwurV6unq/usT6ynrP+tV62vrguub67Tr0Ovt7AzsLexP7HTsmuzA7OjtD+027VztgO2j7cPt4u3+7hfuL+5E7lfuaO547obuk+6f7qvutu7B7s3u2e7l7vLu/+8N7xvvKu8470fvVe9i727vee+D74zvk++a76Dvpe+p767vtO+678Lvy+/V7+Lv8fAC8BbwLfBG8GHwf/Cg8MPw6PEP8TfxYPGK8bPx2/IB8iTyRPJe8nTyg/KM8o7yivJ/8m/yWfJA8iTyB/Hq8c7xtfGf8Y7xgvF78XjxevF/8YfxkfGb8abxr/G28bzxv/HB8cDxv/G98bzxu/G88b/xxfHM8dbx4vHw8f7yDfIc8ivyOPJE8k7yV/Je8mPyZ/Jp8mvybPJs8mzya/Jq8mnyafJo8mjyafJq8m7yc/J68oTykPKg8rLyx/Le8vfzEvMt80nzZPN985bzrPPA89Lz4fPv8/v0BfQQ9Br0JPQv9Dv0SPRW9Gb0d/SJ9J30sfTG9Nz08/UK9SH1OfVR9Wn1gfWZ9bD1x/Xc9fH2BPYW9if2NvZE9lH2XfZp9nX2gPaN9pr2qPa39sf22Pbq9v33EPcj9zb3SPda92z3ffeN9533rve+98/34Pfz+Ab4Gfgt+EH4Vfhp+Hv4jPib+Kj4sfi3+Lr4ufi1+K74o/iX+In4e/ht+GD4VvhP+E34T/hX+GX4ePiR+K34zfju+Q/5L/lM+WT5dfl/+YH5evlq+VH5MvkM+OL4tfiH+Fr4L/gJ9+j3zfe496v3pPej96j3sfe+98333ffu9/74Dvgc+Cn4NPg9+Eb4TfhU+Fv4Yvhq+HP4fviK+Jf4pvi1+Mb41vjm+PX5AvkO+Rb5HPkf+R/5Hfka+RX5EfkN+Qv5DfkS+Rv5Kvk9+VX5cfmQ+bH51Pn2+hf6NvpQ+mf6efqG+o/6lPqV+pT6kvqQ+o76jfqO+pD6lPqa+qL6qfqx+rj6v/rD+sb6yPrH+sX6wvq++rr6t/qz+rH6sPqv+rD6sfqz+rT6tvq3+rf6t/q2+rX6tPqz+rP6tPq2+rr6wPrH+tH63Pro+vb7A/sR+x77Kvs2+0D7SPtP+1b7W/tg+2T7aPts+3D7dPt5+377gvuH+4v7jvuS+5X7l/uZ+5v7nfue+6D7ovuk+6b7p/uo+6n7qfup+6f7pvuk+6L7ofuh+6H7o/un+6z7s/u7+8T7zvvY++H76vvy+/n8APwG/Az8Evwb/CX8M/xE/Fn8cvyP/K780fz0/Rn9Pf1g/YH9n/28/db97v4G/h3+NP5M/mb+gf6e/rz+2/76/xj/NP9O/2P/dv+E/4//l/+c/6H/pf+p/7D/uP/B/8z/2P/k/+//9//7//z/+P/v/+L/0v/B/6//n/+U/43/jv+W/6b/vv/eAAIAKwBWAIAAqADMAOsBBAEWASIBKQEqASkBJgEiAR8BHQEeASIBKAEwATkBQwFMAVUBWwFgAWIBYQFfAVsBVgFRAUwBSAFFAUUBRgFKAU4BVQFcAWQBbAF0AXwBggGHAYwBjwGQAZEBkAGNAYkBhAF+AXYBbgFkAVoBTwFFATsBMgEpAKQAmQCQAIgAgwCAAIAAgwCIAI8AmQCkALEAvwDOAN0A7QD8AQwBGwEqATgBRgFTAV8BawF2AYABigGTAZwBpQGuAbgBwgHMAdgB4wHwAf0CCgIWAiICLQI3Aj8CRgJLAk8CUgJUAlYCWAJcAmECZwJwAnwCigKbAq0CwQLXAu0DAwMZAy0DQQNTA2QDdAOCA5ADnQOpA7UDwQPNA9gD4wPuA/kEAwQNBBUEHgQmBC4ENgQ+BEcEUQRcBGgEdQSDBJIEoASvBL0EygTVBN4E5gTsBPEE9AT2BPcE+AT5BPoE/AT9BP4E/wT/BP4E+wT2BO4E5ATZBMsEvASsBJ0EjgSBBHYEbgRoBGUEZQRnBGoEbwRzBHgEewR9BH0EfAR5BHUEbwRqBGQEXgRZBFQEUQROBEsESgRIBEcERQRDBEIEQAQ+BD0EPQQ+BEAEQwRIBE4EUwRZBF4EYgRkBGQEYARaBFEERgQ4BCoEGwQNBAAD9QPuA+kD6APpA+4D9AP7BAMECwQRBBUEFwQXBBUEEQQMBAcEAgP+A/wD/QQABAYEDwQaBCcENARCBE8EWwRlBGwEcARyBHAEawRkBFsEUQREBDcEKQQaBAwD/QPuA+AD0wPGA7sDsQOqA6UDowOkA6gDrwO5A8QD0APdA+kD8gP5A/wD+wP1A+kD2QPEA6sDkAN0A1YDOgMgAwgC8wLhAtMCxwK+ArYCrwKnAp4CkwKFAnUCYwJNAjcCHwIHAfEB3AHJAbsBrwGoAaUBpAGnAawBsgG4Ab0BwAHCAcEBvQG2Aa4BowGXAYsBfwF1AWwBZgFiAWEBYgFlAWoBbgFyAXYBdwF2AXMBbAFjAVgBSwE9AS8BIQEUAQkBAAD4APMA7gDrAOgA5ADeANcAzQDBALMAowCSAIAAbgBeAE8AQgA5ADIALQArACkAKQAoACUAIAAYAAz//f/q/9T/uv+f/4P/Zv9K/y//Ff78/uX+zv65/qP+jf52/l3+Q/4m/gf95/3G/aT9gv1h/UD9If0D/Of8zPyy/Jf8ffxh/EP8I/wA+9r7sfuE+1T7Ivru+rj6gvpN+hj55fm1+Yf5Xfk2+RP49PjY+MD4rPib+I34g/h7+HX4cfhv+G34bfht+G74bfhs+Gr4Z/hh+Fn4TvhB+DD4HfgF9+r3zPer94f3YPc39w324fa29or2X/Y19g315vXA9Zz1efVX9Tb1FPTy9M70q/SF9F/0OPQQ8+nzwfOa83TzUPMt8w3y7vLQ8rTymfJ/8mXyTPIy8hjx/fHj8cjxrvGV8XzxZPFN8TfxIfEL8PXw3/DH8K/wlvB88GLwSPAu8BbwAO/t797v0u/K78bvxO/F78fvye/J78fvwu+476rvmO+B72fvS+8t7w/u8u7X7r3up+6S7oDucO5f7k/uPe4o7hHt9u3X7bXtke1s7UbtIOz97Nzsv+yn7JPshOx57HDsauxm7GHsXOxU7ErsPewt7BrsBOvr69HrteuY63vrX+tE6ynrEOr46uLqzeq66qfqluqG6nbqZ+pZ6krqPOou6h/qEOoB6fHp4unS6cPptOmm6Zrpj+mH6YDpe+l56Xnpeul96YHphumL6ZHpl+md6aTprOm06b3pyOnT6eHp7+n+6g7qHuou6j3qS+pX6mLqa+pz6nvqg+qM6pfqpeq16sjq3ur36xLrLetI62HrduuG65HrlOuQ64Xrc+tb6z/rIOsA6t/qweql6o3qeupr6mDqWupW6lXqVupY6lrqXOpd6l7qX+pg6mHqY+pm6mjqa+pu6nDqcOpu6mjqYOpU6kTqMuoe6gnp9Onh6dLpxunB6cHpx+nT6eTp+OoP6ifqPupT6mTqcep46nnqdupt6mHqUupB6jDqH+oP6gDp9Onp6eDp2OnQ6cjpwOm36a3poumW6YnpfOlu6WLpVulL6ULpOuk06S/pLOkq6SjpKOkn6SjpKOkp6SrpLOkv6TLpNuk76UDpRelL6VHpVulb6V/pYull6WbpZ+lm6WXpZOli6WDpXelb6VnpV+lV6VLpUOlO6UvpSOlE6UDpPOk36TLpLOkm6SDpGekT6Q3pB+kD6P/o/Oj76Pvo/ukC6QnpEukc6SnpNulF6VXpZOl06YLpkOmd6ajpsum66cHpyOnN6dLp1+nc6eHp5uns6fLp+On+6gTqCeoP6hTqGeoe6iLqJuor6jDqNeo66kDqRupM6lLqWepg6mbqbepz6nnqgOqH6o7qluqe6qjqs+rA6s3q3Ors6vzrDesf6zDrQetS62PrdOuE65Trpeu268jr2+vw7AfsIOw67FfsdeyV7Lbs1+z47RntOu1Y7XXtkO2p7b/t0+3l7fXuBO4S7h7uK+447kbuVO5j7nPuhO6W7qnuvO7P7uHu8+8D7xLvH+8r7zXvPe9E70vvUO9W713vZO9s73XvgO+N75vvqu+7787v4e/28AvwIfA48FHwavCE8KDwvfDb8PrxG/E78VvxevGY8bPxyvHe8e3x9/H88fvx9fHr8d3xzPG58abxkvGB8XLxZvFd8VnxWPFa8WDxaPFy8X3xiPGS8ZzxpPGq8a/xs/G28bjxuvG88b7xwvHG8cvx0vHZ8eDx6PHw8fjx//IF8gvyEfIW8hvyIPIm8izyM/I68kLySvJS8lnyYPJm8mvybvJw8nHycPJw8nDycPJy8nXye/KE8o/ynfKt8r/y0/Lo8v7zE/Mo8zvzTvNf82/zffOL85jzpfOx877zzPPa8+jz9/QG9Bb0JfQ19ET0U/Ri9HL0gfSS9KP0tfTK9N/09vUO9Sj1QvVd9Xj1kvWs9cT12/Xx9gX2GfYr9j72UPZj9nf2jPah9rj20Pbo9wD3GPcw90b3W/dw94L3lPel97X3xvfX9+r3//gV+C74Sfhl+IP4ofi/+Nv49PkJ+Rr5Jfkq+Sj5IPkR+P344/jG+Kf4h/hn+Er4Mfge+BH4C/gO+Bn4LPhH+Gj4jvi5+OX5Efk7+WH5gfmZ+an5r/mr+Z35hflk+Tz5D/je+Kv4ePhI+B339/fZ98P3tvex97X3wffS9+n4A/gg+D34Wfhy+In4nPir+Lb4vvjD+Mb4x/jJ+Mz40PjX+OD47Pj7+Q35IPk0+Uj5Wvlr+Xj5gfmH+Yn5hvmB+Xn5cPlm+V75WPlV+Vf5Xfln+Xb5ifmf+bj50vnr+gT6Gvot+j36SvpT+lj6XPpd+l36Xfpe+l/6Yvpn+m36dfp9+ob6jvqW+pz6oPqj+qT6o/qg+p36mfqV+pH6jvqN+oz6jfqO+pD6kvqU+pb6lvqV+pL6j/qK+oX6gPp7+nf6dfp0+nX6efqA+oj6kvqe+qr6t/rE+tH63fro+vH6+vsC+wn7D/sV+xr7H/sk+yn7Lvsy+zb7Ofs8+z37Pvs++z77Pfs8+zz7O/s7+zv7PPs++z/7QftD+0T7RftF+0T7Q/tB+0D7P/s/+0D7Q/tI+077V/th+237efuG+5T7ofut+7n7xPvQ+9z76fv5/Ar8IPw5/Fb8ePyd/MX87/0b/Ub9cf2Z/b793/38/hX+Kv47/kr+V/5j/m/+e/6H/pX+pP60/sP+0/7i/u/++/8G/w//Fv8d/yP/Kf8w/zj/Qv9M/1j/Y/9v/3n/gv+I/4z/i/+I/4L/ev9w/2j/YP9c/1z/YP9r/3z/kv+t/8v/7AAOADAATwBrAIIAlQCjAKsArwCwAK8ArACoAKYApACkAKYAqQCtALIAtwC7AL4AvwC+ALsAtwCyAKwApQCgAJsAmACXAJkAnAChAKgAsAC5AMIAywDTANsA4wDpAO4A8wD3APoA/AD+AP8A/gD9APoA9gDvAOgA3wDUAMkAvACwAB0AC//7/+z/4f/Z/9X/1f/Z/+H/7P/6AAoAHAAuAEEAVABnAHgAiQCZAKcAtQDCAM4A2gDmAPIA/gEKARYBIwEwAT0BSgFYAWUBcgF/AYsBlwGiAawBtQG9AcQBygHPAdMB1wHbAd4B4gHmAewB8wH6AgQCDgIbAigCNwJHAlgCaQJ7Ao0CoAKzAsYC2gLtAwEDFQMpAzwDUANiA3QDhQOUA6IDrgO5A8IDyQPRA9cD3QPkA+sD9AP+BAkEFgQkBDIEQgRRBGAEbgR7BIUEjgSVBJoEnQSeBJ8EoASgBKAEoQSiBKQEpgSoBKoEqwSsBKoEqASjBJ0ElQSMBIIEdwRsBGIEWARPBEcEQQQ7BDYEMgQuBCoEJgQhBBwEFwQRBAwEBgQBA/0D+QP3A/UD9QP1A/cD+AP7A/0D/wQCBAQEBgQJBAwEDwQTBBcEHAQiBCgELgQzBDYEOQQ5BDYEMQQpBB8EEgQEA/UD5gPXA8oDwAO5A7QDswO1A7oDwQPJA9ED2QPfA+QD5gPmA+MD3gPXA88DxwPAA7oDtwO2A7gDvQPFA9AD3APqA/gEBgQUBB8EKAQvBDIEMwQxBCwEJAQbBBAEAwP2A+gD2gPMA78DsgOnA54DlgOQA40DiwOMA48DlAOaA6ADpwOtA7IDtAO0A7EDqwOhA5MDgwNwA1wDRgMwAxsDBwL1AuUC2ALNAsQCvAK0AqwCpAKZAowCfAJpAlMCOwIhAgYB6wHRAbkBpAGTAYYBfgF6AXoBfwGFAY4BmAGhAakBrwGyAbMBsAGrAaMBmQGPAYUBewF0AW4BawFsAW8BdAF7AYMBigGRAZYBmAGWAZEBiAF7AWsBWAFEAS4BGAECAO4A3ADMAL0AsACkAJkAjQCBAHMAYwBQADwAJQAM//L/2P+//6b/kf9+/27/Yv9a/1X/Uv9S/1P/Vf9W/1b/Vf9S/03/Rf87/y//Iv8T/wT+9P7i/tH+vv6r/pb+gP5o/k/+M/4W/ff91v21/ZL9cP1N/Sz9C/zr/Mz8rfyP/HH8U/wz/BL77vvI+6D7dftH+xf65fqy+n76S/oZ+ej5ufmN+WP5PfkZ+Pn42/jA+Kf4j/h6+Gf4VPhE+DX4KPge+BX4DvgK+Aj4CPgK+A34EfgU+Bf4F/gV+A/4Bff39+P3y/et94v3Zfc89xH25Pa29on2XfYz9gr14/W/9Zv1efVY9Tb1FfTy9M70qfSC9Fr0MvQJ8+DzuPOR82zzSPMm8wXy5vLJ8qvyj/Jy8lXyOPIa8fzx3vHA8aPxhvFs8VTxPfEo8RXxBPDz8OPw0fC+8Krwk/B68F/wQvAk8Abv6O/N77Tvnu+N74Dvd+9y73Dvce9z73Tvde9z727vZu9a70vvOe8k7w7u9u7f7sjus+6f7o3ufO5s7l3uTO477ifuEe357d3tv+2f7X3tW+057Rjs+ezd7MTsr+yc7I3sgOx27GzsYuxY7E3sQOwx7B/sC+v1693rw+up647rdOta60LrK+sW6wLq8Org6tDqwuqz6qXqluqG6nXqY+pQ6jvqJuoQ6frp5enQ6b3prOme6ZLpiumE6YLpgumE6YjpjemT6Znpnumj6afpqumt6a/psem06bjpvunG6c/p2+nq6frqC+oe6jHqROpX6mnqe+qM6pzqrOq96s/q4ur26wvrIus761Pra+uC65frqOu167zrvuu667DroeuN63brXOtB6ybrDOr16uDqzurA6rXqruqp6qfqpuqn6qnqrOqv6rLqteq56r7qwurH6svqzurQ6tDqzurI6r/qs+qj6o/qeeph6knqMeob6gjp+unx6e3p7+n36gPqFOon6jzqUepk6nXqg+qN6pLqk+qQ6onqf+pz6mbqWOpK6jzqL+oi6hbqCun+6fLp5enY6cvpvemv6aLplOmH6Xvpcelo6WDpWulW6VLpT+lN6UvpSelH6UXpQ+lB6T/pPuk+6T7pQOlD6UfpTelT6VnpYOln6W7pdOl56X3pf+mA6YDpf+l96Xrpd+lz6XDpbelq6WfpZelk6WPpYuli6WLpYulj6WPpZOlk6WPpY+li6WDpX+ld6VzpW+lZ6VnpWela6VzpYOlk6WrpcOl46YDpiemT6Zzppumv6bnpwunL6dTp3Onl6e7p+OoB6gvqFuoh6i3qOOpE6k/qWupk6m3qdep86oLqh+qK6ozqjuqP6pDqkOqR6pLqlOqW6prqnuqk6qvqs+q96sfq0+rg6u3q++sK6xjrJ+s160PrUetd62nrdet/64rrlOud66jrs+u/68zr2uvq6/zsD+wl7DvsU+xr7ITsney17Mzs4uz37QrtHO0s7TvtSe1W7WPtce1/7Y7toO2y7cft3u327hDuKu5F7mDuee6R7qfuuu7L7tju4+7r7vHu9e747vru/O7/7wTvC+8U7x/vLe8+71HvZe9875Tvre/G7+Dv+vAU8C/wSfBk8H/wm/C28NHw7PEG8R/xNfFK8VvxaPFy8XfxePF18W/xZfFZ8UvxPfEw8STxGfES8Q7xDvEQ8RfxIPEr8TjxR/FV8WPxcfF98YjxkvGb8aLxqfGv8bXxu/HB8cfxzfHU8dvx4fHn8ezx8fH08fbx+PH68fzx/vIB8gXyCvIR8hryJfIw8j3ySfJW8mHya/Jz8nnyfPJ98nzyevJ28nLybvJr8mnyafJr8nDyd/KA8oryl/Kl8rPywfLQ8t/y7vL98wvzGvMq8zrzSvNc823zgPOS86PztPPE89Lz3vPp8/Lz+vQB9Aj0D/QX9CD0LPQ79E30YvR69JX0svTR9PH1EfUx9VH1b/WN9an1xfXg9fv2FfYx9k32a/aJ9qj2x/bm9wX3Ivc+91j3cPeF95j3qve798v33ffw+AX4Hvg6+Fn4fPih+Mj47/kU+Tf5Vvlu+X/5iPmH+X35avlO+Sv5AvjU+KT4dPhG+Bz3+Pfb98f3vPe798X31/fz+Bb4P/hs+Jz4zfj8+Sj5T/lw+Yj5mPmf+Zv5jvl5+Vz5N/kO+OL4tfiI+F74Ofga+AP38/ft9+/3+vgM+CX4Qvhi+IT4pvjG+OL4+/kO+R35Jvkr+Sz5K/ko+SX5I/kj+SX5K/k1+UH5Ufli+XT5h/mY+af5s/m7+b/5wPm9+bf5r/ml+Zz5k/mN+Yn5iPmL+ZH5m/mn+bb5xfnV+eT58vn/+gn6EfoY+h36Ifok+if6K/ov+jX6PPpE+k36V/pg+mn6cvp5+n76gfqD+oP6gvp/+n36evp4+nf6d/p4+nr6ffqA+oP6hvqI+oj6hvqD+n/6efpx+mr6Yvpb+lX6UfpQ+lD6U/pY+l/6aPpy+n36iPqT+p76p/qw+rj6v/rF+sv60frW+tv64Prl+ur67frw+vL68/rz+vL68Prt+un65fri+t/63frc+t363vrh+uT66Prs+u/68vr0+vX69fr1+vX69Pr1+vb6+vr/+wf7Evsf+y77P/tR+2X7efuN+6L7tvvL+9/79fwL/CT8P/xc/Hz8n/zF/Oz9Ff09/WX9i/2u/c395/38/gz+F/4d/h/+Hv4c/hj+FP4Q/g/+D/4S/hf+Hv4n/jL+Pv5L/ln+Z/52/oX+lf6k/rT+xf7V/uT+8/8B/w7/Gf8h/yj/LP8t/y7/LP8r/yr/Kv8r/zD/N/9C/1H/Yv92/4z/ov+6/8//5P/2AAUAEQAaACAAJAAmACYAJgAmACYAJgAoACkAKgAsACwALAAqACcAIgAbABMACwAC//n/8v/s/+f/5f/l/+j/7f/z//sABAAOABgAIQArADQAPABFAE0AVQBcAGQAawByAHgAfQCBAIIAgQB9AHYAbQBgAFEAQQAv/8H/rP+Z/4j/e/9x/23/bf9x/3r/hv+W/6j/u//P/+P/9gAIABgAJwA1AEIATQBYAGQAbwB7AIgAlgCkALQAxQDVAOcA9wEIARcBJgEzAT8BSgFTAVsBYQFnAWwBcQF1AXkBfQGCAYYBjAGSAZgBoAGnAbABuQHDAc0B2QHlAfICAQIQAiECMgJGAloCcAKGAp4CtQLOAuUC/AMSAycDOgNLA1kDZQNwA3gDfwOFA4sDkQOXA54DpwOxA7wDygPYA+gD+AQHBBcEJQQyBD0ERgRNBFIEVQRXBFgEWQRZBFoEWwRcBF8EYgRlBGkEbARuBG8EbwRuBGoEZQReBFYETARCBDcEKwQgBBYECwQCA/gD8APoA+AD2QPSA8sDxQO/A7kDtAOwA60DqwOrA6sDrAOvA7IDtgO7A8ADxQPKA88D1APZA94D4wPpA+8D9QP7BAAEBQQJBAwEDQQMBAkEAwP7A/AD5APWA8gDuQOrA58DlAOMA4cDhQOFA4gDjQOTA5oDoAOmA6oDrQOtA6sDpwOiA5sDlAONA4cDgwOBA4IDhgONA5YDogOwA74DzgPdA+oD9gQABAcECwQLBAgEAwP7A/AD4wPWA8cDuQOqA50DkQOHA34DeQN1A3QDdQN4A30DgwOJA5ADlgObA54DngOcA5cDjwOEA3YDZwNVA0MDMAMdAwwC/ALtAuEC1gLMAsQCvAK0AqsCoAKTAoMCcQJbAkQCKgIOAfMB1wG9AaYBkQGBAXUBbQFqAWsBbwF1AX4BhgGPAZYBnAGeAZ4BnAGWAY8BhgF9AXQBbAFnAWMBYgFlAWkBcAF5AYIBiwGTAZgBmgGZAZMBiQF7AWgBUwE7ASIBCADuANUAvgCpAJYAhAB1AGYAWABJADkAJwAU//7/5v/M/7D/k/92/1r/QP8o/xT/A/73/u7+6v7p/uv+8P72/v3/BP8K/w7/Ef8R/w//C/8D/vn+7f7e/s3+uv6l/o7+dv5b/j7+IP4B/eD9v/2d/Xr9WP02/RT88/zS/LL8k/xz/FT8M/wS++/7y/uk+3z7Uvsm+vj6yvqb+mz6PfoQ+eT5ufmR+Wv5Rvkj+QL44vjD+KX4iPhr+E/4NPgb+AP37vfc9833w/e897n3u/fA98j30ffc9+b37/f19/b38/fr99z3xver94v3Zfc89xD24va09ob2WvYv9gf14PW89Zr1ePVX9Tf1FfTy9M70qfSC9Fn0MfQI89/zt/OR82zzSfMo8wny7PLP8rPyl/J68l3yP/Ig8gDx3/G/8aDxgvFl8UvxMvEd8Qnw9/Dn8NfwxvC18KHwjPB08FnwPfAe7//v4O/C76fvj+9672vvYO9Z71bvV+9a717vYu9l72XvY+9d71TvR+837yTvD+757uPuzu657qbulO6D7nPuY+5T7kLuMO4b7gTt6+3P7bHtke1x7VHtMe0T7Pbs3OzF7LDsn+yP7IHsdOxo7FzsT+xA7DDsHuwL6/Xr3+vH66/rlut+62frUes96yrrGOsI6vjq6era6srqueqn6pTqf+pp6lHqOeog6gjp8enb6cjpuOmq6aDpmumX6Zfpmeme6aPpqemw6bXpuum96cDpwenB6cDpwOnB6cLpxunL6dPp3enq6fnqCuoc6jDqROpZ6m7qg+qY6q7qw+rZ6u/rBusd6zXrTutm637rlOun67jrxOvM68/rzevF67jrp+uS63vrYutI6y/rGOsD6vLq4+rZ6tLqz+rO6tDq0+rY6t7q5Orq6vDq9er66v7rAusF6wfrB+sG6wPq/er16uvq3erN6rvqp+qT6n7qaupX6kfqO+oy6i7qLuoz6jvqR+pV6mXqdeqF6pTqoeqr6rLqtuq36rXqsOqp6qDqluqL6n/qcupk6lbqSOo56irqG+oL6fzp7Ond6c/pwem16anpoOmX6ZDpiumF6YDpfOl36XPpb+lq6WXpYOlb6VfpU+lR6VDpUelU6VjpXulm6W7pd+mB6YrpkumZ6Z/po+ml6aXppOmg6Zzpl+mR6YzphumB6X3pe+l56Xrpe+l+6YPpiOmO6ZXpnOmj6arpsOm16bnpu+m96b3pvOm66bfptOmw6a3pq+mp6afpqOmp6azpsOm26b3pxOnN6dfp4enr6ffqAuoO6hrqJuoz6kDqTupc6mrqeOqH6pXqo+qw6rzqxurP6tfq3Org6uLq4urg6t7q2+rY6tXq0urR6tHq0urW6tzq5Ort6vnrBusU6yPrMutB60/rXetp63Xrf+uH64/rleub66Hrpuus67PrvOvF69Hr3evs6/zsDewe7DDsQuxT7GPscex+7Inskuya7KDspeyp7K7stOy77MXs0uzh7PXtDO0m7UTtZO2H7avtz+3y7hTuNO5Q7mnufu6O7pruo+6o7qruqu6p7qjuqO6p7q3us+687sju1+7q7v/vF+8x703vau+H76bvxe/k8ATwI/BC8GHwf/Cd8Lnw0/Dr8QHxE/Ei8S3xNPE28TXxL/En8RvxDvEA8PLw5fDa8NHwzPDK8Mvw0PDZ8OXw8/EC8RPxJPE18UbxVvFl8XTxgfGN8ZnxpPGv8brxxPHP8dnx4/Hr8fPx+fH+8gHyA/IE8gPyA/IC8gHyAvIF8gnyD/IX8iLyLvI78knyV/Jk8nDyefKB8oXyiPKH8oXygPJ78nXyb/Jp8mXyYvJh8mHyZPJo8m7ydfJ98obykPKa8qbys/LA8tDy4PLy8wXzGvMv80XzWvNv84LzlPOj87DzuvPB88XzyPPK88vzzfPR89fz4PPs8/30EfQo9EP0YfSA9KH0wvTk9QX1JfVF9WT1g/Wj9cL15PYG9ir2T/Z29p32xfbr9xH3NPdU93H3i/eh97T3xffV9+X39vgK+CH4PPhc+ID4qPjT+QD5LflY+X/5oPm4+cf5yvnD+a/5kPlo+Tb4//jD+Ib4SvgS99/3tPeT93z3cPdv93j3i/en98n38Pgc+En4dfih+Mn47PkK+SL5M/k8+T75Ofkt+Rv5BPjp+Mv4q/iL+G34Uvg6+Cj4HfgX+Bn4Ivgx+EX4Xvh7+Jn4t/jV+PD5B/kb+Sn5M/k4+Tn5Nvkx+Sv5Jvkh+R75H/ki+Sn5Mvk/+U35Xflt+X35i/mW+Z/5pfmo+an5p/mj+Z75mPmT+Y/5jfmM+Y35kfmW+Z35pfmt+bb5v/nH+c/51/nd+eT56vnw+ff5/voF+g36Ffoe+if6L/o3+j36Q/pH+kv6TfpO+k76TvpO+k/6UPpT+lb6Wvpf+mT6avpv+nP6dfp2+nb6c/pu+mj6YfpZ+lL6S/pF+kL6QPpA+kP6SPpP+lj6Yfpr+nX6fvqH+o76lfqa+p76oPqj+qT6pvqn+qn6qvqr+qz6rfqt+qz6q/qo+qX6ofqd+pj6lPqR+o/6j/qQ+pL6lvqc+qL6qfqw+rb6vPrA+sT6xvrH+sn6yvrM+tD61vrf+uv6+vsM+yL7OvtV+3H7jvur+8j75Pv//Bn8MvxL/GP8fPyV/K/8yfzl/QL9H/07/Vf9cf2J/Z39rf25/cD9w/3A/br9sf2m/Zn9jP2A/Xb9bv1p/Wn9bP1y/X39iv2b/a79w/3Z/fD+CP4f/jb+TP5h/nT+hv6W/qX+sf67/sT+y/7R/tb+2/7f/uT+6f7w/vf/AP8L/xb/I/8x/z//TP9a/2b/cf97/4P/iv+Q/5X/mf+d/6D/pP+n/6v/r/+y/7X/t/+3/7f/tP+w/6r/o/+b/5L/if+B/3n/c/9u/2z/a/9t/3H/dv98/4T/jP+V/53/pv+u/7f/wP/J/9L/3f/n//P//gAJABQAHQAlACoALAAqACQAGwAO//3/6v/W/4P/cP9e/0//RP89/zv/Pv9F/1H/YP9y/4X/mv+u/8L/1P/l//QAAQANABcAIAAqADMAPQBJAFYAZAB0AIUAlwCqAL0AzwDgAPAA/wEMARcBIAEnAS0BMgE3AToBPgFDAUgBTQFUAVsBYwFsAXUBfgGIAZIBnAGmAbEBuwHGAdIB3gHsAfsCCwIcAi8CQgJXAm0CgwKYAq4CwgLVAucC9gMEAxADGQMiAykDLwM1AzsDQQNIA1EDWwNnA3QDgwOSA6EDsQPAA80D2gPlA+0D9AP5A/wD/QP+A/4D/gP+A/8EAQQDBAcECwQPBBQEGAQbBB4EHwQeBBwEFwQRBAkEAAP2A+sD4APVA8oDvwO2A60DpQOdA5cDkQOMA4cDgwN/A30DegN4A3cDdwN3A3gDegN9A38DgwOHA4sDjwOTA5gDnAOhA6YDrAOxA7cDvAPCA8gDzgPSA9YD2APZA9gD1QPQA8kDwAO1A6oDngOSA4cDfQN1A28DagNpA2kDawNuA3IDdwN7A38DggOEA4QDgwOBA30DegN2A3QDcgNzA3UDegOCA4wDmAOlA7QDxAPTA+ID7wP6BAIECAQKBAgEBAP8A/ID5QPXA8gDuAOpA5oDjQOCA3kDcgNuA2wDbANvA3IDdwN8A4EDhgOIA4kDiAOEA30DdANpA1sDTAM7AyoDGAMIAvgC6QLcAtACxgK9ArUCrQKkApsCkQKFAnYCZgJTAj4CKAIQAfkB4gHMAbcBpgGYAY0BhQGCAYEBgwGGAYsBkQGWAZoBnQGeAZ0BmQGUAY0BhgF+AXYBcAFrAWgBaAFqAW4BcwF6AYIBiAGOAZEBkgGPAYgBfQFvAV0BSAExARkBAADoANEAuwCnAJUAhQB2AGkAXQBQAEIAMwAiAA//+v/i/8j/rf+R/3X/Wv9C/yv/GP8J/v7+9/7z/vP+9v78/wL/Cv8R/xb/G/8d/xz/GP8R/wf++f7o/tX+v/6m/ov+b/5Q/jD+D/3u/cz9qf2G/WP9QP0e/Pz82/y6/Jr8efxZ/Dn8GPv3+9X7svuO+2n7Q/sd+vb6zvqm+n/6WPox+gv55vnB+Z35eflV+TH5Dfjo+MP4nfh3+FL4LfgK9+r3zPez9573jveE9373fveC94r3lPeg96v3tfe897/3vfe296j3lPd691v3N/cQ9uf2vPaR9mf2P/YZ9fT10vWy9ZP1dfVX9Tn1GfT49NX0sPSK9GL0OvQR8+nzwvOd83rzWfM78x7zA/Lp8tDyt/Kd8oLyZvJI8iryCvHq8cnxqfGK8W3xUvE48SHxDPD48OXw0/DA8KzwmPCB8GnwT/A18Bnv/u/j78vvtO+h75Lvh+9/73vvee9673zvfu9/737ve+9172zvX+9Q7z7vKu8V7wDu6+7W7sLusO6f7o7uf+5v7l7uTe457iTuDO3y7dbtt+2Y7XjtV+037Rns/ezj7Mvst+yl7JXsh+x67G7sYuxV7EfsOOwn7BXsAevs69brv+uo65Hreutl61DrPOsp6xfrBOry6uDqzuq66qbqkep76mXqTuo46iLqDun76erp3OnR6cjpwum/6b7pv+nB6cTpyOnM6c/p0unU6dXp1unX6djp2unc6eDp5ens6fTp/uoK6hfqJuo16kXqVupo6nnqjOqf6rPqyerf6vfrEOsp60TrXut464/rpeu368XrzuvR687rxuu466Xrjut061jrO+sf6wXq7urb6szqw+q+6r7qwerJ6tLq3urq6vbrAusM6xXrHOsh6yTrJesk6yLrHusZ6xLrCusB6vfq7Org6tPqx+q66q3qoeqW6o3qhuqB6n7qfuqB6obqjeqW6p/qquq16r/qyOrQ6tbq2+rd6t7q3OrZ6tPqzOrD6rnqreqh6pPqhOp16mXqVepF6jXqJeoW6gfp+unu6ePp2enQ6cjpwem76bTprumo6aLpm+mU6Y7piOmC6X3peul46Xfpeel96YLpiemR6ZrppOmt6bfpv+nG6cvpz+nQ6dDpzenJ6cPpvem16a7pp+mh6ZzpmemX6Zfpmeme6aTpq+m06b7pyOnS6dzp5enu6fTp+un96f/p/+n96frp9uny6e7p6enm6ePp4unj6ebp6unx6fnqA+oO6hrqKOo16kPqUepf6m3qe+qI6pbqo+qw6r3qyerW6uLq7ur56wPrDOsT6xnrHOse6x3rG+sW6xHrCusD6vzq9urx6u7q7urv6vTq++sF6xHrH+sv6z/rUOth63Hrf+uM65froOun663rsuu167nrvevB68frzuvX6+Lr7uv77ArsGewo7DbsQuxN7FXsWuxd7FzsWexU7E7sR+xB7DzsOew67D7sSOxW7Grsg+yh7MPs6O0R7TrtY+2M7bLt1u317hHuJ+457kfuUO5W7lruXO5d7l3uX+5i7mjucO567ojume6t7sPu2+727xLvL+9N72zvjO+s783v7fAN8C3wTfBq8IfwofC48M3w3vDr8PXw+vD78Pnw8/Dr8OHw1vDK8L/wtvCv8KrwqPCq8K7wtvDB8M3w3PDs8P3xDvEf8THxQvFS8WPxc/GD8ZPxo/Gy8cLx0fHf8e3x+PID8gvyEvIW8hnyGvIZ8hjyFvIU8hPyFPIW8hvyIvIr8jbyQ/JQ8l7ybPJ58oXyj/KW8pvynfKd8pvyl/KS8o3yh/KC8n3yefJ38nbydvJ38nryfvKE8orykvKb8qbysvLA8tDy4vL18wrzIPM2803zYvN384nzmfOn87LzufO/88PzxfPH88rzzfPT89zz6PP39Ar0IPQ59FT0cPSO9Kz0yfTm9QP1H/U69Vb1c/WR9bL11PX69iL2TPZ49qb20/b/9yn3UPdz95L3rPfD99X35vf1+AX4Fvgr+EX4ZPiJ+LP44/kW+Uv5f/mw+dz6APoZ+iX6JPoV+ff5y/mU+VP5C/i++HH4Jvfg96L3bvdF9yn3GfcW9x73MfdM9273lPe89+b4Dvgz+FT4cfiI+Jr4pvis+K34qvii+Jb4iPh3+GX4UvhA+C74H/gS+Aj4Aff/+AL4CPgU+CL4NfhK+GH4efiQ+Kb4uvjM+Nr45fjr+O/47/ju+Or45vji+OD43/jg+OT46vj0+QD5Dvkd+Sz5PPlL+Vn5Zflv+Xf5fPl/+YH5gfmA+X75ffl7+Xr5evl6+Xz5f/mC+Yf5jPmT+Zn5oPmo+bD5ufnB+cr50vnb+eL56fnw+fX5+vn9+f/6AfoB+gH6AfoB+gL6A/oF+gn6DvoU+hv6I/or+jL6Ofo/+kP6RPpE+kL6Pvo4+jL6K/ol+h/6G/oa+hr6Hvok+iz6N/pD+lD6Xfpq+nb6gPqI+o/6k/qV+pX6k/qQ+o36ifqE+oD6e/p3+nT6cPps+mj6Zfph+l36WfpW+lP6UvpR+lP6VfpZ+l/6Zvpu+nf6gPqI+pD6l/qd+qL6pvqq+q/6tPq6+sP6z/rf+vL7Cfsk+0P7ZPuI+6z70Pv0/Bb8NPxQ/Gn8fvyQ/J/8rPy4/ML8zPzW/OH87fz6/Qf9FP0h/Sz9Nv0+/UP9Rf1E/UD9Of0w/Sb9Gv0P/QX8/Pz3/PT89Pz5/QH9Df0c/S79Qv1Y/W/9hv2d/bT9yf3d/e/+AP4O/hv+J/4x/jr+Q/5L/lL+Wv5i/mv+dP59/of+kf6c/qf+sf67/sT+zf7V/tz+4/7o/u7+8/74/vz/Af8H/wz/Ev8Y/x7/JP8p/y3/L/8x/zH/MP8u/yr/Jv8h/xz/GP8V/xP/Ev8T/xX/GP8d/yP/Kf8v/zb/PP9D/0j/Tv9U/1v/Yv9q/3T/f/+L/5j/pv+0/8H/zf/Y/9//4//j/+D/1//M/7z/qv+X/zb/Jf8W/wr/Av7+/v//BP8P/x3/L/9D/1n/b/+F/5r/rf++/83/2v/l/+7/9///AAgAEQAcACcANABDAFMAZAB1AIcAmACoALYAwwDPANgA4ADnAO0A8gD2APsBAAEGAQ0BFgEfASkBNAFAAU0BWQFmAXIBfgGJAZUBoAGqAbUBwQHMAdkB5gH0AgICEgIiAjICQgJRAmACbQJ6AoUCjgKWAp0CowKpAq4CtAK6AsECyQLTAt8C7AL6AwoDGQMqAzkDSANVA2ADagNxA3UDeAN4A3cDdANxA24DbANqA2kDaQNrA24DcgN2A3sDgAOFA4gDiwOLA4sDiAOEA34DdwNwA2cDXwNXA08DSANCAz0DOQM3AzUDNAMzAzQDNAM2AzcDOAM6AzsDPQM/A0ADQgNEA0UDRwNJA0oDTANOA1ADUgNVA1gDXANgA2UDawNxA3gDfwOGA4wDkgOXA5sDnQOdA5sDmAOUA44DhwN/A3cDcANpA2IDXgNaA1gDWANZA1sDXQNgA2QDZwNqA2wDbgNvA3EDcQNzA3UDeAN8A4IDiQOSA54DqgO4A8cD1wPmA/UEAgQNBBYEHAQfBB8EGwQVBAwEAAPzA+UD1QPFA7YDpwOaA44DgwN6A3QDbgNqA2cDZANiA18DXANXA1EDSQNAAzQDJwMZAwoC+QLpAtgCyAK5AqsCngKTAokCgQJ6AnMCbQJnAmACWQJQAkYCOgItAh8CEAH/Ae8B3gHPAcABtAGpAaABmgGWAZQBlAGWAZgBmwGeAaABogGjAaIBoQGeAZsBlwGTAY8BjAGJAYgBiAGKAYwBjwGSAZUBlwGYAZcBkwGMAYMBdwFoAVcBRAEwARsBBgDyAN8AzQC9AK8AowCYAI0AgwB5AG0AYABRAEAALQAX////5v/L/7D/lv99/2b/Uf9A/zL/KP8h/x7/Hf8e/yH/Jf8p/yv/Lf8s/yn/I/8a/w3+/v7r/tX+vP6h/oT+Zf5F/iP+AP3c/bj9lP1w/Uv9J/0D/OD8vfya/Hj8V/w2/BX79fvV+7X7lft2+1f7OPsa+vv63fq/+qH6g/pl+kf6J/oI+eb5xPmg+Xr5Uvko+P340Pij+HX4SPgd9/T3zvet95D3ePdm91n3UfdN9033UPdU91n3XPdd91v3VfdK9zv3J/cP9vL20/ay9o/2bPZK9in2CvXs9dD1tvWd9YX1bfVT9Tn1HPT+9N30ufST9Gz0RfQc8/XzzvOq84fzaPNK8y/zFvL/8ujy0vK78qPyi/Jw8lTyN/IY8fnx2fG58ZvxffFh8UfxLvEX8QHw7fDZ8MXwsPCc8IbwcPBZ8ELwKvAU7/7v6u/Y78jvu++w76jvou+d75nvlu+S743vhu9+73TvZ+9Z70nvN+8l7xLvAO7t7tzuyu667qrume6J7nfuZO5P7jjuH+4E7ebtx+2m7YTtYu1B7SLtBOzo7M/sueym7JXshux57G7sY+xY7EzsQOwy7CPsEuwA6+zr1+vC66vrlet+62frUes86ybrEur+6unq1urC6q7qm+qI6nXqY+pR6kDqMOoi6hXqCuoB6fnp8unt6erp5+nm6eXp5Onk6eXp5uno6erp7enw6fXp++oC6grqEuoc6ibqMOo66kTqTupY6mHqa+p16oDqjOqa6qnqu+rQ6ufrAOsc6zjrVetw64rroeuz68Drx+vH68Drsuue64TrZutF6yPrAerh6sTqq+qZ6ozqheqF6ovql+qm6rjqzOrh6vXrB+sY6yXrL+s26zrrOus46zTrLusn6x/rF+sP6wfrAOr56vLq7Orm6uHq3OrY6tTq0erO6s3qzOrM6s7q0OrT6tfq3Orh6ufq7Orx6vXq+er76vzq++r56vXq8Orp6uDq1erJ6rzqruqg6pHqgepy6mPqVOpH6jrqLeoi6hjqDuoF6f3p9enu6ebp3+nY6dHpy+nF6b/puum26bPpsumy6bTpt+m76cHpyOnP6dfp3+nm6e3p8+n36frp++n76frp9+nz6e7p6enj6d3p2OnU6dHpz+nO6c/p0enU6dnp3+nl6e3p9On86gTqC+oR6hbqGuod6h/qH+of6h3qG+oY6hbqFOoT6hPqFeoY6h3qJOot6jjqROpS6mHqcOqA6o/qnuqt6rzqyerW6uLq7ur46wLrDOsV6x3rJOsr6zDrNOs36zjrN+s06y/rKOsg6xfrDesD6vnq8erq6ubq5ern6uzq9esB6w/rIOs060jrXOtw64PrlOuk67HrvOvE68rrz+vS69Xr2Ovb69/r5evt6/bsAOwM7BjsJewx7DzsRexL7E7sTuxL7ETsO+wv7CLsFOwG6/vr8uvs6+zr8Ov67ArsIOw67Frsfeyj7Mrs8u0a7UDtZO2E7aHtue3O7d/t7e347gHuCO4P7hbuHe4m7jDuPO5K7lvube6B7pfur+7H7uHu++8W7zLvTu9q74bvo++/79vv9vAQ8CnwQPBU8GfwdvCD8I3wk/CX8JnwmPCV8JLwjvCL8IjwhvCH8InwjfCU8Jzwp/Cz8MDwz/De8O7w/vEP8R/xMPFB8VPxZPF38YnxnPGv8cHx0/Hk8fTyAvIO8hjyIPIl8inyKvIr8iryKfIp8iryLPIv8jXyPvJI8lTyYvJw8n/yjvKc8qnytPK98sTyyPLK8sryyPLF8sDyu/K28rHyrfKp8qbypPKk8qXyp/Kr8rDyt/LA8szy2fLo8vnzDPMg8zXzSvNf83Tzh/OZ86jztvPB88nz0fPW89vz4fPm8+7z+PQE9BP0JvQ79FL0bPSH9KL0vfTY9PH1CfUg9Tb1S/Vg9Xb1jvWo9cb15/YM9jX2YPaO9r327Pca90X3bPeP9673x/fc9+/3//gP+CH4NvhQ+HH4mfjI+P/5O/l7+b35/vo6+m/6mfq1+sL6vfql+nz6Qvn4+aP5RPjg+Hr4F/e792j3Ifbo9r/2pvab9p/2sPbL9u33FfdA92v3lPe599r39fgJ+Bj4IPgj+CD4GvgQ+AX39/fp99v3zffB97b3rPel96H3n/ef96P3qve098H30Pfi9/X4Cvgf+DT4Sfhc+G74ffiK+JT4nPii+KX4p/io+Kn4qvit+LD4tfi8+Mb40fje+Oz4+/kL+Rv5Kvk4+UX5UPlZ+WD5Zflo+Wn5afln+WX5Y/lg+V75XPlc+Vz5Xvli+Wb5bPl0+Xz5hfmO+Zf5oPmo+a/5tfm5+bz5vfm9+bz5uvm3+bX5s/mx+bH5s/m2+br5wPnI+dD52Pnh+ej57vnz+fX59vn0+fH57Pnm+d/52vnV+dL50vnU+dr54vnu+fz6Dfoe+jH6Q/pU+mT6cfp8+oT6iPqK+on6hvqA+nn6cfpo+l/6VvpN+kX6Pfo2+jD6Kvom+iL6IPoe+h76IPoi+if6LPoz+jv6Q/pM+lX6Xvpm+m36dPp5+n/6hPqK+pH6m/qn+rb6yvrh+v77HvtC+2r7lPu+++j8Efw3/Fn8dvyN/J78qvyv/LD8rfym/J78lfyM/IT8f/x8/Hz8fvyD/Iv8k/yd/Kb8rvy1/Lv8vvzA/L/8vfy6/Lb8svyv/K78rvyw/LX8vfzG/NP84fzw/QD9Ef0i/TL9Qv1Q/V39af10/X39hv2O/Zb9nf2l/az9tP29/cb9z/3Z/eP97f32/gD+Cf4R/hj+H/4l/iv+MP41/jr+P/5F/kr+UP5X/l3+Y/5q/m/+df55/n3+f/6B/oL+gv6C/oL+gv6D/oT+h/6L/pD+l/6e/qf+sP65/sL+yv7R/tj+3v7j/uj+7P7x/vb+/P8E/w7/Gf8n/zX/Rf9U/2T/cv9+/4b/jP+N/4r/g/95/2v/Wv9I/t3+zP6+/rL+q/6o/qr+sP67/sr+3f7y/wn/IP83/03/Yf90/4T/kv+d/6j/sf+5/8H/yv/T/93/6P/1AAIAEAAfAC4APABKAFcAYwBuAHcAfwCHAI4AlACbAKIAqQCyALwAxgDSAN4A7AD5AQcBFQEjATABPAFIAVMBXgFpAXMBfQGHAZEBnAGnAbIBvQHJAdQB3gHoAfEB+QIAAgYCCwIPAhICFgIZAh4CIwIqAjICPQJJAlcCZgJ3AogCmgKrArsCyQLVAt8C5gLrAuwC6wLoAuMC3QLWAtACyQLEAsACvQK8ArwCvgLBAsQCyALMAs8C0gLUAtUC1QLTAtECzgLKAsYCwgK/ArwCugK5ArkCugK8Ar8CwwLIAs0C0gLYAt0C4gLnAuwC8ALzAvYC+AL6AvwC/AL9Av0C/gL+Av4C/wMAAwIDBQMJAw4DFAMbAyIDKwM0Az0DRgNOA1YDXQNiA2YDaQNpA2gDZgNjA18DWgNVA1ADTANIA0YDRANDA0MDRQNHA0oDTQNRA1UDWQNeA2MDaANtA3QDewODA40DlwOjA7ADvQPMA9oD6QP3BAUEEQQbBCQEKgQtBC0EKwQnBB8EFgQKA/4D7wPhA9EDwgOzA6UDlgOJA3wDbwNjA1cDSwM+AzEDJAMWAwcC9wLnAtYCxAKzAqECkAKAAnACYgJVAkoCQAI3AjACKgIlAiECHQIZAhYCEQIMAgYCAAH4Ae8B5gHcAdIBxwG9AbQBqwGkAZ0BmAGVAZIBkQGRAZIBlAGXAZkBnAGfAaIBpAGmAakBqwGtAa8BsQG0AbYBuAG6AbsBvAG8AboBtwGyAawBowGYAYsBfAFrAVoBSAE1ASMBEgEBAPIA5ADXAMwAwgC5AK8ApgCbAJAAgwBzAGIATwA5ACEACP/u/9T/uv+h/4r/df9i/1P/Rv88/zX/Mf8v/y7/Lf8u/y3/LP8p/yT/HP8S/wT+9P7h/sv+s/6Y/nr+W/46/hf98/3O/aj9gf1a/TP9DPzm/L/8mvx1/FH8LvwN++z7zfuw+5T7eftf+0f7L/sZ+wP67vrY+sP6rfqW+n76ZfpJ+iz6DPnp+cP5m/lx+UT5Ffjl+LX4hfhW+Cn3/vfX97P3lPd592L3UPdB9zX3K/cj9xv3E/cJ9v728fbh9s72ufah9oj2bfZS9jj2HfYE9e311/XC9a/1nfWK9Xj1ZPVP9Tj1HvUB9OH0v/Sb9HT0TfQl8/7z2POz85DzcPNT8zjzH/MH8vLy3PLH8rHymvKC8mnyTvIy8hTx9vHY8brxnfGA8WXxS/Ey8RvxBfDv8NrwxvCy8J3wiPBz8F7wSPAz8B/wC+/47+fv2O/K777vs++q76Lvmu+T74zvhO9873LvaO9d71DvQ+817yfvGO8I7vnu6e7Y7sjutu6j7o7ueO5g7kbuKe4L7evtyu2n7YXtYu1A7R/tAOzk7Mnssuyd7Ivse+xt7GHsVexK7EDsNewp7BzsDuv/6+7r3OvJ67XroOuK63XrX+tI6zLrHesH6vPq3+rM6rnqp+qX6ofqeOpr6l/qU+pJ6kDqOOox6irqJOof6hrqFeoR6g7qC+oJ6gjqCeoK6g3qEeoX6h7qJuov6jnqQupM6lXqXOpj6mnqbepw6nPqdep46n3qg+qM6pfqp+q66tDq6usH6yTrQutg63rrkeuj66/rs+uw66Xrkut561nrNusP6ufqweqd6n3qY+pQ6kTqQOpD6k7qXupz6ozqp+rD6t7q+OsO6yLrMes960TrSetJ60jrROs/6zrrNOsv6yrrJusi6x/rHesb6xnrF+sU6xLrEOsN6wrrCOsF6wTrA+sC6wPrBesH6wrrDesR6xTrF+sZ6xrrGesX6xTrDusG6v3q8urm6tnqy+q96q7qoOqS6oTqd+pr6mDqVupM6kPqOuoy6irqIuoa6hPqDOoG6gDp+un26fLp8Onv6e/p8enz6ffp++oB6gbqDOoR6hbqGuoe6iHqIuoj6iPqIuog6h7qHOoa6hjqFuoU6hTqE+oT6hTqFeoX6hjqGuoc6h7qH+oh6iPqJOol6ibqJ+oo6inqKeop6irqKuoq6irqK+os6i3qL+oy6jbqO+pB6kjqUepb6mbqcup+6ozqmuqo6rbqxOrS6t/q7Or46wPrDusY6yHrKesx6zfrPetB60PrROtD60DrO+s16yzrIusX6wvq/+rz6unq4OrZ6tXq1erY6t/q6er46wnrHes060vrY+t665Drpeu368fr0+vd6+Xr6uvt6+/r8evz6/Xr+Ov97APsCuwT7BzsJuwv7DfsPuxC7ETsQ+w/7DjsLuwj7BXsB+v56+3r4+vb69jr2evf6+rr+uwP7CjsRexk7IXsqOzK7OztDO0q7UXtXu107YftmO2n7bXtwe3N7dnt5e3y7gDuEO4g7jLuRu5a7nDuhu6d7rTuzO7l7v3vFe8t70XvXe9074vvoO+178nv2u/r7/nwBvAR8BnwIfAm8CvwL/Ay8DbwOfA+8EPwSvBS8FzwZ/Bz8IDwjvCd8KzwvPDM8Nvw6/D78QzxHPEu8T/xUvFl8XnxjfGh8bbxyvHd8e/x//IO8hryJfIt8jPyOPI78j3yP/JC8kXySfJP8lbyX/Jr8nfyhvKV8qXytPLD8tHy3vLo8vHy9/L78v3y/fL68vfy8vLs8uby3/LZ8tTyz/LM8sryy/LN8tLy2fLj8u/y/vMP8yLzNvNL82DzdvOK857zr/O/88zz2PPh8+nz8PP38/70B/QR9B30LPQ+9FL0afSC9J30uPTT9O71B/Ue9TT1R/VZ9Wr1evWL9Z31sfXJ9eX2BfYp9lH2fPap9tj3Bfcx91r3gPeh97331Pfp9/v4DPgf+DX4UPhy+Jz4zvkJ+U35lvnk+jP6gPrH+wT7NPtU+2D7V/s5+wX6vfpi+fj5hPkI+Ir4DveZ9y/20/aI9k/2KfYV9hP2IfY89mH2jfa99u/3H/dL93H3kfep97n3wffC9733s/em95b3hPdy92H3UfdD9zf3Lvco9yX3JPcn9y33NvdB91D3Yfd094r3ofe699P37fgG+B/4NvhK+F34bfh7+Ib4jviU+Jn4nPie+KD4ovil+Kn4r/i3+MD4y/jY+Ob49PkC+RH5Hvkr+TX5PvlF+Un5S/lM+Ur5SPlE+UD5O/k4+TX5M/kz+TX5OPk9+UT5S/lT+Vz5ZPls+XP5ePl8+X75f/l/+X35evl3+XP5cflv+W75b/ly+XX5e/mB+Yn5kPmX+Z75o/mn+an5qfmn+aT5oPmb+Zb5kvmQ+Y/5kfmW+Z/5qvm4+cn53Pnx+gb6G/ov+kH6Ufpf+mn6cPp0+nT6cvpt+mX6XPpS+kf6O/ow+iX6G/oR+gn6Avn8+fj59vn1+ff5+fn++gP6CvoS+hr6I/or+jP6OvpB+kf6TPpR+lf6Xfpk+m76evqK+p/6t/rU+vb7HPtF+3D7nfvJ+/T8HPw//F38dfyF/I78j/yK/H/8b/xb/EX8LvwY/AT78/vn+9/72/vd++L77Pv4/Ab8Fvwm/DX8Q/xP/Fn8Yfxo/Gz8b/xx/HP8dPx3/Hr8fvyE/Iv8k/yc/KX8sPy6/MX8zvzY/OH86fzw/Pf8/f0D/Qn9D/0V/Rv9Iv0o/S/9Nv0+/UX9TP1S/Vn9X/1k/Wr9b/10/Xj9ff2D/Yj9jv2U/Zv9of2o/a/9tf26/b/9xP3H/cr9y/3N/c79z/3R/dP91v3b/eH96f3y/f3+Cf4V/iL+L/48/kf+Uv5b/mP+av5w/nb+e/6B/oj+kP6Z/qX+s/7C/tL+5P71/wb/Ff8i/yv/Mf8y/y//KP8e/xD+//7u/pb+hv55/m7+Z/5k/mb+bP53/oX+l/6r/sD+1/7t/wP/F/8q/zr/Sf9W/2H/av9z/3v/hP+M/5X/oP+q/7b/wv/P/9z/6v/2AAMADwAaACQALgA3AD8ASABRAFoAYwBtAHgAhACQAJ0AqgC3AMUA0gDeAOsA9gEBAQsBFgEfASgBMgE7AUQBTgFYAWIBbAF1AX8BiAGQAZcBnQGjAacBqgGuAbABswG3AbsBwAHHAdAB2wHnAfUCBQIVAiYCOAJIAlgCZgJyAnwCgwKHAokCiAKFAoECegJzAmwCZAJdAlcCUgJPAk0CTAJMAk0CTgJRAlMCVQJWAlcCWAJYAlcCVgJVAlMCUgJRAlECUQJTAlUCVwJbAmACZQJrAnECeAJ+AoUCiwKRApcCnAKgAqQCqAKrAq0CrwKxArICswK1ArYCuAK6Ar0CwALFAsoC0QLYAuAC6gLzAv0DCAMRAxsDIwMrAzIDNwM6AzwDPQM8AzoDNwM0AzEDLQMqAyYDJAMjAyIDIgMjAyYDKQMtAzIDNwM+A0UDTQNWA2ADagN1A4EDjgOcA6oDuQPHA9YD5APxA/4ECQQSBBoEHwQiBCMEIgQfBBkEEgQJA/4D8gPmA9gDygO7A6wDnQONA34DbQNcA0wDOgMoAxUDAwLvAtwCyQK1AqICkAJ+Am0CXQJPAkICNgIrAiICGgITAg0CCAIEAgEB/QH6AfcB8wHwAesB5wHiAdwB1gHQAckBwwG8AbYBrwGqAaQBoAGcAZkBlwGWAZYBlwGYAZsBngGjAagBrgG0AboBwQHIAc8B1QHbAeAB5AHmAegB5wHkAd8B2AHQAcUBuAGqAZoBiQF3AWYBVAFCATIBIgETAQYA+gDvAOQA2wDRAMcAvQCxAKUAlgCGAHQAYABLADQAHAAE/+v/0v+7/6X/kP9+/23/X/9U/0r/Q/89/zn/Nf8y/y//K/8m/yD/F/8N/wD+8P7e/sn+sv6X/nv+W/45/hb98P3J/aH9d/1N/SP8+fzP/Kf8f/xZ/DT8Evvx+9P7t/ud+4X7b/ta+0b7NPsj+xL7Afrv+t36yvq2+qD6iPpu+lL6NPoT+fD5yvmj+Xr5UPkk+Pj4zfii+Hj4T/gp+AX34/fE96j3jvd292D3TPc49yX3Efb99un21Pa+9qb2j/Z29l72RfYu9hf2AfXt9dr1yPW39af1l/WG9XX1Y/VO9Tf1HvUC9OT0w/Sg9Hz0V/Qx9Azz5/PE86PzhPNm80vzMvMa8wPy7fLX8sHyqvKT8nryYfJG8iryDvHx8dTxuPGc8YDxZvFN8TTxHPEF8O/w2fDE8K7wmfCD8G7wWfBE8C/wHPAJ7/jv5+/Z78zvwO+2763vpe+e75jvke+L74PvfO9z72rvYO9V70jvO+8s7x3vDO767ufu0+697qbuje5y7lbuOO4Z7fnt2O237ZXtc+1T7TPtFez47N3sxOyu7Jnshux27GbsWOxL7D/sM+wn7BvsDuwB6/Pr5OvU68Prseue64vrduti603rOOsk6xDq/Orp6tfqx+q46qrqnuqU6orqg+p86nfqcupu6mrqZ+pj6mDqXepa6lfqVOpS6lHqUepS6lPqV+pb6mDqZupt6nTqeuqA6oXqiOqL6ozqjOqM6ovqi+qM6o7qk+qb6qbqterI6t7q9+sR6y3rSOth63jrieuV65rrmOuN63zrY+tD6x/q9+rN6qPqe+pX6jjqH+oO6gXqBOoL6hnqLepH6mTqhOqk6sTq4ur+6xfrK+s860jrUetX61rrW+ta61nrV+tV61PrUetQ607rTetL60nrR+tE60HrPes56zXrMesu6yvrKeso6ynrKust6zDrNOs56z3rQOtC60PrQus/6zrrM+sq6x/rEusF6vbq5+rY6srqvOqu6qLql+qM6oPqeupy6mrqYupb6lTqTepG6j/qOOoy6i3qKeom6iTqJOol6ifqKuov6jTqOeo+6kPqR+pK6k3qTupO6kzqSupH6kTqQeo+6jzqOuo56jrqO+o+6kHqRepJ6k3qUepU6lbqV+pY6lbqVOpR6k3qSOpD6j7qOuo26jPqMeox6jHqM+o36jvqQOpH6k7qVepd6mXqbup26n7qh+qQ6pjqoeqq6rPqvOrF6s/q2erj6u3q+OsC6w3rF+sh6yvrNOs960TrSutP61LrU+tS607rSetC6znrLusi6xbrCur+6vTq6+rl6uLq4urm6u7q+esJ6xvrL+tG617rduuO66XruuvO697r7Ov36//sBOwI7ArsC+wL7AzsDOwO7BDsFOwY7B7sI+wp7C/sM+w27DjsN+w17DDsKuwi7BnsD+wG6/7r9+vz6/Hr8+v57APsEOwh7DbsTuxn7IPsoOy87Nns9O0P7SftPu1S7WXtdu2F7ZTtoe2u7bvtyO3W7eXt9O4F7hfuKu4+7lTuau6B7pnuse7J7uHu+e8R7yfvPu9T72fveu+L75vvqO+077/vyO/P79bv2+/g7+Xv6e/v7/Tv+/AE8A3wGPAk8DLwQfBQ8GDwcfCC8JLwo/C08MTw1PDk8PXxBfEX8SjxO/FO8WLxd/GN8aLxt/HM8eDx8/IE8hPyIfIt8jfyP/JG8kvyUPJV8lryX/Jl8mzydfJ+8onylvKj8rDyvvLM8tny5fLw8vrzAfMH8wrzDPML8wnzBPL/8vjy8fLq8uPy3fLY8tXy1PLW8try4vLs8vrzCvMc8zHzR/Ne83Xzi/Oh87XzyPPY8+bz8vP99Ab0D/QX9CH0LPQ49Ef0WPRs9IL0mfSy9Mz05vUA9Rj1LvVD9VX1ZvV19YT1k/Wj9bX1yvXi9f72H/ZD9mv2lvbC9u73GvdE92v3jfes98b33ffw+AL4FPgo+ED4XviD+LH45/km+W35uvoK+lv6qfrx+y77XPt6+4T7ePtV+xz6zvpt+fz5f/j7+HT37/dx9v32mPZF9gT12PW/9bn1xfXf9gX2M/Zm9pz20PcB9yz3T/dr9333h/eJ94T3efdp91f3Qvcu9xr3B/b39ur24Pba9tf22Pbb9uP27fb69wv3Hfcz90r3ZPd/95v3uPfW9/L4Dvgp+EH4V/hp+Hn4hfiO+JT4mPiZ+Jn4l/iV+JT4lPiV+Jj4nfik+K34uPjF+NL44fjv+Pz5CfkU+R35I/ko+Sr5Kvko+SX5Ifkc+Rj5FPkR+Q/5D/kQ+RP5F/kc+SL5KPku+TT5Ofk9+UD5QflB+UH5P/k9+Tv5Ofk3+Tb5N/k5+Tz5QPlF+Uz5UvlZ+V/5ZPlo+Wv5bflu+W35bPlr+Wn5aPlo+Wr5bvl1+X75ifmY+aj5uvnO+eL59voK+h36Lvo9+kn6U/pZ+l36Xfpb+lX6TvpF+jv6L/oj+hf6C/oA+fX57Pnl+d/52/nZ+dn52/ne+eP56fnx+fj6APoI+hD6Fvod+iP6KPou+jT6O/pD+k36W/pr+n/6l/qy+tH69PsY+z77ZfuL+677zvvq/AD8EPwZ/Bv8F/wN+/376vvT+7v7o/uM+3j7Z/tb+1T7UvtW+177avt6+437ovu3+8z74Pvz/AT8Evwe/Cj8MPw1/Dr8PfxA/EP8RfxI/Ez8UPxV/Fr8YPxm/G38c/x6/ID8hvyN/JP8mfyf/KX8q/yx/Lf8vfzD/Mj8zvzT/Nj83Pzf/OP85fzo/Ov87fzw/PP89/z7/QD9Bv0N/RT9G/0i/Sn9MP03/T39Qv1G/Un9TP1P/VL9Vf1Z/V39Y/1q/XP9ff2I/ZT9ov2v/b39y/3Y/eT97/35/gL+Cf4R/hj+H/4n/jD+Ov5G/lT+Y/50/ob+mf6r/rz+y/7Y/uH+5v7o/uX+3v7U/sb+t/6m/mD+VP5K/kP+P/4//kL+Sf5T/mH+cf6E/pj+rP7B/tX+6P75/wn/GP8k/y//Ov9D/0z/VP9d/2f/cf98/4f/k/+g/63/uv/H/9P/4P/r//YAAQALABQAHgAnADAAOgBEAE4AWQBkAHAAfACIAJQAoACrALYAwQDLANUA3wDpAPIA+wEFAQ8BGQEjAS0BNwFCAUwBVQFeAWcBbgF1AXoBgAGEAYgBjAGRAZUBmwGiAaoBswG9AckB1gHkAfMCAgIQAh4CKwI3AkECSQJPAlQCVgJWAlUCUwJPAksCRwJDAj8COwI5AjcCNQI1AjUCNQI2AjYCNwI3AjcCNwI2AjQCMgIwAi4CKwIpAicCJQIkAiMCIwIjAiQCJgIoAisCLgIxAjUCOQI+AkICRgJLAk8CUwJXAlsCXwJjAmcCawJvAnMCeAJ9AoICiAKPApYCngKnArACugLEAs4C2ALiAusC8wL7AwEDBgMKAw0DDgMOAw0DCwMIAwUDAgL+AvsC+QL2AvUC9AL0AvUC+AL7Av8DBAMKAxIDGgMjAy4DOQNFA1IDYANvA34DjQOdA6wDuwPJA9cD4wPtA/YD/gQDBAYEBwQHBAQEAAP6A/ID6QPfA9QDxwO6A6wDngOOA34DbgNdA0wDOgMpAxcDBALzAuECzwK/Aq4CngKQAoICdAJoAl0CUgJJAkACNwIvAigCIQIaAhQCDgIIAgIB/QH4AfMB7gHqAeYB4gHeAdoB1gHSAc8BywHHAcQBwAG9AboBuAG2AbUBtAG1AbYBuQG8AcEBxwHNAdQB2wHiAeoB8AH2AfsB/gIAAf8B/QH5AfIB6QHfAdIBxAG1AaUBlQGEAXQBYwFUAUUBNwEqAR4BEwEJAP4A9ADqAOAA1QDJALsArQCdAIwAegBmAFEAPAAnABH//P/n/9L/wP+u/53/j/+B/3X/a/9i/1n/Uv9L/0T/Pf81/y3/I/8Y/wv++/7p/tX+vv6j/ob+Zv5E/h799/3N/aP9dv1K/R388fzG/Jz8dPxO/Cv8Cvvs+9H7uPuh+437evto+1f7Rvs1+yT7Efr++un60/q7+qH6hvpq+kz6LPoM+er5yPmm+YP5YPk9+Rv4+fjY+Lf4l/h4+Fr4Pfgg+AX36vfP97X3m/eB92f3Tfcz9xj2/fbj9sj2rfaS9nj2X/ZG9i/2GPYC9e712vXG9bL1n/WL9Xb1YPVJ9TD1FvT69Nz0vfSd9H30W/Q69Brz+vPb873zofOG82zzU/M78yTzDfL28t/yyPKw8pfyffJi8kfyK/IP8fPx1/G78Z/xhPFq8VDxN/Ef8Qfw7/DY8MHwq/CV8H/wavBW8EPwMPAf8A/wAO/z7+jv3u/V783vxu/A77rvtO+u76fvn++X743vgu9272jvWe9J7zfvJO8Q7vvu5e7P7rfunu6F7mruT+4z7hft+u3d7b/tou2F7WftS+0v7RTs+uzh7MrstOyf7Ivseexo7FnsSuw87C7sIewV7Ajr++vt69/r0evB67HroOuO63zraetW60PrMesg6w/rAOry6ufq3OrV6s7qyurH6sbqxerG6sfqyOrJ6srqyurK6srqyerI6sfqxurF6sXqxerF6sbqyOrJ6svqzOrO6s/q0OrR6tHq0erS6tPq1erZ6t7q5urw6vzrC+sb6y3rQOtT62XrdOuB64nri+uI63/rbutY6zvrGerz6srqoOp26k7qKuoK6fHp4OnW6dTp2enn6fvqFOoy6lLqdeqX6rnq2er36xDrJ+s560nrVOtd62PraOtr623rbutv62/rb+tw62/rb+tt62zraetm62LrXetZ61TrUOtN60vrSutL603rUOtU61nrX+tk62nrbetv63Drbutq62TrW+tQ60PrNesl6xbrBur26ufq2urN6sLquOqv6qfqoOqZ6pPqjeqH6oDqeupz6mzqZupg6lvqWOpV6lPqU+pV6ljqXOpg6mXqa+pw6nTqd+p56nrqeep36nPqb+pq6mXqYepc6lnqWOpX6ljqW+pe6mPqaepu6nTqeOp86n7qfup96nrqdupw6mnqYupb6lTqTupK6kfqR+pI6kzqU+pb6mXqcep+6ozqmeqn6rTqwOrL6tTq3Orj6unq7ury6vXq+Or76v7rAusG6wvrEusY6yDrKOsx6znrQutK61LrWOte62HrY+tj62HrXetX61DrSOs+6zTrKush6xnrE+sQ6w7rEOsV6x3rKOs260frWutv64Xrm+ux68br2uvs6/zsCewU7B3sI+wo7CrsLOws7CzsLOws7CzsLewu7C/sMewz7DXsNuw27DbsNewy7C/sK+wm7CHsHOwY7BXsE+wU7BfsHewl7DHsQOxR7GXse+yT7Kzsxezf7PjtEO0o7T3tUe1k7XXthO2S7Z/tq+237cPtz+3b7ent9+4H7hjuK+4/7lXua+6D7pzute7P7unvAu8b7zPvSu9f73PvhO+U76Lvre+2777vxO/J78zvz+/S79Xv2O/c7+Hv6O/w7/rwBfAR8B/wLvA98E3wXvBu8H/wj/Ce8K7wvfDM8Nvw6vD68QrxG/Et8UDxU/Fn8XzxkfGm8brxzvHh8fLyAvIQ8hzyJ/Iw8jjyPvJE8kjyTfJR8lXyWvJg8mfybvJ28oDyivKU8p/yqvK08r7yx/LP8tby2/Le8uDy4PLf8tzy2fLU8tDyzfLK8sjyyfLL8tHy2fLk8vLzA/MW8yzzQ/Na83LzivOh87fzy/Pd8+3z/PQJ9BX0IfQs9Dj0RvRU9GX0d/SL9KH0uPTQ9Oj1APUX9S31QvVV9Wf1d/WH9Zb1pvW39cv14fX69hj2OPZc9oP2rPbX9wH3K/dS93b3l/ez98z34ff0+AX4Fvgo+D74WPh5+KD4zvkD+T/5f/nC+gX6RvqA+rH61/rt+vL65frE+pD6Svn0+Y/5Ifit+Db3wPdQ9ur2kPZF9gr14fXK9cP1y/Xg9gD2J/ZT9oH2r/ba9v/3H/c390j3UvdV91H3Sfc99y/3IPcQ9wH29Pbp9uH23PbZ9tn22/bh9uj28fb99wr3Gfcq9z33Ufdo93/3mPey98z35vgA+Bj4L/hD+FX4ZPhw+Hn4fviB+IH4f/h8+Hn4dfhy+HH4cvh1+Hr4gfiL+Jf4pfi0+MP40vjg+O34+fkC+Qn5DvkQ+RD5D/kM+Qj5A/j++Pr49vjz+PH48fjx+PP49fj4+Pv4/vkB+QP5BPkF+QX5BfkE+QP5AvkB+QD5APkB+QP5BvkJ+Q75E/kY+R35Ivkn+Sv5Lvkx+TT5Nvk4+Tr5PflB+Ub5TPlU+V75avl4+Yf5mfmr+b750vnm+fn6C/ob+ir6NvpA+kf6TPpN+kz6SPpC+jr6MPol+hn6DPoA+fP56Pnd+dT5zfnH+cT5wvnD+cX5yfnO+dT52/nj+er58vn6+gH6CPoP+hb6Hvon+jD6PPpJ+lj6afp7+pD6p/q++tX67PsC+xb7KPs2+0D7RvtI+0X7P/s1+yn7G/sM+v368Prl+t362PrY+tz65frx+wL7Fvss+0T7Xvt3+4/7p/u8+8/74Pvu+/r8AvwJ/A78EfwT/BT8FPwU/BT8FPwU/BX8FvwX/Bn8HPwf/CL8J/wr/DH8N/w+/EX8TfxV/F38Zfxt/HX8fPyC/If8jPyQ/JL8lPyW/Jf8mPyZ/Jv8nPyf/KP8qPyt/LP8uvzC/Mr80fzZ/OH86Pzv/Pb8/P0C/Qj9Dv0V/Rz9JP0t/Tf9Qf1N/Vn9Zv1y/X/9i/2W/aH9q/2z/bz9w/3L/dL92v3j/ez9+P4E/hP+Iv4z/kT+Vf5m/nb+g/6P/pf+nf6e/p3+l/6Q/oX+ef5t/hv+Fv4S/hD+Ef4U/hr+JP4v/j3+Tf5f/nH+g/6W/qj+uf7J/tf+5f7x/vz/B/8Q/xr/JP8u/zj/Q/9O/1v/Z/90/4H/jv+b/6j/tP+//8r/1P/e/+f/7//4AAAACQASABsAJAAuADkARABPAFoAZQBxAHwAhwCSAJwApgCxALsAxQDPANkA4wDtAPgBAgEMARcBIQErATQBPQFFAU0BVAFbAWIBaAFuAXUBewGCAYoBkgGbAaUBsAG7AccB0wHeAeoB9gIAAgoCEwIbAiECJwIrAi8CMQIzAjQCNQI1AjYCNgI3AjcCOAI4AjkCOQI6AjkCOQI4AjYCMwIwAiwCKAIiAh0CFwIQAgoCAwH9AfcB8QHtAegB5AHhAd8B3gHdAd4B3wHgAeMB5gHqAe8B8wH5Af8CBQIMAhICGgIhAikCMgI6AkMCTQJXAmECbAJ3AoECjQKXAqICrAK1Ar4CxQLMAtIC1gLZAtsC3ALbAtoC2ALWAtMC0ALMAskCxwLEAsICwQLAAsACwQLDAsUCyALMAtEC2ALfAucC8QL8AwgDFQMjAzMDQwNUA2YDdwOJA5oDqwO7A8kD1gPhA+oD8QP2A/gD+QP3A/ID7APjA9kDzgPBA7MDpAOUA4QDcwNiA1IDQQMxAyEDEgMDAvUC5wLaAs4CwQK1AqoCngKTAocCfAJwAmQCWAJMAj8CMwInAhwCEQIGAf0B9QHtAecB4gHeAdwB2gHZAdkB2QHZAdoB2gHaAdoB2gHZAdgB1wHWAdUB1AHUAdUB1gHYAdsB3gHiAeYB6wHwAfUB+QH8Af4B/wH+AfsB9wHyAeoB4QHXAcwBvwGyAaUBlwGKAX0BcAFjAVgBTQFCATgBLgEkARoBEAEGAPsA7wDjANUAyAC5AKkAmACHAHYAZABRAD8ALAAaAAj/9v/l/9T/xP+1/6f/mf+M/4D/dP9p/17/VP9J/z3/Mf8k/xX/Bf7z/t7+xv6r/o3+bf5J/iP9+v3P/aL9df1H/Rn87PzA/Jf8cPxL/Cr8DPvw+9f7wfut+5r7ift4+2b7VPtB+yz7Fvr++uP6x/qp+or6afpI+ib6BPnj+cL5ovmD+WX5Sfku+RT4+/jj+Mv4tPid+Ib4b/hX+D/4J/gN9/P32Pe996H3hfdo90z3L/cT9vb22va/9qP2iPZu9lT2O/Yh9gj17/XW9b31o/WJ9W71U/U49Rv0//Th9MT0pvSJ9Gz0T/Qz9Bfz/fPj88rzsfOa84PzbPNV8z/zKPMR8vny4fLI8q/ylfJ68l/yQ/Io8gzx8PHU8bnxnfGC8WjxTvE18RzxA/Dr8NTwvfCo8JPwf/Bs8FrwSfA68CzwIPAU8ArwAu/57/Lv6+/k79zv1O/M78PvuO+s76Dvke+C73HvYO9O7zrvJ+8T7v7u6e7U7r/uqu6V7n/uau5T7jzuJe4N7fTt2+3A7abti+1v7VPtOO0d7QLs6OzP7LjsouyN7HrsaOxY7EnsO+wu7CPsF+wM7ADr9Ovo69vrzeu+66/rn+uP63/rcOth61PrRus86zPrLOsn6yXrJesm6yrrLus06zrrQOtH603rUutW61jrWutb61vrWetX61XrUutP60zrSetG60TrQutC60HrQutD60brSetN61PrWeth62rrc+t964jrkuuc66Trquuu667rquuh65Trgeto60vrKOsC6tjqreqB6lXqLOoG6eTpyem06afpoemk6a7pvunV6fHqEeo06ljqfOqg6sHq4Or86xTrKes760nrVOtd62Trautv63Prdut6633rgOuC64TrheuG64XrhOuB63/re+t363Trcetu623rbetu63HrdOt5637rhOuK647rkuuU65TrkeuM64Xre+tw62LrVOtE6zTrJOsV6wfq+uru6uTq2+rU6s3qyOrC6r3quOqz6q7qqOqi6pzqluqR6ozqiOqF6oPqg+qF6ofqiuqP6pPqmOqc6qDqo+ql6qXqpOqh6p3qmeqU6o7qieqF6oLqgOp/6oDqguqF6orqj+qU6pnqnuqh6qPqpOqj6qDqm+qW6o/qiOqC6nzqeOp16nTqdup76oLqjOqZ6qfqt+rI6tnq6ur76wvrGesl6y/rN+s960HrQ+tE60PrQutA6z7rPes86zvrPOs960DrQ+tH60zrUOtV61nrXetg62LrYuth61/rXOtY61PrTutI60LrPus66zfrNus36zrrP+tH61HrXuts63zrjuuh67Trx+va6+zr/uwO7BzsKew07D3sRexL7E/sU+xV7FfsWOxY7FnsWexY7FjsV+xW7FTsUuxP7EzsSOxE7EDsO+w37DPsMewv7C/sMew17DzsROxQ7F7sbuyA7JTsquzA7Njs7+0G7R3tM+1I7Vvtbe197Yztmu2n7bPtvu3K7dbt4u3v7f3uDO4d7jDuQ+5Z7nDuiO6h7rvu1u7w7wvvJe8971Xva++A75Lvou+w77zvxu/N79Pv1+/a793v3+/g7+Lv5e/p7+3v8+/68APwDfAY8CTwMfA/8EzwWvBo8HXwgvCP8JvwpvCy8L7wyfDV8OHw7/D98QzxG/Es8T3xT/Fh8XTxhvGY8ajxuPHG8dPx3vHo8e/x9fH68f3x//IB8gLyBPIF8gfyCvIO8hPyGvIi8ivyNfI/8kvyV/Ji8m7yefKD8ozyk/Ka8p/ypPKn8qryrfKw8rTyufK/8sfy0vLe8u3y/vMQ8yXzOvNR82jzfvOU86rzvvPR8+Lz8/QC9BH0H/Qu9D30TfRf9HL0hvSc9LT0zPTl9P71FvUv9Ub1W/Vw9YP1lfWn9bj1yfXc9fD2BvYe9jn2V/Z49pv2wPbl9wv3MPdT93T3kvet98X32ffr9/v4C/ga+Cv4P/hW+HH4kPi0+Nz5CPk1+WL5jfm0+dX57fn8+f759Pnc+bf5hflI+QH4s/hg+Av3t/dn9xz22vah9nT2U/Y89jL2MfY59kj2XfZ19o72qPa/9tT25vbz9v33A/cG9wb3BPcB9v72+/b59vj2+fb89v/3BPcK9xH3F/ce9yX3K/cx9zf3PfdE90v3VPde92n3d/eH95j3q/e/99T36ff++BH4I/gz+ED4S/hT+Fj4W/hc+Fv4WfhX+FX4VfhV+Fj4XPhj+Gz4d/iE+JL4ofiw+L/4zfjZ+OT47fjz+Pf4+fj5+Pf48/jv+On45Pje+Nn41fjR+M74zfjL+Mv4y/jL+Mz4zPjN+M34zfjM+Mz4y/jK+Mn4yPjH+Mf4x/jI+Mn4yvjM+M740PjS+NX42Pjb+N744vjm+Ov48fj4+QD5CvkW+SP5MvlD+VX5afl++ZT5qfnA+dX56vn++hD6IPou+jj6QfpG+kj6SPpF+j/6N/ot+iH6FPoG+fj56vnc+dD5xfm7+bP5rfmq+aj5qPmq+a75s/m6+cH5yvnS+dv55Pnt+fb5/voH+g/6F/of+if6L/o3+j76RfpL+lD6VPpX+lj6WPpW+lP6TfpH+kD6OPow+ir6JPoh+h/6Ifom+i/6PPpN+mH6ePqS+q76zPrr+wr7KPtF+2H7evuR+6X7tvvE+8/71/vd++H74/vj++H73/vb+9f70/vO+8r7xfvB+777u/u5+7j7uPu6+737wvvI+8/71/vh++v79vwB/Az8Fvwg/Cn8Mfw3/Dz8QPxD/EX8RvxH/Ej8SPxK/Ev8TfxR/FX8Wvxf/Gb8bfx0/Hz8hPyM/JX8nfym/K78t/zA/Mr80/ze/Oj88/z//Qr9Fv0h/Sz9N/1B/Uv9VP1d/WX9bf11/X39hv2P/Zn9pP2x/b79zP3b/er9+f4I/hX+If4r/jP+OP46/jv+OP40/i/+KP4i/cb9xf3H/cr9zv3V/d796f32/gT+E/4k/jT+Rf5W/mb+df6E/pH+nv6q/rX+v/7J/tT+3v7p/vT+//8L/xj/Jf8y/z//TP9Y/2X/cP97/4b/j/+Y/6D/qP+w/7j/v//H/9D/2P/i/+z/9gABAAwAFwAjAC8AOgBGAFEAXABnAHEAewCFAI8AmACiAKsAtAC9AMcA0ADZAOIA6wD0AP0BBQEOARYBHwEnATABOAFBAUoBUwFdAWcBcQF8AYYBkQGcAaYBsQG7AcQBzQHWAd4B5QHrAfEB9wH8AgACBAIIAgsCDgIRAhMCFQIXAhgCGAIYAhgCFgITAhACCwIGAf8B+AHwAecB3QHUAcoBwAG2Aa0BpAGbAZQBjQGIAYMBgAF+AX0BfQF/AYEBhQGJAY8BlQGcAaQBrQG2AcABygHVAeAB7AH4AgUCEgIfAi0COgJIAlQCYQJtAngCggKLApMCmgKgAqQCpgKoAqkCqAKnAqUCowKhAp4CnAKZApcClQKUApMCkwKTApMCkwKUApYClwKZApwCnwKkAqkCsAK3AsECzALaAugC+QMMAx8DNQNLA2EDeAOPA6QDuQPMA9wD6gP1A/0EAgQEBAID/QP1A+oD3QPOA70DqwOYA4UDcgNfA00DPAMsAx0DDwMDAvcC7ALiAtgCzQLDArgCrQKgApMChAJ0AmQCUwJBAi8CHQILAfoB6gHcAdABxQG8AbYBsgGvAa8BsAGzAbcBuwHAAcQByQHNAdEB1AHXAdkB2gHbAdsB3AHcAdwB3gHfAeAB4wHlAegB6wHtAe8B8QHxAfEB8AHtAekB5AHeAdcBzgHFAbsBsQGnAZ0BkwGJAX8BdgFtAWUBXAFUAUwBQwE6ATABJgEbARABBAD2AOkA2gDMALwArACcAIwAewBrAFoASQA4ACcAFgAF//T/4//T/8L/sv+j/5P/hf92/2j/Wv9M/z7/MP8g/xD+/v7q/tT+vP6h/oP+Yv4+/hf97/3E/Zj9av09/RD85Py5/JH8bPxJ/Cn8DPvy+9v7xvuz+6H7kPt++2v7WPtD+yz7Evr2+tn6uPqX+nT6UPos+gj55fnC+aL5g/ll+Ur5MPkY+QL47fjZ+MX4sfie+Ir4dfhf+Ej4MfgY9//35PfK9673kvd391v3QPck9wn27vbU9rr2n/aF9mr2T/Y09hj1+/Xe9cD1ovWD9WT1RPUl9Qb05/TJ9Kv0jvRz9Fj0PvQl9A3z9vPf88rztPOf84rzdfNg80rzNPMd8wby7vLV8rzyovKI8m7yU/I48h3yAfHm8cvxsPGV8XvxYPFG8S3xFPD88OTwzvC48KTwkfB/8G7wX/BR8EXwOfAv8CbwHfAU8AzwBO/77/Lv6O/d79Hvw++176Xvle+E73LvX+9N7zrvJ+8V7wPu8e7f7s7uve6s7pvuie537mTuT+467iTuDO3z7djtve2g7YPtZu1I7SvtDuzy7Njsv+yo7JLsf+xu7F7sUOxD7DjsLewj7BrsEewH6/3r8uvn69vrz+vD67frrOuh65frj+uI64PrgOuA64LrhuuL65PrnOul67DruuvF687r1+ve6+Tr6Ovq6+vr6uvo6+Tr4Ovb69br0evM68jrxevD68Lrw+vF68nrz+vV69zr5evt6/Xr/ewD7AjsCuwJ7ATr+uvt69rrweuk64HrWusu6wDqzuqc6mrqOeoK6eDpu+mc6YTpdOls6WzpdOmD6ZnptenV6fnqH+pG6m3qkuq26tbq8+sN6yPrNetE61HrW+tj62vrcet363zrguuI647rk+uY653roeuk66brp+un66brpOuh65/rnOua65jrmOuY65rrneug66TrqOus66/rsuuz67Lrr+uq66PrmuuP64LrdOtm61frSOs66y3rIesW6wzrBOr96vfq8ert6ujq5Org6tvq1+rS6s3qyerE6sHqvuq86rrquuq86r7qwerE6sjqzOrQ6tPq1urX6tfq1urU6tHqzerI6sPqv+q76rfqteq16rXqt+q56r3qwurH6svq0OrT6tXq1urW6tTq0erN6snqw+q+6rrqt+q16rXqt+q86sPqzOrX6uTq8+sD6xPrI+sy60HrTuta62Tra+tx63Xrdut363brdOtx627ra+to62XrY+th61/rXutd61zrW+tb61nrV+tV61PrT+tM60jrROtA6z3rOes36zbrN+s56z3rQutJ61PrXutr63nriOuZ66rrvOvO69/r8ewB7BHsIOwu7DrsRuxQ7FrsYuxp7HDsdex67H/sguyF7IjsieyK7IrsiuyI7Ibsgux+7Hrsdexw7GrsZexh7F3sW+xa7FvsXuxj7Grsc+x/7IzsnOyt7L/s0uzm7PntDe0g7TPtRO1V7WTtcu2A7Y3tme2l7bHtve3K7djt5+337gnuHO4x7kfuX+547pLuru7J7uXvAe8c7zbvT+9n73zvkO+i77LvwO/L79Xv3O/i7+fv6u/t7+/v8e/07/bv+e/98ALwCPAP8BfwH/Ap8DPwPfBI8FLwXPBm8HDwefCC8IrwkvCa8KHwqfCx8Lrww/DN8Nfw4/Dw8P3xCvEZ8SfxNvFE8VLxX/Fr8Xbxf/GH8Y3xkvGV8Zfxl/GX8ZfxlvGV8ZXxlvGY8ZvxoPGn8bDxuvHG8dPx4fHw8gDyEPIg8jDyP/JO8lzyafJ18oDyi/KW8qHyrPK38sTy0vLg8vDzAvMU8yfzOvNP82Pzd/OK853zr/PB89Lz4vPy9AL0EvQj9DT0R/Rc9HL0ivSj9L302fT19RH1LvVJ9WP1ffWU9av1v/XT9eb1+PYK9h32MPZF9lz2dPaP9qv2yPbn9wb3JfdD92H3fPeW9633wvfV9+b39fgE+BP4Ivgy+ET4V/ht+IX4nvi4+NL47PkD+Rf5J/kx+TX5Mvko+RX4/Pjc+LX4ivhc+Cv3+ffJ95r3bvdH9yT3Bvbt9tr2yva/9rf2svau9qz2qvap9qj2pval9qX2pfam9qj2rfaz9rz2yPbV9uT29PcF9xb3J/c290T3T/dY9173Yfdi92H3Xvda91b3UvdQ91D3UvdX92D3a/d594r3nPew98X32vft+AD4EPge+Cr4M/g5+D34P/g/+D/4Pvg++D/4QPhE+En4UPhZ+GT4cPh9+Ir4mPil+LH4vPjF+Mz40fjV+Nb41fjS+M74yfjD+L34t/ix+Kz4p/ij+J/4nPia+Jn4l/iW+Jb4lfiU+JP4kviQ+I74jPiK+If4hfiC+H/4fPh6+Hj4dvh1+HT4dfh2+Hn4ffiD+Ir4k/ie+Kv4uvjL+N748/kK+SL5PPlW+XH5jPmm+cD52Pnv+gT6Fvom+jL6PPpD+kb6RvpD+j36Nfoq+h76EPoB+fH54vnS+cP5tfmo+Z35lPmN+Yf5hfmE+YX5iPmO+ZT5nPml+a/5ufnD+c351/nf+ef57vnz+fb59/n3+fT57/no+d/51fnI+br5rPmc+Y35fvlw+WT5WvlT+U/5T/lT+Vv5aPl5+Y75p/nE+eP6Bfoo+kz6cfqU+rf61/r2+xH7KvtA+1P7Y/tv+3n7gfuG+4n7ivuK+4j7hfuB+337d/ty+2v7Zftf+1n7U/tO+0v7SPtH+0f7SftN+1L7Wvti+2z7d/uD+5D7nPuo+7P7vvvH+8/71vvb++D74vvk++X75vvm++f75/vo++n76/vu+/H79vv7/AD8B/wO/BX8Hfwl/C78OPxB/Ez8Vvxh/Gz8d/yD/I78mvyl/LH8vPzH/NH82/zl/O/8+f0D/Q39GP0j/S/9O/1I/Vb9ZP1x/X/9jf2Z/aX9sP24/cD9xf3J/cv9zP3L/cr9yP3H/X/9gv2F/Yr9kP2Y/aL9rf25/cb91f3k/fP+A/4S/iH+MP4+/kv+V/5j/m7+ef6D/o7+mP6j/q7+uf7F/tH+3v7q/vf/A/8Q/xz/KP8z/z3/R/9Q/1n/Yf9q/3H/ef+B/4n/kv+b/6T/rv+4/8P/zv/Z/+T/8P/7AAYAEQAcACYAMAA6AEMATABUAF0AZQBtAHUAfQCGAI4AlgCfAKcAsAC5AMIAzADVAN8A6QD0AP4BCQEUAR8BKgE1AUEBTAFXAWEBbAF2AYABiQGRAZoBoQGoAa8BtQG7AcABxQHKAc4B0QHUAdcB2QHaAdsB2wHaAdgB1QHSAc0BxwG/AbgBrwGlAZsBkAGFAXoBbwFlAVsBUgFJAUIBPAE3ATMBMQEwATEBMgE1ATkBPgFEAUsBUwFcAWUBbwF6AYYBkgGfAawBugHIAdcB5gH2AgUCFAIiAjACPQJKAlQCXgJmAm0CcgJ1AncCeAJ3AnYCdAJyAm8CbAJqAmgCZwJmAmYCZwJoAmoCbAJvAnECcwJ1AncCeQJ6AnwCfQJ/AoIChgKLApICmwKmArMCwwLVAuoDAQMaAzQDTwNrA4YDnwO4A80D4APvA/sEAgQGBAQD/wP2A+kD2QPHA7IDnQOHA3EDWwNHAzMDIgMSAwQC+QLuAuUC3ALVAs0CxQK8ArICpgKZAooCeQJmAlMCPgIoAhIB/AHoAdQBwgGyAaQBmgGSAYwBigGKAYwBkAGVAZwBowGqAbIBuQG/AcQByQHNAdAB0gHUAdUB1gHYAdkB2wHdAeAB4wHmAekB7QHvAfIB8wH0AfMB8QHuAekB5AHdAdUBzAHDAbkBsAGmAZ0BlAGLAYMBewF0AWwBZQFeAVYBTgFFATwBMQEmARoBDQD/APAA4QDRAMEAsQCgAJAAfwBuAF4ATQA9ACwAGwAL//r/6f/Y/8f/tv+m/5X/hf90/2T/VP9E/zT/I/8R/v/+6/7V/r7+pf6J/mv+Sv4n/gH92v2x/Yf9XP0x/Qf83fy1/I/8a/xK/Cz8EPv2++D7yvu3+6T7kvt/+2z7V/tB+yn7D/rz+tb6tvqV+nP6UPot+gr56PnG+af5iPlr+VD5Nvke+Qf48fjc+Mb4sfic+IX4b/hY+ED4J/gO9/T32ve/96X3i/dx91f3Pvcl9wz29Pbc9sP2qvaR9nf2XPZA9iT2BvXn9cj1p/WH9Wb1RfUl9QX05vTH9Kr0jvRz9Fr0QvQr9BXz//Pr89bzwvOu85rzhvNx81zzRvMv8xnzAfLp8tHyuPKf8oXybPJS8jjyHfID8ejxzfGz8ZjxffFj8UnxL/EW8P7w5vDQ8Lvwp/CV8IXwdvBo8FzwUfBH8D7wNfAt8CXwHPAT8Arv/+/z7+fv2e/K77rvqu+Z74fvde9k71LvQO8w7x/vD+7/7u/u4O7Q7sHusO6f7o3uee5k7k7uNu4d7gLt5u3J7avtje1u7VDtMu0V7Prs4OzH7LHsnOyK7Hnsa+xe7FLsSOw/7DbsLuwm7B/sF+wP7Afr/+v36/Dr6Ovi693r2evW69Xr1evY69zr4uvp6/Lr/OwH7BLsHewo7DLsPOxD7ErsTuxR7FLsUexP7EvsR+xB7DvsNewv7CnsJewi7CDsIOwh7CPsKOwt7DPsOew/7ETsSOxJ7EjsQ+w57CzsGOwA6+Lrv+uX62rrOusH6tLqnOpn6jTqBOnZ6bPplOl96W3pZulm6W/pf+mW6bPp1On56iDqSOpw6pbqu+rd6vvrFusu60LrU+th62zrdut/64brjeuU65vrouuq67HruevA68frzOvR69Xr1+vZ69jr2OvV69Pr0OvN68vryevI68jryOvJ68rrzOvO69Dr0evR68/rzOvI68Lruuuw66XrmeuM63/rcutl61jrTetC6zjrL+so6yHrHOsX6xPrD+sL6wjrBesC6v/q/er76vnq+Or46vjq+er76v7rAOsE6wfrCusN6xDrEesS6xLrEOsO6wvrB+sD6v/q++r36vXq8+ry6vLq8+r16vjq++sA6wTrB+sL6w3rD+sP6w7rDesK6wfrA+r/6vvq+Or16vTq9Or26vrq/+sG6w7rF+si6y3rOOtD607rWOth62nrcet263vrf+uB64PrhOuE64Prg+uC64Hrf+t963vreOt163Lrbetp62PrXetX61DrSetC6zzrN+sy6y/rLest6y/rM+s560HrTOtY62brdeuG65frqeu7683r3uvv6//sDuwc7CrsNuxB7EvsVOxd7GXsbex17H3shOyL7JLsmeyf7KTsqeyt7LDss+y07LTss+yx7K7squyn7KPsn+yc7JrsmeyZ7Jvsnuyk7KvstOy/7Mvs2Ozm7PTtA+0S7SHtL+087UntVO1f7Wntc+187YXtj+2Z7aXtse2/7c/t4e317gvuI+497ljude6T7rHu0O7v7w3vKu9G72DveO+O76LvtO/D79Dv2+/k7+zv8u/27/nv/O//8AHwA/AF8AjwC/AP8BTwGfAf8CXwLPAz8DvwQvBK8FHwWfBg8Gjwb/B18Hzwg/CK8JDwmPCf8Kfwr/C48MHwy/DV8ODw6vD18QDxC/EV8R/xKPEw8TfxPPFB8UTxR/FI8UjxSPFH8UXxRPFE8UPxRPFG8UnxTvFV8V3xaPF08YHxkPGh8bLxxPHX8erx/fIQ8iPyNfJH8lnya/J88o3ynvKw8sHy0/Ll8vjzC/Me8zHzRPNX82rzfPOO85/zr/O/887z3fPt8/30DvQf9DL0R/Rd9HX0j/Sr9Mj05vUE9SP1QvVg9X31mPWy9cr14fX19gj2GvYr9jv2TPZc9m72gfaV9qr2wfbZ9vL3DPcm90D3Wvdz94r3oPe198f32ffo9/f4BfgS+B/4Lfg6+Ej4Vvhl+HT4g/iR+J74qviz+Lr4vvi/+Lz4tvis+J74jfh6+GP4S/gx+BX3+ffc97/3oveF92j3TPcw9xX2+/bh9sn2svad9or2evZt9mP2XvZc9l/2ZvZx9oH2k/ap9sD22fby9wr3Ifc190f3VPde92T3Z/dl92H3WvdS90n3QPc59zP3MPcw9zT3OvdF91L3Y/d194n3nvez98f32vfr9/r4BvgP+Bb4G/gd+B/4H/ge+B74Hvgf+CH4Jfgr+DL4O/hG+FH4Xfhp+HX4gfiL+JT4nPih+KX4p/im+KX4ofic+Jb4kPiJ+IL4e/h0+G74aPhj+F74WvhX+FT4UvhP+E34S/hJ+Eb4RPhB+D34Ovg2+DL4Lvgq+Cb4I/gh+B/4H/gh+CT4Kfgx+Dr4R/hW+Gj4fPiS+Kv4xvji+QD5Hvk9+Vz5evmX+bP5zPnj+fj6CfoX+iL6Kfot+i76K/om+h76FPoI+fr56/nc+cv5u/ms+Z35jvmB+Xb5bPlk+V75WvlZ+Vn5W/lf+WX5bPl1+X/5ifmU+Z/5qvmz+bz5wvnH+cr5yfnG+cD5t/mr+Zz5i/l3+WP5Tfk3+SL5Dvj8+O344PjY+NX41vjc+Of49/kM+SX5Qflg+YL5pfnJ+ez6D/ow+lD6bPqG+p36sfrC+tD63Prl+uv68fr0+vf6+Pr5+vr6+vr5+vj69/r2+vX68/rx+u/67frs+ur66frp+ur67Prv+vP6+Pr/+wf7EPsb+yX7Mfs8+0f7Uvtd+2b7b/t2+337gvuG+4n7jPuN+4/7kPuQ+5H7kvuT+5X7mPub+577o/uo+677tfu9+8X7zvvX++H77Pv3/AL8Dvwa/Cb8Mvw9/En8Vfxh/Gz8ePyD/I/8mvym/LL8vvzL/Nj85vz0/QL9D/0d/Sv9OP1E/U/9Wf1i/Wn9b/10/Xf9ev17/Xz9ff1+/Vj9Wv1d/WL9Z/1u/Xf9gP2L/Zf9pf2z/cH90P3f/e79/P4K/hj+JP4x/jz+R/5S/lz+Zv5x/nv+hf6Q/pv+pv6x/r3+yf7V/uD+7P74/wP/Df8Y/yL/K/80/z3/Rf9N/1X/Xf9l/23/dv9//4f/kf+a/6T/rv+4/8P/zv/Y/+P/7f/4AAIADAAWACAAKgAzADwARQBOAFYAXwBnAHAAeACAAIkAkgCbAKQArgC3AMEAzADWAOEA7QD4AQMBDgEaASUBMAE6AUQBTgFYAWEBaQFxAXkBfwGGAYwBkQGWAZoBngGhAaQBpgGoAagBqAGmAaQBoQGcAZcBkAGJAYABdwFtAWMBWAFNAUIBOAEuASUBHQEVAQ8BCgEHAQUBBAEEAQYBCQENARIBGAEfAScBLwE4AUIBTQFXAWMBcAF9AYoBmAGnAbYBxQHUAeMB8gIAAg0CGQIkAi0CNQI8AkACQwJEAkQCQwJBAj4COwI4AjUCMgIxAjACMAIyAjQCOAI8AkACRgJKAk8CVAJXAloCXQJeAl8CXwJgAmACYgJkAmgCbwJ3AoMCkQKiArYCzQLmAwADHQM6A1YDcgOMA6QDuQPJA9YD3gPiA+AD2wPRA8MDsgOeA4kDcwNcA0YDMQMdAwwC/ALvAuUC3ALVAs8CygLGAsECuwK1AqwCoQKUAoUCdAJgAkwCNQIfAggB8QHcAcgBtwGoAZwBkwGNAYoBiQGLAZABlgGdAaUBrQG1Ab0BwwHJAc4B0gHVAdgB2gHbAd0B3gHhAeQB5wHsAfEB9gH9AgMCCQIOAhMCFgIZAhkCGAIVAhACCQIAAfYB6wHfAdMBxgG5AawBoAGVAYoBfwF2AW0BZAFcAVMBSgFBATgBLQEiARYBCQD7AOwA3QDNAL0ArACbAIoAegBpAFgARwA3ACcAFwAG//b/5v/W/8b/tf+k/5T/g/9y/2D/Tv88/yn/Fv8C/uz+1v6+/qX+iv5t/k/+Lv4M/en9xP2d/Xb9T/0o/QH82/y2/JP8cfxR/DT8GPv+++b70Pu6+6b7kft9+2j7Uvs7+yP7Cvrv+tT6tvqY+nn6Wvo6+hv5/Pnd+cD5o/mH+Wz5Ufk4+R/5B/ju+Nb4vvim+I34dPha+EH4J/gN9/P32fe/96b3jfd19133Rfcu9xb2//bo9tD2t/ad9oP2Z/ZL9i32D/Xw9dD1r/WO9W71TvUu9Q/08fTV9Lr0oPSH9HD0WfRE9C/0G/QH8/Tz4PPN87nzpPOQ83rzZfNP8zjzIvML8vPy3PLE8q3ylfJ98mTyTPIz8hnx//Hl8crxr/GU8XnxXvFE8SrxEfD58OLwzfC58Kfwl/CJ8HzwcfBn8F7wVvBP8EfwQPA48C/wJvAb8BDwA+/27+fv1+/G77Xvo++R73/vbe9c70rvOe8p7xjvCO747uju1+7G7rTuoe6N7nfuYe5J7jDuFe367d7twe2j7Ybtae1N7THtFuz97Obs0Oy87KrsmeyL7H7sc+xp7GDsWexS7EzsR+xC7D7sOuw27DLsL+wt7CvsKuwp7CnsK+wt7DDsNew67EDsRuxN7FXsXOxj7GrscOx17Hnse+x87Hzse+x47HPsbuxo7GHsWuxS7EzsRexA7DzsOew47DjsOuw87EDsROxI7EzsTuxO7E3sSOxA7DPsIuwM6/Hr0uuv64frXesv6wHq0uqk6njqT+oq6grp8ene6dLpzenP6djp6On96hfqNOpV6njqm+q+6uDrAOse6znrUetm63nriOuV66Drqeuy67nrwOvH687r1evc6+Pr6uvw6/br++wA7APsBewG7AbsBOwC6//r/Ov46/Tr8evu6+zr6uvo6+jr5+vn6+fr5uvl6+Pr4Ovc69br0OvI67/rtuur66DrleuK63/rdOtr62LrWetS60zrRutC6z7rO+s46zbrNOsz6zLrMusy6zLrM+s06zXrN+s56zzrPutB60PrRutH60nrSetJ60nrR+tF60LrP+s86znrNusz6zDrL+su6y7rL+sx6zPrNus56zzrP+tB60TrRetG60XrROtC60DrPes56zbrM+sw6y3rLOsr6yvrLOsv6zLrNus760DrRutM61LrWOte62Traetu63Prd+t763/rg+uG64nrjOuO65DrkuuT65LrkeuQ643rieuE637reOtw62nrYeta61PrTetI60TrQ+tD60brS+tR61rrZetx63/rjuue667rvuvO693r6+v57AXsEOwa7CPsLOwz7DvsQuxJ7FDsV+xf7GfscOx57IPsjeyX7KDsqeyy7LrswezG7Mvsz+zR7NPs1OzU7NTs1OzV7Nbs2Ozb7N/s5Ozr7PTs/e0I7RPtH+0r7TjtRO1P7VrtZO1t7XXtfO2C7Yjtju2T7Zrtoe2p7bPtv+3N7d7t8e4G7h7uOO5U7nLuke6x7tHu8e8R7zDvTe9o74Lvme+u78Dv0O/d7+jv8e/57/7wA/AG8AnwC/AN8A7wEPAS8BTwF/Aa8B3wIfAl8CnwLvAz8DjwPvBE8ErwUPBX8F7wZfBt8HXwfvCH8JDwmvCk8K/wuvDE8M/w2vDk8O7w9/EA8QjxD/EV8RvxH/Ei8STxJfEm8SXxJPEj8SHxH/Ed8RvxGvEZ8RnxG/Ed8SHxJ/Et8TbxQPFL8VjxZvF28YbxmPGq8b3x0fHl8fnyDvIj8jnyTvJk8nrykPKm8rzy0vLp8v/zFfMr80DzVPNo83vzjfOf87DzwPPQ89/z7/P/9A/0IfQ09Ej0XfR09I30p/TD9OD0/vUc9Tr1WPV19ZH1q/XE9dv18PYC9hP2I/Yy9j/2TfZa9mj2dvaG9pf2qfa99tL25/b+9xX3K/dC91f3bPd/95D3oPeu97r3xPfN99X33Pfi9+j37vf09/r4AfgI+A/4F/gf+Cb4Lfg0+Dn4Pfg/+ED4Pvg6+DT4K/gf+BH4APft99f3v/ek94j3avdL9yz3DPbt9s72sfaX9n/2avZZ9kz2RPZA9kH2R/ZQ9l72b/aC9pj2rvbF9tv27/cC9xL3H/co9y/3Mvcy9zD3LPcm9yD3G/cV9xL3EPcR9xX3G/cl9zD3P/dP92D3cveF95f3qPe498b30vfc9+T36vfu9/D38vfz9/P39Pf19/f3+vf++AT4C/gT+Bz4Jvgw+Dv4RfhO+Ff4Xvhk+Gj4avhr+Gr4Z/hi+F34VvhO+EX4PPgz+Cr4IfgY+BD4CfgD9/33+Pf09/D37ffq9+j35vfk9+L34Pfe99z32vfY99f31vfW99b32Pfb9+D35/fx9/z4Cvgb+C74RPhc+Hb4kviv+M747fkL+Sr5SPlk+X35lfmq+bz5yvnV+d354vnj+eH53fnW+c35wvm2+an5nPmO+YD5c/lm+Vr5T/lF+T35Nvkw+Sz5Kfkp+Sn5LPkw+TX5PPlE+U35V/li+W35d/mB+Yr5kfmW+Zr5mvmY+ZP5i/mA+XL5YvlP+Tv5JvkQ+Pv46PjW+Mf4u/i0+LD4svi4+MP40vjm+P75GPk1+VT5c/mS+bH5zvnp+gL6GPoq+jr6RvpQ+lf6XPpf+mH6Yvpi+mL6Y/pk+mb6afps+nH6dvp7+oL6iPqO+pT6m/qh+qb6rPqx+rb6u/rA+sb6zPrS+tn64Pro+vH6+vsD+w37Fvsg+yr7M/s8+0T7TPtT+1n7X/tk+2j7bPtv+3P7dft4+3z7f/uD+4f7jPuR+5f7nvul+637tvvA+8r71Pvf++v79vwC/A38Gfwk/C/8OvxF/FD8Wvxk/G/8efyE/I/8mvym/LL8v/zL/Nj85fzy/P/9C/0X/SL9LP01/Tz9Q/1I/Uz9T/1R/VP9VP1W/Tz9Pf0//UL9Rv1M/VL9Wv1j/W79ef2G/ZT9ov2w/b/9zf3b/en99v4D/g/+Gv4l/i/+OP5C/kv+VP5d/mb+b/55/oP+jv6Z/qT+r/66/sb+0f7c/ub+8P76/wP/DP8U/xv/Iv8p/zD/Nv89/0T/S/9S/1r/Y/9s/3b/gP+L/5b/ov+v/7v/yP/V/+L/7//7AAcAEwAeACgAMgA8AEQATQBVAF0AZABsAHQAewCDAIwAlACdAKcAsQC7AMYA0QDcAOcA8wD+AQoBFQEgASoBNQE+AUcBUAFYAWABZwFtAXMBeAF9AYABgwGFAYYBhgGFAYMBgAF7AXUBbwFnAV4BVQFKAUABNQEqAR8BFQELAQIA+gDzAO4A6QDmAOUA5QDmAOgA6wDwAPUA+wECAQoBEgEbASQBLgE5AUMBTwFbAWcBdAGCAY8BnQGrAbgBxQHRAd0B5wHwAfgB/gIDAgYCCAIIAgcCBgIDAgEB/gH8AfoB+QH5AfsB/QIAAgUCCgIQAhYCHAIiAigCLAIwAjICMwI0AjMCMQIwAi4CLQItAi8CMwI6AkQCUAJgAnMCiQKiAr0C2QL2AxQDMANLA2QDegOMA5oDowOoA6gDpAObA48DgANvA1wDSAM0AyEDDgL+AvAC5ALaAtICzALIAsUCwgK/ArwCtwKxAqgCnQKQAoECbwJbAkUCLwIYAgIB7AHYAcYBtgGpAZ8BmAGVAZQBlgGaAaABqAGwAbgBwQHJAdAB1gHbAd8B4gHlAecB6QHqAe0B8AH0AfkCAAIHAhACGQIjAi4COAJBAkkCTwJTAlUCVQJRAksCQwI4AioCGwIKAfgB5QHSAcABrgGcAYwBfQFuAWIBVQFKAUABNgEsASIBGAEOAQMA9wDqANwAzgC/ALAAoACQAH8AbwBeAE4APgAuAB4AD/////D/4P/R/8H/sf+g/4//fv9s/1n/Rv8x/xz/Bv7v/tb+vf6i/of+av5M/i3+Df3s/cr9p/2E/WD9Pf0a/Pf81fyz/JP8c/xV/Dj8HPwB++j7z/u3+5/7iPtw+1n7Qfsp+xD69/rd+sP6qPqN+nH6Vfo6+h76Avnn+cz5svmX+X35ZPlK+TH5F/j++OT4y/ix+Jf4ffhj+En4MPgW9/335PfL97P3mveD92v3U/c79yP3C/bx9tf2vPag9oP2ZfZG9if2BvXm9cX1pPWE9WT1RfUn9Qr07/TV9L30pfSP9Hr0ZvRS9D/0LPQZ9Abz8/Pf88vzt/Oi847zePNj807zOfMk8w/y+vLl8tDyvPKn8pLyfPJn8lDyOPIg8gfx7fHT8bjxnfGB8WbxS/Ey8RnxAfDs8NfwxfC18KfwmvCP8IbwffB28G/waPBh8FrwUvBJ8D7wM/Am8BfwCO/37+Xv0u+/76vvmO+E73HvXu9L7znvKO8X7wbu9e7l7tTuw+6x7p7ui+527mDuSu4y7hnt/+3k7cntre2R7XbtW+1B7SjtEOz67Obs1OzE7Lbsqeyf7JfskOyL7IjsheyE7IPsguyC7ILsguyC7ILsgeyB7IDsf+x+7H3sfOx77Hvseux67Hvse+x87Hzsfex97H3sfOx77Hjsdexx7GzsZexe7FfsTuxG7D3sNewt7CfsIewd7BvsGuwb7B7sIuwn7C3sM+w57D7sQexC7EDsPOwz7CfsF+wE6+zr0euz65PrcutQ6y/rD+rx6tbqv+qs6p7qluqS6pXqnOqn6rfqy+rh6vnrE+st60brX+t264zroOux68HrzuvZ6+Lr6uvx6/fr/OwB7AXsCewO7BLsFewZ7BzsH+wh7CPsJOwk7CPsIewe7BvsF+wT7A/sC+wH7APr/+v86/jr9uvz6/Hr7uvr6+jr5evh69zr1+vR68vrxOu967brruun65/rmOuS64zrhuuB633reet263Prcetv627rbets62vra+tr62vra+tr62zrbett627rb+tw63Hrcuty63Lrcuty63HrcOtv623rbOtr62nraOto62jraOtp62rrbOtu63HrdOt363rrfOt/64HrguuD64PrguuB64Drfet763jrdutz63Drbuts62rraetp62jraetp62rra+ts627rb+tx63PrdOt263jre+t964Drg+uG64rrjeuR65Trl+ua65zrnuuf65/rneub65nrleuR64zrh+uC633reet263Trcuty63Trd+t864LrieuR65rrpOuu67jrwuvL69Tr3Ovj6+rr8Ov16/rr/uwD7AjsDewT7BrsIuwr7DbsQexN7Fvsaex37IXsk+yh7K7su+zG7NDs2ezh7Ojs7uzz7Pjs/e0B7QbtDO0S7RntIe0q7TTtPu1K7VbtYu1u7Xrthu2Q7Zrto+2r7bLtuO297cLtxu3L7dHt1+3f7ejt8+4B7hHuI+447k/uaO6D7p/uve7a7vnvF+8071Dvau+D75rvru/A79Dv3u/p7/Pv+/AB8AbwCvAN8A/wEvAU8BbwGPAa8BzwH/Ah8CTwJ/Ar8C7wMvA28DvwQPBF8EvwUfBY8GDwafBz8H3wiPCU8KDwrfC68Mfw1PDg8Ozw9/EB8QrxEvEZ8R7xIfEk8SXxJPEj8SDxHfEZ8RXxEfEM8QjxBPEB8P/w/fD98P7w//EC8QfxDfEU8RzxJvEx8T3xS/FZ8WnxevGM8Z/xs/HI8d3x9PIL8iPyO/JU8m3yh/Kh8rry1PLt8wbzHvM280zzYvN384vznvOx88Pz1PPl8/f0CPQa9C30QfRV9Gv0gvSb9LX0z/Tr9Qf1I/U/9Vv1dvWP9af1vvXS9eX19vYF9hL2HvYp9jT2PvZI9lL2XvZq9nf2hvaV9qX2t/bI9tr26/b79wv3Gfcl9y/3N/c890D3QfdA9z73Ovc29zH3LPcn9yP3IPcf9x73IPcj9yf3LPcz9zv3QvdK91L3WPde92L3Zfdl92P3X/dY90/3RPc29yX3FPcA9uz21/bB9qz2mPaF9nP2ZPZX9k32RfZB9kD2QvZH9k72V/Zi9m/2fPaK9pj2pfay9r32x/bP9tX22vbe9uH24vbj9uT25fbn9un27fby9vj3APcK9xX3Ifcu9z33S/da92j3dveE95D3m/el9673tfe798H3xffI98z3zvfR99T31/fb99/35Pfp9+739Pf6+AD4BfgK+A/4E/gW+Bf4GPgX+BX4EfgN+Ab3//f39+735Pfa98/3xfe797H3p/ef95f3kfeL94b3gveA9373ffd893z3ffd+93/3gfeC94T3hveI94v3jveS95f3nvel96/3uvfI99f36ff8+BL4KfhB+Fv4dfiP+Kr4xPjc+PP5Cfkc+Sz5OvlF+U75U/lW+Vf5VflS+U35R/lA+Tj5MPko+SD5GPkR+Qv5BvkB+P34+vj5+Pj4+Pj5+Pv4/vkC+Qf5DfkU+Rv5JPks+TX5PvlG+U75VPlZ+V35Xvld+Vr5VPlL+UD5M/kk+RT5A/jy+OH40fjD+Lj4sPir+Kv4rvi2+MP40/jn+P/5Gfk1+VP5cPmO+ar5xPnc+fH6BPoS+h76Jvor+i36Lfor+in6Jfoi+h/6Hfoc+h36H/oj+ir6Mvo7+kb6Ufpe+mr6d/qE+pH6nPqo+rL6vPrF+s361frc+uP66vrx+vj6//sH+w/7F/sg+yn7Mvs7+0X7TvtX+2D7aPtw+3j7fvuF+4v7kPuW+5v7oPuk+6r7r/u0+7r7wfvI+9D72Pvh++v79Pv+/Aj8E/wd/Cf8Mfw6/EP8TPxU/Fz8Y/xq/HL8efyA/Ij8kPyZ/KL8rPy2/MH8zPzY/OP87vz6/QT9Dv0X/R79Jf0r/TD9M/02/Tj9Of06/Rn9Gv0c/R39IP0j/Sf9Lf00/Tz9Rv1Q/Vz9aP12/YP9kf2e/az9uf3F/dH93P3m/fD9+f4B/gr+Ef4Z/iH+Kf4y/jr+Q/5N/lf+Yf5s/nf+gf6M/pf+of6r/rT+vP7E/sz+0v7Z/t/+5P7q/u/+9f77/wH/Cf8R/xr/JP8v/zv/R/9V/2P/cf+A/4//nv+t/7v/yf/W/+P/7//6AAQADQAWAB4AJgAtADQAPABDAEsAUwBcAGUAbwB6AIUAkQCdAKkAtgDDANAA3QDqAPcBBAEPARsBJgEwAToBQwFLAVMBWQFfAWQBZwFqAWsBawFqAWcBYwFeAVcBUAFHAT0BMwEoARwBEAEFAPkA7gDkANsA0wDMAMYAwgC/AL4AvgDAAMMAxwDMANIA2ADgAOgA8AD5AQIBDAEWASABKwE2AUEBTAFYAWMBbwF6AYUBkAGaAaMBqwGyAbkBvQHBAcQBxgHHAccBxwHGAcYBxgHGAccByQHLAc8B0wHYAd4B5AHrAfEB9gH7Af8CAgIEAgQCAwIBAf4B+gH2AfMB8AHvAe8B8gH4AgECDQIdAjACRwJgAnwCmQK3AtYC9AMRAysDQwNYA2gDdAN8A4ADfwN6A3EDZgNYA0kDOQMoAxgDCQL7Au4C4wLaAtMCzQLIAsMCvwK6ArUCrQKkApoCjQJ9AmwCWQJEAi4CGAIBAesB1wHEAbQBpgGbAZMBjgGMAYwBkAGVAZwBpAGsAbUBvQHFAc0B0wHYAdwB4AHjAeYB6QHsAfEB9gH9AgUCDgIZAiUCMgI/AkwCWQJlAm8CdwJ8An8CfwJ7AnQCaQJbAksCOAIjAgwB9QHdAcUBrQGXAYEBbQFbAUsBOwEuASIBFgEMAQIA+ADuAOQA2QDOAMIAtQCoAJkAiwB7AGwAXABMADwALAAdAA3//v/v/9//0P/B/7H/of+Q/3//bP9Z/0X/L/8Z/wH+6P7O/rP+l/56/lz+Pv4e/f/93/2//Z79fv1e/T39Hvz+/N/8wPyi/IT8Z/xK/C78Evv3+9z7wfun+437c/tZ+z/7JfsL+vL62Pq/+qb6jPpz+lr6Qvop+hH5+Png+cj5sPmX+X/5ZvlO+TX5HPkC+On4z/i2+Jz4gvhp+E/4Nvgd+AT37PfU97z3pPeL93P3WvdB9yb3C/bv9tL2tPaV9nX2VfYz9hH17/XN9az1i/Vr9Uz1LvUS9Pf03fTF9K/0mfSF9HL0X/RM9Dr0J/QV9ALz7vPb88fzs/Of84rzdvNi80/zPPMp8xfzBvL18uXy1PLE8rTyo/KR8n/ya/JX8kHyKvIR8fjx3fHC8abxi/Fw8VXxO/Ej8Qzw9/Dl8NPwxfC38KzwovCa8JLwi/CE8H3wdfBt8GPwWPBM8D/wMPAf8A7v++/o79Tvv++r75fvg+9v71zvSu857yjvF+8H7vju6O7Y7sfutu6k7pDufO5m7k/uN+4e7gTt6e3O7bLtl+197WTtTO017SHtD+z/7PLs5+ze7Njs1OzS7NHs0uzU7Nbs2Oza7Nzs3eze7N3s2+zY7NTsz+zJ7MLsu+yz7Kzspeye7JjskuyN7IjshOyB7H7seux37HPsbuxp7GPsXOxT7ErsQOw27CvsIOwW7AzsBOv+6/nr9+v36/rr/+wH7BHsHuwr7DnsSOxW7GLsbex27Hvsfux87Hbsbexg7E/sPOwl7A7r9evc68TrreuY64brdutr62TrYOtg62Tra+t264Prkeuh67Lrw+vU6+Tr8+wA7AzsF+wf7CbsLOww7DPsNew37DjsOew67DrsO+w77DzsPew97D7sPuw97D3sPOw67DjsNewy7C7sKuwm7CHsHOwX7BLsDewI7APr/uv66/Xr8Ovs6+jr4+vf69zr2OvV69Hrz+vM68rrx+vF68TrwuvB67/rvuu867vrueu467brtOuy66/rreuq66jrpeuj66Drnuuc65rrmOuW65Trk+uS65HrkOuQ64/rj+uP65DrkOuR65PrlOuX65nrnOuf66Prp+ur66/rtOu467zrwOvD68bryOvK68vrzOvM68zry+vK68jrxuvF68LrwOu+67zrueu367Xrsuuw663rq+uo66Xrouuf65zrmuuX65Xrk+uS65HrkeuR65Hrk+uV65frmuuc65/rouuk66frqeuq66vrrOus66zrq+uq66nrqOun66frp+un66jrqeur663rsOuz67brueu867/rwuvE68bryOvJ68rrzOvN68/r0evU69jr3uvl6+3r9+wC7A/sHuwu7D7sUOxj7HXsiOya7KzsvezM7Nvs6ez17QDtCu0T7RvtI+0r7TPtOu1C7UvtVO1e7Wjtc+1/7Yrtlu2i7a3tuO3D7c3t1u3e7eXt7O3y7fjt/u4E7gvuEu4b7iXuMu4/7k/uYe507oruoe657tPu7e8H7yLvPO9V723vg++Y76vvve/M79nv5e/v7/fv/vAE8AjwDfAQ8BTwF/Aa8B7wIfAl8CjwLPAw8DTwOfA98EHwRvBL8FDwVfBb8GHwaPBv8HfwgPCK8JXwoPCr8LjwxPDQ8N3w6fD08P/xCPEQ8RfxHfEh8SPxJPEj8SHxHvEa8RXxEPEK8QTw/vD58PTw7/Ds8Onw6PDo8Onw6/Dv8PPw+fEB8QnxE/Ee8SvxOfFH8VjxafF88ZDxpvG88dTx7PIG8iDyOvJW8nHyjPKn8sLy3PL28w/zJ/M981PzaPN885DzovO088fz2fPr8/70EfQm9Dv0UvRq9IP0nfS49NT08PUM9Sn1RPVf9Xn1kfWn9bz1zvXf9e31+vYE9g72FvYd9iT2K/Yy9jn2QfZK9lT2XvZp9nX2gPaM9pf2ofap9rH2tfa49rj2tvax9qn2n/aT9oX2d/Zn9lf2SPY59iv2H/YW9g72CfYG9gb2CfYN9hT2HPYm9jH2PPZI9lP2XvZo9nH2ePZ+9oP2hvaH9ob2hPaB9nz2d/Zx9mr2Y/Zc9lX2TvZI9kP2P/Y79jn2N/Y39jj2OvY99kH2RfZK9lD2VvZd9mT2a/Zy9nn2gPaH9o72lfac9qP2qvay9rr2wvbK9tP23Pbm9vD2+/cG9xL3Hfcp9zb3QvdO91n3Zfdw93v3hfeO95f3n/em96z3sfe297n3vPe+98D3wffC98L3wffB98D3v/e997z3uve497X3s/ew96z3p/ei9533lveP94j3gPd39273Zfdb91L3SfdB9zn3Mvcs9yf3JPch9x/3H/cf9yH3I/cl9yj3K/ct9zD3M/c29zj3Ovc99z/3QvdG90r3T/dW9173aPdz94H3kPeg97P3xvfa9+/4Bfga+C/4RPhX+Gn4efiI+JX4oPip+LH4tvi7+L74v/jA+MH4wfjB+MD4wPjA+MD4wfjC+MP4xfjG+Mn4y/jO+NL41fjZ+N744/jo+O348/j5+P/5BPkK+Q/5E/kW+Rj5GPkX+RT5EPkJ+QH49/js+OH41fjJ+L34s/ir+KX4ovij+Kb4rvi6+Mr43fj0+Q35KvlH+Wb5hvmk+cL53vn3+g76Ifox+j36RvpL+k36TfpK+kf6Qvo8+jf6M/ow+i76L/ox+jb6PPpF+lD6XPpp+nf6hvqV+qT6s/rB+s762vrl+u/6+fsB+wn7EPsW+x37I/sq+zH7OPtA+0j7UPtZ+2L7bPt1+377iPuQ+5n7oPuo+677tPu6+777w/vH+8v7z/vT+9f72/vg++X76/vx+/j7//wH/A/8Fvwe/Cb8Lfw0/Dv8QfxH/E38UvxX/Fz8Yfxm/Gz8cvx4/ID8iPyQ/Jr8pPyu/Ln8xPzP/Nr85Pzu/Pf8/v0F/Qv9D/0T/RX9F/0Y/Ov87Pzt/O788Pzy/Pb8+vz+/QX9DP0U/R79KP0z/T/9S/1X/WT9cP17/Yf9kf2b/aX9rv22/b79xf3M/dT92/3i/er98v36/gP+DP4V/h/+KP4y/jz+Rv5P/lj+Yf5p/nH+eP5+/oX+i/6R/pb+nP6i/qn+sP64/sH+y/7V/uD+7f76/wf/Fv8k/zP/Qv9R/2D/bv98/4n/lv+i/63/t//B/8v/1P/e/+f/8P/5AAMADQAYACMALwA8AEkAVgBkAHMAggCRAKAAsAC/AM4A3ADqAPgBBQERARwBJwEwATkBQAFHAUwBUAFSAVMBUwFRAU4BSQFDATsBMgEpAR4BEgEGAPoA7gDhANUAygDAALcArwCoAKMAnwCdAJ0AngCgAKMAqACuALQAuwDDAMwA1ADdAOcA8AD5AQMBDAEVAR8BKAExAToBQwFLAVMBWwFiAWgBbgFzAXcBewF+AYABggGDAYQBhQGHAYgBigGNAZABlAGZAZ4BpAGrAbEBuAG+AcQByQHNAdAB0gHSAdEBzwHLAccBwwG/AbsBuAG3AbgBuwHCAcsB2AHoAfsCEgIrAkcCZAKDAqECvwLdAvgDEQMnAzkDRwNSA1gDWwNZA1UDTQNDAzcDKgMcAw4DAALzAuYC2wLQAscCvwK3Aq8CqAKgApcCjAKBAnQCZQJVAkMCMAIcAgcB8gHeAcsBuQGoAZoBjgGFAX8BfAF7AXwBgAGFAYwBkwGbAaMBqwGzAbkBwAHFAcoBzgHSAdcB2wHgAeYB7QH2Af8CCgIWAiMCMQI+AkwCWAJkAm4CdQJ6AnwCegJ1Am0CYQJSAkACLAIWAf0B5AHLAbEBmAF/AWgBUgE+ASwBHAENAP8A8wDoAN0A0wDJAL8AtQCqAJ8AkgCFAHgAagBbAEwAPQAuAB4ADwAA//D/4f/S/8T/tf+l/5X/hf90/2H/Tv85/yP/DP7z/tn+vv6i/oT+Zv5H/if+B/3o/cj9qP2I/Wn9S/0t/Q/88vzW/Lr8nvyD/Gj8Tfwz/Bj7/fvi+8f7rPuR+3b7W/tA+yX7C/rx+tf6vfqk+oz6dPpd+kb6L/oZ+gP57fnX+cH5q/mU+X35ZvlP+Tf5HvkF+Oz40/i5+J/4hvht+FP4Ovgi+An38ffZ98H3qPeQ93f3XfdC9yf3C/bu9s/2sPaQ9m/2TfYr9gn15/XG9aX1hfVl9Uf1K/UQ9Pb03vTH9LH0nfSJ9Hb0Y/RQ9D70K/QY9AXz8fPd88nztfOh843zevNn81XzRPMz8yPzFfMG8vny7PLf8tLyxPK28qfylvKF8nHyXPJG8i7yFPH68d7xwvGm8Yrxb/FU8TvxI/EN8Pnw5/DX8MnwvfCz8KnwofCa8JLwi/CE8Hzwc/Bo8F3wUfBD8DTwJPAT8ALv7+/d78rvt++k75LvgO9v717vTe887yvvGu8J7vju5e7S7r7uqe6S7nvuYu5J7i/uFe367eDtxu2u7Zbtge1t7VztTO1A7TbtL+0q7SftJu0o7SrtLe0w7TPtNu057TrtOu047TTtL+0p7SHtF+0N7QLs9uzr7ODs1ezL7MPsu+y07K7squyl7KLsnuyb7JbskeyL7ITse+xx7GXsWexL7D3sLuwg7BPsCOv+6/jr9Ovz6/fr/uwJ7BfsKew97FTsbOyF7J7stuzM7N/s7+z87QTtB+0G7P/s9ezm7NTsv+yo7JDsd+xe7EbsMewd7A3sAOv26/Dr7uvu6/Lr+ewB7AvsF+wi7C7sOuxE7E7sVuxd7GLsZuxo7Gnsauxp7GjsZuxk7GLsYexg7F/sX+xf7F/sYOxh7GLsY+xj7GPsY+xi7GDsXexa7FXsUexL7EXsP+w47DHsK+wk7B7sGOwT7A/sC+wI7AbsBewE7ATsBOwF7AbsB+wJ7ArsC+wM7AzsDOwL7ArsB+wF7ALr/uv66/Xr8Ovr6+Xr4Ovb69br0evM68jrxOvB677ru+u567jrtuu267Xrteu167brt+u567vrvuvB68TryOvM69Dr1eva69/r5Ovq6+/r8+v46/zsAOwE7AfsCewL7A3sDuwP7A/sDuwO7A3sDOwK7AjsBuwD7ADr/ev56/Xr8evt6+jr4+ve69nr1OvP68rrxuvC67/rvOu567frtuu267brt+u467rrvOu/68LrxOvH68rrzevP69Hr0+vV69fr2Ova69vr3Ovd697r3+vf6+Dr4Ovg6+Dr4Ovg69/r3uvd69zr2+va69nr2eva69vr3evg6+Xr7Ovz6/3sCOwV7CPsM+xE7FbsaOx87I/so+y27Mns2+zs7PztC+0Z7SXtMe087UbtT+1Y7WHtau1y7Xvtg+2M7Zbtn+2p7bPtvO3G7c/t2O3h7ent8e347f/uBu4M7hPuGu4h7inuMu497knuVu5l7nXuh+6b7rDuxu7d7vXvDe8m7z7vVe9s74Hvle+n77jvx+/V7+Hv6+/07/zwA/AJ8A7wE/AX8BzwIPAk8CnwLvAz8DjwPfBC8EjwTfBS8FjwXfBi8GjwbfBz8HnwgPCH8I7wlvCe8KfwsPC68MPwzfDX8OHw6/D08PzxBPEK8RDxFPEX8RnxGvEa8RnxF/EU8RHxDfEK8QbxAvD/8Pzw+fD48Pfw9/D48Pnw/PEA8QXxC/ES8RrxJPEv8TvxSfFY8WjxevGO8aPxufHR8eryA/Ie8jnyVPJw8ovypvLA8tny8vMJ8x/zNPNH81nza/N884vzm/Or87vzzPPd8/D0BPQZ9DD0SPRi9H30mfS29NP08fUO9Sv1R/Vh9Xr1kPWl9bf1x/XV9eH16vXy9fn1/vYD9gj2DPYR9hb2HPYi9in2MfY59kH2SfZR9lj2XfZh9mP2Y/Zg9lv2U/ZI9jz2LPYb9gn19fXh9c31ufWm9ZX1hfV49W31ZfVf9Vz1XPVe9WP1avVy9Xz1iPWU9aD1rfW69cf10/Xe9en18/X79gP2CvYQ9hT2GPYb9h32HvYe9h32HPYb9hj2FvYT9hD2DfYL9gj2B/YF9gX2BfYH9gn2DPYR9hb2HfYk9i32NvY/9kn2VPZe9mj2c/Z99of2kPaZ9qL2q/a09rz2xfbO9tf24fbr9vb3AfcN9xr3J/c090H3Tvdb92f3cvd994b3jfeU95j3m/ed95z3m/eY95T3j/eJ94P3fPd192/3aPdi91z3V/dS9033SPdE9z/3Ovc19y/3Kfcj9x33FfcO9wb2//b39vD26vbk9t/22vbX9tX21PbT9tT21fbX9tn23Pbe9uD24vbk9uX25fbm9ub25vbm9ub25vbo9uv27/b09vv3BPcO9xv3Kfc490n3W/du94L3lfep97z3z/fh9/H4AfgP+B34KPgz+D34RfhN+FT4Wvhh+Gb4bPhy+Hf4ffiC+Ij4jfiT+Jj4nfij+Kf4rPix+LX4ufi++MH4xfjI+Mz4z/jR+NT41fjW+Nb41vjV+NL4z/jL+Mb4wPi6+LT4rvip+KT4ofif+KD4o/io+LH4vPjL+N348vkK+ST5QPld+Xv5mvm4+dX58PoJ+iD6NPpE+lL6XPpj+mf6afpo+mb6Yvpe+lr6VvpT+lH6UPpR+lX6Wvph+mr6dPqA+o36mvqo+rb6xPrR+t766vr1+v/7CPsQ+xf7Hvsk+yr7L/s1+zv7QftI+0/7V/tf+2j7cPt5+4L7i/uT+5v7ovuo+677s/u3+7r7vfu/+8H7wvvD+8X7xvvI+8r7zPvP+9P71/vc++H75/vs+/L7+Pv+/AT8CfwP/BT8Gfwe/CL8J/ws/DL8N/w+/EX8TPxV/F78aPxy/H38iPyT/J/8qfy0/L78xvzO/Nb82/zg/OT85/zp/Kr8rfyw/LL8tfy4/Lv8v/zE/Mn80PzX/N/86Pzy/Pz9B/0S/R79Kf00/T/9Sf1T/V39Zv1u/Xb9ff2E/Yv9kv2Y/Z79pP2r/bH9uP2//cb9zv3V/d395f3s/fT9/P4D/gr+Ev4Z/iD+J/4u/jX+Pf5F/k3+Vv5f/mn+dP5//ov+mP6l/rP+wf7P/t7+7P77/wn/F/8l/zL/P/9M/1j/ZP9v/3r/hf+Q/5v/pv+y/73/yf/W/+P/8P/+AA0AHAAsADsASwBcAGwAfQCNAJ4ArQC9AMwA2wDoAPUBAgENARcBIAEoAS4BMwE3ATkBOQE4ATUBMQEsASUBHQETAQkA/gDzAOcA2wDQAMUAugCxAKgAoQCbAJYAkwCRAJAAkQCTAJYAmgCfAKQAqwCxALgAvwDHAM4A1gDdAOQA7ADyAPkBAAEGAQwBEgEXARwBIAEkASgBKgEtAS8BMQEyATIBMwE0ATQBNQE2ATgBOgE8AUABRAFIAU4BUwFaAWABZgFsAXIBdwF8AX8BgQGDAYMBggGBAX8BfQF7AXkBeQF5AXwBgAGHAZABnAGrAbwB0AHmAf4CFwIyAkwCZgKAApgCrgLBAtIC3wLqAvEC9AL1AvMC7gLnAt4C1ALJAr0CsgKmApsCkQKHAn4CdQJtAmQCXAJUAksCQQI2AisCHgIRAgMB8wHkAdQBxQG2AagBmgGPAYUBfQF3AXMBcQFxAXMBdgF7AYABhwGNAZQBmwGiAagBrgGzAbkBvQHCAccBzQHSAdkB4AHpAfIB/AIGAhICHQIoAjMCPAJFAkwCUAJSAlICTgJIAj4CMgIjAhIB/gHoAdIBugGhAYkBcQFaAUQBLgEbAQgA9wDoANkAzAC/ALMAqACcAJEAhQB5AG0AYABTAEYAOAAqABwADv////H/4//W/8j/u/+t/5//kf+C/3P/Y/9R/z//K/8V/v7+5f7L/q/+kv5z/lT+M/4T/fL90f2w/Y/9cP1R/TP9Ffz5/N78w/yp/JD8ePxf/Ef8L/wW+/775fvL+7L7mPt9+2P7SPst+xL6+Prd+sT6q/qS+nr6Y/pM+jb6IfoM+ff54/nO+br5pfmQ+Xv5ZflO+Tf5IPkI+PD41/i++Kb4jfh0+Fz4Q/gr+BP3/Pfk98z3tPec94P3avdR9zb3G/b+9uH2w/ak9oX2ZfZE9iT2A/Xj9cT1pfWH9Wv1T/U19Rz1BPTu9Nj0w/Sv9Jz0ifR19GL0T/Q89Cj0FPQA8+zz2PPE87DznPOJ83fzZvNV80XzNvMo8xvzDfMA8vPy5vLY8snyufKn8pXygPJq8lPyOvIg8gXx6PHM8a/xk/F38VzxQvEq8RPw//Ds8NvwzPC/8LPwqfCg8JjwkPCJ8ILwe/Bz8GvwYfBY8E3wQfA18CjwGvAL7/zv7O/c78vvu++p75jvh+9072LvT+877ybvEe777uTuzO607pvuge5n7k7uNO4c7gTt7e3Z7cXttO2l7Zntj+2H7YHtfu197X3tfu2B7YPthu2J7YvtjO2L7Ynthu2B7Xrtcu1o7V7tU+1H7TztMe0m7RztE+0M7QbtAez97Pvs+ez37Pbs9Ozx7O3s6Ozh7NjszezA7LLsouyQ7H7sbOxb7EvsPewy7CvsJ+wn7CzsNuxF7Fjsb+yK7KjsyOzp7QrtKu1J7WTtfO2Q7Z7tp+2r7ajtoO2T7YHtau1R7TTtFuz47Nrsveyh7Insc+xh7FPsSexC7D/sP+xD7EjsUOxY7GLsa+x17H3sheyL7JDsk+yV7JXslOyS7JDsjeyK7IfshOyC7IDsf+x/7H/sgOyC7ITshuyI7IrsjOyN7I3sjOyL7IjsheyB7Hzsd+xx7GvsZexf7FnsVOxP7EvsSOxG7EXsROxE7EXsRuxH7EnsS+xM7E3sTuxO7E3sTOxJ7EfsQ+w+7DnsNOwu7CjsIuwc7BfsEewM7AfsA+v/6/zr+ev36/Xr8+vx6/Dr7+vu6+3r7Ovs6+vr6uvq6+rr6uvq6+rr6+vt6+/r8ev06/fr+uv+7APsB+wM7BDsFewZ7B7sIewl7CnsLOwu7DDsMuwz7DTsNew17DTsNOwz7DHsMOwu7CzsKewn7CTsIewe7BvsGOwV7BHsDuwM7AnsB+wF7APsAewA7ADr/+v/6//sAOwA7AHsAuwD7AXsBuwI7AnsC+wM7A7sEOwR7BPsFewW7BjsGuwb7B3sHuwg7CHsIuwj7CTsJewm7CfsKOwq7CvsLeww7DPsN+w87ELsSexR7FrsZOxv7HvsieyW7KXstOzD7NPs4uzy7QHtD+0d7SvtN+1D7U/tWu1k7W7td+2A7Yntku2a7aLtq+2z7bvtw+3L7dPt2u3h7ejt7+317fvuAe4G7gzuEe4X7h3uJO4s7jTuPu5J7lbuZO5z7oTul+6r7sDu1u7s7wPvGu8y70jvXu9074jvm++s77zvyu/X7+Lv7O/07/zwAvAI8A3wEvAW8BrwHvAi8CfwK/Av8DTwOfA+8EPwSPBN8FHwVvBc8GHwZvBr8HHwdvB88IPwivCR8JjwoPCp8LHwuvDD8Mzw1vDf8Ofw8PD48P/xBvEM8RLxF/Ec8SDxI/En8SnxLPEu8TDxMvE08TbxOPE78T3xQPFE8UfxS/FQ8VXxW/Fi8Wrxc/F98YjxlPGi8bLxwvHV8ejx/fIT8ivyQ/Jb8nTyjfKm8r/y1vLt8wPzF/Mq8zzzTPNb82nzdvOC847zmvOm87PzwfPQ8+Dz8fQF9Br0MPRI9GL0fPSY9LP0z/Tq9QX1HvU29Uz1YfVz9YP1kPWc9aX1rfWz9bj1vfXB9cX1yPXN9dL11/Xe9eX17PX19f32BvYO9hX2HPYh9iX2JvYm9iP2HvYX9g72A/X29ej12PXI9bj1qPWZ9Yv1fvVy9Wj1YPVa9VX1U/VT9VT1VvVa9WD1ZvVs9XT1e/WD9Yv1k/Wa9aH1qPWu9bT1ufW+9cL1xvXJ9cv1zfXN9c71zfXM9cr1yPXG9cP1wfW+9bz1uvW59bn1uvW89cD1xPXK9dH12vXj9e71+fYE9hD2HPYo9jP2PvZI9lL2WvZi9mn2cPZ29n32g/aJ9o/2l/af9qj2sva99sn21vbk9vP3AfcQ9x/3Lfc690b3UPdZ92D3Zfdo92n3aPdm92L3XfdW90/3R/c/9zf3L/cn9yD3GvcU9w73CfcE9v/2+vb19vD26/bl9t/22PbR9sr2wva79rP2rPal9p/2mfaV9pH2jvaM9ov2ivaL9oz2jfaO9pD2kfaS9pP2lPaU9pT2lPaU9pT2lfaW9pj2m/ag9qX2rPa19r/2y/bY9uf29vcH9xj3Kfc79033Xvdu9373jfec96n3tffB98z31vfg9+r38/f8+AX4DvgX+CH4Kvg0+D74R/hQ+Fn4Yvhq+HH4ePh++IP4iPiL+I74kfiS+JT4lPiU+JT4lPiU+JT4k/iT+JP4kviS+JP4lPiV+Jf4mfic+KH4pvit+Lb4v/jL+Nj45/j4+Qr5Hvkz+Ur5Yfl4+Y/5pvm9+dL55vn4+gn6F/oj+i36NPo6+j36P/o/+j/6Pfo8+jr6Ofo5+jr6O/o/+kT6SvpS+lz6Zvpx+n36ivqX+qP6sPq8+sb60fra+uL66vrx+vb6/PsA+wX7CvsO+xP7Gfsf+yX7LPsz+zv7Q/tM+1T7Xftl+237dPt6+4D7hPuI+4v7jfuP+5D7kPuR+5H7kfuR+5L7k/uV+5f7mvue+6L7p/us+7L7uPu++8T7y/vR+9f73Pvi++j77fvy+/j7/vwE/Ar8EfwY/CD8KPwx/Dr8RPxO/Fj8Yfxr/HX8ffyG/I38lPya/J/8o/yn/F78Y/xn/Gz8cPx1/Hr8gPyF/Iz8k/ya/KP8q/y1/L/8yfzT/N786fz0/P79Cf0T/Rz9Jf0t/TX9O/1C/Uf9Tf1R/VX9Wf1c/WD9Y/1m/Wn9bP1w/XP9d/17/X/9hP2J/Y/9lf2c/aP9q/2z/bz9xv3Q/dv95/30/gH+D/4d/iz+PP5M/lz+bf59/o7+nv6u/r7+zv7d/uv++f8H/xT/If8t/zn/RP9Q/1v/Zv9x/3z/iP+U/6D/rf+6/8f/1f/j//IAAQARACEAMQBBAFIAYgBzAIMAkwCjALEAwADOANoA5gDwAPkBAQEIAQ0BEAESARIBEQEOAQoBBAD+APYA7gDlANwA0gDJAMAAtwCvAKcAoACaAJUAkgCOAIwAiwCLAIwAjQCPAJEAlACXAJoAngCiAKYAqgCuALIAtgC6AL4AwgDGAMoAzgDRANQA1wDZANsA3QDeAN4A3wDeAN0A3ADbANoA2QDYANcA1wDXANcA2QDbAN4A4gDmAOoA7wD0APkA/gEDAQgBDAEPARIBFQEXARgBGgEbAR0BHwEhASUBKgEwATcBQAFLAVgBZgF1AYUBlwGoAbsBzQHeAe8B/gIMAhgCIgIqAi8CMwI1AjQCMgIvAioCJAIeAhcCEAIJAgIB/AH2AfAB6wHmAeEB3AHXAdIBzQHHAcABuQGyAaoBogGZAZABiAGAAXgBcQFqAWUBYQFfAV0BXQFeAWABYwFnAWwBcQF2AXwBggGIAY4BlAGaAZ8BpQGrAbEBtwG+AcUBzQHVAd0B5gHvAfgCAAIIAhACFgIaAh0CHwIeAhsCFQIOAgMB9wHoAdgBxQGyAZ0BhwFxAVsBRQEvARkBBQDxAN4AzAC6AKoAmgCKAHwAbQBfAFEAQwA1ACcAGQAL//7/8P/j/9f/yv+//7P/qP+d/5P/iP99/3L/Zv9a/0z/Pf8t/xr/B/7x/tn+v/6k/ob+Z/5H/ib+Bf3j/cD9nv19/Vz9PP0d/QD85PzJ/K/8lvx+/Gj8Ufw7/CX8EPv6++P7zPu1+537hPtr+1H7N/sd+wL66PrN+rP6mvqB+mn6Ufo6+iT6Dvn5+eX50fm9+an5lvmC+W75WvlF+TD5G/kF+O/42fjD+Kz4lfh/+Gj4Uvg8+Cb4EPf69+P3zfe295/3iPdv91b3Pfci9wb26vbN9q/2kfZy9lP2NPYW9fj12vW99aH1hvVs9VP1O/Uk9Q70+fTl9NH0vfSq9Jb0g/Rw9Fz0SPQ09CD0DPP38+Pzz/O786jzlfOC83HzYPNP8z/zL/Mg8xDzAfLx8uDyz/K98qrylvKB8mryUvI58h/yBfHp8c3xsfGW8XrxX/FF8SzxFfD/8Orw1/DG8Lbwp/Ca8I/whPB78HLwavBi8FvwU/BM8ETwPPA08CvwIfAX8A3wAe/07+fv2e/K77rvqe+W74Pvb+9Z70PvK+8T7vru4e7H7q3uk+567mLuSu407h/uDO387e3t4O3V7c3tx+3D7cDtv+2/7cDtwe3C7cTtxO3E7cPtwe2+7bnts+2s7aTtm+2S7YntgO137XDtae1k7WDtXe1c7VztXu1g7WLtZe1n7Wntae1n7WTtXu1W7UvtPu0v7R3tC+z37OTs0Oy/7K/souyZ7JTslOyY7KPssuzH7ODs/+0g7UXta+2S7bnt3u4B7iDuO+5Q7l/uaO5q7mXuWu5J7jLuFe317dLtrO2G7V/tOe0V7PTs1ey77KXsk+yF7Hzsd+x17HbseuyA7Ifsj+yX7J/spuys7LHstOy27Lbsteyz7K/sq+yn7KLsnuyZ7Jbsk+yR7JDsj+yQ7JHsk+yV7Jfsmeyb7J3snuyf7J/sn+ye7J3sm+yY7Jbsk+yQ7I7sjOyK7Ijsh+yH7Ifsh+yI7IjsieyJ7IrsiuyJ7IjshuyD7H/se+x27HDsauxk7F7sV+xQ7ErsRew/7DvsN+w07DLsMOww7C/sMOww7DHsMewy7DLsMuwx7DDsLuws7CnsJuwi7B7sGuwW7BLsD+wM7AnsB+wF7AXsBewG7AfsCuwN7BDsFOwY7BzsIewl7CnsLewx7DTsN+w67DzsPuxA7ELsQ+xE7EXsRuxH7EjsSexK7EvsTOxO7E/sUOxS7FPsVOxV7FbsV+xY7FjsWOxY7FjsWOxX7FbsVexT7FLsUexP7E7sTexM7EvsSuxK7ErsS+xM7E7sUOxS7FbsWexd7GLsZuxr7HHsdux87ILsh+yO7JPsmeyf7Kbsq+yy7LjsvuzF7Mvs0uzZ7ODs6Ozv7Pfs/+0I7RDtGe0h7SrtM+077UTtTO1V7V3tZe1u7Xbtfu2G7Y7tlu2e7aftr+237b/tyO3Q7djt4O3o7e/t9u397gPuCe4P7hXuGu4g7iXuK+4x7jfuPu5G7lDuWe5l7nHuf+6O7p7usO7C7tbu6u7+7xPvKO8871DvZO9274jvmO+n77Xvwe/M79bv3+/m7+zv8u/27/rv/vAB8ATwB/AK8A3wEPAT8BbwGfAd8CDwJPAn8CvwL/A08DjwPfBC8EfwTfBT8FrwYfBp8HLwe/CE8I7wmfCk8K/wu/DH8NPw3/Dr8PfxA/EQ8RvxJ/Ey8T3xSPFS8VzxZvFw8XnxgvGL8ZPxnPGk8avxsvG68cHxyPHP8dbx3fHl8e3x9fH+8gjyE/If8izyOvJI8ljyavJ78o7yofK18sny3fLw8wPzFvMn8zjzR/NW82Pzb/N684TzjfOW85/zp/Ow87rzxPPQ89zz6vP59Ar0HPQv9EP0WPRu9IP0mfSu9MP01vTp9Pn1CfUW9SL1LPU19Tz1QvVH9Uv1T/VT9Vf1XPVh9Wj1b/V39YD1ivWU9Z/1q/W29cH1zPXW9d/15vXs9fD18/X09fP18PXs9ef14PXZ9dH1yPXA9bf1r/Wn9aD1mfWT9Y71ivWG9YP1gfV/9X31fPV89Xv1e/V79Xv1evV69Xr1evV69Xr1evV69Xr1evV59Xn1ePV39XX1dPVy9XD1bvVs9Wr1aPVn9Wb1ZvVn9Wn1bPVw9Xb1ffWF9Y/1mfWl9bH1vvXL9dj15vXy9f72CfYT9hz2JPYr9jH2NvY79j/2QvZG9kr2T/ZU9lv2YvZr9nT2f/aM9pn2p/a19sP20vbg9u32+vcF9w73Fvcd9yH3JPcl9yT3Ivce9xr3FPcO9wf3APb59vL26/bj9t321vbQ9sn2w/a89rb2r/ao9qD2mfaR9on2gfZ59nH2avZi9lz2VfZQ9kv2R/ZE9kH2P/Y+9j32PfY+9j72P/ZA9kH2QvZE9kX2R/ZJ9kz2T/ZT9lj2XfZk9mz2dPZ+9on2lfah9q/2vPbK9tn25/b09wL3D/cb9yf3Mfc890X3T/dX92D3afdy93v3hPeP95r3pfex9773y/fZ9+f39fgC+A/4G/gn+DH4OvhB+Ej4TPhP+FH4UvhR+FD4TvhM+Er4SPhG+EX4RfhH+En4TfhT+Fr4Yvhs+Hj4hfiT+KP4s/jF+Nf46fj8+Q/5Ivk1+Uj5Wvls+X35jfmb+an5tfnB+cr50/nZ+d/54/nm+ej56fnq+er56vnq+er56/ns+e/58vn3+f36BPoN+hb6Ifot+jr6R/pU+mL6b/p8+oj6lPqf+qj6sfq4+r76xPrI+sz60PrS+tX62Prb+t/64/ro+u368/r6+wH7CfsR+xn7Ifsq+zH7OftA+0b7TPtR+1T7WPta+1z7Xvtf+2D7Yftj+2T7Zvtp+2z7cPt1+3r7gPuH+437lfuc+6P7qvux+7j7v/vF+8r7z/vU+9n73fvh++X76fvt+/L79/v8/AH8B/wN/BP8Gvwh/Cf8Lvw1/Dz8QvxI/E78VPxZ/CD8Jvws/DH8N/w9/ET8SvxR/Fj8YPxo/HD8efyC/Iv8lfyf/Kn8s/y9/Mb80PzZ/OL86vzx/Pj8/v0C/Qf9Cv0N/Q79D/0Q/RD9D/0O/Q39DP0L/Qr9Cv0K/Qv9DP0O/RH9Fv0b/SH9Kf0y/Tz9R/1U/WL9cP2A/ZH9o/22/cn93f3x/gX+Gf4t/kH+Vf5o/nv+jf6e/q/+v/7O/tz+6f72/wL/Df8Y/yL/LP82/z//Sf9T/13/Z/9x/3z/iP+U/6H/r/+8/8v/2v/q//sACwAcAC0APwBQAGAAcQCAAI8AnQCqALYAwQDKANIA2ADcAN8A4QDhAOAA3gDaANUA0ADKAMQAvQC2AK4ApwChAJoAlACOAIkAhAB/AHsAeAB1AHIAcABtAGwAagBpAGgAZwBnAGcAaABpAGoAbABuAHAAcwB2AHoAfgCBAIUAiACMAI4AkQCTAJQAlACUAJMAkgCQAI0AigCHAIQAgQB+AHwAegB4AHgAeAB4AHoAfAB/AIMAhwCLAJAAlQCaAJ8AowCoAKwAsAC0ALgAvAC/AMMAyADMANEA1gDcAOMA6gDyAPsBBAENARcBIAEpATMBOwFEAUsBUgFXAVwBYAFjAWUBZgFmAWYBZQFjAWIBYAFfAV0BWwFaAVkBWAFXAVYBVQFUAVMBUgFQAU4BTAFKAUcBRAFAAT0BOgE3ATQBMQEuAS0BKwErASsBKwEtAS8BMgE1ATkBPgFDAUgBTgFUAVoBYAFnAW4BdQF9AYUBjQGVAZ4BpgGvAbgBwAHJAdAB2AHeAeMB5wHpAeoB6QHnAeIB3AHTAckBvQGuAZ8BjgF8AWgBVAFAASoBFQEAAOoA1QDAAKwAlwCDAHAAXABKADcAJQATAAL/8f/h/9L/w/+0/6f/mv+O/4P/ef9w/2f/X/9Y/1D/SP9B/zj/L/8l/xn/DP79/uz+2f7D/qz+kv52/lj+Of4Z/ff91f2y/ZD9bf1M/Sv9C/zt/ND8tPya/IH8avxT/D78KfwV/AH77fvZ+8T7r/uZ+4P7bPtU+zv7IvsI+u760/q5+p/6hfps+lP6Ovoj+gz59vnh+cz5uPml+ZH5fvls+Vn5R/k0+SL5D/j8+On41vjD+K/4nPiI+HX4YfhO+Dr4JvgS9/336PfT9733p/eQ93j3X/dF9yv3D/bz9tb2uPaa9nz2XvZA9iL2BPXo9cv1sPWW9Xz1ZPVN9Tb1IPUL9Pf04/TQ9L30qfSW9IP0b/Rb9Ef0M/Qe9Arz9fPh88zzuPOk85DzffNq81jzRvM08yPzEvMC8vHy4PLP8r3yqvKX8oPybvJY8kLyKvIR8fjx3fHD8ajxjPFx8VbxO/Eh8Qfw7/DX8MHwrPCZ8Ifwd/Bo8FvwT/BE8DvwMvAr8CTwHvAY8BPwDfAH8AHv+u/y7+nv3u/S78Xvtu+m75TvgO9r71XvPe8k7wvu8e7X7r3upO6L7nPuXe5I7jbuJe4W7gnt/+337fDt6+3o7ebt5e3l7eXt5e3l7eXt5O3i7eDt3O3X7dLtzO3G7cDtuu207a/tq+2o7aftpu2o7avtr+207bvtwe3I7c/t1e3a7d3t3u3d7dnt0+3K7b7tsO2g7Y7tfO1q7VjtR+047S3tJe0h7SLtKe017UbtXe157Zntvu3l7g/uOu5l7o7ute7Z7vjvEu8l7zLvOO827y3vHO8G7ujuxu6f7nXuSe4b7e3twO2U7WztRu0l7Qjs7+zb7Mzswey77Lfst+y57L3sw+zJ7M/s1eza7N7s4Ozi7OHs3+zc7Njs0uzM7MXsv+y47LLsrOyn7KPsoOyd7Jzsm+yc7J3snuyg7KPspeyo7Krsreyv7LLstOy27Ljsuuy87L7swezD7MXsx+zK7MzszuzP7NHs0uzS7NHsz+zN7MnsxezA7Lrss+ys7KTsnOyT7Ivsg+x87HXscOxr7GfsY+xi7GDsYOxh7GLsZOxm7Gjsauxr7GzsbOxs7GrsaOxl7GHsXexX7FLsS+xF7D/sOewz7C3sKewl7CLsIOwe7B7sH+wg7CLsJewo7CvsLuwy7DbsOew87EDsQuxF7EfsSexL7E3sTuxQ7FLsVOxX7FnsXOxf7GPsZ+xr7HDsdex67H/sg+yI7IzskOyU7Jfsmeyb7J3sneyd7J3snOya7JjsluyU7JLskOyO7Izsi+yL7IvsjOyN7JDsk+yX7Jzsouyo7K/st+zA7Mjs0uzb7OXs7+z47QLtC+0V7R7tJu0v7TftPu1G7UztU+1Z7V7tY+1o7W3tce117XntfO2A7YPth+2K7Y7tke2V7Zntne2h7abtq+2w7bbtvO3C7cnt0O3X7d/t5+3u7fbt/u4G7g7uFu4e7iXuLO407jvuQu5K7lHuWe5i7mruc+597ojuk+6f7qvuue7H7tbu5e717wXvFe8m7zbvRu9W72Xvc++B747vme+k767vt++/78bvzO/R79bv2u/e7+Hv5O/n7+nv7O/v7/Hv9O/37/rv/fAA8ATwB/AL8A/wFPAZ8B7wJPAq8DDwOPA/8EjwUfBb8GXwcPB88InwlvCk8LLwwPDQ8N/w7vD+8Q7xHvEu8T7xTvFe8W3xffGM8ZvxqvG48cfx1fHi8e/x/PIJ8hXyIfIs8jfyQfJL8lXyXvJo8nHyevKD8o3yl/Kh8qvytvLB8szy2PLl8vLy//MM8xnzJvM080DzTfNY82TzbvN484LzivOS85rzofOp86/zt/O+88XzzvPW8+Dz6vP19AH0DvQb9Cn0N/RF9FT0YvRw9H30ifSU9J/0qfSx9Ln0wPTF9Mv0z/TU9Nj03fTi9Of07fT09Pz1BfUP9Rr1JvUy9T/1TfVa9Wj1dfWC9Y/1mvWk9a71tvW89cH1xfXI9cn1yfXI9cf1xPXA9bz1uPWz9a71qPWj9Z31l/WS9Yz1hvWA9Xr1dPVv9Wr1ZPVf9Vr1VvVS9U71SvVH9UX1QvVA9T71PPU79Tn1OPU29TT1MvUx9S/1LPUq9Sn1J/Um9Sb1JvUn9Sn1LPUx9Tb1PvVG9VD1W/Vn9XT1gfWP9Z31q/W59cb10/Xe9ej18vX69gH2B/YM9hD2E/YW9hr2HfYg9iT2KfYv9jX2PfZG9k/2WvZl9nH2ffaK9pb2ovat9rf2wPbI9s/21PbY9tr22/ba9tj21fbQ9sv2xfa+9rf2r/an9p/2l/aP9of2f/Z39m/2Z/Zg9lj2UfZK9kT2PfY39jH2K/Ym9iH2HPYY9hT2EfYO9gv2CfYH9gX2A/YC9gH2APX/9f/1//YA9gH2A/YG9gr2DvYT9hr2IfYq9jP2PvZJ9lX2YfZt9nr2hvaT9p/2qva09r72yPbQ9tf23vbl9uv28vb49v/3BvcO9xf3Ivcu9zr3SPdY92j3efeL9533rvfA99H34Pfu9/v4BfgO+BT4GPga+Br4GfgW+BL4DfgI+AP3/vf79/n3+ff8+AD4B/gR+B34Lfg++FL4aPiA+Jn4tPjO+On5BPkf+Tj5UPlm+Xr5jPmc+ar5tfm++cT5yfnL+cz5y/nJ+cb5wvm++br5t/m0+bL5sfmy+bT5t/m9+cT5zfnX+eP58fn/+g/6H/ow+kH6Ufpi+nH6gPqO+pv6pvqw+rj6v/rF+sn6zfrP+tH60vrT+tT61vrX+tn63Prf+uP66Pru+vT6+/sC+wr7EvsZ+yH7KPsv+zX7O/tA+0T7SPtL+077UPtS+1T7VvtY+1v7Xvth+2b7a/tw+3b7ffuE+4z7lPuc+6T7rPuz+7v7wfvH+8z70fvV+9j72/vc+9773/vg++H74vvj++T75fvn++r77Pvv+/P79/v7/AD8BfwK/A/8Ffwa/AX8CvwP/BX8Gvwg/Cb8LPwz/Dr8QfxI/E/8V/xf/Gf8b/x3/ID8iPyQ/Jj8oPyo/K/8tfy7/MH8xfzJ/Mv8zfzO/M/8zvzN/Mv8yfzG/MT8wfy+/Lv8ufy3/Lb8tvy3/Ln8vfzB/Mf8z/zY/OL87vz7/Qr9Gv0r/T39UP1k/Xn9jv2j/bj9zv3j/fj+Df4h/jX+R/5Z/mr+e/6K/pj+pv6y/r7+yv7U/t7+6P7y/vv/Bf8O/xj/Iv8s/zj/Q/9Q/13/a/95/4n/mf+p/7v/zP/e//AAAwAUACYANwBIAFgAZgB0AIAAiwCVAJ0ApACqAK0AsACxALEAsACuAKsApwCiAJ4AmACTAI0AhwCCAHwAdgBxAGsAZgBgAFsAVgBRAEwARgBBAD0AOAAzAC8AKwAoACUAIwAiACEAIQAiACMAJQAoACwAMAA1ADkAPgBDAEgATABPAFIAVQBWAFYAVgBUAFIATwBMAEgARAA/ADsANwAzADAALgAsACsAKwAsAC4AMQA0ADgAPABBAEcATABRAFcAXABhAGYAagBuAHIAdgB5AH0AgACDAIYAigCOAJIAlgCaAJ8ApACqAK8AtQC7AMAAxgDLANEA1QDaAN4A4gDlAOgA6wDtAO8A8ADxAPIA8wDzAPQA9AD0APQA8wDzAPMA8gDxAPAA7wDuAO0A7ADqAOkA6ADnAOYA5gDlAOUA5QDmAOcA6ADqAOwA7wDyAPYA+gD/AQQBCQEPARYBHQEkASwBNAE8AUUBTgFXAWABagFyAXsBgwGLAZIBmAGcAaABogGjAaMBoQGdAZcBkAGHAX0BcAFjAVQBRAEzASEBDgD7AOcA0gC9AKgAkwB+AGgAUwA+ACkAFAAA/+v/1//E/7H/n/+O/33/bf9f/1H/Rf85/y//Jv8d/xb/D/8I/wL++/70/u3+5P7b/tD+w/60/qT+kf58/mb+Tf4y/hX99/3X/bf9lv11/VP9Mv0S/PL80/y2/Jr8f/xl/E38Nvwg/Av79/vj+9D7vfup+5X7gfts+1f7Qfsq+xP6+/ri+sn6sPqX+n76ZPpM+jP6G/oE+e752PnD+a/5m/mI+XX5ZPlS+UH5L/ke+Q34/fjs+Nv4yvi4+Kf4lviE+HP4YfhP+Dz4KfgX+AP37/fb98X3sPeZ94H3afdQ9zb3HPcA9uT2x/aq9o32b/ZS9jX2GPX89eD1xfWr9ZH1efVi9Uv1NfUg9Qv09/Tk9ND0vfSq9Jb0g/Rv9Fv0R/Qy9B30CPPz897zyfO086DzjPN582bzVPNC8zLzIfMS8wLy8/Lk8tXyxfK18qXyk/KB8m7yWfJD8izyFPH68d/xw/Gm8Ynxa/FN8S/xEfD08NjwvfCk8IzwdvBi8FDwQfAz8CfwHvAW8BDwDPAI8AbwBPAC7//v/e/57/Xv7u/m793v0e/D77Pvoe+N73fvX+9H7y3vE+747t7uxO6r7pPufe5o7lXuRe427iruIO4Z7hPuD+4M7gruCu4K7gruC+4L7gvuCu4J7gfuBO4B7f7t+u337fPt8O3u7e3t7e3u7fDt9O357f/uB+4P7hfuH+4n7i/uNe467j3uPu487jjuMu4p7h/uEu4E7fbt5+3Z7cztwe247bPtsu217b3tyu3c7fPuDu4u7lLuee6i7szu9+8g70jvbe+N76nvwO/Q79nv2+/W78rvt++e73/vW+8z7wfu2u6r7nzuTe4g7fbtz+2r7YvtcO1Y7UbtN+0s7SXtIe0f7R/tIe0k7SbtKe0s7S3tLu0t7SvtKO0k7R7tF+0Q7QjtAOz47PDs6Ozh7Nvs1ezR7M3syuzJ7MjsyOzJ7MvszezP7NLs1uza7N3s4uzm7Ors7+zz7Pjs/e0B7QbtCu0P7RLtFu0Y7RvtHO0d7RztG+0Z7RXtEe0M7QXs/uz27O7s5uzd7NTszOzE7Lzsteyv7Knspeyh7J7snOyb7Jrsmuya7Jrsmuya7JnsmOyX7JXskuyP7IvshuyB7Hzsduxx7GvsZuxh7F3sWexW7FPsUuxR7FHsUexS7FTsVuxZ7FvsXuxg7GPsZexn7Gnsa+xs7G3sbuxv7G/scOxx7HLsdOx17Hjse+x+7ILshuyL7JDsleyb7KHsp+yt7LLsuOy97MHsxezI7MvszezP7M/s0OzQ7NDsz+zP7M/szuzO7M/sz+zR7NPs1uzZ7N7s4+zp7PDs9+z/7QjtEe0a7STtLu057UPtTe1X7WHta+107X3the2N7ZXtnO2i7ajtru2z7bjtvO3A7cTtx+3K7c3tz+3S7dTt1u3Z7dvt3e3f7eLt5O3n7ert7e3w7fTt9+377gDuBe4J7g/uFO4a7iDuJu4t7jTuO+5C7kruUu5a7mPubO527oDuiu6V7qDurO647sTu0e7e7uvu+e8G7xTvIu8v7zzvSe9V72HvbO9374Hviu+T75vvou+o767vtO+4773vwe/F78nvzO/Q79Tv1+/b79/v4+/o7+3v8e/27/zwAfAH8A3wE/AZ8CDwJ/Av8DbwPvBH8FDwWvBk8G/wevCG8JPwoPCu8LzwyvDa8Onw+fEJ8RnxKfE58UnxWfFp8XnxifGY8ajxt/HG8dXx5PHz8gHyEPIe8i3yO/JJ8lbyZPJx8n7yivKW8qLyrfK48sPyzfLX8uDy6vLz8vvzBPMM8xTzHfMl8y3zNfM980bzTvNW817zZvNt83XzffOE84zzk/Oa86HzqfOw87fzvvPF883z1PPc8+Tz7fP18/70B/QQ9Bn0IfQq9DP0O/RD9Ev0UvRZ9F/0ZfRr9HD0dfR79ID0hfSK9JD0lvSd9KT0rPS09L70yPTT9N706vT39QP1EPUd9Sr1N/VD9U/1WvVk9W31dvV99YT1ifWN9ZD1k/WU9ZT1lPWS9ZD1jfWJ9YX1gPV79XX1b/Vo9WL1W/VU9U31RvVA9Tr1NPUu9Sr1JfUi9R/1HfUb9Rr1GfUZ9Rn1GfUa9Rr1GvUa9Rr1GfUY9Rf1FfUT9RD1DvUM9Qn1CPUH9Qf1B/UJ9Qz1EPUW9R31JvUv9Tr1RvVT9WH1bvV89Yr1mPWl9bL1vfXI9dL12vXi9ej17vXz9ff1+/X/9gL2BvYK9g72E/YZ9iD2J/Yv9jf2QPZJ9lP2XPZl9m72d/Z+9oX2i/aP9pP2lfaV9pT2kvaP9ov2hfZ/9nj2cPZo9mD2V/ZP9kb2PvY39jD2KfYj9h72GfYV9hH2DvYM9gr2CPYH9gb2BfYE9gP2AvYA9f/1/fX79fn19vXz9fH17vXs9er16fXo9ej16PXq9e318fX29f32BPYN9hb2IfYs9jf2Q/ZP9lr2ZfZw9nr2g/aL9pL2mPae9qL2p/ar9q/2tPa59r/2xvbO9tj24/bw9v/3D/ch9zT3SPdd93L3h/ec96/3wvfS9+D37ff29/34AvgE+AT4Aff99/j38ffr9+T33vfa99f31vfY99335ffw9/74EPgk+Dv4Vfhx+I74rfjM+Ov5Cfkm+UL5XPl0+Yn5m/mq+bb5v/nF+cj5yfnI+cX5wfm7+bb5sPmq+aX5ovmf+Z/5oPmk+ar5svm8+cn51/nn+fn6DPog+jT6Sfpe+nL6hvqY+qr6uvrI+tX64Prq+vH69/r8+v/7AvsD+wT7BfsF+wX7BvsH+wn7C/sO+xL7F/sc+yL7KPsv+zb7PvtF+0z7UvtZ+177Y/tn+2v7bvtx+3P7dft2+3f7eft6+3z7f/uB+4X7ifuO+5P7mfug+6b7rvu1+737xPvL+9L72Pve++L75/vq++z77vvv++/77/vu++377Pvr++n76Pvn++f75/vn++j76fvr++378Pv0+/f7+/wA+/j7/Pv//AT8CPwN/BL8F/wd/CP8KPwv/DX8O/xC/Ej8T/xV/Fz8Yvxp/G/8dPx6/H/8g/yH/Iv8jvyQ/JL8k/yT/JP8k/yS/JD8j/yN/Iv8ifyI/Ib8hvyG/Ib8iPyK/I78kvyX/J78pvyv/Ln8xfzR/N787Pz7/Qv9G/0s/T39Tv1f/XH9gv2T/aT9tf3F/dX95f3z/gL+EP4d/ir+N/5D/lD+XP5n/nP+f/6L/pf+pP6x/r/+zf7b/uv++/8M/x3/L/9B/1T/aP98/5D/pP+4/8z/4P/zAAUAFwAnADcARQBSAF4AaABxAHgAfgCCAIYAiACIAIgAhwCFAIIAfwB8AHgAcwBvAGoAZQBhAFwAVwBSAEwARwBBADwANgAvACkAIgAcABUADgAHAAH/+v/0/+//6v/m/+P/4f/f/97/3//g/+L/5P/o/+v/7//z//f/+///AAIABAAGAAcABwAGAAUAAwAA//z/+f/1//H/7f/p/+X/4//g/9//3v/e/9//4f/k/+f/6//w//X/+gAAAAUACwAQABYAGwAfACQAKAAsAC8AMwA3ADoAPgBBAEUASgBPAFQAWQBfAGUAbAByAHkAgACHAI4AlQCbAKEApgCrAK8AswC2ALgAuQC6ALoAuQC4ALYAtACyAK8ArACqAKcApAChAJ8AnQCbAJkAmACXAJYAlgCXAJcAmACaAJsAnQCgAKIApQCoAKwAsAC0ALgAvADBAMcAzADSANgA3gDlAOwA8wD7AQIBCQERARgBHwElASsBMQE1ATkBPAE9AT4BPQE7ATcBMgEsASQBGwERAQYA+QDsAN0AzgC+AK4AnQCLAHkAZwBVAEIALwAcAAn/9v/k/9H/vv+r/5n/hv90/2P/Uf9B/zH/If8T/wX++P7r/uD+1f7L/sH+uP6v/qb+nf6T/or+f/5z/mf+WP5J/jj+Jf4R/fv94/3L/bD9lf14/Vv9Pf0f/QH84/zF/Kj8jPxw/FX8PPwj/Av79Pve+8j7s/uf+4v7dvti+077Ofsk+w/6+frj+sz6tfqe+of6b/pY+kD6KfoS+fz55vnQ+bv5p/mU+YD5bvlc+Ur5Ofko+Rf5Bvj2+OX41fjE+LT4o/iS+IH4cPhf+E74PPgq+Bj4Bvfz9+D3zPe496T3j/d592P3TPc19x33BPbr9tH2t/ac9oH2ZvZM9jH2FvX89eP1yvWx9Zn1gvVr9VX1QPUr9Rf1A/Tv9Nv0x/S09KD0i/R39GP0TvQ59CT0DvP58+Tzz/O686bzkvN/823zW/NK8zrzK/Mc8w7zAPLz8uXy2PLJ8rvyq/Ka8ojydfJg8kryMfIY8fzx3/HB8aLxgvFi8ULxIfEC8OPwxfCq8JDwePBj8FDwQPAy8CjwIPAa8BfwFfAV8BbwGPAa8BzwHfAd8BzwGfAV8A3wBO/47+nv2O/F76/vmO9/72XvSu8w7xXu+u7h7snus+6e7ozufO5v7mTuW+5V7lHuTu5N7k7uT+5R7lTuVu5Z7lvuXO5d7l7uXe5d7lvuWe5X7lXuVO5S7lLuUu5S7lTuV+5a7l/uZO5q7nDudu587oHuhu6J7ovujO6L7ojuhO5+7njucO5o7l/uV+5P7knuRe5E7kXuSe5R7l3ubO6A7pfusu7P7u/vEu8171nvfO+e777v2+/18ArwGvAl8CrwKvAj8BfwBe/u79Lvsu+P72nvQu8Z7vDuyO6g7nvuWO437hruAO3p7dbtxu257a7tpu2h7Z3tmu2Y7Zbtle2U7ZLtj+2M7Yjtg+1+7XftcO1p7WHtWe1R7UrtQ+087TbtMO0r7SjtJO0i7SDtH+0f7R/tH+0g7SHtI+0k7SbtKO0r7S3tL+0y7TXtOO077T3tQe1D7UbtSe1L7U3tT+1Q7VHtUe1Q7U7tTO1J7UXtQe077TbtL+0p7SLtG+0U7QztBuz/7Pjs8uzt7Ofs4+ze7Nrs1uzS7M/szOzI7MXswey+7Lrstuyy7K7squym7KLsnuya7Jbsk+yR7I7sjeyM7Ivsi+yM7I3sjuyQ7JLslOyX7Jnsm+yd7J/soeyi7KPspOyl7KXspuym7Kbspuyn7Kjsqeyq7Kzsruyx7LTst+y77MDsxOzJ7M7s0uzX7Nzs4Ozk7Ojs7Ozv7PLs9Oz27Pjs+ez77Pzs/ez/7QDtAu0F7QjtC+0P7RPtGe0e7SXtLO0z7TvtRO1N7VbtX+1o7XLte+2E7Y3tlu2e7abtru217bztwu3I7c7t0+3Z7d7t4u3n7evt7+307fjt/O4A7gTuCO4M7hDuFO4Y7hzuIO4j7ifuK+4u7jHuNO437jruPe5A7kPuRu5I7kvuTu5S7lXuWe5d7mLuZ+5t7nPueu6B7onuku6b7qbusO687sfu1O7g7u3u+u8I7xXvIu8u7zvvR+9T717vaO9x73rvgu+J75Dvlu+b76DvpO+o76vvr++y77XvuO+877/vw+/I78zv0u/X793v5O/r7/Lv+vAC8ArwE/Ac8CbwL/A68ETwTvBZ8GTwcPB88IjwlfCi8K/wvfDL8Nnw6PD38QXxFfEk8TPxQvFQ8V/xbfF78Ynxl/Gk8bDxvfHJ8dXx4fHs8fjyA/IP8hvyJvIy8j7ySvJX8mPycPJ88ojylfKh8q3yufLE8s/y2vLk8u7y9/MA8wnzEfMY8yDzJ/Mu8zXzPPNC80nzUPNY81/zZvNu83bzf/OH85DzmfOi86vztPO988fz0PPZ8+Lz6vPz8/v0AvQK9BH0F/Qe9CP0KfQu9DP0N/Q89ED0RPRI9Ez0UPRU9Fj0XfRi9Gf0bfRz9Hr0gfSJ9JH0mvSk9K30t/TC9Mz01/Th9Oz09vUA9Qr1E/Uc9SX1LfU09Tv1QfVG9Ur1TvVR9VP1VfVV9VX1VfVT9VH1TvVK9Ub1QfU89Tb1MPUp9SL1G/UU9Q31B/UA9Pv09vTx9O706/Tp9Oj06PTp9Ov07fTw9PP09vT69P71AfUE9Qb1CPUJ9Qn1CfUI9Qb1BPUB9P70+/T49Pb09PTy9PL08vT09Pf0/PUB9Qj1EfUa9ST1MPU89Uj1VfVh9W71evWF9ZD1mvWk9az1tPW69cD1xvXL9c/10/XY9dz14PXl9er18PX29f32BPYM9hT2HfYl9i72NvY+9kb2TPZS9lf2W/Ze9l/2YPZf9l32WvZV9lD2S/ZE9j72N/Yw9in2IvYc9hb2EfYN9gr2B/YF9gT2BPYE9gX2BvYI9gr2DPYO9g/2EfYS9hP2E/YU9hP2E/YS9hL2EfYQ9hD2EPYR9hP2FfYZ9h32I/Yp9jD2OPZB9kv2VPZe9mj2cvZ79oT2i/aS9pj2nPag9qL2pPal9qX2pvam9qb2p/ap9q32sfa49sH2y/bY9uf2+PcL9x/3NfdM92P3e/eS96j3vffR9+P38vf/+An4EfgW+Bn4GvgY+BX4EfgM+Af4Avf/9/z3+/f9+AH4B/gR+B34LPg++FL4afiC+Jv4tvjR+Oz5B/kg+Tj5Tvli+XP5gvmO+Zf5nfmg+aH5ofme+Zr5lfmQ+Yr5hvmC+X/5fvl/+YL5h/mP+Zn5pvm1+cb52fnu+gT6G/oz+kv6ZPp7+pL6qPq9+tD64vrx+v/7C/sV+x37JPsq+y77Mfsz+zX7Nvs4+zn7O/s9+0D7Q/tH+0z7UvtY+1/7Zvtu+3X7ffuF+4z7k/uZ+5/7pPup+6z7r/uy+7P7tfu2+7b7t/u3+7j7ufu6+7z7vvvA+8T7x/vM+9D71fvb++D75fvr+/D79Pv5+/z7//wC/AT8BfwF/AX8BPwC/AH7/vv8+/r79/v1+/L78Pvv++377Pvs++z77fvu+/D78vv1+9f72fvc+9/74/vn++z78fv2+/z8AfwH/A38E/wZ/B/8Jfwr/DD8Nfw6/D78QvxG/En8TPxO/FD8UfxS/FL8UvxS/FL8UfxR/FH8UfxR/FH8UvxT/FX8V/xa/F78Y/xo/G78dPx8/IT8jPyV/J/8qPyz/L38yPzS/N385/zy/Pz9B/0R/Rv9Jf0u/Tj9Qf1L/VT9Xv1n/XH9e/2G/ZH9nP2o/bX9wv3Q/d797v3+/g/+If40/kf+W/5w/ob+nP6z/sv+4v76/xL/K/9D/1r/cv+I/5//tP/I/9z/7v//AA8AHQAqADYAQABJAFAAVgBaAF4AYABiAGIAYgBhAF8AXQBbAFgAVQBSAE4ASwBHAEMAPgA5ADUALwApACMAHQAWAA8AB/////f/7v/m/93/1f/M/8T/vf+1/6//qf+k/5//nP+Z/5b/lf+U/5P/k/+T/5P/k/+U/5T/lP+T/5L/kf+P/43/iv+H/4T/gP99/3r/dv9z/3H/b/9t/23/bf9t/2//cf9z/3f/e/9//4T/if+O/5T/mf+f/6T/qv+v/7X/uv+//8T/yf/P/9T/2v/g/+f/7v/1//0ABQAOABcAIAAqADMAPQBGAE8AVwBfAGYAbABxAHUAeQB7AHwAfAB7AHgAdQByAG0AaABjAF0AWABSAE0ASABEAEAAPAA6ADgANwA3ADgAOQA7AD4AQQBFAEkATgBTAFkAXgBkAGoAcAB2AHwAggCIAI0AkwCZAJ8ApQCqALAAtQC6AL8AwwDHAMsAzgDQANEA0gDSANAAzgDLAMYAwAC6ALIAqQCfAJQAiAB8AG8AYQBTAEQANQAmABcACP/6/+v/3P/N/7//sf+j/5X/h/95/2v/Xf9P/0H/Mv8k/xX/B/74/ur+2/7M/r7+r/6h/pP+hf53/mn+W/5N/j/+Mf4j/hT+Bf32/eX91f3D/bH9nv2K/Xb9YP1K/TP9HP0D/Ov80vy5/J/8hvxs/FP8Ovwh/An78fvZ+8H7qvuT+3z7ZvtP+zn7IvsM+vX63/rI+rH6mvqD+mz6Vfo/+ij6Efn7+eX50Pm7+af5k/l/+Wz5WflH+Tb5JPkT+QL48vjh+NH4wPiw+J/4jvh++G34XPhK+Dn4J/gW+AT38vfg9873vPeq95f3hPdx9173S/c39yP3D/b69uX20Pa69qT2jvZ39mH2SvYz9hz2BvXv9dn1wvWt9Zf1gvVs9Vj1Q/Uv9Rv1B/Ty9N70yvS29KH0jfR49GP0TvQ49CP0DfP48+PzzvO586XzkvN/823zW/NK8zrzK/Mc8w3y//Lw8uLy0/LE8rTyo/KS8n7yavJT8jzyIvIH8evxzfGv8Y/xb/FP8S7xDvDw8NLwtvCc8IPwbvBb8EvwPvA08C3wKPAm8CbwKPAs8DDwNfA68D/wRPBG8EjwR/BE8D/wN/As8B/wD+/97+nv0u+776Lvie9v71bvPe8l7w/u++7p7tnuzO7B7rnus+6w7q7ur+6x7rXuue6+7sTuye7O7tPu1+7a7tzu3e7e7t3u3O7a7tfu1O7R7s/uzO7K7sjuyO7I7sjuyu7M7s7u0e7U7tju2+7e7uHu5O7m7ufu5+7o7ufu5u7m7uXu5e7l7ubu6O7s7vLu+e8D7w/vHe8t7z/vU+9p74Dvl++v78bv3e/z8AbwGPAm8DLwOvA+8D7wOvAx8CbwFvAC7+zv0u+375nve+9b7zzvHO797t/uw+6p7pDuee5l7lLuQu407ifuHO4S7gruA+387fbt8O3q7eXt3+3Z7dPtze3H7cDtuu207a7tqO2i7Z3tmO2U7ZDtje2K7Yjthu2E7YLtge2A7X/tfe187Xvtee137XXtc+1x7W/tbe1q7WjtZu1l7WPtYu1h7WHtYO1g7WHtYe1i7WLtY+1j7WTtZO1k7WPtYu1h7V/tXe1a7VftVO1Q7UztSO1D7T7tOe0z7S7tKO0j7R7tGO0T7Q3tCO0C7P3s+Ozz7O7s6ezk7N/s2+zX7NPs0OzN7MrsyOzG7MXsxOzE7MPsxOzE7MXsx+zI7Mrsy+zN7M/s0OzS7NTs1ezW7Nfs2OzZ7Nrs2+zc7N3s3uzf7ODs4uzk7Obs6Ozr7O3s8ez07Pfs+uz97QDtA+0G7QntC+0N7Q/tEO0R7RLtE+0T7RTtFO0V7RbtF+0Y7RrtHe0f7SPtJ+0s7TLtOO0/7UftT+1Y7WHtau1z7X3th+2R7Zrto+2s7bXtve3F7c3t0+3a7eDt5e3r7e/t9O347fzuAO4E7gjuDO4R7hXuGe4e7iPuKO4t7jLuN+497kPuSO5O7lTuWe5e7mTuae5t7nLudu567n7ugu6F7ojujO6P7pLulu6Z7p3uoe6m7qvusO627r3uxO7M7tTu3e7m7vDu+u8E7w/vGu8k7y/vOe9D703vV+9g72jvb+92733vgu+H74zvj++T75XvmO+a75zvn++h76Pvpu+p76zvsO+077nvvu/F78vv0+/b7+Pv7O/28ADwC/AW8CLwLvA68EfwVfBi8HDwf/CN8JzwrPC78Mvw2/Dq8PrxCvEa8SnxOfFI8VbxZfFy8X/xjPGY8aPxrvG58cLxzPHV8d7x5vHv8ffx//II8hHyGvIj8i3yN/JB8kvyVvJi8m3yefKE8pDynPKn8rLyvvLI8tPy3fLn8vHy+vME8w3zFvMf8yfzMfM680PzTfNX82LzbfN484TzkfOd86rzt/PE89Lz3/Ps8/j0BPQQ9Br0JfQu9Db0PvRE9Er0T/RS9Fb0WPRa9Fv0XPRc9Fz0XfRd9F30XvRf9GH0Y/Rm9Gn0bfRy9Hf0fPSD9In0kPSY9J/0p/Sv9Lf0v/TG9M701fTc9OL06PTu9PP0+PT99QH1BPUH9Qr1DPUO9Q/1EPUQ9RD1D/UN9Qr1B/UD9P/0+fTz9O305vTe9Nf0z/TH9L/0t/Sw9Kr0pPSf9Jv0mPSW9Jb0lvSY9Jv0n/Sk9Kn0r/S29Lz0w/TK9ND01fTa9N704vTk9Ob05vTm9Ob05PTi9OD03vTc9Nr02PTX9Nf02PTa9Nz04PTl9Or08fT49QD1CfUS9Rv1JPUt9Tb1PvVG9U71VfVc9WL1aPVt9XL1d/V89YH1hvWM9ZL1mfWg9af1sPW59cL1zPXX9eH17PX39gL2DPYV9h/2J/Yu9jX2OvY+9kH2QvZD9kL2QPY+9jv2N/Yy9i72KfYk9iD2G/YX9hT2EfYP9g32DfYN9g32D/YR9hP2FvYa9h32IfYm9ir2L/Y09jn2P/ZF9kv2UfZY9mD2aPZw9nn2g/aN9pf2ovat9rj2w/bO9tj24fbq9vH29/b89wD3AfcB9wD2/fb59vP27fbl9t721vbP9sj2w/a/9r32vfbA9sT2zPbX9uT29PcG9xv3MfdJ92L3fPeW97D3yffh9/f4DPgf+C/4PfhJ+FL4WPhd+GD4Yfhi+GH4YPhf+F/4X/hh+GT4aPhv+Hf4gfiN+Jv4q/i7+Mz43vjw+QL5E/kj+TL5QPlL+VT5XPlh+WT5Zflk+WH5XflZ+VP5TflI+UP5P/k8+Tv5PflA+Ub5TvlZ+Wf5d/mJ+Z75tfnN+ef6Afoc+jf6U/pt+of6oPq4+s764vr0+wX7E/sg+yv7NPs8+0L7SPtM+1D7U/tW+1n7XPtg+2T7aPtt+3P7efuA+4f7jvuW+577pvuu+7b7vvvF+8v70fvX+9v73/vi++X75/vo++n76vvq++r76/vr++v77Pvs++377/vw+/L79Pv3+/n7/Pv+/AD8AvwE/Ab8B/wI/Aj8B/wG/AX8A/wA+/37+vv3+/P77/vr++j75Pvg+9372/vY+9b71fvU+9T71PvW+6D7ofuj+6b7qfut+7L7t/u9+8P7yfvP+9b73Pvj++n77/v1+/r7/vwD/Ab8CfwM/A78D/wQ/BH8EfwR/BD8EPwP/A/8D/wP/A/8EPwS/BT8F/wb/B/8JPwq/DD8N/w//Ef8T/xY/GD8afxy/Hr8gvyK/JL8mPyf/KT8qvyu/LL8tvy5/Lz8v/zC/MX8yPzL/M/80/zY/N785fzu/Pf9Av0O/Rv9Kv06/Uv9Xv1y/Yf9nv21/c795/4B/hz+N/5S/m7+if6l/sD+2/72/xD/Kf9B/1n/b/+F/5n/rP++/87/3f/r//cAAwANABYAHQAkACkALgAxADQANgA4ADgAOAA4ADcANgA0ADIALwAsACkAJQAgABwAFgAQAAoAA//7//P/6//i/9n/0P/G/7z/sv+o/5//lf+M/4L/ef9x/2n/Yf9a/1P/Tf9H/0H/PP83/zL/Lf8p/yT/IP8b/xb/Ev8N/wn/BP8A/vz++P70/vH+7v7r/un+6P7n/uf+6P7p/ur+7f7w/vP+9/77/v//BP8J/w7/E/8Y/x3/I/8o/y7/M/85/z//Rf9M/1P/W/9j/2z/df9+/4n/k/+e/6n/tf/B/8z/1//i/+z/9v//AAcADgATABgAGwAdAB0AHAAaABcAEwAOAAkAA//8//b/7//p/+P/3f/Y/9T/0P/O/83/zP/N/8//0f/V/9n/3v/k/+v/8v/5AAAACAAQABgAIAAoAC8ANwA+AEUASwBRAFcAXQBiAGYAagBtAHAAcgB0AHQAdABzAHEAbgBpAGQAXgBXAE4ARQA6AC8AIwAWAAn/+//s/97/z//A/7H/o/+V/4f/ev9u/2H/Vv9L/0D/Nv8s/yP/Gf8Q/wf+/f70/ur+3/7U/sj+vP6w/qL+lP6F/nb+Zv5V/kT+M/4h/g/9/P3q/df9xP2x/Z79jP15/Wb9U/1A/S39G/0I/PX84vzP/Lz8qPyV/IH8bfxZ/ET8MPwb/Ab78Pvb+8T7rvuX+4D7aftR+zn7IfsJ+vD61/q++qX6jPpz+lr6Qfoo+hD5+Png+cr5s/md+Yj5c/lf+Uv5OPkm+RT5A/jx+OH40PjA+LD4oPiP+H/4b/hf+E74Pvgt+Bz4Cvf59+j31vfF97T3oveR93/3bvdc90v3Ovco9xf3Bvb09uP20fa/9q32m/aJ9nb2ZPZR9j32KvYX9gP18PXc9cj1tfWh9Y31evVm9VL1P/Ur9Rf1A/Tv9Nv0x/Sy9J70ifR09F/0SvQ19CD0C/P28+LzzfO686bzk/OA827zXfNM8zvzK/Mb8wvy+/Lr8tvyy/K58qfylPKA8mvyVPI88iPyCPHt8dDxsvGU8XXxVvE38Rjw+vDe8MPwqfCS8H3wavBb8E7wQ/A88DfwNfA18DfwOvA/8EXwS/BR8FjwXfBh8GPwY/Bi8F7wWPBP8ETwN/Ao8BbwBO/v79rvxe+v75rvhe9x71/vT+9A7zPvKe8h7xzvGO8X7xjvGu8e7yPvKe8v7zbvPe9D70nvTu9R71XvV+9X71fvVu9U71HvTu9K70fvQ+9A7zzvOu847zfvN+847znvPO8/70PvR+9M71LvWO9e72Pvau9w73bvfO+C74jvju+U75vvou+p77Hvuu/D783v1+/i7+7v+vAG8BPwH/Ar8DbwQPBJ8FDwVvBa8FzwW/BY8FLwSvBA8DPwJPAT8ADv6+/V777vpu+O73XvXe9F7y3vFu8A7uvu1+7E7rLuou6T7oTud+5r7l/uVO5K7kHuN+4v7ifuH+4X7hDuCe4D7f3t9+3y7e7t6u3m7ePt4e3f7d3t3O3b7drt2e3Y7djt1+3V7dTt0u3P7cztyO3E7cDtu+227bDtq+2l7Z/tmu2U7Y/tiu2G7YLtf+187XrteO137Xftd+137XfteO157Xrte+187X3tfe1+7X7tfe187Xvteu147XXtc+1w7Wztae1l7WDtXO1X7VPtTu1J7UTtP+067TXtMO0s7SftI+0f7RvtGO0V7RLtD+0N7QvtCe0H7QbtBe0F7QTtBO0E7QTtBO0E7QXtBe0G7QbtB+0I7QjtCe0K7QvtDO0N7Q/tEO0S7RTtFu0Y7RrtHO0f7SHtI+0l7SjtKe0r7S3tLu0u7S/tL+0v7S7tLe0s7SvtKu0o7SftJe0k7SPtI+0j7SPtJO0m7SntLe0x7TbtPO1D7UrtUu1b7WXtb+167YTtj+2b7abtse287cbt0O3a7eTt7O317fzuBO4K7hDuFe4b7h/uI+4n7ivuL+4y7jbuOe497kDuRO5J7k3uUu5X7lzuYu5o7m7udO577oLuie6Q7pfunu6l7qzus+667sDux+7N7tTu2u7g7ubu7O7x7vfu/e8D7wjvDu8U7xrvIe8n7y3vM+8670DvR+9N71PvWe9f72Tvae9u73Pvd+97737vge+D74Xvh++J74rvi++M747vju+Q75Hvku+U75fvme+c76Dvpe+p76/vte+878TvzO/V79/v6e/08ADwDfAa8CfwNvBE8FPwY/Bz8IPwlPCl8Lbwx/DX8Ojw+fEJ8RnxKPE38UbxU/Fg8W3xefGE8Y/xmfGi8avxtPG88cTxzfHU8d3x5fHt8fbx//II8hLyHfIn8jPyPvJK8lbyYvJv8nvyiPKV8qHyrvK68sby0vLe8uny9fMA8wzzF/Mj8y/zO/NI81XzY/Nx83/zjvOe867zvvPP8+Dz8fQC9BL0I/Qy9EH0T/Rd9Gn0c/R99IX0jPSR9JX0mPSZ9Jn0mPSW9JP0kPSM9Ij0g/R/9Hv0d/Rz9HD0bfRr9Gr0afRp9Gr0bPRu9HH0dPR39Hv0f/SD9Ij0jPSR9JX0mvSe9KL0pvSq9K70sfS19Lj0u/S+9MD0w/TF9Mb0x/TI9Mj0x/TG9MT0wfS99Lj0s/St9Kb0nvSV9I30hPR69HH0aPRf9Ff0T/RJ9EP0P/Q89Dr0OvQ79D70QvRH9E30VfRd9Gb0b/R59IP0jPSV9J70pvSt9LP0uPS89L/0wfTC9MP0w/TC9MH0v/S+9Lz0u/S69Ln0ufS69Lv0vfS/9MP0xvTK9M/01PTZ9N705PTp9O/09fT69P/1BfUK9RD1FfUb9SH1KPUv9Tb1PvVH9VD1WvVl9XD1fPWI9ZX1o/Ww9b71y/XZ9eb18vX+9gj2EvYb9iP2KfYu9jL2NfY39jf2N/Y19jP2MPYt9in2JfYh9h32GvYX9hT2EvYR9hH2EfYT9hX2GfYd9iP2KvYy9jv2RfZR9l32a/Z59oj2mPap9rv2zfbf9vH3BPcW9yj3OfdK91n3Z/dz9373h/eN95L3lPeT95H3i/eE93v3b/di91T3Rfc19yb3FvcI9vr27vbl9t322fbX9tn23fbm9vH2//cR9yX3PPdV92/3i/eo98T34ff9+Bj4MfhJ+F/4c/iF+JT4ofit+LX4vfjC+Mf4yvjN+M/40fjU+Nf42vje+OP46fjw+Pf4//kI+RD5Gfki+Sr5Mvk5+T75QvlF+Ub5RvlF+UH5Pfk3+TH5Kfki+Rr5E/kN+Qf5A/kB+QH5A/kI+Q/5Gfkl+TX5R/lb+XL5i/ml+cH53vn8+hr6OPpW+nP6j/qq+sP62/rx+wX7F/sn+zb7QvtN+1b7Xftk+2n7bvty+3X7ePt7+3/7gvuG+4r7jvuT+5n7nvuk+6v7sfu4+7/7xfvM+9L72Pvd++L75vvq++378Pvy+/T79fv1+/b79vv2+/b79fv1+/T79Pv0+/P78/vz+/P78/vz+/P78/vy+/L78fvw++777Pvq++f75Pvh+9372fvU+8/7y/vG+8H7vPu3+7L7rvuq+6f7pPui+6D7oPuf+2r7avtr+2z7b/ty+3b7evt/+4X7i/uR+5f7nvuk+6r7sfu2+7v7wPvF+8j7y/vO+9D70vvT+9P71PvU+9T71PvU+9X71fvX+9j72/ve++L75vvs+/L7+PwA/Aj8EPwZ/CH8Kvwz/Dv8RPxL/FP8Wfxe/GP8Z/xq/Gz8bvxu/G78bfxs/Gv8afxo/Gf8Zvxm/Gf8afxs/HD8dvx9/Ib8kfye/Kz8vPzO/OH89v0M/ST9Pf1X/XL9jf2q/cb94/4A/h3+Of5W/nH+jf6n/sH+2v7y/wn/H/80/0f/Wv9s/3z/jP+a/6j/tP+//8r/0//c/+P/6v/w//X/+f/9AAAAAgADAAQABAAEAAMAAf////z/+P/0/+//6v/k/97/1//Q/8j/wP+4/6//pv+d/5P/iv+A/3b/bf9j/1n/UP9G/z3/M/8q/yH/GP8P/wf+/v71/u3+5P7c/tT+zP7E/r3+tf6u/qf+of6b/pX+kf6M/oj+hf6D/oH+gP5//oD+gP6C/oT+hv6J/oz+kP6T/pf+m/6f/qT+qP6t/rH+tv66/r/+xf7K/tD+1v7d/uT+6/70/vz/Bv8Q/xr/Jf8w/zz/R/9T/1//av91/3//if+S/5r/of+n/6v/r/+x/7H/sf+w/63/qv+l/6H/m/+V/4//iv+E/3//ev92/3L/b/9u/23/bf9u/3D/c/93/3z/gv+I/47/lv+d/6X/rf+1/73/xf/N/9T/3P/j/+n/7//1//r//wADAAYACQALAAwADQANAAwACQAGAAP//v/4//H/6f/g/9b/y//A/7P/pv+Z/4v/fP9u/1//Uf9D/zX/J/8a/w7/Av72/uz+4v7Y/tD+x/7A/rj+sf6p/qL+mv6T/or+gf54/m3+Yv5W/kn+O/4s/hz+C/36/ef91f3B/a39mf2E/XD9W/1G/TL9Hv0K/Pf85PzR/L/8rvyc/Iz8e/xr/Fv8S/w7/Cv8G/wL+/r76fvX+8X7svuf+4v7dvth+0v7NPsc+wT67PrT+rn6n/qF+mv6Ufo3+h36A/nq+dH5uPmh+Yn5c/ld+Uj5M/kg+Qz4+vjo+Nb4xfi0+KT4lPiD+HP4ZPhU+ET4NPgk+BT4BPfz9+P30vfC97H3oPeQ93/3b/de9073Pvcu9x33Dfb99u323fbO9r72rvad9o32ffZs9lv2SvY59ij2FvYE9fL14PXO9bz1qfWW9YT1cfVe9Ur1N/Uk9RH0/fTq9Nb0wvSu9Jv0hvRy9F/0S/Q39CP0D/P88+nz1vPD87HzoPOO833zbPNc80zzO/Mr8xvzC/L78ury2fLH8rTyoPKL8nbyX/JH8i7yFPH58d3xwfGk8YfxavFN8THxFfD78OLwyvC18KHwkPCB8HTwavBi8F3wWvBY8FnwW/Be8GLwZ/Bs8HDwdfB48HvwfPB78HnwdfBv8GjwXvBT8EbwOPAp8BnwCO/47+fv1+/H77jvq++f75Tvi++E73/ve+9573jvee97737vgu+H74vvkO+V75rvnu+i76XvqO+p76vvq++r76rvqe+o76bvpe+j76Lvou+i76Lvo++l76jvq++w77Xvu+/B78jv0O/Y7+Dv6e/x7/rwA/AM8BXwH/Ao8DHwOvBD8EzwVfBe8GfwcPB58IHwifCR8Jjwn/Cl8KrwrvCx8LLwsvCx8K7wqfCj8JvwkfCG8Hnwa/Bb8ErwOPAl8BLv/e/p79Tvv++q75bvgu9u71vvSe847yfvF+8H7vnu6+7e7tHuxu667rDupe6c7pLuiu6B7nnucu5r7mTuX+5Z7lTuT+5L7kfuRO5B7j7uO+457jfuNO4y7jDuLu4r7ijuJe4h7h7uGe4V7hDuC+4F7gDt+u307e7t6O3i7dzt1+3S7c3tye3F7cLtvu287brtuO227bXttO2z7bPts+2y7bLtsu2x7bHtse2w7a/tru2t7avtqu2o7abtpO2h7Z/tnO2Z7Zbtk+2P7Yztie2F7YLtfu177XftdO1x7W3tau1n7WTtYu1f7V3tWu1Y7VbtVe1T7VLtUe1P7U/tTu1N7UztTO1M7UztS+1L7UvtS+1M7UztTO1N7U3tTu1P7VDtUe1S7VPtVO1V7VbtV+1Y7VjtWe1Z7VntWe1Z7VntWO1X7VbtVO1T7VHtT+1N7UvtSe1H7UbtRO1D7UPtQ+1E7UXtR+1K7U7tUu1Y7V7tZe1t7XbtgO2K7ZXtoO2s7bjtxe3S7d7t6+337gPuDu4Z7iTuLu437kDuR+5O7lXuWu5f7mPuZ+5q7m3ub+5y7nTudu547nrufe5/7oPuhu6L7o/ule6b7qHuqO6w7rjuwe7K7tPu3O7m7vDu+u8D7w3vFu8f7yjvMO8470DvR+9O71TvWe9f72PvaO9s72/vc+9273jve+9973/vge+D74Xvhu+I74nviu+L743vju+O74/vkO+R75Lvku+T75Tvle+V75fvmO+Z75vvnO+f76HvpO+o76zvse+277zvw+/K79Lv2+/l7+/v+vAG8BPwIPAu8DzwS/Bb8GrwevCL8Jvwq/C88Mzw3PDr8PrxCfEX8SXxMvE+8UvxVvFh8WzxdvGA8Ynxk/Gc8abxr/G58cPxzfHY8ePx7/H78gjyFfIi8jDyPvJN8lzya/J68onymPKn8rXyxPLS8uDy7vL88wnzFvMj8zDzPfNL81jzZvN084LzkfOh87DzwfPR8+Lz8/QF9Bb0J/Q49En0WfRp9Hj0hfSS9J30p/Sv9Lb0vPS/9ML0wvTC9L/0vPS49LP0rfSm9J/0mPSQ9In0gfR69HT0bvRp9GT0YPRd9Fv0WfRY9Ff0V/RY9Fn0W/Rd9F/0YvRk9Gj0a/Ru9HH0dfR49Hz0f/SD9If0ivSN9JH0lPSW9Jn0m/Sc9J30nfSd9Jv0mfSW9JL0jfSH9IH0efRx9Gn0X/RW9E30Q/Q69DH0KfQi9Bz0F/QU9BH0EPQR9BP0F/Qc9CL0KvQz9Dz0R/RR9Fz0Z/Ry9H30h/SQ9Jn0oPSn9Kz0sPS09Lb0t/S39Lf0tvS09LL0sPSu9Kz0qvSp9Kj0p/Sn9Kj0qfSs9K70svS19Lr0v/TE9Mr00PTW9N305PTr9PL0+fUB9Qj1EPUY9SH1KfUz9Tz1RvVQ9Vr1ZfVx9Xz1iPWU9aD1rPW49cP1z/Xa9eT17vX49gD2CPYP9hT2GfYd9iD2I/Yk9iX2JfYk9iP2IvYg9h/2HfYc9hz2HPYc9h72IfYk9in2L/Y29j/2SvZV9mP2cfaB9pP2pva69s/25Pb79xL3KfdA91f3bfeC95f3qve798v32ffk9+338/f39/j39vfx9+r34PfU98b3t/el95P3gfdu91v3Sfc59yr3HfcS9wr3BPcC9wP3CPcP9xv3Kfc69073ZPd895b3sffN9+r4Bvgi+D74WPhx+In4nviy+MT41Pji+O74+PkB+Qj5DvkT+Rj5G/kf+SL5Jfkp+Sz5MPkz+Tf5O/lA+UP5R/lK+U35TvlP+U/5TvlM+Uj5Q/k++Tf5L/kn+R75FfkM+QP4+/j0+O746vjo+Oj46vjv+Pb5APkN+R35L/lD+Vr5c/mO+ar5yPnm+gX6JPpD+mL6gPqc+rj60frp+v/7FPsm+zb7RPtQ+1v7Y/tr+3D7dft5+3z7fvuA+4L7g/uF+4f7ifuL+477kfuV+5n7nfuh+6b7q/uw+7X7uvu/+8P7x/vL+8770PvT+9T71vvW+9f71/vW+9X71PvT+9L70PvP+837zPvK+8n7x/vG+8X7w/vC+8H7wPu++7z7uvu4+7b7s/uw+637qful+6H7nfuY+5P7jvuJ+4T7gPt7+3f7c/tw+277bPtq+z37O/s6+zr7Ovs7+z37QPtD+0b7S/tP+1T7Wftf+2T7avtv+3T7eft9+4L7hvuJ+4z7j/uS+5T7lvuY+5r7nPue+6H7pPun+6v7r/u0+7r7wPvH+8771fvd++b77vv3+//8CPwQ/Bf8Hvwk/Cr8Lvwy/DT8Nvw2/Db8Nfwz/DD8Lfwp/Cb8Ivwf/Bz8GvwY/Bj8Gfwb/B/8JPws/DX8QPxN/Fz8bPx//JP8qfzA/Nj88v0M/Sj9Q/1g/Xz9mf21/dH97f4J/iT+Pv5X/m/+h/6d/rP+x/7b/u7+//8Q/yD/L/89/0r/Vv9i/23/dv+A/4j/j/+W/5z/ov+m/6r/rf+w/7H/s/+z/7L/sf+w/63/qv+n/6P/nv+a/5T/jv+I/4L/e/90/2z/Zf9d/1X/Tf9E/zz/NP8r/yL/Gf8Q/wf+/v71/uv+4f7Y/s7+xP66/rD+pv6d/pP+iv6B/nj+b/5n/mD+Wf5T/k3+SP5E/kH+Pv48/jv+Ov46/jv+Pf4//kH+RP5H/kr+Tv5R/lX+Wf5d/mH+Zf5p/m3+cf51/nn+fv6C/of+jf6S/pj+n/6m/q3+tf6+/sf+0P7Z/uP+7P72/wD/Cf8S/xr/Iv8q/zD/Nf86/z7/QP9C/0P/Qv9B/z//Pf85/zb/Mv8u/yr/Jv8i/x7/G/8Z/xf/F/8X/xf/Gf8b/x//I/8n/y3/Mv85/0D/Rv9O/1X/XP9j/2r/cP92/3z/gv+G/4v/jv+R/5P/lf+W/5b/lv+V/5P/kP+N/4n/hP9//3j/cf9p/2H/V/9N/0P/N/8s/x//E/8G/vj+6/7e/tD+w/62/qn+nP6Q/oX+ev5v/mX+W/5S/kr+Qf45/jL+Kv4i/hv+E/4K/gL9+P3v/eT92f3N/cH9s/2l/Zb9hv11/WT9U/1B/S79G/0J/Pb84/zQ/L78rPya/In8ePxo/Fj8SPw5/Cr8HPwO/AD78vvk+9b7yPu6+6v7nPuM+3z7avtZ+0b7M/sf+wr69frf+sj6sfqa+oL6afpR+jn6IPoI+fD52PnA+an5kvl8+Wb5Ufk8+Sj5FPkB+O/43fjL+Lr4qfiZ+Ij4ePho+Fj4SPg4+Cn4GfgJ9/n36vfa98r3uver95v3i/d892z3XfdN9z73L/cg9xD3Afby9uP20/bE9rT2pfaV9oX2dPZk9lP2QvYx9iD2DvX89er12PXF9bP1oPWN9Xv1aPVV9UL1L/Uc9Qj09fTi9M/0vPSp9Jb0g/Rw9F70S/Q49Cb0FPQC8/Dz3/PO873zrfOd843zfvNu81/zUPNB8zLzI/MU8wTy9PLj8tLywPKt8pnyhfJv8lnyQvIq8hHx+PHf8cXxq/GR8XjxX/FH8S/xGfEF8PLw4PDQ8MPwt/Ct8KXwnvCa8JfwlvCV8JbwmPCa8Jzwn/Ch8KPwpPCk8KPwofCe8Jnwk/CM8IPwevBv8GPwV/BK8D3wMPAj8BbwCu/+7/Pv6e/g79nv0u/N78jvxe/D78Lvwu/D78Xvx+/K783v0O/T79fv2u/e7+Hv5O/n7+rv7O/v7/Hv8+/17/fv+e/77/7wAPAD8AbwCfAM8BDwFPAY8B3wIvAn8C3wM/A68EHwSPBQ8FnwYfBr8HTwf/CJ8JTwn/Cr8LfwwvDO8Nrw5vDx8PzxBvEQ8RjxIPEm8SvxLvEw8TDxL/Es8SfxIPEY8Q7xAvD18Ofw2PDH8LbwpPCS8H/wbfBa8EjwNfAj8BLwAe/x7+Lv0+/F77jvq++g75Tvie9/73Xva+9i71nvUO9H7z7vNe8s7yPvGu8R7wju/+727u3u5e7c7tPuyu7C7rnuse6p7qHumu6S7ovuhe5+7njucu5s7mfuYu5d7ljuU+5P7kvuR+5D7j/uO+447jTuMe4u7iruJ+4k7iDuHe4a7hfuFO4Q7g3uCu4H7gTuAO397frt9+307fHt7u3r7ent5u3j7eHt3u3c7dnt1+3V7dLt0O3O7cvtye3G7cPtwe2+7bvtue227bPtse2u7aztqu2o7abtpO2i7aHtoO2f7Z7tne2d7Z3tnO2d7Z3tne2d7Z7tnu2e7Z/tn+2f7Z/tn+2f7Z/tn+2f7Z7tnu2d7Z3tnO2c7Zvtm+2a7Zrtmu2Z7Zntme2Y7ZjtmO2X7Zftl+2W7Zbtle2V7ZTtk+2T7ZLtke2R7ZHtke2R7ZHtk+2U7ZbtmO2c7aDtpO2q7bDtt+2/7cjt0e3b7ebt8e397gnuFu4i7i/uO+5I7lTuYO5r7nXuf+6I7pDumO6e7qTuqO6s7rDusu607rbut+647rjuue667rvuvO6+7sDuw+7H7svu0O7W7tzu5O7s7vTu/e8G7xDvGu8k7y7vOO9B70vvVO9c72XvbO9z73nvfu+D74jvi++O75Hvk++V75bvl++Y75nvme+a75vvm++c753vn++g76Hvo++l76fvqe+r767vsO+y77Xvt++577zvvu/B78Pvxu/J78vvzu/S79bv2e/e7+Pv6O/u7/Xv/PAE8AzwFvAg8CrwNvBB8E7wW/Bo8HbwhPCT8KHwr/C+8Mzw2vDo8PXxAvEP8RvxJ/Ey8T3xR/FR8VvxZfFv8XnxgvGM8ZfxofGs8bjxxPHQ8d3x6/H58gjyGPIo8jjySfJa8mzyffKP8qHysvLE8tXy5fL28wbzFvMl8zTzQ/NS82DzbvN884rzmPOm87TzwvPR89/z7vP89Av0GvQo9Df0RfRT9GH0bfR69IX0j/SY9KH0qPSt9LL0tfS39Lf0t/S19LL0rvSq9KT0nvSY9JH0i/SE9H30d/Rx9Gz0Z/Ri9F/0W/RZ9Ff0VvRW9Fb0V/RY9Fr0XPRe9GH0ZPRn9Gr0bvRy9HX0efR99IH0hPSI9Iz0j/ST9Jb0mfSb9J70oPSh9KL0ovSi9KH0n/Sd9Jn0lfSR9Iv0hfR/9Hj0cfRp9GL0WvRT9E30R/RB9D30OvQ39Df0N/Q49Dv0P/RE9Ev0UvRa9GT0bfR39IL0jPSW9KD0qfSy9Lr0wfTH9Mz0z/TS9NT01fTV9NT00/TR9M/0zfTK9Mj0xvTF9MT0xPTE9Mb0yPTM9ND01fTb9OL06vTy9Pv1BfUP9Rn1I/Ut9Tf1QfVL9VX1XvVn9W/1d/V/9Yb1jfWU9Zr1oPWm9av1sPW29bv1wPXF9cn1zvXT9dj13fXi9ef17PXx9fX1+vX/9gT2CPYN9hL2F/Yb9iD2JfYr9jD2NvY89kP2SvZR9ln2YvZs9nb2gfaN9pr2qPa39sb21vbo9vn3DPcf9zL3Rvda9233gfeU96b3t/fI99f35Pfw9/v4A/gJ+A74EPgP+A34CfgC9/r38Pfl99j3y/e89673n/eR94P3dvdr92H3WfdT90/3TvdP91P3Wvdi9273e/eL9533sPfF99v38vgJ+CD4N/hO+GT4efiO+KH4svjD+NL43/jr+Pb5APkI+Q/5Fvkc+SH5Jvkq+S/5M/k3+Tv5P/lD+Ub5SvlN+VD5UvlU+VT5VPlU+VL5T/lL+Ub5QPk5+TH5KPkf+Rb5DfkD+Pv48/js+Ob44vjf+N/44Pjk+Or48/j++Qz5HPku+UL5Wflw+Yr5pPm/+dv59/oT+i/6Svpk+n36lfqr+r/60vrj+vL6//sL+xX7Hfsk+yr7L/sy+zX7N/s5+zv7Pfs++0D7Q/tF+0j7S/tP+1T7Wfte+2P7aPtu+3T7eft/+4T7ifuN+5H7lPuX+5n7mvub+5z7m/ub+5r7mPuW+5T7kvuQ+477jPuJ+4j7hvuE+4P7gvuB+4D7gPt/+3/7fvt++337fPt7+3r7ePt2+3P7cftu+2r7Zvti+177WvtV+1H7TftJ+0X7Qvs/+w77C/sI+wb7BPsD+wP7A/sE+wb7CPsL+w77EvsW+xv7H/sk+yn7Lvsz+zj7PftC+0b7S/tP+1P7V/tb+2D7ZPto+237cvt3+3z7gvuI+4/7lvud+6X7rPu0+7z7xPvL+9P72fvg++b76/vv+/P79fv3+/j7+Pv2+/T78vvu++r75vvh+9z72PvU+9D7zfvL+8r7y/vN+9D71fvc++X78Pv8/Ar8G/wt/ED8Vfxs/IT8nfy3/NH87P0I/ST9QP1c/Xf9kv2t/cf94P34/hD+Jv48/lD+ZP53/oj+mf6p/rj+xv7T/t/+6/72/wD/Cf8S/xn/If8o/y3/M/83/zz/P/9C/0T/Rv9H/0f/R/9G/0X/Q/9B/z7/O/83/zP/L/8q/yX/H/8Z/xP/Df8G/v/++P7w/uj+4P7Y/s/+xv69/rT+qv6g/pb+jP6C/nj+bf5j/ln+T/5F/jv+Mv4p/iD+GP4R/gr+BP3//fr99v3z/fH98P3v/e/97/3x/fL99f34/fv9/v4C/gb+Cv4O/hL+Fv4a/h7+Iv4m/ir+Lv4y/jb+O/4//kP+SP5N/lL+V/5d/mP+af5v/nb+fP6D/or+kP6X/p3+o/6p/q7+sv62/rn+vP6+/r/+v/6//r7+vP66/rj+tf6y/rD+rf6q/qj+pv6l/qT+pP6l/qb+qf6s/rD+tf67/sH+yP7P/tj+4P7o/vH++f8B/wn/Ef8X/x7/I/8o/yv/Lv8w/zH/Mf8w/y3/Kv8m/yH/G/8U/w3/BP77/vL+6P7d/tL+xv66/q7+of6V/oj+e/5t/mD+U/5G/jn+LP4f/hL+Bv36/e794/3X/c39wv24/a79pf2b/ZL9iv2B/Xj9cP1n/V79Vf1M/UP9Of0v/ST9Gv0O/QL89vzq/N38z/zB/LP8pfyW/Ij8efxq/Fv8Tfw+/DD8IfwT/AX7+Pvr+9370PvE+7f7qvud+5H7hPt3+2r7XPtP+0H7Mvsj+xP7A/rz+uL60Pq++qz6mfqG+nL6XvpK+jb6IfoN+fj55PnP+bv5p/mU+YD5bfla+Uf5Nfkj+RH4//ju+N34zPi7+Kv4mviK+Hr4avha+Er4Ovgq+Bv4C/f89+z33ffO97/3sPeh95L3hPd192f3WPdK9zz3Lfcf9xD3Afbz9uP21PbF9rX2pfaV9oT2c/Zi9lD2PvYs9hr2B/X09eH1zvW79aj1lPWB9W31WvVH9TP1IPUN9Pr05/TU9MH0rvSc9Ir0d/Rl9FP0QfQv9B30DPP78+rz2fPJ87nzqfOZ84rze/Ns813zT/NB8zPzJPMW8wjy+fLr8tvyzPK88qvymvKJ8nfyZPJQ8jzyKPIT8f7x6fHU8b/xqvGV8YHxbvFb8UrxOfEq8RzxEPEF8Pvw8/Ds8Obw4vDf8N3w2/Db8Nrw2/Db8Nvw3PDb8Nrw2fDX8NTw0PDL8MXwvvC28K3wo/CZ8I7wgvB28GvwX/BT8EfwPPAy8CjwH/AX8BDwCvAG8ALv/+/+7/3v/u//8ALwBfAJ8A3wEvAX8BzwIvAn8CzwMfA28DvwP/BC8EXwSPBK8EvwTPBN8E3wTfBM8EvwS/BK8EnwSfBJ8ErwTPBO8FHwVvBb8GLwavBz8H7wivCY8Kfwt/DI8Nvw7vEC8RbxKvE/8VPxZ/F68YzxnfGs8brxxvHQ8djx3vHi8ePx4vHf8drx0/HK8b/xsvGk8ZXxhfF18WTxUvFB8TDxH/EO8P7w7/Dh8NPwxvC68K7wpPCa8JDwh/B+8HXwbPBj8FrwUfBG8DzwMfAl8BjwC+/97+7v3+/O777vre+c74vvee9o71fvRu827ybvF+8I7vvu7u7j7tjuzu7F7r7ut+6x7qvup+6j7p/une6a7pjulu6U7pHuj+6N7ovuiO6F7oLufu567nbucu5t7mjuY+5e7lnuVO5P7kruRe5A7jzuOO407jDuLO4p7iXuIu4f7hzuGu4X7hTuEe4O7gzuCe4F7gLt/+377fjt9O3x7e3t6u3m7ePt4O3d7drt2O3X7dXt1O3T7dPt1O3U7dXt1+3Y7drt3O3e7eHt4+3l7ejt6u3r7e3t7u3v7fDt8e3x7fHt8e3w7e/t7+3u7e3t7O3r7ert6e3p7ejt6O3o7ejt6e3p7ert6+3r7ezt7e3u7e/t8O3x7fHt8u3y7fPt8+3z7fPt9O307fXt9u337fjt+u397gDuBO4I7g3uE+4a7iLuKu4z7jzuRu5R7lzuZ+5z7n7uie6V7p/uqu607r3uxu7O7tXu2+7g7uXu6O7r7u7u7+7x7vHu8u7y7vLu8u7z7vPu9e727vju++7+7wLvBu8L7xHvF+8d7yTvLO8z7zvvQ+9K71LvWe9g72fvbu9z73nvfu+C74bvie+M74/vke+U75Xvl++Z75vvne+f76HvpO+n76rvre+x77Xvuu++78PvyO/O79Pv2O/e7+Pv6O/t7/Lv9+/78ADwBPAI8AzwEPAU8BjwHPAg8CXwKvAv8DTwOvBB8EjwUPBY8GHwa/B18H/wivCW8KLwrvC68Mfw0/Dg8Ozw+PEE8RDxG/Em8TDxOvFE8U3xVvFf8WfxcPF48YDxiPGR8ZnxovGs8bbxwfHM8djx5fHy8gDyD/Ie8i7yP/JQ8mLydPKH8pnyrPK/8tLy5fL48wvzHfMv80HzU/Nk83XzhvOW86bztvPG89Xz5PPy9AD0DvQb9Cj0NfRA9Ez0V/Rh9Gr0cvR69IH0h/SM9JD0k/SU9JX0lvSV9JP0kfSO9Iv0h/SC9H70efR19HD0bPRo9GT0YfRf9F30W/Rb9Fv0W/Rc9F70YPRj9Gb0avRu9HL0dvR79ID0hPSJ9I30kfSV9Jr0nfSh9KT0qPSr9K30sPSy9LT0tfS39Lj0uPS49Lj0uPS29LX0s/Sx9K70q/So9KT0oPSc9Jf0k/SP9Iv0h/SE9IH0f/R99Hz0fPR99ID0g/SH9Iz0kvSY9KD0qPSx9Lv0xPTO9Nj04vTs9PX0/fUF9Qz1EvUX9Rz1H/Uh9SP1JPUk9SP1IvUg9R/1HfUb9Rr1GfUZ9Rn1GvUd9SD1JPUp9TD1N/VA9Un1U/Ve9Wr1dvWC9Y71mvWm9bL1vfXH9dH12vXh9ej17vXy9fX1+PX59fn1+PX39fT18fXu9ev15/Xk9eD13fXb9dn12PXX9dj12fXc9eD15PXr9fL1+vYE9g/2GvYn9jT2Q/ZS9mL2cvaD9pT2pva49sr22/bt9v/3Efci9zP3RPdV92X3dPeD95L3oPet97n3xffQ99v35Pft9/T3+/gA+AX4CfgM+A34DvgN+Av4CfgG+AH3/Pf39/D36vfj99z31ffP98j3w/e997n3tve097P3s/e197j3vPfC98n30ffb9+b38vf++Az4Gvgo+Df4RfhU+GL4cPh++Iv4l/ij+K74ufjC+Mv41Pjb+OL46fjw+Pb4/PkB+Qf5DfkS+Rj5Hvkj+Sn5L/k0+Tn5PvlC+UX5SPlK+Uv5TPlL+Un5RvlC+T35N/kw+Sj5IPkX+Q75Bfj8+PT47Pjl+N/42vjX+Nb41vjY+Nz44vjq+PT5APkO+R35LvlA+VP5Z/l8+ZH5pvm7+dD55Pn4+gv6Hfot+jz6S/pX+mP6bfp2+n76hfqL+pD6lfqZ+p36ofqk+qj6rfqx+rb6vPrC+sn60PrY+uD66fry+vv7BPsN+xb7H/sn+y/7N/s9+0P7SftN+1D7U/tV+1b7VvtW+1X7VPtS+1D7TvtM+0n7R/tF+0P7QvtA+0D7P/s/+z/7P/tA+0H7QftC+0P7RPtF+0X7RftF+0T7QvtB+z77PPs4+zX7Mfst+yj7JPsf+xv7FvsS+tz62PrU+tH6zvrM+sv6yvrK+sv6zfrP+tL61frZ+t364vrn+uz68vr3+v37A/sI+w77E/sZ+x77I/sp+y77M/s4+z77Q/tJ+077VPta+2D7Z/tt+3T7evuB+4f7jfuU+5n7n/uk+6j7rPuv+7H7s/u0+7T7s/ux+6/7rPup+6X7ofuc+5j7k/uP+4z7ifuH+4b7hvuI+4v7j/uV+537pvux+777zfvd++/8A/wY/C78Rfxe/Hf8kfyr/Mb84fz7/Rb9MP1K/WT9ff2U/az9wv3X/ez9//4R/iL+M/5C/lD+Xv5q/nb+gf6L/pT+nf6l/qz+s/65/r7+xP7I/sz+0P7T/tb+2P7a/tv+3P7c/tz+3P7b/tr+2P7W/tP+z/7M/sf+w/69/rj+sf6r/qT+nP6U/ov+gv55/m/+Zf5a/lD+Rf46/i7+I/4Y/g3+Af32/ez94f3Y/c79xf29/bX9rv2o/aP9nv2a/Zf9lP2T/ZL9kv2S/ZP9lf2X/Zr9nf2g/aT9qP2s/bD9tP24/bz9wP3E/cj9zP3Q/dT92P3c/eD95f3p/e398f32/fr9//4E/gn+Dv4T/hf+HP4h/iX+Kf4t/jD+M/41/jf+OP44/jj+N/42/jT+Mf4u/iv+KP4k/iD+Hf4a/hf+FP4S/hH+EP4R/hL+Ff4Y/h3+I/4q/jH+Ov5E/k7+Wf5k/nD+fP6H/pP+nv6p/rP+vP7E/sv+0P7V/tj+2f7Z/tf+1P7P/sn+wv65/q/+o/6X/or+e/5s/l3+Tf49/iz+G/4K/fr96f3Z/cj9uf2p/Zr9jP19/XD9Y/1W/Un9Pv0y/Sf9HP0S/Qj8/vz0/Ov84vzZ/M/8xvy9/LT8q/yi/Jj8j/yF/Hz8cvxo/F38U/xJ/D78M/wo/B78E/wI+/378vvn+9z70fvG+7v7sPul+5r7kPuF+3r7b/tk+1r7TvtD+zj7LPsh+xX7CPr8+u/64vrU+sf6uPqq+pv6jfp9+m76XvpP+j/6L/of+g75/vnu+d75zvm++a75nvmO+X/5b/lg+VD5Qfkx+SL5EvkD+PP45PjU+MX4tfil+JX4hfh2+Gb4VvhG+Df4J/gY+Aj3+ffq99z3zfe+97D3oveV94f3evds91/3UvdE9zf3Kvcc9w73APby9uP21PbE9rT2pPaT9oL2cPZe9kz2OfYm9hL1//Xr9df1w/Wu9Zr1hvVy9V71SvU29SL1D/T89On01vTD9LD0nvSL9Hn0Z/RV9EP0MvQg9A/z/fPs89vzyvO586nzmPOI83jzaPNZ80nzOvMs8x3zD/MB8vPy5fLX8snyu/Kt8p/ykfKD8nTyZfJX8kfyOPIp8hnyCfH68erx2vHL8bzxrfGf8ZHxhPF38WzxYfFX8U7xRvE+8TjxM/Eu8SrxJ/Ek8SLxIPEe8RzxG/EZ8RfxFfES8Q7xCvEF8QDw+fDz8Ovw4vDZ8NDwxvC78LHwpvCc8JHwh/B98HTwbPBk8F7wWPBT8FDwTfBM8EzwTfBP8FHwVfBa8F/wZPBq8HDwdvB88IHwhvCL8I/wkvCV8Jbwl/CX8JbwlPCR8I7wifCF8IDwe/B38HLwbvBr8GnwaPBo8GrwbvBz8HrwhPCQ8J3wrfC/8NPw6fEA8RnxNPFP8Wvxh/Gk8cDx3PH28hDyKPI/8lTyZvJ28oPyjvKX8pzyn/Kf8p3ymPKR8ojyffJx8mPyVPJF8jXyJPIU8gTx9PHk8dbxyPG68a7xovGY8Y3xhPF78XLxavFi8VnxUPFH8T3xMvEn8RrxDPD+8O3w3PDK8LbwofCM8HXwXvBG8C/wF+//7+fv0O+576Pvju9672jvV+9H7zjvK+8f7xTvC+8D7v3u9+7y7u7u6+7o7uXu4+7h7t/u3O7a7tfu1O7R7s3uyu7F7sHuvO637rHurO6m7qHunO6W7pLuje6I7oTuge597nrud+507nLub+5t7mvuae5m7mTuYe5e7lvuV+5U7k/uS+5G7kDuO+417i/uKe4j7h3uGO4S7g3uCe4F7gLt/+397fvt++377fvt/O3+7gHuBO4H7gvuD+4T7hfuG+4f7iPuJ+4q7i3uL+4y7jPuNO417jbuNu427jbuNe417jTuM+4z7jLuMu4x7jHuMe4x7jLuMu4z7jTuNe427jfuOe467jvuPO497j7uPu4/7j/uQO5A7kHuQe5C7kPuRO5F7kfuSe5M7k/uU+5Y7l3uYu5p7nDueO6A7ojuke6b7qTuru647sLuy+7U7t3u5u7u7vXu/O8C7wfvDO8Q7xPvFu8Y7xrvHO8d7x7vHu8f7yDvIe8i7yPvJe8n7ynvLO8w7zPvN+8870DvRe9L71DvVe9b72DvZu9r73Dvde95737vgu+F74nvjO+P75Lvle+Y75vvnu+h76Tvp++r76/vtO+5777vxO/K79Dv1+/e7+Xv7e/07/zwBPAL8BLwGvAh8CjwLvA08DrwQPBF8ErwT/BT8FjwXPBh8GXwavBu8HPwefB/8IXwjPCT8Jvwo/Cs8LbwwPDK8NXw4PDr8PfxAvEO8RrxJfEw8TvxRvFQ8VnxY/Fr8XPxe/GC8Ynxj/GV8ZvxoPGm8avxsfG38b3xxPHL8dPx2/Hk8e7x+fIF8hHyHvIt8jzyTPJd8m7ygfKU8qfyu/LQ8uXy+vMP8yXzOvNQ82XzevOP86Pzt/PK893z7/QA9BH0IPQv9D30SvRV9GD0afRx9Hj0fvSD9If0ifSL9Iv0i/SK9If0hfSB9H30efR19HD0a/Rn9GL0XvRa9Ff0VfRT9FH0UPRQ9FH0U/RV9Ff0W/Rf9GP0aPRt9HP0ePR+9IT0ivSP9JX0mvSf9KT0qPSs9LD0s/S29Lj0uvS89L30vvS/9MD0wPTA9L/0v/S+9L30vPS69Lj0t/S19LP0sfSv9K30q/Sp9Kf0pvSl9KT0o/Sj9KT0pfSn9Kr0rfSx9Lb0vPTD9Mr00vTb9OX07/T59QT1D/Ua9SX1MPU79UX1T/VY9WH1afVw9Xb1fPWA9YT1h/WK9Yv1jfWO9Y71j/WP9ZD1kfWS9ZT1lvWZ9Z31ovWo9a71tfW99cb1z/XY9eL17fX39gH2C/YV9h72JvYt9jT2OfY99j/2QfZB9j/2PPY49jP2LPYl9h32FPYL9gH1+PXv9eb13vXX9dL1zfXK9cn1yfXM9dD11/Xg9er19/YG9hf2KvY+9lT2bPaE9p72uPbT9u73Cfck9z/3Wfdy94v3ove498334Pfy+AL4EPgc+Cf4MPg3+D34QfhD+ET4RPhC+ED4PPg4+DP4Lvgo+CL4HPgW+BD4CvgF+AD3+/f39/T38vfw9+/37/fw9/L39ff49/34AvgI+A74Ffgd+CX4Lvg3+ED4SfhS+Fv4ZPht+Hb4fviG+I74lfib+KL4p/it+LL4tvi7+L/4w/jH+Mv4z/jT+Nf43Pjh+Ob47Pjx+Pj4/vkF+Qz5E/kb+SL5Kfkv+TX5O/lA+UT5SPlK+Uz5TPlL+Ur5R/lD+T75OPkx+Sr5Ivka+RH5CfkB+Pn48fjr+OX44Pjd+Nv42vjb+N344fjm+O349Pj++Qj5E/kg+S35OvlI+Vb5ZPly+X/5jPmZ+aX5sPm6+cT5zfnV+dz54/np+e758/n4+f36AvoH+gz6EfoX+h76Jfot+jX6PvpI+lL6Xfpp+nT6gfqN+pn6pvqy+r76yfrU+t766Prw+vj6//sF+wr7DvsR+xP7FPsV+xT7FPsT+xL7EPsO+w37C/sK+wj7CPsH+wf7B/sH+wj7CfsL+wz7DvsP+xH7EvsT+xT7FPsU+xT7E/sR+w/7DfsK+wb7Avr++vn69Prv+ur65frg+qv6p/qj+qD6nvqc+pv6mvqb+pz6nfqg+qP6p/qr+q/6tPq6+sD6xfrL+tH61/rd+uP66frv+vT6+vr/+wT7CfsO+xP7GPsd+yH7J/ss+zH7Nvs7+0H7RvtM+1H7V/tc+2H7Zvtr+2/7c/t2+3n7e/t8+337fvt++337fPt6+3j7dfty+2/7bPtq+2f7Zftk+2P7Y/tk+2f7avtv+3X7fPuG+5D7nfuq+7r7y/vd+/D8Bfwa/DH8SPxg/Hn8kvyr/MT83fz2/Q79Jv09/VT9av1//ZP9pv24/cn92f3o/fb+A/4P/hr+JP4u/jf+P/5G/k3+U/5Z/l7+Y/5n/mv+b/5y/nX+eP56/nz+fv5//oD+gf6B/oH+gP5//n3+e/54/nT+cP5r/mb+YP5Z/lL+Sv5B/jj+Lv4k/hn+Dv4D/ff96/3g/dT9yP28/bH9pf2b/ZD9hv19/XX9bf1l/V/9Wf1U/VD9Tf1K/Un9R/1H/Uf9SP1J/Uv9Tf1P/VL9Vf1Y/Vz9X/1j/Wb9av1t/XH9dP13/Xv9fv2C/Yb9if2N/ZH9lf2Z/Z39of2m/ar9r/2z/bj9vf3B/cX9yf3N/dD90/3W/dj92f3Z/dn92f3X/dX90v3P/cv9x/3C/b79uf20/a/9qv2m/aL9n/2d/Zv9m/2c/Z79of2l/av9sf26/cL9zf3Y/eP98P39/gr+F/4k/jH+Pv5J/lT+Xv5n/m/+df55/nz+ff58/nn+df5v/mf+Xv5T/kf+Of4q/hr+Cf33/eX90v3A/az9mf2G/XP9Yf1P/T39Lf0c/Q38/vzv/OH81PzI/Lz8sfym/Jz8kvyI/H78dfxs/GP8WvxR/Ej8P/w2/C38I/wa/BD8Bvv9+/P76fvf+9X7y/vA+7b7rfuj+5n7j/uF+3z7c/tp+2D7V/tO+0X7PPsz+yr7IPsX+w77BPr6+vD65vrb+tD6xfq5+q36ofqU+oj6e/pt+mD6U/pF+jf6Kfob+g36APny+eT51/nJ+bz5r/mh+ZX5iPl7+W75YflV+Uj5O/ku+SH5FPkH+Pn46/je+M/4wfiy+KT4lPiF+Hb4Z/hX+Ej4OPgp+Bn4Cvf89+333vfQ98L3tfeo95v3jveB93X3afdd91H3Rfc59y33IfcV9wj2+vbt9t/20PbB9rH2ofaQ9n/2bfZa9kf2NPYg9gz1+PXk9c/1uvWm9ZH1ffVp9VT1QPUt9Rn1BvTz9OD0zvS89Kr0mPSH9HX0ZPRT9EH0MPQf9A7z/fPr89rzyfO486bzlfOE83PzYvNR80HzMPMg8xDzAfLx8uLy1PLF8rfyqfKc8o/ygvJ18mnyXfJR8kXyOfIu8iPyGPIN8gLx9/Ht8ePx2fHP8cbxvfG08azxpPGd8Zbxj/GJ8YTxfvF58XXxcfFt8WnxZfFi8V7xW/FX8VPxT/FL8UbxQfE78TXxL/Eo8SHxGvES8QrxAvD58PHw6fDh8Nnw0fDK8MTwvvC48LTwsPCu8Kzwq/Cr8KvwrfCv8LLwtvC68L7ww/DH8Mzw0PDV8Njw3PDe8ODw4fDi8OHw4PDe8Nvw1/DT8M7wyfDE8L/wuvC18LHwrvCs8Kvwq/Ct8LHwt/C/8Mnw1fDj8PPxBvEa8THxSfFi8X3xmfG28dPx8PIN8iryRvJh8nrykvKp8r3yz/Le8uvy9vL+8wPzBvMH8wXzAfL78vPy6vLg8tTyx/K68q3yn/KR8oPydvJp8l3yUfJG8jzyMvIo8h/yFvIO8gXx/PHz8enx3/HU8cjxu/Gs8Z3xjPF68WbxUvE88SXxDfD08NvwwfCn8IzwcvBY8D/wJvAO7/fv4u/N77vvqe+Z74vvfu9y72jvX+9X71DvSu9F70HvPe857zbvMu8v7yvvJ+8j7x7vGe8U7w7vCO8B7vru8+7s7uXu3e7W7tDuye7D7r7uue617rHuru6r7qnuqO6n7qbupu6m7qbupe6l7qXupO6j7qLuoO6d7prulu6S7o3uh+6B7nvudO5t7mbuXu5X7lDuSe5D7j3uOO407jDuLe4q7inuKO4p7iruK+4u7jHuNO447j3uQe5G7kvuT+5U7ljuXO5g7mPuZu5o7mrua+5t7m3ube5t7m3ubO5r7mvuae5p7mfuZu5l7mXuZO5j7mPuY+5j7mPuY+5k7mTuZe5m7mbuZ+5p7mrua+5s7m3ub+5x7nPude537nrufe6A7oTuiO6M7pHulu6c7qLuqe6v7rbuvu7G7s3u1e7d7uXu7e707vzvA+8K7xDvFu8c7yHvJu8q7y7vMu817zjvO+8+70DvQu9F70fvSe9M707vUe9V71jvXO9f72PvaO9s73Hvdu9673/vhO+J747vku+X75vvn++j76bvqu+t77Dvs++177jvu++978Dvw+/G78rvze/R79bv2+/g7+bv7O/y7/nwAPAI8A/wF/Af8CjwMPA48EDwSPBP8FfwXvBk8GvwcfB28HzwgfCF8IrwjvCT8Jfwm/Cg8KTwqfCv8LTwuvDB8Mjw0PDY8OHw6vD08P7xCfEU8SDxK/E38ULxTvFZ8WTxb/F58YPxjPGV8Z3xpPGr8bHxtvG78b/xw/HG8crxzPHP8dLx1fHY8dvx3/Hk8enx7/H28f7yB/IR8hzyKPI28kXyVfJm8njyi/Kg8rXyyvLh8vjzD/Mn8z/zV/Nv84bznfO088rz3/Pz9Ab0GPQp9Dn0R/RU9F/0afRy9Hn0f/SD9Ib0iPSI9Ij0h/SE9IL0fvR69Hb0cfRt9Gj0ZPRg9Fz0WfRW9FT0UvRS9FL0UvRU9Fb0WPRc9F/0ZPRp9G30c/R49H70hPSJ9I/0lPSZ9J70o/Sn9Kv0rvSx9LT0tvS49Ln0u/S89Lz0vfS99L30vfS99L30vPS89Lv0uvS69Ln0uPS49Lf0tvS29LX0tfS09LT0tPS09LX0tvS39Ln0u/S99MD0xPTJ9M701PTa9OH06fTx9Pv1BPUP9Rn1JPUw9Tv1R/VT9V/1avV29YH1jPWW9Z/1qfWx9bn1wfXI9c711PXZ9d714/Xn9ev17/Xz9ff1+/YA9gX2CvYP9hT2GvYg9if2LfY09jv2QvZI9k/2VfZa9l/2Y/Zm9mj2afZp9mj2ZvZj9l72WPZR9kn2P/Y29iv2IPYV9gr1/vXz9en14PXY9dH1y/XH9cb1xvXI9c311PXd9en19/YI9hv2MPZH9l/2evaW9rP20fbv9w73LfdM92r3iPek97/32ffx+Af4G/gt+D34S/hW+F/4Zfhq+Gz4bPhq+Gf4Yvhc+FX4TPhD+Dr4MPgn+B34FPgL+AP3/Pf29/H37ffq9+n36ffq9+338ff29/z4A/gL+BT4Hfgn+DL4PfhH+FL4Xfho+HL4e/iF+I34lfid+KP4qfiv+LT4uPi7+L74wfjE+Mb4yPjK+Mz4z/jR+NT41/jb+N/45Pjp+O/49fj7+QL5CfkR+Rj5IPkn+S75Nfk8+UH5RvlL+U75UflT+VP5U/lS+U/5TPlI+UL5Pfk2+TD5KPkh+Rr5EvkL+QX4//j6+PX48vjv+O747vju+PD48/j4+P35A/kK+RH5Gvkj+Sz5Nvk/+Un5U/lc+WX5bvl2+X75hvmN+ZP5mfmf+aT5qfmt+bL5t/m7+cD5xfnK+dD51/ne+eX57fn2+f/6CfoU+h/6Kvo2+kL6Tvpa+mb6cfp9+oj6k/qc+qb6rvq2+r36w/rI+s360PrT+tX61/rY+tj62PrY+tj62PrX+tf61/rX+tf61/rY+tn62vrc+t363/rh+uP65frn+uj66vrr+uv66/rr+ur66Prm+uT64frd+tn61PrP+sr6xfq/+rr6tfqw+nv6d/pz+nD6bfpr+mr6avpq+mr6bPpu+nH6dPp4+nz6gPqF+or6j/qV+pr6n/ql+qr6r/q0+rn6vvrD+sj6zPrR+tX62vrf+uT66fru+vP6+Pr++wT7CvsQ+xb7HPsj+yn7MPs2+zz7QftH+0z7UPtU+1j7W/td+1/7YPth+2H7Yftg+1/7Xvtd+1v7WvtZ+1n7WPtZ+1r7XPtf+2P7aPtu+3b7f/uJ+5T7ofuv+7/70Pvh+/T8CPwd/DL8SPxe/HX8i/yi/Lj8z/zl/Pr9D/0j/Tb9Sf1a/Wv9e/2J/Zf9pP2v/br9xP3N/db93f3k/ev98P32/fr9//4D/gf+Cv4N/hD+E/4V/hj+Gv4c/h3+Hv4f/iD+IP4g/h/+Hv4c/hn+Fv4S/g7+Cf4D/f399v3u/eb93v3U/cv9wf23/az9ov2X/Yz9gv14/W79ZP1b/VL9Sv1D/Tz9Nv0x/Sz9KP0l/SL9IP0f/R/9H/0f/SD9Iv0k/Sb9KP0r/S79MP0z/Tb9Of08/T/9Qf1E/Uf9Sv1M/U/9Uv1V/Vj9W/1e/WL9Zv1p/W39cf12/Xr9f/2D/Yj9jf2R/ZX9mf2d/aH9o/2m/aj9qf2q/ar9qf2o/ab9o/2g/Zz9mP2T/Y/9iv2E/X/9e/12/XL9b/1s/Wr9af1o/Wn9a/1u/XL9d/19/YX9jf2W/Z/9qv20/b/9yv3W/eH96/31/f7+B/4O/hT+Gf4d/h/+IP4f/hz+GP4S/gv+Av34/e394P3S/cT9tP2k/ZP9gv1x/V/9Tv08/Sv9Gv0K/Pr86/zc/M38wPyz/Kb8mvyP/IT8efxv/GX8XPxT/Er8Qfw4/C/8Jvwd/BP8CvwB+/f77vvk+9r70PvF+7v7sfum+5z7kvuH+337c/tp+1/7VftL+0L7OPsv+yX7HPsT+wn7APr2+u364/rZ+s/6xfq6+rD6pPqZ+o36gfp1+mn6XPpP+kL6Nfon+hr6Dfn/+fL55PnX+cr5vfmx+aT5mPmM+YD5dPlo+V35UflG+Tr5L/kj+Rj5DPkA+PT46Pjb+M74wfiz+KX4l/iJ+Hv4bPhd+E74P/gw+CH4EvgD9/T35vfY98r3vPev96P3lveK93/3c/do9133UvdI9z33M/co9x33EvcG9vv27vbi9tT2xva49qn2mfaJ9nj2ZvZU9kL2L/Yc9gj19PXg9cz1uPWj9Y/1e/Vo9VT1QfUu9Rv1CfT39OX01PTD9LL0ofSR9ID0cPRg9FD0P/Qv9B70DvP98+zz2/PK87nzp/OV84PzcvNg807zPfMr8xrzCPL48ufy1/LH8rjyqfKb8o3yf/Jz8mbyW/JQ8kXyO/Ix8ijyH/IW8g7yB/H/8fjx8vHr8eXx3/Ha8dTxz/HK8cTxwPG78bbxsvGt8anxpfGg8ZzxmPGT8Y/xivGG8YHxfPF38XLxbfFn8WLxXPFW8VDxSvFE8T7xN/Ey8SzxJvEg8RvxFvES8Q3xCvEH8QTxAvEA8P/w/vD+8P7w//EA8QLxA/EF8QfxCfEL8Q3xD/EQ8RLxEvET8RPxEvER8RDxDvEM8QnxBvED8QDw/fD68Pjw9vD08PTw9PD18Pfw+/EA8QbxDvEX8SLxL/E98UzxXfFv8YLxlvGs8cHx2PHv8gXyHPIy8kjyXfJx8oTylfKm8rXywvLN8tfy4PLm8uvy7vLw8vHy8PLu8uvy5/Lj8t7y2PLS8svyxfK+8rjysfKr8qTynfKX8pDyiPKB8nnycPJn8l3yUvJF8jjyKvIa8gnx9vHi8c3xt/Gf8YbxbfFS8TfxG/EA8OTwyPCs8JLwePBf8EfwMPAb8Afv9e/l79bvye++77Tvq++k757vme+V75Lvj++M74nvh++E74Dvfe9473Pvbe9m717vVe9M70LvN+8r7x/vE+8H7vru7u7i7tbuy+7B7rjur+6o7qHunO6Y7pXuk+6S7pLuk+6V7pfumu6d7qDuo+6m7qnurO6u7rDuse6x7rHusO6u7qzuqe6l7qHunO6X7pLujO6H7oHufO537nLubu5q7mfuZO5i7mHuYe5h7mLuY+5l7mjua+5u7nHude557n3uge6E7ojui+6O7pHuk+6V7pbul+6Y7pjumO6Y7pfulu6V7pPuku6Q7o7ujO6L7onuh+6G7oXug+6C7oLuge6B7oHuge6B7oLug+6E7obuh+6J7ovuju6R7pTumO6b7p/upO6o7q3us+647r7uxO7K7tDu1u7d7uPu6u7x7vfu/u8E7wrvEe8X7xzvIu8o7y3vMu837zzvQe9G70vvUO9U71nvXu9j72fvbe9y73fvfe+C74jvju+U75rvoO+m76zvsu+3773vwu/H78zv0e/W79nv3e/h7+Tv5+/p7+zv7u/w7/Lv9O/27/nv++/98ADwA/AH8ArwD/AT8BjwHvAk8CrwMPA38D/wRvBN8FXwXfBk8Gzwc/B68IHwiPCO8JTwmvCf8KTwqfCt8LHwtfC48Lzwv/DC8MbwyvDO8NLw1/Dc8OLw6PDv8Pbw/vEH8RDxGfEj8S7xOfFE8U/xWvFm8XHxfPGH8ZLxnPGl8a7xt/G/8cbxzPHS8dfx3PHf8ePx5vHo8evx7fHv8fHx9PH28frx/fIC8gfyDfIU8hzyJfIw8jvySPJW8mXydfKG8pnyrPLA8tXy6vMA8xbzLPND81nzb/OF85rzr/PC89Xz5/P49Aj0FvQj9C/0OvRD9Ev0UvRY9Fz0YPRi9GT0ZfRl9GX0ZPRj9GL0YfRg9F/0X/Re9F70X/Rg9GH0Y/Rl9Gj0a/Rv9HP0ePR99IL0h/SN9JL0mPSd9KL0p/Ss9LH0tfS49Lz0v/TC9MT0xvTI9Mn0yvTL9Mz0zPTN9M30zfTN9M30zfTO9M70zvTO9M70z/TP9M/0z/TP9ND00PTP9M/0z/TO9M70zfTN9Mz0zPTL9Mv0yvTK9Mr0y/TM9M30z/TR9NT01/Tc9OD05vTs9PP0+/UD9Qz1FfUf9Sn1M/U+9Un1VPVg9Wv1dvWB9Yz1l/Wi9az1tvXA9cn10vXb9eT17PX09fz2BPYM9hT2G/Yj9iv2MvY69kH2SPZQ9lf2XvZk9mv2cPZ29nr2fvaC9oT2hvaG9ob2hPaC9n72efZz9m32ZfZc9lP2SfY/9jT2KfYf9hT2CvYB9fj18fXr9eb14/Xh9eH14/Xo9e719/YB9g72HPYt9j/2U/Zp9oD2mPax9sr25Pb+9xj3MfdK92P3eveQ96T3tvfH99f35Pfv9/j3//gE+Af4CPgH+AX4Aff89/b37vfm99731ffM98P3u/ez96v3pfef95r3l/eV95T3lPeW95n3nfej96r3sve798T3z/fa9+b38vf++Av4F/gj+DD4PPhH+FL4Xfhn+HH4eviD+Iv4k/ia+KH4p/it+LP4ufi/+MT4yvjQ+Nb43Pjh+Oj47vj1+Pv5AvkI+Q/5Fvkc+SL5KPkt+TL5Nvk6+T35P/lB+UH5QflA+T75PPk5+TX5MPkr+SX5IPkZ+RP5DfkH+QH4+/j2+PH47fjq+Oj45vjl+Ob45/jp+Oz48Pj0+Pr5APkG+Q75Ffkd+SX5Lvk2+T75R/lP+Vf5X/lm+W35dPl7+YH5h/mN+ZP5mfmf+aT5qvmw+bb5vPnD+cr50fnZ+eH56fnx+fr6BPoN+hb6IPoq+jP6PfpG+k/6WPpg+mj6b/p2+nz6gfqG+or6jvqR+pT6lvqX+pn6mvqa+pv6m/qc+pz6nfqe+p/6oPqh+qP6pfqn+qn6rPqu+rH6tPq2+rn6u/q9+r/6wPrB+sH6wfrA+r76vPq6+rf6s/qv+qr6pfqg+pv6lfqP+or6hfqA+kj6RPpB+j36Ovo4+jb6Nfo0+jP6M/o0+jT6Nvo3+jn6PPo++kH6RPpH+kr6TfpR+lT6WPpc+l/6Y/pn+mv6b/p0+nn6fvqD+on6j/qV+pz6o/qr+rP6u/rE+s361vrf+uj68fr7+wT7DfsV+x37Jfss+zP7Ofs++0L7RvtJ+0v7TftO+077TvtN+0z7S/tJ+0j7RvtF+0X7RPtE+0X7R/tK+077UvtZ+2D7aPty+337ifuW+6T7tPvE+9X75/v6/A38Ifw1/En8Xfxx/IX8mPyr/L38z/zg/PD9AP0O/Rz9KP00/T/9Sf1T/Vv9Y/1q/XD9dv17/YD9hP2I/Yz9j/2S/ZX9mP2b/Z39n/2h/aP9pf2n/aj9qf2p/ar9qv2p/aj9p/2l/aP9n/2c/Zj9k/2O/Yj9gv18/XX9bv1m/V/9V/1P/Uf9P/04/TD9Kf0j/Rz9F/0R/Q39CP0F/QL9APz+/P38/Pz8/Pz8/fz//QD9Av0F/Qf9Cv0N/RD9E/0W/Rn9HP0e/SH9JP0n/Sr9LP0v/TL9Nf03/Tr9Pf1A/UT9R/1K/U79Uv1W/Vr9Xv1i/Wb9av1u/XL9dv15/Xz9f/2C/YT9hv2H/Yf9h/2H/Yb9hP2C/YD9ff16/Xf9c/1v/Wz9aP1k/WH9Xv1c/Vr9WP1X/Vf9WP1Z/Vv9Xv1i/Wb9a/1x/Xf9ff2E/Yv9kv2Z/aD9p/2u/bT9uf2+/cH9xP3G/cf9x/3G/cP9wP27/bX9r/2n/Z79lP2J/X79cv1m/Vj9S/0+/TD9Iv0V/Qf8+fzs/N/80vzG/Lr8rvyi/Jf8jPyC/Hj8bvxk/Fr8UfxI/D78Nfwr/CL8GPwO/AX7+/vx++f73PvS+8f7vfuy+6f7nPuR+4f7fPtx+2b7XPtR+0f7PPsy+yj7HfsT+wj6/vr0+un63/rU+sn6vvqz+qf6m/qP+oP6dvpq+l36UPpC+jX6J/oZ+gv5/fnv+eL51PnG+bn5q/me+ZH5hPl4+Wz5X/lU+Uj5PPkx+Sb5G/kQ+QX4+fju+OP41/jM+MD4tPin+Jv4jviB+HT4ZvhY+Er4PPgu+CD4EvgE9/X35/fa98z3v/ey96X3mfeN94H3dvdr92H3V/dN90P3Ofcv9yb3HPcT9wn2/vb09un23vbS9sX2ufar9p32jvZ/9m/2X/ZO9jz2K/YY9gb18/Xg9c31ufWm9ZP1gPVt9Vr1SPU19ST1EvUB9PD03/TO9L70rvSe9I70f/Rv9F/0UPRA9DD0IPQP8//z7vPd88vzuvOo85bzhPNy81/zTfM78ynzF/MF8vPy4vLR8sDysPKh8pLyg/J18mjyXPJQ8kTyOfIv8ibyHfIV8g3yBfH/8fjx8vHs8efx4vHd8djx1PHP8cvxx/HD8b/xu/G48bTxsPGs8ajxpPGh8Z3xmfGV8ZHxjfGJ8YXxgfF98XnxdPFw8WzxaPFk8WDxXPFZ8VXxUfFO8UrxR/FE8UHxPvE88TnxN/E18TPxMfEw8S7xLfEs8SvxKvEp8SnxKPEn8SfxJvEl8STxI/Ei8SLxIPEg8R/xHvEd8RzxG/Eb8RvxG/Eb8RzxHvEf8SLxJPEo8SzxMfE28T3xRPFL8VTxXfFm8XDxe/GG8ZLxnvGq8bfxxPHQ8d3x6vH28gLyDvIa8iXyMfI78kbyUPJZ8mPybPJ08nzyhfKM8pTynPKj8qrysfK48r7yxPLK8tDy1fLa8t7y4fLj8uTy5PLj8uDy3PLW8s/yxfK68qzynfKL8nfyYvJK8jHyFvH58dvxu/Gb8XrxWPE38RXw8/DT8LPwlPB28FrwQPAo8BLv/u/s793v0O/F77zvtu+x767vre+s763vr++y77Tvt++577vvvO+877vvue+177Dvqe+g75bviu98723vXe9M7znvJu8T7v/u6+7X7sPuse6f7o7uf+5w7mTuWe5Q7kjuQu4+7jzuPO497j/uQ+5I7k7uVe5c7mTubO517n3uhe6N7pTum+6h7qbuqu6u7rHusu6z7rTus+6y7rHuru6s7qnupu6j7qDune6b7pjulu6U7pPuku6S7pLuku6U7pXul+6Z7pvunu6h7qTup+6q7q7use607rbuue677r3uvu6/7sDuwe7B7sHuwO6/7r7uvO667rjutu607rHur+6s7qnup+6k7qHun+6d7pvume6X7pbulO6U7pPuk+6U7pTule6X7pnum+6e7qHupO6o7qzuse627rvuwe7G7s3u0+7Z7uDu5+7u7vXu/O8E7wvvE+8a7yLvKu8y7znvQe9J71HvWe9i72rvcu9674Lvi++T75vvpO+s77TvvO/E78zv0+/b7+Lv6O/v7/Xv+/AA8AXwCvAO8BLwFfAZ8BvwHvAg8CLwJPAm8CjwKvAs8C7wMPAz8DbwOPA88EDwRPBI8E3wUvBY8F7wZPBq8HHwePB/8IbwjfCU8JrwofCn8K3wsvC38LzwwfDE8Mjwy/DN8NDw0fDT8NXw1vDX8Nnw2vDc8N7w4PDi8OXw6fDt8PLw9/D98QTxDPEU8RzxJfEv8TnxRPFP8VrxZfFw8XvxhvGR8ZzxpvGw8bnxwvHK8dLx2fHg8ebx7PHx8fbx+/H/8gPyCPIM8hDyFfIZ8h7yJPIq8jHyOfJB8kryVPJf8mvyd/KE8pLyofKx8sHy0fLi8vTzBfMX8yjzOvNL81zzbfN9843znPOq87jzxfPR89zz5/Px8/r0AvQK9BH0F/Qd9CP0KPQt9DL0N/Q89EH0RvRL9FD0VvRc9GL0afRw9Hf0fvSG9I70lvSe9Kb0rvS29L70xfTN9NT02vTg9Ob06/Tv9PP09vT59Pv0/fT+9P/0//T/9P70/vT99Pz0+vT59Pf09vT19PP08vTx9PD07/Tu9O307PTr9Or06fTn9Ob05fTj9OH03/Td9Nr01/TU9NH0zfTJ9MX0wfS99Ln0tfSx9K70qvSn9KX0o/Si9KH0ofSh9KP0pfSo9Kz0sPS19Lv0wvTK9NH02vTj9O309/UC9Q31GPUj9S71OvVG9VL1XvVq9Xb1gvWO9Zr1pvWy9b/1y/XX9eT18PX99gn2FvYi9i72O/ZG9lL2XfZo9nP2ffaG9o72lvac9qL2pvaq9qz2rPas9qr2p/aj9p72l/aP9of2ffZz9mj2XfZR9kX2OvYv9iT2GfYQ9gf2APX59fX18fXv9e/18PXz9fj1/vYG9hD2G/Yn9jT2QvZR9mH2cvaC9pP2pPa09sT20/bi9vD2/PcI9xL3G/cj9yn3Lvcx9zT3Nfc09zP3MPct9yn3Jfcg9xv3FvcR9wz3B/cD9wD2/fb79vr2+/b89v73AvcG9wz3FPcc9yX3L/c790f3VPdi93D3f/eP9573rve/98/34Pfw+AD4EPgg+DD4P/hO+F34a/h4+Ib4kvif+Kr4tvjA+Mv41Pjd+Ob47vj1+Pv5AfkH+Qv5D/kS+RX5F/kY+Rj5F/kW+RT5EfkO+Qr5BfkA+Pv49fjv+On44vjb+NX4zvjI+ML4vfi4+LP4r/is+Kn4p/im+Kb4pvin+Kn4rPiw+LT4uPi++MT4yvjR+Nj43/jn+O749vj++Qb5DvkV+R35JPks+TP5O/lC+Un5UPlX+V75Zvlt+XX5fPmE+Yz5lPmd+aX5rvm3+cD5yfnS+dz55fnu+ff6APoJ+hH6Gvoh+in6L/o2+jv6QfpF+kn6TfpQ+lP6VfpX+lj6Wfpa+lv6W/pb+lz6XPpd+l36Xvpg+mH6Yvpk+mb6afpr+m76cPpz+nb6efp7+n76gPqC+oT6hfqG+ob6hvqF+oT6gvqA+n36evp2+nL6bvpp+mX6YPpb+lb6UfpN+iD6Hfob+hj6FfoT+hH6D/oN+gv6CfoI+gb6BfoE+gP6AvoB+gH6APoA+gD6APoB+gH6AvoD+gX6B/oJ+g36EPoU+hn6Hvok+ir6Mvo5+kL6S/pV+l/6avp1+oH6jfqZ+qb6svq/+sv61/ri+u36+PsC+wv7E/sb+yH7J/ss+zD7Mvs0+zX7Nfs1+zT7Mvsw+y37Kvsn+yT7Ivsf+x37HPsb+xv7HPse+yH7Jvsr+zH7OftC+0z7V/tj+3D7f/uN+537rvu++9D74fvz/AX8Fvwo/Dn8Sfxa/Gr8efyH/JX8ovyu/Ln8xPzO/Nf83/zn/O789Pz6/P/9BP0J/Q39Ef0U/Rf9G/0e/SD9I/0m/Sj9K/0t/S/9Mf0z/TT9Nv03/Tf9OP04/Tf9Nv01/TP9Mf0v/Sz9KP0k/SD9HP0X/RL9Df0H/QL8/Pz3/PL87Pzn/OL83vza/Nb80vzQ/M38y/zJ/Mj8yPzI/Mj8yfzK/Mv8zfzP/NL81PzX/Nr83fzh/OT85/zr/O788fz1/Pj8+/z+/QL9Bf0I/Qv9Dv0R/RT9GP0b/R79If0k/Sf9Kv0t/TD9M/02/Tn9O/0+/UD9Qv1E/UX9Rv1H/Uj9SP1I/Uf9R/1G/UX9Q/1B/UD9Pv08/Tr9OP02/TT9M/0y/TH9MP0w/TD9MP0x/TL9NP02/Tn9PP0//UP9R/1L/U/9U/1X/Vv9Xv1i/WX9aP1q/Wz9bf1u/W79bf1s/Wn9Z/1j/V/9Wv1U/U39Rv0//Tb9Lv0l/Rv9Ef0H/P388/zo/N380/zI/L38s/yo/J38k/yI/H78dPxp/F/8VfxL/ED8Nvws/CL8F/wN/AP7+Pvu++P72PvO+8P7uPut+6L7l/uM+4H7d/ts+2H7VvtL+0H7Nvsr+yH7FvsL+wH69vrr+uD61frK+r/6s/qo+pz6j/qD+nb6avpc+k/6Qvo0+ib6GPoJ+fv57Pne+c/5wfmy+aT5lvmI+Xr5bflf+VL5Rfk5+Sz5IPkU+Qn4/vjy+Of43PjS+Mf4vPix+Kb4nPiR+Ib4evhv+GP4WPhM+ED4M/gn+Bv4DvgB9/X36Pfc98/3w/e396v3n/eT94j3ffdy92j3XvdU90r3Qfc39y73Jfcc9xP3CvcB9vj27vbk9tr20PbF9rn2rfah9pT2hvZ49mn2WvZL9jv2KvYZ9gj19vXl9dP1wPWu9Zz1ivV39WX1U/VB9TD1HvUN9Pz06/Ta9Mr0ufSp9Jn0ifR59Gn0WfRI9Dj0KPQY9Afz9vPl89Tzw/Oy86Dzj/N982vzWfNH8zXzI/MS8wDy7/Le8s3yvfKt8p3yjvKA8nLyZPJX8kvyP/I08inyH/IW8gzyBPH88fTx7fHm8eDx2vHU8c/xyvHF8cDxvPG48bTxsPGs8anxpfGi8Z/xnPGZ8ZbxlPGR8Y/xjfGK8YjxhvGE8YLxgPF+8XzxevF48XbxdPFy8XDxbvFr8WnxZ/Fk8WLxX/Fc8VrxV/FU8VHxTvFL8UjxRfFD8UDxPfE78TjxNvE08TLxMPEv8S7xLfEs8SzxLPEs8S3xLvEv8TDxMvE08TbxOfE78T7xQvFF8UjxTPFP8VPxV/Fa8V7xYvFl8WnxbPFw8XPxd/F68X3xgfGE8Yjxi/GP8ZPxmPGd8aLxqPGu8bXxvfHF8c7x2PHj8e/x/PIJ8hjyJ/I38kjyWfJr8n3yj/Kh8rTyxfLX8ufy9/MF8xLzHfMm8y7zM/M18zXzMvMs8yPzF/MI8vby4vLK8q/ykvJz8lHyLfII8eHxuvGR8WnxQPEY8PHwyvCm8IPwYvBD8CfwDe/37+Pv0u/F77rvs++u76zvrO+v77Pvue/B78rv0+/d7+bv7+/47//wBvAK8A3wDvAM8AnwAu/67+/v4u/S78DvrO+W73/vZu9M7zLvF+777uDuxu6s7pPue+5l7lHuPu4u7iDuFO4L7gTt/+397fzt/u4C7gjuD+4Y7iLuLe457kbuUu5f7mzuee6F7pHunO6m7q/uuO6/7sXuyu7O7tHu0+7T7tTu0+7S7tDuzu7L7sjuxu7D7sDuvu677rruuO637rfut+647rnuuu697r/uw+7G7sruzu7T7tfu3O7g7uXu6e7t7vHu9O737vnu++787v3u/e787vvu+u737vTu8e7s7uju4+7d7tju0u7M7sXuv+647rLurO6m7qHum+6W7pLuju6L7ojuhu6F7oTuhO6F7ofuie6N7pHule6b7qHup+6v7rfuv+7I7tLu3O7m7vHu/O8I7xPvH+8r7zfvQ+9P71vvZ+9z73/vi++W76Lvre+478LvzO/W7+Dv6e/y7/rwAvAJ8BHwF/Ad8CPwKfAu8DLwN/A78D7wQvBF8EjwSvBN8FDwUvBV8FjwWvBd8GDwZPBn8Gvwb/B08HjwffCD8IjwjvCU8JrwoPCm8Kzws/C58L7wxPDK8M/w0/DY8Nzw3/Di8OXw5/Do8Onw6vDq8Orw6fDp8Ojw5/Dm8OXw5PDj8OPw4/Dk8OXw5vDp8Ovw7/Dz8Pnw/vEF8QzxFPEd8SbxMPE68UXxUPFb8WfxcvF+8YnxlfGg8avxtvHA8crx0/Hc8eTx7PH08fvyAvII8g7yFPIa8iDyJfIr8jHyN/I98kPySvJR8lnyYfJq8nPyffKH8pLynfKp8rXywfLO8tvy6fL28wTzEfMf8yzzOvNH81TzYfNt83nzhfOQ85vzpvOw87rzxPPO89fz4fPq8/Pz/fQG9A/0GfQj9C30N/RB9Ez0V/Rj9G70evSG9JL0nvSq9Lb0wvTO9Nn05PTv9Pr1A/UN9RX1HfUk9Sv1MPU19Tn1PPU/9UD1QfVB9UD1P/U99Tv1OPU19TH1LfUp9ST1IPUb9Rf1EvUN9Qj1A/T/9Pr09fTw9Oz05/Ti9N302PTT9M70yfTD9L70uPSy9Kz0pvSg9Jr0lPSN9If0gfR79Hb0cPRr9Gf0YvRf9Fz0WfRX9Fb0VfRW9Fb0WPRa9F30YfRm9Gv0cfR39H70hvSO9Jf0oPSq9LT0vvTJ9NT04PTs9Pj1BfUS9SD1LvU89Uv1WvVq9Xr1ivWb9az1vvXP9eH18/YF9hf2KfY79kz2XfZu9n32jPaa9qf2s/a99sf2zvbU9tn22/bc9tv22fbU9s72x/a99rL2pvaZ9ov2e/Zr9lv2SvY49if2FvYG9fb15/XZ9cz1wfW29a71pvWh9Z31m/Wa9Zz1nvWj9aj1sPW49cH1zPXX9eP17/X79gj2FPYh9i32OPZD9k32V/Zf9mb2bfZy9nf2evZ99n/2f/Z/9n/2fvZ89nr2ePZ39nX2c/Zy9nH2cfZy9nT2dvZ69n/2hfaN9pX2n/aq9rf2xfbU9uT29fcI9xv3L/dF91r3cPeH9573tffM9+P3+vgQ+Cb4PPhR+GX4ePiK+Jv4q/i6+Mf40/je+Oj48Pj3+Pz5APkD+QT5BPkD+QD4/fj4+PP47fjm+N741vjN+MT4u/iy+Kj4n/iW+I34hPh8+HX4bvho+GL4Xvha+Ff4VfhT+FP4U/hU+Fb4Wfhc+GD4ZPhp+G/4dPh7+IH4h/iO+JX4nPij+Kr4sPi3+L74xPjL+NH41/je+OT46vjx+Pf4/vkE+Qv5E/ka+SL5Kvky+Tv5RPlN+Vb5YPlq+XT5f/mJ+ZT5nvmo+bL5vfnG+dD52fni+er58fn5+f/6BfoL+hD6FPoY+hv6Hvog+iL6I/ok+iX6Jfom+ib6Jvom+if6J/on+ij6KPop+ir6K/os+i36L/ow+jL6M/o1+jf6OPo6+jv6PPo9+j76Pvo++j76Pvo9+jz6Ovo5+jf6Nfoz+jD6Lvor+ij6Jvoj+gz6C/oL+gr6CfoI+gf6BfoE+gH5//n9+fr59/n0+fD57fnq+eb54/ng+d352vnX+dX50/nS+dH50fnR+dP51PnX+dv53/nk+ev58vn6+gP6DfoX+iL6Lvo7+kj6Vvpj+nH6f/qO+pv6qfq3+sP60Prb+ub68Pr5+wH7CPsO+xP7F/sa+xz7HPsc+xz7GvsY+xX7EvsO+wv7B/sD+wD6/fr6+vj69/r2+vf6+Pr6+v37AvsH+w77Ffse+yj7M/s++0v7WPtm+3T7g/uS+6H7sfvA+8/73/vu+/z8C/wZ/Cb8M/w//Er8Vfxf/Gn8cvx6/IL8ifyP/JX8m/yg/KX8qvyu/LP8t/y6/L78wvzF/Mj8zPzP/NL81fzY/Nr83fzf/OH84/zl/Ob85/zn/Of85/zn/OX85Pzi/OD83fza/Nf80/zP/Mv8xvzC/L38ufy0/K/8q/ym/KL8nvya/Jf8lPyR/I/8jfyL/Ir8ifyJ/In8ivyL/Iz8jfyP/JH8lPyW/Jn8nPyf/KP8pvyp/K38sPy0/Lf8uvy+/MH8xPzH/Mr8zfzQ/NP81fzY/Nr83Pze/OD84fzj/OT85fzm/Of85/zo/Oj86Pzo/Oj85/zn/Ob85fzl/OT84/zi/OH84Pzf/N783fzc/Nz82/zb/Nv82/zc/Nz83fze/OD84fzj/OX85/zp/Ov87vzw/PP89fz3/Pr8/Pz9/P/9AP0B/QL9Av0C/QL9APz//P38+vz4/PT88Pzs/Of84vzc/Nb8z/zI/MH8ufyx/Kn8ofyY/I/8hvx9/HP8avxg/Fb8TPxC/Dj8Lvwj/Bn8DvwE+/n77vvj+9j7zfvC+7f7rPuh+5b7jPuA+3b7a/tg+1X7SvtA+zX7K/sh+xb7DPsC+vj67frj+tn6z/rF+rr6sPql+pv6kPqF+nn6bvpi+lb6Svo9+jD6I/oW+gj5+/nt+d/50PnC+bP5pfmW+Yj5evlr+V35T/lB+TT5JvkZ+Qz5APjz+Oj43PjQ+MX4uviw+KX4m/iR+If4ffhz+Gn4X/hV+Ev4Qfg3+C34I/gZ+A74BPf59+735PfZ9873w/e49633oveY9433g/d49273ZPda91D3R/c+9zT3K/ci9xr3EfcI9v/29vbt9uT22/bR9sf2vfaz9qj2nfaR9oX2efZs9l/2UfZD9jT2JfYV9gX19fXl9dT1w/Wy9aH1j/V+9Wz1W/VJ9Tj1JvUV9QT08vTh9ND0wPSv9J70jvR99G30XPRM9Dz0LPQc9Avz+/Pr89vzyvO686rzmfOJ83nzaPNY80jzOPMo8xjzCfL58ury2/LM8r7yr/Ki8pTyh/J68m7yYvJW8kvyQPI28izyIvIZ8hDyCPH/8fjx8fHq8ePx3fHX8dHxzPHH8cPxv/G78bfxtPGx8a7xq/Gp8afxpfGk8aLxofGg8Z/xnvGd8Z3xnPGb8ZvxmvGZ8Zjxl/GW8ZTxk/GR8Y/xjfGL8YjxhfGC8X/xfPF48XXxcfFt8WrxZvFj8WDxXfFa8VfxVfFT8VHxUPFQ8U/xT/FQ8VHxUvFU8VbxWfFc8V/xYvFm8WrxbvFx8XXxefF88X/xgvGF8YfxifGK8YvxjPGM8YvxivGJ8YfxhfGD8YDxfvF78Xnxd/F28XXxdPF18XbxePF88YDxh/GO8ZfxofGt8brxyfHZ8evx/vIS8ifyPfJT8mrygfKY8q/yxfLb8u/zAvMU8yPzMPM780PzSfNL80rzRvM/8zTzJvMV8wDy6fLO8rHykfJv8kvyJfH+8dbxrvGF8VzxNPEO8OjwxPCi8IPwZvBM8DTwIfAQ8ALv+e/y7+7v7u/w7/bv/vAI8BTwIfAw8D/wT/Bf8G/wffCL8Jjwo/Cr8LLwtvC38LbwsvCr8KHwlPCE8HHwXfBF8CzwEe/079bvuO+Z73nvWu877x3vAO7k7srusu6c7ojudu5n7lvuUe5K7kXuQ+5D7kXuSe5Q7ljuYe5s7njuhe6S7qDure677sju1e7h7uzu9+8A7wjvD+8V7xnvHe8f7yDvIO8f7x3vGu8X7xTvD+8L7wfvA+7+7vvu9+707vLu8O7v7u7u7+7w7vLu9O747vzvAO8F7wrvEO8W7x3vI+8p7y/vNe867z/vQ+9H70rvTO9N703vTe9L70nvRe9B7zzvNu8v7yfvH+8W7w3vA+767u/u5e7b7tHuyO6/7rburu6m7qDumu6V7pHuju6N7ozujO6O7pDulO6Z7p/upu6u7rbuwO7L7tbu4u7v7vzvCe8X7yXvM+9C71DvX+9t73zviu+X76Xvsu+/78vv1+/i7+3v9/AB8ArwEvAb8CLwKvAw8DfwPfBC8EjwTfBR8FbwWvBe8GLwZvBq8G7wcvB28Hrwf/CD8IjwjPCR8JbwnPCh8KfwrPCy8LjwvvDE8Mrw0PDW8Nzw4fDn8Ozw8fD18Pnw/fEA8QLxBfEH8QjxCfEJ8QnxCfEI8QfxBfEE8QLxAPD/8P3w+/D68Pnw+fD48Pnw+fD78P3xAPED8QjxDfET8RnxIfEp8THxO/FE8U/xWfFk8XDxe/GH8ZPxnvGq8bXxwPHL8dXx3/Ho8fHx+fIB8gjyD/IV8hvyIPIl8iryLvIy8jbyOvI+8kLyRvJK8k/yVPJZ8l/yZvJs8nTyfPKE8o7yl/Kh8qzyt/LD8s/y2/Lo8vXzAvMQ8x3zK/M480XzU/Ng823zevOG85Pzn/Or87fzwvPO89nz5PPv8/r0BfQQ9Bv0JvQy9D30SPRU9GD0bPR49IX0kfSe9Kr0t/TE9ND03fTp9Pb1AfUN9Rj1I/Ut9Tf1P/VI9U/1VvVc9WH1ZfVo9Wv1bPVt9W31bPVq9Wj1ZfVh9Vz1V/VR9Uv1RPU99Tb1LvUm9R31FfUM9QP0+vTx9Oj03/TW9M30xPS79LL0qvSh9Jn0kfSJ9IH0efRy9Gv0ZfRf9Fn0VPRP9Er0R/RD9ED0PvQ89Dv0OvQ69Dv0PPQ+9ED0Q/RG9Er0TvRS9Fj0XfRj9Gn0cPR39H70hfSN9JX0nvSn9LD0uvTE9M702fTl9PH0/fUK9Rj1JvU19UX1VfVm9Xj1ivWc9bD1w/XX9ev2APYU9ij2PPZQ9mT2dvaI9pn2qfa49sX20fbb9uP26vbu9vH28vbx9u326Pbh9tf2zPa/9rH2ofaQ9n72avZW9kL2LfYY9gT18PXc9cn1t/Wm9Zb1iPV89XH1aPVh9Vv1WPVW9Vf1WfVc9WL1aPVx9Xr1hPWQ9Zz1qPW19cL1z/Xc9en19fYA9gv2FfYe9ib2LfYz9jj2PPY/9kH2QvZC9kL2QfZA9j/2PfY89jv2OvY69jr2O/Y99kH2RfZL9lL2W/Zl9nH2f/aO9p72sfbE9tn28PcH9yD3OfdU9273ivel98H33ff4+BL4LfhG+F74dfiL+KD4s/jE+NT44fjt+Pf4//kF+Qr5DPkN+Qv5CfkE+P749/jv+OX42/jQ+MT4uPis+J/4k/iG+Hr4b/hk+Fn4UPhH+D/4Ofgz+C74K/gp+Cf4J/go+Cr4LPgw+DT4Ofg/+EX4S/hS+Fr4Yfho+HD4d/h++Ib4jPiT+Jn4n/il+Kv4sPi1+Ln4vvjC+Mb4yvjP+NP41/jc+OD45vjr+PD49/j9+QT5C/kT+Rz5JPkt+Tf5QflL+VX5YPlq+XX5gPmK+ZX5n/mp+bP5vPnF+c351fnc+eP56Pnu+fP59/n6+f35//oB+gL6A/oE+gT6A/oD+gL6AfoA+f/5/fn8+fv5+vn5+fj59/n2+fb59vn2+fb59vn2+ff5+Pn5+fr5+/n8+f35//oA+gH6A/oE+gX6BvoI+gn6CfoK+gv6C/oM+gD6AvoE+gX6B/oH+gf6B/oG+gT6AvoA+f35+vn2+fL57vnp+eX54Pnb+df50vnO+cr5xvnD+cD5vvm9+b35vfm++cD5w/nH+cz50vnY+eD56fnz+f36CPoU+iD6Lfo6+kf6Vfpi+nD6ffqK+pf6o/qv+rr6xPrO+tb63vrl+ur67/rz+vX69/r4+vj6+Pr3+vX68/rw+u366vrn+uT64fre+tz62vrZ+tn62fra+tz63vri+uf67Pry+vr7AvsL+xT7H/sq+zX7QftO+1r7Z/t1+4L7j/uc+6n7tvvC+8/72vvl+/D7+/wF/A78F/wf/Cf8L/w2/Dz8Q/xI/E78U/xZ/F38Yvxn/Gv8b/x0/Hj8fPyA/IT8iPyL/I/8k/yW/Jn8nPyf/KL8pPym/Kj8qfyq/Kr8qvyq/Kn8qPyn/KX8ovyf/Jz8mfyV/JH8jfyJ/IT8gPx7/Hb8cvxt/Gn8ZPxg/Fz8WfxW/FP8UPxO/Ez8SvxJ/En8SPxI/Ej8SfxK/Ez8TfxP/FH8U/xV/Fj8Wvxd/GD8Y/xl/Gj8a/xt/HD8cvx0/Hb8ePx6/Hv8ffx+/H/8f/yA/ID8gPyA/ID8gPx//H/8fvx9/Hz8e/x6/Hn8d/x2/HX8dPxy/HH8cPxv/G78bvxt/Gz8bPxs/Gz8bPxs/Gz8bfxt/G78b/xw/HH8cvxz/HT8dfx2/Hf8ePx5/Hn8evx6/Hr8evx6/Hr8efx4/Hf8dfxz/HH8bvxs/Gj8Zfxh/F38WPxT/E78SPxC/Dz8Nfwv/Cf8IPwY/BH8CPwA+/f77vvl+9z70/vJ+7/7tfur+6H7lvuM+4H7d/ts+2L7V/tM+0H7N/ss+yH7F/sM+wL6+Pru+uP62frP+sX6vPqy+qj6n/qV+oz6gvp5+m/6Zvpc+lL6SPo++jT6Kvof+hX6Cfn++fP55/nb+c/5wvm2+an5nPmP+YL5dPln+Vn5TPk++TH5I/kW+Qn4/Pjv+OL41vjK+L74svin+Jz4kfiG+Hz4cvho+F/4VfhM+EP4Ofgx+Cj4H/gW+A34BPf79/L36ffg99b3zffE97r3sPen9533k/eJ93/3dfdr92H3V/dN90P3Ofcw9yb3HfcT9wr3APb39u725fbb9tL2yfbA9rf2rfak9pr2kPaG9nz2cfZm9lv2T/ZE9jf2K/Ye9hH2A/X29ef12fXK9bv1rPWc9Y31ffVs9Vz1TPU79Sv1GvUK9Pn06fTY9Mj0t/Sn9Jf0h/R39Gf0V/RI9Dj0KfQa9Avz/PPt897z0PPB87PzpfOX84nze/Nt81/zUvNE8zfzKvMd8xDzBPL38uvy3/LT8sfyvPKx8qXym/KQ8obyfPJy8mjyX/JW8k3yRPI88jTyLfIm8h/yGPIS8gzyB/IC8f3x+fH08fHx7fHq8ejx5fHj8eHx4PHf8d3x3fHc8dvx2vHa8dnx2PHY8dfx1vHV8dTx0/HR8c/xzfHL8cnxxvHD8b/xvPG48bXxsfGt8anxpfGh8Z3xmfGV8ZLxj/GM8Ynxh/GG8YTxhPGD8YTxhPGG8YfxifGM8Y/xkvGW8ZrxnfGi8abxqfGt8bHxtPG38brxvPG+8b/xv/G/8b7xvfG78bjxtfGx8a3xqPGj8Z7xmfGU8Y/xivGG8YLxf/F98Xvxe/F78X3xgfGF8Yvxk/Gc8abxsvG/8c3x3fHt8f/yEfIj8jfySvJd8nDygvKT8qPysvLA8svy1fLd8uLy5vLm8uTy3/LX8s3ywPKx8p/yivJ08lvyQfIl8gjx6vHM8a3xjvFw8VLxNvEa8QDw6fDT8L/wrvCg8JXwjPCH8ITwhfCI8I7wlvCh8K7wvfDO8N/w8vEG8RrxLvFB8VTxZvF28YXxkvGd8aXxq/Gu8a7xq/Gm8Z3xkvGE8XPxX/FJ8TLxGPD88ODwwvCj8ITwZfBH8CjwC+/u79Pvuu+i74zvee9n71jvS+9A7zjvMu8v7y3vLu8w7zTvOu9B70nvUu9b72XvcO9674Tvju+X76DvqO+v77Tvue+977/vwO/A77/vve+577XvsO+q76Tvne+V747vh+9/73jvce9q72TvX+9a71fvVO9R71DvUO9Q71HvU+9W71rvXu9i72fvbO9y73fvfO+B74bvi++P75Lvle+X75jvmO+X75Xvk++P74vvhu+A73nvce9o71/vVu9M70LvOO8u7yPvGu8Q7wfu/u727u7u6O7i7t3u2u7X7tbu1e7W7tju2+7f7uTu6u7y7vrvA+8N7xfvI+8u7zrvR+9U72Hvbu9874nvlu+j77DvvO/I79Tv3+/q7/Tv/vAI8BHwGfAh8CnwMPA38D3wRPBK8FDwVfBb8GDwZvBr8HDwdvB78IHwh/CN8JPwmfCg8KbwrfC08LvwwvDJ8NHw2PDf8Obw7fD08PrxAPEG8QzxEfEW8RrxHvEi8STxJ/Eo8SrxK/Er8SvxKvEp8SjxJvEl8SPxIfEf8R3xG/Ea8RjxGPEX8RfxGPEa8RzxH/Ei8SfxLPEy8TnxQfFK8VTxXvFp8XTxgPGN8Zrxp/G08cLxz/Hc8erx9vID8g/yGvIl8i/yOPJB8kjyT/JV8lryXvJi8mTyZvJn8mjyaPJn8mbyZfJk8mPyYvJh8mDyYPJg8mDyYvJk8mfya/Jv8nXyfPKD8ozylfKf8qvyt/LE8tHy3/Lu8v7zDfMd8y7zPvNP81/zcPOA85DzoPOw87/zzfPc8+nz9vQD9A/0G/Qn9DH0PPRG9FD0WvRj9Gz0dfR+9If0kPSZ9KL0q/S19L70x/TR9Nv05fTv9Pn1A/UN9Rf1IfUr9TT1PvVH9VD1WPVg9Wf1bvV09Xr1f/WD9Yb1ifWK9Yv1i/WK9Yj1hvWC9X71ePVy9Wv1ZPVb9VP1SfU/9TT1KfUe9RL1B/T79O/04vTW9Mr0v/Sz9Kj0nfST9In0gPR39G/0Z/Rh9Fv0VvRR9E70S/RJ9Ej0R/RI9En0SvRN9FD0VPRY9F30YvRo9G70dPR79IL0ifSQ9Jj0n/Sn9K/0t/S/9Mf0z/TY9OH06fTz9Pz1BvUQ9Rr1JvUx9T31SvVX9WX1c/WD9ZL1o/W09cX11/Xq9f32EPYj9jb2SfZd9m/2gfaT9qT2tPbD9tH23fbo9vL2+vcA9wT3B/cH9wb3A/b+9vf27vbk9tj2yva89qz2m/aJ9nb2ZPZQ9j32KvYX9gX19PXj9dT1xfW49a31o/Wb9ZT1j/WM9Yv1i/WN9ZH1lvWc9aT1rfW29cH1zPXX9eP17/X69gb2EfYb9iX2LvY29j32RPZI9k32T/ZR9lL2UvZR9k/2TfZJ9kb2QvY/9jv2OPY19jP2MfYx9jH2M/Y39jv2QvZK9lT2YPZt9n32jvag9rX2y/bj9vz3Fvcy9073a/eI96b3xPfi9//4HPg4+FT4bviH+J74tPjI+Nr46vj5+QX5D/kX+R35Ifki+SL5IPkc+Rf5EPkI+P749Pjp+N340PjE+Lf4qvid+JH4hfh6+HD4Z/he+Ff4UfhM+Ej4RfhE+ET4RPhH+Er4TvhT+Fj4X/hm+G34dfh++Ib4j/iX+KD4qPiw+Lf4v/jG+Mz40vjX+Nz44fjl+Oj46/ju+PH48/j1+Pf4+fj7+P34//kC+QT5CPkL+Q/5E/kY+R35I/kq+TD5OPk/+Uj5UPlZ+WL5a/l1+X75h/mR+Zr5o/ms+bT5vPnE+cv50vnY+d354vnm+en57Pnu+fD58fnx+fH58Pnv+e356/np+ef55Pnh+d/53PnZ+db50/nR+c/5zfnL+cr5yfnJ+cj5yfnJ+cr5zPnO+dD50vnV+dj52/nf+eL55vnp+e358fn0+ff5+/n9+fP59vn4+fr5/Pn9+f75/vn9+fz5+/n5+ff59Pnx+e356fnl+eD53PnX+dL5zvnJ+cX5wfm++br5uPm2+bX5tPm0+bX5t/m5+b35wfnG+cz50/na+eP56/n1+f76CfoU+h76Kvo1+kD6S/pW+mH6a/p1+n76h/qP+pf6nvqk+qn6rvqy+rX6t/q4+rn6uvq6+rn6uPq3+rX6s/qx+q/6rfqs+qv6qvqp+qn6qfqq+qz6rvqx+rX6ufq++sT6yvrS+tn64vrr+vT6/vsI+xL7Hfso+zP7PvtJ+1T7X/tq+3T7f/uJ+5L7nPul+677tvu++8X7zPvT+9r74Pvm++z78vv3+/z8AfwG/Av8EPwU/Bn8Hvwi/Cf8K/wv/DT8OPw8/ED8RPxI/Ez8T/xT/Fb8WPxb/F38X/xg/GH8Yvxi/GL8Yvxh/GD8Xvxc/Fn8V/xU/FD8TfxJ/EX8Qfw9/Dn8Nfww/Cz8KPwk/CD8HfwZ/Bb8E/wQ/A78C/wJ/Aj8BvwF/AT8BPwE/AP8BPwE/AX8BfwG/Af8CPwJ/Ar8C/wN/A78D/wQ/BH8EvwT/BP8FPwU/BX8FfwV/BX8FPwU/BP8E/wS/BH8EPwP/A78DPwL/Ar8CPwH/AX8BPwC/AH8APv++/37/Pv7+/r7+fv4+/f79vv1+/X79Pvz+/P78vvx+/H78Pvw++/77/vu++377Pvs++v76fvo++f75fvk++L74Pve+9v72fvW+9P70PvM+8j7xfvA+7z7t/uz+637qPui+537lvuQ+4r7g/t8+3T7bftl+137VftN+0T7O/sy+yn7IPsX+w37A/r6+vD65vrc+tL6yPq++rT6qvqg+pb6jPqC+nj6bvpl+lv6UvpI+j/6Nvos+iP6GvoR+gf5/vn1+ez54vnZ+dD5xvm8+bL5qfmf+ZT5ivl/+XX5avlf+VP5SPk9+TH5JfkZ+Q75Avj2+Or43vjS+Mb4uviv+KP4mPiN+IL4d/hs+GL4WPhO+ET4O/gx+Cj4H/gW+A74Bff99/X37Pfk99z31PfM98T3u/ez96v3ovea95H3iPd/93b3bfdj91r3UPdH9z33M/cp9x/3FfcL9wH29/bt9uP22fbP9sX2u/ax9qj2nvaU9or2gfZ39m32Y/Za9lD2RvY89jL2KPYd9hP2CPX99fL15/Xb9c/1w/W39av1nvWR9YT1dvVp9Vv1TfU/9TD1IvUT9QX09vTn9Nj0yfS69Kv0nPSN9H70cPRh9FL0RPQ29Cj0GvQM8/7z8fPk89fzyvO987HzpPOY84zzgPN182nzXvNT80jzPfMz8yjzHvMU8wrzAPL28u3y4/La8tHyyPK/8rbyrvKm8p7ylvKO8ofygPJ58nLybPJm8mDyWvJV8lDyTPJH8kPyQPI88jnyNvI08jHyL/Iu8izyKvIp8ijyJ/Im8iXyI/Ii8iHyIPIf8h3yHPIa8hjyFfIT8hDyDfIJ8gbyAvH+8frx9fHx8ezx5/Hi8d3x2PHU8c/xy/HG8cLxv/G78bnxtvG08bLxsfGw8bDxsPGx8bLxtPG18bjxuvG98cDxw/HG8cnxzPHP8dHx1PHW8djx2fHZ8dnx2fHY8dbx1PHR8c7xyvHF8cDxu/G18a/xqfGj8Z3xl/GR8YvxhvGB8X3xevF38XXxdPF18XbxePF78X/xhPGK8ZHxmfGi8avxtfG/8cnx1PHf8enx9PH+8gfyD/IX8h7yI/In8iryLPIs8iryJ/Ij8hzyFfIM8gLx9/Hq8d3xz/HB8bLxo/GU8YXxd/Fp8V3xUfFH8T7xN/Ey8S7xLPEt8S/xNPE68ULxTfFZ8Wfxd/GI8ZrxrfHB8dXx6fH+8hLyJvI58kvyXPJr8njyhPKO8pXymvKc8p3ymvKV8o7yhPJ48mryWfJH8jPyHfIG8e/x1vG88aLxifFv8VbxPfEl8Q7w+PDk8NHwwPCw8KLwlvCM8ITwfvB58HbwdPB08HbwePB78IDwhfCK8JDwlvCb8KHwpvCr8K/wsvC18LbwtvC28LTwsfCt8KjwofCa8JLwifB/8HXwavBe8FLwRvA68C7wI/AX8AzwAu/47+7v5u/e79fv0O/L78bvw+/A773vvO+777vvu++8773vvu+/78Hvwu/D78Tvxe/G78bvxe/E78Pvwe++77vvt++z767vqe+j753vlu+Q74nvgu9773Tvbu9n72HvW+9W71HvTu9K70fvRu9F70TvRe9G70nvTO9Q71TvWe9g72bvbu91737vh++Q75nvo++s77bvwO/K79Tv3e/n7/Dv+fAC8ArwEvAb8CLwKvAx8DjwP/BG8EzwU/BZ8F/wZvBs8HPwefCA8IfwjvCV8J3wpfCt8LXwvvDG8M/w2PDh8Orw8/D88QXxDvEW8R7xJ/Eu8TXxPPFC8UjxTfFR8VXxWPFa8VzxXfFd8V3xXPFb8VnxVvFT8VDxTfFJ8UbxQvE/8TzxOfE38TXxNPE08TXxNvE48TzxQPFG8UzxVPFd8WfxcvF+8YvxmPGn8bfxx/HY8enx+vIM8h3yL/JA8lHyYfJx8oDyjvKb8qfysvK88sXyzPLS8tfy2vLc8t3y3PLa8tfy1PLP8snyxPK98rbyr/Ko8qHymvKU8o7yifKE8oHyfvJ98n3yfvKA8oXyivKR8pnyovKt8rnyx/LW8uXy9vMI8xrzLfNB81TzaPN985HzpfO588zz3/Py9AT0FfQl9DX0Q/RR9F70avR19H/0ifSR9Jn0oPSm9Kz0svS39Lv0wPTE9Mj0zfTR9Nb02vTf9OX06vTx9Pf0/vUG9Q71FvUf9Sj1MfU79UX1TvVZ9WP1bPV29YD1ifWR9Zn1ofWo9a71s/W49bv1vvW/9cD1v/W99br1tvWx9av1pPWc9ZP1iPV+9XL1ZvVZ9Uz1PvUw9SL1FPUG9Pj06vTc9M/0wvS29Kv0oPSW9Iz0hPR99Hb0cfRs9Gn0ZvRl9GT0ZPRm9Gj0a/Rv9HP0ePR+9IX0jPST9Jv0o/Ss9LX0vvTI9NH02/Tl9PD0+vUF9RD1G/Um9TL1PvVK9Vf1ZPVx9X/1jfWc9av1uvXK9dr16/X89g72H/Yy9kT2VvZo9nr2jfae9rD2wfbR9uH27/b99wr3Fvcg9yn3Mfc39zz3P/dA90D3Pvc79zb3MPco9x/3FfcJ9v327/bh9tL2w/a09qT2lfaF9nb2aPZa9k32QfY29iz2I/Yc9hb2EfYN9gv2CvYL9gz2D/YS9hf2HPYj9in2MPY39j72RvZN9lP2WvZf9mT2afZs9m72cPZw9nD2b/Zs9mn2ZfZf9lr2VPZN9kb2P/Y39jH2KvYk9h72GvYW9hT2E/YU9hb2GvYf9if2MPY89kn2WPZq9n32kvap9sH22/b29xP3MPdP9273jfes98z36/gK+Cn4Rvhj+H74mPix+Mf43fjw+QH5Efke+Sn5Mvk6+T/5Q/lE+UT5Qvk/+Tr5NPkt+SX5HfkU+Qr5APj2+Oz44/jZ+NH4yfjB+Lr4tfiw+Kz4qfin+Kb4p/io+Kr4rfix+LX4u/jB+Mf4zvjV+N345Pjs+PP4+/kC+Qn5EPkW+Rz5Ifkm+Sr5Lvky+TX5N/k5+Tv5PPk9+T35Pvk++T/5P/lA+UD5QflC+UP5RflG+Un5TPlP+VP5V/lb+WD5Zflr+XH5ePl++YX5jPmT+Zr5ofmo+a/5tvm8+cL5yPnN+dL51vna+d354Pni+eT55fnl+eX55fnk+eP54fnf+dz52fnX+dP50PnN+cr5x/nE+cL5v/m9+bv5uvm5+bj5uPm4+bn5uvm7+b35wPnC+cb5yfnM+dD51PnY+dz54Pnk+ej57Pnw+ej56fnr+ez57fnu+e757vnt+ez56/np+ef55Pni+d/52/nY+dX50fnN+cr5xvnD+cD5vfm6+bj5tvm1+bT5s/mz+bT5tfm3+br5vfnB+cX5yvnP+dX53Pnj+er58fn5+gH6CfoR+hn6Ifoo+jD6N/o++kX6S/pR+lb6W/pf+mP6Zvpp+mv6bfpu+m/6cPpw+m/6b/pu+m36bPpr+mr6afpo+mj6aPpo+mj6afpq+mz6bvpx+nT6ePp9+oL6h/qN+pT6m/qi+qr6svq6+sP6zPrV+t766Prx+vv7BPsN+xb7H/so+zH7OftB+0n7UPtY+1/7Zfts+3L7ePt++4T7ifuO+5P7mPud+6L7p/ur+7D7tPu5+737wvvH+8v7z/vU+9j73fvh++X76fvt+/H79fv4+/z7//wB/AT8BvwI/Ar8C/wM/A38DfwN/A38DPwL/Ar8CPwG/AT8Avv/+/z7+fv2+/P77/vs++j75Pvh+9372fvW+9L7z/vM+8n7xvvD+8D7vvu7+7n7t/u2+7T7svux+7D7rvuu+637rPur+6r7qvup+6n7qPuo+6f7p/um+6b7pfuk+6T7o/ui+6H7ofug+5/7nvud+5z7m/uZ+5j7l/uW+5X7k/uS+5H7j/uO+437i/uK+4j7h/uG+4T7g/uB+4D7f/t9+3z7evt4+3f7dftz+3L7cPtu+2z7avto+2b7Y/th+1/7XPtZ+1b7VPtR+037SvtG+0P7P/s7+zf7M/su+yr7Jfsg+xv7FvsQ+wv7Bfr/+vj68vrr+uT63frW+s76x/q/+rf6r/qm+p76lfqM+oP6evpx+mj6X/pV+kz6Qvo5+i/6Jvoc+hL6Cfn/+fX57Pni+dj5z/nF+bz5svmp+Z/5lvmN+YP5evlw+Wf5XvlU+Uv5Qfk3+S35JPka+RD5Bvj8+PL46Pje+NP4yfi++LT4qvif+JX4i/iA+Hb4bPhi+Fj4TvhE+Dr4Mfgn+B74FfgM+AP3+/fy9+r34vfa99L3y/fD97v3tPet96X3nveX94/3iPeB93n3cvdq92L3WvdS90r3Qvc59zH3KPcf9xb3DfcE9vr28fbn9t320/bJ9r/2tfar9qH2l/aN9oP2ePZu9mT2WvZQ9kb2PPYy9ij2HvYU9gr2AfX39e314/XZ9c/1xPW69bD1pfWb9ZD1hfV69W/1Y/VY9Uz1QPU09Sj1HPUP9QP09vTp9Nz0z/TC9LT0p/Sa9Iz0f/Rx9GT0V/RJ9Dz0L/Qi9BX0CPP88+/z4/PX88vzv/Oz86jznPOR84fzfPNx82fzXfNT80rzQPM38y7zJfMc8xTzC/MD8vvy8/Ls8uTy3fLW8s/yyfLC8rzytvKw8qrypfKg8pvylvKS8o3yifKG8oLyf/J88nnydvJ08nHyb/Ju8mzyavJp8mfyZvJk8mPyYfJg8l/yXfJb8lryWPJV8lPyUfJO8kvyR/JE8kDyPPI48jTyL/Iq8iXyIPIb8hbyEPIL8gbyAPH78fbx8fHt8ejx5PHg8d3x2fHW8dTx0vHQ8c/xzvHO8c7xzvHO8c/x0PHR8dPx1PHV8dfx2PHa8dvx3PHd8d3x3fHd8dzx2/HZ8dfx1PHR8c3xyfHF8cDxuvG08a7xqPGi8ZvxlPGO8YfxgfF78XTxb/Fq8WXxYPFd8VrxV/FV8VTxU/FT8VTxVfFX8VnxXPFf8WPxZ/Fr8W/xdPF48X3xgfGF8YnxjfGQ8ZPxlfGY8ZnxmvGb8ZzxnPGb8ZvxmvGZ8Zjxl/GW8ZXxlPGU8ZXxlvGX8ZrxnfGh8abxrPGz8bzxxfHP8dvx6PH18gTyE/Ij8jTyRfJX8mnye/KN8p/ysfLC8tLy4vLw8v7zCvMV8x7zJvMr8zDzMvMz8zLzL/Mq8yTzG/MS8wby+vLs8t3yzfK88qvymfKH8nXyYvJQ8j7yLfId8g3x/vHw8ePx2PHN8cTxu/G18a/xq/Gn8aXxpPGj8aTxpfGm8ajxq/Gt8bDxsvG08bbxuPG58bnxuPG38bTxsfGt8afxofGa8ZHxiPF+8XLxZvFZ8UzxPvEv8SDxEfEC8PLw4vDT8MPwtPCm8JfwivB88HDwZPBY8E7wRPA68DLwKvAj8BzwFvAR8AzwCPAE8ADv/e/67/fv9O/y7/Dv7e/r7+jv5u/j7+Hv3u/b79jv1e/S78/vzO/J78bvw+/B777vvO+677jvt++277Xvte+177bvt++577vvve/A78TvyO/N79Lv1+/d7+Pv6e/w7/fv/vAF8A3wFPAc8CPwK/Ay8DrwQfBJ8FDwWPBf8GbwbfB08HvwgvCJ8JHwmPCf8KfwrvC28L7wxvDO8Nfw4PDp8PLw/PEG8RDxGvEk8S7xOfFD8U7xWPFi8WzxdvF/8YjxkPGY8Z/xpvGs8bHxtfG58bzxvvG/8b/xv/G98bvxuPG18bHxrPGn8aHxm/GV8Y/xifGD8X7xefF08XDxbPFq8WjxZ/Fo8WnxbPFw8XbxfPGE8Y7xmPGk8bLxwPHP8eDx8fIE8hbyKvI+8lLyZvJ68o7yofK08sby2PLo8vjzBvMT8x/zKfMy8znzPvNC80XzRfNF80LzP/M68zTzLfMl8xzzEvMJ8v7y9PLp8t/y1fLM8sPyu/K08q7yqvKn8qXypfKm8qnyrvK08rzyxvLR8t7y7PL88w3zH/My80bzW/Nw84bznPOz88nz4PP29Az0IfQ19En0XPRt9H70jvSd9Kr0tvTB9Mv01PTb9OL05/Ts9PD08vT19Pf0+PT59Pn0+vT69Pv0/PT99P71APUD9Qb1CfUO9RP1GPUf9Sb1LvU29T/1SfVT9V31aPVz9X71ifWV9aD1qvW19b/1yPXR9dn14PXm9ev17/Xy9fP19PXz9fH17vXp9eP13PXU9cv1wfW19an1nPWP9YD1cvVi9VP1Q/Uz9SP1FPUE9PX05vTY9Mv0vvSy9Kb0nPSS9Ir0gvR89Hb0cvRv9Gz0a/Rr9Gz0bvRx9HX0evSA9Ib0jvSW9J/0qfSz9L70yvTW9OP08PT+9Qz1G/Uq9Tr1SvVa9Wv1ffWO9aH1s/XG9dn17PYA9hP2J/Y79k/2ZPZ39ov2n/ay9sX22Pbq9vv3DPcc9yv3OfdG91L3Xfdn92/3dvd894H3g/eF94X3hPeC9373efdz92v3Y/da91D3Rfc59y33IfcV9wj2+/bu9uL21vbK9r/2tfar9qL2mvaT9oz2h/aC9n/2fPZ69nj2ePZ49nj2efZ79n32f/aA9oL2hPaF9of2h/aH9of2hvaE9oH2ffZ59nT2bvZn9mD2WPZQ9kf2PfY09ir2IPYX9g72BfX99fb17/Xq9eb14/Xi9eL15PXo9e719vYA9gv2GfYp9jr2TvZj9nr2k/au9sn25vcE9yP3Q/dj94T3pffG9+b4B/gn+Eb4ZPiB+Jz4t/jQ+Of4/fkR+ST5NPlD+VD5W/lk+Wz5cvl2+Xn5evl6+Xn5d/l0+XD5a/lm+WD5WvlU+U75SPlD+T35OPkz+S/5K/ko+Sb5JPkj+SP5I/kk+SX5J/kq+S35MPk0+Tj5PPlB+UX5SvlP+VP5WPlc+WD5ZPln+Wr5bflv+XH5c/l1+Xb5dvl3+Xf5d/l3+Xf5d/l2+Xb5dvl2+Xb5dvl2+Xf5d/l4+Xr5fPl9+YD5gvmF+Yn5jPmQ+ZT5mPmc+aH5pfmq+a75s/m3+bv5wPnD+cf5yvnO+dD50/nV+df52PnZ+dr52vna+dn52fnY+df51fnU+dL50PnO+cz5yvnJ+cf5xfnE+cP5wvnB+cH5wPnB+cH5wvnD+cT5xvnH+cn5zPnO+dH50/nW+dn52/ne+eH54/nm+dD50PnQ+dD50PnQ+c/5z/nO+cz5y/nJ+cf5xvnD+cH5v/m9+bv5ufm3+bT5svmx+a/5rvmt+az5rPms+az5rfmu+a/5sfmz+bb5ufm8+cD5xPnI+c350vnX+dz54vnn+e358vn4+f36A/oI+g36EvoW+hv6H/oi+ib6Kfor+i76L/ox+jL6M/oz+jT6NPoz+jP6M/oy+jH6MPow+i/6L/ou+i76Lvov+i/6MPoy+jP6Nfo4+jv6PvpC+kb6S/pQ+lb6XPpi+mj6b/p2+n76hfqN+pX6nfql+q36tfq9+sX6zfrV+t365Prs+vP6+vsA+wf7DfsU+xn7H/sl+yr7L/s0+zn7PftC+0b7S/tP+1P7V/tb+1/7Y/tn+2v7b/tz+3f7e/t++4L7hvuJ+437kPuU+5f7mvud+6D7ovuk+6b7qfuq+6z7rfuu+677r/uv+6/7rvuu+637q/uq+6j7pvuk+6H7n/uc+5n7lvuT+4/7jPuI+4X7gft++3r7d/tz+3D7bPtp+2X7Yvtf+1z7WftW+1P7UftO+0z7SftH+0X7Q/tB+z/7Pvs8+zr7Ofs4+zb7Nfs0+zL7Mfsw+y/7Lvst+yz7K/sq+yn7KPsn+yb7JPsk+yL7Ifsg+x/7Hvsd+xv7GvsZ+xj7FvsV+xP7EvsQ+w/7DfsL+wr7CPsG+wT7AvsA+v76+/r5+vf69fry+u/67frq+uf65fri+t762/rY+tX60frO+sr6xvrC+r76uvq1+rH6rPqo+qP6nvqY+pP6jvqI+oL6fPp1+m/6aPpi+lv6VPpM+kX6Pfo1+i36Jfod+hX6DPoD+fv58vnp+d/51vnN+cT5uvmx+af5nvmV+Yv5gfl4+W75ZPlb+VH5SPk++TT5K/kh+Rf5DvkE+Pr48fjn+N741PjK+MH4t/it+KT4mviR+If4ffh0+Gr4YfhX+E74Rfg7+DL4Kfgg+Bf4DvgF9/339Pfs9+T32/fT98z3xPe897X3rfem95/3mPeR94r3hPd993b3cPdp92P3XPdW90/3SPdC9zv3NPct9yb3H/cX9xD3CfcB9vn28fbp9uD22PbP9sf2vva19qz2ovaZ9pD2hvZ99nP2afZg9lb2TPZC9jn2L/Yl9hv2EfYI9f719PXq9eH11/XN9cP1uvWw9ab1nPWS9Yj1fvV09Wr1YPVV9Uv1QfU29Sv1IPUV9Qr0//T09Oj03fTR9Mb0uvSu9KL0lvSK9H70cvRm9Fn0TfRB9DX0KfQd9BH0BvP68+7z4/PY88zzwfO386zzofOX843zg/N583DzZ/Nd81XzTPNE8zvzM/Mr8yTzHPMV8w7zB/MB8vvy9fLv8uny5PLe8tny1PLQ8svyx/LD8r/yu/K48rXysfKu8qzyqfKm8qTyovKg8p7ynPKa8pjylvKU8pPykfKP8o3yi/KJ8ofyhfKC8oDyffJ68nfydPJx8m7yavJm8mLyXvJa8lXyUPJM8kfyQvI98jjyM/Iu8inyJfIg8hvyF/IT8g/yC/IH8gTyAfH+8fvx+fH38fXx9PHz8fLx8fHx8fDx8PHw8fDx8PHw8fHx8fHx8fHx8PHw8e/x7vHt8evx6fHn8eTx4fHe8drx1vHS8c3xyPHD8b3xuPGy8avxpfGf8ZjxkvGM8YXxf/F58XTxbvFp8WXxYPFd8VnxVvFT8VHxUPFP8U7xTvFO8U/xUPFS8VTxVvFZ8VzxX/Fj8Wbxa/Fv8XPxePF98YLxh/GM8ZLxmPGd8aPxqfGw8bbxvfHE8czx1PHc8eTx7fH38gDyCvIV8iDyLPI38kTyUPJd8mryePKG8pTyovKw8r7yzPLa8ufy9fMB8w7zGfMk8y/zOPNB80jzT/NU81nzXPNf82DzYPNf81zzWfNU80/zSfNB8znzMfMn8x3zE/MI8v3y8vLn8tzy0fLG8rvysfKn8p7ylvKO8ofygPJ68nXycfJt8mryaPJm8mXyZPJk8mTyZPJl8mbyZvJn8mfyaPJo8mfyZvJl8mPyYPJd8ljyVPJO8kfyQPI48i/yJfIb8hDyBPH38erx3fHP8cDxsfGi8ZPxhPF08WXxVfFG8TfxKPEa8Qzw/vDx8OTw2PDM8MHwtvCs8KLwmfCQ8IjwgfB58HPwbPBm8GHwXPBX8FLwTvBK8EbwQ/BA8D3wOvA48DXwM/Ax8DDwLvAt8CzwLPAr8CvwK/As8C3wLvAv8DHwNPA28DnwPPBA8ETwSPBN8FHwV/Bc8GLwaPBu8HXwfPCD8IrwkfCZ8KDwqPCw8LfwwPDI8NDw2PDg8Onw8fD68QLxC/EU8R3xJvEw8TnxQ/FM8VbxYPFr8XXxgPGK8ZXxoPGr8bbxwfHM8dfx4vHt8ffyAvIM8hXyHvIn8i/yN/I+8kTySfJO8lLyVfJX8ljyWPJX8lbyVPJQ8kzyR/JC8jvyNPIt8iXyHfIU8gvyA/H68fHx6fHh8drx0/HN8cjxxPHB8b/xvvG/8cDxw/HI8c3x1fHd8efx8vH/8gzyG/Iq8jvyTPJe8nHyhPKX8qvyvvLS8uTy9/MJ8xrzKvM580fzVPNg82rzc/N684DzhPOH84jzh/OG84LzfvN483HzafNh81fzTfND8zjzLfMi8xjzDfME8vvy8/Lr8uXy4PLd8tvy2vLb8t3y4fLn8u7y9/MC8w7zG/Mq8zvzTPNe83LzhvOb87Hzx/Pd8/P0CvQg9Db0S/Rg9HT0h/Sa9Kv0u/TK9Nj05fTx9Pv1BPUM9RP1GPUd9SD1I/Ul9Sb1JvUm9SX1JPUi9SH1H/Ue9R31HPUb9Rv1G/Uc9R71IPUi9Sb1KvUv9TX1O/VC9Ur1UvVa9WP1bPV29YD1ivWT9Z31pvWv9bj1wPXH9c711PXZ9d314PXj9eT15PXj9eH13vXZ9dP1zfXF9b31s/Wo9Z31kfWE9Xf1afVb9Uz1PfUv9SD1EfUC9PT05vTY9Mv0vvSz9Kf0nfSU9Iv0hPR99Hj0c/Rw9G70bPRs9G70cPRz9Hj0ffSE9Iz0lPSe9Kn0tPTB9M703fTs9Pz1DPUd9S/1QvVV9Wn1ffWR9ab1vPXR9ef1/fYT9in2P/ZV9mv2gPaV9qr2v/bS9ub2+PcK9xz3LPc790n3V/dj9273ePeB94j3j/eU95f3mveb95v3mveY95X3kfeL94X3fvd29273Zfdb91H3R/c89zH3J/cc9xL3B/b99vT26vbi9tn20vbK9sT2vva49rP2r/ar9qj2pfai9qD2nvac9pv2mfaX9pb2k/aR9o/2jPaI9oX2gPZ79nb2cPZp9mL2WvZS9kn2QPY39i32I/YZ9g/2BvX89fP16vXi9dv11fXP9cv1yPXG9cb1x/XK9c711PXc9eb18vX/9g72H/Yy9kb2XPZz9oz2pvbC9t72+/ca9zj3V/d395f3tvfW9/X4FPgy+FD4bPiI+KP4vPjU+Ov5APkU+Sb5N/lG+VT5YPlr+XT5fPmD+Yj5jPmO+ZD5kfmR+ZD5j/mN+Yr5h/mE+YD5ffl5+Xb5cvlv+Wz5aflm+WT5Yvlh+WD5X/le+V75X/lf+WD5Yflj+WT5Zvlo+Wr5bPlu+XD5cvl0+Xb5ePl6+Xv5ffl++X/5gPmB+YH5gvmC+YP5g/mD+YP5g/mD+YP5gvmD+YP5g/mD+YP5hPmF+YX5hvmH+Yn5ivmM+Y75j/mR+ZT5lvmY+Zr5nfmf+aH5pPmm+aj5qvmt+a75sPmy+bP5tfm2+bf5uPm5+br5uvm6+bv5u/m7+bv5u/m7+bv5uvm6+br5uvm6+br5uvm6+bv5u/m8+b35vfm++b/5wPnB+cP5xPnF+cb5yPnJ+cr5y/nN+c75z/nP+X75fvl9+X35fPl8+Xv5evl5+Xj5d/l2+XX5dPlz+XL5cflw+W/5b/lu+W75bvlu+W75b/lw+XH5c/l0+Xb5ePl7+X75gfmE+Yj5jPmQ+ZT5mfme+aL5p/ms+bH5t/m8+cH5xvnK+c/51PnY+d354fnk+ej56/nu+fH59Pn2+ff5+fn6+fv5/Pn8+f35/fn9+f35/Pn8+fz5+/n7+fr5+vn6+fr5+vn6+fv5/Pn9+f76APoC+gT6B/oK+g76EfoV+hr6H/ok+in6L/o0+jv6QfpH+k76Vfpc+mP6avpx+nj6f/qG+o36lPqb+qH6qPqu+rT6uvrA+sb6zPrR+tb62/rg+uT66frt+vH69fr5+v37APsD+wf7CvsN+xD7E/sV+xj7Gvsd+x/7Ifsk+yb7KPsp+yv7Lfsu+y/7Mfsy+zP7M/s0+zT7Nfs1+zX7NPs0+zP7Mvsx+zD7L/st+yz7Kvso+yb7I/sh+x77HPsZ+xb7E/sQ+w37CvsH+wT7APr9+vr69/r0+vH67vrr+uj65fri+uD63frb+tn61vrU+tL60PrO+sz6y/rJ+sj6xvrF+sP6wvrB+sD6vvq9+rz6u/q6+rn6uPq3+rb6tfq0+rP6sfqw+q/6rvqs+qv6qvqo+qb6pfqj+qH6oPqe+pz6mvqY+pb6k/qR+o/6jPqK+of6hfqC+oD6ffp6+nf6dPpx+m76a/po+mX6Yvpe+lv6WPpU+lH6TfpJ+kb6Qvo++jr6Nvoy+i36Kfok+iD6G/oW+hH6DPoH+gL5/Pn3+fH56/nl+d/52PnS+cv5xfm++bf5r/mo+aH5mfmR+Yr5gvl6+XL5avlh+Vn5UflI+T/5N/ku+SX5HfkU+Qv5Avj5+PD45/je+NX4zPjD+Lr4sfio+J/4lviN+IT4e/hy+Gn4YPhX+E/4Rvg9+DT4K/gj+Br4EfgJ+AD3+Pfv9+f33/fX98/3x/e/97f3sPeo96H3mfeS94v3g/d893b3b/do92H3W/dU9073R/dB9zr3NPcu9yf3Ifca9xT3DfcH9wD2+vbz9uz25fbe9tf20PbJ9sH2ufay9qr2ovaa9pL2ivaB9nn2cPZn9l/2VvZN9kT2O/Yy9in2IPYW9g32BPX69fH16PXe9dX1zPXC9bn1r/Wm9Z31k/WK9YD1d/Vt9WT1WvVR9Uf1PfU09Sr1IPUW9Qz1AvT49O705PTa9ND0xfS79LH0pvSc9JL0h/R89HL0Z/Rd9FL0SPQ99DP0KPQe9BT0CvQA8/bz7PPi89jzz/PG87zzs/Oq86LzmfOR84jzgPN583HzavNi81vzVPNN80fzQfM68zTzL/Mp8yTzHvMZ8xTzD/ML8wbzAvL+8vry9vLy8u/y6/Lo8uTy4fLe8tvy2PLV8tPy0PLN8sryyPLF8sLywPK98rvyuPK18rLysPKt8qryp/Kk8qDynfKa8pfyk/KQ8ozyiPKE8oHyffJ58nXycfJt8mnyZfJh8l3yWfJW8lLyTvJL8kjyRPJB8j7yPPI58jfyNPIy8jHyL/It8izyK/Ip8ijyKPIn8ibyJfIl8iTyJPIj8iLyIfIh8iDyH/Id8hzyGvIY8hbyFPIR8g/yC/II8gXyAfH98fnx9PHv8evx5vHh8dvx1vHR8czxxvHB8bzxt/Gy8a3xqPGk8aDxnPGZ8Zbxk/GQ8Y7xjfGM8YvxivGK8YvxjPGN8Y/xkfGU8ZbxmvGe8aLxpvGr8bDxtvG78cHxyPHP8dbx3fHk8ezx8/H88gTyDPIV8h7yJ/Iw8jryQ/JN8lfyYfJr8nXyf/KJ8pTynvKo8rLyvfLH8tDy2vLk8u3y9vL+8wbzDvMW8x3zI/Mp8y/zM/M48zvzPvNB80LzQ/NE80TzQ/NB8z/zPfM68zbzMvMt8ynzJPMe8xjzEvMM8wbzAPL68vTy7vLo8uLy3PLX8tLyzfLJ8sXywfK+8rryt/K18rPysfKv8q7yrPKr8qryqfKo8qfypvKl8qTyovKh8p/ynfKb8pjylPKR8o3yiPKD8n7yePJy8mzyZPJd8lXyTfJE8jvyMvIo8h/yFfIK8gDx9vHr8eHx1vHM8cHxt/Gt8aPxmfGP8YbxffF08WvxYvFa8VLxSvFD8TvxNPEu8SfxIfEb8RXxEPEK8QXxAPD88Pfw8/Dv8Ovw6PDl8OLw3/Dc8Nrw2PDW8NXw0/DS8NLw0fDS8NLw0/DU8NXw1/DZ8Nzw3/Di8Obw6vDv8PPw+fD+8QTxC/ER8RjxIPEn8S/xN/FA8UnxUvFb8WTxbvF48YPxjfGY8aPxrvG58cTx0PHb8efx8/H/8gvyGPIk8jDyPPJI8lTyYPJs8njyhPKP8prypfKv8rnyw/LM8tTy3PLj8ury8PL18vny/fMA8wLzA/MD8wLzAfL+8vvy9vLy8uzy5fLe8tbyzfLE8rvysfKn8p3yk/KI8n7ydPJq8mHyWPJQ8knyQvI88jfyM/Ix8i/yL/Iv8jHyNfI58j/yRvJO8ljyYvJu8nryiPKW8qXytfLF8tXy5vL38wjzGfMq8zrzSvNZ82jzdfOC847zmPOh86rzsfO287vzvfO/87/zvvO887nztPOu86jzoPOY84/zhvN883LzaPNe81TzS/NB8znzMfMp8yPzHvMa8xfzFfMV8xbzGPMc8yHzKPMw8znzRPNQ813za/N784vznPOu88Hz1PPo8/z0D/Qj9Df0S/Re9HH0g/SV9Kb0tvTF9NT04fTt9Pj1AvUL9RP1GvUg9ST1KPUr9S31LvUv9S71LfUs9Sr1KPUm9SP1IfUe9Rz1GfUX9Rb1FPUT9RL1EvUS9RP1FPUW9Rj1G/Ue9SL1JvUr9S/1NPU69T/1RPVK9VD1VfVa9V/1ZPVo9Wz1b/Vy9XT1dvV39Xf1d/V29XT1cvVv9Wv1ZvVh9Vv1VfVO9Ub1PvU29S31JPUb9RH1CPT+9PT06/Ti9Nj00PTH9L/0uPSx9Kv0pfSg9Jz0mfSW9JX0lPSU9JX0l/Sa9J70o/Sp9LD0uPTA9Mr01fTg9O30+vUI9Rf1JvU29Uf1WPVq9X31j/Wj9bb1yvXe9fL2B/Yb9i/2Q/ZX9mv2f/aR9qT2tvbI9tn26fb49wf3Ffci9y73OfdD9033Vfdc92L3Z/dr9273cPdx93H3cPdu92v3aPdj9173WfdS90z3Rfc99zX3Lfcl9xz3FPcL9wP2+/bz9uv24/bb9tT2zvbH9sH2vPa29rH2rfao9qT2oPad9pn2lvaT9o/2jPaJ9ob2gvZ+9nr2dvZx9m32Z/Zi9lz2VfZO9kf2QPY49jD2KPYf9hf2DvYF9f319PXs9eT13fXW9dD1yvXF9cH1vvW89bz1vPW+9cD1xfXK9dH12vXk9e/1/PYK9hr2KvY89lD2ZfZ69pH2qPbB9tr28/cN9yj3Qvdd93j3k/et98f34ff6+BP4KvhB+Fj4bfiB+JT4pvi3+Mf41fjj+O/4+vkE+Qz5FPkb+SD5Jfkp+Sz5Lvkw+TH5Mfkx+TD5L/ku+S35K/kp+Sj5Jvkk+SL5Ifkf+R75Hfkc+Rz5G/kb+Rz5HPkd+R75H/kg+SL5I/kl+Sf5Kfkr+S75MPky+TX5N/k5+Tv5Pfk/+UH5Q/lF+Uf5SPlK+Uv5TPlN+U75T/lQ+VH5UflS+VP5U/lU+VT5VPlV+VX5VvlW+Vb5V/lX+Vj5WPlZ+Vn5Wvla+Vv5W/lc+V35Xfle+V/5X/lg+WH5Yfli+WP5Y/lk+WX5Zflm+Wf5Z/lo+Wn5avlq+Wv5bPlt+W35bvlv+XD5cfly+XP5c/l0+XX5dvl3+Xj5efl6+Xr5e/l8+X35ffl9+X75fvl++X75fvl++On46Pjo+Of45/jm+Ob45fjl+OX45fjl+OX45fjl+OX45vjn+Oj46fjq+Oz47vjw+PL49fj4+Pv4/vkC+Qb5CvkO+RP5GPkd+SL5KPkt+TP5Ofk/+UX5S/lR+Vf5Xflj+Wn5b/l1+Xr5gPmF+Yr5jvmT+Zf5m/mf+aL5pfmo+ar5rfmv+bD5svmz+bT5tfm1+bb5tvm2+bb5tvm2+bb5tvm2+bb5tvm3+bf5t/m4+bn5uvm7+b35v/nB+cP5xvnJ+cz5z/nT+df52/ng+eT56fnv+fT5+fn/+gX6C/oR+hf6Hfoj+ir6MPo2+jz6QvpI+k76VPpa+l/6Zfpq+m/6dPp5+n36gvqG+or6jfqR+pT6l/qa+p36n/qh+qP6pfqn+qj6qfqq+qv6rPqs+qz6rPqs+qz6rPqr+qr6qvqo+qf6pvql+qP6ovqg+p76nPqa+pj6lfqT+pH6jvqM+on6h/qE+oH6f/p8+nr6d/p0+nL6b/pt+mr6aPpm+mT6Yfpg+l36XPpa+lj6V/pV+lT6U/pR+lD6T/pP+k76TfpM+kz6S/pL+kr6SvpK+kn6SfpJ+kn6SPpI+kj6R/pH+kb6RvpF+kT6Q/pD+kL6QPo/+j76PPo7+jn6N/o1+jP6MPou+iv6Kfom+iP6IPoc+hn6FvoS+g76C/oH+gP5//n7+ff58vnu+er55fnh+dz52PnT+c/5yvnG+cH5vfm4+bT5r/mr+ab5ofmd+Zj5lPmP+Yv5hvmC+X35efl0+XD5a/lm+WL5XflY+VT5T/lK+UX5QPk7+Tb5MPkr+Sb5IPkb+RX5EPkK+QT4/vj4+PL47Pjm+OD42fjT+M34xvi/+Ln4svir+KX4nviX+JD4ifiC+Hv4c/hs+GX4XvhX+E/4SPhB+Dn4Mvgr+CP4HPgU+A34Bvf+9/f37/fo9+D32ffS98r3w/e797T3rfel9573l/eQ94j3gfd693P3bPdl9173V/dQ90n3Qvc79zX3Lvcn9yD3GfcT9wz3Bfb+9vj28fbq9uP23PbV9s/2yPbB9rn2svar9qT2nfaV9o72hvZ/9nf2b/Zn9l/2V/ZP9kf2P/Y29i72JfYd9hT2DPYD9fr18fXp9eD11/XO9cX1vPWz9ar1ofWY9Y/1hvV99XT1a/Vi9Vn1UPVH9T71NfUs9SP1GvUR9Qj0//T39O705fTc9NP0y/TC9Ln0sPSn9J/0lvSN9IT0fPRz9Gv0YvRZ9FH0SPRA9Dj0L/Qn9B/0F/QP9Afz//P38/Dz6PPh89nz0vPL88TzvfO286/zqfOi85zzlvOQ84rzhfN/83nzdPNv82rzZPNg81vzVvNS803zSfNE80DzPPM48zTzMPMs8yjzJfMh8x3zGvMW8xPzD/MM8wjzBfMC8v7y+/L38vTy8fLt8ury5vLj8uDy3PLZ8tXy0vLO8svyx/LE8sDyvfK58rbysvKv8qvyqPKl8qHynvKb8pfylPKR8o7yi/KI8oXyg/KA8n7ye/J58nfydfJz8nHyb/Jt8mzyavJp8mjyZ/Jl8mTyY/Ji8mHyYfJg8l/yXvJd8lzyW/Ja8lnyV/JW8lXyU/JR8lDyTvJL8knyR/JE8kHyPvI78jjyNfIx8i7yKvIm8iPyH/Ib8hfyE/IP8gvyB/IE8gDx/PH58fbx8vHv8e3x6vHo8ebx5PHj8eHx4PHg8d/x3/Hg8eDx4fHi8eTx5vHo8erx7fHw8fPx9/H78f/yA/II8g3yEvIX8hzyIvIn8i3yM/I58j/yRvJM8lPyWfJg8mfybfJ08nvygvKJ8pDylvKd8qTyq/Kx8rfyvvLE8sry0PLW8tzy4vLn8uzy8fL18vry/vMC8wXzCPML8w7zEPMS8xTzFfMW8xfzGPMY8xfzF/MW8xXzFPMS8xDzDvMM8wnzB/ME8wHy/vL78vjy9fLx8u7y6/Ln8uTy4PLd8tny1vLT8tDyzfLJ8sbyw/LA8r7yu/K48rXysvKv8q3yqvKn8qTyovKf8pzymfKW8pPykPKN8oryh/KE8oHyffJ68nfyc/Jw8mzyafJl8mHyXvJa8lbyU/JP8kvyR/JE8kDyPPI58jXyMfIu8iryJvIi8h/yG/IX8hPyD/IM8gjyA/H/8fvx9/Hz8e/x6vHm8eHx3fHY8dTxz/HK8cXxwfG88bfxsvGu8anxpfGh8ZzxmPGU8ZHxjfGK8YfxhfGC8YDxf/F+8X3xffF98X3xfvGA8YLxhPGI8Yvxj/GU8Znxn/Gl8avxs/G78cPxy/HV8d7x6PHz8f7yCfIV8iHyLfI68kbyU/Jh8m7yfPKJ8pfypfKy8sDyzvLb8ujy9fMC8w7zG/Mm8zLzPfNH81HzWvNj82rzcvN4837zg/OH84vzjfOP85DzkPOP843zi/OI84Pzf/N583PzbPNk81zzU/NK80HzN/Mt8yPzGfMP8wXy+/Lx8ujy3/LW8s7yx/LB8rvytvKy8q/yrfKs8qzyrfKv8rLyt/K88sLyyvLS8tvy5fLw8vzzCPMV8yLzMPM+803zW/Np83jzhvOU86HzrvO688bz0fPb8+Tz7PPz8/nz/vQC9AX0B/QH9Af0BfQC8/7z+vP08+7z5/Pf89bzzfPE87vzsfOn857zlPOL84LzevNy82rzZPNe81rzVvNT81LzUfNS81TzVvNb82DzZvNu83fzgPOL85fzo/Ox877zzfPc8+zz/PQM9Bz0LfQ99E30XfRt9Hz0i/SZ9Kf0tPTA9Mz01vTg9On08fT49P/1BPUI9Qz1D/UR9RL1E/UT9RL1EPUP9Qz1CfUG9QP0//T79Pf08/Tv9Ov05/Tk9OD03PTZ9Nb01PTR9M/0zfTM9Mv0yvTJ9Mn0yfTJ9Mn0yvTL9Mz0zfTO9M/00PTR9NP01PTV9Nb01/TX9Nj02PTY9Nj02PTY9Nf01vTV9NT00/TR9ND0zvTN9Mv0yfTH9MX0xPTC9MD0v/S+9L30vfS89Lz0vfS+9L/0wPTD9MX0yPTM9ND01fTb9OH05/Tu9Pb0//UI9RH1G/Um9TH1PfVJ9Vb1Y/Vx9X/1jvWd9az1u/XK9dr16vX69gr2GvYq9jr2SfZZ9mj2d/aG9pT2ovav9rz2yPbU9t/26fbz9vz3BPcM9xP3Gfce9yP3J/cq9yz3Lvcu9y/3Lvct9yv3Kfcm9yP3H/cb9xb3EfcM9wb3APb69vT27vbn9uH22/bU9s72yPbC9rz2tvax9qv2pvah9pv2l/aS9o32iPaE9n/2e/Z29nH2bfZo9mP2XvZZ9lT2T/ZJ9kP2PfY39jH2KvYj9hz2FfYN9gb1//X39e/16PXg9dn10vXL9cT1vvW49bL1rvWp9ab1o/Wh9Z/1n/Wf9aH1o/Wm9av1sPW39b71x/XQ9dv15vXz9gH2D/Ye9i72P/ZQ9mL2dfaI9pv2r/bD9tf26/b/9xT3J/c790/3Yvd094f3mPep97n3yffY9+b39PgA+Az4F/gi+Cv4NPg8+EP4SvhQ+FX4Wvhe+GH4ZPhn+Gn4a/ht+G74b/hw+HH4cvhy+HP4dPh0+HX4dvh3+Hn4evh8+H74gPiC+IT4h/iK+I34kPiU+Jf4m/if+KP4p/ir+K/4s/i3+Lv4v/jD+Mf4y/jP+NP41vja+N344Pjj+OX46Pjq+Oz47vjw+PH48/j0+PX49vj2+Pf49/j3+Pf49/j3+Pf49vj2+PX49Pj0+PP48vjx+PD48Pjv+O747fjs+Oz46/jq+On46fjo+Oj45/jn+Of45/jm+Ob45vjm+Ob45vjn+Of45/jn+Of46Pjo+Oj46fjp+On46vjq+Or46vjq+Ov46/jr+Ov46/jr+Or46vjq+Or46fjp+FH4UPhQ+FD4UPhQ+FD4UPhQ+FH4UfhS+FP4VfhW+Fj4Wvhc+F/4Yvhk+Gj4a/hv+HP4d/h8+IH4hviL+JH4lvic+KP4qfiw+Lb4vfjE+Mv40vjZ+OH46Pjv+Pb4/fkE+Qv5EfkY+R/5Jfkr+TD5Nvk7+UD5RflJ+U35UflV+Vj5W/le+WD5Yvlk+Wb5Z/lo+Wn5avlr+Wv5a/lr+Wz5bPlr+Wv5a/lr+Wv5a/lr+Wz5bPlt+W35bvlv+XD5cvl0+Xb5ePl6+X35gPmD+Yb5ivmO+ZH5lvma+Z/5pPmo+a75s/m4+b35w/nI+c750/nZ+d/55Pnp+e/59Pn5+f76A/oI+gz6EPoU+hj6HPof+iL6Jfoo+ir6LPou+jD6Mfoy+jL6M/oz+jP6Mvoy+jH6L/ou+iz6Kvoo+ib6JPoh+h76G/oY+hX6EvoO+gv6B/oE+gD5/Pn5+fX58vnu+ev55/nk+eD53fna+df51fnS+dD5zfnL+cn5x/nG+cX5w/nC+cH5wfnA+cD5wPnA+cD5wPnA+cH5wvnC+cP5xPnF+cb5x/nJ+cr5y/nM+c35zvnP+dD50fnS+dL50/nT+dP50/nT+dP50vnR+dD5z/nN+cz5yvnI+cX5wvnA+bz5ufm1+bL5rvmp+aX5oPmb+Zb5kfmL+Yb5gPl6+XT5bvlo+WL5XPlV+U/5SPlC+Tv5Nfku+Sj5Ifkb+RX5DvkI+QL4/Pj2+PD46vjk+N742fjT+M74yPjD+L74ufi0+K/4qvil+KH4nPiY+JP4j/iL+Ib4gvh++Hr4dfhx+G34afhl+GH4XPhY+FT4UPhM+Ej4Q/g/+Dv4Nvgy+C34Kfgk+CD4G/gX+BL4DfgI+AT3//f69/X38Pfr9+b34Pfb99b30ffL98b3wfe797b3sPer96X3n/ea95T3jveI94L3fPd393H3a/dl91/3WPdS90z3RvdA9zr3NPct9yf3Ifca9xT3DfcH9wH2+vb09u325vbg9tn20vbL9sX2vva39rD2qfai9pv2k/aM9oX2ffZ29m72Z/Zf9lf2UPZI9kD2OPYw9ij2IPYX9g/2B/X+9fb17fXl9dz10/XL9cL1ufWw9aj1n/WW9Y31hfV89XP1avVh9Vj1UPVH9T71NvUt9ST1HPUT9Qv1AvT69PL06fTh9Nn00fTJ9MH0ufSx9Kn0ofSa9JL0i/SD9Hz0dPRt9Gb0X/RY9FD0SvRD9Dz0NfQv9Cj0IfQb9BX0D/QI9ALz/PP28/Hz6/Pl8+Dz2vPV89DzyvPF88Dzu/O387LzrfOp86TzoPOb85fzk/OP84rzh/OC83/ze/N383PzcPNs82jzZfNh817zWvNX81PzUPNM80nzRvNC8z/zO/M48zTzMfMu8yrzJ/Mj8yDzHPMZ8xbzEvMP8wvzCPME8wHy/fL68vby8/Lw8uzy6fLm8uLy3/Lc8tny1vLS8tDyzfLK8sfyxPLC8r/yvPK68rjytfKz8rHyr/Kt8qvyqfKo8qbypPKj8qLyoPKf8p7ynPKb8prymfKY8pfylfKU8pPykvKR8pDyj/KO8ozyi/KK8ojyh/KF8oTygvKA8n7yffJ78nnyd/J08nLycPJu8mvyafJm8mTyYfJf8lzyWvJX8lXyUvJQ8k7yS/JJ8kfyRfJD8kHyQPI+8j3yPPI68jryOfI48jjyN/I38jfyOPI48jnyOfI68jvyPfI+8kDyQfJD8kXyR/JK8kzyTvJR8lTyV/Ja8l3yYPJj8mbyavJt8nHydPJ48nzygPKD8ofyi/KP8pPymPKc8qDypPKp8q3ysfK28rryvvLD8sfyzPLQ8tXy2fLd8uLy5vLq8u/y8/L38vvy/vMC8wbzCfMM8w/zEvMV8xjzGvMd8x/zIPMi8yPzJPMl8ybzJvMm8ybzJvMl8yTzI/Mi8yDzHvMc8xrzF/MV8xLzD/ML8wjzBPMB8v3y+fL18vHy7fLp8uTy4PLc8tfy0/LP8svyx/LD8r/yu/K38rTysPKt8qryp/Kk8qLyoPKd8pvymvKY8pfylfKV8pTyk/KT8pPyk/KT8pPyk/KU8pTylfKV8pbyl/KY8pjymfKa8prym/Kb8pvym/Kb8pvymvKZ8pjyl/KV8pPykfKP8ozyifKG8oLyf/J68nbycvJt8mjyY/Jd8ljyUvJN8kfyQfI78jbyMPIq8iXyIPIb8hbyEfIN8gryBvID8gDx/vH88fvx+/H78fvx/PH+8gHyBPIH8gzyEfIW8hzyI/Ir8jPyPPJF8k/yWfJk8m/ye/KH8pTyofKu8rzyyfLX8uXy9PMC8xDzHvMs8zrzR/NV82Lzb/N784fzkvOe86jzsvO788Pzy/PS89nz3vPj8+fz6/Pt8+/z8PPw8+/z7vPs8+nz5fPh89zz1vPQ88rzw/O787Pzq/Oj85vzkvOK84HzefNx82nzYfNa81PzTfNH80LzPfM58zbzNPMy8zHzMfMy8zTzN/M68z7zRPNK81DzWPNg82nzcvN884bzkfOc86jzs/O/88vz1/Pj8+7z+fQE9A/0GfQi9Cv0M/Q79EL0SPRN9FH0VPRW9Fj0WPRY9Fb0VPRR9E30SPRD9D30NvQv9Cf0HvQW9A30BPP68/Hz6PPe89bzzfPF873ztfOv86nzo/Of85vzmPOW85TzlPOU85bzmfOc86DzpvOs87PzuvPD88zz1vPh8+zz9/QD9A/0HPQp9Db0QvRP9Fz0afR19IH0jfSY9KP0rfS39MD0yPTQ9Nf03vTj9Oj07PTw9PL09PT19Pb09vT19PP08fTu9Ov05/Tj9N702fTU9M70yfTD9L30tvSw9Kr0o/Sd9Jf0kfSL9IX0gPR69HX0cfRs9Gj0ZPRg9F30WvRX9FX0U/RR9FD0T/RP9E70TvRO9E/0UPRR9FL0U/RV9Ff0WfRc9F/0YfRl9Gj0a/Rv9HP0d/R79ID0hPSJ9I70k/SY9J70pPSq9LD0tvS99MT0y/TS9Nr04vTq9PL0+vUD9Qz1FvUf9Sn1M/U99Uj1U/Ve9Wn1dPWA9Yv1l/Wj9a/1vPXI9dX14fXu9fr2B/YT9h/2LPY49kT2UPZb9mf2cvZ99of2kvac9qX2r/a39sD2yPbP9tb23Pbi9uj27fbx9vX2+fb89v73APcC9wL3A/cD9wL3AvcA9v72/Pb69vf29Pbx9u326fbl9uD23PbX9tL2zfbI9sL2vfa39rL2rPam9qD2mvaU9o72iPaC9nz2dfZv9mn2YvZc9lX2TvZH9kD2OfYy9iv2JPYc9hX2DfYG9f719/Xv9ef13/XY9dD1yPXB9br1s/Ws9aX1nvWY9ZP1jfWI9YT1gPV89Xn1d/V19XT1dPV09XX1d/V59Xz1gPWF9Yv1kfWY9Z/1qPWx9bv1xvXR9dz16fX19gL2EPYe9iz2O/ZK9ln2aPZ39ob2lfak9rP2wvbR9t/27fb79wj3Ffch9y33OfdE90/3Wfdi92v3dPd894T3i/eS95j3nvej96n3rfey97b3uve+98H3xPfI98v3zvfR99T31/fa99334Pfj9+b36vft9/H39ff59/34AfgG+Ar4D/gU+Bn4Hvgj+Cn4Lvgz+Dn4P/hE+Er4T/hV+Fr4X/hk+Gr4bvhz+Hj4fPiB+IT4iPiM+I/4kviV+Jj4mvic+J74n/ig+KL4ovij+KP4o/ij+KP4ovii+KH4oPie+J34nPia+Jj4lviV+JP4kfiP+I34i/iJ+If4hfiD+IH4f/h9+Hv4efh3+HX4dPhy+HD4b/ht+Gz4avhp+Gj4Zvhl+GT4Y/hh+GD4X/he+F34XPhb+Fr4WfhY+Ff4VvhV+FX4VPhT+FL4UvhR9/b39vf29/b39vf29/f3+Pf59/r3+/f99//4AfgD+Ab4CfgM+A/4E/gX+Bv4H/gk+Cn4Lvgz+Dn4PvhE+Er4UfhX+F74Zfhr+HP4eviB+Ij4j/iW+J34pfis+LP4uvjB+Mf4zvjU+Nv44fjn+Oz48fj3+Pz5APkF+Qn5DPkQ+RP5FvkZ+Rv5Hvkg+SH5I/kk+SX5Jvkm+Sf5J/kn+Sf5J/kn+Sf5J/km+Sb5Jvkm+Sb5Jvkm+Sb5Jvkn+Sf5KPkp+Sr5K/kt+S/5Mfkz+TX5OPk7+T75QflE+Uj5TPlQ+VT5WPld+WL5Zvlr+XD5dfl6+X/5hPmJ+Y75k/mX+Zz5oPml+an5rfmx+bX5ufm8+b/5wvnE+cf5yfnK+cz5zfnO+c75z/nP+c75zvnN+cv5yvnI+cb5xPnB+b/5vPm4+bX5svmu+ar5pvmi+Z75mvmW+ZL5jvmJ+YX5gfl9+Xn5dfly+W75avln+WT5Yfle+Vz5WflX+VX5U/lR+VD5T/lO+U35TflM+Uz5TPlN+U35TvlP+VD5UflS+VP5VPlW+Vf5Wfla+Vz5Xflf+WD5Yflj+WT5Zfll+Wb5Z/ln+Wf5Z/ln+Wb5Zvll+WP5Yvlg+V75XPlZ+Vb5U/lP+Uz5SPlD+T/5Ovk1+TD5Kvkl+R/5GfkS+Qz5Bfj/+Pj48fjp+OL42/jU+Mz4xfi9+Lb4r/in+KD4mfiR+Ir4g/h8+HX4bvho+GH4W/hU+E74SPhC+Dz4N/gx+Cz4J/gi+B34GPgT+A/4CvgG+AL3/vf69/b38vfu9+v35/fk9+D33ffa99b30/fQ98z3yffG98P3wPe897n3tvez97D3rPep96b3ovef95v3mPeU95H3jfeJ94b3gvd+93r3dvdy9273avdm92H3XfdZ91X3UPdM90f3Q/c+9zn3Nfcw9yv3J/ci9x33GPcT9w73CfcE9v/2+fb09u/26vbk9t/22fbU9s72yPbD9r32t/ax9qv2pfaf9pn2k/aN9ob2gPZ59nP2bPZl9l72WPZR9kr2Q/Y79jT2LfYl9h72FvYP9gf1//X49fD16PXg9dj1z/XH9b/1t/Wu9ab1nvWV9Y31hfV89XT1a/Vj9Vv1UvVK9UH1OfUx9Sj1IPUY9RD1CPUA9Pj08PTo9OD02PTQ9Mn0wfS69LL0q/Sk9J30lvSP9Ij0gfR69HT0bfRn9GD0WvRU9E70SPRC9Dz0NvQx9Cv0JvQg9Bv0FvQR9Az0B/QC8/3z+PP08+/z6/Pm8+Lz3vPa89Xz0fPN88rzxvPC877zuvO387PzsPOs86nzpfOi85/zm/OY85XzkvOP84vziPOF84Lzf/N883nzdvNz83DzbfNq82fzZPNh817zW/NY81XzUvNP80zzSfNG80PzQPM98zrzN/M08zHzLvMr8yjzJfMi8x/zHPMZ8xfzFPMR8w/zDPMJ8wfzBPMC8v/y/fL68vjy9vLz8vHy7/Lt8uvy6fLn8uXy4/Li8uDy3vLc8tvy2fLY8tby1fLT8tLy0PLP8s7yzPLL8sryyPLH8sbyxfLD8sLywfLA8r7yvfK88rvyufK48rfytfK08rPysvKw8q/yrvKs8qvyqvKp8qjyp/Kl8qTyo/Ki8qHyoPKf8p/ynvKd8pzynPKb8pvymvKa8prymvKZ8pnymfKZ8prymvKa8pvym/Kb8pzynPKd8p7ynvKf8qDyofKi8qPypPKl8qbyp/Ko8qnyq/Ks8q3yr/Kw8rLys/K18rbyuPK68rvyvfK/8sHyw/LF8sjyyvLN8s/y0vLU8tfy2vLd8uDy5PLn8uvy7vLy8vby+vL+8wLzBvMK8w/zE/MY8xzzIPMl8ynzLvMy8zfzO/M/80PzR/NL80/zU/NW81rzXfNg82LzZfNn82nzavNs823zbvNu82/zb/Nu827zbfNr82rzaPNm82TzYfNe81vzWPNU81HzTfNJ80TzQPM88zfzM/Mu8yrzJfMg8xzzGPMT8w/zC/MH8wPzAPL88vny9vLz8vHy7/Lt8uvy6fLo8ufy5/Lm8uby5vLm8ufy5/Lo8uny6vLr8u3y7vLw8vLy8/L18vby+PL58vvy/PL98v7y//L/8wDzAPMA8v/y/vL98vzy+vL48vby8/Lw8u3y6vLm8uLy3fLZ8tTyz/LK8sTyv/K58rPyrvKo8qLynPKX8pHyjPKH8oLyffJ58nXycfJu8mvyaPJm8mXyZPJk8mTyZfJm8mjya/Ju8nLyd/J88oLyiPKP8pbynvKn8rDyuvLE8s/y2vLm8vHy/fMK8xbzI/Mw8z3zSvNX82TzcfN+84rzl/Oj86/zuvPF89Dz2vPk8+3z9fP99AX0DPQS9Bf0HPQg9CT0J/Qp9Cr0K/Qr9Cv0KvQo9Cb0I/Qg9Bz0GPQU9A/0CvQF8//z+fPz8+3z6PPi89zz1vPR88zzx/PD877zu/O487XzsvOx86/zr/Ov86/zsfOy87XzuPO888DzxfPK89Dz1vPd8+Tz7PP08/z0BfQN9Bb0H/Qo9DD0OfRC9Er0UvRa9GL0afRw9Hb0fPSB9IX0ifSN9I/0kfSS9JP0k/SS9JH0jvSM9Ij0hPSA9Hv0dfRv9Gn0YvRb9FT0TPRF9D30NfQu9Cb0H/QY9BH0CvQE8/7z+fP08/Dz7fPq8+fz5vPl8+Tz5fPm8+jz6vPu8/Lz9vP79AH0CPQP9Bb0HvQm9C/0OPRB9Ev0VPRe9Gj0cvR79IX0j/SY9KH0qvSy9Lr0wvTJ9ND01vTb9OD05fTo9Oz07vTw9PH08vTy9PH08PTu9Oz06fTl9OH03fTY9NP0zfTH9MD0uvSz9Kz0pfSd9Jb0jvSH9ID0ePRx9Gr0Y/Rc9Fb0UPRK9ET0P/Q69DX0MfQu9Cr0J/Ql9CP0IfQg9CD0H/Qg9CH0IvQk9Cb0KPQr9C/0MvQ39Dv0QPRG9Ez0UvRY9F/0ZvRt9HX0ffSF9I30lvSf9Kj0sfS79MT0zvTY9OL07PT29QH1C/UW9SH1K/U29UH1TPVX9WL1bfV49YP1jvWZ9aT1r/W69cb10PXb9eb18fX89gb2EfYb9iX2MPY69kP2TfZX9mD2afZy9nr2g/aL9pP2mvai9qn2sPa29rz2wvbI9s320vbW9tr23vbh9uT25/bp9uv27Pbu9u727/bv9u/27vbt9uz26vbo9ub24/bg9t322fbV9tH2zfbI9sP2vva59rP2rfan9qH2mvaT9o32hvZ+9nf2b/Zn9l/2V/ZP9kf2P/Y29i72JfYd9hT2C/YD9fr18vXp9eH12PXQ9cj1wPW49bH1qfWi9Zz1lfWP9Yn1hPV/9Xr1dvVy9W/1bPVq9Wn1Z/Vn9Wf1aPVp9Wv1bfVx9XT1efV+9YP1ifWQ9Zf1n/Wn9bD1uvXE9c712PXj9e/1+vYG9hL2HvYr9jj2RPZR9l72a/Z39oT2kPad9qn2tfbB9sz22Pbj9u72+PcC9wz3Ffce9yf3L/c39z/3R/dO91T3Wvdh92b3bPdx93b3e/eA94T3iPeM95H3lPeY95z3oPek96f3q/ev97P3t/e79773w/fH98v3z/fU99j33ffi9+b36/fw9/X3+vf/+AT4CfgP+BT4Gfge+CP4KPgt+DL4Nvg7+D/4RPhI+Ez4UPhT+Ff4Wvhd+GD4Yvhk+Gb4aPhq+Gv4bPht+G74bvhu+G74bvhu+G34bPhr+Gr4aPhn+GX4Y/hh+F/4Xfhb+Fj4VvhT+FH4TvhL+Ej4RvhD+ED4Pfg6+Dj4Nfgy+C/4LPgq+Cf4JPgi+B/4Hfga+Bj4FfgT+BH4DvgM+Ar4CPgG+AT4A/gB9//3/vf99/v3+vf59/j39/f397/3v/fA98D3wffC98P3xPfG98f3yffL98330PfT99X32Pfc99/34/fm9+v37/fz9/j3/PgB+Ab4DPgR+Bb4HPgh+Cf4Lfgz+Dn4P/hE+Er4UPhW+Fz4Yvho+G34c/h5+H74g/iI+I34kviX+Jv4n/ik+Kf4q/iu+LL4tfi4+Lr4vfi/+MH4w/jE+Mb4x/jI+Mn4yvjL+Mv4zPjM+Mz4zPjM+M34zfjN+M34zfjN+M34zfjO+M74z/jP+ND40fjS+NP41fjW+Nj42vjc+N744Pjj+Ob46fjs+PD48/j3+Pr4/vkC+Qf5C/kP+RP5GPkc+SH5Jvkq+S/5M/k4+Tz5QPlE+Un5TPlQ+VT5V/lb+V75Yflj+WX5aPlq+Wv5bflu+W75b/lv+W/5b/lu+W75bflr+Wr5aPlm+WT5Yflf+Vz5WflW+VL5T/lL+Uj5RPlA+Tz5Ofk0+TH5Lfkp+SX5Ifkd+Rr5FvkT+RD5DPkJ+Qb5BPkB+P/4/Pj6+Pj49/j1+PT48vjx+PD48Pjv+O/47vju+O747vju+O747vjv+O/48Pjw+PD48fjx+PH48vjy+PL48vjy+PL48vjx+PD48Pjv+O747Pjr+On45/jl+OP44Pjd+Nr41/jU+ND4zPjI+MT4v/i7+Lb4sfis+Kb4ofib+Jb4kPiK+IT4ffh3+HH4a/hk+F74WPhR+Ev4RPg++Dj4Mfgr+CX4H/gZ+BP4DfgI+AL3/ff39/L37ffo9+P33vfa99X30ffM98j3xPfA97z3ufe197H3rver96f3pPeh9533mveX95T3kfeO94v3ifeG94P3gPd993r3d/d093H3bvdr92j3Zfdh9173W/dX91T3UPdN90n3RvdC9z73O/c39zP3L/cr9yf3I/cf9xv3F/cT9w73CvcG9wH2/fb59vT28Pbr9uf24vbd9tn21PbQ9sv2xvbB9r32uPaz9q72qfal9qD2m/aW9pH2jPaH9oH2fPZ39nL2bfZn9mL2XPZX9lH2TPZG9kD2OvY09i72KfYi9hz2FvYQ9gn2A/X89fb17/Xp9eL12/XU9c31xvW/9bj1sfWq9aP1m/WU9Y31hfV+9Xb1b/Vn9WD1WfVR9Ur1QvU79TP1LPUk9R31FvUP9Qf1APT59PL06/Tk9N301vTP9Mj0wvS79LT0rvSn9KH0m/SV9I/0ifSD9H30d/Ry9Gz0Z/Rh9Fz0V/RR9E30SPRD9D70OfQ09DD0K/Qn9CL0HvQa9Bb0EfQO9An0BvQC8/7z+vP28/Pz7/Ps8+jz5fPi897z2/PY89Tz0fPO88vzyPPF88Lzv/O887nztvOz87DzrfOr86jzpfOi86DznfOa85jzlfOS84/zjfOK84jzhfOC84DzffN783jzdfNz83DzbvNr82nzZvNk82HzX/Nc81rzWPNV81PzUPNO80zzSfNH80XzQvNA8z7zO/M58zfzNfMz8zHzL/Ms8yrzKPMm8yTzIvMg8x7zHPMb8xnzF/MV8xPzEvMQ8w7zDPML8wnzB/MG8wTzA/MB8wDy//L98vzy+/L58vjy9/L28vXy9PLy8vLy8fLw8u/y7vLt8u3y7PLs8uvy6/Lq8ury6vLq8uny6fLp8uny6fLq8ury6vLq8uvy6/Ls8uzy7fLt8u7y7vLv8vDy8PLx8vLy8/L08vTy9fL28vfy9/L48vny+vL68vvy/PL88v3y/vL+8v/zAPMA8wHzAfMC8wLzA/MD8wTzBPMF8wXzBvMG8wfzCPMI8wnzCvML8wzzDfMO8w/zEfMS8xTzFfMX8xnzG/Md8x/zIvMk8yfzKvMt8zDzM/M28zrzPfNB80TzSPNM81DzVPNY81zzYPNk82jzbPNx83TzePN884DzhPOH84rzjvOR85Tzl/OZ85vznvOg86Hzo/Ok86XzpvOm86bzpvOm86XzpfOk86LzofOf857zm/OZ85fzlPOR84/zjPOJ84bzgvN/83zzefN183Lzb/Ns82nzZvNj82DzXvNb81nzV/NV81PzUfNQ80/zTfNN80zzS/NL80vzS/NL80vzTPNN803zTvNP81DzUfNS81TzVfNW81fzWPNZ81rzW/Nb81zzXPNd813zXfNc81zzW/Na81jzV/NV81PzUfNP80zzSfNG80PzP/M78zjzM/Mv8yvzJ/Mi8x7zGfMU8xDzC/MH8wPy//L78vfy8/Lw8u3y6vLn8uXy4/Li8uDy4PLf8uDy4PLh8uPy5fLn8ury7vLy8vby+/MA8wbzDPMT8xrzIfMp8zHzOfNC80vzVPNd82bzcPN684PzjfOX86HzqvO0873zxvPQ89jz4fPp8/Hz+fQA9Af0DvQU9Bn0HvQj9Cf0K/Qv9DL0NPQ29Df0OPQ59Dn0OfQ59Dj0NvQ19DP0MfQu9Cz0KfQm9CP0IPQd9Bn0FvQT9BD0DfQK9Aj0BfQD9AH0APP+8/3z/fP88/3z/fP+8//0APQD9AX0CPQL9A70EvQW9Bv0H/Qk9Cr0L/Q19Dv0QfRH9E30U/RZ9F/0ZfRr9HH0dvR89IH0hvSK9I70kvSW9Jn0nPSe9KD0ovSj9KT0pPSk9KP0ovSh9J/0nPSa9Jf0lPSQ9Iz0ifSE9ID0e/R39HL0bfRp9GT0YPRb9Ff0U/RP9Ez0SPRF9EP0QPQ/9D30PPQ79Dv0O/Q89D30P/RB9EP0RvRK9E70UvRW9Fv0YfRm9Gz0cvR59H/0hvSN9JP0mvSh9Kj0r/S29L30w/TJ9M/01fTb9OD05fTp9O708fT19Pf0+vT89P70//T/9P/0//T+9P30+/T59Pb09PTw9O306PTk9N/02/TV9ND0yvTF9L/0ufSz9K30p/Sh9Jv0lfSQ9Ir0hfR/9Hr0dvRx9G30afRm9GL0YPRd9Fv0WvRY9Fj0V/RX9Fj0WfRa9Fz0XvRg9GP0Z/Rr9G/0c/R59H70g/SK9JD0lvSd9KX0rPS09Lz0xPTM9NX03vTn9PD0+fUC9Qv1FfUe9Sj1MvU79UX1T/VY9WL1bPV19X/1ifWS9Zz1pfWv9bj1wfXL9dT13fXm9e/19/YA9gn2EfYZ9iL2KvYy9jr2QfZJ9lD2V/Ze9mb2bPZz9nn2gPaG9oz2kfaX9pz2ofam9qv2r/az9rf2u/a+9sH2xPbH9sn2y/bN9s/20PbR9tH20vbS9tH20fbQ9s72zfbL9sn2xvbD9sD2vfa59rX2sfas9qf2ovad9pf2kfaL9oX2fvZ39nD2afZi9lr2U/ZL9kP2O/Yz9iv2I/Yb9hP2C/YD9fv18/Xr9eT13PXV9c71x/XB9br1tPWv9an1pPWf9Zv1l/WU9ZH1jvWM9Yr1ifWI9Yj1iPWJ9Yv1jPWP9ZL1lfWZ9Z71ovWo9a71tPW79cL1yvXS9dv14/Xt9fb2APYK9hT2H/Yq9jT2P/ZL9lb2YfZs9nj2g/aO9pn2pfaw9rr2xfbQ9tr25Pbu9vj3AfcK9xP3HPck9yz3NPc790L3SfdQ91b3XPdi92f3bfdx93b3e/d/94P3h/eL9473kveV95j3m/ef96H3pPen96r3rPev97L3tPe397r3vfe/98L3xffH98r3zffQ99P31vfZ99z33/fi9+X35/fr9+338Pfz9/b3+ff89/74AfgD+Ab4CPgK+A34D/gR+BL4FPgW+Bf4GPgZ+Br4G/gc+Bz4Hfgd+B34Hfgd+Bz4HPgb+Br4GfgY+Bf4FvgV+BP4EfgQ+A74DPgK+Aj4BvgE+AL4APf99/v3+ff29/T38vfv9+336vfo9+b34/fh99/33ffa99j31vfU99L30PfO9833y/fJ98j3xvfF98T3w/fC98H3wffA97/3v/e/92v3bPdt92/3cPdy93T3dvd493r3fPd+94H3g/eG94n3i/eP95L3lfeY95v3n/ei96b3qvet97H3tfe59733wffF98n3zffR99X32vfd9+L35vfq9+738ff19/n3/fgA+AT4B/gL+A74EfgU+Bf4Gvgd+B/4Ivgk+Cf4Kfgr+C34L/gw+DL4M/g1+Db4OPg5+Dr4O/g8+D34Pvg/+ED4QPhB+EL4Q/hE+EX4RvhH+Ej4SfhL+Ez4TvhP+FH4UvhU+Fb4Wfhb+F34YPhi+GX4aPhr+G74cvh1+Hn4fPiA+IT4iPiM+JD4lPiY+J34ofil+Kr4rviy+Lb4u/i/+MP4x/jL+M740vjW+Nn43fjg+OP45vjo+Or47fjv+PH48vj0+PX49vj3+Pf49/j3+Pf49/j2+Pb49fjz+PL48Pju+Oz46vjo+Ob44/jg+N742vjX+NT40fjO+Mv4x/jE+MH4vfi6+Lb4s/iw+Kz4qfim+KP4oPid+Jr4l/iU+JL4j/iN+Ir4iPiG+IT4gviA+H74fPh6+Hn4d/h2+HT4c/hy+HD4b/hu+G34a/hq+Gn4aPhn+GX4ZPhj+GH4YPhe+Fz4W/hZ+Ff4VfhT+FH4T/hM+Er4SPhF+EL4P/g8+Dn4Nvgz+C/4LPgo+CX4Ifgd+Bn4FvgS+A74CfgF+AH3/ff59/X38ffs9+j35Pfg99z31/fT98/3y/fH98T3wPe897j3tPex9633qvem96P3oPed95r3lveT95D3jfeL94j3hfeC94D3ffd793j3dfdz93D3bvdr92n3Zvdk92H3X/dc91n3V/dU91H3TvdM90n3RvdD90D3Pfc59zb3M/cv9yz3KPcl9yH3HfcZ9xX3EfcN9wn3BfcB9v32+fb09vD26/bn9uL23vbZ9tT20PbL9sf2wva99rj2s/av9qr2pfag9pz2l/aS9o32iPaE9n/2evZ19nD2bPZn9mL2XfZY9lT2T/ZK9kX2QfY89jf2MvYt9ij2I/Ye9hn2FPYP9gr2BfYA9fv19vXx9ev15vXg9dv11vXQ9cv1xfW/9br1tPWu9aj1o/Wd9Zf1kfWL9YX1f/V59XP1bPVm9WD1WvVU9U31R/VB9Tv1NPUu9Sj1IvUb9RX1D/UJ9QP0/fT39PH06/Tl9N/02fTT9M30yPTC9Lz0t/Sx9Kz0p/Sh9Jz0l/SS9I30iPSD9H70evR19HD0bPRn9GP0X/Ra9Fb0UvRO9Er0RvRC9D70OvQ39DP0L/Qs9Cj0JfQh9B70G/QX9BT0EfQO9Av0CPQF9ALz//P88/nz9vP08/Hz7vPr8+nz5vPj8+Hz3vPb89nz1vPU89Hzz/PM88rzyPPF88PzwPO+87zzufO387XzsvOw867zq/Op86fzpfOi86DznvOc85nzl/OV85PzkfOP84zzivOI84bzg/OB83/zffN783jzdvN083LzcPNu82vzafNn82XzY/Nh81/zXPNa81jzVvNU81LzUPNO80zzSvNI80bzRPNC80DzPvM88zvzOfM38zXzNPMy8zHzL/Mt8yzzK/Mp8yjzJ/Mm8yXzJPMj8yLzIfMg8yDzH/Me8x7zHfMd8x3zHPMc8xzzHPMc8xzzHPMc8x3zHfMd8x3zHvMe8x/zH/Mf8yDzIfMh8yLzIvMj8yPzJPMk8yXzJvMm8ybzJ/Mn8yjzKPMo8ynzKfMp8ynzKvMq8yrzKvMq8yrzKvMq8yrzKfMp8ynzKfMp8ynzKPMo8yjzKPMo8yjzKPMo8yjzKPMo8yjzKPMp8ynzKfMq8yvzLPMt8y7zL/Mw8zHzM/M08zbzOPM68zzzPvNA80PzRfNI80rzTfNQ81PzVvNZ81zzX/Nj82bzafNs83Dzc/N283nzffOA84PzhvOJ84zzj/OR85TzlvOZ85vznfOf86Hzo/Ok86bzp/Oo86nzqvOr86zzrPOt863zrfOt863zrfOt86zzrPOs86vzq/Oq86rzqfOp86jzqPOn86fzp/Om86bzpvOm86bzpvOm86bzp/On86jzqPOp86rzq/Os863zrvOv87HzsvOz87XztvO487rzu/O9877zwPPB88PzxPPF88fzyPPJ88rzy/PL88zzzPPN883zzfPM88zzy/PL88rzyPPH88XzxPPC88DzvvO787nzt/O087HzrvOr86jzpfOi85/znPOZ85bzkvOQ843zivOH84XzgvOA837zfPN683jzd/N283XzdPN083TzdPN183XzdvN483nze/N983/zgfOE84fzivOO85HzlfOZ853zofOm86rzr/O087jzvfPC88bzy/PQ89Xz2fPe8+Lz5vPq8+7z8vP28/nz/fQA9AP0BfQI9Ar0DPQO9A/0EfQS9BP0E/QU9BT0FPQU9BT0FPQT9BP0EvQR9BD0D/QO9A30DPQL9Ar0CvQJ9Aj0B/QH9Ab0BvQG9Ab0BvQH9Af0CPQJ9Av0DPQO9BD0EvQU9Bf0GvQd9CD0JPQn9Cv0L/Qz9Df0O/RA9EX0SfRO9FL0V/Rc9GD0ZfRp9G70cvR39Hv0f/SC9Ib0ivSN9JD0k/SV9Jj0mvSc9J30n/Sg9KH0ovSi9KL0ovSi9KL0ofSh9KD0n/Sd9Jz0m/SZ9Jj0lvSV9JP0kvSQ9I/0jvSM9Iv0ivSK9In0iPSI9Ij0iPSI9In0ifSK9Iv0jfSO9JD0kvSU9Jf0mvSd9KD0o/Sm9Kr0rvSy9LX0uvS+9ML0xvTK9M700/TX9Nv03/Tj9Of06vTu9PH09fT49Pr0/fT/9QL1A/UF9Qf1CPUJ9Qn1CvUK9Qr1CfUJ9Qj1B/UG9QT1AvUA9P70/PT69Pf09fTy9O/07fTq9Of05PTh9N/03PTZ9Nf01PTS9ND0zvTM9Mr0yfTI9Mf0xvTG9MX0xfTG9Mb0x/TI9Mr0y/TN9M/00vTV9Nj02/Tf9OP05/Tr9PD09fT69P/1BPUK9RD1FvUc9SL1KPUv9TX1PPVD9Ur1UfVY9V/1ZvVt9XT1e/WC9Yn1kPWX9Z71pfWr9bL1ufW/9cb1zfXT9dn14PXm9ez18vX49f72BPYK9g/2FfYa9iD2JfYq9i/2NPY59j72Q/ZH9kz2UPZV9ln2XfZh9mX2afZt9nD2dPZ39nr2ffaA9oP2hvaI9ov2jfaP9pH2k/aU9pb2l/aY9pj2mfaZ9pn2mfaZ9pj2mPaW9pX2lPaS9pD2jvaL9on2hvaD9n/2fPZ49nT2cPZs9mf2Y/Ze9ln2VPZO9kn2RPY+9jj2M/Yt9if2IfYb9hX2EPYK9gT1//X59fT17vXp9eT14PXb9df10/XP9cv1yPXF9cL1wPW+9b31u/W69br1ufW69br1u/W99b71wPXD9cb1yfXN9dH11fXa9d/15fXr9fH19/X+9gX2DPYU9hz2JPYs9jT2PfZG9k72V/Zg9mn2cvZ79oX2jvaX9qD2qPax9rr2w/bL9tP23Pbk9uv28/b69wL3CfcP9xb3HPci9yj3Lfcy9zf3PPdB90X3SfdN91D3VPdX91r3XPdf92H3Y/dl92f3aPdq92v3bfdu92/3b/dw93H3cfdy93L3c/dz93T3dPd093T3dfd193X3dfd193b3dvd293b3dvd393f3d/d393f3ePd493j3ePd493n3efd593n3efd593n3evd693r3evd693r3evd693r3efd593n3efd593j3ePd493f3d/d293b3dvd193T3dPdz93P3cvdx93H3cPdv92/3bvdt9233bPdr92r3avdp92j3aPdn92f3Zvdm92X3Zfdk92T3ZPdj92P3Y/dj92P3Y/dj92P3Y/dj92T3ZPdl92X3Zvdn92j3aPdp9v73AfcD9wb3CfcL9w73EPcT9xb3GPcb9x73IPcj9yb3Kfcr9y73Mfc09zb3Ofc89z/3QvdF90f3SvdN91D3UvdV91j3Wvdd92D3Yvdl92f3avds92/3cfdz93b3ePd693z3fveA94L3hPeG94j3iveM9473j/eR95P3lPeW95j3mfeb95z3nvef96H3ovek96X3pveo96r3q/et9673sPey97P3tfe397n3u/e997/3wffE98b3yPfL98330PfT99b32ffc99/34vfl9+n37Pfw9/P39/f79/74AvgG+Ar4DvgS+Bb4Gvge+CL4Jvgq+C74Mfg1+Dn4PfhB+ET4SPhL+E/4UvhV+Fj4W/he+GH4Y/hl+Gj4avhs+G34b/hw+HL4c/hz+HT4dPh1+HX4dfh1+HT4dPhz+HL4cfhw+G74bfhr+Gn4Z/hl+GP4Yfhe+Fz4WfhW+FP4UfhO+Ev4SPhE+EH4Pvg7+Dj4NPgx+C74Kvgn+CT4Ifgd+Br4F/gU+BH4DvgK+Af4BPgB9/73/Pf59/b38/fw9+736/fo9+b34/fh99733PfZ99f31PfS98/3zffL98j3xvfD98H3v/e897r3uPe197P3sPeu96v3qfen96T3ovef9533mveY95X3k/eR9473jPeJ94f3hPeC93/3ffd693j3dvdz93H3b/dt92r3aPdm92T3Yvdg9173XPda91j3VvdU91P3UfdP9033TPdK90j3R/dF90T3QvdB9z/3Pvc89zv3Ofc39zb3NPcz9zH3L/cu9yz3Kvco9yf3Jfcj9yH3H/cd9xr3GPcW9xP3EfcO9wz3CfcG9wP3APb99vr29/bz9vD27Pbp9uX24fbe9tr21vbS9s72yvbF9sH2vfa49rT2r/ar9qb2ovad9pj2lPaP9or2hfaB9nz2d/Zy9m32aPZk9l/2WvZV9lD2TPZH9kL2PfY49jT2L/Yq9iX2IfYc9hf2E/YO9gn2BfYA9fv19/Xy9e716fXk9eD12/XX9dL1zfXJ9cT1v/W79bb1sfWt9aj1o/We9Zr1lfWQ9Yv1hvWC9X31ePVz9W71afVk9V/1WvVV9VD1S/VF9UH1O/U29TH1LPUn9SL1HfUY9RL1DfUI9QP0/vT59PT07/Tq9OX04PTc9Nf00vTN9Mj0xPS/9Lr0tvSx9K30qPSk9KD0m/SX9JP0j/SL9If0g/R/9Hv0d/Rz9HD0bPRp9GX0YfRe9Fv0V/RU9FH0TvRK9Ef0RPRB9D70O/Q59Db0M/Qw9C70K/Qo9Cb0I/Qg9B70HPQZ9Bf0FPQS9A/0DfQL9An0BvQE9AL0APP98/vz+fP38/Xz8/Px8+7z7PPq8+jz5vPk8+Lz4PPe89zz2vPY89bz1PPS89DzzvPM88rzyPPG88TzwvPA877zvPO687jztfOz87Hzr/Ot86vzqfOn86Xzo/Oh85/znPOa85jzlvOU85LzkPOO84zzivOI84bzg/OB83/zffN783nzd/N183PzcfNv823za/Nq82jzZvNk82PzYfNf813zXPNa81nzV/NW81TzU/NS81HzT/NO803zTPNL80rzSfNI80fzRvNG80XzRPNE80PzQvNC80HzQfNA80DzP/M/8z/zP/M+8z7zPvM98z3zPfM88zzzPPM88zvzO/M78zrzOvM68znzOfM48zjzOPM38zfzNvM28zXzNPM08zPzMvMy8zHzMfMw8y/zL/Mu8y3zLPMs8yvzKvMq8ynzKfMo8yjzJ/Mn8yfzJvMm8ybzJvMm8ybzJvMm8yfzJ/Mo8yjzKfMq8yvzLPMt8y7zL/Mx8zLzNPM28zjzOvM88z7zQPND80XzSPNK803zUPNS81XzWPNb817zYfNk82jza/Nu83HzdPN383vzfvOB84TziPOL847zkfOU85fzmvOd86Dzo/Om86nzq/Ou87HztPO287nzvPO+88Hzw/PG88jzy/PN89Dz0vPU89fz2fPc897z4fPj8+Xz6PPr8+3z8PPy8/Xz+PP68/30APQD9AX0CPQL9A70EfQU9Bf0GvQd9CD0I/Qm9Cn0LPQu9DH0NPQ39Dn0PPQ/9EH0Q/RG9Ej0SvRM9E70UPRR9FP0VPRV9Fb0V/RY9Fn0WfRZ9Fn0WfRZ9Fn0WPRX9Fb0VfRU9FP0UfRQ9E70TPRK9Ej0RvRD9EH0PvQ89Dn0NvQ09DH0LvQr9Cj0JvQj9CD0HfQa9Bf0FfQS9A/0DfQK9Aj0BvQD9AHz//P98/zz+vP48/fz9fP08/Pz8vPw8+/z7/Pu8+3z7fPs8+zz7PPr8+vz6/Pr8+vz6/Pr8+vz6/Pr8+vz6/Pr8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+3z7fPt8+7z7vPv8+/z8PPx8/Lz8/P08/Xz9/P48/rz/PP+9AD0AvQF9Af0CvQN9A/0EvQW9Bn0HPQg9CT0J/Qr9C/0M/Q39Dz0QPRE9En0TfRR9Fb0WvRf9GP0aPRs9HD0dPR59H30gfSF9In0jPSQ9JP0l/Sa9J30oPSj9Kb0qfSr9K30sPSy9LT0tfS39Ln0uvS89L30vvS/9MD0wfTB9ML0w/TD9MT0xPTF9MX0xvTG9Mb0x/TH9Mj0yPTJ9Mr0yvTL9Mz0zfTN9M70z/TQ9NL00/TU9Nb01/TY9Nr03PTd9N/04fTj9OT05vTo9Or07PTu9PD08vT09Pb0+PT59Pv0/fT/9QD1AvUE9QX1B/UI9Qn1CvUL9Q31DvUO9Q/1EPUQ9RH1EfUS9RL1E/UT9RP1E/UT9RP1E/UT9RP1E/UT9RP1E/UT9RP1E/UU9RT1FPUV9RX1FvUW9Rf1GPUZ9Rr1G/Uc9R71H/Uh9SP1JfUn9Sr1LPUv9TH1NPU39Tr1PvVB9UX1SPVM9VD1VPVY9Vz1YfVl9Wr1bvVz9Xf1fPWB9Yb1i/WP9ZT1mfWe9aP1p/Ws9bH1tvW69b/1w/XI9cz10fXV9dn13vXi9eb16vXu9fH19fX59fz2APYD9gb2CvYN9hD2E/YW9hn2G/Ye9iH2I/Ym9ij2K/Yt9i/2MvY09jb2OPY69jz2PvZA9kL2Q/ZF9kf2SPZK9kv2TfZO9k/2UPZS9lP2VPZV9lX2VvZX9lj2WPZY9ln2WfZZ9ln2WfZZ9lj2WPZX9lb2VfZV9lP2UvZR9k/2TfZM9kr2SPZG9kP2QfY/9jz2OfY29jT2MfYu9iv2J/Yk9iH2HfYa9hf2E/YQ9g32CfYG9gP2APX89fn19/X09fH17vXs9en15/Xl9eP14fXg9d/13vXd9dz13PXb9dv13PXc9d313vXf9eH14/Xl9ef16vXs9e/18/X29fr1/vYC9gf2C/YQ9hX2GvYg9iX2K/Yx9jb2PPZD9kn2T/ZV9lz2YvZo9m/2dfZ89oL2iPaP9pX2m/ah9qf2rfay9rj2vfbD9sj2zfbS9tb22vbf9uP25/bq9u728fb09vf2+fb89v73APcC9wP3BfcG9wf3CPcI9wn3CfcJ9wn3CfcJ9wj3B/cH9wb3BfcE9wL3AfcA9v72/fb79vn29/b29vT28vbw9u727Pbq9uj25vbk9uL24Pbe9tz22vbY9tf21fbT9tH2z/bO9sz2yvbJ9sj2xvbF9sP2wvbB9sD2v/a+9r32vPa79rr2uva59rn2uPa49rj2uPa39rf2t/a39rf2uPa49rj2ufa59rn2uva79rv2vPa99r72v/bA9sH2wvbD9sX2xvbH9sn2yvbM9s32z/bQ9tL21PbW9tf22fbb9t323/bh9uP25fbn9ur27Pbu9vD28/b19vf2+vb89rP2tva59rz2v/bC9sX2yfbM9s/20vbU9tf22vbd9uD24/bl9uj26/bt9vD28vb19vf2+vb89v73AfcD9wX3B/cJ9wv3DfcP9xH3E/cV9xf3Gfca9xz3Hvcf9yH3I/ck9yb3J/cp9yr3LPct9y/3MPcy9zP3Nfc29zj3Ofc79zz3Pvc/90H3Q/dE90b3SPdJ90v3TfdP91H3U/dV91f3Wfdb9133X/di92T3Z/dp92z3bvdx93T3dvd593z3f/eC94X3iPeL94/3kveV95n3nPef96P3pveq9633sPe097f3u/e+98L3xffJ98z3z/fT99b32ffc99/34vfl9+j36/fu9/D38/f19/j3+vf89/74APgB+AP4BfgG+Af4CPgJ+Ar4C/gL+Az4DPgM+Az4DPgL+Av4CvgJ+An4B/gG+AX4BPgC+AD3//f99/v3+ff29/T38vfv9+336vfn9+T34ffe99v32PfV99L3z/fL98j3xffB9773u/e397T3sPet96n3pvei95/3m/eY95T3kfeN94r3h/eD94D3fPd593b3c/dw92z3afdm92P3YPdd91r3V/dU91H3TvdL90n3RvdD90H3Pvc79zn3Nvc09zH3L/ct9yv3KPcm9yT3Ivcg9x73HPca9xj3FvcU9xL3EfcP9w33DPcK9wn3B/cG9wT3A/cC9wH2//b+9v32/Pb79vr2+fb49vf29vb19vT28/by9vH28Pbw9u/27vbt9uz26/bq9ur26fbo9uf25vbl9uT24/bi9uD23/be9tz22/ba9tj21/bV9tP20vbQ9s72zPbK9sj2xvbD9sH2v/a89rr2t/a09rL2r/as9qn2pvai9p/2nPaY9pX2kfaO9or2hvaD9n/2e/Z39nP2b/Zr9mf2Y/Ze9lr2VvZS9k32SfZF9kD2PPY39jP2LvYq9ib2IfYd9hj2FPYQ9gv2B/YC9f71+fX19fH17PXo9eP13/Xb9df10vXO9cr1xfXB9b31ufW19bD1rPWo9aT1n/Wb9Zf1k/WP9Yv1hvWC9X71evV29XL1bfVp9WX1YfVd9Vn1VPVQ9Uz1SPVE9UD1O/U39TP1L/Ur9Sf1IvUe9Rr1FvUS9Q71CfUF9QH0/fT59PX08fTt9On05fTh9N302fTV9NH0zfTJ9Mb0wvS+9Lr0t/Sz9K/0rPSo9KX0ofSe9Jr0l/ST9JD0jfSK9Ib0g/SA9H30evR39HT0cfRu9Gz0afRm9GP0YfRe9Fv0WfRW9FT0UfRP9Ez0SvRI9EX0Q/RB9D/0PPQ69Dj0NvQ09DL0L/Qt9Cv0KfQn9CX0I/Qh9B/0HvQc9Br0GPQW9BT0EvQQ9A/0DfQL9An0B/QF9AT0AvQA8/7z/fP78/nz9/P18/Tz8vPw8+7z7fPr8+nz5/Pl8+Tz4vPg897z3fPb89nz1/PV89Tz0vPQ887zzPPL88nzx/PF88PzwvPA877zvPO687nzt/O187PzsvOw867zrPOr86nzp/Ol86TzovOg85/znfOb85rzmPOX85XzlPOS85Hzj/OO84zzi/OJ84jzh/OF84Tzg/OB84Dzf/N+833zfPN683nzePN383bzdfN083PzcvNx83Dzb/Nu823zbPNr82rzafNo82jzZ/Nm82XzZPNj82LzYfNh82DzX/Ne813zXPNb81vzWvNZ81jzV/NW81bzVfNU81PzUvNS81HzUPNP80/zTvNN803zTPNM80vzS/NK80rzSfNJ80nzSPNI80jzSPNI80jzSPNI80nzSfNJ80rzSvNL80zzTfNN80/zUPNR81LzVPNV81bzWPNa81zzXvNg82LzZPNm82nza/Nu83Dzc/N283jzfPN/84HzhfOI84vzj/OS85XzmfOc86Dzo/On86vzr/Oy87bzuvO+88LzxfPJ883z0fPV89nz3fPh8+Xz6fPt8/Hz9fP58/30AfQF9An0DfQR9BX0GfQd9CH0JfQp9C30MfQ19Dn0PfRB9EX0SfRN9FH0VfRZ9F30YfRk9Gj0bPRw9HT0ePR89ID0g/SH9Iv0j/SS9Jb0mvSd9KD0pPSn9Kr0rvSx9LT0t/S69Lz0v/TC9MT0xvTI9Mv0zfTO9ND00vTT9NT01vTX9Nf02PTZ9Nn02fTZ9Nn02fTZ9Nj02PTX9Nb01fTT9NL00PTP9M30y/TJ9Mb0xPTC9L/0vPS69Lb0tPSx9K30qvSn9KP0oPSc9Jn0lfSS9I70ivSG9IP0f/R79Hf0dPRw9Gz0aPRl9GH0XfRa9Fb0U/RP9Ez0SPRF9EL0PvQ79Dj0NfQy9C/0LPQp9Cf0JPQh9B/0HfQa9Bj0FvQU9BL0EPQO9Az0CvQJ9Af0BvQE9AP0AvQB9ADz//P+8/3z/fP88/zz/PP78/vz+/P78/zz/PP88/3z/fP+8//0APQB9AP0BPQF9Af0CfQL9A30D/QR9BP0FvQY9Bv0HvQg9CP0JvQp9C30MPQz9Df0OvQ+9EL0RvRJ9E30UfRV9Fn0XvRi9Gb0avRu9HL0dvR69H/0g/SH9Iv0j/ST9Jf0m/Se9KL0pvSq9K30sfS09Lj0u/S+9MH0xPTH9Mr0zfTQ9NL01fTX9Nn03PTe9OD04vTk9OX05/Tp9Or07PTt9O/08PTx9PL08/T09PX09vT39Pj0+fT69Pr0+/T89P30/fT+9P70//UA9QD1AfUB9QL1AvUD9QP1BPUF9QX1BvUG9Qf1B/UI9Qj1CfUJ9Qr1CvUL9Qv1DPUM9Q31DfUO9Q71D/UP9RD1EPUR9RH1EvUS9RP1FPUU9RX1FfUW9Rf1F/UY9Rn1GfUa9Rv1HPUd9R71H/Ug9SH1IvUj9ST1JfUn9Sj1KvUr9S31L/Uw9TL1NPU29Tj1O/U99T/1QvVE9Uf1SvVM9U/1UvVV9Vj1W/Vf9WL1ZfVp9Wz1cPV09Xf1e/V/9YL1hvWK9Y71kvWW9Zr1nvWh9aX1qfWt9bH1tfW49bz1wPXE9cf1y/XO9dL11fXZ9dz13/Xi9eX16PXr9e718fXz9fb1+fX79f32APYC9gT2BvYI9gr2DPYN9g/2EfYS9hT2FfYW9hj2GfYa9hv2HPYd9h72H/Yg9iH2IfYi9iP2I/Yk9iT2JfYl9ib2JvYn9if2J/Yo9ij2KPYo9ij2KfYp9in2KfYo9ij2KPYo9ij2J/Yn9if2JvYm9iX2JfYk9iP2IvYi9iH2IPYf9h72HfYb9hr2GfYY9hb2FfYT9hL2EPYP9g32DPYK9gj2B/YF9gP2AfYA9f71/PX69fn19/X19fT18vXx9e/17vXt9ev16vXp9ej15/Xn9eb15fXl9eT15PXk9eT15fXl9eb15vXn9ej16fXq9ez17fXv9fH18/X19fj1+vX99gD2A/YG9gn2DfYQ9hT2GPYb9h/2I/Yo9iz2MPY09jn2PfZC9kb2S/ZQ9lT2WfZd9mL2Z/Zr9nD2dPZ49n32gfaF9on2jfaR9pX2mfac9qD2o/am9qn2rPav9rH2s/a29rj2uva79r32vva/9sH2wfbC9sL2w/bD9sP2w/bD9sL2wfbB9sD2v/a99rz2u/a59rf2tfaz9rH2r/at9qr2qPam9qP2oPae9pv2mPaV9pL2j/aN9or2h/aE9oH2fvZ79nj2dfZz9nD2bfZq9mj2ZfZj9mD2XvZc9lr2WPZW9lT2UvZQ9k/2TfZM9kv2SfZI9kf2R/ZG9kX2RfZF9kT2RPZE9kX2RfZF9kb2R/ZH9kj2SfZK9kz2TfZO9lD2UvZT9lX2V/ZZ9lv2XfZg9mL2ZPZn9mn2bPZv9nH2dPZ39nr2ffaA9oP2hvaJ9oz2j/aT9pb2mfac9p/2o/am9qn2rPav9of2ivaN9pD2k/aW9pn2m/ae9qH2pPan9qn2rPau9rH2s/a29rj2u/a99r/2wvbE9sb2yPbK9sz2zvbQ9tL21PbW9tj22fbb9t323vbg9uL24/bl9ub26Pbq9uv27Pbu9u/28fby9vT29fb39vj2+vb79vz2/vb/9wH3AvcE9wX3B/cJ9wr3DPcO9w/3EfcT9xX3FvcY9xr3HPce9yD3Ivck9yf3Kfcr9y33MPcy9zT3N/c59zz3PvdB90P3RvdI90v3TvdQ91P3VvdZ91v3Xvdh92T3Zvdp92z3b/dx93T3d/d593z3f/eB94T3hveI94v3jfeP95L3lPeW95j3mvec9533n/eh96L3pPel96b3p/eo96n3qver96z3rPet9633rfet9633rfet9633rPes96v3q/eq96n3qPem96X3pPei96H3n/ed95z3mveY95b3k/eR94/3jPeK94j3hfeC94D3ffd693f3dPdx9273a/do92X3Yfde91v3WPdV91H3TvdL90f3RPdB9z73Ovc39zT3MPct9yr3Jvcj9yD3Hfca9xb3E/cQ9w33CvcH9wT3Afb+9vz2+fb29vP28Pbu9uv26fbm9uT24fbf9tz22vbY9tb20/bR9s/2zfbL9sn2yPbG9sT2wvbB9r/2vfa89rr2ufa39rb2tfaz9rL2sfaw9q72rfas9qv2qvap9qj2p/am9qX2pPaj9qL2ofag9qD2n/ae9p32nPab9pr2mfaY9pf2lvaV9pT2k/aS9pH2kPaP9o32jPaL9on2iPaH9oX2hPaC9oD2f/Z99nv2efZ39nX2c/Zx9m/2bfZr9mj2ZvZk9mH2X/Zc9ln2V/ZU9lH2TvZL9kj2RfZC9j/2PPY59jX2MvYv9iv2KPYl9iH2HvYa9hf2E/YP9gz2CPYE9gH1/fX59fb18vXu9er15vXj9d/12/XX9dP10PXM9cj1xPXA9b31ufW19bH1rvWq9ab1o/Wf9Zv1l/WU9ZD1jPWJ9YX1gfV+9Xr1dvVz9W/1bPVo9WX1YfVe9Vr1VvVT9VD1TPVJ9UX1QvU+9Tv1N/U09TD1LfUq9Sb1I/Uf9Rz1GfUV9RL1D/UL9Qj1BfUB9P70+/T39PT08fTu9Or05/Tk9OH03vTb9Nf01PTR9M70y/TI9MX0wvS/9Lz0ufS29LP0sPSt9Kv0qPSl9KL0n/Sd9Jr0l/SV9JL0j/SN9Ir0iPSF9IP0gPR+9Hv0efR29HT0cvRv9G30a/Rp9Gb0ZPRi9GD0XvRb9Fn0V/RV9FP0UfRP9E30S/RJ9Ef0RfRD9EH0QPQ+9Dz0OvQ49Df0NfQz9DH0L/Qu9Cz0KvQo9Cf0JfQj9CL0IPQe9B30G/QZ9Bj0FvQV9BP0EfQQ9A70DfQL9Ar0CPQG9AX0A/QC9ADz//P98/zz+vP58/fz9vP18/Pz8vPw8+/z7fPs8+vz6fPo8+bz5fPk8+Lz4fPf897z3fPb89rz2fPX89bz1fPT89Lz0fPQ887zzfPM88vzyfPI88fzxvPF88PzwvPB88Dzv/O+87zzu/O687nzuPO387bztfO087PzsvOx87Dzr/Ou863zrPOr86rzqfOo86fzpvOl86Tzo/Oj86LzofOg85/znvOe853znPOb85rzmvOZ85jzmPOX85bzlvOV85TzlPOT85LzkvOR85HzkfOQ85Dzj/OP84/zjvOO847zjvOO843zjfON843zjfOO847zjvOO84/zj/OP85DzkPOR85LzkvOT85TzlfOW85fzmPOZ85rznPOd85/zoPOi86PzpfOn86nzq/Ot86/zsfOz87XzuPO6873zv/PC88Xzx/PK883z0PPT89bz2fPc89/z4/Pm8+nz7PPw8/Pz9/P68/70AfQF9Aj0DPQQ9BT0F/Qb9B/0IvQm9Cr0LvQx9DX0OfQ99EH0RfRI9Ez0UPRU9Fj0W/Rf9GP0Z/Rr9G70cvR29Hr0ffSB9IX0iPSM9JD0k/SX9Jr0nvSi9KX0qfSs9K/0s/S29Ln0vfTA9MP0xvTJ9M300PTT9Nb02PTb9N704fTj9Ob06fTr9O708PTy9PT09vT49Pr0/PT+9QD1AfUD9QT1BvUH9Qj1CfUK9Qr1C/UM9Qz1DfUN9Q31DfUN9Q31DPUM9Qv1C/UK9Qn1CPUH9Qb1BPUD9QH0//T+9Pz0+vT49Pb08/Tx9O/07PTp9Of05PTh9N702/TY9NX00vTP9Mv0yPTF9MH0vvS79Lf0tPSw9K30qfSm9KL0nvSb9Jj0lPSR9I30ivSG9IP0gPR89Hn0dvRz9G/0bPRp9Gb0Y/Rh9F70W/RZ9Fb0VPRR9E/0TfRK9Ej0RvRF9EP0QfQ/9D70PPQ79Dr0OfQ49Df0NvQ19DT0NPQz9DP0M/Qz9DP0M/Qz9DP0NPQ09DX0NfQ29Df0OPQ59Dr0O/Q99D70QPRB9EP0RfRH9En0S/RN9E/0UfRT9Fb0WPRb9F30YPRj9GX0aPRr9G70cfR09Hf0evR89ID0g/SG9In0jPSP9JL0lfSY9Jv0nvSh9KT0p/Sq9K30sPSz9LX0uPS79L70wPTD9MX0yPTL9M30z/TS9NT01vTY9Nr03PTe9OD04vTk9Ob05/Tp9Ov07PTu9O/08PTy9PP09PT19Pf09/T49Pn0+vT79Pz0/fT99P70//T/9QD1APUB9QH1AvUC9QL1A/UD9QP1A/UE9QT1BPUE9QT1BfUF9QX1BfUF9QX1BfUF9QX1BfUF9Qb1BvUG9Qb1BvUG9Qb1BvUH9Qf1B/UH9Qj1CPUI9Qj1CfUJ9Qr1CvUL9Qz1DPUN9Q71D/UP9RD1EfUS9RP1FfUW9Rf1GPUa9Rv1HfUe9SD1IvUj9SX1J/Up9Sv1LfUw9TL1NPU39Tn1PPU+9UH1Q/VG9Un1TPVP9VL1VfVY9Vv1XvVh9WT1Z/Vr9W71cfV09Xj1e/V+9YH1hfWI9Yv1j/WS9ZX1mPWc9Z/1ovWl9aj1q/Wu9bH1tPW39br1vfW/9cL1xfXH9cr1zPXP9dH10/XV9dj12vXc9d714PXh9eP15fXn9ej16vXr9ez17vXv9fD18vXz9fT19fX29ff19/X49fn1+fX69fv1+/X89fz1/PX99f31/fX99f71/vX+9f71/vX+9f71/fX99f31/fX89fz1/PX79fv1+vX69fn1+fX49ff19vX29fX19PXz9fL18fXw9e/17vXt9ez16/Xq9en16PXn9eb15fXj9eL14fXg9d/13vXd9dv12vXZ9dj11/XW9dX11PXT9dP10vXR9dD10PXP9c/1zvXO9c71zvXO9c31zvXO9c71zvXP9c/10PXR9dH10vXU9dX11vXY9dn12/Xc9d714PXi9eT15/Xp9ez17vXx9fT19/X69f32APYD9gb2CvYN9hH2FPYY9hz2H/Yj9if2K/Yu9jL2NvY69j72QvZF9kn2TfZR9lT2WPZc9l/2Y/Zm9mn2bfZw9nP2dvZ59nz2fvaB9oP2hvaI9or2jPaO9o/2kfaS9pT2lfaW9pf2l/aY9pj2mfaZ9pn2mfaZ9pj2mPaX9pb2lvaV9pP2kvaR9o/2jvaM9or2iPaH9oX2gvaA9n72fPZ59nf2dfZy9m/2bfZq9mj2ZfZj9mD2XfZb9lj2VvZT9lH2TvZM9kn2R/ZF9kP2QfY+9jz2O/Y59jf2NfY09jL2MfYw9i72LfYs9iz2K/Yq9ir2KfYp9in2KfYp9in2KfYq9ir2K/Yr9iz2LfYu9i/2MfYy9jT2NfY39jn2OvY89j72QPZD9kX2R/ZK9kz2TvZR9lT2VvZZ9lz2XvZh9mT2Z/Zq9m32cPZz9nb2efZ89n/2gfaE9kb2SPZK9kz2TvZQ9lL2VPZW9lj2WvZc9l32X/Zh9mP2ZfZn9mj2avZs9m72b/Zx9nP2dPZ29nf2efZ69nz2fvZ/9oD2gvaD9oX2hvaH9on2ivaM9o32jvaQ9pH2kvaT9pX2lvaX9pn2mvab9p32nvaf9qH2ovaj9qX2pvao9qn2qvas9q32r/aw9rL2s/a19rb2uPa59rv2vfa/9sD2wvbE9sX2x/bJ9sv2zfbP9tD20vbU9tb22Pba9tz23vbg9uL25Pbm9uj26vbs9u728Pby9vT29vb49vr2/Pb99v/3AfcD9wX3B/cI9wr3DPcN9w/3EfcS9xT3FfcW9xj3Gfca9xv3HPcd9x73H/cg9yH3Ivci9yP3JPck9yT3Jfcl9yX3Jfcl9yX3Jfcl9yT3JPck9yP3I/ci9yH3IPcf9x/3Hvcd9xv3GvcZ9xf3FvcV9xP3EvcQ9w73DPcL9wn3B/cF9wP3Afb/9vz2+vb49vb29Pbx9u/27Pbq9uj25fbj9uD23vbb9tn21vbU9tH2z/bM9sn2x/bE9sL2v/a99rr2uPa19rL2sPau9qv2qfam9qT2ofaf9p32mvaY9pb2k/aR9o/2jfaL9on2h/aF9oP2gfZ/9n32e/Z59nf2dfZ09nL2cPZu9m32a/Zq9mj2Z/Zl9mT2YvZh9l/2XvZd9lv2WvZZ9lf2VvZV9lT2U/ZR9lD2T/ZO9k32TPZK9kn2SPZH9kb2RfZE9kL2QfZA9j/2PvY89jv2OvY59jf2NvY19jT2MvYx9i/2LvYt9iv2KvYo9ib2JfYj9iL2IPYe9hz2G/YZ9hf2FfYT9hH2D/YN9gv2CfYH9gT2AvYA9f71+/X59ff19PXy9e/17fXq9ef15fXi9d/13fXa9df11PXR9c/1zPXJ9cb1w/XA9b31uvW39bT1sfWu9av1qPWl9aL1n/Wc9Zn1lvWT9ZD1jfWJ9Yb1g/WA9X31evV39XT1cfVu9Wv1aPVk9WL1XvVb9Vj1VfVS9U/1TPVK9Uf1RPVB9T71O/U49TX1MvUv9Sz1KfUn9ST1IfUe9Rv1GfUW9RP1EPUO9Qv1CPUG9QP1APT99Pv0+PT19PP08PTu9Ov06PTm9OP04fTe9Nz02fTW9NT00fTP9M30yvTI9MX0w/TA9L70u/S59Lf0tPSy9K/0rfSr9Kn0pvSk9KL0n/Sd9Jv0mfSW9JT0kvSQ9I70i/SJ9If0hfSD9IH0f/R89Hr0ePR29HT0cvRw9G70bPRq9Gj0ZvRk9GL0YPRf9F30W/RZ9Ff0VfRT9FH0UPRO9Ez0SvRI9Ef0RfRD9EH0QPQ+9Dz0OvQ59Df0NfQ09DL0MPQv9C30LPQq9Cj0J/Ql9CT0IvQh9B/0HvQc9Bv0GfQY9Bb0FfQU9BL0EfQP9A70DfQL9Ar0CfQH9Ab0BfQE9AL0AfQA8/7z/fP88/vz+vP48/fz9vP18/Tz8/Py8/Dz7/Pu8+3z7PPr8+rz6fPo8+fz5vPl8+Tz4/Pi8+Hz4PPf897z3fPc89vz2vPZ89jz2PPX89bz1fPU89Pz0vPS89Hz0PPP887zzvPN88zzy/PL88rzyfPJ88jzx/PG88bzxfPE88Tzw/PD88LzwvPB88HzwPPA87/zv/O+877zvfO9873zvPO887zzu/O787vzu/O787rzuvO687rzuvO687rzuvO687vzu/O787vzvPO887zzvfO9877zvvO/87/zwPPB88LzwvPD88TzxfPG88fzyPPJ88rzzPPN887z0PPR89Lz1PPV89fz2fPa89zz3vPg8+Lz5PPl8+fz6vPs8+7z8PPy8/Tz9/P58/vz/vQA9AP0BfQI9Ar0DfQP9BL0FfQX9Br0HfQf9CL0JfQo9Cv0LfQw9DP0NvQ59Dv0PvRB9ET0R/RK9E30T/RS9FX0WPRb9F70YPRj9Gb0afRr9G70cfRz9Hb0efR79H70gfSD9Ib0iPSL9I30kPSS9JX0l/SZ9Jz0nvSg9KP0pfSn9Kn0q/St9K/0svS09LX0t/S59Lv0vfS/9MH0wvTE9Mb0x/TJ9Mr0zPTN9M/00PTR9NP01PTV9Nb01/TY9Nn02vTb9Nz03fTd9N703/Tf9OD04PTg9OH04fTh9OH04fTh9OH04fTh9OH04fTg9OD03/Tf9N703vTd9Nz03PTb9Nr02fTY9Nf01vTU9NP00vTQ9M/0zvTM9Mv0yfTH9Mb0xPTC9MD0v/S99Lv0ufS39LX0s/Sx9K/0rfSr9Kn0p/Sl9KP0ofSe9Jz0mvSY9Jb0lPSS9JD0jvSM9Ir0iPSF9IP0gvSA9H70fPR69Hj0dvR09HP0cfRv9G70bPRr9Gn0aPRm9GX0Y/Ri9GH0YPRf9F70XfRc9Fv0WvRZ9Fj0WPRX9Fb0VvRV9FX0VfRU9FT0VPRU9FT0VPRU9FT0VPRU9FT0VfRV9Fb0VvRX9Ff0WPRY9Fn0WvRb9Fz0XPRe9F/0YPRh9GL0Y/Rk9GX0Z/Ro9Gn0a/Rs9G30b/Rw9HL0c/R19Hb0ePR69Hv0ffR+9ID0gvSD9IX0h/SI9Ir0jPSN9I/0kfSS9JT0lvSX9Jn0m/Sc9J70n/Sh9KP0pPSl9Kf0qfSq9Kv0rfSu9LD0sfSy9LT0tfS29Lf0uPS69Lv0vPS99L70v/TA9MH0wvTD9MT0xfTG9Mb0x/TI9Mn0yfTK9Mv0y/TM9M30zfTO9M70z/TP9M/00PTQ9NH00fTR9NL00vTT9NP00/TT9NT01PTU9NX01fTV9NX01vTW9Nb01/TX9Nf02PTY9Nj02fTZ9Nn02vTa9Nv02/Tc9N303fTe9N703/Tg9OD04fTi9OP05PTl9Ob05/To9On06vTs9O307vTw9PH08vT09Pb09/T59Pv0/PT+9QD1AvUE9Qb1CPUK9Qz1DvUR9RP1FfUY9Rr1HPUf9SH1JPUm9Sn1K/Uu9TH1M/U29Tn1O/U+9UH1Q/VG9Un1TPVP9VH1VPVX9Vr1XPVf9WL1ZPVn9Wr1bPVv9XL1dPV39Xn1fPV+9YH1g/WG9Yj1ivWN9Y/1kfWT9ZX1l/WZ9Zv1nfWf9aH1ovWk9ab1p/Wp9ar1rPWt9a71sPWx9bL1s/W09bX1tvW39bj1ufW59br1uvW79bz1vPW89b31vfW99b31vfW99b31vfW99b31vfW99bz1vPW89bv1u/W69bn1ufW49bj1t/W29bX1tfW09bP1svWx9bD1r/Wu9a31rPWr9ar1qfWo9af1pvWl9aT1pPWj9aL1ofWg9Z/1nvWd9Z31nPWb9Zr1mvWZ9Zn1mPWY9Zf1l/WX9Zf1l/WX9Zf1l/WX9Zf1l/WY9Zj1mfWZ9Zr1m/Wc9Z31nvWf9aD1ovWj9aX1pvWo9ar1q/Wt9a/1sfW09bb1uPW69b31v/XC9cX1x/XK9c310PXS9dX12PXb9d714fXk9ej16/Xu9fH19PX39fr1/fYB9gT2B/YK9g32EPYT9hb2GfYc9h72IfYk9ib2KfYr9i72MPYz9jX2N/Y59jv2PfY+9kD2QvZD9kX2RvZH9kj2SfZK9kv2TPZM9k32TfZN9k72TvZO9k72TvZN9k32TfZM9kz2S/ZK9kr2SfZI9kf2RvZE9kP2QvZB9j/2PvY99jv2OvY49jf2NfY09jL2MfYv9i72LPYr9in2KPYm9iX2I/Yi9iD2H/Ye9hz2G/Ya9hn2GPYX9hb2FfYU9hP2E/YS9hL2EfYR9hD2EPYQ9hD2EPYQ9hD2EPYQ9hD2EfYR9hH2EvYT9hP2FPYV9hb2F/YY9hn2GvYb9h32HvYf9iH2IvYk9iX2J/Yp9ir2LPYu9i/2MfYz9jX2N/Y59jv2PfY+9kH2QvZE9ej16fXq9ev17PXu9e/18PXx9fL18/X09fX19vX39fj1+fX69fv1/PX99f71//YA9gH2AvYD9gT2BfYG9gf2CPYJ9gr2CvYL9gz2DfYO9g/2EPYR9hL2E/YU9hX2FvYX9hj2GfYZ9hr2G/Yc9h32HvYf9iD2IfYi9iP2JPYl9ib2J/Yo9in2KvYr9iz2LfYv9jD2MfYy9jP2NPY19jf2OPY59jr2O/Y99j72P/ZA9kL2Q/ZE9kX2RvZI9kn2SvZM9k32TvZP9lH2UvZT9lX2VvZX9lj2WvZb9lz2XfZe9l/2YfZi9mP2ZPZl9mb2Z/Zo9mn2avZr9mz2bfZu9m72b/Zw9nH2cfZy9nP2c/Z09nX2dfZ19nb2dvZ29nf2d/Z39nf2d/Z39nf2d/Z39nf2d/Z39nf2dvZ29nb2dfZ19nT2dPZz9nP2cvZx9nD2cPZv9m72bfZs9mv2avZp9mj2Z/Zm9mX2ZPZi9mH2YPZe9l32XPZa9ln2WPZW9lX2U/ZS9lD2T/ZN9kz2SvZI9kf2RfZE9kL2QfY/9j32PPY69jn2N/Y19jT2MvYw9i/2LfYs9ir2KfYn9iX2JPYi9iH2H/Ye9hz2G/YZ9hj2FvYV9hP2EvYR9g/2DvYM9gv2CvYI9gf2BvYE9gP2AvYB9gD1/vX99fz1+/X59fj19/X29fX19PXz9fH18PXv9e717fXs9ev16vXp9ef15vXl9eT14/Xi9eH14PXf9d313PXb9dr12fXY9df11fXU9dP10vXQ9c/1zvXN9cv1yvXJ9cf1xvXE9cP1wvXA9b/1vfW89br1ufW39bX1tPWy9bD1r/Wt9av1qvWo9ab1pPWi9aD1n/Wd9Zv1mfWX9ZX1k/WR9Y/1jfWL9Yn1h/WF9YL1gPV+9Xz1evV39XX1c/Vx9W71bPVq9Wf1ZfVj9WH1XvVc9Vr1V/VV9VP1UPVO9Uv1SfVH9UT1QvU/9T31O/U49Tb1M/Ux9S/1LPUq9Sj1JfUj9SH1HvUc9Rr1F/UV9RP1EPUO9Qz1CfUH9QX1AvUA9P70/PT59Pf09fTz9PH07vTs9Or06PTm9OT04fTf9N302/TZ9Nf01fTT9ND0zvTM9Mr0yPTG9MT0wvTA9L70vPS69Lj0tvS09LL0sPSu9Kz0qvSo9Kb0pPSj9KH0n/Sd9Jv0mfSX9JX0k/SS9JD0jvSM9Ir0iPSH9IX0g/SB9H/0fvR89Hr0ePR29HX0c/Rx9G/0bvRs9Gr0aPRn9GX0Y/Ri9GD0XvRc9Fv0WfRY9Fb0VPRS9FH0T/RO9Ez0SvRJ9Ef0RvRE9EL0QfQ/9D70PPQ69Dn0N/Q29DT0M/Qx9DD0LvQt9Cz0KvQp9Cf0JvQk9CP0IfQg9B/0HfQc9Bv0GfQY9Bb0FfQU9BP0EfQQ9A/0DfQM9Av0CvQI9Af0BvQF9AT0AvQB9ADz//P+8/3z/PP68/nz+PP38/bz9fP08/Pz8vPx8/Dz7/Pu8+3z7PPr8+rz6fPo8+fz5vPl8+Tz5PPj8+Lz4fPg89/z3vPe893z3PPb89vz2vPZ89jz1/PX89bz1fPV89Tz0/PT89Lz0vPR89Dz0PPP88/zzvPO883zzfPM88zzy/PL88vzyvPK88rzyfPJ88nzyPPI88jzyPPI88jzx/PH88fzx/PH88fzx/PH88fzx/PI88jzyPPI88jzyfPJ88nzyvPK88vzy/PL88zzzfPN887zzvPP89Dz0fPR89Lz0/PU89Xz1vPX89jz2fPa89vz3PPd897z4PPh8+Lz5PPl8+bz6PPp8+vz7PPt8+/z8PPy8/Tz9fP38/nz+vP88/7z//QB9AP0BfQG9Aj0CvQM9A70D/QR9BP0FfQX9Bn0G/Qd9B70IPQi9CT0JvQo9Cr0LPQu9C/0MfQz9DX0N/Q59Dr0PPQ+9ED0QvRD9EX0R/RJ9Er0TPRO9E/0UfRS9FT0VvRX9Fn0WvRc9F30X/Rg9GL0Y/Rl9Gb0Z/Rp9Gr0a/Rs9G70b/Rw9HH0cvR09HX0dvR39Hj0efR69Hv0fPR99H70f/SA9IH0gvSC9IP0hPSF9IX0hvSH9Ij0iPSJ9Ir0ivSL9Iv0jPSM9I30jfSO9I70jvSP9I/0kPSQ9JD0kPSR9JH0kfSR9JH0kvSS9JL0kvSS9JL0kvSS9JL0kvSS9JL0kfSR9JH0kfSR9JD0kPSQ9I/0j/SP9I70jvSN9I30jfSM9Iz0i/SL9Ir0ifSJ9Ij0iPSH9Ib0hvSF9IT0g/SD9IL0gfSA9ID0f/R+9H30fPR79Hv0evR59Hj0d/R29HX0dPR09HP0cvRx9HD0b/Ru9G30bPRr9Gr0avRp9Gj0Z/Rm9GX0ZPRj9GP0YvRh9GD0X/Re9F70XfRc9Fv0W/Ra9Fn0WfRY9Ff0V/RW9FX0VfRU9FP0U/RS9FL0UfRR9FH0UPRQ9FD0T/RP9E/0TvRO9E70TvRN9E30TfRN9E30TfRN9E30TfRN9E30TfRN9E30TvRO9E70TvRP9E/0T/RQ9FD0UPRR9FH0UvRS9FP0U/RU9FT0VfRV9Fb0V/RX9Fj0WfRZ9Fr0W/Rc9Fz0XfRe9F/0YPRg9GH0YvRj9GT0ZfRm9Gb0Z/Ro9Gn0avRr9Gz0bfRt9G70b/Rw9HH0cvRz9HT0dfR29Hb0d/R49Hn0evR79Hz0fPR99H70f/SA9ID0gfSC9IP0g/SE9IX0hvSG9If0iPSI9In0ivSK9Iv0jPSM9I30jfSO9I/0j/SQ9JD0kfSR9JL0k/ST9JT0lPSV9JX0lvSW9Jf0l/SY9Jn0mfSa9Jr0m/Sb9Jz0nfSd9J70n/Sf9KD0ofSi9KL0o/Sk9KX0pvSm9Kf0qPSp9Kr0q/Ss9K30rvSw9LH0svSz9LT0tvS39Lj0uvS79L30vvTA9MH0w/TF9Mb0yPTK9Mv0zfTP9NH00/TV9Nf02fTb9N303/Th9OP05fTn9On07PTu9PD08vT19Pf0+fT89P71APUD9QX1CPUK9Q31D/UR9RT1FvUZ9Rv1HfUg9SL1JPUn9Sn1LPUu9TD1MvU19Tf1OfU79T31QPVC9UT1RvVI9Ur1TPVO9VD1UfVT9VX1V/VY9Vr1W/Vd9V71YPVh9WP1ZPVl9Wb1Z/Vo9Wn1avVr9Wz1bfVu9W71b/Vw9XD1cfVx9XL1cvVy9XL1c/Vz9XP1c/Vz9XP1c/Vz9XL1cvVy9XL1cfVx9XD1cPVv9W/1bvVu9W31bfVs9Wv1a/Vq9Wn1afVo9Wf1ZvVl9WX1ZPVj9WL1YvVh9WD1X/Vf9V71XfVd9Vz1W/Vb9Vr1WvVZ9Vn1WPVY9Vj1V/VX9Vf1VvVW9Vb1VvVW9Vb1VvVW9Vf1V/VX9Vj1WPVY9Vn1WvVa9Vv1XPVc9V31XvVf9WD1YfVi9WT1ZfVm9Wf1afVq9Wz1bfVv9XH1cvV09Xb1d/V59Xv1ffV/9YH1g/WF9Yf1ifWL9Y31j/WR9ZP1lfWX9Zn1m/Wd9Z/1ofWj9aX1p/Wp9av1rfWv9bH1s/W19bb1uPW69bv1vfW/9cD1wvXD9cX1xvXH9cn1yvXL9cz1zfXO9c/10PXR9dL10/XT9dT11fXV9db11/XX9df12PXY9dj12PXZ9dn12fXZ9dn12fXZ9dn12fXY9dj12PXY9dj11/XX9df11vXW9db11fXV9dT11PXU9dP10/XS9dL10vXR9dH10fXQ9dD10PXP9c/1z/XO9c71zvXO9c71zfXN9c31zfXN9c31zfXN9c31zfXO9c71zvXO9c71z/XP9c/10PXQ9dD10fXR9dL10vXT9dT11PXV9db11vXX9dj12fXZ9dr12/Xc9d313vXf9eD14PXh9eL14/Xk9eX15vXn9Z71nvWf9aD1oPWh9aH1ovWi9aP1pPWk9aX1pfWm9ab1p/Wn9aj1qfWp9ar1qvWr9av1rPWs9a31rfWu9a71r/Wv9bD1sfWx9bL1svWz9bP1tPW09bX1tfW29bb1t/W39bj1uPW59bn1uvW69bv1u/W89bz1vfW99b71v/W/9b/1wPXB9cH1wvXC9cP1w/XE9cT1xfXG9cb1x/XH9cj1yPXJ9cn1yvXL9cv1zPXM9c31zvXO9c/1z/XQ9dD10fXS9dL10/XT9dT11PXV9db11vXX9df12PXY9dn12fXa9dr12/Xb9dz13PXd9d313fXe9d713/Xf9d/14PXg9eD14PXh9eH14fXh9eL14vXi9eL14vXi9eP14/Xj9eP14/Xj9eP14/Xj9eP14/Xi9eL14vXi9eL14vXh9eH14fXg9eD14PXf9d/13/Xe9d713fXd9dz13PXb9dv12vXa9dn12PXY9df11/XW9dX11PXU9dP10vXR9dH10PXP9c71zvXN9cz1y/XK9cn1yPXI9cf1xvXF9cT1w/XC9cH1wPXA9b/1vvW99bz1u/W69bn1uPW39bb1tvW19bT1s/Wy9bH1sPWv9a71rfWt9az1q/Wq9an1qPWn9ab1pvWl9aT1o/Wi9aH1oPWf9Z/1nvWd9Zz1m/Wb9Zr1mfWY9Zf1l/WW9ZX1lPWT9ZP1kvWR9ZD1j/WP9Y71jfWM9Yv1i/WK9Yn1iPWH9Yb1hvWF9YT1g/WC9YL1gfWA9X/1fvV99Xz1e/V69Xn1efV49Xf1dvV19XT1c/Vy9XH1cPVv9W71bPVs9Wr1afVo9Wf1ZvVl9WT1YvVh9WD1X/Ve9Vz1W/Va9Vn1V/VW9VX1U/VS9VH1T/VO9Uz1S/VK9Uj1R/VF9UT1QvVB9T/1PvU89Tv1OfU49Tb1NfUz9TH1MPUu9S31K/Up9Sj1JvUk9SP1IfUf9R71HPUa9Rn1F/UV9RT1EvUQ9Q/1DfUL9Qn1CPUG9QT1AvUB9P/0/fT89Pr0+PT29PX08/Tx9O/07vTs9Or06PTn9OX04/Ti9OD03vTd9Nv02fTX9Nb01PTS9NH0z/TN9Mz0yvTI9Mb0xfTD9ML0wPS+9L30u/S59Lj0tvS09LP0sfSv9K70rPSr9Kn0p/Sm9KT0o/Sh9J/0nvSc9Jv0mfSY9Jb0lPST9JH0kPSO9I30i/SK9Ij0hvSF9IP0gvSA9H/0ffR89Hr0efR39Hb0dPRz9HH0cPRv9G30a/Rq9Gn0Z/Rm9GT0Y/Rh9GD0X/Rd9Fz0WvRZ9Fj0VvRV9FP0UvRQ9E/0TvRM9Ev0SvRI9Ef0RvRE9EP0QvRA9D/0PvQ89Dv0OvQ49Df0NvQ19DP0MvQx9C/0LvQt9Cz0K/Qp9Cj0J/Qm9CX0I/Qi9CH0IPQf9B70HfQb9Br0GfQY9Bf0FvQV9BT0E/QR9BD0D/QO9A30DPQL9Ar0CfQI9Af0BvQF9AT0BPQD9AL0AfQA8//z/vP98/zz+/P78/rz+fP48/fz9vP28/Xz9PPz8/Pz8vPx8/Dz8PPv8+7z7vPt8+zz7PPr8+vz6vPp8+nz6PPo8+fz5/Pm8+bz5fPl8+Tz5PPk8+Pz4/Pi8+Lz4vPh8+Hz4fPh8+Dz4PPg8+Dz3/Pf89/z3/Pf89/z3/Pf89/z3/Pf89/z3/Pf89/z3/Pf8+Dz4PPg8+Dz4PPh8+Hz4fPi8+Lz4vPj8+Pz5PPk8+Xz5fPm8+bz5/Pn8+jz6fPp8+rz6/Pr8+zz7fPt8+7z7/Pw8/Hz8vPz8/Pz9PP18/bz9/P48/nz+vP78/zz/fP+8//0APQB9AP0BPQF9Ab0B/QI9An0CvQM9A30DvQP9BD0EfQT9BT0FfQW9Bf0GPQa9Bv0HPQd9B70IPQh9CL0I/Qk9Cb0J/Qo9Cn0KvQr9C30LvQv9DD0MfQy9DP0NPQ19Df0N/Q59Dr0O/Q89D30PvQ/9ED0QfRC9EP0Q/RE9EX0RvRH9Ej0SfRK9Ev0S/RM9E30TvRP9FD0UPRR9FL0U/RT9FT0VfRW9Fb0V/RY9Fj0WfRZ9Fr0W/Rb9Fz0XPRd9F70XvRf9F/0YPRg9GH0YfRi9GL0Y/Rj9GT0ZPRl9GX0ZvRm9Gb0Z/Rn9Gj0aPRo9Gn0afRp9Gr0avRq9Gr0a/Rr9Gv0bPRs9Gz0bPRs9G30bfRt9G30bfRu9G70bvRu9G70bvRu9G70bvRv9G/0b/Rv9G/0b/Rv9G/0bvRu9G70bvRu9G70bvRu9G70bfRt9G30bfRt9Gz0bPRs9Gz0a/Rr9Gv0avRq9Gr0afRp9Gn0aPRo9Gj0Z/Rn9Gb0ZvRl9GX0ZPRk9GP0Y/Ri9GL0YfRh9GD0YPRf9F/0XvRd9F30XPRc9Fv0WvRa9Fn0WfRY9Fj0V/RW9Fb0VfRU9FT0U/RT9FL0UfRR9FD0UPRP9E/0TvRO9E30TPRM9Ev0S/RK9Er0SfRJ9Ej0SPRI9Ef0R/RG9Eb0RvRF9EX0RPRE9ET0Q/RD9EP0Q/RC9EL0QvRC9EL0QvRB9EH0QfRB9EH0QfRB9EH0QfRB9EH0QfRB9EH0QfRB9EL0QvRC9EL0QvRD9EP0Q/RD9ET0RPRE9EX0RfRF9Eb0RvRG9Ef0R/RH9Ej0SPRJ9En0SvRK9Er0S/RL9Ez0TfRN9E70TvRP9E/0UPRQ9FH0UfRS9FL0U/RT9FT0VPRV9Fb0VvRX9Ff0WPRY9Fn0WfRa9Fv0W/Rc9Fz0XfRe9F70X/Rf9GD0YPRh9GH0YvRj9GP0ZPRk9GX0ZvRm9Gf0Z/Ro9Gn0afRq9Gr0a/Rs9Gz0bfRu9G/0b/Rw9HH0cfRy9HP0dPR09HX0dvR39Hj0efR69Hr0e/R89H30fvR/9ID0gfSC9IP0hPSF9If0iPSJ9Ir0i/SN9I70j/SR9JL0k/SV9Jb0mPSZ9Jv0nPSe9J/0ofSi9KT0pvSn9Kn0q/St9K70sPSy9LT0tvS49Lr0u/S99L/0wfTD9MX0x/TJ9Mv0zfTP9NH00/TV9Nf02fTc9N704PTi9OT05vTo9Or07PTu9PD08vT09Pb0+PT69Pz0/vUA9QL1BPUG9Qj1CfUL9Q31D/UR9RL1FPUW9Rf1GfUb9Rz1HvUf9SH1IvUj9SX1JvUn9Sn1KvUr9Sz1LfUu9S/1MPUx9TL1M/Uz9TT1NfU29Tb1N/U49Tj1OfU59Tn1OvU69Tr1O/U79Tv1O/U79Tv1O/U79Tv1O/U79Tv1O/U79Tv1O/U69Tr1OvU69Tn1OfU59Tj1OPU49Tf1N/U39Tb1NvU19TX1NPU09TP1M/Uz9TL1MvUx9TH1MfUw9TD1MPUv9S/1LvUu9S71LvUt9S31LfUt9Sz1LPUs9Sz1LPUs9Sz1LPUs9Sz1LPUs9Sz1LPUt9S31LfUt9S71LvUu9S/1L/Uw9TD1MfUx9TH1MvUz9TP1NPU19TX1NvU39Tj1OPU59Tr1O/U89T31PfU+9T/1QPVB9UL1Q/VE9UX1RvVH9Uj1SfVK9Uv1TPVN9U71T/VR9VL1U/VU9VX1VvVX9Vj1WfVa9Vv1XPVd9V71X/Vg9WH1YvVj9WP1ZPVl9Wb1Z/Vo9Wn1afVq9Wv1bPVt9W31bvVv9W/1cPVx9XL1cvVz9XP1dPV19XX1dvV29Xf1d/V49Xj1efV59Xr1evV79Xv1fPV89Xz1ffV99X71fvV/9X/1f/WA9YD1gPWB9YH1gvWC9YL1g/WD9YT1hPWE9YX1hfWF9Yb1hvWH9Yf1h/WI9Yj1ifWJ9Yr1ivWK9Yv1i/WM9Yz1jfWN9Y71jvWP9Y/1kPWQ9ZH1kfWS9ZL1k/WT9ZT1lPWV9ZX1lvWW9Zf1mPWY9Zn1mfWa9Zr1m/Wc9Zz1nfWd9Wv1bPVs9Wz1bfVt9W71bvVu9W/1b/Vw9XD1cPVx9XH1cvVy9XL1c/Vz9XP1dPV09XT1dPV19XX1dfV29Xb1dvV29Xf1d/V39Xf1ePV49Xj1ePV59Xn1efV59Xn1evV69Xr1evV69Xv1e/V79Xv1e/V79Xz1fPV89Xz1fPV89Xz1ffV99X31ffV99X31ffV99X31fvV+9X71fvV+9X71fvV+9X71fvV+9X71fvV+9X71f/V/9X/1f/V/9X/1f/V/9X/1f/V/9X/1f/V/9X/1f/V/9X/1f/V+9X71fvV+9X71fvV+9X71fvV+9X71fvV+9X31ffV99X31ffV99X31fPV89Xz1fPV89Xz1e/V79Xv1e/V69Xr1evV69Xn1efV59Xn1ePV49Xj1d/V39Xf1dvV29Xb1dfV19XT1dPV09XP1c/Vz9XL1cvVx9XH1cPVw9W/1b/Vv9W71bvVt9W31bPVs9Wv1a/Vq9Wr1afVp9Wj1aPVn9Wb1ZvVl9WX1ZPVk9WP1Y/Vi9WL1YfVh9WD1X/Vf9V71XvVd9V31XPVb9Vv1WvVa9Vn1WfVY9Vj1V/VW9Vb1VfVV9VT1VPVT9VP1UvVS9VH1UfVQ9VD1T/VO9U71TfVN9Uz1TPVL9Uv1SvVK9Un1SfVJ9Uj1SPVH9Uf1RvVF9UX1RfVE9UT1Q/VD9UL1QvVB9UH1QPVA9T/1P/U/9T71PfU99T31PPU89Tv1O/U69Tr1OfU59Tj1OPU39Tf1NvU29TX1NfU09TT1M/Uz9TL1MvUx9TH1MPUv9S/1LvUu9S31LfUs9Sv1K/Uq9Sr1KfUo9Sj1J/Um9Sb1JfUk9ST1I/Ui9SL1IfUg9R/1H/Ue9R31HPUc9Rv1GvUZ9Rj1GPUX9Rb1FfUU9RP1E/US9RH1EPUP9Q71DfUM9Qv1CvUJ9Qj1CPUH9Qb1BfUE9QP1AvUA9P/0//T99Pz0+/T69Pn0+PT39Pb09fT09PP08fTw9O/07vTt9Oz06/Tp9Oj05/Tm9OX05PTj9OH04PTf9N703fTb9Nr02fTY9Nb01fTU9NP00fTQ9M/0zvTN9Mv0yvTJ9Mf0xvTF9MT0w/TB9MD0v/S99Lz0u/S69Lj0t/S29LT0s/Sy9LH0r/Su9K30rPSq9Kn0qPSm9KX0pPSj9KH0oPSf9J30nPSb9Jr0mPSX9Jb0lfST9JL0kfSQ9I70jfSM9Iv0ifSI9If0hfSE9IP0gvSB9H/0fvR99Hz0evR59Hj0d/R19HT0c/Ry9HH0cPRu9G30bPRr9Gn0aPRn9Gb0ZfRk9GP0YfRg9F/0XvRd9Fz0W/RZ9Fj0V/RW9FX0VPRT9FL0UfRQ9E/0TvRM9Ev0SvRJ9Ej0R/RG9EX0RPRD9EL0QfRA9D/0PvQ99Dz0O/Q69Dn0OPQ49Df0NvQ19DT0M/Qy9DH0MPQw9C/0LvQt9Cz0K/Qr9Cr0KfQo9Cf0J/Qm9CX0JPQk9CP0IvQh9CH0IPQf9B/0HvQd9B30HPQb9Bv0GvQa9Bn0GPQY9Bf0F/QW9Bb0FfQV9BT0FPQT9BP0EvQS9BH0EfQR9BD0EPQP9A/0D/QO9A70DvQN9A30DfQN9Az0DPQM9Az0C/QL9Av0C/QL9Av0C/QK9Ar0CvQK9Ar0CvQK9Ar0CvQK9Ar0CvQK9Ar0CvQK9Ar0CvQL9Av0C/QL9Av0C/QM9Az0DPQM9A30DfQN9A30DvQO9A70D/QP9A/0EPQQ9BH0EfQS9BL0E/QT9BP0FPQU9BX0FfQW9Bb0F/QY9Bj0GfQZ9Br0G/Qb9Bz0HfQd9B70HvQf9CD0IPQh9CL0IvQj9CT0JfQl9Cb0J/Qn9Cj0KfQq9Cr0K/Qs9C30LfQu9C/0MPQw9DH0MvQz9DT0NPQ19Db0N/Q39Dj0OfQ59Dr0O/Q89D30PfQ+9D/0P/RA9EH0QfRC9EP0RPRE9EX0RvRG9Ef0SPRI9En0SvRK9Ev0TPRM9E30TvRO9E/0T/RQ9FD0UfRS9FL0U/RT9FT0VPRV9Fb0VvRX9Ff0WPRY9Fn0WfRZ9Fr0WvRb9Fv0XPRc9Fz0XfRd9F70XvRf9F/0X/Rg9GD0YPRh9GH0YfRi9GL0YvRi9GP0Y/Rj9GT0ZPRk9GT0ZfRl9GX0ZfRm9Gb0ZvRm9Gb0ZvRn9Gf0Z/Rn9Gf0Z/Rn9Gf0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRn9Gf0Z/Rn9Gf0Z/Rn9Gf0ZvRm9Gb0ZvRm9GX0ZfRl9GX0ZPRk9GT0Y/Rj9GP0Y/Ri9GL0YvRh9GH0YfRg9GD0X/Rf9F/0XvRe9F30XfRc9Fz0XPRb9Fv0WvRa9Fn0WfRY9Fj0V/RX9Fb0VvRV9FX0VPRU9FP0UvRS9FH0UfRQ9FD0T/RP9E70TvRN9E30TPRL9Ev0SvRK9En0SfRI9Ej0R/RH9Eb0RvRF9EX0RPRD9EP0QvRC9EL0QfRB9ED0QPQ/9D/0P/Q+9D70PfQ99D30PPQ89Dv0O/Q79Dr0OvQ69Dn0OfQ59Dn0OPQ49Dj0OPQ39Df0N/Q39Df0N/Q29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0N/Q39Df0N/Q39Df0N/Q49Dj0OPQ49Dn0OfQ59Dn0OvQ69Dr0OvQ79Dv0O/Q89Dz0PPQ99D30PfQ+9D70P/Q/9D/0QPRA9EH0QfRB9EL0QvRD9EP0RPRE9EX0RfRG9Eb0R/RH9Ej0SPRJ9Er0SvRL9Ev0TPRN9E30TvRP9E/0UPRR9FH0UvRT9FT0VPRV9Fb0V/RY9Fn0WfRa9Fv0XPRd9F70X/Rg9GH0YvRj9GT0ZfRm9Gf0aPRp9Gr0a/Rs9G30b/Rw9HH0cvRz9HX0dvR39Hn0evR79H30fvR/9IH0gvSE9IX0hvSI9Ir0i/SM9I70kPSR9JP0lPSW9Jj0mfSb9Jz0nvSg9KL0o/Sl9Kb0qPSq9Kz0rfSv9LH0s/S09Lb0uPS69Lv0vfS/9MD0wvTE9Mb0x/TJ9Mv0zfTO9ND00vTU9NX01/TY9Nr03PTd9N/04fTi9OT05fTn9Oj06vTr9O307vTw9PH08/T09PX09/T49Pn0+/T89P30/vT/9QH1AvUD9QT1BfUG9Qf1CPUJ9Qr1C/UM9Q31DfUO9Q/1EPUQ9RH1EvUS9RP1FPUU9RX1FfUW9Rb1F/UX9Rj1GPUY9Rn1GfUZ9Rr1GvUa9Rr1G/Ub9Rv1G/Ub9Rv1G/Uc9Rz1HPUc9Rz1HPUc9Rz1HPUc9Rz1HPUc9Rz1HPUb9Rv1G/Ub9Rv1G/Ub9Rv1G/Ub9Rr1GvUa9Rr1GvUa9Rr1GvUa9Rr1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rr1GvUa9Rr1GvUa9Rr1G/Ub9Rv1G/Ub9Rz1HPUc9Rz1HfUd9R31HvUe9R71H/Uf9R/1IPUg9SD1IfUh9SL1IvUi9SP1I/Uk9ST1JfUl9Sb1JvUn9Sf1KPUo9Sn1KfUq9Sr1K/Ur9Sz1LfUt9S71LvUv9TD1MPUx9TH1MvUy9TP1NPU09TX1NfU29Tf1N/U49Tn1OfU69Tr1O/U79Tz1PfU99T71P/U/9UD1QfVB9UL1QvVD9UP1RPVF9UX1RvVH9Uf1SPVI9Un1SvVK9Uv1S/VM9U31TfVO9U71T/VQ9VD1UfVR9VL1U/VT9VT1VPVV9VX1VvVX9Vf1WPVY9Vn1WvVa9Vv1W/Vc9Vz1XfVd9V71XvVf9WD1YPVh9WH1YvVi9WP1Y/Vk9WT1ZfVl9Wb1ZvVn9Wf1Z/Vo9Wn1afVp9Wr1avVr9Rz1HPUc9R31HfUd9R31HfUe9R71HvUe9R71HvUf9R/1H/Uf9R/1H/Uf9R/1H/Ug9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUf9R/1H/Uf9R/1H/Uf9R/1HvUe9R71HvUe9R71HvUd9R31HfUd9R31HPUc9Rz1HPUc9Rv1G/Ub9Rv1G/Ua9Rr1GvUa9Rn1GfUZ9Rn1GPUY9Rj1GPUX9Rf1F/UX9Rb1FvUW9RX1FfUV9RX1FPUU9RP1E/UT9RP1EvUS9RL1EfUR9RH1EPUQ9RD1D/UP9Q/1DvUO9Q71DfUN9Qz1DPUM9Qv1C/UL9Qr1CvUJ9Qn1CfUI9Qj1CPUH9Qf1BvUG9Qb1BfUF9QX1BPUE9QP1A/UC9QL1AvUB9QH1AfUA9QD0//T/9P/0/vT+9P70/fT99Pz0/PT89Pv0+/T69Pr0+vT59Pn0+fT49Pj09/T39Pf09vT29Pb09fT19PX09PT09PT08/Tz9PP08vTy9PL08fTx9PH08PTw9PD07/Tv9O/07/Tu9O707vTt9O307fTt9Oz07PTs9Oz06/Tr9Ov06vTq9Or06vTp9On06fTp9Oj06PTo9Oj06PTn9Of05/Tn9Ob05vTm9Ob05vTl9OX05fTl9OX05PTk9OT05PTk9OP04/Tj9OP04/Ti9OL04vTi9OH04fTh9OH04fTg9OD04PTg9OD03/Tf9N/03/Te9N703vTe9N703fTd9N303fTc9Nz03PTc9Nv02/Tb9Nr02vTa9Nr02fTZ9Nn02PTY9Nj01/TX9Nf01vTW9Nb01fTV9NX01PTU9NT00/TT9NL00vTR9NH00fTQ9ND0z/TP9M70zvTO9M30zfTM9Mz0y/TL9Mr0yvTJ9Mn0yPTH9Mf0xvTG9MX0xfTE9MT0w/TC9ML0wfTA9MD0v/S/9L70vfS99Lz0u/S79Lr0ufS49Lj0t/S29Lb0tfS09LT0s/Sy9LH0sfSw9K/0rvSt9K30rPSr9Kr0qvSp9Kj0p/Sm9KX0pfSk9KP0ovSh9KD0oPSf9J70nfSc9Jv0mvSa9Jn0mPSX9Jb0lfSU9JP0k/SS9JH0kPSP9I70jfSM9Iv0ivSJ9In0iPSH9Ib0hfSE9IP0gvSB9ID0f/R+9H30ffR89Hv0evR59Hj0d/R29HX0dPRz9HL0cvRx9HD0b/Ru9G30bPRr9Gr0afRp9Gj0Z/Rm9GX0ZPRj9GL0YfRh9GD0X/Re9F30XPRb9Fr0WvRZ9Fj0V/RW9Fb0VfRU9FP0UvRR9FH0UPRP9E70TfRN9Ez0S/RK9Er0SfRI9Ef0R/RG9EX0RPRE9EP0QvRC9EH0QPRA9D/0PvQ+9D30PPQ89Dv0OvQ69Dn0OPQ49Df0N/Q29Db0NfQ09DT0M/Qz9DL0MvQx9DH0MPQw9C/0L/Qu9C70LfQt9Cz0LPQs9Cv0K/Qq9Cr0KfQp9Cn0KPQo9Cj0J/Qn9Cf0JvQm9Cb0JfQl9CX0JfQk9CT0JPQk9CP0I/Qj9CP0I/Qi9CL0IvQi9CL0IvQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IPQg9CD0IPQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IvQi9CL0IvQi9CL0IvQj9CP0I/Qj9CP0JPQk9CT0JPQl9CX0JfQl9Cb0JvQm9Cb0J/Qn9Cf0J/Qo9Cj0KPQp9Cn0KfQp9Cr0KvQq9Cv0K/Qs9Cz0LPQt9C30LfQu9C70LvQv9C/0L/Qw9DD0MPQx9DH0MvQy9DL0M/Qz9DP0NPQ09DX0NfQ19Db0NvQ29Df0N/Q39Dj0OPQ59Dn0OfQ69Dr0OvQ79Dv0O/Q89Dz0PfQ99D30PvQ+9D70PvQ/9D/0P/RA9ED0QPRA9EH0QfRB9EL0QvRC9EL0Q/RD9EP0Q/RE9ET0RPRE9EX0RfRF9EX0RfRG9Eb0RvRG9Eb0RvRH9Ef0R/RH9Ef0R/RH9Ef0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0R/RH9Ef0R/RH9Ef0R/RH9Eb0RvRG9Eb0RvRG9EX0RfRF9EX0RfRE9ET0RPRE9EP0Q/RD9EP0QvRC9EL0QvRB9EH0QfRA9ED0QPRA9D/0P/Q/9D70PvQ+9D30PfQ89Dz0PPQ79Dv0O/Q69Dr0OfQ59Dn0OPQ49Df0N/Q39Db0NvQ19DX0NfQ09DT0M/Qz9DL0MvQx9DH0MPQw9DD0L/Qv9C70LvQt9C30LPQs9Cv0K/Qq9Cr0KvQp9Cn0KPQo9Cf0J/Qm9Cb0JfQl9CX0JPQk9CP0I/Qi9CL0IfQh9CD0IPQg9B/0H/Qe9B70HvQd9B30HPQc9Bz0G/Qb9Bv0GvQa9Bn0GfQZ9Bj0GPQY9Bf0F/QX9Bb0FvQW9Bb0FfQV9BX0FfQU9BT0FPQU9BP0E/QT9BP0E/QS9BL0EvQS9BL0EvQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EvQS9BL0EvQS9BL0E/QT9BP0E/QT9BT0FPQU9BT0FfQV9BX0FvQW9Bb0FvQX9Bf0GPQY9Bj0GfQZ9Br0GvQa9Bv0G/Qc9Bz0HfQd9B70HvQf9B/0IPQg9CH0IvQi9CP0I/Qk9CX0JfQm9Cf0J/Qo9Cn0KfQq9Cv0LPQs9C30LvQv9C/0MPQx9DL0M/Q09DT0NfQ29Df0OPQ59Dr0O/Q89D30PvQ/9ED0QfRC9EP0RPRF9Eb0R/RI9En0SvRL9Ez0TvRP9FD0UfRS9FP0VfRW9Ff0WPRZ9Fv0XPRd9F/0YPRh9GL0ZPRl9Gb0aPRp9Gr0bPRt9G70cPRx9HL0dPR19Hf0ePR69Hv0fPR+9H/0gfSC9IP0hfSG9Ij0ifSL9Iz0jfSP9JD0kvST9JX0lvSY9Jn0mvSc9J30n/Sg9KL0o/Sk9Kb0p/Sp9Kr0q/St9K70r/Sx9LL0s/S19Lb0t/S59Lr0u/S99L70v/TA9ML0w/TE9MX0xvTH9Mn0yvTL9Mz0zfTO9M/00PTR9NL00/TU9NX01vTX9Nj02fTa9Nv03PTd9N703vTf9OD04fTi9OL04/Tk9OX05fTm9Of05/To9Oj06fTq9Or06/Tr9Oz07fTt9O707vTu9O/07/Tw9PD08PTx9PH08vTy9PL08/Tz9PP09PT09PT09PT19PX09fT19Pb09vT29Pb09vT29Pf09/T39Pf09/T39Pf09/T39Pj0+PT49Pj0+PT49Pj0+PT49Pj0+PT49Pj0+PT49Pj0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+vT69Pr0+vT69Pr0+vT69Pr0+vT69Pr0+vT79Pv0+/T79Pv0+/T79Pv0/PT89Pz0/PT89Pz0/PT99P30/fT99P30/vT+9P70/vT+9P70//T/9P/0//T/9QD1APUA9QD1AfUB9QH1AfUC9QL1AvUC9QP1A/UD9QP1BPUE9QT1BfUF9QX1BvUG9Qb1BvUH9Qf1B/UI9Qj1CPUI9Qn1CfUJ9Qr1CvUK9Qv1C/UL9Qz1DPUM9Q31DfUN9Q71DvUO9Q/1D/UP9RD1EPUQ9RD1EfUR9RH1EvUS9RL1E/UT9RP1FPUU9RT1FfUV9RX1FvUW9Rb1FvUX9Rf1F/UY9Rj1GPUY9Rj1GfUZ9Rn1GfUa9Rr1GvUa9Rv1G/Ub9Rv1HPUc9LD0r/Sv9K/0r/Sv9K/0r/Sv9K/0rvSu9K70rvSu9K70rvSu9K30rfSt9K30rfSt9K30rfSs9Kz0rPSs9Kz0rPSs9Kv0q/Sr9Kv0q/Sr9Kv0qvSq9Kr0qvSq9Kr0qfSp9Kn0qfSp9Kn0qPSo9Kj0qPSn9Kf0p/Sn9Kf0p/Sm9Kb0pvSm9Kb0pfSl9KX0pfSl9KT0pPSk9KT0pPSj9KP0o/Sj9KL0ovSi9KL0ovSh9KH0ofSh9KD0oPSg9KD0n/Sf9J/0n/Sf9J70nvSe9J70nfSd9J30nfSc9Jz0nPSc9Jv0m/Sb9Jv0m/Sa9Jr0mvSa9Jn0mfSZ9Jn0mPSY9Jj0mPSY9Jf0l/SX9Jf0lvSW9Jb0lvSV9JX0lfSV9JT0lPSU9JT0lPST9JP0k/ST9JP0kvSS9JL0kvSS9JH0kfSR9JH0kPSQ9JD0kPSQ9I/0j/SP9I/0j/SO9I70jvSO9I70jvSN9I30jfSN9I30jfSM9Iz0jPSM9Iz0jPSL9Iv0i/SL9Iv0i/SL9Iv0ivSK9Ir0ivSK9Ir0ivSK9Ir0ifSJ9In0ifSJ9In0ifSJ9In0ifSI9Ij0iPSI9Ij0iPSI9Ij0iPSI9Ij0iPSI9If0h/SH9If0h/SH9If0h/SH9If0h/SH9If0h/SH9If0h/SH9If0h/SG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hfSF9IX0hfSF9IX0hfSF9IX0hfSF9IX0hfSF9IX0hfSF9IX0hfSE9IT0hPSE9IT0hPSE9IT0hPSE9IT0g/SD9IP0g/SD9IP0g/SD9IP0gvSC9IL0gvSC9IL0gvSB9IH0gfSB9IH0gfSA9ID0gPSA9ID0f/R/9H/0f/R+9H70fvR+9H30ffR99H30fPR89Hz0fPR79Hv0e/R79Hr0evR69Hn0efR59Hj0ePR49Hf0d/R39Hb0dvR29HX0dfR19HT0dPRz9HP0c/Ry9HL0cvRx9HH0cPRw9HD0b/Rv9G70bvRt9G30bPRs9Gz0a/Rr9Gr0avRp9Gn0aPRo9Gf0Z/Rm9Gb0ZfRl9GT0ZPRj9GP0YvRi9GH0YfRg9GD0X/Rf9F70XvRd9F30XPRc9Fv0W/Ra9Fn0WfRZ9Fj0V/RX9Fb0VvRV9FX0VPRU9FP0UvRS9FH0UfRQ9FD0T/RP9E70TvRN9Ez0TPRL9Ev0SvRK9En0SPRI9Ej0R/RG9Eb0RfRF9ET0RPRD9EP0QvRB9EH0QPRA9D/0P/Q+9D70PfQ99Dz0PPQ79Dv0OvQ69Dn0OfQ49Dj0N/Q39Db0NvQ19DX0NPQ09DP0M/Qy9DL0MfQx9DH0MPQw9C/0L/Qu9C70LvQt9C30LPQs9Cz0K/Qr9Cr0KvQp9Cn0KfQo9Cj0KPQn9Cf0J/Qm9Cb0JfQl9CX0JPQk9CT0I/Qj9CP0IvQi9CL0IvQh9CH0IfQg9CD0IPQg9B/0H/Qf9B/0HvQe9B70HvQd9B30HfQd9B30HPQc9Bz0HPQc9Bv0G/Qb9Bv0G/Qa9Br0GvQa9Br0GvQZ9Bn0GfQZ9Bn0GfQZ9Bj0GPQY9Bj0GPQY9Bj0GPQY9Bj0F/QX9Bf0F/QX9Bf0F/QX9Bf0F/QX9Bf0F/QX9Bf0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9BX0FfQV9BX0FfQV9BX0FfQV9BX0FfQV9BX0FPQU9BT0FPQU9BT0FPQU9BT0E/QT9BP0E/QT9BP0E/QT9BL0EvQS9BL0EvQR9BH0EfQR9BH0EfQQ9BD0EPQQ9BD0EPQP9A/0D/QP9A70DvQO9A70DvQN9A30DfQN9A30DPQM9Az0DPQL9Av0C/QL9Ar0CvQK9An0CfQJ9An0CPQI9Aj0CPQH9Af0B/QG9Ab0BvQF9AX0BfQF9AT0BPQE9AP0A/QD9AP0AvQC9AL0AfQB9AH0APQA9ADz//P/8//z/vP+8/7z/fP98/3z/PP88/zz+/P78/vz+vP68/rz+vP58/nz+PP48/jz9/P38/fz9/P28/bz9vP18/Xz9fP08/Tz9PP08/Pz8/Pz8/Lz8vPy8/Hz8fPx8/Dz8PPw8/Dz7/Pv8+/z7/Pu8+7z7vPu8+3z7fPt8+3z7PPs8+zz7PPs8+vz6/Pr8+vz6/Pq8+rz6vPq8+rz6vPp8+nz6fPp8+nz6fPo8+jz6PPo8+jz6PPo8+jz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+jz6PPo8+jz6PPo8+jz6PPp8+nz6fPp8+nz6vPq8+rz6vPq8+vz6/Pr8+vz7PPs8+zz7PPt8+3z7fPt8+7z7vPu8+/z7/Pv8/Dz8PPx8/Hz8fPy8/Lz8/Pz8/Tz9PP08/Xz9fP28/bz9/P38/jz+PP58/nz+vP68/vz/PP88/3z/fP+8/7z//QA9AD0AfQC9AL0A/QD9AT0BfQF9Ab0B/QH9Aj0CfQK9Ar0C/QM9A30DfQO9A/0EPQQ9BH0EvQT9BT0FfQV9Bb0F/QY9Bn0GvQa9Bv0HPQd9B70H/Qg9CH0IvQi9CP0JPQl9Cb0J/Qo9Cn0KvQr9Cz0LfQu9C/0MPQx9DL0M/Q09DX0NvQ39Dj0OfQ69Dv0PPQ99D70P/RA9EH0QvRD9EX0RvRH9Ej0SfRK9Ev0TPRN9E70T/RQ9FH0UvRU9FX0VvRX9Fj0WfRa9Fv0XPRd9F70YPRh9GL0Y/Rk9GX0ZvRn9Gj0afRq9Gv0bPRt9G70b/Rx9HL0cvR09HX0dvR39Hj0efR69Hv0fPR99H70f/SA9IH0gvSC9IP0hPSF9Ib0h/SI9In0ivSL9Iz0jfSN9I70j/SQ9JH0kvST9JP0lPSV9Jb0l/SY9Jj0mfSa9Jv0m/Sc9J30nfSe9J/0oPSg9KH0ovSi9KP0pPSk9KX0pfSm9Kf0p/So9Kj0qfSq9Kr0q/Sr9Kz0rPSt9K30rvSu9K70r/Sv9LD0sPSx9LH0svSy9LL0s/Sz9LP0tPS09LT0tfS19LX0tfS29Lb0tvS39Lf0t/S39Lj0uPS49Lj0uPS59Ln0ufS59Ln0uvS69Lr0uvS69Lr0uvS69Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0vPS89Lz0vPS89Lz0vPS89Lz0vPS89Lz0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0uvS69Lr0uvS69Lr0uvS69Lr0uvS69Lr0ufS59Ln0ufS59Ln0ufS59Ln0ufS59Lj0uPS49Lj0uPS49Lj0uPS49Lj0uPS39Lf0t/S39Lf0t/S39Lf0t/S39Lf0tvS29Lb0tvS29Lb0tvS29Lb0tvS29Lb0tfS19LX0tfS19LX0tfS19LX0tfS19LX0tfS09LT0tPS09LT0tPS09LT0tPS09LT0tPS09LT0s/Sz9LP0s/Sz9LP0s/Sz9LP0s/Sz9LP0s/Sy9LL0svSy9LL0svSy9LL0svSy9LL0svSx9LH0sfSx9LH0sfSx9LH0sfSx9LH0sPSw9LD0sPSw9LD0sPSw9HD0b/Rv9G/0b/Ru9G70bvRu9G70bfRt9G30bfRs9Gz0bPRs9Gz0a/Rr9Gv0a/Rr9Gr0avRq9Gr0avRp9Gn0afRp9Gn0aPRo9Gj0aPRo9Gf0Z/Rn9Gf0Z/Rn9Gb0ZvRm9Gb0ZvRl9GX0ZfRl9GX0ZPRk9GT0ZPRk9GP0Y/Rj9GP0Y/Rj9GL0YvRi9GL0YvRi9GH0YfRh9GH0YfRh9GD0YPRg9GD0YPRg9F/0X/Rf9F/0X/Rf9F/0XvRe9F70XvRe9F70XvRd9F30XfRd9F30XfRc9Fz0XPRc9Fz0XPRc9Fz0W/Rb9Fv0W/Rb9Fv0W/Rb9Fr0WvRa9Fr0WvRa9Fr0WvRa9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRV9FX0VfRV9FX0VfRV9FT0VPRU9FT0VPRU9FT0U/RT9FP0U/RT9FP0U/RS9FL0UvRS9FL0UvRR9FH0UfRR9FH0UPRQ9FD0UPRQ9FD0T/RP9E/0T/RP9E70TvRO9E70TvRN9E30TfRN9E30TPRM9Ez0TPRL9Ev0S/RL9Er0SvRK9Er0SfRJ9En0SfRI9Ej0SPRI9Ej0R/RH9Ef0R/RG9Eb0RvRG9EX0RfRF9EX0RPRE9ET0Q/RD9EP0Q/RC9EL0QvRB9EH0QfRB9ED0QPRA9ED0P/Q/9D/0P/Q+9D70PvQ99D30PfQ99Dz0PPQ89Dv0O/Q79Dv0OvQ69Dr0OfQ59Dn0OfQ49Dj0OPQ49Df0N/Q39Db0NvQ29Db0NfQ19DX0NfQ09DT0NPQz9DP0M/Qz9DL0MvQy9DH0MfQx9DH0MPQw9DD0MPQv9C/0L/Qv9C70LvQu9C30LfQt9C30LPQs9Cz0LPQr9Cv0K/Qr9Cr0KvQq9Cr0KfQp9Cn0KfQo9Cj0KPQo9Cf0J/Qn9Cf0JvQm9Cb0JvQl9CX0JfQl9CX0JPQk9CT0JPQj9CP0I/Qj9CL0IvQi9CL0IfQh9CH0IfQh9CD0IPQg9CD0H/Qf9B/0H/Qf9B70HvQe9B70HvQd9B30HfQd9B30HPQc9Bz0HPQc9Bv0G/Qb9Bv0G/Qa9Br0GvQa9Br0GfQZ9Bn0GfQZ9Bj0GPQY9Bj0GPQX9Bf0F/QX9Bf0FvQW9Bb0FvQW9Bb0FfQV9BX0FfQV9BX0FPQU9BT0FPQU9BP0E/QT9BP0E/QS9BL0EvQS9BL0EfQR9BH0EfQR9BH0EPQQ9BD0EPQQ9A/0D/QP9A/0D/QP9A70DvQO9A70DvQO9A30DfQN9A30DfQM9Az0DPQM9Az0DPQL9Av0C/QL9Av0CvQK9Ar0CvQK9An0CfQJ9An0CfQI9Aj0CPQI9Aj0CPQH9Af0B/QH9Af0BvQG9Ab0BvQG9AX0BfQF9AX0BfQF9AT0BPQE9AT0BPQD9AP0A/QD9AP0A/QC9AL0AvQC9AL0AfQB9AH0AfQB9AD0APQA9AD0APP/8//z//P/8//z/vP+8/7z/vP+8/7z/fP98/3z/fP98/3z/PP88/zz/PP88/vz+/P78/vz+/P78/rz+vP68/rz+vP68/nz+fP58/nz+fP48/jz+PP48/jz+PP48/fz9/P38/fz9/P38/bz9vP28/bz9vP28/bz9vP18/Xz9fP18/Xz9fP18/Xz9PP08/Tz9PP08/Tz9PP08/Tz9PPz8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz8/Py8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz9PP08/Tz9PP08/Tz9PP08/Xz9fP18/Xz9fP18/Xz9vP28/bz9vP28/fz9/P38/fz9/P48/jz+PP48/nz+fP58/nz+vP68/rz+vP78/vz+/P88/zz/PP88/3z/fP98/7z/vP+8/7z//P/8//0APQA9AD0AfQB9AL0AvQC9AP0A/QE9AT0BPQF9AX0BfQG9Ab0B/QH9Af0CPQI9An0CfQK9Ar0C/QL9Az0DPQM9A30DfQO9A70D/QP9BD0EPQR9BH0EvQS9BP0E/QU9BT0FfQV9Bb0FvQX9Bf0GPQY9Bn0GvQa9Bv0G/Qc9Bz0HfQe9B70H/Qf9CD0IPQh9CL0IvQj9CP0JPQl9CX0JvQm9Cf0KPQo9Cn0KfQq9Cv0K/Qs9C30LfQu9C/0L/Qw9DD0MfQy9DL0M/Q09DT0NfQ29Db0N/Q39Dj0OfQ59Dr0O/Q79Dz0PfQ99D70P/Q/9ED0QPRB9EL0QvRD9ET0RPRF9Eb0RvRH9Ej0SPRJ9Er0SvRL9Ez0TPRN9E70TvRP9E/0UPRR9FH0UvRT9FP0VPRU9FX0VvRW9Ff0WPRY9Fn0WfRa9Fv0W/Rc9Fz0XfRe9F70X/Rf9GD0YfRh9GL0YvRj9GP0ZPRk9GX0ZvRm9Gf0Z/Ro9Gj0afRp9Gr0avRr9Gv0bPRs9G30bfRu9G/0b/Rw9HD0cfRx9HH0cvRy9HP0c/R09HT0dfR19HX0dvR29Hf0d/R49Hj0ePR59Hn0evR69Hr0e/R79Hv0fPR89Hz0ffR99H30fvR+9H70f/R/9H/0gPSA9ID0gfSB9IH0gfSC9IL0gvSC9IP0g/SD9IP0hPSE9IT0hPSE9IX0hfSF9IX0hfSG9Ib0hvSG9Ib0hvSH9If0h/SH9If0h/SI9Ij0iPSI9Ij0iPSI9Ij0iPSI9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9Ij0iPSI9Ij0iPSI9Ij0iPSI9Ij0iPSI9If0h/SH9If0h/SH9If0h/SG9Ib0hvSG9Ib0hvSG9IX0hfSF9IX0hfSF9IX0hPSE9IT0hPSE9IT0g/SD9IP0g/SD9IP0gvSC9IL0gvSC9IL0gfSB9IH0gfSB9IH0gPSA9ID0gPSA9H/0f/R/9H/0f/R+9H70fvR+9H70ffR99H30ffR89Hz0fPR89Hz0e/R79Hv0e/R79Hr0evR69Hr0evR59Hn0efR59Hn0ePR49Hj0ePR49Hf0d/R39Hf0dvR29Hb0dvR19HX0dfR19HX0dPR09HT0dPR09HP0c/Rz9HP0cvRy9HL0cvRy9HH0cfRx9HH0cfRw9HD0cPRw9HX0dfR19HX0dfR19HX0dfR09HT0dPR09HT0dPR09HT0dPR09HT0c/Rz9HP0c/Rz9HP0c/Rz9HP0c/Rz9HL0cvRy9HL0cvRy9HL0cvRy9HL0cvRy9HL0cfRx9HH0cfRx9HH0cfRx9HH0cfRx9HH0cPRw9HD0cPRw9HD0cPRw9HD0cPRw9HD0b/Rv9G/0b/Rv9G/0b/Rv9G/0b/Rv9G/0b/Ru9G70bvRu9G70bvRu9G70bvRu9G70bvRu9G30bfRt9G30bfRt9G30bfRt9G30bfRt9G30bfRt9Gz0bPRs9Gz0bPRs9Gz0bPRs9Gz0bPRs9Gz0bPRs9Gz0bPRr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZPRk9GT0ZPRk9GT0ZPRk9GT0ZPRk9GT0ZPRk9GT0ZPRk9GT0Y/Rj9GP0Y/Rj9GP0Y/Rj9GP0Y/Rj9GP0Y/Rj9GP0Y/Ri9GL0YvRi9GL0YvRi9GL0YvRi9GL0YvRi9GH0YfRh9GH0YfRh9GH0YfRh9GH0YfRh9GH0YfRg9GD0YPRg9GD0YPRg9GD0YPRg9GD0YPRf9F/0X/Rf9F/0X/Rf9F/0X/Rf9F70XvRe9F70XvRe9F70XvRe9F70XvRd9F30XfRd9F30XfRd9F30XPRc9Fz0XPRc9Fz0XPRc9Fz0XPRb9Fv0W/Rb9Fv0W/Rb9Fv0W/Ra9Fr0WvRa9Fr0WvRa9Fr0WvRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRY9Fj0WPRY9Fj0WPRY9Fj0WPRX9Ff0V/RX9Ff0V/RX9Ff0VvRW9Fb0VvRW9Fb0VvRW9FX0VfRV9FX0VfRV9FX0VPRU9FT0VPRU9FT0VPRU9FP0U/RT9FP0U/RT9FP0U/RS9FL0UvRS9FL0UvRS9FL0UfRR9FH0UfRR9FH0UfRR9FD0UPRQ9FD0UPRQ9FD0UPRQ9E/0T/RP9E/0T/RP9E/0TvRO9E70TvRO9E70TvRO9E30TfRN9E30TfRN9E30TfRM9Ez0TPRM9Ez0TPRM9Ev0S/RL9Ev0S/RL9Ev0S/RK9Er0SvRK9Er0SvRK9Er0SfRJ9En0SfRJ9En0SfRJ9En0SPRI9Ej0SPRI9Ej0SPRI9Ej0R/RH9Ef0R/RH9Ef0R/RH9Eb0RvRG9Eb0RvRG9Eb0RvRG9EX0RfRF9EX0RfRF9EX0RfRF9ET0RPRE9ET0RPRE9ET0RPRD9EP0Q/RD9EP0Q/RD9EP0Q/RC9EL0QvRC9EL0QvRC9EL0QvRC9EH0QfRB9EH0QfRB9EH0QfRB9EH0QfRA9ED0QPRA9ED0QPRA9ED0QPRA9ED0QPQ/9D/0P/Q/9D/0P/Q/9D/0P/Q/9D/0P/Q+9D70PvQ+9D70PvQ+9D70PvQ+9D70PvQ+9D30PfQ99D30PfQ99D30PfQ99D30PfQ99D30PfQ99Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ99D30PfQ99D30PfQ99D30PfQ99D30PfQ99D70PvQ+9D70PvQ+9D70PvQ+9D70P/Q/9D/0P/Q/9D/0P/Q/9D/0QPRA9ED0QPRA9ED0QPRA9ED0QPRB9EH0QfRB9EH0QfRB9EL0QvRC9EL0QvRC9EL0Q/RD9EP0Q/RD9EP0Q/RE9ET0RPRE9ET0RPRF9EX0RfRF9EX0RfRG9Eb0RvRG9Eb0RvRH9Ef0R/RH9Ef0R/RI9Ej0SPRI9Ej0SPRJ9En0SfRJ9En0SvRK9Er0SvRK9Ev0S/RL9Ev0S/RM9Ez0TPRM9Ez0TfRN9E30TfRO9E70TvRO9E70T/RP9E/0T/RP9FD0UPRQ9FD0UPRR9FH0UfRR9FL0UvRS9FL0UvRT9FP0U/RT9FT0VPRU9FT0VPRV9FX0VfRV9Fb0VvRW9Fb0V/RX9Ff0V/RY9Fj0WPRY9Fn0WfRZ9Fn0WfRa9Fr0WvRa9Fv0W/Rb9Fv0XPRc9Fz0XPRc9F30XfRd9F70XvRe9F70XvRf9F/0X/Rf9GD0YPRg9GD0YfRh9GH0YfRh9GL0YvRi9GL0Y/Rj9GP0Y/Rk9GT0ZPRk9GX0ZfRl9GX0ZvRm9Gb0ZvRm9Gf0Z/Rn9Gf0aPRo9Gj0aPRo9Gn0afRp9Gn0afRq9Gr0avRq9Gv0a/Rr9Gv0a/Rs9Gz0bPRs9Gz0bfRt9G30bfRt9G70bvRu9G70b/Rv9G/0b/Rv9HD0cPRw9HD0cPRx9HH0cfRx9HH0cfRy9HL0cvRy9HL0cvRz9HP0c/Rz9HP0c/R09HT0dPR09HT0dPR19HX0dfR19HX0dfR29Hb0dvR29Hb0dvR39Hf0d/R39Hf0d/R39Hj0ePR49Hj0ePR49Hj0ePR59Hn0efR59Hn0efR59Hn0evR69Hr0evR69Hr0evR69Hr0evR69Hv0e/R79Hv0e/R79Hv0e/R79Hv0e/R89Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR89Hz0ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR79Hv0e/R79Hv0e/R79Hv0e/R79Hv0e/R79Hv0e/R69Hr0evR69Hr0evR69Hr0evR69Hr0evR69Hr0efR59Hn0efR59Hn0efR59Hn0efR59Hn0ePR49Hj0ePR49Hj0ePR49Hj0ePR49Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R29Hb0dvR29Hb0dvR29Hb0dvR29HX0dfR19Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/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datab = base64.parse(data);\nconst dt = new DataView(datab.buffer, datab.byteOffset, datab.byteLength);\n\nconst getData = (id) => {\n  return dt.getInt16(id * 2, false)\n};\n\nconst getValue = (row, col) => {\n  const k = row * NUM_COLS + col;\n\n  return getData(k) / 100\n};\n\nconst degreesToRadians = (degrees) => {\n  return degrees * (Math.PI / 180)\n};\n\nconst normalizeRadians = (rads, center = 0) => {\n  return rads - (2 * Math.PI) * Math.floor((rads + Math.PI - center) / (2 * Math.PI))\n};\n\nconst INTERVAL = degreesToRadians(15 / 60);\nconst NUM_ROWS = 721;\nconst NUM_COLS = 1440;\n\n/**\n * Gets the mean sea level according to the EGM96.\n *\n * @param {number} latitude The latitude in degrees\n * @param {number} longitude The longitude in degrees\n * @returns {number} The mean sea level in meters, relative to the WGS84 ellipsoid.\n */\nfunction meanSeaLevel (latitude, longitude) {\n  const lat = normalizeRadians(degreesToRadians(latitude));\n  if (lat > Math.PI || lat < -Math.PI) {\n    throw new Error('Invalid latitude')\n  }\n  const lon = normalizeRadians(degreesToRadians(longitude));\n\n  let topRow = Math.floor(((Math.PI / 2) - lat) / INTERVAL);\n  topRow = topRow === NUM_ROWS - 1 ? topRow - 1 : topRow;\n  const bottomRow = topRow + 1;\n\n  const leftCol = Math.floor(normalizeRadians(lon, Math.PI) / INTERVAL);\n  const rightCol = (leftCol + 1) % NUM_COLS;\n\n  const topLeft = getValue(topRow, leftCol);\n  const bottomLeft = getValue(bottomRow, leftCol);\n  const bottomRight = getValue(bottomRow, rightCol);\n  const topRight = getValue(topRow, rightCol);\n\n  const lonLeft = normalizeRadians(leftCol * INTERVAL);\n  const latTop = (Math.PI / 2) - (topRow * INTERVAL);\n\n  const leftProp = (lon - lonLeft) / INTERVAL;\n  const topProp = (latTop - lat) / INTERVAL;\n\n  return bilinearInterpolation(topLeft, bottomLeft, bottomRight, topRight, leftProp, topProp)\n}\n\nconst bilinearInterpolation = (topLeft, bottomLeft, bottomRight, topRight, x, y) => {\n  const top = linearInterpolation(topLeft, topRight, x);\n  const bottom = linearInterpolation(bottomLeft, bottomRight, x);\n\n  return linearInterpolation(top, bottom, y)\n};\n\nconst linearInterpolation = (a, b, prop) => {\n  return a + ((b - a) * prop)\n};\n\n/**\n * Converts a WGS84's ellipsoid-relative altitude to an EGM96-relative\n * altitude.\n *\n * @param {number} latitude The latitude in degrees\n * @param {number} longitude The longitude in degrees\n * @param {number} altitude The altitude relative to the WGS84's ellipsoid in meters\n * @returns {number} The altitude relative to EGM96 in meters\n */\nfunction ellipsoidToEgm96 (latitude, longitude, altitude) {\n  const ms = meanSeaLevel(latitude, longitude);\n  return altitude - ms\n}\n\n/**\n * Converts an EGM96-relative altitude to a WGS84's ellipsoid-relative\n * altitude.\n *\n * @param {number} latitude The latitude in degrees\n * @param {number} longitude The longitude in degrees\n * @param {number} altitude The altitude relative to EGM96 in meters\n * @returns {number} The altitude relative to the WGS84's ellipsoid in meters\n */\nfunction egm96ToEllipsoid (latitude, longitude, altitude) {\n  const ms = meanSeaLevel(latitude, longitude);\n  return altitude + ms\n}\n\nexport { egm96ToEllipsoid, ellipsoidToEgm96, meanSeaLevel };\n","(function (global, factory) {\n\ttypeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory(require('ol/control/Control'), require('ol/Observable'), require('ol/layer/Group')) :\n\ttypeof define === 'function' && define.amd ? define(['ol/control/Control', 'ol/Observable', 'ol/layer/Group'], factory) :\n\t(global.LayerSwitcher = factory(global.ol.control.Control,global.ol.Observable,global.ol.layer.Group));\n}(this, (function (Control,ol_Observable,LayerGroup) { 'use strict';\n\nControl = 'default' in Control ? Control['default'] : Control;\nLayerGroup = 'default' in LayerGroup ? LayerGroup['default'] : LayerGroup;\n\nvar classCallCheck = function (instance, Constructor) {\n  if (!(instance instanceof Constructor)) {\n    throw new TypeError(\"Cannot call a class as a function\");\n  }\n};\n\nvar createClass = function () {\n  function defineProperties(target, props) {\n    for (var i = 0; i < props.length; i++) {\n      var descriptor = props[i];\n      descriptor.enumerable = descriptor.enumerable || false;\n      descriptor.configurable = true;\n      if (\"value\" in descriptor) descriptor.writable = true;\n      Object.defineProperty(target, descriptor.key, descriptor);\n    }\n  }\n\n  return function (Constructor, protoProps, staticProps) {\n    if (protoProps) defineProperties(Constructor.prototype, protoProps);\n    if (staticProps) defineProperties(Constructor, staticProps);\n    return Constructor;\n  };\n}();\n\n\n\n\n\n\n\nvar get = function get(object, property, receiver) {\n  if (object === null) object = Function.prototype;\n  var desc = Object.getOwnPropertyDescriptor(object, property);\n\n  if (desc === undefined) {\n    var parent = Object.getPrototypeOf(object);\n\n    if (parent === null) {\n      return undefined;\n    } else {\n      return get(parent, property, receiver);\n    }\n  } else if (\"value\" in desc) {\n    return desc.value;\n  } else {\n    var getter = desc.get;\n\n    if (getter === undefined) {\n      return undefined;\n    }\n\n    return getter.call(receiver);\n  }\n};\n\nvar inherits = function (subClass, superClass) {\n  if (typeof superClass !== \"function\" && superClass !== null) {\n    throw new TypeError(\"Super expression must either be null or a function, not \" + typeof superClass);\n  }\n\n  subClass.prototype = Object.create(superClass && superClass.prototype, {\n    constructor: {\n      value: subClass,\n      enumerable: false,\n      writable: true,\n      configurable: true\n    }\n  });\n  if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass;\n};\n\n\n\n\n\n\n\n\n\n\n\nvar possibleConstructorReturn = function (self, call) {\n  if (!self) {\n    throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\");\n  }\n\n  return call && (typeof call === \"object\" || typeof call === \"function\") ? call : self;\n};\n\n/**\n * @protected\n */\nvar CSS_PREFIX = 'layer-switcher-';\n/**\n * OpenLayers LayerSwitcher Control, displays a list of layers and groups\n * associated with a map which have a `title` property.\n *\n * To be shown in the LayerSwitcher panel layers must have a `title` property;\n * base map layers should have a `type` property set to `base`. Group layers\n * (`LayerGroup`) can be used to visually group layers together; a group\n * with a `fold` property set to either `'open'` or `'close'` will be displayed\n * with a toggle.\n *\n * See [BaseLayerOptions](#baselayeroptions) for a full list of LayerSwitcher\n * properties for layers (`TileLayer`, `ImageLayer`, `VectorTile` etc.) and\n * [GroupLayerOptions](#grouplayeroptions) for group layer (`LayerGroup`)\n * LayerSwitcher properties.\n *\n * Layer and group properties can either be set by adding extra properties\n * to their options when they are created or via their set method.\n *\n * Specify a `title` for a Layer by adding a `title` property to it's options object:\n * ```javascript\n * var lyr = new ol.layer.Tile({\n *   // Specify a title property which will be displayed by the layer switcher\n *   title: 'OpenStreetMap',\n *   visible: true,\n *   source: new ol.source.OSM()\n * })\n * ```\n *\n * Alternatively the properties can be set via the `set` method after a layer has been created:\n * ```javascript\n * var lyr = new ol.layer.Tile({\n *   visible: true,\n *   source: new ol.source.OSM()\n * })\n * // Specify a title property which will be displayed by the layer switcher\n * lyr.set('title', 'OpenStreetMap');\n * ```\n *\n * To create a LayerSwitcher and add it to a map, create a new instance then pass it to the map's [`addControl` method](https://openlayers.org/en/latest/apidoc/module-ol_PluggableMap-PluggableMap.html#addControl).\n * ```javascript\n * var layerSwitcher = new LayerSwitcher({\n *   reverse: true,\n *   groupSelectStyle: 'group'\n * });\n * map.addControl(layerSwitcher);\n * ```\n *\n * @constructor\n * @extends {ol/control/Control~Control}\n * @param opt_options LayerSwitcher options, see  [LayerSwitcher Options](#options) and [RenderOptions](#renderoptions) which LayerSwitcher `Options` extends for more details.\n */\n\nvar LayerSwitcher = function (_Control) {\n    inherits(LayerSwitcher, _Control);\n\n    function LayerSwitcher(opt_options) {\n        classCallCheck(this, LayerSwitcher);\n\n        var options = Object.assign({}, opt_options);\n        // TODO Next: Rename to showButtonTitle\n        var tipLabel = options.tipLabel ? options.tipLabel : 'Legend';\n        // TODO Next: Rename to hideButtonTitle\n        var collapseTipLabel = options.collapseTipLabel ? options.collapseTipLabel : 'Collapse legend';\n        var element = document.createElement('div');\n\n        var _this = possibleConstructorReturn(this, (LayerSwitcher.__proto__ || Object.getPrototypeOf(LayerSwitcher)).call(this, { element: element, target: options.target }));\n\n        _this.activationMode = options.activationMode || 'mouseover';\n        _this.startActive = options.startActive === true;\n        // TODO Next: Rename to showButtonContent\n        var label = options.label !== undefined ? options.label : '';\n        // TODO Next: Rename to hideButtonContent\n        var collapseLabel = options.collapseLabel !== undefined ? options.collapseLabel : '\\xBB';\n        _this.groupSelectStyle = LayerSwitcher.getGroupSelectStyle(options.groupSelectStyle);\n        _this.reverse = options.reverse !== false;\n        _this.mapListeners = [];\n        _this.hiddenClassName = 'ol-unselectable ol-control layer-switcher';\n        if (LayerSwitcher.isTouchDevice_()) {\n            _this.hiddenClassName += ' touch';\n        }\n        _this.shownClassName = 'shown';\n        element.className = _this.hiddenClassName;\n        var button = document.createElement('button');\n        button.setAttribute('title', tipLabel);\n        button.setAttribute('aria-label', tipLabel);\n        element.appendChild(button);\n        _this.panel = document.createElement('div');\n        _this.panel.className = 'panel';\n        element.appendChild(_this.panel);\n        LayerSwitcher.enableTouchScroll_(_this.panel);\n        button.textContent = label;\n        element.classList.add(CSS_PREFIX + 'group-select-style-' + _this.groupSelectStyle);\n        element.classList.add(CSS_PREFIX + 'activation-mode-' + _this.activationMode);\n        if (_this.activationMode === 'click') {\n            // TODO Next: Remove in favour of layer-switcher-activation-mode-click\n            element.classList.add('activationModeClick');\n            if (_this.startActive) {\n                button.textContent = collapseLabel;\n                button.setAttribute('title', collapseTipLabel);\n                button.setAttribute('aria-label', collapseTipLabel);\n            }\n            button.onclick = function (e) {\n                var evt = e || window.event;\n                if (_this.element.classList.contains(_this.shownClassName)) {\n                    _this.hidePanel();\n                    button.textContent = label;\n                    button.setAttribute('title', tipLabel);\n                    button.setAttribute('aria-label', tipLabel);\n                } else {\n                    _this.showPanel();\n                    button.textContent = collapseLabel;\n                    button.setAttribute('title', collapseTipLabel);\n                    button.setAttribute('aria-label', collapseTipLabel);\n                }\n                evt.preventDefault();\n            };\n        } else {\n            button.onmouseover = function () {\n                _this.showPanel();\n            };\n            button.onclick = function (e) {\n                var evt = e || window.event;\n                _this.showPanel();\n                evt.preventDefault();\n            };\n            _this.panel.onmouseout = function (evt) {\n                if (!_this.panel.contains(evt.relatedTarget)) {\n                    _this.hidePanel();\n                }\n            };\n        }\n        return _this;\n    }\n    /**\n     * Set the map instance the control is associated with.\n     * @param map The map instance.\n     */\n\n\n    createClass(LayerSwitcher, [{\n        key: 'setMap',\n        value: function setMap(map) {\n            var _this2 = this;\n\n            // Clean up listeners associated with the previous map\n            for (var i = 0; i < this.mapListeners.length; i++) {\n                ol_Observable.unByKey(this.mapListeners[i]);\n            }\n            this.mapListeners.length = 0;\n            // Wire up listeners etc. and store reference to new map\n            get(LayerSwitcher.prototype.__proto__ || Object.getPrototypeOf(LayerSwitcher.prototype), 'setMap', this).call(this, map);\n            if (map) {\n                if (this.startActive) {\n                    this.showPanel();\n                } else {\n                    this.renderPanel();\n                }\n                if (this.activationMode !== 'click') {\n                    this.mapListeners.push(map.on('pointerdown', function () {\n                        _this2.hidePanel();\n                    }));\n                }\n            }\n        }\n        /**\n         * Show the layer panel.\n         */\n\n    }, {\n        key: 'showPanel',\n        value: function showPanel() {\n            if (!this.element.classList.contains(this.shownClassName)) {\n                this.element.classList.add(this.shownClassName);\n                this.renderPanel();\n            }\n        }\n        /**\n         * Hide the layer panel.\n         */\n\n    }, {\n        key: 'hidePanel',\n        value: function hidePanel() {\n            if (this.element.classList.contains(this.shownClassName)) {\n                this.element.classList.remove(this.shownClassName);\n            }\n        }\n        /**\n         * Re-draw the layer panel to represent the current state of the layers.\n         */\n\n    }, {\n        key: 'renderPanel',\n        value: function renderPanel() {\n            this.dispatchEvent('render');\n            LayerSwitcher.renderPanel(this.getMap(), this.panel, {\n                groupSelectStyle: this.groupSelectStyle,\n                reverse: this.reverse\n            });\n            this.dispatchEvent('rendercomplete');\n        }\n        /**\n         * **_[static]_** - Re-draw the layer panel to represent the current state of the layers.\n         * @param map The OpenLayers Map instance to render layers for\n         * @param panel The DOM Element into which the layer tree will be rendered\n         * @param options Options for panel, group, and layers\n         */\n\n    }], [{\n        key: 'renderPanel',\n        value: function renderPanel(map, panel, options) {\n            // Create the event.\n            var render_event = new Event('render');\n            // Dispatch the event.\n            panel.dispatchEvent(render_event);\n            options = options || {};\n            options.groupSelectStyle = LayerSwitcher.getGroupSelectStyle(options.groupSelectStyle);\n            LayerSwitcher.ensureTopVisibleBaseLayerShown(map, options.groupSelectStyle);\n            while (panel.firstChild) {\n                panel.removeChild(panel.firstChild);\n            }\n            // Reset indeterminate state for all layers and groups before\n            // applying based on groupSelectStyle\n            LayerSwitcher.forEachRecursive(map, function (l, _idx, _a) {\n                l.set('indeterminate', false);\n            });\n            if (options.groupSelectStyle === 'children' || options.groupSelectStyle === 'none') {\n                // Set visibile and indeterminate state of groups based on\n                // their children's visibility\n                LayerSwitcher.setGroupVisibility(map);\n            } else if (options.groupSelectStyle === 'group') {\n                // Set child indetermiate state based on their parent's visibility\n                LayerSwitcher.setChildVisibility(map);\n            }\n            var ul = document.createElement('ul');\n            panel.appendChild(ul);\n            // passing two map arguments instead of lyr as we're passing the map as the root of the layers tree\n            LayerSwitcher.renderLayers_(map, map, ul, options, function render(_changedLyr) {\n                LayerSwitcher.renderPanel(map, panel, options);\n            });\n            // Create the event.\n            var rendercomplete_event = new Event('rendercomplete');\n            // Dispatch the event.\n            panel.dispatchEvent(rendercomplete_event);\n        }\n        /**\n         * **_[static]_** - Determine if a given layer group contains base layers\n         * @param grp Group to test\n         */\n\n    }, {\n        key: 'isBaseGroup',\n        value: function isBaseGroup(grp) {\n            if (grp instanceof LayerGroup) {\n                var lyrs = grp.getLayers().getArray();\n                return lyrs.length && lyrs[0].get('type') === 'base';\n            } else {\n                return false;\n            }\n        }\n    }, {\n        key: 'setGroupVisibility',\n        value: function setGroupVisibility(map) {\n            // Get a list of groups, with the deepest first\n            var groups = LayerSwitcher.getGroupsAndLayers(map, function (l) {\n                return l instanceof LayerGroup && !l.get('combine') && !LayerSwitcher.isBaseGroup(l);\n            }).reverse();\n            // console.log(groups.map(g => g.get('title')));\n            groups.forEach(function (grp) {\n                // TODO Can we use getLayersArray, is it public in the esm build?\n                var descendantVisibility = grp.getLayersArray().map(function (l) {\n                    var state = l.getVisible();\n                    // console.log('>', l.get('title'), state);\n                    return state;\n                });\n                // console.log(descendantVisibility);\n                if (descendantVisibility.every(function (v) {\n                    return v === true;\n                })) {\n                    grp.setVisible(true);\n                    grp.set('indeterminate', false);\n                } else if (descendantVisibility.every(function (v) {\n                    return v === false;\n                })) {\n                    grp.setVisible(false);\n                    grp.set('indeterminate', false);\n                } else {\n                    grp.setVisible(true);\n                    grp.set('indeterminate', true);\n                }\n            });\n        }\n    }, {\n        key: 'setChildVisibility',\n        value: function setChildVisibility(map) {\n            // console.log('setChildVisibility');\n            var groups = LayerSwitcher.getGroupsAndLayers(map, function (l) {\n                return l instanceof LayerGroup && !l.get('combine') && !LayerSwitcher.isBaseGroup(l);\n            });\n            groups.forEach(function (grp) {\n                var group = grp;\n                // console.log(group.get('title'));\n                var groupVisible = group.getVisible();\n                var groupIndeterminate = group.get('indeterminate');\n                group.getLayers().getArray().forEach(function (l) {\n                    l.set('indeterminate', false);\n                    if ((!groupVisible || groupIndeterminate) && l.getVisible()) {\n                        l.set('indeterminate', true);\n                    }\n                });\n            });\n        }\n        /**\n         * Ensure only the top-most base layer is visible if more than one is visible.\n         * @param map The map instance.\n         * @param groupSelectStyle\n         * @protected\n         */\n\n    }, {\n        key: 'ensureTopVisibleBaseLayerShown',\n        value: function ensureTopVisibleBaseLayerShown(map, groupSelectStyle) {\n            var lastVisibleBaseLyr = void 0;\n            LayerSwitcher.forEachRecursive(map, function (lyr, _idx, _arr) {\n                if (lyr.get('type') === 'base' && lyr.getVisible()) {\n                    lastVisibleBaseLyr = lyr;\n                }\n            });\n            if (lastVisibleBaseLyr) LayerSwitcher.setVisible_(map, lastVisibleBaseLyr, true, groupSelectStyle);\n        }\n        /**\n         * **_[static]_** - Get an Array of all layers and groups displayed by the LayerSwitcher (has a `'title'` property)\n         * contained by the specified map or layer group; optionally filtering via `filterFn`\n         * @param grp The map or layer group for which layers are found.\n         * @param filterFn Optional function used to filter the returned layers\n         */\n\n    }, {\n        key: 'getGroupsAndLayers',\n        value: function getGroupsAndLayers(grp, filterFn) {\n            var layers = [];\n            filterFn = filterFn || function (_lyr, _idx, _arr) {\n                return true;\n            };\n            LayerSwitcher.forEachRecursive(grp, function (lyr, idx, arr) {\n                if (lyr.get('title')) {\n                    if (filterFn(lyr, idx, arr)) {\n                        layers.push(lyr);\n                    }\n                }\n            });\n            return layers;\n        }\n        /**\n         * Toggle the visible state of a layer.\n         * Takes care of hiding other layers in the same exclusive group if the layer\n         * is toggle to visible.\n         * @protected\n         * @param map The map instance.\n         * @param lyr layer whose visibility will be toggled.\n         * @param visible Set whether the layer is shown\n         * @param groupSelectStyle\n         * @protected\n         */\n\n    }, {\n        key: 'setVisible_',\n        value: function setVisible_(map, lyr, visible, groupSelectStyle) {\n            // console.log(lyr.get('title'), visible, groupSelectStyle);\n            lyr.setVisible(visible);\n            if (visible && lyr.get('type') === 'base') {\n                // Hide all other base layers regardless of grouping\n                LayerSwitcher.forEachRecursive(map, function (l, _idx, _arr) {\n                    if (l != lyr && l.get('type') === 'base') {\n                        l.setVisible(false);\n                    }\n                });\n            }\n            if (lyr instanceof LayerGroup && !lyr.get('combine') && groupSelectStyle === 'children') {\n                lyr.getLayers().forEach(function (l) {\n                    LayerSwitcher.setVisible_(map, l, lyr.getVisible(), groupSelectStyle);\n                });\n            }\n        }\n        /**\n         * Render all layers that are children of a group.\n         * @param map The map instance.\n         * @param lyr Layer to be rendered (should have a title property).\n         * @param idx Position in parent group list.\n         * @param options Options for groups and layers\n         * @protected\n         */\n\n    }, {\n        key: 'renderLayer_',\n        value: function renderLayer_(map, lyr, idx, options, render) {\n            var li = document.createElement('li');\n            var lyrTitle = lyr.get('title');\n            var checkboxId = LayerSwitcher.uuid();\n            var label = document.createElement('label');\n            if (lyr instanceof LayerGroup && !lyr.get('combine')) {\n                var isBaseGroup = LayerSwitcher.isBaseGroup(lyr);\n                li.classList.add('group');\n                if (isBaseGroup) {\n                    li.classList.add(CSS_PREFIX + 'base-group');\n                }\n                // Group folding\n                if (lyr.get('fold')) {\n                    li.classList.add(CSS_PREFIX + 'fold');\n                    li.classList.add(CSS_PREFIX + lyr.get('fold'));\n                    var btn = document.createElement('button');\n                    btn.onclick = function (e) {\n                        var evt = e || window.event;\n                        LayerSwitcher.toggleFold_(lyr, li);\n                        evt.preventDefault();\n                    };\n                    li.appendChild(btn);\n                }\n                if (!isBaseGroup && options.groupSelectStyle != 'none') {\n                    var input = document.createElement('input');\n                    input.type = 'checkbox';\n                    input.id = checkboxId;\n                    input.checked = lyr.getVisible();\n                    input.indeterminate = lyr.get('indeterminate');\n                    input.onchange = function (e) {\n                        var target = e.target;\n                        LayerSwitcher.setVisible_(map, lyr, target.checked, options.groupSelectStyle);\n                        render(lyr);\n                    };\n                    li.appendChild(input);\n                    label.htmlFor = checkboxId;\n                }\n                label.innerHTML = lyrTitle;\n                li.appendChild(label);\n                var ul = document.createElement('ul');\n                li.appendChild(ul);\n                LayerSwitcher.renderLayers_(map, lyr, ul, options, render);\n            } else {\n                li.className = 'layer';\n                var _input = document.createElement('input');\n                if (lyr.get('type') === 'base') {\n                    _input.type = 'radio';\n                    _input.name = 'base';\n                } else {\n                    _input.type = 'checkbox';\n                }\n                _input.id = checkboxId;\n                _input.checked = lyr.get('visible');\n                _input.indeterminate = lyr.get('indeterminate');\n                _input.onchange = function (e) {\n                    var target = e.target;\n                    LayerSwitcher.setVisible_(map, lyr, target.checked, options.groupSelectStyle);\n                    render(lyr);\n                };\n                li.appendChild(_input);\n                label.htmlFor = checkboxId;\n                label.innerHTML = lyrTitle;\n                var rsl = map.getView().getResolution();\n                if (rsl > lyr.getMaxResolution() || rsl < lyr.getMinResolution()) {\n                    label.className += ' disabled';\n                }\n                li.appendChild(label);\n            }\n            return li;\n        }\n        /**\n         * Render all layers that are children of a group.\n         * @param map The map instance.\n         * @param lyr Group layer whose children will be rendered.\n         * @param elm DOM element that children will be appended to.\n         * @param options Options for groups and layers\n         * @protected\n         */\n\n    }, {\n        key: 'renderLayers_',\n        value: function renderLayers_(map, lyr, elm, options, render) {\n            var lyrs = lyr.getLayers().getArray().slice();\n            if (options.reverse) lyrs = lyrs.reverse();\n            for (var i = 0, l; i < lyrs.length; i++) {\n                l = lyrs[i];\n                if (l.get('title')) {\n                    elm.appendChild(LayerSwitcher.renderLayer_(map, l, i, options, render));\n                }\n            }\n        }\n        /**\n         * **_[static]_** - Call the supplied function for each layer in the passed layer group\n         * recursing nested groups.\n         * @param lyr The layer group to start iterating from.\n         * @param fn Callback which will be called for each layer\n         * found under `lyr`.\n         */\n\n    }, {\n        key: 'forEachRecursive',\n        value: function forEachRecursive(lyr, fn) {\n            lyr.getLayers().forEach(function (lyr, idx, a) {\n                fn(lyr, idx, a);\n                if (lyr instanceof LayerGroup) {\n                    LayerSwitcher.forEachRecursive(lyr, fn);\n                }\n            });\n        }\n        /**\n         * **_[static]_** - Generate a UUID\n         * Adapted from http://stackoverflow.com/a/2117523/526860\n         * @returns {String} UUID\n         */\n\n    }, {\n        key: 'uuid',\n        value: function uuid() {\n            return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function (c) {\n                var r = Math.random() * 16 | 0,\n                    v = c == 'x' ? r : r & 0x3 | 0x8;\n                return v.toString(16);\n            });\n        }\n        /**\n         * Apply workaround to enable scrolling of overflowing content within an\n         * element. Adapted from https://gist.github.com/chrismbarr/4107472\n         * @param elm Element on which to enable touch scrolling\n         * @protected\n         */\n\n    }, {\n        key: 'enableTouchScroll_',\n        value: function enableTouchScroll_(elm) {\n            if (LayerSwitcher.isTouchDevice_()) {\n                var scrollStartPos = 0;\n                elm.addEventListener('touchstart', function (event) {\n                    scrollStartPos = this.scrollTop + event.touches[0].pageY;\n                }, false);\n                elm.addEventListener('touchmove', function (event) {\n                    this.scrollTop = scrollStartPos - event.touches[0].pageY;\n                }, false);\n            }\n        }\n        /**\n         * Determine if the current browser supports touch events. Adapted from\n         * https://gist.github.com/chrismbarr/4107472\n         * @returns {Boolean} True if client can have 'TouchEvent' event\n         * @protected\n         */\n\n    }, {\n        key: 'isTouchDevice_',\n        value: function isTouchDevice_() {\n            try {\n                document.createEvent('TouchEvent');\n                return true;\n            } catch (e) {\n                return false;\n            }\n        }\n        /**\n         * Fold/unfold layer group\n         * @param lyr Layer group to fold/unfold\n         * @param li List item containing layer group\n         * @protected\n         */\n\n    }, {\n        key: 'toggleFold_',\n        value: function toggleFold_(lyr, li) {\n            li.classList.remove(CSS_PREFIX + lyr.get('fold'));\n            lyr.set('fold', lyr.get('fold') === 'open' ? 'close' : 'open');\n            li.classList.add(CSS_PREFIX + lyr.get('fold'));\n        }\n        /**\n         * If a valid groupSelectStyle value is not provided then return the default\n         * @param groupSelectStyle The string to check for validity\n         * @returns The value groupSelectStyle, if valid, the default otherwise\n         * @protected\n         */\n\n    }, {\n        key: 'getGroupSelectStyle',\n        value: function getGroupSelectStyle(groupSelectStyle) {\n            return ['none', 'children', 'group'].indexOf(groupSelectStyle) >= 0 ? groupSelectStyle : 'children';\n        }\n    }]);\n    return LayerSwitcher;\n}(Control);\nif (window['ol'] && window['ol']['control']) {\n    window['ol']['control']['LayerSwitcher'] = LayerSwitcher;\n}\n\nreturn LayerSwitcher;\n\n})));\n","/**\n * @module ol/format/Feature\n */\nimport Units from '../proj/Units.js';\nimport { abstract } from '../util.js';\nimport { assign } from '../obj.js';\nimport { equivalent as equivalentProjection, get as getProjection, transformExtent, } from '../proj.js';\n/**\n * @typedef {Object} ReadOptions\n * @property {import(\"../proj.js\").ProjectionLike} [dataProjection] Projection of the data we are reading.\n * If not provided, the projection will be derived from the data (where possible) or\n * the `dataProjection` of the format is assigned (where set). If the projection\n * can not be derived from the data and if no `dataProjection` is set for a format,\n * the features will not be reprojected.\n * @property {import(\"../extent.js\").Extent} [extent] Tile extent in map units of the tile being read.\n * This is only required when reading data with tile pixels as geometry units. When configured,\n * a `dataProjection` with `TILE_PIXELS` as `units` and the tile's pixel extent as `extent` needs to be\n * provided.\n * @property {import(\"../proj.js\").ProjectionLike} [featureProjection] Projection of the feature geometries\n * created by the format reader. If not provided, features will be returned in the\n * `dataProjection`.\n */\n/**\n * @typedef {Object} WriteOptions\n * @property {import(\"../proj.js\").ProjectionLike} [dataProjection] Projection of the data we are writing.\n * If not provided, the `dataProjection` of the format is assigned (where set).\n * If no `dataProjection` is set for a format, the features will be returned\n * in the `featureProjection`.\n * @property {import(\"../proj.js\").ProjectionLike} [featureProjection] Projection of the feature geometries\n * that will be serialized by the format writer. If not provided, geometries are assumed\n * to be in the `dataProjection` if that is set; in other words, they are not transformed.\n * @property {boolean} [rightHanded] When writing geometries, follow the right-hand\n * rule for linear ring orientation.  This means that polygons will have counter-clockwise\n * exterior rings and clockwise interior rings.  By default, coordinates are serialized\n * as they are provided at construction.  If `true`, the right-hand rule will\n * be applied.  If `false`, the left-hand rule will be applied (clockwise for\n * exterior and counter-clockwise for interior rings).  Note that not all\n * formats support this.  The GeoJSON format does use this property when writing\n * geometries.\n * @property {number} [decimals] Maximum number of decimal places for coordinates.\n * Coordinates are stored internally as floats, but floating-point arithmetic can create\n * coordinates with a large number of decimal places, not generally wanted on output.\n * Set a number here to round coordinates. Can also be used to ensure that\n * coordinates read in can be written back out with the same number of decimals.\n * Default is no rounding.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for feature formats.\n * {@link module:ol/format/Feature~FeatureFormat} subclasses provide the ability to decode and encode\n * {@link module:ol/Feature~Feature} objects from a variety of commonly used geospatial\n * file formats.  See the documentation for each format for more details.\n *\n * @abstract\n * @api\n */\nvar FeatureFormat = /** @class */ (function () {\n    function FeatureFormat() {\n        /**\n         * @protected\n         * @type {import(\"../proj/Projection.js\").default|undefined}\n         */\n        this.dataProjection = undefined;\n        /**\n         * @protected\n         * @type {import(\"../proj/Projection.js\").default|undefined}\n         */\n        this.defaultFeatureProjection = undefined;\n        /**\n         * A list media types supported by the format in descending order of preference.\n         * @type {Array<string>}\n         */\n        this.supportedMediaTypes = null;\n    }\n    /**\n     * Adds the data projection to the read options.\n     * @param {Document|Element|Object|string} source Source.\n     * @param {ReadOptions} [opt_options] Options.\n     * @return {ReadOptions|undefined} Options.\n     * @protected\n     */\n    FeatureFormat.prototype.getReadOptions = function (source, opt_options) {\n        var options;\n        if (opt_options) {\n            var dataProjection = opt_options.dataProjection\n                ? getProjection(opt_options.dataProjection)\n                : this.readProjection(source);\n            if (opt_options.extent &&\n                dataProjection &&\n                dataProjection.getUnits() === Units.TILE_PIXELS) {\n                dataProjection = getProjection(dataProjection);\n                dataProjection.setWorldExtent(opt_options.extent);\n            }\n            options = {\n                dataProjection: dataProjection,\n                featureProjection: opt_options.featureProjection,\n            };\n        }\n        return this.adaptOptions(options);\n    };\n    /**\n     * Sets the `dataProjection` on the options, if no `dataProjection`\n     * is set.\n     * @param {WriteOptions|ReadOptions|undefined} options\n     *     Options.\n     * @protected\n     * @return {WriteOptions|ReadOptions|undefined}\n     *     Updated options.\n     */\n    FeatureFormat.prototype.adaptOptions = function (options) {\n        return assign({\n            dataProjection: this.dataProjection,\n            featureProjection: this.defaultFeatureProjection,\n        }, options);\n    };\n    /**\n     * @abstract\n     * @return {import(\"./FormatType.js\").default} Format.\n     */\n    FeatureFormat.prototype.getType = function () {\n        return abstract();\n    };\n    /**\n     * Read a single feature from a source.\n     *\n     * @abstract\n     * @param {Document|Element|Object|string} source Source.\n     * @param {ReadOptions} [opt_options] Read options.\n     * @return {import(\"../Feature.js\").FeatureLike} Feature.\n     */\n    FeatureFormat.prototype.readFeature = function (source, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read all features from a source.\n     *\n     * @abstract\n     * @param {Document|Element|ArrayBuffer|Object|string} source Source.\n     * @param {ReadOptions} [opt_options] Read options.\n     * @return {Array<import(\"../Feature.js\").FeatureLike>} Features.\n     */\n    FeatureFormat.prototype.readFeatures = function (source, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read a single geometry from a source.\n     *\n     * @abstract\n     * @param {Document|Element|Object|string} source Source.\n     * @param {ReadOptions} [opt_options] Read options.\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    FeatureFormat.prototype.readGeometry = function (source, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read the projection from a source.\n     *\n     * @abstract\n     * @param {Document|Element|Object|string} source Source.\n     * @return {import(\"../proj/Projection.js\").default|undefined} Projection.\n     */\n    FeatureFormat.prototype.readProjection = function (source) {\n        return abstract();\n    };\n    /**\n     * Encode a feature in this format.\n     *\n     * @abstract\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {WriteOptions} [opt_options] Write options.\n     * @return {string|ArrayBuffer} Result.\n     */\n    FeatureFormat.prototype.writeFeature = function (feature, opt_options) {\n        return abstract();\n    };\n    /**\n     * Encode an array of features in this format.\n     *\n     * @abstract\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {WriteOptions} [opt_options] Write options.\n     * @return {string|ArrayBuffer} Result.\n     */\n    FeatureFormat.prototype.writeFeatures = function (features, opt_options) {\n        return abstract();\n    };\n    /**\n     * Write a single geometry in this format.\n     *\n     * @abstract\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {WriteOptions} [opt_options] Write options.\n     * @return {string|ArrayBuffer} Result.\n     */\n    FeatureFormat.prototype.writeGeometry = function (geometry, opt_options) {\n        return abstract();\n    };\n    return FeatureFormat;\n}());\nexport default FeatureFormat;\n/**\n * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n * @param {boolean} write Set to true for writing, false for reading.\n * @param {WriteOptions|ReadOptions} [opt_options] Options.\n * @return {import(\"../geom/Geometry.js\").default} Transformed geometry.\n */\nexport function transformGeometryWithOptions(geometry, write, opt_options) {\n    var featureProjection = opt_options\n        ? getProjection(opt_options.featureProjection)\n        : null;\n    var dataProjection = opt_options\n        ? getProjection(opt_options.dataProjection)\n        : null;\n    var transformed;\n    if (featureProjection &&\n        dataProjection &&\n        !equivalentProjection(featureProjection, dataProjection)) {\n        transformed = (write ? geometry.clone() : geometry).transform(write ? featureProjection : dataProjection, write ? dataProjection : featureProjection);\n    }\n    else {\n        transformed = geometry;\n    }\n    if (write &&\n        opt_options &&\n        /** @type {WriteOptions} */ (opt_options).decimals !== undefined) {\n        var power_1 = Math.pow(10, \n        /** @type {WriteOptions} */ (opt_options).decimals);\n        // if decimals option on write, round each coordinate appropriately\n        /**\n         * @param {Array<number>} coordinates Coordinates.\n         * @return {Array<number>} Transformed coordinates.\n         */\n        var transform = function (coordinates) {\n            for (var i = 0, ii = coordinates.length; i < ii; ++i) {\n                coordinates[i] = Math.round(coordinates[i] * power_1) / power_1;\n            }\n            return coordinates;\n        };\n        if (transformed === geometry) {\n            transformed = geometry.clone();\n        }\n        transformed.applyTransform(transform);\n    }\n    return transformed;\n}\n/**\n * @param {import(\"../extent.js\").Extent} extent Extent.\n * @param {ReadOptions} [opt_options] Read options.\n * @return {import(\"../extent.js\").Extent} Transformed extent.\n */\nexport function transformExtentWithOptions(extent, opt_options) {\n    var featureProjection = opt_options\n        ? getProjection(opt_options.featureProjection)\n        : null;\n    var dataProjection = opt_options\n        ? getProjection(opt_options.dataProjection)\n        : null;\n    if (featureProjection &&\n        dataProjection &&\n        !equivalentProjection(featureProjection, dataProjection)) {\n        return transformExtent(extent, dataProjection, featureProjection);\n    }\n    else {\n        return extent;\n    }\n}\n//# sourceMappingURL=Feature.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/format/JSONFeature\n */\nimport FeatureFormat from './Feature.js';\nimport FormatType from './FormatType.js';\nimport { abstract } from '../util.js';\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for JSON feature formats.\n *\n * @abstract\n */\nvar JSONFeature = /** @class */ (function (_super) {\n    __extends(JSONFeature, _super);\n    function JSONFeature() {\n        return _super.call(this) || this;\n    }\n    /**\n     * @return {import(\"./FormatType.js\").default} Format.\n     */\n    JSONFeature.prototype.getType = function () {\n        return FormatType.JSON;\n    };\n    /**\n     * Read a feature.  Only works for a single feature. Use `readFeatures` to\n     * read a feature collection.\n     *\n     * @param {ArrayBuffer|Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {import(\"../Feature.js\").default} Feature.\n     * @api\n     */\n    JSONFeature.prototype.readFeature = function (source, opt_options) {\n        return this.readFeatureFromObject(getObject(source), this.getReadOptions(source, opt_options));\n    };\n    /**\n     * Read all features.  Works with both a single feature and a feature\n     * collection.\n     *\n     * @param {ArrayBuffer|Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     * @api\n     */\n    JSONFeature.prototype.readFeatures = function (source, opt_options) {\n        return this.readFeaturesFromObject(getObject(source), this.getReadOptions(source, opt_options));\n    };\n    /**\n     * @abstract\n     * @param {Object} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {import(\"../Feature.js\").default} Feature.\n     */\n    JSONFeature.prototype.readFeatureFromObject = function (object, opt_options) {\n        return abstract();\n    };\n    /**\n     * @abstract\n     * @param {Object} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     */\n    JSONFeature.prototype.readFeaturesFromObject = function (object, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read a geometry.\n     *\n     * @param {ArrayBuffer|Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     * @api\n     */\n    JSONFeature.prototype.readGeometry = function (source, opt_options) {\n        return this.readGeometryFromObject(getObject(source), this.getReadOptions(source, opt_options));\n    };\n    /**\n     * @abstract\n     * @param {Object} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    JSONFeature.prototype.readGeometryFromObject = function (object, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read the projection.\n     *\n     * @param {ArrayBuffer|Document|Element|Object|string} source Source.\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     * @api\n     */\n    JSONFeature.prototype.readProjection = function (source) {\n        return this.readProjectionFromObject(getObject(source));\n    };\n    /**\n     * @abstract\n     * @param {Object} object Object.\n     * @protected\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     */\n    JSONFeature.prototype.readProjectionFromObject = function (object) {\n        return abstract();\n    };\n    /**\n     * Encode a feature as string.\n     *\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Encoded feature.\n     * @api\n     */\n    JSONFeature.prototype.writeFeature = function (feature, opt_options) {\n        return JSON.stringify(this.writeFeatureObject(feature, opt_options));\n    };\n    /**\n     * @abstract\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {Object} Object.\n     */\n    JSONFeature.prototype.writeFeatureObject = function (feature, opt_options) {\n        return abstract();\n    };\n    /**\n     * Encode an array of features as string.\n     *\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Encoded features.\n     * @api\n     */\n    JSONFeature.prototype.writeFeatures = function (features, opt_options) {\n        return JSON.stringify(this.writeFeaturesObject(features, opt_options));\n    };\n    /**\n     * @abstract\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {Object} Object.\n     */\n    JSONFeature.prototype.writeFeaturesObject = function (features, opt_options) {\n        return abstract();\n    };\n    /**\n     * Encode a geometry as string.\n     *\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Encoded geometry.\n     * @api\n     */\n    JSONFeature.prototype.writeGeometry = function (geometry, opt_options) {\n        return JSON.stringify(this.writeGeometryObject(geometry, opt_options));\n    };\n    /**\n     * @abstract\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {Object} Object.\n     */\n    JSONFeature.prototype.writeGeometryObject = function (geometry, opt_options) {\n        return abstract();\n    };\n    return JSONFeature;\n}(FeatureFormat));\n/**\n * @param {Document|Element|Object|string} source Source.\n * @return {Object} Object.\n */\nfunction getObject(source) {\n    if (typeof source === 'string') {\n        var object = JSON.parse(source);\n        return object ? /** @type {Object} */ (object) : null;\n    }\n    else if (source !== null) {\n        return source;\n    }\n    else {\n        return null;\n    }\n}\nexport default JSONFeature;\n//# sourceMappingURL=JSONFeature.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/GeometryCollection\n */\nimport EventType from '../events/EventType.js';\nimport Geometry from './Geometry.js';\nimport GeometryType from './GeometryType.js';\nimport { closestSquaredDistanceXY, createOrUpdateEmpty, extend, getCenter, } from '../extent.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @classdesc\n * An array of {@link module:ol/geom/Geometry} objects.\n *\n * @api\n */\nvar GeometryCollection = /** @class */ (function (_super) {\n    __extends(GeometryCollection, _super);\n    /**\n     * @param {Array<Geometry>} [opt_geometries] Geometries.\n     */\n    function GeometryCollection(opt_geometries) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {Array<Geometry>}\n         */\n        _this.geometries_ = opt_geometries ? opt_geometries : null;\n        /**\n         * @type {Array<import(\"../events.js\").EventsKey>}\n         */\n        _this.changeEventsKeys_ = [];\n        _this.listenGeometriesChange_();\n        return _this;\n    }\n    /**\n     * @private\n     */\n    GeometryCollection.prototype.unlistenGeometriesChange_ = function () {\n        this.changeEventsKeys_.forEach(unlistenByKey);\n        this.changeEventsKeys_.length = 0;\n    };\n    /**\n     * @private\n     */\n    GeometryCollection.prototype.listenGeometriesChange_ = function () {\n        if (!this.geometries_) {\n            return;\n        }\n        for (var i = 0, ii = this.geometries_.length; i < ii; ++i) {\n            this.changeEventsKeys_.push(listen(this.geometries_[i], EventType.CHANGE, this.changed, this));\n        }\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!GeometryCollection} Clone.\n     * @api\n     */\n    GeometryCollection.prototype.clone = function () {\n        var geometryCollection = new GeometryCollection(null);\n        geometryCollection.setGeometries(this.geometries_);\n        geometryCollection.applyProperties(this);\n        return geometryCollection;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    GeometryCollection.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            minSquaredDistance = geometries[i].closestPointXY(x, y, closestPoint, minSquaredDistance);\n        }\n        return minSquaredDistance;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @return {boolean} Contains (x, y).\n     */\n    GeometryCollection.prototype.containsXY = function (x, y) {\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            if (geometries[i].containsXY(x, y)) {\n                return true;\n            }\n        }\n        return false;\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @protected\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     */\n    GeometryCollection.prototype.computeExtent = function (extent) {\n        createOrUpdateEmpty(extent);\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            extend(extent, geometries[i].getExtent());\n        }\n        return extent;\n    };\n    /**\n     * Return the geometries that make up this geometry collection.\n     * @return {Array<Geometry>} Geometries.\n     * @api\n     */\n    GeometryCollection.prototype.getGeometries = function () {\n        return cloneGeometries(this.geometries_);\n    };\n    /**\n     * @return {Array<Geometry>} Geometries.\n     */\n    GeometryCollection.prototype.getGeometriesArray = function () {\n        return this.geometries_;\n    };\n    /**\n     * @return {Array<Geometry>} Geometries.\n     */\n    GeometryCollection.prototype.getGeometriesArrayRecursive = function () {\n        /** @type {Array<Geometry>} */\n        var geometriesArray = [];\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            if (geometries[i].getType() === this.getType()) {\n                geometriesArray = geometriesArray.concat(\n                /** @type {GeometryCollection} */ (geometries[i]).getGeometriesArrayRecursive());\n            }\n            else {\n                geometriesArray.push(geometries[i]);\n            }\n        }\n        return geometriesArray;\n    };\n    /**\n     * Create a simplified version of this geometry using the Douglas Peucker algorithm.\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {GeometryCollection} Simplified GeometryCollection.\n     */\n    GeometryCollection.prototype.getSimplifiedGeometry = function (squaredTolerance) {\n        if (this.simplifiedGeometryRevision !== this.getRevision()) {\n            this.simplifiedGeometryMaxMinSquaredTolerance = 0;\n            this.simplifiedGeometryRevision = this.getRevision();\n        }\n        if (squaredTolerance < 0 ||\n            (this.simplifiedGeometryMaxMinSquaredTolerance !== 0 &&\n                squaredTolerance < this.simplifiedGeometryMaxMinSquaredTolerance)) {\n            return this;\n        }\n        var simplifiedGeometries = [];\n        var geometries = this.geometries_;\n        var simplified = false;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            var geometry = geometries[i];\n            var simplifiedGeometry = geometry.getSimplifiedGeometry(squaredTolerance);\n            simplifiedGeometries.push(simplifiedGeometry);\n            if (simplifiedGeometry !== geometry) {\n                simplified = true;\n            }\n        }\n        if (simplified) {\n            var simplifiedGeometryCollection = new GeometryCollection(null);\n            simplifiedGeometryCollection.setGeometriesArray(simplifiedGeometries);\n            return simplifiedGeometryCollection;\n        }\n        else {\n            this.simplifiedGeometryMaxMinSquaredTolerance = squaredTolerance;\n            return this;\n        }\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    GeometryCollection.prototype.getType = function () {\n        return GeometryType.GEOMETRY_COLLECTION;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    GeometryCollection.prototype.intersectsExtent = function (extent) {\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            if (geometries[i].intersectsExtent(extent)) {\n                return true;\n            }\n        }\n        return false;\n    };\n    /**\n     * @return {boolean} Is empty.\n     */\n    GeometryCollection.prototype.isEmpty = function () {\n        return this.geometries_.length === 0;\n    };\n    /**\n     * Rotate the geometry around a given coordinate. This modifies the geometry\n     * coordinates in place.\n     * @param {number} angle Rotation angle in radians.\n     * @param {import(\"../coordinate.js\").Coordinate} anchor The rotation center.\n     * @api\n     */\n    GeometryCollection.prototype.rotate = function (angle, anchor) {\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            geometries[i].rotate(angle, anchor);\n        }\n        this.changed();\n    };\n    /**\n     * Scale the geometry (with an optional origin).  This modifies the geometry\n     * coordinates in place.\n     * @abstract\n     * @param {number} sx The scaling factor in the x-direction.\n     * @param {number} [opt_sy] The scaling factor in the y-direction (defaults to sx).\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_anchor] The scale origin (defaults to the center\n     *     of the geometry extent).\n     * @api\n     */\n    GeometryCollection.prototype.scale = function (sx, opt_sy, opt_anchor) {\n        var anchor = opt_anchor;\n        if (!anchor) {\n            anchor = getCenter(this.getExtent());\n        }\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            geometries[i].scale(sx, opt_sy, anchor);\n        }\n        this.changed();\n    };\n    /**\n     * Set the geometries that make up this geometry collection.\n     * @param {Array<Geometry>} geometries Geometries.\n     * @api\n     */\n    GeometryCollection.prototype.setGeometries = function (geometries) {\n        this.setGeometriesArray(cloneGeometries(geometries));\n    };\n    /**\n     * @param {Array<Geometry>} geometries Geometries.\n     */\n    GeometryCollection.prototype.setGeometriesArray = function (geometries) {\n        this.unlistenGeometriesChange_();\n        this.geometries_ = geometries;\n        this.listenGeometriesChange_();\n        this.changed();\n    };\n    /**\n     * Apply a transform function to the coordinates of the geometry.\n     * The geometry is modified in place.\n     * If you do not want the geometry modified in place, first `clone()` it and\n     * then use this function on the clone.\n     * @param {import(\"../proj.js\").TransformFunction} transformFn Transform function.\n     * Called with a flat array of geometry coordinates.\n     * @api\n     */\n    GeometryCollection.prototype.applyTransform = function (transformFn) {\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            geometries[i].applyTransform(transformFn);\n        }\n        this.changed();\n    };\n    /**\n     * Translate the geometry.  This modifies the geometry coordinates in place.  If\n     * instead you want a new geometry, first `clone()` this geometry.\n     * @param {number} deltaX Delta X.\n     * @param {number} deltaY Delta Y.\n     * @api\n     */\n    GeometryCollection.prototype.translate = function (deltaX, deltaY) {\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            geometries[i].translate(deltaX, deltaY);\n        }\n        this.changed();\n    };\n    /**\n     * Clean up.\n     */\n    GeometryCollection.prototype.disposeInternal = function () {\n        this.unlistenGeometriesChange_();\n        _super.prototype.disposeInternal.call(this);\n    };\n    return GeometryCollection;\n}(Geometry));\n/**\n * @param {Array<Geometry>} geometries Geometries.\n * @return {Array<Geometry>} Cloned geometries.\n */\nfunction cloneGeometries(geometries) {\n    var clonedGeometries = [];\n    for (var i = 0, ii = geometries.length; i < ii; ++i) {\n        clonedGeometries.push(geometries[i].clone());\n    }\n    return clonedGeometries;\n}\nexport default GeometryCollection;\n//# sourceMappingURL=GeometryCollection.js.map","/**\n * @module ol/format/GeoJSON\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport Feature from '../Feature.js';\nimport GeometryCollection from '../geom/GeometryCollection.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport JSONFeature from './JSONFeature.js';\nimport LineString from '../geom/LineString.js';\nimport MultiLineString from '../geom/MultiLineString.js';\nimport MultiPoint from '../geom/MultiPoint.js';\nimport MultiPolygon from '../geom/MultiPolygon.js';\nimport Point from '../geom/Point.js';\nimport Polygon from '../geom/Polygon.js';\nimport { assert } from '../asserts.js';\nimport { assign, isEmpty } from '../obj.js';\nimport { get as getProjection } from '../proj.js';\nimport { transformGeometryWithOptions } from './Feature.js';\n/**\n * @typedef {import(\"geojson\").GeoJSON} GeoJSONObject\n * @typedef {import(\"geojson\").Feature} GeoJSONFeature\n * @typedef {import(\"geojson\").FeatureCollection} GeoJSONFeatureCollection\n * @typedef {import(\"geojson\").Geometry} GeoJSONGeometry\n * @typedef {import(\"geojson\").Point} GeoJSONPoint\n * @typedef {import(\"geojson\").LineString} GeoJSONLineString\n * @typedef {import(\"geojson\").Polygon} GeoJSONPolygon\n * @typedef {import(\"geojson\").MultiPoint} GeoJSONMultiPoint\n * @typedef {import(\"geojson\").MultiLineString} GeoJSONMultiLineString\n * @typedef {import(\"geojson\").MultiPolygon} GeoJSONMultiPolygon\n * @typedef {import(\"geojson\").GeometryCollection} GeoJSONGeometryCollection\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../proj.js\").ProjectionLike} [dataProjection='EPSG:4326'] Default data projection.\n * @property {import(\"../proj.js\").ProjectionLike} [featureProjection] Projection for features read or\n * written by the format.  Options passed to read or write methods will take precedence.\n * @property {string} [geometryName] Geometry name to use when creating features.\n * @property {boolean} [extractGeometryName=false] Certain GeoJSON providers include\n * the geometry_name field in the feature GeoJSON. If set to `true` the GeoJSON reader\n * will look for that field to set the geometry name. If both this field is set to `true`\n * and a `geometryName` is provided, the `geometryName` will take precedence.\n */\n/**\n * @classdesc\n * Feature format for reading and writing data in the GeoJSON format.\n *\n * @api\n */\nvar GeoJSON = /** @class */ (function (_super) {\n    __extends(GeoJSON, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function GeoJSON(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this) || this;\n        /**\n         * @type {import(\"../proj/Projection.js\").default}\n         */\n        _this.dataProjection = getProjection(options.dataProjection ? options.dataProjection : 'EPSG:4326');\n        if (options.featureProjection) {\n            _this.defaultFeatureProjection = getProjection(options.featureProjection);\n        }\n        /**\n         * Name of the geometry attribute for features.\n         * @type {string|undefined}\n         * @private\n         */\n        _this.geometryName_ = options.geometryName;\n        /**\n         * Look for the geometry name in the feature GeoJSON\n         * @type {boolean|undefined}\n         * @private\n         */\n        _this.extractGeometryName_ = options.extractGeometryName;\n        _this.supportedMediaTypes = [\n            'application/geo+json',\n            'application/vnd.geo+json',\n        ];\n        return _this;\n    }\n    /**\n     * @param {Object} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {import(\"../Feature.js\").default} Feature.\n     */\n    GeoJSON.prototype.readFeatureFromObject = function (object, opt_options) {\n        /**\n         * @type {GeoJSONFeature}\n         */\n        var geoJSONFeature = null;\n        if (object['type'] === 'Feature') {\n            geoJSONFeature = /** @type {GeoJSONFeature} */ (object);\n        }\n        else {\n            geoJSONFeature = {\n                'type': 'Feature',\n                'geometry': /** @type {GeoJSONGeometry} */ (object),\n                'properties': null,\n            };\n        }\n        var geometry = readGeometry(geoJSONFeature['geometry'], opt_options);\n        var feature = new Feature();\n        if (this.geometryName_) {\n            feature.setGeometryName(this.geometryName_);\n        }\n        else if (this.extractGeometryName_ &&\n            'geometry_name' in geoJSONFeature !== undefined) {\n            feature.setGeometryName(geoJSONFeature['geometry_name']);\n        }\n        feature.setGeometry(geometry);\n        if ('id' in geoJSONFeature) {\n            feature.setId(geoJSONFeature['id']);\n        }\n        if (geoJSONFeature['properties']) {\n            feature.setProperties(geoJSONFeature['properties'], true);\n        }\n        return feature;\n    };\n    /**\n     * @param {Object} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {Array<Feature>} Features.\n     */\n    GeoJSON.prototype.readFeaturesFromObject = function (object, opt_options) {\n        var geoJSONObject = /** @type {GeoJSONObject} */ (object);\n        /** @type {Array<import(\"../Feature.js\").default>} */\n        var features = null;\n        if (geoJSONObject['type'] === 'FeatureCollection') {\n            var geoJSONFeatureCollection = /** @type {GeoJSONFeatureCollection} */ (object);\n            features = [];\n            var geoJSONFeatures = geoJSONFeatureCollection['features'];\n            for (var i = 0, ii = geoJSONFeatures.length; i < ii; ++i) {\n                features.push(this.readFeatureFromObject(geoJSONFeatures[i], opt_options));\n            }\n        }\n        else {\n            features = [this.readFeatureFromObject(object, opt_options)];\n        }\n        return features;\n    };\n    /**\n     * @param {GeoJSONGeometry} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    GeoJSON.prototype.readGeometryFromObject = function (object, opt_options) {\n        return readGeometry(object, opt_options);\n    };\n    /**\n     * @param {Object} object Object.\n     * @protected\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     */\n    GeoJSON.prototype.readProjectionFromObject = function (object) {\n        var crs = object['crs'];\n        var projection;\n        if (crs) {\n            if (crs['type'] == 'name') {\n                projection = getProjection(crs['properties']['name']);\n            }\n            else if (crs['type'] === 'EPSG') {\n                projection = getProjection('EPSG:' + crs['properties']['code']);\n            }\n            else {\n                assert(false, 36); // Unknown SRS type\n            }\n        }\n        else {\n            projection = this.dataProjection;\n        }\n        return /** @type {import(\"../proj/Projection.js\").default} */ (projection);\n    };\n    /**\n     * Encode a feature as a GeoJSON Feature object.\n     *\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {GeoJSONFeature} Object.\n     * @api\n     */\n    GeoJSON.prototype.writeFeatureObject = function (feature, opt_options) {\n        opt_options = this.adaptOptions(opt_options);\n        /** @type {GeoJSONFeature} */\n        var object = {\n            'type': 'Feature',\n            geometry: null,\n            properties: null,\n        };\n        var id = feature.getId();\n        if (id !== undefined) {\n            object.id = id;\n        }\n        if (!feature.hasProperties()) {\n            return object;\n        }\n        var properties = feature.getProperties();\n        var geometry = feature.getGeometry();\n        if (geometry) {\n            object.geometry = writeGeometry(geometry, opt_options);\n            delete properties[feature.getGeometryName()];\n        }\n        if (!isEmpty(properties)) {\n            object.properties = properties;\n        }\n        return object;\n    };\n    /**\n     * Encode an array of features as a GeoJSON object.\n     *\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {GeoJSONFeatureCollection} GeoJSON Object.\n     * @api\n     */\n    GeoJSON.prototype.writeFeaturesObject = function (features, opt_options) {\n        opt_options = this.adaptOptions(opt_options);\n        var objects = [];\n        for (var i = 0, ii = features.length; i < ii; ++i) {\n            objects.push(this.writeFeatureObject(features[i], opt_options));\n        }\n        return {\n            type: 'FeatureCollection',\n            features: objects,\n        };\n    };\n    /**\n     * Encode a geometry as a GeoJSON object.\n     *\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {GeoJSONGeometry|GeoJSONGeometryCollection} Object.\n     * @api\n     */\n    GeoJSON.prototype.writeGeometryObject = function (geometry, opt_options) {\n        return writeGeometry(geometry, this.adaptOptions(opt_options));\n    };\n    return GeoJSON;\n}(JSONFeature));\n/**\n * @param {GeoJSONGeometry|GeoJSONGeometryCollection} object Object.\n * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n * @return {import(\"../geom/Geometry.js\").default} Geometry.\n */\nfunction readGeometry(object, opt_options) {\n    if (!object) {\n        return null;\n    }\n    /**\n     * @type {import(\"../geom/Geometry.js\").default}\n     */\n    var geometry;\n    switch (object['type']) {\n        case GeometryType.POINT: {\n            geometry = readPointGeometry(/** @type {GeoJSONPoint} */ (object));\n            break;\n        }\n        case GeometryType.LINE_STRING: {\n            geometry = readLineStringGeometry(\n            /** @type {GeoJSONLineString} */ (object));\n            break;\n        }\n        case GeometryType.POLYGON: {\n            geometry = readPolygonGeometry(/** @type {GeoJSONPolygon} */ (object));\n            break;\n        }\n        case GeometryType.MULTI_POINT: {\n            geometry = readMultiPointGeometry(\n            /** @type {GeoJSONMultiPoint} */ (object));\n            break;\n        }\n        case GeometryType.MULTI_LINE_STRING: {\n            geometry = readMultiLineStringGeometry(\n            /** @type {GeoJSONMultiLineString} */ (object));\n            break;\n        }\n        case GeometryType.MULTI_POLYGON: {\n            geometry = readMultiPolygonGeometry(\n            /** @type {GeoJSONMultiPolygon} */ (object));\n            break;\n        }\n        case GeometryType.GEOMETRY_COLLECTION: {\n            geometry = readGeometryCollectionGeometry(\n            /** @type {GeoJSONGeometryCollection} */ (object));\n            break;\n        }\n        default: {\n            throw new Error('Unsupported GeoJSON type: ' + object.type);\n        }\n    }\n    return transformGeometryWithOptions(geometry, false, opt_options);\n}\n/**\n * @param {GeoJSONGeometryCollection} object Object.\n * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n * @return {GeometryCollection} Geometry collection.\n */\nfunction readGeometryCollectionGeometry(object, opt_options) {\n    var geometries = object['geometries'].map(\n    /**\n     * @param {GeoJSONGeometry} geometry Geometry.\n     * @return {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     */\n    function (geometry) {\n        return readGeometry(geometry, opt_options);\n    });\n    return new GeometryCollection(geometries);\n}\n/**\n * @param {GeoJSONPoint} object Object.\n * @return {Point} Point.\n */\nfunction readPointGeometry(object) {\n    return new Point(object['coordinates']);\n}\n/**\n * @param {GeoJSONLineString} object Object.\n * @return {LineString} LineString.\n */\nfunction readLineStringGeometry(object) {\n    return new LineString(object['coordinates']);\n}\n/**\n * @param {GeoJSONMultiLineString} object Object.\n * @return {MultiLineString} MultiLineString.\n */\nfunction readMultiLineStringGeometry(object) {\n    return new MultiLineString(object['coordinates']);\n}\n/**\n * @param {GeoJSONMultiPoint} object Object.\n * @return {MultiPoint} MultiPoint.\n */\nfunction readMultiPointGeometry(object) {\n    return new MultiPoint(object['coordinates']);\n}\n/**\n * @param {GeoJSONMultiPolygon} object Object.\n * @return {MultiPolygon} MultiPolygon.\n */\nfunction readMultiPolygonGeometry(object) {\n    return new MultiPolygon(object['coordinates']);\n}\n/**\n * @param {GeoJSONPolygon} object Object.\n * @return {Polygon} Polygon.\n */\nfunction readPolygonGeometry(object) {\n    return new Polygon(object['coordinates']);\n}\n/**\n * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writeGeometry(geometry, opt_options) {\n    geometry = transformGeometryWithOptions(geometry, true, opt_options);\n    var type = geometry.getType();\n    /** @type {GeoJSONGeometry} */\n    var geoJSON;\n    switch (type) {\n        case GeometryType.POINT: {\n            geoJSON = writePointGeometry(\n            /** @type {Point} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.LINE_STRING: {\n            geoJSON = writeLineStringGeometry(\n            /** @type {LineString} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.POLYGON: {\n            geoJSON = writePolygonGeometry(\n            /** @type {Polygon} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.MULTI_POINT: {\n            geoJSON = writeMultiPointGeometry(\n            /** @type {MultiPoint} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.MULTI_LINE_STRING: {\n            geoJSON = writeMultiLineStringGeometry(\n            /** @type {MultiLineString} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.MULTI_POLYGON: {\n            geoJSON = writeMultiPolygonGeometry(\n            /** @type {MultiPolygon} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.GEOMETRY_COLLECTION: {\n            geoJSON = writeGeometryCollectionGeometry(\n            /** @type {GeometryCollection} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.CIRCLE: {\n            geoJSON = {\n                type: 'GeometryCollection',\n                geometries: [],\n            };\n            break;\n        }\n        default: {\n            throw new Error('Unsupported geometry type: ' + type);\n        }\n    }\n    return geoJSON;\n}\n/**\n * @param {GeometryCollection} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometryCollection} GeoJSON geometry collection.\n */\nfunction writeGeometryCollectionGeometry(geometry, opt_options) {\n    var geometries = geometry.getGeometriesArray().map(function (geometry) {\n        var options = assign({}, opt_options);\n        delete options.featureProjection;\n        return writeGeometry(geometry, options);\n    });\n    return {\n        type: 'GeometryCollection',\n        geometries: geometries,\n    };\n}\n/**\n * @param {LineString} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writeLineStringGeometry(geometry, opt_options) {\n    return {\n        type: 'LineString',\n        coordinates: geometry.getCoordinates(),\n    };\n}\n/**\n * @param {MultiLineString} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writeMultiLineStringGeometry(geometry, opt_options) {\n    return {\n        type: 'MultiLineString',\n        coordinates: geometry.getCoordinates(),\n    };\n}\n/**\n * @param {MultiPoint} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writeMultiPointGeometry(geometry, opt_options) {\n    return {\n        type: 'MultiPoint',\n        coordinates: geometry.getCoordinates(),\n    };\n}\n/**\n * @param {MultiPolygon} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writeMultiPolygonGeometry(geometry, opt_options) {\n    var right;\n    if (opt_options) {\n        right = opt_options.rightHanded;\n    }\n    return {\n        type: 'MultiPolygon',\n        coordinates: geometry.getCoordinates(right),\n    };\n}\n/**\n * @param {Point} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writePointGeometry(geometry, opt_options) {\n    return {\n        type: 'Point',\n        coordinates: geometry.getCoordinates(),\n    };\n}\n/**\n * @param {Polygon} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writePolygonGeometry(geometry, opt_options) {\n    var right;\n    if (opt_options) {\n        right = opt_options.rightHanded;\n    }\n    return {\n        type: 'Polygon',\n        coordinates: geometry.getCoordinates(right),\n    };\n}\nexport default GeoJSON;\n//# sourceMappingURL=GeoJSON.js.map","/**\n * @module ol/xml\n */\nimport { extend } from './array.js';\n/**\n * When using {@link module:ol/xml.makeChildAppender} or\n * {@link module:ol/xml.makeSimpleNodeFactory}, the top `objectStack` item needs\n * to have this structure.\n * @typedef {Object} NodeStackItem\n * @property {Node} node Node.\n */\n/**\n * @typedef {function(Element, Array<*>): void} Parser\n */\n/**\n * @typedef {function(Element, *, Array<*>): void} Serializer\n */\n/**\n * @type {string}\n */\nexport var XML_SCHEMA_INSTANCE_URI = 'http://www.w3.org/2001/XMLSchema-instance';\n/**\n * @param {string} namespaceURI Namespace URI.\n * @param {string} qualifiedName Qualified name.\n * @return {Element} Node.\n */\nexport function createElementNS(namespaceURI, qualifiedName) {\n    return getDocument().createElementNS(namespaceURI, qualifiedName);\n}\n/**\n * Recursively grab all text content of child nodes into a single string.\n * @param {Node} node Node.\n * @param {boolean} normalizeWhitespace Normalize whitespace: remove all line\n * breaks.\n * @return {string} All text content.\n * @api\n */\nexport function getAllTextContent(node, normalizeWhitespace) {\n    return getAllTextContent_(node, normalizeWhitespace, []).join('');\n}\n/**\n * Recursively grab all text content of child nodes into a single string.\n * @param {Node} node Node.\n * @param {boolean} normalizeWhitespace Normalize whitespace: remove all line\n * breaks.\n * @param {Array<string>} accumulator Accumulator.\n * @private\n * @return {Array<string>} Accumulator.\n */\nexport function getAllTextContent_(node, normalizeWhitespace, accumulator) {\n    if (node.nodeType == Node.CDATA_SECTION_NODE ||\n        node.nodeType == Node.TEXT_NODE) {\n        if (normalizeWhitespace) {\n            accumulator.push(String(node.nodeValue).replace(/(\\r\\n|\\r|\\n)/g, ''));\n        }\n        else {\n            accumulator.push(node.nodeValue);\n        }\n    }\n    else {\n        var n = void 0;\n        for (n = node.firstChild; n; n = n.nextSibling) {\n            getAllTextContent_(n, normalizeWhitespace, accumulator);\n        }\n    }\n    return accumulator;\n}\n/**\n * @param {Object} object Object.\n * @return {boolean} Is a document.\n */\nexport function isDocument(object) {\n    return 'documentElement' in object;\n}\n/**\n * @param {Element} node Node.\n * @param {?string} namespaceURI Namespace URI.\n * @param {string} name Attribute name.\n * @return {string} Value\n */\nexport function getAttributeNS(node, namespaceURI, name) {\n    return node.getAttributeNS(namespaceURI, name) || '';\n}\n/**\n * Parse an XML string to an XML Document.\n * @param {string} xml XML.\n * @return {Document} Document.\n * @api\n */\nexport function parse(xml) {\n    return new DOMParser().parseFromString(xml, 'application/xml');\n}\n/**\n * Make an array extender function for extending the array at the top of the\n * object stack.\n * @param {function(this: T, Node, Array<*>): (Array<*>|undefined)} valueReader Value reader.\n * @param {T} [opt_this] The object to use as `this` in `valueReader`.\n * @return {Parser} Parser.\n * @template T\n */\nexport function makeArrayExtender(valueReader, opt_this) {\n    return (\n    /**\n     * @param {Node} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     */\n    function (node, objectStack) {\n        var value = valueReader.call(opt_this !== undefined ? opt_this : this, node, objectStack);\n        if (value !== undefined) {\n            var array = /** @type {Array<*>} */ (objectStack[objectStack.length - 1]);\n            extend(array, value);\n        }\n    });\n}\n/**\n * Make an array pusher function for pushing to the array at the top of the\n * object stack.\n * @param {function(this: T, Element, Array<*>): *} valueReader Value reader.\n * @param {T} [opt_this] The object to use as `this` in `valueReader`.\n * @return {Parser} Parser.\n * @template T\n */\nexport function makeArrayPusher(valueReader, opt_this) {\n    return (\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     */\n    function (node, objectStack) {\n        var value = valueReader.call(opt_this !== undefined ? opt_this : this, node, objectStack);\n        if (value !== undefined) {\n            var array = /** @type {Array<*>} */ (objectStack[objectStack.length - 1]);\n            array.push(value);\n        }\n    });\n}\n/**\n * Make an object stack replacer function for replacing the object at the\n * top of the stack.\n * @param {function(this: T, Node, Array<*>): *} valueReader Value reader.\n * @param {T} [opt_this] The object to use as `this` in `valueReader`.\n * @return {Parser} Parser.\n * @template T\n */\nexport function makeReplacer(valueReader, opt_this) {\n    return (\n    /**\n     * @param {Node} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     */\n    function (node, objectStack) {\n        var value = valueReader.call(opt_this !== undefined ? opt_this : this, node, objectStack);\n        if (value !== undefined) {\n            objectStack[objectStack.length - 1] = value;\n        }\n    });\n}\n/**\n * Make an object property pusher function for adding a property to the\n * object at the top of the stack.\n * @param {function(this: T, Element, Array<*>): *} valueReader Value reader.\n * @param {string} [opt_property] Property.\n * @param {T} [opt_this] The object to use as `this` in `valueReader`.\n * @return {Parser} Parser.\n * @template T\n */\nexport function makeObjectPropertyPusher(valueReader, opt_property, opt_this) {\n    return (\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     */\n    function (node, objectStack) {\n        var value = valueReader.call(opt_this !== undefined ? opt_this : this, node, objectStack);\n        if (value !== undefined) {\n            var object = /** @type {!Object} */ (objectStack[objectStack.length - 1]);\n            var property = opt_property !== undefined ? opt_property : node.localName;\n            var array = void 0;\n            if (property in object) {\n                array = object[property];\n            }\n            else {\n                array = [];\n                object[property] = array;\n            }\n            array.push(value);\n        }\n    });\n}\n/**\n * Make an object property setter function.\n * @param {function(this: T, Element, Array<*>): *} valueReader Value reader.\n * @param {string} [opt_property] Property.\n * @param {T} [opt_this] The object to use as `this` in `valueReader`.\n * @return {Parser} Parser.\n * @template T\n */\nexport function makeObjectPropertySetter(valueReader, opt_property, opt_this) {\n    return (\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     */\n    function (node, objectStack) {\n        var value = valueReader.call(opt_this !== undefined ? opt_this : this, node, objectStack);\n        if (value !== undefined) {\n            var object = /** @type {!Object} */ (objectStack[objectStack.length - 1]);\n            var property = opt_property !== undefined ? opt_property : node.localName;\n            object[property] = value;\n        }\n    });\n}\n/**\n * Create a serializer that appends nodes written by its `nodeWriter` to its\n * designated parent. The parent is the `node` of the\n * {@link module:ol/xml~NodeStackItem} at the top of the `objectStack`.\n * @param {function(this: T, Node, V, Array<*>): void} nodeWriter Node writer.\n * @param {T} [opt_this] The object to use as `this` in `nodeWriter`.\n * @return {Serializer} Serializer.\n * @template T, V\n */\nexport function makeChildAppender(nodeWriter, opt_this) {\n    return function (node, value, objectStack) {\n        nodeWriter.call(opt_this !== undefined ? opt_this : this, node, value, objectStack);\n        var parent = /** @type {NodeStackItem} */ (objectStack[objectStack.length - 1]);\n        var parentNode = parent.node;\n        parentNode.appendChild(node);\n    };\n}\n/**\n * Create a serializer that calls the provided `nodeWriter` from\n * {@link module:ol/xml.serialize}. This can be used by the parent writer to have the\n * 'nodeWriter' called with an array of values when the `nodeWriter` was\n * designed to serialize a single item. An example would be a LineString\n * geometry writer, which could be reused for writing MultiLineString\n * geometries.\n * @param {function(this: T, Element, V, Array<*>): void} nodeWriter Node writer.\n * @param {T} [opt_this] The object to use as `this` in `nodeWriter`.\n * @return {Serializer} Serializer.\n * @template T, V\n */\nexport function makeArraySerializer(nodeWriter, opt_this) {\n    var serializersNS, nodeFactory;\n    return function (node, value, objectStack) {\n        if (serializersNS === undefined) {\n            serializersNS = {};\n            var serializers = {};\n            serializers[node.localName] = nodeWriter;\n            serializersNS[node.namespaceURI] = serializers;\n            nodeFactory = makeSimpleNodeFactory(node.localName);\n        }\n        serialize(serializersNS, nodeFactory, value, objectStack);\n    };\n}\n/**\n * Create a node factory which can use the `opt_keys` passed to\n * {@link module:ol/xml.serialize} or {@link module:ol/xml.pushSerializeAndPop} as node names,\n * or a fixed node name. The namespace of the created nodes can either be fixed,\n * or the parent namespace will be used.\n * @param {string} [opt_nodeName] Fixed node name which will be used for all\n *     created nodes. If not provided, the 3rd argument to the resulting node\n *     factory needs to be provided and will be the nodeName.\n * @param {string} [opt_namespaceURI] Fixed namespace URI which will be used for\n *     all created nodes. If not provided, the namespace of the parent node will\n *     be used.\n * @return {function(*, Array<*>, string=): (Node|undefined)} Node factory.\n */\nexport function makeSimpleNodeFactory(opt_nodeName, opt_namespaceURI) {\n    var fixedNodeName = opt_nodeName;\n    return (\n    /**\n     * @param {*} value Value.\n     * @param {Array<*>} objectStack Object stack.\n     * @param {string} [opt_nodeName] Node name.\n     * @return {Node} Node.\n     */\n    function (value, objectStack, opt_nodeName) {\n        var context = /** @type {NodeStackItem} */ (objectStack[objectStack.length - 1]);\n        var node = context.node;\n        var nodeName = fixedNodeName;\n        if (nodeName === undefined) {\n            nodeName = opt_nodeName;\n        }\n        var namespaceURI = opt_namespaceURI !== undefined ? opt_namespaceURI : node.namespaceURI;\n        return createElementNS(namespaceURI, /** @type {string} */ (nodeName));\n    });\n}\n/**\n * A node factory that creates a node using the parent's `namespaceURI` and the\n * `nodeName` passed by {@link module:ol/xml.serialize} or\n * {@link module:ol/xml.pushSerializeAndPop} to the node factory.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nexport var OBJECT_PROPERTY_NODE_FACTORY = makeSimpleNodeFactory();\n/**\n * Create an array of `values` to be used with {@link module:ol/xml.serialize} or\n * {@link module:ol/xml.pushSerializeAndPop}, where `orderedKeys` has to be provided as\n * `opt_key` argument.\n * @param {Object<string, *>} object Key-value pairs for the sequence. Keys can\n *     be a subset of the `orderedKeys`.\n * @param {Array<string>} orderedKeys Keys in the order of the sequence.\n * @return {Array<*>} Values in the order of the sequence. The resulting array\n *     has the same length as the `orderedKeys` array. Values that are not\n *     present in `object` will be `undefined` in the resulting array.\n */\nexport function makeSequence(object, orderedKeys) {\n    var length = orderedKeys.length;\n    var sequence = new Array(length);\n    for (var i = 0; i < length; ++i) {\n        sequence[i] = object[orderedKeys[i]];\n    }\n    return sequence;\n}\n/**\n * Create a namespaced structure, using the same values for each namespace.\n * This can be used as a starting point for versioned parsers, when only a few\n * values are version specific.\n * @param {Array<string>} namespaceURIs Namespace URIs.\n * @param {T} structure Structure.\n * @param {Object<string, T>} [opt_structureNS] Namespaced structure to add to.\n * @return {Object<string, T>} Namespaced structure.\n * @template T\n */\nexport function makeStructureNS(namespaceURIs, structure, opt_structureNS) {\n    /**\n     * @type {Object<string, T>}\n     */\n    var structureNS = opt_structureNS !== undefined ? opt_structureNS : {};\n    var i, ii;\n    for (i = 0, ii = namespaceURIs.length; i < ii; ++i) {\n        structureNS[namespaceURIs[i]] = structure;\n    }\n    return structureNS;\n}\n/**\n * Parse a node using the parsers and object stack.\n * @param {Object<string, Object<string, Parser>>} parsersNS\n *     Parsers by namespace.\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @param {*} [opt_this] The object to use as `this`.\n */\nexport function parseNode(parsersNS, node, objectStack, opt_this) {\n    var n;\n    for (n = node.firstElementChild; n; n = n.nextElementSibling) {\n        var parsers = parsersNS[n.namespaceURI];\n        if (parsers !== undefined) {\n            var parser = parsers[n.localName];\n            if (parser !== undefined) {\n                parser.call(opt_this, n, objectStack);\n            }\n        }\n    }\n}\n/**\n * Push an object on top of the stack, parse and return the popped object.\n * @param {T} object Object.\n * @param {Object<string, Object<string, Parser>>} parsersNS\n *     Parsers by namespace.\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @param {*} [opt_this] The object to use as `this`.\n * @return {T} Object.\n * @template T\n */\nexport function pushParseAndPop(object, parsersNS, node, objectStack, opt_this) {\n    objectStack.push(object);\n    parseNode(parsersNS, node, objectStack, opt_this);\n    return /** @type {T} */ (objectStack.pop());\n}\n/**\n * Walk through an array of `values` and call a serializer for each value.\n * @param {Object<string, Object<string, Serializer>>} serializersNS\n *     Namespaced serializers.\n * @param {function(this: T, *, Array<*>, (string|undefined)): (Node|undefined)} nodeFactory\n *     Node factory. The `nodeFactory` creates the node whose namespace and name\n *     will be used to choose a node writer from `serializersNS`. This\n *     separation allows us to decide what kind of node to create, depending on\n *     the value we want to serialize. An example for this would be different\n *     geometry writers based on the geometry type.\n * @param {Array<*>} values Values to serialize. An example would be an array\n *     of {@link module:ol/Feature~Feature} instances.\n * @param {Array<*>} objectStack Node stack.\n * @param {Array<string>} [opt_keys] Keys of the `values`. Will be passed to the\n *     `nodeFactory`. This is used for serializing object literals where the\n *     node name relates to the property key. The array length of `opt_keys` has\n *     to match the length of `values`. For serializing a sequence, `opt_keys`\n *     determines the order of the sequence.\n * @param {T} [opt_this] The object to use as `this` for the node factory and\n *     serializers.\n * @template T\n */\nexport function serialize(serializersNS, nodeFactory, values, objectStack, opt_keys, opt_this) {\n    var length = (opt_keys !== undefined ? opt_keys : values).length;\n    var value, node;\n    for (var i = 0; i < length; ++i) {\n        value = values[i];\n        if (value !== undefined) {\n            node = nodeFactory.call(opt_this !== undefined ? opt_this : this, value, objectStack, opt_keys !== undefined ? opt_keys[i] : undefined);\n            if (node !== undefined) {\n                serializersNS[node.namespaceURI][node.localName].call(opt_this, node, value, objectStack);\n            }\n        }\n    }\n}\n/**\n * @param {O} object Object.\n * @param {Object<string, Object<string, Serializer>>} serializersNS\n *     Namespaced serializers.\n * @param {function(this: T, *, Array<*>, (string|undefined)): (Node|undefined)} nodeFactory\n *     Node factory. The `nodeFactory` creates the node whose namespace and name\n *     will be used to choose a node writer from `serializersNS`. This\n *     separation allows us to decide what kind of node to create, depending on\n *     the value we want to serialize. An example for this would be different\n *     geometry writers based on the geometry type.\n * @param {Array<*>} values Values to serialize. An example would be an array\n *     of {@link module:ol/Feature~Feature} instances.\n * @param {Array<*>} objectStack Node stack.\n * @param {Array<string>} [opt_keys] Keys of the `values`. Will be passed to the\n *     `nodeFactory`. This is used for serializing object literals where the\n *     node name relates to the property key. The array length of `opt_keys` has\n *     to match the length of `values`. For serializing a sequence, `opt_keys`\n *     determines the order of the sequence.\n * @param {T} [opt_this] The object to use as `this` for the node factory and\n *     serializers.\n * @return {O|undefined} Object.\n * @template O, T\n */\nexport function pushSerializeAndPop(object, serializersNS, nodeFactory, values, objectStack, opt_keys, opt_this) {\n    objectStack.push(object);\n    serialize(serializersNS, nodeFactory, values, objectStack, opt_keys, opt_this);\n    return /** @type {O|undefined} */ (objectStack.pop());\n}\nvar xmlSerializer_ = undefined;\n/**\n * Register a XMLSerializer. Can be used  to inject a XMLSerializer\n * where there is no globally available implementation.\n *\n * @param {XMLSerializer} xmlSerializer A XMLSerializer.\n * @api\n */\nexport function registerXMLSerializer(xmlSerializer) {\n    xmlSerializer_ = xmlSerializer;\n}\n/**\n * @return {XMLSerializer} The XMLSerializer.\n */\nexport function getXMLSerializer() {\n    if (xmlSerializer_ === undefined && typeof XMLSerializer !== 'undefined') {\n        xmlSerializer_ = new XMLSerializer();\n    }\n    return xmlSerializer_;\n}\nvar document_ = undefined;\n/**\n * Register a Document to use when creating nodes for XML serializations. Can be used\n * to inject a Document where there is no globally available implementation.\n *\n * @param {Document} document A Document.\n * @api\n */\nexport function registerDocument(document) {\n    document_ = document;\n}\n/**\n * Get a document that should be used when creating nodes for XML serializations.\n * @return {Document} The document.\n */\nexport function getDocument() {\n    if (document_ === undefined && typeof document !== 'undefined') {\n        document_ = document.implementation.createDocument('', '', null);\n    }\n    return document_;\n}\n//# sourceMappingURL=xml.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/format/XMLFeature\n */\nimport FeatureFormat from '../format/Feature.js';\nimport FormatType from '../format/FormatType.js';\nimport { abstract } from '../util.js';\nimport { extend } from '../array.js';\nimport { getXMLSerializer, isDocument, parse } from '../xml.js';\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for XML feature formats.\n *\n * @abstract\n */\nvar XMLFeature = /** @class */ (function (_super) {\n    __extends(XMLFeature, _super);\n    function XMLFeature() {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {XMLSerializer}\n         * @private\n         */\n        _this.xmlSerializer_ = getXMLSerializer();\n        return _this;\n    }\n    /**\n     * @return {import(\"./FormatType.js\").default} Format.\n     */\n    XMLFeature.prototype.getType = function () {\n        return FormatType.XML;\n    };\n    /**\n     * Read a single feature.\n     *\n     * @param {Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {import(\"../Feature.js\").default} Feature.\n     * @api\n     */\n    XMLFeature.prototype.readFeature = function (source, opt_options) {\n        if (!source) {\n            return null;\n        }\n        else if (typeof source === 'string') {\n            var doc = parse(source);\n            return this.readFeatureFromDocument(doc, opt_options);\n        }\n        else if (isDocument(source)) {\n            return this.readFeatureFromDocument(\n            /** @type {Document} */ (source), opt_options);\n        }\n        else {\n            return this.readFeatureFromNode(\n            /** @type {Element} */ (source), opt_options);\n        }\n    };\n    /**\n     * @param {Document} doc Document.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @return {import(\"../Feature.js\").default} Feature.\n     */\n    XMLFeature.prototype.readFeatureFromDocument = function (doc, opt_options) {\n        var features = this.readFeaturesFromDocument(doc, opt_options);\n        if (features.length > 0) {\n            return features[0];\n        }\n        else {\n            return null;\n        }\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @return {import(\"../Feature.js\").default} Feature.\n     */\n    XMLFeature.prototype.readFeatureFromNode = function (node, opt_options) {\n        return null; // not implemented\n    };\n    /**\n     * Read all features from a feature collection.\n     *\n     * @param {Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     * @api\n     */\n    XMLFeature.prototype.readFeatures = function (source, opt_options) {\n        if (!source) {\n            return [];\n        }\n        else if (typeof source === 'string') {\n            var doc = parse(source);\n            return this.readFeaturesFromDocument(doc, opt_options);\n        }\n        else if (isDocument(source)) {\n            return this.readFeaturesFromDocument(\n            /** @type {Document} */ (source), opt_options);\n        }\n        else {\n            return this.readFeaturesFromNode(\n            /** @type {Element} */ (source), opt_options);\n        }\n    };\n    /**\n     * @param {Document} doc Document.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @protected\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     */\n    XMLFeature.prototype.readFeaturesFromDocument = function (doc, opt_options) {\n        /** @type {Array<import(\"../Feature.js\").default>} */\n        var features = [];\n        for (var n = doc.firstChild; n; n = n.nextSibling) {\n            if (n.nodeType == Node.ELEMENT_NODE) {\n                extend(features, this.readFeaturesFromNode(/** @type {Element} */ (n), opt_options));\n            }\n        }\n        return features;\n    };\n    /**\n     * @abstract\n     * @param {Element} node Node.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @protected\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     */\n    XMLFeature.prototype.readFeaturesFromNode = function (node, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read a single geometry from a source.\n     *\n     * @param {Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    XMLFeature.prototype.readGeometry = function (source, opt_options) {\n        if (!source) {\n            return null;\n        }\n        else if (typeof source === 'string') {\n            var doc = parse(source);\n            return this.readGeometryFromDocument(doc, opt_options);\n        }\n        else if (isDocument(source)) {\n            return this.readGeometryFromDocument(\n            /** @type {Document} */ (source), opt_options);\n        }\n        else {\n            return this.readGeometryFromNode(\n            /** @type {Element} */ (source), opt_options);\n        }\n    };\n    /**\n     * @param {Document} doc Document.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @protected\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    XMLFeature.prototype.readGeometryFromDocument = function (doc, opt_options) {\n        return null; // not implemented\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @protected\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    XMLFeature.prototype.readGeometryFromNode = function (node, opt_options) {\n        return null; // not implemented\n    };\n    /**\n     * Read the projection from the source.\n     *\n     * @param {Document|Element|Object|string} source Source.\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     * @api\n     */\n    XMLFeature.prototype.readProjection = function (source) {\n        if (!source) {\n            return null;\n        }\n        else if (typeof source === 'string') {\n            var doc = parse(source);\n            return this.readProjectionFromDocument(doc);\n        }\n        else if (isDocument(source)) {\n            return this.readProjectionFromDocument(/** @type {Document} */ (source));\n        }\n        else {\n            return this.readProjectionFromNode(/** @type {Element} */ (source));\n        }\n    };\n    /**\n     * @param {Document} doc Document.\n     * @protected\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     */\n    XMLFeature.prototype.readProjectionFromDocument = function (doc) {\n        return this.dataProjection;\n    };\n    /**\n     * @param {Element} node Node.\n     * @protected\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     */\n    XMLFeature.prototype.readProjectionFromNode = function (node) {\n        return this.dataProjection;\n    };\n    /**\n     * Encode a feature as string.\n     *\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Encoded feature.\n     */\n    XMLFeature.prototype.writeFeature = function (feature, opt_options) {\n        var node = this.writeFeatureNode(feature, opt_options);\n        return this.xmlSerializer_.serializeToString(node);\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Options.\n     * @protected\n     * @return {Node} Node.\n     */\n    XMLFeature.prototype.writeFeatureNode = function (feature, opt_options) {\n        return null; // not implemented\n    };\n    /**\n     * Encode an array of features as string.\n     *\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Result.\n     * @api\n     */\n    XMLFeature.prototype.writeFeatures = function (features, opt_options) {\n        var node = this.writeFeaturesNode(features, opt_options);\n        return this.xmlSerializer_.serializeToString(node);\n    };\n    /**\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Options.\n     * @return {Node} Node.\n     */\n    XMLFeature.prototype.writeFeaturesNode = function (features, opt_options) {\n        return null; // not implemented\n    };\n    /**\n     * Encode a geometry as string.\n     *\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Encoded geometry.\n     */\n    XMLFeature.prototype.writeGeometry = function (geometry, opt_options) {\n        var node = this.writeGeometryNode(geometry, opt_options);\n        return this.xmlSerializer_.serializeToString(node);\n    };\n    /**\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Options.\n     * @return {Node} Node.\n     */\n    XMLFeature.prototype.writeGeometryNode = function (geometry, opt_options) {\n        return null; // not implemented\n    };\n    return XMLFeature;\n}(FeatureFormat));\nexport default XMLFeature;\n//# sourceMappingURL=XMLFeature.js.map","/**\n * @module ol/format/xsd\n */\nimport { getAllTextContent, getDocument } from '../xml.js';\nimport { padNumber } from '../string.js';\n/**\n * @param {Node} node Node.\n * @return {boolean|undefined} Boolean.\n */\nexport function readBoolean(node) {\n    var s = getAllTextContent(node, false);\n    return readBooleanString(s);\n}\n/**\n * @param {string} string String.\n * @return {boolean|undefined} Boolean.\n */\nexport function readBooleanString(string) {\n    var m = /^\\s*(true|1)|(false|0)\\s*$/.exec(string);\n    if (m) {\n        return m[1] !== undefined || false;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {number|undefined} DateTime in seconds.\n */\nexport function readDateTime(node) {\n    var s = getAllTextContent(node, false);\n    var dateTime = Date.parse(s);\n    return isNaN(dateTime) ? undefined : dateTime / 1000;\n}\n/**\n * @param {Node} node Node.\n * @return {number|undefined} Decimal.\n */\nexport function readDecimal(node) {\n    var s = getAllTextContent(node, false);\n    return readDecimalString(s);\n}\n/**\n * @param {string} string String.\n * @return {number|undefined} Decimal.\n */\nexport function readDecimalString(string) {\n    // FIXME check spec\n    var m = /^\\s*([+\\-]?\\d*\\.?\\d+(?:e[+\\-]?\\d+)?)\\s*$/i.exec(string);\n    if (m) {\n        return parseFloat(m[1]);\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {number|undefined} Non negative integer.\n */\nexport function readPositiveInteger(node) {\n    var s = getAllTextContent(node, false);\n    return readNonNegativeIntegerString(s);\n}\n/**\n * @param {string} string String.\n * @return {number|undefined} Non negative integer.\n */\nexport function readNonNegativeIntegerString(string) {\n    var m = /^\\s*(\\d+)\\s*$/.exec(string);\n    if (m) {\n        return parseInt(m[1], 10);\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {string|undefined} String.\n */\nexport function readString(node) {\n    return getAllTextContent(node, false).trim();\n}\n/**\n * @param {Node} node Node to append a TextNode with the boolean to.\n * @param {boolean} bool Boolean.\n */\nexport function writeBooleanTextNode(node, bool) {\n    writeStringTextNode(node, bool ? '1' : '0');\n}\n/**\n * @param {Node} node Node to append a CDATA Section with the string to.\n * @param {string} string String.\n */\nexport function writeCDATASection(node, string) {\n    node.appendChild(getDocument().createCDATASection(string));\n}\n/**\n * @param {Node} node Node to append a TextNode with the dateTime to.\n * @param {number} dateTime DateTime in seconds.\n */\nexport function writeDateTimeTextNode(node, dateTime) {\n    var date = new Date(dateTime * 1000);\n    var string = date.getUTCFullYear() +\n        '-' +\n        padNumber(date.getUTCMonth() + 1, 2) +\n        '-' +\n        padNumber(date.getUTCDate(), 2) +\n        'T' +\n        padNumber(date.getUTCHours(), 2) +\n        ':' +\n        padNumber(date.getUTCMinutes(), 2) +\n        ':' +\n        padNumber(date.getUTCSeconds(), 2) +\n        'Z';\n    node.appendChild(getDocument().createTextNode(string));\n}\n/**\n * @param {Node} node Node to append a TextNode with the decimal to.\n * @param {number} decimal Decimal.\n */\nexport function writeDecimalTextNode(node, decimal) {\n    var string = decimal.toPrecision();\n    node.appendChild(getDocument().createTextNode(string));\n}\n/**\n * @param {Node} node Node to append a TextNode with the decimal to.\n * @param {number} nonNegativeInteger Non negative integer.\n */\nexport function writeNonNegativeIntegerTextNode(node, nonNegativeInteger) {\n    var string = nonNegativeInteger.toString();\n    node.appendChild(getDocument().createTextNode(string));\n}\n/**\n * @param {Node} node Node to append a TextNode with the string to.\n * @param {string} string String.\n */\nexport function writeStringTextNode(node, string) {\n    node.appendChild(getDocument().createTextNode(string));\n}\n//# sourceMappingURL=xsd.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/format/KML\n */\nimport Feature from '../Feature.js';\nimport Fill from '../style/Fill.js';\nimport GeometryCollection from '../geom/GeometryCollection.js';\nimport GeometryLayout from '../geom/GeometryLayout.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport Icon from '../style/Icon.js';\nimport IconAnchorUnits from '../style/IconAnchorUnits.js';\nimport IconOrigin from '../style/IconOrigin.js';\nimport ImageState from '../ImageState.js';\nimport LineString from '../geom/LineString.js';\nimport MultiLineString from '../geom/MultiLineString.js';\nimport MultiPoint from '../geom/MultiPoint.js';\nimport MultiPolygon from '../geom/MultiPolygon.js';\nimport Point from '../geom/Point.js';\nimport Polygon from '../geom/Polygon.js';\nimport Stroke from '../style/Stroke.js';\nimport Style from '../style/Style.js';\nimport Text from '../style/Text.js';\nimport XMLFeature from './XMLFeature.js';\nimport { OBJECT_PROPERTY_NODE_FACTORY, XML_SCHEMA_INSTANCE_URI, createElementNS, getAllTextContent, isDocument, makeArrayExtender, makeArrayPusher, makeChildAppender, makeObjectPropertySetter, makeReplacer, makeSequence, makeSimpleNodeFactory, makeStructureNS, parse, parseNode, pushParseAndPop, pushSerializeAndPop, } from '../xml.js';\nimport { asArray } from '../color.js';\nimport { assert } from '../asserts.js';\nimport { extend, includes } from '../array.js';\nimport { get as getProjection } from '../proj.js';\nimport { readBoolean, readDecimal, readString, writeBooleanTextNode, writeCDATASection, writeDecimalTextNode, writeStringTextNode, } from './xsd.js';\nimport { toRadians } from '../math.js';\nimport { transformGeometryWithOptions } from './Feature.js';\n/**\n * @typedef {Object} Vec2\n * @property {number} x X coordinate.\n * @property {import(\"../style/IconAnchorUnits\").default} xunits Units of x.\n * @property {number} y Y coordinate.\n * @property {import(\"../style/IconAnchorUnits\").default} yunits Units of Y.\n * @property {import(\"../style/IconOrigin.js\").default} [origin] Origin.\n */\n/**\n * @typedef {Object} GxTrackObject\n * @property {Array<Array<number>>} coordinates Coordinates.\n * @property {Array<number>} whens Whens.\n */\n/**\n * @const\n * @type {Array<string>}\n */\nvar GX_NAMESPACE_URIS = ['http://www.google.com/kml/ext/2.2'];\n/**\n * @const\n * @type {Array<null|string>}\n */\nvar NAMESPACE_URIS = [\n    null,\n    'http://earth.google.com/kml/2.0',\n    'http://earth.google.com/kml/2.1',\n    'http://earth.google.com/kml/2.2',\n    'http://www.opengis.net/kml/2.2',\n];\n/**\n * @const\n * @type {string}\n */\nvar SCHEMA_LOCATION = 'http://www.opengis.net/kml/2.2 ' +\n    'https://developers.google.com/kml/schema/kml22gx.xsd';\n/**\n * @type {Object<string, import(\"../style/IconAnchorUnits\").default>}\n */\nvar ICON_ANCHOR_UNITS_MAP = {\n    'fraction': IconAnchorUnits.FRACTION,\n    'pixels': IconAnchorUnits.PIXELS,\n    'insetPixels': IconAnchorUnits.PIXELS,\n};\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar PLACEMARK_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'ExtendedData': extendedDataParser,\n    'Region': regionParser,\n    'MultiGeometry': makeObjectPropertySetter(readMultiGeometry, 'geometry'),\n    'LineString': makeObjectPropertySetter(readLineString, 'geometry'),\n    'LinearRing': makeObjectPropertySetter(readLinearRing, 'geometry'),\n    'Point': makeObjectPropertySetter(readPoint, 'geometry'),\n    'Polygon': makeObjectPropertySetter(readPolygon, 'geometry'),\n    'Style': makeObjectPropertySetter(readStyle),\n    'StyleMap': placemarkStyleMapParser,\n    'address': makeObjectPropertySetter(readString),\n    'description': makeObjectPropertySetter(readString),\n    'name': makeObjectPropertySetter(readString),\n    'open': makeObjectPropertySetter(readBoolean),\n    'phoneNumber': makeObjectPropertySetter(readString),\n    'styleUrl': makeObjectPropertySetter(readStyleURL),\n    'visibility': makeObjectPropertySetter(readBoolean),\n}, makeStructureNS(GX_NAMESPACE_URIS, {\n    'MultiTrack': makeObjectPropertySetter(readGxMultiTrack, 'geometry'),\n    'Track': makeObjectPropertySetter(readGxTrack, 'geometry'),\n}));\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar NETWORK_LINK_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'ExtendedData': extendedDataParser,\n    'Region': regionParser,\n    'Link': linkParser,\n    'address': makeObjectPropertySetter(readString),\n    'description': makeObjectPropertySetter(readString),\n    'name': makeObjectPropertySetter(readString),\n    'open': makeObjectPropertySetter(readBoolean),\n    'phoneNumber': makeObjectPropertySetter(readString),\n    'visibility': makeObjectPropertySetter(readBoolean),\n});\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar LINK_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'href': makeObjectPropertySetter(readURI),\n});\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar REGION_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'LatLonAltBox': latLonAltBoxParser,\n    'Lod': lodParser,\n});\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar KML_SEQUENCE = makeStructureNS(NAMESPACE_URIS, ['Document', 'Placemark']);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar KML_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'Document': makeChildAppender(writeDocument),\n    'Placemark': makeChildAppender(writePlacemark),\n});\n/**\n * @type {import(\"../color.js\").Color}\n */\nvar DEFAULT_COLOR;\n/**\n * @type {Fill}\n */\nvar DEFAULT_FILL_STYLE = null;\n/**\n * Get the default fill style (or null if not yet set).\n * @return {Fill} The default fill style.\n */\nexport function getDefaultFillStyle() {\n    return DEFAULT_FILL_STYLE;\n}\n/**\n * @type {import(\"../size.js\").Size}\n */\nvar DEFAULT_IMAGE_STYLE_ANCHOR;\n/**\n * @type {import(\"../style/IconAnchorUnits\").default}\n */\nvar DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS;\n/**\n * @type {import(\"../style/IconAnchorUnits\").default}\n */\nvar DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS;\n/**\n * @type {import(\"../size.js\").Size}\n */\nvar DEFAULT_IMAGE_STYLE_SIZE;\n/**\n * @type {string}\n */\nvar DEFAULT_IMAGE_STYLE_SRC;\n/**\n * @type {import(\"../style/Image.js\").default}\n */\nvar DEFAULT_IMAGE_STYLE = null;\n/**\n * Get the default image style (or null if not yet set).\n * @return {import(\"../style/Image.js\").default} The default image style.\n */\nexport function getDefaultImageStyle() {\n    return DEFAULT_IMAGE_STYLE;\n}\n/**\n * @type {string}\n */\nvar DEFAULT_NO_IMAGE_STYLE;\n/**\n * @type {Stroke}\n */\nvar DEFAULT_STROKE_STYLE = null;\n/**\n * Get the default stroke style (or null if not yet set).\n * @return {Stroke} The default stroke style.\n */\nexport function getDefaultStrokeStyle() {\n    return DEFAULT_STROKE_STYLE;\n}\n/**\n * @type {Stroke}\n */\nvar DEFAULT_TEXT_STROKE_STYLE;\n/**\n * @type {Text}\n */\nvar DEFAULT_TEXT_STYLE = null;\n/**\n * Get the default text style (or null if not yet set).\n * @return {Text} The default text style.\n */\nexport function getDefaultTextStyle() {\n    return DEFAULT_TEXT_STYLE;\n}\n/**\n * @type {Style}\n */\nvar DEFAULT_STYLE = null;\n/**\n * Get the default style (or null if not yet set).\n * @return {Style} The default style.\n */\nexport function getDefaultStyle() {\n    return DEFAULT_STYLE;\n}\n/**\n * @type {Array<Style>}\n */\nvar DEFAULT_STYLE_ARRAY = null;\n/**\n * Get the default style array (or null if not yet set).\n * @return {Array<Style>} The default style.\n */\nexport function getDefaultStyleArray() {\n    return DEFAULT_STYLE_ARRAY;\n}\n/**\n * Function that returns the scale needed to normalize an icon image to 32 pixels.\n * @param {import(\"../size.js\").Size} size Image size.\n * @return {number} Scale.\n */\nfunction scaleForSize(size) {\n    return 32 / Math.min(size[0], size[1]);\n}\nfunction createStyleDefaults() {\n    DEFAULT_COLOR = [255, 255, 255, 1];\n    DEFAULT_FILL_STYLE = new Fill({\n        color: DEFAULT_COLOR,\n    });\n    DEFAULT_IMAGE_STYLE_ANCHOR = [20, 2];\n    DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS = IconAnchorUnits.PIXELS;\n    DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS = IconAnchorUnits.PIXELS;\n    DEFAULT_IMAGE_STYLE_SIZE = [64, 64];\n    DEFAULT_IMAGE_STYLE_SRC =\n        'https://maps.google.com/mapfiles/kml/pushpin/ylw-pushpin.png';\n    DEFAULT_IMAGE_STYLE = new Icon({\n        anchor: DEFAULT_IMAGE_STYLE_ANCHOR,\n        anchorOrigin: IconOrigin.BOTTOM_LEFT,\n        anchorXUnits: DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS,\n        anchorYUnits: DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS,\n        crossOrigin: 'anonymous',\n        rotation: 0,\n        scale: scaleForSize(DEFAULT_IMAGE_STYLE_SIZE),\n        size: DEFAULT_IMAGE_STYLE_SIZE,\n        src: DEFAULT_IMAGE_STYLE_SRC,\n    });\n    DEFAULT_NO_IMAGE_STYLE = 'NO_IMAGE';\n    DEFAULT_STROKE_STYLE = new Stroke({\n        color: DEFAULT_COLOR,\n        width: 1,\n    });\n    DEFAULT_TEXT_STROKE_STYLE = new Stroke({\n        color: [51, 51, 51, 1],\n        width: 2,\n    });\n    DEFAULT_TEXT_STYLE = new Text({\n        font: 'bold 16px Helvetica',\n        fill: DEFAULT_FILL_STYLE,\n        stroke: DEFAULT_TEXT_STROKE_STYLE,\n        scale: 0.8,\n    });\n    DEFAULT_STYLE = new Style({\n        fill: DEFAULT_FILL_STYLE,\n        image: DEFAULT_IMAGE_STYLE,\n        text: DEFAULT_TEXT_STYLE,\n        stroke: DEFAULT_STROKE_STYLE,\n        zIndex: 0,\n    });\n    DEFAULT_STYLE_ARRAY = [DEFAULT_STYLE];\n}\n/**\n * @type {HTMLTextAreaElement}\n */\nvar TEXTAREA;\n/**\n * A function that takes a url `{string}` and returns a url `{string}`.\n * Might be used to change an icon path or to substitute a\n * data url obtained from a KMZ array buffer.\n *\n * @typedef {function(string):string} IconUrlFunction\n * @api\n */\n/**\n * Function that returns a url unchanged.\n * @param {string} href Input url.\n * @return {string} Output url.\n */\nfunction defaultIconUrlFunction(href) {\n    return href;\n}\n/**\n * @typedef {Object} Options\n * @property {boolean} [extractStyles=true] Extract styles from the KML.\n * @property {boolean} [showPointNames=true] Show names as labels for placemarks which contain points.\n * @property {Array<Style>} [defaultStyle] Default style. The\n * default default style is the same as Google Earth.\n * @property {boolean} [writeStyles=true] Write styles into KML.\n * @property {null|string} [crossOrigin='anonymous'] The `crossOrigin` attribute for loaded images. Note that you must provide a\n * `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * @property {IconUrlFunction} [iconUrlFunction] Function that takes a url string and returns a url string.\n * Might be used to change an icon path or to substitute a data url obtained from a KMZ array buffer.\n */\n/**\n * @classdesc\n * Feature format for reading and writing data in the KML format.\n *\n * {@link module:ol/format/KML~KML#readFeature} will read the first feature from\n * a KML source.\n *\n * MultiGeometries are converted into GeometryCollections if they are a mix of\n * geometry types, and into MultiPoint/MultiLineString/MultiPolygon if they are\n * all of the same type.\n *\n * Note that the KML format uses the URL() constructor. Older browsers such as IE\n * which do not support this will need a URL polyfill to be loaded before use.\n *\n * @api\n */\nvar KML = /** @class */ (function (_super) {\n    __extends(KML, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function KML(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options ? opt_options : {};\n        if (!DEFAULT_STYLE_ARRAY) {\n            createStyleDefaults();\n        }\n        /**\n         * @type {import(\"../proj/Projection.js\").default}\n         */\n        _this.dataProjection = getProjection('EPSG:4326');\n        /**\n         * @private\n         * @type {Array<Style>}\n         */\n        _this.defaultStyle_ = options.defaultStyle\n            ? options.defaultStyle\n            : DEFAULT_STYLE_ARRAY;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.extractStyles_ =\n            options.extractStyles !== undefined ? options.extractStyles : true;\n        /**\n         * @type {boolean}\n         */\n        _this.writeStyles_ =\n            options.writeStyles !== undefined ? options.writeStyles : true;\n        /**\n         * @private\n         * @type {!Object<string, (Array<Style>|string)>}\n         */\n        _this.sharedStyles_ = {};\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.showPointNames_ =\n            options.showPointNames !== undefined ? options.showPointNames : true;\n        /**\n         * @type {null|string}\n         */\n        _this.crossOrigin_ =\n            options.crossOrigin !== undefined ? options.crossOrigin : 'anonymous';\n        /**\n         * @type {IconUrlFunction}\n         */\n        _this.iconUrlFunction_ = options.iconUrlFunction\n            ? options.iconUrlFunction\n            : defaultIconUrlFunction;\n        _this.supportedMediaTypes = ['application/vnd.google-earth.kml+xml'];\n        return _this;\n    }\n    /**\n     * @param {Node} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     * @private\n     * @return {Array<Feature>|undefined} Features.\n     */\n    KML.prototype.readDocumentOrFolder_ = function (node, objectStack) {\n        // FIXME use scope somehow\n        var parsersNS = makeStructureNS(NAMESPACE_URIS, {\n            'Document': makeArrayExtender(this.readDocumentOrFolder_, this),\n            'Folder': makeArrayExtender(this.readDocumentOrFolder_, this),\n            'Placemark': makeArrayPusher(this.readPlacemark_, this),\n            'Style': this.readSharedStyle_.bind(this),\n            'StyleMap': this.readSharedStyleMap_.bind(this),\n        });\n        /** @type {Array<Feature>} */\n        // @ts-ignore\n        var features = pushParseAndPop([], parsersNS, node, objectStack, this);\n        if (features) {\n            return features;\n        }\n        else {\n            return undefined;\n        }\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     * @private\n     * @return {Feature|undefined} Feature.\n     */\n    KML.prototype.readPlacemark_ = function (node, objectStack) {\n        var object = pushParseAndPop({ 'geometry': null }, PLACEMARK_PARSERS, node, objectStack, this);\n        if (!object) {\n            return undefined;\n        }\n        var feature = new Feature();\n        var id = node.getAttribute('id');\n        if (id !== null) {\n            feature.setId(id);\n        }\n        var options = /** @type {import(\"./Feature.js\").ReadOptions} */ (objectStack[0]);\n        var geometry = object['geometry'];\n        if (geometry) {\n            transformGeometryWithOptions(geometry, false, options);\n        }\n        feature.setGeometry(geometry);\n        delete object['geometry'];\n        if (this.extractStyles_) {\n            var style = object['Style'];\n            var styleUrl = object['styleUrl'];\n            var styleFunction = createFeatureStyleFunction(style, styleUrl, this.defaultStyle_, this.sharedStyles_, this.showPointNames_);\n            feature.setStyle(styleFunction);\n        }\n        delete object['Style'];\n        // we do not remove the styleUrl property from the object, so it\n        // gets stored on feature when setProperties is called\n        feature.setProperties(object, true);\n        return feature;\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     * @private\n     */\n    KML.prototype.readSharedStyle_ = function (node, objectStack) {\n        var id = node.getAttribute('id');\n        if (id !== null) {\n            var style = readStyle.call(this, node, objectStack);\n            if (style) {\n                var styleUri = void 0;\n                var baseURI = node.baseURI;\n                if (!baseURI || baseURI == 'about:blank') {\n                    baseURI = window.location.href;\n                }\n                if (baseURI) {\n                    var url = new URL('#' + id, baseURI);\n                    styleUri = url.href;\n                }\n                else {\n                    styleUri = '#' + id;\n                }\n                this.sharedStyles_[styleUri] = style;\n            }\n        }\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     * @private\n     */\n    KML.prototype.readSharedStyleMap_ = function (node, objectStack) {\n        var id = node.getAttribute('id');\n        if (id === null) {\n            return;\n        }\n        var styleMapValue = readStyleMapValue.call(this, node, objectStack);\n        if (!styleMapValue) {\n            return;\n        }\n        var styleUri;\n        var baseURI = node.baseURI;\n        if (!baseURI || baseURI == 'about:blank') {\n            baseURI = window.location.href;\n        }\n        if (baseURI) {\n            var url = new URL('#' + id, baseURI);\n            styleUri = url.href;\n        }\n        else {\n            styleUri = '#' + id;\n        }\n        this.sharedStyles_[styleUri] = styleMapValue;\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @return {import(\"../Feature.js\").default} Feature.\n     */\n    KML.prototype.readFeatureFromNode = function (node, opt_options) {\n        if (!includes(NAMESPACE_URIS, node.namespaceURI)) {\n            return null;\n        }\n        var feature = this.readPlacemark_(node, [\n            this.getReadOptions(node, opt_options),\n        ]);\n        if (feature) {\n            return feature;\n        }\n        else {\n            return null;\n        }\n    };\n    /**\n     * @protected\n     * @param {Element} node Node.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     */\n    KML.prototype.readFeaturesFromNode = function (node, opt_options) {\n        if (!includes(NAMESPACE_URIS, node.namespaceURI)) {\n            return [];\n        }\n        var features;\n        var localName = node.localName;\n        if (localName == 'Document' || localName == 'Folder') {\n            features = this.readDocumentOrFolder_(node, [\n                this.getReadOptions(node, opt_options),\n            ]);\n            if (features) {\n                return features;\n            }\n            else {\n                return [];\n            }\n        }\n        else if (localName == 'Placemark') {\n            var feature = this.readPlacemark_(node, [\n                this.getReadOptions(node, opt_options),\n            ]);\n            if (feature) {\n                return [feature];\n            }\n            else {\n                return [];\n            }\n        }\n        else if (localName == 'kml') {\n            features = [];\n            for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n                var fs = this.readFeaturesFromNode(n, opt_options);\n                if (fs) {\n                    extend(features, fs);\n                }\n            }\n            return features;\n        }\n        else {\n            return [];\n        }\n    };\n    /**\n     * Read the name of the KML.\n     *\n     * @param {Document|Element|string} source Source.\n     * @return {string|undefined} Name.\n     * @api\n     */\n    KML.prototype.readName = function (source) {\n        if (!source) {\n            return undefined;\n        }\n        else if (typeof source === 'string') {\n            var doc = parse(source);\n            return this.readNameFromDocument(doc);\n        }\n        else if (isDocument(source)) {\n            return this.readNameFromDocument(/** @type {Document} */ (source));\n        }\n        else {\n            return this.readNameFromNode(/** @type {Element} */ (source));\n        }\n    };\n    /**\n     * @param {Document} doc Document.\n     * @return {string|undefined} Name.\n     */\n    KML.prototype.readNameFromDocument = function (doc) {\n        for (var n = /** @type {Node} */ (doc.firstChild); n; n = n.nextSibling) {\n            if (n.nodeType == Node.ELEMENT_NODE) {\n                var name_1 = this.readNameFromNode(/** @type {Element} */ (n));\n                if (name_1) {\n                    return name_1;\n                }\n            }\n        }\n        return undefined;\n    };\n    /**\n     * @param {Element} node Node.\n     * @return {string|undefined} Name.\n     */\n    KML.prototype.readNameFromNode = function (node) {\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            if (includes(NAMESPACE_URIS, n.namespaceURI) && n.localName == 'name') {\n                return readString(n);\n            }\n        }\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            var localName = n.localName;\n            if (includes(NAMESPACE_URIS, n.namespaceURI) &&\n                (localName == 'Document' ||\n                    localName == 'Folder' ||\n                    localName == 'Placemark' ||\n                    localName == 'kml')) {\n                var name_2 = this.readNameFromNode(n);\n                if (name_2) {\n                    return name_2;\n                }\n            }\n        }\n        return undefined;\n    };\n    /**\n     * Read the network links of the KML.\n     *\n     * @param {Document|Element|string} source Source.\n     * @return {Array<Object>} Network links.\n     * @api\n     */\n    KML.prototype.readNetworkLinks = function (source) {\n        var networkLinks = [];\n        if (typeof source === 'string') {\n            var doc = parse(source);\n            extend(networkLinks, this.readNetworkLinksFromDocument(doc));\n        }\n        else if (isDocument(source)) {\n            extend(networkLinks, this.readNetworkLinksFromDocument(/** @type {Document} */ (source)));\n        }\n        else {\n            extend(networkLinks, this.readNetworkLinksFromNode(/** @type {Element} */ (source)));\n        }\n        return networkLinks;\n    };\n    /**\n     * @param {Document} doc Document.\n     * @return {Array<Object>} Network links.\n     */\n    KML.prototype.readNetworkLinksFromDocument = function (doc) {\n        var networkLinks = [];\n        for (var n = /** @type {Node} */ (doc.firstChild); n; n = n.nextSibling) {\n            if (n.nodeType == Node.ELEMENT_NODE) {\n                extend(networkLinks, this.readNetworkLinksFromNode(/** @type {Element} */ (n)));\n            }\n        }\n        return networkLinks;\n    };\n    /**\n     * @param {Element} node Node.\n     * @return {Array<Object>} Network links.\n     */\n    KML.prototype.readNetworkLinksFromNode = function (node) {\n        var networkLinks = [];\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            if (includes(NAMESPACE_URIS, n.namespaceURI) &&\n                n.localName == 'NetworkLink') {\n                var obj = pushParseAndPop({}, NETWORK_LINK_PARSERS, n, []);\n                networkLinks.push(obj);\n            }\n        }\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            var localName = n.localName;\n            if (includes(NAMESPACE_URIS, n.namespaceURI) &&\n                (localName == 'Document' || localName == 'Folder' || localName == 'kml')) {\n                extend(networkLinks, this.readNetworkLinksFromNode(n));\n            }\n        }\n        return networkLinks;\n    };\n    /**\n     * Read the regions of the KML.\n     *\n     * @param {Document|Element|string} source Source.\n     * @return {Array<Object>} Regions.\n     * @api\n     */\n    KML.prototype.readRegion = function (source) {\n        var regions = [];\n        if (typeof source === 'string') {\n            var doc = parse(source);\n            extend(regions, this.readRegionFromDocument(doc));\n        }\n        else if (isDocument(source)) {\n            extend(regions, this.readRegionFromDocument(/** @type {Document} */ (source)));\n        }\n        else {\n            extend(regions, this.readRegionFromNode(/** @type {Element} */ (source)));\n        }\n        return regions;\n    };\n    /**\n     * @param {Document} doc Document.\n     * @return {Array<Object>} Region.\n     */\n    KML.prototype.readRegionFromDocument = function (doc) {\n        var regions = [];\n        for (var n = /** @type {Node} */ (doc.firstChild); n; n = n.nextSibling) {\n            if (n.nodeType == Node.ELEMENT_NODE) {\n                extend(regions, this.readRegionFromNode(/** @type {Element} */ (n)));\n            }\n        }\n        return regions;\n    };\n    /**\n     * @param {Element} node Node.\n     * @return {Array<Object>} Region.\n     * @api\n     */\n    KML.prototype.readRegionFromNode = function (node) {\n        var regions = [];\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            if (includes(NAMESPACE_URIS, n.namespaceURI) && n.localName == 'Region') {\n                var obj = pushParseAndPop({}, REGION_PARSERS, n, []);\n                regions.push(obj);\n            }\n        }\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            var localName = n.localName;\n            if (includes(NAMESPACE_URIS, n.namespaceURI) &&\n                (localName == 'Document' || localName == 'Folder' || localName == 'kml')) {\n                extend(regions, this.readRegionFromNode(n));\n            }\n        }\n        return regions;\n    };\n    /**\n     * Encode an array of features in the KML format as an XML node. GeometryCollections,\n     * MultiPoints, MultiLineStrings, and MultiPolygons are output as MultiGeometries.\n     *\n     * @param {Array<Feature>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Options.\n     * @return {Node} Node.\n     * @api\n     */\n    KML.prototype.writeFeaturesNode = function (features, opt_options) {\n        opt_options = this.adaptOptions(opt_options);\n        var kml = createElementNS(NAMESPACE_URIS[4], 'kml');\n        var xmlnsUri = 'http://www.w3.org/2000/xmlns/';\n        kml.setAttributeNS(xmlnsUri, 'xmlns:gx', GX_NAMESPACE_URIS[0]);\n        kml.setAttributeNS(xmlnsUri, 'xmlns:xsi', XML_SCHEMA_INSTANCE_URI);\n        kml.setAttributeNS(XML_SCHEMA_INSTANCE_URI, 'xsi:schemaLocation', SCHEMA_LOCATION);\n        var /** @type {import(\"../xml.js\").NodeStackItem} */ context = {\n            node: kml,\n        };\n        /** @type {!Object<string, (Array<Feature>|Feature|undefined)>} */\n        var properties = {};\n        if (features.length > 1) {\n            properties['Document'] = features;\n        }\n        else if (features.length == 1) {\n            properties['Placemark'] = features[0];\n        }\n        var orderedKeys = KML_SEQUENCE[kml.namespaceURI];\n        var values = makeSequence(properties, orderedKeys);\n        pushSerializeAndPop(context, KML_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, [opt_options], orderedKeys, this);\n        return kml;\n    };\n    return KML;\n}(XMLFeature));\n/**\n * @param {Style|undefined} foundStyle Style.\n * @param {string} name Name.\n * @return {Style} style Style.\n */\nfunction createNameStyleFunction(foundStyle, name) {\n    var textOffset = [0, 0];\n    var textAlign = 'start';\n    var imageStyle = foundStyle.getImage();\n    if (imageStyle) {\n        var imageSize = imageStyle.getSize();\n        if (imageSize && imageSize.length == 2) {\n            var imageScale = imageStyle.getScaleArray();\n            var anchor = imageStyle.getAnchor();\n            // Offset the label to be centered to the right of the icon,\n            // if there is one.\n            textOffset[0] = imageScale[0] * (imageSize[0] - anchor[0]);\n            textOffset[1] = imageScale[1] * (imageSize[1] / 2 - anchor[1]);\n            textAlign = 'left';\n        }\n    }\n    var textStyle = foundStyle.getText();\n    if (textStyle) {\n        // clone the text style, customizing it with name, alignments and offset.\n        // Note that kml does not support many text options that OpenLayers does (rotation, textBaseline).\n        textStyle = textStyle.clone();\n        textStyle.setFont(textStyle.getFont() || DEFAULT_TEXT_STYLE.getFont());\n        textStyle.setScale(textStyle.getScale() || DEFAULT_TEXT_STYLE.getScale());\n        textStyle.setFill(textStyle.getFill() || DEFAULT_TEXT_STYLE.getFill());\n        textStyle.setStroke(textStyle.getStroke() || DEFAULT_TEXT_STROKE_STYLE);\n    }\n    else {\n        textStyle = DEFAULT_TEXT_STYLE.clone();\n    }\n    textStyle.setText(name);\n    textStyle.setOffsetX(textOffset[0]);\n    textStyle.setOffsetY(textOffset[1]);\n    textStyle.setTextAlign(textAlign);\n    var nameStyle = new Style({\n        image: imageStyle,\n        text: textStyle,\n    });\n    return nameStyle;\n}\n/**\n * @param {Array<Style>|undefined} style Style.\n * @param {string} styleUrl Style URL.\n * @param {Array<Style>} defaultStyle Default style.\n * @param {!Object<string, (Array<Style>|string)>} sharedStyles Shared styles.\n * @param {boolean|undefined} showPointNames true to show names for point placemarks.\n * @return {import(\"../style/Style.js\").StyleFunction} Feature style function.\n */\nfunction createFeatureStyleFunction(style, styleUrl, defaultStyle, sharedStyles, showPointNames) {\n    return (\n    /**\n     * @param {Feature} feature feature.\n     * @param {number} resolution Resolution.\n     * @return {Array<Style>|Style} Style.\n     */\n    function (feature, resolution) {\n        var drawName = showPointNames;\n        var name = '';\n        var multiGeometryPoints = [];\n        if (drawName) {\n            var geometry = feature.getGeometry();\n            if (geometry) {\n                var type = geometry.getType();\n                if (type === GeometryType.GEOMETRY_COLLECTION) {\n                    multiGeometryPoints = geometry\n                        .getGeometriesArrayRecursive()\n                        .filter(function (geometry) {\n                        var type = geometry.getType();\n                        return (type === GeometryType.POINT ||\n                            type === GeometryType.MULTI_POINT);\n                    });\n                    drawName = multiGeometryPoints.length > 0;\n                }\n                else {\n                    drawName =\n                        type === GeometryType.POINT || type === GeometryType.MULTI_POINT;\n                }\n            }\n        }\n        if (drawName) {\n            name = /** @type {string} */ (feature.get('name'));\n            drawName = drawName && !!name;\n            // convert any html character codes\n            if (drawName && name.search(/&[^&]+;/) > -1) {\n                if (!TEXTAREA) {\n                    TEXTAREA = document.createElement('textarea');\n                }\n                TEXTAREA.innerHTML = name;\n                name = TEXTAREA.value;\n            }\n        }\n        var featureStyle = defaultStyle;\n        if (style) {\n            featureStyle = style;\n        }\n        else if (styleUrl) {\n            featureStyle = findStyle(styleUrl, defaultStyle, sharedStyles);\n        }\n        if (drawName) {\n            var nameStyle = createNameStyleFunction(featureStyle[0], name);\n            if (multiGeometryPoints.length > 0) {\n                // in multigeometries restrict the name style to points and create a\n                // style without image or text for geometries requiring fill or stroke\n                // including any polygon specific style if there is one\n                nameStyle.setGeometry(new GeometryCollection(multiGeometryPoints));\n                var baseStyle = new Style({\n                    geometry: featureStyle[0].getGeometry(),\n                    image: null,\n                    fill: featureStyle[0].getFill(),\n                    stroke: featureStyle[0].getStroke(),\n                    text: null,\n                });\n                return [nameStyle, baseStyle].concat(featureStyle.slice(1));\n            }\n            return nameStyle;\n        }\n        return featureStyle;\n    });\n}\n/**\n * @param {Array<Style>|string|undefined} styleValue Style value.\n * @param {Array<Style>} defaultStyle Default style.\n * @param {!Object<string, (Array<Style>|string)>} sharedStyles\n * Shared styles.\n * @return {Array<Style>} Style.\n */\nfunction findStyle(styleValue, defaultStyle, sharedStyles) {\n    if (Array.isArray(styleValue)) {\n        return styleValue;\n    }\n    else if (typeof styleValue === 'string') {\n        return findStyle(sharedStyles[styleValue], defaultStyle, sharedStyles);\n    }\n    else {\n        return defaultStyle;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {import(\"../color.js\").Color|undefined} Color.\n */\nfunction readColor(node) {\n    var s = getAllTextContent(node, false);\n    // The KML specification states that colors should not include a leading `#`\n    // but we tolerate them.\n    var m = /^\\s*#?\\s*([0-9A-Fa-f]{8})\\s*$/.exec(s);\n    if (m) {\n        var hexColor = m[1];\n        return [\n            parseInt(hexColor.substr(6, 2), 16),\n            parseInt(hexColor.substr(4, 2), 16),\n            parseInt(hexColor.substr(2, 2), 16),\n            parseInt(hexColor.substr(0, 2), 16) / 255,\n        ];\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {Array<number>|undefined} Flat coordinates.\n */\nexport function readFlatCoordinates(node) {\n    var s = getAllTextContent(node, false);\n    var flatCoordinates = [];\n    // The KML specification states that coordinate tuples should not include\n    // spaces, but we tolerate them.\n    s = s.replace(/\\s*,\\s*/g, ',');\n    var re = /^\\s*([+\\-]?\\d*\\.?\\d+(?:e[+\\-]?\\d+)?),([+\\-]?\\d*\\.?\\d+(?:e[+\\-]?\\d+)?)(?:\\s+|,|$)(?:([+\\-]?\\d*\\.?\\d+(?:e[+\\-]?\\d+)?)(?:\\s+|$))?\\s*/i;\n    var m;\n    while ((m = re.exec(s))) {\n        var x = parseFloat(m[1]);\n        var y = parseFloat(m[2]);\n        var z = m[3] ? parseFloat(m[3]) : 0;\n        flatCoordinates.push(x, y, z);\n        s = s.substr(m[0].length);\n    }\n    if (s !== '') {\n        return undefined;\n    }\n    return flatCoordinates;\n}\n/**\n * @param {Node} node Node.\n * @return {string} URI.\n */\nfunction readURI(node) {\n    var s = getAllTextContent(node, false).trim();\n    var baseURI = node.baseURI;\n    if (!baseURI || baseURI == 'about:blank') {\n        baseURI = window.location.href;\n    }\n    if (baseURI) {\n        var url = new URL(s, baseURI);\n        return url.href;\n    }\n    else {\n        return s;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {string} URI.\n */\nfunction readStyleURL(node) {\n    // KML files in the wild occasionally forget the leading\n    // `#` on styleUrlsdefined in the same document.\n    var s = getAllTextContent(node, false)\n        .trim()\n        .replace(/^(?!.*#)/, '#');\n    var baseURI = node.baseURI;\n    if (!baseURI || baseURI == 'about:blank') {\n        baseURI = window.location.href;\n    }\n    if (baseURI) {\n        var url = new URL(s, baseURI);\n        return url.href;\n    }\n    else {\n        return s;\n    }\n}\n/**\n * @param {Element} node Node.\n * @return {Vec2} Vec2.\n */\nfunction readVec2(node) {\n    var xunits = node.getAttribute('xunits');\n    var yunits = node.getAttribute('yunits');\n    var origin;\n    if (xunits !== 'insetPixels') {\n        if (yunits !== 'insetPixels') {\n            origin = IconOrigin.BOTTOM_LEFT;\n        }\n        else {\n            origin = IconOrigin.TOP_LEFT;\n        }\n    }\n    else {\n        if (yunits !== 'insetPixels') {\n            origin = IconOrigin.BOTTOM_RIGHT;\n        }\n        else {\n            origin = IconOrigin.TOP_RIGHT;\n        }\n    }\n    return {\n        x: parseFloat(node.getAttribute('x')),\n        xunits: ICON_ANCHOR_UNITS_MAP[xunits],\n        y: parseFloat(node.getAttribute('y')),\n        yunits: ICON_ANCHOR_UNITS_MAP[yunits],\n        origin: origin,\n    };\n}\n/**\n * @param {Node} node Node.\n * @return {number|undefined} Scale.\n */\nfunction readScale(node) {\n    return readDecimal(node);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar STYLE_MAP_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'Pair': pairDataParser,\n});\n/**\n * @this {KML}\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Array<Style>|string|undefined} StyleMap.\n */\nfunction readStyleMapValue(node, objectStack) {\n    return pushParseAndPop(undefined, STYLE_MAP_PARSERS, node, objectStack, this);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar ICON_STYLE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'Icon': makeObjectPropertySetter(readIcon),\n    'color': makeObjectPropertySetter(readColor),\n    'heading': makeObjectPropertySetter(readDecimal),\n    'hotSpot': makeObjectPropertySetter(readVec2),\n    'scale': makeObjectPropertySetter(readScale),\n});\n/**\n * @this {KML}\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction iconStyleParser(node, objectStack) {\n    // FIXME refreshMode\n    // FIXME refreshInterval\n    // FIXME viewRefreshTime\n    // FIXME viewBoundScale\n    // FIXME viewFormat\n    // FIXME httpQuery\n    var object = pushParseAndPop({}, ICON_STYLE_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var styleObject = /** @type {Object} */ (objectStack[objectStack.length - 1]);\n    var IconObject = 'Icon' in object ? object['Icon'] : {};\n    var drawIcon = !('Icon' in object) || Object.keys(IconObject).length > 0;\n    var src;\n    var href = /** @type {string|undefined} */ (IconObject['href']);\n    if (href) {\n        src = href;\n    }\n    else if (drawIcon) {\n        src = DEFAULT_IMAGE_STYLE_SRC;\n    }\n    var anchor, anchorXUnits, anchorYUnits;\n    var anchorOrigin = IconOrigin.BOTTOM_LEFT;\n    var hotSpot = /** @type {Vec2|undefined} */ (object['hotSpot']);\n    if (hotSpot) {\n        anchor = [hotSpot.x, hotSpot.y];\n        anchorXUnits = hotSpot.xunits;\n        anchorYUnits = hotSpot.yunits;\n        anchorOrigin = hotSpot.origin;\n    }\n    else if (/^http:\\/\\/maps\\.(?:google|gstatic)\\.com\\//.test(src)) {\n        // Google hotspots from https://kml4earth.appspot.com/icons.html#notes\n        if (/pushpin/.test(src)) {\n            anchor = DEFAULT_IMAGE_STYLE_ANCHOR;\n            anchorXUnits = DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS;\n            anchorYUnits = DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS;\n        }\n        else if (/arrow-reverse/.test(src)) {\n            anchor = [54, 42];\n            anchorXUnits = DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS;\n            anchorYUnits = DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS;\n        }\n        else if (/paddle/.test(src)) {\n            anchor = [32, 1];\n            anchorXUnits = DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS;\n            anchorYUnits = DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS;\n        }\n    }\n    var offset;\n    var x = /** @type {number|undefined} */ (IconObject['x']);\n    var y = /** @type {number|undefined} */ (IconObject['y']);\n    if (x !== undefined && y !== undefined) {\n        offset = [x, y];\n    }\n    var size;\n    var w = /** @type {number|undefined} */ (IconObject['w']);\n    var h = /** @type {number|undefined} */ (IconObject['h']);\n    if (w !== undefined && h !== undefined) {\n        size = [w, h];\n    }\n    var rotation;\n    var heading = /** @type {number} */ (object['heading']);\n    if (heading !== undefined) {\n        rotation = toRadians(heading);\n    }\n    var scale = /** @type {number|undefined} */ (object['scale']);\n    var color = /** @type {Array<number>|undefined} */ (object['color']);\n    if (drawIcon) {\n        if (src == DEFAULT_IMAGE_STYLE_SRC) {\n            size = DEFAULT_IMAGE_STYLE_SIZE;\n        }\n        var imageStyle_1 = new Icon({\n            anchor: anchor,\n            anchorOrigin: anchorOrigin,\n            anchorXUnits: anchorXUnits,\n            anchorYUnits: anchorYUnits,\n            crossOrigin: this.crossOrigin_,\n            offset: offset,\n            offsetOrigin: IconOrigin.BOTTOM_LEFT,\n            rotation: rotation,\n            scale: scale,\n            size: size,\n            src: this.iconUrlFunction_(src),\n            color: color,\n        });\n        var imageScale_1 = imageStyle_1.getScaleArray()[0];\n        var imageSize = imageStyle_1.getSize();\n        if (imageSize === null) {\n            var imageState = imageStyle_1.getImageState();\n            if (imageState === ImageState.IDLE || imageState === ImageState.LOADING) {\n                var listener_1 = function () {\n                    var imageState = imageStyle_1.getImageState();\n                    if (!(imageState === ImageState.IDLE ||\n                        imageState === ImageState.LOADING)) {\n                        var imageSize_1 = imageStyle_1.getSize();\n                        if (imageSize_1 && imageSize_1.length == 2) {\n                            var resizeScale = scaleForSize(imageSize_1);\n                            imageStyle_1.setScale(imageScale_1 * resizeScale);\n                        }\n                        imageStyle_1.unlistenImageChange(listener_1);\n                    }\n                };\n                imageStyle_1.listenImageChange(listener_1);\n                if (imageState === ImageState.IDLE) {\n                    imageStyle_1.load();\n                }\n            }\n        }\n        else if (imageSize.length == 2) {\n            var resizeScale = scaleForSize(imageSize);\n            imageStyle_1.setScale(imageScale_1 * resizeScale);\n        }\n        styleObject['imageStyle'] = imageStyle_1;\n    }\n    else {\n        // handle the case when we explicitly want to draw no icon.\n        styleObject['imageStyle'] = DEFAULT_NO_IMAGE_STYLE;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar LABEL_STYLE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeObjectPropertySetter(readColor),\n    'scale': makeObjectPropertySetter(readScale),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction labelStyleParser(node, objectStack) {\n    // FIXME colorMode\n    var object = pushParseAndPop({}, LABEL_STYLE_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var styleObject = objectStack[objectStack.length - 1];\n    var textStyle = new Text({\n        fill: new Fill({\n            color: \n            /** @type {import(\"../color.js\").Color} */\n            ('color' in object ? object['color'] : DEFAULT_COLOR),\n        }),\n        scale: /** @type {number|undefined} */ (object['scale']),\n    });\n    styleObject['textStyle'] = textStyle;\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar LINE_STYLE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeObjectPropertySetter(readColor),\n    'width': makeObjectPropertySetter(readDecimal),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction lineStyleParser(node, objectStack) {\n    // FIXME colorMode\n    // FIXME gx:outerColor\n    // FIXME gx:outerWidth\n    // FIXME gx:physicalWidth\n    // FIXME gx:labelVisibility\n    var object = pushParseAndPop({}, LINE_STYLE_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var styleObject = objectStack[objectStack.length - 1];\n    var strokeStyle = new Stroke({\n        color: \n        /** @type {import(\"../color.js\").Color} */\n        ('color' in object ? object['color'] : DEFAULT_COLOR),\n        width: /** @type {number} */ ('width' in object ? object['width'] : 1),\n    });\n    styleObject['strokeStyle'] = strokeStyle;\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar POLY_STYLE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeObjectPropertySetter(readColor),\n    'fill': makeObjectPropertySetter(readBoolean),\n    'outline': makeObjectPropertySetter(readBoolean),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction polyStyleParser(node, objectStack) {\n    // FIXME colorMode\n    var object = pushParseAndPop({}, POLY_STYLE_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var styleObject = objectStack[objectStack.length - 1];\n    var fillStyle = new Fill({\n        color: \n        /** @type {import(\"../color.js\").Color} */\n        ('color' in object ? object['color'] : DEFAULT_COLOR),\n    });\n    styleObject['fillStyle'] = fillStyle;\n    var fill = /** @type {boolean|undefined} */ (object['fill']);\n    if (fill !== undefined) {\n        styleObject['fill'] = fill;\n    }\n    var outline = /** @type {boolean|undefined} */ (object['outline']);\n    if (outline !== undefined) {\n        styleObject['outline'] = outline;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar FLAT_LINEAR_RING_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'coordinates': makeReplacer(readFlatCoordinates),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Array<number>} LinearRing flat coordinates.\n */\nfunction readFlatLinearRing(node, objectStack) {\n    return pushParseAndPop(null, FLAT_LINEAR_RING_PARSERS, node, objectStack);\n}\n/**\n * @param {Node} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction gxCoordParser(node, objectStack) {\n    var gxTrackObject = \n    /** @type {GxTrackObject} */\n    (objectStack[objectStack.length - 1]);\n    var coordinates = gxTrackObject.coordinates;\n    var s = getAllTextContent(node, false);\n    var re = /^\\s*([+\\-]?\\d+(?:\\.\\d*)?(?:e[+\\-]?\\d*)?)\\s+([+\\-]?\\d+(?:\\.\\d*)?(?:e[+\\-]?\\d*)?)\\s+([+\\-]?\\d+(?:\\.\\d*)?(?:e[+\\-]?\\d*)?)\\s*$/i;\n    var m = re.exec(s);\n    if (m) {\n        var x = parseFloat(m[1]);\n        var y = parseFloat(m[2]);\n        var z = parseFloat(m[3]);\n        coordinates.push([x, y, z]);\n    }\n    else {\n        coordinates.push([]);\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar GX_MULTITRACK_GEOMETRY_PARSERS = makeStructureNS(GX_NAMESPACE_URIS, {\n    'Track': makeArrayPusher(readGxTrack),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {MultiLineString|undefined} MultiLineString.\n */\nfunction readGxMultiTrack(node, objectStack) {\n    var lineStrings = pushParseAndPop([], GX_MULTITRACK_GEOMETRY_PARSERS, node, objectStack);\n    if (!lineStrings) {\n        return undefined;\n    }\n    return new MultiLineString(lineStrings);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar GX_TRACK_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'when': whenParser,\n}, makeStructureNS(GX_NAMESPACE_URIS, {\n    'coord': gxCoordParser,\n}));\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {LineString|undefined} LineString.\n */\nfunction readGxTrack(node, objectStack) {\n    var gxTrackObject = pushParseAndPop(\n    /** @type {GxTrackObject} */ ({\n        coordinates: [],\n        whens: [],\n    }), GX_TRACK_PARSERS, node, objectStack);\n    if (!gxTrackObject) {\n        return undefined;\n    }\n    var flatCoordinates = [];\n    var coordinates = gxTrackObject.coordinates;\n    var whens = gxTrackObject.whens;\n    for (var i = 0, ii = Math.min(coordinates.length, whens.length); i < ii; ++i) {\n        if (coordinates[i].length == 3) {\n            flatCoordinates.push(coordinates[i][0], coordinates[i][1], coordinates[i][2], whens[i]);\n        }\n    }\n    return new LineString(flatCoordinates, GeometryLayout.XYZM);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar ICON_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'href': makeObjectPropertySetter(readURI),\n}, makeStructureNS(GX_NAMESPACE_URIS, {\n    'x': makeObjectPropertySetter(readDecimal),\n    'y': makeObjectPropertySetter(readDecimal),\n    'w': makeObjectPropertySetter(readDecimal),\n    'h': makeObjectPropertySetter(readDecimal),\n}));\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Object} Icon object.\n */\nfunction readIcon(node, objectStack) {\n    var iconObject = pushParseAndPop({}, ICON_PARSERS, node, objectStack);\n    if (iconObject) {\n        return iconObject;\n    }\n    else {\n        return null;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar GEOMETRY_FLAT_COORDINATES_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'coordinates': makeReplacer(readFlatCoordinates),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Array<number>} Flat coordinates.\n */\nfunction readFlatCoordinatesFromNode(node, objectStack) {\n    return pushParseAndPop(null, GEOMETRY_FLAT_COORDINATES_PARSERS, node, objectStack);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar EXTRUDE_AND_ALTITUDE_MODE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'extrude': makeObjectPropertySetter(readBoolean),\n    'tessellate': makeObjectPropertySetter(readBoolean),\n    'altitudeMode': makeObjectPropertySetter(readString),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {LineString|undefined} LineString.\n */\nfunction readLineString(node, objectStack) {\n    var properties = pushParseAndPop({}, EXTRUDE_AND_ALTITUDE_MODE_PARSERS, node, objectStack);\n    var flatCoordinates = readFlatCoordinatesFromNode(node, objectStack);\n    if (flatCoordinates) {\n        var lineString = new LineString(flatCoordinates, GeometryLayout.XYZ);\n        lineString.setProperties(properties, true);\n        return lineString;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Polygon|undefined} Polygon.\n */\nfunction readLinearRing(node, objectStack) {\n    var properties = pushParseAndPop({}, EXTRUDE_AND_ALTITUDE_MODE_PARSERS, node, objectStack);\n    var flatCoordinates = readFlatCoordinatesFromNode(node, objectStack);\n    if (flatCoordinates) {\n        var polygon = new Polygon(flatCoordinates, GeometryLayout.XYZ, [\n            flatCoordinates.length,\n        ]);\n        polygon.setProperties(properties, true);\n        return polygon;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar MULTI_GEOMETRY_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'LineString': makeArrayPusher(readLineString),\n    'LinearRing': makeArrayPusher(readLinearRing),\n    'MultiGeometry': makeArrayPusher(readMultiGeometry),\n    'Point': makeArrayPusher(readPoint),\n    'Polygon': makeArrayPusher(readPolygon),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {import(\"../geom/Geometry.js\").default} Geometry.\n */\nfunction readMultiGeometry(node, objectStack) {\n    var geometries = pushParseAndPop([], MULTI_GEOMETRY_PARSERS, node, objectStack);\n    if (!geometries) {\n        return null;\n    }\n    if (geometries.length === 0) {\n        return new GeometryCollection(geometries);\n    }\n    var multiGeometry;\n    var homogeneous = true;\n    var type = geometries[0].getType();\n    var geometry;\n    for (var i = 1, ii = geometries.length; i < ii; ++i) {\n        geometry = geometries[i];\n        if (geometry.getType() != type) {\n            homogeneous = false;\n            break;\n        }\n    }\n    if (homogeneous) {\n        var layout = void 0;\n        var flatCoordinates = void 0;\n        if (type == GeometryType.POINT) {\n            var point = geometries[0];\n            layout = point.getLayout();\n            flatCoordinates = point.getFlatCoordinates();\n            for (var i = 1, ii = geometries.length; i < ii; ++i) {\n                geometry = geometries[i];\n                extend(flatCoordinates, geometry.getFlatCoordinates());\n            }\n            multiGeometry = new MultiPoint(flatCoordinates, layout);\n            setCommonGeometryProperties(multiGeometry, geometries);\n        }\n        else if (type == GeometryType.LINE_STRING) {\n            multiGeometry = new MultiLineString(geometries);\n            setCommonGeometryProperties(multiGeometry, geometries);\n        }\n        else if (type == GeometryType.POLYGON) {\n            multiGeometry = new MultiPolygon(geometries);\n            setCommonGeometryProperties(multiGeometry, geometries);\n        }\n        else if (type == GeometryType.GEOMETRY_COLLECTION) {\n            multiGeometry = new GeometryCollection(geometries);\n        }\n        else {\n            assert(false, 37); // Unknown geometry type found\n        }\n    }\n    else {\n        multiGeometry = new GeometryCollection(geometries);\n    }\n    return /** @type {import(\"../geom/Geometry.js\").default} */ (multiGeometry);\n}\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Point|undefined} Point.\n */\nfunction readPoint(node, objectStack) {\n    var properties = pushParseAndPop({}, EXTRUDE_AND_ALTITUDE_MODE_PARSERS, node, objectStack);\n    var flatCoordinates = readFlatCoordinatesFromNode(node, objectStack);\n    if (flatCoordinates) {\n        var point = new Point(flatCoordinates, GeometryLayout.XYZ);\n        point.setProperties(properties, true);\n        return point;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar FLAT_LINEAR_RINGS_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'innerBoundaryIs': innerBoundaryIsParser,\n    'outerBoundaryIs': outerBoundaryIsParser,\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Polygon|undefined} Polygon.\n */\nfunction readPolygon(node, objectStack) {\n    var properties = pushParseAndPop(\n    /** @type {Object<string,*>} */ ({}), EXTRUDE_AND_ALTITUDE_MODE_PARSERS, node, objectStack);\n    var flatLinearRings = pushParseAndPop([null], FLAT_LINEAR_RINGS_PARSERS, node, objectStack);\n    if (flatLinearRings && flatLinearRings[0]) {\n        var flatCoordinates = flatLinearRings[0];\n        var ends = [flatCoordinates.length];\n        for (var i = 1, ii = flatLinearRings.length; i < ii; ++i) {\n            extend(flatCoordinates, flatLinearRings[i]);\n            ends.push(flatCoordinates.length);\n        }\n        var polygon = new Polygon(flatCoordinates, GeometryLayout.XYZ, ends);\n        polygon.setProperties(properties, true);\n        return polygon;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar STYLE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'IconStyle': iconStyleParser,\n    'LabelStyle': labelStyleParser,\n    'LineStyle': lineStyleParser,\n    'PolyStyle': polyStyleParser,\n});\n/**\n * @this {KML}\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Array<Style>} Style.\n */\nfunction readStyle(node, objectStack) {\n    var styleObject = pushParseAndPop({}, STYLE_PARSERS, node, objectStack, this);\n    if (!styleObject) {\n        return null;\n    }\n    var fillStyle = \n    /** @type {Fill} */\n    ('fillStyle' in styleObject ? styleObject['fillStyle'] : DEFAULT_FILL_STYLE);\n    var fill = /** @type {boolean|undefined} */ (styleObject['fill']);\n    if (fill !== undefined && !fill) {\n        fillStyle = null;\n    }\n    var imageStyle;\n    if ('imageStyle' in styleObject) {\n        if (styleObject['imageStyle'] != DEFAULT_NO_IMAGE_STYLE) {\n            imageStyle = styleObject['imageStyle'];\n        }\n    }\n    else {\n        imageStyle = DEFAULT_IMAGE_STYLE;\n    }\n    var textStyle = \n    /** @type {Text} */\n    ('textStyle' in styleObject ? styleObject['textStyle'] : DEFAULT_TEXT_STYLE);\n    var strokeStyle = \n    /** @type {Stroke} */\n    ('strokeStyle' in styleObject\n        ? styleObject['strokeStyle']\n        : DEFAULT_STROKE_STYLE);\n    var outline = /** @type {boolean|undefined} */ (styleObject['outline']);\n    if (outline !== undefined && !outline) {\n        // if the polystyle specifies no outline two styles are needed,\n        // one for non-polygon geometries where linestrings require a stroke\n        // and one for polygons where there should be no stroke\n        return [\n            new Style({\n                geometry: function (feature) {\n                    var geometry = feature.getGeometry();\n                    var type = geometry.getType();\n                    if (type === GeometryType.GEOMETRY_COLLECTION) {\n                        var collection = \n                        /** @type {import(\"../geom/GeometryCollection\").default} */ (geometry);\n                        return new GeometryCollection(collection\n                            .getGeometriesArrayRecursive()\n                            .filter(function (geometry) {\n                            var type = geometry.getType();\n                            return (type !== GeometryType.POLYGON &&\n                                type !== GeometryType.MULTI_POLYGON);\n                        }));\n                    }\n                    else if (type !== GeometryType.POLYGON &&\n                        type !== GeometryType.MULTI_POLYGON) {\n                        return geometry;\n                    }\n                },\n                fill: fillStyle,\n                image: imageStyle,\n                stroke: strokeStyle,\n                text: textStyle,\n                zIndex: undefined, // FIXME\n            }),\n            new Style({\n                geometry: function (feature) {\n                    var geometry = feature.getGeometry();\n                    var type = geometry.getType();\n                    if (type === GeometryType.GEOMETRY_COLLECTION) {\n                        var collection = \n                        /** @type {import(\"../geom/GeometryCollection\").default} */ (geometry);\n                        return new GeometryCollection(collection\n                            .getGeometriesArrayRecursive()\n                            .filter(function (geometry) {\n                            var type = geometry.getType();\n                            return (type === GeometryType.POLYGON ||\n                                type === GeometryType.MULTI_POLYGON);\n                        }));\n                    }\n                    else if (type === GeometryType.POLYGON ||\n                        type === GeometryType.MULTI_POLYGON) {\n                        return geometry;\n                    }\n                },\n                fill: fillStyle,\n                stroke: null,\n                zIndex: undefined, // FIXME\n            }),\n        ];\n    }\n    return [\n        new Style({\n            fill: fillStyle,\n            image: imageStyle,\n            stroke: strokeStyle,\n            text: textStyle,\n            zIndex: undefined, // FIXME\n        }),\n    ];\n}\n/**\n * Reads an array of geometries and creates arrays for common geometry\n * properties. Then sets them to the multi geometry.\n * @param {MultiPoint|MultiLineString|MultiPolygon} multiGeometry A multi-geometry.\n * @param {Array<import(\"../geom/Geometry.js\").default>} geometries List of geometries.\n */\nfunction setCommonGeometryProperties(multiGeometry, geometries) {\n    var ii = geometries.length;\n    var extrudes = new Array(geometries.length);\n    var tessellates = new Array(geometries.length);\n    var altitudeModes = new Array(geometries.length);\n    var hasExtrude, hasTessellate, hasAltitudeMode;\n    hasExtrude = false;\n    hasTessellate = false;\n    hasAltitudeMode = false;\n    for (var i = 0; i < ii; ++i) {\n        var geometry = geometries[i];\n        extrudes[i] = geometry.get('extrude');\n        tessellates[i] = geometry.get('tessellate');\n        altitudeModes[i] = geometry.get('altitudeMode');\n        hasExtrude = hasExtrude || extrudes[i] !== undefined;\n        hasTessellate = hasTessellate || tessellates[i] !== undefined;\n        hasAltitudeMode = hasAltitudeMode || altitudeModes[i];\n    }\n    if (hasExtrude) {\n        multiGeometry.set('extrude', extrudes);\n    }\n    if (hasTessellate) {\n        multiGeometry.set('tessellate', tessellates);\n    }\n    if (hasAltitudeMode) {\n        multiGeometry.set('altitudeMode', altitudeModes);\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar DATA_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'displayName': makeObjectPropertySetter(readString),\n    'value': makeObjectPropertySetter(readString),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction dataParser(node, objectStack) {\n    var name = node.getAttribute('name');\n    parseNode(DATA_PARSERS, node, objectStack);\n    var featureObject = /** @type {Object} */ (objectStack[objectStack.length - 1]);\n    if (name && featureObject.displayName) {\n        featureObject[name] = {\n            value: featureObject.value,\n            displayName: featureObject.displayName,\n            toString: function () {\n                return featureObject.value;\n            },\n        };\n    }\n    else if (name !== null) {\n        featureObject[name] = featureObject.value;\n    }\n    else if (featureObject.displayName !== null) {\n        featureObject[featureObject.displayName] = featureObject.value;\n    }\n    delete featureObject['value'];\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar EXTENDED_DATA_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'Data': dataParser,\n    'SchemaData': schemaDataParser,\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction extendedDataParser(node, objectStack) {\n    parseNode(EXTENDED_DATA_PARSERS, node, objectStack);\n}\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction regionParser(node, objectStack) {\n    parseNode(REGION_PARSERS, node, objectStack);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar PAIR_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'Style': makeObjectPropertySetter(readStyle),\n    'key': makeObjectPropertySetter(readString),\n    'styleUrl': makeObjectPropertySetter(readStyleURL),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction pairDataParser(node, objectStack) {\n    var pairObject = pushParseAndPop({}, PAIR_PARSERS, node, objectStack, this);\n    if (!pairObject) {\n        return;\n    }\n    var key = /** @type {string|undefined} */ (pairObject['key']);\n    if (key && key == 'normal') {\n        var styleUrl = /** @type {string|undefined} */ (pairObject['styleUrl']);\n        if (styleUrl) {\n            objectStack[objectStack.length - 1] = styleUrl;\n        }\n        var style = /** @type {Style} */ (pairObject['Style']);\n        if (style) {\n            objectStack[objectStack.length - 1] = style;\n        }\n    }\n}\n/**\n * @this {KML}\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction placemarkStyleMapParser(node, objectStack) {\n    var styleMapValue = readStyleMapValue.call(this, node, objectStack);\n    if (!styleMapValue) {\n        return;\n    }\n    var placemarkObject = objectStack[objectStack.length - 1];\n    if (Array.isArray(styleMapValue)) {\n        placemarkObject['Style'] = styleMapValue;\n    }\n    else if (typeof styleMapValue === 'string') {\n        placemarkObject['styleUrl'] = styleMapValue;\n    }\n    else {\n        assert(false, 38); // `styleMapValue` has an unknown type\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar SCHEMA_DATA_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'SimpleData': simpleDataParser,\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction schemaDataParser(node, objectStack) {\n    parseNode(SCHEMA_DATA_PARSERS, node, objectStack);\n}\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction simpleDataParser(node, objectStack) {\n    var name = node.getAttribute('name');\n    if (name !== null) {\n        var data = readString(node);\n        var featureObject = /** @type {Object} */ (objectStack[objectStack.length - 1]);\n        featureObject[name] = data;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar LAT_LON_ALT_BOX_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'altitudeMode': makeObjectPropertySetter(readString),\n    'minAltitude': makeObjectPropertySetter(readDecimal),\n    'maxAltitude': makeObjectPropertySetter(readDecimal),\n    'north': makeObjectPropertySetter(readDecimal),\n    'south': makeObjectPropertySetter(readDecimal),\n    'east': makeObjectPropertySetter(readDecimal),\n    'west': makeObjectPropertySetter(readDecimal),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction latLonAltBoxParser(node, objectStack) {\n    var object = pushParseAndPop({}, LAT_LON_ALT_BOX_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var regionObject = /** @type {Object} */ (objectStack[objectStack.length - 1]);\n    var extent = [\n        parseFloat(object['west']),\n        parseFloat(object['south']),\n        parseFloat(object['east']),\n        parseFloat(object['north']),\n    ];\n    regionObject['extent'] = extent;\n    regionObject['altitudeMode'] = object['altitudeMode'];\n    regionObject['minAltitude'] = parseFloat(object['minAltitude']);\n    regionObject['maxAltitude'] = parseFloat(object['maxAltitude']);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar LOD_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'minLodPixels': makeObjectPropertySetter(readDecimal),\n    'maxLodPixels': makeObjectPropertySetter(readDecimal),\n    'minFadeExtent': makeObjectPropertySetter(readDecimal),\n    'maxFadeExtent': makeObjectPropertySetter(readDecimal),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction lodParser(node, objectStack) {\n    var object = pushParseAndPop({}, LOD_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var lodObject = /** @type {Object} */ (objectStack[objectStack.length - 1]);\n    lodObject['minLodPixels'] = parseFloat(object['minLodPixels']);\n    lodObject['maxLodPixels'] = parseFloat(object['maxLodPixels']);\n    lodObject['minFadeExtent'] = parseFloat(object['minFadeExtent']);\n    lodObject['maxFadeExtent'] = parseFloat(object['maxFadeExtent']);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar INNER_BOUNDARY_IS_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    // KML spec only allows one LinearRing  per innerBoundaryIs, but Google Earth\n    // allows multiple, so we parse multiple here too.\n    'LinearRing': makeArrayPusher(readFlatLinearRing),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction innerBoundaryIsParser(node, objectStack) {\n    var innerBoundaryFlatLinearRings = pushParseAndPop(\n    /** @type {Array<Array<number>>} */ ([]), INNER_BOUNDARY_IS_PARSERS, node, objectStack);\n    if (innerBoundaryFlatLinearRings.length > 0) {\n        var flatLinearRings = \n        /** @type {Array<Array<number>>} */\n        (objectStack[objectStack.length - 1]);\n        flatLinearRings.push.apply(flatLinearRings, innerBoundaryFlatLinearRings);\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar OUTER_BOUNDARY_IS_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'LinearRing': makeReplacer(readFlatLinearRing),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction outerBoundaryIsParser(node, objectStack) {\n    /** @type {Array<number>|undefined} */\n    var flatLinearRing = pushParseAndPop(undefined, OUTER_BOUNDARY_IS_PARSERS, node, objectStack);\n    if (flatLinearRing) {\n        var flatLinearRings = \n        /** @type {Array<Array<number>>} */\n        (objectStack[objectStack.length - 1]);\n        flatLinearRings[0] = flatLinearRing;\n    }\n}\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction linkParser(node, objectStack) {\n    parseNode(LINK_PARSERS, node, objectStack);\n}\n/**\n * @param {Node} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction whenParser(node, objectStack) {\n    var gxTrackObject = \n    /** @type {GxTrackObject} */\n    (objectStack[objectStack.length - 1]);\n    var whens = gxTrackObject.whens;\n    var s = getAllTextContent(node, false);\n    var when = Date.parse(s);\n    whens.push(isNaN(when) ? 0 : when);\n}\n/**\n * @param {Node} node Node to append a TextNode with the color to.\n * @param {import(\"../color.js\").Color|string} color Color.\n */\nfunction writeColorTextNode(node, color) {\n    var rgba = asArray(color);\n    var opacity = rgba.length == 4 ? rgba[3] : 1;\n    /** @type {Array<string|number>} */\n    var abgr = [opacity * 255, rgba[2], rgba[1], rgba[0]];\n    for (var i = 0; i < 4; ++i) {\n        var hex = Math.floor(/** @type {number} */ (abgr[i])).toString(16);\n        abgr[i] = hex.length == 1 ? '0' + hex : hex;\n    }\n    writeStringTextNode(node, abgr.join(''));\n}\n/**\n * @param {Node} node Node to append a TextNode with the coordinates to.\n * @param {Array<number>} coordinates Coordinates.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeCoordinatesTextNode(node, coordinates, objectStack) {\n    var context = objectStack[objectStack.length - 1];\n    var layout = context['layout'];\n    var stride = context['stride'];\n    var dimension;\n    if (layout == GeometryLayout.XY || layout == GeometryLayout.XYM) {\n        dimension = 2;\n    }\n    else if (layout == GeometryLayout.XYZ || layout == GeometryLayout.XYZM) {\n        dimension = 3;\n    }\n    else {\n        assert(false, 34); // Invalid geometry layout\n    }\n    var ii = coordinates.length;\n    var text = '';\n    if (ii > 0) {\n        text += coordinates[0];\n        for (var d = 1; d < dimension; ++d) {\n            text += ',' + coordinates[d];\n        }\n        for (var i = stride; i < ii; i += stride) {\n            text += ' ' + coordinates[i];\n            for (var d = 1; d < dimension; ++d) {\n                text += ',' + coordinates[i + d];\n            }\n        }\n    }\n    writeStringTextNode(node, text);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar EXTENDEDDATA_NODE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'Data': makeChildAppender(writeDataNode),\n    'value': makeChildAppender(writeDataNodeValue),\n    'displayName': makeChildAppender(writeDataNodeName),\n});\n/**\n * @param {Element} node Node.\n * @param {{name: *, value: *}} pair Name value pair.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeDataNode(node, pair, objectStack) {\n    node.setAttribute('name', pair.name);\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var value = pair.value;\n    if (typeof value == 'object') {\n        if (value !== null && value.displayName) {\n            pushSerializeAndPop(context, EXTENDEDDATA_NODE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, [value.displayName], objectStack, ['displayName']);\n        }\n        if (value !== null && value.value) {\n            pushSerializeAndPop(context, EXTENDEDDATA_NODE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, [value.value], objectStack, ['value']);\n        }\n    }\n    else {\n        pushSerializeAndPop(context, EXTENDEDDATA_NODE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, [value], objectStack, ['value']);\n    }\n}\n/**\n * @param {Node} node Node to append a TextNode with the name to.\n * @param {string} name DisplayName.\n */\nfunction writeDataNodeName(node, name) {\n    writeCDATASection(node, name);\n}\n/**\n * @param {Node} node Node to append a CDATA Section with the value to.\n * @param {string} value Value.\n */\nfunction writeDataNodeValue(node, value) {\n    writeStringTextNode(node, value);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar DOCUMENT_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'Placemark': makeChildAppender(writePlacemark),\n});\n/**\n * @const\n * @param {*} value Value.\n * @param {Array<*>} objectStack Object stack.\n * @param {string} [opt_nodeName] Node name.\n * @return {Node|undefined} Node.\n */\nvar DOCUMENT_NODE_FACTORY = function (value, objectStack, opt_nodeName) {\n    var parentNode = objectStack[objectStack.length - 1].node;\n    return createElementNS(parentNode.namespaceURI, 'Placemark');\n};\n/**\n * @param {Node} node Node.\n * @param {Array<Feature>} features Features.\n * @param {Array<*>} objectStack Object stack.\n * @this {KML}\n */\nfunction writeDocument(node, features, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    pushSerializeAndPop(context, DOCUMENT_SERIALIZERS, DOCUMENT_NODE_FACTORY, features, objectStack, undefined, this);\n}\n/**\n * A factory for creating Data nodes.\n * @const\n * @type {function(*, Array<*>): (Node|undefined)}\n */\nvar DATA_NODE_FACTORY = makeSimpleNodeFactory('Data');\n/**\n * @param {Node} node Node.\n * @param {{names: Array<string>, values: (Array<*>)}} namesAndValues Names and values.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeExtendedData(node, namesAndValues, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var names = namesAndValues.names;\n    var values = namesAndValues.values;\n    var length = names.length;\n    for (var i = 0; i < length; i++) {\n        pushSerializeAndPop(context, EXTENDEDDATA_NODE_SERIALIZERS, DATA_NODE_FACTORY, [{ name: names[i], value: values[i] }], objectStack);\n    }\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar ICON_SEQUENCE = makeStructureNS(NAMESPACE_URIS, ['href'], makeStructureNS(GX_NAMESPACE_URIS, ['x', 'y', 'w', 'h']));\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar ICON_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'href': makeChildAppender(writeStringTextNode),\n}, makeStructureNS(GX_NAMESPACE_URIS, {\n    'x': makeChildAppender(writeDecimalTextNode),\n    'y': makeChildAppender(writeDecimalTextNode),\n    'w': makeChildAppender(writeDecimalTextNode),\n    'h': makeChildAppender(writeDecimalTextNode),\n}));\n/**\n * @const\n * @param {*} value Value.\n * @param {Array<*>} objectStack Object stack.\n * @param {string} [opt_nodeName] Node name.\n * @return {Node|undefined} Node.\n */\nvar GX_NODE_FACTORY = function (value, objectStack, opt_nodeName) {\n    return createElementNS(GX_NAMESPACE_URIS[0], 'gx:' + opt_nodeName);\n};\n/**\n * @param {Node} node Node.\n * @param {Object} icon Icon object.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeIcon(node, icon, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = ICON_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(icon, orderedKeys);\n    pushSerializeAndPop(context, ICON_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n    orderedKeys = ICON_SEQUENCE[GX_NAMESPACE_URIS[0]];\n    values = makeSequence(icon, orderedKeys);\n    pushSerializeAndPop(context, ICON_SERIALIZERS, GX_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar ICON_STYLE_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'scale',\n    'heading',\n    'Icon',\n    'color',\n    'hotSpot',\n]);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar ICON_STYLE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'Icon': makeChildAppender(writeIcon),\n    'color': makeChildAppender(writeColorTextNode),\n    'heading': makeChildAppender(writeDecimalTextNode),\n    'hotSpot': makeChildAppender(writeVec2),\n    'scale': makeChildAppender(writeScaleTextNode),\n});\n/**\n * @param {Node} node Node.\n * @param {import(\"../style/Icon.js\").default} style Icon style.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeIconStyle(node, style, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var /** @type {Object<string, any>} */ properties = {};\n    var src = style.getSrc();\n    var size = style.getSize();\n    var iconImageSize = style.getImageSize();\n    var iconProperties = {\n        'href': src,\n    };\n    if (size) {\n        iconProperties['w'] = size[0];\n        iconProperties['h'] = size[1];\n        var anchor = style.getAnchor(); // top-left\n        var origin_1 = style.getOrigin(); // top-left\n        if (origin_1 && iconImageSize && origin_1[0] !== 0 && origin_1[1] !== size[1]) {\n            iconProperties['x'] = origin_1[0];\n            iconProperties['y'] = iconImageSize[1] - (origin_1[1] + size[1]);\n        }\n        if (anchor && (anchor[0] !== size[0] / 2 || anchor[1] !== size[1] / 2)) {\n            var /** @type {Vec2} */ hotSpot = {\n                x: anchor[0],\n                xunits: IconAnchorUnits.PIXELS,\n                y: size[1] - anchor[1],\n                yunits: IconAnchorUnits.PIXELS,\n            };\n            properties['hotSpot'] = hotSpot;\n        }\n    }\n    properties['Icon'] = iconProperties;\n    var scale = style.getScaleArray()[0];\n    var imageSize = size;\n    if (imageSize === null) {\n        imageSize = DEFAULT_IMAGE_STYLE_SIZE;\n    }\n    if (imageSize.length == 2) {\n        var resizeScale = scaleForSize(imageSize);\n        scale = scale / resizeScale;\n    }\n    if (scale !== 1) {\n        properties['scale'] = scale;\n    }\n    var rotation = style.getRotation();\n    if (rotation !== 0) {\n        properties['heading'] = rotation; // 0-360\n    }\n    var color = style.getColor();\n    if (color) {\n        properties['color'] = color;\n    }\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = ICON_STYLE_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, ICON_STYLE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar LABEL_STYLE_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'color',\n    'scale',\n]);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar LABEL_STYLE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeChildAppender(writeColorTextNode),\n    'scale': makeChildAppender(writeScaleTextNode),\n});\n/**\n * @param {Node} node Node.\n * @param {Text} style style.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeLabelStyle(node, style, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var properties = {};\n    var fill = style.getFill();\n    if (fill) {\n        properties['color'] = fill.getColor();\n    }\n    var scale = style.getScale();\n    if (scale && scale !== 1) {\n        properties['scale'] = scale;\n    }\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = LABEL_STYLE_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, LABEL_STYLE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar LINE_STYLE_SEQUENCE = makeStructureNS(NAMESPACE_URIS, ['color', 'width']);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar LINE_STYLE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeChildAppender(writeColorTextNode),\n    'width': makeChildAppender(writeDecimalTextNode),\n});\n/**\n * @param {Node} node Node.\n * @param {Stroke} style style.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeLineStyle(node, style, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var properties = {\n        'color': style.getColor(),\n        'width': Number(style.getWidth()) || 1,\n    };\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = LINE_STYLE_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, LINE_STYLE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @const\n * @type {Object<string, string>}\n */\nvar GEOMETRY_TYPE_TO_NODENAME = {\n    'Point': 'Point',\n    'LineString': 'LineString',\n    'LinearRing': 'LinearRing',\n    'Polygon': 'Polygon',\n    'MultiPoint': 'MultiGeometry',\n    'MultiLineString': 'MultiGeometry',\n    'MultiPolygon': 'MultiGeometry',\n    'GeometryCollection': 'MultiGeometry',\n};\n/**\n * @const\n * @param {*} value Value.\n * @param {Array<*>} objectStack Object stack.\n * @param {string} [opt_nodeName] Node name.\n * @return {Node|undefined} Node.\n */\nvar GEOMETRY_NODE_FACTORY = function (value, objectStack, opt_nodeName) {\n    if (value) {\n        var parentNode = objectStack[objectStack.length - 1].node;\n        return createElementNS(parentNode.namespaceURI, GEOMETRY_TYPE_TO_NODENAME[\n        /** @type {import(\"../geom/Geometry.js\").default} */ (value).getType()]);\n    }\n};\n/**\n * A factory for creating Point nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar POINT_NODE_FACTORY = makeSimpleNodeFactory('Point');\n/**\n * A factory for creating LineString nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar LINE_STRING_NODE_FACTORY = makeSimpleNodeFactory('LineString');\n/**\n * A factory for creating LinearRing nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar LINEAR_RING_NODE_FACTORY = makeSimpleNodeFactory('LinearRing');\n/**\n * A factory for creating Polygon nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar POLYGON_NODE_FACTORY = makeSimpleNodeFactory('Polygon');\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar MULTI_GEOMETRY_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'LineString': makeChildAppender(writePrimitiveGeometry),\n    'Point': makeChildAppender(writePrimitiveGeometry),\n    'Polygon': makeChildAppender(writePolygon),\n    'GeometryCollection': makeChildAppender(writeMultiGeometry),\n});\n/**\n * @param {Node} node Node.\n * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeMultiGeometry(node, geometry, objectStack) {\n    /** @type {import(\"../xml.js\").NodeStackItem} */\n    var context = { node: node };\n    var type = geometry.getType();\n    /** @type {Array<import(\"../geom/Geometry.js\").default>} */\n    var geometries = [];\n    /** @type {function(*, Array<*>, string=): (Node|undefined)} */\n    var factory;\n    if (type === GeometryType.GEOMETRY_COLLECTION) {\n        /** @type {GeometryCollection} */ (geometry)\n            .getGeometriesArrayRecursive()\n            .forEach(function (geometry) {\n            var type = geometry.getType();\n            if (type === GeometryType.MULTI_POINT) {\n                geometries = geometries.concat(\n                /** @type {MultiPoint} */ (geometry).getPoints());\n            }\n            else if (type === GeometryType.MULTI_LINE_STRING) {\n                geometries = geometries.concat(\n                /** @type {MultiLineString} */ (geometry).getLineStrings());\n            }\n            else if (type === GeometryType.MULTI_POLYGON) {\n                geometries = geometries.concat(\n                /** @type {MultiPolygon} */ (geometry).getPolygons());\n            }\n            else if (type === GeometryType.POINT ||\n                type === GeometryType.LINE_STRING ||\n                type === GeometryType.POLYGON) {\n                geometries.push(geometry);\n            }\n            else {\n                assert(false, 39); // Unknown geometry type\n            }\n        });\n        factory = GEOMETRY_NODE_FACTORY;\n    }\n    else if (type === GeometryType.MULTI_POINT) {\n        geometries = /** @type {MultiPoint} */ (geometry).getPoints();\n        factory = POINT_NODE_FACTORY;\n    }\n    else if (type === GeometryType.MULTI_LINE_STRING) {\n        geometries = /** @type {MultiLineString} */ (geometry).getLineStrings();\n        factory = LINE_STRING_NODE_FACTORY;\n    }\n    else if (type === GeometryType.MULTI_POLYGON) {\n        geometries = /** @type {MultiPolygon} */ (geometry).getPolygons();\n        factory = POLYGON_NODE_FACTORY;\n    }\n    else {\n        assert(false, 39); // Unknown geometry type\n    }\n    pushSerializeAndPop(context, MULTI_GEOMETRY_SERIALIZERS, factory, geometries, objectStack);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar BOUNDARY_IS_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'LinearRing': makeChildAppender(writePrimitiveGeometry),\n});\n/**\n * @param {Node} node Node.\n * @param {import(\"../geom/LinearRing.js\").default} linearRing Linear ring.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeBoundaryIs(node, linearRing, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    pushSerializeAndPop(context, BOUNDARY_IS_SERIALIZERS, LINEAR_RING_NODE_FACTORY, [linearRing], objectStack);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar PLACEMARK_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'ExtendedData': makeChildAppender(writeExtendedData),\n    'MultiGeometry': makeChildAppender(writeMultiGeometry),\n    'LineString': makeChildAppender(writePrimitiveGeometry),\n    'LinearRing': makeChildAppender(writePrimitiveGeometry),\n    'Point': makeChildAppender(writePrimitiveGeometry),\n    'Polygon': makeChildAppender(writePolygon),\n    'Style': makeChildAppender(writeStyle),\n    'address': makeChildAppender(writeStringTextNode),\n    'description': makeChildAppender(writeStringTextNode),\n    'name': makeChildAppender(writeStringTextNode),\n    'open': makeChildAppender(writeBooleanTextNode),\n    'phoneNumber': makeChildAppender(writeStringTextNode),\n    'styleUrl': makeChildAppender(writeStringTextNode),\n    'visibility': makeChildAppender(writeBooleanTextNode),\n});\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar PLACEMARK_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'name',\n    'open',\n    'visibility',\n    'address',\n    'phoneNumber',\n    'description',\n    'styleUrl',\n    'Style',\n]);\n/**\n * A factory for creating ExtendedData nodes.\n * @const\n * @type {function(*, Array<*>): (Node|undefined)}\n */\nvar EXTENDEDDATA_NODE_FACTORY = makeSimpleNodeFactory('ExtendedData');\n/**\n * FIXME currently we do serialize arbitrary/custom feature properties\n * (ExtendedData).\n * @param {Element} node Node.\n * @param {Feature} feature Feature.\n * @param {Array<*>} objectStack Object stack.\n * @this {KML}\n */\nfunction writePlacemark(node, feature, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    // set id\n    if (feature.getId()) {\n        node.setAttribute('id', /** @type {string} */ (feature.getId()));\n    }\n    // serialize properties (properties unknown to KML are not serialized)\n    var properties = feature.getProperties();\n    // don't export these to ExtendedData\n    var filter = {\n        'address': 1,\n        'description': 1,\n        'name': 1,\n        'open': 1,\n        'phoneNumber': 1,\n        'styleUrl': 1,\n        'visibility': 1,\n    };\n    filter[feature.getGeometryName()] = 1;\n    var keys = Object.keys(properties || {})\n        .sort()\n        .filter(function (v) {\n        return !filter[v];\n    });\n    var styleFunction = feature.getStyleFunction();\n    if (styleFunction) {\n        // FIXME the styles returned by the style function are supposed to be\n        // resolution-independent here\n        var styles = styleFunction(feature, 0);\n        if (styles) {\n            var styleArray = Array.isArray(styles) ? styles : [styles];\n            var pointStyles = styleArray;\n            if (feature.getGeometry()) {\n                pointStyles = styleArray.filter(function (style) {\n                    var geometry = style.getGeometryFunction()(feature);\n                    if (geometry) {\n                        var type = geometry.getType();\n                        if (type === GeometryType.GEOMETRY_COLLECTION) {\n                            return /** @type {GeometryCollection} */ (geometry)\n                                .getGeometriesArrayRecursive()\n                                .filter(function (geometry) {\n                                var type = geometry.getType();\n                                return (type === GeometryType.POINT ||\n                                    type === GeometryType.MULTI_POINT);\n                            }).length;\n                        }\n                        return (type === GeometryType.POINT || type === GeometryType.MULTI_POINT);\n                    }\n                });\n            }\n            if (this.writeStyles_) {\n                var lineStyles = styleArray;\n                var polyStyles = styleArray;\n                if (feature.getGeometry()) {\n                    lineStyles = styleArray.filter(function (style) {\n                        var geometry = style.getGeometryFunction()(feature);\n                        if (geometry) {\n                            var type = geometry.getType();\n                            if (type === GeometryType.GEOMETRY_COLLECTION) {\n                                return /** @type {GeometryCollection} */ (geometry)\n                                    .getGeometriesArrayRecursive()\n                                    .filter(function (geometry) {\n                                    var type = geometry.getType();\n                                    return (type === GeometryType.LINE_STRING ||\n                                        type === GeometryType.MULTI_LINE_STRING);\n                                }).length;\n                            }\n                            return (type === GeometryType.LINE_STRING ||\n                                type === GeometryType.MULTI_LINE_STRING);\n                        }\n                    });\n                    polyStyles = styleArray.filter(function (style) {\n                        var geometry = style.getGeometryFunction()(feature);\n                        if (geometry) {\n                            var type = geometry.getType();\n                            if (type === GeometryType.GEOMETRY_COLLECTION) {\n                                return /** @type {GeometryCollection} */ (geometry)\n                                    .getGeometriesArrayRecursive()\n                                    .filter(function (geometry) {\n                                    var type = geometry.getType();\n                                    return (type === GeometryType.POLYGON ||\n                                        type === GeometryType.MULTI_POLYGON);\n                                }).length;\n                            }\n                            return (type === GeometryType.POLYGON ||\n                                type === GeometryType.MULTI_POLYGON);\n                        }\n                    });\n                }\n                properties['Style'] = {\n                    pointStyles: pointStyles,\n                    lineStyles: lineStyles,\n                    polyStyles: polyStyles,\n                };\n            }\n            if (pointStyles.length && properties['name'] === undefined) {\n                var textStyle = pointStyles[0].getText();\n                if (textStyle) {\n                    properties['name'] = textStyle.getText();\n                }\n            }\n        }\n    }\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = PLACEMARK_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, PLACEMARK_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n    if (keys.length > 0) {\n        var sequence = makeSequence(properties, keys);\n        var namesAndValues = { names: keys, values: sequence };\n        pushSerializeAndPop(context, PLACEMARK_SERIALIZERS, EXTENDEDDATA_NODE_FACTORY, [namesAndValues], objectStack);\n    }\n    // serialize geometry\n    var options = /** @type {import(\"./Feature.js\").WriteOptions} */ (objectStack[0]);\n    var geometry = feature.getGeometry();\n    if (geometry) {\n        geometry = transformGeometryWithOptions(geometry, true, options);\n    }\n    pushSerializeAndPop(context, PLACEMARK_SERIALIZERS, GEOMETRY_NODE_FACTORY, [geometry], objectStack);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar PRIMITIVE_GEOMETRY_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'extrude',\n    'tessellate',\n    'altitudeMode',\n    'coordinates',\n]);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar PRIMITIVE_GEOMETRY_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'extrude': makeChildAppender(writeBooleanTextNode),\n    'tessellate': makeChildAppender(writeBooleanTextNode),\n    'altitudeMode': makeChildAppender(writeStringTextNode),\n    'coordinates': makeChildAppender(writeCoordinatesTextNode),\n});\n/**\n * @param {Node} node Node.\n * @param {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writePrimitiveGeometry(node, geometry, objectStack) {\n    var flatCoordinates = geometry.getFlatCoordinates();\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    context['layout'] = geometry.getLayout();\n    context['stride'] = geometry.getStride();\n    // serialize properties (properties unknown to KML are not serialized)\n    var properties = geometry.getProperties();\n    properties.coordinates = flatCoordinates;\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = PRIMITIVE_GEOMETRY_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, PRIMITIVE_GEOMETRY_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar POLY_STYLE_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'color',\n    'fill',\n    'outline',\n]);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar POLYGON_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'outerBoundaryIs': makeChildAppender(writeBoundaryIs),\n    'innerBoundaryIs': makeChildAppender(writeBoundaryIs),\n});\n/**\n * A factory for creating innerBoundaryIs nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar INNER_BOUNDARY_NODE_FACTORY = makeSimpleNodeFactory('innerBoundaryIs');\n/**\n * A factory for creating outerBoundaryIs nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar OUTER_BOUNDARY_NODE_FACTORY = makeSimpleNodeFactory('outerBoundaryIs');\n/**\n * @param {Node} node Node.\n * @param {Polygon} polygon Polygon.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writePolygon(node, polygon, objectStack) {\n    var linearRings = polygon.getLinearRings();\n    var outerRing = linearRings.shift();\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    // inner rings\n    pushSerializeAndPop(context, POLYGON_SERIALIZERS, INNER_BOUNDARY_NODE_FACTORY, linearRings, objectStack);\n    // outer ring\n    pushSerializeAndPop(context, POLYGON_SERIALIZERS, OUTER_BOUNDARY_NODE_FACTORY, [outerRing], objectStack);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar POLY_STYLE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeChildAppender(writeColorTextNode),\n    'fill': makeChildAppender(writeBooleanTextNode),\n    'outline': makeChildAppender(writeBooleanTextNode),\n});\n/**\n * @param {Node} node Node.\n * @param {Style} style Style.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writePolyStyle(node, style, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var fill = style.getFill();\n    var stroke = style.getStroke();\n    var properties = {\n        'color': fill ? fill.getColor() : undefined,\n        'fill': fill ? undefined : false,\n        'outline': stroke ? undefined : false,\n    };\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = POLY_STYLE_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, POLY_STYLE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @param {Node} node Node to append a TextNode with the scale to.\n * @param {number|undefined} scale Scale.\n */\nfunction writeScaleTextNode(node, scale) {\n    // the Math is to remove any excess decimals created by float arithmetic\n    writeDecimalTextNode(node, Math.round(scale * 1e6) / 1e6);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar STYLE_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'IconStyle',\n    'LabelStyle',\n    'LineStyle',\n    'PolyStyle',\n]);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar STYLE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'IconStyle': makeChildAppender(writeIconStyle),\n    'LabelStyle': makeChildAppender(writeLabelStyle),\n    'LineStyle': makeChildAppender(writeLineStyle),\n    'PolyStyle': makeChildAppender(writePolyStyle),\n});\n/**\n * @param {Node} node Node.\n * @param {Object<string, Array<Style>>} styles Styles.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeStyle(node, styles, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var properties = {};\n    if (styles.pointStyles.length) {\n        var textStyle = styles.pointStyles[0].getText();\n        if (textStyle) {\n            properties['LabelStyle'] = textStyle;\n        }\n        var imageStyle = styles.pointStyles[0].getImage();\n        if (imageStyle &&\n            typeof ( /** @type {?} */(imageStyle).getSrc) === 'function') {\n            properties['IconStyle'] = imageStyle;\n        }\n    }\n    if (styles.lineStyles.length) {\n        var strokeStyle = styles.lineStyles[0].getStroke();\n        if (strokeStyle) {\n            properties['LineStyle'] = strokeStyle;\n        }\n    }\n    if (styles.polyStyles.length) {\n        var strokeStyle = styles.polyStyles[0].getStroke();\n        if (strokeStyle && !properties['LineStyle']) {\n            properties['LineStyle'] = strokeStyle;\n        }\n        properties['PolyStyle'] = styles.polyStyles[0];\n    }\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = STYLE_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, STYLE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @param {Element} node Node to append a TextNode with the Vec2 to.\n * @param {Vec2} vec2 Vec2.\n */\nfunction writeVec2(node, vec2) {\n    node.setAttribute('x', String(vec2.x));\n    node.setAttribute('y', String(vec2.y));\n    node.setAttribute('xunits', vec2.xunits);\n    node.setAttribute('yunits', vec2.yunits);\n}\nexport default KML;\n//# sourceMappingURL=KML.js.map","/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> */\nexports.read = function (buffer, offset, isLE, mLen, nBytes) {\n  var e, m\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var nBits = -7\n  var i = isLE ? (nBytes - 1) : 0\n  var d = isLE ? -1 : 1\n  var s = buffer[offset + i]\n\n  i += d\n\n  e = s & ((1 << (-nBits)) - 1)\n  s >>= (-nBits)\n  nBits += eLen\n  for (; nBits > 0; e = (e * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  m = e & ((1 << (-nBits)) - 1)\n  e >>= (-nBits)\n  nBits += mLen\n  for (; nBits > 0; m = (m * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  if (e === 0) {\n    e = 1 - eBias\n  } else if (e === eMax) {\n    return m ? NaN : ((s ? -1 : 1) * Infinity)\n  } else {\n    m = m + Math.pow(2, mLen)\n    e = e - eBias\n  }\n  return (s ? -1 : 1) * m * Math.pow(2, e - mLen)\n}\n\nexports.write = function (buffer, value, offset, isLE, mLen, nBytes) {\n  var e, m, c\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var rt = (mLen === 23 ? Math.pow(2, -24) - Math.pow(2, -77) : 0)\n  var i = isLE ? 0 : (nBytes - 1)\n  var d = isLE ? 1 : -1\n  var s = value < 0 || (value === 0 && 1 / value < 0) ? 1 : 0\n\n  value = Math.abs(value)\n\n  if (isNaN(value) || value === Infinity) {\n    m = isNaN(value) ? 1 : 0\n    e = eMax\n  } else {\n    e = Math.floor(Math.log(value) / Math.LN2)\n    if (value * (c = Math.pow(2, -e)) < 1) {\n      e--\n      c *= 2\n    }\n    if (e + eBias >= 1) {\n      value += rt / c\n    } else {\n      value += rt * Math.pow(2, 1 - eBias)\n    }\n    if (value * c >= 2) {\n      e++\n      c /= 2\n    }\n\n    if (e + eBias >= eMax) {\n      m = 0\n      e = eMax\n    } else if (e + eBias >= 1) {\n      m = ((value * c) - 1) * Math.pow(2, mLen)\n      e = e + eBias\n    } else {\n      m = value * Math.pow(2, eBias - 1) * Math.pow(2, mLen)\n      e = 0\n    }\n  }\n\n  for (; mLen >= 8; buffer[offset + i] = m & 0xff, i += d, m /= 256, mLen -= 8) {}\n\n  e = (e << mLen) | m\n  eLen += mLen\n  for (; eLen > 0; buffer[offset + i] = e & 0xff, i += d, e /= 256, eLen -= 8) {}\n\n  buffer[offset + i - d] |= s * 128\n}\n","'use strict';\n\nmodule.exports = Pbf;\n\nvar ieee754 = require('ieee754');\n\nfunction Pbf(buf) {\n    this.buf = ArrayBuffer.isView && ArrayBuffer.isView(buf) ? buf : new Uint8Array(buf || 0);\n    this.pos = 0;\n    this.type = 0;\n    this.length = this.buf.length;\n}\n\nPbf.Varint  = 0; // varint: int32, int64, uint32, uint64, sint32, sint64, bool, enum\nPbf.Fixed64 = 1; // 64-bit: double, fixed64, sfixed64\nPbf.Bytes   = 2; // length-delimited: string, bytes, embedded messages, packed repeated fields\nPbf.Fixed32 = 5; // 32-bit: float, fixed32, sfixed32\n\nvar SHIFT_LEFT_32 = (1 << 16) * (1 << 16),\n    SHIFT_RIGHT_32 = 1 / SHIFT_LEFT_32;\n\n// Threshold chosen based on both benchmarking and knowledge about browser string\n// data structures (which currently switch structure types at 12 bytes or more)\nvar TEXT_DECODER_MIN_LENGTH = 12;\nvar utf8TextDecoder = typeof TextDecoder === 'undefined' ? null : new TextDecoder('utf8');\n\nPbf.prototype = {\n\n    destroy: function() {\n        this.buf = null;\n    },\n\n    // === READING =================================================================\n\n    readFields: function(readField, result, end) {\n        end = end || this.length;\n\n        while (this.pos < end) {\n            var val = this.readVarint(),\n                tag = val >> 3,\n                startPos = this.pos;\n\n            this.type = val & 0x7;\n            readField(tag, result, this);\n\n            if (this.pos === startPos) this.skip(val);\n        }\n        return result;\n    },\n\n    readMessage: function(readField, result) {\n        return this.readFields(readField, result, this.readVarint() + this.pos);\n    },\n\n    readFixed32: function() {\n        var val = readUInt32(this.buf, this.pos);\n        this.pos += 4;\n        return val;\n    },\n\n    readSFixed32: function() {\n        var val = readInt32(this.buf, this.pos);\n        this.pos += 4;\n        return val;\n    },\n\n    // 64-bit int handling is based on github.com/dpw/node-buffer-more-ints (MIT-licensed)\n\n    readFixed64: function() {\n        var val = readUInt32(this.buf, this.pos) + readUInt32(this.buf, this.pos + 4) * SHIFT_LEFT_32;\n        this.pos += 8;\n        return val;\n    },\n\n    readSFixed64: function() {\n        var val = readUInt32(this.buf, this.pos) + readInt32(this.buf, this.pos + 4) * SHIFT_LEFT_32;\n        this.pos += 8;\n        return val;\n    },\n\n    readFloat: function() {\n        var val = ieee754.read(this.buf, this.pos, true, 23, 4);\n        this.pos += 4;\n        return val;\n    },\n\n    readDouble: function() {\n        var val = ieee754.read(this.buf, this.pos, true, 52, 8);\n        this.pos += 8;\n        return val;\n    },\n\n    readVarint: function(isSigned) {\n        var buf = this.buf,\n            val, b;\n\n        b = buf[this.pos++]; val  =  b & 0x7f;        if (b < 0x80) return val;\n        b = buf[this.pos++]; val |= (b & 0x7f) << 7;  if (b < 0x80) return val;\n        b = buf[this.pos++]; val |= (b & 0x7f) << 14; if (b < 0x80) return val;\n        b = buf[this.pos++]; val |= (b & 0x7f) << 21; if (b < 0x80) return val;\n        b = buf[this.pos];   val |= (b & 0x0f) << 28;\n\n        return readVarintRemainder(val, isSigned, this);\n    },\n\n    readVarint64: function() { // for compatibility with v2.0.1\n        return this.readVarint(true);\n    },\n\n    readSVarint: function() {\n        var num = this.readVarint();\n        return num % 2 === 1 ? (num + 1) / -2 : num / 2; // zigzag encoding\n    },\n\n    readBoolean: function() {\n        return Boolean(this.readVarint());\n    },\n\n    readString: function() {\n        var end = this.readVarint() + this.pos;\n        var pos = this.pos;\n        this.pos = end;\n\n        if (end - pos >= TEXT_DECODER_MIN_LENGTH && utf8TextDecoder) {\n            // longer strings are fast with the built-in browser TextDecoder API\n            return readUtf8TextDecoder(this.buf, pos, end);\n        }\n        // short strings are fast with our custom implementation\n        return readUtf8(this.buf, pos, end);\n    },\n\n    readBytes: function() {\n        var end = this.readVarint() + this.pos,\n            buffer = this.buf.subarray(this.pos, end);\n        this.pos = end;\n        return buffer;\n    },\n\n    // verbose for performance reasons; doesn't affect gzipped size\n\n    readPackedVarint: function(arr, isSigned) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readVarint(isSigned));\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readVarint(isSigned));\n        return arr;\n    },\n    readPackedSVarint: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readSVarint());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readSVarint());\n        return arr;\n    },\n    readPackedBoolean: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readBoolean());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readBoolean());\n        return arr;\n    },\n    readPackedFloat: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readFloat());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readFloat());\n        return arr;\n    },\n    readPackedDouble: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readDouble());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readDouble());\n        return arr;\n    },\n    readPackedFixed32: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readFixed32());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readFixed32());\n        return arr;\n    },\n    readPackedSFixed32: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readSFixed32());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readSFixed32());\n        return arr;\n    },\n    readPackedFixed64: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readFixed64());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readFixed64());\n        return arr;\n    },\n    readPackedSFixed64: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readSFixed64());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readSFixed64());\n        return arr;\n    },\n\n    skip: function(val) {\n        var type = val & 0x7;\n        if (type === Pbf.Varint) while (this.buf[this.pos++] > 0x7f) {}\n        else if (type === Pbf.Bytes) this.pos = this.readVarint() + this.pos;\n        else if (type === Pbf.Fixed32) this.pos += 4;\n        else if (type === Pbf.Fixed64) this.pos += 8;\n        else throw new Error('Unimplemented type: ' + type);\n    },\n\n    // === WRITING =================================================================\n\n    writeTag: function(tag, type) {\n        this.writeVarint((tag << 3) | type);\n    },\n\n    realloc: function(min) {\n        var length = this.length || 16;\n\n        while (length < this.pos + min) length *= 2;\n\n        if (length !== this.length) {\n            var buf = new Uint8Array(length);\n            buf.set(this.buf);\n            this.buf = buf;\n            this.length = length;\n        }\n    },\n\n    finish: function() {\n        this.length = this.pos;\n        this.pos = 0;\n        return this.buf.subarray(0, this.length);\n    },\n\n    writeFixed32: function(val) {\n        this.realloc(4);\n        writeInt32(this.buf, val, this.pos);\n        this.pos += 4;\n    },\n\n    writeSFixed32: function(val) {\n        this.realloc(4);\n        writeInt32(this.buf, val, this.pos);\n        this.pos += 4;\n    },\n\n    writeFixed64: function(val) {\n        this.realloc(8);\n        writeInt32(this.buf, val & -1, this.pos);\n        writeInt32(this.buf, Math.floor(val * SHIFT_RIGHT_32), this.pos + 4);\n        this.pos += 8;\n    },\n\n    writeSFixed64: function(val) {\n        this.realloc(8);\n        writeInt32(this.buf, val & -1, this.pos);\n        writeInt32(this.buf, Math.floor(val * SHIFT_RIGHT_32), this.pos + 4);\n        this.pos += 8;\n    },\n\n    writeVarint: function(val) {\n        val = +val || 0;\n\n        if (val > 0xfffffff || val < 0) {\n            writeBigVarint(val, this);\n            return;\n        }\n\n        this.realloc(4);\n\n        this.buf[this.pos++] =           val & 0x7f  | (val > 0x7f ? 0x80 : 0); if (val <= 0x7f) return;\n        this.buf[this.pos++] = ((val >>>= 7) & 0x7f) | (val > 0x7f ? 0x80 : 0); if (val <= 0x7f) return;\n        this.buf[this.pos++] = ((val >>>= 7) & 0x7f) | (val > 0x7f ? 0x80 : 0); if (val <= 0x7f) return;\n        this.buf[this.pos++] =   (val >>> 7) & 0x7f;\n    },\n\n    writeSVarint: function(val) {\n        this.writeVarint(val < 0 ? -val * 2 - 1 : val * 2);\n    },\n\n    writeBoolean: function(val) {\n        this.writeVarint(Boolean(val));\n    },\n\n    writeString: function(str) {\n        str = String(str);\n        this.realloc(str.length * 4);\n\n        this.pos++; // reserve 1 byte for short string length\n\n        var startPos = this.pos;\n        // write the string directly to the buffer and see how much was written\n        this.pos = writeUtf8(this.buf, str, this.pos);\n        var len = this.pos - startPos;\n\n        if (len >= 0x80) makeRoomForExtraLength(startPos, len, this);\n\n        // finally, write the message length in the reserved place and restore the position\n        this.pos = startPos - 1;\n        this.writeVarint(len);\n        this.pos += len;\n    },\n\n    writeFloat: function(val) {\n        this.realloc(4);\n        ieee754.write(this.buf, val, this.pos, true, 23, 4);\n        this.pos += 4;\n    },\n\n    writeDouble: function(val) {\n        this.realloc(8);\n        ieee754.write(this.buf, val, this.pos, true, 52, 8);\n        this.pos += 8;\n    },\n\n    writeBytes: function(buffer) {\n        var len = buffer.length;\n        this.writeVarint(len);\n        this.realloc(len);\n        for (var i = 0; i < len; i++) this.buf[this.pos++] = buffer[i];\n    },\n\n    writeRawMessage: function(fn, obj) {\n        this.pos++; // reserve 1 byte for short message length\n\n        // write the message directly to the buffer and see how much was written\n        var startPos = this.pos;\n        fn(obj, this);\n        var len = this.pos - startPos;\n\n        if (len >= 0x80) makeRoomForExtraLength(startPos, len, this);\n\n        // finally, write the message length in the reserved place and restore the position\n        this.pos = startPos - 1;\n        this.writeVarint(len);\n        this.pos += len;\n    },\n\n    writeMessage: function(tag, fn, obj) {\n        this.writeTag(tag, Pbf.Bytes);\n        this.writeRawMessage(fn, obj);\n    },\n\n    writePackedVarint:   function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedVarint, arr);   },\n    writePackedSVarint:  function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedSVarint, arr);  },\n    writePackedBoolean:  function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedBoolean, arr);  },\n    writePackedFloat:    function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedFloat, arr);    },\n    writePackedDouble:   function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedDouble, arr);   },\n    writePackedFixed32:  function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedFixed32, arr);  },\n    writePackedSFixed32: function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedSFixed32, arr); },\n    writePackedFixed64:  function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedFixed64, arr);  },\n    writePackedSFixed64: function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedSFixed64, arr); },\n\n    writeBytesField: function(tag, buffer) {\n        this.writeTag(tag, Pbf.Bytes);\n        this.writeBytes(buffer);\n    },\n    writeFixed32Field: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed32);\n        this.writeFixed32(val);\n    },\n    writeSFixed32Field: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed32);\n        this.writeSFixed32(val);\n    },\n    writeFixed64Field: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed64);\n        this.writeFixed64(val);\n    },\n    writeSFixed64Field: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed64);\n        this.writeSFixed64(val);\n    },\n    writeVarintField: function(tag, val) {\n        this.writeTag(tag, Pbf.Varint);\n        this.writeVarint(val);\n    },\n    writeSVarintField: function(tag, val) {\n        this.writeTag(tag, Pbf.Varint);\n        this.writeSVarint(val);\n    },\n    writeStringField: function(tag, str) {\n        this.writeTag(tag, Pbf.Bytes);\n        this.writeString(str);\n    },\n    writeFloatField: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed32);\n        this.writeFloat(val);\n    },\n    writeDoubleField: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed64);\n        this.writeDouble(val);\n    },\n    writeBooleanField: function(tag, val) {\n        this.writeVarintField(tag, Boolean(val));\n    }\n};\n\nfunction readVarintRemainder(l, s, p) {\n    var buf = p.buf,\n        h, b;\n\n    b = buf[p.pos++]; h  = (b & 0x70) >> 4;  if (b < 0x80) return toNum(l, h, s);\n    b = buf[p.pos++]; h |= (b & 0x7f) << 3;  if (b < 0x80) return toNum(l, h, s);\n    b = buf[p.pos++]; h |= (b & 0x7f) << 10; if (b < 0x80) return toNum(l, h, s);\n    b = buf[p.pos++]; h |= (b & 0x7f) << 17; if (b < 0x80) return toNum(l, h, s);\n    b = buf[p.pos++]; h |= (b & 0x7f) << 24; if (b < 0x80) return toNum(l, h, s);\n    b = buf[p.pos++]; h |= (b & 0x01) << 31; if (b < 0x80) return toNum(l, h, s);\n\n    throw new Error('Expected varint not more than 10 bytes');\n}\n\nfunction readPackedEnd(pbf) {\n    return pbf.type === Pbf.Bytes ?\n        pbf.readVarint() + pbf.pos : pbf.pos + 1;\n}\n\nfunction toNum(low, high, isSigned) {\n    if (isSigned) {\n        return high * 0x100000000 + (low >>> 0);\n    }\n\n    return ((high >>> 0) * 0x100000000) + (low >>> 0);\n}\n\nfunction writeBigVarint(val, pbf) {\n    var low, high;\n\n    if (val >= 0) {\n        low  = (val % 0x100000000) | 0;\n        high = (val / 0x100000000) | 0;\n    } else {\n        low  = ~(-val % 0x100000000);\n        high = ~(-val / 0x100000000);\n\n        if (low ^ 0xffffffff) {\n            low = (low + 1) | 0;\n        } else {\n            low = 0;\n            high = (high + 1) | 0;\n        }\n    }\n\n    if (val >= 0x10000000000000000 || val < -0x10000000000000000) {\n        throw new Error('Given varint doesn\\'t fit into 10 bytes');\n    }\n\n    pbf.realloc(10);\n\n    writeBigVarintLow(low, high, pbf);\n    writeBigVarintHigh(high, pbf);\n}\n\nfunction writeBigVarintLow(low, high, pbf) {\n    pbf.buf[pbf.pos++] = low & 0x7f | 0x80; low >>>= 7;\n    pbf.buf[pbf.pos++] = low & 0x7f | 0x80; low >>>= 7;\n    pbf.buf[pbf.pos++] = low & 0x7f | 0x80; low >>>= 7;\n    pbf.buf[pbf.pos++] = low & 0x7f | 0x80; low >>>= 7;\n    pbf.buf[pbf.pos]   = low & 0x7f;\n}\n\nfunction writeBigVarintHigh(high, pbf) {\n    var lsb = (high & 0x07) << 4;\n\n    pbf.buf[pbf.pos++] |= lsb         | ((high >>>= 3) ? 0x80 : 0); if (!high) return;\n    pbf.buf[pbf.pos++]  = high & 0x7f | ((high >>>= 7) ? 0x80 : 0); if (!high) return;\n    pbf.buf[pbf.pos++]  = high & 0x7f | ((high >>>= 7) ? 0x80 : 0); if (!high) return;\n    pbf.buf[pbf.pos++]  = high & 0x7f | ((high >>>= 7) ? 0x80 : 0); if (!high) return;\n    pbf.buf[pbf.pos++]  = high & 0x7f | ((high >>>= 7) ? 0x80 : 0); if (!high) return;\n    pbf.buf[pbf.pos++]  = high & 0x7f;\n}\n\nfunction makeRoomForExtraLength(startPos, len, pbf) {\n    var extraLen =\n        len <= 0x3fff ? 1 :\n        len <= 0x1fffff ? 2 :\n        len <= 0xfffffff ? 3 : Math.floor(Math.log(len) / (Math.LN2 * 7));\n\n    // if 1 byte isn't enough for encoding message length, shift the data to the right\n    pbf.realloc(extraLen);\n    for (var i = pbf.pos - 1; i >= startPos; i--) pbf.buf[i + extraLen] = pbf.buf[i];\n}\n\nfunction writePackedVarint(arr, pbf)   { for (var i = 0; i < arr.length; i++) pbf.writeVarint(arr[i]);   }\nfunction writePackedSVarint(arr, pbf)  { for (var i = 0; i < arr.length; i++) pbf.writeSVarint(arr[i]);  }\nfunction writePackedFloat(arr, pbf)    { for (var i = 0; i < arr.length; i++) pbf.writeFloat(arr[i]);    }\nfunction writePackedDouble(arr, pbf)   { for (var i = 0; i < arr.length; i++) pbf.writeDouble(arr[i]);   }\nfunction writePackedBoolean(arr, pbf)  { for (var i = 0; i < arr.length; i++) pbf.writeBoolean(arr[i]);  }\nfunction writePackedFixed32(arr, pbf)  { for (var i = 0; i < arr.length; i++) pbf.writeFixed32(arr[i]);  }\nfunction writePackedSFixed32(arr, pbf) { for (var i = 0; i < arr.length; i++) pbf.writeSFixed32(arr[i]); }\nfunction writePackedFixed64(arr, pbf)  { for (var i = 0; i < arr.length; i++) pbf.writeFixed64(arr[i]);  }\nfunction writePackedSFixed64(arr, pbf) { for (var i = 0; i < arr.length; i++) pbf.writeSFixed64(arr[i]); }\n\n// Buffer code below from https://github.com/feross/buffer, MIT-licensed\n\nfunction readUInt32(buf, pos) {\n    return ((buf[pos]) |\n        (buf[pos + 1] << 8) |\n        (buf[pos + 2] << 16)) +\n        (buf[pos + 3] * 0x1000000);\n}\n\nfunction writeInt32(buf, val, pos) {\n    buf[pos] = val;\n    buf[pos + 1] = (val >>> 8);\n    buf[pos + 2] = (val >>> 16);\n    buf[pos + 3] = (val >>> 24);\n}\n\nfunction readInt32(buf, pos) {\n    return ((buf[pos]) |\n        (buf[pos + 1] << 8) |\n        (buf[pos + 2] << 16)) +\n        (buf[pos + 3] << 24);\n}\n\nfunction readUtf8(buf, pos, end) {\n    var str = '';\n    var i = pos;\n\n    while (i < end) {\n        var b0 = buf[i];\n        var c = null; // codepoint\n        var bytesPerSequence =\n            b0 > 0xEF ? 4 :\n            b0 > 0xDF ? 3 :\n            b0 > 0xBF ? 2 : 1;\n\n        if (i + bytesPerSequence > end) break;\n\n        var b1, b2, b3;\n\n        if (bytesPerSequence === 1) {\n            if (b0 < 0x80) {\n                c = b0;\n            }\n        } else if (bytesPerSequence === 2) {\n            b1 = buf[i + 1];\n            if ((b1 & 0xC0) === 0x80) {\n                c = (b0 & 0x1F) << 0x6 | (b1 & 0x3F);\n                if (c <= 0x7F) {\n                    c = null;\n                }\n            }\n        } else if (bytesPerSequence === 3) {\n            b1 = buf[i + 1];\n            b2 = buf[i + 2];\n            if ((b1 & 0xC0) === 0x80 && (b2 & 0xC0) === 0x80) {\n                c = (b0 & 0xF) << 0xC | (b1 & 0x3F) << 0x6 | (b2 & 0x3F);\n                if (c <= 0x7FF || (c >= 0xD800 && c <= 0xDFFF)) {\n                    c = null;\n                }\n            }\n        } else if (bytesPerSequence === 4) {\n            b1 = buf[i + 1];\n            b2 = buf[i + 2];\n            b3 = buf[i + 3];\n            if ((b1 & 0xC0) === 0x80 && (b2 & 0xC0) === 0x80 && (b3 & 0xC0) === 0x80) {\n                c = (b0 & 0xF) << 0x12 | (b1 & 0x3F) << 0xC | (b2 & 0x3F) << 0x6 | (b3 & 0x3F);\n                if (c <= 0xFFFF || c >= 0x110000) {\n                    c = null;\n                }\n            }\n        }\n\n        if (c === null) {\n            c = 0xFFFD;\n            bytesPerSequence = 1;\n\n        } else if (c > 0xFFFF) {\n            c -= 0x10000;\n            str += String.fromCharCode(c >>> 10 & 0x3FF | 0xD800);\n            c = 0xDC00 | c & 0x3FF;\n        }\n\n        str += String.fromCharCode(c);\n        i += bytesPerSequence;\n    }\n\n    return str;\n}\n\nfunction readUtf8TextDecoder(buf, pos, end) {\n    return utf8TextDecoder.decode(buf.subarray(pos, end));\n}\n\nfunction writeUtf8(buf, str, pos) {\n    for (var i = 0, c, lead; i < str.length; i++) {\n        c = str.charCodeAt(i); // code point\n\n        if (c > 0xD7FF && c < 0xE000) {\n            if (lead) {\n                if (c < 0xDC00) {\n                    buf[pos++] = 0xEF;\n                    buf[pos++] = 0xBF;\n                    buf[pos++] = 0xBD;\n                    lead = c;\n                    continue;\n                } else {\n                    c = lead - 0xD800 << 10 | c - 0xDC00 | 0x10000;\n                    lead = null;\n                }\n            } else {\n                if (c > 0xDBFF || (i + 1 === str.length)) {\n                    buf[pos++] = 0xEF;\n                    buf[pos++] = 0xBF;\n                    buf[pos++] = 0xBD;\n                } else {\n                    lead = c;\n                }\n                continue;\n            }\n        } else if (lead) {\n            buf[pos++] = 0xEF;\n            buf[pos++] = 0xBF;\n            buf[pos++] = 0xBD;\n            lead = null;\n        }\n\n        if (c < 0x80) {\n            buf[pos++] = c;\n        } else {\n            if (c < 0x800) {\n                buf[pos++] = c >> 0x6 | 0xC0;\n            } else {\n                if (c < 0x10000) {\n                    buf[pos++] = c >> 0xC | 0xE0;\n                } else {\n                    buf[pos++] = c >> 0x12 | 0xF0;\n                    buf[pos++] = c >> 0xC & 0x3F | 0x80;\n                }\n                buf[pos++] = c >> 0x6 & 0x3F | 0x80;\n            }\n            buf[pos++] = c & 0x3F | 0x80;\n        }\n    }\n    return pos;\n}\n","/**\n * @module ol/render/Feature\n */\nimport GeometryType from '../geom/GeometryType.js';\nimport { compose as composeTransform, create as createTransform, } from '../transform.js';\nimport { createOrUpdateFromCoordinate, createOrUpdateFromFlatCoordinates, getCenter, getHeight, } from '../extent.js';\nimport { extend } from '../array.js';\nimport { getInteriorPointOfArray, getInteriorPointsOfMultiArray, } from '../geom/flat/interiorpoint.js';\nimport { get as getProjection } from '../proj.js';\nimport { interpolatePoint } from '../geom/flat/interpolate.js';\nimport { linearRingss as linearRingssCenter } from '../geom/flat/center.js';\nimport { transform2D } from '../geom/flat/transform.js';\n/**\n * @type {import(\"../transform.js\").Transform}\n */\nvar tmpTransform = createTransform();\n/**\n * Lightweight, read-only, {@link module:ol/Feature~Feature} and {@link module:ol/geom/Geometry~Geometry} like\n * structure, optimized for vector tile rendering and styling. Geometry access\n * through the API is limited to getting the type and extent of the geometry.\n */\nvar RenderFeature = /** @class */ (function () {\n    /**\n     * @param {import(\"../geom/GeometryType.js\").default} type Geometry type.\n     * @param {Array<number>} flatCoordinates Flat coordinates. These always need\n     *     to be right-handed for polygons.\n     * @param {Array<number>|Array<Array<number>>} ends Ends or Endss.\n     * @param {Object<string, *>} properties Properties.\n     * @param {number|string|undefined} id Feature id.\n     */\n    function RenderFeature(type, flatCoordinates, ends, properties, id) {\n        /**\n         * @type {import(\"../style/Style.js\").StyleFunction|undefined}\n         */\n        this.styleFunction;\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent|undefined}\n         */\n        this.extent_;\n        /**\n         * @private\n         * @type {number|string|undefined}\n         */\n        this.id_ = id;\n        /**\n         * @private\n         * @type {import(\"../geom/GeometryType.js\").default}\n         */\n        this.type_ = type;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.flatCoordinates_ = flatCoordinates;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.flatInteriorPoints_ = null;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.flatMidpoints_ = null;\n        /**\n         * @private\n         * @type {Array<number>|Array<Array<number>>}\n         */\n        this.ends_ = ends;\n        /**\n         * @private\n         * @type {Object<string, *>}\n         */\n        this.properties_ = properties;\n    }\n    /**\n     * Get a feature property by its key.\n     * @param {string} key Key\n     * @return {*} Value for the requested key.\n     * @api\n     */\n    RenderFeature.prototype.get = function (key) {\n        return this.properties_[key];\n    };\n    /**\n     * Get the extent of this feature's geometry.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    RenderFeature.prototype.getExtent = function () {\n        if (!this.extent_) {\n            this.extent_ =\n                this.type_ === GeometryType.POINT\n                    ? createOrUpdateFromCoordinate(this.flatCoordinates_)\n                    : createOrUpdateFromFlatCoordinates(this.flatCoordinates_, 0, this.flatCoordinates_.length, 2);\n        }\n        return this.extent_;\n    };\n    /**\n     * @return {Array<number>} Flat interior points.\n     */\n    RenderFeature.prototype.getFlatInteriorPoint = function () {\n        if (!this.flatInteriorPoints_) {\n            var flatCenter = getCenter(this.getExtent());\n            this.flatInteriorPoints_ = getInteriorPointOfArray(this.flatCoordinates_, 0, \n            /** @type {Array<number>} */ (this.ends_), 2, flatCenter, 0);\n        }\n        return this.flatInteriorPoints_;\n    };\n    /**\n     * @return {Array<number>} Flat interior points.\n     */\n    RenderFeature.prototype.getFlatInteriorPoints = function () {\n        if (!this.flatInteriorPoints_) {\n            var flatCenters = linearRingssCenter(this.flatCoordinates_, 0, \n            /** @type {Array<Array<number>>} */ (this.ends_), 2);\n            this.flatInteriorPoints_ = getInteriorPointsOfMultiArray(this.flatCoordinates_, 0, \n            /** @type {Array<Array<number>>} */ (this.ends_), 2, flatCenters);\n        }\n        return this.flatInteriorPoints_;\n    };\n    /**\n     * @return {Array<number>} Flat midpoint.\n     */\n    RenderFeature.prototype.getFlatMidpoint = function () {\n        if (!this.flatMidpoints_) {\n            this.flatMidpoints_ = interpolatePoint(this.flatCoordinates_, 0, this.flatCoordinates_.length, 2, 0.5);\n        }\n        return this.flatMidpoints_;\n    };\n    /**\n     * @return {Array<number>} Flat midpoints.\n     */\n    RenderFeature.prototype.getFlatMidpoints = function () {\n        if (!this.flatMidpoints_) {\n            this.flatMidpoints_ = [];\n            var flatCoordinates = this.flatCoordinates_;\n            var offset = 0;\n            var ends = /** @type {Array<number>} */ (this.ends_);\n            for (var i = 0, ii = ends.length; i < ii; ++i) {\n                var end = ends[i];\n                var midpoint = interpolatePoint(flatCoordinates, offset, end, 2, 0.5);\n                extend(this.flatMidpoints_, midpoint);\n                offset = end;\n            }\n        }\n        return this.flatMidpoints_;\n    };\n    /**\n     * Get the feature identifier.  This is a stable identifier for the feature and\n     * is set when reading data from a remote source.\n     * @return {number|string|undefined} Id.\n     * @api\n     */\n    RenderFeature.prototype.getId = function () {\n        return this.id_;\n    };\n    /**\n     * @return {Array<number>} Flat coordinates.\n     */\n    RenderFeature.prototype.getOrientedFlatCoordinates = function () {\n        return this.flatCoordinates_;\n    };\n    /**\n     * For API compatibility with {@link module:ol/Feature~Feature}, this method is useful when\n     * determining the geometry type in style function (see {@link #getType}).\n     * @return {RenderFeature} Feature.\n     * @api\n     */\n    RenderFeature.prototype.getGeometry = function () {\n        return this;\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {RenderFeature} Simplified geometry.\n     */\n    RenderFeature.prototype.getSimplifiedGeometry = function (squaredTolerance) {\n        return this;\n    };\n    /**\n     * Get a transformed and simplified version of the geometry.\n     * @abstract\n     * @param {number} squaredTolerance Squared tolerance.\n     * @param {import(\"../proj.js\").TransformFunction} [opt_transform] Optional transform function.\n     * @return {RenderFeature} Simplified geometry.\n     */\n    RenderFeature.prototype.simplifyTransformed = function (squaredTolerance, opt_transform) {\n        return this;\n    };\n    /**\n     * Get the feature properties.\n     * @return {Object<string, *>} Feature properties.\n     * @api\n     */\n    RenderFeature.prototype.getProperties = function () {\n        return this.properties_;\n    };\n    /**\n     * @return {number} Stride.\n     */\n    RenderFeature.prototype.getStride = function () {\n        return 2;\n    };\n    /**\n     * @return {import('../style/Style.js').StyleFunction|undefined} Style\n     */\n    RenderFeature.prototype.getStyleFunction = function () {\n        return this.styleFunction;\n    };\n    /**\n     * Get the type of this feature's geometry.\n     * @return {import(\"../geom/GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    RenderFeature.prototype.getType = function () {\n        return this.type_;\n    };\n    /**\n     * Transform geometry coordinates from tile pixel space to projected.\n     *\n     * @param {import(\"../proj.js\").ProjectionLike} projection The data projection\n     */\n    RenderFeature.prototype.transform = function (projection) {\n        projection = getProjection(projection);\n        var pixelExtent = projection.getExtent();\n        var projectedExtent = projection.getWorldExtent();\n        if (pixelExtent && projectedExtent) {\n            var scale = getHeight(projectedExtent) / getHeight(pixelExtent);\n            composeTransform(tmpTransform, projectedExtent[0], projectedExtent[3], scale, -scale, 0, 0, 0);\n            transform2D(this.flatCoordinates_, 0, this.flatCoordinates_.length, 2, tmpTransform, this.flatCoordinates_);\n        }\n    };\n    /**\n     * @return {Array<number>|Array<Array<number>>} Ends or endss.\n     */\n    RenderFeature.prototype.getEnds = function () {\n        return this.ends_;\n    };\n    return RenderFeature;\n}());\nRenderFeature.prototype.getEndss = RenderFeature.prototype.getEnds;\n/**\n * @return {Array<number>} Flat coordinates.\n */\nRenderFeature.prototype.getFlatCoordinates =\n    RenderFeature.prototype.getOrientedFlatCoordinates;\nexport default RenderFeature;\n//# sourceMappingURL=Feature.js.map","/**\n * @module ol/format/MVT\n */\n//FIXME Implement projection handling\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport FeatureFormat, { transformGeometryWithOptions } from './Feature.js';\nimport FormatType from './FormatType.js';\nimport GeometryLayout from '../geom/GeometryLayout.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport LineString from '../geom/LineString.js';\nimport MultiLineString from '../geom/MultiLineString.js';\nimport MultiPoint from '../geom/MultiPoint.js';\nimport MultiPolygon from '../geom/MultiPolygon.js';\nimport PBF from 'pbf';\nimport Point from '../geom/Point.js';\nimport Polygon from '../geom/Polygon.js';\nimport Projection from '../proj/Projection.js';\nimport RenderFeature from '../render/Feature.js';\nimport Units from '../proj/Units.js';\nimport { assert } from '../asserts.js';\nimport { get } from '../proj.js';\nimport { linearRingIsClockwise } from '../geom/flat/orient.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../Feature.js\").FeatureClass} [featureClass] Class for features returned by\n * {@link module:ol/format/MVT~MVT#readFeatures}. Set to {@link module:ol/Feature~Feature} to get full editing and geometry\n * support at the cost of decreased rendering performance. The default is\n * {@link module:ol/render/Feature~RenderFeature}, which is optimized for rendering and hit detection.\n * @property {string} [geometryName='geometry'] Geometry name to use when creating features.\n * @property {string} [layerName='layer'] Name of the feature attribute that holds the layer name.\n * @property {Array<string>} [layers] Layers to read features from. If not provided, features will be read from all\n * @property {string} [idProperty] Optional property that will be assigned as the feature id and removed from the properties.\n * layers.\n */\n/**\n * @classdesc\n * Feature format for reading data in the Mapbox MVT format.\n *\n * @param {Options} [opt_options] Options.\n * @api\n */\nvar MVT = /** @class */ (function (_super) {\n    __extends(MVT, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function MVT(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @type {Projection}\n         */\n        _this.dataProjection = new Projection({\n            code: '',\n            units: Units.TILE_PIXELS,\n        });\n        /**\n         * @private\n         * @type {import(\"../Feature.js\").FeatureClass}\n         */\n        _this.featureClass_ = options.featureClass\n            ? options.featureClass\n            : RenderFeature;\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        _this.geometryName_ = options.geometryName;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.layerName_ = options.layerName ? options.layerName : 'layer';\n        /**\n         * @private\n         * @type {Array<string>}\n         */\n        _this.layers_ = options.layers ? options.layers : null;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.idProperty_ = options.idProperty;\n        _this.supportedMediaTypes = [\n            'application/vnd.mapbox-vector-tile',\n            'application/x-protobuf',\n        ];\n        return _this;\n    }\n    /**\n     * Read the raw geometry from the pbf offset stored in a raw feature's geometry\n     * property.\n     * @param {PBF} pbf PBF.\n     * @param {Object} feature Raw feature.\n     * @param {Array<number>} flatCoordinates Array to store flat coordinates in.\n     * @param {Array<number>} ends Array to store ends in.\n     * @private\n     */\n    MVT.prototype.readRawGeometry_ = function (pbf, feature, flatCoordinates, ends) {\n        pbf.pos = feature.geometry;\n        var end = pbf.readVarint() + pbf.pos;\n        var cmd = 1;\n        var length = 0;\n        var x = 0;\n        var y = 0;\n        var coordsLen = 0;\n        var currentEnd = 0;\n        while (pbf.pos < end) {\n            if (!length) {\n                var cmdLen = pbf.readVarint();\n                cmd = cmdLen & 0x7;\n                length = cmdLen >> 3;\n            }\n            length--;\n            if (cmd === 1 || cmd === 2) {\n                x += pbf.readSVarint();\n                y += pbf.readSVarint();\n                if (cmd === 1) {\n                    // moveTo\n                    if (coordsLen > currentEnd) {\n                        ends.push(coordsLen);\n                        currentEnd = coordsLen;\n                    }\n                }\n                flatCoordinates.push(x, y);\n                coordsLen += 2;\n            }\n            else if (cmd === 7) {\n                if (coordsLen > currentEnd) {\n                    // close polygon\n                    flatCoordinates.push(flatCoordinates[currentEnd], flatCoordinates[currentEnd + 1]);\n                    coordsLen += 2;\n                }\n            }\n            else {\n                assert(false, 59); // Invalid command found in the PBF\n            }\n        }\n        if (coordsLen > currentEnd) {\n            ends.push(coordsLen);\n            currentEnd = coordsLen;\n        }\n    };\n    /**\n     * @private\n     * @param {PBF} pbf PBF\n     * @param {Object} rawFeature Raw Mapbox feature.\n     * @param {import(\"./Feature.js\").ReadOptions} options Read options.\n     * @return {import(\"../Feature.js\").FeatureLike} Feature.\n     */\n    MVT.prototype.createFeature_ = function (pbf, rawFeature, options) {\n        var type = rawFeature.type;\n        if (type === 0) {\n            return null;\n        }\n        var feature;\n        var values = rawFeature.properties;\n        var id;\n        if (!this.idProperty_) {\n            id = rawFeature.id;\n        }\n        else {\n            id = values[this.idProperty_];\n            delete values[this.idProperty_];\n        }\n        values[this.layerName_] = rawFeature.layer.name;\n        var flatCoordinates = [];\n        var ends = [];\n        this.readRawGeometry_(pbf, rawFeature, flatCoordinates, ends);\n        var geometryType = getGeometryType(type, ends.length);\n        if (this.featureClass_ === RenderFeature) {\n            feature = new this.featureClass_(geometryType, flatCoordinates, ends, values, id);\n            feature.transform(options.dataProjection);\n        }\n        else {\n            var geom = void 0;\n            if (geometryType == GeometryType.POLYGON) {\n                var endss = [];\n                var offset = 0;\n                var prevEndIndex = 0;\n                for (var i = 0, ii = ends.length; i < ii; ++i) {\n                    var end = ends[i];\n                    // classifies an array of rings into polygons with outer rings and holes\n                    if (!linearRingIsClockwise(flatCoordinates, offset, end, 2)) {\n                        endss.push(ends.slice(prevEndIndex, i + 1));\n                    }\n                    else {\n                        if (endss.length === 0) {\n                            continue;\n                        }\n                        endss[endss.length - 1].push(ends[prevEndIndex]);\n                    }\n                    prevEndIndex = i + 1;\n                    offset = end;\n                }\n                if (endss.length > 1) {\n                    geom = new MultiPolygon(flatCoordinates, GeometryLayout.XY, endss);\n                }\n                else {\n                    geom = new Polygon(flatCoordinates, GeometryLayout.XY, ends);\n                }\n            }\n            else {\n                geom =\n                    geometryType === GeometryType.POINT\n                        ? new Point(flatCoordinates, GeometryLayout.XY)\n                        : geometryType === GeometryType.LINE_STRING\n                            ? new LineString(flatCoordinates, GeometryLayout.XY)\n                            : geometryType === GeometryType.POLYGON\n                                ? new Polygon(flatCoordinates, GeometryLayout.XY, ends)\n                                : geometryType === GeometryType.MULTI_POINT\n                                    ? new MultiPoint(flatCoordinates, GeometryLayout.XY)\n                                    : geometryType === GeometryType.MULTI_LINE_STRING\n                                        ? new MultiLineString(flatCoordinates, GeometryLayout.XY, ends)\n                                        : null;\n            }\n            var ctor = /** @type {typeof import(\"../Feature.js\").default} */ (this.featureClass_);\n            feature = new ctor();\n            if (this.geometryName_) {\n                feature.setGeometryName(this.geometryName_);\n            }\n            var geometry = transformGeometryWithOptions(geom, false, options);\n            feature.setGeometry(geometry);\n            feature.setId(id);\n            feature.setProperties(values, true);\n        }\n        return feature;\n    };\n    /**\n     * @return {import(\"./FormatType.js\").default} Format.\n     */\n    MVT.prototype.getType = function () {\n        return FormatType.ARRAY_BUFFER;\n    };\n    /**\n     * Read all features.\n     *\n     * @param {ArrayBuffer} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {Array<import(\"../Feature.js\").FeatureLike>} Features.\n     * @api\n     */\n    MVT.prototype.readFeatures = function (source, opt_options) {\n        var layers = this.layers_;\n        var options = /** @type {import(\"./Feature.js\").ReadOptions} */ (this.adaptOptions(opt_options));\n        var dataProjection = get(options.dataProjection);\n        dataProjection.setWorldExtent(options.extent);\n        options.dataProjection = dataProjection;\n        var pbf = new PBF(/** @type {ArrayBuffer} */ (source));\n        var pbfLayers = pbf.readFields(layersPBFReader, {});\n        var features = [];\n        for (var name_1 in pbfLayers) {\n            if (layers && layers.indexOf(name_1) == -1) {\n                continue;\n            }\n            var pbfLayer = pbfLayers[name_1];\n            var extent = pbfLayer ? [0, 0, pbfLayer.extent, pbfLayer.extent] : null;\n            dataProjection.setExtent(extent);\n            for (var i = 0, ii = pbfLayer.length; i < ii; ++i) {\n                var rawFeature = readRawFeature(pbf, pbfLayer, i);\n                features.push(this.createFeature_(pbf, rawFeature, options));\n            }\n        }\n        return features;\n    };\n    /**\n     * Read the projection from the source.\n     *\n     * @param {Document|Element|Object|string} source Source.\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     * @api\n     */\n    MVT.prototype.readProjection = function (source) {\n        return this.dataProjection;\n    };\n    /**\n     * Sets the layers that features will be read from.\n     * @param {Array<string>} layers Layers.\n     * @api\n     */\n    MVT.prototype.setLayers = function (layers) {\n        this.layers_ = layers;\n    };\n    return MVT;\n}(FeatureFormat));\n/**\n * Reader callback for parsing layers.\n * @param {number} tag The tag.\n * @param {Object} layers The layers object.\n * @param {PBF} pbf The PBF.\n */\nfunction layersPBFReader(tag, layers, pbf) {\n    if (tag === 3) {\n        var layer = {\n            keys: [],\n            values: [],\n            features: [],\n        };\n        var end = pbf.readVarint() + pbf.pos;\n        pbf.readFields(layerPBFReader, layer, end);\n        layer.length = layer.features.length;\n        if (layer.length) {\n            layers[layer.name] = layer;\n        }\n    }\n}\n/**\n * Reader callback for parsing layer.\n * @param {number} tag The tag.\n * @param {Object} layer The layer object.\n * @param {PBF} pbf The PBF.\n */\nfunction layerPBFReader(tag, layer, pbf) {\n    if (tag === 15) {\n        layer.version = pbf.readVarint();\n    }\n    else if (tag === 1) {\n        layer.name = pbf.readString();\n    }\n    else if (tag === 5) {\n        layer.extent = pbf.readVarint();\n    }\n    else if (tag === 2) {\n        layer.features.push(pbf.pos);\n    }\n    else if (tag === 3) {\n        layer.keys.push(pbf.readString());\n    }\n    else if (tag === 4) {\n        var value = null;\n        var end = pbf.readVarint() + pbf.pos;\n        while (pbf.pos < end) {\n            tag = pbf.readVarint() >> 3;\n            value =\n                tag === 1\n                    ? pbf.readString()\n                    : tag === 2\n                        ? pbf.readFloat()\n                        : tag === 3\n                            ? pbf.readDouble()\n                            : tag === 4\n                                ? pbf.readVarint64()\n                                : tag === 5\n                                    ? pbf.readVarint()\n                                    : tag === 6\n                                        ? pbf.readSVarint()\n                                        : tag === 7\n                                            ? pbf.readBoolean()\n                                            : null;\n        }\n        layer.values.push(value);\n    }\n}\n/**\n * Reader callback for parsing feature.\n * @param {number} tag The tag.\n * @param {Object} feature The feature object.\n * @param {PBF} pbf The PBF.\n */\nfunction featurePBFReader(tag, feature, pbf) {\n    if (tag == 1) {\n        feature.id = pbf.readVarint();\n    }\n    else if (tag == 2) {\n        var end = pbf.readVarint() + pbf.pos;\n        while (pbf.pos < end) {\n            var key = feature.layer.keys[pbf.readVarint()];\n            var value = feature.layer.values[pbf.readVarint()];\n            feature.properties[key] = value;\n        }\n    }\n    else if (tag == 3) {\n        feature.type = pbf.readVarint();\n    }\n    else if (tag == 4) {\n        feature.geometry = pbf.pos;\n    }\n}\n/**\n * Read a raw feature from the pbf offset stored at index `i` in the raw layer.\n * @param {PBF} pbf PBF.\n * @param {Object} layer Raw layer.\n * @param {number} i Index of the feature in the raw layer's `features` array.\n * @return {Object} Raw feature.\n */\nfunction readRawFeature(pbf, layer, i) {\n    pbf.pos = layer.features[i];\n    var end = pbf.readVarint() + pbf.pos;\n    var feature = {\n        layer: layer,\n        type: 0,\n        properties: {},\n    };\n    pbf.readFields(featurePBFReader, feature, end);\n    return feature;\n}\n/**\n * @param {number} type The raw feature's geometry type\n * @param {number} numEnds Number of ends of the flat coordinates of the\n * geometry.\n * @return {import(\"../geom/GeometryType.js\").default} The geometry type.\n */\nfunction getGeometryType(type, numEnds) {\n    /** @type {import(\"../geom/GeometryType.js\").default} */\n    var geometryType;\n    if (type === 1) {\n        geometryType =\n            numEnds === 1 ? GeometryType.POINT : GeometryType.MULTI_POINT;\n    }\n    else if (type === 2) {\n        geometryType =\n            numEnds === 1 ? GeometryType.LINE_STRING : GeometryType.MULTI_LINE_STRING;\n    }\n    else if (type === 3) {\n        geometryType = GeometryType.POLYGON;\n        // MultiPolygon not relevant for rendering - winding order determines\n        // outer rings of polygons.\n    }\n    return geometryType;\n}\nexport default MVT;\n//# sourceMappingURL=MVT.js.map","/**\n * @module ol/webgl\n */\nimport { assign } from './obj.js';\n/**\n * Constants taken from goog.webgl\n */\n/**\n * Used by {@link module:ol/webgl/Helper~WebGLHelper} for buffers containing vertices data, such as\n * position, color, texture coordinate, etc. These vertices are then referenced by an index buffer\n * to be drawn on screen (see {@link module:ol/webgl.ELEMENT_ARRAY_BUFFER}).\n * @const\n * @type {number}\n * @api\n */\nexport var ARRAY_BUFFER = 0x8892;\n/**\n * Used by {@link module:ol/webgl/Helper~WebGLHelper} for buffers containing indices data.\n * Index buffers are essentially lists of references to vertices defined in a vertex buffer\n * (see {@link module:ol/webgl.ARRAY_BUFFER}), and define the primitives (triangles) to be drawn.\n * @const\n * @type {number}\n * @api\n */\nexport var ELEMENT_ARRAY_BUFFER = 0x8893;\n/**\n * Used by {link module:ol/webgl/Buffer~WebGLArrayBuffer}.\n * @const\n * @type {number}\n * @api\n */\nexport var STREAM_DRAW = 0x88e0;\n/**\n * Used by {link module:ol/webgl/Buffer~WebGLArrayBuffer}.\n * @const\n * @type {number}\n * @api\n */\nexport var STATIC_DRAW = 0x88e4;\n/**\n * Used by {link module:ol/webgl/Buffer~WebGLArrayBuffer}.\n * @const\n * @type {number}\n * @api\n */\nexport var DYNAMIC_DRAW = 0x88e8;\n/**\n * @const\n * @type {number}\n */\nexport var UNSIGNED_BYTE = 0x1401;\n/**\n * @const\n * @type {number}\n */\nexport var UNSIGNED_SHORT = 0x1403;\n/**\n * @const\n * @type {number}\n */\nexport var UNSIGNED_INT = 0x1405;\n/**\n * @const\n * @type {number}\n */\nexport var FLOAT = 0x1406;\n/** end of goog.webgl constants\n */\n/**\n * @const\n * @type {Array<string>}\n */\nvar CONTEXT_IDS = ['experimental-webgl', 'webgl', 'webkit-3d', 'moz-webgl'];\n/**\n * @param {HTMLCanvasElement} canvas Canvas.\n * @param {Object} [opt_attributes] Attributes.\n * @return {WebGLRenderingContext} WebGL rendering context.\n */\nexport function getContext(canvas, opt_attributes) {\n    var attributes = assign({ preserveDrawingBuffer: true }, opt_attributes);\n    var ii = CONTEXT_IDS.length;\n    for (var i = 0; i < ii; ++i) {\n        try {\n            var context = canvas.getContext(CONTEXT_IDS[i], attributes);\n            if (context) {\n                return /** @type {!WebGLRenderingContext} */ (context);\n            }\n        }\n        catch (e) {\n            // pass\n        }\n    }\n    return null;\n}\n/**\n * @type {Array<string>}\n */\nvar supportedExtensions;\n/**\n * @return {Array<string>} List of supported WebGL extensions.\n */\nexport function getSupportedExtensions() {\n    if (!supportedExtensions) {\n        var canvas = document.createElement('canvas');\n        var gl = getContext(canvas);\n        if (gl) {\n            supportedExtensions = gl.getSupportedExtensions();\n        }\n    }\n    return supportedExtensions;\n}\n//# sourceMappingURL=webgl.js.map","/**\n * @module ol/webgl/Buffer\n */\nimport { ARRAY_BUFFER, ELEMENT_ARRAY_BUFFER } from '../webgl.js';\nimport { DYNAMIC_DRAW, STATIC_DRAW, STREAM_DRAW } from '../webgl.js';\nimport { assert } from '../asserts.js';\n/**\n * Used to describe the intended usage for the data: `STATIC_DRAW`, `STREAM_DRAW`\n * or `DYNAMIC_DRAW`.\n * @enum {number}\n */\nexport var BufferUsage = {\n    STATIC_DRAW: STATIC_DRAW,\n    STREAM_DRAW: STREAM_DRAW,\n    DYNAMIC_DRAW: DYNAMIC_DRAW,\n};\n/**\n * @classdesc\n * Object used to store an array of data as well as usage information for that data.\n * Stores typed arrays internally, either Float32Array or Uint16/32Array depending on\n * the buffer type (ARRAY_BUFFER or ELEMENT_ARRAY_BUFFER) and available extensions.\n *\n * To populate the array, you can either use:\n * * A size using `#ofSize(buffer)`\n * * An `ArrayBuffer` object using `#fromArrayBuffer(buffer)`\n * * A plain array using `#fromArray(array)`\n *\n * Note:\n * See the documentation of [WebGLRenderingContext.bufferData](https://developer.mozilla.org/en-US/docs/Web/API/WebGLRenderingContext/bufferData)\n * for more info on buffer usage.\n * @api\n */\nvar WebGLArrayBuffer = /** @class */ (function () {\n    /**\n     * @param {number} type Buffer type, either ARRAY_BUFFER or ELEMENT_ARRAY_BUFFER.\n     * @param {number} [opt_usage] Intended usage, either `STATIC_DRAW`, `STREAM_DRAW` or `DYNAMIC_DRAW`.\n     * Default is `DYNAMIC_DRAW`.\n     */\n    function WebGLArrayBuffer(type, opt_usage) {\n        /**\n         * @private\n         * @type {Float32Array|Uint32Array}\n         */\n        this.array = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.type = type;\n        assert(type === ARRAY_BUFFER || type === ELEMENT_ARRAY_BUFFER, 62);\n        /**\n         * @private\n         * @type {number}\n         */\n        this.usage = opt_usage !== undefined ? opt_usage : BufferUsage.STATIC_DRAW;\n    }\n    /**\n     * Populates the buffer with an array of the given size (all values will be zeroes).\n     * @param {number} size Array size\n     */\n    WebGLArrayBuffer.prototype.ofSize = function (size) {\n        this.array = new (getArrayClassForType(this.type))(size);\n    };\n    /**\n     * Populates the buffer with an array of the given size (all values will be zeroes).\n     * @param {Array<number>} array Numerical array\n     */\n    WebGLArrayBuffer.prototype.fromArray = function (array) {\n        var arrayClass = getArrayClassForType(this.type);\n        this.array = arrayClass.from\n            ? arrayClass.from(array)\n            : new arrayClass(array);\n    };\n    /**\n     * Populates the buffer with a raw binary array buffer.\n     * @param {ArrayBuffer} buffer Raw binary buffer to populate the array with. Note that this buffer must have been\n     * initialized for the same typed array class.\n     */\n    WebGLArrayBuffer.prototype.fromArrayBuffer = function (buffer) {\n        this.array = new (getArrayClassForType(this.type))(buffer);\n    };\n    /**\n     * @return {number} Buffer type.\n     */\n    WebGLArrayBuffer.prototype.getType = function () {\n        return this.type;\n    };\n    /**\n     * Will return null if the buffer was not initialized\n     * @return {Float32Array|Uint32Array} Array.\n     */\n    WebGLArrayBuffer.prototype.getArray = function () {\n        return this.array;\n    };\n    /**\n     * @return {number} Usage.\n     */\n    WebGLArrayBuffer.prototype.getUsage = function () {\n        return this.usage;\n    };\n    /**\n     * Will return 0 if the buffer is not initialized\n     * @return {number} Array size\n     */\n    WebGLArrayBuffer.prototype.getSize = function () {\n        return this.array ? this.array.length : 0;\n    };\n    return WebGLArrayBuffer;\n}());\n/**\n * Returns a typed array constructor based on the given buffer type\n * @param {number} type Buffer type, either ARRAY_BUFFER or ELEMENT_ARRAY_BUFFER.\n * @return {Float32ArrayConstructor|Uint32ArrayConstructor} The typed array class to use for this buffer.\n */\nexport function getArrayClassForType(type) {\n    switch (type) {\n        case ARRAY_BUFFER:\n            return Float32Array;\n        case ELEMENT_ARRAY_BUFFER:\n            return Uint32Array;\n        default:\n            return Float32Array;\n    }\n}\nexport default WebGLArrayBuffer;\n//# sourceMappingURL=Buffer.js.map","/**\n * @module ol/webgl/ContextEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    LOST: 'webglcontextlost',\n    RESTORED: 'webglcontextrestored',\n};\n//# sourceMappingURL=ContextEventType.js.map","/**\n * @module ol/webgl/PostProcessingPass\n */\nimport { getUid } from '../util.js';\nvar DEFAULT_VERTEX_SHADER = \"\\n  precision mediump float;\\n  \\n  attribute vec2 a_position;\\n  varying vec2 v_texCoord;\\n  varying vec2 v_screenCoord;\\n  \\n  uniform vec2 u_screenSize;\\n   \\n  void main() {\\n    v_texCoord = a_position * 0.5 + 0.5;\\n    v_screenCoord = v_texCoord * u_screenSize;\\n    gl_Position = vec4(a_position, 0.0, 1.0);\\n  }\\n\";\nvar DEFAULT_FRAGMENT_SHADER = \"\\n  precision mediump float;\\n   \\n  uniform sampler2D u_image;\\n  uniform float u_opacity;\\n   \\n  varying vec2 v_texCoord;\\n   \\n  void main() {\\n    gl_FragColor = texture2D(u_image, v_texCoord) * u_opacity;\\n  }\\n\";\n/**\n * @typedef {Object} Options\n * @property {WebGLRenderingContext} webGlContext WebGL context; mandatory.\n * @property {number} [scaleRatio] Scale ratio; if < 1, the post process will render to a texture smaller than\n * the main canvas that will then be sampled up (useful for saving resource on blur steps).\n * @property {string} [vertexShader] Vertex shader source\n * @property {string} [fragmentShader] Fragment shader source\n * @property {Object<string,import(\"./Helper\").UniformValue>} [uniforms] Uniform definitions for the post process step\n */\n/**\n * @typedef {Object} UniformInternalDescription\n * @property {import(\"./Helper\").UniformValue} value Value\n * @property {number} location Location\n * @property {WebGLTexture} [texture] Texture\n * @private\n */\n/**\n * @classdesc\n * This class is used to define Post Processing passes with custom shaders and uniforms.\n * This is used internally by {@link module:ol/webgl/Helper~WebGLHelper}.\n *\n * Please note that the final output on the DOM canvas is expected to have premultiplied alpha, which means that\n * a pixel which is 100% red with an opacity of 50% must have a color of (r=0.5, g=0, b=0, a=0.5).\n * Failing to provide pixel colors with premultiplied alpha will result in render anomalies.\n *\n * The default post-processing pass does *not* multiply color values with alpha value, it expects color values to be\n * premultiplied.\n *\n * Default shaders are shown hereafter:\n *\n * * Vertex shader:\n *\n *   ```\n *   precision mediump float;\n *\n *   attribute vec2 a_position;\n *   varying vec2 v_texCoord;\n *   varying vec2 v_screenCoord;\n *\n *   uniform vec2 u_screenSize;\n *\n *   void main() {\n *     v_texCoord = a_position * 0.5 + 0.5;\n *     v_screenCoord = v_texCoord * u_screenSize;\n *     gl_Position = vec4(a_position, 0.0, 1.0);\n *   }\n *   ```\n *\n * * Fragment shader:\n *\n *   ```\n *   precision mediump float;\n *\n *   uniform sampler2D u_image;\n *   uniform float u_opacity;\n *\n *   varying vec2 v_texCoord;\n *\n *   void main() {\n *     gl_FragColor = texture2D(u_image, v_texCoord) * u_opacity;\n *   }\n *   ```\n *\n * @api\n */\nvar WebGLPostProcessingPass = /** @class */ (function () {\n    /**\n     * @param {Options} options Options.\n     */\n    function WebGLPostProcessingPass(options) {\n        this.gl_ = options.webGlContext;\n        var gl = this.gl_;\n        this.scaleRatio_ = options.scaleRatio || 1;\n        this.renderTargetTexture_ = gl.createTexture();\n        this.renderTargetTextureSize_ = null;\n        this.frameBuffer_ = gl.createFramebuffer();\n        // compile the program for the frame buffer\n        // TODO: make compilation errors show up\n        var vertexShader = gl.createShader(gl.VERTEX_SHADER);\n        gl.shaderSource(vertexShader, options.vertexShader || DEFAULT_VERTEX_SHADER);\n        gl.compileShader(vertexShader);\n        var fragmentShader = gl.createShader(gl.FRAGMENT_SHADER);\n        gl.shaderSource(fragmentShader, options.fragmentShader || DEFAULT_FRAGMENT_SHADER);\n        gl.compileShader(fragmentShader);\n        this.renderTargetProgram_ = gl.createProgram();\n        gl.attachShader(this.renderTargetProgram_, vertexShader);\n        gl.attachShader(this.renderTargetProgram_, fragmentShader);\n        gl.linkProgram(this.renderTargetProgram_);\n        // bind the vertices buffer for the frame buffer\n        this.renderTargetVerticesBuffer_ = gl.createBuffer();\n        var verticesArray = [-1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1];\n        gl.bindBuffer(gl.ARRAY_BUFFER, this.renderTargetVerticesBuffer_);\n        gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(verticesArray), gl.STATIC_DRAW);\n        this.renderTargetAttribLocation_ = gl.getAttribLocation(this.renderTargetProgram_, 'a_position');\n        this.renderTargetUniformLocation_ = gl.getUniformLocation(this.renderTargetProgram_, 'u_screenSize');\n        this.renderTargetOpacityLocation_ = gl.getUniformLocation(this.renderTargetProgram_, 'u_opacity');\n        this.renderTargetTextureLocation_ = gl.getUniformLocation(this.renderTargetProgram_, 'u_image');\n        /**\n         * Holds info about custom uniforms used in the post processing pass\n         * @type {Array<UniformInternalDescription>}\n         * @private\n         */\n        this.uniforms_ = [];\n        options.uniforms &&\n            Object.keys(options.uniforms).forEach(function (name) {\n                this.uniforms_.push({\n                    value: options.uniforms[name],\n                    location: gl.getUniformLocation(this.renderTargetProgram_, name),\n                });\n            }.bind(this));\n    }\n    /**\n     * Get the WebGL rendering context\n     * @return {WebGLRenderingContext} The rendering context.\n     * @api\n     */\n    WebGLPostProcessingPass.prototype.getGL = function () {\n        return this.gl_;\n    };\n    /**\n     * Initialize the render target texture of the post process, make sure it is at the\n     * right size and bind it as a render target for the next draw calls.\n     * The last step to be initialized will be the one where the primitives are rendered.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState current frame state\n     * @api\n     */\n    WebGLPostProcessingPass.prototype.init = function (frameState) {\n        var gl = this.getGL();\n        var textureSize = [\n            gl.drawingBufferWidth * this.scaleRatio_,\n            gl.drawingBufferHeight * this.scaleRatio_,\n        ];\n        // rendering goes to my buffer\n        gl.bindFramebuffer(gl.FRAMEBUFFER, this.getFrameBuffer());\n        gl.viewport(0, 0, textureSize[0], textureSize[1]);\n        // if size has changed: adjust canvas & render target texture\n        if (!this.renderTargetTextureSize_ ||\n            this.renderTargetTextureSize_[0] !== textureSize[0] ||\n            this.renderTargetTextureSize_[1] !== textureSize[1]) {\n            this.renderTargetTextureSize_ = textureSize;\n            // create a new texture\n            var level = 0;\n            var internalFormat = gl.RGBA;\n            var border = 0;\n            var format = gl.RGBA;\n            var type = gl.UNSIGNED_BYTE;\n            var data = null;\n            gl.bindTexture(gl.TEXTURE_2D, this.renderTargetTexture_);\n            gl.texImage2D(gl.TEXTURE_2D, level, internalFormat, textureSize[0], textureSize[1], border, format, type, data);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n            // bind the texture to the framebuffer\n            gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, this.renderTargetTexture_, 0);\n        }\n    };\n    /**\n     * Render to the next postprocessing pass (or to the canvas if final pass).\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState current frame state\n     * @param {WebGLPostProcessingPass} [nextPass] Next pass, optional\n     * @param {function(WebGLRenderingContext, import(\"../PluggableMap.js\").FrameState):void} [preCompose] Called before composing.\n     * @param {function(WebGLRenderingContext, import(\"../PluggableMap.js\").FrameState):void} [postCompose] Called before composing.\n     * @api\n     */\n    WebGLPostProcessingPass.prototype.apply = function (frameState, nextPass, preCompose, postCompose) {\n        var gl = this.getGL();\n        var size = frameState.size;\n        gl.bindFramebuffer(gl.FRAMEBUFFER, nextPass ? nextPass.getFrameBuffer() : null);\n        gl.activeTexture(gl.TEXTURE0);\n        gl.bindTexture(gl.TEXTURE_2D, this.renderTargetTexture_);\n        if (!nextPass) {\n            // clear the canvas if we are the first to render to it\n            // and preserveDrawingBuffer is true\n            var canvasId = getUid(gl.canvas);\n            if (!frameState.renderTargets[canvasId]) {\n                var attributes = gl.getContextAttributes();\n                if (attributes && attributes.preserveDrawingBuffer) {\n                    gl.clearColor(0.0, 0.0, 0.0, 0.0);\n                    gl.clear(gl.COLOR_BUFFER_BIT);\n                }\n                frameState.renderTargets[canvasId] = true;\n            }\n        }\n        gl.enable(gl.BLEND);\n        gl.blendFunc(gl.ONE, gl.ONE_MINUS_SRC_ALPHA);\n        gl.viewport(0, 0, gl.drawingBufferWidth, gl.drawingBufferHeight);\n        gl.bindBuffer(gl.ARRAY_BUFFER, this.renderTargetVerticesBuffer_);\n        gl.useProgram(this.renderTargetProgram_);\n        gl.enableVertexAttribArray(this.renderTargetAttribLocation_);\n        gl.vertexAttribPointer(this.renderTargetAttribLocation_, 2, gl.FLOAT, false, 0, 0);\n        gl.uniform2f(this.renderTargetUniformLocation_, size[0], size[1]);\n        gl.uniform1i(this.renderTargetTextureLocation_, 0);\n        var opacity = frameState.layerStatesArray[frameState.layerIndex].opacity;\n        gl.uniform1f(this.renderTargetOpacityLocation_, opacity);\n        this.applyUniforms(frameState);\n        if (preCompose) {\n            preCompose(gl, frameState);\n        }\n        gl.drawArrays(gl.TRIANGLES, 0, 6);\n        if (postCompose) {\n            postCompose(gl, frameState);\n        }\n    };\n    /**\n     * @return {WebGLFramebuffer} Frame buffer\n     * @api\n     */\n    WebGLPostProcessingPass.prototype.getFrameBuffer = function () {\n        return this.frameBuffer_;\n    };\n    /**\n     * Sets the custom uniforms based on what was given in the constructor.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @private\n     */\n    WebGLPostProcessingPass.prototype.applyUniforms = function (frameState) {\n        var gl = this.getGL();\n        var value;\n        var textureSlot = 1;\n        this.uniforms_.forEach(function (uniform) {\n            value =\n                typeof uniform.value === 'function'\n                    ? uniform.value(frameState)\n                    : uniform.value;\n            // apply value based on type\n            if (value instanceof HTMLCanvasElement || value instanceof ImageData) {\n                // create a texture & put data\n                if (!uniform.texture) {\n                    uniform.texture = gl.createTexture();\n                }\n                gl.activeTexture(gl[\"TEXTURE\" + textureSlot]);\n                gl.bindTexture(gl.TEXTURE_2D, uniform.texture);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n                if (value instanceof ImageData) {\n                    gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, value.width, value.height, 0, gl.UNSIGNED_BYTE, new Uint8Array(value.data));\n                }\n                else {\n                    gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, value);\n                }\n                // fill texture slots\n                gl.uniform1i(uniform.location, textureSlot++);\n            }\n            else if (Array.isArray(value)) {\n                switch (value.length) {\n                    case 2:\n                        gl.uniform2f(uniform.location, value[0], value[1]);\n                        return;\n                    case 3:\n                        gl.uniform3f(uniform.location, value[0], value[1], value[2]);\n                        return;\n                    case 4:\n                        gl.uniform4f(uniform.location, value[0], value[1], value[2], value[3]);\n                        return;\n                    default:\n                        return;\n                }\n            }\n            else if (typeof value === 'number') {\n                gl.uniform1f(uniform.location, value);\n            }\n        });\n    };\n    return WebGLPostProcessingPass;\n}());\nexport default WebGLPostProcessingPass;\n//# sourceMappingURL=PostProcessingPass.js.map","/**\n * @module ol/vec/mat4\n */\n/**\n * @return {Array<number>} \"4x4 matrix representing a 3D identity transform.\"\n */\nexport function create() {\n    return [1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1];\n}\n/**\n * @param {Array<number>} mat4 Flattened 4x4 matrix receiving the result.\n * @param {import(\"../transform.js\").Transform} transform Transformation matrix.\n * @return {Array<number>} \"2D transformation matrix as flattened 4x4 matrix.\"\n */\nexport function fromTransform(mat4, transform) {\n    mat4[0] = transform[0];\n    mat4[1] = transform[1];\n    mat4[4] = transform[2];\n    mat4[5] = transform[3];\n    mat4[12] = transform[4];\n    mat4[13] = transform[5];\n    return mat4;\n}\n//# sourceMappingURL=mat4.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/webgl/Helper\n */\nimport ContextEventType from '../webgl/ContextEventType.js';\nimport Disposable from '../Disposable.js';\nimport WebGLPostProcessingPass from './PostProcessingPass.js';\nimport { FLOAT, UNSIGNED_BYTE, UNSIGNED_INT, UNSIGNED_SHORT, getContext, } from '../webgl.js';\nimport { clear } from '../obj.js';\nimport { compose as composeTransform, create as createTransform, reset as resetTransform, rotate as rotateTransform, scale as scaleTransform, } from '../transform.js';\nimport { create, fromTransform } from '../vec/mat4.js';\nimport { getUid } from '../util.js';\n/**\n * @typedef {Object} BufferCacheEntry\n * @property {import(\"./Buffer.js\").default} buffer Buffer.\n * @property {WebGLBuffer} webGlBuffer WebGlBuffer.\n */\n/**\n * Shader types, either `FRAGMENT_SHADER` or `VERTEX_SHADER`.\n * @enum {number}\n */\nexport var ShaderType = {\n    FRAGMENT_SHADER: 0x8b30,\n    VERTEX_SHADER: 0x8b31,\n};\n/**\n * Uniform names used in the default shaders: `PROJECTION_MATRIX`, `OFFSET_SCALE_MATRIX`.\n * and `OFFSET_ROTATION_MATRIX`.\n * @enum {string}\n */\nexport var DefaultUniform = {\n    PROJECTION_MATRIX: 'u_projectionMatrix',\n    OFFSET_SCALE_MATRIX: 'u_offsetScaleMatrix',\n    OFFSET_ROTATION_MATRIX: 'u_offsetRotateMatrix',\n    TIME: 'u_time',\n    ZOOM: 'u_zoom',\n    RESOLUTION: 'u_resolution',\n};\n/**\n * Attribute types, either `UNSIGNED_BYTE`, `UNSIGNED_SHORT`, `UNSIGNED_INT` or `FLOAT`\n * Note: an attribute stored in a `Float32Array` should be of type `FLOAT`.\n * @enum {number}\n */\nexport var AttributeType = {\n    UNSIGNED_BYTE: UNSIGNED_BYTE,\n    UNSIGNED_SHORT: UNSIGNED_SHORT,\n    UNSIGNED_INT: UNSIGNED_INT,\n    FLOAT: FLOAT,\n};\n/**\n * Description of an attribute in a buffer\n * @typedef {Object} AttributeDescription\n * @property {string} name Attribute name to use in shaders\n * @property {number} size Number of components per attributes\n * @property {AttributeType} [type] Attribute type, i.e. number of bytes used to store the value. This is\n * determined by the class of typed array which the buffer uses (eg. `Float32Array` for a `FLOAT` attribute).\n * Default is `FLOAT`.\n */\n/**\n * @typedef {number|Array<number>|HTMLCanvasElement|HTMLImageElement|ImageData|import(\"../transform\").Transform} UniformLiteralValue\n */\n/**\n * Uniform value can be a number, array of numbers (2 to 4), canvas element or a callback returning\n * one of the previous types.\n * @typedef {UniformLiteralValue|function(import(\"../PluggableMap.js\").FrameState):UniformLiteralValue} UniformValue\n */\n/**\n * @typedef {Object} PostProcessesOptions\n * @property {number} [scaleRatio] Scale ratio; if < 1, the post process will render to a texture smaller than\n * the main canvas which will then be sampled up (useful for saving resource on blur steps).\n * @property {string} [vertexShader] Vertex shader source\n * @property {string} [fragmentShader] Fragment shader source\n * @property {Object<string,UniformValue>} [uniforms] Uniform definitions for the post process step\n */\n/**\n * @typedef {Object} Options\n * @property {Object<string,UniformValue>} [uniforms] Uniform definitions; property names must match the uniform\n * names in the provided or default shaders.\n * @property {Array<PostProcessesOptions>} [postProcesses] Post-processes definitions\n * @property {string} [canvasCacheKey] The cache key for the canvas.\n */\n/**\n * @typedef {Object} UniformInternalDescription\n * @property {string} name Name\n * @property {UniformValue} [value] Value\n * @property {WebGLTexture} [texture] Texture\n * @private\n */\n/**\n * @typedef {Object} CanvasCacheItem\n * @property {HTMLCanvasElement} canvas Canvas element.\n * @property {number} users The count of users of this canvas.\n */\n/**\n * @type {Object<string,CanvasCacheItem>}\n */\nvar canvasCache = {};\n/**\n * @param {string} key The cache key for the canvas.\n * @return {string} The shared cache key.\n */\nfunction getSharedCanvasCacheKey(key) {\n    return 'shared/' + key;\n}\nvar uniqueCanvasCacheKeyCount = 0;\n/**\n * @return {string} The unique cache key.\n */\nfunction getUniqueCanvasCacheKey() {\n    var key = 'unique/' + uniqueCanvasCacheKeyCount;\n    uniqueCanvasCacheKeyCount += 1;\n    return key;\n}\n/**\n * @param {string} key The cache key for the canvas.\n * @return {HTMLCanvasElement} The canvas.\n */\nfunction getCanvas(key) {\n    var cacheItem = canvasCache[key];\n    if (!cacheItem) {\n        var canvas = document.createElement('canvas');\n        canvas.style.position = 'absolute';\n        canvas.style.left = '0';\n        cacheItem = { users: 0, canvas: canvas };\n        canvasCache[key] = cacheItem;\n    }\n    cacheItem.users += 1;\n    return cacheItem.canvas;\n}\n/**\n * @param {string} key The cache key for the canvas.\n */\nfunction releaseCanvas(key) {\n    var cacheItem = canvasCache[key];\n    if (!cacheItem) {\n        return;\n    }\n    cacheItem.users -= 1;\n    if (cacheItem.users > 0) {\n        return;\n    }\n    var canvas = cacheItem.canvas;\n    var gl = getContext(canvas);\n    var extension = gl.getExtension('WEBGL_lose_context');\n    if (extension) {\n        extension.loseContext();\n    }\n    delete canvasCache[key];\n}\n/**\n * @classdesc\n * This class is intended to provide low-level functions related to WebGL rendering, so that accessing\n * directly the WebGL API should not be required anymore.\n *\n * Several operations are handled by the `WebGLHelper` class:\n *\n * ### Define custom shaders and uniforms\n *\n *   *Shaders* are low-level programs executed on the GPU and written in GLSL. There are two types of shaders:\n *\n *   Vertex shaders are used to manipulate the position and attribute of *vertices* of rendered primitives (ie. corners of a square).\n *   Outputs are:\n *\n *   * `gl_Position`: position of the vertex in screen space\n *\n *   * Varyings usually prefixed with `v_` are passed on to the fragment shader\n *\n *   Fragment shaders are used to control the actual color of the pixels drawn on screen. Their only output is `gl_FragColor`.\n *\n *   Both shaders can take *uniforms* or *attributes* as input. Attributes are explained later. Uniforms are common, read-only values that\n *   can be changed at every frame and can be of type float, arrays of float or images.\n *\n *   Shaders must be compiled and assembled into a program like so:\n *   ```js\n *   // here we simply create two shaders and assemble them in a program which is then used\n *   // for subsequent rendering calls\n *   const vertexShader = new WebGLVertex(VERTEX_SHADER);\n *   const fragmentShader = new WebGLFragment(FRAGMENT_SHADER);\n *   const program = this.context.getProgram(fragmentShader, vertexShader);\n *   helper.useProgram(this.program);\n *   ```\n *\n *   Uniforms are defined using the `uniforms` option and can either be explicit values or callbacks taking the frame state as argument.\n *   You can also change their value along the way like so:\n *   ```js\n *   helper.setUniformFloatValue('u_value', valueAsNumber);\n *   ```\n *\n * ### Defining post processing passes\n *\n *   *Post processing* describes the act of rendering primitives to a texture, and then rendering this texture to the final canvas\n *   while applying special effects in screen space.\n *   Typical uses are: blurring, color manipulation, depth of field, filtering...\n *\n *   The `WebGLHelper` class offers the possibility to define post processes at creation time using the `postProcesses` option.\n *   A post process step accepts the following options:\n *\n *   * `fragmentShader` and `vertexShader`: text literals in GLSL language that will be compiled and used in the post processing step.\n *   * `uniforms`: uniforms can be defined for the post processing steps just like for the main render.\n *   * `scaleRatio`: allows using an intermediate texture smaller or higher than the final canvas in the post processing step.\n *     This is typically used in blur steps to reduce the performance overhead by using an already downsampled texture as input.\n *\n *   The {@link module:ol/webgl/PostProcessingPass~WebGLPostProcessingPass} class is used internally, refer to its documentation for more info.\n *\n * ### Binding WebGL buffers and flushing data into them\n *\n *   Data that must be passed to the GPU has to be transferred using {@link module:ol/webgl/Buffer~WebGLArrayBuffer} objects.\n *   A buffer has to be created only once, but must be bound every time the buffer content will be used for rendering.\n *   This is done using {@link bindBuffer}.\n *   When the buffer's array content has changed, the new data has to be flushed to the GPU memory; this is done using\n *   {@link flushBufferData}. Note: this operation is expensive and should be done as infrequently as possible.\n *\n *   When binding an array buffer, a `target` parameter must be given: it should be either {@link module:ol/webgl.ARRAY_BUFFER}\n *   (if the buffer contains vertices data) or {@link module:ol/webgl.ELEMENT_ARRAY_BUFFER} (if the buffer contains indices data).\n *\n *   Examples below:\n *   ```js\n *   // at initialization phase\n *   const verticesBuffer = new WebGLArrayBuffer([], DYNAMIC_DRAW);\n *   const indicesBuffer = new WebGLArrayBuffer([], DYNAMIC_DRAW);\n *\n *   // when array values have changed\n *   helper.flushBufferData(ARRAY_BUFFER, this.verticesBuffer);\n *   helper.flushBufferData(ELEMENT_ARRAY_BUFFER, this.indicesBuffer);\n *\n *   // at rendering phase\n *   helper.bindBuffer(ARRAY_BUFFER, this.verticesBuffer);\n *   helper.bindBuffer(ELEMENT_ARRAY_BUFFER, this.indicesBuffer);\n *   ```\n *\n * ### Specifying attributes\n *\n *   The GPU only receives the data as arrays of numbers. These numbers must be handled differently depending on what it describes (position, texture coordinate...).\n *   Attributes are used to specify these uses. Use {@link enableAttributeArray_} and either\n *   the default attribute names in {@link module:ol/webgl/Helper.DefaultAttrib} or custom ones.\n *\n *   Please note that you will have to specify the type and offset of the attributes in the data array. You can refer to the documentation of [WebGLRenderingContext.vertexAttribPointer](https://developer.mozilla.org/en-US/docs/Web/API/WebGLRenderingContext/vertexAttribPointer) for more explanation.\n *   ```js\n *   // here we indicate that the data array has the following structure:\n *   // [posX, posY, offsetX, offsetY, texCoordU, texCoordV, posX, posY, ...]\n *   helper.enableAttributes([\n *     {\n *        name: 'a_position',\n *        size: 2\n *     },\n *     {\n *       name: 'a_offset',\n *       size: 2\n *     },\n *     {\n *       name: 'a_texCoord',\n *       size: 2\n *     }\n *   ])\n *   ```\n *\n * ### Rendering primitives\n *\n *   Once all the steps above have been achieved, rendering primitives to the screen is done using {@link prepareDraw}, {@link drawElements} and {@link finalizeDraw}.\n *   ```js\n *   // frame preparation step\n *   helper.prepareDraw(frameState);\n *\n *   // call this for every data array that has to be rendered on screen\n *   helper.drawElements(0, this.indicesBuffer.getArray().length);\n *\n *   // finalize the rendering by applying post processes\n *   helper.finalizeDraw(frameState);\n *   ```\n *\n * For an example usage of this class, refer to {@link module:ol/renderer/webgl/PointsLayer~WebGLPointsLayerRenderer}.\n *\n *\n * @api\n */\nvar WebGLHelper = /** @class */ (function (_super) {\n    __extends(WebGLHelper, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function WebGLHelper(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options || {};\n        /** @private */\n        _this.boundHandleWebGLContextLost_ = _this.handleWebGLContextLost.bind(_this);\n        /** @private */\n        _this.boundHandleWebGLContextRestored_ =\n            _this.handleWebGLContextRestored.bind(_this);\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.canvasCacheKey_ = options.canvasCacheKey\n            ? getSharedCanvasCacheKey(options.canvasCacheKey)\n            : getUniqueCanvasCacheKey();\n        /**\n         * @private\n         * @type {HTMLCanvasElement}\n         */\n        _this.canvas_ = getCanvas(_this.canvasCacheKey_);\n        /**\n         * @private\n         * @type {WebGLRenderingContext}\n         */\n        _this.gl_ = getContext(_this.canvas_);\n        /**\n         * @private\n         * @type {!Object<string, BufferCacheEntry>}\n         */\n        _this.bufferCache_ = {};\n        /**\n         * @private\n         * @type {Object<string, Object>}\n         */\n        _this.extensionCache_ = {};\n        /**\n         * @private\n         * @type {WebGLProgram}\n         */\n        _this.currentProgram_ = null;\n        _this.canvas_.addEventListener(ContextEventType.LOST, _this.boundHandleWebGLContextLost_);\n        _this.canvas_.addEventListener(ContextEventType.RESTORED, _this.boundHandleWebGLContextRestored_);\n        /**\n         * @private\n         * @type {import(\"../transform.js\").Transform}\n         */\n        _this.offsetRotateMatrix_ = createTransform();\n        /**\n         * @private\n         * @type {import(\"../transform.js\").Transform}\n         */\n        _this.offsetScaleMatrix_ = createTransform();\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.tmpMat4_ = create();\n        /**\n         * @private\n         * @type {Object<string, WebGLUniformLocation>}\n         */\n        _this.uniformLocations_ = {};\n        /**\n         * @private\n         * @type {Object<string, number>}\n         */\n        _this.attribLocations_ = {};\n        /**\n         * Holds info about custom uniforms used in the post processing pass.\n         * If the uniform is a texture, the WebGL Texture object will be stored here.\n         * @type {Array<UniformInternalDescription>}\n         * @private\n         */\n        _this.uniforms_ = [];\n        if (options.uniforms) {\n            _this.setUniforms(options.uniforms);\n        }\n        var gl = _this.getGL();\n        /**\n         * An array of PostProcessingPass objects is kept in this variable, built from the steps provided in the\n         * options. If no post process was given, a default one is used (so as not to have to make an exception to\n         * the frame buffer logic).\n         * @type {Array<WebGLPostProcessingPass>}\n         * @private\n         */\n        _this.postProcessPasses_ = options.postProcesses\n            ? options.postProcesses.map(function (options) {\n                return new WebGLPostProcessingPass({\n                    webGlContext: gl,\n                    scaleRatio: options.scaleRatio,\n                    vertexShader: options.vertexShader,\n                    fragmentShader: options.fragmentShader,\n                    uniforms: options.uniforms,\n                });\n            })\n            : [new WebGLPostProcessingPass({ webGlContext: gl })];\n        /**\n         * @type {string|null}\n         * @private\n         */\n        _this.shaderCompileErrors_ = null;\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.startTime_ = Date.now();\n        return _this;\n    }\n    /**\n     * @param {Object<string, UniformValue>} uniforms Uniform definitions.\n     */\n    WebGLHelper.prototype.setUniforms = function (uniforms) {\n        this.uniforms_ = [];\n        for (var name_1 in uniforms) {\n            this.uniforms_.push({\n                name: name_1,\n                value: uniforms[name_1],\n            });\n        }\n        this.uniformLocations_ = {};\n    };\n    /**\n     * @param {string} canvasCacheKey The canvas cache key.\n     * @return {boolean} The provided key matches the one this helper was constructed with.\n     */\n    WebGLHelper.prototype.canvasCacheKeyMatches = function (canvasCacheKey) {\n        return this.canvasCacheKey_ === getSharedCanvasCacheKey(canvasCacheKey);\n    };\n    /**\n     * Get a WebGL extension.  If the extension is not supported, null is returned.\n     * Extensions are cached after they are enabled for the first time.\n     * @param {string} name The extension name.\n     * @return {Object} The extension or null if not supported.\n     */\n    WebGLHelper.prototype.getExtension = function (name) {\n        if (name in this.extensionCache_) {\n            return this.extensionCache_[name];\n        }\n        var extension = this.gl_.getExtension(name);\n        this.extensionCache_[name] = extension;\n        return extension;\n    };\n    /**\n     * Just bind the buffer if it's in the cache. Otherwise create\n     * the WebGL buffer, bind it, populate it, and add an entry to\n     * the cache.\n     * @param {import(\"./Buffer\").default} buffer Buffer.\n     * @api\n     */\n    WebGLHelper.prototype.bindBuffer = function (buffer) {\n        var gl = this.getGL();\n        var bufferKey = getUid(buffer);\n        var bufferCache = this.bufferCache_[bufferKey];\n        if (!bufferCache) {\n            var webGlBuffer = gl.createBuffer();\n            bufferCache = {\n                buffer: buffer,\n                webGlBuffer: webGlBuffer,\n            };\n            this.bufferCache_[bufferKey] = bufferCache;\n        }\n        gl.bindBuffer(buffer.getType(), bufferCache.webGlBuffer);\n    };\n    /**\n     * Update the data contained in the buffer array; this is required for the\n     * new data to be rendered\n     * @param {import(\"./Buffer\").default} buffer Buffer.\n     * @api\n     */\n    WebGLHelper.prototype.flushBufferData = function (buffer) {\n        var gl = this.getGL();\n        this.bindBuffer(buffer);\n        gl.bufferData(buffer.getType(), buffer.getArray(), buffer.getUsage());\n    };\n    /**\n     * @param {import(\"./Buffer.js\").default} buf Buffer.\n     */\n    WebGLHelper.prototype.deleteBuffer = function (buf) {\n        var gl = this.getGL();\n        var bufferKey = getUid(buf);\n        var bufferCacheEntry = this.bufferCache_[bufferKey];\n        if (bufferCacheEntry && !gl.isContextLost()) {\n            gl.deleteBuffer(bufferCacheEntry.webGlBuffer);\n        }\n        delete this.bufferCache_[bufferKey];\n    };\n    /**\n     * Clean up.\n     */\n    WebGLHelper.prototype.disposeInternal = function () {\n        this.canvas_.removeEventListener(ContextEventType.LOST, this.boundHandleWebGLContextLost_);\n        this.canvas_.removeEventListener(ContextEventType.RESTORED, this.boundHandleWebGLContextRestored_);\n        releaseCanvas(this.canvasCacheKey_);\n        delete this.gl_;\n        delete this.canvas_;\n    };\n    /**\n     * Clear the buffer & set the viewport to draw.\n     * Post process passes will be initialized here, the first one being bound as a render target for\n     * subsequent draw calls.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState current frame state\n     * @param {boolean} [opt_disableAlphaBlend] If true, no alpha blending will happen.\n     * @api\n     */\n    WebGLHelper.prototype.prepareDraw = function (frameState, opt_disableAlphaBlend) {\n        var gl = this.getGL();\n        var canvas = this.getCanvas();\n        var size = frameState.size;\n        var pixelRatio = frameState.pixelRatio;\n        canvas.width = size[0] * pixelRatio;\n        canvas.height = size[1] * pixelRatio;\n        canvas.style.width = size[0] + 'px';\n        canvas.style.height = size[1] + 'px';\n        gl.useProgram(this.currentProgram_);\n        // loop backwards in post processes list\n        for (var i = this.postProcessPasses_.length - 1; i >= 0; i--) {\n            this.postProcessPasses_[i].init(frameState);\n        }\n        gl.bindTexture(gl.TEXTURE_2D, null);\n        gl.clearColor(0.0, 0.0, 0.0, 0.0);\n        gl.clear(gl.COLOR_BUFFER_BIT);\n        gl.enable(gl.BLEND);\n        gl.blendFunc(gl.ONE, opt_disableAlphaBlend ? gl.ZERO : gl.ONE_MINUS_SRC_ALPHA);\n        gl.useProgram(this.currentProgram_);\n        this.applyFrameState(frameState);\n        this.applyUniforms(frameState);\n    };\n    /**\n     * Clear the render target & bind it for future draw operations.\n     * This is similar to `prepareDraw`, only post processes will not be applied.\n     * Note: the whole viewport will be drawn to the render target, regardless of its size.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState current frame state\n     * @param {import(\"./RenderTarget.js\").default} renderTarget Render target to draw to\n     * @param {boolean} [opt_disableAlphaBlend] If true, no alpha blending will happen.\n     */\n    WebGLHelper.prototype.prepareDrawToRenderTarget = function (frameState, renderTarget, opt_disableAlphaBlend) {\n        var gl = this.getGL();\n        var size = renderTarget.getSize();\n        gl.bindFramebuffer(gl.FRAMEBUFFER, renderTarget.getFramebuffer());\n        gl.viewport(0, 0, size[0], size[1]);\n        gl.bindTexture(gl.TEXTURE_2D, renderTarget.getTexture());\n        gl.clearColor(0.0, 0.0, 0.0, 0.0);\n        gl.clear(gl.COLOR_BUFFER_BIT);\n        gl.enable(gl.BLEND);\n        gl.blendFunc(gl.ONE, opt_disableAlphaBlend ? gl.ZERO : gl.ONE_MINUS_SRC_ALPHA);\n        gl.useProgram(this.currentProgram_);\n        this.applyFrameState(frameState);\n        this.applyUniforms(frameState);\n    };\n    /**\n     * Execute a draw call based on the currently bound program, texture, buffers, attributes.\n     * @param {number} start Start index.\n     * @param {number} end End index.\n     * @api\n     */\n    WebGLHelper.prototype.drawElements = function (start, end) {\n        var gl = this.getGL();\n        this.getExtension('OES_element_index_uint');\n        var elementType = gl.UNSIGNED_INT;\n        var elementSize = 4;\n        var numItems = end - start;\n        var offsetInBytes = start * elementSize;\n        gl.drawElements(gl.TRIANGLES, numItems, elementType, offsetInBytes);\n    };\n    /**\n     * Apply the successive post process passes which will eventually render to the actual canvas.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState current frame state\n     * @param {function(WebGLRenderingContext, import(\"../PluggableMap.js\").FrameState):void} [preCompose] Called before composing.\n     * @param {function(WebGLRenderingContext, import(\"../PluggableMap.js\").FrameState):void} [postCompose] Called before composing.\n     */\n    WebGLHelper.prototype.finalizeDraw = function (frameState, preCompose, postCompose) {\n        // apply post processes using the next one as target\n        for (var i = 0, ii = this.postProcessPasses_.length; i < ii; i++) {\n            if (i === ii - 1) {\n                this.postProcessPasses_[i].apply(frameState, null, preCompose, postCompose);\n            }\n            else {\n                this.postProcessPasses_[i].apply(frameState, this.postProcessPasses_[i + 1]);\n            }\n        }\n    };\n    /**\n     * @return {HTMLCanvasElement} Canvas.\n     * @api\n     */\n    WebGLHelper.prototype.getCanvas = function () {\n        return this.canvas_;\n    };\n    /**\n     * Get the WebGL rendering context\n     * @return {WebGLRenderingContext} The rendering context.\n     * @api\n     */\n    WebGLHelper.prototype.getGL = function () {\n        return this.gl_;\n    };\n    /**\n     * Sets the default matrix uniforms for a given frame state. This is called internally in `prepareDraw`.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @private\n     */\n    WebGLHelper.prototype.applyFrameState = function (frameState) {\n        var size = frameState.size;\n        var rotation = frameState.viewState.rotation;\n        var offsetScaleMatrix = resetTransform(this.offsetScaleMatrix_);\n        scaleTransform(offsetScaleMatrix, 2 / size[0], 2 / size[1]);\n        var offsetRotateMatrix = resetTransform(this.offsetRotateMatrix_);\n        if (rotation !== 0) {\n            rotateTransform(offsetRotateMatrix, -rotation);\n        }\n        this.setUniformMatrixValue(DefaultUniform.OFFSET_SCALE_MATRIX, fromTransform(this.tmpMat4_, offsetScaleMatrix));\n        this.setUniformMatrixValue(DefaultUniform.OFFSET_ROTATION_MATRIX, fromTransform(this.tmpMat4_, offsetRotateMatrix));\n        this.setUniformFloatValue(DefaultUniform.TIME, (Date.now() - this.startTime_) * 0.001);\n        this.setUniformFloatValue(DefaultUniform.ZOOM, frameState.viewState.zoom);\n        this.setUniformFloatValue(DefaultUniform.RESOLUTION, frameState.viewState.resolution);\n    };\n    /**\n     * Sets the custom uniforms based on what was given in the constructor. This is called internally in `prepareDraw`.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @private\n     */\n    WebGLHelper.prototype.applyUniforms = function (frameState) {\n        var gl = this.getGL();\n        var value;\n        var textureSlot = 0;\n        this.uniforms_.forEach(function (uniform) {\n            value =\n                typeof uniform.value === 'function'\n                    ? uniform.value(frameState)\n                    : uniform.value;\n            // apply value based on type\n            if (value instanceof HTMLCanvasElement ||\n                value instanceof HTMLImageElement ||\n                value instanceof ImageData) {\n                // create a texture & put data\n                if (!uniform.texture) {\n                    uniform.prevValue = undefined;\n                    uniform.texture = gl.createTexture();\n                }\n                gl.activeTexture(gl[\"TEXTURE\" + textureSlot]);\n                gl.bindTexture(gl.TEXTURE_2D, uniform.texture);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n                var imageReady = !(value instanceof HTMLImageElement) ||\n                    /** @type {HTMLImageElement} */ (value).complete;\n                if (imageReady && uniform.prevValue !== value) {\n                    uniform.prevValue = value;\n                    gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, value);\n                }\n                // fill texture slots by increasing index\n                gl.uniform1i(this.getUniformLocation(uniform.name), textureSlot++);\n            }\n            else if (Array.isArray(value) && value.length === 6) {\n                this.setUniformMatrixValue(uniform.name, fromTransform(this.tmpMat4_, value));\n            }\n            else if (Array.isArray(value) && value.length <= 4) {\n                switch (value.length) {\n                    case 2:\n                        gl.uniform2f(this.getUniformLocation(uniform.name), value[0], value[1]);\n                        return;\n                    case 3:\n                        gl.uniform3f(this.getUniformLocation(uniform.name), value[0], value[1], value[2]);\n                        return;\n                    case 4:\n                        gl.uniform4f(this.getUniformLocation(uniform.name), value[0], value[1], value[2], value[3]);\n                        return;\n                    default:\n                        return;\n                }\n            }\n            else if (typeof value === 'number') {\n                gl.uniform1f(this.getUniformLocation(uniform.name), value);\n            }\n        }.bind(this));\n    };\n    /**\n     * Use a program.  If the program is already in use, this will return `false`.\n     * @param {WebGLProgram} program Program.\n     * @return {boolean} Changed.\n     * @api\n     */\n    WebGLHelper.prototype.useProgram = function (program) {\n        if (program == this.currentProgram_) {\n            return false;\n        }\n        else {\n            var gl = this.getGL();\n            gl.useProgram(program);\n            this.currentProgram_ = program;\n            this.uniformLocations_ = {};\n            this.attribLocations_ = {};\n            return true;\n        }\n    };\n    /**\n     * Will attempt to compile a vertex or fragment shader based on source\n     * On error, the shader will be returned but\n     * `gl.getShaderParameter(shader, gl.COMPILE_STATUS)` will return `true`\n     * Use `gl.getShaderInfoLog(shader)` to have details\n     * @param {string} source Shader source\n     * @param {ShaderType} type VERTEX_SHADER or FRAGMENT_SHADER\n     * @return {WebGLShader} Shader object\n     */\n    WebGLHelper.prototype.compileShader = function (source, type) {\n        var gl = this.getGL();\n        var shader = gl.createShader(type);\n        gl.shaderSource(shader, source);\n        gl.compileShader(shader);\n        return shader;\n    };\n    /**\n     * Create a program for a vertex and fragment shader.  Throws if shader compilation fails.\n     * @param {string} fragmentShaderSource Fragment shader source.\n     * @param {string} vertexShaderSource Vertex shader source.\n     * @return {WebGLProgram} Program\n     * @api\n     */\n    WebGLHelper.prototype.getProgram = function (fragmentShaderSource, vertexShaderSource) {\n        var gl = this.getGL();\n        var fragmentShader = this.compileShader(fragmentShaderSource, gl.FRAGMENT_SHADER);\n        var vertexShader = this.compileShader(vertexShaderSource, gl.VERTEX_SHADER);\n        var program = gl.createProgram();\n        gl.attachShader(program, fragmentShader);\n        gl.attachShader(program, vertexShader);\n        gl.linkProgram(program);\n        if (!gl.getShaderParameter(fragmentShader, gl.COMPILE_STATUS)) {\n            var message = \"Fragment shader compliation failed: \" + gl.getShaderInfoLog(fragmentShader);\n            throw new Error(message);\n        }\n        gl.deleteShader(fragmentShader);\n        if (!gl.getShaderParameter(vertexShader, gl.COMPILE_STATUS)) {\n            var message = \"Vertex shader compilation failed: \" + gl.getShaderInfoLog(vertexShader);\n            throw new Error(message);\n        }\n        gl.deleteShader(vertexShader);\n        if (!gl.getProgramParameter(program, gl.LINK_STATUS)) {\n            var message = \"GL program linking failed: \" + gl.getShaderInfoLog(vertexShader);\n            throw new Error(message);\n        }\n        return program;\n    };\n    /**\n     * Will get the location from the shader or the cache\n     * @param {string} name Uniform name\n     * @return {WebGLUniformLocation} uniformLocation\n     * @api\n     */\n    WebGLHelper.prototype.getUniformLocation = function (name) {\n        if (this.uniformLocations_[name] === undefined) {\n            this.uniformLocations_[name] = this.getGL().getUniformLocation(this.currentProgram_, name);\n        }\n        return this.uniformLocations_[name];\n    };\n    /**\n     * Will get the location from the shader or the cache\n     * @param {string} name Attribute name\n     * @return {number} attribLocation\n     * @api\n     */\n    WebGLHelper.prototype.getAttributeLocation = function (name) {\n        if (this.attribLocations_[name] === undefined) {\n            this.attribLocations_[name] = this.getGL().getAttribLocation(this.currentProgram_, name);\n        }\n        return this.attribLocations_[name];\n    };\n    /**\n     * Modifies the given transform to apply the rotation/translation/scaling of the given frame state.\n     * The resulting transform can be used to convert world space coordinates to view coordinates.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"../transform\").Transform} transform Transform to update.\n     * @return {import(\"../transform\").Transform} The updated transform object.\n     * @api\n     */\n    WebGLHelper.prototype.makeProjectionTransform = function (frameState, transform) {\n        var size = frameState.size;\n        var rotation = frameState.viewState.rotation;\n        var resolution = frameState.viewState.resolution;\n        var center = frameState.viewState.center;\n        resetTransform(transform);\n        composeTransform(transform, 0, 0, 2 / (resolution * size[0]), 2 / (resolution * size[1]), -rotation, -center[0], -center[1]);\n        return transform;\n    };\n    /**\n     * Give a value for a standard float uniform\n     * @param {string} uniform Uniform name\n     * @param {number} value Value\n     * @api\n     */\n    WebGLHelper.prototype.setUniformFloatValue = function (uniform, value) {\n        this.getGL().uniform1f(this.getUniformLocation(uniform), value);\n    };\n    /**\n     * Give a value for a standard matrix4 uniform\n     * @param {string} uniform Uniform name\n     * @param {Array<number>} value Matrix value\n     * @api\n     */\n    WebGLHelper.prototype.setUniformMatrixValue = function (uniform, value) {\n        this.getGL().uniformMatrix4fv(this.getUniformLocation(uniform), false, value);\n    };\n    /**\n     * Will set the currently bound buffer to an attribute of the shader program. Used by `#enableAttributes`\n     * internally.\n     * @param {string} attribName Attribute name\n     * @param {number} size Number of components per attributes\n     * @param {number} type UNSIGNED_INT, UNSIGNED_BYTE, UNSIGNED_SHORT or FLOAT\n     * @param {number} stride Stride in bytes (0 means attribs are packed)\n     * @param {number} offset Offset in bytes\n     * @private\n     */\n    WebGLHelper.prototype.enableAttributeArray_ = function (attribName, size, type, stride, offset) {\n        var location = this.getAttributeLocation(attribName);\n        // the attribute has not been found in the shaders; do not enable it\n        if (location < 0) {\n            return;\n        }\n        this.getGL().enableVertexAttribArray(location);\n        this.getGL().vertexAttribPointer(location, size, type, false, stride, offset);\n    };\n    /**\n     * Will enable the following attributes to be read from the currently bound buffer,\n     * i.e. tell the GPU where to read the different attributes in the buffer. An error in the\n     * size/type/order of attributes will most likely break the rendering and throw a WebGL exception.\n     * @param {Array<AttributeDescription>} attributes Ordered list of attributes to read from the buffer\n     * @api\n     */\n    WebGLHelper.prototype.enableAttributes = function (attributes) {\n        var stride = computeAttributesStride(attributes);\n        var offset = 0;\n        for (var i = 0; i < attributes.length; i++) {\n            var attr = attributes[i];\n            this.enableAttributeArray_(attr.name, attr.size, attr.type || FLOAT, stride, offset);\n            offset += attr.size * getByteSizeFromType(attr.type);\n        }\n    };\n    /**\n     * WebGL context was lost\n     * @private\n     */\n    WebGLHelper.prototype.handleWebGLContextLost = function () {\n        clear(this.bufferCache_);\n        this.currentProgram_ = null;\n    };\n    /**\n     * WebGL context was restored\n     * @private\n     */\n    WebGLHelper.prototype.handleWebGLContextRestored = function () { };\n    /**\n     * Will create or reuse a given webgl texture and apply the given size. If no image data\n     * specified, the texture will be empty, otherwise image data will be used and the `size`\n     * parameter will be ignored.\n     * Note: wrap parameters are set to clamp to edge, min filter is set to linear.\n     * @param {Array<number>} size Expected size of the texture\n     * @param {ImageData|HTMLImageElement|HTMLCanvasElement} [opt_data] Image data/object to bind to the texture\n     * @param {WebGLTexture} [opt_texture] Existing texture to reuse\n     * @return {WebGLTexture} The generated texture\n     * @api\n     */\n    WebGLHelper.prototype.createTexture = function (size, opt_data, opt_texture) {\n        var gl = this.getGL();\n        var texture = opt_texture || gl.createTexture();\n        // set params & size\n        var level = 0;\n        var internalFormat = gl.RGBA;\n        var border = 0;\n        var format = gl.RGBA;\n        var type = gl.UNSIGNED_BYTE;\n        gl.bindTexture(gl.TEXTURE_2D, texture);\n        if (opt_data) {\n            gl.texImage2D(gl.TEXTURE_2D, level, internalFormat, format, type, opt_data);\n        }\n        else {\n            gl.texImage2D(gl.TEXTURE_2D, level, internalFormat, size[0], size[1], border, format, type, null);\n        }\n        gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n        gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n        gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n        return texture;\n    };\n    return WebGLHelper;\n}(Disposable));\n/**\n * Compute a stride in bytes based on a list of attributes\n * @param {Array<AttributeDescription>} attributes Ordered list of attributes\n * @return {number} Stride, ie amount of values for each vertex in the vertex buffer\n * @api\n */\nexport function computeAttributesStride(attributes) {\n    var stride = 0;\n    for (var i = 0; i < attributes.length; i++) {\n        var attr = attributes[i];\n        stride += attr.size * getByteSizeFromType(attr.type);\n    }\n    return stride;\n}\n/**\n * Computes the size in byte of an attribute type.\n * @param {AttributeType} type Attribute type\n * @return {number} The size in bytes\n */\nfunction getByteSizeFromType(type) {\n    switch (type) {\n        case AttributeType.UNSIGNED_BYTE:\n            return Uint8Array.BYTES_PER_ELEMENT;\n        case AttributeType.UNSIGNED_SHORT:\n            return Uint16Array.BYTES_PER_ELEMENT;\n        case AttributeType.UNSIGNED_INT:\n            return Uint32Array.BYTES_PER_ELEMENT;\n        case AttributeType.FLOAT:\n        default:\n            return Float32Array.BYTES_PER_ELEMENT;\n    }\n}\nexport default WebGLHelper;\n//# sourceMappingURL=Helper.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/webgl/Layer\n */\nimport LayerProperty from '../../layer/Property.js';\nimport LayerRenderer from '../Layer.js';\nimport RenderEvent from '../../render/Event.js';\nimport RenderEventType from '../../render/EventType.js';\nimport WebGLHelper from '../../webgl/Helper.js';\nimport { compose as composeTransform, create as createTransform, } from '../../transform.js';\n/**\n * @enum {string}\n */\nexport var WebGLWorkerMessageType = {\n    GENERATE_BUFFERS: 'GENERATE_BUFFERS',\n};\n/**\n * @typedef {Object} WebGLWorkerGenerateBuffersMessage\n * This message will trigger the generation of a vertex and an index buffer based on the given render instructions.\n * When the buffers are generated, the worked will send a message of the same type to the main thread, with\n * the generated buffers in it.\n * Note that any addition properties present in the message *will* be sent back to the main thread.\n * @property {WebGLWorkerMessageType} type Message type\n * @property {ArrayBuffer} renderInstructions Render instructions raw binary buffer.\n * @property {ArrayBuffer} [vertexBuffer] Vertices array raw binary buffer (sent by the worker).\n * @property {ArrayBuffer} [indexBuffer] Indices array raw binary buffer (sent by the worker).\n * @property {number} [customAttributesCount] Amount of custom attributes count in the render instructions.\n */\n/**\n * @typedef {Object} PostProcessesOptions\n * @property {number} [scaleRatio] Scale ratio; if < 1, the post process will render to a texture smaller than\n * the main canvas that will then be sampled up (useful for saving resource on blur steps).\n * @property {string} [vertexShader] Vertex shader source\n * @property {string} [fragmentShader] Fragment shader source\n * @property {Object<string,import(\"../../webgl/Helper\").UniformValue>} [uniforms] Uniform definitions for the post process step\n */\n/**\n * @typedef {Object} Options\n * @property {Object<string,import(\"../../webgl/Helper\").UniformValue>} [uniforms] Uniform definitions for the post process steps\n * @property {Array<PostProcessesOptions>} [postProcesses] Post-processes definitions\n */\n/**\n * @classdesc\n * Base WebGL renderer class.\n * Holds all logic related to data manipulation & some common rendering logic\n * @template {import(\"../../layer/Layer.js\").default} LayerType\n * @extends {LayerRenderer<LayerType>}\n */\nvar WebGLLayerRenderer = /** @class */ (function (_super) {\n    __extends(WebGLLayerRenderer, _super);\n    /**\n     * @param {LayerType} layer Layer.\n     * @param {Options} [opt_options] Options.\n     */\n    function WebGLLayerRenderer(layer, opt_options) {\n        var _this = _super.call(this, layer) || this;\n        var options = opt_options || {};\n        /**\n         * The transform for viewport CSS pixels to rendered pixels.  This transform is only\n         * set before dispatching rendering events.\n         * @private\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.inversePixelTransform_ = createTransform();\n        /**\n         * @private\n         */\n        _this.postProcesses_ = options.postProcesses;\n        /**\n         * @private\n         */\n        _this.uniforms_ = options.uniforms;\n        /**\n         * @type {WebGLHelper}\n         * @protected\n         */\n        _this.helper;\n        layer.addChangeListener(LayerProperty.MAP, _this.removeHelper_.bind(_this));\n        _this.dispatchPreComposeEvent = _this.dispatchPreComposeEvent.bind(_this);\n        _this.dispatchPostComposeEvent = _this.dispatchPostComposeEvent.bind(_this);\n        return _this;\n    }\n    /**\n     * @param {WebGLRenderingContext} context The WebGL rendering context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.dispatchPreComposeEvent = function (context, frameState) {\n        var layer = this.getLayer();\n        if (layer.hasListener(RenderEventType.PRECOMPOSE)) {\n            var event_1 = new RenderEvent(RenderEventType.PRECOMPOSE, undefined, frameState, context);\n            layer.dispatchEvent(event_1);\n        }\n    };\n    /**\n     * @param {WebGLRenderingContext} context The WebGL rendering context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.dispatchPostComposeEvent = function (context, frameState) {\n        var layer = this.getLayer();\n        if (layer.hasListener(RenderEventType.POSTCOMPOSE)) {\n            var event_2 = new RenderEvent(RenderEventType.POSTCOMPOSE, undefined, frameState, context);\n            layer.dispatchEvent(event_2);\n        }\n    };\n    /**\n     * Reset options (only handles uniforms).\n     * @param {Options} options Options.\n     */\n    WebGLLayerRenderer.prototype.reset = function (options) {\n        this.uniforms_ = options.uniforms;\n        if (this.helper) {\n            this.helper.setUniforms(this.uniforms_);\n        }\n    };\n    WebGLLayerRenderer.prototype.removeHelper_ = function () {\n        if (this.helper) {\n            this.helper.dispose();\n            delete this.helper;\n        }\n    };\n    /**\n     * Determine whether renderFrame should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    WebGLLayerRenderer.prototype.prepareFrame = function (frameState) {\n        if (this.getLayer().getSource()) {\n            var incrementGroup = true;\n            var groupNumber = -1;\n            var className = void 0;\n            for (var i = 0, ii = frameState.layerStatesArray.length; i < ii; i++) {\n                var layer = frameState.layerStatesArray[i].layer;\n                var renderer = layer.getRenderer();\n                if (!(renderer instanceof WebGLLayerRenderer)) {\n                    incrementGroup = true;\n                    continue;\n                }\n                var layerClassName = layer.getClassName();\n                if (incrementGroup || layerClassName !== className) {\n                    groupNumber += 1;\n                    incrementGroup = false;\n                }\n                className = layerClassName;\n                if (renderer === this) {\n                    break;\n                }\n            }\n            var canvasCacheKey = 'map/' + frameState.mapId + '/group/' + groupNumber;\n            if (!this.helper || !this.helper.canvasCacheKeyMatches(canvasCacheKey)) {\n                if (this.helper) {\n                    this.helper.dispose();\n                }\n                this.helper = new WebGLHelper({\n                    postProcesses: this.postProcesses_,\n                    uniforms: this.uniforms_,\n                    canvasCacheKey: canvasCacheKey,\n                });\n                if (className) {\n                    this.helper.getCanvas().className = className;\n                }\n                this.afterHelperCreated();\n            }\n        }\n        return this.prepareFrameInternal(frameState);\n    };\n    /**\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.afterHelperCreated = function () { };\n    /**\n     * Determine whether renderFrame should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.prepareFrameInternal = function (frameState) {\n        return true;\n    };\n    /**\n     * Clean up.\n     */\n    WebGLLayerRenderer.prototype.disposeInternal = function () {\n        this.removeHelper_();\n        _super.prototype.disposeInternal.call(this);\n    };\n    /**\n     * @param {import(\"../../render/EventType.js\").default} type Event type.\n     * @param {WebGLRenderingContext} context The rendering context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @private\n     */\n    WebGLLayerRenderer.prototype.dispatchRenderEvent_ = function (type, context, frameState) {\n        var layer = this.getLayer();\n        if (layer.hasListener(type)) {\n            composeTransform(this.inversePixelTransform_, 0, 0, frameState.pixelRatio, -frameState.pixelRatio, 0, 0, -frameState.size[1]);\n            var event_3 = new RenderEvent(type, this.inversePixelTransform_, frameState, context);\n            layer.dispatchEvent(event_3);\n        }\n    };\n    /**\n     * @param {WebGLRenderingContext} context The rendering context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.preRender = function (context, frameState) {\n        this.dispatchRenderEvent_(RenderEventType.PRERENDER, context, frameState);\n    };\n    /**\n     * @param {WebGLRenderingContext} context The rendering context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.postRender = function (context, frameState) {\n        this.dispatchRenderEvent_(RenderEventType.POSTRENDER, context, frameState);\n    };\n    return WebGLLayerRenderer;\n}(LayerRenderer));\nvar tmpArray_ = [];\nvar bufferPositions_ = { vertexPosition: 0, indexPosition: 0 };\nfunction writePointVertex(buffer, pos, x, y, index) {\n    buffer[pos + 0] = x;\n    buffer[pos + 1] = y;\n    buffer[pos + 2] = index;\n}\n/**\n * An object holding positions both in an index and a vertex buffer.\n * @typedef {Object} BufferPositions\n * @property {number} vertexPosition Position in the vertex buffer\n * @property {number} indexPosition Position in the index buffer\n */\n/**\n * Pushes a quad (two triangles) based on a point geometry\n * @param {Float32Array} instructions Array of render instructions for points.\n * @param {number} elementIndex Index from which render instructions will be read.\n * @param {Float32Array} vertexBuffer Buffer in the form of a typed array.\n * @param {Uint32Array} indexBuffer Buffer in the form of a typed array.\n * @param {number} customAttributesCount Amount of custom attributes for each element.\n * @param {BufferPositions} [bufferPositions] Buffer write positions; if not specified, positions will be set at 0.\n * @return {BufferPositions} New buffer positions where to write next\n * @property {number} vertexPosition New position in the vertex buffer where future writes should start.\n * @property {number} indexPosition New position in the index buffer where future writes should start.\n * @private\n */\nexport function writePointFeatureToBuffers(instructions, elementIndex, vertexBuffer, indexBuffer, customAttributesCount, bufferPositions) {\n    // This is for x, y and index\n    var baseVertexAttrsCount = 3;\n    var baseInstructionsCount = 2;\n    var stride = baseVertexAttrsCount + customAttributesCount;\n    var x = instructions[elementIndex + 0];\n    var y = instructions[elementIndex + 1];\n    // read custom numerical attributes on the feature\n    var customAttrs = tmpArray_;\n    customAttrs.length = customAttributesCount;\n    for (var i = 0; i < customAttrs.length; i++) {\n        customAttrs[i] = instructions[elementIndex + baseInstructionsCount + i];\n    }\n    var vPos = bufferPositions ? bufferPositions.vertexPosition : 0;\n    var iPos = bufferPositions ? bufferPositions.indexPosition : 0;\n    var baseIndex = vPos / stride;\n    // push vertices for each of the four quad corners (first standard then custom attributes)\n    writePointVertex(vertexBuffer, vPos, x, y, 0);\n    customAttrs.length &&\n        vertexBuffer.set(customAttrs, vPos + baseVertexAttrsCount);\n    vPos += stride;\n    writePointVertex(vertexBuffer, vPos, x, y, 1);\n    customAttrs.length &&\n        vertexBuffer.set(customAttrs, vPos + baseVertexAttrsCount);\n    vPos += stride;\n    writePointVertex(vertexBuffer, vPos, x, y, 2);\n    customAttrs.length &&\n        vertexBuffer.set(customAttrs, vPos + baseVertexAttrsCount);\n    vPos += stride;\n    writePointVertex(vertexBuffer, vPos, x, y, 3);\n    customAttrs.length &&\n        vertexBuffer.set(customAttrs, vPos + baseVertexAttrsCount);\n    vPos += stride;\n    indexBuffer[iPos++] = baseIndex;\n    indexBuffer[iPos++] = baseIndex + 1;\n    indexBuffer[iPos++] = baseIndex + 3;\n    indexBuffer[iPos++] = baseIndex + 1;\n    indexBuffer[iPos++] = baseIndex + 2;\n    indexBuffer[iPos++] = baseIndex + 3;\n    bufferPositions_.vertexPosition = vPos;\n    bufferPositions_.indexPosition = iPos;\n    return bufferPositions_;\n}\n/**\n * Returns a texture of 1x1 pixel, white\n * @private\n * @return {ImageData} Image data.\n */\nexport function getBlankImageData() {\n    var canvas = document.createElement('canvas');\n    var image = canvas.getContext('2d').createImageData(1, 1);\n    image.data[0] = 255;\n    image.data[1] = 255;\n    image.data[2] = 255;\n    image.data[3] = 255;\n    return image;\n}\n/**\n * Generates a color array based on a numerical id\n * Note: the range for each component is 0 to 1 with 256 steps\n * @param {number} id Id\n * @param {Array<number>} [opt_array] Reusable array\n * @return {Array<number>} Color array containing the encoded id\n */\nexport function colorEncodeId(id, opt_array) {\n    var array = opt_array || [];\n    var radix = 256;\n    var divide = radix - 1;\n    array[0] = Math.floor(id / radix / radix / radix) / divide;\n    array[1] = (Math.floor(id / radix / radix) % radix) / divide;\n    array[2] = (Math.floor(id / radix) % radix) / divide;\n    array[3] = (id % radix) / divide;\n    return array;\n}\n/**\n * Reads an id from a color-encoded array\n * Note: the expected range for each component is 0 to 1 with 256 steps.\n * @param {Array<number>} color Color array containing the encoded id\n * @return {number} Decoded id\n */\nexport function colorDecodeId(color) {\n    var id = 0;\n    var radix = 256;\n    var mult = radix - 1;\n    id += Math.round(color[0] * radix * radix * radix * mult);\n    id += Math.round(color[1] * radix * radix * mult);\n    id += Math.round(color[2] * radix * mult);\n    id += Math.round(color[3] * mult);\n    return id;\n}\nexport default WebGLLayerRenderer;\n//# sourceMappingURL=Layer.js.map","/**\n * A wrapper class to simplify rendering to a texture instead of the final canvas\n * @module ol/webgl/RenderTarget\n */\nimport { equals } from '../array.js';\n// for pixel color reading\nvar tmpArray4 = new Uint8Array(4);\n/**\n * @classdesc\n * This class is a wrapper around the association of both a `WebGLTexture` and a `WebGLFramebuffer` instances,\n * simplifying initialization and binding for rendering.\n * @api\n */\nvar WebGLRenderTarget = /** @class */ (function () {\n    /**\n     * @param {import(\"./Helper.js\").default} helper WebGL helper; mandatory.\n     * @param {Array<number>} [opt_size] Expected size of the render target texture; note: this can be changed later on.\n     */\n    function WebGLRenderTarget(helper, opt_size) {\n        /**\n         * @private\n         * @type {import(\"./Helper.js\").default}\n         */\n        this.helper_ = helper;\n        var gl = helper.getGL();\n        /**\n         * @private\n         * @type {WebGLTexture}\n         */\n        this.texture_ = gl.createTexture();\n        /**\n         * @private\n         * @type {WebGLFramebuffer}\n         */\n        this.framebuffer_ = gl.createFramebuffer();\n        /**\n         * @type {Array<number>}\n         * @private\n         */\n        this.size_ = opt_size || [1, 1];\n        /**\n         * @type {Uint8Array}\n         * @private\n         */\n        this.data_ = new Uint8Array(0);\n        /**\n         * @type {boolean}\n         * @private\n         */\n        this.dataCacheDirty_ = true;\n        this.updateSize_();\n    }\n    /**\n     * Changes the size of the render target texture. Note: will do nothing if the size\n     * is already the same.\n     * @param {Array<number>} size Expected size of the render target texture\n     * @api\n     */\n    WebGLRenderTarget.prototype.setSize = function (size) {\n        if (equals(size, this.size_)) {\n            return;\n        }\n        this.size_[0] = size[0];\n        this.size_[1] = size[1];\n        this.updateSize_();\n    };\n    /**\n     * Returns the size of the render target texture\n     * @return {Array<number>} Size of the render target texture\n     * @api\n     */\n    WebGLRenderTarget.prototype.getSize = function () {\n        return this.size_;\n    };\n    /**\n     * This will cause following calls to `#readAll` or `#readPixel` to download the content of the\n     * render target into memory, which is an expensive operation.\n     * This content will be kept in cache but should be cleared after each new render.\n     * @api\n     */\n    WebGLRenderTarget.prototype.clearCachedData = function () {\n        this.dataCacheDirty_ = true;\n    };\n    /**\n     * Returns the full content of the frame buffer as a series of r, g, b, a components\n     * in the 0-255 range (unsigned byte).\n     * @return {Uint8Array} Integer array of color values\n     * @api\n     */\n    WebGLRenderTarget.prototype.readAll = function () {\n        if (this.dataCacheDirty_) {\n            var size = this.size_;\n            var gl = this.helper_.getGL();\n            gl.bindFramebuffer(gl.FRAMEBUFFER, this.framebuffer_);\n            gl.readPixels(0, 0, size[0], size[1], gl.RGBA, gl.UNSIGNED_BYTE, this.data_);\n            this.dataCacheDirty_ = false;\n        }\n        return this.data_;\n    };\n    /**\n     * Reads one pixel of the frame buffer as an array of r, g, b, a components\n     * in the 0-255 range (unsigned byte).\n     * If x and/or y are outside of existing data, an array filled with 0 is returned.\n     * @param {number} x Pixel coordinate\n     * @param {number} y Pixel coordinate\n     * @return {Uint8Array} Integer array with one color value (4 components)\n     * @api\n     */\n    WebGLRenderTarget.prototype.readPixel = function (x, y) {\n        if (x < 0 || y < 0 || x > this.size_[0] || y >= this.size_[1]) {\n            tmpArray4[0] = 0;\n            tmpArray4[1] = 0;\n            tmpArray4[2] = 0;\n            tmpArray4[3] = 0;\n            return tmpArray4;\n        }\n        this.readAll();\n        var index = Math.floor(x) + (this.size_[1] - Math.floor(y) - 1) * this.size_[0];\n        tmpArray4[0] = this.data_[index * 4];\n        tmpArray4[1] = this.data_[index * 4 + 1];\n        tmpArray4[2] = this.data_[index * 4 + 2];\n        tmpArray4[3] = this.data_[index * 4 + 3];\n        return tmpArray4;\n    };\n    /**\n     * @return {WebGLTexture} Texture to render to\n     */\n    WebGLRenderTarget.prototype.getTexture = function () {\n        return this.texture_;\n    };\n    /**\n     * @return {WebGLFramebuffer} Frame buffer of the render target\n     */\n    WebGLRenderTarget.prototype.getFramebuffer = function () {\n        return this.framebuffer_;\n    };\n    /**\n     * @private\n     */\n    WebGLRenderTarget.prototype.updateSize_ = function () {\n        var size = this.size_;\n        var gl = this.helper_.getGL();\n        this.texture_ = this.helper_.createTexture(size, null, this.texture_);\n        gl.bindFramebuffer(gl.FRAMEBUFFER, this.framebuffer_);\n        gl.viewport(0, 0, size[0], size[1]);\n        gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, this.texture_, 0);\n        this.data_ = new Uint8Array(size[0] * size[1] * 4);\n    };\n    return WebGLRenderTarget;\n}());\nexport default WebGLRenderTarget;\n//# sourceMappingURL=RenderTarget.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/webgl/PointsLayer\n */\nimport BaseVector from '../../layer/BaseVector.js';\nimport GeometryType from '../../geom/GeometryType.js';\nimport VectorEventType from '../../source/VectorEventType.js';\nimport ViewHint from '../../ViewHint.js';\nimport WebGLArrayBuffer from '../../webgl/Buffer.js';\nimport WebGLLayerRenderer, { WebGLWorkerMessageType, colorDecodeId, colorEncodeId, } from './Layer.js';\nimport WebGLRenderTarget from '../../webgl/RenderTarget.js';\nimport { ARRAY_BUFFER, DYNAMIC_DRAW, ELEMENT_ARRAY_BUFFER } from '../../webgl.js';\nimport { AttributeType, DefaultUniform } from '../../webgl/Helper.js';\nimport { apply as applyTransform, create as createTransform, makeInverse as makeInverseTransform, multiply as multiplyTransform, } from '../../transform.js';\nimport { assert } from '../../asserts.js';\nimport { buffer, createEmpty, equals } from '../../extent.js';\nimport { create as createWebGLWorker } from '../../worker/webgl.js';\nimport { getUid } from '../../util.js';\nimport { listen, unlistenByKey } from '../../events.js';\n/**\n * @typedef {Object} CustomAttribute A description of a custom attribute to be passed on to the GPU, with a value different\n * for each feature.\n * @property {string} name Attribute name.\n * @property {function(import(\"../../Feature\").default, Object<string, *>):number} callback This callback computes the numerical value of the\n * attribute for a given feature (properties are available as 2nd arg for quicker access).\n */\n/**\n * @typedef {Object} FeatureCacheItem Object that holds a reference to a feature, its geometry and properties. Used to optimize\n * rebuildBuffers by accessing these objects quicker.\n * @property {import(\"../../Feature\").default} feature Feature\n * @property {Object<string, *>} properties Feature properties\n * @property {import(\"../../geom\").Geometry} geometry Feature geometry\n */\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the canvas element.\n * @property {Array<CustomAttribute>} [attributes] These attributes will be read from the features in the source and then\n * passed to the GPU. The `name` property of each attribute will serve as its identifier:\n *  * In the vertex shader as an `attribute` by prefixing it with `a_`\n *  * In the fragment shader as a `varying` by prefixing it with `v_`\n * Please note that these can only be numerical values.\n * @property {string} vertexShader Vertex shader source, mandatory.\n * @property {string} fragmentShader Fragment shader source, mandatory.\n * @property {string} [hitVertexShader] Vertex shader source for hit detection rendering.\n * @property {string} [hitFragmentShader] Fragment shader source for hit detection rendering.\n * @property {Object<string,import(\"../../webgl/Helper\").UniformValue>} [uniforms] Uniform definitions for the post process steps\n * Please note that `u_texture` is reserved for the main texture slot and `u_opacity` is reserved for the layer opacity.\n * @property {Array<import(\"./Layer\").PostProcessesOptions>} [postProcesses] Post-processes definitions\n */\n/**\n * @classdesc\n * WebGL vector renderer optimized for points.\n * All features will be rendered as quads (two triangles forming a square). New data will be flushed to the GPU\n * every time the vector source changes.\n *\n * You need to provide vertex and fragment shaders for rendering. This can be done using\n * {@link module:ol/webgl/ShaderBuilder} utilities. These shaders shall expect a `a_position` attribute\n * containing the screen-space projected center of the quad, as well as a `a_index` attribute\n * whose value (0, 1, 2 or 3) indicates which quad vertex is currently getting processed (see structure below).\n *\n * To include variable attributes in the shaders, you need to declare them using the `attributes` property of\n * the options object like so:\n * ```js\n * new WebGLPointsLayerRenderer(layer, {\n *   attributes: [\n *     {\n *       name: 'size',\n *       callback: function(feature) {\n *         // compute something with the feature\n *       }\n *     },\n *     {\n *       name: 'weight',\n *       callback: function(feature) {\n *         // compute something with the feature\n *       }\n *     },\n *   ],\n *   vertexShader:\n *     // shader using attribute a_weight and a_size\n *   fragmentShader:\n *     // shader using varying v_weight and v_size\n * ```\n *\n * To enable hit detection, you must as well provide dedicated shaders using the `hitVertexShader`\n * and `hitFragmentShader` properties. These shall expect the `a_hitColor` attribute to contain\n * the final color that will have to be output for hit detection to work.\n *\n * The following uniform is used for the main texture: `u_texture`.\n * The following uniform is used for the layer opacity: `u_opacity`.\n *\n * Please note that the main shader output should have premultiplied alpha, otherwise visual anomalies may occur.\n *\n * Points are rendered as quads with the following structure:\n *\n * ```\n *   (u0, v1)      (u1, v1)\n *  [3]----------[2]\n *   |`           |\n *   |  `         |\n *   |    `       |\n *   |      `     |\n *   |        `   |\n *   |          ` |\n *  [0]----------[1]\n *   (u0, v0)      (u1, v0)\n *  ```\n *\n * This uses {@link module:ol/webgl/Helper~WebGLHelper} internally.\n *\n * @api\n */\nvar WebGLPointsLayerRenderer = /** @class */ (function (_super) {\n    __extends(WebGLPointsLayerRenderer, _super);\n    /**\n     * @param {import(\"../../layer/Layer.js\").default} layer Layer.\n     * @param {Options} options Options.\n     */\n    function WebGLPointsLayerRenderer(layer, options) {\n        var _this = this;\n        var uniforms = options.uniforms || {};\n        var projectionMatrixTransform = createTransform();\n        uniforms[DefaultUniform.PROJECTION_MATRIX] = projectionMatrixTransform;\n        _this = _super.call(this, layer, {\n            uniforms: uniforms,\n            postProcesses: options.postProcesses,\n        }) || this;\n        _this.sourceRevision_ = -1;\n        _this.verticesBuffer_ = new WebGLArrayBuffer(ARRAY_BUFFER, DYNAMIC_DRAW);\n        _this.hitVerticesBuffer_ = new WebGLArrayBuffer(ARRAY_BUFFER, DYNAMIC_DRAW);\n        _this.indicesBuffer_ = new WebGLArrayBuffer(ELEMENT_ARRAY_BUFFER, DYNAMIC_DRAW);\n        /**\n         * @private\n         */\n        _this.vertexShader_ = options.vertexShader;\n        /**\n         * @private\n         */\n        _this.fragmentShader_ = options.fragmentShader;\n        /**\n         * @type {WebGLProgram}\n         * @private\n         */\n        _this.program_;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.hitDetectionEnabled_ =\n            options.hitFragmentShader && options.hitVertexShader ? true : false;\n        /**\n         * @private\n         */\n        _this.hitVertexShader_ = options.hitVertexShader;\n        /**\n         * @private\n         */\n        _this.hitFragmentShader_ = options.hitFragmentShader;\n        /**\n         * @type {WebGLProgram}\n         * @private\n         */\n        _this.hitProgram_;\n        var customAttributes = options.attributes\n            ? options.attributes.map(function (attribute) {\n                return {\n                    name: 'a_' + attribute.name,\n                    size: 1,\n                    type: AttributeType.FLOAT,\n                };\n            })\n            : [];\n        /**\n         * A list of attributes used by the renderer. By default only the position and\n         * index of the vertex (0 to 3) are required.\n         * @type {Array<import('../../webgl/Helper.js').AttributeDescription>}\n         */\n        _this.attributes = [\n            {\n                name: 'a_position',\n                size: 2,\n                type: AttributeType.FLOAT,\n            },\n            {\n                name: 'a_index',\n                size: 1,\n                type: AttributeType.FLOAT,\n            },\n        ].concat(customAttributes);\n        /**\n         * A list of attributes used for hit detection.\n         * @type {Array<import('../../webgl/Helper.js').AttributeDescription>}\n         */\n        _this.hitDetectionAttributes = [\n            {\n                name: 'a_position',\n                size: 2,\n                type: AttributeType.FLOAT,\n            },\n            {\n                name: 'a_index',\n                size: 1,\n                type: AttributeType.FLOAT,\n            },\n            {\n                name: 'a_hitColor',\n                size: 4,\n                type: AttributeType.FLOAT,\n            },\n            {\n                name: 'a_featureUid',\n                size: 1,\n                type: AttributeType.FLOAT,\n            },\n        ].concat(customAttributes);\n        _this.customAttributes = options.attributes ? options.attributes : [];\n        _this.previousExtent_ = createEmpty();\n        /**\n         * This transform is updated on every frame and is the composition of:\n         * - invert of the world->screen transform that was used when rebuilding buffers (see `this.renderTransform_`)\n         * - current world->screen transform\n         * @type {import(\"../../transform.js\").Transform}\n         * @private\n         */\n        _this.currentTransform_ = projectionMatrixTransform;\n        /**\n         * This transform is updated when buffers are rebuilt and converts world space coordinates to screen space\n         * @type {import(\"../../transform.js\").Transform}\n         * @private\n         */\n        _this.renderTransform_ = createTransform();\n        /**\n         * @type {import(\"../../transform.js\").Transform}\n         * @private\n         */\n        _this.invertRenderTransform_ = createTransform();\n        /**\n         * @type {Float32Array}\n         * @private\n         */\n        _this.renderInstructions_ = new Float32Array(0);\n        /**\n         * These instructions are used for hit detection\n         * @type {Float32Array}\n         * @private\n         */\n        _this.hitRenderInstructions_ = new Float32Array(0);\n        /**\n         * @type {WebGLRenderTarget}\n         * @private\n         */\n        _this.hitRenderTarget_;\n        _this.worker_ = createWebGLWorker();\n        _this.worker_.addEventListener('message', \n        /**\n         * @param {*} event Event.\n         * @this {WebGLPointsLayerRenderer}\n         */\n        function (event) {\n            var received = event.data;\n            if (received.type === WebGLWorkerMessageType.GENERATE_BUFFERS) {\n                var projectionTransform = received.projectionTransform;\n                if (received.hitDetection) {\n                    this.hitVerticesBuffer_.fromArrayBuffer(received.vertexBuffer);\n                    this.helper.flushBufferData(this.hitVerticesBuffer_);\n                }\n                else {\n                    this.verticesBuffer_.fromArrayBuffer(received.vertexBuffer);\n                    this.helper.flushBufferData(this.verticesBuffer_);\n                }\n                this.indicesBuffer_.fromArrayBuffer(received.indexBuffer);\n                this.helper.flushBufferData(this.indicesBuffer_);\n                this.renderTransform_ = projectionTransform;\n                makeInverseTransform(this.invertRenderTransform_, this.renderTransform_);\n                if (received.hitDetection) {\n                    this.hitRenderInstructions_ = new Float32Array(event.data.renderInstructions);\n                }\n                else {\n                    this.renderInstructions_ = new Float32Array(event.data.renderInstructions);\n                }\n                this.getLayer().changed();\n            }\n        }.bind(_this));\n        /**\n         * This object will be updated when the source changes. Key is uid.\n         * @type {Object<string, FeatureCacheItem>}\n         * @private\n         */\n        _this.featureCache_ = {};\n        /**\n         * Amount of features in the cache.\n         * @type {number}\n         * @private\n         */\n        _this.featureCount_ = 0;\n        var source = _this.getLayer().getSource();\n        _this.sourceListenKeys_ = [\n            listen(source, VectorEventType.ADDFEATURE, _this.handleSourceFeatureAdded_, _this),\n            listen(source, VectorEventType.CHANGEFEATURE, _this.handleSourceFeatureChanged_, _this),\n            listen(source, VectorEventType.REMOVEFEATURE, _this.handleSourceFeatureDelete_, _this),\n            listen(source, VectorEventType.CLEAR, _this.handleSourceFeatureClear_, _this),\n        ];\n        source.forEachFeature(function (feature) {\n            this.featureCache_[getUid(feature)] = {\n                feature: feature,\n                properties: feature.getProperties(),\n                geometry: feature.getGeometry(),\n            };\n            this.featureCount_++;\n        }.bind(_this));\n        return _this;\n    }\n    WebGLPointsLayerRenderer.prototype.afterHelperCreated = function () {\n        this.program_ = this.helper.getProgram(this.fragmentShader_, this.vertexShader_);\n        if (this.hitDetectionEnabled_) {\n            this.hitProgram_ = this.helper.getProgram(this.hitFragmentShader_, this.hitVertexShader_);\n            this.hitRenderTarget_ = new WebGLRenderTarget(this.helper);\n        }\n    };\n    /**\n     * @param {import(\"../../source/Vector.js\").VectorSourceEvent} event Event.\n     * @private\n     */\n    WebGLPointsLayerRenderer.prototype.handleSourceFeatureAdded_ = function (event) {\n        var feature = event.feature;\n        this.featureCache_[getUid(feature)] = {\n            feature: feature,\n            properties: feature.getProperties(),\n            geometry: feature.getGeometry(),\n        };\n        this.featureCount_++;\n    };\n    /**\n     * @param {import(\"../../source/Vector.js\").VectorSourceEvent} event Event.\n     * @private\n     */\n    WebGLPointsLayerRenderer.prototype.handleSourceFeatureChanged_ = function (event) {\n        var feature = event.feature;\n        this.featureCache_[getUid(feature)] = {\n            feature: feature,\n            properties: feature.getProperties(),\n            geometry: feature.getGeometry(),\n        };\n    };\n    /**\n     * @param {import(\"../../source/Vector.js\").VectorSourceEvent} event Event.\n     * @private\n     */\n    WebGLPointsLayerRenderer.prototype.handleSourceFeatureDelete_ = function (event) {\n        var feature = event.feature;\n        delete this.featureCache_[getUid(feature)];\n        this.featureCount_--;\n    };\n    /**\n     * @private\n     */\n    WebGLPointsLayerRenderer.prototype.handleSourceFeatureClear_ = function () {\n        this.featureCache_ = {};\n        this.featureCount_ = 0;\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {HTMLElement} The rendered element.\n     */\n    WebGLPointsLayerRenderer.prototype.renderFrame = function (frameState) {\n        var gl = this.helper.getGL();\n        this.preRender(gl, frameState);\n        var renderCount = this.indicesBuffer_.getSize();\n        this.helper.drawElements(0, renderCount);\n        this.helper.finalizeDraw(frameState, this.dispatchPreComposeEvent, this.dispatchPostComposeEvent);\n        var canvas = this.helper.getCanvas();\n        if (this.hitDetectionEnabled_) {\n            this.renderHitDetection(frameState);\n            this.hitRenderTarget_.clearCachedData();\n        }\n        this.postRender(gl, frameState);\n        return canvas;\n    };\n    /**\n     * Determine whether renderFrame should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    WebGLPointsLayerRenderer.prototype.prepareFrameInternal = function (frameState) {\n        var layer = this.getLayer();\n        var vectorSource = layer.getSource();\n        var viewState = frameState.viewState;\n        var viewNotMoving = !frameState.viewHints[ViewHint.ANIMATING] &&\n            !frameState.viewHints[ViewHint.INTERACTING];\n        var extentChanged = !equals(this.previousExtent_, frameState.extent);\n        var sourceChanged = this.sourceRevision_ < vectorSource.getRevision();\n        if (sourceChanged) {\n            this.sourceRevision_ = vectorSource.getRevision();\n        }\n        if (viewNotMoving && (extentChanged || sourceChanged)) {\n            var projection = viewState.projection;\n            var resolution = viewState.resolution;\n            var renderBuffer = layer instanceof BaseVector ? layer.getRenderBuffer() : 0;\n            var extent = buffer(frameState.extent, renderBuffer * resolution);\n            vectorSource.loadFeatures(extent, resolution, projection);\n            this.rebuildBuffers_(frameState);\n            this.previousExtent_ = frameState.extent.slice();\n        }\n        // apply the current projection transform with the invert of the one used to fill buffers\n        this.helper.makeProjectionTransform(frameState, this.currentTransform_);\n        multiplyTransform(this.currentTransform_, this.invertRenderTransform_);\n        this.helper.useProgram(this.program_);\n        this.helper.prepareDraw(frameState);\n        // write new data\n        this.helper.bindBuffer(this.verticesBuffer_);\n        this.helper.bindBuffer(this.indicesBuffer_);\n        this.helper.enableAttributes(this.attributes);\n        return true;\n    };\n    /**\n     * Rebuild internal webgl buffers based on current view extent; costly, should not be called too much\n     * @param {import(\"../../PluggableMap\").FrameState} frameState Frame state.\n     * @private\n     */\n    WebGLPointsLayerRenderer.prototype.rebuildBuffers_ = function (frameState) {\n        // saves the projection transform for the current frame state\n        var projectionTransform = createTransform();\n        this.helper.makeProjectionTransform(frameState, projectionTransform);\n        // here we anticipate the amount of render instructions that we well generate\n        // this can be done since we know that for normal render we only have x, y as base instructions,\n        // and x, y, r, g, b, a and featureUid for hit render instructions\n        // and we also know the amount of custom attributes to append to these\n        var totalInstructionsCount = (2 + this.customAttributes.length) * this.featureCount_;\n        if (!this.renderInstructions_ ||\n            this.renderInstructions_.length !== totalInstructionsCount) {\n            this.renderInstructions_ = new Float32Array(totalInstructionsCount);\n        }\n        if (this.hitDetectionEnabled_) {\n            var totalHitInstructionsCount = (7 + this.customAttributes.length) * this.featureCount_;\n            if (!this.hitRenderInstructions_ ||\n                this.hitRenderInstructions_.length !== totalHitInstructionsCount) {\n                this.hitRenderInstructions_ = new Float32Array(totalHitInstructionsCount);\n            }\n        }\n        // loop on features to fill the buffer\n        var featureCache, geometry;\n        var tmpCoords = [];\n        var tmpColor = [];\n        var renderIndex = 0;\n        var hitIndex = 0;\n        var hitColor;\n        for (var featureUid in this.featureCache_) {\n            featureCache = this.featureCache_[featureUid];\n            geometry = /** @type {import(\"../../geom\").Point} */ (featureCache.geometry);\n            if (!geometry || geometry.getType() !== GeometryType.POINT) {\n                continue;\n            }\n            tmpCoords[0] = geometry.getFlatCoordinates()[0];\n            tmpCoords[1] = geometry.getFlatCoordinates()[1];\n            applyTransform(projectionTransform, tmpCoords);\n            hitColor = colorEncodeId(hitIndex + 6, tmpColor);\n            this.renderInstructions_[renderIndex++] = tmpCoords[0];\n            this.renderInstructions_[renderIndex++] = tmpCoords[1];\n            // for hit detection, the feature uid is saved in the opacity value\n            // and the index of the opacity value is encoded in the color values\n            if (this.hitDetectionEnabled_) {\n                this.hitRenderInstructions_[hitIndex++] = tmpCoords[0];\n                this.hitRenderInstructions_[hitIndex++] = tmpCoords[1];\n                this.hitRenderInstructions_[hitIndex++] = hitColor[0];\n                this.hitRenderInstructions_[hitIndex++] = hitColor[1];\n                this.hitRenderInstructions_[hitIndex++] = hitColor[2];\n                this.hitRenderInstructions_[hitIndex++] = hitColor[3];\n                this.hitRenderInstructions_[hitIndex++] = Number(featureUid);\n            }\n            // pushing custom attributes\n            var value = void 0;\n            for (var j = 0; j < this.customAttributes.length; j++) {\n                value = this.customAttributes[j].callback(featureCache.feature, featureCache.properties);\n                this.renderInstructions_[renderIndex++] = value;\n                if (this.hitDetectionEnabled_) {\n                    this.hitRenderInstructions_[hitIndex++] = value;\n                }\n            }\n        }\n        /** @type {import('./Layer').WebGLWorkerGenerateBuffersMessage} */\n        var message = {\n            type: WebGLWorkerMessageType.GENERATE_BUFFERS,\n            renderInstructions: this.renderInstructions_.buffer,\n            customAttributesCount: this.customAttributes.length,\n        };\n        // additional properties will be sent back as-is by the worker\n        message['projectionTransform'] = projectionTransform;\n        this.worker_.postMessage(message, [this.renderInstructions_.buffer]);\n        this.renderInstructions_ = null;\n        /** @type {import('./Layer').WebGLWorkerGenerateBuffersMessage} */\n        if (this.hitDetectionEnabled_) {\n            var hitMessage = {\n                type: WebGLWorkerMessageType.GENERATE_BUFFERS,\n                renderInstructions: this.hitRenderInstructions_.buffer,\n                customAttributesCount: 5 + this.customAttributes.length,\n            };\n            hitMessage['projectionTransform'] = projectionTransform;\n            hitMessage['hitDetection'] = true;\n            this.worker_.postMessage(hitMessage, [\n                this.hitRenderInstructions_.buffer,\n            ]);\n            this.hitRenderInstructions_ = null;\n        }\n    };\n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {import(\"../vector.js\").FeatureCallback<T>} callback Feature callback.\n     * @param {Array<import(\"../Map.js\").HitMatch<T>>} matches The hit detected matches with tolerance.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    WebGLPointsLayerRenderer.prototype.forEachFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, callback, matches) {\n        assert(this.hitDetectionEnabled_, 66);\n        if (!this.hitRenderInstructions_) {\n            return undefined;\n        }\n        var pixel = applyTransform(frameState.coordinateToPixelTransform, coordinate.slice());\n        var data = this.hitRenderTarget_.readPixel(pixel[0] / 2, pixel[1] / 2);\n        var color = [data[0] / 255, data[1] / 255, data[2] / 255, data[3] / 255];\n        var index = colorDecodeId(color);\n        var opacity = this.hitRenderInstructions_[index];\n        var uid = Math.floor(opacity).toString();\n        var source = this.getLayer().getSource();\n        var feature = source.getFeatureByUid(uid);\n        if (feature) {\n            return callback(feature, this.getLayer(), null);\n        }\n        return undefined;\n    };\n    /**\n     * Render the hit detection data to the corresponding render target\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState current frame state\n     */\n    WebGLPointsLayerRenderer.prototype.renderHitDetection = function (frameState) {\n        // skip render entirely if vertex buffers not ready/generated yet\n        if (!this.hitVerticesBuffer_.getSize()) {\n            return;\n        }\n        this.hitRenderTarget_.setSize([\n            Math.floor(frameState.size[0] / 2),\n            Math.floor(frameState.size[1] / 2),\n        ]);\n        this.helper.useProgram(this.hitProgram_);\n        this.helper.prepareDrawToRenderTarget(frameState, this.hitRenderTarget_, true);\n        this.helper.bindBuffer(this.hitVerticesBuffer_);\n        this.helper.bindBuffer(this.indicesBuffer_);\n        this.helper.enableAttributes(this.hitDetectionAttributes);\n        var renderCount = this.indicesBuffer_.getSize();\n        this.helper.drawElements(0, renderCount);\n    };\n    /**\n     * Clean up.\n     */\n    WebGLPointsLayerRenderer.prototype.disposeInternal = function () {\n        this.worker_.terminate();\n        this.layer_ = null;\n        this.sourceListenKeys_.forEach(function (key) {\n            unlistenByKey(key);\n        });\n        this.sourceListenKeys_ = null;\n        _super.prototype.disposeInternal.call(this);\n    };\n    return WebGLPointsLayerRenderer;\n}(WebGLLayerRenderer));\nexport default WebGLPointsLayerRenderer;\n//# sourceMappingURL=PointsLayer.js.map","export function create() {\n    var source = \"var e=\\\"function\\\"==typeof Object.assign?Object.assign:function(e,n){if(null==e)throw new TypeError(\\\"Cannot convert undefined or null to object\\\");for(var t=Object(e),r=1,o=arguments.length;r<o;++r){var i=arguments[r];if(null!=i)for(var f in i)i.hasOwnProperty(f)&&(t[f]=i[f])}return t},n=\\\"GENERATE_BUFFERS\\\",t=[],r={vertexPosition:0,indexPosition:0};function o(e,n,t,r,o){e[n+0]=t,e[n+1]=r,e[n+2]=o}function i(e,n,i,f,s,u){var a=3+s,l=e[n+0],v=e[n+1],c=t;c.length=s;for(var g=0;g<c.length;g++)c[g]=e[n+2+g];var b=u?u.vertexPosition:0,h=u?u.indexPosition:0,d=b/a;return o(i,b,l,v,0),c.length&&i.set(c,b+3),o(i,b+=a,l,v,1),c.length&&i.set(c,b+3),o(i,b+=a,l,v,2),c.length&&i.set(c,b+3),o(i,b+=a,l,v,3),c.length&&i.set(c,b+3),b+=a,f[h++]=d,f[h++]=d+1,f[h++]=d+3,f[h++]=d+1,f[h++]=d+2,f[h++]=d+3,r.vertexPosition=b,r.indexPosition=h,r}var f=self;f.onmessage=function(t){var r=t.data;if(r.type===n){for(var o=r.customAttributesCount,s=2+o,u=new Float32Array(r.renderInstructions),a=u.length/s,l=4*a*(o+3),v=new Uint32Array(6*a),c=new Float32Array(l),g=null,b=0;b<u.length;b+=s)g=i(u,b,c,v,o,g);var h=e({vertexBuffer:c.buffer,indexBuffer:v.buffer,renderInstructions:u.buffer},r);f.postMessage(h,[c.buffer,v.buffer,u.buffer])}};\";\n    var blob = new Blob([source], { type: 'application/javascript' });\n    var url = URL.createObjectURL(blob);\n    return new Worker(url);\n}\n//# sourceMappingURL=webgl.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Heatmap\n */\nimport BaseVector from './BaseVector.js';\nimport WebGLPointsLayerRenderer from '../renderer/webgl/PointsLayer.js';\nimport { assign } from '../obj.js';\nimport { clamp } from '../math.js';\nimport { createCanvasContext2D } from '../dom.js';\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {Array<string>} [gradient=['#00f', '#0ff', '#0f0', '#ff0', '#f00']] The color gradient\n * of the heatmap, specified as an array of CSS color strings.\n * @property {number} [radius=8] Radius size in pixels.\n * @property {number} [blur=15] Blur size in pixels.\n * @property {string|function(import(\"../Feature.js\").default):number} [weight='weight'] The feature\n * attribute to use for the weight or a function that returns a weight from a feature. Weight values\n * should range from 0 to 1 (and values outside will be clamped to that range).\n * @property {import(\"../source/Vector.js\").default} [source] Source.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @enum {string}\n * @private\n */\nvar Property = {\n    BLUR: 'blur',\n    GRADIENT: 'gradient',\n    RADIUS: 'radius',\n};\n/**\n * @const\n * @type {Array<string>}\n */\nvar DEFAULT_GRADIENT = ['#00f', '#0ff', '#0f0', '#ff0', '#f00'];\n/**\n * @classdesc\n * Layer for rendering vector data as a heatmap.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @fires import(\"../render/Event.js\").RenderEvent\n * @extends {BaseVector<import(\"../source/Vector.js\").default, WebGLPointsLayerRenderer>}\n * @api\n */\nvar Heatmap = /** @class */ (function (_super) {\n    __extends(Heatmap, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Heatmap(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var baseOptions = assign({}, options);\n        delete baseOptions.gradient;\n        delete baseOptions.radius;\n        delete baseOptions.blur;\n        delete baseOptions.weight;\n        _this = _super.call(this, baseOptions) || this;\n        /**\n         * @private\n         * @type {HTMLCanvasElement}\n         */\n        _this.gradient_ = null;\n        _this.addChangeListener(Property.GRADIENT, _this.handleGradientChanged_);\n        _this.setGradient(options.gradient ? options.gradient : DEFAULT_GRADIENT);\n        _this.setBlur(options.blur !== undefined ? options.blur : 15);\n        _this.setRadius(options.radius !== undefined ? options.radius : 8);\n        var weight = options.weight ? options.weight : 'weight';\n        if (typeof weight === 'string') {\n            _this.weightFunction_ = function (feature) {\n                return feature.get(weight);\n            };\n        }\n        else {\n            _this.weightFunction_ = weight;\n        }\n        // For performance reasons, don't sort the features before rendering.\n        // The render order is not relevant for a heatmap representation.\n        _this.setRenderOrder(null);\n        return _this;\n    }\n    /**\n     * Return the blur size in pixels.\n     * @return {number} Blur size in pixels.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.getBlur = function () {\n        return /** @type {number} */ (this.get(Property.BLUR));\n    };\n    /**\n     * Return the gradient colors as array of strings.\n     * @return {Array<string>} Colors.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.getGradient = function () {\n        return /** @type {Array<string>} */ (this.get(Property.GRADIENT));\n    };\n    /**\n     * Return the size of the radius in pixels.\n     * @return {number} Radius size in pixel.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.getRadius = function () {\n        return /** @type {number} */ (this.get(Property.RADIUS));\n    };\n    /**\n     * @private\n     */\n    Heatmap.prototype.handleGradientChanged_ = function () {\n        this.gradient_ = createGradient(this.getGradient());\n    };\n    /**\n     * Set the blur size in pixels.\n     * @param {number} blur Blur size in pixels.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.setBlur = function (blur) {\n        this.set(Property.BLUR, blur);\n    };\n    /**\n     * Set the gradient colors as array of strings.\n     * @param {Array<string>} colors Gradient.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.setGradient = function (colors) {\n        this.set(Property.GRADIENT, colors);\n    };\n    /**\n     * Set the size of the radius in pixels.\n     * @param {number} radius Radius size in pixel.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.setRadius = function (radius) {\n        this.set(Property.RADIUS, radius);\n    };\n    Heatmap.prototype.createRenderer = function () {\n        return new WebGLPointsLayerRenderer(this, {\n            className: this.getClassName(),\n            attributes: [\n                {\n                    name: 'weight',\n                    callback: function (feature) {\n                        var weight = this.weightFunction_(feature);\n                        return weight !== undefined ? clamp(weight, 0, 1) : 1;\n                    }.bind(this),\n                },\n            ],\n            vertexShader: \"\\n        precision mediump float;\\n        uniform mat4 u_projectionMatrix;\\n        uniform mat4 u_offsetScaleMatrix;\\n        uniform float u_size;\\n        attribute vec2 a_position;\\n        attribute float a_index;\\n        attribute float a_weight;\\n\\n        varying vec2 v_texCoord;\\n        varying float v_weight;\\n\\n        void main(void) {\\n          mat4 offsetMatrix = u_offsetScaleMatrix;\\n          float offsetX = a_index == 0.0 || a_index == 3.0 ? -u_size / 2.0 : u_size / 2.0;\\n          float offsetY = a_index == 0.0 || a_index == 1.0 ? -u_size / 2.0 : u_size / 2.0;\\n          vec4 offsets = offsetMatrix * vec4(offsetX, offsetY, 0.0, 0.0);\\n          gl_Position = u_projectionMatrix * vec4(a_position, 0.0, 1.0) + offsets;\\n          float u = a_index == 0.0 || a_index == 3.0 ? 0.0 : 1.0;\\n          float v = a_index == 0.0 || a_index == 1.0 ? 0.0 : 1.0;\\n          v_texCoord = vec2(u, v);\\n          v_weight = a_weight;\\n        }\",\n            fragmentShader: \"\\n        precision mediump float;\\n        uniform float u_blurSlope;\\n\\n        varying vec2 v_texCoord;\\n        varying float v_weight;\\n\\n        void main(void) {\\n          vec2 texCoord = v_texCoord * 2.0 - vec2(1.0, 1.0);\\n          float sqRadius = texCoord.x * texCoord.x + texCoord.y * texCoord.y;\\n          float value = (1.0 - sqrt(sqRadius)) * u_blurSlope;\\n          float alpha = smoothstep(0.0, 1.0, value) * v_weight;\\n          gl_FragColor = vec4(alpha, alpha, alpha, alpha);\\n        }\",\n            hitVertexShader: \"\\n        precision mediump float;\\n        uniform mat4 u_projectionMatrix;\\n        uniform mat4 u_offsetScaleMatrix;\\n        uniform float u_size;\\n        attribute vec2 a_position;\\n        attribute float a_index;\\n        attribute float a_weight;\\n        attribute vec4 a_hitColor;\\n\\n        varying vec2 v_texCoord;\\n        varying float v_weight;\\n        varying vec4 v_hitColor;\\n\\n        void main(void) {\\n          mat4 offsetMatrix = u_offsetScaleMatrix;\\n          float offsetX = a_index == 0.0 || a_index == 3.0 ? -u_size / 2.0 : u_size / 2.0;\\n          float offsetY = a_index == 0.0 || a_index == 1.0 ? -u_size / 2.0 : u_size / 2.0;\\n          vec4 offsets = offsetMatrix * vec4(offsetX, offsetY, 0.0, 0.0);\\n          gl_Position = u_projectionMatrix * vec4(a_position, 0.0, 1.0) + offsets;\\n          float u = a_index == 0.0 || a_index == 3.0 ? 0.0 : 1.0;\\n          float v = a_index == 0.0 || a_index == 1.0 ? 0.0 : 1.0;\\n          v_texCoord = vec2(u, v);\\n          v_hitColor = a_hitColor;\\n          v_weight = a_weight;\\n        }\",\n            hitFragmentShader: \"\\n        precision mediump float;\\n        uniform float u_blurSlope;\\n\\n        varying vec2 v_texCoord;\\n        varying float v_weight;\\n        varying vec4 v_hitColor;\\n\\n        void main(void) {\\n          vec2 texCoord = v_texCoord * 2.0 - vec2(1.0, 1.0);\\n          float sqRadius = texCoord.x * texCoord.x + texCoord.y * texCoord.y;\\n          float value = (1.0 - sqrt(sqRadius)) * u_blurSlope;\\n          float alpha = smoothstep(0.0, 1.0, value) * v_weight;\\n          if (alpha < 0.05) {\\n            discard;\\n          }\\n\\n          gl_FragColor = v_hitColor;\\n        }\",\n            uniforms: {\n                u_size: function () {\n                    return (this.get(Property.RADIUS) + this.get(Property.BLUR)) * 2;\n                }.bind(this),\n                u_blurSlope: function () {\n                    return (this.get(Property.RADIUS) / Math.max(1, this.get(Property.BLUR)));\n                }.bind(this),\n            },\n            postProcesses: [\n                {\n                    fragmentShader: \"\\n            precision mediump float;\\n\\n            uniform sampler2D u_image;\\n            uniform sampler2D u_gradientTexture;\\n            uniform float u_opacity;\\n\\n            varying vec2 v_texCoord;\\n\\n            void main() {\\n              vec4 color = texture2D(u_image, v_texCoord);\\n              gl_FragColor.a = color.a * u_opacity;\\n              gl_FragColor.rgb = texture2D(u_gradientTexture, vec2(0.5, color.a)).rgb;\\n              gl_FragColor.rgb *= gl_FragColor.a;\\n            }\",\n                    uniforms: {\n                        u_gradientTexture: function () {\n                            return this.gradient_;\n                        }.bind(this),\n                        u_opacity: function () {\n                            return this.getOpacity();\n                        }.bind(this),\n                    },\n                },\n            ],\n        });\n    };\n    Heatmap.prototype.renderDeclutter = function () { };\n    return Heatmap;\n}(BaseVector));\n/**\n * @param {Array<string>} colors A list of colored.\n * @return {HTMLCanvasElement} canvas with gradient texture.\n */\nfunction createGradient(colors) {\n    var width = 1;\n    var height = 256;\n    var context = createCanvasContext2D(width, height);\n    var gradient = context.createLinearGradient(0, 0, width, height);\n    var step = 1 / (colors.length - 1);\n    for (var i = 0, ii = colors.length; i < ii; ++i) {\n        gradient.addColorStop(i * step, colors[i]);\n    }\n    context.fillStyle = gradient;\n    context.fillRect(0, 0, width, height);\n    return context.canvas;\n}\nexport default Heatmap;\n//# sourceMappingURL=Heatmap.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/BaseImage\n */\nimport Layer from './Layer.js';\n/**\n * @template {import(\"../source/Image.js\").default} ImageSourceType\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {import(\"../PluggableMap.js\").default} [map] Sets the layer as overlay on a map. The map will not manage\n * this layer in its layers collection, and the layer will be rendered on top. This is useful for\n * temporary layers. The standard way to add a layer to a map and have it managed by the map is to\n * use {@link import(\"../PluggableMap.js\").default#addLayer map.addLayer()}.\n * @property {ImageSourceType} [source] Source for this layer.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @classdesc\n * Server-rendered images that are available for arbitrary extents and\n * resolutions.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Image.js\").default} ImageSourceType\n * @template {import(\"../renderer/Layer.js\").default} RendererType\n * @extends {Layer<ImageSourceType, RendererType>}\n * @api\n */\nvar BaseImageLayer = /** @class */ (function (_super) {\n    __extends(BaseImageLayer, _super);\n    /**\n     * @param {Options<ImageSourceType>} [opt_options] Layer options.\n     */\n    function BaseImageLayer(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, options) || this;\n        return _this;\n    }\n    return BaseImageLayer;\n}(Layer));\nexport default BaseImageLayer;\n//# sourceMappingURL=BaseImage.js.map","/**\n * @module ol/renderer/canvas/common\n */\n/**\n * Context options to disable image smoothing.\n * @type {Object}\n */\nexport var IMAGE_SMOOTHING_DISABLED = {\n    imageSmoothingEnabled: false,\n    msImageSmoothingEnabled: false,\n};\n//# sourceMappingURL=common.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/canvas/ImageLayer\n */\nimport CanvasLayerRenderer from './Layer.js';\nimport ViewHint from '../../ViewHint.js';\nimport { ENABLE_RASTER_REPROJECTION } from '../../reproj/common.js';\nimport { IMAGE_SMOOTHING_DISABLED } from './common.js';\nimport { assign } from '../../obj.js';\nimport { compose as composeTransform, makeInverse } from '../../transform.js';\nimport { containsExtent, intersects as intersectsExtent } from '../../extent.js';\nimport { fromUserExtent } from '../../proj.js';\nimport { getIntersection, isEmpty } from '../../extent.js';\nimport { toString as toTransformString } from '../../transform.js';\n/**\n * @classdesc\n * Canvas renderer for image layers.\n * @api\n */\nvar CanvasImageLayerRenderer = /** @class */ (function (_super) {\n    __extends(CanvasImageLayerRenderer, _super);\n    /**\n     * @param {import(\"../../layer/Image.js\").default} imageLayer Image layer.\n     */\n    function CanvasImageLayerRenderer(imageLayer) {\n        var _this = _super.call(this, imageLayer) || this;\n        /**\n         * @protected\n         * @type {?import(\"../../ImageBase.js\").default}\n         */\n        _this.image_ = null;\n        return _this;\n    }\n    /**\n     * @return {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} Image.\n     */\n    CanvasImageLayerRenderer.prototype.getImage = function () {\n        return !this.image_ ? null : this.image_.getImage();\n    };\n    /**\n     * Determine whether render should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    CanvasImageLayerRenderer.prototype.prepareFrame = function (frameState) {\n        var layerState = frameState.layerStatesArray[frameState.layerIndex];\n        var pixelRatio = frameState.pixelRatio;\n        var viewState = frameState.viewState;\n        var viewResolution = viewState.resolution;\n        var imageSource = this.getLayer().getSource();\n        var hints = frameState.viewHints;\n        var renderedExtent = frameState.extent;\n        if (layerState.extent !== undefined) {\n            renderedExtent = getIntersection(renderedExtent, fromUserExtent(layerState.extent, viewState.projection));\n        }\n        if (!hints[ViewHint.ANIMATING] &&\n            !hints[ViewHint.INTERACTING] &&\n            !isEmpty(renderedExtent)) {\n            if (imageSource) {\n                var projection = viewState.projection;\n                if (!ENABLE_RASTER_REPROJECTION) {\n                    var sourceProjection = imageSource.getProjection();\n                    if (sourceProjection) {\n                        projection = sourceProjection;\n                    }\n                }\n                var image = imageSource.getImage(renderedExtent, viewResolution, pixelRatio, projection);\n                if (image && this.loadImage(image)) {\n                    this.image_ = image;\n                }\n            }\n            else {\n                this.image_ = null;\n            }\n        }\n        return !!this.image_;\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target that may be used to render content to.\n     * @return {HTMLElement} The rendered element.\n     */\n    CanvasImageLayerRenderer.prototype.renderFrame = function (frameState, target) {\n        var image = this.image_;\n        var imageExtent = image.getExtent();\n        var imageResolution = image.getResolution();\n        var imagePixelRatio = image.getPixelRatio();\n        var layerState = frameState.layerStatesArray[frameState.layerIndex];\n        var pixelRatio = frameState.pixelRatio;\n        var viewState = frameState.viewState;\n        var viewCenter = viewState.center;\n        var viewResolution = viewState.resolution;\n        var size = frameState.size;\n        var scale = (pixelRatio * imageResolution) / (viewResolution * imagePixelRatio);\n        var width = Math.round(size[0] * pixelRatio);\n        var height = Math.round(size[1] * pixelRatio);\n        var rotation = viewState.rotation;\n        if (rotation) {\n            var size_1 = Math.round(Math.sqrt(width * width + height * height));\n            width = size_1;\n            height = size_1;\n        }\n        // set forward and inverse pixel transforms\n        composeTransform(this.pixelTransform, frameState.size[0] / 2, frameState.size[1] / 2, 1 / pixelRatio, 1 / pixelRatio, rotation, -width / 2, -height / 2);\n        makeInverse(this.inversePixelTransform, this.pixelTransform);\n        var canvasTransform = toTransformString(this.pixelTransform);\n        this.useContainer(target, canvasTransform, layerState.opacity);\n        var context = this.context;\n        var canvas = context.canvas;\n        if (canvas.width != width || canvas.height != height) {\n            canvas.width = width;\n            canvas.height = height;\n        }\n        else if (!this.containerReused) {\n            context.clearRect(0, 0, width, height);\n        }\n        // clipped rendering if layer extent is set\n        var clipped = false;\n        var render = true;\n        if (layerState.extent) {\n            var layerExtent = fromUserExtent(layerState.extent, viewState.projection);\n            render = intersectsExtent(layerExtent, frameState.extent);\n            clipped = render && !containsExtent(layerExtent, frameState.extent);\n            if (clipped) {\n                this.clipUnrotated(context, frameState, layerExtent);\n            }\n        }\n        var img = image.getImage();\n        var transform = composeTransform(this.tempTransform, width / 2, height / 2, scale, scale, 0, (imagePixelRatio * (imageExtent[0] - viewCenter[0])) / imageResolution, (imagePixelRatio * (viewCenter[1] - imageExtent[3])) / imageResolution);\n        this.renderedResolution = (imageResolution * pixelRatio) / imagePixelRatio;\n        var dw = img.width * transform[0];\n        var dh = img.height * transform[3];\n        if (!this.getLayer().getSource().getInterpolate()) {\n            assign(context, IMAGE_SMOOTHING_DISABLED);\n        }\n        this.preRender(context, frameState);\n        if (render && dw >= 0.5 && dh >= 0.5) {\n            var dx = transform[4];\n            var dy = transform[5];\n            var opacity = layerState.opacity;\n            var previousAlpha = void 0;\n            if (opacity !== 1) {\n                previousAlpha = context.globalAlpha;\n                context.globalAlpha = opacity;\n            }\n            context.drawImage(img, 0, 0, +img.width, +img.height, Math.round(dx), Math.round(dy), Math.round(dw), Math.round(dh));\n            if (opacity !== 1) {\n                context.globalAlpha = previousAlpha;\n            }\n        }\n        this.postRender(context, frameState);\n        if (clipped) {\n            context.restore();\n        }\n        if (canvasTransform !== canvas.style.transform) {\n            canvas.style.transform = canvasTransform;\n        }\n        return this.container;\n    };\n    return CanvasImageLayerRenderer;\n}(CanvasLayerRenderer));\nexport default CanvasImageLayerRenderer;\n//# sourceMappingURL=ImageLayer.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Image\n */\nimport BaseImageLayer from './BaseImage.js';\nimport CanvasImageLayerRenderer from '../renderer/canvas/ImageLayer.js';\n/**\n * @classdesc\n * Server-rendered images that are available for arbitrary extents and\n * resolutions.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Image.js\").default} ImageSourceType\n * @extends {BaseImageLayer<ImageSourceType, CanvasImageLayerRenderer>}\n * @api\n */\nvar ImageLayer = /** @class */ (function (_super) {\n    __extends(ImageLayer, _super);\n    /**\n     * @param {import(\"./BaseImage.js\").Options<ImageSourceType>} [opt_options] Layer options.\n     */\n    function ImageLayer(opt_options) {\n        return _super.call(this, opt_options) || this;\n    }\n    ImageLayer.prototype.createRenderer = function () {\n        return new CanvasImageLayerRenderer(this);\n    };\n    return ImageLayer;\n}(BaseImageLayer));\nexport default ImageLayer;\n//# sourceMappingURL=Image.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/canvas/TileLayer\n */\nimport CanvasLayerRenderer from './Layer.js';\nimport TileRange from '../../TileRange.js';\nimport TileState from '../../TileState.js';\nimport { IMAGE_SMOOTHING_DISABLED } from './common.js';\nimport { apply as applyTransform, compose as composeTransform, makeInverse, } from '../../transform.js';\nimport { assign } from '../../obj.js';\nimport { createEmpty, equals, getIntersection, getTopLeft, } from '../../extent.js';\nimport { cssOpacity } from '../../css.js';\nimport { fromUserExtent } from '../../proj.js';\nimport { getUid } from '../../util.js';\nimport { numberSafeCompareFunction } from '../../array.js';\nimport { toString as toTransformString } from '../../transform.js';\n/**\n * @classdesc\n * Canvas renderer for tile layers.\n * @api\n */\nvar CanvasTileLayerRenderer = /** @class */ (function (_super) {\n    __extends(CanvasTileLayerRenderer, _super);\n    /**\n     * @param {import(\"../../layer/Tile.js\").default|import(\"../../layer/VectorTile.js\").default} tileLayer Tile layer.\n     */\n    function CanvasTileLayerRenderer(tileLayer) {\n        var _this = _super.call(this, tileLayer) || this;\n        /**\n         * Rendered extent has changed since the previous `renderFrame()` call\n         * @type {boolean}\n         */\n        _this.extentChanged = true;\n        /**\n         * @private\n         * @type {?import(\"../../extent.js\").Extent}\n         */\n        _this.renderedExtent_ = null;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.renderedPixelRatio;\n        /**\n         * @protected\n         * @type {import(\"../../proj/Projection.js\").default}\n         */\n        _this.renderedProjection = null;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.renderedRevision;\n        /**\n         * @protected\n         * @type {!Array<import(\"../../Tile.js\").default>}\n         */\n        _this.renderedTiles = [];\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.newTiles_ = false;\n        /**\n         * @protected\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.tmpExtent = createEmpty();\n        /**\n         * @private\n         * @type {import(\"../../TileRange.js\").default}\n         */\n        _this.tmpTileRange_ = new TileRange(0, 0, 0, 0);\n        return _this;\n    }\n    /**\n     * @protected\n     * @param {import(\"../../Tile.js\").default} tile Tile.\n     * @return {boolean} Tile is drawable.\n     */\n    CanvasTileLayerRenderer.prototype.isDrawableTile = function (tile) {\n        var tileLayer = this.getLayer();\n        var tileState = tile.getState();\n        var useInterimTilesOnError = tileLayer.getUseInterimTilesOnError();\n        return (tileState == TileState.LOADED ||\n            tileState == TileState.EMPTY ||\n            (tileState == TileState.ERROR && !useInterimTilesOnError));\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {!import(\"../../Tile.js\").default} Tile.\n     */\n    CanvasTileLayerRenderer.prototype.getTile = function (z, x, y, frameState) {\n        var pixelRatio = frameState.pixelRatio;\n        var projection = frameState.viewState.projection;\n        var tileLayer = this.getLayer();\n        var tileSource = tileLayer.getSource();\n        var tile = tileSource.getTile(z, x, y, pixelRatio, projection);\n        if (tile.getState() == TileState.ERROR) {\n            if (!tileLayer.getUseInterimTilesOnError()) {\n                // When useInterimTilesOnError is false, we consider the error tile as loaded.\n                tile.setState(TileState.LOADED);\n            }\n            else if (tileLayer.getPreload() > 0) {\n                // Preloaded tiles for lower resolutions might have finished loading.\n                this.newTiles_ = true;\n            }\n        }\n        if (!this.isDrawableTile(tile)) {\n            tile = tile.getInterimTile();\n        }\n        return tile;\n    };\n    /**\n     * @param {Object<number, Object<string, import(\"../../Tile.js\").default>>} tiles Lookup of loaded tiles by zoom level.\n     * @param {number} zoom Zoom level.\n     * @param {import(\"../../Tile.js\").default} tile Tile.\n     * @return {boolean|void} If `false`, the tile will not be considered loaded.\n     */\n    CanvasTileLayerRenderer.prototype.loadedTileCallback = function (tiles, zoom, tile) {\n        if (this.isDrawableTile(tile)) {\n            return _super.prototype.loadedTileCallback.call(this, tiles, zoom, tile);\n        }\n        return false;\n    };\n    /**\n     * Determine whether render should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    CanvasTileLayerRenderer.prototype.prepareFrame = function (frameState) {\n        return !!this.getLayer().getSource();\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target that may be used to render content to.\n     * @return {HTMLElement} The rendered element.\n     */\n    CanvasTileLayerRenderer.prototype.renderFrame = function (frameState, target) {\n        var layerState = frameState.layerStatesArray[frameState.layerIndex];\n        var viewState = frameState.viewState;\n        var projection = viewState.projection;\n        var viewResolution = viewState.resolution;\n        var viewCenter = viewState.center;\n        var rotation = viewState.rotation;\n        var pixelRatio = frameState.pixelRatio;\n        var tileLayer = this.getLayer();\n        var tileSource = tileLayer.getSource();\n        var sourceRevision = tileSource.getRevision();\n        var tileGrid = tileSource.getTileGridForProjection(projection);\n        var z = tileGrid.getZForResolution(viewResolution, tileSource.zDirection);\n        var tileResolution = tileGrid.getResolution(z);\n        var extent = frameState.extent;\n        var layerExtent = layerState.extent && fromUserExtent(layerState.extent, projection);\n        if (layerExtent) {\n            extent = getIntersection(extent, fromUserExtent(layerState.extent, projection));\n        }\n        var tilePixelRatio = tileSource.getTilePixelRatio(pixelRatio);\n        // desired dimensions of the canvas in pixels\n        var width = Math.round(frameState.size[0] * tilePixelRatio);\n        var height = Math.round(frameState.size[1] * tilePixelRatio);\n        if (rotation) {\n            var size = Math.round(Math.sqrt(width * width + height * height));\n            width = size;\n            height = size;\n        }\n        var dx = (tileResolution * width) / 2 / tilePixelRatio;\n        var dy = (tileResolution * height) / 2 / tilePixelRatio;\n        var canvasExtent = [\n            viewCenter[0] - dx,\n            viewCenter[1] - dy,\n            viewCenter[0] + dx,\n            viewCenter[1] + dy,\n        ];\n        var tileRange = tileGrid.getTileRangeForExtentAndZ(extent, z);\n        /**\n         * @type {Object<number, Object<string, import(\"../../Tile.js\").default>>}\n         */\n        var tilesToDrawByZ = {};\n        tilesToDrawByZ[z] = {};\n        var findLoadedTiles = this.createLoadedTileFinder(tileSource, projection, tilesToDrawByZ);\n        var tmpExtent = this.tmpExtent;\n        var tmpTileRange = this.tmpTileRange_;\n        this.newTiles_ = false;\n        for (var x = tileRange.minX; x <= tileRange.maxX; ++x) {\n            for (var y = tileRange.minY; y <= tileRange.maxY; ++y) {\n                var tile = this.getTile(z, x, y, frameState);\n                if (this.isDrawableTile(tile)) {\n                    var uid = getUid(this);\n                    if (tile.getState() == TileState.LOADED) {\n                        tilesToDrawByZ[z][tile.tileCoord.toString()] = tile;\n                        var inTransition = tile.inTransition(uid);\n                        if (!this.newTiles_ &&\n                            (inTransition || this.renderedTiles.indexOf(tile) === -1)) {\n                            this.newTiles_ = true;\n                        }\n                    }\n                    if (tile.getAlpha(uid, frameState.time) === 1) {\n                        // don't look for alt tiles if alpha is 1\n                        continue;\n                    }\n                }\n                var childTileRange = tileGrid.getTileCoordChildTileRange(tile.tileCoord, tmpTileRange, tmpExtent);\n                var covered = false;\n                if (childTileRange) {\n                    covered = findLoadedTiles(z + 1, childTileRange);\n                }\n                if (!covered) {\n                    tileGrid.forEachTileCoordParentTileRange(tile.tileCoord, findLoadedTiles, tmpTileRange, tmpExtent);\n                }\n            }\n        }\n        var canvasScale = tileResolution / viewResolution;\n        // set forward and inverse pixel transforms\n        composeTransform(this.pixelTransform, frameState.size[0] / 2, frameState.size[1] / 2, 1 / tilePixelRatio, 1 / tilePixelRatio, rotation, -width / 2, -height / 2);\n        var canvasTransform = toTransformString(this.pixelTransform);\n        this.useContainer(target, canvasTransform, layerState.opacity, this.getBackground(frameState));\n        var context = this.context;\n        var canvas = context.canvas;\n        makeInverse(this.inversePixelTransform, this.pixelTransform);\n        // set scale transform for calculating tile positions on the canvas\n        composeTransform(this.tempTransform, width / 2, height / 2, canvasScale, canvasScale, 0, -width / 2, -height / 2);\n        if (canvas.width != width || canvas.height != height) {\n            canvas.width = width;\n            canvas.height = height;\n        }\n        else if (!this.containerReused) {\n            context.clearRect(0, 0, width, height);\n        }\n        if (layerExtent) {\n            this.clipUnrotated(context, frameState, layerExtent);\n        }\n        if (!tileSource.getInterpolate()) {\n            assign(context, IMAGE_SMOOTHING_DISABLED);\n        }\n        this.preRender(context, frameState);\n        this.renderedTiles.length = 0;\n        /** @type {Array<number>} */\n        var zs = Object.keys(tilesToDrawByZ).map(Number);\n        zs.sort(numberSafeCompareFunction);\n        var clips, clipZs, currentClip;\n        if (layerState.opacity === 1 &&\n            (!this.containerReused ||\n                tileSource.getOpaque(frameState.viewState.projection))) {\n            zs = zs.reverse();\n        }\n        else {\n            clips = [];\n            clipZs = [];\n        }\n        for (var i = zs.length - 1; i >= 0; --i) {\n            var currentZ = zs[i];\n            var currentTilePixelSize = tileSource.getTilePixelSize(currentZ, pixelRatio, projection);\n            var currentResolution = tileGrid.getResolution(currentZ);\n            var currentScale = currentResolution / tileResolution;\n            var dx_1 = currentTilePixelSize[0] * currentScale * canvasScale;\n            var dy_1 = currentTilePixelSize[1] * currentScale * canvasScale;\n            var originTileCoord = tileGrid.getTileCoordForCoordAndZ(getTopLeft(canvasExtent), currentZ);\n            var originTileExtent = tileGrid.getTileCoordExtent(originTileCoord);\n            var origin_1 = applyTransform(this.tempTransform, [\n                (tilePixelRatio * (originTileExtent[0] - canvasExtent[0])) /\n                    tileResolution,\n                (tilePixelRatio * (canvasExtent[3] - originTileExtent[3])) /\n                    tileResolution,\n            ]);\n            var tileGutter = tilePixelRatio * tileSource.getGutterForProjection(projection);\n            var tilesToDraw = tilesToDrawByZ[currentZ];\n            for (var tileCoordKey in tilesToDraw) {\n                var tile = /** @type {import(\"../../ImageTile.js\").default} */ (tilesToDraw[tileCoordKey]);\n                var tileCoord = tile.tileCoord;\n                // Calculate integer positions and sizes so that tiles align\n                var xIndex = originTileCoord[1] - tileCoord[1];\n                var nextX = Math.round(origin_1[0] - (xIndex - 1) * dx_1);\n                var yIndex = originTileCoord[2] - tileCoord[2];\n                var nextY = Math.round(origin_1[1] - (yIndex - 1) * dy_1);\n                var x = Math.round(origin_1[0] - xIndex * dx_1);\n                var y = Math.round(origin_1[1] - yIndex * dy_1);\n                var w = nextX - x;\n                var h = nextY - y;\n                var transition = z === currentZ;\n                var inTransition = transition && tile.getAlpha(getUid(this), frameState.time) !== 1;\n                if (!inTransition) {\n                    if (clips) {\n                        // Clip mask for regions in this tile that already filled by a higher z tile\n                        context.save();\n                        currentClip = [x, y, x + w, y, x + w, y + h, x, y + h];\n                        for (var i_1 = 0, ii = clips.length; i_1 < ii; ++i_1) {\n                            if (z !== currentZ && currentZ < clipZs[i_1]) {\n                                var clip = clips[i_1];\n                                context.beginPath();\n                                // counter-clockwise (outer ring) for current tile\n                                context.moveTo(currentClip[0], currentClip[1]);\n                                context.lineTo(currentClip[2], currentClip[3]);\n                                context.lineTo(currentClip[4], currentClip[5]);\n                                context.lineTo(currentClip[6], currentClip[7]);\n                                // clockwise (inner ring) for higher z tile\n                                context.moveTo(clip[6], clip[7]);\n                                context.lineTo(clip[4], clip[5]);\n                                context.lineTo(clip[2], clip[3]);\n                                context.lineTo(clip[0], clip[1]);\n                                context.clip();\n                            }\n                        }\n                        clips.push(currentClip);\n                        clipZs.push(currentZ);\n                    }\n                    else {\n                        context.clearRect(x, y, w, h);\n                    }\n                }\n                this.drawTileImage(tile, frameState, x, y, w, h, tileGutter, transition);\n                if (clips && !inTransition) {\n                    context.restore();\n                    this.renderedTiles.unshift(tile);\n                }\n                else {\n                    this.renderedTiles.push(tile);\n                }\n                this.updateUsedTiles(frameState.usedTiles, tileSource, tile);\n            }\n        }\n        this.renderedRevision = sourceRevision;\n        this.renderedResolution = tileResolution;\n        this.extentChanged =\n            !this.renderedExtent_ || !equals(this.renderedExtent_, canvasExtent);\n        this.renderedExtent_ = canvasExtent;\n        this.renderedPixelRatio = pixelRatio;\n        this.renderedProjection = projection;\n        this.manageTilePyramid(frameState, tileSource, tileGrid, pixelRatio, projection, extent, z, tileLayer.getPreload());\n        this.scheduleExpireCache(frameState, tileSource);\n        this.postRender(context, frameState);\n        if (layerState.extent) {\n            context.restore();\n        }\n        if (canvasTransform !== canvas.style.transform) {\n            canvas.style.transform = canvasTransform;\n        }\n        var opacity = cssOpacity(layerState.opacity);\n        var container = this.container;\n        if (opacity !== container.style.opacity) {\n            container.style.opacity = opacity;\n        }\n        return this.container;\n    };\n    /**\n     * @param {import(\"../../ImageTile.js\").default} tile Tile.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {number} x Left of the tile.\n     * @param {number} y Top of the tile.\n     * @param {number} w Width of the tile.\n     * @param {number} h Height of the tile.\n     * @param {number} gutter Tile gutter.\n     * @param {boolean} transition Apply an alpha transition.\n     */\n    CanvasTileLayerRenderer.prototype.drawTileImage = function (tile, frameState, x, y, w, h, gutter, transition) {\n        var image = this.getTileImage(tile);\n        if (!image) {\n            return;\n        }\n        var uid = getUid(this);\n        var alpha = transition ? tile.getAlpha(uid, frameState.time) : 1;\n        var alphaChanged = alpha !== this.context.globalAlpha;\n        if (alphaChanged) {\n            this.context.save();\n            this.context.globalAlpha = alpha;\n        }\n        this.context.drawImage(image, gutter, gutter, image.width - 2 * gutter, image.height - 2 * gutter, x, y, w, h);\n        if (alphaChanged) {\n            this.context.restore();\n        }\n        if (alpha !== 1) {\n            frameState.animate = true;\n        }\n        else if (transition) {\n            tile.endTransition(uid);\n        }\n    };\n    /**\n     * @return {HTMLCanvasElement} Image\n     */\n    CanvasTileLayerRenderer.prototype.getImage = function () {\n        var context = this.context;\n        return context ? context.canvas : null;\n    };\n    /**\n     * Get the image from a tile.\n     * @param {import(\"../../ImageTile.js\").default} tile Tile.\n     * @return {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} Image.\n     * @protected\n     */\n    CanvasTileLayerRenderer.prototype.getTileImage = function (tile) {\n        return tile.getImage();\n    };\n    /**\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"../../source/Tile.js\").default} tileSource Tile source.\n     * @protected\n     */\n    CanvasTileLayerRenderer.prototype.scheduleExpireCache = function (frameState, tileSource) {\n        if (tileSource.canExpireCache()) {\n            /**\n             * @param {import(\"../../source/Tile.js\").default} tileSource Tile source.\n             * @param {import(\"../../PluggableMap.js\").default} map Map.\n             * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n             */\n            var postRenderFunction = function (tileSource, map, frameState) {\n                var tileSourceKey = getUid(tileSource);\n                if (tileSourceKey in frameState.usedTiles) {\n                    tileSource.expireCache(frameState.viewState.projection, frameState.usedTiles[tileSourceKey]);\n                }\n            }.bind(null, tileSource);\n            frameState.postRenderFunctions.push(\n            /** @type {import(\"../../PluggableMap.js\").PostRenderFunction} */ (postRenderFunction));\n        }\n    };\n    /**\n     * @param {!Object<string, !Object<string, boolean>>} usedTiles Used tiles.\n     * @param {import(\"../../source/Tile.js\").default} tileSource Tile source.\n     * @param {import('../../Tile.js').default} tile Tile.\n     * @protected\n     */\n    CanvasTileLayerRenderer.prototype.updateUsedTiles = function (usedTiles, tileSource, tile) {\n        // FIXME should we use tilesToDrawByZ instead?\n        var tileSourceKey = getUid(tileSource);\n        if (!(tileSourceKey in usedTiles)) {\n            usedTiles[tileSourceKey] = {};\n        }\n        usedTiles[tileSourceKey][tile.getKey()] = true;\n    };\n    /**\n     * Manage tile pyramid.\n     * This function performs a number of functions related to the tiles at the\n     * current zoom and lower zoom levels:\n     * - registers idle tiles in frameState.wantedTiles so that they are not\n     *   discarded by the tile queue\n     * - enqueues missing tiles\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"../../source/Tile.js\").default} tileSource Tile source.\n     * @param {import(\"../../tilegrid/TileGrid.js\").default} tileGrid Tile grid.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../../proj/Projection.js\").default} projection Projection.\n     * @param {import(\"../../extent.js\").Extent} extent Extent.\n     * @param {number} currentZ Current Z.\n     * @param {number} preload Load low resolution tiles up to 'preload' levels.\n     * @param {function(import(\"../../Tile.js\").default):void} [opt_tileCallback] Tile callback.\n     * @protected\n     */\n    CanvasTileLayerRenderer.prototype.manageTilePyramid = function (frameState, tileSource, tileGrid, pixelRatio, projection, extent, currentZ, preload, opt_tileCallback) {\n        var tileSourceKey = getUid(tileSource);\n        if (!(tileSourceKey in frameState.wantedTiles)) {\n            frameState.wantedTiles[tileSourceKey] = {};\n        }\n        var wantedTiles = frameState.wantedTiles[tileSourceKey];\n        var tileQueue = frameState.tileQueue;\n        var minZoom = tileGrid.getMinZoom();\n        var tileCount = 0;\n        var tile, tileRange, tileResolution, x, y, z;\n        for (z = minZoom; z <= currentZ; ++z) {\n            tileRange = tileGrid.getTileRangeForExtentAndZ(extent, z, tileRange);\n            tileResolution = tileGrid.getResolution(z);\n            for (x = tileRange.minX; x <= tileRange.maxX; ++x) {\n                for (y = tileRange.minY; y <= tileRange.maxY; ++y) {\n                    if (currentZ - z <= preload) {\n                        ++tileCount;\n                        tile = tileSource.getTile(z, x, y, pixelRatio, projection);\n                        if (tile.getState() == TileState.IDLE) {\n                            wantedTiles[tile.getKey()] = true;\n                            if (!tileQueue.isKeyQueued(tile.getKey())) {\n                                tileQueue.enqueue([\n                                    tile,\n                                    tileSourceKey,\n                                    tileGrid.getTileCoordCenter(tile.tileCoord),\n                                    tileResolution,\n                                ]);\n                            }\n                        }\n                        if (opt_tileCallback !== undefined) {\n                            opt_tileCallback(tile);\n                        }\n                    }\n                    else {\n                        tileSource.useTile(z, x, y, projection);\n                    }\n                }\n            }\n        }\n        tileSource.updateCacheSize(tileCount, projection);\n    };\n    return CanvasTileLayerRenderer;\n}(CanvasLayerRenderer));\n/**\n * @function\n * @return {import(\"../../layer/Tile.js\").default|import(\"../../layer/VectorTile.js\").default}\n */\nCanvasTileLayerRenderer.prototype.getLayer;\nexport default CanvasTileLayerRenderer;\n//# sourceMappingURL=TileLayer.js.map","/**\n * @module ol/layer/VectorTileRenderType\n */\n/**\n * @enum {string}\n * Render mode for vector tiles:\n * @api\n */\nexport default {\n    /**\n     * Vector tiles are rendered as images. Great performance, but\n     * point symbols and texts are always rotated with the view and pixels are\n     * scaled during zoom animations\n     * @api\n     * @deprecated\n     */\n    IMAGE: 'image',\n    /**\n     * Polygon and line elements are rendered as images, so pixels\n     * are scaled during zoom animations. Point symbols and texts are accurately\n     * rendered as vectors and can stay upright on rotated views.\n     * @api\n     */\n    HYBRID: 'hybrid',\n    /**\n     * Everything is rendered as vectors. Use this mode for improved\n     * performance on vector tile layers with only a few rendered features (e.g.\n     * for highlighting a subset of features of another layer with the same\n     * source).\n     * @api\n     */\n    VECTOR: 'vector',\n};\n//# sourceMappingURL=VectorTileRenderType.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/canvas/VectorTileLayer\n */\nimport CanvasBuilderGroup from '../../render/canvas/BuilderGroup.js';\nimport CanvasExecutorGroup from '../../render/canvas/ExecutorGroup.js';\nimport CanvasTileLayerRenderer from './TileLayer.js';\nimport ReplayType from '../../render/canvas/BuilderType.js';\nimport TileState from '../../TileState.js';\nimport VectorTileRenderType from '../../layer/VectorTileRenderType.js';\nimport ViewHint from '../../ViewHint.js';\nimport { HIT_DETECT_RESOLUTION, createHitDetectionImageData, hitDetect, } from '../../render/canvas/hitdetect.js';\nimport { apply as applyTransform, create as createTransform, multiply, reset as resetTransform, scale, scale as scaleTransform, translate as translateTransform, } from '../../transform.js';\nimport { boundingExtent, buffer, containsExtent, equals, getIntersection, getTopLeft, intersects, } from '../../extent.js';\nimport { getSquaredTolerance as getSquaredRenderTolerance, renderFeature, } from '../vector.js';\nimport { getUid } from '../../util.js';\nimport { toSize } from '../../size.js';\nimport { wrapX } from '../../coordinate.js';\n/**\n * @type {!Object<string, Array<import(\"../../render/canvas/BuilderType.js\").default>>}\n */\nvar IMAGE_REPLAYS = {\n    'image': [\n        ReplayType.POLYGON,\n        ReplayType.CIRCLE,\n        ReplayType.LINE_STRING,\n        ReplayType.IMAGE,\n        ReplayType.TEXT,\n    ],\n    'hybrid': [ReplayType.POLYGON, ReplayType.LINE_STRING],\n    'vector': [],\n};\n/**\n * @type {!Object<string, Array<import(\"../../render/canvas/BuilderType.js\").default>>}\n */\nvar VECTOR_REPLAYS = {\n    'hybrid': [ReplayType.IMAGE, ReplayType.TEXT, ReplayType.DEFAULT],\n    'vector': [\n        ReplayType.POLYGON,\n        ReplayType.CIRCLE,\n        ReplayType.LINE_STRING,\n        ReplayType.IMAGE,\n        ReplayType.TEXT,\n        ReplayType.DEFAULT,\n    ],\n};\n/**\n * @classdesc\n * Canvas renderer for vector tile layers.\n * @api\n */\nvar CanvasVectorTileLayerRenderer = /** @class */ (function (_super) {\n    __extends(CanvasVectorTileLayerRenderer, _super);\n    /**\n     * @param {import(\"../../layer/VectorTile.js\").default} layer VectorTile layer.\n     */\n    function CanvasVectorTileLayerRenderer(layer) {\n        var _this = _super.call(this, layer) || this;\n        /** @private */\n        _this.boundHandleStyleImageChange_ = _this.handleStyleImageChange_.bind(_this);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.dirty_ = false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedLayerRevision_;\n        /**\n         * @private\n         * @type {import(\"../../transform\").Transform}\n         */\n        _this.renderedPixelToCoordinateTransform_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedRotation_;\n        /**\n         * @private\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.tmpTransform_ = createTransform();\n        return _this;\n    }\n    /**\n     * @param {import(\"../../VectorRenderTile.js\").default} tile Tile.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../../proj/Projection\").default} projection Projection.\n     * @return {boolean|undefined} Tile needs to be rendered.\n     */\n    CanvasVectorTileLayerRenderer.prototype.prepareTile = function (tile, pixelRatio, projection) {\n        var render;\n        var state = tile.getState();\n        if (state === TileState.LOADED || state === TileState.ERROR) {\n            this.updateExecutorGroup_(tile, pixelRatio, projection);\n            if (this.tileImageNeedsRender_(tile)) {\n                render = true;\n            }\n        }\n        return render;\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {!import(\"../../Tile.js\").default} Tile.\n     */\n    CanvasVectorTileLayerRenderer.prototype.getTile = function (z, x, y, frameState) {\n        var pixelRatio = frameState.pixelRatio;\n        var viewState = frameState.viewState;\n        var resolution = viewState.resolution;\n        var projection = viewState.projection;\n        var layer = this.getLayer();\n        var tile = layer.getSource().getTile(z, x, y, pixelRatio, projection);\n        var viewHints = frameState.viewHints;\n        var hifi = !(viewHints[ViewHint.ANIMATING] || viewHints[ViewHint.INTERACTING]);\n        if (hifi || !tile.wantedResolution) {\n            tile.wantedResolution = resolution;\n        }\n        var render = this.prepareTile(tile, pixelRatio, projection);\n        if (render &&\n            (hifi || Date.now() - frameState.time < 8) &&\n            layer.getRenderMode() !== VectorTileRenderType.VECTOR) {\n            this.renderTileImage_(tile, frameState);\n        }\n        return _super.prototype.getTile.call(this, z, x, y, frameState);\n    };\n    /**\n     * @param {import(\"../../VectorRenderTile.js\").default} tile Tile.\n     * @return {boolean} Tile is drawable.\n     */\n    CanvasVectorTileLayerRenderer.prototype.isDrawableTile = function (tile) {\n        var layer = this.getLayer();\n        return (_super.prototype.isDrawableTile.call(this, tile) &&\n            (layer.getRenderMode() === VectorTileRenderType.VECTOR\n                ? getUid(layer) in tile.executorGroups\n                : tile.hasContext(layer)));\n    };\n    /**\n     * @inheritDoc\n     */\n    CanvasVectorTileLayerRenderer.prototype.getTileImage = function (tile) {\n        return tile.getImage(this.getLayer());\n    };\n    /**\n     * Determine whether render should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    CanvasVectorTileLayerRenderer.prototype.prepareFrame = function (frameState) {\n        var layerRevision = this.getLayer().getRevision();\n        if (this.renderedLayerRevision_ != layerRevision) {\n            this.renderedTiles.length = 0;\n        }\n        this.renderedLayerRevision_ = layerRevision;\n        return _super.prototype.prepareFrame.call(this, frameState);\n    };\n    /**\n     * @param {import(\"../../VectorRenderTile.js\").default} tile Tile.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../../proj/Projection.js\").default} projection Projection.\n     * @private\n     */\n    CanvasVectorTileLayerRenderer.prototype.updateExecutorGroup_ = function (tile, pixelRatio, projection) {\n        var layer = /** @type {import(\"../../layer/VectorTile.js\").default} */ (this.getLayer());\n        var revision = layer.getRevision();\n        var renderOrder = layer.getRenderOrder() || null;\n        var resolution = tile.wantedResolution;\n        var builderState = tile.getReplayState(layer);\n        if (!builderState.dirty &&\n            builderState.renderedResolution === resolution &&\n            builderState.renderedRevision == revision &&\n            builderState.renderedRenderOrder == renderOrder) {\n            return;\n        }\n        var source = layer.getSource();\n        var declutter = layer.getDeclutter();\n        var sourceTileGrid = source.getTileGrid();\n        var tileGrid = source.getTileGridForProjection(projection);\n        var tileExtent = tileGrid.getTileCoordExtent(tile.wrappedTileCoord);\n        var sourceTiles = source.getSourceTiles(pixelRatio, projection, tile);\n        var layerUid = getUid(layer);\n        delete tile.hitDetectionImageData[layerUid];\n        tile.executorGroups[layerUid] = [];\n        if (declutter) {\n            tile.declutterExecutorGroups[layerUid] = [];\n        }\n        var _loop_1 = function (t, tt) {\n            var sourceTile = sourceTiles[t];\n            if (sourceTile.getState() != TileState.LOADED) {\n                return \"continue\";\n            }\n            var sourceTileCoord = sourceTile.tileCoord;\n            var sourceTileExtent = sourceTileGrid.getTileCoordExtent(sourceTileCoord);\n            var sharedExtent = getIntersection(tileExtent, sourceTileExtent);\n            var builderExtent = buffer(sharedExtent, layer.getRenderBuffer() * resolution, this_1.tmpExtent);\n            var bufferedExtent = equals(sourceTileExtent, sharedExtent)\n                ? null\n                : builderExtent;\n            builderState.dirty = false;\n            var builderGroup = new CanvasBuilderGroup(0, builderExtent, resolution, pixelRatio);\n            var declutterBuilderGroup = declutter\n                ? new CanvasBuilderGroup(0, sharedExtent, resolution, pixelRatio)\n                : undefined;\n            var squaredTolerance = getSquaredRenderTolerance(resolution, pixelRatio);\n            /**\n             * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n             * @this {CanvasVectorTileLayerRenderer}\n             */\n            var render = function (feature) {\n                var styles;\n                var styleFunction = feature.getStyleFunction() || layer.getStyleFunction();\n                if (styleFunction) {\n                    styles = styleFunction(feature, resolution);\n                }\n                if (styles) {\n                    var dirty = this.renderFeature(feature, squaredTolerance, styles, builderGroup, declutterBuilderGroup);\n                    this.dirty_ = this.dirty_ || dirty;\n                    builderState.dirty = builderState.dirty || dirty;\n                }\n            };\n            var features = sourceTile.getFeatures();\n            if (renderOrder && renderOrder !== builderState.renderedRenderOrder) {\n                features.sort(renderOrder);\n            }\n            for (var i = 0, ii = features.length; i < ii; ++i) {\n                var feature = features[i];\n                if (!bufferedExtent ||\n                    intersects(bufferedExtent, feature.getGeometry().getExtent())) {\n                    render.call(this_1, feature);\n                }\n            }\n            var executorGroupInstructions = builderGroup.finish();\n            // no need to clip when the render tile is covered by a single source tile\n            var replayExtent = layer.getRenderMode() !== VectorTileRenderType.VECTOR &&\n                declutter &&\n                sourceTiles.length === 1\n                ? null\n                : sharedExtent;\n            var renderingReplayGroup = new CanvasExecutorGroup(replayExtent, resolution, pixelRatio, source.getOverlaps(), executorGroupInstructions, layer.getRenderBuffer());\n            tile.executorGroups[layerUid].push(renderingReplayGroup);\n            if (declutterBuilderGroup) {\n                var declutterExecutorGroup = new CanvasExecutorGroup(null, resolution, pixelRatio, source.getOverlaps(), declutterBuilderGroup.finish(), layer.getRenderBuffer());\n                tile.declutterExecutorGroups[layerUid].push(declutterExecutorGroup);\n            }\n        };\n        var this_1 = this;\n        for (var t = 0, tt = sourceTiles.length; t < tt; ++t) {\n            _loop_1(t, tt);\n        }\n        builderState.renderedRevision = revision;\n        builderState.renderedRenderOrder = renderOrder;\n        builderState.renderedResolution = resolution;\n    };\n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {import(\"../vector.js\").FeatureCallback<T>} callback Feature callback.\n     * @param {Array<import(\"../Map.js\").HitMatch<T>>} matches The hit detected matches with tolerance.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    CanvasVectorTileLayerRenderer.prototype.forEachFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, callback, matches) {\n        var resolution = frameState.viewState.resolution;\n        var rotation = frameState.viewState.rotation;\n        hitTolerance = hitTolerance == undefined ? 0 : hitTolerance;\n        var layer = this.getLayer();\n        var source = layer.getSource();\n        var tileGrid = source.getTileGridForProjection(frameState.viewState.projection);\n        var hitExtent = boundingExtent([coordinate]);\n        buffer(hitExtent, resolution * hitTolerance, hitExtent);\n        /** @type {!Object<string, import(\"../Map.js\").HitMatch<T>|true>} */\n        var features = {};\n        /**\n         * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n         * @param {import(\"../../geom/SimpleGeometry.js\").default} geometry Geometry.\n         * @param {number} distanceSq The squared distance to the click position.\n         * @return {T|undefined} Callback result.\n         */\n        var featureCallback = function (feature, geometry, distanceSq) {\n            var key = feature.getId();\n            if (key === undefined) {\n                key = getUid(feature);\n            }\n            var match = features[key];\n            if (!match) {\n                if (distanceSq === 0) {\n                    features[key] = true;\n                    return callback(feature, layer, geometry);\n                }\n                matches.push((features[key] = {\n                    feature: feature,\n                    layer: layer,\n                    geometry: geometry,\n                    distanceSq: distanceSq,\n                    callback: callback,\n                }));\n            }\n            else if (match !== true && distanceSq < match.distanceSq) {\n                if (distanceSq === 0) {\n                    features[key] = true;\n                    matches.splice(matches.lastIndexOf(match), 1);\n                    return callback(feature, layer, geometry);\n                }\n                match.geometry = geometry;\n                match.distanceSq = distanceSq;\n            }\n            return undefined;\n        };\n        var renderedTiles = \n        /** @type {Array<import(\"../../VectorRenderTile.js\").default>} */ (this.renderedTiles);\n        var found;\n        var _loop_2 = function (i, ii) {\n            var tile = renderedTiles[i];\n            var tileExtent = tileGrid.getTileCoordExtent(tile.wrappedTileCoord);\n            if (!intersects(tileExtent, hitExtent)) {\n                return \"continue\";\n            }\n            var layerUid = getUid(layer);\n            var executorGroups = [tile.executorGroups[layerUid]];\n            var declutterExecutorGroups = tile.declutterExecutorGroups[layerUid];\n            if (declutterExecutorGroups) {\n                executorGroups.push(declutterExecutorGroups);\n            }\n            executorGroups.some(function (executorGroups) {\n                var declutteredFeatures = executorGroups === declutterExecutorGroups\n                    ? frameState.declutterTree.all().map(function (item) { return item.value; })\n                    : null;\n                for (var t = 0, tt = executorGroups.length; t < tt; ++t) {\n                    var executorGroup = executorGroups[t];\n                    found = executorGroup.forEachFeatureAtCoordinate(coordinate, resolution, rotation, hitTolerance, featureCallback, declutteredFeatures);\n                    if (found) {\n                        return true;\n                    }\n                }\n            });\n        };\n        for (var i = 0, ii = renderedTiles.length; !found && i < ii; ++i) {\n            _loop_2(i, ii);\n        }\n        return found;\n    };\n    /**\n     * Asynchronous layer level hit detection.\n     * @param {import(\"../../pixel.js\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../../Feature\").default>>} Promise that resolves with an array of features.\n     */\n    CanvasVectorTileLayerRenderer.prototype.getFeatures = function (pixel) {\n        return new Promise(function (resolve, reject) {\n            var layer = \n            /** @type {import(\"../../layer/VectorTile.js\").default} */ (this.getLayer());\n            var layerUid = getUid(layer);\n            var source = layer.getSource();\n            var projection = this.renderedProjection;\n            var projectionExtent = projection.getExtent();\n            var resolution = this.renderedResolution;\n            var tileGrid = source.getTileGridForProjection(projection);\n            var coordinate = applyTransform(this.renderedPixelToCoordinateTransform_, pixel.slice());\n            var tileCoord = tileGrid.getTileCoordForCoordAndResolution(coordinate, resolution);\n            var tile;\n            for (var i = 0, ii = this.renderedTiles.length; i < ii; ++i) {\n                if (tileCoord.toString() === this.renderedTiles[i].tileCoord.toString()) {\n                    tile = this.renderedTiles[i];\n                    if (tile.getState() === TileState.LOADED) {\n                        var extent_1 = tileGrid.getTileCoordExtent(tile.tileCoord);\n                        if (source.getWrapX() &&\n                            projection.canWrapX() &&\n                            !containsExtent(projectionExtent, extent_1)) {\n                            wrapX(coordinate, projection);\n                        }\n                        break;\n                    }\n                    tile = undefined;\n                }\n            }\n            if (!tile || tile.loadingSourceTiles > 0) {\n                resolve([]);\n                return;\n            }\n            var extent = tileGrid.getTileCoordExtent(tile.wrappedTileCoord);\n            var corner = getTopLeft(extent);\n            var tilePixel = [\n                (coordinate[0] - corner[0]) / resolution,\n                (corner[1] - coordinate[1]) / resolution,\n            ];\n            var features = tile\n                .getSourceTiles()\n                .reduce(function (accumulator, sourceTile) {\n                return accumulator.concat(sourceTile.getFeatures());\n            }, []);\n            var hitDetectionImageData = tile.hitDetectionImageData[layerUid];\n            if (!hitDetectionImageData && !this.animatingOrInteracting_) {\n                var tileSize = toSize(tileGrid.getTileSize(tileGrid.getZForResolution(resolution)));\n                var rotation = this.renderedRotation_;\n                var transforms = [\n                    this.getRenderTransform(tileGrid.getTileCoordCenter(tile.wrappedTileCoord), resolution, 0, HIT_DETECT_RESOLUTION, tileSize[0] * HIT_DETECT_RESOLUTION, tileSize[1] * HIT_DETECT_RESOLUTION, 0),\n                ];\n                hitDetectionImageData = createHitDetectionImageData(tileSize, transforms, features, layer.getStyleFunction(), tileGrid.getTileCoordExtent(tile.wrappedTileCoord), tile.getReplayState(layer).renderedResolution, rotation);\n                tile.hitDetectionImageData[layerUid] = hitDetectionImageData;\n            }\n            resolve(hitDetect(tilePixel, features, hitDetectionImageData));\n        }.bind(this));\n    };\n    /**\n     * Perform action necessary to get the layer rendered after new fonts have loaded\n     */\n    CanvasVectorTileLayerRenderer.prototype.handleFontsChanged = function () {\n        var layer = this.getLayer();\n        if (layer.getVisible() && this.renderedLayerRevision_ !== undefined) {\n            layer.changed();\n        }\n    };\n    /**\n     * Handle changes in image style state.\n     * @param {import(\"../../events/Event.js\").default} event Image style change event.\n     * @private\n     */\n    CanvasVectorTileLayerRenderer.prototype.handleStyleImageChange_ = function (event) {\n        this.renderIfReadyAndVisible();\n    };\n    /**\n     * Render declutter items for this layer\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    CanvasVectorTileLayerRenderer.prototype.renderDeclutter = function (frameState) {\n        var context = this.context;\n        var alpha = context.globalAlpha;\n        context.globalAlpha = this.getLayer().getOpacity();\n        var viewHints = frameState.viewHints;\n        var hifi = !(viewHints[ViewHint.ANIMATING] || viewHints[ViewHint.INTERACTING]);\n        var tiles = \n        /** @type {Array<import(\"../../VectorRenderTile.js\").default>} */ (this.renderedTiles);\n        for (var i = 0, ii = tiles.length; i < ii; ++i) {\n            var tile = tiles[i];\n            var declutterExecutorGroups = tile.declutterExecutorGroups[getUid(this.getLayer())];\n            if (declutterExecutorGroups) {\n                for (var j = declutterExecutorGroups.length - 1; j >= 0; --j) {\n                    declutterExecutorGroups[j].execute(this.context, 1, this.getTileRenderTransform(tile, frameState), frameState.viewState.rotation, hifi, undefined, frameState.declutterTree);\n                }\n            }\n        }\n        context.globalAlpha = alpha;\n    };\n    CanvasVectorTileLayerRenderer.prototype.getTileRenderTransform = function (tile, frameState) {\n        var pixelRatio = frameState.pixelRatio;\n        var viewState = frameState.viewState;\n        var center = viewState.center;\n        var resolution = viewState.resolution;\n        var rotation = viewState.rotation;\n        var size = frameState.size;\n        var width = Math.round(size[0] * pixelRatio);\n        var height = Math.round(size[1] * pixelRatio);\n        var source = this.getLayer().getSource();\n        var tileGrid = source.getTileGridForProjection(frameState.viewState.projection);\n        var tileCoord = tile.tileCoord;\n        var tileExtent = tileGrid.getTileCoordExtent(tile.wrappedTileCoord);\n        var worldOffset = tileGrid.getTileCoordExtent(tileCoord, this.tmpExtent)[0] - tileExtent[0];\n        var transform = multiply(scale(this.inversePixelTransform.slice(), 1 / pixelRatio, 1 / pixelRatio), this.getRenderTransform(center, resolution, rotation, pixelRatio, width, height, worldOffset));\n        return transform;\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target that may be used to render content to.\n     * @return {HTMLElement} The rendered element.\n     */\n    CanvasVectorTileLayerRenderer.prototype.renderFrame = function (frameState, target) {\n        var viewHints = frameState.viewHints;\n        var hifi = !(viewHints[ViewHint.ANIMATING] || viewHints[ViewHint.INTERACTING]);\n        _super.prototype.renderFrame.call(this, frameState, target);\n        this.renderedPixelToCoordinateTransform_ =\n            frameState.pixelToCoordinateTransform.slice();\n        this.renderedRotation_ = frameState.viewState.rotation;\n        var layer = /** @type {import(\"../../layer/VectorTile.js\").default} */ (this.getLayer());\n        var renderMode = layer.getRenderMode();\n        var context = this.context;\n        var alpha = context.globalAlpha;\n        context.globalAlpha = layer.getOpacity();\n        var replayTypes = VECTOR_REPLAYS[renderMode];\n        var viewState = frameState.viewState;\n        var rotation = viewState.rotation;\n        var tiles = this.renderedTiles;\n        var clips = [];\n        var clipZs = [];\n        for (var i = tiles.length - 1; i >= 0; --i) {\n            var tile = /** @type {import(\"../../VectorRenderTile.js\").default} */ (tiles[i]);\n            var transform = this.getTileRenderTransform(tile, frameState);\n            var executorGroups = tile.executorGroups[getUid(layer)];\n            var clipped = false;\n            for (var t = 0, tt = executorGroups.length; t < tt; ++t) {\n                var executorGroup = executorGroups[t];\n                if (!executorGroup.hasExecutors(replayTypes)) {\n                    // sourceTile has no instructions of the types we want to render\n                    continue;\n                }\n                var currentZ = tile.tileCoord[0];\n                var currentClip = void 0;\n                if (!clipped) {\n                    currentClip = executorGroup.getClipCoords(transform);\n                    if (currentClip) {\n                        context.save();\n                        // Create a clip mask for regions in this low resolution tile that are\n                        // already filled by a higher resolution tile\n                        for (var j = 0, jj = clips.length; j < jj; ++j) {\n                            var clip = clips[j];\n                            if (currentZ < clipZs[j]) {\n                                context.beginPath();\n                                // counter-clockwise (outer ring) for current tile\n                                context.moveTo(currentClip[0], currentClip[1]);\n                                context.lineTo(currentClip[2], currentClip[3]);\n                                context.lineTo(currentClip[4], currentClip[5]);\n                                context.lineTo(currentClip[6], currentClip[7]);\n                                // clockwise (inner ring) for higher resolution tile\n                                context.moveTo(clip[6], clip[7]);\n                                context.lineTo(clip[4], clip[5]);\n                                context.lineTo(clip[2], clip[3]);\n                                context.lineTo(clip[0], clip[1]);\n                                context.clip();\n                            }\n                        }\n                    }\n                }\n                executorGroup.execute(context, 1, transform, rotation, hifi, replayTypes);\n                if (!clipped && currentClip) {\n                    context.restore();\n                    clips.push(currentClip);\n                    clipZs.push(currentZ);\n                    clipped = true;\n                }\n            }\n        }\n        context.globalAlpha = alpha;\n        return this.container;\n    };\n    /**\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     * @param {number} squaredTolerance Squared tolerance.\n     * @param {import(\"../../style/Style.js\").default|Array<import(\"../../style/Style.js\").default>} styles The style or array of styles.\n     * @param {import(\"../../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n     * @param {import(\"../../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder group for decluttering.\n     * @return {boolean} `true` if an image is loading.\n     */\n    CanvasVectorTileLayerRenderer.prototype.renderFeature = function (feature, squaredTolerance, styles, builderGroup, opt_declutterBuilderGroup) {\n        if (!styles) {\n            return false;\n        }\n        var loading = false;\n        if (Array.isArray(styles)) {\n            for (var i = 0, ii = styles.length; i < ii; ++i) {\n                loading =\n                    renderFeature(builderGroup, feature, styles[i], squaredTolerance, this.boundHandleStyleImageChange_, undefined, opt_declutterBuilderGroup) || loading;\n            }\n        }\n        else {\n            loading = renderFeature(builderGroup, feature, styles, squaredTolerance, this.boundHandleStyleImageChange_, undefined, opt_declutterBuilderGroup);\n        }\n        return loading;\n    };\n    /**\n     * @param {import(\"../../VectorRenderTile.js\").default} tile Tile.\n     * @return {boolean} A new tile image was rendered.\n     * @private\n     */\n    CanvasVectorTileLayerRenderer.prototype.tileImageNeedsRender_ = function (tile) {\n        var layer = /** @type {import(\"../../layer/VectorTile.js\").default} */ (this.getLayer());\n        if (layer.getRenderMode() === VectorTileRenderType.VECTOR) {\n            return false;\n        }\n        var replayState = tile.getReplayState(layer);\n        var revision = layer.getRevision();\n        var resolution = tile.wantedResolution;\n        return (replayState.renderedTileResolution !== resolution ||\n            replayState.renderedTileRevision !== revision);\n    };\n    /**\n     * @param {import(\"../../VectorRenderTile.js\").default} tile Tile.\n     * @param {import(\"../../PluggableMap\").FrameState} frameState Frame state.\n     * @private\n     */\n    CanvasVectorTileLayerRenderer.prototype.renderTileImage_ = function (tile, frameState) {\n        var layer = /** @type {import(\"../../layer/VectorTile.js\").default} */ (this.getLayer());\n        var replayState = tile.getReplayState(layer);\n        var revision = layer.getRevision();\n        var executorGroups = tile.executorGroups[getUid(layer)];\n        replayState.renderedTileRevision = revision;\n        var tileCoord = tile.wrappedTileCoord;\n        var z = tileCoord[0];\n        var source = layer.getSource();\n        var pixelRatio = frameState.pixelRatio;\n        var viewState = frameState.viewState;\n        var projection = viewState.projection;\n        var tileGrid = source.getTileGridForProjection(projection);\n        var tileResolution = tileGrid.getResolution(tile.tileCoord[0]);\n        var renderPixelRatio = (frameState.pixelRatio / tile.wantedResolution) * tileResolution;\n        var resolution = tileGrid.getResolution(z);\n        var context = tile.getContext(layer);\n        // Increase tile size when overzooming for low pixel ratio, to avoid blurry tiles\n        pixelRatio = Math.round(Math.max(pixelRatio, renderPixelRatio / pixelRatio));\n        var size = source.getTilePixelSize(z, pixelRatio, projection);\n        context.canvas.width = size[0];\n        context.canvas.height = size[1];\n        var renderScale = pixelRatio / renderPixelRatio;\n        if (renderScale !== 1) {\n            var canvasTransform = resetTransform(this.tmpTransform_);\n            scaleTransform(canvasTransform, renderScale, renderScale);\n            context.setTransform.apply(context, canvasTransform);\n        }\n        var tileExtent = tileGrid.getTileCoordExtent(tileCoord, this.tmpExtent);\n        var pixelScale = renderPixelRatio / resolution;\n        var transform = resetTransform(this.tmpTransform_);\n        scaleTransform(transform, pixelScale, -pixelScale);\n        translateTransform(transform, -tileExtent[0], -tileExtent[3]);\n        for (var i = 0, ii = executorGroups.length; i < ii; ++i) {\n            var executorGroup = executorGroups[i];\n            executorGroup.execute(context, renderScale, transform, 0, true, IMAGE_REPLAYS[layer.getRenderMode()]);\n        }\n        replayState.renderedTileResolution = tile.wantedResolution;\n    };\n    return CanvasVectorTileLayerRenderer;\n}(CanvasTileLayerRenderer));\nexport default CanvasVectorTileLayerRenderer;\n//# sourceMappingURL=VectorTileLayer.js.map","/**\n * @module ol/layer/TileProperty\n */\n/**\n * @enum {string}\n */\nexport default {\n    PRELOAD: 'preload',\n    USE_INTERIM_TILES_ON_ERROR: 'useInterimTilesOnError',\n};\n//# sourceMappingURL=TileProperty.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/VectorTile\n */\nimport BaseVectorLayer from './BaseVector.js';\nimport CanvasVectorTileLayerRenderer from '../renderer/canvas/VectorTileLayer.js';\nimport TileProperty from './TileProperty.js';\nimport VectorTileRenderType from './VectorTileRenderType.js';\nimport { assert } from '../asserts.js';\nimport { assign } from '../obj.js';\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./Base\").BaseLayerObjectEventTypes|\n *     'change:source'|'change:preload'|'change:useInterimTilesOnError', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../render/EventType\").LayerRenderEventTypes, import(\"../render/Event\").default, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"./Base\").BaseLayerObjectEventTypes|\n *     'change:source'|'change:preload'|'change:useInterimTilesOnError'|import(\"../render/EventType\").LayerRenderEventTypes, Return>} VectorTileLayerOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {import(\"../render.js\").OrderFunction} [renderOrder] Render order. Function to be used when sorting\n * features before rendering. By default features are drawn in the order that they are created. Use\n * `null` to avoid the sort, but get an undefined draw order.\n * @property {number} [renderBuffer=100] The buffer in pixels around the tile extent used by the\n * renderer when getting features from the vector tile for the rendering or hit-detection.\n * Recommended value: Vector tiles are usually generated with a buffer, so this value should match\n * the largest possible buffer of the used tiles. It should be at least the size of the largest\n * point symbol or line width.\n * @property {import(\"./VectorTileRenderType.js\").default|string} [renderMode='hybrid'] Render mode for vector tiles:\n *  * `'hybrid'`: Polygon and line elements are rendered as images, so pixels are scaled during zoom\n *    animations. Point symbols and texts are accurately rendered as vectors and can stay upright on\n *    rotated views.\n *  * `'vector'`: Everything is rendered as vectors. Use this mode for improved performance on vector\n *    tile layers with only a few rendered features (e.g. for highlighting a subset of features of\n *    another layer with the same source).\n * @property {import(\"../source/VectorTile.js\").default} [source] Source.\n * @property {import(\"../PluggableMap.js\").default} [map] Sets the layer as overlay on a map. The map will not manage\n * this layer in its layers collection, and the layer will be rendered on top. This is useful for\n * temporary layers. The standard way to add a layer to a map and have it managed by the map is to\n * use {@link import(\"../PluggableMap.js\").default#addLayer map.addLayer()}.\n * @property {boolean} [declutter=false] Declutter images and text. Decluttering is applied to all\n * image and text styles of all Vector and VectorTile layers that have set this to `true`. The priority\n * is defined by the z-index of the layer, the `zIndex` of the style and the render order of features.\n * Higher z-index means higher priority. Within the same z-index, a feature rendered before another has\n * higher priority.\n * @property {import(\"../style/Style.js\").StyleLike|null} [style] Layer style. When set to `null`, only\n * features that have their own style will be rendered. See {@link module:ol/style/Style~Style} for the default style\n * which will be used if this is not set.\n * @property {import(\"./Base.js\").BackgroundColor|false} [background] Background color for the layer. If not specified, no\n * background will be rendered.\n * @property {boolean} [updateWhileAnimating=false] When set to `true`, feature batches will be\n * recreated during animations. This means that no vectors will be shown clipped, but the setting\n * will have a performance impact for large amounts of vector data. When set to `false`, batches\n * will be recreated when no animation is active.\n * @property {boolean} [updateWhileInteracting=false] When set to `true`, feature batches will be\n * recreated during interactions. See also `updateWhileAnimating`.\n * @property {number} [preload=0] Preload. Load low-resolution tiles up to `preload` levels. `0`\n * means no preloading.\n * @property {boolean} [useInterimTilesOnError=true] Use interim tiles on error.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @classdesc\n * Layer for vector tile data that is rendered client-side.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @param {Options} [opt_options] Options.\n * @extends {BaseVectorLayer<import(\"../source/VectorTile.js\").default, CanvasVectorTileLayerRenderer>}\n * @api\n */\nvar VectorTileLayer = /** @class */ (function (_super) {\n    __extends(VectorTileLayer, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function VectorTileLayer(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var baseOptions = /** @type {Object} */ (assign({}, options));\n        delete baseOptions.preload;\n        delete baseOptions.useInterimTilesOnError;\n        _this = _super.call(this, \n        /** @type {import(\"./BaseVector.js\").Options<import(\"../source/VectorTile.js\").default>} */ (baseOptions)) || this;\n        /***\n         * @type {VectorTileLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {VectorTileLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {VectorTileLayerOnSignature<void>}\n         */\n        _this.un;\n        if (options.renderMode === VectorTileRenderType.IMAGE) {\n            //FIXME deprecated - remove this check in v7.\n            //eslint-disable-next-line\n            console.warn('renderMode: \"image\" is deprecated. Option ignored.');\n            options.renderMode = undefined;\n        }\n        var renderMode = options.renderMode || VectorTileRenderType.HYBRID;\n        assert(renderMode == VectorTileRenderType.HYBRID ||\n            renderMode == VectorTileRenderType.VECTOR, 28); // `renderMode` must be `'hybrid'` or `'vector'`.\n        /**\n         * @private\n         * @type {import(\"./VectorTileRenderType.js\").default}\n         */\n        _this.renderMode_ = renderMode;\n        _this.setPreload(options.preload ? options.preload : 0);\n        _this.setUseInterimTilesOnError(options.useInterimTilesOnError !== undefined\n            ? options.useInterimTilesOnError\n            : true);\n        /**\n         * @return {import(\"./Base.js\").BackgroundColor} Background color.\n         * @function\n         * @api\n         */\n        _this.getBackground;\n        /**\n         * @param {import(\"./Base.js\").BackgroundColor} background Background color.\n         * @function\n         * @api\n         */\n        _this.setBackground;\n        return _this;\n    }\n    VectorTileLayer.prototype.createRenderer = function () {\n        return new CanvasVectorTileLayerRenderer(this);\n    };\n    /**\n     * Get the topmost feature that intersects the given pixel on the viewport. Returns a promise\n     * that resolves with an array of features. The array will either contain the topmost feature\n     * when a hit was detected, or it will be empty.\n     *\n     * The hit detection algorithm used for this method is optimized for performance, but is less\n     * accurate than the one used in {@link import(\"../PluggableMap.js\").default#getFeaturesAtPixel map.getFeaturesAtPixel()}: Text\n     * is not considered, and icons are only represented by their bounding box instead of the exact\n     * image.\n     *\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../Feature\").default>>} Promise that resolves with an array of features.\n     * @api\n     */\n    VectorTileLayer.prototype.getFeatures = function (pixel) {\n        return _super.prototype.getFeatures.call(this, pixel);\n    };\n    /**\n     * @return {import(\"./VectorTileRenderType.js\").default} The render mode.\n     */\n    VectorTileLayer.prototype.getRenderMode = function () {\n        return this.renderMode_;\n    };\n    /**\n     * Return the level as number to which we will preload tiles up to.\n     * @return {number} The level to preload tiles up to.\n     * @observable\n     * @api\n     */\n    VectorTileLayer.prototype.getPreload = function () {\n        return /** @type {number} */ (this.get(TileProperty.PRELOAD));\n    };\n    /**\n     * Whether we use interim tiles on error.\n     * @return {boolean} Use interim tiles on error.\n     * @observable\n     * @api\n     */\n    VectorTileLayer.prototype.getUseInterimTilesOnError = function () {\n        return /** @type {boolean} */ (this.get(TileProperty.USE_INTERIM_TILES_ON_ERROR));\n    };\n    /**\n     * Set the level as number to which we will preload tiles up to.\n     * @param {number} preload The level to preload tiles up to.\n     * @observable\n     * @api\n     */\n    VectorTileLayer.prototype.setPreload = function (preload) {\n        this.set(TileProperty.PRELOAD, preload);\n    };\n    /**\n     * Set whether we use interim tiles on error.\n     * @param {boolean} useInterimTilesOnError Use interim tiles on error.\n     * @observable\n     * @api\n     */\n    VectorTileLayer.prototype.setUseInterimTilesOnError = function (useInterimTilesOnError) {\n        this.set(TileProperty.USE_INTERIM_TILES_ON_ERROR, useInterimTilesOnError);\n    };\n    return VectorTileLayer;\n}(BaseVectorLayer));\nexport default VectorTileLayer;\n//# sourceMappingURL=VectorTile.js.map","/**\n * @module ol/source/TileEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered when a tile starts loading.\n     * @event module:ol/source/Tile.TileSourceEvent#tileloadstart\n     * @api\n     */\n    TILELOADSTART: 'tileloadstart',\n    /**\n     * Triggered when a tile finishes loading, either when its data is loaded,\n     * or when loading was aborted because the tile is no longer needed.\n     * @event module:ol/source/Tile.TileSourceEvent#tileloadend\n     * @api\n     */\n    TILELOADEND: 'tileloadend',\n    /**\n     * Triggered if tile loading results in an error.\n     * @event module:ol/source/Tile.TileSourceEvent#tileloaderror\n     * @api\n     */\n    TILELOADERROR: 'tileloaderror',\n};\n/**\n * @typedef {'tileloadstart'|'tileloadend'|'tileloaderror'} TileSourceEventTypes\n */\n//# sourceMappingURL=TileEventType.js.map","/**\n * @module ol/tilegrid/TileGrid\n */\nimport TileRange, { createOrUpdate as createOrUpdateTileRange, } from '../TileRange.js';\nimport { DEFAULT_TILE_SIZE } from './common.js';\nimport { assert } from '../asserts.js';\nimport { ceil, clamp, floor } from '../math.js';\nimport { createOrUpdate, getTopLeft } from '../extent.js';\nimport { createOrUpdate as createOrUpdateTileCoord } from '../tilecoord.js';\nimport { isSorted, linearFindNearest } from '../array.js';\nimport { toSize } from '../size.js';\n/**\n * @private\n * @type {import(\"../tilecoord.js\").TileCoord}\n */\nvar tmpTileCoord = [0, 0, 0];\n/**\n * Number of decimal digits to consider in integer values when rounding.\n * @type {number}\n */\nvar DECIMALS = 5;\n/**\n * @typedef {Object} Options\n * @property {import(\"../extent.js\").Extent} [extent] Extent for the tile grid. No tiles outside this\n * extent will be requested by {@link module:ol/source/Tile} sources. When no `origin` or\n * `origins` are configured, the `origin` will be set to the top-left corner of the extent.\n * @property {number} [minZoom=0] Minimum zoom.\n * @property {import(\"../coordinate.js\").Coordinate} [origin] The tile grid origin, i.e. where the `x`\n * and `y` axes meet (`[z, 0, 0]`). Tile coordinates increase left to right and downwards. If not\n * specified, `extent` or `origins` must be provided.\n * @property {Array<import(\"../coordinate.js\").Coordinate>} [origins] Tile grid origins, i.e. where\n * the `x` and `y` axes meet (`[z, 0, 0]`), for each zoom level. If given, the array length\n * should match the length of the `resolutions` array, i.e. each resolution can have a different\n * origin. Tile coordinates increase left to right and downwards. If not specified, `extent` or\n * `origin` must be provided.\n * @property {!Array<number>} resolutions Resolutions. The array index of each resolution needs\n * to match the zoom level. This means that even if a `minZoom` is configured, the resolutions\n * array will have a length of `maxZoom + 1`.\n * @property {Array<import(\"../size.js\").Size>} [sizes] Number of tile rows and columns\n * of the grid for each zoom level. If specified the values\n * define each zoom level's extent together with the `origin` or `origins`.\n * A grid `extent` can be configured in addition, and will further limit the extent\n * for which tile requests are made by sources. If the bottom-left corner of\n * an extent is used as `origin` or `origins`, then the `y` value must be\n * negative because OpenLayers tile coordinates use the top left as the origin.\n * @property {number|import(\"../size.js\").Size} [tileSize] Tile size.\n * Default is `[256, 256]`.\n * @property {Array<import(\"../size.js\").Size>} [tileSizes] Tile sizes. If given, the array length\n * should match the length of the `resolutions` array, i.e. each resolution can have a different\n * tile size.\n */\n/**\n * @classdesc\n * Base class for setting the grid pattern for sources accessing tiled-image\n * servers.\n * @api\n */\nvar TileGrid = /** @class */ (function () {\n    /**\n     * @param {Options} options Tile grid options.\n     */\n    function TileGrid(options) {\n        /**\n         * @protected\n         * @type {number}\n         */\n        this.minZoom = options.minZoom !== undefined ? options.minZoom : 0;\n        /**\n         * @private\n         * @type {!Array<number>}\n         */\n        this.resolutions_ = options.resolutions;\n        assert(isSorted(this.resolutions_, function (a, b) {\n            return b - a;\n        }, true), 17); // `resolutions` must be sorted in descending order\n        // check if we've got a consistent zoom factor and origin\n        var zoomFactor;\n        if (!options.origins) {\n            for (var i = 0, ii = this.resolutions_.length - 1; i < ii; ++i) {\n                if (!zoomFactor) {\n                    zoomFactor = this.resolutions_[i] / this.resolutions_[i + 1];\n                }\n                else {\n                    if (this.resolutions_[i] / this.resolutions_[i + 1] !== zoomFactor) {\n                        zoomFactor = undefined;\n                        break;\n                    }\n                }\n            }\n        }\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.zoomFactor_ = zoomFactor;\n        /**\n         * @protected\n         * @type {number}\n         */\n        this.maxZoom = this.resolutions_.length - 1;\n        /**\n         * @private\n         * @type {import(\"../coordinate.js\").Coordinate}\n         */\n        this.origin_ = options.origin !== undefined ? options.origin : null;\n        /**\n         * @private\n         * @type {Array<import(\"../coordinate.js\").Coordinate>}\n         */\n        this.origins_ = null;\n        if (options.origins !== undefined) {\n            this.origins_ = options.origins;\n            assert(this.origins_.length == this.resolutions_.length, 20); // Number of `origins` and `resolutions` must be equal\n        }\n        var extent = options.extent;\n        if (extent !== undefined && !this.origin_ && !this.origins_) {\n            this.origin_ = getTopLeft(extent);\n        }\n        assert((!this.origin_ && this.origins_) || (this.origin_ && !this.origins_), 18); // Either `origin` or `origins` must be configured, never both\n        /**\n         * @private\n         * @type {Array<number|import(\"../size.js\").Size>}\n         */\n        this.tileSizes_ = null;\n        if (options.tileSizes !== undefined) {\n            this.tileSizes_ = options.tileSizes;\n            assert(this.tileSizes_.length == this.resolutions_.length, 19); // Number of `tileSizes` and `resolutions` must be equal\n        }\n        /**\n         * @private\n         * @type {number|import(\"../size.js\").Size}\n         */\n        this.tileSize_ =\n            options.tileSize !== undefined\n                ? options.tileSize\n                : !this.tileSizes_\n                    ? DEFAULT_TILE_SIZE\n                    : null;\n        assert((!this.tileSize_ && this.tileSizes_) ||\n            (this.tileSize_ && !this.tileSizes_), 22); // Either `tileSize` or `tileSizes` must be configured, never both\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        this.extent_ = extent !== undefined ? extent : null;\n        /**\n         * @private\n         * @type {Array<import(\"../TileRange.js\").default>}\n         */\n        this.fullTileRanges_ = null;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        this.tmpSize_ = [0, 0];\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        this.tmpExtent_ = [0, 0, 0, 0];\n        if (options.sizes !== undefined) {\n            this.fullTileRanges_ = options.sizes.map(function (size, z) {\n                var tileRange = new TileRange(Math.min(0, size[0]), Math.max(size[0] - 1, -1), Math.min(0, size[1]), Math.max(size[1] - 1, -1));\n                if (extent) {\n                    var restrictedTileRange = this.getTileRangeForExtentAndZ(extent, z);\n                    tileRange.minX = Math.max(restrictedTileRange.minX, tileRange.minX);\n                    tileRange.maxX = Math.min(restrictedTileRange.maxX, tileRange.maxX);\n                    tileRange.minY = Math.max(restrictedTileRange.minY, tileRange.minY);\n                    tileRange.maxY = Math.min(restrictedTileRange.maxY, tileRange.maxY);\n                }\n                return tileRange;\n            }, this);\n        }\n        else if (extent) {\n            this.calculateTileRanges_(extent);\n        }\n    }\n    /**\n     * Call a function with each tile coordinate for a given extent and zoom level.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} zoom Integer zoom level.\n     * @param {function(import(\"../tilecoord.js\").TileCoord): void} callback Function called with each tile coordinate.\n     * @api\n     */\n    TileGrid.prototype.forEachTileCoord = function (extent, zoom, callback) {\n        var tileRange = this.getTileRangeForExtentAndZ(extent, zoom);\n        for (var i = tileRange.minX, ii = tileRange.maxX; i <= ii; ++i) {\n            for (var j = tileRange.minY, jj = tileRange.maxY; j <= jj; ++j) {\n                callback([zoom, i, j]);\n            }\n        }\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {function(number, import(\"../TileRange.js\").default): boolean} callback Callback.\n     * @param {import(\"../TileRange.js\").default} [opt_tileRange] Temporary import(\"../TileRange.js\").default object.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Temporary import(\"../extent.js\").Extent object.\n     * @return {boolean} Callback succeeded.\n     */\n    TileGrid.prototype.forEachTileCoordParentTileRange = function (tileCoord, callback, opt_tileRange, opt_extent) {\n        var tileRange, x, y;\n        var tileCoordExtent = null;\n        var z = tileCoord[0] - 1;\n        if (this.zoomFactor_ === 2) {\n            x = tileCoord[1];\n            y = tileCoord[2];\n        }\n        else {\n            tileCoordExtent = this.getTileCoordExtent(tileCoord, opt_extent);\n        }\n        while (z >= this.minZoom) {\n            if (this.zoomFactor_ === 2) {\n                x = Math.floor(x / 2);\n                y = Math.floor(y / 2);\n                tileRange = createOrUpdateTileRange(x, x, y, y, opt_tileRange);\n            }\n            else {\n                tileRange = this.getTileRangeForExtentAndZ(tileCoordExtent, z, opt_tileRange);\n            }\n            if (callback(z, tileRange)) {\n                return true;\n            }\n            --z;\n        }\n        return false;\n    };\n    /**\n     * Get the extent for this tile grid, if it was configured.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    TileGrid.prototype.getExtent = function () {\n        return this.extent_;\n    };\n    /**\n     * Get the maximum zoom level for the grid.\n     * @return {number} Max zoom.\n     * @api\n     */\n    TileGrid.prototype.getMaxZoom = function () {\n        return this.maxZoom;\n    };\n    /**\n     * Get the minimum zoom level for the grid.\n     * @return {number} Min zoom.\n     * @api\n     */\n    TileGrid.prototype.getMinZoom = function () {\n        return this.minZoom;\n    };\n    /**\n     * Get the origin for the grid at the given zoom level.\n     * @param {number} z Integer zoom level.\n     * @return {import(\"../coordinate.js\").Coordinate} Origin.\n     * @api\n     */\n    TileGrid.prototype.getOrigin = function (z) {\n        if (this.origin_) {\n            return this.origin_;\n        }\n        else {\n            return this.origins_[z];\n        }\n    };\n    /**\n     * Get the resolution for the given zoom level.\n     * @param {number} z Integer zoom level.\n     * @return {number} Resolution.\n     * @api\n     */\n    TileGrid.prototype.getResolution = function (z) {\n        return this.resolutions_[z];\n    };\n    /**\n     * Get the list of resolutions for the tile grid.\n     * @return {Array<number>} Resolutions.\n     * @api\n     */\n    TileGrid.prototype.getResolutions = function () {\n        return this.resolutions_;\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"../TileRange.js\").default} [opt_tileRange] Temporary import(\"../TileRange.js\").default object.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Temporary import(\"../extent.js\").Extent object.\n     * @return {import(\"../TileRange.js\").default} Tile range.\n     */\n    TileGrid.prototype.getTileCoordChildTileRange = function (tileCoord, opt_tileRange, opt_extent) {\n        if (tileCoord[0] < this.maxZoom) {\n            if (this.zoomFactor_ === 2) {\n                var minX = tileCoord[1] * 2;\n                var minY = tileCoord[2] * 2;\n                return createOrUpdateTileRange(minX, minX + 1, minY, minY + 1, opt_tileRange);\n            }\n            var tileCoordExtent = this.getTileCoordExtent(tileCoord, opt_extent || this.tmpExtent_);\n            return this.getTileRangeForExtentAndZ(tileCoordExtent, tileCoord[0] + 1, opt_tileRange);\n        }\n        return null;\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {number} z Integer zoom level.\n     * @param {import(\"../TileRange.js\").default} [opt_tileRange] Temporary import(\"../TileRange.js\").default object.\n     * @return {import(\"../TileRange.js\").default} Tile range.\n     */\n    TileGrid.prototype.getTileRangeForTileCoordAndZ = function (tileCoord, z, opt_tileRange) {\n        if (z > this.maxZoom || z < this.minZoom) {\n            return null;\n        }\n        var tileCoordZ = tileCoord[0];\n        var tileCoordX = tileCoord[1];\n        var tileCoordY = tileCoord[2];\n        if (z === tileCoordZ) {\n            return createOrUpdateTileRange(tileCoordX, tileCoordY, tileCoordX, tileCoordY, opt_tileRange);\n        }\n        if (this.zoomFactor_) {\n            var factor = Math.pow(this.zoomFactor_, z - tileCoordZ);\n            var minX = Math.floor(tileCoordX * factor);\n            var minY = Math.floor(tileCoordY * factor);\n            if (z < tileCoordZ) {\n                return createOrUpdateTileRange(minX, minX, minY, minY, opt_tileRange);\n            }\n            var maxX = Math.floor(factor * (tileCoordX + 1)) - 1;\n            var maxY = Math.floor(factor * (tileCoordY + 1)) - 1;\n            return createOrUpdateTileRange(minX, maxX, minY, maxY, opt_tileRange);\n        }\n        var tileCoordExtent = this.getTileCoordExtent(tileCoord, this.tmpExtent_);\n        return this.getTileRangeForExtentAndZ(tileCoordExtent, z, opt_tileRange);\n    };\n    /**\n     * Get the extent for a tile range.\n     * @param {number} z Integer zoom level.\n     * @param {import(\"../TileRange.js\").default} tileRange Tile range.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Temporary import(\"../extent.js\").Extent object.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     */\n    TileGrid.prototype.getTileRangeExtent = function (z, tileRange, opt_extent) {\n        var origin = this.getOrigin(z);\n        var resolution = this.getResolution(z);\n        var tileSize = toSize(this.getTileSize(z), this.tmpSize_);\n        var minX = origin[0] + tileRange.minX * tileSize[0] * resolution;\n        var maxX = origin[0] + (tileRange.maxX + 1) * tileSize[0] * resolution;\n        var minY = origin[1] + tileRange.minY * tileSize[1] * resolution;\n        var maxY = origin[1] + (tileRange.maxY + 1) * tileSize[1] * resolution;\n        return createOrUpdate(minX, minY, maxX, maxY, opt_extent);\n    };\n    /**\n     * Get a tile range for the given extent and integer zoom level.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} z Integer zoom level.\n     * @param {import(\"../TileRange.js\").default} [opt_tileRange] Temporary tile range object.\n     * @return {import(\"../TileRange.js\").default} Tile range.\n     */\n    TileGrid.prototype.getTileRangeForExtentAndZ = function (extent, z, opt_tileRange) {\n        var tileCoord = tmpTileCoord;\n        this.getTileCoordForXYAndZ_(extent[0], extent[3], z, false, tileCoord);\n        var minX = tileCoord[1];\n        var minY = tileCoord[2];\n        this.getTileCoordForXYAndZ_(extent[2], extent[1], z, true, tileCoord);\n        return createOrUpdateTileRange(minX, tileCoord[1], minY, tileCoord[2], opt_tileRange);\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @return {import(\"../coordinate.js\").Coordinate} Tile center.\n     */\n    TileGrid.prototype.getTileCoordCenter = function (tileCoord) {\n        var origin = this.getOrigin(tileCoord[0]);\n        var resolution = this.getResolution(tileCoord[0]);\n        var tileSize = toSize(this.getTileSize(tileCoord[0]), this.tmpSize_);\n        return [\n            origin[0] + (tileCoord[1] + 0.5) * tileSize[0] * resolution,\n            origin[1] - (tileCoord[2] + 0.5) * tileSize[1] * resolution,\n        ];\n    };\n    /**\n     * Get the extent of a tile coordinate.\n     *\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Temporary extent object.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    TileGrid.prototype.getTileCoordExtent = function (tileCoord, opt_extent) {\n        var origin = this.getOrigin(tileCoord[0]);\n        var resolution = this.getResolution(tileCoord[0]);\n        var tileSize = toSize(this.getTileSize(tileCoord[0]), this.tmpSize_);\n        var minX = origin[0] + tileCoord[1] * tileSize[0] * resolution;\n        var minY = origin[1] - (tileCoord[2] + 1) * tileSize[1] * resolution;\n        var maxX = minX + tileSize[0] * resolution;\n        var maxY = minY + tileSize[1] * resolution;\n        return createOrUpdate(minX, minY, maxX, maxY, opt_extent);\n    };\n    /**\n     * Get the tile coordinate for the given map coordinate and resolution.  This\n     * method considers that coordinates that intersect tile boundaries should be\n     * assigned the higher tile coordinate.\n     *\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {number} resolution Resolution.\n     * @param {import(\"../tilecoord.js\").TileCoord} [opt_tileCoord] Destination import(\"../tilecoord.js\").TileCoord object.\n     * @return {import(\"../tilecoord.js\").TileCoord} Tile coordinate.\n     * @api\n     */\n    TileGrid.prototype.getTileCoordForCoordAndResolution = function (coordinate, resolution, opt_tileCoord) {\n        return this.getTileCoordForXYAndResolution_(coordinate[0], coordinate[1], resolution, false, opt_tileCoord);\n    };\n    /**\n     * Note that this method should not be called for resolutions that correspond\n     * to an integer zoom level.  Instead call the `getTileCoordForXYAndZ_` method.\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {number} resolution Resolution (for a non-integer zoom level).\n     * @param {boolean} reverseIntersectionPolicy Instead of letting edge\n     *     intersections go to the higher tile coordinate, let edge intersections\n     *     go to the lower tile coordinate.\n     * @param {import(\"../tilecoord.js\").TileCoord} [opt_tileCoord] Temporary import(\"../tilecoord.js\").TileCoord object.\n     * @return {import(\"../tilecoord.js\").TileCoord} Tile coordinate.\n     * @private\n     */\n    TileGrid.prototype.getTileCoordForXYAndResolution_ = function (x, y, resolution, reverseIntersectionPolicy, opt_tileCoord) {\n        var z = this.getZForResolution(resolution);\n        var scale = resolution / this.getResolution(z);\n        var origin = this.getOrigin(z);\n        var tileSize = toSize(this.getTileSize(z), this.tmpSize_);\n        var tileCoordX = (scale * (x - origin[0])) / resolution / tileSize[0];\n        var tileCoordY = (scale * (origin[1] - y)) / resolution / tileSize[1];\n        if (reverseIntersectionPolicy) {\n            tileCoordX = ceil(tileCoordX, DECIMALS) - 1;\n            tileCoordY = ceil(tileCoordY, DECIMALS) - 1;\n        }\n        else {\n            tileCoordX = floor(tileCoordX, DECIMALS);\n            tileCoordY = floor(tileCoordY, DECIMALS);\n        }\n        return createOrUpdateTileCoord(z, tileCoordX, tileCoordY, opt_tileCoord);\n    };\n    /**\n     * Although there is repetition between this method and `getTileCoordForXYAndResolution_`,\n     * they should have separate implementations.  This method is for integer zoom\n     * levels.  The other method should only be called for resolutions corresponding\n     * to non-integer zoom levels.\n     * @param {number} x Map x coordinate.\n     * @param {number} y Map y coordinate.\n     * @param {number} z Integer zoom level.\n     * @param {boolean} reverseIntersectionPolicy Instead of letting edge\n     *     intersections go to the higher tile coordinate, let edge intersections\n     *     go to the lower tile coordinate.\n     * @param {import(\"../tilecoord.js\").TileCoord} [opt_tileCoord] Temporary import(\"../tilecoord.js\").TileCoord object.\n     * @return {import(\"../tilecoord.js\").TileCoord} Tile coordinate.\n     * @private\n     */\n    TileGrid.prototype.getTileCoordForXYAndZ_ = function (x, y, z, reverseIntersectionPolicy, opt_tileCoord) {\n        var origin = this.getOrigin(z);\n        var resolution = this.getResolution(z);\n        var tileSize = toSize(this.getTileSize(z), this.tmpSize_);\n        var tileCoordX = (x - origin[0]) / resolution / tileSize[0];\n        var tileCoordY = (origin[1] - y) / resolution / tileSize[1];\n        if (reverseIntersectionPolicy) {\n            tileCoordX = ceil(tileCoordX, DECIMALS) - 1;\n            tileCoordY = ceil(tileCoordY, DECIMALS) - 1;\n        }\n        else {\n            tileCoordX = floor(tileCoordX, DECIMALS);\n            tileCoordY = floor(tileCoordY, DECIMALS);\n        }\n        return createOrUpdateTileCoord(z, tileCoordX, tileCoordY, opt_tileCoord);\n    };\n    /**\n     * Get a tile coordinate given a map coordinate and zoom level.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {number} z Zoom level.\n     * @param {import(\"../tilecoord.js\").TileCoord} [opt_tileCoord] Destination import(\"../tilecoord.js\").TileCoord object.\n     * @return {import(\"../tilecoord.js\").TileCoord} Tile coordinate.\n     * @api\n     */\n    TileGrid.prototype.getTileCoordForCoordAndZ = function (coordinate, z, opt_tileCoord) {\n        return this.getTileCoordForXYAndZ_(coordinate[0], coordinate[1], z, false, opt_tileCoord);\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @return {number} Tile resolution.\n     */\n    TileGrid.prototype.getTileCoordResolution = function (tileCoord) {\n        return this.resolutions_[tileCoord[0]];\n    };\n    /**\n     * Get the tile size for a zoom level. The type of the return value matches the\n     * `tileSize` or `tileSizes` that the tile grid was configured with. To always\n     * get an `import(\"../size.js\").Size`, run the result through `import(\"../size.js\").Size.toSize()`.\n     * @param {number} z Z.\n     * @return {number|import(\"../size.js\").Size} Tile size.\n     * @api\n     */\n    TileGrid.prototype.getTileSize = function (z) {\n        if (this.tileSize_) {\n            return this.tileSize_;\n        }\n        else {\n            return this.tileSizes_[z];\n        }\n    };\n    /**\n     * @param {number} z Zoom level.\n     * @return {import(\"../TileRange.js\").default} Extent tile range for the specified zoom level.\n     */\n    TileGrid.prototype.getFullTileRange = function (z) {\n        if (!this.fullTileRanges_) {\n            return this.extent_\n                ? this.getTileRangeForExtentAndZ(this.extent_, z)\n                : null;\n        }\n        else {\n            return this.fullTileRanges_[z];\n        }\n    };\n    /**\n     * @param {number} resolution Resolution.\n     * @param {number|import(\"../array.js\").NearestDirectionFunction} [opt_direction]\n     *     If 0, the nearest resolution will be used.\n     *     If 1, the nearest higher resolution (lower Z) will be used. If -1, the\n     *     nearest lower resolution (higher Z) will be used. Default is 0.\n     *     Use a {@link module:ol/array~NearestDirectionFunction} for more precise control.\n     *\n     * For example to change tile Z at the midpoint of zoom levels\n     * ```js\n     * function(value, high, low) {\n     *   return value - low * Math.sqrt(high / low);\n     * }\n     * ```\n     * @return {number} Z.\n     * @api\n     */\n    TileGrid.prototype.getZForResolution = function (resolution, opt_direction) {\n        var z = linearFindNearest(this.resolutions_, resolution, opt_direction || 0);\n        return clamp(z, this.minZoom, this.maxZoom);\n    };\n    /**\n     * @param {!import(\"../extent.js\").Extent} extent Extent for this tile grid.\n     * @private\n     */\n    TileGrid.prototype.calculateTileRanges_ = function (extent) {\n        var length = this.resolutions_.length;\n        var fullTileRanges = new Array(length);\n        for (var z = this.minZoom; z < length; ++z) {\n            fullTileRanges[z] = this.getTileRangeForExtentAndZ(extent, z);\n        }\n        this.fullTileRanges_ = fullTileRanges;\n    };\n    return TileGrid;\n}());\nexport default TileGrid;\n//# sourceMappingURL=TileGrid.js.map","/**\n * @module ol/tilegrid\n */\nimport Corner from './extent/Corner.js';\nimport TileGrid from './tilegrid/TileGrid.js';\nimport Units from './proj/Units.js';\nimport { DEFAULT_MAX_ZOOM, DEFAULT_TILE_SIZE } from './tilegrid/common.js';\nimport { METERS_PER_UNIT, get as getProjection } from './proj.js';\nimport { containsCoordinate, createOrUpdate, getCorner, getHeight, getWidth, } from './extent.js';\nimport { toSize } from './size.js';\n/**\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @return {!TileGrid} Default tile grid for the\n * passed projection.\n */\nexport function getForProjection(projection) {\n    var tileGrid = projection.getDefaultTileGrid();\n    if (!tileGrid) {\n        tileGrid = createForProjection(projection);\n        projection.setDefaultTileGrid(tileGrid);\n    }\n    return tileGrid;\n}\n/**\n * @param {TileGrid} tileGrid Tile grid.\n * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @return {import(\"./tilecoord.js\").TileCoord} Tile coordinate.\n */\nexport function wrapX(tileGrid, tileCoord, projection) {\n    var z = tileCoord[0];\n    var center = tileGrid.getTileCoordCenter(tileCoord);\n    var projectionExtent = extentFromProjection(projection);\n    if (!containsCoordinate(projectionExtent, center)) {\n        var worldWidth = getWidth(projectionExtent);\n        var worldsAway = Math.ceil((projectionExtent[0] - center[0]) / worldWidth);\n        center[0] += worldWidth * worldsAway;\n        return tileGrid.getTileCoordForCoordAndZ(center, z);\n    }\n    else {\n        return tileCoord;\n    }\n}\n/**\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {number} [opt_maxZoom] Maximum zoom level (default is\n *     DEFAULT_MAX_ZOOM).\n * @param {number|import(\"./size.js\").Size} [opt_tileSize] Tile size (default uses\n *     DEFAULT_TILE_SIZE).\n * @param {import(\"./extent/Corner.js\").default} [opt_corner] Extent corner (default is `'top-left'`).\n * @return {!TileGrid} TileGrid instance.\n */\nexport function createForExtent(extent, opt_maxZoom, opt_tileSize, opt_corner) {\n    var corner = opt_corner !== undefined ? opt_corner : Corner.TOP_LEFT;\n    var resolutions = resolutionsFromExtent(extent, opt_maxZoom, opt_tileSize);\n    return new TileGrid({\n        extent: extent,\n        origin: getCorner(extent, corner),\n        resolutions: resolutions,\n        tileSize: opt_tileSize,\n    });\n}\n/**\n * @typedef {Object} XYZOptions\n * @property {import(\"./extent.js\").Extent} [extent] Extent for the tile grid. The origin for an XYZ tile grid is the\n * top-left corner of the extent. If `maxResolution` is not provided the zero level of the grid is defined by the resolution\n * at which one tile fits in the provided extent. If not provided, the extent of the EPSG:3857 projection is used.\n * @property {number} [maxResolution] Resolution at level zero.\n * @property {number} [maxZoom] Maximum zoom. The default is `42`. This determines the number of levels\n * in the grid set. For example, a `maxZoom` of 21 means there are 22 levels in the grid set.\n * @property {number} [minZoom=0] Minimum zoom.\n * @property {number|import(\"./size.js\").Size} [tileSize=[256, 256]] Tile size in pixels.\n */\n/**\n * Creates a tile grid with a standard XYZ tiling scheme.\n * @param {XYZOptions} [opt_options] Tile grid options.\n * @return {!TileGrid} Tile grid instance.\n * @api\n */\nexport function createXYZ(opt_options) {\n    var xyzOptions = opt_options || {};\n    var extent = xyzOptions.extent || getProjection('EPSG:3857').getExtent();\n    var gridOptions = {\n        extent: extent,\n        minZoom: xyzOptions.minZoom,\n        tileSize: xyzOptions.tileSize,\n        resolutions: resolutionsFromExtent(extent, xyzOptions.maxZoom, xyzOptions.tileSize, xyzOptions.maxResolution),\n    };\n    return new TileGrid(gridOptions);\n}\n/**\n * Create a resolutions array from an extent.  A zoom factor of 2 is assumed.\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {number} [opt_maxZoom] Maximum zoom level (default is\n *     DEFAULT_MAX_ZOOM).\n * @param {number|import(\"./size.js\").Size} [opt_tileSize] Tile size (default uses\n *     DEFAULT_TILE_SIZE).\n * @param {number} [opt_maxResolution] Resolution at level zero.\n * @return {!Array<number>} Resolutions array.\n */\nfunction resolutionsFromExtent(extent, opt_maxZoom, opt_tileSize, opt_maxResolution) {\n    var maxZoom = opt_maxZoom !== undefined ? opt_maxZoom : DEFAULT_MAX_ZOOM;\n    var height = getHeight(extent);\n    var width = getWidth(extent);\n    var tileSize = toSize(opt_tileSize !== undefined ? opt_tileSize : DEFAULT_TILE_SIZE);\n    var maxResolution = opt_maxResolution > 0\n        ? opt_maxResolution\n        : Math.max(width / tileSize[0], height / tileSize[1]);\n    var length = maxZoom + 1;\n    var resolutions = new Array(length);\n    for (var z = 0; z < length; ++z) {\n        resolutions[z] = maxResolution / Math.pow(2, z);\n    }\n    return resolutions;\n}\n/**\n * @param {import(\"./proj.js\").ProjectionLike} projection Projection.\n * @param {number} [opt_maxZoom] Maximum zoom level (default is\n *     DEFAULT_MAX_ZOOM).\n * @param {number|import(\"./size.js\").Size} [opt_tileSize] Tile size (default uses\n *     DEFAULT_TILE_SIZE).\n * @param {import(\"./extent/Corner.js\").default} [opt_corner] Extent corner (default is `'top-left'`).\n * @return {!TileGrid} TileGrid instance.\n */\nexport function createForProjection(projection, opt_maxZoom, opt_tileSize, opt_corner) {\n    var extent = extentFromProjection(projection);\n    return createForExtent(extent, opt_maxZoom, opt_tileSize, opt_corner);\n}\n/**\n * Generate a tile grid extent from a projection.  If the projection has an\n * extent, it is used.  If not, a global extent is assumed.\n * @param {import(\"./proj.js\").ProjectionLike} projection Projection.\n * @return {import(\"./extent.js\").Extent} Extent.\n */\nexport function extentFromProjection(projection) {\n    projection = getProjection(projection);\n    var extent = projection.getExtent();\n    if (!extent) {\n        var half = (180 * METERS_PER_UNIT[Units.DEGREES]) / projection.getMetersPerUnit();\n        extent = createOrUpdate(-half, -half, half, half);\n    }\n    return extent;\n}\n//# sourceMappingURL=tilegrid.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/source/Tile\n */\nimport Event from '../events/Event.js';\nimport Source from './Source.js';\nimport TileCache from '../TileCache.js';\nimport TileState from '../TileState.js';\nimport { abstract } from '../util.js';\nimport { assert } from '../asserts.js';\nimport { equivalent } from '../proj.js';\nimport { getKeyZXY, withinExtentAndZ } from '../tilecoord.js';\nimport { getForProjection as getTileGridForProjection, wrapX, } from '../tilegrid.js';\nimport { scale as scaleSize, toSize } from '../size.js';\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types, import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./TileEventType\").TileSourceEventTypes, TileSourceEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     import(\"./TileEventType\").TileSourceEventTypes, Return>} TileSourceOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] CacheSize.\n * @property {boolean} [opaque=false] Whether the layer is opaque.\n * @property {number} [tilePixelRatio] TilePixelRatio.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection.\n * @property {import(\"./State.js\").default} [state] State.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] TileGrid.\n * @property {boolean} [wrapX=false] WrapX.\n * @property {number} [transition] Transition.\n * @property {string} [key] Key.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0] ZDirection.\n * @property {boolean} [interpolate=false] Use interpolated values when resampling.  By default,\n * the nearest neighbor is used when resampling.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for sources providing images divided into a tile grid.\n * @abstract\n * @api\n */\nvar TileSource = /** @class */ (function (_super) {\n    __extends(TileSource, _super);\n    /**\n     * @param {Options} options SourceTile source options.\n     */\n    function TileSource(options) {\n        var _this = _super.call(this, {\n            attributions: options.attributions,\n            attributionsCollapsible: options.attributionsCollapsible,\n            projection: options.projection,\n            state: options.state,\n            wrapX: options.wrapX,\n            interpolate: options.interpolate,\n        }) || this;\n        /***\n         * @type {TileSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {TileSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {TileSourceOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.opaque_ = options.opaque !== undefined ? options.opaque : false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.tilePixelRatio_ =\n            options.tilePixelRatio !== undefined ? options.tilePixelRatio : 1;\n        /**\n         * @type {import(\"../tilegrid/TileGrid.js\").default}\n         */\n        _this.tileGrid = options.tileGrid !== undefined ? options.tileGrid : null;\n        var tileSize = [256, 256];\n        var tileGrid = options.tileGrid;\n        if (tileGrid) {\n            toSize(tileGrid.getTileSize(tileGrid.getMinZoom()), tileSize);\n        }\n        /**\n         * @protected\n         * @type {import(\"../TileCache.js\").default}\n         */\n        _this.tileCache = new TileCache(options.cacheSize || 0);\n        /**\n         * @protected\n         * @type {import(\"../size.js\").Size}\n         */\n        _this.tmpSize = [0, 0];\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.key_ = options.key || '';\n        /**\n         * @protected\n         * @type {import(\"../Tile.js\").Options}\n         */\n        _this.tileOptions = {\n            transition: options.transition,\n            interpolate: options.interpolate,\n        };\n        /**\n         * zDirection hint, read by the renderer. Indicates which resolution should be used\n         * by a renderer if the views resolution does not match any resolution of the tile source.\n         * If 0, the nearest resolution will be used. If 1, the nearest lower resolution\n         * will be used. If -1, the nearest higher resolution will be used.\n         * @type {number|import(\"../array.js\").NearestDirectionFunction}\n         */\n        _this.zDirection = options.zDirection ? options.zDirection : 0;\n        return _this;\n    }\n    /**\n     * @return {boolean} Can expire cache.\n     */\n    TileSource.prototype.canExpireCache = function () {\n        return this.tileCache.canExpireCache();\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {!Object<string, boolean>} usedTiles Used tiles.\n     */\n    TileSource.prototype.expireCache = function (projection, usedTiles) {\n        var tileCache = this.getTileCacheForProjection(projection);\n        if (tileCache) {\n            tileCache.expireCache(usedTiles);\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {number} z Zoom level.\n     * @param {import(\"../TileRange.js\").default} tileRange Tile range.\n     * @param {function(import(\"../Tile.js\").default):(boolean|void)} callback Called with each\n     *     loaded tile.  If the callback returns `false`, the tile will not be\n     *     considered loaded.\n     * @return {boolean} The tile range is fully covered with loaded tiles.\n     */\n    TileSource.prototype.forEachLoadedTile = function (projection, z, tileRange, callback) {\n        var tileCache = this.getTileCacheForProjection(projection);\n        if (!tileCache) {\n            return false;\n        }\n        var covered = true;\n        var tile, tileCoordKey, loaded;\n        for (var x = tileRange.minX; x <= tileRange.maxX; ++x) {\n            for (var y = tileRange.minY; y <= tileRange.maxY; ++y) {\n                tileCoordKey = getKeyZXY(z, x, y);\n                loaded = false;\n                if (tileCache.containsKey(tileCoordKey)) {\n                    tile = /** @type {!import(\"../Tile.js\").default} */ (tileCache.get(tileCoordKey));\n                    loaded = tile.getState() === TileState.LOADED;\n                    if (loaded) {\n                        loaded = callback(tile) !== false;\n                    }\n                }\n                if (!loaded) {\n                    covered = false;\n                }\n            }\n        }\n        return covered;\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {number} Gutter.\n     */\n    TileSource.prototype.getGutterForProjection = function (projection) {\n        return 0;\n    };\n    /**\n     * Return the key to be used for all tiles in the source.\n     * @return {string} The key for all tiles.\n     */\n    TileSource.prototype.getKey = function () {\n        return this.key_;\n    };\n    /**\n     * Set the value to be used as the key for all tiles in the source.\n     * @param {string} key The key for tiles.\n     * @protected\n     */\n    TileSource.prototype.setKey = function (key) {\n        if (this.key_ !== key) {\n            this.key_ = key;\n            this.changed();\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {boolean} Opaque.\n     */\n    TileSource.prototype.getOpaque = function (projection) {\n        return this.opaque_;\n    };\n    /**\n     * @return {Array<number>} Resolutions.\n     */\n    TileSource.prototype.getResolutions = function () {\n        return this.tileGrid.getResolutions();\n    };\n    /**\n     * @abstract\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!import(\"../Tile.js\").default} Tile.\n     */\n    TileSource.prototype.getTile = function (z, x, y, pixelRatio, projection) {\n        return abstract();\n    };\n    /**\n     * Return the tile grid of the tile source.\n     * @return {import(\"../tilegrid/TileGrid.js\").default} Tile grid.\n     * @api\n     */\n    TileSource.prototype.getTileGrid = function () {\n        return this.tileGrid;\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!import(\"../tilegrid/TileGrid.js\").default} Tile grid.\n     */\n    TileSource.prototype.getTileGridForProjection = function (projection) {\n        if (!this.tileGrid) {\n            return getTileGridForProjection(projection);\n        }\n        else {\n            return this.tileGrid;\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../TileCache.js\").default} Tile cache.\n     * @protected\n     */\n    TileSource.prototype.getTileCacheForProjection = function (projection) {\n        assert(equivalent(this.getProjection(), projection), 68 // A VectorTile source can only be rendered if it has a projection compatible with the view projection.\n        );\n        return this.tileCache;\n    };\n    /**\n     * Get the tile pixel ratio for this source. Subclasses may override this\n     * method, which is meant to return a supported pixel ratio that matches the\n     * provided `pixelRatio` as close as possible.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Tile pixel ratio.\n     */\n    TileSource.prototype.getTilePixelRatio = function (pixelRatio) {\n        return this.tilePixelRatio_;\n    };\n    /**\n     * @param {number} z Z.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../size.js\").Size} Tile size.\n     */\n    TileSource.prototype.getTilePixelSize = function (z, pixelRatio, projection) {\n        var tileGrid = this.getTileGridForProjection(projection);\n        var tilePixelRatio = this.getTilePixelRatio(pixelRatio);\n        var tileSize = toSize(tileGrid.getTileSize(z), this.tmpSize);\n        if (tilePixelRatio == 1) {\n            return tileSize;\n        }\n        else {\n            return scaleSize(tileSize, tilePixelRatio, this.tmpSize);\n        }\n    };\n    /**\n     * Returns a tile coordinate wrapped around the x-axis. When the tile coordinate\n     * is outside the resolution and extent range of the tile grid, `null` will be\n     * returned.\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"../proj/Projection.js\").default} [opt_projection] Projection.\n     * @return {import(\"../tilecoord.js\").TileCoord} Tile coordinate to be passed to the tileUrlFunction or\n     *     null if no tile URL should be created for the passed `tileCoord`.\n     */\n    TileSource.prototype.getTileCoordForTileUrlFunction = function (tileCoord, opt_projection) {\n        var projection = opt_projection !== undefined ? opt_projection : this.getProjection();\n        var tileGrid = this.getTileGridForProjection(projection);\n        if (this.getWrapX() && projection.isGlobal()) {\n            tileCoord = wrapX(tileGrid, tileCoord, projection);\n        }\n        return withinExtentAndZ(tileCoord, tileGrid) ? tileCoord : null;\n    };\n    /**\n     * Remove all cached tiles from the source. The next render cycle will fetch new tiles.\n     * @api\n     */\n    TileSource.prototype.clear = function () {\n        this.tileCache.clear();\n    };\n    TileSource.prototype.refresh = function () {\n        this.clear();\n        _super.prototype.refresh.call(this);\n    };\n    /**\n     * Increases the cache size if needed\n     * @param {number} tileCount Minimum number of tiles needed.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     */\n    TileSource.prototype.updateCacheSize = function (tileCount, projection) {\n        var tileCache = this.getTileCacheForProjection(projection);\n        if (tileCount > tileCache.highWaterMark) {\n            tileCache.highWaterMark = tileCount;\n        }\n    };\n    /**\n     * Marks a tile coord as being used, without triggering a load.\n     * @abstract\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     */\n    TileSource.prototype.useTile = function (z, x, y, projection) { };\n    return TileSource;\n}(Source));\n/**\n * @classdesc\n * Events emitted by {@link module:ol/source/Tile~TileSource} instances are instances of this\n * type.\n */\nvar TileSourceEvent = /** @class */ (function (_super) {\n    __extends(TileSourceEvent, _super);\n    /**\n     * @param {string} type Type.\n     * @param {import(\"../Tile.js\").default} tile The tile.\n     */\n    function TileSourceEvent(type, tile) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The tile related to the event.\n         * @type {import(\"../Tile.js\").default}\n         * @api\n         */\n        _this.tile = tile;\n        return _this;\n    }\n    return TileSourceEvent;\n}(Event));\nexport { TileSourceEvent };\nexport default TileSource;\n//# sourceMappingURL=Tile.js.map","/**\n * @module ol/tileurlfunction\n */\nimport { assert } from './asserts.js';\nimport { modulo } from './math.js';\nimport { hash as tileCoordHash } from './tilecoord.js';\n/**\n * @param {string} template Template.\n * @param {import(\"./tilegrid/TileGrid.js\").default} tileGrid Tile grid.\n * @return {import(\"./Tile.js\").UrlFunction} Tile URL function.\n */\nexport function createFromTemplate(template, tileGrid) {\n    var zRegEx = /\\{z\\}/g;\n    var xRegEx = /\\{x\\}/g;\n    var yRegEx = /\\{y\\}/g;\n    var dashYRegEx = /\\{-y\\}/g;\n    return (\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile Coordinate.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"./proj/Projection.js\").default} projection Projection.\n     * @return {string|undefined} Tile URL.\n     */\n    function (tileCoord, pixelRatio, projection) {\n        if (!tileCoord) {\n            return undefined;\n        }\n        else {\n            return template\n                .replace(zRegEx, tileCoord[0].toString())\n                .replace(xRegEx, tileCoord[1].toString())\n                .replace(yRegEx, tileCoord[2].toString())\n                .replace(dashYRegEx, function () {\n                var z = tileCoord[0];\n                var range = tileGrid.getFullTileRange(z);\n                assert(range, 55); // The {-y} placeholder requires a tile grid with extent\n                var y = range.getHeight() - tileCoord[2] - 1;\n                return y.toString();\n            });\n        }\n    });\n}\n/**\n * @param {Array<string>} templates Templates.\n * @param {import(\"./tilegrid/TileGrid.js\").default} tileGrid Tile grid.\n * @return {import(\"./Tile.js\").UrlFunction} Tile URL function.\n */\nexport function createFromTemplates(templates, tileGrid) {\n    var len = templates.length;\n    var tileUrlFunctions = new Array(len);\n    for (var i = 0; i < len; ++i) {\n        tileUrlFunctions[i] = createFromTemplate(templates[i], tileGrid);\n    }\n    return createFromTileUrlFunctions(tileUrlFunctions);\n}\n/**\n * @param {Array<import(\"./Tile.js\").UrlFunction>} tileUrlFunctions Tile URL Functions.\n * @return {import(\"./Tile.js\").UrlFunction} Tile URL function.\n */\nexport function createFromTileUrlFunctions(tileUrlFunctions) {\n    if (tileUrlFunctions.length === 1) {\n        return tileUrlFunctions[0];\n    }\n    return (\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile Coordinate.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"./proj/Projection.js\").default} projection Projection.\n     * @return {string|undefined} Tile URL.\n     */\n    function (tileCoord, pixelRatio, projection) {\n        if (!tileCoord) {\n            return undefined;\n        }\n        else {\n            var h = tileCoordHash(tileCoord);\n            var index = modulo(h, tileUrlFunctions.length);\n            return tileUrlFunctions[index](tileCoord, pixelRatio, projection);\n        }\n    });\n}\n/**\n * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n * @param {number} pixelRatio Pixel ratio.\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @return {string|undefined} Tile URL.\n */\nexport function nullTileUrlFunction(tileCoord, pixelRatio, projection) {\n    return undefined;\n}\n/**\n * @param {string} url URL.\n * @return {Array<string>} Array of urls.\n */\nexport function expandUrl(url) {\n    var urls = [];\n    var match = /\\{([a-z])-([a-z])\\}/.exec(url);\n    if (match) {\n        // char range\n        var startCharCode = match[1].charCodeAt(0);\n        var stopCharCode = match[2].charCodeAt(0);\n        var charCode = void 0;\n        for (charCode = startCharCode; charCode <= stopCharCode; ++charCode) {\n            urls.push(url.replace(match[0], String.fromCharCode(charCode)));\n        }\n        return urls;\n    }\n    match = /\\{(\\d+)-(\\d+)\\}/.exec(url);\n    if (match) {\n        // number range\n        var stop_1 = parseInt(match[2], 10);\n        for (var i = parseInt(match[1], 10); i <= stop_1; i++) {\n            urls.push(url.replace(match[0], i.toString()));\n        }\n        return urls;\n    }\n    urls.push(url);\n    return urls;\n}\n//# sourceMappingURL=tileurlfunction.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/source/UrlTile\n */\nimport TileEventType from './TileEventType.js';\nimport TileSource, { TileSourceEvent } from './Tile.js';\nimport TileState from '../TileState.js';\nimport { createFromTemplates, expandUrl } from '../tileurlfunction.js';\nimport { getKeyZXY } from '../tilecoord.js';\nimport { getUid } from '../util.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] Cache size.\n * @property {boolean} [opaque=false] Whether the layer is opaque.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection.\n * @property {import(\"./State.js\").default} [state] State.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] TileGrid.\n * @property {import(\"../Tile.js\").LoadFunction} tileLoadFunction TileLoadFunction.\n * @property {number} [tilePixelRatio] TilePixelRatio.\n * @property {import(\"../Tile.js\").UrlFunction} [tileUrlFunction] TileUrlFunction.\n * @property {string} [url] Url.\n * @property {Array<string>} [urls] Urls.\n * @property {boolean} [wrapX=true] WrapX.\n * @property {number} [transition] Transition.\n * @property {string} [key] Key.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0] ZDirection.\n * @property {boolean} [interpolate=false] Use interpolated values when resampling.  By default,\n * the nearest neighbor is used when resampling.\n */\n/**\n * @classdesc\n * Base class for sources providing tiles divided into a tile grid over http.\n *\n * @fires import(\"./Tile.js\").TileSourceEvent\n */\nvar UrlTile = /** @class */ (function (_super) {\n    __extends(UrlTile, _super);\n    /**\n     * @param {Options} options Image tile options.\n     */\n    function UrlTile(options) {\n        var _this = _super.call(this, {\n            attributions: options.attributions,\n            cacheSize: options.cacheSize,\n            opaque: options.opaque,\n            projection: options.projection,\n            state: options.state,\n            tileGrid: options.tileGrid,\n            tilePixelRatio: options.tilePixelRatio,\n            wrapX: options.wrapX,\n            transition: options.transition,\n            interpolate: options.interpolate,\n            key: options.key,\n            attributionsCollapsible: options.attributionsCollapsible,\n            zDirection: options.zDirection,\n        }) || this;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.generateTileUrlFunction_ =\n            _this.tileUrlFunction === UrlTile.prototype.tileUrlFunction;\n        /**\n         * @protected\n         * @type {import(\"../Tile.js\").LoadFunction}\n         */\n        _this.tileLoadFunction = options.tileLoadFunction;\n        if (options.tileUrlFunction) {\n            _this.tileUrlFunction = options.tileUrlFunction;\n        }\n        /**\n         * @protected\n         * @type {!Array<string>|null}\n         */\n        _this.urls = null;\n        if (options.urls) {\n            _this.setUrls(options.urls);\n        }\n        else if (options.url) {\n            _this.setUrl(options.url);\n        }\n        /**\n         * @private\n         * @type {!Object<string, boolean>}\n         */\n        _this.tileLoadingKeys_ = {};\n        return _this;\n    }\n    /**\n     * Return the tile load function of the source.\n     * @return {import(\"../Tile.js\").LoadFunction} TileLoadFunction\n     * @api\n     */\n    UrlTile.prototype.getTileLoadFunction = function () {\n        return this.tileLoadFunction;\n    };\n    /**\n     * Return the tile URL function of the source.\n     * @return {import(\"../Tile.js\").UrlFunction} TileUrlFunction\n     * @api\n     */\n    UrlTile.prototype.getTileUrlFunction = function () {\n        return Object.getPrototypeOf(this).tileUrlFunction === this.tileUrlFunction\n            ? this.tileUrlFunction.bind(this)\n            : this.tileUrlFunction;\n    };\n    /**\n     * Return the URLs used for this source.\n     * When a tileUrlFunction is used instead of url or urls,\n     * null will be returned.\n     * @return {!Array<string>|null} URLs.\n     * @api\n     */\n    UrlTile.prototype.getUrls = function () {\n        return this.urls;\n    };\n    /**\n     * Handle tile change events.\n     * @param {import(\"../events/Event.js\").default} event Event.\n     * @protected\n     */\n    UrlTile.prototype.handleTileChange = function (event) {\n        var tile = /** @type {import(\"../Tile.js\").default} */ (event.target);\n        var uid = getUid(tile);\n        var tileState = tile.getState();\n        var type;\n        if (tileState == TileState.LOADING) {\n            this.tileLoadingKeys_[uid] = true;\n            type = TileEventType.TILELOADSTART;\n        }\n        else if (uid in this.tileLoadingKeys_) {\n            delete this.tileLoadingKeys_[uid];\n            type =\n                tileState == TileState.ERROR\n                    ? TileEventType.TILELOADERROR\n                    : tileState == TileState.LOADED\n                        ? TileEventType.TILELOADEND\n                        : undefined;\n        }\n        if (type != undefined) {\n            this.dispatchEvent(new TileSourceEvent(type, tile));\n        }\n    };\n    /**\n     * Set the tile load function of the source.\n     * @param {import(\"../Tile.js\").LoadFunction} tileLoadFunction Tile load function.\n     * @api\n     */\n    UrlTile.prototype.setTileLoadFunction = function (tileLoadFunction) {\n        this.tileCache.clear();\n        this.tileLoadFunction = tileLoadFunction;\n        this.changed();\n    };\n    /**\n     * Set the tile URL function of the source.\n     * @param {import(\"../Tile.js\").UrlFunction} tileUrlFunction Tile URL function.\n     * @param {string} [key] Optional new tile key for the source.\n     * @api\n     */\n    UrlTile.prototype.setTileUrlFunction = function (tileUrlFunction, key) {\n        this.tileUrlFunction = tileUrlFunction;\n        this.tileCache.pruneExceptNewestZ();\n        if (typeof key !== 'undefined') {\n            this.setKey(key);\n        }\n        else {\n            this.changed();\n        }\n    };\n    /**\n     * Set the URL to use for requests.\n     * @param {string} url URL.\n     * @api\n     */\n    UrlTile.prototype.setUrl = function (url) {\n        var urls = expandUrl(url);\n        this.urls = urls;\n        this.setUrls(urls);\n    };\n    /**\n     * Set the URLs to use for requests.\n     * @param {Array<string>} urls URLs.\n     * @api\n     */\n    UrlTile.prototype.setUrls = function (urls) {\n        this.urls = urls;\n        var key = urls.join('\\n');\n        if (this.generateTileUrlFunction_) {\n            this.setTileUrlFunction(createFromTemplates(urls, this.tileGrid), key);\n        }\n        else {\n            this.setKey(key);\n        }\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {string|undefined} Tile URL.\n     */\n    UrlTile.prototype.tileUrlFunction = function (tileCoord, pixelRatio, projection) {\n        return undefined;\n    };\n    /**\n     * Marks a tile coord as being used, without triggering a load.\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     */\n    UrlTile.prototype.useTile = function (z, x, y) {\n        var tileCoordKey = getKeyZXY(z, x, y);\n        if (this.tileCache.containsKey(tileCoordKey)) {\n            this.tileCache.get(tileCoordKey);\n        }\n    };\n    return UrlTile;\n}(TileSource));\nexport default UrlTile;\n//# sourceMappingURL=UrlTile.js.map","/**\n * @module ol/source/VectorTile\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport EventType from '../events/EventType.js';\nimport Tile from '../VectorTile.js';\nimport TileCache from '../TileCache.js';\nimport TileState from '../TileState.js';\nimport UrlTile from './UrlTile.js';\nimport VectorRenderTile from '../VectorRenderTile.js';\nimport { buffer as bufferExtent, getIntersection, intersects, } from '../extent.js';\nimport { createForProjection, createXYZ, extentFromProjection, } from '../tilegrid.js';\nimport { fromKey, getCacheKeyForTileKey, getKeyZXY } from '../tilecoord.js';\nimport { isEmpty } from '../obj.js';\nimport { loadFeaturesXhr } from '../featureloader.js';\nimport { toSize } from '../size.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least twice the number of tiles in the viewport.\n * @property {import(\"../extent.js\").Extent} [extent] Extent.\n * @property {import(\"../format/Feature.js\").default} [format] Feature format for tiles. Used and required by the default.\n * @property {boolean} [overlaps=true] This source may have overlapping geometries. Setting this\n * to `false` (e.g. for sources with polygons that represent administrative\n * boundaries or TopoJSON sources) allows the renderer to optimise fill and\n * stroke operations.\n * @property {import(\"../proj.js\").ProjectionLike} [projection='EPSG:3857'] Projection of the tile grid.\n * @property {import(\"./State.js\").default} [state] Source state.\n * @property {typeof import(\"../VectorTile.js\").default} [tileClass] Class used to instantiate image tiles.\n * Default is {@link module:ol/VectorTile}.\n * @property {number} [maxZoom=22] Optional max zoom level. Not used if `tileGrid` is provided.\n * @property {number} [minZoom] Optional min zoom level. Not used if `tileGrid` is provided.\n * @property {number|import(\"../size.js\").Size} [tileSize=512] Optional tile size. Not used if `tileGrid` is provided.\n * @property {number} [maxResolution] Optional tile grid resolution at level zero. Not used if `tileGrid` is provided.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] Tile grid.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction]\n * Optional function to load a tile given a URL. Could look like this for pbf tiles:\n * ```js\n * function(tile, url) {\n *   tile.setLoader(function(extent, resolution, projection) {\n *     fetch(url).then(function(response) {\n *       response.arrayBuffer().then(function(data) {\n *         const format = tile.getFormat() // ol/format/MVT configured as source format\n *         const features = format.readFeatures(data, {\n *           extent: extent,\n *           featureProjection: projection\n *         });\n *         tile.setFeatures(features);\n *       });\n *     });\n *   });\n * }\n * ```\n * If you do not need extent, resolution and projection to get the features for a tile (e.g.\n * for GeoJSON tiles), your `tileLoadFunction` does not need a `setLoader()` call. Only make sure\n * to call `setFeatures()` on the tile:\n * ```js\n * const format = new GeoJSON({featureProjection: map.getView().getProjection()});\n * async function tileLoadFunction(tile, url) {\n *   const response = await fetch(url);\n *   const data = await response.json();\n *   tile.setFeatures(format.readFeatures(data));\n * }\n * ```\n * @property {import(\"../Tile.js\").UrlFunction} [tileUrlFunction] Optional function to get tile URL given a tile coordinate and the projection.\n * @property {string} [url] URL template. Must include `{x}`, `{y}` or `{-y}`, and `{z}` placeholders.\n * A `{?-?}` template pattern, for example `subdomain{a-f}.domain.com`, may be\n * used instead of defining each one separately in the `urls` option.\n * @property {number} [transition] A duration for tile opacity\n * transitions in milliseconds. A duration of 0 disables the opacity transition.\n * @property {Array<string>} [urls] An array of URL templates.\n * @property {boolean} [wrapX=true] Whether to wrap the world horizontally.\n * When set to `false`, only one world\n * will be rendered. When set to `true`, tiles will be wrapped horizontally to\n * render multiple worlds.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=1]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @classdesc\n * Class for layer sources providing vector data divided into a tile grid, to be\n * used with {@link module:ol/layer/VectorTile~VectorTile}. Although this source receives tiles\n * with vector features from the server, it is not meant for feature editing.\n * Features are optimized for rendering, their geometries are clipped at or near\n * tile boundaries and simplified for a view resolution. See\n * {@link module:ol/source/Vector} for vector sources that are suitable for feature\n * editing.\n *\n * @fires import(\"./Tile.js\").TileSourceEvent\n * @api\n */\nvar VectorTile = /** @class */ (function (_super) {\n    __extends(VectorTile, _super);\n    /**\n     * @param {!Options} options Vector tile options.\n     */\n    function VectorTile(options) {\n        var _this = this;\n        var projection = options.projection || 'EPSG:3857';\n        var extent = options.extent || extentFromProjection(projection);\n        var tileGrid = options.tileGrid ||\n            createXYZ({\n                extent: extent,\n                maxResolution: options.maxResolution,\n                maxZoom: options.maxZoom !== undefined ? options.maxZoom : 22,\n                minZoom: options.minZoom,\n                tileSize: options.tileSize || 512,\n            });\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            attributionsCollapsible: options.attributionsCollapsible,\n            cacheSize: options.cacheSize,\n            opaque: false,\n            projection: projection,\n            state: options.state,\n            tileGrid: tileGrid,\n            tileLoadFunction: options.tileLoadFunction\n                ? options.tileLoadFunction\n                : defaultLoadFunction,\n            tileUrlFunction: options.tileUrlFunction,\n            url: options.url,\n            urls: options.urls,\n            wrapX: options.wrapX === undefined ? true : options.wrapX,\n            transition: options.transition,\n            zDirection: options.zDirection === undefined ? 1 : options.zDirection,\n        }) || this;\n        /**\n         * @private\n         * @type {import(\"../format/Feature.js\").default}\n         */\n        _this.format_ = options.format ? options.format : null;\n        /**\n         * @private\n         * @type {TileCache}\n         */\n        _this.sourceTileCache = new TileCache(_this.tileCache.highWaterMark);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.overlaps_ = options.overlaps == undefined ? true : options.overlaps;\n        /**\n         * @protected\n         * @type {typeof import(\"../VectorTile.js\").default}\n         */\n        _this.tileClass = options.tileClass ? options.tileClass : Tile;\n        /**\n         * @private\n         * @type {Object<string, import(\"../tilegrid/TileGrid.js\").default>}\n         */\n        _this.tileGrids_ = {};\n        return _this;\n    }\n    /**\n     * Get features whose bounding box intersects the provided extent. Only features for cached\n     * tiles for the last rendered zoom level are available in the source. So this method is only\n     * suitable for requesting tiles for extents that are currently rendered.\n     *\n     * Features are returned in random tile order and as they are included in the tiles. This means\n     * they can be clipped, duplicated across tiles, and simplified to the render resolution.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {Array<import(\"../Feature.js\").FeatureLike>} Features.\n     * @api\n     */\n    VectorTile.prototype.getFeaturesInExtent = function (extent) {\n        var features = [];\n        var tileCache = this.tileCache;\n        if (tileCache.getCount() === 0) {\n            return features;\n        }\n        var z = fromKey(tileCache.peekFirstKey())[0];\n        var tileGrid = this.tileGrid;\n        tileCache.forEach(function (tile) {\n            if (tile.tileCoord[0] !== z || tile.getState() !== TileState.LOADED) {\n                return;\n            }\n            var sourceTiles = tile.getSourceTiles();\n            for (var i = 0, ii = sourceTiles.length; i < ii; ++i) {\n                var sourceTile = sourceTiles[i];\n                var tileCoord = sourceTile.tileCoord;\n                if (intersects(extent, tileGrid.getTileCoordExtent(tileCoord))) {\n                    var tileFeatures = sourceTile.getFeatures();\n                    if (tileFeatures) {\n                        for (var j = 0, jj = tileFeatures.length; j < jj; ++j) {\n                            var candidate = tileFeatures[j];\n                            var geometry = candidate.getGeometry();\n                            if (intersects(extent, geometry.getExtent())) {\n                                features.push(candidate);\n                            }\n                        }\n                    }\n                }\n            }\n        });\n        return features;\n    };\n    /**\n     * @return {boolean} The source can have overlapping geometries.\n     */\n    VectorTile.prototype.getOverlaps = function () {\n        return this.overlaps_;\n    };\n    /**\n     * clear {@link module:ol/TileCache~TileCache} and delete all source tiles\n     * @api\n     */\n    VectorTile.prototype.clear = function () {\n        this.tileCache.clear();\n        this.sourceTileCache.clear();\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {!Object<string, boolean>} usedTiles Used tiles.\n     */\n    VectorTile.prototype.expireCache = function (projection, usedTiles) {\n        var tileCache = this.getTileCacheForProjection(projection);\n        var usedSourceTiles = Object.keys(usedTiles).reduce(function (acc, key) {\n            var cacheKey = getCacheKeyForTileKey(key);\n            if (tileCache.containsKey(cacheKey)) {\n                var sourceTiles = tileCache.get(cacheKey).sourceTiles;\n                for (var i = 0, ii = sourceTiles.length; i < ii; ++i) {\n                    acc[sourceTiles[i].getKey()] = true;\n                }\n            }\n            return acc;\n        }, {});\n        _super.prototype.expireCache.call(this, projection, usedTiles);\n        this.sourceTileCache.expireCache(usedSourceTiles);\n    };\n    /**\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection\").default} projection Projection.\n     * @param {VectorRenderTile} tile Vector image tile.\n     * @return {Array<import(\"../VectorTile\").default>} Tile keys.\n     */\n    VectorTile.prototype.getSourceTiles = function (pixelRatio, projection, tile) {\n        var _this = this;\n        if (tile.getState() === TileState.IDLE) {\n            tile.setState(TileState.LOADING);\n            var urlTileCoord = tile.wrappedTileCoord;\n            var tileGrid = this.getTileGridForProjection(projection);\n            var extent = tileGrid.getTileCoordExtent(urlTileCoord);\n            var z = urlTileCoord[0];\n            var resolution = tileGrid.getResolution(z);\n            // make extent 1 pixel smaller so we don't load tiles for < 0.5 pixel render space\n            bufferExtent(extent, -resolution, extent);\n            var sourceTileGrid_1 = this.tileGrid;\n            var sourceExtent = sourceTileGrid_1.getExtent();\n            if (sourceExtent) {\n                getIntersection(extent, sourceExtent, extent);\n            }\n            var sourceZ = sourceTileGrid_1.getZForResolution(resolution, 1);\n            sourceTileGrid_1.forEachTileCoord(extent, sourceZ, function (sourceTileCoord) {\n                var tileUrl = _this.tileUrlFunction(sourceTileCoord, pixelRatio, projection);\n                var sourceTile = _this.sourceTileCache.containsKey(tileUrl)\n                    ? _this.sourceTileCache.get(tileUrl)\n                    : new _this.tileClass(sourceTileCoord, tileUrl ? TileState.IDLE : TileState.EMPTY, tileUrl, _this.format_, _this.tileLoadFunction);\n                tile.sourceTiles.push(sourceTile);\n                var sourceTileState = sourceTile.getState();\n                if (sourceTileState < TileState.LOADED) {\n                    var listenChange_1 = function (event) {\n                        _this.handleTileChange(event);\n                        var state = sourceTile.getState();\n                        if (state === TileState.LOADED || state === TileState.ERROR) {\n                            var sourceTileKey = sourceTile.getKey();\n                            if (sourceTileKey in tile.errorTileKeys) {\n                                if (sourceTile.getState() === TileState.LOADED) {\n                                    delete tile.errorTileKeys[sourceTileKey];\n                                }\n                            }\n                            else {\n                                tile.loadingSourceTiles--;\n                            }\n                            if (state === TileState.ERROR) {\n                                tile.errorTileKeys[sourceTileKey] = true;\n                            }\n                            else {\n                                sourceTile.removeEventListener(EventType.CHANGE, listenChange_1);\n                            }\n                            if (tile.loadingSourceTiles === 0) {\n                                tile.setState(isEmpty(tile.errorTileKeys)\n                                    ? TileState.LOADED\n                                    : TileState.ERROR);\n                            }\n                        }\n                    };\n                    sourceTile.addEventListener(EventType.CHANGE, listenChange_1);\n                    tile.loadingSourceTiles++;\n                }\n                if (sourceTileState === TileState.IDLE) {\n                    sourceTile.extent =\n                        sourceTileGrid_1.getTileCoordExtent(sourceTileCoord);\n                    sourceTile.projection = projection;\n                    sourceTile.resolution = sourceTileGrid_1.getResolution(sourceTileCoord[0]);\n                    _this.sourceTileCache.set(tileUrl, sourceTile);\n                    sourceTile.load();\n                }\n            });\n            if (!tile.loadingSourceTiles) {\n                tile.setState(tile.sourceTiles.some(function (sourceTile) { return sourceTile.getState() === TileState.ERROR; })\n                    ? TileState.ERROR\n                    : TileState.LOADED);\n            }\n        }\n        return tile.sourceTiles;\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!VectorRenderTile} Tile.\n     */\n    VectorTile.prototype.getTile = function (z, x, y, pixelRatio, projection) {\n        var coordKey = getKeyZXY(z, x, y);\n        var key = this.getKey();\n        var tile;\n        if (this.tileCache.containsKey(coordKey)) {\n            tile = this.tileCache.get(coordKey);\n            if (tile.key === key) {\n                return tile;\n            }\n        }\n        var tileCoord = [z, x, y];\n        var urlTileCoord = this.getTileCoordForTileUrlFunction(tileCoord, projection);\n        var sourceExtent = this.getTileGrid().getExtent();\n        var tileGrid = this.getTileGridForProjection(projection);\n        if (urlTileCoord && sourceExtent) {\n            var tileExtent = tileGrid.getTileCoordExtent(urlTileCoord);\n            // make extent 1 pixel smaller so we don't load tiles for < 0.5 pixel render space\n            bufferExtent(tileExtent, -tileGrid.getResolution(z), tileExtent);\n            if (!intersects(sourceExtent, tileExtent)) {\n                urlTileCoord = null;\n            }\n        }\n        var empty = true;\n        if (urlTileCoord !== null) {\n            var sourceTileGrid = this.tileGrid;\n            var resolution = tileGrid.getResolution(z);\n            var sourceZ = sourceTileGrid.getZForResolution(resolution, 1);\n            // make extent 1 pixel smaller so we don't load tiles for < 0.5 pixel render space\n            var extent = tileGrid.getTileCoordExtent(urlTileCoord);\n            bufferExtent(extent, -resolution, extent);\n            sourceTileGrid.forEachTileCoord(extent, sourceZ, function (sourceTileCoord) {\n                empty =\n                    empty &&\n                        !this.tileUrlFunction(sourceTileCoord, pixelRatio, projection);\n            }.bind(this));\n        }\n        var newTile = new VectorRenderTile(tileCoord, empty ? TileState.EMPTY : TileState.IDLE, urlTileCoord, this.getSourceTiles.bind(this, pixelRatio, projection));\n        newTile.key = key;\n        if (tile) {\n            newTile.interimTile = tile;\n            newTile.refreshInterimChain();\n            this.tileCache.replace(coordKey, newTile);\n        }\n        else {\n            this.tileCache.set(coordKey, newTile);\n        }\n        return newTile;\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!import(\"../tilegrid/TileGrid.js\").default} Tile grid.\n     */\n    VectorTile.prototype.getTileGridForProjection = function (projection) {\n        var code = projection.getCode();\n        var tileGrid = this.tileGrids_[code];\n        if (!tileGrid) {\n            // A tile grid that matches the tile size of the source tile grid is more\n            // likely to have 1:1 relationships between source tiles and rendered tiles.\n            var sourceTileGrid = this.tileGrid;\n            tileGrid = createForProjection(projection, undefined, sourceTileGrid\n                ? sourceTileGrid.getTileSize(sourceTileGrid.getMinZoom())\n                : undefined);\n            this.tileGrids_[code] = tileGrid;\n        }\n        return tileGrid;\n    };\n    /**\n     * Get the tile pixel ratio for this source.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Tile pixel ratio.\n     */\n    VectorTile.prototype.getTilePixelRatio = function (pixelRatio) {\n        return pixelRatio;\n    };\n    /**\n     * @param {number} z Z.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../size.js\").Size} Tile size.\n     */\n    VectorTile.prototype.getTilePixelSize = function (z, pixelRatio, projection) {\n        var tileGrid = this.getTileGridForProjection(projection);\n        var tileSize = toSize(tileGrid.getTileSize(z), this.tmpSize);\n        return [\n            Math.round(tileSize[0] * pixelRatio),\n            Math.round(tileSize[1] * pixelRatio),\n        ];\n    };\n    /**\n     * Increases the cache size if needed\n     * @param {number} tileCount Minimum number of tiles needed.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     */\n    VectorTile.prototype.updateCacheSize = function (tileCount, projection) {\n        _super.prototype.updateCacheSize.call(this, tileCount * 2, projection);\n        this.sourceTileCache.highWaterMark =\n            this.getTileCacheForProjection(projection).highWaterMark;\n    };\n    return VectorTile;\n}(UrlTile));\nexport default VectorTile;\n/**\n * Sets the loader for a tile.\n * @param {import(\"../VectorTile.js\").default} tile Vector tile.\n * @param {string} url URL.\n */\nexport function defaultLoadFunction(tile, url) {\n    tile.setLoader(\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     */\n    function (extent, resolution, projection) {\n        loadFeaturesXhr(url, tile.getFormat(), extent, resolution, projection, tile.onLoad.bind(tile), tile.onError.bind(tile));\n    });\n}\n//# sourceMappingURL=VectorTile.js.map","/**\n * @module ol/reproj/Triangulation\n */\nimport { boundingExtent, createEmpty, extendCoordinate, getArea, getBottomLeft, getBottomRight, getTopLeft, getTopRight, getWidth, intersects, } from '../extent.js';\nimport { getTransform } from '../proj.js';\nimport { log2, modulo } from '../math.js';\n/**\n * Single triangle; consists of 3 source points and 3 target points.\n * @typedef {Object} Triangle\n * @property {Array<import(\"../coordinate.js\").Coordinate>} source Source.\n * @property {Array<import(\"../coordinate.js\").Coordinate>} target Target.\n */\n/**\n * Maximum number of subdivision steps during raster reprojection triangulation.\n * Prevents high memory usage and large number of proj4 calls (for certain\n * transformations and areas). At most `2*(2^this)` triangles are created for\n * each triangulated extent (tile/image).\n * @type {number}\n */\nvar MAX_SUBDIVISION = 10;\n/**\n * Maximum allowed size of triangle relative to world width. When transforming\n * corners of world extent between certain projections, the resulting\n * triangulation seems to have zero error and no subdivision is performed. If\n * the triangle width is more than this (relative to world width; 0-1),\n * subdivison is forced (up to `MAX_SUBDIVISION`). Default is `0.25`.\n * @type {number}\n */\nvar MAX_TRIANGLE_WIDTH = 0.25;\n/**\n * @classdesc\n * Class containing triangulation of the given target extent.\n * Used for determining source data and the reprojection itself.\n */\nvar Triangulation = /** @class */ (function () {\n    /**\n     * @param {import(\"../proj/Projection.js\").default} sourceProj Source projection.\n     * @param {import(\"../proj/Projection.js\").default} targetProj Target projection.\n     * @param {import(\"../extent.js\").Extent} targetExtent Target extent to triangulate.\n     * @param {import(\"../extent.js\").Extent} maxSourceExtent Maximal source extent that can be used.\n     * @param {number} errorThreshold Acceptable error (in source units).\n     * @param {?number} opt_destinationResolution The (optional) resolution of the destination.\n     */\n    function Triangulation(sourceProj, targetProj, targetExtent, maxSourceExtent, errorThreshold, opt_destinationResolution) {\n        /**\n         * @type {import(\"../proj/Projection.js\").default}\n         * @private\n         */\n        this.sourceProj_ = sourceProj;\n        /**\n         * @type {import(\"../proj/Projection.js\").default}\n         * @private\n         */\n        this.targetProj_ = targetProj;\n        /** @type {!Object<string, import(\"../coordinate.js\").Coordinate>} */\n        var transformInvCache = {};\n        var transformInv = getTransform(this.targetProj_, this.sourceProj_);\n        /**\n         * @param {import(\"../coordinate.js\").Coordinate} c A coordinate.\n         * @return {import(\"../coordinate.js\").Coordinate} Transformed coordinate.\n         * @private\n         */\n        this.transformInv_ = function (c) {\n            var key = c[0] + '/' + c[1];\n            if (!transformInvCache[key]) {\n                transformInvCache[key] = transformInv(c);\n            }\n            return transformInvCache[key];\n        };\n        /**\n         * @type {import(\"../extent.js\").Extent}\n         * @private\n         */\n        this.maxSourceExtent_ = maxSourceExtent;\n        /**\n         * @type {number}\n         * @private\n         */\n        this.errorThresholdSquared_ = errorThreshold * errorThreshold;\n        /**\n         * @type {Array<Triangle>}\n         * @private\n         */\n        this.triangles_ = [];\n        /**\n         * Indicates that the triangulation crosses edge of the source projection.\n         * @type {boolean}\n         * @private\n         */\n        this.wrapsXInSource_ = false;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        this.canWrapXInSource_ =\n            this.sourceProj_.canWrapX() &&\n                !!maxSourceExtent &&\n                !!this.sourceProj_.getExtent() &&\n                getWidth(maxSourceExtent) == getWidth(this.sourceProj_.getExtent());\n        /**\n         * @type {?number}\n         * @private\n         */\n        this.sourceWorldWidth_ = this.sourceProj_.getExtent()\n            ? getWidth(this.sourceProj_.getExtent())\n            : null;\n        /**\n         * @type {?number}\n         * @private\n         */\n        this.targetWorldWidth_ = this.targetProj_.getExtent()\n            ? getWidth(this.targetProj_.getExtent())\n            : null;\n        var destinationTopLeft = getTopLeft(targetExtent);\n        var destinationTopRight = getTopRight(targetExtent);\n        var destinationBottomRight = getBottomRight(targetExtent);\n        var destinationBottomLeft = getBottomLeft(targetExtent);\n        var sourceTopLeft = this.transformInv_(destinationTopLeft);\n        var sourceTopRight = this.transformInv_(destinationTopRight);\n        var sourceBottomRight = this.transformInv_(destinationBottomRight);\n        var sourceBottomLeft = this.transformInv_(destinationBottomLeft);\n        /*\n         * The maxSubdivision controls how many splittings of the target area can\n         * be done. The idea here is to do a linear mapping of the target areas\n         * but the actual overal reprojection (can be) extremely non-linear. The\n         * default value of MAX_SUBDIVISION was chosen based on mapping a 256x256\n         * tile size. However this function is also called to remap canvas rendered\n         * layers which can be much larger. This calculation increases the maxSubdivision\n         * value by the right factor so that each 256x256 pixel area has\n         * MAX_SUBDIVISION divisions.\n         */\n        var maxSubdivision = MAX_SUBDIVISION +\n            (opt_destinationResolution\n                ? Math.max(0, Math.ceil(log2(getArea(targetExtent) /\n                    (opt_destinationResolution *\n                        opt_destinationResolution *\n                        256 *\n                        256))))\n                : 0);\n        this.addQuad_(destinationTopLeft, destinationTopRight, destinationBottomRight, destinationBottomLeft, sourceTopLeft, sourceTopRight, sourceBottomRight, sourceBottomLeft, maxSubdivision);\n        if (this.wrapsXInSource_) {\n            var leftBound_1 = Infinity;\n            this.triangles_.forEach(function (triangle, i, arr) {\n                leftBound_1 = Math.min(leftBound_1, triangle.source[0][0], triangle.source[1][0], triangle.source[2][0]);\n            });\n            // Shift triangles to be as close to `leftBound` as possible\n            // (if the distance is more than `worldWidth / 2` it can be closer.\n            this.triangles_.forEach(function (triangle) {\n                if (Math.max(triangle.source[0][0], triangle.source[1][0], triangle.source[2][0]) -\n                    leftBound_1 >\n                    this.sourceWorldWidth_ / 2) {\n                    var newTriangle = [\n                        [triangle.source[0][0], triangle.source[0][1]],\n                        [triangle.source[1][0], triangle.source[1][1]],\n                        [triangle.source[2][0], triangle.source[2][1]],\n                    ];\n                    if (newTriangle[0][0] - leftBound_1 > this.sourceWorldWidth_ / 2) {\n                        newTriangle[0][0] -= this.sourceWorldWidth_;\n                    }\n                    if (newTriangle[1][0] - leftBound_1 > this.sourceWorldWidth_ / 2) {\n                        newTriangle[1][0] -= this.sourceWorldWidth_;\n                    }\n                    if (newTriangle[2][0] - leftBound_1 > this.sourceWorldWidth_ / 2) {\n                        newTriangle[2][0] -= this.sourceWorldWidth_;\n                    }\n                    // Rarely (if the extent contains both the dateline and prime meridian)\n                    // the shift can in turn break some triangles.\n                    // Detect this here and don't shift in such cases.\n                    var minX = Math.min(newTriangle[0][0], newTriangle[1][0], newTriangle[2][0]);\n                    var maxX = Math.max(newTriangle[0][0], newTriangle[1][0], newTriangle[2][0]);\n                    if (maxX - minX < this.sourceWorldWidth_ / 2) {\n                        triangle.source = newTriangle;\n                    }\n                }\n            }.bind(this));\n        }\n        transformInvCache = {};\n    }\n    /**\n     * Adds triangle to the triangulation.\n     * @param {import(\"../coordinate.js\").Coordinate} a The target a coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} b The target b coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} c The target c coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} aSrc The source a coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} bSrc The source b coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} cSrc The source c coordinate.\n     * @private\n     */\n    Triangulation.prototype.addTriangle_ = function (a, b, c, aSrc, bSrc, cSrc) {\n        this.triangles_.push({\n            source: [aSrc, bSrc, cSrc],\n            target: [a, b, c],\n        });\n    };\n    /**\n     * Adds quad (points in clock-wise order) to the triangulation\n     * (and reprojects the vertices) if valid.\n     * Performs quad subdivision if needed to increase precision.\n     *\n     * @param {import(\"../coordinate.js\").Coordinate} a The target a coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} b The target b coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} c The target c coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} d The target d coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} aSrc The source a coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} bSrc The source b coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} cSrc The source c coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} dSrc The source d coordinate.\n     * @param {number} maxSubdivision Maximal allowed subdivision of the quad.\n     * @private\n     */\n    Triangulation.prototype.addQuad_ = function (a, b, c, d, aSrc, bSrc, cSrc, dSrc, maxSubdivision) {\n        var sourceQuadExtent = boundingExtent([aSrc, bSrc, cSrc, dSrc]);\n        var sourceCoverageX = this.sourceWorldWidth_\n            ? getWidth(sourceQuadExtent) / this.sourceWorldWidth_\n            : null;\n        var sourceWorldWidth = /** @type {number} */ (this.sourceWorldWidth_);\n        // when the quad is wrapped in the source projection\n        // it covers most of the projection extent, but not fully\n        var wrapsX = this.sourceProj_.canWrapX() &&\n            sourceCoverageX > 0.5 &&\n            sourceCoverageX < 1;\n        var needsSubdivision = false;\n        if (maxSubdivision > 0) {\n            if (this.targetProj_.isGlobal() && this.targetWorldWidth_) {\n                var targetQuadExtent = boundingExtent([a, b, c, d]);\n                var targetCoverageX = getWidth(targetQuadExtent) / this.targetWorldWidth_;\n                needsSubdivision =\n                    targetCoverageX > MAX_TRIANGLE_WIDTH || needsSubdivision;\n            }\n            if (!wrapsX && this.sourceProj_.isGlobal() && sourceCoverageX) {\n                needsSubdivision =\n                    sourceCoverageX > MAX_TRIANGLE_WIDTH || needsSubdivision;\n            }\n        }\n        if (!needsSubdivision && this.maxSourceExtent_) {\n            if (isFinite(sourceQuadExtent[0]) &&\n                isFinite(sourceQuadExtent[1]) &&\n                isFinite(sourceQuadExtent[2]) &&\n                isFinite(sourceQuadExtent[3])) {\n                if (!intersects(sourceQuadExtent, this.maxSourceExtent_)) {\n                    // whole quad outside source projection extent -> ignore\n                    return;\n                }\n            }\n        }\n        var isNotFinite = 0;\n        if (!needsSubdivision) {\n            if (!isFinite(aSrc[0]) ||\n                !isFinite(aSrc[1]) ||\n                !isFinite(bSrc[0]) ||\n                !isFinite(bSrc[1]) ||\n                !isFinite(cSrc[0]) ||\n                !isFinite(cSrc[1]) ||\n                !isFinite(dSrc[0]) ||\n                !isFinite(dSrc[1])) {\n                if (maxSubdivision > 0) {\n                    needsSubdivision = true;\n                }\n                else {\n                    // It might be the case that only 1 of the points is infinite. In this case\n                    // we can draw a single triangle with the other three points\n                    isNotFinite =\n                        (!isFinite(aSrc[0]) || !isFinite(aSrc[1]) ? 8 : 0) +\n                            (!isFinite(bSrc[0]) || !isFinite(bSrc[1]) ? 4 : 0) +\n                            (!isFinite(cSrc[0]) || !isFinite(cSrc[1]) ? 2 : 0) +\n                            (!isFinite(dSrc[0]) || !isFinite(dSrc[1]) ? 1 : 0);\n                    if (isNotFinite != 1 &&\n                        isNotFinite != 2 &&\n                        isNotFinite != 4 &&\n                        isNotFinite != 8) {\n                        return;\n                    }\n                }\n            }\n        }\n        if (maxSubdivision > 0) {\n            if (!needsSubdivision) {\n                var center = [(a[0] + c[0]) / 2, (a[1] + c[1]) / 2];\n                var centerSrc = this.transformInv_(center);\n                var dx = void 0;\n                if (wrapsX) {\n                    var centerSrcEstimX = (modulo(aSrc[0], sourceWorldWidth) +\n                        modulo(cSrc[0], sourceWorldWidth)) /\n                        2;\n                    dx = centerSrcEstimX - modulo(centerSrc[0], sourceWorldWidth);\n                }\n                else {\n                    dx = (aSrc[0] + cSrc[0]) / 2 - centerSrc[0];\n                }\n                var dy = (aSrc[1] + cSrc[1]) / 2 - centerSrc[1];\n                var centerSrcErrorSquared = dx * dx + dy * dy;\n                needsSubdivision = centerSrcErrorSquared > this.errorThresholdSquared_;\n            }\n            if (needsSubdivision) {\n                if (Math.abs(a[0] - c[0]) <= Math.abs(a[1] - c[1])) {\n                    // split horizontally (top & bottom)\n                    var bc = [(b[0] + c[0]) / 2, (b[1] + c[1]) / 2];\n                    var bcSrc = this.transformInv_(bc);\n                    var da = [(d[0] + a[0]) / 2, (d[1] + a[1]) / 2];\n                    var daSrc = this.transformInv_(da);\n                    this.addQuad_(a, b, bc, da, aSrc, bSrc, bcSrc, daSrc, maxSubdivision - 1);\n                    this.addQuad_(da, bc, c, d, daSrc, bcSrc, cSrc, dSrc, maxSubdivision - 1);\n                }\n                else {\n                    // split vertically (left & right)\n                    var ab = [(a[0] + b[0]) / 2, (a[1] + b[1]) / 2];\n                    var abSrc = this.transformInv_(ab);\n                    var cd = [(c[0] + d[0]) / 2, (c[1] + d[1]) / 2];\n                    var cdSrc = this.transformInv_(cd);\n                    this.addQuad_(a, ab, cd, d, aSrc, abSrc, cdSrc, dSrc, maxSubdivision - 1);\n                    this.addQuad_(ab, b, c, cd, abSrc, bSrc, cSrc, cdSrc, maxSubdivision - 1);\n                }\n                return;\n            }\n        }\n        if (wrapsX) {\n            if (!this.canWrapXInSource_) {\n                return;\n            }\n            this.wrapsXInSource_ = true;\n        }\n        // Exactly zero or one of *Src is not finite\n        // The triangles must have the diagonal line as the first side\n        // This is to allow easy code in reproj.s to make it straight for broken\n        // browsers that can't handle diagonal clipping\n        if ((isNotFinite & 0xb) == 0) {\n            this.addTriangle_(a, c, d, aSrc, cSrc, dSrc);\n        }\n        if ((isNotFinite & 0xe) == 0) {\n            this.addTriangle_(a, c, b, aSrc, cSrc, bSrc);\n        }\n        if (isNotFinite) {\n            // Try the other two triangles\n            if ((isNotFinite & 0xd) == 0) {\n                this.addTriangle_(b, d, a, bSrc, dSrc, aSrc);\n            }\n            if ((isNotFinite & 0x7) == 0) {\n                this.addTriangle_(b, d, c, bSrc, dSrc, cSrc);\n            }\n        }\n    };\n    /**\n     * Calculates extent of the 'source' coordinates from all the triangles.\n     *\n     * @return {import(\"../extent.js\").Extent} Calculated extent.\n     */\n    Triangulation.prototype.calculateSourceExtent = function () {\n        var extent = createEmpty();\n        this.triangles_.forEach(function (triangle, i, arr) {\n            var src = triangle.source;\n            extendCoordinate(extent, src[0]);\n            extendCoordinate(extent, src[1]);\n            extendCoordinate(extent, src[2]);\n        });\n        return extent;\n    };\n    /**\n     * @return {Array<Triangle>} Array of the calculated triangles.\n     */\n    Triangulation.prototype.getTriangles = function () {\n        return this.triangles_;\n    };\n    return Triangulation;\n}());\nexport default Triangulation;\n//# sourceMappingURL=Triangulation.js.map","/**\n * @module ol/reproj\n */\nimport { IMAGE_SMOOTHING_DISABLED } from './renderer/canvas/common.js';\nimport { assign } from './obj.js';\nimport { containsCoordinate, createEmpty, extend, forEachCorner, getCenter, getHeight, getTopLeft, getWidth, } from './extent.js';\nimport { createCanvasContext2D } from './dom.js';\nimport { getPointResolution, transform } from './proj.js';\nimport { solveLinearSystem } from './math.js';\nvar brokenDiagonalRendering_;\n/**\n * This draws a small triangle into a canvas by setting the triangle as the clip region\n * and then drawing a (too large) rectangle\n *\n * @param {CanvasRenderingContext2D} ctx The context in which to draw the triangle\n * @param {number} u1 The x-coordinate of the second point. The first point is 0,0.\n * @param {number} v1 The y-coordinate of the second point.\n * @param {number} u2 The x-coordinate of the third point.\n * @param {number} v2 The y-coordinate of the third point.\n */\nfunction drawTestTriangle(ctx, u1, v1, u2, v2) {\n    ctx.beginPath();\n    ctx.moveTo(0, 0);\n    ctx.lineTo(u1, v1);\n    ctx.lineTo(u2, v2);\n    ctx.closePath();\n    ctx.save();\n    ctx.clip();\n    ctx.fillRect(0, 0, Math.max(u1, u2) + 1, Math.max(v1, v2));\n    ctx.restore();\n}\n/**\n * Given the data from getImageData, see if the right values appear at the provided offset.\n * Returns true if either the color or transparency is off\n *\n * @param {Uint8ClampedArray} data The data returned from getImageData\n * @param {number} offset The pixel offset from the start of data.\n * @return {boolean} true if the diagonal rendering is broken\n */\nfunction verifyBrokenDiagonalRendering(data, offset) {\n    // the values ought to be close to the rgba(210, 0, 0, 0.75)\n    return (Math.abs(data[offset * 4] - 210) > 2 ||\n        Math.abs(data[offset * 4 + 3] - 0.75 * 255) > 2);\n}\n/**\n * Determines if the current browser configuration can render triangular clip regions correctly.\n * This value is cached so the function is only expensive the first time called.\n * Firefox on Windows (as of now) does not if HWA is enabled. See https://bugzilla.mozilla.org/show_bug.cgi?id=1606976\n * IE also doesn't. Chrome works, and everything seems to work on OSX and Android. This function caches the\n * result. I suppose that it is conceivably possible that a browser might flip modes while the app is\n * running, but lets hope not.\n *\n * @return {boolean} true if the Diagonal Rendering is broken.\n */\nfunction isBrokenDiagonalRendering() {\n    if (brokenDiagonalRendering_ === undefined) {\n        var ctx = document.createElement('canvas').getContext('2d');\n        ctx.globalCompositeOperation = 'lighter';\n        ctx.fillStyle = 'rgba(210, 0, 0, 0.75)';\n        drawTestTriangle(ctx, 4, 5, 4, 0);\n        drawTestTriangle(ctx, 4, 5, 0, 5);\n        var data = ctx.getImageData(0, 0, 3, 3).data;\n        brokenDiagonalRendering_ =\n            verifyBrokenDiagonalRendering(data, 0) ||\n                verifyBrokenDiagonalRendering(data, 4) ||\n                verifyBrokenDiagonalRendering(data, 8);\n    }\n    return brokenDiagonalRendering_;\n}\n/**\n * Calculates ideal resolution to use from the source in order to achieve\n * pixel mapping as close as possible to 1:1 during reprojection.\n * The resolution is calculated regardless of what resolutions\n * are actually available in the dataset (TileGrid, Image, ...).\n *\n * @param {import(\"./proj/Projection.js\").default} sourceProj Source projection.\n * @param {import(\"./proj/Projection.js\").default} targetProj Target projection.\n * @param {import(\"./coordinate.js\").Coordinate} targetCenter Target center.\n * @param {number} targetResolution Target resolution.\n * @return {number} The best resolution to use. Can be +-Infinity, NaN or 0.\n */\nexport function calculateSourceResolution(sourceProj, targetProj, targetCenter, targetResolution) {\n    var sourceCenter = transform(targetCenter, targetProj, sourceProj);\n    // calculate the ideal resolution of the source data\n    var sourceResolution = getPointResolution(targetProj, targetResolution, targetCenter);\n    var targetMetersPerUnit = targetProj.getMetersPerUnit();\n    if (targetMetersPerUnit !== undefined) {\n        sourceResolution *= targetMetersPerUnit;\n    }\n    var sourceMetersPerUnit = sourceProj.getMetersPerUnit();\n    if (sourceMetersPerUnit !== undefined) {\n        sourceResolution /= sourceMetersPerUnit;\n    }\n    // Based on the projection properties, the point resolution at the specified\n    // coordinates may be slightly different. We need to reverse-compensate this\n    // in order to achieve optimal results.\n    var sourceExtent = sourceProj.getExtent();\n    if (!sourceExtent || containsCoordinate(sourceExtent, sourceCenter)) {\n        var compensationFactor = getPointResolution(sourceProj, sourceResolution, sourceCenter) /\n            sourceResolution;\n        if (isFinite(compensationFactor) && compensationFactor > 0) {\n            sourceResolution /= compensationFactor;\n        }\n    }\n    return sourceResolution;\n}\n/**\n * Calculates ideal resolution to use from the source in order to achieve\n * pixel mapping as close as possible to 1:1 during reprojection.\n * The resolution is calculated regardless of what resolutions\n * are actually available in the dataset (TileGrid, Image, ...).\n *\n * @param {import(\"./proj/Projection.js\").default} sourceProj Source projection.\n * @param {import(\"./proj/Projection.js\").default} targetProj Target projection.\n * @param {import(\"./extent.js\").Extent} targetExtent Target extent\n * @param {number} targetResolution Target resolution.\n * @return {number} The best resolution to use. Can be +-Infinity, NaN or 0.\n */\nexport function calculateSourceExtentResolution(sourceProj, targetProj, targetExtent, targetResolution) {\n    var targetCenter = getCenter(targetExtent);\n    var sourceResolution = calculateSourceResolution(sourceProj, targetProj, targetCenter, targetResolution);\n    if (!isFinite(sourceResolution) || sourceResolution <= 0) {\n        forEachCorner(targetExtent, function (corner) {\n            sourceResolution = calculateSourceResolution(sourceProj, targetProj, corner, targetResolution);\n            return isFinite(sourceResolution) && sourceResolution > 0;\n        });\n    }\n    return sourceResolution;\n}\n/**\n * @typedef {Object} ImageExtent\n * @property {import(\"./extent.js\").Extent} extent Extent.\n * @property {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} image Image.\n */\n/**\n * Renders the source data into new canvas based on the triangulation.\n *\n * @param {number} width Width of the canvas.\n * @param {number} height Height of the canvas.\n * @param {number} pixelRatio Pixel ratio.\n * @param {number} sourceResolution Source resolution.\n * @param {import(\"./extent.js\").Extent} sourceExtent Extent of the data source.\n * @param {number} targetResolution Target resolution.\n * @param {import(\"./extent.js\").Extent} targetExtent Target extent.\n * @param {import(\"./reproj/Triangulation.js\").default} triangulation Calculated triangulation.\n * @param {Array<ImageExtent>} sources Array of sources.\n * @param {number} gutter Gutter of the sources.\n * @param {boolean} [opt_renderEdges] Render reprojection edges.\n * @param {object} [opt_interpolate] Use linear interpolation when resampling.\n * @return {HTMLCanvasElement} Canvas with reprojected data.\n */\nexport function render(width, height, pixelRatio, sourceResolution, sourceExtent, targetResolution, targetExtent, triangulation, sources, gutter, opt_renderEdges, opt_interpolate) {\n    var context = createCanvasContext2D(Math.round(pixelRatio * width), Math.round(pixelRatio * height));\n    if (!opt_interpolate) {\n        assign(context, IMAGE_SMOOTHING_DISABLED);\n    }\n    if (sources.length === 0) {\n        return context.canvas;\n    }\n    context.scale(pixelRatio, pixelRatio);\n    function pixelRound(value) {\n        return Math.round(value * pixelRatio) / pixelRatio;\n    }\n    context.globalCompositeOperation = 'lighter';\n    var sourceDataExtent = createEmpty();\n    sources.forEach(function (src, i, arr) {\n        extend(sourceDataExtent, src.extent);\n    });\n    var canvasWidthInUnits = getWidth(sourceDataExtent);\n    var canvasHeightInUnits = getHeight(sourceDataExtent);\n    var stitchContext = createCanvasContext2D(Math.round((pixelRatio * canvasWidthInUnits) / sourceResolution), Math.round((pixelRatio * canvasHeightInUnits) / sourceResolution));\n    if (!opt_interpolate) {\n        assign(stitchContext, IMAGE_SMOOTHING_DISABLED);\n    }\n    var stitchScale = pixelRatio / sourceResolution;\n    sources.forEach(function (src, i, arr) {\n        var xPos = src.extent[0] - sourceDataExtent[0];\n        var yPos = -(src.extent[3] - sourceDataExtent[3]);\n        var srcWidth = getWidth(src.extent);\n        var srcHeight = getHeight(src.extent);\n        // This test should never fail -- but it does. Need to find a fix the upstream condition\n        if (src.image.width > 0 && src.image.height > 0) {\n            stitchContext.drawImage(src.image, gutter, gutter, src.image.width - 2 * gutter, src.image.height - 2 * gutter, xPos * stitchScale, yPos * stitchScale, srcWidth * stitchScale, srcHeight * stitchScale);\n        }\n    });\n    var targetTopLeft = getTopLeft(targetExtent);\n    triangulation.getTriangles().forEach(function (triangle, i, arr) {\n        /* Calculate affine transform (src -> dst)\n         * Resulting matrix can be used to transform coordinate\n         * from `sourceProjection` to destination pixels.\n         *\n         * To optimize number of context calls and increase numerical stability,\n         * we also do the following operations:\n         * trans(-topLeftExtentCorner), scale(1 / targetResolution), scale(1, -1)\n         * here before solving the linear system so [ui, vi] are pixel coordinates.\n         *\n         * Src points: xi, yi\n         * Dst points: ui, vi\n         * Affine coefficients: aij\n         *\n         * | x0 y0 1  0  0 0 |   |a00|   |u0|\n         * | x1 y1 1  0  0 0 |   |a01|   |u1|\n         * | x2 y2 1  0  0 0 | x |a02| = |u2|\n         * |  0  0 0 x0 y0 1 |   |a10|   |v0|\n         * |  0  0 0 x1 y1 1 |   |a11|   |v1|\n         * |  0  0 0 x2 y2 1 |   |a12|   |v2|\n         */\n        var source = triangle.source;\n        var target = triangle.target;\n        var x0 = source[0][0], y0 = source[0][1];\n        var x1 = source[1][0], y1 = source[1][1];\n        var x2 = source[2][0], y2 = source[2][1];\n        // Make sure that everything is on pixel boundaries\n        var u0 = pixelRound((target[0][0] - targetTopLeft[0]) / targetResolution);\n        var v0 = pixelRound(-(target[0][1] - targetTopLeft[1]) / targetResolution);\n        var u1 = pixelRound((target[1][0] - targetTopLeft[0]) / targetResolution);\n        var v1 = pixelRound(-(target[1][1] - targetTopLeft[1]) / targetResolution);\n        var u2 = pixelRound((target[2][0] - targetTopLeft[0]) / targetResolution);\n        var v2 = pixelRound(-(target[2][1] - targetTopLeft[1]) / targetResolution);\n        // Shift all the source points to improve numerical stability\n        // of all the subsequent calculations. The [x0, y0] is used here.\n        // This is also used to simplify the linear system.\n        var sourceNumericalShiftX = x0;\n        var sourceNumericalShiftY = y0;\n        x0 = 0;\n        y0 = 0;\n        x1 -= sourceNumericalShiftX;\n        y1 -= sourceNumericalShiftY;\n        x2 -= sourceNumericalShiftX;\n        y2 -= sourceNumericalShiftY;\n        var augmentedMatrix = [\n            [x1, y1, 0, 0, u1 - u0],\n            [x2, y2, 0, 0, u2 - u0],\n            [0, 0, x1, y1, v1 - v0],\n            [0, 0, x2, y2, v2 - v0],\n        ];\n        var affineCoefs = solveLinearSystem(augmentedMatrix);\n        if (!affineCoefs) {\n            return;\n        }\n        context.save();\n        context.beginPath();\n        if (isBrokenDiagonalRendering() || !opt_interpolate) {\n            // Make sure that all lines are horizontal or vertical\n            context.moveTo(u1, v1);\n            // This is the diagonal line. Do it in 4 steps\n            var steps = 4;\n            var ud = u0 - u1;\n            var vd = v0 - v1;\n            for (var step = 0; step < steps; step++) {\n                // Go horizontally\n                context.lineTo(u1 + pixelRound(((step + 1) * ud) / steps), v1 + pixelRound((step * vd) / (steps - 1)));\n                // Go vertically\n                if (step != steps - 1) {\n                    context.lineTo(u1 + pixelRound(((step + 1) * ud) / steps), v1 + pixelRound(((step + 1) * vd) / (steps - 1)));\n                }\n            }\n            // We are almost at u0r, v0r\n            context.lineTo(u2, v2);\n        }\n        else {\n            context.moveTo(u1, v1);\n            context.lineTo(u0, v0);\n            context.lineTo(u2, v2);\n        }\n        context.clip();\n        context.transform(affineCoefs[0], affineCoefs[2], affineCoefs[1], affineCoefs[3], u0, v0);\n        context.translate(sourceDataExtent[0] - sourceNumericalShiftX, sourceDataExtent[3] - sourceNumericalShiftY);\n        context.scale(sourceResolution / pixelRatio, -sourceResolution / pixelRatio);\n        context.drawImage(stitchContext.canvas, 0, 0);\n        context.restore();\n    });\n    if (opt_renderEdges) {\n        context.save();\n        context.globalCompositeOperation = 'source-over';\n        context.strokeStyle = 'black';\n        context.lineWidth = 1;\n        triangulation.getTriangles().forEach(function (triangle, i, arr) {\n            var target = triangle.target;\n            var u0 = (target[0][0] - targetTopLeft[0]) / targetResolution;\n            var v0 = -(target[0][1] - targetTopLeft[1]) / targetResolution;\n            var u1 = (target[1][0] - targetTopLeft[0]) / targetResolution;\n            var v1 = -(target[1][1] - targetTopLeft[1]) / targetResolution;\n            var u2 = (target[2][0] - targetTopLeft[0]) / targetResolution;\n            var v2 = -(target[2][1] - targetTopLeft[1]) / targetResolution;\n            context.beginPath();\n            context.moveTo(u1, v1);\n            context.lineTo(u0, v0);\n            context.lineTo(u2, v2);\n            context.closePath();\n            context.stroke();\n        });\n        context.restore();\n    }\n    return context.canvas;\n}\n//# sourceMappingURL=reproj.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/reproj/Tile\n */\nimport { ERROR_THRESHOLD } from './common.js';\nimport EventType from '../events/EventType.js';\nimport Tile from '../Tile.js';\nimport TileState from '../TileState.js';\nimport Triangulation from './Triangulation.js';\nimport { calculateSourceExtentResolution, render as renderReprojected, } from '../reproj.js';\nimport { clamp } from '../math.js';\nimport { getArea, getIntersection } from '../extent.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {function(number, number, number, number) : import(\"../Tile.js\").default} FunctionType\n */\n/**\n * @classdesc\n * Class encapsulating single reprojected tile.\n * See {@link module:ol/source/TileImage~TileImage}.\n *\n */\nvar ReprojTile = /** @class */ (function (_super) {\n    __extends(ReprojTile, _super);\n    /**\n     * @param {import(\"../proj/Projection.js\").default} sourceProj Source projection.\n     * @param {import(\"../tilegrid/TileGrid.js\").default} sourceTileGrid Source tile grid.\n     * @param {import(\"../proj/Projection.js\").default} targetProj Target projection.\n     * @param {import(\"../tilegrid/TileGrid.js\").default} targetTileGrid Target tile grid.\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Coordinate of the tile.\n     * @param {import(\"../tilecoord.js\").TileCoord} wrappedTileCoord Coordinate of the tile wrapped in X.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {number} gutter Gutter of the source tiles.\n     * @param {FunctionType} getTileFunction\n     *     Function returning source tiles (z, x, y, pixelRatio).\n     * @param {number} [opt_errorThreshold] Acceptable reprojection error (in px).\n     * @param {boolean} [opt_renderEdges] Render reprojection edges.\n     * @param {boolean} [opt_interpolate] Use linear interpolation when resampling.\n     */\n    function ReprojTile(sourceProj, sourceTileGrid, targetProj, targetTileGrid, tileCoord, wrappedTileCoord, pixelRatio, gutter, getTileFunction, opt_errorThreshold, opt_renderEdges, opt_interpolate) {\n        var _this = _super.call(this, tileCoord, TileState.IDLE, { interpolate: !!opt_interpolate }) || this;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderEdges_ = opt_renderEdges !== undefined ? opt_renderEdges : false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.pixelRatio_ = pixelRatio;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.gutter_ = gutter;\n        /**\n         * @private\n         * @type {HTMLCanvasElement}\n         */\n        _this.canvas_ = null;\n        /**\n         * @private\n         * @type {import(\"../tilegrid/TileGrid.js\").default}\n         */\n        _this.sourceTileGrid_ = sourceTileGrid;\n        /**\n         * @private\n         * @type {import(\"../tilegrid/TileGrid.js\").default}\n         */\n        _this.targetTileGrid_ = targetTileGrid;\n        /**\n         * @private\n         * @type {import(\"../tilecoord.js\").TileCoord}\n         */\n        _this.wrappedTileCoord_ = wrappedTileCoord ? wrappedTileCoord : tileCoord;\n        /**\n         * @private\n         * @type {!Array<import(\"../Tile.js\").default>}\n         */\n        _this.sourceTiles_ = [];\n        /**\n         * @private\n         * @type {?Array<import(\"../events.js\").EventsKey>}\n         */\n        _this.sourcesListenerKeys_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.sourceZ_ = 0;\n        var targetExtent = targetTileGrid.getTileCoordExtent(_this.wrappedTileCoord_);\n        var maxTargetExtent = _this.targetTileGrid_.getExtent();\n        var maxSourceExtent = _this.sourceTileGrid_.getExtent();\n        var limitedTargetExtent = maxTargetExtent\n            ? getIntersection(targetExtent, maxTargetExtent)\n            : targetExtent;\n        if (getArea(limitedTargetExtent) === 0) {\n            // Tile is completely outside range -> EMPTY\n            // TODO: is it actually correct that the source even creates the tile ?\n            _this.state = TileState.EMPTY;\n            return _this;\n        }\n        var sourceProjExtent = sourceProj.getExtent();\n        if (sourceProjExtent) {\n            if (!maxSourceExtent) {\n                maxSourceExtent = sourceProjExtent;\n            }\n            else {\n                maxSourceExtent = getIntersection(maxSourceExtent, sourceProjExtent);\n            }\n        }\n        var targetResolution = targetTileGrid.getResolution(_this.wrappedTileCoord_[0]);\n        var sourceResolution = calculateSourceExtentResolution(sourceProj, targetProj, limitedTargetExtent, targetResolution);\n        if (!isFinite(sourceResolution) || sourceResolution <= 0) {\n            // invalid sourceResolution -> EMPTY\n            // probably edges of the projections when no extent is defined\n            _this.state = TileState.EMPTY;\n            return _this;\n        }\n        var errorThresholdInPixels = opt_errorThreshold !== undefined ? opt_errorThreshold : ERROR_THRESHOLD;\n        /**\n         * @private\n         * @type {!import(\"./Triangulation.js\").default}\n         */\n        _this.triangulation_ = new Triangulation(sourceProj, targetProj, limitedTargetExtent, maxSourceExtent, sourceResolution * errorThresholdInPixels, targetResolution);\n        if (_this.triangulation_.getTriangles().length === 0) {\n            // no valid triangles -> EMPTY\n            _this.state = TileState.EMPTY;\n            return _this;\n        }\n        _this.sourceZ_ = sourceTileGrid.getZForResolution(sourceResolution);\n        var sourceExtent = _this.triangulation_.calculateSourceExtent();\n        if (maxSourceExtent) {\n            if (sourceProj.canWrapX()) {\n                sourceExtent[1] = clamp(sourceExtent[1], maxSourceExtent[1], maxSourceExtent[3]);\n                sourceExtent[3] = clamp(sourceExtent[3], maxSourceExtent[1], maxSourceExtent[3]);\n            }\n            else {\n                sourceExtent = getIntersection(sourceExtent, maxSourceExtent);\n            }\n        }\n        if (!getArea(sourceExtent)) {\n            _this.state = TileState.EMPTY;\n        }\n        else {\n            var sourceRange = sourceTileGrid.getTileRangeForExtentAndZ(sourceExtent, _this.sourceZ_);\n            for (var srcX = sourceRange.minX; srcX <= sourceRange.maxX; srcX++) {\n                for (var srcY = sourceRange.minY; srcY <= sourceRange.maxY; srcY++) {\n                    var tile = getTileFunction(_this.sourceZ_, srcX, srcY, pixelRatio);\n                    if (tile) {\n                        _this.sourceTiles_.push(tile);\n                    }\n                }\n            }\n            if (_this.sourceTiles_.length === 0) {\n                _this.state = TileState.EMPTY;\n            }\n        }\n        return _this;\n    }\n    /**\n     * Get the HTML Canvas element for this tile.\n     * @return {HTMLCanvasElement} Canvas.\n     */\n    ReprojTile.prototype.getImage = function () {\n        return this.canvas_;\n    };\n    /**\n     * @private\n     */\n    ReprojTile.prototype.reproject_ = function () {\n        var sources = [];\n        this.sourceTiles_.forEach(function (tile, i, arr) {\n            if (tile && tile.getState() == TileState.LOADED) {\n                sources.push({\n                    extent: this.sourceTileGrid_.getTileCoordExtent(tile.tileCoord),\n                    image: tile.getImage(),\n                });\n            }\n        }.bind(this));\n        this.sourceTiles_.length = 0;\n        if (sources.length === 0) {\n            this.state = TileState.ERROR;\n        }\n        else {\n            var z = this.wrappedTileCoord_[0];\n            var size = this.targetTileGrid_.getTileSize(z);\n            var width = typeof size === 'number' ? size : size[0];\n            var height = typeof size === 'number' ? size : size[1];\n            var targetResolution = this.targetTileGrid_.getResolution(z);\n            var sourceResolution = this.sourceTileGrid_.getResolution(this.sourceZ_);\n            var targetExtent = this.targetTileGrid_.getTileCoordExtent(this.wrappedTileCoord_);\n            this.canvas_ = renderReprojected(width, height, this.pixelRatio_, sourceResolution, this.sourceTileGrid_.getExtent(), targetResolution, targetExtent, this.triangulation_, sources, this.gutter_, this.renderEdges_, this.interpolate);\n            this.state = TileState.LOADED;\n        }\n        this.changed();\n    };\n    /**\n     * Load not yet loaded URI.\n     */\n    ReprojTile.prototype.load = function () {\n        if (this.state == TileState.IDLE) {\n            this.state = TileState.LOADING;\n            this.changed();\n            var leftToLoad_1 = 0;\n            this.sourcesListenerKeys_ = [];\n            this.sourceTiles_.forEach(function (tile, i, arr) {\n                var state = tile.getState();\n                if (state == TileState.IDLE || state == TileState.LOADING) {\n                    leftToLoad_1++;\n                    var sourceListenKey_1 = listen(tile, EventType.CHANGE, function (e) {\n                        var state = tile.getState();\n                        if (state == TileState.LOADED ||\n                            state == TileState.ERROR ||\n                            state == TileState.EMPTY) {\n                            unlistenByKey(sourceListenKey_1);\n                            leftToLoad_1--;\n                            if (leftToLoad_1 === 0) {\n                                this.unlistenSources_();\n                                this.reproject_();\n                            }\n                        }\n                    }, this);\n                    this.sourcesListenerKeys_.push(sourceListenKey_1);\n                }\n            }.bind(this));\n            if (leftToLoad_1 === 0) {\n                setTimeout(this.reproject_.bind(this), 0);\n            }\n            else {\n                this.sourceTiles_.forEach(function (tile, i, arr) {\n                    var state = tile.getState();\n                    if (state == TileState.IDLE) {\n                        tile.load();\n                    }\n                });\n            }\n        }\n    };\n    /**\n     * @private\n     */\n    ReprojTile.prototype.unlistenSources_ = function () {\n        this.sourcesListenerKeys_.forEach(unlistenByKey);\n        this.sourcesListenerKeys_ = null;\n    };\n    return ReprojTile;\n}(Tile));\nexport default ReprojTile;\n//# sourceMappingURL=Tile.js.map","/**\n * @module ol/reproj/common\n */\n/**\n * Default maximum allowed threshold  (in pixels) for reprojection\n * triangulation.\n * @type {number}\n */\nexport var ERROR_THRESHOLD = 0.5;\n/**\n * Enable automatic reprojection of raster sources. Default is `true`.\n * TODO: decide if we want to expose this as a build flag or remove it\n * @type {boolean}\n */\nexport var ENABLE_RASTER_REPROJECTION = true;\n//# sourceMappingURL=common.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/source/TileImage\n */\nimport EventType from '../events/EventType.js';\nimport ImageTile from '../ImageTile.js';\nimport ReprojTile from '../reproj/Tile.js';\nimport TileCache from '../TileCache.js';\nimport TileState from '../TileState.js';\nimport UrlTile from './UrlTile.js';\nimport { ENABLE_RASTER_REPROJECTION } from '../reproj/common.js';\nimport { equivalent, get as getProjection } from '../proj.js';\nimport { getKey, getKeyZXY } from '../tilecoord.js';\nimport { getForProjection as getTileGridForProjection } from '../tilegrid.js';\nimport { getUid } from '../util.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least the number of tiles in the viewport.\n * @property {null|string} [crossOrigin] The `crossOrigin` attribute for loaded images.  Note that\n * you must provide a `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {boolean} [opaque=false] Whether the layer is opaque.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection. Default is the view projection.\n * @property {number} [reprojectionErrorThreshold=0.5] Maximum allowed reprojection error (in pixels).\n * Higher values can increase reprojection performance, but decrease precision.\n * @property {import(\"./State.js\").default} [state] Source state.\n * @property {typeof import(\"../ImageTile.js\").default} [tileClass] Class used to instantiate image tiles.\n * Default is {@link module:ol/ImageTile~ImageTile}.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] Tile grid.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction] Optional function to load a tile given a URL. The default is\n * ```js\n * function(imageTile, src) {\n *   imageTile.getImage().src = src;\n * };\n * ```\n * @property {number} [tilePixelRatio=1] The pixel ratio used by the tile service. For example, if the tile\n * service advertizes 256px by 256px tiles but actually sends 512px\n * by 512px images (for retina/hidpi devices) then `tilePixelRatio`\n * should be set to `2`.\n * @property {import(\"../Tile.js\").UrlFunction} [tileUrlFunction] Optional function to get tile URL given a tile coordinate and the projection.\n * @property {string} [url] URL template. Must include `{x}`, `{y}` or `{-y}`, and `{z}` placeholders.\n * A `{?-?}` template pattern, for example `subdomain{a-f}.domain.com`, may be\n * used instead of defining each one separately in the `urls` option.\n * @property {Array<string>} [urls] An array of URL templates.\n * @property {boolean} [wrapX] Whether to wrap the world horizontally. The default, is to\n * request out-of-bounds tiles from the server. When set to `false`, only one\n * world will be rendered. When set to `true`, tiles will be requested for one\n * world only, but they will be wrapped horizontally to render multiple worlds.\n * @property {number} [transition] Duration of the opacity transition for rendering.\n * To disable the opacity transition, pass `transition: 0`.\n * @property {string} [key] Optional tile key for proper cache fetching\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @classdesc\n * Base class for sources providing images divided into a tile grid.\n *\n * @fires import(\"./Tile.js\").TileSourceEvent\n * @api\n */\nvar TileImage = /** @class */ (function (_super) {\n    __extends(TileImage, _super);\n    /**\n     * @param {!Options} options Image tile options.\n     */\n    function TileImage(options) {\n        var _this = this;\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            cacheSize: options.cacheSize,\n            opaque: options.opaque,\n            projection: options.projection,\n            state: options.state,\n            tileGrid: options.tileGrid,\n            tileLoadFunction: options.tileLoadFunction\n                ? options.tileLoadFunction\n                : defaultTileLoadFunction,\n            tilePixelRatio: options.tilePixelRatio,\n            tileUrlFunction: options.tileUrlFunction,\n            url: options.url,\n            urls: options.urls,\n            wrapX: options.wrapX,\n            transition: options.transition,\n            interpolate: interpolate,\n            key: options.key,\n            attributionsCollapsible: options.attributionsCollapsible,\n            zDirection: options.zDirection,\n        }) || this;\n        /**\n         * @protected\n         * @type {?string}\n         */\n        _this.crossOrigin =\n            options.crossOrigin !== undefined ? options.crossOrigin : null;\n        /**\n         * @protected\n         * @type {typeof ImageTile}\n         */\n        _this.tileClass =\n            options.tileClass !== undefined ? options.tileClass : ImageTile;\n        /**\n         * @protected\n         * @type {!Object<string, TileCache>}\n         */\n        _this.tileCacheForProjection = {};\n        /**\n         * @protected\n         * @type {!Object<string, import(\"../tilegrid/TileGrid.js\").default>}\n         */\n        _this.tileGridForProjection = {};\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.reprojectionErrorThreshold_ = options.reprojectionErrorThreshold;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderReprojectionEdges_ = false;\n        return _this;\n    }\n    /**\n     * @return {boolean} Can expire cache.\n     */\n    TileImage.prototype.canExpireCache = function () {\n        if (!ENABLE_RASTER_REPROJECTION) {\n            return _super.prototype.canExpireCache.call(this);\n        }\n        if (this.tileCache.canExpireCache()) {\n            return true;\n        }\n        else {\n            for (var key in this.tileCacheForProjection) {\n                if (this.tileCacheForProjection[key].canExpireCache()) {\n                    return true;\n                }\n            }\n        }\n        return false;\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {!Object<string, boolean>} usedTiles Used tiles.\n     */\n    TileImage.prototype.expireCache = function (projection, usedTiles) {\n        if (!ENABLE_RASTER_REPROJECTION) {\n            _super.prototype.expireCache.call(this, projection, usedTiles);\n            return;\n        }\n        var usedTileCache = this.getTileCacheForProjection(projection);\n        this.tileCache.expireCache(this.tileCache == usedTileCache ? usedTiles : {});\n        for (var id in this.tileCacheForProjection) {\n            var tileCache = this.tileCacheForProjection[id];\n            tileCache.expireCache(tileCache == usedTileCache ? usedTiles : {});\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {number} Gutter.\n     */\n    TileImage.prototype.getGutterForProjection = function (projection) {\n        if (ENABLE_RASTER_REPROJECTION &&\n            this.getProjection() &&\n            projection &&\n            !equivalent(this.getProjection(), projection)) {\n            return 0;\n        }\n        else {\n            return this.getGutter();\n        }\n    };\n    /**\n     * @return {number} Gutter.\n     */\n    TileImage.prototype.getGutter = function () {\n        return 0;\n    };\n    /**\n     * Return the key to be used for all tiles in the source.\n     * @return {string} The key for all tiles.\n     */\n    TileImage.prototype.getKey = function () {\n        var key = _super.prototype.getKey.call(this);\n        if (!this.getInterpolate()) {\n            key += ':disable-interpolation';\n        }\n        return key;\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {boolean} Opaque.\n     */\n    TileImage.prototype.getOpaque = function (projection) {\n        if (ENABLE_RASTER_REPROJECTION &&\n            this.getProjection() &&\n            projection &&\n            !equivalent(this.getProjection(), projection)) {\n            return false;\n        }\n        else {\n            return _super.prototype.getOpaque.call(this, projection);\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!import(\"../tilegrid/TileGrid.js\").default} Tile grid.\n     */\n    TileImage.prototype.getTileGridForProjection = function (projection) {\n        if (!ENABLE_RASTER_REPROJECTION) {\n            return _super.prototype.getTileGridForProjection.call(this, projection);\n        }\n        var thisProj = this.getProjection();\n        if (this.tileGrid && (!thisProj || equivalent(thisProj, projection))) {\n            return this.tileGrid;\n        }\n        else {\n            var projKey = getUid(projection);\n            if (!(projKey in this.tileGridForProjection)) {\n                this.tileGridForProjection[projKey] =\n                    getTileGridForProjection(projection);\n            }\n            return this.tileGridForProjection[projKey];\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../TileCache.js\").default} Tile cache.\n     */\n    TileImage.prototype.getTileCacheForProjection = function (projection) {\n        if (!ENABLE_RASTER_REPROJECTION) {\n            return _super.prototype.getTileCacheForProjection.call(this, projection);\n        }\n        var thisProj = this.getProjection();\n        if (!thisProj || equivalent(thisProj, projection)) {\n            return this.tileCache;\n        }\n        else {\n            var projKey = getUid(projection);\n            if (!(projKey in this.tileCacheForProjection)) {\n                this.tileCacheForProjection[projKey] = new TileCache(this.tileCache.highWaterMark);\n            }\n            return this.tileCacheForProjection[projKey];\n        }\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {string} key The key set on the tile.\n     * @return {!ImageTile} Tile.\n     * @private\n     */\n    TileImage.prototype.createTile_ = function (z, x, y, pixelRatio, projection, key) {\n        var tileCoord = [z, x, y];\n        var urlTileCoord = this.getTileCoordForTileUrlFunction(tileCoord, projection);\n        var tileUrl = urlTileCoord\n            ? this.tileUrlFunction(urlTileCoord, pixelRatio, projection)\n            : undefined;\n        var tile = new this.tileClass(tileCoord, tileUrl !== undefined ? TileState.IDLE : TileState.EMPTY, tileUrl !== undefined ? tileUrl : '', this.crossOrigin, this.tileLoadFunction, this.tileOptions);\n        tile.key = key;\n        tile.addEventListener(EventType.CHANGE, this.handleTileChange.bind(this));\n        return tile;\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!(ImageTile|ReprojTile)} Tile.\n     */\n    TileImage.prototype.getTile = function (z, x, y, pixelRatio, projection) {\n        var sourceProjection = this.getProjection();\n        if (!ENABLE_RASTER_REPROJECTION ||\n            !sourceProjection ||\n            !projection ||\n            equivalent(sourceProjection, projection)) {\n            return this.getTileInternal(z, x, y, pixelRatio, sourceProjection || projection);\n        }\n        else {\n            var cache = this.getTileCacheForProjection(projection);\n            var tileCoord = [z, x, y];\n            var tile = void 0;\n            var tileCoordKey = getKey(tileCoord);\n            if (cache.containsKey(tileCoordKey)) {\n                tile = cache.get(tileCoordKey);\n            }\n            var key = this.getKey();\n            if (tile && tile.key == key) {\n                return tile;\n            }\n            else {\n                var sourceTileGrid = this.getTileGridForProjection(sourceProjection);\n                var targetTileGrid = this.getTileGridForProjection(projection);\n                var wrappedTileCoord = this.getTileCoordForTileUrlFunction(tileCoord, projection);\n                var newTile = new ReprojTile(sourceProjection, sourceTileGrid, projection, targetTileGrid, tileCoord, wrappedTileCoord, this.getTilePixelRatio(pixelRatio), this.getGutter(), function (z, x, y, pixelRatio) {\n                    return this.getTileInternal(z, x, y, pixelRatio, sourceProjection);\n                }.bind(this), this.reprojectionErrorThreshold_, this.renderReprojectionEdges_, this.getInterpolate());\n                newTile.key = key;\n                if (tile) {\n                    newTile.interimTile = tile;\n                    newTile.refreshInterimChain();\n                    cache.replace(tileCoordKey, newTile);\n                }\n                else {\n                    cache.set(tileCoordKey, newTile);\n                }\n                return newTile;\n            }\n        }\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {!import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!(ImageTile|ReprojTile)} Tile.\n     * @protected\n     */\n    TileImage.prototype.getTileInternal = function (z, x, y, pixelRatio, projection) {\n        var tile = null;\n        var tileCoordKey = getKeyZXY(z, x, y);\n        var key = this.getKey();\n        if (!this.tileCache.containsKey(tileCoordKey)) {\n            tile = this.createTile_(z, x, y, pixelRatio, projection, key);\n            this.tileCache.set(tileCoordKey, tile);\n        }\n        else {\n            tile = this.tileCache.get(tileCoordKey);\n            if (tile.key != key) {\n                // The source's params changed. If the tile has an interim tile and if we\n                // can use it then we use it. Otherwise we create a new tile.  In both\n                // cases we attempt to assign an interim tile to the new tile.\n                var interimTile = tile;\n                tile = this.createTile_(z, x, y, pixelRatio, projection, key);\n                //make the new tile the head of the list,\n                if (interimTile.getState() == TileState.IDLE) {\n                    //the old tile hasn't begun loading yet, and is now outdated, so we can simply discard it\n                    tile.interimTile = interimTile.interimTile;\n                }\n                else {\n                    tile.interimTile = interimTile;\n                }\n                tile.refreshInterimChain();\n                this.tileCache.replace(tileCoordKey, tile);\n            }\n        }\n        return tile;\n    };\n    /**\n     * Sets whether to render reprojection edges or not (usually for debugging).\n     * @param {boolean} render Render the edges.\n     * @api\n     */\n    TileImage.prototype.setRenderReprojectionEdges = function (render) {\n        if (!ENABLE_RASTER_REPROJECTION ||\n            this.renderReprojectionEdges_ == render) {\n            return;\n        }\n        this.renderReprojectionEdges_ = render;\n        for (var id in this.tileCacheForProjection) {\n            this.tileCacheForProjection[id].clear();\n        }\n        this.changed();\n    };\n    /**\n     * Sets the tile grid to use when reprojecting the tiles to the given\n     * projection instead of the default tile grid for the projection.\n     *\n     * This can be useful when the default tile grid cannot be created\n     * (e.g. projection has no extent defined) or\n     * for optimization reasons (custom tile size, resolutions, ...).\n     *\n     * @param {import(\"../proj.js\").ProjectionLike} projection Projection.\n     * @param {import(\"../tilegrid/TileGrid.js\").default} tilegrid Tile grid to use for the projection.\n     * @api\n     */\n    TileImage.prototype.setTileGridForProjection = function (projection, tilegrid) {\n        if (ENABLE_RASTER_REPROJECTION) {\n            var proj = getProjection(projection);\n            if (proj) {\n                var projKey = getUid(proj);\n                if (!(projKey in this.tileGridForProjection)) {\n                    this.tileGridForProjection[projKey] = tilegrid;\n                }\n            }\n        }\n    };\n    return TileImage;\n}(UrlTile));\n/**\n * @param {ImageTile} imageTile Image tile.\n * @param {string} src Source.\n */\nfunction defaultTileLoadFunction(imageTile, src) {\n    /** @type {HTMLImageElement|HTMLVideoElement} */ (imageTile.getImage()).src =\n        src;\n}\nexport default TileImage;\n//# sourceMappingURL=TileImage.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/net\n */\nimport { getUid } from './util.js';\n/**\n * Simple JSONP helper. Supports error callbacks and a custom callback param.\n * The error callback will be called when no JSONP is executed after 10 seconds.\n *\n * @param {string} url Request url. A 'callback' query parameter will be\n *     appended.\n * @param {Function} callback Callback on success.\n * @param {Function} [opt_errback] Callback on error.\n * @param {string} [opt_callbackParam] Custom query parameter for the JSONP\n *     callback. Default is 'callback'.\n */\nexport function jsonp(url, callback, opt_errback, opt_callbackParam) {\n    var script = document.createElement('script');\n    var key = 'olc_' + getUid(callback);\n    function cleanup() {\n        delete window[key];\n        script.parentNode.removeChild(script);\n    }\n    script.async = true;\n    script.src =\n        url +\n            (url.indexOf('?') == -1 ? '?' : '&') +\n            (opt_callbackParam || 'callback') +\n            '=' +\n            key;\n    var timer = setTimeout(function () {\n        cleanup();\n        if (opt_errback) {\n            opt_errback();\n        }\n    }, 10000);\n    window[key] = function (data) {\n        clearTimeout(timer);\n        cleanup();\n        callback(data);\n    };\n    document.getElementsByTagName('head')[0].appendChild(script);\n}\nvar ResponseError = /** @class */ (function (_super) {\n    __extends(ResponseError, _super);\n    /**\n     * @param {XMLHttpRequest} response The XHR object.\n     */\n    function ResponseError(response) {\n        var _this = this;\n        var message = 'Unexpected response status: ' + response.status;\n        _this = _super.call(this, message) || this;\n        /**\n         * @type {string}\n         */\n        _this.name = 'ResponseError';\n        /**\n         * @type {XMLHttpRequest}\n         */\n        _this.response = response;\n        return _this;\n    }\n    return ResponseError;\n}(Error));\nexport { ResponseError };\nvar ClientError = /** @class */ (function (_super) {\n    __extends(ClientError, _super);\n    /**\n     * @param {XMLHttpRequest} client The XHR object.\n     */\n    function ClientError(client) {\n        var _this = _super.call(this, 'Failed to issue request') || this;\n        /**\n         * @type {string}\n         */\n        _this.name = 'ClientError';\n        /**\n         * @type {XMLHttpRequest}\n         */\n        _this.client = client;\n        return _this;\n    }\n    return ClientError;\n}(Error));\nexport { ClientError };\n/**\n * @param {string} url The URL.\n * @return {Promise<Object>} A promise that resolves to the JSON response.\n */\nexport function getJSON(url) {\n    return new Promise(function (resolve, reject) {\n        /**\n         * @param {ProgressEvent<XMLHttpRequest>} event The load event.\n         */\n        function onLoad(event) {\n            var client = event.target;\n            // status will be 0 for file:// urls\n            if (!client.status || (client.status >= 200 && client.status < 300)) {\n                var data = void 0;\n                try {\n                    data = JSON.parse(client.responseText);\n                }\n                catch (err) {\n                    var message = 'Error parsing response text as JSON: ' + err.message;\n                    reject(new Error(message));\n                    return;\n                }\n                resolve(data);\n                return;\n            }\n            reject(new ResponseError(client));\n        }\n        /**\n         * @param {ProgressEvent<XMLHttpRequest>} event The error event.\n         */\n        function onError(event) {\n            reject(new ClientError(event.target));\n        }\n        var client = new XMLHttpRequest();\n        client.addEventListener('load', onLoad);\n        client.addEventListener('error', onError);\n        client.open('GET', url);\n        client.setRequestHeader('Accept', 'application/json');\n        client.send();\n    });\n}\n/**\n * @param {string} base The base URL.\n * @param {string} url The potentially relative URL.\n * @return {string} The full URL.\n */\nexport function resolveUrl(base, url) {\n    if (url.indexOf('://') >= 0) {\n        return url;\n    }\n    return new URL(url, base).href;\n}\nvar originalXHR;\nexport function overrideXHR(xhr) {\n    if (typeof XMLHttpRequest !== 'undefined') {\n        originalXHR = XMLHttpRequest;\n    }\n    global.XMLHttpRequest = xhr;\n}\nexport function restoreXHR() {\n    global.XMLHttpRequest = originalXHR;\n}\n//# sourceMappingURL=net.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/BaseTile\n */\nimport Layer from './Layer.js';\nimport TileProperty from './TileProperty.js';\nimport { assign } from '../obj.js';\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./Base\").BaseLayerObjectEventTypes|\n *     'change:source'|'change:preload'|'change:useInterimTilesOnError', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../render/EventType\").LayerRenderEventTypes, import(\"../render/Event\").default, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"./Base\").BaseLayerObjectEventTypes|\n *   'change:source'|'change:preload'|'change:useInterimTilesOnError'|import(\"../render/EventType\").LayerRenderEventTypes, Return>} BaseTileLayerOnSignature\n */\n/**\n * @template {import(\"../source/Tile.js\").default} TileSourceType\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {number} [preload=0] Preload. Load low-resolution tiles up to `preload` levels. `0`\n * means no preloading.\n * @property {TileSourceType} [source] Source for this layer.\n * @property {import(\"../PluggableMap.js\").default} [map] Sets the layer as overlay on a map. The map will not manage\n * this layer in its layers collection, and the layer will be rendered on top. This is useful for\n * temporary layers. The standard way to add a layer to a map and have it managed by the map is to\n * use {@link import(\"../PluggableMap.js\").default#addLayer map.addLayer()}.\n * @property {boolean} [useInterimTilesOnError=true] Use interim tiles on error.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @classdesc\n * For layer sources that provide pre-rendered, tiled images in grids that are\n * organized by zoom levels for specific resolutions.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Tile.js\").default} TileSourceType\n * @template {import(\"../renderer/Layer.js\").default} RendererType\n * @extends {Layer<TileSourceType, RendererType>}\n * @api\n */\nvar BaseTileLayer = /** @class */ (function (_super) {\n    __extends(BaseTileLayer, _super);\n    /**\n     * @param {Options<TileSourceType>} [opt_options] Tile layer options.\n     */\n    function BaseTileLayer(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var baseOptions = assign({}, options);\n        delete baseOptions.preload;\n        delete baseOptions.useInterimTilesOnError;\n        _this = _super.call(this, baseOptions) || this;\n        /***\n         * @type {BaseTileLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {BaseTileLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {BaseTileLayerOnSignature<void>}\n         */\n        _this.un;\n        _this.setPreload(options.preload !== undefined ? options.preload : 0);\n        _this.setUseInterimTilesOnError(options.useInterimTilesOnError !== undefined\n            ? options.useInterimTilesOnError\n            : true);\n        return _this;\n    }\n    /**\n     * Return the level as number to which we will preload tiles up to.\n     * @return {number} The level to preload tiles up to.\n     * @observable\n     * @api\n     */\n    BaseTileLayer.prototype.getPreload = function () {\n        return /** @type {number} */ (this.get(TileProperty.PRELOAD));\n    };\n    /**\n     * Set the level as number to which we will preload tiles up to.\n     * @param {number} preload The level to preload tiles up to.\n     * @observable\n     * @api\n     */\n    BaseTileLayer.prototype.setPreload = function (preload) {\n        this.set(TileProperty.PRELOAD, preload);\n    };\n    /**\n     * Whether we use interim tiles on error.\n     * @return {boolean} Use interim tiles on error.\n     * @observable\n     * @api\n     */\n    BaseTileLayer.prototype.getUseInterimTilesOnError = function () {\n        return /** @type {boolean} */ (this.get(TileProperty.USE_INTERIM_TILES_ON_ERROR));\n    };\n    /**\n     * Set whether we use interim tiles on error.\n     * @param {boolean} useInterimTilesOnError Use interim tiles on error.\n     * @observable\n     * @api\n     */\n    BaseTileLayer.prototype.setUseInterimTilesOnError = function (useInterimTilesOnError) {\n        this.set(TileProperty.USE_INTERIM_TILES_ON_ERROR, useInterimTilesOnError);\n    };\n    return BaseTileLayer;\n}(Layer));\nexport default BaseTileLayer;\n//# sourceMappingURL=BaseTile.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Tile\n */\nimport BaseTileLayer from './BaseTile.js';\nimport CanvasTileLayerRenderer from '../renderer/canvas/TileLayer.js';\n/**\n * @classdesc\n * For layer sources that provide pre-rendered, tiled images in grids that are\n * organized by zoom levels for specific resolutions.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Tile.js\").default} TileSourceType\n * @extends BaseTileLayer<TileSourceType, CanvasTileLayerRenderer>\n * @api\n */\nvar TileLayer = /** @class */ (function (_super) {\n    __extends(TileLayer, _super);\n    /**\n     * @param {import(\"./BaseTile.js\").Options<TileSourceType>} [opt_options] Tile layer options.\n     */\n    function TileLayer(opt_options) {\n        return _super.call(this, opt_options) || this;\n    }\n    TileLayer.prototype.createRenderer = function () {\n        return new CanvasTileLayerRenderer(this);\n    };\n    return TileLayer;\n}(BaseTileLayer));\nexport default TileLayer;\n//# sourceMappingURL=Tile.js.map","/**\n * @module ol/webgl/PaletteTexture\n */\nvar PaletteTexture = /** @class */ (function () {\n    /**\n     * @param {string} name The name of the texture.\n     * @param {Uint8Array} data The texture data.\n     */\n    function PaletteTexture(name, data) {\n        this.name = name;\n        this.data = data;\n        /**\n         * @type {WebGLTexture}\n         * @private\n         */\n        this.texture_ = null;\n    }\n    /**\n     * @param {WebGLRenderingContext} gl Rendering context.\n     * @return {WebGLTexture} The texture.\n     */\n    PaletteTexture.prototype.getTexture = function (gl) {\n        if (!this.texture_) {\n            var texture = gl.createTexture();\n            gl.bindTexture(gl.TEXTURE_2D, texture);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n            gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, this.data.length / 4, 1, 0, gl.RGBA, gl.UNSIGNED_BYTE, this.data);\n            this.texture_ = texture;\n        }\n        return this.texture_;\n    };\n    return PaletteTexture;\n}());\nexport default PaletteTexture;\n//# sourceMappingURL=PaletteTexture.js.map","/**\n * @module ol/webgl/TileTexture\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport EventTarget from '../events/Target.js';\nimport EventType from '../events/EventType.js';\nimport ImageTile from '../ImageTile.js';\nimport ReprojTile from '../reproj/Tile.js';\nimport TileState from '../TileState.js';\nimport WebGLArrayBuffer from './Buffer.js';\nimport { ARRAY_BUFFER, STATIC_DRAW } from '../webgl.js';\nimport { toSize } from '../size.js';\n/**\n * @param {WebGLRenderingContext} gl The WebGL context.\n * @param {WebGLTexture} texture The texture.\n * @param {boolean} interpolate Interpolate when resampling.\n */\nfunction bindAndConfigure(gl, texture, interpolate) {\n    var resampleFilter = interpolate ? gl.LINEAR : gl.NEAREST;\n    gl.bindTexture(gl.TEXTURE_2D, texture);\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, resampleFilter);\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, resampleFilter);\n}\n/**\n * @param {WebGLRenderingContext} gl The WebGL context.\n * @param {WebGLTexture} texture The texture.\n * @param {HTMLImageElement|HTMLCanvasElement|HTMLVideoElement} image The image.\n * @param {boolean} interpolate Interpolate when resampling.\n */\nfunction uploadImageTexture(gl, texture, image, interpolate) {\n    bindAndConfigure(gl, texture, interpolate);\n    gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n}\n/**\n * @param {import(\"./Helper.js\").default} helper The WebGL helper.\n * @param {WebGLTexture} texture The texture.\n * @param {import(\"../DataTile.js\").Data} data The pixel data.\n * @param {import(\"../size.js\").Size} size The pixel size.\n * @param {number} bandCount The band count.\n * @param {boolean} interpolate Interpolate when resampling.\n */\nfunction uploadDataTexture(helper, texture, data, size, bandCount, interpolate) {\n    var gl = helper.getGL();\n    bindAndConfigure(gl, texture, interpolate);\n    var bytesPerRow = data.byteLength / size[1];\n    var unpackAlignment = 1;\n    if (bytesPerRow % 8 === 0) {\n        unpackAlignment = 8;\n    }\n    else if (bytesPerRow % 4 === 0) {\n        unpackAlignment = 4;\n    }\n    else if (bytesPerRow % 2 === 0) {\n        unpackAlignment = 2;\n    }\n    var format;\n    switch (bandCount) {\n        case 1: {\n            format = gl.LUMINANCE;\n            break;\n        }\n        case 2: {\n            format = gl.LUMINANCE_ALPHA;\n            break;\n        }\n        case 3: {\n            format = gl.RGB;\n            break;\n        }\n        case 4: {\n            format = gl.RGBA;\n            break;\n        }\n        default: {\n            throw new Error(\"Unsupported number of bands: \" + bandCount);\n        }\n    }\n    var textureType;\n    if (data instanceof Float32Array) {\n        textureType = gl.FLOAT;\n        helper.getExtension('OES_texture_float');\n        helper.getExtension('OES_texture_float_linear');\n    }\n    else {\n        textureType = gl.UNSIGNED_BYTE;\n    }\n    var oldUnpackAlignment = gl.getParameter(gl.UNPACK_ALIGNMENT);\n    gl.pixelStorei(gl.UNPACK_ALIGNMENT, unpackAlignment);\n    gl.texImage2D(gl.TEXTURE_2D, 0, format, size[0], size[1], 0, format, textureType, data);\n    gl.pixelStorei(gl.UNPACK_ALIGNMENT, oldUnpackAlignment);\n}\n/**\n * @typedef {import(\"../DataTile.js\").default|ImageTile|ReprojTile} TileType\n */\nvar TileTexture = /** @class */ (function (_super) {\n    __extends(TileTexture, _super);\n    /**\n     * @param {TileType} tile The tile.\n     * @param {import(\"../tilegrid/TileGrid.js\").default} grid Tile grid.\n     * @param {import(\"../webgl/Helper.js\").default} helper WebGL helper.\n     */\n    function TileTexture(tile, grid, helper) {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {TileType}\n         */\n        _this.tile;\n        /**\n         * @type {Array<WebGLTexture>}\n         */\n        _this.textures = [];\n        _this.handleTileChange_ = _this.handleTileChange_.bind(_this);\n        _this.size = toSize(grid.getTileSize(tile.tileCoord[0]));\n        _this.bandCount = NaN;\n        _this.helper_ = helper;\n        var coords = new WebGLArrayBuffer(ARRAY_BUFFER, STATIC_DRAW);\n        coords.fromArray([\n            0,\n            1,\n            1,\n            1,\n            1,\n            0,\n            0,\n            0,\n        ]);\n        helper.flushBufferData(coords);\n        _this.coords = coords;\n        _this.setTile(tile);\n        return _this;\n    }\n    /**\n     * @param {TileType} tile Tile.\n     */\n    TileTexture.prototype.setTile = function (tile) {\n        if (tile !== this.tile) {\n            if (this.tile) {\n                this.tile.removeEventListener(EventType.CHANGE, this.handleTileChange_);\n            }\n            this.tile = tile;\n            this.textures.length = 0;\n            this.loaded = tile.getState() === TileState.LOADED;\n            if (this.loaded) {\n                this.uploadTile_();\n            }\n            else {\n                tile.addEventListener(EventType.CHANGE, this.handleTileChange_);\n            }\n        }\n    };\n    TileTexture.prototype.uploadTile_ = function () {\n        var helper = this.helper_;\n        var gl = helper.getGL();\n        var tile = this.tile;\n        if (tile instanceof ImageTile || tile instanceof ReprojTile) {\n            var texture = gl.createTexture();\n            this.textures.push(texture);\n            this.bandCount = 4;\n            uploadImageTexture(gl, texture, tile.getImage(), tile.interpolate);\n            return;\n        }\n        var data = tile.getData();\n        var isFloat = data instanceof Float32Array;\n        var pixelCount = this.size[0] * this.size[1];\n        var DataType = isFloat ? Float32Array : Uint8Array;\n        var bytesPerElement = DataType.BYTES_PER_ELEMENT;\n        var bytesPerRow = data.byteLength / this.size[1];\n        this.bandCount = Math.floor(bytesPerRow / bytesPerElement / this.size[0]);\n        var textureCount = Math.ceil(this.bandCount / 4);\n        if (textureCount === 1) {\n            var texture = gl.createTexture();\n            this.textures.push(texture);\n            uploadDataTexture(helper, texture, data, this.size, this.bandCount, tile.interpolate);\n            return;\n        }\n        var textureDataArrays = new Array(textureCount);\n        for (var textureIndex = 0; textureIndex < textureCount; ++textureIndex) {\n            var texture = gl.createTexture();\n            this.textures.push(texture);\n            var bandCount = textureIndex < textureCount - 1 ? 4 : this.bandCount % 4;\n            textureDataArrays[textureIndex] = new DataType(pixelCount * bandCount);\n        }\n        var dataIndex = 0;\n        var rowOffset = 0;\n        var colCount = this.size[0] * this.bandCount;\n        for (var rowIndex = 0; rowIndex < this.size[1]; ++rowIndex) {\n            for (var colIndex = 0; colIndex < colCount; ++colIndex) {\n                var dataValue = data[rowOffset + colIndex];\n                var pixelIndex = Math.floor(dataIndex / this.bandCount);\n                var bandIndex = colIndex % this.bandCount;\n                var textureIndex = Math.floor(bandIndex / 4);\n                var textureData = textureDataArrays[textureIndex];\n                var bandCount = textureData.length / pixelCount;\n                var textureBandIndex = bandIndex % 4;\n                textureData[pixelIndex * bandCount + textureBandIndex] = dataValue;\n                ++dataIndex;\n            }\n            rowOffset += bytesPerRow / bytesPerElement;\n        }\n        for (var textureIndex = 0; textureIndex < textureCount; ++textureIndex) {\n            var texture = this.textures[textureIndex];\n            var textureData = textureDataArrays[textureIndex];\n            var bandCount = textureData.length / pixelCount;\n            uploadDataTexture(helper, texture, textureData, this.size, bandCount, tile.interpolate);\n        }\n    };\n    TileTexture.prototype.handleTileChange_ = function () {\n        if (this.tile.getState() === TileState.LOADED) {\n            this.loaded = true;\n            this.uploadTile_();\n            this.dispatchEvent(EventType.CHANGE);\n        }\n    };\n    TileTexture.prototype.disposeInternal = function () {\n        var gl = this.helper_.getGL();\n        this.helper_.deleteBuffer(this.coords);\n        for (var i = 0; i < this.textures.length; ++i) {\n            gl.deleteTexture(this.textures[i]);\n        }\n        this.tile.removeEventListener(EventType.CHANGE, this.handleTileChange_);\n    };\n    return TileTexture;\n}(EventTarget));\nexport default TileTexture;\n//# sourceMappingURL=TileTexture.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/webgl/TileLayer\n */\nimport LRUCache from '../../structs/LRUCache.js';\nimport State from '../../source/State.js';\nimport TileRange from '../../TileRange.js';\nimport TileState from '../../TileState.js';\nimport TileTexture from '../../webgl/TileTexture.js';\nimport WebGLArrayBuffer from '../../webgl/Buffer.js';\nimport WebGLLayerRenderer from './Layer.js';\nimport { AttributeType } from '../../webgl/Helper.js';\nimport { ELEMENT_ARRAY_BUFFER, STATIC_DRAW } from '../../webgl.js';\nimport { compose as composeTransform, create as createTransform, } from '../../transform.js';\nimport { create as createMat4, fromTransform as mat4FromTransform, } from '../../vec/mat4.js';\nimport { createOrUpdate as createTileCoord, getKeyZXY, getKey as getTileCoordKey, } from '../../tilecoord.js';\nimport { fromUserExtent } from '../../proj.js';\nimport { getIntersection } from '../../extent.js';\nimport { getUid } from '../../util.js';\nimport { isEmpty } from '../../extent.js';\nimport { numberSafeCompareFunction } from '../../array.js';\nimport { toSize } from '../../size.js';\nexport var Uniforms = {\n    TILE_TEXTURE_ARRAY: 'u_tileTextures',\n    TILE_TRANSFORM: 'u_tileTransform',\n    TRANSITION_ALPHA: 'u_transitionAlpha',\n    DEPTH: 'u_depth',\n    TEXTURE_PIXEL_WIDTH: 'u_texturePixelWidth',\n    TEXTURE_PIXEL_HEIGHT: 'u_texturePixelHeight',\n    RESOLUTION: 'u_resolution',\n    ZOOM: 'u_zoom',\n};\nexport var Attributes = {\n    TEXTURE_COORD: 'a_textureCoord',\n};\n/**\n * @type {Array<import('../../webgl/Helper.js').AttributeDescription>}\n */\nvar attributeDescriptions = [\n    {\n        name: Attributes.TEXTURE_COORD,\n        size: 2,\n        type: AttributeType.FLOAT,\n    },\n];\n/**\n * @type {Object<string, boolean>}\n */\nvar empty = {};\n/**\n * Transform a zoom level into a depth value ranging from -1 to 1.\n * @param {number} z A zoom level.\n * @return {number} A depth value.\n */\nfunction depthForZ(z) {\n    return 2 * (1 - 1 / (z + 1)) - 1;\n}\n/**\n * Add a tile texture to the lookup.\n * @param {Object<number, Array<import(\"../../webgl/TileTexture.js\").default>>} tileTexturesByZ Lookup of\n * tile textures by zoom level.\n * @param {import(\"../../webgl/TileTexture.js\").default} tileTexture A tile texture.\n * @param {number} z The zoom level.\n */\nfunction addTileTextureToLookup(tileTexturesByZ, tileTexture, z) {\n    if (!(z in tileTexturesByZ)) {\n        tileTexturesByZ[z] = [];\n    }\n    tileTexturesByZ[z].push(tileTexture);\n}\n/**\n * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n * @param {import(\"../../extent.js\").Extent} extent The frame extent.\n * @return {import(\"../../extent.js\").Extent} Frame extent intersected with layer extents.\n */\nfunction getRenderExtent(frameState, extent) {\n    var layerState = frameState.layerStatesArray[frameState.layerIndex];\n    if (layerState.extent) {\n        extent = getIntersection(extent, fromUserExtent(layerState.extent, frameState.viewState.projection));\n    }\n    var source = \n    /** {import(\"../../source/Tile.js\").default} */ layerState.layer.getSource();\n    if (!source.getWrapX()) {\n        var gridExtent = source.tileGrid.getExtent();\n        if (gridExtent) {\n            extent = getIntersection(extent, gridExtent);\n        }\n    }\n    return extent;\n}\n/**\n * @typedef {Object} Options\n * @property {string} vertexShader Vertex shader source.\n * @property {string} fragmentShader Fragment shader source.\n * @property {Object<string, import(\"../../webgl/Helper\").UniformValue>} [uniforms] Additional uniforms\n * made available to shaders.\n * @property {Array<import(\"../../webgl/PaletteTexture.js\").default>} [paletteTextures] Palette textures.\n * @property {number} [cacheSize=512] The texture cache size.\n */\n/**\n * @typedef {import(\"../../layer/WebGLTile.js\").default} LayerType\n */\n/**\n * @classdesc\n * WebGL renderer for tile layers.\n * @extends {WebGLLayerRenderer<LayerType>}\n * @api\n */\nvar WebGLTileLayerRenderer = /** @class */ (function (_super) {\n    __extends(WebGLTileLayerRenderer, _super);\n    /**\n     * @param {LayerType} tileLayer Tile layer.\n     * @param {Options} options Options.\n     */\n    function WebGLTileLayerRenderer(tileLayer, options) {\n        var _this = _super.call(this, tileLayer, {\n            uniforms: options.uniforms,\n        }) || this;\n        /**\n         * This transform converts tile i, j coordinates to screen coordinates.\n         * @type {import(\"../../transform.js\").Transform}\n         * @private\n         */\n        _this.tileTransform_ = createTransform();\n        /**\n         * @type {Array<number>}\n         * @private\n         */\n        _this.tempMat4_ = createMat4();\n        /**\n         * @type {import(\"../../TileRange.js\").default}\n         * @private\n         */\n        _this.tempTileRange_ = new TileRange(0, 0, 0, 0);\n        /**\n         * @type {import(\"../../tilecoord.js\").TileCoord}\n         * @private\n         */\n        _this.tempTileCoord_ = createTileCoord(0, 0, 0);\n        /**\n         * @type {import(\"../../size.js\").Size}\n         * @private\n         */\n        _this.tempSize_ = [0, 0];\n        /**\n         * @type {WebGLProgram}\n         * @private\n         */\n        _this.program_;\n        /**\n         * @private\n         */\n        _this.vertexShader_ = options.vertexShader;\n        /**\n         * @private\n         */\n        _this.fragmentShader_ = options.fragmentShader;\n        /**\n         * Tiles are rendered as a quad with the following structure:\n         *\n         *  [P3]---------[P2]\n         *   |`           |\n         *   |  `     B   |\n         *   |    `       |\n         *   |      `     |\n         *   |   A    `   |\n         *   |          ` |\n         *  [P0]---------[P1]\n         *\n         * Triangle A: P0, P1, P3\n         * Triangle B: P1, P2, P3\n         *\n         * @private\n         */\n        _this.indices_ = new WebGLArrayBuffer(ELEMENT_ARRAY_BUFFER, STATIC_DRAW);\n        _this.indices_.fromArray([0, 1, 3, 1, 2, 3]);\n        var cacheSize = options.cacheSize !== undefined ? options.cacheSize : 512;\n        /**\n         * @type {import(\"../../structs/LRUCache.js\").default<import(\"../../webgl/TileTexture.js\").default>}\n         * @private\n         */\n        _this.tileTextureCache_ = new LRUCache(cacheSize);\n        /**\n         * @type {Array<import(\"../../webgl/PaletteTexture.js\").default>}\n         * @private\n         */\n        _this.paletteTextures_ = options.paletteTextures || [];\n        return _this;\n    }\n    /**\n     * @param {Options} options Options.\n     */\n    WebGLTileLayerRenderer.prototype.reset = function (options) {\n        _super.prototype.reset.call(this, {\n            uniforms: options.uniforms,\n        });\n        this.vertexShader_ = options.vertexShader;\n        this.fragmentShader_ = options.fragmentShader;\n        this.paletteTextures_ = options.paletteTextures || [];\n        if (this.helper) {\n            this.program_ = this.helper.getProgram(this.fragmentShader_, this.vertexShader_);\n        }\n    };\n    WebGLTileLayerRenderer.prototype.afterHelperCreated = function () {\n        this.program_ = this.helper.getProgram(this.fragmentShader_, this.vertexShader_);\n        this.helper.flushBufferData(this.indices_);\n    };\n    /**\n     * @param {import(\"../../webgl/TileTexture\").TileType} tile Tile.\n     * @return {boolean} Tile is drawable.\n     * @private\n     */\n    WebGLTileLayerRenderer.prototype.isDrawableTile_ = function (tile) {\n        var tileLayer = this.getLayer();\n        var tileState = tile.getState();\n        var useInterimTilesOnError = tileLayer.getUseInterimTilesOnError();\n        return (tileState == TileState.LOADED ||\n            tileState == TileState.EMPTY ||\n            (tileState == TileState.ERROR && !useInterimTilesOnError));\n    };\n    /**\n     * Determine whether renderFrame should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    WebGLTileLayerRenderer.prototype.prepareFrameInternal = function (frameState) {\n        var layer = this.getLayer();\n        var source = layer.getSource();\n        if (!source) {\n            return false;\n        }\n        if (isEmpty(getRenderExtent(frameState, frameState.extent))) {\n            return false;\n        }\n        return source.getState() === State.READY;\n    };\n    /**\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"../../extent.js\").Extent} extent The extent to be rendered.\n     * @param {number} z The zoom level.\n     * @param {Object<number, Array<TileTexture>>} tileTexturesByZ The zoom level.\n     */\n    WebGLTileLayerRenderer.prototype.enqueueTiles = function (frameState, extent, z, tileTexturesByZ) {\n        var viewState = frameState.viewState;\n        var tileLayer = this.getLayer();\n        var tileSource = tileLayer.getSource();\n        var tileGrid = tileSource.getTileGridForProjection(viewState.projection);\n        var tileTextureCache = this.tileTextureCache_;\n        var tileRange = tileGrid.getTileRangeForExtentAndZ(extent, z, this.tempTileRange_);\n        var tileSourceKey = getUid(tileSource);\n        if (!(tileSourceKey in frameState.wantedTiles)) {\n            frameState.wantedTiles[tileSourceKey] = {};\n        }\n        var wantedTiles = frameState.wantedTiles[tileSourceKey];\n        var tileResolution = tileGrid.getResolution(z);\n        for (var x = tileRange.minX; x <= tileRange.maxX; ++x) {\n            for (var y = tileRange.minY; y <= tileRange.maxY; ++y) {\n                var tileCoord = createTileCoord(z, x, y, this.tempTileCoord_);\n                var tileCoordKey = getTileCoordKey(tileCoord);\n                /**\n                 * @type {TileTexture}\n                 */\n                var tileTexture = void 0;\n                /**\n                 * @type {import(\"../../webgl/TileTexture\").TileType}\n                 */\n                var tile = void 0;\n                if (tileTextureCache.containsKey(tileCoordKey)) {\n                    tileTexture = tileTextureCache.get(tileCoordKey);\n                    tile = tileTexture.tile;\n                }\n                if (!tileTexture || tileTexture.tile.key !== tileSource.getKey()) {\n                    tile = tileSource.getTile(z, x, y, frameState.pixelRatio, viewState.projection);\n                    if (!tileTexture) {\n                        tileTexture = new TileTexture(tile, tileGrid, this.helper);\n                        tileTextureCache.set(tileCoordKey, tileTexture);\n                    }\n                    else {\n                        if (this.isDrawableTile_(tile)) {\n                            tileTexture.setTile(tile);\n                        }\n                        else {\n                            var interimTile = \n                            /** @type {import(\"../../webgl/TileTexture\").TileType} */ (tile.getInterimTile());\n                            tileTexture.setTile(interimTile);\n                        }\n                    }\n                }\n                addTileTextureToLookup(tileTexturesByZ, tileTexture, z);\n                var tileQueueKey = tile.getKey();\n                wantedTiles[tileQueueKey] = true;\n                if (tile.getState() === TileState.IDLE) {\n                    if (!frameState.tileQueue.isKeyQueued(tileQueueKey)) {\n                        frameState.tileQueue.enqueue([\n                            tile,\n                            tileSourceKey,\n                            tileGrid.getTileCoordCenter(tileCoord),\n                            tileResolution,\n                        ]);\n                    }\n                }\n            }\n        }\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {HTMLElement} The rendered element.\n     */\n    WebGLTileLayerRenderer.prototype.renderFrame = function (frameState) {\n        var gl = this.helper.getGL();\n        this.preRender(gl, frameState);\n        var viewState = frameState.viewState;\n        var tileLayer = this.getLayer();\n        var tileSource = tileLayer.getSource();\n        var tileGrid = tileSource.getTileGridForProjection(viewState.projection);\n        var extent = getRenderExtent(frameState, frameState.extent);\n        var z = tileGrid.getZForResolution(viewState.resolution, tileSource.zDirection);\n        /**\n         * @type {Object<number, Array<import(\"../../webgl/TileTexture.js\").default>>}\n         */\n        var tileTexturesByZ = {};\n        if (frameState.nextExtent) {\n            var targetZ = tileGrid.getZForResolution(viewState.nextResolution, tileSource.zDirection);\n            var nextExtent = getRenderExtent(frameState, frameState.nextExtent);\n            this.enqueueTiles(frameState, nextExtent, targetZ, tileTexturesByZ);\n        }\n        this.enqueueTiles(frameState, extent, z, tileTexturesByZ);\n        /**\n         * A lookup of alpha values for tiles at the target rendering resolution\n         * for tiles that are in transition.  If a tile coord key is absent from\n         * this lookup, the tile should be rendered at alpha 1.\n         * @type {Object<string, number>}\n         */\n        var alphaLookup = {};\n        var uid = getUid(this);\n        var time = frameState.time;\n        var blend = false;\n        // look for cached tiles to use if a target tile is not ready\n        var tileTextures = tileTexturesByZ[z];\n        for (var i = 0, ii = tileTextures.length; i < ii; ++i) {\n            var tileTexture = tileTextures[i];\n            var tile = tileTexture.tile;\n            var tileCoord = tile.tileCoord;\n            if (tileTexture.loaded) {\n                var alpha = tile.getAlpha(uid, time);\n                if (alpha === 1) {\n                    // no need to look for alt tiles\n                    tile.endTransition(uid);\n                    continue;\n                }\n                blend = true;\n                var tileCoordKey = getTileCoordKey(tileCoord);\n                alphaLookup[tileCoordKey] = alpha;\n            }\n            // first look for child tiles (at z + 1)\n            var coveredByChildren = this.findAltTiles_(tileGrid, tileCoord, z + 1, tileTexturesByZ);\n            if (coveredByChildren) {\n                continue;\n            }\n            // next look for parent tiles\n            var minZoom = tileGrid.getMinZoom();\n            for (var parentZ = z - 1; parentZ >= minZoom; --parentZ) {\n                var coveredByParent = this.findAltTiles_(tileGrid, tileCoord, parentZ, tileTexturesByZ);\n                if (coveredByParent) {\n                    break;\n                }\n            }\n        }\n        this.helper.useProgram(this.program_);\n        this.helper.prepareDraw(frameState, !blend);\n        var zs = Object.keys(tileTexturesByZ)\n            .map(Number)\n            .sort(numberSafeCompareFunction);\n        var centerX = viewState.center[0];\n        var centerY = viewState.center[1];\n        for (var j = 0, jj = zs.length; j < jj; ++j) {\n            var tileZ = zs[j];\n            var tileResolution = tileGrid.getResolution(tileZ);\n            var tileSize = toSize(tileGrid.getTileSize(tileZ), this.tempSize_);\n            var tileOrigin = tileGrid.getOrigin(tileZ);\n            var centerI = (centerX - tileOrigin[0]) / (tileSize[0] * tileResolution);\n            var centerJ = (tileOrigin[1] - centerY) / (tileSize[1] * tileResolution);\n            var tileScale = viewState.resolution / tileResolution;\n            var depth = depthForZ(tileZ);\n            var tileTextures_1 = tileTexturesByZ[tileZ];\n            for (var i = 0, ii = tileTextures_1.length; i < ii; ++i) {\n                var tileTexture = tileTextures_1[i];\n                if (!tileTexture.loaded) {\n                    continue;\n                }\n                var tile = tileTexture.tile;\n                var tileCoord = tile.tileCoord;\n                var tileCoordKey = getTileCoordKey(tileCoord);\n                var tileCenterI = tileCoord[1];\n                var tileCenterJ = tileCoord[2];\n                composeTransform(this.tileTransform_, 0, 0, 2 / ((frameState.size[0] * tileScale) / tileSize[0]), -2 / ((frameState.size[1] * tileScale) / tileSize[1]), viewState.rotation, -(centerI - tileCenterI), -(centerJ - tileCenterJ));\n                this.helper.setUniformMatrixValue(Uniforms.TILE_TRANSFORM, mat4FromTransform(this.tempMat4_, this.tileTransform_));\n                this.helper.bindBuffer(tileTexture.coords);\n                this.helper.bindBuffer(this.indices_);\n                this.helper.enableAttributes(attributeDescriptions);\n                var textureSlot = 0;\n                while (textureSlot < tileTexture.textures.length) {\n                    var textureProperty = 'TEXTURE' + textureSlot;\n                    var uniformName = Uniforms.TILE_TEXTURE_ARRAY + \"[\" + textureSlot + \"]\";\n                    gl.activeTexture(gl[textureProperty]);\n                    gl.bindTexture(gl.TEXTURE_2D, tileTexture.textures[textureSlot]);\n                    gl.uniform1i(this.helper.getUniformLocation(uniformName), textureSlot);\n                    ++textureSlot;\n                }\n                for (var paletteIndex = 0; paletteIndex < this.paletteTextures_.length; ++paletteIndex) {\n                    var paletteTexture = this.paletteTextures_[paletteIndex];\n                    gl.activeTexture(gl['TEXTURE' + textureSlot]);\n                    var texture = paletteTexture.getTexture(gl);\n                    gl.bindTexture(gl.TEXTURE_2D, texture);\n                    gl.uniform1i(this.helper.getUniformLocation(paletteTexture.name), textureSlot);\n                    ++textureSlot;\n                }\n                var alpha = tileCoordKey in alphaLookup ? alphaLookup[tileCoordKey] : 1;\n                if (alpha < 1) {\n                    frameState.animate = true;\n                }\n                this.helper.setUniformFloatValue(Uniforms.TRANSITION_ALPHA, alpha);\n                this.helper.setUniformFloatValue(Uniforms.DEPTH, depth);\n                this.helper.setUniformFloatValue(Uniforms.TEXTURE_PIXEL_WIDTH, tileSize[0]);\n                this.helper.setUniformFloatValue(Uniforms.TEXTURE_PIXEL_HEIGHT, tileSize[1]);\n                this.helper.setUniformFloatValue(Uniforms.RESOLUTION, viewState.resolution);\n                this.helper.setUniformFloatValue(Uniforms.ZOOM, viewState.zoom);\n                this.helper.drawElements(0, this.indices_.getSize());\n            }\n        }\n        this.helper.finalizeDraw(frameState, this.dispatchPreComposeEvent, this.dispatchPostComposeEvent);\n        var canvas = this.helper.getCanvas();\n        var tileTextureCache = this.tileTextureCache_;\n        while (tileTextureCache.canExpireCache()) {\n            var tileTexture = tileTextureCache.pop();\n            tileTexture.dispose();\n        }\n        // TODO: let the renderers manage their own cache instead of managing the source cache\n        /**\n         * Here we unconditionally expire the source cache since the renderer maintains\n         * its own cache.\n         * @param {import(\"../../PluggableMap.js\").default} map Map.\n         * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n         */\n        var postRenderFunction = function (map, frameState) {\n            tileSource.expireCache(frameState.viewState.projection, empty);\n        };\n        frameState.postRenderFunctions.push(postRenderFunction);\n        this.postRender(gl, frameState);\n        return canvas;\n    };\n    /**\n     * Look for tiles covering the provided tile coordinate at an alternate\n     * zoom level.  Loaded tiles will be added to the provided tile texture lookup.\n     * @param {import(\"../../tilegrid/TileGrid.js\").default} tileGrid The tile grid.\n     * @param {import(\"../../tilecoord.js\").TileCoord} tileCoord The target tile coordinate.\n     * @param {number} altZ The alternate zoom level.\n     * @param {Object<number, Array<import(\"../../webgl/TileTexture.js\").default>>} tileTexturesByZ Lookup of\n     * tile textures by zoom level.\n     * @return {boolean} The tile coordinate is covered by loaded tiles at the alternate zoom level.\n     * @private\n     */\n    WebGLTileLayerRenderer.prototype.findAltTiles_ = function (tileGrid, tileCoord, altZ, tileTexturesByZ) {\n        var tileRange = tileGrid.getTileRangeForTileCoordAndZ(tileCoord, altZ, this.tempTileRange_);\n        if (!tileRange) {\n            return false;\n        }\n        var covered = true;\n        var tileTextureCache = this.tileTextureCache_;\n        for (var x = tileRange.minX; x <= tileRange.maxX; ++x) {\n            for (var y = tileRange.minY; y <= tileRange.maxY; ++y) {\n                var cacheKey = getKeyZXY(altZ, x, y);\n                var loaded = false;\n                if (tileTextureCache.containsKey(cacheKey)) {\n                    var tileTexture = tileTextureCache.get(cacheKey);\n                    if (tileTexture.loaded) {\n                        addTileTextureToLookup(tileTexturesByZ, tileTexture, altZ);\n                        loaded = true;\n                    }\n                }\n                if (!loaded) {\n                    covered = false;\n                }\n            }\n        }\n        return covered;\n    };\n    /**\n     * Clean up.\n     */\n    WebGLTileLayerRenderer.prototype.disposeInternal = function () {\n        var helper = this.helper;\n        var gl = helper.getGL();\n        helper.deleteBuffer(this.indices_);\n        delete this.indices_;\n        gl.deleteProgram(this.program_);\n        delete this.program_;\n        var tileTextureCache = this.tileTextureCache_;\n        tileTextureCache.forEach(function (tileTexture) {\n            tileTexture.dispose();\n        });\n        tileTextureCache.clear();\n        delete this.tileTextureCache_;\n        _super.prototype.disposeInternal.call(this);\n    };\n    return WebGLTileLayerRenderer;\n}(WebGLLayerRenderer));\n/**\n * @function\n * @return {import(\"../../layer/WebGLTile.js\").default}\n */\nWebGLTileLayerRenderer.prototype.getLayer;\nexport default WebGLTileLayerRenderer;\n//# sourceMappingURL=TileLayer.js.map","/**\n * Operators and utilities used for style expressions\n * @module ol/style/expressions\n */\nimport PaletteTexture from '../webgl/PaletteTexture.js';\nimport { Uniforms } from '../renderer/webgl/TileLayer.js';\nimport { asArray, fromString, isStringColor } from '../color.js';\nimport { log2 } from '../math.js';\n/**\n * Base type used for literal style parameters; can be a number literal or the output of an operator,\n * which in turns takes {@link import(\"./expressions.js\").ExpressionValue} arguments.\n *\n * The following operators can be used:\n *\n * * Reading operators:\n *   * `['band', bandIndex, xOffset, yOffset]` For tile layers only. Fetches pixel values from band\n *     `bandIndex` of the source's data. The first `bandIndex` of the source data is `1`. Fetched values\n *     are in the 0..1 range. {@link import(\"../source/TileImage.js\").default} sources have 4 bands: red,\n *     green, blue and alpha. {@link import(\"../source/DataTile.js\").default} sources can have any number\n *     of bands, depending on the underlying data source and\n *     {@link import(\"../source/GeoTIFF.js\").Options configuration}. `xOffset` and `yOffset` are optional\n *     and allow specifying pixel offsets for x and y. This is used for sampling data from neighboring pixels.\n *   * `['get', 'attributeName']` fetches a feature attribute (it will be prefixed by `a_` in the shader)\n *     Note: those will be taken from the attributes provided to the renderer\n *   * `['resolution']` returns the current resolution\n *   * `['time']` returns the time in seconds since the creation of the layer\n *   * `['var', 'varName']` fetches a value from the style variables, or 0 if undefined\n *   * `['zoom']` returns the current zoom level\n *\n * * Math operators:\n *   * `['*', value1, value2]` multiplies `value1` by `value2`\n *   * `['/', value1, value2]` divides `value1` by `value2`\n *   * `['+', value1, value2]` adds `value1` and `value2`\n *   * `['-', value1, value2]` subtracts `value2` from `value1`\n *   * `['clamp', value, low, high]` clamps `value` between `low` and `high`\n *   * `['%', value1, value2]` returns the result of `value1 % value2` (modulo)\n *   * `['^', value1, value2]` returns the value of `value1` raised to the `value2` power\n *   * `['abs', value1]` returns the absolute value of `value1`\n *   * `['sin', value1]` returns the sine of `value1`\n *   * `['cos', value1]` returns the cosine of `value1`\n *   * `['atan', value1, value2]` returns `atan2(value1, value2)`. If `value2` is not provided, returns `atan(value1)`\n *\n * * Transform operators:\n *   * `['case', condition1, output1, ...conditionN, outputN, fallback]` selects the first output whose corresponding\n *     condition evaluates to `true`. If no match is found, returns the `fallback` value.\n *     All conditions should be `boolean`, output and fallback can be any kind.\n *   * `['match', input, match1, output1, ...matchN, outputN, fallback]` compares the `input` value against all\n *     provided `matchX` values, returning the output associated with the first valid match. If no match is found,\n *     returns the `fallback` value.\n *     `input` and `matchX` values must all be of the same type, and can be `number` or `string`. `outputX` and\n *     `fallback` values must be of the same type, and can be of any kind.\n *   * `['interpolate', interpolation, input, stop1, output1, ...stopN, outputN]` returns a value by interpolating between\n *     pairs of inputs and outputs; `interpolation` can either be `['linear']` or `['exponential', base]` where `base` is\n *     the rate of increase from stop A to stop B (i.e. power to which the interpolation ratio is raised); a value\n *     of 1 is equivalent to `['linear']`.\n *     `input` and `stopX` values must all be of type `number`. `outputX` values can be `number` or `color` values.\n *     Note: `input` will be clamped between `stop1` and `stopN`, meaning that all output values will be comprised\n *     between `output1` and `outputN`.\n *\n * * Logical operators:\n *   * `['<', value1, value2]` returns `true` if `value1` is strictly lower than `value2`, or `false` otherwise.\n *   * `['<=', value1, value2]` returns `true` if `value1` is lower than or equals `value2`, or `false` otherwise.\n *   * `['>', value1, value2]` returns `true` if `value1` is strictly greater than `value2`, or `false` otherwise.\n *   * `['>=', value1, value2]` returns `true` if `value1` is greater than or equals `value2`, or `false` otherwise.\n *   * `['==', value1, value2]` returns `true` if `value1` equals `value2`, or `false` otherwise.\n *   * `['!=', value1, value2]` returns `true` if `value1` does not equal `value2`, or `false` otherwise.\n *   * `['!', value1]` returns `false` if `value1` is `true` or greater than `0`, or `true` otherwise.\n *   * `['all', value1, value2, ...]` returns `true` if all the inputs are `true`, `false` otherwise.\n *   * `['any', value1, value2, ...]` returns `true` if any of the inputs are `true`, `false` otherwise.\n *   * `['between', value1, value2, value3]` returns `true` if `value1` is contained between `value2` and `value3`\n *     (inclusively), or `false` otherwise.\n *\n * * Conversion operators:\n *   * `['array', value1, ...valueN]` creates a numerical array from `number` values; please note that the amount of\n *     values can currently only be 2, 3 or 4.\n *   * `['color', red, green, blue, alpha]` creates a `color` value from `number` values; the `alpha` parameter is\n *     optional; if not specified, it will be set to 1.\n *     Note: `red`, `green` and `blue` components must be values between 0 and 255; `alpha` between 0 and 1.\n *   * `['palette', index, colors]` picks a `color` value from an array of colors using the given index; the `index`\n *     expression must evaluate to a number; the items in the `colors` array must be strings with hex colors\n *     (e.g. `'#86A136'`), colors using the rgba[a] functional notation (e.g. `'rgb(134, 161, 54)'` or `'rgba(134, 161, 54, 1)'`),\n *     named colors (e.g. `'red'`), or array literals with 3 ([r, g, b]) or 4 ([r, g, b, a]) values (with r, g, and b\n *     in the 0-255 range and a in the 0-1 range).\n *\n * Values can either be literals or another operator, as they will be evaluated recursively.\n * Literal values can be of the following types:\n * * `boolean`\n * * `number`\n * * `string`\n * * {@link module:ol/color~Color}\n *\n * @typedef {Array<*>|import(\"../color.js\").Color|string|number|boolean} ExpressionValue\n * @api\n */\n/**\n * Possible inferred types from a given value or expression.\n * Note: these are binary flags.\n * @enum {number}\n */\nexport var ValueTypes = {\n    NUMBER: 1,\n    STRING: 2,\n    COLOR: 4,\n    BOOLEAN: 8,\n    NUMBER_ARRAY: 16,\n    ANY: 31,\n    NONE: 0,\n};\n/**\n * An operator declaration must contain two methods: `getReturnType` which returns a type based on\n * the operator arguments, and `toGlsl` which returns a GLSL-compatible string.\n * Note: both methods can process arguments recursively.\n * @typedef {Object} Operator\n * @property {function(Array<ExpressionValue>): ValueTypes|number} getReturnType Returns one or several types\n * @property {function(ParsingContext, Array<ExpressionValue>, ValueTypes=): string} toGlsl Returns a GLSL-compatible string\n * Note: takes in an optional type hint as 3rd parameter\n */\n/**\n * Operator declarations\n * @type {Object<string, Operator>}\n */\nexport var Operators = {};\n/**\n * Returns the possible types for a given value (each type being a binary flag)\n * To test a value use e.g. `getValueType(v) & ValueTypes.BOOLEAN`\n * @param {ExpressionValue} value Value\n * @return {ValueTypes|number} Type or types inferred from the value\n */\nexport function getValueType(value) {\n    if (typeof value === 'number') {\n        return ValueTypes.NUMBER;\n    }\n    if (typeof value === 'boolean') {\n        return ValueTypes.BOOLEAN;\n    }\n    if (typeof value === 'string') {\n        if (isStringColor(value)) {\n            return ValueTypes.COLOR | ValueTypes.STRING;\n        }\n        return ValueTypes.STRING;\n    }\n    if (!Array.isArray(value)) {\n        throw new Error(\"Unhandled value type: \" + JSON.stringify(value));\n    }\n    var valueArr = /** @type {Array<*>} */ (value);\n    var onlyNumbers = valueArr.every(function (v) {\n        return typeof v === 'number';\n    });\n    if (onlyNumbers) {\n        if (valueArr.length === 3 || valueArr.length === 4) {\n            return ValueTypes.COLOR | ValueTypes.NUMBER_ARRAY;\n        }\n        return ValueTypes.NUMBER_ARRAY;\n    }\n    if (typeof valueArr[0] !== 'string') {\n        throw new Error(\"Expected an expression operator but received: \" + JSON.stringify(valueArr));\n    }\n    var operator = Operators[valueArr[0]];\n    if (operator === undefined) {\n        throw new Error(\"Unrecognized expression operator: \" + JSON.stringify(valueArr));\n    }\n    return operator.getReturnType(valueArr.slice(1));\n}\n/**\n * Checks if only one value type is enabled in the input number.\n * @param {ValueTypes|number} valueType Number containing value type binary flags\n * @return {boolean} True if only one type flag is enabled, false if zero or multiple\n */\nexport function isTypeUnique(valueType) {\n    return log2(valueType) % 1 === 0;\n}\n/**\n * Context available during the parsing of an expression.\n * @typedef {Object} ParsingContext\n * @property {boolean} [inFragmentShader] If false, means the expression output should be made for a vertex shader\n * @property {Array<string>} variables List of variables used in the expression; contains **unprefixed names**\n * @property {Array<string>} attributes List of attributes used in the expression; contains **unprefixed names**\n * @property {Object<string, number>} stringLiteralsMap This object maps all encountered string values to a number\n * @property {Object<string, string>} functions Lookup of functions used by the style.\n * @property {number} [bandCount] Number of bands per pixel.\n * @property {Array<PaletteTexture>} [paletteTextures] List of palettes used by the style.\n */\n/**\n * Will return the number as a float with a dot separator, which is required by GLSL.\n * @param {number} v Numerical value.\n * @return {string} The value as string.\n */\nexport function numberToGlsl(v) {\n    var s = v.toString();\n    return s.indexOf('.') === -1 ? s + '.0' : s;\n}\n/**\n * Will return the number array as a float with a dot separator, concatenated with ', '.\n * @param {Array<number>} array Numerical values array.\n * @return {string} The array as a vector, e. g.: `vec3(1.0, 2.0, 3.0)`.\n */\nexport function arrayToGlsl(array) {\n    if (array.length < 2 || array.length > 4) {\n        throw new Error('`formatArray` can only output `vec2`, `vec3` or `vec4` arrays.');\n    }\n    return \"vec\" + array.length + \"(\" + array.map(numberToGlsl).join(', ') + \")\";\n}\n/**\n * Will normalize and converts to string a `vec4` color array compatible with GLSL.\n * @param {string|import(\"../color.js\").Color} color Color either in string format or [r, g, b, a] array format,\n * with RGB components in the 0..255 range and the alpha component in the 0..1 range.\n * Note that the final array will always have 4 components.\n * @return {string} The color expressed in the `vec4(1.0, 1.0, 1.0, 1.0)` form.\n */\nexport function colorToGlsl(color) {\n    var array = asArray(color).slice();\n    if (array.length < 4) {\n        array.push(1);\n    }\n    return arrayToGlsl(array.map(function (c, i) {\n        return i < 3 ? c / 255 : c;\n    }));\n}\n/**\n * Returns a stable equivalent number for the string literal.\n * @param {ParsingContext} context Parsing context\n * @param {string} string String literal value\n * @return {number} Number equivalent\n */\nexport function getStringNumberEquivalent(context, string) {\n    if (context.stringLiteralsMap[string] === undefined) {\n        context.stringLiteralsMap[string] = Object.keys(context.stringLiteralsMap).length;\n    }\n    return context.stringLiteralsMap[string];\n}\n/**\n * Returns a stable equivalent number for the string literal, for use in shaders. This number is then\n * converted to be a GLSL-compatible string.\n * @param {ParsingContext} context Parsing context\n * @param {string} string String literal value\n * @return {string} GLSL-compatible string containing a number\n */\nexport function stringToGlsl(context, string) {\n    return numberToGlsl(getStringNumberEquivalent(context, string));\n}\n/**\n * Recursively parses a style expression and outputs a GLSL-compatible string. Takes in a parsing context that\n * will be read and modified during the parsing operation.\n * @param {ParsingContext} context Parsing context\n * @param {ExpressionValue} value Value\n * @param {ValueTypes|number} [typeHint] Hint for the expected final type (can be several types combined)\n * @return {string} GLSL-compatible output\n */\nexport function expressionToGlsl(context, value, typeHint) {\n    // operator\n    if (Array.isArray(value) && typeof value[0] === 'string') {\n        var operator = Operators[value[0]];\n        if (operator === undefined) {\n            throw new Error(\"Unrecognized expression operator: \" + JSON.stringify(value));\n        }\n        return operator.toGlsl(context, value.slice(1), typeHint);\n    }\n    var valueType = getValueType(value);\n    if ((valueType & ValueTypes.NUMBER) > 0) {\n        return numberToGlsl(/** @type {number} */ (value));\n    }\n    if ((valueType & ValueTypes.BOOLEAN) > 0) {\n        return value.toString();\n    }\n    if ((valueType & ValueTypes.STRING) > 0 &&\n        (typeHint === undefined || typeHint == ValueTypes.STRING)) {\n        return stringToGlsl(context, value.toString());\n    }\n    if ((valueType & ValueTypes.COLOR) > 0 &&\n        (typeHint === undefined || typeHint == ValueTypes.COLOR)) {\n        return colorToGlsl(/** @type {Array<number> | string} */ (value));\n    }\n    if ((valueType & ValueTypes.NUMBER_ARRAY) > 0) {\n        return arrayToGlsl(/** @type {Array<number>} */ (value));\n    }\n    throw new Error(\"Unexpected expression \" + value + \" (expected type \" + typeHint + \")\");\n}\nfunction assertNumber(value) {\n    if (!(getValueType(value) & ValueTypes.NUMBER)) {\n        throw new Error(\"A numeric value was expected, got \" + JSON.stringify(value) + \" instead\");\n    }\n}\nfunction assertNumbers(values) {\n    for (var i = 0; i < values.length; i++) {\n        assertNumber(values[i]);\n    }\n}\nfunction assertString(value) {\n    if (!(getValueType(value) & ValueTypes.STRING)) {\n        throw new Error(\"A string value was expected, got \" + JSON.stringify(value) + \" instead\");\n    }\n}\nfunction assertBoolean(value) {\n    if (!(getValueType(value) & ValueTypes.BOOLEAN)) {\n        throw new Error(\"A boolean value was expected, got \" + JSON.stringify(value) + \" instead\");\n    }\n}\nfunction assertArgsCount(args, count) {\n    if (args.length !== count) {\n        throw new Error(\"Exactly \" + count + \" arguments were expected, got \" + args.length + \" instead\");\n    }\n}\nfunction assertArgsMinCount(args, count) {\n    if (args.length < count) {\n        throw new Error(\"At least \" + count + \" arguments were expected, got \" + args.length + \" instead\");\n    }\n}\nfunction assertArgsMaxCount(args, count) {\n    if (args.length > count) {\n        throw new Error(\"At most \" + count + \" arguments were expected, got \" + args.length + \" instead\");\n    }\n}\nfunction assertArgsEven(args) {\n    if (args.length % 2 !== 0) {\n        throw new Error(\"An even amount of arguments was expected, got \" + args + \" instead\");\n    }\n}\nfunction assertArgsOdd(args) {\n    if (args.length % 2 === 0) {\n        throw new Error(\"An odd amount of arguments was expected, got \" + args + \" instead\");\n    }\n}\nfunction assertUniqueInferredType(args, types) {\n    if (!isTypeUnique(types)) {\n        throw new Error(\"Could not infer only one type from the following expression: \" + JSON.stringify(args));\n    }\n}\nOperators['get'] = {\n    getReturnType: function (args) {\n        return ValueTypes.ANY;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertString(args[0]);\n        var value = args[0].toString();\n        if (context.attributes.indexOf(value) === -1) {\n            context.attributes.push(value);\n        }\n        var prefix = context.inFragmentShader ? 'v_' : 'a_';\n        return prefix + value;\n    },\n};\n/**\n * Get the uniform name given a variable name.\n * @param {string} variableName The variable name.\n * @return {string} The uniform name.\n */\nexport function uniformNameForVariable(variableName) {\n    return 'u_var_' + variableName;\n}\nOperators['var'] = {\n    getReturnType: function (args) {\n        return ValueTypes.ANY;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertString(args[0]);\n        var value = args[0].toString();\n        if (context.variables.indexOf(value) === -1) {\n            context.variables.push(value);\n        }\n        return uniformNameForVariable(value);\n    },\n};\nexport var PALETTE_TEXTURE_ARRAY = 'u_paletteTextures';\n// ['palette', index, colors]\nOperators['palette'] = {\n    getReturnType: function (args) {\n        return ValueTypes.COLOR;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumber(args[0]);\n        var index = expressionToGlsl(context, args[0]);\n        var colors = args[1];\n        if (!Array.isArray(colors)) {\n            throw new Error('The second argument of palette must be an array');\n        }\n        var numColors = colors.length;\n        var palette = new Uint8Array(numColors * 4);\n        for (var i = 0; i < numColors; i++) {\n            var candidate = colors[i];\n            /**\n             * @type {import('../color.js').Color}\n             */\n            var color = void 0;\n            if (typeof candidate === 'string') {\n                color = fromString(candidate);\n            }\n            else {\n                if (!Array.isArray(candidate)) {\n                    throw new Error('The second argument of palette must be an array of strings or colors');\n                }\n                var length_1 = candidate.length;\n                if (length_1 === 4) {\n                    color = candidate;\n                }\n                else {\n                    if (length_1 !== 3) {\n                        throw new Error(\"Expected palette color to have 3 or 4 values, got \" + length_1);\n                    }\n                    color = [candidate[0], candidate[1], candidate[2], 1];\n                }\n            }\n            var offset = i * 4;\n            palette[offset] = color[0];\n            palette[offset + 1] = color[1];\n            palette[offset + 2] = color[2];\n            palette[offset + 3] = color[3] * 255;\n        }\n        if (!context.paletteTextures) {\n            context.paletteTextures = [];\n        }\n        var paletteName = PALETTE_TEXTURE_ARRAY + \"[\" + context.paletteTextures.length + \"]\";\n        var paletteTexture = new PaletteTexture(paletteName, palette);\n        context.paletteTextures.push(paletteTexture);\n        return \"texture2D(\" + paletteName + \", vec2((\" + index + \" + 0.5) / \" + numColors + \".0, 0.5))\";\n    },\n};\nvar GET_BAND_VALUE_FUNC = 'getBandValue';\nOperators['band'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsMinCount(args, 1);\n        assertArgsMaxCount(args, 3);\n        var band = args[0];\n        if (!(GET_BAND_VALUE_FUNC in context.functions)) {\n            var ifBlocks = '';\n            var bandCount = context.bandCount || 1;\n            for (var i = 0; i < bandCount; i++) {\n                var colorIndex = Math.floor(i / 4);\n                var bandIndex = i % 4;\n                if (bandIndex === bandCount - 1 && bandIndex === 1) {\n                    // LUMINANCE_ALPHA - band 1 assigned to rgb and band 2 assigned to alpha\n                    bandIndex = 3;\n                }\n                var textureName = Uniforms.TILE_TEXTURE_ARRAY + \"[\" + colorIndex + \"]\";\n                ifBlocks += \"\\n          if (band == \" + (i + 1) + \".0) {\\n            return texture2D(\" + textureName + \", v_textureCoord + vec2(dx, dy))[\" + bandIndex + \"];\\n          }\\n        \";\n            }\n            context.functions[GET_BAND_VALUE_FUNC] = \"\\n        float getBandValue(float band, float xOffset, float yOffset) {\\n          float dx = xOffset / \" + Uniforms.TEXTURE_PIXEL_WIDTH + \";\\n          float dy = yOffset / \" + Uniforms.TEXTURE_PIXEL_HEIGHT + \";\\n          \" + ifBlocks + \"\\n        }\\n      \";\n        }\n        var bandExpression = expressionToGlsl(context, band);\n        var xOffsetExpression = expressionToGlsl(context, args[1] || 0);\n        var yOffsetExpression = expressionToGlsl(context, args[2] || 0);\n        return GET_BAND_VALUE_FUNC + \"(\" + bandExpression + \", \" + xOffsetExpression + \", \" + yOffsetExpression + \")\";\n    },\n};\nOperators['time'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 0);\n        return 'u_time';\n    },\n};\nOperators['zoom'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 0);\n        return 'u_zoom';\n    },\n};\nOperators['resolution'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 0);\n        return 'u_resolution';\n    },\n};\nOperators['*'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" * \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['/'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" / \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['+'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" + \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['-'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" - \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['clamp'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 3);\n        assertNumbers(args);\n        var min = expressionToGlsl(context, args[1]);\n        var max = expressionToGlsl(context, args[2]);\n        return \"clamp(\" + expressionToGlsl(context, args[0]) + \", \" + min + \", \" + max + \")\";\n    },\n};\nOperators['%'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"mod(\" + expressionToGlsl(context, args[0]) + \", \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['^'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"pow(\" + expressionToGlsl(context, args[0]) + \", \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['abs'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertNumbers(args);\n        return \"abs(\" + expressionToGlsl(context, args[0]) + \")\";\n    },\n};\nOperators['sin'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertNumbers(args);\n        return \"sin(\" + expressionToGlsl(context, args[0]) + \")\";\n    },\n};\nOperators['cos'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertNumbers(args);\n        return \"cos(\" + expressionToGlsl(context, args[0]) + \")\";\n    },\n};\nOperators['atan'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsMinCount(args, 1);\n        assertArgsMaxCount(args, 2);\n        assertNumbers(args);\n        return args.length === 2\n            ? \"atan(\" + expressionToGlsl(context, args[0]) + \", \" + expressionToGlsl(context, args[1]) + \")\"\n            : \"atan(\" + expressionToGlsl(context, args[0]) + \")\";\n    },\n};\nOperators['>'] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" > \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['>='] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" >= \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['<'] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" < \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['<='] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" <= \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nfunction getEqualOperator(operator) {\n    return {\n        getReturnType: function (args) {\n            return ValueTypes.BOOLEAN;\n        },\n        toGlsl: function (context, args) {\n            assertArgsCount(args, 2);\n            // find common type\n            var type = ValueTypes.ANY;\n            for (var i = 0; i < args.length; i++) {\n                type &= getValueType(args[i]);\n            }\n            if (type === ValueTypes.NONE) {\n                throw new Error(\"All arguments should be of compatible type, got \" + JSON.stringify(args) + \" instead\");\n            }\n            // Since it's not possible to have color types here, we can leave it out\n            // This fixes issues in case the value type is ambiguously detected as a color (e.g. the string 'red')\n            type &= ~ValueTypes.COLOR;\n            return \"(\" + expressionToGlsl(context, args[0], type) + \" \" + operator + \" \" + expressionToGlsl(context, args[1], type) + \")\";\n        },\n    };\n}\nOperators['=='] = getEqualOperator('==');\nOperators['!='] = getEqualOperator('!=');\nOperators['!'] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertBoolean(args[0]);\n        return \"(!\" + expressionToGlsl(context, args[0]) + \")\";\n    },\n};\nfunction getDecisionOperator(operator) {\n    return {\n        getReturnType: function (args) {\n            return ValueTypes.BOOLEAN;\n        },\n        toGlsl: function (context, args) {\n            assertArgsMinCount(args, 2);\n            for (var i = 0; i < args.length; i++) {\n                assertBoolean(args[i]);\n            }\n            var result = '';\n            result = args\n                .map(function (arg) { return expressionToGlsl(context, arg); })\n                .join(\" \" + operator + \" \");\n            result = \"(\" + result + \")\";\n            return result;\n        },\n    };\n}\nOperators['all'] = getDecisionOperator('&&');\nOperators['any'] = getDecisionOperator('||');\nOperators['between'] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 3);\n        assertNumbers(args);\n        var min = expressionToGlsl(context, args[1]);\n        var max = expressionToGlsl(context, args[2]);\n        var value = expressionToGlsl(context, args[0]);\n        return \"(\" + value + \" >= \" + min + \" && \" + value + \" <= \" + max + \")\";\n    },\n};\nOperators['array'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER_ARRAY;\n    },\n    toGlsl: function (context, args) {\n        assertArgsMinCount(args, 2);\n        assertArgsMaxCount(args, 4);\n        assertNumbers(args);\n        var parsedArgs = args.map(function (val) {\n            return expressionToGlsl(context, val, ValueTypes.NUMBER);\n        });\n        return \"vec\" + args.length + \"(\" + parsedArgs.join(', ') + \")\";\n    },\n};\nOperators['color'] = {\n    getReturnType: function (args) {\n        return ValueTypes.COLOR;\n    },\n    toGlsl: function (context, args) {\n        assertArgsMinCount(args, 3);\n        assertArgsMaxCount(args, 4);\n        assertNumbers(args);\n        var array = /** @type {Array<number>} */ (args);\n        if (args.length === 3) {\n            array.push(1);\n        }\n        var parsedArgs = args.map(function (val, i) {\n            return (expressionToGlsl(context, val, ValueTypes.NUMBER) +\n                (i < 3 ? ' / 255.0' : ''));\n        });\n        return \"vec\" + args.length + \"(\" + parsedArgs.join(', ') + \")\";\n    },\n};\nOperators['interpolate'] = {\n    getReturnType: function (args) {\n        var type = ValueTypes.COLOR | ValueTypes.NUMBER;\n        for (var i = 3; i < args.length; i += 2) {\n            type = type & getValueType(args[i]);\n        }\n        return type;\n    },\n    toGlsl: function (context, args, opt_typeHint) {\n        assertArgsEven(args);\n        assertArgsMinCount(args, 6);\n        // validate interpolation type\n        var type = args[0];\n        var interpolation;\n        switch (type[0]) {\n            case 'linear':\n                interpolation = 1;\n                break;\n            case 'exponential':\n                interpolation = type[1];\n                break;\n            default:\n                interpolation = null;\n        }\n        if (!interpolation) {\n            throw new Error(\"Invalid interpolation type for \\\"interpolate\\\" operator, received: \" + JSON.stringify(type));\n        }\n        // compute input/output types\n        var typeHint = opt_typeHint !== undefined ? opt_typeHint : ValueTypes.ANY;\n        var outputType = Operators['interpolate'].getReturnType(args) & typeHint;\n        assertUniqueInferredType(args, outputType);\n        var input = expressionToGlsl(context, args[1]);\n        var exponent = numberToGlsl(interpolation);\n        var result = '';\n        for (var i = 2; i < args.length - 2; i += 2) {\n            var stop1 = expressionToGlsl(context, args[i]);\n            var output1 = result || expressionToGlsl(context, args[i + 1], outputType);\n            var stop2 = expressionToGlsl(context, args[i + 2]);\n            var output2 = expressionToGlsl(context, args[i + 3], outputType);\n            result = \"mix(\" + output1 + \", \" + output2 + \", pow(clamp((\" + input + \" - \" + stop1 + \") / (\" + stop2 + \" - \" + stop1 + \"), 0.0, 1.0), \" + exponent + \"))\";\n        }\n        return result;\n    },\n};\nOperators['match'] = {\n    getReturnType: function (args) {\n        var type = ValueTypes.ANY;\n        for (var i = 2; i < args.length; i += 2) {\n            type = type & getValueType(args[i]);\n        }\n        type = type & getValueType(args[args.length - 1]);\n        return type;\n    },\n    toGlsl: function (context, args, opt_typeHint) {\n        assertArgsEven(args);\n        assertArgsMinCount(args, 4);\n        var typeHint = opt_typeHint !== undefined ? opt_typeHint : ValueTypes.ANY;\n        var outputType = Operators['match'].getReturnType(args) & typeHint;\n        assertUniqueInferredType(args, outputType);\n        var input = expressionToGlsl(context, args[0]);\n        var fallback = expressionToGlsl(context, args[args.length - 1], outputType);\n        var result = null;\n        for (var i = args.length - 3; i >= 1; i -= 2) {\n            var match = expressionToGlsl(context, args[i]);\n            var output = expressionToGlsl(context, args[i + 1], outputType);\n            result = \"(\" + input + \" == \" + match + \" ? \" + output + \" : \" + (result || fallback) + \")\";\n        }\n        return result;\n    },\n};\nOperators['case'] = {\n    getReturnType: function (args) {\n        var type = ValueTypes.ANY;\n        for (var i = 1; i < args.length; i += 2) {\n            type = type & getValueType(args[i]);\n        }\n        type = type & getValueType(args[args.length - 1]);\n        return type;\n    },\n    toGlsl: function (context, args, opt_typeHint) {\n        assertArgsOdd(args);\n        assertArgsMinCount(args, 3);\n        var typeHint = opt_typeHint !== undefined ? opt_typeHint : ValueTypes.ANY;\n        var outputType = Operators['case'].getReturnType(args) & typeHint;\n        assertUniqueInferredType(args, outputType);\n        for (var i = 0; i < args.length - 1; i += 2) {\n            assertBoolean(args[i]);\n        }\n        var fallback = expressionToGlsl(context, args[args.length - 1], outputType);\n        var result = null;\n        for (var i = args.length - 3; i >= 0; i -= 2) {\n            var condition = expressionToGlsl(context, args[i]);\n            var output = expressionToGlsl(context, args[i + 1], outputType);\n            result = \"(\" + condition + \" ? \" + output + \" : \" + (result || fallback) + \")\";\n        }\n        return result;\n    },\n};\n//# sourceMappingURL=expressions.js.map","/**\n * Classes and utilities for generating shaders from literal style objects\n * @module ol/webgl/ShaderBuilder\n */\nimport { ValueTypes, expressionToGlsl, getStringNumberEquivalent, uniformNameForVariable, } from '../style/expressions.js';\n/**\n * @typedef {Object} VaryingDescription\n * @property {string} name Varying name, as will be declared in the header.\n * @property {string} type Varying type, either `float`, `vec2`, `vec4`...\n * @property {string} expression Expression which will be assigned to the varying in the vertex shader, and\n * passed on to the fragment shader.\n */\n/**\n * @classdesc\n * This class implements a classic builder pattern for generating many different types of shaders.\n * Methods can be chained, e. g.:\n *\n * ```js\n * const shader = new ShaderBuilder()\n *   .addVarying('v_width', 'float', 'a_width')\n *   .addUniform('u_time')\n *   .setColorExpression('...')\n *   .setSizeExpression('...')\n *   .outputSymbolFragmentShader();\n * ```\n */\nvar ShaderBuilder = /** @class */ (function () {\n    function ShaderBuilder() {\n        /**\n         * Uniforms; these will be declared in the header (should include the type).\n         * @type {Array<string>}\n         * @private\n         */\n        this.uniforms = [];\n        /**\n         * Attributes; these will be declared in the header (should include the type).\n         * @type {Array<string>}\n         * @private\n         */\n        this.attributes = [];\n        /**\n         * Varyings with a name, a type and an expression.\n         * @type {Array<VaryingDescription>}\n         * @private\n         */\n        this.varyings = [];\n        /**\n         * @type {string}\n         * @private\n         */\n        this.sizeExpression = 'vec2(1.0)';\n        /**\n         * @type {string}\n         * @private\n         */\n        this.rotationExpression = '0.0';\n        /**\n         * @type {string}\n         * @private\n         */\n        this.offsetExpression = 'vec2(0.0)';\n        /**\n         * @type {string}\n         * @private\n         */\n        this.colorExpression = 'vec4(1.0)';\n        /**\n         * @type {string}\n         * @private\n         */\n        this.texCoordExpression = 'vec4(0.0, 0.0, 1.0, 1.0)';\n        /**\n         * @type {string}\n         * @private\n         */\n        this.discardExpression = 'false';\n        /**\n         * @type {boolean}\n         * @private\n         */\n        this.rotateWithView = false;\n    }\n    /**\n     * Adds a uniform accessible in both fragment and vertex shaders.\n     * The given name should include a type, such as `sampler2D u_texture`.\n     * @param {string} name Uniform name\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.addUniform = function (name) {\n        this.uniforms.push(name);\n        return this;\n    };\n    /**\n     * Adds an attribute accessible in the vertex shader, read from the geometry buffer.\n     * The given name should include a type, such as `vec2 a_position`.\n     * @param {string} name Attribute name\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.addAttribute = function (name) {\n        this.attributes.push(name);\n        return this;\n    };\n    /**\n     * Adds a varying defined in the vertex shader and accessible from the fragment shader.\n     * The type and expression of the varying have to be specified separately.\n     * @param {string} name Varying name\n     * @param {'float'|'vec2'|'vec3'|'vec4'} type Type\n     * @param {string} expression Expression used to assign a value to the varying.\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.addVarying = function (name, type, expression) {\n        this.varyings.push({\n            name: name,\n            type: type,\n            expression: expression,\n        });\n        return this;\n    };\n    /**\n     * Sets an expression to compute the size of the shape.\n     * This expression can use all the uniforms and attributes available\n     * in the vertex shader, and should evaluate to a `vec2` value.\n     * @param {string} expression Size expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setSizeExpression = function (expression) {\n        this.sizeExpression = expression;\n        return this;\n    };\n    /**\n     * Sets an expression to compute the rotation of the shape.\n     * This expression can use all the uniforms and attributes available\n     * in the vertex shader, and should evaluate to a `float` value in radians.\n     * @param {string} expression Size expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setRotationExpression = function (expression) {\n        this.rotationExpression = expression;\n        return this;\n    };\n    /**\n     * Sets an expression to compute the offset of the symbol from the point center.\n     * This expression can use all the uniforms and attributes available\n     * in the vertex shader, and should evaluate to a `vec2` value.\n     * Note: will only be used for point geometry shaders.\n     * @param {string} expression Offset expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setSymbolOffsetExpression = function (expression) {\n        this.offsetExpression = expression;\n        return this;\n    };\n    /**\n     * Sets an expression to compute the color of the shape.\n     * This expression can use all the uniforms, varyings and attributes available\n     * in the fragment shader, and should evaluate to a `vec4` value.\n     * @param {string} expression Color expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setColorExpression = function (expression) {\n        this.colorExpression = expression;\n        return this;\n    };\n    /**\n     * Sets an expression to compute the texture coordinates of the vertices.\n     * This expression can use all the uniforms and attributes available\n     * in the vertex shader, and should evaluate to a `vec4` value.\n     * @param {string} expression Texture coordinate expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setTextureCoordinateExpression = function (expression) {\n        this.texCoordExpression = expression;\n        return this;\n    };\n    /**\n     * Sets an expression to determine whether a fragment (pixel) should be discarded,\n     * i.e. not drawn at all.\n     * This expression can use all the uniforms, varyings and attributes available\n     * in the fragment shader, and should evaluate to a `bool` value (it will be\n     * used in an `if` statement)\n     * @param {string} expression Fragment discard expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setFragmentDiscardExpression = function (expression) {\n        this.discardExpression = expression;\n        return this;\n    };\n    /**\n     * Sets whether the symbols should rotate with the view or stay aligned with the map.\n     * Note: will only be used for point geometry shaders.\n     * @param {boolean} rotateWithView Rotate with view\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setSymbolRotateWithView = function (rotateWithView) {\n        this.rotateWithView = rotateWithView;\n        return this;\n    };\n    /**\n     * @return {string} Previously set size expression\n     */\n    ShaderBuilder.prototype.getSizeExpression = function () {\n        return this.sizeExpression;\n    };\n    /**\n     * @return {string} Previously set symbol offset expression\n     */\n    ShaderBuilder.prototype.getOffsetExpression = function () {\n        return this.offsetExpression;\n    };\n    /**\n     * @return {string} Previously set color expression\n     */\n    ShaderBuilder.prototype.getColorExpression = function () {\n        return this.colorExpression;\n    };\n    /**\n     * @return {string} Previously set texture coordinate expression\n     */\n    ShaderBuilder.prototype.getTextureCoordinateExpression = function () {\n        return this.texCoordExpression;\n    };\n    /**\n     * @return {string} Previously set fragment discard expression\n     */\n    ShaderBuilder.prototype.getFragmentDiscardExpression = function () {\n        return this.discardExpression;\n    };\n    /**\n     * Generates a symbol vertex shader from the builder parameters,\n     * intended to be used on point geometries.\n     *\n     * Three uniforms are hardcoded in all shaders: `u_projectionMatrix`, `u_offsetScaleMatrix`,\n     * `u_offsetRotateMatrix`, `u_time`.\n     *\n     * The following attributes are hardcoded and expected to be present in the vertex buffers:\n     * `vec2 a_position`, `float a_index` (being the index of the vertex in the quad, 0 to 3).\n     *\n     * The following varyings are hardcoded and gives the coordinate of the pixel both in the quad and on the texture:\n     * `vec2 v_quadCoord`, `vec2 v_texCoord`\n     *\n     * @param {boolean} [forHitDetection] If true, the shader will be modified to include hit detection variables\n     * (namely, hit color with encoded feature id).\n     * @return {string} The full shader as a string.\n     */\n    ShaderBuilder.prototype.getSymbolVertexShader = function (forHitDetection) {\n        var offsetMatrix = this.rotateWithView\n            ? 'u_offsetScaleMatrix * u_offsetRotateMatrix'\n            : 'u_offsetScaleMatrix';\n        var attributes = this.attributes;\n        var varyings = this.varyings;\n        if (forHitDetection) {\n            attributes = attributes.concat('vec4 a_hitColor');\n            varyings = varyings.concat({\n                name: 'v_hitColor',\n                type: 'vec4',\n                expression: 'a_hitColor',\n            });\n        }\n        return \"precision mediump float;\\nuniform mat4 u_projectionMatrix;\\nuniform mat4 u_offsetScaleMatrix;\\nuniform mat4 u_offsetRotateMatrix;\\nuniform float u_time;\\nuniform float u_zoom;\\nuniform float u_resolution;\\n\" + this.uniforms\n            .map(function (uniform) {\n            return 'uniform ' + uniform + ';';\n        })\n            .join('\\n') + \"\\nattribute vec2 a_position;\\nattribute float a_index;\\n\" + attributes\n            .map(function (attribute) {\n            return 'attribute ' + attribute + ';';\n        })\n            .join('\\n') + \"\\nvarying vec2 v_texCoord;\\nvarying vec2 v_quadCoord;\\n\" + varyings\n            .map(function (varying) {\n            return 'varying ' + varying.type + ' ' + varying.name + ';';\n        })\n            .join('\\n') + \"\\nvoid main(void) {\\n  mat4 offsetMatrix = \" + offsetMatrix + \";\\n  vec2 halfSize = \" + this.sizeExpression + \" * 0.5;\\n  vec2 offset = \" + this.offsetExpression + \";\\n  float angle = \" + this.rotationExpression + \";\\n  float offsetX;\\n  float offsetY;\\n  if (a_index == 0.0) {\\n    offsetX = (offset.x - halfSize.x) * cos(angle) + (offset.y - halfSize.y) * sin(angle);\\n    offsetY = (offset.y - halfSize.y) * cos(angle) - (offset.x - halfSize.x) * sin(angle);\\n  } else if (a_index == 1.0) {\\n    offsetX = (offset.x + halfSize.x) * cos(angle) + (offset.y - halfSize.y) * sin(angle);\\n    offsetY = (offset.y - halfSize.y) * cos(angle) - (offset.x + halfSize.x) * sin(angle);\\n  } else if (a_index == 2.0) {\\n    offsetX = (offset.x + halfSize.x) * cos(angle) + (offset.y + halfSize.y) * sin(angle);\\n    offsetY = (offset.y + halfSize.y) * cos(angle) - (offset.x + halfSize.x) * sin(angle);\\n  } else {\\n    offsetX = (offset.x - halfSize.x) * cos(angle) + (offset.y + halfSize.y) * sin(angle);\\n    offsetY = (offset.y + halfSize.y) * cos(angle) - (offset.x - halfSize.x) * sin(angle);\\n  }\\n  vec4 offsets = offsetMatrix * vec4(offsetX, offsetY, 0.0, 0.0);\\n  gl_Position = u_projectionMatrix * vec4(a_position, 0.0, 1.0) + offsets;\\n  vec4 texCoord = \" + this.texCoordExpression + \";\\n  float u = a_index == 0.0 || a_index == 3.0 ? texCoord.s : texCoord.p;\\n  float v = a_index == 2.0 || a_index == 3.0 ? texCoord.t : texCoord.q;\\n  v_texCoord = vec2(u, v);\\n  u = a_index == 0.0 || a_index == 3.0 ? 0.0 : 1.0;\\n  v = a_index == 2.0 || a_index == 3.0 ? 0.0 : 1.0;\\n  v_quadCoord = vec2(u, v);\\n\" + varyings\n            .map(function (varying) {\n            return '  ' + varying.name + ' = ' + varying.expression + ';';\n        })\n            .join('\\n') + \"\\n}\";\n    };\n    /**\n     * Generates a symbol fragment shader from the builder parameters,\n     * intended to be used on point geometries.\n     *\n     * Expects the following varyings to be transmitted by the vertex shader:\n     * `vec2 v_quadCoord`, `vec2 v_texCoord`\n     *\n     * @param {boolean} [forHitDetection] If true, the shader will be modified to include hit detection variables\n     * (namely, hit color with encoded feature id).\n     * @return {string} The full shader as a string.\n     */\n    ShaderBuilder.prototype.getSymbolFragmentShader = function (forHitDetection) {\n        var hitDetectionBypass = forHitDetection\n            ? '  if (gl_FragColor.a < 0.1) { discard; } gl_FragColor = v_hitColor;'\n            : '';\n        var varyings = this.varyings;\n        if (forHitDetection) {\n            varyings = varyings.concat({\n                name: 'v_hitColor',\n                type: 'vec4',\n                expression: 'a_hitColor',\n            });\n        }\n        return \"precision mediump float;\\nuniform float u_time;\\nuniform float u_zoom;\\nuniform float u_resolution;\\n\" + this.uniforms\n            .map(function (uniform) {\n            return 'uniform ' + uniform + ';';\n        })\n            .join('\\n') + \"\\nvarying vec2 v_texCoord;\\nvarying vec2 v_quadCoord;\\n\" + varyings\n            .map(function (varying) {\n            return 'varying ' + varying.type + ' ' + varying.name + ';';\n        })\n            .join('\\n') + \"\\nvoid main(void) {\\n  if (\" + this.discardExpression + \") { discard; }\\n  gl_FragColor = \" + this.colorExpression + \";\\n  gl_FragColor.rgb *= gl_FragColor.a;\\n\" + hitDetectionBypass + \"\\n}\";\n    };\n    return ShaderBuilder;\n}());\nexport { ShaderBuilder };\n/**\n * @typedef {Object} StyleParseResult\n * @property {ShaderBuilder} builder Shader builder pre-configured according to a given style\n * @property {Object<string,import(\"./Helper\").UniformValue>} uniforms Uniform definitions.\n * @property {Array<import(\"../renderer/webgl/PointsLayer\").CustomAttribute>} attributes Attribute descriptions.\n */\n/**\n * Parses a {@link import(\"../style/literal\").LiteralStyle} object and returns a {@link ShaderBuilder}\n * object that has been configured according to the given style, as well as `attributes` and `uniforms`\n * arrays to be fed to the `WebGLPointsRenderer` class.\n *\n * Also returns `uniforms` and `attributes` properties as expected by the\n * {@link module:ol/renderer/webgl/PointsLayer~WebGLPointsLayerRenderer}.\n *\n * @param {import(\"../style/literal\").LiteralStyle} style Literal style.\n * @return {StyleParseResult} Result containing shader params, attributes and uniforms.\n */\nexport function parseLiteralStyle(style) {\n    var symbStyle = style.symbol;\n    var size = symbStyle.size !== undefined ? symbStyle.size : 1;\n    var color = symbStyle.color || 'white';\n    var texCoord = symbStyle.textureCoord || [0, 0, 1, 1];\n    var offset = symbStyle.offset || [0, 0];\n    var opacity = symbStyle.opacity !== undefined ? symbStyle.opacity : 1;\n    var rotation = symbStyle.rotation !== undefined ? symbStyle.rotation : 0;\n    /**\n     * @type {import(\"../style/expressions.js\").ParsingContext}\n     */\n    var vertContext = {\n        inFragmentShader: false,\n        variables: [],\n        attributes: [],\n        stringLiteralsMap: {},\n        functions: {},\n    };\n    var parsedSize = expressionToGlsl(vertContext, size, ValueTypes.NUMBER_ARRAY | ValueTypes.NUMBER);\n    var parsedOffset = expressionToGlsl(vertContext, offset, ValueTypes.NUMBER_ARRAY);\n    var parsedTexCoord = expressionToGlsl(vertContext, texCoord, ValueTypes.NUMBER_ARRAY);\n    var parsedRotation = expressionToGlsl(vertContext, rotation, ValueTypes.NUMBER);\n    /**\n     * @type {import(\"../style/expressions.js\").ParsingContext}\n     */\n    var fragContext = {\n        inFragmentShader: true,\n        variables: vertContext.variables,\n        attributes: [],\n        stringLiteralsMap: vertContext.stringLiteralsMap,\n        functions: {},\n    };\n    var parsedColor = expressionToGlsl(fragContext, color, ValueTypes.COLOR);\n    var parsedOpacity = expressionToGlsl(fragContext, opacity, ValueTypes.NUMBER);\n    var opacityFilter = '1.0';\n    var visibleSize = \"vec2(\" + expressionToGlsl(fragContext, size, ValueTypes.NUMBER_ARRAY | ValueTypes.NUMBER) + \").x\";\n    switch (symbStyle.symbolType) {\n        case 'square':\n            break;\n        case 'image':\n            break;\n        // taken from https://thebookofshaders.com/07/\n        case 'circle':\n            opacityFilter = \"(1.0-smoothstep(1.-4./\" + visibleSize + \",1.,dot(v_quadCoord-.5,v_quadCoord-.5)*4.))\";\n            break;\n        case 'triangle':\n            var st = '(v_quadCoord*2.-1.)';\n            var a = \"(atan(\" + st + \".x,\" + st + \".y))\";\n            opacityFilter = \"(1.0-smoothstep(.5-3./\" + visibleSize + \",.5,cos(floor(.5+\" + a + \"/2.094395102)*2.094395102-\" + a + \")*length(\" + st + \")))\";\n            break;\n        default:\n            throw new Error('Unexpected symbol type: ' + symbStyle.symbolType);\n    }\n    var builder = new ShaderBuilder()\n        .setSizeExpression(\"vec2(\" + parsedSize + \")\")\n        .setRotationExpression(parsedRotation)\n        .setSymbolOffsetExpression(parsedOffset)\n        .setTextureCoordinateExpression(parsedTexCoord)\n        .setSymbolRotateWithView(!!symbStyle.rotateWithView)\n        .setColorExpression(\"vec4(\" + parsedColor + \".rgb, \" + parsedColor + \".a * \" + parsedOpacity + \" * \" + opacityFilter + \")\");\n    if (style.filter) {\n        var parsedFilter = expressionToGlsl(fragContext, style.filter, ValueTypes.BOOLEAN);\n        builder.setFragmentDiscardExpression(\"!\" + parsedFilter);\n    }\n    /** @type {Object<string,import(\"../webgl/Helper\").UniformValue>} */\n    var uniforms = {};\n    // define one uniform per variable\n    fragContext.variables.forEach(function (varName) {\n        var uniformName = uniformNameForVariable(varName);\n        builder.addUniform(\"float \" + uniformName);\n        uniforms[uniformName] = function () {\n            if (!style.variables || style.variables[varName] === undefined) {\n                throw new Error(\"The following variable is missing from the style: \" + varName);\n            }\n            var value = style.variables[varName];\n            if (typeof value === 'string') {\n                value = getStringNumberEquivalent(vertContext, value);\n            }\n            return value !== undefined ? value : -9999999; // to avoid matching with the first string literal\n        };\n    });\n    if (symbStyle.symbolType === 'image' && symbStyle.src) {\n        var texture = new Image();\n        texture.src = symbStyle.src;\n        builder\n            .addUniform('sampler2D u_texture')\n            .setColorExpression(builder.getColorExpression() + ' * texture2D(u_texture, v_texCoord)');\n        uniforms['u_texture'] = texture;\n    }\n    // for each feature attribute used in the fragment shader, define a varying that will be used to pass data\n    // from the vertex to the fragment shader, as well as an attribute in the vertex shader (if not already present)\n    fragContext.attributes.forEach(function (attrName) {\n        if (vertContext.attributes.indexOf(attrName) === -1) {\n            vertContext.attributes.push(attrName);\n        }\n        builder.addVarying(\"v_\" + attrName, 'float', \"a_\" + attrName);\n    });\n    // for each feature attribute used in the vertex shader, define an attribute in the vertex shader.\n    vertContext.attributes.forEach(function (attrName) {\n        builder.addAttribute(\"float a_\" + attrName);\n    });\n    return {\n        builder: builder,\n        attributes: vertContext.attributes.map(function (attributeName) {\n            return {\n                name: attributeName,\n                callback: function (feature, props) {\n                    var value = props[attributeName];\n                    if (typeof value === 'string') {\n                        value = getStringNumberEquivalent(vertContext, value);\n                    }\n                    return value !== undefined ? value : -9999999; // to avoid matching with the first string literal\n                },\n            };\n        }),\n        uniforms: uniforms,\n    };\n}\n//# sourceMappingURL=ShaderBuilder.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/WebGLPoints\n */\nimport Layer from './Layer.js';\nimport WebGLPointsLayerRenderer from '../renderer/webgl/PointsLayer.js';\nimport { assign } from '../obj.js';\nimport { parseLiteralStyle } from '../webgl/ShaderBuilder.js';\n/**\n * @template {import(\"../source/Vector.js\").default} VectorSourceType\n * @typedef {Object} Options\n * @property {import('../style/literal.js').LiteralStyle} style Literal style to apply to the layer features.\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {VectorSourceType} [source] Source.\n * @property {boolean} [disableHitDetection=false] Setting this to true will provide a slight performance boost, but will\n * prevent all hit detection on the layer.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @classdesc\n * Layer optimized for rendering large point datasets. Takes a `style` property which\n * is a serializable JSON object describing how the layer should be rendered.\n *\n * Here are a few samples of literal style objects:\n * ```js\n * const style = {\n *   symbol: {\n *     symbolType: 'circle',\n *     size: 8,\n *     color: '#33AAFF',\n *     opacity: 0.9\n *   }\n * }\n * ```\n *\n * ```js\n * const style = {\n *   symbol: {\n *     symbolType: 'image',\n *     offset: [0, 12],\n *     size: [4, 8],\n *     src: '../static/exclamation-mark.png'\n *   }\n * }\n * ```\n *\n * **Important: a `WebGLPoints` layer must be manually disposed when removed, otherwise the underlying WebGL context\n * will not be garbage collected.**\n *\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Vector.js\").default} VectorSourceType\n * @extends {Layer<VectorSourceType, WebGLPointsLayerRenderer>}\n * @fires import(\"../render/Event.js\").RenderEvent\n */\nvar WebGLPointsLayer = /** @class */ (function (_super) {\n    __extends(WebGLPointsLayer, _super);\n    /**\n     * @param {Options<VectorSourceType>} options Options.\n     */\n    function WebGLPointsLayer(options) {\n        var _this = this;\n        var baseOptions = assign({}, options);\n        _this = _super.call(this, baseOptions) || this;\n        /**\n         * @private\n         * @type {import('../webgl/ShaderBuilder.js').StyleParseResult}\n         */\n        _this.parseResult_ = parseLiteralStyle(options.style);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.hitDetectionDisabled_ = !!options.disableHitDetection;\n        return _this;\n    }\n    WebGLPointsLayer.prototype.createRenderer = function () {\n        return new WebGLPointsLayerRenderer(this, {\n            vertexShader: this.parseResult_.builder.getSymbolVertexShader(),\n            fragmentShader: this.parseResult_.builder.getSymbolFragmentShader(),\n            hitVertexShader: !this.hitDetectionDisabled_ &&\n                this.parseResult_.builder.getSymbolVertexShader(true),\n            hitFragmentShader: !this.hitDetectionDisabled_ &&\n                this.parseResult_.builder.getSymbolFragmentShader(true),\n            uniforms: this.parseResult_.uniforms,\n            attributes: this.parseResult_.attributes,\n        });\n    };\n    return WebGLPointsLayer;\n}(Layer));\nexport default WebGLPointsLayer;\n//# sourceMappingURL=WebGLPoints.js.map","/**\n * @module ol/source/BingMaps\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport SourceState from './State.js';\nimport TileImage from './TileImage.js';\nimport { applyTransform, intersects } from '../extent.js';\nimport { createFromTileUrlFunctions } from '../tileurlfunction.js';\nimport { createOrUpdate } from '../tilecoord.js';\nimport { createXYZ, extentFromProjection } from '../tilegrid.js';\nimport { get as getProjection, getTransformFromProjections } from '../proj.js';\nimport { jsonp as requestJSONP } from '../net.js';\n/**\n * @param {import('../tilecoord.js').TileCoord} tileCoord Tile coord.\n * @return {string} Quad key.\n */\nexport function quadKey(tileCoord) {\n    var z = tileCoord[0];\n    var digits = new Array(z);\n    var mask = 1 << (z - 1);\n    var i, charCode;\n    for (i = 0; i < z; ++i) {\n        // 48 is charCode for 0 - '0'.charCodeAt(0)\n        charCode = 48;\n        if (tileCoord[1] & mask) {\n            charCode += 1;\n        }\n        if (tileCoord[2] & mask) {\n            charCode += 2;\n        }\n        digits[i] = String.fromCharCode(charCode);\n        mask >>= 1;\n    }\n    return digits.join('');\n}\n/**\n * The attribution containing a link to the Microsoft® Bing™ Maps Platform APIs’\n * Terms Of Use.\n * @const\n * @type {string}\n */\nvar TOS_ATTRIBUTION = '<a class=\"ol-attribution-bing-tos\" ' +\n    'href=\"https://www.microsoft.com/maps/product/terms.html\" target=\"_blank\">' +\n    'Terms of Use</a>';\n/**\n * @typedef {Object} Options\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least the number of tiles in the viewport.\n * @property {boolean} [hidpi=false] If `true` hidpi tiles will be requested.\n * @property {string} [culture='en-us'] Culture code.\n * @property {string} key Bing Maps API key. Get yours at https://www.bingmapsportal.com/.\n * @property {string} imagerySet Type of imagery.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {number} [maxZoom=21] Max zoom. Default is what's advertized by the BingMaps service.\n * @property {number} [reprojectionErrorThreshold=0.5] Maximum allowed reprojection error (in pixels).\n * Higher values can increase reprojection performance, but decrease precision.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction] Optional function to load a tile given a URL. The default is\n * ```js\n * function(imageTile, src) {\n *   imageTile.getImage().src = src;\n * };\n * ```\n * @property {boolean} [wrapX=true] Whether to wrap the world horizontally.\n * @property {number} [transition] Duration of the opacity transition for rendering.\n * To disable the opacity transition, pass `transition: 0`.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @typedef {Object} BingMapsImageryMetadataResponse\n * @property {number} statusCode The response status code\n * @property {string} statusDescription The response status description\n * @property {string} authenticationResultCode The authentication result code\n * @property {Array<ResourceSet>} resourceSets The array of resource sets\n */\n/**\n * @typedef {Object} ResourceSet\n * @property {Array<Resource>} resources Resources.\n */\n/**\n * @typedef {Object} Resource\n * @property {number} imageHeight The image height\n * @property {number} imageWidth The image width\n * @property {number} zoomMin The minimum zoom level\n * @property {number} zoomMax The maximum zoom level\n * @property {string} imageUrl The image URL\n * @property {Array<string>} imageUrlSubdomains The image URL subdomains for rotation\n * @property {Array<ImageryProvider>} [imageryProviders] The array of ImageryProviders\n */\n/**\n * @typedef {Object} ImageryProvider\n * @property {Array<CoverageArea>} coverageAreas The coverage areas\n * @property {string} [attribution] The attribution\n */\n/**\n * @typedef {Object} CoverageArea\n * @property {number} zoomMin The minimum zoom\n * @property {number} zoomMax The maximum zoom\n * @property {Array<number>} bbox The coverage bounding box\n */\n/**\n * @classdesc\n * Layer source for Bing Maps tile data.\n * @api\n */\nvar BingMaps = /** @class */ (function (_super) {\n    __extends(BingMaps, _super);\n    /**\n     * @param {Options} options Bing Maps options.\n     */\n    function BingMaps(options) {\n        var _this = this;\n        var hidpi = options.hidpi !== undefined ? options.hidpi : false;\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        _this = _super.call(this, {\n            cacheSize: options.cacheSize,\n            crossOrigin: 'anonymous',\n            interpolate: interpolate,\n            opaque: true,\n            projection: getProjection('EPSG:3857'),\n            reprojectionErrorThreshold: options.reprojectionErrorThreshold,\n            state: SourceState.LOADING,\n            tileLoadFunction: options.tileLoadFunction,\n            tilePixelRatio: hidpi ? 2 : 1,\n            wrapX: options.wrapX !== undefined ? options.wrapX : true,\n            transition: options.transition,\n            zDirection: options.zDirection,\n        }) || this;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.hidpi_ = hidpi;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.culture_ = options.culture !== undefined ? options.culture : 'en-us';\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxZoom_ = options.maxZoom !== undefined ? options.maxZoom : -1;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.apiKey_ = options.key;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.imagerySet_ = options.imagerySet;\n        var url = 'https://dev.virtualearth.net/REST/v1/Imagery/Metadata/' +\n            _this.imagerySet_ +\n            '?uriScheme=https&include=ImageryProviders&key=' +\n            _this.apiKey_ +\n            '&c=' +\n            _this.culture_;\n        requestJSONP(url, _this.handleImageryMetadataResponse.bind(_this), undefined, 'jsonp');\n        return _this;\n    }\n    /**\n     * Get the api key used for this source.\n     *\n     * @return {string} The api key.\n     * @api\n     */\n    BingMaps.prototype.getApiKey = function () {\n        return this.apiKey_;\n    };\n    /**\n     * Get the imagery set associated with this source.\n     *\n     * @return {string} The imagery set.\n     * @api\n     */\n    BingMaps.prototype.getImagerySet = function () {\n        return this.imagerySet_;\n    };\n    /**\n     * @param {BingMapsImageryMetadataResponse} response Response.\n     */\n    BingMaps.prototype.handleImageryMetadataResponse = function (response) {\n        if (response.statusCode != 200 ||\n            response.statusDescription != 'OK' ||\n            response.authenticationResultCode != 'ValidCredentials' ||\n            response.resourceSets.length != 1 ||\n            response.resourceSets[0].resources.length != 1) {\n            this.setState(SourceState.ERROR);\n            return;\n        }\n        var resource = response.resourceSets[0].resources[0];\n        var maxZoom = this.maxZoom_ == -1 ? resource.zoomMax : this.maxZoom_;\n        var sourceProjection = this.getProjection();\n        var extent = extentFromProjection(sourceProjection);\n        var scale = this.hidpi_ ? 2 : 1;\n        var tileSize = resource.imageWidth == resource.imageHeight\n            ? resource.imageWidth / scale\n            : [resource.imageWidth / scale, resource.imageHeight / scale];\n        var tileGrid = createXYZ({\n            extent: extent,\n            minZoom: resource.zoomMin,\n            maxZoom: maxZoom,\n            tileSize: tileSize,\n        });\n        this.tileGrid = tileGrid;\n        var culture = this.culture_;\n        var hidpi = this.hidpi_;\n        this.tileUrlFunction = createFromTileUrlFunctions(resource.imageUrlSubdomains.map(function (subdomain) {\n            /** @type {import('../tilecoord.js').TileCoord} */\n            var quadKeyTileCoord = [0, 0, 0];\n            var imageUrl = resource.imageUrl\n                .replace('{subdomain}', subdomain)\n                .replace('{culture}', culture);\n            return (\n            /**\n             * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n             * @param {number} pixelRatio Pixel ratio.\n             * @param {import(\"../proj/Projection.js\").default} projection Projection.\n             * @return {string|undefined} Tile URL.\n             */\n            function (tileCoord, pixelRatio, projection) {\n                if (!tileCoord) {\n                    return undefined;\n                }\n                else {\n                    createOrUpdate(tileCoord[0], tileCoord[1], tileCoord[2], quadKeyTileCoord);\n                    var url = imageUrl;\n                    if (hidpi) {\n                        url += '&dpi=d1&device=mobile';\n                    }\n                    return url.replace('{quadkey}', quadKey(quadKeyTileCoord));\n                }\n            });\n        }));\n        if (resource.imageryProviders) {\n            var transform_1 = getTransformFromProjections(getProjection('EPSG:4326'), this.getProjection());\n            this.setAttributions(function (frameState) {\n                var attributions = [];\n                var viewState = frameState.viewState;\n                var tileGrid = this.getTileGrid();\n                var z = tileGrid.getZForResolution(viewState.resolution, this.zDirection);\n                var tileCoord = tileGrid.getTileCoordForCoordAndZ(viewState.center, z);\n                var zoom = tileCoord[0];\n                resource.imageryProviders.map(function (imageryProvider) {\n                    var intersecting = false;\n                    var coverageAreas = imageryProvider.coverageAreas;\n                    for (var i = 0, ii = coverageAreas.length; i < ii; ++i) {\n                        var coverageArea = coverageAreas[i];\n                        if (zoom >= coverageArea.zoomMin &&\n                            zoom <= coverageArea.zoomMax) {\n                            var bbox = coverageArea.bbox;\n                            var epsg4326Extent = [bbox[1], bbox[0], bbox[3], bbox[2]];\n                            var extent_1 = applyTransform(epsg4326Extent, transform_1);\n                            if (intersects(extent_1, frameState.extent)) {\n                                intersecting = true;\n                                break;\n                            }\n                        }\n                    }\n                    if (intersecting) {\n                        attributions.push(imageryProvider.attribution);\n                    }\n                });\n                attributions.push(TOS_ATTRIBUTION);\n                return attributions;\n            }.bind(this));\n        }\n        this.setState(SourceState.READY);\n    };\n    return BingMaps;\n}(TileImage));\nexport default BingMaps;\n//# sourceMappingURL=BingMaps.js.map","/**\n * @module ol/source/XYZ\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport TileImage from './TileImage.js';\nimport { createXYZ, extentFromProjection } from '../tilegrid.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least the number of tiles in the viewport.\n * @property {null|string} [crossOrigin] The `crossOrigin` attribute for loaded images.  Note that\n * you must provide a `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {boolean} [opaque=false] Whether the layer is opaque.\n * @property {import(\"../proj.js\").ProjectionLike} [projection='EPSG:3857'] Projection.\n * @property {number} [reprojectionErrorThreshold=0.5] Maximum allowed reprojection error (in pixels).\n * Higher values can increase reprojection performance, but decrease precision.\n * @property {number} [maxZoom=42] Optional max zoom level. Not used if `tileGrid` is provided.\n * @property {number} [minZoom=0] Optional min zoom level. Not used if `tileGrid` is provided.\n * @property {number} [maxResolution] Optional tile grid resolution at level zero. Not used if `tileGrid` is provided.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] Tile grid.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction] Optional function to load a tile given a URL. The default is\n * ```js\n * function(imageTile, src) {\n *   imageTile.getImage().src = src;\n * };\n * ```\n * @property {number} [tilePixelRatio=1] The pixel ratio used by the tile service.\n * For example, if the tile service advertizes 256px by 256px tiles but actually sends 512px\n * by 512px images (for retina/hidpi devices) then `tilePixelRatio`\n * should be set to `2`.\n * @property {number|import(\"../size.js\").Size} [tileSize=[256, 256]] The tile size used by the tile service.\n * Not used if `tileGrid` is provided.\n * @property {import(\"../Tile.js\").UrlFunction} [tileUrlFunction] Optional function to get\n * tile URL given a tile coordinate and the projection.\n * Required if `url` or `urls` are not provided.\n * @property {string} [url] URL template. Must include `{x}`, `{y}` or `{-y}`,\n * and `{z}` placeholders. A `{?-?}` template pattern, for example `subdomain{a-f}.domain.com`,\n * may be used instead of defining each one separately in the `urls` option.\n * @property {Array<string>} [urls] An array of URL templates.\n * @property {boolean} [wrapX=true] Whether to wrap the world horizontally.\n * @property {number} [transition=250] Duration of the opacity transition for rendering.\n * To disable the opacity transition, pass `transition: 0`.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @classdesc\n * Layer source for tile data with URLs in a set XYZ format that are\n * defined in a URL template. By default, this follows the widely-used\n * Google grid where `x` 0 and `y` 0 are in the top left. Grids like\n * TMS where `x` 0 and `y` 0 are in the bottom left can be used by\n * using the `{-y}` placeholder in the URL template, so long as the\n * source does not have a custom tile grid. In this case\n * a `tileUrlFunction` can be used, such as:\n * ```js\n *  tileUrlFunction: function(coordinate) {\n *    return 'http://mapserver.com/' + coordinate[0] + '/' +\n *      coordinate[1] + '/' + (-coordinate[2] - 1) + '.png';\n *  }\n * ```\n * @api\n */\nvar XYZ = /** @class */ (function (_super) {\n    __extends(XYZ, _super);\n    /**\n     * @param {Options} [opt_options] XYZ options.\n     */\n    function XYZ(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        var projection = options.projection !== undefined ? options.projection : 'EPSG:3857';\n        var tileGrid = options.tileGrid !== undefined\n            ? options.tileGrid\n            : createXYZ({\n                extent: extentFromProjection(projection),\n                maxResolution: options.maxResolution,\n                maxZoom: options.maxZoom,\n                minZoom: options.minZoom,\n                tileSize: options.tileSize,\n            });\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            cacheSize: options.cacheSize,\n            crossOrigin: options.crossOrigin,\n            interpolate: interpolate,\n            opaque: options.opaque,\n            projection: projection,\n            reprojectionErrorThreshold: options.reprojectionErrorThreshold,\n            tileGrid: tileGrid,\n            tileLoadFunction: options.tileLoadFunction,\n            tilePixelRatio: options.tilePixelRatio,\n            tileUrlFunction: options.tileUrlFunction,\n            url: options.url,\n            urls: options.urls,\n            wrapX: options.wrapX !== undefined ? options.wrapX : true,\n            transition: options.transition,\n            attributionsCollapsible: options.attributionsCollapsible,\n            zDirection: options.zDirection,\n        }) || this;\n        return _this;\n    }\n    return XYZ;\n}(TileImage));\nexport default XYZ;\n//# sourceMappingURL=XYZ.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/reproj/Image\n */\nimport { ERROR_THRESHOLD } from './common.js';\nimport EventType from '../events/EventType.js';\nimport ImageBase from '../ImageBase.js';\nimport ImageState from '../ImageState.js';\nimport Triangulation from './Triangulation.js';\nimport { calculateSourceResolution, render as renderReprojected, } from '../reproj.js';\nimport { getCenter, getHeight, getIntersection, getWidth } from '../extent.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {function(import(\"../extent.js\").Extent, number, number) : import(\"../ImageBase.js\").default} FunctionType\n */\n/**\n * @classdesc\n * Class encapsulating single reprojected image.\n * See {@link module:ol/source/Image~ImageSource}.\n */\nvar ReprojImage = /** @class */ (function (_super) {\n    __extends(ReprojImage, _super);\n    /**\n     * @param {import(\"../proj/Projection.js\").default} sourceProj Source projection (of the data).\n     * @param {import(\"../proj/Projection.js\").default} targetProj Target projection.\n     * @param {import(\"../extent.js\").Extent} targetExtent Target extent.\n     * @param {number} targetResolution Target resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {FunctionType} getImageFunction\n     *     Function returning source images (extent, resolution, pixelRatio).\n     * @param {boolean} interpolate Use linear interpolation when resampling.\n     */\n    function ReprojImage(sourceProj, targetProj, targetExtent, targetResolution, pixelRatio, getImageFunction, interpolate) {\n        var _this = this;\n        var maxSourceExtent = sourceProj.getExtent();\n        var maxTargetExtent = targetProj.getExtent();\n        var limitedTargetExtent = maxTargetExtent\n            ? getIntersection(targetExtent, maxTargetExtent)\n            : targetExtent;\n        var targetCenter = getCenter(limitedTargetExtent);\n        var sourceResolution = calculateSourceResolution(sourceProj, targetProj, targetCenter, targetResolution);\n        var errorThresholdInPixels = ERROR_THRESHOLD;\n        var triangulation = new Triangulation(sourceProj, targetProj, limitedTargetExtent, maxSourceExtent, sourceResolution * errorThresholdInPixels, targetResolution);\n        var sourceExtent = triangulation.calculateSourceExtent();\n        var sourceImage = getImageFunction(sourceExtent, sourceResolution, pixelRatio);\n        var state = sourceImage ? ImageState.IDLE : ImageState.EMPTY;\n        var sourcePixelRatio = sourceImage ? sourceImage.getPixelRatio() : 1;\n        _this = _super.call(this, targetExtent, targetResolution, sourcePixelRatio, state) || this;\n        /**\n         * @private\n         * @type {import(\"../proj/Projection.js\").default}\n         */\n        _this.targetProj_ = targetProj;\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        _this.maxSourceExtent_ = maxSourceExtent;\n        /**\n         * @private\n         * @type {!import(\"./Triangulation.js\").default}\n         */\n        _this.triangulation_ = triangulation;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.targetResolution_ = targetResolution;\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        _this.targetExtent_ = targetExtent;\n        /**\n         * @private\n         * @type {import(\"../ImageBase.js\").default}\n         */\n        _this.sourceImage_ = sourceImage;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.sourcePixelRatio_ = sourcePixelRatio;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.interpolate_ = interpolate;\n        /**\n         * @private\n         * @type {HTMLCanvasElement}\n         */\n        _this.canvas_ = null;\n        /**\n         * @private\n         * @type {?import(\"../events.js\").EventsKey}\n         */\n        _this.sourceListenerKey_ = null;\n        return _this;\n    }\n    /**\n     * Clean up.\n     */\n    ReprojImage.prototype.disposeInternal = function () {\n        if (this.state == ImageState.LOADING) {\n            this.unlistenSource_();\n        }\n        _super.prototype.disposeInternal.call(this);\n    };\n    /**\n     * @return {HTMLCanvasElement} Image.\n     */\n    ReprojImage.prototype.getImage = function () {\n        return this.canvas_;\n    };\n    /**\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     */\n    ReprojImage.prototype.getProjection = function () {\n        return this.targetProj_;\n    };\n    /**\n     * @private\n     */\n    ReprojImage.prototype.reproject_ = function () {\n        var sourceState = this.sourceImage_.getState();\n        if (sourceState == ImageState.LOADED) {\n            var width = getWidth(this.targetExtent_) / this.targetResolution_;\n            var height = getHeight(this.targetExtent_) / this.targetResolution_;\n            this.canvas_ = renderReprojected(width, height, this.sourcePixelRatio_, this.sourceImage_.getResolution(), this.maxSourceExtent_, this.targetResolution_, this.targetExtent_, this.triangulation_, [\n                {\n                    extent: this.sourceImage_.getExtent(),\n                    image: this.sourceImage_.getImage(),\n                },\n            ], 0, undefined, this.interpolate_);\n        }\n        this.state = sourceState;\n        this.changed();\n    };\n    /**\n     * Load not yet loaded URI.\n     */\n    ReprojImage.prototype.load = function () {\n        if (this.state == ImageState.IDLE) {\n            this.state = ImageState.LOADING;\n            this.changed();\n            var sourceState = this.sourceImage_.getState();\n            if (sourceState == ImageState.LOADED || sourceState == ImageState.ERROR) {\n                this.reproject_();\n            }\n            else {\n                this.sourceListenerKey_ = listen(this.sourceImage_, EventType.CHANGE, function (e) {\n                    var sourceState = this.sourceImage_.getState();\n                    if (sourceState == ImageState.LOADED ||\n                        sourceState == ImageState.ERROR) {\n                        this.unlistenSource_();\n                        this.reproject_();\n                    }\n                }, this);\n                this.sourceImage_.load();\n            }\n        }\n    };\n    /**\n     * @private\n     */\n    ReprojImage.prototype.unlistenSource_ = function () {\n        unlistenByKey(\n        /** @type {!import(\"../events.js\").EventsKey} */ (this.sourceListenerKey_));\n        this.sourceListenerKey_ = null;\n    };\n    return ReprojImage;\n}(ImageBase));\nexport default ReprojImage;\n//# sourceMappingURL=Image.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/source/Image\n */\nimport Event from '../events/Event.js';\nimport ImageState from '../ImageState.js';\nimport ReprojImage from '../reproj/Image.js';\nimport Source from './Source.js';\nimport { ENABLE_RASTER_REPROJECTION } from '../reproj/common.js';\nimport { abstract } from '../util.js';\nimport { equals } from '../extent.js';\nimport { equivalent } from '../proj.js';\nimport { linearFindNearest } from '../array.js';\n/**\n * @enum {string}\n */\nexport var ImageSourceEventType = {\n    /**\n     * Triggered when an image starts loading.\n     * @event module:ol/source/Image.ImageSourceEvent#imageloadstart\n     * @api\n     */\n    IMAGELOADSTART: 'imageloadstart',\n    /**\n     * Triggered when an image finishes loading.\n     * @event module:ol/source/Image.ImageSourceEvent#imageloadend\n     * @api\n     */\n    IMAGELOADEND: 'imageloadend',\n    /**\n     * Triggered if image loading results in an error.\n     * @event module:ol/source/Image.ImageSourceEvent#imageloaderror\n     * @api\n     */\n    IMAGELOADERROR: 'imageloaderror',\n};\n/**\n * @typedef {'imageloadend'|'imageloaderror'|'imageloadstart'} ImageSourceEventTypes\n */\n/**\n * @classdesc\n * Events emitted by {@link module:ol/source/Image~ImageSource} instances are instances of this\n * type.\n */\nvar ImageSourceEvent = /** @class */ (function (_super) {\n    __extends(ImageSourceEvent, _super);\n    /**\n     * @param {string} type Type.\n     * @param {import(\"../Image.js\").default} image The image.\n     */\n    function ImageSourceEvent(type, image) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The image related to the event.\n         * @type {import(\"../Image.js\").default}\n         * @api\n         */\n        _this.image = image;\n        return _this;\n    }\n    return ImageSourceEvent;\n}(Event));\nexport { ImageSourceEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types, import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<ImageSourceEventTypes, ImageSourceEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types\n *     |ImageSourceEventTypes, Return>} ImageSourceOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection.\n * @property {Array<number>} [resolutions] Resolutions.\n * @property {import(\"./State.js\").default} [state] State.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for sources providing a single image.\n * @abstract\n * @fires module:ol/source/Image.ImageSourceEvent\n * @api\n */\nvar ImageSource = /** @class */ (function (_super) {\n    __extends(ImageSource, _super);\n    /**\n     * @param {Options} options Single image source options.\n     */\n    function ImageSource(options) {\n        var _this = this;\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            projection: options.projection,\n            state: options.state,\n            interpolate: interpolate,\n        }) || this;\n        /***\n         * @type {ImageSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ImageSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ImageSourceOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.resolutions_ =\n            options.resolutions !== undefined ? options.resolutions : null;\n        /**\n         * @private\n         * @type {import(\"../reproj/Image.js\").default}\n         */\n        _this.reprojectedImage_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.reprojectedRevision_ = 0;\n        return _this;\n    }\n    /**\n     * @return {Array<number>} Resolutions.\n     */\n    ImageSource.prototype.getResolutions = function () {\n        return this.resolutions_;\n    };\n    /**\n     * @protected\n     * @param {number} resolution Resolution.\n     * @return {number} Resolution.\n     */\n    ImageSource.prototype.findNearestResolution = function (resolution) {\n        if (this.resolutions_) {\n            var idx = linearFindNearest(this.resolutions_, resolution, 0);\n            resolution = this.resolutions_[idx];\n        }\n        return resolution;\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../ImageBase.js\").default} Single image.\n     */\n    ImageSource.prototype.getImage = function (extent, resolution, pixelRatio, projection) {\n        var sourceProjection = this.getProjection();\n        if (!ENABLE_RASTER_REPROJECTION ||\n            !sourceProjection ||\n            !projection ||\n            equivalent(sourceProjection, projection)) {\n            if (sourceProjection) {\n                projection = sourceProjection;\n            }\n            return this.getImageInternal(extent, resolution, pixelRatio, projection);\n        }\n        else {\n            if (this.reprojectedImage_) {\n                if (this.reprojectedRevision_ == this.getRevision() &&\n                    equivalent(this.reprojectedImage_.getProjection(), projection) &&\n                    this.reprojectedImage_.getResolution() == resolution &&\n                    equals(this.reprojectedImage_.getExtent(), extent)) {\n                    return this.reprojectedImage_;\n                }\n                this.reprojectedImage_.dispose();\n                this.reprojectedImage_ = null;\n            }\n            this.reprojectedImage_ = new ReprojImage(sourceProjection, projection, extent, resolution, pixelRatio, function (extent, resolution, pixelRatio) {\n                return this.getImageInternal(extent, resolution, pixelRatio, sourceProjection);\n            }.bind(this), this.getInterpolate());\n            this.reprojectedRevision_ = this.getRevision();\n            return this.reprojectedImage_;\n        }\n    };\n    /**\n     * @abstract\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../ImageBase.js\").default} Single image.\n     * @protected\n     */\n    ImageSource.prototype.getImageInternal = function (extent, resolution, pixelRatio, projection) {\n        return abstract();\n    };\n    /**\n     * Handle image change events.\n     * @param {import(\"../events/Event.js\").default} event Event.\n     * @protected\n     */\n    ImageSource.prototype.handleImageChange = function (event) {\n        var image = /** @type {import(\"../Image.js\").default} */ (event.target);\n        switch (image.getState()) {\n            case ImageState.LOADING:\n                this.loading = true;\n                this.dispatchEvent(new ImageSourceEvent(ImageSourceEventType.IMAGELOADSTART, image));\n                break;\n            case ImageState.LOADED:\n                this.loading = false;\n                this.dispatchEvent(new ImageSourceEvent(ImageSourceEventType.IMAGELOADEND, image));\n                break;\n            case ImageState.ERROR:\n                this.loading = false;\n                this.dispatchEvent(new ImageSourceEvent(ImageSourceEventType.IMAGELOADERROR, image));\n                break;\n            default:\n            // pass\n        }\n    };\n    return ImageSource;\n}(Source));\n/**\n * Default image load function for image sources that use import(\"../Image.js\").Image image\n * instances.\n * @param {import(\"../Image.js\").default} image Image.\n * @param {string} src Source.\n */\nexport function defaultImageLoadFunction(image, src) {\n    /** @type {HTMLImageElement|HTMLVideoElement} */ (image.getImage()).src = src;\n}\nexport default ImageSource;\n//# sourceMappingURL=Image.js.map","/**\n * @module ol/uri\n */\n/**\n * Appends query parameters to a URI.\n *\n * @param {string} uri The original URI, which may already have query data.\n * @param {!Object} params An object where keys are URI-encoded parameter keys,\n *     and the values are arbitrary types or arrays.\n * @return {string} The new URI.\n */\nexport function appendParams(uri, params) {\n    var keyParams = [];\n    // Skip any null or undefined parameter values\n    Object.keys(params).forEach(function (k) {\n        if (params[k] !== null && params[k] !== undefined) {\n            keyParams.push(k + '=' + encodeURIComponent(params[k]));\n        }\n    });\n    var qs = keyParams.join('&');\n    // remove any trailing ? or &\n    uri = uri.replace(/[?&]$/, '');\n    // append ? or & depending on whether uri has existing parameters\n    uri = uri.indexOf('?') === -1 ? uri + '?' : uri + '&';\n    return uri + qs;\n}\n//# sourceMappingURL=uri.js.map","/**\n * @module ol/source/common\n */\n/**\n * Default WMS version.\n * @type {string}\n */\nexport var DEFAULT_WMS_VERSION = '1.3.0';\n//# sourceMappingURL=common.js.map","/**\n * @module ol/source/WMSServerType\n */\n/**\n * Available server types: `'carmentaserver'`, `'geoserver'`, `'mapserver'`,\n *     `'qgis'`. These are servers that have vendor parameters beyond the WMS\n *     specification that OpenLayers can make use of.\n * @enum {string}\n */\nexport default {\n    /**\n     * HiDPI support for [Carmenta Server](https://www.carmenta.com/en/products/carmenta-server)\n     * @api\n     */\n    CARMENTA_SERVER: 'carmentaserver',\n    /**\n     * HiDPI support for [GeoServer](https://geoserver.org/)\n     * @api\n     */\n    GEOSERVER: 'geoserver',\n    /**\n     * HiDPI support for [MapServer](https://mapserver.org/)\n     * @api\n     */\n    MAPSERVER: 'mapserver',\n    /**\n     * HiDPI support for [QGIS](https://qgis.org/)\n     * @api\n     */\n    QGIS: 'qgis',\n};\n//# sourceMappingURL=WMSServerType.js.map","/**\n * @module ol/source/ImageWMS\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport { DEFAULT_WMS_VERSION } from './common.js';\nimport EventType from '../events/EventType.js';\nimport ImageSource, { defaultImageLoadFunction } from './Image.js';\nimport ImageWrapper from '../Image.js';\nimport WMSServerType from './WMSServerType.js';\nimport { appendParams } from '../uri.js';\nimport { assert } from '../asserts.js';\nimport { assign } from '../obj.js';\nimport { calculateSourceResolution } from '../reproj.js';\nimport { ceil, floor, round } from '../math.js';\nimport { compareVersions } from '../string.js';\nimport { containsExtent, getCenter, getForViewAndSize, getHeight, getWidth, } from '../extent.js';\nimport { get as getProjection, transform } from '../proj.js';\n/**\n * Number of decimal digits to consider in integer values when rounding.\n * @type {number}\n */\nvar DECIMALS = 4;\n/**\n * @const\n * @type {import(\"../size.js\").Size}\n */\nvar GETFEATUREINFO_IMAGE_SIZE = [101, 101];\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {null|string} [crossOrigin] The `crossOrigin` attribute for loaded images.  Note that\n * you must provide a `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {boolean} [hidpi=true] Use the `ol/Map#pixelRatio` value when requesting\n * the image from the remote server.\n * @property {import(\"./WMSServerType.js\").default|string} [serverType] The type of\n * the remote WMS server: `mapserver`, `geoserver` or `qgis`. Only needed if `hidpi` is `true`.\n * @property {import(\"../Image.js\").LoadFunction} [imageLoadFunction] Optional function to load an image given a URL.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {Object<string,*>} params WMS request parameters.\n * At least a `LAYERS` param is required. `STYLES` is\n * `''` by default. `VERSION` is `1.3.0` by default. `WIDTH`, `HEIGHT`, `BBOX`\n * and `CRS` (`SRS` for WMS version < 1.3.0) will be set dynamically.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection. Default is the view projection.\n * @property {number} [ratio=1.5] Ratio. `1` means image requests are the size of the map viewport, `2` means\n * twice the width and height of the map viewport, and so on. Must be `1` or\n * higher.\n * @property {Array<number>} [resolutions] Resolutions.\n * If specified, requests will be made for these resolutions only.\n * @property {string} url WMS service URL.\n */\n/**\n * @classdesc\n * Source for WMS servers providing single, untiled images.\n *\n * @fires module:ol/source/Image.ImageSourceEvent\n * @api\n */\nvar ImageWMS = /** @class */ (function (_super) {\n    __extends(ImageWMS, _super);\n    /**\n     * @param {Options} [opt_options] ImageWMS options.\n     */\n    function ImageWMS(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            interpolate: interpolate,\n            projection: options.projection,\n            resolutions: options.resolutions,\n        }) || this;\n        /**\n         * @private\n         * @type {?string}\n         */\n        _this.crossOrigin_ =\n            options.crossOrigin !== undefined ? options.crossOrigin : null;\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        _this.url_ = options.url;\n        /**\n         * @private\n         * @type {import(\"../Image.js\").LoadFunction}\n         */\n        _this.imageLoadFunction_ =\n            options.imageLoadFunction !== undefined\n                ? options.imageLoadFunction\n                : defaultImageLoadFunction;\n        /**\n         * @private\n         * @type {!Object}\n         */\n        _this.params_ = options.params || {};\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.v13_ = true;\n        _this.updateV13_();\n        /**\n         * @private\n         * @type {import(\"./WMSServerType.js\").default|undefined}\n         */\n        _this.serverType_ =\n            /** @type {import(\"./WMSServerType.js\").default|undefined} */ (options.serverType);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.hidpi_ = options.hidpi !== undefined ? options.hidpi : true;\n        /**\n         * @private\n         * @type {import(\"../Image.js\").default}\n         */\n        _this.image_ = null;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        _this.imageSize_ = [0, 0];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedRevision_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.ratio_ = options.ratio !== undefined ? options.ratio : 1.5;\n        return _this;\n    }\n    /**\n     * Return the GetFeatureInfo URL for the passed coordinate, resolution, and\n     * projection. Return `undefined` if the GetFeatureInfo URL cannot be\n     * constructed.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {number} resolution Resolution.\n     * @param {import(\"../proj.js\").ProjectionLike} projection Projection.\n     * @param {!Object} params GetFeatureInfo params. `INFO_FORMAT` at least should\n     *     be provided. If `QUERY_LAYERS` is not provided then the layers specified\n     *     in the `LAYERS` parameter will be used. `VERSION` should not be\n     *     specified here.\n     * @return {string|undefined} GetFeatureInfo URL.\n     * @api\n     */\n    ImageWMS.prototype.getFeatureInfoUrl = function (coordinate, resolution, projection, params) {\n        if (this.url_ === undefined) {\n            return undefined;\n        }\n        var projectionObj = getProjection(projection);\n        var sourceProjectionObj = this.getProjection();\n        if (sourceProjectionObj && sourceProjectionObj !== projectionObj) {\n            resolution = calculateSourceResolution(sourceProjectionObj, projectionObj, coordinate, resolution);\n            coordinate = transform(coordinate, projectionObj, sourceProjectionObj);\n        }\n        var extent = getForViewAndSize(coordinate, resolution, 0, GETFEATUREINFO_IMAGE_SIZE);\n        var baseParams = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetFeatureInfo',\n            'FORMAT': 'image/png',\n            'TRANSPARENT': true,\n            'QUERY_LAYERS': this.params_['LAYERS'],\n        };\n        assign(baseParams, this.params_, params);\n        var x = floor((coordinate[0] - extent[0]) / resolution, DECIMALS);\n        var y = floor((extent[3] - coordinate[1]) / resolution, DECIMALS);\n        baseParams[this.v13_ ? 'I' : 'X'] = x;\n        baseParams[this.v13_ ? 'J' : 'Y'] = y;\n        return this.getRequestUrl_(extent, GETFEATUREINFO_IMAGE_SIZE, 1, sourceProjectionObj || projectionObj, baseParams);\n    };\n    /**\n     * Return the GetLegendGraphic URL, optionally optimized for the passed\n     * resolution and possibly including any passed specific parameters. Returns\n     * `undefined` if the GetLegendGraphic URL cannot be constructed.\n     *\n     * @param {number} [resolution] Resolution. If set to undefined, `SCALE`\n     *     will not be calculated and included in URL.\n     * @param {Object} [params] GetLegendGraphic params. If `LAYER` is set, the\n     *     request is generated for this wms layer, else it will try to use the\n     *     configured wms layer. Default `FORMAT` is `image/png`.\n     *     `VERSION` should not be specified here.\n     * @return {string|undefined} GetLegendGraphic URL.\n     * @api\n     */\n    ImageWMS.prototype.getLegendUrl = function (resolution, params) {\n        if (this.url_ === undefined) {\n            return undefined;\n        }\n        var baseParams = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetLegendGraphic',\n            'FORMAT': 'image/png',\n        };\n        if (params === undefined || params['LAYER'] === undefined) {\n            var layers = this.params_.LAYERS;\n            var isSingleLayer = !Array.isArray(layers) || layers.length === 1;\n            if (!isSingleLayer) {\n                return undefined;\n            }\n            baseParams['LAYER'] = layers;\n        }\n        if (resolution !== undefined) {\n            var mpu = this.getProjection()\n                ? this.getProjection().getMetersPerUnit()\n                : 1;\n            var pixelSize = 0.00028;\n            baseParams['SCALE'] = (resolution * mpu) / pixelSize;\n        }\n        assign(baseParams, params);\n        return appendParams(/** @type {string} */ (this.url_), baseParams);\n    };\n    /**\n     * Get the user-provided params, i.e. those passed to the constructor through\n     * the \"params\" option, and possibly updated using the updateParams method.\n     * @return {Object} Params.\n     * @api\n     */\n    ImageWMS.prototype.getParams = function () {\n        return this.params_;\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../Image.js\").default} Single image.\n     */\n    ImageWMS.prototype.getImageInternal = function (extent, resolution, pixelRatio, projection) {\n        if (this.url_ === undefined) {\n            return null;\n        }\n        resolution = this.findNearestResolution(resolution);\n        if (pixelRatio != 1 && (!this.hidpi_ || this.serverType_ === undefined)) {\n            pixelRatio = 1;\n        }\n        var imageResolution = resolution / pixelRatio;\n        var center = getCenter(extent);\n        var viewWidth = ceil(getWidth(extent) / imageResolution, DECIMALS);\n        var viewHeight = ceil(getHeight(extent) / imageResolution, DECIMALS);\n        var viewExtent = getForViewAndSize(center, imageResolution, 0, [\n            viewWidth,\n            viewHeight,\n        ]);\n        var requestWidth = ceil((this.ratio_ * getWidth(extent)) / imageResolution, DECIMALS);\n        var requestHeight = ceil((this.ratio_ * getHeight(extent)) / imageResolution, DECIMALS);\n        var requestExtent = getForViewAndSize(center, imageResolution, 0, [\n            requestWidth,\n            requestHeight,\n        ]);\n        var image = this.image_;\n        if (image &&\n            this.renderedRevision_ == this.getRevision() &&\n            image.getResolution() == resolution &&\n            image.getPixelRatio() == pixelRatio &&\n            containsExtent(image.getExtent(), viewExtent)) {\n            return image;\n        }\n        var params = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetMap',\n            'FORMAT': 'image/png',\n            'TRANSPARENT': true,\n        };\n        assign(params, this.params_);\n        this.imageSize_[0] = round(getWidth(requestExtent) / imageResolution, DECIMALS);\n        this.imageSize_[1] = round(getHeight(requestExtent) / imageResolution, DECIMALS);\n        var url = this.getRequestUrl_(requestExtent, this.imageSize_, pixelRatio, projection, params);\n        this.image_ = new ImageWrapper(requestExtent, resolution, pixelRatio, url, this.crossOrigin_, this.imageLoadFunction_);\n        this.renderedRevision_ = this.getRevision();\n        this.image_.addEventListener(EventType.CHANGE, this.handleImageChange.bind(this));\n        return this.image_;\n    };\n    /**\n     * Return the image load function of the source.\n     * @return {import(\"../Image.js\").LoadFunction} The image load function.\n     * @api\n     */\n    ImageWMS.prototype.getImageLoadFunction = function () {\n        return this.imageLoadFunction_;\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {import(\"../size.js\").Size} size Size.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {Object} params Params.\n     * @return {string} Request URL.\n     * @private\n     */\n    ImageWMS.prototype.getRequestUrl_ = function (extent, size, pixelRatio, projection, params) {\n        assert(this.url_ !== undefined, 9); // `url` must be configured or set using `#setUrl()`\n        params[this.v13_ ? 'CRS' : 'SRS'] = projection.getCode();\n        if (!('STYLES' in this.params_)) {\n            params['STYLES'] = '';\n        }\n        if (pixelRatio != 1) {\n            switch (this.serverType_) {\n                case WMSServerType.GEOSERVER:\n                    var dpi = (90 * pixelRatio + 0.5) | 0;\n                    if ('FORMAT_OPTIONS' in params) {\n                        params['FORMAT_OPTIONS'] += ';dpi:' + dpi;\n                    }\n                    else {\n                        params['FORMAT_OPTIONS'] = 'dpi:' + dpi;\n                    }\n                    break;\n                case WMSServerType.MAPSERVER:\n                    params['MAP_RESOLUTION'] = 90 * pixelRatio;\n                    break;\n                case WMSServerType.CARMENTA_SERVER:\n                case WMSServerType.QGIS:\n                    params['DPI'] = 90 * pixelRatio;\n                    break;\n                default:\n                    assert(false, 8); // Unknown `serverType` configured\n                    break;\n            }\n        }\n        params['WIDTH'] = size[0];\n        params['HEIGHT'] = size[1];\n        var axisOrientation = projection.getAxisOrientation();\n        var bbox;\n        if (this.v13_ && axisOrientation.substr(0, 2) == 'ne') {\n            bbox = [extent[1], extent[0], extent[3], extent[2]];\n        }\n        else {\n            bbox = extent;\n        }\n        params['BBOX'] = bbox.join(',');\n        return appendParams(/** @type {string} */ (this.url_), params);\n    };\n    /**\n     * Return the URL used for this WMS source.\n     * @return {string|undefined} URL.\n     * @api\n     */\n    ImageWMS.prototype.getUrl = function () {\n        return this.url_;\n    };\n    /**\n     * Set the image load function of the source.\n     * @param {import(\"../Image.js\").LoadFunction} imageLoadFunction Image load function.\n     * @api\n     */\n    ImageWMS.prototype.setImageLoadFunction = function (imageLoadFunction) {\n        this.image_ = null;\n        this.imageLoadFunction_ = imageLoadFunction;\n        this.changed();\n    };\n    /**\n     * Set the URL to use for requests.\n     * @param {string|undefined} url URL.\n     * @api\n     */\n    ImageWMS.prototype.setUrl = function (url) {\n        if (url != this.url_) {\n            this.url_ = url;\n            this.image_ = null;\n            this.changed();\n        }\n    };\n    /**\n     * Update the user-provided params.\n     * @param {Object} params Params.\n     * @api\n     */\n    ImageWMS.prototype.updateParams = function (params) {\n        assign(this.params_, params);\n        this.updateV13_();\n        this.image_ = null;\n        this.changed();\n    };\n    /**\n     * @private\n     */\n    ImageWMS.prototype.updateV13_ = function () {\n        var version = this.params_['VERSION'] || DEFAULT_WMS_VERSION;\n        this.v13_ = compareVersions(version, '1.3') >= 0;\n    };\n    return ImageWMS;\n}(ImageSource));\nexport default ImageWMS;\n//# sourceMappingURL=ImageWMS.js.map","/**\n * @module ol/source/OSM\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport XYZ from './XYZ.js';\n/**\n * The attribution containing a link to the OpenStreetMap Copyright and License\n * page.\n * @const\n * @type {string}\n * @api\n */\nexport var ATTRIBUTION = '&#169; ' +\n    '<a href=\"https://www.openstreetmap.org/copyright\" target=\"_blank\">OpenStreetMap</a> ' +\n    'contributors.';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least the number of tiles in the viewport.\n * @property {null|string} [crossOrigin='anonymous'] The `crossOrigin` attribute for loaded images.  Note that\n * you must provide a `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {number} [maxZoom=19] Max zoom.\n * @property {boolean} [opaque=true] Whether the layer is opaque.\n * @property {number} [reprojectionErrorThreshold=0.5] Maximum allowed reprojection error (in pixels).\n * Higher values can increase reprojection performance, but decrease precision.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction] Optional function to load a tile given a URL. The default is\n * ```js\n * function(imageTile, src) {\n *   imageTile.getImage().src = src;\n * };\n * ```\n * @property {number} [transition=250] Duration of the opacity transition for rendering.\n * To disable the opacity transition, pass `transition: 0`.\n * @property {string} [url='https://{a-c}.tile.openstreetmap.org/{z}/{x}/{y}.png'] URL template.\n * Must include `{x}`, `{y}` or `{-y}`, and `{z}` placeholders.\n * @property {boolean} [wrapX=true] Whether to wrap the world horizontally.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @classdesc\n * Layer source for the OpenStreetMap tile server.\n * @api\n */\nvar OSM = /** @class */ (function (_super) {\n    __extends(OSM, _super);\n    /**\n     * @param {Options} [opt_options] Open Street Map options.\n     */\n    function OSM(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        var attributions;\n        if (options.attributions !== undefined) {\n            attributions = options.attributions;\n        }\n        else {\n            attributions = [ATTRIBUTION];\n        }\n        var crossOrigin = options.crossOrigin !== undefined ? options.crossOrigin : 'anonymous';\n        var url = options.url !== undefined\n            ? options.url\n            : 'https://{a-c}.tile.openstreetmap.org/{z}/{x}/{y}.png';\n        _this = _super.call(this, {\n            attributions: attributions,\n            attributionsCollapsible: false,\n            cacheSize: options.cacheSize,\n            crossOrigin: crossOrigin,\n            interpolate: interpolate,\n            maxZoom: options.maxZoom !== undefined ? options.maxZoom : 19,\n            opaque: options.opaque !== undefined ? options.opaque : true,\n            reprojectionErrorThreshold: options.reprojectionErrorThreshold,\n            tileLoadFunction: options.tileLoadFunction,\n            transition: options.transition,\n            url: url,\n            wrapX: options.wrapX,\n            zDirection: options.zDirection,\n        }) || this;\n        return _this;\n    }\n    return OSM;\n}(XYZ));\nexport default OSM;\n//# sourceMappingURL=OSM.js.map","/**\n * @module ol/source/TileWMS\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport { DEFAULT_WMS_VERSION } from './common.js';\nimport TileImage from './TileImage.js';\nimport WMSServerType from './WMSServerType.js';\nimport { appendParams } from '../uri.js';\nimport { assert } from '../asserts.js';\nimport { assign } from '../obj.js';\nimport { buffer, createEmpty } from '../extent.js';\nimport { buffer as bufferSize, scale as scaleSize, toSize } from '../size.js';\nimport { calculateSourceResolution } from '../reproj.js';\nimport { compareVersions } from '../string.js';\nimport { get as getProjection, transform, transformExtent } from '../proj.js';\nimport { modulo } from '../math.js';\nimport { hash as tileCoordHash } from '../tilecoord.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least the number of tiles in the viewport.\n * @property {null|string} [crossOrigin] The `crossOrigin` attribute for loaded images.  Note that\n * you must provide a `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {Object<string,*>} params WMS request parameters.\n * At least a `LAYERS` param is required. `STYLES` is\n * `''` by default. `VERSION` is `1.3.0` by default. `WIDTH`, `HEIGHT`, `BBOX`\n * and `CRS` (`SRS` for WMS version < 1.3.0) will be set dynamically.\n * @property {number} [gutter=0]\n * The size in pixels of the gutter around image tiles to ignore. By setting\n * this property to a non-zero value, images will be requested that are wider\n * and taller than the tile size by a value of `2 x gutter`.\n * Using a non-zero value allows artifacts of rendering at tile edges to be\n * ignored. If you control the WMS service it is recommended to address\n * \"artifacts at tile edges\" issues by properly configuring the WMS service. For\n * example, MapServer has a `tile_map_edge_buffer` configuration parameter for\n * this. See https://mapserver.org/output/tile_mode.html.\n * @property {boolean} [hidpi=true] Use the `ol/Map#pixelRatio` value when requesting\n * the image from the remote server.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection. Default is the view projection.\n * @property {number} [reprojectionErrorThreshold=0.5] Maximum allowed reprojection error (in pixels).\n * Higher values can increase reprojection performance, but decrease precision.\n * @property {typeof import(\"../ImageTile.js\").default} [tileClass] Class used to instantiate image tiles.\n * Default is {@link module:ol/ImageTile~ImageTile}.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] Tile grid. Base this on the resolutions,\n * tilesize and extent supported by the server.\n * If this is not defined, a default grid will be used: if there is a projection\n * extent, the grid will be based on that; if not, a grid based on a global\n * extent with origin at 0,0 will be used..\n * @property {import(\"./WMSServerType.js\").default|string} [serverType]\n * The type of the remote WMS server. Currently only used when `hidpi` is\n * `true`.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction] Optional function to load a tile given a URL. The default is\n * ```js\n * function(imageTile, src) {\n *   imageTile.getImage().src = src;\n * };\n * ```\n * @property {string} [url] WMS service URL.\n * @property {Array<string>} [urls] WMS service urls.\n * Use this instead of `url` when the WMS supports multiple urls for GetMap requests.\n * @property {boolean} [wrapX=true] Whether to wrap the world horizontally.\n * When set to `false`, only one world\n * will be rendered. When `true`, tiles will be requested for one world only,\n * but they will be wrapped horizontally to render multiple worlds.\n * @property {number} [transition] Duration of the opacity transition for rendering.\n * To disable the opacity transition, pass `transition: 0`.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @classdesc\n * Layer source for tile data from WMS servers.\n * @api\n */\nvar TileWMS = /** @class */ (function (_super) {\n    __extends(TileWMS, _super);\n    /**\n     * @param {Options} [opt_options] Tile WMS options.\n     */\n    function TileWMS(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : /** @type {Options} */ ({});\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        var params = options.params || {};\n        var transparent = 'TRANSPARENT' in params ? params['TRANSPARENT'] : true;\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            attributionsCollapsible: options.attributionsCollapsible,\n            cacheSize: options.cacheSize,\n            crossOrigin: options.crossOrigin,\n            interpolate: interpolate,\n            opaque: !transparent,\n            projection: options.projection,\n            reprojectionErrorThreshold: options.reprojectionErrorThreshold,\n            tileClass: options.tileClass,\n            tileGrid: options.tileGrid,\n            tileLoadFunction: options.tileLoadFunction,\n            url: options.url,\n            urls: options.urls,\n            wrapX: options.wrapX !== undefined ? options.wrapX : true,\n            transition: options.transition,\n            zDirection: options.zDirection,\n        }) || this;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.gutter_ = options.gutter !== undefined ? options.gutter : 0;\n        /**\n         * @private\n         * @type {!Object}\n         */\n        _this.params_ = params;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.v13_ = true;\n        /**\n         * @private\n         * @type {import(\"./WMSServerType.js\").default|undefined}\n         */\n        _this.serverType_ =\n            /** @type {import(\"./WMSServerType.js\").default|undefined} */ (options.serverType);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.hidpi_ = options.hidpi !== undefined ? options.hidpi : true;\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        _this.tmpExtent_ = createEmpty();\n        _this.updateV13_();\n        _this.setKey(_this.getKeyForParams_());\n        return _this;\n    }\n    /**\n     * Return the GetFeatureInfo URL for the passed coordinate, resolution, and\n     * projection. Return `undefined` if the GetFeatureInfo URL cannot be\n     * constructed.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {number} resolution Resolution.\n     * @param {import(\"../proj.js\").ProjectionLike} projection Projection.\n     * @param {!Object} params GetFeatureInfo params. `INFO_FORMAT` at least should\n     *     be provided. If `QUERY_LAYERS` is not provided then the layers specified\n     *     in the `LAYERS` parameter will be used. `VERSION` should not be\n     *     specified here.\n     * @return {string|undefined} GetFeatureInfo URL.\n     * @api\n     */\n    TileWMS.prototype.getFeatureInfoUrl = function (coordinate, resolution, projection, params) {\n        var projectionObj = getProjection(projection);\n        var sourceProjectionObj = this.getProjection();\n        var tileGrid = this.getTileGrid();\n        if (!tileGrid) {\n            tileGrid = this.getTileGridForProjection(projectionObj);\n        }\n        var z = tileGrid.getZForResolution(resolution, this.zDirection);\n        var tileCoord = tileGrid.getTileCoordForCoordAndZ(coordinate, z);\n        if (tileGrid.getResolutions().length <= tileCoord[0]) {\n            return undefined;\n        }\n        var tileResolution = tileGrid.getResolution(tileCoord[0]);\n        var tileExtent = tileGrid.getTileCoordExtent(tileCoord, this.tmpExtent_);\n        var tileSize = toSize(tileGrid.getTileSize(tileCoord[0]), this.tmpSize);\n        var gutter = this.gutter_;\n        if (gutter !== 0) {\n            tileSize = bufferSize(tileSize, gutter, this.tmpSize);\n            tileExtent = buffer(tileExtent, tileResolution * gutter, tileExtent);\n        }\n        if (sourceProjectionObj && sourceProjectionObj !== projectionObj) {\n            tileResolution = calculateSourceResolution(sourceProjectionObj, projectionObj, coordinate, tileResolution);\n            tileExtent = transformExtent(tileExtent, projectionObj, sourceProjectionObj);\n            coordinate = transform(coordinate, projectionObj, sourceProjectionObj);\n        }\n        var baseParams = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetFeatureInfo',\n            'FORMAT': 'image/png',\n            'TRANSPARENT': true,\n            'QUERY_LAYERS': this.params_['LAYERS'],\n        };\n        assign(baseParams, this.params_, params);\n        var x = Math.floor((coordinate[0] - tileExtent[0]) / tileResolution);\n        var y = Math.floor((tileExtent[3] - coordinate[1]) / tileResolution);\n        baseParams[this.v13_ ? 'I' : 'X'] = x;\n        baseParams[this.v13_ ? 'J' : 'Y'] = y;\n        return this.getRequestUrl_(tileCoord, tileSize, tileExtent, 1, sourceProjectionObj || projectionObj, baseParams);\n    };\n    /**\n     * Return the GetLegendGraphic URL, optionally optimized for the passed\n     * resolution and possibly including any passed specific parameters. Returns\n     * `undefined` if the GetLegendGraphic URL cannot be constructed.\n     *\n     * @param {number} [resolution] Resolution. If set to undefined, `SCALE`\n     *     will not be calculated and included in URL.\n     * @param {Object} [params] GetLegendGraphic params. If `LAYER` is set, the\n     *     request is generated for this wms layer, else it will try to use the\n     *     configured wms layer. Default `FORMAT` is `image/png`.\n     *     `VERSION` should not be specified here.\n     * @return {string|undefined} GetLegendGraphic URL.\n     * @api\n     */\n    TileWMS.prototype.getLegendUrl = function (resolution, params) {\n        if (this.urls[0] === undefined) {\n            return undefined;\n        }\n        var baseParams = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetLegendGraphic',\n            'FORMAT': 'image/png',\n        };\n        if (params === undefined || params['LAYER'] === undefined) {\n            var layers = this.params_.LAYERS;\n            var isSingleLayer = !Array.isArray(layers) || layers.length === 1;\n            if (!isSingleLayer) {\n                return undefined;\n            }\n            baseParams['LAYER'] = layers;\n        }\n        if (resolution !== undefined) {\n            var mpu = this.getProjection()\n                ? this.getProjection().getMetersPerUnit()\n                : 1;\n            var pixelSize = 0.00028;\n            baseParams['SCALE'] = (resolution * mpu) / pixelSize;\n        }\n        assign(baseParams, params);\n        return appendParams(/** @type {string} */ (this.urls[0]), baseParams);\n    };\n    /**\n     * @return {number} Gutter.\n     */\n    TileWMS.prototype.getGutter = function () {\n        return this.gutter_;\n    };\n    /**\n     * Get the user-provided params, i.e. those passed to the constructor through\n     * the \"params\" option, and possibly updated using the updateParams method.\n     * @return {Object} Params.\n     * @api\n     */\n    TileWMS.prototype.getParams = function () {\n        return this.params_;\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"../size.js\").Size} tileSize Tile size.\n     * @param {import(\"../extent.js\").Extent} tileExtent Tile extent.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {Object} params Params.\n     * @return {string|undefined} Request URL.\n     * @private\n     */\n    TileWMS.prototype.getRequestUrl_ = function (tileCoord, tileSize, tileExtent, pixelRatio, projection, params) {\n        var urls = this.urls;\n        if (!urls) {\n            return undefined;\n        }\n        params['WIDTH'] = tileSize[0];\n        params['HEIGHT'] = tileSize[1];\n        params[this.v13_ ? 'CRS' : 'SRS'] = projection.getCode();\n        if (!('STYLES' in this.params_)) {\n            params['STYLES'] = '';\n        }\n        if (pixelRatio != 1) {\n            switch (this.serverType_) {\n                case WMSServerType.GEOSERVER:\n                    var dpi = (90 * pixelRatio + 0.5) | 0;\n                    if ('FORMAT_OPTIONS' in params) {\n                        params['FORMAT_OPTIONS'] += ';dpi:' + dpi;\n                    }\n                    else {\n                        params['FORMAT_OPTIONS'] = 'dpi:' + dpi;\n                    }\n                    break;\n                case WMSServerType.MAPSERVER:\n                    params['MAP_RESOLUTION'] = 90 * pixelRatio;\n                    break;\n                case WMSServerType.CARMENTA_SERVER:\n                case WMSServerType.QGIS:\n                    params['DPI'] = 90 * pixelRatio;\n                    break;\n                default:\n                    assert(false, 52); // Unknown `serverType` configured\n                    break;\n            }\n        }\n        var axisOrientation = projection.getAxisOrientation();\n        var bbox = tileExtent;\n        if (this.v13_ && axisOrientation.substr(0, 2) == 'ne') {\n            var tmp = void 0;\n            tmp = tileExtent[0];\n            bbox[0] = tileExtent[1];\n            bbox[1] = tmp;\n            tmp = tileExtent[2];\n            bbox[2] = tileExtent[3];\n            bbox[3] = tmp;\n        }\n        params['BBOX'] = bbox.join(',');\n        var url;\n        if (urls.length == 1) {\n            url = urls[0];\n        }\n        else {\n            var index = modulo(tileCoordHash(tileCoord), urls.length);\n            url = urls[index];\n        }\n        return appendParams(url, params);\n    };\n    /**\n     * Get the tile pixel ratio for this source.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Tile pixel ratio.\n     */\n    TileWMS.prototype.getTilePixelRatio = function (pixelRatio) {\n        return !this.hidpi_ || this.serverType_ === undefined ? 1 : pixelRatio;\n    };\n    /**\n     * @private\n     * @return {string} The key for the current params.\n     */\n    TileWMS.prototype.getKeyForParams_ = function () {\n        var i = 0;\n        var res = [];\n        for (var key in this.params_) {\n            res[i++] = key + '-' + this.params_[key];\n        }\n        return res.join('/');\n    };\n    /**\n     * Update the user-provided params.\n     * @param {Object} params Params.\n     * @api\n     */\n    TileWMS.prototype.updateParams = function (params) {\n        assign(this.params_, params);\n        this.updateV13_();\n        this.setKey(this.getKeyForParams_());\n    };\n    /**\n     * @private\n     */\n    TileWMS.prototype.updateV13_ = function () {\n        var version = this.params_['VERSION'] || DEFAULT_WMS_VERSION;\n        this.v13_ = compareVersions(version, '1.3') >= 0;\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord The tile coordinate\n     * @param {number} pixelRatio The pixel ratio\n     * @param {import(\"../proj/Projection.js\").default} projection The projection\n     * @return {string|undefined} The tile URL\n     * @override\n     */\n    TileWMS.prototype.tileUrlFunction = function (tileCoord, pixelRatio, projection) {\n        var tileGrid = this.getTileGrid();\n        if (!tileGrid) {\n            tileGrid = this.getTileGridForProjection(projection);\n        }\n        if (tileGrid.getResolutions().length <= tileCoord[0]) {\n            return undefined;\n        }\n        if (pixelRatio != 1 && (!this.hidpi_ || this.serverType_ === undefined)) {\n            pixelRatio = 1;\n        }\n        var tileResolution = tileGrid.getResolution(tileCoord[0]);\n        var tileExtent = tileGrid.getTileCoordExtent(tileCoord, this.tmpExtent_);\n        var tileSize = toSize(tileGrid.getTileSize(tileCoord[0]), this.tmpSize);\n        var gutter = this.gutter_;\n        if (gutter !== 0) {\n            tileSize = bufferSize(tileSize, gutter, this.tmpSize);\n            tileExtent = buffer(tileExtent, tileResolution * gutter, tileExtent);\n        }\n        if (pixelRatio != 1) {\n            tileSize = scaleSize(tileSize, pixelRatio, this.tmpSize);\n        }\n        var baseParams = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetMap',\n            'FORMAT': 'image/png',\n            'TRANSPARENT': true,\n        };\n        assign(baseParams, this.params_);\n        return this.getRequestUrl_(tileCoord, tileSize, tileExtent, pixelRatio, projection, baseParams);\n    };\n    return TileWMS;\n}(TileImage));\nexport default TileWMS;\n//# sourceMappingURL=TileWMS.js.map","export {Collection, Map, View, Feature } from 'ol';\n\nimport { ellipsoidToEgm96, egm96ToEllipsoid } from 'egm96-universal'\nlet egm96_universal = {\n\tellipsoidToEgm96: ellipsoidToEgm96,\n\tegm96ToEllipsoid: egm96ToEllipsoid,\n};\nexport { egm96_universal };\n\n// disable this, it's really cumbersome and not being used\n// needs dep \"ol-mapbox-style\": \"^6.3.2\"\n// import { applyStyle as mbApplyStyle } from 'ol-mapbox-style';\n// export { mbApplyStyle };\n\nimport { unByKey } from 'ol/Observable';\nimport { Observable } from 'ol';\nObservable.unByKey = unByKey;\n\nexport { Observable };\n\nimport { Control, Zoom, Attribution, ScaleLine} from 'ol/control';\nimport LayerSwitcher from 'ol-layerswitcher';\nlet control = { Control, Zoom, Attribution, ScaleLine, LayerSwitcher };\nexport { control };\n\nimport * as interaction from 'ol/interaction';\nexport { interaction };\n\nimport * as sphere from 'ol/sphere';\nexport { sphere };\n\nimport { GeoJSON, KML, MVT } from 'ol/format';\nlet format = {\n\tGeoJSON: GeoJSON,\n\tKML: KML,\n\tMVT: MVT,\n};\nexport { format };\n\nimport { Tile, Group, Vector as VectorLayer, VectorTile, WebGLPoints, Heatmap, Image } 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A.minX=Math.min(A.minX,B.minX),A.minY=Math.min(A.minY,B.minY),A.maxX=Math.max(A.maxX,B.maxX),A.maxY=Math.max(A.maxY,B.maxY),A}function jg(A,B){return A.minX-B.minX}function yg(A,B){return A.minY-B.minY}function kg(A){return(A.maxX-A.minX)*(A.maxY-A.minY)}function pg(A){return A.maxX-A.minX+(A.maxY-A.minY)}function dg(A,B){const v=Math.max(A.minX,B.minX),f=Math.max(A.minY,B.minY),w=Math.min(A.maxX,B.maxX),g=Math.min(A.maxY,B.maxY);return Math.max(0,w-v)*Math.max(0,g-f)}function Jg(A,B){return A.minX<=B.minX&&A.minY<=B.minY&&B.maxX<=A.maxX&&B.maxY<=A.maxY}function Kg(A,B){return B.minX<=A.maxX&&B.minY<=A.maxY&&B.maxX>=A.minX&&B.maxY>=A.minY}function Sg(A){return{children:A,height:1,leaf:!0,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0}}function Ng(A,B,v,f,w){const g=[B,v];for(;g.length;){if((v=g.pop())-(B=g.pop())<=f)continue;const P=B+Math.ceil((v-B)/f/2)*f;Tg(A,P,B,v,w),g.push(B,P,P,v)}}var mg=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),Vg="renderOrder",Wg=function(A){function B(B){var v=this,f=B||{},w=u({},f);return delete w.style,delete w.renderBuffer,delete w.updateWhileAnimating,delete w.updateWhileInteracting,(v=A.call(this,w)||this).declutter_=void 0!==f.declutter&&f.declutter,v.renderBuffer_=void 0!==f.renderBuffer?f.renderBuffer:100,v.style_=null,v.styleFunction_=void 0,v.setStyle(f.style),v.updateWhileAnimating_=void 0!==f.updateWhileAnimating&&f.updateWhileAnimating,v.updateWhileInteracting_=void 0!==f.updateWhileInteracting&&f.updateWhileInteracting,v}return mg(B,A),B.prototype.getDeclutter=function(){return this.declutter_},B.prototype.getFeatures=function(B){return A.prototype.getFeatures.call(this,B)},B.prototype.getRenderBuffer=function(){return this.renderBuffer_},B.prototype.getRenderOrder=function(){return this.get(Vg)},B.prototype.getStyle=function(){return this.style_},B.prototype.getStyleFunction=function(){return this.styleFunction_},B.prototype.getUpdateWhileAnimating=function(){return this.updateWhileAnimating_},B.prototype.getUpdateWhileInteracting=function(){return this.updateWhileInteracting_},B.prototype.renderDeclutter=function(A){A.declutterTree||(A.declutterTree=new Rg(9)),this.getRenderer().renderDeclutter(A)},B.prototype.setRenderOrder=function(A){this.set(Vg,A)},B.prototype.setStyle=function(A){this.style_=void 0!==A?A:Bg,this.styleFunction_=null===A?void 0:function(A){var B;if("function"==typeof A)B=A;else{var v;Array.isArray(A)?v=A:(fA("function"==typeof A.getZIndex,41),v=[A]),B=function(){return v}}return B}(this.style_),this.changed()},B}(Mg),Zg={BEGIN_GEOMETRY:0,BEGIN_PATH:1,CIRCLE:2,CLOSE_PATH:3,CUSTOM:4,DRAW_CHARS:5,DRAW_IMAGE:6,END_GEOMETRY:7,FILL:8,MOVE_TO_LINE_TO:9,SET_FILL_STYLE:10,SET_STROKE_STYLE:11,STROKE:12},qg=[Zg.FILL],_g=[Zg.STROKE],$g=[Zg.BEGIN_PATH],AP=[Zg.CLOSE_PATH],BP=Zg,vP=function(){function A(){}return A.prototype.drawCustom=function(A,B,v,f){},A.prototype.drawGeometry=function(A){},A.prototype.setStyle=function(A){},A.prototype.drawCircle=function(A,B){},A.prototype.drawFeature=function(A,B){},A.prototype.drawGeometryCollection=function(A,B){},A.prototype.drawLineString=function(A,B){},A.prototype.drawMultiLineString=function(A,B){},A.prototype.drawMultiPoint=function(A,B){},A.prototype.drawMultiPolygon=function(A,B){},A.prototype.drawPoint=function(A,B){},A.prototype.drawPolygon=function(A,B){},A.prototype.drawText=function(A,B){},A.prototype.setFillStrokeStyle=function(A,B){},A.prototype.setImageStyle=function(A,B){},A.prototype.setTextStyle=function(A,B){},A}(),fP=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),wP=function(A){function B(B,v,f,w){var g=A.call(this)||this;return g.tolerance=B,g.maxExtent=v,g.pixelRatio=w,g.maxLineWidth=0,g.resolution=f,g.beginGeometryInstruction1_=null,g.beginGeometryInstruction2_=null,g.bufferedMaxExtent_=null,g.instructions=[],g.coordinates=[],g.tmpCoordinate_=[],g.hitDetectionInstructions=[],g.state={},g}return fP(B,A),B.prototype.applyPixelRatio=function(A){var B=this.pixelRatio;return 1==B?A:A.map((function(A){return A*B}))},B.prototype.appendFlatPointCoordinates=function(A,B){for(var v=this.getBufferedMaxExtent(),f=this.tmpCoordinate_,w=this.coordinates,g=w.length,P=0,Q=A.length;P<Q;P+=B)f[0]=A[P],f[1]=A[P+1],BB(v,f)&&(w[g++]=f[0],w[g++]=f[1]);return g},B.prototype.appendFlatLineCoordinates=function(A,B,v,f,w,g){var P=this.coordinates,Q=P.length,C=this.getBufferedMaxExtent();g&&(B+=f);var t,e,D,E=A[B],r=A[B+1],n=this.tmpCoordinate_,o=!0;for(t=B+f;t<v;t+=f)n[0]=A[t],n[1]=A[t+1],(D=wB(C,n))!==e?(o&&(P[Q++]=E,P[Q++]=r,o=!1),P[Q++]=n[0],P[Q++]=n[1]):D===NA?(P[Q++]=n[0],P[Q++]=n[1],o=!1):o=!0,E=n[0],r=n[1],e=D;return(w&&o||t===B+f)&&(P[Q++]=E,P[Q++]=r),Q},B.prototype.drawCustomCoordinates_=function(A,B,v,f,w){for(var g=0,P=v.length;g<P;++g){var Q=v[g],C=this.appendFlatLineCoordinates(A,B,Q,f,!1,!1);w.push(C),B=Q}return B},B.prototype.drawCustom=function(A,B,v,f){this.beginGeometry(A,B);var w,g,P,Q,C,t=A.getType(),e=A.getStride(),D=this.coordinates.length;switch(t){case FA:w=A.getOrientedFlatCoordinates(),Q=[];var E=A.getEndss();C=0;for(var r=0,n=E.length;r<n;++r){var o=[];C=this.drawCustomCoordinates_(w,C,E[r],e,o),Q.push(o)}this.instructions.push([BP.CUSTOM,D,Q,A,v,ef]),this.hitDetectionInstructions.push([BP.CUSTOM,D,Q,A,f||v,ef]);break;case nA:case sA:P=[],w=t==nA?A.getOrientedFlatCoordinates():A.getFlatCoordinates(),C=this.drawCustomCoordinates_(w,0,A.getEnds(),e,P),this.instructions.push([BP.CUSTOM,D,P,A,v,tf]),this.hitDetectionInstructions.push([BP.CUSTOM,D,P,A,f||v,tf]);break;case EA:case uA:w=A.getFlatCoordinates(),g=this.appendFlatLineCoordinates(w,0,w.length,e,!1,!1),this.instructions.push([BP.CUSTOM,D,g,A,v,Cf]),this.hitDetectionInstructions.push([BP.CUSTOM,D,g,A,f||v,Cf]);break;case oA:w=A.getFlatCoordinates(),(g=this.appendFlatPointCoordinates(w,e))>D&&(this.instructions.push([BP.CUSTOM,D,g,A,v,Cf]),this.hitDetectionInstructions.push([BP.CUSTOM,D,g,A,f||v,Cf]));break;case DA:w=A.getFlatCoordinates(),this.coordinates.push(w[0],w[1]),g=this.coordinates.length,this.instructions.push([BP.CUSTOM,D,g,A,v]),this.hitDetectionInstructions.push([BP.CUSTOM,D,g,A,f||v])}this.endGeometry(B)},B.prototype.beginGeometry=function(A,B){this.beginGeometryInstruction1_=[BP.BEGIN_GEOMETRY,B,0,A],this.instructions.push(this.beginGeometryInstruction1_),this.beginGeometryInstruction2_=[BP.BEGIN_GEOMETRY,B,0,A],this.hitDetectionInstructions.push(this.beginGeometryInstruction2_)},B.prototype.finish=function(){return{instructions:this.instructions,hitDetectionInstructions:this.hitDetectionInstructions,coordinates:this.coordinates}},B.prototype.reverseHitDetectionInstructions=function(){var A,B=this.hitDetectionInstructions;B.reverse();var v,f,w=B.length,g=-1;for(A=0;A<w;++A)(f=(v=B[A])[0])==BP.END_GEOMETRY?g=A:f==BP.BEGIN_GEOMETRY&&(v[2]=A,r(this.hitDetectionInstructions,g,A),g=-1)},B.prototype.setFillStrokeStyle=function(A,B){var v=this.state;if(A){var f=A.getColor();v.fillStyle=ow(f||Mw)}else v.fillStyle=void 0;if(B){var w=B.getColor();v.strokeStyle=ow(w||Xw);var g=B.getLineCap();v.lineCap=void 0!==g?g:Tw;var P=B.getLineDash();v.lineDash=P?P.slice():xw;var Q=B.getLineDashOffset();v.lineDashOffset=Q||0;var C=B.getLineJoin();v.lineJoin=void 0!==C?C:Uw;var t=B.getWidth();v.lineWidth=void 0!==t?t:1;var e=B.getMiterLimit();v.miterLimit=void 0!==e?e:10,v.lineWidth>this.maxLineWidth&&(this.maxLineWidth=v.lineWidth,this.bufferedMaxExtent_=null)}else v.strokeStyle=void 0,v.lineCap=void 0,v.lineDash=null,v.lineDashOffset=void 0,v.lineJoin=void 0,v.lineWidth=void 0,v.miterLimit=void 0},B.prototype.createFill=function(A){var B=A.fillStyle,v=[BP.SET_FILL_STYLE,B];return"string"!=typeof B&&v.push(!0),v},B.prototype.applyStroke=function(A){this.instructions.push(this.createStroke(A))},B.prototype.createStroke=function(A){return[BP.SET_STROKE_STYLE,A.strokeStyle,A.lineWidth*this.pixelRatio,A.lineCap,A.lineJoin,A.miterLimit,this.applyPixelRatio(A.lineDash),A.lineDashOffset*this.pixelRatio]},B.prototype.updateFillStyle=function(A,B){var v=A.fillStyle;"string"==typeof v&&A.currentFillStyle==v||(void 0!==v&&this.instructions.push(B.call(this,A)),A.currentFillStyle=v)},B.prototype.updateStrokeStyle=function(A,B){var v=A.strokeStyle,f=A.lineCap,w=A.lineDash,g=A.lineDashOffset,P=A.lineJoin,Q=A.lineWidth,C=A.miterLimit;(A.currentStrokeStyle!=v||A.currentLineCap!=f||w!=A.currentLineDash&&!o(A.currentLineDash,w)||A.currentLineDashOffset!=g||A.currentLineJoin!=P||A.currentLineWidth!=Q||A.currentMiterLimit!=C)&&(void 0!==v&&B.call(this,A),A.currentStrokeStyle=v,A.currentLineCap=f,A.currentLineDash=w,A.currentLineDashOffset=g,A.currentLineJoin=P,A.currentLineWidth=Q,A.currentMiterLimit=C)},B.prototype.endGeometry=function(A){this.beginGeometryInstruction1_[2]=this.instructions.length,this.beginGeometryInstruction1_=null,this.beginGeometryInstruction2_[2]=this.hitDetectionInstructions.length,this.beginGeometryInstruction2_=null;var B=[BP.END_GEOMETRY,A];this.instructions.push(B),this.hitDetectionInstructions.push(B)},B.prototype.getBufferedMaxExtent=function(){if(!this.bufferedMaxExtent_&&(this.bufferedMaxExtent_=$A(this.maxExtent),this.maxLineWidth>0)){var A=this.resolution*(this.maxLineWidth+1)/2;_A(this.bufferedMaxExtent_,A,this.bufferedMaxExtent_)}return this.bufferedMaxExtent_},B}(vP),gP=wP,PP=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),QP=function(A){function B(B,v,f,w){var g=A.call(this,B,v,f,w)||this;return g.hitDetectionImage_=null,g.image_=null,g.imagePixelRatio_=void 0,g.anchorX_=void 0,g.anchorY_=void 0,g.height_=void 0,g.opacity_=void 0,g.originX_=void 0,g.originY_=void 0,g.rotateWithView_=void 0,g.rotation_=void 0,g.scale_=void 0,g.width_=void 0,g.declutterImageWithText_=void 0,g}return PP(B,A),B.prototype.drawPoint=function(A,B){if(this.image_){this.beginGeometry(A,B);var v=A.getFlatCoordinates(),f=A.getStride(),w=this.coordinates.length,g=this.appendFlatPointCoordinates(v,f);this.instructions.push([BP.DRAW_IMAGE,w,g,this.image_,this.anchorX_*this.imagePixelRatio_,this.anchorY_*this.imagePixelRatio_,Math.ceil(this.height_*this.imagePixelRatio_),this.opacity_,this.originX_,this.originY_,this.rotateWithView_,this.rotation_,[this.scale_[0]*this.pixelRatio/this.imagePixelRatio_,this.scale_[1]*this.pixelRatio/this.imagePixelRatio_],Math.ceil(this.width_*this.imagePixelRatio_),this.declutterImageWithText_]),this.hitDetectionInstructions.push([BP.DRAW_IMAGE,w,g,this.hitDetectionImage_,this.anchorX_,this.anchorY_,this.height_,this.opacity_,this.originX_,this.originY_,this.rotateWithView_,this.rotation_,this.scale_,this.width_,this.declutterImageWithText_]),this.endGeometry(B)}},B.prototype.drawMultiPoint=function(A,B){if(this.image_){this.beginGeometry(A,B);var v=A.getFlatCoordinates(),f=A.getStride(),w=this.coordinates.length,g=this.appendFlatPointCoordinates(v,f);this.instructions.push([BP.DRAW_IMAGE,w,g,this.image_,this.anchorX_*this.imagePixelRatio_,this.anchorY_*this.imagePixelRatio_,Math.ceil(this.height_*this.imagePixelRatio_),this.opacity_,this.originX_,this.originY_,this.rotateWithView_,this.rotation_,[this.scale_[0]*this.pixelRatio/this.imagePixelRatio_,this.scale_[1]*this.pixelRatio/this.imagePixelRatio_],Math.ceil(this.width_*this.imagePixelRatio_),this.declutterImageWithText_]),this.hitDetectionInstructions.push([BP.DRAW_IMAGE,w,g,this.hitDetectionImage_,this.anchorX_,this.anchorY_,this.height_,this.opacity_,this.originX_,this.originY_,this.rotateWithView_,this.rotation_,this.scale_,this.width_,this.declutterImageWithText_]),this.endGeometry(B)}},B.prototype.finish=function(){return this.reverseHitDetectionInstructions(),this.anchorX_=void 0,this.anchorY_=void 0,this.hitDetectionImage_=null,this.image_=null,this.imagePixelRatio_=void 0,this.height_=void 0,this.scale_=void 0,this.opacity_=void 0,this.originX_=void 0,this.originY_=void 0,this.rotateWithView_=void 0,this.rotation_=void 0,this.width_=void 0,A.prototype.finish.call(this)},B.prototype.setImageStyle=function(A,B){var v=A.getAnchor(),f=A.getSize(),w=A.getHitDetectionImage(),g=A.getImage(this.pixelRatio),P=A.getOrigin();this.imagePixelRatio_=A.getPixelRatio(this.pixelRatio),this.anchorX_=v[0],this.anchorY_=v[1],this.hitDetectionImage_=w,this.image_=g,this.height_=f[1],this.opacity_=A.getOpacity(),this.originX_=P[0]*this.imagePixelRatio_,this.originY_=P[1]*this.imagePixelRatio_,this.rotateWithView_=A.getRotateWithView(),this.rotation_=A.getRotation(),this.scale_=A.getScaleArray(),this.width_=f[0],this.declutterImageWithText_=B},B}(gP),CP=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),tP=function(A){function B(B,v,f,w){return A.call(this,B,v,f,w)||this}return CP(B,A),B.prototype.drawFlatCoordinates_=function(A,B,v,f){var w=this.coordinates.length,g=this.appendFlatLineCoordinates(A,B,v,f,!1,!1),P=[BP.MOVE_TO_LINE_TO,w,g];return this.instructions.push(P),this.hitDetectionInstructions.push(P),v},B.prototype.drawLineString=function(A,B){var v=this.state,f=v.strokeStyle,w=v.lineWidth;if(void 0!==f&&void 0!==w){this.updateStrokeStyle(v,this.applyStroke),this.beginGeometry(A,B),this.hitDetectionInstructions.push([BP.SET_STROKE_STYLE,v.strokeStyle,v.lineWidth,v.lineCap,v.lineJoin,v.miterLimit,xw,0],$g);var g=A.getFlatCoordinates(),P=A.getStride();this.drawFlatCoordinates_(g,0,g.length,P),this.hitDetectionInstructions.push(_g),this.endGeometry(B)}},B.prototype.drawMultiLineString=function(A,B){var v=this.state,f=v.strokeStyle,w=v.lineWidth;if(void 0!==f&&void 0!==w){this.updateStrokeStyle(v,this.applyStroke),this.beginGeometry(A,B),this.hitDetectionInstructions.push([BP.SET_STROKE_STYLE,v.strokeStyle,v.lineWidth,v.lineCap,v.lineJoin,v.miterLimit,v.lineDash,v.lineDashOffset],$g);for(var g=A.getEnds(),P=A.getFlatCoordinates(),Q=A.getStride(),C=0,t=0,e=g.length;t<e;++t)C=this.drawFlatCoordinates_(P,C,g[t],Q);this.hitDetectionInstructions.push(_g),this.endGeometry(B)}},B.prototype.finish=function(){var B=this.state;return null!=B.lastStroke&&B.lastStroke!=this.coordinates.length&&this.instructions.push(_g),this.reverseHitDetectionInstructions(),this.state=null,A.prototype.finish.call(this)},B.prototype.applyStroke=function(B){null!=B.lastStroke&&B.lastStroke!=this.coordinates.length&&(this.instructions.push(_g),B.lastStroke=this.coordinates.length),B.lastStroke=0,A.prototype.applyStroke.call(this,B),this.instructions.push($g)},B}(gP),eP=tP,DP=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),EP=function(A){function B(B,v,f,w){return A.call(this,B,v,f,w)||this}return DP(B,A),B.prototype.drawFlatCoordinatess_=function(A,B,v,f){var w=this.state,g=void 0!==w.fillStyle,P=void 0!==w.strokeStyle,Q=v.length;this.instructions.push($g),this.hitDetectionInstructions.push($g);for(var C=0;C<Q;++C){var t=v[C],e=this.coordinates.length,D=this.appendFlatLineCoordinates(A,B,t,f,!0,!P),E=[BP.MOVE_TO_LINE_TO,e,D];this.instructions.push(E),this.hitDetectionInstructions.push(E),P&&(this.instructions.push(AP),this.hitDetectionInstructions.push(AP)),B=t}return g&&(this.instructions.push(qg),this.hitDetectionInstructions.push(qg)),P&&(this.instructions.push(_g),this.hitDetectionInstructions.push(_g)),B},B.prototype.drawCircle=function(A,B){var v=this.state,f=v.fillStyle,w=v.strokeStyle;if(void 0!==f||void 0!==w){this.setFillStrokeStyles_(),this.beginGeometry(A,B),void 0!==v.fillStyle&&this.hitDetectionInstructions.push([BP.SET_FILL_STYLE,Mw]),void 0!==v.strokeStyle&&this.hitDetectionInstructions.push([BP.SET_STROKE_STYLE,v.strokeStyle,v.lineWidth,v.lineCap,v.lineJoin,v.miterLimit,v.lineDash,v.lineDashOffset]);var g=A.getFlatCoordinates(),P=A.getStride(),Q=this.coordinates.length;this.appendFlatLineCoordinates(g,0,g.length,P,!1,!1);var C=[BP.CIRCLE,Q];this.instructions.push($g,C),this.hitDetectionInstructions.push($g,C),void 0!==v.fillStyle&&(this.instructions.push(qg),this.hitDetectionInstructions.push(qg)),void 0!==v.strokeStyle&&(this.instructions.push(_g),this.hitDetectionInstructions.push(_g)),this.endGeometry(B)}},B.prototype.drawPolygon=function(A,B){var v=this.state,f=v.fillStyle,w=v.strokeStyle;if(void 0!==f||void 0!==w){this.setFillStrokeStyles_(),this.beginGeometry(A,B),void 0!==v.fillStyle&&this.hitDetectionInstructions.push([BP.SET_FILL_STYLE,Mw]),void 0!==v.strokeStyle&&this.hitDetectionInstructions.push([BP.SET_STROKE_STYLE,v.strokeStyle,v.lineWidth,v.lineCap,v.lineJoin,v.miterLimit,v.lineDash,v.lineDashOffset]);var g=A.getEnds(),P=A.getOrientedFlatCoordinates(),Q=A.getStride();this.drawFlatCoordinatess_(P,0,g,Q),this.endGeometry(B)}},B.prototype.drawMultiPolygon=function(A,B){var v=this.state,f=v.fillStyle,w=v.strokeStyle;if(void 0!==f||void 0!==w){this.setFillStrokeStyles_(),this.beginGeometry(A,B),void 0!==v.fillStyle&&this.hitDetectionInstructions.push([BP.SET_FILL_STYLE,Mw]),void 0!==v.strokeStyle&&this.hitDetectionInstructions.push([BP.SET_STROKE_STYLE,v.strokeStyle,v.lineWidth,v.lineCap,v.lineJoin,v.miterLimit,v.lineDash,v.lineDashOffset]);for(var g=A.getEndss(),P=A.getOrientedFlatCoordinates(),Q=A.getStride(),C=0,t=0,e=g.length;t<e;++t)C=this.drawFlatCoordinatess_(P,C,g[t],Q);this.endGeometry(B)}},B.prototype.finish=function(){this.reverseHitDetectionInstructions(),this.state=null;var B=this.tolerance;if(0!==B)for(var v=this.coordinates,f=0,w=v.length;f<w;++f)v[f]=gf(v[f],B);return A.prototype.finish.call(this)},B.prototype.setFillStrokeStyles_=function(){var A=this.state;void 0!==A.fillStyle&&this.updateFillStyle(A,this.createFill),void 0!==A.strokeStyle&&this.updateStrokeStyle(A,this.applyStroke)},B}(gP),rP=EP;function nP(A,B,v,f,w){var g,P,Q,C,t,e,D,E,r,n=v,o=v,s=0,F=0,i=v;for(g=v;g<f;g+=w){var u=B[g],H=B[g+1];void 0!==C&&(E=u-C,r=H-t,Q=Math.sqrt(E*E+r*r),void 0!==e&&(F+=P,Math.acos((e*E+D*r)/(P*Q))>A&&(F>s&&(s=F,n=i,o=g),F=0,i=g-w)),P=Q,e=E,D=r),C=u,t=H}return(F+=Q)>s?[i,g]:[n,o]}var oP=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),sP={left:0,end:0,center:.5,right:1,start:1,top:0,middle:.5,hanging:.2,alphabetic:.8,ideographic:.8,bottom:1},FP=function(A){function B(B,v,f,w){var g=A.call(this,B,v,f,w)||this;return g.labels_=null,g.text_="",g.textOffsetX_=0,g.textOffsetY_=0,g.textRotateWithView_=void 0,g.textRotation_=0,g.textFillState_=null,g.fillStates={},g.textStrokeState_=null,g.strokeStates={},g.textState_={},g.textStates={},g.textKey_="",g.fillKey_="",g.strokeKey_="",g.declutterImageWithText_=void 0,g}return oP(B,A),B.prototype.finish=function(){var B=A.prototype.finish.call(this);return B.textStates=this.textStates,B.fillStates=this.fillStates,B.strokeStates=this.strokeStates,B},B.prototype.drawText=function(A,B){var v=this.textFillState_,f=this.textStrokeState_,w=this.textState_;if(""!==this.text_&&w&&(v||f)){var g=this.coordinates,P=g.length,Q=A.getType(),C=null,t=A.getStride();if(w.placement!==Pg||Q!=EA&&Q!=sA&&Q!=nA&&Q!=FA){var e=w.overflow?null:[];switch(Q){case DA:case oA:C=A.getFlatCoordinates();break;case EA:C=A.getFlatMidpoint();break;case uA:C=A.getCenter();break;case sA:C=A.getFlatMidpoints(),t=2;break;case nA:C=A.getFlatInteriorPoint(),w.overflow||e.push(C[2]/this.resolution),t=3;break;case FA:var D=A.getFlatInteriorPoints();C=[];for(I=0,a=D.length;I<a;I+=3)w.overflow||e.push(D[I+2]/this.resolution),C.push(D[I],D[I+1]);if(0===C.length)return;t=2}if((x=this.appendFlatPointCoordinates(C,t))===P)return;if(e&&(x-P)/2!=C.length/t){var E=P/2;e=e.filter((function(A,B){var v=g[2*(E+B)]===C[B*t]&&g[2*(E+B)+1]===C[B*t+1];return v||--E,v}))}this.saveTextStates_(),(w.backgroundFill||w.backgroundStroke)&&(this.setFillStrokeStyle(w.backgroundFill,w.backgroundStroke),w.backgroundFill&&(this.updateFillStyle(this.state,this.createFill),this.hitDetectionInstructions.push(this.createFill(this.state))),w.backgroundStroke&&(this.updateStrokeStyle(this.state,this.applyStroke),this.hitDetectionInstructions.push(this.createStroke(this.state)))),this.beginGeometry(A,B);var r=w.padding;if(r!=Yw&&(w.scale[0]<0||w.scale[1]<0)){var n=w.padding[0],o=w.padding[1],s=w.padding[2],F=w.padding[3];w.scale[0]<0&&(o=-o,F=-F),w.scale[1]<0&&(n=-n,s=-s),r=[n,o,s,F]}var i=this.pixelRatio;this.instructions.push([BP.DRAW_IMAGE,P,x,null,NaN,NaN,NaN,1,0,0,this.textRotateWithView_,this.textRotation_,[1,1],NaN,this.declutterImageWithText_,r==Yw?Yw:r.map((function(A){return A*i})),!!w.backgroundFill,!!w.backgroundStroke,this.text_,this.textKey_,this.strokeKey_,this.fillKey_,this.textOffsetX_,this.textOffsetY_,e]);var u=1/i;this.hitDetectionInstructions.push([BP.DRAW_IMAGE,P,x,null,NaN,NaN,NaN,1,0,0,this.textRotateWithView_,this.textRotation_,[u,u],NaN,this.declutterImageWithText_,r,!!w.backgroundFill,!!w.backgroundStroke,this.text_,this.textKey_,this.strokeKey_,this.fillKey_,this.textOffsetX_,this.textOffsetY_,e]),this.endGeometry(B)}else{if(!hB(this.getBufferedMaxExtent(),A.getExtent()))return;var H=void 0;if(C=A.getFlatCoordinates(),Q==EA)H=[C.length];else if(Q==sA)H=A.getEnds();else if(Q==nA)H=A.getEnds().slice(0,1);else if(Q==FA){var c=A.getEndss();H=[];for(var I=0,a=c.length;I<a;++I)H.push(c[I][0])}this.beginGeometry(A,B);for(var L=w.textAlign,z=0,G=void 0,h=0,M=H.length;h<M;++h){if(null==L){var T=nP(w.maxAngle,C,z,H[h],t);z=T[0],G=T[1]}else G=H[h];for(var I=z;I<G;I+=t)g.push(C[I],C[I+1]);var x=g.length;z=H[h],this.drawChars_(P,x),P=x}this.endGeometry(B)}}},B.prototype.saveTextStates_=function(){var A=this.textStrokeState_,B=this.textState_,v=this.textFillState_,f=this.strokeKey_;A&&(f in this.strokeStates||(this.strokeStates[f]={strokeStyle:A.strokeStyle,lineCap:A.lineCap,lineDashOffset:A.lineDashOffset,lineWidth:A.lineWidth,lineJoin:A.lineJoin,miterLimit:A.miterLimit,lineDash:A.lineDash}));var w=this.textKey_;w in this.textStates||(this.textStates[w]={font:B.font,textAlign:B.textAlign||Rw,textBaseline:B.textBaseline||bw,scale:B.scale});var g=this.fillKey_;v&&(g in this.fillStates||(this.fillStates[g]={fillStyle:v.fillStyle}))},B.prototype.drawChars_=function(A,B){var v=this.textStrokeState_,f=this.textState_,w=this.strokeKey_,g=this.textKey_,P=this.fillKey_;this.saveTextStates_();var Q=this.pixelRatio,C=sP[f.textBaseline],t=this.textOffsetY_*Q,e=this.text_,D=v?v.lineWidth*Math.abs(f.scale[0])/2:0;this.instructions.push([BP.DRAW_CHARS,A,B,C,f.overflow,P,f.maxAngle,Q,t,w,D*Q,e,g,1]),this.hitDetectionInstructions.push([BP.DRAW_CHARS,A,B,C,f.overflow,P,f.maxAngle,1,t,w,D,e,g,1/Q])},B.prototype.setTextStyle=function(A,B){var v,w,g;if(A){var P=A.getFill();P?((w=this.textFillState_)||(w={},this.textFillState_=w),w.fillStyle=ow(P.getColor()||Mw)):(w=null,this.textFillState_=w);var Q=A.getStroke();if(Q){(g=this.textStrokeState_)||(g={},this.textStrokeState_=g);var C=Q.getLineDash(),t=Q.getLineDashOffset(),e=Q.getWidth(),D=Q.getMiterLimit();g.lineCap=Q.getLineCap()||Tw,g.lineDash=C?C.slice():xw,g.lineDashOffset=void 0===t?0:t,g.lineJoin=Q.getLineJoin()||Uw,g.lineWidth=void 0===e?1:e,g.miterLimit=void 0===D?10:D,g.strokeStyle=ow(Q.getColor()||Xw)}else g=null,this.textStrokeState_=g;v=this.textState_;var E=A.getFont()||hw;pw(E);var r=A.getScaleArray();v.overflow=A.getOverflow(),v.font=E,v.maxAngle=A.getMaxAngle(),v.placement=A.getPlacement(),v.textAlign=A.getTextAlign(),v.textBaseline=A.getTextBaseline()||bw,v.backgroundFill=A.getBackgroundFill(),v.backgroundStroke=A.getBackgroundStroke(),v.padding=A.getPadding()||Yw,v.scale=void 0===r?[1,1]:r;var n=A.getOffsetX(),o=A.getOffsetY(),s=A.getRotateWithView(),F=A.getRotation();this.text_=A.getText()||"",this.textOffsetX_=void 0===n?0:n,this.textOffsetY_=void 0===o?0:o,this.textRotateWithView_=void 0!==s&&s,this.textRotation_=void 0===F?0:F,this.strokeKey_=g?("string"==typeof g.strokeStyle?g.strokeStyle:f(g.strokeStyle))+g.lineCap+g.lineDashOffset+"|"+g.lineWidth+g.lineJoin+g.miterLimit+"["+g.lineDash.join()+"]":"",this.textKey_=v.font+v.scale+(v.textAlign||"?")+(v.textBaseline||"?"),this.fillKey_=w?"string"==typeof w.fillStyle?w.fillStyle:"|"+f(w.fillStyle):""}else this.text_="";this.declutterImageWithText_=B},B}(gP),iP={Circle:rP,Default:gP,Image:QP,LineString:eP,Polygon:rP,Text:FP},uP=function(){function A(A,B,v,f){this.tolerance_=A,this.maxExtent_=B,this.pixelRatio_=f,this.resolution_=v,this.buildersByZIndex_={}}return A.prototype.finish=function(){var A={};for(var B in this.buildersByZIndex_){A[B]=A[B]||{};var v=this.buildersByZIndex_[B];for(var f in v){var w=v[f].finish();A[B][f]=w}}return A},A.prototype.getBuilder=function(A,B){var v=void 0!==A?A.toString():"0",f=this.buildersByZIndex_[v];void 0===f&&(f={},this.buildersByZIndex_[v]=f);var w=f[B];void 0===w&&(w=new(0,iP[B])(this.tolerance_,this.maxExtent_,this.resolution_,this.pixelRatio_),f[B]=w);return w},A}(),HP=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),cP=function(A){function v(B){var v=A.call(this)||this;return v.boundHandleImageChange_=v.handleImageChange_.bind(v),v.layer_=B,v.declutterExecutorGroup=null,v}return HP(v,A),v.prototype.getFeatures=function(A){return B()},v.prototype.prepareFrame=function(A){return B()},v.prototype.renderFrame=function(A,v){return B()},v.prototype.loadedTileCallback=function(A,B,v){A[B]||(A[B]={}),A[B][v.tileCoord.toString()]=v},v.prototype.createLoadedTileFinder=function(A,B,v){return function(f,w){var g=this.loadedTileCallback.bind(this,v,f);return A.forEachLoadedTile(B,f,w,g)}.bind(this)},v.prototype.forEachFeatureAtCoordinate=function(A,B,v,f,w){},v.prototype.getDataAtPixel=function(A,B,v){return null},v.prototype.getLayer=function(){return this.layer_},v.prototype.handleFontsChanged=function(){},v.prototype.handleImageChange_=function(A){A.target.getState()===_f&&this.renderIfReadyAndVisible()},v.prototype.loadImage=function(A){var B=A.getState();return B!=_f&&B!=$f&&A.addEventListener(z,this.boundHandleImageChange_),B==Zf&&(A.load(),B=A.getState()),B==_f},v.prototype.renderIfReadyAndVisible=function(){var A=this.getLayer();A.getVisible()&&A.getSourceState()==ag&&A.changed()},v}(S),IP=cP,aP=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),LP=function(A){function B(B,v,f,w){var g=A.call(this,B)||this;return g.inversePixelTransform=v,g.frameState=f,g.context=w,g}return aP(B,A),B}(Q),zP=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),GP=function(A){function B(B){var v=A.call(this,B)||this;return v.container=null,v.renderedResolution,v.tempTransform=[1,0,0,1,0,0],v.pixelTransform=[1,0,0,1,0,0],v.inversePixelTransform=[1,0,0,1,0,0],v.context=null,v.containerReused=!1,v.pixelContext_=null,v}return zP(B,A),B.prototype.getBackground=function(A){var B=this.getLayer().getBackground();return"function"==typeof B&&(B=B(A.viewState.resolution)),B||void 0},B.prototype.useContainer=function(A,B,v,f){var w,g,P=this.getLayer().getClassName();!A||A.className!==P||""!==A.style.opacity||1!==v||f&&!o(Ew(A.style.backgroundColor),Ew(f))||(C=A.firstElementChild)instanceof HTMLCanvasElement&&(g=C.getContext("2d"));if(g&&g.canvas.style.transform===B?(this.container=A,this.context=g,this.containerReused=!0):this.containerReused&&(this.container=null,this.context=null,this.containerReused=!1),!this.container){(w=document.createElement("div")).className=P;var Q=w.style;Q.position="absolute",Q.width="100%",Q.height="100%",f&&(Q.backgroundColor=f);var C=(g=sw()).canvas;w.appendChild(C),(Q=C.style).position="absolute",Q.left="0",Q.transformOrigin="top left",this.container=w,this.context=g}},B.prototype.clipUnrotated=function(A,B,v){var f=LB(v),w=zB(v),g=iB(v),P=FB(v);OA(B.coordinateToPixelTransform,f),OA(B.coordinateToPixelTransform,w),OA(B.coordinateToPixelTransform,g),OA(B.coordinateToPixelTransform,P);var Q=this.inversePixelTransform;OA(Q,f),OA(Q,w),OA(Q,g),OA(Q,P),A.save(),A.beginPath(),A.moveTo(Math.round(f[0]),Math.round(f[1])),A.lineTo(Math.round(w[0]),Math.round(w[1])),A.lineTo(Math.round(g[0]),Math.round(g[1])),A.lineTo(Math.round(P[0]),Math.round(P[1])),A.clip()},B.prototype.dispatchRenderEvent_=function(A,B,v){var f=this.getLayer();if(f.hasListener(A)){var w=new LP(A,this.inversePixelTransform,v,B);f.dispatchEvent(w)}},B.prototype.preRender=function(A,B){this.dispatchRenderEvent_(lf,A,B)},B.prototype.postRender=function(A,B){this.dispatchRenderEvent_(jf,A,B)},B.prototype.getRenderTransform=function(A,B,v,f,w,g,P){var Q=w/2,C=g/2,t=f/B,e=-t,D=-A[0]+P,E=-A[1];return jA(this.tempTransform,Q,C,t,e,-v,D,E)},B.prototype.getDataAtPixel=function(A,B,v){var f=OA(this.inversePixelTransform,A.slice()),w=this.context,g=this.getLayer().getExtent();if(g&&!BB(g,OA(B.pixelToCoordinateTransform,A.slice())))return null;var P,Q=Math.round(f[0]),C=Math.round(f[1]),t=this.pixelContext_;if(!t){var e=document.createElement("canvas");e.width=1,e.height=1,t=e.getContext("2d"),this.pixelContext_=t}t.clearRect(0,0,1,1);try{t.drawImage(w.canvas,Q,C,1,1,0,0,1,1),P=t.getImageData(0,0,1,1).data}catch(A){return"SecurityError"===A.name?(this.pixelContext_=null,new Uint8Array):P}return 0===P[3]?null:P},B}(IP),hP=GP,MP="Circle",TP="Default",xP="Image",UP="LineString",XP="Polygon",RP="Text";function bP(A,B,v,f,w,g,P,Q,C,t,e,D){var E=A[B],r=A[B+1],n=0,o=0,s=0,F=0;function i(){n=E,o=r,E=A[B+=f],r=A[B+1],F+=s,s=Math.sqrt((E-n)*(E-n)+(r-o)*(r-o))}do{i()}while(B<v-f&&F+s<g);for(var u=0===s?0:(g-F)/s,H=yB(n,E,u),c=yB(o,r,u),I=B-f,a=F,L=g+Q*C(t,w,e);B<v-f&&F+s<L;)i();var z,G=yB(n,E,u=0===s?0:(L-F)/s),h=yB(o,r,u);if(D){var M=[H,c,G,h];kv(M,0,4,2,D,M,M),z=M[0]>M[2]}else z=H>G;var T,x=Math.PI,U=[],X=I+f===B;if(s=0,F=a,E=A[B=I],r=A[B+1],X){i(),T=Math.atan2(r-o,E-n),z&&(T+=T>0?-x:x);var R=(G+H)/2,b=(h+c)/2;return U[0]=[R,b,(L-g)/2,T,w],U}for(var Y=0,O=w.length;Y<O;){i();var l=Math.atan2(r-o,E-n);if(z&&(l+=l>0?-x:x),void 0!==T){var j=l-T;if(j+=j>x?-2*x:j<-x?2*x:0,Math.abs(j)>P)return null}T=l;for(var y=Y,k=0;Y<O;++Y){var p=Q*C(t,w[z?O-Y-1:Y],e);if(B+f<v&&F+s<g+k+p/2)break;k+=p}if(Y!==y){var d=z?w.substring(O-y,O-Y):w.substring(y,Y);R=yB(n,E,u=0===s?0:(g+k/2-F)/s),b=yB(o,r,u);U.push([R,b,k/2,l,d]),g+=k}}return U}var YP=[1/0,1/0,-1/0,-1/0],OP=[],lP=[],jP=[],yP=[];function kP(A){return A[3].declutterBox}var pP=new RegExp("["+String.fromCharCode(1425)+"-"+String.fromCharCode(2303)+String.fromCharCode(64285)+"-"+String.fromCharCode(65023)+String.fromCharCode(65136)+"-"+String.fromCharCode(65276)+String.fromCharCode(67584)+"-"+String.fromCharCode(69631)+String.fromCharCode(124928)+"-"+String.fromCharCode(126975)+"]");function dP(A,B){return"start"!==B&&"end"!==B||pP.test(A)||(B="start"===B?"left":"right"),sP[B]}var JP=function(){function A(A,B,v,f){this.overlaps=v,this.pixelRatio=B,this.resolution=A,this.alignFill_,this.instructions=f.instructions,this.coordinates=f.coordinates,this.coordinateCache_={},this.renderedTransform_=[1,0,0,1,0,0],this.hitDetectionInstructions=f.hitDetectionInstructions,this.pixelCoordinates_=null,this.viewRotation_=0,this.fillStates=f.fillStates||{},this.strokeStates=f.strokeStates||{},this.textStates=f.textStates||{},this.widths_={},this.labels_={}}return A.prototype.createLabel=function(A,B,v,f){var w=A+B+v+f;if(this.labels_[w])return this.labels_[w];var g=f?this.strokeStates[f]:null,P=v?this.fillStates[v]:null,Q=this.textStates[B],C=this.pixelRatio,t=[Q.scale[0]*C,Q.scale[1]*C],e=dP(A,Q.textAlign||Rw),D=f&&g.lineWidth?g.lineWidth:0,E=A.split("\n"),r=E.length,n=[],o=function(A,B,v){for(var f=B.length,w=0,g=0;g<f;++g){var P=Kw(A,B[g]);w=Math.max(w,P),v.push(P)}return w}(Q.font,E,n),s=dw(Q.font),F=o+D,i=[],u=(F+2)*t[0],H=(s*r+D)*t[1],c={width:u<0?Math.floor(u):Math.ceil(u),height:H<0?Math.floor(H):Math.ceil(H),contextInstructions:i};(1==t[0]&&1==t[1]||i.push("scale",t),i.push("font",Q.font),f)&&(i.push("strokeStyle",g.strokeStyle),i.push("lineWidth",D),i.push("lineCap",g.lineCap),i.push("lineJoin",g.lineJoin),i.push("miterLimit",g.miterLimit),(TA?OffscreenCanvasRenderingContext2D:CanvasRenderingContext2D).prototype.setLineDash&&(i.push("setLineDash",[g.lineDash]),i.push("lineDashOffset",g.lineDashOffset)));v&&i.push("fillStyle",P.fillStyle),i.push("textBaseline","middle"),i.push("textAlign","center");var I,a=.5-e,L=e*F+a*D;if(f)for(I=0;I<r;++I)i.push("strokeText",[E[I],L+a*n[I],.5*(D+s)+I*s]);if(v)for(I=0;I<r;++I)i.push("fillText",[E[I],L+a*n[I],.5*(D+s)+I*s]);return this.labels_[w]=c,c},A.prototype.replayTextBackground_=function(A,B,v,f,w,g,P){A.beginPath(),A.moveTo.apply(A,B),A.lineTo.apply(A,v),A.lineTo.apply(A,f),A.lineTo.apply(A,w),A.lineTo.apply(A,B),g&&(this.alignFill_=g[2],this.fill_(A)),P&&(this.setStrokeStyle_(A,P),A.stroke())},A.prototype.calculateImageOrLabelDimensions_=function(A,B,v,f,w,g,P,Q,C,t,e,D,E,r,n,o){var s,F=v-(P*=D[0]),i=f-(Q*=D[1]),u=w+C>A?A-C:w,H=g+t>B?B-t:g,c=r[3]+u*D[0]+r[1],I=r[0]+H*D[1]+r[2],a=F-r[3],L=i-r[0];return(n||0!==e)&&(OP[0]=a,yP[0]=a,OP[1]=L,lP[1]=L,lP[0]=a+c,jP[0]=lP[0],jP[1]=L+I,yP[1]=jP[1]),0!==e?(OA(s=jA([1,0,0,1,0,0],v,f,1,1,e,-v,-f),OP),OA(s,lP),OA(s,jP),OA(s,yP),PB(Math.min(OP[0],lP[0],jP[0],yP[0]),Math.min(OP[1],lP[1],jP[1],yP[1]),Math.max(OP[0],lP[0],jP[0],yP[0]),Math.max(OP[1],lP[1],jP[1],yP[1]),YP)):PB(Math.min(a,a+c),Math.min(L,L+I),Math.max(a,a+c),Math.max(L,L+I),YP),E&&(F=Math.round(F),i=Math.round(i)),{drawImageX:F,drawImageY:i,drawImageW:u,drawImageH:H,originX:C,originY:t,declutterBox:{minX:YP[0],minY:YP[1],maxX:YP[2],maxY:YP[3],value:o},canvasTransform:s,scale:D}},A.prototype.replayImageOrLabel_=function(A,B,v,f,w,g,P){var Q=!(!g&&!P),C=f.declutterBox,t=A.canvas,e=P?P[2]*f.scale[0]/2:0;return C.minX-e<=t.width/B&&C.maxX+e>=0&&C.minY-e<=t.height/B&&C.maxY+e>=0&&(Q&&this.replayTextBackground_(A,OP,lP,jP,yP,g,P),Nw(A,f.canvasTransform,w,v,f.originX,f.originY,f.drawImageW,f.drawImageH,f.drawImageX,f.drawImageY,f.scale)),!0},A.prototype.fill_=function(A){if(this.alignFill_){var B=OA(this.renderedTransform_,[0,0]),v=512*this.pixelRatio;A.save(),A.translate(B[0]%v,B[1]%v),A.rotate(this.viewRotation_)}A.fill(),this.alignFill_&&A.restore()},A.prototype.setStrokeStyle_=function(A,B){A.strokeStyle=B[1],A.lineWidth=B[2],A.lineCap=B[3],A.lineJoin=B[4],A.miterLimit=B[5],A.setLineDash&&(A.lineDashOffset=B[7],A.setLineDash(B[6]))},A.prototype.drawLabelWithPointPlacement_=function(A,B,v,f){var w=this.textStates[B],g=this.createLabel(A,B,f,v),P=this.strokeStates[v],Q=this.pixelRatio,C=dP(A,w.textAlign||Rw),t=sP[w.textBaseline||bw],e=P&&P.lineWidth?P.lineWidth:0;return{label:g,anchorX:C*(g.width/Q-2*w.scale[0])+2*(.5-C)*e,anchorY:t*g.height/Q+2*(.5-t)*e}},A.prototype.execute_=function(A,B,v,f,w,g,P,Q){var C,t,e;this.pixelCoordinates_&&o(v,this.renderedTransform_)?C=this.pixelCoordinates_:(this.pixelCoordinates_||(this.pixelCoordinates_=[]),C=yv(this.coordinates,0,this.coordinates.length,2,v,this.pixelCoordinates_),t=this.renderedTransform_,e=v,t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5]);for(var D,E,r,n,s,F,i,u,H,c,I,a,L,z,G,h,M=0,T=f.length,x=0,U=0,X=0,R=null,b=null,Y=this.coordinateCache_,O=this.viewRotation_,l=Math.round(1e12*Math.atan2(-v[1],v[0]))/1e12,j={context:A,pixelRatio:this.pixelRatio,resolution:this.resolution,rotation:O},y=this.instructions!=f||this.overlaps?0:200;M<T;){var k=f[M];switch(k[0]){case BP.BEGIN_GEOMETRY:L=k[1],h=k[3],L.getGeometry()?void 0===P||hB(P,h.getExtent())?++M:M=k[2]+1:M=k[2];break;case BP.BEGIN_PATH:U>y&&(this.fill_(A),U=0),X>y&&(A.stroke(),X=0),U||X||(A.beginPath(),n=NaN,s=NaN),++M;break;case BP.CIRCLE:var p=C[x=k[1]],d=C[x+1],J=C[x+2]-p,K=C[x+3]-d,S=Math.sqrt(J*J+K*K);A.moveTo(p+S,d),A.arc(p,d,S,0,2*Math.PI,!0),++M;break;case BP.CLOSE_PATH:A.closePath(),++M;break;case BP.CUSTOM:x=k[1],D=k[2];var N=k[3],m=k[4],V=6==k.length?k[5]:void 0;j.geometry=N,j.feature=L,M in Y||(Y[M]=[]);var W=Y[M];V?V(C,x,D,2,W):(W[0]=C[x],W[1]=C[x+1],W.length=2),m(W,j),++M;break;case BP.DRAW_IMAGE:x=k[1],D=k[2],u=k[3],E=k[4],r=k[5];var Z=k[6],q=k[7],_=k[8],$=k[9],AA=k[10],BA=k[11],vA=k[12],fA=k[13],wA=k[14];if(!u&&k.length>=19){H=k[18],c=k[19],I=k[20],a=k[21];var gA=this.drawLabelWithPointPlacement_(H,c,I,a);u=gA.label,k[3]=u;var PA=k[22];E=(gA.anchorX-PA)*this.pixelRatio,k[4]=E;var QA=k[23];r=(gA.anchorY-QA)*this.pixelRatio,k[5]=r,Z=u.height,k[6]=Z,fA=u.width,k[13]=fA}var CA=void 0;k.length>24&&(CA=k[24]);var tA=void 0,eA=void 0,DA=void 0;k.length>16?(tA=k[15],eA=k[16],DA=k[17]):(tA=Yw,eA=!1,DA=!1),AA&&l?BA+=O:AA||l||(BA-=O);for(var EA=0;x<D;x+=2)if(!(CA&&CA[EA++]<fA/this.pixelRatio)){var rA=[A,B,u,kA=this.calculateImageOrLabelDimensions_(u.width,u.height,C[x],C[x+1],fA,Z,E,r,_,$,BA,vA,w,tA,eA||DA,L),q,eA?R:null,DA?b:null],nA=void 0,oA=void 0;if(Q&&wA){var sA=D-x;if(!wA[sA]){wA[sA]=rA;continue}if(nA=wA[sA],delete wA[sA],oA=kP(nA),Q.collides(oA))continue}Q&&Q.collides(kA.declutterBox)||(nA&&(Q&&Q.insert(oA),this.replayImageOrLabel_.apply(this,nA)),Q&&Q.insert(kA.declutterBox),this.replayImageOrLabel_.apply(this,rA))}++M;break;case BP.DRAW_CHARS:var FA=k[1],iA=k[2],uA=k[3],HA=k[4];a=k[5];var cA=k[6],IA=k[7],aA=k[8];I=k[9];var LA=k[10];H=k[11],c=k[12];var zA=[k[13],k[13]],GA=this.textStates[c],hA=GA.font,MA=[GA.scale[0]*IA,GA.scale[1]*IA],TA=void 0;hA in this.widths_?TA=this.widths_[hA]:(TA={},this.widths_[hA]=TA);var xA=Sf(C,FA,iA,2),UA=Math.abs(MA[0])*Sw(hA,H,TA);if(HA||UA<=xA){var XA=this.textStates[c].textAlign,RA=bP(C,FA,iA,2,H,(xA-UA)*sP[XA],cA,Math.abs(MA[0]),Sw,hA,TA,l?0:this.viewRotation_);A:if(RA){var bA=[],YA=void 0,OA=void 0,lA=void 0,jA=void 0,yA=void 0;if(I)for(YA=0,OA=RA.length;YA<OA;++YA){lA=(yA=RA[YA])[4],jA=this.createLabel(lA,c,"",I),E=yA[2]+(MA[0]<0?-LA:LA),r=uA*jA.height+2*(.5-uA)*LA*MA[1]/MA[0]-aA;var kA=this.calculateImageOrLabelDimensions_(jA.width,jA.height,yA[0],yA[1],jA.width,jA.height,E,r,0,0,yA[3],zA,!1,Yw,!1,L);if(Q&&Q.collides(kA.declutterBox))break A;bA.push([A,B,jA,kA,1,null,null])}if(a)for(YA=0,OA=RA.length;YA<OA;++YA){lA=(yA=RA[YA])[4],jA=this.createLabel(lA,c,a,""),E=yA[2],r=uA*jA.height-aA;kA=this.calculateImageOrLabelDimensions_(jA.width,jA.height,yA[0],yA[1],jA.width,jA.height,E,r,0,0,yA[3],zA,!1,Yw,!1,L);if(Q&&Q.collides(kA.declutterBox))break A;bA.push([A,B,jA,kA,1,null,null])}Q&&Q.load(bA.map(kP));for(var pA=0,dA=bA.length;pA<dA;++pA)this.replayImageOrLabel_.apply(this,bA[pA])}}++M;break;case BP.END_GEOMETRY:if(void 0!==g){var JA=g(L=k[1],h);if(JA)return JA}++M;break;case BP.FILL:y?U++:this.fill_(A),++M;break;case BP.MOVE_TO_LINE_TO:for(x=k[1],D=k[2],z=C[x],i=(G=C[x+1])+.5|0,(F=z+.5|0)===n&&i===s||(A.moveTo(z,G),n=F,s=i),x+=2;x<D;x+=2)F=(z=C[x])+.5|0,i=(G=C[x+1])+.5|0,x!=D-2&&F===n&&i===s||(A.lineTo(z,G),n=F,s=i);++M;break;case BP.SET_FILL_STYLE:R=k,this.alignFill_=k[2],U&&(this.fill_(A),U=0,X&&(A.stroke(),X=0)),A.fillStyle=k[1],++M;break;case BP.SET_STROKE_STYLE:b=k,X&&(A.stroke(),X=0),this.setStrokeStyle_(A,k),++M;break;case BP.STROKE:y?X++:A.stroke(),++M;break;default:++M}}U&&this.fill_(A),X&&A.stroke()},A.prototype.execute=function(A,B,v,f,w,g){this.viewRotation_=f,this.execute_(A,B,v,this.instructions,w,void 0,void 0,g)},A.prototype.executeHitDetection=function(A,B,v,f,w){return this.viewRotation_=v,this.execute_(A,1,B,this.hitDetectionInstructions,!0,f,w)},A}(),KP=JP,SP=[XP,MP,UP,xP,RP,TP],NP=function(){function A(A,B,v,f,w,g){this.maxExtent_=A,this.overlaps_=f,this.pixelRatio_=v,this.resolution_=B,this.renderBuffer_=g,this.executorsByZIndex_={},this.hitDetectionContext_=null,this.hitDetectionTransform_=[1,0,0,1,0,0],this.createExecutors_(w)}return A.prototype.clip=function(A,B){var v=this.getClipCoords(B);A.beginPath(),A.moveTo(v[0],v[1]),A.lineTo(v[2],v[3]),A.lineTo(v[4],v[5]),A.lineTo(v[6],v[7]),A.clip()},A.prototype.createExecutors_=function(A){for(var B in A){var v=this.executorsByZIndex_[B];void 0===v&&(v={},this.executorsByZIndex_[B]=v);var f=A[B];for(var w in f){var g=f[w];v[w]=new KP(this.resolution_,this.pixelRatio_,this.overlaps_,g)}}},A.prototype.hasExecutors=function(A){for(var B in this.executorsByZIndex_)for(var v=this.executorsByZIndex_[B],f=0,w=A.length;f<w;++f)if(A[f]in v)return!0;return!1},A.prototype.forEachFeatureAtCoordinate=function(A,B,v,f,w,g){var P=2*(f=Math.round(f))+1,Q=jA(this.hitDetectionTransform_,f+.5,f+.5,1/B,-1/B,-v,-A[0],-A[1]),C=!this.hitDetectionContext_;C&&(this.hitDetectionContext_=sw(P,P));var t,D=this.hitDetectionContext_;D.canvas.width!==P||D.canvas.height!==P?(D.canvas.width=P,D.canvas.height=P):C||D.clearRect(0,0,P,P),void 0!==this.renderBuffer_&&(EB(t=[1/0,1/0,-1/0,-1/0],A),_A(t,B*(this.renderBuffer_+f),t));var E,r=function(A){if(void 0!==mP[A])return mP[A];for(var B=2*A+1,v=A*A,f=new Array(v+1),w=0;w<=A;++w)for(var g=0;g<=A;++g){var P=w*w+g*g;if(P>v)break;var Q=f[P];Q||(Q=[],f[P]=Q),Q.push(4*((A+w)*B+(A+g))+3),w>0&&Q.push(4*((A-w)*B+(A+g))+3),g>0&&(Q.push(4*((A+w)*B+(A-g))+3),w>0&&Q.push(4*((A-w)*B+(A-g))+3))}for(var C=[],t=(w=0,f.length);w<t;++w)f[w]&&C.push.apply(C,f[w]);return mP[A]=C,C}(f);function n(A,B){for(var v=D.getImageData(0,0,P,P).data,Q=0,C=r.length;Q<C;Q++)if(v[r[Q]]>0){if(!g||E!==xP&&E!==RP||-1!==g.indexOf(A)){var t=(r[Q]-3)/4,e=f-t%P,n=f-(t/P|0),o=w(A,B,e*e+n*n);if(o)return o}D.clearRect(0,0,P,P);break}}var o,s,F,i,u,H=Object.keys(this.executorsByZIndex_).map(Number);for(H.sort(e),o=H.length-1;o>=0;--o){var c=H[o].toString();for(F=this.executorsByZIndex_[c],s=SP.length-1;s>=0;--s)if(void 0!==(i=F[E=SP[s]])&&(u=i.executeHitDetection(D,Q,v,n,t)))return u}},A.prototype.getClipCoords=function(A){var B=this.maxExtent_;if(!B)return null;var v=B[0],f=B[1],w=B[2],g=B[3],P=[v,f,v,g,w,g,w,f];return yv(P,0,8,2,A,P),P},A.prototype.isEmpty=function(){return I(this.executorsByZIndex_)},A.prototype.execute=function(A,B,v,f,w,g,P){var Q=Object.keys(this.executorsByZIndex_).map(Number);Q.sort(e),this.maxExtent_&&(A.save(),this.clip(A,v));var C,t,D,E,r,n,o=g||SP;for(P&&Q.reverse(),C=0,t=Q.length;C<t;++C){var s=Q[C].toString();for(r=this.executorsByZIndex_[s],D=0,E=o.length;D<E;++D){void 0!==(n=r[o[D]])&&n.execute(A,B,v,f,w,P)}}this.maxExtent_&&A.restore()},A}(),mP={};var VP=NP,WP=0,ZP=1,qP=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),_P=function(A){function B(B,v,f,w,g,P,Q){var C=A.call(this)||this;return C.context_=B,C.pixelRatio_=v,C.extent_=f,C.transform_=w,C.viewRotation_=g,C.squaredTolerance_=P,C.userTransform_=Q,C.contextFillState_=null,C.contextStrokeState_=null,C.contextTextState_=null,C.fillState_=null,C.strokeState_=null,C.image_=null,C.imageAnchorX_=0,C.imageAnchorY_=0,C.imageHeight_=0,C.imageOpacity_=0,C.imageOriginX_=0,C.imageOriginY_=0,C.imageRotateWithView_=!1,C.imageRotation_=0,C.imageScale_=[0,0],C.imageWidth_=0,C.text_="",C.textOffsetX_=0,C.textOffsetY_=0,C.textRotateWithView_=!1,C.textRotation_=0,C.textScale_=[0,0],C.textFillState_=null,C.textStrokeState_=null,C.textState_=null,C.pixelCoordinates_=[],C.tmpLocalTransform_=[1,0,0,1,0,0],C}return qP(B,A),B.prototype.drawImages_=function(A,B,v,f){if(this.image_){var w=yv(A,B,v,f,this.transform_,this.pixelCoordinates_),g=this.context_,P=this.tmpLocalTransform_,Q=g.globalAlpha;1!=this.imageOpacity_&&(g.globalAlpha=Q*this.imageOpacity_);var C=this.imageRotation_;this.imageRotateWithView_&&(C+=this.viewRotation_);for(var t=0,e=w.length;t<e;t+=2){var D=w[t]-this.imageAnchorX_,E=w[t+1]-this.imageAnchorY_;if(0!==C||1!=this.imageScale_[0]||1!=this.imageScale_[1]){var r=D+this.imageAnchorX_,n=E+this.imageAnchorY_;jA(P,r,n,1,1,C,-r,-n),g.setTransform.apply(g,P),g.translate(r,n),g.scale(this.imageScale_[0],this.imageScale_[1]),g.drawImage(this.image_,this.imageOriginX_,this.imageOriginY_,this.imageWidth_,this.imageHeight_,-this.imageAnchorX_,-this.imageAnchorY_,this.imageWidth_,this.imageHeight_),g.setTransform(1,0,0,1,0,0)}else g.drawImage(this.image_,this.imageOriginX_,this.imageOriginY_,this.imageWidth_,this.imageHeight_,D,E,this.imageWidth_,this.imageHeight_)}1!=this.imageOpacity_&&(g.globalAlpha=Q)}},B.prototype.drawText_=function(A,B,v,f){if(this.textState_&&""!==this.text_){this.textFillState_&&this.setContextFillState_(this.textFillState_),this.textStrokeState_&&this.setContextStrokeState_(this.textStrokeState_),this.setContextTextState_(this.textState_);var w=yv(A,B,v,f,this.transform_,this.pixelCoordinates_),g=this.context_,P=this.textRotation_;for(this.textRotateWithView_&&(P+=this.viewRotation_);B<v;B+=f){var Q=w[B]+this.textOffsetX_,C=w[B+1]+this.textOffsetY_;if(0!==P||1!=this.textScale_[0]||1!=this.textScale_[1]){var t=jA(this.tmpLocalTransform_,Q,C,1,1,P,-Q,-C);g.setTransform.apply(g,t),g.translate(Q,C),g.scale(this.textScale_[0],this.textScale_[1]),this.textStrokeState_&&g.strokeText(this.text_,0,0),this.textFillState_&&g.fillText(this.text_,0,0),g.setTransform(1,0,0,1,0,0)}else this.textStrokeState_&&g.strokeText(this.text_,Q,C),this.textFillState_&&g.fillText(this.text_,Q,C)}}},B.prototype.moveToLineTo_=function(A,B,v,f,w){var g=this.context_,P=yv(A,B,v,f,this.transform_,this.pixelCoordinates_);g.moveTo(P[0],P[1]);var Q=P.length;w&&(Q-=2);for(var C=2;C<Q;C+=2)g.lineTo(P[C],P[C+1]);return w&&g.closePath(),v},B.prototype.drawRings_=function(A,B,v,f){for(var w=0,g=v.length;w<g;++w)B=this.moveToLineTo_(A,B,v[w],f,!0);return B},B.prototype.drawCircle=function(A){if(hB(this.extent_,A.getExtent())){if(this.fillState_||this.strokeState_){this.fillState_&&this.setContextFillState_(this.fillState_),this.strokeState_&&this.setContextStrokeState_(this.strokeState_);var B=function(A,B,v){var f=A.getFlatCoordinates();if(f){var w=A.getStride();return yv(f,0,f.length,w,B,v)}return null}(A,this.transform_,this.pixelCoordinates_),v=B[2]-B[0],f=B[3]-B[1],w=Math.sqrt(v*v+f*f),g=this.context_;g.beginPath(),g.arc(B[0],B[1],w,0,2*Math.PI),this.fillState_&&g.fill(),this.strokeState_&&g.stroke()}""!==this.text_&&this.drawText_(A.getCenter(),0,2,2)}},B.prototype.setStyle=function(A){this.setFillStrokeStyle(A.getFill(),A.getStroke()),this.setImageStyle(A.getImage()),this.setTextStyle(A.getText())},B.prototype.setTransform=function(A){this.transform_=A},B.prototype.drawGeometry=function(A){switch(A.getType()){case DA:this.drawPoint(A);break;case EA:this.drawLineString(A);break;case nA:this.drawPolygon(A);break;case oA:this.drawMultiPoint(A);break;case sA:this.drawMultiLineString(A);break;case FA:this.drawMultiPolygon(A);break;case iA:this.drawGeometryCollection(A);break;case uA:this.drawCircle(A)}},B.prototype.drawFeature=function(A,B){var v=B.getGeometryFunction()(A);v&&hB(this.extent_,v.getExtent())&&(this.setStyle(B),this.drawGeometry(v))},B.prototype.drawGeometryCollection=function(A){for(var B=A.getGeometriesArray(),v=0,f=B.length;v<f;++v)this.drawGeometry(B[v])},B.prototype.drawPoint=function(A){this.squaredTolerance_&&(A=A.simplifyTransformed(this.squaredTolerance_,this.userTransform_));var B=A.getFlatCoordinates(),v=A.getStride();this.image_&&this.drawImages_(B,0,B.length,v),""!==this.text_&&this.drawText_(B,0,B.length,v)},B.prototype.drawMultiPoint=function(A){this.squaredTolerance_&&(A=A.simplifyTransformed(this.squaredTolerance_,this.userTransform_));var B=A.getFlatCoordinates(),v=A.getStride();this.image_&&this.drawImages_(B,0,B.length,v),""!==this.text_&&this.drawText_(B,0,B.length,v)},B.prototype.drawLineString=function(A){if(this.squaredTolerance_&&(A=A.simplifyTransformed(this.squaredTolerance_,this.userTransform_)),hB(this.extent_,A.getExtent())){if(this.strokeState_){this.setContextStrokeState_(this.strokeState_);var B=this.context_,v=A.getFlatCoordinates();B.beginPath(),this.moveToLineTo_(v,0,v.length,A.getStride(),!1),B.stroke()}if(""!==this.text_){var f=A.getFlatMidpoint();this.drawText_(f,0,2,2)}}},B.prototype.drawMultiLineString=function(A){this.squaredTolerance_&&(A=A.simplifyTransformed(this.squaredTolerance_,this.userTransform_));var B=A.getExtent();if(hB(this.extent_,B)){if(this.strokeState_){this.setContextStrokeState_(this.strokeState_);var v=this.context_,f=A.getFlatCoordinates(),w=0,g=A.getEnds(),P=A.getStride();v.beginPath();for(var Q=0,C=g.length;Q<C;++Q)w=this.moveToLineTo_(f,w,g[Q],P,!1);v.stroke()}if(""!==this.text_){var t=A.getFlatMidpoints();this.drawText_(t,0,t.length,2)}}},B.prototype.drawPolygon=function(A){if(this.squaredTolerance_&&(A=A.simplifyTransformed(this.squaredTolerance_,this.userTransform_)),hB(this.extent_,A.getExtent())){if(this.strokeState_||this.fillState_){this.fillState_&&this.setContextFillState_(this.fillState_),this.strokeState_&&this.setContextStrokeState_(this.strokeState_);var B=this.context_;B.beginPath(),this.drawRings_(A.getOrientedFlatCoordinates(),0,A.getEnds(),A.getStride()),this.fillState_&&B.fill(),this.strokeState_&&B.stroke()}if(""!==this.text_){var v=A.getFlatInteriorPoint();this.drawText_(v,0,2,2)}}},B.prototype.drawMultiPolygon=function(A){if(this.squaredTolerance_&&(A=A.simplifyTransformed(this.squaredTolerance_,this.userTransform_)),hB(this.extent_,A.getExtent())){if(this.strokeState_||this.fillState_){this.fillState_&&this.setContextFillState_(this.fillState_),this.strokeState_&&this.setContextStrokeState_(this.strokeState_);var B=this.context_,v=A.getOrientedFlatCoordinates(),f=0,w=A.getEndss(),g=A.getStride();B.beginPath();for(var P=0,Q=w.length;P<Q;++P){var C=w[P];f=this.drawRings_(v,f,C,g)}this.fillState_&&B.fill(),this.strokeState_&&B.stroke()}if(""!==this.text_){var t=A.getFlatInteriorPoints();this.drawText_(t,0,t.length,2)}}},B.prototype.setContextFillState_=function(A){var B=this.context_,v=this.contextFillState_;v?v.fillStyle!=A.fillStyle&&(v.fillStyle=A.fillStyle,B.fillStyle=A.fillStyle):(B.fillStyle=A.fillStyle,this.contextFillState_={fillStyle:A.fillStyle})},B.prototype.setContextStrokeState_=function(A){var B=this.context_,v=this.contextStrokeState_;v?(v.lineCap!=A.lineCap&&(v.lineCap=A.lineCap,B.lineCap=A.lineCap),B.setLineDash&&(o(v.lineDash,A.lineDash)||B.setLineDash(v.lineDash=A.lineDash),v.lineDashOffset!=A.lineDashOffset&&(v.lineDashOffset=A.lineDashOffset,B.lineDashOffset=A.lineDashOffset)),v.lineJoin!=A.lineJoin&&(v.lineJoin=A.lineJoin,B.lineJoin=A.lineJoin),v.lineWidth!=A.lineWidth&&(v.lineWidth=A.lineWidth,B.lineWidth=A.lineWidth),v.miterLimit!=A.miterLimit&&(v.miterLimit=A.miterLimit,B.miterLimit=A.miterLimit),v.strokeStyle!=A.strokeStyle&&(v.strokeStyle=A.strokeStyle,B.strokeStyle=A.strokeStyle)):(B.lineCap=A.lineCap,B.setLineDash&&(B.setLineDash(A.lineDash),B.lineDashOffset=A.lineDashOffset),B.lineJoin=A.lineJoin,B.lineWidth=A.lineWidth,B.miterLimit=A.miterLimit,B.strokeStyle=A.strokeStyle,this.contextStrokeState_={lineCap:A.lineCap,lineDash:A.lineDash,lineDashOffset:A.lineDashOffset,lineJoin:A.lineJoin,lineWidth:A.lineWidth,miterLimit:A.miterLimit,strokeStyle:A.strokeStyle})},B.prototype.setContextTextState_=function(A){var B=this.context_,v=this.contextTextState_,f=A.textAlign?A.textAlign:Rw;v?(v.font!=A.font&&(v.font=A.font,B.font=A.font),v.textAlign!=f&&(v.textAlign=f,B.textAlign=f),v.textBaseline!=A.textBaseline&&(v.textBaseline=A.textBaseline,B.textBaseline=A.textBaseline)):(B.font=A.font,B.textAlign=f,B.textBaseline=A.textBaseline,this.contextTextState_={font:A.font,textAlign:f,textBaseline:A.textBaseline})},B.prototype.setFillStrokeStyle=function(A,B){var v=this;if(A){var f=A.getColor();this.fillState_={fillStyle:ow(f||Mw)}}else this.fillState_=null;if(B){var w=B.getColor(),g=B.getLineCap(),P=B.getLineDash(),Q=B.getLineDashOffset(),C=B.getLineJoin(),t=B.getWidth(),e=B.getMiterLimit(),D=P||xw;this.strokeState_={lineCap:void 0!==g?g:Tw,lineDash:1===this.pixelRatio_?D:D.map((function(A){return A*v.pixelRatio_})),lineDashOffset:(Q||0)*this.pixelRatio_,lineJoin:void 0!==C?C:Uw,lineWidth:(void 0!==t?t:1)*this.pixelRatio_,miterLimit:void 0!==e?e:10,strokeStyle:ow(w||Xw)}}else this.strokeState_=null},B.prototype.setImageStyle=function(A){var B;if(A&&(B=A.getSize())){var v=A.getAnchor(),f=A.getOrigin();this.image_=A.getImage(this.pixelRatio_),this.imageAnchorX_=v[0]*this.pixelRatio_,this.imageAnchorY_=v[1]*this.pixelRatio_,this.imageHeight_=B[1]*this.pixelRatio_,this.imageOpacity_=A.getOpacity(),this.imageOriginX_=f[0],this.imageOriginY_=f[1],this.imageRotateWithView_=A.getRotateWithView(),this.imageRotation_=A.getRotation(),this.imageScale_=A.getScaleArray(),this.imageWidth_=B[0]*this.pixelRatio_}else this.image_=null},B.prototype.setTextStyle=function(A){if(A){var B=A.getFill();if(B){var v=B.getColor();this.textFillState_={fillStyle:ow(v||Mw)}}else this.textFillState_=null;var f=A.getStroke();if(f){var w=f.getColor(),g=f.getLineCap(),P=f.getLineDash(),Q=f.getLineDashOffset(),C=f.getLineJoin(),t=f.getWidth(),e=f.getMiterLimit();this.textStrokeState_={lineCap:void 0!==g?g:Tw,lineDash:P||xw,lineDashOffset:Q||0,lineJoin:void 0!==C?C:Uw,lineWidth:void 0!==t?t:1,miterLimit:void 0!==e?e:10,strokeStyle:ow(w||Xw)}}else this.textStrokeState_=null;var D=A.getFont(),E=A.getOffsetX(),r=A.getOffsetY(),n=A.getRotateWithView(),o=A.getRotation(),s=A.getScaleArray(),F=A.getText(),i=A.getTextAlign(),u=A.getTextBaseline();this.textState_={font:void 0!==D?D:hw,textAlign:void 0!==i?i:Rw,textBaseline:void 0!==u?u:bw},this.text_=void 0!==F?F:"",this.textOffsetX_=void 0!==E?this.pixelRatio_*E:0,this.textOffsetY_=void 0!==r?this.pixelRatio_*r:0,this.textRotateWithView_=void 0!==n&&n,this.textRotation_=void 0!==o?o:0,this.textScale_=[this.pixelRatio_*s[0],this.pixelRatio_*s[1]]}else this.text_=""},B}(vP),$P=_P,AQ="fraction",BQ="pixels",vQ="bottom-left",fQ="bottom-right",wQ="top-left",gQ="top-right";function PQ(A,B,v){return B+":"+A+":"+(v?tw(v):"null")}var QQ=new(function(){function A(){this.cache_={},this.cacheSize_=0,this.maxCacheSize_=32}return A.prototype.clear=function(){this.cache_={},this.cacheSize_=0},A.prototype.canExpireCache=function(){return this.cacheSize_>this.maxCacheSize_},A.prototype.expire=function(){if(this.canExpireCache()){var A=0;for(var B in this.cache_){var v=this.cache_[B];0!=(3&A++)||v.hasListener()||(delete this.cache_[B],--this.cacheSize_)}}},A.prototype.get=function(A,B,v){var f=PQ(A,B,v);return f in this.cache_?this.cache_[f]:null},A.prototype.set=function(A,B,v,f){var w=PQ(A,B,v);this.cache_[w]=f,++this.cacheSize_},A.prototype.setSize=function(A){this.maxCacheSize_=A,this.expire()},A}()),CQ=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),tQ=function(A){function v(B,v,f,w){var g=A.call(this)||this;return g.extent=B,g.pixelRatio_=f,g.resolution=v,g.state=w,g}return CQ(v,A),v.prototype.changed=function(){this.dispatchEvent(z)},v.prototype.getExtent=function(){return this.extent},v.prototype.getImage=function(){return B()},v.prototype.getPixelRatio=function(){return this.pixelRatio_},v.prototype.getResolution=function(){return this.resolution},v.prototype.getState=function(){return this.state},v.prototype.load=function(){B()},v}(L),eQ=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}();function DQ(A,B,v){var f=A,w=!0,g=!1,P=!1,Q=[k(f,Y,(function(){P=!0,g||B()}))];return f.src&&xA?(g=!0,f.decode().then((function(){w&&B()})).catch((function(A){w&&(P?B():v())}))):Q.push(k(f,G,v)),function(){w=!1,Q.forEach(p)}}var EQ=function(A){function B(B,v,f,w,g,P){var Q=A.call(this,B,v,f,Zf)||this;return Q.src_=w,Q.image_=new Image,null!==g&&(Q.image_.crossOrigin=g),Q.unlisten_=null,Q.state=Zf,Q.imageLoadFunction_=P,Q}return eQ(B,A),B.prototype.getImage=function(){return this.image_},B.prototype.handleImageError_=function(){this.state=$f,this.unlistenImage_(),this.changed()},B.prototype.handleImageLoad_=function(){void 0===this.resolution&&(this.resolution=IB(this.extent)/this.image_.height),this.state=_f,this.unlistenImage_(),this.changed()},B.prototype.load=function(){this.state!=Zf&&this.state!=$f||(this.state=qf,this.changed(),this.imageLoadFunction_(this,this.src_),this.unlisten_=DQ(this.image_,this.handleImageLoad_.bind(this),this.handleImageError_.bind(this)))},B.prototype.setImage=function(A){this.image_=A,this.resolution=IB(this.extent)/this.image_.height},B.prototype.unlistenImage_=function(){this.unlisten_&&(this.unlisten_(),this.unlisten_=null)},B}(tQ),rQ=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),nQ=null,oQ=function(A){function B(B,v,f,w,g,P){var Q=A.call(this)||this;return Q.hitDetectionImage_=null,Q.image_=B||new Image,null!==w&&(Q.image_.crossOrigin=w),Q.canvas_={},Q.color_=P,Q.unlisten_=null,Q.imageState_=g,Q.size_=f,Q.src_=v,Q.tainted_,Q}return rQ(B,A),B.prototype.isTainted_=function(){if(void 0===this.tainted_&&this.imageState_===_f){nQ||(nQ=sw(1,1)),nQ.drawImage(this.image_,0,0);try{nQ.getImageData(0,0,1,1),this.tainted_=!1}catch(A){nQ=null,this.tainted_=!0}}return!0===this.tainted_},B.prototype.dispatchChangeEvent_=function(){this.dispatchEvent(z)},B.prototype.handleImageError_=function(){this.imageState_=$f,this.unlistenImage_(),this.dispatchChangeEvent_()},B.prototype.handleImageLoad_=function(){this.imageState_=_f,this.size_?(this.image_.width=this.size_[0],this.image_.height=this.size_[1]):this.size_=[this.image_.width,this.image_.height],this.unlistenImage_(),this.dispatchChangeEvent_()},B.prototype.getImage=function(A){return this.replaceColor_(A),this.canvas_[A]?this.canvas_[A]:this.image_},B.prototype.getPixelRatio=function(A){return this.replaceColor_(A),this.canvas_[A]?A:1},B.prototype.getImageState=function(){return this.imageState_},B.prototype.getHitDetectionImage=function(){if(!this.hitDetectionImage_)if(this.isTainted_()){var A=this.size_[0],B=this.size_[1],v=sw(A,B);v.fillRect(0,0,A,B),this.hitDetectionImage_=v.canvas}else this.hitDetectionImage_=this.image_;return this.hitDetectionImage_},B.prototype.getSize=function(){return this.size_},B.prototype.getSrc=function(){return this.src_},B.prototype.load=function(){if(this.imageState_==Zf){this.imageState_=qf;try{this.image_.src=this.src_}catch(A){this.handleImageError_()}this.unlisten_=DQ(this.image_,this.handleImageLoad_.bind(this),this.handleImageError_.bind(this))}},B.prototype.replaceColor_=function(A){if(this.color_&&!this.canvas_[A]&&this.imageState_===_f){var B=document.createElement("canvas");this.canvas_[A]=B,B.width=Math.ceil(this.image_.width*A),B.height=Math.ceil(this.image_.height*A);var v=B.getContext("2d");if(v.scale(A,A),v.drawImage(this.image_,0,0),v.globalCompositeOperation="multiply","multiply"===v.globalCompositeOperation||this.isTainted_())v.fillStyle=tw(this.color_),v.fillRect(0,0,B.width/A,B.height/A),v.globalCompositeOperation="destination-in",v.drawImage(this.image_,0,0);else{for(var f=v.getImageData(0,0,B.width,B.height),w=f.data,g=this.color_[0]/255,P=this.color_[1]/255,Q=this.color_[2]/255,C=this.color_[3],t=0,e=w.length;t<e;t+=4)w[t]*=g,w[t+1]*=P,w[t+2]*=Q,w[t+3]*=C;v.putImageData(f,0,0)}}},B.prototype.unlistenImage_=function(){this.unlisten_&&(this.unlisten_(),this.unlisten_=null)},B}(L);var sQ=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),FQ=function(A){function B(B){var v=this,w=B||{},g=void 0!==w.opacity?w.opacity:1,P=void 0!==w.rotation?w.rotation:0,Q=void 0!==w.scale?w.scale:1,C=void 0!==w.rotateWithView&&w.rotateWithView;(v=A.call(this,{opacity:g,rotation:P,scale:Q,displacement:void 0!==w.displacement?w.displacement:[0,0],rotateWithView:C})||this).anchor_=void 0!==w.anchor?w.anchor:[.5,.5],v.normalizedAnchor_=null,v.anchorOrigin_=void 0!==w.anchorOrigin?w.anchorOrigin:wQ,v.anchorXUnits_=void 0!==w.anchorXUnits?w.anchorXUnits:AQ,v.anchorYUnits_=void 0!==w.anchorYUnits?w.anchorYUnits:AQ,v.crossOrigin_=void 0!==w.crossOrigin?w.crossOrigin:null;var t=void 0!==w.img?w.img:null,e=void 0!==w.imgSize?w.imgSize:null,D=w.src;fA(!(void 0!==D&&t),4),fA(!t||t&&e,5),void 0!==D&&0!==D.length||!t||(D=t.src||f(t)),fA(void 0!==D&&D.length>0,6);var E=void 0!==w.src?Zf:_f;return v.color_=void 0!==w.color?Ew(w.color):null,v.iconImage_=function(A,B,v,f,w,g){var P=QQ.get(B,f,g);return P||(P=new oQ(A,B,v,f,w,g),QQ.set(B,f,g,P)),P}(t,D,e,v.crossOrigin_,E,v.color_),v.offset_=void 0!==w.offset?w.offset:[0,0],v.offsetOrigin_=void 0!==w.offsetOrigin?w.offsetOrigin:wQ,v.origin_=null,v.size_=void 0!==w.size?w.size:null,v}return sQ(B,A),B.prototype.clone=function(){var A=this.getScale();return new B({anchor:this.anchor_.slice(),anchorOrigin:this.anchorOrigin_,anchorXUnits:this.anchorXUnits_,anchorYUnits:this.anchorYUnits_,crossOrigin:this.crossOrigin_,color:this.color_&&this.color_.slice?this.color_.slice():this.color_||void 0,src:this.getSrc(),offset:this.offset_.slice(),offsetOrigin:this.offsetOrigin_,size:null!==this.size_?this.size_.slice():void 0,opacity:this.getOpacity(),scale:Array.isArray(A)?A.slice():A,rotation:this.getRotation(),rotateWithView:this.getRotateWithView()})},B.prototype.getAnchor=function(){var A=this.normalizedAnchor_;if(!A){A=this.anchor_;var 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g=v.getFill(),P=v.getStroke();if(P||g){var Q=A.getBuilder(v.getZIndex(),XP);Q.setFillStrokeStyle(g,P),Q.drawMultiPolygon(B,f)}var C=v.getText();if(C&&C.getText()){var t=(w||A).getBuilder(v.getZIndex(),RP);t.setTextStyle(C),t.drawText(B,f)}},GeometryCollection:function(A,B,v,f,w){var g,P,Q=B.getGeometriesArray();for(g=0,P=Q.length;g<P;++g){(0,IQ[Q[g].getType()])(A,Q[g],v,f,w)}},Circle:function(A,B,v,f,w){var g=v.getFill(),P=v.getStroke();if(g||P){var Q=A.getBuilder(v.getZIndex(),MP);Q.setFillStrokeStyle(g,P),Q.drawCircle(B,f)}var C=v.getText();if(C&&C.getText()){var t=(w||A).getBuilder(v.getZIndex(),RP);t.setTextStyle(C),t.drawText(B,f)}}};function aQ(A,B){return parseInt(f(A),10)-parseInt(f(B),10)}function LQ(A,B){var v=zQ(A,B);return v*v}function zQ(A,B){return.5*A/B}function GQ(A,B,v,f,w,g,P){var Q=!1,C=v.getImage();if(C){var t=C.getImageState();t==_f||t==$f?C.unlistenImageChange(w):(t==Zf&&C.load(),t=C.getImageState(),C.listenImageChange(w),Q=!0)}return function(A,B,v,f,w,g){var P=v.getGeometryFunction()(B);if(!P)return;var Q=P.simplifyTransformed(f,w);if(v.getRenderer())hQ(A,Q,v,B);else{(0,IQ[Q.getType()])(A,Q,v,B,g)}}(A,B,v,f,g,P),Q}function hQ(A,B,v,f){if(B.getType()!=iA)A.getBuilder(v.getZIndex(),TP).drawCustom(B,f,v.getRenderer(),v.getHitDetectionRenderer());else for(var w=B.getGeometries(),g=0,P=w.length;g<P;++g)hQ(A,w[g],v,f)}var MQ=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),TQ=function(A){function B(B){var v=A.call(this,B)||this;return 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o=Gw(f.opacity),s=this.container;return o!==s.style.opacity&&(s.style.opacity=o),this.renderedRotation_!==D.rotation&&(this.renderedRotation_=D.rotation,this.hitDetectionImageData_=null),this.container},B.prototype.getFeatures=function(A){return new Promise(function(B){if(!this.hitDetectionImageData_&&!this.animatingOrInteracting_){var v=[this.context.canvas.width,this.context.canvas.height];OA(this.pixelTransform,v);var f=this.renderedCenter_,w=this.renderedResolution_,g=this.renderedRotation_,P=this.renderedProjection_,Q=this.wrappedRenderedExtent_,C=this.getLayer(),t=[],e=v[0]*uQ,D=v[1]*uQ;t.push(this.getRenderTransform(f,w,g,uQ,e,D,0).slice());var E=C.getSource(),r=P.getExtent();if(E.getWrapX()&&P.canWrapX()&&!vB(r,Q)){for(var n=Q[0],o=GB(r),s=0,F=void 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a=function(A,B){var v=B.getExtent(),f=uB(A);if(B.canWrapX()&&(f[0]<v[0]||f[0]>=v[2])){var w=GB(v),g=Math.floor((f[0]-v[0])/w)*w;A[0]-=g,A[2]-=g}return A}(u[0],t);a[0]<H[0]&&a[2]<H[2]?u.push([a[0]+c,a[1],a[2]+c,a[3]]):a[0]>H[0]&&a[2]>H[2]&&u.push([a[0]-c,a[1],a[2]-c,a[3]])}if(!this.dirty_&&this.renderedResolution_==e&&this.renderedRevision_==E&&this.renderedRenderOrder_==n&&vB(this.wrappedRenderedExtent_,F))return o(this.renderedExtent_,i)||(this.hitDetectionImageData_=null,this.renderedExtent_=i),this.renderedCenter_=s,this.replayGroupChanged=!1,!0;this.replayGroup_=null,this.dirty_=!1;var L,z=new uP(zQ(e,D),F,e,D);this.getLayer().getDeclutter()&&(L=new uP(zQ(e,D),F,e,D));for(var G=0,h=u.length;G<h;++G)v.loadFeatures(u[G],e,t);var M=LQ(e,D),T=function(A){var v,f=A.getStyleFunction()||B.getStyleFunction();if(f&&(v=f(A,e)),v){var 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f=A[v];this.down_[v]="function"==typeof f?i:f}if(0===this.dragListenerKeys_.length){var w=this.map_.getOwnerDocument();this.dragListenerKeys_.push(y(w,XC.POINTERMOVE,this.handlePointerMove_,this),y(w,XC.POINTERUP,this.handlePointerUp_,this),y(this.element_,XC.POINTERCANCEL,this.handlePointerUp_,this)),this.element_.getRootNode&&this.element_.getRootNode()!==w&&this.dragListenerKeys_.push(y(this.element_.getRootNode(),XC.POINTERUP,this.handlePointerUp_,this))}},B.prototype.handlePointerMove_=function(A){if(this.isMoving_(A)){this.dragging_=!0;var B=new UC(XC.POINTERDRAG,this.map_,A,this.dragging_);this.dispatchEvent(B)}},B.prototype.relayEvent_=function(A){this.originalPointerMoveEvent_=A;var B=!(!this.down_||!this.isMoving_(A));this.dispatchEvent(new UC(A.type,this.map_,A,B))},B.prototype.handleTouchMove_=function(A){var B=this.originalPointerMoveEvent_;B&&!B.defaultPrevented||"boolean"==typeof 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B(B){var v=A.call(this)||this;v.on,v.once,v.un;var f=u({},B);return v.hints_=[0,0],v.animations_=[],v.updateAnimationKey_,v.projection_=hv(f.projection,"EPSG:3857"),v.viewportSize_=[100,100],v.targetCenter_=null,v.targetResolution_,v.targetRotation_,v.nextCenter_=null,v.nextResolution_,v.nextRotation_,v.cancelAnchor_=void 0,f.center&&(f.center=Ov(f.center,v.projection_)),f.extent&&(f.extent=jv(f.extent,v.projection_)),v.applyOptions_(f),v}return ft(B,A),B.prototype.applyOptions_=function(A){var B=u({},A);for(var v in VC)delete B[v];this.setProperties(B,!0);var f=function(A){var B,v,f,w=28,g=2,P=void 0!==A.minZoom?A.minZoom:0,Q=void 0!==A.maxZoom?A.maxZoom:w,C=void 0!==A.zoomFactor?A.zoomFactor:g,t=void 0!==A.multiWorld&&A.multiWorld,e=void 0===A.smoothResolutionConstraint||A.smoothResolutionConstraint,D=void 0!==A.showFullExtent&&A.showFullExtent,r=hv(A.projection,"EPSG:3857"),n=r.getExtent(),o=A.constrainOnlyCenter,s=A.extent;t||s||!r.isGlobal()||(o=!1,s=n);if(void 0!==A.resolutions){var F=A.resolutions;v=F[P],f=void 0!==F[Q]?F[Q]:F[F.length-1],B=A.constrainResolution?function(A,B,v,f){return function(w,g,P,Q){if(void 0!==w){var C=A[0],t=A[A.length-1],e=v?_C(C,v,P,f):C;if(Q)return void 0===B||B?$C(w,e,t):UB(w,t,e);var D=Math.min(e,w),r=Math.floor(E(A,D,g));return A[r]>e&&r<A.length-1?A[r+1]:A[r]}}}(F,e,!o&&s,D):At(v,f,e,!o&&s,D)}else{var i=(n?Math.max(GB(n),IB(n)):360*cA[IA.DEGREES]/r.getMetersPerUnit())/WC/Math.pow(g,0),u=i/Math.pow(g,w-0);void 0!==(v=A.maxResolution)?P=0:v=i/Math.pow(C,P),void 0===(f=A.minResolution)&&(f=void 0!==A.maxZoom?void 0!==A.maxResolution?v/Math.pow(C,Q):i/Math.pow(C,Q):u),Q=P+Math.floor(Math.log(v/f)/Math.log(C)),f=v/Math.pow(C,Q-P),B=A.constrainResolution?function(A,B,v,f,w,g){return function(P,Q,C,t){if(void 0!==P){var e=w?_C(B,w,C,g):B,D=void 0!==v?v:0;if(t)return void 0===f||f?$C(P,e,D):UB(P,D,e);var E=Math.ceil(Math.log(B/e)/Math.log(A)-1e-9),r=-Q*(.5-1e-9)+.5,n=Math.min(e,P),o=Math.floor(Math.log(B/n)/Math.log(A)+r),s=Math.max(E,o);return UB(B/Math.pow(A,s),D,e)}}}(C,v,f,e,!o&&s,D):At(v,f,e,!o&&s,D)}return{constraint:B,maxResolution:v,minResolution:f,minZoom:P,zoomFactor:C}}(A);this.maxResolution_=f.maxResolution,this.minResolution_=f.minResolution,this.zoomFactor_=f.zoomFactor,this.resolutions_=A.resolutions,this.padding_=A.padding,this.minZoom_=f.minZoom;var w=function(A){if(void 0!==A.extent){var B=void 0===A.smoothExtentConstraint||A.smoothExtentConstraint;return ZC(A.extent,A.constrainOnlyCenter,B)}var v=hv(A.projection,"EPSG:3857");if(!0!==A.multiWorld&&v.isGlobal()){var f=v.getExtent().slice();return f[0]=-1/0,f[2]=1/0,ZC(f,!1,!1)}return qC}(A),g=f.constraint,P=function(A){if(void 0===A.enableRotation||A.enableRotation){var B=A.constrainRotation;return void 0===B||!0===B?(g=w||lB(5),function(A,B){return B?A:void 0!==A?Math.abs(A)<=g?0:A:void 0}):!1===B?vt:"number"==typeof B?(v=B,f=2*Math.PI/v,function(A,B){return B?A:void 0!==A?A=Math.floor(A/f+.5)*f:void 0}):vt}return Bt;var v,f;var w,g}(A);this.constraints_={center:w,resolution:g,rotation:P},this.setRotation(void 0!==A.rotation?A.rotation:0),this.setCenterInternal(void 0!==A.center?A.center:null),void 0!==A.resolution?this.setResolution(A.resolution):void 0!==A.zoom&&this.setZoom(A.zoom)},Object.defineProperty(B.prototype,"padding",{get:function(){return this.padding_},set:function(A){var B=this.padding_;this.padding_=A;var v=this.getCenter();if(v){var f=A||[0,0,0,0];B=B||[0,0,0,0];var w=this.getResolution(),g=w/2*(f[3]-B[3]+B[1]-f[1]),P=w/2*(f[0]-B[0]+B[2]-f[2]);this.setCenterInternal([v[0]+g,v[1]-P])}},enumerable:!1,configurable:!0}),B.prototype.getUpdatedOptions_=function(A){var B=this.getProperties();return void 0!==B.resolution?B.resolution=this.getResolution():B.zoom=this.getZoom(),B.center=this.getCenterInternal(),B.rotation=this.getRotation(),u({},B,A)},B.prototype.animate=function(A){this.isDef()&&!this.getAnimating()&&this.resolveConstraints(0);for(var B=new Array(arguments.length),v=0;v<B.length;++v){var f=arguments[v];f.center&&((f=u({},f)).center=Ov(f.center,this.getProjection())),f.anchor&&((f=u({},f)).anchor=Ov(f.anchor,this.getProjection())),B[v]=f}this.animateInternal.apply(this,B)},B.prototype.animateInternal=function(A){var B,v=arguments.length;v>1&&"function"==typeof arguments[v-1]&&(B=arguments[v-1],--v);for(var f=0;f<v&&!this.isDef();++f){var w=arguments[f];w.center&&this.setCenterInternal(w.center),void 0!==w.zoom?this.setZoom(w.zoom):w.resolution&&this.setResolution(w.resolution),void 0!==w.rotation&&this.setRotation(w.rotation)}if(f!==v){for(var g=Date.now(),P=this.targetCenter_.slice(),Q=this.targetResolution_,C=this.targetRotation_,t=[];f<v;++f){var e=arguments[f],D={start:g,complete:!1,anchor:e.anchor,duration:void 0!==e.duration?e.duration:1e3,easing:e.easing||CC,callback:B};if(e.center&&(D.sourceCenter=P,D.targetCenter=e.center.slice(),P=D.targetCenter),void 0!==e.zoom?(D.sourceResolution=Q,D.targetResolution=this.getResolutionForZoom(e.zoom),Q=D.targetResolution):e.resolution&&(D.sourceResolution=Q,D.targetResolution=e.resolution,Q=D.targetResolution),void 0!==e.rotation){D.sourceRotation=C;var E=jB(e.rotation-C+Math.PI,2*Math.PI)-Math.PI;D.targetRotation=C+E,C=D.targetRotation}Pt(D)?D.complete=!0:g+=D.duration,t.push(D)}this.animations_.push(t),this.setHint(WP,1),this.updateAnimations_()}else B&&gt(B,!0)},B.prototype.getAnimating=function(){return this.hints_[WP]>0},B.prototype.getInteracting=function(){return this.hints_[ZP]>0},B.prototype.cancelAnimations=function(){var A;this.setHint(WP,-this.hints_[WP]);for(var B=0,v=this.animations_.length;B<v;++B){var f=this.animations_[B];if(f[0].callback&&gt(f[0].callback,!1),!A)for(var w=0,g=f.length;w<g;++w){var P=f[w];if(!P.complete){A=P.anchor;break}}}this.animations_.length=0,this.cancelAnchor_=A,this.nextCenter_=null,this.nextResolution_=NaN,this.nextRotation_=NaN},B.prototype.updateAnimations_=function(){if(void 0!==this.updateAnimationKey_&&(cancelAnimationFrame(this.updateAnimationKey_),this.updateAnimationKey_=void 0),this.getAnimating()){for(var A=Date.now(),B=!1,v=this.animations_.length-1;v>=0;--v){for(var f=this.animations_[v],w=!0,g=0,P=f.length;g<P;++g){var Q=f[g];if(!Q.complete){var C=A-Q.start,t=Q.duration>0?C/Q.duration:1;t>=1?(Q.complete=!0,t=1):w=!1;var e=Q.easing(t);if(Q.sourceCenter){var D=Q.sourceCenter[0],E=Q.sourceCenter[1],r=Q.targetCenter[0],n=Q.targetCenter[1];this.nextCenter_=Q.targetCenter;var o=D+e*(r-D),s=E+e*(n-E);this.targetCenter_=[o,s]}if(Q.sourceResolution&&Q.targetResolution){var F=1===e?Q.targetResolution:Q.sourceResolution+e*(Q.targetResolution-Q.sourceResolution);if(Q.anchor){var i=this.getViewportSize_(this.getRotation()),u=this.constraints_.resolution(F,0,i,!0);this.targetCenter_=this.calculateCenterZoom(u,Q.anchor)}this.nextResolution_=Q.targetResolution,this.targetResolution_=F,this.applyTargetState_(!0)}if(void 0!==Q.sourceRotation&&void 0!==Q.targetRotation){var H=1===e?jB(Q.targetRotation+Math.PI,2*Math.PI)-Math.PI:Q.sourceRotation+e*(Q.targetRotation-Q.sourceRotation);if(Q.anchor){var c=this.constraints_.rotation(H,!0);this.targetCenter_=this.calculateCenterRotate(c,Q.anchor)}this.nextRotation_=Q.targetRotation,this.targetRotation_=H}if(this.applyTargetState_(!0),B=!0,!Q.complete)break}}if(w){this.animations_[v]=null,this.setHint(WP,-1),this.nextCenter_=null,this.nextResolution_=NaN,this.nextRotation_=NaN;var I=f[0].callback;I&&gt(I,!0)}}this.animations_=this.animations_.filter(Boolean),B&&void 0===this.updateAnimationKey_&&(this.updateAnimationKey_=requestAnimationFrame(this.updateAnimations_.bind(this)))}},B.prototype.calculateCenterRotate=function(A,B){var v,f,w,g=this.getCenterInternal();return void 0!==g&&(sv(v=[g[0]-B[0],g[1]-B[1]],A-this.getRotation()),w=B,(f=v)[0]+=+w[0],f[1]+=+w[1]),v},B.prototype.calculateCenterZoom=function(A,B){var v,f=this.getCenterInternal(),w=this.getResolution();void 0!==f&&void 0!==w&&(v=[B[0]-A*(B[0]-f[0])/w,B[1]-A*(B[1]-f[1])/w]);return v},B.prototype.getViewportSize_=function(A){var B=this.viewportSize_;if(A){var v=B[0],f=B[1];return[Math.abs(v*Math.cos(A))+Math.abs(f*Math.sin(A)),Math.abs(v*Math.sin(A))+Math.abs(f*Math.cos(A))]}return B},B.prototype.setViewportSize=function(A){this.viewportSize_=Array.isArray(A)?A.slice():[100,100],this.getAnimating()||this.resolveConstraints(0)},B.prototype.getCenter=function(){var A=this.getCenterInternal();return A?Yv(A,this.getProjection()):A},B.prototype.getCenterInternal=function(){return this.get(VC.CENTER)},B.prototype.getConstraints=function(){return this.constraints_},B.prototype.getConstrainResolution=function(){return this.get("constrainResolution")},B.prototype.getHints=function(A){return void 0!==A?(A[0]=this.hints_[0],A[1]=this.hints_[1],A):this.hints_.slice()},B.prototype.calculateExtent=function(A){return lv(this.calculateExtentInternal(A),this.getProjection())},B.prototype.calculateExtentInternal=function(A){var B=A||this.getViewportSizeMinusPadding_(),v=this.getCenterInternal();fA(v,1);var f=this.getResolution();fA(void 0!==f,2);var w=this.getRotation();return fA(void 0!==w,3),cB(v,f,w,B)},B.prototype.getMaxResolution=function(){return this.maxResolution_},B.prototype.getMinResolution=function(){return this.minResolution_},B.prototype.getMaxZoom=function(){return this.getZoomForResolution(this.minResolution_)},B.prototype.setMaxZoom=function(A){this.applyOptions_(this.getUpdatedOptions_({maxZoom:A}))},B.prototype.getMinZoom=function(){return this.getZoomForResolution(this.maxResolution_)},B.prototype.setMinZoom=function(A){this.applyOptions_(this.getUpdatedOptions_({minZoom:A}))},B.prototype.setConstrainResolution=function(A){this.applyOptions_(this.getUpdatedOptions_({constrainResolution:A}))},B.prototype.getProjection=function(){return this.projection_},B.prototype.getResolution=function(){return this.get(VC.RESOLUTION)},B.prototype.getResolutions=function(){return this.resolutions_},B.prototype.getResolutionForExtent=function(A,B){return this.getResolutionForExtentInternal(jv(A,this.getProjection()),B)},B.prototype.getResolutionForExtentInternal=function(A,B){var v=B||this.getViewportSizeMinusPadding_(),f=GB(A)/v[0],w=IB(A)/v[1];return Math.max(f,w)},B.prototype.getResolutionForValueFunction=function(A){var B=A||2,v=this.getConstrainedResolution(this.maxResolution_),f=this.minResolution_,w=Math.log(v/f)/Math.log(B);return function(A){return v/Math.pow(B,A*w)}},B.prototype.getRotation=function(){return this.get(VC.ROTATION)},B.prototype.getValueForResolutionFunction=function(A){var B=Math.log(A||2),v=this.getConstrainedResolution(this.maxResolution_),f=this.minResolution_,w=Math.log(v/f)/B;return function(A){return Math.log(v/A)/B/w}},B.prototype.getViewportSizeMinusPadding_=function(A){var B=this.getViewportSize_(A),v=this.padding_;return v&&(B=[B[0]-v[1]-v[3],B[1]-v[0]-v[2]]),B},B.prototype.getState=function(){var A=this.getProjection(),B=this.getResolution(),v=this.getRotation(),f=this.getCenterInternal(),w=this.padding_;if(w){var g=this.getViewportSizeMinusPadding_();f=Qt(f,this.getViewportSize_(),[g[0]/2+w[3],g[1]/2+w[0]],B,v)}return{center:f.slice(0),projection:void 0!==A?A:null,resolution:B,nextCenter:this.nextCenter_,nextResolution:this.nextResolution_,nextRotation:this.nextRotation_,rotation:v,zoom:this.getZoom()}},B.prototype.getZoom=function(){var A,B=this.getResolution();return void 0!==B&&(A=this.getZoomForResolution(B)),A},B.prototype.getZoomForResolution=function(A){var B,v,f=this.minZoom_||0;if(this.resolutions_){var w=E(this.resolutions_,A,1);f=w,B=this.resolutions_[w],v=w==this.resolutions_.length-1?2:B/this.resolutions_[w+1]}else B=this.maxResolution_,v=this.zoomFactor_;return f+Math.log(B/A)/Math.log(v)},B.prototype.getResolutionForZoom=function(A){if(this.resolutions_){if(this.resolutions_.length<=1)return 0;var B=UB(Math.floor(A),0,this.resolutions_.length-2),v=this.resolutions_[B]/this.resolutions_[B+1];return this.resolutions_[B]/Math.pow(v,UB(A-B,0,1))}return this.maxResolution_/Math.pow(this.zoomFactor_,A-this.minZoom_)},B.prototype.fit=function(A,B){var v;if(fA(Array.isArray(A)||"function"==typeof A.getSimplifiedGeometry,24),Array.isArray(A))fA(!MB(A),25),v=Yf(f=jv(A,this.getProjection()));else if(A.getType()===uA){var f;(v=Yf(f=jv(A.getExtent(),this.getProjection()))).rotate(this.getRotation(),uB(f))}else{v=A}this.fitInternal(v,B)},B.prototype.rotatedExtentForGeometry=function(A){for(var B=this.getRotation(),v=Math.cos(B),f=Math.sin(-B),w=A.getFlatCoordinates(),g=A.getStride(),P=1/0,Q=1/0,C=-1/0,t=-1/0,e=0,D=w.length;e<D;e+=g){var E=w[e]*v-w[e+1]*f,r=w[e]*f+w[e+1]*v;P=Math.min(P,E),Q=Math.min(Q,r),C=Math.max(C,E),t=Math.max(t,r)}return[P,Q,C,t]},B.prototype.fitInternal=function(A,B){var v=B||{},f=v.size;f||(f=this.getViewportSizeMinusPadding_());var w,g=void 0!==v.padding?v.padding:[0,0,0,0],P=void 0!==v.nearest&&v.nearest;w=void 0!==v.minResolution?v.minResolution:void 0!==v.maxZoom?this.getResolutionForZoom(v.maxZoom):0;var Q=this.rotatedExtentForGeometry(A),C=this.getResolutionForExtentInternal(Q,[f[0]-g[1]-g[3],f[1]-g[0]-g[2]]);C=isNaN(C)?w:Math.max(C,w),C=this.getConstrainedResolution(C,P?0:1);var t=this.getRotation(),e=Math.sin(t),D=Math.cos(t),E=uB(Q);E[0]+=(g[1]-g[3])/2*C,E[1]+=(g[0]-g[2])/2*C;var r=E[0]*D-E[1]*e,n=E[1]*D+E[0]*e,o=this.getConstrainedCenter([r,n],C),s=v.callback?v.callback:i;void 0!==v.duration?this.animateInternal({resolution:C,center:o,duration:v.duration,easing:v.easing},s):(this.targetResolution_=C,this.targetCenter_=o,this.applyTargetState_(!1,!0),gt(s,!0))},B.prototype.centerOn=function(A,B,v){this.centerOnInternal(Ov(A,this.getProjection()),B,v)},B.prototype.centerOnInternal=function(A,B,v){this.setCenterInternal(Qt(A,B,v,this.getResolution(),this.getRotation()))},B.prototype.calculateCenterShift=function(A,B,v,f){var w,g=this.padding_;if(g&&A){var P=this.getViewportSizeMinusPadding_(-v),Q=Qt(A,f,[P[0]/2+g[3],P[1]/2+g[0]],B,v);w=[A[0]-Q[0],A[1]-Q[1]]}return w},B.prototype.isDef=function(){return!!this.getCenterInternal()&&void 0!==this.getResolution()},B.prototype.adjustCenter=function(A){var B=Yv(this.targetCenter_,this.getProjection());this.setCenter([B[0]+A[0],B[1]+A[1]])},B.prototype.adjustCenterInternal=function(A){var B=this.targetCenter_;this.setCenterInternal([B[0]+A[0],B[1]+A[1]])},B.prototype.adjustResolution=function(A,B){var v=B&&Ov(B,this.getProjection());this.adjustResolutionInternal(A,v)},B.prototype.adjustResolutionInternal=function(A,B){var v=this.getAnimating()||this.getInteracting(),f=this.getViewportSize_(this.getRotation()),w=this.constraints_.resolution(this.targetResolution_*A,0,f,v);B&&(this.targetCenter_=this.calculateCenterZoom(w,B)),this.targetResolution_*=A,this.applyTargetState_()},B.prototype.adjustZoom=function(A,B){this.adjustResolution(Math.pow(this.zoomFactor_,-A),B)},B.prototype.adjustRotation=function(A,B){B&&(B=Ov(B,this.getProjection())),this.adjustRotationInternal(A,B)},B.prototype.adjustRotationInternal=function(A,B){var v=this.getAnimating()||this.getInteracting(),f=this.constraints_.rotation(this.targetRotation_+A,v);B&&(this.targetCenter_=this.calculateCenterRotate(f,B)),this.targetRotation_+=A,this.applyTargetState_()},B.prototype.setCenter=function(A){this.setCenterInternal(Ov(A,this.getProjection()))},B.prototype.setCenterInternal=function(A){this.targetCenter_=A,this.applyTargetState_()},B.prototype.setHint=function(A,B){return this.hints_[A]+=B,this.changed(),this.hints_[A]},B.prototype.setResolution=function(A){this.targetResolution_=A,this.applyTargetState_()},B.prototype.setRotation=function(A){this.targetRotation_=A,this.applyTargetState_()},B.prototype.setZoom=function(A){this.setResolution(this.getResolutionForZoom(A))},B.prototype.applyTargetState_=function(A,B){var v=this.getAnimating()||this.getInteracting()||B,f=this.constraints_.rotation(this.targetRotation_,v),w=this.getViewportSize_(f),g=this.constraints_.resolution(this.targetResolution_,0,w,v),P=this.constraints_.center(this.targetCenter_,g,w,v,this.calculateCenterShift(this.targetCenter_,g,f,w));this.get(VC.ROTATION)!==f&&this.set(VC.ROTATION,f),this.get(VC.RESOLUTION)!==g&&(this.set(VC.RESOLUTION,g),this.set("zoom",this.getZoom(),!0)),P&&this.get(VC.CENTER)&&ov(this.get(VC.CENTER),P)||this.set(VC.CENTER,P),this.getAnimating()&&!A&&this.cancelAnimations(),this.cancelAnchor_=void 0},B.prototype.resolveConstraints=function(A,B,v){var f=void 0!==A?A:200,w=B||0,g=this.constraints_.rotation(this.targetRotation_),P=this.getViewportSize_(g),Q=this.constraints_.resolution(this.targetResolution_,w,P),C=this.constraints_.center(this.targetCenter_,Q,P,!1,this.calculateCenterShift(this.targetCenter_,Q,g,P));if(0===f&&!this.cancelAnchor_)return this.targetResolution_=Q,this.targetRotation_=g,this.targetCenter_=C,void this.applyTargetState_();var t=v||(0===f?this.cancelAnchor_:void 0);this.cancelAnchor_=void 0,this.getResolution()===Q&&this.getRotation()===g&&this.getCenterInternal()&&ov(this.getCenterInternal(),C)||(this.getAnimating()&&this.cancelAnimations(),this.animateInternal({rotation:g,center:C,resolution:Q,duration:f,easing:QC,anchor:t}))},B.prototype.beginInteraction=function(){this.resolveConstraints(0),this.setHint(ZP,1)},B.prototype.endInteraction=function(A,B,v){var f=v&&Ov(v,this.getProjection());this.endInteractionInternal(A,B,f)},B.prototype.endInteractionInternal=function(A,B,v){this.setHint(ZP,-1),this.resolveConstraints(A,B,v)},B.prototype.getConstrainedCenter=function(A,B){var v=this.getViewportSize_(this.getRotation());return this.constraints_.center(A,B||this.getResolution(),v)},B.prototype.getConstrainedZoom=function(A,B){var v=this.getResolutionForZoom(A);return this.getZoomForResolution(this.getConstrainedResolution(v,B))},B.prototype.getConstrainedResolution=function(A,B){var v=B||0,f=this.getViewportSize_(this.getRotation());return this.constraints_.resolution(A,v,f)},B}(Z);function gt(A,B){setTimeout((function(){A(B)}),0)}function Pt(A){return!(A.sourceCenter&&A.targetCenter&&!ov(A.sourceCenter,A.targetCenter))&&(A.sourceResolution===A.targetResolution&&A.sourceRotation===A.targetRotation)}function Qt(A,B,v,f,w){var g=Math.cos(-w),P=Math.sin(-w),Q=A[0]*g-A[1]*P,C=A[1]*g+A[0]*P;return[(Q+=(B[0]/2-v[0])*f)*g-(C+=(v[1]-B[1]/2)*f)*(P=-P),C*g+Q*P]}var Ct=wt,tt=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}();function et(A){A instanceof Mg?A.setMapInternal(null):A instanceof GC&&A.getLayers().forEach(et)}function Dt(A,B){if(A instanceof Mg)A.setMapInternal(B);else if(A instanceof GC)for(var v=A.getLayers().getArray(),f=0,w=v.length;f<w;++f)Dt(v[f],B)}var Et=function(A){function B(B){var v=A.call(this)||this;v.on,v.once,v.un;var f=function(A){var B=null;void 0!==A.keyboardEventTarget&&(B="string"==typeof A.keyboardEventTarget?document.getElementById(A.keyboardEventTarget):A.keyboardEventTarget);var v,f,w,g={},P=A.layers&&"function"==typeof A.layers.getLayers?A.layers:new GC({layers:A.layers});g[kC]=P,g[dC]=A.target,g[JC]=A.view instanceof Ct?A.view:new Ct,void 0!==A.controls&&(Array.isArray(A.controls)?v=new vA(A.controls.slice()):(fA("function"==typeof A.controls.getArray,47),v=A.controls));void 0!==A.interactions&&(Array.isArray(A.interactions)?f=new vA(A.interactions.slice()):(fA("function"==typeof A.interactions.getArray,48),f=A.interactions));void 0!==A.overlays?Array.isArray(A.overlays)?w=new vA(A.overlays.slice()):(fA("function"==typeof A.overlays.getArray,49),w=A.overlays):w=new vA;return{controls:v,interactions:f,keyboardEventTarget:B,overlays:w,values:g}}(B);v.renderComplete_,v.boundHandleBrowserEvent_=v.handleBrowserEvent.bind(v),v.maxTilesLoading_=void 0!==B.maxTilesLoading?B.maxTilesLoading:16,v.pixelRatio_=void 0!==B.pixelRatio?B.pixelRatio:MA,v.postRenderTimeoutHandle_,v.animationDelayKey_,v.animationDelay_=function(){this.animationDelayKey_=void 0,this.renderFrame_(Date.now())}.bind(v),v.coordinateToPixelTransform_=[1,0,0,1,0,0],v.pixelToCoordinateTransform_=[1,0,0,1,0,0],v.frameIndex_=0,v.frameState_=null,v.previousExtent_=null,v.viewPropertyListenerKey_=null,v.viewChangeListenerKey_=null,v.layerGroupPropertyListenerKeys_=null,v.viewport_=document.createElement("div"),v.viewport_.className="ol-viewport"+("ontouchstart"in window?" ol-touch":""),v.viewport_.style.position="relative",v.viewport_.style.overflow="hidden",v.viewport_.style.width="100%",v.viewport_.style.height="100%",v.overlayContainer_=document.createElement("div"),v.overlayContainer_.style.position="absolute",v.overlayContainer_.style.zIndex="0",v.overlayContainer_.style.width="100%",v.overlayContainer_.style.height="100%",v.overlayContainer_.style.pointerEvents="none",v.overlayContainer_.className="ol-overlaycontainer",v.viewport_.appendChild(v.overlayContainer_),v.overlayContainerStopEvent_=document.createElement("div"),v.overlayContainerStopEvent_.style.position="absolute",v.overlayContainerStopEvent_.style.zIndex="0",v.overlayContainerStopEvent_.style.width="100%",v.overlayContainerStopEvent_.style.height="100%",v.overlayContainerStopEvent_.style.pointerEvents="none",v.overlayContainerStopEvent_.className="ol-overlaycontainer-stopevent",v.viewport_.appendChild(v.overlayContainerStopEvent_),v.mapBrowserEventHandler_=null,v.moveTolerance_=B.moveTolerance,v.keyboardEventTarget_=f.keyboardEventTarget,v.targetChangeHandlerKeys_=null,v.controls=f.controls||new vA,v.interactions=f.interactions||new vA,v.overlays_=f.overlays,v.overlayIdIndex_={},v.renderer_=null,v.postRenderFunctions_=[],v.tileQueue_=new mC(v.getTilePriority.bind(v),v.handleTileChange_.bind(v)),v.addChangeListener(kC,v.handleLayerGroupChanged_),v.addChangeListener(JC,v.handleViewChanged_),v.addChangeListener(pC,v.handleSizeChanged_),v.addChangeListener(dC,v.handleTargetChanged_),v.setProperties(f.values);var w=v;return!B.view||B.view instanceof Ct||B.view.then((function(A){w.setView(new Ct(A))})),v.controls.addEventListener(q,function(A){A.element.setMap(this)}.bind(v)),v.controls.addEventListener(_,function(A){A.element.setMap(null)}.bind(v)),v.interactions.addEventListener(q,function(A){A.element.setMap(this)}.bind(v)),v.interactions.addEventListener(_,function(A){A.element.setMap(null)}.bind(v)),v.overlays_.addEventListener(q,function(A){this.addOverlayInternal_(A.element)}.bind(v)),v.overlays_.addEventListener(_,function(A){var B=A.element.getId();void 0!==B&&delete this.overlayIdIndex_[B.toString()],A.element.setMap(null)}.bind(v)),v.controls.forEach(function(A){A.setMap(this)}.bind(v)),v.interactions.forEach(function(A){A.setMap(this)}.bind(v)),v.overlays_.forEach(v.addOverlayInternal_.bind(v)),v}return tt(B,A),B.prototype.createRenderer=function(){throw new Error("Use a map type that has a createRenderer method")},B.prototype.addControl=function(A){this.getControls().push(A)},B.prototype.addInteraction=function(A){this.getInteractions().push(A)},B.prototype.addLayer=function(A){this.getLayerGroup().getLayers().push(A)},B.prototype.handleLayerAdd_=function(A){Dt(A.layer,this)},B.prototype.addOverlay=function(A){this.getOverlays().push(A)},B.prototype.addOverlayInternal_=function(A){var B=A.getId();void 0!==B&&(this.overlayIdIndex_[B.toString()]=A),A.setMap(this)},B.prototype.disposeInternal=function(){this.setTarget(null),A.prototype.disposeInternal.call(this)},B.prototype.forEachFeatureAtPixel=function(A,B,v){if(this.frameState_){var f=this.getCoordinateFromPixelInternal(A),w=void 0!==(v=void 0!==v?v:{}).hitTolerance?v.hitTolerance:0,g=void 0!==v.layerFilter?v.layerFilter:s,P=!1!==v.checkWrapped;return this.renderer_.forEachFeatureAtCoordinate(f,this.frameState_,w,P,B,null,g,null)}},B.prototype.getFeaturesAtPixel=function(A,B){var v=[];return this.forEachFeatureAtPixel(A,(function(A){v.push(A)}),B),v},B.prototype.getAllLayers=function(){var A=[];return function B(v){v.forEach((function(v){v instanceof GC?B(v.getLayers()):A.push(v)}))}(this.getLayers()),A},B.prototype.forEachLayerAtPixel=function(A,B,v){if(this.frameState_){var f=v||{},w=void 0!==f.hitTolerance?f.hitTolerance:0,g=f.layerFilter||s;return this.renderer_.forEachLayerAtPixel(A,this.frameState_,w,B,g)}},B.prototype.hasFeatureAtPixel=function(A,B){if(!this.frameState_)return!1;var v=this.getCoordinateFromPixelInternal(A),f=void 0!==(B=void 0!==B?B:{}).layerFilter?B.layerFilter:s,w=void 0!==B.hitTolerance?B.hitTolerance:0,g=!1!==B.checkWrapped;return this.renderer_.hasFeatureAtCoordinate(v,this.frameState_,w,g,f,null)},B.prototype.getEventCoordinate=function(A){return this.getCoordinateFromPixel(this.getEventPixel(A))},B.prototype.getEventCoordinateInternal=function(A){return this.getCoordinateFromPixelInternal(this.getEventPixel(A))},B.prototype.getEventPixel=function(A){var B=this.viewport_.getBoundingClientRect(),v="changedTouches"in A?A.changedTouches[0]:A;return[v.clientX-B.left,v.clientY-B.top]},B.prototype.getTarget=function(){return this.get(dC)},B.prototype.getTargetElement=function(){var A=this.getTarget();return void 0!==A?"string"==typeof A?document.getElementById(A):A:null},B.prototype.getCoordinateFromPixel=function(A){return Yv(this.getCoordinateFromPixelInternal(A),this.getView().getProjection())},B.prototype.getCoordinateFromPixelInternal=function(A){var B=this.frameState_;return B?OA(B.pixelToCoordinateTransform,A.slice()):null},B.prototype.getControls=function(){return this.controls},B.prototype.getOverlays=function(){return this.overlays_},B.prototype.getOverlayById=function(A){var B=this.overlayIdIndex_[A.toString()];return void 0!==B?B:null},B.prototype.getInteractions=function(){return this.interactions},B.prototype.getLayerGroup=function(){return this.get(kC)},B.prototype.setLayers=function(A){var B=this.getLayerGroup();if(A instanceof vA)B.setLayers(A);else{var v=B.getLayers();v.clear(),v.extend(A)}},B.prototype.getLayers=function(){return this.getLayerGroup().getLayers()},B.prototype.getLoading=function(){for(var A=this.getLayerGroup().getLayerStatesArray(),B=0,v=A.length;B<v;++B){var f=A[B].layer.getSource();if(f&&f.loading)return!0}return!1},B.prototype.getPixelFromCoordinate=function(A){var B=Ov(A,this.getView().getProjection());return this.getPixelFromCoordinateInternal(B)},B.prototype.getPixelFromCoordinateInternal=function(A){var B=this.frameState_;return B?OA(B.coordinateToPixelTransform,A.slice(0,2)):null},B.prototype.getRenderer=function(){return this.renderer_},B.prototype.getSize=function(){return this.get(pC)},B.prototype.getView=function(){return this.get(JC)},B.prototype.getViewport=function(){return this.viewport_},B.prototype.getOverlayContainer=function(){return this.overlayContainer_},B.prototype.getOverlayContainerStopEvent=function(){return this.overlayContainerStopEvent_},B.prototype.getOwnerDocument=function(){var A=this.getTargetElement();return A?A.ownerDocument:document},B.prototype.getTilePriority=function(A,B,v,f){return function(A,B,v,f,w){if(!A||!(v in A.wantedTiles))return KC;if(!A.wantedTiles[v][B.getKey()])return KC;var g=A.viewState.center,P=f[0]-g[0],Q=f[1]-g[1];return 65536*Math.log(w)+Math.sqrt(P*P+Q*Q)/w}(this.frameState_,A,B,v,f)},B.prototype.handleBrowserEvent=function(A,B){var v=B||A.type,f=new UC(v,this,A);this.handleMapBrowserEvent(f)},B.prototype.handleMapBrowserEvent=function(A){if(this.frameState_){var B=A.originalEvent,v=B.type;if(v===bC||v===j||v===R){var f=this.getOwnerDocument(),w=this.viewport_.getRootNode?this.viewport_.getRootNode():f,g=B.target;if(this.overlayContainerStopEvent_.contains(g)||!(w===f?f.documentElement:w).contains(g))return}if(A.frameState=this.frameState_,!1!==this.dispatchEvent(A))for(var P=this.getInteractions().getArray().slice(),Q=P.length-1;Q>=0;Q--){var C=P[Q];if(C.getMap()===this&&C.getActive()&&this.getTargetElement())if(!C.handleEvent(A)||A.propagationStopped)break}}},B.prototype.handlePostRender=function(){var A=this.frameState_,B=this.tileQueue_;if(!B.isEmpty()){var v=this.maxTilesLoading_,f=v;if(A){var w=A.viewHints;if(w[WP]||w[ZP]){var g=Date.now()-A.time>8;v=g?0:8,f=g?0:2}}B.getTilesLoading()<v&&(B.reprioritize(),B.loadMoreTiles(v,f))}A&&this.hasListener(pf)&&!A.animate&&this.renderComplete_&&this.renderer_.dispatchRenderEvent(pf,A);for(var P=this.postRenderFunctions_,Q=0,C=P.length;Q<C;++Q)P[Q](this,A);P.length=0},B.prototype.handleSizeChanged_=function(){this.getView()&&!this.getView().getAnimating()&&this.getView().resolveConstraints(0),this.render()},B.prototype.handleTargetChanged_=function(){if(this.mapBrowserEventHandler_){for(var A=0,B=this.targetChangeHandlerKeys_.length;A<B;++A)p(this.targetChangeHandlerKeys_[A]);this.targetChangeHandlerKeys_=null,this.viewport_.removeEventListener(h,this.boundHandleBrowserEvent_),this.viewport_.removeEventListener(j,this.boundHandleBrowserEvent_),this.mapBrowserEventHandler_.dispose(),this.mapBrowserEventHandler_=null,iw(this.viewport_)}var v=this.getTargetElement();if(v){for(var f in v.appendChild(this.viewport_),this.renderer_||(this.renderer_=this.createRenderer()),this.mapBrowserEventHandler_=new OC(this,this.moveTolerance_),XC)this.mapBrowserEventHandler_.addEventListener(XC[f],this.handleMapBrowserEvent.bind(this));this.viewport_.addEventListener(h,this.boundHandleBrowserEvent_,!1),this.viewport_.addEventListener(j,this.boundHandleBrowserEvent_,!!UA&&{passive:!1});var w=this.getOwnerDocument().defaultView,g=this.keyboardEventTarget_?this.keyboardEventTarget_:v;this.targetChangeHandlerKeys_=[y(g,R,this.handleBrowserEvent,this),y(g,b,this.handleBrowserEvent,this),y(w,O,this.updateSize,this)]}else this.renderer_&&(clearTimeout(this.postRenderTimeoutHandle_),this.postRenderTimeoutHandle_=void 0,this.postRenderFunctions_.length=0,this.renderer_.dispose(),this.renderer_=null),this.animationDelayKey_&&(cancelAnimationFrame(this.animationDelayKey_),this.animationDelayKey_=void 0);this.updateSize()},B.prototype.handleTileChange_=function(){this.render()},B.prototype.handleViewPropertyChanged_=function(){this.render()},B.prototype.handleViewChanged_=function(){this.viewPropertyListenerKey_&&(p(this.viewPropertyListenerKey_),this.viewPropertyListenerKey_=null),this.viewChangeListenerKey_&&(p(this.viewChangeListenerKey_),this.viewChangeListenerKey_=null);var A=this.getView();A&&(this.updateViewportSize_(),this.viewPropertyListenerKey_=y(A,C,this.handleViewPropertyChanged_,this),this.viewChangeListenerKey_=y(A,z,this.handleViewPropertyChanged_,this),A.resolveConstraints(0)),this.render()},B.prototype.handleLayerGroupChanged_=function(){this.layerGroupPropertyListenerKeys_&&(this.layerGroupPropertyListenerKeys_.forEach(p),this.layerGroupPropertyListenerKeys_=null);var A=this.getLayerGroup();A&&(this.handleLayerAdd_(new LC("addlayer",A)),this.layerGroupPropertyListenerKeys_=[y(A,C,this.render,this),y(A,z,this.render,this),y(A,"addlayer",this.handleLayerAdd_,this),y(A,"removelayer",this.handleLayerRemove_,this)]),this.render()},B.prototype.isRendered=function(){return!!this.frameState_},B.prototype.renderSync=function(){this.animationDelayKey_&&cancelAnimationFrame(this.animationDelayKey_),this.animationDelay_()},B.prototype.redrawText=function(){for(var A=this.getLayerGroup().getLayerStatesArray(),B=0,v=A.length;B<v;++B){var f=A[B].layer;f.hasRenderer()&&f.getRenderer().handleFontsChanged()}},B.prototype.render=function(){this.renderer_&&void 0===this.animationDelayKey_&&(this.animationDelayKey_=requestAnimationFrame(this.animationDelay_))},B.prototype.removeControl=function(A){return this.getControls().remove(A)},B.prototype.removeInteraction=function(A){return this.getInteractions().remove(A)},B.prototype.removeLayer=function(A){return this.getLayerGroup().getLayers().remove(A)},B.prototype.handleLayerRemove_=function(A){et(A.layer)},B.prototype.removeOverlay=function(A){return this.getOverlays().remove(A)},B.prototype.renderFrame_=function(A){var B=this,v=this.getSize(),w=this.getView(),g=this.frameState_,P=null;if(void 0!==v&&vw(v)&&w&&w.isDef()){var Q=w.getHints(this.frameState_?this.frameState_.viewHints:void 0),C=w.getState();if(P={animate:!1,coordinateToPixelTransform:this.coordinateToPixelTransform_,declutterTree:null,extent:cB(C.center,C.resolution,C.rotation,v),index:this.frameIndex_++,layerIndex:0,layerStatesArray:this.getLayerGroup().getLayerStatesArray(),pixelRatio:this.pixelRatio_,pixelToCoordinateTransform:this.pixelToCoordinateTransform_,postRenderFunctions:[],size:v,tileQueue:this.tileQueue_,time:A,usedTiles:{},viewState:C,viewHints:Q,wantedTiles:{},mapId:f(this),renderTargets:{}},C.nextCenter&&C.nextResolution){var t=isNaN(C.nextRotation)?C.rotation:C.nextRotation;P.nextExtent=cB(C.nextCenter,C.nextResolution,t,v)}}if(this.frameState_=P,this.renderer_.renderFrame(P),P){if(P.animate&&this.render(),Array.prototype.push.apply(this.postRenderFunctions_,P.postRenderFunctions),g)(!this.previousExtent_||!MB(this.previousExtent_)&&!eB(P.extent,this.previousExtent_))&&(this.dispatchEvent(new TC(jC,this,g)),this.previousExtent_=QB(this.previousExtent_));this.previousExtent_&&!P.viewHints[WP]&&!P.viewHints[ZP]&&!eB(P.extent,this.previousExtent_)&&(this.dispatchEvent(new TC(yC,this,P)),$A(P.extent,this.previousExtent_))}this.dispatchEvent(new TC(lC,this,P)),this.renderComplete_=!this.tileQueue_.getTilesLoading()&&!this.tileQueue_.getCount()&&!this.getLoading(),this.postRenderTimeoutHandle_||(this.postRenderTimeoutHandle_=setTimeout((function(){B.postRenderTimeoutHandle_=void 0,B.handlePostRender()}),0))},B.prototype.setLayerGroup=function(A){var B=this.getLayerGroup();B&&this.handleLayerRemove_(new LC("removelayer",B)),this.set(kC,A)},B.prototype.setSize=function(A){this.set(pC,A)},B.prototype.setTarget=function(A){this.set(dC,A)},B.prototype.setView=function(A){if(!A||A instanceof Ct)this.set(JC,A);else{this.set(JC,new Ct);var B=this;A.then((function(A){B.setView(new Ct(A))}))}},B.prototype.updateSize=function(){var A=this.getTargetElement(),B=void 0;if(A){var v=getComputedStyle(A),f=A.offsetWidth-parseFloat(v.borderLeftWidth)-parseFloat(v.paddingLeft)-parseFloat(v.paddingRight)-parseFloat(v.borderRightWidth),w=A.offsetHeight-parseFloat(v.borderTopWidth)-parseFloat(v.paddingTop)-parseFloat(v.paddingBottom)-parseFloat(v.borderBottomWidth);isNaN(f)||isNaN(w)||!vw(B=[f,w])&&(A.offsetWidth||A.offsetHeight||A.getClientRects().length)&&console.warn("No map visible because the map container's width or height are 0.")}this.setSize(B),this.updateViewportSize_()},B.prototype.updateViewportSize_=function(){var A=this.getView();if(A){var B=void 0,v=getComputedStyle(this.viewport_);v.width&&v.height&&(B=[parseInt(v.width,10),parseInt(v.height,10)]),A.setViewportSize(B)}},B}(Z);var rt=Et,nt=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),ot=function(A){function B(B){var v=A.call(this)||this,f=B.element;return!f||B.target||f.style.pointerEvents||(f.style.pointerEvents="auto"),v.element=f||null,v.target_=null,v.map_=null,v.listenerKeys=[],B.render&&(v.render=B.render),B.target&&v.setTarget(B.target),v}return nt(B,A),B.prototype.disposeInternal=function(){iw(this.element),A.prototype.disposeInternal.call(this)},B.prototype.getMap=function(){return this.map_},B.prototype.setMap=function(A){this.map_&&iw(this.element);for(var B=0,v=this.listenerKeys.length;B<v;++B)p(this.listenerKeys[B]);(this.listenerKeys.length=0,this.map_=A,this.map_)&&((this.target_?this.target_:A.getOverlayContainerStopEvent()).appendChild(this.element),this.render!==i&&this.listenerKeys.push(y(A,lC,this.render,this)),A.render())},B.prototype.render=function(A){},B.prototype.setTarget=function(A){this.target_="string"==typeof A?document.getElementById(A):A},B}(Z),st=Object.freeze({__proto__:null,default:ot}),Ft=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),it=function(A){function B(B){var v=this,f=B||{};(v=A.call(this,{element:document.createElement("div"),render:f.render,target:f.target})||this).ulElement_=document.createElement("ul"),v.collapsed_=void 0===f.collapsed||f.collapsed,v.userCollapsed_=v.collapsed_,v.overrideCollapsible_=void 0!==f.collapsible,v.collapsible_=void 0===f.collapsible||f.collapsible,v.collapsible_||(v.collapsed_=!1);var w=void 0!==f.className?f.className:"ol-attribution",g=void 0!==f.tipLabel?f.tipLabel:"Attributions",P=void 0!==f.expandClassName?f.expandClassName:w+"-expand",Q=void 0!==f.collapseLabel?f.collapseLabel:"›",C=void 0!==f.collapseClassName?f.collapseClassName:w+"-collpase";"string"==typeof Q?(v.collapseLabel_=document.createElement("span"),v.collapseLabel_.textContent=Q,v.collapseLabel_.className=C):v.collapseLabel_=Q;var t=void 0!==f.label?f.label:"i";"string"==typeof t?(v.label_=document.createElement("span"),v.label_.textContent=t,v.label_.className=P):v.label_=t;var e=v.collapsible_&&!v.collapsed_?v.collapseLabel_:v.label_;v.toggleButton_=document.createElement("button"),v.toggleButton_.setAttribute("type","button"),v.toggleButton_.setAttribute("aria-expanded",String(!v.collapsed_)),v.toggleButton_.title=g,v.toggleButton_.appendChild(e),v.toggleButton_.addEventListener(M,v.handleClick_.bind(v),!1);var D=w+" "+"ol-unselectable "+cw+(v.collapsed_&&v.collapsible_?" ol-collapsed":"")+(v.collapsible_?"":" ol-uncollapsible"),E=v.element;return E.className=D,E.appendChild(v.toggleButton_),E.appendChild(v.ulElement_),v.renderedAttributions_=[],v.renderedVisible_=!0,v}return Ft(B,A),B.prototype.collectSourceAttributions_=function(A){for(var B={},v=[],f=!0,w=A.layerStatesArray,g=0,P=w.length;g<P;++g){var Q=w[g];if(hg(Q,A.viewState)){var C=Q.layer.getSource();if(C){var t=C.getAttributions();if(t){var e=t(A);if(e)if(f=f&&!1!==C.getAttributionsCollapsible(),Array.isArray(e))for(var D=0,E=e.length;D<E;++D)e[D]in B||(v.push(e[D]),B[e[D]]=!0);else e in B||(v.push(e),B[e]=!0)}}}}return this.overrideCollapsible_||this.setCollapsible(f),v},B.prototype.updateElement_=function(A){if(A){var B=this.collectSourceAttributions_(A),v=B.length>0;if(this.renderedVisible_!=v&&(this.element.style.display=v?"":"none",this.renderedVisible_=v),!o(B,this.renderedAttributions_)){!function(A){for(;A.lastChild;)A.removeChild(A.lastChild)}(this.ulElement_);for(var f=0,w=B.length;f<w;++f){var g=document.createElement("li");g.innerHTML=B[f],this.ulElement_.appendChild(g)}this.renderedAttributions_=B}}else this.renderedVisible_&&(this.element.style.display="none",this.renderedVisible_=!1)},B.prototype.handleClick_=function(A){A.preventDefault(),this.handleToggle_(),this.userCollapsed_=this.collapsed_},B.prototype.handleToggle_=function(){this.element.classList.toggle(Iw),this.collapsed_?Fw(this.collapseLabel_,this.label_):Fw(this.label_,this.collapseLabel_),this.collapsed_=!this.collapsed_,this.toggleButton_.setAttribute("aria-expanded",String(!this.collapsed_))},B.prototype.getCollapsible=function(){return this.collapsible_},B.prototype.setCollapsible=function(A){this.collapsible_!==A&&(this.collapsible_=A,this.element.classList.toggle("ol-uncollapsible"),this.userCollapsed_&&this.handleToggle_())},B.prototype.setCollapsed=function(A){this.userCollapsed_=A,this.collapsible_&&this.collapsed_!==A&&this.handleToggle_()},B.prototype.getCollapsed=function(){return this.collapsed_},B.prototype.render=function(A){this.updateElement_(A.frameState)},B}(ot),ut=it,Ht=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),ct=function(A){function B(B){var v=this,f=B||{};v=A.call(this,{element:document.createElement("div"),render:f.render,target:f.target})||this;var w=void 0!==f.className?f.className:"ol-rotate",g=void 0!==f.label?f.label:"⇧",P=void 0!==f.compassClassName?f.compassClassName:"ol-compass";v.label_=null,"string"==typeof g?(v.label_=document.createElement("span"),v.label_.className=P,v.label_.textContent=g):(v.label_=g,v.label_.classList.add(P));var Q=f.tipLabel?f.tipLabel:"Reset 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f=B.getConstrainedZoom(v+A);this.duration_>0?(B.getAnimating()&&B.cancelAnimations(),B.animate({zoom:f,duration:this.duration_,easing:QC})):B.setZoom(f)}}},B}(ot),zt=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),Gt="units",ht="degrees",Mt="imperial",Tt="nautical",xt="metric",Ut="us",Xt=[1,2,5],Rt=25.4/.28,bt=function(A){function B(B){var v=this,f=B||{},w=void 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B=A.center,v=A.projection,f=this.getUnits(),w=f==ht?IA.DEGREES:IA.METERS,g=zv(v,A.resolution,B,w),P=this.minWidth_*(this.dpi_||Rt)/Rt,Q=P*g,C="";if(f==ht){var t=cA[IA.DEGREES];(Q*=t)<t/60?(C="″",g*=3600):Q<t?(C="′",g*=60):C="°"}else f==Mt?Q<.9144?(C="in",g/=.0254):Q<1609.344?(C="ft",g/=.3048):(C="mi",g/=1609.344):f==Tt?(g/=1852,C="nm"):f==xt?Q<.001?(C="μm",g*=1e6):Q<1?(C="mm",g*=1e3):Q<1e3?C="m":(C="km",g/=1e3):f==Ut?Q<.9144?(C="in",g*=39.37):Q<1609.344?(C="ft",g/=.30480061):(C="mi",g/=1609.3472):fA(!1,33);for(var e,D,E,r,n=3*Math.floor(Math.log(P*g)/Math.log(10));;){E=Math.floor(n/3);var o=Math.pow(10,E);if(e=Xt[(n%3+3)%3]*o,D=Math.round(e/g),isNaN(D))return this.element.style.display="none",void(this.renderedVisible_=!1);if(D>=P)break;++n}r=this.scaleBar_?this.createScaleBar(D,e,C):e.toFixed(E<0?-E:0)+" 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A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}();function jt(A,B,v,f){var w=A.getZoom();if(void 0!==w){var g=A.getConstrainedZoom(w+B),P=A.getResolutionForZoom(g);A.getAnimating()&&A.cancelAnimations(),A.animate({resolution:P,anchor:v,duration:void 0!==f?f:250,easing:QC})}}var yt=function(A){function B(B){var v=A.call(this)||this;return v.on,v.once,v.un,B&&B.handleEvent&&(v.handleEvent=B.handleEvent),v.map_=null,v.setActive(!0),v}return lt(B,A),B.prototype.getActive=function(){return this.get(Ot)},B.prototype.getMap=function(){return 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B=A.map,v=B.getView();if(0===this.targetPointers.length){if(!this.noKinetic_&&this.kinetic_&&this.kinetic_.end()){var f=this.kinetic_.getDistance(),w=this.kinetic_.getAngle(),g=v.getCenterInternal(),P=B.getPixelFromCoordinateInternal(g),Q=B.getCoordinateFromPixelInternal([P[0]-f*Math.cos(w),P[1]-f*Math.sin(w)]);v.animateInternal({center:v.getConstrainedCenter(Q),duration:500,easing:QC})}return this.panning_&&(this.panning_=!1,v.endInteraction()),!1}return this.kinetic_&&this.kinetic_.begin(),this.lastCentroid=null,!0},B.prototype.handleDownEvent=function(A){if(this.targetPointers.length>0&&this.condition_(A)){var B=A.map.getView();return this.lastCentroid=null,B.getAnimating()&&B.cancelAnimations(),this.kinetic_&&this.kinetic_.begin(),this.noKinetic_=this.targetPointers.length>1,!0}return!1},B}(Kt),ge=we,Pe=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),Qe=function(A){function B(B){var v=this,f=B||{};return(v=A.call(this,{stopDown:F})||this).condition_=f.condition?f.condition:Nt,v.lastAngle_=void 0,v.duration_=void 0!==f.duration?f.duration:250,v}return Pe(B,A),B.prototype.handleDragEvent=function(A){if(Be(A)){var B=A.map,v=B.getView();if(v.getConstraints().rotation!==Bt){var f=B.getSize(),w=A.pixel,g=Math.atan2(f[1]/2-w[1],w[0]-f[0]/2);if(void 0!==this.lastAngle_){var P=g-this.lastAngle_;v.adjustRotationInternal(-P)}this.lastAngle_=g}}},B.prototype.handleUpEvent=function(A){return!Be(A)||(A.map.getView().endInteraction(this.duration_),!1)},B.prototype.handleDownEvent=function(A){return!!Be(A)&&(!(!Wt(A)||!this.condition_(A))&&(A.map.getView().beginInteraction(),this.lastAngle_=void 0,!0))},B}(Kt),Ce=Qe,te=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),ee=function(A){function B(B){var v=A.call(this)||this;return v.geometry_=null,v.element_=document.createElement("div"),v.element_.style.position="absolute",v.element_.style.pointerEvents="auto",v.element_.className="ol-box "+B,v.map_=null,v.startPixel_=null,v.endPixel_=null,v}return te(B,A),B.prototype.disposeInternal=function(){this.setMap(null)},B.prototype.render_=function(){var A=this.startPixel_,B=this.endPixel_,v="px",f=this.element_.style;f.left=Math.min(A[0],B[0])+v,f.top=Math.min(A[1],B[1])+v,f.width=Math.abs(B[0]-A[0])+v,f.height=Math.abs(B[1]-A[1])+v},B.prototype.setMap=function(A){if(this.map_){this.map_.getOverlayContainer().removeChild(this.element_);var B=this.element_.style;B.left="inherit",B.top="inherit",B.width="inherit",B.height="inherit"}this.map_=A,this.map_&&this.map_.getOverlayContainer().appendChild(this.element_)},B.prototype.setPixels=function(A,B){this.startPixel_=A,this.endPixel_=B,this.createOrUpdateGeometry(),this.render_()},B.prototype.createOrUpdateGeometry=function(){var A=this.startPixel_,B=this.endPixel_,v=[A,[A[0],B[1]],B,[B[0],A[1]]].map(this.map_.getCoordinateFromPixelInternal,this.map_);v[4]=v[0].slice(),this.geometry_?this.geometry_.setCoordinates([v]):this.geometry_=new bf([v])},B.prototype.getGeometry=function(){return this.geometry_},B}(t),De=ee,Ee=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),re="boxstart",ne="boxdrag",oe="boxend",se="boxcancel",Fe=function(A){function B(B,v,f){var w=A.call(this,B)||this;return w.coordinate=v,w.mapBrowserEvent=f,w}return Ee(B,A),B}(Q),ie=function(A){function B(B){var v=A.call(this)||this;v.on,v.once,v.un;var f=B||{};return v.box_=new De(f.className||"ol-dragbox"),v.minArea_=void 0!==f.minArea?f.minArea:64,f.onBoxEnd&&(v.onBoxEnd=f.onBoxEnd),v.startPixel_=null,v.condition_=f.condition?f.condition:Wt,v.boxEndCondition_=f.boxEndCondition?f.boxEndCondition:v.defaultBoxEndCondition,v}return Ee(B,A),B.prototype.defaultBoxEndCondition=function(A,B,v){var f=v[0]-B[0],w=v[1]-B[1];return f*f+w*w>=this.minArea_},B.prototype.getGeometry=function(){return this.box_.getGeometry()},B.prototype.handleDragEvent=function(A){this.box_.setPixels(this.startPixel_,A.pixel),this.dispatchEvent(new Fe(ne,A.coordinate,A))},B.prototype.handleUpEvent=function(A){this.box_.setMap(null);var B=this.boxEndCondition_(A,this.startPixel_,A.pixel);return B&&this.onBoxEnd(A),this.dispatchEvent(new Fe(B?oe:se,A.coordinate,A)),!1},B.prototype.handleDownEvent=function(A){return!!this.condition_(A)&&(this.startPixel_=A.pixel,this.box_.setMap(A.map),this.box_.setPixels(this.startPixel_,this.startPixel_),this.dispatchEvent(new Fe(re,A.coordinate,A)),!0)},B.prototype.onBoxEnd=function(A){},B}(Kt),ue=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),He=function(A){function B(B){var v=this,f=B||{},w=f.condition?f.condition:$t;return(v=A.call(this,{condition:w,className:f.className||"ol-dragzoom",minArea:f.minArea})||this).duration_=void 0!==f.duration?f.duration:200,v.out_=void 0!==f.out&&f.out,v}return ue(B,A),B.prototype.onBoxEnd=function(A){var B=this.getMap().getView(),v=this.getGeometry();if(this.out_){var f=B.rotatedExtentForGeometry(v),w=B.getResolutionForExtentInternal(f),g=B.getResolution()/w;(v=v.clone()).scale(g*g)}B.fitInternal(v,{duration:this.duration_,easing:QC})},B}(ie),ce=37,Ie=38,ae=39,Le=40,ze=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),Ge=function(A){function B(B){var v=A.call(this)||this,f=B||{};return v.defaultCondition_=function(A){return _t(A)&&Ae(A)},v.condition_=void 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0,this.lastDelta_?this.lastDelta_>0?1:-1:0,this.lastAnchor_)},B.prototype.handleEvent=function(A){if(!this.condition_(A))return!0;if(A.type!==j)return!0;var B,v=A.map,f=A.originalEvent;if(f.preventDefault(),this.useAnchor_&&(this.lastAnchor_=A.coordinate),A.type==j&&(B=f.deltaY,LA&&f.deltaMode===WheelEvent.DOM_DELTA_PIXEL&&(B/=MA),f.deltaMode===WheelEvent.DOM_DELTA_LINE&&(B*=40)),0===B)return!1;this.lastDelta_=B;var w=Date.now();void 0===this.startTime_&&(this.startTime_=w),(!this.mode_||w-this.startTime_>this.trackpadEventGap_)&&(this.mode_=Math.abs(B)<4?xe:Ue);var g=v.getView();if(this.mode_===xe&&!g.getConstrainResolution()&&!this.constrainResolution_)return this.trackpadTimeoutId_?clearTimeout(this.trackpadTimeoutId_):(g.getAnimating()&&g.cancelAnimations(),g.beginInteraction()),this.trackpadTimeoutId_=setTimeout(this.endInteraction_.bind(this),this.timeout_),g.adjustZoom(-B/this.deltaPerZoom_,this.lastAnchor_),this.startTime_=w,!1;this.totalDelta_+=B;var P=Math.max(this.timeout_-(w-this.startTime_),0);return clearTimeout(this.timeoutId_),this.timeoutId_=setTimeout(this.handleWheelZoom_.bind(this,v),P),!1},B.prototype.handleWheelZoom_=function(A){var B=A.getView();B.getAnimating()&&B.cancelAnimations();var v=-UB(this.totalDelta_,-this.maxDelta_*this.deltaPerZoom_,this.maxDelta_*this.deltaPerZoom_)/this.deltaPerZoom_;(B.getConstrainResolution()||this.constrainResolution_)&&(v=v?v>0?1:-1:0),jt(B,v,this.lastAnchor_,this.duration_),this.mode_=void 0,this.totalDelta_=0,this.lastAnchor_=null,this.startTime_=void 0,this.timeoutId_=void 0},B.prototype.setMouseAnchor=function(A){this.useAnchor_=A,A||(this.lastAnchor_=null)},B}(yt),Re=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),be=function(A){function B(B){var v=this,f=B||{},w=f;return w.stopDown||(w.stopDown=F),(v=A.call(this,w)||this).anchor_=null,v.lastAngle_=void 0,v.rotating_=!1,v.rotationDelta_=0,v.threshold_=void 0!==f.threshold?f.threshold:.3,v.duration_=void 0!==f.duration?f.duration:250,v}return Re(B,A),B.prototype.handleDragEvent=function(A){var B=0,v=this.targetPointers[0],f=this.targetPointers[1],w=Math.atan2(f.clientY-v.clientY,f.clientX-v.clientX);if(void 0!==this.lastAngle_){var g=w-this.lastAngle_;this.rotationDelta_+=g,!this.rotating_&&Math.abs(this.rotationDelta_)>this.threshold_&&(this.rotating_=!0),B=g}this.lastAngle_=w;var P=A.map,Q=P.getView();if(Q.getConstraints().rotation!==Bt){var C=P.getViewport().getBoundingClientRect(),t=Jt(this.targetPointers);t[0]-=C.left,t[1]-=C.top,this.anchor_=P.getCoordinateFromPixelInternal(t),this.rotating_&&(P.render(),Q.adjustRotationInternal(B,this.anchor_))}},B.prototype.handleUpEvent=function(A){return!(this.targetPointers.length<2)||(A.map.getView().endInteraction(this.duration_),!1)},B.prototype.handleDownEvent=function(A){if(this.targetPointers.length>=2){var B=A.map;return this.anchor_=null,this.lastAngle_=void 0,this.rotating_=!1,this.rotationDelta_=0,this.handlingDownUpSequence||B.getView().beginInteraction(),!0}return!1},B}(Kt),Ye=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),Oe=function(A){function B(B){var v=this,f=B||{},w=f;return w.stopDown||(w.stopDown=F),(v=A.call(this,w)||this).anchor_=null,v.duration_=void 0!==f.duration?f.duration:400,v.lastDistance_=void 0,v.lastScaleDelta_=1,v}return Ye(B,A),B.prototype.handleDragEvent=function(A){var B=1,v=this.targetPointers[0],f=this.targetPointers[1],w=v.clientX-f.clientX,g=v.clientY-f.clientY,P=Math.sqrt(w*w+g*g);void 0!==this.lastDistance_&&(B=this.lastDistance_/P),this.lastDistance_=P;var Q=A.map,C=Q.getView();1!=B&&(this.lastScaleDelta_=B);var t=Q.getViewport().getBoundingClientRect(),e=Jt(this.targetPointers);e[0]-=t.left,e[1]-=t.top,this.anchor_=Q.getCoordinateFromPixelInternal(e),Q.render(),C.adjustResolutionInternal(B,this.anchor_)},B.prototype.handleUpEvent=function(A){if(this.targetPointers.length<2){var B=A.map.getView(),v=this.lastScaleDelta_>1?1:-1;return B.endInteraction(this.duration_,v),!1}return!0},B.prototype.handleDownEvent=function(A){if(this.targetPointers.length>=2){var B=A.map;return this.anchor_=null,this.lastDistance_=void 0,this.lastScaleDelta_=1,this.handlingDownUpSequence||B.getView().beginInteraction(),!0}return!1},B}(Kt),le=Oe,je=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),ye="addfeatures",ke=function(A){function B(B,v,f,w){var g=A.call(this,B)||this;return g.features=f,g.file=v,g.projection=w,g}return je(B,A),B}(Q),pe=function(A){function B(B){var v=this,f=B||{};(v=A.call(this,{handleEvent:s})||this).on,v.once,v.un,v.readAsBuffer_=!1,v.formats_=[];for(var w=f.formatConstructors?f.formatConstructors:[],g=0,P=w.length;g<P;++g){var Q=w[g];"function"==typeof Q&&(Q=new Q),v.formats_.push(Q),v.readAsBuffer_=v.readAsBuffer_||Q.getType()===NQ}return v.projection_=f.projection?Lv(f.projection):null,v.dropListenKeys_=null,v.source_=f.source||null,v.target=f.target?f.target:null,v}return je(B,A),B.prototype.handleResult_=function(A,B){var v,f=B.target.result,w=this.getMap(),g=this.projection_;g||(g=w.getView().getProjection());for(var P=this.formats_,Q=0,C=P.length;Q<C;++Q){var t=P[Q],e=f;this.readAsBuffer_&&t.getType()!==NQ&&(void 0===v&&(v=(new TextDecoder).decode(f)),e=v);var D=this.tryReadFeatures_(t,e,{featureProjection:g});if(D&&D.length>0){this.source_&&(this.source_.clear(),this.source_.addFeatures(D)),this.dispatchEvent(new ke(ye,A,D,g));break}}},B.prototype.registerListeners_=function(){var A=this.getMap();if(A){var B=this.target?this.target:A.getViewport();this.dropListenKeys_=[y(B,X,this.handleDrop,this),y(B,x,this.handleStop,this),y(B,U,this.handleStop,this),y(B,X,this.handleStop,this)]}},B.prototype.setActive=function(B){!this.getActive()&&B&&this.registerListeners_(),this.getActive()&&!B&&this.unregisterListeners_(),A.prototype.setActive.call(this,B)},B.prototype.setMap=function(B){this.unregisterListeners_(),A.prototype.setMap.call(this,B),this.getActive()&&this.registerListeners_()},B.prototype.tryReadFeatures_=function(A,B,v){try{return A.readFeatures(B,v)}catch(A){return null}},B.prototype.unregisterListeners_=function(){this.dropListenKeys_&&(this.dropListenKeys_.forEach(p),this.dropListenKeys_=null)},B.prototype.handleDrop=function(A){for(var B=A.dataTransfer.files,v=0,f=B.length;v<f;++v){var w=B.item(v),g=new FileReader;g.addEventListener(Y,this.handleResult_.bind(this,w)),this.readAsBuffer_?g.readAsArrayBuffer(w):g.readAsText(w)}},B.prototype.handleStop=function(A){A.stopPropagation(),A.preventDefault(),A.dataTransfer.dropEffect="copy"},B}(yt),de=pe,Je=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),Ke=function(A){function B(B){var v=this,f=B||{};return(v=A.call(this,f)||this).condition_=f.condition?f.condition:$t,v.lastAngle_=void 0,v.lastMagnitude_=void 0,v.lastScaleDelta_=0,v.duration_=void 0!==f.duration?f.duration:400,v}return Je(B,A),B.prototype.handleDragEvent=function(A){if(Be(A)){var B=A.map,v=B.getSize(),f=A.pixel,w=f[0]-v[0]/2,g=v[1]/2-f[1],P=Math.atan2(g,w),Q=Math.sqrt(w*w+g*g),C=B.getView();if(void 0!==this.lastAngle_){var t=this.lastAngle_-P;C.adjustRotationInternal(t)}this.lastAngle_=P,void 0!==this.lastMagnitude_&&C.adjustResolutionInternal(this.lastMagnitude_/Q),void 0!==this.lastMagnitude_&&(this.lastScaleDelta_=this.lastMagnitude_/Q),this.lastMagnitude_=Q}},B.prototype.handleUpEvent=function(A){if(!Be(A))return!0;var B=A.map.getView(),v=this.lastScaleDelta_>1?1:-1;return B.endInteraction(this.duration_,v),this.lastScaleDelta_=0,!1},B.prototype.handleDownEvent=function(A){return!!Be(A)&&(!!this.condition_(A)&&(A.map.getView().beginInteraction(),this.lastAngle_=void 0,this.lastMagnitude_=void 0,!0))},B}(Kt),Se=Ke,Ne=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),me=function(A){function B(B,v,f){var w=A.call(this)||this;if(void 0!==f&&void 0===v)w.setFlatCoordinates(f,B);else{var g=v||0;w.setCenterAndRadius(B,g,f)}return w}return Ne(B,A),B.prototype.clone=function(){var A=new B(this.flatCoordinates.slice(),void 0,this.layout);return A.applyProperties(this),A},B.prototype.closestPointXY=function(A,B,v,f){var w=this.flatCoordinates,g=A-w[0],P=B-w[1],Q=g*g+P*P;if(Q<f){if(0===Q)for(var C=0;C<this.stride;++C)v[C]=w[C];else{var t=this.getRadius()/Math.sqrt(Q);v[0]=w[0]+t*g,v[1]=w[1]+t*P;for(C=2;C<this.stride;++C)v[C]=w[C]}return v.length=this.stride,Q}return f},B.prototype.containsXY=function(A,B){var v=this.flatCoordinates,f=A-v[0],w=B-v[1];return f*f+w*w<=this.getRadiusSquared_()},B.prototype.getCenter=function(){return this.flatCoordinates.slice(0,this.stride)},B.prototype.computeExtent=function(A){var B=this.flatCoordinates,v=B[this.stride]-B[0];return PB(B[0]-v,B[1]-v,B[0]+v,B[1]+v,A)},B.prototype.getRadius=function(){return Math.sqrt(this.getRadiusSquared_())},B.prototype.getRadiusSquared_=function(){var A=this.flatCoordinates[this.stride]-this.flatCoordinates[0],B=this.flatCoordinates[this.stride+1]-this.flatCoordinates[1];return A*A+B*B},B.prototype.getType=function(){return uA},B.prototype.intersectsExtent=function(A){if(hB(A,this.getExtent())){var B=this.getCenter();return A[0]<=B[0]&&A[2]>=B[0]||(A[1]<=B[1]&&A[3]>=B[1]||oB(A,this.intersectsCoordinate.bind(this)))}return!1},B.prototype.setCenter=function(A){var B=this.stride,v=this.flatCoordinates[B]-this.flatCoordinates[0],f=A.slice();f[B]=f[0]+v;for(var w=1;w<B;++w)f[B+w]=A[w];this.setFlatCoordinates(this.layout,f),this.changed()},B.prototype.setCenterAndRadius=function(A,B,v){this.setLayout(v,A,0),this.flatCoordinates||(this.flatCoordinates=[]);var f=this.flatCoordinates,w=Bf(f,0,A,this.stride);f[w++]=f[0]+B;for(var g=1,P=this.stride;g<P;++g)f[w++]=f[g];f.length=w,this.changed()},B.prototype.getCoordinates=function(){return null},B.prototype.setCoordinates=function(A,B){},B.prototype.setRadius=function(A){this.flatCoordinates[this.stride]=this.flatCoordinates[0]+A,this.changed()},B.prototype.rotate=function(A,B){var v=this.getCenter(),f=this.getStride();this.setCenter(kv(v,0,v.length,f,A,B,v)),this.changed()},B.prototype.translate=function(A,B){var v=this.getCenter(),f=this.getStride();this.setCenter(pv(v,0,v.length,f,A,B,v)),this.changed()},B}(Wv);me.prototype.transform;var Ve=me,We=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),Ze=function(A){function B(B,v,f){var w=A.call(this)||this;if(w.ends_=[],w.maxDelta_=-1,w.maxDeltaRevision_=-1,Array.isArray(B[0]))w.setCoordinates(B,v);else if(void 0!==v&&f)w.setFlatCoordinates(v,B),w.ends_=f;else{for(var g=w.getLayout(),P=B,Q=[],C=[],t=0,e=P.length;t<e;++t){var D=P[t];0===t&&(g=D.getLayout()),n(Q,D.getFlatCoordinates()),C.push(Q.length)}w.setFlatCoordinates(g,Q),w.ends_=C}return w}return We(B,A),B.prototype.appendLineString=function(A){this.flatCoordinates?n(this.flatCoordinates,A.getFlatCoordinates().slice()):this.flatCoordinates=A.getFlatCoordinates().slice(),this.ends_.push(this.flatCoordinates.length),this.changed()},B.prototype.clone=function(){var A=new B(this.flatCoordinates.slice(),this.layout,this.ends_.slice());return A.applyProperties(this),A},B.prototype.closestPointXY=function(A,B,v,f){return f<AB(this.getExtent(),A,B)?f:(this.maxDeltaRevision_!=this.getRevision()&&(this.maxDelta_=Math.sqrt(_v(this.flatCoordinates,0,this.ends_,this.stride,0)),this.maxDeltaRevision_=this.getRevision()),Af(this.flatCoordinates,0,this.ends_,this.stride,this.maxDelta_,!1,A,B,v,f))},B.prototype.getCoordinateAtM=function(A,B,v){if(this.layout!=tA&&this.layout!=eA||0===this.flatCoordinates.length)return null;var f=void 0!==B&&B,w=void 0!==v&&v;return function(A,B,v,f,w,g,P){if(P)return Kf(A,B,v[v.length-1],f,w,g);var Q;if(w<A[f-1])return g?((Q=A.slice(0,f))[f-1]=w,Q):null;if(A[A.length-1]<w)return g?((Q=A.slice(A.length-f))[f-1]=w,Q):null;for(var C=0,t=v.length;C<t;++C){var e=v[C];if(B!=e){if(w<A[B+f-1])return null;if(w<=A[e-1])return Kf(A,B,e,f,w,!1);B=e}}return null}(this.flatCoordinates,0,this.ends_,this.stride,A,f,w)},B.prototype.getCoordinates=function(){return tf(this.flatCoordinates,0,this.ends_,this.stride)},B.prototype.getEnds=function(){return this.ends_},B.prototype.getLineString=function(A){return A<0||this.ends_.length<=A?null:new Vf(this.flatCoordinates.slice(0===A?0:this.ends_[A-1],this.ends_[A]),this.layout)},B.prototype.getLineStrings=function(){for(var A=this.flatCoordinates,B=this.ends_,v=this.layout,f=[],w=0,g=0,P=B.length;g<P;++g){var Q=B[g],C=new Vf(A.slice(w,Q),v);f.push(C),w=Q}return f},B.prototype.getFlatMidpoints=function(){for(var A=[],B=this.flatCoordinates,v=0,f=this.ends_,w=this.stride,g=0,P=f.length;g<P;++g){var Q=f[g];n(A,Jf(B,v,Q,w,.5)),v=Q}return A},B.prototype.getSimplifiedGeometryInternal=function(A){var v=[],f=[];return v.length=function(A,B,v,f,w,g,P,Q){for(var C=0,t=v.length;C<t;++C){var e=v[C];P=wf(A,B,e,f,w,g,P),Q.push(P),B=e}return P}(this.flatCoordinates,0,this.ends_,this.stride,A,v,0,f),new B(v,QA,f)},B.prototype.getType=function(){return sA},B.prototype.intersectsExtent=function(A){return function(A,B,v,f,w){for(var g=0,P=v.length;g<P;++g){if(Gf(A,B,v[g],f,w))return!0;B=v[g]}return!1}(this.flatCoordinates,0,this.ends_,this.stride,A)},B.prototype.setCoordinates=function(A,B){this.setLayout(B,A,2),this.flatCoordinates||(this.flatCoordinates=[]);var v=ff(this.flatCoordinates,0,A,this.stride,this.ends_);this.flatCoordinates.length=0===v.length?0:v[v.length-1],this.changed()},B}(Wv),qe=Ze,_e=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),$e=function(A){function B(B,v){var f=A.call(this)||this;return v&&!Array.isArray(B[0])?f.setFlatCoordinates(v,B):f.setCoordinates(B,v),f}return _e(B,A),B.prototype.appendPoint=function(A){this.flatCoordinates?n(this.flatCoordinates,A.getFlatCoordinates()):this.flatCoordinates=A.getFlatCoordinates().slice(),this.changed()},B.prototype.clone=function(){var A=new B(this.flatCoordinates.slice(),this.layout);return A.applyProperties(this),A},B.prototype.closestPointXY=function(A,B,v,f){if(f<AB(this.getExtent(),A,B))return f;for(var w=this.flatCoordinates,g=this.stride,P=0,Q=w.length;P<Q;P+=g){var C=YB(A,B,w[P],w[P+1]);if(C<f){f=C;for(var t=0;t<g;++t)v[t]=w[P+t];v.length=g}}return f},B.prototype.getCoordinates=function(){return Cf(this.flatCoordinates,0,this.flatCoordinates.length,this.stride)},B.prototype.getPoint=function(A){var B=this.flatCoordinates?this.flatCoordinates.length/this.stride:0;return A<0||B<=A?null:new uf(this.flatCoordinates.slice(A*this.stride,(A+1)*this.stride),this.layout)},B.prototype.getPoints=function(){for(var A=this.flatCoordinates,B=this.layout,v=this.stride,f=[],w=0,g=A.length;w<g;w+=v){var P=new uf(A.slice(w,w+v),B);f.push(P)}return f},B.prototype.getType=function(){return oA},B.prototype.intersectsExtent=function(A){for(var B=this.flatCoordinates,v=this.stride,f=0,w=B.length;f<w;f+=v){if(fB(A,B[f],B[f+1]))return!0}return!1},B.prototype.setCoordinates=function(A,B){this.setLayout(B,A,1),this.flatCoordinates||(this.flatCoordinates=[]),this.flatCoordinates.length=vf(this.flatCoordinates,0,A,this.stride),this.changed()},B}(Wv),AD=$e;function BD(A,B,v,f){for(var w=[],g=[1/0,1/0,-1/0,-1/0],P=0,Q=v.length;P<Q;++P){var C=v[P];g=tB(A,B,C[0],f),w.push((g[0]+g[2])/2,(g[1]+g[3])/2),B=C[C.length-1]}return w}var vD=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),fD=function(A){function B(B,v,f){var w=A.call(this)||this;if(w.endss_=[],w.flatInteriorPointsRevision_=-1,w.flatInteriorPoints_=null,w.maxDelta_=-1,w.maxDeltaRevision_=-1,w.orientedRevision_=-1,w.orientedFlatCoordinates_=null,!f&&!Array.isArray(B[0])){for(var g=w.getLayout(),P=B,Q=[],C=[],t=0,e=P.length;t<e;++t){var D=P[t];0===t&&(g=D.getLayout());for(var E=Q.length,r=D.getEnds(),o=0,s=r.length;o<s;++o)r[o]+=E;n(Q,D.getFlatCoordinates()),C.push(r)}v=g,B=Q,f=C}return void 0!==v&&f?(w.setFlatCoordinates(v,B),w.endss_=f):w.setCoordinates(B,v),w}return vD(B,A),B.prototype.appendPolygon=function(A){var B;if(this.flatCoordinates){var v=this.flatCoordinates.length;n(this.flatCoordinates,A.getFlatCoordinates());for(var f=0,w=(B=A.getEnds().slice()).length;f<w;++f)B[f]+=v}else this.flatCoordinates=A.getFlatCoordinates().slice(),B=A.getEnds().slice(),this.endss_.push();this.endss_.push(B),this.changed()},B.prototype.clone=function(){for(var A=this.endss_.length,v=new Array(A),f=0;f<A;++f)v[f]=this.endss_[f].slice();var w=new B(this.flatCoordinates.slice(),this.layout,v);return w.applyProperties(this),w},B.prototype.closestPointXY=function(A,B,v,f){return f<AB(this.getExtent(),A,B)?f:(this.maxDeltaRevision_!=this.getRevision()&&(this.maxDelta_=Math.sqrt(function(A,B,v,f,w){for(var g=0,P=v.length;g<P;++g){var Q=v[g];w=_v(A,B,Q,f,w),B=Q[Q.length-1]}return w}(this.flatCoordinates,0,this.endss_,this.stride,0)),this.maxDeltaRevision_=this.getRevision()),function(A,B,v,f,w,g,P,Q,C,t,e){for(var D=e||[NaN,NaN],E=0,r=v.length;E<r;++E){var n=v[E];t=Af(A,B,n,f,w,g,P,Q,C,t,D),B=n[n.length-1]}return t}(this.getOrientedFlatCoordinates(),0,this.endss_,this.stride,this.maxDelta_,!0,A,B,v,f))},B.prototype.containsXY=function(A,B){return function(A,B,v,f,w,g){if(0===v.length)return!1;for(var P=0,Q=v.length;P<Q;++P){var C=v[P];if(If(A,B,C,f,w,g))return!0;B=C[C.length-1]}return!1}(this.getOrientedFlatCoordinates(),0,this.endss_,this.stride,A,B)},B.prototype.getArea=function(){return function(A,B,v,f){for(var w=0,g=0,P=v.length;g<P;++g){var Q=v[g];w+=Ef(A,B,Q,f),B=Q[Q.length-1]}return w}(this.getOrientedFlatCoordinates(),0,this.endss_,this.stride)},B.prototype.getCoordinates=function(A){var B;return void 0!==A?Xf(B=this.getOrientedFlatCoordinates().slice(),0,this.endss_,this.stride,A):B=this.flatCoordinates,ef(B,0,this.endss_,this.stride)},B.prototype.getEndss=function(){return this.endss_},B.prototype.getFlatInteriorPoints=function(){if(this.flatInteriorPointsRevision_!=this.getRevision()){var A=BD(this.flatCoordinates,0,this.endss_,this.stride);this.flatInteriorPoints_=Lf(this.getOrientedFlatCoordinates(),0,this.endss_,this.stride,A),this.flatInteriorPointsRevision_=this.getRevision()}return this.flatInteriorPoints_},B.prototype.getInteriorPoints=function(){return new AD(this.getFlatInteriorPoints().slice(),tA)},B.prototype.getOrientedFlatCoordinates=function(){if(this.orientedRevision_!=this.getRevision()){var A=this.flatCoordinates;!function(A,B,v,f,w){for(var g=0,P=v.length;g<P;++g){var Q=v[g];if(!xf(A,B,Q,f,w))return!1;Q.length&&(B=Q[Q.length-1])}return!0}(A,0,this.endss_,this.stride)?(this.orientedFlatCoordinates_=A.slice(),this.orientedFlatCoordinates_.length=Xf(this.orientedFlatCoordinates_,0,this.endss_,this.stride)):this.orientedFlatCoordinates_=A,this.orientedRevision_=this.getRevision()}return this.orientedFlatCoordinates_},B.prototype.getSimplifiedGeometryInternal=function(A){var v=[],f=[];return v.length=function(A,B,v,f,w,g,P,Q){for(var C=0,t=v.length;C<t;++C){var e=v[C],D=[];P=Qf(A,B,e,f,w,g,P,D),Q.push(D),B=e[e.length-1]}return P}(this.flatCoordinates,0,this.endss_,this.stride,Math.sqrt(A),v,0,f),new B(v,QA,f)},B.prototype.getPolygon=function(A){if(A<0||this.endss_.length<=A)return null;var B;if(0===A)B=0;else{var v=this.endss_[A-1];B=v[v.length-1]}var f=this.endss_[A].slice(),w=f[f.length-1];if(0!==B)for(var g=0,P=f.length;g<P;++g)f[g]-=B;return new bf(this.flatCoordinates.slice(B,w),this.layout,f)},B.prototype.getPolygons=function(){for(var A=this.layout,B=this.flatCoordinates,v=this.endss_,f=[],w=0,g=0,P=v.length;g<P;++g){var Q=v[g].slice(),C=Q[Q.length-1];if(0!==w)for(var t=0,e=Q.length;t<e;++t)Q[t]-=w;var D=new bf(B.slice(w,C),A,Q);f.push(D),w=C}return f},B.prototype.getType=function(){return FA},B.prototype.intersectsExtent=function(A){return function(A,B,v,f,w){for(var g=0,P=v.length;g<P;++g){var Q=v[g];if(hf(A,B,Q,f,w))return!0;B=Q[Q.length-1]}return!1}(this.getOrientedFlatCoordinates(),0,this.endss_,this.stride,A)},B.prototype.setCoordinates=function(A,B){this.setLayout(B,A,3),this.flatCoordinates||(this.flatCoordinates=[]);var v=function(A,B,v,f,w){for(var g=w||[],P=0,Q=0,C=v.length;Q<C;++Q){var t=ff(A,B,v[Q],f,g[P]);g[P++]=t,B=t[t.length-1]}return g.length=P,g}(this.flatCoordinates,0,A,this.stride,this.endss_);if(0===v.length)this.flatCoordinates.length=0;else{var f=v[v.length-1];this.flatCoordinates.length=0===f.length?0:f[f.length-1]}this.changed()},B}(Wv),wD=fD,gD=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),PD="Point",QD="LineString",CD="Polygon",tD="Circle",eD="drawstart",DD="drawend",ED="drawabort",rD=function(A){function B(B,v){var f=A.call(this,B)||this;return f.feature=v,f}return gD(B,A),B}(Q),nD=function(A){function B(B){var v=this,f=B;f.stopDown||(f.stopDown=F),(v=A.call(this,f)||this).on,v.once,v.un,v.shouldHandle_=!1,v.downPx_=null,v.downTimeout_,v.lastDragTime_,v.pointerType_,v.freehand_=!1,v.source_=B.source?B.source:null,v.features_=B.features?B.features:null,v.snapTolerance_=B.snapTolerance?B.snapTolerance:12,v.type_=B.type,v.mode_=function(A){switch(A){case DA:case oA:return PD;case EA:case sA:return QD;case nA:case FA:return CD;case uA:return tD;default:throw new Error("Invalid type: "+A)}}(v.type_),v.stopClick_=!!B.stopClick,v.minPoints_=B.minPoints?B.minPoints:v.mode_===CD?3:2,v.maxPoints_=v.mode_===tD?2:B.maxPoints?B.maxPoints:1/0,v.finishCondition_=B.finishCondition?B.finishCondition:s;var w,g=B.geometryFunction;if(!g){var P,Q=v.mode_;if(Q===tD)g=function(A,B,v){var f=B||new Ve([NaN,NaN]),w=Ov(A[0]),g=Fv(w,Ov(A[A.length-1]));return f.setCenterAndRadius(w,Math.sqrt(g)),f};else Q===PD?P=uf:Q===QD?P=Vf:Q===CD&&(P=bf),g=function(A,B,v){return B?Q===CD?A[0].length?B.setCoordinates([A[0].concat([A[0][0]])]):B.setCoordinates([]):B.setCoordinates(A):B=new P(A),B}}return v.geometryFunction_=g,v.dragVertexDelay_=void 0!==B.dragVertexDelay?B.dragVertexDelay:500,v.finishCoordinate_=null,v.sketchFeature_=null,v.sketchPoint_=null,v.sketchCoords_=null,v.sketchLine_=null,v.sketchLineCoords_=null,v.squaredClickTolerance_=B.clickTolerance?B.clickTolerance*B.clickTolerance:36,v.overlay_=new XQ({source:new AC({useSpatialIndex:!1,wrapX:!!B.wrapX&&B.wrapX}),style:B.style?B.style:(w=vg(),function(A,B){return w[A.getGeometry().getType()]}),updateWhileInteracting:!0}),v.geometryName_=B.geometryName,v.condition_=B.condition?B.condition:_t,v.freehandCondition_,B.freehand?v.freehandCondition_=Vt:v.freehandCondition_=B.freehandCondition?B.freehandCondition:$t,v.addChangeListener(Ot,v.updateState_),v}return gD(B,A),B.prototype.setMap=function(B){A.prototype.setMap.call(this,B),this.updateState_()},B.prototype.getOverlay=function(){return this.overlay_},B.prototype.handleEvent=function(B){B.originalEvent.type===h&&B.originalEvent.preventDefault(),this.freehand_=this.mode_!==PD&&this.freehandCondition_(B);var v=B.type===XC.POINTERMOVE,f=!0;!this.freehand_&&this.lastDragTime_&&B.type===XC.POINTERDRAG&&(Date.now()-this.lastDragTime_>=this.dragVertexDelay_?(this.downPx_=B.pixel,this.shouldHandle_=!this.freehand_,v=!0):this.lastDragTime_=void 0,this.shouldHandle_&&void 0!==this.downTimeout_&&(clearTimeout(this.downTimeout_),this.downTimeout_=void 0));return this.freehand_&&B.type===XC.POINTERDRAG&&null!==this.sketchFeature_?(this.addToDrawing_(B.coordinate),f=!1):this.freehand_&&B.type===XC.POINTERDOWN?f=!1:v&&this.getPointerCount()<2?(f=B.type===XC.POINTERMOVE)&&this.freehand_?(this.handlePointerMove_(B),this.shouldHandle_&&B.originalEvent.preventDefault()):("mouse"===B.originalEvent.pointerType||B.type===XC.POINTERDRAG&&void 0===this.downTimeout_)&&this.handlePointerMove_(B):B.type===XC.DBLCLICK&&(f=!1),A.prototype.handleEvent.call(this,B)&&f},B.prototype.handleDownEvent=function(A){return this.shouldHandle_=!this.freehand_,this.freehand_?(this.downPx_=A.pixel,this.finishCoordinate_||this.startDrawing_(A.coordinate),!0):this.condition_(A)?(this.lastDragTime_=Date.now(),this.downTimeout_=setTimeout(function(){this.handlePointerMove_(new UC(XC.POINTERMOVE,A.map,A.originalEvent,!1,A.frameState))}.bind(this),this.dragVertexDelay_),this.downPx_=A.pixel,!0):(this.lastDragTime_=void 0,!1)},B.prototype.handleUpEvent=function(A){var B=!0;if(0===this.getPointerCount())if(this.downTimeout_&&(clearTimeout(this.downTimeout_),this.downTimeout_=void 0),this.handlePointerMove_(A),this.shouldHandle_){var v=!this.finishCoordinate_;v&&this.startDrawing_(A.coordinate),!v&&this.freehand_?this.finishDrawing():this.freehand_||v&&this.mode_!==PD||(this.atFinish_(A.pixel)?this.finishCondition_(A)&&this.finishDrawing():this.addToDrawing_(A.coordinate)),B=!1}else this.freehand_&&this.abortDrawing();return!B&&this.stopClick_&&A.preventDefault(),B},B.prototype.handlePointerMove_=function(A){if(this.pointerType_=A.originalEvent.pointerType,this.downPx_&&(!this.freehand_&&this.shouldHandle_||this.freehand_&&!this.shouldHandle_)){var B=this.downPx_,v=A.pixel,f=B[0]-v[0],w=B[1]-v[1],g=f*f+w*w;if(this.shouldHandle_=this.freehand_?g>this.squaredClickTolerance_:g<=this.squaredClickTolerance_,!this.shouldHandle_)return}this.finishCoordinate_?this.modifyDrawing_(A.coordinate):this.createOrUpdateSketchPoint_(A.coordinate.slice())},B.prototype.atFinish_=function(A){var B=!1;if(this.sketchFeature_){var v=!1,f=[this.finishCoordinate_],w=this.mode_;if(w===PD)B=!0;else if(w===tD)B=2===this.sketchCoords_.length;else if(w===QD)v=this.sketchCoords_.length>this.minPoints_;else if(w===CD){var g=this.sketchCoords_;v=g[0].length>this.minPoints_,f=[g[0][0],g[0][g[0].length-2]]}if(v)for(var P=this.getMap(),Q=0,C=f.length;Q<C;Q++){var t=f[Q],e=P.getPixelFromCoordinate(t),D=A[0]-e[0],E=A[1]-e[1],r=this.freehand_?1:this.snapTolerance_;if(B=Math.sqrt(D*D+E*E)<=r){this.finishCoordinate_=t;break}}}return B},B.prototype.createOrUpdateSketchPoint_=function(A){this.sketchPoint_?this.sketchPoint_.getGeometry().setCoordinates(A):(this.sketchPoint_=new PA(new uf(A)),this.updateSketchFeatures_())},B.prototype.createOrUpdateCustomSketchLine_=function(A){this.sketchLine_||(this.sketchLine_=new PA);var B=A.getLinearRing(0),v=this.sketchLine_.getGeometry();v?(v.setFlatCoordinates(B.getLayout(),B.getFlatCoordinates()),v.changed()):(v=new Vf(B.getFlatCoordinates(),B.getLayout()),this.sketchLine_.setGeometry(v))},B.prototype.startDrawing_=function(A){var B=this.getMap().getView().getProjection();this.finishCoordinate_=A,this.mode_===PD?this.sketchCoords_=A.slice():this.mode_===CD?(this.sketchCoords_=[[A.slice(),A.slice()]],this.sketchLineCoords_=this.sketchCoords_[0]):this.sketchCoords_=[A.slice(),A.slice()],this.sketchLineCoords_&&(this.sketchLine_=new PA(new Vf(this.sketchLineCoords_)));var v=this.geometryFunction_(this.sketchCoords_,void 0,B);this.sketchFeature_=new PA,this.geometryName_&&this.sketchFeature_.setGeometryName(this.geometryName_),this.sketchFeature_.setGeometry(v),this.updateSketchFeatures_(),this.dispatchEvent(new rD(eD,this.sketchFeature_))},B.prototype.modifyDrawing_=function(A){var B,v,f=this.getMap(),w=this.sketchFeature_.getGeometry(),g=f.getView().getProjection();(this.mode_===PD?v=this.sketchCoords_:this.mode_===CD?(v=(B=this.sketchCoords_[0])[B.length-1],this.atFinish_(f.getPixelFromCoordinate(A))&&(A=this.finishCoordinate_.slice())):v=(B=this.sketchCoords_)[B.length-1],v[0]=A[0],v[1]=A[1],this.geometryFunction_(this.sketchCoords_,w,g),this.sketchPoint_)&&this.sketchPoint_.getGeometry().setCoordinates(A);if(w.getType()===nA&&this.mode_!==CD)this.createOrUpdateCustomSketchLine_(w);else if(this.sketchLineCoords_){this.sketchLine_.getGeometry().setCoordinates(this.sketchLineCoords_)}this.updateSketchFeatures_()},B.prototype.addToDrawing_=function(A){var B,v,f=this.sketchFeature_.getGeometry(),w=this.getMap().getView().getProjection(),g=this.mode_;g===QD||g===tD?(this.finishCoordinate_=A.slice(),(v=this.sketchCoords_).length>=this.maxPoints_&&(this.freehand_?v.pop():B=!0),v.push(A.slice()),this.geometryFunction_(v,f,w)):g===CD&&((v=this.sketchCoords_[0]).length>=this.maxPoints_&&(this.freehand_?v.pop():B=!0),v.push(A.slice()),B&&(this.finishCoordinate_=v[0]),this.geometryFunction_(this.sketchCoords_,f,w)),this.createOrUpdateSketchPoint_(A.slice()),this.updateSketchFeatures_(),B&&this.finishDrawing()},B.prototype.removeLastPoint=function(){if(this.sketchFeature_){var A,B=this.sketchFeature_.getGeometry(),v=this.getMap().getView().getProjection(),f=this.mode_;if(f===QD||f===tD){if((A=this.sketchCoords_).splice(-2,1),A.length>=2){this.finishCoordinate_=A[A.length-2].slice();var w=this.finishCoordinate_.slice();A[A.length-1]=w,this.createOrUpdateSketchPoint_(w)}this.geometryFunction_(A,B,v),B.getType()===nA&&this.sketchLine_&&this.createOrUpdateCustomSketchLine_(B)}else if(f===CD){(A=this.sketchCoords_[0]).splice(-2,1);var g=this.sketchLine_.getGeometry();if(A.length>=2){w=A[A.length-2].slice();A[A.length-1]=w,this.createOrUpdateSketchPoint_(w)}g.setCoordinates(A),this.geometryFunction_(this.sketchCoords_,B,v)}1===A.length&&this.abortDrawing(),this.updateSketchFeatures_()}},B.prototype.finishDrawing=function(){var A=this.abortDrawing_();if(A){var B=this.sketchCoords_,v=A.getGeometry(),f=this.getMap().getView().getProjection();this.mode_===QD?(B.pop(),this.geometryFunction_(B,v,f)):this.mode_===CD&&(B[0].pop(),this.geometryFunction_(B,v,f),B=v.getCoordinates()),this.type_===oA?A.setGeometry(new AD([B])):this.type_===sA?A.setGeometry(new qe([B])):this.type_===FA&&A.setGeometry(new wD([B])),this.dispatchEvent(new rD(DD,A)),this.features_&&this.features_.push(A),this.source_&&this.source_.addFeature(A)}},B.prototype.abortDrawing_=function(){this.finishCoordinate_=null;var A=this.sketchFeature_;return this.sketchFeature_=null,this.sketchPoint_=null,this.sketchLine_=null,this.overlay_.getSource().clear(!0),A},B.prototype.abortDrawing=function(){var A=this.abortDrawing_();A&&this.dispatchEvent(new rD(ED,A))},B.prototype.appendCoordinates=function(A){var B,v=this.mode_,f=!this.sketchFeature_;if(f&&this.startDrawing_(A[0]),v===QD||v===tD)B=this.sketchCoords_;else{if(v!==CD)return;B=this.sketchCoords_&&this.sketchCoords_.length?this.sketchCoords_[0]:[]}f&&B.shift(),B.pop();for(var w=0;w<A.length;w++)this.addToDrawing_(A[w]);var g=A[A.length-1];this.addToDrawing_(g),this.modifyDrawing_(g)},B.prototype.extend=function(A){var B=A.getGeometry();this.sketchFeature_=A,this.sketchCoords_=B.getCoordinates();var v=this.sketchCoords_[this.sketchCoords_.length-1];this.finishCoordinate_=v.slice(),this.sketchCoords_.push(v.slice()),this.sketchPoint_=new PA(new uf(v)),this.updateSketchFeatures_(),this.dispatchEvent(new rD(eD,this.sketchFeature_))},B.prototype.updateSketchFeatures_=function(){var A=[];this.sketchFeature_&&A.push(this.sketchFeature_),this.sketchLine_&&A.push(this.sketchLine_),this.sketchPoint_&&A.push(this.sketchPoint_);var B=this.overlay_.getSource();B.clear(!0),B.addFeatures(A)},B.prototype.updateState_=function(){var A=this.getMap(),B=this.getActive();A&&B||this.abortDrawing(),this.overlay_.setMap(B?A:null)},B}(Kt);var oD=nD,sD=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),FD="extentchanged",iD=function(A){function B(B){var v=A.call(this,FD)||this;return v.extent=B,v}return sD(B,A),B}(Q);function uD(){var A=vg();return function(B,v){return A[nA]}}function HD(){var A=vg();return function(B,v){return A[DA]}}function cD(A){return function(B){return qA([A,B])}}function ID(A,B){return A[0]==B[0]?function(v){return qA([A,[v[0],B[1]]])}:A[1]==B[1]?function(v){return qA([A,[B[0],v[1]]])}:null}var aD=function(A){function B(B){var v=this,f=B||{};return(v=A.call(this,f)||this).on,v.once,v.un,v.condition_=f.condition?f.condition:Vt,v.extent_=null,v.pointerHandler_=null,v.pixelTolerance_=void 0!==f.pixelTolerance?f.pixelTolerance:10,v.snappedToVertex_=!1,v.extentFeature_=null,v.vertexFeature_=null,B||(B={}),v.extentOverlay_=new XQ({source:new AC({useSpatialIndex:!1,wrapX:!!B.wrapX}),style:B.boxStyle?B.boxStyle:uD(),updateWhileAnimating:!0,updateWhileInteracting:!0}),v.vertexOverlay_=new XQ({source:new AC({useSpatialIndex:!1,wrapX:!!B.wrapX}),style:B.pointerStyle?B.pointerStyle:HD(),updateWhileAnimating:!0,updateWhileInteracting:!0}),B.extent&&v.setExtent(B.extent),v}return sD(B,A),B.prototype.snapToVertex_=function(A,B){var v=B.getCoordinateFromPixelInternal(A),f=this.getExtentInternal();if(f){var w=function(A){return[[[A[0],A[1]],[A[0],A[3]]],[[A[0],A[3]],[A[2],A[3]]],[[A[2],A[3]],[A[2],A[1]]],[[A[2],A[1]],[A[0],A[1]]]]}(f);w.sort((function(A,B){return uv(v,A)-uv(v,B)}));var g=w[0],P=nv(v,g),Q=B.getPixelFromCoordinateInternal(P);if(iv(A,Q)<=this.pixelTolerance_){var C=B.getPixelFromCoordinateInternal(g[0]),t=B.getPixelFromCoordinateInternal(g[1]),e=Fv(Q,C),D=Fv(Q,t),E=Math.sqrt(Math.min(e,D));return this.snappedToVertex_=E<=this.pixelTolerance_,this.snappedToVertex_&&(P=e>D?g[1]:g[0]),P}}return null},B.prototype.handlePointerMove_=function(A){var B=A.pixel,v=A.map,f=this.snapToVertex_(B,v);f||(f=v.getCoordinateFromPixelInternal(B)),this.createOrUpdatePointerFeature_(f)},B.prototype.createOrUpdateExtentFeature_=function(A){var B=this.extentFeature_;return B?A?B.setGeometry(Yf(A)):B.setGeometry(void 0):(B=new PA(A?Yf(A):{}),this.extentFeature_=B,this.extentOverlay_.getSource().addFeature(B)),B},B.prototype.createOrUpdatePointerFeature_=function(A){var B=this.vertexFeature_;B?B.getGeometry().setCoordinates(A):(B=new PA(new uf(A)),this.vertexFeature_=B,this.vertexOverlay_.getSource().addFeature(B));return B},B.prototype.handleEvent=function(B){return!B.originalEvent||!this.condition_(B)||(B.type!=XC.POINTERMOVE||this.handlingDownUpSequence||this.handlePointerMove_(B),A.prototype.handleEvent.call(this,B),!1)},B.prototype.handleDownEvent=function(A){var B=A.pixel,v=A.map,f=this.getExtentInternal(),w=this.snapToVertex_(B,v),g=function(A){var B=null,v=null;return A[0]==f[0]?B=f[2]:A[0]==f[2]&&(B=f[0]),A[1]==f[1]?v=f[3]:A[1]==f[3]&&(v=f[1]),null!==B&&null!==v?[B,v]:null};if(w&&f){var P=w[0]==f[0]||w[0]==f[2]?w[0]:null,Q=w[1]==f[1]||w[1]==f[3]?w[1]:null;null!==P&&null!==Q?this.pointerHandler_=cD(g(w)):null!==P?this.pointerHandler_=ID(g([P,f[1]]),g([P,f[3]])):null!==Q&&(this.pointerHandler_=ID(g([f[0],Q]),g([f[2],Q])))}else w=v.getCoordinateFromPixelInternal(B),this.setExtent([w[0],w[1],w[0],w[1]]),this.pointerHandler_=cD(w);return!0},B.prototype.handleDragEvent=function(A){if(this.pointerHandler_){var B=A.coordinate;this.setExtent(this.pointerHandler_(B)),this.createOrUpdatePointerFeature_(B)}},B.prototype.handleUpEvent=function(A){this.pointerHandler_=null;var B=this.getExtentInternal();return B&&0!==sB(B)||this.setExtent(null),!1},B.prototype.setMap=function(B){this.extentOverlay_.setMap(B),this.vertexOverlay_.setMap(B),A.prototype.setMap.call(this,B)},B.prototype.getExtent=function(){return lv(this.getExtentInternal(),this.getMap().getView().getProjection())},B.prototype.getExtentInternal=function(){return this.extent_},B.prototype.setExtent=function(A){this.extent_=A||null,this.createOrUpdateExtentFeature_(A),this.dispatchEvent(new iD(this.extent_))},B}(Kt),LD=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),zD=[0,0,0,0],GD=[],hD="modifystart",MD="modifyend",TD=function(A){function B(B,v,f){var w=A.call(this,B)||this;return w.features=v,w.mapBrowserEvent=f,w}return LD(B,A),B}(Q),xD=function(A){function B(B){var v,f=A.call(this,B)||this;if(f.on,f.once,f.un,f.boundHandleFeatureChange_=f.handleFeatureChange_.bind(f),f.condition_=B.condition?B.condition:ve,f.defaultDeleteCondition_=function(A){return function(A){var B=A.originalEvent;return B.altKey&&!(B.metaKey||B.ctrlKey)&&!B.shiftKey}(A)&&qt(A)},f.deleteCondition_=B.deleteCondition?B.deleteCondition:f.defaultDeleteCondition_,f.insertVertexCondition_=B.insertVertexCondition?B.insertVertexCondition:Vt,f.vertexFeature_=null,f.vertexSegments_=null,f.lastPixel_=[0,0],f.ignoreNextSingleClick_=!1,f.featuresBeingModified_=null,f.rBush_=new bQ,f.pixelTolerance_=void 0!==B.pixelTolerance?B.pixelTolerance:10,f.snappedToVertex_=!1,f.changingFeature_=!1,f.dragSegments_=[],f.overlay_=new XQ({source:new AC({useSpatialIndex:!1,wrapX:!!B.wrapX}),style:B.style?B.style:bD(),updateWhileAnimating:!0,updateWhileInteracting:!0}),f.SEGMENT_WRITERS_={Point:f.writePointGeometry_.bind(f),LineString:f.writeLineStringGeometry_.bind(f),LinearRing:f.writeLineStringGeometry_.bind(f),Polygon:f.writePolygonGeometry_.bind(f),MultiPoint:f.writeMultiPointGeometry_.bind(f),MultiLineString:f.writeMultiLineStringGeometry_.bind(f),MultiPolygon:f.writeMultiPolygonGeometry_.bind(f),Circle:f.writeCircleGeometry_.bind(f),GeometryCollection:f.writeGeometryCollectionGeometry_.bind(f)},f.source_=null,f.hitDetection_=null,B.features?v=B.features:B.source&&(f.source_=B.source,v=new vA(f.source_.getFeatures()),f.source_.addEventListener(jQ,f.handleSourceAdd_.bind(f)),f.source_.addEventListener(pQ,f.handleSourceRemove_.bind(f))),!v)throw new Error("The modify interaction requires features, a source or a layer");return B.hitDetection&&(f.hitDetection_=B.hitDetection),f.features_=v,f.features_.forEach(f.addFeature_.bind(f)),f.features_.addEventListener(q,f.handleFeatureAdd_.bind(f)),f.features_.addEventListener(_,f.handleFeatureRemove_.bind(f)),f.lastPointerEvent_=null,f.delta_=[0,0],f.snapToPointer_=void 0===B.snapToPointer?!f.hitDetection_:B.snapToPointer,f}return LD(B,A),B.prototype.addFeature_=function(A){var B=A.getGeometry();if(B){var v=this.SEGMENT_WRITERS_[B.getType()];v&&v(A,B)}var f=this.getMap();f&&f.isRendered()&&this.getActive()&&this.handlePointerAtPixel_(this.lastPixel_,f),A.addEventListener(z,this.boundHandleFeatureChange_)},B.prototype.willModifyFeatures_=function(A,B){if(!this.featuresBeingModified_){this.featuresBeingModified_=new vA;for(var v=this.featuresBeingModified_.getArray(),f=0,w=B.length;f<w;++f)for(var g=B[f],P=0,Q=g.length;P<Q;++P){var C=g[P].feature;C&&-1===v.indexOf(C)&&this.featuresBeingModified_.push(C)}0===this.featuresBeingModified_.getLength()?this.featuresBeingModified_=null:this.dispatchEvent(new TD(hD,this.featuresBeingModified_,A))}},B.prototype.removeFeature_=function(A){this.removeFeatureSegmentData_(A),this.vertexFeature_&&0===this.features_.getLength()&&(this.overlay_.getSource().removeFeature(this.vertexFeature_),this.vertexFeature_=null),A.removeEventListener(z,this.boundHandleFeatureChange_)},B.prototype.removeFeatureSegmentData_=function(A){var B=this.rBush_,v=[];B.forEach((function(B){A===B.feature&&v.push(B)}));for(var f=v.length-1;f>=0;--f){for(var w=v[f],g=this.dragSegments_.length-1;g>=0;--g)this.dragSegments_[g][0]===w&&this.dragSegments_.splice(g,1);B.remove(w)}},B.prototype.setActive=function(B){this.vertexFeature_&&!B&&(this.overlay_.getSource().removeFeature(this.vertexFeature_),this.vertexFeature_=null),A.prototype.setActive.call(this,B)},B.prototype.setMap=function(B){this.overlay_.setMap(B),A.prototype.setMap.call(this,B)},B.prototype.getOverlay=function(){return this.overlay_},B.prototype.handleSourceAdd_=function(A){A.feature&&this.features_.push(A.feature)},B.prototype.handleSourceRemove_=function(A){A.feature&&this.features_.remove(A.feature)},B.prototype.handleFeatureAdd_=function(A){this.addFeature_(A.element)},B.prototype.handleFeatureChange_=function(A){if(!this.changingFeature_){var B=A.target;this.removeFeature_(B),this.addFeature_(B)}},B.prototype.handleFeatureRemove_=function(A){var B=A.element;this.removeFeature_(B)},B.prototype.writePointGeometry_=function(A,B){var v=B.getCoordinates(),f={feature:A,geometry:B,segment:[v,v]};this.rBush_.insert(B.getExtent(),f)},B.prototype.writeMultiPointGeometry_=function(A,B){for(var v=B.getCoordinates(),f=0,w=v.length;f<w;++f){var g=v[f],P={feature:A,geometry:B,depth:[f],index:f,segment:[g,g]};this.rBush_.insert(B.getExtent(),P)}},B.prototype.writeLineStringGeometry_=function(A,B){for(var v=B.getCoordinates(),f=0,w=v.length-1;f<w;++f){var g=v.slice(f,f+2),P={feature:A,geometry:B,index:f,segment:g};this.rBush_.insert(qA(g),P)}},B.prototype.writeMultiLineStringGeometry_=function(A,B){for(var v=B.getCoordinates(),f=0,w=v.length;f<w;++f)for(var g=v[f],P=0,Q=g.length-1;P<Q;++P){var C=g.slice(P,P+2),t={feature:A,geometry:B,depth:[f],index:P,segment:C};this.rBush_.insert(qA(C),t)}},B.prototype.writePolygonGeometry_=function(A,B){for(var v=B.getCoordinates(),f=0,w=v.length;f<w;++f)for(var g=v[f],P=0,Q=g.length-1;P<Q;++P){var C=g.slice(P,P+2),t={feature:A,geometry:B,depth:[f],index:P,segment:C};this.rBush_.insert(qA(C),t)}},B.prototype.writeMultiPolygonGeometry_=function(A,B){for(var v=B.getCoordinates(),f=0,w=v.length;f<w;++f)for(var g=v[f],P=0,Q=g.length;P<Q;++P)for(var C=g[P],t=0,e=C.length-1;t<e;++t){var D=C.slice(t,t+2),E={feature:A,geometry:B,depth:[P,f],index:t,segment:D};this.rBush_.insert(qA(D),E)}},B.prototype.writeCircleGeometry_=function(A,B){var v=B.getCenter(),f={feature:A,geometry:B,index:0,segment:[v,v]},w={feature:A,geometry:B,index:1,segment:[v,v]},g=[f,w];f.featureSegments=g,w.featureSegments=g,this.rBush_.insert(CB(v),f);var P=B;this.rBush_.insert(P.getExtent(),w)},B.prototype.writeGeometryCollectionGeometry_=function(A,B){for(var v=B.getGeometriesArray(),f=0;f<v.length;++f){var w=v[f];(0,this.SEGMENT_WRITERS_[w.getType()])(A,w)}},B.prototype.createOrUpdateVertexFeature_=function(A,B,v){var f=this.vertexFeature_;f?f.getGeometry().setCoordinates(A):(f=new PA(new uf(A)),this.vertexFeature_=f,this.overlay_.getSource().addFeature(f));return f.set("features",B),f.set("geometries",v),f},B.prototype.handleEvent=function(B){return!B.originalEvent||(this.lastPointerEvent_=B,B.map.getView().getInteracting()||B.type!=XC.POINTERMOVE||this.handlingDownUpSequence||this.handlePointerMove_(B),this.vertexFeature_&&this.deleteCondition_(B)&&(v=!(B.type!=XC.SINGLECLICK||!this.ignoreNextSingleClick_)||this.removePoint()),B.type==XC.SINGLECLICK&&(this.ignoreNextSingleClick_=!1),A.prototype.handleEvent.call(this,B)&&!v);var v},B.prototype.handleDragEvent=function(A){this.ignoreNextSingleClick_=!1,this.willModifyFeatures_(A,this.dragSegments_);for(var B=[A.coordinate[0]+this.delta_[0],A.coordinate[1]+this.delta_[1]],v=[],f=[],w=0,g=this.dragSegments_.length;w<g;++w){var P=this.dragSegments_[w],Q=P[0],C=Q.feature;-1===v.indexOf(C)&&v.push(C);var t=Q.geometry;-1===f.indexOf(t)&&f.push(t);for(var e=Q.depth,D=void 0,E=Q.segment,r=P[1];B.length<t.getStride();)B.push(E[r][B.length]);switch(t.getType()){case DA:D=B,E[0]=B,E[1]=B;break;case oA:(D=t.getCoordinates())[Q.index]=B,E[0]=B,E[1]=B;break;case EA:(D=t.getCoordinates())[Q.index+r]=B,E[r]=B;break;case sA:case nA:(D=t.getCoordinates())[e[0]][Q.index+r]=B,E[r]=B;break;case FA:(D=t.getCoordinates())[e[1]][e[0]][Q.index+r]=B,E[r]=B;break;case uA:if(E[0]=B,E[1]=B,0===Q.index)this.changingFeature_=!0,t.setCenter(B),this.changingFeature_=!1;else{this.changingFeature_=!0;A.map.getView().getProjection();var n=iv(Ov(t.getCenter()),Ov(B));t.setRadius(n),this.changingFeature_=!1}}D&&this.setGeometryCoordinates_(t,D)}this.createOrUpdateVertexFeature_(B,v,f)},B.prototype.handleDownEvent=function(A){if(!this.condition_(A))return!1;var B=A.coordinate;this.handlePointerAtPixel_(A.pixel,A.map,B),this.dragSegments_.length=0,this.featuresBeingModified_=null;var v=this.vertexFeature_;if(v){var w=A.map.getView().getProjection(),g=[],P=v.getGeometry().getCoordinates(),Q=qA([P]),C=this.rBush_.getInExtent(Q),t={};C.sort(UD);for(var e=0,D=C.length;e<D;++e){var E=C[e],r=E.segment,n=f(E.geometry),o=E.depth;if(o&&(n+="-"+o.join("-")),t[n]||(t[n]=new Array(2)),E.geometry.getType()!==uA||1!==E.index)if(!ov(r[0],P)||t[n][0])if(!ov(r[1],P)||t[n][1])f(r)in this.vertexSegments_&&!t[n][0]&&!t[n][1]&&this.insertVertexCondition_(A)&&g.push(E);else{if((E.geometry.getType()===EA||E.geometry.getType()===sA)&&t[n][0]&&0===t[n][0].index)continue;this.dragSegments_.push([E,1]),t[n][1]=E}else this.dragSegments_.push([E,0]),t[n][0]=E;else ov(RD(B,E,w),P)&&!t[n][0]&&(this.dragSegments_.push([E,0]),t[n][0]=E)}g.length&&this.willModifyFeatures_(A,[g]);for(var s=g.length-1;s>=0;--s)this.insertVertex_(g[s],P)}return!!this.vertexFeature_},B.prototype.handleUpEvent=function(A){for(var B=this.dragSegments_.length-1;B>=0;--B){var v=this.dragSegments_[B][0],f=v.geometry;if(f.getType()===uA){var w=f.getCenter(),g=v.featureSegments[0],P=v.featureSegments[1];g.segment[0]=w,g.segment[1]=w,P.segment[0]=w,P.segment[1]=w,this.rBush_.update(CB(w),g);var Q=f;this.rBush_.update(Q.getExtent(),P)}else this.rBush_.update(qA(v.segment),v)}return this.featuresBeingModified_&&(this.dispatchEvent(new TD(MD,this.featuresBeingModified_,A)),this.featuresBeingModified_=null),!1},B.prototype.handlePointerMove_=function(A){this.lastPixel_=A.pixel,this.handlePointerAtPixel_(A.pixel,A.map,A.coordinate)},B.prototype.handlePointerAtPixel_=function(A,B,v){var w,g,P=this,Q=v||B.getCoordinateFromPixel(A),C=B.getView().getProjection();if(this.hitDetection_){var t="object"==typeof this.hitDetection_?function(A){return A===P.hitDetection_}:void 0;B.forEachFeatureAtPixel(A,(function(A,B,v){if((v=v||A.getGeometry()).getType()===DA&&D(P.features_.getArray(),A)){g=v;var f=v.getFlatCoordinates().slice(0,2);w=[{feature:A,geometry:v,segment:[f,f]}]}return!0}),{layerFilter:t})}if(!w){var e=lv(_A(jv(CB(Q,zD)),B.getView().getResolution()*this.pixelTolerance_,zD));w=this.rBush_.getInExtent(e)}if(w&&w.length>0){var E=w.sort((function(A,B){return XD(Q,A,C)-XD(Q,B,C)}))[0],r=E.segment,n=RD(Q,E,C),o=B.getPixelFromCoordinate(n),s=iv(A,o);if(g||s<=this.pixelTolerance_){var F={};if(F[f(r)]=!0,this.snapToPointer_||(this.delta_[0]=n[0]-Q[0],this.delta_[1]=n[1]-Q[1]),E.geometry.getType()===uA&&1===E.index)this.snappedToVertex_=!0,this.createOrUpdateVertexFeature_(n,[E.feature],[E.geometry]);else{var i=B.getPixelFromCoordinate(r[0]),u=B.getPixelFromCoordinate(r[1]),H=Fv(o,i),c=Fv(o,u);s=Math.sqrt(Math.min(H,c)),this.snappedToVertex_=s<=this.pixelTolerance_,this.snappedToVertex_&&(n=H>c?r[1]:r[0]),this.createOrUpdateVertexFeature_(n,[E.feature],[E.geometry]);var I={};I[f(E.geometry)]=!0;for(var a=1,L=w.length;a<L;++a){var z=w[a].segment;if(!(ov(r[0],z[0])&&ov(r[1],z[1])||ov(r[0],z[1])&&ov(r[1],z[0])))break;var G=f(w[a].geometry);G in I||(I[G]=!0,F[f(z)]=!0)}}return void(this.vertexSegments_=F)}}this.vertexFeature_&&(this.overlay_.getSource().removeFeature(this.vertexFeature_),this.vertexFeature_=null)},B.prototype.insertVertex_=function(A,B){for(var v,f=A.segment,w=A.feature,g=A.geometry,P=A.depth,Q=A.index;B.length<g.getStride();)B.push(0);switch(g.getType()){case sA:case nA:(v=g.getCoordinates())[P[0]].splice(Q+1,0,B);break;case FA:(v=g.getCoordinates())[P[1]][P[0]].splice(Q+1,0,B);break;case EA:(v=g.getCoordinates()).splice(Q+1,0,B);break;default:return}this.setGeometryCoordinates_(g,v);var C=this.rBush_;C.remove(A),this.updateSegmentIndices_(g,Q,P,1);var t={segment:[f[0],B],feature:w,geometry:g,depth:P,index:Q};C.insert(qA(t.segment),t),this.dragSegments_.push([t,1]);var e={segment:[B,f[1]],feature:w,geometry:g,depth:P,index:Q+1};C.insert(qA(e.segment),e),this.dragSegments_.push([e,0]),this.ignoreNextSingleClick_=!0},B.prototype.removePoint=function(){if(this.lastPointerEvent_&&this.lastPointerEvent_.type!=XC.POINTERDRAG){var A=this.lastPointerEvent_;this.willModifyFeatures_(A,this.dragSegments_);var B=this.removeVertex_();return this.dispatchEvent(new TD(MD,this.featuresBeingModified_,A)),this.featuresBeingModified_=null,B}return!1},B.prototype.removeVertex_=function(){var A,B,v,w,g,P,Q,C,t,e,D,E=this.dragSegments_,r={},n=!1;for(g=E.length-1;g>=0;--g)D=f((e=(v=E[g])[0]).feature),e.depth&&(D+="-"+e.depth.join("-")),D in r||(r[D]={}),0===v[1]?(r[D].right=e,r[D].index=e.index):1==v[1]&&(r[D].left=e,r[D].index=e.index+1);for(D in r){switch(t=r[D].right,Q=r[D].left,(C=(P=r[D].index)-1)<0&&(C=0),A=B=(w=(e=void 0!==Q?Q:t).geometry).getCoordinates(),n=!1,w.getType()){case sA:B[e.depth[0]].length>2&&(B[e.depth[0]].splice(P,1),n=!0);break;case EA:B.length>2&&(B.splice(P,1),n=!0);break;case FA:A=A[e.depth[1]];case nA:(A=A[e.depth[0]]).length>4&&(P==A.length-1&&(P=0),A.splice(P,1),n=!0,0===P&&(A.pop(),A.push(A[0]),C=A.length-1))}if(n){this.setGeometryCoordinates_(w,B);var o=[];if(void 0!==Q&&(this.rBush_.remove(Q),o.push(Q.segment[0])),void 0!==t&&(this.rBush_.remove(t),o.push(t.segment[1])),void 0!==Q&&void 0!==t){var s={depth:e.depth,feature:e.feature,geometry:e.geometry,index:C,segment:o};this.rBush_.insert(qA(s.segment),s)}this.updateSegmentIndices_(w,P,e.depth,-1),this.vertexFeature_&&(this.overlay_.getSource().removeFeature(this.vertexFeature_),this.vertexFeature_=null),E.length=0}}return n},B.prototype.setGeometryCoordinates_=function(A,B){this.changingFeature_=!0,A.setCoordinates(B),this.changingFeature_=!1},B.prototype.updateSegmentIndices_=function(A,B,v,f){this.rBush_.forEachInExtent(A.getExtent(),(function(w){w.geometry===A&&(void 0===v||void 0===w.depth||o(w.depth,v))&&w.index>B&&(w.index+=f)}))},B}(Kt);function UD(A,B){return A.index-B.index}function XD(A,B,v){var f=B.geometry;if(f.getType()===uA){var w=f;if(1===B.index){null;var g=Fv(w.getCenter(),Ov(A)),P=Math.sqrt(g)-w.getRadius();return P*P}}var Q=Ov(A);return GD[0]=Ov(B.segment[0]),GD[1]=Ov(B.segment[1]),uv(Q,GD)}function RD(A,B,v){var f=B.geometry;if(f.getType()===uA&&1===B.index){var w=f;return Yv(w.getClosestPoint(Ov(A)))}var g=Ov(A);return GD[0]=Ov(B.segment[0]),GD[1]=Ov(B.segment[1]),Yv(nv(g,GD))}function bD(){var A=vg();return function(B,v){return A[DA]}}var YD=xD,OD=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),lD="select",jD=function(A){function B(B,v,f,w){var g=A.call(this,B)||this;return g.selected=v,g.deselected=f,g.mapBrowserEvent=w,g}return OD(B,A),B}(Q),yD={},kD=function(A){function B(B){var v=A.call(this)||this;v.on,v.once,v.un;var f,w,g=B||{};if(v.boundAddFeature_=v.addFeature_.bind(v),v.boundRemoveFeature_=v.removeFeature_.bind(v),v.condition_=g.condition?g.condition:qt,v.addCondition_=g.addCondition?g.addCondition:Zt,v.removeCondition_=g.removeCondition?g.removeCondition:Zt,v.toggleCondition_=g.toggleCondition?g.toggleCondition:$t,v.multi_=!!g.multi&&g.multi,v.filter_=g.filter?g.filter:s,v.hitTolerance_=g.hitTolerance?g.hitTolerance:0,v.style_=void 0!==g.style?g.style:(n((f=vg())[nA],f[EA]),n(f[iA],f[EA]),function(A){return A.getGeometry()?f[A.getGeometry().getType()]:null}),v.features_=g.features||new vA,g.layers)if("function"==typeof g.layers)w=g.layers;else{var P=g.layers;w=function(A){return D(P,A)}}else w=s;return v.layerFilter_=w,v.featureLayerAssociation_={},v}return OD(B,A),B.prototype.addFeatureLayerAssociation_=function(A,B){this.featureLayerAssociation_[f(A)]=B},B.prototype.getFeatures=function(){return this.features_},B.prototype.getHitTolerance=function(){return this.hitTolerance_},B.prototype.getLayer=function(A){return this.featureLayerAssociation_[f(A)]},B.prototype.setHitTolerance=function(A){this.hitTolerance_=A},B.prototype.setMap=function(B){this.getMap()&&this.style_&&this.features_.forEach(this.restorePreviousStyle_.bind(this)),A.prototype.setMap.call(this,B),B?(this.features_.addEventListener(q,this.boundAddFeature_),this.features_.addEventListener(_,this.boundRemoveFeature_),this.style_&&this.features_.forEach(this.applySelectedStyle_.bind(this))):(this.features_.removeEventListener(q,this.boundAddFeature_),this.features_.removeEventListener(_,this.boundRemoveFeature_))},B.prototype.addFeature_=function(A){var B=A.element;if(this.style_&&this.applySelectedStyle_(B),!this.getLayer(B)){var v=this.getMap().getAllLayers().find((function(A){if(A instanceof XQ&&A.getSource()&&A.getSource().hasFeature(B))return A}));v&&this.addFeatureLayerAssociation_(B,v)}},B.prototype.removeFeature_=function(A){var B=A.element;this.style_&&this.restorePreviousStyle_(B)},B.prototype.getStyle=function(){return this.style_},B.prototype.applySelectedStyle_=function(A){var B=f(A);B in yD||(yD[B]=A.getStyle()),A.setStyle(this.style_)},B.prototype.restorePreviousStyle_=function(A){for(var v=this.getMap().getInteractions().getArray(),w=v.length-1;w>=0;--w){var g=v[w];if(g!==this&&g instanceof B&&g.getStyle()&&-1!==g.getFeatures().getArray().lastIndexOf(A))return void A.setStyle(g.getStyle())}var P=f(A);A.setStyle(yD[P]),delete yD[P]},B.prototype.removeFeatureLayerAssociation_=function(A){delete this.featureLayerAssociation_[f(A)]},B.prototype.handleEvent=function(A){if(!this.condition_(A))return!0;var B=this.addCondition_(A),v=this.removeCondition_(A),f=this.toggleCondition_(A),w=!B&&!v&&!f,g=A.map,P=this.getFeatures(),Q=[],C=[];if(w){H(this.featureLayerAssociation_),g.forEachFeatureAtPixel(A.pixel,function(A,B){if(this.filter_(A,B))return this.addFeatureLayerAssociation_(A,B),C.push(A),!this.multi_}.bind(this),{layerFilter:this.layerFilter_,hitTolerance:this.hitTolerance_});for(var t=P.getLength()-1;t>=0;--t){var e=P.item(t),E=C.indexOf(e);E>-1?C.splice(E,1):(P.remove(e),Q.push(e))}0!==C.length&&P.extend(C)}else{g.forEachFeatureAtPixel(A.pixel,function(A,w){if(this.filter_(A,w))return!B&&!f||D(P.getArray(),A)?(v||f)&&D(P.getArray(),A)&&(Q.push(A),this.removeFeatureLayerAssociation_(A)):(this.addFeatureLayerAssociation_(A,w),C.push(A)),!this.multi_}.bind(this),{layerFilter:this.layerFilter_,hitTolerance:this.hitTolerance_});for(var r=Q.length-1;r>=0;--r)P.remove(Q[r]);P.extend(C)}return(C.length>0||Q.length>0)&&this.dispatchEvent(new jD(lD,C,Q,A)),!0},B}(yt);var pD=kD,dD=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}();function JD(A){return A.feature?A.feature:A.element?A.element:void 0}var KD=[],SD=function(A){function B(B){var v=this,f=B||{},w=f;return w.handleDownEvent||(w.handleDownEvent=s),w.stopDown||(w.stopDown=F),(v=A.call(this,w)||this).source_=f.source?f.source:null,v.vertex_=void 0===f.vertex||f.vertex,v.edge_=void 0===f.edge||f.edge,v.features_=f.features?f.features:null,v.featuresListenerKeys_=[],v.featureChangeListenerKeys_={},v.indexedFeaturesExtents_={},v.pendingFeatures_={},v.pixelTolerance_=void 0!==f.pixelTolerance?f.pixelTolerance:10,v.rBush_=new bQ,v.SEGMENT_WRITERS_={Point:v.writePointGeometry_.bind(v),LineString:v.writeLineStringGeometry_.bind(v),LinearRing:v.writeLineStringGeometry_.bind(v),Polygon:v.writePolygonGeometry_.bind(v),MultiPoint:v.writeMultiPointGeometry_.bind(v),MultiLineString:v.writeMultiLineStringGeometry_.bind(v),MultiPolygon:v.writeMultiPolygonGeometry_.bind(v),GeometryCollection:v.writeGeometryCollectionGeometry_.bind(v),Circle:v.writeCircleGeometry_.bind(v)},v}return dD(B,A),B.prototype.addFeature=function(A,B){var v=void 0===B||B,w=f(A),g=A.getGeometry();if(g){var P=this.SEGMENT_WRITERS_[g.getType()];P&&(this.indexedFeaturesExtents_[w]=g.getExtent([1/0,1/0,-1/0,-1/0]),P(A,g))}v&&(this.featureChangeListenerKeys_[w]=y(A,z,this.handleFeatureChange_,this))},B.prototype.forEachFeatureAdd_=function(A){this.addFeature(A)},B.prototype.forEachFeatureRemove_=function(A){this.removeFeature(A)},B.prototype.getFeatures_=function(){var A;return this.features_?A=this.features_:this.source_&&(A=this.source_.getFeatures()),A},B.prototype.handleEvent=function(B){var v=this.snapTo(B.pixel,B.coordinate,B.map);return v.snapped&&(B.coordinate=v.vertex.slice(0,2),B.pixel=v.vertexPixel),A.prototype.handleEvent.call(this,B)},B.prototype.handleFeatureAdd_=function(A){var B=JD(A);this.addFeature(B)},B.prototype.handleFeatureRemove_=function(A){var B=JD(A);this.removeFeature(B)},B.prototype.handleFeatureChange_=function(A){var B=A.target;if(this.handlingDownUpSequence){var v=f(B);v in this.pendingFeatures_||(this.pendingFeatures_[v]=B)}else this.updateFeature_(B)},B.prototype.handleUpEvent=function(A){var B=c(this.pendingFeatures_);return B.length&&(B.forEach(this.updateFeature_.bind(this)),this.pendingFeatures_={}),!1},B.prototype.removeFeature=function(A,B){var v=void 0===B||B,w=f(A),g=this.indexedFeaturesExtents_[w];if(g){var P=this.rBush_,Q=[];P.forEachInExtent(g,(function(B){A===B.feature&&Q.push(B)}));for(var C=Q.length-1;C>=0;--C)P.remove(Q[C])}v&&(p(this.featureChangeListenerKeys_[w]),delete this.featureChangeListenerKeys_[w])},B.prototype.setMap=function(B){var v=this.getMap(),f=this.featuresListenerKeys_,w=this.getFeatures_();v&&(f.forEach(p),f.length=0,w.forEach(this.forEachFeatureRemove_.bind(this))),A.prototype.setMap.call(this,B),B&&(this.features_?f.push(y(this.features_,q,this.handleFeatureAdd_,this),y(this.features_,_,this.handleFeatureRemove_,this)):this.source_&&f.push(y(this.source_,jQ,this.handleFeatureAdd_,this),y(this.source_,pQ,this.handleFeatureRemove_,this)),w.forEach(this.forEachFeatureAdd_.bind(this)))},B.prototype.snapTo=function(A,B,v){var f=qA([v.getCoordinateFromPixel([A[0]-this.pixelTolerance_,A[1]+this.pixelTolerance_]),v.getCoordinateFromPixel([A[0]+this.pixelTolerance_,A[1]-this.pixelTolerance_])]),w=this.rBush_.getInExtent(f);this.vertex_&&!this.edge_&&(w=w.filter((function(A){return A.feature.getGeometry().getType()!==uA})));var g=!1,P=null,Q=null;if(0===w.length)return{snapped:g,vertex:P,vertexPixel:Q};v.getView().getProjection();for(var C,t=Ov(B),e=1/0,D=0;D<w.length;++D){var E=w[D];KD[0]=Ov(E.segment[0]),KD[1]=Ov(E.segment[1]);var r=uv(t,KD);r<e&&(C=E,e=r)}var n=C.segment;if(this.vertex_&&!this.edge_){var o=v.getPixelFromCoordinate(n[0]),s=v.getPixelFromCoordinate(n[1]),F=Fv(A,o),i=Fv(A,s);Math.sqrt(Math.min(F,i))<=this.pixelTolerance_&&(g=!0,P=F>i?n[1]:n[0],Q=v.getPixelFromCoordinate(P))}else if(this.edge_){var u=C.feature.getGeometry().getType()===uA;if(u){var H=C.feature.getGeometry();null,P=Yv(function(A,B){var v=B.getRadius(),f=B.getCenter(),w=f[0],g=f[1],P=A[0]-w,Q=A[1]-g;0===P&&0===Q&&(P=1);var C=Math.sqrt(P*P+Q*Q);return[w+v*P/C,g+v*Q/C]}(t,H))}else KD[0]=Ov(n[0]),KD[1]=Ov(n[1]),P=Yv(nv(t,KD));if(iv(A,Q=v.getPixelFromCoordinate(P))<=this.pixelTolerance_&&(g=!0,this.vertex_&&!u)){o=v.getPixelFromCoordinate(n[0]),s=v.getPixelFromCoordinate(n[1]),F=Fv(Q,o),i=Fv(Q,s);Math.sqrt(Math.min(F,i))<=this.pixelTolerance_&&(P=F>i?n[1]:n[0],Q=v.getPixelFromCoordinate(P))}}return g&&(Q=[Math.round(Q[0]),Math.round(Q[1])]),{snapped:g,vertex:P,vertexPixel:Q}},B.prototype.updateFeature_=function(A){this.removeFeature(A,!1),this.addFeature(A,!1)},B.prototype.writeCircleGeometry_=function(A,B){this.getMap().getView().getProjection();for(var v=Of(B).getCoordinates()[0],f=0,w=v.length-1;f<w;++f){var g=v.slice(f,f+2),P={feature:A,segment:g};this.rBush_.insert(qA(g),P)}},B.prototype.writeGeometryCollectionGeometry_=function(A,B){for(var v=B.getGeometriesArray(),f=0;f<v.length;++f){var w=this.SEGMENT_WRITERS_[v[f].getType()];w&&w(A,v[f])}},B.prototype.writeLineStringGeometry_=function(A,B){for(var v=B.getCoordinates(),f=0,w=v.length-1;f<w;++f){var 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A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),ds="u_projectionMatrix",Js="u_offsetScaleMatrix",Ks="u_offsetRotateMatrix",Ss="u_time",Ns="u_zoom",ms="u_resolution",Vs={UNSIGNED_BYTE:5121,UNSIGNED_SHORT:5123,UNSIGNED_INT:5125,FLOAT:5126},Ws={};function Zs(A){return"shared/"+A}var qs=0;var _s=function(A){function B(B){var 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B=this.getGL(),v=f(A),w=this.bufferCache_[v];w&&!B.isContextLost()&&B.deleteBuffer(w.webGlBuffer),delete this.bufferCache_[v]},B.prototype.disposeInternal=function(){this.canvas_.removeEventListener(Os,this.boundHandleWebGLContextLost_),this.canvas_.removeEventListener(ls,this.boundHandleWebGLContextRestored_),function(A){var B=Ws[A];if(B&&(B.users-=1,!(B.users>0))){var v=Us(B.canvas).getExtension("WEBGL_lose_context");v&&v.loseContext(),delete Ws[A]}}(this.canvasCacheKey_),delete this.gl_,delete this.canvas_},B.prototype.prepareDraw=function(A,B){var v=this.getGL(),f=this.getCanvas(),w=A.size,g=A.pixelRatio;f.width=w[0]*g,f.height=w[1]*g,f.style.width=w[0]+"px",f.style.height=w[1]+"px",v.useProgram(this.currentProgram_);for(var P=this.postProcessPasses_.length-1;P>=0;P--)this.postProcessPasses_[P].init(A);v.bindTexture(v.TEXTURE_2D,null),v.clearColor(0,0,0,0),v.clear(v.COLOR_BUFFER_BIT),v.enable(v.BLEND),v.blendFunc(v.ONE,B?v.ZERO:v.ONE_MINUS_SRC_ALPHA),v.useProgram(this.currentProgram_),this.applyFrameState(A),this.applyUniforms(A)},B.prototype.prepareDrawToRenderTarget=function(A,B,v){var f=this.getGL(),w=B.getSize();f.bindFramebuffer(f.FRAMEBUFFER,B.getFramebuffer()),f.viewport(0,0,w[0],w[1]),f.bindTexture(f.TEXTURE_2D,B.getTexture()),f.clearColor(0,0,0,0),f.clear(f.COLOR_BUFFER_BIT),f.enable(f.BLEND),f.blendFunc(f.ONE,v?f.ZERO:f.ONE_MINUS_SRC_ALPHA),f.useProgram(this.currentProgram_),this.applyFrameState(A),this.applyUniforms(A)},B.prototype.drawElements=function(A,B){var v=this.getGL();this.getExtension("OES_element_index_uint");var f=v.UNSIGNED_INT,w=B-A,g=4*A;v.drawElements(v.TRIANGLES,w,f,g)},B.prototype.finalizeDraw=function(A,B,v){for(var f=0,w=this.postProcessPasses_.length;f<w;f++)f===w-1?this.postProcessPasses_[f].apply(A,null,B,v):this.postProcessPasses_[f].apply(A,this.postProcessPasses_[f+1])},B.prototype.getCanvas=function(){return this.canvas_},B.prototype.getGL=function(){return this.gl_},B.prototype.applyFrameState=function(A){var B=A.size,v=A.viewState.rotation,f=RA(this.offsetScaleMatrix_);lA(f,2/B[0],2/B[1]);var w=RA(this.offsetRotateMatrix_);0!==v&&function(A,B){var v=Math.cos(B),f=Math.sin(B);bA(A,YA(XA,v,f,-f,v,0,0))}(w,-v),this.setUniformMatrixValue(Js,ks(this.tmpMat4_,f)),this.setUniformMatrixValue(Ks,ks(this.tmpMat4_,w)),this.setUniformFloatValue(Ss,.001*(Date.now()-this.startTime_)),this.setUniformFloatValue(Ns,A.viewState.zoom),this.setUniformFloatValue(ms,A.viewState.resolution)},B.prototype.applyUniforms=function(A){var B,v=this.getGL(),f=0;this.uniforms_.forEach(function(w){if((B="function"==typeof w.value?w.value(A):w.value)instanceof HTMLCanvasElement||B instanceof HTMLImageElement||B instanceof ImageData)w.texture||(w.prevValue=void 0,w.texture=v.createTexture()),v.activeTexture(v["TEXTURE"+f]),v.bindTexture(v.TEXTURE_2D,w.texture),v.texParameteri(v.TEXTURE_2D,v.TEXTURE_MIN_FILTER,v.LINEAR),v.texParameteri(v.TEXTURE_2D,v.TEXTURE_WRAP_S,v.CLAMP_TO_EDGE),v.texParameteri(v.TEXTURE_2D,v.TEXTURE_WRAP_T,v.CLAMP_TO_EDGE),(!(B instanceof HTMLImageElement)||B.complete)&&w.prevValue!==B&&(w.prevValue=B,v.texImage2D(v.TEXTURE_2D,0,v.RGBA,v.RGBA,v.UNSIGNED_BYTE,B)),v.uniform1i(this.getUniformLocation(w.name),f++);else if(Array.isArray(B)&&6===B.length)this.setUniformMatrixValue(w.name,ks(this.tmpMat4_,B));else if(Array.isArray(B)&&B.length<=4)switch(B.length){case 2:return void v.uniform2f(this.getUniformLocation(w.name),B[0],B[1]);case 3:return void v.uniform3f(this.getUniformLocation(w.name),B[0],B[1],B[2]);case 4:return void v.uniform4f(this.getUniformLocation(w.name),B[0],B[1],B[2],B[3]);default:return}else"number"==typeof B&&v.uniform1f(this.getUniformLocation(w.name),B)}.bind(this))},B.prototype.useProgram=function(A){return A!=this.currentProgram_&&(this.getGL().useProgram(A),this.currentProgram_=A,this.uniformLocations_={},this.attribLocations_={},!0)},B.prototype.compileShader=function(A,B){var v=this.getGL(),f=v.createShader(B);return v.shaderSource(f,A),v.compileShader(f),f},B.prototype.getProgram=function(A,B){var v=this.getGL(),f=this.compileShader(A,v.FRAGMENT_SHADER),w=this.compileShader(B,v.VERTEX_SHADER),g=v.createProgram();if(v.attachShader(g,f),v.attachShader(g,w),v.linkProgram(g),!v.getShaderParameter(f,v.COMPILE_STATUS)){var P="Fragment shader compliation failed: "+v.getShaderInfoLog(f);throw new Error(P)}if(v.deleteShader(f),!v.getShaderParameter(w,v.COMPILE_STATUS)){P="Vertex shader compilation failed: "+v.getShaderInfoLog(w);throw new Error(P)}if(v.deleteShader(w),!v.getProgramParameter(g,v.LINK_STATUS)){P="GL program linking failed: "+v.getShaderInfoLog(w);throw new Error(P)}return g},B.prototype.getUniformLocation=function(A){return void 0===this.uniformLocations_[A]&&(this.uniformLocations_[A]=this.getGL().getUniformLocation(this.currentProgram_,A)),this.uniformLocations_[A]},B.prototype.getAttributeLocation=function(A){return void 0===this.attribLocations_[A]&&(this.attribLocations_[A]=this.getGL().getAttribLocation(this.currentProgram_,A)),this.attribLocations_[A]},B.prototype.makeProjectionTransform=function(A,B){var v=A.size,f=A.viewState.rotation,w=A.viewState.resolution,g=A.viewState.center;return RA(B),jA(B,0,0,2/(w*v[0]),2/(w*v[1]),-f,-g[0],-g[1]),B},B.prototype.setUniformFloatValue=function(A,B){this.getGL().uniform1f(this.getUniformLocation(A),B)},B.prototype.setUniformMatrixValue=function(A,B){this.getGL().uniformMatrix4fv(this.getUniformLocation(A),!1,B)},B.prototype.enableAttributeArray_=function(A,B,v,f,w){var g=this.getAttributeLocation(A);g<0||(this.getGL().enableVertexAttribArray(g),this.getGL().vertexAttribPointer(g,B,v,!1,f,w))},B.prototype.enableAttributes=function(A){for(var B=function(A){for(var B=0,v=0;v<A.length;v++){var f=A[v];B+=f.size*$s(f.type)}return B}(A),v=0,f=0;f<A.length;f++){var w=A[f];this.enableAttributeArray_(w.name,w.size,w.type||5126,B,v),v+=w.size*$s(w.type)}},B.prototype.handleWebGLContextLost=function(){H(this.bufferCache_),this.currentProgram_=null},B.prototype.handleWebGLContextRestored=function(){},B.prototype.createTexture=function(A,B,v){var f=this.getGL(),w=v||f.createTexture(),g=f.RGBA,P=f.RGBA,Q=f.UNSIGNED_BYTE;return f.bindTexture(f.TEXTURE_2D,w),B?f.texImage2D(f.TEXTURE_2D,0,g,P,Q,B):f.texImage2D(f.TEXTURE_2D,0,g,A[0],A[1],0,P,Q,null),f.texParameteri(f.TEXTURE_2D,f.TEXTURE_MIN_FILTER,f.LINEAR),f.texParameteri(f.TEXTURE_2D,f.TEXTURE_WRAP_S,f.CLAMP_TO_EDGE),f.texParameteri(f.TEXTURE_2D,f.TEXTURE_WRAP_T,f.CLAMP_TO_EDGE),w},B}(t);function 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f.inversePixelTransform_=[1,0,0,1,0,0],f.postProcesses_=w.postProcesses,f.uniforms_=w.uniforms,f.helper,B.addChangeListener(ig,f.removeHelper_.bind(f)),f.dispatchPreComposeEvent=f.dispatchPreComposeEvent.bind(f),f.dispatchPostComposeEvent=f.dispatchPostComposeEvent.bind(f),f}return AF(B,A),B.prototype.dispatchPreComposeEvent=function(A,B){var v=this.getLayer();if(v.hasListener(yf)){var f=new LP(yf,void 0,B,A);v.dispatchEvent(f)}},B.prototype.dispatchPostComposeEvent=function(A,B){var v=this.getLayer();if(v.hasListener(kf)){var f=new LP(kf,void 0,B,A);v.dispatchEvent(f)}},B.prototype.reset=function(A){this.uniforms_=A.uniforms,this.helper&&this.helper.setUniforms(this.uniforms_)},B.prototype.removeHelper_=function(){this.helper&&(this.helper.dispose(),delete this.helper)},B.prototype.prepareFrame=function(A){if(this.getLayer().getSource()){for(var v=!0,f=-1,w=void 0,g=0,P=A.layerStatesArray.length;g<P;g++){var Q=A.layerStatesArray[g].layer,C=Q.getRenderer();if(C instanceof B){var t=Q.getClassName();if((v||t!==w)&&(f+=1,v=!1),w=t,C===this)break}else v=!0}var e="map/"+A.mapId+"/group/"+f;this.helper&&this.helper.canvasCacheKeyMatches(e)||(this.helper&&this.helper.dispose(),this.helper=new _s({postProcesses:this.postProcesses_,uniforms:this.uniforms_,canvasCacheKey:e}),w&&(this.helper.getCanvas().className=w),this.afterHelperCreated())}return this.prepareFrameInternal(A)},B.prototype.afterHelperCreated=function(){},B.prototype.prepareFrameInternal=function(A){return!0},B.prototype.disposeInternal=function(){this.removeHelper_(),A.prototype.disposeInternal.call(this)},B.prototype.dispatchRenderEvent_=function(A,B,v){var f=this.getLayer();if(f.hasListener(A)){jA(this.inversePixelTransform_,0,0,v.pixelRatio,-v.pixelRatio,0,0,-v.size[1]);var w=new LP(A,this.inversePixelTransform_,v,B);f.dispatchEvent(w)}},B.prototype.preRender=function(A,B){this.dispatchRenderEvent_(lf,A,B)},B.prototype.postRender=function(A,B){this.dispatchRenderEvent_(jf,A,B)},B}(IP);var fF=vF,wF=new Uint8Array(4),gF=function(){function A(A,B){this.helper_=A;var v=A.getGL();this.texture_=v.createTexture(),this.framebuffer_=v.createFramebuffer(),this.size_=B||[1,1],this.data_=new Uint8Array(0),this.dataCacheDirty_=!0,this.updateSize_()}return A.prototype.setSize=function(A){o(A,this.size_)||(this.size_[0]=A[0],this.size_[1]=A[1],this.updateSize_())},A.prototype.getSize=function(){return this.size_},A.prototype.clearCachedData=function(){this.dataCacheDirty_=!0},A.prototype.readAll=function(){if(this.dataCacheDirty_){var A=this.size_,B=this.helper_.getGL();B.bindFramebuffer(B.FRAMEBUFFER,this.framebuffer_),B.readPixels(0,0,A[0],A[1],B.RGBA,B.UNSIGNED_BYTE,this.data_),this.dataCacheDirty_=!1}return this.data_},A.prototype.readPixel=function(A,B){if(A<0||B<0||A>this.size_[0]||B>=this.size_[1])return wF[0]=0,wF[1]=0,wF[2]=0,wF[3]=0,wF;this.readAll();var v=Math.floor(A)+(this.size_[1]-Math.floor(B)-1)*this.size_[0];return wF[0]=this.data_[4*v],wF[1]=this.data_[4*v+1],wF[2]=this.data_[4*v+2],wF[3]=this.data_[4*v+3],wF},A.prototype.getTexture=function(){return this.texture_},A.prototype.getFramebuffer=function(){return this.framebuffer_},A.prototype.updateSize_=function(){var A=this.size_,B=this.helper_.getGL();this.texture_=this.helper_.createTexture(A,null,this.texture_),B.bindFramebuffer(B.FRAMEBUFFER,this.framebuffer_),B.viewport(0,0,A[0],A[1]),B.framebufferTexture2D(B.FRAMEBUFFER,B.COLOR_ATTACHMENT0,B.TEXTURE_2D,this.texture_,0),this.data_=new Uint8Array(A[0]*A[1]*4)},A}();var PF=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),QF=function(A){function B(B,v){var w=this,g=v.uniforms||{},P=[1,0,0,1,0,0];g[ds]=P,(w=A.call(this,B,{uniforms:g,postProcesses:v.postProcesses})||this).sourceRevision_=-1,w.verticesBuffer_=new Ys(Gs,Ts),w.hitVerticesBuffer_=new Ys(Gs,Ts),w.indicesBuffer_=new Ys(hs,Ts),w.vertexShader_=v.vertexShader,w.fragmentShader_=v.fragmentShader,w.program_,w.hitDetectionEnabled_=!(!v.hitFragmentShader||!v.hitVertexShader),w.hitVertexShader_=v.hitVertexShader,w.hitFragmentShader_=v.hitFragmentShader,w.hitProgram_;var Q,C,t=v.attributes?v.attributes.map((function(A){return{name:"a_"+A.name,size:1,type:Vs.FLOAT}})):[];w.attributes=[{name:"a_position",size:2,type:Vs.FLOAT},{name:"a_index",size:1,type:Vs.FLOAT}].concat(t),w.hitDetectionAttributes=[{name:"a_position",size:2,type:Vs.FLOAT},{name:"a_index",size:1,type:Vs.FLOAT},{name:"a_hitColor",size:4,type:Vs.FLOAT},{name:"a_featureUid",size:1,type:Vs.FLOAT}].concat(t),w.customAttributes=v.attributes?v.attributes:[],w.previousExtent_=[1/0,1/0,-1/0,-1/0],w.currentTransform_=P,w.renderTransform_=[1,0,0,1,0,0],w.invertRenderTransform_=[1,0,0,1,0,0],w.renderInstructions_=new Float32Array(0),w.hitRenderInstructions_=new Float32Array(0),w.hitRenderTarget_,w.worker_=(Q=new Blob(['var e="function"==typeof Object.assign?Object.assign:function(e,n){if(null==e)throw new TypeError("Cannot convert undefined or null to object");for(var t=Object(e),r=1,o=arguments.length;r<o;++r){var i=arguments[r];if(null!=i)for(var f in i)i.hasOwnProperty(f)&&(t[f]=i[f])}return t},n="GENERATE_BUFFERS",t=[],r={vertexPosition:0,indexPosition:0};function o(e,n,t,r,o){e[n+0]=t,e[n+1]=r,e[n+2]=o}function i(e,n,i,f,s,u){var a=3+s,l=e[n+0],v=e[n+1],c=t;c.length=s;for(var g=0;g<c.length;g++)c[g]=e[n+2+g];var b=u?u.vertexPosition:0,h=u?u.indexPosition:0,d=b/a;return o(i,b,l,v,0),c.length&&i.set(c,b+3),o(i,b+=a,l,v,1),c.length&&i.set(c,b+3),o(i,b+=a,l,v,2),c.length&&i.set(c,b+3),o(i,b+=a,l,v,3),c.length&&i.set(c,b+3),b+=a,f[h++]=d,f[h++]=d+1,f[h++]=d+3,f[h++]=d+1,f[h++]=d+2,f[h++]=d+3,r.vertexPosition=b,r.indexPosition=h,r}var f=self;f.onmessage=function(t){var r=t.data;if(r.type===n){for(var o=r.customAttributesCount,s=2+o,u=new Float32Array(r.renderInstructions),a=u.length/s,l=4*a*(o+3),v=new Uint32Array(6*a),c=new Float32Array(l),g=null,b=0;b<u.length;b+=s)g=i(u,b,c,v,o,g);var h=e({vertexBuffer:c.buffer,indexBuffer:v.buffer,renderInstructions:u.buffer},r);f.postMessage(h,[c.buffer,v.buffer,u.buffer])}};'],{type:"application/javascript"}),C=URL.createObjectURL(Q),new Worker(C)),w.worker_.addEventListener("message",function(A){var B=A.data;if(B.type===BF){var v=B.projectionTransform;B.hitDetection?(this.hitVerticesBuffer_.fromArrayBuffer(B.vertexBuffer),this.helper.flushBufferData(this.hitVerticesBuffer_)):(this.verticesBuffer_.fromArrayBuffer(B.vertexBuffer),this.helper.flushBufferData(this.verticesBuffer_)),this.indicesBuffer_.fromArrayBuffer(B.indexBuffer),this.helper.flushBufferData(this.indicesBuffer_),this.renderTransform_=v,yA(this.invertRenderTransform_,this.renderTransform_),B.hitDetection?this.hitRenderInstructions_=new Float32Array(A.data.renderInstructions):this.renderInstructions_=new Float32Array(A.data.renderInstructions),this.getLayer().changed()}}.bind(w)),w.featureCache_={},w.featureCount_=0;var e=w.getLayer().getSource();return w.sourceListenKeys_=[y(e,jQ,w.handleSourceFeatureAdded_,w),y(e,yQ,w.handleSourceFeatureChanged_,w),y(e,pQ,w.handleSourceFeatureDelete_,w),y(e,kQ,w.handleSourceFeatureClear_,w)],e.forEachFeature(function(A){this.featureCache_[f(A)]={feature:A,properties:A.getProperties(),geometry:A.getGeometry()},this.featureCount_++}.bind(w)),w}return PF(B,A),B.prototype.afterHelperCreated=function(){this.program_=this.helper.getProgram(this.fragmentShader_,this.vertexShader_),this.hitDetectionEnabled_&&(this.hitProgram_=this.helper.getProgram(this.hitFragmentShader_,this.hitVertexShader_),this.hitRenderTarget_=new gF(this.helper))},B.prototype.handleSourceFeatureAdded_=function(A){var B=A.feature;this.featureCache_[f(B)]={feature:B,properties:B.getProperties(),geometry:B.getGeometry()},this.featureCount_++},B.prototype.handleSourceFeatureChanged_=function(A){var B=A.feature;this.featureCache_[f(B)]={feature:B,properties:B.getProperties(),geometry:B.getGeometry()}},B.prototype.handleSourceFeatureDelete_=function(A){var B=A.feature;delete this.featureCache_[f(B)],this.featureCount_--},B.prototype.handleSourceFeatureClear_=function(){this.featureCache_={},this.featureCount_=0},B.prototype.renderFrame=function(A){var B=this.helper.getGL();this.preRender(B,A);var v=this.indicesBuffer_.getSize();this.helper.drawElements(0,v),this.helper.finalizeDraw(A,this.dispatchPreComposeEvent,this.dispatchPostComposeEvent);var f=this.helper.getCanvas();return this.hitDetectionEnabled_&&(this.renderHitDetection(A),this.hitRenderTarget_.clearCachedData()),this.postRender(B,A),f},B.prototype.prepareFrameInternal=function(A){var B=this.getLayer(),v=B.getSource(),f=A.viewState,w=!A.viewHints[WP]&&!A.viewHints[ZP],g=!eB(this.previousExtent_,A.extent),P=this.sourceRevision_<v.getRevision();if(P&&(this.sourceRevision_=v.getRevision()),w&&(g||P)){var Q=f.projection,C=f.resolution,t=B instanceof Wg?B.getRenderBuffer():0,e=_A(A.extent,t*C);v.loadFeatures(e,C,Q),this.rebuildBuffers_(A),this.previousExtent_=A.extent.slice()}return this.helper.makeProjectionTransform(A,this.currentTransform_),bA(this.currentTransform_,this.invertRenderTransform_),this.helper.useProgram(this.program_),this.helper.prepareDraw(A),this.helper.bindBuffer(this.verticesBuffer_),this.helper.bindBuffer(this.indicesBuffer_),this.helper.enableAttributes(this.attributes),!0},B.prototype.rebuildBuffers_=function(A){var B=[1,0,0,1,0,0];this.helper.makeProjectionTransform(A,B);var v,f,w=(2+this.customAttributes.length)*this.featureCount_;if(this.renderInstructions_&&this.renderInstructions_.length===w||(this.renderInstructions_=new Float32Array(w)),this.hitDetectionEnabled_){var g=(7+this.customAttributes.length)*this.featureCount_;this.hitRenderInstructions_&&this.hitRenderInstructions_.length===g||(this.hitRenderInstructions_=new Float32Array(g))}var P,Q,C,t,e,D=[],E=[],r=0,n=0;for(var o in this.featureCache_)if((f=(v=this.featureCache_[o]).geometry)&&f.getType()===DA){D[0]=f.getFlatCoordinates()[0],D[1]=f.getFlatCoordinates()[1],OA(B,D),Q=n+6,C=void 0,t=void 0,e=void 0,t=256,e=255,(C=E||[])[0]=Math.floor(Q/t/t/t)/e,C[1]=Math.floor(Q/t/t)%t/e,C[2]=Math.floor(Q/t)%t/e,C[3]=Q%t/e,P=C,this.renderInstructions_[r++]=D[0],this.renderInstructions_[r++]=D[1],this.hitDetectionEnabled_&&(this.hitRenderInstructions_[n++]=D[0],this.hitRenderInstructions_[n++]=D[1],this.hitRenderInstructions_[n++]=P[0],this.hitRenderInstructions_[n++]=P[1],this.hitRenderInstructions_[n++]=P[2],this.hitRenderInstructions_[n++]=P[3],this.hitRenderInstructions_[n++]=Number(o));for(var s=void 0,F=0;F<this.customAttributes.length;F++)s=this.customAttributes[F].callback(v.feature,v.properties),this.renderInstructions_[r++]=s,this.hitDetectionEnabled_&&(this.hitRenderInstructions_[n++]=s)}var i={type:BF,renderInstructions:this.renderInstructions_.buffer,customAttributesCount:this.customAttributes.length};if(i.projectionTransform=B,this.worker_.postMessage(i,[this.renderInstructions_.buffer]),this.renderInstructions_=null,this.hitDetectionEnabled_){var u={type:BF,renderInstructions:this.hitRenderInstructions_.buffer,customAttributesCount:5+this.customAttributes.length};u.projectionTransform=B,u.hitDetection=!0,this.worker_.postMessage(u,[this.hitRenderInstructions_.buffer]),this.hitRenderInstructions_=null}},B.prototype.forEachFeatureAtCoordinate=function(A,B,v,f,w){if(fA(this.hitDetectionEnabled_,66),this.hitRenderInstructions_){var g=OA(B.coordinateToPixelTransform,A.slice()),P=this.hitRenderTarget_.readPixel(g[0]/2,g[1]/2),Q=function(A){var B=0,v=256,f=255;return B+=Math.round(A[0]*v*v*v*f),B+=Math.round(A[1]*v*v*f),B+=Math.round(A[2]*v*f),B+Math.round(A[3]*f)}([P[0]/255,P[1]/255,P[2]/255,P[3]/255]),C=this.hitRenderInstructions_[Q],t=Math.floor(C).toString(),e=this.getLayer().getSource().getFeatureByUid(t);return e?f(e,this.getLayer(),null):void 0}},B.prototype.renderHitDetection=function(A){if(this.hitVerticesBuffer_.getSize()){this.hitRenderTarget_.setSize([Math.floor(A.size[0]/2),Math.floor(A.size[1]/2)]),this.helper.useProgram(this.hitProgram_),this.helper.prepareDrawToRenderTarget(A,this.hitRenderTarget_,!0),this.helper.bindBuffer(this.hitVerticesBuffer_),this.helper.bindBuffer(this.indicesBuffer_),this.helper.enableAttributes(this.hitDetectionAttributes);var B=this.indicesBuffer_.getSize();this.helper.drawElements(0,B)}},B.prototype.disposeInternal=function(){this.worker_.terminate(),this.layer_=null,this.sourceListenKeys_.forEach((function(A){p(A)})),this.sourceListenKeys_=null,A.prototype.disposeInternal.call(this)},B}(fF),CF=QF,tF=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),eF="blur",DF="gradient",EF="radius",rF=["#00f","#0ff","#0f0","#ff0","#f00"];var nF=function(A){function B(B){var v=this,f=B||{},w=u({},f);delete w.gradient,delete w.radius,delete w.blur,delete w.weight,(v=A.call(this,w)||this).gradient_=null,v.addChangeListener(DF,v.handleGradientChanged_),v.setGradient(f.gradient?f.gradient:rF),v.setBlur(void 0!==f.blur?f.blur:15),v.setRadius(void 0!==f.radius?f.radius:8);var g=f.weight?f.weight:"weight";return v.weightFunction_="string"==typeof g?function(A){return A.get(g)}:g,v.setRenderOrder(null),v}return tF(B,A),B.prototype.getBlur=function(){return this.get(eF)},B.prototype.getGradient=function(){return this.get(DF)},B.prototype.getRadius=function(){return this.get(EF)},B.prototype.handleGradientChanged_=function(){this.gradient_=function(A){for(var B=1,v=256,f=sw(B,v),w=f.createLinearGradient(0,0,B,v),g=1/(A.length-1),P=0,Q=A.length;P<Q;++P)w.addColorStop(P*g,A[P]);return f.fillStyle=w,f.fillRect(0,0,B,v),f.canvas}(this.getGradient())},B.prototype.setBlur=function(A){this.set(eF,A)},B.prototype.setGradient=function(A){this.set(DF,A)},B.prototype.setRadius=function(A){this.set(EF,A)},B.prototype.createRenderer=function(){return new CF(this,{className:this.getClassName(),attributes:[{name:"weight",callback:function(A){var B=this.weightFunction_(A);return void 0!==B?UB(B,0,1):1}.bind(this)}],vertexShader:"\n        precision mediump float;\n        uniform mat4 u_projectionMatrix;\n        uniform mat4 u_offsetScaleMatrix;\n        uniform float u_size;\n        attribute vec2 a_position;\n        attribute float a_index;\n        attribute float a_weight;\n\n        varying vec2 v_texCoord;\n        varying float v_weight;\n\n        void main(void) {\n          mat4 offsetMatrix = u_offsetScaleMatrix;\n          float offsetX = a_index == 0.0 || a_index == 3.0 ? -u_size / 2.0 : u_size / 2.0;\n          float offsetY = a_index == 0.0 || a_index == 1.0 ? -u_size / 2.0 : u_size / 2.0;\n          vec4 offsets = offsetMatrix * vec4(offsetX, offsetY, 0.0, 0.0);\n          gl_Position = u_projectionMatrix * vec4(a_position, 0.0, 1.0) + offsets;\n          float u = a_index == 0.0 || a_index == 3.0 ? 0.0 : 1.0;\n          float v = a_index == 0.0 || a_index == 1.0 ? 0.0 : 1.0;\n          v_texCoord = vec2(u, v);\n          v_weight = a_weight;\n        }",fragmentShader:"\n        precision mediump float;\n        uniform float u_blurSlope;\n\n        varying vec2 v_texCoord;\n        varying float v_weight;\n\n        void main(void) {\n          vec2 texCoord = v_texCoord * 2.0 - vec2(1.0, 1.0);\n          float sqRadius = texCoord.x * texCoord.x + texCoord.y * texCoord.y;\n          float value = (1.0 - sqrt(sqRadius)) * u_blurSlope;\n          float alpha = smoothstep(0.0, 1.0, value) * v_weight;\n          gl_FragColor = vec4(alpha, alpha, alpha, alpha);\n        }",hitVertexShader:"\n        precision mediump float;\n        uniform mat4 u_projectionMatrix;\n        uniform mat4 u_offsetScaleMatrix;\n        uniform float u_size;\n        attribute vec2 a_position;\n        attribute float a_index;\n        attribute float a_weight;\n        attribute vec4 a_hitColor;\n\n        varying vec2 v_texCoord;\n        varying float v_weight;\n        varying vec4 v_hitColor;\n\n        void main(void) {\n          mat4 offsetMatrix = u_offsetScaleMatrix;\n          float offsetX = a_index == 0.0 || a_index == 3.0 ? -u_size / 2.0 : u_size / 2.0;\n          float offsetY = a_index == 0.0 || a_index == 1.0 ? -u_size / 2.0 : u_size / 2.0;\n          vec4 offsets = offsetMatrix * vec4(offsetX, offsetY, 0.0, 0.0);\n          gl_Position = u_projectionMatrix * vec4(a_position, 0.0, 1.0) + offsets;\n          float u = a_index == 0.0 || a_index == 3.0 ? 0.0 : 1.0;\n          float v = a_index == 0.0 || a_index == 1.0 ? 0.0 : 1.0;\n          v_texCoord = vec2(u, v);\n          v_hitColor = a_hitColor;\n          v_weight = a_weight;\n        }",hitFragmentShader:"\n        precision mediump float;\n        uniform float u_blurSlope;\n\n        varying vec2 v_texCoord;\n        varying float v_weight;\n        varying vec4 v_hitColor;\n\n        void main(void) {\n          vec2 texCoord = v_texCoord * 2.0 - vec2(1.0, 1.0);\n          float sqRadius = texCoord.x * texCoord.x + texCoord.y * texCoord.y;\n          float value = (1.0 - sqrt(sqRadius)) * u_blurSlope;\n          float alpha = smoothstep(0.0, 1.0, value) * v_weight;\n          if (alpha < 0.05) {\n            discard;\n          }\n\n          gl_FragColor = v_hitColor;\n        }",uniforms:{u_size:function(){return 2*(this.get(EF)+this.get(eF))}.bind(this),u_blurSlope:function(){return this.get(EF)/Math.max(1,this.get(eF))}.bind(this)},postProcesses:[{fragmentShader:"\n            precision mediump float;\n\n            uniform sampler2D u_image;\n            uniform sampler2D u_gradientTexture;\n            uniform float u_opacity;\n\n            varying vec2 v_texCoord;\n\n            void main() {\n              vec4 color = texture2D(u_image, v_texCoord);\n              gl_FragColor.a = color.a * u_opacity;\n              gl_FragColor.rgb = texture2D(u_gradientTexture, vec2(0.5, color.a)).rgb;\n              gl_FragColor.rgb *= gl_FragColor.a;\n            }",uniforms:{u_gradientTexture:function(){return this.gradient_}.bind(this),u_opacity:function(){return this.getOpacity()}.bind(this)}}]})},B.prototype.renderDeclutter=function(){},B}(Wg),oF=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),sF=function(A){function B(B){var v=B||{};return A.call(this,v)||this}return oF(B,A),B}(Mg),FF={imageSmoothingEnabled:!1,msImageSmoothingEnabled:!1},iF=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),uF=function(A){function B(B){var v=A.call(this,B)||this;return v.image_=null,v}return iF(B,A),B.prototype.getImage=function(){return this.image_?this.image_.getImage():null},B.prototype.prepareFrame=function(A){var B=A.layerStatesArray[A.layerIndex],v=A.pixelRatio,f=A.viewState,w=f.resolution,g=this.getLayer().getSource(),P=A.viewHints,Q=A.extent;if(void 0!==B.extent&&(Q=aB(Q,jv(B.extent,f.projection))),!P[WP]&&!P[ZP]&&!MB(Q))if(g){var C=f.projection,t=g.getImage(Q,w,v,C);t&&this.loadImage(t)&&(this.image_=t)}else this.image_=null;return!!this.image_},B.prototype.renderFrame=function(A,B){var v=this.image_,f=v.getExtent(),w=v.getResolution(),g=v.getPixelRatio(),P=A.layerStatesArray[A.layerIndex],Q=A.pixelRatio,C=A.viewState,t=C.center,e=C.resolution,D=A.size,E=Q*w/(e*g),r=Math.round(D[0]*Q),n=Math.round(D[1]*Q),o=C.rotation;if(o){var s=Math.round(Math.sqrt(r*r+n*n));r=s,n=s}jA(this.pixelTransform,A.size[0]/2,A.size[1]/2,1/Q,1/Q,o,-r/2,-n/2),yA(this.inversePixelTransform,this.pixelTransform);var F=kA(this.pixelTransform);this.useContainer(B,F,P.opacity);var i=this.context,H=i.canvas;H.width!=r||H.height!=n?(H.width=r,H.height=n):this.containerReused||i.clearRect(0,0,r,n);var c=!1,I=!0;if(P.extent){var a=jv(P.extent,C.projection);(c=(I=hB(a,A.extent))&&!vB(a,A.extent))&&this.clipUnrotated(i,A,a)}var L=v.getImage(),z=jA(this.tempTransform,r/2,n/2,E,E,0,g*(f[0]-t[0])/w,g*(t[1]-f[3])/w);this.renderedResolution=w*Q/g;var G=L.width*z[0],h=L.height*z[3];if(this.getLayer().getSource().getInterpolate()||u(i,FF),this.preRender(i,A),I&&G>=.5&&h>=.5){var M=z[4],T=z[5],x=P.opacity,U=void 0;1!==x&&(U=i.globalAlpha,i.globalAlpha=x),i.drawImage(L,0,0,+L.width,+L.height,Math.round(M),Math.round(T),Math.round(G),Math.round(h)),1!==x&&(i.globalAlpha=U)}return this.postRender(i,A),c&&i.restore(),F!==H.style.transform&&(H.style.transform=F),this.container},B}(hP),HF=uF,cF=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),IF=function(A){function B(B){return A.call(this,B)||this}return cF(B,A),B.prototype.createRenderer=function(){return new HF(this)},B}(sF),aF=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),LF=function(A){function B(B){var v=A.call(this,B)||this;return v.extentChanged=!0,v.renderedExtent_=null,v.renderedPixelRatio,v.renderedProjection=null,v.renderedRevision,v.renderedTiles=[],v.newTiles_=!1,v.tmpExtent=[1/0,1/0,-1/0,-1/0],v.tmpTileRange_=new oE(0,0,0,0),v}return aF(B,A),B.prototype.isDrawableTile=function(A){var B=this.getLayer(),v=A.getState(),f=B.getUseInterimTilesOnError();return v==fC||v==gC||v==wC&&!f},B.prototype.getTile=function(A,B,v,f){var w=f.pixelRatio,g=f.viewState.projection,P=this.getLayer(),Q=P.getSource().getTile(A,B,v,w,g);return Q.getState()==wC&&(P.getUseInterimTilesOnError()?P.getPreload()>0&&(this.newTiles_=!0):Q.setState(fC)),this.isDrawableTile(Q)||(Q=Q.getInterimTile()),Q},B.prototype.loadedTileCallback=function(B,v,f){return!!this.isDrawableTile(f)&&A.prototype.loadedTileCallback.call(this,B,v,f)},B.prototype.prepareFrame=function(A){return!!this.getLayer().getSource()},B.prototype.renderFrame=function(A,B){var v=A.layerStatesArray[A.layerIndex],w=A.viewState,g=w.projection,P=w.resolution,Q=w.center,C=w.rotation,t=A.pixelRatio,D=this.getLayer(),E=D.getSource(),r=E.getRevision(),n=E.getTileGridForProjection(g),o=n.getZForResolution(P,E.zDirection),s=n.getResolution(o),F=A.extent,i=v.extent&&jv(v.extent);i&&(F=aB(F,jv(v.extent)));var H=E.getTilePixelRatio(t),c=Math.round(A.size[0]*H),I=Math.round(A.size[1]*H);if(C){var a=Math.round(Math.sqrt(c*c+I*I));c=a,I=a}var L=s*c/2/H,z=s*I/2/H,G=[Q[0]-L,Q[1]-z,Q[0]+L,Q[1]+z],h=n.getTileRangeForExtentAndZ(F,o),M={};M[o]={};var T=this.createLoadedTileFinder(E,g,M),x=this.tmpExtent,U=this.tmpTileRange_;this.newTiles_=!1;for(var X=h.minX;X<=h.maxX;++X)for(var R=h.minY;R<=h.maxY;++R){var b=this.getTile(o,X,R,A);if(this.isDrawableTile(b)){var Y=f(this);if(b.getState()==fC){M[o][b.tileCoord.toString()]=b;var O=b.inTransition(Y);this.newTiles_||!O&&-1!==this.renderedTiles.indexOf(b)||(this.newTiles_=!0)}if(1===b.getAlpha(Y,A.time))continue}var l=n.getTileCoordChildTileRange(b.tileCoord,U,x),j=!1;l&&(j=T(o+1,l)),j||n.forEachTileCoordParentTileRange(b.tileCoord,T,U,x)}var y=s/P;jA(this.pixelTransform,A.size[0]/2,A.size[1]/2,1/H,1/H,C,-c/2,-I/2);var k=kA(this.pixelTransform);this.useContainer(B,k,v.opacity,this.getBackground(A));var p=this.context,d=p.canvas;yA(this.inversePixelTransform,this.pixelTransform),jA(this.tempTransform,c/2,I/2,y,y,0,-c/2,-I/2),d.width!=c||d.height!=I?(d.width=c,d.height=I):this.containerReused||p.clearRect(0,0,c,I),i&&this.clipUnrotated(p,A,i),E.getInterpolate()||u(p,FF),this.preRender(p,A),this.renderedTiles.length=0;var J,K,S,N=Object.keys(M).map(Number);N.sort(e),1!==v.opacity||this.containerReused&&!E.getOpaque(A.viewState.projection)?(J=[],K=[]):N=N.reverse();for(var m=N.length-1;m>=0;--m){var V=N[m],W=E.getTilePixelSize(V,t,g),Z=n.getResolution(V)/s,q=W[0]*Z*y,_=W[1]*Z*y,$=n.getTileCoordForCoordAndZ(LB(G),V),AA=n.getTileCoordExtent($),BA=OA(this.tempTransform,[H*(AA[0]-G[0])/s,H*(G[3]-AA[3])/s]),vA=H*E.getGutterForProjection(g),fA=M[V];for(var wA in fA){var gA=(b=fA[wA]).tileCoord,PA=$[1]-gA[1],QA=Math.round(BA[0]-(PA-1)*q),CA=$[2]-gA[2],tA=Math.round(BA[1]-(CA-1)*_),eA=QA-(X=Math.round(BA[0]-PA*q)),DA=tA-(R=Math.round(BA[1]-CA*_)),EA=o===V;if(!(O=EA&&1!==b.getAlpha(f(this),A.time)))if(J){p.save(),S=[X,R,X+eA,R,X+eA,R+DA,X,R+DA];for(var rA=0,nA=J.length;rA<nA;++rA)if(o!==V&&V<K[rA]){var oA=J[rA];p.beginPath(),p.moveTo(S[0],S[1]),p.lineTo(S[2],S[3]),p.lineTo(S[4],S[5]),p.lineTo(S[6],S[7]),p.moveTo(oA[6],oA[7]),p.lineTo(oA[4],oA[5]),p.lineTo(oA[2],oA[3]),p.lineTo(oA[0],oA[1]),p.clip()}J.push(S),K.push(V)}else p.clearRect(X,R,eA,DA);this.drawTileImage(b,A,X,R,eA,DA,vA,EA),J&&!O?(p.restore(),this.renderedTiles.unshift(b)):this.renderedTiles.push(b),this.updateUsedTiles(A.usedTiles,E,b)}}this.renderedRevision=r,this.renderedResolution=s,this.extentChanged=!this.renderedExtent_||!eB(this.renderedExtent_,G),this.renderedExtent_=G,this.renderedPixelRatio=t,this.renderedProjection=g,this.manageTilePyramid(A,E,n,t,g,F,o,D.getPreload()),this.scheduleExpireCache(A,E),this.postRender(p,A),v.extent&&p.restore(),k!==d.style.transform&&(d.style.transform=k);var sA=Gw(v.opacity),FA=this.container;return sA!==FA.style.opacity&&(FA.style.opacity=sA),this.container},B.prototype.drawTileImage=function(A,B,v,w,g,P,Q,C){var t=this.getTileImage(A);if(t){var e=f(this),D=C?A.getAlpha(e,B.time):1,E=D!==this.context.globalAlpha;E&&(this.context.save(),this.context.globalAlpha=D),this.context.drawImage(t,Q,Q,t.width-2*Q,t.height-2*Q,v,w,g,P),E&&this.context.restore(),1!==D?B.animate=!0:C&&A.endTransition(e)}},B.prototype.getImage=function(){var A=this.context;return A?A.canvas:null},B.prototype.getTileImage=function(A){return A.getImage()},B.prototype.scheduleExpireCache=function(A,B){if(B.canExpireCache()){var v=function(A,B,v){var w=f(A);w in v.usedTiles&&A.expireCache(v.viewState.projection,v.usedTiles[w])}.bind(null,B);A.postRenderFunctions.push(v)}},B.prototype.updateUsedTiles=function(A,B,v){var w=f(B);w in A||(A[w]={}),A[w][v.getKey()]=!0},B.prototype.manageTilePyramid=function(A,B,v,w,g,P,Q,C,t){var e=f(B);e in A.wantedTiles||(A.wantedTiles[e]={});var D,E,r,n,o,s,F=A.wantedTiles[e],i=A.tileQueue,u=0;for(s=v.getMinZoom();s<=Q;++s)for(E=v.getTileRangeForExtentAndZ(P,s,E),r=v.getResolution(s),n=E.minX;n<=E.maxX;++n)for(o=E.minY;o<=E.maxY;++o)Q-s<=C?(++u,(D=B.getTile(s,n,o,w,g)).getState()==BC&&(F[D.getKey()]=!0,i.isKeyQueued(D.getKey())||i.enqueue([D,e,v.getTileCoordCenter(D.tileCoord),r])),void 0!==t&&t(D)):B.useTile(s,n,o,g);B.updateCacheSize(u,g)},B}(hP);LF.prototype.getLayer;var zF=LF,GF="image",hF="hybrid",MF="vector",TF=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),xF={image:[XP,MP,UP,xP,RP],hybrid:[XP,UP],vector:[]},UF={hybrid:[xP,RP,TP],vector:[XP,MP,UP,xP,RP,TP]},XF=function(A){function B(B){var v=A.call(this,B)||this;return v.boundHandleStyleImageChange_=v.handleStyleImageChange_.bind(v),v.dirty_=!1,v.renderedLayerRevision_,v.renderedPixelToCoordinateTransform_=null,v.renderedRotation_,v.tmpTransform_=[1,0,0,1,0,0],v}return TF(B,A),B.prototype.prepareTile=function(A,B,v){var f,w=A.getState();return w!==fC&&w!==wC||(this.updateExecutorGroup_(A,B,v),this.tileImageNeedsRender_(A)&&(f=!0)),f},B.prototype.getTile=function(B,v,f,w){var g=w.pixelRatio,P=w.viewState,Q=P.resolution,C=P.projection,t=this.getLayer(),e=t.getSource().getTile(B,v,f,g,C),D=w.viewHints,E=!(D[WP]||D[ZP]);return!E&&e.wantedResolution||(e.wantedResolution=Q),this.prepareTile(e,g,C)&&(E||Date.now()-w.time<8)&&t.getRenderMode()!==MF&&this.renderTileImage_(e,w),A.prototype.getTile.call(this,B,v,f,w)},B.prototype.isDrawableTile=function(B){var v=this.getLayer();return A.prototype.isDrawableTile.call(this,B)&&(v.getRenderMode()===MF?f(v)in B.executorGroups:B.hasContext(v))},B.prototype.getTileImage=function(A){return A.getImage(this.getLayer())},B.prototype.prepareFrame=function(B){var v=this.getLayer().getRevision();return this.renderedLayerRevision_!=v&&(this.renderedTiles.length=0),this.renderedLayerRevision_=v,A.prototype.prepareFrame.call(this,B)},B.prototype.updateExecutorGroup_=function(A,B,v){var w=this.getLayer(),g=w.getRevision(),P=w.getRenderOrder()||null,Q=A.wantedResolution,C=A.getReplayState(w);if(C.dirty||C.renderedResolution!==Q||C.renderedRevision!=g||C.renderedRenderOrder!=P){var t=w.getSource(),e=w.getDeclutter(),D=t.getTileGrid(),E=t.getTileGridForProjection(v).getTileCoordExtent(A.wrappedTileCoord),r=t.getSourceTiles(B,v,A),n=f(w);delete A.hitDetectionImageData[n],A.executorGroups[n]=[],e&&(A.declutterExecutorGroups[n]=[]);for(var o=function(v,f){var g=r[v];if(g.getState()!=fC)return"continue";var o=g.tileCoord,F=D.getTileCoordExtent(o),i=aB(E,F),u=_A(i,w.getRenderBuffer()*Q,s.tmpExtent),H=eB(F,i)?null:u;C.dirty=!1;var c=new uP(0,u,Q,B),I=e?new uP(0,i,Q,B):void 0,a=LQ(Q,B),L=function(A){var B,v=A.getStyleFunction()||w.getStyleFunction();if(v&&(B=v(A,Q)),B){var f=this.renderFeature(A,a,B,c,I);this.dirty_=this.dirty_||f,C.dirty=C.dirty||f}},z=g.getFeatures();P&&P!==C.renderedRenderOrder&&z.sort(P);for(var G=0,h=z.length;G<h;++G){var M=z[G];H&&!hB(H,M.getGeometry().getExtent())||L.call(s,M)}var T=c.finish(),x=w.getRenderMode()!==MF&&e&&1===r.length?null:i,U=new VP(x,Q,B,t.getOverlaps(),T,w.getRenderBuffer());if(A.executorGroups[n].push(U),I){var X=new VP(null,Q,B,t.getOverlaps(),I.finish(),w.getRenderBuffer());A.declutterExecutorGroups[n].push(X)}},s=this,F=0,i=r.length;F<i;++F)o(F);C.renderedRevision=g,C.renderedRenderOrder=P,C.renderedResolution=Q}},B.prototype.forEachFeatureAtCoordinate=function(A,B,v,w,g){var P=B.viewState.resolution,Q=B.viewState.rotation;v=null==v?0:v;var C=this.getLayer(),t=C.getSource().getTileGridForProjection(B.viewState.projection),e=qA([A]);_A(e,P*v,e);for(var D,E={},r=function(A,B,v){var P=A.getId();void 0===P&&(P=f(A));var Q=E[P];if(Q){if(!0!==Q&&v<Q.distanceSq){if(0===v)return E[P]=!0,g.splice(g.lastIndexOf(Q),1),w(A,C,B);Q.geometry=B,Q.distanceSq=v}}else{if(0===v)return E[P]=!0,w(A,C,B);g.push(E[P]={feature:A,layer:C,geometry:B,distanceSq:v,callback:w})}},n=this.renderedTiles,o=function(w,g){var E=n[w];if(!hB(t.getTileCoordExtent(E.wrappedTileCoord),e))return"continue";var o=f(C),s=[E.executorGroups[o]],F=E.declutterExecutorGroups[o];F&&s.push(F),s.some((function(f){for(var w=f===F?B.declutterTree.all().map((function(A){return A.value})):null,g=0,C=f.length;g<C;++g){var t=f[g];if(D=t.forEachFeatureAtCoordinate(A,P,Q,v,r,w))return!0}}))},s=0,F=n.length;!D&&s<F;++s)o(s);return D},B.prototype.getFeatures=function(A){return new Promise(function(B,v){for(var w,g=this.getLayer(),P=f(g),Q=g.getSource(),C=this.renderedProjection,t=C.getExtent(),e=this.renderedResolution,D=Q.getTileGridForProjection(C),E=OA(this.renderedPixelToCoordinateTransform_,A.slice()),r=D.getTileCoordForCoordAndResolution(E,e),n=0,o=this.renderedTiles.length;n<o;++n)if(r.toString()===this.renderedTiles[n].tileCoord.toString()){if((w=this.renderedTiles[n]).getState()===fC){var s=D.getTileCoordExtent(w.tileCoord);Q.getWrapX()&&C.canWrapX()&&!vB(t,s)&&Hv(E,C);break}w=void 0}if(!w||w.loadingSourceTiles>0)B([]);else{var F=LB(D.getTileCoordExtent(w.wrappedTileCoord)),i=[(E[0]-F[0])/e,(F[1]-E[1])/e],u=w.getSourceTiles().reduce((function(A,B){return A.concat(B.getFeatures())}),[]),H=w.hitDetectionImageData[P];if(!H&&!this.animatingOrInteracting_){var c=ww(D.getTileSize(D.getZForResolution(e))),I=this.renderedRotation_;H=HQ(c,[this.getRenderTransform(D.getTileCoordCenter(w.wrappedTileCoord),e,0,uQ,c[0]*uQ,c[1]*uQ,0)],u,g.getStyleFunction(),D.getTileCoordExtent(w.wrappedTileCoord),w.getReplayState(g).renderedResolution,I),w.hitDetectionImageData[P]=H}B(cQ(i,u,H))}}.bind(this))},B.prototype.handleFontsChanged=function(){var A=this.getLayer();A.getVisible()&&void 0!==this.renderedLayerRevision_&&A.changed()},B.prototype.handleStyleImageChange_=function(A){this.renderIfReadyAndVisible()},B.prototype.renderDeclutter=function(A){var B=this.context,v=B.globalAlpha;B.globalAlpha=this.getLayer().getOpacity();for(var w=A.viewHints,g=!(w[WP]||w[ZP]),P=this.renderedTiles,Q=0,C=P.length;Q<C;++Q){var t=P[Q],e=t.declutterExecutorGroups[f(this.getLayer())];if(e)for(var D=e.length-1;D>=0;--D)e[D].execute(this.context,1,this.getTileRenderTransform(t,A),A.viewState.rotation,g,void 0,A.declutterTree)}B.globalAlpha=v},B.prototype.getTileRenderTransform=function(A,B){var v=B.pixelRatio,f=B.viewState,w=f.center,g=f.resolution,P=f.rotation,Q=B.size,C=Math.round(Q[0]*v),t=Math.round(Q[1]*v),e=this.getLayer().getSource().getTileGridForProjection(B.viewState.projection),D=A.tileCoord,E=e.getTileCoordExtent(A.wrappedTileCoord),r=e.getTileCoordExtent(D,this.tmpExtent)[0]-E[0];return bA(lA(this.inversePixelTransform.slice(),1/v,1/v),this.getRenderTransform(w,g,P,v,C,t,r))},B.prototype.renderFrame=function(B,v){var w=B.viewHints,g=!(w[WP]||w[ZP]);A.prototype.renderFrame.call(this,B,v),this.renderedPixelToCoordinateTransform_=B.pixelToCoordinateTransform.slice(),this.renderedRotation_=B.viewState.rotation;var P=this.getLayer(),Q=P.getRenderMode(),C=this.context,t=C.globalAlpha;C.globalAlpha=P.getOpacity();for(var e=UF[Q],D=B.viewState.rotation,E=this.renderedTiles,r=[],n=[],o=E.length-1;o>=0;--o)for(var s=E[o],F=this.getTileRenderTransform(s,B),i=s.executorGroups[f(P)],u=!1,H=0,c=i.length;H<c;++H){var I=i[H];if(I.hasExecutors(e)){var a=s.tileCoord[0],L=void 0;if(!u&&(L=I.getClipCoords(F))){C.save();for(var z=0,G=r.length;z<G;++z){var h=r[z];a<n[z]&&(C.beginPath(),C.moveTo(L[0],L[1]),C.lineTo(L[2],L[3]),C.lineTo(L[4],L[5]),C.lineTo(L[6],L[7]),C.moveTo(h[6],h[7]),C.lineTo(h[4],h[5]),C.lineTo(h[2],h[3]),C.lineTo(h[0],h[1]),C.clip())}}I.execute(C,1,F,D,g,e),!u&&L&&(C.restore(),r.push(L),n.push(a),u=!0)}}return C.globalAlpha=t,this.container},B.prototype.renderFeature=function(A,B,v,f,w){if(!v)return!1;var g=!1;if(Array.isArray(v))for(var P=0,Q=v.length;P<Q;++P)g=GQ(f,A,v[P],B,this.boundHandleStyleImageChange_,void 0,w)||g;else g=GQ(f,A,v,B,this.boundHandleStyleImageChange_,void 0,w);return g},B.prototype.tileImageNeedsRender_=function(A){var B=this.getLayer();if(B.getRenderMode()===MF)return!1;var v=A.getReplayState(B),f=B.getRevision(),w=A.wantedResolution;return v.renderedTileResolution!==w||v.renderedTileRevision!==f},B.prototype.renderTileImage_=function(A,B){var v=this.getLayer(),w=A.getReplayState(v),g=v.getRevision(),P=A.executorGroups[f(v)];w.renderedTileRevision=g;var Q=A.wrappedTileCoord,C=Q[0],t=v.getSource(),e=B.pixelRatio,D=B.viewState.projection,E=t.getTileGridForProjection(D),r=E.getResolution(A.tileCoord[0]),n=B.pixelRatio/A.wantedResolution*r,o=E.getResolution(C),s=A.getContext(v);e=Math.round(Math.max(e,n/e));var F=t.getTilePixelSize(C,e,D);s.canvas.width=F[0],s.canvas.height=F[1];var i=e/n;if(1!==i){var u=RA(this.tmpTransform_);lA(u,i,i),s.setTransform.apply(s,u)}var H=E.getTileCoordExtent(Q,this.tmpExtent),c=n/o,I=RA(this.tmpTransform_);lA(I,c,-c),function(A,B,v){bA(A,YA(XA,1,0,0,1,B,v))}(I,-H[0],-H[3]);for(var a=0,L=P.length;a<L;++a){P[a].execute(s,i,I,0,!0,xF[v.getRenderMode()])}w.renderedTileResolution=A.wantedResolution},B}(zF),RF=XF,bF="preload",YF="useInterimTilesOnError",OF=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),lF=function(A){function B(B){var v=this,f=B||{},w=u({},f);delete w.preload,delete w.useInterimTilesOnError,(v=A.call(this,w)||this).on,v.once,v.un,f.renderMode===GF&&(console.warn('renderMode: "image" is deprecated. Option ignored.'),f.renderMode=void 0);var g=f.renderMode||hF;return fA(g==hF||g==MF,28),v.renderMode_=g,v.setPreload(f.preload?f.preload:0),v.setUseInterimTilesOnError(void 0===f.useInterimTilesOnError||f.useInterimTilesOnError),v.getBackground,v.setBackground,v}return OF(B,A),B.prototype.createRenderer=function(){return new RF(this)},B.prototype.getFeatures=function(B){return A.prototype.getFeatures.call(this,B)},B.prototype.getRenderMode=function(){return this.renderMode_},B.prototype.getPreload=function(){return this.get(bF)},B.prototype.getUseInterimTilesOnError=function(){return this.get(YF)},B.prototype.setPreload=function(A){this.set(bF,A)},B.prototype.setUseInterimTilesOnError=function(A){this.set(YF,A)},B}(Wg),jF="tileloadstart",yF="tileloadend",kF="tileloaderror",pF=[0,0,0],dF=function(){function A(A){var B,v,f,w;if(this.minZoom=void 0!==A.minZoom?A.minZoom:0,this.resolutions_=A.resolutions,fA((B=this.resolutions_,v=!0,f=function(A,B){return B-A}||e,B.every((function(A,w){if(0===w)return!0;var g=f(B[w-1],A);return!(g>0||v&&0===g)}))),17),!A.origins)for(var g=0,P=this.resolutions_.length-1;g<P;++g)if(w){if(this.resolutions_[g]/this.resolutions_[g+1]!==w){w=void 0;break}}else w=this.resolutions_[g]/this.resolutions_[g+1];this.zoomFactor_=w,this.maxZoom=this.resolutions_.length-1,this.origin_=void 0!==A.origin?A.origin:null,this.origins_=null,void 0!==A.origins&&(this.origins_=A.origins,fA(this.origins_.length==this.resolutions_.length,20));var Q=A.extent;void 0===Q||this.origin_||this.origins_||(this.origin_=LB(Q)),fA(!this.origin_&&this.origins_||this.origin_&&!this.origins_,18),this.tileSizes_=null,void 0!==A.tileSizes&&(this.tileSizes_=A.tileSizes,fA(this.tileSizes_.length==this.resolutions_.length,19)),this.tileSize_=void 0!==A.tileSize?A.tileSize:this.tileSizes_?null:WC,fA(!this.tileSize_&&this.tileSizes_||this.tileSize_&&!this.tileSizes_,22),this.extent_=void 0!==Q?Q:null,this.fullTileRanges_=null,this.tmpSize_=[0,0],this.tmpExtent_=[0,0,0,0],void 0!==A.sizes?this.fullTileRanges_=A.sizes.map((function(A,B){var v=new oE(Math.min(0,A[0]),Math.max(A[0]-1,-1),Math.min(0,A[1]),Math.max(A[1]-1,-1));if(Q){var f=this.getTileRangeForExtentAndZ(Q,B);v.minX=Math.max(f.minX,v.minX),v.maxX=Math.min(f.maxX,v.maxX),v.minY=Math.max(f.minY,v.minY),v.maxY=Math.min(f.maxY,v.maxY)}return v}),this):Q&&this.calculateTileRanges_(Q)}return A.prototype.forEachTileCoord=function(A,B,v){for(var f=this.getTileRangeForExtentAndZ(A,B),w=f.minX,g=f.maxX;w<=g;++w)for(var P=f.minY,Q=f.maxY;P<=Q;++P)v([B,w,P])},A.prototype.forEachTileCoordParentTileRange=function(A,B,v,f){var w,g,P=null,Q=A[0]-1;for(2===this.zoomFactor_?(w=A[1],g=A[2]):P=this.getTileCoordExtent(A,f);Q>=this.minZoom;){if(B(Q,2===this.zoomFactor_?nE(w=Math.floor(w/2),w,g=Math.floor(g/2),g,v):this.getTileRangeForExtentAndZ(P,Q,v)))return!0;--Q}return!1},A.prototype.getExtent=function(){return this.extent_},A.prototype.getMaxZoom=function(){return this.maxZoom},A.prototype.getMinZoom=function(){return this.minZoom},A.prototype.getOrigin=function(A){return this.origin_?this.origin_:this.origins_[A]},A.prototype.getResolution=function(A){return this.resolutions_[A]},A.prototype.getResolutions=function(){return this.resolutions_},A.prototype.getTileCoordChildTileRange=function(A,B,v){if(A[0]<this.maxZoom){if(2===this.zoomFactor_){var f=2*A[1],w=2*A[2];return nE(f,f+1,w,w+1,B)}var g=this.getTileCoordExtent(A,v||this.tmpExtent_);return this.getTileRangeForExtentAndZ(g,A[0]+1,B)}return null},A.prototype.getTileRangeForTileCoordAndZ=function(A,B,v){if(B>this.maxZoom||B<this.minZoom)return null;var f=A[0],w=A[1],g=A[2];if(B===f)return nE(w,g,w,g,v);if(this.zoomFactor_){var P=Math.pow(this.zoomFactor_,B-f),Q=Math.floor(w*P),C=Math.floor(g*P);return B<f?nE(Q,Q,C,C,v):nE(Q,Math.floor(P*(w+1))-1,C,Math.floor(P*(g+1))-1,v)}var t=this.getTileCoordExtent(A,this.tmpExtent_);return this.getTileRangeForExtentAndZ(t,B,v)},A.prototype.getTileRangeExtent=function(A,B,v){var f=this.getOrigin(A),w=this.getResolution(A),g=ww(this.getTileSize(A),this.tmpSize_),P=f[0]+B.minX*g[0]*w,Q=f[0]+(B.maxX+1)*g[0]*w;return PB(P,f[1]+B.minY*g[1]*w,Q,f[1]+(B.maxY+1)*g[1]*w,v)},A.prototype.getTileRangeForExtentAndZ=function(A,B,v){var f=pF;this.getTileCoordForXYAndZ_(A[0],A[3],B,!1,f);var w=f[1],g=f[2];return this.getTileCoordForXYAndZ_(A[2],A[1],B,!0,f),nE(w,f[1],g,f[2],v)},A.prototype.getTileCoordCenter=function(A){var B=this.getOrigin(A[0]),v=this.getResolution(A[0]),f=ww(this.getTileSize(A[0]),this.tmpSize_);return[B[0]+(A[1]+.5)*f[0]*v,B[1]-(A[2]+.5)*f[1]*v]},A.prototype.getTileCoordExtent=function(A,B){var v=this.getOrigin(A[0]),f=this.getResolution(A[0]),w=ww(this.getTileSize(A[0]),this.tmpSize_),g=v[0]+A[1]*w[0]*f,P=v[1]-(A[2]+1)*w[1]*f;return PB(g,P,g+w[0]*f,P+w[1]*f,B)},A.prototype.getTileCoordForCoordAndResolution=function(A,B,v){return this.getTileCoordForXYAndResolution_(A[0],A[1],B,!1,v)},A.prototype.getTileCoordForXYAndResolution_=function(A,B,v,f,w){var g=this.getZForResolution(v),P=v/this.getResolution(g),Q=this.getOrigin(g),C=ww(this.getTileSize(g),this.tmpSize_),t=P*(A-Q[0])/v/C[0],e=P*(Q[1]-B)/v/C[1];return f?(t=JB(t,5)-1,e=JB(e,5)-1):(t=dB(t,5),e=dB(e,5)),gE(g,t,e,w)},A.prototype.getTileCoordForXYAndZ_=function(A,B,v,f,w){var g=this.getOrigin(v),P=this.getResolution(v),Q=ww(this.getTileSize(v),this.tmpSize_),C=(A-g[0])/P/Q[0],t=(g[1]-B)/P/Q[1];return f?(C=JB(C,5)-1,t=JB(t,5)-1):(C=dB(C,5),t=dB(t,5)),gE(v,C,t,w)},A.prototype.getTileCoordForCoordAndZ=function(A,B,v){return this.getTileCoordForXYAndZ_(A[0],A[1],B,!1,v)},A.prototype.getTileCoordResolution=function(A){return this.resolutions_[A[0]]},A.prototype.getTileSize=function(A){return this.tileSize_?this.tileSize_:this.tileSizes_[A]},A.prototype.getFullTileRange=function(A){return this.fullTileRanges_?this.fullTileRanges_[A]:this.extent_?this.getTileRangeForExtentAndZ(this.extent_,A):null},A.prototype.getZForResolution=function(A,B){return UB(E(this.resolutions_,A,B||0),this.minZoom,this.maxZoom)},A.prototype.calculateTileRanges_=function(A){for(var B=this.resolutions_.length,v=new Array(B),f=this.minZoom;f<B;++f)v[f]=this.getTileRangeForExtentAndZ(A,f);this.fullTileRanges_=v},A}(),JF=dF;function KF(A){var B=A.getDefaultTileGrid();return B||(B=mF(A),A.setDefaultTileGrid(B)),B}function SF(A){var B=A||{},v=B.extent||Lv("EPSG:3857").getExtent(),f={extent:v,minZoom:B.minZoom,tileSize:B.tileSize,resolutions:NF(v,B.maxZoom,B.tileSize,B.maxResolution)};return new JF(f)}function NF(A,B,v,f){for(var w=void 0!==B?B:42,g=IB(A),P=GB(A),Q=ww(void 0!==v?v:WC),C=f>0?f:Math.max(P/Q[0],g/Q[1]),t=w+1,e=new Array(t),D=0;D<t;++D)e[D]=C/Math.pow(2,D);return e}function mF(A,B,v,f){return function(A,B,v,f){var w=void 0!==f?f:JA,g=NF(A,B,v);return new JF({extent:A,origin:HB(A,w),resolutions:g,tileSize:v})}(VF(A),B,v,f)}function VF(A){var B=(A=Lv(A)).getExtent();if(!B){var v=180*cA[IA.DEGREES]/A.getMetersPerUnit();B=PB(-v,-v,v,v)}return B}var WF=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),ZF=function(A){function v(B){var v=A.call(this,{attributions:B.attributions,attributionsCollapsible:B.attributionsCollapsible,projection:B.projection,state:B.state,wrapX:B.wrapX,interpolate:B.interpolate})||this;v.on,v.once,v.un,v.opaque_=void 0!==B.opaque&&B.opaque,v.tilePixelRatio_=void 0!==B.tilePixelRatio?B.tilePixelRatio:1,v.tileGrid=void 0!==B.tileGrid?B.tileGrid:null;var f=B.tileGrid;return f&&ww(f.getTileSize(f.getMinZoom()),[256,256]),v.tileCache=new EE(B.cacheSize||0),v.tmpSize=[0,0],v.key_=B.key||"",v.tileOptions={transition:B.transition,interpolate:B.interpolate},v.zDirection=B.zDirection?B.zDirection:0,v}return WF(v,A),v.prototype.canExpireCache=function(){return this.tileCache.canExpireCache()},v.prototype.expireCache=function(A,B){var v=this.getTileCacheForProjection(A);v&&v.expireCache(B)},v.prototype.forEachLoadedTile=function(A,B,v,f){var w=this.getTileCacheForProjection(A);if(!w)return!1;for(var g,P,Q,C=!0,t=v.minX;t<=v.maxX;++t)for(var e=v.minY;e<=v.maxY;++e)P=PE(B,t,e),Q=!1,w.containsKey(P)&&(Q=(g=w.get(P)).getState()===fC)&&(Q=!1!==f(g)),Q||(C=!1);return C},v.prototype.getGutterForProjection=function(A){return 0},v.prototype.getKey=function(){return this.key_},v.prototype.setKey=function(A){this.key_!==A&&(this.key_=A,this.changed())},v.prototype.getOpaque=function(A){return this.opaque_},v.prototype.getResolutions=function(){return this.tileGrid.getResolutions()},v.prototype.getTile=function(A,v,f,w,g){return B()},v.prototype.getTileGrid=function(){return this.tileGrid},v.prototype.getTileGridForProjection=function(A){return this.tileGrid?this.tileGrid:KF(A)},v.prototype.getTileCacheForProjection=function(A){return fA(Mv(this.getProjection(),A),68),this.tileCache},v.prototype.getTilePixelRatio=function(A){return this.tilePixelRatio_},v.prototype.getTilePixelSize=function(A,B,v){var f=this.getTileGridForProjection(v),w=this.getTilePixelRatio(B),g=ww(f.getTileSize(A),this.tmpSize);return 1==w?g:fw(g,w,this.tmpSize)},v.prototype.getTileCoordForTileUrlFunction=function(A,B){var v=void 0!==B?B:this.getProjection(),f=this.getTileGridForProjection(v);return this.getWrapX()&&v.isGlobal()&&(A=function(A,B,v){var f=B[0],w=A.getTileCoordCenter(B),g=VF(v);if(BB(g,w))return B;var P=GB(g),Q=Math.ceil((g[0]-w[0])/P);return w[0]+=P*Q,A.getTileCoordForCoordAndZ(w,f)}(f,A,v)),function(A,B){var v=A[0],f=A[1],w=A[2];if(B.getMinZoom()>v||v>B.getMaxZoom())return!1;var g=B.getFullTileRange(v);return!g||g.containsXY(f,w)}(A,f)?A:null},v.prototype.clear=function(){this.tileCache.clear()},v.prototype.refresh=function(){this.clear(),A.prototype.refresh.call(this)},v.prototype.updateCacheSize=function(A,B){var v=this.getTileCacheForProjection(B);A>v.highWaterMark&&(v.highWaterMark=A)},v.prototype.useTile=function(A,B,v,f){},v}(lQ),qF=function(A){function B(B,v){var f=A.call(this,B)||this;return f.tile=v,f}return WF(B,A),B}(Q),_F=ZF;function $F(A,B){var v=/\{z\}/g,f=/\{x\}/g,w=/\{y\}/g,g=/\{-y\}/g;return function(P,Q,C){return P?A.replace(v,P[0].toString()).replace(f,P[1].toString()).replace(w,P[2].toString()).replace(g,(function(){var A=P[0],v=B.getFullTileRange(A);return fA(v,55),(v.getHeight()-P[2]-1).toString()})):void 0}}function Ai(A){return 1===A.length?A[0]:function(B,v,f){if(B){var w=jB(tE(B),A.length);return A[w](B,v,f)}}}var Bi=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),vi=function(A){function B(v){var f=A.call(this,{attributions:v.attributions,cacheSize:v.cacheSize,opaque:v.opaque,projection:v.projection,state:v.state,tileGrid:v.tileGrid,tilePixelRatio:v.tilePixelRatio,wrapX:v.wrapX,transition:v.transition,interpolate:v.interpolate,key:v.key,attributionsCollapsible:v.attributionsCollapsible,zDirection:v.zDirection})||this;return f.generateTileUrlFunction_=f.tileUrlFunction===B.prototype.tileUrlFunction,f.tileLoadFunction=v.tileLoadFunction,v.tileUrlFunction&&(f.tileUrlFunction=v.tileUrlFunction),f.urls=null,v.urls?f.setUrls(v.urls):v.url&&f.setUrl(v.url),f.tileLoadingKeys_={},f}return Bi(B,A),B.prototype.getTileLoadFunction=function(){return this.tileLoadFunction},B.prototype.getTileUrlFunction=function(){return Object.getPrototypeOf(this).tileUrlFunction===this.tileUrlFunction?this.tileUrlFunction.bind(this):this.tileUrlFunction},B.prototype.getUrls=function(){return this.urls},B.prototype.handleTileChange=function(A){var B,v=A.target,w=f(v),g=v.getState();g==vC?(this.tileLoadingKeys_[w]=!0,B=jF):w in this.tileLoadingKeys_&&(delete this.tileLoadingKeys_[w],B=g==wC?kF:g==fC?yF:void 0),null!=B&&this.dispatchEvent(new qF(B,v))},B.prototype.setTileLoadFunction=function(A){this.tileCache.clear(),this.tileLoadFunction=A,this.changed()},B.prototype.setTileUrlFunction=function(A,B){this.tileUrlFunction=A,this.tileCache.pruneExceptNewestZ(),void 0!==B?this.setKey(B):this.changed()},B.prototype.setUrl=function(A){var B=function(A){var B=[],v=/\{([a-z])-([a-z])\}/.exec(A);if(v){var f=v[1].charCodeAt(0),w=v[2].charCodeAt(0),g=void 0;for(g=f;g<=w;++g)B.push(A.replace(v[0],String.fromCharCode(g)));return B}if(v=/\{(\d+)-(\d+)\}/.exec(A)){for(var P=parseInt(v[2],10),Q=parseInt(v[1],10);Q<=P;Q++)B.push(A.replace(v[0],Q.toString()));return B}return B.push(A),B}(A);this.urls=B,this.setUrls(B)},B.prototype.setUrls=function(A){this.urls=A;var B=A.join("\n");this.generateTileUrlFunction_?this.setTileUrlFunction(function(A,B){for(var v=A.length,f=new Array(v),w=0;w<v;++w)f[w]=$F(A[w],B);return Ai(f)}(A,this.tileGrid),B):this.setKey(B)},B.prototype.tileUrlFunction=function(A,B,v){},B.prototype.useTile=function(A,B,v){var f=PE(A,B,v);this.tileCache.containsKey(f)&&this.tileCache.get(f)},B}(_F),fi=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),wi=function(A){function B(B){var v=this,f=B.projection||"EPSG:3857",w=B.extent||VF(f),g=B.tileGrid||SF({extent:w,maxResolution:B.maxResolution,maxZoom:void 0!==B.maxZoom?B.maxZoom:22,minZoom:B.minZoom,tileSize:B.tileSize||512});return(v=A.call(this,{attributions:B.attributions,attributionsCollapsible:B.attributionsCollapsible,cacheSize:B.cacheSize,opaque:!1,projection:f,state:B.state,tileGrid:g,tileLoadFunction:B.tileLoadFunction?B.tileLoadFunction:Pi,tileUrlFunction:B.tileUrlFunction,url:B.url,urls:B.urls,wrapX:void 0===B.wrapX||B.wrapX,transition:B.transition,zDirection:void 0===B.zDirection?1:B.zDirection})||this).format_=B.format?B.format:null,v.sourceTileCache=new EE(v.tileCache.highWaterMark),v.overlaps_=null==B.overlaps||B.overlaps,v.tileClass=B.tileClass?B.tileClass:IE,v.tileGrids_={},v}return fi(B,A),B.prototype.getFeaturesInExtent=function(A){var B=[],v=this.tileCache;if(0===v.getCount())return B;var f=CE(v.peekFirstKey())[0],w=this.tileGrid;return v.forEach((function(v){if(v.tileCoord[0]===f&&v.getState()===fC)for(var g=v.getSourceTiles(),P=0,Q=g.length;P<Q;++P){var C=g[P],t=C.tileCoord;if(hB(A,w.getTileCoordExtent(t))){var e=C.getFeatures();if(e)for(var D=0,E=e.length;D<E;++D){var r=e[D],n=r.getGeometry();hB(A,n.getExtent())&&B.push(r)}}}})),B},B.prototype.getOverlaps=function(){return this.overlaps_},B.prototype.clear=function(){this.tileCache.clear(),this.sourceTileCache.clear()},B.prototype.expireCache=function(B,v){var f=this.getTileCacheForProjection(B),w=Object.keys(v).reduce((function(A,B){var v,w,g=PE((w=(v=B).substring(v.lastIndexOf("/")+1,v.length).split(",").map(Number))[0],w[1],w[2]);if(f.containsKey(g))for(var P=f.get(g).sourceTiles,Q=0,C=P.length;Q<C;++Q)A[P[Q].getKey()]=!0;return A}),{});A.prototype.expireCache.call(this,B,v),this.sourceTileCache.expireCache(w)},B.prototype.getSourceTiles=function(A,B,v){var f=this;if(v.getState()===BC){v.setState(vC);var w=v.wrappedTileCoord,g=this.getTileGridForProjection(B),P=g.getTileCoordExtent(w),Q=w[0],C=g.getResolution(Q);_A(P,-C,P);var t=this.tileGrid,e=t.getExtent();e&&aB(P,e,P);var D=t.getZForResolution(C,1);t.forEachTileCoord(P,D,(function(w){var g=f.tileUrlFunction(w,A,B),P=f.sourceTileCache.containsKey(g)?f.sourceTileCache.get(g):new f.tileClass(w,g?BC:gC,g,f.format_,f.tileLoadFunction);v.sourceTiles.push(P);var Q=P.getState();if(Q<fC){var C=function(A){f.handleTileChange(A);var B=P.getState();if(B===fC||B===wC){var w=P.getKey();w in v.errorTileKeys?P.getState()===fC&&delete v.errorTileKeys[w]:v.loadingSourceTiles--,B===wC?v.errorTileKeys[w]=!0:P.removeEventListener(z,C),0===v.loadingSourceTiles&&v.setState(I(v.errorTileKeys)?fC:wC)}};P.addEventListener(z,C),v.loadingSourceTiles++}Q===BC&&(P.extent=t.getTileCoordExtent(w),P.projection=B,P.resolution=t.getResolution(w[0]),f.sourceTileCache.set(g,P),P.load())})),v.loadingSourceTiles||v.setState(v.sourceTiles.some((function(A){return A.getState()===wC}))?wC:fC)}return v.sourceTiles},B.prototype.getTile=function(A,B,v,f,w){var g,P=PE(A,B,v),Q=this.getKey();if(this.tileCache.containsKey(P)&&(g=this.tileCache.get(P)).key===Q)return g;var C=[A,B,v],t=this.getTileCoordForTileUrlFunction(C,w),e=this.getTileGrid().getExtent(),D=this.getTileGridForProjection(w);if(t&&e){var E=D.getTileCoordExtent(t);_A(E,-D.getResolution(A),E),hB(e,E)||(t=null)}var r=!0;if(null!==t){var n=this.tileGrid,o=D.getResolution(A),s=n.getZForResolution(o,1),F=D.getTileCoordExtent(t);_A(F,-o,F),n.forEachTileCoord(F,s,function(A){r=r&&!this.tileUrlFunction(A,f,w)}.bind(this))}var i=new uE(C,r?gC:BC,t,this.getSourceTiles.bind(this,f,w));return i.key=Q,g?(i.interimTile=g,i.refreshInterimChain(),this.tileCache.replace(P,i)):this.tileCache.set(P,i),i},B.prototype.getTileGridForProjection=function(A){var B=A.getCode(),v=this.tileGrids_[B];if(!v){var f=this.tileGrid;v=mF(A,void 0,f?f.getTileSize(f.getMinZoom()):void 0),this.tileGrids_[B]=v}return v},B.prototype.getTilePixelRatio=function(A){return A},B.prototype.getTilePixelSize=function(A,B,v){var f=ww(this.getTileGridForProjection(v).getTileSize(A),this.tmpSize);return[Math.round(f[0]*B),Math.round(f[1]*B)]},B.prototype.updateCacheSize=function(B,v){A.prototype.updateCacheSize.call(this,2*B,v),this.sourceTileCache.highWaterMark=this.getTileCacheForProjection(v).highWaterMark},B}(vi),gi=wi;function Pi(A,B){A.setLoader((function(v,f,w){ZQ(B,A.getFormat(),v,f,w,A.onLoad.bind(A),A.onError.bind(A))}))}var Qi,Ci=function(){function A(A,B,v,f,w,g){this.sourceProj_=A,this.targetProj_=B;var P={},Q=xv(this.targetProj_,this.sourceProj_);this.transformInv_=function(A){var B=A[0]+"/"+A[1];return P[B]||(P[B]=Q(A)),P[B]},this.maxSourceExtent_=f,this.errorThresholdSquared_=w*w,this.triangles_=[],this.wrapsXInSource_=!1,this.canWrapXInSource_=this.sourceProj_.canWrapX()&&!!f&&!!this.sourceProj_.getExtent()&&GB(f)==GB(this.sourceProj_.getExtent()),this.sourceWorldWidth_=this.sourceProj_.getExtent()?GB(this.sourceProj_.getExtent()):null,this.targetWorldWidth_=this.targetProj_.getExtent()?GB(this.targetProj_.getExtent()):null;var C=LB(v),t=zB(v),e=iB(v),D=FB(v),E=this.transformInv_(C),r=this.transformInv_(t),n=this.transformInv_(e),o=this.transformInv_(D),s=10+(g?Math.max(0,Math.ceil(RB(sB(v)/(g*g*256*256)))):0);if(this.addQuad_(C,t,e,D,E,r,n,o,s),this.wrapsXInSource_){var F=1/0;this.triangles_.forEach((function(A,B,v){F=Math.min(F,A.source[0][0],A.source[1][0],A.source[2][0])})),this.triangles_.forEach(function(A){if(Math.max(A.source[0][0],A.source[1][0],A.source[2][0])-F>this.sourceWorldWidth_/2){var B=[[A.source[0][0],A.source[0][1]],[A.source[1][0],A.source[1][1]],[A.source[2][0],A.source[2][1]]];B[0][0]-F>this.sourceWorldWidth_/2&&(B[0][0]-=this.sourceWorldWidth_),B[1][0]-F>this.sourceWorldWidth_/2&&(B[1][0]-=this.sourceWorldWidth_),B[2][0]-F>this.sourceWorldWidth_/2&&(B[2][0]-=this.sourceWorldWidth_);var v=Math.min(B[0][0],B[1][0],B[2][0]);Math.max(B[0][0],B[1][0],B[2][0])-v<this.sourceWorldWidth_/2&&(A.source=B)}}.bind(this))}P={}}return A.prototype.addTriangle_=function(A,B,v,f,w,g){this.triangles_.push({source:[f,w,g],target:[A,B,v]})},A.prototype.addQuad_=function(A,B,v,f,w,g,P,Q,C){var t=qA([w,g,P,Q]),e=this.sourceWorldWidth_?GB(t)/this.sourceWorldWidth_:null,D=this.sourceWorldWidth_,E=this.sourceProj_.canWrapX()&&e>.5&&e<1,r=!1;if(C>0){if(this.targetProj_.isGlobal()&&this.targetWorldWidth_)r=GB(qA([A,B,v,f]))/this.targetWorldWidth_>.25||r;!E&&this.sourceProj_.isGlobal()&&e&&(r=e>.25||r)}if(!(!r&&this.maxSourceExtent_&&isFinite(t[0])&&isFinite(t[1])&&isFinite(t[2])&&isFinite(t[3]))||hB(t,this.maxSourceExtent_)){var n=0;if(!(r||isFinite(w[0])&&isFinite(w[1])&&isFinite(g[0])&&isFinite(g[1])&&isFinite(P[0])&&isFinite(P[1])&&isFinite(Q[0])&&isFinite(Q[1])))if(C>0)r=!0;else if(1!=(n=(isFinite(w[0])&&isFinite(w[1])?0:8)+(isFinite(g[0])&&isFinite(g[1])?0:4)+(isFinite(P[0])&&isFinite(P[1])?0:2)+(isFinite(Q[0])&&isFinite(Q[1])?0:1))&&2!=n&&4!=n&&8!=n)return;if(C>0){if(!r){var o=[(A[0]+v[0])/2,(A[1]+v[1])/2],s=this.transformInv_(o),F=void 0;if(E)F=(jB(w[0],D)+jB(P[0],D))/2-jB(s[0],D);else F=(w[0]+P[0])/2-s[0];var i=(w[1]+P[1])/2-s[1];r=F*F+i*i>this.errorThresholdSquared_}if(r){if(Math.abs(A[0]-v[0])<=Math.abs(A[1]-v[1])){var u=[(B[0]+v[0])/2,(B[1]+v[1])/2],H=this.transformInv_(u),c=[(f[0]+A[0])/2,(f[1]+A[1])/2],I=this.transformInv_(c);this.addQuad_(A,B,u,c,w,g,H,I,C-1),this.addQuad_(c,u,v,f,I,H,P,Q,C-1)}else{var a=[(A[0]+B[0])/2,(A[1]+B[1])/2],L=this.transformInv_(a),z=[(v[0]+f[0])/2,(v[1]+f[1])/2],G=this.transformInv_(z);this.addQuad_(A,a,z,f,w,L,G,Q,C-1),this.addQuad_(a,B,v,z,L,g,P,G,C-1)}return}}if(E){if(!this.canWrapXInSource_)return;this.wrapsXInSource_=!0}0==(11&n)&&this.addTriangle_(A,v,f,w,P,Q),0==(14&n)&&this.addTriangle_(A,v,B,w,P,g),n&&(0==(13&n)&&this.addTriangle_(B,f,A,g,Q,w),0==(7&n)&&this.addTriangle_(B,f,v,g,Q,P))}},A.prototype.calculateSourceExtent=function(){var A=[1/0,1/0,-1/0,-1/0];return this.triangles_.forEach((function(B,v,f){var w=B.source;EB(A,w[0]),EB(A,w[1]),EB(A,w[2])})),A},A.prototype.getTriangles=function(){return this.triangles_},A}();function ti(A,B,v,f,w){A.beginPath(),A.moveTo(0,0),A.lineTo(B,v),A.lineTo(f,w),A.closePath(),A.save(),A.clip(),A.fillRect(0,0,Math.max(B,f)+1,Math.max(v,w)),A.restore()}function ei(A,B){return Math.abs(A[4*B]-210)>2||Math.abs(A[4*B+3]-191.25)>2}function Di(A,B,v,f){var w=Uv(v,B,A),g=zv(B,f,v),P=B.getMetersPerUnit();void 0!==P&&(g*=P);var Q=A.getMetersPerUnit();void 0!==Q&&(g/=Q);var C=A.getExtent();if(!C||BB(C,w)){var t=zv(A,g,w)/g;isFinite(t)&&t>0&&(g/=t)}return g}function Ei(A,B,v,f,w,g,P,Q,C,t,e,D){var E=sw(Math.round(v*A),Math.round(v*B));if(D||u(E,FF),0===C.length)return E.canvas;function r(A){return Math.round(A*v)/v}E.scale(v,v),E.globalCompositeOperation="lighter";var n=[1/0,1/0,-1/0,-1/0];C.forEach((function(A,B,v){DB(n,A.extent)}));var o=GB(n),s=IB(n),F=sw(Math.round(v*o/f),Math.round(v*s/f));D||u(F,FF);var i=v/f;C.forEach((function(A,B,v){var f=A.extent[0]-n[0],w=-(A.extent[3]-n[3]),g=GB(A.extent),P=IB(A.extent);A.image.width>0&&A.image.height>0&&F.drawImage(A.image,t,t,A.image.width-2*t,A.image.height-2*t,f*i,w*i,g*i,P*i)}));var H=LB(P);return Q.getTriangles().forEach((function(A,B,w){var P=A.source,Q=A.target,C=P[0][0],t=P[0][1],e=P[1][0],o=P[1][1],s=P[2][0],i=P[2][1],u=r((Q[0][0]-H[0])/g),c=r(-(Q[0][1]-H[1])/g),I=r((Q[1][0]-H[0])/g),a=r(-(Q[1][1]-H[1])/g),L=r((Q[2][0]-H[0])/g),z=r(-(Q[2][1]-H[1])/g),G=C,h=t;C=0,t=0;var M=function(A){for(var B=A.length,v=0;v<B;v++){for(var f=v,w=Math.abs(A[v][v]),g=v+1;g<B;g++){var P=Math.abs(A[g][v]);P>w&&(w=P,f=g)}if(0===w)return null;var Q=A[f];A[f]=A[v],A[v]=Q;for(var C=v+1;C<B;C++)for(var t=-A[C][v]/A[v][v],e=v;e<B+1;e++)v==e?A[C][e]=0:A[C][e]+=t*A[v][e]}for(var D=new Array(B),E=B-1;E>=0;E--){D[E]=A[E][B]/A[E][E];for(var r=E-1;r>=0;r--)A[r][B]-=A[r][E]*D[E]}return D}([[e-=G,o-=h,0,0,I-u],[s-=G,i-=h,0,0,L-u],[0,0,e,o,a-c],[0,0,s,i,z-c]]);if(M){if(E.save(),E.beginPath(),function(){if(void 0===Qi){var A=document.createElement("canvas").getContext("2d");A.globalCompositeOperation="lighter",A.fillStyle="rgba(210, 0, 0, 0.75)",ti(A,4,5,4,0),ti(A,4,5,0,5);var B=A.getImageData(0,0,3,3).data;Qi=ei(B,0)||ei(B,4)||ei(B,8)}return Qi}()||!D){E.moveTo(I,a);for(var T=u-I,x=c-a,U=0;U<4;U++)E.lineTo(I+r((U+1)*T/4),a+r(U*x/3)),3!=U&&E.lineTo(I+r((U+1)*T/4),a+r((U+1)*x/3));E.lineTo(L,z)}else E.moveTo(I,a),E.lineTo(u,c),E.lineTo(L,z);E.clip(),E.transform(M[0],M[2],M[1],M[3],u,c),E.translate(n[0]-G,n[3]-h),E.scale(f/v,-f/v),E.drawImage(F.canvas,0,0),E.restore()}})),e&&(E.save(),E.globalCompositeOperation="source-over",E.strokeStyle="black",E.lineWidth=1,Q.getTriangles().forEach((function(A,B,v){var f=A.target,w=(f[0][0]-H[0])/g,P=-(f[0][1]-H[1])/g,Q=(f[1][0]-H[0])/g,C=-(f[1][1]-H[1])/g,t=(f[2][0]-H[0])/g,e=-(f[2][1]-H[1])/g;E.beginPath(),E.moveTo(Q,C),E.lineTo(w,P),E.lineTo(t,e),E.closePath(),E.stroke()})),E.restore()),E.canvas}var ri=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),ni=function(A){function B(B,v,f,w,g,P,Q,C,t,e,D,E){var r=A.call(this,g,BC,{interpolate:!!E})||this;r.renderEdges_=void 0!==D&&D,r.pixelRatio_=Q,r.gutter_=C,r.canvas_=null,r.sourceTileGrid_=v,r.targetTileGrid_=w,r.wrappedTileCoord_=P||g,r.sourceTiles_=[],r.sourcesListenerKeys_=null,r.sourceZ_=0;var n=w.getTileCoordExtent(r.wrappedTileCoord_),o=r.targetTileGrid_.getExtent(),s=r.sourceTileGrid_.getExtent(),F=o?aB(n,o):n;if(0===sB(F))return r.state=gC,r;var i=B.getExtent();i&&(s=s?aB(s,i):i);var u=w.getResolution(r.wrappedTileCoord_[0]),H=function(A,B,v,f){var w=uB(v),g=Di(A,B,w,f);return(!isFinite(g)||g<=0)&&oB(v,(function(v){return g=Di(A,B,v,f),isFinite(g)&&g>0})),g}(B,f,F,u);if(!isFinite(H)||H<=0)return r.state=gC,r;var c=void 0!==e?e:.5;if(r.triangulation_=new Ci(B,f,F,s,H*c,u),0===r.triangulation_.getTriangles().length)return r.state=gC,r;r.sourceZ_=v.getZForResolution(H);var I=r.triangulation_.calculateSourceExtent();if(s&&(B.canWrapX()?(I[1]=UB(I[1],s[1],s[3]),I[3]=UB(I[3],s[1],s[3])):I=aB(I,s)),sB(I)){for(var a=v.getTileRangeForExtentAndZ(I,r.sourceZ_),L=a.minX;L<=a.maxX;L++)for(var z=a.minY;z<=a.maxY;z++){var G=t(r.sourceZ_,L,z,Q);G&&r.sourceTiles_.push(G)}0===r.sourceTiles_.length&&(r.state=gC)}else r.state=gC;return r}return ri(B,A),B.prototype.getImage=function(){return this.canvas_},B.prototype.reproject_=function(){var A=[];if(this.sourceTiles_.forEach(function(B,v,f){B&&B.getState()==fC&&A.push({extent:this.sourceTileGrid_.getTileCoordExtent(B.tileCoord),image:B.getImage()})}.bind(this)),this.sourceTiles_.length=0,0===A.length)this.state=wC;else{var B=this.wrappedTileCoord_[0],v=this.targetTileGrid_.getTileSize(B),f="number"==typeof v?v:v[0],w="number"==typeof v?v:v[1],g=this.targetTileGrid_.getResolution(B),P=this.sourceTileGrid_.getResolution(this.sourceZ_),Q=this.targetTileGrid_.getTileCoordExtent(this.wrappedTileCoord_);this.canvas_=Ei(f,w,this.pixelRatio_,P,this.sourceTileGrid_.getExtent(),g,Q,this.triangulation_,A,this.gutter_,this.renderEdges_,this.interpolate),this.state=fC}this.changed()},B.prototype.load=function(){if(this.state==BC){this.state=vC,this.changed();var A=0;this.sourcesListenerKeys_=[],this.sourceTiles_.forEach(function(B,v,f){var w=B.getState();if(w==BC||w==vC){A++;var g=y(B,z,(function(v){var f=B.getState();f!=fC&&f!=wC&&f!=gC||(p(g),0===--A&&(this.unlistenSources_(),this.reproject_()))}),this);this.sourcesListenerKeys_.push(g)}}.bind(this)),0===A?setTimeout(this.reproject_.bind(this),0):this.sourceTiles_.forEach((function(A,B,v){A.getState()==BC&&A.load()}))}},B.prototype.unlistenSources_=function(){this.sourcesListenerKeys_.forEach(p),this.sourcesListenerKeys_=null},B}(EC),oi=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),si=function(A){function B(B){var v=this,f=void 0===B.imageSmoothing||B.imageSmoothing;return void 0!==B.interpolate&&(f=B.interpolate),(v=A.call(this,{attributions:B.attributions,cacheSize:B.cacheSize,opaque:B.opaque,projection:B.projection,state:B.state,tileGrid:B.tileGrid,tileLoadFunction:B.tileLoadFunction?B.tileLoadFunction:Fi,tilePixelRatio:B.tilePixelRatio,tileUrlFunction:B.tileUrlFunction,url:B.url,urls:B.urls,wrapX:B.wrapX,transition:B.transition,interpolate:f,key:B.key,attributionsCollapsible:B.attributionsCollapsible,zDirection:B.zDirection})||this).crossOrigin=void 0!==B.crossOrigin?B.crossOrigin:null,v.tileClass=void 0!==B.tileClass?B.tileClass:nC,v.tileCacheForProjection={},v.tileGridForProjection={},v.reprojectionErrorThreshold_=B.reprojectionErrorThreshold,v.renderReprojectionEdges_=!1,v}return oi(B,A),B.prototype.canExpireCache=function(){if(this.tileCache.canExpireCache())return!0;for(var A in this.tileCacheForProjection)if(this.tileCacheForProjection[A].canExpireCache())return!0;return!1},B.prototype.expireCache=function(A,B){var v=this.getTileCacheForProjection(A);for(var f in this.tileCache.expireCache(this.tileCache==v?B:{}),this.tileCacheForProjection){var w=this.tileCacheForProjection[f];w.expireCache(w==v?B:{})}},B.prototype.getGutterForProjection=function(A){return this.getProjection()&&A&&!Mv(this.getProjection(),A)?0:this.getGutter()},B.prototype.getGutter=function(){return 0},B.prototype.getKey=function(){var B=A.prototype.getKey.call(this);return this.getInterpolate()||(B+=":disable-interpolation"),B},B.prototype.getOpaque=function(B){return!(this.getProjection()&&B&&!Mv(this.getProjection(),B))&&A.prototype.getOpaque.call(this,B)},B.prototype.getTileGridForProjection=function(A){var B=this.getProjection();if(!this.tileGrid||B&&!Mv(B,A)){var v=f(A);return v in this.tileGridForProjection||(this.tileGridForProjection[v]=KF(A)),this.tileGridForProjection[v]}return this.tileGrid},B.prototype.getTileCacheForProjection=function(A){var B=this.getProjection();if(!B||Mv(B,A))return this.tileCache;var v=f(A);return v in this.tileCacheForProjection||(this.tileCacheForProjection[v]=new EE(this.tileCache.highWaterMark)),this.tileCacheForProjection[v]},B.prototype.createTile_=function(A,B,v,f,w,g){var P=[A,B,v],Q=this.getTileCoordForTileUrlFunction(P,w),C=Q?this.tileUrlFunction(Q,f,w):void 0,t=new this.tileClass(P,void 0!==C?BC:gC,void 0!==C?C:"",this.crossOrigin,this.tileLoadFunction,this.tileOptions);return t.key=g,t.addEventListener(z,this.handleTileChange.bind(this)),t},B.prototype.getTile=function(A,B,v,f,w){var g=this.getProjection();if(g&&w&&!Mv(g,w)){var P=this.getTileCacheForProjection(w),Q=[A,B,v],C=void 0,t=QE(Q);P.containsKey(t)&&(C=P.get(t));var e=this.getKey();if(C&&C.key==e)return C;var D=this.getTileGridForProjection(g),E=this.getTileGridForProjection(w),r=this.getTileCoordForTileUrlFunction(Q,w),n=new ni(g,D,w,E,Q,r,this.getTilePixelRatio(f),this.getGutter(),function(A,B,v,f){return this.getTileInternal(A,B,v,f,g)}.bind(this),this.reprojectionErrorThreshold_,this.renderReprojectionEdges_,this.getInterpolate());return n.key=e,C?(n.interimTile=C,n.refreshInterimChain(),P.replace(t,n)):P.set(t,n),n}return this.getTileInternal(A,B,v,f,g||w)},B.prototype.getTileInternal=function(A,B,v,f,w){var g=null,P=PE(A,B,v),Q=this.getKey();if(this.tileCache.containsKey(P)){if((g=this.tileCache.get(P)).key!=Q){var C=g;g=this.createTile_(A,B,v,f,w,Q),C.getState()==BC?g.interimTile=C.interimTile:g.interimTile=C,g.refreshInterimChain(),this.tileCache.replace(P,g)}}else g=this.createTile_(A,B,v,f,w,Q),this.tileCache.set(P,g);return g},B.prototype.setRenderReprojectionEdges=function(A){if(this.renderReprojectionEdges_!=A){for(var B in this.renderReprojectionEdges_=A,this.tileCacheForProjection)this.tileCacheForProjection[B].clear();this.changed()}},B.prototype.setTileGridForProjection=function(A,B){var v=Lv(A);if(v){var w=f(v);w in this.tileGridForProjection||(this.tileGridForProjection[w]=B)}},B}(vi);function Fi(A,B){A.getImage().src=B}var ii=si,ui=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}();!function(A){function B(B){var v=this,f="Unexpected response status: "+B.status;return(v=A.call(this,f)||this).name="ResponseError",v.response=B,v}ui(B,A)}(Error),function(A){function B(B){var v=A.call(this,"Failed to issue request")||this;return v.name="ClientError",v.client=B,v}ui(B,A)}(Error);var Hi=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),ci=function(A){function B(B){var v=this,f=B||{},w=u({},f);return delete w.preload,delete w.useInterimTilesOnError,(v=A.call(this,w)||this).on,v.once,v.un,v.setPreload(void 0!==f.preload?f.preload:0),v.setUseInterimTilesOnError(void 0===f.useInterimTilesOnError||f.useInterimTilesOnError),v}return Hi(B,A),B.prototype.getPreload=function(){return this.get(bF)},B.prototype.setPreload=function(A){this.set(bF,A)},B.prototype.getUseInterimTilesOnError=function(){return this.get(YF)},B.prototype.setUseInterimTilesOnError=function(A){this.set(YF,A)},B}(Mg),Ii=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),ai=function(A){function B(B){return A.call(this,B)||this}return Ii(B,A),B.prototype.createRenderer=function(){return new zF(this)},B}(ci),Li=function(){function A(A,B){this.name=A,this.data=B,this.texture_=null}return A.prototype.getTexture=function(A){if(!this.texture_){var B=A.createTexture();A.bindTexture(A.TEXTURE_2D,B),A.texParameteri(A.TEXTURE_2D,A.TEXTURE_WRAP_S,A.CLAMP_TO_EDGE),A.texParameteri(A.TEXTURE_2D,A.TEXTURE_WRAP_T,A.CLAMP_TO_EDGE),A.texParameteri(A.TEXTURE_2D,A.TEXTURE_MIN_FILTER,A.NEAREST),A.texParameteri(A.TEXTURE_2D,A.TEXTURE_MAG_FILTER,A.NEAREST),A.texImage2D(A.TEXTURE_2D,0,A.RGBA,this.data.length/4,1,0,A.RGBA,A.UNSIGNED_BYTE,this.data),this.texture_=B}return this.texture_},A}(),zi=Li,Gi=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}();function hi(A,B,v){var f=v?A.LINEAR:A.NEAREST;A.bindTexture(A.TEXTURE_2D,B),A.texParameteri(A.TEXTURE_2D,A.TEXTURE_WRAP_S,A.CLAMP_TO_EDGE),A.texParameteri(A.TEXTURE_2D,A.TEXTURE_WRAP_T,A.CLAMP_TO_EDGE),A.texParameteri(A.TEXTURE_2D,A.TEXTURE_MIN_FILTER,f),A.texParameteri(A.TEXTURE_2D,A.TEXTURE_MAG_FILTER,f)}function Mi(A,B,v,f,w,g){var P=A.getGL();hi(P,B,g);var Q,C,t=v.byteLength/f[1],e=1;switch(t%8==0?e=8:t%4==0?e=4:t%2==0&&(e=2),w){case 1:Q=P.LUMINANCE;break;case 2:Q=P.LUMINANCE_ALPHA;break;case 3:Q=P.RGB;break;case 4:Q=P.RGBA;break;default:throw new Error("Unsupported number of bands: "+w)}v instanceof Float32Array?(C=P.FLOAT,A.getExtension("OES_texture_float"),A.getExtension("OES_texture_float_linear")):C=P.UNSIGNED_BYTE;var D=P.getParameter(P.UNPACK_ALIGNMENT);P.pixelStorei(P.UNPACK_ALIGNMENT,e),P.texImage2D(P.TEXTURE_2D,0,Q,f[0],f[1],0,Q,C,v),P.pixelStorei(P.UNPACK_ALIGNMENT,D)}var Ti=function(A){function B(B,v,f){var w=A.call(this)||this;w.tile,w.textures=[],w.handleTileChange_=w.handleTileChange_.bind(w),w.size=ww(v.getTileSize(B.tileCoord[0])),w.bandCount=NaN,w.helper_=f;var g=new Ys(Gs,Ms);return g.fromArray([0,1,1,1,1,0,0,0]),f.flushBufferData(g),w.coords=g,w.setTile(B),w}return Gi(B,A),B.prototype.setTile=function(A){A!==this.tile&&(this.tile&&this.tile.removeEventListener(z,this.handleTileChange_),this.tile=A,this.textures.length=0,this.loaded=A.getState()===fC,this.loaded?this.uploadTile_():A.addEventListener(z,this.handleTileChange_))},B.prototype.uploadTile_=function(){var A=this.helper_,B=A.getGL(),v=this.tile;if(v instanceof nC||v instanceof ni){var f=B.createTexture();return this.textures.push(f),this.bandCount=4,void function(A,B,v,f){hi(A,B,f),A.texImage2D(A.TEXTURE_2D,0,A.RGBA,A.RGBA,A.UNSIGNED_BYTE,v)}(B,f,v.getImage(),v.interpolate)}var w=v.getData(),g=w instanceof Float32Array,P=this.size[0]*this.size[1],Q=g?Float32Array:Uint8Array,C=Q.BYTES_PER_ELEMENT,t=w.byteLength/this.size[1];this.bandCount=Math.floor(t/C/this.size[0]);var e=Math.ceil(this.bandCount/4);if(1===e){f=B.createTexture();return this.textures.push(f),void Mi(A,f,w,this.size,this.bandCount,v.interpolate)}for(var D=new Array(e),E=0;E<e;++E){f=B.createTexture();this.textures.push(f);var r=E<e-1?4:this.bandCount%4;D[E]=new Q(P*r)}for(var n=0,o=0,s=this.size[0]*this.bandCount,F=0;F<this.size[1];++F){for(var i=0;i<s;++i){var u=w[o+i],H=Math.floor(n/this.bandCount),c=i%this.bandCount;(I=D[E=Math.floor(c/4)])[H*(r=I.length/P)+c%4]=u,++n}o+=t/C}for(E=0;E<e;++E){var I;f=this.textures[E],r=(I=D[E]).length/P;Mi(A,f,I,this.size,r,v.interpolate)}},B.prototype.handleTileChange_=function(){this.tile.getState()===fC&&(this.loaded=!0,this.uploadTile_(),this.dispatchEvent(z))},B.prototype.disposeInternal=function(){var A=this.helper_.getGL();this.helper_.deleteBuffer(this.coords);for(var B=0;B<this.textures.length;++B)A.deleteTexture(this.textures[B]);this.tile.removeEventListener(z,this.handleTileChange_)},B}(L),xi=Ti,Ui=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}(),Xi="u_tileTextures",Ri="u_tileTransform",bi="u_transitionAlpha",Yi="u_depth",Oi="u_texturePixelWidth",li="u_texturePixelHeight",ji="u_resolution",yi="u_zoom",ki=[{name:"a_textureCoord",size:2,type:Vs.FLOAT}],pi={};function di(A){return 2*(1-1/(A+1))-1}function Ji(A,B,v){v in A||(A[v]=[]),A[v].push(B)}function Ki(A,B){var v=A.layerStatesArray[A.layerIndex];v.extent&&(B=aB(B,jv(v.extent,A.viewState.projection)));var f=v.layer.getSource();if(!f.getWrapX()){var w=f.tileGrid.getExtent();w&&(B=aB(B,w))}return B}var Si=function(A){function B(B,v){var f=A.call(this,B,{uniforms:v.uniforms})||this;f.tileTransform_=[1,0,0,1,0,0],f.tempMat4_=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],f.tempTileRange_=new oE(0,0,0,0),f.tempTileCoord_=gE(0,0,0),f.tempSize_=[0,0],f.program_,f.vertexShader_=v.vertexShader,f.fragmentShader_=v.fragmentShader,f.indices_=new Ys(hs,Ms),f.indices_.fromArray([0,1,3,1,2,3]);var w=void 0!==v.cacheSize?v.cacheSize:512;return f.tileTextureCache_=new wE(w),f.paletteTextures_=v.paletteTextures||[],f}return Ui(B,A),B.prototype.reset=function(B){A.prototype.reset.call(this,{uniforms:B.uniforms}),this.vertexShader_=B.vertexShader,this.fragmentShader_=B.fragmentShader,this.paletteTextures_=B.paletteTextures||[],this.helper&&(this.program_=this.helper.getProgram(this.fragmentShader_,this.vertexShader_))},B.prototype.afterHelperCreated=function(){this.program_=this.helper.getProgram(this.fragmentShader_,this.vertexShader_),this.helper.flushBufferData(this.indices_)},B.prototype.isDrawableTile_=function(A){var B=this.getLayer(),v=A.getState(),f=B.getUseInterimTilesOnError();return v==fC||v==gC||v==wC&&!f},B.prototype.prepareFrameInternal=function(A){var B=this.getLayer().getSource();return!!B&&(!MB(Ki(A,A.extent))&&B.getState()===ag)},B.prototype.enqueueTiles=function(A,B,v,w){var g=A.viewState,P=this.getLayer().getSource(),Q=P.getTileGridForProjection(g.projection),C=this.tileTextureCache_,t=Q.getTileRangeForExtentAndZ(B,v,this.tempTileRange_),e=f(P);e in A.wantedTiles||(A.wantedTiles[e]={});for(var D=A.wantedTiles[e],E=Q.getResolution(v),r=t.minX;r<=t.maxX;++r)for(var n=t.minY;n<=t.maxY;++n){var o=gE(v,r,n,this.tempTileCoord_),s=QE(o),F=void 0,i=void 0;if(C.containsKey(s)&&(i=(F=C.get(s)).tile),!F||F.tile.key!==P.getKey())if(i=P.getTile(v,r,n,A.pixelRatio,g.projection),F)if(this.isDrawableTile_(i))F.setTile(i);else{var u=i.getInterimTile();F.setTile(u)}else F=new xi(i,Q,this.helper),C.set(s,F);Ji(w,F,v);var H=i.getKey();D[H]=!0,i.getState()===BC&&(A.tileQueue.isKeyQueued(H)||A.tileQueue.enqueue([i,e,Q.getTileCoordCenter(o),E]))}},B.prototype.renderFrame=function(A){var B=this.helper.getGL();this.preRender(B,A);var v=A.viewState,w=this.getLayer().getSource(),g=w.getTileGridForProjection(v.projection),P=Ki(A,A.extent),Q=g.getZForResolution(v.resolution,w.zDirection),C={};if(A.nextExtent){var t=g.getZForResolution(v.nextResolution,w.zDirection),D=Ki(A,A.nextExtent);this.enqueueTiles(A,D,t,C)}this.enqueueTiles(A,P,Q,C);for(var E={},r=f(this),n=A.time,o=!1,s=C[Q],F=0,i=s.length;F<i;++F){var u=(O=(W=s[F]).tile).tileCoord;if(W.loaded){if(1===(l=O.getAlpha(r,n))){O.endTransition(r);continue}o=!0,E[j=QE(u)]=l}if(!this.findAltTiles_(g,u,Q+1,C))for(var H=g.getMinZoom(),c=Q-1;c>=H;--c){if(this.findAltTiles_(g,u,c,C))break}}this.helper.useProgram(this.program_),this.helper.prepareDraw(A,!o);for(var I=Object.keys(C).map(Number).sort(e),a=v.center[0],L=v.center[1],z=0,G=I.length;z<G;++z){var h=I[z],M=g.getResolution(h),T=ww(g.getTileSize(h),this.tempSize_),x=g.getOrigin(h),U=(a-x[0])/(T[0]*M),X=(x[1]-L)/(T[1]*M),R=v.resolution/M,b=di(h),Y=C[h];for(F=0,i=Y.length;F<i;++F){if((W=Y[F]).loaded){var O,l,j=QE(u=(O=W.tile).tileCoord),y=u[1],k=u[2];jA(this.tileTransform_,0,0,2/(A.size[0]*R/T[0]),-2/(A.size[1]*R/T[1]),v.rotation,-(U-y),-(X-k)),this.helper.setUniformMatrixValue(Ri,ks(this.tempMat4_,this.tileTransform_)),this.helper.bindBuffer(W.coords),this.helper.bindBuffer(this.indices_),this.helper.enableAttributes(ki);for(var p=0;p<W.textures.length;){var d="TEXTURE"+p,J=Xi+"["+p+"]";B.activeTexture(B[d]),B.bindTexture(B.TEXTURE_2D,W.textures[p]),B.uniform1i(this.helper.getUniformLocation(J),p),++p}for(var K=0;K<this.paletteTextures_.length;++K){var S=this.paletteTextures_[K];B.activeTexture(B["TEXTURE"+p]);var N=S.getTexture(B);B.bindTexture(B.TEXTURE_2D,N),B.uniform1i(this.helper.getUniformLocation(S.name),p),++p}(l=j in E?E[j]:1)<1&&(A.animate=!0),this.helper.setUniformFloatValue(bi,l),this.helper.setUniformFloatValue(Yi,b),this.helper.setUniformFloatValue(Oi,T[0]),this.helper.setUniformFloatValue(li,T[1]),this.helper.setUniformFloatValue(ji,v.resolution),this.helper.setUniformFloatValue(yi,v.zoom),this.helper.drawElements(0,this.indices_.getSize())}}}this.helper.finalizeDraw(A,this.dispatchPreComposeEvent,this.dispatchPostComposeEvent);for(var m=this.helper.getCanvas(),V=this.tileTextureCache_;V.canExpireCache();){var W;(W=V.pop()).dispose()}return A.postRenderFunctions.push((function(A,B){w.expireCache(B.viewState.projection,pi)})),this.postRender(B,A),m},B.prototype.findAltTiles_=function(A,B,v,f){var w=A.getTileRangeForTileCoordAndZ(B,v,this.tempTileRange_);if(!w)return!1;for(var g=!0,P=this.tileTextureCache_,Q=w.minX;Q<=w.maxX;++Q)for(var C=w.minY;C<=w.maxY;++C){var t=PE(v,Q,C),e=!1;if(P.containsKey(t)){var D=P.get(t);D.loaded&&(Ji(f,D,v),e=!0)}e||(g=!1)}return g},B.prototype.disposeInternal=function(){var B=this.helper,v=B.getGL();B.deleteBuffer(this.indices_),delete this.indices_,v.deleteProgram(this.program_),delete this.program_;var f=this.tileTextureCache_;f.forEach((function(A){A.dispose()})),f.clear(),delete this.tileTextureCache_,A.prototype.disposeInternal.call(this)},B}(fF);Si.prototype.getLayer;var Ni=1,mi=2,Vi=4,Wi=8,Zi=16,qi=31,_i=0,$i={};function Au(A){if("number"==typeof A)return Ni;if("boolean"==typeof A)return Wi;if("string"==typeof A)return B=A,Cw.test(B)&&(B=ew(B)),Qw.test(B)||0===B.indexOf("rgba(")||0===B.indexOf("rgb(")?Vi|mi:mi;var B;if(!Array.isArray(A))throw new Error("Unhandled value type: "+JSON.stringify(A));var v=A;if(v.every((function(A){return"number"==typeof A})))return 3===v.length||4===v.length?Vi|Zi:Zi;if("string"!=typeof v[0])throw new Error("Expected an expression operator but received: "+JSON.stringify(v));var f=$i[v[0]];if(void 0===f)throw new Error("Unrecognized expression operator: 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c=wu(r,A.filter,Wi);H.setFragmentDiscardExpression("!"+c)}var I={};if(r.variables.forEach((function(B){var v=nu(B);H.addUniform("float "+v),I[v]=function(){if(!A.variables||void 0===A.variables[B])throw new Error("The following variable is missing from the style: "+B);var v=A.variables[B];return"string"==typeof v&&(v=fu(C,v)),void 0!==v?v:-9999999}})),"image"===B.symbolType&&B.src){var a=new Image;a.src=B.src,H.addUniform("sampler2D u_texture").setColorExpression(H.getColorExpression()+" * texture2D(u_texture, v_texCoord)"),I.u_texture=a}return r.attributes.forEach((function(A){-1===C.attributes.indexOf(A)&&C.attributes.push(A),H.addVarying("v_"+A,"float","a_"+A)})),C.attributes.forEach((function(A){H.addAttribute("float a_"+A)})),{builder:H,attributes:C.attributes.map((function(A){return{name:A,callback:function(B,v){var f=v[A];return"string"==typeof f&&(f=fu(C,f)),void 0!==f?f:-9999999}}})),uniforms:I}}(B.style),v.hitDetectionDisabled_=!!B.disableHitDetection,v}return uu(B,A),B.prototype.createRenderer=function(){return new CF(this,{vertexShader:this.parseResult_.builder.getSymbolVertexShader(),fragmentShader:this.parseResult_.builder.getSymbolFragmentShader(),hitVertexShader:!this.hitDetectionDisabled_&&this.parseResult_.builder.getSymbolVertexShader(!0),hitFragmentShader:!this.hitDetectionDisabled_&&this.parseResult_.builder.getSymbolFragmentShader(!0),uniforms:this.parseResult_.uniforms,attributes:this.parseResult_.attributes})},B}(Mg),cu=Hu,Iu=function(){var A=function(B,v){return A=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(A,B){A.__proto__=B}||function(A,B){for(var v in B)Object.prototype.hasOwnProperty.call(B,v)&&(A[v]=B[v])},A(B,v)};return function(B,v){if("function"!=typeof v&&null!==v)throw new TypeError("Class extends value "+String(v)+" is not a constructor or null");function f(){this.constructor=B}A(B,v),B.prototype=null===v?Object.create(v):(f.prototype=v.prototype,new f)}}();var au=function(A){function B(B){var 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_n(this.flatCoordinates.slice(0===t?0:this.ends_[t-1],this.ends_[t]),this.layout)},e.prototype.getLinearRings=function(){for(var t=this.layout,e=this.flatCoordinates,r=this.ends_,n=[],i=0,o=0,a=r.length;o<a;++o){var s=r[o],l=new _n(e.slice(i,s),t);n.push(l),i=s}return n},e.prototype.getOrientedFlatCoordinates=function(){if(this.orientedRevision_!=this.getRevision()){var t=this.flatCoordinates;Fn(t,0,this.ends_,this.stride)?this.orientedFlatCoordinates_=t:(this.orientedFlatCoordinates_=t.slice(),this.orientedFlatCoordinates_.length=In(this.orientedFlatCoordinates_,0,this.ends_,this.stride)),this.orientedRevision_=this.getRevision()}return this.orientedFlatCoordinates_},e.prototype.getSimplifiedGeometryInternal=function(t){var r=[],n=[];return r.length=ln(this.flatCoordinates,0,this.ends_,this.stride,Math.sqrt(t),r,0,n),new e(r,st,n)},e.prototype.getType=function(){return dt},e.prototype.intersectsExtent=function(t){return 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ct:i=t.getFlatCoordinates(),this.coordinates.push(i[0],i[1]),o=this.coordinates.length,this.instructions.push([ra.CUSTOM,c,o,t,r]),this.hitDetectionInstructions.push([ra.CUSTOM,c,o,t,n||r])}this.endGeometry(e)},e.prototype.beginGeometry=function(t,e){this.beginGeometryInstruction1_=[ra.BEGIN_GEOMETRY,e,0,t],this.instructions.push(this.beginGeometryInstruction1_),this.beginGeometryInstruction2_=[ra.BEGIN_GEOMETRY,e,0,t],this.hitDetectionInstructions.push(this.beginGeometryInstruction2_)},e.prototype.finish=function(){return{instructions:this.instructions,hitDetectionInstructions:this.hitDetectionInstructions,coordinates:this.coordinates}},e.prototype.reverseHitDetectionInstructions=function(){var t,e=this.hitDetectionInstructions;e.reverse();var r,n,i=e.length,o=-1;for(t=0;t<i;++t)(n=(r=e[t])[0])==ra.END_GEOMETRY?o=t:n==ra.BEGIN_GEOMETRY&&(r[2]=t,f(this.hitDetectionInstructions,o,t),o=-1)},e.prototype.setFillStrokeStyle=function(t,e){var r=this.state;if(t){var 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0!==r&&e.call(this,t),t.currentStrokeStyle=r,t.currentLineCap=n,t.currentLineDash=i,t.currentLineDashOffset=o,t.currentLineJoin=a,t.currentLineWidth=s,t.currentMiterLimit=l)},e.prototype.endGeometry=function(t){this.beginGeometryInstruction1_[2]=this.instructions.length,this.beginGeometryInstruction1_=null,this.beginGeometryInstruction2_[2]=this.hitDetectionInstructions.length,this.beginGeometryInstruction2_=null;var e=[ra.END_GEOMETRY,t];this.instructions.push(e),this.hitDetectionInstructions.push(e)},e.prototype.getBufferedMaxExtent=function(){if(!this.bufferedMaxExtent_&&(this.bufferedMaxExtent_=$t(this.maxExtent),this.maxLineWidth>0)){var t=this.resolution*(this.maxLineWidth+1)/2;Qt(this.bufferedMaxExtent_,t,this.bufferedMaxExtent_)}return this.bufferedMaxExtent_},e}(na),aa=oa,sa=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in 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r=t.getFlatCoordinates(),n=t.getStride(),i=this.coordinates.length,o=this.appendFlatPointCoordinates(r,n);this.instructions.push([ra.DRAW_IMAGE,i,o,this.image_,this.anchorX_*this.imagePixelRatio_,this.anchorY_*this.imagePixelRatio_,Math.ceil(this.height_*this.imagePixelRatio_),this.opacity_,this.originX_,this.originY_,this.rotateWithView_,this.rotation_,[this.scale_[0]*this.pixelRatio/this.imagePixelRatio_,this.scale_[1]*this.pixelRatio/this.imagePixelRatio_],Math.ceil(this.width_*this.imagePixelRatio_),this.declutterImageWithText_]),this.hitDetectionInstructions.push([ra.DRAW_IMAGE,i,o,this.hitDetectionImage_,this.anchorX_,this.anchorY_,this.height_,this.opacity_,this.originX_,this.originY_,this.rotateWithView_,this.rotation_,this.scale_,this.width_,this.declutterImageWithText_]),this.endGeometry(e)}},e.prototype.drawMultiPoint=function(t,e){if(this.image_){this.beginGeometry(t,e);var r=t.getFlatCoordinates(),n=t.getStride(),i=this.coordinates.length,o=this.appendFlatPointCoordinates(r,n);this.instructions.push([ra.DRAW_IMAGE,i,o,this.image_,this.anchorX_*this.imagePixelRatio_,this.anchorY_*this.imagePixelRatio_,Math.ceil(this.height_*this.imagePixelRatio_),this.opacity_,this.originX_,this.originY_,this.rotateWithView_,this.rotation_,[this.scale_[0]*this.pixelRatio/this.imagePixelRatio_,this.scale_[1]*this.pixelRatio/this.imagePixelRatio_],Math.ceil(this.width_*this.imagePixelRatio_),this.declutterImageWithText_]),this.hitDetectionInstructions.push([ra.DRAW_IMAGE,i,o,this.hitDetectionImage_,this.anchorX_,this.anchorY_,this.height_,this.opacity_,this.originX_,this.originY_,this.rotateWithView_,this.rotation_,this.scale_,this.width_,this.declutterImageWithText_]),this.endGeometry(e)}},e.prototype.finish=function(){return this.reverseHitDetectionInstructions(),this.anchorX_=void 0,this.anchorY_=void 0,this.hitDetectionImage_=null,this.image_=null,this.imagePixelRatio_=void 0,this.height_=void 0,this.scale_=void 0,this.opacity_=void 0,this.originX_=void 0,this.originY_=void 0,this.rotateWithView_=void 0,this.rotation_=void 0,this.width_=void 0,t.prototype.finish.call(this)},e.prototype.setImageStyle=function(t,e){var r=t.getAnchor(),n=t.getSize(),i=t.getHitDetectionImage(),o=t.getImage(this.pixelRatio),a=t.getOrigin();this.imagePixelRatio_=t.getPixelRatio(this.pixelRatio),this.anchorX_=r[0],this.anchorY_=r[1],this.hitDetectionImage_=i,this.image_=o,this.height_=n[1],this.opacity_=t.getOpacity(),this.originX_=a[0]*this.imagePixelRatio_,this.originY_=a[1]*this.imagePixelRatio_,this.rotateWithView_=t.getRotateWithView(),this.rotation_=t.getRotation(),this.scale_=t.getScaleArray(),this.width_=n[0],this.declutterImageWithText_=e},e}(aa),ua=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),ha=function(t){function e(e,r,n,i){return t.call(this,e,r,n,i)||this}return ua(e,t),e.prototype.drawFlatCoordinates_=function(t,e,r,n){var i=this.coordinates.length,o=this.appendFlatLineCoordinates(t,e,r,n,!1,!1),a=[ra.MOVE_TO_LINE_TO,i,o];return this.instructions.push(a),this.hitDetectionInstructions.push(a),r},e.prototype.drawLineString=function(t,e){var r=this.state,n=r.strokeStyle,i=r.lineWidth;if(void 0!==n&&void 0!==i){this.updateStrokeStyle(r,this.applyStroke),this.beginGeometry(t,e),this.hitDetectionInstructions.push([ra.SET_STROKE_STYLE,r.strokeStyle,r.lineWidth,r.lineCap,r.lineJoin,r.miterLimit,Fi,0],ta);var o=t.getFlatCoordinates(),a=t.getStride();this.drawFlatCoordinates_(o,0,o.length,a),this.hitDetectionInstructions.push($o),this.endGeometry(e)}},e.prototype.drawMultiLineString=function(t,e){var r=this.state,n=r.strokeStyle,i=r.lineWidth;if(void 0!==n&&void 0!==i){this.updateStrokeStyle(r,this.applyStroke),this.beginGeometry(t,e),this.hitDetectionInstructions.push([ra.SET_STROKE_STYLE,r.strokeStyle,r.lineWidth,r.lineCap,r.lineJoin,r.miterLimit,r.lineDash,r.lineDashOffset],ta);for(var o=t.getEnds(),a=t.getFlatCoordinates(),s=t.getStride(),l=0,u=0,h=o.length;u<h;++u)l=this.drawFlatCoordinates_(a,l,o[u],s);this.hitDetectionInstructions.push($o),this.endGeometry(e)}},e.prototype.finish=function(){var e=this.state;return null!=e.lastStroke&&e.lastStroke!=this.coordinates.length&&this.instructions.push($o),this.reverseHitDetectionInstructions(),this.state=null,t.prototype.finish.call(this)},e.prototype.applyStroke=function(e){null!=e.lastStroke&&e.lastStroke!=this.coordinates.length&&(this.instructions.push($o),e.lastStroke=this.coordinates.length),e.lastStroke=0,t.prototype.applyStroke.call(this,e),this.instructions.push(ta)},e}(aa),ca=ha,pa=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),fa=function(t){function e(e,r,n,i){return t.call(this,e,r,n,i)||this}return pa(e,t),e.prototype.drawFlatCoordinatess_=function(t,e,r,n){var i=this.state,o=void 0!==i.fillStyle,a=void 0!==i.strokeStyle,s=r.length;this.instructions.push(ta),this.hitDetectionInstructions.push(ta);for(var l=0;l<s;++l){var u=r[l],h=this.coordinates.length,c=this.appendFlatLineCoordinates(t,e,u,n,!0,!a),p=[ra.MOVE_TO_LINE_TO,h,c];this.instructions.push(p),this.hitDetectionInstructions.push(p),a&&(this.instructions.push(ea),this.hitDetectionInstructions.push(ea)),e=u}return o&&(this.instructions.push(Qo),this.hitDetectionInstructions.push(Qo)),a&&(this.instructions.push($o),this.hitDetectionInstructions.push($o)),e},e.prototype.drawCircle=function(t,e){var r=this.state,n=r.fillStyle,i=r.strokeStyle;if(void 0!==n||void 0!==i){this.setFillStrokeStyles_(),this.beginGeometry(t,e),void 0!==r.fillStyle&&this.hitDetectionInstructions.push([ra.SET_FILL_STYLE,Pi]),void 0!==r.strokeStyle&&this.hitDetectionInstructions.push([ra.SET_STROKE_STYLE,r.strokeStyle,r.lineWidth,r.lineCap,r.lineJoin,r.miterLimit,r.lineDash,r.lineDashOffset]);var o=t.getFlatCoordinates(),a=t.getStride(),s=this.coordinates.length;this.appendFlatLineCoordinates(o,0,o.length,a,!1,!1);var l=[ra.CIRCLE,s];this.instructions.push(ta,l),this.hitDetectionInstructions.push(ta,l),void 0!==r.fillStyle&&(this.instructions.push(Qo),this.hitDetectionInstructions.push(Qo)),void 0!==r.strokeStyle&&(this.instructions.push($o),this.hitDetectionInstructions.push($o)),this.endGeometry(e)}},e.prototype.drawPolygon=function(t,e){var r=this.state,n=r.fillStyle,i=r.strokeStyle;if(void 0!==n||void 0!==i){this.setFillStrokeStyles_(),this.beginGeometry(t,e),void 0!==r.fillStyle&&this.hitDetectionInstructions.push([ra.SET_FILL_STYLE,Pi]),void 0!==r.strokeStyle&&this.hitDetectionInstructions.push([ra.SET_STROKE_STYLE,r.strokeStyle,r.lineWidth,r.lineCap,r.lineJoin,r.miterLimit,r.lineDash,r.lineDashOffset]);var o=t.getEnds(),a=t.getOrientedFlatCoordinates(),s=t.getStride();this.drawFlatCoordinatess_(a,0,o,s),this.endGeometry(e)}},e.prototype.drawMultiPolygon=function(t,e){var r=this.state,n=r.fillStyle,i=r.strokeStyle;if(void 0!==n||void 0!==i){this.setFillStrokeStyles_(),this.beginGeometry(t,e),void 0!==r.fillStyle&&this.hitDetectionInstructions.push([ra.SET_FILL_STYLE,Pi]),void 0!==r.strokeStyle&&this.hitDetectionInstructions.push([ra.SET_STROKE_STYLE,r.strokeStyle,r.lineWidth,r.lineCap,r.lineJoin,r.miterLimit,r.lineDash,r.lineDashOffset]);for(var o=t.getEndss(),a=t.getOrientedFlatCoordinates(),s=t.getStride(),l=0,u=0,h=o.length;u<h;++u)l=this.drawFlatCoordinatess_(a,l,o[u],s);this.endGeometry(e)}},e.prototype.finish=function(){this.reverseHitDetectionInstructions(),this.state=null;var e=this.tolerance;if(0!==e)for(var r=this.coordinates,n=0,i=r.length;n<i;++n)r[n]=an(r[n],e);return t.prototype.finish.call(this)},e.prototype.setFillStrokeStyles_=function(){var t=this.state;void 0!==t.fillStyle&&this.updateFillStyle(t,this.createFill),void 0!==t.strokeStyle&&this.updateStrokeStyle(t,this.applyStroke)},e}(aa),da=fa;function ga(t,e,r,n,i){var o,a,s,l,u,h,c,p,f,d=r,g=r,_=0,y=0,v=r;for(o=r;o<n;o+=i){var m=e[o],x=e[o+1];void 0!==l&&(p=m-l,f=x-u,s=Math.sqrt(p*p+f*f),void 0!==h&&(y+=a,Math.acos((h*p+c*f)/(a*s))>t&&(y>_&&(_=y,d=v,g=o),y=0,v=o-i)),a=s,h=p,c=f),l=m,u=x}return(y+=s)>_?[v,o]:[d,g]}var _a=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),ya={left:0,end:0,center:.5,right:1,start:1,top:0,middle:.5,hanging:.2,alphabetic:.8,ideographic:.8,bottom:1},va=function(t){function e(e,r,n,i){var o=t.call(this,e,r,n,i)||this;return o.labels_=null,o.text_="",o.textOffsetX_=0,o.textOffsetY_=0,o.textRotateWithView_=void 0,o.textRotation_=0,o.textFillState_=null,o.fillStates={},o.textStrokeState_=null,o.strokeStates={},o.textState_={},o.textStates={},o.textKey_="",o.fillKey_="",o.strokeKey_="",o.declutterImageWithText_=void 0,o}return _a(e,t),e.prototype.finish=function(){var e=t.prototype.finish.call(this);return e.textStates=this.textStates,e.fillStates=this.fillStates,e.strokeStates=this.strokeStates,e},e.prototype.drawText=function(t,e){var r=this.textFillState_,n=this.textStrokeState_,i=this.textState_;if(""!==this.text_&&i&&(r||n)){var o=this.coordinates,a=o.length,s=t.getType(),l=null,u=t.getStride();if(i.placement!==ao||s!=pt&&s!=_t&&s!=dt&&s!=yt){var h=i.overflow?null:[];switch(s){case ct:case gt:l=t.getFlatCoordinates();break;case pt:l=t.getFlatMidpoint();break;case mt:l=t.getCenter();break;case _t:l=t.getFlatMidpoints(),u=2;break;case dt:l=t.getFlatInteriorPoint(),i.overflow||h.push(l[2]/this.resolution),u=3;break;case yt:var c=t.getFlatInteriorPoints();l=[];for(S=0,C=c.length;S<C;S+=3)i.overflow||h.push(c[S+2]/this.resolution),l.push(c[S],c[S+1]);if(0===l.length)return;u=2}if((F=this.appendFlatPointCoordinates(l,u))===a)return;if(h&&(F-a)/2!=l.length/u){var p=a/2;h=h.filter((function(t,e){var r=o[2*(p+e)]===l[e*u]&&o[2*(p+e)+1]===l[e*u+1];return r||--p,r}))}this.saveTextStates_(),(i.backgroundFill||i.backgroundStroke)&&(this.setFillStrokeStyle(i.backgroundFill,i.backgroundStroke),i.backgroundFill&&(this.updateFillStyle(this.state,this.createFill),this.hitDetectionInstructions.push(this.createFill(this.state))),i.backgroundStroke&&(this.updateStrokeStyle(this.state,this.applyStroke),this.hitDetectionInstructions.push(this.createStroke(this.state)))),this.beginGeometry(t,e);var f=i.padding;if(f!=Di&&(i.scale[0]<0||i.scale[1]<0)){var d=i.padding[0],g=i.padding[1],_=i.padding[2],y=i.padding[3];i.scale[0]<0&&(g=-g,y=-y),i.scale[1]<0&&(d=-d,_=-_),f=[d,g,_,y]}var v=this.pixelRatio;this.instructions.push([ra.DRAW_IMAGE,a,F,null,NaN,NaN,NaN,1,0,0,this.textRotateWithView_,this.textRotation_,[1,1],NaN,this.declutterImageWithText_,f==Di?Di:f.map((function(t){return t*v})),!!i.backgroundFill,!!i.backgroundStroke,this.text_,this.textKey_,this.strokeKey_,this.fillKey_,this.textOffsetX_,this.textOffsetY_,h]);var m=1/v;this.hitDetectionInstructions.push([ra.DRAW_IMAGE,a,F,null,NaN,NaN,NaN,1,0,0,this.textRotateWithView_,this.textRotation_,[m,m],NaN,this.declutterImageWithText_,f,!!i.backgroundFill,!!i.backgroundStroke,this.text_,this.textKey_,this.strokeKey_,this.fillKey_,this.textOffsetX_,this.textOffsetY_,h]),this.endGeometry(e)}else{if(!Re(this.getBufferedMaxExtent(),t.getExtent()))return;var x=void 0;if(l=t.getFlatCoordinates(),s==pt)x=[l.length];else if(s==_t)x=t.getEnds();else if(s==dt)x=t.getEnds().slice(0,1);else if(s==yt){var w=t.getEndss();x=[];for(var S=0,C=w.length;S<C;++S)x.push(w[S][0])}this.beginGeometry(t,e);for(var E=i.textAlign,T=0,b=void 0,R=0,P=x.length;R<P;++R){if(null==E){var O=ga(i.maxAngle,l,T,x[R],u);T=O[0],b=O[1]}else b=x[R];for(var S=T;S<b;S+=u)o.push(l[S],l[S+1]);var F=o.length;T=x[R],this.drawChars_(a,F),a=F}this.endGeometry(e)}}},e.prototype.saveTextStates_=function(){var t=this.textStrokeState_,e=this.textState_,r=this.textFillState_,n=this.strokeKey_;t&&(n in this.strokeStates||(this.strokeStates[n]={strokeStyle:t.strokeStyle,lineCap:t.lineCap,lineDashOffset:t.lineDashOffset,lineWidth:t.lineWidth,lineJoin:t.lineJoin,miterLimit:t.miterLimit,lineDash:t.lineDash}));var i=this.textKey_;i in this.textStates||(this.textStates[i]={font:e.font,textAlign:e.textAlign||Mi,textBaseline:e.textBaseline||Ai,scale:e.scale});var o=this.fillKey_;r&&(o in this.fillStates||(this.fillStates[o]={fillStyle:r.fillStyle}))},e.prototype.drawChars_=function(t,e){var r=this.textStrokeState_,n=this.textState_,i=this.strokeKey_,o=this.textKey_,a=this.fillKey_;this.saveTextStates_();var s=this.pixelRatio,l=ya[n.textBaseline],u=this.textOffsetY_*s,h=this.text_,c=r?r.lineWidth*Math.abs(n.scale[0])/2:0;this.instructions.push([ra.DRAW_CHARS,t,e,l,n.overflow,a,n.maxAngle,s,u,i,c*s,h,o,1]),this.hitDetectionInstructions.push([ra.DRAW_CHARS,t,e,l,n.overflow,a,n.maxAngle,1,u,i,c,h,o,1/s])},e.prototype.setTextStyle=function(t,e){var r,i,o;if(t){var a=t.getFill();a?((i=this.textFillState_)||(i={},this.textFillState_=i),i.fillStyle=gi(a.getColor()||Pi)):(i=null,this.textFillState_=i);var s=t.getStroke();if(s){(o=this.textStrokeState_)||(o={},this.textStrokeState_=o);var l=s.getLineDash(),u=s.getLineDashOffset(),h=s.getWidth(),c=s.getMiterLimit();o.lineCap=s.getLineCap()||Oi,o.lineDash=l?l.slice():Fi,o.lineDashOffset=void 0===u?0:u,o.lineJoin=s.getLineJoin()||Ii,o.lineWidth=void 0===h?1:h,o.miterLimit=void 0===c?10:c,o.strokeStyle=gi(s.getColor()||Li)}else o=null,this.textStrokeState_=o;r=this.textState_;var p=t.getFont()||Ri;zi(p);var f=t.getScaleArray();r.overflow=t.getOverflow(),r.font=p,r.maxAngle=t.getMaxAngle(),r.placement=t.getPlacement(),r.textAlign=t.getTextAlign(),r.textBaseline=t.getTextBaseline()||Ai,r.backgroundFill=t.getBackgroundFill(),r.backgroundStroke=t.getBackgroundStroke(),r.padding=t.getPadding()||Di,r.scale=void 0===f?[1,1]:f;var d=t.getOffsetX(),g=t.getOffsetY(),_=t.getRotateWithView(),y=t.getRotation();this.text_=t.getText()||"",this.textOffsetX_=void 0===d?0:d,this.textOffsetY_=void 0===g?0:g,this.textRotateWithView_=void 0!==_&&_,this.textRotation_=void 0===y?0:y,this.strokeKey_=o?("string"==typeof o.strokeStyle?o.strokeStyle:n(o.strokeStyle))+o.lineCap+o.lineDashOffset+"|"+o.lineWidth+o.lineJoin+o.miterLimit+"["+o.lineDash.join()+"]":"",this.textKey_=r.font+r.scale+(r.textAlign||"?")+(r.textBaseline||"?"),this.fillKey_=i?"string"==typeof i.fillStyle?i.fillStyle:"|"+n(i.fillStyle):""}else this.text_="";this.declutterImageWithText_=e},e}(aa),ma={Circle:da,Default:aa,Image:la,LineString:ca,Polygon:da,Text:va},xa=function(){function t(t,e,r,n){this.tolerance_=t,this.maxExtent_=e,this.pixelRatio_=n,this.resolution_=r,this.buildersByZIndex_={}}return t.prototype.finish=function(){var t={};for(var e in this.buildersByZIndex_){t[e]=t[e]||{};var r=this.buildersByZIndex_[e];for(var n in r){var i=r[n].finish();t[e][n]=i}}return t},t.prototype.getBuilder=function(t,e){var r=void 0!==t?t.toString():"0",n=this.buildersByZIndex_[r];void 0===n&&(n={},this.buildersByZIndex_[r]=n);var i=n[e];void 0===i&&(i=new(0,ma[e])(this.tolerance_,this.maxExtent_,this.resolution_,this.pixelRatio_),n[e]=i);return i},t}(),wa=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Sa=function(t){function r(e){var r=t.call(this)||this;return r.boundHandleImageChange_=r.handleImageChange_.bind(r),r.layer_=e,r.declutterExecutorGroup=null,r}return wa(r,t),r.prototype.getFeatures=function(t){return e()},r.prototype.prepareFrame=function(t){return e()},r.prototype.renderFrame=function(t,r){return e()},r.prototype.loadedTileCallback=function(t,e,r){t[e]||(t[e]={}),t[e][r.tileCoord.toString()]=r},r.prototype.createLoadedTileFinder=function(t,e,r){return function(n,i){var o=this.loadedTileCallback.bind(this,r,n);return t.forEachLoadedTile(e,n,i,o)}.bind(this)},r.prototype.forEachFeatureAtCoordinate=function(t,e,r,n,i){},r.prototype.getDataAtPixel=function(t,e,r){return null},r.prototype.getLayer=function(){return this.layer_},r.prototype.handleFontsChanged=function(){},r.prototype.handleImageChange_=function(t){t.target.getState()===Qn&&this.renderIfReadyAndVisible()},r.prototype.loadImage=function(t){var e=t.getState();return e!=Qn&&e!=$n&&t.addEventListener(T,this.boundHandleImageChange_),e==qn&&(t.load(),e=t.getState()),e==Qn},r.prototype.renderIfReadyAndVisible=function(){var t=this.getLayer();t.getVisible()&&t.getSourceState()==Eo&&t.changed()},r}(W),Ca=Sa,Ea=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Ta=function(t){function e(e,r,n,i){var o=t.call(this,e)||this;return o.inversePixelTransform=r,o.frameState=n,o.context=i,o}return Ea(e,t),e}(s),ba=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Ra=function(t){function e(e){var r=t.call(this,e)||this;return r.container=null,r.renderedResolution,r.tempTransform=[1,0,0,1,0,0],r.pixelTransform=[1,0,0,1,0,0],r.inversePixelTransform=[1,0,0,1,0,0],r.context=null,r.containerReused=!1,r.pixelContext_=null,r}return ba(e,t),e.prototype.getBackground=function(t){var e=this.getLayer().getBackground();return"function"==typeof e&&(e=e(t.viewState.resolution)),e||void 0},e.prototype.useContainer=function(t,e,r,n){var i,o,a=this.getLayer().getClassName();!t||t.className!==a||""!==t.style.opacity||1!==r||n&&!g(pi(t.style.backgroundColor),pi(n))||(l=t.firstElementChild)instanceof HTMLCanvasElement&&(o=l.getContext("2d"));if(o&&o.canvas.style.transform===e?(this.container=t,this.context=o,this.containerReused=!0):this.containerReused&&(this.container=null,this.context=null,this.containerReused=!1),!this.container){(i=document.createElement("div")).className=a;var s=i.style;s.position="absolute",s.width="100%",s.height="100%",n&&(s.backgroundColor=n);var l=(o=_i()).canvas;i.appendChild(l),(s=l.style).position="absolute",s.left="0",s.transformOrigin="top left",this.container=i,this.context=o}},e.prototype.clipUnrotated=function(t,e,r){var n=Ee(r),i=Te(r),o=ve(r),a=ye(r);kt(e.coordinateToPixelTransform,n),kt(e.coordinateToPixelTransform,i),kt(e.coordinateToPixelTransform,o),kt(e.coordinateToPixelTransform,a);var s=this.inversePixelTransform;kt(s,n),kt(s,i),kt(s,o),kt(s,a),t.save(),t.beginPath(),t.moveTo(Math.round(n[0]),Math.round(n[1])),t.lineTo(Math.round(i[0]),Math.round(i[1])),t.lineTo(Math.round(o[0]),Math.round(o[1])),t.lineTo(Math.round(a[0]),Math.round(a[1])),t.clip()},e.prototype.dispatchRenderEvent_=function(t,e,r){var n=this.getLayer();if(n.hasListener(t)){var i=new Ta(t,this.inversePixelTransform,r,e);n.dispatchEvent(i)}},e.prototype.preRender=function(t,e){this.dispatchRenderEvent_(jn,t,e)},e.prototype.postRender=function(t,e){this.dispatchRenderEvent_(Gn,t,e)},e.prototype.getRenderTransform=function(t,e,r,n,i,o,a){var s=i/2,l=o/2,u=n/e,h=-u,c=-t[0]+a,p=-t[1];return Gt(this.tempTransform,s,l,u,h,-r,c,p)},e.prototype.getDataAtPixel=function(t,e,r){var n=kt(this.inversePixelTransform,t.slice()),i=this.context,o=this.getLayer().getExtent();if(o&&!ee(o,kt(e.pixelToCoordinateTransform,t.slice())))return null;var a,s=Math.round(n[0]),l=Math.round(n[1]),u=this.pixelContext_;if(!u){var h=document.createElement("canvas");h.width=1,h.height=1,u=h.getContext("2d"),this.pixelContext_=u}u.clearRect(0,0,1,1);try{u.drawImage(i.canvas,s,l,1,1,0,0,1,1),a=u.getImageData(0,0,1,1).data}catch(t){return"SecurityError"===t.name?(this.pixelContext_=null,new Uint8Array):a}return 0===a[3]?null:a},e}(Ca),Pa=Ra,Oa="Circle",Fa="Default",Ia="Image",La="LineString",Ma="Polygon",Aa="Text";function Da(t,e,r,n,i,o,a,s,l,u,h,c){var p=t[e],f=t[e+1],d=0,g=0,_=0,y=0;function v(){d=p,g=f,p=t[e+=n],f=t[e+1],y+=_,_=Math.sqrt((p-d)*(p-d)+(f-g)*(f-g))}do{v()}while(e<r-n&&y+_<o);for(var m=0===_?0:(o-y)/_,x=Ne(d,p,m),w=Ne(g,f,m),S=e-n,C=y,E=o+s*l(u,i,h);e<r-n&&y+_<E;)v();var T,b=Ne(d,p,m=0===_?0:(E-y)/_),R=Ne(g,f,m);if(c){var P=[x,w,b,R];Br(P,0,4,2,c,P,P),T=P[0]>P[2]}else T=x>b;var O,F=Math.PI,I=[],L=S+n===e;if(_=0,y=C,p=t[e=S],f=t[e+1],L){v(),O=Math.atan2(f-g,p-d),T&&(O+=O>0?-F:F);var M=(b+x)/2,A=(R+w)/2;return I[0]=[M,A,(E-o)/2,O,i],I}for(var D=0,k=i.length;D<k;){v();var j=Math.atan2(f-g,p-d);if(T&&(j+=j>0?-F:F),void 0!==O){var G=j-O;if(G+=G>F?-2*F:G<-F?2*F:0,Math.abs(G)>a)return null}O=j;for(var N=D,B=0;D<k;++D){var z=s*l(u,i[T?k-D-1:D],h);if(e+n<r&&y+_<o+B+z/2)break;B+=z}if(D!==N){var U=T?i.substring(k-N,k-D):i.substring(N,D);M=Ne(d,p,m=0===_?0:(o+B/2-y)/_),A=Ne(g,f,m);I.push([M,A,B/2,j,U]),o+=B}}return I}var ka=[1/0,1/0,-1/0,-1/0],ja=[],Ga=[],Na=[],Ba=[];function za(t){return t[3].declutterBox}var Ua=new RegExp("["+String.fromCharCode(1425)+"-"+String.fromCharCode(2303)+String.fromCharCode(64285)+"-"+String.fromCharCode(65023)+String.fromCharCode(65136)+"-"+String.fromCharCode(65276)+String.fromCharCode(67584)+"-"+String.fromCharCode(69631)+String.fromCharCode(124928)+"-"+String.fromCharCode(126975)+"]");function Va(t,e){return"start"!==e&&"end"!==e||Ua.test(t)||(e="start"===e?"left":"right"),ya[e]}var Xa=function(){function t(t,e,r,n){this.overlaps=r,this.pixelRatio=e,this.resolution=t,this.alignFill_,this.instructions=n.instructions,this.coordinates=n.coordinates,this.coordinateCache_={},this.renderedTransform_=[1,0,0,1,0,0],this.hitDetectionInstructions=n.hitDetectionInstructions,this.pixelCoordinates_=null,this.viewRotation_=0,this.fillStates=n.fillStates||{},this.strokeStates=n.strokeStates||{},this.textStates=n.textStates||{},this.widths_={},this.labels_={}}return t.prototype.createLabel=function(t,e,r,n){var i=t+e+r+n;if(this.labels_[i])return this.labels_[i];var o=n?this.strokeStates[n]:null,a=r?this.fillStates[r]:null,s=this.textStates[e],l=this.pixelRatio,u=[s.scale[0]*l,s.scale[1]*l],h=Va(t,s.textAlign||Mi),c=n&&o.lineWidth?o.lineWidth:0,p=t.split("\n"),f=p.length,d=[],g=function(t,e,r){for(var n=e.length,i=0,o=0;o<n;++o){var a=Xi(t,e[o]);i=Math.max(i,a),r.push(a)}return i}(s.font,p,d),_=Ui(s.font),y=g+c,v=[],m=(y+2)*u[0],x=(_*f+c)*u[1],w={width:m<0?Math.floor(m):Math.ceil(m),height:x<0?Math.floor(x):Math.ceil(x),contextInstructions:v};(1==u[0]&&1==u[1]||v.push("scale",u),v.push("font",s.font),n)&&(v.push("strokeStyle",o.strokeStyle),v.push("lineWidth",c),v.push("lineCap",o.lineCap),v.push("lineJoin",o.lineJoin),v.push("miterLimit",o.miterLimit),(Ot?OffscreenCanvasRenderingContext2D:CanvasRenderingContext2D).prototype.setLineDash&&(v.push("setLineDash",[o.lineDash]),v.push("lineDashOffset",o.lineDashOffset)));r&&v.push("fillStyle",a.fillStyle),v.push("textBaseline","middle"),v.push("textAlign","center");var S,C=.5-h,E=h*y+C*c;if(n)for(S=0;S<f;++S)v.push("strokeText",[p[S],E+C*d[S],.5*(c+_)+S*_]);if(r)for(S=0;S<f;++S)v.push("fillText",[p[S],E+C*d[S],.5*(c+_)+S*_]);return this.labels_[i]=w,w},t.prototype.replayTextBackground_=function(t,e,r,n,i,o,a){t.beginPath(),t.moveTo.apply(t,e),t.lineTo.apply(t,r),t.lineTo.apply(t,n),t.lineTo.apply(t,i),t.lineTo.apply(t,e),o&&(this.alignFill_=o[2],this.fill_(t)),a&&(this.setStrokeStyle_(t,a),t.stroke())},t.prototype.calculateImageOrLabelDimensions_=function(t,e,r,n,i,o,a,s,l,u,h,c,p,f,d,g){var _,y=r-(a*=c[0]),v=n-(s*=c[1]),m=i+l>t?t-l:i,x=o+u>e?e-u:o,w=f[3]+m*c[0]+f[1],S=f[0]+x*c[1]+f[2],C=y-f[3],E=v-f[0];return(d||0!==h)&&(ja[0]=C,Ba[0]=C,ja[1]=E,Ga[1]=E,Ga[0]=C+w,Na[0]=Ga[0],Na[1]=E+S,Ba[1]=Na[1]),0!==h?(kt(_=Gt([1,0,0,1,0,0],r,n,1,1,h,-r,-n),ja),kt(_,Ga),kt(_,Na),kt(_,Ba),ae(Math.min(ja[0],Ga[0],Na[0],Ba[0]),Math.min(ja[1],Ga[1],Na[1],Ba[1]),Math.max(ja[0],Ga[0],Na[0],Ba[0]),Math.max(ja[1],Ga[1],Na[1],Ba[1]),ka)):ae(Math.min(C,C+w),Math.min(E,E+S),Math.max(C,C+w),Math.max(E,E+S),ka),p&&(y=Math.round(y),v=Math.round(v)),{drawImageX:y,drawImageY:v,drawImageW:m,drawImageH:x,originX:l,originY:u,declutterBox:{minX:ka[0],minY:ka[1],maxX:ka[2],maxY:ka[3],value:g},canvasTransform:_,scale:c}},t.prototype.replayImageOrLabel_=function(t,e,r,n,i,o,a){var s=!(!o&&!a),l=n.declutterBox,u=t.canvas,h=a?a[2]*n.scale[0]/2:0;return l.minX-h<=u.width/e&&l.maxX+h>=0&&l.minY-h<=u.height/e&&l.maxY+h>=0&&(s&&this.replayTextBackground_(t,ja,Ga,Na,Ba,o,a),Yi(t,n.canvasTransform,i,r,n.originX,n.originY,n.drawImageW,n.drawImageH,n.drawImageX,n.drawImageY,n.scale)),!0},t.prototype.fill_=function(t){if(this.alignFill_){var e=kt(this.renderedTransform_,[0,0]),r=512*this.pixelRatio;t.save(),t.translate(e[0]%r,e[1]%r),t.rotate(this.viewRotation_)}t.fill(),this.alignFill_&&t.restore()},t.prototype.setStrokeStyle_=function(t,e){t.strokeStyle=e[1],t.lineWidth=e[2],t.lineCap=e[3],t.lineJoin=e[4],t.miterLimit=e[5],t.setLineDash&&(t.lineDashOffset=e[7],t.setLineDash(e[6]))},t.prototype.drawLabelWithPointPlacement_=function(t,e,r,n){var i=this.textStates[e],o=this.createLabel(t,e,n,r),a=this.strokeStates[r],s=this.pixelRatio,l=Va(t,i.textAlign||Mi),u=ya[i.textBaseline||Ai],h=a&&a.lineWidth?a.lineWidth:0;return{label:o,anchorX:l*(o.width/s-2*i.scale[0])+2*(.5-l)*h,anchorY:u*o.height/s+2*(.5-u)*h}},t.prototype.execute_=function(t,e,r,n,i,o,a,s){var l,u,h;this.pixelCoordinates_&&g(r,this.renderedTransform_)?l=this.pixelCoordinates_:(this.pixelCoordinates_||(this.pixelCoordinates_=[]),l=Nr(this.coordinates,0,this.coordinates.length,2,r,this.pixelCoordinates_),u=this.renderedTransform_,h=r,u[0]=h[0],u[1]=h[1],u[2]=h[2],u[3]=h[3],u[4]=h[4],u[5]=h[5]);for(var c,p,f,d,_,y,v,m,x,w,S,C,E,T,b,R,P=0,O=n.length,F=0,I=0,L=0,M=null,A=null,D=this.coordinateCache_,k=this.viewRotation_,j=Math.round(1e12*Math.atan2(-r[1],r[0]))/1e12,G={context:t,pixelRatio:this.pixelRatio,resolution:this.resolution,rotation:k},N=this.instructions!=n||this.overlaps?0:200;P<O;){var B=n[P];switch(B[0]){case ra.BEGIN_GEOMETRY:E=B[1],R=B[3],E.getGeometry()?void 0===a||Re(a,R.getExtent())?++P:P=B[2]+1:P=B[2];break;case ra.BEGIN_PATH:I>N&&(this.fill_(t),I=0),L>N&&(t.stroke(),L=0),I||L||(t.beginPath(),d=NaN,_=NaN),++P;break;case ra.CIRCLE:var z=l[F=B[1]],U=l[F+1],V=l[F+2]-z,X=l[F+3]-U,W=Math.sqrt(V*V+X*X);t.moveTo(z+W,U),t.arc(z,U,W,0,2*Math.PI,!0),++P;break;case ra.CLOSE_PATH:t.closePath(),++P;break;case ra.CUSTOM:F=B[1],c=B[2];var Y=B[3],K=B[4],Z=6==B.length?B[5]:void 0;G.geometry=Y,G.feature=E,P in D||(D[P]=[]);var H=D[P];Z?Z(l,F,c,2,H):(H[0]=l[F],H[1]=l[F+1],H.length=2),K(H,G),++P;break;case ra.DRAW_IMAGE:F=B[1],c=B[2],m=B[3],p=B[4],f=B[5];var q=B[6],J=B[7],Q=B[8],$=B[9],tt=B[10],et=B[11],rt=B[12],nt=B[13],it=B[14];if(!m&&B.length>=19){x=B[18],w=B[19],S=B[20],C=B[21];var ot=this.drawLabelWithPointPlacement_(x,w,S,C);m=ot.label,B[3]=m;var at=B[22];p=(ot.anchorX-at)*this.pixelRatio,B[4]=p;var st=B[23];f=(ot.anchorY-st)*this.pixelRatio,B[5]=f,q=m.height,B[6]=q,nt=m.width,B[13]=nt}var lt=void 0;B.length>24&&(lt=B[24]);var ut=void 0,ht=void 0,ct=void 0;B.length>16?(ut=B[15],ht=B[16],ct=B[17]):(ut=Di,ht=!1,ct=!1),tt&&j?et+=k:tt||j||(et-=k);for(var pt=0;F<c;F+=2)if(!(lt&&lt[pt++]<nt/this.pixelRatio)){var ft=[t,e,m,Bt=this.calculateImageOrLabelDimensions_(m.width,m.height,l[F],l[F+1],nt,q,p,f,Q,$,et,rt,i,ut,ht||ct,E),J,ht?M:null,ct?A:null],dt=void 0,gt=void 0;if(s&&it){var _t=c-F;if(!it[_t]){it[_t]=ft;continue}if(dt=it[_t],delete it[_t],gt=za(dt),s.collides(gt))continue}s&&s.collides(Bt.declutterBox)||(dt&&(s&&s.insert(gt),this.replayImageOrLabel_.apply(this,dt)),s&&s.insert(Bt.declutterBox),this.replayImageOrLabel_.apply(this,ft))}++P;break;case ra.DRAW_CHARS:var yt=B[1],vt=B[2],mt=B[3],xt=B[4];C=B[5];var wt=B[6],St=B[7],Ct=B[8];S=B[9];var Et=B[10];x=B[11],w=B[12];var Tt=[B[13],B[13]],bt=this.textStates[w],Rt=bt.font,Pt=[bt.scale[0]*St,bt.scale[1]*St],Ot=void 0;Rt in this.widths_?Ot=this.widths_[Rt]:(Ot={},this.widths_[Rt]=Ot);var Ft=Wn(l,yt,vt,2),It=Math.abs(Pt[0])*Wi(Rt,x,Ot);if(xt||It<=Ft){var Lt=this.textStates[w].textAlign,Mt=Da(l,yt,vt,2,x,(Ft-It)*ya[Lt],wt,Math.abs(Pt[0]),Wi,Rt,Ot,j?0:this.viewRotation_);t:if(Mt){var At=[],Dt=void 0,kt=void 0,jt=void 0,Gt=void 0,Nt=void 0;if(S)for(Dt=0,kt=Mt.length;Dt<kt;++Dt){jt=(Nt=Mt[Dt])[4],Gt=this.createLabel(jt,w,"",S),p=Nt[2]+(Pt[0]<0?-Et:Et),f=mt*Gt.height+2*(.5-mt)*Et*Pt[1]/Pt[0]-Ct;var Bt=this.calculateImageOrLabelDimensions_(Gt.width,Gt.height,Nt[0],Nt[1],Gt.width,Gt.height,p,f,0,0,Nt[3],Tt,!1,Di,!1,E);if(s&&s.collides(Bt.declutterBox))break t;At.push([t,e,Gt,Bt,1,null,null])}if(C)for(Dt=0,kt=Mt.length;Dt<kt;++Dt){jt=(Nt=Mt[Dt])[4],Gt=this.createLabel(jt,w,C,""),p=Nt[2],f=mt*Gt.height-Ct;Bt=this.calculateImageOrLabelDimensions_(Gt.width,Gt.height,Nt[0],Nt[1],Gt.width,Gt.height,p,f,0,0,Nt[3],Tt,!1,Di,!1,E);if(s&&s.collides(Bt.declutterBox))break t;At.push([t,e,Gt,Bt,1,null,null])}s&&s.load(At.map(za));for(var zt=0,Ut=At.length;zt<Ut;++zt)this.replayImageOrLabel_.apply(this,At[zt])}}++P;break;case ra.END_GEOMETRY:if(void 0!==o){var Vt=o(E=B[1],R);if(Vt)return Vt}++P;break;case ra.FILL:N?I++:this.fill_(t),++P;break;case ra.MOVE_TO_LINE_TO:for(F=B[1],c=B[2],T=l[F],v=(b=l[F+1])+.5|0,(y=T+.5|0)===d&&v===_||(t.moveTo(T,b),d=y,_=v),F+=2;F<c;F+=2)y=(T=l[F])+.5|0,v=(b=l[F+1])+.5|0,F!=c-2&&y===d&&v===_||(t.lineTo(T,b),d=y,_=v);++P;break;case ra.SET_FILL_STYLE:M=B,this.alignFill_=B[2],I&&(this.fill_(t),I=0,L&&(t.stroke(),L=0)),t.fillStyle=B[1],++P;break;case ra.SET_STROKE_STYLE:A=B,L&&(t.stroke(),L=0),this.setStrokeStyle_(t,B),++P;break;case ra.STROKE:N?L++:t.stroke(),++P;break;default:++P}}I&&this.fill_(t),L&&t.stroke()},t.prototype.execute=function(t,e,r,n,i,o){this.viewRotation_=n,this.execute_(t,e,r,this.instructions,i,void 0,void 0,o)},t.prototype.executeHitDetection=function(t,e,r,n,i){return this.viewRotation_=r,this.execute_(t,1,e,this.hitDetectionInstructions,!0,n,i)},t}(),Wa=Xa,Ya=[Ma,Oa,La,Ia,Aa,Fa],Ka=function(){function t(t,e,r,n,i,o){this.maxExtent_=t,this.overlaps_=n,this.pixelRatio_=r,this.resolution_=e,this.renderBuffer_=o,this.executorsByZIndex_={},this.hitDetectionContext_=null,this.hitDetectionTransform_=[1,0,0,1,0,0],this.createExecutors_(i)}return t.prototype.clip=function(t,e){var r=this.getClipCoords(e);t.beginPath(),t.moveTo(r[0],r[1]),t.lineTo(r[2],r[3]),t.lineTo(r[4],r[5]),t.lineTo(r[6],r[7]),t.clip()},t.prototype.createExecutors_=function(t){for(var e in t){var r=this.executorsByZIndex_[e];void 0===r&&(r={},this.executorsByZIndex_[e]=r);var n=t[e];for(var i in n){var o=n[i];r[i]=new Wa(this.resolution_,this.pixelRatio_,this.overlaps_,o)}}},t.prototype.hasExecutors=function(t){for(var e in this.executorsByZIndex_)for(var r=this.executorsByZIndex_[e],n=0,i=t.length;n<i;++n)if(t[n]in r)return!0;return!1},t.prototype.forEachFeatureAtCoordinate=function(t,e,r,n,i,o){var a=2*(n=Math.round(n))+1,s=Gt(this.hitDetectionTransform_,n+.5,n+.5,1/e,-1/e,-r,-t[0],-t[1]),l=!this.hitDetectionContext_;l&&(this.hitDetectionContext_=_i(a,a));var u,c=this.hitDetectionContext_;c.canvas.width!==a||c.canvas.height!==a?(c.canvas.width=a,c.canvas.height=a):l||c.clearRect(0,0,a,a),void 0!==this.renderBuffer_&&(pe(u=[1/0,1/0,-1/0,-1/0],t),Qt(u,e*(this.renderBuffer_+n),u));var p,f=function(t){if(void 0!==Za[t])return Za[t];for(var e=2*t+1,r=t*t,n=new Array(r+1),i=0;i<=t;++i)for(var o=0;o<=t;++o){var a=i*i+o*o;if(a>r)break;var s=n[a];s||(s=[],n[a]=s),s.push(4*((t+i)*e+(t+o))+3),i>0&&s.push(4*((t-i)*e+(t+o))+3),o>0&&(s.push(4*((t+i)*e+(t-o))+3),i>0&&s.push(4*((t-i)*e+(t-o))+3))}for(var l=[],u=(i=0,n.length);i<u;++i)n[i]&&l.push.apply(l,n[i]);return Za[t]=l,l}(n);function d(t,e){for(var r=c.getImageData(0,0,a,a).data,s=0,l=f.length;s<l;s++)if(r[f[s]]>0){if(!o||p!==Ia&&p!==Aa||-1!==o.indexOf(t)){var u=(f[s]-3)/4,h=n-u%a,d=n-(u/a|0),g=i(t,e,h*h+d*d);if(g)return g}c.clearRect(0,0,a,a);break}}var g,_,y,v,m,x=Object.keys(this.executorsByZIndex_).map(Number);for(x.sort(h),g=x.length-1;g>=0;--g){var w=x[g].toString();for(y=this.executorsByZIndex_[w],_=Ya.length-1;_>=0;--_)if(void 0!==(v=y[p=Ya[_]])&&(m=v.executeHitDetection(c,s,r,d,u)))return m}},t.prototype.getClipCoords=function(t){var e=this.maxExtent_;if(!e)return null;var r=e[0],n=e[1],i=e[2],o=e[3],a=[r,n,r,o,i,o,i,n];return Nr(a,0,8,2,t,a),a},t.prototype.isEmpty=function(){return S(this.executorsByZIndex_)},t.prototype.execute=function(t,e,r,n,i,o,a){var s=Object.keys(this.executorsByZIndex_).map(Number);s.sort(h),this.maxExtent_&&(t.save(),this.clip(t,r));var l,u,c,p,f,d,g=o||Ya;for(a&&s.reverse(),l=0,u=s.length;l<u;++l){var _=s[l].toString();for(f=this.executorsByZIndex_[_],c=0,p=g.length;c<p;++c){void 0!==(d=f[g[c]])&&d.execute(t,e,r,n,i,a)}}this.maxExtent_&&t.restore()},t}(),Za={};var Ha=Ka,qa=0,Ja=1,Qa=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),$a=function(t){function e(e,r,n,i,o,a,s){var l=t.call(this)||this;return l.context_=e,l.pixelRatio_=r,l.extent_=n,l.transform_=i,l.viewRotation_=o,l.squaredTolerance_=a,l.userTransform_=s,l.contextFillState_=null,l.contextStrokeState_=null,l.contextTextState_=null,l.fillState_=null,l.strokeState_=null,l.image_=null,l.imageAnchorX_=0,l.imageAnchorY_=0,l.imageHeight_=0,l.imageOpacity_=0,l.imageOriginX_=0,l.imageOriginY_=0,l.imageRotateWithView_=!1,l.imageRotation_=0,l.imageScale_=[0,0],l.imageWidth_=0,l.text_="",l.textOffsetX_=0,l.textOffsetY_=0,l.textRotateWithView_=!1,l.textRotation_=0,l.textScale_=[0,0],l.textFillState_=null,l.textStrokeState_=null,l.textState_=null,l.pixelCoordinates_=[],l.tmpLocalTransform_=[1,0,0,1,0,0],l}return Qa(e,t),e.prototype.drawImages_=function(t,e,r,n){if(this.image_){var i=Nr(t,e,r,n,this.transform_,this.pixelCoordinates_),o=this.context_,a=this.tmpLocalTransform_,s=o.globalAlpha;1!=this.imageOpacity_&&(o.globalAlpha=s*this.imageOpacity_);var l=this.imageRotation_;this.imageRotateWithView_&&(l+=this.viewRotation_);for(var u=0,h=i.length;u<h;u+=2){var c=i[u]-this.imageAnchorX_,p=i[u+1]-this.imageAnchorY_;if(0!==l||1!=this.imageScale_[0]||1!=this.imageScale_[1]){var f=c+this.imageAnchorX_,d=p+this.imageAnchorY_;Gt(a,f,d,1,1,l,-f,-d),o.setTransform.apply(o,a),o.translate(f,d),o.scale(this.imageScale_[0],this.imageScale_[1]),o.drawImage(this.image_,this.imageOriginX_,this.imageOriginY_,this.imageWidth_,this.imageHeight_,-this.imageAnchorX_,-this.imageAnchorY_,this.imageWidth_,this.imageHeight_),o.setTransform(1,0,0,1,0,0)}else o.drawImage(this.image_,this.imageOriginX_,this.imageOriginY_,this.imageWidth_,this.imageHeight_,c,p,this.imageWidth_,this.imageHeight_)}1!=this.imageOpacity_&&(o.globalAlpha=s)}},e.prototype.drawText_=function(t,e,r,n){if(this.textState_&&""!==this.text_){this.textFillState_&&this.setContextFillState_(this.textFillState_),this.textStrokeState_&&this.setContextStrokeState_(this.textStrokeState_),this.setContextTextState_(this.textState_);var i=Nr(t,e,r,n,this.transform_,this.pixelCoordinates_),o=this.context_,a=this.textRotation_;for(this.textRotateWithView_&&(a+=this.viewRotation_);e<r;e+=n){var s=i[e]+this.textOffsetX_,l=i[e+1]+this.textOffsetY_;if(0!==a||1!=this.textScale_[0]||1!=this.textScale_[1]){var u=Gt(this.tmpLocalTransform_,s,l,1,1,a,-s,-l);o.setTransform.apply(o,u),o.translate(s,l),o.scale(this.textScale_[0],this.textScale_[1]),this.textStrokeState_&&o.strokeText(this.text_,0,0),this.textFillState_&&o.fillText(this.text_,0,0),o.setTransform(1,0,0,1,0,0)}else this.textStrokeState_&&o.strokeText(this.text_,s,l),this.textFillState_&&o.fillText(this.text_,s,l)}}},e.prototype.moveToLineTo_=function(t,e,r,n,i){var o=this.context_,a=Nr(t,e,r,n,this.transform_,this.pixelCoordinates_);o.moveTo(a[0],a[1]);var s=a.length;i&&(s-=2);for(var l=2;l<s;l+=2)o.lineTo(a[l],a[l+1]);return i&&o.closePath(),r},e.prototype.drawRings_=function(t,e,r,n){for(var i=0,o=r.length;i<o;++i)e=this.moveToLineTo_(t,e,r[i],n,!0);return e},e.prototype.drawCircle=function(t){if(Re(this.extent_,t.getExtent())){if(this.fillState_||this.strokeState_){this.fillState_&&this.setContextFillState_(this.fillState_),this.strokeState_&&this.setContextStrokeState_(this.strokeState_);var e=function(t,e,r){var n=t.getFlatCoordinates();if(n){var i=t.getStride();return Nr(n,0,n.length,i,e,r)}return null}(t,this.transform_,this.pixelCoordinates_),r=e[2]-e[0],n=e[3]-e[1],i=Math.sqrt(r*r+n*n),o=this.context_;o.beginPath(),o.arc(e[0],e[1],i,0,2*Math.PI),this.fillState_&&o.fill(),this.strokeState_&&o.stroke()}""!==this.text_&&this.drawText_(t.getCenter(),0,2,2)}},e.prototype.setStyle=function(t){this.setFillStrokeStyle(t.getFill(),t.getStroke()),this.setImageStyle(t.getImage()),this.setTextStyle(t.getText())},e.prototype.setTransform=function(t){this.transform_=t},e.prototype.drawGeometry=function(t){switch(t.getType()){case ct:this.drawPoint(t);break;case pt:this.drawLineString(t);break;case dt:this.drawPolygon(t);break;case gt:this.drawMultiPoint(t);break;case _t:this.drawMultiLineString(t);break;case yt:this.drawMultiPolygon(t);break;case vt:this.drawGeometryCollection(t);break;case mt:this.drawCircle(t)}},e.prototype.drawFeature=function(t,e){var r=e.getGeometryFunction()(t);r&&Re(this.extent_,r.getExtent())&&(this.setStyle(e),this.drawGeometry(r))},e.prototype.drawGeometryCollection=function(t){for(var e=t.getGeometriesArray(),r=0,n=e.length;r<n;++r)this.drawGeometry(e[r])},e.prototype.drawPoint=function(t){this.squaredTolerance_&&(t=t.simplifyTransformed(this.squaredTolerance_,this.userTransform_));var e=t.getFlatCoordinates(),r=t.getStride();this.image_&&this.drawImages_(e,0,e.length,r),""!==this.text_&&this.drawText_(e,0,e.length,r)},e.prototype.drawMultiPoint=function(t){this.squaredTolerance_&&(t=t.simplifyTransformed(this.squaredTolerance_,this.userTransform_));var e=t.getFlatCoordinates(),r=t.getStride();this.image_&&this.drawImages_(e,0,e.length,r),""!==this.text_&&this.drawText_(e,0,e.length,r)},e.prototype.drawLineString=function(t){if(this.squaredTolerance_&&(t=t.simplifyTransformed(this.squaredTolerance_,this.userTransform_)),Re(this.extent_,t.getExtent())){if(this.strokeState_){this.setContextStrokeState_(this.strokeState_);var e=this.context_,r=t.getFlatCoordinates();e.beginPath(),this.moveToLineTo_(r,0,r.length,t.getStride(),!1),e.stroke()}if(""!==this.text_){var n=t.getFlatMidpoint();this.drawText_(n,0,2,2)}}},e.prototype.drawMultiLineString=function(t){this.squaredTolerance_&&(t=t.simplifyTransformed(this.squaredTolerance_,this.userTransform_));var e=t.getExtent();if(Re(this.extent_,e)){if(this.strokeState_){this.setContextStrokeState_(this.strokeState_);var r=this.context_,n=t.getFlatCoordinates(),i=0,o=t.getEnds(),a=t.getStride();r.beginPath();for(var s=0,l=o.length;s<l;++s)i=this.moveToLineTo_(n,i,o[s],a,!1);r.stroke()}if(""!==this.text_){var u=t.getFlatMidpoints();this.drawText_(u,0,u.length,2)}}},e.prototype.drawPolygon=function(t){if(this.squaredTolerance_&&(t=t.simplifyTransformed(this.squaredTolerance_,this.userTransform_)),Re(this.extent_,t.getExtent())){if(this.strokeState_||this.fillState_){this.fillState_&&this.setContextFillState_(this.fillState_),this.strokeState_&&this.setContextStrokeState_(this.strokeState_);var e=this.context_;e.beginPath(),this.drawRings_(t.getOrientedFlatCoordinates(),0,t.getEnds(),t.getStride()),this.fillState_&&e.fill(),this.strokeState_&&e.stroke()}if(""!==this.text_){var r=t.getFlatInteriorPoint();this.drawText_(r,0,2,2)}}},e.prototype.drawMultiPolygon=function(t){if(this.squaredTolerance_&&(t=t.simplifyTransformed(this.squaredTolerance_,this.userTransform_)),Re(this.extent_,t.getExtent())){if(this.strokeState_||this.fillState_){this.fillState_&&this.setContextFillState_(this.fillState_),this.strokeState_&&this.setContextStrokeState_(this.strokeState_);var e=this.context_,r=t.getOrientedFlatCoordinates(),n=0,i=t.getEndss(),o=t.getStride();e.beginPath();for(var a=0,s=i.length;a<s;++a){var l=i[a];n=this.drawRings_(r,n,l,o)}this.fillState_&&e.fill(),this.strokeState_&&e.stroke()}if(""!==this.text_){var u=t.getFlatInteriorPoints();this.drawText_(u,0,u.length,2)}}},e.prototype.setContextFillState_=function(t){var e=this.context_,r=this.contextFillState_;r?r.fillStyle!=t.fillStyle&&(r.fillStyle=t.fillStyle,e.fillStyle=t.fillStyle):(e.fillStyle=t.fillStyle,this.contextFillState_={fillStyle:t.fillStyle})},e.prototype.setContextStrokeState_=function(t){var e=this.context_,r=this.contextStrokeState_;r?(r.lineCap!=t.lineCap&&(r.lineCap=t.lineCap,e.lineCap=t.lineCap),e.setLineDash&&(g(r.lineDash,t.lineDash)||e.setLineDash(r.lineDash=t.lineDash),r.lineDashOffset!=t.lineDashOffset&&(r.lineDashOffset=t.lineDashOffset,e.lineDashOffset=t.lineDashOffset)),r.lineJoin!=t.lineJoin&&(r.lineJoin=t.lineJoin,e.lineJoin=t.lineJoin),r.lineWidth!=t.lineWidth&&(r.lineWidth=t.lineWidth,e.lineWidth=t.lineWidth),r.miterLimit!=t.miterLimit&&(r.miterLimit=t.miterLimit,e.miterLimit=t.miterLimit),r.strokeStyle!=t.strokeStyle&&(r.strokeStyle=t.strokeStyle,e.strokeStyle=t.strokeStyle)):(e.lineCap=t.lineCap,e.setLineDash&&(e.setLineDash(t.lineDash),e.lineDashOffset=t.lineDashOffset),e.lineJoin=t.lineJoin,e.lineWidth=t.lineWidth,e.miterLimit=t.miterLimit,e.strokeStyle=t.strokeStyle,this.contextStrokeState_={lineCap:t.lineCap,lineDash:t.lineDash,lineDashOffset:t.lineDashOffset,lineJoin:t.lineJoin,lineWidth:t.lineWidth,miterLimit:t.miterLimit,strokeStyle:t.strokeStyle})},e.prototype.setContextTextState_=function(t){var e=this.context_,r=this.contextTextState_,n=t.textAlign?t.textAlign:Mi;r?(r.font!=t.font&&(r.font=t.font,e.font=t.font),r.textAlign!=n&&(r.textAlign=n,e.textAlign=n),r.textBaseline!=t.textBaseline&&(r.textBaseline=t.textBaseline,e.textBaseline=t.textBaseline)):(e.font=t.font,e.textAlign=n,e.textBaseline=t.textBaseline,this.contextTextState_={font:t.font,textAlign:n,textBaseline:t.textBaseline})},e.prototype.setFillStrokeStyle=function(t,e){var r=this;if(t){var n=t.getColor();this.fillState_={fillStyle:gi(n||Pi)}}else this.fillState_=null;if(e){var i=e.getColor(),o=e.getLineCap(),a=e.getLineDash(),s=e.getLineDashOffset(),l=e.getLineJoin(),u=e.getWidth(),h=e.getMiterLimit(),c=a||Fi;this.strokeState_={lineCap:void 0!==o?o:Oi,lineDash:1===this.pixelRatio_?c:c.map((function(t){return t*r.pixelRatio_})),lineDashOffset:(s||0)*this.pixelRatio_,lineJoin:void 0!==l?l:Ii,lineWidth:(void 0!==u?u:1)*this.pixelRatio_,miterLimit:void 0!==h?h:10,strokeStyle:gi(i||Li)}}else this.strokeState_=null},e.prototype.setImageStyle=function(t){var e;if(t&&(e=t.getSize())){var r=t.getAnchor(),n=t.getOrigin();this.image_=t.getImage(this.pixelRatio_),this.imageAnchorX_=r[0]*this.pixelRatio_,this.imageAnchorY_=r[1]*this.pixelRatio_,this.imageHeight_=e[1]*this.pixelRatio_,this.imageOpacity_=t.getOpacity(),this.imageOriginX_=n[0],this.imageOriginY_=n[1],this.imageRotateWithView_=t.getRotateWithView(),this.imageRotation_=t.getRotation(),this.imageScale_=t.getScaleArray(),this.imageWidth_=e[0]*this.pixelRatio_}else this.image_=null},e.prototype.setTextStyle=function(t){if(t){var e=t.getFill();if(e){var r=e.getColor();this.textFillState_={fillStyle:gi(r||Pi)}}else this.textFillState_=null;var n=t.getStroke();if(n){var i=n.getColor(),o=n.getLineCap(),a=n.getLineDash(),s=n.getLineDashOffset(),l=n.getLineJoin(),u=n.getWidth(),h=n.getMiterLimit();this.textStrokeState_={lineCap:void 0!==o?o:Oi,lineDash:a||Fi,lineDashOffset:s||0,lineJoin:void 0!==l?l:Ii,lineWidth:void 0!==u?u:1,miterLimit:void 0!==h?h:10,strokeStyle:gi(i||Li)}}else this.textStrokeState_=null;var c=t.getFont(),p=t.getOffsetX(),f=t.getOffsetY(),d=t.getRotateWithView(),g=t.getRotation(),_=t.getScaleArray(),y=t.getText(),v=t.getTextAlign(),m=t.getTextBaseline();this.textState_={font:void 0!==c?c:Ri,textAlign:void 0!==v?v:Mi,textBaseline:void 0!==m?m:Ai},this.text_=void 0!==y?y:"",this.textOffsetX_=void 0!==p?this.pixelRatio_*p:0,this.textOffsetY_=void 0!==f?this.pixelRatio_*f:0,this.textRotateWithView_=void 0!==d&&d,this.textRotation_=void 0!==g?g:0,this.textScale_=[this.pixelRatio_*_[0],this.pixelRatio_*_[1]]}else this.text_=""},e}(na),ts=$a,es="fraction",rs="pixels",ns="bottom-left",is="bottom-right",os="top-left",as="top-right";function ss(t,e,r){return e+":"+t+":"+(r?ui(r):"null")}var ls=new(function(){function t(){this.cache_={},this.cacheSize_=0,this.maxCacheSize_=32}return t.prototype.clear=function(){this.cache_={},this.cacheSize_=0},t.prototype.canExpireCache=function(){return this.cacheSize_>this.maxCacheSize_},t.prototype.expire=function(){if(this.canExpireCache()){var t=0;for(var e in this.cache_){var r=this.cache_[e];0!=(3&t++)||r.hasListener()||(delete this.cache_[e],--this.cacheSize_)}}},t.prototype.get=function(t,e,r){var n=ss(t,e,r);return n in this.cache_?this.cache_[n]:null},t.prototype.set=function(t,e,r,n){var i=ss(t,e,r);this.cache_[i]=n,++this.cacheSize_},t.prototype.setSize=function(t){this.maxCacheSize_=t,this.expire()},t}()),us=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),hs=function(t){function r(e,r,n,i){var o=t.call(this)||this;return o.extent=e,o.pixelRatio_=n,o.resolution=r,o.state=i,o}return us(r,t),r.prototype.changed=function(){this.dispatchEvent(T)},r.prototype.getExtent=function(){return this.extent},r.prototype.getImage=function(){return e()},r.prototype.getPixelRatio=function(){return this.pixelRatio_},r.prototype.getResolution=function(){return this.resolution},r.prototype.getState=function(){return this.state},r.prototype.load=function(){e()},r}(E),cs=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}();function ps(t,e,r){var n=t,i=!0,o=!1,a=!1,s=[B(n,D,(function(){a=!0,o||e()}))];return n.src&&Ft?(o=!0,n.decode().then((function(){i&&e()})).catch((function(t){i&&(a?e():r())}))):s.push(B(n,b,r)),function(){i=!1,s.forEach(z)}}var fs=function(t){function e(e,r,n,i,o,a){var s=t.call(this,e,r,n,qn)||this;return s.src_=i,s.image_=new Image,null!==o&&(s.image_.crossOrigin=o),s.unlisten_=null,s.state=qn,s.imageLoadFunction_=a,s}return cs(e,t),e.prototype.getImage=function(){return this.image_},e.prototype.handleImageError_=function(){this.state=$n,this.unlistenImage_(),this.changed()},e.prototype.handleImageLoad_=function(){void 0===this.resolution&&(this.resolution=Se(this.extent)/this.image_.height),this.state=Qn,this.unlistenImage_(),this.changed()},e.prototype.load=function(){this.state!=qn&&this.state!=$n||(this.state=Jn,this.changed(),this.imageLoadFunction_(this,this.src_),this.unlisten_=ps(this.image_,this.handleImageLoad_.bind(this),this.handleImageError_.bind(this)))},e.prototype.setImage=function(t){this.image_=t,this.resolution=Se(this.extent)/this.image_.height},e.prototype.unlistenImage_=function(){this.unlisten_&&(this.unlisten_(),this.unlisten_=null)},e}(hs),ds=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),gs=null,_s=function(t){function e(e,r,n,i,o,a){var s=t.call(this)||this;return s.hitDetectionImage_=null,s.image_=e||new Image,null!==i&&(s.image_.crossOrigin=i),s.canvas_={},s.color_=a,s.unlisten_=null,s.imageState_=o,s.size_=n,s.src_=r,s.tainted_,s}return ds(e,t),e.prototype.isTainted_=function(){if(void 0===this.tainted_&&this.imageState_===Qn){gs||(gs=_i(1,1)),gs.drawImage(this.image_,0,0);try{gs.getImageData(0,0,1,1),this.tainted_=!1}catch(t){gs=null,this.tainted_=!0}}return!0===this.tainted_},e.prototype.dispatchChangeEvent_=function(){this.dispatchEvent(T)},e.prototype.handleImageError_=function(){this.imageState_=$n,this.unlistenImage_(),this.dispatchChangeEvent_()},e.prototype.handleImageLoad_=function(){this.imageState_=Qn,this.size_?(this.image_.width=this.size_[0],this.image_.height=this.size_[1]):this.size_=[this.image_.width,this.image_.height],this.unlistenImage_(),this.dispatchChangeEvent_()},e.prototype.getImage=function(t){return this.replaceColor_(t),this.canvas_[t]?this.canvas_[t]:this.image_},e.prototype.getPixelRatio=function(t){return this.replaceColor_(t),this.canvas_[t]?t:1},e.prototype.getImageState=function(){return this.imageState_},e.prototype.getHitDetectionImage=function(){if(!this.hitDetectionImage_)if(this.isTainted_()){var t=this.size_[0],e=this.size_[1],r=_i(t,e);r.fillRect(0,0,t,e),this.hitDetectionImage_=r.canvas}else this.hitDetectionImage_=this.image_;return this.hitDetectionImage_},e.prototype.getSize=function(){return this.size_},e.prototype.getSrc=function(){return this.src_},e.prototype.load=function(){if(this.imageState_==qn){this.imageState_=Jn;try{this.image_.src=this.src_}catch(t){this.handleImageError_()}this.unlisten_=ps(this.image_,this.handleImageLoad_.bind(this),this.handleImageError_.bind(this))}},e.prototype.replaceColor_=function(t){if(this.color_&&!this.canvas_[t]&&this.imageState_===Qn){var e=document.createElement("canvas");this.canvas_[t]=e,e.width=Math.ceil(this.image_.width*t),e.height=Math.ceil(this.image_.height*t);var r=e.getContext("2d");if(r.scale(t,t),r.drawImage(this.image_,0,0),r.globalCompositeOperation="multiply","multiply"===r.globalCompositeOperation||this.isTainted_())r.fillStyle=ui(this.color_),r.fillRect(0,0,e.width/t,e.height/t),r.globalCompositeOperation="destination-in",r.drawImage(this.image_,0,0);else{for(var n=r.getImageData(0,0,e.width,e.height),i=n.data,o=this.color_[0]/255,a=this.color_[1]/255,s=this.color_[2]/255,l=this.color_[3],u=0,h=i.length;u<h;u+=4)i[u]*=o,i[u+1]*=a,i[u+2]*=s,i[u+3]*=l;r.putImageData(n,0,0)}}},e.prototype.unlistenImage_=function(){this.unlisten_&&(this.unlisten_(),this.unlisten_=null)},e}(E);var ys=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),vs=function(t){function e(e){var r=this,i=e||{},o=void 0!==i.opacity?i.opacity:1,a=void 0!==i.rotation?i.rotation:0,s=void 0!==i.scale?i.scale:1,l=void 0!==i.rotateWithView&&i.rotateWithView;(r=t.call(this,{opacity:o,rotation:a,scale:s,displacement:void 0!==i.displacement?i.displacement:[0,0],rotateWithView:l})||this).anchor_=void 0!==i.anchor?i.anchor:[.5,.5],r.normalizedAnchor_=null,r.anchorOrigin_=void 0!==i.anchorOrigin?i.anchorOrigin:os,r.anchorXUnits_=void 0!==i.anchorXUnits?i.anchorXUnits:es,r.anchorYUnits_=void 0!==i.anchorYUnits?i.anchorYUnits:es,r.crossOrigin_=void 0!==i.crossOrigin?i.crossOrigin:null;var u=void 0!==i.img?i.img:null,h=void 0!==i.imgSize?i.imgSize:null,c=i.src;nt(!(void 0!==c&&u),4),nt(!u||u&&h,5),void 0!==c&&0!==c.length||!u||(c=u.src||n(u)),nt(void 0!==c&&c.length>0,6);var p=void 0!==i.src?qn:Qn;return r.color_=void 0!==i.color?pi(i.color):null,r.iconImage_=function(t,e,r,n,i,o){var a=ls.get(e,n,o);return a||(a=new _s(t,e,r,n,i,o),ls.set(e,n,o,a)),a}(u,c,h,r.crossOrigin_,p,r.color_),r.offset_=void 0!==i.offset?i.offset:[0,0],r.offsetOrigin_=void 0!==i.offsetOrigin?i.offsetOrigin:os,r.origin_=null,r.size_=void 0!==i.size?i.size:null,r}return ys(e,t),e.prototype.clone=function(){var t=this.getScale();return new e({anchor:this.anchor_.slice(),anchorOrigin:this.anchorOrigin_,anchorXUnits:this.anchorXUnits_,anchorYUnits:this.anchorYUnits_,crossOrigin:this.crossOrigin_,color:this.color_&&this.color_.slice?this.color_.slice():this.color_||void 0,src:this.getSrc(),offset:this.offset_.slice(),offsetOrigin:this.offsetOrigin_,size:null!==this.size_?this.size_.slice():void 0,opacity:this.getOpacity(),scale:Array.isArray(t)?t.slice():t,rotation:this.getRotation(),rotateWithView:this.getRotateWithView()})},e.prototype.getAnchor=function(){var t=this.normalizedAnchor_;if(!t){t=this.anchor_;var e=this.getSize();if(this.anchorXUnits_==es||this.anchorYUnits_==es){if(!e)return null;t=this.anchor_.slice(),this.anchorXUnits_==es&&(t[0]*=e[0]),this.anchorYUnits_==es&&(t[1]*=e[1])}if(this.anchorOrigin_!=os){if(!e)return null;t===this.anchor_&&(t=this.anchor_.slice()),this.anchorOrigin_!=as&&this.anchorOrigin_!=is||(t[0]=-t[0]+e[0]),this.anchorOrigin_!=ns&&this.anchorOrigin_!=is||(t[1]=-t[1]+e[1])}this.normalizedAnchor_=t}var r=this.getDisplacement();return[t[0]-r[0],t[1]+r[1]]},e.prototype.setAnchor=function(t){this.anchor_=t,this.normalizedAnchor_=null},e.prototype.getColor=function(){return this.color_},e.prototype.getImage=function(t){return this.iconImage_.getImage(t)},e.prototype.getPixelRatio=function(t){return this.iconImage_.getPixelRatio(t)},e.prototype.getImageSize=function(){return this.iconImage_.getSize()},e.prototype.getImageState=function(){return this.iconImage_.getImageState()},e.prototype.getHitDetectionImage=function(){return this.iconImage_.getHitDetectionImage()},e.prototype.getOrigin=function(){if(this.origin_)return this.origin_;var t=this.offset_;if(this.offsetOrigin_!=os){var e=this.getSize(),r=this.iconImage_.getSize();if(!e||!r)return null;t=t.slice(),this.offsetOrigin_!=as&&this.offsetOrigin_!=is||(t[0]=r[0]-e[0]-t[0]),this.offsetOrigin_!=ns&&this.offsetOrigin_!=is||(t[1]=r[1]-e[1]-t[1])}return this.origin_=t,this.origin_},e.prototype.getSrc=function(){return this.iconImage_.getSrc()},e.prototype.getSize=function(){return this.size_?this.size_:this.iconImage_.getSize()},e.prototype.listenImageChange=function(t){this.iconImage_.addEventListener(T,t)},e.prototype.load=function(){this.iconImage_.load()},e.prototype.unlistenImageChange=function(t){this.iconImage_.removeEventListener(T,t)},e}(ai),ms=vs,xs=.5;function ws(t,e,r,n,i,o,a){var s=_i(t[0]*xs,t[1]*xs);s.imageSmoothingEnabled=!1;for(var l=s.canvas,u=new ts(s,xs,i,null,a),c=r.length,p=Math.floor(16777215/c),f={},d=1;d<=c;++d){var g=r[d-1],_=g.getStyleFunction()||n;if(n){var y=_(g,o);if(y){Array.isArray(y)||(y=[y]);for(var v="#"+("000000"+(d*p).toString(16)).slice(-6),m=0,x=y.length;m<x;++m){var w=y[m],S=w.getGeometryFunction()(g);if(S&&Re(i,S.getExtent())){var C=w.clone(),E=C.getFill();E&&E.setColor(v);var T=C.getStroke();T&&(T.setColor(v),T.setLineDash(null)),C.setText(void 0);var b=w.getImage();if(b&&0!==b.getOpacity()){var R=b.getImageSize();if(!R)continue;var P=_i(R[0],R[1],void 0,{alpha:!1}),O=P.canvas;P.fillStyle=v,P.fillRect(0,0,O.width,O.height),C.setImage(new ms({img:O,imgSize:R,anchor:b.getAnchor(),anchorXUnits:rs,anchorYUnits:rs,offset:b.getOrigin(),opacity:1,size:b.getSize(),scale:b.getScale(),rotation:b.getRotation(),rotateWithView:b.getRotateWithView()}))}var F=C.getZIndex()||0;(M=f[F])||(M={},f[F]=M,M[dt]=[],M[mt]=[],M[pt]=[],M[ct]=[]),M[S.getType().replace("Multi","")].push(S,C)}}}}}for(var I=Object.keys(f).map(Number).sort(h),L=(d=0,I.length);d<L;++d){var M=f[I[d]];for(var A in M){var D=M[A];for(m=0,x=D.length;m<x;m+=2){u.setStyle(D[m+1]);for(var k=0,j=e.length;k<j;++k)u.setTransform(e[k]),u.drawGeometry(D[m])}}}return s.getImageData(0,0,l.width,l.height)}function Ss(t,e,r){var n=[];if(r){var i=Math.floor(Math.round(t[0])*xs),o=Math.floor(Math.round(t[1])*xs),a=4*(Ie(i,0,r.width-1)+Ie(o,0,r.height-1)*r.width),s=r.data[a],l=r.data[a+1],u=r.data[a+2]+256*(l+256*s),h=Math.floor(16777215/e.length);u&&u%h==0&&n.push(e[u/h-1])}return n}var Cs={Point:function(t,e,r,n,i){var o,a=r.getImage(),s=r.getText();i&&(t=i,o=a&&s&&s.getText()?{}:void 0);if(a){if(a.getImageState()!=Qn)return;var l=t.getBuilder(r.getZIndex(),Ia);l.setImageStyle(a,o),l.drawPoint(e,n)}if(s&&s.getText()){var u=t.getBuilder(r.getZIndex(),Aa);u.setTextStyle(s,o),u.drawText(e,n)}},LineString:function(t,e,r,n,i){var o=r.getStroke();if(o){var a=t.getBuilder(r.getZIndex(),La);a.setFillStrokeStyle(null,o),a.drawLineString(e,n)}var s=r.getText();if(s&&s.getText()){var l=(i||t).getBuilder(r.getZIndex(),Aa);l.setTextStyle(s),l.drawText(e,n)}},Polygon:function(t,e,r,n,i){var o=r.getFill(),a=r.getStroke();if(o||a){var s=t.getBuilder(r.getZIndex(),Ma);s.setFillStrokeStyle(o,a),s.drawPolygon(e,n)}var l=r.getText();if(l&&l.getText()){var u=(i||t).getBuilder(r.getZIndex(),Aa);u.setTextStyle(l),u.drawText(e,n)}},MultiPoint:function(t,e,r,n,i){var o,a=r.getImage(),s=r.getText();i&&(t=i,o=a&&s&&s.getText()?{}:void 0);if(a){if(a.getImageState()!=Qn)return;var l=t.getBuilder(r.getZIndex(),Ia);l.setImageStyle(a,o),l.drawMultiPoint(e,n)}if(s&&s.getText()){var u=(i||t).getBuilder(r.getZIndex(),Aa);u.setTextStyle(s,o),u.drawText(e,n)}},MultiLineString:function(t,e,r,n,i){var o=r.getStroke();if(o){var a=t.getBuilder(r.getZIndex(),La);a.setFillStrokeStyle(null,o),a.drawMultiLineString(e,n)}var s=r.getText();if(s&&s.getText()){var l=(i||t).getBuilder(r.getZIndex(),Aa);l.setTextStyle(s),l.drawText(e,n)}},MultiPolygon:function(t,e,r,n,i){var o=r.getFill(),a=r.getStroke();if(a||o){var s=t.getBuilder(r.getZIndex(),Ma);s.setFillStrokeStyle(o,a),s.drawMultiPolygon(e,n)}var l=r.getText();if(l&&l.getText()){var u=(i||t).getBuilder(r.getZIndex(),Aa);u.setTextStyle(l),u.drawText(e,n)}},GeometryCollection:function(t,e,r,n,i){var o,a,s=e.getGeometriesArray();for(o=0,a=s.length;o<a;++o){(0,Cs[s[o].getType()])(t,s[o],r,n,i)}},Circle:function(t,e,r,n,i){var o=r.getFill(),a=r.getStroke();if(o||a){var s=t.getBuilder(r.getZIndex(),Oa);s.setFillStrokeStyle(o,a),s.drawCircle(e,n)}var l=r.getText();if(l&&l.getText()){var u=(i||t).getBuilder(r.getZIndex(),Aa);u.setTextStyle(l),u.drawText(e,n)}}};function Es(t,e){return parseInt(n(t),10)-parseInt(n(e),10)}function Ts(t,e){var r=bs(t,e);return r*r}function bs(t,e){return.5*t/e}function Rs(t,e,r,n,i,o,a){var s=!1,l=r.getImage();if(l){var u=l.getImageState();u==Qn||u==$n?l.unlistenImageChange(i):(u==qn&&l.load(),u=l.getImageState(),l.listenImageChange(i),s=!0)}return function(t,e,r,n,i,o){var a=r.getGeometryFunction()(e);if(!a)return;var s=a.simplifyTransformed(n,i);if(r.getRenderer())Ps(t,s,r,e);else{(0,Cs[s.getType()])(t,s,r,e,o)}}(t,e,r,n,o,a),s}function Ps(t,e,r,n){if(e.getType()!=vt)t.getBuilder(r.getZIndex(),Fa).drawCustom(e,n,r.getRenderer(),r.getHitDetectionRenderer());else for(var i=e.getGeometries(),o=0,a=i.length;o<a;++o)Ps(t,i[o],r,n)}var Os=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Fs=function(t){function e(e){var r=t.call(this,e)||this;return r.boundHandleStyleImageChange_=r.handleStyleImageChange_.bind(r),r.animatingOrInteracting_,r.dirty_=!1,r.hitDetectionImageData_=null,r.renderedFeatures_=null,r.renderedRevision_=-1,r.renderedResolution_=NaN,r.renderedExtent_=[1/0,1/0,-1/0,-1/0],r.wrappedRenderedExtent_=[1/0,1/0,-1/0,-1/0],r.renderedRotation_,r.renderedCenter_=null,r.renderedProjection_=null,r.renderedRenderOrder_=null,r.replayGroup_=null,r.replayGroupChanged=!0,r.declutterExecutorGroup=null,r.clipping=!0,r}return Os(e,t),e.prototype.renderWorlds=function(t,e,r){var n=e.extent,i=e.viewState,o=i.center,a=i.resolution,s=i.projection,l=i.rotation,u=s.getExtent(),h=this.getLayer().getSource(),c=e.pixelRatio,p=e.viewHints,f=!(p[qa]||p[Ja]),d=this.context,g=Math.round(e.size[0]*c),_=Math.round(e.size[1]*c),y=h.getWrapX()&&s.canWrapX(),v=y?be(u):null,m=y?Math.ceil((n[2]-u[2])/v)+1:1,x=y?Math.floor((n[0]-u[0])/v):0;do{var w=this.getRenderTransform(o,a,l,c,g,_,x*v);t.execute(d,1,w,l,f,void 0,r)}while(++x<m)},e.prototype.renderDeclutter=function(t){this.declutterExecutorGroup&&this.renderWorlds(this.declutterExecutorGroup,t,t.declutterTree)},e.prototype.renderFrame=function(t,e){var r=t.pixelRatio,n=t.layerStatesArray[t.layerIndex];!function(t,e,r){Dt(t,e,0,0,r,0,0)}(this.pixelTransform,1/r,1/r),Nt(this.inversePixelTransform,this.pixelTransform);var i=Bt(this.pixelTransform);this.useContainer(e,i,n.opacity);var o=this.context,a=o.canvas,s=this.replayGroup_,l=this.declutterExecutorGroup;if((!s||s.isEmpty())&&(!l||l.isEmpty()))return null;var u=Math.round(t.size[0]*r),h=Math.round(t.size[1]*r);a.width!=u||a.height!=h?(a.width=u,a.height=h,a.style.transform!==i&&(a.style.transform=i)):this.containerReused||o.clearRect(0,0,u,h),this.preRender(o,t);var c=t.viewState;c.projection;var p=!1,f=!0;if(n.extent&&this.clipping){var d=Gr(n.extent);(p=(f=Re(d,t.extent))&&!re(d,t.extent))&&this.clipUnrotated(o,t,d)}f&&this.renderWorlds(s,t),p&&o.restore(),this.postRender(o,t);var g=bi(n.opacity),_=this.container;return g!==_.style.opacity&&(_.style.opacity=g),this.renderedRotation_!==c.rotation&&(this.renderedRotation_=c.rotation,this.hitDetectionImageData_=null),this.container},e.prototype.getFeatures=function(t){return new Promise(function(e){if(!this.hitDetectionImageData_&&!this.animatingOrInteracting_){var r=[this.context.canvas.width,this.context.canvas.height];kt(this.pixelTransform,r);var n=this.renderedCenter_,i=this.renderedResolution_,o=this.renderedRotation_,a=this.renderedProjection_,s=this.wrappedRenderedExtent_,l=this.getLayer(),u=[],h=r[0]*xs,c=r[1]*xs;u.push(this.getRenderTransform(n,i,o,xs,h,c,0).slice());var p=l.getSource(),f=a.getExtent();if(p.getWrapX()&&a.canWrapX()&&!re(f,s)){for(var d=s[0],g=be(f),_=0,y=void 0;d<f[0];)y=g*--_,u.push(this.getRenderTransform(n,i,o,xs,h,c,y).slice()),d+=g;for(_=0,d=s[2];d>f[2];)y=g*++_,u.push(this.getRenderTransform(n,i,o,xs,h,c,y).slice()),d-=g}this.hitDetectionImageData_=ws(r,u,this.renderedFeatures_,l.getStyleFunction(),s,i,o)}e(Ss(t,this.renderedFeatures_,this.hitDetectionImageData_))}.bind(this))},e.prototype.forEachFeatureAtCoordinate=function(t,e,r,i,o){var a=this;if(this.replayGroup_){var s,l=e.viewState.resolution,u=e.viewState.rotation,h=this.getLayer(),c={},p=function(t,e,r){var a=n(t),s=c[a];if(s){if(!0!==s&&r<s.distanceSq){if(0===r)return c[a]=!0,o.splice(o.lastIndexOf(s),1),i(t,h,e);s.geometry=e,s.distanceSq=r}}else{if(0===r)return c[a]=!0,i(t,h,e);o.push(c[a]={feature:t,layer:h,geometry:e,distanceSq:r,callback:i})}},f=[this.replayGroup_];return this.declutterExecutorGroup&&f.push(this.declutterExecutorGroup),f.some((function(n){return s=n.forEachFeatureAtCoordinate(t,l,u,r,p,n===a.declutterExecutorGroup&&e.declutterTree?e.declutterTree.all().map((function(t){return t.value})):null)})),s}},e.prototype.handleFontsChanged=function(){var t=this.getLayer();t.getVisible()&&this.replayGroup_&&t.changed()},e.prototype.handleStyleImageChange_=function(t){this.renderIfReadyAndVisible()},e.prototype.prepareFrame=function(t){var e=this.getLayer(),r=e.getSource();if(!r)return!1;var n=t.viewHints[qa],i=t.viewHints[Ja],o=e.getUpdateWhileAnimating(),a=e.getUpdateWhileInteracting();if(!this.dirty_&&!o&&n||!a&&i)return this.animatingOrInteracting_=!0,!0;this.animatingOrInteracting_=!1;var s=t.extent,l=t.viewState,u=l.projection,h=l.resolution,c=t.pixelRatio,p=e.getRevision(),f=e.getRenderBuffer(),d=e.getRenderOrder();void 0===d&&(d=Es);var _=l.center.slice(),y=Qt(s,f*h),v=y.slice(),m=[y.slice()],x=u.getExtent();if(r.getWrapX()&&u.canWrapX()&&!re(x,t.extent)){var w=be(x),S=Math.max(be(y)/2,w);y[0]=x[0]-S,y[2]=x[2]+S,xr(_,u);var C=function(t,e){var r=e.getExtent(),n=me(t);if(e.canWrapX()&&(n[0]<r[0]||n[0]>=r[2])){var i=be(r),o=Math.floor((n[0]-r[0])/i)*i;t[0]-=o,t[2]-=o}return t}(m[0],u);C[0]<x[0]&&C[2]<x[2]?m.push([C[0]+w,C[1],C[2]+w,C[3]]):C[0]>x[0]&&C[2]>x[2]&&m.push([C[0]-w,C[1],C[2]-w,C[3]])}if(!this.dirty_&&this.renderedResolution_==h&&this.renderedRevision_==p&&this.renderedRenderOrder_==d&&re(this.wrappedRenderedExtent_,y))return g(this.renderedExtent_,v)||(this.hitDetectionImageData_=null,this.renderedExtent_=v),this.renderedCenter_=_,this.replayGroupChanged=!1,!0;this.replayGroup_=null,this.dirty_=!1;var E,T=new xa(bs(h,c),y,h,c);this.getLayer().getDeclutter()&&(E=new xa(bs(h,c),y,h,c));for(var b=0,R=m.length;b<R;++b)r.loadFeatures(m[b],h,u);var P=Ts(h,c),O=function(t){var r,n=t.getStyleFunction()||e.getStyleFunction();if(n&&(r=n(t,h)),r){var i=this.renderFeature(t,P,r,T,undefined,E);this.dirty_=this.dirty_||i}}.bind(this),F=jr(y),I=r.getFeaturesInExtent(F);d&&I.sort(d);for(b=0,R=I.length;b<R;++b)O(I[b]);this.renderedFeatures_=I;var L=T.finish(),M=new Ha(y,h,c,r.getOverlaps(),L,e.getRenderBuffer());return E&&(this.declutterExecutorGroup=new Ha(y,h,c,r.getOverlaps(),E.finish(),e.getRenderBuffer())),this.renderedResolution_=h,this.renderedRevision_=p,this.renderedRenderOrder_=d,this.renderedExtent_=v,this.wrappedRenderedExtent_=y,this.renderedCenter_=_,this.renderedProjection_=u,this.replayGroup_=M,this.hitDetectionImageData_=null,this.replayGroupChanged=!0,!0},e.prototype.renderFeature=function(t,e,r,n,i,o){if(!r)return!1;var a=!1;if(Array.isArray(r))for(var s=0,l=r.length;s<l;++s)a=Rs(n,t,r[s],e,this.boundHandleStyleImageChange_,i,o)||a;else a=Rs(n,t,r,e,this.boundHandleStyleImageChange_,i,o);return a},e}(Pa),Is=Fs,Ls=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof 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function(r,n,i,o,a){var s=this;qs(t,e,r,n,i,(function(t,e){s.addFeatures(t),void 0!==o&&o(t)}),a||v)}}var Qs=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),$s=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.feature=r,i.features=n,i}return Qs(e,t),e}(s),tl=function(t){function e(e){var r=this,n=e||{};(r=t.call(this,{attributions:n.attributions,projection:void 0,state:Eo,wrapX:void 0===n.wrapX||n.wrapX})||this).on,r.once,r.un,r.loader_=v,r.format_=n.format,r.overlaps_=void 0===n.overlaps||n.overlaps,r.url_=n.url,void 0!==n.loader?r.loader_=n.loader:void 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this.featuresCollection_?t=this.featuresCollection_.getArray().slice(0):this.featuresRtree_&&(t=this.featuresRtree_.getAll(),S(this.nullGeometryFeatures_)||d(t,w(this.nullGeometryFeatures_))),t},e.prototype.getFeaturesAtCoordinate=function(t){var e=[];return this.forEachFeatureAtCoordinateDirect(t,(function(t){e.push(t)})),e},e.prototype.getFeaturesInExtent=function(t){return this.featuresRtree_?this.featuresRtree_.getInExtent(t):this.featuresCollection_?this.featuresCollection_.getArray().slice(0):[]},e.prototype.getClosestFeatureToCoordinate=function(t,e){var r=t[0],n=t[1],i=null,o=[NaN,NaN],a=1/0,s=[-1/0,-1/0,1/0,1/0],l=e||_;return this.featuresRtree_.forEachInExtent(s,(function(t){if(l(t)){var e=t.getGeometry(),u=a;if((a=e.closestPointXY(r,n,o,a))<u){i=t;var h=Math.sqrt(a);s[0]=r-h,s[1]=n-h,s[2]=r+h,s[3]=n+h}}})),i},e.prototype.getExtent=function(t){return this.featuresRtree_.getExtent(t)},e.prototype.getFeatureById=function(t){var e=this.idIndex_[t.toString()];return void 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this.map_},r.prototype.renderFrame=function(t){e()},r.prototype.scheduleExpireIconCache=function(t){ls.canExpireCache()&&t.postRenderFunctions.push(vl)},r}(u);function vl(t,e){ls.expire()}var ml=yl,xl=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),wl=function(t){function e(e){var r=t.call(this,e)||this;r.fontChangeListenerKey_=N(ki,l,e.redrawText.bind(e)),r.element_=document.createElement("div");var n=r.element_.style;n.position="absolute",n.width="100%",n.height="100%",n.zIndex="0",r.element_.className="ol-unselectable ol-layers";var i=e.getViewport();return i.insertBefore(r.element_,i.firstChild||null),r.children_=[],r.renderedVisible_=!0,r}return xl(e,t),e.prototype.dispatchRenderEvent=function(t,e){var r=this.getMap();if(r.hasListener(t)){var n=new Ta(t,void 0,e);r.dispatchEvent(n)}},e.prototype.disposeInternal=function(){z(this.fontChangeListenerKey_),this.element_.parentNode.removeChild(this.element_),t.prototype.disposeInternal.call(this)},e.prototype.renderFrame=function(t){if(t){this.calculateMatrices2D(t),this.dispatchRenderEvent(Nn,t);var e=t.layerStatesArray.sort((function(t,e){return t.zIndex-e.zIndex})),r=t.viewState;this.children_.length=0;for(var n=[],i=null,o=0,a=e.length;o<a;++o){var s=e[o];if(t.layerIndex=o,Po(s,r)&&(s.sourceState==Eo||s.sourceState==So)){var l=s.layer,u=l.render(t,i);u&&(u!==i&&(this.children_.push(u),i=u),"getDeclutter"in l&&n.push(l))}}for(o=n.length-1;o>=0;--o)n[o].renderDeclutter(t);!function(t,e){for(var r=t.childNodes,n=0;;++n){var 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Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Kl=function(t){function e(e,r){var n=t.call(this,(function(t){return e.apply(null,t)}),(function(t){return t[0].getKey()}))||this;return n.boundHandleTileChange_=n.handleTileChange.bind(n),n.tileChangeCallback_=r,n.tilesLoading_=0,n.tilesLoadingKeys_={},n}return Yl(e,t),e.prototype.enqueue=function(e){var r=t.prototype.enqueue.call(this,e);r&&e[0].addEventListener(T,this.boundHandleTileChange_);return r},e.prototype.getTilesLoading=function(){return this.tilesLoading_},e.prototype.handleTileChange=function(t){var e=t.target,r=e.getState();if(r===nl||r===il||r===ol){e.removeEventListener(T,this.boundHandleTileChange_);var n=e.getKey();n in this.tilesLoadingKeys_&&(delete this.tilesLoadingKeys_[n],--this.tilesLoading_),this.tileChangeCallback_()}},e.prototype.loadMoreTiles=function(t,e){for(var r,n,i=0;this.tilesLoading_<t&&i<e&&this.getCount()>0;)n=(r=this.dequeue()[0]).getKey(),r.getState()!==el||n in this.tilesLoadingKeys_||(this.tilesLoadingKeys_[n]=!0,++this.tilesLoading_,++i,r.load())},e}(Wl);var Zl={CENTER:"center",RESOLUTION:"resolution",ROTATION:"rotation"},Hl=256;function ql(t,e,r){return function(n,i,o,a,s){if(n){var l=e?0:o[0]*i,u=e?0:o[1]*i,h=s?s[0]:0,c=s?s[1]:0,p=t[0]+l/2+h,f=t[2]-l/2+h,d=t[1]+u/2+c,g=t[3]-u/2+c;p>f&&(f=p=(f+p)/2),d>g&&(g=d=(g+d)/2);var _=Ie(n[0],p,f),y=Ie(n[1],d,g),v=30*i;return a&&r&&(_+=-v*Math.log(1+Math.max(0,p-n[0])/v)+v*Math.log(1+Math.max(0,n[0]-f)/v),y+=-v*Math.log(1+Math.max(0,d-n[1])/v)+v*Math.log(1+Math.max(0,n[1]-g)/v)),[_,y]}}}function Jl(t){return t}function Ql(t,e,r,n){var i=be(e)/r[0],o=Se(e)/r[1];return n?Math.min(t,Math.max(i,o)):Math.min(t,Math.min(i,o))}function $l(t,e,r){var n=Math.min(t,e);return n*=Math.log(1+50*Math.max(0,t/e-1))/50+1,r&&(n=Math.max(n,r),n/=Math.log(1+50*Math.max(0,r/t-1))/50+1),Ie(n,r/2,2*e)}function tu(t,e,r,n,i){return function(o,a,s,l){if(void 0!==o){var u=n?Ql(t,n,s,i):t;return(void 0===r||r)&&l?$l(o,u,e):Ie(o,e,u)}}}function eu(t){return void 0!==t?0:void 0}function ru(t){return void 0!==t?t:void 0}var nu=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),iu=function(t){function e(e){var r=t.call(this)||this;r.on,r.once,r.un;var n=m({},e);return r.hints_=[0,0],r.animations_=[],r.updateAnimationKey_,r.projection_=Rr(n.projection,"EPSG:3857"),r.viewportSize_=[100,100],r.targetCenter_=null,r.targetResolution_,r.targetRotation_,r.nextCenter_=null,r.nextResolution_,r.nextRotation_,r.cancelAnchor_=void 0,n.center&&(n.center=kr(n.center,r.projection_)),n.extent&&(n.extent=Gr(n.extent,r.projection_)),r.applyOptions_(n),r}return nu(e,t),e.prototype.applyOptions_=function(t){var e=m({},t);for(var r in Zl)delete e[r];this.setProperties(e,!0);var n=function(t){var e,r,n,i=28,o=2,a=void 0!==t.minZoom?t.minZoom:0,s=void 0!==t.maxZoom?t.maxZoom:i,l=void 0!==t.zoomFactor?t.zoomFactor:o,u=void 0!==t.multiWorld&&t.multiWorld,h=void 0===t.smoothResolutionConstraint||t.smoothResolutionConstraint,c=void 0!==t.showFullExtent&&t.showFullExtent,f=Rr(t.projection,"EPSG:3857"),d=f.getExtent(),g=t.constrainOnlyCenter,_=t.extent;u||_||!f.isGlobal()||(g=!1,_=d);if(void 0!==t.resolutions){var y=t.resolutions;r=y[a],n=void 0!==y[s]?y[s]:y[y.length-1],e=t.constrainResolution?function(t,e,r,n){return function(i,o,a,s){if(void 0!==i){var l=t[0],u=t[t.length-1],h=r?Ql(l,r,a,n):l;if(s)return void 0===e||e?$l(i,h,u):Ie(i,u,h);var c=Math.min(h,i),f=Math.floor(p(t,c,o));return t[f]>h&&f<t.length-1?t[f+1]:t[f]}}}(y,h,!g&&_,c):tu(r,n,h,!g&&_,c)}else{var v=(d?Math.max(be(d),Se(d)):360*wt[St.DEGREES]/f.getMetersPerUnit())/Hl/Math.pow(o,0),m=v/Math.pow(o,i-0);void 0!==(r=t.maxResolution)?a=0:r=v/Math.pow(l,a),void 0===(n=t.minResolution)&&(n=void 0!==t.maxZoom?void 0!==t.maxResolution?r/Math.pow(l,s):v/Math.pow(l,s):m),s=a+Math.floor(Math.log(r/n)/Math.log(l)),n=r/Math.pow(l,s-a),e=t.constrainResolution?function(t,e,r,n,i,o){return function(a,s,l,u){if(void 0!==a){var h=i?Ql(e,i,l,o):e,c=void 0!==r?r:0;if(u)return void 0===n||n?$l(a,h,c):Ie(a,c,h);var p=Math.ceil(Math.log(e/h)/Math.log(t)-1e-9),f=-s*(.5-1e-9)+.5,d=Math.min(h,a),g=Math.floor(Math.log(e/d)/Math.log(t)+f),_=Math.max(p,g);return Ie(e/Math.pow(t,_),c,h)}}}(l,r,n,h,!g&&_,c):tu(r,n,h,!g&&_,c)}return{constraint:e,maxResolution:r,minResolution:n,minZoom:a,zoomFactor:l}}(t);this.maxResolution_=n.maxResolution,this.minResolution_=n.minResolution,this.zoomFactor_=n.zoomFactor,this.resolutions_=t.resolutions,this.padding_=t.padding,this.minZoom_=n.minZoom;var i=function(t){if(void 0!==t.extent){var e=void 0===t.smoothExtentConstraint||t.smoothExtentConstraint;return ql(t.extent,t.constrainOnlyCenter,e)}var r=Rr(t.projection,"EPSG:3857");if(!0!==t.multiWorld&&r.isGlobal()){var n=r.getExtent().slice();return n[0]=-1/0,n[2]=1/0,ql(n,!1,!1)}return Jl}(t),o=n.constraint,a=function(t){if(void 0===t.enableRotation||t.enableRotation){var e=t.constrainRotation;return void 0===e||!0===e?(o=i||je(5),function(t,e){return e?t:void 0!==t?Math.abs(t)<=o?0:t:void 0}):!1===e?ru:"number"==typeof e?(r=e,n=2*Math.PI/r,function(t,e){return e?t:void 0!==t?t=Math.floor(t/n+.5)*n:void 0}):ru}return eu;var r,n;var i,o}(t);this.constraints_={center:i,resolution:o,rotation:a},this.setRotation(void 0!==t.rotation?t.rotation:0),this.setCenterInternal(void 0!==t.center?t.center:null),void 0!==t.resolution?this.setResolution(t.resolution):void 0!==t.zoom&&this.setZoom(t.zoom)},Object.defineProperty(e.prototype,"padding",{get:function(){return this.padding_},set:function(t){var e=this.padding_;this.padding_=t;var r=this.getCenter();if(r){var n=t||[0,0,0,0];e=e||[0,0,0,0];var i=this.getResolution(),o=i/2*(n[3]-e[3]+e[1]-n[1]),a=i/2*(n[0]-e[0]+e[2]-n[2]);this.setCenterInternal([r[0]+o,r[1]-a])}},enumerable:!1,configurable:!0}),e.prototype.getUpdatedOptions_=function(t){var e=this.getProperties();return void 0!==e.resolution?e.resolution=this.getResolution():e.zoom=this.getZoom(),e.center=this.getCenterInternal(),e.rotation=this.getRotation(),m({},e,t)},e.prototype.animate=function(t){this.isDef()&&!this.getAnimating()&&this.resolveConstraints(0);for(var e=new Array(arguments.length),r=0;r<e.length;++r){var n=arguments[r];n.center&&((n=m({},n)).center=kr(n.center,this.getProjection())),n.anchor&&((n=m({},n)).anchor=kr(n.anchor,this.getProjection())),e[r]=n}this.animateInternal.apply(this,e)},e.prototype.animateInternal=function(t){var e,r=arguments.length;r>1&&"function"==typeof arguments[r-1]&&(e=arguments[r-1],--r);for(var n=0;n<r&&!this.isDef();++n){var i=arguments[n];i.center&&this.setCenterInternal(i.center),void 0!==i.zoom?this.setZoom(i.zoom):i.resolution&&this.setResolution(i.resolution),void 0!==i.rotation&&this.setRotation(i.rotation)}if(n!==r){for(var o=Date.now(),a=this.targetCenter_.slice(),s=this.targetResolution_,l=this.targetRotation_,u=[];n<r;++n){var h=arguments[n],c={start:o,complete:!1,anchor:h.anchor,duration:void 0!==h.duration?h.duration:1e3,easing:h.easing||ll,callback:e};if(h.center&&(c.sourceCenter=a,c.targetCenter=h.center.slice(),a=c.targetCenter),void 0!==h.zoom?(c.sourceResolution=s,c.targetResolution=this.getResolutionForZoom(h.zoom),s=c.targetResolution):h.resolution&&(c.sourceResolution=s,c.targetResolution=h.resolution,s=c.targetResolution),void 0!==h.rotation){c.sourceRotation=l;var p=Ge(h.rotation-l+Math.PI,2*Math.PI)-Math.PI;c.targetRotation=l+p,l=c.targetRotation}au(c)?c.complete=!0:o+=c.duration,u.push(c)}this.animations_.push(u),this.setHint(qa,1),this.updateAnimations_()}else e&&ou(e,!0)},e.prototype.getAnimating=function(){return this.hints_[qa]>0},e.prototype.getInteracting=function(){return this.hints_[Ja]>0},e.prototype.cancelAnimations=function(){var t;this.setHint(qa,-this.hints_[qa]);for(var e=0,r=this.animations_.length;e<r;++e){var n=this.animations_[e];if(n[0].callback&&ou(n[0].callback,!1),!t)for(var i=0,o=n.length;i<o;++i){var a=n[i];if(!a.complete){t=a.anchor;break}}}this.animations_.length=0,this.cancelAnchor_=t,this.nextCenter_=null,this.nextResolution_=NaN,this.nextRotation_=NaN},e.prototype.updateAnimations_=function(){if(void 0!==this.updateAnimationKey_&&(cancelAnimationFrame(this.updateAnimationKey_),this.updateAnimationKey_=void 0),this.getAnimating()){for(var t=Date.now(),e=!1,r=this.animations_.length-1;r>=0;--r){for(var n=this.animations_[r],i=!0,o=0,a=n.length;o<a;++o){var s=n[o];if(!s.complete){var l=t-s.start,u=s.duration>0?l/s.duration:1;u>=1?(s.complete=!0,u=1):i=!1;var h=s.easing(u);if(s.sourceCenter){var c=s.sourceCenter[0],p=s.sourceCenter[1],f=s.targetCenter[0],d=s.targetCenter[1];this.nextCenter_=s.targetCenter;var g=c+h*(f-c),_=p+h*(d-p);this.targetCenter_=[g,_]}if(s.sourceResolution&&s.targetResolution){var y=1===h?s.targetResolution:s.sourceResolution+h*(s.targetResolution-s.sourceResolution);if(s.anchor){var v=this.getViewportSize_(this.getRotation()),m=this.constraints_.resolution(y,0,v,!0);this.targetCenter_=this.calculateCenterZoom(m,s.anchor)}this.nextResolution_=s.targetResolution,this.targetResolution_=y,this.applyTargetState_(!0)}if(void 0!==s.sourceRotation&&void 0!==s.targetRotation){var x=1===h?Ge(s.targetRotation+Math.PI,2*Math.PI)-Math.PI:s.sourceRotation+h*(s.targetRotation-s.sourceRotation);if(s.anchor){var w=this.constraints_.rotation(x,!0);this.targetCenter_=this.calculateCenterRotate(w,s.anchor)}this.nextRotation_=s.targetRotation,this.targetRotation_=x}if(this.applyTargetState_(!0),e=!0,!s.complete)break}}if(i){this.animations_[r]=null,this.setHint(qa,-1),this.nextCenter_=null,this.nextResolution_=NaN,this.nextRotation_=NaN;var S=n[0].callback;S&&ou(S,!0)}}this.animations_=this.animations_.filter(Boolean),e&&void 0===this.updateAnimationKey_&&(this.updateAnimationKey_=requestAnimationFrame(this.updateAnimations_.bind(this)))}},e.prototype.calculateCenterRotate=function(t,e){var r,n,i,o=this.getCenterInternal();return void 0!==o&&(_r(r=[o[0]-e[0],o[1]-e[1]],t-this.getRotation()),i=e,(n=r)[0]+=+i[0],n[1]+=+i[1]),r},e.prototype.calculateCenterZoom=function(t,e){var r,n=this.getCenterInternal(),i=this.getResolution();void 0!==n&&void 0!==i&&(r=[e[0]-t*(e[0]-n[0])/i,e[1]-t*(e[1]-n[1])/i]);return r},e.prototype.getViewportSize_=function(t){var e=this.viewportSize_;if(t){var r=e[0],n=e[1];return[Math.abs(r*Math.cos(t))+Math.abs(n*Math.sin(t)),Math.abs(r*Math.sin(t))+Math.abs(n*Math.cos(t))]}return e},e.prototype.setViewportSize=function(t){this.viewportSize_=Array.isArray(t)?t.slice():[100,100],this.getAnimating()||this.resolveConstraints(0)},e.prototype.getCenter=function(){var t=this.getCenterInternal();return t?Dr(t,this.getProjection()):t},e.prototype.getCenterInternal=function(){return this.get(Zl.CENTER)},e.prototype.getConstraints=function(){return this.constraints_},e.prototype.getConstrainResolution=function(){return this.get("constrainResolution")},e.prototype.getHints=function(t){return void 0!==t?(t[0]=this.hints_[0],t[1]=this.hints_[1],t):this.hints_.slice()},e.prototype.calculateExtent=function(t){return jr(this.calculateExtentInternal(t),this.getProjection())},e.prototype.calculateExtentInternal=function(t){var e=t||this.getViewportSizeMinusPadding_(),r=this.getCenterInternal();nt(r,1);var n=this.getResolution();nt(void 0!==n,2);var i=this.getRotation();return nt(void 0!==i,3),we(r,n,i,e)},e.prototype.getMaxResolution=function(){return this.maxResolution_},e.prototype.getMinResolution=function(){return this.minResolution_},e.prototype.getMaxZoom=function(){return this.getZoomForResolution(this.minResolution_)},e.prototype.setMaxZoom=function(t){this.applyOptions_(this.getUpdatedOptions_({maxZoom:t}))},e.prototype.getMinZoom=function(){return this.getZoomForResolution(this.maxResolution_)},e.prototype.setMinZoom=function(t){this.applyOptions_(this.getUpdatedOptions_({minZoom:t}))},e.prototype.setConstrainResolution=function(t){this.applyOptions_(this.getUpdatedOptions_({constrainResolution:t}))},e.prototype.getProjection=function(){return this.projection_},e.prototype.getResolution=function(){return this.get(Zl.RESOLUTION)},e.prototype.getResolutions=function(){return this.resolutions_},e.prototype.getResolutionForExtent=function(t,e){return this.getResolutionForExtentInternal(Gr(t,this.getProjection()),e)},e.prototype.getResolutionForExtentInternal=function(t,e){var r=e||this.getViewportSizeMinusPadding_(),n=be(t)/r[0],i=Se(t)/r[1];return Math.max(n,i)},e.prototype.getResolutionForValueFunction=function(t){var e=t||2,r=this.getConstrainedResolution(this.maxResolution_),n=this.minResolution_,i=Math.log(r/n)/Math.log(e);return function(t){return r/Math.pow(e,t*i)}},e.prototype.getRotation=function(){return this.get(Zl.ROTATION)},e.prototype.getValueForResolutionFunction=function(t){var e=Math.log(t||2),r=this.getConstrainedResolution(this.maxResolution_),n=this.minResolution_,i=Math.log(r/n)/e;return function(t){return Math.log(r/t)/e/i}},e.prototype.getViewportSizeMinusPadding_=function(t){var e=this.getViewportSize_(t),r=this.padding_;return r&&(e=[e[0]-r[1]-r[3],e[1]-r[0]-r[2]]),e},e.prototype.getState=function(){var t=this.getProjection(),e=this.getResolution(),r=this.getRotation(),n=this.getCenterInternal(),i=this.padding_;if(i){var o=this.getViewportSizeMinusPadding_();n=su(n,this.getViewportSize_(),[o[0]/2+i[3],o[1]/2+i[0]],e,r)}return{center:n.slice(0),projection:void 0!==t?t:null,resolution:e,nextCenter:this.nextCenter_,nextResolution:this.nextResolution_,nextRotation:this.nextRotation_,rotation:r,zoom:this.getZoom()}},e.prototype.getZoom=function(){var t,e=this.getResolution();return void 0!==e&&(t=this.getZoomForResolution(e)),t},e.prototype.getZoomForResolution=function(t){var e,r,n=this.minZoom_||0;if(this.resolutions_){var i=p(this.resolutions_,t,1);n=i,e=this.resolutions_[i],r=i==this.resolutions_.length-1?2:e/this.resolutions_[i+1]}else e=this.maxResolution_,r=this.zoomFactor_;return n+Math.log(e/t)/Math.log(r)},e.prototype.getResolutionForZoom=function(t){if(this.resolutions_){if(this.resolutions_.length<=1)return 0;var e=Ie(Math.floor(t),0,this.resolutions_.length-2),r=this.resolutions_[e]/this.resolutions_[e+1];return this.resolutions_[e]/Math.pow(r,Ie(t-e,0,1))}return this.maxResolution_/Math.pow(this.zoomFactor_,t-this.minZoom_)},e.prototype.fit=function(t,e){var r;if(nt(Array.isArray(t)||"function"==typeof t.getSimplifiedGeometry,24),Array.isArray(t))nt(!Pe(t),25),r=Dn(n=Gr(t,this.getProjection()));else if(t.getType()===mt){var n;(r=Dn(n=Gr(t.getExtent(),this.getProjection()))).rotate(this.getRotation(),me(n))}else{r=t}this.fitInternal(r,e)},e.prototype.rotatedExtentForGeometry=function(t){for(var e=this.getRotation(),r=Math.cos(e),n=Math.sin(-e),i=t.getFlatCoordinates(),o=t.getStride(),a=1/0,s=1/0,l=-1/0,u=-1/0,h=0,c=i.length;h<c;h+=o){var p=i[h]*r-i[h+1]*n,f=i[h]*n+i[h+1]*r;a=Math.min(a,p),s=Math.min(s,f),l=Math.max(l,p),u=Math.max(u,f)}return[a,s,l,u]},e.prototype.fitInternal=function(t,e){var r=e||{},n=r.size;n||(n=this.getViewportSizeMinusPadding_());var i,o=void 0!==r.padding?r.padding:[0,0,0,0],a=void 0!==r.nearest&&r.nearest;i=void 0!==r.minResolution?r.minResolution:void 0!==r.maxZoom?this.getResolutionForZoom(r.maxZoom):0;var s=this.rotatedExtentForGeometry(t),l=this.getResolutionForExtentInternal(s,[n[0]-o[1]-o[3],n[1]-o[0]-o[2]]);l=isNaN(l)?i:Math.max(l,i),l=this.getConstrainedResolution(l,a?0:1);var u=this.getRotation(),h=Math.sin(u),c=Math.cos(u),p=me(s);p[0]+=(o[1]-o[3])/2*l,p[1]+=(o[0]-o[2])/2*l;var f=p[0]*c-p[1]*h,d=p[1]*c+p[0]*h,g=this.getConstrainedCenter([f,d],l),_=r.callback?r.callback:v;void 0!==r.duration?this.animateInternal({resolution:l,center:g,duration:r.duration,easing:r.easing},_):(this.targetResolution_=l,this.targetCenter_=g,this.applyTargetState_(!1,!0),ou(_,!0))},e.prototype.centerOn=function(t,e,r){this.centerOnInternal(kr(t,this.getProjection()),e,r)},e.prototype.centerOnInternal=function(t,e,r){this.setCenterInternal(su(t,e,r,this.getResolution(),this.getRotation()))},e.prototype.calculateCenterShift=function(t,e,r,n){var i,o=this.padding_;if(o&&t){var a=this.getViewportSizeMinusPadding_(-r),s=su(t,n,[a[0]/2+o[3],a[1]/2+o[0]],e,r);i=[t[0]-s[0],t[1]-s[1]]}return i},e.prototype.isDef=function(){return!!this.getCenterInternal()&&void 0!==this.getResolution()},e.prototype.adjustCenter=function(t){var e=Dr(this.targetCenter_,this.getProjection());this.setCenter([e[0]+t[0],e[1]+t[1]])},e.prototype.adjustCenterInternal=function(t){var e=this.targetCenter_;this.setCenterInternal([e[0]+t[0],e[1]+t[1]])},e.prototype.adjustResolution=function(t,e){var r=e&&kr(e,this.getProjection());this.adjustResolutionInternal(t,r)},e.prototype.adjustResolutionInternal=function(t,e){var r=this.getAnimating()||this.getInteracting(),n=this.getViewportSize_(this.getRotation()),i=this.constraints_.resolution(this.targetResolution_*t,0,n,r);e&&(this.targetCenter_=this.calculateCenterZoom(i,e)),this.targetResolution_*=t,this.applyTargetState_()},e.prototype.adjustZoom=function(t,e){this.adjustResolution(Math.pow(this.zoomFactor_,-t),e)},e.prototype.adjustRotation=function(t,e){e&&(e=kr(e,this.getProjection())),this.adjustRotationInternal(t,e)},e.prototype.adjustRotationInternal=function(t,e){var r=this.getAnimating()||this.getInteracting(),n=this.constraints_.rotation(this.targetRotation_+t,r);e&&(this.targetCenter_=this.calculateCenterRotate(n,e)),this.targetRotation_+=t,this.applyTargetState_()},e.prototype.setCenter=function(t){this.setCenterInternal(kr(t,this.getProjection()))},e.prototype.setCenterInternal=function(t){this.targetCenter_=t,this.applyTargetState_()},e.prototype.setHint=function(t,e){return this.hints_[t]+=e,this.changed(),this.hints_[t]},e.prototype.setResolution=function(t){this.targetResolution_=t,this.applyTargetState_()},e.prototype.setRotation=function(t){this.targetRotation_=t,this.applyTargetState_()},e.prototype.setZoom=function(t){this.setResolution(this.getResolutionForZoom(t))},e.prototype.applyTargetState_=function(t,e){var r=this.getAnimating()||this.getInteracting()||e,n=this.constraints_.rotation(this.targetRotation_,r),i=this.getViewportSize_(n),o=this.constraints_.resolution(this.targetResolution_,0,i,r),a=this.constraints_.center(this.targetCenter_,o,i,r,this.calculateCenterShift(this.targetCenter_,o,n,i));this.get(Zl.ROTATION)!==n&&this.set(Zl.ROTATION,n),this.get(Zl.RESOLUTION)!==o&&(this.set(Zl.RESOLUTION,o),this.set("zoom",this.getZoom(),!0)),a&&this.get(Zl.CENTER)&&gr(this.get(Zl.CENTER),a)||this.set(Zl.CENTER,a),this.getAnimating()&&!t&&this.cancelAnimations(),this.cancelAnchor_=void 0},e.prototype.resolveConstraints=function(t,e,r){var n=void 0!==t?t:200,i=e||0,o=this.constraints_.rotation(this.targetRotation_),a=this.getViewportSize_(o),s=this.constraints_.resolution(this.targetResolution_,i,a),l=this.constraints_.center(this.targetCenter_,s,a,!1,this.calculateCenterShift(this.targetCenter_,s,o,a));if(0===n&&!this.cancelAnchor_)return this.targetResolution_=s,this.targetRotation_=o,this.targetCenter_=l,void this.applyTargetState_();var u=r||(0===n?this.cancelAnchor_:void 0);this.cancelAnchor_=void 0,this.getResolution()===s&&this.getRotation()===o&&this.getCenterInternal()&&gr(this.getCenterInternal(),l)||(this.getAnimating()&&this.cancelAnimations(),this.animateInternal({rotation:o,center:l,resolution:s,duration:n,easing:sl,anchor:u}))},e.prototype.beginInteraction=function(){this.resolveConstraints(0),this.setHint(Ja,1)},e.prototype.endInteraction=function(t,e,r){var n=r&&kr(r,this.getProjection());this.endInteractionInternal(t,e,n)},e.prototype.endInteractionInternal=function(t,e,r){this.setHint(Ja,-1),this.resolveConstraints(t,e,r)},e.prototype.getConstrainedCenter=function(t,e){var r=this.getViewportSize_(this.getRotation());return this.constraints_.center(t,e||this.getResolution(),r)},e.prototype.getConstrainedZoom=function(t,e){var r=this.getResolutionForZoom(t);return this.getZoomForResolution(this.getConstrainedResolution(r,e))},e.prototype.getConstrainedResolution=function(t,e){var r=e||0,n=this.getViewportSize_(this.getRotation());return this.constraints_.resolution(t,r,n)},e}(q);function ou(t,e){setTimeout((function(){t(e)}),0)}function au(t){return!(t.sourceCenter&&t.targetCenter&&!gr(t.sourceCenter,t.targetCenter))&&(t.sourceResolution===t.targetResolution&&t.sourceRotation===t.targetRotation)}function su(t,e,r,n,i){var o=Math.cos(-i),a=Math.sin(-i),s=t[0]*o-t[1]*a,l=t[1]*o+t[0]*a;return[(s+=(e[0]/2-r[0])*n)*o-(l+=(r[1]-e[1]/2)*n)*(a=-a),l*o+s*a]}var lu=iu,uu=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}();function hu(t){t instanceof Oo?t.setMapInternal(null):t instanceof bl&&t.getLayers().forEach(hu)}function cu(t,e){if(t instanceof Oo)t.setMapInternal(e);else if(t instanceof bl)for(var r=t.getLayers().getArray(),n=0,i=r.length;n<i;++n)cu(r[n],e)}var pu=function(t){function e(e){var r=t.call(this)||this;r.on,r.once,r.un;var n=function(t){var e=null;void 0!==t.keyboardEventTarget&&(e="string"==typeof t.keyboardEventTarget?document.getElementById(t.keyboardEventTarget):t.keyboardEventTarget);var r,n,i,o={},a=t.layers&&"function"==typeof t.layers.getLayers?t.layers:new bl({layers:t.layers});o[Bl]=a,o[Ul]=t.target,o[Vl]=t.view instanceof lu?t.view:new lu,void 0!==t.controls&&(Array.isArray(t.controls)?r=new rt(t.controls.slice()):(nt("function"==typeof t.controls.getArray,47),r=t.controls));void 0!==t.interactions&&(Array.isArray(t.interactions)?n=new rt(t.interactions.slice()):(nt("function"==typeof t.interactions.getArray,48),n=t.interactions));void 0!==t.overlays?Array.isArray(t.overlays)?i=new rt(t.overlays.slice()):(nt("function"==typeof t.overlays.getArray,49),i=t.overlays):i=new rt;return{controls:r,interactions:n,keyboardEventTarget:e,overlays:i,values:o}}(e);r.renderComplete_,r.boundHandleBrowserEvent_=r.handleBrowserEvent.bind(r),r.maxTilesLoading_=void 0!==e.maxTilesLoading?e.maxTilesLoading:16,r.pixelRatio_=void 0!==e.pixelRatio?e.pixelRatio:Pt,r.postRenderTimeoutHandle_,r.animationDelayKey_,r.animationDelay_=function(){this.animationDelayKey_=void 0,this.renderFrame_(Date.now())}.bind(r),r.coordinateToPixelTransform_=[1,0,0,1,0,0],r.pixelToCoordinateTransform_=[1,0,0,1,0,0],r.frameIndex_=0,r.frameState_=null,r.previousExtent_=null,r.viewPropertyListenerKey_=null,r.viewChangeListenerKey_=null,r.layerGroupPropertyListenerKeys_=null,r.viewport_=document.createElement("div"),r.viewport_.className="ol-viewport"+("ontouchstart"in window?" ol-touch":""),r.viewport_.style.position="relative",r.viewport_.style.overflow="hidden",r.viewport_.style.width="100%",r.viewport_.style.height="100%",r.overlayContainer_=document.createElement("div"),r.overlayContainer_.style.position="absolute",r.overlayContainer_.style.zIndex="0",r.overlayContainer_.style.width="100%",r.overlayContainer_.style.height="100%",r.overlayContainer_.style.pointerEvents="none",r.overlayContainer_.className="ol-overlaycontainer",r.viewport_.appendChild(r.overlayContainer_),r.overlayContainerStopEvent_=document.createElement("div"),r.overlayContainerStopEvent_.style.position="absolute",r.overlayContainerStopEvent_.style.zIndex="0",r.overlayContainerStopEvent_.style.width="100%",r.overlayContainerStopEvent_.style.height="100%",r.overlayContainerStopEvent_.style.pointerEvents="none",r.overlayContainerStopEvent_.className="ol-overlaycontainer-stopevent",r.viewport_.appendChild(r.overlayContainerStopEvent_),r.mapBrowserEventHandler_=null,r.moveTolerance_=e.moveTolerance,r.keyboardEventTarget_=n.keyboardEventTarget,r.targetChangeHandlerKeys_=null,r.controls=n.controls||new rt,r.interactions=n.interactions||new rt,r.overlays_=n.overlays,r.overlayIdIndex_={},r.renderer_=null,r.postRenderFunctions_=[],r.tileQueue_=new Kl(r.getTilePriority.bind(r),r.handleTileChange_.bind(r)),r.addChangeListener(Bl,r.handleLayerGroupChanged_),r.addChangeListener(Vl,r.handleViewChanged_),r.addChangeListener(zl,r.handleSizeChanged_),r.addChangeListener(Ul,r.handleTargetChanged_),r.setProperties(n.values);var i=r;return!e.view||e.view instanceof lu||e.view.then((function(t){i.setView(new lu(t))})),r.controls.addEventListener(J,function(t){t.element.setMap(this)}.bind(r)),r.controls.addEventListener(Q,function(t){t.element.setMap(null)}.bind(r)),r.interactions.addEventListener(J,function(t){t.element.setMap(this)}.bind(r)),r.interactions.addEventListener(Q,function(t){t.element.setMap(null)}.bind(r)),r.overlays_.addEventListener(J,function(t){this.addOverlayInternal_(t.element)}.bind(r)),r.overlays_.addEventListener(Q,function(t){var e=t.element.getId();void 0!==e&&delete this.overlayIdIndex_[e.toString()],t.element.setMap(null)}.bind(r)),r.controls.forEach(function(t){t.setMap(this)}.bind(r)),r.interactions.forEach(function(t){t.setMap(this)}.bind(r)),r.overlays_.forEach(r.addOverlayInternal_.bind(r)),r}return uu(e,t),e.prototype.createRenderer=function(){throw new Error("Use a map type that has a createRenderer method")},e.prototype.addControl=function(t){this.getControls().push(t)},e.prototype.addInteraction=function(t){this.getInteractions().push(t)},e.prototype.addLayer=function(t){this.getLayerGroup().getLayers().push(t)},e.prototype.handleLayerAdd_=function(t){cu(t.layer,this)},e.prototype.addOverlay=function(t){this.getOverlays().push(t)},e.prototype.addOverlayInternal_=function(t){var e=t.getId();void 0!==e&&(this.overlayIdIndex_[e.toString()]=t),t.setMap(this)},e.prototype.disposeInternal=function(){this.setTarget(null),t.prototype.disposeInternal.call(this)},e.prototype.forEachFeatureAtPixel=function(t,e,r){if(this.frameState_){var n=this.getCoordinateFromPixelInternal(t),i=void 0!==(r=void 0!==r?r:{}).hitTolerance?r.hitTolerance:0,o=void 0!==r.layerFilter?r.layerFilter:_,a=!1!==r.checkWrapped;return this.renderer_.forEachFeatureAtCoordinate(n,this.frameState_,i,a,e,null,o,null)}},e.prototype.getFeaturesAtPixel=function(t,e){var r=[];return this.forEachFeatureAtPixel(t,(function(t){r.push(t)}),e),r},e.prototype.getAllLayers=function(){var t=[];return function e(r){r.forEach((function(r){r instanceof bl?e(r.getLayers()):t.push(r)}))}(this.getLayers()),t},e.prototype.forEachLayerAtPixel=function(t,e,r){if(this.frameState_){var n=r||{},i=void 0!==n.hitTolerance?n.hitTolerance:0,o=n.layerFilter||_;return this.renderer_.forEachLayerAtPixel(t,this.frameState_,i,e,o)}},e.prototype.hasFeatureAtPixel=function(t,e){if(!this.frameState_)return!1;var r=this.getCoordinateFromPixelInternal(t),n=void 0!==(e=void 0!==e?e:{}).layerFilter?e.layerFilter:_,i=void 0!==e.hitTolerance?e.hitTolerance:0,o=!1!==e.checkWrapped;return this.renderer_.hasFeatureAtCoordinate(r,this.frameState_,i,o,n,null)},e.prototype.getEventCoordinate=function(t){return this.getCoordinateFromPixel(this.getEventPixel(t))},e.prototype.getEventCoordinateInternal=function(t){return this.getCoordinateFromPixelInternal(this.getEventPixel(t))},e.prototype.getEventPixel=function(t){var e=this.viewport_.getBoundingClientRect(),r="changedTouches"in t?t.changedTouches[0]:t;return[r.clientX-e.left,r.clientY-e.top]},e.prototype.getTarget=function(){return this.get(Ul)},e.prototype.getTargetElement=function(){var t=this.getTarget();return void 0!==t?"string"==typeof t?document.getElementById(t):t:null},e.prototype.getCoordinateFromPixel=function(t){return Dr(this.getCoordinateFromPixelInternal(t),this.getView().getProjection())},e.prototype.getCoordinateFromPixelInternal=function(t){var e=this.frameState_;return e?kt(e.pixelToCoordinateTransform,t.slice()):null},e.prototype.getControls=function(){return this.controls},e.prototype.getOverlays=function(){return this.overlays_},e.prototype.getOverlayById=function(t){var e=this.overlayIdIndex_[t.toString()];return void 0!==e?e:null},e.prototype.getInteractions=function(){return this.interactions},e.prototype.getLayerGroup=function(){return this.get(Bl)},e.prototype.setLayers=function(t){var e=this.getLayerGroup();if(t instanceof rt)e.setLayers(t);else{var r=e.getLayers();r.clear(),r.extend(t)}},e.prototype.getLayers=function(){return this.getLayerGroup().getLayers()},e.prototype.getLoading=function(){for(var t=this.getLayerGroup().getLayerStatesArray(),e=0,r=t.length;e<r;++e){var n=t[e].layer.getSource();if(n&&n.loading)return!0}return!1},e.prototype.getPixelFromCoordinate=function(t){var e=kr(t,this.getView().getProjection());return this.getPixelFromCoordinateInternal(e)},e.prototype.getPixelFromCoordinateInternal=function(t){var e=this.frameState_;return e?kt(e.coordinateToPixelTransform,t.slice(0,2)):null},e.prototype.getRenderer=function(){return this.renderer_},e.prototype.getSize=function(){return this.get(zl)},e.prototype.getView=function(){return this.get(Vl)},e.prototype.getViewport=function(){return this.viewport_},e.prototype.getOverlayContainer=function(){return this.overlayContainer_},e.prototype.getOverlayContainerStopEvent=function(){return this.overlayContainerStopEvent_},e.prototype.getOwnerDocument=function(){var t=this.getTargetElement();return t?t.ownerDocument:document},e.prototype.getTilePriority=function(t,e,r,n){return function(t,e,r,n,i){if(!t||!(r in t.wantedTiles))return Xl;if(!t.wantedTiles[r][e.getKey()])return Xl;var o=t.viewState.center,a=n[0]-o[0],s=n[1]-o[1];return 65536*Math.log(i)+Math.sqrt(a*a+s*s)/i}(this.frameState_,t,e,r,n)},e.prototype.handleBrowserEvent=function(t,e){var r=e||t.type,n=new Il(r,this,t);this.handleMapBrowserEvent(n)},e.prototype.handleMapBrowserEvent=function(t){if(this.frameState_){var e=t.originalEvent,r=e.type;if(r===Al||r===G||r===M){var n=this.getOwnerDocument(),i=this.viewport_.getRootNode?this.viewport_.getRootNode():n,o=e.target;if(this.overlayContainerStopEvent_.contains(o)||!(i===n?n.documentElement:i).contains(o))return}if(t.frameState=this.frameState_,!1!==this.dispatchEvent(t))for(var a=this.getInteractions().getArray().slice(),s=a.length-1;s>=0;s--){var l=a[s];if(l.getMap()===this&&l.getActive()&&this.getTargetElement())if(!l.handleEvent(t)||t.propagationStopped)break}}},e.prototype.handlePostRender=function(){var t=this.frameState_,e=this.tileQueue_;if(!e.isEmpty()){var r=this.maxTilesLoading_,n=r;if(t){var i=t.viewHints;if(i[qa]||i[Ja]){var o=Date.now()-t.time>8;r=o?0:8,n=o?0:2}}e.getTilesLoading()<r&&(e.reprioritize(),e.loadMoreTiles(r,n))}t&&this.hasListener(zn)&&!t.animate&&this.renderComplete_&&this.renderer_.dispatchRenderEvent(zn,t);for(var a=this.postRenderFunctions_,s=0,l=a.length;s<l;++s)a[s](this,t);a.length=0},e.prototype.handleSizeChanged_=function(){this.getView()&&!this.getView().getAnimating()&&this.getView().resolveConstraints(0),this.render()},e.prototype.handleTargetChanged_=function(){if(this.mapBrowserEventHandler_){for(var t=0,e=this.targetChangeHandlerKeys_.length;t<e;++t)z(this.targetChangeHandlerKeys_[t]);this.targetChangeHandlerKeys_=null,this.viewport_.removeEventListener(R,this.boundHandleBrowserEvent_),this.viewport_.removeEventListener(G,this.boundHandleBrowserEvent_),this.mapBrowserEventHandler_.dispose(),this.mapBrowserEventHandler_=null,vi(this.viewport_)}var r=this.getTargetElement();if(r){for(var n in r.appendChild(this.viewport_),this.renderer_||(this.renderer_=this.createRenderer()),this.mapBrowserEventHandler_=new kl(this,this.moveTolerance_),Ll)this.mapBrowserEventHandler_.addEventListener(Ll[n],this.handleMapBrowserEvent.bind(this));this.viewport_.addEventListener(R,this.boundHandleBrowserEvent_,!1),this.viewport_.addEventListener(G,this.boundHandleBrowserEvent_,!!It&&{passive:!1});var i=this.getOwnerDocument().defaultView,o=this.keyboardEventTarget_?this.keyboardEventTarget_:r;this.targetChangeHandlerKeys_=[N(o,M,this.handleBrowserEvent,this),N(o,A,this.handleBrowserEvent,this),N(i,k,this.updateSize,this)]}else this.renderer_&&(clearTimeout(this.postRenderTimeoutHandle_),this.postRenderTimeoutHandle_=void 0,this.postRenderFunctions_.length=0,this.renderer_.dispose(),this.renderer_=null),this.animationDelayKey_&&(cancelAnimationFrame(this.animationDelayKey_),this.animationDelayKey_=void 0);this.updateSize()},e.prototype.handleTileChange_=function(){this.render()},e.prototype.handleViewPropertyChanged_=function(){this.render()},e.prototype.handleViewChanged_=function(){this.viewPropertyListenerKey_&&(z(this.viewPropertyListenerKey_),this.viewPropertyListenerKey_=null),this.viewChangeListenerKey_&&(z(this.viewChangeListenerKey_),this.viewChangeListenerKey_=null);var t=this.getView();t&&(this.updateViewportSize_(),this.viewPropertyListenerKey_=N(t,l,this.handleViewPropertyChanged_,this),this.viewChangeListenerKey_=N(t,T,this.handleViewPropertyChanged_,this),t.resolveConstraints(0)),this.render()},e.prototype.handleLayerGroupChanged_=function(){this.layerGroupPropertyListenerKeys_&&(this.layerGroupPropertyListenerKeys_.forEach(z),this.layerGroupPropertyListenerKeys_=null);var t=this.getLayerGroup();t&&(this.handleLayerAdd_(new El("addlayer",t)),this.layerGroupPropertyListenerKeys_=[N(t,l,this.render,this),N(t,T,this.render,this),N(t,"addlayer",this.handleLayerAdd_,this),N(t,"removelayer",this.handleLayerRemove_,this)]),this.render()},e.prototype.isRendered=function(){return!!this.frameState_},e.prototype.renderSync=function(){this.animationDelayKey_&&cancelAnimationFrame(this.animationDelayKey_),this.animationDelay_()},e.prototype.redrawText=function(){for(var t=this.getLayerGroup().getLayerStatesArray(),e=0,r=t.length;e<r;++e){var n=t[e].layer;n.hasRenderer()&&n.getRenderer().handleFontsChanged()}},e.prototype.render=function(){this.renderer_&&void 0===this.animationDelayKey_&&(this.animationDelayKey_=requestAnimationFrame(this.animationDelay_))},e.prototype.removeControl=function(t){return this.getControls().remove(t)},e.prototype.removeInteraction=function(t){return this.getInteractions().remove(t)},e.prototype.removeLayer=function(t){return this.getLayerGroup().getLayers().remove(t)},e.prototype.handleLayerRemove_=function(t){hu(t.layer)},e.prototype.removeOverlay=function(t){return this.getOverlays().remove(t)},e.prototype.renderFrame_=function(t){var e=this,r=this.getSize(),i=this.getView(),o=this.frameState_,a=null;if(void 0!==r&&ri(r)&&i&&i.isDef()){var s=i.getHints(this.frameState_?this.frameState_.viewHints:void 0),l=i.getState();if(a={animate:!1,coordinateToPixelTransform:this.coordinateToPixelTransform_,declutterTree:null,extent:we(l.center,l.resolution,l.rotation,r),index:this.frameIndex_++,layerIndex:0,layerStatesArray:this.getLayerGroup().getLayerStatesArray(),pixelRatio:this.pixelRatio_,pixelToCoordinateTransform:this.pixelToCoordinateTransform_,postRenderFunctions:[],size:r,tileQueue:this.tileQueue_,time:t,usedTiles:{},viewState:l,viewHints:s,wantedTiles:{},mapId:n(this),renderTargets:{}},l.nextCenter&&l.nextResolution){var u=isNaN(l.nextRotation)?l.rotation:l.nextRotation;a.nextExtent=we(l.nextCenter,l.nextResolution,u,r)}}if(this.frameState_=a,this.renderer_.renderFrame(a),a){if(a.animate&&this.render(),Array.prototype.push.apply(this.postRenderFunctions_,a.postRenderFunctions),o)(!this.previousExtent_||!Pe(this.previousExtent_)&&!he(a.extent,this.previousExtent_))&&(this.dispatchEvent(new Ol(Gl,this,o)),this.previousExtent_=se(this.previousExtent_));this.previousExtent_&&!a.viewHints[qa]&&!a.viewHints[Ja]&&!he(a.extent,this.previousExtent_)&&(this.dispatchEvent(new Ol(Nl,this,a)),$t(a.extent,this.previousExtent_))}this.dispatchEvent(new Ol(jl,this,a)),this.renderComplete_=!this.tileQueue_.getTilesLoading()&&!this.tileQueue_.getCount()&&!this.getLoading(),this.postRenderTimeoutHandle_||(this.postRenderTimeoutHandle_=setTimeout((function(){e.postRenderTimeoutHandle_=void 0,e.handlePostRender()}),0))},e.prototype.setLayerGroup=function(t){var e=this.getLayerGroup();e&&this.handleLayerRemove_(new El("removelayer",e)),this.set(Bl,t)},e.prototype.setSize=function(t){this.set(zl,t)},e.prototype.setTarget=function(t){this.set(Ul,t)},e.prototype.setView=function(t){if(!t||t instanceof lu)this.set(Vl,t);else{this.set(Vl,new lu);var e=this;t.then((function(t){e.setView(new lu(t))}))}},e.prototype.updateSize=function(){var t=this.getTargetElement(),e=void 0;if(t){var r=getComputedStyle(t),n=t.offsetWidth-parseFloat(r.borderLeftWidth)-parseFloat(r.paddingLeft)-parseFloat(r.paddingRight)-parseFloat(r.borderRightWidth),i=t.offsetHeight-parseFloat(r.borderTopWidth)-parseFloat(r.paddingTop)-parseFloat(r.paddingBottom)-parseFloat(r.borderBottomWidth);isNaN(n)||isNaN(i)||!ri(e=[n,i])&&(t.offsetWidth||t.offsetHeight||t.getClientRects().length)&&console.warn("No map visible because the map container's width or height are 0.")}this.setSize(e),this.updateViewportSize_()},e.prototype.updateViewportSize_=function(){var t=this.getView();if(t){var e=void 0,r=getComputedStyle(this.viewport_);r.width&&r.height&&(e=[parseInt(r.width,10),parseInt(r.height,10)]),t.setViewportSize(e)}},e}(q);var fu=pu,du=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),gu=function(t){function e(e){var r=t.call(this)||this,n=e.element;return!n||e.target||n.style.pointerEvents||(n.style.pointerEvents="auto"),r.element=n||null,r.target_=null,r.map_=null,r.listenerKeys=[],e.render&&(r.render=e.render),e.target&&r.setTarget(e.target),r}return du(e,t),e.prototype.disposeInternal=function(){vi(this.element),t.prototype.disposeInternal.call(this)},e.prototype.getMap=function(){return this.map_},e.prototype.setMap=function(t){this.map_&&vi(this.element);for(var e=0,r=this.listenerKeys.length;e<r;++e)z(this.listenerKeys[e]);(this.listenerKeys.length=0,this.map_=t,this.map_)&&((this.target_?this.target_:t.getOverlayContainerStopEvent()).appendChild(this.element),this.render!==v&&this.listenerKeys.push(N(t,jl,this.render,this)),t.render())},e.prototype.render=function(t){},e.prototype.setTarget=function(t){this.target_="string"==typeof t?document.getElementById(t):t},e}(q),_u=Object.freeze({__proto__:null,default:gu}),yu=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value 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t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}();function Gu(t,e,r,n){var i=t.getZoom();if(void 0!==i){var o=t.getConstrainedZoom(i+e),a=t.getResolutionForZoom(o);t.getAnimating()&&t.cancelAnimations(),t.animate({resolution:a,anchor:r,duration:void 0!==n?n:250,easing:sl})}}var Nu=function(t){function e(e){var r=t.call(this)||this;return r.on,r.once,r.un,e&&e.handleEvent&&(r.handleEvent=e.handleEvent),r.map_=null,r.setActive(!0),r}return ju(e,t),e.prototype.getActive=function(){return this.get(ku)},e.prototype.getMap=function(){return 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e=t.originalEvent;return 0==e.button&&!(bt&&Rt&&e.ctrlKey)},qu=y,Ju=function(t){return t.type==Ll.SINGLECLICK},Qu=function(t){var e=t.originalEvent;return!e.altKey&&!(e.metaKey||e.ctrlKey)&&!e.shiftKey},$u=function(t){var e=t.originalEvent;return!e.altKey&&!(e.metaKey||e.ctrlKey)&&e.shiftKey},th=function(t){var e=t.originalEvent.target.tagName;return"INPUT"!==e&&"SELECT"!==e&&"TEXTAREA"!==e},eh=function(t){var e=t.originalEvent;return nt(void 0!==e,56),"mouse"==e.pointerType},rh=function(t){var e=t.originalEvent;return nt(void 0!==e,56),e.isPrimary&&0===e.button},nh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),ih=function(t){function e(e){var r=t.call(this,{stopDown:y})||this,n=e||{};r.kinetic_=n.kinetic,r.lastCentroid=null,r.lastPointersCount_,r.panning_=!1;var i=n.condition?n.condition:Wu(Qu,rh);return r.condition_=n.onFocusOnly?Wu(Ku,i):i,r.noKinetic_=!1,r}return nh(e,t),e.prototype.handleDragEvent=function(t){this.panning_||(this.panning_=!0,this.getMap().getView().beginInteraction());var e=this.targetPointers,r=Vu(e);if(e.length==this.lastPointersCount_){if(this.kinetic_&&this.kinetic_.update(r[0],r[1]),this.lastCentroid){var n=[this.lastCentroid[0]-r[0],r[1]-this.lastCentroid[1]],i=t.map.getView();!function(t,e){t[0]*=e,t[1]*=e}(n,i.getResolution()),_r(n,i.getRotation()),i.adjustCenterInternal(n)}}else this.kinetic_&&this.kinetic_.begin();this.lastCentroid=r,this.lastPointersCount_=e.length,t.originalEvent.preventDefault()},e.prototype.handleUpEvent=function(t){var e=t.map,r=e.getView();if(0===this.targetPointers.length){if(!this.noKinetic_&&this.kinetic_&&this.kinetic_.end()){var n=this.kinetic_.getDistance(),i=this.kinetic_.getAngle(),o=r.getCenterInternal(),a=e.getPixelFromCoordinateInternal(o),s=e.getCoordinateFromPixelInternal([a[0]-n*Math.cos(i),a[1]-n*Math.sin(i)]);r.animateInternal({center:r.getConstrainedCenter(s),duration:500,easing:sl})}return this.panning_&&(this.panning_=!1,r.endInteraction()),!1}return this.kinetic_&&this.kinetic_.begin(),this.lastCentroid=null,!0},e.prototype.handleDownEvent=function(t){if(this.targetPointers.length>0&&this.condition_(t)){var e=t.map.getView();return this.lastCentroid=null,e.getAnimating()&&e.cancelAnimations(),this.kinetic_&&this.kinetic_.begin(),this.noKinetic_=this.targetPointers.length>1,!0}return!1},e}(Xu),oh=ih,ah=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),sh=function(t){function e(e){var r=this,n=e||{};return(r=t.call(this,{stopDown:y})||this).condition_=n.condition?n.condition:Yu,r.lastAngle_=void 0,r.duration_=void 0!==n.duration?n.duration:250,r}return ah(e,t),e.prototype.handleDragEvent=function(t){if(eh(t)){var e=t.map,r=e.getView();if(r.getConstraints().rotation!==eu){var n=e.getSize(),i=t.pixel,o=Math.atan2(n[1]/2-i[1],i[0]-n[0]/2);if(void 0!==this.lastAngle_){var a=o-this.lastAngle_;r.adjustRotationInternal(-a)}this.lastAngle_=o}}},e.prototype.handleUpEvent=function(t){return!eh(t)||(t.map.getView().endInteraction(this.duration_),!1)},e.prototype.handleDownEvent=function(t){return!!eh(t)&&(!(!Hu(t)||!this.condition_(t))&&(t.map.getView().beginInteraction(),this.lastAngle_=void 0,!0))},e}(Xu),lh=sh,uh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),hh=function(t){function e(e){var r=t.call(this)||this;return r.geometry_=null,r.element_=document.createElement("div"),r.element_.style.position="absolute",r.element_.style.pointerEvents="auto",r.element_.className="ol-box "+e,r.map_=null,r.startPixel_=null,r.endPixel_=null,r}return uh(e,t),e.prototype.disposeInternal=function(){this.setMap(null)},e.prototype.render_=function(){var t=this.startPixel_,e=this.endPixel_,r="px",n=this.element_.style;n.left=Math.min(t[0],e[0])+r,n.top=Math.min(t[1],e[1])+r,n.width=Math.abs(e[0]-t[0])+r,n.height=Math.abs(e[1]-t[1])+r},e.prototype.setMap=function(t){if(this.map_){this.map_.getOverlayContainer().removeChild(this.element_);var e=this.element_.style;e.left="inherit",e.top="inherit",e.width="inherit",e.height="inherit"}this.map_=t,this.map_&&this.map_.getOverlayContainer().appendChild(this.element_)},e.prototype.setPixels=function(t,e){this.startPixel_=t,this.endPixel_=e,this.createOrUpdateGeometry(),this.render_()},e.prototype.createOrUpdateGeometry=function(){var t=this.startPixel_,e=this.endPixel_,r=[t,[t[0],e[1]],e,[e[0],t[1]]].map(this.map_.getCoordinateFromPixelInternal,this.map_);r[4]=r[0].slice(),this.geometry_?this.geometry_.setCoordinates([r]):this.geometry_=new An([r])},e.prototype.getGeometry=function(){return this.geometry_},e}(u),ch=hh,ph=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),fh="boxstart",dh="boxdrag",gh="boxend",_h="boxcancel",yh=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.coordinate=r,i.mapBrowserEvent=n,i}return ph(e,t),e}(s),vh=function(t){function e(e){var r=t.call(this)||this;r.on,r.once,r.un;var n=e||{};return r.box_=new ch(n.className||"ol-dragbox"),r.minArea_=void 0!==n.minArea?n.minArea:64,n.onBoxEnd&&(r.onBoxEnd=n.onBoxEnd),r.startPixel_=null,r.condition_=n.condition?n.condition:Hu,r.boxEndCondition_=n.boxEndCondition?n.boxEndCondition:r.defaultBoxEndCondition,r}return ph(e,t),e.prototype.defaultBoxEndCondition=function(t,e,r){var n=r[0]-e[0],i=r[1]-e[1];return n*n+i*i>=this.minArea_},e.prototype.getGeometry=function(){return this.box_.getGeometry()},e.prototype.handleDragEvent=function(t){this.box_.setPixels(this.startPixel_,t.pixel),this.dispatchEvent(new yh(dh,t.coordinate,t))},e.prototype.handleUpEvent=function(t){this.box_.setMap(null);var e=this.boxEndCondition_(t,this.startPixel_,t.pixel);return e&&this.onBoxEnd(t),this.dispatchEvent(new yh(e?gh:_h,t.coordinate,t)),!1},e.prototype.handleDownEvent=function(t){return!!this.condition_(t)&&(this.startPixel_=t.pixel,this.box_.setMap(t.map),this.box_.setPixels(this.startPixel_,this.startPixel_),this.dispatchEvent(new yh(fh,t.coordinate,t)),!0)},e.prototype.onBoxEnd=function(t){},e}(Xu),mh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),xh=function(t){function e(e){var r=this,n=e||{},i=n.condition?n.condition:$u;return(r=t.call(this,{condition:i,className:n.className||"ol-dragzoom",minArea:n.minArea})||this).duration_=void 0!==n.duration?n.duration:200,r.out_=void 0!==n.out&&n.out,r}return mh(e,t),e.prototype.onBoxEnd=function(t){var e=this.getMap().getView(),r=this.getGeometry();if(this.out_){var n=e.rotatedExtentForGeometry(r),i=e.getResolutionForExtentInternal(n),o=e.getResolution()/i;(r=r.clone()).scale(o*o)}e.fitInternal(r,{duration:this.duration_,easing:sl})},e}(vh),wh=37,Sh=38,Ch=39,Eh=40,Th=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),bh=function(t){function e(e){var r=t.call(this)||this,n=e||{};return r.defaultCondition_=function(t){return Qu(t)&&th(t)},r.condition_=void 0!==n.condition?n.condition:r.defaultCondition_,r.duration_=void 0!==n.duration?n.duration:100,r.pixelDelta_=void 0!==n.pixelDelta?n.pixelDelta:128,r}return Th(e,t),e.prototype.handleEvent=function(t){var e=!1;if(t.type==M){var r=t.originalEvent,n=r.keyCode;if(this.condition_(t)&&(n==Eh||n==wh||n==Ch||n==Sh)){var i=t.map.getView(),o=i.getResolution()*this.pixelDelta_,a=0,s=0;n==Eh?s=-o:n==wh?a=-o:n==Ch?a=o:s=o;var l=[a,s];_r(l,i.getRotation()),function(t,e,r){var n=t.getCenterInternal();if(n){var i=[n[0]+e[0],n[1]+e[1]];t.animateInternal({duration:void 0!==r?r:250,easing:ul,center:t.getConstrainedCenter(i)})}}(i,l,this.duration_),r.preventDefault(),e=!0}}return!e},e}(Nu),Rh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Ph=function(t){function e(e){var r=t.call(this)||this,n=e||{};return r.condition_=n.condition?n.condition:th,r.delta_=n.delta?n.delta:1,r.duration_=void 0!==n.duration?n.duration:100,r}return Rh(e,t),e.prototype.handleEvent=function(t){var e=!1;if(t.type==M||t.type==A){var r=t.originalEvent,n=r.charCode;if(this.condition_(t)&&(n=="+".charCodeAt(0)||n=="-".charCodeAt(0))){var i=t.map,o=n=="+".charCodeAt(0)?this.delta_:-this.delta_;Gu(i.getView(),o,void 0,this.duration_),r.preventDefault(),e=!0}}return!e},e}(Nu),Oh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Fh="trackpad",Ih="wheel",Lh=function(t){function e(e){var r=this,n=e||{};(r=t.call(this,n)||this).totalDelta_=0,r.lastDelta_=0,r.maxDelta_=void 0!==n.maxDelta?n.maxDelta:1,r.duration_=void 0!==n.duration?n.duration:250,r.timeout_=void 0!==n.timeout?n.timeout:80,r.useAnchor_=void 0===n.useAnchor||n.useAnchor,r.constrainResolution_=void 0!==n.constrainResolution&&n.constrainResolution;var i=n.condition?n.condition:Zu;return r.condition_=n.onFocusOnly?Wu(Ku,i):i,r.lastAnchor_=null,r.startTime_=void 0,r.timeoutId_,r.mode_=void 0,r.trackpadEventGap_=400,r.trackpadTimeoutId_,r.deltaPerZoom_=300,r}return Oh(e,t),e.prototype.endInteraction_=function(){this.trackpadTimeoutId_=void 0,this.getMap().getView().endInteraction(void 0,this.lastDelta_?this.lastDelta_>0?1:-1:0,this.lastAnchor_)},e.prototype.handleEvent=function(t){if(!this.condition_(t))return!0;if(t.type!==G)return!0;var e,r=t.map,n=t.originalEvent;if(n.preventDefault(),this.useAnchor_&&(this.lastAnchor_=t.coordinate),t.type==G&&(e=n.deltaY,Et&&n.deltaMode===WheelEvent.DOM_DELTA_PIXEL&&(e/=Pt),n.deltaMode===WheelEvent.DOM_DELTA_LINE&&(e*=40)),0===e)return!1;this.lastDelta_=e;var i=Date.now();void 0===this.startTime_&&(this.startTime_=i),(!this.mode_||i-this.startTime_>this.trackpadEventGap_)&&(this.mode_=Math.abs(e)<4?Fh:Ih);var o=r.getView();if(this.mode_===Fh&&!o.getConstrainResolution()&&!this.constrainResolution_)return this.trackpadTimeoutId_?clearTimeout(this.trackpadTimeoutId_):(o.getAnimating()&&o.cancelAnimations(),o.beginInteraction()),this.trackpadTimeoutId_=setTimeout(this.endInteraction_.bind(this),this.timeout_),o.adjustZoom(-e/this.deltaPerZoom_,this.lastAnchor_),this.startTime_=i,!1;this.totalDelta_+=e;var a=Math.max(this.timeout_-(i-this.startTime_),0);return clearTimeout(this.timeoutId_),this.timeoutId_=setTimeout(this.handleWheelZoom_.bind(this,r),a),!1},e.prototype.handleWheelZoom_=function(t){var e=t.getView();e.getAnimating()&&e.cancelAnimations();var r=-Ie(this.totalDelta_,-this.maxDelta_*this.deltaPerZoom_,this.maxDelta_*this.deltaPerZoom_)/this.deltaPerZoom_;(e.getConstrainResolution()||this.constrainResolution_)&&(r=r?r>0?1:-1:0),Gu(e,r,this.lastAnchor_,this.duration_),this.mode_=void 0,this.totalDelta_=0,this.lastAnchor_=null,this.startTime_=void 0,this.timeoutId_=void 0},e.prototype.setMouseAnchor=function(t){this.useAnchor_=t,t||(this.lastAnchor_=null)},e}(Nu),Mh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Ah=function(t){function e(e){var r=this,n=e||{},i=n;return i.stopDown||(i.stopDown=y),(r=t.call(this,i)||this).anchor_=null,r.lastAngle_=void 0,r.rotating_=!1,r.rotationDelta_=0,r.threshold_=void 0!==n.threshold?n.threshold:.3,r.duration_=void 0!==n.duration?n.duration:250,r}return Mh(e,t),e.prototype.handleDragEvent=function(t){var e=0,r=this.targetPointers[0],n=this.targetPointers[1],i=Math.atan2(n.clientY-r.clientY,n.clientX-r.clientX);if(void 0!==this.lastAngle_){var o=i-this.lastAngle_;this.rotationDelta_+=o,!this.rotating_&&Math.abs(this.rotationDelta_)>this.threshold_&&(this.rotating_=!0),e=o}this.lastAngle_=i;var a=t.map,s=a.getView();if(s.getConstraints().rotation!==eu){var l=a.getViewport().getBoundingClientRect(),u=Vu(this.targetPointers);u[0]-=l.left,u[1]-=l.top,this.anchor_=a.getCoordinateFromPixelInternal(u),this.rotating_&&(a.render(),s.adjustRotationInternal(e,this.anchor_))}},e.prototype.handleUpEvent=function(t){return!(this.targetPointers.length<2)||(t.map.getView().endInteraction(this.duration_),!1)},e.prototype.handleDownEvent=function(t){if(this.targetPointers.length>=2){var e=t.map;return this.anchor_=null,this.lastAngle_=void 0,this.rotating_=!1,this.rotationDelta_=0,this.handlingDownUpSequence||e.getView().beginInteraction(),!0}return!1},e}(Xu),Dh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),kh=function(t){function e(e){var r=this,n=e||{},i=n;return i.stopDown||(i.stopDown=y),(r=t.call(this,i)||this).anchor_=null,r.duration_=void 0!==n.duration?n.duration:400,r.lastDistance_=void 0,r.lastScaleDelta_=1,r}return Dh(e,t),e.prototype.handleDragEvent=function(t){var e=1,r=this.targetPointers[0],n=this.targetPointers[1],i=r.clientX-n.clientX,o=r.clientY-n.clientY,a=Math.sqrt(i*i+o*o);void 0!==this.lastDistance_&&(e=this.lastDistance_/a),this.lastDistance_=a;var s=t.map,l=s.getView();1!=e&&(this.lastScaleDelta_=e);var u=s.getViewport().getBoundingClientRect(),h=Vu(this.targetPointers);h[0]-=u.left,h[1]-=u.top,this.anchor_=s.getCoordinateFromPixelInternal(h),s.render(),l.adjustResolutionInternal(e,this.anchor_)},e.prototype.handleUpEvent=function(t){if(this.targetPointers.length<2){var e=t.map.getView(),r=this.lastScaleDelta_>1?1:-1;return e.endInteraction(this.duration_,r),!1}return!0},e.prototype.handleDownEvent=function(t){if(this.targetPointers.length>=2){var e=t.map;return this.anchor_=null,this.lastDistance_=void 0,this.lastScaleDelta_=1,this.handlingDownUpSequence||e.getView().beginInteraction(),!0}return!1},e}(Xu),jh=kh,Gh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Nh="addfeatures",Bh=function(t){function e(e,r,n,i){var o=t.call(this,e)||this;return o.features=n,o.file=r,o.projection=i,o}return Gh(e,t),e}(s),zh=function(t){function e(e){var r=this,n=e||{};(r=t.call(this,{handleEvent:_})||this).on,r.once,r.un,r.readAsBuffer_=!1,r.formats_=[];for(var i=n.formatConstructors?n.formatConstructors:[],o=0,a=i.length;o<a;++o){var s=i[o];"function"==typeof s&&(s=new s),r.formats_.push(s),r.readAsBuffer_=r.readAsBuffer_||s.getType()===Ys}return r.projection_=n.projection?Er(n.projection):null,r.dropListenKeys_=null,r.source_=n.source||null,r.target=n.target?n.target:null,r}return Gh(e,t),e.prototype.handleResult_=function(t,e){var r,n=e.target.result,i=this.getMap(),o=this.projection_;o||(o=i.getView().getProjection());for(var a=this.formats_,s=0,l=a.length;s<l;++s){var u=a[s],h=n;this.readAsBuffer_&&u.getType()!==Ys&&(void 0===r&&(r=(new TextDecoder).decode(n)),h=r);var c=this.tryReadFeatures_(u,h,{featureProjection:o});if(c&&c.length>0){this.source_&&(this.source_.clear(),this.source_.addFeatures(c)),this.dispatchEvent(new Bh(Nh,t,c,o));break}}},e.prototype.registerListeners_=function(){var t=this.getMap();if(t){var e=this.target?this.target:t.getViewport();this.dropListenKeys_=[N(e,L,this.handleDrop,this),N(e,F,this.handleStop,this),N(e,I,this.handleStop,this),N(e,L,this.handleStop,this)]}},e.prototype.setActive=function(e){!this.getActive()&&e&&this.registerListeners_(),this.getActive()&&!e&&this.unregisterListeners_(),t.prototype.setActive.call(this,e)},e.prototype.setMap=function(e){this.unregisterListeners_(),t.prototype.setMap.call(this,e),this.getActive()&&this.registerListeners_()},e.prototype.tryReadFeatures_=function(t,e,r){try{return t.readFeatures(e,r)}catch(t){return null}},e.prototype.unregisterListeners_=function(){this.dropListenKeys_&&(this.dropListenKeys_.forEach(z),this.dropListenKeys_=null)},e.prototype.handleDrop=function(t){for(var e=t.dataTransfer.files,r=0,n=e.length;r<n;++r){var i=e.item(r),o=new FileReader;o.addEventListener(D,this.handleResult_.bind(this,i)),this.readAsBuffer_?o.readAsArrayBuffer(i):o.readAsText(i)}},e.prototype.handleStop=function(t){t.stopPropagation(),t.preventDefault(),t.dataTransfer.dropEffect="copy"},e}(Nu),Uh=zh,Vh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Xh=function(t){function e(e){var r=this,n=e||{};return(r=t.call(this,n)||this).condition_=n.condition?n.condition:$u,r.lastAngle_=void 0,r.lastMagnitude_=void 0,r.lastScaleDelta_=0,r.duration_=void 0!==n.duration?n.duration:400,r}return Vh(e,t),e.prototype.handleDragEvent=function(t){if(eh(t)){var e=t.map,r=e.getSize(),n=t.pixel,i=n[0]-r[0]/2,o=r[1]/2-n[1],a=Math.atan2(o,i),s=Math.sqrt(i*i+o*o),l=e.getView();if(void 0!==this.lastAngle_){var u=this.lastAngle_-a;l.adjustRotationInternal(u)}this.lastAngle_=a,void 0!==this.lastMagnitude_&&l.adjustResolutionInternal(this.lastMagnitude_/s),void 0!==this.lastMagnitude_&&(this.lastScaleDelta_=this.lastMagnitude_/s),this.lastMagnitude_=s}},e.prototype.handleUpEvent=function(t){if(!eh(t))return!0;var e=t.map.getView(),r=this.lastScaleDelta_>1?1:-1;return e.endInteraction(this.duration_,r),this.lastScaleDelta_=0,!1},e.prototype.handleDownEvent=function(t){return!!eh(t)&&(!!this.condition_(t)&&(t.map.getView().beginInteraction(),this.lastAngle_=void 0,this.lastMagnitude_=void 0,!0))},e}(Xu),Wh=Xh,Yh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Kh=function(t){function e(e,r,n){var i=t.call(this)||this;if(void 0!==n&&void 0===r)i.setFlatCoordinates(n,e);else{var o=r||0;i.setCenterAndRadius(e,o,n)}return i}return Yh(e,t),e.prototype.clone=function(){var t=new e(this.flatCoordinates.slice(),void 0,this.layout);return t.applyProperties(this),t},e.prototype.closestPointXY=function(t,e,r,n){var i=this.flatCoordinates,o=t-i[0],a=e-i[1],s=o*o+a*a;if(s<n){if(0===s)for(var l=0;l<this.stride;++l)r[l]=i[l];else{var u=this.getRadius()/Math.sqrt(s);r[0]=i[0]+u*o,r[1]=i[1]+u*a;for(l=2;l<this.stride;++l)r[l]=i[l]}return r.length=this.stride,s}return n},e.prototype.containsXY=function(t,e){var r=this.flatCoordinates,n=t-r[0],i=e-r[1];return n*n+i*i<=this.getRadiusSquared_()},e.prototype.getCenter=function(){return this.flatCoordinates.slice(0,this.stride)},e.prototype.computeExtent=function(t){var e=this.flatCoordinates,r=e[this.stride]-e[0];return ae(e[0]-r,e[1]-r,e[0]+r,e[1]+r,t)},e.prototype.getRadius=function(){return Math.sqrt(this.getRadiusSquared_())},e.prototype.getRadiusSquared_=function(){var t=this.flatCoordinates[this.stride]-this.flatCoordinates[0],e=this.flatCoordinates[this.stride+1]-this.flatCoordinates[1];return t*t+e*e},e.prototype.getType=function(){return mt},e.prototype.intersectsExtent=function(t){if(Re(t,this.getExtent())){var e=this.getCenter();return t[0]<=e[0]&&t[2]>=e[0]||(t[1]<=e[1]&&t[3]>=e[1]||ge(t,this.intersectsCoordinate.bind(this)))}return!1},e.prototype.setCenter=function(t){var e=this.stride,r=this.flatCoordinates[e]-this.flatCoordinates[0],n=t.slice();n[e]=n[0]+r;for(var i=1;i<e;++i)n[e+i]=t[i];this.setFlatCoordinates(this.layout,n),this.changed()},e.prototype.setCenterAndRadius=function(t,e,r){this.setLayout(r,t,0),this.flatCoordinates||(this.flatCoordinates=[]);var n=this.flatCoordinates,i=en(n,0,t,this.stride);n[i++]=n[0]+e;for(var o=1,a=this.stride;o<a;++o)n[i++]=n[o];n.length=i,this.changed()},e.prototype.getCoordinates=function(){return null},e.prototype.setCoordinates=function(t,e){},e.prototype.setRadius=function(t){this.flatCoordinates[this.stride]=this.flatCoordinates[0]+t,this.changed()},e.prototype.rotate=function(t,e){var r=this.getCenter(),n=this.getStride();this.setCenter(Br(r,0,r.length,n,t,e,r)),this.changed()},e.prototype.translate=function(t,e){var r=this.getCenter(),n=this.getStride();this.setCenter(zr(r,0,r.length,n,t,e,r)),this.changed()},e}(Hr);Kh.prototype.transform;var Zh=Kh,Hh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),qh=function(t){function e(e,r,n){var i=t.call(this)||this;if(i.ends_=[],i.maxDelta_=-1,i.maxDeltaRevision_=-1,Array.isArray(e[0]))i.setCoordinates(e,r);else if(void 0!==r&&n)i.setFlatCoordinates(r,e),i.ends_=n;else{for(var o=i.getLayout(),a=e,s=[],l=[],u=0,h=a.length;u<h;++u){var c=a[u];0===u&&(o=c.getLayout()),d(s,c.getFlatCoordinates()),l.push(s.length)}i.setFlatCoordinates(o,s),i.ends_=l}return i}return Hh(e,t),e.prototype.appendLineString=function(t){this.flatCoordinates?d(this.flatCoordinates,t.getFlatCoordinates().slice()):this.flatCoordinates=t.getFlatCoordinates().slice(),this.ends_.push(this.flatCoordinates.length),this.changed()},e.prototype.clone=function(){var t=new e(this.flatCoordinates.slice(),this.layout,this.ends_.slice());return t.applyProperties(this),t},e.prototype.closestPointXY=function(t,e,r,n){return n<te(this.getExtent(),t,e)?n:(this.maxDeltaRevision_!=this.getRevision()&&(this.maxDelta_=Math.sqrt(Qr(this.flatCoordinates,0,this.ends_,this.stride,0)),this.maxDeltaRevision_=this.getRevision()),tn(this.flatCoordinates,0,this.ends_,this.stride,this.maxDelta_,!1,t,e,r,n))},e.prototype.getCoordinateAtM=function(t,e,r){if(this.layout!=ut&&this.layout!=ht||0===this.flatCoordinates.length)return null;var n=void 0!==e&&e,i=void 0!==r&&r;return function(t,e,r,n,i,o,a){if(a)return Xn(t,e,r[r.length-1],n,i,o);var s;if(i<t[n-1])return o?((s=t.slice(0,n))[n-1]=i,s):null;if(t[t.length-1]<i)return o?((s=t.slice(t.length-n))[n-1]=i,s):null;for(var l=0,u=r.length;l<u;++l){var h=r[l];if(e!=h){if(i<t[e+n-1])return null;if(i<=t[h-1])return Xn(t,e,h,n,i,!1);e=h}}return null}(this.flatCoordinates,0,this.ends_,this.stride,t,n,i)},e.prototype.getCoordinates=function(){return hn(this.flatCoordinates,0,this.ends_,this.stride)},e.prototype.getEnds=function(){return this.ends_},e.prototype.getLineString=function(t){return t<0||this.ends_.length<=t?null:new Zn(this.flatCoordinates.slice(0===t?0:this.ends_[t-1],this.ends_[t]),this.layout)},e.prototype.getLineStrings=function(){for(var t=this.flatCoordinates,e=this.ends_,r=this.layout,n=[],i=0,o=0,a=e.length;o<a;++o){var s=e[o],l=new Zn(t.slice(i,s),r);n.push(l),i=s}return n},e.prototype.getFlatMidpoints=function(){for(var t=[],e=this.flatCoordinates,r=0,n=this.ends_,i=this.stride,o=0,a=n.length;o<a;++o){var s=n[o];d(t,Vn(e,r,s,i,.5)),r=s}return t},e.prototype.getSimplifiedGeometryInternal=function(t){var r=[],n=[];return r.length=function(t,e,r,n,i,o,a,s){for(var l=0,u=r.length;l<u;++l){var h=r[l];a=on(t,e,h,n,i,o,a),s.push(a),e=h}return a}(this.flatCoordinates,0,this.ends_,this.stride,t,r,0,n),new e(r,st,n)},e.prototype.getType=function(){return _t},e.prototype.intersectsExtent=function(t){return function(t,e,r,n,i){for(var o=0,a=r.length;o<a;++o){if(bn(t,e,r[o],n,i))return!0;e=r[o]}return!1}(this.flatCoordinates,0,this.ends_,this.stride,t)},e.prototype.setCoordinates=function(t,e){this.setLayout(e,t,2),this.flatCoordinates||(this.flatCoordinates=[]);var r=nn(this.flatCoordinates,0,t,this.stride,this.ends_);this.flatCoordinates.length=0===r.length?0:r[r.length-1],this.changed()},e}(Hr),Jh=qh,Qh=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),$h=function(t){function e(e,r){var n=t.call(this)||this;return r&&!Array.isArray(e[0])?n.setFlatCoordinates(r,e):n.setCoordinates(e,r),n}return Qh(e,t),e.prototype.appendPoint=function(t){this.flatCoordinates?d(this.flatCoordinates,t.getFlatCoordinates()):this.flatCoordinates=t.getFlatCoordinates().slice(),this.changed()},e.prototype.clone=function(){var t=new e(this.flatCoordinates.slice(),this.layout);return t.applyProperties(this),t},e.prototype.closestPointXY=function(t,e,r,n){if(n<te(this.getExtent(),t,e))return n;for(var i=this.flatCoordinates,o=this.stride,a=0,s=i.length;a<s;a+=o){var l=De(t,e,i[a],i[a+1]);if(l<n){n=l;for(var u=0;u<o;++u)r[u]=i[a+u];r.length=o}}return n},e.prototype.getCoordinates=function(){return un(this.flatCoordinates,0,this.flatCoordinates.length,this.stride)},e.prototype.getPoint=function(t){var e=this.flatCoordinates?this.flatCoordinates.length/this.stride:0;return t<0||e<=t?null:new mn(this.flatCoordinates.slice(t*this.stride,(t+1)*this.stride),this.layout)},e.prototype.getPoints=function(){for(var t=this.flatCoordinates,e=this.layout,r=this.stride,n=[],i=0,o=t.length;i<o;i+=r){var a=new mn(t.slice(i,i+r),e);n.push(a)}return n},e.prototype.getType=function(){return gt},e.prototype.intersectsExtent=function(t){for(var e=this.flatCoordinates,r=this.stride,n=0,i=e.length;n<i;n+=r){if(ne(t,e[n],e[n+1]))return!0}return!1},e.prototype.setCoordinates=function(t,e){this.setLayout(e,t,1),this.flatCoordinates||(this.flatCoordinates=[]),this.flatCoordinates.length=rn(this.flatCoordinates,0,t,this.stride),this.changed()},e}(Hr),tc=$h;function ec(t,e,r,n){for(var i=[],o=[1/0,1/0,-1/0,-1/0],a=0,s=r.length;a<s;++a){var l=r[a];o=ue(t,e,l[0],n),i.push((o[0]+o[2])/2,(o[1]+o[3])/2),e=l[l.length-1]}return i}var rc=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),nc=function(t){function e(e,r,n){var i=t.call(this)||this;if(i.endss_=[],i.flatInteriorPointsRevision_=-1,i.flatInteriorPoints_=null,i.maxDelta_=-1,i.maxDeltaRevision_=-1,i.orientedRevision_=-1,i.orientedFlatCoordinates_=null,!n&&!Array.isArray(e[0])){for(var o=i.getLayout(),a=e,s=[],l=[],u=0,h=a.length;u<h;++u){var c=a[u];0===u&&(o=c.getLayout());for(var p=s.length,f=c.getEnds(),g=0,_=f.length;g<_;++g)f[g]+=p;d(s,c.getFlatCoordinates()),l.push(f)}r=o,e=s,n=l}return void 0!==r&&n?(i.setFlatCoordinates(r,e),i.endss_=n):i.setCoordinates(e,r),i}return rc(e,t),e.prototype.appendPolygon=function(t){var e;if(this.flatCoordinates){var r=this.flatCoordinates.length;d(this.flatCoordinates,t.getFlatCoordinates());for(var n=0,i=(e=t.getEnds().slice()).length;n<i;++n)e[n]+=r}else this.flatCoordinates=t.getFlatCoordinates().slice(),e=t.getEnds().slice(),this.endss_.push();this.endss_.push(e),this.changed()},e.prototype.clone=function(){for(var t=this.endss_.length,r=new Array(t),n=0;n<t;++n)r[n]=this.endss_[n].slice();var i=new e(this.flatCoordinates.slice(),this.layout,r);return i.applyProperties(this),i},e.prototype.closestPointXY=function(t,e,r,n){return n<te(this.getExtent(),t,e)?n:(this.maxDeltaRevision_!=this.getRevision()&&(this.maxDelta_=Math.sqrt(function(t,e,r,n,i){for(var o=0,a=r.length;o<a;++o){var s=r[o];i=Qr(t,e,s,n,i),e=s[s.length-1]}return i}(this.flatCoordinates,0,this.endss_,this.stride,0)),this.maxDeltaRevision_=this.getRevision()),function(t,e,r,n,i,o,a,s,l,u,h){for(var c=h||[NaN,NaN],p=0,f=r.length;p<f;++p){var d=r[p];u=tn(t,e,d,n,i,o,a,s,l,u,c),e=d[d.length-1]}return u}(this.getOrientedFlatCoordinates(),0,this.endss_,this.stride,this.maxDelta_,!0,t,e,r,n))},e.prototype.containsXY=function(t,e){return function(t,e,r,n,i,o){if(0===r.length)return!1;for(var a=0,s=r.length;a<s;++a){var l=r[a];if(Sn(t,e,l,n,i,o))return!0;e=l[l.length-1]}return!1}(this.getOrientedFlatCoordinates(),0,this.endss_,this.stride,t,e)},e.prototype.getArea=function(){return function(t,e,r,n){for(var i=0,o=0,a=r.length;o<a;++o){var s=r[o];i+=fn(t,e,s,n),e=s[s.length-1]}return i}(this.getOrientedFlatCoordinates(),0,this.endss_,this.stride)},e.prototype.getCoordinates=function(t){var e;return void 0!==t?Ln(e=this.getOrientedFlatCoordinates().slice(),0,this.endss_,this.stride,t):e=this.flatCoordinates,cn(e,0,this.endss_,this.stride)},e.prototype.getEndss=function(){return this.endss_},e.prototype.getFlatInteriorPoints=function(){if(this.flatInteriorPointsRevision_!=this.getRevision()){var t=ec(this.flatCoordinates,0,this.endss_,this.stride);this.flatInteriorPoints_=En(this.getOrientedFlatCoordinates(),0,this.endss_,this.stride,t),this.flatInteriorPointsRevision_=this.getRevision()}return this.flatInteriorPoints_},e.prototype.getInteriorPoints=function(){return new tc(this.getFlatInteriorPoints().slice(),ut)},e.prototype.getOrientedFlatCoordinates=function(){if(this.orientedRevision_!=this.getRevision()){var t=this.flatCoordinates;!function(t,e,r,n,i){for(var o=0,a=r.length;o<a;++o){var s=r[o];if(!Fn(t,e,s,n,i))return!1;s.length&&(e=s[s.length-1])}return!0}(t,0,this.endss_,this.stride)?(this.orientedFlatCoordinates_=t.slice(),this.orientedFlatCoordinates_.length=Ln(this.orientedFlatCoordinates_,0,this.endss_,this.stride)):this.orientedFlatCoordinates_=t,this.orientedRevision_=this.getRevision()}return this.orientedFlatCoordinates_},e.prototype.getSimplifiedGeometryInternal=function(t){var r=[],n=[];return r.length=function(t,e,r,n,i,o,a,s){for(var l=0,u=r.length;l<u;++l){var h=r[l],c=[];a=ln(t,e,h,n,i,o,a,c),s.push(c),e=h[h.length-1]}return a}(this.flatCoordinates,0,this.endss_,this.stride,Math.sqrt(t),r,0,n),new e(r,st,n)},e.prototype.getPolygon=function(t){if(t<0||this.endss_.length<=t)return null;var e;if(0===t)e=0;else{var r=this.endss_[t-1];e=r[r.length-1]}var n=this.endss_[t].slice(),i=n[n.length-1];if(0!==e)for(var o=0,a=n.length;o<a;++o)n[o]-=e;return new An(this.flatCoordinates.slice(e,i),this.layout,n)},e.prototype.getPolygons=function(){for(var t=this.layout,e=this.flatCoordinates,r=this.endss_,n=[],i=0,o=0,a=r.length;o<a;++o){var s=r[o].slice(),l=s[s.length-1];if(0!==i)for(var u=0,h=s.length;u<h;++u)s[u]-=i;var c=new An(e.slice(i,l),t,s);n.push(c),i=l}return n},e.prototype.getType=function(){return yt},e.prototype.intersectsExtent=function(t){return function(t,e,r,n,i){for(var o=0,a=r.length;o<a;++o){var s=r[o];if(Rn(t,e,s,n,i))return!0;e=s[s.length-1]}return!1}(this.getOrientedFlatCoordinates(),0,this.endss_,this.stride,t)},e.prototype.setCoordinates=function(t,e){this.setLayout(e,t,3),this.flatCoordinates||(this.flatCoordinates=[]);var r=function(t,e,r,n,i){for(var o=i||[],a=0,s=0,l=r.length;s<l;++s){var u=nn(t,e,r[s],n,o[a]);o[a++]=u,e=u[u.length-1]}return o.length=a,o}(this.flatCoordinates,0,t,this.stride,this.endss_);if(0===r.length)this.flatCoordinates.length=0;else{var n=r[r.length-1];this.flatCoordinates.length=0===n.length?0:n[n.length-1]}this.changed()},e}(Hr),ic=nc,oc=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),ac="Point",sc="LineString",lc="Polygon",uc="Circle",hc="drawstart",cc="drawend",pc="drawabort",fc=function(t){function e(e,r){var n=t.call(this,e)||this;return n.feature=r,n}return oc(e,t),e}(s),dc=function(t){function e(e){var r=this,n=e;n.stopDown||(n.stopDown=y),(r=t.call(this,n)||this).on,r.once,r.un,r.shouldHandle_=!1,r.downPx_=null,r.downTimeout_,r.lastDragTime_,r.pointerType_,r.freehand_=!1,r.source_=e.source?e.source:null,r.features_=e.features?e.features:null,r.snapTolerance_=e.snapTolerance?e.snapTolerance:12,r.type_=e.type,r.mode_=function(t){switch(t){case ct:case gt:return ac;case pt:case _t:return sc;case dt:case yt:return lc;case mt:return uc;default:throw new Error("Invalid type: "+t)}}(r.type_),r.stopClick_=!!e.stopClick,r.minPoints_=e.minPoints?e.minPoints:r.mode_===lc?3:2,r.maxPoints_=r.mode_===uc?2:e.maxPoints?e.maxPoints:1/0,r.finishCondition_=e.finishCondition?e.finishCondition:_;var i,o=e.geometryFunction;if(!o){var a,s=r.mode_;if(s===uc)o=function(t,e,r){var n=e||new Zh([NaN,NaN]),i=kr(t[0]),o=yr(i,kr(t[t.length-1]));return n.setCenterAndRadius(i,Math.sqrt(o)),n};else s===ac?a=mn:s===sc?a=Zn:s===lc&&(a=An),o=function(t,e,r){return e?s===lc?t[0].length?e.setCoordinates([t[0].concat([t[0][0]])]):e.setCoordinates([]):e.setCoordinates(t):e=new a(t),e}}return r.geometryFunction_=o,r.dragVertexDelay_=void 0!==e.dragVertexDelay?e.dragVertexDelay:500,r.finishCoordinate_=null,r.sketchFeature_=null,r.sketchPoint_=null,r.sketchCoords_=null,r.sketchLine_=null,r.sketchLineCoords_=null,r.squaredClickTolerance_=e.clickTolerance?e.clickTolerance*e.clickTolerance:36,r.overlay_=new Ms({source:new tl({useSpatialIndex:!1,wrapX:!!e.wrapX&&e.wrapX}),style:e.style?e.style:(i=ro(),function(t,e){return i[t.getGeometry().getType()]}),updateWhileInteracting:!0}),r.geometryName_=e.geometryName,r.condition_=e.condition?e.condition:Qu,r.freehandCondition_,e.freehand?r.freehandCondition_=Zu:r.freehandCondition_=e.freehandCondition?e.freehandCondition:$u,r.addChangeListener(ku,r.updateState_),r}return oc(e,t),e.prototype.setMap=function(e){t.prototype.setMap.call(this,e),this.updateState_()},e.prototype.getOverlay=function(){return this.overlay_},e.prototype.handleEvent=function(e){e.originalEvent.type===R&&e.originalEvent.preventDefault(),this.freehand_=this.mode_!==ac&&this.freehandCondition_(e);var r=e.type===Ll.POINTERMOVE,n=!0;!this.freehand_&&this.lastDragTime_&&e.type===Ll.POINTERDRAG&&(Date.now()-this.lastDragTime_>=this.dragVertexDelay_?(this.downPx_=e.pixel,this.shouldHandle_=!this.freehand_,r=!0):this.lastDragTime_=void 0,this.shouldHandle_&&void 0!==this.downTimeout_&&(clearTimeout(this.downTimeout_),this.downTimeout_=void 0));return this.freehand_&&e.type===Ll.POINTERDRAG&&null!==this.sketchFeature_?(this.addToDrawing_(e.coordinate),n=!1):this.freehand_&&e.type===Ll.POINTERDOWN?n=!1:r&&this.getPointerCount()<2?(n=e.type===Ll.POINTERMOVE)&&this.freehand_?(this.handlePointerMove_(e),this.shouldHandle_&&e.originalEvent.preventDefault()):("mouse"===e.originalEvent.pointerType||e.type===Ll.POINTERDRAG&&void 0===this.downTimeout_)&&this.handlePointerMove_(e):e.type===Ll.DBLCLICK&&(n=!1),t.prototype.handleEvent.call(this,e)&&n},e.prototype.handleDownEvent=function(t){return this.shouldHandle_=!this.freehand_,this.freehand_?(this.downPx_=t.pixel,this.finishCoordinate_||this.startDrawing_(t.coordinate),!0):this.condition_(t)?(this.lastDragTime_=Date.now(),this.downTimeout_=setTimeout(function(){this.handlePointerMove_(new Il(Ll.POINTERMOVE,t.map,t.originalEvent,!1,t.frameState))}.bind(this),this.dragVertexDelay_),this.downPx_=t.pixel,!0):(this.lastDragTime_=void 0,!1)},e.prototype.handleUpEvent=function(t){var e=!0;if(0===this.getPointerCount())if(this.downTimeout_&&(clearTimeout(this.downTimeout_),this.downTimeout_=void 0),this.handlePointerMove_(t),this.shouldHandle_){var r=!this.finishCoordinate_;r&&this.startDrawing_(t.coordinate),!r&&this.freehand_?this.finishDrawing():this.freehand_||r&&this.mode_!==ac||(this.atFinish_(t.pixel)?this.finishCondition_(t)&&this.finishDrawing():this.addToDrawing_(t.coordinate)),e=!1}else this.freehand_&&this.abortDrawing();return!e&&this.stopClick_&&t.preventDefault(),e},e.prototype.handlePointerMove_=function(t){if(this.pointerType_=t.originalEvent.pointerType,this.downPx_&&(!this.freehand_&&this.shouldHandle_||this.freehand_&&!this.shouldHandle_)){var e=this.downPx_,r=t.pixel,n=e[0]-r[0],i=e[1]-r[1],o=n*n+i*i;if(this.shouldHandle_=this.freehand_?o>this.squaredClickTolerance_:o<=this.squaredClickTolerance_,!this.shouldHandle_)return}this.finishCoordinate_?this.modifyDrawing_(t.coordinate):this.createOrUpdateSketchPoint_(t.coordinate.slice())},e.prototype.atFinish_=function(t){var e=!1;if(this.sketchFeature_){var r=!1,n=[this.finishCoordinate_],i=this.mode_;if(i===ac)e=!0;else if(i===uc)e=2===this.sketchCoords_.length;else if(i===sc)r=this.sketchCoords_.length>this.minPoints_;else if(i===lc){var o=this.sketchCoords_;r=o[0].length>this.minPoints_,n=[o[0][0],o[0][o[0].length-2]]}if(r)for(var a=this.getMap(),s=0,l=n.length;s<l;s++){var u=n[s],h=a.getPixelFromCoordinate(u),c=t[0]-h[0],p=t[1]-h[1],f=this.freehand_?1:this.snapTolerance_;if(e=Math.sqrt(c*c+p*p)<=f){this.finishCoordinate_=u;break}}}return e},e.prototype.createOrUpdateSketchPoint_=function(t){this.sketchPoint_?this.sketchPoint_.getGeometry().setCoordinates(t):(this.sketchPoint_=new at(new mn(t)),this.updateSketchFeatures_())},e.prototype.createOrUpdateCustomSketchLine_=function(t){this.sketchLine_||(this.sketchLine_=new at);var e=t.getLinearRing(0),r=this.sketchLine_.getGeometry();r?(r.setFlatCoordinates(e.getLayout(),e.getFlatCoordinates()),r.changed()):(r=new Zn(e.getFlatCoordinates(),e.getLayout()),this.sketchLine_.setGeometry(r))},e.prototype.startDrawing_=function(t){var e=this.getMap().getView().getProjection();this.finishCoordinate_=t,this.mode_===ac?this.sketchCoords_=t.slice():this.mode_===lc?(this.sketchCoords_=[[t.slice(),t.slice()]],this.sketchLineCoords_=this.sketchCoords_[0]):this.sketchCoords_=[t.slice(),t.slice()],this.sketchLineCoords_&&(this.sketchLine_=new at(new Zn(this.sketchLineCoords_)));var r=this.geometryFunction_(this.sketchCoords_,void 0,e);this.sketchFeature_=new at,this.geometryName_&&this.sketchFeature_.setGeometryName(this.geometryName_),this.sketchFeature_.setGeometry(r),this.updateSketchFeatures_(),this.dispatchEvent(new fc(hc,this.sketchFeature_))},e.prototype.modifyDrawing_=function(t){var e,r,n=this.getMap(),i=this.sketchFeature_.getGeometry(),o=n.getView().getProjection();(this.mode_===ac?r=this.sketchCoords_:this.mode_===lc?(r=(e=this.sketchCoords_[0])[e.length-1],this.atFinish_(n.getPixelFromCoordinate(t))&&(t=this.finishCoordinate_.slice())):r=(e=this.sketchCoords_)[e.length-1],r[0]=t[0],r[1]=t[1],this.geometryFunction_(this.sketchCoords_,i,o),this.sketchPoint_)&&this.sketchPoint_.getGeometry().setCoordinates(t);if(i.getType()===dt&&this.mode_!==lc)this.createOrUpdateCustomSketchLine_(i);else if(this.sketchLineCoords_){this.sketchLine_.getGeometry().setCoordinates(this.sketchLineCoords_)}this.updateSketchFeatures_()},e.prototype.addToDrawing_=function(t){var e,r,n=this.sketchFeature_.getGeometry(),i=this.getMap().getView().getProjection(),o=this.mode_;o===sc||o===uc?(this.finishCoordinate_=t.slice(),(r=this.sketchCoords_).length>=this.maxPoints_&&(this.freehand_?r.pop():e=!0),r.push(t.slice()),this.geometryFunction_(r,n,i)):o===lc&&((r=this.sketchCoords_[0]).length>=this.maxPoints_&&(this.freehand_?r.pop():e=!0),r.push(t.slice()),e&&(this.finishCoordinate_=r[0]),this.geometryFunction_(this.sketchCoords_,n,i)),this.createOrUpdateSketchPoint_(t.slice()),this.updateSketchFeatures_(),e&&this.finishDrawing()},e.prototype.removeLastPoint=function(){if(this.sketchFeature_){var t,e=this.sketchFeature_.getGeometry(),r=this.getMap().getView().getProjection(),n=this.mode_;if(n===sc||n===uc){if((t=this.sketchCoords_).splice(-2,1),t.length>=2){this.finishCoordinate_=t[t.length-2].slice();var i=this.finishCoordinate_.slice();t[t.length-1]=i,this.createOrUpdateSketchPoint_(i)}this.geometryFunction_(t,e,r),e.getType()===dt&&this.sketchLine_&&this.createOrUpdateCustomSketchLine_(e)}else if(n===lc){(t=this.sketchCoords_[0]).splice(-2,1);var o=this.sketchLine_.getGeometry();if(t.length>=2){i=t[t.length-2].slice();t[t.length-1]=i,this.createOrUpdateSketchPoint_(i)}o.setCoordinates(t),this.geometryFunction_(this.sketchCoords_,e,r)}1===t.length&&this.abortDrawing(),this.updateSketchFeatures_()}},e.prototype.finishDrawing=function(){var t=this.abortDrawing_();if(t){var e=this.sketchCoords_,r=t.getGeometry(),n=this.getMap().getView().getProjection();this.mode_===sc?(e.pop(),this.geometryFunction_(e,r,n)):this.mode_===lc&&(e[0].pop(),this.geometryFunction_(e,r,n),e=r.getCoordinates()),this.type_===gt?t.setGeometry(new tc([e])):this.type_===_t?t.setGeometry(new Jh([e])):this.type_===yt&&t.setGeometry(new ic([e])),this.dispatchEvent(new fc(cc,t)),this.features_&&this.features_.push(t),this.source_&&this.source_.addFeature(t)}},e.prototype.abortDrawing_=function(){this.finishCoordinate_=null;var t=this.sketchFeature_;return this.sketchFeature_=null,this.sketchPoint_=null,this.sketchLine_=null,this.overlay_.getSource().clear(!0),t},e.prototype.abortDrawing=function(){var t=this.abortDrawing_();t&&this.dispatchEvent(new fc(pc,t))},e.prototype.appendCoordinates=function(t){var e,r=this.mode_,n=!this.sketchFeature_;if(n&&this.startDrawing_(t[0]),r===sc||r===uc)e=this.sketchCoords_;else{if(r!==lc)return;e=this.sketchCoords_&&this.sketchCoords_.length?this.sketchCoords_[0]:[]}n&&e.shift(),e.pop();for(var i=0;i<t.length;i++)this.addToDrawing_(t[i]);var o=t[t.length-1];this.addToDrawing_(o),this.modifyDrawing_(o)},e.prototype.extend=function(t){var e=t.getGeometry();this.sketchFeature_=t,this.sketchCoords_=e.getCoordinates();var r=this.sketchCoords_[this.sketchCoords_.length-1];this.finishCoordinate_=r.slice(),this.sketchCoords_.push(r.slice()),this.sketchPoint_=new at(new mn(r)),this.updateSketchFeatures_(),this.dispatchEvent(new fc(hc,this.sketchFeature_))},e.prototype.updateSketchFeatures_=function(){var t=[];this.sketchFeature_&&t.push(this.sketchFeature_),this.sketchLine_&&t.push(this.sketchLine_),this.sketchPoint_&&t.push(this.sketchPoint_);var e=this.overlay_.getSource();e.clear(!0),e.addFeatures(t)},e.prototype.updateState_=function(){var t=this.getMap(),e=this.getActive();t&&e||this.abortDrawing(),this.overlay_.setMap(e?t:null)},e}(Xu);var gc=dc,_c=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),yc="extentchanged",vc=function(t){function e(e){var r=t.call(this,yc)||this;return r.extent=e,r}return _c(e,t),e}(s);function mc(){var t=ro();return function(e,r){return t[dt]}}function xc(){var t=ro();return function(e,r){return t[ct]}}function wc(t){return function(e){return Jt([t,e])}}function Sc(t,e){return t[0]==e[0]?function(r){return Jt([t,[r[0],e[1]]])}:t[1]==e[1]?function(r){return Jt([t,[e[0],r[1]]])}:null}var Cc=function(t){function e(e){var r=this,n=e||{};return(r=t.call(this,n)||this).on,r.once,r.un,r.condition_=n.condition?n.condition:Zu,r.extent_=null,r.pointerHandler_=null,r.pixelTolerance_=void 0!==n.pixelTolerance?n.pixelTolerance:10,r.snappedToVertex_=!1,r.extentFeature_=null,r.vertexFeature_=null,e||(e={}),r.extentOverlay_=new Ms({source:new tl({useSpatialIndex:!1,wrapX:!!e.wrapX}),style:e.boxStyle?e.boxStyle:mc(),updateWhileAnimating:!0,updateWhileInteracting:!0}),r.vertexOverlay_=new Ms({source:new tl({useSpatialIndex:!1,wrapX:!!e.wrapX}),style:e.pointerStyle?e.pointerStyle:xc(),updateWhileAnimating:!0,updateWhileInteracting:!0}),e.extent&&r.setExtent(e.extent),r}return _c(e,t),e.prototype.snapToVertex_=function(t,e){var r=e.getCoordinateFromPixelInternal(t),n=this.getExtentInternal();if(n){var i=function(t){return[[[t[0],t[1]],[t[0],t[3]]],[[t[0],t[3]],[t[2],t[3]]],[[t[2],t[3]],[t[2],t[1]]],[[t[2],t[1]],[t[0],t[1]]]]}(n);i.sort((function(t,e){return mr(r,t)-mr(r,e)}));var o=i[0],a=dr(r,o),s=e.getPixelFromCoordinateInternal(a);if(vr(t,s)<=this.pixelTolerance_){var l=e.getPixelFromCoordinateInternal(o[0]),u=e.getPixelFromCoordinateInternal(o[1]),h=yr(s,l),c=yr(s,u),p=Math.sqrt(Math.min(h,c));return this.snappedToVertex_=p<=this.pixelTolerance_,this.snappedToVertex_&&(a=h>c?o[1]:o[0]),a}}return null},e.prototype.handlePointerMove_=function(t){var e=t.pixel,r=t.map,n=this.snapToVertex_(e,r);n||(n=r.getCoordinateFromPixelInternal(e)),this.createOrUpdatePointerFeature_(n)},e.prototype.createOrUpdateExtentFeature_=function(t){var e=this.extentFeature_;return e?t?e.setGeometry(Dn(t)):e.setGeometry(void 0):(e=new at(t?Dn(t):{}),this.extentFeature_=e,this.extentOverlay_.getSource().addFeature(e)),e},e.prototype.createOrUpdatePointerFeature_=function(t){var e=this.vertexFeature_;e?e.getGeometry().setCoordinates(t):(e=new at(new mn(t)),this.vertexFeature_=e,this.vertexOverlay_.getSource().addFeature(e));return e},e.prototype.handleEvent=function(e){return!e.originalEvent||!this.condition_(e)||(e.type!=Ll.POINTERMOVE||this.handlingDownUpSequence||this.handlePointerMove_(e),t.prototype.handleEvent.call(this,e),!1)},e.prototype.handleDownEvent=function(t){var e=t.pixel,r=t.map,n=this.getExtentInternal(),i=this.snapToVertex_(e,r),o=function(t){var e=null,r=null;return t[0]==n[0]?e=n[2]:t[0]==n[2]&&(e=n[0]),t[1]==n[1]?r=n[3]:t[1]==n[3]&&(r=n[1]),null!==e&&null!==r?[e,r]:null};if(i&&n){var a=i[0]==n[0]||i[0]==n[2]?i[0]:null,s=i[1]==n[1]||i[1]==n[3]?i[1]:null;null!==a&&null!==s?this.pointerHandler_=wc(o(i)):null!==a?this.pointerHandler_=Sc(o([a,n[1]]),o([a,n[3]])):null!==s&&(this.pointerHandler_=Sc(o([n[0],s]),o([n[2],s])))}else i=r.getCoordinateFromPixelInternal(e),this.setExtent([i[0],i[1],i[0],i[1]]),this.pointerHandler_=wc(i);return!0},e.prototype.handleDragEvent=function(t){if(this.pointerHandler_){var e=t.coordinate;this.setExtent(this.pointerHandler_(e)),this.createOrUpdatePointerFeature_(e)}},e.prototype.handleUpEvent=function(t){this.pointerHandler_=null;var e=this.getExtentInternal();return e&&0!==_e(e)||this.setExtent(null),!1},e.prototype.setMap=function(e){this.extentOverlay_.setMap(e),this.vertexOverlay_.setMap(e),t.prototype.setMap.call(this,e)},e.prototype.getExtent=function(){return jr(this.getExtentInternal(),this.getMap().getView().getProjection())},e.prototype.getExtentInternal=function(){return this.extent_},e.prototype.setExtent=function(t){this.extent_=t||null,this.createOrUpdateExtentFeature_(t),this.dispatchEvent(new vc(this.extent_))},e}(Xu),Ec=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Tc=[0,0,0,0],bc=[],Rc="modifystart",Pc="modifyend",Oc=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.features=r,i.mapBrowserEvent=n,i}return Ec(e,t),e}(s),Fc=function(t){function e(e){var r,n=t.call(this,e)||this;if(n.on,n.once,n.un,n.boundHandleFeatureChange_=n.handleFeatureChange_.bind(n),n.condition_=e.condition?e.condition:rh,n.defaultDeleteCondition_=function(t){return function(t){var e=t.originalEvent;return e.altKey&&!(e.metaKey||e.ctrlKey)&&!e.shiftKey}(t)&&Ju(t)},n.deleteCondition_=e.deleteCondition?e.deleteCondition:n.defaultDeleteCondition_,n.insertVertexCondition_=e.insertVertexCondition?e.insertVertexCondition:Zu,n.vertexFeature_=null,n.vertexSegments_=null,n.lastPixel_=[0,0],n.ignoreNextSingleClick_=!1,n.featuresBeingModified_=null,n.rBush_=new As,n.pixelTolerance_=void 0!==e.pixelTolerance?e.pixelTolerance:10,n.snappedToVertex_=!1,n.changingFeature_=!1,n.dragSegments_=[],n.overlay_=new Ms({source:new tl({useSpatialIndex:!1,wrapX:!!e.wrapX}),style:e.style?e.style:Ac(),updateWhileAnimating:!0,updateWhileInteracting:!0}),n.SEGMENT_WRITERS_={Point:n.writePointGeometry_.bind(n),LineString:n.writeLineStringGeometry_.bind(n),LinearRing:n.writeLineStringGeometry_.bind(n),Polygon:n.writePolygonGeometry_.bind(n),MultiPoint:n.writeMultiPointGeometry_.bind(n),MultiLineString:n.writeMultiLineStringGeometry_.bind(n),MultiPolygon:n.writeMultiPolygonGeometry_.bind(n),Circle:n.writeCircleGeometry_.bind(n),GeometryCollection:n.writeGeometryCollectionGeometry_.bind(n)},n.source_=null,n.hitDetection_=null,e.features?r=e.features:e.source&&(n.source_=e.source,r=new rt(n.source_.getFeatures()),n.source_.addEventListener(Gs,n.handleSourceAdd_.bind(n)),n.source_.addEventListener(zs,n.handleSourceRemove_.bind(n))),!r)throw new Error("The modify interaction requires features, a source or a layer");return e.hitDetection&&(n.hitDetection_=e.hitDetection),n.features_=r,n.features_.forEach(n.addFeature_.bind(n)),n.features_.addEventListener(J,n.handleFeatureAdd_.bind(n)),n.features_.addEventListener(Q,n.handleFeatureRemove_.bind(n)),n.lastPointerEvent_=null,n.delta_=[0,0],n.snapToPointer_=void 0===e.snapToPointer?!n.hitDetection_:e.snapToPointer,n}return Ec(e,t),e.prototype.addFeature_=function(t){var e=t.getGeometry();if(e){var r=this.SEGMENT_WRITERS_[e.getType()];r&&r(t,e)}var n=this.getMap();n&&n.isRendered()&&this.getActive()&&this.handlePointerAtPixel_(this.lastPixel_,n),t.addEventListener(T,this.boundHandleFeatureChange_)},e.prototype.willModifyFeatures_=function(t,e){if(!this.featuresBeingModified_){this.featuresBeingModified_=new rt;for(var r=this.featuresBeingModified_.getArray(),n=0,i=e.length;n<i;++n)for(var o=e[n],a=0,s=o.length;a<s;++a){var l=o[a].feature;l&&-1===r.indexOf(l)&&this.featuresBeingModified_.push(l)}0===this.featuresBeingModified_.getLength()?this.featuresBeingModified_=null:this.dispatchEvent(new Oc(Rc,this.featuresBeingModified_,t))}},e.prototype.removeFeature_=function(t){this.removeFeatureSegmentData_(t),this.vertexFeature_&&0===this.features_.getLength()&&(this.overlay_.getSource().removeFeature(this.vertexFeature_),this.vertexFeature_=null),t.removeEventListener(T,this.boundHandleFeatureChange_)},e.prototype.removeFeatureSegmentData_=function(t){var e=this.rBush_,r=[];e.forEach((function(e){t===e.feature&&r.push(e)}));for(var n=r.length-1;n>=0;--n){for(var i=r[n],o=this.dragSegments_.length-1;o>=0;--o)this.dragSegments_[o][0]===i&&this.dragSegments_.splice(o,1);e.remove(i)}},e.prototype.setActive=function(e){this.vertexFeature_&&!e&&(this.overlay_.getSource().removeFeature(this.vertexFeature_),this.vertexFeature_=null),t.prototype.setActive.call(this,e)},e.prototype.setMap=function(e){this.overlay_.setMap(e),t.prototype.setMap.call(this,e)},e.prototype.getOverlay=function(){return this.overlay_},e.prototype.handleSourceAdd_=function(t){t.feature&&this.features_.push(t.feature)},e.prototype.handleSourceRemove_=function(t){t.feature&&this.features_.remove(t.feature)},e.prototype.handleFeatureAdd_=function(t){this.addFeature_(t.element)},e.prototype.handleFeatureChange_=function(t){if(!this.changingFeature_){var e=t.target;this.removeFeature_(e),this.addFeature_(e)}},e.prototype.handleFeatureRemove_=function(t){var e=t.element;this.removeFeature_(e)},e.prototype.writePointGeometry_=function(t,e){var r=e.getCoordinates(),n={feature:t,geometry:e,segment:[r,r]};this.rBush_.insert(e.getExtent(),n)},e.prototype.writeMultiPointGeometry_=function(t,e){for(var r=e.getCoordinates(),n=0,i=r.length;n<i;++n){var o=r[n],a={feature:t,geometry:e,depth:[n],index:n,segment:[o,o]};this.rBush_.insert(e.getExtent(),a)}},e.prototype.writeLineStringGeometry_=function(t,e){for(var r=e.getCoordinates(),n=0,i=r.length-1;n<i;++n){var o=r.slice(n,n+2),a={feature:t,geometry:e,index:n,segment:o};this.rBush_.insert(Jt(o),a)}},e.prototype.writeMultiLineStringGeometry_=function(t,e){for(var r=e.getCoordinates(),n=0,i=r.length;n<i;++n)for(var o=r[n],a=0,s=o.length-1;a<s;++a){var l=o.slice(a,a+2),u={feature:t,geometry:e,depth:[n],index:a,segment:l};this.rBush_.insert(Jt(l),u)}},e.prototype.writePolygonGeometry_=function(t,e){for(var r=e.getCoordinates(),n=0,i=r.length;n<i;++n)for(var o=r[n],a=0,s=o.length-1;a<s;++a){var l=o.slice(a,a+2),u={feature:t,geometry:e,depth:[n],index:a,segment:l};this.rBush_.insert(Jt(l),u)}},e.prototype.writeMultiPolygonGeometry_=function(t,e){for(var r=e.getCoordinates(),n=0,i=r.length;n<i;++n)for(var o=r[n],a=0,s=o.length;a<s;++a)for(var l=o[a],u=0,h=l.length-1;u<h;++u){var c=l.slice(u,u+2),p={feature:t,geometry:e,depth:[a,n],index:u,segment:c};this.rBush_.insert(Jt(c),p)}},e.prototype.writeCircleGeometry_=function(t,e){var r=e.getCenter(),n={feature:t,geometry:e,index:0,segment:[r,r]},i={feature:t,geometry:e,index:1,segment:[r,r]},o=[n,i];n.featureSegments=o,i.featureSegments=o,this.rBush_.insert(le(r),n);var a=e;this.rBush_.insert(a.getExtent(),i)},e.prototype.writeGeometryCollectionGeometry_=function(t,e){for(var r=e.getGeometriesArray(),n=0;n<r.length;++n){var i=r[n];(0,this.SEGMENT_WRITERS_[i.getType()])(t,i)}},e.prototype.createOrUpdateVertexFeature_=function(t,e,r){var n=this.vertexFeature_;n?n.getGeometry().setCoordinates(t):(n=new at(new mn(t)),this.vertexFeature_=n,this.overlay_.getSource().addFeature(n));return n.set("features",e),n.set("geometries",r),n},e.prototype.handleEvent=function(e){return!e.originalEvent||(this.lastPointerEvent_=e,e.map.getView().getInteracting()||e.type!=Ll.POINTERMOVE||this.handlingDownUpSequence||this.handlePointerMove_(e),this.vertexFeature_&&this.deleteCondition_(e)&&(r=!(e.type!=Ll.SINGLECLICK||!this.ignoreNextSingleClick_)||this.removePoint()),e.type==Ll.SINGLECLICK&&(this.ignoreNextSingleClick_=!1),t.prototype.handleEvent.call(this,e)&&!r);var r},e.prototype.handleDragEvent=function(t){this.ignoreNextSingleClick_=!1,this.willModifyFeatures_(t,this.dragSegments_);for(var e=[t.coordinate[0]+this.delta_[0],t.coordinate[1]+this.delta_[1]],r=[],n=[],i=0,o=this.dragSegments_.length;i<o;++i){var a=this.dragSegments_[i],s=a[0],l=s.feature;-1===r.indexOf(l)&&r.push(l);var u=s.geometry;-1===n.indexOf(u)&&n.push(u);for(var h=s.depth,c=void 0,p=s.segment,f=a[1];e.length<u.getStride();)e.push(p[f][e.length]);switch(u.getType()){case ct:c=e,p[0]=e,p[1]=e;break;case gt:(c=u.getCoordinates())[s.index]=e,p[0]=e,p[1]=e;break;case pt:(c=u.getCoordinates())[s.index+f]=e,p[f]=e;break;case _t:case dt:(c=u.getCoordinates())[h[0]][s.index+f]=e,p[f]=e;break;case yt:(c=u.getCoordinates())[h[1]][h[0]][s.index+f]=e,p[f]=e;break;case mt:if(p[0]=e,p[1]=e,0===s.index)this.changingFeature_=!0,u.setCenter(e),this.changingFeature_=!1;else{this.changingFeature_=!0;t.map.getView().getProjection();var d=vr(kr(u.getCenter()),kr(e));u.setRadius(d),this.changingFeature_=!1}}c&&this.setGeometryCoordinates_(u,c)}this.createOrUpdateVertexFeature_(e,r,n)},e.prototype.handleDownEvent=function(t){if(!this.condition_(t))return!1;var e=t.coordinate;this.handlePointerAtPixel_(t.pixel,t.map,e),this.dragSegments_.length=0,this.featuresBeingModified_=null;var r=this.vertexFeature_;if(r){var i=t.map.getView().getProjection(),o=[],a=r.getGeometry().getCoordinates(),s=Jt([a]),l=this.rBush_.getInExtent(s),u={};l.sort(Ic);for(var h=0,c=l.length;h<c;++h){var p=l[h],f=p.segment,d=n(p.geometry),g=p.depth;if(g&&(d+="-"+g.join("-")),u[d]||(u[d]=new Array(2)),p.geometry.getType()!==mt||1!==p.index)if(!gr(f[0],a)||u[d][0])if(!gr(f[1],a)||u[d][1])n(f)in this.vertexSegments_&&!u[d][0]&&!u[d][1]&&this.insertVertexCondition_(t)&&o.push(p);else{if((p.geometry.getType()===pt||p.geometry.getType()===_t)&&u[d][0]&&0===u[d][0].index)continue;this.dragSegments_.push([p,1]),u[d][1]=p}else this.dragSegments_.push([p,0]),u[d][0]=p;else gr(Mc(e,p,i),a)&&!u[d][0]&&(this.dragSegments_.push([p,0]),u[d][0]=p)}o.length&&this.willModifyFeatures_(t,[o]);for(var _=o.length-1;_>=0;--_)this.insertVertex_(o[_],a)}return!!this.vertexFeature_},e.prototype.handleUpEvent=function(t){for(var e=this.dragSegments_.length-1;e>=0;--e){var r=this.dragSegments_[e][0],n=r.geometry;if(n.getType()===mt){var i=n.getCenter(),o=r.featureSegments[0],a=r.featureSegments[1];o.segment[0]=i,o.segment[1]=i,a.segment[0]=i,a.segment[1]=i,this.rBush_.update(le(i),o);var s=n;this.rBush_.update(s.getExtent(),a)}else this.rBush_.update(Jt(r.segment),r)}return this.featuresBeingModified_&&(this.dispatchEvent(new Oc(Pc,this.featuresBeingModified_,t)),this.featuresBeingModified_=null),!1},e.prototype.handlePointerMove_=function(t){this.lastPixel_=t.pixel,this.handlePointerAtPixel_(t.pixel,t.map,t.coordinate)},e.prototype.handlePointerAtPixel_=function(t,e,r){var i,o,a=this,s=r||e.getCoordinateFromPixel(t),l=e.getView().getProjection();if(this.hitDetection_){var u="object"==typeof this.hitDetection_?function(t){return t===a.hitDetection_}:void 0;e.forEachFeatureAtPixel(t,(function(t,e,r){if((r=r||t.getGeometry()).getType()===ct&&c(a.features_.getArray(),t)){o=r;var n=r.getFlatCoordinates().slice(0,2);i=[{feature:t,geometry:r,segment:[n,n]}]}return!0}),{layerFilter:u})}if(!i){var h=jr(Qt(Gr(le(s,Tc)),e.getView().getResolution()*this.pixelTolerance_,Tc));i=this.rBush_.getInExtent(h)}if(i&&i.length>0){var p=i.sort((function(t,e){return Lc(s,t,l)-Lc(s,e,l)}))[0],f=p.segment,d=Mc(s,p,l),g=e.getPixelFromCoordinate(d),_=vr(t,g);if(o||_<=this.pixelTolerance_){var y={};if(y[n(f)]=!0,this.snapToPointer_||(this.delta_[0]=d[0]-s[0],this.delta_[1]=d[1]-s[1]),p.geometry.getType()===mt&&1===p.index)this.snappedToVertex_=!0,this.createOrUpdateVertexFeature_(d,[p.feature],[p.geometry]);else{var v=e.getPixelFromCoordinate(f[0]),m=e.getPixelFromCoordinate(f[1]),x=yr(g,v),w=yr(g,m);_=Math.sqrt(Math.min(x,w)),this.snappedToVertex_=_<=this.pixelTolerance_,this.snappedToVertex_&&(d=x>w?f[1]:f[0]),this.createOrUpdateVertexFeature_(d,[p.feature],[p.geometry]);var S={};S[n(p.geometry)]=!0;for(var C=1,E=i.length;C<E;++C){var T=i[C].segment;if(!(gr(f[0],T[0])&&gr(f[1],T[1])||gr(f[0],T[1])&&gr(f[1],T[0])))break;var b=n(i[C].geometry);b in S||(S[b]=!0,y[n(T)]=!0)}}return void(this.vertexSegments_=y)}}this.vertexFeature_&&(this.overlay_.getSource().removeFeature(this.vertexFeature_),this.vertexFeature_=null)},e.prototype.insertVertex_=function(t,e){for(var r,n=t.segment,i=t.feature,o=t.geometry,a=t.depth,s=t.index;e.length<o.getStride();)e.push(0);switch(o.getType()){case _t:case dt:(r=o.getCoordinates())[a[0]].splice(s+1,0,e);break;case yt:(r=o.getCoordinates())[a[1]][a[0]].splice(s+1,0,e);break;case pt:(r=o.getCoordinates()).splice(s+1,0,e);break;default:return}this.setGeometryCoordinates_(o,r);var l=this.rBush_;l.remove(t),this.updateSegmentIndices_(o,s,a,1);var u={segment:[n[0],e],feature:i,geometry:o,depth:a,index:s};l.insert(Jt(u.segment),u),this.dragSegments_.push([u,1]);var h={segment:[e,n[1]],feature:i,geometry:o,depth:a,index:s+1};l.insert(Jt(h.segment),h),this.dragSegments_.push([h,0]),this.ignoreNextSingleClick_=!0},e.prototype.removePoint=function(){if(this.lastPointerEvent_&&this.lastPointerEvent_.type!=Ll.POINTERDRAG){var t=this.lastPointerEvent_;this.willModifyFeatures_(t,this.dragSegments_);var e=this.removeVertex_();return this.dispatchEvent(new Oc(Pc,this.featuresBeingModified_,t)),this.featuresBeingModified_=null,e}return!1},e.prototype.removeVertex_=function(){var t,e,r,i,o,a,s,l,u,h,c,p=this.dragSegments_,f={},d=!1;for(o=p.length-1;o>=0;--o)c=n((h=(r=p[o])[0]).feature),h.depth&&(c+="-"+h.depth.join("-")),c in f||(f[c]={}),0===r[1]?(f[c].right=h,f[c].index=h.index):1==r[1]&&(f[c].left=h,f[c].index=h.index+1);for(c in f){switch(u=f[c].right,s=f[c].left,(l=(a=f[c].index)-1)<0&&(l=0),t=e=(i=(h=void 0!==s?s:u).geometry).getCoordinates(),d=!1,i.getType()){case _t:e[h.depth[0]].length>2&&(e[h.depth[0]].splice(a,1),d=!0);break;case pt:e.length>2&&(e.splice(a,1),d=!0);break;case yt:t=t[h.depth[1]];case dt:(t=t[h.depth[0]]).length>4&&(a==t.length-1&&(a=0),t.splice(a,1),d=!0,0===a&&(t.pop(),t.push(t[0]),l=t.length-1))}if(d){this.setGeometryCoordinates_(i,e);var g=[];if(void 0!==s&&(this.rBush_.remove(s),g.push(s.segment[0])),void 0!==u&&(this.rBush_.remove(u),g.push(u.segment[1])),void 0!==s&&void 0!==u){var _={depth:h.depth,feature:h.feature,geometry:h.geometry,index:l,segment:g};this.rBush_.insert(Jt(_.segment),_)}this.updateSegmentIndices_(i,a,h.depth,-1),this.vertexFeature_&&(this.overlay_.getSource().removeFeature(this.vertexFeature_),this.vertexFeature_=null),p.length=0}}return d},e.prototype.setGeometryCoordinates_=function(t,e){this.changingFeature_=!0,t.setCoordinates(e),this.changingFeature_=!1},e.prototype.updateSegmentIndices_=function(t,e,r,n){this.rBush_.forEachInExtent(t.getExtent(),(function(i){i.geometry===t&&(void 0===r||void 0===i.depth||g(i.depth,r))&&i.index>e&&(i.index+=n)}))},e}(Xu);function Ic(t,e){return t.index-e.index}function Lc(t,e,r){var n=e.geometry;if(n.getType()===mt){var i=n;if(1===e.index){null;var o=yr(i.getCenter(),kr(t)),a=Math.sqrt(o)-i.getRadius();return a*a}}var s=kr(t);return bc[0]=kr(e.segment[0]),bc[1]=kr(e.segment[1]),mr(s,bc)}function Mc(t,e,r){var n=e.geometry;if(n.getType()===mt&&1===e.index){var i=n;return Dr(i.getClosestPoint(kr(t)))}var o=kr(t);return bc[0]=kr(e.segment[0]),bc[1]=kr(e.segment[1]),Dr(dr(o,bc))}function Ac(){var t=ro();return function(e,r){return t[ct]}}var Dc=Fc,kc=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),jc="select",Gc=function(t){function e(e,r,n,i){var o=t.call(this,e)||this;return o.selected=r,o.deselected=n,o.mapBrowserEvent=i,o}return kc(e,t),e}(s),Nc={},Bc=function(t){function e(e){var r=t.call(this)||this;r.on,r.once,r.un;var n,i,o=e||{};if(r.boundAddFeature_=r.addFeature_.bind(r),r.boundRemoveFeature_=r.removeFeature_.bind(r),r.condition_=o.condition?o.condition:Ju,r.addCondition_=o.addCondition?o.addCondition:qu,r.removeCondition_=o.removeCondition?o.removeCondition:qu,r.toggleCondition_=o.toggleCondition?o.toggleCondition:$u,r.multi_=!!o.multi&&o.multi,r.filter_=o.filter?o.filter:_,r.hitTolerance_=o.hitTolerance?o.hitTolerance:0,r.style_=void 0!==o.style?o.style:(d((n=ro())[dt],n[pt]),d(n[vt],n[pt]),function(t){return t.getGeometry()?n[t.getGeometry().getType()]:null}),r.features_=o.features||new rt,o.layers)if("function"==typeof o.layers)i=o.layers;else{var a=o.layers;i=function(t){return c(a,t)}}else i=_;return r.layerFilter_=i,r.featureLayerAssociation_={},r}return kc(e,t),e.prototype.addFeatureLayerAssociation_=function(t,e){this.featureLayerAssociation_[n(t)]=e},e.prototype.getFeatures=function(){return this.features_},e.prototype.getHitTolerance=function(){return this.hitTolerance_},e.prototype.getLayer=function(t){return this.featureLayerAssociation_[n(t)]},e.prototype.setHitTolerance=function(t){this.hitTolerance_=t},e.prototype.setMap=function(e){this.getMap()&&this.style_&&this.features_.forEach(this.restorePreviousStyle_.bind(this)),t.prototype.setMap.call(this,e),e?(this.features_.addEventListener(J,this.boundAddFeature_),this.features_.addEventListener(Q,this.boundRemoveFeature_),this.style_&&this.features_.forEach(this.applySelectedStyle_.bind(this))):(this.features_.removeEventListener(J,this.boundAddFeature_),this.features_.removeEventListener(Q,this.boundRemoveFeature_))},e.prototype.addFeature_=function(t){var e=t.element;if(this.style_&&this.applySelectedStyle_(e),!this.getLayer(e)){var r=this.getMap().getAllLayers().find((function(t){if(t instanceof Ms&&t.getSource()&&t.getSource().hasFeature(e))return t}));r&&this.addFeatureLayerAssociation_(e,r)}},e.prototype.removeFeature_=function(t){var e=t.element;this.style_&&this.restorePreviousStyle_(e)},e.prototype.getStyle=function(){return this.style_},e.prototype.applySelectedStyle_=function(t){var e=n(t);e in Nc||(Nc[e]=t.getStyle()),t.setStyle(this.style_)},e.prototype.restorePreviousStyle_=function(t){for(var r=this.getMap().getInteractions().getArray(),i=r.length-1;i>=0;--i){var o=r[i];if(o!==this&&o instanceof e&&o.getStyle()&&-1!==o.getFeatures().getArray().lastIndexOf(t))return void t.setStyle(o.getStyle())}var a=n(t);t.setStyle(Nc[a]),delete Nc[a]},e.prototype.removeFeatureLayerAssociation_=function(t){delete this.featureLayerAssociation_[n(t)]},e.prototype.handleEvent=function(t){if(!this.condition_(t))return!0;var e=this.addCondition_(t),r=this.removeCondition_(t),n=this.toggleCondition_(t),i=!e&&!r&&!n,o=t.map,a=this.getFeatures(),s=[],l=[];if(i){x(this.featureLayerAssociation_),o.forEachFeatureAtPixel(t.pixel,function(t,e){if(this.filter_(t,e))return this.addFeatureLayerAssociation_(t,e),l.push(t),!this.multi_}.bind(this),{layerFilter:this.layerFilter_,hitTolerance:this.hitTolerance_});for(var u=a.getLength()-1;u>=0;--u){var h=a.item(u),p=l.indexOf(h);p>-1?l.splice(p,1):(a.remove(h),s.push(h))}0!==l.length&&a.extend(l)}else{o.forEachFeatureAtPixel(t.pixel,function(t,i){if(this.filter_(t,i))return!e&&!n||c(a.getArray(),t)?(r||n)&&c(a.getArray(),t)&&(s.push(t),this.removeFeatureLayerAssociation_(t)):(this.addFeatureLayerAssociation_(t,i),l.push(t)),!this.multi_}.bind(this),{layerFilter:this.layerFilter_,hitTolerance:this.hitTolerance_});for(var f=s.length-1;f>=0;--f)a.remove(s[f]);a.extend(l)}return(l.length>0||s.length>0)&&this.dispatchEvent(new Gc(jc,l,s,t)),!0},e}(Nu);var zc=Bc,Uc=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}();function Vc(t){return t.feature?t.feature:t.element?t.element:void 0}var Xc=[],Wc=function(t){function e(e){var r=this,n=e||{},i=n;return i.handleDownEvent||(i.handleDownEvent=_),i.stopDown||(i.stopDown=y),(r=t.call(this,i)||this).source_=n.source?n.source:null,r.vertex_=void 0===n.vertex||n.vertex,r.edge_=void 0===n.edge||n.edge,r.features_=n.features?n.features:null,r.featuresListenerKeys_=[],r.featureChangeListenerKeys_={},r.indexedFeaturesExtents_={},r.pendingFeatures_={},r.pixelTolerance_=void 0!==n.pixelTolerance?n.pixelTolerance:10,r.rBush_=new As,r.SEGMENT_WRITERS_={Point:r.writePointGeometry_.bind(r),LineString:r.writeLineStringGeometry_.bind(r),LinearRing:r.writeLineStringGeometry_.bind(r),Polygon:r.writePolygonGeometry_.bind(r),MultiPoint:r.writeMultiPointGeometry_.bind(r),MultiLineString:r.writeMultiLineStringGeometry_.bind(r),MultiPolygon:r.writeMultiPolygonGeometry_.bind(r),GeometryCollection:r.writeGeometryCollectionGeometry_.bind(r),Circle:r.writeCircleGeometry_.bind(r)},r}return Uc(e,t),e.prototype.addFeature=function(t,e){var r=void 0===e||e,i=n(t),o=t.getGeometry();if(o){var a=this.SEGMENT_WRITERS_[o.getType()];a&&(this.indexedFeaturesExtents_[i]=o.getExtent([1/0,1/0,-1/0,-1/0]),a(t,o))}r&&(this.featureChangeListenerKeys_[i]=N(t,T,this.handleFeatureChange_,this))},e.prototype.forEachFeatureAdd_=function(t){this.addFeature(t)},e.prototype.forEachFeatureRemove_=function(t){this.removeFeature(t)},e.prototype.getFeatures_=function(){var t;return this.features_?t=this.features_:this.source_&&(t=this.source_.getFeatures()),t},e.prototype.handleEvent=function(e){var r=this.snapTo(e.pixel,e.coordinate,e.map);return r.snapped&&(e.coordinate=r.vertex.slice(0,2),e.pixel=r.vertexPixel),t.prototype.handleEvent.call(this,e)},e.prototype.handleFeatureAdd_=function(t){var e=Vc(t);this.addFeature(e)},e.prototype.handleFeatureRemove_=function(t){var e=Vc(t);this.removeFeature(e)},e.prototype.handleFeatureChange_=function(t){var e=t.target;if(this.handlingDownUpSequence){var r=n(e);r in this.pendingFeatures_||(this.pendingFeatures_[r]=e)}else this.updateFeature_(e)},e.prototype.handleUpEvent=function(t){var e=w(this.pendingFeatures_);return e.length&&(e.forEach(this.updateFeature_.bind(this)),this.pendingFeatures_={}),!1},e.prototype.removeFeature=function(t,e){var r=void 0===e||e,i=n(t),o=this.indexedFeaturesExtents_[i];if(o){var a=this.rBush_,s=[];a.forEachInExtent(o,(function(e){t===e.feature&&s.push(e)}));for(var l=s.length-1;l>=0;--l)a.remove(s[l])}r&&(z(this.featureChangeListenerKeys_[i]),delete this.featureChangeListenerKeys_[i])},e.prototype.setMap=function(e){var r=this.getMap(),n=this.featuresListenerKeys_,i=this.getFeatures_();r&&(n.forEach(z),n.length=0,i.forEach(this.forEachFeatureRemove_.bind(this))),t.prototype.setMap.call(this,e),e&&(this.features_?n.push(N(this.features_,J,this.handleFeatureAdd_,this),N(this.features_,Q,this.handleFeatureRemove_,this)):this.source_&&n.push(N(this.source_,Gs,this.handleFeatureAdd_,this),N(this.source_,zs,this.handleFeatureRemove_,this)),i.forEach(this.forEachFeatureAdd_.bind(this)))},e.prototype.snapTo=function(t,e,r){var n=Jt([r.getCoordinateFromPixel([t[0]-this.pixelTolerance_,t[1]+this.pixelTolerance_]),r.getCoordinateFromPixel([t[0]+this.pixelTolerance_,t[1]-this.pixelTolerance_])]),i=this.rBush_.getInExtent(n);this.vertex_&&!this.edge_&&(i=i.filter((function(t){return t.feature.getGeometry().getType()!==mt})));var 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e=[],r=t.firstChild;r;r=r.nextSibling)r.nodeType==Node.ELEMENT_NODE&&d(e,this.readRegionFromNode(r));return e},e.prototype.readRegionFromNode=function(t){for(var e=[],r=t.firstElementChild;r;r=r.nextElementSibling)if(c(If,r.namespaceURI)&&"Region"==r.localName){var n=af({},kf,r,[]);e.push(n)}for(r=t.firstElementChild;r;r=r.nextElementSibling){var i=r.localName;!c(If,r.namespaceURI)||"Document"!=i&&"Folder"!=i&&"kml"!=i||d(e,this.readRegionFromNode(r))}return e},e.prototype.writeFeaturesNode=function(t,e){e=this.adaptOptions(e);var r=Xp(If[4],"kml"),n="http://www.w3.org/2000/xmlns/";r.setAttributeNS(n,"xmlns:gx",Ff[0]),r.setAttributeNS(n,"xmlns:xsi",Vp),r.setAttributeNS(Vp,"xsi:schemaLocation","http://www.opengis.net/kml/2.2 https://developers.google.com/kml/schema/kml22gx.xsd");var i={node:r},o={};t.length>1?o.Document=t:1==t.length&&(o.Placemark=t[0]);var a=jf[r.namespaceURI],s=rf(o,a);return sf(i,Gf,ef,s,[e],a,this),r},e}(ff);function Zf(t,e,r){return 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t=Eg.read(this.buf,this.pos,!0,23,4);return this.pos+=4,t},readDouble:function(){var t=Eg.read(this.buf,this.pos,!0,52,8);return this.pos+=8,t},readVarint:function(t){var e,r,n=this.buf;return e=127&(r=n[this.pos++]),r<128?e:(e|=(127&(r=n[this.pos++]))<<7,r<128?e:(e|=(127&(r=n[this.pos++]))<<14,r<128?e:(e|=(127&(r=n[this.pos++]))<<21,r<128?e:function(t,e,r){var n,i,o=r.buf;if(i=o[r.pos++],n=(112&i)>>4,i<128)return Fg(t,n,e);if(i=o[r.pos++],n|=(127&i)<<3,i<128)return Fg(t,n,e);if(i=o[r.pos++],n|=(127&i)<<10,i<128)return Fg(t,n,e);if(i=o[r.pos++],n|=(127&i)<<17,i<128)return Fg(t,n,e);if(i=o[r.pos++],n|=(127&i)<<24,i<128)return Fg(t,n,e);if(i=o[r.pos++],n|=(1&i)<<31,i<128)return Fg(t,n,e);throw new Error("Expected varint not more than 10 bytes")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=this.pos;return this.pos=t,t-e>=12&&Pg?function(t,e,r){return Pg.decode(t.subarray(e,r))}(this.buf,e,t):function(t,e,r){var n="",i=e;for(;i<r;){var o,a,s,l=t[i],u=null,h=l>239?4:l>223?3:l>191?2:1;if(i+h>r)break;1===h?l<128&&(u=l):2===h?128==(192&(o=t[i+1]))&&(u=(31&l)<<6|63&o)<=127&&(u=null):3===h?(o=t[i+1],a=t[i+2],128==(192&o)&&128==(192&a)&&((u=(15&l)<<12|(63&o)<<6|63&a)<=2047||u>=55296&&u<=57343)&&(u=null)):4===h&&(o=t[i+1],a=t[i+2],s=t[i+3],128==(192&o)&&128==(192&a)&&128==(192&s)&&((u=(15&l)<<18|(63&o)<<12|(63&a)<<6|63&s)<=65535||u>=1114112)&&(u=null)),null===u?(u=65533,h=1):u>65535&&(u-=65536,n+=String.fromCharCode(u>>>10&1023|55296),u=56320|1023&u),n+=String.fromCharCode(u),i+=h}return n}(this.buf,e,t)},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==Tg.Bytes)return t.push(this.readVarint(e));var r=Og(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==Tg.Bytes)return t.push(this.readSVarint());var e=Og(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==Tg.Bytes)return t.push(this.readBoolean());var e=Og(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==Tg.Bytes)return t.push(this.readFloat());var e=Og(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==Tg.Bytes)return t.push(this.readDouble());var e=Og(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==Tg.Bytes)return t.push(this.readFixed32());var e=Og(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==Tg.Bytes)return t.push(this.readSFixed32());var e=Og(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Tg.Bytes)return t.push(this.readFixed64());var e=Og(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Tg.Bytes)return t.push(this.readSFixed64());var e=Og(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Tg.Varint)for(;this.buf[this.pos++]>127;);else if(e===Tg.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Tg.Fixed32)this.pos+=4;else{if(e!==Tg.Fixed64)throw new Error("Unimplemented type: "+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Ug(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Ug(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Ug(this.buf,-1&t,this.pos),Ug(this.buf,Math.floor(t*Rg),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Ug(this.buf,-1&t,this.pos),Ug(this.buf,Math.floor(t*Rg),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0));if(t>=0x10000000000000000||t<-0x10000000000000000)throw new Error("Given varint doesn't fit into 10 bytes");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,o=0;o<e.length;o++){if((n=e.charCodeAt(o))>55295&&n<57344){if(!i){n>56319||o+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Ig(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Eg.write(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Eg.write(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Ig(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Tg.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Lg,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Mg,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,kg,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Ag,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Dg,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,jg,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Gg,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Ng,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Bg,e)},writeBytesField:function(t,e){this.writeTag(t,Tg.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Tg.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Tg.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Tg.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Tg.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Tg.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Tg.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Tg.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Tg.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Tg.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Xg=[1,0,0,1,0,0],Wg=function(){function t(t,e,r,n,i){this.styleFunction,this.extent_,this.id_=i,this.type_=t,this.flatCoordinates_=e,this.flatInteriorPoints_=null,this.flatMidpoints_=null,this.ends_=r,this.properties_=n}return t.prototype.get=function(t){return this.properties_[t]},t.prototype.getExtent=function(){return this.extent_||(this.extent_=this.type_===ct?le(this.flatCoordinates_):ue(this.flatCoordinates_,0,this.flatCoordinates_.length,2)),this.extent_},t.prototype.getFlatInteriorPoint=function(){if(!this.flatInteriorPoints_){var t=me(this.getExtent());this.flatInteriorPoints_=Cn(this.flatCoordinates_,0,this.ends_,2,t,0)}return this.flatInteriorPoints_},t.prototype.getFlatInteriorPoints=function(){if(!this.flatInteriorPoints_){var t=ec(this.flatCoordinates_,0,this.ends_,2);this.flatInteriorPoints_=En(this.flatCoordinates_,0,this.ends_,2,t)}return this.flatInteriorPoints_},t.prototype.getFlatMidpoint=function(){return this.flatMidpoints_||(this.flatMidpoints_=Vn(this.flatCoordinates_,0,this.flatCoordinates_.length,2,.5)),this.flatMidpoints_},t.prototype.getFlatMidpoints=function(){if(!this.flatMidpoints_){this.flatMidpoints_=[];for(var t=this.flatCoordinates_,e=0,r=this.ends_,n=0,i=r.length;n<i;++n){var o=r[n],a=Vn(t,e,o,2,.5);d(this.flatMidpoints_,a),e=o}}return this.flatMidpoints_},t.prototype.getId=function(){return this.id_},t.prototype.getOrientedFlatCoordinates=function(){return this.flatCoordinates_},t.prototype.getGeometry=function(){return this},t.prototype.getSimplifiedGeometry=function(t){return this},t.prototype.simplifyTransformed=function(t,e){return this},t.prototype.getProperties=function(){return this.properties_},t.prototype.getStride=function(){return 2},t.prototype.getStyleFunction=function(){return this.styleFunction},t.prototype.getType=function(){return this.type_},t.prototype.transform=function(t){var e=(t=Er(t)).getExtent(),r=t.getWorldExtent();if(e&&r){var n=Se(r)/Se(e);Gt(Xg,r[0],r[3],n,-n,0,0,0),Nr(this.flatCoordinates_,0,this.flatCoordinates_.length,2,Xg,this.flatCoordinates_)}},t.prototype.getEnds=function(){return this.ends_},t}();Wg.prototype.getEndss=Wg.prototype.getEnds,Wg.prototype.getFlatCoordinates=Wg.prototype.getOrientedFlatCoordinates;var Yg=Wg,Kg=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Zg=function(t){function e(e){var r=t.call(this)||this,n=e||{};return r.dataProjection=new 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r;1===t?r=1===e?ct:gt:2===t?r=1===e?pt:_t:3===t&&(r=dt);return r}(i,l.length);if(this.featureClass_===Yg)(n=new this.featureClass_(u,s,l,a,o)).transform(r.dataProjection);else{var h=void 0;if(u==dt){for(var c=[],p=0,f=0,d=0,g=l.length;d<g;++d){var _=l[d];if(On(s,p,_,2)){if(0===c.length)continue;c[c.length-1].push(l[f])}else c.push(l.slice(f,d+1));f=d+1,p=_}h=c.length>1?new ic(s,st,c):new An(s,st,l)}else h=u===ct?new mn(s,st):u===pt?new Zn(s,st):u===dt?new An(s,st,l):u===gt?new tc(s,st):u===_t?new Jh(s,st,l):null;n=new(0,this.featureClass_),this.geometryName_&&n.setGeometryName(this.geometryName_);var y=Ip(h,!1,r);n.setGeometry(y),n.setId(o),n.setProperties(a,!0)}return n},e.prototype.getType=function(){return Ys},e.prototype.readFeatures=function(t,e){var r=this.layers_,n=this.adaptOptions(e),i=Er(n.dataProjection);i.setWorldExtent(n.extent),n.dataProjection=i;var o=new Cg(t),a=o.readFields(Hg,{}),s=[];for(var l in a)if(!r||-1!=r.indexOf(l)){var 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n=r.readVarint()+r.pos;r.pos<n;){var i=e.layer.keys[r.readVarint()],o=e.layer.values[r.readVarint()];e.properties[i]=o}else 3==t?e.type=r.readVarint():4==t&&(e.geometry=r.pos)}function Qg(t,e,r){t.pos=e.features[r];var n=t.readVarint()+t.pos,i={layer:e,type:0,properties:{}};return t.readFields(Jg,i,n),i}var $g=Zg,t_=34962,e_=34963,r_=35044,n_=35048,i_=["experimental-webgl","webgl","webkit-3d","moz-webgl"];function o_(t,e){for(var r=m({preserveDrawingBuffer:!0},e),n=i_.length,i=0;i<n;++i)try{var o=t.getContext(i_[i],r);if(o)return o}catch(t){}return null}var a_=r_,s_=function(){function t(t,e){this.array=null,this.type=t,nt(t===t_||t===e_,62),this.usage=void 0!==e?e:a_}return t.prototype.ofSize=function(t){this.array=new(l_(this.type))(t)},t.prototype.fromArray=function(t){var e=l_(this.type);this.array=e.from?e.from(t):new e(t)},t.prototype.fromArrayBuffer=function(t){this.array=new(l_(this.type))(t)},t.prototype.getType=function(){return this.type},t.prototype.getArray=function(){return this.array},t.prototype.getUsage=function(){return this.usage},t.prototype.getSize=function(){return this.array?this.array.length:0},t}();function l_(t){switch(t){case t_:return Float32Array;case e_:return Uint32Array;default:return Float32Array}}var u_=s_,h_="webglcontextlost",c_="webglcontextrestored",p_=function(){function t(t){this.gl_=t.webGlContext;var e=this.gl_;this.scaleRatio_=t.scaleRatio||1,this.renderTargetTexture_=e.createTexture(),this.renderTargetTextureSize_=null,this.frameBuffer_=e.createFramebuffer();var r=e.createShader(e.VERTEX_SHADER);e.shaderSource(r,t.vertexShader||"\n  precision mediump float;\n  \n  attribute vec2 a_position;\n  varying vec2 v_texCoord;\n  varying vec2 v_screenCoord;\n  \n  uniform vec2 u_screenSize;\n   \n  void main() {\n    v_texCoord = a_position * 0.5 + 0.5;\n    v_screenCoord = v_texCoord * u_screenSize;\n    gl_Position = vec4(a_position, 0.0, 1.0);\n  }\n"),e.compileShader(r);var n=e.createShader(e.FRAGMENT_SHADER);e.shaderSource(n,t.fragmentShader||"\n  precision mediump float;\n   \n  uniform sampler2D u_image;\n  uniform float u_opacity;\n   \n  varying vec2 v_texCoord;\n   \n  void main() {\n    gl_FragColor = texture2D(u_image, v_texCoord) * u_opacity;\n  }\n"),e.compileShader(n),this.renderTargetProgram_=e.createProgram(),e.attachShader(this.renderTargetProgram_,r),e.attachShader(this.renderTargetProgram_,n),e.linkProgram(this.renderTargetProgram_),this.renderTargetVerticesBuffer_=e.createBuffer();e.bindBuffer(e.ARRAY_BUFFER,this.renderTargetVerticesBuffer_),e.bufferData(e.ARRAY_BUFFER,new Float32Array([-1,-1,1,-1,-1,1,1,-1,1,1,-1,1]),e.STATIC_DRAW),this.renderTargetAttribLocation_=e.getAttribLocation(this.renderTargetProgram_,"a_position"),this.renderTargetUniformLocation_=e.getUniformLocation(this.renderTargetProgram_,"u_screenSize"),this.renderTargetOpacityLocation_=e.getUniformLocation(this.renderTargetProgram_,"u_opacity"),this.renderTargetTextureLocation_=e.getUniformLocation(this.renderTargetProgram_,"u_image"),this.uniforms_=[],t.uniforms&&Object.keys(t.uniforms).forEach(function(r){this.uniforms_.push({value:t.uniforms[r],location:e.getUniformLocation(this.renderTargetProgram_,r)})}.bind(this))}return t.prototype.getGL=function(){return this.gl_},t.prototype.init=function(t){var e=this.getGL(),r=[e.drawingBufferWidth*this.scaleRatio_,e.drawingBufferHeight*this.scaleRatio_];if(e.bindFramebuffer(e.FRAMEBUFFER,this.getFrameBuffer()),e.viewport(0,0,r[0],r[1]),!this.renderTargetTextureSize_||this.renderTargetTextureSize_[0]!==r[0]||this.renderTargetTextureSize_[1]!==r[1]){this.renderTargetTextureSize_=r;var n=e.RGBA,i=e.RGBA,o=e.UNSIGNED_BYTE;e.bindTexture(e.TEXTURE_2D,this.renderTargetTexture_),e.texImage2D(e.TEXTURE_2D,0,n,r[0],r[1],0,i,o,null),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,this.renderTargetTexture_,0)}},t.prototype.apply=function(t,e,r,i){var o=this.getGL(),a=t.size;if(o.bindFramebuffer(o.FRAMEBUFFER,e?e.getFrameBuffer():null),o.activeTexture(o.TEXTURE0),o.bindTexture(o.TEXTURE_2D,this.renderTargetTexture_),!e){var s=n(o.canvas);if(!t.renderTargets[s]){var l=o.getContextAttributes();l&&l.preserveDrawingBuffer&&(o.clearColor(0,0,0,0),o.clear(o.COLOR_BUFFER_BIT)),t.renderTargets[s]=!0}}o.enable(o.BLEND),o.blendFunc(o.ONE,o.ONE_MINUS_SRC_ALPHA),o.viewport(0,0,o.drawingBufferWidth,o.drawingBufferHeight),o.bindBuffer(o.ARRAY_BUFFER,this.renderTargetVerticesBuffer_),o.useProgram(this.renderTargetProgram_),o.enableVertexAttribArray(this.renderTargetAttribLocation_),o.vertexAttribPointer(this.renderTargetAttribLocation_,2,o.FLOAT,!1,0,0),o.uniform2f(this.renderTargetUniformLocation_,a[0],a[1]),o.uniform1i(this.renderTargetTextureLocation_,0);var u=t.layerStatesArray[t.layerIndex].opacity;o.uniform1f(this.renderTargetOpacityLocation_,u),this.applyUniforms(t),r&&r(o,t),o.drawArrays(o.TRIANGLES,0,6),i&&i(o,t)},t.prototype.getFrameBuffer=function(){return this.frameBuffer_},t.prototype.applyUniforms=function(t){var e,r=this.getGL(),n=1;this.uniforms_.forEach((function(i){if((e="function"==typeof i.value?i.value(t):i.value)instanceof HTMLCanvasElement||e instanceof ImageData)i.texture||(i.texture=r.createTexture()),r.activeTexture(r["TEXTURE"+n]),r.bindTexture(r.TEXTURE_2D,i.texture),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_MIN_FILTER,r.LINEAR),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE),e instanceof ImageData?r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,e.width,e.height,0,r.UNSIGNED_BYTE,new Uint8Array(e.data)):r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,e),r.uniform1i(i.location,n++);else if(Array.isArray(e))switch(e.length){case 2:return void r.uniform2f(i.location,e[0],e[1]);case 3:return void r.uniform3f(i.location,e[0],e[1],e[2]);case 4:return void r.uniform4f(i.location,e[0],e[1],e[2],e[3]);default:return}else"number"==typeof e&&r.uniform1f(i.location,e)}))},t}(),f_=p_;function d_(t,e){return t[0]=e[0],t[1]=e[1],t[4]=e[2],t[5]=e[3],t[12]=e[4],t[13]=e[5],t}var g_=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),__="u_projectionMatrix",y_="u_offsetScaleMatrix",v_="u_offsetRotateMatrix",m_="u_time",x_="u_zoom",w_="u_resolution",S_={UNSIGNED_BYTE:5121,UNSIGNED_SHORT:5123,UNSIGNED_INT:5125,FLOAT:5126},C_={};function E_(t){return"shared/"+t}var T_=0;var b_=function(t){function e(e){var r,n=t.call(this)||this,i=e||{};n.boundHandleWebGLContextLost_=n.handleWebGLContextLost.bind(n),n.boundHandleWebGLContextRestored_=n.handleWebGLContextRestored.bind(n),n.canvasCacheKey_=i.canvasCacheKey?E_(i.canvasCacheKey):(r="unique/"+T_,T_+=1,r),n.canvas_=function(t){var e=C_[t];if(!e){var r=document.createElement("canvas");r.style.position="absolute",r.style.left="0",e={users:0,canvas:r},C_[t]=e}return e.users+=1,e.canvas}(n.canvasCacheKey_),n.gl_=o_(n.canvas_),n.bufferCache_={},n.extensionCache_={},n.currentProgram_=null,n.canvas_.addEventListener(h_,n.boundHandleWebGLContextLost_),n.canvas_.addEventListener(c_,n.boundHandleWebGLContextRestored_),n.offsetRotateMatrix_=[1,0,0,1,0,0],n.offsetScaleMatrix_=[1,0,0,1,0,0],n.tmpMat4_=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],n.uniformLocations_={},n.attribLocations_={},n.uniforms_=[],i.uniforms&&n.setUniforms(i.uniforms);var o=n.getGL();return n.postProcessPasses_=i.postProcesses?i.postProcesses.map((function(t){return new f_({webGlContext:o,scaleRatio:t.scaleRatio,vertexShader:t.vertexShader,fragmentShader:t.fragmentShader,uniforms:t.uniforms})})):[new f_({webGlContext:o})],n.shaderCompileErrors_=null,n.startTime_=Date.now(),n}return g_(e,t),e.prototype.setUniforms=function(t){for(var e in this.uniforms_=[],t)this.uniforms_.push({name:e,value:t[e]});this.uniformLocations_={}},e.prototype.canvasCacheKeyMatches=function(t){return this.canvasCacheKey_===E_(t)},e.prototype.getExtension=function(t){if(t in this.extensionCache_)return this.extensionCache_[t];var e=this.gl_.getExtension(t);return this.extensionCache_[t]=e,e},e.prototype.bindBuffer=function(t){var e=this.getGL(),r=n(t),i=this.bufferCache_[r];i||(i={buffer:t,webGlBuffer:e.createBuffer()},this.bufferCache_[r]=i);e.bindBuffer(t.getType(),i.webGlBuffer)},e.prototype.flushBufferData=function(t){var e=this.getGL();this.bindBuffer(t),e.bufferData(t.getType(),t.getArray(),t.getUsage())},e.prototype.deleteBuffer=function(t){var e=this.getGL(),r=n(t),i=this.bufferCache_[r];i&&!e.isContextLost()&&e.deleteBuffer(i.webGlBuffer),delete this.bufferCache_[r]},e.prototype.disposeInternal=function(){this.canvas_.removeEventListener(h_,this.boundHandleWebGLContextLost_),this.canvas_.removeEventListener(c_,this.boundHandleWebGLContextRestored_),function(t){var e=C_[t];if(e&&(e.users-=1,!(e.users>0))){var r=o_(e.canvas).getExtension("WEBGL_lose_context");r&&r.loseContext(),delete C_[t]}}(this.canvasCacheKey_),delete this.gl_,delete this.canvas_},e.prototype.prepareDraw=function(t,e){var r=this.getGL(),n=this.getCanvas(),i=t.size,o=t.pixelRatio;n.width=i[0]*o,n.height=i[1]*o,n.style.width=i[0]+"px",n.style.height=i[1]+"px",r.useProgram(this.currentProgram_);for(var a=this.postProcessPasses_.length-1;a>=0;a--)this.postProcessPasses_[a].init(t);r.bindTexture(r.TEXTURE_2D,null),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),r.enable(r.BLEND),r.blendFunc(r.ONE,e?r.ZERO:r.ONE_MINUS_SRC_ALPHA),r.useProgram(this.currentProgram_),this.applyFrameState(t),this.applyUniforms(t)},e.prototype.prepareDrawToRenderTarget=function(t,e,r){var n=this.getGL(),i=e.getSize();n.bindFramebuffer(n.FRAMEBUFFER,e.getFramebuffer()),n.viewport(0,0,i[0],i[1]),n.bindTexture(n.TEXTURE_2D,e.getTexture()),n.clearColor(0,0,0,0),n.clear(n.COLOR_BUFFER_BIT),n.enable(n.BLEND),n.blendFunc(n.ONE,r?n.ZERO:n.ONE_MINUS_SRC_ALPHA),n.useProgram(this.currentProgram_),this.applyFrameState(t),this.applyUniforms(t)},e.prototype.drawElements=function(t,e){var r=this.getGL();this.getExtension("OES_element_index_uint");var n=r.UNSIGNED_INT,i=e-t,o=4*t;r.drawElements(r.TRIANGLES,i,n,o)},e.prototype.finalizeDraw=function(t,e,r){for(var n=0,i=this.postProcessPasses_.length;n<i;n++)n===i-1?this.postProcessPasses_[n].apply(t,null,e,r):this.postProcessPasses_[n].apply(t,this.postProcessPasses_[n+1])},e.prototype.getCanvas=function(){return this.canvas_},e.prototype.getGL=function(){return this.gl_},e.prototype.applyFrameState=function(t){var e=t.size,r=t.viewState.rotation,n=Mt(this.offsetScaleMatrix_);jt(n,2/e[0],2/e[1]);var i=Mt(this.offsetRotateMatrix_);0!==r&&function(t,e){var r=Math.cos(e),n=Math.sin(e);At(t,Dt(Lt,r,n,-n,r,0,0))}(i,-r),this.setUniformMatrixValue(y_,d_(this.tmpMat4_,n)),this.setUniformMatrixValue(v_,d_(this.tmpMat4_,i)),this.setUniformFloatValue(m_,.001*(Date.now()-this.startTime_)),this.setUniformFloatValue(x_,t.viewState.zoom),this.setUniformFloatValue(w_,t.viewState.resolution)},e.prototype.applyUniforms=function(t){var e,r=this.getGL(),n=0;this.uniforms_.forEach(function(i){if((e="function"==typeof i.value?i.value(t):i.value)instanceof HTMLCanvasElement||e instanceof HTMLImageElement||e instanceof ImageData)i.texture||(i.prevValue=void 0,i.texture=r.createTexture()),r.activeTexture(r["TEXTURE"+n]),r.bindTexture(r.TEXTURE_2D,i.texture),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_MIN_FILTER,r.LINEAR),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE),(!(e instanceof HTMLImageElement)||e.complete)&&i.prevValue!==e&&(i.prevValue=e,r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,e)),r.uniform1i(this.getUniformLocation(i.name),n++);else if(Array.isArray(e)&&6===e.length)this.setUniformMatrixValue(i.name,d_(this.tmpMat4_,e));else if(Array.isArray(e)&&e.length<=4)switch(e.length){case 2:return void r.uniform2f(this.getUniformLocation(i.name),e[0],e[1]);case 3:return void r.uniform3f(this.getUniformLocation(i.name),e[0],e[1],e[2]);case 4:return void r.uniform4f(this.getUniformLocation(i.name),e[0],e[1],e[2],e[3]);default:return}else"number"==typeof e&&r.uniform1f(this.getUniformLocation(i.name),e)}.bind(this))},e.prototype.useProgram=function(t){return t!=this.currentProgram_&&(this.getGL().useProgram(t),this.currentProgram_=t,this.uniformLocations_={},this.attribLocations_={},!0)},e.prototype.compileShader=function(t,e){var r=this.getGL(),n=r.createShader(e);return r.shaderSource(n,t),r.compileShader(n),n},e.prototype.getProgram=function(t,e){var r=this.getGL(),n=this.compileShader(t,r.FRAGMENT_SHADER),i=this.compileShader(e,r.VERTEX_SHADER),o=r.createProgram();if(r.attachShader(o,n),r.attachShader(o,i),r.linkProgram(o),!r.getShaderParameter(n,r.COMPILE_STATUS)){var a="Fragment shader compliation failed: "+r.getShaderInfoLog(n);throw new Error(a)}if(r.deleteShader(n),!r.getShaderParameter(i,r.COMPILE_STATUS)){a="Vertex shader compilation failed: "+r.getShaderInfoLog(i);throw new Error(a)}if(r.deleteShader(i),!r.getProgramParameter(o,r.LINK_STATUS)){a="GL program linking failed: "+r.getShaderInfoLog(i);throw new Error(a)}return o},e.prototype.getUniformLocation=function(t){return void 0===this.uniformLocations_[t]&&(this.uniformLocations_[t]=this.getGL().getUniformLocation(this.currentProgram_,t)),this.uniformLocations_[t]},e.prototype.getAttributeLocation=function(t){return void 0===this.attribLocations_[t]&&(this.attribLocations_[t]=this.getGL().getAttribLocation(this.currentProgram_,t)),this.attribLocations_[t]},e.prototype.makeProjectionTransform=function(t,e){var r=t.size,n=t.viewState.rotation,i=t.viewState.resolution,o=t.viewState.center;return Mt(e),Gt(e,0,0,2/(i*r[0]),2/(i*r[1]),-n,-o[0],-o[1]),e},e.prototype.setUniformFloatValue=function(t,e){this.getGL().uniform1f(this.getUniformLocation(t),e)},e.prototype.setUniformMatrixValue=function(t,e){this.getGL().uniformMatrix4fv(this.getUniformLocation(t),!1,e)},e.prototype.enableAttributeArray_=function(t,e,r,n,i){var o=this.getAttributeLocation(t);o<0||(this.getGL().enableVertexAttribArray(o),this.getGL().vertexAttribPointer(o,e,r,!1,n,i))},e.prototype.enableAttributes=function(t){for(var e=function(t){for(var e=0,r=0;r<t.length;r++){var n=t[r];e+=n.size*R_(n.type)}return e}(t),r=0,n=0;n<t.length;n++){var i=t[n];this.enableAttributeArray_(i.name,i.size,i.type||5126,e,r),r+=i.size*R_(i.type)}},e.prototype.handleWebGLContextLost=function(){x(this.bufferCache_),this.currentProgram_=null},e.prototype.handleWebGLContextRestored=function(){},e.prototype.createTexture=function(t,e,r){var n=this.getGL(),i=r||n.createTexture(),o=n.RGBA,a=n.RGBA,s=n.UNSIGNED_BYTE;return n.bindTexture(n.TEXTURE_2D,i),e?n.texImage2D(n.TEXTURE_2D,0,o,a,s,e):n.texImage2D(n.TEXTURE_2D,0,o,t[0],t[1],0,a,s,null),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),i},e}(u);function R_(t){switch(t){case S_.UNSIGNED_BYTE:return Uint8Array.BYTES_PER_ELEMENT;case S_.UNSIGNED_SHORT:return Uint16Array.BYTES_PER_ELEMENT;case S_.UNSIGNED_INT:return Uint32Array.BYTES_PER_ELEMENT;case S_.FLOAT:default:return Float32Array.BYTES_PER_ELEMENT}}var P_=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),O_="GENERATE_BUFFERS",F_=function(t){function e(e,r){var n=t.call(this,e)||this,i=r||{};return n.inversePixelTransform_=[1,0,0,1,0,0],n.postProcesses_=i.postProcesses,n.uniforms_=i.uniforms,n.helper,e.addChangeListener(mo,n.removeHelper_.bind(n)),n.dispatchPreComposeEvent=n.dispatchPreComposeEvent.bind(n),n.dispatchPostComposeEvent=n.dispatchPostComposeEvent.bind(n),n}return P_(e,t),e.prototype.dispatchPreComposeEvent=function(t,e){var r=this.getLayer();if(r.hasListener(Nn)){var n=new Ta(Nn,void 0,e,t);r.dispatchEvent(n)}},e.prototype.dispatchPostComposeEvent=function(t,e){var r=this.getLayer();if(r.hasListener(Bn)){var n=new Ta(Bn,void 0,e,t);r.dispatchEvent(n)}},e.prototype.reset=function(t){this.uniforms_=t.uniforms,this.helper&&this.helper.setUniforms(this.uniforms_)},e.prototype.removeHelper_=function(){this.helper&&(this.helper.dispose(),delete this.helper)},e.prototype.prepareFrame=function(t){if(this.getLayer().getSource()){for(var r=!0,n=-1,i=void 0,o=0,a=t.layerStatesArray.length;o<a;o++){var s=t.layerStatesArray[o].layer,l=s.getRenderer();if(l instanceof e){var u=s.getClassName();if((r||u!==i)&&(n+=1,r=!1),i=u,l===this)break}else r=!0}var h="map/"+t.mapId+"/group/"+n;this.helper&&this.helper.canvasCacheKeyMatches(h)||(this.helper&&this.helper.dispose(),this.helper=new b_({postProcesses:this.postProcesses_,uniforms:this.uniforms_,canvasCacheKey:h}),i&&(this.helper.getCanvas().className=i),this.afterHelperCreated())}return this.prepareFrameInternal(t)},e.prototype.afterHelperCreated=function(){},e.prototype.prepareFrameInternal=function(t){return!0},e.prototype.disposeInternal=function(){this.removeHelper_(),t.prototype.disposeInternal.call(this)},e.prototype.dispatchRenderEvent_=function(t,e,r){var n=this.getLayer();if(n.hasListener(t)){Gt(this.inversePixelTransform_,0,0,r.pixelRatio,-r.pixelRatio,0,0,-r.size[1]);var i=new Ta(t,this.inversePixelTransform_,r,e);n.dispatchEvent(i)}},e.prototype.preRender=function(t,e){this.dispatchRenderEvent_(jn,t,e)},e.prototype.postRender=function(t,e){this.dispatchRenderEvent_(Gn,t,e)},e}(Ca);var I_=F_,L_=new Uint8Array(4),M_=function(){function t(t,e){this.helper_=t;var r=t.getGL();this.texture_=r.createTexture(),this.framebuffer_=r.createFramebuffer(),this.size_=e||[1,1],this.data_=new Uint8Array(0),this.dataCacheDirty_=!0,this.updateSize_()}return t.prototype.setSize=function(t){g(t,this.size_)||(this.size_[0]=t[0],this.size_[1]=t[1],this.updateSize_())},t.prototype.getSize=function(){return this.size_},t.prototype.clearCachedData=function(){this.dataCacheDirty_=!0},t.prototype.readAll=function(){if(this.dataCacheDirty_){var t=this.size_,e=this.helper_.getGL();e.bindFramebuffer(e.FRAMEBUFFER,this.framebuffer_),e.readPixels(0,0,t[0],t[1],e.RGBA,e.UNSIGNED_BYTE,this.data_),this.dataCacheDirty_=!1}return this.data_},t.prototype.readPixel=function(t,e){if(t<0||e<0||t>this.size_[0]||e>=this.size_[1])return L_[0]=0,L_[1]=0,L_[2]=0,L_[3]=0,L_;this.readAll();var r=Math.floor(t)+(this.size_[1]-Math.floor(e)-1)*this.size_[0];return L_[0]=this.data_[4*r],L_[1]=this.data_[4*r+1],L_[2]=this.data_[4*r+2],L_[3]=this.data_[4*r+3],L_},t.prototype.getTexture=function(){return this.texture_},t.prototype.getFramebuffer=function(){return this.framebuffer_},t.prototype.updateSize_=function(){var t=this.size_,e=this.helper_.getGL();this.texture_=this.helper_.createTexture(t,null,this.texture_),e.bindFramebuffer(e.FRAMEBUFFER,this.framebuffer_),e.viewport(0,0,t[0],t[1]),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,this.texture_,0),this.data_=new Uint8Array(t[0]*t[1]*4)},t}();var A_=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),D_=function(t){function e(e,r){var i=this,o=r.uniforms||{},a=[1,0,0,1,0,0];o[__]=a,(i=t.call(this,e,{uniforms:o,postProcesses:r.postProcesses})||this).sourceRevision_=-1,i.verticesBuffer_=new u_(t_,n_),i.hitVerticesBuffer_=new u_(t_,n_),i.indicesBuffer_=new u_(e_,n_),i.vertexShader_=r.vertexShader,i.fragmentShader_=r.fragmentShader,i.program_,i.hitDetectionEnabled_=!(!r.hitFragmentShader||!r.hitVertexShader),i.hitVertexShader_=r.hitVertexShader,i.hitFragmentShader_=r.hitFragmentShader,i.hitProgram_;var s,l,u=r.attributes?r.attributes.map((function(t){return{name:"a_"+t.name,size:1,type:S_.FLOAT}})):[];i.attributes=[{name:"a_position",size:2,type:S_.FLOAT},{name:"a_index",size:1,type:S_.FLOAT}].concat(u),i.hitDetectionAttributes=[{name:"a_position",size:2,type:S_.FLOAT},{name:"a_index",size:1,type:S_.FLOAT},{name:"a_hitColor",size:4,type:S_.FLOAT},{name:"a_featureUid",size:1,type:S_.FLOAT}].concat(u),i.customAttributes=r.attributes?r.attributes:[],i.previousExtent_=[1/0,1/0,-1/0,-1/0],i.currentTransform_=a,i.renderTransform_=[1,0,0,1,0,0],i.invertRenderTransform_=[1,0,0,1,0,0],i.renderInstructions_=new Float32Array(0),i.hitRenderInstructions_=new Float32Array(0),i.hitRenderTarget_,i.worker_=(s=new Blob(['var e="function"==typeof Object.assign?Object.assign:function(e,n){if(null==e)throw new TypeError("Cannot convert undefined or null to object");for(var t=Object(e),r=1,o=arguments.length;r<o;++r){var i=arguments[r];if(null!=i)for(var f in i)i.hasOwnProperty(f)&&(t[f]=i[f])}return 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Worker(l)),i.worker_.addEventListener("message",function(t){var e=t.data;if(e.type===O_){var r=e.projectionTransform;e.hitDetection?(this.hitVerticesBuffer_.fromArrayBuffer(e.vertexBuffer),this.helper.flushBufferData(this.hitVerticesBuffer_)):(this.verticesBuffer_.fromArrayBuffer(e.vertexBuffer),this.helper.flushBufferData(this.verticesBuffer_)),this.indicesBuffer_.fromArrayBuffer(e.indexBuffer),this.helper.flushBufferData(this.indicesBuffer_),this.renderTransform_=r,Nt(this.invertRenderTransform_,this.renderTransform_),e.hitDetection?this.hitRenderInstructions_=new Float32Array(t.data.renderInstructions):this.renderInstructions_=new Float32Array(t.data.renderInstructions),this.getLayer().changed()}}.bind(i)),i.featureCache_={},i.featureCount_=0;var h=i.getLayer().getSource();return i.sourceListenKeys_=[N(h,Gs,i.handleSourceFeatureAdded_,i),N(h,Ns,i.handleSourceFeatureChanged_,i),N(h,zs,i.handleSourceFeatureDelete_,i),N(h,Bs,i.handleSourceFeatureClear_,i)],h.forEachFeature(function(t){this.featureCache_[n(t)]={feature:t,properties:t.getProperties(),geometry:t.getGeometry()},this.featureCount_++}.bind(i)),i}return A_(e,t),e.prototype.afterHelperCreated=function(){this.program_=this.helper.getProgram(this.fragmentShader_,this.vertexShader_),this.hitDetectionEnabled_&&(this.hitProgram_=this.helper.getProgram(this.hitFragmentShader_,this.hitVertexShader_),this.hitRenderTarget_=new M_(this.helper))},e.prototype.handleSourceFeatureAdded_=function(t){var e=t.feature;this.featureCache_[n(e)]={feature:e,properties:e.getProperties(),geometry:e.getGeometry()},this.featureCount_++},e.prototype.handleSourceFeatureChanged_=function(t){var e=t.feature;this.featureCache_[n(e)]={feature:e,properties:e.getProperties(),geometry:e.getGeometry()}},e.prototype.handleSourceFeatureDelete_=function(t){var e=t.feature;delete this.featureCache_[n(e)],this.featureCount_--},e.prototype.handleSourceFeatureClear_=function(){this.featureCache_={},this.featureCount_=0},e.prototype.renderFrame=function(t){var e=this.helper.getGL();this.preRender(e,t);var r=this.indicesBuffer_.getSize();this.helper.drawElements(0,r),this.helper.finalizeDraw(t,this.dispatchPreComposeEvent,this.dispatchPostComposeEvent);var n=this.helper.getCanvas();return this.hitDetectionEnabled_&&(this.renderHitDetection(t),this.hitRenderTarget_.clearCachedData()),this.postRender(e,t),n},e.prototype.prepareFrameInternal=function(t){var e=this.getLayer(),r=e.getSource(),n=t.viewState,i=!t.viewHints[qa]&&!t.viewHints[Ja],o=!he(this.previousExtent_,t.extent),a=this.sourceRevision_<r.getRevision();if(a&&(this.sourceRevision_=r.getRevision()),i&&(o||a)){var s=n.projection,l=n.resolution,u=e instanceof qo?e.getRenderBuffer():0,h=Qt(t.extent,u*l);r.loadFeatures(h,l,s),this.rebuildBuffers_(t),this.previousExtent_=t.extent.slice()}return this.helper.makeProjectionTransform(t,this.currentTransform_),At(this.currentTransform_,this.invertRenderTransform_),this.helper.useProgram(this.program_),this.helper.prepareDraw(t),this.helper.bindBuffer(this.verticesBuffer_),this.helper.bindBuffer(this.indicesBuffer_),this.helper.enableAttributes(this.attributes),!0},e.prototype.rebuildBuffers_=function(t){var e=[1,0,0,1,0,0];this.helper.makeProjectionTransform(t,e);var r,n,i=(2+this.customAttributes.length)*this.featureCount_;if(this.renderInstructions_&&this.renderInstructions_.length===i||(this.renderInstructions_=new Float32Array(i)),this.hitDetectionEnabled_){var o=(7+this.customAttributes.length)*this.featureCount_;this.hitRenderInstructions_&&this.hitRenderInstructions_.length===o||(this.hitRenderInstructions_=new Float32Array(o))}var a,s,l,u,h,c=[],p=[],f=0,d=0;for(var g in this.featureCache_)if((n=(r=this.featureCache_[g]).geometry)&&n.getType()===ct){c[0]=n.getFlatCoordinates()[0],c[1]=n.getFlatCoordinates()[1],kt(e,c),s=d+6,l=void 0,u=void 0,h=void 0,u=256,h=255,(l=p||[])[0]=Math.floor(s/u/u/u)/h,l[1]=Math.floor(s/u/u)%u/h,l[2]=Math.floor(s/u)%u/h,l[3]=s%u/h,a=l,this.renderInstructions_[f++]=c[0],this.renderInstructions_[f++]=c[1],this.hitDetectionEnabled_&&(this.hitRenderInstructions_[d++]=c[0],this.hitRenderInstructions_[d++]=c[1],this.hitRenderInstructions_[d++]=a[0],this.hitRenderInstructions_[d++]=a[1],this.hitRenderInstructions_[d++]=a[2],this.hitRenderInstructions_[d++]=a[3],this.hitRenderInstructions_[d++]=Number(g));for(var _=void 0,y=0;y<this.customAttributes.length;y++)_=this.customAttributes[y].callback(r.feature,r.properties),this.renderInstructions_[f++]=_,this.hitDetectionEnabled_&&(this.hitRenderInstructions_[d++]=_)}var v={type:O_,renderInstructions:this.renderInstructions_.buffer,customAttributesCount:this.customAttributes.length};if(v.projectionTransform=e,this.worker_.postMessage(v,[this.renderInstructions_.buffer]),this.renderInstructions_=null,this.hitDetectionEnabled_){var m={type:O_,renderInstructions:this.hitRenderInstructions_.buffer,customAttributesCount:5+this.customAttributes.length};m.projectionTransform=e,m.hitDetection=!0,this.worker_.postMessage(m,[this.hitRenderInstructions_.buffer]),this.hitRenderInstructions_=null}},e.prototype.forEachFeatureAtCoordinate=function(t,e,r,n,i){if(nt(this.hitDetectionEnabled_,66),this.hitRenderInstructions_){var o=kt(e.coordinateToPixelTransform,t.slice()),a=this.hitRenderTarget_.readPixel(o[0]/2,o[1]/2),s=function(t){var e=0,r=256,n=255;return e+=Math.round(t[0]*r*r*r*n),e+=Math.round(t[1]*r*r*n),e+=Math.round(t[2]*r*n),e+Math.round(t[3]*n)}([a[0]/255,a[1]/255,a[2]/255,a[3]/255]),l=this.hitRenderInstructions_[s],u=Math.floor(l).toString(),h=this.getLayer().getSource().getFeatureByUid(u);return h?n(h,this.getLayer(),null):void 0}},e.prototype.renderHitDetection=function(t){if(this.hitVerticesBuffer_.getSize()){this.hitRenderTarget_.setSize([Math.floor(t.size[0]/2),Math.floor(t.size[1]/2)]),this.helper.useProgram(this.hitProgram_),this.helper.prepareDrawToRenderTarget(t,this.hitRenderTarget_,!0),this.helper.bindBuffer(this.hitVerticesBuffer_),this.helper.bindBuffer(this.indicesBuffer_),this.helper.enableAttributes(this.hitDetectionAttributes);var e=this.indicesBuffer_.getSize();this.helper.drawElements(0,e)}},e.prototype.disposeInternal=function(){this.worker_.terminate(),this.layer_=null,this.sourceListenKeys_.forEach((function(t){z(t)})),this.sourceListenKeys_=null,t.prototype.disposeInternal.call(this)},e}(I_),k_=D_,j_=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),G_="blur",N_="gradient",B_="radius",z_=["#00f","#0ff","#0f0","#ff0","#f00"];var U_=function(t){function e(e){var r=this,n=e||{},i=m({},n);delete i.gradient,delete i.radius,delete i.blur,delete i.weight,(r=t.call(this,i)||this).gradient_=null,r.addChangeListener(N_,r.handleGradientChanged_),r.setGradient(n.gradient?n.gradient:z_),r.setBlur(void 0!==n.blur?n.blur:15),r.setRadius(void 0!==n.radius?n.radius:8);var o=n.weight?n.weight:"weight";return r.weightFunction_="string"==typeof o?function(t){return t.get(o)}:o,r.setRenderOrder(null),r}return j_(e,t),e.prototype.getBlur=function(){return this.get(G_)},e.prototype.getGradient=function(){return this.get(N_)},e.prototype.getRadius=function(){return this.get(B_)},e.prototype.handleGradientChanged_=function(){this.gradient_=function(t){for(var e=1,r=256,n=_i(e,r),i=n.createLinearGradient(0,0,e,r),o=1/(t.length-1),a=0,s=t.length;a<s;++a)i.addColorStop(a*o,t[a]);return n.fillStyle=i,n.fillRect(0,0,e,r),n.canvas}(this.getGradient())},e.prototype.setBlur=function(t){this.set(G_,t)},e.prototype.setGradient=function(t){this.set(N_,t)},e.prototype.setRadius=function(t){this.set(B_,t)},e.prototype.createRenderer=function(){return new k_(this,{className:this.getClassName(),attributes:[{name:"weight",callback:function(t){var e=this.weightFunction_(t);return void 0!==e?Ie(e,0,1):1}.bind(this)}],vertexShader:"\n        precision mediump float;\n        uniform mat4 u_projectionMatrix;\n        uniform mat4 u_offsetScaleMatrix;\n        uniform float u_size;\n        attribute vec2 a_position;\n        attribute float a_index;\n        attribute float a_weight;\n\n        varying vec2 v_texCoord;\n        varying float v_weight;\n\n        void main(void) {\n          mat4 offsetMatrix = u_offsetScaleMatrix;\n          float offsetX = a_index == 0.0 || a_index == 3.0 ? -u_size / 2.0 : u_size / 2.0;\n          float offsetY = a_index == 0.0 || a_index == 1.0 ? -u_size / 2.0 : u_size / 2.0;\n          vec4 offsets = offsetMatrix * vec4(offsetX, offsetY, 0.0, 0.0);\n          gl_Position = u_projectionMatrix * vec4(a_position, 0.0, 1.0) + offsets;\n          float u = a_index == 0.0 || a_index == 3.0 ? 0.0 : 1.0;\n         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v_texCoord;\n        varying float v_weight;\n        varying vec4 v_hitColor;\n\n        void main(void) {\n          mat4 offsetMatrix = u_offsetScaleMatrix;\n          float offsetX = a_index == 0.0 || a_index == 3.0 ? -u_size / 2.0 : u_size / 2.0;\n          float offsetY = a_index == 0.0 || a_index == 1.0 ? -u_size / 2.0 : u_size / 2.0;\n          vec4 offsets = offsetMatrix * vec4(offsetX, offsetY, 0.0, 0.0);\n          gl_Position = u_projectionMatrix * vec4(a_position, 0.0, 1.0) + offsets;\n          float u = a_index == 0.0 || a_index == 3.0 ? 0.0 : 1.0;\n          float v = a_index == 0.0 || a_index == 1.0 ? 0.0 : 1.0;\n          v_texCoord = vec2(u, v);\n          v_hitColor = a_hitColor;\n          v_weight = a_weight;\n        }",hitFragmentShader:"\n        precision mediump float;\n        uniform float u_blurSlope;\n\n        varying vec2 v_texCoord;\n        varying float v_weight;\n        varying vec4 v_hitColor;\n\n        void main(void) {\n          vec2 texCoord = v_texCoord * 2.0 - vec2(1.0, 1.0);\n          float sqRadius = texCoord.x * texCoord.x + texCoord.y * texCoord.y;\n          float value = (1.0 - sqrt(sqRadius)) * u_blurSlope;\n          float alpha = smoothstep(0.0, 1.0, value) * v_weight;\n          if (alpha < 0.05) {\n            discard;\n          }\n\n          gl_FragColor = v_hitColor;\n        }",uniforms:{u_size:function(){return 2*(this.get(B_)+this.get(G_))}.bind(this),u_blurSlope:function(){return this.get(B_)/Math.max(1,this.get(G_))}.bind(this)},postProcesses:[{fragmentShader:"\n            precision mediump float;\n\n            uniform sampler2D u_image;\n            uniform sampler2D u_gradientTexture;\n            uniform float u_opacity;\n\n            varying vec2 v_texCoord;\n\n            void main() {\n              vec4 color = texture2D(u_image, v_texCoord);\n              gl_FragColor.a = color.a * u_opacity;\n              gl_FragColor.rgb = texture2D(u_gradientTexture, vec2(0.5, color.a)).rgb;\n              gl_FragColor.rgb *= gl_FragColor.a;\n            }",uniforms:{u_gradientTexture:function(){return this.gradient_}.bind(this),u_opacity:function(){return this.getOpacity()}.bind(this)}}]})},e.prototype.renderDeclutter=function(){},e}(qo),V_=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),X_=function(t){function e(e){var r=e||{};return t.call(this,r)||this}return V_(e,t),e}(Oo),W_={imageSmoothingEnabled:!1,msImageSmoothingEnabled:!1},Y_=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),K_=function(t){function e(e){var r=t.call(this,e)||this;return r.image_=null,r}return Y_(e,t),e.prototype.getImage=function(){return this.image_?this.image_.getImage():null},e.prototype.prepareFrame=function(t){var e=t.layerStatesArray[t.layerIndex],r=t.pixelRatio,n=t.viewState,i=n.resolution,o=this.getLayer().getSource(),a=t.viewHints,s=t.extent;if(void 0!==e.extent&&(s=Ce(s,Gr(e.extent,n.projection))),!a[qa]&&!a[Ja]&&!Pe(s))if(o){var l=n.projection,u=o.getImage(s,i,r,l);u&&this.loadImage(u)&&(this.image_=u)}else this.image_=null;return!!this.image_},e.prototype.renderFrame=function(t,e){var r=this.image_,n=r.getExtent(),i=r.getResolution(),o=r.getPixelRatio(),a=t.layerStatesArray[t.layerIndex],s=t.pixelRatio,l=t.viewState,u=l.center,h=l.resolution,c=t.size,p=s*i/(h*o),f=Math.round(c[0]*s),d=Math.round(c[1]*s),g=l.rotation;if(g){var _=Math.round(Math.sqrt(f*f+d*d));f=_,d=_}Gt(this.pixelTransform,t.size[0]/2,t.size[1]/2,1/s,1/s,g,-f/2,-d/2),Nt(this.inversePixelTransform,this.pixelTransform);var y=Bt(this.pixelTransform);this.useContainer(e,y,a.opacity);var v=this.context,x=v.canvas;x.width!=f||x.height!=d?(x.width=f,x.height=d):this.containerReused||v.clearRect(0,0,f,d);var w=!1,S=!0;if(a.extent){var C=Gr(a.extent,l.projection);(w=(S=Re(C,t.extent))&&!re(C,t.extent))&&this.clipUnrotated(v,t,C)}var E=r.getImage(),T=Gt(this.tempTransform,f/2,d/2,p,p,0,o*(n[0]-u[0])/i,o*(u[1]-n[3])/i);this.renderedResolution=i*s/o;var b=E.width*T[0],R=E.height*T[3];if(this.getLayer().getSource().getInterpolate()||m(v,W_),this.preRender(v,t),S&&b>=.5&&R>=.5){var P=T[4],O=T[5],F=a.opacity,I=void 0;1!==F&&(I=v.globalAlpha,v.globalAlpha=F),v.drawImage(E,0,0,+E.width,+E.height,Math.round(P),Math.round(O),Math.round(b),Math.round(R)),1!==F&&(v.globalAlpha=I)}return this.postRender(v,t),w&&v.restore(),y!==x.style.transform&&(x.style.transform=y),this.container},e}(Pa),Z_=K_,H_=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),q_=function(t){function e(e){return t.call(this,e)||this}return H_(e,t),e.prototype.createRenderer=function(){return new Z_(this)},e}(X_),J_=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Q_=function(t){function e(e){var r=t.call(this,e)||this;return r.extentChanged=!0,r.renderedExtent_=null,r.renderedPixelRatio,r.renderedProjection=null,r.renderedRevision,r.renderedTiles=[],r.newTiles_=!1,r.tmpExtent=[1/0,1/0,-1/0,-1/0],r.tmpTileRange_=new gp(0,0,0,0),r}return J_(e,t),e.prototype.isDrawableTile=function(t){var e=this.getLayer(),r=t.getState(),n=e.getUseInterimTilesOnError();return r==nl||r==ol||r==il&&!n},e.prototype.getTile=function(t,e,r,n){var i=n.pixelRatio,o=n.viewState.projection,a=this.getLayer(),s=a.getSource().getTile(t,e,r,i,o);return s.getState()==il&&(a.getUseInterimTilesOnError()?a.getPreload()>0&&(this.newTiles_=!0):s.setState(nl)),this.isDrawableTile(s)||(s=s.getInterimTile()),s},e.prototype.loadedTileCallback=function(e,r,n){return!!this.isDrawableTile(n)&&t.prototype.loadedTileCallback.call(this,e,r,n)},e.prototype.prepareFrame=function(t){return!!this.getLayer().getSource()},e.prototype.renderFrame=function(t,e){var r=t.layerStatesArray[t.layerIndex],i=t.viewState,o=i.projection,a=i.resolution,s=i.center,l=i.rotation,u=t.pixelRatio,c=this.getLayer(),p=c.getSource(),f=p.getRevision(),d=p.getTileGridForProjection(o),g=d.getZForResolution(a,p.zDirection),_=d.getResolution(g),y=t.extent,v=r.extent&&Gr(r.extent);v&&(y=Ce(y,Gr(r.extent)));var x=p.getTilePixelRatio(u),w=Math.round(t.size[0]*x),S=Math.round(t.size[1]*x);if(l){var C=Math.round(Math.sqrt(w*w+S*S));w=C,S=C}var E=_*w/2/x,T=_*S/2/x,b=[s[0]-E,s[1]-T,s[0]+E,s[1]+T],R=d.getTileRangeForExtentAndZ(y,g),P={};P[g]={};var O=this.createLoadedTileFinder(p,o,P),F=this.tmpExtent,I=this.tmpTileRange_;this.newTiles_=!1;for(var L=R.minX;L<=R.maxX;++L)for(var M=R.minY;M<=R.maxY;++M){var A=this.getTile(g,L,M,t);if(this.isDrawableTile(A)){var D=n(this);if(A.getState()==nl){P[g][A.tileCoord.toString()]=A;var k=A.inTransition(D);this.newTiles_||!k&&-1!==this.renderedTiles.indexOf(A)||(this.newTiles_=!0)}if(1===A.getAlpha(D,t.time))continue}var j=d.getTileCoordChildTileRange(A.tileCoord,I,F),G=!1;j&&(G=O(g+1,j)),G||d.forEachTileCoordParentTileRange(A.tileCoord,O,I,F)}var N=_/a;Gt(this.pixelTransform,t.size[0]/2,t.size[1]/2,1/x,1/x,l,-w/2,-S/2);var B=Bt(this.pixelTransform);this.useContainer(e,B,r.opacity,this.getBackground(t));var z=this.context,U=z.canvas;Nt(this.inversePixelTransform,this.pixelTransform),Gt(this.tempTransform,w/2,S/2,N,N,0,-w/2,-S/2),U.width!=w||U.height!=S?(U.width=w,U.height=S):this.containerReused||z.clearRect(0,0,w,S),v&&this.clipUnrotated(z,t,v),p.getInterpolate()||m(z,W_),this.preRender(z,t),this.renderedTiles.length=0;var V,X,W,Y=Object.keys(P).map(Number);Y.sort(h),1!==r.opacity||this.containerReused&&!p.getOpaque(t.viewState.projection)?(V=[],X=[]):Y=Y.reverse();for(var K=Y.length-1;K>=0;--K){var Z=Y[K],H=p.getTilePixelSize(Z,u,o),q=d.getResolution(Z)/_,J=H[0]*q*N,Q=H[1]*q*N,$=d.getTileCoordForCoordAndZ(Ee(b),Z),tt=d.getTileCoordExtent($),et=kt(this.tempTransform,[x*(tt[0]-b[0])/_,x*(b[3]-tt[3])/_]),rt=x*p.getGutterForProjection(o),nt=P[Z];for(var it in nt){var ot=(A=nt[it]).tileCoord,at=$[1]-ot[1],st=Math.round(et[0]-(at-1)*J),lt=$[2]-ot[2],ut=Math.round(et[1]-(lt-1)*Q),ht=st-(L=Math.round(et[0]-at*J)),ct=ut-(M=Math.round(et[1]-lt*Q)),pt=g===Z;if(!(k=pt&&1!==A.getAlpha(n(this),t.time)))if(V){z.save(),W=[L,M,L+ht,M,L+ht,M+ct,L,M+ct];for(var ft=0,dt=V.length;ft<dt;++ft)if(g!==Z&&Z<X[ft]){var gt=V[ft];z.beginPath(),z.moveTo(W[0],W[1]),z.lineTo(W[2],W[3]),z.lineTo(W[4],W[5]),z.lineTo(W[6],W[7]),z.moveTo(gt[6],gt[7]),z.lineTo(gt[4],gt[5]),z.lineTo(gt[2],gt[3]),z.lineTo(gt[0],gt[1]),z.clip()}V.push(W),X.push(Z)}else z.clearRect(L,M,ht,ct);this.drawTileImage(A,t,L,M,ht,ct,rt,pt),V&&!k?(z.restore(),this.renderedTiles.unshift(A)):this.renderedTiles.push(A),this.updateUsedTiles(t.usedTiles,p,A)}}this.renderedRevision=f,this.renderedResolution=_,this.extentChanged=!this.renderedExtent_||!he(this.renderedExtent_,b),this.renderedExtent_=b,this.renderedPixelRatio=u,this.renderedProjection=o,this.manageTilePyramid(t,p,d,u,o,y,g,c.getPreload()),this.scheduleExpireCache(t,p),this.postRender(z,t),r.extent&&z.restore(),B!==U.style.transform&&(U.style.transform=B);var _t=bi(r.opacity),yt=this.container;return _t!==yt.style.opacity&&(yt.style.opacity=_t),this.container},e.prototype.drawTileImage=function(t,e,r,i,o,a,s,l){var u=this.getTileImage(t);if(u){var h=n(this),c=l?t.getAlpha(h,e.time):1,p=c!==this.context.globalAlpha;p&&(this.context.save(),this.context.globalAlpha=c),this.context.drawImage(u,s,s,u.width-2*s,u.height-2*s,r,i,o,a),p&&this.context.restore(),1!==c?e.animate=!0:l&&t.endTransition(h)}},e.prototype.getImage=function(){var t=this.context;return t?t.canvas:null},e.prototype.getTileImage=function(t){return t.getImage()},e.prototype.scheduleExpireCache=function(t,e){if(e.canExpireCache()){var r=function(t,e,r){var i=n(t);i in r.usedTiles&&t.expireCache(r.viewState.projection,r.usedTiles[i])}.bind(null,e);t.postRenderFunctions.push(r)}},e.prototype.updateUsedTiles=function(t,e,r){var i=n(e);i in t||(t[i]={}),t[i][r.getKey()]=!0},e.prototype.manageTilePyramid=function(t,e,r,i,o,a,s,l,u){var h=n(e);h in t.wantedTiles||(t.wantedTiles[h]={});var c,p,f,d,g,_,y=t.wantedTiles[h],v=t.tileQueue,m=0;for(_=r.getMinZoom();_<=s;++_)for(p=r.getTileRangeForExtentAndZ(a,_,p),f=r.getResolution(_),d=p.minX;d<=p.maxX;++d)for(g=p.minY;g<=p.maxY;++g)s-_<=l?(++m,(c=e.getTile(_,d,g,i,o)).getState()==el&&(y[c.getKey()]=!0,v.isKeyQueued(c.getKey())||v.enqueue([c,h,r.getTileCoordCenter(c.tileCoord),f])),void 0!==u&&u(c)):e.useTile(_,d,g,o);e.updateCacheSize(m,o)},e}(Pa);Q_.prototype.getLayer;var $_=Q_,ty="image",ey="hybrid",ry="vector",ny=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),iy={image:[Ma,Oa,La,Ia,Aa],hybrid:[Ma,La],vector:[]},oy={hybrid:[Ia,Aa,Fa],vector:[Ma,Oa,La,Ia,Aa,Fa]},ay=function(t){function e(e){var r=t.call(this,e)||this;return r.boundHandleStyleImageChange_=r.handleStyleImageChange_.bind(r),r.dirty_=!1,r.renderedLayerRevision_,r.renderedPixelToCoordinateTransform_=null,r.renderedRotation_,r.tmpTransform_=[1,0,0,1,0,0],r}return ny(e,t),e.prototype.prepareTile=function(t,e,r){var n,i=t.getState();return i!==nl&&i!==il||(this.updateExecutorGroup_(t,e,r),this.tileImageNeedsRender_(t)&&(n=!0)),n},e.prototype.getTile=function(e,r,n,i){var o=i.pixelRatio,a=i.viewState,s=a.resolution,l=a.projection,u=this.getLayer(),h=u.getSource().getTile(e,r,n,o,l),c=i.viewHints,p=!(c[qa]||c[Ja]);return!p&&h.wantedResolution||(h.wantedResolution=s),this.prepareTile(h,o,l)&&(p||Date.now()-i.time<8)&&u.getRenderMode()!==ry&&this.renderTileImage_(h,i),t.prototype.getTile.call(this,e,r,n,i)},e.prototype.isDrawableTile=function(e){var r=this.getLayer();return t.prototype.isDrawableTile.call(this,e)&&(r.getRenderMode()===ry?n(r)in e.executorGroups:e.hasContext(r))},e.prototype.getTileImage=function(t){return t.getImage(this.getLayer())},e.prototype.prepareFrame=function(e){var r=this.getLayer().getRevision();return this.renderedLayerRevision_!=r&&(this.renderedTiles.length=0),this.renderedLayerRevision_=r,t.prototype.prepareFrame.call(this,e)},e.prototype.updateExecutorGroup_=function(t,e,r){var i=this.getLayer(),o=i.getRevision(),a=i.getRenderOrder()||null,s=t.wantedResolution,l=t.getReplayState(i);if(l.dirty||l.renderedResolution!==s||l.renderedRevision!=o||l.renderedRenderOrder!=a){var u=i.getSource(),h=i.getDeclutter(),c=u.getTileGrid(),p=u.getTileGridForProjection(r).getTileCoordExtent(t.wrappedTileCoord),f=u.getSourceTiles(e,r,t),d=n(i);delete t.hitDetectionImageData[d],t.executorGroups[d]=[],h&&(t.declutterExecutorGroups[d]=[]);for(var g=function(r,n){var o=f[r];if(o.getState()!=nl)return"continue";var g=o.tileCoord,y=c.getTileCoordExtent(g),v=Ce(p,y),m=Qt(v,i.getRenderBuffer()*s,_.tmpExtent),x=he(y,v)?null:m;l.dirty=!1;var w=new xa(0,m,s,e),S=h?new xa(0,v,s,e):void 0,C=Ts(s,e),E=function(t){var e,r=t.getStyleFunction()||i.getStyleFunction();if(r&&(e=r(t,s)),e){var n=this.renderFeature(t,C,e,w,S);this.dirty_=this.dirty_||n,l.dirty=l.dirty||n}},T=o.getFeatures();a&&a!==l.renderedRenderOrder&&T.sort(a);for(var b=0,R=T.length;b<R;++b){var P=T[b];x&&!Re(x,P.getGeometry().getExtent())||E.call(_,P)}var O=w.finish(),F=i.getRenderMode()!==ry&&h&&1===f.length?null:v,I=new Ha(F,s,e,u.getOverlaps(),O,i.getRenderBuffer());if(t.executorGroups[d].push(I),S){var L=new Ha(null,s,e,u.getOverlaps(),S.finish(),i.getRenderBuffer());t.declutterExecutorGroups[d].push(L)}},_=this,y=0,v=f.length;y<v;++y)g(y);l.renderedRevision=o,l.renderedRenderOrder=a,l.renderedResolution=s}},e.prototype.forEachFeatureAtCoordinate=function(t,e,r,i,o){var a=e.viewState.resolution,s=e.viewState.rotation;r=null==r?0:r;var l=this.getLayer(),u=l.getSource().getTileGridForProjection(e.viewState.projection),h=Jt([t]);Qt(h,a*r,h);for(var c,p={},f=function(t,e,r){var a=t.getId();void 0===a&&(a=n(t));var s=p[a];if(s){if(!0!==s&&r<s.distanceSq){if(0===r)return p[a]=!0,o.splice(o.lastIndexOf(s),1),i(t,l,e);s.geometry=e,s.distanceSq=r}}else{if(0===r)return p[a]=!0,i(t,l,e);o.push(p[a]={feature:t,layer:l,geometry:e,distanceSq:r,callback:i})}},d=this.renderedTiles,g=function(i,o){var p=d[i];if(!Re(u.getTileCoordExtent(p.wrappedTileCoord),h))return"continue";var g=n(l),_=[p.executorGroups[g]],y=p.declutterExecutorGroups[g];y&&_.push(y),_.some((function(n){for(var i=n===y?e.declutterTree.all().map((function(t){return t.value})):null,o=0,l=n.length;o<l;++o){var u=n[o];if(c=u.forEachFeatureAtCoordinate(t,a,s,r,f,i))return!0}}))},_=0,y=d.length;!c&&_<y;++_)g(_);return c},e.prototype.getFeatures=function(t){return new Promise(function(e,r){for(var i,o=this.getLayer(),a=n(o),s=o.getSource(),l=this.renderedProjection,u=l.getExtent(),h=this.renderedResolution,c=s.getTileGridForProjection(l),p=kt(this.renderedPixelToCoordinateTransform_,t.slice()),f=c.getTileCoordForCoordAndResolution(p,h),d=0,g=this.renderedTiles.length;d<g;++d)if(f.toString()===this.renderedTiles[d].tileCoord.toString()){if((i=this.renderedTiles[d]).getState()===nl){var _=c.getTileCoordExtent(i.tileCoord);s.getWrapX()&&l.canWrapX()&&!re(u,_)&&xr(p,l);break}i=void 0}if(!i||i.loadingSourceTiles>0)e([]);else{var y=Ee(c.getTileCoordExtent(i.wrappedTileCoord)),v=[(p[0]-y[0])/h,(y[1]-p[1])/h],m=i.getSourceTiles().reduce((function(t,e){return t.concat(e.getFeatures())}),[]),x=i.hitDetectionImageData[a];if(!x&&!this.animatingOrInteracting_){var w=ii(c.getTileSize(c.getZForResolution(h))),S=this.renderedRotation_;x=ws(w,[this.getRenderTransform(c.getTileCoordCenter(i.wrappedTileCoord),h,0,xs,w[0]*xs,w[1]*xs,0)],m,o.getStyleFunction(),c.getTileCoordExtent(i.wrappedTileCoord),i.getReplayState(o).renderedResolution,S),i.hitDetectionImageData[a]=x}e(Ss(v,m,x))}}.bind(this))},e.prototype.handleFontsChanged=function(){var t=this.getLayer();t.getVisible()&&void 0!==this.renderedLayerRevision_&&t.changed()},e.prototype.handleStyleImageChange_=function(t){this.renderIfReadyAndVisible()},e.prototype.renderDeclutter=function(t){var e=this.context,r=e.globalAlpha;e.globalAlpha=this.getLayer().getOpacity();for(var i=t.viewHints,o=!(i[qa]||i[Ja]),a=this.renderedTiles,s=0,l=a.length;s<l;++s){var u=a[s],h=u.declutterExecutorGroups[n(this.getLayer())];if(h)for(var c=h.length-1;c>=0;--c)h[c].execute(this.context,1,this.getTileRenderTransform(u,t),t.viewState.rotation,o,void 0,t.declutterTree)}e.globalAlpha=r},e.prototype.getTileRenderTransform=function(t,e){var r=e.pixelRatio,n=e.viewState,i=n.center,o=n.resolution,a=n.rotation,s=e.size,l=Math.round(s[0]*r),u=Math.round(s[1]*r),h=this.getLayer().getSource().getTileGridForProjection(e.viewState.projection),c=t.tileCoord,p=h.getTileCoordExtent(t.wrappedTileCoord),f=h.getTileCoordExtent(c,this.tmpExtent)[0]-p[0];return At(jt(this.inversePixelTransform.slice(),1/r,1/r),this.getRenderTransform(i,o,a,r,l,u,f))},e.prototype.renderFrame=function(e,r){var i=e.viewHints,o=!(i[qa]||i[Ja]);t.prototype.renderFrame.call(this,e,r),this.renderedPixelToCoordinateTransform_=e.pixelToCoordinateTransform.slice(),this.renderedRotation_=e.viewState.rotation;var a=this.getLayer(),s=a.getRenderMode(),l=this.context,u=l.globalAlpha;l.globalAlpha=a.getOpacity();for(var h=oy[s],c=e.viewState.rotation,p=this.renderedTiles,f=[],d=[],g=p.length-1;g>=0;--g)for(var _=p[g],y=this.getTileRenderTransform(_,e),v=_.executorGroups[n(a)],m=!1,x=0,w=v.length;x<w;++x){var S=v[x];if(S.hasExecutors(h)){var C=_.tileCoord[0],E=void 0;if(!m&&(E=S.getClipCoords(y))){l.save();for(var T=0,b=f.length;T<b;++T){var R=f[T];C<d[T]&&(l.beginPath(),l.moveTo(E[0],E[1]),l.lineTo(E[2],E[3]),l.lineTo(E[4],E[5]),l.lineTo(E[6],E[7]),l.moveTo(R[6],R[7]),l.lineTo(R[4],R[5]),l.lineTo(R[2],R[3]),l.lineTo(R[0],R[1]),l.clip())}}S.execute(l,1,y,c,o,h),!m&&E&&(l.restore(),f.push(E),d.push(C),m=!0)}}return l.globalAlpha=u,this.container},e.prototype.renderFeature=function(t,e,r,n,i){if(!r)return!1;var o=!1;if(Array.isArray(r))for(var a=0,s=r.length;a<s;++a)o=Rs(n,t,r[a],e,this.boundHandleStyleImageChange_,void 0,i)||o;else o=Rs(n,t,r,e,this.boundHandleStyleImageChange_,void 0,i);return o},e.prototype.tileImageNeedsRender_=function(t){var e=this.getLayer();if(e.getRenderMode()===ry)return!1;var r=t.getReplayState(e),n=e.getRevision(),i=t.wantedResolution;return r.renderedTileResolution!==i||r.renderedTileRevision!==n},e.prototype.renderTileImage_=function(t,e){var r=this.getLayer(),i=t.getReplayState(r),o=r.getRevision(),a=t.executorGroups[n(r)];i.renderedTileRevision=o;var s=t.wrappedTileCoord,l=s[0],u=r.getSource(),h=e.pixelRatio,c=e.viewState.projection,p=u.getTileGridForProjection(c),f=p.getResolution(t.tileCoord[0]),d=e.pixelRatio/t.wantedResolution*f,g=p.getResolution(l),_=t.getContext(r);h=Math.round(Math.max(h,d/h));var y=u.getTilePixelSize(l,h,c);_.canvas.width=y[0],_.canvas.height=y[1];var v=h/d;if(1!==v){var m=Mt(this.tmpTransform_);jt(m,v,v),_.setTransform.apply(_,m)}var x=p.getTileCoordExtent(s,this.tmpExtent),w=d/g,S=Mt(this.tmpTransform_);jt(S,w,-w),function(t,e,r){At(t,Dt(Lt,1,0,0,1,e,r))}(S,-x[0],-x[3]);for(var C=0,E=a.length;C<E;++C){a[C].execute(_,v,S,0,!0,iy[r.getRenderMode()])}i.renderedTileResolution=t.wantedResolution},e}($_),sy=ay,ly="preload",uy="useInterimTilesOnError",hy=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),cy=function(t){function e(e){var r=this,n=e||{},i=m({},n);delete i.preload,delete i.useInterimTilesOnError,(r=t.call(this,i)||this).on,r.once,r.un,n.renderMode===ty&&(console.warn('renderMode: "image" is deprecated. Option ignored.'),n.renderMode=void 0);var o=n.renderMode||ey;return nt(o==ey||o==ry,28),r.renderMode_=o,r.setPreload(n.preload?n.preload:0),r.setUseInterimTilesOnError(void 0===n.useInterimTilesOnError||n.useInterimTilesOnError),r.getBackground,r.setBackground,r}return hy(e,t),e.prototype.createRenderer=function(){return new sy(this)},e.prototype.getFeatures=function(e){return t.prototype.getFeatures.call(this,e)},e.prototype.getRenderMode=function(){return this.renderMode_},e.prototype.getPreload=function(){return this.get(ly)},e.prototype.getUseInterimTilesOnError=function(){return this.get(uy)},e.prototype.setPreload=function(t){this.set(ly,t)},e.prototype.setUseInterimTilesOnError=function(t){this.set(uy,t)},e}(qo),py="tileloadstart",fy="tileloadend",dy="tileloaderror",gy=[0,0,0],_y=function(){function t(t){var e,r,n,i;if(this.minZoom=void 0!==t.minZoom?t.minZoom:0,this.resolutions_=t.resolutions,nt((e=this.resolutions_,r=!0,n=function(t,e){return e-t}||h,e.every((function(t,i){if(0===i)return!0;var o=n(e[i-1],t);return!(o>0||r&&0===o)}))),17),!t.origins)for(var o=0,a=this.resolutions_.length-1;o<a;++o)if(i){if(this.resolutions_[o]/this.resolutions_[o+1]!==i){i=void 0;break}}else i=this.resolutions_[o]/this.resolutions_[o+1];this.zoomFactor_=i,this.maxZoom=this.resolutions_.length-1,this.origin_=void 0!==t.origin?t.origin:null,this.origins_=null,void 0!==t.origins&&(this.origins_=t.origins,nt(this.origins_.length==this.resolutions_.length,20));var s=t.extent;void 0===s||this.origin_||this.origins_||(this.origin_=Ee(s)),nt(!this.origin_&&this.origins_||this.origin_&&!this.origins_,18),this.tileSizes_=null,void 0!==t.tileSizes&&(this.tileSizes_=t.tileSizes,nt(this.tileSizes_.length==this.resolutions_.length,19)),this.tileSize_=void 0!==t.tileSize?t.tileSize:this.tileSizes_?null:Hl,nt(!this.tileSize_&&this.tileSizes_||this.tileSize_&&!this.tileSizes_,22),this.extent_=void 0!==s?s:null,this.fullTileRanges_=null,this.tmpSize_=[0,0],this.tmpExtent_=[0,0,0,0],void 0!==t.sizes?this.fullTileRanges_=t.sizes.map((function(t,e){var r=new gp(Math.min(0,t[0]),Math.max(t[0]-1,-1),Math.min(0,t[1]),Math.max(t[1]-1,-1));if(s){var n=this.getTileRangeForExtentAndZ(s,e);r.minX=Math.max(n.minX,r.minX),r.maxX=Math.min(n.maxX,r.maxX),r.minY=Math.max(n.minY,r.minY),r.maxY=Math.min(n.maxY,r.maxY)}return r}),this):s&&this.calculateTileRanges_(s)}return t.prototype.forEachTileCoord=function(t,e,r){for(var n=this.getTileRangeForExtentAndZ(t,e),i=n.minX,o=n.maxX;i<=o;++i)for(var a=n.minY,s=n.maxY;a<=s;++a)r([e,i,a])},t.prototype.forEachTileCoordParentTileRange=function(t,e,r,n){var i,o,a=null,s=t[0]-1;for(2===this.zoomFactor_?(i=t[1],o=t[2]):a=this.getTileCoordExtent(t,n);s>=this.minZoom;){if(e(s,2===this.zoomFactor_?dp(i=Math.floor(i/2),i,o=Math.floor(o/2),o,r):this.getTileRangeForExtentAndZ(a,s,r)))return!0;--s}return!1},t.prototype.getExtent=function(){return this.extent_},t.prototype.getMaxZoom=function(){return this.maxZoom},t.prototype.getMinZoom=function(){return this.minZoom},t.prototype.getOrigin=function(t){return this.origin_?this.origin_:this.origins_[t]},t.prototype.getResolution=function(t){return this.resolutions_[t]},t.prototype.getResolutions=function(){return this.resolutions_},t.prototype.getTileCoordChildTileRange=function(t,e,r){if(t[0]<this.maxZoom){if(2===this.zoomFactor_){var n=2*t[1],i=2*t[2];return dp(n,n+1,i,i+1,e)}var o=this.getTileCoordExtent(t,r||this.tmpExtent_);return this.getTileRangeForExtentAndZ(o,t[0]+1,e)}return null},t.prototype.getTileRangeForTileCoordAndZ=function(t,e,r){if(e>this.maxZoom||e<this.minZoom)return null;var n=t[0],i=t[1],o=t[2];if(e===n)return dp(i,o,i,o,r);if(this.zoomFactor_){var a=Math.pow(this.zoomFactor_,e-n),s=Math.floor(i*a),l=Math.floor(o*a);return e<n?dp(s,s,l,l,r):dp(s,Math.floor(a*(i+1))-1,l,Math.floor(a*(o+1))-1,r)}var u=this.getTileCoordExtent(t,this.tmpExtent_);return this.getTileRangeForExtentAndZ(u,e,r)},t.prototype.getTileRangeExtent=function(t,e,r){var n=this.getOrigin(t),i=this.getResolution(t),o=ii(this.getTileSize(t),this.tmpSize_),a=n[0]+e.minX*o[0]*i,s=n[0]+(e.maxX+1)*o[0]*i;return ae(a,n[1]+e.minY*o[1]*i,s,n[1]+(e.maxY+1)*o[1]*i,r)},t.prototype.getTileRangeForExtentAndZ=function(t,e,r){var n=gy;this.getTileCoordForXYAndZ_(t[0],t[3],e,!1,n);var i=n[1],o=n[2];return this.getTileCoordForXYAndZ_(t[2],t[1],e,!0,n),dp(i,n[1],o,n[2],r)},t.prototype.getTileCoordCenter=function(t){var e=this.getOrigin(t[0]),r=this.getResolution(t[0]),n=ii(this.getTileSize(t[0]),this.tmpSize_);return[e[0]+(t[1]+.5)*n[0]*r,e[1]-(t[2]+.5)*n[1]*r]},t.prototype.getTileCoordExtent=function(t,e){var r=this.getOrigin(t[0]),n=this.getResolution(t[0]),i=ii(this.getTileSize(t[0]),this.tmpSize_),o=r[0]+t[1]*i[0]*n,a=r[1]-(t[2]+1)*i[1]*n;return ae(o,a,o+i[0]*n,a+i[1]*n,e)},t.prototype.getTileCoordForCoordAndResolution=function(t,e,r){return this.getTileCoordForXYAndResolution_(t[0],t[1],e,!1,r)},t.prototype.getTileCoordForXYAndResolution_=function(t,e,r,n,i){var o=this.getZForResolution(r),a=r/this.getResolution(o),s=this.getOrigin(o),l=ii(this.getTileSize(o),this.tmpSize_),u=a*(t-s[0])/r/l[0],h=a*(s[1]-e)/r/l[1];return n?(u=Ve(u,5)-1,h=Ve(h,5)-1):(u=Ue(u,5),h=Ue(h,5)),op(o,u,h,i)},t.prototype.getTileCoordForXYAndZ_=function(t,e,r,n,i){var o=this.getOrigin(r),a=this.getResolution(r),s=ii(this.getTileSize(r),this.tmpSize_),l=(t-o[0])/a/s[0],u=(o[1]-e)/a/s[1];return n?(l=Ve(l,5)-1,u=Ve(u,5)-1):(l=Ue(l,5),u=Ue(u,5)),op(r,l,u,i)},t.prototype.getTileCoordForCoordAndZ=function(t,e,r){return this.getTileCoordForXYAndZ_(t[0],t[1],e,!1,r)},t.prototype.getTileCoordResolution=function(t){return this.resolutions_[t[0]]},t.prototype.getTileSize=function(t){return this.tileSize_?this.tileSize_:this.tileSizes_[t]},t.prototype.getFullTileRange=function(t){return this.fullTileRanges_?this.fullTileRanges_[t]:this.extent_?this.getTileRangeForExtentAndZ(this.extent_,t):null},t.prototype.getZForResolution=function(t,e){return Ie(p(this.resolutions_,t,e||0),this.minZoom,this.maxZoom)},t.prototype.calculateTileRanges_=function(t){for(var e=this.resolutions_.length,r=new Array(e),n=this.minZoom;n<e;++n)r[n]=this.getTileRangeForExtentAndZ(t,n);this.fullTileRanges_=r},t}(),yy=_y;function vy(t){var e=t.getDefaultTileGrid();return e||(e=wy(t),t.setDefaultTileGrid(e)),e}function my(t){var e=t||{},r=e.extent||Er("EPSG:3857").getExtent(),n={extent:r,minZoom:e.minZoom,tileSize:e.tileSize,resolutions:xy(r,e.maxZoom,e.tileSize,e.maxResolution)};return new yy(n)}function xy(t,e,r,n){for(var i=void 0!==e?e:42,o=Se(t),a=be(t),s=ii(void 0!==r?r:Hl),l=n>0?n:Math.max(a/s[0],o/s[1]),u=i+1,h=new Array(u),c=0;c<u;++c)h[c]=l/Math.pow(2,c);return h}function wy(t,e,r,n){return function(t,e,r,n){var i=void 0!==n?n:Vt,o=xy(t,e,r);return new yy({extent:t,origin:xe(t,i),resolutions:o,tileSize:r})}(Sy(t),e,r,n)}function Sy(t){var e=(t=Er(t)).getExtent();if(!e){var r=180*wt[St.DEGREES]/t.getMetersPerUnit();e=ae(-r,-r,r,r)}return e}var Cy=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Ey=function(t){function r(e){var r=t.call(this,{attributions:e.attributions,attributionsCollapsible:e.attributionsCollapsible,projection:e.projection,state:e.state,wrapX:e.wrapX,interpolate:e.interpolate})||this;r.on,r.once,r.un,r.opaque_=void 0!==e.opaque&&e.opaque,r.tilePixelRatio_=void 0!==e.tilePixelRatio?e.tilePixelRatio:1,r.tileGrid=void 0!==e.tileGrid?e.tileGrid:null;var n=e.tileGrid;return n&&ii(n.getTileSize(n.getMinZoom()),[256,256]),r.tileCache=new pp(e.cacheSize||0),r.tmpSize=[0,0],r.key_=e.key||"",r.tileOptions={transition:e.transition,interpolate:e.interpolate},r.zDirection=e.zDirection?e.zDirection:0,r}return Cy(r,t),r.prototype.canExpireCache=function(){return this.tileCache.canExpireCache()},r.prototype.expireCache=function(t,e){var r=this.getTileCacheForProjection(t);r&&r.expireCache(e)},r.prototype.forEachLoadedTile=function(t,e,r,n){var i=this.getTileCacheForProjection(t);if(!i)return!1;for(var o,a,s,l=!0,u=r.minX;u<=r.maxX;++u)for(var h=r.minY;h<=r.maxY;++h)a=ap(e,u,h),s=!1,i.containsKey(a)&&(s=(o=i.get(a)).getState()===nl)&&(s=!1!==n(o)),s||(l=!1);return l},r.prototype.getGutterForProjection=function(t){return 0},r.prototype.getKey=function(){return this.key_},r.prototype.setKey=function(t){this.key_!==t&&(this.key_=t,this.changed())},r.prototype.getOpaque=function(t){return this.opaque_},r.prototype.getResolutions=function(){return this.tileGrid.getResolutions()},r.prototype.getTile=function(t,r,n,i,o){return e()},r.prototype.getTileGrid=function(){return this.tileGrid},r.prototype.getTileGridForProjection=function(t){return this.tileGrid?this.tileGrid:vy(t)},r.prototype.getTileCacheForProjection=function(t){return nt(Pr(this.getProjection(),t),68),this.tileCache},r.prototype.getTilePixelRatio=function(t){return this.tilePixelRatio_},r.prototype.getTilePixelSize=function(t,e,r){var n=this.getTileGridForProjection(r),i=this.getTilePixelRatio(e),o=ii(n.getTileSize(t),this.tmpSize);return 1==i?o:ni(o,i,this.tmpSize)},r.prototype.getTileCoordForTileUrlFunction=function(t,e){var r=void 0!==e?e:this.getProjection(),n=this.getTileGridForProjection(r);return this.getWrapX()&&r.isGlobal()&&(t=function(t,e,r){var n=e[0],i=t.getTileCoordCenter(e),o=Sy(r);if(ee(o,i))return e;var a=be(o),s=Math.ceil((o[0]-i[0])/a);return i[0]+=a*s,t.getTileCoordForCoordAndZ(i,n)}(n,t,r)),function(t,e){var r=t[0],n=t[1],i=t[2];if(e.getMinZoom()>r||r>e.getMaxZoom())return!1;var o=e.getFullTileRange(r);return!o||o.containsXY(n,i)}(t,n)?t:null},r.prototype.clear=function(){this.tileCache.clear()},r.prototype.refresh=function(){this.clear(),t.prototype.refresh.call(this)},r.prototype.updateCacheSize=function(t,e){var r=this.getTileCacheForProjection(e);t>r.highWaterMark&&(r.highWaterMark=t)},r.prototype.useTile=function(t,e,r,n){},r}(js),Ty=function(t){function e(e,r){var n=t.call(this,e)||this;return n.tile=r,n}return Cy(e,t),e}(s),by=Ey;function Ry(t,e){var r=/\{z\}/g,n=/\{x\}/g,i=/\{y\}/g,o=/\{-y\}/g;return function(a,s,l){return a?t.replace(r,a[0].toString()).replace(n,a[1].toString()).replace(i,a[2].toString()).replace(o,(function(){var t=a[0],r=e.getFullTileRange(t);return nt(r,55),(r.getHeight()-a[2]-1).toString()})):void 0}}function Py(t){return 1===t.length?t[0]:function(e,r,n){if(e){var i=Ge(up(e),t.length);return t[i](e,r,n)}}}var Oy=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Fy=function(t){function e(r){var n=t.call(this,{attributions:r.attributions,cacheSize:r.cacheSize,opaque:r.opaque,projection:r.projection,state:r.state,tileGrid:r.tileGrid,tilePixelRatio:r.tilePixelRatio,wrapX:r.wrapX,transition:r.transition,interpolate:r.interpolate,key:r.key,attributionsCollapsible:r.attributionsCollapsible,zDirection:r.zDirection})||this;return n.generateTileUrlFunction_=n.tileUrlFunction===e.prototype.tileUrlFunction,n.tileLoadFunction=r.tileLoadFunction,r.tileUrlFunction&&(n.tileUrlFunction=r.tileUrlFunction),n.urls=null,r.urls?n.setUrls(r.urls):r.url&&n.setUrl(r.url),n.tileLoadingKeys_={},n}return Oy(e,t),e.prototype.getTileLoadFunction=function(){return this.tileLoadFunction},e.prototype.getTileUrlFunction=function(){return Object.getPrototypeOf(this).tileUrlFunction===this.tileUrlFunction?this.tileUrlFunction.bind(this):this.tileUrlFunction},e.prototype.getUrls=function(){return this.urls},e.prototype.handleTileChange=function(t){var e,r=t.target,i=n(r),o=r.getState();o==rl?(this.tileLoadingKeys_[i]=!0,e=py):i in this.tileLoadingKeys_&&(delete this.tileLoadingKeys_[i],e=o==il?dy:o==nl?fy:void 0),null!=e&&this.dispatchEvent(new Ty(e,r))},e.prototype.setTileLoadFunction=function(t){this.tileCache.clear(),this.tileLoadFunction=t,this.changed()},e.prototype.setTileUrlFunction=function(t,e){this.tileUrlFunction=t,this.tileCache.pruneExceptNewestZ(),void 0!==e?this.setKey(e):this.changed()},e.prototype.setUrl=function(t){var e=function(t){var e=[],r=/\{([a-z])-([a-z])\}/.exec(t);if(r){var n=r[1].charCodeAt(0),i=r[2].charCodeAt(0),o=void 0;for(o=n;o<=i;++o)e.push(t.replace(r[0],String.fromCharCode(o)));return e}if(r=/\{(\d+)-(\d+)\}/.exec(t)){for(var a=parseInt(r[2],10),s=parseInt(r[1],10);s<=a;s++)e.push(t.replace(r[0],s.toString()));return e}return e.push(t),e}(t);this.urls=e,this.setUrls(e)},e.prototype.setUrls=function(t){this.urls=t;var e=t.join("\n");this.generateTileUrlFunction_?this.setTileUrlFunction(function(t,e){for(var r=t.length,n=new Array(r),i=0;i<r;++i)n[i]=Ry(t[i],e);return Py(n)}(t,this.tileGrid),e):this.setKey(e)},e.prototype.tileUrlFunction=function(t,e,r){},e.prototype.useTile=function(t,e,r){var n=ap(t,e,r);this.tileCache.containsKey(n)&&this.tileCache.get(n)},e}(by),Iy=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Ly=function(t){function e(e){var r=this,n=e.projection||"EPSG:3857",i=e.extent||Sy(n),o=e.tileGrid||my({extent:i,maxResolution:e.maxResolution,maxZoom:void 0!==e.maxZoom?e.maxZoom:22,minZoom:e.minZoom,tileSize:e.tileSize||512});return(r=t.call(this,{attributions:e.attributions,attributionsCollapsible:e.attributionsCollapsible,cacheSize:e.cacheSize,opaque:!1,projection:n,state:e.state,tileGrid:o,tileLoadFunction:e.tileLoadFunction?e.tileLoadFunction:Ay,tileUrlFunction:e.tileUrlFunction,url:e.url,urls:e.urls,wrapX:void 0===e.wrapX||e.wrapX,transition:e.transition,zDirection:void 0===e.zDirection?1:e.zDirection})||this).format_=e.format?e.format:null,r.sourceTileCache=new pp(r.tileCache.highWaterMark),r.overlaps_=null==e.overlaps||e.overlaps,r.tileClass=e.tileClass?e.tileClass:Sp,r.tileGrids_={},r}return Iy(e,t),e.prototype.getFeaturesInExtent=function(t){var e=[],r=this.tileCache;if(0===r.getCount())return e;var n=lp(r.peekFirstKey())[0],i=this.tileGrid;return r.forEach((function(r){if(r.tileCoord[0]===n&&r.getState()===nl)for(var o=r.getSourceTiles(),a=0,s=o.length;a<s;++a){var l=o[a],u=l.tileCoord;if(Re(t,i.getTileCoordExtent(u))){var h=l.getFeatures();if(h)for(var c=0,p=h.length;c<p;++c){var f=h[c],d=f.getGeometry();Re(t,d.getExtent())&&e.push(f)}}}})),e},e.prototype.getOverlaps=function(){return this.overlaps_},e.prototype.clear=function(){this.tileCache.clear(),this.sourceTileCache.clear()},e.prototype.expireCache=function(e,r){var n=this.getTileCacheForProjection(e),i=Object.keys(r).reduce((function(t,e){var r,i,o=ap((i=(r=e).substring(r.lastIndexOf("/")+1,r.length).split(",").map(Number))[0],i[1],i[2]);if(n.containsKey(o))for(var a=n.get(o).sourceTiles,s=0,l=a.length;s<l;++s)t[a[s].getKey()]=!0;return t}),{});t.prototype.expireCache.call(this,e,r),this.sourceTileCache.expireCache(i)},e.prototype.getSourceTiles=function(t,e,r){var n=this;if(r.getState()===el){r.setState(rl);var i=r.wrappedTileCoord,o=this.getTileGridForProjection(e),a=o.getTileCoordExtent(i),s=i[0],l=o.getResolution(s);Qt(a,-l,a);var u=this.tileGrid,h=u.getExtent();h&&Ce(a,h,a);var c=u.getZForResolution(l,1);u.forEachTileCoord(a,c,(function(i){var o=n.tileUrlFunction(i,t,e),a=n.sourceTileCache.containsKey(o)?n.sourceTileCache.get(o):new n.tileClass(i,o?el:ol,o,n.format_,n.tileLoadFunction);r.sourceTiles.push(a);var s=a.getState();if(s<nl){var l=function(t){n.handleTileChange(t);var e=a.getState();if(e===nl||e===il){var i=a.getKey();i in r.errorTileKeys?a.getState()===nl&&delete r.errorTileKeys[i]:r.loadingSourceTiles--,e===il?r.errorTileKeys[i]=!0:a.removeEventListener(T,l),0===r.loadingSourceTiles&&r.setState(S(r.errorTileKeys)?nl:il)}};a.addEventListener(T,l),r.loadingSourceTiles++}s===el&&(a.extent=u.getTileCoordExtent(i),a.projection=e,a.resolution=u.getResolution(i[0]),n.sourceTileCache.set(o,a),a.load())})),r.loadingSourceTiles||r.setState(r.sourceTiles.some((function(t){return t.getState()===il}))?il:nl)}return r.sourceTiles},e.prototype.getTile=function(t,e,r,n,i){var o,a=ap(t,e,r),s=this.getKey();if(this.tileCache.containsKey(a)&&(o=this.tileCache.get(a)).key===s)return o;var l=[t,e,r],u=this.getTileCoordForTileUrlFunction(l,i),h=this.getTileGrid().getExtent(),c=this.getTileGridForProjection(i);if(u&&h){var p=c.getTileCoordExtent(u);Qt(p,-c.getResolution(t),p),Re(h,p)||(u=null)}var f=!0;if(null!==u){var d=this.tileGrid,g=c.getResolution(t),_=d.getZForResolution(g,1),y=c.getTileCoordExtent(u);Qt(y,-g,y),d.forEachTileCoord(y,_,function(t){f=f&&!this.tileUrlFunction(t,n,i)}.bind(this))}var v=new mp(l,f?ol:el,u,this.getSourceTiles.bind(this,n,i));return v.key=s,o?(v.interimTile=o,v.refreshInterimChain(),this.tileCache.replace(a,v)):this.tileCache.set(a,v),v},e.prototype.getTileGridForProjection=function(t){var e=t.getCode(),r=this.tileGrids_[e];if(!r){var n=this.tileGrid;r=wy(t,void 0,n?n.getTileSize(n.getMinZoom()):void 0),this.tileGrids_[e]=r}return r},e.prototype.getTilePixelRatio=function(t){return t},e.prototype.getTilePixelSize=function(t,e,r){var n=ii(this.getTileGridForProjection(r).getTileSize(t),this.tmpSize);return[Math.round(n[0]*e),Math.round(n[1]*e)]},e.prototype.updateCacheSize=function(e,r){t.prototype.updateCacheSize.call(this,2*e,r),this.sourceTileCache.highWaterMark=this.getTileCacheForProjection(r).highWaterMark},e}(Fy),My=Ly;function Ay(t,e){t.setLoader((function(r,n,i){qs(e,t.getFormat(),r,n,i,t.onLoad.bind(t),t.onError.bind(t))}))}var Dy,ky=function(){function t(t,e,r,n,i,o){this.sourceProj_=t,this.targetProj_=e;var a={},s=Fr(this.targetProj_,this.sourceProj_);this.transformInv_=function(t){var e=t[0]+"/"+t[1];return a[e]||(a[e]=s(t)),a[e]},this.maxSourceExtent_=n,this.errorThresholdSquared_=i*i,this.triangles_=[],this.wrapsXInSource_=!1,this.canWrapXInSource_=this.sourceProj_.canWrapX()&&!!n&&!!this.sourceProj_.getExtent()&&be(n)==be(this.sourceProj_.getExtent()),this.sourceWorldWidth_=this.sourceProj_.getExtent()?be(this.sourceProj_.getExtent()):null,this.targetWorldWidth_=this.targetProj_.getExtent()?be(this.targetProj_.getExtent()):null;var l=Ee(r),u=Te(r),h=ve(r),c=ye(r),p=this.transformInv_(l),f=this.transformInv_(u),d=this.transformInv_(h),g=this.transformInv_(c),_=10+(o?Math.max(0,Math.ceil(Me(_e(r)/(o*o*256*256)))):0);if(this.addQuad_(l,u,h,c,p,f,d,g,_),this.wrapsXInSource_){var y=1/0;this.triangles_.forEach((function(t,e,r){y=Math.min(y,t.source[0][0],t.source[1][0],t.source[2][0])})),this.triangles_.forEach(function(t){if(Math.max(t.source[0][0],t.source[1][0],t.source[2][0])-y>this.sourceWorldWidth_/2){var e=[[t.source[0][0],t.source[0][1]],[t.source[1][0],t.source[1][1]],[t.source[2][0],t.source[2][1]]];e[0][0]-y>this.sourceWorldWidth_/2&&(e[0][0]-=this.sourceWorldWidth_),e[1][0]-y>this.sourceWorldWidth_/2&&(e[1][0]-=this.sourceWorldWidth_),e[2][0]-y>this.sourceWorldWidth_/2&&(e[2][0]-=this.sourceWorldWidth_);var r=Math.min(e[0][0],e[1][0],e[2][0]);Math.max(e[0][0],e[1][0],e[2][0])-r<this.sourceWorldWidth_/2&&(t.source=e)}}.bind(this))}a={}}return t.prototype.addTriangle_=function(t,e,r,n,i,o){this.triangles_.push({source:[n,i,o],target:[t,e,r]})},t.prototype.addQuad_=function(t,e,r,n,i,o,a,s,l){var u=Jt([i,o,a,s]),h=this.sourceWorldWidth_?be(u)/this.sourceWorldWidth_:null,c=this.sourceWorldWidth_,p=this.sourceProj_.canWrapX()&&h>.5&&h<1,f=!1;if(l>0){if(this.targetProj_.isGlobal()&&this.targetWorldWidth_)f=be(Jt([t,e,r,n]))/this.targetWorldWidth_>.25||f;!p&&this.sourceProj_.isGlobal()&&h&&(f=h>.25||f)}if(!(!f&&this.maxSourceExtent_&&isFinite(u[0])&&isFinite(u[1])&&isFinite(u[2])&&isFinite(u[3]))||Re(u,this.maxSourceExtent_)){var d=0;if(!(f||isFinite(i[0])&&isFinite(i[1])&&isFinite(o[0])&&isFinite(o[1])&&isFinite(a[0])&&isFinite(a[1])&&isFinite(s[0])&&isFinite(s[1])))if(l>0)f=!0;else if(1!=(d=(isFinite(i[0])&&isFinite(i[1])?0:8)+(isFinite(o[0])&&isFinite(o[1])?0:4)+(isFinite(a[0])&&isFinite(a[1])?0:2)+(isFinite(s[0])&&isFinite(s[1])?0:1))&&2!=d&&4!=d&&8!=d)return;if(l>0){if(!f){var g=[(t[0]+r[0])/2,(t[1]+r[1])/2],_=this.transformInv_(g),y=void 0;if(p)y=(Ge(i[0],c)+Ge(a[0],c))/2-Ge(_[0],c);else y=(i[0]+a[0])/2-_[0];var v=(i[1]+a[1])/2-_[1];f=y*y+v*v>this.errorThresholdSquared_}if(f){if(Math.abs(t[0]-r[0])<=Math.abs(t[1]-r[1])){var m=[(e[0]+r[0])/2,(e[1]+r[1])/2],x=this.transformInv_(m),w=[(n[0]+t[0])/2,(n[1]+t[1])/2],S=this.transformInv_(w);this.addQuad_(t,e,m,w,i,o,x,S,l-1),this.addQuad_(w,m,r,n,S,x,a,s,l-1)}else{var C=[(t[0]+e[0])/2,(t[1]+e[1])/2],E=this.transformInv_(C),T=[(r[0]+n[0])/2,(r[1]+n[1])/2],b=this.transformInv_(T);this.addQuad_(t,C,T,n,i,E,b,s,l-1),this.addQuad_(C,e,r,T,E,o,a,b,l-1)}return}}if(p){if(!this.canWrapXInSource_)return;this.wrapsXInSource_=!0}0==(11&d)&&this.addTriangle_(t,r,n,i,a,s),0==(14&d)&&this.addTriangle_(t,r,e,i,a,o),d&&(0==(13&d)&&this.addTriangle_(e,n,t,o,s,i),0==(7&d)&&this.addTriangle_(e,n,r,o,s,a))}},t.prototype.calculateSourceExtent=function(){var t=[1/0,1/0,-1/0,-1/0];return this.triangles_.forEach((function(e,r,n){var i=e.source;pe(t,i[0]),pe(t,i[1]),pe(t,i[2])})),t},t.prototype.getTriangles=function(){return this.triangles_},t}();function jy(t,e,r,n,i){t.beginPath(),t.moveTo(0,0),t.lineTo(e,r),t.lineTo(n,i),t.closePath(),t.save(),t.clip(),t.fillRect(0,0,Math.max(e,n)+1,Math.max(r,i)),t.restore()}function Gy(t,e){return Math.abs(t[4*e]-210)>2||Math.abs(t[4*e+3]-191.25)>2}function Ny(t,e,r,n){var i=Ir(r,e,t),o=Tr(e,n,r),a=e.getMetersPerUnit();void 0!==a&&(o*=a);var s=t.getMetersPerUnit();void 0!==s&&(o/=s);var l=t.getExtent();if(!l||ee(l,i)){var u=Tr(t,o,i)/o;isFinite(u)&&u>0&&(o/=u)}return o}function By(t,e,r,n,i,o,a,s,l,u,h,c){var p=_i(Math.round(r*t),Math.round(r*e));if(c||m(p,W_),0===l.length)return p.canvas;function f(t){return Math.round(t*r)/r}p.scale(r,r),p.globalCompositeOperation="lighter";var d=[1/0,1/0,-1/0,-1/0];l.forEach((function(t,e,r){ce(d,t.extent)}));var g=be(d),_=Se(d),y=_i(Math.round(r*g/n),Math.round(r*_/n));c||m(y,W_);var v=r/n;l.forEach((function(t,e,r){var n=t.extent[0]-d[0],i=-(t.extent[3]-d[3]),o=be(t.extent),a=Se(t.extent);t.image.width>0&&t.image.height>0&&y.drawImage(t.image,u,u,t.image.width-2*u,t.image.height-2*u,n*v,i*v,o*v,a*v)}));var x=Ee(a);return s.getTriangles().forEach((function(t,e,i){var a=t.source,s=t.target,l=a[0][0],u=a[0][1],h=a[1][0],g=a[1][1],_=a[2][0],v=a[2][1],m=f((s[0][0]-x[0])/o),w=f(-(s[0][1]-x[1])/o),S=f((s[1][0]-x[0])/o),C=f(-(s[1][1]-x[1])/o),E=f((s[2][0]-x[0])/o),T=f(-(s[2][1]-x[1])/o),b=l,R=u;l=0,u=0;var P=function(t){for(var e=t.length,r=0;r<e;r++){for(var n=r,i=Math.abs(t[r][r]),o=r+1;o<e;o++){var a=Math.abs(t[o][r]);a>i&&(i=a,n=o)}if(0===i)return null;var s=t[n];t[n]=t[r],t[r]=s;for(var l=r+1;l<e;l++)for(var u=-t[l][r]/t[r][r],h=r;h<e+1;h++)r==h?t[l][h]=0:t[l][h]+=u*t[r][h]}for(var c=new Array(e),p=e-1;p>=0;p--){c[p]=t[p][e]/t[p][p];for(var f=p-1;f>=0;f--)t[f][e]-=t[f][p]*c[p]}return c}([[h-=b,g-=R,0,0,S-m],[_-=b,v-=R,0,0,E-m],[0,0,h,g,C-w],[0,0,_,v,T-w]]);if(P){if(p.save(),p.beginPath(),function(){if(void 0===Dy){var t=document.createElement("canvas").getContext("2d");t.globalCompositeOperation="lighter",t.fillStyle="rgba(210, 0, 0, 0.75)",jy(t,4,5,4,0),jy(t,4,5,0,5);var e=t.getImageData(0,0,3,3).data;Dy=Gy(e,0)||Gy(e,4)||Gy(e,8)}return Dy}()||!c){p.moveTo(S,C);for(var O=m-S,F=w-C,I=0;I<4;I++)p.lineTo(S+f((I+1)*O/4),C+f(I*F/3)),3!=I&&p.lineTo(S+f((I+1)*O/4),C+f((I+1)*F/3));p.lineTo(E,T)}else p.moveTo(S,C),p.lineTo(m,w),p.lineTo(E,T);p.clip(),p.transform(P[0],P[2],P[1],P[3],m,w),p.translate(d[0]-b,d[3]-R),p.scale(n/r,-n/r),p.drawImage(y.canvas,0,0),p.restore()}})),h&&(p.save(),p.globalCompositeOperation="source-over",p.strokeStyle="black",p.lineWidth=1,s.getTriangles().forEach((function(t,e,r){var n=t.target,i=(n[0][0]-x[0])/o,a=-(n[0][1]-x[1])/o,s=(n[1][0]-x[0])/o,l=-(n[1][1]-x[1])/o,u=(n[2][0]-x[0])/o,h=-(n[2][1]-x[1])/o;p.beginPath(),p.moveTo(s,l),p.lineTo(i,a),p.lineTo(u,h),p.closePath(),p.stroke()})),p.restore()),p.canvas}var zy=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Uy=function(t){function e(e,r,n,i,o,a,s,l,u,h,c,p){var f=t.call(this,o,el,{interpolate:!!p})||this;f.renderEdges_=void 0!==c&&c,f.pixelRatio_=s,f.gutter_=l,f.canvas_=null,f.sourceTileGrid_=r,f.targetTileGrid_=i,f.wrappedTileCoord_=a||o,f.sourceTiles_=[],f.sourcesListenerKeys_=null,f.sourceZ_=0;var d=i.getTileCoordExtent(f.wrappedTileCoord_),g=f.targetTileGrid_.getExtent(),_=f.sourceTileGrid_.getExtent(),y=g?Ce(d,g):d;if(0===_e(y))return f.state=ol,f;var v=e.getExtent();v&&(_=_?Ce(_,v):v);var m=i.getResolution(f.wrappedTileCoord_[0]),x=function(t,e,r,n){var i=me(r),o=Ny(t,e,i,n);return(!isFinite(o)||o<=0)&&ge(r,(function(r){return o=Ny(t,e,r,n),isFinite(o)&&o>0})),o}(e,n,y,m);if(!isFinite(x)||x<=0)return f.state=ol,f;var w=void 0!==h?h:.5;if(f.triangulation_=new ky(e,n,y,_,x*w,m),0===f.triangulation_.getTriangles().length)return f.state=ol,f;f.sourceZ_=r.getZForResolution(x);var S=f.triangulation_.calculateSourceExtent();if(_&&(e.canWrapX()?(S[1]=Ie(S[1],_[1],_[3]),S[3]=Ie(S[3],_[1],_[3])):S=Ce(S,_)),_e(S)){for(var C=r.getTileRangeForExtentAndZ(S,f.sourceZ_),E=C.minX;E<=C.maxX;E++)for(var T=C.minY;T<=C.maxY;T++){var b=u(f.sourceZ_,E,T,s);b&&f.sourceTiles_.push(b)}0===f.sourceTiles_.length&&(f.state=ol)}else f.state=ol;return f}return zy(e,t),e.prototype.getImage=function(){return this.canvas_},e.prototype.reproject_=function(){var t=[];if(this.sourceTiles_.forEach(function(e,r,n){e&&e.getState()==nl&&t.push({extent:this.sourceTileGrid_.getTileCoordExtent(e.tileCoord),image:e.getImage()})}.bind(this)),this.sourceTiles_.length=0,0===t.length)this.state=il;else{var e=this.wrappedTileCoord_[0],r=this.targetTileGrid_.getTileSize(e),n="number"==typeof r?r:r[0],i="number"==typeof r?r:r[1],o=this.targetTileGrid_.getResolution(e),a=this.sourceTileGrid_.getResolution(this.sourceZ_),s=this.targetTileGrid_.getTileCoordExtent(this.wrappedTileCoord_);this.canvas_=By(n,i,this.pixelRatio_,a,this.sourceTileGrid_.getExtent(),o,s,this.triangulation_,t,this.gutter_,this.renderEdges_,this.interpolate),this.state=nl}this.changed()},e.prototype.load=function(){if(this.state==el){this.state=rl,this.changed();var t=0;this.sourcesListenerKeys_=[],this.sourceTiles_.forEach(function(e,r,n){var i=e.getState();if(i==el||i==rl){t++;var o=N(e,T,(function(r){var n=e.getState();n!=nl&&n!=il&&n!=ol||(z(o),0===--t&&(this.unlistenSources_(),this.reproject_()))}),this);this.sourcesListenerKeys_.push(o)}}.bind(this)),0===t?setTimeout(this.reproject_.bind(this),0):this.sourceTiles_.forEach((function(t,e,r){t.getState()==el&&t.load()}))}},e.prototype.unlistenSources_=function(){this.sourcesListenerKeys_.forEach(z),this.sourcesListenerKeys_=null},e}(pl),Vy=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Xy=function(t){function e(e){var r=this,n=void 0===e.imageSmoothing||e.imageSmoothing;return void 0!==e.interpolate&&(n=e.interpolate),(r=t.call(this,{attributions:e.attributions,cacheSize:e.cacheSize,opaque:e.opaque,projection:e.projection,state:e.state,tileGrid:e.tileGrid,tileLoadFunction:e.tileLoadFunction?e.tileLoadFunction:Wy,tilePixelRatio:e.tilePixelRatio,tileUrlFunction:e.tileUrlFunction,url:e.url,urls:e.urls,wrapX:e.wrapX,transition:e.transition,interpolate:n,key:e.key,attributionsCollapsible:e.attributionsCollapsible,zDirection:e.zDirection})||this).crossOrigin=void 0!==e.crossOrigin?e.crossOrigin:null,r.tileClass=void 0!==e.tileClass?e.tileClass:dl,r.tileCacheForProjection={},r.tileGridForProjection={},r.reprojectionErrorThreshold_=e.reprojectionErrorThreshold,r.renderReprojectionEdges_=!1,r}return Vy(e,t),e.prototype.canExpireCache=function(){if(this.tileCache.canExpireCache())return!0;for(var t in this.tileCacheForProjection)if(this.tileCacheForProjection[t].canExpireCache())return!0;return!1},e.prototype.expireCache=function(t,e){var r=this.getTileCacheForProjection(t);for(var n in this.tileCache.expireCache(this.tileCache==r?e:{}),this.tileCacheForProjection){var i=this.tileCacheForProjection[n];i.expireCache(i==r?e:{})}},e.prototype.getGutterForProjection=function(t){return this.getProjection()&&t&&!Pr(this.getProjection(),t)?0:this.getGutter()},e.prototype.getGutter=function(){return 0},e.prototype.getKey=function(){var e=t.prototype.getKey.call(this);return this.getInterpolate()||(e+=":disable-interpolation"),e},e.prototype.getOpaque=function(e){return!(this.getProjection()&&e&&!Pr(this.getProjection(),e))&&t.prototype.getOpaque.call(this,e)},e.prototype.getTileGridForProjection=function(t){var e=this.getProjection();if(!this.tileGrid||e&&!Pr(e,t)){var r=n(t);return r in this.tileGridForProjection||(this.tileGridForProjection[r]=vy(t)),this.tileGridForProjection[r]}return this.tileGrid},e.prototype.getTileCacheForProjection=function(t){var e=this.getProjection();if(!e||Pr(e,t))return this.tileCache;var r=n(t);return r in this.tileCacheForProjection||(this.tileCacheForProjection[r]=new pp(this.tileCache.highWaterMark)),this.tileCacheForProjection[r]},e.prototype.createTile_=function(t,e,r,n,i,o){var a=[t,e,r],s=this.getTileCoordForTileUrlFunction(a,i),l=s?this.tileUrlFunction(s,n,i):void 0,u=new this.tileClass(a,void 0!==l?el:ol,void 0!==l?l:"",this.crossOrigin,this.tileLoadFunction,this.tileOptions);return u.key=o,u.addEventListener(T,this.handleTileChange.bind(this)),u},e.prototype.getTile=function(t,e,r,n,i){var o=this.getProjection();if(o&&i&&!Pr(o,i)){var a=this.getTileCacheForProjection(i),s=[t,e,r],l=void 0,u=sp(s);a.containsKey(u)&&(l=a.get(u));var h=this.getKey();if(l&&l.key==h)return l;var c=this.getTileGridForProjection(o),p=this.getTileGridForProjection(i),f=this.getTileCoordForTileUrlFunction(s,i),d=new Uy(o,c,i,p,s,f,this.getTilePixelRatio(n),this.getGutter(),function(t,e,r,n){return this.getTileInternal(t,e,r,n,o)}.bind(this),this.reprojectionErrorThreshold_,this.renderReprojectionEdges_,this.getInterpolate());return d.key=h,l?(d.interimTile=l,d.refreshInterimChain(),a.replace(u,d)):a.set(u,d),d}return this.getTileInternal(t,e,r,n,o||i)},e.prototype.getTileInternal=function(t,e,r,n,i){var o=null,a=ap(t,e,r),s=this.getKey();if(this.tileCache.containsKey(a)){if((o=this.tileCache.get(a)).key!=s){var l=o;o=this.createTile_(t,e,r,n,i,s),l.getState()==el?o.interimTile=l.interimTile:o.interimTile=l,o.refreshInterimChain(),this.tileCache.replace(a,o)}}else o=this.createTile_(t,e,r,n,i,s),this.tileCache.set(a,o);return o},e.prototype.setRenderReprojectionEdges=function(t){if(this.renderReprojectionEdges_!=t){for(var e in this.renderReprojectionEdges_=t,this.tileCacheForProjection)this.tileCacheForProjection[e].clear();this.changed()}},e.prototype.setTileGridForProjection=function(t,e){var r=Er(t);if(r){var i=n(r);i in this.tileGridForProjection||(this.tileGridForProjection[i]=e)}},e}(Fy);function Wy(t,e){t.getImage().src=e}var Yy=Xy,Ky=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}();!function(t){function e(e){var r=this,n="Unexpected response status: "+e.status;return(r=t.call(this,n)||this).name="ResponseError",r.response=e,r}Ky(e,t)}(Error),function(t){function e(e){var r=t.call(this,"Failed to issue request")||this;return r.name="ClientError",r.client=e,r}Ky(e,t)}(Error);var Zy=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Hy=function(t){function e(e){var r=this,n=e||{},i=m({},n);return delete i.preload,delete i.useInterimTilesOnError,(r=t.call(this,i)||this).on,r.once,r.un,r.setPreload(void 0!==n.preload?n.preload:0),r.setUseInterimTilesOnError(void 0===n.useInterimTilesOnError||n.useInterimTilesOnError),r}return Zy(e,t),e.prototype.getPreload=function(){return this.get(ly)},e.prototype.setPreload=function(t){this.set(ly,t)},e.prototype.getUseInterimTilesOnError=function(){return this.get(uy)},e.prototype.setUseInterimTilesOnError=function(t){this.set(uy,t)},e}(Oo),qy=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Jy=function(t){function e(e){return t.call(this,e)||this}return qy(e,t),e.prototype.createRenderer=function(){return new $_(this)},e}(Hy),Qy=function(){function t(t,e){this.name=t,this.data=e,this.texture_=null}return t.prototype.getTexture=function(t){if(!this.texture_){var e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.data.length/4,1,0,t.RGBA,t.UNSIGNED_BYTE,this.data),this.texture_=e}return this.texture_},t}(),$y=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}();function tv(t,e,r){var n=r?t.LINEAR:t.NEAREST;t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n)}function ev(t,e,r,n,i,o){var a=t.getGL();tv(a,e,o);var s,l,u=r.byteLength/n[1],h=1;switch(u%8==0?h=8:u%4==0?h=4:u%2==0&&(h=2),i){case 1:s=a.LUMINANCE;break;case 2:s=a.LUMINANCE_ALPHA;break;case 3:s=a.RGB;break;case 4:s=a.RGBA;break;default:throw new Error("Unsupported number of bands: "+i)}r instanceof Float32Array?(l=a.FLOAT,t.getExtension("OES_texture_float"),t.getExtension("OES_texture_float_linear")):l=a.UNSIGNED_BYTE;var c=a.getParameter(a.UNPACK_ALIGNMENT);a.pixelStorei(a.UNPACK_ALIGNMENT,h),a.texImage2D(a.TEXTURE_2D,0,s,n[0],n[1],0,s,l,r),a.pixelStorei(a.UNPACK_ALIGNMENT,c)}var rv=function(t){function e(e,r,n){var i=t.call(this)||this;i.tile,i.textures=[],i.handleTileChange_=i.handleTileChange_.bind(i),i.size=ii(r.getTileSize(e.tileCoord[0])),i.bandCount=NaN,i.helper_=n;var o=new u_(t_,r_);return o.fromArray([0,1,1,1,1,0,0,0]),n.flushBufferData(o),i.coords=o,i.setTile(e),i}return $y(e,t),e.prototype.setTile=function(t){t!==this.tile&&(this.tile&&this.tile.removeEventListener(T,this.handleTileChange_),this.tile=t,this.textures.length=0,this.loaded=t.getState()===nl,this.loaded?this.uploadTile_():t.addEventListener(T,this.handleTileChange_))},e.prototype.uploadTile_=function(){var t=this.helper_,e=t.getGL(),r=this.tile;if(r instanceof dl||r instanceof Uy){var n=e.createTexture();return this.textures.push(n),this.bandCount=4,void function(t,e,r,n){tv(t,e,n),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,r)}(e,n,r.getImage(),r.interpolate)}var i=r.getData(),o=i instanceof Float32Array,a=this.size[0]*this.size[1],s=o?Float32Array:Uint8Array,l=s.BYTES_PER_ELEMENT,u=i.byteLength/this.size[1];this.bandCount=Math.floor(u/l/this.size[0]);var h=Math.ceil(this.bandCount/4);if(1===h){n=e.createTexture();return this.textures.push(n),void ev(t,n,i,this.size,this.bandCount,r.interpolate)}for(var c=new Array(h),p=0;p<h;++p){n=e.createTexture();this.textures.push(n);var f=p<h-1?4:this.bandCount%4;c[p]=new s(a*f)}for(var d=0,g=0,_=this.size[0]*this.bandCount,y=0;y<this.size[1];++y){for(var v=0;v<_;++v){var m=i[g+v],x=Math.floor(d/this.bandCount),w=v%this.bandCount;(S=c[p=Math.floor(w/4)])[x*(f=S.length/a)+w%4]=m,++d}g+=u/l}for(p=0;p<h;++p){var S;n=this.textures[p],f=(S=c[p]).length/a;ev(t,n,S,this.size,f,r.interpolate)}},e.prototype.handleTileChange_=function(){this.tile.getState()===nl&&(this.loaded=!0,this.uploadTile_(),this.dispatchEvent(T))},e.prototype.disposeInternal=function(){var t=this.helper_.getGL();this.helper_.deleteBuffer(this.coords);for(var e=0;e<this.textures.length;++e)t.deleteTexture(this.textures[e]);this.tile.removeEventListener(T,this.handleTileChange_)},e}(E),nv=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),iv="u_tileTextures",ov="u_tileTransform",av="u_transitionAlpha",sv="u_depth",lv="u_texturePixelWidth",uv="u_texturePixelHeight",hv="u_resolution",cv="u_zoom",pv=[{name:"a_textureCoord",size:2,type:S_.FLOAT}],fv={};function dv(t){return 2*(1-1/(t+1))-1}function gv(t,e,r){r in t||(t[r]=[]),t[r].push(e)}function _v(t,e){var r=t.layerStatesArray[t.layerIndex];r.extent&&(e=Ce(e,Gr(r.extent,t.viewState.projection)));var n=r.layer.getSource();if(!n.getWrapX()){var i=n.tileGrid.getExtent();i&&(e=Ce(e,i))}return e}var yv=function(t){function e(e,r){var n=t.call(this,e,{uniforms:r.uniforms})||this;n.tileTransform_=[1,0,0,1,0,0],n.tempMat4_=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],n.tempTileRange_=new gp(0,0,0,0),n.tempTileCoord_=op(0,0,0),n.tempSize_=[0,0],n.program_,n.vertexShader_=r.vertexShader,n.fragmentShader_=r.fragmentShader,n.indices_=new u_(e_,r_),n.indices_.fromArray([0,1,3,1,2,3]);var i=void 0!==r.cacheSize?r.cacheSize:512;return n.tileTextureCache_=new ip(i),n.paletteTextures_=r.paletteTextures||[],n}return nv(e,t),e.prototype.reset=function(e){t.prototype.reset.call(this,{uniforms:e.uniforms}),this.vertexShader_=e.vertexShader,this.fragmentShader_=e.fragmentShader,this.paletteTextures_=e.paletteTextures||[],this.helper&&(this.program_=this.helper.getProgram(this.fragmentShader_,this.vertexShader_))},e.prototype.afterHelperCreated=function(){this.program_=this.helper.getProgram(this.fragmentShader_,this.vertexShader_),this.helper.flushBufferData(this.indices_)},e.prototype.isDrawableTile_=function(t){var e=this.getLayer(),r=t.getState(),n=e.getUseInterimTilesOnError();return r==nl||r==ol||r==il&&!n},e.prototype.prepareFrameInternal=function(t){var e=this.getLayer().getSource();return!!e&&(!Pe(_v(t,t.extent))&&e.getState()===Eo)},e.prototype.enqueueTiles=function(t,e,r,i){var o=t.viewState,a=this.getLayer().getSource(),s=a.getTileGridForProjection(o.projection),l=this.tileTextureCache_,u=s.getTileRangeForExtentAndZ(e,r,this.tempTileRange_),h=n(a);h in t.wantedTiles||(t.wantedTiles[h]={});for(var c=t.wantedTiles[h],p=s.getResolution(r),f=u.minX;f<=u.maxX;++f)for(var d=u.minY;d<=u.maxY;++d){var g=op(r,f,d,this.tempTileCoord_),_=sp(g),y=void 0,v=void 0;if(l.containsKey(_)&&(v=(y=l.get(_)).tile),!y||y.tile.key!==a.getKey())if(v=a.getTile(r,f,d,t.pixelRatio,o.projection),y)if(this.isDrawableTile_(v))y.setTile(v);else{var m=v.getInterimTile();y.setTile(m)}else y=new rv(v,s,this.helper),l.set(_,y);gv(i,y,r);var x=v.getKey();c[x]=!0,v.getState()===el&&(t.tileQueue.isKeyQueued(x)||t.tileQueue.enqueue([v,h,s.getTileCoordCenter(g),p]))}},e.prototype.renderFrame=function(t){var e=this.helper.getGL();this.preRender(e,t);var r=t.viewState,i=this.getLayer().getSource(),o=i.getTileGridForProjection(r.projection),a=_v(t,t.extent),s=o.getZForResolution(r.resolution,i.zDirection),l={};if(t.nextExtent){var u=o.getZForResolution(r.nextResolution,i.zDirection),c=_v(t,t.nextExtent);this.enqueueTiles(t,c,u,l)}this.enqueueTiles(t,a,s,l);for(var p={},f=n(this),d=t.time,g=!1,_=l[s],y=0,v=_.length;y<v;++y){var m=(k=(H=_[y]).tile).tileCoord;if(H.loaded){if(1===(j=k.getAlpha(f,d))){k.endTransition(f);continue}g=!0,p[G=sp(m)]=j}if(!this.findAltTiles_(o,m,s+1,l))for(var x=o.getMinZoom(),w=s-1;w>=x;--w){if(this.findAltTiles_(o,m,w,l))break}}this.helper.useProgram(this.program_),this.helper.prepareDraw(t,!g);for(var S=Object.keys(l).map(Number).sort(h),C=r.center[0],E=r.center[1],T=0,b=S.length;T<b;++T){var R=S[T],P=o.getResolution(R),O=ii(o.getTileSize(R),this.tempSize_),F=o.getOrigin(R),I=(C-F[0])/(O[0]*P),L=(F[1]-E)/(O[1]*P),M=r.resolution/P,A=dv(R),D=l[R];for(y=0,v=D.length;y<v;++y){if((H=D[y]).loaded){var k,j,G=sp(m=(k=H.tile).tileCoord),N=m[1],B=m[2];Gt(this.tileTransform_,0,0,2/(t.size[0]*M/O[0]),-2/(t.size[1]*M/O[1]),r.rotation,-(I-N),-(L-B)),this.helper.setUniformMatrixValue(ov,d_(this.tempMat4_,this.tileTransform_)),this.helper.bindBuffer(H.coords),this.helper.bindBuffer(this.indices_),this.helper.enableAttributes(pv);for(var z=0;z<H.textures.length;){var U="TEXTURE"+z,V=iv+"["+z+"]";e.activeTexture(e[U]),e.bindTexture(e.TEXTURE_2D,H.textures[z]),e.uniform1i(this.helper.getUniformLocation(V),z),++z}for(var X=0;X<this.paletteTextures_.length;++X){var W=this.paletteTextures_[X];e.activeTexture(e["TEXTURE"+z]);var Y=W.getTexture(e);e.bindTexture(e.TEXTURE_2D,Y),e.uniform1i(this.helper.getUniformLocation(W.name),z),++z}(j=G in p?p[G]:1)<1&&(t.animate=!0),this.helper.setUniformFloatValue(av,j),this.helper.setUniformFloatValue(sv,A),this.helper.setUniformFloatValue(lv,O[0]),this.helper.setUniformFloatValue(uv,O[1]),this.helper.setUniformFloatValue(hv,r.resolution),this.helper.setUniformFloatValue(cv,r.zoom),this.helper.drawElements(0,this.indices_.getSize())}}}this.helper.finalizeDraw(t,this.dispatchPreComposeEvent,this.dispatchPostComposeEvent);for(var K=this.helper.getCanvas(),Z=this.tileTextureCache_;Z.canExpireCache();){var H;(H=Z.pop()).dispose()}return t.postRenderFunctions.push((function(t,e){i.expireCache(e.viewState.projection,fv)})),this.postRender(e,t),K},e.prototype.findAltTiles_=function(t,e,r,n){var i=t.getTileRangeForTileCoordAndZ(e,r,this.tempTileRange_);if(!i)return!1;for(var o=!0,a=this.tileTextureCache_,s=i.minX;s<=i.maxX;++s)for(var l=i.minY;l<=i.maxY;++l){var u=ap(r,s,l),h=!1;if(a.containsKey(u)){var c=a.get(u);c.loaded&&(gv(n,c,r),h=!0)}h||(o=!1)}return o},e.prototype.disposeInternal=function(){var e=this.helper,r=e.getGL();e.deleteBuffer(this.indices_),delete this.indices_,r.deleteProgram(this.program_),delete this.program_;var n=this.tileTextureCache_;n.forEach((function(t){t.dispose()})),n.clear(),delete this.tileTextureCache_,t.prototype.disposeInternal.call(this)},e}(I_);yv.prototype.getLayer;var vv=1,mv=2,xv=4,wv=8,Sv=16,Cv=31,Ev=0,Tv={};function bv(t){if("number"==typeof t)return vv;if("boolean"==typeof t)return wv;if("string"==typeof t)return e=t,li.test(e)&&(e=hi(e)),si.test(e)||0===e.indexOf("rgba(")||0===e.indexOf("rgb(")?xv|mv:mv;var e;if(!Array.isArray(t))throw new Error("Unhandled value type: "+JSON.stringify(t));var r=t;if(r.every((function(t){return"number"==typeof t})))return 3===r.length||4===r.length?xv|Sv:Sv;if("string"!=typeof r[0])throw new Error("Expected an expression operator but received: "+JSON.stringify(r));var n=Tv[r[0]];if(void 0===n)throw new Error("Unrecognized expression operator: 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"+JSON.stringify(t))}function Bv(t){return"u_var_"+t}Tv.get={getReturnType:function(t){return Cv},toGlsl:function(t,e){Dv(e,1),Mv(e[0]);var r=e[0].toString();return-1===t.attributes.indexOf(r)&&t.attributes.push(r),(t.inFragmentShader?"v_":"a_")+r}},Tv.var={getReturnType:function(t){return Cv},toGlsl:function(t,e){Dv(e,1),Mv(e[0]);var r=e[0].toString();return-1===t.variables.indexOf(r)&&t.variables.push(r),Bv(r)}};Tv.palette={getReturnType:function(t){return xv},toGlsl:function(t,e){Dv(e,2),Iv(e[0]);var r=Fv(t,e[0]),n=e[1];if(!Array.isArray(n))throw new Error("The second argument of palette must be an array");for(var i=n.length,o=new Uint8Array(4*i),a=0;a<i;a++){var s=n[a],l=void 0;if("string"==typeof s)l=ci(s);else{if(!Array.isArray(s))throw new Error("The second argument of palette must be an array of strings or colors");var u=s.length;if(4===u)l=s;else{if(3!==u)throw new Error("Expected palette color to have 3 or 4 values, got "+u);l=[s[0],s[1],s[2],1]}}var h=4*a;o[h]=l[0],o[h+1]=l[1],o[h+2]=l[2],o[h+3]=255*l[3]}t.paletteTextures||(t.paletteTextures=[]);var c="u_paletteTextures["+t.paletteTextures.length+"]",p=new Qy(c,o);return t.paletteTextures.push(p),"texture2D("+c+", vec2(("+r+" + 0.5) / "+i+".0, 0.5))"}};var zv="getBandValue";function Uv(t){return{getReturnType:function(t){return wv},toGlsl:function(e,r){Dv(r,2);for(var n=Cv,i=0;i<r.length;i++)n&=bv(r[i]);if(n===Ev)throw new Error("All arguments should be of compatible type, got "+JSON.stringify(r)+" instead");return n&=~xv,"("+Fv(e,r[0],n)+" "+t+" "+Fv(e,r[1],n)+")"}}}function Vv(t){return{getReturnType:function(t){return wv},toGlsl:function(e,r){kv(r,2);for(var n=0;n<r.length;n++)Av(r[n]);return"("+r.map((function(t){return Fv(e,t)})).join(" "+t+" ")+")"}}}Tv.band={getReturnType:function(t){return vv},toGlsl:function(t,e){kv(e,1),jv(e,3);var r=e[0];if(!(zv in t.functions)){for(var n="",i=t.bandCount||1,o=0;o<i;o++){var a=Math.floor(o/4),s=o%4;s===i-1&&1===s&&(s=3),n+="\n          if (band == "+(o+1)+".0) {\n            return texture2D("+(iv+"["+a+"]")+", v_textureCoord + vec2(dx, dy))["+s+"];\n          }\n        "}t.functions.getBandValue="\n        float getBandValue(float band, float xOffset, float yOffset) {\n          float dx = xOffset / "+lv+";\n          float dy = yOffset / "+uv+";\n          "+n+"\n        }\n      "}return"getBandValue("+Fv(t,r)+", "+Fv(t,e[1]||0)+", "+Fv(t,e[2]||0)+")"}},Tv.time={getReturnType:function(t){return vv},toGlsl:function(t,e){return Dv(e,0),"u_time"}},Tv.zoom={getReturnType:function(t){return vv},toGlsl:function(t,e){return Dv(e,0),"u_zoom"}},Tv.resolution={getReturnType:function(t){return vv},toGlsl:function(t,e){return Dv(e,0),"u_resolution"}},Tv["*"]={getReturnType:function(t){return vv},toGlsl:function(t,e){return Dv(e,2),Lv(e),"("+Fv(t,e[0])+" * "+Fv(t,e[1])+")"}},Tv["/"]={getReturnType:function(t){return vv},toGlsl:function(t,e){return Dv(e,2),Lv(e),"("+Fv(t,e[0])+" / 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Dv(e,1),Lv(e),"cos("+Fv(t,e[0])+")"}},Tv.atan={getReturnType:function(t){return vv},toGlsl:function(t,e){return kv(e,1),jv(e,2),Lv(e),2===e.length?"atan("+Fv(t,e[0])+", "+Fv(t,e[1])+")":"atan("+Fv(t,e[0])+")"}},Tv[">"]={getReturnType:function(t){return wv},toGlsl:function(t,e){return Dv(e,2),Lv(e),"("+Fv(t,e[0])+" > "+Fv(t,e[1])+")"}},Tv[">="]={getReturnType:function(t){return wv},toGlsl:function(t,e){return Dv(e,2),Lv(e),"("+Fv(t,e[0])+" >= "+Fv(t,e[1])+")"}},Tv["<"]={getReturnType:function(t){return wv},toGlsl:function(t,e){return Dv(e,2),Lv(e),"("+Fv(t,e[0])+" < "+Fv(t,e[1])+")"}},Tv["<="]={getReturnType:function(t){return wv},toGlsl:function(t,e){return Dv(e,2),Lv(e),"("+Fv(t,e[0])+" <= "+Fv(t,e[1])+")"}},Tv["=="]=Uv("=="),Tv["!="]=Uv("!="),Tv["!"]={getReturnType:function(t){return wv},toGlsl:function(t,e){return Dv(e,1),Av(e[0]),"(!"+Fv(t,e[0])+")"}},Tv.all=Vv("&&"),Tv.any=Vv("||"),Tv.between={getReturnType:function(t){return wv},toGlsl:function(t,e){Dv(e,3),Lv(e);var r=Fv(t,e[1]),n=Fv(t,e[2]),i=Fv(t,e[0]);return"("+i+" >= "+r+" && "+i+" <= "+n+")"}},Tv.array={getReturnType:function(t){return Sv},toGlsl:function(t,e){kv(e,2),jv(e,4),Lv(e);var r=e.map((function(e){return Fv(t,e,vv)}));return"vec"+e.length+"("+r.join(", ")+")"}},Tv.color={getReturnType:function(t){return xv},toGlsl:function(t,e){kv(e,3),jv(e,4),Lv(e);var r=e;3===e.length&&r.push(1);var n=e.map((function(e,r){return Fv(t,e,vv)+(r<3?" / 255.0":"")}));return"vec"+e.length+"("+n.join(", ")+")"}},Tv.interpolate={getReturnType:function(t){for(var e=xv|vv,r=3;r<t.length;r+=2)e&=bv(t[r]);return e},toGlsl:function(t,e,r){Gv(e),kv(e,6);var n,i=e[0];switch(i[0]){case"linear":n=1;break;case"exponential":n=i[1];break;default:n=null}if(!n)throw new Error('Invalid interpolation type for "interpolate" operator, received: '+JSON.stringify(i));var o=void 0!==r?r:Cv,a=Tv.interpolate.getReturnType(e)&o;Nv(e,a);for(var s=Fv(t,e[1]),l=Rv(n),u="",h=2;h<e.length-2;h+=2){var c=Fv(t,e[h]),p=u||Fv(t,e[h+1],a),f=Fv(t,e[h+2]);u="mix("+p+", "+Fv(t,e[h+3],a)+", pow(clamp(("+s+" - "+c+") / ("+f+" - "+c+"), 0.0, 1.0), "+l+"))"}return u}},Tv.match={getReturnType:function(t){for(var e=Cv,r=2;r<t.length;r+=2)e&=bv(t[r]);return e&=bv(t[t.length-1])},toGlsl:function(t,e,r){Gv(e),kv(e,4);var n=void 0!==r?r:Cv,i=Tv.match.getReturnType(e)&n;Nv(e,i);for(var o=Fv(t,e[0]),a=Fv(t,e[e.length-1],i),s=null,l=e.length-3;l>=1;l-=2){s="("+o+" == "+Fv(t,e[l])+" ? "+Fv(t,e[l+1],i)+" : "+(s||a)+")"}return s}},Tv.case={getReturnType:function(t){for(var e=Cv,r=1;r<t.length;r+=2)e&=bv(t[r]);return e&=bv(t[t.length-1])},toGlsl:function(t,e,r){!function(t){if(t.length%2==0)throw new Error("An odd amount of arguments was expected, got "+t+" instead")}(e),kv(e,3);var n=void 0!==r?r:Cv,i=Tv.case.getReturnType(e)&n;Nv(e,i);for(var o=0;o<e.length-1;o+=2)Av(e[o]);var a=Fv(t,e[e.length-1],i),s=null;for(o=e.length-3;o>=0;o-=2){s="("+Fv(t,e[o])+" ? "+Fv(t,e[o+1],i)+" : "+(s||a)+")"}return s}};var Xv=function(){function t(){this.uniforms=[],this.attributes=[],this.varyings=[],this.sizeExpression="vec2(1.0)",this.rotationExpression="0.0",this.offsetExpression="vec2(0.0)",this.colorExpression="vec4(1.0)",this.texCoordExpression="vec4(0.0, 0.0, 1.0, 1.0)",this.discardExpression="false",this.rotateWithView=!1}return t.prototype.addUniform=function(t){return this.uniforms.push(t),this},t.prototype.addAttribute=function(t){return this.attributes.push(t),this},t.prototype.addVarying=function(t,e,r){return this.varyings.push({name:t,type:e,expression:r}),this},t.prototype.setSizeExpression=function(t){return this.sizeExpression=t,this},t.prototype.setRotationExpression=function(t){return this.rotationExpression=t,this},t.prototype.setSymbolOffsetExpression=function(t){return this.offsetExpression=t,this},t.prototype.setColorExpression=function(t){return this.colorExpression=t,this},t.prototype.setTextureCoordinateExpression=function(t){return this.texCoordExpression=t,this},t.prototype.setFragmentDiscardExpression=function(t){return this.discardExpression=t,this},t.prototype.setSymbolRotateWithView=function(t){return this.rotateWithView=t,this},t.prototype.getSizeExpression=function(){return this.sizeExpression},t.prototype.getOffsetExpression=function(){return this.offsetExpression},t.prototype.getColorExpression=function(){return this.colorExpression},t.prototype.getTextureCoordinateExpression=function(){return this.texCoordExpression},t.prototype.getFragmentDiscardExpression=function(){return this.discardExpression},t.prototype.getSymbolVertexShader=function(t){var e=this.rotateWithView?"u_offsetScaleMatrix * u_offsetRotateMatrix":"u_offsetScaleMatrix",r=this.attributes,n=this.varyings;return t&&(r=r.concat("vec4 a_hitColor"),n=n.concat({name:"v_hitColor",type:"vec4",expression:"a_hitColor"})),"precision mediump float;\nuniform mat4 u_projectionMatrix;\nuniform mat4 u_offsetScaleMatrix;\nuniform mat4 u_offsetRotateMatrix;\nuniform float u_time;\nuniform float u_zoom;\nuniform float u_resolution;\n"+this.uniforms.map((function(t){return"uniform "+t+";"})).join("\n")+"\nattribute vec2 a_position;\nattribute float a_index;\n"+r.map((function(t){return"attribute "+t+";"})).join("\n")+"\nvarying vec2 v_texCoord;\nvarying vec2 v_quadCoord;\n"+n.map((function(t){return"varying "+t.type+" "+t.name+";"})).join("\n")+"\nvoid main(void) {\n  mat4 offsetMatrix = "+e+";\n  vec2 halfSize = "+this.sizeExpression+" * 0.5;\n  vec2 offset = "+this.offsetExpression+";\n  float angle = "+this.rotationExpression+";\n  float offsetX;\n  float offsetY;\n  if (a_index == 0.0) {\n    offsetX = (offset.x - halfSize.x) * cos(angle) + (offset.y - halfSize.y) * sin(angle);\n    offsetY = (offset.y - halfSize.y) * cos(angle) - (offset.x - halfSize.x) * sin(angle);\n  } else if (a_index == 1.0) {\n    offsetX = (offset.x + halfSize.x) * cos(angle) + (offset.y - halfSize.y) * sin(angle);\n    offsetY = (offset.y - halfSize.y) * cos(angle) - (offset.x + halfSize.x) * sin(angle);\n  } else if (a_index == 2.0) {\n    offsetX = (offset.x + halfSize.x) * cos(angle) + (offset.y + halfSize.y) * sin(angle);\n    offsetY = (offset.y + halfSize.y) * cos(angle) - (offset.x + halfSize.x) * sin(angle);\n  } else {\n    offsetX = (offset.x - halfSize.x) * cos(angle) + (offset.y + halfSize.y) * sin(angle);\n    offsetY = (offset.y + halfSize.y) * cos(angle) - (offset.x - halfSize.x) * sin(angle);\n  }\n  vec4 offsets = offsetMatrix * vec4(offsetX, offsetY, 0.0, 0.0);\n  gl_Position = u_projectionMatrix * vec4(a_position, 0.0, 1.0) + offsets;\n  vec4 texCoord = "+this.texCoordExpression+";\n  float u = a_index == 0.0 || a_index == 3.0 ? texCoord.s : texCoord.p;\n  float v = a_index == 2.0 || a_index == 3.0 ? texCoord.t : texCoord.q;\n  v_texCoord = vec2(u, v);\n  u = a_index == 0.0 || a_index == 3.0 ? 0.0 : 1.0;\n  v = a_index == 2.0 || a_index == 3.0 ? 0.0 : 1.0;\n  v_quadCoord = vec2(u, v);\n"+n.map((function(t){return"  "+t.name+" = "+t.expression+";"})).join("\n")+"\n}"},t.prototype.getSymbolFragmentShader=function(t){var e=t?"  if (gl_FragColor.a < 0.1) { discard; } gl_FragColor = v_hitColor;":"",r=this.varyings;return t&&(r=r.concat({name:"v_hitColor",type:"vec4",expression:"a_hitColor"})),"precision mediump float;\nuniform float u_time;\nuniform float u_zoom;\nuniform float u_resolution;\n"+this.uniforms.map((function(t){return"uniform "+t+";"})).join("\n")+"\nvarying vec2 v_texCoord;\nvarying vec2 v_quadCoord;\n"+r.map((function(t){return"varying "+t.type+" "+t.name+";"})).join("\n")+"\nvoid main(void) {\n  if ("+this.discardExpression+") { discard; }\n  gl_FragColor = "+this.colorExpression+";\n  gl_FragColor.rgb *= gl_FragColor.a;\n"+e+"\n}"},t}();var Wv=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),Yv=function(t){function e(e){var r=this,n=m({},e);return(r=t.call(this,n)||this).parseResult_=function(t){var e=t.symbol,r=void 0!==e.size?e.size:1,n=e.color||"white",i=e.textureCoord||[0,0,1,1],o=e.offset||[0,0],a=void 0!==e.opacity?e.opacity:1,s=void 0!==e.rotation?e.rotation:0,l={inFragmentShader:!1,variables:[],attributes:[],stringLiteralsMap:{},functions:{}},u=Fv(l,r,Sv|vv),h=Fv(l,o,Sv),c=Fv(l,i,Sv),p=Fv(l,s,vv),f={inFragmentShader:!0,variables:l.variables,attributes:[],stringLiteralsMap:l.stringLiteralsMap,functions:{}},d=Fv(f,n,xv),g=Fv(f,a,vv),_="1.0",y="vec2("+Fv(f,r,Sv|vv)+").x";switch(e.symbolType){case"square":case"image":break;case"circle":_="(1.0-smoothstep(1.-4./"+y+",1.,dot(v_quadCoord-.5,v_quadCoord-.5)*4.))";break;case"triangle":var v="(v_quadCoord*2.-1.)",m="(atan("+v+".x,"+v+".y))";_="(1.0-smoothstep(.5-3./"+y+",.5,cos(floor(.5+"+m+"/2.094395102)*2.094395102-"+m+")*length("+v+")))";break;default:throw new Error("Unexpected symbol type: "+e.symbolType)}var x=(new Xv).setSizeExpression("vec2("+u+")").setRotationExpression(p).setSymbolOffsetExpression(h).setTextureCoordinateExpression(c).setSymbolRotateWithView(!!e.rotateWithView).setColorExpression("vec4("+d+".rgb, "+d+".a * "+g+" * "+_+")");if(t.filter){var w=Fv(f,t.filter,wv);x.setFragmentDiscardExpression("!"+w)}var S={};if(f.variables.forEach((function(e){var r=Bv(e);x.addUniform("float "+r),S[r]=function(){if(!t.variables||void 0===t.variables[e])throw new Error("The following variable is missing from the style: "+e);var r=t.variables[e];return"string"==typeof r&&(r=Ov(l,r)),void 0!==r?r:-9999999}})),"image"===e.symbolType&&e.src){var C=new Image;C.src=e.src,x.addUniform("sampler2D u_texture").setColorExpression(x.getColorExpression()+" * texture2D(u_texture, v_texCoord)"),S.u_texture=C}return f.attributes.forEach((function(t){-1===l.attributes.indexOf(t)&&l.attributes.push(t),x.addVarying("v_"+t,"float","a_"+t)})),l.attributes.forEach((function(t){x.addAttribute("float a_"+t)})),{builder:x,attributes:l.attributes.map((function(t){return{name:t,callback:function(e,r){var n=r[t];return"string"==typeof n&&(n=Ov(l,n)),void 0!==n?n:-9999999}}})),uniforms:S}}(e.style),r.hitDetectionDisabled_=!!e.disableHitDetection,r}return Wv(e,t),e.prototype.createRenderer=function(){return new k_(this,{vertexShader:this.parseResult_.builder.getSymbolVertexShader(),fragmentShader:this.parseResult_.builder.getSymbolFragmentShader(),hitVertexShader:!this.hitDetectionDisabled_&&this.parseResult_.builder.getSymbolVertexShader(!0),hitFragmentShader:!this.hitDetectionDisabled_&&this.parseResult_.builder.getSymbolFragmentShader(!0),uniforms:this.parseResult_.uniforms,attributes:this.parseResult_.attributes})},e}(Oo),Kv=Yv,Zv=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}();var Hv=function(t){function e(e){var r=this,i=void 0!==e.hidpi&&e.hidpi,o=void 0===e.imageSmoothing||e.imageSmoothing;return void 0!==e.interpolate&&(o=e.interpolate),(r=t.call(this,{cacheSize:e.cacheSize,crossOrigin:"anonymous",interpolate:o,opaque:!0,projection:Er("EPSG:3857"),reprojectionErrorThreshold:e.reprojectionErrorThreshold,state:Co,tileLoadFunction:e.tileLoadFunction,tilePixelRatio:i?2:1,wrapX:void 0===e.wrapX||e.wrapX,transition:e.transition,zDirection:e.zDirection})||this).hidpi_=i,r.culture_=void 0!==e.culture?e.culture:"en-us",r.maxZoom_=void 0!==e.maxZoom?e.maxZoom:-1,r.apiKey_=e.key,r.imagerySet_=e.imagerySet,function(t,e,r,i){var o=document.createElement("script"),a="olc_"+n(e);function s(){delete window[a],o.parentNode.removeChild(o)}o.async=!0,o.src=t+(-1==t.indexOf("?")?"?":"&")+(i||"callback")+"="+a;var l=setTimeout((function(){s(),r&&r()}),1e4);window[a]=function(t){clearTimeout(l),s(),e(t)},document.getElementsByTagName("head")[0].appendChild(o)}("https://dev.virtualearth.net/REST/v1/Imagery/Metadata/"+r.imagerySet_+"?uriScheme=https&include=ImageryProviders&key="+r.apiKey_+"&c="+r.culture_,r.handleImageryMetadataResponse.bind(r),void 0,"jsonp"),r}return Zv(e,t),e.prototype.getApiKey=function(){return this.apiKey_},e.prototype.getImagerySet=function(){return this.imagerySet_},e.prototype.handleImageryMetadataResponse=function(t){if(200==t.statusCode&&"OK"==t.statusDescription&&"ValidCredentials"==t.authenticationResultCode&&1==t.resourceSets.length&&1==t.resourceSets[0].resources.length){var e=t.resourceSets[0].resources[0],r=-1==this.maxZoom_?e.zoomMax:this.maxZoom_,n=Sy(this.getProjection()),i=this.hidpi_?2:1,o=e.imageWidth==e.imageHeight?e.imageWidth/i:[e.imageWidth/i,e.imageHeight/i],a=my({extent:n,minZoom:e.zoomMin,maxZoom:r,tileSize:o});this.tileGrid=a;var s=this.culture_,l=this.hidpi_;if(this.tileUrlFunction=Py(e.imageUrlSubdomains.map((function(t){var r=[0,0,0],n=e.imageUrl.replace("{subdomain}",t).replace("{culture}",s);return function(t,e,i){if(t){op(t[0],t[1],t[2],r);var o=n;return l&&(o+="&dpi=d1&device=mobile"),o.replace("{quadkey}",function(t){var e,r,n=t[0],i=new Array(n),o=1<<n-1;for(e=0;e<n;++e)r=48,t[1]&o&&(r+=1),t[2]&o&&(r+=2),i[e]=String.fromCharCode(r),o>>=1;return i.join("")}(r))}}}))),e.imageryProviders){var u=Or(Er("EPSG:4326"),this.getProjection());this.setAttributions(function(t){var r=[],n=t.viewState,i=this.getTileGrid(),o=i.getZForResolution(n.resolution,this.zDirection),a=i.getTileCoordForCoordAndZ(n.center,o)[0];return e.imageryProviders.map((function(e){for(var n=!1,i=e.coverageAreas,o=0,s=i.length;o<s;++o){var l=i[o];if(a>=l.zoomMin&&a<=l.zoomMax){var h=l.bbox;if(Re(Oe([h[1],h[0],h[3],h[2]],u),t.extent)){n=!0;break}}}n&&r.push(e.attribution)})),r.push('<a class="ol-attribution-bing-tos" 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e=be(this.targetExtent_)/this.targetResolution_,r=Se(this.targetExtent_)/this.targetResolution_;this.canvas_=By(e,r,this.sourcePixelRatio_,this.sourceImage_.getResolution(),this.maxSourceExtent_,this.targetResolution_,this.targetExtent_,this.triangulation_,[{extent:this.sourceImage_.getExtent(),image:this.sourceImage_.getImage()}],0,void 0,this.interpolate_)}this.state=t,this.changed()},e.prototype.load=function(){if(this.state==qn){this.state=Jn,this.changed();var t=this.sourceImage_.getState();t==Qn||t==$n?this.reproject_():(this.sourceListenerKey_=N(this.sourceImage_,T,(function(t){var e=this.sourceImage_.getState();e!=Qn&&e!=$n||(this.unlistenSource_(),this.reproject_())}),this),this.sourceImage_.load())}},e.prototype.unlistenSource_=function(){z(this.sourceListenerKey_),this.sourceListenerKey_=null},e}(hs),em=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),rm="imageloadstart",nm="imageloadend",im="imageloaderror",om=function(t){function e(e,r){var n=t.call(this,e)||this;return n.image=r,n}return em(e,t),e}(s);function am(t,e){t.getImage().src=e}var sm=function(t){function r(e){var r=this,n=void 0===e.imageSmoothing||e.imageSmoothing;return void 0!==e.interpolate&&(n=e.interpolate),(r=t.call(this,{attributions:e.attributions,projection:e.projection,state:e.state,interpolate:n})||this).on,r.once,r.un,r.resolutions_=void 0!==e.resolutions?e.resolutions:null,r.reprojectedImage_=null,r.reprojectedRevision_=0,r}return em(r,t),r.prototype.getResolutions=function(){return this.resolutions_},r.prototype.findNearestResolution=function(t){if(this.resolutions_){var e=p(this.resolutions_,t,0);t=this.resolutions_[e]}return t},r.prototype.getImage=function(t,e,r,n){var i=this.getProjection();if(i&&n&&!Pr(i,n)){if(this.reprojectedImage_){if(this.reprojectedRevision_==this.getRevision()&&Pr(this.reprojectedImage_.getProjection(),n)&&this.reprojectedImage_.getResolution()==e&&he(this.reprojectedImage_.getExtent(),t))return this.reprojectedImage_;this.reprojectedImage_.dispose(),this.reprojectedImage_=null}return this.reprojectedImage_=new tm(i,n,t,e,r,function(t,e,r){return this.getImageInternal(t,e,r,i)}.bind(this),this.getInterpolate()),this.reprojectedRevision_=this.getRevision(),this.reprojectedImage_}return i&&(n=i),this.getImageInternal(t,e,r,n)},r.prototype.getImageInternal=function(t,r,n,i){return e()},r.prototype.handleImageChange=function(t){var e=t.target;switch(e.getState()){case Jn:this.loading=!0,this.dispatchEvent(new om(rm,e));break;case Qn:this.loading=!1,this.dispatchEvent(new om(nm,e));break;case $n:this.loading=!1,this.dispatchEvent(new om(im,e))}},r}(js);function lm(t,e){var r=[];Object.keys(e).forEach((function(t){null!==e[t]&&void 0!==e[t]&&r.push(t+"="+encodeURIComponent(e[t]))}));var n=r.join("&");return(t=-1===(t=t.replace(/[?&]$/,"")).indexOf("?")?t+"?":t+"&")+n}var um="1.3.0",hm="carmentaserver",cm="geoserver",pm="mapserver",fm="qgis",dm=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),gm=[101,101],_m=function(t){function e(e){var r=this,n=e||{},i=void 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s[this.v13_?"I":"X"]=l,s[this.v13_?"J":"Y"]=u,this.getRequestUrl_(a,gm,1,o||i,s)}},e.prototype.getLegendUrl=function(t,e){if(void 0!==this.url_){var r={SERVICE:"WMS",VERSION:um,REQUEST:"GetLegendGraphic",FORMAT:"image/png"};if(void 0===e||void 0===e.LAYER){var n=this.params_.LAYERS;if(!(!Array.isArray(n)||1===n.length))return;r.LAYER=n}if(void 0!==t){var i=this.getProjection()?this.getProjection().getMetersPerUnit():1;r.SCALE=t*i/28e-5}return m(r,e),lm(this.url_,r)}},e.prototype.getParams=function(){return this.params_},e.prototype.getImageInternal=function(t,e,r,n){if(void 0===this.url_)return null;e=this.findNearestResolution(e),1==r||this.hidpi_&&void 0!==this.serverType_||(r=1);var i=e/r,o=me(t),a=we(o,i,0,[Ve(be(t)/i,4),Ve(Se(t)/i,4)]),s=we(o,i,0,[Ve(this.ratio_*be(t)/i,4),Ve(this.ratio_*Se(t)/i,4)]),l=this.image_;if(l&&this.renderedRevision_==this.getRevision()&&l.getResolution()==e&&l.getPixelRatio()==r&&re(l.getExtent(),a))return l;var u={SERVICE:"WMS",VERSION:um,REQUEST:"GetMap",FORMAT:"image/png",TRANSPARENT:!0};m(u,this.params_),this.imageSize_[0]=ze(be(s)/i,4),this.imageSize_[1]=ze(Se(s)/i,4);var h=this.getRequestUrl_(s,this.imageSize_,r,n,u);return this.image_=new fs(s,e,r,h,this.crossOrigin_,this.imageLoadFunction_),this.renderedRevision_=this.getRevision(),this.image_.addEventListener(T,this.handleImageChange.bind(this)),this.image_},e.prototype.getImageLoadFunction=function(){return this.imageLoadFunction_},e.prototype.getRequestUrl_=function(t,e,r,n,i){if(nt(void 0!==this.url_,9),i[this.v13_?"CRS":"SRS"]=n.getCode(),"STYLES"in this.params_||(i.STYLES=""),1!=r)switch(this.serverType_){case cm:var o=90*r+.5|0;"FORMAT_OPTIONS"in i?i.FORMAT_OPTIONS+=";dpi:"+o:i.FORMAT_OPTIONS="dpi:"+o;break;case pm:i.MAP_RESOLUTION=90*r;break;case hm:case fm:i.DPI=90*r;break;default:nt(!1,8)}i.WIDTH=e[0],i.HEIGHT=e[1];var a,s=n.getAxisOrientation();return a=this.v13_&&"ne"==s.substr(0,2)?[t[1],t[0],t[3],t[2]]:t,i.BBOX=a.join(","),lm(this.url_,i)},e.prototype.getUrl=function(){return this.url_},e.prototype.setImageLoadFunction=function(t){this.image_=null,this.imageLoadFunction_=t,this.changed()},e.prototype.setUrl=function(t){t!=this.url_&&(this.url_=t,this.image_=null,this.changed())},e.prototype.updateParams=function(t){m(this.params_,t),this.updateV13_(),this.image_=null,this.changed()},e.prototype.updateV13_=function(){var t=this.params_.VERSION||um;this.v13_=fr(t,"1.3")>=0},e}(sm),ym=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),vm=function(t){function e(e){var r,n=e||{},i=void 0===n.imageSmoothing||n.imageSmoothing;void 0!==n.interpolate&&(i=n.interpolate),r=void 0!==n.attributions?n.attributions:['&#169; <a href="https://www.openstreetmap.org/copyright" target="_blank">OpenStreetMap</a> contributors.'];var o=void 0!==n.crossOrigin?n.crossOrigin:"anonymous",a=void 0!==n.url?n.url:"https://{a-c}.tile.openstreetmap.org/{z}/{x}/{y}.png";return t.call(this,{attributions:r,attributionsCollapsible:!1,cacheSize:n.cacheSize,crossOrigin:o,interpolate:i,maxZoom:void 0!==n.maxZoom?n.maxZoom:19,opaque:void 0===n.opaque||n.opaque,reprojectionErrorThreshold:n.reprojectionErrorThreshold,tileLoadFunction:n.tileLoadFunction,transition:n.transition,url:a,wrapX:n.wrapX,zDirection:n.zDirection})||this}return ym(e,t),e}(Qv),mm=function(){var t=function(e,r){return t=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},t(e,r)};return function(e,r){if("function"!=typeof r&&null!==r)throw new TypeError("Class extends value "+String(r)+" is not a constructor or null");function n(){this.constructor=e}t(e,r),e.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}}(),xm=function(t){function e(e){var r=this,n=e||{},i=void 0===n.imageSmoothing||n.imageSmoothing;void 0!==n.interpolate&&(i=n.interpolate);var o=n.params||{},a=!("TRANSPARENT"in o)||o.TRANSPARENT;return(r=t.call(this,{attributions:n.attributions,attributionsCollapsible:n.attributionsCollapsible,cacheSize:n.cacheSize,crossOrigin:n.crossOrigin,interpolate:i,opaque:!a,projection:n.projection,reprojectionErrorThreshold:n.reprojectionErrorThreshold,tileClass:n.tileClass,tileGrid:n.tileGrid,tileLoadFunction:n.tileLoadFunction,url:n.url,urls:n.urls,wrapX:void 0===n.wrapX||n.wrapX,transition:n.transition,zDirection:n.zDirection})||this).gutter_=void 0!==n.gutter?n.gutter:0,r.params_=o,r.v13_=!0,r.serverType_=n.serverType,r.hidpi_=void 0===n.hidpi||n.hidpi,r.tmpExtent_=[1/0,1/0,-1/0,-1/0],r.updateV13_(),r.setKey(r.getKeyForParams_()),r}return mm(e,t),e.prototype.getFeatureInfoUrl=function(t,e,r,n){var i=Er(r),o=this.getProjection(),a=this.getTileGrid();a||(a=this.getTileGridForProjection(i));var s=a.getZForResolution(e,this.zDirection),l=a.getTileCoordForCoordAndZ(t,s);if(!(a.getResolutions().length<=l[0])){var u=a.getResolution(l[0]),h=a.getTileCoordExtent(l,this.tmpExtent_),c=ii(a.getTileSize(l[0]),this.tmpSize),p=this.gutter_;0!==p&&(c=ei(c,p,this.tmpSize),h=Qt(h,u*p,h)),o&&o!==i&&(u=Ny(o,i,t,u),h=function(t,e,r,n){return Oe(t,Fr(e,r),void 0,n)}(h,i,o),t=Ir(t,i,o));var f={SERVICE:"WMS",VERSION:um,REQUEST:"GetFeatureInfo",FORMAT:"image/png",TRANSPARENT:!0,QUERY_LAYERS:this.params_.LAYERS};m(f,this.params_,n);var d=Math.floor((t[0]-h[0])/u),g=Math.floor((h[3]-t[1])/u);return f[this.v13_?"I":"X"]=d,f[this.v13_?"J":"Y"]=g,this.getRequestUrl_(l,c,h,1,o||i,f)}},e.prototype.getLegendUrl=function(t,e){if(void 0!==this.urls[0]){var r={SERVICE:"WMS",VERSION:um,REQUEST:"GetLegendGraphic",FORMAT:"image/png"};if(void 0===e||void 0===e.LAYER){var n=this.params_.LAYERS;if(!(!Array.isArray(n)||1===n.length))return;r.LAYER=n}if(void 0!==t){var i=this.getProjection()?this.getProjection().getMetersPerUnit():1;r.SCALE=t*i/28e-5}return m(r,e),lm(this.urls[0],r)}},e.prototype.getGutter=function(){return this.gutter_},e.prototype.getParams=function(){return this.params_},e.prototype.getRequestUrl_=function(t,e,r,n,i,o){var a=this.urls;if(a){if(o.WIDTH=e[0],o.HEIGHT=e[1],o[this.v13_?"CRS":"SRS"]=i.getCode(),"STYLES"in this.params_||(o.STYLES=""),1!=n)switch(this.serverType_){case cm:var s=90*n+.5|0;"FORMAT_OPTIONS"in o?o.FORMAT_OPTIONS+=";dpi:"+s:o.FORMAT_OPTIONS="dpi:"+s;break;case pm:o.MAP_RESOLUTION=90*n;break;case hm:case fm:o.DPI=90*n;break;default:nt(!1,52)}var l,u=i.getAxisOrientation(),h=r;if(this.v13_&&"ne"==u.substr(0,2)){var c=void 0;c=r[0],h[0]=r[1],h[1]=c,c=r[2],h[2]=r[3],h[3]=c}if(o.BBOX=h.join(","),1==a.length)l=a[0];else l=a[Ge(up(t),a.length)];return lm(l,o)}},e.prototype.getTilePixelRatio=function(t){return this.hidpi_&&void 0!==this.serverType_?t:1},e.prototype.getKeyForParams_=function(){var t=0,e=[];for(var r in this.params_)e[t++]=r+"-"+this.params_[r];return e.join("/")},e.prototype.updateParams=function(t){m(this.params_,t),this.updateV13_(),this.setKey(this.getKeyForParams_())},e.prototype.updateV13_=function(){var t=this.params_.VERSION||um;this.v13_=fr(t,"1.3")>=0},e.prototype.tileUrlFunction=function(t,e,r){var n=this.getTileGrid();if(n||(n=this.getTileGridForProjection(r)),!(n.getResolutions().length<=t[0])){1==e||this.hidpi_&&void 0!==this.serverType_||(e=1);var i=n.getResolution(t[0]),o=n.getTileCoordExtent(t,this.tmpExtent_),a=ii(n.getTileSize(t[0]),this.tmpSize),s=this.gutter_;0!==s&&(a=ei(a,s,this.tmpSize),o=Qt(o,i*s,o)),1!=e&&(a=ni(a,e,this.tmpSize));var l={SERVICE:"WMS",VERSION:um,REQUEST:"GetMap",FORMAT:"image/png",TRANSPARENT:!0};return m(l,this.params_),this.getRequestUrl_(t,a,o,e,r,l)}},e}(Yy),wm=xm;W.unByKey=X;let Sm={Control:gu,Zoom:Eu,Attribution:mu,ScaleLine:Du,LayerSwitcher:Pp},Cm={GeoJSON:Up,KML:wg,MVT:$g},Em={Group:bl,Tile:Jy,Vector:Ms,VectorTile:cy,WebGLPoints:Kv,Heatmap:U_,Image:q_},Tm={toLonLat:function(t,e){var r=Ir(t,void 0!==e?e:"EPSG:3857","EPSG:4326"),n=r[0];return(n<-180||n>180)&&(r[0]=Ge(n+180,360)-180),r},fromLonLat:function(t,e){return Ir(t,"EPSG:4326",void 0!==e?e:"EPSG:3857")}},bm={LineString:Zn,Point:mn,MultiPoint:tc},Rm={Icon:ms,Style:io,Text:lo,Stroke:Hn,Fill:Un,Circle:Qi},Pm={OSM:vm,XYZ:Qv,TileWMS:wm,BingMaps:qv,Vector:tl,VectorTile:My,ImageWMS:_m};t.Collection=rt,t.Feature=at,t.Map=np,t.Observable=W,t.View=lu,t.control=Sm,t.format=Cm,t.geom=bm,t.interaction=ep,t.layer=Em,t.proj=Tm,t.source=Pm,t.sphere=pr,t.style=Rm,Object.defineProperty(t,"__esModule",{value:!0})}));
+//# sourceMappingURL=ol-custom.js.map
diff --git a/html/ol-custom.js.map b/html/ol-custom.js.map
deleted file mode 100644
index f627df2..0000000
--- a/html/ol-custom.js.map
+++ /dev/null
@@ -1 +0,0 @@
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* @module ol/util\n */\n/**\n * @return {?} Any return.\n */\nexport function abstract() {\n    return /** @type {?} */ ((function () {\n        throw new Error('Unimplemented abstract method.');\n    })());\n}\n/**\n * Counter for getUid.\n * @type {number}\n * @private\n */\nvar uidCounter_ = 0;\n/**\n * Gets a unique ID for an object. This mutates the object so that further calls\n * with the same object as a parameter returns the same value. Unique IDs are generated\n * as a strictly increasing sequence. Adapted from goog.getUid.\n *\n * @param {Object} obj The object to get the unique ID for.\n * @return {string} The unique ID for the object.\n * @api\n */\nexport function getUid(obj) {\n    return obj.ol_uid || (obj.ol_uid = String(++uidCounter_));\n}\n/**\n * OpenLayers version.\n * @type {string}\n */\nexport var VERSION = '6.10.0';\n//# sourceMappingURL=util.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/AssertionError\n */\nimport { VERSION } from './util.js';\n/**\n * Error object thrown when an assertion failed. This is an ECMA-262 Error,\n * extended with a `code` property.\n * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Error.\n */\nvar AssertionError = /** @class */ (function (_super) {\n    __extends(AssertionError, _super);\n    /**\n     * @param {number} code Error code.\n     */\n    function AssertionError(code) {\n        var _this = this;\n        var path = VERSION === 'latest' ? VERSION : 'v' + VERSION.split('-')[0];\n        var message = 'Assertion failed. See https://openlayers.org/en/' +\n            path +\n            '/doc/errors/#' +\n            code +\n            ' for details.';\n        _this = _super.call(this, message) || this;\n        /**\n         * Error code. The meaning of the code can be found on\n         * https://openlayers.org/en/latest/doc/errors/ (replace `latest` with\n         * the version found in the OpenLayers script's header comment if a version\n         * other than the latest is used).\n         * @type {number}\n         * @api\n         */\n        _this.code = code;\n        /**\n         * @type {string}\n         */\n        _this.name = 'AssertionError';\n        // Re-assign message, see https://github.com/Rich-Harris/buble/issues/40\n        _this.message = message;\n        return _this;\n    }\n    return AssertionError;\n}(Error));\nexport default AssertionError;\n//# sourceMappingURL=AssertionError.js.map","/**\n * @module ol/events/Event\n */\n/**\n * @classdesc\n * Stripped down implementation of the W3C DOM Level 2 Event interface.\n * See https://www.w3.org/TR/DOM-Level-2-Events/events.html#Events-interface.\n *\n * This implementation only provides `type` and `target` properties, and\n * `stopPropagation` and `preventDefault` methods. It is meant as base class\n * for higher level events defined in the library, and works with\n * {@link module:ol/events/Target~Target}.\n */\nvar BaseEvent = /** @class */ (function () {\n    /**\n     * @param {string} type Type.\n     */\n    function BaseEvent(type) {\n        /**\n         * @type {boolean}\n         */\n        this.propagationStopped;\n        /**\n         * @type {boolean}\n         */\n        this.defaultPrevented;\n        /**\n         * The event type.\n         * @type {string}\n         * @api\n         */\n        this.type = type;\n        /**\n         * The event target.\n         * @type {Object}\n         * @api\n         */\n        this.target = null;\n    }\n    /**\n     * Prevent default. This means that no emulated `click`, `singleclick` or `doubleclick` events\n     * will be fired.\n     * @api\n     */\n    BaseEvent.prototype.preventDefault = function () {\n        this.defaultPrevented = true;\n    };\n    /**\n     * Stop event propagation.\n     * @api\n     */\n    BaseEvent.prototype.stopPropagation = function () {\n        this.propagationStopped = true;\n    };\n    return BaseEvent;\n}());\n/**\n * @param {Event|import(\"./Event.js\").default} evt Event\n */\nexport function stopPropagation(evt) {\n    evt.stopPropagation();\n}\n/**\n * @param {Event|import(\"./Event.js\").default} evt Event\n */\nexport function preventDefault(evt) {\n    evt.preventDefault();\n}\nexport default BaseEvent;\n//# sourceMappingURL=Event.js.map","/**\n * @module ol/ObjectEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered when a property is changed.\n     * @event module:ol/Object.ObjectEvent#propertychange\n     * @api\n     */\n    PROPERTYCHANGE: 'propertychange',\n};\n/**\n * @typedef {'propertychange'} Types\n */\n//# sourceMappingURL=ObjectEventType.js.map","/**\n * @module ol/Disposable\n */\n/**\n * @classdesc\n * Objects that need to clean up after themselves.\n */\nvar Disposable = /** @class */ (function () {\n    function Disposable() {\n        /**\n         * The object has already been disposed.\n         * @type {boolean}\n         * @protected\n         */\n        this.disposed = false;\n    }\n    /**\n     * Clean up.\n     */\n    Disposable.prototype.dispose = function () {\n        if (!this.disposed) {\n            this.disposed = true;\n            this.disposeInternal();\n        }\n    };\n    /**\n     * Extension point for disposable objects.\n     * @protected\n     */\n    Disposable.prototype.disposeInternal = function () { };\n    return Disposable;\n}());\nexport default Disposable;\n//# sourceMappingURL=Disposable.js.map","/**\n * @module ol/array\n */\n/**\n * Performs a binary search on the provided sorted list and returns the index of the item if found. If it can't be found it'll return -1.\n * https://github.com/darkskyapp/binary-search\n *\n * @param {Array<*>} haystack Items to search through.\n * @param {*} needle The item to look for.\n * @param {Function} [opt_comparator] Comparator function.\n * @return {number} The index of the item if found, -1 if not.\n */\nexport function binarySearch(haystack, needle, opt_comparator) {\n    var mid, cmp;\n    var comparator = opt_comparator || numberSafeCompareFunction;\n    var low = 0;\n    var high = haystack.length;\n    var found = false;\n    while (low < high) {\n        /* Note that \"(low + high) >>> 1\" may overflow, and results in a typecast\n         * to double (which gives the wrong results). */\n        mid = low + ((high - low) >> 1);\n        cmp = +comparator(haystack[mid], needle);\n        if (cmp < 0.0) {\n            /* Too low. */\n            low = mid + 1;\n        }\n        else {\n            /* Key found or too high */\n            high = mid;\n            found = !cmp;\n        }\n    }\n    /* Key not found. */\n    return found ? low : ~low;\n}\n/**\n * Compare function for array sort that is safe for numbers.\n * @param {*} a The first object to be compared.\n * @param {*} b The second object to be compared.\n * @return {number} A negative number, zero, or a positive number as the first\n *     argument is less than, equal to, or greater than the second.\n */\nexport function numberSafeCompareFunction(a, b) {\n    return a > b ? 1 : a < b ? -1 : 0;\n}\n/**\n * Whether the array contains the given object.\n * @param {Array<*>} arr The array to test for the presence of the element.\n * @param {*} obj The object for which to test.\n * @return {boolean} The object is in the array.\n */\nexport function includes(arr, obj) {\n    return arr.indexOf(obj) >= 0;\n}\n/**\n * {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution} can use a function\n * of this type to determine which nearest resolution to use.\n *\n * This function takes a `{number}` representing a value between two array entries,\n * a `{number}` representing the value of the nearest higher entry and\n * a `{number}` representing the value of the nearest lower entry\n * as arguments and returns a `{number}`. If a negative number or zero is returned\n * the lower value will be used, if a positive number is returned the higher value\n * will be used.\n * @typedef {function(number, number, number): number} NearestDirectionFunction\n * @api\n */\n/**\n * @param {Array<number>} arr Array in descending order.\n * @param {number} target Target.\n * @param {number|NearestDirectionFunction} direction\n *    0 means return the nearest,\n *    > 0 means return the largest nearest,\n *    < 0 means return the smallest nearest.\n * @return {number} Index.\n */\nexport function linearFindNearest(arr, target, direction) {\n    var n = arr.length;\n    if (arr[0] <= target) {\n        return 0;\n    }\n    else if (target <= arr[n - 1]) {\n        return n - 1;\n    }\n    else {\n        var i = void 0;\n        if (direction > 0) {\n            for (i = 1; i < n; ++i) {\n                if (arr[i] < target) {\n                    return i - 1;\n                }\n            }\n        }\n        else if (direction < 0) {\n            for (i = 1; i < n; ++i) {\n                if (arr[i] <= target) {\n                    return i;\n                }\n            }\n        }\n        else {\n            for (i = 1; i < n; ++i) {\n                if (arr[i] == target) {\n                    return i;\n                }\n                else if (arr[i] < target) {\n                    if (typeof direction === 'function') {\n                        if (direction(target, arr[i - 1], arr[i]) > 0) {\n                            return i - 1;\n                        }\n                        else {\n                            return i;\n                        }\n                    }\n                    else if (arr[i - 1] - target < target - arr[i]) {\n                        return i - 1;\n                    }\n                    else {\n                        return i;\n                    }\n                }\n            }\n        }\n        return n - 1;\n    }\n}\n/**\n * @param {Array<*>} arr Array.\n * @param {number} begin Begin index.\n * @param {number} end End index.\n */\nexport function reverseSubArray(arr, begin, end) {\n    while (begin < end) {\n        var tmp = arr[begin];\n        arr[begin] = arr[end];\n        arr[end] = tmp;\n        ++begin;\n        --end;\n    }\n}\n/**\n * @param {Array<VALUE>} arr The array to modify.\n * @param {!Array<VALUE>|VALUE} data The elements or arrays of elements to add to arr.\n * @template VALUE\n */\nexport function extend(arr, data) {\n    var extension = Array.isArray(data) ? data : [data];\n    var length = extension.length;\n    for (var i = 0; i < length; i++) {\n        arr[arr.length] = extension[i];\n    }\n}\n/**\n * @param {Array<VALUE>} arr The array to modify.\n * @param {VALUE} obj The element to remove.\n * @template VALUE\n * @return {boolean} If the element was removed.\n */\nexport function remove(arr, obj) {\n    var i = arr.indexOf(obj);\n    var found = i > -1;\n    if (found) {\n        arr.splice(i, 1);\n    }\n    return found;\n}\n/**\n * @param {Array<VALUE>} arr The array to search in.\n * @param {function(VALUE, number, ?) : boolean} func The function to compare.\n * @template VALUE\n * @return {VALUE|null} The element found or null.\n */\nexport function find(arr, func) {\n    var length = arr.length >>> 0;\n    var value;\n    for (var i = 0; i < length; i++) {\n        value = arr[i];\n        if (func(value, i, arr)) {\n            return value;\n        }\n    }\n    return null;\n}\n/**\n * @param {Array|Uint8ClampedArray} arr1 The first array to compare.\n * @param {Array|Uint8ClampedArray} arr2 The second array to compare.\n * @return {boolean} Whether the two arrays are equal.\n */\nexport function equals(arr1, arr2) {\n    var len1 = arr1.length;\n    if (len1 !== arr2.length) {\n        return false;\n    }\n    for (var i = 0; i < len1; i++) {\n        if (arr1[i] !== arr2[i]) {\n            return false;\n        }\n    }\n    return true;\n}\n/**\n * Sort the passed array such that the relative order of equal elements is preserved.\n * See https://en.wikipedia.org/wiki/Sorting_algorithm#Stability for details.\n * @param {Array<*>} arr The array to sort (modifies original).\n * @param {!function(*, *): number} compareFnc Comparison function.\n * @api\n */\nexport function stableSort(arr, compareFnc) {\n    var length = arr.length;\n    var tmp = Array(arr.length);\n    var i;\n    for (i = 0; i < length; i++) {\n        tmp[i] = { index: i, value: arr[i] };\n    }\n    tmp.sort(function (a, b) {\n        return compareFnc(a.value, b.value) || a.index - b.index;\n    });\n    for (i = 0; i < arr.length; i++) {\n        arr[i] = tmp[i].value;\n    }\n}\n/**\n * @param {Array<*>} arr The array to search in.\n * @param {Function} func Comparison function.\n * @return {number} Return index.\n */\nexport function findIndex(arr, func) {\n    var index;\n    var found = !arr.every(function (el, idx) {\n        index = idx;\n        return !func(el, idx, arr);\n    });\n    return found ? index : -1;\n}\n/**\n * @param {Array<*>} arr The array to test.\n * @param {Function} [opt_func] Comparison function.\n * @param {boolean} [opt_strict] Strictly sorted (default false).\n * @return {boolean} Return index.\n */\nexport function isSorted(arr, opt_func, opt_strict) {\n    var compare = opt_func || numberSafeCompareFunction;\n    return arr.every(function (currentVal, index) {\n        if (index === 0) {\n            return true;\n        }\n        var res = compare(arr[index - 1], currentVal);\n        return !(res > 0 || (opt_strict && res === 0));\n    });\n}\n//# sourceMappingURL=array.js.map","/**\n * @module ol/functions\n */\nimport { equals as arrayEquals } from './array.js';\n/**\n * Always returns true.\n * @return {boolean} true.\n */\nexport function TRUE() {\n    return true;\n}\n/**\n * Always returns false.\n * @return {boolean} false.\n */\nexport function FALSE() {\n    return false;\n}\n/**\n * A reusable function, used e.g. as a default for callbacks.\n *\n * @return {void} Nothing.\n */\nexport function VOID() { }\n/**\n * Wrap a function in another function that remembers the last return.  If the\n * returned function is called twice in a row with the same arguments and the same\n * this object, it will return the value from the first call in the second call.\n *\n * @param {function(...any): ReturnType} fn The function to memoize.\n * @return {function(...any): ReturnType} The memoized function.\n * @template ReturnType\n */\nexport function memoizeOne(fn) {\n    var called = false;\n    /** @type {ReturnType} */\n    var lastResult;\n    /** @type {Array<any>} */\n    var lastArgs;\n    var lastThis;\n    return function () {\n        var nextArgs = Array.prototype.slice.call(arguments);\n        if (!called || this !== lastThis || !arrayEquals(nextArgs, lastArgs)) {\n            called = true;\n            lastThis = this;\n            lastArgs = nextArgs;\n            lastResult = fn.apply(this, arguments);\n        }\n        return lastResult;\n    };\n}\n/**\n * @template T\n * @param {function(): (T | Promise<T>)} getter A function that returns a value or a promise for a value.\n * @return {Promise<T>} A promise for the value.\n */\nexport function toPromise(getter) {\n    function promiseGetter() {\n        var value;\n        try {\n            value = getter();\n        }\n        catch (err) {\n            return Promise.reject(err);\n        }\n        if (value instanceof Promise) {\n            return value;\n        }\n        return Promise.resolve(value);\n    }\n    return promiseGetter();\n}\n//# sourceMappingURL=functions.js.map","/**\n * @module ol/obj\n */\n/**\n * Polyfill for Object.assign().  Assigns enumerable and own properties from\n * one or more source objects to a target object.\n * See https://developer.mozilla.org/en/docs/Web/JavaScript/Reference/Global_Objects/Object/assign.\n *\n * @param {!Object} target The target object.\n * @param {...Object} var_sources The source object(s).\n * @return {!Object} The modified target object.\n */\nexport var assign = typeof Object.assign === 'function'\n    ? Object.assign\n    : function (target, var_sources) {\n        if (target === undefined || target === null) {\n            throw new TypeError('Cannot convert undefined or null to object');\n        }\n        var output = Object(target);\n        for (var i = 1, ii = arguments.length; i < ii; ++i) {\n            var source = arguments[i];\n            if (source !== undefined && source !== null) {\n                for (var key in source) {\n                    if (source.hasOwnProperty(key)) {\n                        output[key] = source[key];\n                    }\n                }\n            }\n        }\n        return output;\n    };\n/**\n * Removes all properties from an object.\n * @param {Object} object The object to clear.\n */\nexport function clear(object) {\n    for (var property in object) {\n        delete object[property];\n    }\n}\n/**\n * Polyfill for Object.values().  Get an array of property values from an object.\n * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Object/values\n *\n * @param {!Object<K,V>} object The object from which to get the values.\n * @return {!Array<V>} The property values.\n * @template K,V\n */\nexport var getValues = typeof Object.values === 'function'\n    ? Object.values\n    : function (object) {\n        var values = [];\n        for (var property in object) {\n            values.push(object[property]);\n        }\n        return values;\n    };\n/**\n * Determine if an object has any properties.\n * @param {Object} object The object to check.\n * @return {boolean} The object is empty.\n */\nexport function isEmpty(object) {\n    var property;\n    for (property in object) {\n        return false;\n    }\n    return !property;\n}\n//# sourceMappingURL=obj.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/events/Target\n */\nimport Disposable from '../Disposable.js';\nimport Event from './Event.js';\nimport { VOID } from '../functions.js';\nimport { clear } from '../obj.js';\n/**\n * @typedef {EventTarget|Target} EventTargetLike\n */\n/**\n * @classdesc\n * A simplified implementation of the W3C DOM Level 2 EventTarget interface.\n * See https://www.w3.org/TR/2000/REC-DOM-Level-2-Events-20001113/events.html#Events-EventTarget.\n *\n * There are two important simplifications compared to the specification:\n *\n * 1. The handling of `useCapture` in `addEventListener` and\n *    `removeEventListener`. There is no real capture model.\n * 2. The handling of `stopPropagation` and `preventDefault` on `dispatchEvent`.\n *    There is no event target hierarchy. When a listener calls\n *    `stopPropagation` or `preventDefault` on an event object, it means that no\n *    more listeners after this one will be called. Same as when the listener\n *    returns false.\n */\nvar Target = /** @class */ (function (_super) {\n    __extends(Target, _super);\n    /**\n     * @param {*} [opt_target] Default event target for dispatched events.\n     */\n    function Target(opt_target) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {*}\n         */\n        _this.eventTarget_ = opt_target;\n        /**\n         * @private\n         * @type {Object<string, number>}\n         */\n        _this.pendingRemovals_ = null;\n        /**\n         * @private\n         * @type {Object<string, number>}\n         */\n        _this.dispatching_ = null;\n        /**\n         * @private\n         * @type {Object<string, Array<import(\"../events.js\").Listener>>}\n         */\n        _this.listeners_ = null;\n        return _this;\n    }\n    /**\n     * @param {string} type Type.\n     * @param {import(\"../events.js\").Listener} listener Listener.\n     */\n    Target.prototype.addEventListener = function (type, listener) {\n        if (!type || !listener) {\n            return;\n        }\n        var listeners = this.listeners_ || (this.listeners_ = {});\n        var listenersForType = listeners[type] || (listeners[type] = []);\n        if (listenersForType.indexOf(listener) === -1) {\n            listenersForType.push(listener);\n        }\n    };\n    /**\n     * Dispatches an event and calls all listeners listening for events\n     * of this type. The event parameter can either be a string or an\n     * Object with a `type` property.\n     *\n     * @param {import(\"./Event.js\").default|string} event Event object.\n     * @return {boolean|undefined} `false` if anyone called preventDefault on the\n     *     event object or if any of the listeners returned false.\n     * @api\n     */\n    Target.prototype.dispatchEvent = function (event) {\n        /** @type {import(\"./Event.js\").default|Event} */\n        var evt = typeof event === 'string' ? new Event(event) : event;\n        var type = evt.type;\n        if (!evt.target) {\n            evt.target = this.eventTarget_ || this;\n        }\n        var listeners = this.listeners_ && this.listeners_[type];\n        var propagate;\n        if (listeners) {\n            var dispatching = this.dispatching_ || (this.dispatching_ = {});\n            var pendingRemovals = this.pendingRemovals_ || (this.pendingRemovals_ = {});\n            if (!(type in dispatching)) {\n                dispatching[type] = 0;\n                pendingRemovals[type] = 0;\n            }\n            ++dispatching[type];\n            for (var i = 0, ii = listeners.length; i < ii; ++i) {\n                if ('handleEvent' in listeners[i]) {\n                    propagate = /** @type {import(\"../events.js\").ListenerObject} */ (listeners[i]).handleEvent(evt);\n                }\n                else {\n                    propagate = /** @type {import(\"../events.js\").ListenerFunction} */ (listeners[i]).call(this, evt);\n                }\n                if (propagate === false || evt.propagationStopped) {\n                    propagate = false;\n                    break;\n                }\n            }\n            --dispatching[type];\n            if (dispatching[type] === 0) {\n                var pr = pendingRemovals[type];\n                delete pendingRemovals[type];\n                while (pr--) {\n                    this.removeEventListener(type, VOID);\n                }\n                delete dispatching[type];\n            }\n            return propagate;\n        }\n    };\n    /**\n     * Clean up.\n     */\n    Target.prototype.disposeInternal = function () {\n        this.listeners_ && clear(this.listeners_);\n    };\n    /**\n     * Get the listeners for a specified event type. Listeners are returned in the\n     * order that they will be called in.\n     *\n     * @param {string} type Type.\n     * @return {Array<import(\"../events.js\").Listener>|undefined} Listeners.\n     */\n    Target.prototype.getListeners = function (type) {\n        return (this.listeners_ && this.listeners_[type]) || undefined;\n    };\n    /**\n     * @param {string} [opt_type] Type. If not provided,\n     *     `true` will be returned if this event target has any listeners.\n     * @return {boolean} Has listeners.\n     */\n    Target.prototype.hasListener = function (opt_type) {\n        if (!this.listeners_) {\n            return false;\n        }\n        return opt_type\n            ? opt_type in this.listeners_\n            : Object.keys(this.listeners_).length > 0;\n    };\n    /**\n     * @param {string} type Type.\n     * @param {import(\"../events.js\").Listener} listener Listener.\n     */\n    Target.prototype.removeEventListener = function (type, listener) {\n        var listeners = this.listeners_ && this.listeners_[type];\n        if (listeners) {\n            var index = listeners.indexOf(listener);\n            if (index !== -1) {\n                if (this.pendingRemovals_ && type in this.pendingRemovals_) {\n                    // make listener a no-op, and remove later in #dispatchEvent()\n                    listeners[index] = VOID;\n                    ++this.pendingRemovals_[type];\n                }\n                else {\n                    listeners.splice(index, 1);\n                    if (listeners.length === 0) {\n                        delete this.listeners_[type];\n                    }\n                }\n            }\n        }\n    };\n    return Target;\n}(Disposable));\nexport default Target;\n//# sourceMappingURL=Target.js.map","/**\n * @module ol/events/EventType\n */\n/**\n * @enum {string}\n * @const\n */\nexport default {\n    /**\n     * Generic change event. Triggered when the revision counter is increased.\n     * @event module:ol/events/Event~BaseEvent#change\n     * @api\n     */\n    CHANGE: 'change',\n    /**\n     * Generic error event. Triggered when an error occurs.\n     * @event module:ol/events/Event~BaseEvent#error\n     * @api\n     */\n    ERROR: 'error',\n    BLUR: 'blur',\n    CLEAR: 'clear',\n    CONTEXTMENU: 'contextmenu',\n    CLICK: 'click',\n    DBLCLICK: 'dblclick',\n    DRAGENTER: 'dragenter',\n    DRAGOVER: 'dragover',\n    DROP: 'drop',\n    FOCUS: 'focus',\n    KEYDOWN: 'keydown',\n    KEYPRESS: 'keypress',\n    LOAD: 'load',\n    RESIZE: 'resize',\n    TOUCHMOVE: 'touchmove',\n    WHEEL: 'wheel',\n};\n//# sourceMappingURL=EventType.js.map","/**\n * @module ol/events\n */\nimport { clear } from './obj.js';\n/**\n * Key to use with {@link module:ol/Observable~Observable#unByKey}.\n * @typedef {Object} EventsKey\n * @property {ListenerFunction} listener Listener.\n * @property {import(\"./events/Target.js\").EventTargetLike} target Target.\n * @property {string} type Type.\n * @api\n */\n/**\n * Listener function. This function is called with an event object as argument.\n * When the function returns `false`, event propagation will stop.\n *\n * @typedef {function((Event|import(\"./events/Event.js\").default)): (void|boolean)} ListenerFunction\n * @api\n */\n/**\n * @typedef {Object} ListenerObject\n * @property {ListenerFunction} handleEvent HandleEvent listener function.\n */\n/**\n * @typedef {ListenerFunction|ListenerObject} Listener\n */\n/**\n * Registers an event listener on an event target. Inspired by\n * https://google.github.io/closure-library/api/source/closure/goog/events/events.js.src.html\n *\n * This function efficiently binds a `listener` to a `this` object, and returns\n * a key for use with {@link module:ol/events.unlistenByKey}.\n *\n * @param {import(\"./events/Target.js\").EventTargetLike} target Event target.\n * @param {string} type Event type.\n * @param {ListenerFunction} listener Listener.\n * @param {Object} [opt_this] Object referenced by the `this` keyword in the\n *     listener. Default is the `target`.\n * @param {boolean} [opt_once] If true, add the listener as one-off listener.\n * @return {EventsKey} Unique key for the listener.\n */\nexport function listen(target, type, listener, opt_this, opt_once) {\n    if (opt_this && opt_this !== target) {\n        listener = listener.bind(opt_this);\n    }\n    if (opt_once) {\n        var originalListener_1 = listener;\n        listener = function () {\n            target.removeEventListener(type, listener);\n            originalListener_1.apply(this, arguments);\n        };\n    }\n    var eventsKey = {\n        target: target,\n        type: type,\n        listener: listener,\n    };\n    target.addEventListener(type, listener);\n    return eventsKey;\n}\n/**\n * Registers a one-off event listener on an event target. Inspired by\n * https://google.github.io/closure-library/api/source/closure/goog/events/events.js.src.html\n *\n * This function efficiently binds a `listener` as self-unregistering listener\n * to a `this` object, and returns a key for use with\n * {@link module:ol/events.unlistenByKey} in case the listener needs to be\n * unregistered before it is called.\n *\n * When {@link module:ol/events.listen} is called with the same arguments after this\n * function, the self-unregistering listener will be turned into a permanent\n * listener.\n *\n * @param {import(\"./events/Target.js\").EventTargetLike} target Event target.\n * @param {string} type Event type.\n * @param {ListenerFunction} listener Listener.\n * @param {Object} [opt_this] Object referenced by the `this` keyword in the\n *     listener. Default is the `target`.\n * @return {EventsKey} Key for unlistenByKey.\n */\nexport function listenOnce(target, type, listener, opt_this) {\n    return listen(target, type, listener, opt_this, true);\n}\n/**\n * Unregisters event listeners on an event target. Inspired by\n * https://google.github.io/closure-library/api/source/closure/goog/events/events.js.src.html\n *\n * The argument passed to this function is the key returned from\n * {@link module:ol/events.listen} or {@link module:ol/events.listenOnce}.\n *\n * @param {EventsKey} key The key.\n */\nexport function unlistenByKey(key) {\n    if (key && key.target) {\n        key.target.removeEventListener(key.type, key.listener);\n        clear(key);\n    }\n}\n//# sourceMappingURL=events.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Observable\n */\nimport EventTarget from './events/Target.js';\nimport EventType from './events/EventType.js';\nimport { listen, listenOnce, unlistenByKey } from './events.js';\n/***\n * @template {string} Type\n * @template {Event|import(\"./events/Event.js\").default} EventClass\n * @template Return\n * @typedef {(type: Type, listener: (event: EventClass) => ?) => Return} OnSignature\n */\n/***\n * @template {string} Type\n * @template Return\n * @typedef {(type: Type[], listener: (event: Event|import(\"./events/Event\").default) => ?) => Return extends void ? void : Return[]} CombinedOnSignature\n */\n/**\n * @typedef {'change'|'error'} EventTypes\n */\n/***\n * @template Return\n * @typedef {OnSignature<EventTypes, import(\"./events/Event.js\").default, Return> & CombinedOnSignature<EventTypes, Return>} ObservableOnSignature\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * An event target providing convenient methods for listener registration\n * and unregistration. A generic `change` event is always available through\n * {@link module:ol/Observable~Observable#changed}.\n *\n * @fires import(\"./events/Event.js\").default\n * @api\n */\nvar Observable = /** @class */ (function (_super) {\n    __extends(Observable, _super);\n    function Observable() {\n        var _this = _super.call(this) || this;\n        _this.on =\n            /** @type {ObservableOnSignature<import(\"./events\").EventsKey>} */ (_this.onInternal);\n        _this.once =\n            /** @type {ObservableOnSignature<import(\"./events\").EventsKey>} */ (_this.onceInternal);\n        _this.un = /** @type {ObservableOnSignature<void>} */ (_this.unInternal);\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.revision_ = 0;\n        return _this;\n    }\n    /**\n     * Increases the revision counter and dispatches a 'change' event.\n     * @api\n     */\n    Observable.prototype.changed = function () {\n        ++this.revision_;\n        this.dispatchEvent(EventType.CHANGE);\n    };\n    /**\n     * Get the version number for this object.  Each time the object is modified,\n     * its version number will be incremented.\n     * @return {number} Revision.\n     * @api\n     */\n    Observable.prototype.getRevision = function () {\n        return this.revision_;\n    };\n    /**\n     * @param {string|Array<string>} type Type.\n     * @param {function((Event|import(\"./events/Event\").default)): ?} listener Listener.\n     * @return {import(\"./events.js\").EventsKey|Array<import(\"./events.js\").EventsKey>} Event key.\n     * @protected\n     */\n    Observable.prototype.onInternal = function (type, listener) {\n        if (Array.isArray(type)) {\n            var len = type.length;\n            var keys = new Array(len);\n            for (var i = 0; i < len; ++i) {\n                keys[i] = listen(this, type[i], listener);\n            }\n            return keys;\n        }\n        else {\n            return listen(this, /** @type {string} */ (type), listener);\n        }\n    };\n    /**\n     * @param {string|Array<string>} type Type.\n     * @param {function((Event|import(\"./events/Event\").default)): ?} listener Listener.\n     * @return {import(\"./events.js\").EventsKey|Array<import(\"./events.js\").EventsKey>} Event key.\n     * @protected\n     */\n    Observable.prototype.onceInternal = function (type, listener) {\n        var key;\n        if (Array.isArray(type)) {\n            var len = type.length;\n            key = new Array(len);\n            for (var i = 0; i < len; ++i) {\n                key[i] = listenOnce(this, type[i], listener);\n            }\n        }\n        else {\n            key = listenOnce(this, /** @type {string} */ (type), listener);\n        }\n        /** @type {Object} */ (listener).ol_key = key;\n        return key;\n    };\n    /**\n     * Unlisten for a certain type of event.\n     * @param {string|Array<string>} type Type.\n     * @param {function((Event|import(\"./events/Event\").default)): ?} listener Listener.\n     * @protected\n     */\n    Observable.prototype.unInternal = function (type, listener) {\n        var key = /** @type {Object} */ (listener).ol_key;\n        if (key) {\n            unByKey(key);\n        }\n        else if (Array.isArray(type)) {\n            for (var i = 0, ii = type.length; i < ii; ++i) {\n                this.removeEventListener(type[i], listener);\n            }\n        }\n        else {\n            this.removeEventListener(type, listener);\n        }\n    };\n    return Observable;\n}(EventTarget));\n/**\n * Listen for a certain type of event.\n * @function\n * @param {string|Array<string>} type The event type or array of event types.\n * @param {function((Event|import(\"./events/Event\").default)): ?} listener The listener function.\n * @return {import(\"./events.js\").EventsKey|Array<import(\"./events.js\").EventsKey>} Unique key for the listener. If\n *     called with an array of event types as the first argument, the return\n *     will be an array of keys.\n * @api\n */\nObservable.prototype.on;\n/**\n * Listen once for a certain type of event.\n * @function\n * @param {string|Array<string>} type The event type or array of event types.\n * @param {function((Event|import(\"./events/Event\").default)): ?} listener The listener function.\n * @return {import(\"./events.js\").EventsKey|Array<import(\"./events.js\").EventsKey>} Unique key for the listener. If\n *     called with an array of event types as the first argument, the return\n *     will be an array of keys.\n * @api\n */\nObservable.prototype.once;\n/**\n * Unlisten for a certain type of event.\n * @function\n * @param {string|Array<string>} type The event type or array of event types.\n * @param {function((Event|import(\"./events/Event\").default)): ?} listener The listener function.\n * @api\n */\nObservable.prototype.un;\n/**\n * Removes an event listener using the key returned by `on()` or `once()`.\n * @param {import(\"./events.js\").EventsKey|Array<import(\"./events.js\").EventsKey>} key The key returned by `on()`\n *     or `once()` (or an array of keys).\n * @api\n */\nexport function unByKey(key) {\n    if (Array.isArray(key)) {\n        for (var i = 0, ii = key.length; i < ii; ++i) {\n            unlistenByKey(key[i]);\n        }\n    }\n    else {\n        unlistenByKey(/** @type {import(\"./events.js\").EventsKey} */ (key));\n    }\n}\nexport default Observable;\n//# sourceMappingURL=Observable.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Object\n */\nimport Event from './events/Event.js';\nimport ObjectEventType from './ObjectEventType.js';\nimport Observable from './Observable.js';\nimport { assign, isEmpty } from './obj.js';\nimport { getUid } from './util.js';\n/**\n * @classdesc\n * Events emitted by {@link module:ol/Object~BaseObject} instances are instances of this type.\n */\nvar ObjectEvent = /** @class */ (function (_super) {\n    __extends(ObjectEvent, _super);\n    /**\n     * @param {string} type The event type.\n     * @param {string} key The property name.\n     * @param {*} oldValue The old value for `key`.\n     */\n    function ObjectEvent(type, key, oldValue) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The name of the property whose value is changing.\n         * @type {string}\n         * @api\n         */\n        _this.key = key;\n        /**\n         * The old value. To get the new value use `e.target.get(e.key)` where\n         * `e` is the event object.\n         * @type {*}\n         * @api\n         */\n        _this.oldValue = oldValue;\n        return _this;\n    }\n    return ObjectEvent;\n}(Event));\nexport { ObjectEvent };\n/***\n * @template Return\n * @typedef {import(\"./Observable\").OnSignature<import(\"./Observable\").EventTypes, import(\"./events/Event.js\").default, Return> &\n *    import(\"./Observable\").OnSignature<import(\"./ObjectEventType\").Types, ObjectEvent, Return> &\n *    import(\"./Observable\").CombinedOnSignature<import(\"./Observable\").EventTypes|import(\"./ObjectEventType\").Types, Return>} ObjectOnSignature\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Most non-trivial classes inherit from this.\n *\n * This extends {@link module:ol/Observable} with observable\n * properties, where each property is observable as well as the object as a\n * whole.\n *\n * Classes that inherit from this have pre-defined properties, to which you can\n * add your owns. The pre-defined properties are listed in this documentation as\n * 'Observable Properties', and have their own accessors; for example,\n * {@link module:ol/Map~Map} has a `target` property, accessed with\n * `getTarget()` and changed with `setTarget()`. Not all properties are however\n * settable. There are also general-purpose accessors `get()` and `set()`. For\n * example, `get('target')` is equivalent to `getTarget()`.\n *\n * The `set` accessors trigger a change event, and you can monitor this by\n * registering a listener. For example, {@link module:ol/View~View} has a\n * `center` property, so `view.on('change:center', function(evt) {...});` would\n * call the function whenever the value of the center property changes. Within\n * the function, `evt.target` would be the view, so `evt.target.getCenter()`\n * would return the new center.\n *\n * You can add your own observable properties with\n * `object.set('prop', 'value')`, and retrieve that with `object.get('prop')`.\n * You can listen for changes on that property value with\n * `object.on('change:prop', listener)`. You can get a list of all\n * properties with {@link module:ol/Object~BaseObject#getProperties}.\n *\n * Note that the observable properties are separate from standard JS properties.\n * You can, for example, give your map object a title with\n * `map.title='New title'` and with `map.set('title', 'Another title')`. The\n * first will be a `hasOwnProperty`; the second will appear in\n * `getProperties()`. Only the second is observable.\n *\n * Properties can be deleted by using the unset method. E.g.\n * object.unset('foo').\n *\n * @fires ObjectEvent\n * @api\n */\nvar BaseObject = /** @class */ (function (_super) {\n    __extends(BaseObject, _super);\n    /**\n     * @param {Object<string, *>} [opt_values] An object with key-value pairs.\n     */\n    function BaseObject(opt_values) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {ObjectOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ObjectOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ObjectOnSignature<void>}\n         */\n        _this.un;\n        // Call {@link module:ol/util.getUid} to ensure that the order of objects' ids is\n        // the same as the order in which they were created.  This also helps to\n        // ensure that object properties are always added in the same order, which\n        // helps many JavaScript engines generate faster code.\n        getUid(_this);\n        /**\n         * @private\n         * @type {Object<string, *>}\n         */\n        _this.values_ = null;\n        if (opt_values !== undefined) {\n            _this.setProperties(opt_values);\n        }\n        return _this;\n    }\n    /**\n     * Gets a value.\n     * @param {string} key Key name.\n     * @return {*} Value.\n     * @api\n     */\n    BaseObject.prototype.get = function (key) {\n        var value;\n        if (this.values_ && this.values_.hasOwnProperty(key)) {\n            value = this.values_[key];\n        }\n        return value;\n    };\n    /**\n     * Get a list of object property names.\n     * @return {Array<string>} List of property names.\n     * @api\n     */\n    BaseObject.prototype.getKeys = function () {\n        return (this.values_ && Object.keys(this.values_)) || [];\n    };\n    /**\n     * Get an object of all property names and values.\n     * @return {Object<string, *>} Object.\n     * @api\n     */\n    BaseObject.prototype.getProperties = function () {\n        return (this.values_ && assign({}, this.values_)) || {};\n    };\n    /**\n     * @return {boolean} The object has properties.\n     */\n    BaseObject.prototype.hasProperties = function () {\n        return !!this.values_;\n    };\n    /**\n     * @param {string} key Key name.\n     * @param {*} oldValue Old value.\n     */\n    BaseObject.prototype.notify = function (key, oldValue) {\n        var eventType;\n        eventType = \"change:\" + key;\n        this.dispatchEvent(new ObjectEvent(eventType, key, oldValue));\n        eventType = ObjectEventType.PROPERTYCHANGE;\n        this.dispatchEvent(new ObjectEvent(eventType, key, oldValue));\n    };\n    /**\n     * @param {string} key Key name.\n     * @param {import(\"./events.js\").Listener} listener Listener.\n     */\n    BaseObject.prototype.addChangeListener = function (key, listener) {\n        this.addEventListener(\"change:\" + key, listener);\n    };\n    /**\n     * @param {string} key Key name.\n     * @param {import(\"./events.js\").Listener} listener Listener.\n     */\n    BaseObject.prototype.removeChangeListener = function (key, listener) {\n        this.removeEventListener(\"change:\" + key, listener);\n    };\n    /**\n     * Sets a value.\n     * @param {string} key Key name.\n     * @param {*} value Value.\n     * @param {boolean} [opt_silent] Update without triggering an event.\n     * @api\n     */\n    BaseObject.prototype.set = function (key, value, opt_silent) {\n        var values = this.values_ || (this.values_ = {});\n        if (opt_silent) {\n            values[key] = value;\n        }\n        else {\n            var oldValue = values[key];\n            values[key] = value;\n            if (oldValue !== value) {\n                this.notify(key, oldValue);\n            }\n        }\n    };\n    /**\n     * Sets a collection of key-value pairs.  Note that this changes any existing\n     * properties and adds new ones (it does not remove any existing properties).\n     * @param {Object<string, *>} values Values.\n     * @param {boolean} [opt_silent] Update without triggering an event.\n     * @api\n     */\n    BaseObject.prototype.setProperties = function (values, opt_silent) {\n        for (var key in values) {\n            this.set(key, values[key], opt_silent);\n        }\n    };\n    /**\n     * Apply any properties from another object without triggering events.\n     * @param {BaseObject} source The source object.\n     * @protected\n     */\n    BaseObject.prototype.applyProperties = function (source) {\n        if (!source.values_) {\n            return;\n        }\n        assign(this.values_ || (this.values_ = {}), source.values_);\n    };\n    /**\n     * Unsets a property.\n     * @param {string} key Key name.\n     * @param {boolean} [opt_silent] Unset without triggering an event.\n     * @api\n     */\n    BaseObject.prototype.unset = function (key, opt_silent) {\n        if (this.values_ && key in this.values_) {\n            var oldValue = this.values_[key];\n            delete this.values_[key];\n            if (isEmpty(this.values_)) {\n                this.values_ = null;\n            }\n            if (!opt_silent) {\n                this.notify(key, oldValue);\n            }\n        }\n    };\n    return BaseObject;\n}(Observable));\nexport default BaseObject;\n//# sourceMappingURL=Object.js.map","/**\n * @module ol/CollectionEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered when an item is added to the collection.\n     * @event module:ol/Collection.CollectionEvent#add\n     * @api\n     */\n    ADD: 'add',\n    /**\n     * Triggered when an item is removed from the collection.\n     * @event module:ol/Collection.CollectionEvent#remove\n     * @api\n     */\n    REMOVE: 'remove',\n};\n//# sourceMappingURL=CollectionEventType.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Collection\n */\nimport AssertionError from './AssertionError.js';\nimport BaseObject from './Object.js';\nimport CollectionEventType from './CollectionEventType.js';\nimport Event from './events/Event.js';\n/**\n * @enum {string}\n * @private\n */\nvar Property = {\n    LENGTH: 'length',\n};\n/**\n * @classdesc\n * Events emitted by {@link module:ol/Collection~Collection} instances are instances of this\n * type.\n */\nvar CollectionEvent = /** @class */ (function (_super) {\n    __extends(CollectionEvent, _super);\n    /**\n     * @param {import(\"./CollectionEventType.js\").default} type Type.\n     * @param {*} [opt_element] Element.\n     * @param {number} [opt_index] The index of the added or removed element.\n     */\n    function CollectionEvent(type, opt_element, opt_index) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The element that is added to or removed from the collection.\n         * @type {*}\n         * @api\n         */\n        _this.element = opt_element;\n        /**\n         * The index of the added or removed element.\n         * @type {number}\n         * @api\n         */\n        _this.index = opt_index;\n        return _this;\n    }\n    return CollectionEvent;\n}(Event));\nexport { CollectionEvent };\n/***\n * @template Return\n * @typedef {import(\"./Observable\").OnSignature<import(\"./Observable\").EventTypes, import(\"./events/Event.js\").default, Return> &\n *   import(\"./Observable\").OnSignature<import(\"./ObjectEventType\").Types|'change:length', import(\"./Object\").ObjectEvent, Return> &\n *   import(\"./Observable\").OnSignature<'add'|'remove', CollectionEvent, Return> &\n *   import(\"./Observable\").CombinedOnSignature<import(\"./Observable\").EventTypes|import(\"./ObjectEventType\").Types|\n *     'change:length'|'add'|'remove',Return>} CollectionOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {boolean} [unique=false] Disallow the same item from being added to\n * the collection twice.\n */\n/**\n * @classdesc\n * An expanded version of standard JS Array, adding convenience methods for\n * manipulation. Add and remove changes to the Collection trigger a Collection\n * event. Note that this does not cover changes to the objects _within_ the\n * Collection; they trigger events on the appropriate object, not on the\n * Collection as a whole.\n *\n * @fires CollectionEvent\n *\n * @template T\n * @api\n */\nvar Collection = /** @class */ (function (_super) {\n    __extends(Collection, _super);\n    /**\n     * @param {Array<T>} [opt_array] Array.\n     * @param {Options} [opt_options] Collection options.\n     */\n    function Collection(opt_array, opt_options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {CollectionOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {CollectionOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {CollectionOnSignature<void>}\n         */\n        _this.un;\n        var options = opt_options || {};\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.unique_ = !!options.unique;\n        /**\n         * @private\n         * @type {!Array<T>}\n         */\n        _this.array_ = opt_array ? opt_array : [];\n        if (_this.unique_) {\n            for (var i = 0, ii = _this.array_.length; i < ii; ++i) {\n                _this.assertUnique_(_this.array_[i], i);\n            }\n        }\n        _this.updateLength_();\n        return _this;\n    }\n    /**\n     * Remove all elements from the collection.\n     * @api\n     */\n    Collection.prototype.clear = function () {\n        while (this.getLength() > 0) {\n            this.pop();\n        }\n    };\n    /**\n     * Add elements to the collection.  This pushes each item in the provided array\n     * to the end of the collection.\n     * @param {!Array<T>} arr Array.\n     * @return {Collection<T>} This collection.\n     * @api\n     */\n    Collection.prototype.extend = function (arr) {\n        for (var i = 0, ii = arr.length; i < ii; ++i) {\n            this.push(arr[i]);\n        }\n        return this;\n    };\n    /**\n     * Iterate over each element, calling the provided callback.\n     * @param {function(T, number, Array<T>): *} f The function to call\n     *     for every element. This function takes 3 arguments (the element, the\n     *     index and the array). The return value is ignored.\n     * @api\n     */\n    Collection.prototype.forEach = function (f) {\n        var array = this.array_;\n        for (var i = 0, ii = array.length; i < ii; ++i) {\n            f(array[i], i, array);\n        }\n    };\n    /**\n     * Get a reference to the underlying Array object. Warning: if the array\n     * is mutated, no events will be dispatched by the collection, and the\n     * collection's \"length\" property won't be in sync with the actual length\n     * of the array.\n     * @return {!Array<T>} Array.\n     * @api\n     */\n    Collection.prototype.getArray = function () {\n        return this.array_;\n    };\n    /**\n     * Get the element at the provided index.\n     * @param {number} index Index.\n     * @return {T} Element.\n     * @api\n     */\n    Collection.prototype.item = function (index) {\n        return this.array_[index];\n    };\n    /**\n     * Get the length of this collection.\n     * @return {number} The length of the array.\n     * @observable\n     * @api\n     */\n    Collection.prototype.getLength = function () {\n        return this.get(Property.LENGTH);\n    };\n    /**\n     * Insert an element at the provided index.\n     * @param {number} index Index.\n     * @param {T} elem Element.\n     * @api\n     */\n    Collection.prototype.insertAt = function (index, elem) {\n        if (this.unique_) {\n            this.assertUnique_(elem);\n        }\n        this.array_.splice(index, 0, elem);\n        this.updateLength_();\n        this.dispatchEvent(new CollectionEvent(CollectionEventType.ADD, elem, index));\n    };\n    /**\n     * Remove the last element of the collection and return it.\n     * Return `undefined` if the collection is empty.\n     * @return {T|undefined} Element.\n     * @api\n     */\n    Collection.prototype.pop = function () {\n        return this.removeAt(this.getLength() - 1);\n    };\n    /**\n     * Insert the provided element at the end of the collection.\n     * @param {T} elem Element.\n     * @return {number} New length of the collection.\n     * @api\n     */\n    Collection.prototype.push = function (elem) {\n        if (this.unique_) {\n            this.assertUnique_(elem);\n        }\n        var n = this.getLength();\n        this.insertAt(n, elem);\n        return this.getLength();\n    };\n    /**\n     * Remove the first occurrence of an element from the collection.\n     * @param {T} elem Element.\n     * @return {T|undefined} The removed element or undefined if none found.\n     * @api\n     */\n    Collection.prototype.remove = function (elem) {\n        var arr = this.array_;\n        for (var i = 0, ii = arr.length; i < ii; ++i) {\n            if (arr[i] === elem) {\n                return this.removeAt(i);\n            }\n        }\n        return undefined;\n    };\n    /**\n     * Remove the element at the provided index and return it.\n     * Return `undefined` if the collection does not contain this index.\n     * @param {number} index Index.\n     * @return {T|undefined} Value.\n     * @api\n     */\n    Collection.prototype.removeAt = function (index) {\n        var prev = this.array_[index];\n        this.array_.splice(index, 1);\n        this.updateLength_();\n        this.dispatchEvent(new CollectionEvent(CollectionEventType.REMOVE, prev, index));\n        return prev;\n    };\n    /**\n     * Set the element at the provided index.\n     * @param {number} index Index.\n     * @param {T} elem Element.\n     * @api\n     */\n    Collection.prototype.setAt = function (index, elem) {\n        var n = this.getLength();\n        if (index < n) {\n            if (this.unique_) {\n                this.assertUnique_(elem, index);\n            }\n            var prev = this.array_[index];\n            this.array_[index] = elem;\n            this.dispatchEvent(new CollectionEvent(CollectionEventType.REMOVE, prev, index));\n            this.dispatchEvent(new CollectionEvent(CollectionEventType.ADD, elem, index));\n        }\n        else {\n            for (var j = n; j < index; ++j) {\n                this.insertAt(j, undefined);\n            }\n            this.insertAt(index, elem);\n        }\n    };\n    /**\n     * @private\n     */\n    Collection.prototype.updateLength_ = function () {\n        this.set(Property.LENGTH, this.array_.length);\n    };\n    /**\n     * @private\n     * @param {T} elem Element.\n     * @param {number} [opt_except] Optional index to ignore.\n     */\n    Collection.prototype.assertUnique_ = function (elem, opt_except) {\n        for (var i = 0, ii = this.array_.length; i < ii; ++i) {\n            if (this.array_[i] === elem && i !== opt_except) {\n                throw new AssertionError(58);\n            }\n        }\n    };\n    return Collection;\n}(BaseObject));\nexport default Collection;\n//# sourceMappingURL=Collection.js.map","/**\n * @module ol/asserts\n */\nimport AssertionError from './AssertionError.js';\n/**\n * @param {*} assertion Assertion we expected to be truthy.\n * @param {number} errorCode Error code.\n */\nexport function assert(assertion, errorCode) {\n    if (!assertion) {\n        throw new AssertionError(errorCode);\n    }\n}\n//# sourceMappingURL=asserts.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Feature\n */\nimport BaseObject from './Object.js';\nimport EventType from './events/EventType.js';\nimport { assert } from './asserts.js';\nimport { listen, unlistenByKey } from './events.js';\n/**\n * @typedef {typeof Feature|typeof import(\"./render/Feature.js\").default} FeatureClass\n */\n/**\n * @typedef {Feature<import(\"./geom/Geometry.js\").default>|import(\"./render/Feature.js\").default} FeatureLike\n */\n/***\n * @template Return\n * @typedef {import(\"./Observable\").OnSignature<import(\"./Observable\").EventTypes, import(\"./events/Event.js\").default, Return> &\n *   import(\"./Observable\").OnSignature<import(\"./ObjectEventType\").Types|'change:geometry', import(\"./Object\").ObjectEvent, Return> &\n *   import(\"./Observable\").CombinedOnSignature<import(\"./Observable\").EventTypes|import(\"./ObjectEventType\").Types\n *     |'change:geometry', Return>} FeatureOnSignature\n */\n/***\n * @template Geometry\n * @typedef {Object<string, *> & { geometry?: Geometry }} ObjectWithGeometry\n */\n/**\n * @classdesc\n * A vector object for geographic features with a geometry and other\n * attribute properties, similar to the features in vector file formats like\n * GeoJSON.\n *\n * Features can be styled individually with `setStyle`; otherwise they use the\n * style of their vector layer.\n *\n * Note that attribute properties are set as {@link module:ol/Object} properties on\n * the feature object, so they are observable, and have get/set accessors.\n *\n * Typically, a feature has a single geometry property. You can set the\n * geometry using the `setGeometry` method and get it with `getGeometry`.\n * It is possible to store more than one geometry on a feature using attribute\n * properties. By default, the geometry used for rendering is identified by\n * the property name `geometry`. If you want to use another geometry property\n * for rendering, use the `setGeometryName` method to change the attribute\n * property associated with the geometry for the feature.  For example:\n *\n * ```js\n *\n * import Feature from 'ol/Feature';\n * import Polygon from 'ol/geom/Polygon';\n * import Point from 'ol/geom/Point';\n *\n * var feature = new Feature({\n *   geometry: new Polygon(polyCoords),\n *   labelPoint: new Point(labelCoords),\n *   name: 'My Polygon'\n * });\n *\n * // get the polygon geometry\n * var poly = feature.getGeometry();\n *\n * // Render the feature as a point using the coordinates from labelPoint\n * feature.setGeometryName('labelPoint');\n *\n * // get the point geometry\n * var point = feature.getGeometry();\n * ```\n *\n * @api\n * @template {import(\"./geom/Geometry.js\").default} Geometry\n */\nvar Feature = /** @class */ (function (_super) {\n    __extends(Feature, _super);\n    /**\n     * @param {Geometry|ObjectWithGeometry<Geometry>} [opt_geometryOrProperties]\n     *     You may pass a Geometry object directly, or an object literal containing\n     *     properties. If you pass an object literal, you may include a Geometry\n     *     associated with a `geometry` key.\n     */\n    function Feature(opt_geometryOrProperties) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {FeatureOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {FeatureOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {FeatureOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {number|string|undefined}\n         */\n        _this.id_ = undefined;\n        /**\n         * @type {string}\n         * @private\n         */\n        _this.geometryName_ = 'geometry';\n        /**\n         * User provided style.\n         * @private\n         * @type {import(\"./style/Style.js\").StyleLike}\n         */\n        _this.style_ = null;\n        /**\n         * @private\n         * @type {import(\"./style/Style.js\").StyleFunction|undefined}\n         */\n        _this.styleFunction_ = undefined;\n        /**\n         * @private\n         * @type {?import(\"./events.js\").EventsKey}\n         */\n        _this.geometryChangeKey_ = null;\n        _this.addChangeListener(_this.geometryName_, _this.handleGeometryChanged_);\n        if (opt_geometryOrProperties) {\n            if (typeof (\n            /** @type {?} */ (opt_geometryOrProperties).getSimplifiedGeometry) === 'function') {\n                var geometry = /** @type {Geometry} */ (opt_geometryOrProperties);\n                _this.setGeometry(geometry);\n            }\n            else {\n                /** @type {Object<string, *>} */\n                var properties = opt_geometryOrProperties;\n                _this.setProperties(properties);\n            }\n        }\n        return _this;\n    }\n    /**\n     * Clone this feature. If the original feature has a geometry it\n     * is also cloned. The feature id is not set in the clone.\n     * @return {Feature<Geometry>} The clone.\n     * @api\n     */\n    Feature.prototype.clone = function () {\n        var clone = /** @type {Feature<Geometry>} */ (new Feature(this.hasProperties() ? this.getProperties() : null));\n        clone.setGeometryName(this.getGeometryName());\n        var geometry = this.getGeometry();\n        if (geometry) {\n            clone.setGeometry(/** @type {Geometry} */ (geometry.clone()));\n        }\n        var style = this.getStyle();\n        if (style) {\n            clone.setStyle(style);\n        }\n        return clone;\n    };\n    /**\n     * Get the feature's default geometry.  A feature may have any number of named\n     * geometries.  The \"default\" geometry (the one that is rendered by default) is\n     * set when calling {@link module:ol/Feature~Feature#setGeometry}.\n     * @return {Geometry|undefined} The default geometry for the feature.\n     * @api\n     * @observable\n     */\n    Feature.prototype.getGeometry = function () {\n        return /** @type {Geometry|undefined} */ (this.get(this.geometryName_));\n    };\n    /**\n     * Get the feature identifier.  This is a stable identifier for the feature and\n     * is either set when reading data from a remote source or set explicitly by\n     * calling {@link module:ol/Feature~Feature#setId}.\n     * @return {number|string|undefined} Id.\n     * @api\n     */\n    Feature.prototype.getId = function () {\n        return this.id_;\n    };\n    /**\n     * Get the name of the feature's default geometry.  By default, the default\n     * geometry is named `geometry`.\n     * @return {string} Get the property name associated with the default geometry\n     *     for this feature.\n     * @api\n     */\n    Feature.prototype.getGeometryName = function () {\n        return this.geometryName_;\n    };\n    /**\n     * Get the feature's style. Will return what was provided to the\n     * {@link module:ol/Feature~Feature#setStyle} method.\n     * @return {import(\"./style/Style.js\").StyleLike|undefined} The feature style.\n     * @api\n     */\n    Feature.prototype.getStyle = function () {\n        return this.style_;\n    };\n    /**\n     * Get the feature's style function.\n     * @return {import(\"./style/Style.js\").StyleFunction|undefined} Return a function\n     * representing the current style of this feature.\n     * @api\n     */\n    Feature.prototype.getStyleFunction = function () {\n        return this.styleFunction_;\n    };\n    /**\n     * @private\n     */\n    Feature.prototype.handleGeometryChange_ = function () {\n        this.changed();\n    };\n    /**\n     * @private\n     */\n    Feature.prototype.handleGeometryChanged_ = function () {\n        if (this.geometryChangeKey_) {\n            unlistenByKey(this.geometryChangeKey_);\n            this.geometryChangeKey_ = null;\n        }\n        var geometry = this.getGeometry();\n        if (geometry) {\n            this.geometryChangeKey_ = listen(geometry, EventType.CHANGE, this.handleGeometryChange_, this);\n        }\n        this.changed();\n    };\n    /**\n     * Set the default geometry for the feature.  This will update the property\n     * with the name returned by {@link module:ol/Feature~Feature#getGeometryName}.\n     * @param {Geometry|undefined} geometry The new geometry.\n     * @api\n     * @observable\n     */\n    Feature.prototype.setGeometry = function (geometry) {\n        this.set(this.geometryName_, geometry);\n    };\n    /**\n     * Set the style for the feature to override the layer style.  This can be a\n     * single style object, an array of styles, or a function that takes a\n     * resolution and returns an array of styles. To unset the feature style, call\n     * `setStyle()` without arguments or a falsey value.\n     * @param {import(\"./style/Style.js\").StyleLike} [opt_style] Style for this feature.\n     * @api\n     * @fires module:ol/events/Event~BaseEvent#event:change\n     */\n    Feature.prototype.setStyle = function (opt_style) {\n        this.style_ = opt_style;\n        this.styleFunction_ = !opt_style\n            ? undefined\n            : createStyleFunction(opt_style);\n        this.changed();\n    };\n    /**\n     * Set the feature id.  The feature id is considered stable and may be used when\n     * requesting features or comparing identifiers returned from a remote source.\n     * The feature id can be used with the\n     * {@link module:ol/source/Vector~VectorSource#getFeatureById} method.\n     * @param {number|string|undefined} id The feature id.\n     * @api\n     * @fires module:ol/events/Event~BaseEvent#event:change\n     */\n    Feature.prototype.setId = function (id) {\n        this.id_ = id;\n        this.changed();\n    };\n    /**\n     * Set the property name to be used when getting the feature's default geometry.\n     * When calling {@link module:ol/Feature~Feature#getGeometry}, the value of the property with\n     * this name will be returned.\n     * @param {string} name The property name of the default geometry.\n     * @api\n     */\n    Feature.prototype.setGeometryName = function (name) {\n        this.removeChangeListener(this.geometryName_, this.handleGeometryChanged_);\n        this.geometryName_ = name;\n        this.addChangeListener(this.geometryName_, this.handleGeometryChanged_);\n        this.handleGeometryChanged_();\n    };\n    return Feature;\n}(BaseObject));\n/**\n * Convert the provided object into a feature style function.  Functions passed\n * through unchanged.  Arrays of Style or single style objects wrapped\n * in a new feature style function.\n * @param {!import(\"./style/Style.js\").StyleFunction|!Array<import(\"./style/Style.js\").default>|!import(\"./style/Style.js\").default} obj\n *     A feature style function, a single style, or an array of styles.\n * @return {import(\"./style/Style.js\").StyleFunction} A style function.\n */\nexport function createStyleFunction(obj) {\n    if (typeof obj === 'function') {\n        return obj;\n    }\n    else {\n        /**\n         * @type {Array<import(\"./style/Style.js\").default>}\n         */\n        var styles_1;\n        if (Array.isArray(obj)) {\n            styles_1 = obj;\n        }\n        else {\n            assert(typeof ( /** @type {?} */(obj).getZIndex) === 'function', 41); // Expected an `import(\"./style/Style.js\").Style` or an array of `import(\"./style/Style.js\").Style`\n            var style = /** @type {import(\"./style/Style.js\").default} */ (obj);\n            styles_1 = [style];\n        }\n        return function () {\n            return styles_1;\n        };\n    }\n}\nexport default Feature;\n//# sourceMappingURL=Feature.js.map","/**\n * @module ol/geom/GeometryLayout\n */\n/**\n * The coordinate layout for geometries, indicating whether a 3rd or 4th z ('Z')\n * or measure ('M') coordinate is available. Supported values are `'XY'`,\n * `'XYZ'`, `'XYM'`, `'XYZM'`.\n * @enum {string}\n */\nexport default {\n    XY: 'XY',\n    XYZ: 'XYZ',\n    XYM: 'XYM',\n    XYZM: 'XYZM',\n};\n//# sourceMappingURL=GeometryLayout.js.map","/**\n * @module ol/geom/GeometryType\n */\n/**\n * The geometry type. One of `'Point'`, `'LineString'`, `'LinearRing'`,\n * `'Polygon'`, `'MultiPoint'`, `'MultiLineString'`, `'MultiPolygon'`,\n * `'GeometryCollection'`, `'Circle'`.\n * @enum {string}\n */\nexport default {\n    POINT: 'Point',\n    LINE_STRING: 'LineString',\n    LINEAR_RING: 'LinearRing',\n    POLYGON: 'Polygon',\n    MULTI_POINT: 'MultiPoint',\n    MULTI_LINE_STRING: 'MultiLineString',\n    MULTI_POLYGON: 'MultiPolygon',\n    GEOMETRY_COLLECTION: 'GeometryCollection',\n    CIRCLE: 'Circle',\n};\n//# sourceMappingURL=GeometryType.js.map","/**\n * @module ol/proj/Units\n */\n/**\n * Projection units: `'degrees'`, `'ft'`, `'m'`, `'pixels'`, `'tile-pixels'` or\n * `'us-ft'`.\n * @enum {string}\n */\nvar Units = {\n    /**\n     * Radians\n     * @api\n     */\n    RADIANS: 'radians',\n    /**\n     * Degrees\n     * @api\n     */\n    DEGREES: 'degrees',\n    /**\n     * Feet\n     * @api\n     */\n    FEET: 'ft',\n    /**\n     * Meters\n     * @api\n     */\n    METERS: 'm',\n    /**\n     * Pixels\n     * @api\n     */\n    PIXELS: 'pixels',\n    /**\n     * Tile Pixels\n     * @api\n     */\n    TILE_PIXELS: 'tile-pixels',\n    /**\n     * US Feet\n     * @api\n     */\n    USFEET: 'us-ft',\n};\n/**\n * See http://duff.ess.washington.edu/data/raster/drg/docs/geotiff.txt\n * @type {Object<number, Units>}\n */\nvar unitByCode = {\n    '9001': Units.METERS,\n    '9002': Units.FEET,\n    '9003': Units.USFEET,\n    '9101': Units.RADIANS,\n    '9102': Units.DEGREES,\n};\n/**\n * @param {number} code Unit code.\n * @return {Units} Units.\n */\nexport function fromCode(code) {\n    return unitByCode[code];\n}\n/**\n * Meters per unit lookup table.\n * @const\n * @type {Object<Units, number>}\n * @api\n */\nexport var METERS_PER_UNIT = {};\n// use the radius of the Normal sphere\nMETERS_PER_UNIT[Units.RADIANS] = 6370997 / (2 * Math.PI);\nMETERS_PER_UNIT[Units.DEGREES] = (2 * Math.PI * 6370997) / 360;\nMETERS_PER_UNIT[Units.FEET] = 0.3048;\nMETERS_PER_UNIT[Units.METERS] = 1;\nMETERS_PER_UNIT[Units.USFEET] = 1200 / 3937;\nexport default Units;\n//# sourceMappingURL=Units.js.map","/**\n * @module ol/has\n */\nvar ua = typeof navigator !== 'undefined' && typeof navigator.userAgent !== 'undefined'\n    ? navigator.userAgent.toLowerCase()\n    : '';\n/**\n * User agent string says we are dealing with Firefox as browser.\n * @type {boolean}\n */\nexport var FIREFOX = ua.indexOf('firefox') !== -1;\n/**\n * User agent string says we are dealing with Safari as browser.\n * @type {boolean}\n */\nexport var SAFARI = ua.indexOf('safari') !== -1 && ua.indexOf('chrom') == -1;\n/**\n * User agent string says we are dealing with a WebKit engine.\n * @type {boolean}\n */\nexport var WEBKIT = ua.indexOf('webkit') !== -1 && ua.indexOf('edge') == -1;\n/**\n * User agent string says we are dealing with a Mac as platform.\n * @type {boolean}\n */\nexport var MAC = ua.indexOf('macintosh') !== -1;\n/**\n * The ratio between physical pixels and device-independent pixels\n * (dips) on the device (`window.devicePixelRatio`).\n * @const\n * @type {number}\n * @api\n */\nexport var DEVICE_PIXEL_RATIO = typeof devicePixelRatio !== 'undefined' ? devicePixelRatio : 1;\n/**\n * The execution context is a worker with OffscreenCanvas available.\n * @const\n * @type {boolean}\n */\nexport var WORKER_OFFSCREEN_CANVAS = typeof WorkerGlobalScope !== 'undefined' &&\n    typeof OffscreenCanvas !== 'undefined' &&\n    self instanceof WorkerGlobalScope; //eslint-disable-line\n/**\n * Image.prototype.decode() is supported.\n * @type {boolean}\n */\nexport var IMAGE_DECODE = typeof Image !== 'undefined' && Image.prototype.decode;\n/**\n * @type {boolean}\n */\nexport var PASSIVE_EVENT_LISTENERS = (function () {\n    var passive = false;\n    try {\n        var options = Object.defineProperty({}, 'passive', {\n            get: function () {\n                passive = true;\n            },\n        });\n        window.addEventListener('_', null, options);\n        window.removeEventListener('_', null, options);\n    }\n    catch (error) {\n        // passive not supported\n    }\n    return passive;\n})();\n//# sourceMappingURL=has.js.map","/**\n * @module ol/transform\n */\nimport { WORKER_OFFSCREEN_CANVAS } from './has.js';\nimport { assert } from './asserts.js';\n/**\n * An array representing an affine 2d transformation for use with\n * {@link module:ol/transform} functions. The array has 6 elements.\n * @typedef {!Array<number>} Transform\n * @api\n */\n/**\n * Collection of affine 2d transformation functions. The functions work on an\n * array of 6 elements. The element order is compatible with the [SVGMatrix\n * interface](https://developer.mozilla.org/en-US/docs/Web/API/SVGMatrix) and is\n * a subset (elements a to f) of a 3×3 matrix:\n * ```\n * [ a c e ]\n * [ b d f ]\n * [ 0 0 1 ]\n * ```\n */\n/**\n * @private\n * @type {Transform}\n */\nvar tmp_ = new Array(6);\n/**\n * Create an identity transform.\n * @return {!Transform} Identity transform.\n */\nexport function create() {\n    return [1, 0, 0, 1, 0, 0];\n}\n/**\n * Resets the given transform to an identity transform.\n * @param {!Transform} transform Transform.\n * @return {!Transform} Transform.\n */\nexport function reset(transform) {\n    return set(transform, 1, 0, 0, 1, 0, 0);\n}\n/**\n * Multiply the underlying matrices of two transforms and return the result in\n * the first transform.\n * @param {!Transform} transform1 Transform parameters of matrix 1.\n * @param {!Transform} transform2 Transform parameters of matrix 2.\n * @return {!Transform} transform1 multiplied with transform2.\n */\nexport function multiply(transform1, transform2) {\n    var a1 = transform1[0];\n    var b1 = transform1[1];\n    var c1 = transform1[2];\n    var d1 = transform1[3];\n    var e1 = transform1[4];\n    var f1 = transform1[5];\n    var a2 = transform2[0];\n    var b2 = transform2[1];\n    var c2 = transform2[2];\n    var d2 = transform2[3];\n    var e2 = transform2[4];\n    var f2 = transform2[5];\n    transform1[0] = a1 * a2 + c1 * b2;\n    transform1[1] = b1 * a2 + d1 * b2;\n    transform1[2] = a1 * c2 + c1 * d2;\n    transform1[3] = b1 * c2 + d1 * d2;\n    transform1[4] = a1 * e2 + c1 * f2 + e1;\n    transform1[5] = b1 * e2 + d1 * f2 + f1;\n    return transform1;\n}\n/**\n * Set the transform components a-f on a given transform.\n * @param {!Transform} transform Transform.\n * @param {number} a The a component of the transform.\n * @param {number} b The b component of the transform.\n * @param {number} c The c component of the transform.\n * @param {number} d The d component of the transform.\n * @param {number} e The e component of the transform.\n * @param {number} f The f component of the transform.\n * @return {!Transform} Matrix with transform applied.\n */\nexport function set(transform, a, b, c, d, e, f) {\n    transform[0] = a;\n    transform[1] = b;\n    transform[2] = c;\n    transform[3] = d;\n    transform[4] = e;\n    transform[5] = f;\n    return transform;\n}\n/**\n * Set transform on one matrix from another matrix.\n * @param {!Transform} transform1 Matrix to set transform to.\n * @param {!Transform} transform2 Matrix to set transform from.\n * @return {!Transform} transform1 with transform from transform2 applied.\n */\nexport function setFromArray(transform1, transform2) {\n    transform1[0] = transform2[0];\n    transform1[1] = transform2[1];\n    transform1[2] = transform2[2];\n    transform1[3] = transform2[3];\n    transform1[4] = transform2[4];\n    transform1[5] = transform2[5];\n    return transform1;\n}\n/**\n * Transforms the given coordinate with the given transform returning the\n * resulting, transformed coordinate. The coordinate will be modified in-place.\n *\n * @param {Transform} transform The transformation.\n * @param {import(\"./coordinate.js\").Coordinate|import(\"./pixel.js\").Pixel} coordinate The coordinate to transform.\n * @return {import(\"./coordinate.js\").Coordinate|import(\"./pixel.js\").Pixel} return coordinate so that operations can be\n *     chained together.\n */\nexport function apply(transform, coordinate) {\n    var x = coordinate[0];\n    var y = coordinate[1];\n    coordinate[0] = transform[0] * x + transform[2] * y + transform[4];\n    coordinate[1] = transform[1] * x + transform[3] * y + transform[5];\n    return coordinate;\n}\n/**\n * Applies rotation to the given transform.\n * @param {!Transform} transform Transform.\n * @param {number} angle Angle in radians.\n * @return {!Transform} The rotated transform.\n */\nexport function rotate(transform, angle) {\n    var cos = Math.cos(angle);\n    var sin = Math.sin(angle);\n    return multiply(transform, set(tmp_, cos, sin, -sin, cos, 0, 0));\n}\n/**\n * Applies scale to a given transform.\n * @param {!Transform} transform Transform.\n * @param {number} x Scale factor x.\n * @param {number} y Scale factor y.\n * @return {!Transform} The scaled transform.\n */\nexport function scale(transform, x, y) {\n    return multiply(transform, set(tmp_, x, 0, 0, y, 0, 0));\n}\n/**\n * Creates a scale transform.\n * @param {!Transform} target Transform to overwrite.\n * @param {number} x Scale factor x.\n * @param {number} y Scale factor y.\n * @return {!Transform} The scale transform.\n */\nexport function makeScale(target, x, y) {\n    return set(target, x, 0, 0, y, 0, 0);\n}\n/**\n * Applies translation to the given transform.\n * @param {!Transform} transform Transform.\n * @param {number} dx Translation x.\n * @param {number} dy Translation y.\n * @return {!Transform} The translated transform.\n */\nexport function translate(transform, dx, dy) {\n    return multiply(transform, set(tmp_, 1, 0, 0, 1, dx, dy));\n}\n/**\n * Creates a composite transform given an initial translation, scale, rotation, and\n * final translation (in that order only, not commutative).\n * @param {!Transform} transform The transform (will be modified in place).\n * @param {number} dx1 Initial translation x.\n * @param {number} dy1 Initial translation y.\n * @param {number} sx Scale factor x.\n * @param {number} sy Scale factor y.\n * @param {number} angle Rotation (in counter-clockwise radians).\n * @param {number} dx2 Final translation x.\n * @param {number} dy2 Final translation y.\n * @return {!Transform} The composite transform.\n */\nexport function compose(transform, dx1, dy1, sx, sy, angle, dx2, dy2) {\n    var sin = Math.sin(angle);\n    var cos = Math.cos(angle);\n    transform[0] = sx * cos;\n    transform[1] = sy * sin;\n    transform[2] = -sx * sin;\n    transform[3] = sy * cos;\n    transform[4] = dx2 * sx * cos - dy2 * sx * sin + dx1;\n    transform[5] = dx2 * sy * sin + dy2 * sy * cos + dy1;\n    return transform;\n}\n/**\n * Creates a composite transform given an initial translation, scale, rotation, and\n * final translation (in that order only, not commutative). The resulting transform\n * string can be applied as `transform` property of an HTMLElement's style.\n * @param {number} dx1 Initial translation x.\n * @param {number} dy1 Initial translation y.\n * @param {number} sx Scale factor x.\n * @param {number} sy Scale factor y.\n * @param {number} angle Rotation (in counter-clockwise radians).\n * @param {number} dx2 Final translation x.\n * @param {number} dy2 Final translation y.\n * @return {string} The composite css transform.\n * @api\n */\nexport function composeCssTransform(dx1, dy1, sx, sy, angle, dx2, dy2) {\n    return toString(compose(create(), dx1, dy1, sx, sy, angle, dx2, dy2));\n}\n/**\n * Invert the given transform.\n * @param {!Transform} source The source transform to invert.\n * @return {!Transform} The inverted (source) transform.\n */\nexport function invert(source) {\n    return makeInverse(source, source);\n}\n/**\n * Invert the given transform.\n * @param {!Transform} target Transform to be set as the inverse of\n *     the source transform.\n * @param {!Transform} source The source transform to invert.\n * @return {!Transform} The inverted (target) transform.\n */\nexport function makeInverse(target, source) {\n    var det = determinant(source);\n    assert(det !== 0, 32); // Transformation matrix cannot be inverted\n    var a = source[0];\n    var b = source[1];\n    var c = source[2];\n    var d = source[3];\n    var e = source[4];\n    var f = source[5];\n    target[0] = d / det;\n    target[1] = -b / det;\n    target[2] = -c / det;\n    target[3] = a / det;\n    target[4] = (c * f - d * e) / det;\n    target[5] = -(a * f - b * e) / det;\n    return target;\n}\n/**\n * Returns the determinant of the given matrix.\n * @param {!Transform} mat Matrix.\n * @return {number} Determinant.\n */\nexport function determinant(mat) {\n    return mat[0] * mat[3] - mat[1] * mat[2];\n}\n/**\n * @type {HTMLElement}\n * @private\n */\nvar transformStringDiv;\n/**\n * A rounded string version of the transform.  This can be used\n * for CSS transforms.\n * @param {!Transform} mat Matrix.\n * @return {string} The transform as a string.\n */\nexport function toString(mat) {\n    var transformString = 'matrix(' + mat.join(', ') + ')';\n    if (WORKER_OFFSCREEN_CANVAS) {\n        return transformString;\n    }\n    var node = transformStringDiv || (transformStringDiv = document.createElement('div'));\n    node.style.transform = transformString;\n    return node.style.transform;\n}\n//# sourceMappingURL=transform.js.map","/**\n * @module ol/extent/Corner\n */\n/**\n * Extent corner.\n * @enum {string}\n */\nexport default {\n    BOTTOM_LEFT: 'bottom-left',\n    BOTTOM_RIGHT: 'bottom-right',\n    TOP_LEFT: 'top-left',\n    TOP_RIGHT: 'top-right',\n};\n//# sourceMappingURL=Corner.js.map","/**\n * @module ol/extent/Relationship\n */\n/**\n * Relationship to an extent.\n * @enum {number}\n */\nexport default {\n    UNKNOWN: 0,\n    INTERSECTING: 1,\n    ABOVE: 2,\n    RIGHT: 4,\n    BELOW: 8,\n    LEFT: 16,\n};\n//# sourceMappingURL=Relationship.js.map","/**\n * @module ol/extent\n */\nimport Corner from './extent/Corner.js';\nimport Relationship from './extent/Relationship.js';\nimport { assert } from './asserts.js';\n/**\n * An array of numbers representing an extent: `[minx, miny, maxx, maxy]`.\n * @typedef {Array<number>} Extent\n * @api\n */\n/**\n * Build an extent that includes all given coordinates.\n *\n * @param {Array<import(\"./coordinate.js\").Coordinate>} coordinates Coordinates.\n * @return {Extent} Bounding extent.\n * @api\n */\nexport function boundingExtent(coordinates) {\n    var extent = createEmpty();\n    for (var i = 0, ii = coordinates.length; i < ii; ++i) {\n        extendCoordinate(extent, coordinates[i]);\n    }\n    return extent;\n}\n/**\n * @param {Array<number>} xs Xs.\n * @param {Array<number>} ys Ys.\n * @param {Extent} [opt_extent] Destination extent.\n * @private\n * @return {Extent} Extent.\n */\nfunction _boundingExtentXYs(xs, ys, opt_extent) {\n    var minX = Math.min.apply(null, xs);\n    var minY = Math.min.apply(null, ys);\n    var maxX = Math.max.apply(null, xs);\n    var maxY = Math.max.apply(null, ys);\n    return createOrUpdate(minX, minY, maxX, maxY, opt_extent);\n}\n/**\n * Return extent increased by the provided value.\n * @param {Extent} extent Extent.\n * @param {number} value The amount by which the extent should be buffered.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n * @api\n */\nexport function buffer(extent, value, opt_extent) {\n    if (opt_extent) {\n        opt_extent[0] = extent[0] - value;\n        opt_extent[1] = extent[1] - value;\n        opt_extent[2] = extent[2] + value;\n        opt_extent[3] = extent[3] + value;\n        return opt_extent;\n    }\n    else {\n        return [\n            extent[0] - value,\n            extent[1] - value,\n            extent[2] + value,\n            extent[3] + value,\n        ];\n    }\n}\n/**\n * Creates a clone of an extent.\n *\n * @param {Extent} extent Extent to clone.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} The clone.\n */\nexport function clone(extent, opt_extent) {\n    if (opt_extent) {\n        opt_extent[0] = extent[0];\n        opt_extent[1] = extent[1];\n        opt_extent[2] = extent[2];\n        opt_extent[3] = extent[3];\n        return opt_extent;\n    }\n    else {\n        return extent.slice();\n    }\n}\n/**\n * @param {Extent} extent Extent.\n * @param {number} x X.\n * @param {number} y Y.\n * @return {number} Closest squared distance.\n */\nexport function closestSquaredDistanceXY(extent, x, y) {\n    var dx, dy;\n    if (x < extent[0]) {\n        dx = extent[0] - x;\n    }\n    else if (extent[2] < x) {\n        dx = x - extent[2];\n    }\n    else {\n        dx = 0;\n    }\n    if (y < extent[1]) {\n        dy = extent[1] - y;\n    }\n    else if (extent[3] < y) {\n        dy = y - extent[3];\n    }\n    else {\n        dy = 0;\n    }\n    return dx * dx + dy * dy;\n}\n/**\n * Check if the passed coordinate is contained or on the edge of the extent.\n *\n * @param {Extent} extent Extent.\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n * @return {boolean} The coordinate is contained in the extent.\n * @api\n */\nexport function containsCoordinate(extent, coordinate) {\n    return containsXY(extent, coordinate[0], coordinate[1]);\n}\n/**\n * Check if one extent contains another.\n *\n * An extent is deemed contained if it lies completely within the other extent,\n * including if they share one or more edges.\n *\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @return {boolean} The second extent is contained by or on the edge of the\n *     first.\n * @api\n */\nexport function containsExtent(extent1, extent2) {\n    return (extent1[0] <= extent2[0] &&\n        extent2[2] <= extent1[2] &&\n        extent1[1] <= extent2[1] &&\n        extent2[3] <= extent1[3]);\n}\n/**\n * Check if the passed coordinate is contained or on the edge of the extent.\n *\n * @param {Extent} extent Extent.\n * @param {number} x X coordinate.\n * @param {number} y Y coordinate.\n * @return {boolean} The x, y values are contained in the extent.\n * @api\n */\nexport function containsXY(extent, x, y) {\n    return extent[0] <= x && x <= extent[2] && extent[1] <= y && y <= extent[3];\n}\n/**\n * Get the relationship between a coordinate and extent.\n * @param {Extent} extent The extent.\n * @param {import(\"./coordinate.js\").Coordinate} coordinate The coordinate.\n * @return {import(\"./extent/Relationship.js\").default} The relationship (bitwise compare with\n *     import(\"./extent/Relationship.js\").Relationship).\n */\nexport function coordinateRelationship(extent, coordinate) {\n    var minX = extent[0];\n    var minY = extent[1];\n    var maxX = extent[2];\n    var maxY = extent[3];\n    var x = coordinate[0];\n    var y = coordinate[1];\n    var relationship = Relationship.UNKNOWN;\n    if (x < minX) {\n        relationship = relationship | Relationship.LEFT;\n    }\n    else if (x > maxX) {\n        relationship = relationship | Relationship.RIGHT;\n    }\n    if (y < minY) {\n        relationship = relationship | Relationship.BELOW;\n    }\n    else if (y > maxY) {\n        relationship = relationship | Relationship.ABOVE;\n    }\n    if (relationship === Relationship.UNKNOWN) {\n        relationship = Relationship.INTERSECTING;\n    }\n    return relationship;\n}\n/**\n * Create an empty extent.\n * @return {Extent} Empty extent.\n * @api\n */\nexport function createEmpty() {\n    return [Infinity, Infinity, -Infinity, -Infinity];\n}\n/**\n * Create a new extent or update the provided extent.\n * @param {number} minX Minimum X.\n * @param {number} minY Minimum Y.\n * @param {number} maxX Maximum X.\n * @param {number} maxY Maximum Y.\n * @param {Extent} [opt_extent] Destination extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdate(minX, minY, maxX, maxY, opt_extent) {\n    if (opt_extent) {\n        opt_extent[0] = minX;\n        opt_extent[1] = minY;\n        opt_extent[2] = maxX;\n        opt_extent[3] = maxY;\n        return opt_extent;\n    }\n    else {\n        return [minX, minY, maxX, maxY];\n    }\n}\n/**\n * Create a new empty extent or make the provided one empty.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdateEmpty(opt_extent) {\n    return createOrUpdate(Infinity, Infinity, -Infinity, -Infinity, opt_extent);\n}\n/**\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdateFromCoordinate(coordinate, opt_extent) {\n    var x = coordinate[0];\n    var y = coordinate[1];\n    return createOrUpdate(x, y, x, y, opt_extent);\n}\n/**\n * @param {Array<import(\"./coordinate.js\").Coordinate>} coordinates Coordinates.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdateFromCoordinates(coordinates, opt_extent) {\n    var extent = createOrUpdateEmpty(opt_extent);\n    return extendCoordinates(extent, coordinates);\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdateFromFlatCoordinates(flatCoordinates, offset, end, stride, opt_extent) {\n    var extent = createOrUpdateEmpty(opt_extent);\n    return extendFlatCoordinates(extent, flatCoordinates, offset, end, stride);\n}\n/**\n * @param {Array<Array<import(\"./coordinate.js\").Coordinate>>} rings Rings.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function createOrUpdateFromRings(rings, opt_extent) {\n    var extent = createOrUpdateEmpty(opt_extent);\n    return extendRings(extent, rings);\n}\n/**\n * Determine if two extents are equivalent.\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @return {boolean} The two extents are equivalent.\n * @api\n */\nexport function equals(extent1, extent2) {\n    return (extent1[0] == extent2[0] &&\n        extent1[2] == extent2[2] &&\n        extent1[1] == extent2[1] &&\n        extent1[3] == extent2[3]);\n}\n/**\n * Determine if two extents are approximately equivalent.\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @param {number} tolerance Tolerance in extent coordinate units.\n * @return {boolean} The two extents differ by less than the tolerance.\n */\nexport function approximatelyEquals(extent1, extent2, tolerance) {\n    return (Math.abs(extent1[0] - extent2[0]) < tolerance &&\n        Math.abs(extent1[2] - extent2[2]) < tolerance &&\n        Math.abs(extent1[1] - extent2[1]) < tolerance &&\n        Math.abs(extent1[3] - extent2[3]) < tolerance);\n}\n/**\n * Modify an extent to include another extent.\n * @param {Extent} extent1 The extent to be modified.\n * @param {Extent} extent2 The extent that will be included in the first.\n * @return {Extent} A reference to the first (extended) extent.\n * @api\n */\nexport function extend(extent1, extent2) {\n    if (extent2[0] < extent1[0]) {\n        extent1[0] = extent2[0];\n    }\n    if (extent2[2] > extent1[2]) {\n        extent1[2] = extent2[2];\n    }\n    if (extent2[1] < extent1[1]) {\n        extent1[1] = extent2[1];\n    }\n    if (extent2[3] > extent1[3]) {\n        extent1[3] = extent2[3];\n    }\n    return extent1;\n}\n/**\n * @param {Extent} extent Extent.\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n */\nexport function extendCoordinate(extent, coordinate) {\n    if (coordinate[0] < extent[0]) {\n        extent[0] = coordinate[0];\n    }\n    if (coordinate[0] > extent[2]) {\n        extent[2] = coordinate[0];\n    }\n    if (coordinate[1] < extent[1]) {\n        extent[1] = coordinate[1];\n    }\n    if (coordinate[1] > extent[3]) {\n        extent[3] = coordinate[1];\n    }\n}\n/**\n * @param {Extent} extent Extent.\n * @param {Array<import(\"./coordinate.js\").Coordinate>} coordinates Coordinates.\n * @return {Extent} Extent.\n */\nexport function extendCoordinates(extent, coordinates) {\n    for (var i = 0, ii = coordinates.length; i < ii; ++i) {\n        extendCoordinate(extent, coordinates[i]);\n    }\n    return extent;\n}\n/**\n * @param {Extent} extent Extent.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {Extent} Extent.\n */\nexport function extendFlatCoordinates(extent, flatCoordinates, offset, end, stride) {\n    for (; offset < end; offset += stride) {\n        extendXY(extent, flatCoordinates[offset], flatCoordinates[offset + 1]);\n    }\n    return extent;\n}\n/**\n * @param {Extent} extent Extent.\n * @param {Array<Array<import(\"./coordinate.js\").Coordinate>>} rings Rings.\n * @return {Extent} Extent.\n */\nexport function extendRings(extent, rings) {\n    for (var i = 0, ii = rings.length; i < ii; ++i) {\n        extendCoordinates(extent, rings[i]);\n    }\n    return extent;\n}\n/**\n * @param {Extent} extent Extent.\n * @param {number} x X.\n * @param {number} y Y.\n */\nexport function extendXY(extent, x, y) {\n    extent[0] = Math.min(extent[0], x);\n    extent[1] = Math.min(extent[1], y);\n    extent[2] = Math.max(extent[2], x);\n    extent[3] = Math.max(extent[3], y);\n}\n/**\n * This function calls `callback` for each corner of the extent. If the\n * callback returns a truthy value the function returns that value\n * immediately. Otherwise the function returns `false`.\n * @param {Extent} extent Extent.\n * @param {function(import(\"./coordinate.js\").Coordinate): S} callback Callback.\n * @return {S|boolean} Value.\n * @template S\n */\nexport function forEachCorner(extent, callback) {\n    var val;\n    val = callback(getBottomLeft(extent));\n    if (val) {\n        return val;\n    }\n    val = callback(getBottomRight(extent));\n    if (val) {\n        return val;\n    }\n    val = callback(getTopRight(extent));\n    if (val) {\n        return val;\n    }\n    val = callback(getTopLeft(extent));\n    if (val) {\n        return val;\n    }\n    return false;\n}\n/**\n * Get the size of an extent.\n * @param {Extent} extent Extent.\n * @return {number} Area.\n * @api\n */\nexport function getArea(extent) {\n    var area = 0;\n    if (!isEmpty(extent)) {\n        area = getWidth(extent) * getHeight(extent);\n    }\n    return area;\n}\n/**\n * Get the bottom left coordinate of an extent.\n * @param {Extent} extent Extent.\n * @return {import(\"./coordinate.js\").Coordinate} Bottom left coordinate.\n * @api\n */\nexport function getBottomLeft(extent) {\n    return [extent[0], extent[1]];\n}\n/**\n * Get the bottom right coordinate of an extent.\n * @param {Extent} extent Extent.\n * @return {import(\"./coordinate.js\").Coordinate} Bottom right coordinate.\n * @api\n */\nexport function getBottomRight(extent) {\n    return [extent[2], extent[1]];\n}\n/**\n * Get the center coordinate of an extent.\n * @param {Extent} extent Extent.\n * @return {import(\"./coordinate.js\").Coordinate} Center.\n * @api\n */\nexport function getCenter(extent) {\n    return [(extent[0] + extent[2]) / 2, (extent[1] + extent[3]) / 2];\n}\n/**\n * Get a corner coordinate of an extent.\n * @param {Extent} extent Extent.\n * @param {import(\"./extent/Corner.js\").default} corner Corner.\n * @return {import(\"./coordinate.js\").Coordinate} Corner coordinate.\n */\nexport function getCorner(extent, corner) {\n    var coordinate;\n    if (corner === Corner.BOTTOM_LEFT) {\n        coordinate = getBottomLeft(extent);\n    }\n    else if (corner === Corner.BOTTOM_RIGHT) {\n        coordinate = getBottomRight(extent);\n    }\n    else if (corner === Corner.TOP_LEFT) {\n        coordinate = getTopLeft(extent);\n    }\n    else if (corner === Corner.TOP_RIGHT) {\n        coordinate = getTopRight(extent);\n    }\n    else {\n        assert(false, 13); // Invalid corner\n    }\n    return coordinate;\n}\n/**\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @return {number} Enlarged area.\n */\nexport function getEnlargedArea(extent1, extent2) {\n    var minX = Math.min(extent1[0], extent2[0]);\n    var minY = Math.min(extent1[1], extent2[1]);\n    var maxX = Math.max(extent1[2], extent2[2]);\n    var maxY = Math.max(extent1[3], extent2[3]);\n    return (maxX - minX) * (maxY - minY);\n}\n/**\n * @param {import(\"./coordinate.js\").Coordinate} center Center.\n * @param {number} resolution Resolution.\n * @param {number} rotation Rotation.\n * @param {import(\"./size.js\").Size} size Size.\n * @param {Extent} [opt_extent] Destination extent.\n * @return {Extent} Extent.\n */\nexport function getForViewAndSize(center, resolution, rotation, size, opt_extent) {\n    var dx = (resolution * size[0]) / 2;\n    var dy = (resolution * size[1]) / 2;\n    var cosRotation = Math.cos(rotation);\n    var sinRotation = Math.sin(rotation);\n    var xCos = dx * cosRotation;\n    var xSin = dx * sinRotation;\n    var yCos = dy * cosRotation;\n    var ySin = dy * sinRotation;\n    var x = center[0];\n    var y = center[1];\n    var x0 = x - xCos + ySin;\n    var x1 = x - xCos - ySin;\n    var x2 = x + xCos - ySin;\n    var x3 = x + xCos + ySin;\n    var y0 = y - xSin - yCos;\n    var y1 = y - xSin + yCos;\n    var y2 = y + xSin + yCos;\n    var y3 = y + xSin - yCos;\n    return createOrUpdate(Math.min(x0, x1, x2, x3), Math.min(y0, y1, y2, y3), Math.max(x0, x1, x2, x3), Math.max(y0, y1, y2, y3), opt_extent);\n}\n/**\n * Get the height of an extent.\n * @param {Extent} extent Extent.\n * @return {number} Height.\n * @api\n */\nexport function getHeight(extent) {\n    return extent[3] - extent[1];\n}\n/**\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @return {number} Intersection area.\n */\nexport function getIntersectionArea(extent1, extent2) {\n    var intersection = getIntersection(extent1, extent2);\n    return getArea(intersection);\n}\n/**\n * Get the intersection of two extents.\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent 2.\n * @param {Extent} [opt_extent] Optional extent to populate with intersection.\n * @return {Extent} Intersecting extent.\n * @api\n */\nexport function getIntersection(extent1, extent2, opt_extent) {\n    var intersection = opt_extent ? opt_extent : createEmpty();\n    if (intersects(extent1, extent2)) {\n        if (extent1[0] > extent2[0]) {\n            intersection[0] = extent1[0];\n        }\n        else {\n            intersection[0] = extent2[0];\n        }\n        if (extent1[1] > extent2[1]) {\n            intersection[1] = extent1[1];\n        }\n        else {\n            intersection[1] = extent2[1];\n        }\n        if (extent1[2] < extent2[2]) {\n            intersection[2] = extent1[2];\n        }\n        else {\n            intersection[2] = extent2[2];\n        }\n        if (extent1[3] < extent2[3]) {\n            intersection[3] = extent1[3];\n        }\n        else {\n            intersection[3] = extent2[3];\n        }\n    }\n    else {\n        createOrUpdateEmpty(intersection);\n    }\n    return intersection;\n}\n/**\n * @param {Extent} extent Extent.\n * @return {number} Margin.\n */\nexport function getMargin(extent) {\n    return getWidth(extent) + getHeight(extent);\n}\n/**\n * Get the size (width, height) of an extent.\n * @param {Extent} extent The extent.\n * @return {import(\"./size.js\").Size} The extent size.\n * @api\n */\nexport function getSize(extent) {\n    return [extent[2] - extent[0], extent[3] - extent[1]];\n}\n/**\n * Get the top left coordinate of an extent.\n * @param {Extent} extent Extent.\n * @return {import(\"./coordinate.js\").Coordinate} Top left coordinate.\n * @api\n */\nexport function getTopLeft(extent) {\n    return [extent[0], extent[3]];\n}\n/**\n * Get the top right coordinate of an extent.\n * @param {Extent} extent Extent.\n * @return {import(\"./coordinate.js\").Coordinate} Top right coordinate.\n * @api\n */\nexport function getTopRight(extent) {\n    return [extent[2], extent[3]];\n}\n/**\n * Get the width of an extent.\n * @param {Extent} extent Extent.\n * @return {number} Width.\n * @api\n */\nexport function getWidth(extent) {\n    return extent[2] - extent[0];\n}\n/**\n * Determine if one extent intersects another.\n * @param {Extent} extent1 Extent 1.\n * @param {Extent} extent2 Extent.\n * @return {boolean} The two extents intersect.\n * @api\n */\nexport function intersects(extent1, extent2) {\n    return (extent1[0] <= extent2[2] &&\n        extent1[2] >= extent2[0] &&\n        extent1[1] <= extent2[3] &&\n        extent1[3] >= extent2[1]);\n}\n/**\n * Determine if an extent is empty.\n * @param {Extent} extent Extent.\n * @return {boolean} Is empty.\n * @api\n */\nexport function isEmpty(extent) {\n    return extent[2] < extent[0] || extent[3] < extent[1];\n}\n/**\n * @param {Extent} extent Extent.\n * @param {Extent} [opt_extent] Extent.\n * @return {Extent} Extent.\n */\nexport function returnOrUpdate(extent, opt_extent) {\n    if (opt_extent) {\n        opt_extent[0] = extent[0];\n        opt_extent[1] = extent[1];\n        opt_extent[2] = extent[2];\n        opt_extent[3] = extent[3];\n        return opt_extent;\n    }\n    else {\n        return extent;\n    }\n}\n/**\n * @param {Extent} extent Extent.\n * @param {number} value Value.\n */\nexport function scaleFromCenter(extent, value) {\n    var deltaX = ((extent[2] - extent[0]) / 2) * (value - 1);\n    var deltaY = ((extent[3] - extent[1]) / 2) * (value - 1);\n    extent[0] -= deltaX;\n    extent[2] += deltaX;\n    extent[1] -= deltaY;\n    extent[3] += deltaY;\n}\n/**\n * Determine if the segment between two coordinates intersects (crosses,\n * touches, or is contained by) the provided extent.\n * @param {Extent} extent The extent.\n * @param {import(\"./coordinate.js\").Coordinate} start Segment start coordinate.\n * @param {import(\"./coordinate.js\").Coordinate} end Segment end coordinate.\n * @return {boolean} The segment intersects the extent.\n */\nexport function intersectsSegment(extent, start, end) {\n    var intersects = false;\n    var startRel = coordinateRelationship(extent, start);\n    var endRel = coordinateRelationship(extent, end);\n    if (startRel === Relationship.INTERSECTING ||\n        endRel === Relationship.INTERSECTING) {\n        intersects = true;\n    }\n    else {\n        var minX = extent[0];\n        var minY = extent[1];\n        var maxX = extent[2];\n        var maxY = extent[3];\n        var startX = start[0];\n        var startY = start[1];\n        var endX = end[0];\n        var endY = end[1];\n        var slope = (endY - startY) / (endX - startX);\n        var x = void 0, y = void 0;\n        if (!!(endRel & Relationship.ABOVE) && !(startRel & Relationship.ABOVE)) {\n            // potentially intersects top\n            x = endX - (endY - maxY) / slope;\n            intersects = x >= minX && x <= maxX;\n        }\n        if (!intersects &&\n            !!(endRel & Relationship.RIGHT) &&\n            !(startRel & Relationship.RIGHT)) {\n            // potentially intersects right\n            y = endY - (endX - maxX) * slope;\n            intersects = y >= minY && y <= maxY;\n        }\n        if (!intersects &&\n            !!(endRel & Relationship.BELOW) &&\n            !(startRel & Relationship.BELOW)) {\n            // potentially intersects bottom\n            x = endX - (endY - minY) / slope;\n            intersects = x >= minX && x <= maxX;\n        }\n        if (!intersects &&\n            !!(endRel & Relationship.LEFT) &&\n            !(startRel & Relationship.LEFT)) {\n            // potentially intersects left\n            y = endY - (endX - minX) * slope;\n            intersects = y >= minY && y <= maxY;\n        }\n    }\n    return intersects;\n}\n/**\n * Apply a transform function to the extent.\n * @param {Extent} extent Extent.\n * @param {import(\"./proj.js\").TransformFunction} transformFn Transform function.\n * Called with `[minX, minY, maxX, maxY]` extent coordinates.\n * @param {Extent} [opt_extent] Destination extent.\n * @param {number} [opt_stops] Number of stops per side used for the transform.\n * By default only the corners are used.\n * @return {Extent} Extent.\n * @api\n */\nexport function applyTransform(extent, transformFn, opt_extent, opt_stops) {\n    var coordinates = [];\n    if (opt_stops > 1) {\n        var width = extent[2] - extent[0];\n        var height = extent[3] - extent[1];\n        for (var i = 0; i < opt_stops; ++i) {\n            coordinates.push(extent[0] + (width * i) / opt_stops, extent[1], extent[2], extent[1] + (height * i) / opt_stops, extent[2] - (width * i) / opt_stops, extent[3], extent[0], extent[3] - (height * i) / opt_stops);\n        }\n    }\n    else {\n        coordinates = [\n            extent[0],\n            extent[1],\n            extent[2],\n            extent[1],\n            extent[2],\n            extent[3],\n            extent[0],\n            extent[3],\n        ];\n    }\n    transformFn(coordinates, coordinates, 2);\n    var xs = [];\n    var ys = [];\n    for (var i = 0, l = coordinates.length; i < l; i += 2) {\n        xs.push(coordinates[i]);\n        ys.push(coordinates[i + 1]);\n    }\n    return _boundingExtentXYs(xs, ys, opt_extent);\n}\n/**\n * Modifies the provided extent in-place to be within the real world\n * extent.\n *\n * @param {Extent} extent Extent.\n * @param {import(\"./proj/Projection.js\").default} projection Projection\n * @return {Extent} The extent within the real world extent.\n */\nexport function wrapX(extent, projection) {\n    var projectionExtent = projection.getExtent();\n    var center = getCenter(extent);\n    if (projection.canWrapX() &&\n        (center[0] < projectionExtent[0] || center[0] >= projectionExtent[2])) {\n        var worldWidth = getWidth(projectionExtent);\n        var worldsAway = Math.floor((center[0] - projectionExtent[0]) / worldWidth);\n        var offset = worldsAway * worldWidth;\n        extent[0] -= offset;\n        extent[2] -= offset;\n    }\n    return extent;\n}\n//# sourceMappingURL=extent.js.map","/**\n * @module ol/proj/Projection\n */\nimport { METERS_PER_UNIT } from './Units.js';\n/**\n * @typedef {Object} Options\n * @property {string} code The SRS identifier code, e.g. `EPSG:4326`.\n * @property {import(\"./Units.js\").default|string} [units] Units. Required unless a\n * proj4 projection is defined for `code`.\n * @property {import(\"../extent.js\").Extent} [extent] The validity extent for the SRS.\n * @property {string} [axisOrientation='enu'] The axis orientation as specified in Proj4.\n * @property {boolean} [global=false] Whether the projection is valid for the whole globe.\n * @property {number} [metersPerUnit] The meters per unit for the SRS.\n * If not provided, the `units` are used to get the meters per unit from the {@link module:ol/proj/Units~METERS_PER_UNIT}\n * lookup table.\n * @property {import(\"../extent.js\").Extent} [worldExtent] The world extent for the SRS.\n * @property {function(number, import(\"../coordinate.js\").Coordinate):number} [getPointResolution]\n * Function to determine resolution at a point. The function is called with a\n * `number` view resolution and a {@link module:ol/coordinate~Coordinate Coordinate} as arguments, and returns\n * the `number` resolution in projection units at the passed coordinate. If this is `undefined`,\n * the default {@link module:ol/proj.getPointResolution getPointResolution()} function will be used.\n */\n/**\n * @classdesc\n * Projection definition class. One of these is created for each projection\n * supported in the application and stored in the {@link module:ol/proj} namespace.\n * You can use these in applications, but this is not required, as API params\n * and options use {@link module:ol/proj~ProjectionLike} which means the simple string\n * code will suffice.\n *\n * You can use {@link module:ol/proj.get} to retrieve the object for a particular\n * projection.\n *\n * The library includes definitions for `EPSG:4326` and `EPSG:3857`, together\n * with the following aliases:\n * * `EPSG:4326`: CRS:84, urn:ogc:def:crs:EPSG:6.6:4326,\n *     urn:ogc:def:crs:OGC:1.3:CRS84, urn:ogc:def:crs:OGC:2:84,\n *     http://www.opengis.net/gml/srs/epsg.xml#4326,\n *     urn:x-ogc:def:crs:EPSG:4326\n * * `EPSG:3857`: EPSG:102100, EPSG:102113, EPSG:900913,\n *     urn:ogc:def:crs:EPSG:6.18:3:3857,\n *     http://www.opengis.net/gml/srs/epsg.xml#3857\n *\n * If you use [proj4js](https://github.com/proj4js/proj4js), aliases can\n * be added using `proj4.defs()`. After all required projection definitions are\n * added, call the {@link module:ol/proj/proj4.register} function.\n *\n * @api\n */\nvar Projection = /** @class */ (function () {\n    /**\n     * @param {Options} options Projection options.\n     */\n    function Projection(options) {\n        /**\n         * @private\n         * @type {string}\n         */\n        this.code_ = options.code;\n        /**\n         * Units of projected coordinates. When set to `TILE_PIXELS`, a\n         * `this.extent_` and `this.worldExtent_` must be configured properly for each\n         * tile.\n         * @private\n         * @type {import(\"./Units.js\").default}\n         */\n        this.units_ = /** @type {import(\"./Units.js\").default} */ (options.units);\n        /**\n         * Validity extent of the projection in projected coordinates. For projections\n         * with `TILE_PIXELS` units, this is the extent of the tile in\n         * tile pixel space.\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        this.extent_ = options.extent !== undefined ? options.extent : null;\n        /**\n         * Extent of the world in EPSG:4326. For projections with\n         * `TILE_PIXELS` units, this is the extent of the tile in\n         * projected coordinate space.\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        this.worldExtent_ =\n            options.worldExtent !== undefined ? options.worldExtent : null;\n        /**\n         * @private\n         * @type {string}\n         */\n        this.axisOrientation_ =\n            options.axisOrientation !== undefined ? options.axisOrientation : 'enu';\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.global_ = options.global !== undefined ? options.global : false;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.canWrapX_ = !!(this.global_ && this.extent_);\n        /**\n         * @private\n         * @type {function(number, import(\"../coordinate.js\").Coordinate):number|undefined}\n         */\n        this.getPointResolutionFunc_ = options.getPointResolution;\n        /**\n         * @private\n         * @type {import(\"../tilegrid/TileGrid.js\").default}\n         */\n        this.defaultTileGrid_ = null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.metersPerUnit_ = options.metersPerUnit;\n    }\n    /**\n     * @return {boolean} The projection is suitable for wrapping the x-axis\n     */\n    Projection.prototype.canWrapX = function () {\n        return this.canWrapX_;\n    };\n    /**\n     * Get the code for this projection, e.g. 'EPSG:4326'.\n     * @return {string} Code.\n     * @api\n     */\n    Projection.prototype.getCode = function () {\n        return this.code_;\n    };\n    /**\n     * Get the validity extent for this projection.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    Projection.prototype.getExtent = function () {\n        return this.extent_;\n    };\n    /**\n     * Get the units of this projection.\n     * @return {import(\"./Units.js\").default} Units.\n     * @api\n     */\n    Projection.prototype.getUnits = function () {\n        return this.units_;\n    };\n    /**\n     * Get the amount of meters per unit of this projection.  If the projection is\n     * not configured with `metersPerUnit` or a units identifier, the return is\n     * `undefined`.\n     * @return {number|undefined} Meters.\n     * @api\n     */\n    Projection.prototype.getMetersPerUnit = function () {\n        return this.metersPerUnit_ || METERS_PER_UNIT[this.units_];\n    };\n    /**\n     * Get the world extent for this projection.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    Projection.prototype.getWorldExtent = function () {\n        return this.worldExtent_;\n    };\n    /**\n     * Get the axis orientation of this projection.\n     * Example values are:\n     * enu - the default easting, northing, elevation.\n     * neu - northing, easting, up - useful for \"lat/long\" geographic coordinates,\n     *     or south orientated transverse mercator.\n     * wnu - westing, northing, up - some planetary coordinate systems have\n     *     \"west positive\" coordinate systems\n     * @return {string} Axis orientation.\n     * @api\n     */\n    Projection.prototype.getAxisOrientation = function () {\n        return this.axisOrientation_;\n    };\n    /**\n     * Is this projection a global projection which spans the whole world?\n     * @return {boolean} Whether the projection is global.\n     * @api\n     */\n    Projection.prototype.isGlobal = function () {\n        return this.global_;\n    };\n    /**\n     * Set if the projection is a global projection which spans the whole world\n     * @param {boolean} global Whether the projection is global.\n     * @api\n     */\n    Projection.prototype.setGlobal = function (global) {\n        this.global_ = global;\n        this.canWrapX_ = !!(global && this.extent_);\n    };\n    /**\n     * @return {import(\"../tilegrid/TileGrid.js\").default} The default tile grid.\n     */\n    Projection.prototype.getDefaultTileGrid = function () {\n        return this.defaultTileGrid_;\n    };\n    /**\n     * @param {import(\"../tilegrid/TileGrid.js\").default} tileGrid The default tile grid.\n     */\n    Projection.prototype.setDefaultTileGrid = function (tileGrid) {\n        this.defaultTileGrid_ = tileGrid;\n    };\n    /**\n     * Set the validity extent for this projection.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @api\n     */\n    Projection.prototype.setExtent = function (extent) {\n        this.extent_ = extent;\n        this.canWrapX_ = !!(this.global_ && extent);\n    };\n    /**\n     * Set the world extent for this projection.\n     * @param {import(\"../extent.js\").Extent} worldExtent World extent\n     *     [minlon, minlat, maxlon, maxlat].\n     * @api\n     */\n    Projection.prototype.setWorldExtent = function (worldExtent) {\n        this.worldExtent_ = worldExtent;\n    };\n    /**\n     * Set the getPointResolution function (see {@link module:ol/proj.getPointResolution}\n     * for this projection.\n     * @param {function(number, import(\"../coordinate.js\").Coordinate):number} func Function\n     * @api\n     */\n    Projection.prototype.setGetPointResolution = function (func) {\n        this.getPointResolutionFunc_ = func;\n    };\n    /**\n     * Get the custom point resolution function for this projection (if set).\n     * @return {function(number, import(\"../coordinate.js\").Coordinate):number|undefined} The custom point\n     * resolution function (if set).\n     */\n    Projection.prototype.getPointResolutionFunc = function () {\n        return this.getPointResolutionFunc_;\n    };\n    return Projection;\n}());\nexport default Projection;\n//# sourceMappingURL=Projection.js.map","/**\n * @module ol/math\n */\n/**\n * Takes a number and clamps it to within the provided bounds.\n * @param {number} value The input number.\n * @param {number} min The minimum value to return.\n * @param {number} max The maximum value to return.\n * @return {number} The input number if it is within bounds, or the nearest\n *     number within the bounds.\n */\nexport function clamp(value, min, max) {\n    return Math.min(Math.max(value, min), max);\n}\n/**\n * Return the hyperbolic cosine of a given number. The method will use the\n * native `Math.cosh` function if it is available, otherwise the hyperbolic\n * cosine will be calculated via the reference implementation of the Mozilla\n * developer network.\n *\n * @param {number} x X.\n * @return {number} Hyperbolic cosine of x.\n */\nexport var cosh = (function () {\n    // Wrapped in a iife, to save the overhead of checking for the native\n    // implementation on every invocation.\n    var cosh;\n    if ('cosh' in Math) {\n        // The environment supports the native Math.cosh function, use it…\n        cosh = Math.cosh;\n    }\n    else {\n        // … else, use the reference implementation of MDN:\n        cosh = function (x) {\n            var y = /** @type {Math} */ (Math).exp(x);\n            return (y + 1 / y) / 2;\n        };\n    }\n    return cosh;\n})();\n/**\n * Return the base 2 logarithm of a given number. The method will use the\n * native `Math.log2` function if it is available, otherwise the base 2\n * logarithm will be calculated via the reference implementation of the\n * Mozilla developer network.\n *\n * @param {number} x X.\n * @return {number} Base 2 logarithm of x.\n */\nexport var log2 = (function () {\n    // Wrapped in a iife, to save the overhead of checking for the native\n    // implementation on every invocation.\n    var log2;\n    if ('log2' in Math) {\n        // The environment supports the native Math.log2 function, use it…\n        log2 = Math.log2;\n    }\n    else {\n        // … else, use the reference implementation of MDN:\n        log2 = function (x) {\n            return Math.log(x) * Math.LOG2E;\n        };\n    }\n    return log2;\n})();\n/**\n * Returns the square of the closest distance between the point (x, y) and the\n * line segment (x1, y1) to (x2, y2).\n * @param {number} x X.\n * @param {number} y Y.\n * @param {number} x1 X1.\n * @param {number} y1 Y1.\n * @param {number} x2 X2.\n * @param {number} y2 Y2.\n * @return {number} Squared distance.\n */\nexport function squaredSegmentDistance(x, y, x1, y1, x2, y2) {\n    var dx = x2 - x1;\n    var dy = y2 - y1;\n    if (dx !== 0 || dy !== 0) {\n        var t = ((x - x1) * dx + (y - y1) * dy) / (dx * dx + dy * dy);\n        if (t > 1) {\n            x1 = x2;\n            y1 = y2;\n        }\n        else if (t > 0) {\n            x1 += dx * t;\n            y1 += dy * t;\n        }\n    }\n    return squaredDistance(x, y, x1, y1);\n}\n/**\n * Returns the square of the distance between the points (x1, y1) and (x2, y2).\n * @param {number} x1 X1.\n * @param {number} y1 Y1.\n * @param {number} x2 X2.\n * @param {number} y2 Y2.\n * @return {number} Squared distance.\n */\nexport function squaredDistance(x1, y1, x2, y2) {\n    var dx = x2 - x1;\n    var dy = y2 - y1;\n    return dx * dx + dy * dy;\n}\n/**\n * Solves system of linear equations using Gaussian elimination method.\n *\n * @param {Array<Array<number>>} mat Augmented matrix (n x n + 1 column)\n *                                     in row-major order.\n * @return {Array<number>} The resulting vector.\n */\nexport function solveLinearSystem(mat) {\n    var n = mat.length;\n    for (var i = 0; i < n; i++) {\n        // Find max in the i-th column (ignoring i - 1 first rows)\n        var maxRow = i;\n        var maxEl = Math.abs(mat[i][i]);\n        for (var r = i + 1; r < n; r++) {\n            var absValue = Math.abs(mat[r][i]);\n            if (absValue > maxEl) {\n                maxEl = absValue;\n                maxRow = r;\n            }\n        }\n        if (maxEl === 0) {\n            return null; // matrix is singular\n        }\n        // Swap max row with i-th (current) row\n        var tmp = mat[maxRow];\n        mat[maxRow] = mat[i];\n        mat[i] = tmp;\n        // Subtract the i-th row to make all the remaining rows 0 in the i-th column\n        for (var j = i + 1; j < n; j++) {\n            var coef = -mat[j][i] / mat[i][i];\n            for (var k = i; k < n + 1; k++) {\n                if (i == k) {\n                    mat[j][k] = 0;\n                }\n                else {\n                    mat[j][k] += coef * mat[i][k];\n                }\n            }\n        }\n    }\n    // Solve Ax=b for upper triangular matrix A (mat)\n    var x = new Array(n);\n    for (var l = n - 1; l >= 0; l--) {\n        x[l] = mat[l][n] / mat[l][l];\n        for (var m = l - 1; m >= 0; m--) {\n            mat[m][n] -= mat[m][l] * x[l];\n        }\n    }\n    return x;\n}\n/**\n * Converts radians to to degrees.\n *\n * @param {number} angleInRadians Angle in radians.\n * @return {number} Angle in degrees.\n */\nexport function toDegrees(angleInRadians) {\n    return (angleInRadians * 180) / Math.PI;\n}\n/**\n * Converts degrees to radians.\n *\n * @param {number} angleInDegrees Angle in degrees.\n * @return {number} Angle in radians.\n */\nexport function toRadians(angleInDegrees) {\n    return (angleInDegrees * Math.PI) / 180;\n}\n/**\n * Returns the modulo of a / b, depending on the sign of b.\n *\n * @param {number} a Dividend.\n * @param {number} b Divisor.\n * @return {number} Modulo.\n */\nexport function modulo(a, b) {\n    var r = a % b;\n    return r * b < 0 ? r + b : r;\n}\n/**\n * Calculates the linearly interpolated value of x between a and b.\n *\n * @param {number} a Number\n * @param {number} b Number\n * @param {number} x Value to be interpolated.\n * @return {number} Interpolated value.\n */\nexport function lerp(a, b, x) {\n    return a + x * (b - a);\n}\n/**\n * Returns a number with a limited number of decimal digits.\n * @param {number} n The input number.\n * @param {number} decimals The maximum number of decimal digits.\n * @return {number} The input number with a limited number of decimal digits.\n */\nexport function toFixed(n, decimals) {\n    var factor = Math.pow(10, decimals);\n    return Math.round(n * factor) / factor;\n}\n/**\n * Rounds a number to the nearest integer value considering only the given number\n * of decimal digits (with rounding on the final digit).\n * @param {number} n The input number.\n * @param {number} decimals The maximum number of decimal digits.\n * @return {number} The nearest integer.\n */\nexport function round(n, decimals) {\n    return Math.round(toFixed(n, decimals));\n}\n/**\n * Rounds a number to the next smaller integer considering only the given number\n * of decimal digits (with rounding on the final digit).\n * @param {number} n The input number.\n * @param {number} decimals The maximum number of decimal digits.\n * @return {number} The next smaller integer.\n */\nexport function floor(n, decimals) {\n    return Math.floor(toFixed(n, decimals));\n}\n/**\n * Rounds a number to the next bigger integer considering only the given number\n * of decimal digits (with rounding on the final digit).\n * @param {number} n The input number.\n * @param {number} decimals The maximum number of decimal digits.\n * @return {number} The next bigger integer.\n */\nexport function ceil(n, decimals) {\n    return Math.ceil(toFixed(n, decimals));\n}\n//# sourceMappingURL=math.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/proj/epsg3857\n */\nimport Projection from './Projection.js';\nimport Units from './Units.js';\nimport { cosh } from '../math.js';\n/**\n * Radius of WGS84 sphere\n *\n * @const\n * @type {number}\n */\nexport var RADIUS = 6378137;\n/**\n * @const\n * @type {number}\n */\nexport var HALF_SIZE = Math.PI * RADIUS;\n/**\n * @const\n * @type {import(\"../extent.js\").Extent}\n */\nexport var EXTENT = [-HALF_SIZE, -HALF_SIZE, HALF_SIZE, HALF_SIZE];\n/**\n * @const\n * @type {import(\"../extent.js\").Extent}\n */\nexport var WORLD_EXTENT = [-180, -85, 180, 85];\n/**\n * Maximum safe value in y direction\n * @const\n * @type {number}\n */\nexport var MAX_SAFE_Y = RADIUS * Math.log(Math.tan(Math.PI / 2));\n/**\n * @classdesc\n * Projection object for web/spherical Mercator (EPSG:3857).\n */\nvar EPSG3857Projection = /** @class */ (function (_super) {\n    __extends(EPSG3857Projection, _super);\n    /**\n     * @param {string} code Code.\n     */\n    function EPSG3857Projection(code) {\n        return _super.call(this, {\n            code: code,\n            units: Units.METERS,\n            extent: EXTENT,\n            global: true,\n            worldExtent: WORLD_EXTENT,\n            getPointResolution: function (resolution, point) {\n                return resolution / cosh(point[1] / RADIUS);\n            },\n        }) || this;\n    }\n    return EPSG3857Projection;\n}(Projection));\n/**\n * Projections equal to EPSG:3857.\n *\n * @const\n * @type {Array<import(\"./Projection.js\").default>}\n */\nexport var PROJECTIONS = [\n    new EPSG3857Projection('EPSG:3857'),\n    new EPSG3857Projection('EPSG:102100'),\n    new EPSG3857Projection('EPSG:102113'),\n    new EPSG3857Projection('EPSG:900913'),\n    new EPSG3857Projection('http://www.opengis.net/def/crs/EPSG/0/3857'),\n    new EPSG3857Projection('http://www.opengis.net/gml/srs/epsg.xml#3857'),\n];\n/**\n * Transformation from EPSG:4326 to EPSG:3857.\n *\n * @param {Array<number>} input Input array of coordinate values.\n * @param {Array<number>} [opt_output] Output array of coordinate values.\n * @param {number} [opt_dimension] Dimension (default is `2`).\n * @return {Array<number>} Output array of coordinate values.\n */\nexport function fromEPSG4326(input, opt_output, opt_dimension) {\n    var length = input.length;\n    var dimension = opt_dimension > 1 ? opt_dimension : 2;\n    var output = opt_output;\n    if (output === undefined) {\n        if (dimension > 2) {\n            // preserve values beyond second dimension\n            output = input.slice();\n        }\n        else {\n            output = new Array(length);\n        }\n    }\n    for (var i = 0; i < length; i += dimension) {\n        output[i] = (HALF_SIZE * input[i]) / 180;\n        var y = RADIUS * Math.log(Math.tan((Math.PI * (+input[i + 1] + 90)) / 360));\n        if (y > MAX_SAFE_Y) {\n            y = MAX_SAFE_Y;\n        }\n        else if (y < -MAX_SAFE_Y) {\n            y = -MAX_SAFE_Y;\n        }\n        output[i + 1] = y;\n    }\n    return output;\n}\n/**\n * Transformation from EPSG:3857 to EPSG:4326.\n *\n * @param {Array<number>} input Input array of coordinate values.\n * @param {Array<number>} [opt_output] Output array of coordinate values.\n * @param {number} [opt_dimension] Dimension (default is `2`).\n * @return {Array<number>} Output array of coordinate values.\n */\nexport function toEPSG4326(input, opt_output, opt_dimension) {\n    var length = input.length;\n    var dimension = opt_dimension > 1 ? opt_dimension : 2;\n    var output = opt_output;\n    if (output === undefined) {\n        if (dimension > 2) {\n            // preserve values beyond second dimension\n            output = input.slice();\n        }\n        else {\n            output = new Array(length);\n        }\n    }\n    for (var i = 0; i < length; i += dimension) {\n        output[i] = (180 * input[i]) / HALF_SIZE;\n        output[i + 1] =\n            (360 * Math.atan(Math.exp(input[i + 1] / RADIUS))) / Math.PI - 90;\n    }\n    return output;\n}\n//# sourceMappingURL=epsg3857.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/proj/epsg4326\n */\nimport Projection from './Projection.js';\nimport Units from './Units.js';\n/**\n * Semi-major radius of the WGS84 ellipsoid.\n *\n * @const\n * @type {number}\n */\nexport var RADIUS = 6378137;\n/**\n * Extent of the EPSG:4326 projection which is the whole world.\n *\n * @const\n * @type {import(\"../extent.js\").Extent}\n */\nexport var EXTENT = [-180, -90, 180, 90];\n/**\n * @const\n * @type {number}\n */\nexport var METERS_PER_UNIT = (Math.PI * RADIUS) / 180;\n/**\n * @classdesc\n * Projection object for WGS84 geographic coordinates (EPSG:4326).\n *\n * Note that OpenLayers does not strictly comply with the EPSG definition.\n * The EPSG registry defines 4326 as a CRS for Latitude,Longitude (y,x).\n * OpenLayers treats EPSG:4326 as a pseudo-projection, with x,y coordinates.\n */\nvar EPSG4326Projection = /** @class */ (function (_super) {\n    __extends(EPSG4326Projection, _super);\n    /**\n     * @param {string} code Code.\n     * @param {string} [opt_axisOrientation] Axis orientation.\n     */\n    function EPSG4326Projection(code, opt_axisOrientation) {\n        return _super.call(this, {\n            code: code,\n            units: Units.DEGREES,\n            extent: EXTENT,\n            axisOrientation: opt_axisOrientation,\n            global: true,\n            metersPerUnit: METERS_PER_UNIT,\n            worldExtent: EXTENT,\n        }) || this;\n    }\n    return EPSG4326Projection;\n}(Projection));\n/**\n * Projections equal to EPSG:4326.\n *\n * @const\n * @type {Array<import(\"./Projection.js\").default>}\n */\nexport var PROJECTIONS = [\n    new EPSG4326Projection('CRS:84'),\n    new EPSG4326Projection('EPSG:4326', 'neu'),\n    new EPSG4326Projection('urn:ogc:def:crs:OGC:1.3:CRS84'),\n    new EPSG4326Projection('urn:ogc:def:crs:OGC:2:84'),\n    new EPSG4326Projection('http://www.opengis.net/def/crs/OGC/1.3/CRS84'),\n    new EPSG4326Projection('http://www.opengis.net/gml/srs/epsg.xml#4326', 'neu'),\n    new EPSG4326Projection('http://www.opengis.net/def/crs/EPSG/0/4326', 'neu'),\n];\n//# sourceMappingURL=epsg4326.js.map","/**\n * @module ol/proj/projections\n */\n/**\n * @type {Object<string, import(\"./Projection.js\").default>}\n */\nvar cache = {};\n/**\n * Clear the projections cache.\n */\nexport function clear() {\n    cache = {};\n}\n/**\n * Get a cached projection by code.\n * @param {string} code The code for the projection.\n * @return {import(\"./Projection.js\").default} The projection (if cached).\n */\nexport function get(code) {\n    return (cache[code] ||\n        cache[code.replace(/urn:(x-)?ogc:def:crs:EPSG:(.*:)?(\\w+)$/, 'EPSG:$3')] ||\n        null);\n}\n/**\n * Add a projection to the cache.\n * @param {string} code The projection code.\n * @param {import(\"./Projection.js\").default} projection The projection to cache.\n */\nexport function add(code, projection) {\n    cache[code] = projection;\n}\n//# sourceMappingURL=projections.js.map","/**\n * @module ol/proj/transforms\n */\nimport { isEmpty } from '../obj.js';\n/**\n * @private\n * @type {!Object<string, Object<string, import(\"../proj.js\").TransformFunction>>}\n */\nvar transforms = {};\n/**\n * Clear the transform cache.\n */\nexport function clear() {\n    transforms = {};\n}\n/**\n * Registers a conversion function to convert coordinates from the source\n * projection to the destination projection.\n *\n * @param {import(\"./Projection.js\").default} source Source.\n * @param {import(\"./Projection.js\").default} destination Destination.\n * @param {import(\"../proj.js\").TransformFunction} transformFn Transform.\n */\nexport function add(source, destination, transformFn) {\n    var sourceCode = source.getCode();\n    var destinationCode = destination.getCode();\n    if (!(sourceCode in transforms)) {\n        transforms[sourceCode] = {};\n    }\n    transforms[sourceCode][destinationCode] = transformFn;\n}\n/**\n * Unregisters the conversion function to convert coordinates from the source\n * projection to the destination projection.  This method is used to clean up\n * cached transforms during testing.\n *\n * @param {import(\"./Projection.js\").default} source Source projection.\n * @param {import(\"./Projection.js\").default} destination Destination projection.\n * @return {import(\"../proj.js\").TransformFunction} transformFn The unregistered transform.\n */\nexport function remove(source, destination) {\n    var sourceCode = source.getCode();\n    var destinationCode = destination.getCode();\n    var transform = transforms[sourceCode][destinationCode];\n    delete transforms[sourceCode][destinationCode];\n    if (isEmpty(transforms[sourceCode])) {\n        delete transforms[sourceCode];\n    }\n    return transform;\n}\n/**\n * Get a transform given a source code and a destination code.\n * @param {string} sourceCode The code for the source projection.\n * @param {string} destinationCode The code for the destination projection.\n * @return {import(\"../proj.js\").TransformFunction|undefined} The transform function (if found).\n */\nexport function get(sourceCode, destinationCode) {\n    var transform;\n    if (sourceCode in transforms && destinationCode in transforms[sourceCode]) {\n        transform = transforms[sourceCode][destinationCode];\n    }\n    return transform;\n}\n//# sourceMappingURL=transforms.js.map","/**\n * @module ol/sphere\n */\nimport GeometryType from './geom/GeometryType.js';\nimport { toDegrees, toRadians } from './math.js';\n/**\n * Object literal with options for the {@link getLength} or {@link getArea}\n * functions.\n * @typedef {Object} SphereMetricOptions\n * @property {import(\"./proj.js\").ProjectionLike} [projection='EPSG:3857']\n * Projection of the  geometry.  By default, the geometry is assumed to be in\n * Web Mercator.\n * @property {number} [radius=6371008.8] Sphere radius.  By default, the\n * [mean Earth radius](https://en.wikipedia.org/wiki/Earth_radius#Mean_radius)\n * for the WGS84 ellipsoid is used.\n */\n/**\n * The mean Earth radius (1/3 * (2a + b)) for the WGS84 ellipsoid.\n * https://en.wikipedia.org/wiki/Earth_radius#Mean_radius\n * @type {number}\n */\nexport var DEFAULT_RADIUS = 6371008.8;\n/**\n * Get the great circle distance (in meters) between two geographic coordinates.\n * @param {Array} c1 Starting coordinate.\n * @param {Array} c2 Ending coordinate.\n * @param {number} [opt_radius] The sphere radius to use.  Defaults to the Earth's\n *     mean radius using the WGS84 ellipsoid.\n * @return {number} The great circle distance between the points (in meters).\n * @api\n */\nexport function getDistance(c1, c2, opt_radius) {\n    var radius = opt_radius || DEFAULT_RADIUS;\n    var lat1 = toRadians(c1[1]);\n    var lat2 = toRadians(c2[1]);\n    var deltaLatBy2 = (lat2 - lat1) / 2;\n    var deltaLonBy2 = toRadians(c2[0] - c1[0]) / 2;\n    var a = Math.sin(deltaLatBy2) * Math.sin(deltaLatBy2) +\n        Math.sin(deltaLonBy2) *\n            Math.sin(deltaLonBy2) *\n            Math.cos(lat1) *\n            Math.cos(lat2);\n    return 2 * radius * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\n}\n/**\n * Get the cumulative great circle length of linestring coordinates (geographic).\n * @param {Array} coordinates Linestring coordinates.\n * @param {number} radius The sphere radius to use.\n * @return {number} The length (in meters).\n */\nfunction getLengthInternal(coordinates, radius) {\n    var length = 0;\n    for (var i = 0, ii = coordinates.length; i < ii - 1; ++i) {\n        length += getDistance(coordinates[i], coordinates[i + 1], radius);\n    }\n    return length;\n}\n/**\n * Get the spherical length of a geometry.  This length is the sum of the\n * great circle distances between coordinates.  For polygons, the length is\n * the sum of all rings.  For points, the length is zero.  For multi-part\n * geometries, the length is the sum of the length of each part.\n * @param {import(\"./geom/Geometry.js\").default} geometry A geometry.\n * @param {SphereMetricOptions} [opt_options] Options for the\n * length calculation.  By default, geometries are assumed to be in 'EPSG:3857'.\n * You can change this by providing a `projection` option.\n * @return {number} The spherical length (in meters).\n * @api\n */\nexport function getLength(geometry, opt_options) {\n    var options = opt_options || {};\n    var radius = options.radius || DEFAULT_RADIUS;\n    var projection = options.projection || 'EPSG:3857';\n    var type = geometry.getType();\n    if (type !== GeometryType.GEOMETRY_COLLECTION) {\n        geometry = geometry.clone().transform(projection, 'EPSG:4326');\n    }\n    var length = 0;\n    var coordinates, coords, i, ii, j, jj;\n    switch (type) {\n        case GeometryType.POINT:\n        case GeometryType.MULTI_POINT: {\n            break;\n        }\n        case GeometryType.LINE_STRING:\n        case GeometryType.LINEAR_RING: {\n            coordinates = /** @type {import(\"./geom/SimpleGeometry.js\").default} */ (geometry).getCoordinates();\n            length = getLengthInternal(coordinates, radius);\n            break;\n        }\n        case GeometryType.MULTI_LINE_STRING:\n        case GeometryType.POLYGON: {\n            coordinates = /** @type {import(\"./geom/SimpleGeometry.js\").default} */ (geometry).getCoordinates();\n            for (i = 0, ii = coordinates.length; i < ii; ++i) {\n                length += getLengthInternal(coordinates[i], radius);\n            }\n            break;\n        }\n        case GeometryType.MULTI_POLYGON: {\n            coordinates = /** @type {import(\"./geom/SimpleGeometry.js\").default} */ (geometry).getCoordinates();\n            for (i = 0, ii = coordinates.length; i < ii; ++i) {\n                coords = coordinates[i];\n                for (j = 0, jj = coords.length; j < jj; ++j) {\n                    length += getLengthInternal(coords[j], radius);\n                }\n            }\n            break;\n        }\n        case GeometryType.GEOMETRY_COLLECTION: {\n            var geometries = \n            /** @type {import(\"./geom/GeometryCollection.js\").default} */ (geometry).getGeometries();\n            for (i = 0, ii = geometries.length; i < ii; ++i) {\n                length += getLength(geometries[i], opt_options);\n            }\n            break;\n        }\n        default: {\n            throw new Error('Unsupported geometry type: ' + type);\n        }\n    }\n    return length;\n}\n/**\n * Returns the spherical area for a list of coordinates.\n *\n * [Reference](https://trs.jpl.nasa.gov/handle/2014/40409)\n * Robert. G. Chamberlain and William H. Duquette, \"Some Algorithms for\n * Polygons on a Sphere\", JPL Publication 07-03, Jet Propulsion\n * Laboratory, Pasadena, CA, June 2007\n *\n * @param {Array<import(\"./coordinate.js\").Coordinate>} coordinates List of coordinates of a linear\n * ring. If the ring is oriented clockwise, the area will be positive,\n * otherwise it will be negative.\n * @param {number} radius The sphere radius.\n * @return {number} Area (in square meters).\n */\nfunction getAreaInternal(coordinates, radius) {\n    var area = 0;\n    var len = coordinates.length;\n    var x1 = coordinates[len - 1][0];\n    var y1 = coordinates[len - 1][1];\n    for (var i = 0; i < len; i++) {\n        var x2 = coordinates[i][0];\n        var y2 = coordinates[i][1];\n        area +=\n            toRadians(x2 - x1) *\n                (2 + Math.sin(toRadians(y1)) + Math.sin(toRadians(y2)));\n        x1 = x2;\n        y1 = y2;\n    }\n    return (area * radius * radius) / 2.0;\n}\n/**\n * Get the spherical area of a geometry.  This is the area (in meters) assuming\n * that polygon edges are segments of great circles on a sphere.\n * @param {import(\"./geom/Geometry.js\").default} geometry A geometry.\n * @param {SphereMetricOptions} [opt_options] Options for the area\n *     calculation.  By default, geometries are assumed to be in 'EPSG:3857'.\n *     You can change this by providing a `projection` option.\n * @return {number} The spherical area (in square meters).\n * @api\n */\nexport function getArea(geometry, opt_options) {\n    var options = opt_options || {};\n    var radius = options.radius || DEFAULT_RADIUS;\n    var projection = options.projection || 'EPSG:3857';\n    var type = geometry.getType();\n    if (type !== GeometryType.GEOMETRY_COLLECTION) {\n        geometry = geometry.clone().transform(projection, 'EPSG:4326');\n    }\n    var area = 0;\n    var coordinates, coords, i, ii, j, jj;\n    switch (type) {\n        case GeometryType.POINT:\n        case GeometryType.MULTI_POINT:\n        case GeometryType.LINE_STRING:\n        case GeometryType.MULTI_LINE_STRING:\n        case GeometryType.LINEAR_RING: {\n            break;\n        }\n        case GeometryType.POLYGON: {\n            coordinates = /** @type {import(\"./geom/Polygon.js\").default} */ (geometry).getCoordinates();\n            area = Math.abs(getAreaInternal(coordinates[0], radius));\n            for (i = 1, ii = coordinates.length; i < ii; ++i) {\n                area -= Math.abs(getAreaInternal(coordinates[i], radius));\n            }\n            break;\n        }\n        case GeometryType.MULTI_POLYGON: {\n            coordinates = /** @type {import(\"./geom/SimpleGeometry.js\").default} */ (geometry).getCoordinates();\n            for (i = 0, ii = coordinates.length; i < ii; ++i) {\n                coords = coordinates[i];\n                area += Math.abs(getAreaInternal(coords[0], radius));\n                for (j = 1, jj = coords.length; j < jj; ++j) {\n                    area -= Math.abs(getAreaInternal(coords[j], radius));\n                }\n            }\n            break;\n        }\n        case GeometryType.GEOMETRY_COLLECTION: {\n            var geometries = \n            /** @type {import(\"./geom/GeometryCollection.js\").default} */ (geometry).getGeometries();\n            for (i = 0, ii = geometries.length; i < ii; ++i) {\n                area += getArea(geometries[i], opt_options);\n            }\n            break;\n        }\n        default: {\n            throw new Error('Unsupported geometry type: ' + type);\n        }\n    }\n    return area;\n}\n/**\n * Returns the coordinate at the given distance and bearing from `c1`.\n *\n * @param {import(\"./coordinate.js\").Coordinate} c1 The origin point (`[lon, lat]` in degrees).\n * @param {number} distance The great-circle distance between the origin\n *     point and the target point.\n * @param {number} bearing The bearing (in radians).\n * @param {number} [opt_radius] The sphere radius to use.  Defaults to the Earth's\n *     mean radius using the WGS84 ellipsoid.\n * @return {import(\"./coordinate.js\").Coordinate} The target point.\n */\nexport function offset(c1, distance, bearing, opt_radius) {\n    var radius = opt_radius || DEFAULT_RADIUS;\n    var lat1 = toRadians(c1[1]);\n    var lon1 = toRadians(c1[0]);\n    var dByR = distance / radius;\n    var lat = Math.asin(Math.sin(lat1) * Math.cos(dByR) +\n        Math.cos(lat1) * Math.sin(dByR) * Math.cos(bearing));\n    var lon = lon1 +\n        Math.atan2(Math.sin(bearing) * Math.sin(dByR) * Math.cos(lat1), Math.cos(dByR) - Math.sin(lat1) * Math.sin(lat));\n    return [toDegrees(lon), toDegrees(lat)];\n}\n//# sourceMappingURL=sphere.js.map","/**\n * @module ol/string\n */\n/**\n * @param {number} number Number to be formatted\n * @param {number} width The desired width\n * @param {number} [opt_precision] Precision of the output string (i.e. number of decimal places)\n * @return {string} Formatted string\n */\nexport function padNumber(number, width, opt_precision) {\n    var numberString = opt_precision !== undefined ? number.toFixed(opt_precision) : '' + number;\n    var decimal = numberString.indexOf('.');\n    decimal = decimal === -1 ? numberString.length : decimal;\n    return decimal > width\n        ? numberString\n        : new Array(1 + width - decimal).join('0') + numberString;\n}\n/**\n * Adapted from https://github.com/omichelsen/compare-versions/blob/master/index.js\n * @param {string|number} v1 First version\n * @param {string|number} v2 Second version\n * @return {number} Value\n */\nexport function compareVersions(v1, v2) {\n    var s1 = ('' + v1).split('.');\n    var s2 = ('' + v2).split('.');\n    for (var i = 0; i < Math.max(s1.length, s2.length); i++) {\n        var n1 = parseInt(s1[i] || '0', 10);\n        var n2 = parseInt(s2[i] || '0', 10);\n        if (n1 > n2) {\n            return 1;\n        }\n        if (n2 > n1) {\n            return -1;\n        }\n    }\n    return 0;\n}\n//# sourceMappingURL=string.js.map","/**\n * @module ol/coordinate\n */\nimport { getWidth } from './extent.js';\nimport { modulo } from './math.js';\nimport { padNumber } from './string.js';\n/**\n * An array of numbers representing an xy coordinate. Example: `[16, 48]`.\n * @typedef {Array<number>} Coordinate\n * @api\n */\n/**\n * A function that takes a {@link module:ol/coordinate~Coordinate} and\n * transforms it into a `{string}`.\n *\n * @typedef {function((Coordinate|undefined)): string} CoordinateFormat\n * @api\n */\n/**\n * Add `delta` to `coordinate`. `coordinate` is modified in place and returned\n * by the function.\n *\n * Example:\n *\n *     import {add} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     add(coord, [-2, 4]);\n *     // coord is now [5.85, 51.983333]\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {Coordinate} delta Delta.\n * @return {Coordinate} The input coordinate adjusted by\n * the given delta.\n * @api\n */\nexport function add(coordinate, delta) {\n    coordinate[0] += +delta[0];\n    coordinate[1] += +delta[1];\n    return coordinate;\n}\n/**\n * Calculates the point closest to the passed coordinate on the passed circle.\n *\n * @param {Coordinate} coordinate The coordinate.\n * @param {import(\"./geom/Circle.js\").default} circle The circle.\n * @return {Coordinate} Closest point on the circumference.\n */\nexport function closestOnCircle(coordinate, circle) {\n    var r = circle.getRadius();\n    var center = circle.getCenter();\n    var x0 = center[0];\n    var y0 = center[1];\n    var x1 = coordinate[0];\n    var y1 = coordinate[1];\n    var dx = x1 - x0;\n    var dy = y1 - y0;\n    if (dx === 0 && dy === 0) {\n        dx = 1;\n    }\n    var d = Math.sqrt(dx * dx + dy * dy);\n    var x = x0 + (r * dx) / d;\n    var y = y0 + (r * dy) / d;\n    return [x, y];\n}\n/**\n * Calculates the point closest to the passed coordinate on the passed segment.\n * This is the foot of the perpendicular of the coordinate to the segment when\n * the foot is on the segment, or the closest segment coordinate when the foot\n * is outside the segment.\n *\n * @param {Coordinate} coordinate The coordinate.\n * @param {Array<Coordinate>} segment The two coordinates\n * of the segment.\n * @return {Coordinate} The foot of the perpendicular of\n * the coordinate to the segment.\n */\nexport function closestOnSegment(coordinate, segment) {\n    var x0 = coordinate[0];\n    var y0 = coordinate[1];\n    var start = segment[0];\n    var end = segment[1];\n    var x1 = start[0];\n    var y1 = start[1];\n    var x2 = end[0];\n    var y2 = end[1];\n    var dx = x2 - x1;\n    var dy = y2 - y1;\n    var along = dx === 0 && dy === 0\n        ? 0\n        : (dx * (x0 - x1) + dy * (y0 - y1)) / (dx * dx + dy * dy || 0);\n    var x, y;\n    if (along <= 0) {\n        x = x1;\n        y = y1;\n    }\n    else if (along >= 1) {\n        x = x2;\n        y = y2;\n    }\n    else {\n        x = x1 + along * dx;\n        y = y1 + along * dy;\n    }\n    return [x, y];\n}\n/**\n * Returns a {@link module:ol/coordinate~CoordinateFormat} function that can be\n * used to format\n * a {Coordinate} to a string.\n *\n * Example without specifying the fractional digits:\n *\n *     import {createStringXY} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var stringifyFunc = createStringXY();\n *     var out = stringifyFunc(coord);\n *     // out is now '8, 48'\n *\n * Example with explicitly specifying 2 fractional digits:\n *\n *     import {createStringXY} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var stringifyFunc = createStringXY(2);\n *     var out = stringifyFunc(coord);\n *     // out is now '7.85, 47.98'\n *\n * @param {number} [opt_fractionDigits] The number of digits to include\n *    after the decimal point. Default is `0`.\n * @return {CoordinateFormat} Coordinate format.\n * @api\n */\nexport function createStringXY(opt_fractionDigits) {\n    return (\n    /**\n     * @param {Coordinate} coordinate Coordinate.\n     * @return {string} String XY.\n     */\n    function (coordinate) {\n        return toStringXY(coordinate, opt_fractionDigits);\n    });\n}\n/**\n * @param {string} hemispheres Hemispheres.\n * @param {number} degrees Degrees.\n * @param {number} [opt_fractionDigits] The number of digits to include\n *    after the decimal point. Default is `0`.\n * @return {string} String.\n */\nexport function degreesToStringHDMS(hemispheres, degrees, opt_fractionDigits) {\n    var normalizedDegrees = modulo(degrees + 180, 360) - 180;\n    var x = Math.abs(3600 * normalizedDegrees);\n    var dflPrecision = opt_fractionDigits || 0;\n    var precision = Math.pow(10, dflPrecision);\n    var deg = Math.floor(x / 3600);\n    var min = Math.floor((x - deg * 3600) / 60);\n    var sec = x - deg * 3600 - min * 60;\n    sec = Math.ceil(sec * precision) / precision;\n    if (sec >= 60) {\n        sec = 0;\n        min += 1;\n    }\n    if (min >= 60) {\n        min = 0;\n        deg += 1;\n    }\n    return (deg +\n        '\\u00b0 ' +\n        padNumber(min, 2) +\n        '\\u2032 ' +\n        padNumber(sec, 2, dflPrecision) +\n        '\\u2033' +\n        (normalizedDegrees == 0\n            ? ''\n            : ' ' + hemispheres.charAt(normalizedDegrees < 0 ? 1 : 0)));\n}\n/**\n * Transforms the given {@link module:ol/coordinate~Coordinate} to a string\n * using the given string template. The strings `{x}` and `{y}` in the template\n * will be replaced with the first and second coordinate values respectively.\n *\n * Example without specifying the fractional digits:\n *\n *     import {format} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var template = 'Coordinate is ({x}|{y}).';\n *     var out = format(coord, template);\n *     // out is now 'Coordinate is (8|48).'\n *\n * Example explicitly specifying the fractional digits:\n *\n *     import {format} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var template = 'Coordinate is ({x}|{y}).';\n *     var out = format(coord, template, 2);\n *     // out is now 'Coordinate is (7.85|47.98).'\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {string} template A template string with `{x}` and `{y}` placeholders\n *     that will be replaced by first and second coordinate values.\n * @param {number} [opt_fractionDigits] The number of digits to include\n *    after the decimal point. Default is `0`.\n * @return {string} Formatted coordinate.\n * @api\n */\nexport function format(coordinate, template, opt_fractionDigits) {\n    if (coordinate) {\n        return template\n            .replace('{x}', coordinate[0].toFixed(opt_fractionDigits))\n            .replace('{y}', coordinate[1].toFixed(opt_fractionDigits));\n    }\n    else {\n        return '';\n    }\n}\n/**\n * @param {Coordinate} coordinate1 First coordinate.\n * @param {Coordinate} coordinate2 Second coordinate.\n * @return {boolean} The two coordinates are equal.\n */\nexport function equals(coordinate1, coordinate2) {\n    var equals = true;\n    for (var i = coordinate1.length - 1; i >= 0; --i) {\n        if (coordinate1[i] != coordinate2[i]) {\n            equals = false;\n            break;\n        }\n    }\n    return equals;\n}\n/**\n * Rotate `coordinate` by `angle`. `coordinate` is modified in place and\n * returned by the function.\n *\n * Example:\n *\n *     import {rotate} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var rotateRadians = Math.PI / 2; // 90 degrees\n *     rotate(coord, rotateRadians);\n *     // coord is now [-47.983333, 7.85]\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {number} angle Angle in radian.\n * @return {Coordinate} Coordinate.\n * @api\n */\nexport function rotate(coordinate, angle) {\n    var cosAngle = Math.cos(angle);\n    var sinAngle = Math.sin(angle);\n    var x = coordinate[0] * cosAngle - coordinate[1] * sinAngle;\n    var y = coordinate[1] * cosAngle + coordinate[0] * sinAngle;\n    coordinate[0] = x;\n    coordinate[1] = y;\n    return coordinate;\n}\n/**\n * Scale `coordinate` by `scale`. `coordinate` is modified in place and returned\n * by the function.\n *\n * Example:\n *\n *     import {scale as scaleCoordinate} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var scale = 1.2;\n *     scaleCoordinate(coord, scale);\n *     // coord is now [9.42, 57.5799996]\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {number} scale Scale factor.\n * @return {Coordinate} Coordinate.\n */\nexport function scale(coordinate, scale) {\n    coordinate[0] *= scale;\n    coordinate[1] *= scale;\n    return coordinate;\n}\n/**\n * @param {Coordinate} coord1 First coordinate.\n * @param {Coordinate} coord2 Second coordinate.\n * @return {number} Squared distance between coord1 and coord2.\n */\nexport function squaredDistance(coord1, coord2) {\n    var dx = coord1[0] - coord2[0];\n    var dy = coord1[1] - coord2[1];\n    return dx * dx + dy * dy;\n}\n/**\n * @param {Coordinate} coord1 First coordinate.\n * @param {Coordinate} coord2 Second coordinate.\n * @return {number} Distance between coord1 and coord2.\n */\nexport function distance(coord1, coord2) {\n    return Math.sqrt(squaredDistance(coord1, coord2));\n}\n/**\n * Calculate the squared distance from a coordinate to a line segment.\n *\n * @param {Coordinate} coordinate Coordinate of the point.\n * @param {Array<Coordinate>} segment Line segment (2\n * coordinates).\n * @return {number} Squared distance from the point to the line segment.\n */\nexport function squaredDistanceToSegment(coordinate, segment) {\n    return squaredDistance(coordinate, closestOnSegment(coordinate, segment));\n}\n/**\n * Format a geographic coordinate with the hemisphere, degrees, minutes, and\n * seconds.\n *\n * Example without specifying fractional digits:\n *\n *     import {toStringHDMS} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var out = toStringHDMS(coord);\n *     // out is now '47° 58′ 60″ N 7° 50′ 60″ E'\n *\n * Example explicitly specifying 1 fractional digit:\n *\n *     import {toStringHDMS} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var out = toStringHDMS(coord, 1);\n *     // out is now '47° 58′ 60.0″ N 7° 50′ 60.0″ E'\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {number} [opt_fractionDigits] The number of digits to include\n *    after the decimal point. Default is `0`.\n * @return {string} Hemisphere, degrees, minutes and seconds.\n * @api\n */\nexport function toStringHDMS(coordinate, opt_fractionDigits) {\n    if (coordinate) {\n        return (degreesToStringHDMS('NS', coordinate[1], opt_fractionDigits) +\n            ' ' +\n            degreesToStringHDMS('EW', coordinate[0], opt_fractionDigits));\n    }\n    else {\n        return '';\n    }\n}\n/**\n * Format a coordinate as a comma delimited string.\n *\n * Example without specifying fractional digits:\n *\n *     import {toStringXY} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var out = toStringXY(coord);\n *     // out is now '8, 48'\n *\n * Example explicitly specifying 1 fractional digit:\n *\n *     import {toStringXY} from 'ol/coordinate';\n *\n *     var coord = [7.85, 47.983333];\n *     var out = toStringXY(coord, 1);\n *     // out is now '7.8, 48.0'\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {number} [opt_fractionDigits] The number of digits to include\n *    after the decimal point. Default is `0`.\n * @return {string} XY.\n * @api\n */\nexport function toStringXY(coordinate, opt_fractionDigits) {\n    return format(coordinate, '{x}, {y}', opt_fractionDigits);\n}\n/**\n * Modifies the provided coordinate in-place to be within the real world\n * extent. The lower projection extent boundary is inclusive, the upper one\n * exclusive.\n *\n * @param {Coordinate} coordinate Coordinate.\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @return {Coordinate} The coordinate within the real world extent.\n */\nexport function wrapX(coordinate, projection) {\n    if (projection.canWrapX()) {\n        var worldWidth = getWidth(projection.getExtent());\n        var worldsAway = getWorldsAway(coordinate, projection, worldWidth);\n        if (worldsAway) {\n            coordinate[0] -= worldsAway * worldWidth;\n        }\n    }\n    return coordinate;\n}\n/**\n * @param {Coordinate} coordinate Coordinate.\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @param {number} [opt_sourceExtentWidth] Width of the source extent.\n * @return {number} Offset in world widths.\n */\nexport function getWorldsAway(coordinate, projection, opt_sourceExtentWidth) {\n    var projectionExtent = projection.getExtent();\n    var worldsAway = 0;\n    if (projection.canWrapX() &&\n        (coordinate[0] < projectionExtent[0] || coordinate[0] > projectionExtent[2])) {\n        var sourceExtentWidth = opt_sourceExtentWidth || getWidth(projectionExtent);\n        worldsAway = Math.floor((coordinate[0] - projectionExtent[0]) / sourceExtentWidth);\n    }\n    return worldsAway;\n}\n//# sourceMappingURL=coordinate.js.map","/**\n * @module ol/proj\n */\n/**\n * The ol/proj module stores:\n * * a list of {@link module:ol/proj/Projection}\n * objects, one for each projection supported by the application\n * * a list of transform functions needed to convert coordinates in one projection\n * into another.\n *\n * The static functions are the methods used to maintain these.\n * Each transform function can handle not only simple coordinate pairs, but also\n * large arrays of coordinates such as vector geometries.\n *\n * When loaded, the library adds projection objects for EPSG:4326 (WGS84\n * geographic coordinates) and EPSG:3857 (Web or Spherical Mercator, as used\n * for example by Bing Maps or OpenStreetMap), together with the relevant\n * transform functions.\n *\n * Additional transforms may be added by using the http://proj4js.org/\n * library (version 2.2 or later). You can use the full build supplied by\n * Proj4js, or create a custom build to support those projections you need; see\n * the Proj4js website for how to do this. You also need the Proj4js definitions\n * for the required projections. These definitions can be obtained from\n * https://epsg.io/, and are a JS function, so can be loaded in a script\n * tag (as in the examples) or pasted into your application.\n *\n * After all required projection definitions are added to proj4's registry (by\n * using `proj4.defs()`), simply call `register(proj4)` from the `ol/proj/proj4`\n * package. Existing transforms are not changed by this function. See\n * examples/wms-image-custom-proj for an example of this.\n *\n * Additional projection definitions can be registered with `proj4.defs()` any\n * time. Just make sure to call `register(proj4)` again; for example, with user-supplied data where you don't\n * know in advance what projections are needed, you can initially load minimal\n * support and then load whichever are requested.\n *\n * Note that Proj4js does not support projection extents. If you want to add\n * one for creating default tile grids, you can add it after the Projection\n * object has been created with `setExtent`, for example,\n * `get('EPSG:1234').setExtent(extent)`.\n *\n * In addition to Proj4js support, any transform functions can be added with\n * {@link module:ol/proj.addCoordinateTransforms}. To use this, you must first create\n * a {@link module:ol/proj/Projection} object for the new projection and add it with\n * {@link module:ol/proj.addProjection}. You can then add the forward and inverse\n * functions with {@link module:ol/proj.addCoordinateTransforms}. See\n * examples/wms-custom-proj for an example of this.\n *\n * Note that if no transforms are needed and you only need to define the\n * projection, just add a {@link module:ol/proj/Projection} with\n * {@link module:ol/proj.addProjection}. See examples/wms-no-proj for an example of\n * this.\n */\nimport Projection from './proj/Projection.js';\nimport Units, { METERS_PER_UNIT } from './proj/Units.js';\nimport { PROJECTIONS as EPSG3857_PROJECTIONS, fromEPSG4326, toEPSG4326, } from './proj/epsg3857.js';\nimport { PROJECTIONS as EPSG4326_PROJECTIONS } from './proj/epsg4326.js';\nimport { add as addProj, clear as clearProj, get as getProj, } from './proj/projections.js';\nimport { add as addTransformFunc, clear as clearTransformFuncs, get as getTransformFunc, } from './proj/transforms.js';\nimport { applyTransform, getWidth } from './extent.js';\nimport { clamp, modulo } from './math.js';\nimport { getDistance } from './sphere.js';\nimport { getWorldsAway } from './coordinate.js';\n/**\n * A projection as {@link module:ol/proj/Projection}, SRS identifier\n * string or undefined.\n * @typedef {Projection|string|undefined} ProjectionLike\n * @api\n */\n/**\n * A transform function accepts an array of input coordinate values, an optional\n * output array, and an optional dimension (default should be 2).  The function\n * transforms the input coordinate values, populates the output array, and\n * returns the output array.\n *\n * @typedef {function(Array<number>, Array<number>=, number=): Array<number>} TransformFunction\n * @api\n */\nexport { METERS_PER_UNIT };\nexport { Projection };\n/**\n * @param {Array<number>} input Input coordinate array.\n * @param {Array<number>} [opt_output] Output array of coordinate values.\n * @param {number} [opt_dimension] Dimension.\n * @return {Array<number>} Output coordinate array (new array, same coordinate\n *     values).\n */\nexport function cloneTransform(input, opt_output, opt_dimension) {\n    var output;\n    if (opt_output !== undefined) {\n        for (var i = 0, ii = input.length; i < ii; ++i) {\n            opt_output[i] = input[i];\n        }\n        output = opt_output;\n    }\n    else {\n        output = input.slice();\n    }\n    return output;\n}\n/**\n * @param {Array<number>} input Input coordinate array.\n * @param {Array<number>} [opt_output] Output array of coordinate values.\n * @param {number} [opt_dimension] Dimension.\n * @return {Array<number>} Input coordinate array (same array as input).\n */\nexport function identityTransform(input, opt_output, opt_dimension) {\n    if (opt_output !== undefined && input !== opt_output) {\n        for (var i = 0, ii = input.length; i < ii; ++i) {\n            opt_output[i] = input[i];\n        }\n        input = opt_output;\n    }\n    return input;\n}\n/**\n * Add a Projection object to the list of supported projections that can be\n * looked up by their code.\n *\n * @param {Projection} projection Projection instance.\n * @api\n */\nexport function addProjection(projection) {\n    addProj(projection.getCode(), projection);\n    addTransformFunc(projection, projection, cloneTransform);\n}\n/**\n * @param {Array<Projection>} projections Projections.\n */\nexport function addProjections(projections) {\n    projections.forEach(addProjection);\n}\n/**\n * Fetches a Projection object for the code specified.\n *\n * @param {ProjectionLike} projectionLike Either a code string which is\n *     a combination of authority and identifier such as \"EPSG:4326\", or an\n *     existing projection object, or undefined.\n * @return {Projection} Projection object, or null if not in list.\n * @api\n */\nexport function get(projectionLike) {\n    return typeof projectionLike === 'string'\n        ? getProj(/** @type {string} */ (projectionLike))\n        : /** @type {Projection} */ (projectionLike) || null;\n}\n/**\n * Get the resolution of the point in degrees or distance units.\n * For projections with degrees as the unit this will simply return the\n * provided resolution. For other projections the point resolution is\n * by default estimated by transforming the 'point' pixel to EPSG:4326,\n * measuring its width and height on the normal sphere,\n * and taking the average of the width and height.\n * A custom function can be provided for a specific projection, either\n * by setting the `getPointResolution` option in the\n * {@link module:ol/proj/Projection~Projection} constructor or by using\n * {@link module:ol/proj/Projection~Projection#setGetPointResolution} to change an existing\n * projection object.\n * @param {ProjectionLike} projection The projection.\n * @param {number} resolution Nominal resolution in projection units.\n * @param {import(\"./coordinate.js\").Coordinate} point Point to find adjusted resolution at.\n * @param {import(\"./proj/Units.js\").default} [opt_units] Units to get the point resolution in.\n * Default is the projection's units.\n * @return {number} Point resolution.\n * @api\n */\nexport function getPointResolution(projection, resolution, point, opt_units) {\n    projection = get(projection);\n    var pointResolution;\n    var getter = projection.getPointResolutionFunc();\n    if (getter) {\n        pointResolution = getter(resolution, point);\n        if (opt_units && opt_units !== projection.getUnits()) {\n            var metersPerUnit = projection.getMetersPerUnit();\n            if (metersPerUnit) {\n                pointResolution =\n                    (pointResolution * metersPerUnit) / METERS_PER_UNIT[opt_units];\n            }\n        }\n    }\n    else {\n        var units = projection.getUnits();\n        if ((units == Units.DEGREES && !opt_units) || opt_units == Units.DEGREES) {\n            pointResolution = resolution;\n        }\n        else {\n            // Estimate point resolution by transforming the center pixel to EPSG:4326,\n            // measuring its width and height on the normal sphere, and taking the\n            // average of the width and height.\n            var toEPSG4326_1 = getTransformFromProjections(projection, get('EPSG:4326'));\n            if (toEPSG4326_1 === identityTransform && units !== Units.DEGREES) {\n                // no transform is available\n                pointResolution = resolution * projection.getMetersPerUnit();\n            }\n            else {\n                var vertices = [\n                    point[0] - resolution / 2,\n                    point[1],\n                    point[0] + resolution / 2,\n                    point[1],\n                    point[0],\n                    point[1] - resolution / 2,\n                    point[0],\n                    point[1] + resolution / 2,\n                ];\n                vertices = toEPSG4326_1(vertices, vertices, 2);\n                var width = getDistance(vertices.slice(0, 2), vertices.slice(2, 4));\n                var height = getDistance(vertices.slice(4, 6), vertices.slice(6, 8));\n                pointResolution = (width + height) / 2;\n            }\n            var metersPerUnit = opt_units\n                ? METERS_PER_UNIT[opt_units]\n                : projection.getMetersPerUnit();\n            if (metersPerUnit !== undefined) {\n                pointResolution /= metersPerUnit;\n            }\n        }\n    }\n    return pointResolution;\n}\n/**\n * Registers transformation functions that don't alter coordinates. Those allow\n * to transform between projections with equal meaning.\n *\n * @param {Array<Projection>} projections Projections.\n * @api\n */\nexport function addEquivalentProjections(projections) {\n    addProjections(projections);\n    projections.forEach(function (source) {\n        projections.forEach(function (destination) {\n            if (source !== destination) {\n                addTransformFunc(source, destination, cloneTransform);\n            }\n        });\n    });\n}\n/**\n * Registers transformation functions to convert coordinates in any projection\n * in projection1 to any projection in projection2.\n *\n * @param {Array<Projection>} projections1 Projections with equal\n *     meaning.\n * @param {Array<Projection>} projections2 Projections with equal\n *     meaning.\n * @param {TransformFunction} forwardTransform Transformation from any\n *   projection in projection1 to any projection in projection2.\n * @param {TransformFunction} inverseTransform Transform from any projection\n *   in projection2 to any projection in projection1..\n */\nexport function addEquivalentTransforms(projections1, projections2, forwardTransform, inverseTransform) {\n    projections1.forEach(function (projection1) {\n        projections2.forEach(function (projection2) {\n            addTransformFunc(projection1, projection2, forwardTransform);\n            addTransformFunc(projection2, projection1, inverseTransform);\n        });\n    });\n}\n/**\n * Clear all cached projections and transforms.\n */\nexport function clearAllProjections() {\n    clearProj();\n    clearTransformFuncs();\n}\n/**\n * @param {Projection|string|undefined} projection Projection.\n * @param {string} defaultCode Default code.\n * @return {Projection} Projection.\n */\nexport function createProjection(projection, defaultCode) {\n    if (!projection) {\n        return get(defaultCode);\n    }\n    else if (typeof projection === 'string') {\n        return get(projection);\n    }\n    else {\n        return /** @type {Projection} */ (projection);\n    }\n}\n/**\n * Creates a {@link module:ol/proj~TransformFunction} from a simple 2D coordinate transform\n * function.\n * @param {function(import(\"./coordinate.js\").Coordinate): import(\"./coordinate.js\").Coordinate} coordTransform Coordinate\n *     transform.\n * @return {TransformFunction} Transform function.\n */\nexport function createTransformFromCoordinateTransform(coordTransform) {\n    return (\n    /**\n     * @param {Array<number>} input Input.\n     * @param {Array<number>} [opt_output] Output.\n     * @param {number} [opt_dimension] Dimension.\n     * @return {Array<number>} Output.\n     */\n    function (input, opt_output, opt_dimension) {\n        var length = input.length;\n        var dimension = opt_dimension !== undefined ? opt_dimension : 2;\n        var output = opt_output !== undefined ? opt_output : new Array(length);\n        for (var i = 0; i < length; i += dimension) {\n            var point = coordTransform([input[i], input[i + 1]]);\n            output[i] = point[0];\n            output[i + 1] = point[1];\n            for (var j = dimension - 1; j >= 2; --j) {\n                output[i + j] = input[i + j];\n            }\n        }\n        return output;\n    });\n}\n/**\n * Registers coordinate transform functions to convert coordinates between the\n * source projection and the destination projection.\n * The forward and inverse functions convert coordinate pairs; this function\n * converts these into the functions used internally which also handle\n * extents and coordinate arrays.\n *\n * @param {ProjectionLike} source Source projection.\n * @param {ProjectionLike} destination Destination projection.\n * @param {function(import(\"./coordinate.js\").Coordinate): import(\"./coordinate.js\").Coordinate} forward The forward transform\n *     function (that is, from the source projection to the destination\n *     projection) that takes a {@link module:ol/coordinate~Coordinate} as argument and returns\n *     the transformed {@link module:ol/coordinate~Coordinate}.\n * @param {function(import(\"./coordinate.js\").Coordinate): import(\"./coordinate.js\").Coordinate} inverse The inverse transform\n *     function (that is, from the destination projection to the source\n *     projection) that takes a {@link module:ol/coordinate~Coordinate} as argument and returns\n *     the transformed {@link module:ol/coordinate~Coordinate}.\n * @api\n */\nexport function addCoordinateTransforms(source, destination, forward, inverse) {\n    var sourceProj = get(source);\n    var destProj = get(destination);\n    addTransformFunc(sourceProj, destProj, createTransformFromCoordinateTransform(forward));\n    addTransformFunc(destProj, sourceProj, createTransformFromCoordinateTransform(inverse));\n}\n/**\n * Transforms a coordinate from longitude/latitude to a different projection.\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate as longitude and latitude, i.e.\n *     an array with longitude as 1st and latitude as 2nd element.\n * @param {ProjectionLike} [opt_projection] Target projection. The\n *     default is Web Mercator, i.e. 'EPSG:3857'.\n * @return {import(\"./coordinate.js\").Coordinate} Coordinate projected to the target projection.\n * @api\n */\nexport function fromLonLat(coordinate, opt_projection) {\n    return transform(coordinate, 'EPSG:4326', opt_projection !== undefined ? opt_projection : 'EPSG:3857');\n}\n/**\n * Transforms a coordinate to longitude/latitude.\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Projected coordinate.\n * @param {ProjectionLike} [opt_projection] Projection of the coordinate.\n *     The default is Web Mercator, i.e. 'EPSG:3857'.\n * @return {import(\"./coordinate.js\").Coordinate} Coordinate as longitude and latitude, i.e. an array\n *     with longitude as 1st and latitude as 2nd element.\n * @api\n */\nexport function toLonLat(coordinate, opt_projection) {\n    var lonLat = transform(coordinate, opt_projection !== undefined ? opt_projection : 'EPSG:3857', 'EPSG:4326');\n    var lon = lonLat[0];\n    if (lon < -180 || lon > 180) {\n        lonLat[0] = modulo(lon + 180, 360) - 180;\n    }\n    return lonLat;\n}\n/**\n * Checks if two projections are the same, that is every coordinate in one\n * projection does represent the same geographic point as the same coordinate in\n * the other projection.\n *\n * @param {Projection} projection1 Projection 1.\n * @param {Projection} projection2 Projection 2.\n * @return {boolean} Equivalent.\n * @api\n */\nexport function equivalent(projection1, projection2) {\n    if (projection1 === projection2) {\n        return true;\n    }\n    var equalUnits = projection1.getUnits() === projection2.getUnits();\n    if (projection1.getCode() === projection2.getCode()) {\n        return equalUnits;\n    }\n    else {\n        var transformFunc = getTransformFromProjections(projection1, projection2);\n        return transformFunc === cloneTransform && equalUnits;\n    }\n}\n/**\n * Searches in the list of transform functions for the function for converting\n * coordinates from the source projection to the destination projection.\n *\n * @param {Projection} sourceProjection Source Projection object.\n * @param {Projection} destinationProjection Destination Projection\n *     object.\n * @return {TransformFunction} Transform function.\n */\nexport function getTransformFromProjections(sourceProjection, destinationProjection) {\n    var sourceCode = sourceProjection.getCode();\n    var destinationCode = destinationProjection.getCode();\n    var transformFunc = getTransformFunc(sourceCode, destinationCode);\n    if (!transformFunc) {\n        transformFunc = identityTransform;\n    }\n    return transformFunc;\n}\n/**\n * Given the projection-like objects, searches for a transformation\n * function to convert a coordinates array from the source projection to the\n * destination projection.\n *\n * @param {ProjectionLike} source Source.\n * @param {ProjectionLike} destination Destination.\n * @return {TransformFunction} Transform function.\n * @api\n */\nexport function getTransform(source, destination) {\n    var sourceProjection = get(source);\n    var destinationProjection = get(destination);\n    return getTransformFromProjections(sourceProjection, destinationProjection);\n}\n/**\n * Transforms a coordinate from source projection to destination projection.\n * This returns a new coordinate (and does not modify the original).\n *\n * See {@link module:ol/proj.transformExtent} for extent transformation.\n * See the transform method of {@link module:ol/geom/Geometry~Geometry} and its\n * subclasses for geometry transforms.\n *\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n * @param {ProjectionLike} source Source projection-like.\n * @param {ProjectionLike} destination Destination projection-like.\n * @return {import(\"./coordinate.js\").Coordinate} Coordinate.\n * @api\n */\nexport function transform(coordinate, source, destination) {\n    var transformFunc = getTransform(source, destination);\n    return transformFunc(coordinate, undefined, coordinate.length);\n}\n/**\n * Transforms an extent from source projection to destination projection.  This\n * returns a new extent (and does not modify the original).\n *\n * @param {import(\"./extent.js\").Extent} extent The extent to transform.\n * @param {ProjectionLike} source Source projection-like.\n * @param {ProjectionLike} destination Destination projection-like.\n * @param {number} [opt_stops] Number of stops per side used for the transform.\n * By default only the corners are used.\n * @return {import(\"./extent.js\").Extent} The transformed extent.\n * @api\n */\nexport function transformExtent(extent, source, destination, opt_stops) {\n    var transformFunc = getTransform(source, destination);\n    return applyTransform(extent, transformFunc, undefined, opt_stops);\n}\n/**\n * Transforms the given point to the destination projection.\n *\n * @param {import(\"./coordinate.js\").Coordinate} point Point.\n * @param {Projection} sourceProjection Source projection.\n * @param {Projection} destinationProjection Destination projection.\n * @return {import(\"./coordinate.js\").Coordinate} Point.\n */\nexport function transformWithProjections(point, sourceProjection, destinationProjection) {\n    var transformFunc = getTransformFromProjections(sourceProjection, destinationProjection);\n    return transformFunc(point);\n}\n/**\n * @type {?Projection}\n */\nvar userProjection = null;\n/**\n * Set the projection for coordinates supplied from and returned by API methods.\n * Note that this method is not yet a part of the stable API.  Support for user\n * projections is not yet complete and should be considered experimental.\n * @param {ProjectionLike} projection The user projection.\n */\nexport function setUserProjection(projection) {\n    userProjection = get(projection);\n}\n/**\n * Clear the user projection if set.  Note that this method is not yet a part of\n * the stable API.  Support for user projections is not yet complete and should\n * be considered experimental.\n */\nexport function clearUserProjection() {\n    userProjection = null;\n}\n/**\n * Get the projection for coordinates supplied from and returned by API methods.\n * Note that this method is not yet a part of the stable API.  Support for user\n * projections is not yet complete and should be considered experimental.\n * @return {?Projection} The user projection (or null if not set).\n */\nexport function getUserProjection() {\n    return userProjection;\n}\n/**\n * Use geographic coordinates (WGS-84 datum) in API methods.  Note that this\n * method is not yet a part of the stable API.  Support for user projections is\n * not yet complete and should be considered experimental.\n */\nexport function useGeographic() {\n    setUserProjection('EPSG:4326');\n}\n/**\n * Return a coordinate transformed into the user projection.  If no user projection\n * is set, the original coordinate is returned.\n * @param {Array<number>} coordinate Input coordinate.\n * @param {ProjectionLike} sourceProjection The input coordinate projection.\n * @return {Array<number>} The input coordinate in the user projection.\n */\nexport function toUserCoordinate(coordinate, sourceProjection) {\n    if (!userProjection) {\n        return coordinate;\n    }\n    return transform(coordinate, sourceProjection, userProjection);\n}\n/**\n * Return a coordinate transformed from the user projection.  If no user projection\n * is set, the original coordinate is returned.\n * @param {Array<number>} coordinate Input coordinate.\n * @param {ProjectionLike} destProjection The destination projection.\n * @return {Array<number>} The input coordinate transformed.\n */\nexport function fromUserCoordinate(coordinate, destProjection) {\n    if (!userProjection) {\n        return coordinate;\n    }\n    return transform(coordinate, userProjection, destProjection);\n}\n/**\n * Return an extent transformed into the user projection.  If no user projection\n * is set, the original extent is returned.\n * @param {import(\"./extent.js\").Extent} extent Input extent.\n * @param {ProjectionLike} sourceProjection The input extent projection.\n * @return {import(\"./extent.js\").Extent} The input extent in the user projection.\n */\nexport function toUserExtent(extent, sourceProjection) {\n    if (!userProjection) {\n        return extent;\n    }\n    return transformExtent(extent, sourceProjection, userProjection);\n}\n/**\n * Return an extent transformed from the user projection.  If no user projection\n * is set, the original extent is returned.\n * @param {import(\"./extent.js\").Extent} extent Input extent.\n * @param {ProjectionLike} destProjection The destination projection.\n * @return {import(\"./extent.js\").Extent} The input extent transformed.\n */\nexport function fromUserExtent(extent, destProjection) {\n    if (!userProjection) {\n        return extent;\n    }\n    return transformExtent(extent, userProjection, destProjection);\n}\n/**\n * Return the resolution in user projection units per pixel. If no user projection\n * is set, or source or user projection are missing units, the original resolution\n * is returned.\n * @param {number} resolution Resolution in input projection units per pixel.\n * @param {ProjectionLike} sourceProjection The input projection.\n * @return {number} Resolution in user projection units per pixel.\n */\nexport function toUserResolution(resolution, sourceProjection) {\n    if (!userProjection) {\n        return resolution;\n    }\n    var sourceUnits = get(sourceProjection).getUnits();\n    var userUnits = userProjection.getUnits();\n    return sourceUnits && userUnits\n        ? (resolution * METERS_PER_UNIT[sourceUnits]) / METERS_PER_UNIT[userUnits]\n        : resolution;\n}\n/**\n * Return the resolution in user projection units per pixel. If no user projection\n * is set, or source or user projection are missing units, the original resolution\n * is returned.\n * @param {number} resolution Resolution in user projection units per pixel.\n * @param {ProjectionLike} destProjection The destination projection.\n * @return {number} Resolution in destination projection units per pixel.\n */\nexport function fromUserResolution(resolution, destProjection) {\n    if (!userProjection) {\n        return resolution;\n    }\n    var sourceUnits = get(destProjection).getUnits();\n    var userUnits = userProjection.getUnits();\n    return sourceUnits && userUnits\n        ? (resolution * METERS_PER_UNIT[userUnits]) / METERS_PER_UNIT[sourceUnits]\n        : resolution;\n}\n/**\n * Creates a safe coordinate transform function from a coordinate transform function.\n * \"Safe\" means that it can handle wrapping of x-coordinates for global projections,\n * and that coordinates exceeding the source projection validity extent's range will be\n * clamped to the validity range.\n * @param {Projection} sourceProj Source projection.\n * @param {Projection} destProj Destination projection.\n * @param {function(import(\"./coordinate.js\").Coordinate): import(\"./coordinate.js\").Coordinate} transform Transform function (source to destiation).\n * @return {function(import(\"./coordinate.js\").Coordinate): import(\"./coordinate.js\").Coordinate} Safe transform function (source to destiation).\n */\nexport function createSafeCoordinateTransform(sourceProj, destProj, transform) {\n    return function (coord) {\n        var sourceX = coord[0];\n        var sourceY = coord[1];\n        var transformed, worldsAway;\n        if (sourceProj.canWrapX()) {\n            var sourceExtent = sourceProj.getExtent();\n            var sourceExtentWidth = getWidth(sourceExtent);\n            worldsAway = getWorldsAway(coord, sourceProj, sourceExtentWidth);\n            if (worldsAway) {\n                // Move x to the real world\n                sourceX = sourceX - worldsAway * sourceExtentWidth;\n            }\n            sourceX = clamp(sourceX, sourceExtent[0], sourceExtent[2]);\n            sourceY = clamp(sourceY, sourceExtent[1], sourceExtent[3]);\n            transformed = transform([sourceX, sourceY]);\n        }\n        else {\n            transformed = transform(coord);\n        }\n        if (worldsAway && destProj.canWrapX()) {\n            // Move transformed coordinate back to the offset world\n            transformed[0] += worldsAway * getWidth(destProj.getExtent());\n        }\n        return transformed;\n    };\n}\n/**\n * Add transforms to and from EPSG:4326 and EPSG:3857.  This function is called\n * by when this module is executed and should only need to be called again after\n * `clearAllProjections()` is called (e.g. in tests).\n */\nexport function addCommon() {\n    // Add transformations that don't alter coordinates to convert within set of\n    // projections with equal meaning.\n    addEquivalentProjections(EPSG3857_PROJECTIONS);\n    addEquivalentProjections(EPSG4326_PROJECTIONS);\n    // Add transformations to convert EPSG:4326 like coordinates to EPSG:3857 like\n    // coordinates and back.\n    addEquivalentTransforms(EPSG4326_PROJECTIONS, EPSG3857_PROJECTIONS, fromEPSG4326, toEPSG4326);\n}\naddCommon();\n//# sourceMappingURL=proj.js.map","/**\n * @module ol/geom/flat/transform\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {import(\"../../transform.js\").Transform} transform Transform.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Transformed coordinates.\n */\nexport function transform2D(flatCoordinates, offset, end, stride, transform, opt_dest) {\n    var dest = opt_dest ? opt_dest : [];\n    var i = 0;\n    for (var j = offset; j < end; j += stride) {\n        var x = flatCoordinates[j];\n        var y = flatCoordinates[j + 1];\n        dest[i++] = transform[0] * x + transform[2] * y + transform[4];\n        dest[i++] = transform[1] * x + transform[3] * y + transform[5];\n    }\n    if (opt_dest && dest.length != i) {\n        dest.length = i;\n    }\n    return dest;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} angle Angle.\n * @param {Array<number>} anchor Rotation anchor point.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Transformed coordinates.\n */\nexport function rotate(flatCoordinates, offset, end, stride, angle, anchor, opt_dest) {\n    var dest = opt_dest ? opt_dest : [];\n    var cos = Math.cos(angle);\n    var sin = Math.sin(angle);\n    var anchorX = anchor[0];\n    var anchorY = anchor[1];\n    var i = 0;\n    for (var j = offset; j < end; j += stride) {\n        var deltaX = flatCoordinates[j] - anchorX;\n        var deltaY = flatCoordinates[j + 1] - anchorY;\n        dest[i++] = anchorX + deltaX * cos - deltaY * sin;\n        dest[i++] = anchorY + deltaX * sin + deltaY * cos;\n        for (var k = j + 2; k < j + stride; ++k) {\n            dest[i++] = flatCoordinates[k];\n        }\n    }\n    if (opt_dest && dest.length != i) {\n        dest.length = i;\n    }\n    return dest;\n}\n/**\n * Scale the coordinates.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} sx Scale factor in the x-direction.\n * @param {number} sy Scale factor in the y-direction.\n * @param {Array<number>} anchor Scale anchor point.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Transformed coordinates.\n */\nexport function scale(flatCoordinates, offset, end, stride, sx, sy, anchor, opt_dest) {\n    var dest = opt_dest ? opt_dest : [];\n    var anchorX = anchor[0];\n    var anchorY = anchor[1];\n    var i = 0;\n    for (var j = offset; j < end; j += stride) {\n        var deltaX = flatCoordinates[j] - anchorX;\n        var deltaY = flatCoordinates[j + 1] - anchorY;\n        dest[i++] = anchorX + sx * deltaX;\n        dest[i++] = anchorY + sy * deltaY;\n        for (var k = j + 2; k < j + stride; ++k) {\n            dest[i++] = flatCoordinates[k];\n        }\n    }\n    if (opt_dest && dest.length != i) {\n        dest.length = i;\n    }\n    return dest;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} deltaX Delta X.\n * @param {number} deltaY Delta Y.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Transformed coordinates.\n */\nexport function translate(flatCoordinates, offset, end, stride, deltaX, deltaY, opt_dest) {\n    var dest = opt_dest ? opt_dest : [];\n    var i = 0;\n    for (var j = offset; j < end; j += stride) {\n        dest[i++] = flatCoordinates[j] + deltaX;\n        dest[i++] = flatCoordinates[j + 1] + deltaY;\n        for (var k = j + 2; k < j + stride; ++k) {\n            dest[i++] = flatCoordinates[k];\n        }\n    }\n    if (opt_dest && dest.length != i) {\n        dest.length = i;\n    }\n    return dest;\n}\n//# sourceMappingURL=transform.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/Geometry\n */\nimport BaseObject from '../Object.js';\nimport Units from '../proj/Units.js';\nimport { abstract } from '../util.js';\nimport { compose as composeTransform, create as createTransform, } from '../transform.js';\nimport { createEmpty, createOrUpdateEmpty, getHeight, returnOrUpdate, } from '../extent.js';\nimport { get as getProjection, getTransform } from '../proj.js';\nimport { memoizeOne } from '../functions.js';\nimport { transform2D } from './flat/transform.js';\n/**\n * @type {import(\"../transform.js\").Transform}\n */\nvar tmpTransform = createTransform();\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for vector geometries.\n *\n * To get notified of changes to the geometry, register a listener for the\n * generic `change` event on your geometry instance.\n *\n * @abstract\n * @api\n */\nvar Geometry = /** @class */ (function (_super) {\n    __extends(Geometry, _super);\n    function Geometry() {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        _this.extent_ = createEmpty();\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.extentRevision_ = -1;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.simplifiedGeometryMaxMinSquaredTolerance = 0;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.simplifiedGeometryRevision = 0;\n        /**\n         * Get a transformed and simplified version of the geometry.\n         * @abstract\n         * @param {number} revision The geometry revision.\n         * @param {number} squaredTolerance Squared tolerance.\n         * @param {import(\"../proj.js\").TransformFunction} [opt_transform] Optional transform function.\n         * @return {Geometry} Simplified geometry.\n         */\n        _this.simplifyTransformedInternal = memoizeOne(function (revision, squaredTolerance, opt_transform) {\n            if (!opt_transform) {\n                return this.getSimplifiedGeometry(squaredTolerance);\n            }\n            var clone = this.clone();\n            clone.applyTransform(opt_transform);\n            return clone.getSimplifiedGeometry(squaredTolerance);\n        });\n        return _this;\n    }\n    /**\n     * Get a transformed and simplified version of the geometry.\n     * @abstract\n     * @param {number} squaredTolerance Squared tolerance.\n     * @param {import(\"../proj.js\").TransformFunction} [opt_transform] Optional transform function.\n     * @return {Geometry} Simplified geometry.\n     */\n    Geometry.prototype.simplifyTransformed = function (squaredTolerance, opt_transform) {\n        return this.simplifyTransformedInternal(this.getRevision(), squaredTolerance, opt_transform);\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @abstract\n     * @return {!Geometry} Clone.\n     */\n    Geometry.prototype.clone = function () {\n        return abstract();\n    };\n    /**\n     * @abstract\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    Geometry.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        return abstract();\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @return {boolean} Contains (x, y).\n     */\n    Geometry.prototype.containsXY = function (x, y) {\n        var coord = this.getClosestPoint([x, y]);\n        return coord[0] === x && coord[1] === y;\n    };\n    /**\n     * Return the closest point of the geometry to the passed point as\n     * {@link module:ol/coordinate~Coordinate coordinate}.\n     * @param {import(\"../coordinate.js\").Coordinate} point Point.\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_closestPoint] Closest point.\n     * @return {import(\"../coordinate.js\").Coordinate} Closest point.\n     * @api\n     */\n    Geometry.prototype.getClosestPoint = function (point, opt_closestPoint) {\n        var closestPoint = opt_closestPoint ? opt_closestPoint : [NaN, NaN];\n        this.closestPointXY(point[0], point[1], closestPoint, Infinity);\n        return closestPoint;\n    };\n    /**\n     * Returns true if this geometry includes the specified coordinate. If the\n     * coordinate is on the boundary of the geometry, returns false.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @return {boolean} Contains coordinate.\n     * @api\n     */\n    Geometry.prototype.intersectsCoordinate = function (coordinate) {\n        return this.containsXY(coordinate[0], coordinate[1]);\n    };\n    /**\n     * @abstract\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @protected\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     */\n    Geometry.prototype.computeExtent = function (extent) {\n        return abstract();\n    };\n    /**\n     * Get the extent of the geometry.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Extent.\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     * @api\n     */\n    Geometry.prototype.getExtent = function (opt_extent) {\n        if (this.extentRevision_ != this.getRevision()) {\n            var extent = this.computeExtent(this.extent_);\n            if (isNaN(extent[0]) || isNaN(extent[1])) {\n                createOrUpdateEmpty(extent);\n            }\n            this.extentRevision_ = this.getRevision();\n        }\n        return returnOrUpdate(this.extent_, opt_extent);\n    };\n    /**\n     * Rotate the geometry around a given coordinate. This modifies the geometry\n     * coordinates in place.\n     * @abstract\n     * @param {number} angle Rotation angle in radians.\n     * @param {import(\"../coordinate.js\").Coordinate} anchor The rotation center.\n     * @api\n     */\n    Geometry.prototype.rotate = function (angle, anchor) {\n        abstract();\n    };\n    /**\n     * Scale the geometry (with an optional origin).  This modifies the geometry\n     * coordinates in place.\n     * @abstract\n     * @param {number} sx The scaling factor in the x-direction.\n     * @param {number} [opt_sy] The scaling factor in the y-direction (defaults to sx).\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_anchor] The scale origin (defaults to the center\n     *     of the geometry extent).\n     * @api\n     */\n    Geometry.prototype.scale = function (sx, opt_sy, opt_anchor) {\n        abstract();\n    };\n    /**\n     * Create a simplified version of this geometry.  For linestrings, this uses\n     * the [Douglas Peucker](https://en.wikipedia.org/wiki/Ramer-Douglas-Peucker_algorithm)\n     * algorithm.  For polygons, a quantization-based\n     * simplification is used to preserve topology.\n     * @param {number} tolerance The tolerance distance for simplification.\n     * @return {Geometry} A new, simplified version of the original geometry.\n     * @api\n     */\n    Geometry.prototype.simplify = function (tolerance) {\n        return this.getSimplifiedGeometry(tolerance * tolerance);\n    };\n    /**\n     * Create a simplified version of this geometry using the Douglas Peucker\n     * algorithm.\n     * See https://en.wikipedia.org/wiki/Ramer-Douglas-Peucker_algorithm.\n     * @abstract\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {Geometry} Simplified geometry.\n     */\n    Geometry.prototype.getSimplifiedGeometry = function (squaredTolerance) {\n        return abstract();\n    };\n    /**\n     * Get the type of this geometry.\n     * @abstract\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     */\n    Geometry.prototype.getType = function () {\n        return abstract();\n    };\n    /**\n     * Apply a transform function to the coordinates of the geometry.\n     * The geometry is modified in place.\n     * If you do not want the geometry modified in place, first `clone()` it and\n     * then use this function on the clone.\n     * @abstract\n     * @param {import(\"../proj.js\").TransformFunction} transformFn Transform function.\n     * Called with a flat array of geometry coordinates.\n     */\n    Geometry.prototype.applyTransform = function (transformFn) {\n        abstract();\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @abstract\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     */\n    Geometry.prototype.intersectsExtent = function (extent) {\n        return abstract();\n    };\n    /**\n     * Translate the geometry.  This modifies the geometry coordinates in place.  If\n     * instead you want a new geometry, first `clone()` this geometry.\n     * @abstract\n     * @param {number} deltaX Delta X.\n     * @param {number} deltaY Delta Y.\n     * @api\n     */\n    Geometry.prototype.translate = function (deltaX, deltaY) {\n        abstract();\n    };\n    /**\n     * Transform each coordinate of the geometry from one coordinate reference\n     * system to another. The geometry is modified in place.\n     * For example, a line will be transformed to a line and a circle to a circle.\n     * If you do not want the geometry modified in place, first `clone()` it and\n     * then use this function on the clone.\n     *\n     * @param {import(\"../proj.js\").ProjectionLike} source The current projection.  Can be a\n     *     string identifier or a {@link module:ol/proj/Projection~Projection} object.\n     * @param {import(\"../proj.js\").ProjectionLike} destination The desired projection.  Can be a\n     *     string identifier or a {@link module:ol/proj/Projection~Projection} object.\n     * @return {Geometry} This geometry.  Note that original geometry is\n     *     modified in place.\n     * @api\n     */\n    Geometry.prototype.transform = function (source, destination) {\n        /** @type {import(\"../proj/Projection.js\").default} */\n        var sourceProj = getProjection(source);\n        var transformFn = sourceProj.getUnits() == Units.TILE_PIXELS\n            ? function (inCoordinates, outCoordinates, stride) {\n                var pixelExtent = sourceProj.getExtent();\n                var projectedExtent = sourceProj.getWorldExtent();\n                var scale = getHeight(projectedExtent) / getHeight(pixelExtent);\n                composeTransform(tmpTransform, projectedExtent[0], projectedExtent[3], scale, -scale, 0, 0, 0);\n                transform2D(inCoordinates, 0, inCoordinates.length, stride, tmpTransform, outCoordinates);\n                return getTransform(sourceProj, destination)(inCoordinates, outCoordinates, stride);\n            }\n            : getTransform(sourceProj, destination);\n        this.applyTransform(transformFn);\n        return this;\n    };\n    return Geometry;\n}(BaseObject));\nexport default Geometry;\n//# sourceMappingURL=Geometry.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/SimpleGeometry\n */\nimport Geometry from './Geometry.js';\nimport GeometryLayout from './GeometryLayout.js';\nimport { abstract } from '../util.js';\nimport { createOrUpdateFromFlatCoordinates, getCenter } from '../extent.js';\nimport { rotate, scale, transform2D, translate } from './flat/transform.js';\n/**\n * @classdesc\n * Abstract base class; only used for creating subclasses; do not instantiate\n * in apps, as cannot be rendered.\n *\n * @abstract\n * @api\n */\nvar SimpleGeometry = /** @class */ (function (_super) {\n    __extends(SimpleGeometry, _super);\n    function SimpleGeometry() {\n        var _this = _super.call(this) || this;\n        /**\n         * @protected\n         * @type {import(\"./GeometryLayout.js\").default}\n         */\n        _this.layout = GeometryLayout.XY;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.stride = 2;\n        /**\n         * @protected\n         * @type {Array<number>}\n         */\n        _this.flatCoordinates = null;\n        return _this;\n    }\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @protected\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     */\n    SimpleGeometry.prototype.computeExtent = function (extent) {\n        return createOrUpdateFromFlatCoordinates(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, extent);\n    };\n    /**\n     * @abstract\n     * @return {Array<*>} Coordinates.\n     */\n    SimpleGeometry.prototype.getCoordinates = function () {\n        return abstract();\n    };\n    /**\n     * Return the first coordinate of the geometry.\n     * @return {import(\"../coordinate.js\").Coordinate} First coordinate.\n     * @api\n     */\n    SimpleGeometry.prototype.getFirstCoordinate = function () {\n        return this.flatCoordinates.slice(0, this.stride);\n    };\n    /**\n     * @return {Array<number>} Flat coordinates.\n     */\n    SimpleGeometry.prototype.getFlatCoordinates = function () {\n        return this.flatCoordinates;\n    };\n    /**\n     * Return the last coordinate of the geometry.\n     * @return {import(\"../coordinate.js\").Coordinate} Last point.\n     * @api\n     */\n    SimpleGeometry.prototype.getLastCoordinate = function () {\n        return this.flatCoordinates.slice(this.flatCoordinates.length - this.stride);\n    };\n    /**\n     * Return the {@link module:ol/geom/GeometryLayout layout} of the geometry.\n     * @return {import(\"./GeometryLayout.js\").default} Layout.\n     * @api\n     */\n    SimpleGeometry.prototype.getLayout = function () {\n        return this.layout;\n    };\n    /**\n     * Create a simplified version of this geometry using the Douglas Peucker algorithm.\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {SimpleGeometry} Simplified geometry.\n     */\n    SimpleGeometry.prototype.getSimplifiedGeometry = function (squaredTolerance) {\n        if (this.simplifiedGeometryRevision !== this.getRevision()) {\n            this.simplifiedGeometryMaxMinSquaredTolerance = 0;\n            this.simplifiedGeometryRevision = this.getRevision();\n        }\n        // If squaredTolerance is negative or if we know that simplification will not\n        // have any effect then just return this.\n        if (squaredTolerance < 0 ||\n            (this.simplifiedGeometryMaxMinSquaredTolerance !== 0 &&\n                squaredTolerance <= this.simplifiedGeometryMaxMinSquaredTolerance)) {\n            return this;\n        }\n        var simplifiedGeometry = this.getSimplifiedGeometryInternal(squaredTolerance);\n        var simplifiedFlatCoordinates = simplifiedGeometry.getFlatCoordinates();\n        if (simplifiedFlatCoordinates.length < this.flatCoordinates.length) {\n            return simplifiedGeometry;\n        }\n        else {\n            // Simplification did not actually remove any coordinates.  We now know\n            // that any calls to getSimplifiedGeometry with a squaredTolerance less\n            // than or equal to the current squaredTolerance will also not have any\n            // effect.  This allows us to short circuit simplification (saving CPU\n            // cycles) and prevents the cache of simplified geometries from filling\n            // up with useless identical copies of this geometry (saving memory).\n            this.simplifiedGeometryMaxMinSquaredTolerance = squaredTolerance;\n            return this;\n        }\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {SimpleGeometry} Simplified geometry.\n     * @protected\n     */\n    SimpleGeometry.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        return this;\n    };\n    /**\n     * @return {number} Stride.\n     */\n    SimpleGeometry.prototype.getStride = function () {\n        return this.stride;\n    };\n    /**\n     * @param {import(\"./GeometryLayout.js\").default} layout Layout.\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     */\n    SimpleGeometry.prototype.setFlatCoordinates = function (layout, flatCoordinates) {\n        this.stride = getStrideForLayout(layout);\n        this.layout = layout;\n        this.flatCoordinates = flatCoordinates;\n    };\n    /**\n     * @abstract\n     * @param {!Array<*>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    SimpleGeometry.prototype.setCoordinates = function (coordinates, opt_layout) {\n        abstract();\n    };\n    /**\n     * @param {import(\"./GeometryLayout.js\").default|undefined} layout Layout.\n     * @param {Array<*>} coordinates Coordinates.\n     * @param {number} nesting Nesting.\n     * @protected\n     */\n    SimpleGeometry.prototype.setLayout = function (layout, coordinates, nesting) {\n        /** @type {number} */\n        var stride;\n        if (layout) {\n            stride = getStrideForLayout(layout);\n        }\n        else {\n            for (var i = 0; i < nesting; ++i) {\n                if (coordinates.length === 0) {\n                    this.layout = GeometryLayout.XY;\n                    this.stride = 2;\n                    return;\n                }\n                else {\n                    coordinates = /** @type {Array} */ (coordinates[0]);\n                }\n            }\n            stride = coordinates.length;\n            layout = getLayoutForStride(stride);\n        }\n        this.layout = layout;\n        this.stride = stride;\n    };\n    /**\n     * Apply a transform function to the coordinates of the geometry.\n     * The geometry is modified in place.\n     * If you do not want the geometry modified in place, first `clone()` it and\n     * then use this function on the clone.\n     * @param {import(\"../proj.js\").TransformFunction} transformFn Transform function.\n     * Called with a flat array of geometry coordinates.\n     * @api\n     */\n    SimpleGeometry.prototype.applyTransform = function (transformFn) {\n        if (this.flatCoordinates) {\n            transformFn(this.flatCoordinates, this.flatCoordinates, this.stride);\n            this.changed();\n        }\n    };\n    /**\n     * Rotate the geometry around a given coordinate. This modifies the geometry\n     * coordinates in place.\n     * @param {number} angle Rotation angle in counter-clockwise radians.\n     * @param {import(\"../coordinate.js\").Coordinate} anchor The rotation center.\n     * @api\n     */\n    SimpleGeometry.prototype.rotate = function (angle, anchor) {\n        var flatCoordinates = this.getFlatCoordinates();\n        if (flatCoordinates) {\n            var stride = this.getStride();\n            rotate(flatCoordinates, 0, flatCoordinates.length, stride, angle, anchor, flatCoordinates);\n            this.changed();\n        }\n    };\n    /**\n     * Scale the geometry (with an optional origin).  This modifies the geometry\n     * coordinates in place.\n     * @param {number} sx The scaling factor in the x-direction.\n     * @param {number} [opt_sy] The scaling factor in the y-direction (defaults to sx).\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_anchor] The scale origin (defaults to the center\n     *     of the geometry extent).\n     * @api\n     */\n    SimpleGeometry.prototype.scale = function (sx, opt_sy, opt_anchor) {\n        var sy = opt_sy;\n        if (sy === undefined) {\n            sy = sx;\n        }\n        var anchor = opt_anchor;\n        if (!anchor) {\n            anchor = getCenter(this.getExtent());\n        }\n        var flatCoordinates = this.getFlatCoordinates();\n        if (flatCoordinates) {\n            var stride = this.getStride();\n            scale(flatCoordinates, 0, flatCoordinates.length, stride, sx, sy, anchor, flatCoordinates);\n            this.changed();\n        }\n    };\n    /**\n     * Translate the geometry.  This modifies the geometry coordinates in place.  If\n     * instead you want a new geometry, first `clone()` this geometry.\n     * @param {number} deltaX Delta X.\n     * @param {number} deltaY Delta Y.\n     * @api\n     */\n    SimpleGeometry.prototype.translate = function (deltaX, deltaY) {\n        var flatCoordinates = this.getFlatCoordinates();\n        if (flatCoordinates) {\n            var stride = this.getStride();\n            translate(flatCoordinates, 0, flatCoordinates.length, stride, deltaX, deltaY, flatCoordinates);\n            this.changed();\n        }\n    };\n    return SimpleGeometry;\n}(Geometry));\n/**\n * @param {number} stride Stride.\n * @return {import(\"./GeometryLayout.js\").default} layout Layout.\n */\nfunction getLayoutForStride(stride) {\n    var layout;\n    if (stride == 2) {\n        layout = GeometryLayout.XY;\n    }\n    else if (stride == 3) {\n        layout = GeometryLayout.XYZ;\n    }\n    else if (stride == 4) {\n        layout = GeometryLayout.XYZM;\n    }\n    return /** @type {import(\"./GeometryLayout.js\").default} */ (layout);\n}\n/**\n * @param {import(\"./GeometryLayout.js\").default} layout Layout.\n * @return {number} Stride.\n */\nexport function getStrideForLayout(layout) {\n    var stride;\n    if (layout == GeometryLayout.XY) {\n        stride = 2;\n    }\n    else if (layout == GeometryLayout.XYZ || layout == GeometryLayout.XYM) {\n        stride = 3;\n    }\n    else if (layout == GeometryLayout.XYZM) {\n        stride = 4;\n    }\n    return /** @type {number} */ (stride);\n}\n/**\n * @param {SimpleGeometry} simpleGeometry Simple geometry.\n * @param {import(\"../transform.js\").Transform} transform Transform.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Transformed flat coordinates.\n */\nexport function transformGeom2D(simpleGeometry, transform, opt_dest) {\n    var flatCoordinates = simpleGeometry.getFlatCoordinates();\n    if (!flatCoordinates) {\n        return null;\n    }\n    else {\n        var stride = simpleGeometry.getStride();\n        return transform2D(flatCoordinates, 0, flatCoordinates.length, stride, transform, opt_dest);\n    }\n}\nexport default SimpleGeometry;\n//# sourceMappingURL=SimpleGeometry.js.map","/**\n * @module ol/geom/flat/closest\n */\nimport { lerp, squaredDistance as squaredDx } from '../../math.js';\n/**\n * Returns the point on the 2D line segment flatCoordinates[offset1] to\n * flatCoordinates[offset2] that is closest to the point (x, y).  Extra\n * dimensions are linearly interpolated.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset1 Offset 1.\n * @param {number} offset2 Offset 2.\n * @param {number} stride Stride.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {Array<number>} closestPoint Closest point.\n */\nfunction assignClosest(flatCoordinates, offset1, offset2, stride, x, y, closestPoint) {\n    var x1 = flatCoordinates[offset1];\n    var y1 = flatCoordinates[offset1 + 1];\n    var dx = flatCoordinates[offset2] - x1;\n    var dy = flatCoordinates[offset2 + 1] - y1;\n    var offset;\n    if (dx === 0 && dy === 0) {\n        offset = offset1;\n    }\n    else {\n        var t = ((x - x1) * dx + (y - y1) * dy) / (dx * dx + dy * dy);\n        if (t > 1) {\n            offset = offset2;\n        }\n        else if (t > 0) {\n            for (var i = 0; i < stride; ++i) {\n                closestPoint[i] = lerp(flatCoordinates[offset1 + i], flatCoordinates[offset2 + i], t);\n            }\n            closestPoint.length = stride;\n            return;\n        }\n        else {\n            offset = offset1;\n        }\n    }\n    for (var i = 0; i < stride; ++i) {\n        closestPoint[i] = flatCoordinates[offset + i];\n    }\n    closestPoint.length = stride;\n}\n/**\n * Return the squared of the largest distance between any pair of consecutive\n * coordinates.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} max Max squared delta.\n * @return {number} Max squared delta.\n */\nexport function maxSquaredDelta(flatCoordinates, offset, end, stride, max) {\n    var x1 = flatCoordinates[offset];\n    var y1 = flatCoordinates[offset + 1];\n    for (offset += stride; offset < end; offset += stride) {\n        var x2 = flatCoordinates[offset];\n        var y2 = flatCoordinates[offset + 1];\n        var squaredDelta = squaredDx(x1, y1, x2, y2);\n        if (squaredDelta > max) {\n            max = squaredDelta;\n        }\n        x1 = x2;\n        y1 = y2;\n    }\n    return max;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} max Max squared delta.\n * @return {number} Max squared delta.\n */\nexport function arrayMaxSquaredDelta(flatCoordinates, offset, ends, stride, max) {\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        max = maxSquaredDelta(flatCoordinates, offset, end, stride, max);\n        offset = end;\n    }\n    return max;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {number} max Max squared delta.\n * @return {number} Max squared delta.\n */\nexport function multiArrayMaxSquaredDelta(flatCoordinates, offset, endss, stride, max) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        max = arrayMaxSquaredDelta(flatCoordinates, offset, ends, stride, max);\n        offset = ends[ends.length - 1];\n    }\n    return max;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} maxDelta Max delta.\n * @param {boolean} isRing Is ring.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {Array<number>} closestPoint Closest point.\n * @param {number} minSquaredDistance Minimum squared distance.\n * @param {Array<number>} [opt_tmpPoint] Temporary point object.\n * @return {number} Minimum squared distance.\n */\nexport function assignClosestPoint(flatCoordinates, offset, end, stride, maxDelta, isRing, x, y, closestPoint, minSquaredDistance, opt_tmpPoint) {\n    if (offset == end) {\n        return minSquaredDistance;\n    }\n    var i, squaredDistance;\n    if (maxDelta === 0) {\n        // All points are identical, so just test the first point.\n        squaredDistance = squaredDx(x, y, flatCoordinates[offset], flatCoordinates[offset + 1]);\n        if (squaredDistance < minSquaredDistance) {\n            for (i = 0; i < stride; ++i) {\n                closestPoint[i] = flatCoordinates[offset + i];\n            }\n            closestPoint.length = stride;\n            return squaredDistance;\n        }\n        else {\n            return minSquaredDistance;\n        }\n    }\n    var tmpPoint = opt_tmpPoint ? opt_tmpPoint : [NaN, NaN];\n    var index = offset + stride;\n    while (index < end) {\n        assignClosest(flatCoordinates, index - stride, index, stride, x, y, tmpPoint);\n        squaredDistance = squaredDx(x, y, tmpPoint[0], tmpPoint[1]);\n        if (squaredDistance < minSquaredDistance) {\n            minSquaredDistance = squaredDistance;\n            for (i = 0; i < stride; ++i) {\n                closestPoint[i] = tmpPoint[i];\n            }\n            closestPoint.length = stride;\n            index += stride;\n        }\n        else {\n            // Skip ahead multiple points, because we know that all the skipped\n            // points cannot be any closer than the closest point we have found so\n            // far.  We know this because we know how close the current point is, how\n            // close the closest point we have found so far is, and the maximum\n            // distance between consecutive points.  For example, if we're currently\n            // at distance 10, the best we've found so far is 3, and that the maximum\n            // distance between consecutive points is 2, then we'll need to skip at\n            // least (10 - 3) / 2 == 3 (rounded down) points to have any chance of\n            // finding a closer point.  We use Math.max(..., 1) to ensure that we\n            // always advance at least one point, to avoid an infinite loop.\n            index +=\n                stride *\n                    Math.max(((Math.sqrt(squaredDistance) - Math.sqrt(minSquaredDistance)) /\n                        maxDelta) |\n                        0, 1);\n        }\n    }\n    if (isRing) {\n        // Check the closing segment.\n        assignClosest(flatCoordinates, end - stride, offset, stride, x, y, tmpPoint);\n        squaredDistance = squaredDx(x, y, tmpPoint[0], tmpPoint[1]);\n        if (squaredDistance < minSquaredDistance) {\n            minSquaredDistance = squaredDistance;\n            for (i = 0; i < stride; ++i) {\n                closestPoint[i] = tmpPoint[i];\n            }\n            closestPoint.length = stride;\n        }\n    }\n    return minSquaredDistance;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} maxDelta Max delta.\n * @param {boolean} isRing Is ring.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {Array<number>} closestPoint Closest point.\n * @param {number} minSquaredDistance Minimum squared distance.\n * @param {Array<number>} [opt_tmpPoint] Temporary point object.\n * @return {number} Minimum squared distance.\n */\nexport function assignClosestArrayPoint(flatCoordinates, offset, ends, stride, maxDelta, isRing, x, y, closestPoint, minSquaredDistance, opt_tmpPoint) {\n    var tmpPoint = opt_tmpPoint ? opt_tmpPoint : [NaN, NaN];\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        minSquaredDistance = assignClosestPoint(flatCoordinates, offset, end, stride, maxDelta, isRing, x, y, closestPoint, minSquaredDistance, tmpPoint);\n        offset = end;\n    }\n    return minSquaredDistance;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {number} maxDelta Max delta.\n * @param {boolean} isRing Is ring.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {Array<number>} closestPoint Closest point.\n * @param {number} minSquaredDistance Minimum squared distance.\n * @param {Array<number>} [opt_tmpPoint] Temporary point object.\n * @return {number} Minimum squared distance.\n */\nexport function assignClosestMultiArrayPoint(flatCoordinates, offset, endss, stride, maxDelta, isRing, x, y, closestPoint, minSquaredDistance, opt_tmpPoint) {\n    var tmpPoint = opt_tmpPoint ? opt_tmpPoint : [NaN, NaN];\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        minSquaredDistance = assignClosestArrayPoint(flatCoordinates, offset, ends, stride, maxDelta, isRing, x, y, closestPoint, minSquaredDistance, tmpPoint);\n        offset = ends[ends.length - 1];\n    }\n    return minSquaredDistance;\n}\n//# sourceMappingURL=closest.js.map","/**\n * @module ol/geom/flat/deflate\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n * @param {number} stride Stride.\n * @return {number} offset Offset.\n */\nexport function deflateCoordinate(flatCoordinates, offset, coordinate, stride) {\n    for (var i = 0, ii = coordinate.length; i < ii; ++i) {\n        flatCoordinates[offset++] = coordinate[i];\n    }\n    return offset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<import(\"../../coordinate.js\").Coordinate>} coordinates Coordinates.\n * @param {number} stride Stride.\n * @return {number} offset Offset.\n */\nexport function deflateCoordinates(flatCoordinates, offset, coordinates, stride) {\n    for (var i = 0, ii = coordinates.length; i < ii; ++i) {\n        var coordinate = coordinates[i];\n        for (var j = 0; j < stride; ++j) {\n            flatCoordinates[offset++] = coordinate[j];\n        }\n    }\n    return offset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<import(\"../../coordinate.js\").Coordinate>>} coordinatess Coordinatess.\n * @param {number} stride Stride.\n * @param {Array<number>} [opt_ends] Ends.\n * @return {Array<number>} Ends.\n */\nexport function deflateCoordinatesArray(flatCoordinates, offset, coordinatess, stride, opt_ends) {\n    var ends = opt_ends ? opt_ends : [];\n    var i = 0;\n    for (var j = 0, jj = coordinatess.length; j < jj; ++j) {\n        var end = deflateCoordinates(flatCoordinates, offset, coordinatess[j], stride);\n        ends[i++] = end;\n        offset = end;\n    }\n    ends.length = i;\n    return ends;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<Array<import(\"../../coordinate.js\").Coordinate>>>} coordinatesss Coordinatesss.\n * @param {number} stride Stride.\n * @param {Array<Array<number>>} [opt_endss] Endss.\n * @return {Array<Array<number>>} Endss.\n */\nexport function deflateMultiCoordinatesArray(flatCoordinates, offset, coordinatesss, stride, opt_endss) {\n    var endss = opt_endss ? opt_endss : [];\n    var i = 0;\n    for (var j = 0, jj = coordinatesss.length; j < jj; ++j) {\n        var ends = deflateCoordinatesArray(flatCoordinates, offset, coordinatesss[j], stride, endss[i]);\n        endss[i++] = ends;\n        offset = ends[ends.length - 1];\n    }\n    endss.length = i;\n    return endss;\n}\n//# sourceMappingURL=deflate.js.map","/**\n * @module ol/geom/flat/simplify\n */\n// Based on simplify-js https://github.com/mourner/simplify-js\n// Copyright (c) 2012, Vladimir Agafonkin\n// All rights reserved.\n//\n// Redistribution and use in source and binary forms, with or without\n// modification, are permitted provided that the following conditions are met:\n//\n//    1. Redistributions of source code must retain the above copyright notice,\n//       this list of conditions and the following disclaimer.\n//\n//    2. Redistributions in binary form must reproduce the above copyright\n//       notice, this list of conditions and the following disclaimer in the\n//       documentation and/or other materials provided with the distribution.\n//\n// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE\n// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE\n// POSSIBILITY OF SUCH DAMAGE.\nimport { squaredDistance, squaredSegmentDistance } from '../../math.js';\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {boolean} highQuality Highest quality.\n * @param {Array<number>} [opt_simplifiedFlatCoordinates] Simplified flat\n *     coordinates.\n * @return {Array<number>} Simplified line string.\n */\nexport function simplifyLineString(flatCoordinates, offset, end, stride, squaredTolerance, highQuality, opt_simplifiedFlatCoordinates) {\n    var simplifiedFlatCoordinates = opt_simplifiedFlatCoordinates !== undefined\n        ? opt_simplifiedFlatCoordinates\n        : [];\n    if (!highQuality) {\n        end = radialDistance(flatCoordinates, offset, end, stride, squaredTolerance, simplifiedFlatCoordinates, 0);\n        flatCoordinates = simplifiedFlatCoordinates;\n        offset = 0;\n        stride = 2;\n    }\n    simplifiedFlatCoordinates.length = douglasPeucker(flatCoordinates, offset, end, stride, squaredTolerance, simplifiedFlatCoordinates, 0);\n    return simplifiedFlatCoordinates;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @return {number} Simplified offset.\n */\nexport function douglasPeucker(flatCoordinates, offset, end, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset) {\n    var n = (end - offset) / stride;\n    if (n < 3) {\n        for (; offset < end; offset += stride) {\n            simplifiedFlatCoordinates[simplifiedOffset++] = flatCoordinates[offset];\n            simplifiedFlatCoordinates[simplifiedOffset++] =\n                flatCoordinates[offset + 1];\n        }\n        return simplifiedOffset;\n    }\n    /** @type {Array<number>} */\n    var markers = new Array(n);\n    markers[0] = 1;\n    markers[n - 1] = 1;\n    /** @type {Array<number>} */\n    var stack = [offset, end - stride];\n    var index = 0;\n    while (stack.length > 0) {\n        var last = stack.pop();\n        var first = stack.pop();\n        var maxSquaredDistance = 0;\n        var x1 = flatCoordinates[first];\n        var y1 = flatCoordinates[first + 1];\n        var x2 = flatCoordinates[last];\n        var y2 = flatCoordinates[last + 1];\n        for (var i = first + stride; i < last; i += stride) {\n            var x = flatCoordinates[i];\n            var y = flatCoordinates[i + 1];\n            var squaredDistance_1 = squaredSegmentDistance(x, y, x1, y1, x2, y2);\n            if (squaredDistance_1 > maxSquaredDistance) {\n                index = i;\n                maxSquaredDistance = squaredDistance_1;\n            }\n        }\n        if (maxSquaredDistance > squaredTolerance) {\n            markers[(index - offset) / stride] = 1;\n            if (first + stride < index) {\n                stack.push(first, index);\n            }\n            if (index + stride < last) {\n                stack.push(index, last);\n            }\n        }\n    }\n    for (var i = 0; i < n; ++i) {\n        if (markers[i]) {\n            simplifiedFlatCoordinates[simplifiedOffset++] =\n                flatCoordinates[offset + i * stride];\n            simplifiedFlatCoordinates[simplifiedOffset++] =\n                flatCoordinates[offset + i * stride + 1];\n        }\n    }\n    return simplifiedOffset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @param {Array<number>} simplifiedEnds Simplified ends.\n * @return {number} Simplified offset.\n */\nexport function douglasPeuckerArray(flatCoordinates, offset, ends, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEnds) {\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        simplifiedOffset = douglasPeucker(flatCoordinates, offset, end, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset);\n        simplifiedEnds.push(simplifiedOffset);\n        offset = end;\n    }\n    return simplifiedOffset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @param {Array<Array<number>>} simplifiedEndss Simplified endss.\n * @return {number} Simplified offset.\n */\nexport function douglasPeuckerMultiArray(flatCoordinates, offset, endss, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEndss) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        var simplifiedEnds = [];\n        simplifiedOffset = douglasPeuckerArray(flatCoordinates, offset, ends, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEnds);\n        simplifiedEndss.push(simplifiedEnds);\n        offset = ends[ends.length - 1];\n    }\n    return simplifiedOffset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @return {number} Simplified offset.\n */\nexport function radialDistance(flatCoordinates, offset, end, stride, squaredTolerance, simplifiedFlatCoordinates, simplifiedOffset) {\n    if (end <= offset + stride) {\n        // zero or one point, no simplification possible, so copy and return\n        for (; offset < end; offset += stride) {\n            simplifiedFlatCoordinates[simplifiedOffset++] = flatCoordinates[offset];\n            simplifiedFlatCoordinates[simplifiedOffset++] =\n                flatCoordinates[offset + 1];\n        }\n        return simplifiedOffset;\n    }\n    var x1 = flatCoordinates[offset];\n    var y1 = flatCoordinates[offset + 1];\n    // copy first point\n    simplifiedFlatCoordinates[simplifiedOffset++] = x1;\n    simplifiedFlatCoordinates[simplifiedOffset++] = y1;\n    var x2 = x1;\n    var y2 = y1;\n    for (offset += stride; offset < end; offset += stride) {\n        x2 = flatCoordinates[offset];\n        y2 = flatCoordinates[offset + 1];\n        if (squaredDistance(x1, y1, x2, y2) > squaredTolerance) {\n            // copy point at offset\n            simplifiedFlatCoordinates[simplifiedOffset++] = x2;\n            simplifiedFlatCoordinates[simplifiedOffset++] = y2;\n            x1 = x2;\n            y1 = y2;\n        }\n    }\n    if (x2 != x1 || y2 != y1) {\n        // copy last point\n        simplifiedFlatCoordinates[simplifiedOffset++] = x2;\n        simplifiedFlatCoordinates[simplifiedOffset++] = y2;\n    }\n    return simplifiedOffset;\n}\n/**\n * @param {number} value Value.\n * @param {number} tolerance Tolerance.\n * @return {number} Rounded value.\n */\nexport function snap(value, tolerance) {\n    return tolerance * Math.round(value / tolerance);\n}\n/**\n * Simplifies a line string using an algorithm designed by Tim Schaub.\n * Coordinates are snapped to the nearest value in a virtual grid and\n * consecutive duplicate coordinates are discarded.  This effectively preserves\n * topology as the simplification of any subsection of a line string is\n * independent of the rest of the line string.  This means that, for examples,\n * the common edge between two polygons will be simplified to the same line\n * string independently in both polygons.  This implementation uses a single\n * pass over the coordinates and eliminates intermediate collinear points.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} tolerance Tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @return {number} Simplified offset.\n */\nexport function quantize(flatCoordinates, offset, end, stride, tolerance, simplifiedFlatCoordinates, simplifiedOffset) {\n    // do nothing if the line is empty\n    if (offset == end) {\n        return simplifiedOffset;\n    }\n    // snap the first coordinate (P1)\n    var x1 = snap(flatCoordinates[offset], tolerance);\n    var y1 = snap(flatCoordinates[offset + 1], tolerance);\n    offset += stride;\n    // add the first coordinate to the output\n    simplifiedFlatCoordinates[simplifiedOffset++] = x1;\n    simplifiedFlatCoordinates[simplifiedOffset++] = y1;\n    // find the next coordinate that does not snap to the same value as the first\n    // coordinate (P2)\n    var x2, y2;\n    do {\n        x2 = snap(flatCoordinates[offset], tolerance);\n        y2 = snap(flatCoordinates[offset + 1], tolerance);\n        offset += stride;\n        if (offset == end) {\n            // all coordinates snap to the same value, the line collapses to a point\n            // push the last snapped value anyway to ensure that the output contains\n            // at least two points\n            // FIXME should we really return at least two points anyway?\n            simplifiedFlatCoordinates[simplifiedOffset++] = x2;\n            simplifiedFlatCoordinates[simplifiedOffset++] = y2;\n            return simplifiedOffset;\n        }\n    } while (x2 == x1 && y2 == y1);\n    while (offset < end) {\n        // snap the next coordinate (P3)\n        var x3 = snap(flatCoordinates[offset], tolerance);\n        var y3 = snap(flatCoordinates[offset + 1], tolerance);\n        offset += stride;\n        // skip P3 if it is equal to P2\n        if (x3 == x2 && y3 == y2) {\n            continue;\n        }\n        // calculate the delta between P1 and P2\n        var dx1 = x2 - x1;\n        var dy1 = y2 - y1;\n        // calculate the delta between P3 and P1\n        var dx2 = x3 - x1;\n        var dy2 = y3 - y1;\n        // if P1, P2, and P3 are colinear and P3 is further from P1 than P2 is from\n        // P1 in the same direction then P2 is on the straight line between P1 and\n        // P3\n        if (dx1 * dy2 == dy1 * dx2 &&\n            ((dx1 < 0 && dx2 < dx1) || dx1 == dx2 || (dx1 > 0 && dx2 > dx1)) &&\n            ((dy1 < 0 && dy2 < dy1) || dy1 == dy2 || (dy1 > 0 && dy2 > dy1))) {\n            // discard P2 and set P2 = P3\n            x2 = x3;\n            y2 = y3;\n            continue;\n        }\n        // either P1, P2, and P3 are not colinear, or they are colinear but P3 is\n        // between P3 and P1 or on the opposite half of the line to P2.  add P2,\n        // and continue with P1 = P2 and P2 = P3\n        simplifiedFlatCoordinates[simplifiedOffset++] = x2;\n        simplifiedFlatCoordinates[simplifiedOffset++] = y2;\n        x1 = x2;\n        y1 = y2;\n        x2 = x3;\n        y2 = y3;\n    }\n    // add the last point (P2)\n    simplifiedFlatCoordinates[simplifiedOffset++] = x2;\n    simplifiedFlatCoordinates[simplifiedOffset++] = y2;\n    return simplifiedOffset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} tolerance Tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @param {Array<number>} simplifiedEnds Simplified ends.\n * @return {number} Simplified offset.\n */\nexport function quantizeArray(flatCoordinates, offset, ends, stride, tolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEnds) {\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        simplifiedOffset = quantize(flatCoordinates, offset, end, stride, tolerance, simplifiedFlatCoordinates, simplifiedOffset);\n        simplifiedEnds.push(simplifiedOffset);\n        offset = end;\n    }\n    return simplifiedOffset;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {number} tolerance Tolerance.\n * @param {Array<number>} simplifiedFlatCoordinates Simplified flat\n *     coordinates.\n * @param {number} simplifiedOffset Simplified offset.\n * @param {Array<Array<number>>} simplifiedEndss Simplified endss.\n * @return {number} Simplified offset.\n */\nexport function quantizeMultiArray(flatCoordinates, offset, endss, stride, tolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEndss) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        var simplifiedEnds = [];\n        simplifiedOffset = quantizeArray(flatCoordinates, offset, ends, stride, tolerance, simplifiedFlatCoordinates, simplifiedOffset, simplifiedEnds);\n        simplifiedEndss.push(simplifiedEnds);\n        offset = ends[ends.length - 1];\n    }\n    return simplifiedOffset;\n}\n//# sourceMappingURL=simplify.js.map","/**\n * @module ol/geom/flat/inflate\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {Array<import(\"../../coordinate.js\").Coordinate>} [opt_coordinates] Coordinates.\n * @return {Array<import(\"../../coordinate.js\").Coordinate>} Coordinates.\n */\nexport function inflateCoordinates(flatCoordinates, offset, end, stride, opt_coordinates) {\n    var coordinates = opt_coordinates !== undefined ? opt_coordinates : [];\n    var i = 0;\n    for (var j = offset; j < end; j += stride) {\n        coordinates[i++] = flatCoordinates.slice(j, j + stride);\n    }\n    coordinates.length = i;\n    return coordinates;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {Array<Array<import(\"../../coordinate.js\").Coordinate>>} [opt_coordinatess] Coordinatess.\n * @return {Array<Array<import(\"../../coordinate.js\").Coordinate>>} Coordinatess.\n */\nexport function inflateCoordinatesArray(flatCoordinates, offset, ends, stride, opt_coordinatess) {\n    var coordinatess = opt_coordinatess !== undefined ? opt_coordinatess : [];\n    var i = 0;\n    for (var j = 0, jj = ends.length; j < jj; ++j) {\n        var end = ends[j];\n        coordinatess[i++] = inflateCoordinates(flatCoordinates, offset, end, stride, coordinatess[i]);\n        offset = end;\n    }\n    coordinatess.length = i;\n    return coordinatess;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {Array<Array<Array<import(\"../../coordinate.js\").Coordinate>>>} [opt_coordinatesss]\n *     Coordinatesss.\n * @return {Array<Array<Array<import(\"../../coordinate.js\").Coordinate>>>} Coordinatesss.\n */\nexport function inflateMultiCoordinatesArray(flatCoordinates, offset, endss, stride, opt_coordinatesss) {\n    var coordinatesss = opt_coordinatesss !== undefined ? opt_coordinatesss : [];\n    var i = 0;\n    for (var j = 0, jj = endss.length; j < jj; ++j) {\n        var ends = endss[j];\n        coordinatesss[i++] = inflateCoordinatesArray(flatCoordinates, offset, ends, stride, coordinatesss[i]);\n        offset = ends[ends.length - 1];\n    }\n    coordinatesss.length = i;\n    return coordinatesss;\n}\n//# sourceMappingURL=inflate.js.map","/**\n * @module ol/geom/flat/area\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {number} Area.\n */\nexport function linearRing(flatCoordinates, offset, end, stride) {\n    var twiceArea = 0;\n    var x1 = flatCoordinates[end - stride];\n    var y1 = flatCoordinates[end - stride + 1];\n    for (; offset < end; offset += stride) {\n        var x2 = flatCoordinates[offset];\n        var y2 = flatCoordinates[offset + 1];\n        twiceArea += y1 * x2 - x1 * y2;\n        x1 = x2;\n        y1 = y2;\n    }\n    return twiceArea / 2;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @return {number} Area.\n */\nexport function linearRings(flatCoordinates, offset, ends, stride) {\n    var area = 0;\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        area += linearRing(flatCoordinates, offset, end, stride);\n        offset = end;\n    }\n    return area;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @return {number} Area.\n */\nexport function linearRingss(flatCoordinates, offset, endss, stride) {\n    var area = 0;\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        area += linearRings(flatCoordinates, offset, ends, stride);\n        offset = ends[ends.length - 1];\n    }\n    return area;\n}\n//# sourceMappingURL=area.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/LinearRing\n */\nimport GeometryLayout from './GeometryLayout.js';\nimport GeometryType from './GeometryType.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { assignClosestPoint, maxSquaredDelta } from './flat/closest.js';\nimport { closestSquaredDistanceXY } from '../extent.js';\nimport { deflateCoordinates } from './flat/deflate.js';\nimport { douglasPeucker } from './flat/simplify.js';\nimport { inflateCoordinates } from './flat/inflate.js';\nimport { linearRing as linearRingArea } from './flat/area.js';\n/**\n * @classdesc\n * Linear ring geometry. Only used as part of polygon; cannot be rendered\n * on its own.\n *\n * @api\n */\nvar LinearRing = /** @class */ (function (_super) {\n    __extends(LinearRing, _super);\n    /**\n     * @param {Array<import(\"../coordinate.js\").Coordinate>|Array<number>} coordinates Coordinates.\n     *     For internal use, flat coordinates in combination with `opt_layout` are also accepted.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    function LinearRing(coordinates, opt_layout) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDeltaRevision_ = -1;\n        if (opt_layout !== undefined && !Array.isArray(coordinates[0])) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n        }\n        else {\n            _this.setCoordinates(\n            /** @type {Array<import(\"../coordinate.js\").Coordinate>} */ (coordinates), opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!LinearRing} Clone.\n     * @api\n     */\n    LinearRing.prototype.clone = function () {\n        return new LinearRing(this.flatCoordinates.slice(), this.layout);\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    LinearRing.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        if (this.maxDeltaRevision_ != this.getRevision()) {\n            this.maxDelta_ = Math.sqrt(maxSquaredDelta(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, 0));\n            this.maxDeltaRevision_ = this.getRevision();\n        }\n        return assignClosestPoint(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, this.maxDelta_, true, x, y, closestPoint, minSquaredDistance);\n    };\n    /**\n     * Return the area of the linear ring on projected plane.\n     * @return {number} Area (on projected plane).\n     * @api\n     */\n    LinearRing.prototype.getArea = function () {\n        return linearRingArea(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride);\n    };\n    /**\n     * Return the coordinates of the linear ring.\n     * @return {Array<import(\"../coordinate.js\").Coordinate>} Coordinates.\n     * @api\n     */\n    LinearRing.prototype.getCoordinates = function () {\n        return inflateCoordinates(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride);\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {LinearRing} Simplified LinearRing.\n     * @protected\n     */\n    LinearRing.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        var simplifiedFlatCoordinates = [];\n        simplifiedFlatCoordinates.length = douglasPeucker(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, squaredTolerance, simplifiedFlatCoordinates, 0);\n        return new LinearRing(simplifiedFlatCoordinates, GeometryLayout.XY);\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    LinearRing.prototype.getType = function () {\n        return GeometryType.LINEAR_RING;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    LinearRing.prototype.intersectsExtent = function (extent) {\n        return false;\n    };\n    /**\n     * Set the coordinates of the linear ring.\n     * @param {!Array<import(\"../coordinate.js\").Coordinate>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    LinearRing.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 1);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        this.flatCoordinates.length = deflateCoordinates(this.flatCoordinates, 0, coordinates, this.stride);\n        this.changed();\n    };\n    return LinearRing;\n}(SimpleGeometry));\nexport default LinearRing;\n//# sourceMappingURL=LinearRing.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/Point\n */\nimport GeometryType from './GeometryType.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { containsXY, createOrUpdateFromCoordinate } from '../extent.js';\nimport { deflateCoordinate } from './flat/deflate.js';\nimport { squaredDistance as squaredDx } from '../math.js';\n/**\n * @classdesc\n * Point geometry.\n *\n * @api\n */\nvar Point = /** @class */ (function (_super) {\n    __extends(Point, _super);\n    /**\n     * @param {import(\"../coordinate.js\").Coordinate} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    function Point(coordinates, opt_layout) {\n        var _this = _super.call(this) || this;\n        _this.setCoordinates(coordinates, opt_layout);\n        return _this;\n    }\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!Point} Clone.\n     * @api\n     */\n    Point.prototype.clone = function () {\n        var point = new Point(this.flatCoordinates.slice(), this.layout);\n        point.applyProperties(this);\n        return point;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    Point.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        var flatCoordinates = this.flatCoordinates;\n        var squaredDistance = squaredDx(x, y, flatCoordinates[0], flatCoordinates[1]);\n        if (squaredDistance < minSquaredDistance) {\n            var stride = this.stride;\n            for (var i = 0; i < stride; ++i) {\n                closestPoint[i] = flatCoordinates[i];\n            }\n            closestPoint.length = stride;\n            return squaredDistance;\n        }\n        else {\n            return minSquaredDistance;\n        }\n    };\n    /**\n     * Return the coordinate of the point.\n     * @return {import(\"../coordinate.js\").Coordinate} Coordinates.\n     * @api\n     */\n    Point.prototype.getCoordinates = function () {\n        return !this.flatCoordinates ? [] : this.flatCoordinates.slice();\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @protected\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     */\n    Point.prototype.computeExtent = function (extent) {\n        return createOrUpdateFromCoordinate(this.flatCoordinates, extent);\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    Point.prototype.getType = function () {\n        return GeometryType.POINT;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    Point.prototype.intersectsExtent = function (extent) {\n        return containsXY(extent, this.flatCoordinates[0], this.flatCoordinates[1]);\n    };\n    /**\n     * @param {!Array<*>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    Point.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 0);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        this.flatCoordinates.length = deflateCoordinate(this.flatCoordinates, 0, coordinates, this.stride);\n        this.changed();\n    };\n    return Point;\n}(SimpleGeometry));\nexport default Point;\n//# sourceMappingURL=Point.js.map","/**\n * @module ol/geom/flat/contains\n */\nimport { forEachCorner } from '../../extent.js';\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} Contains extent.\n */\nexport function linearRingContainsExtent(flatCoordinates, offset, end, stride, extent) {\n    var outside = forEachCorner(extent, \n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @return {boolean} Contains (x, y).\n     */\n    function (coordinate) {\n        return !linearRingContainsXY(flatCoordinates, offset, end, stride, coordinate[0], coordinate[1]);\n    });\n    return !outside;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} x X.\n * @param {number} y Y.\n * @return {boolean} Contains (x, y).\n */\nexport function linearRingContainsXY(flatCoordinates, offset, end, stride, x, y) {\n    // https://geomalgorithms.com/a03-_inclusion.html\n    // Copyright 2000 softSurfer, 2012 Dan Sunday\n    // This code may be freely used and modified for any purpose\n    // providing that this copyright notice is included with it.\n    // SoftSurfer makes no warranty for this code, and cannot be held\n    // liable for any real or imagined damage resulting from its use.\n    // Users of this code must verify correctness for their application.\n    var wn = 0;\n    var x1 = flatCoordinates[end - stride];\n    var y1 = flatCoordinates[end - stride + 1];\n    for (; offset < end; offset += stride) {\n        var x2 = flatCoordinates[offset];\n        var y2 = flatCoordinates[offset + 1];\n        if (y1 <= y) {\n            if (y2 > y && (x2 - x1) * (y - y1) - (x - x1) * (y2 - y1) > 0) {\n                wn++;\n            }\n        }\n        else if (y2 <= y && (x2 - x1) * (y - y1) - (x - x1) * (y2 - y1) < 0) {\n            wn--;\n        }\n        x1 = x2;\n        y1 = y2;\n    }\n    return wn !== 0;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} x X.\n * @param {number} y Y.\n * @return {boolean} Contains (x, y).\n */\nexport function linearRingsContainsXY(flatCoordinates, offset, ends, stride, x, y) {\n    if (ends.length === 0) {\n        return false;\n    }\n    if (!linearRingContainsXY(flatCoordinates, offset, ends[0], stride, x, y)) {\n        return false;\n    }\n    for (var i = 1, ii = ends.length; i < ii; ++i) {\n        if (linearRingContainsXY(flatCoordinates, ends[i - 1], ends[i], stride, x, y)) {\n            return false;\n        }\n    }\n    return true;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {number} x X.\n * @param {number} y Y.\n * @return {boolean} Contains (x, y).\n */\nexport function linearRingssContainsXY(flatCoordinates, offset, endss, stride, x, y) {\n    if (endss.length === 0) {\n        return false;\n    }\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        if (linearRingsContainsXY(flatCoordinates, offset, ends, stride, x, y)) {\n            return true;\n        }\n        offset = ends[ends.length - 1];\n    }\n    return false;\n}\n//# sourceMappingURL=contains.js.map","/**\n * @module ol/geom/flat/interiorpoint\n */\nimport { linearRingsContainsXY } from './contains.js';\nimport { numberSafeCompareFunction } from '../../array.js';\n/**\n * Calculates a point that is likely to lie in the interior of the linear rings.\n * Inspired by JTS's com.vividsolutions.jts.geom.Geometry#getInteriorPoint.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {Array<number>} flatCenters Flat centers.\n * @param {number} flatCentersOffset Flat center offset.\n * @param {Array<number>} [opt_dest] Destination.\n * @return {Array<number>} Destination point as XYM coordinate, where M is the\n * length of the horizontal intersection that the point belongs to.\n */\nexport function getInteriorPointOfArray(flatCoordinates, offset, ends, stride, flatCenters, flatCentersOffset, opt_dest) {\n    var i, ii, x, x1, x2, y1, y2;\n    var y = flatCenters[flatCentersOffset + 1];\n    /** @type {Array<number>} */\n    var intersections = [];\n    // Calculate intersections with the horizontal line\n    for (var r = 0, rr = ends.length; r < rr; ++r) {\n        var end = ends[r];\n        x1 = flatCoordinates[end - stride];\n        y1 = flatCoordinates[end - stride + 1];\n        for (i = offset; i < end; i += stride) {\n            x2 = flatCoordinates[i];\n            y2 = flatCoordinates[i + 1];\n            if ((y <= y1 && y2 <= y) || (y1 <= y && y <= y2)) {\n                x = ((y - y1) / (y2 - y1)) * (x2 - x1) + x1;\n                intersections.push(x);\n            }\n            x1 = x2;\n            y1 = y2;\n        }\n    }\n    // Find the longest segment of the horizontal line that has its center point\n    // inside the linear ring.\n    var pointX = NaN;\n    var maxSegmentLength = -Infinity;\n    intersections.sort(numberSafeCompareFunction);\n    x1 = intersections[0];\n    for (i = 1, ii = intersections.length; i < ii; ++i) {\n        x2 = intersections[i];\n        var segmentLength = Math.abs(x2 - x1);\n        if (segmentLength > maxSegmentLength) {\n            x = (x1 + x2) / 2;\n            if (linearRingsContainsXY(flatCoordinates, offset, ends, stride, x, y)) {\n                pointX = x;\n                maxSegmentLength = segmentLength;\n            }\n        }\n        x1 = x2;\n    }\n    if (isNaN(pointX)) {\n        // There is no horizontal line that has its center point inside the linear\n        // ring.  Use the center of the the linear ring's extent.\n        pointX = flatCenters[flatCentersOffset];\n    }\n    if (opt_dest) {\n        opt_dest.push(pointX, y, maxSegmentLength);\n        return opt_dest;\n    }\n    else {\n        return [pointX, y, maxSegmentLength];\n    }\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {Array<number>} flatCenters Flat centers.\n * @return {Array<number>} Interior points as XYM coordinates, where M is the\n * length of the horizontal intersection that the point belongs to.\n */\nexport function getInteriorPointsOfMultiArray(flatCoordinates, offset, endss, stride, flatCenters) {\n    var interiorPoints = [];\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        interiorPoints = getInteriorPointOfArray(flatCoordinates, offset, ends, stride, flatCenters, 2 * i, interiorPoints);\n        offset = ends[ends.length - 1];\n    }\n    return interiorPoints;\n}\n//# sourceMappingURL=interiorpoint.js.map","/**\n * @module ol/geom/flat/segments\n */\n/**\n * This function calls `callback` for each segment of the flat coordinates\n * array. If the callback returns a truthy value the function returns that\n * value immediately. Otherwise the function returns `false`.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {function(import(\"../../coordinate.js\").Coordinate, import(\"../../coordinate.js\").Coordinate): T} callback Function\n *     called for each segment.\n * @return {T|boolean} Value.\n * @template T\n */\nexport function forEach(flatCoordinates, offset, end, stride, callback) {\n    var ret;\n    offset += stride;\n    for (; offset < end; offset += stride) {\n        ret = callback(flatCoordinates.slice(offset - stride, offset), flatCoordinates.slice(offset, offset + stride));\n        if (ret) {\n            return ret;\n        }\n    }\n    return false;\n}\n//# sourceMappingURL=segments.js.map","/**\n * @module ol/geom/flat/intersectsextent\n */\nimport { containsExtent, createEmpty, extendFlatCoordinates, intersects, intersectsSegment, } from '../../extent.js';\nimport { forEach as forEachSegment } from './segments.js';\nimport { linearRingContainsExtent, linearRingContainsXY } from './contains.js';\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} True if the geometry and the extent intersect.\n */\nexport function intersectsLineString(flatCoordinates, offset, end, stride, extent) {\n    var coordinatesExtent = extendFlatCoordinates(createEmpty(), flatCoordinates, offset, end, stride);\n    if (!intersects(extent, coordinatesExtent)) {\n        return false;\n    }\n    if (containsExtent(extent, coordinatesExtent)) {\n        return true;\n    }\n    if (coordinatesExtent[0] >= extent[0] && coordinatesExtent[2] <= extent[2]) {\n        return true;\n    }\n    if (coordinatesExtent[1] >= extent[1] && coordinatesExtent[3] <= extent[3]) {\n        return true;\n    }\n    return forEachSegment(flatCoordinates, offset, end, stride, \n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} point1 Start point.\n     * @param {import(\"../../coordinate.js\").Coordinate} point2 End point.\n     * @return {boolean} `true` if the segment and the extent intersect,\n     *     `false` otherwise.\n     */\n    function (point1, point2) {\n        return intersectsSegment(extent, point1, point2);\n    });\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} True if the geometry and the extent intersect.\n */\nexport function intersectsLineStringArray(flatCoordinates, offset, ends, stride, extent) {\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        if (intersectsLineString(flatCoordinates, offset, ends[i], stride, extent)) {\n            return true;\n        }\n        offset = ends[i];\n    }\n    return false;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} True if the geometry and the extent intersect.\n */\nexport function intersectsLinearRing(flatCoordinates, offset, end, stride, extent) {\n    if (intersectsLineString(flatCoordinates, offset, end, stride, extent)) {\n        return true;\n    }\n    if (linearRingContainsXY(flatCoordinates, offset, end, stride, extent[0], extent[1])) {\n        return true;\n    }\n    if (linearRingContainsXY(flatCoordinates, offset, end, stride, extent[0], extent[3])) {\n        return true;\n    }\n    if (linearRingContainsXY(flatCoordinates, offset, end, stride, extent[2], extent[1])) {\n        return true;\n    }\n    if (linearRingContainsXY(flatCoordinates, offset, end, stride, extent[2], extent[3])) {\n        return true;\n    }\n    return false;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} True if the geometry and the extent intersect.\n */\nexport function intersectsLinearRingArray(flatCoordinates, offset, ends, stride, extent) {\n    if (!intersectsLinearRing(flatCoordinates, offset, ends[0], stride, extent)) {\n        return false;\n    }\n    if (ends.length === 1) {\n        return true;\n    }\n    for (var i = 1, ii = ends.length; i < ii; ++i) {\n        if (linearRingContainsExtent(flatCoordinates, ends[i - 1], ends[i], stride, extent)) {\n            if (!intersectsLineString(flatCoordinates, ends[i - 1], ends[i], stride, extent)) {\n                return false;\n            }\n        }\n    }\n    return true;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @return {boolean} True if the geometry and the extent intersect.\n */\nexport function intersectsLinearRingMultiArray(flatCoordinates, offset, endss, stride, extent) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        if (intersectsLinearRingArray(flatCoordinates, offset, ends, stride, extent)) {\n            return true;\n        }\n        offset = ends[ends.length - 1];\n    }\n    return false;\n}\n//# sourceMappingURL=intersectsextent.js.map","/**\n * @module ol/geom/flat/reverse\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n */\nexport function coordinates(flatCoordinates, offset, end, stride) {\n    while (offset < end - stride) {\n        for (var i = 0; i < stride; ++i) {\n            var tmp = flatCoordinates[offset + i];\n            flatCoordinates[offset + i] = flatCoordinates[end - stride + i];\n            flatCoordinates[end - stride + i] = tmp;\n        }\n        offset += stride;\n        end -= stride;\n    }\n}\n//# sourceMappingURL=reverse.js.map","/**\n * @module ol/geom/flat/orient\n */\nimport { coordinates as reverseCoordinates } from './reverse.js';\n/**\n * Is the linear ring oriented clockwise in a coordinate system with a bottom-left\n * coordinate origin? For a coordinate system with a top-left coordinate origin,\n * the ring's orientation is clockwise when this function returns false.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {boolean} Is clockwise.\n */\nexport function linearRingIsClockwise(flatCoordinates, offset, end, stride) {\n    // https://stackoverflow.com/q/1165647/clockwise-method#1165943\n    // https://github.com/OSGeo/gdal/blob/master/gdal/ogr/ogrlinearring.cpp\n    var edge = 0;\n    var x1 = flatCoordinates[end - stride];\n    var y1 = flatCoordinates[end - stride + 1];\n    for (; offset < end; offset += stride) {\n        var x2 = flatCoordinates[offset];\n        var y2 = flatCoordinates[offset + 1];\n        edge += (x2 - x1) * (y2 + y1);\n        x1 = x2;\n        y1 = y2;\n    }\n    return edge === 0 ? undefined : edge > 0;\n}\n/**\n * Determines if linear rings are oriented.  By default, left-hand orientation\n * is tested (first ring must be clockwise, remaining rings counter-clockwise).\n * To test for right-hand orientation, use the `opt_right` argument.\n *\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Array of end indexes.\n * @param {number} stride Stride.\n * @param {boolean} [opt_right] Test for right-hand orientation\n *     (counter-clockwise exterior ring and clockwise interior rings).\n * @return {boolean} Rings are correctly oriented.\n */\nexport function linearRingsAreOriented(flatCoordinates, offset, ends, stride, opt_right) {\n    var right = opt_right !== undefined ? opt_right : false;\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        var isClockwise = linearRingIsClockwise(flatCoordinates, offset, end, stride);\n        if (i === 0) {\n            if ((right && isClockwise) || (!right && !isClockwise)) {\n                return false;\n            }\n        }\n        else {\n            if ((right && !isClockwise) || (!right && isClockwise)) {\n                return false;\n            }\n        }\n        offset = end;\n    }\n    return true;\n}\n/**\n * Determines if linear rings are oriented.  By default, left-hand orientation\n * is tested (first ring must be clockwise, remaining rings counter-clockwise).\n * To test for right-hand orientation, use the `opt_right` argument.\n *\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Array of array of end indexes.\n * @param {number} stride Stride.\n * @param {boolean} [opt_right] Test for right-hand orientation\n *     (counter-clockwise exterior ring and clockwise interior rings).\n * @return {boolean} Rings are correctly oriented.\n */\nexport function linearRingssAreOriented(flatCoordinates, offset, endss, stride, opt_right) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        if (!linearRingsAreOriented(flatCoordinates, offset, ends, stride, opt_right)) {\n            return false;\n        }\n        if (ends.length) {\n            offset = ends[ends.length - 1];\n        }\n    }\n    return true;\n}\n/**\n * Orient coordinates in a flat array of linear rings.  By default, rings\n * are oriented following the left-hand rule (clockwise for exterior and\n * counter-clockwise for interior rings).  To orient according to the\n * right-hand rule, use the `opt_right` argument.\n *\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {boolean} [opt_right] Follow the right-hand rule for orientation.\n * @return {number} End.\n */\nexport function orientLinearRings(flatCoordinates, offset, ends, stride, opt_right) {\n    var right = opt_right !== undefined ? opt_right : false;\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        var isClockwise = linearRingIsClockwise(flatCoordinates, offset, end, stride);\n        var reverse = i === 0\n            ? (right && isClockwise) || (!right && !isClockwise)\n            : (right && !isClockwise) || (!right && isClockwise);\n        if (reverse) {\n            reverseCoordinates(flatCoordinates, offset, end, stride);\n        }\n        offset = end;\n    }\n    return offset;\n}\n/**\n * Orient coordinates in a flat array of linear rings.  By default, rings\n * are oriented following the left-hand rule (clockwise for exterior and\n * counter-clockwise for interior rings).  To orient according to the\n * right-hand rule, use the `opt_right` argument.\n *\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Array of array of end indexes.\n * @param {number} stride Stride.\n * @param {boolean} [opt_right] Follow the right-hand rule for orientation.\n * @return {number} End.\n */\nexport function orientLinearRingsArray(flatCoordinates, offset, endss, stride, opt_right) {\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        offset = orientLinearRings(flatCoordinates, offset, endss[i], stride, opt_right);\n    }\n    return offset;\n}\n//# sourceMappingURL=orient.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/Polygon\n */\nimport GeometryLayout from './GeometryLayout.js';\nimport GeometryType from './GeometryType.js';\nimport LinearRing from './LinearRing.js';\nimport Point from './Point.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { arrayMaxSquaredDelta, assignClosestArrayPoint } from './flat/closest.js';\nimport { closestSquaredDistanceXY, getCenter } from '../extent.js';\nimport { deflateCoordinatesArray } from './flat/deflate.js';\nimport { extend } from '../array.js';\nimport { getInteriorPointOfArray } from './flat/interiorpoint.js';\nimport { inflateCoordinatesArray } from './flat/inflate.js';\nimport { intersectsLinearRingArray } from './flat/intersectsextent.js';\nimport { linearRingsAreOriented, orientLinearRings } from './flat/orient.js';\nimport { linearRings as linearRingsArea } from './flat/area.js';\nimport { linearRingsContainsXY } from './flat/contains.js';\nimport { modulo } from '../math.js';\nimport { quantizeArray } from './flat/simplify.js';\nimport { offset as sphereOffset } from '../sphere.js';\n/**\n * @classdesc\n * Polygon geometry.\n *\n * @api\n */\nvar Polygon = /** @class */ (function (_super) {\n    __extends(Polygon, _super);\n    /**\n     * @param {!Array<Array<import(\"../coordinate.js\").Coordinate>>|!Array<number>} coordinates\n     *     Array of linear rings that define the polygon. The first linear ring of the\n     *     array defines the outer-boundary or surface of the polygon. Each subsequent\n     *     linear ring defines a hole in the surface of the polygon. A linear ring is\n     *     an array of vertices' coordinates where the first coordinate and the last are\n     *     equivalent. (For internal use, flat coordinates in combination with\n     *     `opt_layout` and `opt_ends` are also accepted.)\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @param {Array<number>} [opt_ends] Ends (for internal use with flat coordinates).\n     */\n    function Polygon(coordinates, opt_layout, opt_ends) {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {Array<number>}\n         * @private\n         */\n        _this.ends_ = [];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.flatInteriorPointRevision_ = -1;\n        /**\n         * @private\n         * @type {import(\"../coordinate.js\").Coordinate}\n         */\n        _this.flatInteriorPoint_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDeltaRevision_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.orientedRevision_ = -1;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.orientedFlatCoordinates_ = null;\n        if (opt_layout !== undefined && opt_ends) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n            _this.ends_ = opt_ends;\n        }\n        else {\n            _this.setCoordinates(\n            /** @type {Array<Array<import(\"../coordinate.js\").Coordinate>>} */ (coordinates), opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Append the passed linear ring to this polygon.\n     * @param {LinearRing} linearRing Linear ring.\n     * @api\n     */\n    Polygon.prototype.appendLinearRing = function (linearRing) {\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = linearRing.getFlatCoordinates().slice();\n        }\n        else {\n            extend(this.flatCoordinates, linearRing.getFlatCoordinates());\n        }\n        this.ends_.push(this.flatCoordinates.length);\n        this.changed();\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!Polygon} Clone.\n     * @api\n     */\n    Polygon.prototype.clone = function () {\n        var polygon = new Polygon(this.flatCoordinates.slice(), this.layout, this.ends_.slice());\n        polygon.applyProperties(this);\n        return polygon;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    Polygon.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        if (this.maxDeltaRevision_ != this.getRevision()) {\n            this.maxDelta_ = Math.sqrt(arrayMaxSquaredDelta(this.flatCoordinates, 0, this.ends_, this.stride, 0));\n            this.maxDeltaRevision_ = this.getRevision();\n        }\n        return assignClosestArrayPoint(this.flatCoordinates, 0, this.ends_, this.stride, this.maxDelta_, true, x, y, closestPoint, minSquaredDistance);\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @return {boolean} Contains (x, y).\n     */\n    Polygon.prototype.containsXY = function (x, y) {\n        return linearRingsContainsXY(this.getOrientedFlatCoordinates(), 0, this.ends_, this.stride, x, y);\n    };\n    /**\n     * Return the area of the polygon on projected plane.\n     * @return {number} Area (on projected plane).\n     * @api\n     */\n    Polygon.prototype.getArea = function () {\n        return linearRingsArea(this.getOrientedFlatCoordinates(), 0, this.ends_, this.stride);\n    };\n    /**\n     * Get the coordinate array for this geometry.  This array has the structure\n     * of a GeoJSON coordinate array for polygons.\n     *\n     * @param {boolean} [opt_right] Orient coordinates according to the right-hand\n     *     rule (counter-clockwise for exterior and clockwise for interior rings).\n     *     If `false`, coordinates will be oriented according to the left-hand rule\n     *     (clockwise for exterior and counter-clockwise for interior rings).\n     *     By default, coordinate orientation will depend on how the geometry was\n     *     constructed.\n     * @return {Array<Array<import(\"../coordinate.js\").Coordinate>>} Coordinates.\n     * @api\n     */\n    Polygon.prototype.getCoordinates = function (opt_right) {\n        var flatCoordinates;\n        if (opt_right !== undefined) {\n            flatCoordinates = this.getOrientedFlatCoordinates().slice();\n            orientLinearRings(flatCoordinates, 0, this.ends_, this.stride, opt_right);\n        }\n        else {\n            flatCoordinates = this.flatCoordinates;\n        }\n        return inflateCoordinatesArray(flatCoordinates, 0, this.ends_, this.stride);\n    };\n    /**\n     * @return {Array<number>} Ends.\n     */\n    Polygon.prototype.getEnds = function () {\n        return this.ends_;\n    };\n    /**\n     * @return {Array<number>} Interior point.\n     */\n    Polygon.prototype.getFlatInteriorPoint = function () {\n        if (this.flatInteriorPointRevision_ != this.getRevision()) {\n            var flatCenter = getCenter(this.getExtent());\n            this.flatInteriorPoint_ = getInteriorPointOfArray(this.getOrientedFlatCoordinates(), 0, this.ends_, this.stride, flatCenter, 0);\n            this.flatInteriorPointRevision_ = this.getRevision();\n        }\n        return this.flatInteriorPoint_;\n    };\n    /**\n     * Return an interior point of the polygon.\n     * @return {Point} Interior point as XYM coordinate, where M is the\n     * length of the horizontal intersection that the point belongs to.\n     * @api\n     */\n    Polygon.prototype.getInteriorPoint = function () {\n        return new Point(this.getFlatInteriorPoint(), GeometryLayout.XYM);\n    };\n    /**\n     * Return the number of rings of the polygon,  this includes the exterior\n     * ring and any interior rings.\n     *\n     * @return {number} Number of rings.\n     * @api\n     */\n    Polygon.prototype.getLinearRingCount = function () {\n        return this.ends_.length;\n    };\n    /**\n     * Return the Nth linear ring of the polygon geometry. Return `null` if the\n     * given index is out of range.\n     * The exterior linear ring is available at index `0` and the interior rings\n     * at index `1` and beyond.\n     *\n     * @param {number} index Index.\n     * @return {LinearRing} Linear ring.\n     * @api\n     */\n    Polygon.prototype.getLinearRing = function (index) {\n        if (index < 0 || this.ends_.length <= index) {\n            return null;\n        }\n        return new LinearRing(this.flatCoordinates.slice(index === 0 ? 0 : this.ends_[index - 1], this.ends_[index]), this.layout);\n    };\n    /**\n     * Return the linear rings of the polygon.\n     * @return {Array<LinearRing>} Linear rings.\n     * @api\n     */\n    Polygon.prototype.getLinearRings = function () {\n        var layout = this.layout;\n        var flatCoordinates = this.flatCoordinates;\n        var ends = this.ends_;\n        var linearRings = [];\n        var offset = 0;\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            var end = ends[i];\n            var linearRing = new LinearRing(flatCoordinates.slice(offset, end), layout);\n            linearRings.push(linearRing);\n            offset = end;\n        }\n        return linearRings;\n    };\n    /**\n     * @return {Array<number>} Oriented flat coordinates.\n     */\n    Polygon.prototype.getOrientedFlatCoordinates = function () {\n        if (this.orientedRevision_ != this.getRevision()) {\n            var flatCoordinates = this.flatCoordinates;\n            if (linearRingsAreOriented(flatCoordinates, 0, this.ends_, this.stride)) {\n                this.orientedFlatCoordinates_ = flatCoordinates;\n            }\n            else {\n                this.orientedFlatCoordinates_ = flatCoordinates.slice();\n                this.orientedFlatCoordinates_.length = orientLinearRings(this.orientedFlatCoordinates_, 0, this.ends_, this.stride);\n            }\n            this.orientedRevision_ = this.getRevision();\n        }\n        return this.orientedFlatCoordinates_;\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {Polygon} Simplified Polygon.\n     * @protected\n     */\n    Polygon.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        var simplifiedFlatCoordinates = [];\n        var simplifiedEnds = [];\n        simplifiedFlatCoordinates.length = quantizeArray(this.flatCoordinates, 0, this.ends_, this.stride, Math.sqrt(squaredTolerance), simplifiedFlatCoordinates, 0, simplifiedEnds);\n        return new Polygon(simplifiedFlatCoordinates, GeometryLayout.XY, simplifiedEnds);\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    Polygon.prototype.getType = function () {\n        return GeometryType.POLYGON;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    Polygon.prototype.intersectsExtent = function (extent) {\n        return intersectsLinearRingArray(this.getOrientedFlatCoordinates(), 0, this.ends_, this.stride, extent);\n    };\n    /**\n     * Set the coordinates of the polygon.\n     * @param {!Array<Array<import(\"../coordinate.js\").Coordinate>>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    Polygon.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 2);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        var ends = deflateCoordinatesArray(this.flatCoordinates, 0, coordinates, this.stride, this.ends_);\n        this.flatCoordinates.length = ends.length === 0 ? 0 : ends[ends.length - 1];\n        this.changed();\n    };\n    return Polygon;\n}(SimpleGeometry));\nexport default Polygon;\n/**\n * Create an approximation of a circle on the surface of a sphere.\n * @param {import(\"../coordinate.js\").Coordinate} center Center (`[lon, lat]` in degrees).\n * @param {number} radius The great-circle distance from the center to\n *     the polygon vertices in meters.\n * @param {number} [opt_n] Optional number of vertices for the resulting\n *     polygon. Default is `32`.\n * @param {number} [opt_sphereRadius] Optional radius for the sphere (defaults to\n *     the Earth's mean radius using the WGS84 ellipsoid).\n * @return {Polygon} The \"circular\" polygon.\n * @api\n */\nexport function circular(center, radius, opt_n, opt_sphereRadius) {\n    var n = opt_n ? opt_n : 32;\n    /** @type {Array<number>} */\n    var flatCoordinates = [];\n    for (var i = 0; i < n; ++i) {\n        extend(flatCoordinates, sphereOffset(center, radius, (2 * Math.PI * i) / n, opt_sphereRadius));\n    }\n    flatCoordinates.push(flatCoordinates[0], flatCoordinates[1]);\n    return new Polygon(flatCoordinates, GeometryLayout.XY, [\n        flatCoordinates.length,\n    ]);\n}\n/**\n * Create a polygon from an extent. The layout used is `XY`.\n * @param {import(\"../extent.js\").Extent} extent The extent.\n * @return {Polygon} The polygon.\n * @api\n */\nexport function fromExtent(extent) {\n    var minX = extent[0];\n    var minY = extent[1];\n    var maxX = extent[2];\n    var maxY = extent[3];\n    var flatCoordinates = [\n        minX,\n        minY,\n        minX,\n        maxY,\n        maxX,\n        maxY,\n        maxX,\n        minY,\n        minX,\n        minY,\n    ];\n    return new Polygon(flatCoordinates, GeometryLayout.XY, [\n        flatCoordinates.length,\n    ]);\n}\n/**\n * Create a regular polygon from a circle.\n * @param {import(\"./Circle.js\").default} circle Circle geometry.\n * @param {number} [opt_sides] Number of sides of the polygon. Default is 32.\n * @param {number} [opt_angle] Start angle for the first vertex of the polygon in\n *     counter-clockwise radians. 0 means East. Default is 0.\n * @return {Polygon} Polygon geometry.\n * @api\n */\nexport function fromCircle(circle, opt_sides, opt_angle) {\n    var sides = opt_sides ? opt_sides : 32;\n    var stride = circle.getStride();\n    var layout = circle.getLayout();\n    var center = circle.getCenter();\n    var arrayLength = stride * (sides + 1);\n    var flatCoordinates = new Array(arrayLength);\n    for (var i = 0; i < arrayLength; i += stride) {\n        flatCoordinates[i] = 0;\n        flatCoordinates[i + 1] = 0;\n        for (var j = 2; j < stride; j++) {\n            flatCoordinates[i + j] = center[j];\n        }\n    }\n    var ends = [flatCoordinates.length];\n    var polygon = new Polygon(flatCoordinates, layout, ends);\n    makeRegular(polygon, center, circle.getRadius(), opt_angle);\n    return polygon;\n}\n/**\n * Modify the coordinates of a polygon to make it a regular polygon.\n * @param {Polygon} polygon Polygon geometry.\n * @param {import(\"../coordinate.js\").Coordinate} center Center of the regular polygon.\n * @param {number} radius Radius of the regular polygon.\n * @param {number} [opt_angle] Start angle for the first vertex of the polygon in\n *     counter-clockwise radians. 0 means East. Default is 0.\n */\nexport function makeRegular(polygon, center, radius, opt_angle) {\n    var flatCoordinates = polygon.getFlatCoordinates();\n    var stride = polygon.getStride();\n    var sides = flatCoordinates.length / stride - 1;\n    var startAngle = opt_angle ? opt_angle : 0;\n    for (var i = 0; i <= sides; ++i) {\n        var offset = i * stride;\n        var angle = startAngle + (modulo(i, sides) * 2 * Math.PI) / sides;\n        flatCoordinates[offset] = center[0] + radius * Math.cos(angle);\n        flatCoordinates[offset + 1] = center[1] + radius * Math.sin(angle);\n    }\n    polygon.changed();\n}\n//# sourceMappingURL=Polygon.js.map","/**\n * @module ol/render/EventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered before a layer is rendered.\n     * @event module:ol/render/Event~RenderEvent#prerender\n     * @api\n     */\n    PRERENDER: 'prerender',\n    /**\n     * Triggered after a layer is rendered.\n     * @event module:ol/render/Event~RenderEvent#postrender\n     * @api\n     */\n    POSTRENDER: 'postrender',\n    /**\n     * Triggered before layers are composed.  When dispatched by the map, the event object will not have\n     * a `context` set.  When dispatched by a layer, the event object will have a `context` set.  Only\n     * WebGL layers currently dispatch this event.\n     * @event module:ol/render/Event~RenderEvent#precompose\n     * @api\n     */\n    PRECOMPOSE: 'precompose',\n    /**\n     * Triggered after layers are composed.  When dispatched by the map, the event object will not have\n     * a `context` set.  When dispatched by a layer, the event object will have a `context` set.  Only\n     * WebGL layers currently dispatch this event.\n     * @event module:ol/render/Event~RenderEvent#postcompose\n     * @api\n     */\n    POSTCOMPOSE: 'postcompose',\n    /**\n     * Triggered when rendering is complete, i.e. all sources and tiles have\n     * finished loading for the current viewport, and all tiles are faded in.\n     * The event object will not have a `context` set.\n     * @event module:ol/render/Event~RenderEvent#rendercomplete\n     * @api\n     */\n    RENDERCOMPLETE: 'rendercomplete',\n};\n/**\n * @typedef {'postrender'|'precompose'|'postcompose'|'rendercomplete'} MapRenderEventTypes\n */\n/**\n * @typedef {'postrender'|'prerender'} LayerRenderEventTypes\n */\n//# sourceMappingURL=EventType.js.map","/**\n * @module ol/style/Fill\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} [color=null] A color, gradient or pattern.\n * See {@link module:ol/color~Color} and {@link module:ol/colorlike~ColorLike} for possible formats.\n * Default null; if null, the Canvas/renderer default black will be used.\n */\n/**\n * @classdesc\n * Set fill style for vector features.\n * @api\n */\nvar Fill = /** @class */ (function () {\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Fill(opt_options) {\n        var options = opt_options || {};\n        /**\n         * @private\n         * @type {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike}\n         */\n        this.color_ = options.color !== undefined ? options.color : null;\n    }\n    /**\n     * Clones the style. The color is not cloned if it is an {@link module:ol/colorlike~ColorLike}.\n     * @return {Fill} The cloned style.\n     * @api\n     */\n    Fill.prototype.clone = function () {\n        var color = this.getColor();\n        return new Fill({\n            color: Array.isArray(color) ? color.slice() : color || undefined,\n        });\n    };\n    /**\n     * Get the fill color.\n     * @return {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} Color.\n     * @api\n     */\n    Fill.prototype.getColor = function () {\n        return this.color_;\n    };\n    /**\n     * Set the color.\n     *\n     * @param {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} color Color.\n     * @api\n     */\n    Fill.prototype.setColor = function (color) {\n        this.color_ = color;\n    };\n    return Fill;\n}());\nexport default Fill;\n//# sourceMappingURL=Fill.js.map","/**\n * @module ol/geom/flat/interpolate\n */\nimport { binarySearch } from '../../array.js';\nimport { lerp } from '../../math.js';\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} fraction Fraction.\n * @param {Array<number>} [opt_dest] Destination.\n * @param {number} [opt_dimension] Destination dimension (default is `2`)\n * @return {Array<number>} Destination.\n */\nexport function interpolatePoint(flatCoordinates, offset, end, stride, fraction, opt_dest, opt_dimension) {\n    var o, t;\n    var n = (end - offset) / stride;\n    if (n === 1) {\n        o = offset;\n    }\n    else if (n === 2) {\n        o = offset;\n        t = fraction;\n    }\n    else if (n !== 0) {\n        var x1 = flatCoordinates[offset];\n        var y1 = flatCoordinates[offset + 1];\n        var length_1 = 0;\n        var cumulativeLengths = [0];\n        for (var i = offset + stride; i < end; i += stride) {\n            var x2 = flatCoordinates[i];\n            var y2 = flatCoordinates[i + 1];\n            length_1 += Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1));\n            cumulativeLengths.push(length_1);\n            x1 = x2;\n            y1 = y2;\n        }\n        var target = fraction * length_1;\n        var index = binarySearch(cumulativeLengths, target);\n        if (index < 0) {\n            t =\n                (target - cumulativeLengths[-index - 2]) /\n                    (cumulativeLengths[-index - 1] - cumulativeLengths[-index - 2]);\n            o = offset + (-index - 2) * stride;\n        }\n        else {\n            o = offset + index * stride;\n        }\n    }\n    var dimension = opt_dimension > 1 ? opt_dimension : 2;\n    var dest = opt_dest ? opt_dest : new Array(dimension);\n    for (var i = 0; i < dimension; ++i) {\n        dest[i] =\n            o === undefined\n                ? NaN\n                : t === undefined\n                    ? flatCoordinates[o + i]\n                    : lerp(flatCoordinates[o + i], flatCoordinates[o + stride + i], t);\n    }\n    return dest;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @param {number} m M.\n * @param {boolean} extrapolate Extrapolate.\n * @return {import(\"../../coordinate.js\").Coordinate} Coordinate.\n */\nexport function lineStringCoordinateAtM(flatCoordinates, offset, end, stride, m, extrapolate) {\n    if (end == offset) {\n        return null;\n    }\n    var coordinate;\n    if (m < flatCoordinates[offset + stride - 1]) {\n        if (extrapolate) {\n            coordinate = flatCoordinates.slice(offset, offset + stride);\n            coordinate[stride - 1] = m;\n            return coordinate;\n        }\n        else {\n            return null;\n        }\n    }\n    else if (flatCoordinates[end - 1] < m) {\n        if (extrapolate) {\n            coordinate = flatCoordinates.slice(end - stride, end);\n            coordinate[stride - 1] = m;\n            return coordinate;\n        }\n        else {\n            return null;\n        }\n    }\n    // FIXME use O(1) search\n    if (m == flatCoordinates[offset + stride - 1]) {\n        return flatCoordinates.slice(offset, offset + stride);\n    }\n    var lo = offset / stride;\n    var hi = end / stride;\n    while (lo < hi) {\n        var mid = (lo + hi) >> 1;\n        if (m < flatCoordinates[(mid + 1) * stride - 1]) {\n            hi = mid;\n        }\n        else {\n            lo = mid + 1;\n        }\n    }\n    var m0 = flatCoordinates[lo * stride - 1];\n    if (m == m0) {\n        return flatCoordinates.slice((lo - 1) * stride, (lo - 1) * stride + stride);\n    }\n    var m1 = flatCoordinates[(lo + 1) * stride - 1];\n    var t = (m - m0) / (m1 - m0);\n    coordinate = [];\n    for (var i = 0; i < stride - 1; ++i) {\n        coordinate.push(lerp(flatCoordinates[(lo - 1) * stride + i], flatCoordinates[lo * stride + i], t));\n    }\n    coordinate.push(m);\n    return coordinate;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<number>} ends Ends.\n * @param {number} stride Stride.\n * @param {number} m M.\n * @param {boolean} extrapolate Extrapolate.\n * @param {boolean} interpolate Interpolate.\n * @return {import(\"../../coordinate.js\").Coordinate} Coordinate.\n */\nexport function lineStringsCoordinateAtM(flatCoordinates, offset, ends, stride, m, extrapolate, interpolate) {\n    if (interpolate) {\n        return lineStringCoordinateAtM(flatCoordinates, offset, ends[ends.length - 1], stride, m, extrapolate);\n    }\n    var coordinate;\n    if (m < flatCoordinates[stride - 1]) {\n        if (extrapolate) {\n            coordinate = flatCoordinates.slice(0, stride);\n            coordinate[stride - 1] = m;\n            return coordinate;\n        }\n        else {\n            return null;\n        }\n    }\n    if (flatCoordinates[flatCoordinates.length - 1] < m) {\n        if (extrapolate) {\n            coordinate = flatCoordinates.slice(flatCoordinates.length - stride);\n            coordinate[stride - 1] = m;\n            return coordinate;\n        }\n        else {\n            return null;\n        }\n    }\n    for (var i = 0, ii = ends.length; i < ii; ++i) {\n        var end = ends[i];\n        if (offset == end) {\n            continue;\n        }\n        if (m < flatCoordinates[offset + stride - 1]) {\n            return null;\n        }\n        else if (m <= flatCoordinates[end - 1]) {\n            return lineStringCoordinateAtM(flatCoordinates, offset, end, stride, m, false);\n        }\n        offset = end;\n    }\n    return null;\n}\n//# sourceMappingURL=interpolate.js.map","/**\n * @module ol/geom/flat/length\n */\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {number} Length.\n */\nexport function lineStringLength(flatCoordinates, offset, end, stride) {\n    var x1 = flatCoordinates[offset];\n    var y1 = flatCoordinates[offset + 1];\n    var length = 0;\n    for (var i = offset + stride; i < end; i += stride) {\n        var x2 = flatCoordinates[i];\n        var y2 = flatCoordinates[i + 1];\n        length += Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1));\n        x1 = x2;\n        y1 = y2;\n    }\n    return length;\n}\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {number} Perimeter.\n */\nexport function linearRingLength(flatCoordinates, offset, end, stride) {\n    var perimeter = lineStringLength(flatCoordinates, offset, end, stride);\n    var dx = flatCoordinates[end - stride] - flatCoordinates[offset];\n    var dy = flatCoordinates[end - stride + 1] - flatCoordinates[offset + 1];\n    perimeter += Math.sqrt(dx * dx + dy * dy);\n    return perimeter;\n}\n//# sourceMappingURL=length.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/LineString\n */\nimport GeometryLayout from './GeometryLayout.js';\nimport GeometryType from './GeometryType.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { assignClosestPoint, maxSquaredDelta } from './flat/closest.js';\nimport { closestSquaredDistanceXY } from '../extent.js';\nimport { deflateCoordinates } from './flat/deflate.js';\nimport { douglasPeucker } from './flat/simplify.js';\nimport { extend } from '../array.js';\nimport { forEach as forEachSegment } from './flat/segments.js';\nimport { inflateCoordinates } from './flat/inflate.js';\nimport { interpolatePoint, lineStringCoordinateAtM } from './flat/interpolate.js';\nimport { intersectsLineString } from './flat/intersectsextent.js';\nimport { lineStringLength } from './flat/length.js';\n/**\n * @classdesc\n * Linestring geometry.\n *\n * @api\n */\nvar LineString = /** @class */ (function (_super) {\n    __extends(LineString, _super);\n    /**\n     * @param {Array<import(\"../coordinate.js\").Coordinate>|Array<number>} coordinates Coordinates.\n     *     For internal use, flat coordinates in combination with `opt_layout` are also accepted.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    function LineString(coordinates, opt_layout) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {import(\"../coordinate.js\").Coordinate}\n         */\n        _this.flatMidpoint_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.flatMidpointRevision_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDeltaRevision_ = -1;\n        if (opt_layout !== undefined && !Array.isArray(coordinates[0])) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n        }\n        else {\n            _this.setCoordinates(\n            /** @type {Array<import(\"../coordinate.js\").Coordinate>} */ (coordinates), opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Append the passed coordinate to the coordinates of the linestring.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @api\n     */\n    LineString.prototype.appendCoordinate = function (coordinate) {\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = coordinate.slice();\n        }\n        else {\n            extend(this.flatCoordinates, coordinate);\n        }\n        this.changed();\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!LineString} Clone.\n     * @api\n     */\n    LineString.prototype.clone = function () {\n        var lineString = new LineString(this.flatCoordinates.slice(), this.layout);\n        lineString.applyProperties(this);\n        return lineString;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    LineString.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        if (this.maxDeltaRevision_ != this.getRevision()) {\n            this.maxDelta_ = Math.sqrt(maxSquaredDelta(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, 0));\n            this.maxDeltaRevision_ = this.getRevision();\n        }\n        return assignClosestPoint(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, this.maxDelta_, false, x, y, closestPoint, minSquaredDistance);\n    };\n    /**\n     * Iterate over each segment, calling the provided callback.\n     * If the callback returns a truthy value the function returns that\n     * value immediately. Otherwise the function returns `false`.\n     *\n     * @param {function(this: S, import(\"../coordinate.js\").Coordinate, import(\"../coordinate.js\").Coordinate): T} callback Function\n     *     called for each segment. The function will receive two arguments, the start and end coordinates of the segment.\n     * @return {T|boolean} Value.\n     * @template T,S\n     * @api\n     */\n    LineString.prototype.forEachSegment = function (callback) {\n        return forEachSegment(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, callback);\n    };\n    /**\n     * Returns the coordinate at `m` using linear interpolation, or `null` if no\n     * such coordinate exists.\n     *\n     * `opt_extrapolate` controls extrapolation beyond the range of Ms in the\n     * MultiLineString. If `opt_extrapolate` is `true` then Ms less than the first\n     * M will return the first coordinate and Ms greater than the last M will\n     * return the last coordinate.\n     *\n     * @param {number} m M.\n     * @param {boolean} [opt_extrapolate] Extrapolate. Default is `false`.\n     * @return {import(\"../coordinate.js\").Coordinate} Coordinate.\n     * @api\n     */\n    LineString.prototype.getCoordinateAtM = function (m, opt_extrapolate) {\n        if (this.layout != GeometryLayout.XYM &&\n            this.layout != GeometryLayout.XYZM) {\n            return null;\n        }\n        var extrapolate = opt_extrapolate !== undefined ? opt_extrapolate : false;\n        return lineStringCoordinateAtM(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, m, extrapolate);\n    };\n    /**\n     * Return the coordinates of the linestring.\n     * @return {Array<import(\"../coordinate.js\").Coordinate>} Coordinates.\n     * @api\n     */\n    LineString.prototype.getCoordinates = function () {\n        return inflateCoordinates(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride);\n    };\n    /**\n     * Return the coordinate at the provided fraction along the linestring.\n     * The `fraction` is a number between 0 and 1, where 0 is the start of the\n     * linestring and 1 is the end.\n     * @param {number} fraction Fraction.\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_dest] Optional coordinate whose values will\n     *     be modified. If not provided, a new coordinate will be returned.\n     * @return {import(\"../coordinate.js\").Coordinate} Coordinate of the interpolated point.\n     * @api\n     */\n    LineString.prototype.getCoordinateAt = function (fraction, opt_dest) {\n        return interpolatePoint(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, fraction, opt_dest, this.stride);\n    };\n    /**\n     * Return the length of the linestring on projected plane.\n     * @return {number} Length (on projected plane).\n     * @api\n     */\n    LineString.prototype.getLength = function () {\n        return lineStringLength(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride);\n    };\n    /**\n     * @return {Array<number>} Flat midpoint.\n     */\n    LineString.prototype.getFlatMidpoint = function () {\n        if (this.flatMidpointRevision_ != this.getRevision()) {\n            this.flatMidpoint_ = this.getCoordinateAt(0.5, this.flatMidpoint_);\n            this.flatMidpointRevision_ = this.getRevision();\n        }\n        return this.flatMidpoint_;\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {LineString} Simplified LineString.\n     * @protected\n     */\n    LineString.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        var simplifiedFlatCoordinates = [];\n        simplifiedFlatCoordinates.length = douglasPeucker(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, squaredTolerance, simplifiedFlatCoordinates, 0);\n        return new LineString(simplifiedFlatCoordinates, GeometryLayout.XY);\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    LineString.prototype.getType = function () {\n        return GeometryType.LINE_STRING;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    LineString.prototype.intersectsExtent = function (extent) {\n        return intersectsLineString(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride, extent);\n    };\n    /**\n     * Set the coordinates of the linestring.\n     * @param {!Array<import(\"../coordinate.js\").Coordinate>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    LineString.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 1);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        this.flatCoordinates.length = deflateCoordinates(this.flatCoordinates, 0, coordinates, this.stride);\n        this.changed();\n    };\n    return LineString;\n}(SimpleGeometry));\nexport default LineString;\n//# sourceMappingURL=LineString.js.map","/**\n * @module ol/style/Stroke\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} [color] A color, gradient or pattern.\n * See {@link module:ol/color~Color} and {@link module:ol/colorlike~ColorLike} for possible formats.\n * Default null; if null, the Canvas/renderer default black will be used.\n * @property {CanvasLineCap} [lineCap='round'] Line cap style: `butt`, `round`, or `square`.\n * @property {CanvasLineJoin} [lineJoin='round'] Line join style: `bevel`, `round`, or `miter`.\n * @property {Array<number>} [lineDash] Line dash pattern. Default is `null` (no dash).\n * Please note that Internet Explorer 10 and lower do not support the `setLineDash` method on\n * the `CanvasRenderingContext2D` and therefore this option will have no visual effect in these browsers.\n * @property {number} [lineDashOffset=0] Line dash offset.\n * @property {number} [miterLimit=10] Miter limit.\n * @property {number} [width] Width.\n */\n/**\n * @classdesc\n * Set stroke style for vector features.\n * Note that the defaults given are the Canvas defaults, which will be used if\n * option is not defined. The `get` functions return whatever was entered in\n * the options; they will not return the default.\n * @api\n */\nvar Stroke = /** @class */ (function () {\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Stroke(opt_options) {\n        var options = opt_options || {};\n        /**\n         * @private\n         * @type {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike}\n         */\n        this.color_ = options.color !== undefined ? options.color : null;\n        /**\n         * @private\n         * @type {CanvasLineCap|undefined}\n         */\n        this.lineCap_ = options.lineCap;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.lineDash_ = options.lineDash !== undefined ? options.lineDash : null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.lineDashOffset_ = options.lineDashOffset;\n        /**\n         * @private\n         * @type {CanvasLineJoin|undefined}\n         */\n        this.lineJoin_ = options.lineJoin;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.miterLimit_ = options.miterLimit;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.width_ = options.width;\n    }\n    /**\n     * Clones the style.\n     * @return {Stroke} The cloned style.\n     * @api\n     */\n    Stroke.prototype.clone = function () {\n        var color = this.getColor();\n        return new Stroke({\n            color: Array.isArray(color) ? color.slice() : color || undefined,\n            lineCap: this.getLineCap(),\n            lineDash: this.getLineDash() ? this.getLineDash().slice() : undefined,\n            lineDashOffset: this.getLineDashOffset(),\n            lineJoin: this.getLineJoin(),\n            miterLimit: this.getMiterLimit(),\n            width: this.getWidth(),\n        });\n    };\n    /**\n     * Get the stroke color.\n     * @return {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} Color.\n     * @api\n     */\n    Stroke.prototype.getColor = function () {\n        return this.color_;\n    };\n    /**\n     * Get the line cap type for the stroke.\n     * @return {CanvasLineCap|undefined} Line cap.\n     * @api\n     */\n    Stroke.prototype.getLineCap = function () {\n        return this.lineCap_;\n    };\n    /**\n     * Get the line dash style for the stroke.\n     * @return {Array<number>} Line dash.\n     * @api\n     */\n    Stroke.prototype.getLineDash = function () {\n        return this.lineDash_;\n    };\n    /**\n     * Get the line dash offset for the stroke.\n     * @return {number|undefined} Line dash offset.\n     * @api\n     */\n    Stroke.prototype.getLineDashOffset = function () {\n        return this.lineDashOffset_;\n    };\n    /**\n     * Get the line join type for the stroke.\n     * @return {CanvasLineJoin|undefined} Line join.\n     * @api\n     */\n    Stroke.prototype.getLineJoin = function () {\n        return this.lineJoin_;\n    };\n    /**\n     * Get the miter limit for the stroke.\n     * @return {number|undefined} Miter limit.\n     * @api\n     */\n    Stroke.prototype.getMiterLimit = function () {\n        return this.miterLimit_;\n    };\n    /**\n     * Get the stroke width.\n     * @return {number|undefined} Width.\n     * @api\n     */\n    Stroke.prototype.getWidth = function () {\n        return this.width_;\n    };\n    /**\n     * Set the color.\n     *\n     * @param {import(\"../color.js\").Color|import(\"../colorlike.js\").ColorLike} color Color.\n     * @api\n     */\n    Stroke.prototype.setColor = function (color) {\n        this.color_ = color;\n    };\n    /**\n     * Set the line cap.\n     *\n     * @param {CanvasLineCap|undefined} lineCap Line cap.\n     * @api\n     */\n    Stroke.prototype.setLineCap = function (lineCap) {\n        this.lineCap_ = lineCap;\n    };\n    /**\n     * Set the line dash.\n     *\n     * Please note that Internet Explorer 10 and lower [do not support][mdn] the\n     * `setLineDash` method on the `CanvasRenderingContext2D` and therefore this\n     * property will have no visual effect in these browsers.\n     *\n     * [mdn]: https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/setLineDash#Browser_compatibility\n     *\n     * @param {Array<number>} lineDash Line dash.\n     * @api\n     */\n    Stroke.prototype.setLineDash = function (lineDash) {\n        this.lineDash_ = lineDash;\n    };\n    /**\n     * Set the line dash offset.\n     *\n     * @param {number|undefined} lineDashOffset Line dash offset.\n     * @api\n     */\n    Stroke.prototype.setLineDashOffset = function (lineDashOffset) {\n        this.lineDashOffset_ = lineDashOffset;\n    };\n    /**\n     * Set the line join.\n     *\n     * @param {CanvasLineJoin|undefined} lineJoin Line join.\n     * @api\n     */\n    Stroke.prototype.setLineJoin = function (lineJoin) {\n        this.lineJoin_ = lineJoin;\n    };\n    /**\n     * Set the miter limit.\n     *\n     * @param {number|undefined} miterLimit Miter limit.\n     * @api\n     */\n    Stroke.prototype.setMiterLimit = function (miterLimit) {\n        this.miterLimit_ = miterLimit;\n    };\n    /**\n     * Set the width.\n     *\n     * @param {number|undefined} width Width.\n     * @api\n     */\n    Stroke.prototype.setWidth = function (width) {\n        this.width_ = width;\n    };\n    return Stroke;\n}());\nexport default Stroke;\n//# sourceMappingURL=Stroke.js.map","/**\n * @module ol/ImageState\n */\n/**\n * @enum {number}\n */\nexport default {\n    IDLE: 0,\n    LOADING: 1,\n    LOADED: 2,\n    ERROR: 3,\n    EMPTY: 4,\n};\n//# sourceMappingURL=ImageState.js.map","/**\n * @module ol/size\n */\n/**\n * An array of numbers representing a size: `[width, height]`.\n * @typedef {Array<number>} Size\n * @api\n */\n/**\n * Returns a buffered size.\n * @param {Size} size Size.\n * @param {number} num The amount by which to buffer.\n * @param {Size} [opt_size] Optional reusable size array.\n * @return {Size} The buffered size.\n */\nexport function buffer(size, num, opt_size) {\n    if (opt_size === undefined) {\n        opt_size = [0, 0];\n    }\n    opt_size[0] = size[0] + 2 * num;\n    opt_size[1] = size[1] + 2 * num;\n    return opt_size;\n}\n/**\n * Determines if a size has a positive area.\n * @param {Size} size The size to test.\n * @return {boolean} The size has a positive area.\n */\nexport function hasArea(size) {\n    return size[0] > 0 && size[1] > 0;\n}\n/**\n * Returns a size scaled by a ratio. The result will be an array of integers.\n * @param {Size} size Size.\n * @param {number} ratio Ratio.\n * @param {Size} [opt_size] Optional reusable size array.\n * @return {Size} The scaled size.\n */\nexport function scale(size, ratio, opt_size) {\n    if (opt_size === undefined) {\n        opt_size = [0, 0];\n    }\n    opt_size[0] = (size[0] * ratio + 0.5) | 0;\n    opt_size[1] = (size[1] * ratio + 0.5) | 0;\n    return opt_size;\n}\n/**\n * Returns an `Size` array for the passed in number (meaning: square) or\n * `Size` array.\n * (meaning: non-square),\n * @param {number|Size} size Width and height.\n * @param {Size} [opt_size] Optional reusable size array.\n * @return {Size} Size.\n * @api\n */\nexport function toSize(size, opt_size) {\n    if (Array.isArray(size)) {\n        return size;\n    }\n    else {\n        if (opt_size === undefined) {\n            opt_size = [size, size];\n        }\n        else {\n            opt_size[0] = size;\n            opt_size[1] = size;\n        }\n        return opt_size;\n    }\n}\n//# sourceMappingURL=size.js.map","/**\n * @module ol/style/Image\n */\nimport { abstract } from '../util.js';\nimport { toSize } from '../size.js';\n/**\n * @typedef {Object} Options\n * @property {number} opacity Opacity.\n * @property {boolean} rotateWithView If the image should get rotated with the view.\n * @property {number} rotation Rotation.\n * @property {number|import(\"../size.js\").Size} scale Scale.\n * @property {Array<number>} displacement Displacement.\n */\n/**\n * @classdesc\n * A base class used for creating subclasses and not instantiated in\n * apps. Base class for {@link module:ol/style/Icon~Icon}, {@link module:ol/style/Circle~CircleStyle} and\n * {@link module:ol/style/RegularShape~RegularShape}.\n * @abstract\n * @api\n */\nvar ImageStyle = /** @class */ (function () {\n    /**\n     * @param {Options} options Options.\n     */\n    function ImageStyle(options) {\n        /**\n         * @private\n         * @type {number}\n         */\n        this.opacity_ = options.opacity;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.rotateWithView_ = options.rotateWithView;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.rotation_ = options.rotation;\n        /**\n         * @private\n         * @type {number|import(\"../size.js\").Size}\n         */\n        this.scale_ = options.scale;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        this.scaleArray_ = toSize(options.scale);\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.displacement_ = options.displacement;\n    }\n    /**\n     * Clones the style.\n     * @return {ImageStyle} The cloned style.\n     * @api\n     */\n    ImageStyle.prototype.clone = function () {\n        var scale = this.getScale();\n        return new ImageStyle({\n            opacity: this.getOpacity(),\n            scale: Array.isArray(scale) ? scale.slice() : scale,\n            rotation: this.getRotation(),\n            rotateWithView: this.getRotateWithView(),\n            displacement: this.getDisplacement().slice(),\n        });\n    };\n    /**\n     * Get the symbolizer opacity.\n     * @return {number} Opacity.\n     * @api\n     */\n    ImageStyle.prototype.getOpacity = function () {\n        return this.opacity_;\n    };\n    /**\n     * Determine whether the symbolizer rotates with the map.\n     * @return {boolean} Rotate with map.\n     * @api\n     */\n    ImageStyle.prototype.getRotateWithView = function () {\n        return this.rotateWithView_;\n    };\n    /**\n     * Get the symoblizer rotation.\n     * @return {number} Rotation.\n     * @api\n     */\n    ImageStyle.prototype.getRotation = function () {\n        return this.rotation_;\n    };\n    /**\n     * Get the symbolizer scale.\n     * @return {number|import(\"../size.js\").Size} Scale.\n     * @api\n     */\n    ImageStyle.prototype.getScale = function () {\n        return this.scale_;\n    };\n    /**\n     * Get the symbolizer scale array.\n     * @return {import(\"../size.js\").Size} Scale array.\n     */\n    ImageStyle.prototype.getScaleArray = function () {\n        return this.scaleArray_;\n    };\n    /**\n     * Get the displacement of the shape\n     * @return {Array<number>} Shape's center displacement\n     * @api\n     */\n    ImageStyle.prototype.getDisplacement = function () {\n        return this.displacement_;\n    };\n    /**\n     * Get the anchor point in pixels. The anchor determines the center point for the\n     * symbolizer.\n     * @abstract\n     * @return {Array<number>} Anchor.\n     */\n    ImageStyle.prototype.getAnchor = function () {\n        return abstract();\n    };\n    /**\n     * Get the image element for the symbolizer.\n     * @abstract\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement} Image element.\n     */\n    ImageStyle.prototype.getImage = function (pixelRatio) {\n        return abstract();\n    };\n    /**\n     * @abstract\n     * @return {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement} Image element.\n     */\n    ImageStyle.prototype.getHitDetectionImage = function () {\n        return abstract();\n    };\n    /**\n     * Get the image pixel ratio.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Pixel ratio.\n     */\n    ImageStyle.prototype.getPixelRatio = function (pixelRatio) {\n        return 1;\n    };\n    /**\n     * @abstract\n     * @return {import(\"../ImageState.js\").default} Image state.\n     */\n    ImageStyle.prototype.getImageState = function () {\n        return abstract();\n    };\n    /**\n     * @abstract\n     * @return {import(\"../size.js\").Size} Image size.\n     */\n    ImageStyle.prototype.getImageSize = function () {\n        return abstract();\n    };\n    /**\n     * Get the origin of the symbolizer.\n     * @abstract\n     * @return {Array<number>} Origin.\n     */\n    ImageStyle.prototype.getOrigin = function () {\n        return abstract();\n    };\n    /**\n     * Get the size of the symbolizer (in pixels).\n     * @abstract\n     * @return {import(\"../size.js\").Size} Size.\n     */\n    ImageStyle.prototype.getSize = function () {\n        return abstract();\n    };\n    /**\n     * Set the displacement.\n     *\n     * @param {Array<number>} displacement Displacement.\n     * @api\n     */\n    ImageStyle.prototype.setDisplacement = function (displacement) {\n        this.displacement_ = displacement;\n    };\n    /**\n     * Set the opacity.\n     *\n     * @param {number} opacity Opacity.\n     * @api\n     */\n    ImageStyle.prototype.setOpacity = function (opacity) {\n        this.opacity_ = opacity;\n    };\n    /**\n     * Set whether to rotate the style with the view.\n     *\n     * @param {boolean} rotateWithView Rotate with map.\n     * @api\n     */\n    ImageStyle.prototype.setRotateWithView = function (rotateWithView) {\n        this.rotateWithView_ = rotateWithView;\n    };\n    /**\n     * Set the rotation.\n     *\n     * @param {number} rotation Rotation.\n     * @api\n     */\n    ImageStyle.prototype.setRotation = function (rotation) {\n        this.rotation_ = rotation;\n    };\n    /**\n     * Set the scale.\n     *\n     * @param {number|import(\"../size.js\").Size} scale Scale.\n     * @api\n     */\n    ImageStyle.prototype.setScale = function (scale) {\n        this.scale_ = scale;\n        this.scaleArray_ = toSize(scale);\n    };\n    /**\n     * @abstract\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    ImageStyle.prototype.listenImageChange = function (listener) {\n        abstract();\n    };\n    /**\n     * Load not yet loaded URI.\n     * @abstract\n     */\n    ImageStyle.prototype.load = function () {\n        abstract();\n    };\n    /**\n     * @abstract\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    ImageStyle.prototype.unlistenImageChange = function (listener) {\n        abstract();\n    };\n    return ImageStyle;\n}());\nexport default ImageStyle;\n//# sourceMappingURL=Image.js.map","/**\n * @module ol/color\n */\nimport { assert } from './asserts.js';\nimport { clamp } from './math.js';\n/**\n * A color represented as a short array [red, green, blue, alpha].\n * red, green, and blue should be integers in the range 0..255 inclusive.\n * alpha should be a float in the range 0..1 inclusive. If no alpha value is\n * given then `1` will be used.\n * @typedef {Array<number>} Color\n * @api\n */\n/**\n * This RegExp matches # followed by 3, 4, 6, or 8 hex digits.\n * @const\n * @type {RegExp}\n * @private\n */\nvar HEX_COLOR_RE_ = /^#([a-f0-9]{3}|[a-f0-9]{4}(?:[a-f0-9]{2}){0,2})$/i;\n/**\n * Regular expression for matching potential named color style strings.\n * @const\n * @type {RegExp}\n * @private\n */\nvar NAMED_COLOR_RE_ = /^([a-z]*)$|^hsla?\\(.*\\)$/i;\n/**\n * Return the color as an rgba string.\n * @param {Color|string} color Color.\n * @return {string} Rgba string.\n * @api\n */\nexport function asString(color) {\n    if (typeof color === 'string') {\n        return color;\n    }\n    else {\n        return toString(color);\n    }\n}\n/**\n * Return named color as an rgba string.\n * @param {string} color Named color.\n * @return {string} Rgb string.\n */\nfunction fromNamed(color) {\n    var el = document.createElement('div');\n    el.style.color = color;\n    if (el.style.color !== '') {\n        document.body.appendChild(el);\n        var rgb = getComputedStyle(el).color;\n        document.body.removeChild(el);\n        return rgb;\n    }\n    else {\n        return '';\n    }\n}\n/**\n * @param {string} s String.\n * @return {Color} Color.\n */\nexport var fromString = (function () {\n    // We maintain a small cache of parsed strings.  To provide cheap LRU-like\n    // semantics, whenever the cache grows too large we simply delete an\n    // arbitrary 25% of the entries.\n    /**\n     * @const\n     * @type {number}\n     */\n    var MAX_CACHE_SIZE = 1024;\n    /**\n     * @type {Object<string, Color>}\n     */\n    var cache = {};\n    /**\n     * @type {number}\n     */\n    var cacheSize = 0;\n    return (\n    /**\n     * @param {string} s String.\n     * @return {Color} Color.\n     */\n    function (s) {\n        var color;\n        if (cache.hasOwnProperty(s)) {\n            color = cache[s];\n        }\n        else {\n            if (cacheSize >= MAX_CACHE_SIZE) {\n                var i = 0;\n                for (var key in cache) {\n                    if ((i++ & 3) === 0) {\n                        delete cache[key];\n                        --cacheSize;\n                    }\n                }\n            }\n            color = fromStringInternal_(s);\n            cache[s] = color;\n            ++cacheSize;\n        }\n        return color;\n    });\n})();\n/**\n * Return the color as an array. This function maintains a cache of calculated\n * arrays which means the result should not be modified.\n * @param {Color|string} color Color.\n * @return {Color} Color.\n * @api\n */\nexport function asArray(color) {\n    if (Array.isArray(color)) {\n        return color;\n    }\n    else {\n        return fromString(color);\n    }\n}\n/**\n * @param {string} s String.\n * @private\n * @return {Color} Color.\n */\nfunction fromStringInternal_(s) {\n    var r, g, b, a, color;\n    if (NAMED_COLOR_RE_.exec(s)) {\n        s = fromNamed(s);\n    }\n    if (HEX_COLOR_RE_.exec(s)) {\n        // hex\n        var n = s.length - 1; // number of hex digits\n        var d = // number of digits per channel\n         void 0; // number of digits per channel\n        if (n <= 4) {\n            d = 1;\n        }\n        else {\n            d = 2;\n        }\n        var hasAlpha = n === 4 || n === 8;\n        r = parseInt(s.substr(1 + 0 * d, d), 16);\n        g = parseInt(s.substr(1 + 1 * d, d), 16);\n        b = parseInt(s.substr(1 + 2 * d, d), 16);\n        if (hasAlpha) {\n            a = parseInt(s.substr(1 + 3 * d, d), 16);\n        }\n        else {\n            a = 255;\n        }\n        if (d == 1) {\n            r = (r << 4) + r;\n            g = (g << 4) + g;\n            b = (b << 4) + b;\n            if (hasAlpha) {\n                a = (a << 4) + a;\n            }\n        }\n        color = [r, g, b, a / 255];\n    }\n    else if (s.indexOf('rgba(') == 0) {\n        // rgba()\n        color = s.slice(5, -1).split(',').map(Number);\n        normalize(color);\n    }\n    else if (s.indexOf('rgb(') == 0) {\n        // rgb()\n        color = s.slice(4, -1).split(',').map(Number);\n        color.push(1);\n        normalize(color);\n    }\n    else {\n        assert(false, 14); // Invalid color\n    }\n    return color;\n}\n/**\n * TODO this function is only used in the test, we probably shouldn't export it\n * @param {Color} color Color.\n * @return {Color} Clamped color.\n */\nexport function normalize(color) {\n    color[0] = clamp((color[0] + 0.5) | 0, 0, 255);\n    color[1] = clamp((color[1] + 0.5) | 0, 0, 255);\n    color[2] = clamp((color[2] + 0.5) | 0, 0, 255);\n    color[3] = clamp(color[3], 0, 1);\n    return color;\n}\n/**\n * @param {Color} color Color.\n * @return {string} String.\n */\nexport function toString(color) {\n    var r = color[0];\n    if (r != (r | 0)) {\n        r = (r + 0.5) | 0;\n    }\n    var g = color[1];\n    if (g != (g | 0)) {\n        g = (g + 0.5) | 0;\n    }\n    var b = color[2];\n    if (b != (b | 0)) {\n        b = (b + 0.5) | 0;\n    }\n    var a = color[3] === undefined ? 1 : Math.round(color[3] * 100) / 100;\n    return 'rgba(' + r + ',' + g + ',' + b + ',' + a + ')';\n}\n/**\n * @param {string} s String.\n * @return {boolean} Whether the string is actually a valid color\n */\nexport function isStringColor(s) {\n    if (NAMED_COLOR_RE_.test(s)) {\n        s = fromNamed(s);\n    }\n    return (HEX_COLOR_RE_.test(s) || s.indexOf('rgba(') === 0 || s.indexOf('rgb(') === 0);\n}\n//# sourceMappingURL=color.js.map","/**\n * @module ol/colorlike\n */\nimport { toString } from './color.js';\n/**\n * A type accepted by CanvasRenderingContext2D.fillStyle\n * or CanvasRenderingContext2D.strokeStyle.\n * Represents a color, pattern, or gradient. The origin for patterns and\n * gradients as fill style is an increment of 512 css pixels from map coordinate\n * `[0, 0]`. For seamless repeat patterns, width and height of the pattern image\n * must be a factor of two (2, 4, 8, ..., 512).\n *\n * @typedef {string|CanvasPattern|CanvasGradient} ColorLike\n * @api\n */\n/**\n * @param {import(\"./color.js\").Color|ColorLike} color Color.\n * @return {ColorLike} The color as an {@link ol/colorlike~ColorLike}.\n * @api\n */\nexport function asColorLike(color) {\n    if (Array.isArray(color)) {\n        return toString(color);\n    }\n    else {\n        return color;\n    }\n}\n//# sourceMappingURL=colorlike.js.map","import { WORKER_OFFSCREEN_CANVAS } from './has.js';\n/**\n * @module ol/dom\n */\n//FIXME Move this function to the canvas module\n/**\n * Create an html canvas element and returns its 2d context.\n * @param {number} [opt_width] Canvas width.\n * @param {number} [opt_height] Canvas height.\n * @param {Array<HTMLCanvasElement>} [opt_canvasPool] Canvas pool to take existing canvas from.\n * @param {CanvasRenderingContext2DSettings} [opt_Context2DSettings] CanvasRenderingContext2DSettings\n * @return {CanvasRenderingContext2D} The context.\n */\nexport function createCanvasContext2D(opt_width, opt_height, opt_canvasPool, opt_Context2DSettings) {\n    /** @type {HTMLCanvasElement|OffscreenCanvas} */\n    var canvas;\n    if (opt_canvasPool && opt_canvasPool.length) {\n        canvas = opt_canvasPool.shift();\n    }\n    else if (WORKER_OFFSCREEN_CANVAS) {\n        canvas = new OffscreenCanvas(opt_width || 300, opt_height || 300);\n    }\n    else {\n        canvas = document.createElement('canvas');\n    }\n    if (opt_width) {\n        canvas.width = opt_width;\n    }\n    if (opt_height) {\n        canvas.height = opt_height;\n    }\n    //FIXME Allow OffscreenCanvasRenderingContext2D as return type\n    return /** @type {CanvasRenderingContext2D} */ (canvas.getContext('2d', opt_Context2DSettings));\n}\n/**\n * Get the current computed width for the given element including margin,\n * padding and border.\n * Equivalent to jQuery's `$(el).outerWidth(true)`.\n * @param {!HTMLElement} element Element.\n * @return {number} The width.\n */\nexport function outerWidth(element) {\n    var width = element.offsetWidth;\n    var style = getComputedStyle(element);\n    width += parseInt(style.marginLeft, 10) + parseInt(style.marginRight, 10);\n    return width;\n}\n/**\n * Get the current computed height for the given element including margin,\n * padding and border.\n * Equivalent to jQuery's `$(el).outerHeight(true)`.\n * @param {!HTMLElement} element Element.\n * @return {number} The height.\n */\nexport function outerHeight(element) {\n    var height = element.offsetHeight;\n    var style = getComputedStyle(element);\n    height += parseInt(style.marginTop, 10) + parseInt(style.marginBottom, 10);\n    return height;\n}\n/**\n * @param {Node} newNode Node to replace old node\n * @param {Node} oldNode The node to be replaced\n */\nexport function replaceNode(newNode, oldNode) {\n    var parent = oldNode.parentNode;\n    if (parent) {\n        parent.replaceChild(newNode, oldNode);\n    }\n}\n/**\n * @param {Node} node The node to remove.\n * @return {Node} The node that was removed or null.\n */\nexport function removeNode(node) {\n    return node && node.parentNode ? node.parentNode.removeChild(node) : null;\n}\n/**\n * @param {Node} node The node to remove the children from.\n */\nexport function removeChildren(node) {\n    while (node.lastChild) {\n        node.removeChild(node.lastChild);\n    }\n}\n/**\n * Transform the children of a parent node so they match the\n * provided list of children.  This function aims to efficiently\n * remove, add, and reorder child nodes while maintaining a simple\n * implementation (it is not guaranteed to minimize DOM operations).\n * @param {Node} node The parent node whose children need reworking.\n * @param {Array<Node>} children The desired children.\n */\nexport function replaceChildren(node, children) {\n    var oldChildren = node.childNodes;\n    for (var i = 0; true; ++i) {\n        var oldChild = oldChildren[i];\n        var newChild = children[i];\n        // check if our work is done\n        if (!oldChild && !newChild) {\n            break;\n        }\n        // check if children match\n        if (oldChild === newChild) {\n            continue;\n        }\n        // check if a new child needs to be added\n        if (!oldChild) {\n            node.appendChild(newChild);\n            continue;\n        }\n        // check if an old child needs to be removed\n        if (!newChild) {\n            node.removeChild(oldChild);\n            --i;\n            continue;\n        }\n        // reorder\n        node.insertBefore(newChild, oldChild);\n    }\n}\n//# sourceMappingURL=dom.js.map","/**\n * @module ol/css\n */\n/**\n * @typedef {Object} FontParameters\n * @property {string} style Style.\n * @property {string} variant Variant.\n * @property {string} weight Weight.\n * @property {string} size Size.\n * @property {string} lineHeight LineHeight.\n * @property {string} family Family.\n * @property {Array<string>} families Families.\n */\n/**\n * The CSS class for hidden feature.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_HIDDEN = 'ol-hidden';\n/**\n * The CSS class that we'll give the DOM elements to have them selectable.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_SELECTABLE = 'ol-selectable';\n/**\n * The CSS class that we'll give the DOM elements to have them unselectable.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_UNSELECTABLE = 'ol-unselectable';\n/**\n * The CSS class for unsupported feature.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_UNSUPPORTED = 'ol-unsupported';\n/**\n * The CSS class for controls.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_CONTROL = 'ol-control';\n/**\n * The CSS class that we'll give the DOM elements that are collapsed, i.e.\n * to those elements which usually can be expanded.\n *\n * @const\n * @type {string}\n */\nexport var CLASS_COLLAPSED = 'ol-collapsed';\n/**\n * From https://stackoverflow.com/questions/10135697/regex-to-parse-any-css-font\n * @type {RegExp}\n */\nvar fontRegEx = new RegExp([\n    '^\\\\s*(?=(?:(?:[-a-z]+\\\\s*){0,2}(italic|oblique))?)',\n    '(?=(?:(?:[-a-z]+\\\\s*){0,2}(small-caps))?)',\n    '(?=(?:(?:[-a-z]+\\\\s*){0,2}(bold(?:er)?|lighter|[1-9]00 ))?)',\n    '(?:(?:normal|\\\\1|\\\\2|\\\\3)\\\\s*){0,3}((?:xx?-)?',\n    '(?:small|large)|medium|smaller|larger|[\\\\.\\\\d]+(?:\\\\%|in|[cem]m|ex|p[ctx]))',\n    '(?:\\\\s*\\\\/\\\\s*(normal|[\\\\.\\\\d]+(?:\\\\%|in|[cem]m|ex|p[ctx])?))',\n    '?\\\\s*([-,\\\\\"\\\\\\'\\\\sa-z]+?)\\\\s*$',\n].join(''), 'i');\nvar fontRegExMatchIndex = [\n    'style',\n    'variant',\n    'weight',\n    'size',\n    'lineHeight',\n    'family',\n];\n/**\n * Get the list of font families from a font spec.  Note that this doesn't work\n * for font families that have commas in them.\n * @param {string} fontSpec The CSS font property.\n * @return {FontParameters} The font parameters (or null if the input spec is invalid).\n */\nexport var getFontParameters = function (fontSpec) {\n    var match = fontSpec.match(fontRegEx);\n    if (!match) {\n        return null;\n    }\n    var style = /** @type {FontParameters} */ ({\n        lineHeight: 'normal',\n        size: '1.2em',\n        style: 'normal',\n        weight: 'normal',\n        variant: 'normal',\n    });\n    for (var i = 0, ii = fontRegExMatchIndex.length; i < ii; ++i) {\n        var value = match[i + 1];\n        if (value !== undefined) {\n            style[fontRegExMatchIndex[i]] = value;\n        }\n    }\n    style.families = style.family.split(/,\\s?/);\n    return style;\n};\n/**\n * @param {number} opacity Opacity (0..1).\n * @return {string} CSS opacity.\n */\nexport function cssOpacity(opacity) {\n    return opacity === 1 ? '' : String(Math.round(opacity * 100) / 100);\n}\n//# sourceMappingURL=css.js.map","/**\n * @module ol/render/canvas\n */\nimport BaseObject from '../Object.js';\nimport EventTarget from '../events/Target.js';\nimport { WORKER_OFFSCREEN_CANVAS } from '../has.js';\nimport { clear } from '../obj.js';\nimport { createCanvasContext2D } from '../dom.js';\nimport { getFontParameters } from '../css.js';\n/**\n * @typedef {Object} FillState\n * @property {import(\"../colorlike.js\").ColorLike} fillStyle FillStyle.\n */\n/**\n * @typedef Label\n * @property {number} width Width.\n * @property {number} height Height.\n * @property {Array<string|number>} contextInstructions ContextInstructions.\n */\n/**\n * @typedef {Object} FillStrokeState\n * @property {import(\"../colorlike.js\").ColorLike} [currentFillStyle] Current FillStyle.\n * @property {import(\"../colorlike.js\").ColorLike} [currentStrokeStyle] Current StrokeStyle.\n * @property {CanvasLineCap} [currentLineCap] Current LineCap.\n * @property {Array<number>} currentLineDash Current LineDash.\n * @property {number} [currentLineDashOffset] Current LineDashOffset.\n * @property {CanvasLineJoin} [currentLineJoin] Current LineJoin.\n * @property {number} [currentLineWidth] Current LineWidth.\n * @property {number} [currentMiterLimit] Current MiterLimit.\n * @property {number} [lastStroke] Last stroke.\n * @property {import(\"../colorlike.js\").ColorLike} [fillStyle] FillStyle.\n * @property {import(\"../colorlike.js\").ColorLike} [strokeStyle] StrokeStyle.\n * @property {CanvasLineCap} [lineCap] LineCap.\n * @property {Array<number>} lineDash LineDash.\n * @property {number} [lineDashOffset] LineDashOffset.\n * @property {CanvasLineJoin} [lineJoin] LineJoin.\n * @property {number} [lineWidth] LineWidth.\n * @property {number} [miterLimit] MiterLimit.\n */\n/**\n * @typedef {Object} StrokeState\n * @property {CanvasLineCap} lineCap LineCap.\n * @property {Array<number>} lineDash LineDash.\n * @property {number} lineDashOffset LineDashOffset.\n * @property {CanvasLineJoin} lineJoin LineJoin.\n * @property {number} lineWidth LineWidth.\n * @property {number} miterLimit MiterLimit.\n * @property {import(\"../colorlike.js\").ColorLike} strokeStyle StrokeStyle.\n */\n/**\n * @typedef {Object} TextState\n * @property {string} font Font.\n * @property {string} [textAlign] TextAlign.\n * @property {string} textBaseline TextBaseline.\n * @property {string} [placement] Placement.\n * @property {number} [maxAngle] MaxAngle.\n * @property {boolean} [overflow] Overflow.\n * @property {import(\"../style/Fill.js\").default} [backgroundFill] BackgroundFill.\n * @property {import(\"../style/Stroke.js\").default} [backgroundStroke] BackgroundStroke.\n * @property {import(\"../size.js\").Size} [scale] Scale.\n * @property {Array<number>} [padding] Padding.\n */\n/**\n * @typedef {Object} SerializableInstructions\n * @property {Array<*>} instructions The rendering instructions.\n * @property {Array<*>} hitDetectionInstructions The rendering hit detection instructions.\n * @property {Array<number>} coordinates The array of all coordinates.\n * @property {!Object<string, TextState>} [textStates] The text states (decluttering).\n * @property {!Object<string, FillState>} [fillStates] The fill states (decluttering).\n * @property {!Object<string, StrokeState>} [strokeStates] The stroke states (decluttering).\n */\n/**\n * @typedef {Object<number, import(\"./canvas/Executor.js\").ReplayImageOrLabelArgs>} DeclutterImageWithText\n */\n/**\n * @const\n * @type {string}\n */\nexport var defaultFont = '10px sans-serif';\n/**\n * @const\n * @type {import(\"../colorlike.js\").ColorLike}\n */\nexport var defaultFillStyle = '#000';\n/**\n * @const\n * @type {CanvasLineCap}\n */\nexport var defaultLineCap = 'round';\n/**\n * @const\n * @type {Array<number>}\n */\nexport var defaultLineDash = [];\n/**\n * @const\n * @type {number}\n */\nexport var defaultLineDashOffset = 0;\n/**\n * @const\n * @type {CanvasLineJoin}\n */\nexport var defaultLineJoin = 'round';\n/**\n * @const\n * @type {number}\n */\nexport var defaultMiterLimit = 10;\n/**\n * @const\n * @type {import(\"../colorlike.js\").ColorLike}\n */\nexport var defaultStrokeStyle = '#000';\n/**\n * @const\n * @type {string}\n */\nexport var defaultTextAlign = 'center';\n/**\n * @const\n * @type {string}\n */\nexport var defaultTextBaseline = 'middle';\n/**\n * @const\n * @type {Array<number>}\n */\nexport var defaultPadding = [0, 0, 0, 0];\n/**\n * @const\n * @type {number}\n */\nexport var defaultLineWidth = 1;\n/**\n * @type {BaseObject}\n */\nexport var checkedFonts = new BaseObject();\n/**\n * The label cache for text rendering. To change the default cache size of 2048\n * entries, use {@link module:ol/structs/LRUCache~LRUCache#setSize cache.setSize()}.\n * Deprecated - there is no label cache any more.\n * @type {?}\n * @api\n * @deprecated\n */\nexport var labelCache = new EventTarget();\nlabelCache.setSize = function () {\n    console.warn('labelCache is deprecated.'); //eslint-disable-line\n};\n/**\n * @type {CanvasRenderingContext2D}\n */\nvar measureContext = null;\n/**\n * @type {string}\n */\nvar measureFont;\n/**\n * @type {!Object<string, number>}\n */\nexport var textHeights = {};\n/**\n * Clears the label cache when a font becomes available.\n * @param {string} fontSpec CSS font spec.\n */\nexport var registerFont = (function () {\n    var retries = 100;\n    var size = '32px ';\n    var referenceFonts = ['monospace', 'serif'];\n    var len = referenceFonts.length;\n    var text = 'wmytzilWMYTZIL@#/&?$%10\\uF013';\n    var interval, referenceWidth;\n    /**\n     * @param {string} fontStyle Css font-style\n     * @param {string} fontWeight Css font-weight\n     * @param {*} fontFamily Css font-family\n     * @return {boolean} Font with style and weight is available\n     */\n    function isAvailable(fontStyle, fontWeight, fontFamily) {\n        var available = true;\n        for (var i = 0; i < len; ++i) {\n            var referenceFont = referenceFonts[i];\n            referenceWidth = measureTextWidth(fontStyle + ' ' + fontWeight + ' ' + size + referenceFont, text);\n            if (fontFamily != referenceFont) {\n                var width = measureTextWidth(fontStyle +\n                    ' ' +\n                    fontWeight +\n                    ' ' +\n                    size +\n                    fontFamily +\n                    ',' +\n                    referenceFont, text);\n                // If width and referenceWidth are the same, then the fallback was used\n                // instead of the font we wanted, so the font is not available.\n                available = available && width != referenceWidth;\n            }\n        }\n        if (available) {\n            return true;\n        }\n        return false;\n    }\n    function check() {\n        var done = true;\n        var fonts = checkedFonts.getKeys();\n        for (var i = 0, ii = fonts.length; i < ii; ++i) {\n            var font = fonts[i];\n            if (checkedFonts.get(font) < retries) {\n                if (isAvailable.apply(this, font.split('\\n'))) {\n                    clear(textHeights);\n                    // Make sure that loaded fonts are picked up by Safari\n                    measureContext = null;\n                    measureFont = undefined;\n                    checkedFonts.set(font, retries);\n                }\n                else {\n                    checkedFonts.set(font, checkedFonts.get(font) + 1, true);\n                    done = false;\n                }\n            }\n        }\n        if (done) {\n            clearInterval(interval);\n            interval = undefined;\n        }\n    }\n    return function (fontSpec) {\n        var font = getFontParameters(fontSpec);\n        if (!font) {\n            return;\n        }\n        var families = font.families;\n        for (var i = 0, ii = families.length; i < ii; ++i) {\n            var family = families[i];\n            var key = font.style + '\\n' + font.weight + '\\n' + family;\n            if (checkedFonts.get(key) === undefined) {\n                checkedFonts.set(key, retries, true);\n                if (!isAvailable(font.style, font.weight, family)) {\n                    checkedFonts.set(key, 0, true);\n                    if (interval === undefined) {\n                        interval = setInterval(check, 32);\n                    }\n                }\n            }\n        }\n    };\n})();\n/**\n * @param {string} font Font to use for measuring.\n * @return {import(\"../size.js\").Size} Measurement.\n */\nexport var measureTextHeight = (function () {\n    /**\n     * @type {HTMLDivElement}\n     */\n    var measureElement;\n    return function (fontSpec) {\n        var height = textHeights[fontSpec];\n        if (height == undefined) {\n            if (WORKER_OFFSCREEN_CANVAS) {\n                var font = getFontParameters(fontSpec);\n                var metrics = measureText(fontSpec, 'Žg');\n                var lineHeight = isNaN(Number(font.lineHeight))\n                    ? 1.2\n                    : Number(font.lineHeight);\n                height =\n                    lineHeight *\n                        (metrics.actualBoundingBoxAscent + metrics.actualBoundingBoxDescent);\n            }\n            else {\n                if (!measureElement) {\n                    measureElement = document.createElement('div');\n                    measureElement.innerHTML = 'M';\n                    measureElement.style.minHeight = '0';\n                    measureElement.style.maxHeight = 'none';\n                    measureElement.style.height = 'auto';\n                    measureElement.style.padding = '0';\n                    measureElement.style.border = 'none';\n                    measureElement.style.position = 'absolute';\n                    measureElement.style.display = 'block';\n                    measureElement.style.left = '-99999px';\n                }\n                measureElement.style.font = fontSpec;\n                document.body.appendChild(measureElement);\n                height = measureElement.offsetHeight;\n                document.body.removeChild(measureElement);\n            }\n            textHeights[fontSpec] = height;\n        }\n        return height;\n    };\n})();\n/**\n * @param {string} font Font.\n * @param {string} text Text.\n * @return {TextMetrics} Text metrics.\n */\nfunction measureText(font, text) {\n    if (!measureContext) {\n        measureContext = createCanvasContext2D(1, 1);\n    }\n    if (font != measureFont) {\n        measureContext.font = font;\n        measureFont = measureContext.font;\n    }\n    return measureContext.measureText(text);\n}\n/**\n * @param {string} font Font.\n * @param {string} text Text.\n * @return {number} Width.\n */\nexport function measureTextWidth(font, text) {\n    return measureText(font, text).width;\n}\n/**\n * Measure text width using a cache.\n * @param {string} font The font.\n * @param {string} text The text to measure.\n * @param {Object<string, number>} cache A lookup of cached widths by text.\n * @return {number} The text width.\n */\nexport function measureAndCacheTextWidth(font, text, cache) {\n    if (text in cache) {\n        return cache[text];\n    }\n    var width = measureTextWidth(font, text);\n    cache[text] = width;\n    return width;\n}\n/**\n * @param {string} font Font to use for measuring.\n * @param {Array<string>} lines Lines to measure.\n * @param {Array<number>} widths Array will be populated with the widths of\n * each line.\n * @return {number} Width of the whole text.\n */\nexport function measureTextWidths(font, lines, widths) {\n    var numLines = lines.length;\n    var width = 0;\n    for (var i = 0; i < numLines; ++i) {\n        var currentWidth = measureTextWidth(font, lines[i]);\n        width = Math.max(width, currentWidth);\n        widths.push(currentWidth);\n    }\n    return width;\n}\n/**\n * @param {CanvasRenderingContext2D} context Context.\n * @param {number} rotation Rotation.\n * @param {number} offsetX X offset.\n * @param {number} offsetY Y offset.\n */\nexport function rotateAtOffset(context, rotation, offsetX, offsetY) {\n    if (rotation !== 0) {\n        context.translate(offsetX, offsetY);\n        context.rotate(rotation);\n        context.translate(-offsetX, -offsetY);\n    }\n}\n/**\n * @param {CanvasRenderingContext2D} context Context.\n * @param {import(\"../transform.js\").Transform|null} transform Transform.\n * @param {number} opacity Opacity.\n * @param {Label|HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} labelOrImage Label.\n * @param {number} originX Origin X.\n * @param {number} originY Origin Y.\n * @param {number} w Width.\n * @param {number} h Height.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {import(\"../size.js\").Size} scale Scale.\n */\nexport function drawImageOrLabel(context, transform, opacity, labelOrImage, originX, originY, w, h, x, y, scale) {\n    context.save();\n    if (opacity !== 1) {\n        context.globalAlpha *= opacity;\n    }\n    if (transform) {\n        context.setTransform.apply(context, transform);\n    }\n    if ( /** @type {*} */(labelOrImage).contextInstructions) {\n        // label\n        context.translate(x, y);\n        context.scale(scale[0], scale[1]);\n        executeLabelInstructions(/** @type {Label} */ (labelOrImage), context);\n    }\n    else if (scale[0] < 0 || scale[1] < 0) {\n        // flipped image\n        context.translate(x, y);\n        context.scale(scale[0], scale[1]);\n        context.drawImage(\n        /** @type {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} */ (labelOrImage), originX, originY, w, h, 0, 0, w, h);\n    }\n    else {\n        // if image not flipped translate and scale can be avoided\n        context.drawImage(\n        /** @type {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} */ (labelOrImage), originX, originY, w, h, x, y, w * scale[0], h * scale[1]);\n    }\n    context.restore();\n}\n/**\n * @param {Label} label Label.\n * @param {CanvasRenderingContext2D} context Context.\n */\nfunction executeLabelInstructions(label, context) {\n    var contextInstructions = label.contextInstructions;\n    for (var i = 0, ii = contextInstructions.length; i < ii; i += 2) {\n        if (Array.isArray(contextInstructions[i + 1])) {\n            context[contextInstructions[i]].apply(context, contextInstructions[i + 1]);\n        }\n        else {\n            context[contextInstructions[i]] = contextInstructions[i + 1];\n        }\n    }\n}\n//# sourceMappingURL=canvas.js.map","/**\n * @module ol/style/RegularShape\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport ImageState from '../ImageState.js';\nimport ImageStyle from './Image.js';\nimport { asArray } from '../color.js';\nimport { asColorLike } from '../colorlike.js';\nimport { createCanvasContext2D } from '../dom.js';\nimport { defaultFillStyle, defaultLineJoin, defaultLineWidth, defaultMiterLimit, defaultStrokeStyle, } from '../render/canvas.js';\n/**\n * Specify radius for regular polygons, or radius1 and radius2 for stars.\n * @typedef {Object} Options\n * @property {import(\"./Fill.js\").default} [fill] Fill style.\n * @property {number} points Number of points for stars and regular polygons. In case of a polygon, the number of points\n * is the number of sides.\n * @property {number} [radius] Radius of a regular polygon.\n * @property {number} [radius1] First radius of a star. Ignored if radius is set.\n * @property {number} [radius2] Second radius of a star.\n * @property {number} [angle=0] Shape's angle in radians. A value of 0 will have one of the shape's point facing up.\n * @property {Array<number>} [displacement=[0,0]] Displacement of the shape\n * @property {import(\"./Stroke.js\").default} [stroke] Stroke style.\n * @property {number} [rotation=0] Rotation in radians (positive rotation clockwise).\n * @property {boolean} [rotateWithView=false] Whether to rotate the shape with the view.\n * @property {number|import(\"../size.js\").Size} [scale=1] Scale. Unless two dimensional scaling is required a better\n * result may be obtained with appropriate settings for `radius`, `radius1` and `radius2`.\n */\n/**\n * @typedef {Object} RenderOptions\n * @property {import(\"../colorlike.js\").ColorLike} [strokeStyle] StrokeStyle.\n * @property {number} strokeWidth StrokeWidth.\n * @property {number} size Size.\n * @property {Array<number>} lineDash LineDash.\n * @property {number} lineDashOffset LineDashOffset.\n * @property {CanvasLineJoin} lineJoin LineJoin.\n * @property {number} miterLimit MiterLimit.\n */\n/**\n * @classdesc\n * Set regular shape style for vector features. The resulting shape will be\n * a regular polygon when `radius` is provided, or a star when `radius1` and\n * `radius2` are provided.\n * @api\n */\nvar RegularShape = /** @class */ (function (_super) {\n    __extends(RegularShape, _super);\n    /**\n     * @param {Options} options Options.\n     */\n    function RegularShape(options) {\n        var _this = this;\n        /**\n         * @type {boolean}\n         */\n        var rotateWithView = options.rotateWithView !== undefined ? options.rotateWithView : false;\n        _this = _super.call(this, {\n            opacity: 1,\n            rotateWithView: rotateWithView,\n            rotation: options.rotation !== undefined ? options.rotation : 0,\n            scale: options.scale !== undefined ? options.scale : 1,\n            displacement: options.displacement !== undefined ? options.displacement : [0, 0],\n        }) || this;\n        /**\n         * @private\n         * @type {Object<number, HTMLCanvasElement>}\n         */\n        _this.canvas_ = undefined;\n        /**\n         * @private\n         * @type {HTMLCanvasElement}\n         */\n        _this.hitDetectionCanvas_ = null;\n        /**\n         * @private\n         * @type {import(\"./Fill.js\").default}\n         */\n        _this.fill_ = options.fill !== undefined ? options.fill : null;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.origin_ = [0, 0];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.points_ = options.points;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.radius_ =\n            options.radius !== undefined ? options.radius : options.radius1;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.radius2_ = options.radius2;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.angle_ = options.angle !== undefined ? options.angle : 0;\n        /**\n         * @private\n         * @type {import(\"./Stroke.js\").default}\n         */\n        _this.stroke_ = options.stroke !== undefined ? options.stroke : null;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        _this.size_ = null;\n        /**\n         * @private\n         * @type {RenderOptions}\n         */\n        _this.renderOptions_ = null;\n        _this.render();\n        return _this;\n    }\n    /**\n     * Clones the style.\n     * @return {RegularShape} The cloned style.\n     * @api\n     */\n    RegularShape.prototype.clone = function () {\n        var scale = this.getScale();\n        var style = new RegularShape({\n            fill: this.getFill() ? this.getFill().clone() : undefined,\n            points: this.getPoints(),\n            radius: this.getRadius(),\n            radius2: this.getRadius2(),\n            angle: this.getAngle(),\n            stroke: this.getStroke() ? this.getStroke().clone() : undefined,\n            rotation: this.getRotation(),\n            rotateWithView: this.getRotateWithView(),\n            scale: Array.isArray(scale) ? scale.slice() : scale,\n            displacement: this.getDisplacement().slice(),\n        });\n        style.setOpacity(this.getOpacity());\n        return style;\n    };\n    /**\n     * Get the anchor point in pixels. The anchor determines the center point for the\n     * symbolizer.\n     * @return {Array<number>} Anchor.\n     * @api\n     */\n    RegularShape.prototype.getAnchor = function () {\n        var size = this.size_;\n        if (!size) {\n            return null;\n        }\n        var displacement = this.getDisplacement();\n        return [size[0] / 2 - displacement[0], size[1] / 2 + displacement[1]];\n    };\n    /**\n     * Get the angle used in generating the shape.\n     * @return {number} Shape's rotation in radians.\n     * @api\n     */\n    RegularShape.prototype.getAngle = function () {\n        return this.angle_;\n    };\n    /**\n     * Get the fill style for the shape.\n     * @return {import(\"./Fill.js\").default} Fill style.\n     * @api\n     */\n    RegularShape.prototype.getFill = function () {\n        return this.fill_;\n    };\n    /**\n     * @return {HTMLCanvasElement} Image element.\n     */\n    RegularShape.prototype.getHitDetectionImage = function () {\n        if (!this.hitDetectionCanvas_) {\n            this.createHitDetectionCanvas_(this.renderOptions_);\n        }\n        return this.hitDetectionCanvas_;\n    };\n    /**\n     * Get the image icon.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {HTMLCanvasElement} Image or Canvas element.\n     * @api\n     */\n    RegularShape.prototype.getImage = function (pixelRatio) {\n        var image = this.canvas_[pixelRatio];\n        if (!image) {\n            var renderOptions = this.renderOptions_;\n            var context = createCanvasContext2D(renderOptions.size * pixelRatio, renderOptions.size * pixelRatio);\n            this.draw_(renderOptions, context, pixelRatio);\n            image = context.canvas;\n            this.canvas_[pixelRatio] = image;\n        }\n        return image;\n    };\n    /**\n     * Get the image pixel ratio.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Pixel ratio.\n     */\n    RegularShape.prototype.getPixelRatio = function (pixelRatio) {\n        return pixelRatio;\n    };\n    /**\n     * @return {import(\"../size.js\").Size} Image size.\n     */\n    RegularShape.prototype.getImageSize = function () {\n        return this.size_;\n    };\n    /**\n     * @return {import(\"../ImageState.js\").default} Image state.\n     */\n    RegularShape.prototype.getImageState = function () {\n        return ImageState.LOADED;\n    };\n    /**\n     * Get the origin of the symbolizer.\n     * @return {Array<number>} Origin.\n     * @api\n     */\n    RegularShape.prototype.getOrigin = function () {\n        return this.origin_;\n    };\n    /**\n     * Get the number of points for generating the shape.\n     * @return {number} Number of points for stars and regular polygons.\n     * @api\n     */\n    RegularShape.prototype.getPoints = function () {\n        return this.points_;\n    };\n    /**\n     * Get the (primary) radius for the shape.\n     * @return {number} Radius.\n     * @api\n     */\n    RegularShape.prototype.getRadius = function () {\n        return this.radius_;\n    };\n    /**\n     * Get the secondary radius for the shape.\n     * @return {number|undefined} Radius2.\n     * @api\n     */\n    RegularShape.prototype.getRadius2 = function () {\n        return this.radius2_;\n    };\n    /**\n     * Get the size of the symbolizer (in pixels).\n     * @return {import(\"../size.js\").Size} Size.\n     * @api\n     */\n    RegularShape.prototype.getSize = function () {\n        return this.size_;\n    };\n    /**\n     * Get the stroke style for the shape.\n     * @return {import(\"./Stroke.js\").default} Stroke style.\n     * @api\n     */\n    RegularShape.prototype.getStroke = function () {\n        return this.stroke_;\n    };\n    /**\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    RegularShape.prototype.listenImageChange = function (listener) { };\n    /**\n     * Load not yet loaded URI.\n     */\n    RegularShape.prototype.load = function () { };\n    /**\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    RegularShape.prototype.unlistenImageChange = function (listener) { };\n    /**\n     * Calculate additional canvas size needed for the miter.\n     * @param {string} lineJoin Line join\n     * @param {number} strokeWidth Stroke width\n     * @param {number} miterLimit Miter limit\n     * @return {number} Additional canvas size needed\n     * @private\n     */\n    RegularShape.prototype.calculateLineJoinSize_ = function (lineJoin, strokeWidth, miterLimit) {\n        if (strokeWidth === 0 ||\n            this.points_ === Infinity ||\n            (lineJoin !== 'bevel' && lineJoin !== 'miter')) {\n            return strokeWidth;\n        }\n        // m  | ^\n        // i  | |\\                  .\n        // t >|  #\\\n        // e  | |\\ \\              .\n        // r      \\s\\\n        //      |  \\t\\          .                 .\n        //          \\r\\                      .   .\n        //      |    \\o\\      .          .  . . .\n        //          e \\k\\            .  .    . .\n        //      |      \\e\\  .    .  .       . .\n        //       d      \\ \\  .  .          . .\n        //      | _ _a_ _\\#  .            . .\n        //   r1          / `             . .\n        //      |                       . .\n        //       b     /               . .\n        //      |                     . .\n        //           / r2            . .\n        //      |                        .   .\n        //         /                           .   .\n        //      |α                                   .   .\n        //       /                                         .   .\n        //      ° center\n        var r1 = this.radius_;\n        var r2 = this.radius2_ === undefined ? r1 : this.radius2_;\n        if (r1 < r2) {\n            var tmp = r1;\n            r1 = r2;\n            r2 = tmp;\n        }\n        var points = this.radius2_ === undefined ? this.points_ : this.points_ * 2;\n        var alpha = (2 * Math.PI) / points;\n        var a = r2 * Math.sin(alpha);\n        var b = Math.sqrt(r2 * r2 - a * a);\n        var d = r1 - b;\n        var e = Math.sqrt(a * a + d * d);\n        var miterRatio = e / a;\n        if (lineJoin === 'miter' && miterRatio <= miterLimit) {\n            return miterRatio * strokeWidth;\n        }\n        // Calculate the distnce from center to the stroke corner where\n        // it was cut short because of the miter limit.\n        //              l\n        //        ----+---- <= distance from center to here is maxr\n        //       /####|k ##\\\n        //      /#####^#####\\\n        //     /#### /+\\# s #\\\n        //    /### h/+++\\# t #\\\n        //   /### t/+++++\\# r #\\\n        //  /### a/+++++++\\# o #\\\n        // /### p/++ fill +\\# k #\\\n        ///#### /+++++^+++++\\# e #\\\n        //#####/+++++/+\\+++++\\#####\\\n        var k = strokeWidth / 2 / miterRatio;\n        var l = (strokeWidth / 2) * (d / e);\n        var maxr = Math.sqrt((r1 + k) * (r1 + k) + l * l);\n        var bevelAdd = maxr - r1;\n        if (this.radius2_ === undefined || lineJoin === 'bevel') {\n            return bevelAdd * 2;\n        }\n        // If outer miter is over the miter limit the inner miter may reach through the\n        // center and be longer than the bevel, same calculation as above but swap r1 / r2.\n        var aa = r1 * Math.sin(alpha);\n        var bb = Math.sqrt(r1 * r1 - aa * aa);\n        var dd = r2 - bb;\n        var ee = Math.sqrt(aa * aa + dd * dd);\n        var innerMiterRatio = ee / aa;\n        if (innerMiterRatio <= miterLimit) {\n            var innerLength = (innerMiterRatio * strokeWidth) / 2 - r2 - r1;\n            return 2 * Math.max(bevelAdd, innerLength);\n        }\n        return bevelAdd * 2;\n    };\n    /**\n     * @return {RenderOptions}  The render options\n     * @protected\n     */\n    RegularShape.prototype.createRenderOptions = function () {\n        var lineJoin = defaultLineJoin;\n        var miterLimit = 0;\n        var lineDash = null;\n        var lineDashOffset = 0;\n        var strokeStyle;\n        var strokeWidth = 0;\n        if (this.stroke_) {\n            strokeStyle = this.stroke_.getColor();\n            if (strokeStyle === null) {\n                strokeStyle = defaultStrokeStyle;\n            }\n            strokeStyle = asColorLike(strokeStyle);\n            strokeWidth = this.stroke_.getWidth();\n            if (strokeWidth === undefined) {\n                strokeWidth = defaultLineWidth;\n            }\n            lineDash = this.stroke_.getLineDash();\n            lineDashOffset = this.stroke_.getLineDashOffset();\n            lineJoin = this.stroke_.getLineJoin();\n            if (lineJoin === undefined) {\n                lineJoin = defaultLineJoin;\n            }\n            miterLimit = this.stroke_.getMiterLimit();\n            if (miterLimit === undefined) {\n                miterLimit = defaultMiterLimit;\n            }\n        }\n        var add = this.calculateLineJoinSize_(lineJoin, strokeWidth, miterLimit);\n        var maxRadius = Math.max(this.radius_, this.radius2_ || 0);\n        var size = Math.ceil(2 * maxRadius + add);\n        return {\n            strokeStyle: strokeStyle,\n            strokeWidth: strokeWidth,\n            size: size,\n            lineDash: lineDash,\n            lineDashOffset: lineDashOffset,\n            lineJoin: lineJoin,\n            miterLimit: miterLimit,\n        };\n    };\n    /**\n     * @protected\n     */\n    RegularShape.prototype.render = function () {\n        this.renderOptions_ = this.createRenderOptions();\n        var size = this.renderOptions_.size;\n        this.canvas_ = {};\n        this.size_ = [size, size];\n    };\n    /**\n     * @private\n     * @param {RenderOptions} renderOptions Render options.\n     * @param {CanvasRenderingContext2D} context The rendering context.\n     * @param {number} pixelRatio The pixel ratio.\n     */\n    RegularShape.prototype.draw_ = function (renderOptions, context, pixelRatio) {\n        context.scale(pixelRatio, pixelRatio);\n        // set origin to canvas center\n        context.translate(renderOptions.size / 2, renderOptions.size / 2);\n        this.createPath_(context);\n        if (this.fill_) {\n            var color = this.fill_.getColor();\n            if (color === null) {\n                color = defaultFillStyle;\n            }\n            context.fillStyle = asColorLike(color);\n            context.fill();\n        }\n        if (this.stroke_) {\n            context.strokeStyle = renderOptions.strokeStyle;\n            context.lineWidth = renderOptions.strokeWidth;\n            if (context.setLineDash && renderOptions.lineDash) {\n                context.setLineDash(renderOptions.lineDash);\n                context.lineDashOffset = renderOptions.lineDashOffset;\n            }\n            context.lineJoin = renderOptions.lineJoin;\n            context.miterLimit = renderOptions.miterLimit;\n            context.stroke();\n        }\n    };\n    /**\n     * @private\n     * @param {RenderOptions} renderOptions Render options.\n     */\n    RegularShape.prototype.createHitDetectionCanvas_ = function (renderOptions) {\n        if (this.fill_) {\n            var color = this.fill_.getColor();\n            // determine if fill is transparent (or pattern or gradient)\n            var opacity = 0;\n            if (typeof color === 'string') {\n                color = asArray(color);\n            }\n            if (color === null) {\n                opacity = 1;\n            }\n            else if (Array.isArray(color)) {\n                opacity = color.length === 4 ? color[3] : 1;\n            }\n            if (opacity === 0) {\n                // if a transparent fill style is set, create an extra hit-detection image\n                // with a default fill style\n                var context = createCanvasContext2D(renderOptions.size, renderOptions.size);\n                this.hitDetectionCanvas_ = context.canvas;\n                this.drawHitDetectionCanvas_(renderOptions, context);\n            }\n        }\n        if (!this.hitDetectionCanvas_) {\n            this.hitDetectionCanvas_ = this.getImage(1);\n        }\n    };\n    /**\n     * @private\n     * @param {CanvasRenderingContext2D} context The context to draw in.\n     */\n    RegularShape.prototype.createPath_ = function (context) {\n        var points = this.points_;\n        var radius = this.radius_;\n        if (points === Infinity) {\n            context.arc(0, 0, radius, 0, 2 * Math.PI);\n        }\n        else {\n            var radius2 = this.radius2_ === undefined ? radius : this.radius2_;\n            if (this.radius2_ !== undefined) {\n                points *= 2;\n            }\n            var startAngle = this.angle_ - Math.PI / 2;\n            var step = (2 * Math.PI) / points;\n            for (var i = 0; i < points; i++) {\n                var angle0 = startAngle + i * step;\n                var radiusC = i % 2 === 0 ? radius : radius2;\n                context.lineTo(radiusC * Math.cos(angle0), radiusC * Math.sin(angle0));\n            }\n            context.closePath();\n        }\n    };\n    /**\n     * @private\n     * @param {RenderOptions} renderOptions Render options.\n     * @param {CanvasRenderingContext2D} context The context.\n     */\n    RegularShape.prototype.drawHitDetectionCanvas_ = function (renderOptions, context) {\n        // set origin to canvas center\n        context.translate(renderOptions.size / 2, renderOptions.size / 2);\n        this.createPath_(context);\n        context.fillStyle = defaultFillStyle;\n        context.fill();\n        if (this.stroke_) {\n            context.strokeStyle = renderOptions.strokeStyle;\n            context.lineWidth = renderOptions.strokeWidth;\n            if (renderOptions.lineDash) {\n                context.setLineDash(renderOptions.lineDash);\n                context.lineDashOffset = renderOptions.lineDashOffset;\n            }\n            context.lineJoin = renderOptions.lineJoin;\n            context.miterLimit = renderOptions.miterLimit;\n            context.stroke();\n        }\n    };\n    return RegularShape;\n}(ImageStyle));\nexport default RegularShape;\n//# sourceMappingURL=RegularShape.js.map","/**\n * @module ol/style/Circle\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport RegularShape from './RegularShape.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Fill.js\").default} [fill] Fill style.\n * @property {number} radius Circle radius.\n * @property {import(\"./Stroke.js\").default} [stroke] Stroke style.\n * @property {Array<number>} [displacement=[0,0]] displacement\n * @property {number|import(\"../size.js\").Size} [scale=1] Scale. A two dimensional scale will produce an ellipse.\n * Unless two dimensional scaling is required a better result may be obtained with an appropriate setting for `radius`.\n * @property {number} [rotation=0] Rotation in radians\n * (positive rotation clockwise, meaningful only when used in conjunction with a two dimensional scale).\n * @property {boolean} [rotateWithView=false] Whether to rotate the shape with the view\n * (meaningful only when used in conjunction with a two dimensional scale).\n */\n/**\n * @classdesc\n * Set circle style for vector features.\n * @api\n */\nvar CircleStyle = /** @class */ (function (_super) {\n    __extends(CircleStyle, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function CircleStyle(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            points: Infinity,\n            fill: options.fill,\n            radius: options.radius,\n            stroke: options.stroke,\n            scale: options.scale !== undefined ? options.scale : 1,\n            rotation: options.rotation !== undefined ? options.rotation : 0,\n            rotateWithView: options.rotateWithView !== undefined ? options.rotateWithView : false,\n            displacement: options.displacement !== undefined ? options.displacement : [0, 0],\n        }) || this;\n        return _this;\n    }\n    /**\n     * Clones the style.\n     * @return {CircleStyle} The cloned style.\n     * @api\n     */\n    CircleStyle.prototype.clone = function () {\n        var scale = this.getScale();\n        var style = new CircleStyle({\n            fill: this.getFill() ? this.getFill().clone() : undefined,\n            stroke: this.getStroke() ? this.getStroke().clone() : undefined,\n            radius: this.getRadius(),\n            scale: Array.isArray(scale) ? scale.slice() : scale,\n            rotation: this.getRotation(),\n            rotateWithView: this.getRotateWithView(),\n            displacement: this.getDisplacement().slice(),\n        });\n        style.setOpacity(this.getOpacity());\n        return style;\n    };\n    /**\n     * Set the circle radius.\n     *\n     * @param {number} radius Circle radius.\n     * @api\n     */\n    CircleStyle.prototype.setRadius = function (radius) {\n        this.radius_ = radius;\n        this.render();\n    };\n    return CircleStyle;\n}(RegularShape));\nexport default CircleStyle;\n//# sourceMappingURL=Circle.js.map","/**\n * @module ol/style/Style\n */\nimport CircleStyle from './Circle.js';\nimport Fill from './Fill.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport Stroke from './Stroke.js';\nimport { assert } from '../asserts.js';\n/**\n * A function that takes an {@link module:ol/Feature} and a `{number}`\n * representing the view's resolution. The function should return a\n * {@link module:ol/style/Style~Style} or an array of them. This way e.g. a\n * vector layer can be styled. If the function returns `undefined`, the\n * feature will not be rendered.\n *\n * @typedef {function(import(\"../Feature.js\").FeatureLike, number):(Style|Array<Style>|void)} StyleFunction\n */\n/**\n * A {@link Style}, an array of {@link Style}, or a {@link StyleFunction}.\n * @typedef {Style|Array<Style>|StyleFunction} StyleLike\n */\n/**\n * A function that takes an {@link module:ol/Feature} as argument and returns an\n * {@link module:ol/geom/Geometry} that will be rendered and styled for the feature.\n *\n * @typedef {function(import(\"../Feature.js\").FeatureLike):\n *     (import(\"../geom/Geometry.js\").default|import(\"../render/Feature.js\").default|undefined)} GeometryFunction\n */\n/**\n * Custom renderer function. Takes two arguments:\n *\n * 1. The pixel coordinates of the geometry in GeoJSON notation.\n * 2. The {@link module:ol/render~State} of the layer renderer.\n *\n * @typedef {function((import(\"../coordinate.js\").Coordinate|Array<import(\"../coordinate.js\").Coordinate>|Array<Array<import(\"../coordinate.js\").Coordinate>>),import(\"../render.js\").State): void}\n * RenderFunction\n */\n/**\n * @typedef {Object} Options\n * @property {string|import(\"../geom/Geometry.js\").default|GeometryFunction} [geometry] Feature property or geometry\n * or function returning a geometry to render for this style.\n * @property {import(\"./Fill.js\").default} [fill] Fill style.\n * @property {import(\"./Image.js\").default} [image] Image style.\n * @property {RenderFunction} [renderer] Custom renderer. When configured, `fill`, `stroke` and `image` will be\n * ignored, and the provided function will be called with each render frame for each geometry.\n * @property {RenderFunction} [hitDetectionRenderer] Custom renderer for hit detection. If provided will be used\n * in hit detection rendering.\n * @property {import(\"./Stroke.js\").default} [stroke] Stroke style.\n * @property {import(\"./Text.js\").default} [text] Text style.\n * @property {number} [zIndex] Z index.\n */\n/**\n * @classdesc\n * Container for vector feature rendering styles. Any changes made to the style\n * or its children through `set*()` methods will not take effect until the\n * feature or layer that uses the style is re-rendered.\n *\n * ## Feature styles\n *\n * If no style is defined, the following default style is used:\n * ```js\n *  import {Circle, Fill, Stroke, Style} from 'ol/style';\n *\n *  const fill = new Fill({\n *    color: 'rgba(255,255,255,0.4)',\n *  });\n *  const stroke = new Stroke({\n *    color: '#3399CC',\n *    width: 1.25,\n *  });\n *  const styles = [\n *    new Style({\n *      image: new Circle({\n *        fill: fill,\n *        stroke: stroke,\n *        radius: 5,\n *      }),\n *      fill: fill,\n *      stroke: stroke,\n *    }),\n *  ];\n * ```\n *\n * A separate editing style has the following defaults:\n * ```js\n *  import GeometryType from 'ol/geom/GeometryType';\n *  import {Circle, Fill, Stroke, Style} from 'ol/style';\n *\n *  const styles = {};\n *  const white = [255, 255, 255, 1];\n *  const blue = [0, 153, 255, 1];\n *  const width = 3;\n *  styles[GeometryType.POLYGON] = [\n *    new Style({\n *      fill: new Fill({\n *        color: [255, 255, 255, 0.5],\n *      }),\n *    }),\n *  ];\n *  styles[GeometryType.MULTI_POLYGON] = styles[GeometryType.POLYGON];\n *\n *  styles[GeometryType.LINE_STRING] = [\n *    new Style({\n *      stroke: new Stroke({\n *        color: white,\n *        width: width + 2,\n *      }),\n *    }),\n *    new Style({\n *      stroke: new Stroke({\n *        color: blue,\n *        width: width,\n *      }),\n *    }),\n *  ];\n *  styles[GeometryType.MULTI_LINE_STRING] = styles[GeometryType.LINE_STRING];\n *\n *  styles[GeometryType.CIRCLE] = styles[GeometryType.POLYGON].concat(\n *    styles[GeometryType.LINE_STRING]\n *  );\n *\n *  styles[GeometryType.POINT] = [\n *    new Style({\n *      image: new Circle({\n *        radius: width * 2,\n *        fill: new Fill({\n *          color: blue,\n *        }),\n *        stroke: new Stroke({\n *          color: white,\n *          width: width / 2,\n *        }),\n *      }),\n *      zIndex: Infinity,\n *    }),\n *  ];\n *  styles[GeometryType.MULTI_POINT] = styles[GeometryType.POINT];\n *\n *  styles[GeometryType.GEOMETRY_COLLECTION] = styles[\n *    GeometryType.POLYGON\n *  ].concat(styles[GeometryType.LINE_STRING], styles[GeometryType.POINT]);\n * ```\n *\n * @api\n */\nvar Style = /** @class */ (function () {\n    /**\n     * @param {Options} [opt_options] Style options.\n     */\n    function Style(opt_options) {\n        var options = opt_options || {};\n        /**\n         * @private\n         * @type {string|import(\"../geom/Geometry.js\").default|GeometryFunction}\n         */\n        this.geometry_ = null;\n        /**\n         * @private\n         * @type {!GeometryFunction}\n         */\n        this.geometryFunction_ = defaultGeometryFunction;\n        if (options.geometry !== undefined) {\n            this.setGeometry(options.geometry);\n        }\n        /**\n         * @private\n         * @type {import(\"./Fill.js\").default}\n         */\n        this.fill_ = options.fill !== undefined ? options.fill : null;\n        /**\n         * @private\n         * @type {import(\"./Image.js\").default}\n         */\n        this.image_ = options.image !== undefined ? options.image : null;\n        /**\n         * @private\n         * @type {RenderFunction|null}\n         */\n        this.renderer_ = options.renderer !== undefined ? options.renderer : null;\n        /**\n         * @private\n         * @type {RenderFunction|null}\n         */\n        this.hitDetectionRenderer_ =\n            options.hitDetectionRenderer !== undefined\n                ? options.hitDetectionRenderer\n                : null;\n        /**\n         * @private\n         * @type {import(\"./Stroke.js\").default}\n         */\n        this.stroke_ = options.stroke !== undefined ? options.stroke : null;\n        /**\n         * @private\n         * @type {import(\"./Text.js\").default}\n         */\n        this.text_ = options.text !== undefined ? options.text : null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.zIndex_ = options.zIndex;\n    }\n    /**\n     * Clones the style.\n     * @return {Style} The cloned style.\n     * @api\n     */\n    Style.prototype.clone = function () {\n        var geometry = this.getGeometry();\n        if (geometry && typeof geometry === 'object') {\n            geometry = /** @type {import(\"../geom/Geometry.js\").default} */ (geometry).clone();\n        }\n        return new Style({\n            geometry: geometry,\n            fill: this.getFill() ? this.getFill().clone() : undefined,\n            image: this.getImage() ? this.getImage().clone() : undefined,\n            renderer: this.getRenderer(),\n            stroke: this.getStroke() ? this.getStroke().clone() : undefined,\n            text: this.getText() ? this.getText().clone() : undefined,\n            zIndex: this.getZIndex(),\n        });\n    };\n    /**\n     * Get the custom renderer function that was configured with\n     * {@link #setRenderer} or the `renderer` constructor option.\n     * @return {RenderFunction|null} Custom renderer function.\n     * @api\n     */\n    Style.prototype.getRenderer = function () {\n        return this.renderer_;\n    };\n    /**\n     * Sets a custom renderer function for this style. When set, `fill`, `stroke`\n     * and `image` options of the style will be ignored.\n     * @param {RenderFunction|null} renderer Custom renderer function.\n     * @api\n     */\n    Style.prototype.setRenderer = function (renderer) {\n        this.renderer_ = renderer;\n    };\n    /**\n     * Sets a custom renderer function for this style used\n     * in hit detection.\n     * @param {RenderFunction|null} renderer Custom renderer function.\n     * @api\n     */\n    Style.prototype.setHitDetectionRenderer = function (renderer) {\n        this.hitDetectionRenderer_ = renderer;\n    };\n    /**\n     * Get the custom renderer function that was configured with\n     * {@link #setHitDetectionRenderer} or the `hitDetectionRenderer` constructor option.\n     * @return {RenderFunction|null} Custom renderer function.\n     * @api\n     */\n    Style.prototype.getHitDetectionRenderer = function () {\n        return this.hitDetectionRenderer_;\n    };\n    /**\n     * Get the geometry to be rendered.\n     * @return {string|import(\"../geom/Geometry.js\").default|GeometryFunction}\n     * Feature property or geometry or function that returns the geometry that will\n     * be rendered with this style.\n     * @api\n     */\n    Style.prototype.getGeometry = function () {\n        return this.geometry_;\n    };\n    /**\n     * Get the function used to generate a geometry for rendering.\n     * @return {!GeometryFunction} Function that is called with a feature\n     * and returns the geometry to render instead of the feature's geometry.\n     * @api\n     */\n    Style.prototype.getGeometryFunction = function () {\n        return this.geometryFunction_;\n    };\n    /**\n     * Get the fill style.\n     * @return {import(\"./Fill.js\").default} Fill style.\n     * @api\n     */\n    Style.prototype.getFill = function () {\n        return this.fill_;\n    };\n    /**\n     * Set the fill style.\n     * @param {import(\"./Fill.js\").default} fill Fill style.\n     * @api\n     */\n    Style.prototype.setFill = function (fill) {\n        this.fill_ = fill;\n    };\n    /**\n     * Get the image style.\n     * @return {import(\"./Image.js\").default} Image style.\n     * @api\n     */\n    Style.prototype.getImage = function () {\n        return this.image_;\n    };\n    /**\n     * Set the image style.\n     * @param {import(\"./Image.js\").default} image Image style.\n     * @api\n     */\n    Style.prototype.setImage = function (image) {\n        this.image_ = image;\n    };\n    /**\n     * Get the stroke style.\n     * @return {import(\"./Stroke.js\").default} Stroke style.\n     * @api\n     */\n    Style.prototype.getStroke = function () {\n        return this.stroke_;\n    };\n    /**\n     * Set the stroke style.\n     * @param {import(\"./Stroke.js\").default} stroke Stroke style.\n     * @api\n     */\n    Style.prototype.setStroke = function (stroke) {\n        this.stroke_ = stroke;\n    };\n    /**\n     * Get the text style.\n     * @return {import(\"./Text.js\").default} Text style.\n     * @api\n     */\n    Style.prototype.getText = function () {\n        return this.text_;\n    };\n    /**\n     * Set the text style.\n     * @param {import(\"./Text.js\").default} text Text style.\n     * @api\n     */\n    Style.prototype.setText = function (text) {\n        this.text_ = text;\n    };\n    /**\n     * Get the z-index for the style.\n     * @return {number|undefined} ZIndex.\n     * @api\n     */\n    Style.prototype.getZIndex = function () {\n        return this.zIndex_;\n    };\n    /**\n     * Set a geometry that is rendered instead of the feature's geometry.\n     *\n     * @param {string|import(\"../geom/Geometry.js\").default|GeometryFunction} geometry\n     *     Feature property or geometry or function returning a geometry to render\n     *     for this style.\n     * @api\n     */\n    Style.prototype.setGeometry = function (geometry) {\n        if (typeof geometry === 'function') {\n            this.geometryFunction_ = geometry;\n        }\n        else if (typeof geometry === 'string') {\n            this.geometryFunction_ = function (feature) {\n                return /** @type {import(\"../geom/Geometry.js\").default} */ (feature.get(geometry));\n            };\n        }\n        else if (!geometry) {\n            this.geometryFunction_ = defaultGeometryFunction;\n        }\n        else if (geometry !== undefined) {\n            this.geometryFunction_ = function () {\n                return /** @type {import(\"../geom/Geometry.js\").default} */ (geometry);\n            };\n        }\n        this.geometry_ = geometry;\n    };\n    /**\n     * Set the z-index.\n     *\n     * @param {number|undefined} zIndex ZIndex.\n     * @api\n     */\n    Style.prototype.setZIndex = function (zIndex) {\n        this.zIndex_ = zIndex;\n    };\n    return Style;\n}());\n/**\n * Convert the provided object into a style function.  Functions passed through\n * unchanged.  Arrays of Style or single style objects wrapped in a\n * new style function.\n * @param {StyleFunction|Array<Style>|Style} obj\n *     A style function, a single style, or an array of styles.\n * @return {StyleFunction} A style function.\n */\nexport function toFunction(obj) {\n    var styleFunction;\n    if (typeof obj === 'function') {\n        styleFunction = obj;\n    }\n    else {\n        /**\n         * @type {Array<Style>}\n         */\n        var styles_1;\n        if (Array.isArray(obj)) {\n            styles_1 = obj;\n        }\n        else {\n            assert(typeof ( /** @type {?} */(obj).getZIndex) === 'function', 41); // Expected an `Style` or an array of `Style`\n            var style = /** @type {Style} */ (obj);\n            styles_1 = [style];\n        }\n        styleFunction = function () {\n            return styles_1;\n        };\n    }\n    return styleFunction;\n}\n/**\n * @type {Array<Style>}\n */\nvar defaultStyles = null;\n/**\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {number} resolution Resolution.\n * @return {Array<Style>} Style.\n */\nexport function createDefaultStyle(feature, resolution) {\n    // We don't use an immediately-invoked function\n    // and a closure so we don't get an error at script evaluation time in\n    // browsers that do not support Canvas. (import(\"./Circle.js\").CircleStyle does\n    // canvas.getContext('2d') at construction time, which will cause an.error\n    // in such browsers.)\n    if (!defaultStyles) {\n        var fill = new Fill({\n            color: 'rgba(255,255,255,0.4)',\n        });\n        var stroke = new Stroke({\n            color: '#3399CC',\n            width: 1.25,\n        });\n        defaultStyles = [\n            new Style({\n                image: new CircleStyle({\n                    fill: fill,\n                    stroke: stroke,\n                    radius: 5,\n                }),\n                fill: fill,\n                stroke: stroke,\n            }),\n        ];\n    }\n    return defaultStyles;\n}\n/**\n * Default styles for editing features.\n * @return {Object<import(\"../geom/GeometryType.js\").default, Array<Style>>} Styles\n */\nexport function createEditingStyle() {\n    /** @type {Object<import(\"../geom/GeometryType.js\").default, Array<Style>>} */\n    var styles = {};\n    var white = [255, 255, 255, 1];\n    var blue = [0, 153, 255, 1];\n    var width = 3;\n    styles[GeometryType.POLYGON] = [\n        new Style({\n            fill: new Fill({\n                color: [255, 255, 255, 0.5],\n            }),\n        }),\n    ];\n    styles[GeometryType.MULTI_POLYGON] = styles[GeometryType.POLYGON];\n    styles[GeometryType.LINE_STRING] = [\n        new Style({\n            stroke: new Stroke({\n                color: white,\n                width: width + 2,\n            }),\n        }),\n        new Style({\n            stroke: new Stroke({\n                color: blue,\n                width: width,\n            }),\n        }),\n    ];\n    styles[GeometryType.MULTI_LINE_STRING] = styles[GeometryType.LINE_STRING];\n    styles[GeometryType.CIRCLE] = styles[GeometryType.POLYGON].concat(styles[GeometryType.LINE_STRING]);\n    styles[GeometryType.POINT] = [\n        new Style({\n            image: new CircleStyle({\n                radius: width * 2,\n                fill: new Fill({\n                    color: blue,\n                }),\n                stroke: new Stroke({\n                    color: white,\n                    width: width / 2,\n                }),\n            }),\n            zIndex: Infinity,\n        }),\n    ];\n    styles[GeometryType.MULTI_POINT] = styles[GeometryType.POINT];\n    styles[GeometryType.GEOMETRY_COLLECTION] = styles[GeometryType.POLYGON].concat(styles[GeometryType.LINE_STRING], styles[GeometryType.POINT]);\n    return styles;\n}\n/**\n * Function that is called with a feature and returns its default geometry.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature to get the geometry for.\n * @return {import(\"../geom/Geometry.js\").default|import(\"../render/Feature.js\").default|undefined} Geometry to render.\n */\nfunction defaultGeometryFunction(feature) {\n    return feature.getGeometry();\n}\nexport default Style;\n//# sourceMappingURL=Style.js.map","/**\n * @module ol/style/TextPlacement\n */\n/**\n * Text placement. One of `'point'`, `'line'`. Default is `'point'`. Note that\n * `'line'` requires the underlying geometry to be a {@link module:ol/geom/LineString~LineString},\n * {@link module:ol/geom/Polygon~Polygon}, {@link module:ol/geom/MultiLineString~MultiLineString} or\n * {@link module:ol/geom/MultiPolygon~MultiPolygon}.\n * @enum {string}\n */\nexport default {\n    POINT: 'point',\n    LINE: 'line',\n};\n//# sourceMappingURL=TextPlacement.js.map","/**\n * @module ol/style/Text\n */\nimport Fill from './Fill.js';\nimport TextPlacement from './TextPlacement.js';\nimport { toSize } from '../size.js';\n/**\n * The default fill color to use if no fill was set at construction time; a\n * blackish `#333`.\n *\n * @const {string}\n */\nvar DEFAULT_FILL_COLOR = '#333';\n/**\n * @typedef {Object} Options\n * @property {string} [font] Font style as CSS 'font' value, see:\n * https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/font. Default is '10px sans-serif'\n * @property {number} [maxAngle=Math.PI/4] When `placement` is set to `'line'`, allow a maximum angle between adjacent characters.\n * The expected value is in radians, and the default is 45° (`Math.PI / 4`).\n * @property {number} [offsetX=0] Horizontal text offset in pixels. A positive will shift the text right.\n * @property {number} [offsetY=0] Vertical text offset in pixels. A positive will shift the text down.\n * @property {boolean} [overflow=false] For polygon labels or when `placement` is set to `'line'`, allow text to exceed\n * the width of the polygon at the label position or the length of the path that it follows.\n * @property {import(\"./TextPlacement.js\").default|string} [placement='point'] Text placement.\n * @property {number|import(\"../size.js\").Size} [scale] Scale.\n * @property {boolean} [rotateWithView=false] Whether to rotate the text with the view.\n * @property {number} [rotation=0] Rotation in radians (positive rotation clockwise).\n * @property {string} [text] Text content.\n * @property {string} [textAlign] Text alignment. Possible values: 'left', 'right', 'center', 'end' or 'start'.\n * Default is 'center' for `placement: 'point'`. For `placement: 'line'`, the default is to let the renderer choose a\n * placement where `maxAngle` is not exceeded.\n * @property {string} [textBaseline='middle'] Text base line. Possible values: 'bottom', 'top', 'middle', 'alphabetic',\n * 'hanging', 'ideographic'.\n * @property {import(\"./Fill.js\").default} [fill] Fill style. If none is provided, we'll use a dark fill-style (#333).\n * @property {import(\"./Stroke.js\").default} [stroke] Stroke style.\n * @property {import(\"./Fill.js\").default} [backgroundFill] Fill style for the text background when `placement` is\n * `'point'`. Default is no fill.\n * @property {import(\"./Stroke.js\").default} [backgroundStroke] Stroke style for the text background  when `placement`\n * is `'point'`. Default is no stroke.\n * @property {Array<number>} [padding=[0, 0, 0, 0]] Padding in pixels around the text for decluttering and background. The order of\n * values in the array is `[top, right, bottom, left]`.\n */\n/**\n * @classdesc\n * Set text style for vector features.\n * @api\n */\nvar Text = /** @class */ (function () {\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Text(opt_options) {\n        var options = opt_options || {};\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        this.font_ = options.font;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.rotation_ = options.rotation;\n        /**\n         * @private\n         * @type {boolean|undefined}\n         */\n        this.rotateWithView_ = options.rotateWithView;\n        /**\n         * @private\n         * @type {number|import(\"../size.js\").Size|undefined}\n         */\n        this.scale_ = options.scale;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        this.scaleArray_ = toSize(options.scale !== undefined ? options.scale : 1);\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        this.text_ = options.text;\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        this.textAlign_ = options.textAlign;\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        this.textBaseline_ = options.textBaseline;\n        /**\n         * @private\n         * @type {import(\"./Fill.js\").default}\n         */\n        this.fill_ =\n            options.fill !== undefined\n                ? options.fill\n                : new Fill({ color: DEFAULT_FILL_COLOR });\n        /**\n         * @private\n         * @type {number}\n         */\n        this.maxAngle_ =\n            options.maxAngle !== undefined ? options.maxAngle : Math.PI / 4;\n        /**\n         * @private\n         * @type {import(\"./TextPlacement.js\").default|string}\n         */\n        this.placement_ =\n            options.placement !== undefined ? options.placement : TextPlacement.POINT;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.overflow_ = !!options.overflow;\n        /**\n         * @private\n         * @type {import(\"./Stroke.js\").default}\n         */\n        this.stroke_ = options.stroke !== undefined ? options.stroke : null;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.offsetX_ = options.offsetX !== undefined ? options.offsetX : 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.offsetY_ = options.offsetY !== undefined ? options.offsetY : 0;\n        /**\n         * @private\n         * @type {import(\"./Fill.js\").default}\n         */\n        this.backgroundFill_ = options.backgroundFill\n            ? options.backgroundFill\n            : null;\n        /**\n         * @private\n         * @type {import(\"./Stroke.js\").default}\n         */\n        this.backgroundStroke_ = options.backgroundStroke\n            ? options.backgroundStroke\n            : null;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.padding_ = options.padding === undefined ? null : options.padding;\n    }\n    /**\n     * Clones the style.\n     * @return {Text} The cloned style.\n     * @api\n     */\n    Text.prototype.clone = function () {\n        var scale = this.getScale();\n        return new Text({\n            font: this.getFont(),\n            placement: this.getPlacement(),\n            maxAngle: this.getMaxAngle(),\n            overflow: this.getOverflow(),\n            rotation: this.getRotation(),\n            rotateWithView: this.getRotateWithView(),\n            scale: Array.isArray(scale) ? scale.slice() : scale,\n            text: this.getText(),\n            textAlign: this.getTextAlign(),\n            textBaseline: this.getTextBaseline(),\n            fill: this.getFill() ? this.getFill().clone() : undefined,\n            stroke: this.getStroke() ? this.getStroke().clone() : undefined,\n            offsetX: this.getOffsetX(),\n            offsetY: this.getOffsetY(),\n            backgroundFill: this.getBackgroundFill()\n                ? this.getBackgroundFill().clone()\n                : undefined,\n            backgroundStroke: this.getBackgroundStroke()\n                ? this.getBackgroundStroke().clone()\n                : undefined,\n            padding: this.getPadding(),\n        });\n    };\n    /**\n     * Get the `overflow` configuration.\n     * @return {boolean} Let text overflow the length of the path they follow.\n     * @api\n     */\n    Text.prototype.getOverflow = function () {\n        return this.overflow_;\n    };\n    /**\n     * Get the font name.\n     * @return {string|undefined} Font.\n     * @api\n     */\n    Text.prototype.getFont = function () {\n        return this.font_;\n    };\n    /**\n     * Get the maximum angle between adjacent characters.\n     * @return {number} Angle in radians.\n     * @api\n     */\n    Text.prototype.getMaxAngle = function () {\n        return this.maxAngle_;\n    };\n    /**\n     * Get the label placement.\n     * @return {import(\"./TextPlacement.js\").default|string} Text placement.\n     * @api\n     */\n    Text.prototype.getPlacement = function () {\n        return this.placement_;\n    };\n    /**\n     * Get the x-offset for the text.\n     * @return {number} Horizontal text offset.\n     * @api\n     */\n    Text.prototype.getOffsetX = function () {\n        return this.offsetX_;\n    };\n    /**\n     * Get the y-offset for the text.\n     * @return {number} Vertical text offset.\n     * @api\n     */\n    Text.prototype.getOffsetY = function () {\n        return this.offsetY_;\n    };\n    /**\n     * Get the fill style for the text.\n     * @return {import(\"./Fill.js\").default} Fill style.\n     * @api\n     */\n    Text.prototype.getFill = function () {\n        return this.fill_;\n    };\n    /**\n     * Determine whether the text rotates with the map.\n     * @return {boolean|undefined} Rotate with map.\n     * @api\n     */\n    Text.prototype.getRotateWithView = function () {\n        return this.rotateWithView_;\n    };\n    /**\n     * Get the text rotation.\n     * @return {number|undefined} Rotation.\n     * @api\n     */\n    Text.prototype.getRotation = function () {\n        return this.rotation_;\n    };\n    /**\n     * Get the text scale.\n     * @return {number|import(\"../size.js\").Size|undefined} Scale.\n     * @api\n     */\n    Text.prototype.getScale = function () {\n        return this.scale_;\n    };\n    /**\n     * Get the symbolizer scale array.\n     * @return {import(\"../size.js\").Size} Scale array.\n     */\n    Text.prototype.getScaleArray = function () {\n        return this.scaleArray_;\n    };\n    /**\n     * Get the stroke style for the text.\n     * @return {import(\"./Stroke.js\").default} Stroke style.\n     * @api\n     */\n    Text.prototype.getStroke = function () {\n        return this.stroke_;\n    };\n    /**\n     * Get the text to be rendered.\n     * @return {string|undefined} Text.\n     * @api\n     */\n    Text.prototype.getText = function () {\n        return this.text_;\n    };\n    /**\n     * Get the text alignment.\n     * @return {string|undefined} Text align.\n     * @api\n     */\n    Text.prototype.getTextAlign = function () {\n        return this.textAlign_;\n    };\n    /**\n     * Get the text baseline.\n     * @return {string|undefined} Text baseline.\n     * @api\n     */\n    Text.prototype.getTextBaseline = function () {\n        return this.textBaseline_;\n    };\n    /**\n     * Get the background fill style for the text.\n     * @return {import(\"./Fill.js\").default} Fill style.\n     * @api\n     */\n    Text.prototype.getBackgroundFill = function () {\n        return this.backgroundFill_;\n    };\n    /**\n     * Get the background stroke style for the text.\n     * @return {import(\"./Stroke.js\").default} Stroke style.\n     * @api\n     */\n    Text.prototype.getBackgroundStroke = function () {\n        return this.backgroundStroke_;\n    };\n    /**\n     * Get the padding for the text.\n     * @return {Array<number>} Padding.\n     * @api\n     */\n    Text.prototype.getPadding = function () {\n        return this.padding_;\n    };\n    /**\n     * Set the `overflow` property.\n     *\n     * @param {boolean} overflow Let text overflow the path that it follows.\n     * @api\n     */\n    Text.prototype.setOverflow = function (overflow) {\n        this.overflow_ = overflow;\n    };\n    /**\n     * Set the font.\n     *\n     * @param {string|undefined} font Font.\n     * @api\n     */\n    Text.prototype.setFont = function (font) {\n        this.font_ = font;\n    };\n    /**\n     * Set the maximum angle between adjacent characters.\n     *\n     * @param {number} maxAngle Angle in radians.\n     * @api\n     */\n    Text.prototype.setMaxAngle = function (maxAngle) {\n        this.maxAngle_ = maxAngle;\n    };\n    /**\n     * Set the x offset.\n     *\n     * @param {number} offsetX Horizontal text offset.\n     * @api\n     */\n    Text.prototype.setOffsetX = function (offsetX) {\n        this.offsetX_ = offsetX;\n    };\n    /**\n     * Set the y offset.\n     *\n     * @param {number} offsetY Vertical text offset.\n     * @api\n     */\n    Text.prototype.setOffsetY = function (offsetY) {\n        this.offsetY_ = offsetY;\n    };\n    /**\n     * Set the text placement.\n     *\n     * @param {import(\"./TextPlacement.js\").default|string} placement Placement.\n     * @api\n     */\n    Text.prototype.setPlacement = function (placement) {\n        this.placement_ = placement;\n    };\n    /**\n     * Set whether to rotate the text with the view.\n     *\n     * @param {boolean} rotateWithView Rotate with map.\n     * @api\n     */\n    Text.prototype.setRotateWithView = function (rotateWithView) {\n        this.rotateWithView_ = rotateWithView;\n    };\n    /**\n     * Set the fill.\n     *\n     * @param {import(\"./Fill.js\").default} fill Fill style.\n     * @api\n     */\n    Text.prototype.setFill = function (fill) {\n        this.fill_ = fill;\n    };\n    /**\n     * Set the rotation.\n     *\n     * @param {number|undefined} rotation Rotation.\n     * @api\n     */\n    Text.prototype.setRotation = function (rotation) {\n        this.rotation_ = rotation;\n    };\n    /**\n     * Set the scale.\n     *\n     * @param {number|import(\"../size.js\").Size|undefined} scale Scale.\n     * @api\n     */\n    Text.prototype.setScale = function (scale) {\n        this.scale_ = scale;\n        this.scaleArray_ = toSize(scale !== undefined ? scale : 1);\n    };\n    /**\n     * Set the stroke.\n     *\n     * @param {import(\"./Stroke.js\").default} stroke Stroke style.\n     * @api\n     */\n    Text.prototype.setStroke = function (stroke) {\n        this.stroke_ = stroke;\n    };\n    /**\n     * Set the text.\n     *\n     * @param {string|undefined} text Text.\n     * @api\n     */\n    Text.prototype.setText = function (text) {\n        this.text_ = text;\n    };\n    /**\n     * Set the text alignment.\n     *\n     * @param {string|undefined} textAlign Text align.\n     * @api\n     */\n    Text.prototype.setTextAlign = function (textAlign) {\n        this.textAlign_ = textAlign;\n    };\n    /**\n     * Set the text baseline.\n     *\n     * @param {string|undefined} textBaseline Text baseline.\n     * @api\n     */\n    Text.prototype.setTextBaseline = function (textBaseline) {\n        this.textBaseline_ = textBaseline;\n    };\n    /**\n     * Set the background fill.\n     *\n     * @param {import(\"./Fill.js\").default} fill Fill style.\n     * @api\n     */\n    Text.prototype.setBackgroundFill = function (fill) {\n        this.backgroundFill_ = fill;\n    };\n    /**\n     * Set the background stroke.\n     *\n     * @param {import(\"./Stroke.js\").default} stroke Stroke style.\n     * @api\n     */\n    Text.prototype.setBackgroundStroke = function (stroke) {\n        this.backgroundStroke_ = stroke;\n    };\n    /**\n     * Set the padding (`[top, right, bottom, left]`).\n     *\n     * @param {!Array<number>} padding Padding.\n     * @api\n     */\n    Text.prototype.setPadding = function (padding) {\n        this.padding_ = padding;\n    };\n    return Text;\n}());\nexport default Text;\n//# sourceMappingURL=Text.js.map","/**\n * @module ol/layer/Property\n */\n/**\n * @enum {string}\n */\nexport default {\n    OPACITY: 'opacity',\n    VISIBLE: 'visible',\n    EXTENT: 'extent',\n    Z_INDEX: 'zIndex',\n    MAX_RESOLUTION: 'maxResolution',\n    MIN_RESOLUTION: 'minResolution',\n    MAX_ZOOM: 'maxZoom',\n    MIN_ZOOM: 'minZoom',\n    SOURCE: 'source',\n    MAP: 'map',\n};\n//# sourceMappingURL=Property.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Base\n */\nimport BaseObject from '../Object.js';\nimport LayerProperty from './Property.js';\nimport { abstract } from '../util.js';\nimport { assert } from '../asserts.js';\nimport { assign } from '../obj.js';\nimport { clamp } from '../math.js';\n/**\n * A css color, or a function called with a view resolution returning a css color.\n *\n * @typedef {string|function(number):string} BackgroundColor\n * @api\n */\n/**\n * @typedef {import(\"../ObjectEventType\").Types|'change:extent'|'change:maxResolution'|'change:maxZoom'|\n *    'change:minResolution'|'change:minZoom'|'change:opacity'|'change:visible'|'change:zIndex'} BaseLayerObjectEventTypes\n */\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<BaseLayerObjectEventTypes, import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|BaseLayerObjectEventTypes, Return>} BaseLayerOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {BackgroundColor} [background] Background color for the layer. If not specified, no background\n * will be rendered.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Note that with {@link module:ol/layer/Base} and all its subclasses, any property set in\n * the options is set as a {@link module:ol/Object} property on the layer object, so\n * is observable, and has get/set accessors.\n *\n * @api\n */\nvar BaseLayer = /** @class */ (function (_super) {\n    __extends(BaseLayer, _super);\n    /**\n     * @param {Options} options Layer options.\n     */\n    function BaseLayer(options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {BaseLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {BaseLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {BaseLayerOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @type {BackgroundColor|false}\n         * @private\n         */\n        _this.background_ = options.background;\n        /**\n         * @type {Object<string, *>}\n         */\n        var properties = assign({}, options);\n        if (typeof options.properties === 'object') {\n            delete properties.properties;\n            assign(properties, options.properties);\n        }\n        properties[LayerProperty.OPACITY] =\n            options.opacity !== undefined ? options.opacity : 1;\n        assert(typeof properties[LayerProperty.OPACITY] === 'number', 64); // Layer opacity must be a number\n        properties[LayerProperty.VISIBLE] =\n            options.visible !== undefined ? options.visible : true;\n        properties[LayerProperty.Z_INDEX] = options.zIndex;\n        properties[LayerProperty.MAX_RESOLUTION] =\n            options.maxResolution !== undefined ? options.maxResolution : Infinity;\n        properties[LayerProperty.MIN_RESOLUTION] =\n            options.minResolution !== undefined ? options.minResolution : 0;\n        properties[LayerProperty.MIN_ZOOM] =\n            options.minZoom !== undefined ? options.minZoom : -Infinity;\n        properties[LayerProperty.MAX_ZOOM] =\n            options.maxZoom !== undefined ? options.maxZoom : Infinity;\n        /**\n         * @type {string}\n         * @private\n         */\n        _this.className_ =\n            properties.className !== undefined ? options.className : 'ol-layer';\n        delete properties.className;\n        _this.setProperties(properties);\n        /**\n         * @type {import(\"./Layer.js\").State}\n         * @private\n         */\n        _this.state_ = null;\n        return _this;\n    }\n    /**\n     * Get the background for this layer.\n     * @return {BackgroundColor|false} Layer background.\n     */\n    BaseLayer.prototype.getBackground = function () {\n        return this.background_;\n    };\n    /**\n     * @return {string} CSS class name.\n     */\n    BaseLayer.prototype.getClassName = function () {\n        return this.className_;\n    };\n    /**\n     * This method is not meant to be called by layers or layer renderers because the state\n     * is incorrect if the layer is included in a layer group.\n     *\n     * @param {boolean} [opt_managed] Layer is managed.\n     * @return {import(\"./Layer.js\").State} Layer state.\n     */\n    BaseLayer.prototype.getLayerState = function (opt_managed) {\n        /** @type {import(\"./Layer.js\").State} */\n        var state = this.state_ ||\n            /** @type {?} */ ({\n                layer: this,\n                managed: opt_managed === undefined ? true : opt_managed,\n            });\n        var zIndex = this.getZIndex();\n        state.opacity = clamp(Math.round(this.getOpacity() * 100) / 100, 0, 1);\n        state.sourceState = this.getSourceState();\n        state.visible = this.getVisible();\n        state.extent = this.getExtent();\n        state.zIndex = zIndex === undefined && !state.managed ? Infinity : zIndex;\n        state.maxResolution = this.getMaxResolution();\n        state.minResolution = Math.max(this.getMinResolution(), 0);\n        state.minZoom = this.getMinZoom();\n        state.maxZoom = this.getMaxZoom();\n        this.state_ = state;\n        return state;\n    };\n    /**\n     * @abstract\n     * @param {Array<import(\"./Layer.js\").default>} [opt_array] Array of layers (to be\n     *     modified in place).\n     * @return {Array<import(\"./Layer.js\").default>} Array of layers.\n     */\n    BaseLayer.prototype.getLayersArray = function (opt_array) {\n        return abstract();\n    };\n    /**\n     * @abstract\n     * @param {Array<import(\"./Layer.js\").State>} [opt_states] Optional list of layer\n     *     states (to be modified in place).\n     * @return {Array<import(\"./Layer.js\").State>} List of layer states.\n     */\n    BaseLayer.prototype.getLayerStatesArray = function (opt_states) {\n        return abstract();\n    };\n    /**\n     * Return the {@link module:ol/extent~Extent extent} of the layer or `undefined` if it\n     * will be visible regardless of extent.\n     * @return {import(\"../extent.js\").Extent|undefined} The layer extent.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getExtent = function () {\n        return /** @type {import(\"../extent.js\").Extent|undefined} */ (this.get(LayerProperty.EXTENT));\n    };\n    /**\n     * Return the maximum resolution of the layer.\n     * @return {number} The maximum resolution of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getMaxResolution = function () {\n        return /** @type {number} */ (this.get(LayerProperty.MAX_RESOLUTION));\n    };\n    /**\n     * Return the minimum resolution of the layer.\n     * @return {number} The minimum resolution of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getMinResolution = function () {\n        return /** @type {number} */ (this.get(LayerProperty.MIN_RESOLUTION));\n    };\n    /**\n     * Return the minimum zoom level of the layer.\n     * @return {number} The minimum zoom level of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getMinZoom = function () {\n        return /** @type {number} */ (this.get(LayerProperty.MIN_ZOOM));\n    };\n    /**\n     * Return the maximum zoom level of the layer.\n     * @return {number} The maximum zoom level of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getMaxZoom = function () {\n        return /** @type {number} */ (this.get(LayerProperty.MAX_ZOOM));\n    };\n    /**\n     * Return the opacity of the layer (between 0 and 1).\n     * @return {number} The opacity of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getOpacity = function () {\n        return /** @type {number} */ (this.get(LayerProperty.OPACITY));\n    };\n    /**\n     * @abstract\n     * @return {import(\"../source/State.js\").default} Source state.\n     */\n    BaseLayer.prototype.getSourceState = function () {\n        return abstract();\n    };\n    /**\n     * Return the visibility of the layer (`true` or `false`).\n     * @return {boolean} The visibility of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getVisible = function () {\n        return /** @type {boolean} */ (this.get(LayerProperty.VISIBLE));\n    };\n    /**\n     * Return the Z-index of the layer, which is used to order layers before\n     * rendering. The default Z-index is 0.\n     * @return {number} The Z-index of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.getZIndex = function () {\n        return /** @type {number} */ (this.get(LayerProperty.Z_INDEX));\n    };\n    /**\n     * Sets the backgrlound color.\n     * @param {BackgroundColor} [opt_background] Background color.\n     */\n    BaseLayer.prototype.setBackground = function (opt_background) {\n        this.background_ = opt_background;\n        this.changed();\n    };\n    /**\n     * Set the extent at which the layer is visible.  If `undefined`, the layer\n     * will be visible at all extents.\n     * @param {import(\"../extent.js\").Extent|undefined} extent The extent of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setExtent = function (extent) {\n        this.set(LayerProperty.EXTENT, extent);\n    };\n    /**\n     * Set the maximum resolution at which the layer is visible.\n     * @param {number} maxResolution The maximum resolution of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setMaxResolution = function (maxResolution) {\n        this.set(LayerProperty.MAX_RESOLUTION, maxResolution);\n    };\n    /**\n     * Set the minimum resolution at which the layer is visible.\n     * @param {number} minResolution The minimum resolution of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setMinResolution = function (minResolution) {\n        this.set(LayerProperty.MIN_RESOLUTION, minResolution);\n    };\n    /**\n     * Set the maximum zoom (exclusive) at which the layer is visible.\n     * Note that the zoom levels for layer visibility are based on the\n     * view zoom level, which may be different from a tile source zoom level.\n     * @param {number} maxZoom The maximum zoom of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setMaxZoom = function (maxZoom) {\n        this.set(LayerProperty.MAX_ZOOM, maxZoom);\n    };\n    /**\n     * Set the minimum zoom (inclusive) at which the layer is visible.\n     * Note that the zoom levels for layer visibility are based on the\n     * view zoom level, which may be different from a tile source zoom level.\n     * @param {number} minZoom The minimum zoom of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setMinZoom = function (minZoom) {\n        this.set(LayerProperty.MIN_ZOOM, minZoom);\n    };\n    /**\n     * Set the opacity of the layer, allowed values range from 0 to 1.\n     * @param {number} opacity The opacity of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setOpacity = function (opacity) {\n        assert(typeof opacity === 'number', 64); // Layer opacity must be a number\n        this.set(LayerProperty.OPACITY, opacity);\n    };\n    /**\n     * Set the visibility of the layer (`true` or `false`).\n     * @param {boolean} visible The visibility of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setVisible = function (visible) {\n        this.set(LayerProperty.VISIBLE, visible);\n    };\n    /**\n     * Set Z-index of the layer, which is used to order layers before rendering.\n     * The default Z-index is 0.\n     * @param {number} zindex The z-index of the layer.\n     * @observable\n     * @api\n     */\n    BaseLayer.prototype.setZIndex = function (zindex) {\n        this.set(LayerProperty.Z_INDEX, zindex);\n    };\n    /**\n     * Clean up.\n     */\n    BaseLayer.prototype.disposeInternal = function () {\n        if (this.state_) {\n            this.state_.layer = null;\n            this.state_ = null;\n        }\n        _super.prototype.disposeInternal.call(this);\n    };\n    return BaseLayer;\n}(BaseObject));\nexport default BaseLayer;\n//# sourceMappingURL=Base.js.map","/**\n * @module ol/source/State\n */\n/**\n * @enum {string}\n * State of the source, one of 'undefined', 'loading', 'ready' or 'error'.\n */\nexport default {\n    UNDEFINED: 'undefined',\n    LOADING: 'loading',\n    READY: 'ready',\n    ERROR: 'error',\n};\n//# sourceMappingURL=State.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Layer\n */\nimport BaseLayer from './Base.js';\nimport EventType from '../events/EventType.js';\nimport LayerProperty from './Property.js';\nimport RenderEventType from '../render/EventType.js';\nimport SourceState from '../source/State.js';\nimport { assert } from '../asserts.js';\nimport { assign } from '../obj.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {function(import(\"../PluggableMap.js\").FrameState):HTMLElement} RenderFunction\n */\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./Base\").BaseLayerObjectEventTypes|\n *     'change:source', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../render/EventType\").LayerRenderEventTypes, import(\"../render/Event\").default, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"./Base\").BaseLayerObjectEventTypes|'change:source'|\n *     import(\"../render/EventType\").LayerRenderEventTypes, Return>} LayerOnSignature\n */\n/**\n * @template {import(\"../source/Source.js\").default} SourceType\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {SourceType} [source] Source for this layer.  If not provided to the constructor,\n * the source can be set by calling {@link module:ol/layer/Layer~Layer#setSource layer.setSource(source)} after\n * construction.\n * @property {import(\"../PluggableMap.js\").default} [map] Map.\n * @property {RenderFunction} [render] Render function. Takes the frame state as input and is expected to return an\n * HTML element. Will overwrite the default rendering for the layer.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @typedef {Object} State\n * @property {import(\"./Layer.js\").default} layer Layer.\n * @property {number} opacity Opacity, the value is rounded to two digits to appear after the decimal point.\n * @property {import(\"../source/State.js\").default} sourceState SourceState.\n * @property {boolean} visible Visible.\n * @property {boolean} managed Managed.\n * @property {import(\"../extent.js\").Extent} [extent] Extent.\n * @property {number} zIndex ZIndex.\n * @property {number} maxResolution Maximum resolution.\n * @property {number} minResolution Minimum resolution.\n * @property {number} minZoom Minimum zoom.\n * @property {number} maxZoom Maximum zoom.\n */\n/**\n * @classdesc\n * Base class from which all layer types are derived. This should only be instantiated\n * in the case where a custom layer is be added to the map with a custom `render` function.\n * Such a function can be specified in the `options` object, and is expected to return an HTML element.\n *\n * A visual representation of raster or vector map data.\n * Layers group together those properties that pertain to how the data is to be\n * displayed, irrespective of the source of that data.\n *\n * Layers are usually added to a map with {@link import(\"../PluggableMap.js\").default#addLayer map.addLayer()}. Components\n * like {@link module:ol/interaction/Draw~Draw} use unmanaged layers\n * internally. These unmanaged layers are associated with the map using\n * {@link module:ol/layer/Layer~Layer#setMap} instead.\n *\n * A generic `change` event is fired when the state of the source changes.\n *\n * Please note that for performance reasons several layers might get rendered to\n * the same HTML element, which will cause {@link import(\"../PluggableMap.js\").default#forEachLayerAtPixel map.forEachLayerAtPixel()} to\n * give false positives. To avoid this, apply different `className` properties to the\n * layers at creation time.\n *\n * @fires import(\"../render/Event.js\").RenderEvent#prerender\n * @fires import(\"../render/Event.js\").RenderEvent#postrender\n *\n * @template {import(\"../source/Source.js\").default} SourceType\n * @template {import(\"../renderer/Layer.js\").default} RendererType\n * @api\n */\nvar Layer = /** @class */ (function (_super) {\n    __extends(Layer, _super);\n    /**\n     * @param {Options<SourceType>} options Layer options.\n     */\n    function Layer(options) {\n        var _this = this;\n        var baseOptions = assign({}, options);\n        delete baseOptions.source;\n        _this = _super.call(this, baseOptions) || this;\n        /***\n         * @type {LayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {LayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {LayerOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {?import(\"../events.js\").EventsKey}\n         */\n        _this.mapPrecomposeKey_ = null;\n        /**\n         * @private\n         * @type {?import(\"../events.js\").EventsKey}\n         */\n        _this.mapRenderKey_ = null;\n        /**\n         * @private\n         * @type {?import(\"../events.js\").EventsKey}\n         */\n        _this.sourceChangeKey_ = null;\n        /**\n         * @private\n         * @type {RendererType}\n         */\n        _this.renderer_ = null;\n        // Overwrite default render method with a custom one\n        if (options.render) {\n            _this.render = options.render;\n        }\n        if (options.map) {\n            _this.setMap(options.map);\n        }\n        _this.addChangeListener(LayerProperty.SOURCE, _this.handleSourcePropertyChange_);\n        var source = options.source\n            ? /** @type {SourceType} */ (options.source)\n            : null;\n        _this.setSource(source);\n        return _this;\n    }\n    /**\n     * @param {Array<import(\"./Layer.js\").default>} [opt_array] Array of layers (to be modified in place).\n     * @return {Array<import(\"./Layer.js\").default>} Array of layers.\n     */\n    Layer.prototype.getLayersArray = function (opt_array) {\n        var array = opt_array ? opt_array : [];\n        array.push(this);\n        return array;\n    };\n    /**\n     * @param {Array<import(\"./Layer.js\").State>} [opt_states] Optional list of layer states (to be modified in place).\n     * @return {Array<import(\"./Layer.js\").State>} List of layer states.\n     */\n    Layer.prototype.getLayerStatesArray = function (opt_states) {\n        var states = opt_states ? opt_states : [];\n        states.push(this.getLayerState());\n        return states;\n    };\n    /**\n     * Get the layer source.\n     * @return {SourceType} The layer source (or `null` if not yet set).\n     * @observable\n     * @api\n     */\n    Layer.prototype.getSource = function () {\n        return /** @type {SourceType} */ (this.get(LayerProperty.SOURCE)) || null;\n    };\n    /**\n     * @return {import(\"../source/State.js\").default} Source state.\n     */\n    Layer.prototype.getSourceState = function () {\n        var source = this.getSource();\n        return !source ? SourceState.UNDEFINED : source.getState();\n    };\n    /**\n     * @private\n     */\n    Layer.prototype.handleSourceChange_ = function () {\n        this.changed();\n    };\n    /**\n     * @private\n     */\n    Layer.prototype.handleSourcePropertyChange_ = function () {\n        if (this.sourceChangeKey_) {\n            unlistenByKey(this.sourceChangeKey_);\n            this.sourceChangeKey_ = null;\n        }\n        var source = this.getSource();\n        if (source) {\n            this.sourceChangeKey_ = listen(source, EventType.CHANGE, this.handleSourceChange_, this);\n        }\n        this.changed();\n    };\n    /**\n     * @param {import(\"../pixel\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../Feature\").default>>} Promise that resolves with\n     * an array of features.\n     */\n    Layer.prototype.getFeatures = function (pixel) {\n        if (!this.renderer_) {\n            return new Promise(function (resolve) { return resolve([]); });\n        }\n        return this.renderer_.getFeatures(pixel);\n    };\n    /**\n     * In charge to manage the rendering of the layer. One layer type is\n     * bounded with one layer renderer.\n     * @param {?import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target which the renderer may (but need not) use\n     * for rendering its content.\n     * @return {HTMLElement} The rendered element.\n     */\n    Layer.prototype.render = function (frameState, target) {\n        var layerRenderer = this.getRenderer();\n        if (layerRenderer.prepareFrame(frameState)) {\n            return layerRenderer.renderFrame(frameState, target);\n        }\n    };\n    /**\n     * For use inside the library only.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Layer.prototype.setMapInternal = function (map) {\n        this.set(LayerProperty.MAP, map);\n    };\n    /**\n     * For use inside the library only.\n     * @return {import(\"../PluggableMap.js\").default} Map.\n     */\n    Layer.prototype.getMapInternal = function () {\n        return this.get(LayerProperty.MAP);\n    };\n    /**\n     * Sets the layer to be rendered on top of other layers on a map. The map will\n     * not manage this layer in its layers collection, and the callback in\n     * {@link module:ol/Map~Map#forEachLayerAtPixel} will receive `null` as layer. This\n     * is useful for temporary layers. To remove an unmanaged layer from the map,\n     * use `#setMap(null)`.\n     *\n     * To add the layer to a map and have it managed by the map, use\n     * {@link module:ol/Map~Map#addLayer} instead.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     * @api\n     */\n    Layer.prototype.setMap = function (map) {\n        if (this.mapPrecomposeKey_) {\n            unlistenByKey(this.mapPrecomposeKey_);\n            this.mapPrecomposeKey_ = null;\n        }\n        if (!map) {\n            this.changed();\n        }\n        if (this.mapRenderKey_) {\n            unlistenByKey(this.mapRenderKey_);\n            this.mapRenderKey_ = null;\n        }\n        if (map) {\n            this.mapPrecomposeKey_ = listen(map, RenderEventType.PRECOMPOSE, function (evt) {\n                var renderEvent = \n                /** @type {import(\"../render/Event.js\").default} */ (evt);\n                var layerStatesArray = renderEvent.frameState.layerStatesArray;\n                var layerState = this.getLayerState(false);\n                // A layer can only be added to the map once. Use either `layer.setMap()` or `map.addLayer()`, not both.\n                assert(!layerStatesArray.some(function (arrayLayerState) {\n                    return arrayLayerState.layer === layerState.layer;\n                }), 67);\n                layerStatesArray.push(layerState);\n            }, this);\n            this.mapRenderKey_ = listen(this, EventType.CHANGE, map.render, map);\n            this.changed();\n        }\n    };\n    /**\n     * Set the layer source.\n     * @param {SourceType} source The layer source.\n     * @observable\n     * @api\n     */\n    Layer.prototype.setSource = function (source) {\n        this.set(LayerProperty.SOURCE, source);\n    };\n    /**\n     * Get the renderer for this layer.\n     * @return {RendererType} The layer renderer.\n     */\n    Layer.prototype.getRenderer = function () {\n        if (!this.renderer_) {\n            this.renderer_ = this.createRenderer();\n        }\n        return this.renderer_;\n    };\n    /**\n     * @return {boolean} The layer has a renderer.\n     */\n    Layer.prototype.hasRenderer = function () {\n        return !!this.renderer_;\n    };\n    /**\n     * Create a renderer for this layer.\n     * @return {RendererType} A layer renderer.\n     * @protected\n     */\n    Layer.prototype.createRenderer = function () {\n        return null;\n    };\n    /**\n     * Clean up.\n     */\n    Layer.prototype.disposeInternal = function () {\n        if (this.renderer_) {\n            this.renderer_.dispose();\n            delete this.renderer_;\n        }\n        this.setSource(null);\n        _super.prototype.disposeInternal.call(this);\n    };\n    return Layer;\n}(BaseLayer));\n/**\n * Return `true` if the layer is visible and if the provided view state\n * has resolution and zoom levels that are in range of the layer's min/max.\n * @param {State} layerState Layer state.\n * @param {import(\"../View.js\").State} viewState View state.\n * @return {boolean} The layer is visible at the given view state.\n */\nexport function inView(layerState, viewState) {\n    if (!layerState.visible) {\n        return false;\n    }\n    var resolution = viewState.resolution;\n    if (resolution < layerState.minResolution ||\n        resolution >= layerState.maxResolution) {\n        return false;\n    }\n    var zoom = viewState.zoom;\n    return zoom > layerState.minZoom && zoom <= layerState.maxZoom;\n}\nexport default Layer;\n//# sourceMappingURL=Layer.js.map","\nexport default function quickselect(arr, k, left, right, compare) {\n    quickselectStep(arr, k, left || 0, right || (arr.length - 1), compare || defaultCompare);\n}\n\nfunction quickselectStep(arr, k, left, right, compare) {\n\n    while (right > left) {\n        if (right - left > 600) {\n            var n = right - left + 1;\n            var m = k - left + 1;\n            var z = Math.log(n);\n            var s = 0.5 * Math.exp(2 * z / 3);\n            var sd = 0.5 * Math.sqrt(z * s * (n - s) / n) * (m - n / 2 < 0 ? -1 : 1);\n            var newLeft = Math.max(left, Math.floor(k - m * s / n + sd));\n            var newRight = Math.min(right, Math.floor(k + (n - m) * s / n + sd));\n            quickselectStep(arr, k, newLeft, newRight, compare);\n        }\n\n        var t = arr[k];\n        var i = left;\n        var j = right;\n\n        swap(arr, left, k);\n        if (compare(arr[right], t) > 0) swap(arr, left, right);\n\n        while (i < j) {\n            swap(arr, i, j);\n            i++;\n            j--;\n            while (compare(arr[i], t) < 0) i++;\n            while (compare(arr[j], t) > 0) j--;\n        }\n\n        if (compare(arr[left], t) === 0) swap(arr, left, j);\n        else {\n            j++;\n            swap(arr, j, right);\n        }\n\n        if (j <= k) left = j + 1;\n        if (k <= j) right = j - 1;\n    }\n}\n\nfunction swap(arr, i, j) {\n    var tmp = arr[i];\n    arr[i] = arr[j];\n    arr[j] = tmp;\n}\n\nfunction defaultCompare(a, b) {\n    return a < b ? -1 : a > b ? 1 : 0;\n}\n","import quickselect from 'quickselect';\n\nexport default class RBush {\n    constructor(maxEntries = 9) {\n        // max entries in a node is 9 by default; min node fill is 40% for best performance\n        this._maxEntries = Math.max(4, maxEntries);\n        this._minEntries = Math.max(2, Math.ceil(this._maxEntries * 0.4));\n        this.clear();\n    }\n\n    all() {\n        return this._all(this.data, []);\n    }\n\n    search(bbox) {\n        let node = this.data;\n        const result = [];\n\n        if (!intersects(bbox, node)) return result;\n\n        const toBBox = this.toBBox;\n        const nodesToSearch = [];\n\n        while (node) {\n            for (let i = 0; i < node.children.length; i++) {\n                const child = node.children[i];\n                const childBBox = node.leaf ? toBBox(child) : child;\n\n                if (intersects(bbox, childBBox)) {\n                    if (node.leaf) result.push(child);\n                    else if (contains(bbox, childBBox)) this._all(child, result);\n                    else nodesToSearch.push(child);\n                }\n            }\n            node = nodesToSearch.pop();\n        }\n\n        return result;\n    }\n\n    collides(bbox) {\n        let node = this.data;\n\n        if (!intersects(bbox, node)) return false;\n\n        const nodesToSearch = [];\n        while (node) {\n            for (let i = 0; i < node.children.length; i++) {\n                const child = node.children[i];\n                const childBBox = node.leaf ? this.toBBox(child) : child;\n\n                if (intersects(bbox, childBBox)) {\n                    if (node.leaf || contains(bbox, childBBox)) return true;\n                    nodesToSearch.push(child);\n                }\n            }\n            node = nodesToSearch.pop();\n        }\n\n        return false;\n    }\n\n    load(data) {\n        if (!(data && data.length)) return this;\n\n        if (data.length < this._minEntries) {\n            for (let i = 0; i < data.length; i++) {\n                this.insert(data[i]);\n            }\n            return this;\n        }\n\n        // recursively build the tree with the given data from scratch using OMT algorithm\n        let node = this._build(data.slice(), 0, data.length - 1, 0);\n\n        if (!this.data.children.length) {\n            // save as is if tree is empty\n            this.data = node;\n\n        } else if (this.data.height === node.height) {\n            // split root if trees have the same height\n            this._splitRoot(this.data, node);\n\n        } else {\n            if (this.data.height < node.height) {\n                // swap trees if inserted one is bigger\n                const tmpNode = this.data;\n                this.data = node;\n                node = tmpNode;\n            }\n\n            // insert the small tree into the large tree at appropriate level\n            this._insert(node, this.data.height - node.height - 1, true);\n        }\n\n        return this;\n    }\n\n    insert(item) {\n        if (item) this._insert(item, this.data.height - 1);\n        return this;\n    }\n\n    clear() {\n        this.data = createNode([]);\n        return this;\n    }\n\n    remove(item, equalsFn) {\n        if (!item) return this;\n\n        let node = this.data;\n        const bbox = this.toBBox(item);\n        const path = [];\n        const indexes = [];\n        let i, parent, goingUp;\n\n        // depth-first iterative tree traversal\n        while (node || path.length) {\n\n            if (!node) { // go up\n                node = path.pop();\n                parent = path[path.length - 1];\n                i = indexes.pop();\n                goingUp = true;\n            }\n\n            if (node.leaf) { // check current node\n                const index = findItem(item, node.children, equalsFn);\n\n                if (index !== -1) {\n                    // item found, remove the item and condense tree upwards\n                    node.children.splice(index, 1);\n                    path.push(node);\n                    this._condense(path);\n                    return this;\n                }\n            }\n\n            if (!goingUp && !node.leaf && contains(node, bbox)) { // go down\n                path.push(node);\n                indexes.push(i);\n                i = 0;\n                parent = node;\n                node = node.children[0];\n\n            } else if (parent) { // go right\n                i++;\n                node = parent.children[i];\n                goingUp = false;\n\n            } else node = null; // nothing found\n        }\n\n        return this;\n    }\n\n    toBBox(item) { return item; }\n\n    compareMinX(a, b) { return a.minX - b.minX; }\n    compareMinY(a, b) { return a.minY - b.minY; }\n\n    toJSON() { return this.data; }\n\n    fromJSON(data) {\n        this.data = data;\n        return this;\n    }\n\n    _all(node, result) {\n        const nodesToSearch = [];\n        while (node) {\n            if (node.leaf) result.push(...node.children);\n            else nodesToSearch.push(...node.children);\n\n            node = nodesToSearch.pop();\n        }\n        return result;\n    }\n\n    _build(items, left, right, height) {\n\n        const N = right - left + 1;\n        let M = this._maxEntries;\n        let node;\n\n        if (N <= M) {\n            // reached leaf level; return leaf\n            node = createNode(items.slice(left, right + 1));\n            calcBBox(node, this.toBBox);\n            return node;\n        }\n\n        if (!height) {\n            // target height of the bulk-loaded tree\n            height = Math.ceil(Math.log(N) / Math.log(M));\n\n            // target number of root entries to maximize storage utilization\n            M = Math.ceil(N / Math.pow(M, height - 1));\n        }\n\n        node = createNode([]);\n        node.leaf = false;\n        node.height = height;\n\n        // split the items into M mostly square tiles\n\n        const N2 = Math.ceil(N / M);\n        const N1 = N2 * Math.ceil(Math.sqrt(M));\n\n        multiSelect(items, left, right, N1, this.compareMinX);\n\n        for (let i = left; i <= right; i += N1) {\n\n            const right2 = Math.min(i + N1 - 1, right);\n\n            multiSelect(items, i, right2, N2, this.compareMinY);\n\n            for (let j = i; j <= right2; j += N2) {\n\n                const right3 = Math.min(j + N2 - 1, right2);\n\n                // pack each entry recursively\n                node.children.push(this._build(items, j, right3, height - 1));\n            }\n        }\n\n        calcBBox(node, this.toBBox);\n\n        return node;\n    }\n\n    _chooseSubtree(bbox, node, level, path) {\n        while (true) {\n            path.push(node);\n\n            if (node.leaf || path.length - 1 === level) break;\n\n            let minArea = Infinity;\n            let minEnlargement = Infinity;\n            let targetNode;\n\n            for (let i = 0; i < node.children.length; i++) {\n                const child = node.children[i];\n                const area = bboxArea(child);\n                const enlargement = enlargedArea(bbox, child) - area;\n\n                // choose entry with the least area enlargement\n                if (enlargement < minEnlargement) {\n                    minEnlargement = enlargement;\n                    minArea = area < minArea ? area : minArea;\n                    targetNode = child;\n\n                } else if (enlargement === minEnlargement) {\n                    // otherwise choose one with the smallest area\n                    if (area < minArea) {\n                        minArea = area;\n                        targetNode = child;\n                    }\n                }\n            }\n\n            node = targetNode || node.children[0];\n        }\n\n        return node;\n    }\n\n    _insert(item, level, isNode) {\n        const bbox = isNode ? item : this.toBBox(item);\n        const insertPath = [];\n\n        // find the best node for accommodating the item, saving all nodes along the path too\n        const node = this._chooseSubtree(bbox, this.data, level, insertPath);\n\n        // put the item into the node\n        node.children.push(item);\n        extend(node, bbox);\n\n        // split on node overflow; propagate upwards if necessary\n        while (level >= 0) {\n            if (insertPath[level].children.length > this._maxEntries) {\n                this._split(insertPath, level);\n                level--;\n            } else break;\n        }\n\n        // adjust bboxes along the insertion path\n        this._adjustParentBBoxes(bbox, insertPath, level);\n    }\n\n    // split overflowed node into two\n    _split(insertPath, level) {\n        const node = insertPath[level];\n        const M = node.children.length;\n        const m = this._minEntries;\n\n        this._chooseSplitAxis(node, m, M);\n\n        const splitIndex = this._chooseSplitIndex(node, m, M);\n\n        const newNode = createNode(node.children.splice(splitIndex, node.children.length - splitIndex));\n        newNode.height = node.height;\n        newNode.leaf = node.leaf;\n\n        calcBBox(node, this.toBBox);\n        calcBBox(newNode, this.toBBox);\n\n        if (level) insertPath[level - 1].children.push(newNode);\n        else this._splitRoot(node, newNode);\n    }\n\n    _splitRoot(node, newNode) {\n        // split root node\n        this.data = createNode([node, newNode]);\n        this.data.height = node.height + 1;\n        this.data.leaf = false;\n        calcBBox(this.data, this.toBBox);\n    }\n\n    _chooseSplitIndex(node, m, M) {\n        let index;\n        let minOverlap = Infinity;\n        let minArea = Infinity;\n\n        for (let i = m; i <= M - m; i++) {\n            const bbox1 = distBBox(node, 0, i, this.toBBox);\n            const bbox2 = distBBox(node, i, M, this.toBBox);\n\n            const overlap = intersectionArea(bbox1, bbox2);\n            const area = bboxArea(bbox1) + bboxArea(bbox2);\n\n            // choose distribution with minimum overlap\n            if (overlap < minOverlap) {\n                minOverlap = overlap;\n                index = i;\n\n                minArea = area < minArea ? area : minArea;\n\n            } else if (overlap === minOverlap) {\n                // otherwise choose distribution with minimum area\n                if (area < minArea) {\n                    minArea = area;\n                    index = i;\n                }\n            }\n        }\n\n        return index || M - m;\n    }\n\n    // sorts node children by the best axis for split\n    _chooseSplitAxis(node, m, M) {\n        const compareMinX = node.leaf ? this.compareMinX : compareNodeMinX;\n        const compareMinY = node.leaf ? this.compareMinY : compareNodeMinY;\n        const xMargin = this._allDistMargin(node, m, M, compareMinX);\n        const yMargin = this._allDistMargin(node, m, M, compareMinY);\n\n        // if total distributions margin value is minimal for x, sort by minX,\n        // otherwise it's already sorted by minY\n        if (xMargin < yMargin) node.children.sort(compareMinX);\n    }\n\n    // total margin of all possible split distributions where each node is at least m full\n    _allDistMargin(node, m, M, compare) {\n        node.children.sort(compare);\n\n        const toBBox = this.toBBox;\n        const leftBBox = distBBox(node, 0, m, toBBox);\n        const rightBBox = distBBox(node, M - m, M, toBBox);\n        let margin = bboxMargin(leftBBox) + bboxMargin(rightBBox);\n\n        for (let i = m; i < M - m; i++) {\n            const child = node.children[i];\n            extend(leftBBox, node.leaf ? toBBox(child) : child);\n            margin += bboxMargin(leftBBox);\n        }\n\n        for (let i = M - m - 1; i >= m; i--) {\n            const child = node.children[i];\n            extend(rightBBox, node.leaf ? toBBox(child) : child);\n            margin += bboxMargin(rightBBox);\n        }\n\n        return margin;\n    }\n\n    _adjustParentBBoxes(bbox, path, level) {\n        // adjust bboxes along the given tree path\n        for (let i = level; i >= 0; i--) {\n            extend(path[i], bbox);\n        }\n    }\n\n    _condense(path) {\n        // go through the path, removing empty nodes and updating bboxes\n        for (let i = path.length - 1, siblings; i >= 0; i--) {\n            if (path[i].children.length === 0) {\n                if (i > 0) {\n                    siblings = path[i - 1].children;\n                    siblings.splice(siblings.indexOf(path[i]), 1);\n\n                } else this.clear();\n\n            } else calcBBox(path[i], this.toBBox);\n        }\n    }\n}\n\nfunction findItem(item, items, equalsFn) {\n    if (!equalsFn) return items.indexOf(item);\n\n    for (let i = 0; i < items.length; i++) {\n        if (equalsFn(item, items[i])) return i;\n    }\n    return -1;\n}\n\n// calculate node's bbox from bboxes of its children\nfunction calcBBox(node, toBBox) {\n    distBBox(node, 0, node.children.length, toBBox, node);\n}\n\n// min bounding rectangle of node children from k to p-1\nfunction distBBox(node, k, p, toBBox, destNode) {\n    if (!destNode) destNode = createNode(null);\n    destNode.minX = Infinity;\n    destNode.minY = Infinity;\n    destNode.maxX = -Infinity;\n    destNode.maxY = -Infinity;\n\n    for (let i = k; i < p; i++) {\n        const child = node.children[i];\n        extend(destNode, node.leaf ? toBBox(child) : child);\n    }\n\n    return destNode;\n}\n\nfunction extend(a, b) {\n    a.minX = Math.min(a.minX, b.minX);\n    a.minY = Math.min(a.minY, b.minY);\n    a.maxX = Math.max(a.maxX, b.maxX);\n    a.maxY = Math.max(a.maxY, b.maxY);\n    return a;\n}\n\nfunction compareNodeMinX(a, b) { return a.minX - b.minX; }\nfunction compareNodeMinY(a, b) { return a.minY - b.minY; }\n\nfunction bboxArea(a)   { return (a.maxX - a.minX) * (a.maxY - a.minY); }\nfunction bboxMargin(a) { return (a.maxX - a.minX) + (a.maxY - a.minY); }\n\nfunction enlargedArea(a, b) {\n    return (Math.max(b.maxX, a.maxX) - Math.min(b.minX, a.minX)) *\n           (Math.max(b.maxY, a.maxY) - Math.min(b.minY, a.minY));\n}\n\nfunction intersectionArea(a, b) {\n    const minX = Math.max(a.minX, b.minX);\n    const minY = Math.max(a.minY, b.minY);\n    const maxX = Math.min(a.maxX, b.maxX);\n    const maxY = Math.min(a.maxY, b.maxY);\n\n    return Math.max(0, maxX - minX) *\n           Math.max(0, maxY - minY);\n}\n\nfunction contains(a, b) {\n    return a.minX <= b.minX &&\n           a.minY <= b.minY &&\n           b.maxX <= a.maxX &&\n           b.maxY <= a.maxY;\n}\n\nfunction intersects(a, b) {\n    return b.minX <= a.maxX &&\n           b.minY <= a.maxY &&\n           b.maxX >= a.minX &&\n           b.maxY >= a.minY;\n}\n\nfunction createNode(children) {\n    return {\n        children,\n        height: 1,\n        leaf: true,\n        minX: Infinity,\n        minY: Infinity,\n        maxX: -Infinity,\n        maxY: -Infinity\n    };\n}\n\n// sort an array so that items come in groups of n unsorted items, with groups sorted between each other;\n// combines selection algorithm with binary divide & conquer approach\n\nfunction multiSelect(arr, left, right, n, compare) {\n    const stack = [left, right];\n\n    while (stack.length) {\n        right = stack.pop();\n        left = stack.pop();\n\n        if (right - left <= n) continue;\n\n        const mid = left + Math.ceil((right - left) / n / 2) * n;\n        quickselect(arr, mid, left, right, compare);\n\n        stack.push(left, mid, mid, right);\n    }\n}\n","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/BaseVector\n */\nimport Layer from './Layer.js';\nimport RBush from 'rbush';\nimport { assign } from '../obj.js';\nimport { createDefaultStyle, toFunction as toStyleFunction, } from '../style/Style.js';\n/**\n * @template {import(\"../source/Vector.js\").default|import(\"../source/VectorTile.js\").default} VectorSourceType\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {import(\"../render.js\").OrderFunction} [renderOrder] Render order. Function to be used when sorting\n * features before rendering. By default features are drawn in the order that they are created. Use\n * `null` to avoid the sort, but get an undefined draw order.\n * @property {number} [renderBuffer=100] The buffer in pixels around the viewport extent used by the\n * renderer when getting features from the vector source for the rendering or hit-detection.\n * Recommended value: the size of the largest symbol, line width or label.\n * @property {VectorSourceType} [source] Source.\n * @property {import(\"../PluggableMap.js\").default} [map] Sets the layer as overlay on a map. The map will not manage\n * this layer in its layers collection, and the layer will be rendered on top. This is useful for\n * temporary layers. The standard way to add a layer to a map and have it managed by the map is to\n * use {@link import(\"../PluggableMap.js\").default#addLayer map.addLayer()}.\n * @property {boolean} [declutter=false] Declutter images and text. Decluttering is applied to all\n * image and text styles of all Vector and VectorTile layers that have set this to `true`. The priority\n * is defined by the z-index of the layer, the `zIndex` of the style and the render order of features.\n * Higher z-index means higher priority. Within the same z-index, a feature rendered before another has\n * higher priority.\n * @property {import(\"../style/Style.js\").StyleLike|null} [style] Layer style. When set to `null`, only\n * features that have their own style will be rendered. See {@link module:ol/style/Style~Style} for the default style\n * which will be used if this is not set.\n * @property {import(\"./Base.js\").BackgroundColor} [background] Background color for the layer. If not specified, no background\n * will be rendered.\n * @property {boolean} [updateWhileAnimating=false] When set to `true`, feature batches will\n * be recreated during animations. This means that no vectors will be shown clipped, but the\n * setting will have a performance impact for large amounts of vector data. When set to `false`,\n * batches will be recreated when no animation is active.\n * @property {boolean} [updateWhileInteracting=false] When set to `true`, feature batches will\n * be recreated during interactions. See also `updateWhileAnimating`.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @enum {string}\n * @private\n */\nvar Property = {\n    RENDER_ORDER: 'renderOrder',\n};\n/**\n * @classdesc\n * Vector data that is rendered client-side.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Vector.js\").default|import(\"../source/VectorTile.js\").default} VectorSourceType\n * @template {import(\"../renderer/Layer.js\").default} RendererType\n * @extends {Layer<VectorSourceType, RendererType>}\n * @api\n */\nvar BaseVectorLayer = /** @class */ (function (_super) {\n    __extends(BaseVectorLayer, _super);\n    /**\n     * @param {Options<VectorSourceType>} [opt_options] Options.\n     */\n    function BaseVectorLayer(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var baseOptions = assign({}, options);\n        delete baseOptions.style;\n        delete baseOptions.renderBuffer;\n        delete baseOptions.updateWhileAnimating;\n        delete baseOptions.updateWhileInteracting;\n        _this = _super.call(this, baseOptions) || this;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.declutter_ =\n            options.declutter !== undefined ? options.declutter : false;\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.renderBuffer_ =\n            options.renderBuffer !== undefined ? options.renderBuffer : 100;\n        /**\n         * User provided style.\n         * @type {import(\"../style/Style.js\").StyleLike}\n         * @private\n         */\n        _this.style_ = null;\n        /**\n         * Style function for use within the library.\n         * @type {import(\"../style/Style.js\").StyleFunction|undefined}\n         * @private\n         */\n        _this.styleFunction_ = undefined;\n        _this.setStyle(options.style);\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.updateWhileAnimating_ =\n            options.updateWhileAnimating !== undefined\n                ? options.updateWhileAnimating\n                : false;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.updateWhileInteracting_ =\n            options.updateWhileInteracting !== undefined\n                ? options.updateWhileInteracting\n                : false;\n        return _this;\n    }\n    /**\n     * @return {boolean} Declutter.\n     */\n    BaseVectorLayer.prototype.getDeclutter = function () {\n        return this.declutter_;\n    };\n    /**\n     * Get the topmost feature that intersects the given pixel on the viewport. Returns a promise\n     * that resolves with an array of features. The array will either contain the topmost feature\n     * when a hit was detected, or it will be empty.\n     *\n     * The hit detection algorithm used for this method is optimized for performance, but is less\n     * accurate than the one used in {@link import(\"../PluggableMap.js\").default#getFeaturesAtPixel}: Text\n     * is not considered, and icons are only represented by their bounding box instead of the exact\n     * image.\n     *\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../Feature\").default>>} Promise that resolves with an array of features.\n     * @api\n     */\n    BaseVectorLayer.prototype.getFeatures = function (pixel) {\n        return _super.prototype.getFeatures.call(this, pixel);\n    };\n    /**\n     * @return {number|undefined} Render buffer.\n     */\n    BaseVectorLayer.prototype.getRenderBuffer = function () {\n        return this.renderBuffer_;\n    };\n    /**\n     * @return {function(import(\"../Feature.js\").default, import(\"../Feature.js\").default): number|null|undefined} Render\n     *     order.\n     */\n    BaseVectorLayer.prototype.getRenderOrder = function () {\n        return /** @type {import(\"../render.js\").OrderFunction|null|undefined} */ (this.get(Property.RENDER_ORDER));\n    };\n    /**\n     * Get the style for features.  This returns whatever was passed to the `style`\n     * option at construction or to the `setStyle` method.\n     * @return {import(\"../style/Style.js\").StyleLike|null|undefined} Layer style.\n     * @api\n     */\n    BaseVectorLayer.prototype.getStyle = function () {\n        return this.style_;\n    };\n    /**\n     * Get the style function.\n     * @return {import(\"../style/Style.js\").StyleFunction|undefined} Layer style function.\n     * @api\n     */\n    BaseVectorLayer.prototype.getStyleFunction = function () {\n        return this.styleFunction_;\n    };\n    /**\n     * @return {boolean} Whether the rendered layer should be updated while\n     *     animating.\n     */\n    BaseVectorLayer.prototype.getUpdateWhileAnimating = function () {\n        return this.updateWhileAnimating_;\n    };\n    /**\n     * @return {boolean} Whether the rendered layer should be updated while\n     *     interacting.\n     */\n    BaseVectorLayer.prototype.getUpdateWhileInteracting = function () {\n        return this.updateWhileInteracting_;\n    };\n    /**\n     * Render declutter items for this layer\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    BaseVectorLayer.prototype.renderDeclutter = function (frameState) {\n        if (!frameState.declutterTree) {\n            frameState.declutterTree = new RBush(9);\n        }\n        /** @type {*} */ (this.getRenderer()).renderDeclutter(frameState);\n    };\n    /**\n     * @param {import(\"../render.js\").OrderFunction|null|undefined} renderOrder\n     *     Render order.\n     */\n    BaseVectorLayer.prototype.setRenderOrder = function (renderOrder) {\n        this.set(Property.RENDER_ORDER, renderOrder);\n    };\n    /**\n     * Set the style for features.  This can be a single style object, an array\n     * of styles, or a function that takes a feature and resolution and returns\n     * an array of styles. If set to `null`, the layer has no style (a `null` style),\n     * so only features that have their own styles will be rendered in the layer. Call\n     * `setStyle()` without arguments to reset to the default style. See\n     * {@link module:ol/style/Style~Style} for information on the default style.\n     * @param {import(\"../style/Style.js\").StyleLike|null} [opt_style] Layer style.\n     * @api\n     */\n    BaseVectorLayer.prototype.setStyle = function (opt_style) {\n        this.style_ = opt_style !== undefined ? opt_style : createDefaultStyle;\n        this.styleFunction_ =\n            opt_style === null ? undefined : toStyleFunction(this.style_);\n        this.changed();\n    };\n    return BaseVectorLayer;\n}(Layer));\nexport default BaseVectorLayer;\n//# sourceMappingURL=BaseVector.js.map","/**\n * @module ol/render/canvas/Instruction\n */\n/**\n * @enum {number}\n */\nvar Instruction = {\n    BEGIN_GEOMETRY: 0,\n    BEGIN_PATH: 1,\n    CIRCLE: 2,\n    CLOSE_PATH: 3,\n    CUSTOM: 4,\n    DRAW_CHARS: 5,\n    DRAW_IMAGE: 6,\n    END_GEOMETRY: 7,\n    FILL: 8,\n    MOVE_TO_LINE_TO: 9,\n    SET_FILL_STYLE: 10,\n    SET_STROKE_STYLE: 11,\n    STROKE: 12,\n};\n/**\n * @type {Array<Instruction>}\n */\nexport var fillInstruction = [Instruction.FILL];\n/**\n * @type {Array<Instruction>}\n */\nexport var strokeInstruction = [Instruction.STROKE];\n/**\n * @type {Array<Instruction>}\n */\nexport var beginPathInstruction = [Instruction.BEGIN_PATH];\n/**\n * @type {Array<Instruction>}\n */\nexport var closePathInstruction = [Instruction.CLOSE_PATH];\nexport default Instruction;\n//# sourceMappingURL=Instruction.js.map","/**\n * @module ol/render/VectorContext\n */\n/**\n * @classdesc\n * Context for drawing geometries.  A vector context is available on render\n * events and does not need to be constructed directly.\n * @api\n */\nvar VectorContext = /** @class */ (function () {\n    function VectorContext() {\n    }\n    /**\n     * Render a geometry with a custom renderer.\n     *\n     * @param {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     * @param {Function} renderer Renderer.\n     * @param {Function} hitDetectionRenderer Renderer.\n     */\n    VectorContext.prototype.drawCustom = function (geometry, feature, renderer, hitDetectionRenderer) { };\n    /**\n     * Render a geometry.\n     *\n     * @param {import(\"../geom/Geometry.js\").default} geometry The geometry to render.\n     */\n    VectorContext.prototype.drawGeometry = function (geometry) { };\n    /**\n     * Set the rendering style.\n     *\n     * @param {import(\"../style/Style.js\").default} style The rendering style.\n     */\n    VectorContext.prototype.setStyle = function (style) { };\n    /**\n     * @param {import(\"../geom/Circle.js\").default} circleGeometry Circle geometry.\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     */\n    VectorContext.prototype.drawCircle = function (circleGeometry, feature) { };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"../style/Style.js\").default} style Style.\n     */\n    VectorContext.prototype.drawFeature = function (feature, style) { };\n    /**\n     * @param {import(\"../geom/GeometryCollection.js\").default} geometryCollectionGeometry Geometry collection.\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     */\n    VectorContext.prototype.drawGeometryCollection = function (geometryCollectionGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/LineString.js\").default|import(\"./Feature.js\").default} lineStringGeometry Line string geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawLineString = function (lineStringGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/MultiLineString.js\").default|import(\"./Feature.js\").default} multiLineStringGeometry MultiLineString geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawMultiLineString = function (multiLineStringGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/MultiPoint.js\").default|import(\"./Feature.js\").default} multiPointGeometry MultiPoint geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawMultiPoint = function (multiPointGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/MultiPolygon.js\").default} multiPolygonGeometry MultiPolygon geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawMultiPolygon = function (multiPolygonGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/Point.js\").default|import(\"./Feature.js\").default} pointGeometry Point geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawPoint = function (pointGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/Polygon.js\").default|import(\"./Feature.js\").default} polygonGeometry Polygon geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawPolygon = function (polygonGeometry, feature) { };\n    /**\n     * @param {import(\"../geom/SimpleGeometry.js\").default|import(\"./Feature.js\").default} geometry Geometry.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     */\n    VectorContext.prototype.drawText = function (geometry, feature) { };\n    /**\n     * @param {import(\"../style/Fill.js\").default} fillStyle Fill style.\n     * @param {import(\"../style/Stroke.js\").default} strokeStyle Stroke style.\n     */\n    VectorContext.prototype.setFillStrokeStyle = function (fillStyle, strokeStyle) { };\n    /**\n     * @param {import(\"../style/Image.js\").default} imageStyle Image style.\n     * @param {import(\"../render/canvas.js\").DeclutterImageWithText} [opt_declutterImageWithText] Shared data for combined decluttering with a text style.\n     */\n    VectorContext.prototype.setImageStyle = function (imageStyle, opt_declutterImageWithText) { };\n    /**\n     * @param {import(\"../style/Text.js\").default} textStyle Text style.\n     * @param {import(\"../render/canvas.js\").DeclutterImageWithText} [opt_declutterImageWithText] Shared data for combined decluttering with an image style.\n     */\n    VectorContext.prototype.setTextStyle = function (textStyle, opt_declutterImageWithText) { };\n    return VectorContext;\n}());\nexport default VectorContext;\n//# sourceMappingURL=VectorContext.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/render/canvas/Builder\n */\nimport CanvasInstruction from './Instruction.js';\nimport GeometryType from '../../geom/GeometryType.js';\nimport Relationship from '../../extent/Relationship.js';\nimport VectorContext from '../VectorContext.js';\nimport { asColorLike } from '../../colorlike.js';\nimport { buffer, clone, containsCoordinate, coordinateRelationship, } from '../../extent.js';\nimport { defaultFillStyle, defaultLineCap, defaultLineDash, defaultLineDashOffset, defaultLineJoin, defaultLineWidth, defaultMiterLimit, defaultStrokeStyle, } from '../canvas.js';\nimport { equals, reverseSubArray } from '../../array.js';\nimport { inflateCoordinates, inflateCoordinatesArray, inflateMultiCoordinatesArray, } from '../../geom/flat/inflate.js';\nvar CanvasBuilder = /** @class */ (function (_super) {\n    __extends(CanvasBuilder, _super);\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Maximum extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function CanvasBuilder(tolerance, maxExtent, resolution, pixelRatio) {\n        var _this = _super.call(this) || this;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.tolerance = tolerance;\n        /**\n         * @protected\n         * @const\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.maxExtent = maxExtent;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.pixelRatio = pixelRatio;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.maxLineWidth = 0;\n        /**\n         * @protected\n         * @const\n         * @type {number}\n         */\n        _this.resolution = resolution;\n        /**\n         * @private\n         * @type {Array<*>}\n         */\n        _this.beginGeometryInstruction1_ = null;\n        /**\n         * @private\n         * @type {Array<*>}\n         */\n        _this.beginGeometryInstruction2_ = null;\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.bufferedMaxExtent_ = null;\n        /**\n         * @protected\n         * @type {Array<*>}\n         */\n        _this.instructions = [];\n        /**\n         * @protected\n         * @type {Array<number>}\n         */\n        _this.coordinates = [];\n        /**\n         * @private\n         * @type {import(\"../../coordinate.js\").Coordinate}\n         */\n        _this.tmpCoordinate_ = [];\n        /**\n         * @protected\n         * @type {Array<*>}\n         */\n        _this.hitDetectionInstructions = [];\n        /**\n         * @protected\n         * @type {import(\"../canvas.js\").FillStrokeState}\n         */\n        _this.state = /** @type {import(\"../canvas.js\").FillStrokeState} */ ({});\n        return _this;\n    }\n    /**\n     * @protected\n     * @param {Array<number>} dashArray Dash array.\n     * @return {Array<number>} Dash array with pixel ratio applied\n     */\n    CanvasBuilder.prototype.applyPixelRatio = function (dashArray) {\n        var pixelRatio = this.pixelRatio;\n        return pixelRatio == 1\n            ? dashArray\n            : dashArray.map(function (dash) {\n                return dash * pixelRatio;\n            });\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} stride Stride.\n     * @protected\n     * @return {number} My end\n     */\n    CanvasBuilder.prototype.appendFlatPointCoordinates = function (flatCoordinates, stride) {\n        var extent = this.getBufferedMaxExtent();\n        var tmpCoord = this.tmpCoordinate_;\n        var coordinates = this.coordinates;\n        var myEnd = coordinates.length;\n        for (var i = 0, ii = flatCoordinates.length; i < ii; i += stride) {\n            tmpCoord[0] = flatCoordinates[i];\n            tmpCoord[1] = flatCoordinates[i + 1];\n            if (containsCoordinate(extent, tmpCoord)) {\n                coordinates[myEnd++] = tmpCoord[0];\n                coordinates[myEnd++] = tmpCoord[1];\n            }\n        }\n        return myEnd;\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {number} end End.\n     * @param {number} stride Stride.\n     * @param {boolean} closed Last input coordinate equals first.\n     * @param {boolean} skipFirst Skip first coordinate.\n     * @protected\n     * @return {number} My end.\n     */\n    CanvasBuilder.prototype.appendFlatLineCoordinates = function (flatCoordinates, offset, end, stride, closed, skipFirst) {\n        var coordinates = this.coordinates;\n        var myEnd = coordinates.length;\n        var extent = this.getBufferedMaxExtent();\n        if (skipFirst) {\n            offset += stride;\n        }\n        var lastXCoord = flatCoordinates[offset];\n        var lastYCoord = flatCoordinates[offset + 1];\n        var nextCoord = this.tmpCoordinate_;\n        var skipped = true;\n        var i, lastRel, nextRel;\n        for (i = offset + stride; i < end; i += stride) {\n            nextCoord[0] = flatCoordinates[i];\n            nextCoord[1] = flatCoordinates[i + 1];\n            nextRel = coordinateRelationship(extent, nextCoord);\n            if (nextRel !== lastRel) {\n                if (skipped) {\n                    coordinates[myEnd++] = lastXCoord;\n                    coordinates[myEnd++] = lastYCoord;\n                    skipped = false;\n                }\n                coordinates[myEnd++] = nextCoord[0];\n                coordinates[myEnd++] = nextCoord[1];\n            }\n            else if (nextRel === Relationship.INTERSECTING) {\n                coordinates[myEnd++] = nextCoord[0];\n                coordinates[myEnd++] = nextCoord[1];\n                skipped = false;\n            }\n            else {\n                skipped = true;\n            }\n            lastXCoord = nextCoord[0];\n            lastYCoord = nextCoord[1];\n            lastRel = nextRel;\n        }\n        // Last coordinate equals first or only one point to append:\n        if ((closed && skipped) || i === offset + stride) {\n            coordinates[myEnd++] = lastXCoord;\n            coordinates[myEnd++] = lastYCoord;\n        }\n        return myEnd;\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {Array<number>} ends Ends.\n     * @param {number} stride Stride.\n     * @param {Array<number>} builderEnds Builder ends.\n     * @return {number} Offset.\n     */\n    CanvasBuilder.prototype.drawCustomCoordinates_ = function (flatCoordinates, offset, ends, stride, builderEnds) {\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            var end = ends[i];\n            var builderEnd = this.appendFlatLineCoordinates(flatCoordinates, offset, end, stride, false, false);\n            builderEnds.push(builderEnd);\n            offset = end;\n        }\n        return offset;\n    };\n    /**\n     * @param {import(\"../../geom/SimpleGeometry.js\").default} geometry Geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     * @param {Function} renderer Renderer.\n     * @param {Function} hitDetectionRenderer Renderer.\n     */\n    CanvasBuilder.prototype.drawCustom = function (geometry, feature, renderer, hitDetectionRenderer) {\n        this.beginGeometry(geometry, feature);\n        var type = geometry.getType();\n        var stride = geometry.getStride();\n        var builderBegin = this.coordinates.length;\n        var flatCoordinates, builderEnd, builderEnds, builderEndss;\n        var offset;\n        switch (type) {\n            case GeometryType.MULTI_POLYGON:\n                flatCoordinates =\n                    /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry).getOrientedFlatCoordinates();\n                builderEndss = [];\n                var endss = \n                /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry).getEndss();\n                offset = 0;\n                for (var i = 0, ii = endss.length; i < ii; ++i) {\n                    var myEnds = [];\n                    offset = this.drawCustomCoordinates_(flatCoordinates, offset, endss[i], stride, myEnds);\n                    builderEndss.push(myEnds);\n                }\n                this.instructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEndss,\n                    geometry,\n                    renderer,\n                    inflateMultiCoordinatesArray,\n                ]);\n                this.hitDetectionInstructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEndss,\n                    geometry,\n                    hitDetectionRenderer || renderer,\n                    inflateMultiCoordinatesArray,\n                ]);\n                break;\n            case GeometryType.POLYGON:\n            case GeometryType.MULTI_LINE_STRING:\n                builderEnds = [];\n                flatCoordinates =\n                    type == GeometryType.POLYGON\n                        ? /** @type {import(\"../../geom/Polygon.js\").default} */ (geometry).getOrientedFlatCoordinates()\n                        : geometry.getFlatCoordinates();\n                offset = this.drawCustomCoordinates_(flatCoordinates, 0, \n                /** @type {import(\"../../geom/Polygon.js\").default|import(\"../../geom/MultiLineString.js\").default} */ (geometry).getEnds(), stride, builderEnds);\n                this.instructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnds,\n                    geometry,\n                    renderer,\n                    inflateCoordinatesArray,\n                ]);\n                this.hitDetectionInstructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnds,\n                    geometry,\n                    hitDetectionRenderer || renderer,\n                    inflateCoordinatesArray,\n                ]);\n                break;\n            case GeometryType.LINE_STRING:\n            case GeometryType.CIRCLE:\n                flatCoordinates = geometry.getFlatCoordinates();\n                builderEnd = this.appendFlatLineCoordinates(flatCoordinates, 0, flatCoordinates.length, stride, false, false);\n                this.instructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnd,\n                    geometry,\n                    renderer,\n                    inflateCoordinates,\n                ]);\n                this.hitDetectionInstructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnd,\n                    geometry,\n                    hitDetectionRenderer || renderer,\n                    inflateCoordinates,\n                ]);\n                break;\n            case GeometryType.MULTI_POINT:\n                flatCoordinates = geometry.getFlatCoordinates();\n                builderEnd = this.appendFlatPointCoordinates(flatCoordinates, stride);\n                if (builderEnd > builderBegin) {\n                    this.instructions.push([\n                        CanvasInstruction.CUSTOM,\n                        builderBegin,\n                        builderEnd,\n                        geometry,\n                        renderer,\n                        inflateCoordinates,\n                    ]);\n                    this.hitDetectionInstructions.push([\n                        CanvasInstruction.CUSTOM,\n                        builderBegin,\n                        builderEnd,\n                        geometry,\n                        hitDetectionRenderer || renderer,\n                        inflateCoordinates,\n                    ]);\n                }\n                break;\n            case GeometryType.POINT:\n                flatCoordinates = geometry.getFlatCoordinates();\n                this.coordinates.push(flatCoordinates[0], flatCoordinates[1]);\n                builderEnd = this.coordinates.length;\n                this.instructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnd,\n                    geometry,\n                    renderer,\n                ]);\n                this.hitDetectionInstructions.push([\n                    CanvasInstruction.CUSTOM,\n                    builderBegin,\n                    builderEnd,\n                    geometry,\n                    hitDetectionRenderer || renderer,\n                ]);\n                break;\n            default:\n        }\n        this.endGeometry(feature);\n    };\n    /**\n     * @protected\n     * @param {import(\"../../geom/Geometry\").default|import(\"../Feature.js\").default} geometry The geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasBuilder.prototype.beginGeometry = function (geometry, feature) {\n        this.beginGeometryInstruction1_ = [\n            CanvasInstruction.BEGIN_GEOMETRY,\n            feature,\n            0,\n            geometry,\n        ];\n        this.instructions.push(this.beginGeometryInstruction1_);\n        this.beginGeometryInstruction2_ = [\n            CanvasInstruction.BEGIN_GEOMETRY,\n            feature,\n            0,\n            geometry,\n        ];\n        this.hitDetectionInstructions.push(this.beginGeometryInstruction2_);\n    };\n    /**\n     * @return {import(\"../canvas.js\").SerializableInstructions} the serializable instructions.\n     */\n    CanvasBuilder.prototype.finish = function () {\n        return {\n            instructions: this.instructions,\n            hitDetectionInstructions: this.hitDetectionInstructions,\n            coordinates: this.coordinates,\n        };\n    };\n    /**\n     * Reverse the hit detection instructions.\n     */\n    CanvasBuilder.prototype.reverseHitDetectionInstructions = function () {\n        var hitDetectionInstructions = this.hitDetectionInstructions;\n        // step 1 - reverse array\n        hitDetectionInstructions.reverse();\n        // step 2 - reverse instructions within geometry blocks\n        var i;\n        var n = hitDetectionInstructions.length;\n        var instruction;\n        var type;\n        var begin = -1;\n        for (i = 0; i < n; ++i) {\n            instruction = hitDetectionInstructions[i];\n            type = /** @type {import(\"./Instruction.js\").default} */ (instruction[0]);\n            if (type == CanvasInstruction.END_GEOMETRY) {\n                begin = i;\n            }\n            else if (type == CanvasInstruction.BEGIN_GEOMETRY) {\n                instruction[2] = i;\n                reverseSubArray(this.hitDetectionInstructions, begin, i);\n                begin = -1;\n            }\n        }\n    };\n    /**\n     * @param {import(\"../../style/Fill.js\").default} fillStyle Fill style.\n     * @param {import(\"../../style/Stroke.js\").default} strokeStyle Stroke style.\n     */\n    CanvasBuilder.prototype.setFillStrokeStyle = function (fillStyle, strokeStyle) {\n        var state = this.state;\n        if (fillStyle) {\n            var fillStyleColor = fillStyle.getColor();\n            state.fillStyle = asColorLike(fillStyleColor ? fillStyleColor : defaultFillStyle);\n        }\n        else {\n            state.fillStyle = undefined;\n        }\n        if (strokeStyle) {\n            var strokeStyleColor = strokeStyle.getColor();\n            state.strokeStyle = asColorLike(strokeStyleColor ? strokeStyleColor : defaultStrokeStyle);\n            var strokeStyleLineCap = strokeStyle.getLineCap();\n            state.lineCap =\n                strokeStyleLineCap !== undefined ? strokeStyleLineCap : defaultLineCap;\n            var strokeStyleLineDash = strokeStyle.getLineDash();\n            state.lineDash = strokeStyleLineDash\n                ? strokeStyleLineDash.slice()\n                : defaultLineDash;\n            var strokeStyleLineDashOffset = strokeStyle.getLineDashOffset();\n            state.lineDashOffset = strokeStyleLineDashOffset\n                ? strokeStyleLineDashOffset\n                : defaultLineDashOffset;\n            var strokeStyleLineJoin = strokeStyle.getLineJoin();\n            state.lineJoin =\n                strokeStyleLineJoin !== undefined\n                    ? strokeStyleLineJoin\n                    : defaultLineJoin;\n            var strokeStyleWidth = strokeStyle.getWidth();\n            state.lineWidth =\n                strokeStyleWidth !== undefined ? strokeStyleWidth : defaultLineWidth;\n            var strokeStyleMiterLimit = strokeStyle.getMiterLimit();\n            state.miterLimit =\n                strokeStyleMiterLimit !== undefined\n                    ? strokeStyleMiterLimit\n                    : defaultMiterLimit;\n            if (state.lineWidth > this.maxLineWidth) {\n                this.maxLineWidth = state.lineWidth;\n                // invalidate the buffered max extent cache\n                this.bufferedMaxExtent_ = null;\n            }\n        }\n        else {\n            state.strokeStyle = undefined;\n            state.lineCap = undefined;\n            state.lineDash = null;\n            state.lineDashOffset = undefined;\n            state.lineJoin = undefined;\n            state.lineWidth = undefined;\n            state.miterLimit = undefined;\n        }\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     * @return {Array<*>} Fill instruction.\n     */\n    CanvasBuilder.prototype.createFill = function (state) {\n        var fillStyle = state.fillStyle;\n        /** @type {Array<*>} */\n        var fillInstruction = [CanvasInstruction.SET_FILL_STYLE, fillStyle];\n        if (typeof fillStyle !== 'string') {\n            // Fill is a pattern or gradient - align it!\n            fillInstruction.push(true);\n        }\n        return fillInstruction;\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     */\n    CanvasBuilder.prototype.applyStroke = function (state) {\n        this.instructions.push(this.createStroke(state));\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     * @return {Array<*>} Stroke instruction.\n     */\n    CanvasBuilder.prototype.createStroke = function (state) {\n        return [\n            CanvasInstruction.SET_STROKE_STYLE,\n            state.strokeStyle,\n            state.lineWidth * this.pixelRatio,\n            state.lineCap,\n            state.lineJoin,\n            state.miterLimit,\n            this.applyPixelRatio(state.lineDash),\n            state.lineDashOffset * this.pixelRatio,\n        ];\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     * @param {function(this:CanvasBuilder, import(\"../canvas.js\").FillStrokeState):Array<*>} createFill Create fill.\n     */\n    CanvasBuilder.prototype.updateFillStyle = function (state, createFill) {\n        var fillStyle = state.fillStyle;\n        if (typeof fillStyle !== 'string' || state.currentFillStyle != fillStyle) {\n            if (fillStyle !== undefined) {\n                this.instructions.push(createFill.call(this, state));\n            }\n            state.currentFillStyle = fillStyle;\n        }\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     * @param {function(this:CanvasBuilder, import(\"../canvas.js\").FillStrokeState): void} applyStroke Apply stroke.\n     */\n    CanvasBuilder.prototype.updateStrokeStyle = function (state, applyStroke) {\n        var strokeStyle = state.strokeStyle;\n        var lineCap = state.lineCap;\n        var lineDash = state.lineDash;\n        var lineDashOffset = state.lineDashOffset;\n        var lineJoin = state.lineJoin;\n        var lineWidth = state.lineWidth;\n        var miterLimit = state.miterLimit;\n        if (state.currentStrokeStyle != strokeStyle ||\n            state.currentLineCap != lineCap ||\n            (lineDash != state.currentLineDash &&\n                !equals(state.currentLineDash, lineDash)) ||\n            state.currentLineDashOffset != lineDashOffset ||\n            state.currentLineJoin != lineJoin ||\n            state.currentLineWidth != lineWidth ||\n            state.currentMiterLimit != miterLimit) {\n            if (strokeStyle !== undefined) {\n                applyStroke.call(this, state);\n            }\n            state.currentStrokeStyle = strokeStyle;\n            state.currentLineCap = lineCap;\n            state.currentLineDash = lineDash;\n            state.currentLineDashOffset = lineDashOffset;\n            state.currentLineJoin = lineJoin;\n            state.currentLineWidth = lineWidth;\n            state.currentMiterLimit = miterLimit;\n        }\n    };\n    /**\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasBuilder.prototype.endGeometry = function (feature) {\n        this.beginGeometryInstruction1_[2] = this.instructions.length;\n        this.beginGeometryInstruction1_ = null;\n        this.beginGeometryInstruction2_[2] = this.hitDetectionInstructions.length;\n        this.beginGeometryInstruction2_ = null;\n        var endGeometryInstruction = [CanvasInstruction.END_GEOMETRY, feature];\n        this.instructions.push(endGeometryInstruction);\n        this.hitDetectionInstructions.push(endGeometryInstruction);\n    };\n    /**\n     * Get the buffered rendering extent.  Rendering will be clipped to the extent\n     * provided to the constructor.  To account for symbolizers that may intersect\n     * this extent, we calculate a buffered extent (e.g. based on stroke width).\n     * @return {import(\"../../extent.js\").Extent} The buffered rendering extent.\n     * @protected\n     */\n    CanvasBuilder.prototype.getBufferedMaxExtent = function () {\n        if (!this.bufferedMaxExtent_) {\n            this.bufferedMaxExtent_ = clone(this.maxExtent);\n            if (this.maxLineWidth > 0) {\n                var width = (this.resolution * (this.maxLineWidth + 1)) / 2;\n                buffer(this.bufferedMaxExtent_, width, this.bufferedMaxExtent_);\n            }\n        }\n        return this.bufferedMaxExtent_;\n    };\n    return CanvasBuilder;\n}(VectorContext));\nexport default CanvasBuilder;\n//# sourceMappingURL=Builder.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/render/canvas/ImageBuilder\n */\nimport CanvasBuilder from './Builder.js';\nimport CanvasInstruction from './Instruction.js';\nvar CanvasImageBuilder = /** @class */ (function (_super) {\n    __extends(CanvasImageBuilder, _super);\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Maximum extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function CanvasImageBuilder(tolerance, maxExtent, resolution, pixelRatio) {\n        var _this = _super.call(this, tolerance, maxExtent, resolution, pixelRatio) || this;\n        /**\n         * @private\n         * @type {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement}\n         */\n        _this.hitDetectionImage_ = null;\n        /**\n         * @private\n         * @type {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement}\n         */\n        _this.image_ = null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.imagePixelRatio_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.anchorX_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.anchorY_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.height_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.opacity_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.originX_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.originY_ = undefined;\n        /**\n         * @private\n         * @type {boolean|undefined}\n         */\n        _this.rotateWithView_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.rotation_ = undefined;\n        /**\n         * @private\n         * @type {import(\"../../size.js\").Size|undefined}\n         */\n        _this.scale_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.width_ = undefined;\n        /**\n         * Data shared with a text builder for combined decluttering.\n         * @private\n         * @type {import(\"../canvas.js\").DeclutterImageWithText}\n         */\n        _this.declutterImageWithText_ = undefined;\n        return _this;\n    }\n    /**\n     * @param {import(\"../../geom/Point.js\").default|import(\"../Feature.js\").default} pointGeometry Point geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasImageBuilder.prototype.drawPoint = function (pointGeometry, feature) {\n        if (!this.image_) {\n            return;\n        }\n        this.beginGeometry(pointGeometry, feature);\n        var flatCoordinates = pointGeometry.getFlatCoordinates();\n        var stride = pointGeometry.getStride();\n        var myBegin = this.coordinates.length;\n        var myEnd = this.appendFlatPointCoordinates(flatCoordinates, stride);\n        this.instructions.push([\n            CanvasInstruction.DRAW_IMAGE,\n            myBegin,\n            myEnd,\n            this.image_,\n            // Remaining arguments to DRAW_IMAGE are in alphabetical order\n            this.anchorX_ * this.imagePixelRatio_,\n            this.anchorY_ * this.imagePixelRatio_,\n            Math.ceil(this.height_ * this.imagePixelRatio_),\n            this.opacity_,\n            this.originX_,\n            this.originY_,\n            this.rotateWithView_,\n            this.rotation_,\n            [\n                (this.scale_[0] * this.pixelRatio) / this.imagePixelRatio_,\n                (this.scale_[1] * this.pixelRatio) / this.imagePixelRatio_,\n            ],\n            Math.ceil(this.width_ * this.imagePixelRatio_),\n            this.declutterImageWithText_,\n        ]);\n        this.hitDetectionInstructions.push([\n            CanvasInstruction.DRAW_IMAGE,\n            myBegin,\n            myEnd,\n            this.hitDetectionImage_,\n            // Remaining arguments to DRAW_IMAGE are in alphabetical order\n            this.anchorX_,\n            this.anchorY_,\n            this.height_,\n            this.opacity_,\n            this.originX_,\n            this.originY_,\n            this.rotateWithView_,\n            this.rotation_,\n            this.scale_,\n            this.width_,\n            this.declutterImageWithText_,\n        ]);\n        this.endGeometry(feature);\n    };\n    /**\n     * @param {import(\"../../geom/MultiPoint.js\").default|import(\"../Feature.js\").default} multiPointGeometry MultiPoint geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasImageBuilder.prototype.drawMultiPoint = function (multiPointGeometry, feature) {\n        if (!this.image_) {\n            return;\n        }\n        this.beginGeometry(multiPointGeometry, feature);\n        var flatCoordinates = multiPointGeometry.getFlatCoordinates();\n        var stride = multiPointGeometry.getStride();\n        var myBegin = this.coordinates.length;\n        var myEnd = this.appendFlatPointCoordinates(flatCoordinates, stride);\n        this.instructions.push([\n            CanvasInstruction.DRAW_IMAGE,\n            myBegin,\n            myEnd,\n            this.image_,\n            // Remaining arguments to DRAW_IMAGE are in alphabetical order\n            this.anchorX_ * this.imagePixelRatio_,\n            this.anchorY_ * this.imagePixelRatio_,\n            Math.ceil(this.height_ * this.imagePixelRatio_),\n            this.opacity_,\n            this.originX_,\n            this.originY_,\n            this.rotateWithView_,\n            this.rotation_,\n            [\n                (this.scale_[0] * this.pixelRatio) / this.imagePixelRatio_,\n                (this.scale_[1] * this.pixelRatio) / this.imagePixelRatio_,\n            ],\n            Math.ceil(this.width_ * this.imagePixelRatio_),\n            this.declutterImageWithText_,\n        ]);\n        this.hitDetectionInstructions.push([\n            CanvasInstruction.DRAW_IMAGE,\n            myBegin,\n            myEnd,\n            this.hitDetectionImage_,\n            // Remaining arguments to DRAW_IMAGE are in alphabetical order\n            this.anchorX_,\n            this.anchorY_,\n            this.height_,\n            this.opacity_,\n            this.originX_,\n            this.originY_,\n            this.rotateWithView_,\n            this.rotation_,\n            this.scale_,\n            this.width_,\n            this.declutterImageWithText_,\n        ]);\n        this.endGeometry(feature);\n    };\n    /**\n     * @return {import(\"../canvas.js\").SerializableInstructions} the serializable instructions.\n     */\n    CanvasImageBuilder.prototype.finish = function () {\n        this.reverseHitDetectionInstructions();\n        // FIXME this doesn't really protect us against further calls to draw*Geometry\n        this.anchorX_ = undefined;\n        this.anchorY_ = undefined;\n        this.hitDetectionImage_ = null;\n        this.image_ = null;\n        this.imagePixelRatio_ = undefined;\n        this.height_ = undefined;\n        this.scale_ = undefined;\n        this.opacity_ = undefined;\n        this.originX_ = undefined;\n        this.originY_ = undefined;\n        this.rotateWithView_ = undefined;\n        this.rotation_ = undefined;\n        this.width_ = undefined;\n        return _super.prototype.finish.call(this);\n    };\n    /**\n     * @param {import(\"../../style/Image.js\").default} imageStyle Image style.\n     * @param {Object} [opt_sharedData] Shared data.\n     */\n    CanvasImageBuilder.prototype.setImageStyle = function (imageStyle, opt_sharedData) {\n        var anchor = imageStyle.getAnchor();\n        var size = imageStyle.getSize();\n        var hitDetectionImage = imageStyle.getHitDetectionImage();\n        var image = imageStyle.getImage(this.pixelRatio);\n        var origin = imageStyle.getOrigin();\n        this.imagePixelRatio_ = imageStyle.getPixelRatio(this.pixelRatio);\n        this.anchorX_ = anchor[0];\n        this.anchorY_ = anchor[1];\n        this.hitDetectionImage_ = hitDetectionImage;\n        this.image_ = image;\n        this.height_ = size[1];\n        this.opacity_ = imageStyle.getOpacity();\n        this.originX_ = origin[0] * this.imagePixelRatio_;\n        this.originY_ = origin[1] * this.imagePixelRatio_;\n        this.rotateWithView_ = imageStyle.getRotateWithView();\n        this.rotation_ = imageStyle.getRotation();\n        this.scale_ = imageStyle.getScaleArray();\n        this.width_ = size[0];\n        this.declutterImageWithText_ = opt_sharedData;\n    };\n    return CanvasImageBuilder;\n}(CanvasBuilder));\nexport default CanvasImageBuilder;\n//# sourceMappingURL=ImageBuilder.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/render/canvas/LineStringBuilder\n */\nimport CanvasBuilder from './Builder.js';\nimport CanvasInstruction, { beginPathInstruction, strokeInstruction, } from './Instruction.js';\nimport { defaultLineDash, defaultLineDashOffset } from '../canvas.js';\nvar CanvasLineStringBuilder = /** @class */ (function (_super) {\n    __extends(CanvasLineStringBuilder, _super);\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Maximum extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function CanvasLineStringBuilder(tolerance, maxExtent, resolution, pixelRatio) {\n        return _super.call(this, tolerance, maxExtent, resolution, pixelRatio) || this;\n    }\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {number} end End.\n     * @param {number} stride Stride.\n     * @private\n     * @return {number} end.\n     */\n    CanvasLineStringBuilder.prototype.drawFlatCoordinates_ = function (flatCoordinates, offset, end, stride) {\n        var myBegin = this.coordinates.length;\n        var myEnd = this.appendFlatLineCoordinates(flatCoordinates, offset, end, stride, false, false);\n        var moveToLineToInstruction = [\n            CanvasInstruction.MOVE_TO_LINE_TO,\n            myBegin,\n            myEnd,\n        ];\n        this.instructions.push(moveToLineToInstruction);\n        this.hitDetectionInstructions.push(moveToLineToInstruction);\n        return end;\n    };\n    /**\n     * @param {import(\"../../geom/LineString.js\").default|import(\"../Feature.js\").default} lineStringGeometry Line string geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasLineStringBuilder.prototype.drawLineString = function (lineStringGeometry, feature) {\n        var state = this.state;\n        var strokeStyle = state.strokeStyle;\n        var lineWidth = state.lineWidth;\n        if (strokeStyle === undefined || lineWidth === undefined) {\n            return;\n        }\n        this.updateStrokeStyle(state, this.applyStroke);\n        this.beginGeometry(lineStringGeometry, feature);\n        this.hitDetectionInstructions.push([\n            CanvasInstruction.SET_STROKE_STYLE,\n            state.strokeStyle,\n            state.lineWidth,\n            state.lineCap,\n            state.lineJoin,\n            state.miterLimit,\n            defaultLineDash,\n            defaultLineDashOffset,\n        ], beginPathInstruction);\n        var flatCoordinates = lineStringGeometry.getFlatCoordinates();\n        var stride = lineStringGeometry.getStride();\n        this.drawFlatCoordinates_(flatCoordinates, 0, flatCoordinates.length, stride);\n        this.hitDetectionInstructions.push(strokeInstruction);\n        this.endGeometry(feature);\n    };\n    /**\n     * @param {import(\"../../geom/MultiLineString.js\").default|import(\"../Feature.js\").default} multiLineStringGeometry MultiLineString geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasLineStringBuilder.prototype.drawMultiLineString = function (multiLineStringGeometry, feature) {\n        var state = this.state;\n        var strokeStyle = state.strokeStyle;\n        var lineWidth = state.lineWidth;\n        if (strokeStyle === undefined || lineWidth === undefined) {\n            return;\n        }\n        this.updateStrokeStyle(state, this.applyStroke);\n        this.beginGeometry(multiLineStringGeometry, feature);\n        this.hitDetectionInstructions.push([\n            CanvasInstruction.SET_STROKE_STYLE,\n            state.strokeStyle,\n            state.lineWidth,\n            state.lineCap,\n            state.lineJoin,\n            state.miterLimit,\n            state.lineDash,\n            state.lineDashOffset,\n        ], beginPathInstruction);\n        var ends = multiLineStringGeometry.getEnds();\n        var flatCoordinates = multiLineStringGeometry.getFlatCoordinates();\n        var stride = multiLineStringGeometry.getStride();\n        var offset = 0;\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            offset = this.drawFlatCoordinates_(flatCoordinates, offset, \n            /** @type {number} */ (ends[i]), stride);\n        }\n        this.hitDetectionInstructions.push(strokeInstruction);\n        this.endGeometry(feature);\n    };\n    /**\n     * @return {import(\"../canvas.js\").SerializableInstructions} the serializable instructions.\n     */\n    CanvasLineStringBuilder.prototype.finish = function () {\n        var state = this.state;\n        if (state.lastStroke != undefined &&\n            state.lastStroke != this.coordinates.length) {\n            this.instructions.push(strokeInstruction);\n        }\n        this.reverseHitDetectionInstructions();\n        this.state = null;\n        return _super.prototype.finish.call(this);\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillStrokeState} state State.\n     */\n    CanvasLineStringBuilder.prototype.applyStroke = function (state) {\n        if (state.lastStroke != undefined &&\n            state.lastStroke != this.coordinates.length) {\n            this.instructions.push(strokeInstruction);\n            state.lastStroke = this.coordinates.length;\n        }\n        state.lastStroke = 0;\n        _super.prototype.applyStroke.call(this, state);\n        this.instructions.push(beginPathInstruction);\n    };\n    return CanvasLineStringBuilder;\n}(CanvasBuilder));\nexport default CanvasLineStringBuilder;\n//# sourceMappingURL=LineStringBuilder.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/render/canvas/PolygonBuilder\n */\nimport CanvasBuilder from './Builder.js';\nimport CanvasInstruction, { beginPathInstruction, closePathInstruction, fillInstruction, strokeInstruction, } from './Instruction.js';\nimport { defaultFillStyle } from '../canvas.js';\nimport { snap } from '../../geom/flat/simplify.js';\nvar CanvasPolygonBuilder = /** @class */ (function (_super) {\n    __extends(CanvasPolygonBuilder, _super);\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Maximum extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function CanvasPolygonBuilder(tolerance, maxExtent, resolution, pixelRatio) {\n        return _super.call(this, tolerance, maxExtent, resolution, pixelRatio) || this;\n    }\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {Array<number>} ends Ends.\n     * @param {number} stride Stride.\n     * @private\n     * @return {number} End.\n     */\n    CanvasPolygonBuilder.prototype.drawFlatCoordinatess_ = function (flatCoordinates, offset, ends, stride) {\n        var state = this.state;\n        var fill = state.fillStyle !== undefined;\n        var stroke = state.strokeStyle !== undefined;\n        var numEnds = ends.length;\n        this.instructions.push(beginPathInstruction);\n        this.hitDetectionInstructions.push(beginPathInstruction);\n        for (var i = 0; i < numEnds; ++i) {\n            var end = ends[i];\n            var myBegin = this.coordinates.length;\n            var myEnd = this.appendFlatLineCoordinates(flatCoordinates, offset, end, stride, true, !stroke);\n            var moveToLineToInstruction = [\n                CanvasInstruction.MOVE_TO_LINE_TO,\n                myBegin,\n                myEnd,\n            ];\n            this.instructions.push(moveToLineToInstruction);\n            this.hitDetectionInstructions.push(moveToLineToInstruction);\n            if (stroke) {\n                // Performance optimization: only call closePath() when we have a stroke.\n                // Otherwise the ring is closed already (see appendFlatLineCoordinates above).\n                this.instructions.push(closePathInstruction);\n                this.hitDetectionInstructions.push(closePathInstruction);\n            }\n            offset = end;\n        }\n        if (fill) {\n            this.instructions.push(fillInstruction);\n            this.hitDetectionInstructions.push(fillInstruction);\n        }\n        if (stroke) {\n            this.instructions.push(strokeInstruction);\n            this.hitDetectionInstructions.push(strokeInstruction);\n        }\n        return offset;\n    };\n    /**\n     * @param {import(\"../../geom/Circle.js\").default} circleGeometry Circle geometry.\n     * @param {import(\"../../Feature.js\").default} feature Feature.\n     */\n    CanvasPolygonBuilder.prototype.drawCircle = function (circleGeometry, feature) {\n        var state = this.state;\n        var fillStyle = state.fillStyle;\n        var strokeStyle = state.strokeStyle;\n        if (fillStyle === undefined && strokeStyle === undefined) {\n            return;\n        }\n        this.setFillStrokeStyles_();\n        this.beginGeometry(circleGeometry, feature);\n        if (state.fillStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_FILL_STYLE,\n                defaultFillStyle,\n            ]);\n        }\n        if (state.strokeStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_STROKE_STYLE,\n                state.strokeStyle,\n                state.lineWidth,\n                state.lineCap,\n                state.lineJoin,\n                state.miterLimit,\n                state.lineDash,\n                state.lineDashOffset,\n            ]);\n        }\n        var flatCoordinates = circleGeometry.getFlatCoordinates();\n        var stride = circleGeometry.getStride();\n        var myBegin = this.coordinates.length;\n        this.appendFlatLineCoordinates(flatCoordinates, 0, flatCoordinates.length, stride, false, false);\n        var circleInstruction = [CanvasInstruction.CIRCLE, myBegin];\n        this.instructions.push(beginPathInstruction, circleInstruction);\n        this.hitDetectionInstructions.push(beginPathInstruction, circleInstruction);\n        if (state.fillStyle !== undefined) {\n            this.instructions.push(fillInstruction);\n            this.hitDetectionInstructions.push(fillInstruction);\n        }\n        if (state.strokeStyle !== undefined) {\n            this.instructions.push(strokeInstruction);\n            this.hitDetectionInstructions.push(strokeInstruction);\n        }\n        this.endGeometry(feature);\n    };\n    /**\n     * @param {import(\"../../geom/Polygon.js\").default|import(\"../Feature.js\").default} polygonGeometry Polygon geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasPolygonBuilder.prototype.drawPolygon = function (polygonGeometry, feature) {\n        var state = this.state;\n        var fillStyle = state.fillStyle;\n        var strokeStyle = state.strokeStyle;\n        if (fillStyle === undefined && strokeStyle === undefined) {\n            return;\n        }\n        this.setFillStrokeStyles_();\n        this.beginGeometry(polygonGeometry, feature);\n        if (state.fillStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_FILL_STYLE,\n                defaultFillStyle,\n            ]);\n        }\n        if (state.strokeStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_STROKE_STYLE,\n                state.strokeStyle,\n                state.lineWidth,\n                state.lineCap,\n                state.lineJoin,\n                state.miterLimit,\n                state.lineDash,\n                state.lineDashOffset,\n            ]);\n        }\n        var ends = polygonGeometry.getEnds();\n        var flatCoordinates = polygonGeometry.getOrientedFlatCoordinates();\n        var stride = polygonGeometry.getStride();\n        this.drawFlatCoordinatess_(flatCoordinates, 0, \n        /** @type {Array<number>} */ (ends), stride);\n        this.endGeometry(feature);\n    };\n    /**\n     * @param {import(\"../../geom/MultiPolygon.js\").default} multiPolygonGeometry MultiPolygon geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasPolygonBuilder.prototype.drawMultiPolygon = function (multiPolygonGeometry, feature) {\n        var state = this.state;\n        var fillStyle = state.fillStyle;\n        var strokeStyle = state.strokeStyle;\n        if (fillStyle === undefined && strokeStyle === undefined) {\n            return;\n        }\n        this.setFillStrokeStyles_();\n        this.beginGeometry(multiPolygonGeometry, feature);\n        if (state.fillStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_FILL_STYLE,\n                defaultFillStyle,\n            ]);\n        }\n        if (state.strokeStyle !== undefined) {\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.SET_STROKE_STYLE,\n                state.strokeStyle,\n                state.lineWidth,\n                state.lineCap,\n                state.lineJoin,\n                state.miterLimit,\n                state.lineDash,\n                state.lineDashOffset,\n            ]);\n        }\n        var endss = multiPolygonGeometry.getEndss();\n        var flatCoordinates = multiPolygonGeometry.getOrientedFlatCoordinates();\n        var stride = multiPolygonGeometry.getStride();\n        var offset = 0;\n        for (var i = 0, ii = endss.length; i < ii; ++i) {\n            offset = this.drawFlatCoordinatess_(flatCoordinates, offset, endss[i], stride);\n        }\n        this.endGeometry(feature);\n    };\n    /**\n     * @return {import(\"../canvas.js\").SerializableInstructions} the serializable instructions.\n     */\n    CanvasPolygonBuilder.prototype.finish = function () {\n        this.reverseHitDetectionInstructions();\n        this.state = null;\n        // We want to preserve topology when drawing polygons.  Polygons are\n        // simplified using quantization and point elimination. However, we might\n        // have received a mix of quantized and non-quantized geometries, so ensure\n        // that all are quantized by quantizing all coordinates in the batch.\n        var tolerance = this.tolerance;\n        if (tolerance !== 0) {\n            var coordinates = this.coordinates;\n            for (var i = 0, ii = coordinates.length; i < ii; ++i) {\n                coordinates[i] = snap(coordinates[i], tolerance);\n            }\n        }\n        return _super.prototype.finish.call(this);\n    };\n    /**\n     * @private\n     */\n    CanvasPolygonBuilder.prototype.setFillStrokeStyles_ = function () {\n        var state = this.state;\n        var fillStyle = state.fillStyle;\n        if (fillStyle !== undefined) {\n            this.updateFillStyle(state, this.createFill);\n        }\n        if (state.strokeStyle !== undefined) {\n            this.updateStrokeStyle(state, this.applyStroke);\n        }\n    };\n    return CanvasPolygonBuilder;\n}(CanvasBuilder));\nexport default CanvasPolygonBuilder;\n//# sourceMappingURL=PolygonBuilder.js.map","/**\n * @module ol/geom/flat/straightchunk\n */\n/**\n * @param {number} maxAngle Maximum acceptable angle delta between segments.\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {number} end End.\n * @param {number} stride Stride.\n * @return {Array<number>} Start and end of the first suitable chunk of the\n * given `flatCoordinates`.\n */\nexport function matchingChunk(maxAngle, flatCoordinates, offset, end, stride) {\n    var chunkStart = offset;\n    var chunkEnd = offset;\n    var chunkM = 0;\n    var m = 0;\n    var start = offset;\n    var acos, i, m12, m23, x1, y1, x12, y12, x23, y23;\n    for (i = offset; i < end; i += stride) {\n        var x2 = flatCoordinates[i];\n        var y2 = flatCoordinates[i + 1];\n        if (x1 !== undefined) {\n            x23 = x2 - x1;\n            y23 = y2 - y1;\n            m23 = Math.sqrt(x23 * x23 + y23 * y23);\n            if (x12 !== undefined) {\n                m += m12;\n                acos = Math.acos((x12 * x23 + y12 * y23) / (m12 * m23));\n                if (acos > maxAngle) {\n                    if (m > chunkM) {\n                        chunkM = m;\n                        chunkStart = start;\n                        chunkEnd = i;\n                    }\n                    m = 0;\n                    start = i - stride;\n                }\n            }\n            m12 = m23;\n            x12 = x23;\n            y12 = y23;\n        }\n        x1 = x2;\n        y1 = y2;\n    }\n    m += m23;\n    return m > chunkM ? [start, i] : [chunkStart, chunkEnd];\n}\n//# sourceMappingURL=straightchunk.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/render/canvas/TextBuilder\n */\nimport CanvasBuilder from './Builder.js';\nimport CanvasInstruction from './Instruction.js';\nimport GeometryType from '../../geom/GeometryType.js';\nimport TextPlacement from '../../style/TextPlacement.js';\nimport { asColorLike } from '../../colorlike.js';\nimport { defaultFillStyle, defaultFont, defaultLineCap, defaultLineDash, defaultLineDashOffset, defaultLineJoin, defaultLineWidth, defaultMiterLimit, defaultPadding, defaultStrokeStyle, defaultTextAlign, defaultTextBaseline, registerFont, } from '../canvas.js';\nimport { getUid } from '../../util.js';\nimport { intersects } from '../../extent.js';\nimport { matchingChunk } from '../../geom/flat/straightchunk.js';\n/**\n * @const\n * @enum {number}\n */\nexport var TEXT_ALIGN = {\n    'left': 0,\n    'end': 0,\n    'center': 0.5,\n    'right': 1,\n    'start': 1,\n    'top': 0,\n    'middle': 0.5,\n    'hanging': 0.2,\n    'alphabetic': 0.8,\n    'ideographic': 0.8,\n    'bottom': 1,\n};\nvar CanvasTextBuilder = /** @class */ (function (_super) {\n    __extends(CanvasTextBuilder, _super);\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Maximum extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function CanvasTextBuilder(tolerance, maxExtent, resolution, pixelRatio) {\n        var _this = _super.call(this, tolerance, maxExtent, resolution, pixelRatio) || this;\n        /**\n         * @private\n         * @type {Array<HTMLCanvasElement>}\n         */\n        _this.labels_ = null;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.text_ = '';\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textOffsetX_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textOffsetY_ = 0;\n        /**\n         * @private\n         * @type {boolean|undefined}\n         */\n        _this.textRotateWithView_ = undefined;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textRotation_ = 0;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").FillState}\n         */\n        _this.textFillState_ = null;\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").FillState>}\n         */\n        _this.fillStates = {};\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").StrokeState}\n         */\n        _this.textStrokeState_ = null;\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").StrokeState>}\n         */\n        _this.strokeStates = {};\n        /**\n         * @private\n         * @type {import(\"../canvas.js\").TextState}\n         */\n        _this.textState_ = /** @type {import(\"../canvas.js\").TextState} */ ({});\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").TextState>}\n         */\n        _this.textStates = {};\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.textKey_ = '';\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.fillKey_ = '';\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.strokeKey_ = '';\n        /**\n         * Data shared with an image builder for combined decluttering.\n         * @private\n         * @type {import(\"../canvas.js\").DeclutterImageWithText}\n         */\n        _this.declutterImageWithText_ = undefined;\n        return _this;\n    }\n    /**\n     * @return {import(\"../canvas.js\").SerializableInstructions} the serializable instructions.\n     */\n    CanvasTextBuilder.prototype.finish = function () {\n        var instructions = _super.prototype.finish.call(this);\n        instructions.textStates = this.textStates;\n        instructions.fillStates = this.fillStates;\n        instructions.strokeStates = this.strokeStates;\n        return instructions;\n    };\n    /**\n     * @param {import(\"../../geom/SimpleGeometry.js\").default|import(\"../Feature.js\").default} geometry Geometry.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     */\n    CanvasTextBuilder.prototype.drawText = function (geometry, feature) {\n        var fillState = this.textFillState_;\n        var strokeState = this.textStrokeState_;\n        var textState = this.textState_;\n        if (this.text_ === '' || !textState || (!fillState && !strokeState)) {\n            return;\n        }\n        var coordinates = this.coordinates;\n        var begin = coordinates.length;\n        var geometryType = geometry.getType();\n        var flatCoordinates = null;\n        var stride = geometry.getStride();\n        if (textState.placement === TextPlacement.LINE &&\n            (geometryType == GeometryType.LINE_STRING ||\n                geometryType == GeometryType.MULTI_LINE_STRING ||\n                geometryType == GeometryType.POLYGON ||\n                geometryType == GeometryType.MULTI_POLYGON)) {\n            if (!intersects(this.getBufferedMaxExtent(), geometry.getExtent())) {\n                return;\n            }\n            var ends = void 0;\n            flatCoordinates = geometry.getFlatCoordinates();\n            if (geometryType == GeometryType.LINE_STRING) {\n                ends = [flatCoordinates.length];\n            }\n            else if (geometryType == GeometryType.MULTI_LINE_STRING) {\n                ends = /** @type {import(\"../../geom/MultiLineString.js\").default} */ (geometry).getEnds();\n            }\n            else if (geometryType == GeometryType.POLYGON) {\n                ends = /** @type {import(\"../../geom/Polygon.js\").default} */ (geometry)\n                    .getEnds()\n                    .slice(0, 1);\n            }\n            else if (geometryType == GeometryType.MULTI_POLYGON) {\n                var endss = \n                /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry).getEndss();\n                ends = [];\n                for (var i = 0, ii = endss.length; i < ii; ++i) {\n                    ends.push(endss[i][0]);\n                }\n            }\n            this.beginGeometry(geometry, feature);\n            var textAlign = textState.textAlign;\n            var flatOffset = 0;\n            var flatEnd = void 0;\n            for (var o = 0, oo = ends.length; o < oo; ++o) {\n                if (textAlign == undefined) {\n                    var range = matchingChunk(textState.maxAngle, flatCoordinates, flatOffset, ends[o], stride);\n                    flatOffset = range[0];\n                    flatEnd = range[1];\n                }\n                else {\n                    flatEnd = ends[o];\n                }\n                for (var i = flatOffset; i < flatEnd; i += stride) {\n                    coordinates.push(flatCoordinates[i], flatCoordinates[i + 1]);\n                }\n                var end = coordinates.length;\n                flatOffset = ends[o];\n                this.drawChars_(begin, end);\n                begin = end;\n            }\n            this.endGeometry(feature);\n        }\n        else {\n            var geometryWidths = textState.overflow ? null : [];\n            switch (geometryType) {\n                case GeometryType.POINT:\n                case GeometryType.MULTI_POINT:\n                    flatCoordinates =\n                        /** @type {import(\"../../geom/MultiPoint.js\").default} */ (geometry).getFlatCoordinates();\n                    break;\n                case GeometryType.LINE_STRING:\n                    flatCoordinates =\n                        /** @type {import(\"../../geom/LineString.js\").default} */ (geometry).getFlatMidpoint();\n                    break;\n                case GeometryType.CIRCLE:\n                    flatCoordinates =\n                        /** @type {import(\"../../geom/Circle.js\").default} */ (geometry).getCenter();\n                    break;\n                case GeometryType.MULTI_LINE_STRING:\n                    flatCoordinates =\n                        /** @type {import(\"../../geom/MultiLineString.js\").default} */ (geometry).getFlatMidpoints();\n                    stride = 2;\n                    break;\n                case GeometryType.POLYGON:\n                    flatCoordinates =\n                        /** @type {import(\"../../geom/Polygon.js\").default} */ (geometry).getFlatInteriorPoint();\n                    if (!textState.overflow) {\n                        geometryWidths.push(flatCoordinates[2] / this.resolution);\n                    }\n                    stride = 3;\n                    break;\n                case GeometryType.MULTI_POLYGON:\n                    var interiorPoints = \n                    /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry).getFlatInteriorPoints();\n                    flatCoordinates = [];\n                    for (var i = 0, ii = interiorPoints.length; i < ii; i += 3) {\n                        if (!textState.overflow) {\n                            geometryWidths.push(interiorPoints[i + 2] / this.resolution);\n                        }\n                        flatCoordinates.push(interiorPoints[i], interiorPoints[i + 1]);\n                    }\n                    if (flatCoordinates.length === 0) {\n                        return;\n                    }\n                    stride = 2;\n                    break;\n                default:\n            }\n            var end = this.appendFlatPointCoordinates(flatCoordinates, stride);\n            if (end === begin) {\n                return;\n            }\n            if (geometryWidths &&\n                (end - begin) / 2 !== flatCoordinates.length / stride) {\n                var beg_1 = begin / 2;\n                geometryWidths = geometryWidths.filter(function (w, i) {\n                    var keep = coordinates[(beg_1 + i) * 2] === flatCoordinates[i * stride] &&\n                        coordinates[(beg_1 + i) * 2 + 1] === flatCoordinates[i * stride + 1];\n                    if (!keep) {\n                        --beg_1;\n                    }\n                    return keep;\n                });\n            }\n            this.saveTextStates_();\n            if (textState.backgroundFill || textState.backgroundStroke) {\n                this.setFillStrokeStyle(textState.backgroundFill, textState.backgroundStroke);\n                if (textState.backgroundFill) {\n                    this.updateFillStyle(this.state, this.createFill);\n                    this.hitDetectionInstructions.push(this.createFill(this.state));\n                }\n                if (textState.backgroundStroke) {\n                    this.updateStrokeStyle(this.state, this.applyStroke);\n                    this.hitDetectionInstructions.push(this.createStroke(this.state));\n                }\n            }\n            this.beginGeometry(geometry, feature);\n            // adjust padding for negative scale\n            var padding = textState.padding;\n            if (padding != defaultPadding &&\n                (textState.scale[0] < 0 || textState.scale[1] < 0)) {\n                var p0 = textState.padding[0];\n                var p1 = textState.padding[1];\n                var p2 = textState.padding[2];\n                var p3 = textState.padding[3];\n                if (textState.scale[0] < 0) {\n                    p1 = -p1;\n                    p3 = -p3;\n                }\n                if (textState.scale[1] < 0) {\n                    p0 = -p0;\n                    p2 = -p2;\n                }\n                padding = [p0, p1, p2, p3];\n            }\n            // The image is unknown at this stage so we pass null; it will be computed at render time.\n            // For clarity, we pass NaN for offsetX, offsetY, width and height, which will be computed at\n            // render time.\n            var pixelRatio_1 = this.pixelRatio;\n            this.instructions.push([\n                CanvasInstruction.DRAW_IMAGE,\n                begin,\n                end,\n                null,\n                NaN,\n                NaN,\n                NaN,\n                1,\n                0,\n                0,\n                this.textRotateWithView_,\n                this.textRotation_,\n                [1, 1],\n                NaN,\n                this.declutterImageWithText_,\n                padding == defaultPadding\n                    ? defaultPadding\n                    : padding.map(function (p) {\n                        return p * pixelRatio_1;\n                    }),\n                !!textState.backgroundFill,\n                !!textState.backgroundStroke,\n                this.text_,\n                this.textKey_,\n                this.strokeKey_,\n                this.fillKey_,\n                this.textOffsetX_,\n                this.textOffsetY_,\n                geometryWidths,\n            ]);\n            var scale = 1 / pixelRatio_1;\n            this.hitDetectionInstructions.push([\n                CanvasInstruction.DRAW_IMAGE,\n                begin,\n                end,\n                null,\n                NaN,\n                NaN,\n                NaN,\n                1,\n                0,\n                0,\n                this.textRotateWithView_,\n                this.textRotation_,\n                [scale, scale],\n                NaN,\n                this.declutterImageWithText_,\n                padding,\n                !!textState.backgroundFill,\n                !!textState.backgroundStroke,\n                this.text_,\n                this.textKey_,\n                this.strokeKey_,\n                this.fillKey_,\n                this.textOffsetX_,\n                this.textOffsetY_,\n                geometryWidths,\n            ]);\n            this.endGeometry(feature);\n        }\n    };\n    /**\n     * @private\n     */\n    CanvasTextBuilder.prototype.saveTextStates_ = function () {\n        var strokeState = this.textStrokeState_;\n        var textState = this.textState_;\n        var fillState = this.textFillState_;\n        var strokeKey = this.strokeKey_;\n        if (strokeState) {\n            if (!(strokeKey in this.strokeStates)) {\n                this.strokeStates[strokeKey] = {\n                    strokeStyle: strokeState.strokeStyle,\n                    lineCap: strokeState.lineCap,\n                    lineDashOffset: strokeState.lineDashOffset,\n                    lineWidth: strokeState.lineWidth,\n                    lineJoin: strokeState.lineJoin,\n                    miterLimit: strokeState.miterLimit,\n                    lineDash: strokeState.lineDash,\n                };\n            }\n        }\n        var textKey = this.textKey_;\n        if (!(textKey in this.textStates)) {\n            this.textStates[textKey] = {\n                font: textState.font,\n                textAlign: textState.textAlign || defaultTextAlign,\n                textBaseline: textState.textBaseline || defaultTextBaseline,\n                scale: textState.scale,\n            };\n        }\n        var fillKey = this.fillKey_;\n        if (fillState) {\n            if (!(fillKey in this.fillStates)) {\n                this.fillStates[fillKey] = {\n                    fillStyle: fillState.fillStyle,\n                };\n            }\n        }\n    };\n    /**\n     * @private\n     * @param {number} begin Begin.\n     * @param {number} end End.\n     */\n    CanvasTextBuilder.prototype.drawChars_ = function (begin, end) {\n        var strokeState = this.textStrokeState_;\n        var textState = this.textState_;\n        var strokeKey = this.strokeKey_;\n        var textKey = this.textKey_;\n        var fillKey = this.fillKey_;\n        this.saveTextStates_();\n        var pixelRatio = this.pixelRatio;\n        var baseline = TEXT_ALIGN[textState.textBaseline];\n        var offsetY = this.textOffsetY_ * pixelRatio;\n        var text = this.text_;\n        var strokeWidth = strokeState\n            ? (strokeState.lineWidth * Math.abs(textState.scale[0])) / 2\n            : 0;\n        this.instructions.push([\n            CanvasInstruction.DRAW_CHARS,\n            begin,\n            end,\n            baseline,\n            textState.overflow,\n            fillKey,\n            textState.maxAngle,\n            pixelRatio,\n            offsetY,\n            strokeKey,\n            strokeWidth * pixelRatio,\n            text,\n            textKey,\n            1,\n        ]);\n        this.hitDetectionInstructions.push([\n            CanvasInstruction.DRAW_CHARS,\n            begin,\n            end,\n            baseline,\n            textState.overflow,\n            fillKey,\n            textState.maxAngle,\n            1,\n            offsetY,\n            strokeKey,\n            strokeWidth,\n            text,\n            textKey,\n            1 / pixelRatio,\n        ]);\n    };\n    /**\n     * @param {import(\"../../style/Text.js\").default} textStyle Text style.\n     * @param {Object} [opt_sharedData] Shared data.\n     */\n    CanvasTextBuilder.prototype.setTextStyle = function (textStyle, opt_sharedData) {\n        var textState, fillState, strokeState;\n        if (!textStyle) {\n            this.text_ = '';\n        }\n        else {\n            var textFillStyle = textStyle.getFill();\n            if (!textFillStyle) {\n                fillState = null;\n                this.textFillState_ = fillState;\n            }\n            else {\n                fillState = this.textFillState_;\n                if (!fillState) {\n                    fillState = /** @type {import(\"../canvas.js\").FillState} */ ({});\n                    this.textFillState_ = fillState;\n                }\n                fillState.fillStyle = asColorLike(textFillStyle.getColor() || defaultFillStyle);\n            }\n            var textStrokeStyle = textStyle.getStroke();\n            if (!textStrokeStyle) {\n                strokeState = null;\n                this.textStrokeState_ = strokeState;\n            }\n            else {\n                strokeState = this.textStrokeState_;\n                if (!strokeState) {\n                    strokeState = /** @type {import(\"../canvas.js\").StrokeState} */ ({});\n                    this.textStrokeState_ = strokeState;\n                }\n                var lineDash = textStrokeStyle.getLineDash();\n                var lineDashOffset = textStrokeStyle.getLineDashOffset();\n                var lineWidth = textStrokeStyle.getWidth();\n                var miterLimit = textStrokeStyle.getMiterLimit();\n                strokeState.lineCap = textStrokeStyle.getLineCap() || defaultLineCap;\n                strokeState.lineDash = lineDash ? lineDash.slice() : defaultLineDash;\n                strokeState.lineDashOffset =\n                    lineDashOffset === undefined ? defaultLineDashOffset : lineDashOffset;\n                strokeState.lineJoin = textStrokeStyle.getLineJoin() || defaultLineJoin;\n                strokeState.lineWidth =\n                    lineWidth === undefined ? defaultLineWidth : lineWidth;\n                strokeState.miterLimit =\n                    miterLimit === undefined ? defaultMiterLimit : miterLimit;\n                strokeState.strokeStyle = asColorLike(textStrokeStyle.getColor() || defaultStrokeStyle);\n            }\n            textState = this.textState_;\n            var font = textStyle.getFont() || defaultFont;\n            registerFont(font);\n            var textScale = textStyle.getScaleArray();\n            textState.overflow = textStyle.getOverflow();\n            textState.font = font;\n            textState.maxAngle = textStyle.getMaxAngle();\n            textState.placement = textStyle.getPlacement();\n            textState.textAlign = textStyle.getTextAlign();\n            textState.textBaseline =\n                textStyle.getTextBaseline() || defaultTextBaseline;\n            textState.backgroundFill = textStyle.getBackgroundFill();\n            textState.backgroundStroke = textStyle.getBackgroundStroke();\n            textState.padding = textStyle.getPadding() || defaultPadding;\n            textState.scale = textScale === undefined ? [1, 1] : textScale;\n            var textOffsetX = textStyle.getOffsetX();\n            var textOffsetY = textStyle.getOffsetY();\n            var textRotateWithView = textStyle.getRotateWithView();\n            var textRotation = textStyle.getRotation();\n            this.text_ = textStyle.getText() || '';\n            this.textOffsetX_ = textOffsetX === undefined ? 0 : textOffsetX;\n            this.textOffsetY_ = textOffsetY === undefined ? 0 : textOffsetY;\n            this.textRotateWithView_ =\n                textRotateWithView === undefined ? false : textRotateWithView;\n            this.textRotation_ = textRotation === undefined ? 0 : textRotation;\n            this.strokeKey_ = strokeState\n                ? (typeof strokeState.strokeStyle == 'string'\n                    ? strokeState.strokeStyle\n                    : getUid(strokeState.strokeStyle)) +\n                    strokeState.lineCap +\n                    strokeState.lineDashOffset +\n                    '|' +\n                    strokeState.lineWidth +\n                    strokeState.lineJoin +\n                    strokeState.miterLimit +\n                    '[' +\n                    strokeState.lineDash.join() +\n                    ']'\n                : '';\n            this.textKey_ =\n                textState.font +\n                    textState.scale +\n                    (textState.textAlign || '?') +\n                    (textState.textBaseline || '?');\n            this.fillKey_ = fillState\n                ? typeof fillState.fillStyle == 'string'\n                    ? fillState.fillStyle\n                    : '|' + getUid(fillState.fillStyle)\n                : '';\n        }\n        this.declutterImageWithText_ = opt_sharedData;\n    };\n    return CanvasTextBuilder;\n}(CanvasBuilder));\nexport default CanvasTextBuilder;\n//# sourceMappingURL=TextBuilder.js.map","/**\n * @module ol/render/canvas/BuilderGroup\n */\nimport Builder from './Builder.js';\nimport ImageBuilder from './ImageBuilder.js';\nimport LineStringBuilder from './LineStringBuilder.js';\nimport PolygonBuilder from './PolygonBuilder.js';\nimport TextBuilder from './TextBuilder.js';\n/**\n * @type {Object<import(\"./BuilderType\").default, typeof Builder>}\n */\nvar BATCH_CONSTRUCTORS = {\n    'Circle': PolygonBuilder,\n    'Default': Builder,\n    'Image': ImageBuilder,\n    'LineString': LineStringBuilder,\n    'Polygon': PolygonBuilder,\n    'Text': TextBuilder,\n};\nvar BuilderGroup = /** @class */ (function () {\n    /**\n     * @param {number} tolerance Tolerance.\n     * @param {import(\"../../extent.js\").Extent} maxExtent Max extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     */\n    function BuilderGroup(tolerance, maxExtent, resolution, pixelRatio) {\n        /**\n         * @private\n         * @type {number}\n         */\n        this.tolerance_ = tolerance;\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        this.maxExtent_ = maxExtent;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.pixelRatio_ = pixelRatio;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.resolution_ = resolution;\n        /**\n         * @private\n         * @type {!Object<string, !Object<import(\"./BuilderType\").default, Builder>>}\n         */\n        this.buildersByZIndex_ = {};\n    }\n    /**\n     * @return {!Object<string, !Object<import(\"./BuilderType\").default, import(\"./Builder.js\").SerializableInstructions>>} The serializable instructions\n     */\n    BuilderGroup.prototype.finish = function () {\n        var builderInstructions = {};\n        for (var zKey in this.buildersByZIndex_) {\n            builderInstructions[zKey] = builderInstructions[zKey] || {};\n            var builders = this.buildersByZIndex_[zKey];\n            for (var builderKey in builders) {\n                var builderInstruction = builders[builderKey].finish();\n                builderInstructions[zKey][builderKey] = builderInstruction;\n            }\n        }\n        return builderInstructions;\n    };\n    /**\n     * @param {number|undefined} zIndex Z index.\n     * @param {import(\"./BuilderType.js\").default} builderType Replay type.\n     * @return {import(\"../VectorContext.js\").default} Replay.\n     */\n    BuilderGroup.prototype.getBuilder = function (zIndex, builderType) {\n        var zIndexKey = zIndex !== undefined ? zIndex.toString() : '0';\n        var replays = this.buildersByZIndex_[zIndexKey];\n        if (replays === undefined) {\n            replays = {};\n            this.buildersByZIndex_[zIndexKey] = replays;\n        }\n        var replay = replays[builderType];\n        if (replay === undefined) {\n            var Constructor = BATCH_CONSTRUCTORS[builderType];\n            replay = new Constructor(this.tolerance_, this.maxExtent_, this.resolution_, this.pixelRatio_);\n            replays[builderType] = replay;\n        }\n        return replay;\n    };\n    return BuilderGroup;\n}());\nexport default BuilderGroup;\n//# sourceMappingURL=BuilderGroup.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/Layer\n */\nimport EventType from '../events/EventType.js';\nimport ImageState from '../ImageState.js';\nimport Observable from '../Observable.js';\nimport SourceState from '../source/State.js';\nimport { abstract } from '../util.js';\n/**\n * @template {import(\"../layer/Layer.js\").default} LayerType\n */\nvar LayerRenderer = /** @class */ (function (_super) {\n    __extends(LayerRenderer, _super);\n    /**\n     * @param {LayerType} layer Layer.\n     */\n    function LayerRenderer(layer) {\n        var _this = _super.call(this) || this;\n        /** @private */\n        _this.boundHandleImageChange_ = _this.handleImageChange_.bind(_this);\n        /**\n         * @protected\n         * @type {LayerType}\n         */\n        _this.layer_ = layer;\n        /**\n         * @type {import(\"../render/canvas/ExecutorGroup\").default}\n         */\n        _this.declutterExecutorGroup = null;\n        return _this;\n    }\n    /**\n     * Asynchronous layer level hit detection.\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../Feature\").default>>} Promise that resolves with\n     * an array of features.\n     */\n    LayerRenderer.prototype.getFeatures = function (pixel) {\n        return abstract();\n    };\n    /**\n     * Determine whether render should be called.\n     * @abstract\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    LayerRenderer.prototype.prepareFrame = function (frameState) {\n        return abstract();\n    };\n    /**\n     * Render the layer.\n     * @abstract\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target that may be used to render content to.\n     * @return {HTMLElement} The rendered element.\n     */\n    LayerRenderer.prototype.renderFrame = function (frameState, target) {\n        return abstract();\n    };\n    /**\n     * @param {Object<number, Object<string, import(\"../Tile.js\").default>>} tiles Lookup of loaded tiles by zoom level.\n     * @param {number} zoom Zoom level.\n     * @param {import(\"../Tile.js\").default} tile Tile.\n     * @return {boolean|void} If `false`, the tile will not be considered loaded.\n     */\n    LayerRenderer.prototype.loadedTileCallback = function (tiles, zoom, tile) {\n        if (!tiles[zoom]) {\n            tiles[zoom] = {};\n        }\n        tiles[zoom][tile.tileCoord.toString()] = tile;\n        return undefined;\n    };\n    /**\n     * Create a function that adds loaded tiles to the tile lookup.\n     * @param {import(\"../source/Tile.js\").default} source Tile source.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection of the tiles.\n     * @param {Object<number, Object<string, import(\"../Tile.js\").default>>} tiles Lookup of loaded tiles by zoom level.\n     * @return {function(number, import(\"../TileRange.js\").default):boolean} A function that can be\n     *     called with a zoom level and a tile range to add loaded tiles to the lookup.\n     * @protected\n     */\n    LayerRenderer.prototype.createLoadedTileFinder = function (source, projection, tiles) {\n        return (\n        /**\n         * @param {number} zoom Zoom level.\n         * @param {import(\"../TileRange.js\").default} tileRange Tile range.\n         * @return {boolean} The tile range is fully loaded.\n         * @this {LayerRenderer}\n         */\n        function (zoom, tileRange) {\n            var callback = this.loadedTileCallback.bind(this, tiles, zoom);\n            return source.forEachLoadedTile(projection, zoom, tileRange, callback);\n        }.bind(this));\n    };\n    /**\n     * @abstract\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {import(\"./vector.js\").FeatureCallback<T>} callback Feature callback.\n     * @param {Array<import(\"./Map.js\").HitMatch<T>>} matches The hit detected matches with tolerance.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    LayerRenderer.prototype.forEachFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, callback, matches) {\n        return undefined;\n    };\n    /**\n     * @abstract\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @return {Uint8ClampedArray|Uint8Array} The result.  If there is no data at the pixel\n     *    location, null will be returned.  If there is data, but pixel values cannot be\n     *    returned, and empty array will be returned.\n     */\n    LayerRenderer.prototype.getDataAtPixel = function (pixel, frameState, hitTolerance) {\n        return null;\n    };\n    /**\n     * @return {LayerType} Layer.\n     */\n    LayerRenderer.prototype.getLayer = function () {\n        return this.layer_;\n    };\n    /**\n     * Perform action necessary to get the layer rendered after new fonts have loaded\n     * @abstract\n     */\n    LayerRenderer.prototype.handleFontsChanged = function () { };\n    /**\n     * Handle changes in image state.\n     * @param {import(\"../events/Event.js\").default} event Image change event.\n     * @private\n     */\n    LayerRenderer.prototype.handleImageChange_ = function (event) {\n        var image = /** @type {import(\"../Image.js\").default} */ (event.target);\n        if (image.getState() === ImageState.LOADED) {\n            this.renderIfReadyAndVisible();\n        }\n    };\n    /**\n     * Load the image if not already loaded, and register the image change\n     * listener if needed.\n     * @param {import(\"../ImageBase.js\").default} image Image.\n     * @return {boolean} `true` if the image is already loaded, `false` otherwise.\n     * @protected\n     */\n    LayerRenderer.prototype.loadImage = function (image) {\n        var imageState = image.getState();\n        if (imageState != ImageState.LOADED && imageState != ImageState.ERROR) {\n            image.addEventListener(EventType.CHANGE, this.boundHandleImageChange_);\n        }\n        if (imageState == ImageState.IDLE) {\n            image.load();\n            imageState = image.getState();\n        }\n        return imageState == ImageState.LOADED;\n    };\n    /**\n     * @protected\n     */\n    LayerRenderer.prototype.renderIfReadyAndVisible = function () {\n        var layer = this.getLayer();\n        if (layer.getVisible() && layer.getSourceState() == SourceState.READY) {\n            layer.changed();\n        }\n    };\n    return LayerRenderer;\n}(Observable));\nexport default LayerRenderer;\n//# sourceMappingURL=Layer.js.map","/**\n * @module ol/render/Event\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport Event from '../events/Event.js';\nvar RenderEvent = /** @class */ (function (_super) {\n    __extends(RenderEvent, _super);\n    /**\n     * @param {import(\"./EventType.js\").default} type Type.\n     * @param {import(\"../transform.js\").Transform} [opt_inversePixelTransform] Transform for\n     *     CSS pixels to rendered pixels.\n     * @param {import(\"../PluggableMap.js\").FrameState} [opt_frameState] Frame state.\n     * @param {?(CanvasRenderingContext2D|WebGLRenderingContext)} [opt_context] Context.\n     */\n    function RenderEvent(type, opt_inversePixelTransform, opt_frameState, opt_context) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * Transform from CSS pixels (relative to the top-left corner of the map viewport)\n         * to rendered pixels on this event's `context`. Only available when a Canvas renderer is used, null otherwise.\n         * @type {import(\"../transform.js\").Transform|undefined}\n         * @api\n         */\n        _this.inversePixelTransform = opt_inversePixelTransform;\n        /**\n         * An object representing the current render frame state.\n         * @type {import(\"../PluggableMap.js\").FrameState|undefined}\n         * @api\n         */\n        _this.frameState = opt_frameState;\n        /**\n         * Canvas context. Not available when the event is dispatched by the map. For Canvas 2D layers,\n         * the context will be the 2D rendering context.  For WebGL layers, the context will be the WebGL\n         * context.\n         * @type {CanvasRenderingContext2D|WebGLRenderingContext|undefined}\n         * @api\n         */\n        _this.context = opt_context;\n        return _this;\n    }\n    return RenderEvent;\n}(Event));\nexport default RenderEvent;\n//# sourceMappingURL=Event.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/canvas/Layer\n */\nimport LayerRenderer from '../Layer.js';\nimport RenderEvent from '../../render/Event.js';\nimport RenderEventType from '../../render/EventType.js';\nimport { apply as applyTransform, compose as composeTransform, create as createTransform, } from '../../transform.js';\nimport { asArray } from '../../color.js';\nimport { containsCoordinate, getBottomLeft, getBottomRight, getTopLeft, getTopRight, } from '../../extent.js';\nimport { createCanvasContext2D } from '../../dom.js';\nimport { equals } from '../../array.js';\n/**\n * @abstract\n * @template {import(\"../../layer/Layer.js\").default} LayerType\n * @extends {LayerRenderer<LayerType>}\n */\nvar CanvasLayerRenderer = /** @class */ (function (_super) {\n    __extends(CanvasLayerRenderer, _super);\n    /**\n     * @param {LayerType} layer Layer.\n     */\n    function CanvasLayerRenderer(layer) {\n        var _this = _super.call(this, layer) || this;\n        /**\n         * @protected\n         * @type {HTMLElement}\n         */\n        _this.container = null;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.renderedResolution;\n        /**\n         * A temporary transform.  The values in this transform should only be used in a\n         * function that sets the values.\n         * @protected\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.tempTransform = createTransform();\n        /**\n         * The transform for rendered pixels to viewport CSS pixels.  This transform must\n         * be set when rendering a frame and may be used by other functions after rendering.\n         * @protected\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.pixelTransform = createTransform();\n        /**\n         * The transform for viewport CSS pixels to rendered pixels.  This transform must\n         * be set when rendering a frame and may be used by other functions after rendering.\n         * @protected\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.inversePixelTransform = createTransform();\n        /**\n         * @type {CanvasRenderingContext2D}\n         */\n        _this.context = null;\n        /**\n         * @type {boolean}\n         */\n        _this.containerReused = false;\n        /**\n         * @private\n         * @type {CanvasRenderingContext2D}\n         */\n        _this.pixelContext_ = null;\n        return _this;\n    }\n    /**\n     * @param {import('../../PluggableMap.js').FrameState} frameState Frame state.\n     * @return {string} Background color.\n     */\n    CanvasLayerRenderer.prototype.getBackground = function (frameState) {\n        var layer = this.getLayer();\n        var background = layer.getBackground();\n        if (typeof background === 'function') {\n            background = background(frameState.viewState.resolution);\n        }\n        return background || undefined;\n    };\n    /**\n     * Get a rendering container from an existing target, if compatible.\n     * @param {HTMLElement} target Potential render target.\n     * @param {string} transform CSS Transform.\n     * @param {number} opacity Opacity.\n     * @param {string} [opt_backgroundColor] Background color.\n     */\n    CanvasLayerRenderer.prototype.useContainer = function (target, transform, opacity, opt_backgroundColor) {\n        var layerClassName = this.getLayer().getClassName();\n        var container, context;\n        if (target &&\n            target.className === layerClassName &&\n            target.style.opacity === '' &&\n            opacity === 1 &&\n            (!opt_backgroundColor ||\n                equals(asArray(target.style.backgroundColor), asArray(opt_backgroundColor)))) {\n            var canvas = target.firstElementChild;\n            if (canvas instanceof HTMLCanvasElement) {\n                context = canvas.getContext('2d');\n            }\n        }\n        if (context && context.canvas.style.transform === transform) {\n            // Container of the previous layer renderer can be used.\n            this.container = target;\n            this.context = context;\n            this.containerReused = true;\n        }\n        else if (this.containerReused) {\n            // Previously reused container cannot be used any more.\n            this.container = null;\n            this.context = null;\n            this.containerReused = false;\n        }\n        if (!this.container) {\n            container = document.createElement('div');\n            container.className = layerClassName;\n            var style = container.style;\n            style.position = 'absolute';\n            style.width = '100%';\n            style.height = '100%';\n            if (opt_backgroundColor) {\n                style.backgroundColor = opt_backgroundColor;\n            }\n            context = createCanvasContext2D();\n            var canvas = context.canvas;\n            container.appendChild(canvas);\n            style = canvas.style;\n            style.position = 'absolute';\n            style.left = '0';\n            style.transformOrigin = 'top left';\n            this.container = container;\n            this.context = context;\n        }\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"../../extent.js\").Extent} extent Clip extent.\n     * @protected\n     */\n    CanvasLayerRenderer.prototype.clipUnrotated = function (context, frameState, extent) {\n        var topLeft = getTopLeft(extent);\n        var topRight = getTopRight(extent);\n        var bottomRight = getBottomRight(extent);\n        var bottomLeft = getBottomLeft(extent);\n        applyTransform(frameState.coordinateToPixelTransform, topLeft);\n        applyTransform(frameState.coordinateToPixelTransform, topRight);\n        applyTransform(frameState.coordinateToPixelTransform, bottomRight);\n        applyTransform(frameState.coordinateToPixelTransform, bottomLeft);\n        var inverted = this.inversePixelTransform;\n        applyTransform(inverted, topLeft);\n        applyTransform(inverted, topRight);\n        applyTransform(inverted, bottomRight);\n        applyTransform(inverted, bottomLeft);\n        context.save();\n        context.beginPath();\n        context.moveTo(Math.round(topLeft[0]), Math.round(topLeft[1]));\n        context.lineTo(Math.round(topRight[0]), Math.round(topRight[1]));\n        context.lineTo(Math.round(bottomRight[0]), Math.round(bottomRight[1]));\n        context.lineTo(Math.round(bottomLeft[0]), Math.round(bottomLeft[1]));\n        context.clip();\n    };\n    /**\n     * @param {import(\"../../render/EventType.js\").default} type Event type.\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @private\n     */\n    CanvasLayerRenderer.prototype.dispatchRenderEvent_ = function (type, context, frameState) {\n        var layer = this.getLayer();\n        if (layer.hasListener(type)) {\n            var event_1 = new RenderEvent(type, this.inversePixelTransform, frameState, context);\n            layer.dispatchEvent(event_1);\n        }\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    CanvasLayerRenderer.prototype.preRender = function (context, frameState) {\n        this.dispatchRenderEvent_(RenderEventType.PRERENDER, context, frameState);\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    CanvasLayerRenderer.prototype.postRender = function (context, frameState) {\n        this.dispatchRenderEvent_(RenderEventType.POSTRENDER, context, frameState);\n    };\n    /**\n     * Creates a transform for rendering to an element that will be rotated after rendering.\n     * @param {import(\"../../coordinate.js\").Coordinate} center Center.\n     * @param {number} resolution Resolution.\n     * @param {number} rotation Rotation.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {number} width Width of the rendered element (in pixels).\n     * @param {number} height Height of the rendered element (in pixels).\n     * @param {number} offsetX Offset on the x-axis in view coordinates.\n     * @protected\n     * @return {!import(\"../../transform.js\").Transform} Transform.\n     */\n    CanvasLayerRenderer.prototype.getRenderTransform = function (center, resolution, rotation, pixelRatio, width, height, offsetX) {\n        var dx1 = width / 2;\n        var dy1 = height / 2;\n        var sx = pixelRatio / resolution;\n        var sy = -sx;\n        var dx2 = -center[0] + offsetX;\n        var dy2 = -center[1];\n        return composeTransform(this.tempTransform, dx1, dy1, sx, sy, -rotation, dx2, dy2);\n    };\n    /**\n     * @param {import(\"../../pixel.js\").Pixel} pixel Pixel.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @return {Uint8ClampedArray|Uint8Array} The result.  If there is no data at the pixel\n     *    location, null will be returned.  If there is data, but pixel values cannot be\n     *    returned, and empty array will be returned.\n     */\n    CanvasLayerRenderer.prototype.getDataAtPixel = function (pixel, frameState, hitTolerance) {\n        var renderPixel = applyTransform(this.inversePixelTransform, pixel.slice());\n        var context = this.context;\n        var layer = this.getLayer();\n        var layerExtent = layer.getExtent();\n        if (layerExtent) {\n            var renderCoordinate = applyTransform(frameState.pixelToCoordinateTransform, pixel.slice());\n            /** get only data inside of the layer extent */\n            if (!containsCoordinate(layerExtent, renderCoordinate)) {\n                return null;\n            }\n        }\n        var x = Math.round(renderPixel[0]);\n        var y = Math.round(renderPixel[1]);\n        var pixelContext = this.pixelContext_;\n        if (!pixelContext) {\n            var pixelCanvas = document.createElement('canvas');\n            pixelCanvas.width = 1;\n            pixelCanvas.height = 1;\n            pixelContext = pixelCanvas.getContext('2d');\n            this.pixelContext_ = pixelContext;\n        }\n        pixelContext.clearRect(0, 0, 1, 1);\n        var data;\n        try {\n            pixelContext.drawImage(context.canvas, x, y, 1, 1, 0, 0, 1, 1);\n            data = pixelContext.getImageData(0, 0, 1, 1).data;\n        }\n        catch (err) {\n            if (err.name === 'SecurityError') {\n                // tainted canvas, we assume there is data at the given pixel (although there might not be)\n                this.pixelContext_ = null;\n                return new Uint8Array();\n            }\n            return data;\n        }\n        if (data[3] === 0) {\n            return null;\n        }\n        return data;\n    };\n    return CanvasLayerRenderer;\n}(LayerRenderer));\nexport default CanvasLayerRenderer;\n//# sourceMappingURL=Layer.js.map","/**\n * @module ol/render/canvas/BuilderType\n */\n/**\n * @enum {string}\n */\nexport default {\n    CIRCLE: 'Circle',\n    DEFAULT: 'Default',\n    IMAGE: 'Image',\n    LINE_STRING: 'LineString',\n    POLYGON: 'Polygon',\n    TEXT: 'Text',\n};\n//# sourceMappingURL=BuilderType.js.map","/**\n * @module ol/geom/flat/textpath\n */\nimport { lerp } from '../../math.js';\nimport { rotate } from './transform.js';\n/**\n * @param {Array<number>} flatCoordinates Path to put text on.\n * @param {number} offset Start offset of the `flatCoordinates`.\n * @param {number} end End offset of the `flatCoordinates`.\n * @param {number} stride Stride.\n * @param {string} text Text to place on the path.\n * @param {number} startM m along the path where the text starts.\n * @param {number} maxAngle Max angle between adjacent chars in radians.\n * @param {number} scale The product of the text scale and the device pixel ratio.\n * @param {function(string, string, Object<string, number>):number} measureAndCacheTextWidth Measure and cache text width.\n * @param {string} font The font.\n * @param {Object<string, number>} cache A cache of measured widths.\n * @param {number} rotation Rotation to apply to the flatCoordinates to determine whether text needs to be reversed.\n * @return {Array<Array<*>>} The result array (or null if `maxAngle` was\n * exceeded). Entries of the array are x, y, anchorX, angle, chunk.\n */\nexport function drawTextOnPath(flatCoordinates, offset, end, stride, text, startM, maxAngle, scale, measureAndCacheTextWidth, font, cache, rotation) {\n    var x2 = flatCoordinates[offset];\n    var y2 = flatCoordinates[offset + 1];\n    var x1 = 0;\n    var y1 = 0;\n    var segmentLength = 0;\n    var segmentM = 0;\n    function advance() {\n        x1 = x2;\n        y1 = y2;\n        offset += stride;\n        x2 = flatCoordinates[offset];\n        y2 = flatCoordinates[offset + 1];\n        segmentM += segmentLength;\n        segmentLength = Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1));\n    }\n    do {\n        advance();\n    } while (offset < end - stride && segmentM + segmentLength < startM);\n    var interpolate = segmentLength === 0 ? 0 : (startM - segmentM) / segmentLength;\n    var beginX = lerp(x1, x2, interpolate);\n    var beginY = lerp(y1, y2, interpolate);\n    var startOffset = offset - stride;\n    var startLength = segmentM;\n    var endM = startM + scale * measureAndCacheTextWidth(font, text, cache);\n    while (offset < end - stride && segmentM + segmentLength < endM) {\n        advance();\n    }\n    interpolate = segmentLength === 0 ? 0 : (endM - segmentM) / segmentLength;\n    var endX = lerp(x1, x2, interpolate);\n    var endY = lerp(y1, y2, interpolate);\n    // Keep text upright\n    var reverse;\n    if (rotation) {\n        var flat = [beginX, beginY, endX, endY];\n        rotate(flat, 0, 4, 2, rotation, flat, flat);\n        reverse = flat[0] > flat[2];\n    }\n    else {\n        reverse = beginX > endX;\n    }\n    var PI = Math.PI;\n    var result = [];\n    var singleSegment = startOffset + stride === offset;\n    offset = startOffset;\n    segmentLength = 0;\n    segmentM = startLength;\n    x2 = flatCoordinates[offset];\n    y2 = flatCoordinates[offset + 1];\n    var previousAngle;\n    // All on the same segment\n    if (singleSegment) {\n        advance();\n        previousAngle = Math.atan2(y2 - y1, x2 - x1);\n        if (reverse) {\n            previousAngle += previousAngle > 0 ? -PI : PI;\n        }\n        var x = (endX + beginX) / 2;\n        var y = (endY + beginY) / 2;\n        result[0] = [x, y, (endM - startM) / 2, previousAngle, text];\n        return result;\n    }\n    for (var i = 0, ii = text.length; i < ii;) {\n        advance();\n        var angle = Math.atan2(y2 - y1, x2 - x1);\n        if (reverse) {\n            angle += angle > 0 ? -PI : PI;\n        }\n        if (previousAngle !== undefined) {\n            var delta = angle - previousAngle;\n            delta += delta > PI ? -2 * PI : delta < -PI ? 2 * PI : 0;\n            if (Math.abs(delta) > maxAngle) {\n                return null;\n            }\n        }\n        previousAngle = angle;\n        var iStart = i;\n        var charLength = 0;\n        for (; i < ii; ++i) {\n            var index = reverse ? ii - i - 1 : i;\n            var len = scale * measureAndCacheTextWidth(font, text[index], cache);\n            if (offset + stride < end &&\n                segmentM + segmentLength < startM + charLength + len / 2) {\n                break;\n            }\n            charLength += len;\n        }\n        if (i === iStart) {\n            continue;\n        }\n        var chars = reverse\n            ? text.substring(ii - iStart, ii - i)\n            : text.substring(iStart, i);\n        interpolate =\n            segmentLength === 0\n                ? 0\n                : (startM + charLength / 2 - segmentM) / segmentLength;\n        var x = lerp(x1, x2, interpolate);\n        var y = lerp(y1, y2, interpolate);\n        result.push([x, y, charLength / 2, angle, chars]);\n        startM += charLength;\n    }\n    return result;\n}\n//# sourceMappingURL=textpath.js.map","/**\n * @module ol/render/canvas/Executor\n */\nimport CanvasInstruction from './Instruction.js';\nimport { TEXT_ALIGN } from './TextBuilder.js';\nimport { WORKER_OFFSCREEN_CANVAS } from '../../has.js';\nimport { apply as applyTransform, compose as composeTransform, create as createTransform, setFromArray as transformSetFromArray, } from '../../transform.js';\nimport { createEmpty, createOrUpdate, intersects } from '../../extent.js';\nimport { defaultPadding, defaultTextBaseline, drawImageOrLabel, } from '../canvas.js';\nimport { defaultTextAlign, measureAndCacheTextWidth, measureTextHeight, measureTextWidths, } from '../canvas.js';\nimport { drawTextOnPath } from '../../geom/flat/textpath.js';\nimport { equals } from '../../array.js';\nimport { lineStringLength } from '../../geom/flat/length.js';\nimport { transform2D } from '../../geom/flat/transform.js';\n/**\n * @typedef {Object} BBox\n * @property {number} minX Minimal x.\n * @property {number} minY Minimal y.\n * @property {number} maxX Maximal x.\n * @property {number} maxY Maximal y\n * @property {*} value Value.\n */\n/**\n * @typedef {Object} ImageOrLabelDimensions\n * @property {number} drawImageX DrawImageX.\n * @property {number} drawImageY DrawImageY.\n * @property {number} drawImageW DrawImageW.\n * @property {number} drawImageH DrawImageH.\n * @property {number} originX OriginX.\n * @property {number} originY OriginY.\n * @property {Array<number>} scale Scale.\n * @property {BBox} declutterBox DeclutterBox.\n * @property {import(\"../../transform.js\").Transform} canvasTransform CanvasTransform.\n */\n/**\n * @typedef {{0: CanvasRenderingContext2D, 1: number, 2: import(\"../canvas.js\").Label|HTMLImageElement|HTMLCanvasElement|HTMLVideoElement, 3: ImageOrLabelDimensions, 4: number, 5: Array<*>, 6: Array<*>}} ReplayImageOrLabelArgs\n */\n/**\n * @template T\n * @typedef {function(import(\"../../Feature.js\").FeatureLike, import(\"../../geom/SimpleGeometry.js\").default): T} FeatureCallback\n */\n/**\n * @type {import(\"../../extent.js\").Extent}\n */\nvar tmpExtent = createEmpty();\n/** @type {import(\"../../coordinate.js\").Coordinate} */\nvar p1 = [];\n/** @type {import(\"../../coordinate.js\").Coordinate} */\nvar p2 = [];\n/** @type {import(\"../../coordinate.js\").Coordinate} */\nvar p3 = [];\n/** @type {import(\"../../coordinate.js\").Coordinate} */\nvar p4 = [];\n/**\n * @param {ReplayImageOrLabelArgs} replayImageOrLabelArgs Arguments to replayImageOrLabel\n * @return {BBox} Declutter bbox.\n */\nfunction getDeclutterBox(replayImageOrLabelArgs) {\n    return replayImageOrLabelArgs[3].declutterBox;\n}\nvar rtlRegEx = new RegExp(\n/* eslint-disable prettier/prettier */\n'[' +\n    String.fromCharCode(0x00591) + '-' + String.fromCharCode(0x008ff) +\n    String.fromCharCode(0x0fb1d) + '-' + String.fromCharCode(0x0fdff) +\n    String.fromCharCode(0x0fe70) + '-' + String.fromCharCode(0x0fefc) +\n    String.fromCharCode(0x10800) + '-' + String.fromCharCode(0x10fff) +\n    String.fromCharCode(0x1e800) + '-' + String.fromCharCode(0x1efff) +\n    ']'\n/* eslint-enable prettier/prettier */\n);\n/**\n * @param {string} text Text.\n * @param {string} align Alignment.\n * @return {number} Text alignment.\n */\nfunction horizontalTextAlign(text, align) {\n    if ((align === 'start' || align === 'end') && !rtlRegEx.test(text)) {\n        align = align === 'start' ? 'left' : 'right';\n    }\n    return TEXT_ALIGN[align];\n}\nvar Executor = /** @class */ (function () {\n    /**\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {boolean} overlaps The replay can have overlapping geometries.\n     * @param {import(\"../canvas.js\").SerializableInstructions} instructions The serializable instructions\n     */\n    function Executor(resolution, pixelRatio, overlaps, instructions) {\n        /**\n         * @protected\n         * @type {boolean}\n         */\n        this.overlaps = overlaps;\n        /**\n         * @protected\n         * @type {number}\n         */\n        this.pixelRatio = pixelRatio;\n        /**\n         * @protected\n         * @const\n         * @type {number}\n         */\n        this.resolution = resolution;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.alignFill_;\n        /**\n         * @protected\n         * @type {Array<*>}\n         */\n        this.instructions = instructions.instructions;\n        /**\n         * @protected\n         * @type {Array<number>}\n         */\n        this.coordinates = instructions.coordinates;\n        /**\n         * @private\n         * @type {!Object<number,import(\"../../coordinate.js\").Coordinate|Array<import(\"../../coordinate.js\").Coordinate>|Array<Array<import(\"../../coordinate.js\").Coordinate>>>}\n         */\n        this.coordinateCache_ = {};\n        /**\n         * @private\n         * @type {!import(\"../../transform.js\").Transform}\n         */\n        this.renderedTransform_ = createTransform();\n        /**\n         * @protected\n         * @type {Array<*>}\n         */\n        this.hitDetectionInstructions = instructions.hitDetectionInstructions;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.pixelCoordinates_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.viewRotation_ = 0;\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").FillState>}\n         */\n        this.fillStates = instructions.fillStates || {};\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").StrokeState>}\n         */\n        this.strokeStates = instructions.strokeStates || {};\n        /**\n         * @type {!Object<string, import(\"../canvas.js\").TextState>}\n         */\n        this.textStates = instructions.textStates || {};\n        /**\n         * @private\n         * @type {Object<string, Object<string, number>>}\n         */\n        this.widths_ = {};\n        /**\n         * @private\n         * @type {Object<string, import(\"../canvas.js\").Label>}\n         */\n        this.labels_ = {};\n    }\n    /**\n     * @param {string} text Text.\n     * @param {string} textKey Text style key.\n     * @param {string} fillKey Fill style key.\n     * @param {string} strokeKey Stroke style key.\n     * @return {import(\"../canvas.js\").Label} Label.\n     */\n    Executor.prototype.createLabel = function (text, textKey, fillKey, strokeKey) {\n        var key = text + textKey + fillKey + strokeKey;\n        if (this.labels_[key]) {\n            return this.labels_[key];\n        }\n        var strokeState = strokeKey ? this.strokeStates[strokeKey] : null;\n        var fillState = fillKey ? this.fillStates[fillKey] : null;\n        var textState = this.textStates[textKey];\n        var pixelRatio = this.pixelRatio;\n        var scale = [\n            textState.scale[0] * pixelRatio,\n            textState.scale[1] * pixelRatio,\n        ];\n        var align = horizontalTextAlign(text, textState.textAlign || defaultTextAlign);\n        var strokeWidth = strokeKey && strokeState.lineWidth ? strokeState.lineWidth : 0;\n        var lines = text.split('\\n');\n        var numLines = lines.length;\n        var widths = [];\n        var width = measureTextWidths(textState.font, lines, widths);\n        var lineHeight = measureTextHeight(textState.font);\n        var height = lineHeight * numLines;\n        var renderWidth = width + strokeWidth;\n        var contextInstructions = [];\n        // make canvas 2 pixels wider to account for italic text width measurement errors\n        var w = (renderWidth + 2) * scale[0];\n        var h = (height + strokeWidth) * scale[1];\n        /** @type {import(\"../canvas.js\").Label} */\n        var label = {\n            width: w < 0 ? Math.floor(w) : Math.ceil(w),\n            height: h < 0 ? Math.floor(h) : Math.ceil(h),\n            contextInstructions: contextInstructions,\n        };\n        if (scale[0] != 1 || scale[1] != 1) {\n            contextInstructions.push('scale', scale);\n        }\n        contextInstructions.push('font', textState.font);\n        if (strokeKey) {\n            contextInstructions.push('strokeStyle', strokeState.strokeStyle);\n            contextInstructions.push('lineWidth', strokeWidth);\n            contextInstructions.push('lineCap', strokeState.lineCap);\n            contextInstructions.push('lineJoin', strokeState.lineJoin);\n            contextInstructions.push('miterLimit', strokeState.miterLimit);\n            // eslint-disable-next-line\n            var Context = WORKER_OFFSCREEN_CANVAS ? OffscreenCanvasRenderingContext2D : CanvasRenderingContext2D;\n            if (Context.prototype.setLineDash) {\n                contextInstructions.push('setLineDash', [strokeState.lineDash]);\n                contextInstructions.push('lineDashOffset', strokeState.lineDashOffset);\n            }\n        }\n        if (fillKey) {\n            contextInstructions.push('fillStyle', fillState.fillStyle);\n        }\n        contextInstructions.push('textBaseline', 'middle');\n        contextInstructions.push('textAlign', 'center');\n        var leftRight = 0.5 - align;\n        var x = align * renderWidth + leftRight * strokeWidth;\n        var i;\n        if (strokeKey) {\n            for (i = 0; i < numLines; ++i) {\n                contextInstructions.push('strokeText', [\n                    lines[i],\n                    x + leftRight * widths[i],\n                    0.5 * (strokeWidth + lineHeight) + i * lineHeight,\n                ]);\n            }\n        }\n        if (fillKey) {\n            for (i = 0; i < numLines; ++i) {\n                contextInstructions.push('fillText', [\n                    lines[i],\n                    x + leftRight * widths[i],\n                    0.5 * (strokeWidth + lineHeight) + i * lineHeight,\n                ]);\n            }\n        }\n        this.labels_[key] = label;\n        return label;\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../coordinate.js\").Coordinate} p1 1st point of the background box.\n     * @param {import(\"../../coordinate.js\").Coordinate} p2 2nd point of the background box.\n     * @param {import(\"../../coordinate.js\").Coordinate} p3 3rd point of the background box.\n     * @param {import(\"../../coordinate.js\").Coordinate} p4 4th point of the background box.\n     * @param {Array<*>} fillInstruction Fill instruction.\n     * @param {Array<*>} strokeInstruction Stroke instruction.\n     */\n    Executor.prototype.replayTextBackground_ = function (context, p1, p2, p3, p4, fillInstruction, strokeInstruction) {\n        context.beginPath();\n        context.moveTo.apply(context, p1);\n        context.lineTo.apply(context, p2);\n        context.lineTo.apply(context, p3);\n        context.lineTo.apply(context, p4);\n        context.lineTo.apply(context, p1);\n        if (fillInstruction) {\n            this.alignFill_ = /** @type {boolean} */ (fillInstruction[2]);\n            this.fill_(context);\n        }\n        if (strokeInstruction) {\n            this.setStrokeStyle_(context, \n            /** @type {Array<*>} */ (strokeInstruction));\n            context.stroke();\n        }\n    };\n    /**\n     * @private\n     * @param {number} sheetWidth Width of the sprite sheet.\n     * @param {number} sheetHeight Height of the sprite sheet.\n     * @param {number} centerX X.\n     * @param {number} centerY Y.\n     * @param {number} width Width.\n     * @param {number} height Height.\n     * @param {number} anchorX Anchor X.\n     * @param {number} anchorY Anchor Y.\n     * @param {number} originX Origin X.\n     * @param {number} originY Origin Y.\n     * @param {number} rotation Rotation.\n     * @param {import(\"../../size.js\").Size} scale Scale.\n     * @param {boolean} snapToPixel Snap to pixel.\n     * @param {Array<number>} padding Padding.\n     * @param {boolean} fillStroke Background fill or stroke.\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     * @return {ImageOrLabelDimensions} Dimensions for positioning and decluttering the image or label.\n     */\n    Executor.prototype.calculateImageOrLabelDimensions_ = function (sheetWidth, sheetHeight, centerX, centerY, width, height, anchorX, anchorY, originX, originY, rotation, scale, snapToPixel, padding, fillStroke, feature) {\n        anchorX *= scale[0];\n        anchorY *= scale[1];\n        var x = centerX - anchorX;\n        var y = centerY - anchorY;\n        var w = width + originX > sheetWidth ? sheetWidth - originX : width;\n        var h = height + originY > sheetHeight ? sheetHeight - originY : height;\n        var boxW = padding[3] + w * scale[0] + padding[1];\n        var boxH = padding[0] + h * scale[1] + padding[2];\n        var boxX = x - padding[3];\n        var boxY = y - padding[0];\n        if (fillStroke || rotation !== 0) {\n            p1[0] = boxX;\n            p4[0] = boxX;\n            p1[1] = boxY;\n            p2[1] = boxY;\n            p2[0] = boxX + boxW;\n            p3[0] = p2[0];\n            p3[1] = boxY + boxH;\n            p4[1] = p3[1];\n        }\n        var transform;\n        if (rotation !== 0) {\n            transform = composeTransform(createTransform(), centerX, centerY, 1, 1, rotation, -centerX, -centerY);\n            applyTransform(transform, p1);\n            applyTransform(transform, p2);\n            applyTransform(transform, p3);\n            applyTransform(transform, p4);\n            createOrUpdate(Math.min(p1[0], p2[0], p3[0], p4[0]), Math.min(p1[1], p2[1], p3[1], p4[1]), Math.max(p1[0], p2[0], p3[0], p4[0]), Math.max(p1[1], p2[1], p3[1], p4[1]), tmpExtent);\n        }\n        else {\n            createOrUpdate(Math.min(boxX, boxX + boxW), Math.min(boxY, boxY + boxH), Math.max(boxX, boxX + boxW), Math.max(boxY, boxY + boxH), tmpExtent);\n        }\n        if (snapToPixel) {\n            x = Math.round(x);\n            y = Math.round(y);\n        }\n        return {\n            drawImageX: x,\n            drawImageY: y,\n            drawImageW: w,\n            drawImageH: h,\n            originX: originX,\n            originY: originY,\n            declutterBox: {\n                minX: tmpExtent[0],\n                minY: tmpExtent[1],\n                maxX: tmpExtent[2],\n                maxY: tmpExtent[3],\n                value: feature,\n            },\n            canvasTransform: transform,\n            scale: scale,\n        };\n    };\n    /**\n     * @private\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {number} contextScale Scale of the context.\n     * @param {import(\"../canvas.js\").Label|HTMLImageElement|HTMLCanvasElement|HTMLVideoElement} imageOrLabel Image.\n     * @param {ImageOrLabelDimensions} dimensions Dimensions.\n     * @param {number} opacity Opacity.\n     * @param {Array<*>} fillInstruction Fill instruction.\n     * @param {Array<*>} strokeInstruction Stroke instruction.\n     * @return {boolean} The image or label was rendered.\n     */\n    Executor.prototype.replayImageOrLabel_ = function (context, contextScale, imageOrLabel, dimensions, opacity, fillInstruction, strokeInstruction) {\n        var fillStroke = !!(fillInstruction || strokeInstruction);\n        var box = dimensions.declutterBox;\n        var canvas = context.canvas;\n        var strokePadding = strokeInstruction\n            ? (strokeInstruction[2] * dimensions.scale[0]) / 2\n            : 0;\n        var intersects = box.minX - strokePadding <= canvas.width / contextScale &&\n            box.maxX + strokePadding >= 0 &&\n            box.minY - strokePadding <= canvas.height / contextScale &&\n            box.maxY + strokePadding >= 0;\n        if (intersects) {\n            if (fillStroke) {\n                this.replayTextBackground_(context, p1, p2, p3, p4, \n                /** @type {Array<*>} */ (fillInstruction), \n                /** @type {Array<*>} */ (strokeInstruction));\n            }\n            drawImageOrLabel(context, dimensions.canvasTransform, opacity, imageOrLabel, dimensions.originX, dimensions.originY, dimensions.drawImageW, dimensions.drawImageH, dimensions.drawImageX, dimensions.drawImageY, dimensions.scale);\n        }\n        return true;\n    };\n    /**\n     * @private\n     * @param {CanvasRenderingContext2D} context Context.\n     */\n    Executor.prototype.fill_ = function (context) {\n        if (this.alignFill_) {\n            var origin_1 = applyTransform(this.renderedTransform_, [0, 0]);\n            var repeatSize = 512 * this.pixelRatio;\n            context.save();\n            context.translate(origin_1[0] % repeatSize, origin_1[1] % repeatSize);\n            context.rotate(this.viewRotation_);\n        }\n        context.fill();\n        if (this.alignFill_) {\n            context.restore();\n        }\n    };\n    /**\n     * @private\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {Array<*>} instruction Instruction.\n     */\n    Executor.prototype.setStrokeStyle_ = function (context, instruction) {\n        context['strokeStyle'] =\n            /** @type {import(\"../../colorlike.js\").ColorLike} */ (instruction[1]);\n        context.lineWidth = /** @type {number} */ (instruction[2]);\n        context.lineCap = /** @type {CanvasLineCap} */ (instruction[3]);\n        context.lineJoin = /** @type {CanvasLineJoin} */ (instruction[4]);\n        context.miterLimit = /** @type {number} */ (instruction[5]);\n        if (context.setLineDash) {\n            context.lineDashOffset = /** @type {number} */ (instruction[7]);\n            context.setLineDash(/** @type {Array<number>} */ (instruction[6]));\n        }\n    };\n    /**\n     * @private\n     * @param {string} text The text to draw.\n     * @param {string} textKey The key of the text state.\n     * @param {string} strokeKey The key for the stroke state.\n     * @param {string} fillKey The key for the fill state.\n     * @return {{label: import(\"../canvas.js\").Label, anchorX: number, anchorY: number}} The text image and its anchor.\n     */\n    Executor.prototype.drawLabelWithPointPlacement_ = function (text, textKey, strokeKey, fillKey) {\n        var textState = this.textStates[textKey];\n        var label = this.createLabel(text, textKey, fillKey, strokeKey);\n        var strokeState = this.strokeStates[strokeKey];\n        var pixelRatio = this.pixelRatio;\n        var align = horizontalTextAlign(text, textState.textAlign || defaultTextAlign);\n        var baseline = TEXT_ALIGN[textState.textBaseline || defaultTextBaseline];\n        var strokeWidth = strokeState && strokeState.lineWidth ? strokeState.lineWidth : 0;\n        // Remove the 2 pixels we added in createLabel() for the anchor\n        var width = label.width / pixelRatio - 2 * textState.scale[0];\n        var anchorX = align * width + 2 * (0.5 - align) * strokeWidth;\n        var anchorY = (baseline * label.height) / pixelRatio +\n            2 * (0.5 - baseline) * strokeWidth;\n        return {\n            label: label,\n            anchorX: anchorX,\n            anchorY: anchorY,\n        };\n    };\n    /**\n     * @private\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {number} contextScale Scale of the context.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @param {Array<*>} instructions Instructions array.\n     * @param {boolean} snapToPixel Snap point symbols and text to integer pixels.\n     * @param {FeatureCallback<T>} [opt_featureCallback] Feature callback.\n     * @param {import(\"../../extent.js\").Extent} [opt_hitExtent] Only check\n     *     features that intersect this extent.\n     * @param {import(\"rbush\").default} [opt_declutterTree] Declutter tree.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    Executor.prototype.execute_ = function (context, contextScale, transform, instructions, snapToPixel, opt_featureCallback, opt_hitExtent, opt_declutterTree) {\n        /** @type {Array<number>} */\n        var pixelCoordinates;\n        if (this.pixelCoordinates_ && equals(transform, this.renderedTransform_)) {\n            pixelCoordinates = this.pixelCoordinates_;\n        }\n        else {\n            if (!this.pixelCoordinates_) {\n                this.pixelCoordinates_ = [];\n            }\n            pixelCoordinates = transform2D(this.coordinates, 0, this.coordinates.length, 2, transform, this.pixelCoordinates_);\n            transformSetFromArray(this.renderedTransform_, transform);\n        }\n        var i = 0; // instruction index\n        var ii = instructions.length; // end of instructions\n        var d = 0; // data index\n        var dd; // end of per-instruction data\n        var anchorX, anchorY, prevX, prevY, roundX, roundY, image, text, textKey, strokeKey, fillKey;\n        var pendingFill = 0;\n        var pendingStroke = 0;\n        var lastFillInstruction = null;\n        var lastStrokeInstruction = null;\n        var coordinateCache = this.coordinateCache_;\n        var viewRotation = this.viewRotation_;\n        var viewRotationFromTransform = Math.round(Math.atan2(-transform[1], transform[0]) * 1e12) / 1e12;\n        var state = /** @type {import(\"../../render.js\").State} */ ({\n            context: context,\n            pixelRatio: this.pixelRatio,\n            resolution: this.resolution,\n            rotation: viewRotation,\n        });\n        // When the batch size gets too big, performance decreases. 200 is a good\n        // balance between batch size and number of fill/stroke instructions.\n        var batchSize = this.instructions != instructions || this.overlaps ? 0 : 200;\n        var /** @type {import(\"../../Feature.js\").FeatureLike} */ feature;\n        var x, y, currentGeometry;\n        while (i < ii) {\n            var instruction = instructions[i];\n            var type = /** @type {import(\"./Instruction.js\").default} */ (instruction[0]);\n            switch (type) {\n                case CanvasInstruction.BEGIN_GEOMETRY:\n                    feature = /** @type {import(\"../../Feature.js\").FeatureLike} */ (instruction[1]);\n                    currentGeometry = instruction[3];\n                    if (!feature.getGeometry()) {\n                        i = /** @type {number} */ (instruction[2]);\n                    }\n                    else if (opt_hitExtent !== undefined &&\n                        !intersects(opt_hitExtent, currentGeometry.getExtent())) {\n                        i = /** @type {number} */ (instruction[2]) + 1;\n                    }\n                    else {\n                        ++i;\n                    }\n                    break;\n                case CanvasInstruction.BEGIN_PATH:\n                    if (pendingFill > batchSize) {\n                        this.fill_(context);\n                        pendingFill = 0;\n                    }\n                    if (pendingStroke > batchSize) {\n                        context.stroke();\n                        pendingStroke = 0;\n                    }\n                    if (!pendingFill && !pendingStroke) {\n                        context.beginPath();\n                        prevX = NaN;\n                        prevY = NaN;\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.CIRCLE:\n                    d = /** @type {number} */ (instruction[1]);\n                    var x1 = pixelCoordinates[d];\n                    var y1 = pixelCoordinates[d + 1];\n                    var x2 = pixelCoordinates[d + 2];\n                    var y2 = pixelCoordinates[d + 3];\n                    var dx = x2 - x1;\n                    var dy = y2 - y1;\n                    var r = Math.sqrt(dx * dx + dy * dy);\n                    context.moveTo(x1 + r, y1);\n                    context.arc(x1, y1, r, 0, 2 * Math.PI, true);\n                    ++i;\n                    break;\n                case CanvasInstruction.CLOSE_PATH:\n                    context.closePath();\n                    ++i;\n                    break;\n                case CanvasInstruction.CUSTOM:\n                    d = /** @type {number} */ (instruction[1]);\n                    dd = instruction[2];\n                    var geometry = \n                    /** @type {import(\"../../geom/SimpleGeometry.js\").default} */ (instruction[3]);\n                    var renderer = instruction[4];\n                    var fn = instruction.length == 6 ? instruction[5] : undefined;\n                    state.geometry = geometry;\n                    state.feature = feature;\n                    if (!(i in coordinateCache)) {\n                        coordinateCache[i] = [];\n                    }\n                    var coords = coordinateCache[i];\n                    if (fn) {\n                        fn(pixelCoordinates, d, dd, 2, coords);\n                    }\n                    else {\n                        coords[0] = pixelCoordinates[d];\n                        coords[1] = pixelCoordinates[d + 1];\n                        coords.length = 2;\n                    }\n                    renderer(coords, state);\n                    ++i;\n                    break;\n                case CanvasInstruction.DRAW_IMAGE:\n                    d = /** @type {number} */ (instruction[1]);\n                    dd = /** @type {number} */ (instruction[2]);\n                    image =\n                        /** @type {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement} */ (instruction[3]);\n                    // Remaining arguments in DRAW_IMAGE are in alphabetical order\n                    anchorX = /** @type {number} */ (instruction[4]);\n                    anchorY = /** @type {number} */ (instruction[5]);\n                    var height = /** @type {number} */ (instruction[6]);\n                    var opacity = /** @type {number} */ (instruction[7]);\n                    var originX = /** @type {number} */ (instruction[8]);\n                    var originY = /** @type {number} */ (instruction[9]);\n                    var rotateWithView = /** @type {boolean} */ (instruction[10]);\n                    var rotation = /** @type {number} */ (instruction[11]);\n                    var scale = /** @type {import(\"../../size.js\").Size} */ (instruction[12]);\n                    var width = /** @type {number} */ (instruction[13]);\n                    var declutterImageWithText = \n                    /** @type {import(\"../canvas.js\").DeclutterImageWithText} */ (instruction[14]);\n                    if (!image && instruction.length >= 19) {\n                        // create label images\n                        text = /** @type {string} */ (instruction[18]);\n                        textKey = /** @type {string} */ (instruction[19]);\n                        strokeKey = /** @type {string} */ (instruction[20]);\n                        fillKey = /** @type {string} */ (instruction[21]);\n                        var labelWithAnchor = this.drawLabelWithPointPlacement_(text, textKey, strokeKey, fillKey);\n                        image = labelWithAnchor.label;\n                        instruction[3] = image;\n                        var textOffsetX = /** @type {number} */ (instruction[22]);\n                        anchorX = (labelWithAnchor.anchorX - textOffsetX) * this.pixelRatio;\n                        instruction[4] = anchorX;\n                        var textOffsetY = /** @type {number} */ (instruction[23]);\n                        anchorY = (labelWithAnchor.anchorY - textOffsetY) * this.pixelRatio;\n                        instruction[5] = anchorY;\n                        height = image.height;\n                        instruction[6] = height;\n                        width = image.width;\n                        instruction[13] = width;\n                    }\n                    var geometryWidths = void 0;\n                    if (instruction.length > 24) {\n                        geometryWidths = /** @type {number} */ (instruction[24]);\n                    }\n                    var padding = void 0, backgroundFill = void 0, backgroundStroke = void 0;\n                    if (instruction.length > 16) {\n                        padding = /** @type {Array<number>} */ (instruction[15]);\n                        backgroundFill = /** @type {boolean} */ (instruction[16]);\n                        backgroundStroke = /** @type {boolean} */ (instruction[17]);\n                    }\n                    else {\n                        padding = defaultPadding;\n                        backgroundFill = false;\n                        backgroundStroke = false;\n                    }\n                    if (rotateWithView && viewRotationFromTransform) {\n                        // Canvas is expected to be rotated to reverse view rotation.\n                        rotation += viewRotation;\n                    }\n                    else if (!rotateWithView && !viewRotationFromTransform) {\n                        // Canvas is not rotated, images need to be rotated back to be north-up.\n                        rotation -= viewRotation;\n                    }\n                    var widthIndex = 0;\n                    for (; d < dd; d += 2) {\n                        if (geometryWidths &&\n                            geometryWidths[widthIndex++] < width / this.pixelRatio) {\n                            continue;\n                        }\n                        var dimensions = this.calculateImageOrLabelDimensions_(image.width, image.height, pixelCoordinates[d], pixelCoordinates[d + 1], width, height, anchorX, anchorY, originX, originY, rotation, scale, snapToPixel, padding, backgroundFill || backgroundStroke, feature);\n                        /** @type {ReplayImageOrLabelArgs} */\n                        var args = [\n                            context,\n                            contextScale,\n                            image,\n                            dimensions,\n                            opacity,\n                            backgroundFill\n                                ? /** @type {Array<*>} */ (lastFillInstruction)\n                                : null,\n                            backgroundStroke\n                                ? /** @type {Array<*>} */ (lastStrokeInstruction)\n                                : null,\n                        ];\n                        var imageArgs = void 0;\n                        var imageDeclutterBox = void 0;\n                        if (opt_declutterTree && declutterImageWithText) {\n                            var index = dd - d;\n                            if (!declutterImageWithText[index]) {\n                                // We now have the image for an image+text combination.\n                                declutterImageWithText[index] = args;\n                                // Don't render anything for now, wait for the text.\n                                continue;\n                            }\n                            imageArgs = declutterImageWithText[index];\n                            delete declutterImageWithText[index];\n                            imageDeclutterBox = getDeclutterBox(imageArgs);\n                            if (opt_declutterTree.collides(imageDeclutterBox)) {\n                                continue;\n                            }\n                        }\n                        if (opt_declutterTree &&\n                            opt_declutterTree.collides(dimensions.declutterBox)) {\n                            continue;\n                        }\n                        if (imageArgs) {\n                            // We now have image and text for an image+text combination.\n                            if (opt_declutterTree) {\n                                opt_declutterTree.insert(imageDeclutterBox);\n                            }\n                            // Render the image before we render the text.\n                            this.replayImageOrLabel_.apply(this, imageArgs);\n                        }\n                        if (opt_declutterTree) {\n                            opt_declutterTree.insert(dimensions.declutterBox);\n                        }\n                        this.replayImageOrLabel_.apply(this, args);\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.DRAW_CHARS:\n                    var begin = /** @type {number} */ (instruction[1]);\n                    var end = /** @type {number} */ (instruction[2]);\n                    var baseline = /** @type {number} */ (instruction[3]);\n                    var overflow = /** @type {number} */ (instruction[4]);\n                    fillKey = /** @type {string} */ (instruction[5]);\n                    var maxAngle = /** @type {number} */ (instruction[6]);\n                    var measurePixelRatio = /** @type {number} */ (instruction[7]);\n                    var offsetY = /** @type {number} */ (instruction[8]);\n                    strokeKey = /** @type {string} */ (instruction[9]);\n                    var strokeWidth = /** @type {number} */ (instruction[10]);\n                    text = /** @type {string} */ (instruction[11]);\n                    textKey = /** @type {string} */ (instruction[12]);\n                    var pixelRatioScale = [\n                        /** @type {number} */ (instruction[13]),\n                        /** @type {number} */ (instruction[13]),\n                    ];\n                    var textState = this.textStates[textKey];\n                    var font = textState.font;\n                    var textScale = [\n                        textState.scale[0] * measurePixelRatio,\n                        textState.scale[1] * measurePixelRatio,\n                    ];\n                    var cachedWidths = void 0;\n                    if (font in this.widths_) {\n                        cachedWidths = this.widths_[font];\n                    }\n                    else {\n                        cachedWidths = {};\n                        this.widths_[font] = cachedWidths;\n                    }\n                    var pathLength = lineStringLength(pixelCoordinates, begin, end, 2);\n                    var textLength = Math.abs(textScale[0]) *\n                        measureAndCacheTextWidth(font, text, cachedWidths);\n                    if (overflow || textLength <= pathLength) {\n                        var textAlign = this.textStates[textKey].textAlign;\n                        var startM = (pathLength - textLength) * TEXT_ALIGN[textAlign];\n                        var parts = drawTextOnPath(pixelCoordinates, begin, end, 2, text, startM, maxAngle, Math.abs(textScale[0]), measureAndCacheTextWidth, font, cachedWidths, viewRotationFromTransform ? 0 : this.viewRotation_);\n                        drawChars: if (parts) {\n                            /** @type {Array<ReplayImageOrLabelArgs>} */\n                            var replayImageOrLabelArgs = [];\n                            var c = void 0, cc = void 0, chars = void 0, label = void 0, part = void 0;\n                            if (strokeKey) {\n                                for (c = 0, cc = parts.length; c < cc; ++c) {\n                                    part = parts[c]; // x, y, anchorX, rotation, chunk\n                                    chars = /** @type {string} */ (part[4]);\n                                    label = this.createLabel(chars, textKey, '', strokeKey);\n                                    anchorX =\n                                        /** @type {number} */ (part[2]) +\n                                            (textScale[0] < 0 ? -strokeWidth : strokeWidth);\n                                    anchorY =\n                                        baseline * label.height +\n                                            ((0.5 - baseline) * 2 * strokeWidth * textScale[1]) /\n                                                textScale[0] -\n                                            offsetY;\n                                    var dimensions = this.calculateImageOrLabelDimensions_(label.width, label.height, part[0], part[1], label.width, label.height, anchorX, anchorY, 0, 0, part[3], pixelRatioScale, false, defaultPadding, false, feature);\n                                    if (opt_declutterTree &&\n                                        opt_declutterTree.collides(dimensions.declutterBox)) {\n                                        break drawChars;\n                                    }\n                                    replayImageOrLabelArgs.push([\n                                        context,\n                                        contextScale,\n                                        label,\n                                        dimensions,\n                                        1,\n                                        null,\n                                        null,\n                                    ]);\n                                }\n                            }\n                            if (fillKey) {\n                                for (c = 0, cc = parts.length; c < cc; ++c) {\n                                    part = parts[c]; // x, y, anchorX, rotation, chunk\n                                    chars = /** @type {string} */ (part[4]);\n                                    label = this.createLabel(chars, textKey, fillKey, '');\n                                    anchorX = /** @type {number} */ (part[2]);\n                                    anchorY = baseline * label.height - offsetY;\n                                    var dimensions = this.calculateImageOrLabelDimensions_(label.width, label.height, part[0], part[1], label.width, label.height, anchorX, anchorY, 0, 0, part[3], pixelRatioScale, false, defaultPadding, false, feature);\n                                    if (opt_declutterTree &&\n                                        opt_declutterTree.collides(dimensions.declutterBox)) {\n                                        break drawChars;\n                                    }\n                                    replayImageOrLabelArgs.push([\n                                        context,\n                                        contextScale,\n                                        label,\n                                        dimensions,\n                                        1,\n                                        null,\n                                        null,\n                                    ]);\n                                }\n                            }\n                            if (opt_declutterTree) {\n                                opt_declutterTree.load(replayImageOrLabelArgs.map(getDeclutterBox));\n                            }\n                            for (var i_1 = 0, ii_1 = replayImageOrLabelArgs.length; i_1 < ii_1; ++i_1) {\n                                this.replayImageOrLabel_.apply(this, replayImageOrLabelArgs[i_1]);\n                            }\n                        }\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.END_GEOMETRY:\n                    if (opt_featureCallback !== undefined) {\n                        feature = /** @type {import(\"../../Feature.js\").FeatureLike} */ (instruction[1]);\n                        var result = opt_featureCallback(feature, currentGeometry);\n                        if (result) {\n                            return result;\n                        }\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.FILL:\n                    if (batchSize) {\n                        pendingFill++;\n                    }\n                    else {\n                        this.fill_(context);\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.MOVE_TO_LINE_TO:\n                    d = /** @type {number} */ (instruction[1]);\n                    dd = /** @type {number} */ (instruction[2]);\n                    x = pixelCoordinates[d];\n                    y = pixelCoordinates[d + 1];\n                    roundX = (x + 0.5) | 0;\n                    roundY = (y + 0.5) | 0;\n                    if (roundX !== prevX || roundY !== prevY) {\n                        context.moveTo(x, y);\n                        prevX = roundX;\n                        prevY = roundY;\n                    }\n                    for (d += 2; d < dd; d += 2) {\n                        x = pixelCoordinates[d];\n                        y = pixelCoordinates[d + 1];\n                        roundX = (x + 0.5) | 0;\n                        roundY = (y + 0.5) | 0;\n                        if (d == dd - 2 || roundX !== prevX || roundY !== prevY) {\n                            context.lineTo(x, y);\n                            prevX = roundX;\n                            prevY = roundY;\n                        }\n                    }\n                    ++i;\n                    break;\n                case CanvasInstruction.SET_FILL_STYLE:\n                    lastFillInstruction = instruction;\n                    this.alignFill_ = instruction[2];\n                    if (pendingFill) {\n                        this.fill_(context);\n                        pendingFill = 0;\n                        if (pendingStroke) {\n                            context.stroke();\n                            pendingStroke = 0;\n                        }\n                    }\n                    context.fillStyle =\n                        /** @type {import(\"../../colorlike.js\").ColorLike} */ (instruction[1]);\n                    ++i;\n                    break;\n                case CanvasInstruction.SET_STROKE_STYLE:\n                    lastStrokeInstruction = instruction;\n                    if (pendingStroke) {\n                        context.stroke();\n                        pendingStroke = 0;\n                    }\n                    this.setStrokeStyle_(context, /** @type {Array<*>} */ (instruction));\n                    ++i;\n                    break;\n                case CanvasInstruction.STROKE:\n                    if (batchSize) {\n                        pendingStroke++;\n                    }\n                    else {\n                        context.stroke();\n                    }\n                    ++i;\n                    break;\n                default:\n                    ++i; // consume the instruction anyway, to avoid an infinite loop\n                    break;\n            }\n        }\n        if (pendingFill) {\n            this.fill_(context);\n        }\n        if (pendingStroke) {\n            context.stroke();\n        }\n        return undefined;\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {number} contextScale Scale of the context.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @param {number} viewRotation View rotation.\n     * @param {boolean} snapToPixel Snap point symbols and text to integer pixels.\n     * @param {import(\"rbush\").default} [opt_declutterTree] Declutter tree.\n     */\n    Executor.prototype.execute = function (context, contextScale, transform, viewRotation, snapToPixel, opt_declutterTree) {\n        this.viewRotation_ = viewRotation;\n        this.execute_(context, contextScale, transform, this.instructions, snapToPixel, undefined, undefined, opt_declutterTree);\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @param {number} viewRotation View rotation.\n     * @param {FeatureCallback<T>} [opt_featureCallback] Feature callback.\n     * @param {import(\"../../extent.js\").Extent} [opt_hitExtent] Only check\n     *     features that intersect this extent.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    Executor.prototype.executeHitDetection = function (context, transform, viewRotation, opt_featureCallback, opt_hitExtent) {\n        this.viewRotation_ = viewRotation;\n        return this.execute_(context, 1, transform, this.hitDetectionInstructions, true, opt_featureCallback, opt_hitExtent);\n    };\n    return Executor;\n}());\nexport default Executor;\n//# sourceMappingURL=Executor.js.map","/**\n * @module ol/render/canvas/ExecutorGroup\n */\nimport BuilderType from './BuilderType.js';\nimport Executor from './Executor.js';\nimport { buffer, createEmpty, extendCoordinate } from '../../extent.js';\nimport { compose as composeTransform, create as createTransform, } from '../../transform.js';\nimport { createCanvasContext2D } from '../../dom.js';\nimport { isEmpty } from '../../obj.js';\nimport { numberSafeCompareFunction } from '../../array.js';\nimport { transform2D } from '../../geom/flat/transform.js';\n/**\n * @const\n * @type {Array<import(\"./BuilderType.js\").default>}\n */\nvar ORDER = [\n    BuilderType.POLYGON,\n    BuilderType.CIRCLE,\n    BuilderType.LINE_STRING,\n    BuilderType.IMAGE,\n    BuilderType.TEXT,\n    BuilderType.DEFAULT,\n];\nvar ExecutorGroup = /** @class */ (function () {\n    /**\n     * @param {import(\"../../extent.js\").Extent} maxExtent Max extent for clipping. When a\n     * `maxExtent` was set on the Builder for this executor group, the same `maxExtent`\n     * should be set here, unless the target context does not exceed that extent (which\n     * can be the case when rendering to tiles).\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {boolean} overlaps The executor group can have overlapping geometries.\n     * @param {!Object<string, !Object<import(\"./BuilderType.js\").default, import(\"../canvas.js\").SerializableInstructions>>} allInstructions\n     * The serializable instructions.\n     * @param {number} [opt_renderBuffer] Optional rendering buffer.\n     */\n    function ExecutorGroup(maxExtent, resolution, pixelRatio, overlaps, allInstructions, opt_renderBuffer) {\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        this.maxExtent_ = maxExtent;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        this.overlaps_ = overlaps;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.pixelRatio_ = pixelRatio;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.resolution_ = resolution;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.renderBuffer_ = opt_renderBuffer;\n        /**\n         * @private\n         * @type {!Object<string, !Object<import(\"./BuilderType.js\").default, import(\"./Executor\").default>>}\n         */\n        this.executorsByZIndex_ = {};\n        /**\n         * @private\n         * @type {CanvasRenderingContext2D}\n         */\n        this.hitDetectionContext_ = null;\n        /**\n         * @private\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        this.hitDetectionTransform_ = createTransform();\n        this.createExecutors_(allInstructions);\n    }\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     */\n    ExecutorGroup.prototype.clip = function (context, transform) {\n        var flatClipCoords = this.getClipCoords(transform);\n        context.beginPath();\n        context.moveTo(flatClipCoords[0], flatClipCoords[1]);\n        context.lineTo(flatClipCoords[2], flatClipCoords[3]);\n        context.lineTo(flatClipCoords[4], flatClipCoords[5]);\n        context.lineTo(flatClipCoords[6], flatClipCoords[7]);\n        context.clip();\n    };\n    /**\n     * Create executors and populate them using the provided instructions.\n     * @private\n     * @param {!Object<string, !Object<import(\"./BuilderType.js\").default, import(\"../canvas.js\").SerializableInstructions>>} allInstructions The serializable instructions\n     */\n    ExecutorGroup.prototype.createExecutors_ = function (allInstructions) {\n        for (var zIndex in allInstructions) {\n            var executors = this.executorsByZIndex_[zIndex];\n            if (executors === undefined) {\n                executors = {};\n                this.executorsByZIndex_[zIndex] = executors;\n            }\n            var instructionByZindex = allInstructions[zIndex];\n            for (var builderType in instructionByZindex) {\n                var instructions = instructionByZindex[builderType];\n                executors[builderType] = new Executor(this.resolution_, this.pixelRatio_, this.overlaps_, instructions);\n            }\n        }\n    };\n    /**\n     * @param {Array<import(\"./BuilderType.js\").default>} executors Executors.\n     * @return {boolean} Has executors of the provided types.\n     */\n    ExecutorGroup.prototype.hasExecutors = function (executors) {\n        for (var zIndex in this.executorsByZIndex_) {\n            var candidates = this.executorsByZIndex_[zIndex];\n            for (var i = 0, ii = executors.length; i < ii; ++i) {\n                if (executors[i] in candidates) {\n                    return true;\n                }\n            }\n        }\n        return false;\n    };\n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {number} resolution Resolution.\n     * @param {number} rotation Rotation.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {function(import(\"../../Feature.js\").FeatureLike, import(\"../../geom/SimpleGeometry.js\").default, number): T} callback Feature callback.\n     * @param {Array<import(\"../../Feature.js\").FeatureLike>} declutteredFeatures Decluttered features.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    ExecutorGroup.prototype.forEachFeatureAtCoordinate = function (coordinate, resolution, rotation, hitTolerance, callback, declutteredFeatures) {\n        hitTolerance = Math.round(hitTolerance);\n        var contextSize = hitTolerance * 2 + 1;\n        var transform = composeTransform(this.hitDetectionTransform_, hitTolerance + 0.5, hitTolerance + 0.5, 1 / resolution, -1 / resolution, -rotation, -coordinate[0], -coordinate[1]);\n        var newContext = !this.hitDetectionContext_;\n        if (newContext) {\n            this.hitDetectionContext_ = createCanvasContext2D(contextSize, contextSize);\n        }\n        var context = this.hitDetectionContext_;\n        if (context.canvas.width !== contextSize ||\n            context.canvas.height !== contextSize) {\n            context.canvas.width = contextSize;\n            context.canvas.height = contextSize;\n        }\n        else if (!newContext) {\n            context.clearRect(0, 0, contextSize, contextSize);\n        }\n        /**\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        var hitExtent;\n        if (this.renderBuffer_ !== undefined) {\n            hitExtent = createEmpty();\n            extendCoordinate(hitExtent, coordinate);\n            buffer(hitExtent, resolution * (this.renderBuffer_ + hitTolerance), hitExtent);\n        }\n        var indexes = getPixelIndexArray(hitTolerance);\n        var builderType;\n        /**\n         * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n         * @param {import(\"../../geom/SimpleGeometry.js\").default} geometry Geometry.\n         * @return {T|undefined} Callback result.\n         */\n        function featureCallback(feature, geometry) {\n            var imageData = context.getImageData(0, 0, contextSize, contextSize).data;\n            for (var i_1 = 0, ii = indexes.length; i_1 < ii; i_1++) {\n                if (imageData[indexes[i_1]] > 0) {\n                    if (!declutteredFeatures ||\n                        (builderType !== BuilderType.IMAGE &&\n                            builderType !== BuilderType.TEXT) ||\n                        declutteredFeatures.indexOf(feature) !== -1) {\n                        var idx = (indexes[i_1] - 3) / 4;\n                        var x = hitTolerance - (idx % contextSize);\n                        var y = hitTolerance - ((idx / contextSize) | 0);\n                        var result_1 = callback(feature, geometry, x * x + y * y);\n                        if (result_1) {\n                            return result_1;\n                        }\n                    }\n                    context.clearRect(0, 0, contextSize, contextSize);\n                    break;\n                }\n            }\n            return undefined;\n        }\n        /** @type {Array<number>} */\n        var zs = Object.keys(this.executorsByZIndex_).map(Number);\n        zs.sort(numberSafeCompareFunction);\n        var i, j, executors, executor, result;\n        for (i = zs.length - 1; i >= 0; --i) {\n            var zIndexKey = zs[i].toString();\n            executors = this.executorsByZIndex_[zIndexKey];\n            for (j = ORDER.length - 1; j >= 0; --j) {\n                builderType = ORDER[j];\n                executor = executors[builderType];\n                if (executor !== undefined) {\n                    result = executor.executeHitDetection(context, transform, rotation, featureCallback, hitExtent);\n                    if (result) {\n                        return result;\n                    }\n                }\n            }\n        }\n        return undefined;\n    };\n    /**\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @return {Array<number>} Clip coordinates.\n     */\n    ExecutorGroup.prototype.getClipCoords = function (transform) {\n        var maxExtent = this.maxExtent_;\n        if (!maxExtent) {\n            return null;\n        }\n        var minX = maxExtent[0];\n        var minY = maxExtent[1];\n        var maxX = maxExtent[2];\n        var maxY = maxExtent[3];\n        var flatClipCoords = [minX, minY, minX, maxY, maxX, maxY, maxX, minY];\n        transform2D(flatClipCoords, 0, 8, 2, transform, flatClipCoords);\n        return flatClipCoords;\n    };\n    /**\n     * @return {boolean} Is empty.\n     */\n    ExecutorGroup.prototype.isEmpty = function () {\n        return isEmpty(this.executorsByZIndex_);\n    };\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {number} contextScale Scale of the context.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @param {number} viewRotation View rotation.\n     * @param {boolean} snapToPixel Snap point symbols and test to integer pixel.\n     * @param {Array<import(\"./BuilderType.js\").default>} [opt_builderTypes] Ordered replay types to replay.\n     *     Default is {@link module:ol/render/replay~ORDER}\n     * @param {import(\"rbush\").default} [opt_declutterTree] Declutter tree.\n     */\n    ExecutorGroup.prototype.execute = function (context, contextScale, transform, viewRotation, snapToPixel, opt_builderTypes, opt_declutterTree) {\n        /** @type {Array<number>} */\n        var zs = Object.keys(this.executorsByZIndex_).map(Number);\n        zs.sort(numberSafeCompareFunction);\n        // setup clipping so that the parts of over-simplified geometries are not\n        // visible outside the current extent when panning\n        if (this.maxExtent_) {\n            context.save();\n            this.clip(context, transform);\n        }\n        var builderTypes = opt_builderTypes ? opt_builderTypes : ORDER;\n        var i, ii, j, jj, replays, replay;\n        if (opt_declutterTree) {\n            zs.reverse();\n        }\n        for (i = 0, ii = zs.length; i < ii; ++i) {\n            var zIndexKey = zs[i].toString();\n            replays = this.executorsByZIndex_[zIndexKey];\n            for (j = 0, jj = builderTypes.length; j < jj; ++j) {\n                var builderType = builderTypes[j];\n                replay = replays[builderType];\n                if (replay !== undefined) {\n                    replay.execute(context, contextScale, transform, viewRotation, snapToPixel, opt_declutterTree);\n                }\n            }\n        }\n        if (this.maxExtent_) {\n            context.restore();\n        }\n    };\n    return ExecutorGroup;\n}());\n/**\n * This cache is used to store arrays of indexes for calculated pixel circles\n * to increase performance.\n * It is a static property to allow each Replaygroup to access it.\n * @type {Object<number, Array<number>>}\n */\nvar circlePixelIndexArrayCache = {};\n/**\n * This methods creates an array with indexes of all pixels within a circle,\n * ordered by how close they are to the center.\n * A cache is used to increase performance.\n * @param {number} radius Radius.\n * @return {Array<number>} An array with indexes within a circle.\n */\nexport function getPixelIndexArray(radius) {\n    if (circlePixelIndexArrayCache[radius] !== undefined) {\n        return circlePixelIndexArrayCache[radius];\n    }\n    var size = radius * 2 + 1;\n    var maxDistanceSq = radius * radius;\n    var distances = new Array(maxDistanceSq + 1);\n    for (var i = 0; i <= radius; ++i) {\n        for (var j = 0; j <= radius; ++j) {\n            var distanceSq = i * i + j * j;\n            if (distanceSq > maxDistanceSq) {\n                break;\n            }\n            var distance = distances[distanceSq];\n            if (!distance) {\n                distance = [];\n                distances[distanceSq] = distance;\n            }\n            distance.push(((radius + i) * size + (radius + j)) * 4 + 3);\n            if (i > 0) {\n                distance.push(((radius - i) * size + (radius + j)) * 4 + 3);\n            }\n            if (j > 0) {\n                distance.push(((radius + i) * size + (radius - j)) * 4 + 3);\n                if (i > 0) {\n                    distance.push(((radius - i) * size + (radius - j)) * 4 + 3);\n                }\n            }\n        }\n    }\n    var pixelIndex = [];\n    for (var i = 0, ii = distances.length; i < ii; ++i) {\n        if (distances[i]) {\n            pixelIndex.push.apply(pixelIndex, distances[i]);\n        }\n    }\n    circlePixelIndexArrayCache[radius] = pixelIndex;\n    return pixelIndex;\n}\nexport default ExecutorGroup;\n//# sourceMappingURL=ExecutorGroup.js.map","/**\n * @module ol/ViewHint\n */\n/**\n * @enum {number}\n */\nexport default {\n    ANIMATING: 0,\n    INTERACTING: 1,\n};\n//# sourceMappingURL=ViewHint.js.map","/**\n * @module ol/render/canvas/Immediate\n */\n// FIXME test, especially polygons with holes and multipolygons\n// FIXME need to handle large thick features (where pixel size matters)\n// FIXME add offset and end to ol/geom/flat/transform~transform2D?\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport GeometryType from '../../geom/GeometryType.js';\nimport VectorContext from '../VectorContext.js';\nimport { asColorLike } from '../../colorlike.js';\nimport { compose as composeTransform, create as createTransform, } from '../../transform.js';\nimport { defaultFillStyle, defaultFont, defaultLineCap, defaultLineDash, defaultLineDashOffset, defaultLineJoin, defaultLineWidth, defaultMiterLimit, defaultStrokeStyle, defaultTextAlign, defaultTextBaseline, } from '../canvas.js';\nimport { equals } from '../../array.js';\nimport { intersects } from '../../extent.js';\nimport { transform2D } from '../../geom/flat/transform.js';\nimport { transformGeom2D } from '../../geom/SimpleGeometry.js';\n/**\n * @classdesc\n * A concrete subclass of {@link module:ol/render/VectorContext VectorContext} that implements\n * direct rendering of features and geometries to an HTML5 Canvas context.\n * Instances of this class are created internally by the library and\n * provided to application code as vectorContext member of the\n * {@link module:ol/render/Event~RenderEvent RenderEvent} object associated with postcompose, precompose and\n * render events emitted by layers and maps.\n */\nvar CanvasImmediateRenderer = /** @class */ (function (_super) {\n    __extends(CanvasImmediateRenderer, _super);\n    /**\n     * @param {CanvasRenderingContext2D} context Context.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../../extent.js\").Extent} extent Extent.\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     * @param {number} viewRotation View rotation.\n     * @param {number} [opt_squaredTolerance] Optional squared tolerance for simplification.\n     * @param {import(\"../../proj.js\").TransformFunction} [opt_userTransform] Transform from user to view projection.\n     */\n    function CanvasImmediateRenderer(context, pixelRatio, extent, transform, viewRotation, opt_squaredTolerance, opt_userTransform) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {CanvasRenderingContext2D}\n         */\n        _this.context_ = context;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.pixelRatio_ = pixelRatio;\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.extent_ = extent;\n        /**\n         * @private\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.transform_ = transform;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.viewRotation_ = viewRotation;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.squaredTolerance_ = opt_squaredTolerance;\n        /**\n         * @private\n         * @type {import(\"../../proj.js\").TransformFunction}\n         */\n        _this.userTransform_ = opt_userTransform;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").FillState}\n         */\n        _this.contextFillState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").StrokeState}\n         */\n        _this.contextStrokeState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").TextState}\n         */\n        _this.contextTextState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").FillState}\n         */\n        _this.fillState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").StrokeState}\n         */\n        _this.strokeState_ = null;\n        /**\n         * @private\n         * @type {HTMLCanvasElement|HTMLVideoElement|HTMLImageElement}\n         */\n        _this.image_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageAnchorX_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageAnchorY_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageHeight_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageOpacity_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageOriginX_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageOriginY_ = 0;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.imageRotateWithView_ = false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageRotation_ = 0;\n        /**\n         * @private\n         * @type {import(\"../../size.js\").Size}\n         */\n        _this.imageScale_ = [0, 0];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.imageWidth_ = 0;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.text_ = '';\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textOffsetX_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textOffsetY_ = 0;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.textRotateWithView_ = false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.textRotation_ = 0;\n        /**\n         * @private\n         * @type {import(\"../../size.js\").Size}\n         */\n        _this.textScale_ = [0, 0];\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").FillState}\n         */\n        _this.textFillState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").StrokeState}\n         */\n        _this.textStrokeState_ = null;\n        /**\n         * @private\n         * @type {?import(\"../canvas.js\").TextState}\n         */\n        _this.textState_ = null;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.pixelCoordinates_ = [];\n        /**\n         * @private\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.tmpLocalTransform_ = createTransform();\n        return _this;\n    }\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {number} end End.\n     * @param {number} stride Stride.\n     * @private\n     */\n    CanvasImmediateRenderer.prototype.drawImages_ = function (flatCoordinates, offset, end, stride) {\n        if (!this.image_) {\n            return;\n        }\n        var pixelCoordinates = transform2D(flatCoordinates, offset, end, stride, this.transform_, this.pixelCoordinates_);\n        var context = this.context_;\n        var localTransform = this.tmpLocalTransform_;\n        var alpha = context.globalAlpha;\n        if (this.imageOpacity_ != 1) {\n            context.globalAlpha = alpha * this.imageOpacity_;\n        }\n        var rotation = this.imageRotation_;\n        if (this.imageRotateWithView_) {\n            rotation += this.viewRotation_;\n        }\n        for (var i = 0, ii = pixelCoordinates.length; i < ii; i += 2) {\n            var x = pixelCoordinates[i] - this.imageAnchorX_;\n            var y = pixelCoordinates[i + 1] - this.imageAnchorY_;\n            if (rotation !== 0 ||\n                this.imageScale_[0] != 1 ||\n                this.imageScale_[1] != 1) {\n                var centerX = x + this.imageAnchorX_;\n                var centerY = y + this.imageAnchorY_;\n                composeTransform(localTransform, centerX, centerY, 1, 1, rotation, -centerX, -centerY);\n                context.setTransform.apply(context, localTransform);\n                context.translate(centerX, centerY);\n                context.scale(this.imageScale_[0], this.imageScale_[1]);\n                context.drawImage(this.image_, this.imageOriginX_, this.imageOriginY_, this.imageWidth_, this.imageHeight_, -this.imageAnchorX_, -this.imageAnchorY_, this.imageWidth_, this.imageHeight_);\n                context.setTransform(1, 0, 0, 1, 0, 0);\n            }\n            else {\n                context.drawImage(this.image_, this.imageOriginX_, this.imageOriginY_, this.imageWidth_, this.imageHeight_, x, y, this.imageWidth_, this.imageHeight_);\n            }\n        }\n        if (this.imageOpacity_ != 1) {\n            context.globalAlpha = alpha;\n        }\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {number} end End.\n     * @param {number} stride Stride.\n     * @private\n     */\n    CanvasImmediateRenderer.prototype.drawText_ = function (flatCoordinates, offset, end, stride) {\n        if (!this.textState_ || this.text_ === '') {\n            return;\n        }\n        if (this.textFillState_) {\n            this.setContextFillState_(this.textFillState_);\n        }\n        if (this.textStrokeState_) {\n            this.setContextStrokeState_(this.textStrokeState_);\n        }\n        this.setContextTextState_(this.textState_);\n        var pixelCoordinates = transform2D(flatCoordinates, offset, end, stride, this.transform_, this.pixelCoordinates_);\n        var context = this.context_;\n        var rotation = this.textRotation_;\n        if (this.textRotateWithView_) {\n            rotation += this.viewRotation_;\n        }\n        for (; offset < end; offset += stride) {\n            var x = pixelCoordinates[offset] + this.textOffsetX_;\n            var y = pixelCoordinates[offset + 1] + this.textOffsetY_;\n            if (rotation !== 0 ||\n                this.textScale_[0] != 1 ||\n                this.textScale_[1] != 1) {\n                var localTransform = composeTransform(this.tmpLocalTransform_, x, y, 1, 1, rotation, -x, -y);\n                context.setTransform.apply(context, localTransform);\n                context.translate(x, y);\n                context.scale(this.textScale_[0], this.textScale_[1]);\n                if (this.textStrokeState_) {\n                    context.strokeText(this.text_, 0, 0);\n                }\n                if (this.textFillState_) {\n                    context.fillText(this.text_, 0, 0);\n                }\n                context.setTransform(1, 0, 0, 1, 0, 0);\n            }\n            else {\n                if (this.textStrokeState_) {\n                    context.strokeText(this.text_, x, y);\n                }\n                if (this.textFillState_) {\n                    context.fillText(this.text_, x, y);\n                }\n            }\n        }\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {number} end End.\n     * @param {number} stride Stride.\n     * @param {boolean} close Close.\n     * @private\n     * @return {number} end End.\n     */\n    CanvasImmediateRenderer.prototype.moveToLineTo_ = function (flatCoordinates, offset, end, stride, close) {\n        var context = this.context_;\n        var pixelCoordinates = transform2D(flatCoordinates, offset, end, stride, this.transform_, this.pixelCoordinates_);\n        context.moveTo(pixelCoordinates[0], pixelCoordinates[1]);\n        var length = pixelCoordinates.length;\n        if (close) {\n            length -= 2;\n        }\n        for (var i = 2; i < length; i += 2) {\n            context.lineTo(pixelCoordinates[i], pixelCoordinates[i + 1]);\n        }\n        if (close) {\n            context.closePath();\n        }\n        return end;\n    };\n    /**\n     * @param {Array<number>} flatCoordinates Flat coordinates.\n     * @param {number} offset Offset.\n     * @param {Array<number>} ends Ends.\n     * @param {number} stride Stride.\n     * @private\n     * @return {number} End.\n     */\n    CanvasImmediateRenderer.prototype.drawRings_ = function (flatCoordinates, offset, ends, stride) {\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            offset = this.moveToLineTo_(flatCoordinates, offset, ends[i], stride, true);\n        }\n        return offset;\n    };\n    /**\n     * Render a circle geometry into the canvas.  Rendering is immediate and uses\n     * the current fill and stroke styles.\n     *\n     * @param {import(\"../../geom/Circle.js\").default} geometry Circle geometry.\n     * @api\n     */\n    CanvasImmediateRenderer.prototype.drawCircle = function (geometry) {\n        if (!intersects(this.extent_, geometry.getExtent())) {\n            return;\n        }\n        if (this.fillState_ || this.strokeState_) {\n            if (this.fillState_) {\n                this.setContextFillState_(this.fillState_);\n            }\n            if (this.strokeState_) {\n                this.setContextStrokeState_(this.strokeState_);\n            }\n            var pixelCoordinates = transformGeom2D(geometry, this.transform_, this.pixelCoordinates_);\n            var dx = pixelCoordinates[2] - pixelCoordinates[0];\n            var dy = pixelCoordinates[3] - pixelCoordinates[1];\n            var radius = Math.sqrt(dx * dx + dy * dy);\n            var context = this.context_;\n            context.beginPath();\n            context.arc(pixelCoordinates[0], pixelCoordinates[1], radius, 0, 2 * Math.PI);\n            if (this.fillState_) {\n                context.fill();\n            }\n            if (this.strokeState_) {\n                context.stroke();\n            }\n        }\n        if (this.text_ !== '') {\n            this.drawText_(geometry.getCenter(), 0, 2, 2);\n        }\n    };\n    /**\n     * Set the rendering style.  Note that since this is an immediate rendering API,\n     * any `zIndex` on the provided style will be ignored.\n     *\n     * @param {import(\"../../style/Style.js\").default} style The rendering style.\n     * @api\n     */\n    CanvasImmediateRenderer.prototype.setStyle = function (style) {\n        this.setFillStrokeStyle(style.getFill(), style.getStroke());\n        this.setImageStyle(style.getImage());\n        this.setTextStyle(style.getText());\n    };\n    /**\n     * @param {import(\"../../transform.js\").Transform} transform Transform.\n     */\n    CanvasImmediateRenderer.prototype.setTransform = function (transform) {\n        this.transform_ = transform;\n    };\n    /**\n     * Render a geometry into the canvas.  Call\n     * {@link module:ol/render/canvas/Immediate~CanvasImmediateRenderer#setStyle renderer.setStyle()} first to set the rendering style.\n     *\n     * @param {import(\"../../geom/Geometry.js\").default|import(\"../Feature.js\").default} geometry The geometry to render.\n     * @api\n     */\n    CanvasImmediateRenderer.prototype.drawGeometry = function (geometry) {\n        var type = geometry.getType();\n        switch (type) {\n            case GeometryType.POINT:\n                this.drawPoint(\n                /** @type {import(\"../../geom/Point.js\").default} */ (geometry));\n                break;\n            case GeometryType.LINE_STRING:\n                this.drawLineString(\n                /** @type {import(\"../../geom/LineString.js\").default} */ (geometry));\n                break;\n            case GeometryType.POLYGON:\n                this.drawPolygon(\n                /** @type {import(\"../../geom/Polygon.js\").default} */ (geometry));\n                break;\n            case GeometryType.MULTI_POINT:\n                this.drawMultiPoint(\n                /** @type {import(\"../../geom/MultiPoint.js\").default} */ (geometry));\n                break;\n            case GeometryType.MULTI_LINE_STRING:\n                this.drawMultiLineString(\n                /** @type {import(\"../../geom/MultiLineString.js\").default} */ (geometry));\n                break;\n            case GeometryType.MULTI_POLYGON:\n                this.drawMultiPolygon(\n                /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry));\n                break;\n            case GeometryType.GEOMETRY_COLLECTION:\n                this.drawGeometryCollection(\n                /** @type {import(\"../../geom/GeometryCollection.js\").default} */ (geometry));\n                break;\n            case GeometryType.CIRCLE:\n                this.drawCircle(\n                /** @type {import(\"../../geom/Circle.js\").default} */ (geometry));\n                break;\n            default:\n        }\n    };\n    /**\n     * Render a feature into the canvas.  Note that any `zIndex` on the provided\n     * style will be ignored - features are rendered immediately in the order that\n     * this method is called.  If you need `zIndex` support, you should be using an\n     * {@link module:ol/layer/Vector~VectorLayer VectorLayer} instead.\n     *\n     * @param {import(\"../../Feature.js\").default} feature Feature.\n     * @param {import(\"../../style/Style.js\").default} style Style.\n     * @api\n     */\n    CanvasImmediateRenderer.prototype.drawFeature = function (feature, style) {\n        var geometry = style.getGeometryFunction()(feature);\n        if (!geometry || !intersects(this.extent_, geometry.getExtent())) {\n            return;\n        }\n        this.setStyle(style);\n        this.drawGeometry(geometry);\n    };\n    /**\n     * Render a GeometryCollection to the canvas.  Rendering is immediate and\n     * uses the current styles appropriate for each geometry in the collection.\n     *\n     * @param {import(\"../../geom/GeometryCollection.js\").default} geometry Geometry collection.\n     */\n    CanvasImmediateRenderer.prototype.drawGeometryCollection = function (geometry) {\n        var geometries = geometry.getGeometriesArray();\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            this.drawGeometry(geometries[i]);\n        }\n    };\n    /**\n     * Render a Point geometry into the canvas.  Rendering is immediate and uses\n     * the current style.\n     *\n     * @param {import(\"../../geom/Point.js\").default|import(\"../Feature.js\").default} geometry Point geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawPoint = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry = /** @type {import(\"../../geom/Point.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        var flatCoordinates = geometry.getFlatCoordinates();\n        var stride = geometry.getStride();\n        if (this.image_) {\n            this.drawImages_(flatCoordinates, 0, flatCoordinates.length, stride);\n        }\n        if (this.text_ !== '') {\n            this.drawText_(flatCoordinates, 0, flatCoordinates.length, stride);\n        }\n    };\n    /**\n     * Render a MultiPoint geometry  into the canvas.  Rendering is immediate and\n     * uses the current style.\n     *\n     * @param {import(\"../../geom/MultiPoint.js\").default|import(\"../Feature.js\").default} geometry MultiPoint geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawMultiPoint = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry = /** @type {import(\"../../geom/MultiPoint.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        var flatCoordinates = geometry.getFlatCoordinates();\n        var stride = geometry.getStride();\n        if (this.image_) {\n            this.drawImages_(flatCoordinates, 0, flatCoordinates.length, stride);\n        }\n        if (this.text_ !== '') {\n            this.drawText_(flatCoordinates, 0, flatCoordinates.length, stride);\n        }\n    };\n    /**\n     * Render a LineString into the canvas.  Rendering is immediate and uses\n     * the current style.\n     *\n     * @param {import(\"../../geom/LineString.js\").default|import(\"../Feature.js\").default} geometry LineString geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawLineString = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry = /** @type {import(\"../../geom/LineString.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        if (!intersects(this.extent_, geometry.getExtent())) {\n            return;\n        }\n        if (this.strokeState_) {\n            this.setContextStrokeState_(this.strokeState_);\n            var context = this.context_;\n            var flatCoordinates = geometry.getFlatCoordinates();\n            context.beginPath();\n            this.moveToLineTo_(flatCoordinates, 0, flatCoordinates.length, geometry.getStride(), false);\n            context.stroke();\n        }\n        if (this.text_ !== '') {\n            var flatMidpoint = geometry.getFlatMidpoint();\n            this.drawText_(flatMidpoint, 0, 2, 2);\n        }\n    };\n    /**\n     * Render a MultiLineString geometry into the canvas.  Rendering is immediate\n     * and uses the current style.\n     *\n     * @param {import(\"../../geom/MultiLineString.js\").default|import(\"../Feature.js\").default} geometry MultiLineString geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawMultiLineString = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry =\n                /** @type {import(\"../../geom/MultiLineString.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        var geometryExtent = geometry.getExtent();\n        if (!intersects(this.extent_, geometryExtent)) {\n            return;\n        }\n        if (this.strokeState_) {\n            this.setContextStrokeState_(this.strokeState_);\n            var context = this.context_;\n            var flatCoordinates = geometry.getFlatCoordinates();\n            var offset = 0;\n            var ends = /** @type {Array<number>} */ (geometry.getEnds());\n            var stride = geometry.getStride();\n            context.beginPath();\n            for (var i = 0, ii = ends.length; i < ii; ++i) {\n                offset = this.moveToLineTo_(flatCoordinates, offset, ends[i], stride, false);\n            }\n            context.stroke();\n        }\n        if (this.text_ !== '') {\n            var flatMidpoints = geometry.getFlatMidpoints();\n            this.drawText_(flatMidpoints, 0, flatMidpoints.length, 2);\n        }\n    };\n    /**\n     * Render a Polygon geometry into the canvas.  Rendering is immediate and uses\n     * the current style.\n     *\n     * @param {import(\"../../geom/Polygon.js\").default|import(\"../Feature.js\").default} geometry Polygon geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawPolygon = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry = /** @type {import(\"../../geom/Polygon.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        if (!intersects(this.extent_, geometry.getExtent())) {\n            return;\n        }\n        if (this.strokeState_ || this.fillState_) {\n            if (this.fillState_) {\n                this.setContextFillState_(this.fillState_);\n            }\n            if (this.strokeState_) {\n                this.setContextStrokeState_(this.strokeState_);\n            }\n            var context = this.context_;\n            context.beginPath();\n            this.drawRings_(geometry.getOrientedFlatCoordinates(), 0, \n            /** @type {Array<number>} */ (geometry.getEnds()), geometry.getStride());\n            if (this.fillState_) {\n                context.fill();\n            }\n            if (this.strokeState_) {\n                context.stroke();\n            }\n        }\n        if (this.text_ !== '') {\n            var flatInteriorPoint = geometry.getFlatInteriorPoint();\n            this.drawText_(flatInteriorPoint, 0, 2, 2);\n        }\n    };\n    /**\n     * Render MultiPolygon geometry into the canvas.  Rendering is immediate and\n     * uses the current style.\n     * @param {import(\"../../geom/MultiPolygon.js\").default} geometry MultiPolygon geometry.\n     */\n    CanvasImmediateRenderer.prototype.drawMultiPolygon = function (geometry) {\n        if (this.squaredTolerance_) {\n            geometry = /** @type {import(\"../../geom/MultiPolygon.js\").default} */ (geometry.simplifyTransformed(this.squaredTolerance_, this.userTransform_));\n        }\n        if (!intersects(this.extent_, geometry.getExtent())) {\n            return;\n        }\n        if (this.strokeState_ || this.fillState_) {\n            if (this.fillState_) {\n                this.setContextFillState_(this.fillState_);\n            }\n            if (this.strokeState_) {\n                this.setContextStrokeState_(this.strokeState_);\n            }\n            var context = this.context_;\n            var flatCoordinates = geometry.getOrientedFlatCoordinates();\n            var offset = 0;\n            var endss = geometry.getEndss();\n            var stride = geometry.getStride();\n            context.beginPath();\n            for (var i = 0, ii = endss.length; i < ii; ++i) {\n                var ends = endss[i];\n                offset = this.drawRings_(flatCoordinates, offset, ends, stride);\n            }\n            if (this.fillState_) {\n                context.fill();\n            }\n            if (this.strokeState_) {\n                context.stroke();\n            }\n        }\n        if (this.text_ !== '') {\n            var flatInteriorPoints = geometry.getFlatInteriorPoints();\n            this.drawText_(flatInteriorPoints, 0, flatInteriorPoints.length, 2);\n        }\n    };\n    /**\n     * @param {import(\"../canvas.js\").FillState} fillState Fill state.\n     * @private\n     */\n    CanvasImmediateRenderer.prototype.setContextFillState_ = function (fillState) {\n        var context = this.context_;\n        var contextFillState = this.contextFillState_;\n        if (!contextFillState) {\n            context.fillStyle = fillState.fillStyle;\n            this.contextFillState_ = {\n                fillStyle: fillState.fillStyle,\n            };\n        }\n        else {\n            if (contextFillState.fillStyle != fillState.fillStyle) {\n                contextFillState.fillStyle = fillState.fillStyle;\n                context.fillStyle = fillState.fillStyle;\n            }\n        }\n    };\n    /**\n     * @param {import(\"../canvas.js\").StrokeState} strokeState Stroke state.\n     * @private\n     */\n    CanvasImmediateRenderer.prototype.setContextStrokeState_ = function (strokeState) {\n        var context = this.context_;\n        var contextStrokeState = this.contextStrokeState_;\n        if (!contextStrokeState) {\n            context.lineCap = strokeState.lineCap;\n            if (context.setLineDash) {\n                context.setLineDash(strokeState.lineDash);\n                context.lineDashOffset = strokeState.lineDashOffset;\n            }\n            context.lineJoin = strokeState.lineJoin;\n            context.lineWidth = strokeState.lineWidth;\n            context.miterLimit = strokeState.miterLimit;\n            context.strokeStyle = strokeState.strokeStyle;\n            this.contextStrokeState_ = {\n                lineCap: strokeState.lineCap,\n                lineDash: strokeState.lineDash,\n                lineDashOffset: strokeState.lineDashOffset,\n                lineJoin: strokeState.lineJoin,\n                lineWidth: strokeState.lineWidth,\n                miterLimit: strokeState.miterLimit,\n                strokeStyle: strokeState.strokeStyle,\n            };\n        }\n        else {\n            if (contextStrokeState.lineCap != strokeState.lineCap) {\n                contextStrokeState.lineCap = strokeState.lineCap;\n                context.lineCap = strokeState.lineCap;\n            }\n            if (context.setLineDash) {\n                if (!equals(contextStrokeState.lineDash, strokeState.lineDash)) {\n                    context.setLineDash((contextStrokeState.lineDash = strokeState.lineDash));\n                }\n                if (contextStrokeState.lineDashOffset != strokeState.lineDashOffset) {\n                    contextStrokeState.lineDashOffset = strokeState.lineDashOffset;\n                    context.lineDashOffset = strokeState.lineDashOffset;\n                }\n            }\n            if (contextStrokeState.lineJoin != strokeState.lineJoin) {\n                contextStrokeState.lineJoin = strokeState.lineJoin;\n                context.lineJoin = strokeState.lineJoin;\n            }\n            if (contextStrokeState.lineWidth != strokeState.lineWidth) {\n                contextStrokeState.lineWidth = strokeState.lineWidth;\n                context.lineWidth = strokeState.lineWidth;\n            }\n            if (contextStrokeState.miterLimit != strokeState.miterLimit) {\n                contextStrokeState.miterLimit = strokeState.miterLimit;\n                context.miterLimit = strokeState.miterLimit;\n            }\n            if (contextStrokeState.strokeStyle != strokeState.strokeStyle) {\n                contextStrokeState.strokeStyle = strokeState.strokeStyle;\n                context.strokeStyle = strokeState.strokeStyle;\n            }\n        }\n    };\n    /**\n     * @param {import(\"../canvas.js\").TextState} textState Text state.\n     * @private\n     */\n    CanvasImmediateRenderer.prototype.setContextTextState_ = function (textState) {\n        var context = this.context_;\n        var contextTextState = this.contextTextState_;\n        var textAlign = textState.textAlign\n            ? textState.textAlign\n            : defaultTextAlign;\n        if (!contextTextState) {\n            context.font = textState.font;\n            context.textAlign = /** @type {CanvasTextAlign} */ (textAlign);\n            context.textBaseline = /** @type {CanvasTextBaseline} */ (textState.textBaseline);\n            this.contextTextState_ = {\n                font: textState.font,\n                textAlign: textAlign,\n                textBaseline: textState.textBaseline,\n            };\n        }\n        else {\n            if (contextTextState.font != textState.font) {\n                contextTextState.font = textState.font;\n                context.font = textState.font;\n            }\n            if (contextTextState.textAlign != textAlign) {\n                contextTextState.textAlign = /** @type {CanvasTextAlign} */ (textAlign);\n                context.textAlign = /** @type {CanvasTextAlign} */ (textAlign);\n            }\n            if (contextTextState.textBaseline != textState.textBaseline) {\n                contextTextState.textBaseline = /** @type {CanvasTextBaseline} */ (textState.textBaseline);\n                context.textBaseline = /** @type {CanvasTextBaseline} */ (textState.textBaseline);\n            }\n        }\n    };\n    /**\n     * Set the fill and stroke style for subsequent draw operations.  To clear\n     * either fill or stroke styles, pass null for the appropriate parameter.\n     *\n     * @param {import(\"../../style/Fill.js\").default} fillStyle Fill style.\n     * @param {import(\"../../style/Stroke.js\").default} strokeStyle Stroke style.\n     */\n    CanvasImmediateRenderer.prototype.setFillStrokeStyle = function (fillStyle, strokeStyle) {\n        var _this = this;\n        if (!fillStyle) {\n            this.fillState_ = null;\n        }\n        else {\n            var fillStyleColor = fillStyle.getColor();\n            this.fillState_ = {\n                fillStyle: asColorLike(fillStyleColor ? fillStyleColor : defaultFillStyle),\n            };\n        }\n        if (!strokeStyle) {\n            this.strokeState_ = null;\n        }\n        else {\n            var strokeStyleColor = strokeStyle.getColor();\n            var strokeStyleLineCap = strokeStyle.getLineCap();\n            var strokeStyleLineDash = strokeStyle.getLineDash();\n            var strokeStyleLineDashOffset = strokeStyle.getLineDashOffset();\n            var strokeStyleLineJoin = strokeStyle.getLineJoin();\n            var strokeStyleWidth = strokeStyle.getWidth();\n            var strokeStyleMiterLimit = strokeStyle.getMiterLimit();\n            var lineDash = strokeStyleLineDash\n                ? strokeStyleLineDash\n                : defaultLineDash;\n            this.strokeState_ = {\n                lineCap: strokeStyleLineCap !== undefined\n                    ? strokeStyleLineCap\n                    : defaultLineCap,\n                lineDash: this.pixelRatio_ === 1\n                    ? lineDash\n                    : lineDash.map(function (n) { return n * _this.pixelRatio_; }),\n                lineDashOffset: (strokeStyleLineDashOffset\n                    ? strokeStyleLineDashOffset\n                    : defaultLineDashOffset) * this.pixelRatio_,\n                lineJoin: strokeStyleLineJoin !== undefined\n                    ? strokeStyleLineJoin\n                    : defaultLineJoin,\n                lineWidth: (strokeStyleWidth !== undefined\n                    ? strokeStyleWidth\n                    : defaultLineWidth) * this.pixelRatio_,\n                miterLimit: strokeStyleMiterLimit !== undefined\n                    ? strokeStyleMiterLimit\n                    : defaultMiterLimit,\n                strokeStyle: asColorLike(strokeStyleColor ? strokeStyleColor : defaultStrokeStyle),\n            };\n        }\n    };\n    /**\n     * Set the image style for subsequent draw operations.  Pass null to remove\n     * the image style.\n     *\n     * @param {import(\"../../style/Image.js\").default} imageStyle Image style.\n     */\n    CanvasImmediateRenderer.prototype.setImageStyle = function (imageStyle) {\n        var imageSize;\n        if (!imageStyle || !(imageSize = imageStyle.getSize())) {\n            this.image_ = null;\n            return;\n        }\n        var imageAnchor = imageStyle.getAnchor();\n        var imageOrigin = imageStyle.getOrigin();\n        this.image_ = imageStyle.getImage(this.pixelRatio_);\n        this.imageAnchorX_ = imageAnchor[0] * this.pixelRatio_;\n        this.imageAnchorY_ = imageAnchor[1] * this.pixelRatio_;\n        this.imageHeight_ = imageSize[1] * this.pixelRatio_;\n        this.imageOpacity_ = imageStyle.getOpacity();\n        this.imageOriginX_ = imageOrigin[0];\n        this.imageOriginY_ = imageOrigin[1];\n        this.imageRotateWithView_ = imageStyle.getRotateWithView();\n        this.imageRotation_ = imageStyle.getRotation();\n        this.imageScale_ = imageStyle.getScaleArray();\n        this.imageWidth_ = imageSize[0] * this.pixelRatio_;\n    };\n    /**\n     * Set the text style for subsequent draw operations.  Pass null to\n     * remove the text style.\n     *\n     * @param {import(\"../../style/Text.js\").default} textStyle Text style.\n     */\n    CanvasImmediateRenderer.prototype.setTextStyle = function (textStyle) {\n        if (!textStyle) {\n            this.text_ = '';\n        }\n        else {\n            var textFillStyle = textStyle.getFill();\n            if (!textFillStyle) {\n                this.textFillState_ = null;\n            }\n            else {\n                var textFillStyleColor = textFillStyle.getColor();\n                this.textFillState_ = {\n                    fillStyle: asColorLike(textFillStyleColor ? textFillStyleColor : defaultFillStyle),\n                };\n            }\n            var textStrokeStyle = textStyle.getStroke();\n            if (!textStrokeStyle) {\n                this.textStrokeState_ = null;\n            }\n            else {\n                var textStrokeStyleColor = textStrokeStyle.getColor();\n                var textStrokeStyleLineCap = textStrokeStyle.getLineCap();\n                var textStrokeStyleLineDash = textStrokeStyle.getLineDash();\n                var textStrokeStyleLineDashOffset = textStrokeStyle.getLineDashOffset();\n                var textStrokeStyleLineJoin = textStrokeStyle.getLineJoin();\n                var textStrokeStyleWidth = textStrokeStyle.getWidth();\n                var textStrokeStyleMiterLimit = textStrokeStyle.getMiterLimit();\n                this.textStrokeState_ = {\n                    lineCap: textStrokeStyleLineCap !== undefined\n                        ? textStrokeStyleLineCap\n                        : defaultLineCap,\n                    lineDash: textStrokeStyleLineDash\n                        ? textStrokeStyleLineDash\n                        : defaultLineDash,\n                    lineDashOffset: textStrokeStyleLineDashOffset\n                        ? textStrokeStyleLineDashOffset\n                        : defaultLineDashOffset,\n                    lineJoin: textStrokeStyleLineJoin !== undefined\n                        ? textStrokeStyleLineJoin\n                        : defaultLineJoin,\n                    lineWidth: textStrokeStyleWidth !== undefined\n                        ? textStrokeStyleWidth\n                        : defaultLineWidth,\n                    miterLimit: textStrokeStyleMiterLimit !== undefined\n                        ? textStrokeStyleMiterLimit\n                        : defaultMiterLimit,\n                    strokeStyle: asColorLike(textStrokeStyleColor ? textStrokeStyleColor : defaultStrokeStyle),\n                };\n            }\n            var textFont = textStyle.getFont();\n            var textOffsetX = textStyle.getOffsetX();\n            var textOffsetY = textStyle.getOffsetY();\n            var textRotateWithView = textStyle.getRotateWithView();\n            var textRotation = textStyle.getRotation();\n            var textScale = textStyle.getScaleArray();\n            var textText = textStyle.getText();\n            var textTextAlign = textStyle.getTextAlign();\n            var textTextBaseline = textStyle.getTextBaseline();\n            this.textState_ = {\n                font: textFont !== undefined ? textFont : defaultFont,\n                textAlign: textTextAlign !== undefined ? textTextAlign : defaultTextAlign,\n                textBaseline: textTextBaseline !== undefined\n                    ? textTextBaseline\n                    : defaultTextBaseline,\n            };\n            this.text_ = textText !== undefined ? textText : '';\n            this.textOffsetX_ =\n                textOffsetX !== undefined ? this.pixelRatio_ * textOffsetX : 0;\n            this.textOffsetY_ =\n                textOffsetY !== undefined ? this.pixelRatio_ * textOffsetY : 0;\n            this.textRotateWithView_ =\n                textRotateWithView !== undefined ? textRotateWithView : false;\n            this.textRotation_ = textRotation !== undefined ? textRotation : 0;\n            this.textScale_ = [\n                this.pixelRatio_ * textScale[0],\n                this.pixelRatio_ * textScale[1],\n            ];\n        }\n    };\n    return CanvasImmediateRenderer;\n}(VectorContext));\nexport default CanvasImmediateRenderer;\n//# sourceMappingURL=Immediate.js.map","/**\n * @module ol/style/IconAnchorUnits\n */\n/**\n * Icon anchor units. One of 'fraction', 'pixels'.\n * @enum {string}\n */\nexport default {\n    /**\n     * Anchor is a fraction\n     * @api\n     */\n    FRACTION: 'fraction',\n    /**\n     * Anchor is in pixels\n     * @api\n     */\n    PIXELS: 'pixels',\n};\n//# sourceMappingURL=IconAnchorUnits.js.map","/**\n * @module ol/style/IconOrigin\n */\n/**\n * Icon origin. One of 'bottom-left', 'bottom-right', 'top-left', 'top-right'.\n * @enum {string}\n */\nexport default {\n    /**\n     * Origin is at bottom left\n     * @api\n     */\n    BOTTOM_LEFT: 'bottom-left',\n    /**\n     * Origin is at bottom right\n     * @api\n     */\n    BOTTOM_RIGHT: 'bottom-right',\n    /**\n     * Origin is at top left\n     * @api\n     */\n    TOP_LEFT: 'top-left',\n    /**\n     * Origin is at top right\n     * @api\n     */\n    TOP_RIGHT: 'top-right',\n};\n//# sourceMappingURL=IconOrigin.js.map","/**\n * @module ol/style/IconImageCache\n */\nimport { asString } from '../color.js';\n/**\n * @classdesc\n * Singleton class. Available through {@link module:ol/style/IconImageCache~shared}.\n */\nvar IconImageCache = /** @class */ (function () {\n    function IconImageCache() {\n        /**\n         * @type {!Object<string, import(\"./IconImage.js\").default>}\n         * @private\n         */\n        this.cache_ = {};\n        /**\n         * @type {number}\n         * @private\n         */\n        this.cacheSize_ = 0;\n        /**\n         * @type {number}\n         * @private\n         */\n        this.maxCacheSize_ = 32;\n    }\n    /**\n     * FIXME empty description for jsdoc\n     */\n    IconImageCache.prototype.clear = function () {\n        this.cache_ = {};\n        this.cacheSize_ = 0;\n    };\n    /**\n     * @return {boolean} Can expire cache.\n     */\n    IconImageCache.prototype.canExpireCache = function () {\n        return this.cacheSize_ > this.maxCacheSize_;\n    };\n    /**\n     * FIXME empty description for jsdoc\n     */\n    IconImageCache.prototype.expire = function () {\n        if (this.canExpireCache()) {\n            var i = 0;\n            for (var key in this.cache_) {\n                var iconImage = this.cache_[key];\n                if ((i++ & 3) === 0 && !iconImage.hasListener()) {\n                    delete this.cache_[key];\n                    --this.cacheSize_;\n                }\n            }\n        }\n    };\n    /**\n     * @param {string} src Src.\n     * @param {?string} crossOrigin Cross origin.\n     * @param {import(\"../color.js\").Color} color Color.\n     * @return {import(\"./IconImage.js\").default} Icon image.\n     */\n    IconImageCache.prototype.get = function (src, crossOrigin, color) {\n        var key = getKey(src, crossOrigin, color);\n        return key in this.cache_ ? this.cache_[key] : null;\n    };\n    /**\n     * @param {string} src Src.\n     * @param {?string} crossOrigin Cross origin.\n     * @param {import(\"../color.js\").Color} color Color.\n     * @param {import(\"./IconImage.js\").default} iconImage Icon image.\n     */\n    IconImageCache.prototype.set = function (src, crossOrigin, color, iconImage) {\n        var key = getKey(src, crossOrigin, color);\n        this.cache_[key] = iconImage;\n        ++this.cacheSize_;\n    };\n    /**\n     * Set the cache size of the icon cache. Default is `32`. Change this value when\n     * your map uses more than 32 different icon images and you are not caching icon\n     * styles on the application level.\n     * @param {number} maxCacheSize Cache max size.\n     * @api\n     */\n    IconImageCache.prototype.setSize = function (maxCacheSize) {\n        this.maxCacheSize_ = maxCacheSize;\n        this.expire();\n    };\n    return IconImageCache;\n}());\n/**\n * @param {string} src Src.\n * @param {?string} crossOrigin Cross origin.\n * @param {import(\"../color.js\").Color} color Color.\n * @return {string} Cache key.\n */\nfunction getKey(src, crossOrigin, color) {\n    var colorString = color ? asString(color) : 'null';\n    return crossOrigin + ':' + src + ':' + colorString;\n}\nexport default IconImageCache;\n/**\n * The {@link module:ol/style/IconImageCache~IconImageCache} for\n * {@link module:ol/style/Icon~Icon} images.\n * @api\n */\nexport var shared = new IconImageCache();\n//# sourceMappingURL=IconImageCache.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/ImageBase\n */\nimport EventTarget from './events/Target.js';\nimport EventType from './events/EventType.js';\nimport { abstract } from './util.js';\n/**\n * @abstract\n */\nvar ImageBase = /** @class */ (function (_super) {\n    __extends(ImageBase, _super);\n    /**\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {number|undefined} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"./ImageState.js\").default} state State.\n     */\n    function ImageBase(extent, resolution, pixelRatio, state) {\n        var _this = _super.call(this) || this;\n        /**\n         * @protected\n         * @type {import(\"./extent.js\").Extent}\n         */\n        _this.extent = extent;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.pixelRatio_ = pixelRatio;\n        /**\n         * @protected\n         * @type {number|undefined}\n         */\n        _this.resolution = resolution;\n        /**\n         * @protected\n         * @type {import(\"./ImageState.js\").default}\n         */\n        _this.state = state;\n        return _this;\n    }\n    /**\n     * @protected\n     */\n    ImageBase.prototype.changed = function () {\n        this.dispatchEvent(EventType.CHANGE);\n    };\n    /**\n     * @return {import(\"./extent.js\").Extent} Extent.\n     */\n    ImageBase.prototype.getExtent = function () {\n        return this.extent;\n    };\n    /**\n     * @abstract\n     * @return {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} Image.\n     */\n    ImageBase.prototype.getImage = function () {\n        return abstract();\n    };\n    /**\n     * @return {number} PixelRatio.\n     */\n    ImageBase.prototype.getPixelRatio = function () {\n        return this.pixelRatio_;\n    };\n    /**\n     * @return {number} Resolution.\n     */\n    ImageBase.prototype.getResolution = function () {\n        return /** @type {number} */ (this.resolution);\n    };\n    /**\n     * @return {import(\"./ImageState.js\").default} State.\n     */\n    ImageBase.prototype.getState = function () {\n        return this.state;\n    };\n    /**\n     * Load not yet loaded URI.\n     * @abstract\n     */\n    ImageBase.prototype.load = function () {\n        abstract();\n    };\n    return ImageBase;\n}(EventTarget));\nexport default ImageBase;\n//# sourceMappingURL=ImageBase.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Image\n */\nimport EventType from './events/EventType.js';\nimport ImageBase from './ImageBase.js';\nimport ImageState from './ImageState.js';\nimport { IMAGE_DECODE } from './has.js';\nimport { getHeight } from './extent.js';\nimport { listenOnce, unlistenByKey } from './events.js';\n/**\n * A function that takes an {@link module:ol/Image~Image} for the image and a\n * `{string}` for the src as arguments. It is supposed to make it so the\n * underlying image {@link module:ol/Image~Image#getImage} is assigned the\n * content specified by the src. If not specified, the default is\n *\n *     function(image, src) {\n *       image.getImage().src = src;\n *     }\n *\n * Providing a custom `imageLoadFunction` can be useful to load images with\n * post requests or - in general - through XHR requests, where the src of the\n * image element would be set to a data URI when the content is loaded.\n *\n * @typedef {function(ImageWrapper, string): void} LoadFunction\n * @api\n */\nvar ImageWrapper = /** @class */ (function (_super) {\n    __extends(ImageWrapper, _super);\n    /**\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {number|undefined} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {string} src Image source URI.\n     * @param {?string} crossOrigin Cross origin.\n     * @param {LoadFunction} imageLoadFunction Image load function.\n     */\n    function ImageWrapper(extent, resolution, pixelRatio, src, crossOrigin, imageLoadFunction) {\n        var _this = _super.call(this, extent, resolution, pixelRatio, ImageState.IDLE) || this;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.src_ = src;\n        /**\n         * @private\n         * @type {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement}\n         */\n        _this.image_ = new Image();\n        if (crossOrigin !== null) {\n            _this.image_.crossOrigin = crossOrigin;\n        }\n        /**\n         * @private\n         * @type {?function():void}\n         */\n        _this.unlisten_ = null;\n        /**\n         * @protected\n         * @type {import(\"./ImageState.js\").default}\n         */\n        _this.state = ImageState.IDLE;\n        /**\n         * @private\n         * @type {LoadFunction}\n         */\n        _this.imageLoadFunction_ = imageLoadFunction;\n        return _this;\n    }\n    /**\n     * @return {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} Image.\n     * @api\n     */\n    ImageWrapper.prototype.getImage = function () {\n        return this.image_;\n    };\n    /**\n     * Tracks loading or read errors.\n     *\n     * @private\n     */\n    ImageWrapper.prototype.handleImageError_ = function () {\n        this.state = ImageState.ERROR;\n        this.unlistenImage_();\n        this.changed();\n    };\n    /**\n     * Tracks successful image load.\n     *\n     * @private\n     */\n    ImageWrapper.prototype.handleImageLoad_ = function () {\n        if (this.resolution === undefined) {\n            this.resolution = getHeight(this.extent) / this.image_.height;\n        }\n        this.state = ImageState.LOADED;\n        this.unlistenImage_();\n        this.changed();\n    };\n    /**\n     * Load the image or retry if loading previously failed.\n     * Loading is taken care of by the tile queue, and calling this method is\n     * only needed for preloading or for reloading in case of an error.\n     * @api\n     */\n    ImageWrapper.prototype.load = function () {\n        if (this.state == ImageState.IDLE || this.state == ImageState.ERROR) {\n            this.state = ImageState.LOADING;\n            this.changed();\n            this.imageLoadFunction_(this, this.src_);\n            this.unlisten_ = listenImage(this.image_, this.handleImageLoad_.bind(this), this.handleImageError_.bind(this));\n        }\n    };\n    /**\n     * @param {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} image Image.\n     */\n    ImageWrapper.prototype.setImage = function (image) {\n        this.image_ = image;\n        this.resolution = getHeight(this.extent) / this.image_.height;\n    };\n    /**\n     * Discards event handlers which listen for load completion or errors.\n     *\n     * @private\n     */\n    ImageWrapper.prototype.unlistenImage_ = function () {\n        if (this.unlisten_) {\n            this.unlisten_();\n            this.unlisten_ = null;\n        }\n    };\n    return ImageWrapper;\n}(ImageBase));\n/**\n * @param {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} image Image element.\n * @param {function():any} loadHandler Load callback function.\n * @param {function():any} errorHandler Error callback function.\n * @return {function():void} Callback to stop listening.\n */\nexport function listenImage(image, loadHandler, errorHandler) {\n    var img = /** @type {HTMLImageElement} */ (image);\n    var listening = true;\n    var decoding = false;\n    var loaded = false;\n    var listenerKeys = [\n        listenOnce(img, EventType.LOAD, function () {\n            loaded = true;\n            if (!decoding) {\n                loadHandler();\n            }\n        }),\n    ];\n    if (img.src && IMAGE_DECODE) {\n        decoding = true;\n        img\n            .decode()\n            .then(function () {\n            if (listening) {\n                loadHandler();\n            }\n        })\n            .catch(function (error) {\n            if (listening) {\n                if (loaded) {\n                    loadHandler();\n                }\n                else {\n                    errorHandler();\n                }\n            }\n        });\n    }\n    else {\n        listenerKeys.push(listenOnce(img, EventType.ERROR, errorHandler));\n    }\n    return function unlisten() {\n        listening = false;\n        listenerKeys.forEach(unlistenByKey);\n    };\n}\nexport default ImageWrapper;\n//# sourceMappingURL=Image.js.map","/**\n * @module ol/style/IconImage\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport EventTarget from '../events/Target.js';\nimport EventType from '../events/EventType.js';\nimport ImageState from '../ImageState.js';\nimport { asString } from '../color.js';\nimport { createCanvasContext2D } from '../dom.js';\nimport { shared as iconImageCache } from './IconImageCache.js';\nimport { listenImage } from '../Image.js';\n/**\n * @type {CanvasRenderingContext2D}\n */\nvar taintedTestContext = null;\nvar IconImage = /** @class */ (function (_super) {\n    __extends(IconImage, _super);\n    /**\n     * @param {HTMLImageElement|HTMLCanvasElement} image Image.\n     * @param {string|undefined} src Src.\n     * @param {import(\"../size.js\").Size} size Size.\n     * @param {?string} crossOrigin Cross origin.\n     * @param {import(\"../ImageState.js\").default} imageState Image state.\n     * @param {import(\"../color.js\").Color} color Color.\n     */\n    function IconImage(image, src, size, crossOrigin, imageState, color) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {HTMLImageElement|HTMLCanvasElement}\n         */\n        _this.hitDetectionImage_ = null;\n        /**\n         * @private\n         * @type {HTMLImageElement|HTMLCanvasElement}\n         */\n        _this.image_ = !image ? new Image() : image;\n        if (crossOrigin !== null) {\n            /** @type {HTMLImageElement} */ (_this.image_).crossOrigin = crossOrigin;\n        }\n        /**\n         * @private\n         * @type {Object<number, HTMLCanvasElement>}\n         */\n        _this.canvas_ = {};\n        /**\n         * @private\n         * @type {import(\"../color.js\").Color}\n         */\n        _this.color_ = color;\n        /**\n         * @private\n         * @type {?function():void}\n         */\n        _this.unlisten_ = null;\n        /**\n         * @private\n         * @type {import(\"../ImageState.js\").default}\n         */\n        _this.imageState_ = imageState;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        _this.size_ = size;\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        _this.src_ = src;\n        /**\n         * @private\n         */\n        _this.tainted_;\n        return _this;\n    }\n    /**\n     * @private\n     * @return {boolean} The image canvas is tainted.\n     */\n    IconImage.prototype.isTainted_ = function () {\n        if (this.tainted_ === undefined && this.imageState_ === ImageState.LOADED) {\n            if (!taintedTestContext) {\n                taintedTestContext = createCanvasContext2D(1, 1);\n            }\n            taintedTestContext.drawImage(this.image_, 0, 0);\n            try {\n                taintedTestContext.getImageData(0, 0, 1, 1);\n                this.tainted_ = false;\n            }\n            catch (e) {\n                taintedTestContext = null;\n                this.tainted_ = true;\n            }\n        }\n        return this.tainted_ === true;\n    };\n    /**\n     * @private\n     */\n    IconImage.prototype.dispatchChangeEvent_ = function () {\n        this.dispatchEvent(EventType.CHANGE);\n    };\n    /**\n     * @private\n     */\n    IconImage.prototype.handleImageError_ = function () {\n        this.imageState_ = ImageState.ERROR;\n        this.unlistenImage_();\n        this.dispatchChangeEvent_();\n    };\n    /**\n     * @private\n     */\n    IconImage.prototype.handleImageLoad_ = function () {\n        this.imageState_ = ImageState.LOADED;\n        if (this.size_) {\n            this.image_.width = this.size_[0];\n            this.image_.height = this.size_[1];\n        }\n        else {\n            this.size_ = [this.image_.width, this.image_.height];\n        }\n        this.unlistenImage_();\n        this.dispatchChangeEvent_();\n    };\n    /**\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {HTMLImageElement|HTMLCanvasElement} Image or Canvas element.\n     */\n    IconImage.prototype.getImage = function (pixelRatio) {\n        this.replaceColor_(pixelRatio);\n        return this.canvas_[pixelRatio] ? this.canvas_[pixelRatio] : this.image_;\n    };\n    /**\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Image or Canvas element.\n     */\n    IconImage.prototype.getPixelRatio = function (pixelRatio) {\n        this.replaceColor_(pixelRatio);\n        return this.canvas_[pixelRatio] ? pixelRatio : 1;\n    };\n    /**\n     * @return {import(\"../ImageState.js\").default} Image state.\n     */\n    IconImage.prototype.getImageState = function () {\n        return this.imageState_;\n    };\n    /**\n     * @return {HTMLImageElement|HTMLCanvasElement} Image element.\n     */\n    IconImage.prototype.getHitDetectionImage = function () {\n        if (!this.hitDetectionImage_) {\n            if (this.isTainted_()) {\n                var width = this.size_[0];\n                var height = this.size_[1];\n                var context = createCanvasContext2D(width, height);\n                context.fillRect(0, 0, width, height);\n                this.hitDetectionImage_ = context.canvas;\n            }\n            else {\n                this.hitDetectionImage_ = this.image_;\n            }\n        }\n        return this.hitDetectionImage_;\n    };\n    /**\n     * Get the size of the icon (in pixels).\n     * @return {import(\"../size.js\").Size} Image size.\n     */\n    IconImage.prototype.getSize = function () {\n        return this.size_;\n    };\n    /**\n     * @return {string|undefined} Image src.\n     */\n    IconImage.prototype.getSrc = function () {\n        return this.src_;\n    };\n    /**\n     * Load not yet loaded URI.\n     */\n    IconImage.prototype.load = function () {\n        if (this.imageState_ == ImageState.IDLE) {\n            this.imageState_ = ImageState.LOADING;\n            try {\n                /** @type {HTMLImageElement} */ (this.image_).src = this.src_;\n            }\n            catch (e) {\n                this.handleImageError_();\n            }\n            this.unlisten_ = listenImage(this.image_, this.handleImageLoad_.bind(this), this.handleImageError_.bind(this));\n        }\n    };\n    /**\n     * @param {number} pixelRatio Pixel ratio.\n     * @private\n     */\n    IconImage.prototype.replaceColor_ = function (pixelRatio) {\n        if (!this.color_ ||\n            this.canvas_[pixelRatio] ||\n            this.imageState_ !== ImageState.LOADED) {\n            return;\n        }\n        var canvas = document.createElement('canvas');\n        this.canvas_[pixelRatio] = canvas;\n        canvas.width = Math.ceil(this.image_.width * pixelRatio);\n        canvas.height = Math.ceil(this.image_.height * pixelRatio);\n        var ctx = canvas.getContext('2d');\n        ctx.scale(pixelRatio, pixelRatio);\n        ctx.drawImage(this.image_, 0, 0);\n        ctx.globalCompositeOperation = 'multiply';\n        // Internet Explorer 11 does not support the multiply operation.\n        // If the canvas is tainted in Internet Explorer this still produces\n        // a solid color image with the shape of the icon.\n        if (ctx.globalCompositeOperation === 'multiply' || this.isTainted_()) {\n            ctx.fillStyle = asString(this.color_);\n            ctx.fillRect(0, 0, canvas.width / pixelRatio, canvas.height / pixelRatio);\n            ctx.globalCompositeOperation = 'destination-in';\n            ctx.drawImage(this.image_, 0, 0);\n        }\n        else {\n            var imgData = ctx.getImageData(0, 0, canvas.width, canvas.height);\n            var data = imgData.data;\n            var r = this.color_[0] / 255.0;\n            var g = this.color_[1] / 255.0;\n            var b = this.color_[2] / 255.0;\n            var a = this.color_[3];\n            for (var i = 0, ii = data.length; i < ii; i += 4) {\n                data[i] *= r;\n                data[i + 1] *= g;\n                data[i + 2] *= b;\n                data[i + 3] *= a;\n            }\n            ctx.putImageData(imgData, 0, 0);\n        }\n    };\n    /**\n     * Discards event handlers which listen for load completion or errors.\n     *\n     * @private\n     */\n    IconImage.prototype.unlistenImage_ = function () {\n        if (this.unlisten_) {\n            this.unlisten_();\n            this.unlisten_ = null;\n        }\n    };\n    return IconImage;\n}(EventTarget));\n/**\n * @param {HTMLImageElement|HTMLCanvasElement} image Image.\n * @param {string} src Src.\n * @param {import(\"../size.js\").Size} size Size.\n * @param {?string} crossOrigin Cross origin.\n * @param {import(\"../ImageState.js\").default} imageState Image state.\n * @param {import(\"../color.js\").Color} color Color.\n * @return {IconImage} Icon image.\n */\nexport function get(image, src, size, crossOrigin, imageState, color) {\n    var iconImage = iconImageCache.get(src, crossOrigin, color);\n    if (!iconImage) {\n        iconImage = new IconImage(image, src, size, crossOrigin, imageState, color);\n        iconImageCache.set(src, crossOrigin, color, iconImage);\n    }\n    return iconImage;\n}\nexport default IconImage;\n//# sourceMappingURL=IconImage.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/style/Icon\n */\nimport EventType from '../events/EventType.js';\nimport IconAnchorUnits from './IconAnchorUnits.js';\nimport IconOrigin from './IconOrigin.js';\nimport ImageState from '../ImageState.js';\nimport ImageStyle from './Image.js';\nimport { asArray } from '../color.js';\nimport { assert } from '../asserts.js';\nimport { get as getIconImage } from './IconImage.js';\nimport { getUid } from '../util.js';\n/**\n * @typedef {Object} Options\n * @property {Array<number>} [anchor=[0.5, 0.5]] Anchor. Default value is the icon center.\n * @property {import(\"./IconOrigin.js\").default} [anchorOrigin='top-left'] Origin of the anchor: `bottom-left`, `bottom-right`,\n * `top-left` or `top-right`.\n * @property {import(\"./IconAnchorUnits.js\").default} [anchorXUnits='fraction'] Units in which the anchor x value is\n * specified. A value of `'fraction'` indicates the x value is a fraction of the icon. A value of `'pixels'` indicates\n * the x value in pixels.\n * @property {import(\"./IconAnchorUnits.js\").default} [anchorYUnits='fraction'] Units in which the anchor y value is\n * specified. A value of `'fraction'` indicates the y value is a fraction of the icon. A value of `'pixels'` indicates\n * the y value in pixels.\n * @property {import(\"../color.js\").Color|string} [color] Color to tint the icon. If not specified,\n * the icon will be left as is.\n * @property {null|string} [crossOrigin] The `crossOrigin` attribute for loaded images. Note that you must provide a\n * `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {HTMLImageElement|HTMLCanvasElement} [img] Image object for the icon. If the `src` option is not provided then the\n * provided image must already be loaded. And in that case, it is required\n * to provide the size of the image, with the `imgSize` option.\n * @property {Array<number>} [offset=[0, 0]] Offset, which, together with the size and the offset origin, define the\n * sub-rectangle to use from the original icon image.\n * @property {Array<number>} [displacement=[0,0]] Displacement of the icon.\n * @property {import(\"./IconOrigin.js\").default} [offsetOrigin='top-left'] Origin of the offset: `bottom-left`, `bottom-right`,\n * `top-left` or `top-right`.\n * @property {number} [opacity=1] Opacity of the icon.\n * @property {number|import(\"../size.js\").Size} [scale=1] Scale.\n * @property {boolean} [rotateWithView=false] Whether to rotate the icon with the view.\n * @property {number} [rotation=0] Rotation in radians (positive rotation clockwise).\n * @property {import(\"../size.js\").Size} [size] Icon size in pixel. Can be used together with `offset` to define the\n * sub-rectangle to use from the origin (sprite) icon image.\n * @property {import(\"../size.js\").Size} [imgSize] Image size in pixels. Only required if `img` is set and `src` is not, and\n * for SVG images in Internet Explorer 11. The provided `imgSize` needs to match the actual size of the image.\n * @property {string} [src] Image source URI.\n */\n/**\n * @classdesc\n * Set icon style for vector features.\n * @api\n */\nvar Icon = /** @class */ (function (_super) {\n    __extends(Icon, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Icon(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        /**\n         * @type {number}\n         */\n        var opacity = options.opacity !== undefined ? options.opacity : 1;\n        /**\n         * @type {number}\n         */\n        var rotation = options.rotation !== undefined ? options.rotation : 0;\n        /**\n         * @type {number|import(\"../size.js\").Size}\n         */\n        var scale = options.scale !== undefined ? options.scale : 1;\n        /**\n         * @type {boolean}\n         */\n        var rotateWithView = options.rotateWithView !== undefined ? options.rotateWithView : false;\n        _this = _super.call(this, {\n            opacity: opacity,\n            rotation: rotation,\n            scale: scale,\n            displacement: options.displacement !== undefined ? options.displacement : [0, 0],\n            rotateWithView: rotateWithView,\n        }) || this;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.anchor_ = options.anchor !== undefined ? options.anchor : [0.5, 0.5];\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.normalizedAnchor_ = null;\n        /**\n         * @private\n         * @type {import(\"./IconOrigin.js\").default}\n         */\n        _this.anchorOrigin_ =\n            options.anchorOrigin !== undefined\n                ? options.anchorOrigin\n                : IconOrigin.TOP_LEFT;\n        /**\n         * @private\n         * @type {import(\"./IconAnchorUnits.js\").default}\n         */\n        _this.anchorXUnits_ =\n            options.anchorXUnits !== undefined\n                ? options.anchorXUnits\n                : IconAnchorUnits.FRACTION;\n        /**\n         * @private\n         * @type {import(\"./IconAnchorUnits.js\").default}\n         */\n        _this.anchorYUnits_ =\n            options.anchorYUnits !== undefined\n                ? options.anchorYUnits\n                : IconAnchorUnits.FRACTION;\n        /**\n         * @private\n         * @type {?string}\n         */\n        _this.crossOrigin_ =\n            options.crossOrigin !== undefined ? options.crossOrigin : null;\n        /**\n         * @type {HTMLImageElement|HTMLCanvasElement}\n         */\n        var image = options.img !== undefined ? options.img : null;\n        /**\n         * @type {import(\"../size.js\").Size}\n         */\n        var imgSize = options.imgSize !== undefined ? options.imgSize : null;\n        /**\n         * @type {string|undefined}\n         */\n        var src = options.src;\n        assert(!(src !== undefined && image), 4); // `image` and `src` cannot be provided at the same time\n        assert(!image || (image && imgSize), 5); // `imgSize` must be set when `image` is provided\n        if ((src === undefined || src.length === 0) && image) {\n            src = /** @type {HTMLImageElement} */ (image).src || getUid(image);\n        }\n        assert(src !== undefined && src.length > 0, 6); // A defined and non-empty `src` or `image` must be provided\n        /**\n         * @type {import(\"../ImageState.js\").default}\n         */\n        var imageState = options.src !== undefined ? ImageState.IDLE : ImageState.LOADED;\n        /**\n         * @private\n         * @type {import(\"../color.js\").Color}\n         */\n        _this.color_ = options.color !== undefined ? asArray(options.color) : null;\n        /**\n         * @private\n         * @type {import(\"./IconImage.js\").default}\n         */\n        _this.iconImage_ = getIconImage(image, \n        /** @type {string} */ (src), imgSize, _this.crossOrigin_, imageState, _this.color_);\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.offset_ = options.offset !== undefined ? options.offset : [0, 0];\n        /**\n         * @private\n         * @type {import(\"./IconOrigin.js\").default}\n         */\n        _this.offsetOrigin_ =\n            options.offsetOrigin !== undefined\n                ? options.offsetOrigin\n                : IconOrigin.TOP_LEFT;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.origin_ = null;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        _this.size_ = options.size !== undefined ? options.size : null;\n        return _this;\n    }\n    /**\n     * Clones the style. The underlying Image/HTMLCanvasElement is not cloned.\n     * @return {Icon} The cloned style.\n     * @api\n     */\n    Icon.prototype.clone = function () {\n        var scale = this.getScale();\n        return new Icon({\n            anchor: this.anchor_.slice(),\n            anchorOrigin: this.anchorOrigin_,\n            anchorXUnits: this.anchorXUnits_,\n            anchorYUnits: this.anchorYUnits_,\n            crossOrigin: this.crossOrigin_,\n            color: this.color_ && this.color_.slice\n                ? this.color_.slice()\n                : this.color_ || undefined,\n            src: this.getSrc(),\n            offset: this.offset_.slice(),\n            offsetOrigin: this.offsetOrigin_,\n            size: this.size_ !== null ? this.size_.slice() : undefined,\n            opacity: this.getOpacity(),\n            scale: Array.isArray(scale) ? scale.slice() : scale,\n            rotation: this.getRotation(),\n            rotateWithView: this.getRotateWithView(),\n        });\n    };\n    /**\n     * Get the anchor point in pixels. The anchor determines the center point for the\n     * symbolizer.\n     * @return {Array<number>} Anchor.\n     * @api\n     */\n    Icon.prototype.getAnchor = function () {\n        var anchor = this.normalizedAnchor_;\n        if (!anchor) {\n            anchor = this.anchor_;\n            var size = this.getSize();\n            if (this.anchorXUnits_ == IconAnchorUnits.FRACTION ||\n                this.anchorYUnits_ == IconAnchorUnits.FRACTION) {\n                if (!size) {\n                    return null;\n                }\n                anchor = this.anchor_.slice();\n                if (this.anchorXUnits_ == IconAnchorUnits.FRACTION) {\n                    anchor[0] *= size[0];\n                }\n                if (this.anchorYUnits_ == IconAnchorUnits.FRACTION) {\n                    anchor[1] *= size[1];\n                }\n            }\n            if (this.anchorOrigin_ != IconOrigin.TOP_LEFT) {\n                if (!size) {\n                    return null;\n                }\n                if (anchor === this.anchor_) {\n                    anchor = this.anchor_.slice();\n                }\n                if (this.anchorOrigin_ == IconOrigin.TOP_RIGHT ||\n                    this.anchorOrigin_ == IconOrigin.BOTTOM_RIGHT) {\n                    anchor[0] = -anchor[0] + size[0];\n                }\n                if (this.anchorOrigin_ == IconOrigin.BOTTOM_LEFT ||\n                    this.anchorOrigin_ == IconOrigin.BOTTOM_RIGHT) {\n                    anchor[1] = -anchor[1] + size[1];\n                }\n            }\n            this.normalizedAnchor_ = anchor;\n        }\n        var displacement = this.getDisplacement();\n        return [anchor[0] - displacement[0], anchor[1] + displacement[1]];\n    };\n    /**\n     * Set the anchor point. The anchor determines the center point for the\n     * symbolizer.\n     *\n     * @param {Array<number>} anchor Anchor.\n     * @api\n     */\n    Icon.prototype.setAnchor = function (anchor) {\n        this.anchor_ = anchor;\n        this.normalizedAnchor_ = null;\n    };\n    /**\n     * Get the icon color.\n     * @return {import(\"../color.js\").Color} Color.\n     * @api\n     */\n    Icon.prototype.getColor = function () {\n        return this.color_;\n    };\n    /**\n     * Get the image icon.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {HTMLImageElement|HTMLCanvasElement} Image or Canvas element.\n     * @api\n     */\n    Icon.prototype.getImage = function (pixelRatio) {\n        return this.iconImage_.getImage(pixelRatio);\n    };\n    /**\n     * Get the pixel ratio.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} The pixel ratio of the image.\n     * @api\n     */\n    Icon.prototype.getPixelRatio = function (pixelRatio) {\n        return this.iconImage_.getPixelRatio(pixelRatio);\n    };\n    /**\n     * @return {import(\"../size.js\").Size} Image size.\n     */\n    Icon.prototype.getImageSize = function () {\n        return this.iconImage_.getSize();\n    };\n    /**\n     * @return {import(\"../ImageState.js\").default} Image state.\n     */\n    Icon.prototype.getImageState = function () {\n        return this.iconImage_.getImageState();\n    };\n    /**\n     * @return {HTMLImageElement|HTMLCanvasElement} Image element.\n     */\n    Icon.prototype.getHitDetectionImage = function () {\n        return this.iconImage_.getHitDetectionImage();\n    };\n    /**\n     * Get the origin of the symbolizer.\n     * @return {Array<number>} Origin.\n     * @api\n     */\n    Icon.prototype.getOrigin = function () {\n        if (this.origin_) {\n            return this.origin_;\n        }\n        var offset = this.offset_;\n        if (this.offsetOrigin_ != IconOrigin.TOP_LEFT) {\n            var size = this.getSize();\n            var iconImageSize = this.iconImage_.getSize();\n            if (!size || !iconImageSize) {\n                return null;\n            }\n            offset = offset.slice();\n            if (this.offsetOrigin_ == IconOrigin.TOP_RIGHT ||\n                this.offsetOrigin_ == IconOrigin.BOTTOM_RIGHT) {\n                offset[0] = iconImageSize[0] - size[0] - offset[0];\n            }\n            if (this.offsetOrigin_ == IconOrigin.BOTTOM_LEFT ||\n                this.offsetOrigin_ == IconOrigin.BOTTOM_RIGHT) {\n                offset[1] = iconImageSize[1] - size[1] - offset[1];\n            }\n        }\n        this.origin_ = offset;\n        return this.origin_;\n    };\n    /**\n     * Get the image URL.\n     * @return {string|undefined} Image src.\n     * @api\n     */\n    Icon.prototype.getSrc = function () {\n        return this.iconImage_.getSrc();\n    };\n    /**\n     * Get the size of the icon (in pixels).\n     * @return {import(\"../size.js\").Size} Image size.\n     * @api\n     */\n    Icon.prototype.getSize = function () {\n        return !this.size_ ? this.iconImage_.getSize() : this.size_;\n    };\n    /**\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    Icon.prototype.listenImageChange = function (listener) {\n        this.iconImage_.addEventListener(EventType.CHANGE, listener);\n    };\n    /**\n     * Load not yet loaded URI.\n     * When rendering a feature with an icon style, the vector renderer will\n     * automatically call this method. However, you might want to call this\n     * method yourself for preloading or other purposes.\n     * @api\n     */\n    Icon.prototype.load = function () {\n        this.iconImage_.load();\n    };\n    /**\n     * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n     */\n    Icon.prototype.unlistenImageChange = function (listener) {\n        this.iconImage_.removeEventListener(EventType.CHANGE, listener);\n    };\n    return Icon;\n}(ImageStyle));\nexport default Icon;\n//# sourceMappingURL=Icon.js.map","/**\n * @module ol/render/canvas/hitdetect\n */\nimport CanvasImmediateRenderer from './Immediate.js';\nimport GeometryType from '../../geom/GeometryType.js';\nimport IconAnchorUnits from '../../style/IconAnchorUnits.js';\nimport { Icon } from '../../style.js';\nimport { clamp } from '../../math.js';\nimport { createCanvasContext2D } from '../../dom.js';\nimport { intersects } from '../../extent.js';\nimport { numberSafeCompareFunction } from '../../array.js';\nexport var HIT_DETECT_RESOLUTION = 0.5;\n/**\n * @param {import(\"../../size.js\").Size} size Canvas size in css pixels.\n * @param {Array<import(\"../../transform.js\").Transform>} transforms Transforms\n * for rendering features to all worlds of the viewport, from coordinates to css\n * pixels.\n * @param {Array<import(\"../../Feature.js\").FeatureLike>} features\n * Features to consider for hit detection.\n * @param {import(\"../../style/Style.js\").StyleFunction|undefined} styleFunction\n * Layer style function.\n * @param {import(\"../../extent.js\").Extent} extent Extent.\n * @param {number} resolution Resolution.\n * @param {number} rotation Rotation.\n * @return {ImageData} Hit detection image data.\n */\nexport function createHitDetectionImageData(size, transforms, features, styleFunction, extent, resolution, rotation) {\n    var width = size[0] * HIT_DETECT_RESOLUTION;\n    var height = size[1] * HIT_DETECT_RESOLUTION;\n    var context = createCanvasContext2D(width, height);\n    context.imageSmoothingEnabled = false;\n    var canvas = context.canvas;\n    var renderer = new CanvasImmediateRenderer(context, HIT_DETECT_RESOLUTION, extent, null, rotation);\n    var featureCount = features.length;\n    // Stretch hit detection index to use the whole available color range\n    var indexFactor = Math.floor((256 * 256 * 256 - 1) / featureCount);\n    var featuresByZIndex = {};\n    for (var i = 1; i <= featureCount; ++i) {\n        var feature = features[i - 1];\n        var featureStyleFunction = feature.getStyleFunction() || styleFunction;\n        if (!styleFunction) {\n            continue;\n        }\n        var styles = featureStyleFunction(feature, resolution);\n        if (!styles) {\n            continue;\n        }\n        if (!Array.isArray(styles)) {\n            styles = [styles];\n        }\n        var index = i * indexFactor;\n        var color = '#' + ('000000' + index.toString(16)).slice(-6);\n        for (var j = 0, jj = styles.length; j < jj; ++j) {\n            var originalStyle = styles[j];\n            var geometry = originalStyle.getGeometryFunction()(feature);\n            if (!geometry || !intersects(extent, geometry.getExtent())) {\n                continue;\n            }\n            var style = originalStyle.clone();\n            var fill = style.getFill();\n            if (fill) {\n                fill.setColor(color);\n            }\n            var stroke = style.getStroke();\n            if (stroke) {\n                stroke.setColor(color);\n                stroke.setLineDash(null);\n            }\n            style.setText(undefined);\n            var image = originalStyle.getImage();\n            if (image && image.getOpacity() !== 0) {\n                var imgSize = image.getImageSize();\n                if (!imgSize) {\n                    continue;\n                }\n                var imgContext = createCanvasContext2D(imgSize[0], imgSize[1], undefined, { alpha: false });\n                var img = imgContext.canvas;\n                imgContext.fillStyle = color;\n                imgContext.fillRect(0, 0, img.width, img.height);\n                style.setImage(new Icon({\n                    img: img,\n                    imgSize: imgSize,\n                    anchor: image.getAnchor(),\n                    anchorXUnits: IconAnchorUnits.PIXELS,\n                    anchorYUnits: IconAnchorUnits.PIXELS,\n                    offset: image.getOrigin(),\n                    opacity: 1,\n                    size: image.getSize(),\n                    scale: image.getScale(),\n                    rotation: image.getRotation(),\n                    rotateWithView: image.getRotateWithView(),\n                }));\n            }\n            var zIndex = style.getZIndex() || 0;\n            var byGeometryType = featuresByZIndex[zIndex];\n            if (!byGeometryType) {\n                byGeometryType = {};\n                featuresByZIndex[zIndex] = byGeometryType;\n                byGeometryType[GeometryType.POLYGON] = [];\n                byGeometryType[GeometryType.CIRCLE] = [];\n                byGeometryType[GeometryType.LINE_STRING] = [];\n                byGeometryType[GeometryType.POINT] = [];\n            }\n            byGeometryType[geometry.getType().replace('Multi', '')].push(geometry, style);\n        }\n    }\n    var zIndexKeys = Object.keys(featuresByZIndex)\n        .map(Number)\n        .sort(numberSafeCompareFunction);\n    for (var i = 0, ii = zIndexKeys.length; i < ii; ++i) {\n        var byGeometryType = featuresByZIndex[zIndexKeys[i]];\n        for (var type in byGeometryType) {\n            var geomAndStyle = byGeometryType[type];\n            for (var j = 0, jj = geomAndStyle.length; j < jj; j += 2) {\n                renderer.setStyle(geomAndStyle[j + 1]);\n                for (var k = 0, kk = transforms.length; k < kk; ++k) {\n                    renderer.setTransform(transforms[k]);\n                    renderer.drawGeometry(geomAndStyle[j]);\n                }\n            }\n        }\n    }\n    return context.getImageData(0, 0, canvas.width, canvas.height);\n}\n/**\n * @param {import(\"../../pixel\").Pixel} pixel Pixel coordinate on the hit\n * detection canvas in css pixels.\n * @param {Array<import(\"../../Feature\").FeatureLike>} features Features. Has to\n * match the `features` array that was passed to `createHitDetectionImageData()`.\n * @param {ImageData} imageData Hit detection image data generated by\n * `createHitDetectionImageData()`.\n * @return {Array<import(\"../../Feature\").FeatureLike>} features Features.\n */\nexport function hitDetect(pixel, features, imageData) {\n    var resultFeatures = [];\n    if (imageData) {\n        var x = Math.floor(Math.round(pixel[0]) * HIT_DETECT_RESOLUTION);\n        var y = Math.floor(Math.round(pixel[1]) * HIT_DETECT_RESOLUTION);\n        // The pixel coordinate is clamped down to the hit-detect canvas' size to account\n        // for browsers returning coordinates slightly larger than the actual canvas size\n        // due to a non-integer pixel ratio.\n        var index = (clamp(x, 0, imageData.width - 1) +\n            clamp(y, 0, imageData.height - 1) * imageData.width) *\n            4;\n        var r = imageData.data[index];\n        var g = imageData.data[index + 1];\n        var b = imageData.data[index + 2];\n        var i = b + 256 * (g + 256 * r);\n        var indexFactor = Math.floor((256 * 256 * 256 - 1) / features.length);\n        if (i && i % indexFactor === 0) {\n            resultFeatures.push(features[i / indexFactor - 1]);\n        }\n    }\n    return resultFeatures;\n}\n//# sourceMappingURL=hitdetect.js.map","/**\n * @module ol/renderer/vector\n */\nimport BuilderType from '../render/canvas/BuilderType.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport ImageState from '../ImageState.js';\nimport { getUid } from '../util.js';\n/**\n * Feature callback. The callback will be called with three arguments. The first\n * argument is one {@link module:ol/Feature feature} or {@link module:ol/render/Feature render feature}\n * at the pixel, the second is the {@link module:ol/layer/Layer layer} of the feature and will be null for\n * unmanaged layers. The third is the {@link module:ol/geom/SimpleGeometry} of the feature. For features\n * with a GeometryCollection geometry, it will be the first detected geometry from the collection.\n * @template T\n * @typedef {function(import(\"../Feature.js\").FeatureLike, import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>, import(\"../geom/SimpleGeometry.js\").default): T} FeatureCallback\n */\n/**\n * Tolerance for geometry simplification in device pixels.\n * @type {number}\n */\nvar SIMPLIFY_TOLERANCE = 0.5;\n/**\n * @const\n * @type {Object<import(\"../geom/GeometryType.js\").default,\n *                function(import(\"../render/canvas/BuilderGroup.js\").default, import(\"../geom/Geometry.js\").default,\n *                         import(\"../style/Style.js\").default, Object): void>}\n */\nvar GEOMETRY_RENDERERS = {\n    'Point': renderPointGeometry,\n    'LineString': renderLineStringGeometry,\n    'Polygon': renderPolygonGeometry,\n    'MultiPoint': renderMultiPointGeometry,\n    'MultiLineString': renderMultiLineStringGeometry,\n    'MultiPolygon': renderMultiPolygonGeometry,\n    'GeometryCollection': renderGeometryCollectionGeometry,\n    'Circle': renderCircleGeometry,\n};\n/**\n * @param {import(\"../Feature.js\").FeatureLike} feature1 Feature 1.\n * @param {import(\"../Feature.js\").FeatureLike} feature2 Feature 2.\n * @return {number} Order.\n */\nexport function defaultOrder(feature1, feature2) {\n    return parseInt(getUid(feature1), 10) - parseInt(getUid(feature2), 10);\n}\n/**\n * @param {number} resolution Resolution.\n * @param {number} pixelRatio Pixel ratio.\n * @return {number} Squared pixel tolerance.\n */\nexport function getSquaredTolerance(resolution, pixelRatio) {\n    var tolerance = getTolerance(resolution, pixelRatio);\n    return tolerance * tolerance;\n}\n/**\n * @param {number} resolution Resolution.\n * @param {number} pixelRatio Pixel ratio.\n * @return {number} Pixel tolerance.\n */\nexport function getTolerance(resolution, pixelRatio) {\n    return (SIMPLIFY_TOLERANCE * resolution) / pixelRatio;\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Builder group.\n * @param {import(\"../geom/Circle.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").default} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderCircleGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var fillStyle = style.getFill();\n    var strokeStyle = style.getStroke();\n    if (fillStyle || strokeStyle) {\n        var circleReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.CIRCLE);\n        circleReplay.setFillStrokeStyle(fillStyle, strokeStyle);\n        circleReplay.drawCircle(geometry, feature);\n    }\n    var textStyle = style.getText();\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} replayGroup Replay group.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {function(import(\"../events/Event.js\").default): void} listener Listener function.\n * @param {import(\"../proj.js\").TransformFunction} [opt_transform] Transform from user to view projection.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n * @return {boolean} `true` if style is loading.\n */\nexport function renderFeature(replayGroup, feature, style, squaredTolerance, listener, opt_transform, opt_declutterBuilderGroup) {\n    var loading = false;\n    var imageStyle = style.getImage();\n    if (imageStyle) {\n        var imageState = imageStyle.getImageState();\n        if (imageState == ImageState.LOADED || imageState == ImageState.ERROR) {\n            imageStyle.unlistenImageChange(listener);\n        }\n        else {\n            if (imageState == ImageState.IDLE) {\n                imageStyle.load();\n            }\n            imageState = imageStyle.getImageState();\n            imageStyle.listenImageChange(listener);\n            loading = true;\n        }\n    }\n    renderFeatureInternal(replayGroup, feature, style, squaredTolerance, opt_transform, opt_declutterBuilderGroup);\n    return loading;\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} replayGroup Replay group.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {number} squaredTolerance Squared tolerance.\n * @param {import(\"../proj.js\").TransformFunction} [opt_transform] Optional transform function.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderFeatureInternal(replayGroup, feature, style, squaredTolerance, opt_transform, opt_declutterBuilderGroup) {\n    var geometry = style.getGeometryFunction()(feature);\n    if (!geometry) {\n        return;\n    }\n    var simplifiedGeometry = geometry.simplifyTransformed(squaredTolerance, opt_transform);\n    var renderer = style.getRenderer();\n    if (renderer) {\n        renderGeometry(replayGroup, simplifiedGeometry, style, feature);\n    }\n    else {\n        var geometryRenderer = GEOMETRY_RENDERERS[simplifiedGeometry.getType()];\n        geometryRenderer(replayGroup, simplifiedGeometry, style, feature, opt_declutterBuilderGroup);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} replayGroup Replay group.\n * @param {import(\"../geom/Geometry.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n */\nfunction renderGeometry(replayGroup, geometry, style, feature) {\n    if (geometry.getType() == GeometryType.GEOMETRY_COLLECTION) {\n        var geometries = \n        /** @type {import(\"../geom/GeometryCollection.js\").default} */ (geometry).getGeometries();\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            renderGeometry(replayGroup, geometries[i], style, feature);\n        }\n        return;\n    }\n    var replay = replayGroup.getBuilder(style.getZIndex(), BuilderType.DEFAULT);\n    replay.drawCustom(\n    /** @type {import(\"../geom/SimpleGeometry.js\").default} */ (geometry), feature, style.getRenderer(), style.getHitDetectionRenderer());\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} replayGroup Replay group.\n * @param {import(\"../geom/GeometryCollection.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").default} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderGeometryCollectionGeometry(replayGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var geometries = geometry.getGeometriesArray();\n    var i, ii;\n    for (i = 0, ii = geometries.length; i < ii; ++i) {\n        var geometryRenderer = GEOMETRY_RENDERERS[geometries[i].getType()];\n        geometryRenderer(replayGroup, geometries[i], style, feature, opt_declutterBuilderGroup);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/LineString.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderLineStringGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var strokeStyle = style.getStroke();\n    if (strokeStyle) {\n        var lineStringReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.LINE_STRING);\n        lineStringReplay.setFillStrokeStyle(null, strokeStyle);\n        lineStringReplay.drawLineString(geometry, feature);\n    }\n    var textStyle = style.getText();\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/MultiLineString.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderMultiLineStringGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var strokeStyle = style.getStroke();\n    if (strokeStyle) {\n        var lineStringReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.LINE_STRING);\n        lineStringReplay.setFillStrokeStyle(null, strokeStyle);\n        lineStringReplay.drawMultiLineString(geometry, feature);\n    }\n    var textStyle = style.getText();\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/MultiPolygon.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").default} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderMultiPolygonGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var fillStyle = style.getFill();\n    var strokeStyle = style.getStroke();\n    if (strokeStyle || fillStyle) {\n        var polygonReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.POLYGON);\n        polygonReplay.setFillStrokeStyle(fillStyle, strokeStyle);\n        polygonReplay.drawMultiPolygon(geometry, feature);\n    }\n    var textStyle = style.getText();\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/Point.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderPointGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var imageStyle = style.getImage();\n    var textStyle = style.getText();\n    /** @type {import(\"../render/canvas.js\").DeclutterImageWithText} */\n    var declutterImageWithText;\n    if (opt_declutterBuilderGroup) {\n        builderGroup = opt_declutterBuilderGroup;\n        declutterImageWithText =\n            imageStyle && textStyle && textStyle.getText() ? {} : undefined;\n    }\n    if (imageStyle) {\n        if (imageStyle.getImageState() != ImageState.LOADED) {\n            return;\n        }\n        var imageReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.IMAGE);\n        imageReplay.setImageStyle(imageStyle, declutterImageWithText);\n        imageReplay.drawPoint(geometry, feature);\n    }\n    if (textStyle && textStyle.getText()) {\n        var textReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle, declutterImageWithText);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/MultiPoint.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderMultiPointGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var imageStyle = style.getImage();\n    var textStyle = style.getText();\n    /** @type {import(\"../render/canvas.js\").DeclutterImageWithText} */\n    var declutterImageWithText;\n    if (opt_declutterBuilderGroup) {\n        builderGroup = opt_declutterBuilderGroup;\n        declutterImageWithText =\n            imageStyle && textStyle && textStyle.getText() ? {} : undefined;\n    }\n    if (imageStyle) {\n        if (imageStyle.getImageState() != ImageState.LOADED) {\n            return;\n        }\n        var imageReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.IMAGE);\n        imageReplay.setImageStyle(imageStyle, declutterImageWithText);\n        imageReplay.drawMultiPoint(geometry, feature);\n    }\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle, declutterImageWithText);\n        textReplay.drawText(geometry, feature);\n    }\n}\n/**\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n * @param {import(\"../geom/Polygon.js\").default|import(\"../render/Feature.js\").default} geometry Geometry.\n * @param {import(\"../style/Style.js\").default} style Style.\n * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @param {import(\"../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n */\nfunction renderPolygonGeometry(builderGroup, geometry, style, feature, opt_declutterBuilderGroup) {\n    var fillStyle = style.getFill();\n    var strokeStyle = style.getStroke();\n    if (fillStyle || strokeStyle) {\n        var polygonReplay = builderGroup.getBuilder(style.getZIndex(), BuilderType.POLYGON);\n        polygonReplay.setFillStrokeStyle(fillStyle, strokeStyle);\n        polygonReplay.drawPolygon(geometry, feature);\n    }\n    var textStyle = style.getText();\n    if (textStyle && textStyle.getText()) {\n        var textReplay = (opt_declutterBuilderGroup || builderGroup).getBuilder(style.getZIndex(), BuilderType.TEXT);\n        textReplay.setTextStyle(textStyle);\n        textReplay.drawText(geometry, feature);\n    }\n}\n//# sourceMappingURL=vector.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/canvas/VectorLayer\n */\nimport CanvasBuilderGroup from '../../render/canvas/BuilderGroup.js';\nimport CanvasLayerRenderer from './Layer.js';\nimport ExecutorGroup from '../../render/canvas/ExecutorGroup.js';\nimport ViewHint from '../../ViewHint.js';\nimport { HIT_DETECT_RESOLUTION, createHitDetectionImageData, hitDetect, } from '../../render/canvas/hitdetect.js';\nimport { apply, makeInverse, makeScale, toString as transformToString, } from '../../transform.js';\nimport { buffer, containsExtent, createEmpty, getWidth, intersects as intersectsExtent, wrapX as wrapExtentX, } from '../../extent.js';\nimport { cssOpacity } from '../../css.js';\nimport { defaultOrder as defaultRenderOrder, getTolerance as getRenderTolerance, getSquaredTolerance as getSquaredRenderTolerance, renderFeature, } from '../vector.js';\nimport { equals } from '../../array.js';\nimport { fromUserExtent, getTransformFromProjections, getUserProjection, toUserExtent, toUserResolution, } from '../../proj.js';\nimport { getUid } from '../../util.js';\nimport { wrapX as wrapCoordinateX } from '../../coordinate.js';\n/**\n * @classdesc\n * Canvas renderer for vector layers.\n * @api\n */\nvar CanvasVectorLayerRenderer = /** @class */ (function (_super) {\n    __extends(CanvasVectorLayerRenderer, _super);\n    /**\n     * @param {import(\"../../layer/BaseVector.js\").default} vectorLayer Vector layer.\n     */\n    function CanvasVectorLayerRenderer(vectorLayer) {\n        var _this = _super.call(this, vectorLayer) || this;\n        /** @private */\n        _this.boundHandleStyleImageChange_ = _this.handleStyleImageChange_.bind(_this);\n        /**\n         * @type {boolean}\n         */\n        _this.animatingOrInteracting_;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.dirty_ = false;\n        /**\n         * @type {ImageData}\n         */\n        _this.hitDetectionImageData_ = null;\n        /**\n         * @type {Array<import(\"../../Feature.js\").default>}\n         */\n        _this.renderedFeatures_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedRevision_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedResolution_ = NaN;\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.renderedExtent_ = createEmpty();\n        /**\n         * @private\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.wrappedRenderedExtent_ = createEmpty();\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedRotation_;\n        /**\n         * @private\n         * @type {import(\"../../coordinate\").Coordinate}\n         */\n        _this.renderedCenter_ = null;\n        /**\n         * @private\n         * @type {import(\"../../proj/Projection\").default}\n         */\n        _this.renderedProjection_ = null;\n        /**\n         * @private\n         * @type {function(import(\"../../Feature.js\").default, import(\"../../Feature.js\").default): number|null}\n         */\n        _this.renderedRenderOrder_ = null;\n        /**\n         * @private\n         * @type {import(\"../../render/canvas/ExecutorGroup\").default}\n         */\n        _this.replayGroup_ = null;\n        /**\n         * A new replay group had to be created by `prepareFrame()`\n         * @type {boolean}\n         */\n        _this.replayGroupChanged = true;\n        /**\n         * @type {import(\"../../render/canvas/ExecutorGroup\").default}\n         */\n        _this.declutterExecutorGroup = null;\n        /**\n         * Clipping to be performed by `renderFrame()`\n         * @type {boolean}\n         */\n        _this.clipping = true;\n        return _this;\n    }\n    /**\n     * @param {ExecutorGroup} executorGroup Executor group.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"rbush\").default} [opt_declutterTree] Declutter tree.\n     */\n    CanvasVectorLayerRenderer.prototype.renderWorlds = function (executorGroup, frameState, opt_declutterTree) {\n        var extent = frameState.extent;\n        var viewState = frameState.viewState;\n        var center = viewState.center;\n        var resolution = viewState.resolution;\n        var projection = viewState.projection;\n        var rotation = viewState.rotation;\n        var projectionExtent = projection.getExtent();\n        var vectorSource = this.getLayer().getSource();\n        var pixelRatio = frameState.pixelRatio;\n        var viewHints = frameState.viewHints;\n        var snapToPixel = !(viewHints[ViewHint.ANIMATING] || viewHints[ViewHint.INTERACTING]);\n        var context = this.context;\n        var width = Math.round(frameState.size[0] * pixelRatio);\n        var height = Math.round(frameState.size[1] * pixelRatio);\n        var multiWorld = vectorSource.getWrapX() && projection.canWrapX();\n        var worldWidth = multiWorld ? getWidth(projectionExtent) : null;\n        var endWorld = multiWorld\n            ? Math.ceil((extent[2] - projectionExtent[2]) / worldWidth) + 1\n            : 1;\n        var world = multiWorld\n            ? Math.floor((extent[0] - projectionExtent[0]) / worldWidth)\n            : 0;\n        do {\n            var transform = this.getRenderTransform(center, resolution, rotation, pixelRatio, width, height, world * worldWidth);\n            executorGroup.execute(context, 1, transform, rotation, snapToPixel, undefined, opt_declutterTree);\n        } while (++world < endWorld);\n    };\n    /**\n     * Render declutter items for this layer\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    CanvasVectorLayerRenderer.prototype.renderDeclutter = function (frameState) {\n        if (this.declutterExecutorGroup) {\n            this.renderWorlds(this.declutterExecutorGroup, frameState, frameState.declutterTree);\n        }\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target that may be used to render content to.\n     * @return {HTMLElement} The rendered element.\n     */\n    CanvasVectorLayerRenderer.prototype.renderFrame = function (frameState, target) {\n        var pixelRatio = frameState.pixelRatio;\n        var layerState = frameState.layerStatesArray[frameState.layerIndex];\n        // set forward and inverse pixel transforms\n        makeScale(this.pixelTransform, 1 / pixelRatio, 1 / pixelRatio);\n        makeInverse(this.inversePixelTransform, this.pixelTransform);\n        var canvasTransform = transformToString(this.pixelTransform);\n        this.useContainer(target, canvasTransform, layerState.opacity);\n        var context = this.context;\n        var canvas = context.canvas;\n        var replayGroup = this.replayGroup_;\n        var declutterExecutorGroup = this.declutterExecutorGroup;\n        if ((!replayGroup || replayGroup.isEmpty()) &&\n            (!declutterExecutorGroup || declutterExecutorGroup.isEmpty())) {\n            return null;\n        }\n        // resize and clear\n        var width = Math.round(frameState.size[0] * pixelRatio);\n        var height = Math.round(frameState.size[1] * pixelRatio);\n        if (canvas.width != width || canvas.height != height) {\n            canvas.width = width;\n            canvas.height = height;\n            if (canvas.style.transform !== canvasTransform) {\n                canvas.style.transform = canvasTransform;\n            }\n        }\n        else if (!this.containerReused) {\n            context.clearRect(0, 0, width, height);\n        }\n        this.preRender(context, frameState);\n        var viewState = frameState.viewState;\n        var projection = viewState.projection;\n        // clipped rendering if layer extent is set\n        var clipped = false;\n        var render = true;\n        if (layerState.extent && this.clipping) {\n            var layerExtent = fromUserExtent(layerState.extent, projection);\n            render = intersectsExtent(layerExtent, frameState.extent);\n            clipped = render && !containsExtent(layerExtent, frameState.extent);\n            if (clipped) {\n                this.clipUnrotated(context, frameState, layerExtent);\n            }\n        }\n        if (render) {\n            this.renderWorlds(replayGroup, frameState);\n        }\n        if (clipped) {\n            context.restore();\n        }\n        this.postRender(context, frameState);\n        var opacity = cssOpacity(layerState.opacity);\n        var container = this.container;\n        if (opacity !== container.style.opacity) {\n            container.style.opacity = opacity;\n        }\n        if (this.renderedRotation_ !== viewState.rotation) {\n            this.renderedRotation_ = viewState.rotation;\n            this.hitDetectionImageData_ = null;\n        }\n        return this.container;\n    };\n    /**\n     * Asynchronous layer level hit detection.\n     * @param {import(\"../../pixel.js\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../../Feature\").default>>} Promise that resolves with an array of features.\n     */\n    CanvasVectorLayerRenderer.prototype.getFeatures = function (pixel) {\n        return new Promise(\n        /**\n         * @param {function(Array<import(\"../../Feature\").default|import(\"../../render/Feature\").default>): void} resolve Resolver function.\n         * @this {CanvasVectorLayerRenderer}\n         */\n        function (resolve) {\n            if (!this.hitDetectionImageData_ && !this.animatingOrInteracting_) {\n                var size = [this.context.canvas.width, this.context.canvas.height];\n                apply(this.pixelTransform, size);\n                var center = this.renderedCenter_;\n                var resolution = this.renderedResolution_;\n                var rotation = this.renderedRotation_;\n                var projection = this.renderedProjection_;\n                var extent = this.wrappedRenderedExtent_;\n                var layer = this.getLayer();\n                var transforms = [];\n                var width = size[0] * HIT_DETECT_RESOLUTION;\n                var height = size[1] * HIT_DETECT_RESOLUTION;\n                transforms.push(this.getRenderTransform(center, resolution, rotation, HIT_DETECT_RESOLUTION, width, height, 0).slice());\n                var source = layer.getSource();\n                var projectionExtent = projection.getExtent();\n                if (source.getWrapX() &&\n                    projection.canWrapX() &&\n                    !containsExtent(projectionExtent, extent)) {\n                    var startX = extent[0];\n                    var worldWidth = getWidth(projectionExtent);\n                    var world = 0;\n                    var offsetX = void 0;\n                    while (startX < projectionExtent[0]) {\n                        --world;\n                        offsetX = worldWidth * world;\n                        transforms.push(this.getRenderTransform(center, resolution, rotation, HIT_DETECT_RESOLUTION, width, height, offsetX).slice());\n                        startX += worldWidth;\n                    }\n                    world = 0;\n                    startX = extent[2];\n                    while (startX > projectionExtent[2]) {\n                        ++world;\n                        offsetX = worldWidth * world;\n                        transforms.push(this.getRenderTransform(center, resolution, rotation, HIT_DETECT_RESOLUTION, width, height, offsetX).slice());\n                        startX -= worldWidth;\n                    }\n                }\n                this.hitDetectionImageData_ = createHitDetectionImageData(size, transforms, this.renderedFeatures_, layer.getStyleFunction(), extent, resolution, rotation);\n            }\n            resolve(hitDetect(pixel, this.renderedFeatures_, this.hitDetectionImageData_));\n        }.bind(this));\n    };\n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {import(\"../vector.js\").FeatureCallback<T>} callback Feature callback.\n     * @param {Array<import(\"../Map.js\").HitMatch<T>>} matches The hit detected matches with tolerance.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    CanvasVectorLayerRenderer.prototype.forEachFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, callback, matches) {\n        var _this = this;\n        if (!this.replayGroup_) {\n            return undefined;\n        }\n        var resolution = frameState.viewState.resolution;\n        var rotation = frameState.viewState.rotation;\n        var layer = this.getLayer();\n        /** @type {!Object<string, import(\"../Map.js\").HitMatch<T>|true>} */\n        var features = {};\n        /**\n         * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n         * @param {import(\"../../geom/SimpleGeometry.js\").default} geometry Geometry.\n         * @param {number} distanceSq The squared distance to the click position\n         * @return {T|undefined} Callback result.\n         */\n        var featureCallback = function (feature, geometry, distanceSq) {\n            var key = getUid(feature);\n            var match = features[key];\n            if (!match) {\n                if (distanceSq === 0) {\n                    features[key] = true;\n                    return callback(feature, layer, geometry);\n                }\n                matches.push((features[key] = {\n                    feature: feature,\n                    layer: layer,\n                    geometry: geometry,\n                    distanceSq: distanceSq,\n                    callback: callback,\n                }));\n            }\n            else if (match !== true && distanceSq < match.distanceSq) {\n                if (distanceSq === 0) {\n                    features[key] = true;\n                    matches.splice(matches.lastIndexOf(match), 1);\n                    return callback(feature, layer, geometry);\n                }\n                match.geometry = geometry;\n                match.distanceSq = distanceSq;\n            }\n            return undefined;\n        };\n        var result;\n        var executorGroups = [this.replayGroup_];\n        if (this.declutterExecutorGroup) {\n            executorGroups.push(this.declutterExecutorGroup);\n        }\n        executorGroups.some(function (executorGroup) {\n            return (result = executorGroup.forEachFeatureAtCoordinate(coordinate, resolution, rotation, hitTolerance, featureCallback, executorGroup === _this.declutterExecutorGroup &&\n                frameState.declutterTree\n                ? frameState.declutterTree.all().map(function (item) { return item.value; })\n                : null));\n        });\n        return result;\n    };\n    /**\n     * Perform action necessary to get the layer rendered after new fonts have loaded\n     */\n    CanvasVectorLayerRenderer.prototype.handleFontsChanged = function () {\n        var layer = this.getLayer();\n        if (layer.getVisible() && this.replayGroup_) {\n            layer.changed();\n        }\n    };\n    /**\n     * Handle changes in image style state.\n     * @param {import(\"../../events/Event.js\").default} event Image style change event.\n     * @private\n     */\n    CanvasVectorLayerRenderer.prototype.handleStyleImageChange_ = function (event) {\n        this.renderIfReadyAndVisible();\n    };\n    /**\n     * Determine whether render should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    CanvasVectorLayerRenderer.prototype.prepareFrame = function (frameState) {\n        var vectorLayer = this.getLayer();\n        var vectorSource = vectorLayer.getSource();\n        if (!vectorSource) {\n            return false;\n        }\n        var animating = frameState.viewHints[ViewHint.ANIMATING];\n        var interacting = frameState.viewHints[ViewHint.INTERACTING];\n        var updateWhileAnimating = vectorLayer.getUpdateWhileAnimating();\n        var updateWhileInteracting = vectorLayer.getUpdateWhileInteracting();\n        if ((!this.dirty_ && !updateWhileAnimating && animating) ||\n            (!updateWhileInteracting && interacting)) {\n            this.animatingOrInteracting_ = true;\n            return true;\n        }\n        this.animatingOrInteracting_ = false;\n        var frameStateExtent = frameState.extent;\n        var viewState = frameState.viewState;\n        var projection = viewState.projection;\n        var resolution = viewState.resolution;\n        var pixelRatio = frameState.pixelRatio;\n        var vectorLayerRevision = vectorLayer.getRevision();\n        var vectorLayerRenderBuffer = vectorLayer.getRenderBuffer();\n        var vectorLayerRenderOrder = vectorLayer.getRenderOrder();\n        if (vectorLayerRenderOrder === undefined) {\n            vectorLayerRenderOrder = defaultRenderOrder;\n        }\n        var center = viewState.center.slice();\n        var extent = buffer(frameStateExtent, vectorLayerRenderBuffer * resolution);\n        var renderedExtent = extent.slice();\n        var loadExtents = [extent.slice()];\n        var projectionExtent = projection.getExtent();\n        if (vectorSource.getWrapX() &&\n            projection.canWrapX() &&\n            !containsExtent(projectionExtent, frameState.extent)) {\n            // For the replay group, we need an extent that intersects the real world\n            // (-180° to +180°). To support geometries in a coordinate range from -540°\n            // to +540°, we add at least 1 world width on each side of the projection\n            // extent. If the viewport is wider than the world, we need to add half of\n            // the viewport width to make sure we cover the whole viewport.\n            var worldWidth = getWidth(projectionExtent);\n            var gutter = Math.max(getWidth(extent) / 2, worldWidth);\n            extent[0] = projectionExtent[0] - gutter;\n            extent[2] = projectionExtent[2] + gutter;\n            wrapCoordinateX(center, projection);\n            var loadExtent = wrapExtentX(loadExtents[0], projection);\n            // If the extent crosses the date line, we load data for both edges of the worlds\n            if (loadExtent[0] < projectionExtent[0] &&\n                loadExtent[2] < projectionExtent[2]) {\n                loadExtents.push([\n                    loadExtent[0] + worldWidth,\n                    loadExtent[1],\n                    loadExtent[2] + worldWidth,\n                    loadExtent[3],\n                ]);\n            }\n            else if (loadExtent[0] > projectionExtent[0] &&\n                loadExtent[2] > projectionExtent[2]) {\n                loadExtents.push([\n                    loadExtent[0] - worldWidth,\n                    loadExtent[1],\n                    loadExtent[2] - worldWidth,\n                    loadExtent[3],\n                ]);\n            }\n        }\n        if (!this.dirty_ &&\n            this.renderedResolution_ == resolution &&\n            this.renderedRevision_ == vectorLayerRevision &&\n            this.renderedRenderOrder_ == vectorLayerRenderOrder &&\n            containsExtent(this.wrappedRenderedExtent_, extent)) {\n            if (!equals(this.renderedExtent_, renderedExtent)) {\n                this.hitDetectionImageData_ = null;\n                this.renderedExtent_ = renderedExtent;\n            }\n            this.renderedCenter_ = center;\n            this.replayGroupChanged = false;\n            return true;\n        }\n        this.replayGroup_ = null;\n        this.dirty_ = false;\n        var replayGroup = new CanvasBuilderGroup(getRenderTolerance(resolution, pixelRatio), extent, resolution, pixelRatio);\n        var declutterBuilderGroup;\n        if (this.getLayer().getDeclutter()) {\n            declutterBuilderGroup = new CanvasBuilderGroup(getRenderTolerance(resolution, pixelRatio), extent, resolution, pixelRatio);\n        }\n        var userProjection = getUserProjection();\n        var userTransform;\n        if (userProjection) {\n            for (var i = 0, ii = loadExtents.length; i < ii; ++i) {\n                var extent_1 = loadExtents[i];\n                var userExtent_1 = toUserExtent(extent_1, projection);\n                vectorSource.loadFeatures(userExtent_1, toUserResolution(resolution, projection), userProjection);\n            }\n            userTransform = getTransformFromProjections(userProjection, projection);\n        }\n        else {\n            for (var i = 0, ii = loadExtents.length; i < ii; ++i) {\n                vectorSource.loadFeatures(loadExtents[i], resolution, projection);\n            }\n        }\n        var squaredTolerance = getSquaredRenderTolerance(resolution, pixelRatio);\n        var render = \n        /**\n         * @param {import(\"../../Feature.js\").default} feature Feature.\n         * @this {CanvasVectorLayerRenderer}\n         */\n        function (feature) {\n            var styles;\n            var styleFunction = feature.getStyleFunction() || vectorLayer.getStyleFunction();\n            if (styleFunction) {\n                styles = styleFunction(feature, resolution);\n            }\n            if (styles) {\n                var dirty = this.renderFeature(feature, squaredTolerance, styles, replayGroup, userTransform, declutterBuilderGroup);\n                this.dirty_ = this.dirty_ || dirty;\n            }\n        }.bind(this);\n        var userExtent = toUserExtent(extent, projection);\n        /** @type {Array<import(\"../../Feature.js\").default>} */\n        var features = vectorSource.getFeaturesInExtent(userExtent);\n        if (vectorLayerRenderOrder) {\n            features.sort(vectorLayerRenderOrder);\n        }\n        for (var i = 0, ii = features.length; i < ii; ++i) {\n            render(features[i]);\n        }\n        this.renderedFeatures_ = features;\n        var replayGroupInstructions = replayGroup.finish();\n        var executorGroup = new ExecutorGroup(extent, resolution, pixelRatio, vectorSource.getOverlaps(), replayGroupInstructions, vectorLayer.getRenderBuffer());\n        if (declutterBuilderGroup) {\n            this.declutterExecutorGroup = new ExecutorGroup(extent, resolution, pixelRatio, vectorSource.getOverlaps(), declutterBuilderGroup.finish(), vectorLayer.getRenderBuffer());\n        }\n        this.renderedResolution_ = resolution;\n        this.renderedRevision_ = vectorLayerRevision;\n        this.renderedRenderOrder_ = vectorLayerRenderOrder;\n        this.renderedExtent_ = renderedExtent;\n        this.wrappedRenderedExtent_ = extent;\n        this.renderedCenter_ = center;\n        this.renderedProjection_ = projection;\n        this.replayGroup_ = executorGroup;\n        this.hitDetectionImageData_ = null;\n        this.replayGroupChanged = true;\n        return true;\n    };\n    /**\n     * @param {import(\"../../Feature.js\").default} feature Feature.\n     * @param {number} squaredTolerance Squared render tolerance.\n     * @param {import(\"../../style/Style.js\").default|Array<import(\"../../style/Style.js\").default>} styles The style or array of styles.\n     * @param {import(\"../../render/canvas/BuilderGroup.js\").default} builderGroup Builder group.\n     * @param {import(\"../../proj.js\").TransformFunction} [opt_transform] Transform from user to view projection.\n     * @param {import(\"../../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder for decluttering.\n     * @return {boolean} `true` if an image is loading.\n     */\n    CanvasVectorLayerRenderer.prototype.renderFeature = function (feature, squaredTolerance, styles, builderGroup, opt_transform, opt_declutterBuilderGroup) {\n        if (!styles) {\n            return false;\n        }\n        var loading = false;\n        if (Array.isArray(styles)) {\n            for (var i = 0, ii = styles.length; i < ii; ++i) {\n                loading =\n                    renderFeature(builderGroup, feature, styles[i], squaredTolerance, this.boundHandleStyleImageChange_, opt_transform, opt_declutterBuilderGroup) || loading;\n            }\n        }\n        else {\n            loading = renderFeature(builderGroup, feature, styles, squaredTolerance, this.boundHandleStyleImageChange_, opt_transform, opt_declutterBuilderGroup);\n        }\n        return loading;\n    };\n    return CanvasVectorLayerRenderer;\n}(CanvasLayerRenderer));\nexport default CanvasVectorLayerRenderer;\n//# sourceMappingURL=VectorLayer.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Vector\n */\nimport BaseVectorLayer from './BaseVector.js';\nimport CanvasVectorLayerRenderer from '../renderer/canvas/VectorLayer.js';\n/**\n * @classdesc\n * Vector data that is rendered client-side.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Vector.js\").default} VectorSourceType\n * @extends {BaseVectorLayer<VectorSourceType, CanvasVectorLayerRenderer>}\n * @api\n */\nvar VectorLayer = /** @class */ (function (_super) {\n    __extends(VectorLayer, _super);\n    /**\n     * @param {import(\"./BaseVector.js\").Options<VectorSourceType>} [opt_options] Options.\n     */\n    function VectorLayer(opt_options) {\n        return _super.call(this, opt_options) || this;\n    }\n    VectorLayer.prototype.createRenderer = function () {\n        return new CanvasVectorLayerRenderer(this);\n    };\n    return VectorLayer;\n}(BaseVectorLayer));\nexport default VectorLayer;\n//# sourceMappingURL=Vector.js.map","/**\n * @module ol/structs/RBush\n */\nimport RBush_ from 'rbush';\nimport { createOrUpdate, equals } from '../extent.js';\nimport { getUid } from '../util.js';\nimport { isEmpty } from '../obj.js';\n/**\n * @typedef {Object} Entry\n * @property {number} minX MinX.\n * @property {number} minY MinY.\n * @property {number} maxX MaxX.\n * @property {number} maxY MaxY.\n * @property {Object} [value] Value.\n */\n/**\n * @classdesc\n * Wrapper around the RBush by Vladimir Agafonkin.\n * See https://github.com/mourner/rbush.\n *\n * @template T\n */\nvar RBush = /** @class */ (function () {\n    /**\n     * @param {number} [opt_maxEntries] Max entries.\n     */\n    function RBush(opt_maxEntries) {\n        /**\n         * @private\n         */\n        this.rbush_ = new RBush_(opt_maxEntries);\n        /**\n         * A mapping between the objects added to this rbush wrapper\n         * and the objects that are actually added to the internal rbush.\n         * @private\n         * @type {Object<string, Entry>}\n         */\n        this.items_ = {};\n    }\n    /**\n     * Insert a value into the RBush.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {T} value Value.\n     */\n    RBush.prototype.insert = function (extent, value) {\n        /** @type {Entry} */\n        var item = {\n            minX: extent[0],\n            minY: extent[1],\n            maxX: extent[2],\n            maxY: extent[3],\n            value: value,\n        };\n        this.rbush_.insert(item);\n        this.items_[getUid(value)] = item;\n    };\n    /**\n     * Bulk-insert values into the RBush.\n     * @param {Array<import(\"../extent.js\").Extent>} extents Extents.\n     * @param {Array<T>} values Values.\n     */\n    RBush.prototype.load = function (extents, values) {\n        var items = new Array(values.length);\n        for (var i = 0, l = values.length; i < l; i++) {\n            var extent = extents[i];\n            var value = values[i];\n            /** @type {Entry} */\n            var item = {\n                minX: extent[0],\n                minY: extent[1],\n                maxX: extent[2],\n                maxY: extent[3],\n                value: value,\n            };\n            items[i] = item;\n            this.items_[getUid(value)] = item;\n        }\n        this.rbush_.load(items);\n    };\n    /**\n     * Remove a value from the RBush.\n     * @param {T} value Value.\n     * @return {boolean} Removed.\n     */\n    RBush.prototype.remove = function (value) {\n        var uid = getUid(value);\n        // get the object in which the value was wrapped when adding to the\n        // internal rbush. then use that object to do the removal.\n        var item = this.items_[uid];\n        delete this.items_[uid];\n        return this.rbush_.remove(item) !== null;\n    };\n    /**\n     * Update the extent of a value in the RBush.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {T} value Value.\n     */\n    RBush.prototype.update = function (extent, value) {\n        var item = this.items_[getUid(value)];\n        var bbox = [item.minX, item.minY, item.maxX, item.maxY];\n        if (!equals(bbox, extent)) {\n            this.remove(value);\n            this.insert(extent, value);\n        }\n    };\n    /**\n     * Return all values in the RBush.\n     * @return {Array<T>} All.\n     */\n    RBush.prototype.getAll = function () {\n        var items = this.rbush_.all();\n        return items.map(function (item) {\n            return item.value;\n        });\n    };\n    /**\n     * Return all values in the given extent.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {Array<T>} All in extent.\n     */\n    RBush.prototype.getInExtent = function (extent) {\n        /** @type {Entry} */\n        var bbox = {\n            minX: extent[0],\n            minY: extent[1],\n            maxX: extent[2],\n            maxY: extent[3],\n        };\n        var items = this.rbush_.search(bbox);\n        return items.map(function (item) {\n            return item.value;\n        });\n    };\n    /**\n     * Calls a callback function with each value in the tree.\n     * If the callback returns a truthy value, this value is returned without\n     * checking the rest of the tree.\n     * @param {function(T): *} callback Callback.\n     * @return {*} Callback return value.\n     */\n    RBush.prototype.forEach = function (callback) {\n        return this.forEach_(this.getAll(), callback);\n    };\n    /**\n     * Calls a callback function with each value in the provided extent.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {function(T): *} callback Callback.\n     * @return {*} Callback return value.\n     */\n    RBush.prototype.forEachInExtent = function (extent, callback) {\n        return this.forEach_(this.getInExtent(extent), callback);\n    };\n    /**\n     * @param {Array<T>} values Values.\n     * @param {function(T): *} callback Callback.\n     * @private\n     * @return {*} Callback return value.\n     */\n    RBush.prototype.forEach_ = function (values, callback) {\n        var result;\n        for (var i = 0, l = values.length; i < l; i++) {\n            result = callback(values[i]);\n            if (result) {\n                return result;\n            }\n        }\n        return result;\n    };\n    /**\n     * @return {boolean} Is empty.\n     */\n    RBush.prototype.isEmpty = function () {\n        return isEmpty(this.items_);\n    };\n    /**\n     * Remove all values from the RBush.\n     */\n    RBush.prototype.clear = function () {\n        this.rbush_.clear();\n        this.items_ = {};\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Extent.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     */\n    RBush.prototype.getExtent = function (opt_extent) {\n        var data = this.rbush_.toJSON();\n        return createOrUpdate(data.minX, data.minY, data.maxX, data.maxY, opt_extent);\n    };\n    /**\n     * @param {RBush} rbush R-Tree.\n     */\n    RBush.prototype.concat = function (rbush) {\n        this.rbush_.load(rbush.rbush_.all());\n        for (var i in rbush.items_) {\n            this.items_[i] = rbush.items_[i];\n        }\n    };\n    return RBush;\n}());\nexport default RBush;\n//# sourceMappingURL=RBush.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/source/Source\n */\nimport BaseObject from '../Object.js';\nimport SourceState from './State.js';\nimport { abstract } from '../util.js';\nimport { get as getProjection } from '../proj.js';\n/**\n * A function that takes a {@link module:ol/PluggableMap~FrameState} and returns a string or\n * an array of strings representing source attributions.\n *\n * @typedef {function(import(\"../PluggableMap.js\").FrameState): (string|Array<string>)} Attribution\n */\n/**\n * A type that can be used to provide attribution information for data sources.\n *\n * It represents either\n * * a simple string (e.g. `'© Acme Inc.'`)\n * * an array of simple strings (e.g. `['© Acme Inc.', '© Bacme Inc.']`)\n * * a function that returns a string or array of strings ({@link module:ol/source/Source~Attribution})\n *\n * @typedef {string|Array<string>|Attribution} AttributionLike\n */\n/**\n * @typedef {Object} Options\n * @property {AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection. Default is the view projection.\n * @property {import(\"./State.js\").default} [state='ready'] State.\n * @property {boolean} [wrapX=false] WrapX.\n * @property {boolean} [interpolate=false] Use interpolated values when resampling.  By default,\n * the nearest neighbor is used when resampling.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for {@link module:ol/layer/Layer~Layer} sources.\n *\n * A generic `change` event is triggered when the state of the source changes.\n * @abstract\n * @api\n */\nvar Source = /** @class */ (function (_super) {\n    __extends(Source, _super);\n    /**\n     * @param {Options} options Source options.\n     */\n    function Source(options) {\n        var _this = _super.call(this) || this;\n        /**\n         * @protected\n         * @type {import(\"../proj/Projection.js\").default}\n         */\n        _this.projection = getProjection(options.projection);\n        /**\n         * @private\n         * @type {?Attribution}\n         */\n        _this.attributions_ = adaptAttributions(options.attributions);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.attributionsCollapsible_ =\n            options.attributionsCollapsible !== undefined\n                ? options.attributionsCollapsible\n                : true;\n        /**\n         * This source is currently loading data. Sources that defer loading to the\n         * map's tile queue never set this to `true`.\n         * @type {boolean}\n         */\n        _this.loading = false;\n        /**\n         * @private\n         * @type {import(\"./State.js\").default}\n         */\n        _this.state_ =\n            options.state !== undefined ? options.state : SourceState.READY;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.wrapX_ = options.wrapX !== undefined ? options.wrapX : false;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.interpolate_ = !!options.interpolate;\n        /**\n         * @protected\n         * @type {function(import(\"../View.js\").ViewOptions):void}\n         */\n        _this.viewResolver = null;\n        /**\n         * @protected\n         * @type {function(Error):void}\n         */\n        _this.viewRejector = null;\n        var self = _this;\n        /**\n         * @private\n         * @type {Promise<import(\"../View.js\").ViewOptions>}\n         */\n        _this.viewPromise_ = new Promise(function (resolve, reject) {\n            self.viewResolver = resolve;\n            self.viewRejector = reject;\n        });\n        return _this;\n    }\n    /**\n     * Get the attribution function for the source.\n     * @return {?Attribution} Attribution function.\n     * @api\n     */\n    Source.prototype.getAttributions = function () {\n        return this.attributions_;\n    };\n    /**\n     * @return {boolean} Attributions are collapsible.\n     * @api\n     */\n    Source.prototype.getAttributionsCollapsible = function () {\n        return this.attributionsCollapsible_;\n    };\n    /**\n     * Get the projection of the source.\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     * @api\n     */\n    Source.prototype.getProjection = function () {\n        return this.projection;\n    };\n    /**\n     * @abstract\n     * @return {Array<number>|undefined} Resolutions.\n     */\n    Source.prototype.getResolutions = function () {\n        return abstract();\n    };\n    /**\n     * @return {Promise<import(\"../View.js\").ViewOptions>} A promise for view-related properties.\n     */\n    Source.prototype.getView = function () {\n        return this.viewPromise_;\n    };\n    /**\n     * Get the state of the source, see {@link module:ol/source/State~State} for possible states.\n     * @return {import(\"./State.js\").default} State.\n     * @api\n     */\n    Source.prototype.getState = function () {\n        return this.state_;\n    };\n    /**\n     * @return {boolean|undefined} Wrap X.\n     */\n    Source.prototype.getWrapX = function () {\n        return this.wrapX_;\n    };\n    /**\n     * @return {boolean} Use linear interpolation when resampling.\n     */\n    Source.prototype.getInterpolate = function () {\n        return this.interpolate_;\n    };\n    /**\n     * Refreshes the source. The source will be cleared, and data from the server will be reloaded.\n     * @api\n     */\n    Source.prototype.refresh = function () {\n        this.changed();\n    };\n    /**\n     * Set the attributions of the source.\n     * @param {AttributionLike|undefined} attributions Attributions.\n     *     Can be passed as `string`, `Array<string>`, {@link module:ol/source/Source~Attribution},\n     *     or `undefined`.\n     * @api\n     */\n    Source.prototype.setAttributions = function (attributions) {\n        this.attributions_ = adaptAttributions(attributions);\n        this.changed();\n    };\n    /**\n     * Set the state of the source.\n     * @param {import(\"./State.js\").default} state State.\n     */\n    Source.prototype.setState = function (state) {\n        this.state_ = state;\n        this.changed();\n    };\n    return Source;\n}(BaseObject));\n/**\n * Turns the attributions option into an attributions function.\n * @param {AttributionLike|undefined} attributionLike The attribution option.\n * @return {?Attribution} An attribution function (or null).\n */\nfunction adaptAttributions(attributionLike) {\n    if (!attributionLike) {\n        return null;\n    }\n    if (Array.isArray(attributionLike)) {\n        return function (frameState) {\n            return attributionLike;\n        };\n    }\n    if (typeof attributionLike === 'function') {\n        return attributionLike;\n    }\n    return function (frameState) {\n        return [attributionLike];\n    };\n}\nexport default Source;\n//# sourceMappingURL=Source.js.map","/**\n * @module ol/source/VectorEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered when a feature is added to the source.\n     * @event module:ol/source/Vector.VectorSourceEvent#addfeature\n     * @api\n     */\n    ADDFEATURE: 'addfeature',\n    /**\n     * Triggered when a feature is updated.\n     * @event module:ol/source/Vector.VectorSourceEvent#changefeature\n     * @api\n     */\n    CHANGEFEATURE: 'changefeature',\n    /**\n     * Triggered when the clear method is called on the source.\n     * @event module:ol/source/Vector.VectorSourceEvent#clear\n     * @api\n     */\n    CLEAR: 'clear',\n    /**\n     * Triggered when a feature is removed from the source.\n     * See {@link module:ol/source/Vector~VectorSource#clear source.clear()} for exceptions.\n     * @event module:ol/source/Vector.VectorSourceEvent#removefeature\n     * @api\n     */\n    REMOVEFEATURE: 'removefeature',\n    /**\n     * Triggered when features starts loading.\n     * @event module:ol/source/Vector.VectorSourceEvent#featuresloadstart\n     * @api\n     */\n    FEATURESLOADSTART: 'featuresloadstart',\n    /**\n     * Triggered when features finishes loading.\n     * @event module:ol/source/Vector.VectorSourceEvent#featuresloadend\n     * @api\n     */\n    FEATURESLOADEND: 'featuresloadend',\n    /**\n     * Triggered if feature loading results in an error.\n     * @event module:ol/source/Vector.VectorSourceEvent#featuresloaderror\n     * @api\n     */\n    FEATURESLOADERROR: 'featuresloaderror',\n};\n/**\n * @typedef {'addfeature'|'changefeature'|'clear'|'removefeature'|'featuresloadstart'|'featuresloadend'|'featuresloaderror'} VectorSourceEventTypes\n */\n//# sourceMappingURL=VectorEventType.js.map","/**\n * @module ol/loadingstrategy\n */\nimport { fromUserExtent, fromUserResolution, toUserExtent } from './proj.js';\n/**\n * Strategy function for loading all features with a single request.\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {number} resolution Resolution.\n * @return {Array<import(\"./extent.js\").Extent>} Extents.\n * @api\n */\nexport function all(extent, resolution) {\n    return [[-Infinity, -Infinity, Infinity, Infinity]];\n}\n/**\n * Strategy function for loading features based on the view's extent and\n * resolution.\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {number} resolution Resolution.\n * @return {Array<import(\"./extent.js\").Extent>} Extents.\n * @api\n */\nexport function bbox(extent, resolution) {\n    return [extent];\n}\n/**\n * Creates a strategy function for loading features based on a tile grid.\n * @param {import(\"./tilegrid/TileGrid.js\").default} tileGrid Tile grid.\n * @return {function(import(\"./extent.js\").Extent, number, import(\"./proj.js\").Projection): Array<import(\"./extent.js\").Extent>} Loading strategy.\n * @api\n */\nexport function tile(tileGrid) {\n    return (\n    /**\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {import(\"./proj.js\").Projection} projection Projection.\n     * @return {Array<import(\"./extent.js\").Extent>} Extents.\n     */\n    function (extent, resolution, projection) {\n        var z = tileGrid.getZForResolution(fromUserResolution(resolution, projection));\n        var tileRange = tileGrid.getTileRangeForExtentAndZ(fromUserExtent(extent, projection), z);\n        /** @type {Array<import(\"./extent.js\").Extent>} */\n        var extents = [];\n        /** @type {import(\"./tilecoord.js\").TileCoord} */\n        var tileCoord = [z, 0, 0];\n        for (tileCoord[1] = tileRange.minX; tileCoord[1] <= tileRange.maxX; ++tileCoord[1]) {\n            for (tileCoord[2] = tileRange.minY; tileCoord[2] <= tileRange.maxY; ++tileCoord[2]) {\n                extents.push(toUserExtent(tileGrid.getTileCoordExtent(tileCoord), projection));\n            }\n        }\n        return extents;\n    });\n}\n//# sourceMappingURL=loadingstrategy.js.map","/**\n * @module ol/format/FormatType\n */\n/**\n * @enum {string}\n */\nexport default {\n    ARRAY_BUFFER: 'arraybuffer',\n    JSON: 'json',\n    TEXT: 'text',\n    XML: 'xml',\n};\n//# sourceMappingURL=FormatType.js.map","/**\n * @module ol/featureloader\n */\nimport FormatType from './format/FormatType.js';\nimport { VOID } from './functions.js';\n/**\n *\n * @type {boolean}\n * @private\n */\nvar withCredentials = false;\n/**\n * {@link module:ol/source/Vector} sources use a function of this type to\n * load features.\n *\n * This function takes up to 5 arguments. These are an {@link module:ol/extent~Extent} representing\n * the area to be loaded, a `{number}` representing the resolution (map units per pixel), an\n * {@link module:ol/proj/Projection} for the projection, an optional success callback that should get\n * the loaded features passed as an argument and an optional failure callback with no arguments. If\n * the callbacks are not used, the corresponding vector source will not fire `'featuresloadend'` and\n * `'featuresloaderror'` events. `this` within the function is bound to the\n * {@link module:ol/source/Vector} it's called from.\n *\n * The function is responsible for loading the features and adding them to the\n * source.\n * @typedef {function(this:(import(\"./source/Vector\").default|import(\"./VectorTile.js\").default),\n *           import(\"./extent.js\").Extent,\n *           number,\n *           import(\"./proj/Projection.js\").default,\n *           function(Array<import(\"./Feature.js\").default>): void=,\n *           function(): void=): void} FeatureLoader\n * @api\n */\n/**\n * {@link module:ol/source/Vector} sources use a function of this type to\n * get the url to load features from.\n *\n * This function takes an {@link module:ol/extent~Extent} representing the area\n * to be loaded, a `{number}` representing the resolution (map units per pixel)\n * and an {@link module:ol/proj/Projection} for the projection  as\n * arguments and returns a `{string}` representing the URL.\n * @typedef {function(import(\"./extent.js\").Extent, number, import(\"./proj/Projection.js\").default): string} FeatureUrlFunction\n * @api\n */\n/**\n * @param {string|FeatureUrlFunction} url Feature URL service.\n * @param {import(\"./format/Feature.js\").default} format Feature format.\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {number} resolution Resolution.\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @param {function(Array<import(\"./Feature.js\").default>, import(\"./proj/Projection.js\").default): void} success Success\n *      Function called with the loaded features and optionally with the data projection.\n * @param {function(): void} failure Failure\n *      Function called when loading failed.\n */\nexport function loadFeaturesXhr(url, format, extent, resolution, projection, success, failure) {\n    var xhr = new XMLHttpRequest();\n    xhr.open('GET', typeof url === 'function' ? url(extent, resolution, projection) : url, true);\n    if (format.getType() == FormatType.ARRAY_BUFFER) {\n        xhr.responseType = 'arraybuffer';\n    }\n    xhr.withCredentials = withCredentials;\n    /**\n     * @param {Event} event Event.\n     * @private\n     */\n    xhr.onload = function (event) {\n        // status will be 0 for file:// urls\n        if (!xhr.status || (xhr.status >= 200 && xhr.status < 300)) {\n            var type = format.getType();\n            /** @type {Document|Node|Object|string|undefined} */\n            var source = void 0;\n            if (type == FormatType.JSON || type == FormatType.TEXT) {\n                source = xhr.responseText;\n            }\n            else if (type == FormatType.XML) {\n                source = xhr.responseXML;\n                if (!source) {\n                    source = new DOMParser().parseFromString(xhr.responseText, 'application/xml');\n                }\n            }\n            else if (type == FormatType.ARRAY_BUFFER) {\n                source = /** @type {ArrayBuffer} */ (xhr.response);\n            }\n            if (source) {\n                success(\n                /** @type {Array<import(\"./Feature.js\").default>} */\n                (format.readFeatures(source, {\n                    extent: extent,\n                    featureProjection: projection,\n                })), format.readProjection(source));\n            }\n            else {\n                failure();\n            }\n        }\n        else {\n            failure();\n        }\n    };\n    /**\n     * @private\n     */\n    xhr.onerror = failure;\n    xhr.send();\n}\n/**\n * Create an XHR feature loader for a `url` and `format`. The feature loader\n * loads features (with XHR), parses the features, and adds them to the\n * vector source.\n * @param {string|FeatureUrlFunction} url Feature URL service.\n * @param {import(\"./format/Feature.js\").default} format Feature format.\n * @return {FeatureLoader} The feature loader.\n * @api\n */\nexport function xhr(url, format) {\n    /**\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {import(\"./proj/Projection.js\").default} projection Projection.\n     * @param {function(Array<import(\"./Feature.js\").default>): void} [success] Success\n     *      Function called when loading succeeded.\n     * @param {function(): void} [failure] Failure\n     *      Function called when loading failed.\n     * @this {import(\"./source/Vector\").default}\n     */\n    return function (extent, resolution, projection, success, failure) {\n        var source = /** @type {import(\"./source/Vector\").default} */ (this);\n        loadFeaturesXhr(url, format, extent, resolution, projection, \n        /**\n         * @param {Array<import(\"./Feature.js\").default>} features The loaded features.\n         * @param {import(\"./proj/Projection.js\").default} dataProjection Data\n         * projection.\n         */\n        function (features, dataProjection) {\n            source.addFeatures(features);\n            if (success !== undefined) {\n                success(features);\n            }\n        }, \n        /* FIXME handle error */ failure ? failure : VOID);\n    };\n}\n/**\n * Setter for the withCredentials configuration for the XHR.\n *\n * @param {boolean} xhrWithCredentials The value of withCredentials to set.\n * Compare https://developer.mozilla.org/en-US/docs/Web/API/XMLHttpRequest/\n * @api\n */\nexport function setWithCredentials(xhrWithCredentials) {\n    withCredentials = xhrWithCredentials;\n}\n//# sourceMappingURL=featureloader.js.map","/**\n * @module ol/source/Vector\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport Collection from '../Collection.js';\nimport CollectionEventType from '../CollectionEventType.js';\nimport Event from '../events/Event.js';\nimport EventType from '../events/EventType.js';\nimport ObjectEventType from '../ObjectEventType.js';\nimport RBush from '../structs/RBush.js';\nimport Source from './Source.js';\nimport SourceState from './State.js';\nimport VectorEventType from './VectorEventType.js';\nimport { TRUE, VOID } from '../functions.js';\nimport { all as allStrategy } from '../loadingstrategy.js';\nimport { assert } from '../asserts.js';\nimport { containsExtent, equals } from '../extent.js';\nimport { extend } from '../array.js';\nimport { getUid } from '../util.js';\nimport { getValues, isEmpty } from '../obj.js';\nimport { listen, unlistenByKey } from '../events.js';\nimport { xhr } from '../featureloader.js';\n/**\n * A function that takes an {@link module:ol/extent~Extent} and a resolution as arguments, and\n * returns an array of {@link module:ol/extent~Extent} with the extents to load. Usually this\n * is one of the standard {@link module:ol/loadingstrategy} strategies.\n *\n * @typedef {function(import(\"../extent.js\").Extent, number, import(\"../proj/Projection.js\").default): Array<import(\"../extent.js\").Extent>} LoadingStrategy\n * @api\n */\n/**\n * @classdesc\n * Events emitted by {@link module:ol/source/Vector} instances are instances of this\n * type.\n * @template {import(\"../geom/Geometry.js\").default} Geometry\n */\nvar VectorSourceEvent = /** @class */ (function (_super) {\n    __extends(VectorSourceEvent, _super);\n    /**\n     * @param {string} type Type.\n     * @param {import(\"../Feature.js\").default<Geometry>} [opt_feature] Feature.\n     * @param {Array<import(\"../Feature.js\").default<Geometry>>} [opt_features] Features.\n     */\n    function VectorSourceEvent(type, opt_feature, opt_features) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The added or removed feature for the `ADDFEATURE` and `REMOVEFEATURE` events, `undefined` otherwise.\n         * @type {import(\"../Feature.js\").default<Geometry>|undefined}\n         * @api\n         */\n        _this.feature = opt_feature;\n        /**\n         * The loaded features for the `FEATURESLOADED` event, `undefined` otherwise.\n         * @type {Array<import(\"../Feature.js\").default<Geometry>>|undefined}\n         * @api\n         */\n        _this.features = opt_features;\n        return _this;\n    }\n    return VectorSourceEvent;\n}(Event));\nexport { VectorSourceEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types, import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./VectorEventType\").VectorSourceEventTypes, VectorSourceEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     import(\"./VectorEventType\").VectorSourceEventTypes, Return>} VectorSourceOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {Array<import(\"../Feature.js\").default>|Collection<import(\"../Feature.js\").default>} [features]\n * Features. If provided as {@link module:ol/Collection}, the features in the source\n * and the collection will stay in sync.\n * @property {import(\"../format/Feature.js\").default} [format] The feature format used by the XHR\n * feature loader when `url` is set. Required if `url` is set, otherwise ignored.\n * @property {import(\"../featureloader.js\").FeatureLoader} [loader]\n * The loader function used to load features, from a remote source for example.\n * If this is not set and `url` is set, the source will create and use an XHR\n * feature loader. The `'featuresloadend'` and `'featuresloaderror'` events\n * will only fire if the `success` and `failure` callbacks are used.\n *\n * Example:\n *\n * ```js\n * import {Vector} from 'ol/source';\n * import {GeoJSON} from 'ol/format';\n * import {bbox} from 'ol/loadingstrategy';\n *\n * var vectorSource = new Vector({\n *   format: new GeoJSON(),\n *   loader: function(extent, resolution, projection, success, failure) {\n *      var proj = projection.getCode();\n *      var url = 'https://ahocevar.com/geoserver/wfs?service=WFS&' +\n *          'version=1.1.0&request=GetFeature&typename=osm:water_areas&' +\n *          'outputFormat=application/json&srsname=' + proj + '&' +\n *          'bbox=' + extent.join(',') + ',' + proj;\n *      var xhr = new XMLHttpRequest();\n *      xhr.open('GET', url);\n *      var onError = function() {\n *        vectorSource.removeLoadedExtent(extent);\n *        failure();\n *      }\n *      xhr.onerror = onError;\n *      xhr.onload = function() {\n *        if (xhr.status == 200) {\n *          var features = vectorSource.getFormat().readFeatures(xhr.responseText);\n *          vectorSource.addFeatures(features);\n *          success(features);\n *        } else {\n *          onError();\n *        }\n *      }\n *      xhr.send();\n *    },\n *    strategy: bbox\n *  });\n * ```\n * @property {boolean} [overlaps=true] This source may have overlapping geometries.\n * Setting this to `false` (e.g. for sources with polygons that represent administrative\n * boundaries or TopoJSON sources) allows the renderer to optimise fill and\n * stroke operations.\n * @property {LoadingStrategy} [strategy] The loading strategy to use.\n * By default an {@link module:ol/loadingstrategy.all}\n * strategy is used, a one-off strategy which loads all features at once.\n * @property {string|import(\"../featureloader.js\").FeatureUrlFunction} [url]\n * Setting this option instructs the source to load features using an XHR loader\n * (see {@link module:ol/featureloader.xhr}). Use a `string` and an\n * {@link module:ol/loadingstrategy.all} for a one-off download of all features from\n * the given URL. Use a {@link module:ol/featureloader~FeatureUrlFunction} to generate the url with\n * other loading strategies.\n * Requires `format` to be set as well.\n * When default XHR feature loader is provided, the features will\n * be transformed from the data projection to the view projection\n * during parsing. If your remote data source does not advertise its projection\n * properly, this transformation will be incorrect. For some formats, the\n * default projection (usually EPSG:4326) can be overridden by setting the\n * dataProjection constructor option on the format.\n * Note that if a source contains non-feature data, such as a GeoJSON geometry\n * or a KML NetworkLink, these will be ignored. Use a custom loader to load these.\n * @property {boolean} [useSpatialIndex=true]\n * By default, an RTree is used as spatial index. When features are removed and\n * added frequently, and the total number of features is low, setting this to\n * `false` may improve performance.\n *\n * Note that\n * {@link module:ol/source/Vector~VectorSource#getFeaturesInExtent},\n * {@link module:ol/source/Vector~VectorSource#getClosestFeatureToCoordinate} and\n * {@link module:ol/source/Vector~VectorSource#getExtent} cannot be used when `useSpatialIndex` is\n * set to `false`, and {@link module:ol/source/Vector~VectorSource#forEachFeatureInExtent} will loop\n * through all features.\n *\n * When set to `false`, the features will be maintained in an\n * {@link module:ol/Collection}, which can be retrieved through\n * {@link module:ol/source/Vector~VectorSource#getFeaturesCollection}.\n * @property {boolean} [wrapX=true] Wrap the world horizontally. For vector editing across the\n * -180° and 180° meridians to work properly, this should be set to `false`. The\n * resulting geometry coordinates will then exceed the world bounds.\n */\n/**\n * @classdesc\n * Provides a source of features for vector layers. Vector features provided\n * by this source are suitable for editing. See {@link module:ol/source/VectorTile~VectorTile} for\n * vector data that is optimized for rendering.\n *\n * @fires VectorSourceEvent\n * @api\n * @template {import(\"../geom/Geometry.js\").default} Geometry\n */\nvar VectorSource = /** @class */ (function (_super) {\n    __extends(VectorSource, _super);\n    /**\n     * @param {Options} [opt_options] Vector source options.\n     */\n    function VectorSource(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            projection: undefined,\n            state: SourceState.READY,\n            wrapX: options.wrapX !== undefined ? options.wrapX : true,\n        }) || this;\n        /***\n         * @type {VectorSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {VectorSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {VectorSourceOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {import(\"../featureloader.js\").FeatureLoader}\n         */\n        _this.loader_ = VOID;\n        /**\n         * @private\n         * @type {import(\"../format/Feature.js\").default|undefined}\n         */\n        _this.format_ = options.format;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.overlaps_ = options.overlaps === undefined ? true : options.overlaps;\n        /**\n         * @private\n         * @type {string|import(\"../featureloader.js\").FeatureUrlFunction|undefined}\n         */\n        _this.url_ = options.url;\n        if (options.loader !== undefined) {\n            _this.loader_ = options.loader;\n        }\n        else if (_this.url_ !== undefined) {\n            assert(_this.format_, 7); // `format` must be set when `url` is set\n            // create a XHR feature loader for \"url\" and \"format\"\n            _this.loader_ = xhr(_this.url_, \n            /** @type {import(\"../format/Feature.js\").default} */ (_this.format_));\n        }\n        /**\n         * @private\n         * @type {LoadingStrategy}\n         */\n        _this.strategy_ =\n            options.strategy !== undefined ? options.strategy : allStrategy;\n        var useSpatialIndex = options.useSpatialIndex !== undefined ? options.useSpatialIndex : true;\n        /**\n         * @private\n         * @type {RBush<import(\"../Feature.js\").default<Geometry>>}\n         */\n        _this.featuresRtree_ = useSpatialIndex ? new RBush() : null;\n        /**\n         * @private\n         * @type {RBush<{extent: import(\"../extent.js\").Extent}>}\n         */\n        _this.loadedExtentsRtree_ = new RBush();\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.loadingExtentsCount_ = 0;\n        /**\n         * @private\n         * @type {!Object<string, import(\"../Feature.js\").default<Geometry>>}\n         */\n        _this.nullGeometryFeatures_ = {};\n        /**\n         * A lookup of features by id (the return from feature.getId()).\n         * @private\n         * @type {!Object<string, import(\"../Feature.js\").default<Geometry>>}\n         */\n        _this.idIndex_ = {};\n        /**\n         * A lookup of features by uid (using getUid(feature)).\n         * @private\n         * @type {!Object<string, import(\"../Feature.js\").default<Geometry>>}\n         */\n        _this.uidIndex_ = {};\n        /**\n         * @private\n         * @type {Object<string, Array<import(\"../events.js\").EventsKey>>}\n         */\n        _this.featureChangeKeys_ = {};\n        /**\n         * @private\n         * @type {Collection<import(\"../Feature.js\").default<Geometry>>}\n         */\n        _this.featuresCollection_ = null;\n        var collection, features;\n        if (Array.isArray(options.features)) {\n            features = options.features;\n        }\n        else if (options.features) {\n            collection = options.features;\n            features = collection.getArray();\n        }\n        if (!useSpatialIndex && collection === undefined) {\n            collection = new Collection(features);\n        }\n        if (features !== undefined) {\n            _this.addFeaturesInternal(features);\n        }\n        if (collection !== undefined) {\n            _this.bindFeaturesCollection_(collection);\n        }\n        return _this;\n    }\n    /**\n     * Add a single feature to the source.  If you want to add a batch of features\n     * at once, call {@link module:ol/source/Vector~VectorSource#addFeatures #addFeatures()}\n     * instead. A feature will not be added to the source if feature with\n     * the same id is already there. The reason for this behavior is to avoid\n     * feature duplication when using bbox or tile loading strategies.\n     * Note: this also applies if an {@link module:ol/Collection} is used for features,\n     * meaning that if a feature with a duplicate id is added in the collection, it will\n     * be removed from it right away.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature Feature to add.\n     * @api\n     */\n    VectorSource.prototype.addFeature = function (feature) {\n        this.addFeatureInternal(feature);\n        this.changed();\n    };\n    /**\n     * Add a feature without firing a `change` event.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature Feature.\n     * @protected\n     */\n    VectorSource.prototype.addFeatureInternal = function (feature) {\n        var featureKey = getUid(feature);\n        if (!this.addToIndex_(featureKey, feature)) {\n            if (this.featuresCollection_) {\n                this.featuresCollection_.remove(feature);\n            }\n            return;\n        }\n        this.setupChangeEvents_(featureKey, feature);\n        var geometry = feature.getGeometry();\n        if (geometry) {\n            var extent = geometry.getExtent();\n            if (this.featuresRtree_) {\n                this.featuresRtree_.insert(extent, feature);\n            }\n        }\n        else {\n            this.nullGeometryFeatures_[featureKey] = feature;\n        }\n        this.dispatchEvent(new VectorSourceEvent(VectorEventType.ADDFEATURE, feature));\n    };\n    /**\n     * @param {string} featureKey Unique identifier for the feature.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature The feature.\n     * @private\n     */\n    VectorSource.prototype.setupChangeEvents_ = function (featureKey, feature) {\n        this.featureChangeKeys_[featureKey] = [\n            listen(feature, EventType.CHANGE, this.handleFeatureChange_, this),\n            listen(feature, ObjectEventType.PROPERTYCHANGE, this.handleFeatureChange_, this),\n        ];\n    };\n    /**\n     * @param {string} featureKey Unique identifier for the feature.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature The feature.\n     * @return {boolean} The feature is \"valid\", in the sense that it is also a\n     *     candidate for insertion into the Rtree.\n     * @private\n     */\n    VectorSource.prototype.addToIndex_ = function (featureKey, feature) {\n        var valid = true;\n        var id = feature.getId();\n        if (id !== undefined) {\n            if (!(id.toString() in this.idIndex_)) {\n                this.idIndex_[id.toString()] = feature;\n            }\n            else {\n                valid = false;\n            }\n        }\n        if (valid) {\n            assert(!(featureKey in this.uidIndex_), 30); // The passed `feature` was already added to the source\n            this.uidIndex_[featureKey] = feature;\n        }\n        return valid;\n    };\n    /**\n     * Add a batch of features to the source.\n     * @param {Array<import(\"../Feature.js\").default<Geometry>>} features Features to add.\n     * @api\n     */\n    VectorSource.prototype.addFeatures = function (features) {\n        this.addFeaturesInternal(features);\n        this.changed();\n    };\n    /**\n     * Add features without firing a `change` event.\n     * @param {Array<import(\"../Feature.js\").default<Geometry>>} features Features.\n     * @protected\n     */\n    VectorSource.prototype.addFeaturesInternal = function (features) {\n        var extents = [];\n        var newFeatures = [];\n        var geometryFeatures = [];\n        for (var i = 0, length_1 = features.length; i < length_1; i++) {\n            var feature = features[i];\n            var featureKey = getUid(feature);\n            if (this.addToIndex_(featureKey, feature)) {\n                newFeatures.push(feature);\n            }\n        }\n        for (var i = 0, length_2 = newFeatures.length; i < length_2; i++) {\n            var feature = newFeatures[i];\n            var featureKey = getUid(feature);\n            this.setupChangeEvents_(featureKey, feature);\n            var geometry = feature.getGeometry();\n            if (geometry) {\n                var extent = geometry.getExtent();\n                extents.push(extent);\n                geometryFeatures.push(feature);\n            }\n            else {\n                this.nullGeometryFeatures_[featureKey] = feature;\n            }\n        }\n        if (this.featuresRtree_) {\n            this.featuresRtree_.load(extents, geometryFeatures);\n        }\n        for (var i = 0, length_3 = newFeatures.length; i < length_3; i++) {\n            this.dispatchEvent(new VectorSourceEvent(VectorEventType.ADDFEATURE, newFeatures[i]));\n        }\n    };\n    /**\n     * @param {!Collection<import(\"../Feature.js\").default<Geometry>>} collection Collection.\n     * @private\n     */\n    VectorSource.prototype.bindFeaturesCollection_ = function (collection) {\n        var modifyingCollection = false;\n        this.addEventListener(VectorEventType.ADDFEATURE, \n        /**\n         * @param {VectorSourceEvent<Geometry>} evt The vector source event\n         */\n        function (evt) {\n            if (!modifyingCollection) {\n                modifyingCollection = true;\n                collection.push(evt.feature);\n                modifyingCollection = false;\n            }\n        });\n        this.addEventListener(VectorEventType.REMOVEFEATURE, \n        /**\n         * @param {VectorSourceEvent<Geometry>} evt The vector source event\n         */\n        function (evt) {\n            if (!modifyingCollection) {\n                modifyingCollection = true;\n                collection.remove(evt.feature);\n                modifyingCollection = false;\n            }\n        });\n        collection.addEventListener(CollectionEventType.ADD, \n        /**\n         * @param {import(\"../Collection.js\").CollectionEvent} evt The collection event\n         */\n        function (evt) {\n            if (!modifyingCollection) {\n                modifyingCollection = true;\n                this.addFeature(\n                /** @type {import(\"../Feature.js\").default<Geometry>} */ (evt.element));\n                modifyingCollection = false;\n            }\n        }.bind(this));\n        collection.addEventListener(CollectionEventType.REMOVE, \n        /**\n         * @param {import(\"../Collection.js\").CollectionEvent} evt The collection event\n         */\n        function (evt) {\n            if (!modifyingCollection) {\n                modifyingCollection = true;\n                this.removeFeature(\n                /** @type {import(\"../Feature.js\").default<Geometry>} */ (evt.element));\n                modifyingCollection = false;\n            }\n        }.bind(this));\n        this.featuresCollection_ = collection;\n    };\n    /**\n     * Remove all features from the source.\n     * @param {boolean} [opt_fast] Skip dispatching of {@link module:ol/source/Vector.VectorSourceEvent#event:removefeature removefeature} events.\n     * @api\n     */\n    VectorSource.prototype.clear = function (opt_fast) {\n        if (opt_fast) {\n            for (var featureId in this.featureChangeKeys_) {\n                var keys = this.featureChangeKeys_[featureId];\n                keys.forEach(unlistenByKey);\n            }\n            if (!this.featuresCollection_) {\n                this.featureChangeKeys_ = {};\n                this.idIndex_ = {};\n                this.uidIndex_ = {};\n            }\n        }\n        else {\n            if (this.featuresRtree_) {\n                var removeAndIgnoreReturn = function (feature) {\n                    this.removeFeatureInternal(feature);\n                }.bind(this);\n                this.featuresRtree_.forEach(removeAndIgnoreReturn);\n                for (var id in this.nullGeometryFeatures_) {\n                    this.removeFeatureInternal(this.nullGeometryFeatures_[id]);\n                }\n            }\n        }\n        if (this.featuresCollection_) {\n            this.featuresCollection_.clear();\n        }\n        if (this.featuresRtree_) {\n            this.featuresRtree_.clear();\n        }\n        this.nullGeometryFeatures_ = {};\n        var clearEvent = new VectorSourceEvent(VectorEventType.CLEAR);\n        this.dispatchEvent(clearEvent);\n        this.changed();\n    };\n    /**\n     * Iterate through all features on the source, calling the provided callback\n     * with each one.  If the callback returns any \"truthy\" value, iteration will\n     * stop and the function will return the same value.\n     * Note: this function only iterate through the feature that have a defined geometry.\n     *\n     * @param {function(import(\"../Feature.js\").default<Geometry>): T} callback Called with each feature\n     *     on the source.  Return a truthy value to stop iteration.\n     * @return {T|undefined} The return value from the last call to the callback.\n     * @template T\n     * @api\n     */\n    VectorSource.prototype.forEachFeature = function (callback) {\n        if (this.featuresRtree_) {\n            return this.featuresRtree_.forEach(callback);\n        }\n        else if (this.featuresCollection_) {\n            this.featuresCollection_.forEach(callback);\n        }\n    };\n    /**\n     * Iterate through all features whose geometries contain the provided\n     * coordinate, calling the callback with each feature.  If the callback returns\n     * a \"truthy\" value, iteration will stop and the function will return the same\n     * value.\n     *\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {function(import(\"../Feature.js\").default<Geometry>): T} callback Called with each feature\n     *     whose goemetry contains the provided coordinate.\n     * @return {T|undefined} The return value from the last call to the callback.\n     * @template T\n     */\n    VectorSource.prototype.forEachFeatureAtCoordinateDirect = function (coordinate, callback) {\n        var extent = [coordinate[0], coordinate[1], coordinate[0], coordinate[1]];\n        return this.forEachFeatureInExtent(extent, function (feature) {\n            var geometry = feature.getGeometry();\n            if (geometry.intersectsCoordinate(coordinate)) {\n                return callback(feature);\n            }\n            else {\n                return undefined;\n            }\n        });\n    };\n    /**\n     * Iterate through all features whose bounding box intersects the provided\n     * extent (note that the feature's geometry may not intersect the extent),\n     * calling the callback with each feature.  If the callback returns a \"truthy\"\n     * value, iteration will stop and the function will return the same value.\n     *\n     * If you are interested in features whose geometry intersects an extent, call\n     * the {@link module:ol/source/Vector~VectorSource#forEachFeatureIntersectingExtent #forEachFeatureIntersectingExtent()} method instead.\n     *\n     * When `useSpatialIndex` is set to false, this method will loop through all\n     * features, equivalent to {@link module:ol/source/Vector~VectorSource#forEachFeature #forEachFeature()}.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {function(import(\"../Feature.js\").default<Geometry>): T} callback Called with each feature\n     *     whose bounding box intersects the provided extent.\n     * @return {T|undefined} The return value from the last call to the callback.\n     * @template T\n     * @api\n     */\n    VectorSource.prototype.forEachFeatureInExtent = function (extent, callback) {\n        if (this.featuresRtree_) {\n            return this.featuresRtree_.forEachInExtent(extent, callback);\n        }\n        else if (this.featuresCollection_) {\n            this.featuresCollection_.forEach(callback);\n        }\n    };\n    /**\n     * Iterate through all features whose geometry intersects the provided extent,\n     * calling the callback with each feature.  If the callback returns a \"truthy\"\n     * value, iteration will stop and the function will return the same value.\n     *\n     * If you only want to test for bounding box intersection, call the\n     * {@link module:ol/source/Vector~VectorSource#forEachFeatureInExtent #forEachFeatureInExtent()} method instead.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {function(import(\"../Feature.js\").default<Geometry>): T} callback Called with each feature\n     *     whose geometry intersects the provided extent.\n     * @return {T|undefined} The return value from the last call to the callback.\n     * @template T\n     * @api\n     */\n    VectorSource.prototype.forEachFeatureIntersectingExtent = function (extent, callback) {\n        return this.forEachFeatureInExtent(extent, \n        /**\n         * @param {import(\"../Feature.js\").default<Geometry>} feature Feature.\n         * @return {T|undefined} The return value from the last call to the callback.\n         */\n        function (feature) {\n            var geometry = feature.getGeometry();\n            if (geometry.intersectsExtent(extent)) {\n                var result = callback(feature);\n                if (result) {\n                    return result;\n                }\n            }\n        });\n    };\n    /**\n     * Get the features collection associated with this source. Will be `null`\n     * unless the source was configured with `useSpatialIndex` set to `false`, or\n     * with an {@link module:ol/Collection} as `features`.\n     * @return {Collection<import(\"../Feature.js\").default<Geometry>>} The collection of features.\n     * @api\n     */\n    VectorSource.prototype.getFeaturesCollection = function () {\n        return this.featuresCollection_;\n    };\n    /**\n     * Get a snapshot of the features currently on the source in random order. The returned array\n     * is a copy, the features are references to the features in the source.\n     * @return {Array<import(\"../Feature.js\").default<Geometry>>} Features.\n     * @api\n     */\n    VectorSource.prototype.getFeatures = function () {\n        var features;\n        if (this.featuresCollection_) {\n            features = this.featuresCollection_.getArray().slice(0);\n        }\n        else if (this.featuresRtree_) {\n            features = this.featuresRtree_.getAll();\n            if (!isEmpty(this.nullGeometryFeatures_)) {\n                extend(features, getValues(this.nullGeometryFeatures_));\n            }\n        }\n        return /** @type {Array<import(\"../Feature.js\").default<Geometry>>} */ (features);\n    };\n    /**\n     * Get all features whose geometry intersects the provided coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @return {Array<import(\"../Feature.js\").default<Geometry>>} Features.\n     * @api\n     */\n    VectorSource.prototype.getFeaturesAtCoordinate = function (coordinate) {\n        var features = [];\n        this.forEachFeatureAtCoordinateDirect(coordinate, function (feature) {\n            features.push(feature);\n        });\n        return features;\n    };\n    /**\n     * Get all features whose bounding box intersects the provided extent.  Note that this returns an array of\n     * all features intersecting the given extent in random order (so it may include\n     * features whose geometries do not intersect the extent).\n     *\n     * When `useSpatialIndex` is set to false, this method will return all\n     * features.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {Array<import(\"../Feature.js\").default<Geometry>>} Features.\n     * @api\n     */\n    VectorSource.prototype.getFeaturesInExtent = function (extent) {\n        if (this.featuresRtree_) {\n            return this.featuresRtree_.getInExtent(extent);\n        }\n        else if (this.featuresCollection_) {\n            return this.featuresCollection_.getArray().slice(0);\n        }\n        else {\n            return [];\n        }\n    };\n    /**\n     * Get the closest feature to the provided coordinate.\n     *\n     * This method is not available when the source is configured with\n     * `useSpatialIndex` set to `false`.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {function(import(\"../Feature.js\").default<Geometry>):boolean} [opt_filter] Feature filter function.\n     *     The filter function will receive one argument, the {@link module:ol/Feature feature}\n     *     and it should return a boolean value. By default, no filtering is made.\n     * @return {import(\"../Feature.js\").default<Geometry>} Closest feature.\n     * @api\n     */\n    VectorSource.prototype.getClosestFeatureToCoordinate = function (coordinate, opt_filter) {\n        // Find the closest feature using branch and bound.  We start searching an\n        // infinite extent, and find the distance from the first feature found.  This\n        // becomes the closest feature.  We then compute a smaller extent which any\n        // closer feature must intersect.  We continue searching with this smaller\n        // extent, trying to find a closer feature.  Every time we find a closer\n        // feature, we update the extent being searched so that any even closer\n        // feature must intersect it.  We continue until we run out of features.\n        var x = coordinate[0];\n        var y = coordinate[1];\n        var closestFeature = null;\n        var closestPoint = [NaN, NaN];\n        var minSquaredDistance = Infinity;\n        var extent = [-Infinity, -Infinity, Infinity, Infinity];\n        var filter = opt_filter ? opt_filter : TRUE;\n        this.featuresRtree_.forEachInExtent(extent, \n        /**\n         * @param {import(\"../Feature.js\").default<Geometry>} feature Feature.\n         */\n        function (feature) {\n            if (filter(feature)) {\n                var geometry = feature.getGeometry();\n                var previousMinSquaredDistance = minSquaredDistance;\n                minSquaredDistance = geometry.closestPointXY(x, y, closestPoint, minSquaredDistance);\n                if (minSquaredDistance < previousMinSquaredDistance) {\n                    closestFeature = feature;\n                    // This is sneaky.  Reduce the extent that it is currently being\n                    // searched while the R-Tree traversal using this same extent object\n                    // is still in progress.  This is safe because the new extent is\n                    // strictly contained by the old extent.\n                    var minDistance = Math.sqrt(minSquaredDistance);\n                    extent[0] = x - minDistance;\n                    extent[1] = y - minDistance;\n                    extent[2] = x + minDistance;\n                    extent[3] = y + minDistance;\n                }\n            }\n        });\n        return closestFeature;\n    };\n    /**\n     * Get the extent of the features currently in the source.\n     *\n     * This method is not available when the source is configured with\n     * `useSpatialIndex` set to `false`.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Destination extent. If provided, no new extent\n     *     will be created. Instead, that extent's coordinates will be overwritten.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    VectorSource.prototype.getExtent = function (opt_extent) {\n        return this.featuresRtree_.getExtent(opt_extent);\n    };\n    /**\n     * Get a feature by its identifier (the value returned by feature.getId()).\n     * Note that the index treats string and numeric identifiers as the same.  So\n     * `source.getFeatureById(2)` will return a feature with id `'2'` or `2`.\n     *\n     * @param {string|number} id Feature identifier.\n     * @return {import(\"../Feature.js\").default<Geometry>} The feature (or `null` if not found).\n     * @api\n     */\n    VectorSource.prototype.getFeatureById = function (id) {\n        var feature = this.idIndex_[id.toString()];\n        return feature !== undefined ? feature : null;\n    };\n    /**\n     * Get a feature by its internal unique identifier (using `getUid`).\n     *\n     * @param {string} uid Feature identifier.\n     * @return {import(\"../Feature.js\").default<Geometry>} The feature (or `null` if not found).\n     */\n    VectorSource.prototype.getFeatureByUid = function (uid) {\n        var feature = this.uidIndex_[uid];\n        return feature !== undefined ? feature : null;\n    };\n    /**\n     * Get the format associated with this source.\n     *\n     * @return {import(\"../format/Feature.js\").default|undefined} The feature format.\n     * @api\n     */\n    VectorSource.prototype.getFormat = function () {\n        return this.format_;\n    };\n    /**\n     * @return {boolean} The source can have overlapping geometries.\n     */\n    VectorSource.prototype.getOverlaps = function () {\n        return this.overlaps_;\n    };\n    /**\n     * Get the url associated with this source.\n     *\n     * @return {string|import(\"../featureloader.js\").FeatureUrlFunction|undefined} The url.\n     * @api\n     */\n    VectorSource.prototype.getUrl = function () {\n        return this.url_;\n    };\n    /**\n     * @param {Event} event Event.\n     * @private\n     */\n    VectorSource.prototype.handleFeatureChange_ = function (event) {\n        var feature = /** @type {import(\"../Feature.js\").default<Geometry>} */ (event.target);\n        var featureKey = getUid(feature);\n        var geometry = feature.getGeometry();\n        if (!geometry) {\n            if (!(featureKey in this.nullGeometryFeatures_)) {\n                if (this.featuresRtree_) {\n                    this.featuresRtree_.remove(feature);\n                }\n                this.nullGeometryFeatures_[featureKey] = feature;\n            }\n        }\n        else {\n            var extent = geometry.getExtent();\n            if (featureKey in this.nullGeometryFeatures_) {\n                delete this.nullGeometryFeatures_[featureKey];\n                if (this.featuresRtree_) {\n                    this.featuresRtree_.insert(extent, feature);\n                }\n            }\n            else {\n                if (this.featuresRtree_) {\n                    this.featuresRtree_.update(extent, feature);\n                }\n            }\n        }\n        var id = feature.getId();\n        if (id !== undefined) {\n            var sid = id.toString();\n            if (this.idIndex_[sid] !== feature) {\n                this.removeFromIdIndex_(feature);\n                this.idIndex_[sid] = feature;\n            }\n        }\n        else {\n            this.removeFromIdIndex_(feature);\n            this.uidIndex_[featureKey] = feature;\n        }\n        this.changed();\n        this.dispatchEvent(new VectorSourceEvent(VectorEventType.CHANGEFEATURE, feature));\n    };\n    /**\n     * Returns true if the feature is contained within the source.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature Feature.\n     * @return {boolean} Has feature.\n     * @api\n     */\n    VectorSource.prototype.hasFeature = function (feature) {\n        var id = feature.getId();\n        if (id !== undefined) {\n            return id in this.idIndex_;\n        }\n        else {\n            return getUid(feature) in this.uidIndex_;\n        }\n    };\n    /**\n     * @return {boolean} Is empty.\n     */\n    VectorSource.prototype.isEmpty = function () {\n        return this.featuresRtree_.isEmpty() && isEmpty(this.nullGeometryFeatures_);\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     */\n    VectorSource.prototype.loadFeatures = function (extent, resolution, projection) {\n        var loadedExtentsRtree = this.loadedExtentsRtree_;\n        var extentsToLoad = this.strategy_(extent, resolution, projection);\n        var _loop_1 = function (i, ii) {\n            var extentToLoad = extentsToLoad[i];\n            var alreadyLoaded = loadedExtentsRtree.forEachInExtent(extentToLoad, \n            /**\n             * @param {{extent: import(\"../extent.js\").Extent}} object Object.\n             * @return {boolean} Contains.\n             */\n            function (object) {\n                return containsExtent(object.extent, extentToLoad);\n            });\n            if (!alreadyLoaded) {\n                ++this_1.loadingExtentsCount_;\n                this_1.dispatchEvent(new VectorSourceEvent(VectorEventType.FEATURESLOADSTART));\n                this_1.loader_.call(this_1, extentToLoad, resolution, projection, function (features) {\n                    --this.loadingExtentsCount_;\n                    this.dispatchEvent(new VectorSourceEvent(VectorEventType.FEATURESLOADEND, undefined, features));\n                }.bind(this_1), function () {\n                    --this.loadingExtentsCount_;\n                    this.dispatchEvent(new VectorSourceEvent(VectorEventType.FEATURESLOADERROR));\n                }.bind(this_1));\n                loadedExtentsRtree.insert(extentToLoad, { extent: extentToLoad.slice() });\n            }\n        };\n        var this_1 = this;\n        for (var i = 0, ii = extentsToLoad.length; i < ii; ++i) {\n            _loop_1(i, ii);\n        }\n        this.loading =\n            this.loader_.length < 4 ? false : this.loadingExtentsCount_ > 0;\n    };\n    VectorSource.prototype.refresh = function () {\n        this.clear(true);\n        this.loadedExtentsRtree_.clear();\n        _super.prototype.refresh.call(this);\n    };\n    /**\n     * Remove an extent from the list of loaded extents.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @api\n     */\n    VectorSource.prototype.removeLoadedExtent = function (extent) {\n        var loadedExtentsRtree = this.loadedExtentsRtree_;\n        var obj;\n        loadedExtentsRtree.forEachInExtent(extent, function (object) {\n            if (equals(object.extent, extent)) {\n                obj = object;\n                return true;\n            }\n        });\n        if (obj) {\n            loadedExtentsRtree.remove(obj);\n        }\n    };\n    /**\n     * Remove a single feature from the source.  If you want to remove all features\n     * at once, use the {@link module:ol/source/Vector~VectorSource#clear #clear()} method\n     * instead.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature Feature to remove.\n     * @api\n     */\n    VectorSource.prototype.removeFeature = function (feature) {\n        if (!feature) {\n            return;\n        }\n        var featureKey = getUid(feature);\n        if (featureKey in this.nullGeometryFeatures_) {\n            delete this.nullGeometryFeatures_[featureKey];\n        }\n        else {\n            if (this.featuresRtree_) {\n                this.featuresRtree_.remove(feature);\n            }\n        }\n        var result = this.removeFeatureInternal(feature);\n        if (result) {\n            this.changed();\n        }\n    };\n    /**\n     * Remove feature without firing a `change` event.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature Feature.\n     * @return {import(\"../Feature.js\").default<Geometry>|undefined} The removed feature\n     *     (or undefined if the feature was not found).\n     * @protected\n     */\n    VectorSource.prototype.removeFeatureInternal = function (feature) {\n        var featureKey = getUid(feature);\n        var featureChangeKeys = this.featureChangeKeys_[featureKey];\n        if (!featureChangeKeys) {\n            return;\n        }\n        featureChangeKeys.forEach(unlistenByKey);\n        delete this.featureChangeKeys_[featureKey];\n        var id = feature.getId();\n        if (id !== undefined) {\n            delete this.idIndex_[id.toString()];\n        }\n        delete this.uidIndex_[featureKey];\n        this.dispatchEvent(new VectorSourceEvent(VectorEventType.REMOVEFEATURE, feature));\n        return feature;\n    };\n    /**\n     * Remove a feature from the id index.  Called internally when the feature id\n     * may have changed.\n     * @param {import(\"../Feature.js\").default<Geometry>} feature The feature.\n     * @return {boolean} Removed the feature from the index.\n     * @private\n     */\n    VectorSource.prototype.removeFromIdIndex_ = function (feature) {\n        var removed = false;\n        for (var id in this.idIndex_) {\n            if (this.idIndex_[id] === feature) {\n                delete this.idIndex_[id];\n                removed = true;\n                break;\n            }\n        }\n        return removed;\n    };\n    /**\n     * Set the new loader of the source. The next render cycle will use the\n     * new loader.\n     * @param {import(\"../featureloader.js\").FeatureLoader} loader The loader to set.\n     * @api\n     */\n    VectorSource.prototype.setLoader = function (loader) {\n        this.loader_ = loader;\n    };\n    /**\n     * Points the source to a new url. The next render cycle will use the new url.\n     * @param {string|import(\"../featureloader.js\").FeatureUrlFunction} url Url.\n     * @api\n     */\n    VectorSource.prototype.setUrl = function (url) {\n        assert(this.format_, 7); // `format` must be set when `url` is set\n        this.url_ = url;\n        this.setLoader(xhr(url, this.format_));\n    };\n    return VectorSource;\n}(Source));\nexport default VectorSource;\n//# sourceMappingURL=Vector.js.map","/**\n * @module ol/TileState\n */\n/**\n * @enum {number}\n */\nexport default {\n    IDLE: 0,\n    LOADING: 1,\n    LOADED: 2,\n    /**\n     * Indicates that tile loading failed\n     * @type {number}\n     */\n    ERROR: 3,\n    EMPTY: 4,\n};\n//# sourceMappingURL=TileState.js.map","/**\n * @module ol/easing\n */\n/**\n * Start slow and speed up.\n * @param {number} t Input between 0 and 1.\n * @return {number} Output between 0 and 1.\n * @api\n */\nexport function easeIn(t) {\n    return Math.pow(t, 3);\n}\n/**\n * Start fast and slow down.\n * @param {number} t Input between 0 and 1.\n * @return {number} Output between 0 and 1.\n * @api\n */\nexport function easeOut(t) {\n    return 1 - easeIn(1 - t);\n}\n/**\n * Start slow, speed up, and then slow down again.\n * @param {number} t Input between 0 and 1.\n * @return {number} Output between 0 and 1.\n * @api\n */\nexport function inAndOut(t) {\n    return 3 * t * t - 2 * t * t * t;\n}\n/**\n * Maintain a constant speed over time.\n * @param {number} t Input between 0 and 1.\n * @return {number} Output between 0 and 1.\n * @api\n */\nexport function linear(t) {\n    return t;\n}\n/**\n * Start slow, speed up, and at the very end slow down again.  This has the\n * same general behavior as {@link module:ol/easing.inAndOut}, but the final\n * slowdown is delayed.\n * @param {number} t Input between 0 and 1.\n * @return {number} Output between 0 and 1.\n * @api\n */\nexport function upAndDown(t) {\n    if (t < 0.5) {\n        return inAndOut(2 * t);\n    }\n    else {\n        return 1 - inAndOut(2 * (t - 0.5));\n    }\n}\n//# sourceMappingURL=easing.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Tile\n */\nimport EventTarget from './events/Target.js';\nimport EventType from './events/EventType.js';\nimport TileState from './TileState.js';\nimport { abstract } from './util.js';\nimport { easeIn } from './easing.js';\n/**\n * A function that takes an {@link module:ol/Tile} for the tile and a\n * `{string}` for the url as arguments. The default is\n * ```js\n * source.setTileLoadFunction(function(tile, src) {\n *   tile.getImage().src = src;\n * });\n * ```\n * For more fine grained control, the load function can use fetch or XMLHttpRequest and involve\n * error handling:\n *\n * ```js\n * import TileState from 'ol/TileState';\n *\n * source.setTileLoadFunction(function(tile, src) {\n *   var xhr = new XMLHttpRequest();\n *   xhr.responseType = 'blob';\n *   xhr.addEventListener('loadend', function (evt) {\n *     var data = this.response;\n *     if (data !== undefined) {\n *       tile.getImage().src = URL.createObjectURL(data);\n *     } else {\n *       tile.setState(TileState.ERROR);\n *     }\n *   });\n *   xhr.addEventListener('error', function () {\n *     tile.setState(TileState.ERROR);\n *   });\n *   xhr.open('GET', src);\n *   xhr.send();\n * });\n * ```\n *\n * @typedef {function(Tile, string): void} LoadFunction\n * @api\n */\n/**\n * {@link module:ol/source/Tile~Tile} sources use a function of this type to get\n * the url that provides a tile for a given tile coordinate.\n *\n * This function takes an {@link module:ol/tilecoord~TileCoord} for the tile\n * coordinate, a `{number}` representing the pixel ratio and a\n * {@link module:ol/proj/Projection} for the projection  as arguments\n * and returns a `{string}` representing the tile URL, or undefined if no tile\n * should be requested for the passed tile coordinate.\n *\n * @typedef {function(import(\"./tilecoord.js\").TileCoord, number,\n *           import(\"./proj/Projection.js\").default): (string|undefined)} UrlFunction\n * @api\n */\n/**\n * @typedef {Object} Options\n * @property {number} [transition=250] A duration for tile opacity\n * transitions in milliseconds. A duration of 0 disables the opacity transition.\n * @property {boolean} [interpolate=false] Use interpolated values when resampling.  By default,\n * the nearest neighbor is used when resampling.\n * @api\n */\n/**\n * @classdesc\n * Base class for tiles.\n *\n * @abstract\n */\nvar Tile = /** @class */ (function (_super) {\n    __extends(Tile, _super);\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"./TileState.js\").default} state State.\n     * @param {Options} [opt_options] Tile options.\n     */\n    function Tile(tileCoord, state, opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @type {import(\"./tilecoord.js\").TileCoord}\n         */\n        _this.tileCoord = tileCoord;\n        /**\n         * @protected\n         * @type {import(\"./TileState.js\").default}\n         */\n        _this.state = state;\n        /**\n         * An \"interim\" tile for this tile. The interim tile may be used while this\n         * one is loading, for \"smooth\" transitions when changing params/dimensions\n         * on the source.\n         * @type {Tile}\n         */\n        _this.interimTile = null;\n        /**\n         * A key assigned to the tile. This is used by the tile source to determine\n         * if this tile can effectively be used, or if a new tile should be created\n         * and this one be used as an interim tile for this new tile.\n         * @type {string}\n         */\n        _this.key = '';\n        /**\n         * The duration for the opacity transition.\n         * @type {number}\n         */\n        _this.transition_ =\n            options.transition === undefined ? 250 : options.transition;\n        /**\n         * Lookup of start times for rendering transitions.  If the start time is\n         * equal to -1, the transition is complete.\n         * @type {Object<string, number>}\n         */\n        _this.transitionStarts_ = {};\n        /**\n         * @type {boolean}\n         */\n        _this.interpolate = !!options.interpolate;\n        return _this;\n    }\n    /**\n     * @protected\n     */\n    Tile.prototype.changed = function () {\n        this.dispatchEvent(EventType.CHANGE);\n    };\n    /**\n     * Called by the tile cache when the tile is removed from the cache due to expiry\n     */\n    Tile.prototype.release = function () { };\n    /**\n     * @return {string} Key.\n     */\n    Tile.prototype.getKey = function () {\n        return this.key + '/' + this.tileCoord;\n    };\n    /**\n     * Get the interim tile most suitable for rendering using the chain of interim\n     * tiles. This corresponds to the  most recent tile that has been loaded, if no\n     * such tile exists, the original tile is returned.\n     * @return {!Tile} Best tile for rendering.\n     */\n    Tile.prototype.getInterimTile = function () {\n        if (!this.interimTile) {\n            //empty chain\n            return this;\n        }\n        var tile = this.interimTile;\n        // find the first loaded tile and return it. Since the chain is sorted in\n        // decreasing order of creation time, there is no need to search the remainder\n        // of the list (all those tiles correspond to older requests and will be\n        // cleaned up by refreshInterimChain)\n        do {\n            if (tile.getState() == TileState.LOADED) {\n                // Show tile immediately instead of fading it in after loading, because\n                // the interim tile is in place already\n                this.transition_ = 0;\n                return tile;\n            }\n            tile = tile.interimTile;\n        } while (tile);\n        // we can not find a better tile\n        return this;\n    };\n    /**\n     * Goes through the chain of interim tiles and discards sections of the chain\n     * that are no longer relevant.\n     */\n    Tile.prototype.refreshInterimChain = function () {\n        if (!this.interimTile) {\n            return;\n        }\n        var tile = this.interimTile;\n        /**\n         * @type {Tile}\n         */\n        var prev = this;\n        do {\n            if (tile.getState() == TileState.LOADED) {\n                //we have a loaded tile, we can discard the rest of the list\n                //we would could abort any LOADING tile request\n                //older than this tile (i.e. any LOADING tile following this entry in the chain)\n                tile.interimTile = null;\n                break;\n            }\n            else if (tile.getState() == TileState.LOADING) {\n                //keep this LOADING tile any loaded tiles later in the chain are\n                //older than this tile, so we're still interested in the request\n                prev = tile;\n            }\n            else if (tile.getState() == TileState.IDLE) {\n                //the head of the list is the most current tile, we don't need\n                //to start any other requests for this chain\n                prev.interimTile = tile.interimTile;\n            }\n            else {\n                prev = tile;\n            }\n            tile = prev.interimTile;\n        } while (tile);\n    };\n    /**\n     * Get the tile coordinate for this tile.\n     * @return {import(\"./tilecoord.js\").TileCoord} The tile coordinate.\n     * @api\n     */\n    Tile.prototype.getTileCoord = function () {\n        return this.tileCoord;\n    };\n    /**\n     * @return {import(\"./TileState.js\").default} State.\n     */\n    Tile.prototype.getState = function () {\n        return this.state;\n    };\n    /**\n     * Sets the state of this tile. If you write your own {@link module:ol/Tile~LoadFunction tileLoadFunction} ,\n     * it is important to set the state correctly to {@link module:ol/TileState~ERROR}\n     * when the tile cannot be loaded. Otherwise the tile cannot be removed from\n     * the tile queue and will block other requests.\n     * @param {import(\"./TileState.js\").default} state State.\n     * @api\n     */\n    Tile.prototype.setState = function (state) {\n        if (this.state !== TileState.ERROR && this.state > state) {\n            throw new Error('Tile load sequence violation');\n        }\n        this.state = state;\n        this.changed();\n    };\n    /**\n     * Load the image or retry if loading previously failed.\n     * Loading is taken care of by the tile queue, and calling this method is\n     * only needed for preloading or for reloading in case of an error.\n     * @abstract\n     * @api\n     */\n    Tile.prototype.load = function () {\n        abstract();\n    };\n    /**\n     * Get the alpha value for rendering.\n     * @param {string} id An id for the renderer.\n     * @param {number} time The render frame time.\n     * @return {number} A number between 0 and 1.\n     */\n    Tile.prototype.getAlpha = function (id, time) {\n        if (!this.transition_) {\n            return 1;\n        }\n        var start = this.transitionStarts_[id];\n        if (!start) {\n            start = time;\n            this.transitionStarts_[id] = start;\n        }\n        else if (start === -1) {\n            return 1;\n        }\n        var delta = time - start + 1000 / 60; // avoid rendering at 0\n        if (delta >= this.transition_) {\n            return 1;\n        }\n        return easeIn(delta / this.transition_);\n    };\n    /**\n     * Determine if a tile is in an alpha transition.  A tile is considered in\n     * transition if tile.getAlpha() has not yet been called or has been called\n     * and returned 1.\n     * @param {string} id An id for the renderer.\n     * @return {boolean} The tile is in transition.\n     */\n    Tile.prototype.inTransition = function (id) {\n        if (!this.transition_) {\n            return false;\n        }\n        return this.transitionStarts_[id] !== -1;\n    };\n    /**\n     * Mark a transition as complete.\n     * @param {string} id An id for the renderer.\n     */\n    Tile.prototype.endTransition = function (id) {\n        if (this.transition_) {\n            this.transitionStarts_[id] = -1;\n        }\n    };\n    return Tile;\n}(EventTarget));\nexport default Tile;\n//# sourceMappingURL=Tile.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/ImageTile\n */\nimport Tile from './Tile.js';\nimport TileState from './TileState.js';\nimport { createCanvasContext2D } from './dom.js';\nimport { listenImage } from './Image.js';\nvar ImageTile = /** @class */ (function (_super) {\n    __extends(ImageTile, _super);\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"./TileState.js\").default} state State.\n     * @param {string} src Image source URI.\n     * @param {?string} crossOrigin Cross origin.\n     * @param {import(\"./Tile.js\").LoadFunction} tileLoadFunction Tile load function.\n     * @param {import(\"./Tile.js\").Options} [opt_options] Tile options.\n     */\n    function ImageTile(tileCoord, state, src, crossOrigin, tileLoadFunction, opt_options) {\n        var _this = _super.call(this, tileCoord, state, opt_options) || this;\n        /**\n         * @private\n         * @type {?string}\n         */\n        _this.crossOrigin_ = crossOrigin;\n        /**\n         * Image URI\n         *\n         * @private\n         * @type {string}\n         */\n        _this.src_ = src;\n        _this.key = src;\n        /**\n         * @private\n         * @type {HTMLImageElement|HTMLCanvasElement}\n         */\n        _this.image_ = new Image();\n        if (crossOrigin !== null) {\n            _this.image_.crossOrigin = crossOrigin;\n        }\n        /**\n         * @private\n         * @type {?function():void}\n         */\n        _this.unlisten_ = null;\n        /**\n         * @private\n         * @type {import(\"./Tile.js\").LoadFunction}\n         */\n        _this.tileLoadFunction_ = tileLoadFunction;\n        return _this;\n    }\n    /**\n     * Get the HTML image element for this tile (may be a Canvas, Image, or Video).\n     * @return {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} Image.\n     * @api\n     */\n    ImageTile.prototype.getImage = function () {\n        return this.image_;\n    };\n    /**\n     * Sets an HTML image element for this tile (may be a Canvas or preloaded Image).\n     * @param {HTMLCanvasElement|HTMLImageElement} element Element.\n     */\n    ImageTile.prototype.setImage = function (element) {\n        this.image_ = element;\n        this.state = TileState.LOADED;\n        this.unlistenImage_();\n        this.changed();\n    };\n    /**\n     * Tracks loading or read errors.\n     *\n     * @private\n     */\n    ImageTile.prototype.handleImageError_ = function () {\n        this.state = TileState.ERROR;\n        this.unlistenImage_();\n        this.image_ = getBlankImage();\n        this.changed();\n    };\n    /**\n     * Tracks successful image load.\n     *\n     * @private\n     */\n    ImageTile.prototype.handleImageLoad_ = function () {\n        var image = /** @type {HTMLImageElement} */ (this.image_);\n        if (image.naturalWidth && image.naturalHeight) {\n            this.state = TileState.LOADED;\n        }\n        else {\n            this.state = TileState.EMPTY;\n        }\n        this.unlistenImage_();\n        this.changed();\n    };\n    /**\n     * Load not yet loaded URI.\n     * @api\n     */\n    ImageTile.prototype.load = function () {\n        if (this.state == TileState.ERROR) {\n            this.state = TileState.IDLE;\n            this.image_ = new Image();\n            if (this.crossOrigin_ !== null) {\n                this.image_.crossOrigin = this.crossOrigin_;\n            }\n        }\n        if (this.state == TileState.IDLE) {\n            this.state = TileState.LOADING;\n            this.changed();\n            this.tileLoadFunction_(this, this.src_);\n            this.unlisten_ = listenImage(this.image_, this.handleImageLoad_.bind(this), this.handleImageError_.bind(this));\n        }\n    };\n    /**\n     * Discards event handlers which listen for load completion or errors.\n     *\n     * @private\n     */\n    ImageTile.prototype.unlistenImage_ = function () {\n        if (this.unlisten_) {\n            this.unlisten_();\n            this.unlisten_ = null;\n        }\n    };\n    return ImageTile;\n}(Tile));\n/**\n * Get a 1-pixel blank image.\n * @return {HTMLCanvasElement} Blank image.\n */\nfunction getBlankImage() {\n    var ctx = createCanvasContext2D(1, 1);\n    ctx.fillStyle = 'rgba(0,0,0,0)';\n    ctx.fillRect(0, 0, 1, 1);\n    return ctx.canvas;\n}\nexport default ImageTile;\n//# sourceMappingURL=ImageTile.js.map","/**\n * @module ol/Kinetic\n */\n/**\n * @classdesc\n * Implementation of inertial deceleration for map movement.\n *\n * @api\n */\nvar Kinetic = /** @class */ (function () {\n    /**\n     * @param {number} decay Rate of decay (must be negative).\n     * @param {number} minVelocity Minimum velocity (pixels/millisecond).\n     * @param {number} delay Delay to consider to calculate the kinetic\n     *     initial values (milliseconds).\n     */\n    function Kinetic(decay, minVelocity, delay) {\n        /**\n         * @private\n         * @type {number}\n         */\n        this.decay_ = decay;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.minVelocity_ = minVelocity;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.delay_ = delay;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.points_ = [];\n        /**\n         * @private\n         * @type {number}\n         */\n        this.angle_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.initialVelocity_ = 0;\n    }\n    /**\n     * FIXME empty description for jsdoc\n     */\n    Kinetic.prototype.begin = function () {\n        this.points_.length = 0;\n        this.angle_ = 0;\n        this.initialVelocity_ = 0;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     */\n    Kinetic.prototype.update = function (x, y) {\n        this.points_.push(x, y, Date.now());\n    };\n    /**\n     * @return {boolean} Whether we should do kinetic animation.\n     */\n    Kinetic.prototype.end = function () {\n        if (this.points_.length < 6) {\n            // at least 2 points are required (i.e. there must be at least 6 elements\n            // in the array)\n            return false;\n        }\n        var delay = Date.now() - this.delay_;\n        var lastIndex = this.points_.length - 3;\n        if (this.points_[lastIndex + 2] < delay) {\n            // the last tracked point is too old, which means that the user stopped\n            // panning before releasing the map\n            return false;\n        }\n        // get the first point which still falls into the delay time\n        var firstIndex = lastIndex - 3;\n        while (firstIndex > 0 && this.points_[firstIndex + 2] > delay) {\n            firstIndex -= 3;\n        }\n        var duration = this.points_[lastIndex + 2] - this.points_[firstIndex + 2];\n        // we don't want a duration of 0 (divide by zero)\n        // we also make sure the user panned for a duration of at least one frame\n        // (1/60s) to compute sane displacement values\n        if (duration < 1000 / 60) {\n            return false;\n        }\n        var dx = this.points_[lastIndex] - this.points_[firstIndex];\n        var dy = this.points_[lastIndex + 1] - this.points_[firstIndex + 1];\n        this.angle_ = Math.atan2(dy, dx);\n        this.initialVelocity_ = Math.sqrt(dx * dx + dy * dy) / duration;\n        return this.initialVelocity_ > this.minVelocity_;\n    };\n    /**\n     * @return {number} Total distance travelled (pixels).\n     */\n    Kinetic.prototype.getDistance = function () {\n        return (this.minVelocity_ - this.initialVelocity_) / this.decay_;\n    };\n    /**\n     * @return {number} Angle of the kinetic panning animation (radians).\n     */\n    Kinetic.prototype.getAngle = function () {\n        return this.angle_;\n    };\n    return Kinetic;\n}());\nexport default Kinetic;\n//# sourceMappingURL=Kinetic.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/Map\n */\nimport Disposable from '../Disposable.js';\nimport { TRUE } from '../functions.js';\nimport { abstract } from '../util.js';\nimport { compose as composeTransform, makeInverse } from '../transform.js';\nimport { getWidth } from '../extent.js';\nimport { shared as iconImageCache } from '../style/IconImageCache.js';\nimport { inView } from '../layer/Layer.js';\nimport { wrapX } from '../coordinate.js';\n/**\n * @typedef HitMatch\n * @property {import(\"../Feature.js\").FeatureLike} feature Feature.\n * @property {import(\"../layer/Layer.js\").default} layer Layer.\n * @property {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n * @property {number} distanceSq Squared distance.\n * @property {import(\"./vector.js\").FeatureCallback<T>} callback Callback.\n * @template T\n */\n/**\n * @abstract\n */\nvar MapRenderer = /** @class */ (function (_super) {\n    __extends(MapRenderer, _super);\n    /**\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    function MapRenderer(map) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {import(\"../PluggableMap.js\").default}\n         */\n        _this.map_ = map;\n        return _this;\n    }\n    /**\n     * @abstract\n     * @param {import(\"../render/EventType.js\").default} type Event type.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    MapRenderer.prototype.dispatchRenderEvent = function (type, frameState) {\n        abstract();\n    };\n    /**\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @protected\n     */\n    MapRenderer.prototype.calculateMatrices2D = function (frameState) {\n        var viewState = frameState.viewState;\n        var coordinateToPixelTransform = frameState.coordinateToPixelTransform;\n        var pixelToCoordinateTransform = frameState.pixelToCoordinateTransform;\n        composeTransform(coordinateToPixelTransform, frameState.size[0] / 2, frameState.size[1] / 2, 1 / viewState.resolution, -1 / viewState.resolution, -viewState.rotation, -viewState.center[0], -viewState.center[1]);\n        makeInverse(pixelToCoordinateTransform, coordinateToPixelTransform);\n    };\n    /**\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {boolean} checkWrapped Check for wrapped geometries.\n     * @param {import(\"./vector.js\").FeatureCallback<T>} callback Feature callback.\n     * @param {S} thisArg Value to use as `this` when executing `callback`.\n     * @param {function(this: U, import(\"../layer/Layer.js\").default): boolean} layerFilter Layer filter\n     *     function, only layers which are visible and for which this function\n     *     returns `true` will be tested for features.  By default, all visible\n     *     layers will be tested.\n     * @param {U} thisArg2 Value to use as `this` when executing `layerFilter`.\n     * @return {T|undefined} Callback result.\n     * @template S,T,U\n     */\n    MapRenderer.prototype.forEachFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, checkWrapped, callback, thisArg, layerFilter, thisArg2) {\n        var result;\n        var viewState = frameState.viewState;\n        /**\n         * @param {boolean} managed Managed layer.\n         * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n         * @param {import(\"../layer/Layer.js\").default} layer Layer.\n         * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n         * @return {T|undefined} Callback result.\n         */\n        function forEachFeatureAtCoordinate(managed, feature, layer, geometry) {\n            return callback.call(thisArg, feature, managed ? layer : null, geometry);\n        }\n        var projection = viewState.projection;\n        var translatedCoordinate = wrapX(coordinate.slice(), projection);\n        var offsets = [[0, 0]];\n        if (projection.canWrapX() && checkWrapped) {\n            var projectionExtent = projection.getExtent();\n            var worldWidth = getWidth(projectionExtent);\n            offsets.push([-worldWidth, 0], [worldWidth, 0]);\n        }\n        var layerStates = frameState.layerStatesArray;\n        var numLayers = layerStates.length;\n        var matches = /** @type {Array<HitMatch<T>>} */ ([]);\n        var tmpCoord = [];\n        for (var i = 0; i < offsets.length; i++) {\n            for (var j = numLayers - 1; j >= 0; --j) {\n                var layerState = layerStates[j];\n                var layer = layerState.layer;\n                if (layer.hasRenderer() &&\n                    inView(layerState, viewState) &&\n                    layerFilter.call(thisArg2, layer)) {\n                    var layerRenderer = layer.getRenderer();\n                    var source = layer.getSource();\n                    if (layerRenderer && source) {\n                        var coordinates = source.getWrapX()\n                            ? translatedCoordinate\n                            : coordinate;\n                        var callback_1 = forEachFeatureAtCoordinate.bind(null, layerState.managed);\n                        tmpCoord[0] = coordinates[0] + offsets[i][0];\n                        tmpCoord[1] = coordinates[1] + offsets[i][1];\n                        result = layerRenderer.forEachFeatureAtCoordinate(tmpCoord, frameState, hitTolerance, callback_1, matches);\n                    }\n                    if (result) {\n                        return result;\n                    }\n                }\n            }\n        }\n        if (matches.length === 0) {\n            return undefined;\n        }\n        var order = 1 / matches.length;\n        matches.forEach(function (m, i) { return (m.distanceSq += i * order); });\n        matches.sort(function (a, b) { return a.distanceSq - b.distanceSq; });\n        matches.some(function (m) {\n            return (result = m.callback(m.feature, m.layer, m.geometry));\n        });\n        return result;\n    };\n    /**\n     * @abstract\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>, (Uint8ClampedArray|Uint8Array)): T} callback Layer\n     *     callback.\n     * @param {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} layerFilter Layer filter\n     *     function, only layers which are visible and for which this function\n     *     returns `true` will be tested for features.  By default, all visible\n     *     layers will be tested.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    MapRenderer.prototype.forEachLayerAtPixel = function (pixel, frameState, hitTolerance, callback, layerFilter) {\n        return abstract();\n    };\n    /**\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {boolean} checkWrapped Check for wrapped geometries.\n     * @param {function(this: U, import(\"../layer/Layer.js\").default): boolean} layerFilter Layer filter\n     *     function, only layers which are visible and for which this function\n     *     returns `true` will be tested for features.  By default, all visible\n     *     layers will be tested.\n     * @param {U} thisArg Value to use as `this` when executing `layerFilter`.\n     * @return {boolean} Is there a feature at the given coordinate?\n     * @template U\n     */\n    MapRenderer.prototype.hasFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, checkWrapped, layerFilter, thisArg) {\n        var hasFeature = this.forEachFeatureAtCoordinate(coordinate, frameState, hitTolerance, checkWrapped, TRUE, this, layerFilter, thisArg);\n        return hasFeature !== undefined;\n    };\n    /**\n     * @return {import(\"../PluggableMap.js\").default} Map.\n     */\n    MapRenderer.prototype.getMap = function () {\n        return this.map_;\n    };\n    /**\n     * Render.\n     * @abstract\n     * @param {?import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    MapRenderer.prototype.renderFrame = function (frameState) {\n        abstract();\n    };\n    /**\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    MapRenderer.prototype.scheduleExpireIconCache = function (frameState) {\n        if (iconImageCache.canExpireCache()) {\n            frameState.postRenderFunctions.push(expireIconCache);\n        }\n    };\n    return MapRenderer;\n}(Disposable));\n/**\n * @param {import(\"../PluggableMap.js\").default} map Map.\n * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n */\nfunction expireIconCache(map, frameState) {\n    iconImageCache.expire();\n}\nexport default MapRenderer;\n//# sourceMappingURL=Map.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/Composite\n */\nimport MapRenderer from './Map.js';\nimport ObjectEventType from '../ObjectEventType.js';\nimport RenderEvent from '../render/Event.js';\nimport RenderEventType from '../render/EventType.js';\nimport SourceState from '../source/State.js';\nimport { CLASS_UNSELECTABLE } from '../css.js';\nimport { checkedFonts } from '../render/canvas.js';\nimport { inView } from '../layer/Layer.js';\nimport { listen, unlistenByKey } from '../events.js';\nimport { replaceChildren } from '../dom.js';\n/**\n * @classdesc\n * Canvas map renderer.\n * @api\n */\nvar CompositeMapRenderer = /** @class */ (function (_super) {\n    __extends(CompositeMapRenderer, _super);\n    /**\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    function CompositeMapRenderer(map) {\n        var _this = _super.call(this, map) || this;\n        /**\n         * @type {import(\"../events.js\").EventsKey}\n         */\n        _this.fontChangeListenerKey_ = listen(checkedFonts, ObjectEventType.PROPERTYCHANGE, map.redrawText.bind(map));\n        /**\n         * @private\n         * @type {HTMLDivElement}\n         */\n        _this.element_ = document.createElement('div');\n        var style = _this.element_.style;\n        style.position = 'absolute';\n        style.width = '100%';\n        style.height = '100%';\n        style.zIndex = '0';\n        _this.element_.className = CLASS_UNSELECTABLE + ' ol-layers';\n        var container = map.getViewport();\n        container.insertBefore(_this.element_, container.firstChild || null);\n        /**\n         * @private\n         * @type {Array<HTMLElement>}\n         */\n        _this.children_ = [];\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderedVisible_ = true;\n        return _this;\n    }\n    /**\n     * @param {import(\"../render/EventType.js\").default} type Event type.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    CompositeMapRenderer.prototype.dispatchRenderEvent = function (type, frameState) {\n        var map = this.getMap();\n        if (map.hasListener(type)) {\n            var event_1 = new RenderEvent(type, undefined, frameState);\n            map.dispatchEvent(event_1);\n        }\n    };\n    CompositeMapRenderer.prototype.disposeInternal = function () {\n        unlistenByKey(this.fontChangeListenerKey_);\n        this.element_.parentNode.removeChild(this.element_);\n        _super.prototype.disposeInternal.call(this);\n    };\n    /**\n     * Render.\n     * @param {?import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    CompositeMapRenderer.prototype.renderFrame = function (frameState) {\n        if (!frameState) {\n            if (this.renderedVisible_) {\n                this.element_.style.display = 'none';\n                this.renderedVisible_ = false;\n            }\n            return;\n        }\n        this.calculateMatrices2D(frameState);\n        this.dispatchRenderEvent(RenderEventType.PRECOMPOSE, frameState);\n        var layerStatesArray = frameState.layerStatesArray.sort(function (a, b) {\n            return a.zIndex - b.zIndex;\n        });\n        var viewState = frameState.viewState;\n        this.children_.length = 0;\n        /**\n         * @type {Array<import(\"../layer/BaseVector.js\").default>}\n         */\n        var declutterLayers = [];\n        var previousElement = null;\n        for (var i = 0, ii = layerStatesArray.length; i < ii; ++i) {\n            var layerState = layerStatesArray[i];\n            frameState.layerIndex = i;\n            if (!inView(layerState, viewState) ||\n                (layerState.sourceState != SourceState.READY &&\n                    layerState.sourceState != SourceState.UNDEFINED)) {\n                continue;\n            }\n            var layer = layerState.layer;\n            var element = layer.render(frameState, previousElement);\n            if (!element) {\n                continue;\n            }\n            if (element !== previousElement) {\n                this.children_.push(element);\n                previousElement = element;\n            }\n            if ('getDeclutter' in layer) {\n                declutterLayers.push(\n                /** @type {import(\"../layer/BaseVector.js\").default} */ (layer));\n            }\n        }\n        for (var i = declutterLayers.length - 1; i >= 0; --i) {\n            declutterLayers[i].renderDeclutter(frameState);\n        }\n        replaceChildren(this.element_, this.children_);\n        this.dispatchRenderEvent(RenderEventType.POSTCOMPOSE, frameState);\n        if (!this.renderedVisible_) {\n            this.element_.style.display = '';\n            this.renderedVisible_ = true;\n        }\n        this.scheduleExpireIconCache(frameState);\n    };\n    /**\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState FrameState.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>, (Uint8ClampedArray|Uint8Array)): T} callback Layer\n     *     callback.\n     * @param {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} layerFilter Layer filter\n     *     function, only layers which are visible and for which this function\n     *     returns `true` will be tested for features.  By default, all visible\n     *     layers will be tested.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    CompositeMapRenderer.prototype.forEachLayerAtPixel = function (pixel, frameState, hitTolerance, callback, layerFilter) {\n        var viewState = frameState.viewState;\n        var layerStates = frameState.layerStatesArray;\n        var numLayers = layerStates.length;\n        for (var i = numLayers - 1; i >= 0; --i) {\n            var layerState = layerStates[i];\n            var layer = layerState.layer;\n            if (layer.hasRenderer() &&\n                inView(layerState, viewState) &&\n                layerFilter(layer)) {\n                var layerRenderer = layer.getRenderer();\n                var data = layerRenderer.getDataAtPixel(pixel, frameState, hitTolerance);\n                if (data) {\n                    var result = callback(layer, data);\n                    if (result) {\n                        return result;\n                    }\n                }\n            }\n        }\n        return undefined;\n    };\n    return CompositeMapRenderer;\n}(MapRenderer));\nexport default CompositeMapRenderer;\n//# sourceMappingURL=Composite.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Group\n */\nimport BaseLayer from './Base.js';\nimport Collection from '../Collection.js';\nimport CollectionEventType from '../CollectionEventType.js';\nimport Event from '../events/Event.js';\nimport EventType from '../events/EventType.js';\nimport ObjectEventType from '../ObjectEventType.js';\nimport SourceState from '../source/State.js';\nimport { assert } from '../asserts.js';\nimport { assign, clear } from '../obj.js';\nimport { getIntersection } from '../extent.js';\nimport { getUid } from '../util.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {'addlayer'|'removelayer'} EventType\n */\n/**\n * @classdesc\n * A layer group triggers 'addlayer' and 'removelayer' events when layers are added to or removed from\n * the group or one of its child groups.  When a layer group is added to or removed from another layer group,\n * a single event will be triggered (instead of one per layer in the group added or removed).\n */\nvar GroupEvent = /** @class */ (function (_super) {\n    __extends(GroupEvent, _super);\n    /**\n     * @param {EventType} type The event type.\n     * @param {BaseLayer} layer The layer.\n     */\n    function GroupEvent(type, layer) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The added or removed layer.\n         * @type {BaseLayer}\n         * @api\n         */\n        _this.layer = layer;\n        return _this;\n    }\n    return GroupEvent;\n}(Event));\nexport { GroupEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./Base\").BaseLayerObjectEventTypes|\n *     'change:layers', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"./Base\").BaseLayerObjectEventTypes|'change:layers', Return>} GroupOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {Array<import(\"./Base.js\").default>|import(\"../Collection.js\").default<import(\"./Base.js\").default>} [layers] Child layers.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @enum {string}\n * @private\n */\nvar Property = {\n    LAYERS: 'layers',\n};\n/**\n * @classdesc\n * A {@link module:ol/Collection~Collection} of layers that are handled together.\n *\n * A generic `change` event is triggered when the group/Collection changes.\n *\n * @api\n */\nvar LayerGroup = /** @class */ (function (_super) {\n    __extends(LayerGroup, _super);\n    /**\n     * @param {Options} [opt_options] Layer options.\n     */\n    function LayerGroup(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        var baseOptions = /** @type {Options} */ (assign({}, options));\n        delete baseOptions.layers;\n        var layers = options.layers;\n        _this = _super.call(this, baseOptions) || this;\n        /***\n         * @type {GroupOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {GroupOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {GroupOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {Array<import(\"../events.js\").EventsKey>}\n         */\n        _this.layersListenerKeys_ = [];\n        /**\n         * @private\n         * @type {Object<string, Array<import(\"../events.js\").EventsKey>>}\n         */\n        _this.listenerKeys_ = {};\n        _this.addChangeListener(Property.LAYERS, _this.handleLayersChanged_);\n        if (layers) {\n            if (Array.isArray(layers)) {\n                layers = new Collection(layers.slice(), { unique: true });\n            }\n            else {\n                assert(typeof ( /** @type {?} */(layers).getArray) === 'function', 43); // Expected `layers` to be an array or a `Collection`\n            }\n        }\n        else {\n            layers = new Collection(undefined, { unique: true });\n        }\n        _this.setLayers(layers);\n        return _this;\n    }\n    /**\n     * @private\n     */\n    LayerGroup.prototype.handleLayerChange_ = function () {\n        this.changed();\n    };\n    /**\n     * @private\n     */\n    LayerGroup.prototype.handleLayersChanged_ = function () {\n        this.layersListenerKeys_.forEach(unlistenByKey);\n        this.layersListenerKeys_.length = 0;\n        var layers = this.getLayers();\n        this.layersListenerKeys_.push(listen(layers, CollectionEventType.ADD, this.handleLayersAdd_, this), listen(layers, CollectionEventType.REMOVE, this.handleLayersRemove_, this));\n        for (var id in this.listenerKeys_) {\n            this.listenerKeys_[id].forEach(unlistenByKey);\n        }\n        clear(this.listenerKeys_);\n        var layersArray = layers.getArray();\n        for (var i = 0, ii = layersArray.length; i < ii; i++) {\n            var layer = layersArray[i];\n            this.registerLayerListeners_(layer);\n            this.dispatchEvent(new GroupEvent('addlayer', layer));\n        }\n        this.changed();\n    };\n    /**\n     * @param {BaseLayer} layer The layer.\n     */\n    LayerGroup.prototype.registerLayerListeners_ = function (layer) {\n        var listenerKeys = [\n            listen(layer, ObjectEventType.PROPERTYCHANGE, this.handleLayerChange_, this),\n            listen(layer, EventType.CHANGE, this.handleLayerChange_, this),\n        ];\n        if (layer instanceof LayerGroup) {\n            listenerKeys.push(listen(layer, 'addlayer', this.handleLayerGroupAdd_, this), listen(layer, 'removelayer', this.handleLayerGroupRemove_, this));\n        }\n        this.listenerKeys_[getUid(layer)] = listenerKeys;\n    };\n    /**\n     * @param {GroupEvent} event The layer group event.\n     */\n    LayerGroup.prototype.handleLayerGroupAdd_ = function (event) {\n        this.dispatchEvent(new GroupEvent('addlayer', event.layer));\n    };\n    /**\n     * @param {GroupEvent} event The layer group event.\n     */\n    LayerGroup.prototype.handleLayerGroupRemove_ = function (event) {\n        this.dispatchEvent(new GroupEvent('removelayer', event.layer));\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} collectionEvent CollectionEvent.\n     * @private\n     */\n    LayerGroup.prototype.handleLayersAdd_ = function (collectionEvent) {\n        var layer = /** @type {import(\"./Base.js\").default} */ (collectionEvent.element);\n        this.registerLayerListeners_(layer);\n        this.dispatchEvent(new GroupEvent('addlayer', layer));\n        this.changed();\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} collectionEvent CollectionEvent.\n     * @private\n     */\n    LayerGroup.prototype.handleLayersRemove_ = function (collectionEvent) {\n        var layer = /** @type {import(\"./Base.js\").default} */ (collectionEvent.element);\n        var key = getUid(layer);\n        this.listenerKeys_[key].forEach(unlistenByKey);\n        delete this.listenerKeys_[key];\n        this.dispatchEvent(new GroupEvent('removelayer', layer));\n        this.changed();\n    };\n    /**\n     * Returns the {@link module:ol/Collection collection} of {@link module:ol/layer/Layer~Layer layers}\n     * in this group.\n     * @return {!import(\"../Collection.js\").default<import(\"./Base.js\").default>} Collection of\n     *   {@link module:ol/layer/Base layers} that are part of this group.\n     * @observable\n     * @api\n     */\n    LayerGroup.prototype.getLayers = function () {\n        return /** @type {!import(\"../Collection.js\").default<import(\"./Base.js\").default>} */ (this.get(Property.LAYERS));\n    };\n    /**\n     * Set the {@link module:ol/Collection collection} of {@link module:ol/layer/Layer~Layer layers}\n     * in this group.\n     * @param {!import(\"../Collection.js\").default<import(\"./Base.js\").default>} layers Collection of\n     *   {@link module:ol/layer/Base layers} that are part of this group.\n     * @observable\n     * @api\n     */\n    LayerGroup.prototype.setLayers = function (layers) {\n        var collection = this.getLayers();\n        if (collection) {\n            var currentLayers = collection.getArray();\n            for (var i = 0, ii = currentLayers.length; i < ii; ++i) {\n                this.dispatchEvent(new GroupEvent('removelayer', currentLayers[i]));\n            }\n        }\n        this.set(Property.LAYERS, layers);\n    };\n    /**\n     * @param {Array<import(\"./Layer.js\").default>} [opt_array] Array of layers (to be modified in place).\n     * @return {Array<import(\"./Layer.js\").default>} Array of layers.\n     */\n    LayerGroup.prototype.getLayersArray = function (opt_array) {\n        var array = opt_array !== undefined ? opt_array : [];\n        this.getLayers().forEach(function (layer) {\n            layer.getLayersArray(array);\n        });\n        return array;\n    };\n    /**\n     * Get the layer states list and use this groups z-index as the default\n     * for all layers in this and nested groups, if it is unset at this point.\n     * If opt_states is not provided and this group's z-index is undefined\n     * 0 is used a the default z-index.\n     * @param {Array<import(\"./Layer.js\").State>} [opt_states] Optional list\n     * of layer states (to be modified in place).\n     * @return {Array<import(\"./Layer.js\").State>} List of layer states.\n     */\n    LayerGroup.prototype.getLayerStatesArray = function (opt_states) {\n        var states = opt_states !== undefined ? opt_states : [];\n        var pos = states.length;\n        this.getLayers().forEach(function (layer) {\n            layer.getLayerStatesArray(states);\n        });\n        var ownLayerState = this.getLayerState();\n        var defaultZIndex = ownLayerState.zIndex;\n        if (!opt_states && ownLayerState.zIndex === undefined) {\n            defaultZIndex = 0;\n        }\n        for (var i = pos, ii = states.length; i < ii; i++) {\n            var layerState = states[i];\n            layerState.opacity *= ownLayerState.opacity;\n            layerState.visible = layerState.visible && ownLayerState.visible;\n            layerState.maxResolution = Math.min(layerState.maxResolution, ownLayerState.maxResolution);\n            layerState.minResolution = Math.max(layerState.minResolution, ownLayerState.minResolution);\n            layerState.minZoom = Math.max(layerState.minZoom, ownLayerState.minZoom);\n            layerState.maxZoom = Math.min(layerState.maxZoom, ownLayerState.maxZoom);\n            if (ownLayerState.extent !== undefined) {\n                if (layerState.extent !== undefined) {\n                    layerState.extent = getIntersection(layerState.extent, ownLayerState.extent);\n                }\n                else {\n                    layerState.extent = ownLayerState.extent;\n                }\n            }\n            if (layerState.zIndex === undefined) {\n                layerState.zIndex = defaultZIndex;\n            }\n        }\n        return states;\n    };\n    /**\n     * @return {import(\"../source/State.js\").default} Source state.\n     */\n    LayerGroup.prototype.getSourceState = function () {\n        return SourceState.READY;\n    };\n    return LayerGroup;\n}(BaseLayer));\nexport default LayerGroup;\n//# sourceMappingURL=Group.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/MapEvent\n */\nimport Event from './events/Event.js';\n/**\n * @classdesc\n * Events emitted as map events are instances of this type.\n * See {@link module:ol/PluggableMap~PluggableMap} for which events trigger a map event.\n */\nvar MapEvent = /** @class */ (function (_super) {\n    __extends(MapEvent, _super);\n    /**\n     * @param {string} type Event type.\n     * @param {import(\"./PluggableMap.js\").default} map Map.\n     * @param {?import(\"./PluggableMap.js\").FrameState} [opt_frameState] Frame state.\n     */\n    function MapEvent(type, map, opt_frameState) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The map where the event occurred.\n         * @type {import(\"./PluggableMap.js\").default}\n         * @api\n         */\n        _this.map = map;\n        /**\n         * The frame state at the time of the event.\n         * @type {?import(\"./PluggableMap.js\").FrameState}\n         * @api\n         */\n        _this.frameState = opt_frameState !== undefined ? opt_frameState : null;\n        return _this;\n    }\n    return MapEvent;\n}(Event));\nexport default MapEvent;\n//# sourceMappingURL=MapEvent.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/MapBrowserEvent\n */\nimport MapEvent from './MapEvent.js';\n/**\n * @classdesc\n * Events emitted as map browser events are instances of this type.\n * See {@link module:ol/PluggableMap~PluggableMap} for which events trigger a map browser event.\n * @template {UIEvent} EVENT\n */\nvar MapBrowserEvent = /** @class */ (function (_super) {\n    __extends(MapBrowserEvent, _super);\n    /**\n     * @param {string} type Event type.\n     * @param {import(\"./PluggableMap.js\").default} map Map.\n     * @param {EVENT} originalEvent Original event.\n     * @param {boolean} [opt_dragging] Is the map currently being dragged?\n     * @param {?import(\"./PluggableMap.js\").FrameState} [opt_frameState] Frame state.\n     */\n    function MapBrowserEvent(type, map, originalEvent, opt_dragging, opt_frameState) {\n        var _this = _super.call(this, type, map, opt_frameState) || this;\n        /**\n         * The original browser event.\n         * @const\n         * @type {EVENT}\n         * @api\n         */\n        _this.originalEvent = originalEvent;\n        /**\n         * The map pixel relative to the viewport corresponding to the original browser event.\n         * @type {?import(\"./pixel.js\").Pixel}\n         */\n        _this.pixel_ = null;\n        /**\n         * The coordinate in the user projection corresponding to the original browser event.\n         * @type {?import(\"./coordinate.js\").Coordinate}\n         */\n        _this.coordinate_ = null;\n        /**\n         * Indicates if the map is currently being dragged. Only set for\n         * `POINTERDRAG` and `POINTERMOVE` events. Default is `false`.\n         *\n         * @type {boolean}\n         * @api\n         */\n        _this.dragging = opt_dragging !== undefined ? opt_dragging : false;\n        return _this;\n    }\n    Object.defineProperty(MapBrowserEvent.prototype, \"pixel\", {\n        /**\n         * The map pixel relative to the viewport corresponding to the original event.\n         * @type {import(\"./pixel.js\").Pixel}\n         * @api\n         */\n        get: function () {\n            if (!this.pixel_) {\n                this.pixel_ = this.map.getEventPixel(this.originalEvent);\n            }\n            return this.pixel_;\n        },\n        set: function (pixel) {\n            this.pixel_ = pixel;\n        },\n        enumerable: false,\n        configurable: true\n    });\n    Object.defineProperty(MapBrowserEvent.prototype, \"coordinate\", {\n        /**\n         * The coordinate corresponding to the original browser event.  This will be in the user\n         * projection if one is set.  Otherwise it will be in the view projection.\n         * @type {import(\"./coordinate.js\").Coordinate}\n         * @api\n         */\n        get: function () {\n            if (!this.coordinate_) {\n                this.coordinate_ = this.map.getCoordinateFromPixel(this.pixel);\n            }\n            return this.coordinate_;\n        },\n        set: function (coordinate) {\n            this.coordinate_ = coordinate;\n        },\n        enumerable: false,\n        configurable: true\n    });\n    /**\n     * Prevents the default browser action.\n     * See https://developer.mozilla.org/en-US/docs/Web/API/event.preventDefault.\n     * @api\n     */\n    MapBrowserEvent.prototype.preventDefault = function () {\n        _super.prototype.preventDefault.call(this);\n        if ('preventDefault' in this.originalEvent) {\n            /** @type {UIEvent} */ (this.originalEvent).preventDefault();\n        }\n    };\n    /**\n     * Prevents further propagation of the current event.\n     * See https://developer.mozilla.org/en-US/docs/Web/API/event.stopPropagation.\n     * @api\n     */\n    MapBrowserEvent.prototype.stopPropagation = function () {\n        _super.prototype.stopPropagation.call(this);\n        if ('stopPropagation' in this.originalEvent) {\n            /** @type {UIEvent} */ (this.originalEvent).stopPropagation();\n        }\n    };\n    return MapBrowserEvent;\n}(MapEvent));\nexport default MapBrowserEvent;\n//# sourceMappingURL=MapBrowserEvent.js.map","/**\n * @module ol/MapBrowserEventType\n */\nimport EventType from './events/EventType.js';\n/**\n * Constants for event names.\n * @enum {string}\n */\nexport default {\n    /**\n     * A true single click with no dragging and no double click. Note that this\n     * event is delayed by 250 ms to ensure that it is not a double click.\n     * @event module:ol/MapBrowserEvent~MapBrowserEvent#singleclick\n     * @api\n     */\n    SINGLECLICK: 'singleclick',\n    /**\n     * A click with no dragging. A double click will fire two of this.\n     * @event module:ol/MapBrowserEvent~MapBrowserEvent#click\n     * @api\n     */\n    CLICK: EventType.CLICK,\n    /**\n     * A true double click, with no dragging.\n     * @event module:ol/MapBrowserEvent~MapBrowserEvent#dblclick\n     * @api\n     */\n    DBLCLICK: EventType.DBLCLICK,\n    /**\n     * Triggered when a pointer is dragged.\n     * @event module:ol/MapBrowserEvent~MapBrowserEvent#pointerdrag\n     * @api\n     */\n    POINTERDRAG: 'pointerdrag',\n    /**\n     * Triggered when a pointer is moved. Note that on touch devices this is\n     * triggered when the map is panned, so is not the same as mousemove.\n     * @event module:ol/MapBrowserEvent~MapBrowserEvent#pointermove\n     * @api\n     */\n    POINTERMOVE: 'pointermove',\n    POINTERDOWN: 'pointerdown',\n    POINTERUP: 'pointerup',\n    POINTEROVER: 'pointerover',\n    POINTEROUT: 'pointerout',\n    POINTERENTER: 'pointerenter',\n    POINTERLEAVE: 'pointerleave',\n    POINTERCANCEL: 'pointercancel',\n};\n/***\n * @typedef {'singleclick'|'click'|'dblclick'|'pointerdrag'|'pointermove'} Types\n */\n//# sourceMappingURL=MapBrowserEventType.js.map","/**\n * @module ol/pointer/EventType\n */\n/**\n * Constants for event names.\n * @enum {string}\n */\nexport default {\n    POINTERMOVE: 'pointermove',\n    POINTERDOWN: 'pointerdown',\n    POINTERUP: 'pointerup',\n    POINTEROVER: 'pointerover',\n    POINTEROUT: 'pointerout',\n    POINTERENTER: 'pointerenter',\n    POINTERLEAVE: 'pointerleave',\n    POINTERCANCEL: 'pointercancel',\n};\n//# sourceMappingURL=EventType.js.map","/**\n * @module ol/MapBrowserEventHandler\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport EventType from './events/EventType.js';\nimport MapBrowserEvent from './MapBrowserEvent.js';\nimport MapBrowserEventType from './MapBrowserEventType.js';\nimport PointerEventType from './pointer/EventType.js';\nimport Target from './events/Target.js';\nimport { PASSIVE_EVENT_LISTENERS } from './has.js';\nimport { VOID } from './functions.js';\nimport { listen, unlistenByKey } from './events.js';\nvar MapBrowserEventHandler = /** @class */ (function (_super) {\n    __extends(MapBrowserEventHandler, _super);\n    /**\n     * @param {import(\"./PluggableMap.js\").default} map The map with the viewport to listen to events on.\n     * @param {number} [moveTolerance] The minimal distance the pointer must travel to trigger a move.\n     */\n    function MapBrowserEventHandler(map, moveTolerance) {\n        var _this = _super.call(this, map) || this;\n        /**\n         * This is the element that we will listen to the real events on.\n         * @type {import(\"./PluggableMap.js\").default}\n         * @private\n         */\n        _this.map_ = map;\n        /**\n         * @type {any}\n         * @private\n         */\n        _this.clickTimeoutId_;\n        /**\n         * Emulate dblclick and singleclick. Will be true when only one pointer is active.\n         * @type {boolean}\n         */\n        _this.emulateClicks_ = false;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.dragging_ = false;\n        /**\n         * @type {!Array<import(\"./events.js\").EventsKey>}\n         * @private\n         */\n        _this.dragListenerKeys_ = [];\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.moveTolerance_ = moveTolerance === undefined ? 1 : moveTolerance;\n        /**\n         * The most recent \"down\" type event (or null if none have occurred).\n         * Set on pointerdown.\n         * @type {PointerEvent}\n         * @private\n         */\n        _this.down_ = null;\n        var element = _this.map_.getViewport();\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.activePointers_ = 0;\n        /**\n         * @type {!Object<number, boolean>}\n         * @private\n         */\n        _this.trackedTouches_ = {};\n        _this.element_ = element;\n        /**\n         * @type {?import(\"./events.js\").EventsKey}\n         * @private\n         */\n        _this.pointerdownListenerKey_ = listen(element, PointerEventType.POINTERDOWN, _this.handlePointerDown_, _this);\n        /**\n         * @type {PointerEvent}\n         * @private\n         */\n        _this.originalPointerMoveEvent_;\n        /**\n         * @type {?import(\"./events.js\").EventsKey}\n         * @private\n         */\n        _this.relayedListenerKey_ = listen(element, PointerEventType.POINTERMOVE, _this.relayEvent_, _this);\n        /**\n         * @private\n         */\n        _this.boundHandleTouchMove_ = _this.handleTouchMove_.bind(_this);\n        _this.element_.addEventListener(EventType.TOUCHMOVE, _this.boundHandleTouchMove_, PASSIVE_EVENT_LISTENERS ? { passive: false } : false);\n        return _this;\n    }\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.emulateClick_ = function (pointerEvent) {\n        var newEvent = new MapBrowserEvent(MapBrowserEventType.CLICK, this.map_, pointerEvent);\n        this.dispatchEvent(newEvent);\n        if (this.clickTimeoutId_ !== undefined) {\n            // double-click\n            clearTimeout(this.clickTimeoutId_);\n            this.clickTimeoutId_ = undefined;\n            newEvent = new MapBrowserEvent(MapBrowserEventType.DBLCLICK, this.map_, pointerEvent);\n            this.dispatchEvent(newEvent);\n        }\n        else {\n            // click\n            this.clickTimeoutId_ = setTimeout(\n            /** @this {MapBrowserEventHandler} */\n            function () {\n                this.clickTimeoutId_ = undefined;\n                var newEvent = new MapBrowserEvent(MapBrowserEventType.SINGLECLICK, this.map_, pointerEvent);\n                this.dispatchEvent(newEvent);\n            }.bind(this), 250);\n        }\n    };\n    /**\n     * Keeps track on how many pointers are currently active.\n     *\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.updateActivePointers_ = function (pointerEvent) {\n        var event = pointerEvent;\n        if (event.type == MapBrowserEventType.POINTERUP ||\n            event.type == MapBrowserEventType.POINTERCANCEL) {\n            delete this.trackedTouches_[event.pointerId];\n        }\n        else if (event.type == MapBrowserEventType.POINTERDOWN) {\n            this.trackedTouches_[event.pointerId] = true;\n        }\n        this.activePointers_ = Object.keys(this.trackedTouches_).length;\n    };\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.handlePointerUp_ = function (pointerEvent) {\n        this.updateActivePointers_(pointerEvent);\n        var newEvent = new MapBrowserEvent(MapBrowserEventType.POINTERUP, this.map_, pointerEvent);\n        this.dispatchEvent(newEvent);\n        // We emulate click events on left mouse button click, touch contact, and pen\n        // contact. isMouseActionButton returns true in these cases (evt.button is set\n        // to 0).\n        // See http://www.w3.org/TR/pointerevents/#button-states\n        // We only fire click, singleclick, and doubleclick if nobody has called\n        // event.preventDefault().\n        if (this.emulateClicks_ &&\n            !newEvent.defaultPrevented &&\n            !this.dragging_ &&\n            this.isMouseActionButton_(pointerEvent)) {\n            this.emulateClick_(this.down_);\n        }\n        if (this.activePointers_ === 0) {\n            this.dragListenerKeys_.forEach(unlistenByKey);\n            this.dragListenerKeys_.length = 0;\n            this.dragging_ = false;\n            this.down_ = null;\n        }\n    };\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @return {boolean} If the left mouse button was pressed.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.isMouseActionButton_ = function (pointerEvent) {\n        return pointerEvent.button === 0;\n    };\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.handlePointerDown_ = function (pointerEvent) {\n        this.emulateClicks_ = this.activePointers_ === 0;\n        this.updateActivePointers_(pointerEvent);\n        var newEvent = new MapBrowserEvent(MapBrowserEventType.POINTERDOWN, this.map_, pointerEvent);\n        this.dispatchEvent(newEvent);\n        // Store a copy of the down event\n        this.down_ = /** @type {PointerEvent} */ ({});\n        for (var property in pointerEvent) {\n            var value = pointerEvent[property];\n            this.down_[property] = typeof value === 'function' ? VOID : value;\n        }\n        if (this.dragListenerKeys_.length === 0) {\n            var doc = this.map_.getOwnerDocument();\n            this.dragListenerKeys_.push(listen(doc, MapBrowserEventType.POINTERMOVE, this.handlePointerMove_, this), listen(doc, MapBrowserEventType.POINTERUP, this.handlePointerUp_, this), \n            /* Note that the listener for `pointercancel is set up on\n             * `pointerEventHandler_` and not `documentPointerEventHandler_` like\n             * the `pointerup` and `pointermove` listeners.\n             *\n             * The reason for this is the following: `TouchSource.vacuumTouches_()`\n             * issues `pointercancel` events, when there was no `touchend` for a\n             * `touchstart`. Now, let's say a first `touchstart` is registered on\n             * `pointerEventHandler_`. The `documentPointerEventHandler_` is set up.\n             * But `documentPointerEventHandler_` doesn't know about the first\n             * `touchstart`. If there is no `touchend` for the `touchstart`, we can\n             * only receive a `touchcancel` from `pointerEventHandler_`, because it is\n             * only registered there.\n             */\n            listen(this.element_, MapBrowserEventType.POINTERCANCEL, this.handlePointerUp_, this));\n            if (this.element_.getRootNode && this.element_.getRootNode() !== doc) {\n                this.dragListenerKeys_.push(listen(this.element_.getRootNode(), MapBrowserEventType.POINTERUP, this.handlePointerUp_, this));\n            }\n        }\n    };\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.handlePointerMove_ = function (pointerEvent) {\n        // Between pointerdown and pointerup, pointermove events are triggered.\n        // To avoid a 'false' touchmove event to be dispatched, we test if the pointer\n        // moved a significant distance.\n        if (this.isMoving_(pointerEvent)) {\n            this.dragging_ = true;\n            var newEvent = new MapBrowserEvent(MapBrowserEventType.POINTERDRAG, this.map_, pointerEvent, this.dragging_);\n            this.dispatchEvent(newEvent);\n        }\n    };\n    /**\n     * Wrap and relay a pointer event.  Note that this requires that the type\n     * string for the MapBrowserEvent matches the PointerEvent type.\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.relayEvent_ = function (pointerEvent) {\n        this.originalPointerMoveEvent_ = pointerEvent;\n        var dragging = !!(this.down_ && this.isMoving_(pointerEvent));\n        this.dispatchEvent(new MapBrowserEvent(pointerEvent.type, this.map_, pointerEvent, dragging));\n    };\n    /**\n     * Flexible handling of a `touch-action: none` css equivalent: because calling\n     * `preventDefault()` on a `pointermove` event does not stop native page scrolling\n     * and zooming, we also listen for `touchmove` and call `preventDefault()` on it\n     * when an interaction (currently `DragPan` handles the event.\n     * @param {TouchEvent} event Event.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.handleTouchMove_ = function (event) {\n        // Due to https://github.com/mpizenberg/elm-pep/issues/2, `this.originalPointerMoveEvent_`\n        // may not be initialized yet when we get here on a platform without native pointer events.\n        var originalEvent = this.originalPointerMoveEvent_;\n        if ((!originalEvent || originalEvent.defaultPrevented) &&\n            (typeof event.cancelable !== 'boolean' || event.cancelable === true)) {\n            event.preventDefault();\n        }\n    };\n    /**\n     * @param {PointerEvent} pointerEvent Pointer\n     * event.\n     * @return {boolean} Is moving.\n     * @private\n     */\n    MapBrowserEventHandler.prototype.isMoving_ = function (pointerEvent) {\n        return (this.dragging_ ||\n            Math.abs(pointerEvent.clientX - this.down_.clientX) >\n                this.moveTolerance_ ||\n            Math.abs(pointerEvent.clientY - this.down_.clientY) > this.moveTolerance_);\n    };\n    /**\n     * Clean up.\n     */\n    MapBrowserEventHandler.prototype.disposeInternal = function () {\n        if (this.relayedListenerKey_) {\n            unlistenByKey(this.relayedListenerKey_);\n            this.relayedListenerKey_ = null;\n        }\n        this.element_.removeEventListener(EventType.TOUCHMOVE, this.boundHandleTouchMove_);\n        if (this.pointerdownListenerKey_) {\n            unlistenByKey(this.pointerdownListenerKey_);\n            this.pointerdownListenerKey_ = null;\n        }\n        this.dragListenerKeys_.forEach(unlistenByKey);\n        this.dragListenerKeys_.length = 0;\n        this.element_ = null;\n        _super.prototype.disposeInternal.call(this);\n    };\n    return MapBrowserEventHandler;\n}(Target));\nexport default MapBrowserEventHandler;\n//# sourceMappingURL=MapBrowserEventHandler.js.map","/**\n * @module ol/MapEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered after a map frame is rendered.\n     * @event module:ol/MapEvent~MapEvent#postrender\n     * @api\n     */\n    POSTRENDER: 'postrender',\n    /**\n     * Triggered when the map starts moving.\n     * @event module:ol/MapEvent~MapEvent#movestart\n     * @api\n     */\n    MOVESTART: 'movestart',\n    /**\n     * Triggered after the map is moved.\n     * @event module:ol/MapEvent~MapEvent#moveend\n     * @api\n     */\n    MOVEEND: 'moveend',\n};\n/***\n * @typedef {'postrender'|'movestart'|'moveend'} Types\n */\n//# sourceMappingURL=MapEventType.js.map","/**\n * @module ol/MapProperty\n */\n/**\n * @enum {string}\n */\nexport default {\n    LAYERGROUP: 'layergroup',\n    SIZE: 'size',\n    TARGET: 'target',\n    VIEW: 'view',\n};\n//# sourceMappingURL=MapProperty.js.map","/**\n * @module ol/structs/PriorityQueue\n */\nimport { assert } from '../asserts.js';\nimport { clear } from '../obj.js';\n/**\n * @type {number}\n */\nexport var DROP = Infinity;\n/**\n * @classdesc\n * Priority queue.\n *\n * The implementation is inspired from the Closure Library's Heap class and\n * Python's heapq module.\n *\n * See https://github.com/google/closure-library/blob/master/closure/goog/structs/heap.js\n * and https://hg.python.org/cpython/file/2.7/Lib/heapq.py.\n *\n * @template T\n */\nvar PriorityQueue = /** @class */ (function () {\n    /**\n     * @param {function(T): number} priorityFunction Priority function.\n     * @param {function(T): string} keyFunction Key function.\n     */\n    function PriorityQueue(priorityFunction, keyFunction) {\n        /**\n         * @type {function(T): number}\n         * @private\n         */\n        this.priorityFunction_ = priorityFunction;\n        /**\n         * @type {function(T): string}\n         * @private\n         */\n        this.keyFunction_ = keyFunction;\n        /**\n         * @type {Array<T>}\n         * @private\n         */\n        this.elements_ = [];\n        /**\n         * @type {Array<number>}\n         * @private\n         */\n        this.priorities_ = [];\n        /**\n         * @type {!Object<string, boolean>}\n         * @private\n         */\n        this.queuedElements_ = {};\n    }\n    /**\n     * FIXME empty description for jsdoc\n     */\n    PriorityQueue.prototype.clear = function () {\n        this.elements_.length = 0;\n        this.priorities_.length = 0;\n        clear(this.queuedElements_);\n    };\n    /**\n     * Remove and return the highest-priority element. O(log N).\n     * @return {T} Element.\n     */\n    PriorityQueue.prototype.dequeue = function () {\n        var elements = this.elements_;\n        var priorities = this.priorities_;\n        var element = elements[0];\n        if (elements.length == 1) {\n            elements.length = 0;\n            priorities.length = 0;\n        }\n        else {\n            elements[0] = elements.pop();\n            priorities[0] = priorities.pop();\n            this.siftUp_(0);\n        }\n        var elementKey = this.keyFunction_(element);\n        delete this.queuedElements_[elementKey];\n        return element;\n    };\n    /**\n     * Enqueue an element. O(log N).\n     * @param {T} element Element.\n     * @return {boolean} The element was added to the queue.\n     */\n    PriorityQueue.prototype.enqueue = function (element) {\n        assert(!(this.keyFunction_(element) in this.queuedElements_), 31); // Tried to enqueue an `element` that was already added to the queue\n        var priority = this.priorityFunction_(element);\n        if (priority != DROP) {\n            this.elements_.push(element);\n            this.priorities_.push(priority);\n            this.queuedElements_[this.keyFunction_(element)] = true;\n            this.siftDown_(0, this.elements_.length - 1);\n            return true;\n        }\n        return false;\n    };\n    /**\n     * @return {number} Count.\n     */\n    PriorityQueue.prototype.getCount = function () {\n        return this.elements_.length;\n    };\n    /**\n     * Gets the index of the left child of the node at the given index.\n     * @param {number} index The index of the node to get the left child for.\n     * @return {number} The index of the left child.\n     * @private\n     */\n    PriorityQueue.prototype.getLeftChildIndex_ = function (index) {\n        return index * 2 + 1;\n    };\n    /**\n     * Gets the index of the right child of the node at the given index.\n     * @param {number} index The index of the node to get the right child for.\n     * @return {number} The index of the right child.\n     * @private\n     */\n    PriorityQueue.prototype.getRightChildIndex_ = function (index) {\n        return index * 2 + 2;\n    };\n    /**\n     * Gets the index of the parent of the node at the given index.\n     * @param {number} index The index of the node to get the parent for.\n     * @return {number} The index of the parent.\n     * @private\n     */\n    PriorityQueue.prototype.getParentIndex_ = function (index) {\n        return (index - 1) >> 1;\n    };\n    /**\n     * Make this a heap. O(N).\n     * @private\n     */\n    PriorityQueue.prototype.heapify_ = function () {\n        var i;\n        for (i = (this.elements_.length >> 1) - 1; i >= 0; i--) {\n            this.siftUp_(i);\n        }\n    };\n    /**\n     * @return {boolean} Is empty.\n     */\n    PriorityQueue.prototype.isEmpty = function () {\n        return this.elements_.length === 0;\n    };\n    /**\n     * @param {string} key Key.\n     * @return {boolean} Is key queued.\n     */\n    PriorityQueue.prototype.isKeyQueued = function (key) {\n        return key in this.queuedElements_;\n    };\n    /**\n     * @param {T} element Element.\n     * @return {boolean} Is queued.\n     */\n    PriorityQueue.prototype.isQueued = function (element) {\n        return this.isKeyQueued(this.keyFunction_(element));\n    };\n    /**\n     * @param {number} index The index of the node to move down.\n     * @private\n     */\n    PriorityQueue.prototype.siftUp_ = function (index) {\n        var elements = this.elements_;\n        var priorities = this.priorities_;\n        var count = elements.length;\n        var element = elements[index];\n        var priority = priorities[index];\n        var startIndex = index;\n        while (index < count >> 1) {\n            var lIndex = this.getLeftChildIndex_(index);\n            var rIndex = this.getRightChildIndex_(index);\n            var smallerChildIndex = rIndex < count && priorities[rIndex] < priorities[lIndex]\n                ? rIndex\n                : lIndex;\n            elements[index] = elements[smallerChildIndex];\n            priorities[index] = priorities[smallerChildIndex];\n            index = smallerChildIndex;\n        }\n        elements[index] = element;\n        priorities[index] = priority;\n        this.siftDown_(startIndex, index);\n    };\n    /**\n     * @param {number} startIndex The index of the root.\n     * @param {number} index The index of the node to move up.\n     * @private\n     */\n    PriorityQueue.prototype.siftDown_ = function (startIndex, index) {\n        var elements = this.elements_;\n        var priorities = this.priorities_;\n        var element = elements[index];\n        var priority = priorities[index];\n        while (index > startIndex) {\n            var parentIndex = this.getParentIndex_(index);\n            if (priorities[parentIndex] > priority) {\n                elements[index] = elements[parentIndex];\n                priorities[index] = priorities[parentIndex];\n                index = parentIndex;\n            }\n            else {\n                break;\n            }\n        }\n        elements[index] = element;\n        priorities[index] = priority;\n    };\n    /**\n     * FIXME empty description for jsdoc\n     */\n    PriorityQueue.prototype.reprioritize = function () {\n        var priorityFunction = this.priorityFunction_;\n        var elements = this.elements_;\n        var priorities = this.priorities_;\n        var index = 0;\n        var n = elements.length;\n        var element, i, priority;\n        for (i = 0; i < n; ++i) {\n            element = elements[i];\n            priority = priorityFunction(element);\n            if (priority == DROP) {\n                delete this.queuedElements_[this.keyFunction_(element)];\n            }\n            else {\n                priorities[index] = priority;\n                elements[index++] = element;\n            }\n        }\n        elements.length = index;\n        priorities.length = index;\n        this.heapify_();\n    };\n    return PriorityQueue;\n}());\nexport default PriorityQueue;\n//# sourceMappingURL=PriorityQueue.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/TileQueue\n */\nimport EventType from './events/EventType.js';\nimport PriorityQueue, { DROP } from './structs/PriorityQueue.js';\nimport TileState from './TileState.js';\n/**\n * @typedef {function(import(\"./Tile.js\").default, string, import(\"./coordinate.js\").Coordinate, number): number} PriorityFunction\n */\nvar TileQueue = /** @class */ (function (_super) {\n    __extends(TileQueue, _super);\n    /**\n     * @param {PriorityFunction} tilePriorityFunction Tile priority function.\n     * @param {function(): ?} tileChangeCallback Function called on each tile change event.\n     */\n    function TileQueue(tilePriorityFunction, tileChangeCallback) {\n        var _this = _super.call(this, \n        /**\n         * @param {Array} element Element.\n         * @return {number} Priority.\n         */\n        function (element) {\n            return tilePriorityFunction.apply(null, element);\n        }, \n        /**\n         * @param {Array} element Element.\n         * @return {string} Key.\n         */\n        function (element) {\n            return /** @type {import(\"./Tile.js\").default} */ (element[0]).getKey();\n        }) || this;\n        /** @private */\n        _this.boundHandleTileChange_ = _this.handleTileChange.bind(_this);\n        /**\n         * @private\n         * @type {function(): ?}\n         */\n        _this.tileChangeCallback_ = tileChangeCallback;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.tilesLoading_ = 0;\n        /**\n         * @private\n         * @type {!Object<string,boolean>}\n         */\n        _this.tilesLoadingKeys_ = {};\n        return _this;\n    }\n    /**\n     * @param {Array} element Element.\n     * @return {boolean} The element was added to the queue.\n     */\n    TileQueue.prototype.enqueue = function (element) {\n        var added = _super.prototype.enqueue.call(this, element);\n        if (added) {\n            var tile = element[0];\n            tile.addEventListener(EventType.CHANGE, this.boundHandleTileChange_);\n        }\n        return added;\n    };\n    /**\n     * @return {number} Number of tiles loading.\n     */\n    TileQueue.prototype.getTilesLoading = function () {\n        return this.tilesLoading_;\n    };\n    /**\n     * @param {import(\"./events/Event.js\").default} event Event.\n     * @protected\n     */\n    TileQueue.prototype.handleTileChange = function (event) {\n        var tile = /** @type {import(\"./Tile.js\").default} */ (event.target);\n        var state = tile.getState();\n        if (state === TileState.LOADED ||\n            state === TileState.ERROR ||\n            state === TileState.EMPTY) {\n            tile.removeEventListener(EventType.CHANGE, this.boundHandleTileChange_);\n            var tileKey = tile.getKey();\n            if (tileKey in this.tilesLoadingKeys_) {\n                delete this.tilesLoadingKeys_[tileKey];\n                --this.tilesLoading_;\n            }\n            this.tileChangeCallback_();\n        }\n    };\n    /**\n     * @param {number} maxTotalLoading Maximum number tiles to load simultaneously.\n     * @param {number} maxNewLoads Maximum number of new tiles to load.\n     */\n    TileQueue.prototype.loadMoreTiles = function (maxTotalLoading, maxNewLoads) {\n        var newLoads = 0;\n        var state, tile, tileKey;\n        while (this.tilesLoading_ < maxTotalLoading &&\n            newLoads < maxNewLoads &&\n            this.getCount() > 0) {\n            tile = /** @type {import(\"./Tile.js\").default} */ (this.dequeue()[0]);\n            tileKey = tile.getKey();\n            state = tile.getState();\n            if (state === TileState.IDLE && !(tileKey in this.tilesLoadingKeys_)) {\n                this.tilesLoadingKeys_[tileKey] = true;\n                ++this.tilesLoading_;\n                ++newLoads;\n                tile.load();\n            }\n        }\n    };\n    return TileQueue;\n}(PriorityQueue));\nexport default TileQueue;\n/**\n * @param {import('./PluggableMap.js').FrameState} frameState Frame state.\n * @param {import(\"./Tile.js\").default} tile Tile.\n * @param {string} tileSourceKey Tile source key.\n * @param {import(\"./coordinate.js\").Coordinate} tileCenter Tile center.\n * @param {number} tileResolution Tile resolution.\n * @return {number} Tile priority.\n */\nexport function getTilePriority(frameState, tile, tileSourceKey, tileCenter, tileResolution) {\n    // Filter out tiles at higher zoom levels than the current zoom level, or that\n    // are outside the visible extent.\n    if (!frameState || !(tileSourceKey in frameState.wantedTiles)) {\n        return DROP;\n    }\n    if (!frameState.wantedTiles[tileSourceKey][tile.getKey()]) {\n        return DROP;\n    }\n    // Prioritize the highest zoom level tiles closest to the focus.\n    // Tiles at higher zoom levels are prioritized using Math.log(tileResolution).\n    // Within a zoom level, tiles are prioritized by the distance in pixels between\n    // the center of the tile and the center of the viewport.  The factor of 65536\n    // means that the prioritization should behave as desired for tiles up to\n    // 65536 * Math.log(2) = 45426 pixels from the focus.\n    var center = frameState.viewState.center;\n    var deltaX = tileCenter[0] - center[0];\n    var deltaY = tileCenter[1] - center[1];\n    return (65536 * Math.log(tileResolution) +\n        Math.sqrt(deltaX * deltaX + deltaY * deltaY) / tileResolution);\n}\n//# sourceMappingURL=TileQueue.js.map","/**\n * @module ol/ViewProperty\n */\n/**\n * @enum {string}\n */\nexport default {\n    CENTER: 'center',\n    RESOLUTION: 'resolution',\n    ROTATION: 'rotation',\n};\n//# sourceMappingURL=ViewProperty.js.map","/**\n * @module ol/tilegrid/common\n */\n/**\n * Default maximum zoom for default tile grids.\n * @type {number}\n */\nexport var DEFAULT_MAX_ZOOM = 42;\n/**\n * Default tile size.\n * @type {number}\n */\nexport var DEFAULT_TILE_SIZE = 256;\n//# sourceMappingURL=common.js.map","/**\n * @module ol/centerconstraint\n */\nimport { clamp } from './math.js';\n/**\n * @typedef {function((import(\"./coordinate.js\").Coordinate|undefined), number, import(\"./size.js\").Size, boolean=, Array<number>=): (import(\"./coordinate.js\").Coordinate|undefined)} Type\n */\n/**\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {boolean} onlyCenter If true, the constraint will only apply to the view center.\n * @param {boolean} smooth If true, the view will be able to go slightly out of the given extent\n * (only during interaction and animation).\n * @return {Type} The constraint.\n */\nexport function createExtent(extent, onlyCenter, smooth) {\n    return (\n    /**\n     * @param {import(\"./coordinate.js\").Coordinate|undefined} center Center.\n     * @param {number} resolution Resolution.\n     * @param {import(\"./size.js\").Size} size Viewport size; unused if `onlyCenter` was specified.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @param {Array<number>} [opt_centerShift] Shift between map center and viewport center.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} Center.\n     */\n    function (center, resolution, size, opt_isMoving, opt_centerShift) {\n        if (center) {\n            var viewWidth = onlyCenter ? 0 : size[0] * resolution;\n            var viewHeight = onlyCenter ? 0 : size[1] * resolution;\n            var shiftX = opt_centerShift ? opt_centerShift[0] : 0;\n            var shiftY = opt_centerShift ? opt_centerShift[1] : 0;\n            var minX = extent[0] + viewWidth / 2 + shiftX;\n            var maxX = extent[2] - viewWidth / 2 + shiftX;\n            var minY = extent[1] + viewHeight / 2 + shiftY;\n            var maxY = extent[3] - viewHeight / 2 + shiftY;\n            // note: when zooming out of bounds, min and max values for x and y may\n            // end up inverted (min > max); this has to be accounted for\n            if (minX > maxX) {\n                minX = (maxX + minX) / 2;\n                maxX = minX;\n            }\n            if (minY > maxY) {\n                minY = (maxY + minY) / 2;\n                maxY = minY;\n            }\n            var x = clamp(center[0], minX, maxX);\n            var y = clamp(center[1], minY, maxY);\n            var ratio = 30 * resolution;\n            // during an interaction, allow some overscroll\n            if (opt_isMoving && smooth) {\n                x +=\n                    -ratio * Math.log(1 + Math.max(0, minX - center[0]) / ratio) +\n                        ratio * Math.log(1 + Math.max(0, center[0] - maxX) / ratio);\n                y +=\n                    -ratio * Math.log(1 + Math.max(0, minY - center[1]) / ratio) +\n                        ratio * Math.log(1 + Math.max(0, center[1] - maxY) / ratio);\n            }\n            return [x, y];\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n/**\n * @param {import(\"./coordinate.js\").Coordinate} [center] Center.\n * @return {import(\"./coordinate.js\").Coordinate|undefined} Center.\n */\nexport function none(center) {\n    return center;\n}\n//# sourceMappingURL=centerconstraint.js.map","/**\n * @module ol/resolutionconstraint\n */\nimport { clamp } from './math.js';\nimport { getHeight, getWidth } from './extent.js';\nimport { linearFindNearest } from './array.js';\n/**\n * @typedef {function((number|undefined), number, import(\"./size.js\").Size, boolean=): (number|undefined)} Type\n */\n/**\n * Returns a modified resolution taking into account the viewport size and maximum\n * allowed extent.\n * @param {number} resolution Resolution\n * @param {import(\"./extent.js\").Extent} maxExtent Maximum allowed extent.\n * @param {import(\"./size.js\").Size} viewportSize Viewport size.\n * @param {boolean} showFullExtent Whether to show the full extent.\n * @return {number} Capped resolution.\n */\nfunction getViewportClampedResolution(resolution, maxExtent, viewportSize, showFullExtent) {\n    var xResolution = getWidth(maxExtent) / viewportSize[0];\n    var yResolution = getHeight(maxExtent) / viewportSize[1];\n    if (showFullExtent) {\n        return Math.min(resolution, Math.max(xResolution, yResolution));\n    }\n    return Math.min(resolution, Math.min(xResolution, yResolution));\n}\n/**\n * Returns a modified resolution to be between maxResolution and minResolution while\n * still allowing the value to be slightly out of bounds.\n * Note: the computation is based on the logarithm function (ln):\n *  - at 1, ln(x) is 0\n *  - above 1, ln(x) keeps increasing but at a much slower pace than x\n * The final result is clamped to prevent getting too far away from bounds.\n * @param {number} resolution Resolution.\n * @param {number} maxResolution Max resolution.\n * @param {number} minResolution Min resolution.\n * @return {number} Smoothed resolution.\n */\nfunction getSmoothClampedResolution(resolution, maxResolution, minResolution) {\n    var result = Math.min(resolution, maxResolution);\n    var ratio = 50;\n    result *=\n        Math.log(1 + ratio * Math.max(0, resolution / maxResolution - 1)) / ratio +\n            1;\n    if (minResolution) {\n        result = Math.max(result, minResolution);\n        result /=\n            Math.log(1 + ratio * Math.max(0, minResolution / resolution - 1)) /\n                ratio +\n                1;\n    }\n    return clamp(result, minResolution / 2, maxResolution * 2);\n}\n/**\n * @param {Array<number>} resolutions Resolutions.\n * @param {boolean} [opt_smooth] If true, the view will be able to slightly exceed resolution limits. Default: true.\n * @param {import(\"./extent.js\").Extent} [opt_maxExtent] Maximum allowed extent.\n * @param {boolean} [opt_showFullExtent] If true, allows us to show the full extent. Default: false.\n * @return {Type} Zoom function.\n */\nexport function createSnapToResolutions(resolutions, opt_smooth, opt_maxExtent, opt_showFullExtent) {\n    return (\n    /**\n     * @param {number|undefined} resolution Resolution.\n     * @param {number} direction Direction.\n     * @param {import(\"./size.js\").Size} size Viewport size.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @return {number|undefined} Resolution.\n     */\n    function (resolution, direction, size, opt_isMoving) {\n        if (resolution !== undefined) {\n            var maxResolution = resolutions[0];\n            var minResolution = resolutions[resolutions.length - 1];\n            var cappedMaxRes = opt_maxExtent\n                ? getViewportClampedResolution(maxResolution, opt_maxExtent, size, opt_showFullExtent)\n                : maxResolution;\n            // during interacting or animating, allow intermediary values\n            if (opt_isMoving) {\n                var smooth = opt_smooth !== undefined ? opt_smooth : true;\n                if (!smooth) {\n                    return clamp(resolution, minResolution, cappedMaxRes);\n                }\n                return getSmoothClampedResolution(resolution, cappedMaxRes, minResolution);\n            }\n            var capped = Math.min(cappedMaxRes, resolution);\n            var z = Math.floor(linearFindNearest(resolutions, capped, direction));\n            if (resolutions[z] > cappedMaxRes && z < resolutions.length - 1) {\n                return resolutions[z + 1];\n            }\n            return resolutions[z];\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n/**\n * @param {number} power Power.\n * @param {number} maxResolution Maximum resolution.\n * @param {number} [opt_minResolution] Minimum resolution.\n * @param {boolean} [opt_smooth] If true, the view will be able to slightly exceed resolution limits. Default: true.\n * @param {import(\"./extent.js\").Extent} [opt_maxExtent] Maximum allowed extent.\n * @param {boolean} [opt_showFullExtent] If true, allows us to show the full extent. Default: false.\n * @return {Type} Zoom function.\n */\nexport function createSnapToPower(power, maxResolution, opt_minResolution, opt_smooth, opt_maxExtent, opt_showFullExtent) {\n    return (\n    /**\n     * @param {number|undefined} resolution Resolution.\n     * @param {number} direction Direction.\n     * @param {import(\"./size.js\").Size} size Viewport size.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @return {number|undefined} Resolution.\n     */\n    function (resolution, direction, size, opt_isMoving) {\n        if (resolution !== undefined) {\n            var cappedMaxRes = opt_maxExtent\n                ? getViewportClampedResolution(maxResolution, opt_maxExtent, size, opt_showFullExtent)\n                : maxResolution;\n            var minResolution = opt_minResolution !== undefined ? opt_minResolution : 0;\n            // during interacting or animating, allow intermediary values\n            if (opt_isMoving) {\n                var smooth = opt_smooth !== undefined ? opt_smooth : true;\n                if (!smooth) {\n                    return clamp(resolution, minResolution, cappedMaxRes);\n                }\n                return getSmoothClampedResolution(resolution, cappedMaxRes, minResolution);\n            }\n            var tolerance = 1e-9;\n            var minZoomLevel = Math.ceil(Math.log(maxResolution / cappedMaxRes) / Math.log(power) - tolerance);\n            var offset = -direction * (0.5 - tolerance) + 0.5;\n            var capped = Math.min(cappedMaxRes, resolution);\n            var cappedZoomLevel = Math.floor(Math.log(maxResolution / capped) / Math.log(power) + offset);\n            var zoomLevel = Math.max(minZoomLevel, cappedZoomLevel);\n            var newResolution = maxResolution / Math.pow(power, zoomLevel);\n            return clamp(newResolution, minResolution, cappedMaxRes);\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n/**\n * @param {number} maxResolution Max resolution.\n * @param {number} minResolution Min resolution.\n * @param {boolean} [opt_smooth] If true, the view will be able to slightly exceed resolution limits. Default: true.\n * @param {import(\"./extent.js\").Extent} [opt_maxExtent] Maximum allowed extent.\n * @param {boolean} [opt_showFullExtent] If true, allows us to show the full extent. Default: false.\n * @return {Type} Zoom function.\n */\nexport function createMinMaxResolution(maxResolution, minResolution, opt_smooth, opt_maxExtent, opt_showFullExtent) {\n    return (\n    /**\n     * @param {number|undefined} resolution Resolution.\n     * @param {number} direction Direction.\n     * @param {import(\"./size.js\").Size} size Viewport size.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @return {number|undefined} Resolution.\n     */\n    function (resolution, direction, size, opt_isMoving) {\n        if (resolution !== undefined) {\n            var cappedMaxRes = opt_maxExtent\n                ? getViewportClampedResolution(maxResolution, opt_maxExtent, size, opt_showFullExtent)\n                : maxResolution;\n            var smooth = opt_smooth !== undefined ? opt_smooth : true;\n            if (!smooth || !opt_isMoving) {\n                return clamp(resolution, minResolution, cappedMaxRes);\n            }\n            return getSmoothClampedResolution(resolution, cappedMaxRes, minResolution);\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n//# sourceMappingURL=resolutionconstraint.js.map","/**\n * @module ol/rotationconstraint\n */\nimport { toRadians } from './math.js';\n/**\n * @typedef {function((number|undefined), boolean=): (number|undefined)} Type\n */\n/**\n * @param {number|undefined} rotation Rotation.\n * @return {number|undefined} Rotation.\n */\nexport function disable(rotation) {\n    if (rotation !== undefined) {\n        return 0;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {number|undefined} rotation Rotation.\n * @return {number|undefined} Rotation.\n */\nexport function none(rotation) {\n    if (rotation !== undefined) {\n        return rotation;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {number} n N.\n * @return {Type} Rotation constraint.\n */\nexport function createSnapToN(n) {\n    var theta = (2 * Math.PI) / n;\n    return (\n    /**\n     * @param {number|undefined} rotation Rotation.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @return {number|undefined} Rotation.\n     */\n    function (rotation, opt_isMoving) {\n        if (opt_isMoving) {\n            return rotation;\n        }\n        if (rotation !== undefined) {\n            rotation = Math.floor(rotation / theta + 0.5) * theta;\n            return rotation;\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n/**\n * @param {number} [opt_tolerance] Tolerance.\n * @return {Type} Rotation constraint.\n */\nexport function createSnapToZero(opt_tolerance) {\n    var tolerance = opt_tolerance || toRadians(5);\n    return (\n    /**\n     * @param {number|undefined} rotation Rotation.\n     * @param {boolean} [opt_isMoving] True if an interaction or animation is in progress.\n     * @return {number|undefined} Rotation.\n     */\n    function (rotation, opt_isMoving) {\n        if (opt_isMoving) {\n            return rotation;\n        }\n        if (rotation !== undefined) {\n            if (Math.abs(rotation) <= tolerance) {\n                return 0;\n            }\n            else {\n                return rotation;\n            }\n        }\n        else {\n            return undefined;\n        }\n    });\n}\n//# sourceMappingURL=rotationconstraint.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/View\n */\nimport BaseObject from './Object.js';\nimport GeometryType from './geom/GeometryType.js';\nimport Units from './proj/Units.js';\nimport ViewHint from './ViewHint.js';\nimport ViewProperty from './ViewProperty.js';\nimport { DEFAULT_TILE_SIZE } from './tilegrid/common.js';\nimport { METERS_PER_UNIT, createProjection, fromUserCoordinate, fromUserExtent, getUserProjection, toUserCoordinate, toUserExtent, } from './proj.js';\nimport { VOID } from './functions.js';\nimport { add as addCoordinate, equals as coordinatesEqual, rotate as rotateCoordinate, } from './coordinate.js';\nimport { assert } from './asserts.js';\nimport { assign } from './obj.js';\nimport { none as centerNone, createExtent } from './centerconstraint.js';\nimport { clamp, modulo } from './math.js';\nimport { createMinMaxResolution } from './resolutionconstraint.js';\nimport { createSnapToN, createSnapToZero, disable, none as rotationNone, } from './rotationconstraint.js';\nimport { createSnapToPower, createSnapToResolutions, } from './resolutionconstraint.js';\nimport { easeOut } from './easing.js';\nimport { equals } from './coordinate.js';\nimport { getCenter, getForViewAndSize, getHeight, getWidth, isEmpty, } from './extent.js';\nimport { inAndOut } from './easing.js';\nimport { linearFindNearest } from './array.js';\nimport { fromExtent as polygonFromExtent } from './geom/Polygon.js';\n/**\n * An animation configuration\n *\n * @typedef {Object} Animation\n * @property {import(\"./coordinate.js\").Coordinate} [sourceCenter] Source center.\n * @property {import(\"./coordinate.js\").Coordinate} [targetCenter] Target center.\n * @property {number} [sourceResolution] Source resolution.\n * @property {number} [targetResolution] Target resolution.\n * @property {number} [sourceRotation] Source rotation.\n * @property {number} [targetRotation] Target rotation.\n * @property {import(\"./coordinate.js\").Coordinate} [anchor] Anchor.\n * @property {number} start Start.\n * @property {number} duration Duration.\n * @property {boolean} complete Complete.\n * @property {function(number):number} easing Easing.\n * @property {function(boolean):void} callback Callback.\n */\n/**\n * @typedef {Object} Constraints\n * @property {import(\"./centerconstraint.js\").Type} center Center.\n * @property {import(\"./resolutionconstraint.js\").Type} resolution Resolution.\n * @property {import(\"./rotationconstraint.js\").Type} rotation Rotation.\n */\n/**\n * @typedef {Object} FitOptions\n * @property {import(\"./size.js\").Size} [size] The size in pixels of the box to fit\n * the extent into. Default is the current size of the first map in the DOM that\n * uses this view, or `[100, 100]` if no such map is found.\n * @property {!Array<number>} [padding=[0, 0, 0, 0]] Padding (in pixels) to be\n * cleared inside the view. Values in the array are top, right, bottom and left\n * padding.\n * @property {boolean} [nearest=false] If the view `constrainResolution` option is `true`,\n * get the nearest extent instead of the closest that actually fits the view.\n * @property {number} [minResolution=0] Minimum resolution that we zoom to.\n * @property {number} [maxZoom] Maximum zoom level that we zoom to. If\n * `minResolution` is given, this property is ignored.\n * @property {number} [duration] The duration of the animation in milliseconds.\n * By default, there is no animation to the target extent.\n * @property {function(number):number} [easing] The easing function used during\n * the animation (defaults to {@link module:ol/easing.inAndOut}).\n * The function will be called for each frame with a number representing a\n * fraction of the animation's duration.  The function should return a number\n * between 0 and 1 representing the progress toward the destination state.\n * @property {function(boolean):void} [callback] Function called when the view is in\n * its final position. The callback will be called with `true` if the animation\n * series completed on its own or `false` if it was cancelled.\n */\n/**\n * @typedef {Object} ViewOptions\n * @property {import(\"./coordinate.js\").Coordinate} [center] The initial center for\n * the view. If a user projection is not set, the coordinate system for the center is\n * specified with the `projection` option. Layer sources will not be fetched if this\n * is not set, but the center can be set later with {@link #setCenter}.\n * @property {boolean|number} [constrainRotation=true] Rotation constraint.\n * `false` means no constraint. `true` means no constraint, but snap to zero\n * near zero. A number constrains the rotation to that number of values. For\n * example, `4` will constrain the rotation to 0, 90, 180, and 270 degrees.\n * @property {boolean} [enableRotation=true] Enable rotation.\n * If `false`, a rotation constraint that always sets the rotation to zero is\n * used. The `constrainRotation` option has no effect if `enableRotation` is\n * `false`.\n * @property {import(\"./extent.js\").Extent} [extent] The extent that constrains the\n * view, in other words, nothing outside of this extent can be visible on the map.\n * @property {boolean} [constrainOnlyCenter=false] If true, the extent\n * constraint will only apply to the view center and not the whole extent.\n * @property {boolean} [smoothExtentConstraint=true] If true, the extent\n * constraint will be applied smoothly, i.e. allow the view to go slightly outside\n * of the given `extent`.\n * @property {number} [maxResolution] The maximum resolution used to determine\n * the resolution constraint. It is used together with `minResolution` (or\n * `maxZoom`) and `zoomFactor`. If unspecified it is calculated in such a way\n * that the projection's validity extent fits in a 256x256 px tile. If the\n * projection is Spherical Mercator (the default) then `maxResolution` defaults\n * to `40075016.68557849 / 256 = 156543.03392804097`.\n * @property {number} [minResolution] The minimum resolution used to determine\n * the resolution constraint.  It is used together with `maxResolution` (or\n * `minZoom`) and `zoomFactor`.  If unspecified it is calculated assuming 29\n * zoom levels (with a factor of 2). If the projection is Spherical Mercator\n * (the default) then `minResolution` defaults to\n * `40075016.68557849 / 256 / Math.pow(2, 28) = 0.0005831682455839253`.\n * @property {number} [maxZoom=28] The maximum zoom level used to determine the\n * resolution constraint. It is used together with `minZoom` (or\n * `maxResolution`) and `zoomFactor`.  Note that if `minResolution` is also\n * provided, it is given precedence over `maxZoom`.\n * @property {number} [minZoom=0] The minimum zoom level used to determine the\n * resolution constraint. It is used together with `maxZoom` (or\n * `minResolution`) and `zoomFactor`.  Note that if `maxResolution` is also\n * provided, it is given precedence over `minZoom`.\n * @property {boolean} [multiWorld=false] If `false` the view is constrained so\n * only one world is visible, and you cannot pan off the edge.  If `true` the map\n * may show multiple worlds at low zoom levels.  Only used if the `projection` is\n * global.  Note that if `extent` is also provided it is given precedence.\n * @property {boolean} [constrainResolution=false] If true, the view will always\n * animate to the closest zoom level after an interaction; false means\n * intermediary zoom levels are allowed.\n * @property {boolean} [smoothResolutionConstraint=true] If true, the resolution\n * min/max values will be applied smoothly, i. e. allow the view to exceed slightly\n * the given resolution or zoom bounds.\n * @property {boolean} [showFullExtent=false] Allow the view to be zoomed out to\n * show the full configured extent. By default, when a view is configured with an\n * extent, users will not be able to zoom out so the viewport exceeds the extent in\n * either dimension. This means the full extent may not be visible if the viewport\n * is taller or wider than the aspect ratio of the configured extent. If\n * showFullExtent is true, the user will be able to zoom out so that the viewport\n * exceeds the height or width of the configured extent, but not both, allowing the\n * full extent to be shown.\n * @property {import(\"./proj.js\").ProjectionLike} [projection='EPSG:3857'] The\n * projection. The default is Spherical Mercator.\n * @property {number} [resolution] The initial resolution for the view. The\n * units are `projection` units per pixel (e.g. meters per pixel). An\n * alternative to setting this is to set `zoom`. Layer sources will not be\n * fetched if neither this nor `zoom` are defined, but they can be set later\n * with {@link #setZoom} or {@link #setResolution}.\n * @property {Array<number>} [resolutions] Resolutions that determine the\n * zoom levels if specified. The index in the array corresponds to the zoom level,\n * therefore the resolution values have to be in descending order. It also constrains\n * the resolution by the minimum and maximum value. If set the `maxResolution`,\n * `minResolution`, `minZoom`, `maxZoom`, and `zoomFactor` options are ignored.\n * @property {number} [rotation=0] The initial rotation for the view in radians\n * (positive rotation clockwise, 0 means North).\n * @property {number} [zoom] Only used if `resolution` is not defined. Zoom\n * level used to calculate the initial resolution for the view.\n * @property {number} [zoomFactor=2] The zoom factor used to compute the\n * corresponding resolution.\n * @property {!Array<number>} [padding=[0, 0, 0, 0]] Padding (in css pixels).\n * If the map viewport is partially covered with other content (overlays) along\n * its edges, this setting allows to shift the center of the viewport away from\n * that content. The order of the values is top, right, bottom, left.\n */\n/**\n * @typedef {Object} AnimationOptions\n * @property {import(\"./coordinate.js\").Coordinate} [center] The center of the view at the end of\n * the animation.\n * @property {number} [zoom] The zoom level of the view at the end of the\n * animation. This takes precedence over `resolution`.\n * @property {number} [resolution] The resolution of the view at the end\n * of the animation.  If `zoom` is also provided, this option will be ignored.\n * @property {number} [rotation] The rotation of the view at the end of\n * the animation.\n * @property {import(\"./coordinate.js\").Coordinate} [anchor] Optional anchor to remain fixed\n * during a rotation or resolution animation.\n * @property {number} [duration=1000] The duration of the animation in milliseconds.\n * @property {function(number):number} [easing] The easing function used\n * during the animation (defaults to {@link module:ol/easing.inAndOut}).\n * The function will be called for each frame with a number representing a\n * fraction of the animation's duration.  The function should return a number\n * between 0 and 1 representing the progress toward the destination state.\n */\n/**\n * @typedef {Object} State\n * @property {import(\"./coordinate.js\").Coordinate} center Center.\n * @property {import(\"./proj/Projection.js\").default} projection Projection.\n * @property {number} resolution Resolution.\n * @property {import(\"./coordinate.js\").Coordinate} [nextCenter] The next center during an animation series.\n * @property {number} [nextResolution] The next resolution during an animation series.\n * @property {number} [nextRotation] The next rotation during an animation series.\n * @property {number} rotation Rotation.\n * @property {number} zoom Zoom.\n */\n/**\n * Default min zoom level for the map view.\n * @type {number}\n */\nvar DEFAULT_MIN_ZOOM = 0;\n/**\n * @typedef {import(\"./ObjectEventType\").Types|'change:center'|'change:resolution'|'change:rotation'} ViewObjectEventTypes\n */\n/***\n * @template Return\n * @typedef {import(\"./Observable\").OnSignature<import(\"./Observable\").EventTypes, import(\"./events/Event.js\").default, Return> &\n *   import(\"./Observable\").OnSignature<ViewObjectEventTypes, import(\"./Object\").ObjectEvent, Return> &\n *   import(\"./Observable\").CombinedOnSignature<import(\"./Observable\").EventTypes|ViewObjectEventTypes, Return>} ViewOnSignature\n */\n/**\n * @classdesc\n * A View object represents a simple 2D view of the map.\n *\n * This is the object to act upon to change the center, resolution,\n * and rotation of the map.\n *\n * A View has a `projection`. The projection determines the\n * coordinate system of the center, and its units determine the units of the\n * resolution (projection units per pixel). The default projection is\n * Spherical Mercator (EPSG:3857).\n *\n * ### The view states\n *\n * A View is determined by three states: `center`, `resolution`,\n * and `rotation`. Each state has a corresponding getter and setter, e.g.\n * `getCenter` and `setCenter` for the `center` state.\n *\n * The `zoom` state is actually not saved on the view: all computations\n * internally use the `resolution` state. Still, the `setZoom` and `getZoom`\n * methods are available, as well as `getResolutionForZoom` and\n * `getZoomForResolution` to switch from one system to the other.\n *\n * ### The constraints\n *\n * `setCenter`, `setResolution` and `setRotation` can be used to change the\n * states of the view, but any constraint defined in the constructor will\n * be applied along the way.\n *\n * A View object can have a *resolution constraint*, a *rotation constraint*\n * and a *center constraint*.\n *\n * The *resolution constraint* typically restricts min/max values and\n * snaps to specific resolutions. It is determined by the following\n * options: `resolutions`, `maxResolution`, `maxZoom` and `zoomFactor`.\n * If `resolutions` is set, the other three options are ignored. See\n * documentation for each option for more information. By default, the view\n * only has a min/max restriction and allow intermediary zoom levels when\n * pinch-zooming for example.\n *\n * The *rotation constraint* snaps to specific angles. It is determined\n * by the following options: `enableRotation` and `constrainRotation`.\n * By default rotation is allowed and its value is snapped to zero when approaching the\n * horizontal.\n *\n * The *center constraint* is determined by the `extent` option. By\n * default the view center is not constrained at all.\n *\n * ### Changing the view state\n *\n * It is important to note that `setZoom`, `setResolution`, `setCenter` and\n * `setRotation` are subject to the above mentioned constraints. As such, it\n * may sometimes not be possible to know in advance the resulting state of the\n * View. For example, calling `setResolution(10)` does not guarantee that\n * `getResolution()` will return `10`.\n *\n * A consequence of this is that, when applying a delta on the view state, one\n * should use `adjustCenter`, `adjustRotation`, `adjustZoom` and `adjustResolution`\n * rather than the corresponding setters. This will let view do its internal\n * computations. Besides, the `adjust*` methods also take an `opt_anchor`\n * argument which allows specifying an origin for the transformation.\n *\n * ### Interacting with the view\n *\n * View constraints are usually only applied when the view is *at rest*, meaning that\n * no interaction or animation is ongoing. As such, if the user puts the view in a\n * state that is not equivalent to a constrained one (e.g. rotating the view when\n * the snap angle is 0), an animation will be triggered at the interaction end to\n * put back the view to a stable state;\n *\n * @api\n */\nvar View = /** @class */ (function (_super) {\n    __extends(View, _super);\n    /**\n     * @param {ViewOptions} [opt_options] View options.\n     */\n    function View(opt_options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {ViewOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ViewOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ViewOnSignature<void>}\n         */\n        _this.un;\n        var options = assign({}, opt_options);\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.hints_ = [0, 0];\n        /**\n         * @private\n         * @type {Array<Array<Animation>>}\n         */\n        _this.animations_ = [];\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.updateAnimationKey_;\n        /**\n         * @private\n         * @const\n         * @type {import(\"./proj/Projection.js\").default}\n         */\n        _this.projection_ = createProjection(options.projection, 'EPSG:3857');\n        /**\n         * @private\n         * @type {import(\"./size.js\").Size}\n         */\n        _this.viewportSize_ = [100, 100];\n        /**\n         * @private\n         * @type {import(\"./coordinate.js\").Coordinate|undefined}\n         */\n        _this.targetCenter_ = null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.targetResolution_;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.targetRotation_;\n        /**\n         * @private\n         * @type {import(\"./coordinate.js\").Coordinate}\n         */\n        _this.nextCenter_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.nextResolution_;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.nextRotation_;\n        /**\n         * @private\n         * @type {import(\"./coordinate.js\").Coordinate|undefined}\n         */\n        _this.cancelAnchor_ = undefined;\n        if (options.center) {\n            options.center = fromUserCoordinate(options.center, _this.projection_);\n        }\n        if (options.extent) {\n            options.extent = fromUserExtent(options.extent, _this.projection_);\n        }\n        _this.applyOptions_(options);\n        return _this;\n    }\n    /**\n     * Set up the view with the given options.\n     * @param {ViewOptions} options View options.\n     */\n    View.prototype.applyOptions_ = function (options) {\n        var properties = assign({}, options);\n        for (var key in ViewProperty) {\n            delete properties[key];\n        }\n        this.setProperties(properties, true);\n        var resolutionConstraintInfo = createResolutionConstraint(options);\n        /**\n         * @private\n         * @type {number}\n         */\n        this.maxResolution_ = resolutionConstraintInfo.maxResolution;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.minResolution_ = resolutionConstraintInfo.minResolution;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.zoomFactor_ = resolutionConstraintInfo.zoomFactor;\n        /**\n         * @private\n         * @type {Array<number>|undefined}\n         */\n        this.resolutions_ = options.resolutions;\n        /**\n         * @type {Array<number>|undefined}\n         * @private\n         */\n        this.padding_ = options.padding;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.minZoom_ = resolutionConstraintInfo.minZoom;\n        var centerConstraint = createCenterConstraint(options);\n        var resolutionConstraint = resolutionConstraintInfo.constraint;\n        var rotationConstraint = createRotationConstraint(options);\n        /**\n         * @private\n         * @type {Constraints}\n         */\n        this.constraints_ = {\n            center: centerConstraint,\n            resolution: resolutionConstraint,\n            rotation: rotationConstraint,\n        };\n        this.setRotation(options.rotation !== undefined ? options.rotation : 0);\n        this.setCenterInternal(options.center !== undefined ? options.center : null);\n        if (options.resolution !== undefined) {\n            this.setResolution(options.resolution);\n        }\n        else if (options.zoom !== undefined) {\n            this.setZoom(options.zoom);\n        }\n    };\n    Object.defineProperty(View.prototype, \"padding\", {\n        /**\n         * Padding (in css pixels).\n         * If the map viewport is partially covered with other content (overlays) along\n         * its edges, this setting allows to shift the center of the viewport away from that\n         * content. The order of the values in the array is top, right, bottom, left.\n         * The default is no padding, which is equivalent to `[0, 0, 0, 0]`.\n         * @type {Array<number>|undefined}\n         * @api\n         */\n        get: function () {\n            return this.padding_;\n        },\n        set: function (padding) {\n            var oldPadding = this.padding_;\n            this.padding_ = padding;\n            var center = this.getCenter();\n            if (center) {\n                var newPadding = padding || [0, 0, 0, 0];\n                oldPadding = oldPadding || [0, 0, 0, 0];\n                var resolution = this.getResolution();\n                var offsetX = (resolution / 2) *\n                    (newPadding[3] - oldPadding[3] + oldPadding[1] - newPadding[1]);\n                var offsetY = (resolution / 2) *\n                    (newPadding[0] - oldPadding[0] + oldPadding[2] - newPadding[2]);\n                this.setCenterInternal([center[0] + offsetX, center[1] - offsetY]);\n            }\n        },\n        enumerable: false,\n        configurable: true\n    });\n    /**\n     * Get an updated version of the view options used to construct the view.  The\n     * current resolution (or zoom), center, and rotation are applied to any stored\n     * options.  The provided options can be used to apply new min/max zoom or\n     * resolution limits.\n     * @param {ViewOptions} newOptions New options to be applied.\n     * @return {ViewOptions} New options updated with the current view state.\n     */\n    View.prototype.getUpdatedOptions_ = function (newOptions) {\n        var options = this.getProperties();\n        // preserve resolution (or zoom)\n        if (options.resolution !== undefined) {\n            options.resolution = this.getResolution();\n        }\n        else {\n            options.zoom = this.getZoom();\n        }\n        // preserve center\n        options.center = this.getCenterInternal();\n        // preserve rotation\n        options.rotation = this.getRotation();\n        return assign({}, options, newOptions);\n    };\n    /**\n     * Animate the view.  The view's center, zoom (or resolution), and rotation\n     * can be animated for smooth transitions between view states.  For example,\n     * to animate the view to a new zoom level:\n     *\n     *     view.animate({zoom: view.getZoom() + 1});\n     *\n     * By default, the animation lasts one second and uses in-and-out easing.  You\n     * can customize this behavior by including `duration` (in milliseconds) and\n     * `easing` options (see {@link module:ol/easing}).\n     *\n     * To chain together multiple animations, call the method with multiple\n     * animation objects.  For example, to first zoom and then pan:\n     *\n     *     view.animate({zoom: 10}, {center: [0, 0]});\n     *\n     * If you provide a function as the last argument to the animate method, it\n     * will get called at the end of an animation series.  The callback will be\n     * called with `true` if the animation series completed on its own or `false`\n     * if it was cancelled.\n     *\n     * Animations are cancelled by user interactions (e.g. dragging the map) or by\n     * calling `view.setCenter()`, `view.setResolution()`, or `view.setRotation()`\n     * (or another method that calls one of these).\n     *\n     * @param {...(AnimationOptions|function(boolean): void)} var_args Animation\n     *     options.  Multiple animations can be run in series by passing multiple\n     *     options objects.  To run multiple animations in parallel, call the method\n     *     multiple times.  An optional callback can be provided as a final\n     *     argument.  The callback will be called with a boolean indicating whether\n     *     the animation completed without being cancelled.\n     * @api\n     */\n    View.prototype.animate = function (var_args) {\n        if (this.isDef() && !this.getAnimating()) {\n            this.resolveConstraints(0);\n        }\n        var args = new Array(arguments.length);\n        for (var i = 0; i < args.length; ++i) {\n            var options = arguments[i];\n            if (options.center) {\n                options = assign({}, options);\n                options.center = fromUserCoordinate(options.center, this.getProjection());\n            }\n            if (options.anchor) {\n                options = assign({}, options);\n                options.anchor = fromUserCoordinate(options.anchor, this.getProjection());\n            }\n            args[i] = options;\n        }\n        this.animateInternal.apply(this, args);\n    };\n    /**\n     * @param {...(AnimationOptions|function(boolean): void)} var_args Animation options.\n     */\n    View.prototype.animateInternal = function (var_args) {\n        var animationCount = arguments.length;\n        var callback;\n        if (animationCount > 1 &&\n            typeof arguments[animationCount - 1] === 'function') {\n            callback = arguments[animationCount - 1];\n            --animationCount;\n        }\n        var i = 0;\n        for (; i < animationCount && !this.isDef(); ++i) {\n            // if view properties are not yet set, shortcut to the final state\n            var state = arguments[i];\n            if (state.center) {\n                this.setCenterInternal(state.center);\n            }\n            if (state.zoom !== undefined) {\n                this.setZoom(state.zoom);\n            }\n            else if (state.resolution) {\n                this.setResolution(state.resolution);\n            }\n            if (state.rotation !== undefined) {\n                this.setRotation(state.rotation);\n            }\n        }\n        if (i === animationCount) {\n            if (callback) {\n                animationCallback(callback, true);\n            }\n            return;\n        }\n        var start = Date.now();\n        var center = this.targetCenter_.slice();\n        var resolution = this.targetResolution_;\n        var rotation = this.targetRotation_;\n        var series = [];\n        for (; i < animationCount; ++i) {\n            var options = /** @type {AnimationOptions} */ (arguments[i]);\n            var animation = {\n                start: start,\n                complete: false,\n                anchor: options.anchor,\n                duration: options.duration !== undefined ? options.duration : 1000,\n                easing: options.easing || inAndOut,\n                callback: callback,\n            };\n            if (options.center) {\n                animation.sourceCenter = center;\n                animation.targetCenter = options.center.slice();\n                center = animation.targetCenter;\n            }\n            if (options.zoom !== undefined) {\n                animation.sourceResolution = resolution;\n                animation.targetResolution = this.getResolutionForZoom(options.zoom);\n                resolution = animation.targetResolution;\n            }\n            else if (options.resolution) {\n                animation.sourceResolution = resolution;\n                animation.targetResolution = options.resolution;\n                resolution = animation.targetResolution;\n            }\n            if (options.rotation !== undefined) {\n                animation.sourceRotation = rotation;\n                var delta = modulo(options.rotation - rotation + Math.PI, 2 * Math.PI) - Math.PI;\n                animation.targetRotation = rotation + delta;\n                rotation = animation.targetRotation;\n            }\n            // check if animation is a no-op\n            if (isNoopAnimation(animation)) {\n                animation.complete = true;\n                // we still push it onto the series for callback handling\n            }\n            else {\n                start += animation.duration;\n            }\n            series.push(animation);\n        }\n        this.animations_.push(series);\n        this.setHint(ViewHint.ANIMATING, 1);\n        this.updateAnimations_();\n    };\n    /**\n     * Determine if the view is being animated.\n     * @return {boolean} The view is being animated.\n     * @api\n     */\n    View.prototype.getAnimating = function () {\n        return this.hints_[ViewHint.ANIMATING] > 0;\n    };\n    /**\n     * Determine if the user is interacting with the view, such as panning or zooming.\n     * @return {boolean} The view is being interacted with.\n     * @api\n     */\n    View.prototype.getInteracting = function () {\n        return this.hints_[ViewHint.INTERACTING] > 0;\n    };\n    /**\n     * Cancel any ongoing animations.\n     * @api\n     */\n    View.prototype.cancelAnimations = function () {\n        this.setHint(ViewHint.ANIMATING, -this.hints_[ViewHint.ANIMATING]);\n        var anchor;\n        for (var i = 0, ii = this.animations_.length; i < ii; ++i) {\n            var series = this.animations_[i];\n            if (series[0].callback) {\n                animationCallback(series[0].callback, false);\n            }\n            if (!anchor) {\n                for (var j = 0, jj = series.length; j < jj; ++j) {\n                    var animation = series[j];\n                    if (!animation.complete) {\n                        anchor = animation.anchor;\n                        break;\n                    }\n                }\n            }\n        }\n        this.animations_.length = 0;\n        this.cancelAnchor_ = anchor;\n        this.nextCenter_ = null;\n        this.nextResolution_ = NaN;\n        this.nextRotation_ = NaN;\n    };\n    /**\n     * Update all animations.\n     */\n    View.prototype.updateAnimations_ = function () {\n        if (this.updateAnimationKey_ !== undefined) {\n            cancelAnimationFrame(this.updateAnimationKey_);\n            this.updateAnimationKey_ = undefined;\n        }\n        if (!this.getAnimating()) {\n            return;\n        }\n        var now = Date.now();\n        var more = false;\n        for (var i = this.animations_.length - 1; i >= 0; --i) {\n            var series = this.animations_[i];\n            var seriesComplete = true;\n            for (var j = 0, jj = series.length; j < jj; ++j) {\n                var animation = series[j];\n                if (animation.complete) {\n                    continue;\n                }\n                var elapsed = now - animation.start;\n                var fraction = animation.duration > 0 ? elapsed / animation.duration : 1;\n                if (fraction >= 1) {\n                    animation.complete = true;\n                    fraction = 1;\n                }\n                else {\n                    seriesComplete = false;\n                }\n                var progress = animation.easing(fraction);\n                if (animation.sourceCenter) {\n                    var x0 = animation.sourceCenter[0];\n                    var y0 = animation.sourceCenter[1];\n                    var x1 = animation.targetCenter[0];\n                    var y1 = animation.targetCenter[1];\n                    this.nextCenter_ = animation.targetCenter;\n                    var x = x0 + progress * (x1 - x0);\n                    var y = y0 + progress * (y1 - y0);\n                    this.targetCenter_ = [x, y];\n                }\n                if (animation.sourceResolution && animation.targetResolution) {\n                    var resolution = progress === 1\n                        ? animation.targetResolution\n                        : animation.sourceResolution +\n                            progress *\n                                (animation.targetResolution - animation.sourceResolution);\n                    if (animation.anchor) {\n                        var size = this.getViewportSize_(this.getRotation());\n                        var constrainedResolution = this.constraints_.resolution(resolution, 0, size, true);\n                        this.targetCenter_ = this.calculateCenterZoom(constrainedResolution, animation.anchor);\n                    }\n                    this.nextResolution_ = animation.targetResolution;\n                    this.targetResolution_ = resolution;\n                    this.applyTargetState_(true);\n                }\n                if (animation.sourceRotation !== undefined &&\n                    animation.targetRotation !== undefined) {\n                    var rotation = progress === 1\n                        ? modulo(animation.targetRotation + Math.PI, 2 * Math.PI) -\n                            Math.PI\n                        : animation.sourceRotation +\n                            progress *\n                                (animation.targetRotation - animation.sourceRotation);\n                    if (animation.anchor) {\n                        var constrainedRotation = this.constraints_.rotation(rotation, true);\n                        this.targetCenter_ = this.calculateCenterRotate(constrainedRotation, animation.anchor);\n                    }\n                    this.nextRotation_ = animation.targetRotation;\n                    this.targetRotation_ = rotation;\n                }\n                this.applyTargetState_(true);\n                more = true;\n                if (!animation.complete) {\n                    break;\n                }\n            }\n            if (seriesComplete) {\n                this.animations_[i] = null;\n                this.setHint(ViewHint.ANIMATING, -1);\n                this.nextCenter_ = null;\n                this.nextResolution_ = NaN;\n                this.nextRotation_ = NaN;\n                var callback = series[0].callback;\n                if (callback) {\n                    animationCallback(callback, true);\n                }\n            }\n        }\n        // prune completed series\n        this.animations_ = this.animations_.filter(Boolean);\n        if (more && this.updateAnimationKey_ === undefined) {\n            this.updateAnimationKey_ = requestAnimationFrame(this.updateAnimations_.bind(this));\n        }\n    };\n    /**\n     * @param {number} rotation Target rotation.\n     * @param {import(\"./coordinate.js\").Coordinate} anchor Rotation anchor.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} Center for rotation and anchor.\n     */\n    View.prototype.calculateCenterRotate = function (rotation, anchor) {\n        var center;\n        var currentCenter = this.getCenterInternal();\n        if (currentCenter !== undefined) {\n            center = [currentCenter[0] - anchor[0], currentCenter[1] - anchor[1]];\n            rotateCoordinate(center, rotation - this.getRotation());\n            addCoordinate(center, anchor);\n        }\n        return center;\n    };\n    /**\n     * @param {number} resolution Target resolution.\n     * @param {import(\"./coordinate.js\").Coordinate} anchor Zoom anchor.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} Center for resolution and anchor.\n     */\n    View.prototype.calculateCenterZoom = function (resolution, anchor) {\n        var center;\n        var currentCenter = this.getCenterInternal();\n        var currentResolution = this.getResolution();\n        if (currentCenter !== undefined && currentResolution !== undefined) {\n            var x = anchor[0] -\n                (resolution * (anchor[0] - currentCenter[0])) / currentResolution;\n            var y = anchor[1] -\n                (resolution * (anchor[1] - currentCenter[1])) / currentResolution;\n            center = [x, y];\n        }\n        return center;\n    };\n    /**\n     * Returns the current viewport size.\n     * @private\n     * @param {number} [opt_rotation] Take into account the rotation of the viewport when giving the size\n     * @return {import(\"./size.js\").Size} Viewport size or `[100, 100]` when no viewport is found.\n     */\n    View.prototype.getViewportSize_ = function (opt_rotation) {\n        var size = this.viewportSize_;\n        if (opt_rotation) {\n            var w = size[0];\n            var h = size[1];\n            return [\n                Math.abs(w * Math.cos(opt_rotation)) +\n                    Math.abs(h * Math.sin(opt_rotation)),\n                Math.abs(w * Math.sin(opt_rotation)) +\n                    Math.abs(h * Math.cos(opt_rotation)),\n            ];\n        }\n        else {\n            return size;\n        }\n    };\n    /**\n     * Stores the viewport size on the view. The viewport size is not read every time from the DOM\n     * to avoid performance hit and layout reflow.\n     * This should be done on map size change.\n     * Note: the constraints are not resolved during an animation to avoid stopping it\n     * @param {import(\"./size.js\").Size} [opt_size] Viewport size; if undefined, [100, 100] is assumed\n     */\n    View.prototype.setViewportSize = function (opt_size) {\n        this.viewportSize_ = Array.isArray(opt_size)\n            ? opt_size.slice()\n            : [100, 100];\n        if (!this.getAnimating()) {\n            this.resolveConstraints(0);\n        }\n    };\n    /**\n     * Get the view center.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} The center of the view.\n     * @observable\n     * @api\n     */\n    View.prototype.getCenter = function () {\n        var center = this.getCenterInternal();\n        if (!center) {\n            return center;\n        }\n        return toUserCoordinate(center, this.getProjection());\n    };\n    /**\n     * Get the view center without transforming to user projection.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} The center of the view.\n     */\n    View.prototype.getCenterInternal = function () {\n        return /** @type {import(\"./coordinate.js\").Coordinate|undefined} */ (this.get(ViewProperty.CENTER));\n    };\n    /**\n     * @return {Constraints} Constraints.\n     */\n    View.prototype.getConstraints = function () {\n        return this.constraints_;\n    };\n    /**\n     * @return {boolean} Resolution constraint is set\n     */\n    View.prototype.getConstrainResolution = function () {\n        return this.get('constrainResolution');\n    };\n    /**\n     * @param {Array<number>} [opt_hints] Destination array.\n     * @return {Array<number>} Hint.\n     */\n    View.prototype.getHints = function (opt_hints) {\n        if (opt_hints !== undefined) {\n            opt_hints[0] = this.hints_[0];\n            opt_hints[1] = this.hints_[1];\n            return opt_hints;\n        }\n        else {\n            return this.hints_.slice();\n        }\n    };\n    /**\n     * Calculate the extent for the current view state and the passed size.\n     * The size is the pixel dimensions of the box into which the calculated extent\n     * should fit. In most cases you want to get the extent of the entire map,\n     * that is `map.getSize()`.\n     * @param {import(\"./size.js\").Size} [opt_size] Box pixel size. If not provided, the size\n     * of the map that uses this view will be used.\n     * @return {import(\"./extent.js\").Extent} Extent.\n     * @api\n     */\n    View.prototype.calculateExtent = function (opt_size) {\n        var extent = this.calculateExtentInternal(opt_size);\n        return toUserExtent(extent, this.getProjection());\n    };\n    /**\n     * @param {import(\"./size.js\").Size} [opt_size] Box pixel size. If not provided,\n     * the map's last known viewport size will be used.\n     * @return {import(\"./extent.js\").Extent} Extent.\n     */\n    View.prototype.calculateExtentInternal = function (opt_size) {\n        var size = opt_size || this.getViewportSizeMinusPadding_();\n        var center = /** @type {!import(\"./coordinate.js\").Coordinate} */ (this.getCenterInternal());\n        assert(center, 1); // The view center is not defined\n        var resolution = /** @type {!number} */ (this.getResolution());\n        assert(resolution !== undefined, 2); // The view resolution is not defined\n        var rotation = /** @type {!number} */ (this.getRotation());\n        assert(rotation !== undefined, 3); // The view rotation is not defined\n        return getForViewAndSize(center, resolution, rotation, size);\n    };\n    /**\n     * Get the maximum resolution of the view.\n     * @return {number} The maximum resolution of the view.\n     * @api\n     */\n    View.prototype.getMaxResolution = function () {\n        return this.maxResolution_;\n    };\n    /**\n     * Get the minimum resolution of the view.\n     * @return {number} The minimum resolution of the view.\n     * @api\n     */\n    View.prototype.getMinResolution = function () {\n        return this.minResolution_;\n    };\n    /**\n     * Get the maximum zoom level for the view.\n     * @return {number} The maximum zoom level.\n     * @api\n     */\n    View.prototype.getMaxZoom = function () {\n        return /** @type {number} */ (this.getZoomForResolution(this.minResolution_));\n    };\n    /**\n     * Set a new maximum zoom level for the view.\n     * @param {number} zoom The maximum zoom level.\n     * @api\n     */\n    View.prototype.setMaxZoom = function (zoom) {\n        this.applyOptions_(this.getUpdatedOptions_({ maxZoom: zoom }));\n    };\n    /**\n     * Get the minimum zoom level for the view.\n     * @return {number} The minimum zoom level.\n     * @api\n     */\n    View.prototype.getMinZoom = function () {\n        return /** @type {number} */ (this.getZoomForResolution(this.maxResolution_));\n    };\n    /**\n     * Set a new minimum zoom level for the view.\n     * @param {number} zoom The minimum zoom level.\n     * @api\n     */\n    View.prototype.setMinZoom = function (zoom) {\n        this.applyOptions_(this.getUpdatedOptions_({ minZoom: zoom }));\n    };\n    /**\n     * Set whether the view should allow intermediary zoom levels.\n     * @param {boolean} enabled Whether the resolution is constrained.\n     * @api\n     */\n    View.prototype.setConstrainResolution = function (enabled) {\n        this.applyOptions_(this.getUpdatedOptions_({ constrainResolution: enabled }));\n    };\n    /**\n     * Get the view projection.\n     * @return {import(\"./proj/Projection.js\").default} The projection of the view.\n     * @api\n     */\n    View.prototype.getProjection = function () {\n        return this.projection_;\n    };\n    /**\n     * Get the view resolution.\n     * @return {number|undefined} The resolution of the view.\n     * @observable\n     * @api\n     */\n    View.prototype.getResolution = function () {\n        return /** @type {number|undefined} */ (this.get(ViewProperty.RESOLUTION));\n    };\n    /**\n     * Get the resolutions for the view. This returns the array of resolutions\n     * passed to the constructor of the View, or undefined if none were given.\n     * @return {Array<number>|undefined} The resolutions of the view.\n     * @api\n     */\n    View.prototype.getResolutions = function () {\n        return this.resolutions_;\n    };\n    /**\n     * Get the resolution for a provided extent (in map units) and size (in pixels).\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {import(\"./size.js\").Size} [opt_size] Box pixel size.\n     * @return {number} The resolution at which the provided extent will render at\n     *     the given size.\n     * @api\n     */\n    View.prototype.getResolutionForExtent = function (extent, opt_size) {\n        return this.getResolutionForExtentInternal(fromUserExtent(extent, this.getProjection()), opt_size);\n    };\n    /**\n     * Get the resolution for a provided extent (in map units) and size (in pixels).\n     * @param {import(\"./extent.js\").Extent} extent Extent.\n     * @param {import(\"./size.js\").Size} [opt_size] Box pixel size.\n     * @return {number} The resolution at which the provided extent will render at\n     *     the given size.\n     */\n    View.prototype.getResolutionForExtentInternal = function (extent, opt_size) {\n        var size = opt_size || this.getViewportSizeMinusPadding_();\n        var xResolution = getWidth(extent) / size[0];\n        var yResolution = getHeight(extent) / size[1];\n        return Math.max(xResolution, yResolution);\n    };\n    /**\n     * Return a function that returns a value between 0 and 1 for a\n     * resolution. Exponential scaling is assumed.\n     * @param {number} [opt_power] Power.\n     * @return {function(number): number} Resolution for value function.\n     */\n    View.prototype.getResolutionForValueFunction = function (opt_power) {\n        var power = opt_power || 2;\n        var maxResolution = this.getConstrainedResolution(this.maxResolution_);\n        var minResolution = this.minResolution_;\n        var max = Math.log(maxResolution / minResolution) / Math.log(power);\n        return (\n        /**\n         * @param {number} value Value.\n         * @return {number} Resolution.\n         */\n        function (value) {\n            var resolution = maxResolution / Math.pow(power, value * max);\n            return resolution;\n        });\n    };\n    /**\n     * Get the view rotation.\n     * @return {number} The rotation of the view in radians.\n     * @observable\n     * @api\n     */\n    View.prototype.getRotation = function () {\n        return /** @type {number} */ (this.get(ViewProperty.ROTATION));\n    };\n    /**\n     * Return a function that returns a resolution for a value between\n     * 0 and 1. Exponential scaling is assumed.\n     * @param {number} [opt_power] Power.\n     * @return {function(number): number} Value for resolution function.\n     */\n    View.prototype.getValueForResolutionFunction = function (opt_power) {\n        var logPower = Math.log(opt_power || 2);\n        var maxResolution = this.getConstrainedResolution(this.maxResolution_);\n        var minResolution = this.minResolution_;\n        var max = Math.log(maxResolution / minResolution) / logPower;\n        return (\n        /**\n         * @param {number} resolution Resolution.\n         * @return {number} Value.\n         */\n        function (resolution) {\n            var value = Math.log(maxResolution / resolution) / logPower / max;\n            return value;\n        });\n    };\n    /**\n     * Returns the size of the viewport minus padding.\n     * @private\n     * @param {number} [opt_rotation] Take into account the rotation of the viewport when giving the size\n     * @return {import(\"./size.js\").Size} Viewport size reduced by the padding.\n     */\n    View.prototype.getViewportSizeMinusPadding_ = function (opt_rotation) {\n        var size = this.getViewportSize_(opt_rotation);\n        var padding = this.padding_;\n        if (padding) {\n            size = [\n                size[0] - padding[1] - padding[3],\n                size[1] - padding[0] - padding[2],\n            ];\n        }\n        return size;\n    };\n    /**\n     * @return {State} View state.\n     */\n    View.prototype.getState = function () {\n        var projection = this.getProjection();\n        var resolution = this.getResolution();\n        var rotation = this.getRotation();\n        var center = /** @type {import(\"./coordinate.js\").Coordinate} */ (this.getCenterInternal());\n        var padding = this.padding_;\n        if (padding) {\n            var reducedSize = this.getViewportSizeMinusPadding_();\n            center = calculateCenterOn(center, this.getViewportSize_(), [reducedSize[0] / 2 + padding[3], reducedSize[1] / 2 + padding[0]], resolution, rotation);\n        }\n        return {\n            center: center.slice(0),\n            projection: projection !== undefined ? projection : null,\n            resolution: resolution,\n            nextCenter: this.nextCenter_,\n            nextResolution: this.nextResolution_,\n            nextRotation: this.nextRotation_,\n            rotation: rotation,\n            zoom: this.getZoom(),\n        };\n    };\n    /**\n     * Get the current zoom level. This method may return non-integer zoom levels\n     * if the view does not constrain the resolution, or if an interaction or\n     * animation is underway.\n     * @return {number|undefined} Zoom.\n     * @api\n     */\n    View.prototype.getZoom = function () {\n        var zoom;\n        var resolution = this.getResolution();\n        if (resolution !== undefined) {\n            zoom = this.getZoomForResolution(resolution);\n        }\n        return zoom;\n    };\n    /**\n     * Get the zoom level for a resolution.\n     * @param {number} resolution The resolution.\n     * @return {number|undefined} The zoom level for the provided resolution.\n     * @api\n     */\n    View.prototype.getZoomForResolution = function (resolution) {\n        var offset = this.minZoom_ || 0;\n        var max, zoomFactor;\n        if (this.resolutions_) {\n            var nearest = linearFindNearest(this.resolutions_, resolution, 1);\n            offset = nearest;\n            max = this.resolutions_[nearest];\n            if (nearest == this.resolutions_.length - 1) {\n                zoomFactor = 2;\n            }\n            else {\n                zoomFactor = max / this.resolutions_[nearest + 1];\n            }\n        }\n        else {\n            max = this.maxResolution_;\n            zoomFactor = this.zoomFactor_;\n        }\n        return offset + Math.log(max / resolution) / Math.log(zoomFactor);\n    };\n    /**\n     * Get the resolution for a zoom level.\n     * @param {number} zoom Zoom level.\n     * @return {number} The view resolution for the provided zoom level.\n     * @api\n     */\n    View.prototype.getResolutionForZoom = function (zoom) {\n        if (this.resolutions_) {\n            if (this.resolutions_.length <= 1) {\n                return 0;\n            }\n            var baseLevel = clamp(Math.floor(zoom), 0, this.resolutions_.length - 2);\n            var zoomFactor = this.resolutions_[baseLevel] / this.resolutions_[baseLevel + 1];\n            return (this.resolutions_[baseLevel] /\n                Math.pow(zoomFactor, clamp(zoom - baseLevel, 0, 1)));\n        }\n        else {\n            return (this.maxResolution_ / Math.pow(this.zoomFactor_, zoom - this.minZoom_));\n        }\n    };\n    /**\n     * Fit the given geometry or extent based on the given map size and border.\n     * The size is pixel dimensions of the box to fit the extent into.\n     * In most cases you will want to use the map size, that is `map.getSize()`.\n     * Takes care of the map angle.\n     * @param {import(\"./geom/SimpleGeometry.js\").default|import(\"./extent.js\").Extent} geometryOrExtent The geometry or\n     *     extent to fit the view to.\n     * @param {FitOptions} [opt_options] Options.\n     * @api\n     */\n    View.prototype.fit = function (geometryOrExtent, opt_options) {\n        /** @type {import(\"./geom/SimpleGeometry.js\").default} */\n        var geometry;\n        assert(Array.isArray(geometryOrExtent) ||\n            typeof ( /** @type {?} */(geometryOrExtent).getSimplifiedGeometry) ===\n                'function', 24); // Invalid extent or geometry provided as `geometry`\n        if (Array.isArray(geometryOrExtent)) {\n            assert(!isEmpty(geometryOrExtent), 25); // Cannot fit empty extent provided as `geometry`\n            var extent = fromUserExtent(geometryOrExtent, this.getProjection());\n            geometry = polygonFromExtent(extent);\n        }\n        else if (geometryOrExtent.getType() === GeometryType.CIRCLE) {\n            var extent = fromUserExtent(geometryOrExtent.getExtent(), this.getProjection());\n            geometry = polygonFromExtent(extent);\n            geometry.rotate(this.getRotation(), getCenter(extent));\n        }\n        else {\n            var userProjection = getUserProjection();\n            if (userProjection) {\n                geometry = /** @type {import(\"./geom/SimpleGeometry.js\").default} */ (geometryOrExtent\n                    .clone()\n                    .transform(userProjection, this.getProjection()));\n            }\n            else {\n                geometry = geometryOrExtent;\n            }\n        }\n        this.fitInternal(geometry, opt_options);\n    };\n    /**\n     * Calculate rotated extent\n     * @param {import(\"./geom/SimpleGeometry.js\").default} geometry The geometry.\n     * @return {import(\"./extent\").Extent} The rotated extent for the geometry.\n     */\n    View.prototype.rotatedExtentForGeometry = function (geometry) {\n        var rotation = this.getRotation();\n        var cosAngle = Math.cos(rotation);\n        var sinAngle = Math.sin(-rotation);\n        var coords = geometry.getFlatCoordinates();\n        var stride = geometry.getStride();\n        var minRotX = +Infinity;\n        var minRotY = +Infinity;\n        var maxRotX = -Infinity;\n        var maxRotY = -Infinity;\n        for (var i = 0, ii = coords.length; i < ii; i += stride) {\n            var rotX = coords[i] * cosAngle - coords[i + 1] * sinAngle;\n            var rotY = coords[i] * sinAngle + coords[i + 1] * cosAngle;\n            minRotX = Math.min(minRotX, rotX);\n            minRotY = Math.min(minRotY, rotY);\n            maxRotX = Math.max(maxRotX, rotX);\n            maxRotY = Math.max(maxRotY, rotY);\n        }\n        return [minRotX, minRotY, maxRotX, maxRotY];\n    };\n    /**\n     * @param {import(\"./geom/SimpleGeometry.js\").default} geometry The geometry.\n     * @param {FitOptions} [opt_options] Options.\n     */\n    View.prototype.fitInternal = function (geometry, opt_options) {\n        var options = opt_options || {};\n        var size = options.size;\n        if (!size) {\n            size = this.getViewportSizeMinusPadding_();\n        }\n        var padding = options.padding !== undefined ? options.padding : [0, 0, 0, 0];\n        var nearest = options.nearest !== undefined ? options.nearest : false;\n        var minResolution;\n        if (options.minResolution !== undefined) {\n            minResolution = options.minResolution;\n        }\n        else if (options.maxZoom !== undefined) {\n            minResolution = this.getResolutionForZoom(options.maxZoom);\n        }\n        else {\n            minResolution = 0;\n        }\n        var rotatedExtent = this.rotatedExtentForGeometry(geometry);\n        // calculate resolution\n        var resolution = this.getResolutionForExtentInternal(rotatedExtent, [\n            size[0] - padding[1] - padding[3],\n            size[1] - padding[0] - padding[2],\n        ]);\n        resolution = isNaN(resolution)\n            ? minResolution\n            : Math.max(resolution, minResolution);\n        resolution = this.getConstrainedResolution(resolution, nearest ? 0 : 1);\n        // calculate center\n        var rotation = this.getRotation();\n        var sinAngle = Math.sin(rotation);\n        var cosAngle = Math.cos(rotation);\n        var centerRot = getCenter(rotatedExtent);\n        centerRot[0] += ((padding[1] - padding[3]) / 2) * resolution;\n        centerRot[1] += ((padding[0] - padding[2]) / 2) * resolution;\n        var centerX = centerRot[0] * cosAngle - centerRot[1] * sinAngle;\n        var centerY = centerRot[1] * cosAngle + centerRot[0] * sinAngle;\n        var center = this.getConstrainedCenter([centerX, centerY], resolution);\n        var callback = options.callback ? options.callback : VOID;\n        if (options.duration !== undefined) {\n            this.animateInternal({\n                resolution: resolution,\n                center: center,\n                duration: options.duration,\n                easing: options.easing,\n            }, callback);\n        }\n        else {\n            this.targetResolution_ = resolution;\n            this.targetCenter_ = center;\n            this.applyTargetState_(false, true);\n            animationCallback(callback, true);\n        }\n    };\n    /**\n     * Center on coordinate and view position.\n     * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"./size.js\").Size} size Box pixel size.\n     * @param {import(\"./pixel.js\").Pixel} position Position on the view to center on.\n     * @api\n     */\n    View.prototype.centerOn = function (coordinate, size, position) {\n        this.centerOnInternal(fromUserCoordinate(coordinate, this.getProjection()), size, position);\n    };\n    /**\n     * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"./size.js\").Size} size Box pixel size.\n     * @param {import(\"./pixel.js\").Pixel} position Position on the view to center on.\n     */\n    View.prototype.centerOnInternal = function (coordinate, size, position) {\n        this.setCenterInternal(calculateCenterOn(coordinate, size, position, this.getResolution(), this.getRotation()));\n    };\n    /**\n     * Calculates the shift between map and viewport center.\n     * @param {import(\"./coordinate.js\").Coordinate} center Center.\n     * @param {number} resolution Resolution.\n     * @param {number} rotation Rotation.\n     * @param {import(\"./size.js\").Size} size Size.\n     * @return {Array<number>|undefined} Center shift.\n     */\n    View.prototype.calculateCenterShift = function (center, resolution, rotation, size) {\n        var centerShift;\n        var padding = this.padding_;\n        if (padding && center) {\n            var reducedSize = this.getViewportSizeMinusPadding_(-rotation);\n            var shiftedCenter = calculateCenterOn(center, size, [reducedSize[0] / 2 + padding[3], reducedSize[1] / 2 + padding[0]], resolution, rotation);\n            centerShift = [\n                center[0] - shiftedCenter[0],\n                center[1] - shiftedCenter[1],\n            ];\n        }\n        return centerShift;\n    };\n    /**\n     * @return {boolean} Is defined.\n     */\n    View.prototype.isDef = function () {\n        return !!this.getCenterInternal() && this.getResolution() !== undefined;\n    };\n    /**\n     * Adds relative coordinates to the center of the view. Any extent constraint will apply.\n     * @param {import(\"./coordinate.js\").Coordinate} deltaCoordinates Relative value to add.\n     * @api\n     */\n    View.prototype.adjustCenter = function (deltaCoordinates) {\n        var center = toUserCoordinate(this.targetCenter_, this.getProjection());\n        this.setCenter([\n            center[0] + deltaCoordinates[0],\n            center[1] + deltaCoordinates[1],\n        ]);\n    };\n    /**\n     * Adds relative coordinates to the center of the view. Any extent constraint will apply.\n     * @param {import(\"./coordinate.js\").Coordinate} deltaCoordinates Relative value to add.\n     */\n    View.prototype.adjustCenterInternal = function (deltaCoordinates) {\n        var center = this.targetCenter_;\n        this.setCenterInternal([\n            center[0] + deltaCoordinates[0],\n            center[1] + deltaCoordinates[1],\n        ]);\n    };\n    /**\n     * Multiply the view resolution by a ratio, optionally using an anchor. Any resolution\n     * constraint will apply.\n     * @param {number} ratio The ratio to apply on the view resolution.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     * @api\n     */\n    View.prototype.adjustResolution = function (ratio, opt_anchor) {\n        var anchor = opt_anchor && fromUserCoordinate(opt_anchor, this.getProjection());\n        this.adjustResolutionInternal(ratio, anchor);\n    };\n    /**\n     * Multiply the view resolution by a ratio, optionally using an anchor. Any resolution\n     * constraint will apply.\n     * @param {number} ratio The ratio to apply on the view resolution.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     */\n    View.prototype.adjustResolutionInternal = function (ratio, opt_anchor) {\n        var isMoving = this.getAnimating() || this.getInteracting();\n        var size = this.getViewportSize_(this.getRotation());\n        var newResolution = this.constraints_.resolution(this.targetResolution_ * ratio, 0, size, isMoving);\n        if (opt_anchor) {\n            this.targetCenter_ = this.calculateCenterZoom(newResolution, opt_anchor);\n        }\n        this.targetResolution_ *= ratio;\n        this.applyTargetState_();\n    };\n    /**\n     * Adds a value to the view zoom level, optionally using an anchor. Any resolution\n     * constraint will apply.\n     * @param {number} delta Relative value to add to the zoom level.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     * @api\n     */\n    View.prototype.adjustZoom = function (delta, opt_anchor) {\n        this.adjustResolution(Math.pow(this.zoomFactor_, -delta), opt_anchor);\n    };\n    /**\n     * Adds a value to the view rotation, optionally using an anchor. Any rotation\n     * constraint will apply.\n     * @param {number} delta Relative value to add to the zoom rotation, in radians.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The rotation center.\n     * @api\n     */\n    View.prototype.adjustRotation = function (delta, opt_anchor) {\n        if (opt_anchor) {\n            opt_anchor = fromUserCoordinate(opt_anchor, this.getProjection());\n        }\n        this.adjustRotationInternal(delta, opt_anchor);\n    };\n    /**\n     * @param {number} delta Relative value to add to the zoom rotation, in radians.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The rotation center.\n     */\n    View.prototype.adjustRotationInternal = function (delta, opt_anchor) {\n        var isMoving = this.getAnimating() || this.getInteracting();\n        var newRotation = this.constraints_.rotation(this.targetRotation_ + delta, isMoving);\n        if (opt_anchor) {\n            this.targetCenter_ = this.calculateCenterRotate(newRotation, opt_anchor);\n        }\n        this.targetRotation_ += delta;\n        this.applyTargetState_();\n    };\n    /**\n     * Set the center of the current view. Any extent constraint will apply.\n     * @param {import(\"./coordinate.js\").Coordinate|undefined} center The center of the view.\n     * @observable\n     * @api\n     */\n    View.prototype.setCenter = function (center) {\n        this.setCenterInternal(fromUserCoordinate(center, this.getProjection()));\n    };\n    /**\n     * Set the center using the view projection (not the user projection).\n     * @param {import(\"./coordinate.js\").Coordinate|undefined} center The center of the view.\n     */\n    View.prototype.setCenterInternal = function (center) {\n        this.targetCenter_ = center;\n        this.applyTargetState_();\n    };\n    /**\n     * @param {import(\"./ViewHint.js\").default} hint Hint.\n     * @param {number} delta Delta.\n     * @return {number} New value.\n     */\n    View.prototype.setHint = function (hint, delta) {\n        this.hints_[hint] += delta;\n        this.changed();\n        return this.hints_[hint];\n    };\n    /**\n     * Set the resolution for this view. Any resolution constraint will apply.\n     * @param {number|undefined} resolution The resolution of the view.\n     * @observable\n     * @api\n     */\n    View.prototype.setResolution = function (resolution) {\n        this.targetResolution_ = resolution;\n        this.applyTargetState_();\n    };\n    /**\n     * Set the rotation for this view. Any rotation constraint will apply.\n     * @param {number} rotation The rotation of the view in radians.\n     * @observable\n     * @api\n     */\n    View.prototype.setRotation = function (rotation) {\n        this.targetRotation_ = rotation;\n        this.applyTargetState_();\n    };\n    /**\n     * Zoom to a specific zoom level. Any resolution constrain will apply.\n     * @param {number} zoom Zoom level.\n     * @api\n     */\n    View.prototype.setZoom = function (zoom) {\n        this.setResolution(this.getResolutionForZoom(zoom));\n    };\n    /**\n     * Recompute rotation/resolution/center based on target values.\n     * Note: we have to compute rotation first, then resolution and center considering that\n     * parameters can influence one another in case a view extent constraint is present.\n     * @param {boolean} [opt_doNotCancelAnims] Do not cancel animations.\n     * @param {boolean} [opt_forceMoving] Apply constraints as if the view is moving.\n     * @private\n     */\n    View.prototype.applyTargetState_ = function (opt_doNotCancelAnims, opt_forceMoving) {\n        var isMoving = this.getAnimating() || this.getInteracting() || opt_forceMoving;\n        // compute rotation\n        var newRotation = this.constraints_.rotation(this.targetRotation_, isMoving);\n        var size = this.getViewportSize_(newRotation);\n        var newResolution = this.constraints_.resolution(this.targetResolution_, 0, size, isMoving);\n        var newCenter = this.constraints_.center(this.targetCenter_, newResolution, size, isMoving, this.calculateCenterShift(this.targetCenter_, newResolution, newRotation, size));\n        if (this.get(ViewProperty.ROTATION) !== newRotation) {\n            this.set(ViewProperty.ROTATION, newRotation);\n        }\n        if (this.get(ViewProperty.RESOLUTION) !== newResolution) {\n            this.set(ViewProperty.RESOLUTION, newResolution);\n            this.set('zoom', this.getZoom(), true);\n        }\n        if (!newCenter ||\n            !this.get(ViewProperty.CENTER) ||\n            !equals(this.get(ViewProperty.CENTER), newCenter)) {\n            this.set(ViewProperty.CENTER, newCenter);\n        }\n        if (this.getAnimating() && !opt_doNotCancelAnims) {\n            this.cancelAnimations();\n        }\n        this.cancelAnchor_ = undefined;\n    };\n    /**\n     * If any constraints need to be applied, an animation will be triggered.\n     * This is typically done on interaction end.\n     * Note: calling this with a duration of 0 will apply the constrained values straight away,\n     * without animation.\n     * @param {number} [opt_duration] The animation duration in ms.\n     * @param {number} [opt_resolutionDirection] Which direction to zoom.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     */\n    View.prototype.resolveConstraints = function (opt_duration, opt_resolutionDirection, opt_anchor) {\n        var duration = opt_duration !== undefined ? opt_duration : 200;\n        var direction = opt_resolutionDirection || 0;\n        var newRotation = this.constraints_.rotation(this.targetRotation_);\n        var size = this.getViewportSize_(newRotation);\n        var newResolution = this.constraints_.resolution(this.targetResolution_, direction, size);\n        var newCenter = this.constraints_.center(this.targetCenter_, newResolution, size, false, this.calculateCenterShift(this.targetCenter_, newResolution, newRotation, size));\n        if (duration === 0 && !this.cancelAnchor_) {\n            this.targetResolution_ = newResolution;\n            this.targetRotation_ = newRotation;\n            this.targetCenter_ = newCenter;\n            this.applyTargetState_();\n            return;\n        }\n        var anchor = opt_anchor || (duration === 0 ? this.cancelAnchor_ : undefined);\n        this.cancelAnchor_ = undefined;\n        if (this.getResolution() !== newResolution ||\n            this.getRotation() !== newRotation ||\n            !this.getCenterInternal() ||\n            !equals(this.getCenterInternal(), newCenter)) {\n            if (this.getAnimating()) {\n                this.cancelAnimations();\n            }\n            this.animateInternal({\n                rotation: newRotation,\n                center: newCenter,\n                resolution: newResolution,\n                duration: duration,\n                easing: easeOut,\n                anchor: anchor,\n            });\n        }\n    };\n    /**\n     * Notify the View that an interaction has started.\n     * The view state will be resolved to a stable one if needed\n     * (depending on its constraints).\n     * @api\n     */\n    View.prototype.beginInteraction = function () {\n        this.resolveConstraints(0);\n        this.setHint(ViewHint.INTERACTING, 1);\n    };\n    /**\n     * Notify the View that an interaction has ended. The view state will be resolved\n     * to a stable one if needed (depending on its constraints).\n     * @param {number} [opt_duration] Animation duration in ms.\n     * @param {number} [opt_resolutionDirection] Which direction to zoom.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     * @api\n     */\n    View.prototype.endInteraction = function (opt_duration, opt_resolutionDirection, opt_anchor) {\n        var anchor = opt_anchor && fromUserCoordinate(opt_anchor, this.getProjection());\n        this.endInteractionInternal(opt_duration, opt_resolutionDirection, anchor);\n    };\n    /**\n     * Notify the View that an interaction has ended. The view state will be resolved\n     * to a stable one if needed (depending on its constraints).\n     * @param {number} [opt_duration] Animation duration in ms.\n     * @param {number} [opt_resolutionDirection] Which direction to zoom.\n     * @param {import(\"./coordinate.js\").Coordinate} [opt_anchor] The origin of the transformation.\n     */\n    View.prototype.endInteractionInternal = function (opt_duration, opt_resolutionDirection, opt_anchor) {\n        this.setHint(ViewHint.INTERACTING, -1);\n        this.resolveConstraints(opt_duration, opt_resolutionDirection, opt_anchor);\n    };\n    /**\n     * Get a valid position for the view center according to the current constraints.\n     * @param {import(\"./coordinate.js\").Coordinate|undefined} targetCenter Target center position.\n     * @param {number} [opt_targetResolution] Target resolution. If not supplied, the current one will be used.\n     * This is useful to guess a valid center position at a different zoom level.\n     * @return {import(\"./coordinate.js\").Coordinate|undefined} Valid center position.\n     */\n    View.prototype.getConstrainedCenter = function (targetCenter, opt_targetResolution) {\n        var size = this.getViewportSize_(this.getRotation());\n        return this.constraints_.center(targetCenter, opt_targetResolution || this.getResolution(), size);\n    };\n    /**\n     * Get a valid zoom level according to the current view constraints.\n     * @param {number|undefined} targetZoom Target zoom.\n     * @param {number} [opt_direction=0] Indicate which resolution should be used\n     * by a renderer if the view resolution does not match any resolution of the tile source.\n     * If 0, the nearest resolution will be used. If 1, the nearest lower resolution\n     * will be used. If -1, the nearest higher resolution will be used.\n     * @return {number|undefined} Valid zoom level.\n     */\n    View.prototype.getConstrainedZoom = function (targetZoom, opt_direction) {\n        var targetRes = this.getResolutionForZoom(targetZoom);\n        return this.getZoomForResolution(this.getConstrainedResolution(targetRes, opt_direction));\n    };\n    /**\n     * Get a valid resolution according to the current view constraints.\n     * @param {number|undefined} targetResolution Target resolution.\n     * @param {number} [opt_direction=0] Indicate which resolution should be used\n     * by a renderer if the view resolution does not match any resolution of the tile source.\n     * If 0, the nearest resolution will be used. If 1, the nearest lower resolution\n     * will be used. If -1, the nearest higher resolution will be used.\n     * @return {number|undefined} Valid resolution.\n     */\n    View.prototype.getConstrainedResolution = function (targetResolution, opt_direction) {\n        var direction = opt_direction || 0;\n        var size = this.getViewportSize_(this.getRotation());\n        return this.constraints_.resolution(targetResolution, direction, size);\n    };\n    return View;\n}(BaseObject));\n/**\n * @param {Function} callback Callback.\n * @param {*} returnValue Return value.\n */\nfunction animationCallback(callback, returnValue) {\n    setTimeout(function () {\n        callback(returnValue);\n    }, 0);\n}\n/**\n * @param {ViewOptions} options View options.\n * @return {import(\"./centerconstraint.js\").Type} The constraint.\n */\nexport function createCenterConstraint(options) {\n    if (options.extent !== undefined) {\n        var smooth = options.smoothExtentConstraint !== undefined\n            ? options.smoothExtentConstraint\n            : true;\n        return createExtent(options.extent, options.constrainOnlyCenter, smooth);\n    }\n    var projection = createProjection(options.projection, 'EPSG:3857');\n    if (options.multiWorld !== true && projection.isGlobal()) {\n        var extent = projection.getExtent().slice();\n        extent[0] = -Infinity;\n        extent[2] = Infinity;\n        return createExtent(extent, false, false);\n    }\n    return centerNone;\n}\n/**\n * @param {ViewOptions} options View options.\n * @return {{constraint: import(\"./resolutionconstraint.js\").Type, maxResolution: number,\n *     minResolution: number, minZoom: number, zoomFactor: number}} The constraint.\n */\nexport function createResolutionConstraint(options) {\n    var resolutionConstraint;\n    var maxResolution;\n    var minResolution;\n    // TODO: move these to be ol constants\n    // see https://github.com/openlayers/openlayers/issues/2076\n    var defaultMaxZoom = 28;\n    var defaultZoomFactor = 2;\n    var minZoom = options.minZoom !== undefined ? options.minZoom : DEFAULT_MIN_ZOOM;\n    var maxZoom = options.maxZoom !== undefined ? options.maxZoom : defaultMaxZoom;\n    var zoomFactor = options.zoomFactor !== undefined ? options.zoomFactor : defaultZoomFactor;\n    var multiWorld = options.multiWorld !== undefined ? options.multiWorld : false;\n    var smooth = options.smoothResolutionConstraint !== undefined\n        ? options.smoothResolutionConstraint\n        : true;\n    var showFullExtent = options.showFullExtent !== undefined ? options.showFullExtent : false;\n    var projection = createProjection(options.projection, 'EPSG:3857');\n    var projExtent = projection.getExtent();\n    var constrainOnlyCenter = options.constrainOnlyCenter;\n    var extent = options.extent;\n    if (!multiWorld && !extent && projection.isGlobal()) {\n        constrainOnlyCenter = false;\n        extent = projExtent;\n    }\n    if (options.resolutions !== undefined) {\n        var resolutions = options.resolutions;\n        maxResolution = resolutions[minZoom];\n        minResolution =\n            resolutions[maxZoom] !== undefined\n                ? resolutions[maxZoom]\n                : resolutions[resolutions.length - 1];\n        if (options.constrainResolution) {\n            resolutionConstraint = createSnapToResolutions(resolutions, smooth, !constrainOnlyCenter && extent, showFullExtent);\n        }\n        else {\n            resolutionConstraint = createMinMaxResolution(maxResolution, minResolution, smooth, !constrainOnlyCenter && extent, showFullExtent);\n        }\n    }\n    else {\n        // calculate the default min and max resolution\n        var size = !projExtent\n            ? // use an extent that can fit the whole world if need be\n                (360 * METERS_PER_UNIT[Units.DEGREES]) / projection.getMetersPerUnit()\n            : Math.max(getWidth(projExtent), getHeight(projExtent));\n        var defaultMaxResolution = size / DEFAULT_TILE_SIZE / Math.pow(defaultZoomFactor, DEFAULT_MIN_ZOOM);\n        var defaultMinResolution = defaultMaxResolution /\n            Math.pow(defaultZoomFactor, defaultMaxZoom - DEFAULT_MIN_ZOOM);\n        // user provided maxResolution takes precedence\n        maxResolution = options.maxResolution;\n        if (maxResolution !== undefined) {\n            minZoom = 0;\n        }\n        else {\n            maxResolution = defaultMaxResolution / Math.pow(zoomFactor, minZoom);\n        }\n        // user provided minResolution takes precedence\n        minResolution = options.minResolution;\n        if (minResolution === undefined) {\n            if (options.maxZoom !== undefined) {\n                if (options.maxResolution !== undefined) {\n                    minResolution = maxResolution / Math.pow(zoomFactor, maxZoom);\n                }\n                else {\n                    minResolution = defaultMaxResolution / Math.pow(zoomFactor, maxZoom);\n                }\n            }\n            else {\n                minResolution = defaultMinResolution;\n            }\n        }\n        // given discrete zoom levels, minResolution may be different than provided\n        maxZoom =\n            minZoom +\n                Math.floor(Math.log(maxResolution / minResolution) / Math.log(zoomFactor));\n        minResolution = maxResolution / Math.pow(zoomFactor, maxZoom - minZoom);\n        if (options.constrainResolution) {\n            resolutionConstraint = createSnapToPower(zoomFactor, maxResolution, minResolution, smooth, !constrainOnlyCenter && extent, showFullExtent);\n        }\n        else {\n            resolutionConstraint = createMinMaxResolution(maxResolution, minResolution, smooth, !constrainOnlyCenter && extent, showFullExtent);\n        }\n    }\n    return {\n        constraint: resolutionConstraint,\n        maxResolution: maxResolution,\n        minResolution: minResolution,\n        minZoom: minZoom,\n        zoomFactor: zoomFactor,\n    };\n}\n/**\n * @param {ViewOptions} options View options.\n * @return {import(\"./rotationconstraint.js\").Type} Rotation constraint.\n */\nexport function createRotationConstraint(options) {\n    var enableRotation = options.enableRotation !== undefined ? options.enableRotation : true;\n    if (enableRotation) {\n        var constrainRotation = options.constrainRotation;\n        if (constrainRotation === undefined || constrainRotation === true) {\n            return createSnapToZero();\n        }\n        else if (constrainRotation === false) {\n            return rotationNone;\n        }\n        else if (typeof constrainRotation === 'number') {\n            return createSnapToN(constrainRotation);\n        }\n        else {\n            return rotationNone;\n        }\n    }\n    else {\n        return disable;\n    }\n}\n/**\n * Determine if an animation involves no view change.\n * @param {Animation} animation The animation.\n * @return {boolean} The animation involves no view change.\n */\nexport function isNoopAnimation(animation) {\n    if (animation.sourceCenter && animation.targetCenter) {\n        if (!coordinatesEqual(animation.sourceCenter, animation.targetCenter)) {\n            return false;\n        }\n    }\n    if (animation.sourceResolution !== animation.targetResolution) {\n        return false;\n    }\n    if (animation.sourceRotation !== animation.targetRotation) {\n        return false;\n    }\n    return true;\n}\n/**\n * @param {import(\"./coordinate.js\").Coordinate} coordinate Coordinate.\n * @param {import(\"./size.js\").Size} size Box pixel size.\n * @param {import(\"./pixel.js\").Pixel} position Position on the view to center on.\n * @param {number} resolution Resolution.\n * @param {number} rotation Rotation.\n * @return {import(\"./coordinate.js\").Coordinate} Shifted center.\n */\nfunction calculateCenterOn(coordinate, size, position, resolution, rotation) {\n    // calculate rotated position\n    var cosAngle = Math.cos(-rotation);\n    var sinAngle = Math.sin(-rotation);\n    var rotX = coordinate[0] * cosAngle - coordinate[1] * sinAngle;\n    var rotY = coordinate[1] * cosAngle + coordinate[0] * sinAngle;\n    rotX += (size[0] / 2 - position[0]) * resolution;\n    rotY += (position[1] - size[1] / 2) * resolution;\n    // go back to original angle\n    sinAngle = -sinAngle; // go back to original rotation\n    var centerX = rotX * cosAngle - rotY * sinAngle;\n    var centerY = rotY * cosAngle + rotX * sinAngle;\n    return [centerX, centerY];\n}\nexport default View;\n//# sourceMappingURL=View.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/PluggableMap\n */\nimport BaseObject from './Object.js';\nimport Collection from './Collection.js';\nimport CollectionEventType from './CollectionEventType.js';\nimport EventType from './events/EventType.js';\nimport Layer from './layer/Layer.js';\nimport LayerGroup, { GroupEvent } from './layer/Group.js';\nimport MapBrowserEvent from './MapBrowserEvent.js';\nimport MapBrowserEventHandler from './MapBrowserEventHandler.js';\nimport MapBrowserEventType from './MapBrowserEventType.js';\nimport MapEvent from './MapEvent.js';\nimport MapEventType from './MapEventType.js';\nimport MapProperty from './MapProperty.js';\nimport ObjectEventType from './ObjectEventType.js';\nimport PointerEventType from './pointer/EventType.js';\nimport RenderEventType from './render/EventType.js';\nimport TileQueue, { getTilePriority } from './TileQueue.js';\nimport View from './View.js';\nimport ViewHint from './ViewHint.js';\nimport { DEVICE_PIXEL_RATIO, PASSIVE_EVENT_LISTENERS } from './has.js';\nimport { TRUE } from './functions.js';\nimport { apply as applyTransform, create as createTransform, } from './transform.js';\nimport { assert } from './asserts.js';\nimport { clone, createOrUpdateEmpty, equals, getForViewAndSize, isEmpty, } from './extent.js';\nimport { fromUserCoordinate, toUserCoordinate } from './proj.js';\nimport { getUid } from './util.js';\nimport { hasArea } from './size.js';\nimport { listen, unlistenByKey } from './events.js';\nimport { removeNode } from './dom.js';\n/**\n * State of the current frame. Only `pixelRatio`, `time` and `viewState` should\n * be used in applications.\n * @typedef {Object} FrameState\n * @property {number} pixelRatio The pixel ratio of the frame.\n * @property {number} time The time when rendering of the frame was requested.\n * @property {import(\"./View.js\").State} viewState The state of the current view.\n * @property {boolean} animate Animate.\n * @property {import(\"./transform.js\").Transform} coordinateToPixelTransform CoordinateToPixelTransform.\n * @property {import(\"rbush\").default} declutterTree DeclutterTree.\n * @property {null|import(\"./extent.js\").Extent} extent Extent.\n * @property {import(\"./extent.js\").Extent} [nextExtent] Next extent during an animation series.\n * @property {number} index Index.\n * @property {Array<import(\"./layer/Layer.js\").State>} layerStatesArray LayerStatesArray.\n * @property {number} layerIndex LayerIndex.\n * @property {import(\"./transform.js\").Transform} pixelToCoordinateTransform PixelToCoordinateTransform.\n * @property {Array<PostRenderFunction>} postRenderFunctions PostRenderFunctions.\n * @property {import(\"./size.js\").Size} size Size.\n * @property {TileQueue} tileQueue TileQueue.\n * @property {!Object<string, Object<string, boolean>>} usedTiles UsedTiles.\n * @property {Array<number>} viewHints ViewHints.\n * @property {!Object<string, Object<string, boolean>>} wantedTiles WantedTiles.\n * @property {string} mapId The id of the map.\n * @property {Object<string, boolean>} renderTargets Identifiers of previously rendered elements.\n */\n/**\n * @typedef {function(PluggableMap, ?FrameState): any} PostRenderFunction\n */\n/**\n * @typedef {Object} AtPixelOptions\n * @property {undefined|function(import(\"./layer/Layer.js\").default<import(\"./source/Source\").default>): boolean} [layerFilter] Layer filter\n * function. The filter function will receive one argument, the\n * {@link module:ol/layer/Layer layer-candidate} and it should return a boolean value.\n * Only layers which are visible and for which this function returns `true`\n * will be tested for features. By default, all visible layers will be tested.\n * @property {number} [hitTolerance=0] Hit-detection tolerance in css pixels. Pixels\n * inside the radius around the given position will be checked for features.\n * @property {boolean} [checkWrapped=true] Check-Wrapped Will check for for wrapped geometries inside the range of\n *   +/- 1 world width. Works only if a projection is used that can be wrapped.\n */\n/**\n * @typedef {Object} MapOptionsInternal\n * @property {Collection<import(\"./control/Control.js\").default>} [controls] Controls.\n * @property {Collection<import(\"./interaction/Interaction.js\").default>} [interactions] Interactions.\n * @property {HTMLElement|Document} keyboardEventTarget KeyboardEventTarget.\n * @property {Collection<import(\"./Overlay.js\").default>} overlays Overlays.\n * @property {Object<string, *>} values Values.\n */\n/**\n * @typedef {import(\"./ObjectEventType\").Types|'change:layergroup'|'change:size'|'change:target'|'change:view'} MapObjectEventTypes\n */\n/***\n * @template Return\n * @typedef {import(\"./Observable\").OnSignature<import(\"./Observable\").EventTypes, import(\"./events/Event.js\").default, Return> &\n *    import(\"./Observable\").OnSignature<MapObjectEventTypes, import(\"./Object\").ObjectEvent, Return> &\n *    import(\"./Observable\").OnSignature<import(\"./MapBrowserEventType\").Types, import(\"./MapBrowserEvent\").default, Return> &\n *    import(\"./Observable\").OnSignature<import(\"./MapEventType\").Types, import(\"./MapEvent\").default, Return> &\n *    import(\"./Observable\").OnSignature<import(\"./render/EventType\").MapRenderEventTypes, import(\"./render/Event\").default, Return> &\n *    import(\"./Observable\").CombinedOnSignature<import(\"./Observable\").EventTypes|MapObjectEventTypes|\n *      import(\"./MapBrowserEventType\").Types|import(\"./MapEventType\").Types|\n *      import(\"./render/EventType\").MapRenderEventTypes, Return>} PluggableMapOnSignature\n */\n/**\n * Object literal with config options for the map.\n * @typedef {Object} MapOptions\n * @property {Collection<import(\"./control/Control.js\").default>|Array<import(\"./control/Control.js\").default>} [controls]\n * Controls initially added to the map. If not specified,\n * {@link module:ol/control.defaults} is used.\n * @property {number} [pixelRatio=window.devicePixelRatio] The ratio between\n * physical pixels and device-independent pixels (dips) on the device.\n * @property {Collection<import(\"./interaction/Interaction.js\").default>|Array<import(\"./interaction/Interaction.js\").default>} [interactions]\n * Interactions that are initially added to the map. If not specified,\n * {@link module:ol/interaction.defaults} is used.\n * @property {HTMLElement|Document|string} [keyboardEventTarget] The element to\n * listen to keyboard events on. This determines when the `KeyboardPan` and\n * `KeyboardZoom` interactions trigger. For example, if this option is set to\n * `document` the keyboard interactions will always trigger. If this option is\n * not specified, the element the library listens to keyboard events on is the\n * map target (i.e. the user-provided div for the map). If this is not\n * `document`, the target element needs to be focused for key events to be\n * emitted, requiring that the target element has a `tabindex` attribute.\n * @property {Array<import(\"./layer/Base.js\").default>|Collection<import(\"./layer/Base.js\").default>|LayerGroup} [layers]\n * Layers. If this is not defined, a map with no layers will be rendered. Note\n * that layers are rendered in the order supplied, so if you want, for example,\n * a vector layer to appear on top of a tile layer, it must come after the tile\n * layer.\n * @property {number} [maxTilesLoading=16] Maximum number tiles to load\n * simultaneously.\n * @property {number} [moveTolerance=1] The minimum distance in pixels the\n * cursor must move to be detected as a map move event instead of a click.\n * Increasing this value can make it easier to click on the map.\n * @property {Collection<import(\"./Overlay.js\").default>|Array<import(\"./Overlay.js\").default>} [overlays]\n * Overlays initially added to the map. By default, no overlays are added.\n * @property {HTMLElement|string} [target] The container for the map, either the\n * element itself or the `id` of the element. If not specified at construction\n * time, {@link module:ol/Map~Map#setTarget} must be called for the map to be\n * rendered. If passed by element, the container can be in a secondary document.\n * @property {View|Promise<import(\"./View.js\").ViewOptions>} [view] The map's view.  No layer sources will be\n * fetched unless this is specified at construction time or through\n * {@link module:ol/Map~Map#setView}.\n */\n/**\n * @param {import(\"./layer/Base.js\").default} layer Layer.\n */\nfunction removeLayerMapProperty(layer) {\n    if (layer instanceof Layer) {\n        layer.setMapInternal(null);\n        return;\n    }\n    if (layer instanceof LayerGroup) {\n        layer.getLayers().forEach(removeLayerMapProperty);\n    }\n}\n/**\n * @param {import(\"./layer/Base.js\").default} layer Layer.\n * @param {PluggableMap} map Map.\n */\nfunction setLayerMapProperty(layer, map) {\n    if (layer instanceof Layer) {\n        layer.setMapInternal(map);\n        return;\n    }\n    if (layer instanceof LayerGroup) {\n        var layers = layer.getLayers().getArray();\n        for (var i = 0, ii = layers.length; i < ii; ++i) {\n            setLayerMapProperty(layers[i], map);\n        }\n    }\n}\n/**\n * @fires import(\"./MapBrowserEvent.js\").MapBrowserEvent\n * @fires import(\"./MapEvent.js\").MapEvent\n * @fires import(\"./render/Event.js\").default#precompose\n * @fires import(\"./render/Event.js\").default#postcompose\n * @fires import(\"./render/Event.js\").default#rendercomplete\n * @api\n */\nvar PluggableMap = /** @class */ (function (_super) {\n    __extends(PluggableMap, _super);\n    /**\n     * @param {MapOptions} options Map options.\n     */\n    function PluggableMap(options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {PluggableMapOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {PluggableMapOnSignature<import(\"./events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {PluggableMapOnSignature<void>}\n         */\n        _this.un;\n        var optionsInternal = createOptionsInternal(options);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderComplete_;\n        /** @private */\n        _this.boundHandleBrowserEvent_ = _this.handleBrowserEvent.bind(_this);\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.maxTilesLoading_ =\n            options.maxTilesLoading !== undefined ? options.maxTilesLoading : 16;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.pixelRatio_ =\n            options.pixelRatio !== undefined\n                ? options.pixelRatio\n                : DEVICE_PIXEL_RATIO;\n        /**\n         * @private\n         * @type {*}\n         */\n        _this.postRenderTimeoutHandle_;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.animationDelayKey_;\n        /**\n         * @private\n         */\n        _this.animationDelay_ = /** @this {PluggableMap} */ function () {\n            this.animationDelayKey_ = undefined;\n            this.renderFrame_(Date.now());\n        }.bind(_this);\n        /**\n         * @private\n         * @type {import(\"./transform.js\").Transform}\n         */\n        _this.coordinateToPixelTransform_ = createTransform();\n        /**\n         * @private\n         * @type {import(\"./transform.js\").Transform}\n         */\n        _this.pixelToCoordinateTransform_ = createTransform();\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.frameIndex_ = 0;\n        /**\n         * @private\n         * @type {?FrameState}\n         */\n        _this.frameState_ = null;\n        /**\n         * The extent at the previous 'moveend' event.\n         * @private\n         * @type {import(\"./extent.js\").Extent}\n         */\n        _this.previousExtent_ = null;\n        /**\n         * @private\n         * @type {?import(\"./events.js\").EventsKey}\n         */\n        _this.viewPropertyListenerKey_ = null;\n        /**\n         * @private\n         * @type {?import(\"./events.js\").EventsKey}\n         */\n        _this.viewChangeListenerKey_ = null;\n        /**\n         * @private\n         * @type {?Array<import(\"./events.js\").EventsKey>}\n         */\n        _this.layerGroupPropertyListenerKeys_ = null;\n        /**\n         * @private\n         * @type {!HTMLElement}\n         */\n        _this.viewport_ = document.createElement('div');\n        _this.viewport_.className =\n            'ol-viewport' + ('ontouchstart' in window ? ' ol-touch' : '');\n        _this.viewport_.style.position = 'relative';\n        _this.viewport_.style.overflow = 'hidden';\n        _this.viewport_.style.width = '100%';\n        _this.viewport_.style.height = '100%';\n        /**\n         * @private\n         * @type {!HTMLElement}\n         */\n        _this.overlayContainer_ = document.createElement('div');\n        _this.overlayContainer_.style.position = 'absolute';\n        _this.overlayContainer_.style.zIndex = '0';\n        _this.overlayContainer_.style.width = '100%';\n        _this.overlayContainer_.style.height = '100%';\n        _this.overlayContainer_.style.pointerEvents = 'none';\n        _this.overlayContainer_.className = 'ol-overlaycontainer';\n        _this.viewport_.appendChild(_this.overlayContainer_);\n        /**\n         * @private\n         * @type {!HTMLElement}\n         */\n        _this.overlayContainerStopEvent_ = document.createElement('div');\n        _this.overlayContainerStopEvent_.style.position = 'absolute';\n        _this.overlayContainerStopEvent_.style.zIndex = '0';\n        _this.overlayContainerStopEvent_.style.width = '100%';\n        _this.overlayContainerStopEvent_.style.height = '100%';\n        _this.overlayContainerStopEvent_.style.pointerEvents = 'none';\n        _this.overlayContainerStopEvent_.className = 'ol-overlaycontainer-stopevent';\n        _this.viewport_.appendChild(_this.overlayContainerStopEvent_);\n        /**\n         * @private\n         * @type {MapBrowserEventHandler}\n         */\n        _this.mapBrowserEventHandler_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.moveTolerance_ = options.moveTolerance;\n        /**\n         * @private\n         * @type {HTMLElement|Document}\n         */\n        _this.keyboardEventTarget_ = optionsInternal.keyboardEventTarget;\n        /**\n         * @private\n         * @type {?Array<import(\"./events.js\").EventsKey>}\n         */\n        _this.targetChangeHandlerKeys_ = null;\n        /**\n         * @type {Collection<import(\"./control/Control.js\").default>}\n         * @protected\n         */\n        _this.controls = optionsInternal.controls || new Collection();\n        /**\n         * @type {Collection<import(\"./interaction/Interaction.js\").default>}\n         * @protected\n         */\n        _this.interactions = optionsInternal.interactions || new Collection();\n        /**\n         * @type {Collection<import(\"./Overlay.js\").default>}\n         * @private\n         */\n        _this.overlays_ = optionsInternal.overlays;\n        /**\n         * A lookup of overlays by id.\n         * @private\n         * @type {Object<string, import(\"./Overlay.js\").default>}\n         */\n        _this.overlayIdIndex_ = {};\n        /**\n         * @type {import(\"./renderer/Map.js\").default}\n         * @private\n         */\n        _this.renderer_ = null;\n        /**\n         * @private\n         * @type {!Array<PostRenderFunction>}\n         */\n        _this.postRenderFunctions_ = [];\n        /**\n         * @private\n         * @type {TileQueue}\n         */\n        _this.tileQueue_ = new TileQueue(_this.getTilePriority.bind(_this), _this.handleTileChange_.bind(_this));\n        _this.addChangeListener(MapProperty.LAYERGROUP, _this.handleLayerGroupChanged_);\n        _this.addChangeListener(MapProperty.VIEW, _this.handleViewChanged_);\n        _this.addChangeListener(MapProperty.SIZE, _this.handleSizeChanged_);\n        _this.addChangeListener(MapProperty.TARGET, _this.handleTargetChanged_);\n        // setProperties will trigger the rendering of the map if the map\n        // is \"defined\" already.\n        _this.setProperties(optionsInternal.values);\n        var map = _this;\n        if (options.view && !(options.view instanceof View)) {\n            options.view.then(function (viewOptions) {\n                map.setView(new View(viewOptions));\n            });\n        }\n        _this.controls.addEventListener(CollectionEventType.ADD, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            event.element.setMap(this);\n        }.bind(_this));\n        _this.controls.addEventListener(CollectionEventType.REMOVE, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            event.element.setMap(null);\n        }.bind(_this));\n        _this.interactions.addEventListener(CollectionEventType.ADD, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            event.element.setMap(this);\n        }.bind(_this));\n        _this.interactions.addEventListener(CollectionEventType.REMOVE, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            event.element.setMap(null);\n        }.bind(_this));\n        _this.overlays_.addEventListener(CollectionEventType.ADD, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            this.addOverlayInternal_(\n            /** @type {import(\"./Overlay.js\").default} */ (event.element));\n        }.bind(_this));\n        _this.overlays_.addEventListener(CollectionEventType.REMOVE, \n        /**\n         * @param {import(\"./Collection.js\").CollectionEvent} event CollectionEvent.\n         */\n        function (event) {\n            var overlay = /** @type {import(\"./Overlay.js\").default} */ (event.element);\n            var id = overlay.getId();\n            if (id !== undefined) {\n                delete this.overlayIdIndex_[id.toString()];\n            }\n            event.element.setMap(null);\n        }.bind(_this));\n        _this.controls.forEach(\n        /**\n         * @param {import(\"./control/Control.js\").default} control Control.\n         * @this {PluggableMap}\n         */\n        function (control) {\n            control.setMap(this);\n        }.bind(_this));\n        _this.interactions.forEach(\n        /**\n         * @param {import(\"./interaction/Interaction.js\").default} interaction Interaction.\n         * @this {PluggableMap}\n         */\n        function (interaction) {\n            interaction.setMap(this);\n        }.bind(_this));\n        _this.overlays_.forEach(_this.addOverlayInternal_.bind(_this));\n        return _this;\n    }\n    /**\n     * @abstract\n     * @return {import(\"./renderer/Map.js\").default} The map renderer\n     */\n    PluggableMap.prototype.createRenderer = function () {\n        throw new Error('Use a map type that has a createRenderer method');\n    };\n    /**\n     * Add the given control to the map.\n     * @param {import(\"./control/Control.js\").default} control Control.\n     * @api\n     */\n    PluggableMap.prototype.addControl = function (control) {\n        this.getControls().push(control);\n    };\n    /**\n     * Add the given interaction to the map. If you want to add an interaction\n     * at another point of the collection use `getInteraction()` and the methods\n     * available on {@link module:ol/Collection~Collection}. This can be used to\n     * stop the event propagation from the handleEvent function. The interactions\n     * get to handle the events in the reverse order of this collection.\n     * @param {import(\"./interaction/Interaction.js\").default} interaction Interaction to add.\n     * @api\n     */\n    PluggableMap.prototype.addInteraction = function (interaction) {\n        this.getInteractions().push(interaction);\n    };\n    /**\n     * Adds the given layer to the top of this map. If you want to add a layer\n     * elsewhere in the stack, use `getLayers()` and the methods available on\n     * {@link module:ol/Collection~Collection}.\n     * @param {import(\"./layer/Base.js\").default} layer Layer.\n     * @api\n     */\n    PluggableMap.prototype.addLayer = function (layer) {\n        var layers = this.getLayerGroup().getLayers();\n        layers.push(layer);\n    };\n    /**\n     * @param {import(\"./layer/Group.js\").GroupEvent} event The layer add event.\n     * @private\n     */\n    PluggableMap.prototype.handleLayerAdd_ = function (event) {\n        setLayerMapProperty(event.layer, this);\n    };\n    /**\n     * Add the given overlay to the map.\n     * @param {import(\"./Overlay.js\").default} overlay Overlay.\n     * @api\n     */\n    PluggableMap.prototype.addOverlay = function (overlay) {\n        this.getOverlays().push(overlay);\n    };\n    /**\n     * This deals with map's overlay collection changes.\n     * @param {import(\"./Overlay.js\").default} overlay Overlay.\n     * @private\n     */\n    PluggableMap.prototype.addOverlayInternal_ = function (overlay) {\n        var id = overlay.getId();\n        if (id !== undefined) {\n            this.overlayIdIndex_[id.toString()] = overlay;\n        }\n        overlay.setMap(this);\n    };\n    /**\n     *\n     * Clean up.\n     */\n    PluggableMap.prototype.disposeInternal = function () {\n        this.setTarget(null);\n        _super.prototype.disposeInternal.call(this);\n    };\n    /**\n     * Detect features that intersect a pixel on the viewport, and execute a\n     * callback with each intersecting feature. Layers included in the detection can\n     * be configured through the `layerFilter` option in `opt_options`.\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel.\n     * @param {function(import(\"./Feature.js\").FeatureLike, import(\"./layer/Layer.js\").default<import(\"./source/Source\").default>, import(\"./geom/SimpleGeometry.js\").default): T} callback Feature callback. The callback will be\n     *     called with two arguments. The first argument is one\n     *     {@link module:ol/Feature feature} or\n     *     {@link module:ol/render/Feature render feature} at the pixel, the second is\n     *     the {@link module:ol/layer/Layer layer} of the feature and will be null for\n     *     unmanaged layers. To stop detection, callback functions can return a\n     *     truthy value.\n     * @param {AtPixelOptions} [opt_options] Optional options.\n     * @return {T|undefined} Callback result, i.e. the return value of last\n     * callback execution, or the first truthy callback return value.\n     * @template T\n     * @api\n     */\n    PluggableMap.prototype.forEachFeatureAtPixel = function (pixel, callback, opt_options) {\n        if (!this.frameState_) {\n            return;\n        }\n        var coordinate = this.getCoordinateFromPixelInternal(pixel);\n        opt_options = opt_options !== undefined ? opt_options : {};\n        var hitTolerance = opt_options.hitTolerance !== undefined ? opt_options.hitTolerance : 0;\n        var layerFilter = opt_options.layerFilter !== undefined ? opt_options.layerFilter : TRUE;\n        var checkWrapped = opt_options.checkWrapped !== false;\n        return this.renderer_.forEachFeatureAtCoordinate(coordinate, this.frameState_, hitTolerance, checkWrapped, callback, null, layerFilter, null);\n    };\n    /**\n     * Get all features that intersect a pixel on the viewport.\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel.\n     * @param {AtPixelOptions} [opt_options] Optional options.\n     * @return {Array<import(\"./Feature.js\").FeatureLike>} The detected features or\n     * an empty array if none were found.\n     * @api\n     */\n    PluggableMap.prototype.getFeaturesAtPixel = function (pixel, opt_options) {\n        var features = [];\n        this.forEachFeatureAtPixel(pixel, function (feature) {\n            features.push(feature);\n        }, opt_options);\n        return features;\n    };\n    /**\n     * Get all layers from all layer groups.\n     * @return {Array<import(\"./layer/Layer.js\").default>} Layers.\n     */\n    PluggableMap.prototype.getAllLayers = function () {\n        var layers = [];\n        function addLayersFrom(layerGroup) {\n            layerGroup.forEach(function (layer) {\n                if (layer instanceof LayerGroup) {\n                    addLayersFrom(layer.getLayers());\n                }\n                else {\n                    layers.push(layer);\n                }\n            });\n        }\n        addLayersFrom(this.getLayers());\n        return layers;\n    };\n    /**\n     * Detect layers that have a color value at a pixel on the viewport, and\n     * execute a callback with each matching layer. Layers included in the\n     * detection can be configured through `opt_layerFilter`.\n     *\n     * Note: this may give false positives unless the map layers have had different `className`\n     * properties assigned to them.\n     *\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel.\n     * @param {function(this: S, import(\"./layer/Layer.js\").default, (Uint8ClampedArray|Uint8Array)): T} callback\n     *     Layer callback. This callback will receive two arguments: first is the\n     *     {@link module:ol/layer/Layer layer}, second argument is an array representing\n     *     [R, G, B, A] pixel values (0 - 255) and will be `null` for layer types\n     *     that do not currently support this argument. To stop detection, callback\n     *     functions can return a truthy value.\n     * @param {AtPixelOptions} [opt_options] Configuration options.\n     * @return {T|undefined} Callback result, i.e. the return value of last\n     * callback execution, or the first truthy callback return value.\n     * @template S,T\n     * @api\n     */\n    PluggableMap.prototype.forEachLayerAtPixel = function (pixel, callback, opt_options) {\n        if (!this.frameState_) {\n            return;\n        }\n        var options = opt_options || {};\n        var hitTolerance = options.hitTolerance !== undefined ? options.hitTolerance : 0;\n        var layerFilter = options.layerFilter || TRUE;\n        return this.renderer_.forEachLayerAtPixel(pixel, this.frameState_, hitTolerance, callback, layerFilter);\n    };\n    /**\n     * Detect if features intersect a pixel on the viewport. Layers included in the\n     * detection can be configured through `opt_layerFilter`.\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel.\n     * @param {AtPixelOptions} [opt_options] Optional options.\n     * @return {boolean} Is there a feature at the given pixel?\n     * @api\n     */\n    PluggableMap.prototype.hasFeatureAtPixel = function (pixel, opt_options) {\n        if (!this.frameState_) {\n            return false;\n        }\n        var coordinate = this.getCoordinateFromPixelInternal(pixel);\n        opt_options = opt_options !== undefined ? opt_options : {};\n        var layerFilter = opt_options.layerFilter !== undefined ? opt_options.layerFilter : TRUE;\n        var hitTolerance = opt_options.hitTolerance !== undefined ? opt_options.hitTolerance : 0;\n        var checkWrapped = opt_options.checkWrapped !== false;\n        return this.renderer_.hasFeatureAtCoordinate(coordinate, this.frameState_, hitTolerance, checkWrapped, layerFilter, null);\n    };\n    /**\n     * Returns the coordinate in user projection for a browser event.\n     * @param {MouseEvent} event Event.\n     * @return {import(\"./coordinate.js\").Coordinate} Coordinate.\n     * @api\n     */\n    PluggableMap.prototype.getEventCoordinate = function (event) {\n        return this.getCoordinateFromPixel(this.getEventPixel(event));\n    };\n    /**\n     * Returns the coordinate in view projection for a browser event.\n     * @param {MouseEvent} event Event.\n     * @return {import(\"./coordinate.js\").Coordinate} Coordinate.\n     */\n    PluggableMap.prototype.getEventCoordinateInternal = function (event) {\n        return this.getCoordinateFromPixelInternal(this.getEventPixel(event));\n    };\n    /**\n     * Returns the map pixel position for a browser event relative to the viewport.\n     * @param {UIEvent} event Event.\n     * @return {import(\"./pixel.js\").Pixel} Pixel.\n     * @api\n     */\n    PluggableMap.prototype.getEventPixel = function (event) {\n        var viewportPosition = this.viewport_.getBoundingClientRect();\n        var eventPosition = \n        //FIXME Are we really calling this with a TouchEvent anywhere?\n        'changedTouches' in event\n            ? /** @type {TouchEvent} */ (event).changedTouches[0]\n            : /** @type {MouseEvent} */ (event);\n        return [\n            eventPosition.clientX - viewportPosition.left,\n            eventPosition.clientY - viewportPosition.top,\n        ];\n    };\n    /**\n     * Get the target in which this map is rendered.\n     * Note that this returns what is entered as an option or in setTarget:\n     * if that was an element, it returns an element; if a string, it returns that.\n     * @return {HTMLElement|string|undefined} The Element or id of the Element that the\n     *     map is rendered in.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.getTarget = function () {\n        return /** @type {HTMLElement|string|undefined} */ (this.get(MapProperty.TARGET));\n    };\n    /**\n     * Get the DOM element into which this map is rendered. In contrast to\n     * `getTarget` this method always return an `Element`, or `null` if the\n     * map has no target.\n     * @return {HTMLElement} The element that the map is rendered in.\n     * @api\n     */\n    PluggableMap.prototype.getTargetElement = function () {\n        var target = this.getTarget();\n        if (target !== undefined) {\n            return typeof target === 'string'\n                ? document.getElementById(target)\n                : target;\n        }\n        else {\n            return null;\n        }\n    };\n    /**\n     * Get the coordinate for a given pixel.  This returns a coordinate in the\n     * user projection.\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel position in the map viewport.\n     * @return {import(\"./coordinate.js\").Coordinate} The coordinate for the pixel position.\n     * @api\n     */\n    PluggableMap.prototype.getCoordinateFromPixel = function (pixel) {\n        return toUserCoordinate(this.getCoordinateFromPixelInternal(pixel), this.getView().getProjection());\n    };\n    /**\n     * Get the coordinate for a given pixel.  This returns a coordinate in the\n     * map view projection.\n     * @param {import(\"./pixel.js\").Pixel} pixel Pixel position in the map viewport.\n     * @return {import(\"./coordinate.js\").Coordinate} The coordinate for the pixel position.\n     */\n    PluggableMap.prototype.getCoordinateFromPixelInternal = function (pixel) {\n        var frameState = this.frameState_;\n        if (!frameState) {\n            return null;\n        }\n        else {\n            return applyTransform(frameState.pixelToCoordinateTransform, pixel.slice());\n        }\n    };\n    /**\n     * Get the map controls. Modifying this collection changes the controls\n     * associated with the map.\n     * @return {Collection<import(\"./control/Control.js\").default>} Controls.\n     * @api\n     */\n    PluggableMap.prototype.getControls = function () {\n        return this.controls;\n    };\n    /**\n     * Get the map overlays. Modifying this collection changes the overlays\n     * associated with the map.\n     * @return {Collection<import(\"./Overlay.js\").default>} Overlays.\n     * @api\n     */\n    PluggableMap.prototype.getOverlays = function () {\n        return this.overlays_;\n    };\n    /**\n     * Get an overlay by its identifier (the value returned by overlay.getId()).\n     * Note that the index treats string and numeric identifiers as the same. So\n     * `map.getOverlayById(2)` will return an overlay with id `'2'` or `2`.\n     * @param {string|number} id Overlay identifier.\n     * @return {import(\"./Overlay.js\").default} Overlay.\n     * @api\n     */\n    PluggableMap.prototype.getOverlayById = function (id) {\n        var overlay = this.overlayIdIndex_[id.toString()];\n        return overlay !== undefined ? overlay : null;\n    };\n    /**\n     * Get the map interactions. Modifying this collection changes the interactions\n     * associated with the map.\n     *\n     * Interactions are used for e.g. pan, zoom and rotate.\n     * @return {Collection<import(\"./interaction/Interaction.js\").default>} Interactions.\n     * @api\n     */\n    PluggableMap.prototype.getInteractions = function () {\n        return this.interactions;\n    };\n    /**\n     * Get the layergroup associated with this map.\n     * @return {LayerGroup} A layer group containing the layers in this map.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.getLayerGroup = function () {\n        return /** @type {LayerGroup} */ (this.get(MapProperty.LAYERGROUP));\n    };\n    /**\n     * Clear any existing layers and add layers to the map.\n     * @param {Array<import(\"./layer/Base.js\").default>|Collection<import(\"./layer/Base.js\").default>} layers The layers to be added to the map.\n     * @api\n     */\n    PluggableMap.prototype.setLayers = function (layers) {\n        var group = this.getLayerGroup();\n        if (layers instanceof Collection) {\n            group.setLayers(layers);\n            return;\n        }\n        var collection = group.getLayers();\n        collection.clear();\n        collection.extend(layers);\n    };\n    /**\n     * Get the collection of layers associated with this map.\n     * @return {!Collection<import(\"./layer/Base.js\").default>} Layers.\n     * @api\n     */\n    PluggableMap.prototype.getLayers = function () {\n        var layers = this.getLayerGroup().getLayers();\n        return layers;\n    };\n    /**\n     * @return {boolean} Layers have sources that are still loading.\n     */\n    PluggableMap.prototype.getLoading = function () {\n        var layerStatesArray = this.getLayerGroup().getLayerStatesArray();\n        for (var i = 0, ii = layerStatesArray.length; i < ii; ++i) {\n            var layer = layerStatesArray[i].layer;\n            var source = /** @type {import(\"./layer/Layer.js\").default} */ (layer).getSource();\n            if (source && source.loading) {\n                return true;\n            }\n        }\n        return false;\n    };\n    /**\n     * Get the pixel for a coordinate.  This takes a coordinate in the user\n     * projection and returns the corresponding pixel.\n     * @param {import(\"./coordinate.js\").Coordinate} coordinate A map coordinate.\n     * @return {import(\"./pixel.js\").Pixel} A pixel position in the map viewport.\n     * @api\n     */\n    PluggableMap.prototype.getPixelFromCoordinate = function (coordinate) {\n        var viewCoordinate = fromUserCoordinate(coordinate, this.getView().getProjection());\n        return this.getPixelFromCoordinateInternal(viewCoordinate);\n    };\n    /**\n     * Get the pixel for a coordinate.  This takes a coordinate in the map view\n     * projection and returns the corresponding pixel.\n     * @param {import(\"./coordinate.js\").Coordinate} coordinate A map coordinate.\n     * @return {import(\"./pixel.js\").Pixel} A pixel position in the map viewport.\n     */\n    PluggableMap.prototype.getPixelFromCoordinateInternal = function (coordinate) {\n        var frameState = this.frameState_;\n        if (!frameState) {\n            return null;\n        }\n        else {\n            return applyTransform(frameState.coordinateToPixelTransform, coordinate.slice(0, 2));\n        }\n    };\n    /**\n     * Get the map renderer.\n     * @return {import(\"./renderer/Map.js\").default} Renderer\n     */\n    PluggableMap.prototype.getRenderer = function () {\n        return this.renderer_;\n    };\n    /**\n     * Get the size of this map.\n     * @return {import(\"./size.js\").Size|undefined} The size in pixels of the map in the DOM.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.getSize = function () {\n        return /** @type {import(\"./size.js\").Size|undefined} */ (this.get(MapProperty.SIZE));\n    };\n    /**\n     * Get the view associated with this map. A view manages properties such as\n     * center and resolution.\n     * @return {View} The view that controls this map.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.getView = function () {\n        return /** @type {View} */ (this.get(MapProperty.VIEW));\n    };\n    /**\n     * Get the element that serves as the map viewport.\n     * @return {HTMLElement} Viewport.\n     * @api\n     */\n    PluggableMap.prototype.getViewport = function () {\n        return this.viewport_;\n    };\n    /**\n     * Get the element that serves as the container for overlays.  Elements added to\n     * this container will let mousedown and touchstart events through to the map,\n     * so clicks and gestures on an overlay will trigger {@link module:ol/MapBrowserEvent~MapBrowserEvent}\n     * events.\n     * @return {!HTMLElement} The map's overlay container.\n     */\n    PluggableMap.prototype.getOverlayContainer = function () {\n        return this.overlayContainer_;\n    };\n    /**\n     * Get the element that serves as a container for overlays that don't allow\n     * event propagation. Elements added to this container won't let mousedown and\n     * touchstart events through to the map, so clicks and gestures on an overlay\n     * don't trigger any {@link module:ol/MapBrowserEvent~MapBrowserEvent}.\n     * @return {!HTMLElement} The map's overlay container that stops events.\n     */\n    PluggableMap.prototype.getOverlayContainerStopEvent = function () {\n        return this.overlayContainerStopEvent_;\n    };\n    /**\n     * @return {!Document} The document where the map is displayed.\n     */\n    PluggableMap.prototype.getOwnerDocument = function () {\n        var targetElement = this.getTargetElement();\n        return targetElement ? targetElement.ownerDocument : document;\n    };\n    /**\n     * @param {import(\"./Tile.js\").default} tile Tile.\n     * @param {string} tileSourceKey Tile source key.\n     * @param {import(\"./coordinate.js\").Coordinate} tileCenter Tile center.\n     * @param {number} tileResolution Tile resolution.\n     * @return {number} Tile priority.\n     */\n    PluggableMap.prototype.getTilePriority = function (tile, tileSourceKey, tileCenter, tileResolution) {\n        return getTilePriority(this.frameState_, tile, tileSourceKey, tileCenter, tileResolution);\n    };\n    /**\n     * @param {UIEvent} browserEvent Browser event.\n     * @param {string} [opt_type] Type.\n     */\n    PluggableMap.prototype.handleBrowserEvent = function (browserEvent, opt_type) {\n        var type = opt_type || browserEvent.type;\n        var mapBrowserEvent = new MapBrowserEvent(type, this, browserEvent);\n        this.handleMapBrowserEvent(mapBrowserEvent);\n    };\n    /**\n     * @param {MapBrowserEvent} mapBrowserEvent The event to handle.\n     */\n    PluggableMap.prototype.handleMapBrowserEvent = function (mapBrowserEvent) {\n        if (!this.frameState_) {\n            // With no view defined, we cannot translate pixels into geographical\n            // coordinates so interactions cannot be used.\n            return;\n        }\n        var originalEvent = /** @type {PointerEvent} */ (mapBrowserEvent.originalEvent);\n        var eventType = originalEvent.type;\n        if (eventType === PointerEventType.POINTERDOWN ||\n            eventType === EventType.WHEEL ||\n            eventType === EventType.KEYDOWN) {\n            var doc = this.getOwnerDocument();\n            var rootNode = this.viewport_.getRootNode\n                ? this.viewport_.getRootNode()\n                : doc;\n            var target = /** @type {Node} */ (originalEvent.target);\n            if (\n            // Abort if the target is a child of the container for elements whose events are not meant\n            // to be handled by map interactions.\n            this.overlayContainerStopEvent_.contains(target) ||\n                // Abort if the event target is a child of the container that is no longer in the page.\n                // It's possible for the target to no longer be in the page if it has been removed in an\n                // event listener, this might happen in a Control that recreates it's content based on\n                // user interaction either manually or via a render in something like https://reactjs.org/\n                !(rootNode === doc ? doc.documentElement : rootNode).contains(target)) {\n                return;\n            }\n        }\n        mapBrowserEvent.frameState = this.frameState_;\n        if (this.dispatchEvent(mapBrowserEvent) !== false) {\n            var interactionsArray = this.getInteractions().getArray().slice();\n            for (var i = interactionsArray.length - 1; i >= 0; i--) {\n                var interaction = interactionsArray[i];\n                if (interaction.getMap() !== this ||\n                    !interaction.getActive() ||\n                    !this.getTargetElement()) {\n                    continue;\n                }\n                var cont = interaction.handleEvent(mapBrowserEvent);\n                if (!cont || mapBrowserEvent.propagationStopped) {\n                    break;\n                }\n            }\n        }\n    };\n    /**\n     * @protected\n     */\n    PluggableMap.prototype.handlePostRender = function () {\n        var frameState = this.frameState_;\n        // Manage the tile queue\n        // Image loads are expensive and a limited resource, so try to use them\n        // efficiently:\n        // * When the view is static we allow a large number of parallel tile loads\n        //   to complete the frame as quickly as possible.\n        // * When animating or interacting, image loads can cause janks, so we reduce\n        //   the maximum number of loads per frame and limit the number of parallel\n        //   tile loads to remain reactive to view changes and to reduce the chance of\n        //   loading tiles that will quickly disappear from view.\n        var tileQueue = this.tileQueue_;\n        if (!tileQueue.isEmpty()) {\n            var maxTotalLoading = this.maxTilesLoading_;\n            var maxNewLoads = maxTotalLoading;\n            if (frameState) {\n                var hints = frameState.viewHints;\n                if (hints[ViewHint.ANIMATING] || hints[ViewHint.INTERACTING]) {\n                    var lowOnFrameBudget = Date.now() - frameState.time > 8;\n                    maxTotalLoading = lowOnFrameBudget ? 0 : 8;\n                    maxNewLoads = lowOnFrameBudget ? 0 : 2;\n                }\n            }\n            if (tileQueue.getTilesLoading() < maxTotalLoading) {\n                tileQueue.reprioritize(); // FIXME only call if view has changed\n                tileQueue.loadMoreTiles(maxTotalLoading, maxNewLoads);\n            }\n        }\n        if (frameState &&\n            this.hasListener(RenderEventType.RENDERCOMPLETE) &&\n            !frameState.animate &&\n            this.renderComplete_) {\n            this.renderer_.dispatchRenderEvent(RenderEventType.RENDERCOMPLETE, frameState);\n        }\n        var postRenderFunctions = this.postRenderFunctions_;\n        for (var i = 0, ii = postRenderFunctions.length; i < ii; ++i) {\n            postRenderFunctions[i](this, frameState);\n        }\n        postRenderFunctions.length = 0;\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleSizeChanged_ = function () {\n        if (this.getView() && !this.getView().getAnimating()) {\n            this.getView().resolveConstraints(0);\n        }\n        this.render();\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleTargetChanged_ = function () {\n        if (this.mapBrowserEventHandler_) {\n            for (var i = 0, ii = this.targetChangeHandlerKeys_.length; i < ii; ++i) {\n                unlistenByKey(this.targetChangeHandlerKeys_[i]);\n            }\n            this.targetChangeHandlerKeys_ = null;\n            this.viewport_.removeEventListener(EventType.CONTEXTMENU, this.boundHandleBrowserEvent_);\n            this.viewport_.removeEventListener(EventType.WHEEL, this.boundHandleBrowserEvent_);\n            this.mapBrowserEventHandler_.dispose();\n            this.mapBrowserEventHandler_ = null;\n            removeNode(this.viewport_);\n        }\n        // target may be undefined, null, a string or an Element.\n        // If it's a string we convert it to an Element before proceeding.\n        // If it's not now an Element we remove the viewport from the DOM.\n        // If it's an Element we append the viewport element to it.\n        var targetElement = this.getTargetElement();\n        if (!targetElement) {\n            if (this.renderer_) {\n                clearTimeout(this.postRenderTimeoutHandle_);\n                this.postRenderTimeoutHandle_ = undefined;\n                this.postRenderFunctions_.length = 0;\n                this.renderer_.dispose();\n                this.renderer_ = null;\n            }\n            if (this.animationDelayKey_) {\n                cancelAnimationFrame(this.animationDelayKey_);\n                this.animationDelayKey_ = undefined;\n            }\n        }\n        else {\n            targetElement.appendChild(this.viewport_);\n            if (!this.renderer_) {\n                this.renderer_ = this.createRenderer();\n            }\n            this.mapBrowserEventHandler_ = new MapBrowserEventHandler(this, this.moveTolerance_);\n            for (var key in MapBrowserEventType) {\n                this.mapBrowserEventHandler_.addEventListener(MapBrowserEventType[key], this.handleMapBrowserEvent.bind(this));\n            }\n            this.viewport_.addEventListener(EventType.CONTEXTMENU, this.boundHandleBrowserEvent_, false);\n            this.viewport_.addEventListener(EventType.WHEEL, this.boundHandleBrowserEvent_, PASSIVE_EVENT_LISTENERS ? { passive: false } : false);\n            var defaultView = this.getOwnerDocument().defaultView;\n            var keyboardEventTarget = !this.keyboardEventTarget_\n                ? targetElement\n                : this.keyboardEventTarget_;\n            this.targetChangeHandlerKeys_ = [\n                listen(keyboardEventTarget, EventType.KEYDOWN, this.handleBrowserEvent, this),\n                listen(keyboardEventTarget, EventType.KEYPRESS, this.handleBrowserEvent, this),\n                listen(defaultView, EventType.RESIZE, this.updateSize, this),\n            ];\n        }\n        this.updateSize();\n        // updateSize calls setSize, so no need to call this.render\n        // ourselves here.\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleTileChange_ = function () {\n        this.render();\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleViewPropertyChanged_ = function () {\n        this.render();\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleViewChanged_ = function () {\n        if (this.viewPropertyListenerKey_) {\n            unlistenByKey(this.viewPropertyListenerKey_);\n            this.viewPropertyListenerKey_ = null;\n        }\n        if (this.viewChangeListenerKey_) {\n            unlistenByKey(this.viewChangeListenerKey_);\n            this.viewChangeListenerKey_ = null;\n        }\n        var view = this.getView();\n        if (view) {\n            this.updateViewportSize_();\n            this.viewPropertyListenerKey_ = listen(view, ObjectEventType.PROPERTYCHANGE, this.handleViewPropertyChanged_, this);\n            this.viewChangeListenerKey_ = listen(view, EventType.CHANGE, this.handleViewPropertyChanged_, this);\n            view.resolveConstraints(0);\n        }\n        this.render();\n    };\n    /**\n     * @private\n     */\n    PluggableMap.prototype.handleLayerGroupChanged_ = function () {\n        if (this.layerGroupPropertyListenerKeys_) {\n            this.layerGroupPropertyListenerKeys_.forEach(unlistenByKey);\n            this.layerGroupPropertyListenerKeys_ = null;\n        }\n        var layerGroup = this.getLayerGroup();\n        if (layerGroup) {\n            this.handleLayerAdd_(new GroupEvent('addlayer', layerGroup));\n            this.layerGroupPropertyListenerKeys_ = [\n                listen(layerGroup, ObjectEventType.PROPERTYCHANGE, this.render, this),\n                listen(layerGroup, EventType.CHANGE, this.render, this),\n                listen(layerGroup, 'addlayer', this.handleLayerAdd_, this),\n                listen(layerGroup, 'removelayer', this.handleLayerRemove_, this),\n            ];\n        }\n        this.render();\n    };\n    /**\n     * @return {boolean} Is rendered.\n     */\n    PluggableMap.prototype.isRendered = function () {\n        return !!this.frameState_;\n    };\n    /**\n     * Requests an immediate render in a synchronous manner.\n     * @api\n     */\n    PluggableMap.prototype.renderSync = function () {\n        if (this.animationDelayKey_) {\n            cancelAnimationFrame(this.animationDelayKey_);\n        }\n        this.animationDelay_();\n    };\n    /**\n     * Redraws all text after new fonts have loaded\n     */\n    PluggableMap.prototype.redrawText = function () {\n        var layerStates = this.getLayerGroup().getLayerStatesArray();\n        for (var i = 0, ii = layerStates.length; i < ii; ++i) {\n            var layer = layerStates[i].layer;\n            if (layer.hasRenderer()) {\n                layer.getRenderer().handleFontsChanged();\n            }\n        }\n    };\n    /**\n     * Request a map rendering (at the next animation frame).\n     * @api\n     */\n    PluggableMap.prototype.render = function () {\n        if (this.renderer_ && this.animationDelayKey_ === undefined) {\n            this.animationDelayKey_ = requestAnimationFrame(this.animationDelay_);\n        }\n    };\n    /**\n     * Remove the given control from the map.\n     * @param {import(\"./control/Control.js\").default} control Control.\n     * @return {import(\"./control/Control.js\").default|undefined} The removed control (or undefined\n     *     if the control was not found).\n     * @api\n     */\n    PluggableMap.prototype.removeControl = function (control) {\n        return this.getControls().remove(control);\n    };\n    /**\n     * Remove the given interaction from the map.\n     * @param {import(\"./interaction/Interaction.js\").default} interaction Interaction to remove.\n     * @return {import(\"./interaction/Interaction.js\").default|undefined} The removed interaction (or\n     *     undefined if the interaction was not found).\n     * @api\n     */\n    PluggableMap.prototype.removeInteraction = function (interaction) {\n        return this.getInteractions().remove(interaction);\n    };\n    /**\n     * Removes the given layer from the map.\n     * @param {import(\"./layer/Base.js\").default} layer Layer.\n     * @return {import(\"./layer/Base.js\").default|undefined} The removed layer (or undefined if the\n     *     layer was not found).\n     * @api\n     */\n    PluggableMap.prototype.removeLayer = function (layer) {\n        var layers = this.getLayerGroup().getLayers();\n        return layers.remove(layer);\n    };\n    /**\n     * @param {import(\"./layer/Group.js\").GroupEvent} event The layer remove event.\n     * @private\n     */\n    PluggableMap.prototype.handleLayerRemove_ = function (event) {\n        removeLayerMapProperty(event.layer);\n    };\n    /**\n     * Remove the given overlay from the map.\n     * @param {import(\"./Overlay.js\").default} overlay Overlay.\n     * @return {import(\"./Overlay.js\").default|undefined} The removed overlay (or undefined\n     *     if the overlay was not found).\n     * @api\n     */\n    PluggableMap.prototype.removeOverlay = function (overlay) {\n        return this.getOverlays().remove(overlay);\n    };\n    /**\n     * @param {number} time Time.\n     * @private\n     */\n    PluggableMap.prototype.renderFrame_ = function (time) {\n        var _this = this;\n        var size = this.getSize();\n        var view = this.getView();\n        var previousFrameState = this.frameState_;\n        /** @type {?FrameState} */\n        var frameState = null;\n        if (size !== undefined && hasArea(size) && view && view.isDef()) {\n            var viewHints = view.getHints(this.frameState_ ? this.frameState_.viewHints : undefined);\n            var viewState = view.getState();\n            frameState = {\n                animate: false,\n                coordinateToPixelTransform: this.coordinateToPixelTransform_,\n                declutterTree: null,\n                extent: getForViewAndSize(viewState.center, viewState.resolution, viewState.rotation, size),\n                index: this.frameIndex_++,\n                layerIndex: 0,\n                layerStatesArray: this.getLayerGroup().getLayerStatesArray(),\n                pixelRatio: this.pixelRatio_,\n                pixelToCoordinateTransform: this.pixelToCoordinateTransform_,\n                postRenderFunctions: [],\n                size: size,\n                tileQueue: this.tileQueue_,\n                time: time,\n                usedTiles: {},\n                viewState: viewState,\n                viewHints: viewHints,\n                wantedTiles: {},\n                mapId: getUid(this),\n                renderTargets: {},\n            };\n            if (viewState.nextCenter && viewState.nextResolution) {\n                var rotation = isNaN(viewState.nextRotation)\n                    ? viewState.rotation\n                    : viewState.nextRotation;\n                frameState.nextExtent = getForViewAndSize(viewState.nextCenter, viewState.nextResolution, rotation, size);\n            }\n        }\n        this.frameState_ = frameState;\n        this.renderer_.renderFrame(frameState);\n        if (frameState) {\n            if (frameState.animate) {\n                this.render();\n            }\n            Array.prototype.push.apply(this.postRenderFunctions_, frameState.postRenderFunctions);\n            if (previousFrameState) {\n                var moveStart = !this.previousExtent_ ||\n                    (!isEmpty(this.previousExtent_) &&\n                        !equals(frameState.extent, this.previousExtent_));\n                if (moveStart) {\n                    this.dispatchEvent(new MapEvent(MapEventType.MOVESTART, this, previousFrameState));\n                    this.previousExtent_ = createOrUpdateEmpty(this.previousExtent_);\n                }\n            }\n            var idle = this.previousExtent_ &&\n                !frameState.viewHints[ViewHint.ANIMATING] &&\n                !frameState.viewHints[ViewHint.INTERACTING] &&\n                !equals(frameState.extent, this.previousExtent_);\n            if (idle) {\n                this.dispatchEvent(new MapEvent(MapEventType.MOVEEND, this, frameState));\n                clone(frameState.extent, this.previousExtent_);\n            }\n        }\n        this.dispatchEvent(new MapEvent(MapEventType.POSTRENDER, this, frameState));\n        this.renderComplete_ =\n            !this.tileQueue_.getTilesLoading() &&\n                !this.tileQueue_.getCount() &&\n                !this.getLoading();\n        if (!this.postRenderTimeoutHandle_) {\n            this.postRenderTimeoutHandle_ = setTimeout(function () {\n                _this.postRenderTimeoutHandle_ = undefined;\n                _this.handlePostRender();\n            }, 0);\n        }\n    };\n    /**\n     * Sets the layergroup of this map.\n     * @param {LayerGroup} layerGroup A layer group containing the layers in this map.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.setLayerGroup = function (layerGroup) {\n        var oldLayerGroup = this.getLayerGroup();\n        if (oldLayerGroup) {\n            this.handleLayerRemove_(new GroupEvent('removelayer', oldLayerGroup));\n        }\n        this.set(MapProperty.LAYERGROUP, layerGroup);\n    };\n    /**\n     * Set the size of this map.\n     * @param {import(\"./size.js\").Size|undefined} size The size in pixels of the map in the DOM.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.setSize = function (size) {\n        this.set(MapProperty.SIZE, size);\n    };\n    /**\n     * Set the target element to render this map into.\n     * @param {HTMLElement|string} [target] The Element or id of the Element\n     *     that the map is rendered in.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.setTarget = function (target) {\n        this.set(MapProperty.TARGET, target);\n    };\n    /**\n     * Set the view for this map.\n     * @param {View|Promise<import(\"./View.js\").ViewOptions>} view The view that controls this map.\n     * It is also possible to pass a promise that resolves to options for constructing a view.  This\n     * alternative allows view properties to be resolved by sources or other components that load\n     * view-related metadata.\n     * @observable\n     * @api\n     */\n    PluggableMap.prototype.setView = function (view) {\n        if (!view || view instanceof View) {\n            this.set(MapProperty.VIEW, view);\n            return;\n        }\n        this.set(MapProperty.VIEW, new View());\n        var map = this;\n        view.then(function (viewOptions) {\n            map.setView(new View(viewOptions));\n        });\n    };\n    /**\n     * Force a recalculation of the map viewport size.  This should be called when\n     * third-party code changes the size of the map viewport.\n     * @api\n     */\n    PluggableMap.prototype.updateSize = function () {\n        var targetElement = this.getTargetElement();\n        var size = undefined;\n        if (targetElement) {\n            var computedStyle = getComputedStyle(targetElement);\n            var width = targetElement.offsetWidth -\n                parseFloat(computedStyle['borderLeftWidth']) -\n                parseFloat(computedStyle['paddingLeft']) -\n                parseFloat(computedStyle['paddingRight']) -\n                parseFloat(computedStyle['borderRightWidth']);\n            var height = targetElement.offsetHeight -\n                parseFloat(computedStyle['borderTopWidth']) -\n                parseFloat(computedStyle['paddingTop']) -\n                parseFloat(computedStyle['paddingBottom']) -\n                parseFloat(computedStyle['borderBottomWidth']);\n            if (!isNaN(width) && !isNaN(height)) {\n                size = [width, height];\n                if (!hasArea(size) &&\n                    !!(targetElement.offsetWidth ||\n                        targetElement.offsetHeight ||\n                        targetElement.getClientRects().length)) {\n                    // eslint-disable-next-line\n                    console.warn(\"No map visible because the map container's width or height are 0.\");\n                }\n            }\n        }\n        this.setSize(size);\n        this.updateViewportSize_();\n    };\n    /**\n     * Recomputes the viewport size and save it on the view object (if any)\n     * @private\n     */\n    PluggableMap.prototype.updateViewportSize_ = function () {\n        var view = this.getView();\n        if (view) {\n            var size = undefined;\n            var computedStyle = getComputedStyle(this.viewport_);\n            if (computedStyle.width && computedStyle.height) {\n                size = [\n                    parseInt(computedStyle.width, 10),\n                    parseInt(computedStyle.height, 10),\n                ];\n            }\n            view.setViewportSize(size);\n        }\n    };\n    return PluggableMap;\n}(BaseObject));\n/**\n * @param {MapOptions} options Map options.\n * @return {MapOptionsInternal} Internal map options.\n */\nfunction createOptionsInternal(options) {\n    /**\n     * @type {HTMLElement|Document}\n     */\n    var keyboardEventTarget = null;\n    if (options.keyboardEventTarget !== undefined) {\n        keyboardEventTarget =\n            typeof options.keyboardEventTarget === 'string'\n                ? document.getElementById(options.keyboardEventTarget)\n                : options.keyboardEventTarget;\n    }\n    /**\n     * @type {Object<string, *>}\n     */\n    var values = {};\n    var layerGroup = options.layers &&\n        typeof ( /** @type {?} */(options.layers).getLayers) === 'function'\n        ? /** @type {LayerGroup} */ (options.layers)\n        : new LayerGroup({ layers: /** @type {Collection} */ (options.layers) });\n    values[MapProperty.LAYERGROUP] = layerGroup;\n    values[MapProperty.TARGET] = options.target;\n    values[MapProperty.VIEW] =\n        options.view instanceof View ? options.view : new View();\n    var controls;\n    if (options.controls !== undefined) {\n        if (Array.isArray(options.controls)) {\n            controls = new Collection(options.controls.slice());\n        }\n        else {\n            assert(typeof ( /** @type {?} */(options.controls).getArray) === 'function', 47); // Expected `controls` to be an array or an `import(\"./Collection.js\").Collection`\n            controls = /** @type {Collection} */ (options.controls);\n        }\n    }\n    var interactions;\n    if (options.interactions !== undefined) {\n        if (Array.isArray(options.interactions)) {\n            interactions = new Collection(options.interactions.slice());\n        }\n        else {\n            assert(typeof ( /** @type {?} */(options.interactions).getArray) ===\n                'function', 48); // Expected `interactions` to be an array or an `import(\"./Collection.js\").Collection`\n            interactions = /** @type {Collection} */ (options.interactions);\n        }\n    }\n    var overlays;\n    if (options.overlays !== undefined) {\n        if (Array.isArray(options.overlays)) {\n            overlays = new Collection(options.overlays.slice());\n        }\n        else {\n            assert(typeof ( /** @type {?} */(options.overlays).getArray) === 'function', 49); // Expected `overlays` to be an array or an `import(\"./Collection.js\").Collection`\n            overlays = options.overlays;\n        }\n    }\n    else {\n        overlays = new Collection();\n    }\n    return {\n        controls: controls,\n        interactions: interactions,\n        keyboardEventTarget: keyboardEventTarget,\n        overlays: overlays,\n        values: values,\n    };\n}\nexport default PluggableMap;\n//# sourceMappingURL=PluggableMap.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/control/Control\n */\nimport BaseObject from '../Object.js';\nimport MapEventType from '../MapEventType.js';\nimport { VOID } from '../functions.js';\nimport { listen, unlistenByKey } from '../events.js';\nimport { removeNode } from '../dom.js';\n/**\n * @typedef {Object} Options\n * @property {HTMLElement} [element] The element is the control's\n * container element. This only needs to be specified if you're developing\n * a custom control.\n * @property {function(import(\"../MapEvent.js\").default):void} [render] Function called when\n * the control should be re-rendered. This is called in a `requestAnimationFrame`\n * callback.\n * @property {HTMLElement|string} [target] Specify a target if you want\n * the control to be rendered outside of the map's viewport.\n */\n/**\n * @classdesc\n * A control is a visible widget with a DOM element in a fixed position on the\n * screen. They can involve user input (buttons), or be informational only;\n * the position is determined using CSS. By default these are placed in the\n * container with CSS class name `ol-overlaycontainer-stopevent`, but can use\n * any outside DOM element.\n *\n * This is the base class for controls. You can use it for simple custom\n * controls by creating the element with listeners, creating an instance:\n * ```js\n * var myControl = new Control({element: myElement});\n * ```\n * and then adding this to the map.\n *\n * The main advantage of having this as a control rather than a simple separate\n * DOM element is that preventing propagation is handled for you. Controls\n * will also be objects in a {@link module:ol/Collection~Collection}, so you can use their methods.\n *\n * You can also extend this base for your own control class. See\n * examples/custom-controls for an example of how to do this.\n *\n * @api\n */\nvar Control = /** @class */ (function (_super) {\n    __extends(Control, _super);\n    /**\n     * @param {Options} options Control options.\n     */\n    function Control(options) {\n        var _this = _super.call(this) || this;\n        var element = options.element;\n        if (element && !options.target && !element.style.pointerEvents) {\n            element.style.pointerEvents = 'auto';\n        }\n        /**\n         * @protected\n         * @type {HTMLElement}\n         */\n        _this.element = element ? element : null;\n        /**\n         * @private\n         * @type {HTMLElement}\n         */\n        _this.target_ = null;\n        /**\n         * @private\n         * @type {import(\"../PluggableMap.js\").default}\n         */\n        _this.map_ = null;\n        /**\n         * @protected\n         * @type {!Array<import(\"../events.js\").EventsKey>}\n         */\n        _this.listenerKeys = [];\n        if (options.render) {\n            _this.render = options.render;\n        }\n        if (options.target) {\n            _this.setTarget(options.target);\n        }\n        return _this;\n    }\n    /**\n     * Clean up.\n     */\n    Control.prototype.disposeInternal = function () {\n        removeNode(this.element);\n        _super.prototype.disposeInternal.call(this);\n    };\n    /**\n     * Get the map associated with this control.\n     * @return {import(\"../PluggableMap.js\").default|undefined} Map.\n     * @api\n     */\n    Control.prototype.getMap = function () {\n        return this.map_;\n    };\n    /**\n     * Remove the control from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} [map] Map.\n     * @api\n     */\n    Control.prototype.setMap = function (map) {\n        if (this.map_) {\n            removeNode(this.element);\n        }\n        for (var i = 0, ii = this.listenerKeys.length; i < ii; ++i) {\n            unlistenByKey(this.listenerKeys[i]);\n        }\n        this.listenerKeys.length = 0;\n        this.map_ = map;\n        if (this.map_) {\n            var target = this.target_\n                ? this.target_\n                : map.getOverlayContainerStopEvent();\n            target.appendChild(this.element);\n            if (this.render !== VOID) {\n                this.listenerKeys.push(listen(map, MapEventType.POSTRENDER, this.render, this));\n            }\n            map.render();\n        }\n    };\n    /**\n     * Renders the control.\n     * @param {import(\"../MapEvent.js\").default} mapEvent Map event.\n     * @api\n     */\n    Control.prototype.render = function (mapEvent) { };\n    /**\n     * This function is used to set a target element for the control. It has no\n     * effect if it is called after the control has been added to the map (i.e.\n     * after `setMap` is called on the control). If no `target` is set in the\n     * options passed to the control constructor and if `setTarget` is not called\n     * then the control is added to the map's overlay container.\n     * @param {HTMLElement|string} target Target.\n     * @api\n     */\n    Control.prototype.setTarget = function (target) {\n        this.target_ =\n            typeof target === 'string' ? document.getElementById(target) : target;\n    };\n    return Control;\n}(BaseObject));\nexport default Control;\n//# sourceMappingURL=Control.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/control/Attribution\n */\nimport Control from './Control.js';\nimport EventType from '../events/EventType.js';\nimport { CLASS_COLLAPSED, CLASS_CONTROL, CLASS_UNSELECTABLE } from '../css.js';\nimport { equals } from '../array.js';\nimport { inView } from '../layer/Layer.js';\nimport { removeChildren, replaceNode } from '../dom.js';\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-attribution'] CSS class name.\n * @property {HTMLElement|string} [target] Specify a target if you\n * want the control to be rendered outside of the map's\n * viewport.\n * @property {boolean} [collapsible] Specify if attributions can\n * be collapsed. If not specified, sources control this behavior with their\n * `attributionsCollapsible` setting.\n * @property {boolean} [collapsed=true] Specify if attributions should\n * be collapsed at startup.\n * @property {string} [tipLabel='Attributions'] Text label to use for the button tip.\n * @property {string|HTMLElement} [label='i'] Text label to use for the\n * collapsed attributions button.\n * Instead of text, also an element (e.g. a `span` element) can be used.\n * @property {string} [expandClassName=className + '-expand'] CSS class name for the\n * collapsed attributions button.\n * @property {string|HTMLElement} [collapseLabel='›'] Text label to use\n * for the expanded attributions button.\n * Instead of text, also an element (e.g. a `span` element) can be used.\n * @property {string} [collapseClassName=className + '-collapse'] CSS class name for the\n * expanded attributions button.\n * @property {function(import(\"../MapEvent.js\").default):void} [render] Function called when\n * the control should be re-rendered. This is called in a `requestAnimationFrame`\n * callback.\n */\n/**\n * @classdesc\n * Control to show all the attributions associated with the layer sources\n * in the map. This control is one of the default controls included in maps.\n * By default it will show in the bottom right portion of the map, but this can\n * be changed by using a css selector for `.ol-attribution`.\n *\n * @api\n */\nvar Attribution = /** @class */ (function (_super) {\n    __extends(Attribution, _super);\n    /**\n     * @param {Options} [opt_options] Attribution options.\n     */\n    function Attribution(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            element: document.createElement('div'),\n            render: options.render,\n            target: options.target,\n        }) || this;\n        /**\n         * @private\n         * @type {HTMLElement}\n         */\n        _this.ulElement_ = document.createElement('ul');\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.collapsed_ =\n            options.collapsed !== undefined ? options.collapsed : true;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.userCollapsed_ = _this.collapsed_;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.overrideCollapsible_ = options.collapsible !== undefined;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.collapsible_ =\n            options.collapsible !== undefined ? options.collapsible : true;\n        if (!_this.collapsible_) {\n            _this.collapsed_ = false;\n        }\n        var className = options.className !== undefined ? options.className : 'ol-attribution';\n        var tipLabel = options.tipLabel !== undefined ? options.tipLabel : 'Attributions';\n        var expandClassName = options.expandClassName !== undefined\n            ? options.expandClassName\n            : className + '-expand';\n        var collapseLabel = options.collapseLabel !== undefined ? options.collapseLabel : '\\u203A';\n        var collapseClassName = options.collapseClassName !== undefined\n            ? options.collapseClassName\n            : className + '-collpase';\n        if (typeof collapseLabel === 'string') {\n            /**\n             * @private\n             * @type {HTMLElement}\n             */\n            _this.collapseLabel_ = document.createElement('span');\n            _this.collapseLabel_.textContent = collapseLabel;\n            _this.collapseLabel_.className = collapseClassName;\n        }\n        else {\n            _this.collapseLabel_ = collapseLabel;\n        }\n        var label = options.label !== undefined ? options.label : 'i';\n        if (typeof label === 'string') {\n            /**\n             * @private\n             * @type {HTMLElement}\n             */\n            _this.label_ = document.createElement('span');\n            _this.label_.textContent = label;\n            _this.label_.className = expandClassName;\n        }\n        else {\n            _this.label_ = label;\n        }\n        var activeLabel = _this.collapsible_ && !_this.collapsed_ ? _this.collapseLabel_ : _this.label_;\n        /**\n         * @private\n         * @type {HTMLElement}\n         */\n        _this.toggleButton_ = document.createElement('button');\n        _this.toggleButton_.setAttribute('type', 'button');\n        _this.toggleButton_.setAttribute('aria-expanded', String(!_this.collapsed_));\n        _this.toggleButton_.title = tipLabel;\n        _this.toggleButton_.appendChild(activeLabel);\n        _this.toggleButton_.addEventListener(EventType.CLICK, _this.handleClick_.bind(_this), false);\n        var cssClasses = className +\n            ' ' +\n            CLASS_UNSELECTABLE +\n            ' ' +\n            CLASS_CONTROL +\n            (_this.collapsed_ && _this.collapsible_ ? ' ' + CLASS_COLLAPSED : '') +\n            (_this.collapsible_ ? '' : ' ol-uncollapsible');\n        var element = _this.element;\n        element.className = cssClasses;\n        element.appendChild(_this.toggleButton_);\n        element.appendChild(_this.ulElement_);\n        /**\n         * A list of currently rendered resolutions.\n         * @type {Array<string>}\n         * @private\n         */\n        _this.renderedAttributions_ = [];\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderedVisible_ = true;\n        return _this;\n    }\n    /**\n     * Collect a list of visible attributions and set the collapsible state.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {Array<string>} Attributions.\n     * @private\n     */\n    Attribution.prototype.collectSourceAttributions_ = function (frameState) {\n        /**\n         * Used to determine if an attribution already exists.\n         * @type {!Object<string, boolean>}\n         */\n        var lookup = {};\n        /**\n         * A list of visible attributions.\n         * @type {Array<string>}\n         */\n        var visibleAttributions = [];\n        var collapsible = true;\n        var layerStatesArray = frameState.layerStatesArray;\n        for (var i = 0, ii = layerStatesArray.length; i < ii; ++i) {\n            var layerState = layerStatesArray[i];\n            if (!inView(layerState, frameState.viewState)) {\n                continue;\n            }\n            var source = /** @type {import(\"../layer/Layer.js\").default} */ (layerState.layer).getSource();\n            if (!source) {\n                continue;\n            }\n            var attributionGetter = source.getAttributions();\n            if (!attributionGetter) {\n                continue;\n            }\n            var attributions = attributionGetter(frameState);\n            if (!attributions) {\n                continue;\n            }\n            collapsible =\n                collapsible && source.getAttributionsCollapsible() !== false;\n            if (Array.isArray(attributions)) {\n                for (var j = 0, jj = attributions.length; j < jj; ++j) {\n                    if (!(attributions[j] in lookup)) {\n                        visibleAttributions.push(attributions[j]);\n                        lookup[attributions[j]] = true;\n                    }\n                }\n            }\n            else {\n                if (!(attributions in lookup)) {\n                    visibleAttributions.push(attributions);\n                    lookup[attributions] = true;\n                }\n            }\n        }\n        if (!this.overrideCollapsible_) {\n            this.setCollapsible(collapsible);\n        }\n        return visibleAttributions;\n    };\n    /**\n     * @private\n     * @param {?import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    Attribution.prototype.updateElement_ = function (frameState) {\n        if (!frameState) {\n            if (this.renderedVisible_) {\n                this.element.style.display = 'none';\n                this.renderedVisible_ = false;\n            }\n            return;\n        }\n        var attributions = this.collectSourceAttributions_(frameState);\n        var visible = attributions.length > 0;\n        if (this.renderedVisible_ != visible) {\n            this.element.style.display = visible ? '' : 'none';\n            this.renderedVisible_ = visible;\n        }\n        if (equals(attributions, this.renderedAttributions_)) {\n            return;\n        }\n        removeChildren(this.ulElement_);\n        // append the attributions\n        for (var i = 0, ii = attributions.length; i < ii; ++i) {\n            var element = document.createElement('li');\n            element.innerHTML = attributions[i];\n            this.ulElement_.appendChild(element);\n        }\n        this.renderedAttributions_ = attributions;\n    };\n    /**\n     * @param {MouseEvent} event The event to handle\n     * @private\n     */\n    Attribution.prototype.handleClick_ = function (event) {\n        event.preventDefault();\n        this.handleToggle_();\n        this.userCollapsed_ = this.collapsed_;\n    };\n    /**\n     * @private\n     */\n    Attribution.prototype.handleToggle_ = function () {\n        this.element.classList.toggle(CLASS_COLLAPSED);\n        if (this.collapsed_) {\n            replaceNode(this.collapseLabel_, this.label_);\n        }\n        else {\n            replaceNode(this.label_, this.collapseLabel_);\n        }\n        this.collapsed_ = !this.collapsed_;\n        this.toggleButton_.setAttribute('aria-expanded', String(!this.collapsed_));\n    };\n    /**\n     * Return `true` if the attribution is collapsible, `false` otherwise.\n     * @return {boolean} True if the widget is collapsible.\n     * @api\n     */\n    Attribution.prototype.getCollapsible = function () {\n        return this.collapsible_;\n    };\n    /**\n     * Set whether the attribution should be collapsible.\n     * @param {boolean} collapsible True if the widget is collapsible.\n     * @api\n     */\n    Attribution.prototype.setCollapsible = function (collapsible) {\n        if (this.collapsible_ === collapsible) {\n            return;\n        }\n        this.collapsible_ = collapsible;\n        this.element.classList.toggle('ol-uncollapsible');\n        if (this.userCollapsed_) {\n            this.handleToggle_();\n        }\n    };\n    /**\n     * Collapse or expand the attribution according to the passed parameter. Will\n     * not do anything if the attribution isn't collapsible or if the current\n     * collapsed state is already the one requested.\n     * @param {boolean} collapsed True if the widget is collapsed.\n     * @api\n     */\n    Attribution.prototype.setCollapsed = function (collapsed) {\n        this.userCollapsed_ = collapsed;\n        if (!this.collapsible_ || this.collapsed_ === collapsed) {\n            return;\n        }\n        this.handleToggle_();\n    };\n    /**\n     * Return `true` when the attribution is currently collapsed or `false`\n     * otherwise.\n     * @return {boolean} True if the widget is collapsed.\n     * @api\n     */\n    Attribution.prototype.getCollapsed = function () {\n        return this.collapsed_;\n    };\n    /**\n     * Update the attribution element.\n     * @param {import(\"../MapEvent.js\").default} mapEvent Map event.\n     * @override\n     */\n    Attribution.prototype.render = function (mapEvent) {\n        this.updateElement_(mapEvent.frameState);\n    };\n    return Attribution;\n}(Control));\nexport default Attribution;\n//# sourceMappingURL=Attribution.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/control/Rotate\n */\nimport Control from './Control.js';\nimport EventType from '../events/EventType.js';\nimport { CLASS_CONTROL, CLASS_HIDDEN, CLASS_UNSELECTABLE } from '../css.js';\nimport { easeOut } from '../easing.js';\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-rotate'] CSS class name.\n * @property {string|HTMLElement} [label='⇧'] Text label to use for the rotate button.\n * Instead of text, also an element (e.g. a `span` element) can be used.\n * @property {string} [tipLabel='Reset rotation'] Text label to use for the rotate tip.\n * @property {string} [compassClassName='ol-compass'] CSS class name for the compass.\n * @property {number} [duration=250] Animation duration in milliseconds.\n * @property {boolean} [autoHide=true] Hide the control when rotation is 0.\n * @property {function(import(\"../MapEvent.js\").default):void} [render] Function called when the control should\n * be re-rendered. This is called in a `requestAnimationFrame` callback.\n * @property {function():void} [resetNorth] Function called when the control is clicked.\n * This will override the default `resetNorth`.\n * @property {HTMLElement|string} [target] Specify a target if you want the control to be\n * rendered outside of the map's viewport.\n */\n/**\n * @classdesc\n * A button control to reset rotation to 0.\n * To style this control use css selector `.ol-rotate`. A `.ol-hidden` css\n * selector is added to the button when the rotation is 0.\n *\n * @api\n */\nvar Rotate = /** @class */ (function (_super) {\n    __extends(Rotate, _super);\n    /**\n     * @param {Options} [opt_options] Rotate options.\n     */\n    function Rotate(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            element: document.createElement('div'),\n            render: options.render,\n            target: options.target,\n        }) || this;\n        var className = options.className !== undefined ? options.className : 'ol-rotate';\n        var label = options.label !== undefined ? options.label : '\\u21E7';\n        var compassClassName = options.compassClassName !== undefined\n            ? options.compassClassName\n            : 'ol-compass';\n        /**\n         * @type {HTMLElement}\n         * @private\n         */\n        _this.label_ = null;\n        if (typeof label === 'string') {\n            _this.label_ = document.createElement('span');\n            _this.label_.className = compassClassName;\n            _this.label_.textContent = label;\n        }\n        else {\n            _this.label_ = label;\n            _this.label_.classList.add(compassClassName);\n        }\n        var tipLabel = options.tipLabel ? options.tipLabel : 'Reset rotation';\n        var button = document.createElement('button');\n        button.className = className + '-reset';\n        button.setAttribute('type', 'button');\n        button.title = tipLabel;\n        button.appendChild(_this.label_);\n        button.addEventListener(EventType.CLICK, _this.handleClick_.bind(_this), false);\n        var cssClasses = className + ' ' + CLASS_UNSELECTABLE + ' ' + CLASS_CONTROL;\n        var element = _this.element;\n        element.className = cssClasses;\n        element.appendChild(button);\n        _this.callResetNorth_ = options.resetNorth ? options.resetNorth : undefined;\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.autoHide_ = options.autoHide !== undefined ? options.autoHide : true;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.rotation_ = undefined;\n        if (_this.autoHide_) {\n            _this.element.classList.add(CLASS_HIDDEN);\n        }\n        return _this;\n    }\n    /**\n     * @param {MouseEvent} event The event to handle\n     * @private\n     */\n    Rotate.prototype.handleClick_ = function (event) {\n        event.preventDefault();\n        if (this.callResetNorth_ !== undefined) {\n            this.callResetNorth_();\n        }\n        else {\n            this.resetNorth_();\n        }\n    };\n    /**\n     * @private\n     */\n    Rotate.prototype.resetNorth_ = function () {\n        var map = this.getMap();\n        var view = map.getView();\n        if (!view) {\n            // the map does not have a view, so we can't act\n            // upon it\n            return;\n        }\n        var rotation = view.getRotation();\n        if (rotation !== undefined) {\n            if (this.duration_ > 0 && rotation % (2 * Math.PI) !== 0) {\n                view.animate({\n                    rotation: 0,\n                    duration: this.duration_,\n                    easing: easeOut,\n                });\n            }\n            else {\n                view.setRotation(0);\n            }\n        }\n    };\n    /**\n     * Update the rotate control element.\n     * @param {import(\"../MapEvent.js\").default} mapEvent Map event.\n     * @override\n     */\n    Rotate.prototype.render = function (mapEvent) {\n        var frameState = mapEvent.frameState;\n        if (!frameState) {\n            return;\n        }\n        var rotation = frameState.viewState.rotation;\n        if (rotation != this.rotation_) {\n            var transform = 'rotate(' + rotation + 'rad)';\n            if (this.autoHide_) {\n                var contains = this.element.classList.contains(CLASS_HIDDEN);\n                if (!contains && rotation === 0) {\n                    this.element.classList.add(CLASS_HIDDEN);\n                }\n                else if (contains && rotation !== 0) {\n                    this.element.classList.remove(CLASS_HIDDEN);\n                }\n            }\n            this.label_.style.transform = transform;\n        }\n        this.rotation_ = rotation;\n    };\n    return Rotate;\n}(Control));\nexport default Rotate;\n//# sourceMappingURL=Rotate.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/control/Zoom\n */\nimport Control from './Control.js';\nimport EventType from '../events/EventType.js';\nimport { CLASS_CONTROL, CLASS_UNSELECTABLE } from '../css.js';\nimport { easeOut } from '../easing.js';\n/**\n * @typedef {Object} Options\n * @property {number} [duration=250] Animation duration in milliseconds.\n * @property {string} [className='ol-zoom'] CSS class name.\n * @property {string} [zoomInClassName=className + '-in'] CSS class name for the zoom-in button.\n * @property {string} [zoomOutClassName=className + '-out'] CSS class name for the zoom-out button.\n * @property {string|HTMLElement} [zoomInLabel='+'] Text label to use for the zoom-in\n * button. Instead of text, also an element (e.g. a `span` element) can be used.\n * @property {string|HTMLElement} [zoomOutLabel='–'] Text label to use for the zoom-out button.\n * Instead of text, also an element (e.g. a `span` element) can be used.\n * @property {string} [zoomInTipLabel='Zoom in'] Text label to use for the button tip.\n * @property {string} [zoomOutTipLabel='Zoom out'] Text label to use for the button tip.\n * @property {number} [delta=1] The zoom delta applied on each click.\n * @property {HTMLElement|string} [target] Specify a target if you want the control to be\n * rendered outside of the map's viewport.\n */\n/**\n * @classdesc\n * A control with 2 buttons, one for zoom in and one for zoom out.\n * This control is one of the default controls of a map. To style this control\n * use css selectors `.ol-zoom-in` and `.ol-zoom-out`.\n *\n * @api\n */\nvar Zoom = /** @class */ (function (_super) {\n    __extends(Zoom, _super);\n    /**\n     * @param {Options} [opt_options] Zoom options.\n     */\n    function Zoom(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            element: document.createElement('div'),\n            target: options.target,\n        }) || this;\n        var className = options.className !== undefined ? options.className : 'ol-zoom';\n        var delta = options.delta !== undefined ? options.delta : 1;\n        var zoomInClassName = options.zoomInClassName !== undefined\n            ? options.zoomInClassName\n            : className + '-in';\n        var zoomOutClassName = options.zoomOutClassName !== undefined\n            ? options.zoomOutClassName\n            : className + '-out';\n        var zoomInLabel = options.zoomInLabel !== undefined ? options.zoomInLabel : '+';\n        var zoomOutLabel = options.zoomOutLabel !== undefined ? options.zoomOutLabel : '\\u2013';\n        var zoomInTipLabel = options.zoomInTipLabel !== undefined ? options.zoomInTipLabel : 'Zoom in';\n        var zoomOutTipLabel = options.zoomOutTipLabel !== undefined\n            ? options.zoomOutTipLabel\n            : 'Zoom out';\n        var inElement = document.createElement('button');\n        inElement.className = zoomInClassName;\n        inElement.setAttribute('type', 'button');\n        inElement.title = zoomInTipLabel;\n        inElement.appendChild(typeof zoomInLabel === 'string'\n            ? document.createTextNode(zoomInLabel)\n            : zoomInLabel);\n        inElement.addEventListener(EventType.CLICK, _this.handleClick_.bind(_this, delta), false);\n        var outElement = document.createElement('button');\n        outElement.className = zoomOutClassName;\n        outElement.setAttribute('type', 'button');\n        outElement.title = zoomOutTipLabel;\n        outElement.appendChild(typeof zoomOutLabel === 'string'\n            ? document.createTextNode(zoomOutLabel)\n            : zoomOutLabel);\n        outElement.addEventListener(EventType.CLICK, _this.handleClick_.bind(_this, -delta), false);\n        var cssClasses = className + ' ' + CLASS_UNSELECTABLE + ' ' + CLASS_CONTROL;\n        var element = _this.element;\n        element.className = cssClasses;\n        element.appendChild(inElement);\n        element.appendChild(outElement);\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        return _this;\n    }\n    /**\n     * @param {number} delta Zoom delta.\n     * @param {MouseEvent} event The event to handle\n     * @private\n     */\n    Zoom.prototype.handleClick_ = function (delta, event) {\n        event.preventDefault();\n        this.zoomByDelta_(delta);\n    };\n    /**\n     * @param {number} delta Zoom delta.\n     * @private\n     */\n    Zoom.prototype.zoomByDelta_ = function (delta) {\n        var map = this.getMap();\n        var view = map.getView();\n        if (!view) {\n            // the map does not have a view, so we can't act\n            // upon it\n            return;\n        }\n        var currentZoom = view.getZoom();\n        if (currentZoom !== undefined) {\n            var newZoom = view.getConstrainedZoom(currentZoom + delta);\n            if (this.duration_ > 0) {\n                if (view.getAnimating()) {\n                    view.cancelAnimations();\n                }\n                view.animate({\n                    zoom: newZoom,\n                    duration: this.duration_,\n                    easing: easeOut,\n                });\n            }\n            else {\n                view.setZoom(newZoom);\n            }\n        }\n    };\n    return Zoom;\n}(Control));\nexport default Zoom;\n//# sourceMappingURL=Zoom.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/control/ScaleLine\n */\nimport Control from './Control.js';\nimport ProjUnits from '../proj/Units.js';\nimport { CLASS_UNSELECTABLE } from '../css.js';\nimport { METERS_PER_UNIT, getPointResolution } from '../proj.js';\nimport { assert } from '../asserts.js';\n/**\n * @type {string}\n */\nvar UNITS_PROP = 'units';\n/**\n * Units for the scale line. Supported values are `'degrees'`, `'imperial'`,\n * `'nautical'`, `'metric'`, `'us'`.\n * @enum {string}\n */\nexport var Units = {\n    DEGREES: 'degrees',\n    IMPERIAL: 'imperial',\n    NAUTICAL: 'nautical',\n    METRIC: 'metric',\n    US: 'us',\n};\n/**\n * @const\n * @type {Array<number>}\n */\nvar LEADING_DIGITS = [1, 2, 5];\n/**\n * @const\n * @type {number}\n */\nvar DEFAULT_DPI = 25.4 / 0.28;\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:units', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types\n *     |'change:units', Return>} ScaleLineOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-scale-line'] CSS Class name.\n * @property {number} [minWidth=64] Minimum width in pixels at the OGC default dpi. The width will be\n * adjusted to match the dpi used.\n * @property {function(import(\"../MapEvent.js\").default):void} [render] Function called when the control\n * should be re-rendered. This is called in a `requestAnimationFrame` callback.\n * @property {HTMLElement|string} [target] Specify a target if you want the control\n * to be rendered outside of the map's viewport.\n * @property {import(\"./ScaleLine.js\").Units|string} [units='metric'] Units.\n * @property {boolean} [bar=false] Render scalebars instead of a line.\n * @property {number} [steps=4] Number of steps the scalebar should use. Use even numbers\n * for best results. Only applies when `bar` is `true`.\n * @property {boolean} [text=false] Render the text scale above of the scalebar. Only applies\n * when `bar` is `true`.\n * @property {number|undefined} [dpi=undefined] dpi of output device such as printer. Only applies\n * when `bar` is `true`. If undefined the OGC default screen pixel size of 0.28mm will be assumed.\n */\n/**\n * @classdesc\n * A control displaying rough y-axis distances, calculated for the center of the\n * viewport. For conformal projections (e.g. EPSG:3857, the default view\n * projection in OpenLayers), the scale is valid for all directions.\n * No scale line will be shown when the y-axis distance of a pixel at the\n * viewport center cannot be calculated in the view projection.\n * By default the scale line will show in the bottom left portion of the map,\n * but this can be changed by using the css selector `.ol-scale-line`.\n * When specifying `bar` as `true`, a scalebar will be rendered instead\n * of a scaleline.\n *\n * @api\n */\nvar ScaleLine = /** @class */ (function (_super) {\n    __extends(ScaleLine, _super);\n    /**\n     * @param {Options} [opt_options] Scale line options.\n     */\n    function ScaleLine(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var className = options.className !== undefined\n            ? options.className\n            : options.bar\n                ? 'ol-scale-bar'\n                : 'ol-scale-line';\n        _this = _super.call(this, {\n            element: document.createElement('div'),\n            render: options.render,\n            target: options.target,\n        }) || this;\n        /***\n         * @type {ScaleLineOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ScaleLineOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ScaleLineOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {HTMLElement}\n         */\n        _this.innerElement_ = document.createElement('div');\n        _this.innerElement_.className = className + '-inner';\n        _this.element.className = className + ' ' + CLASS_UNSELECTABLE;\n        _this.element.appendChild(_this.innerElement_);\n        /**\n         * @private\n         * @type {?import(\"../View.js\").State}\n         */\n        _this.viewState_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.minWidth_ = options.minWidth !== undefined ? options.minWidth : 64;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderedVisible_ = false;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.renderedWidth_ = undefined;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.renderedHTML_ = '';\n        _this.addChangeListener(UNITS_PROP, _this.handleUnitsChanged_);\n        _this.setUnits(options.units || Units.METRIC);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.scaleBar_ = options.bar || false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.scaleBarSteps_ = options.steps || 4;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.scaleBarText_ = options.text || false;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.dpi_ = options.dpi || undefined;\n        return _this;\n    }\n    /**\n     * Return the units to use in the scale line.\n     * @return {import(\"./ScaleLine.js\").Units} The units\n     * to use in the scale line.\n     * @observable\n     * @api\n     */\n    ScaleLine.prototype.getUnits = function () {\n        return this.get(UNITS_PROP);\n    };\n    /**\n     * @private\n     */\n    ScaleLine.prototype.handleUnitsChanged_ = function () {\n        this.updateElement_();\n    };\n    /**\n     * Set the units to use in the scale line.\n     * @param {import(\"./ScaleLine.js\").Units} units The units to use in the scale line.\n     * @observable\n     * @api\n     */\n    ScaleLine.prototype.setUnits = function (units) {\n        this.set(UNITS_PROP, units);\n    };\n    /**\n     * Specify the dpi of output device such as printer.\n     * @param {number|undefined} dpi The dpi of output device.\n     * @api\n     */\n    ScaleLine.prototype.setDpi = function (dpi) {\n        this.dpi_ = dpi;\n    };\n    /**\n     * @private\n     */\n    ScaleLine.prototype.updateElement_ = function () {\n        var viewState = this.viewState_;\n        if (!viewState) {\n            if (this.renderedVisible_) {\n                this.element.style.display = 'none';\n                this.renderedVisible_ = false;\n            }\n            return;\n        }\n        var center = viewState.center;\n        var projection = viewState.projection;\n        var units = this.getUnits();\n        var pointResolutionUnits = units == Units.DEGREES ? ProjUnits.DEGREES : ProjUnits.METERS;\n        var pointResolution = getPointResolution(projection, viewState.resolution, center, pointResolutionUnits);\n        var minWidth = (this.minWidth_ * (this.dpi_ || DEFAULT_DPI)) / DEFAULT_DPI;\n        var nominalCount = minWidth * pointResolution;\n        var suffix = '';\n        if (units == Units.DEGREES) {\n            var metersPerDegree = METERS_PER_UNIT[ProjUnits.DEGREES];\n            nominalCount *= metersPerDegree;\n            if (nominalCount < metersPerDegree / 60) {\n                suffix = '\\u2033'; // seconds\n                pointResolution *= 3600;\n            }\n            else if (nominalCount < metersPerDegree) {\n                suffix = '\\u2032'; // minutes\n                pointResolution *= 60;\n            }\n            else {\n                suffix = '\\u00b0'; // degrees\n            }\n        }\n        else if (units == Units.IMPERIAL) {\n            if (nominalCount < 0.9144) {\n                suffix = 'in';\n                pointResolution /= 0.0254;\n            }\n            else if (nominalCount < 1609.344) {\n                suffix = 'ft';\n                pointResolution /= 0.3048;\n            }\n            else {\n                suffix = 'mi';\n                pointResolution /= 1609.344;\n            }\n        }\n        else if (units == Units.NAUTICAL) {\n            pointResolution /= 1852;\n            suffix = 'nm';\n        }\n        else if (units == Units.METRIC) {\n            if (nominalCount < 0.001) {\n                suffix = 'μm';\n                pointResolution *= 1000000;\n            }\n            else if (nominalCount < 1) {\n                suffix = 'mm';\n                pointResolution *= 1000;\n            }\n            else if (nominalCount < 1000) {\n                suffix = 'm';\n            }\n            else {\n                suffix = 'km';\n                pointResolution /= 1000;\n            }\n        }\n        else if (units == Units.US) {\n            if (nominalCount < 0.9144) {\n                suffix = 'in';\n                pointResolution *= 39.37;\n            }\n            else if (nominalCount < 1609.344) {\n                suffix = 'ft';\n                pointResolution /= 0.30480061;\n            }\n            else {\n                suffix = 'mi';\n                pointResolution /= 1609.3472;\n            }\n        }\n        else {\n            assert(false, 33); // Invalid units\n        }\n        var i = 3 * Math.floor(Math.log(minWidth * pointResolution) / Math.log(10));\n        var count, width, decimalCount;\n        while (true) {\n            decimalCount = Math.floor(i / 3);\n            var decimal = Math.pow(10, decimalCount);\n            count = LEADING_DIGITS[((i % 3) + 3) % 3] * decimal;\n            width = Math.round(count / pointResolution);\n            if (isNaN(width)) {\n                this.element.style.display = 'none';\n                this.renderedVisible_ = false;\n                return;\n            }\n            else if (width >= minWidth) {\n                break;\n            }\n            ++i;\n        }\n        var html;\n        if (this.scaleBar_) {\n            html = this.createScaleBar(width, count, suffix);\n        }\n        else {\n            html = count.toFixed(decimalCount < 0 ? -decimalCount : 0) + ' ' + suffix;\n        }\n        if (this.renderedHTML_ != html) {\n            this.innerElement_.innerHTML = html;\n            this.renderedHTML_ = html;\n        }\n        if (this.renderedWidth_ != width) {\n            this.innerElement_.style.width = width + 'px';\n            this.renderedWidth_ = width;\n        }\n        if (!this.renderedVisible_) {\n            this.element.style.display = '';\n            this.renderedVisible_ = true;\n        }\n    };\n    /**\n     * @private\n     * @param {number} width The current width of the scalebar.\n     * @param {number} scale The current scale.\n     * @param {string} suffix The suffix to append to the scale text.\n     * @return {string} The stringified HTML of the scalebar.\n     */\n    ScaleLine.prototype.createScaleBar = function (width, scale, suffix) {\n        var mapScale = '1 : ' + Math.round(this.getScaleForResolution()).toLocaleString();\n        var scaleSteps = [];\n        var stepWidth = width / this.scaleBarSteps_;\n        var backgroundColor = '#ffffff';\n        for (var i = 0; i < this.scaleBarSteps_; i++) {\n            if (i === 0) {\n                // create the first marker at position 0\n                scaleSteps.push(this.createMarker('absolute', i));\n            }\n            scaleSteps.push('<div>' +\n                '<div ' +\n                'class=\"ol-scale-singlebar\" ' +\n                'style=' +\n                '\"width: ' +\n                stepWidth +\n                'px;' +\n                'background-color: ' +\n                backgroundColor +\n                ';\"' +\n                '>' +\n                '</div>' +\n                this.createMarker('relative', i) +\n                /*render text every second step, except when only 2 steps */\n                (i % 2 === 0 || this.scaleBarSteps_ === 2\n                    ? this.createStepText(i, width, false, scale, suffix)\n                    : '') +\n                '</div>');\n            if (i === this.scaleBarSteps_ - 1) {\n                {\n                    /*render text at the end */\n                }\n                scaleSteps.push(this.createStepText(i + 1, width, true, scale, suffix));\n            }\n            // switch colors of steps between black and white\n            if (backgroundColor === '#ffffff') {\n                backgroundColor = '#000000';\n            }\n            else {\n                backgroundColor = '#ffffff';\n            }\n        }\n        var scaleBarText;\n        if (this.scaleBarText_) {\n            scaleBarText =\n                '<div ' +\n                    'class=\"ol-scale-text\" ' +\n                    'style=\"width: ' +\n                    width +\n                    'px;\">' +\n                    mapScale +\n                    '</div>';\n        }\n        else {\n            scaleBarText = '';\n        }\n        var container = '<div ' +\n            'style=\"display: flex;\">' +\n            scaleBarText +\n            scaleSteps.join('') +\n            '</div>';\n        return container;\n    };\n    /**\n     * Creates a marker at given position\n     * @param {string} position The position, absolute or relative\n     * @param {number} i The iterator\n     * @return {string} The stringified div containing the marker\n     */\n    ScaleLine.prototype.createMarker = function (position, i) {\n        var top = position === 'absolute' ? 3 : -10;\n        return ('<div ' +\n            'class=\"ol-scale-step-marker\" ' +\n            'style=\"position: ' +\n            position +\n            ';' +\n            'top: ' +\n            top +\n            'px;\"' +\n            '></div>');\n    };\n    /**\n     * Creates the label for a marker marker at given position\n     * @param {number} i The iterator\n     * @param {number} width The width the scalebar will currently use\n     * @param {boolean} isLast Flag indicating if we add the last step text\n     * @param {number} scale The current scale for the whole scalebar\n     * @param {string} suffix The suffix for the scale\n     * @return {string} The stringified div containing the step text\n     */\n    ScaleLine.prototype.createStepText = function (i, width, isLast, scale, suffix) {\n        var length = i === 0 ? 0 : Math.round((scale / this.scaleBarSteps_) * i * 100) / 100;\n        var lengthString = length + (i === 0 ? '' : ' ' + suffix);\n        var margin = i === 0 ? -3 : (width / this.scaleBarSteps_) * -1;\n        var minWidth = i === 0 ? 0 : (width / this.scaleBarSteps_) * 2;\n        return ('<div ' +\n            'class=\"ol-scale-step-text\" ' +\n            'style=\"' +\n            'margin-left: ' +\n            margin +\n            'px;' +\n            'text-align: ' +\n            (i === 0 ? 'left' : 'center') +\n            '; ' +\n            'min-width: ' +\n            minWidth +\n            'px;' +\n            'left: ' +\n            (isLast ? width + 'px' : 'unset') +\n            ';\"' +\n            '>' +\n            lengthString +\n            '</div>');\n    };\n    /**\n     * Returns the appropriate scale for the given resolution and units.\n     * @return {number} The appropriate scale.\n     */\n    ScaleLine.prototype.getScaleForResolution = function () {\n        var resolution = getPointResolution(this.viewState_.projection, this.viewState_.resolution, this.viewState_.center);\n        var dpi = this.dpi_ || DEFAULT_DPI;\n        var mpu = this.viewState_.projection.getMetersPerUnit();\n        var inchesPerMeter = 1000 / 25.4;\n        return parseFloat(resolution.toString()) * mpu * inchesPerMeter * dpi;\n    };\n    /**\n     * Update the scale line element.\n     * @param {import(\"../MapEvent.js\").default} mapEvent Map event.\n     * @override\n     */\n    ScaleLine.prototype.render = function (mapEvent) {\n        var frameState = mapEvent.frameState;\n        if (!frameState) {\n            this.viewState_ = null;\n        }\n        else {\n            this.viewState_ = frameState.viewState;\n        }\n        this.updateElement_();\n    };\n    return ScaleLine;\n}(Control));\nexport default ScaleLine;\n//# sourceMappingURL=ScaleLine.js.map","/**\n * @module ol/interaction/Property\n */\n/**\n * @enum {string}\n */\nexport default {\n    ACTIVE: 'active',\n};\n//# sourceMappingURL=Property.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Interaction\n */\nimport BaseObject from '../Object.js';\nimport InteractionProperty from './Property.js';\nimport { easeOut, linear } from '../easing.js';\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active', Return>} InteractionOnSignature\n */\n/**\n * Object literal with config options for interactions.\n * @typedef {Object} InteractionOptions\n * @property {function(import(\"../MapBrowserEvent.js\").default):boolean} handleEvent\n * Method called by the map to notify the interaction that a browser event was\n * dispatched to the map. If the function returns a falsy value, propagation of\n * the event to other interactions in the map's interactions chain will be\n * prevented (this includes functions with no explicit return). The interactions\n * are traversed in reverse order of the interactions collection of the map.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * User actions that change the state of the map. Some are similar to controls,\n * but are not associated with a DOM element.\n * For example, {@link module:ol/interaction/KeyboardZoom~KeyboardZoom} is\n * functionally the same as {@link module:ol/control/Zoom~Zoom}, but triggered\n * by a keyboard event not a button element event.\n * Although interactions do not have a DOM element, some of them do render\n * vectors and so are visible on the screen.\n * @api\n */\nvar Interaction = /** @class */ (function (_super) {\n    __extends(Interaction, _super);\n    /**\n     * @param {InteractionOptions} [opt_options] Options.\n     */\n    function Interaction(opt_options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {InteractionOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {InteractionOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {InteractionOnSignature<void>}\n         */\n        _this.un;\n        if (opt_options && opt_options.handleEvent) {\n            _this.handleEvent = opt_options.handleEvent;\n        }\n        /**\n         * @private\n         * @type {import(\"../PluggableMap.js\").default}\n         */\n        _this.map_ = null;\n        _this.setActive(true);\n        return _this;\n    }\n    /**\n     * Return whether the interaction is currently active.\n     * @return {boolean} `true` if the interaction is active, `false` otherwise.\n     * @observable\n     * @api\n     */\n    Interaction.prototype.getActive = function () {\n        return /** @type {boolean} */ (this.get(InteractionProperty.ACTIVE));\n    };\n    /**\n     * Get the map associated with this interaction.\n     * @return {import(\"../PluggableMap.js\").default} Map.\n     * @api\n     */\n    Interaction.prototype.getMap = function () {\n        return this.map_;\n    };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event}.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @api\n     */\n    Interaction.prototype.handleEvent = function (mapBrowserEvent) {\n        return true;\n    };\n    /**\n     * Activate or deactivate the interaction.\n     * @param {boolean} active Active.\n     * @observable\n     * @api\n     */\n    Interaction.prototype.setActive = function (active) {\n        this.set(InteractionProperty.ACTIVE, active);\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Interaction.prototype.setMap = function (map) {\n        this.map_ = map;\n    };\n    return Interaction;\n}(BaseObject));\n/**\n * @param {import(\"../View.js\").default} view View.\n * @param {import(\"../coordinate.js\").Coordinate} delta Delta.\n * @param {number} [opt_duration] Duration.\n */\nexport function pan(view, delta, opt_duration) {\n    var currentCenter = view.getCenterInternal();\n    if (currentCenter) {\n        var center = [currentCenter[0] + delta[0], currentCenter[1] + delta[1]];\n        view.animateInternal({\n            duration: opt_duration !== undefined ? opt_duration : 250,\n            easing: linear,\n            center: view.getConstrainedCenter(center),\n        });\n    }\n}\n/**\n * @param {import(\"../View.js\").default} view View.\n * @param {number} delta Delta from previous zoom level.\n * @param {import(\"../coordinate.js\").Coordinate} [opt_anchor] Anchor coordinate in the user projection.\n * @param {number} [opt_duration] Duration.\n */\nexport function zoomByDelta(view, delta, opt_anchor, opt_duration) {\n    var currentZoom = view.getZoom();\n    if (currentZoom === undefined) {\n        return;\n    }\n    var newZoom = view.getConstrainedZoom(currentZoom + delta);\n    var newResolution = view.getResolutionForZoom(newZoom);\n    if (view.getAnimating()) {\n        view.cancelAnimations();\n    }\n    view.animate({\n        resolution: newResolution,\n        anchor: opt_anchor,\n        duration: opt_duration !== undefined ? opt_duration : 250,\n        easing: easeOut,\n    });\n}\nexport default Interaction;\n//# sourceMappingURL=Interaction.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DoubleClickZoom\n */\nimport Interaction, { zoomByDelta } from './Interaction.js';\nimport MapBrowserEventType from '../MapBrowserEventType.js';\n/**\n * @typedef {Object} Options\n * @property {number} [duration=250] Animation duration in milliseconds.\n * @property {number} [delta=1] The zoom delta applied on each double click.\n */\n/**\n * @classdesc\n * Allows the user to zoom by double-clicking on the map.\n * @api\n */\nvar DoubleClickZoom = /** @class */ (function (_super) {\n    __extends(DoubleClickZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DoubleClickZoom(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.delta_ = options.delta ? options.delta : 1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        return _this;\n    }\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} (if it was a\n     * doubleclick) and eventually zooms the map.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     */\n    DoubleClickZoom.prototype.handleEvent = function (mapBrowserEvent) {\n        var stopEvent = false;\n        if (mapBrowserEvent.type == MapBrowserEventType.DBLCLICK) {\n            var browserEvent = /** @type {MouseEvent} */ (mapBrowserEvent.originalEvent);\n            var map = mapBrowserEvent.map;\n            var anchor = mapBrowserEvent.coordinate;\n            var delta = browserEvent.shiftKey ? -this.delta_ : this.delta_;\n            var view = map.getView();\n            zoomByDelta(view, delta, anchor, this.duration_);\n            browserEvent.preventDefault();\n            stopEvent = true;\n        }\n        return !stopEvent;\n    };\n    return DoubleClickZoom;\n}(Interaction));\nexport default DoubleClickZoom;\n//# sourceMappingURL=DoubleClickZoom.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Pointer\n */\nimport Interaction from './Interaction.js';\nimport MapBrowserEventType from '../MapBrowserEventType.js';\nimport { getValues } from '../obj.js';\n/**\n * @typedef {Object} Options\n * @property {function(import(\"../MapBrowserEvent.js\").default):boolean} [handleDownEvent]\n * Function handling \"down\" events. If the function returns `true` then a drag\n * sequence is started.\n * @property {function(import(\"../MapBrowserEvent.js\").default):void} [handleDragEvent]\n * Function handling \"drag\" events. This function is called on \"move\" events\n * during a drag sequence.\n * @property {function(import(\"../MapBrowserEvent.js\").default):boolean} [handleEvent]\n * Method called by the map to notify the interaction that a browser event was\n * dispatched to the map. The function may return `false` to prevent the\n * propagation of the event to other interactions in the map's interactions\n * chain.\n * @property {function(import(\"../MapBrowserEvent.js\").default):void} [handleMoveEvent]\n * Function handling \"move\" events. This function is called on \"move\" events.\n * This functions is also called during a drag sequence, so during a drag\n * sequence both the `handleDragEvent` function and this function are called.\n * If `handleDownEvent` is defined and it returns true this function will not\n * be called during a drag sequence.\n * @property {function(import(\"../MapBrowserEvent.js\").default):boolean} [handleUpEvent]\n *  Function handling \"up\" events. If the function returns `false` then the\n * current drag sequence is stopped.\n * @property {function(boolean):boolean} [stopDown]\n * Should the down event be propagated to other interactions, or should be\n * stopped?\n */\n/**\n * @classdesc\n * Base class that calls user-defined functions on `down`, `move` and `up`\n * events. This class also manages \"drag sequences\".\n *\n * When the `handleDownEvent` user function returns `true` a drag sequence is\n * started. During a drag sequence the `handleDragEvent` user function is\n * called on `move` events. The drag sequence ends when the `handleUpEvent`\n * user function is called and returns `false`.\n * @api\n */\nvar PointerInteraction = /** @class */ (function (_super) {\n    __extends(PointerInteraction, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function PointerInteraction(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, \n        /** @type {import(\"./Interaction.js\").InteractionOptions} */ (options)) || this;\n        if (options.handleDownEvent) {\n            _this.handleDownEvent = options.handleDownEvent;\n        }\n        if (options.handleDragEvent) {\n            _this.handleDragEvent = options.handleDragEvent;\n        }\n        if (options.handleMoveEvent) {\n            _this.handleMoveEvent = options.handleMoveEvent;\n        }\n        if (options.handleUpEvent) {\n            _this.handleUpEvent = options.handleUpEvent;\n        }\n        if (options.stopDown) {\n            _this.stopDown = options.stopDown;\n        }\n        /**\n         * @type {boolean}\n         * @protected\n         */\n        _this.handlingDownUpSequence = false;\n        /**\n         * @type {!Object<string, PointerEvent>}\n         * @private\n         */\n        _this.trackedPointers_ = {};\n        /**\n         * @type {Array<PointerEvent>}\n         * @protected\n         */\n        _this.targetPointers = [];\n        return _this;\n    }\n    /**\n     * Returns the current number of pointers involved in the interaction,\n     * e.g. `2` when two fingers are used.\n     * @return {number} The number of pointers.\n     * @api\n     */\n    PointerInteraction.prototype.getPointerCount = function () {\n        return this.targetPointers.length;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     * @protected\n     */\n    PointerInteraction.prototype.handleDownEvent = function (mapBrowserEvent) {\n        return false;\n    };\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @protected\n     */\n    PointerInteraction.prototype.handleDragEvent = function (mapBrowserEvent) { };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} and may call into\n     * other functions, if event sequences like e.g. 'drag' or 'down-up' etc. are\n     * detected.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @api\n     */\n    PointerInteraction.prototype.handleEvent = function (mapBrowserEvent) {\n        if (!mapBrowserEvent.originalEvent) {\n            return true;\n        }\n        var stopEvent = false;\n        this.updateTrackedPointers_(mapBrowserEvent);\n        if (this.handlingDownUpSequence) {\n            if (mapBrowserEvent.type == MapBrowserEventType.POINTERDRAG) {\n                this.handleDragEvent(mapBrowserEvent);\n                // prevent page scrolling during dragging\n                mapBrowserEvent.originalEvent.preventDefault();\n            }\n            else if (mapBrowserEvent.type == MapBrowserEventType.POINTERUP) {\n                var handledUp = this.handleUpEvent(mapBrowserEvent);\n                this.handlingDownUpSequence =\n                    handledUp && this.targetPointers.length > 0;\n            }\n        }\n        else {\n            if (mapBrowserEvent.type == MapBrowserEventType.POINTERDOWN) {\n                var handled = this.handleDownEvent(mapBrowserEvent);\n                this.handlingDownUpSequence = handled;\n                stopEvent = this.stopDown(handled);\n            }\n            else if (mapBrowserEvent.type == MapBrowserEventType.POINTERMOVE) {\n                this.handleMoveEvent(mapBrowserEvent);\n            }\n        }\n        return !stopEvent;\n    };\n    /**\n     * Handle pointer move events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @protected\n     */\n    PointerInteraction.prototype.handleMoveEvent = function (mapBrowserEvent) { };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     * @protected\n     */\n    PointerInteraction.prototype.handleUpEvent = function (mapBrowserEvent) {\n        return false;\n    };\n    /**\n     * This function is used to determine if \"down\" events should be propagated\n     * to other interactions or should be stopped.\n     * @param {boolean} handled Was the event handled by the interaction?\n     * @return {boolean} Should the `down` event be stopped?\n     */\n    PointerInteraction.prototype.stopDown = function (handled) {\n        return handled;\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @private\n     */\n    PointerInteraction.prototype.updateTrackedPointers_ = function (mapBrowserEvent) {\n        if (isPointerDraggingEvent(mapBrowserEvent)) {\n            var event_1 = mapBrowserEvent.originalEvent;\n            var id = event_1.pointerId.toString();\n            if (mapBrowserEvent.type == MapBrowserEventType.POINTERUP) {\n                delete this.trackedPointers_[id];\n            }\n            else if (mapBrowserEvent.type == MapBrowserEventType.POINTERDOWN) {\n                this.trackedPointers_[id] = event_1;\n            }\n            else if (id in this.trackedPointers_) {\n                // update only when there was a pointerdown event for this pointer\n                this.trackedPointers_[id] = event_1;\n            }\n            this.targetPointers = getValues(this.trackedPointers_);\n        }\n    };\n    return PointerInteraction;\n}(Interaction));\n/**\n * @param {Array<PointerEvent>} pointerEvents List of events.\n * @return {import(\"../pixel.js\").Pixel} Centroid pixel.\n */\nexport function centroid(pointerEvents) {\n    var length = pointerEvents.length;\n    var clientX = 0;\n    var clientY = 0;\n    for (var i = 0; i < length; i++) {\n        clientX += pointerEvents[i].clientX;\n        clientY += pointerEvents[i].clientY;\n    }\n    return [clientX / length, clientY / length];\n}\n/**\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n * @return {boolean} Whether the event is a pointerdown, pointerdrag\n *     or pointerup event.\n */\nfunction isPointerDraggingEvent(mapBrowserEvent) {\n    var type = mapBrowserEvent.type;\n    return (type === MapBrowserEventType.POINTERDOWN ||\n        type === MapBrowserEventType.POINTERDRAG ||\n        type === MapBrowserEventType.POINTERUP);\n}\nexport default PointerInteraction;\n//# sourceMappingURL=Pointer.js.map","/**\n * @module ol/events/condition\n */\nimport MapBrowserEventType from '../MapBrowserEventType.js';\nimport { FALSE, TRUE } from '../functions.js';\nimport { MAC, WEBKIT } from '../has.js';\nimport { assert } from '../asserts.js';\n/**\n * A function that takes an {@link module:ol/MapBrowserEvent} and returns a\n * `{boolean}`. If the condition is met, true should be returned.\n *\n * @typedef {function(this: ?, import(\"../MapBrowserEvent.js\").default): boolean} Condition\n */\n/**\n * Creates a condition function that passes when all provided conditions pass.\n * @param {...Condition} var_args Conditions to check.\n * @return {Condition} Condition function.\n */\nexport function all(var_args) {\n    var conditions = arguments;\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     * @return {boolean} All conditions passed.\n     */\n    return function (event) {\n        var pass = true;\n        for (var i = 0, ii = conditions.length; i < ii; ++i) {\n            pass = pass && conditions[i](event);\n            if (!pass) {\n                break;\n            }\n        }\n        return pass;\n    };\n}\n/**\n * Return `true` if only the alt-key is pressed, `false` otherwise (e.g. when\n * additionally the shift-key is pressed).\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if only the alt key is pressed.\n * @api\n */\nexport var altKeyOnly = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    return (originalEvent.altKey &&\n        !(originalEvent.metaKey || originalEvent.ctrlKey) &&\n        !originalEvent.shiftKey);\n};\n/**\n * Return `true` if only the alt-key and shift-key is pressed, `false` otherwise\n * (e.g. when additionally the platform-modifier-key is pressed).\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if only the alt and shift keys are pressed.\n * @api\n */\nexport var altShiftKeysOnly = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    return (originalEvent.altKey &&\n        !(originalEvent.metaKey || originalEvent.ctrlKey) &&\n        originalEvent.shiftKey);\n};\n/**\n * Return `true` if the map has the focus. This condition requires a map target\n * element with a `tabindex` attribute, e.g. `<div id=\"map\" tabindex=\"1\">`.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} event Map browser event.\n * @return {boolean} The map has the focus.\n * @api\n */\nexport var focus = function (event) {\n    var targetElement = event.map.getTargetElement();\n    var activeElement = event.map.getOwnerDocument().activeElement;\n    return targetElement.contains(activeElement);\n};\n/**\n * Return `true` if the map has the focus or no 'tabindex' attribute set.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} event Map browser event.\n * @return {boolean} The map container has the focus or no 'tabindex' attribute.\n */\nexport var focusWithTabindex = function (event) {\n    return event.map.getTargetElement().hasAttribute('tabindex')\n        ? focus(event)\n        : true;\n};\n/**\n * Return always true.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True.\n * @api\n */\nexport var always = TRUE;\n/**\n * Return `true` if the event is a `click` event, `false` otherwise.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event is a map `click` event.\n * @api\n */\nexport var click = function (mapBrowserEvent) {\n    return mapBrowserEvent.type == MapBrowserEventType.CLICK;\n};\n/**\n * Return `true` if the event has an \"action\"-producing mouse button.\n *\n * By definition, this includes left-click on windows/linux, and left-click\n * without the ctrl key on Macs.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} The result.\n */\nexport var mouseActionButton = function (mapBrowserEvent) {\n    var originalEvent = /** @type {MouseEvent} */ (mapBrowserEvent.originalEvent);\n    return originalEvent.button == 0 && !(WEBKIT && MAC && originalEvent.ctrlKey);\n};\n/**\n * Return always false.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} False.\n * @api\n */\nexport var never = FALSE;\n/**\n * Return `true` if the browser event is a `pointermove` event, `false`\n * otherwise.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the browser event is a `pointermove` event.\n * @api\n */\nexport var pointerMove = function (mapBrowserEvent) {\n    return mapBrowserEvent.type == 'pointermove';\n};\n/**\n * Return `true` if the event is a map `singleclick` event, `false` otherwise.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event is a map `singleclick` event.\n * @api\n */\nexport var singleClick = function (mapBrowserEvent) {\n    return mapBrowserEvent.type == MapBrowserEventType.SINGLECLICK;\n};\n/**\n * Return `true` if the event is a map `dblclick` event, `false` otherwise.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event is a map `dblclick` event.\n * @api\n */\nexport var doubleClick = function (mapBrowserEvent) {\n    return mapBrowserEvent.type == MapBrowserEventType.DBLCLICK;\n};\n/**\n * Return `true` if no modifier key (alt-, shift- or platform-modifier-key) is\n * pressed.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True only if there no modifier keys are pressed.\n * @api\n */\nexport var noModifierKeys = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    return (!originalEvent.altKey &&\n        !(originalEvent.metaKey || originalEvent.ctrlKey) &&\n        !originalEvent.shiftKey);\n};\n/**\n * Return `true` if only the platform-modifier-key (the meta-key on Mac,\n * ctrl-key otherwise) is pressed, `false` otherwise (e.g. when additionally\n * the shift-key is pressed).\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if only the platform modifier key is pressed.\n * @api\n */\nexport var platformModifierKeyOnly = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    return (!originalEvent.altKey &&\n        (MAC ? originalEvent.metaKey : originalEvent.ctrlKey) &&\n        !originalEvent.shiftKey);\n};\n/**\n * Return `true` if only the shift-key is pressed, `false` otherwise (e.g. when\n * additionally the alt-key is pressed).\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if only the shift key is pressed.\n * @api\n */\nexport var shiftKeyOnly = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    return (!originalEvent.altKey &&\n        !(originalEvent.metaKey || originalEvent.ctrlKey) &&\n        originalEvent.shiftKey);\n};\n/**\n * Return `true` if the target element is not editable, i.e. not a `<input>`-,\n * `<select>`- or `<textarea>`-element, `false` otherwise.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True only if the target element is not editable.\n * @api\n */\nexport var targetNotEditable = function (mapBrowserEvent) {\n    var originalEvent = /** @type {KeyboardEvent|MouseEvent|TouchEvent} */ (mapBrowserEvent.originalEvent);\n    var tagName = /** @type {Element} */ (originalEvent.target).tagName;\n    return tagName !== 'INPUT' && tagName !== 'SELECT' && tagName !== 'TEXTAREA';\n};\n/**\n * Return `true` if the event originates from a mouse device.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event originates from a mouse device.\n * @api\n */\nexport var mouseOnly = function (mapBrowserEvent) {\n    var pointerEvent = /** @type {import(\"../MapBrowserEvent\").default} */ (mapBrowserEvent).originalEvent;\n    assert(pointerEvent !== undefined, 56); // mapBrowserEvent must originate from a pointer event\n    // see https://www.w3.org/TR/pointerevents/#widl-PointerEvent-pointerType\n    return pointerEvent.pointerType == 'mouse';\n};\n/**\n * Return `true` if the event originates from a touchable device.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event originates from a touchable device.\n * @api\n */\nexport var touchOnly = function (mapBrowserEvent) {\n    var pointerEvt = /** @type {import(\"../MapBrowserEvent\").default} */ (mapBrowserEvent).originalEvent;\n    assert(pointerEvt !== undefined, 56); // mapBrowserEvent must originate from a pointer event\n    // see https://www.w3.org/TR/pointerevents/#widl-PointerEvent-pointerType\n    return pointerEvt.pointerType === 'touch';\n};\n/**\n * Return `true` if the event originates from a digital pen.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event originates from a digital pen.\n * @api\n */\nexport var penOnly = function (mapBrowserEvent) {\n    var pointerEvt = /** @type {import(\"../MapBrowserEvent\").default} */ (mapBrowserEvent).originalEvent;\n    assert(pointerEvt !== undefined, 56); // mapBrowserEvent must originate from a pointer event\n    // see https://www.w3.org/TR/pointerevents/#widl-PointerEvent-pointerType\n    return pointerEvt.pointerType === 'pen';\n};\n/**\n * Return `true` if the event originates from a primary pointer in\n * contact with the surface or if the left mouse button is pressed.\n * See https://www.w3.org/TR/pointerevents/#button-states.\n *\n * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n * @return {boolean} True if the event originates from a primary pointer.\n * @api\n */\nexport var primaryAction = function (mapBrowserEvent) {\n    var pointerEvent = /** @type {import(\"../MapBrowserEvent\").default} */ (mapBrowserEvent).originalEvent;\n    assert(pointerEvent !== undefined, 56); // mapBrowserEvent must originate from a pointer event\n    return pointerEvent.isPrimary && pointerEvent.button === 0;\n};\n//# sourceMappingURL=condition.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DragPan\n */\nimport PointerInteraction, { centroid as centroidFromPointers, } from './Pointer.js';\nimport { FALSE } from '../functions.js';\nimport { all, focusWithTabindex, noModifierKeys, primaryAction, } from '../events/condition.js';\nimport { easeOut } from '../easing.js';\nimport { rotate as rotateCoordinate, scale as scaleCoordinate, } from '../coordinate.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a boolean\n * to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.noModifierKeys} and {@link module:ol/events/condition.primaryAction}.\n * @property {boolean} [onFocusOnly=false] When the map's target has a `tabindex` attribute set,\n * the interaction will only handle events when the map has the focus.\n * @property {import(\"../Kinetic.js\").default} [kinetic] Kinetic inertia to apply to the pan.\n */\n/**\n * @classdesc\n * Allows the user to pan the map by dragging the map.\n * @api\n */\nvar DragPan = /** @class */ (function (_super) {\n    __extends(DragPan, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragPan(opt_options) {\n        var _this = _super.call(this, {\n            stopDown: FALSE,\n        }) || this;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @private\n         * @type {import(\"../Kinetic.js\").default|undefined}\n         */\n        _this.kinetic_ = options.kinetic;\n        /**\n         * @type {import(\"../pixel.js\").Pixel}\n         */\n        _this.lastCentroid = null;\n        /**\n         * @type {number}\n         */\n        _this.lastPointersCount_;\n        /**\n         * @type {boolean}\n         */\n        _this.panning_ = false;\n        var condition = options.condition\n            ? options.condition\n            : all(noModifierKeys, primaryAction);\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.onFocusOnly\n            ? all(focusWithTabindex, condition)\n            : condition;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.noKinetic_ = false;\n        return _this;\n    }\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    DragPan.prototype.handleDragEvent = function (mapBrowserEvent) {\n        if (!this.panning_) {\n            this.panning_ = true;\n            this.getMap().getView().beginInteraction();\n        }\n        var targetPointers = this.targetPointers;\n        var centroid = centroidFromPointers(targetPointers);\n        if (targetPointers.length == this.lastPointersCount_) {\n            if (this.kinetic_) {\n                this.kinetic_.update(centroid[0], centroid[1]);\n            }\n            if (this.lastCentroid) {\n                var delta = [\n                    this.lastCentroid[0] - centroid[0],\n                    centroid[1] - this.lastCentroid[1],\n                ];\n                var map = mapBrowserEvent.map;\n                var view = map.getView();\n                scaleCoordinate(delta, view.getResolution());\n                rotateCoordinate(delta, view.getRotation());\n                view.adjustCenterInternal(delta);\n            }\n        }\n        else if (this.kinetic_) {\n            // reset so we don't overestimate the kinetic energy after\n            // after one finger down, tiny drag, second finger down\n            this.kinetic_.begin();\n        }\n        this.lastCentroid = centroid;\n        this.lastPointersCount_ = targetPointers.length;\n        mapBrowserEvent.originalEvent.preventDefault();\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragPan.prototype.handleUpEvent = function (mapBrowserEvent) {\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        if (this.targetPointers.length === 0) {\n            if (!this.noKinetic_ && this.kinetic_ && this.kinetic_.end()) {\n                var distance = this.kinetic_.getDistance();\n                var angle = this.kinetic_.getAngle();\n                var center = view.getCenterInternal();\n                var centerpx = map.getPixelFromCoordinateInternal(center);\n                var dest = map.getCoordinateFromPixelInternal([\n                    centerpx[0] - distance * Math.cos(angle),\n                    centerpx[1] - distance * Math.sin(angle),\n                ]);\n                view.animateInternal({\n                    center: view.getConstrainedCenter(dest),\n                    duration: 500,\n                    easing: easeOut,\n                });\n            }\n            if (this.panning_) {\n                this.panning_ = false;\n                view.endInteraction();\n            }\n            return false;\n        }\n        else {\n            if (this.kinetic_) {\n                // reset so we don't overestimate the kinetic energy after\n                // after one finger up, tiny drag, second finger up\n                this.kinetic_.begin();\n            }\n            this.lastCentroid = null;\n            return true;\n        }\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragPan.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (this.targetPointers.length > 0 && this.condition_(mapBrowserEvent)) {\n            var map = mapBrowserEvent.map;\n            var view = map.getView();\n            this.lastCentroid = null;\n            // stop any current animation\n            if (view.getAnimating()) {\n                view.cancelAnimations();\n            }\n            if (this.kinetic_) {\n                this.kinetic_.begin();\n            }\n            // No kinetic as soon as more than one pointer on the screen is\n            // detected. This is to prevent nasty pans after pinch.\n            this.noKinetic_ = this.targetPointers.length > 1;\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    return DragPan;\n}(PointerInteraction));\nexport default DragPan;\n//# sourceMappingURL=DragPan.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DragRotate\n */\nimport PointerInteraction from './Pointer.js';\nimport { FALSE } from '../functions.js';\nimport { altShiftKeysOnly, mouseActionButton, mouseOnly, } from '../events/condition.js';\nimport { disable } from '../rotationconstraint.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that takes an\n * {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a boolean\n * to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.altShiftKeysOnly}.\n * @property {number} [duration=250] Animation duration in milliseconds.\n */\n/**\n * @classdesc\n * Allows the user to rotate the map by clicking and dragging on the map,\n * normally combined with an {@link module:ol/events/condition} that limits\n * it to when the alt and shift keys are held down.\n *\n * This interaction is only supported for mouse devices.\n * @api\n */\nvar DragRotate = /** @class */ (function (_super) {\n    __extends(DragRotate, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragRotate(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            stopDown: FALSE,\n        }) || this;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : altShiftKeysOnly;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.lastAngle_ = undefined;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        return _this;\n    }\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    DragRotate.prototype.handleDragEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return;\n        }\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        if (view.getConstraints().rotation === disable) {\n            return;\n        }\n        var size = map.getSize();\n        var offset = mapBrowserEvent.pixel;\n        var theta = Math.atan2(size[1] / 2 - offset[1], offset[0] - size[0] / 2);\n        if (this.lastAngle_ !== undefined) {\n            var delta = theta - this.lastAngle_;\n            view.adjustRotationInternal(-delta);\n        }\n        this.lastAngle_ = theta;\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragRotate.prototype.handleUpEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return true;\n        }\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        view.endInteraction(this.duration_);\n        return false;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragRotate.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return false;\n        }\n        if (mouseActionButton(mapBrowserEvent) &&\n            this.condition_(mapBrowserEvent)) {\n            var map = mapBrowserEvent.map;\n            map.getView().beginInteraction();\n            this.lastAngle_ = undefined;\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    return DragRotate;\n}(PointerInteraction));\nexport default DragRotate;\n//# sourceMappingURL=DragRotate.js.map","/**\n * @module ol/render/Box\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport Disposable from '../Disposable.js';\nimport Polygon from '../geom/Polygon.js';\nvar RenderBox = /** @class */ (function (_super) {\n    __extends(RenderBox, _super);\n    /**\n     * @param {string} className CSS class name.\n     */\n    function RenderBox(className) {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {import(\"../geom/Polygon.js\").default}\n         * @private\n         */\n        _this.geometry_ = null;\n        /**\n         * @type {HTMLDivElement}\n         * @private\n         */\n        _this.element_ = document.createElement('div');\n        _this.element_.style.position = 'absolute';\n        _this.element_.style.pointerEvents = 'auto';\n        _this.element_.className = 'ol-box ' + className;\n        /**\n         * @private\n         * @type {import(\"../PluggableMap.js\").default}\n         */\n        _this.map_ = null;\n        /**\n         * @private\n         * @type {import(\"../pixel.js\").Pixel}\n         */\n        _this.startPixel_ = null;\n        /**\n         * @private\n         * @type {import(\"../pixel.js\").Pixel}\n         */\n        _this.endPixel_ = null;\n        return _this;\n    }\n    /**\n     * Clean up.\n     */\n    RenderBox.prototype.disposeInternal = function () {\n        this.setMap(null);\n    };\n    /**\n     * @private\n     */\n    RenderBox.prototype.render_ = function () {\n        var startPixel = this.startPixel_;\n        var endPixel = this.endPixel_;\n        var px = 'px';\n        var style = this.element_.style;\n        style.left = Math.min(startPixel[0], endPixel[0]) + px;\n        style.top = Math.min(startPixel[1], endPixel[1]) + px;\n        style.width = Math.abs(endPixel[0] - startPixel[0]) + px;\n        style.height = Math.abs(endPixel[1] - startPixel[1]) + px;\n    };\n    /**\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    RenderBox.prototype.setMap = function (map) {\n        if (this.map_) {\n            this.map_.getOverlayContainer().removeChild(this.element_);\n            var style = this.element_.style;\n            style.left = 'inherit';\n            style.top = 'inherit';\n            style.width = 'inherit';\n            style.height = 'inherit';\n        }\n        this.map_ = map;\n        if (this.map_) {\n            this.map_.getOverlayContainer().appendChild(this.element_);\n        }\n    };\n    /**\n     * @param {import(\"../pixel.js\").Pixel} startPixel Start pixel.\n     * @param {import(\"../pixel.js\").Pixel} endPixel End pixel.\n     */\n    RenderBox.prototype.setPixels = function (startPixel, endPixel) {\n        this.startPixel_ = startPixel;\n        this.endPixel_ = endPixel;\n        this.createOrUpdateGeometry();\n        this.render_();\n    };\n    /**\n     * Creates or updates the cached geometry.\n     */\n    RenderBox.prototype.createOrUpdateGeometry = function () {\n        var startPixel = this.startPixel_;\n        var endPixel = this.endPixel_;\n        var pixels = [\n            startPixel,\n            [startPixel[0], endPixel[1]],\n            endPixel,\n            [endPixel[0], startPixel[1]],\n        ];\n        var coordinates = pixels.map(this.map_.getCoordinateFromPixelInternal, this.map_);\n        // close the polygon\n        coordinates[4] = coordinates[0].slice();\n        if (!this.geometry_) {\n            this.geometry_ = new Polygon([coordinates]);\n        }\n        else {\n            this.geometry_.setCoordinates([coordinates]);\n        }\n    };\n    /**\n     * @return {import(\"../geom/Polygon.js\").default} Geometry.\n     */\n    RenderBox.prototype.getGeometry = function () {\n        return this.geometry_;\n    };\n    return RenderBox;\n}(Disposable));\nexport default RenderBox;\n//# sourceMappingURL=Box.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DragBox\n */\n// FIXME draw drag box\nimport Event from '../events/Event.js';\nimport PointerInteraction from './Pointer.js';\nimport RenderBox from '../render/Box.js';\nimport { mouseActionButton } from '../events/condition.js';\n/**\n * A function that takes a {@link module:ol/MapBrowserEvent} and two\n * {@link module:ol/pixel~Pixel}s and returns a `{boolean}`. If the condition is met,\n * true should be returned.\n * @typedef {function(this: ?, import(\"../MapBrowserEvent.js\").default, import(\"../pixel.js\").Pixel, import(\"../pixel.js\").Pixel):boolean} EndCondition\n */\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-dragbox'] CSS class name for styling the box.\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a boolean\n * to indicate whether that event should be handled.\n * Default is {@link ol/events/condition~mouseActionButton}.\n * @property {number} [minArea=64] The minimum area of the box in pixel, this value is used by the default\n * `boxEndCondition` function.\n * @property {EndCondition} [boxEndCondition] A function that takes a {@link module:ol/MapBrowserEvent~MapBrowserEvent} and two\n * {@link module:ol/pixel~Pixel}s to indicate whether a `boxend` event should be fired.\n * Default is `true` if the area of the box is bigger than the `minArea` option.\n * @property {function(this:DragBox, import(\"../MapBrowserEvent.js\").default):void} [onBoxEnd] Code to execute just\n * before `boxend` is fired.\n */\n/**\n * @enum {string}\n */\nvar DragBoxEventType = {\n    /**\n     * Triggered upon drag box start.\n     * @event DragBoxEvent#boxstart\n     * @api\n     */\n    BOXSTART: 'boxstart',\n    /**\n     * Triggered on drag when box is active.\n     * @event DragBoxEvent#boxdrag\n     * @api\n     */\n    BOXDRAG: 'boxdrag',\n    /**\n     * Triggered upon drag box end.\n     * @event DragBoxEvent#boxend\n     * @api\n     */\n    BOXEND: 'boxend',\n    /**\n     * Triggered upon drag box canceled.\n     * @event DragBoxEvent#boxcancel\n     * @api\n     */\n    BOXCANCEL: 'boxcancel',\n};\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/DragBox~DragBox} instances are instances of\n * this type.\n */\nvar DragBoxEvent = /** @class */ (function (_super) {\n    __extends(DragBoxEvent, _super);\n    /**\n     * @param {string} type The event type.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate The event coordinate.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Originating event.\n     */\n    function DragBoxEvent(type, coordinate, mapBrowserEvent) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The coordinate of the drag event.\n         * @const\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @api\n         */\n        _this.coordinate = coordinate;\n        /**\n         * @const\n         * @type {import(\"../MapBrowserEvent.js\").default}\n         * @api\n         */\n        _this.mapBrowserEvent = mapBrowserEvent;\n        return _this;\n    }\n    return DragBoxEvent;\n}(Event));\nexport { DragBoxEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'boxcancel'|'boxdrag'|'boxend'|'boxstart', DragBoxEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'boxcancel'|'boxdrag'|'boxend', Return>} DragBoxOnSignature\n */\n/**\n * @classdesc\n * Allows the user to draw a vector box by clicking and dragging on the map,\n * normally combined with an {@link module:ol/events/condition} that limits\n * it to when the shift or other key is held down. This is used, for example,\n * for zooming to a specific area of the map\n * (see {@link module:ol/interaction/DragZoom~DragZoom} and\n * {@link module:ol/interaction/DragRotateAndZoom}).\n *\n * @fires DragBoxEvent\n * @api\n */\nvar DragBox = /** @class */ (function (_super) {\n    __extends(DragBox, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragBox(opt_options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {DragBoxOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {DragBoxOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {DragBoxOnSignature<void>}\n         */\n        _this.un;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @type {import(\"../render/Box.js\").default}\n         * @private\n         */\n        _this.box_ = new RenderBox(options.className || 'ol-dragbox');\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.minArea_ = options.minArea !== undefined ? options.minArea : 64;\n        if (options.onBoxEnd) {\n            _this.onBoxEnd = options.onBoxEnd;\n        }\n        /**\n         * @type {import(\"../pixel.js\").Pixel}\n         * @private\n         */\n        _this.startPixel_ = null;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : mouseActionButton;\n        /**\n         * @private\n         * @type {EndCondition}\n         */\n        _this.boxEndCondition_ = options.boxEndCondition\n            ? options.boxEndCondition\n            : _this.defaultBoxEndCondition;\n        return _this;\n    }\n    /**\n     * The default condition for determining whether the boxend event\n     * should fire.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent The originating MapBrowserEvent\n     *     leading to the box end.\n     * @param {import(\"../pixel.js\").Pixel} startPixel The starting pixel of the box.\n     * @param {import(\"../pixel.js\").Pixel} endPixel The end pixel of the box.\n     * @return {boolean} Whether or not the boxend condition should be fired.\n     */\n    DragBox.prototype.defaultBoxEndCondition = function (mapBrowserEvent, startPixel, endPixel) {\n        var width = endPixel[0] - startPixel[0];\n        var height = endPixel[1] - startPixel[1];\n        return width * width + height * height >= this.minArea_;\n    };\n    /**\n     * Returns geometry of last drawn box.\n     * @return {import(\"../geom/Polygon.js\").default} Geometry.\n     * @api\n     */\n    DragBox.prototype.getGeometry = function () {\n        return this.box_.getGeometry();\n    };\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    DragBox.prototype.handleDragEvent = function (mapBrowserEvent) {\n        this.box_.setPixels(this.startPixel_, mapBrowserEvent.pixel);\n        this.dispatchEvent(new DragBoxEvent(DragBoxEventType.BOXDRAG, mapBrowserEvent.coordinate, mapBrowserEvent));\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragBox.prototype.handleUpEvent = function (mapBrowserEvent) {\n        this.box_.setMap(null);\n        var completeBox = this.boxEndCondition_(mapBrowserEvent, this.startPixel_, mapBrowserEvent.pixel);\n        if (completeBox) {\n            this.onBoxEnd(mapBrowserEvent);\n        }\n        this.dispatchEvent(new DragBoxEvent(completeBox ? DragBoxEventType.BOXEND : DragBoxEventType.BOXCANCEL, mapBrowserEvent.coordinate, mapBrowserEvent));\n        return false;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragBox.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (this.condition_(mapBrowserEvent)) {\n            this.startPixel_ = mapBrowserEvent.pixel;\n            this.box_.setMap(mapBrowserEvent.map);\n            this.box_.setPixels(this.startPixel_, this.startPixel_);\n            this.dispatchEvent(new DragBoxEvent(DragBoxEventType.BOXSTART, mapBrowserEvent.coordinate, mapBrowserEvent));\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    /**\n     * Function to execute just before `onboxend` is fired\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     */\n    DragBox.prototype.onBoxEnd = function (event) { };\n    return DragBox;\n}(PointerInteraction));\nexport default DragBox;\n//# sourceMappingURL=DragBox.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DragZoom\n */\nimport DragBox from './DragBox.js';\nimport { easeOut } from '../easing.js';\nimport { shiftKeyOnly } from '../events/condition.js';\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-dragzoom'] CSS class name for styling the\n * box.\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.shiftKeyOnly}.\n * @property {number} [duration=200] Animation duration in milliseconds.\n * @property {boolean} [out=false] Use interaction for zooming out.\n * @property {number} [minArea=64] The minimum area of the box in pixel, this value is used by the parent default\n * `boxEndCondition` function.\n */\n/**\n * @classdesc\n * Allows the user to zoom the map by clicking and dragging on the map,\n * normally combined with an {@link module:ol/events/condition} that limits\n * it to when a key, shift by default, is held down.\n *\n * To change the style of the box, use CSS and the `.ol-dragzoom` selector, or\n * your custom one configured with `className`.\n * @api\n */\nvar DragZoom = /** @class */ (function (_super) {\n    __extends(DragZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragZoom(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var condition = options.condition ? options.condition : shiftKeyOnly;\n        _this = _super.call(this, {\n            condition: condition,\n            className: options.className || 'ol-dragzoom',\n            minArea: options.minArea,\n        }) || this;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 200;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.out_ = options.out !== undefined ? options.out : false;\n        return _this;\n    }\n    /**\n     * Function to execute just before `onboxend` is fired\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     */\n    DragZoom.prototype.onBoxEnd = function (event) {\n        var map = this.getMap();\n        var view = /** @type {!import(\"../View.js\").default} */ (map.getView());\n        var geometry = this.getGeometry();\n        if (this.out_) {\n            var rotatedExtent = view.rotatedExtentForGeometry(geometry);\n            var resolution = view.getResolutionForExtentInternal(rotatedExtent);\n            var factor = view.getResolution() / resolution;\n            geometry = geometry.clone();\n            geometry.scale(factor * factor);\n        }\n        view.fitInternal(geometry, {\n            duration: this.duration_,\n            easing: easeOut,\n        });\n    };\n    return DragZoom;\n}(DragBox));\nexport default DragZoom;\n//# sourceMappingURL=DragZoom.js.map","/**\n * @module ol/events/KeyCode\n */\n/**\n * @enum {number}\n * @const\n */\nexport default {\n    LEFT: 37,\n    UP: 38,\n    RIGHT: 39,\n    DOWN: 40,\n};\n//# sourceMappingURL=KeyCode.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/KeyboardPan\n */\nimport EventType from '../events/EventType.js';\nimport Interaction, { pan } from './Interaction.js';\nimport KeyCode from '../events/KeyCode.js';\nimport { noModifierKeys, targetNotEditable } from '../events/condition.js';\nimport { rotate as rotateCoordinate } from '../coordinate.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. Default is\n * {@link module:ol/events/condition.noModifierKeys} and\n * {@link module:ol/events/condition.targetNotEditable}.\n * @property {number} [duration=100] Animation duration in milliseconds.\n * @property {number} [pixelDelta=128] The amount of pixels to pan on each key\n * press.\n */\n/**\n * @classdesc\n * Allows the user to pan the map using keyboard arrows.\n * Note that, although this interaction is by default included in maps,\n * the keys can only be used when browser focus is on the element to which\n * the keyboard events are attached. By default, this is the map div,\n * though you can change this with the `keyboardEventTarget` in\n * {@link module:ol/Map~Map}. `document` never loses focus but, for any other\n * element, focus will have to be on, and returned to, this element if the keys\n * are to function.\n * See also {@link module:ol/interaction/KeyboardZoom~KeyboardZoom}.\n * @api\n */\nvar KeyboardPan = /** @class */ (function (_super) {\n    __extends(KeyboardPan, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function KeyboardPan(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options || {};\n        /**\n         * @private\n         * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Browser event.\n         * @return {boolean} Combined condition result.\n         */\n        _this.defaultCondition_ = function (mapBrowserEvent) {\n            return (noModifierKeys(mapBrowserEvent) && targetNotEditable(mapBrowserEvent));\n        };\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ =\n            options.condition !== undefined\n                ? options.condition\n                : _this.defaultCondition_;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 100;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.pixelDelta_ =\n            options.pixelDelta !== undefined ? options.pixelDelta : 128;\n        return _this;\n    }\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} if it was a\n     * `KeyEvent`, and decides the direction to pan to (if an arrow key was\n     * pressed).\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @this {KeyboardPan}\n     */\n    KeyboardPan.prototype.handleEvent = function (mapBrowserEvent) {\n        var stopEvent = false;\n        if (mapBrowserEvent.type == EventType.KEYDOWN) {\n            var keyEvent = /** @type {KeyboardEvent} */ (mapBrowserEvent.originalEvent);\n            var keyCode = keyEvent.keyCode;\n            if (this.condition_(mapBrowserEvent) &&\n                (keyCode == KeyCode.DOWN ||\n                    keyCode == KeyCode.LEFT ||\n                    keyCode == KeyCode.RIGHT ||\n                    keyCode == KeyCode.UP)) {\n                var map = mapBrowserEvent.map;\n                var view = map.getView();\n                var mapUnitsDelta = view.getResolution() * this.pixelDelta_;\n                var deltaX = 0, deltaY = 0;\n                if (keyCode == KeyCode.DOWN) {\n                    deltaY = -mapUnitsDelta;\n                }\n                else if (keyCode == KeyCode.LEFT) {\n                    deltaX = -mapUnitsDelta;\n                }\n                else if (keyCode == KeyCode.RIGHT) {\n                    deltaX = mapUnitsDelta;\n                }\n                else {\n                    deltaY = mapUnitsDelta;\n                }\n                var delta = [deltaX, deltaY];\n                rotateCoordinate(delta, view.getRotation());\n                pan(view, delta, this.duration_);\n                keyEvent.preventDefault();\n                stopEvent = true;\n            }\n        }\n        return !stopEvent;\n    };\n    return KeyboardPan;\n}(Interaction));\nexport default KeyboardPan;\n//# sourceMappingURL=KeyboardPan.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/KeyboardZoom\n */\nimport EventType from '../events/EventType.js';\nimport Interaction, { zoomByDelta } from './Interaction.js';\nimport { targetNotEditable } from '../events/condition.js';\n/**\n * @typedef {Object} Options\n * @property {number} [duration=100] Animation duration in milliseconds.\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. Default is\n * {@link module:ol/events/condition.targetNotEditable}.\n * @property {number} [delta=1] The zoom level delta on each key press.\n */\n/**\n * @classdesc\n * Allows the user to zoom the map using keyboard + and -.\n * Note that, although this interaction is by default included in maps,\n * the keys can only be used when browser focus is on the element to which\n * the keyboard events are attached. By default, this is the map div,\n * though you can change this with the `keyboardEventTarget` in\n * {@link module:ol/Map~Map}. `document` never loses focus but, for any other\n * element, focus will have to be on, and returned to, this element if the keys\n * are to function.\n * See also {@link module:ol/interaction/KeyboardPan~KeyboardPan}.\n * @api\n */\nvar KeyboardZoom = /** @class */ (function (_super) {\n    __extends(KeyboardZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function KeyboardZoom(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : targetNotEditable;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.delta_ = options.delta ? options.delta : 1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 100;\n        return _this;\n    }\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} if it was a\n     * `KeyEvent`, and decides whether to zoom in or out (depending on whether the\n     * key pressed was '+' or '-').\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @this {KeyboardZoom}\n     */\n    KeyboardZoom.prototype.handleEvent = function (mapBrowserEvent) {\n        var stopEvent = false;\n        if (mapBrowserEvent.type == EventType.KEYDOWN ||\n            mapBrowserEvent.type == EventType.KEYPRESS) {\n            var keyEvent = /** @type {KeyboardEvent} */ (mapBrowserEvent.originalEvent);\n            var charCode = keyEvent.charCode;\n            if (this.condition_(mapBrowserEvent) &&\n                (charCode == '+'.charCodeAt(0) || charCode == '-'.charCodeAt(0))) {\n                var map = mapBrowserEvent.map;\n                var delta = charCode == '+'.charCodeAt(0) ? this.delta_ : -this.delta_;\n                var view = map.getView();\n                zoomByDelta(view, delta, undefined, this.duration_);\n                keyEvent.preventDefault();\n                stopEvent = true;\n            }\n        }\n        return !stopEvent;\n    };\n    return KeyboardZoom;\n}(Interaction));\nexport default KeyboardZoom;\n//# sourceMappingURL=KeyboardZoom.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/MouseWheelZoom\n */\nimport EventType from '../events/EventType.js';\nimport Interaction, { zoomByDelta } from './Interaction.js';\nimport { DEVICE_PIXEL_RATIO, FIREFOX } from '../has.js';\nimport { all, always, focusWithTabindex } from '../events/condition.js';\nimport { clamp } from '../math.js';\n/**\n * @enum {string}\n */\nexport var Mode = {\n    TRACKPAD: 'trackpad',\n    WHEEL: 'wheel',\n};\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. Default is\n * {@link module:ol/events/condition.always}.\n * @property {boolean} [onFocusOnly=false] When the map's target has a `tabindex` attribute set,\n * the interaction will only handle events when the map has the focus.\n * @property {number} [maxDelta=1] Maximum mouse wheel delta.\n * @property {number} [duration=250] Animation duration in milliseconds.\n * @property {number} [timeout=80] Mouse wheel timeout duration in milliseconds.\n * @property {boolean} [useAnchor=true] Enable zooming using the mouse's\n * location as the anchor. When set to `false`, zooming in and out will zoom to\n * the center of the screen instead of zooming on the mouse's location.\n * @property {boolean} [constrainResolution=false] If true, the mouse wheel zoom\n * event will always animate to the closest zoom level after an interaction;\n * false means intermediary zoom levels are allowed.\n */\n/**\n * @classdesc\n * Allows the user to zoom the map by scrolling the mouse wheel.\n * @api\n */\nvar MouseWheelZoom = /** @class */ (function (_super) {\n    __extends(MouseWheelZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function MouseWheelZoom(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, \n        /** @type {import(\"./Interaction.js\").InteractionOptions} */ (options)) || this;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.totalDelta_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.lastDelta_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = options.maxDelta !== undefined ? options.maxDelta : 1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.timeout_ = options.timeout !== undefined ? options.timeout : 80;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.useAnchor_ =\n            options.useAnchor !== undefined ? options.useAnchor : true;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.constrainResolution_ =\n            options.constrainResolution !== undefined\n                ? options.constrainResolution\n                : false;\n        var condition = options.condition ? options.condition : always;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.onFocusOnly\n            ? all(focusWithTabindex, condition)\n            : condition;\n        /**\n         * @private\n         * @type {?import(\"../coordinate.js\").Coordinate}\n         */\n        _this.lastAnchor_ = null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.startTime_ = undefined;\n        /**\n         * @private\n         * @type {?}\n         */\n        _this.timeoutId_;\n        /**\n         * @private\n         * @type {Mode|undefined}\n         */\n        _this.mode_ = undefined;\n        /**\n         * Trackpad events separated by this delay will be considered separate\n         * interactions.\n         * @type {number}\n         */\n        _this.trackpadEventGap_ = 400;\n        /**\n         * @type {?}\n         */\n        _this.trackpadTimeoutId_;\n        /**\n         * The number of delta values per zoom level\n         * @private\n         * @type {number}\n         */\n        _this.deltaPerZoom_ = 300;\n        return _this;\n    }\n    /**\n     * @private\n     */\n    MouseWheelZoom.prototype.endInteraction_ = function () {\n        this.trackpadTimeoutId_ = undefined;\n        var view = this.getMap().getView();\n        view.endInteraction(undefined, this.lastDelta_ ? (this.lastDelta_ > 0 ? 1 : -1) : 0, this.lastAnchor_);\n    };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} (if it was a mousewheel-event) and eventually\n     * zooms the map.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     */\n    MouseWheelZoom.prototype.handleEvent = function (mapBrowserEvent) {\n        if (!this.condition_(mapBrowserEvent)) {\n            return true;\n        }\n        var type = mapBrowserEvent.type;\n        if (type !== EventType.WHEEL) {\n            return true;\n        }\n        var map = mapBrowserEvent.map;\n        var wheelEvent = /** @type {WheelEvent} */ (mapBrowserEvent.originalEvent);\n        wheelEvent.preventDefault();\n        if (this.useAnchor_) {\n            this.lastAnchor_ = mapBrowserEvent.coordinate;\n        }\n        // Delta normalisation inspired by\n        // https://github.com/mapbox/mapbox-gl-js/blob/001c7b9/js/ui/handler/scroll_zoom.js\n        var delta;\n        if (mapBrowserEvent.type == EventType.WHEEL) {\n            delta = wheelEvent.deltaY;\n            if (FIREFOX && wheelEvent.deltaMode === WheelEvent.DOM_DELTA_PIXEL) {\n                delta /= DEVICE_PIXEL_RATIO;\n            }\n            if (wheelEvent.deltaMode === WheelEvent.DOM_DELTA_LINE) {\n                delta *= 40;\n            }\n        }\n        if (delta === 0) {\n            return false;\n        }\n        else {\n            this.lastDelta_ = delta;\n        }\n        var now = Date.now();\n        if (this.startTime_ === undefined) {\n            this.startTime_ = now;\n        }\n        if (!this.mode_ || now - this.startTime_ > this.trackpadEventGap_) {\n            this.mode_ = Math.abs(delta) < 4 ? Mode.TRACKPAD : Mode.WHEEL;\n        }\n        var view = map.getView();\n        if (this.mode_ === Mode.TRACKPAD &&\n            !(view.getConstrainResolution() || this.constrainResolution_)) {\n            if (this.trackpadTimeoutId_) {\n                clearTimeout(this.trackpadTimeoutId_);\n            }\n            else {\n                if (view.getAnimating()) {\n                    view.cancelAnimations();\n                }\n                view.beginInteraction();\n            }\n            this.trackpadTimeoutId_ = setTimeout(this.endInteraction_.bind(this), this.timeout_);\n            view.adjustZoom(-delta / this.deltaPerZoom_, this.lastAnchor_);\n            this.startTime_ = now;\n            return false;\n        }\n        this.totalDelta_ += delta;\n        var timeLeft = Math.max(this.timeout_ - (now - this.startTime_), 0);\n        clearTimeout(this.timeoutId_);\n        this.timeoutId_ = setTimeout(this.handleWheelZoom_.bind(this, map), timeLeft);\n        return false;\n    };\n    /**\n     * @private\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    MouseWheelZoom.prototype.handleWheelZoom_ = function (map) {\n        var view = map.getView();\n        if (view.getAnimating()) {\n            view.cancelAnimations();\n        }\n        var delta = -clamp(this.totalDelta_, -this.maxDelta_ * this.deltaPerZoom_, this.maxDelta_ * this.deltaPerZoom_) / this.deltaPerZoom_;\n        if (view.getConstrainResolution() || this.constrainResolution_) {\n            // view has a zoom constraint, zoom by 1\n            delta = delta ? (delta > 0 ? 1 : -1) : 0;\n        }\n        zoomByDelta(view, delta, this.lastAnchor_, this.duration_);\n        this.mode_ = undefined;\n        this.totalDelta_ = 0;\n        this.lastAnchor_ = null;\n        this.startTime_ = undefined;\n        this.timeoutId_ = undefined;\n    };\n    /**\n     * Enable or disable using the mouse's location as an anchor when zooming\n     * @param {boolean} useAnchor true to zoom to the mouse's location, false\n     * to zoom to the center of the map\n     * @api\n     */\n    MouseWheelZoom.prototype.setMouseAnchor = function (useAnchor) {\n        this.useAnchor_ = useAnchor;\n        if (!useAnchor) {\n            this.lastAnchor_ = null;\n        }\n    };\n    return MouseWheelZoom;\n}(Interaction));\nexport default MouseWheelZoom;\n//# sourceMappingURL=MouseWheelZoom.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/PinchRotate\n */\nimport PointerInteraction, { centroid as centroidFromPointers, } from './Pointer.js';\nimport { FALSE } from '../functions.js';\nimport { disable } from '../rotationconstraint.js';\n/**\n * @typedef {Object} Options\n * @property {number} [duration=250] The duration of the animation in\n * milliseconds.\n * @property {number} [threshold=0.3] Minimal angle in radians to start a rotation.\n */\n/**\n * @classdesc\n * Allows the user to rotate the map by twisting with two fingers\n * on a touch screen.\n * @api\n */\nvar PinchRotate = /** @class */ (function (_super) {\n    __extends(PinchRotate, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function PinchRotate(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var pointerOptions = /** @type {import(\"./Pointer.js\").Options} */ (options);\n        if (!pointerOptions.stopDown) {\n            pointerOptions.stopDown = FALSE;\n        }\n        _this = _super.call(this, pointerOptions) || this;\n        /**\n         * @private\n         * @type {import(\"../coordinate.js\").Coordinate}\n         */\n        _this.anchor_ = null;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.lastAngle_ = undefined;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.rotating_ = false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.rotationDelta_ = 0.0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.threshold_ = options.threshold !== undefined ? options.threshold : 0.3;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 250;\n        return _this;\n    }\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    PinchRotate.prototype.handleDragEvent = function (mapBrowserEvent) {\n        var rotationDelta = 0.0;\n        var touch0 = this.targetPointers[0];\n        var touch1 = this.targetPointers[1];\n        // angle between touches\n        var angle = Math.atan2(touch1.clientY - touch0.clientY, touch1.clientX - touch0.clientX);\n        if (this.lastAngle_ !== undefined) {\n            var delta = angle - this.lastAngle_;\n            this.rotationDelta_ += delta;\n            if (!this.rotating_ && Math.abs(this.rotationDelta_) > this.threshold_) {\n                this.rotating_ = true;\n            }\n            rotationDelta = delta;\n        }\n        this.lastAngle_ = angle;\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        if (view.getConstraints().rotation === disable) {\n            return;\n        }\n        // rotate anchor point.\n        // FIXME: should be the intersection point between the lines:\n        //     touch0,touch1 and previousTouch0,previousTouch1\n        var viewportPosition = map.getViewport().getBoundingClientRect();\n        var centroid = centroidFromPointers(this.targetPointers);\n        centroid[0] -= viewportPosition.left;\n        centroid[1] -= viewportPosition.top;\n        this.anchor_ = map.getCoordinateFromPixelInternal(centroid);\n        // rotate\n        if (this.rotating_) {\n            map.render();\n            view.adjustRotationInternal(rotationDelta, this.anchor_);\n        }\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    PinchRotate.prototype.handleUpEvent = function (mapBrowserEvent) {\n        if (this.targetPointers.length < 2) {\n            var map = mapBrowserEvent.map;\n            var view = map.getView();\n            view.endInteraction(this.duration_);\n            return false;\n        }\n        else {\n            return true;\n        }\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    PinchRotate.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (this.targetPointers.length >= 2) {\n            var map = mapBrowserEvent.map;\n            this.anchor_ = null;\n            this.lastAngle_ = undefined;\n            this.rotating_ = false;\n            this.rotationDelta_ = 0.0;\n            if (!this.handlingDownUpSequence) {\n                map.getView().beginInteraction();\n            }\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    return PinchRotate;\n}(PointerInteraction));\nexport default PinchRotate;\n//# sourceMappingURL=PinchRotate.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/PinchZoom\n */\nimport PointerInteraction, { centroid as centroidFromPointers, } from './Pointer.js';\nimport { FALSE } from '../functions.js';\n/**\n * @typedef {Object} Options\n * @property {number} [duration=400] Animation duration in milliseconds.\n */\n/**\n * @classdesc\n * Allows the user to zoom the map by pinching with two fingers\n * on a touch screen.\n * @api\n */\nvar PinchZoom = /** @class */ (function (_super) {\n    __extends(PinchZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function PinchZoom(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var pointerOptions = /** @type {import(\"./Pointer.js\").Options} */ (options);\n        if (!pointerOptions.stopDown) {\n            pointerOptions.stopDown = FALSE;\n        }\n        _this = _super.call(this, pointerOptions) || this;\n        /**\n         * @private\n         * @type {import(\"../coordinate.js\").Coordinate}\n         */\n        _this.anchor_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 400;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.lastDistance_ = undefined;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.lastScaleDelta_ = 1;\n        return _this;\n    }\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    PinchZoom.prototype.handleDragEvent = function (mapBrowserEvent) {\n        var scaleDelta = 1.0;\n        var touch0 = this.targetPointers[0];\n        var touch1 = this.targetPointers[1];\n        var dx = touch0.clientX - touch1.clientX;\n        var dy = touch0.clientY - touch1.clientY;\n        // distance between touches\n        var distance = Math.sqrt(dx * dx + dy * dy);\n        if (this.lastDistance_ !== undefined) {\n            scaleDelta = this.lastDistance_ / distance;\n        }\n        this.lastDistance_ = distance;\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        if (scaleDelta != 1.0) {\n            this.lastScaleDelta_ = scaleDelta;\n        }\n        // scale anchor point.\n        var viewportPosition = map.getViewport().getBoundingClientRect();\n        var centroid = centroidFromPointers(this.targetPointers);\n        centroid[0] -= viewportPosition.left;\n        centroid[1] -= viewportPosition.top;\n        this.anchor_ = map.getCoordinateFromPixelInternal(centroid);\n        // scale, bypass the resolution constraint\n        map.render();\n        view.adjustResolutionInternal(scaleDelta, this.anchor_);\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    PinchZoom.prototype.handleUpEvent = function (mapBrowserEvent) {\n        if (this.targetPointers.length < 2) {\n            var map = mapBrowserEvent.map;\n            var view = map.getView();\n            var direction = this.lastScaleDelta_ > 1 ? 1 : -1;\n            view.endInteraction(this.duration_, direction);\n            return false;\n        }\n        else {\n            return true;\n        }\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    PinchZoom.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (this.targetPointers.length >= 2) {\n            var map = mapBrowserEvent.map;\n            this.anchor_ = null;\n            this.lastDistance_ = undefined;\n            this.lastScaleDelta_ = 1;\n            if (!this.handlingDownUpSequence) {\n                map.getView().beginInteraction();\n            }\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    return PinchZoom;\n}(PointerInteraction));\nexport default PinchZoom;\n//# sourceMappingURL=PinchZoom.js.map","/**\n * @module ol/interaction/DragAndDrop\n */\n// FIXME should handle all geo-referenced data, not just vector data\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport Event from '../events/Event.js';\nimport EventType from '../events/EventType.js';\nimport FormatType from '../format/FormatType.js';\nimport Interaction from './Interaction.js';\nimport { TRUE } from '../functions.js';\nimport { get as getProjection } from '../proj.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {Object} Options\n * @property {Array<typeof import(\"../format/Feature.js\").default|import(\"../format/Feature.js\").default>} [formatConstructors] Format constructors\n * (and/or formats pre-constructed with options).\n * @property {import(\"../source/Vector.js\").default} [source] Optional vector source where features will be added.  If a source is provided\n * all existing features will be removed and new features will be added when\n * they are dropped on the target.  If you want to add features to a vector\n * source without removing the existing features (append only), instead of\n * providing the source option listen for the \"addfeatures\" event.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Target projection. By default, the map's view's projection is used.\n * @property {HTMLElement} [target] The element that is used as the drop target, default is the viewport element.\n */\n/**\n * @enum {string}\n */\nvar DragAndDropEventType = {\n    /**\n     * Triggered when features are added\n     * @event DragAndDropEvent#addfeatures\n     * @api\n     */\n    ADD_FEATURES: 'addfeatures',\n};\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/DragAndDrop~DragAndDrop} instances are instances\n * of this type.\n */\nvar DragAndDropEvent = /** @class */ (function (_super) {\n    __extends(DragAndDropEvent, _super);\n    /**\n     * @param {DragAndDropEventType} type Type.\n     * @param {File} file File.\n     * @param {Array<import(\"../Feature.js\").default>} [opt_features] Features.\n     * @param {import(\"../proj/Projection.js\").default} [opt_projection] Projection.\n     */\n    function DragAndDropEvent(type, file, opt_features, opt_projection) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The features parsed from dropped data.\n         * @type {Array<import(\"../Feature.js\").FeatureLike>|undefined}\n         * @api\n         */\n        _this.features = opt_features;\n        /**\n         * The dropped file.\n         * @type {File}\n         * @api\n         */\n        _this.file = file;\n        /**\n         * The feature projection.\n         * @type {import(\"../proj/Projection.js\").default|undefined}\n         * @api\n         */\n        _this.projection = opt_projection;\n        return _this;\n    }\n    return DragAndDropEvent;\n}(Event));\nexport { DragAndDropEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'addfeatures', DragAndDropEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'addfeatures', Return>} DragAndDropOnSignature\n */\n/**\n * @classdesc\n * Handles input of vector data by drag and drop.\n *\n * Note that the DragAndDrop interaction uses the TextDecoder() constructor if the supplied\n * combination of formats read both text string and ArrayBuffer sources. Older browsers such\n * as IE which do not support this will need a TextDecoder polyfill to be loaded before use.\n *\n * @api\n *\n * @fires DragAndDropEvent\n */\nvar DragAndDrop = /** @class */ (function (_super) {\n    __extends(DragAndDrop, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragAndDrop(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, {\n            handleEvent: TRUE,\n        }) || this;\n        /***\n         * @type {DragAndDropOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {DragAndDropOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {DragAndDropOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.readAsBuffer_ = false;\n        /**\n         * @private\n         * @type {Array<import(\"../format/Feature.js\").default>}\n         */\n        _this.formats_ = [];\n        var formatConstructors = options.formatConstructors\n            ? options.formatConstructors\n            : [];\n        for (var i = 0, ii = formatConstructors.length; i < ii; ++i) {\n            var format = formatConstructors[i];\n            if (typeof format === 'function') {\n                format = new format();\n            }\n            _this.formats_.push(format);\n            _this.readAsBuffer_ =\n                _this.readAsBuffer_ || format.getType() === FormatType.ARRAY_BUFFER;\n        }\n        /**\n         * @private\n         * @type {import(\"../proj/Projection.js\").default}\n         */\n        _this.projection_ = options.projection\n            ? getProjection(options.projection)\n            : null;\n        /**\n         * @private\n         * @type {?Array<import(\"../events.js\").EventsKey>}\n         */\n        _this.dropListenKeys_ = null;\n        /**\n         * @private\n         * @type {import(\"../source/Vector.js\").default}\n         */\n        _this.source_ = options.source || null;\n        /**\n         * @private\n         * @type {HTMLElement}\n         */\n        _this.target = options.target ? options.target : null;\n        return _this;\n    }\n    /**\n     * @param {File} file File.\n     * @param {Event} event Load event.\n     * @private\n     */\n    DragAndDrop.prototype.handleResult_ = function (file, event) {\n        var result = event.target.result;\n        var map = this.getMap();\n        var projection = this.projection_;\n        if (!projection) {\n            var view = map.getView();\n            projection = view.getProjection();\n        }\n        var text;\n        var formats = this.formats_;\n        for (var i = 0, ii = formats.length; i < ii; ++i) {\n            var format = formats[i];\n            var input = result;\n            if (this.readAsBuffer_ && format.getType() !== FormatType.ARRAY_BUFFER) {\n                if (text === undefined) {\n                    text = new TextDecoder().decode(result);\n                }\n                input = text;\n            }\n            var features = this.tryReadFeatures_(format, input, {\n                featureProjection: projection,\n            });\n            if (features && features.length > 0) {\n                if (this.source_) {\n                    this.source_.clear();\n                    this.source_.addFeatures(features);\n                }\n                this.dispatchEvent(new DragAndDropEvent(DragAndDropEventType.ADD_FEATURES, file, features, projection));\n                break;\n            }\n        }\n    };\n    /**\n     * @private\n     */\n    DragAndDrop.prototype.registerListeners_ = function () {\n        var map = this.getMap();\n        if (map) {\n            var dropArea = this.target ? this.target : map.getViewport();\n            this.dropListenKeys_ = [\n                listen(dropArea, EventType.DROP, this.handleDrop, this),\n                listen(dropArea, EventType.DRAGENTER, this.handleStop, this),\n                listen(dropArea, EventType.DRAGOVER, this.handleStop, this),\n                listen(dropArea, EventType.DROP, this.handleStop, this),\n            ];\n        }\n    };\n    /**\n     * Activate or deactivate the interaction.\n     * @param {boolean} active Active.\n     * @observable\n     * @api\n     */\n    DragAndDrop.prototype.setActive = function (active) {\n        if (!this.getActive() && active) {\n            this.registerListeners_();\n        }\n        if (this.getActive() && !active) {\n            this.unregisterListeners_();\n        }\n        _super.prototype.setActive.call(this, active);\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    DragAndDrop.prototype.setMap = function (map) {\n        this.unregisterListeners_();\n        _super.prototype.setMap.call(this, map);\n        if (this.getActive()) {\n            this.registerListeners_();\n        }\n    };\n    /**\n     * @param {import(\"../format/Feature.js\").default} format Format.\n     * @param {string} text Text.\n     * @param {import(\"../format/Feature.js\").ReadOptions} options Read options.\n     * @private\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     */\n    DragAndDrop.prototype.tryReadFeatures_ = function (format, text, options) {\n        try {\n            return (\n            /** @type {Array<import(\"../Feature.js\").default>} */\n            (format.readFeatures(text, options)));\n        }\n        catch (e) {\n            return null;\n        }\n    };\n    /**\n     * @private\n     */\n    DragAndDrop.prototype.unregisterListeners_ = function () {\n        if (this.dropListenKeys_) {\n            this.dropListenKeys_.forEach(unlistenByKey);\n            this.dropListenKeys_ = null;\n        }\n    };\n    /**\n     * @param {DragEvent} event Event.\n     */\n    DragAndDrop.prototype.handleDrop = function (event) {\n        var files = event.dataTransfer.files;\n        for (var i = 0, ii = files.length; i < ii; ++i) {\n            var file = files.item(i);\n            var reader = new FileReader();\n            reader.addEventListener(EventType.LOAD, this.handleResult_.bind(this, file));\n            if (this.readAsBuffer_) {\n                reader.readAsArrayBuffer(file);\n            }\n            else {\n                reader.readAsText(file);\n            }\n        }\n    };\n    /**\n     * @param {DragEvent} event Event.\n     */\n    DragAndDrop.prototype.handleStop = function (event) {\n        event.stopPropagation();\n        event.preventDefault();\n        event.dataTransfer.dropEffect = 'copy';\n    };\n    return DragAndDrop;\n}(Interaction));\nexport default DragAndDrop;\n//# sourceMappingURL=DragAndDrop.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/DragRotateAndZoom\n */\nimport PointerInteraction from './Pointer.js';\nimport { mouseOnly, shiftKeyOnly } from '../events/condition.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.shiftKeyOnly}.\n * @property {number} [duration=400] Animation duration in milliseconds.\n */\n/**\n * @classdesc\n * Allows the user to zoom and rotate the map by clicking and dragging\n * on the map.  By default, this interaction is limited to when the shift\n * key is held down.\n *\n * This interaction is only supported for mouse devices.\n *\n * And this interaction is not included in the default interactions.\n * @api\n */\nvar DragRotateAndZoom = /** @class */ (function (_super) {\n    __extends(DragRotateAndZoom, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function DragRotateAndZoom(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, /** @type {import(\"./Pointer.js\").Options} */ (options)) || this;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : shiftKeyOnly;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.lastAngle_ = undefined;\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.lastMagnitude_ = undefined;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.lastScaleDelta_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.duration_ = options.duration !== undefined ? options.duration : 400;\n        return _this;\n    }\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    DragRotateAndZoom.prototype.handleDragEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return;\n        }\n        var map = mapBrowserEvent.map;\n        var size = map.getSize();\n        var offset = mapBrowserEvent.pixel;\n        var deltaX = offset[0] - size[0] / 2;\n        var deltaY = size[1] / 2 - offset[1];\n        var theta = Math.atan2(deltaY, deltaX);\n        var magnitude = Math.sqrt(deltaX * deltaX + deltaY * deltaY);\n        var view = map.getView();\n        if (this.lastAngle_ !== undefined) {\n            var angleDelta = this.lastAngle_ - theta;\n            view.adjustRotationInternal(angleDelta);\n        }\n        this.lastAngle_ = theta;\n        if (this.lastMagnitude_ !== undefined) {\n            view.adjustResolutionInternal(this.lastMagnitude_ / magnitude);\n        }\n        if (this.lastMagnitude_ !== undefined) {\n            this.lastScaleDelta_ = this.lastMagnitude_ / magnitude;\n        }\n        this.lastMagnitude_ = magnitude;\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragRotateAndZoom.prototype.handleUpEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return true;\n        }\n        var map = mapBrowserEvent.map;\n        var view = map.getView();\n        var direction = this.lastScaleDelta_ > 1 ? 1 : -1;\n        view.endInteraction(this.duration_, direction);\n        this.lastScaleDelta_ = 0;\n        return false;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    DragRotateAndZoom.prototype.handleDownEvent = function (mapBrowserEvent) {\n        if (!mouseOnly(mapBrowserEvent)) {\n            return false;\n        }\n        if (this.condition_(mapBrowserEvent)) {\n            mapBrowserEvent.map.getView().beginInteraction();\n            this.lastAngle_ = undefined;\n            this.lastMagnitude_ = undefined;\n            return true;\n        }\n        else {\n            return false;\n        }\n    };\n    return DragRotateAndZoom;\n}(PointerInteraction));\nexport default DragRotateAndZoom;\n//# sourceMappingURL=DragRotateAndZoom.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/Circle\n */\nimport GeometryType from './GeometryType.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { createOrUpdate, forEachCorner, intersects } from '../extent.js';\nimport { deflateCoordinate } from './flat/deflate.js';\nimport { rotate, translate } from './flat/transform.js';\n/**\n * @classdesc\n * Circle geometry.\n *\n * @api\n */\nvar Circle = /** @class */ (function (_super) {\n    __extends(Circle, _super);\n    /**\n     * @param {!import(\"../coordinate.js\").Coordinate} center Center.\n     *     For internal use, flat coordinates in combination with `opt_layout` and no\n     *     `opt_radius` are also accepted.\n     * @param {number} [opt_radius] Radius.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    function Circle(center, opt_radius, opt_layout) {\n        var _this = _super.call(this) || this;\n        if (opt_layout !== undefined && opt_radius === undefined) {\n            _this.setFlatCoordinates(opt_layout, center);\n        }\n        else {\n            var radius = opt_radius ? opt_radius : 0;\n            _this.setCenterAndRadius(center, radius, opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!Circle} Clone.\n     * @api\n     */\n    Circle.prototype.clone = function () {\n        var circle = new Circle(this.flatCoordinates.slice(), undefined, this.layout);\n        circle.applyProperties(this);\n        return circle;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    Circle.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        var flatCoordinates = this.flatCoordinates;\n        var dx = x - flatCoordinates[0];\n        var dy = y - flatCoordinates[1];\n        var squaredDistance = dx * dx + dy * dy;\n        if (squaredDistance < minSquaredDistance) {\n            if (squaredDistance === 0) {\n                for (var i = 0; i < this.stride; ++i) {\n                    closestPoint[i] = flatCoordinates[i];\n                }\n            }\n            else {\n                var delta = this.getRadius() / Math.sqrt(squaredDistance);\n                closestPoint[0] = flatCoordinates[0] + delta * dx;\n                closestPoint[1] = flatCoordinates[1] + delta * dy;\n                for (var i = 2; i < this.stride; ++i) {\n                    closestPoint[i] = flatCoordinates[i];\n                }\n            }\n            closestPoint.length = this.stride;\n            return squaredDistance;\n        }\n        else {\n            return minSquaredDistance;\n        }\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @return {boolean} Contains (x, y).\n     */\n    Circle.prototype.containsXY = function (x, y) {\n        var flatCoordinates = this.flatCoordinates;\n        var dx = x - flatCoordinates[0];\n        var dy = y - flatCoordinates[1];\n        return dx * dx + dy * dy <= this.getRadiusSquared_();\n    };\n    /**\n     * Return the center of the circle as {@link module:ol/coordinate~Coordinate coordinate}.\n     * @return {import(\"../coordinate.js\").Coordinate} Center.\n     * @api\n     */\n    Circle.prototype.getCenter = function () {\n        return this.flatCoordinates.slice(0, this.stride);\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @protected\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     */\n    Circle.prototype.computeExtent = function (extent) {\n        var flatCoordinates = this.flatCoordinates;\n        var radius = flatCoordinates[this.stride] - flatCoordinates[0];\n        return createOrUpdate(flatCoordinates[0] - radius, flatCoordinates[1] - radius, flatCoordinates[0] + radius, flatCoordinates[1] + radius, extent);\n    };\n    /**\n     * Return the radius of the circle.\n     * @return {number} Radius.\n     * @api\n     */\n    Circle.prototype.getRadius = function () {\n        return Math.sqrt(this.getRadiusSquared_());\n    };\n    /**\n     * @private\n     * @return {number} Radius squared.\n     */\n    Circle.prototype.getRadiusSquared_ = function () {\n        var dx = this.flatCoordinates[this.stride] - this.flatCoordinates[0];\n        var dy = this.flatCoordinates[this.stride + 1] - this.flatCoordinates[1];\n        return dx * dx + dy * dy;\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    Circle.prototype.getType = function () {\n        return GeometryType.CIRCLE;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    Circle.prototype.intersectsExtent = function (extent) {\n        var circleExtent = this.getExtent();\n        if (intersects(extent, circleExtent)) {\n            var center = this.getCenter();\n            if (extent[0] <= center[0] && extent[2] >= center[0]) {\n                return true;\n            }\n            if (extent[1] <= center[1] && extent[3] >= center[1]) {\n                return true;\n            }\n            return forEachCorner(extent, this.intersectsCoordinate.bind(this));\n        }\n        return false;\n    };\n    /**\n     * Set the center of the circle as {@link module:ol/coordinate~Coordinate coordinate}.\n     * @param {import(\"../coordinate.js\").Coordinate} center Center.\n     * @api\n     */\n    Circle.prototype.setCenter = function (center) {\n        var stride = this.stride;\n        var radius = this.flatCoordinates[stride] - this.flatCoordinates[0];\n        var flatCoordinates = center.slice();\n        flatCoordinates[stride] = flatCoordinates[0] + radius;\n        for (var i = 1; i < stride; ++i) {\n            flatCoordinates[stride + i] = center[i];\n        }\n        this.setFlatCoordinates(this.layout, flatCoordinates);\n        this.changed();\n    };\n    /**\n     * Set the center (as {@link module:ol/coordinate~Coordinate coordinate}) and the radius (as\n     * number) of the circle.\n     * @param {!import(\"../coordinate.js\").Coordinate} center Center.\n     * @param {number} radius Radius.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    Circle.prototype.setCenterAndRadius = function (center, radius, opt_layout) {\n        this.setLayout(opt_layout, center, 0);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        /** @type {Array<number>} */\n        var flatCoordinates = this.flatCoordinates;\n        var offset = deflateCoordinate(flatCoordinates, 0, center, this.stride);\n        flatCoordinates[offset++] = flatCoordinates[0] + radius;\n        for (var i = 1, ii = this.stride; i < ii; ++i) {\n            flatCoordinates[offset++] = flatCoordinates[i];\n        }\n        flatCoordinates.length = offset;\n        this.changed();\n    };\n    Circle.prototype.getCoordinates = function () {\n        return null;\n    };\n    Circle.prototype.setCoordinates = function (coordinates, opt_layout) { };\n    /**\n     * Set the radius of the circle. The radius is in the units of the projection.\n     * @param {number} radius Radius.\n     * @api\n     */\n    Circle.prototype.setRadius = function (radius) {\n        this.flatCoordinates[this.stride] = this.flatCoordinates[0] + radius;\n        this.changed();\n    };\n    /**\n     * Rotate the geometry around a given coordinate. This modifies the geometry\n     * coordinates in place.\n     * @param {number} angle Rotation angle in counter-clockwise radians.\n     * @param {import(\"../coordinate.js\").Coordinate} anchor The rotation center.\n     * @api\n     */\n    Circle.prototype.rotate = function (angle, anchor) {\n        var center = this.getCenter();\n        var stride = this.getStride();\n        this.setCenter(rotate(center, 0, center.length, stride, angle, anchor, center));\n        this.changed();\n    };\n    /**\n     * Translate the geometry.  This modifies the geometry coordinates in place.  If\n     * instead you want a new geometry, first `clone()` this geometry.\n     * @param {number} deltaX Delta X.\n     * @param {number} deltaY Delta Y.\n     * @api\n     */\n    Circle.prototype.translate = function (deltaX, deltaY) {\n        var center = this.getCenter();\n        var stride = this.getStride();\n        this.setCenter(translate(center, 0, center.length, stride, deltaX, deltaY, center));\n        this.changed();\n    };\n    return Circle;\n}(SimpleGeometry));\n/**\n * Transform each coordinate of the circle from one coordinate reference system\n * to another. The geometry is modified in place.\n * If you do not want the geometry modified in place, first clone() it and\n * then use this function on the clone.\n *\n * Internally a circle is currently represented by two points: the center of\n * the circle `[cx, cy]`, and the point to the right of the circle\n * `[cx + r, cy]`. This `transform` function just transforms these two points.\n * So the resulting geometry is also a circle, and that circle does not\n * correspond to the shape that would be obtained by transforming every point\n * of the original circle.\n *\n * @param {import(\"../proj.js\").ProjectionLike} source The current projection.  Can be a\n *     string identifier or a {@link module:ol/proj/Projection~Projection} object.\n * @param {import(\"../proj.js\").ProjectionLike} destination The desired projection.  Can be a\n *     string identifier or a {@link module:ol/proj/Projection~Projection} object.\n * @return {Circle} This geometry.  Note that original geometry is\n *     modified in place.\n * @function\n * @api\n */\nCircle.prototype.transform;\nexport default Circle;\n//# sourceMappingURL=Circle.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/MultiLineString\n */\nimport GeometryLayout from './GeometryLayout.js';\nimport GeometryType from './GeometryType.js';\nimport LineString from './LineString.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { arrayMaxSquaredDelta, assignClosestArrayPoint } from './flat/closest.js';\nimport { closestSquaredDistanceXY } from '../extent.js';\nimport { deflateCoordinatesArray } from './flat/deflate.js';\nimport { douglasPeuckerArray } from './flat/simplify.js';\nimport { extend } from '../array.js';\nimport { inflateCoordinatesArray } from './flat/inflate.js';\nimport { interpolatePoint, lineStringsCoordinateAtM, } from './flat/interpolate.js';\nimport { intersectsLineStringArray } from './flat/intersectsextent.js';\n/**\n * @classdesc\n * Multi-linestring geometry.\n *\n * @api\n */\nvar MultiLineString = /** @class */ (function (_super) {\n    __extends(MultiLineString, _super);\n    /**\n     * @param {Array<Array<import(\"../coordinate.js\").Coordinate>|LineString>|Array<number>} coordinates\n     *     Coordinates or LineString geometries. (For internal use, flat coordinates in\n     *     combination with `opt_layout` and `opt_ends` are also accepted.)\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @param {Array<number>} [opt_ends] Flat coordinate ends for internal use.\n     */\n    function MultiLineString(coordinates, opt_layout, opt_ends) {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {Array<number>}\n         * @private\n         */\n        _this.ends_ = [];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDeltaRevision_ = -1;\n        if (Array.isArray(coordinates[0])) {\n            _this.setCoordinates(\n            /** @type {Array<Array<import(\"../coordinate.js\").Coordinate>>} */ (coordinates), opt_layout);\n        }\n        else if (opt_layout !== undefined && opt_ends) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n            _this.ends_ = opt_ends;\n        }\n        else {\n            var layout = _this.getLayout();\n            var lineStrings = /** @type {Array<LineString>} */ (coordinates);\n            var flatCoordinates = [];\n            var ends = [];\n            for (var i = 0, ii = lineStrings.length; i < ii; ++i) {\n                var lineString = lineStrings[i];\n                if (i === 0) {\n                    layout = lineString.getLayout();\n                }\n                extend(flatCoordinates, lineString.getFlatCoordinates());\n                ends.push(flatCoordinates.length);\n            }\n            _this.setFlatCoordinates(layout, flatCoordinates);\n            _this.ends_ = ends;\n        }\n        return _this;\n    }\n    /**\n     * Append the passed linestring to the multilinestring.\n     * @param {LineString} lineString LineString.\n     * @api\n     */\n    MultiLineString.prototype.appendLineString = function (lineString) {\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = lineString.getFlatCoordinates().slice();\n        }\n        else {\n            extend(this.flatCoordinates, lineString.getFlatCoordinates().slice());\n        }\n        this.ends_.push(this.flatCoordinates.length);\n        this.changed();\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!MultiLineString} Clone.\n     * @api\n     */\n    MultiLineString.prototype.clone = function () {\n        var multiLineString = new MultiLineString(this.flatCoordinates.slice(), this.layout, this.ends_.slice());\n        multiLineString.applyProperties(this);\n        return multiLineString;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    MultiLineString.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        if (this.maxDeltaRevision_ != this.getRevision()) {\n            this.maxDelta_ = Math.sqrt(arrayMaxSquaredDelta(this.flatCoordinates, 0, this.ends_, this.stride, 0));\n            this.maxDeltaRevision_ = this.getRevision();\n        }\n        return assignClosestArrayPoint(this.flatCoordinates, 0, this.ends_, this.stride, this.maxDelta_, false, x, y, closestPoint, minSquaredDistance);\n    };\n    /**\n     * Returns the coordinate at `m` using linear interpolation, or `null` if no\n     * such coordinate exists.\n     *\n     * `opt_extrapolate` controls extrapolation beyond the range of Ms in the\n     * MultiLineString. If `opt_extrapolate` is `true` then Ms less than the first\n     * M will return the first coordinate and Ms greater than the last M will\n     * return the last coordinate.\n     *\n     * `opt_interpolate` controls interpolation between consecutive LineStrings\n     * within the MultiLineString. If `opt_interpolate` is `true` the coordinates\n     * will be linearly interpolated between the last coordinate of one LineString\n     * and the first coordinate of the next LineString.  If `opt_interpolate` is\n     * `false` then the function will return `null` for Ms falling between\n     * LineStrings.\n     *\n     * @param {number} m M.\n     * @param {boolean} [opt_extrapolate] Extrapolate. Default is `false`.\n     * @param {boolean} [opt_interpolate] Interpolate. Default is `false`.\n     * @return {import(\"../coordinate.js\").Coordinate} Coordinate.\n     * @api\n     */\n    MultiLineString.prototype.getCoordinateAtM = function (m, opt_extrapolate, opt_interpolate) {\n        if ((this.layout != GeometryLayout.XYM &&\n            this.layout != GeometryLayout.XYZM) ||\n            this.flatCoordinates.length === 0) {\n            return null;\n        }\n        var extrapolate = opt_extrapolate !== undefined ? opt_extrapolate : false;\n        var interpolate = opt_interpolate !== undefined ? opt_interpolate : false;\n        return lineStringsCoordinateAtM(this.flatCoordinates, 0, this.ends_, this.stride, m, extrapolate, interpolate);\n    };\n    /**\n     * Return the coordinates of the multilinestring.\n     * @return {Array<Array<import(\"../coordinate.js\").Coordinate>>} Coordinates.\n     * @api\n     */\n    MultiLineString.prototype.getCoordinates = function () {\n        return inflateCoordinatesArray(this.flatCoordinates, 0, this.ends_, this.stride);\n    };\n    /**\n     * @return {Array<number>} Ends.\n     */\n    MultiLineString.prototype.getEnds = function () {\n        return this.ends_;\n    };\n    /**\n     * Return the linestring at the specified index.\n     * @param {number} index Index.\n     * @return {LineString} LineString.\n     * @api\n     */\n    MultiLineString.prototype.getLineString = function (index) {\n        if (index < 0 || this.ends_.length <= index) {\n            return null;\n        }\n        return new LineString(this.flatCoordinates.slice(index === 0 ? 0 : this.ends_[index - 1], this.ends_[index]), this.layout);\n    };\n    /**\n     * Return the linestrings of this multilinestring.\n     * @return {Array<LineString>} LineStrings.\n     * @api\n     */\n    MultiLineString.prototype.getLineStrings = function () {\n        var flatCoordinates = this.flatCoordinates;\n        var ends = this.ends_;\n        var layout = this.layout;\n        /** @type {Array<LineString>} */\n        var lineStrings = [];\n        var offset = 0;\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            var end = ends[i];\n            var lineString = new LineString(flatCoordinates.slice(offset, end), layout);\n            lineStrings.push(lineString);\n            offset = end;\n        }\n        return lineStrings;\n    };\n    /**\n     * @return {Array<number>} Flat midpoints.\n     */\n    MultiLineString.prototype.getFlatMidpoints = function () {\n        var midpoints = [];\n        var flatCoordinates = this.flatCoordinates;\n        var offset = 0;\n        var ends = this.ends_;\n        var stride = this.stride;\n        for (var i = 0, ii = ends.length; i < ii; ++i) {\n            var end = ends[i];\n            var midpoint = interpolatePoint(flatCoordinates, offset, end, stride, 0.5);\n            extend(midpoints, midpoint);\n            offset = end;\n        }\n        return midpoints;\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {MultiLineString} Simplified MultiLineString.\n     * @protected\n     */\n    MultiLineString.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        var simplifiedFlatCoordinates = [];\n        var simplifiedEnds = [];\n        simplifiedFlatCoordinates.length = douglasPeuckerArray(this.flatCoordinates, 0, this.ends_, this.stride, squaredTolerance, simplifiedFlatCoordinates, 0, simplifiedEnds);\n        return new MultiLineString(simplifiedFlatCoordinates, GeometryLayout.XY, simplifiedEnds);\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    MultiLineString.prototype.getType = function () {\n        return GeometryType.MULTI_LINE_STRING;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    MultiLineString.prototype.intersectsExtent = function (extent) {\n        return intersectsLineStringArray(this.flatCoordinates, 0, this.ends_, this.stride, extent);\n    };\n    /**\n     * Set the coordinates of the multilinestring.\n     * @param {!Array<Array<import(\"../coordinate.js\").Coordinate>>} coordinates Coordinates.\n     * @param {GeometryLayout} [opt_layout] Layout.\n     * @api\n     */\n    MultiLineString.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 2);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        var ends = deflateCoordinatesArray(this.flatCoordinates, 0, coordinates, this.stride, this.ends_);\n        this.flatCoordinates.length = ends.length === 0 ? 0 : ends[ends.length - 1];\n        this.changed();\n    };\n    return MultiLineString;\n}(SimpleGeometry));\nexport default MultiLineString;\n//# sourceMappingURL=MultiLineString.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/MultiPoint\n */\nimport GeometryType from './GeometryType.js';\nimport Point from './Point.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { closestSquaredDistanceXY, containsXY } from '../extent.js';\nimport { deflateCoordinates } from './flat/deflate.js';\nimport { extend } from '../array.js';\nimport { inflateCoordinates } from './flat/inflate.js';\nimport { squaredDistance as squaredDx } from '../math.js';\n/**\n * @classdesc\n * Multi-point geometry.\n *\n * @api\n */\nvar MultiPoint = /** @class */ (function (_super) {\n    __extends(MultiPoint, _super);\n    /**\n     * @param {Array<import(\"../coordinate.js\").Coordinate>|Array<number>} coordinates Coordinates.\n     *     For internal use, flat coordinates in combination with `opt_layout` are also accepted.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     */\n    function MultiPoint(coordinates, opt_layout) {\n        var _this = _super.call(this) || this;\n        if (opt_layout && !Array.isArray(coordinates[0])) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n        }\n        else {\n            _this.setCoordinates(\n            /** @type {Array<import(\"../coordinate.js\").Coordinate>} */ (coordinates), opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Append the passed point to this multipoint.\n     * @param {Point} point Point.\n     * @api\n     */\n    MultiPoint.prototype.appendPoint = function (point) {\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = point.getFlatCoordinates().slice();\n        }\n        else {\n            extend(this.flatCoordinates, point.getFlatCoordinates());\n        }\n        this.changed();\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!MultiPoint} Clone.\n     * @api\n     */\n    MultiPoint.prototype.clone = function () {\n        var multiPoint = new MultiPoint(this.flatCoordinates.slice(), this.layout);\n        multiPoint.applyProperties(this);\n        return multiPoint;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    MultiPoint.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        var flatCoordinates = this.flatCoordinates;\n        var stride = this.stride;\n        for (var i = 0, ii = flatCoordinates.length; i < ii; i += stride) {\n            var squaredDistance = squaredDx(x, y, flatCoordinates[i], flatCoordinates[i + 1]);\n            if (squaredDistance < minSquaredDistance) {\n                minSquaredDistance = squaredDistance;\n                for (var j = 0; j < stride; ++j) {\n                    closestPoint[j] = flatCoordinates[i + j];\n                }\n                closestPoint.length = stride;\n            }\n        }\n        return minSquaredDistance;\n    };\n    /**\n     * Return the coordinates of the multipoint.\n     * @return {Array<import(\"../coordinate.js\").Coordinate>} Coordinates.\n     * @api\n     */\n    MultiPoint.prototype.getCoordinates = function () {\n        return inflateCoordinates(this.flatCoordinates, 0, this.flatCoordinates.length, this.stride);\n    };\n    /**\n     * Return the point at the specified index.\n     * @param {number} index Index.\n     * @return {Point} Point.\n     * @api\n     */\n    MultiPoint.prototype.getPoint = function (index) {\n        var n = !this.flatCoordinates\n            ? 0\n            : this.flatCoordinates.length / this.stride;\n        if (index < 0 || n <= index) {\n            return null;\n        }\n        return new Point(this.flatCoordinates.slice(index * this.stride, (index + 1) * this.stride), this.layout);\n    };\n    /**\n     * Return the points of this multipoint.\n     * @return {Array<Point>} Points.\n     * @api\n     */\n    MultiPoint.prototype.getPoints = function () {\n        var flatCoordinates = this.flatCoordinates;\n        var layout = this.layout;\n        var stride = this.stride;\n        /** @type {Array<Point>} */\n        var points = [];\n        for (var i = 0, ii = flatCoordinates.length; i < ii; i += stride) {\n            var point = new Point(flatCoordinates.slice(i, i + stride), layout);\n            points.push(point);\n        }\n        return points;\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    MultiPoint.prototype.getType = function () {\n        return GeometryType.MULTI_POINT;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    MultiPoint.prototype.intersectsExtent = function (extent) {\n        var flatCoordinates = this.flatCoordinates;\n        var stride = this.stride;\n        for (var i = 0, ii = flatCoordinates.length; i < ii; i += stride) {\n            var x = flatCoordinates[i];\n            var y = flatCoordinates[i + 1];\n            if (containsXY(extent, x, y)) {\n                return true;\n            }\n        }\n        return false;\n    };\n    /**\n     * Set the coordinates of the multipoint.\n     * @param {!Array<import(\"../coordinate.js\").Coordinate>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    MultiPoint.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 1);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        this.flatCoordinates.length = deflateCoordinates(this.flatCoordinates, 0, coordinates, this.stride);\n        this.changed();\n    };\n    return MultiPoint;\n}(SimpleGeometry));\nexport default MultiPoint;\n//# sourceMappingURL=MultiPoint.js.map","/**\n * @module ol/geom/flat/center\n */\nimport { createEmpty, createOrUpdateFromFlatCoordinates } from '../../extent.js';\n/**\n * @param {Array<number>} flatCoordinates Flat coordinates.\n * @param {number} offset Offset.\n * @param {Array<Array<number>>} endss Endss.\n * @param {number} stride Stride.\n * @return {Array<number>} Flat centers.\n */\nexport function linearRingss(flatCoordinates, offset, endss, stride) {\n    var flatCenters = [];\n    var extent = createEmpty();\n    for (var i = 0, ii = endss.length; i < ii; ++i) {\n        var ends = endss[i];\n        extent = createOrUpdateFromFlatCoordinates(flatCoordinates, offset, ends[0], stride);\n        flatCenters.push((extent[0] + extent[2]) / 2, (extent[1] + extent[3]) / 2);\n        offset = ends[ends.length - 1];\n    }\n    return flatCenters;\n}\n//# sourceMappingURL=center.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/MultiPolygon\n */\nimport GeometryLayout from './GeometryLayout.js';\nimport GeometryType from './GeometryType.js';\nimport MultiPoint from './MultiPoint.js';\nimport Polygon from './Polygon.js';\nimport SimpleGeometry from './SimpleGeometry.js';\nimport { assignClosestMultiArrayPoint, multiArrayMaxSquaredDelta, } from './flat/closest.js';\nimport { closestSquaredDistanceXY } from '../extent.js';\nimport { deflateMultiCoordinatesArray } from './flat/deflate.js';\nimport { extend } from '../array.js';\nimport { getInteriorPointsOfMultiArray } from './flat/interiorpoint.js';\nimport { inflateMultiCoordinatesArray } from './flat/inflate.js';\nimport { intersectsLinearRingMultiArray } from './flat/intersectsextent.js';\nimport { linearRingssAreOriented, orientLinearRingsArray, } from './flat/orient.js';\nimport { linearRingss as linearRingssArea } from './flat/area.js';\nimport { linearRingss as linearRingssCenter } from './flat/center.js';\nimport { linearRingssContainsXY } from './flat/contains.js';\nimport { quantizeMultiArray } from './flat/simplify.js';\n/**\n * @classdesc\n * Multi-polygon geometry.\n *\n * @api\n */\nvar MultiPolygon = /** @class */ (function (_super) {\n    __extends(MultiPolygon, _super);\n    /**\n     * @param {Array<Array<Array<import(\"../coordinate.js\").Coordinate>>|Polygon>|Array<number>} coordinates Coordinates.\n     *     For internal use, flat coordinates in combination with `opt_layout` and `opt_endss` are also accepted.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @param {Array<Array<number>>} [opt_endss] Array of ends for internal use with flat coordinates.\n     */\n    function MultiPolygon(coordinates, opt_layout, opt_endss) {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {Array<Array<number>>}\n         * @private\n         */\n        _this.endss_ = [];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.flatInteriorPointsRevision_ = -1;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.flatInteriorPoints_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDelta_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxDeltaRevision_ = -1;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.orientedRevision_ = -1;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.orientedFlatCoordinates_ = null;\n        if (!opt_endss && !Array.isArray(coordinates[0])) {\n            var layout = _this.getLayout();\n            var polygons = /** @type {Array<Polygon>} */ (coordinates);\n            var flatCoordinates = [];\n            var endss = [];\n            for (var i = 0, ii = polygons.length; i < ii; ++i) {\n                var polygon = polygons[i];\n                if (i === 0) {\n                    layout = polygon.getLayout();\n                }\n                var offset = flatCoordinates.length;\n                var ends = polygon.getEnds();\n                for (var j = 0, jj = ends.length; j < jj; ++j) {\n                    ends[j] += offset;\n                }\n                extend(flatCoordinates, polygon.getFlatCoordinates());\n                endss.push(ends);\n            }\n            opt_layout = layout;\n            coordinates = flatCoordinates;\n            opt_endss = endss;\n        }\n        if (opt_layout !== undefined && opt_endss) {\n            _this.setFlatCoordinates(opt_layout, \n            /** @type {Array<number>} */ (coordinates));\n            _this.endss_ = opt_endss;\n        }\n        else {\n            _this.setCoordinates(\n            /** @type {Array<Array<Array<import(\"../coordinate.js\").Coordinate>>>} */ (coordinates), opt_layout);\n        }\n        return _this;\n    }\n    /**\n     * Append the passed polygon to this multipolygon.\n     * @param {Polygon} polygon Polygon.\n     * @api\n     */\n    MultiPolygon.prototype.appendPolygon = function (polygon) {\n        /** @type {Array<number>} */\n        var ends;\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = polygon.getFlatCoordinates().slice();\n            ends = polygon.getEnds().slice();\n            this.endss_.push();\n        }\n        else {\n            var offset = this.flatCoordinates.length;\n            extend(this.flatCoordinates, polygon.getFlatCoordinates());\n            ends = polygon.getEnds().slice();\n            for (var i = 0, ii = ends.length; i < ii; ++i) {\n                ends[i] += offset;\n            }\n        }\n        this.endss_.push(ends);\n        this.changed();\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!MultiPolygon} Clone.\n     * @api\n     */\n    MultiPolygon.prototype.clone = function () {\n        var len = this.endss_.length;\n        var newEndss = new Array(len);\n        for (var i = 0; i < len; ++i) {\n            newEndss[i] = this.endss_[i].slice();\n        }\n        var multiPolygon = new MultiPolygon(this.flatCoordinates.slice(), this.layout, newEndss);\n        multiPolygon.applyProperties(this);\n        return multiPolygon;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    MultiPolygon.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        if (this.maxDeltaRevision_ != this.getRevision()) {\n            this.maxDelta_ = Math.sqrt(multiArrayMaxSquaredDelta(this.flatCoordinates, 0, this.endss_, this.stride, 0));\n            this.maxDeltaRevision_ = this.getRevision();\n        }\n        return assignClosestMultiArrayPoint(this.getOrientedFlatCoordinates(), 0, this.endss_, this.stride, this.maxDelta_, true, x, y, closestPoint, minSquaredDistance);\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @return {boolean} Contains (x, y).\n     */\n    MultiPolygon.prototype.containsXY = function (x, y) {\n        return linearRingssContainsXY(this.getOrientedFlatCoordinates(), 0, this.endss_, this.stride, x, y);\n    };\n    /**\n     * Return the area of the multipolygon on projected plane.\n     * @return {number} Area (on projected plane).\n     * @api\n     */\n    MultiPolygon.prototype.getArea = function () {\n        return linearRingssArea(this.getOrientedFlatCoordinates(), 0, this.endss_, this.stride);\n    };\n    /**\n     * Get the coordinate array for this geometry.  This array has the structure\n     * of a GeoJSON coordinate array for multi-polygons.\n     *\n     * @param {boolean} [opt_right] Orient coordinates according to the right-hand\n     *     rule (counter-clockwise for exterior and clockwise for interior rings).\n     *     If `false`, coordinates will be oriented according to the left-hand rule\n     *     (clockwise for exterior and counter-clockwise for interior rings).\n     *     By default, coordinate orientation will depend on how the geometry was\n     *     constructed.\n     * @return {Array<Array<Array<import(\"../coordinate.js\").Coordinate>>>} Coordinates.\n     * @api\n     */\n    MultiPolygon.prototype.getCoordinates = function (opt_right) {\n        var flatCoordinates;\n        if (opt_right !== undefined) {\n            flatCoordinates = this.getOrientedFlatCoordinates().slice();\n            orientLinearRingsArray(flatCoordinates, 0, this.endss_, this.stride, opt_right);\n        }\n        else {\n            flatCoordinates = this.flatCoordinates;\n        }\n        return inflateMultiCoordinatesArray(flatCoordinates, 0, this.endss_, this.stride);\n    };\n    /**\n     * @return {Array<Array<number>>} Endss.\n     */\n    MultiPolygon.prototype.getEndss = function () {\n        return this.endss_;\n    };\n    /**\n     * @return {Array<number>} Flat interior points.\n     */\n    MultiPolygon.prototype.getFlatInteriorPoints = function () {\n        if (this.flatInteriorPointsRevision_ != this.getRevision()) {\n            var flatCenters = linearRingssCenter(this.flatCoordinates, 0, this.endss_, this.stride);\n            this.flatInteriorPoints_ = getInteriorPointsOfMultiArray(this.getOrientedFlatCoordinates(), 0, this.endss_, this.stride, flatCenters);\n            this.flatInteriorPointsRevision_ = this.getRevision();\n        }\n        return this.flatInteriorPoints_;\n    };\n    /**\n     * Return the interior points as {@link module:ol/geom/MultiPoint multipoint}.\n     * @return {MultiPoint} Interior points as XYM coordinates, where M is\n     * the length of the horizontal intersection that the point belongs to.\n     * @api\n     */\n    MultiPolygon.prototype.getInteriorPoints = function () {\n        return new MultiPoint(this.getFlatInteriorPoints().slice(), GeometryLayout.XYM);\n    };\n    /**\n     * @return {Array<number>} Oriented flat coordinates.\n     */\n    MultiPolygon.prototype.getOrientedFlatCoordinates = function () {\n        if (this.orientedRevision_ != this.getRevision()) {\n            var flatCoordinates = this.flatCoordinates;\n            if (linearRingssAreOriented(flatCoordinates, 0, this.endss_, this.stride)) {\n                this.orientedFlatCoordinates_ = flatCoordinates;\n            }\n            else {\n                this.orientedFlatCoordinates_ = flatCoordinates.slice();\n                this.orientedFlatCoordinates_.length = orientLinearRingsArray(this.orientedFlatCoordinates_, 0, this.endss_, this.stride);\n            }\n            this.orientedRevision_ = this.getRevision();\n        }\n        return this.orientedFlatCoordinates_;\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {MultiPolygon} Simplified MultiPolygon.\n     * @protected\n     */\n    MultiPolygon.prototype.getSimplifiedGeometryInternal = function (squaredTolerance) {\n        var simplifiedFlatCoordinates = [];\n        var simplifiedEndss = [];\n        simplifiedFlatCoordinates.length = quantizeMultiArray(this.flatCoordinates, 0, this.endss_, this.stride, Math.sqrt(squaredTolerance), simplifiedFlatCoordinates, 0, simplifiedEndss);\n        return new MultiPolygon(simplifiedFlatCoordinates, GeometryLayout.XY, simplifiedEndss);\n    };\n    /**\n     * Return the polygon at the specified index.\n     * @param {number} index Index.\n     * @return {Polygon} Polygon.\n     * @api\n     */\n    MultiPolygon.prototype.getPolygon = function (index) {\n        if (index < 0 || this.endss_.length <= index) {\n            return null;\n        }\n        var offset;\n        if (index === 0) {\n            offset = 0;\n        }\n        else {\n            var prevEnds = this.endss_[index - 1];\n            offset = prevEnds[prevEnds.length - 1];\n        }\n        var ends = this.endss_[index].slice();\n        var end = ends[ends.length - 1];\n        if (offset !== 0) {\n            for (var i = 0, ii = ends.length; i < ii; ++i) {\n                ends[i] -= offset;\n            }\n        }\n        return new Polygon(this.flatCoordinates.slice(offset, end), this.layout, ends);\n    };\n    /**\n     * Return the polygons of this multipolygon.\n     * @return {Array<Polygon>} Polygons.\n     * @api\n     */\n    MultiPolygon.prototype.getPolygons = function () {\n        var layout = this.layout;\n        var flatCoordinates = this.flatCoordinates;\n        var endss = this.endss_;\n        var polygons = [];\n        var offset = 0;\n        for (var i = 0, ii = endss.length; i < ii; ++i) {\n            var ends = endss[i].slice();\n            var end = ends[ends.length - 1];\n            if (offset !== 0) {\n                for (var j = 0, jj = ends.length; j < jj; ++j) {\n                    ends[j] -= offset;\n                }\n            }\n            var polygon = new Polygon(flatCoordinates.slice(offset, end), layout, ends);\n            polygons.push(polygon);\n            offset = end;\n        }\n        return polygons;\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    MultiPolygon.prototype.getType = function () {\n        return GeometryType.MULTI_POLYGON;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    MultiPolygon.prototype.intersectsExtent = function (extent) {\n        return intersectsLinearRingMultiArray(this.getOrientedFlatCoordinates(), 0, this.endss_, this.stride, extent);\n    };\n    /**\n     * Set the coordinates of the multipolygon.\n     * @param {!Array<Array<Array<import(\"../coordinate.js\").Coordinate>>>} coordinates Coordinates.\n     * @param {import(\"./GeometryLayout.js\").default} [opt_layout] Layout.\n     * @api\n     */\n    MultiPolygon.prototype.setCoordinates = function (coordinates, opt_layout) {\n        this.setLayout(opt_layout, coordinates, 3);\n        if (!this.flatCoordinates) {\n            this.flatCoordinates = [];\n        }\n        var endss = deflateMultiCoordinatesArray(this.flatCoordinates, 0, coordinates, this.stride, this.endss_);\n        if (endss.length === 0) {\n            this.flatCoordinates.length = 0;\n        }\n        else {\n            var lastEnds = endss[endss.length - 1];\n            this.flatCoordinates.length =\n                lastEnds.length === 0 ? 0 : lastEnds[lastEnds.length - 1];\n        }\n        this.changed();\n    };\n    return MultiPolygon;\n}(SimpleGeometry));\nexport default MultiPolygon;\n//# sourceMappingURL=MultiPolygon.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Draw\n */\nimport Circle from '../geom/Circle.js';\nimport Event from '../events/Event.js';\nimport EventType from '../events/EventType.js';\nimport Feature from '../Feature.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport InteractionProperty from './Property.js';\nimport LineString from '../geom/LineString.js';\nimport MapBrowserEvent from '../MapBrowserEvent.js';\nimport MapBrowserEventType from '../MapBrowserEventType.js';\nimport MultiLineString from '../geom/MultiLineString.js';\nimport MultiPoint from '../geom/MultiPoint.js';\nimport MultiPolygon from '../geom/MultiPolygon.js';\nimport Point from '../geom/Point.js';\nimport PointerInteraction from './Pointer.js';\nimport Polygon, { fromCircle, makeRegular } from '../geom/Polygon.js';\nimport VectorLayer from '../layer/Vector.js';\nimport VectorSource from '../source/Vector.js';\nimport { FALSE, TRUE } from '../functions.js';\nimport { always, noModifierKeys, shiftKeyOnly } from '../events/condition.js';\nimport { boundingExtent, getBottomLeft, getBottomRight, getTopLeft, getTopRight, } from '../extent.js';\nimport { createEditingStyle } from '../style/Style.js';\nimport { fromUserCoordinate, getUserProjection } from '../proj.js';\nimport { squaredDistance as squaredCoordinateDistance } from '../coordinate.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../geom/GeometryType.js\").default} type Geometry type of\n * the geometries being drawn with this instance.\n * @property {number} [clickTolerance=6] The maximum distance in pixels between\n * \"down\" and \"up\" for a \"up\" event to be considered a \"click\" event and\n * actually add a point/vertex to the geometry being drawn.  The default of `6`\n * was chosen for the draw interaction to behave correctly on mouse as well as\n * on touch devices.\n * @property {import(\"../Collection.js\").default<Feature>} [features]\n * Destination collection for the drawn features.\n * @property {VectorSource} [source] Destination source for\n * the drawn features.\n * @property {number} [dragVertexDelay=500] Delay in milliseconds after pointerdown\n * before the current vertex can be dragged to its exact position.\n * @property {number} [snapTolerance=12] Pixel distance for snapping to the\n * drawing finish. Must be greater than `0`.\n * @property {boolean} [stopClick=false] Stop click, singleclick, and\n * doubleclick events from firing during drawing.\n * @property {number} [maxPoints] The number of points that can be drawn before\n * a polygon ring or line string is finished. By default there is no\n * restriction.\n * @property {number} [minPoints] The number of points that must be drawn\n * before a polygon ring or line string can be finished. Default is `3` for\n * polygon rings and `2` for line strings.\n * @property {import(\"../events/condition.js\").Condition} [finishCondition] A function\n * that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether the drawing can be finished. Not used when drawing\n * POINT or MULTI_POINT geometries.\n * @property {import(\"../style/Style.js\").StyleLike} [style]\n * Style for sketch features.\n * @property {GeometryFunction} [geometryFunction]\n * Function that is called when a geometry's coordinates are updated.\n * @property {string} [geometryName] Geometry name to use for features created\n * by the draw interaction.\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * By default {@link module:ol/events/condition.noModifierKeys}, i.e. a click,\n * adds a vertex or deactivates freehand drawing.\n * @property {boolean} [freehand=false] Operate in freehand mode for lines,\n * polygons, and circles.  This makes the interaction always operate in freehand\n * mode and takes precedence over any `freehandCondition` option.\n * @property {import(\"../events/condition.js\").Condition} [freehandCondition]\n * Condition that activates freehand drawing for lines and polygons. This\n * function takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and\n * returns a boolean to indicate whether that event should be handled. The\n * default is {@link module:ol/events/condition.shiftKeyOnly}, meaning that the\n * Shift key activates freehand drawing.\n * @property {boolean} [wrapX=false] Wrap the world horizontally on the sketch\n * overlay.\n */\n/**\n * Coordinate type when drawing points.\n * @typedef {import(\"../coordinate.js\").Coordinate} PointCoordType\n */\n/**\n * Coordinate type when drawing lines.\n * @typedef {Array<import(\"../coordinate.js\").Coordinate>} LineCoordType\n */\n/**\n * Coordinate type when drawing polygons.\n * @typedef {Array<Array<import(\"../coordinate.js\").Coordinate>>} PolyCoordType\n */\n/**\n * Types used for drawing coordinates.\n * @typedef {PointCoordType|LineCoordType|PolyCoordType} SketchCoordType\n */\n/**\n * Function that takes an array of coordinates and an optional existing geometry\n * and a projection as arguments, and returns a geometry. The optional existing\n * geometry is the geometry that is returned when the function is called without\n * a second argument.\n * @typedef {function(!SketchCoordType, import(\"../geom/SimpleGeometry.js\").default,\n *     import(\"../proj/Projection.js\").default):\n *     import(\"../geom/SimpleGeometry.js\").default} GeometryFunction\n */\n/**\n * Draw mode.  This collapses multi-part geometry types with their single-part\n * cousins.\n * @enum {string}\n */\nvar Mode = {\n    POINT: 'Point',\n    LINE_STRING: 'LineString',\n    POLYGON: 'Polygon',\n    CIRCLE: 'Circle',\n};\n/**\n * @enum {string}\n */\nvar DrawEventType = {\n    /**\n     * Triggered upon feature draw start\n     * @event DrawEvent#drawstart\n     * @api\n     */\n    DRAWSTART: 'drawstart',\n    /**\n     * Triggered upon feature draw end\n     * @event DrawEvent#drawend\n     * @api\n     */\n    DRAWEND: 'drawend',\n    /**\n     * Triggered upon feature draw abortion\n     * @event DrawEvent#drawabort\n     * @api\n     */\n    DRAWABORT: 'drawabort',\n};\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/Draw~Draw} instances are\n * instances of this type.\n */\nvar DrawEvent = /** @class */ (function (_super) {\n    __extends(DrawEvent, _super);\n    /**\n     * @param {DrawEventType} type Type.\n     * @param {Feature} feature The feature drawn.\n     */\n    function DrawEvent(type, feature) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The feature being drawn.\n         * @type {Feature}\n         * @api\n         */\n        _this.feature = feature;\n        return _this;\n    }\n    return DrawEvent;\n}(Event));\nexport { DrawEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'drawabort'|'drawend'|'drawstart', DrawEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'drawabort'|'drawend'|'drawstart', Return>} DrawOnSignature\n */\n/**\n * @classdesc\n * Interaction for drawing feature geometries.\n *\n * @fires DrawEvent\n * @api\n */\nvar Draw = /** @class */ (function (_super) {\n    __extends(Draw, _super);\n    /**\n     * @param {Options} options Options.\n     */\n    function Draw(options) {\n        var _this = this;\n        var pointerOptions = /** @type {import(\"./Pointer.js\").Options} */ (options);\n        if (!pointerOptions.stopDown) {\n            pointerOptions.stopDown = FALSE;\n        }\n        _this = _super.call(this, pointerOptions) || this;\n        /***\n         * @type {DrawOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {DrawOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {DrawOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.shouldHandle_ = false;\n        /**\n         * @type {import(\"../pixel.js\").Pixel}\n         * @private\n         */\n        _this.downPx_ = null;\n        /**\n         * @type {?}\n         * @private\n         */\n        _this.downTimeout_;\n        /**\n         * @type {number|undefined}\n         * @private\n         */\n        _this.lastDragTime_;\n        /**\n         * Pointer type of the last pointermove event\n         * @type {string}\n         * @private\n         */\n        _this.pointerType_;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.freehand_ = false;\n        /**\n         * Target source for drawn features.\n         * @type {VectorSource}\n         * @private\n         */\n        _this.source_ = options.source ? options.source : null;\n        /**\n         * Target collection for drawn features.\n         * @type {import(\"../Collection.js\").default<Feature>}\n         * @private\n         */\n        _this.features_ = options.features ? options.features : null;\n        /**\n         * Pixel distance for snapping.\n         * @type {number}\n         * @private\n         */\n        _this.snapTolerance_ = options.snapTolerance ? options.snapTolerance : 12;\n        /**\n         * Geometry type.\n         * @type {import(\"../geom/GeometryType.js\").default}\n         * @private\n         */\n        _this.type_ = /** @type {import(\"../geom/GeometryType.js\").default} */ (options.type);\n        /**\n         * Drawing mode (derived from geometry type.\n         * @type {Mode}\n         * @private\n         */\n        _this.mode_ = getMode(_this.type_);\n        /**\n         * Stop click, singleclick, and doubleclick events from firing during drawing.\n         * Default is `false`.\n         * @type {boolean}\n         * @private\n         */\n        _this.stopClick_ = !!options.stopClick;\n        /**\n         * The number of points that must be drawn before a polygon ring or line\n         * string can be finished.  The default is 3 for polygon rings and 2 for\n         * line strings.\n         * @type {number}\n         * @private\n         */\n        _this.minPoints_ = options.minPoints\n            ? options.minPoints\n            : _this.mode_ === Mode.POLYGON\n                ? 3\n                : 2;\n        /**\n         * The number of points that can be drawn before a polygon ring or line string\n         * is finished. The default is no restriction.\n         * @type {number}\n         * @private\n         */\n        _this.maxPoints_ =\n            _this.mode_ === Mode.CIRCLE\n                ? 2\n                : options.maxPoints\n                    ? options.maxPoints\n                    : Infinity;\n        /**\n         * A function to decide if a potential finish coordinate is permissible\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.finishCondition_ = options.finishCondition\n            ? options.finishCondition\n            : TRUE;\n        var geometryFunction = options.geometryFunction;\n        if (!geometryFunction) {\n            var mode_1 = _this.mode_;\n            if (mode_1 === Mode.CIRCLE) {\n                /**\n                 * @param {!LineCoordType} coordinates The coordinates.\n                 * @param {import(\"../geom/SimpleGeometry.js\").default|undefined} geometry Optional geometry.\n                 * @param {import(\"../proj/Projection.js\").default} projection The view projection.\n                 * @return {import(\"../geom/SimpleGeometry.js\").default} A geometry.\n                 */\n                geometryFunction = function (coordinates, geometry, projection) {\n                    var circle = geometry\n                        ? /** @type {Circle} */ (geometry)\n                        : new Circle([NaN, NaN]);\n                    var center = fromUserCoordinate(coordinates[0], projection);\n                    var squaredLength = squaredCoordinateDistance(center, fromUserCoordinate(coordinates[coordinates.length - 1], projection));\n                    circle.setCenterAndRadius(center, Math.sqrt(squaredLength));\n                    var userProjection = getUserProjection();\n                    if (userProjection) {\n                        circle.transform(projection, userProjection);\n                    }\n                    return circle;\n                };\n            }\n            else {\n                var Constructor_1;\n                if (mode_1 === Mode.POINT) {\n                    Constructor_1 = Point;\n                }\n                else if (mode_1 === Mode.LINE_STRING) {\n                    Constructor_1 = LineString;\n                }\n                else if (mode_1 === Mode.POLYGON) {\n                    Constructor_1 = Polygon;\n                }\n                /**\n                 * @param {!LineCoordType} coordinates The coordinates.\n                 * @param {import(\"../geom/SimpleGeometry.js\").default|undefined} geometry Optional geometry.\n                 * @param {import(\"../proj/Projection.js\").default} projection The view projection.\n                 * @return {import(\"../geom/SimpleGeometry.js\").default} A geometry.\n                 */\n                geometryFunction = function (coordinates, geometry, projection) {\n                    if (geometry) {\n                        if (mode_1 === Mode.POLYGON) {\n                            if (coordinates[0].length) {\n                                // Add a closing coordinate to match the first\n                                geometry.setCoordinates([\n                                    coordinates[0].concat([coordinates[0][0]]),\n                                ]);\n                            }\n                            else {\n                                geometry.setCoordinates([]);\n                            }\n                        }\n                        else {\n                            geometry.setCoordinates(coordinates);\n                        }\n                    }\n                    else {\n                        geometry = new Constructor_1(coordinates);\n                    }\n                    return geometry;\n                };\n            }\n        }\n        /**\n         * @type {GeometryFunction}\n         * @private\n         */\n        _this.geometryFunction_ = geometryFunction;\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.dragVertexDelay_ =\n            options.dragVertexDelay !== undefined ? options.dragVertexDelay : 500;\n        /**\n         * Finish coordinate for the feature (first point for polygons, last point for\n         * linestrings).\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @private\n         */\n        _this.finishCoordinate_ = null;\n        /**\n         * Sketch feature.\n         * @type {Feature}\n         * @private\n         */\n        _this.sketchFeature_ = null;\n        /**\n         * Sketch point.\n         * @type {Feature<Point>}\n         * @private\n         */\n        _this.sketchPoint_ = null;\n        /**\n         * Sketch coordinates. Used when drawing a line or polygon.\n         * @type {SketchCoordType}\n         * @private\n         */\n        _this.sketchCoords_ = null;\n        /**\n         * Sketch line. Used when drawing polygon.\n         * @type {Feature<LineString>}\n         * @private\n         */\n        _this.sketchLine_ = null;\n        /**\n         * Sketch line coordinates. Used when drawing a polygon or circle.\n         * @type {LineCoordType}\n         * @private\n         */\n        _this.sketchLineCoords_ = null;\n        /**\n         * Squared tolerance for handling up events.  If the squared distance\n         * between a down and up event is greater than this tolerance, up events\n         * will not be handled.\n         * @type {number}\n         * @private\n         */\n        _this.squaredClickTolerance_ = options.clickTolerance\n            ? options.clickTolerance * options.clickTolerance\n            : 36;\n        /**\n         * Draw overlay where our sketch features are drawn.\n         * @type {VectorLayer}\n         * @private\n         */\n        _this.overlay_ = new VectorLayer({\n            source: new VectorSource({\n                useSpatialIndex: false,\n                wrapX: options.wrapX ? options.wrapX : false,\n            }),\n            style: options.style ? options.style : getDefaultStyleFunction(),\n            updateWhileInteracting: true,\n        });\n        /**\n         * Name of the geometry attribute for newly created features.\n         * @type {string|undefined}\n         * @private\n         */\n        _this.geometryName_ = options.geometryName;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : noModifierKeys;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.freehandCondition_;\n        if (options.freehand) {\n            _this.freehandCondition_ = always;\n        }\n        else {\n            _this.freehandCondition_ = options.freehandCondition\n                ? options.freehandCondition\n                : shiftKeyOnly;\n        }\n        _this.addChangeListener(InteractionProperty.ACTIVE, _this.updateState_);\n        return _this;\n    }\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Draw.prototype.setMap = function (map) {\n        _super.prototype.setMap.call(this, map);\n        this.updateState_();\n    };\n    /**\n     * Get the overlay layer that this interaction renders sketch features to.\n     * @return {VectorLayer} Overlay layer.\n     * @api\n     */\n    Draw.prototype.getOverlay = function () {\n        return this.overlay_;\n    };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} and may actually draw or finish the drawing.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @api\n     */\n    Draw.prototype.handleEvent = function (event) {\n        if (event.originalEvent.type === EventType.CONTEXTMENU) {\n            // Avoid context menu for long taps when drawing on mobile\n            event.originalEvent.preventDefault();\n        }\n        this.freehand_ =\n            this.mode_ !== Mode.POINT && this.freehandCondition_(event);\n        var move = event.type === MapBrowserEventType.POINTERMOVE;\n        var pass = true;\n        if (!this.freehand_ &&\n            this.lastDragTime_ &&\n            event.type === MapBrowserEventType.POINTERDRAG) {\n            var now = Date.now();\n            if (now - this.lastDragTime_ >= this.dragVertexDelay_) {\n                this.downPx_ = event.pixel;\n                this.shouldHandle_ = !this.freehand_;\n                move = true;\n            }\n            else {\n                this.lastDragTime_ = undefined;\n            }\n            if (this.shouldHandle_ && this.downTimeout_ !== undefined) {\n                clearTimeout(this.downTimeout_);\n                this.downTimeout_ = undefined;\n            }\n        }\n        if (this.freehand_ &&\n            event.type === MapBrowserEventType.POINTERDRAG &&\n            this.sketchFeature_ !== null) {\n            this.addToDrawing_(event.coordinate);\n            pass = false;\n        }\n        else if (this.freehand_ &&\n            event.type === MapBrowserEventType.POINTERDOWN) {\n            pass = false;\n        }\n        else if (move && this.getPointerCount() < 2) {\n            pass = event.type === MapBrowserEventType.POINTERMOVE;\n            if (pass && this.freehand_) {\n                this.handlePointerMove_(event);\n                if (this.shouldHandle_) {\n                    // Avoid page scrolling when freehand drawing on mobile\n                    event.originalEvent.preventDefault();\n                }\n            }\n            else if (event.originalEvent.pointerType === 'mouse' ||\n                (event.type === MapBrowserEventType.POINTERDRAG &&\n                    this.downTimeout_ === undefined)) {\n                this.handlePointerMove_(event);\n            }\n        }\n        else if (event.type === MapBrowserEventType.DBLCLICK) {\n            pass = false;\n        }\n        return _super.prototype.handleEvent.call(this, event) && pass;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Draw.prototype.handleDownEvent = function (event) {\n        this.shouldHandle_ = !this.freehand_;\n        if (this.freehand_) {\n            this.downPx_ = event.pixel;\n            if (!this.finishCoordinate_) {\n                this.startDrawing_(event.coordinate);\n            }\n            return true;\n        }\n        else if (this.condition_(event)) {\n            this.lastDragTime_ = Date.now();\n            this.downTimeout_ = setTimeout(function () {\n                this.handlePointerMove_(new MapBrowserEvent(MapBrowserEventType.POINTERMOVE, event.map, event.originalEvent, false, event.frameState));\n            }.bind(this), this.dragVertexDelay_);\n            this.downPx_ = event.pixel;\n            return true;\n        }\n        else {\n            this.lastDragTime_ = undefined;\n            return false;\n        }\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Draw.prototype.handleUpEvent = function (event) {\n        var pass = true;\n        if (this.getPointerCount() === 0) {\n            if (this.downTimeout_) {\n                clearTimeout(this.downTimeout_);\n                this.downTimeout_ = undefined;\n            }\n            this.handlePointerMove_(event);\n            if (this.shouldHandle_) {\n                var startingToDraw = !this.finishCoordinate_;\n                if (startingToDraw) {\n                    this.startDrawing_(event.coordinate);\n                }\n                if (!startingToDraw && this.freehand_) {\n                    this.finishDrawing();\n                }\n                else if (!this.freehand_ &&\n                    (!startingToDraw || this.mode_ === Mode.POINT)) {\n                    if (this.atFinish_(event.pixel)) {\n                        if (this.finishCondition_(event)) {\n                            this.finishDrawing();\n                        }\n                    }\n                    else {\n                        this.addToDrawing_(event.coordinate);\n                    }\n                }\n                pass = false;\n            }\n            else if (this.freehand_) {\n                this.abortDrawing();\n            }\n        }\n        if (!pass && this.stopClick_) {\n            event.preventDefault();\n        }\n        return pass;\n    };\n    /**\n     * Handle move events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event A move event.\n     * @private\n     */\n    Draw.prototype.handlePointerMove_ = function (event) {\n        this.pointerType_ = event.originalEvent.pointerType;\n        if (this.downPx_ &&\n            ((!this.freehand_ && this.shouldHandle_) ||\n                (this.freehand_ && !this.shouldHandle_))) {\n            var downPx = this.downPx_;\n            var clickPx = event.pixel;\n            var dx = downPx[0] - clickPx[0];\n            var dy = downPx[1] - clickPx[1];\n            var squaredDistance = dx * dx + dy * dy;\n            this.shouldHandle_ = this.freehand_\n                ? squaredDistance > this.squaredClickTolerance_\n                : squaredDistance <= this.squaredClickTolerance_;\n            if (!this.shouldHandle_) {\n                return;\n            }\n        }\n        if (this.finishCoordinate_) {\n            this.modifyDrawing_(event.coordinate);\n        }\n        else {\n            this.createOrUpdateSketchPoint_(event.coordinate.slice());\n        }\n    };\n    /**\n     * Determine if an event is within the snapping tolerance of the start coord.\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @return {boolean} The event is within the snapping tolerance of the start.\n     * @private\n     */\n    Draw.prototype.atFinish_ = function (pixel) {\n        var at = false;\n        if (this.sketchFeature_) {\n            var potentiallyDone = false;\n            var potentiallyFinishCoordinates = [this.finishCoordinate_];\n            var mode = this.mode_;\n            if (mode === Mode.POINT) {\n                at = true;\n            }\n            else if (mode === Mode.CIRCLE) {\n                at = this.sketchCoords_.length === 2;\n            }\n            else if (mode === Mode.LINE_STRING) {\n                potentiallyDone = this.sketchCoords_.length > this.minPoints_;\n            }\n            else if (mode === Mode.POLYGON) {\n                var sketchCoords = /** @type {PolyCoordType} */ (this.sketchCoords_);\n                potentiallyDone = sketchCoords[0].length > this.minPoints_;\n                potentiallyFinishCoordinates = [\n                    sketchCoords[0][0],\n                    sketchCoords[0][sketchCoords[0].length - 2],\n                ];\n            }\n            if (potentiallyDone) {\n                var map = this.getMap();\n                for (var i = 0, ii = potentiallyFinishCoordinates.length; i < ii; i++) {\n                    var finishCoordinate = potentiallyFinishCoordinates[i];\n                    var finishPixel = map.getPixelFromCoordinate(finishCoordinate);\n                    var dx = pixel[0] - finishPixel[0];\n                    var dy = pixel[1] - finishPixel[1];\n                    var snapTolerance = this.freehand_ ? 1 : this.snapTolerance_;\n                    at = Math.sqrt(dx * dx + dy * dy) <= snapTolerance;\n                    if (at) {\n                        this.finishCoordinate_ = finishCoordinate;\n                        break;\n                    }\n                }\n            }\n        }\n        return at;\n    };\n    /**\n     * @param {import(\"../coordinate\").Coordinate} coordinates Coordinate.\n     * @private\n     */\n    Draw.prototype.createOrUpdateSketchPoint_ = function (coordinates) {\n        if (!this.sketchPoint_) {\n            this.sketchPoint_ = new Feature(new Point(coordinates));\n            this.updateSketchFeatures_();\n        }\n        else {\n            var sketchPointGeom = this.sketchPoint_.getGeometry();\n            sketchPointGeom.setCoordinates(coordinates);\n        }\n    };\n    /**\n     * @param {import(\"../geom/Polygon.js\").default} geometry Polygon geometry.\n     * @private\n     */\n    Draw.prototype.createOrUpdateCustomSketchLine_ = function (geometry) {\n        if (!this.sketchLine_) {\n            this.sketchLine_ = new Feature();\n        }\n        var ring = geometry.getLinearRing(0);\n        var sketchLineGeom = this.sketchLine_.getGeometry();\n        if (!sketchLineGeom) {\n            sketchLineGeom = new LineString(ring.getFlatCoordinates(), ring.getLayout());\n            this.sketchLine_.setGeometry(sketchLineGeom);\n        }\n        else {\n            sketchLineGeom.setFlatCoordinates(ring.getLayout(), ring.getFlatCoordinates());\n            sketchLineGeom.changed();\n        }\n    };\n    /**\n     * Start the drawing.\n     * @param {import(\"../coordinate.js\").Coordinate} start Start coordinate.\n     * @private\n     */\n    Draw.prototype.startDrawing_ = function (start) {\n        var projection = this.getMap().getView().getProjection();\n        this.finishCoordinate_ = start;\n        if (this.mode_ === Mode.POINT) {\n            this.sketchCoords_ = start.slice();\n        }\n        else if (this.mode_ === Mode.POLYGON) {\n            this.sketchCoords_ = [[start.slice(), start.slice()]];\n            this.sketchLineCoords_ = this.sketchCoords_[0];\n        }\n        else {\n            this.sketchCoords_ = [start.slice(), start.slice()];\n        }\n        if (this.sketchLineCoords_) {\n            this.sketchLine_ = new Feature(new LineString(this.sketchLineCoords_));\n        }\n        var geometry = this.geometryFunction_(this.sketchCoords_, undefined, projection);\n        this.sketchFeature_ = new Feature();\n        if (this.geometryName_) {\n            this.sketchFeature_.setGeometryName(this.geometryName_);\n        }\n        this.sketchFeature_.setGeometry(geometry);\n        this.updateSketchFeatures_();\n        this.dispatchEvent(new DrawEvent(DrawEventType.DRAWSTART, this.sketchFeature_));\n    };\n    /**\n     * Modify the drawing.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @private\n     */\n    Draw.prototype.modifyDrawing_ = function (coordinate) {\n        var map = this.getMap();\n        var geometry = this.sketchFeature_.getGeometry();\n        var projection = map.getView().getProjection();\n        var coordinates, last;\n        if (this.mode_ === Mode.POINT) {\n            last = this.sketchCoords_;\n        }\n        else if (this.mode_ === Mode.POLYGON) {\n            coordinates = /** @type {PolyCoordType} */ (this.sketchCoords_)[0];\n            last = coordinates[coordinates.length - 1];\n            if (this.atFinish_(map.getPixelFromCoordinate(coordinate))) {\n                // snap to finish\n                coordinate = this.finishCoordinate_.slice();\n            }\n        }\n        else {\n            coordinates = this.sketchCoords_;\n            last = coordinates[coordinates.length - 1];\n        }\n        last[0] = coordinate[0];\n        last[1] = coordinate[1];\n        this.geometryFunction_(\n        /** @type {!LineCoordType} */ (this.sketchCoords_), geometry, projection);\n        if (this.sketchPoint_) {\n            var sketchPointGeom = this.sketchPoint_.getGeometry();\n            sketchPointGeom.setCoordinates(coordinate);\n        }\n        if (geometry.getType() === GeometryType.POLYGON &&\n            this.mode_ !== Mode.POLYGON) {\n            this.createOrUpdateCustomSketchLine_(/** @type {Polygon} */ (geometry));\n        }\n        else if (this.sketchLineCoords_) {\n            var sketchLineGeom = this.sketchLine_.getGeometry();\n            sketchLineGeom.setCoordinates(this.sketchLineCoords_);\n        }\n        this.updateSketchFeatures_();\n    };\n    /**\n     * Add a new coordinate to the drawing.\n     * @param {!PointCoordType} coordinate Coordinate\n     * @private\n     */\n    Draw.prototype.addToDrawing_ = function (coordinate) {\n        var geometry = this.sketchFeature_.getGeometry();\n        var projection = this.getMap().getView().getProjection();\n        var done;\n        var coordinates;\n        var mode = this.mode_;\n        if (mode === Mode.LINE_STRING || mode === Mode.CIRCLE) {\n            this.finishCoordinate_ = coordinate.slice();\n            coordinates = /** @type {LineCoordType} */ (this.sketchCoords_);\n            if (coordinates.length >= this.maxPoints_) {\n                if (this.freehand_) {\n                    coordinates.pop();\n                }\n                else {\n                    done = true;\n                }\n            }\n            coordinates.push(coordinate.slice());\n            this.geometryFunction_(coordinates, geometry, projection);\n        }\n        else if (mode === Mode.POLYGON) {\n            coordinates = /** @type {PolyCoordType} */ (this.sketchCoords_)[0];\n            if (coordinates.length >= this.maxPoints_) {\n                if (this.freehand_) {\n                    coordinates.pop();\n                }\n                else {\n                    done = true;\n                }\n            }\n            coordinates.push(coordinate.slice());\n            if (done) {\n                this.finishCoordinate_ = coordinates[0];\n            }\n            this.geometryFunction_(this.sketchCoords_, geometry, projection);\n        }\n        this.createOrUpdateSketchPoint_(coordinate.slice());\n        this.updateSketchFeatures_();\n        if (done) {\n            this.finishDrawing();\n        }\n    };\n    /**\n     * Remove last point of the feature currently being drawn. Does not do anything when\n     * drawing POINT or MULTI_POINT geometries.\n     * @api\n     */\n    Draw.prototype.removeLastPoint = function () {\n        if (!this.sketchFeature_) {\n            return;\n        }\n        var geometry = this.sketchFeature_.getGeometry();\n        var projection = this.getMap().getView().getProjection();\n        var coordinates;\n        var mode = this.mode_;\n        if (mode === Mode.LINE_STRING || mode === Mode.CIRCLE) {\n            coordinates = /** @type {LineCoordType} */ (this.sketchCoords_);\n            coordinates.splice(-2, 1);\n            if (coordinates.length >= 2) {\n                this.finishCoordinate_ = coordinates[coordinates.length - 2].slice();\n                var finishCoordinate = this.finishCoordinate_.slice();\n                coordinates[coordinates.length - 1] = finishCoordinate;\n                this.createOrUpdateSketchPoint_(finishCoordinate);\n            }\n            this.geometryFunction_(coordinates, geometry, projection);\n            if (geometry.getType() === GeometryType.POLYGON && this.sketchLine_) {\n                this.createOrUpdateCustomSketchLine_(/** @type {Polygon} */ (geometry));\n            }\n        }\n        else if (mode === Mode.POLYGON) {\n            coordinates = /** @type {PolyCoordType} */ (this.sketchCoords_)[0];\n            coordinates.splice(-2, 1);\n            var sketchLineGeom = this.sketchLine_.getGeometry();\n            if (coordinates.length >= 2) {\n                var finishCoordinate = coordinates[coordinates.length - 2].slice();\n                coordinates[coordinates.length - 1] = finishCoordinate;\n                this.createOrUpdateSketchPoint_(finishCoordinate);\n            }\n            sketchLineGeom.setCoordinates(coordinates);\n            this.geometryFunction_(this.sketchCoords_, geometry, projection);\n        }\n        if (coordinates.length === 1) {\n            this.abortDrawing();\n        }\n        this.updateSketchFeatures_();\n    };\n    /**\n     * Stop drawing and add the sketch feature to the target layer.\n     * The {@link module:ol/interaction/Draw~DrawEventType.DRAWEND} event is\n     * dispatched before inserting the feature.\n     * @api\n     */\n    Draw.prototype.finishDrawing = function () {\n        var sketchFeature = this.abortDrawing_();\n        if (!sketchFeature) {\n            return;\n        }\n        var coordinates = this.sketchCoords_;\n        var geometry = sketchFeature.getGeometry();\n        var projection = this.getMap().getView().getProjection();\n        if (this.mode_ === Mode.LINE_STRING) {\n            // remove the redundant last point\n            coordinates.pop();\n            this.geometryFunction_(coordinates, geometry, projection);\n        }\n        else if (this.mode_ === Mode.POLYGON) {\n            // remove the redundant last point in ring\n            /** @type {PolyCoordType} */ (coordinates)[0].pop();\n            this.geometryFunction_(coordinates, geometry, projection);\n            coordinates = geometry.getCoordinates();\n        }\n        // cast multi-part geometries\n        if (this.type_ === GeometryType.MULTI_POINT) {\n            sketchFeature.setGeometry(new MultiPoint([/** @type {PointCoordType} */ (coordinates)]));\n        }\n        else if (this.type_ === GeometryType.MULTI_LINE_STRING) {\n            sketchFeature.setGeometry(new MultiLineString([/** @type {LineCoordType} */ (coordinates)]));\n        }\n        else if (this.type_ === GeometryType.MULTI_POLYGON) {\n            sketchFeature.setGeometry(new MultiPolygon([/** @type {PolyCoordType} */ (coordinates)]));\n        }\n        // First dispatch event to allow full set up of feature\n        this.dispatchEvent(new DrawEvent(DrawEventType.DRAWEND, sketchFeature));\n        // Then insert feature\n        if (this.features_) {\n            this.features_.push(sketchFeature);\n        }\n        if (this.source_) {\n            this.source_.addFeature(sketchFeature);\n        }\n    };\n    /**\n     * Stop drawing without adding the sketch feature to the target layer.\n     * @return {Feature} The sketch feature (or null if none).\n     * @private\n     */\n    Draw.prototype.abortDrawing_ = function () {\n        this.finishCoordinate_ = null;\n        var sketchFeature = this.sketchFeature_;\n        this.sketchFeature_ = null;\n        this.sketchPoint_ = null;\n        this.sketchLine_ = null;\n        this.overlay_.getSource().clear(true);\n        return sketchFeature;\n    };\n    /**\n     * Stop drawing without adding the sketch feature to the target layer.\n     * @api\n     */\n    Draw.prototype.abortDrawing = function () {\n        var sketchFeature = this.abortDrawing_();\n        if (sketchFeature) {\n            this.dispatchEvent(new DrawEvent(DrawEventType.DRAWABORT, sketchFeature));\n        }\n    };\n    /**\n     * Append coordinates to the end of the geometry that is currently being drawn.\n     * This can be used when drawing LineStrings or Polygons. Coordinates will\n     * either be appended to the current LineString or the outer ring of the current\n     * Polygon. If no geometry is being drawn, a new one will be created.\n     * @param {!LineCoordType} coordinates Linear coordinates to be appended to\n     * the coordinate array.\n     * @api\n     */\n    Draw.prototype.appendCoordinates = function (coordinates) {\n        var mode = this.mode_;\n        var newDrawing = !this.sketchFeature_;\n        if (newDrawing) {\n            this.startDrawing_(coordinates[0]);\n        }\n        /** @type {LineCoordType} */\n        var sketchCoords;\n        if (mode === Mode.LINE_STRING || mode === Mode.CIRCLE) {\n            sketchCoords = /** @type {LineCoordType} */ (this.sketchCoords_);\n        }\n        else if (mode === Mode.POLYGON) {\n            sketchCoords =\n                this.sketchCoords_ && this.sketchCoords_.length\n                    ? /** @type {PolyCoordType} */ (this.sketchCoords_)[0]\n                    : [];\n        }\n        else {\n            return;\n        }\n        if (newDrawing) {\n            sketchCoords.shift();\n        }\n        // Remove last coordinate from sketch drawing (this coordinate follows cursor position)\n        sketchCoords.pop();\n        // Append coordinate list\n        for (var i = 0; i < coordinates.length; i++) {\n            this.addToDrawing_(coordinates[i]);\n        }\n        var ending = coordinates[coordinates.length - 1];\n        // Duplicate last coordinate for sketch drawing (cursor position)\n        this.addToDrawing_(ending);\n        this.modifyDrawing_(ending);\n    };\n    /**\n     * Initiate draw mode by starting from an existing geometry which will\n     * receive new additional points. This only works on features with\n     * `LineString` geometries, where the interaction will extend lines by adding\n     * points to the end of the coordinates array.\n     * This will change the original feature, instead of drawing a copy.\n     *\n     * The function will dispatch a `drawstart` event.\n     *\n     * @param {!Feature<LineString>} feature Feature to be extended.\n     * @api\n     */\n    Draw.prototype.extend = function (feature) {\n        var geometry = feature.getGeometry();\n        var lineString = geometry;\n        this.sketchFeature_ = feature;\n        this.sketchCoords_ = lineString.getCoordinates();\n        var last = this.sketchCoords_[this.sketchCoords_.length - 1];\n        this.finishCoordinate_ = last.slice();\n        this.sketchCoords_.push(last.slice());\n        this.sketchPoint_ = new Feature(new Point(last));\n        this.updateSketchFeatures_();\n        this.dispatchEvent(new DrawEvent(DrawEventType.DRAWSTART, this.sketchFeature_));\n    };\n    /**\n     * Redraw the sketch features.\n     * @private\n     */\n    Draw.prototype.updateSketchFeatures_ = function () {\n        var sketchFeatures = [];\n        if (this.sketchFeature_) {\n            sketchFeatures.push(this.sketchFeature_);\n        }\n        if (this.sketchLine_) {\n            sketchFeatures.push(this.sketchLine_);\n        }\n        if (this.sketchPoint_) {\n            sketchFeatures.push(this.sketchPoint_);\n        }\n        var overlaySource = this.overlay_.getSource();\n        overlaySource.clear(true);\n        overlaySource.addFeatures(sketchFeatures);\n    };\n    /**\n     * @private\n     */\n    Draw.prototype.updateState_ = function () {\n        var map = this.getMap();\n        var active = this.getActive();\n        if (!map || !active) {\n            this.abortDrawing();\n        }\n        this.overlay_.setMap(active ? map : null);\n    };\n    return Draw;\n}(PointerInteraction));\n/**\n * @return {import(\"../style/Style.js\").StyleFunction} Styles.\n */\nfunction getDefaultStyleFunction() {\n    var styles = createEditingStyle();\n    return function (feature, resolution) {\n        return styles[feature.getGeometry().getType()];\n    };\n}\n/**\n * Create a `geometryFunction` for `type: 'Circle'` that will create a regular\n * polygon with a user specified number of sides and start angle instead of a\n * `import(\"../geom/Circle.js\").Circle` geometry.\n * @param {number} [opt_sides] Number of sides of the regular polygon.\n *     Default is 32.\n * @param {number} [opt_angle] Angle of the first point in counter-clockwise\n *     radians. 0 means East.\n *     Default is the angle defined by the heading from the center of the\n *     regular polygon to the current pointer position.\n * @return {GeometryFunction} Function that draws a polygon.\n * @api\n */\nexport function createRegularPolygon(opt_sides, opt_angle) {\n    return function (coordinates, opt_geometry, projection) {\n        var center = fromUserCoordinate(\n        /** @type {LineCoordType} */ (coordinates)[0], projection);\n        var end = fromUserCoordinate(\n        /** @type {LineCoordType} */ (coordinates)[coordinates.length - 1], projection);\n        var radius = Math.sqrt(squaredCoordinateDistance(center, end));\n        var geometry = opt_geometry\n            ? /** @type {Polygon} */ (opt_geometry)\n            : fromCircle(new Circle(center), opt_sides);\n        var angle = opt_angle;\n        if (!opt_angle && opt_angle !== 0) {\n            var x = end[0] - center[0];\n            var y = end[1] - center[1];\n            angle = Math.atan2(y, x);\n        }\n        makeRegular(geometry, center, radius, angle);\n        var userProjection = getUserProjection();\n        if (userProjection) {\n            geometry.transform(projection, userProjection);\n        }\n        return geometry;\n    };\n}\n/**\n * Create a `geometryFunction` that will create a box-shaped polygon (aligned\n * with the coordinate system axes).  Use this with the draw interaction and\n * `type: 'Circle'` to return a box instead of a circle geometry.\n * @return {GeometryFunction} Function that draws a box-shaped polygon.\n * @api\n */\nexport function createBox() {\n    return function (coordinates, opt_geometry, projection) {\n        var extent = boundingExtent(\n        /** @type {LineCoordType} */ ([\n            coordinates[0],\n            coordinates[coordinates.length - 1],\n        ]).map(function (coordinate) {\n            return fromUserCoordinate(coordinate, projection);\n        }));\n        var boxCoordinates = [\n            [\n                getBottomLeft(extent),\n                getBottomRight(extent),\n                getTopRight(extent),\n                getTopLeft(extent),\n                getBottomLeft(extent),\n            ],\n        ];\n        var geometry = opt_geometry;\n        if (geometry) {\n            geometry.setCoordinates(boxCoordinates);\n        }\n        else {\n            geometry = new Polygon(boxCoordinates);\n        }\n        var userProjection = getUserProjection();\n        if (userProjection) {\n            geometry.transform(projection, userProjection);\n        }\n        return geometry;\n    };\n}\n/**\n * Get the drawing mode.  The mode for multi-part geometries is the same as for\n * their single-part cousins.\n * @param {import(\"../geom/GeometryType.js\").default} type Geometry type.\n * @return {Mode} Drawing mode.\n */\nfunction getMode(type) {\n    switch (type) {\n        case GeometryType.POINT:\n        case GeometryType.MULTI_POINT:\n            return Mode.POINT;\n        case GeometryType.LINE_STRING:\n        case GeometryType.MULTI_LINE_STRING:\n            return Mode.LINE_STRING;\n        case GeometryType.POLYGON:\n        case GeometryType.MULTI_POLYGON:\n            return Mode.POLYGON;\n        case GeometryType.CIRCLE:\n            return Mode.CIRCLE;\n        default:\n            throw new Error('Invalid type: ' + type);\n    }\n}\nexport default Draw;\n//# sourceMappingURL=Draw.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Extent\n */\nimport Event from '../events/Event.js';\nimport Feature from '../Feature.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport MapBrowserEventType from '../MapBrowserEventType.js';\nimport Point from '../geom/Point.js';\nimport PointerInteraction from './Pointer.js';\nimport VectorLayer from '../layer/Vector.js';\nimport VectorSource from '../source/Vector.js';\nimport { always } from '../events/condition.js';\nimport { boundingExtent, getArea } from '../extent.js';\nimport { closestOnSegment, distance as coordinateDistance, squaredDistance as squaredCoordinateDistance, squaredDistanceToSegment, } from '../coordinate.js';\nimport { createEditingStyle } from '../style/Style.js';\nimport { fromExtent as polygonFromExtent } from '../geom/Polygon.js';\nimport { toUserExtent } from '../proj.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.always}.\n * @property {import(\"../extent.js\").Extent} [extent] Initial extent. Defaults to no\n * initial extent.\n * @property {import(\"../style/Style.js\").StyleLike} [boxStyle]\n * Style for the drawn extent box. Defaults to the `Polygon` editing style\n * documented in {@link module:ol/style/Style~Style}\n * @property {number} [pixelTolerance=10] Pixel tolerance for considering the\n * pointer close enough to a segment or vertex for editing.\n * @property {import(\"../style/Style.js\").StyleLike} [pointerStyle]\n * Style for the cursor used to draw the extent. Defaults to the `Point` editing style\n * documented in {@link module:ol/style/Style~Style}\n * @property {boolean} [wrapX=false] Wrap the drawn extent across multiple maps\n * in the X direction? Only affects visuals, not functionality.\n */\n/**\n * @enum {string}\n */\nvar ExtentEventType = {\n    /**\n     * Triggered after the extent is changed\n     * @event ExtentEvent#extentchanged\n     * @api\n     */\n    EXTENTCHANGED: 'extentchanged',\n};\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/Extent~Extent} instances are\n * instances of this type.\n */\nvar ExtentEvent = /** @class */ (function (_super) {\n    __extends(ExtentEvent, _super);\n    /**\n     * @param {import(\"../extent.js\").Extent} extent the new extent\n     */\n    function ExtentEvent(extent) {\n        var _this = _super.call(this, ExtentEventType.EXTENTCHANGED) || this;\n        /**\n         * The current extent.\n         * @type {import(\"../extent.js\").Extent}\n         * @api\n         */\n        _this.extent = extent;\n        return _this;\n    }\n    return ExtentEvent;\n}(Event));\nexport { ExtentEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'extentchanged', ExtentEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'extentchanged', Return>} ExtentOnSignature\n */\n/**\n * @classdesc\n * Allows the user to draw a vector box by clicking and dragging on the map.\n * Once drawn, the vector box can be modified by dragging its vertices or edges.\n * This interaction is only supported for mouse devices.\n *\n * @fires ExtentEvent\n * @api\n */\nvar Extent = /** @class */ (function (_super) {\n    __extends(Extent, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Extent(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        _this = _super.call(this, /** @type {import(\"./Pointer.js\").Options} */ (options)) || this;\n        /***\n         * @type {ExtentOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ExtentOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ExtentOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * Condition\n         * @type {import(\"../events/condition.js\").Condition}\n         * @private\n         */\n        _this.condition_ = options.condition ? options.condition : always;\n        /**\n         * Extent of the drawn box\n         * @type {import(\"../extent.js\").Extent}\n         * @private\n         */\n        _this.extent_ = null;\n        /**\n         * Handler for pointer move events\n         * @type {function (import(\"../coordinate.js\").Coordinate): import(\"../extent.js\").Extent|null}\n         * @private\n         */\n        _this.pointerHandler_ = null;\n        /**\n         * Pixel threshold to snap to extent\n         * @type {number}\n         * @private\n         */\n        _this.pixelTolerance_ =\n            options.pixelTolerance !== undefined ? options.pixelTolerance : 10;\n        /**\n         * Is the pointer snapped to an extent vertex\n         * @type {boolean}\n         * @private\n         */\n        _this.snappedToVertex_ = false;\n        /**\n         * Feature for displaying the visible extent\n         * @type {Feature}\n         * @private\n         */\n        _this.extentFeature_ = null;\n        /**\n         * Feature for displaying the visible pointer\n         * @type {Feature<Point>}\n         * @private\n         */\n        _this.vertexFeature_ = null;\n        if (!opt_options) {\n            opt_options = {};\n        }\n        /**\n         * Layer for the extentFeature\n         * @type {VectorLayer}\n         * @private\n         */\n        _this.extentOverlay_ = new VectorLayer({\n            source: new VectorSource({\n                useSpatialIndex: false,\n                wrapX: !!opt_options.wrapX,\n            }),\n            style: opt_options.boxStyle\n                ? opt_options.boxStyle\n                : getDefaultExtentStyleFunction(),\n            updateWhileAnimating: true,\n            updateWhileInteracting: true,\n        });\n        /**\n         * Layer for the vertexFeature\n         * @type {VectorLayer}\n         * @private\n         */\n        _this.vertexOverlay_ = new VectorLayer({\n            source: new VectorSource({\n                useSpatialIndex: false,\n                wrapX: !!opt_options.wrapX,\n            }),\n            style: opt_options.pointerStyle\n                ? opt_options.pointerStyle\n                : getDefaultPointerStyleFunction(),\n            updateWhileAnimating: true,\n            updateWhileInteracting: true,\n        });\n        if (opt_options.extent) {\n            _this.setExtent(opt_options.extent);\n        }\n        return _this;\n    }\n    /**\n     * @param {import(\"../pixel.js\").Pixel} pixel cursor location\n     * @param {import(\"../PluggableMap.js\").default} map map\n     * @return {import(\"../coordinate.js\").Coordinate|null} snapped vertex on extent\n     * @private\n     */\n    Extent.prototype.snapToVertex_ = function (pixel, map) {\n        var pixelCoordinate = map.getCoordinateFromPixelInternal(pixel);\n        var sortByDistance = function (a, b) {\n            return (squaredDistanceToSegment(pixelCoordinate, a) -\n                squaredDistanceToSegment(pixelCoordinate, b));\n        };\n        var extent = this.getExtentInternal();\n        if (extent) {\n            //convert extents to line segments and find the segment closest to pixelCoordinate\n            var segments = getSegments(extent);\n            segments.sort(sortByDistance);\n            var closestSegment = segments[0];\n            var vertex = closestOnSegment(pixelCoordinate, closestSegment);\n            var vertexPixel = map.getPixelFromCoordinateInternal(vertex);\n            //if the distance is within tolerance, snap to the segment\n            if (coordinateDistance(pixel, vertexPixel) <= this.pixelTolerance_) {\n                //test if we should further snap to a vertex\n                var pixel1 = map.getPixelFromCoordinateInternal(closestSegment[0]);\n                var pixel2 = map.getPixelFromCoordinateInternal(closestSegment[1]);\n                var squaredDist1 = squaredCoordinateDistance(vertexPixel, pixel1);\n                var squaredDist2 = squaredCoordinateDistance(vertexPixel, pixel2);\n                var dist = Math.sqrt(Math.min(squaredDist1, squaredDist2));\n                this.snappedToVertex_ = dist <= this.pixelTolerance_;\n                if (this.snappedToVertex_) {\n                    vertex =\n                        squaredDist1 > squaredDist2 ? closestSegment[1] : closestSegment[0];\n                }\n                return vertex;\n            }\n        }\n        return null;\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent pointer move event\n     * @private\n     */\n    Extent.prototype.handlePointerMove_ = function (mapBrowserEvent) {\n        var pixel = mapBrowserEvent.pixel;\n        var map = mapBrowserEvent.map;\n        var vertex = this.snapToVertex_(pixel, map);\n        if (!vertex) {\n            vertex = map.getCoordinateFromPixelInternal(pixel);\n        }\n        this.createOrUpdatePointerFeature_(vertex);\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent extent\n     * @return {Feature} extent as featrue\n     * @private\n     */\n    Extent.prototype.createOrUpdateExtentFeature_ = function (extent) {\n        var extentFeature = this.extentFeature_;\n        if (!extentFeature) {\n            if (!extent) {\n                extentFeature = new Feature({});\n            }\n            else {\n                extentFeature = new Feature(polygonFromExtent(extent));\n            }\n            this.extentFeature_ = extentFeature;\n            this.extentOverlay_.getSource().addFeature(extentFeature);\n        }\n        else {\n            if (!extent) {\n                extentFeature.setGeometry(undefined);\n            }\n            else {\n                extentFeature.setGeometry(polygonFromExtent(extent));\n            }\n        }\n        return extentFeature;\n    };\n    /**\n     * @param {import(\"../coordinate.js\").Coordinate} vertex location of feature\n     * @return {Feature} vertex as feature\n     * @private\n     */\n    Extent.prototype.createOrUpdatePointerFeature_ = function (vertex) {\n        var vertexFeature = this.vertexFeature_;\n        if (!vertexFeature) {\n            vertexFeature = new Feature(new Point(vertex));\n            this.vertexFeature_ = vertexFeature;\n            this.vertexOverlay_.getSource().addFeature(vertexFeature);\n        }\n        else {\n            var geometry = vertexFeature.getGeometry();\n            geometry.setCoordinates(vertex);\n        }\n        return vertexFeature;\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     */\n    Extent.prototype.handleEvent = function (mapBrowserEvent) {\n        if (!mapBrowserEvent.originalEvent || !this.condition_(mapBrowserEvent)) {\n            return true;\n        }\n        //display pointer (if not dragging)\n        if (mapBrowserEvent.type == MapBrowserEventType.POINTERMOVE &&\n            !this.handlingDownUpSequence) {\n            this.handlePointerMove_(mapBrowserEvent);\n        }\n        //call pointer to determine up/down/drag\n        _super.prototype.handleEvent.call(this, mapBrowserEvent);\n        //return false to stop propagation\n        return false;\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Extent.prototype.handleDownEvent = function (mapBrowserEvent) {\n        var pixel = mapBrowserEvent.pixel;\n        var map = mapBrowserEvent.map;\n        var extent = this.getExtentInternal();\n        var vertex = this.snapToVertex_(pixel, map);\n        //find the extent corner opposite the passed corner\n        var getOpposingPoint = function (point) {\n            var x_ = null;\n            var y_ = null;\n            if (point[0] == extent[0]) {\n                x_ = extent[2];\n            }\n            else if (point[0] == extent[2]) {\n                x_ = extent[0];\n            }\n            if (point[1] == extent[1]) {\n                y_ = extent[3];\n            }\n            else if (point[1] == extent[3]) {\n                y_ = extent[1];\n            }\n            if (x_ !== null && y_ !== null) {\n                return [x_, y_];\n            }\n            return null;\n        };\n        if (vertex && extent) {\n            var x = vertex[0] == extent[0] || vertex[0] == extent[2] ? vertex[0] : null;\n            var y = vertex[1] == extent[1] || vertex[1] == extent[3] ? vertex[1] : null;\n            //snap to point\n            if (x !== null && y !== null) {\n                this.pointerHandler_ = getPointHandler(getOpposingPoint(vertex));\n                //snap to edge\n            }\n            else if (x !== null) {\n                this.pointerHandler_ = getEdgeHandler(getOpposingPoint([x, extent[1]]), getOpposingPoint([x, extent[3]]));\n            }\n            else if (y !== null) {\n                this.pointerHandler_ = getEdgeHandler(getOpposingPoint([extent[0], y]), getOpposingPoint([extent[2], y]));\n            }\n            //no snap - new bbox\n        }\n        else {\n            vertex = map.getCoordinateFromPixelInternal(pixel);\n            this.setExtent([vertex[0], vertex[1], vertex[0], vertex[1]]);\n            this.pointerHandler_ = getPointHandler(vertex);\n        }\n        return true; //event handled; start downup sequence\n    };\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     */\n    Extent.prototype.handleDragEvent = function (mapBrowserEvent) {\n        if (this.pointerHandler_) {\n            var pixelCoordinate = mapBrowserEvent.coordinate;\n            this.setExtent(this.pointerHandler_(pixelCoordinate));\n            this.createOrUpdatePointerFeature_(pixelCoordinate);\n        }\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Extent.prototype.handleUpEvent = function (mapBrowserEvent) {\n        this.pointerHandler_ = null;\n        //If bbox is zero area, set to null;\n        var extent = this.getExtentInternal();\n        if (!extent || getArea(extent) === 0) {\n            this.setExtent(null);\n        }\n        return false; //Stop handling downup sequence\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Extent.prototype.setMap = function (map) {\n        this.extentOverlay_.setMap(map);\n        this.vertexOverlay_.setMap(map);\n        _super.prototype.setMap.call(this, map);\n    };\n    /**\n     * Returns the current drawn extent in the view projection (or user projection if set)\n     *\n     * @return {import(\"../extent.js\").Extent} Drawn extent in the view projection.\n     * @api\n     */\n    Extent.prototype.getExtent = function () {\n        return toUserExtent(this.getExtentInternal(), this.getMap().getView().getProjection());\n    };\n    /**\n     * Returns the current drawn extent in the view projection\n     *\n     * @return {import(\"../extent.js\").Extent} Drawn extent in the view projection.\n     * @api\n     */\n    Extent.prototype.getExtentInternal = function () {\n        return this.extent_;\n    };\n    /**\n     * Manually sets the drawn extent, using the view projection.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent\n     * @api\n     */\n    Extent.prototype.setExtent = function (extent) {\n        //Null extent means no bbox\n        this.extent_ = extent ? extent : null;\n        this.createOrUpdateExtentFeature_(extent);\n        this.dispatchEvent(new ExtentEvent(this.extent_));\n    };\n    return Extent;\n}(PointerInteraction));\n/**\n * Returns the default style for the drawn bbox\n *\n * @return {import(\"../style/Style.js\").StyleFunction} Default Extent style\n */\nfunction getDefaultExtentStyleFunction() {\n    var style = createEditingStyle();\n    return function (feature, resolution) {\n        return style[GeometryType.POLYGON];\n    };\n}\n/**\n * Returns the default style for the pointer\n *\n * @return {import(\"../style/Style.js\").StyleFunction} Default pointer style\n */\nfunction getDefaultPointerStyleFunction() {\n    var style = createEditingStyle();\n    return function (feature, resolution) {\n        return style[GeometryType.POINT];\n    };\n}\n/**\n * @param {import(\"../coordinate.js\").Coordinate} fixedPoint corner that will be unchanged in the new extent\n * @return {function (import(\"../coordinate.js\").Coordinate): import(\"../extent.js\").Extent} event handler\n */\nfunction getPointHandler(fixedPoint) {\n    return function (point) {\n        return boundingExtent([fixedPoint, point]);\n    };\n}\n/**\n * @param {import(\"../coordinate.js\").Coordinate} fixedP1 first corner that will be unchanged in the new extent\n * @param {import(\"../coordinate.js\").Coordinate} fixedP2 second corner that will be unchanged in the new extent\n * @return {function (import(\"../coordinate.js\").Coordinate): import(\"../extent.js\").Extent|null} event handler\n */\nfunction getEdgeHandler(fixedP1, fixedP2) {\n    if (fixedP1[0] == fixedP2[0]) {\n        return function (point) {\n            return boundingExtent([fixedP1, [point[0], fixedP2[1]]]);\n        };\n    }\n    else if (fixedP1[1] == fixedP2[1]) {\n        return function (point) {\n            return boundingExtent([fixedP1, [fixedP2[0], point[1]]]);\n        };\n    }\n    else {\n        return null;\n    }\n}\n/**\n * @param {import(\"../extent.js\").Extent} extent extent\n * @return {Array<Array<import(\"../coordinate.js\").Coordinate>>} extent line segments\n */\nfunction getSegments(extent) {\n    return [\n        [\n            [extent[0], extent[1]],\n            [extent[0], extent[3]],\n        ],\n        [\n            [extent[0], extent[3]],\n            [extent[2], extent[3]],\n        ],\n        [\n            [extent[2], extent[3]],\n            [extent[2], extent[1]],\n        ],\n        [\n            [extent[2], extent[1]],\n            [extent[0], extent[1]],\n        ],\n    ];\n}\nexport default Extent;\n//# sourceMappingURL=Extent.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Modify\n */\nimport Collection from '../Collection.js';\nimport CollectionEventType from '../CollectionEventType.js';\nimport Event from '../events/Event.js';\nimport EventType from '../events/EventType.js';\nimport Feature from '../Feature.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport MapBrowserEventType from '../MapBrowserEventType.js';\nimport Point from '../geom/Point.js';\nimport PointerInteraction from './Pointer.js';\nimport RBush from '../structs/RBush.js';\nimport VectorEventType from '../source/VectorEventType.js';\nimport VectorLayer from '../layer/Vector.js';\nimport VectorSource from '../source/Vector.js';\nimport { altKeyOnly, always, primaryAction, singleClick, } from '../events/condition.js';\nimport { boundingExtent, buffer as bufferExtent, createOrUpdateFromCoordinate as createExtent, } from '../extent.js';\nimport { closestOnSegment, distance as coordinateDistance, equals as coordinatesEqual, squaredDistance as squaredCoordinateDistance, squaredDistanceToSegment, } from '../coordinate.js';\nimport { createEditingStyle } from '../style/Style.js';\nimport { equals, includes } from '../array.js';\nimport { fromCircle } from '../geom/Polygon.js';\nimport { fromUserCoordinate, fromUserExtent, getUserProjection, toUserCoordinate, toUserExtent, } from '../proj.js';\nimport { getUid } from '../util.js';\n/**\n * The segment index assigned to a circle's center when\n * breaking up a circle into ModifySegmentDataType segments.\n * @type {number}\n */\nvar CIRCLE_CENTER_INDEX = 0;\n/**\n * The segment index assigned to a circle's circumference when\n * breaking up a circle into ModifySegmentDataType segments.\n * @type {number}\n */\nvar CIRCLE_CIRCUMFERENCE_INDEX = 1;\nvar tempExtent = [0, 0, 0, 0];\nvar tempSegment = [];\n/**\n * @enum {string}\n */\nvar ModifyEventType = {\n    /**\n     * Triggered upon feature modification start\n     * @event ModifyEvent#modifystart\n     * @api\n     */\n    MODIFYSTART: 'modifystart',\n    /**\n     * Triggered upon feature modification end\n     * @event ModifyEvent#modifyend\n     * @api\n     */\n    MODIFYEND: 'modifyend',\n};\n/**\n * @typedef {Object} SegmentData\n * @property {Array<number>} [depth] Depth.\n * @property {import(\"../Feature\").FeatureLike} feature Feature.\n * @property {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n * @property {number} [index] Index.\n * @property {Array<Array<number>>} segment Segment.\n * @property {Array<SegmentData>} [featureSegments] FeatureSegments.\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event will be considered to add or move a\n * vertex to the sketch. Default is\n * {@link module:ol/events/condition.primaryAction}.\n * @property {import(\"../events/condition.js\").Condition} [deleteCondition] A function\n * that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. By default,\n * {@link module:ol/events/condition.singleClick} with\n * {@link module:ol/events/condition.altKeyOnly} results in a vertex deletion.\n * @property {import(\"../events/condition.js\").Condition} [insertVertexCondition] A\n * function that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and\n * returns a boolean to indicate whether a new vertex should be added to the sketch\n * features. Default is {@link module:ol/events/condition.always}.\n * @property {number} [pixelTolerance=10] Pixel tolerance for considering the\n * pointer close enough to a segment or vertex for editing.\n * @property {import(\"../style/Style.js\").StyleLike} [style]\n * Style used for the modification point or vertex. For linestrings and polygons, this will\n * be the affected vertex, for circles a point along the circle, and for points the actual\n * point. If not configured, the default edit style is used (see {@link module:ol/style/Style~Style}).\n * When using a style function, the point feature passed to the function will have a `features`\n * property - an array whose entries are the features that are being modified, and a `geometries`\n * property - an array whose entries are the geometries that are being modified. Both arrays are\n * in the same order. The `geometries` are only useful when modifying geometry collections, where\n * the geometry will be the particular geometry from the collection that is being modified.\n * @property {VectorSource} [source] The vector source with\n * features to modify.  If a vector source is not provided, a feature collection\n * must be provided with the `features` option.\n * @property {boolean|import(\"../layer/BaseVector\").default} [hitDetection] When configured, point\n * features will be considered for modification based on their visual appearance, instead of being within\n * the `pixelTolerance` from the pointer location. When a {@link module:ol/layer/BaseVector} is\n * provided, only the rendered representation of the features on that layer will be considered.\n * @property {Collection<Feature>} [features]\n * The features the interaction works on.  If a feature collection is not\n * provided, a vector source must be provided with the `source` option.\n * @property {boolean} [wrapX=false] Wrap the world horizontally on the sketch\n * overlay.\n * @property {boolean} [snapToPointer=!hitDetection] The vertex, point or segment being modified snaps to the\n * pointer coordinate when clicked within the `pixelTolerance`.\n */\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/Modify~Modify} instances are\n * instances of this type.\n */\nvar ModifyEvent = /** @class */ (function (_super) {\n    __extends(ModifyEvent, _super);\n    /**\n     * @param {ModifyEventType} type Type.\n     * @param {Collection<import(\"../Feature\").FeatureLike>} features\n     * The features modified.\n     * @param {import(\"../MapBrowserEvent.js\").default} MapBrowserEvent\n     * Associated {@link module:ol/MapBrowserEvent}.\n     */\n    function ModifyEvent(type, features, MapBrowserEvent) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The features being modified.\n         * @type {Collection<import(\"../Feature\").FeatureLike>}\n         * @api\n         */\n        _this.features = features;\n        /**\n         * Associated {@link module:ol/MapBrowserEvent}.\n         * @type {import(\"../MapBrowserEvent.js\").default}\n         * @api\n         */\n        _this.mapBrowserEvent = MapBrowserEvent;\n        return _this;\n    }\n    return ModifyEvent;\n}(Event));\nexport { ModifyEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'modifyend'|'modifystart', ModifyEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'modifyend'|'modifystart', Return>} ModifyOnSignature\n */\n/**\n * @classdesc\n * Interaction for modifying feature geometries.  To modify features that have\n * been added to an existing source, construct the modify interaction with the\n * `source` option.  If you want to modify features in a collection (for example,\n * the collection used by a select interaction), construct the interaction with\n * the `features` option.  The interaction must be constructed with either a\n * `source` or `features` option.\n *\n * Cartesian distance from the pointer is used to determine the features that\n * will be modified. This means that geometries will only be considered for\n * modification when they are within the configured `pixelTolerane`. For point\n * geometries, the `hitDetection` option can be used to match their visual\n * appearance.\n *\n * By default, the interaction will allow deletion of vertices when the `alt`\n * key is pressed.  To configure the interaction with a different condition\n * for deletion, use the `deleteCondition` option.\n * @fires ModifyEvent\n * @api\n */\nvar Modify = /** @class */ (function (_super) {\n    __extends(Modify, _super);\n    /**\n     * @param {Options} options Options.\n     */\n    function Modify(options) {\n        var _this = _super.call(this, /** @type {import(\"./Pointer.js\").Options} */ (options)) || this;\n        /***\n         * @type {ModifyOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ModifyOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ModifyOnSignature<void>}\n         */\n        _this.un;\n        /** @private */\n        _this.boundHandleFeatureChange_ = _this.handleFeatureChange_.bind(_this);\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : primaryAction;\n        /**\n         * @private\n         * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Browser event.\n         * @return {boolean} Combined condition result.\n         */\n        _this.defaultDeleteCondition_ = function (mapBrowserEvent) {\n            return altKeyOnly(mapBrowserEvent) && singleClick(mapBrowserEvent);\n        };\n        /**\n         * @type {import(\"../events/condition.js\").Condition}\n         * @private\n         */\n        _this.deleteCondition_ = options.deleteCondition\n            ? options.deleteCondition\n            : _this.defaultDeleteCondition_;\n        /**\n         * @type {import(\"../events/condition.js\").Condition}\n         * @private\n         */\n        _this.insertVertexCondition_ = options.insertVertexCondition\n            ? options.insertVertexCondition\n            : always;\n        /**\n         * Editing vertex.\n         * @type {Feature}\n         * @private\n         */\n        _this.vertexFeature_ = null;\n        /**\n         * Segments intersecting {@link this.vertexFeature_} by segment uid.\n         * @type {Object<string, boolean>}\n         * @private\n         */\n        _this.vertexSegments_ = null;\n        /**\n         * @type {import(\"../pixel.js\").Pixel}\n         * @private\n         */\n        _this.lastPixel_ = [0, 0];\n        /**\n         * Tracks if the next `singleclick` event should be ignored to prevent\n         * accidental deletion right after vertex creation.\n         * @type {boolean}\n         * @private\n         */\n        _this.ignoreNextSingleClick_ = false;\n        /**\n         * @type {Collection<import(\"../Feature\").FeatureLike>}\n         * @private\n         */\n        _this.featuresBeingModified_ = null;\n        /**\n         * Segment RTree for each layer\n         * @type {RBush<SegmentData>}\n         * @private\n         */\n        _this.rBush_ = new RBush();\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.pixelTolerance_ =\n            options.pixelTolerance !== undefined ? options.pixelTolerance : 10;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.snappedToVertex_ = false;\n        /**\n         * Indicate whether the interaction is currently changing a feature's\n         * coordinates.\n         * @type {boolean}\n         * @private\n         */\n        _this.changingFeature_ = false;\n        /**\n         * @type {Array}\n         * @private\n         */\n        _this.dragSegments_ = [];\n        /**\n         * Draw overlay where sketch features are drawn.\n         * @type {VectorLayer}\n         * @private\n         */\n        _this.overlay_ = new VectorLayer({\n            source: new VectorSource({\n                useSpatialIndex: false,\n                wrapX: !!options.wrapX,\n            }),\n            style: options.style ? options.style : getDefaultStyleFunction(),\n            updateWhileAnimating: true,\n            updateWhileInteracting: true,\n        });\n        /**\n         * @const\n         * @private\n         * @type {!Object<string, function(Feature, import(\"../geom/Geometry.js\").default): void>}\n         */\n        _this.SEGMENT_WRITERS_ = {\n            'Point': _this.writePointGeometry_.bind(_this),\n            'LineString': _this.writeLineStringGeometry_.bind(_this),\n            'LinearRing': _this.writeLineStringGeometry_.bind(_this),\n            'Polygon': _this.writePolygonGeometry_.bind(_this),\n            'MultiPoint': _this.writeMultiPointGeometry_.bind(_this),\n            'MultiLineString': _this.writeMultiLineStringGeometry_.bind(_this),\n            'MultiPolygon': _this.writeMultiPolygonGeometry_.bind(_this),\n            'Circle': _this.writeCircleGeometry_.bind(_this),\n            'GeometryCollection': _this.writeGeometryCollectionGeometry_.bind(_this),\n        };\n        /**\n         * @type {VectorSource}\n         * @private\n         */\n        _this.source_ = null;\n        /**\n         * @type {boolean|import(\"../layer/BaseVector\").default}\n         */\n        _this.hitDetection_ = null;\n        var features;\n        if (options.features) {\n            features = options.features;\n        }\n        else if (options.source) {\n            _this.source_ = options.source;\n            features = new Collection(_this.source_.getFeatures());\n            _this.source_.addEventListener(VectorEventType.ADDFEATURE, _this.handleSourceAdd_.bind(_this));\n            _this.source_.addEventListener(VectorEventType.REMOVEFEATURE, _this.handleSourceRemove_.bind(_this));\n        }\n        if (!features) {\n            throw new Error('The modify interaction requires features, a source or a layer');\n        }\n        if (options.hitDetection) {\n            _this.hitDetection_ = options.hitDetection;\n        }\n        /**\n         * @type {Collection<import(\"../Feature.js\").FeatureLike>}\n         * @private\n         */\n        _this.features_ = features;\n        _this.features_.forEach(_this.addFeature_.bind(_this));\n        _this.features_.addEventListener(CollectionEventType.ADD, _this.handleFeatureAdd_.bind(_this));\n        _this.features_.addEventListener(CollectionEventType.REMOVE, _this.handleFeatureRemove_.bind(_this));\n        /**\n         * @type {import(\"../MapBrowserEvent.js\").default}\n         * @private\n         */\n        _this.lastPointerEvent_ = null;\n        /**\n         * Delta (x, y in map units) between matched rtree vertex and pointer vertex.\n         * @type {Array<number>}\n         */\n        _this.delta_ = [0, 0];\n        /**\n         * @private\n         */\n        _this.snapToPointer_ =\n            options.snapToPointer === undefined\n                ? !_this.hitDetection_\n                : options.snapToPointer;\n        return _this;\n    }\n    /**\n     * @param {Feature} feature Feature.\n     * @private\n     */\n    Modify.prototype.addFeature_ = function (feature) {\n        var geometry = feature.getGeometry();\n        if (geometry) {\n            var writer = this.SEGMENT_WRITERS_[geometry.getType()];\n            if (writer) {\n                writer(feature, geometry);\n            }\n        }\n        var map = this.getMap();\n        if (map && map.isRendered() && this.getActive()) {\n            this.handlePointerAtPixel_(this.lastPixel_, map);\n        }\n        feature.addEventListener(EventType.CHANGE, this.boundHandleFeatureChange_);\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Map browser event.\n     * @param {Array<Array<SegmentData>>} segments The segments subject to modification.\n     * @private\n     */\n    Modify.prototype.willModifyFeatures_ = function (evt, segments) {\n        if (!this.featuresBeingModified_) {\n            this.featuresBeingModified_ = new Collection();\n            var features = this.featuresBeingModified_.getArray();\n            for (var i = 0, ii = segments.length; i < ii; ++i) {\n                var segment = segments[i];\n                for (var s = 0, ss = segment.length; s < ss; ++s) {\n                    var feature = segment[s].feature;\n                    if (feature && features.indexOf(feature) === -1) {\n                        this.featuresBeingModified_.push(feature);\n                    }\n                }\n            }\n            if (this.featuresBeingModified_.getLength() === 0) {\n                this.featuresBeingModified_ = null;\n            }\n            else {\n                this.dispatchEvent(new ModifyEvent(ModifyEventType.MODIFYSTART, this.featuresBeingModified_, evt));\n            }\n        }\n    };\n    /**\n     * @param {Feature} feature Feature.\n     * @private\n     */\n    Modify.prototype.removeFeature_ = function (feature) {\n        this.removeFeatureSegmentData_(feature);\n        // Remove the vertex feature if the collection of canditate features is empty.\n        if (this.vertexFeature_ && this.features_.getLength() === 0) {\n            this.overlay_.getSource().removeFeature(this.vertexFeature_);\n            this.vertexFeature_ = null;\n        }\n        feature.removeEventListener(EventType.CHANGE, this.boundHandleFeatureChange_);\n    };\n    /**\n     * @param {Feature} feature Feature.\n     * @private\n     */\n    Modify.prototype.removeFeatureSegmentData_ = function (feature) {\n        var rBush = this.rBush_;\n        /** @type {Array<SegmentData>} */\n        var nodesToRemove = [];\n        rBush.forEach(\n        /**\n         * @param {SegmentData} node RTree node.\n         */\n        function (node) {\n            if (feature === node.feature) {\n                nodesToRemove.push(node);\n            }\n        });\n        for (var i = nodesToRemove.length - 1; i >= 0; --i) {\n            var nodeToRemove = nodesToRemove[i];\n            for (var j = this.dragSegments_.length - 1; j >= 0; --j) {\n                if (this.dragSegments_[j][0] === nodeToRemove) {\n                    this.dragSegments_.splice(j, 1);\n                }\n            }\n            rBush.remove(nodeToRemove);\n        }\n    };\n    /**\n     * Activate or deactivate the interaction.\n     * @param {boolean} active Active.\n     * @observable\n     * @api\n     */\n    Modify.prototype.setActive = function (active) {\n        if (this.vertexFeature_ && !active) {\n            this.overlay_.getSource().removeFeature(this.vertexFeature_);\n            this.vertexFeature_ = null;\n        }\n        _super.prototype.setActive.call(this, active);\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Modify.prototype.setMap = function (map) {\n        this.overlay_.setMap(map);\n        _super.prototype.setMap.call(this, map);\n    };\n    /**\n     * Get the overlay layer that this interaction renders the modification point or vertex to.\n     * @return {VectorLayer} Overlay layer.\n     * @api\n     */\n    Modify.prototype.getOverlay = function () {\n        return this.overlay_;\n    };\n    /**\n     * @param {import(\"../source/Vector.js\").VectorSourceEvent} event Event.\n     * @private\n     */\n    Modify.prototype.handleSourceAdd_ = function (event) {\n        if (event.feature) {\n            this.features_.push(event.feature);\n        }\n    };\n    /**\n     * @param {import(\"../source/Vector.js\").VectorSourceEvent} event Event.\n     * @private\n     */\n    Modify.prototype.handleSourceRemove_ = function (event) {\n        if (event.feature) {\n            this.features_.remove(event.feature);\n        }\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Modify.prototype.handleFeatureAdd_ = function (evt) {\n        this.addFeature_(/** @type {Feature} */ (evt.element));\n    };\n    /**\n     * @param {import(\"../events/Event.js\").default} evt Event.\n     * @private\n     */\n    Modify.prototype.handleFeatureChange_ = function (evt) {\n        if (!this.changingFeature_) {\n            var feature = /** @type {Feature} */ (evt.target);\n            this.removeFeature_(feature);\n            this.addFeature_(feature);\n        }\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Modify.prototype.handleFeatureRemove_ = function (evt) {\n        var feature = /** @type {Feature} */ (evt.element);\n        this.removeFeature_(feature);\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {Point} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writePointGeometry_ = function (feature, geometry) {\n        var coordinates = geometry.getCoordinates();\n        /** @type {SegmentData} */\n        var segmentData = {\n            feature: feature,\n            geometry: geometry,\n            segment: [coordinates, coordinates],\n        };\n        this.rBush_.insert(geometry.getExtent(), segmentData);\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/MultiPoint.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeMultiPointGeometry_ = function (feature, geometry) {\n        var points = geometry.getCoordinates();\n        for (var i = 0, ii = points.length; i < ii; ++i) {\n            var coordinates = points[i];\n            /** @type {SegmentData} */\n            var segmentData = {\n                feature: feature,\n                geometry: geometry,\n                depth: [i],\n                index: i,\n                segment: [coordinates, coordinates],\n            };\n            this.rBush_.insert(geometry.getExtent(), segmentData);\n        }\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/LineString.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeLineStringGeometry_ = function (feature, geometry) {\n        var coordinates = geometry.getCoordinates();\n        for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n            var segment = coordinates.slice(i, i + 2);\n            /** @type {SegmentData} */\n            var segmentData = {\n                feature: feature,\n                geometry: geometry,\n                index: i,\n                segment: segment,\n            };\n            this.rBush_.insert(boundingExtent(segment), segmentData);\n        }\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/MultiLineString.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeMultiLineStringGeometry_ = function (feature, geometry) {\n        var lines = geometry.getCoordinates();\n        for (var j = 0, jj = lines.length; j < jj; ++j) {\n            var coordinates = lines[j];\n            for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                var segment = coordinates.slice(i, i + 2);\n                /** @type {SegmentData} */\n                var segmentData = {\n                    feature: feature,\n                    geometry: geometry,\n                    depth: [j],\n                    index: i,\n                    segment: segment,\n                };\n                this.rBush_.insert(boundingExtent(segment), segmentData);\n            }\n        }\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/Polygon.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writePolygonGeometry_ = function (feature, geometry) {\n        var rings = geometry.getCoordinates();\n        for (var j = 0, jj = rings.length; j < jj; ++j) {\n            var coordinates = rings[j];\n            for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                var segment = coordinates.slice(i, i + 2);\n                /** @type {SegmentData} */\n                var segmentData = {\n                    feature: feature,\n                    geometry: geometry,\n                    depth: [j],\n                    index: i,\n                    segment: segment,\n                };\n                this.rBush_.insert(boundingExtent(segment), segmentData);\n            }\n        }\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/MultiPolygon.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeMultiPolygonGeometry_ = function (feature, geometry) {\n        var polygons = geometry.getCoordinates();\n        for (var k = 0, kk = polygons.length; k < kk; ++k) {\n            var rings = polygons[k];\n            for (var j = 0, jj = rings.length; j < jj; ++j) {\n                var coordinates = rings[j];\n                for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                    var segment = coordinates.slice(i, i + 2);\n                    /** @type {SegmentData} */\n                    var segmentData = {\n                        feature: feature,\n                        geometry: geometry,\n                        depth: [j, k],\n                        index: i,\n                        segment: segment,\n                    };\n                    this.rBush_.insert(boundingExtent(segment), segmentData);\n                }\n            }\n        }\n    };\n    /**\n     * We convert a circle into two segments.  The segment at index\n     * {@link CIRCLE_CENTER_INDEX} is the\n     * circle's center (a point).  The segment at index\n     * {@link CIRCLE_CIRCUMFERENCE_INDEX} is\n     * the circumference, and is not a line segment.\n     *\n     * @param {Feature} feature Feature.\n     * @param {import(\"../geom/Circle.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeCircleGeometry_ = function (feature, geometry) {\n        var coordinates = geometry.getCenter();\n        /** @type {SegmentData} */\n        var centerSegmentData = {\n            feature: feature,\n            geometry: geometry,\n            index: CIRCLE_CENTER_INDEX,\n            segment: [coordinates, coordinates],\n        };\n        /** @type {SegmentData} */\n        var circumferenceSegmentData = {\n            feature: feature,\n            geometry: geometry,\n            index: CIRCLE_CIRCUMFERENCE_INDEX,\n            segment: [coordinates, coordinates],\n        };\n        var featureSegments = [centerSegmentData, circumferenceSegmentData];\n        centerSegmentData.featureSegments = featureSegments;\n        circumferenceSegmentData.featureSegments = featureSegments;\n        this.rBush_.insert(createExtent(coordinates), centerSegmentData);\n        var circleGeometry = /** @type {import(\"../geom/Geometry.js\").default} */ (geometry);\n        var userProjection = getUserProjection();\n        if (userProjection && this.getMap()) {\n            var projection = this.getMap().getView().getProjection();\n            circleGeometry = circleGeometry\n                .clone()\n                .transform(userProjection, projection);\n            circleGeometry = fromCircle(\n            /** @type {import(\"../geom/Circle.js\").default} */ (circleGeometry)).transform(projection, userProjection);\n        }\n        this.rBush_.insert(circleGeometry.getExtent(), circumferenceSegmentData);\n    };\n    /**\n     * @param {Feature} feature Feature\n     * @param {import(\"../geom/GeometryCollection.js\").default} geometry Geometry.\n     * @private\n     */\n    Modify.prototype.writeGeometryCollectionGeometry_ = function (feature, geometry) {\n        var geometries = geometry.getGeometriesArray();\n        for (var i = 0; i < geometries.length; ++i) {\n            var geometry_1 = geometries[i];\n            var writer = this.SEGMENT_WRITERS_[geometry_1.getType()];\n            writer(feature, geometry_1);\n        }\n    };\n    /**\n     * @param {import(\"../coordinate.js\").Coordinate} coordinates Coordinates.\n     * @param {Array<import(\"../Feature\").FeatureLike>} features The features being modified.\n     * @param {Array<import(\"../geom/SimpleGeometry.js\").default>} geometries The geometries being modified.\n     * @return {Feature} Vertex feature.\n     * @private\n     */\n    Modify.prototype.createOrUpdateVertexFeature_ = function (coordinates, features, geometries) {\n        var vertexFeature = this.vertexFeature_;\n        if (!vertexFeature) {\n            vertexFeature = new Feature(new Point(coordinates));\n            this.vertexFeature_ = vertexFeature;\n            this.overlay_.getSource().addFeature(vertexFeature);\n        }\n        else {\n            var geometry = vertexFeature.getGeometry();\n            geometry.setCoordinates(coordinates);\n        }\n        vertexFeature.set('features', features);\n        vertexFeature.set('geometries', geometries);\n        return vertexFeature;\n    };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} and may modify the geometry.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     */\n    Modify.prototype.handleEvent = function (mapBrowserEvent) {\n        if (!mapBrowserEvent.originalEvent) {\n            return true;\n        }\n        this.lastPointerEvent_ = mapBrowserEvent;\n        var handled;\n        if (!mapBrowserEvent.map.getView().getInteracting() &&\n            mapBrowserEvent.type == MapBrowserEventType.POINTERMOVE &&\n            !this.handlingDownUpSequence) {\n            this.handlePointerMove_(mapBrowserEvent);\n        }\n        if (this.vertexFeature_ && this.deleteCondition_(mapBrowserEvent)) {\n            if (mapBrowserEvent.type != MapBrowserEventType.SINGLECLICK ||\n                !this.ignoreNextSingleClick_) {\n                handled = this.removePoint();\n            }\n            else {\n                handled = true;\n            }\n        }\n        if (mapBrowserEvent.type == MapBrowserEventType.SINGLECLICK) {\n            this.ignoreNextSingleClick_ = false;\n        }\n        return _super.prototype.handleEvent.call(this, mapBrowserEvent) && !handled;\n    };\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Event.\n     */\n    Modify.prototype.handleDragEvent = function (evt) {\n        this.ignoreNextSingleClick_ = false;\n        this.willModifyFeatures_(evt, this.dragSegments_);\n        var vertex = [\n            evt.coordinate[0] + this.delta_[0],\n            evt.coordinate[1] + this.delta_[1],\n        ];\n        var features = [];\n        var geometries = [];\n        for (var i = 0, ii = this.dragSegments_.length; i < ii; ++i) {\n            var dragSegment = this.dragSegments_[i];\n            var segmentData = dragSegment[0];\n            var feature = segmentData.feature;\n            if (features.indexOf(feature) === -1) {\n                features.push(feature);\n            }\n            var geometry = segmentData.geometry;\n            if (geometries.indexOf(geometry) === -1) {\n                geometries.push(geometry);\n            }\n            var depth = segmentData.depth;\n            var coordinates = void 0;\n            var segment = segmentData.segment;\n            var index = dragSegment[1];\n            while (vertex.length < geometry.getStride()) {\n                vertex.push(segment[index][vertex.length]);\n            }\n            switch (geometry.getType()) {\n                case GeometryType.POINT:\n                    coordinates = vertex;\n                    segment[0] = vertex;\n                    segment[1] = vertex;\n                    break;\n                case GeometryType.MULTI_POINT:\n                    coordinates = geometry.getCoordinates();\n                    coordinates[segmentData.index] = vertex;\n                    segment[0] = vertex;\n                    segment[1] = vertex;\n                    break;\n                case GeometryType.LINE_STRING:\n                    coordinates = geometry.getCoordinates();\n                    coordinates[segmentData.index + index] = vertex;\n                    segment[index] = vertex;\n                    break;\n                case GeometryType.MULTI_LINE_STRING:\n                    coordinates = geometry.getCoordinates();\n                    coordinates[depth[0]][segmentData.index + index] = vertex;\n                    segment[index] = vertex;\n                    break;\n                case GeometryType.POLYGON:\n                    coordinates = geometry.getCoordinates();\n                    coordinates[depth[0]][segmentData.index + index] = vertex;\n                    segment[index] = vertex;\n                    break;\n                case GeometryType.MULTI_POLYGON:\n                    coordinates = geometry.getCoordinates();\n                    coordinates[depth[1]][depth[0]][segmentData.index + index] = vertex;\n                    segment[index] = vertex;\n                    break;\n                case GeometryType.CIRCLE:\n                    segment[0] = vertex;\n                    segment[1] = vertex;\n                    if (segmentData.index === CIRCLE_CENTER_INDEX) {\n                        this.changingFeature_ = true;\n                        geometry.setCenter(vertex);\n                        this.changingFeature_ = false;\n                    }\n                    else {\n                        // We're dragging the circle's circumference:\n                        this.changingFeature_ = true;\n                        var projection = evt.map.getView().getProjection();\n                        var radius = coordinateDistance(fromUserCoordinate(geometry.getCenter(), projection), fromUserCoordinate(vertex, projection));\n                        var userProjection = getUserProjection();\n                        if (userProjection) {\n                            var circleGeometry = geometry\n                                .clone()\n                                .transform(userProjection, projection);\n                            circleGeometry.setRadius(radius);\n                            radius = circleGeometry\n                                .transform(projection, userProjection)\n                                .getRadius();\n                        }\n                        geometry.setRadius(radius);\n                        this.changingFeature_ = false;\n                    }\n                    break;\n                default:\n                // pass\n            }\n            if (coordinates) {\n                this.setGeometryCoordinates_(geometry, coordinates);\n            }\n        }\n        this.createOrUpdateVertexFeature_(vertex, features, geometries);\n    };\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Modify.prototype.handleDownEvent = function (evt) {\n        if (!this.condition_(evt)) {\n            return false;\n        }\n        var pixelCoordinate = evt.coordinate;\n        this.handlePointerAtPixel_(evt.pixel, evt.map, pixelCoordinate);\n        this.dragSegments_.length = 0;\n        this.featuresBeingModified_ = null;\n        var vertexFeature = this.vertexFeature_;\n        if (vertexFeature) {\n            var projection = evt.map.getView().getProjection();\n            var insertVertices = [];\n            var vertex = vertexFeature.getGeometry().getCoordinates();\n            var vertexExtent = boundingExtent([vertex]);\n            var segmentDataMatches = this.rBush_.getInExtent(vertexExtent);\n            var componentSegments = {};\n            segmentDataMatches.sort(compareIndexes);\n            for (var i = 0, ii = segmentDataMatches.length; i < ii; ++i) {\n                var segmentDataMatch = segmentDataMatches[i];\n                var segment = segmentDataMatch.segment;\n                var uid = getUid(segmentDataMatch.geometry);\n                var depth = segmentDataMatch.depth;\n                if (depth) {\n                    uid += '-' + depth.join('-'); // separate feature components\n                }\n                if (!componentSegments[uid]) {\n                    componentSegments[uid] = new Array(2);\n                }\n                if (segmentDataMatch.geometry.getType() === GeometryType.CIRCLE &&\n                    segmentDataMatch.index === CIRCLE_CIRCUMFERENCE_INDEX) {\n                    var closestVertex = closestOnSegmentData(pixelCoordinate, segmentDataMatch, projection);\n                    if (coordinatesEqual(closestVertex, vertex) &&\n                        !componentSegments[uid][0]) {\n                        this.dragSegments_.push([segmentDataMatch, 0]);\n                        componentSegments[uid][0] = segmentDataMatch;\n                    }\n                    continue;\n                }\n                if (coordinatesEqual(segment[0], vertex) &&\n                    !componentSegments[uid][0]) {\n                    this.dragSegments_.push([segmentDataMatch, 0]);\n                    componentSegments[uid][0] = segmentDataMatch;\n                    continue;\n                }\n                if (coordinatesEqual(segment[1], vertex) &&\n                    !componentSegments[uid][1]) {\n                    // prevent dragging closed linestrings by the connecting node\n                    if ((segmentDataMatch.geometry.getType() === GeometryType.LINE_STRING ||\n                        segmentDataMatch.geometry.getType() ===\n                            GeometryType.MULTI_LINE_STRING) &&\n                        componentSegments[uid][0] &&\n                        componentSegments[uid][0].index === 0) {\n                        continue;\n                    }\n                    this.dragSegments_.push([segmentDataMatch, 1]);\n                    componentSegments[uid][1] = segmentDataMatch;\n                    continue;\n                }\n                if (getUid(segment) in this.vertexSegments_ &&\n                    !componentSegments[uid][0] &&\n                    !componentSegments[uid][1] &&\n                    this.insertVertexCondition_(evt)) {\n                    insertVertices.push(segmentDataMatch);\n                }\n            }\n            if (insertVertices.length) {\n                this.willModifyFeatures_(evt, [insertVertices]);\n            }\n            for (var j = insertVertices.length - 1; j >= 0; --j) {\n                this.insertVertex_(insertVertices[j], vertex);\n            }\n        }\n        return !!this.vertexFeature_;\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Modify.prototype.handleUpEvent = function (evt) {\n        for (var i = this.dragSegments_.length - 1; i >= 0; --i) {\n            var segmentData = this.dragSegments_[i][0];\n            var geometry = segmentData.geometry;\n            if (geometry.getType() === GeometryType.CIRCLE) {\n                // Update a circle object in the R* bush:\n                var coordinates = geometry.getCenter();\n                var centerSegmentData = segmentData.featureSegments[0];\n                var circumferenceSegmentData = segmentData.featureSegments[1];\n                centerSegmentData.segment[0] = coordinates;\n                centerSegmentData.segment[1] = coordinates;\n                circumferenceSegmentData.segment[0] = coordinates;\n                circumferenceSegmentData.segment[1] = coordinates;\n                this.rBush_.update(createExtent(coordinates), centerSegmentData);\n                var circleGeometry = geometry;\n                var userProjection = getUserProjection();\n                if (userProjection) {\n                    var projection = evt.map.getView().getProjection();\n                    circleGeometry = circleGeometry\n                        .clone()\n                        .transform(userProjection, projection);\n                    circleGeometry = fromCircle(circleGeometry).transform(projection, userProjection);\n                }\n                this.rBush_.update(circleGeometry.getExtent(), circumferenceSegmentData);\n            }\n            else {\n                this.rBush_.update(boundingExtent(segmentData.segment), segmentData);\n            }\n        }\n        if (this.featuresBeingModified_) {\n            this.dispatchEvent(new ModifyEvent(ModifyEventType.MODIFYEND, this.featuresBeingModified_, evt));\n            this.featuresBeingModified_ = null;\n        }\n        return false;\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Event.\n     * @private\n     */\n    Modify.prototype.handlePointerMove_ = function (evt) {\n        this.lastPixel_ = evt.pixel;\n        this.handlePointerAtPixel_(evt.pixel, evt.map, evt.coordinate);\n    };\n    /**\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_coordinate] The pixel Coordinate.\n     * @private\n     */\n    Modify.prototype.handlePointerAtPixel_ = function (pixel, map, opt_coordinate) {\n        var _this = this;\n        var pixelCoordinate = opt_coordinate || map.getCoordinateFromPixel(pixel);\n        var projection = map.getView().getProjection();\n        var sortByDistance = function (a, b) {\n            return (projectedDistanceToSegmentDataSquared(pixelCoordinate, a, projection) -\n                projectedDistanceToSegmentDataSquared(pixelCoordinate, b, projection));\n        };\n        /** @type {Array<SegmentData>|undefined} */\n        var nodes;\n        var hitPointGeometry;\n        if (this.hitDetection_) {\n            var layerFilter = typeof this.hitDetection_ === 'object'\n                ? function (layer) { return layer === _this.hitDetection_; }\n                : undefined;\n            map.forEachFeatureAtPixel(pixel, function (feature, layer, geometry) {\n                geometry =\n                    geometry ||\n                        /** @type {import(\"../geom/SimpleGeometry\").default} */ (feature.getGeometry());\n                if (geometry.getType() === GeometryType.POINT &&\n                    includes(_this.features_.getArray(), feature)) {\n                    hitPointGeometry = geometry;\n                    var coordinate = geometry.getFlatCoordinates().slice(0, 2);\n                    nodes = [\n                        {\n                            feature: feature,\n                            geometry: geometry,\n                            segment: [coordinate, coordinate],\n                        },\n                    ];\n                }\n                return true;\n            }, { layerFilter: layerFilter });\n        }\n        if (!nodes) {\n            var viewExtent = fromUserExtent(createExtent(pixelCoordinate, tempExtent), projection);\n            var buffer = map.getView().getResolution() * this.pixelTolerance_;\n            var box = toUserExtent(bufferExtent(viewExtent, buffer, tempExtent), projection);\n            nodes = this.rBush_.getInExtent(box);\n        }\n        if (nodes && nodes.length > 0) {\n            var node = nodes.sort(sortByDistance)[0];\n            var closestSegment = node.segment;\n            var vertex = closestOnSegmentData(pixelCoordinate, node, projection);\n            var vertexPixel = map.getPixelFromCoordinate(vertex);\n            var dist = coordinateDistance(pixel, vertexPixel);\n            if (hitPointGeometry || dist <= this.pixelTolerance_) {\n                /** @type {Object<string, boolean>} */\n                var vertexSegments = {};\n                vertexSegments[getUid(closestSegment)] = true;\n                if (!this.snapToPointer_) {\n                    this.delta_[0] = vertex[0] - pixelCoordinate[0];\n                    this.delta_[1] = vertex[1] - pixelCoordinate[1];\n                }\n                if (node.geometry.getType() === GeometryType.CIRCLE &&\n                    node.index === CIRCLE_CIRCUMFERENCE_INDEX) {\n                    this.snappedToVertex_ = true;\n                    this.createOrUpdateVertexFeature_(vertex, [node.feature], [node.geometry]);\n                }\n                else {\n                    var pixel1 = map.getPixelFromCoordinate(closestSegment[0]);\n                    var pixel2 = map.getPixelFromCoordinate(closestSegment[1]);\n                    var squaredDist1 = squaredCoordinateDistance(vertexPixel, pixel1);\n                    var squaredDist2 = squaredCoordinateDistance(vertexPixel, pixel2);\n                    dist = Math.sqrt(Math.min(squaredDist1, squaredDist2));\n                    this.snappedToVertex_ = dist <= this.pixelTolerance_;\n                    if (this.snappedToVertex_) {\n                        vertex =\n                            squaredDist1 > squaredDist2\n                                ? closestSegment[1]\n                                : closestSegment[0];\n                    }\n                    this.createOrUpdateVertexFeature_(vertex, [node.feature], [node.geometry]);\n                    var geometries = {};\n                    geometries[getUid(node.geometry)] = true;\n                    for (var i = 1, ii = nodes.length; i < ii; ++i) {\n                        var segment = nodes[i].segment;\n                        if ((coordinatesEqual(closestSegment[0], segment[0]) &&\n                            coordinatesEqual(closestSegment[1], segment[1])) ||\n                            (coordinatesEqual(closestSegment[0], segment[1]) &&\n                                coordinatesEqual(closestSegment[1], segment[0]))) {\n                            var geometryUid = getUid(nodes[i].geometry);\n                            if (!(geometryUid in geometries)) {\n                                geometries[geometryUid] = true;\n                                vertexSegments[getUid(segment)] = true;\n                            }\n                        }\n                        else {\n                            break;\n                        }\n                    }\n                }\n                this.vertexSegments_ = vertexSegments;\n                return;\n            }\n        }\n        if (this.vertexFeature_) {\n            this.overlay_.getSource().removeFeature(this.vertexFeature_);\n            this.vertexFeature_ = null;\n        }\n    };\n    /**\n     * @param {SegmentData} segmentData Segment data.\n     * @param {import(\"../coordinate.js\").Coordinate} vertex Vertex.\n     * @private\n     */\n    Modify.prototype.insertVertex_ = function (segmentData, vertex) {\n        var segment = segmentData.segment;\n        var feature = segmentData.feature;\n        var geometry = segmentData.geometry;\n        var depth = segmentData.depth;\n        var index = segmentData.index;\n        var coordinates;\n        while (vertex.length < geometry.getStride()) {\n            vertex.push(0);\n        }\n        switch (geometry.getType()) {\n            case GeometryType.MULTI_LINE_STRING:\n                coordinates = geometry.getCoordinates();\n                coordinates[depth[0]].splice(index + 1, 0, vertex);\n                break;\n            case GeometryType.POLYGON:\n                coordinates = geometry.getCoordinates();\n                coordinates[depth[0]].splice(index + 1, 0, vertex);\n                break;\n            case GeometryType.MULTI_POLYGON:\n                coordinates = geometry.getCoordinates();\n                coordinates[depth[1]][depth[0]].splice(index + 1, 0, vertex);\n                break;\n            case GeometryType.LINE_STRING:\n                coordinates = geometry.getCoordinates();\n                coordinates.splice(index + 1, 0, vertex);\n                break;\n            default:\n                return;\n        }\n        this.setGeometryCoordinates_(geometry, coordinates);\n        var rTree = this.rBush_;\n        rTree.remove(segmentData);\n        this.updateSegmentIndices_(geometry, index, depth, 1);\n        /** @type {SegmentData} */\n        var newSegmentData = {\n            segment: [segment[0], vertex],\n            feature: feature,\n            geometry: geometry,\n            depth: depth,\n            index: index,\n        };\n        rTree.insert(boundingExtent(newSegmentData.segment), newSegmentData);\n        this.dragSegments_.push([newSegmentData, 1]);\n        /** @type {SegmentData} */\n        var newSegmentData2 = {\n            segment: [vertex, segment[1]],\n            feature: feature,\n            geometry: geometry,\n            depth: depth,\n            index: index + 1,\n        };\n        rTree.insert(boundingExtent(newSegmentData2.segment), newSegmentData2);\n        this.dragSegments_.push([newSegmentData2, 0]);\n        this.ignoreNextSingleClick_ = true;\n    };\n    /**\n     * Removes the vertex currently being pointed.\n     * @return {boolean} True when a vertex was removed.\n     * @api\n     */\n    Modify.prototype.removePoint = function () {\n        if (this.lastPointerEvent_ &&\n            this.lastPointerEvent_.type != MapBrowserEventType.POINTERDRAG) {\n            var evt = this.lastPointerEvent_;\n            this.willModifyFeatures_(evt, this.dragSegments_);\n            var removed = this.removeVertex_();\n            this.dispatchEvent(new ModifyEvent(ModifyEventType.MODIFYEND, this.featuresBeingModified_, evt));\n            this.featuresBeingModified_ = null;\n            return removed;\n        }\n        return false;\n    };\n    /**\n     * Removes a vertex from all matching features.\n     * @return {boolean} True when a vertex was removed.\n     * @private\n     */\n    Modify.prototype.removeVertex_ = function () {\n        var dragSegments = this.dragSegments_;\n        var segmentsByFeature = {};\n        var deleted = false;\n        var component, coordinates, dragSegment, geometry, i, index, left;\n        var newIndex, right, segmentData, uid;\n        for (i = dragSegments.length - 1; i >= 0; --i) {\n            dragSegment = dragSegments[i];\n            segmentData = dragSegment[0];\n            uid = getUid(segmentData.feature);\n            if (segmentData.depth) {\n                // separate feature components\n                uid += '-' + segmentData.depth.join('-');\n            }\n            if (!(uid in segmentsByFeature)) {\n                segmentsByFeature[uid] = {};\n            }\n            if (dragSegment[1] === 0) {\n                segmentsByFeature[uid].right = segmentData;\n                segmentsByFeature[uid].index = segmentData.index;\n            }\n            else if (dragSegment[1] == 1) {\n                segmentsByFeature[uid].left = segmentData;\n                segmentsByFeature[uid].index = segmentData.index + 1;\n            }\n        }\n        for (uid in segmentsByFeature) {\n            right = segmentsByFeature[uid].right;\n            left = segmentsByFeature[uid].left;\n            index = segmentsByFeature[uid].index;\n            newIndex = index - 1;\n            if (left !== undefined) {\n                segmentData = left;\n            }\n            else {\n                segmentData = right;\n            }\n            if (newIndex < 0) {\n                newIndex = 0;\n            }\n            geometry = segmentData.geometry;\n            coordinates = geometry.getCoordinates();\n            component = coordinates;\n            deleted = false;\n            switch (geometry.getType()) {\n                case GeometryType.MULTI_LINE_STRING:\n                    if (coordinates[segmentData.depth[0]].length > 2) {\n                        coordinates[segmentData.depth[0]].splice(index, 1);\n                        deleted = true;\n                    }\n                    break;\n                case GeometryType.LINE_STRING:\n                    if (coordinates.length > 2) {\n                        coordinates.splice(index, 1);\n                        deleted = true;\n                    }\n                    break;\n                case GeometryType.MULTI_POLYGON:\n                    component = component[segmentData.depth[1]];\n                /* falls through */\n                case GeometryType.POLYGON:\n                    component = component[segmentData.depth[0]];\n                    if (component.length > 4) {\n                        if (index == component.length - 1) {\n                            index = 0;\n                        }\n                        component.splice(index, 1);\n                        deleted = true;\n                        if (index === 0) {\n                            // close the ring again\n                            component.pop();\n                            component.push(component[0]);\n                            newIndex = component.length - 1;\n                        }\n                    }\n                    break;\n                default:\n                // pass\n            }\n            if (deleted) {\n                this.setGeometryCoordinates_(geometry, coordinates);\n                var segments = [];\n                if (left !== undefined) {\n                    this.rBush_.remove(left);\n                    segments.push(left.segment[0]);\n                }\n                if (right !== undefined) {\n                    this.rBush_.remove(right);\n                    segments.push(right.segment[1]);\n                }\n                if (left !== undefined && right !== undefined) {\n                    /** @type {SegmentData} */\n                    var newSegmentData = {\n                        depth: segmentData.depth,\n                        feature: segmentData.feature,\n                        geometry: segmentData.geometry,\n                        index: newIndex,\n                        segment: segments,\n                    };\n                    this.rBush_.insert(boundingExtent(newSegmentData.segment), newSegmentData);\n                }\n                this.updateSegmentIndices_(geometry, index, segmentData.depth, -1);\n                if (this.vertexFeature_) {\n                    this.overlay_.getSource().removeFeature(this.vertexFeature_);\n                    this.vertexFeature_ = null;\n                }\n                dragSegments.length = 0;\n            }\n        }\n        return deleted;\n    };\n    /**\n     * @param {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n     * @param {Array} coordinates Coordinates.\n     * @private\n     */\n    Modify.prototype.setGeometryCoordinates_ = function (geometry, coordinates) {\n        this.changingFeature_ = true;\n        geometry.setCoordinates(coordinates);\n        this.changingFeature_ = false;\n    };\n    /**\n     * @param {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n     * @param {number} index Index.\n     * @param {Array<number>|undefined} depth Depth.\n     * @param {number} delta Delta (1 or -1).\n     * @private\n     */\n    Modify.prototype.updateSegmentIndices_ = function (geometry, index, depth, delta) {\n        this.rBush_.forEachInExtent(geometry.getExtent(), function (segmentDataMatch) {\n            if (segmentDataMatch.geometry === geometry &&\n                (depth === undefined ||\n                    segmentDataMatch.depth === undefined ||\n                    equals(segmentDataMatch.depth, depth)) &&\n                segmentDataMatch.index > index) {\n                segmentDataMatch.index += delta;\n            }\n        });\n    };\n    return Modify;\n}(PointerInteraction));\n/**\n * @param {SegmentData} a The first segment data.\n * @param {SegmentData} b The second segment data.\n * @return {number} The difference in indexes.\n */\nfunction compareIndexes(a, b) {\n    return a.index - b.index;\n}\n/**\n * Returns the distance from a point to a line segment.\n *\n * @param {import(\"../coordinate.js\").Coordinate} pointCoordinates The coordinates of the point from\n *        which to calculate the distance.\n * @param {SegmentData} segmentData The object describing the line\n *        segment we are calculating the distance to.\n * @param {import(\"../proj/Projection.js\").default} projection The view projection.\n * @return {number} The square of the distance between a point and a line segment.\n */\nfunction projectedDistanceToSegmentDataSquared(pointCoordinates, segmentData, projection) {\n    var geometry = segmentData.geometry;\n    if (geometry.getType() === GeometryType.CIRCLE) {\n        var circleGeometry = /** @type {import(\"../geom/Circle.js\").default} */ (geometry);\n        if (segmentData.index === CIRCLE_CIRCUMFERENCE_INDEX) {\n            var userProjection = getUserProjection();\n            if (userProjection) {\n                circleGeometry = /** @type {import(\"../geom/Circle.js\").default} */ (circleGeometry.clone().transform(userProjection, projection));\n            }\n            var distanceToCenterSquared = squaredCoordinateDistance(circleGeometry.getCenter(), fromUserCoordinate(pointCoordinates, projection));\n            var distanceToCircumference = Math.sqrt(distanceToCenterSquared) - circleGeometry.getRadius();\n            return distanceToCircumference * distanceToCircumference;\n        }\n    }\n    var coordinate = fromUserCoordinate(pointCoordinates, projection);\n    tempSegment[0] = fromUserCoordinate(segmentData.segment[0], projection);\n    tempSegment[1] = fromUserCoordinate(segmentData.segment[1], projection);\n    return squaredDistanceToSegment(coordinate, tempSegment);\n}\n/**\n * Returns the point closest to a given line segment.\n *\n * @param {import(\"../coordinate.js\").Coordinate} pointCoordinates The point to which a closest point\n *        should be found.\n * @param {SegmentData} segmentData The object describing the line\n *        segment which should contain the closest point.\n * @param {import(\"../proj/Projection.js\").default} projection The view projection.\n * @return {import(\"../coordinate.js\").Coordinate} The point closest to the specified line segment.\n */\nfunction closestOnSegmentData(pointCoordinates, segmentData, projection) {\n    var geometry = segmentData.geometry;\n    if (geometry.getType() === GeometryType.CIRCLE &&\n        segmentData.index === CIRCLE_CIRCUMFERENCE_INDEX) {\n        var circleGeometry = /** @type {import(\"../geom/Circle.js\").default} */ (geometry);\n        var userProjection = getUserProjection();\n        if (userProjection) {\n            circleGeometry = /** @type {import(\"../geom/Circle.js\").default} */ (circleGeometry.clone().transform(userProjection, projection));\n        }\n        return toUserCoordinate(circleGeometry.getClosestPoint(fromUserCoordinate(pointCoordinates, projection)), projection);\n    }\n    var coordinate = fromUserCoordinate(pointCoordinates, projection);\n    tempSegment[0] = fromUserCoordinate(segmentData.segment[0], projection);\n    tempSegment[1] = fromUserCoordinate(segmentData.segment[1], projection);\n    return toUserCoordinate(closestOnSegment(coordinate, tempSegment), projection);\n}\n/**\n * @return {import(\"../style/Style.js\").StyleFunction} Styles.\n */\nfunction getDefaultStyleFunction() {\n    var style = createEditingStyle();\n    return function (feature, resolution) {\n        return style[GeometryType.POINT];\n    };\n}\nexport default Modify;\n//# sourceMappingURL=Modify.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Select\n */\nimport Collection from '../Collection.js';\nimport CollectionEventType from '../CollectionEventType.js';\nimport Event from '../events/Event.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport Interaction from './Interaction.js';\nimport VectorLayer from '../layer/Vector.js';\nimport { TRUE } from '../functions.js';\nimport { clear } from '../obj.js';\nimport { createEditingStyle } from '../style/Style.js';\nimport { extend, includes } from '../array.js';\nimport { getUid } from '../util.js';\nimport { never, shiftKeyOnly, singleClick } from '../events/condition.js';\n/**\n * @enum {string}\n */\nvar SelectEventType = {\n    /**\n     * Triggered when feature(s) has been (de)selected.\n     * @event SelectEvent#select\n     * @api\n     */\n    SELECT: 'select',\n};\n/**\n * A function that takes an {@link module:ol/Feature} or\n * {@link module:ol/render/Feature} and an\n * {@link module:ol/layer/Layer} and returns `true` if the feature may be\n * selected or `false` otherwise.\n * @typedef {function(import(\"../Feature.js\").FeatureLike, import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>):boolean} FilterFunction\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [addCondition] A function\n * that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * By default, this is {@link module:ol/events/condition.never}. Use this if you\n * want to use different events for add and remove instead of `toggle`.\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. This is the event\n * for the selected features as a whole. By default, this is\n * {@link module:ol/events/condition.singleClick}. Clicking on a feature selects that\n * feature and removes any that were in the selection. Clicking outside any\n * feature removes all from the selection.\n * See `toggle`, `add`, `remove` options for adding/removing extra features to/\n * from the selection.\n * @property {Array<import(\"../layer/Layer.js\").default>|function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} [layers]\n * A list of layers from which features should be selected. Alternatively, a\n * filter function can be provided. The function will be called for each layer\n * in the map and should return `true` for layers that you want to be\n * selectable. If the option is absent, all visible layers will be considered\n * selectable.\n * @property {import(\"../style/Style.js\").StyleLike|null} [style]\n * Style for the selected features. By default the default edit style is used\n * (see {@link module:ol/style/Style~Style}). Set to `null` if this interaction should not apply\n * any style changes for selected features.\n * If set to a falsey value, the selected feature's style will not change.\n * @property {import(\"../events/condition.js\").Condition} [removeCondition] A function\n * that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * By default, this is {@link module:ol/events/condition.never}. Use this if you\n * want to use different events for add and remove instead of `toggle`.\n * @property {import(\"../events/condition.js\").Condition} [toggleCondition] A function\n * that takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled. This is in addition\n * to the `condition` event. By default,\n * {@link module:ol/events/condition.shiftKeyOnly}, i.e. pressing `shift` as\n * well as the `condition` event, adds that feature to the current selection if\n * it is not currently selected, and removes it if it is. See `add` and `remove`\n * if you want to use different events instead of a toggle.\n * @property {boolean} [multi=false] A boolean that determines if the default\n * behaviour should select only single features or all (overlapping) features at\n * the clicked map position. The default of `false` means single select.\n * @property {import(\"../Collection.js\").default<import(\"../Feature.js\").default>} [features]\n * Collection where the interaction will place selected features. Optional. If\n * not set the interaction will create a collection. In any case the collection\n * used by the interaction is returned by\n * {@link module:ol/interaction/Select~Select#getFeatures}.\n * @property {FilterFunction} [filter] A function\n * that takes an {@link module:ol/Feature} and an\n * {@link module:ol/layer/Layer} and returns `true` if the feature may be\n * selected or `false` otherwise.\n * @property {number} [hitTolerance=0] Hit-detection tolerance. Pixels inside\n * the radius around the given position will be checked for features.\n */\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/Select~Select} instances are instances of\n * this type.\n */\nvar SelectEvent = /** @class */ (function (_super) {\n    __extends(SelectEvent, _super);\n    /**\n     * @param {SelectEventType} type The event type.\n     * @param {Array<import(\"../Feature.js\").default>} selected Selected features.\n     * @param {Array<import(\"../Feature.js\").default>} deselected Deselected features.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Associated\n     *     {@link module:ol/MapBrowserEvent}.\n     */\n    function SelectEvent(type, selected, deselected, mapBrowserEvent) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * Selected features array.\n         * @type {Array<import(\"../Feature.js\").default>}\n         * @api\n         */\n        _this.selected = selected;\n        /**\n         * Deselected features array.\n         * @type {Array<import(\"../Feature.js\").default>}\n         * @api\n         */\n        _this.deselected = deselected;\n        /**\n         * Associated {@link module:ol/MapBrowserEvent}.\n         * @type {import(\"../MapBrowserEvent.js\").default}\n         * @api\n         */\n        _this.mapBrowserEvent = mapBrowserEvent;\n        return _this;\n    }\n    return SelectEvent;\n}(Event));\nexport { SelectEvent };\n/**\n * Original feature styles to reset to when features are no longer selected.\n * @type {Object<number, import(\"../style/Style.js\").default|Array<import(\"../style/Style.js\").default>|import(\"../style/Style.js\").StyleFunction>}\n */\nvar originalFeatureStyles = {};\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'select', SelectEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'select', Return>} SelectOnSignature\n */\n/**\n * @classdesc\n * Interaction for selecting vector features. By default, selected features are\n * styled differently, so this interaction can be used for visual highlighting,\n * as well as selecting features for other actions, such as modification or\n * output. There are three ways of controlling which features are selected:\n * using the browser event as defined by the `condition` and optionally the\n * `toggle`, `add`/`remove`, and `multi` options; a `layers` filter; and a\n * further feature filter using the `filter` option.\n *\n * @fires SelectEvent\n * @api\n */\nvar Select = /** @class */ (function (_super) {\n    __extends(Select, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Select(opt_options) {\n        var _this = _super.call(this) || this;\n        /***\n         * @type {SelectOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {SelectOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {SelectOnSignature<void>}\n         */\n        _this.un;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @private\n         */\n        _this.boundAddFeature_ = _this.addFeature_.bind(_this);\n        /**\n         * @private\n         */\n        _this.boundRemoveFeature_ = _this.removeFeature_.bind(_this);\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : singleClick;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.addCondition_ = options.addCondition ? options.addCondition : never;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.removeCondition_ = options.removeCondition\n            ? options.removeCondition\n            : never;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.toggleCondition_ = options.toggleCondition\n            ? options.toggleCondition\n            : shiftKeyOnly;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.multi_ = options.multi ? options.multi : false;\n        /**\n         * @private\n         * @type {FilterFunction}\n         */\n        _this.filter_ = options.filter ? options.filter : TRUE;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.hitTolerance_ = options.hitTolerance ? options.hitTolerance : 0;\n        /**\n         * @private\n         * @type {import(\"../style/Style.js\").default|Array<import(\"../style/Style.js\").default>|import(\"../style/Style.js\").StyleFunction|null}\n         */\n        _this.style_ =\n            options.style !== undefined ? options.style : getDefaultStyleFunction();\n        /**\n         * @private\n         * @type {import(\"../Collection.js\").default}\n         */\n        _this.features_ = options.features || new Collection();\n        /** @type {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} */\n        var layerFilter;\n        if (options.layers) {\n            if (typeof options.layers === 'function') {\n                layerFilter = options.layers;\n            }\n            else {\n                var layers_1 = options.layers;\n                layerFilter = function (layer) {\n                    return includes(layers_1, layer);\n                };\n            }\n        }\n        else {\n            layerFilter = TRUE;\n        }\n        /**\n         * @private\n         * @type {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean}\n         */\n        _this.layerFilter_ = layerFilter;\n        /**\n         * An association between selected feature (key)\n         * and layer (value)\n         * @private\n         * @type {Object<string, import(\"../layer/Layer.js\").default>}\n         */\n        _this.featureLayerAssociation_ = {};\n        return _this;\n    }\n    /**\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     * @param {import(\"../layer/Layer.js\").default} layer Layer.\n     * @private\n     */\n    Select.prototype.addFeatureLayerAssociation_ = function (feature, layer) {\n        this.featureLayerAssociation_[getUid(feature)] = layer;\n    };\n    /**\n     * Get the selected features.\n     * @return {import(\"../Collection.js\").default<import(\"../Feature.js\").default>} Features collection.\n     * @api\n     */\n    Select.prototype.getFeatures = function () {\n        return this.features_;\n    };\n    /**\n     * Returns the Hit-detection tolerance.\n     * @return {number} Hit tolerance in pixels.\n     * @api\n     */\n    Select.prototype.getHitTolerance = function () {\n        return this.hitTolerance_;\n    };\n    /**\n     * Returns the associated {@link module:ol/layer/Vector~Vector vector layer} of\n     * a selected feature.\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature\n     * @return {import('../layer/Vector.js').default} Layer.\n     * @api\n     */\n    Select.prototype.getLayer = function (feature) {\n        return /** @type {import('../layer/Vector.js').default} */ (this.featureLayerAssociation_[getUid(feature)]);\n    };\n    /**\n     * Hit-detection tolerance. Pixels inside the radius around the given position\n     * will be checked for features.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @api\n     */\n    Select.prototype.setHitTolerance = function (hitTolerance) {\n        this.hitTolerance_ = hitTolerance;\n    };\n    /**\n     * Remove the interaction from its current map, if any,  and attach it to a new\n     * map, if any. Pass `null` to just remove the interaction from the current map.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     * @api\n     */\n    Select.prototype.setMap = function (map) {\n        var currentMap = this.getMap();\n        if (currentMap && this.style_) {\n            this.features_.forEach(this.restorePreviousStyle_.bind(this));\n        }\n        _super.prototype.setMap.call(this, map);\n        if (map) {\n            this.features_.addEventListener(CollectionEventType.ADD, this.boundAddFeature_);\n            this.features_.addEventListener(CollectionEventType.REMOVE, this.boundRemoveFeature_);\n            if (this.style_) {\n                this.features_.forEach(this.applySelectedStyle_.bind(this));\n            }\n        }\n        else {\n            this.features_.removeEventListener(CollectionEventType.ADD, this.boundAddFeature_);\n            this.features_.removeEventListener(CollectionEventType.REMOVE, this.boundRemoveFeature_);\n        }\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Select.prototype.addFeature_ = function (evt) {\n        var feature = evt.element;\n        if (this.style_) {\n            this.applySelectedStyle_(feature);\n        }\n        if (!this.getLayer(feature)) {\n            var layer = /** @type {VectorLayer} */ (this.getMap()\n                .getAllLayers()\n                .find(function (layer) {\n                if (layer instanceof VectorLayer &&\n                    layer.getSource() &&\n                    layer.getSource().hasFeature(feature)) {\n                    return layer;\n                }\n            }));\n            if (layer) {\n                this.addFeatureLayerAssociation_(feature, layer);\n            }\n        }\n    };\n    /**\n     * @param {import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Select.prototype.removeFeature_ = function (evt) {\n        var feature = evt.element;\n        if (this.style_) {\n            this.restorePreviousStyle_(feature);\n        }\n    };\n    /**\n     * @return {import(\"../style/Style.js\").StyleLike|null} Select style.\n     */\n    Select.prototype.getStyle = function () {\n        return this.style_;\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @private\n     */\n    Select.prototype.applySelectedStyle_ = function (feature) {\n        var key = getUid(feature);\n        if (!(key in originalFeatureStyles)) {\n            originalFeatureStyles[key] = feature.getStyle();\n        }\n        feature.setStyle(this.style_);\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @private\n     */\n    Select.prototype.restorePreviousStyle_ = function (feature) {\n        var interactions = this.getMap().getInteractions().getArray();\n        for (var i = interactions.length - 1; i >= 0; --i) {\n            var interaction = interactions[i];\n            if (interaction !== this &&\n                interaction instanceof Select &&\n                interaction.getStyle() &&\n                interaction.getFeatures().getArray().lastIndexOf(feature) !== -1) {\n                feature.setStyle(interaction.getStyle());\n                return;\n            }\n        }\n        var key = getUid(feature);\n        feature.setStyle(originalFeatureStyles[key]);\n        delete originalFeatureStyles[key];\n    };\n    /**\n     * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n     * @private\n     */\n    Select.prototype.removeFeatureLayerAssociation_ = function (feature) {\n        delete this.featureLayerAssociation_[getUid(feature)];\n    };\n    /**\n     * Handles the {@link module:ol/MapBrowserEvent map browser event} and may change the\n     * selected state of features.\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     * @this {Select}\n     */\n    Select.prototype.handleEvent = function (mapBrowserEvent) {\n        if (!this.condition_(mapBrowserEvent)) {\n            return true;\n        }\n        var add = this.addCondition_(mapBrowserEvent);\n        var remove = this.removeCondition_(mapBrowserEvent);\n        var toggle = this.toggleCondition_(mapBrowserEvent);\n        var set = !add && !remove && !toggle;\n        var map = mapBrowserEvent.map;\n        var features = this.getFeatures();\n        var deselected = [];\n        var selected = [];\n        if (set) {\n            // Replace the currently selected feature(s) with the feature(s) at the\n            // pixel, or clear the selected feature(s) if there is no feature at\n            // the pixel.\n            clear(this.featureLayerAssociation_);\n            map.forEachFeatureAtPixel(mapBrowserEvent.pixel, \n            /**\n             * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n             * @param {import(\"../layer/Layer.js\").default} layer Layer.\n             * @return {boolean|undefined} Continue to iterate over the features.\n             */\n            function (feature, layer) {\n                if (this.filter_(feature, layer)) {\n                    this.addFeatureLayerAssociation_(feature, layer);\n                    selected.push(feature);\n                    return !this.multi_;\n                }\n            }.bind(this), {\n                layerFilter: this.layerFilter_,\n                hitTolerance: this.hitTolerance_,\n            });\n            for (var i = features.getLength() - 1; i >= 0; --i) {\n                var feature = features.item(i);\n                var index = selected.indexOf(feature);\n                if (index > -1) {\n                    // feature is already selected\n                    selected.splice(index, 1);\n                }\n                else {\n                    features.remove(feature);\n                    deselected.push(feature);\n                }\n            }\n            if (selected.length !== 0) {\n                features.extend(selected);\n            }\n        }\n        else {\n            // Modify the currently selected feature(s).\n            map.forEachFeatureAtPixel(mapBrowserEvent.pixel, \n            /**\n             * @param {import(\"../Feature.js\").FeatureLike} feature Feature.\n             * @param {import(\"../layer/Layer.js\").default} layer Layer.\n             * @return {boolean|undefined} Continue to iterate over the features.\n             */\n            function (feature, layer) {\n                if (this.filter_(feature, layer)) {\n                    if ((add || toggle) && !includes(features.getArray(), feature)) {\n                        this.addFeatureLayerAssociation_(feature, layer);\n                        selected.push(feature);\n                    }\n                    else if ((remove || toggle) &&\n                        includes(features.getArray(), feature)) {\n                        deselected.push(feature);\n                        this.removeFeatureLayerAssociation_(feature);\n                    }\n                    return !this.multi_;\n                }\n            }.bind(this), {\n                layerFilter: this.layerFilter_,\n                hitTolerance: this.hitTolerance_,\n            });\n            for (var j = deselected.length - 1; j >= 0; --j) {\n                features.remove(deselected[j]);\n            }\n            features.extend(selected);\n        }\n        if (selected.length > 0 || deselected.length > 0) {\n            this.dispatchEvent(new SelectEvent(SelectEventType.SELECT, selected, deselected, mapBrowserEvent));\n        }\n        return true;\n    };\n    return Select;\n}(Interaction));\n/**\n * @return {import(\"../style/Style.js\").StyleFunction} Styles.\n */\nfunction getDefaultStyleFunction() {\n    var styles = createEditingStyle();\n    extend(styles[GeometryType.POLYGON], styles[GeometryType.LINE_STRING]);\n    extend(styles[GeometryType.GEOMETRY_COLLECTION], styles[GeometryType.LINE_STRING]);\n    return function (feature) {\n        if (!feature.getGeometry()) {\n            return null;\n        }\n        return styles[feature.getGeometry().getType()];\n    };\n}\nexport default Select;\n//# sourceMappingURL=Select.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Snap\n */\nimport CollectionEventType from '../CollectionEventType.js';\nimport EventType from '../events/EventType.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport PointerInteraction from './Pointer.js';\nimport RBush from '../structs/RBush.js';\nimport VectorEventType from '../source/VectorEventType.js';\nimport { FALSE, TRUE } from '../functions.js';\nimport { boundingExtent, createEmpty } from '../extent.js';\nimport { closestOnCircle, closestOnSegment, distance as coordinateDistance, squaredDistance as squaredCoordinateDistance, squaredDistanceToSegment, } from '../coordinate.js';\nimport { fromCircle } from '../geom/Polygon.js';\nimport { fromUserCoordinate, getUserProjection, toUserCoordinate, } from '../proj.js';\nimport { getUid } from '../util.js';\nimport { getValues } from '../obj.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {Object} Result\n * @property {boolean} snapped Snapped.\n * @property {import(\"../coordinate.js\").Coordinate|null} vertex Vertex.\n * @property {import(\"../pixel.js\").Pixel|null} vertexPixel VertexPixel.\n */\n/**\n * @typedef {Object} SegmentData\n * @property {import(\"../Feature.js\").default} feature Feature.\n * @property {Array<import(\"../coordinate.js\").Coordinate>} segment Segment.\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../Collection.js\").default<import(\"../Feature.js\").default>} [features] Snap to these features. Either this option or source should be provided.\n * @property {boolean} [edge=true] Snap to edges.\n * @property {boolean} [vertex=true] Snap to vertices.\n * @property {number} [pixelTolerance=10] Pixel tolerance for considering the pointer close enough to a segment or\n * vertex for snapping.\n * @property {import(\"../source/Vector.js\").default} [source] Snap to features from this source. Either this option or features should be provided\n */\n/**\n * @param  {import(\"../source/Vector.js\").VectorSourceEvent|import(\"../Collection.js\").CollectionEvent} evt Event.\n * @return {import(\"../Feature.js\").default} Feature.\n */\nfunction getFeatureFromEvent(evt) {\n    if (\n    /** @type {import(\"../source/Vector.js\").VectorSourceEvent} */ (evt).feature) {\n        return /** @type {import(\"../source/Vector.js\").VectorSourceEvent} */ (evt)\n            .feature;\n    }\n    else if (\n    /** @type {import(\"../Collection.js\").CollectionEvent} */ (evt).element) {\n        return /** @type {import(\"../Feature.js\").default} */ (\n        /** @type {import(\"../Collection.js\").CollectionEvent} */ (evt).element);\n    }\n}\nvar tempSegment = [];\n/**\n * @classdesc\n * Handles snapping of vector features while modifying or drawing them.  The\n * features can come from a {@link module:ol/source/Vector} or {@link module:ol/Collection~Collection}\n * Any interaction object that allows the user to interact\n * with the features using the mouse can benefit from the snapping, as long\n * as it is added before.\n *\n * The snap interaction modifies map browser event `coordinate` and `pixel`\n * properties to force the snap to occur to any interaction that them.\n *\n * Example:\n *\n *     import Snap from 'ol/interaction/Snap';\n *\n *     const snap = new Snap({\n *       source: source\n *     });\n *\n *     map.addInteraction(snap);\n *\n * @api\n */\nvar Snap = /** @class */ (function (_super) {\n    __extends(Snap, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Snap(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var pointerOptions = /** @type {import(\"./Pointer.js\").Options} */ (options);\n        if (!pointerOptions.handleDownEvent) {\n            pointerOptions.handleDownEvent = TRUE;\n        }\n        if (!pointerOptions.stopDown) {\n            pointerOptions.stopDown = FALSE;\n        }\n        _this = _super.call(this, pointerOptions) || this;\n        /**\n         * @type {import(\"../source/Vector.js\").default}\n         * @private\n         */\n        _this.source_ = options.source ? options.source : null;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.vertex_ = options.vertex !== undefined ? options.vertex : true;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.edge_ = options.edge !== undefined ? options.edge : true;\n        /**\n         * @type {import(\"../Collection.js\").default<import(\"../Feature.js\").default>}\n         * @private\n         */\n        _this.features_ = options.features ? options.features : null;\n        /**\n         * @type {Array<import(\"../events.js\").EventsKey>}\n         * @private\n         */\n        _this.featuresListenerKeys_ = [];\n        /**\n         * @type {Object<string, import(\"../events.js\").EventsKey>}\n         * @private\n         */\n        _this.featureChangeListenerKeys_ = {};\n        /**\n         * Extents are preserved so indexed segment can be quickly removed\n         * when its feature geometry changes\n         * @type {Object<string, import(\"../extent.js\").Extent>}\n         * @private\n         */\n        _this.indexedFeaturesExtents_ = {};\n        /**\n         * If a feature geometry changes while a pointer drag|move event occurs, the\n         * feature doesn't get updated right away.  It will be at the next 'pointerup'\n         * event fired.\n         * @type {!Object<string, import(\"../Feature.js\").default>}\n         * @private\n         */\n        _this.pendingFeatures_ = {};\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.pixelTolerance_ =\n            options.pixelTolerance !== undefined ? options.pixelTolerance : 10;\n        /**\n         * Segment RTree for each layer\n         * @type {import(\"../structs/RBush.js\").default<SegmentData>}\n         * @private\n         */\n        _this.rBush_ = new RBush();\n        /**\n         * @const\n         * @private\n         * @type {Object<string, function(import(\"../Feature.js\").default, import(\"../geom/Geometry.js\").default): void>}\n         */\n        _this.SEGMENT_WRITERS_ = {\n            'Point': _this.writePointGeometry_.bind(_this),\n            'LineString': _this.writeLineStringGeometry_.bind(_this),\n            'LinearRing': _this.writeLineStringGeometry_.bind(_this),\n            'Polygon': _this.writePolygonGeometry_.bind(_this),\n            'MultiPoint': _this.writeMultiPointGeometry_.bind(_this),\n            'MultiLineString': _this.writeMultiLineStringGeometry_.bind(_this),\n            'MultiPolygon': _this.writeMultiPolygonGeometry_.bind(_this),\n            'GeometryCollection': _this.writeGeometryCollectionGeometry_.bind(_this),\n            'Circle': _this.writeCircleGeometry_.bind(_this),\n        };\n        return _this;\n    }\n    /**\n     * Add a feature to the collection of features that we may snap to.\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {boolean} [opt_listen] Whether to listen to the feature change or not\n     *     Defaults to `true`.\n     * @api\n     */\n    Snap.prototype.addFeature = function (feature, opt_listen) {\n        var register = opt_listen !== undefined ? opt_listen : true;\n        var feature_uid = getUid(feature);\n        var geometry = feature.getGeometry();\n        if (geometry) {\n            var segmentWriter = this.SEGMENT_WRITERS_[geometry.getType()];\n            if (segmentWriter) {\n                this.indexedFeaturesExtents_[feature_uid] = geometry.getExtent(createEmpty());\n                segmentWriter(feature, geometry);\n            }\n        }\n        if (register) {\n            this.featureChangeListenerKeys_[feature_uid] = listen(feature, EventType.CHANGE, this.handleFeatureChange_, this);\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @private\n     */\n    Snap.prototype.forEachFeatureAdd_ = function (feature) {\n        this.addFeature(feature);\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @private\n     */\n    Snap.prototype.forEachFeatureRemove_ = function (feature) {\n        this.removeFeature(feature);\n    };\n    /**\n     * @return {import(\"../Collection.js\").default<import(\"../Feature.js\").default>|Array<import(\"../Feature.js\").default>} Features.\n     * @private\n     */\n    Snap.prototype.getFeatures_ = function () {\n        var features;\n        if (this.features_) {\n            features = this.features_;\n        }\n        else if (this.source_) {\n            features = this.source_.getFeatures();\n        }\n        return features;\n    };\n    /**\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Map browser event.\n     * @return {boolean} `false` to stop event propagation.\n     */\n    Snap.prototype.handleEvent = function (evt) {\n        var result = this.snapTo(evt.pixel, evt.coordinate, evt.map);\n        if (result.snapped) {\n            evt.coordinate = result.vertex.slice(0, 2);\n            evt.pixel = result.vertexPixel;\n        }\n        return _super.prototype.handleEvent.call(this, evt);\n    };\n    /**\n     * @param {import(\"../source/Vector.js\").VectorSourceEvent|import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Snap.prototype.handleFeatureAdd_ = function (evt) {\n        var feature = getFeatureFromEvent(evt);\n        this.addFeature(feature);\n    };\n    /**\n     * @param {import(\"../source/Vector.js\").VectorSourceEvent|import(\"../Collection.js\").CollectionEvent} evt Event.\n     * @private\n     */\n    Snap.prototype.handleFeatureRemove_ = function (evt) {\n        var feature = getFeatureFromEvent(evt);\n        this.removeFeature(feature);\n    };\n    /**\n     * @param {import(\"../events/Event.js\").default} evt Event.\n     * @private\n     */\n    Snap.prototype.handleFeatureChange_ = function (evt) {\n        var feature = /** @type {import(\"../Feature.js\").default} */ (evt.target);\n        if (this.handlingDownUpSequence) {\n            var uid = getUid(feature);\n            if (!(uid in this.pendingFeatures_)) {\n                this.pendingFeatures_[uid] = feature;\n            }\n        }\n        else {\n            this.updateFeature_(feature);\n        }\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} evt Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Snap.prototype.handleUpEvent = function (evt) {\n        var featuresToUpdate = getValues(this.pendingFeatures_);\n        if (featuresToUpdate.length) {\n            featuresToUpdate.forEach(this.updateFeature_.bind(this));\n            this.pendingFeatures_ = {};\n        }\n        return false;\n    };\n    /**\n     * Remove a feature from the collection of features that we may snap to.\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {boolean} [opt_unlisten] Whether to unlisten to the feature change\n     *     or not. Defaults to `true`.\n     * @api\n     */\n    Snap.prototype.removeFeature = function (feature, opt_unlisten) {\n        var unregister = opt_unlisten !== undefined ? opt_unlisten : true;\n        var feature_uid = getUid(feature);\n        var extent = this.indexedFeaturesExtents_[feature_uid];\n        if (extent) {\n            var rBush = this.rBush_;\n            var nodesToRemove_1 = [];\n            rBush.forEachInExtent(extent, function (node) {\n                if (feature === node.feature) {\n                    nodesToRemove_1.push(node);\n                }\n            });\n            for (var i = nodesToRemove_1.length - 1; i >= 0; --i) {\n                rBush.remove(nodesToRemove_1[i]);\n            }\n        }\n        if (unregister) {\n            unlistenByKey(this.featureChangeListenerKeys_[feature_uid]);\n            delete this.featureChangeListenerKeys_[feature_uid];\n        }\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Snap.prototype.setMap = function (map) {\n        var currentMap = this.getMap();\n        var keys = this.featuresListenerKeys_;\n        var features = /** @type {Array<import(\"../Feature.js\").default>} */ (this.getFeatures_());\n        if (currentMap) {\n            keys.forEach(unlistenByKey);\n            keys.length = 0;\n            features.forEach(this.forEachFeatureRemove_.bind(this));\n        }\n        _super.prototype.setMap.call(this, map);\n        if (map) {\n            if (this.features_) {\n                keys.push(listen(this.features_, CollectionEventType.ADD, this.handleFeatureAdd_, this), listen(this.features_, CollectionEventType.REMOVE, this.handleFeatureRemove_, this));\n            }\n            else if (this.source_) {\n                keys.push(listen(this.source_, VectorEventType.ADDFEATURE, this.handleFeatureAdd_, this), listen(this.source_, VectorEventType.REMOVEFEATURE, this.handleFeatureRemove_, this));\n            }\n            features.forEach(this.forEachFeatureAdd_.bind(this));\n        }\n    };\n    /**\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel\n     * @param {import(\"../coordinate.js\").Coordinate} pixelCoordinate Coordinate\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     * @return {Result} Snap result\n     */\n    Snap.prototype.snapTo = function (pixel, pixelCoordinate, map) {\n        var lowerLeft = map.getCoordinateFromPixel([\n            pixel[0] - this.pixelTolerance_,\n            pixel[1] + this.pixelTolerance_,\n        ]);\n        var upperRight = map.getCoordinateFromPixel([\n            pixel[0] + this.pixelTolerance_,\n            pixel[1] - this.pixelTolerance_,\n        ]);\n        var box = boundingExtent([lowerLeft, upperRight]);\n        var segments = this.rBush_.getInExtent(box);\n        // If snapping on vertices only, don't consider circles\n        if (this.vertex_ && !this.edge_) {\n            segments = segments.filter(function (segment) {\n                return segment.feature.getGeometry().getType() !== GeometryType.CIRCLE;\n            });\n        }\n        var snapped = false;\n        var vertex = null;\n        var vertexPixel = null;\n        if (segments.length === 0) {\n            return {\n                snapped: snapped,\n                vertex: vertex,\n                vertexPixel: vertexPixel,\n            };\n        }\n        var projection = map.getView().getProjection();\n        var projectedCoordinate = fromUserCoordinate(pixelCoordinate, projection);\n        var closestSegmentData;\n        var minSquaredDistance = Infinity;\n        for (var i = 0; i < segments.length; ++i) {\n            var segmentData = segments[i];\n            tempSegment[0] = fromUserCoordinate(segmentData.segment[0], projection);\n            tempSegment[1] = fromUserCoordinate(segmentData.segment[1], projection);\n            var delta = squaredDistanceToSegment(projectedCoordinate, tempSegment);\n            if (delta < minSquaredDistance) {\n                closestSegmentData = segmentData;\n                minSquaredDistance = delta;\n            }\n        }\n        var closestSegment = closestSegmentData.segment;\n        if (this.vertex_ && !this.edge_) {\n            var pixel1 = map.getPixelFromCoordinate(closestSegment[0]);\n            var pixel2 = map.getPixelFromCoordinate(closestSegment[1]);\n            var squaredDist1 = squaredCoordinateDistance(pixel, pixel1);\n            var squaredDist2 = squaredCoordinateDistance(pixel, pixel2);\n            var dist = Math.sqrt(Math.min(squaredDist1, squaredDist2));\n            if (dist <= this.pixelTolerance_) {\n                snapped = true;\n                vertex =\n                    squaredDist1 > squaredDist2 ? closestSegment[1] : closestSegment[0];\n                vertexPixel = map.getPixelFromCoordinate(vertex);\n            }\n        }\n        else if (this.edge_) {\n            var isCircle = closestSegmentData.feature.getGeometry().getType() ===\n                GeometryType.CIRCLE;\n            if (isCircle) {\n                var circleGeometry = closestSegmentData.feature.getGeometry();\n                var userProjection = getUserProjection();\n                if (userProjection) {\n                    circleGeometry = circleGeometry\n                        .clone()\n                        .transform(userProjection, projection);\n                }\n                vertex = toUserCoordinate(closestOnCircle(projectedCoordinate, \n                /** @type {import(\"../geom/Circle.js\").default} */ (circleGeometry)), projection);\n            }\n            else {\n                tempSegment[0] = fromUserCoordinate(closestSegment[0], projection);\n                tempSegment[1] = fromUserCoordinate(closestSegment[1], projection);\n                vertex = toUserCoordinate(closestOnSegment(projectedCoordinate, tempSegment), projection);\n            }\n            vertexPixel = map.getPixelFromCoordinate(vertex);\n            if (coordinateDistance(pixel, vertexPixel) <= this.pixelTolerance_) {\n                snapped = true;\n                if (this.vertex_ && !isCircle) {\n                    var pixel1 = map.getPixelFromCoordinate(closestSegment[0]);\n                    var pixel2 = map.getPixelFromCoordinate(closestSegment[1]);\n                    var squaredDist1 = squaredCoordinateDistance(vertexPixel, pixel1);\n                    var squaredDist2 = squaredCoordinateDistance(vertexPixel, pixel2);\n                    var dist = Math.sqrt(Math.min(squaredDist1, squaredDist2));\n                    if (dist <= this.pixelTolerance_) {\n                        vertex =\n                            squaredDist1 > squaredDist2\n                                ? closestSegment[1]\n                                : closestSegment[0];\n                        vertexPixel = map.getPixelFromCoordinate(vertex);\n                    }\n                }\n            }\n        }\n        if (snapped) {\n            vertexPixel = [Math.round(vertexPixel[0]), Math.round(vertexPixel[1])];\n        }\n        return {\n            snapped: snapped,\n            vertex: vertex,\n            vertexPixel: vertexPixel,\n        };\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @private\n     */\n    Snap.prototype.updateFeature_ = function (feature) {\n        this.removeFeature(feature, false);\n        this.addFeature(feature, false);\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/Circle.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeCircleGeometry_ = function (feature, geometry) {\n        var projection = this.getMap().getView().getProjection();\n        var circleGeometry = geometry;\n        var userProjection = getUserProjection();\n        if (userProjection) {\n            circleGeometry = /** @type {import(\"../geom/Circle.js\").default} */ (circleGeometry.clone().transform(userProjection, projection));\n        }\n        var polygon = fromCircle(circleGeometry);\n        if (userProjection) {\n            polygon.transform(projection, userProjection);\n        }\n        var coordinates = polygon.getCoordinates()[0];\n        for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n            var segment = coordinates.slice(i, i + 2);\n            var segmentData = {\n                feature: feature,\n                segment: segment,\n            };\n            this.rBush_.insert(boundingExtent(segment), segmentData);\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/GeometryCollection.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeGeometryCollectionGeometry_ = function (feature, geometry) {\n        var geometries = geometry.getGeometriesArray();\n        for (var i = 0; i < geometries.length; ++i) {\n            var segmentWriter = this.SEGMENT_WRITERS_[geometries[i].getType()];\n            if (segmentWriter) {\n                segmentWriter(feature, geometries[i]);\n            }\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/LineString.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeLineStringGeometry_ = function (feature, geometry) {\n        var coordinates = geometry.getCoordinates();\n        for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n            var segment = coordinates.slice(i, i + 2);\n            var segmentData = {\n                feature: feature,\n                segment: segment,\n            };\n            this.rBush_.insert(boundingExtent(segment), segmentData);\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/MultiLineString.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeMultiLineStringGeometry_ = function (feature, geometry) {\n        var lines = geometry.getCoordinates();\n        for (var j = 0, jj = lines.length; j < jj; ++j) {\n            var coordinates = lines[j];\n            for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                var segment = coordinates.slice(i, i + 2);\n                var segmentData = {\n                    feature: feature,\n                    segment: segment,\n                };\n                this.rBush_.insert(boundingExtent(segment), segmentData);\n            }\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/MultiPoint.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeMultiPointGeometry_ = function (feature, geometry) {\n        var points = geometry.getCoordinates();\n        for (var i = 0, ii = points.length; i < ii; ++i) {\n            var coordinates = points[i];\n            var segmentData = {\n                feature: feature,\n                segment: [coordinates, coordinates],\n            };\n            this.rBush_.insert(geometry.getExtent(), segmentData);\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/MultiPolygon.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writeMultiPolygonGeometry_ = function (feature, geometry) {\n        var polygons = geometry.getCoordinates();\n        for (var k = 0, kk = polygons.length; k < kk; ++k) {\n            var rings = polygons[k];\n            for (var j = 0, jj = rings.length; j < jj; ++j) {\n                var coordinates = rings[j];\n                for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                    var segment = coordinates.slice(i, i + 2);\n                    var segmentData = {\n                        feature: feature,\n                        segment: segment,\n                    };\n                    this.rBush_.insert(boundingExtent(segment), segmentData);\n                }\n            }\n        }\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/Point.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writePointGeometry_ = function (feature, geometry) {\n        var coordinates = geometry.getCoordinates();\n        var segmentData = {\n            feature: feature,\n            segment: [coordinates, coordinates],\n        };\n        this.rBush_.insert(geometry.getExtent(), segmentData);\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature\n     * @param {import(\"../geom/Polygon.js\").default} geometry Geometry.\n     * @private\n     */\n    Snap.prototype.writePolygonGeometry_ = function (feature, geometry) {\n        var rings = geometry.getCoordinates();\n        for (var j = 0, jj = rings.length; j < jj; ++j) {\n            var coordinates = rings[j];\n            for (var i = 0, ii = coordinates.length - 1; i < ii; ++i) {\n                var segment = coordinates.slice(i, i + 2);\n                var segmentData = {\n                    feature: feature,\n                    segment: segment,\n                };\n                this.rBush_.insert(boundingExtent(segment), segmentData);\n            }\n        }\n    };\n    return Snap;\n}(PointerInteraction));\nexport default Snap;\n//# sourceMappingURL=Snap.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/interaction/Translate\n */\nimport Collection from '../Collection.js';\nimport Event from '../events/Event.js';\nimport InteractionProperty from './Property.js';\nimport PointerInteraction from './Pointer.js';\nimport { TRUE } from '../functions.js';\nimport { always } from '../events/condition.js';\nimport { includes } from '../array.js';\n/**\n * @enum {string}\n */\nvar TranslateEventType = {\n    /**\n     * Triggered upon feature translation start.\n     * @event TranslateEvent#translatestart\n     * @api\n     */\n    TRANSLATESTART: 'translatestart',\n    /**\n     * Triggered upon feature translation.\n     * @event TranslateEvent#translating\n     * @api\n     */\n    TRANSLATING: 'translating',\n    /**\n     * Triggered upon feature translation end.\n     * @event TranslateEvent#translateend\n     * @api\n     */\n    TRANSLATEEND: 'translateend',\n};\n/**\n * A function that takes an {@link module:ol/Feature} or\n * {@link module:ol/render/Feature} and an\n * {@link module:ol/layer/Layer} and returns `true` if the feature may be\n * translated or `false` otherwise.\n * @typedef {function(import(\"../Feature.js\").FeatureLike, import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>):boolean} FilterFunction\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../events/condition.js\").Condition} [condition] A function that\n * takes an {@link module:ol/MapBrowserEvent~MapBrowserEvent} and returns a\n * boolean to indicate whether that event should be handled.\n * Default is {@link module:ol/events/condition.always}.\n * @property {Collection<import(\"../Feature.js\").default>} [features] Features contained in this collection will be able to be translated together.\n * @property {Array<import(\"../layer/Layer.js\").default>|function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} [layers] A list of layers from which features should be\n * translated. Alternatively, a filter function can be provided. The\n * function will be called for each layer in the map and should return\n * `true` for layers that you want to be translatable. If the option is\n * absent, all visible layers will be considered translatable.\n * Not used if `features` is provided.\n * @property {FilterFunction} [filter] A function\n * that takes an {@link module:ol/Feature} and an\n * {@link module:ol/layer/Layer} and returns `true` if the feature may be\n * translated or `false` otherwise. Not used if `features` is provided.\n * @property {number} [hitTolerance=0] Hit-detection tolerance. Pixels inside the radius around the given position\n * will be checked for features.\n */\n/**\n * @classdesc\n * Events emitted by {@link module:ol/interaction/Translate~Translate} instances\n * are instances of this type.\n */\nvar TranslateEvent = /** @class */ (function (_super) {\n    __extends(TranslateEvent, _super);\n    /**\n     * @param {TranslateEventType} type Type.\n     * @param {Collection<import(\"../Feature.js\").default>} features The features translated.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate The event coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} startCoordinate The original coordinates before.translation started\n     * @param {import(\"../MapBrowserEvent.js\").default} mapBrowserEvent Map browser event.\n     */\n    function TranslateEvent(type, features, coordinate, startCoordinate, mapBrowserEvent) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The features being translated.\n         * @type {Collection<import(\"../Feature.js\").default>}\n         * @api\n         */\n        _this.features = features;\n        /**\n         * The coordinate of the drag event.\n         * @const\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @api\n         */\n        _this.coordinate = coordinate;\n        /**\n         * The coordinate of the start position before translation started.\n         * @const\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @api\n         */\n        _this.startCoordinate = startCoordinate;\n        /**\n         * Associated {@link module:ol/MapBrowserEvent}.\n         * @type {import(\"../MapBrowserEvent.js\").default}\n         * @api\n         */\n        _this.mapBrowserEvent = mapBrowserEvent;\n        return _this;\n    }\n    return TranslateEvent;\n}(Event));\nexport { TranslateEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types|\n *     'change:active', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<'translateend'|'translatestart'|'translating', TranslateEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     'change:active'|'translateend'|'translatestart'|'translating', Return>} TranslateOnSignature\n */\n/**\n * @classdesc\n * Interaction for translating (moving) features.\n * If you want to translate multiple features in a single action (for example,\n * the collection used by a select interaction), construct the interaction with\n * the `features` option.\n *\n * @fires TranslateEvent\n * @api\n */\nvar Translate = /** @class */ (function (_super) {\n    __extends(Translate, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Translate(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, /** @type {import(\"./Pointer.js\").Options} */ (options)) || this;\n        /***\n         * @type {TranslateOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {TranslateOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {TranslateOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * The last position we translated to.\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @private\n         */\n        _this.lastCoordinate_ = null;\n        /**\n         * The start position before translation started.\n         * @type {import(\"../coordinate.js\").Coordinate}\n         * @private\n         */\n        _this.startCoordinate_ = null;\n        /**\n         * @type {Collection<import(\"../Feature.js\").default>}\n         * @private\n         */\n        _this.features_ = options.features !== undefined ? options.features : null;\n        /** @type {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean} */\n        var layerFilter;\n        if (options.layers && !_this.features_) {\n            if (typeof options.layers === 'function') {\n                layerFilter = options.layers;\n            }\n            else {\n                var layers_1 = options.layers;\n                layerFilter = function (layer) {\n                    return includes(layers_1, layer);\n                };\n            }\n        }\n        else {\n            layerFilter = TRUE;\n        }\n        /**\n         * @private\n         * @type {function(import(\"../layer/Layer.js\").default<import(\"../source/Source\").default>): boolean}\n         */\n        _this.layerFilter_ = layerFilter;\n        /**\n         * @private\n         * @type {FilterFunction}\n         */\n        _this.filter_ = options.filter && !_this.features_ ? options.filter : TRUE;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.hitTolerance_ = options.hitTolerance ? options.hitTolerance : 0;\n        /**\n         * @private\n         * @type {import(\"../events/condition.js\").Condition}\n         */\n        _this.condition_ = options.condition ? options.condition : always;\n        /**\n         * @type {import(\"../Feature.js\").default}\n         * @private\n         */\n        _this.lastFeature_ = null;\n        _this.addChangeListener(InteractionProperty.ACTIVE, _this.handleActiveChanged_);\n        return _this;\n    }\n    /**\n     * Handle pointer down events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Translate.prototype.handleDownEvent = function (event) {\n        if (!event.originalEvent || !this.condition_(event)) {\n            return false;\n        }\n        this.lastFeature_ = this.featuresAtPixel_(event.pixel, event.map);\n        if (!this.lastCoordinate_ && this.lastFeature_) {\n            this.startCoordinate_ = event.coordinate;\n            this.lastCoordinate_ = event.coordinate;\n            this.handleMoveEvent(event);\n            var features = this.features_ || new Collection([this.lastFeature_]);\n            this.dispatchEvent(new TranslateEvent(TranslateEventType.TRANSLATESTART, features, event.coordinate, this.startCoordinate_, event));\n            return true;\n        }\n        return false;\n    };\n    /**\n     * Handle pointer up events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     * @return {boolean} If the event was consumed.\n     */\n    Translate.prototype.handleUpEvent = function (event) {\n        if (this.lastCoordinate_) {\n            this.lastCoordinate_ = null;\n            this.handleMoveEvent(event);\n            var features = this.features_ || new Collection([this.lastFeature_]);\n            this.dispatchEvent(new TranslateEvent(TranslateEventType.TRANSLATEEND, features, event.coordinate, this.startCoordinate_, event));\n            // cleanup\n            this.startCoordinate_ = null;\n            return true;\n        }\n        return false;\n    };\n    /**\n     * Handle pointer drag events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     */\n    Translate.prototype.handleDragEvent = function (event) {\n        if (this.lastCoordinate_) {\n            var newCoordinate = event.coordinate;\n            var deltaX_1 = newCoordinate[0] - this.lastCoordinate_[0];\n            var deltaY_1 = newCoordinate[1] - this.lastCoordinate_[1];\n            var features = this.features_ || new Collection([this.lastFeature_]);\n            features.forEach(function (feature) {\n                var geom = feature.getGeometry();\n                geom.translate(deltaX_1, deltaY_1);\n                feature.setGeometry(geom);\n            });\n            this.lastCoordinate_ = newCoordinate;\n            this.dispatchEvent(new TranslateEvent(TranslateEventType.TRANSLATING, features, newCoordinate, this.startCoordinate_, event));\n        }\n    };\n    /**\n     * Handle pointer move events.\n     * @param {import(\"../MapBrowserEvent.js\").default} event Event.\n     */\n    Translate.prototype.handleMoveEvent = function (event) {\n        var elem = event.map.getViewport();\n        // Change the cursor to grab/grabbing if hovering any of the features managed\n        // by the interaction\n        if (this.featuresAtPixel_(event.pixel, event.map)) {\n            elem.classList.remove(this.lastCoordinate_ ? 'ol-grab' : 'ol-grabbing');\n            elem.classList.add(this.lastCoordinate_ ? 'ol-grabbing' : 'ol-grab');\n        }\n        else {\n            elem.classList.remove('ol-grab', 'ol-grabbing');\n        }\n    };\n    /**\n     * Tests to see if the given coordinates intersects any of our selected\n     * features.\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel coordinate to test for intersection.\n     * @param {import(\"../PluggableMap.js\").default} map Map to test the intersection on.\n     * @return {import(\"../Feature.js\").default} Returns the feature found at the specified pixel\n     * coordinates.\n     * @private\n     */\n    Translate.prototype.featuresAtPixel_ = function (pixel, map) {\n        return map.forEachFeatureAtPixel(pixel, function (feature, layer) {\n            if (this.filter_(feature, layer)) {\n                if (!this.features_ || includes(this.features_.getArray(), feature)) {\n                    return feature;\n                }\n            }\n        }.bind(this), {\n            layerFilter: this.layerFilter_,\n            hitTolerance: this.hitTolerance_,\n        });\n    };\n    /**\n     * Returns the Hit-detection tolerance.\n     * @return {number} Hit tolerance in pixels.\n     * @api\n     */\n    Translate.prototype.getHitTolerance = function () {\n        return this.hitTolerance_;\n    };\n    /**\n     * Hit-detection tolerance. Pixels inside the radius around the given position\n     * will be checked for features.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @api\n     */\n    Translate.prototype.setHitTolerance = function (hitTolerance) {\n        this.hitTolerance_ = hitTolerance;\n    };\n    /**\n     * Remove the interaction from its current map and attach it to the new map.\n     * Subclasses may set up event handlers to get notified about changes to\n     * the map here.\n     * @param {import(\"../PluggableMap.js\").default} map Map.\n     */\n    Translate.prototype.setMap = function (map) {\n        var oldMap = this.getMap();\n        _super.prototype.setMap.call(this, map);\n        this.updateState_(oldMap);\n    };\n    /**\n     * @private\n     */\n    Translate.prototype.handleActiveChanged_ = function () {\n        this.updateState_(null);\n    };\n    /**\n     * @param {import(\"../PluggableMap.js\").default} oldMap Old map.\n     * @private\n     */\n    Translate.prototype.updateState_ = function (oldMap) {\n        var map = this.getMap();\n        var active = this.getActive();\n        if (!map || !active) {\n            map = map || oldMap;\n            if (map) {\n                var elem = map.getViewport();\n                elem.classList.remove('ol-grab', 'ol-grabbing');\n            }\n        }\n    };\n    return Translate;\n}(PointerInteraction));\nexport default Translate;\n//# sourceMappingURL=Translate.js.map","/**\n * @module ol/interaction\n */\nimport Collection from './Collection.js';\nimport DoubleClickZoom from './interaction/DoubleClickZoom.js';\nimport DragPan from './interaction/DragPan.js';\nimport DragRotate from './interaction/DragRotate.js';\nimport DragZoom from './interaction/DragZoom.js';\nimport KeyboardPan from './interaction/KeyboardPan.js';\nimport KeyboardZoom from './interaction/KeyboardZoom.js';\nimport Kinetic from './Kinetic.js';\nimport MouseWheelZoom from './interaction/MouseWheelZoom.js';\nimport PinchRotate from './interaction/PinchRotate.js';\nimport PinchZoom from './interaction/PinchZoom.js';\nexport { default as DoubleClickZoom } from './interaction/DoubleClickZoom.js';\nexport { default as DragAndDrop } from './interaction/DragAndDrop.js';\nexport { default as DragBox } from './interaction/DragBox.js';\nexport { default as DragPan } from './interaction/DragPan.js';\nexport { default as DragRotate } from './interaction/DragRotate.js';\nexport { default as DragRotateAndZoom } from './interaction/DragRotateAndZoom.js';\nexport { default as DragZoom } from './interaction/DragZoom.js';\nexport { default as Draw } from './interaction/Draw.js';\nexport { default as Extent } from './interaction/Extent.js';\nexport { default as Interaction } from './interaction/Interaction.js';\nexport { default as KeyboardPan } from './interaction/KeyboardPan.js';\nexport { default as KeyboardZoom } from './interaction/KeyboardZoom.js';\nexport { default as Modify } from './interaction/Modify.js';\nexport { default as MouseWheelZoom } from './interaction/MouseWheelZoom.js';\nexport { default as PinchRotate } from './interaction/PinchRotate.js';\nexport { default as PinchZoom } from './interaction/PinchZoom.js';\nexport { default as Pointer } from './interaction/Pointer.js';\nexport { default as Select } from './interaction/Select.js';\nexport { default as Snap } from './interaction/Snap.js';\nexport { default as Translate } from './interaction/Translate.js';\n/**\n * @typedef {Object} DefaultsOptions\n * @property {boolean} [altShiftDragRotate=true] Whether Alt-Shift-drag rotate is\n * desired.\n * @property {boolean} [onFocusOnly=false] Interact only when the map has the\n * focus. This affects the `MouseWheelZoom` and `DragPan` interactions and is\n * useful when page scroll is desired for maps that do not have the browser's\n * focus.\n * @property {boolean} [doubleClickZoom=true] Whether double click zoom is\n * desired.\n * @property {boolean} [keyboard=true] Whether keyboard interaction is desired.\n * @property {boolean} [mouseWheelZoom=true] Whether mousewheel zoom is desired.\n * @property {boolean} [shiftDragZoom=true] Whether Shift-drag zoom is desired.\n * @property {boolean} [dragPan=true] Whether drag pan is desired.\n * @property {boolean} [pinchRotate=true] Whether pinch rotate is desired.\n * @property {boolean} [pinchZoom=true] Whether pinch zoom is desired.\n * @property {number} [zoomDelta] Zoom level delta when using keyboard or double click zoom.\n * @property {number} [zoomDuration] Duration of the zoom animation in\n * milliseconds.\n */\n/**\n * Set of interactions included in maps by default. Specific interactions can be\n * excluded by setting the appropriate option to false in the constructor\n * options, but the order of the interactions is fixed.  If you want to specify\n * a different order for interactions, you will need to create your own\n * {@link module:ol/interaction/Interaction} instances and insert\n * them into a {@link module:ol/Collection} in the order you want\n * before creating your {@link module:ol/Map~Map} instance. Changing the order can\n * be of interest if the event propagation needs to be stopped at a point.\n * The default set of interactions, in sequence, is:\n * * {@link module:ol/interaction/DragRotate~DragRotate}\n * * {@link module:ol/interaction/DoubleClickZoom~DoubleClickZoom}\n * * {@link module:ol/interaction/DragPan~DragPan}\n * * {@link module:ol/interaction/PinchRotate~PinchRotate}\n * * {@link module:ol/interaction/PinchZoom~PinchZoom}\n * * {@link module:ol/interaction/KeyboardPan~KeyboardPan}\n * * {@link module:ol/interaction/KeyboardZoom~KeyboardZoom}\n * * {@link module:ol/interaction/MouseWheelZoom~MouseWheelZoom}\n * * {@link module:ol/interaction/DragZoom~DragZoom}\n *\n * @param {DefaultsOptions} [opt_options] Defaults options.\n * @return {import(\"./Collection.js\").default<import(\"./interaction/Interaction.js\").default>}\n * A collection of interactions to be used with the {@link module:ol/Map~Map}\n * constructor's `interactions` option.\n * @api\n */\nexport function defaults(opt_options) {\n    var options = opt_options ? opt_options : {};\n    var interactions = new Collection();\n    var kinetic = new Kinetic(-0.005, 0.05, 100);\n    var altShiftDragRotate = options.altShiftDragRotate !== undefined\n        ? options.altShiftDragRotate\n        : true;\n    if (altShiftDragRotate) {\n        interactions.push(new DragRotate());\n    }\n    var doubleClickZoom = options.doubleClickZoom !== undefined ? options.doubleClickZoom : true;\n    if (doubleClickZoom) {\n        interactions.push(new DoubleClickZoom({\n            delta: options.zoomDelta,\n            duration: options.zoomDuration,\n        }));\n    }\n    var dragPan = options.dragPan !== undefined ? options.dragPan : true;\n    if (dragPan) {\n        interactions.push(new DragPan({\n            onFocusOnly: options.onFocusOnly,\n            kinetic: kinetic,\n        }));\n    }\n    var pinchRotate = options.pinchRotate !== undefined ? options.pinchRotate : true;\n    if (pinchRotate) {\n        interactions.push(new PinchRotate());\n    }\n    var pinchZoom = options.pinchZoom !== undefined ? options.pinchZoom : true;\n    if (pinchZoom) {\n        interactions.push(new PinchZoom({\n            duration: options.zoomDuration,\n        }));\n    }\n    var keyboard = options.keyboard !== undefined ? options.keyboard : true;\n    if (keyboard) {\n        interactions.push(new KeyboardPan());\n        interactions.push(new KeyboardZoom({\n            delta: options.zoomDelta,\n            duration: options.zoomDuration,\n        }));\n    }\n    var mouseWheelZoom = options.mouseWheelZoom !== undefined ? options.mouseWheelZoom : true;\n    if (mouseWheelZoom) {\n        interactions.push(new MouseWheelZoom({\n            onFocusOnly: options.onFocusOnly,\n            duration: options.zoomDuration,\n        }));\n    }\n    var shiftDragZoom = options.shiftDragZoom !== undefined ? options.shiftDragZoom : true;\n    if (shiftDragZoom) {\n        interactions.push(new DragZoom({\n            duration: options.zoomDuration,\n        }));\n    }\n    return interactions;\n}\n//# sourceMappingURL=interaction.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/Map\n */\nimport CompositeMapRenderer from './renderer/Composite.js';\nimport PluggableMap from './PluggableMap.js';\nimport { assign } from './obj.js';\nimport { defaults as defaultControls } from './control.js';\nimport { defaults as defaultInteractions } from './interaction.js';\n/**\n * @classdesc\n * The map is the core component of OpenLayers. For a map to render, a view,\n * one or more layers, and a target container are needed:\n *\n *     import Map from 'ol/Map';\n *     import View from 'ol/View';\n *     import TileLayer from 'ol/layer/Tile';\n *     import OSM from 'ol/source/OSM';\n *\n *     var map = new Map({\n *       view: new View({\n *         center: [0, 0],\n *         zoom: 1\n *       }),\n *       layers: [\n *         new TileLayer({\n *           source: new OSM()\n *         })\n *       ],\n *       target: 'map'\n *     });\n *\n * The above snippet creates a map using a {@link module:ol/layer/Tile} to\n * display {@link module:ol/source/OSM~OSM} OSM data and render it to a DOM\n * element with the id `map`.\n *\n * The constructor places a viewport container (with CSS class name\n * `ol-viewport`) in the target element (see `getViewport()`), and then two\n * further elements within the viewport: one with CSS class name\n * `ol-overlaycontainer-stopevent` for controls and some overlays, and one with\n * CSS class name `ol-overlaycontainer` for other overlays (see the `stopEvent`\n * option of {@link module:ol/Overlay~Overlay} for the difference). The map\n * itself is placed in a further element within the viewport.\n *\n * Layers are stored as a {@link module:ol/Collection~Collection} in\n * layerGroups. A top-level group is provided by the library. This is what is\n * accessed by `getLayerGroup` and `setLayerGroup`. Layers entered in the\n * options are added to this group, and `addLayer` and `removeLayer` change the\n * layer collection in the group. `getLayers` is a convenience function for\n * `getLayerGroup().getLayers()`. Note that {@link module:ol/layer/Group~Group}\n * is a subclass of {@link module:ol/layer/Base}, so layers entered in the\n * options or added with `addLayer` can be groups, which can contain further\n * groups, and so on.\n *\n * @api\n */\nvar Map = /** @class */ (function (_super) {\n    __extends(Map, _super);\n    /**\n     * @param {import(\"./PluggableMap.js\").MapOptions} options Map options.\n     */\n    function Map(options) {\n        var _this = this;\n        options = assign({}, options);\n        if (!options.controls) {\n            options.controls = defaultControls();\n        }\n        if (!options.interactions) {\n            options.interactions = defaultInteractions({\n                onFocusOnly: true,\n            });\n        }\n        _this = _super.call(this, options) || this;\n        return _this;\n    }\n    Map.prototype.createRenderer = function () {\n        return new CompositeMapRenderer(this);\n    };\n    return Map;\n}(PluggableMap));\nexport default Map;\n//# sourceMappingURL=Map.js.map","/**\n * @module ol/control\n */\nimport Attribution from './control/Attribution.js';\nimport Collection from './Collection.js';\nimport Rotate from './control/Rotate.js';\nimport Zoom from './control/Zoom.js';\nexport { default as Attribution } from './control/Attribution.js';\nexport { default as Control } from './control/Control.js';\nexport { default as FullScreen } from './control/FullScreen.js';\nexport { default as MousePosition } from './control/MousePosition.js';\nexport { default as OverviewMap } from './control/OverviewMap.js';\nexport { default as Rotate } from './control/Rotate.js';\nexport { default as ScaleLine } from './control/ScaleLine.js';\nexport { default as Zoom } from './control/Zoom.js';\nexport { default as ZoomSlider } from './control/ZoomSlider.js';\nexport { default as ZoomToExtent } from './control/ZoomToExtent.js';\n/**\n * @typedef {Object} DefaultsOptions\n * @property {boolean} [attribution=true] Include\n * {@link module:ol/control/Attribution~Attribution}.\n * @property {import(\"./control/Attribution.js\").Options} [attributionOptions]\n * Options for {@link module:ol/control/Attribution~Attribution}.\n * @property {boolean} [rotate=true] Include\n * {@link module:ol/control/Rotate~Rotate}.\n * @property {import(\"./control/Rotate.js\").Options} [rotateOptions] Options\n * for {@link module:ol/control/Rotate~Rotate}.\n * @property {boolean} [zoom] Include {@link module:ol/control/Zoom~Zoom}.\n * @property {import(\"./control/Zoom.js\").Options} [zoomOptions] Options for\n * {@link module:ol/control/Zoom~Zoom}.\n * @api\n */\n/**\n * Set of controls included in maps by default. Unless configured otherwise,\n * this returns a collection containing an instance of each of the following\n * controls:\n * * {@link module:ol/control/Zoom~Zoom}\n * * {@link module:ol/control/Rotate~Rotate}\n * * {@link module:ol/control/Attribution~Attribution}\n *\n * @param {DefaultsOptions} [opt_options]\n * Defaults options.\n * @return {Collection<import(\"./control/Control.js\").default>}\n * Controls.\n * @api\n */\nexport function defaults(opt_options) {\n    var options = opt_options ? opt_options : {};\n    var controls = new Collection();\n    var zoomControl = options.zoom !== undefined ? options.zoom : true;\n    if (zoomControl) {\n        controls.push(new Zoom(options.zoomOptions));\n    }\n    var rotateControl = options.rotate !== undefined ? options.rotate : true;\n    if (rotateControl) {\n        controls.push(new Rotate(options.rotateOptions));\n    }\n    var attributionControl = options.attribution !== undefined ? options.attribution : true;\n    if (attributionControl) {\n        controls.push(new Attribution(options.attributionOptions));\n    }\n    return controls;\n}\n//# sourceMappingURL=control.js.map","/**\n * @module ol/structs/LRUCache\n */\nimport { assert } from '../asserts.js';\n/**\n * @typedef {Object} Entry\n * @property {string} key_ Key.\n * @property {Object} newer Newer.\n * @property {Object} older Older.\n * @property {*} value_ Value.\n */\n/**\n * @classdesc\n * Implements a Least-Recently-Used cache where the keys do not conflict with\n * Object's properties (e.g. 'hasOwnProperty' is not allowed as a key). Expiring\n * items from the cache is the responsibility of the user.\n *\n * @fires import(\"../events/Event.js\").default\n * @template T\n */\nvar LRUCache = /** @class */ (function () {\n    /**\n     * @param {number} [opt_highWaterMark] High water mark.\n     */\n    function LRUCache(opt_highWaterMark) {\n        /**\n         * Desired max cache size after expireCache(). If set to 0, no cache entries\n         * will be pruned at all.\n         * @type {number}\n         */\n        this.highWaterMark =\n            opt_highWaterMark !== undefined ? opt_highWaterMark : 2048;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.count_ = 0;\n        /**\n         * @private\n         * @type {!Object<string, Entry>}\n         */\n        this.entries_ = {};\n        /**\n         * @private\n         * @type {?Entry}\n         */\n        this.oldest_ = null;\n        /**\n         * @private\n         * @type {?Entry}\n         */\n        this.newest_ = null;\n    }\n    /**\n     * @return {boolean} Can expire cache.\n     */\n    LRUCache.prototype.canExpireCache = function () {\n        return this.highWaterMark > 0 && this.getCount() > this.highWaterMark;\n    };\n    /**\n     * FIXME empty description for jsdoc\n     */\n    LRUCache.prototype.clear = function () {\n        this.count_ = 0;\n        this.entries_ = {};\n        this.oldest_ = null;\n        this.newest_ = null;\n    };\n    /**\n     * @param {string} key Key.\n     * @return {boolean} Contains key.\n     */\n    LRUCache.prototype.containsKey = function (key) {\n        return this.entries_.hasOwnProperty(key);\n    };\n    /**\n     * @param {function(T, string, LRUCache<T>): ?} f The function\n     *     to call for every entry from the oldest to the newer. This function takes\n     *     3 arguments (the entry value, the entry key and the LRUCache object).\n     *     The return value is ignored.\n     */\n    LRUCache.prototype.forEach = function (f) {\n        var entry = this.oldest_;\n        while (entry) {\n            f(entry.value_, entry.key_, this);\n            entry = entry.newer;\n        }\n    };\n    /**\n     * @param {string} key Key.\n     * @param {*} [opt_options] Options (reserved for subclasses).\n     * @return {T} Value.\n     */\n    LRUCache.prototype.get = function (key, opt_options) {\n        var entry = this.entries_[key];\n        assert(entry !== undefined, 15); // Tried to get a value for a key that does not exist in the cache\n        if (entry === this.newest_) {\n            return entry.value_;\n        }\n        else if (entry === this.oldest_) {\n            this.oldest_ = /** @type {Entry} */ (this.oldest_.newer);\n            this.oldest_.older = null;\n        }\n        else {\n            entry.newer.older = entry.older;\n            entry.older.newer = entry.newer;\n        }\n        entry.newer = null;\n        entry.older = this.newest_;\n        this.newest_.newer = entry;\n        this.newest_ = entry;\n        return entry.value_;\n    };\n    /**\n     * Remove an entry from the cache.\n     * @param {string} key The entry key.\n     * @return {T} The removed entry.\n     */\n    LRUCache.prototype.remove = function (key) {\n        var entry = this.entries_[key];\n        assert(entry !== undefined, 15); // Tried to get a value for a key that does not exist in the cache\n        if (entry === this.newest_) {\n            this.newest_ = /** @type {Entry} */ (entry.older);\n            if (this.newest_) {\n                this.newest_.newer = null;\n            }\n        }\n        else if (entry === this.oldest_) {\n            this.oldest_ = /** @type {Entry} */ (entry.newer);\n            if (this.oldest_) {\n                this.oldest_.older = null;\n            }\n        }\n        else {\n            entry.newer.older = entry.older;\n            entry.older.newer = entry.newer;\n        }\n        delete this.entries_[key];\n        --this.count_;\n        return entry.value_;\n    };\n    /**\n     * @return {number} Count.\n     */\n    LRUCache.prototype.getCount = function () {\n        return this.count_;\n    };\n    /**\n     * @return {Array<string>} Keys.\n     */\n    LRUCache.prototype.getKeys = function () {\n        var keys = new Array(this.count_);\n        var i = 0;\n        var entry;\n        for (entry = this.newest_; entry; entry = entry.older) {\n            keys[i++] = entry.key_;\n        }\n        return keys;\n    };\n    /**\n     * @return {Array<T>} Values.\n     */\n    LRUCache.prototype.getValues = function () {\n        var values = new Array(this.count_);\n        var i = 0;\n        var entry;\n        for (entry = this.newest_; entry; entry = entry.older) {\n            values[i++] = entry.value_;\n        }\n        return values;\n    };\n    /**\n     * @return {T} Last value.\n     */\n    LRUCache.prototype.peekLast = function () {\n        return this.oldest_.value_;\n    };\n    /**\n     * @return {string} Last key.\n     */\n    LRUCache.prototype.peekLastKey = function () {\n        return this.oldest_.key_;\n    };\n    /**\n     * Get the key of the newest item in the cache.  Throws if the cache is empty.\n     * @return {string} The newest key.\n     */\n    LRUCache.prototype.peekFirstKey = function () {\n        return this.newest_.key_;\n    };\n    /**\n     * @return {T} value Value.\n     */\n    LRUCache.prototype.pop = function () {\n        var entry = this.oldest_;\n        delete this.entries_[entry.key_];\n        if (entry.newer) {\n            entry.newer.older = null;\n        }\n        this.oldest_ = /** @type {Entry} */ (entry.newer);\n        if (!this.oldest_) {\n            this.newest_ = null;\n        }\n        --this.count_;\n        return entry.value_;\n    };\n    /**\n     * @param {string} key Key.\n     * @param {T} value Value.\n     */\n    LRUCache.prototype.replace = function (key, value) {\n        this.get(key); // update `newest_`\n        this.entries_[key].value_ = value;\n    };\n    /**\n     * @param {string} key Key.\n     * @param {T} value Value.\n     */\n    LRUCache.prototype.set = function (key, value) {\n        assert(!(key in this.entries_), 16); // Tried to set a value for a key that is used already\n        var entry = {\n            key_: key,\n            newer: null,\n            older: this.newest_,\n            value_: value,\n        };\n        if (!this.newest_) {\n            this.oldest_ = entry;\n        }\n        else {\n            this.newest_.newer = entry;\n        }\n        this.newest_ = entry;\n        this.entries_[key] = entry;\n        ++this.count_;\n    };\n    /**\n     * Set a maximum number of entries for the cache.\n     * @param {number} size Cache size.\n     * @api\n     */\n    LRUCache.prototype.setSize = function (size) {\n        this.highWaterMark = size;\n    };\n    return LRUCache;\n}());\nexport default LRUCache;\n//# sourceMappingURL=LRUCache.js.map","/**\n * @module ol/tilecoord\n */\n/**\n * An array of three numbers representing the location of a tile in a tile\n * grid. The order is `z` (zoom level), `x` (column), and `y` (row).\n * @typedef {Array<number>} TileCoord\n * @api\n */\n/**\n * @param {number} z Z.\n * @param {number} x X.\n * @param {number} y Y.\n * @param {TileCoord} [opt_tileCoord] Tile coordinate.\n * @return {TileCoord} Tile coordinate.\n */\nexport function createOrUpdate(z, x, y, opt_tileCoord) {\n    if (opt_tileCoord !== undefined) {\n        opt_tileCoord[0] = z;\n        opt_tileCoord[1] = x;\n        opt_tileCoord[2] = y;\n        return opt_tileCoord;\n    }\n    else {\n        return [z, x, y];\n    }\n}\n/**\n * @param {number} z Z.\n * @param {number} x X.\n * @param {number} y Y.\n * @return {string} Key.\n */\nexport function getKeyZXY(z, x, y) {\n    return z + '/' + x + '/' + y;\n}\n/**\n * Get the key for a tile coord.\n * @param {TileCoord} tileCoord The tile coord.\n * @return {string} Key.\n */\nexport function getKey(tileCoord) {\n    return getKeyZXY(tileCoord[0], tileCoord[1], tileCoord[2]);\n}\n/**\n * Get the tile cache key for a tile key obtained through `tile.getKey()`.\n * @param {string} tileKey The tile key.\n * @return {string} The cache key.\n */\nexport function getCacheKeyForTileKey(tileKey) {\n    var _a = tileKey\n        .substring(tileKey.lastIndexOf('/') + 1, tileKey.length)\n        .split(',')\n        .map(Number), z = _a[0], x = _a[1], y = _a[2];\n    return getKeyZXY(z, x, y);\n}\n/**\n * Get a tile coord given a key.\n * @param {string} key The tile coord key.\n * @return {TileCoord} The tile coord.\n */\nexport function fromKey(key) {\n    return key.split('/').map(Number);\n}\n/**\n * @param {TileCoord} tileCoord Tile coord.\n * @return {number} Hash.\n */\nexport function hash(tileCoord) {\n    return (tileCoord[1] << tileCoord[0]) + tileCoord[2];\n}\n/**\n * @param {TileCoord} tileCoord Tile coordinate.\n * @param {!import(\"./tilegrid/TileGrid.js\").default} tileGrid Tile grid.\n * @return {boolean} Tile coordinate is within extent and zoom level range.\n */\nexport function withinExtentAndZ(tileCoord, tileGrid) {\n    var z = tileCoord[0];\n    var x = tileCoord[1];\n    var y = tileCoord[2];\n    if (tileGrid.getMinZoom() > z || z > tileGrid.getMaxZoom()) {\n        return false;\n    }\n    var tileRange = tileGrid.getFullTileRange(z);\n    if (!tileRange) {\n        return true;\n    }\n    else {\n        return tileRange.containsXY(x, y);\n    }\n}\n//# sourceMappingURL=tilecoord.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/TileCache\n */\nimport LRUCache from './structs/LRUCache.js';\nimport { fromKey, getKey } from './tilecoord.js';\nvar TileCache = /** @class */ (function (_super) {\n    __extends(TileCache, _super);\n    function TileCache() {\n        return _super !== null && _super.apply(this, arguments) || this;\n    }\n    /**\n     * @param {!Object<string, boolean>} usedTiles Used tiles.\n     */\n    TileCache.prototype.expireCache = function (usedTiles) {\n        while (this.canExpireCache()) {\n            var tile = this.peekLast();\n            if (tile.getKey() in usedTiles) {\n                break;\n            }\n            else {\n                this.pop().release();\n            }\n        }\n    };\n    /**\n     * Prune all tiles from the cache that don't have the same z as the newest tile.\n     */\n    TileCache.prototype.pruneExceptNewestZ = function () {\n        if (this.getCount() === 0) {\n            return;\n        }\n        var key = this.peekFirstKey();\n        var tileCoord = fromKey(key);\n        var z = tileCoord[0];\n        this.forEach(function (tile) {\n            if (tile.tileCoord[0] !== z) {\n                this.remove(getKey(tile.tileCoord));\n                tile.release();\n            }\n        }.bind(this));\n    };\n    return TileCache;\n}(LRUCache));\nexport default TileCache;\n//# sourceMappingURL=TileCache.js.map","/**\n * @module ol/TileRange\n */\n/**\n * A representation of a contiguous block of tiles.  A tile range is specified\n * by its min/max tile coordinates and is inclusive of coordinates.\n */\nvar TileRange = /** @class */ (function () {\n    /**\n     * @param {number} minX Minimum X.\n     * @param {number} maxX Maximum X.\n     * @param {number} minY Minimum Y.\n     * @param {number} maxY Maximum Y.\n     */\n    function TileRange(minX, maxX, minY, maxY) {\n        /**\n         * @type {number}\n         */\n        this.minX = minX;\n        /**\n         * @type {number}\n         */\n        this.maxX = maxX;\n        /**\n         * @type {number}\n         */\n        this.minY = minY;\n        /**\n         * @type {number}\n         */\n        this.maxY = maxY;\n    }\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @return {boolean} Contains tile coordinate.\n     */\n    TileRange.prototype.contains = function (tileCoord) {\n        return this.containsXY(tileCoord[1], tileCoord[2]);\n    };\n    /**\n     * @param {TileRange} tileRange Tile range.\n     * @return {boolean} Contains.\n     */\n    TileRange.prototype.containsTileRange = function (tileRange) {\n        return (this.minX <= tileRange.minX &&\n            tileRange.maxX <= this.maxX &&\n            this.minY <= tileRange.minY &&\n            tileRange.maxY <= this.maxY);\n    };\n    /**\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @return {boolean} Contains coordinate.\n     */\n    TileRange.prototype.containsXY = function (x, y) {\n        return this.minX <= x && x <= this.maxX && this.minY <= y && y <= this.maxY;\n    };\n    /**\n     * @param {TileRange} tileRange Tile range.\n     * @return {boolean} Equals.\n     */\n    TileRange.prototype.equals = function (tileRange) {\n        return (this.minX == tileRange.minX &&\n            this.minY == tileRange.minY &&\n            this.maxX == tileRange.maxX &&\n            this.maxY == tileRange.maxY);\n    };\n    /**\n     * @param {TileRange} tileRange Tile range.\n     */\n    TileRange.prototype.extend = function (tileRange) {\n        if (tileRange.minX < this.minX) {\n            this.minX = tileRange.minX;\n        }\n        if (tileRange.maxX > this.maxX) {\n            this.maxX = tileRange.maxX;\n        }\n        if (tileRange.minY < this.minY) {\n            this.minY = tileRange.minY;\n        }\n        if (tileRange.maxY > this.maxY) {\n            this.maxY = tileRange.maxY;\n        }\n    };\n    /**\n     * @return {number} Height.\n     */\n    TileRange.prototype.getHeight = function () {\n        return this.maxY - this.minY + 1;\n    };\n    /**\n     * @return {import(\"./size.js\").Size} Size.\n     */\n    TileRange.prototype.getSize = function () {\n        return [this.getWidth(), this.getHeight()];\n    };\n    /**\n     * @return {number} Width.\n     */\n    TileRange.prototype.getWidth = function () {\n        return this.maxX - this.minX + 1;\n    };\n    /**\n     * @param {TileRange} tileRange Tile range.\n     * @return {boolean} Intersects.\n     */\n    TileRange.prototype.intersects = function (tileRange) {\n        return (this.minX <= tileRange.maxX &&\n            this.maxX >= tileRange.minX &&\n            this.minY <= tileRange.maxY &&\n            this.maxY >= tileRange.minY);\n    };\n    return TileRange;\n}());\n/**\n * @param {number} minX Minimum X.\n * @param {number} maxX Maximum X.\n * @param {number} minY Minimum Y.\n * @param {number} maxY Maximum Y.\n * @param {TileRange} [tileRange] TileRange.\n * @return {TileRange} Tile range.\n */\nexport function createOrUpdate(minX, maxX, minY, maxY, tileRange) {\n    if (tileRange !== undefined) {\n        tileRange.minX = minX;\n        tileRange.maxX = maxX;\n        tileRange.minY = minY;\n        tileRange.maxY = maxY;\n        return tileRange;\n    }\n    else {\n        return new TileRange(minX, maxX, minY, maxY);\n    }\n}\nexport default TileRange;\n//# sourceMappingURL=TileRange.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/VectorRenderTile\n */\nimport Tile from './Tile.js';\nimport { createCanvasContext2D } from './dom.js';\nimport { getUid } from './util.js';\n/**\n * @typedef {Object} ReplayState\n * @property {boolean} dirty Dirty.\n * @property {null|import(\"./render.js\").OrderFunction} renderedRenderOrder RenderedRenderOrder.\n * @property {number} renderedTileRevision RenderedTileRevision.\n * @property {number} renderedResolution RenderedResolution.\n * @property {number} renderedRevision RenderedRevision.\n * @property {number} renderedTileResolution RenderedTileResolution.\n * @property {number} renderedTileZ RenderedTileZ.\n */\n/**\n * @type {Array<HTMLCanvasElement>}\n */\nvar canvasPool = [];\nvar VectorRenderTile = /** @class */ (function (_super) {\n    __extends(VectorRenderTile, _super);\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"./TileState.js\").default} state State.\n     * @param {import(\"./tilecoord.js\").TileCoord} urlTileCoord Wrapped tile coordinate for source urls.\n     * @param {function(VectorRenderTile):Array<import(\"./VectorTile\").default>} getSourceTiles Function\n     * to get source tiles for this tile.\n     */\n    function VectorRenderTile(tileCoord, state, urlTileCoord, getSourceTiles) {\n        var _this = _super.call(this, tileCoord, state, { transition: 0 }) || this;\n        /**\n         * @private\n         * @type {!Object<string, CanvasRenderingContext2D>}\n         */\n        _this.context_ = {};\n        /**\n         * Executor groups by layer uid. Entries are read/written by the renderer.\n         * @type {Object<string, Array<import(\"./render/canvas/ExecutorGroup.js\").default>>}\n         */\n        _this.executorGroups = {};\n        /**\n         * Executor groups for decluttering, by layer uid. Entries are read/written by the renderer.\n         * @type {Object<string, Array<import(\"./render/canvas/ExecutorGroup.js\").default>>}\n         */\n        _this.declutterExecutorGroups = {};\n        /**\n         * Number of loading source tiles. Read/written by the source.\n         * @type {number}\n         */\n        _this.loadingSourceTiles = 0;\n        /**\n         * @type {Object<number, ImageData>}\n         */\n        _this.hitDetectionImageData = {};\n        /**\n         * @private\n         * @type {!Object<string, ReplayState>}\n         */\n        _this.replayState_ = {};\n        /**\n         * @type {Array<import(\"./VectorTile.js\").default>}\n         */\n        _this.sourceTiles = [];\n        /**\n         * @type {Object<string, boolean>}\n         */\n        _this.errorTileKeys = {};\n        /**\n         * @type {number}\n         */\n        _this.wantedResolution;\n        /**\n         * @type {!function():Array<import(\"./VectorTile.js\").default>}\n         */\n        _this.getSourceTiles = getSourceTiles.bind(undefined, _this);\n        /**\n         * @type {import(\"./tilecoord.js\").TileCoord}\n         */\n        _this.wrappedTileCoord = urlTileCoord;\n        return _this;\n    }\n    /**\n     * @param {import(\"./layer/Layer.js\").default} layer Layer.\n     * @return {CanvasRenderingContext2D} The rendering context.\n     */\n    VectorRenderTile.prototype.getContext = function (layer) {\n        var key = getUid(layer);\n        if (!(key in this.context_)) {\n            this.context_[key] = createCanvasContext2D(1, 1, canvasPool);\n        }\n        return this.context_[key];\n    };\n    /**\n     * @param {import(\"./layer/Layer.js\").default} layer Layer.\n     * @return {boolean} Tile has a rendering context for the given layer.\n     */\n    VectorRenderTile.prototype.hasContext = function (layer) {\n        return getUid(layer) in this.context_;\n    };\n    /**\n     * Get the Canvas for this tile.\n     * @param {import(\"./layer/Layer.js\").default} layer Layer.\n     * @return {HTMLCanvasElement} Canvas.\n     */\n    VectorRenderTile.prototype.getImage = function (layer) {\n        return this.hasContext(layer) ? this.getContext(layer).canvas : null;\n    };\n    /**\n     * @param {import(\"./layer/Layer.js\").default} layer Layer.\n     * @return {ReplayState} The replay state.\n     */\n    VectorRenderTile.prototype.getReplayState = function (layer) {\n        var key = getUid(layer);\n        if (!(key in this.replayState_)) {\n            this.replayState_[key] = {\n                dirty: false,\n                renderedRenderOrder: null,\n                renderedResolution: NaN,\n                renderedRevision: -1,\n                renderedTileResolution: NaN,\n                renderedTileRevision: -1,\n                renderedTileZ: -1,\n            };\n        }\n        return this.replayState_[key];\n    };\n    /**\n     * Load the tile.\n     */\n    VectorRenderTile.prototype.load = function () {\n        this.getSourceTiles();\n    };\n    /**\n     * Remove from the cache due to expiry\n     */\n    VectorRenderTile.prototype.release = function () {\n        for (var key in this.context_) {\n            canvasPool.push(this.context_[key].canvas);\n            delete this.context_[key];\n        }\n        _super.prototype.release.call(this);\n    };\n    return VectorRenderTile;\n}(Tile));\nexport default VectorRenderTile;\n//# sourceMappingURL=VectorRenderTile.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/VectorTile\n */\nimport Tile from './Tile.js';\nimport TileState from './TileState.js';\nvar VectorTile = /** @class */ (function (_super) {\n    __extends(VectorTile, _super);\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"./TileState.js\").default} state State.\n     * @param {string} src Data source url.\n     * @param {import(\"./format/Feature.js\").default} format Feature format.\n     * @param {import(\"./Tile.js\").LoadFunction} tileLoadFunction Tile load function.\n     * @param {import(\"./Tile.js\").Options} [opt_options] Tile options.\n     */\n    function VectorTile(tileCoord, state, src, format, tileLoadFunction, opt_options) {\n        var _this = _super.call(this, tileCoord, state, opt_options) || this;\n        /**\n         * Extent of this tile; set by the source.\n         * @type {import(\"./extent.js\").Extent}\n         */\n        _this.extent = null;\n        /**\n         * @private\n         * @type {import(\"./format/Feature.js\").default}\n         */\n        _this.format_ = format;\n        /**\n         * @private\n         * @type {Array<import(\"./Feature.js\").default>}\n         */\n        _this.features_ = null;\n        /**\n         * @private\n         * @type {import(\"./featureloader.js\").FeatureLoader}\n         */\n        _this.loader_;\n        /**\n         * Feature projection of this tile; set by the source.\n         * @type {import(\"./proj/Projection.js\").default}\n         */\n        _this.projection = null;\n        /**\n         * Resolution of this tile; set by the source.\n         * @type {number}\n         */\n        _this.resolution;\n        /**\n         * @private\n         * @type {import(\"./Tile.js\").LoadFunction}\n         */\n        _this.tileLoadFunction_ = tileLoadFunction;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.url_ = src;\n        _this.key = src;\n        return _this;\n    }\n    /**\n     * Get the feature format assigned for reading this tile's features.\n     * @return {import(\"./format/Feature.js\").default} Feature format.\n     * @api\n     */\n    VectorTile.prototype.getFormat = function () {\n        return this.format_;\n    };\n    /**\n     * Get the features for this tile. Geometries will be in the view projection.\n     * @return {Array<import(\"./Feature.js\").FeatureLike>} Features.\n     * @api\n     */\n    VectorTile.prototype.getFeatures = function () {\n        return this.features_;\n    };\n    /**\n     * Load not yet loaded URI.\n     */\n    VectorTile.prototype.load = function () {\n        if (this.state == TileState.IDLE) {\n            this.setState(TileState.LOADING);\n            this.tileLoadFunction_(this, this.url_);\n            if (this.loader_) {\n                this.loader_(this.extent, this.resolution, this.projection);\n            }\n        }\n    };\n    /**\n     * Handler for successful tile load.\n     * @param {Array<import(\"./Feature.js\").default>} features The loaded features.\n     * @param {import(\"./proj/Projection.js\").default} dataProjection Data projection.\n     */\n    VectorTile.prototype.onLoad = function (features, dataProjection) {\n        this.setFeatures(features);\n    };\n    /**\n     * Handler for tile load errors.\n     */\n    VectorTile.prototype.onError = function () {\n        this.setState(TileState.ERROR);\n    };\n    /**\n     * Function for use in an {@link module:ol/source/VectorTile~VectorTile}'s `tileLoadFunction`.\n     * Sets the features for the tile.\n     * @param {Array<import(\"./Feature.js\").default>} features Features.\n     * @api\n     */\n    VectorTile.prototype.setFeatures = function (features) {\n        this.features_ = features;\n        this.setState(TileState.LOADED);\n    };\n    /**\n     * Set the feature loader for reading this tile's features.\n     * @param {import(\"./featureloader.js\").FeatureLoader} loader Feature loader.\n     * @api\n     */\n    VectorTile.prototype.setLoader = function (loader) {\n        this.loader_ = loader;\n    };\n    return VectorTile;\n}(Tile));\nexport default VectorTile;\n//# sourceMappingURL=VectorTile.js.map","'use strict';\n\nObject.defineProperty(exports, '__esModule', { value: true });\n\n/* eslint-disable @typescript-eslint/strict-boolean-expressions */\nfunction parse(string, encoding, opts) {\n  var _opts$out;\n\n  if (opts === void 0) {\n    opts = {};\n  }\n\n  // Build the character lookup table:\n  if (!encoding.codes) {\n    encoding.codes = {};\n\n    for (var i = 0; i < encoding.chars.length; ++i) {\n      encoding.codes[encoding.chars[i]] = i;\n    }\n  } // The string must have a whole number of bytes:\n\n\n  if (!opts.loose && string.length * encoding.bits & 7) {\n    throw new SyntaxError('Invalid padding');\n  } // Count the padding bytes:\n\n\n  var end = string.length;\n\n  while (string[end - 1] === '=') {\n    --end; // If we get a whole number of bytes, there is too much padding:\n\n    if (!opts.loose && !((string.length - end) * encoding.bits & 7)) {\n      throw new SyntaxError('Invalid padding');\n    }\n  } // Allocate the output:\n\n\n  var out = new ((_opts$out = opts.out) != null ? _opts$out : Uint8Array)(end * encoding.bits / 8 | 0); // Parse the data:\n\n  var bits = 0; // Number of bits currently in the buffer\n\n  var buffer = 0; // Bits waiting to be written out, MSB first\n\n  var written = 0; // Next byte to write\n\n  for (var _i = 0; _i < end; ++_i) {\n    // Read one character from the string:\n    var value = encoding.codes[string[_i]];\n\n    if (value === undefined) {\n      throw new SyntaxError('Invalid character ' + string[_i]);\n    } // Append the bits to the buffer:\n\n\n    buffer = buffer << encoding.bits | value;\n    bits += encoding.bits; // Write out some bits if the buffer has a byte's worth:\n\n    if (bits >= 8) {\n      bits -= 8;\n      out[written++] = 0xff & buffer >> bits;\n    }\n  } // Verify that we have received just enough bits:\n\n\n  if (bits >= encoding.bits || 0xff & buffer << 8 - bits) {\n    throw new SyntaxError('Unexpected end of data');\n  }\n\n  return out;\n}\nfunction stringify(data, encoding, opts) {\n  if (opts === void 0) {\n    opts = {};\n  }\n\n  var _opts = opts,\n      _opts$pad = _opts.pad,\n      pad = _opts$pad === void 0 ? true : _opts$pad;\n  var mask = (1 << encoding.bits) - 1;\n  var out = '';\n  var bits = 0; // Number of bits currently in the buffer\n\n  var buffer = 0; // Bits waiting to be written out, MSB first\n\n  for (var i = 0; i < data.length; ++i) {\n    // Slurp data into the buffer:\n    buffer = buffer << 8 | 0xff & data[i];\n    bits += 8; // Write out as much as we can:\n\n    while (bits > encoding.bits) {\n      bits -= encoding.bits;\n      out += encoding.chars[mask & buffer >> bits];\n    }\n  } // Partial character:\n\n\n  if (bits) {\n    out += encoding.chars[mask & buffer << encoding.bits - bits];\n  } // Add padding characters until we hit a byte boundary:\n\n\n  if (pad) {\n    while (out.length * encoding.bits & 7) {\n      out += '=';\n    }\n  }\n\n  return out;\n}\n\n/* eslint-disable @typescript-eslint/strict-boolean-expressions */\nvar base16Encoding = {\n  chars: '0123456789ABCDEF',\n  bits: 4\n};\nvar base32Encoding = {\n  chars: 'ABCDEFGHIJKLMNOPQRSTUVWXYZ234567',\n  bits: 5\n};\nvar base32HexEncoding = {\n  chars: '0123456789ABCDEFGHIJKLMNOPQRSTUV',\n  bits: 5\n};\nvar base64Encoding = {\n  chars: 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/',\n  bits: 6\n};\nvar base64UrlEncoding = {\n  chars: 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_',\n  bits: 6\n};\nvar base16 = {\n  parse: function parse$1(string, opts) {\n    return parse(string.toUpperCase(), base16Encoding, opts);\n  },\n  stringify: function stringify$1(data, opts) {\n    return stringify(data, base16Encoding, opts);\n  }\n};\nvar base32 = {\n  parse: function parse$1(string, opts) {\n    if (opts === void 0) {\n      opts = {};\n    }\n\n    return parse(opts.loose ? string.toUpperCase().replace(/0/g, 'O').replace(/1/g, 'L').replace(/8/g, 'B') : string, base32Encoding, opts);\n  },\n  stringify: function stringify$1(data, opts) {\n    return stringify(data, base32Encoding, opts);\n  }\n};\nvar base32hex = {\n  parse: function parse$1(string, opts) {\n    return parse(string, base32HexEncoding, opts);\n  },\n  stringify: function stringify$1(data, opts) {\n    return stringify(data, base32HexEncoding, opts);\n  }\n};\nvar base64 = {\n  parse: function parse$1(string, opts) {\n    return parse(string, base64Encoding, opts);\n  },\n  stringify: function stringify$1(data, opts) {\n    return stringify(data, base64Encoding, opts);\n  }\n};\nvar base64url = {\n  parse: function parse$1(string, opts) {\n    return parse(string, base64UrlEncoding, opts);\n  },\n  stringify: function stringify$1(data, opts) {\n    return stringify(data, base64UrlEncoding, opts);\n  }\n};\nvar codec = {\n  parse: parse,\n  stringify: stringify\n};\n\nexports.base16 = base16;\nexports.base32 = base32;\nexports.base32hex = base32hex;\nexports.base64 = base64;\nexports.base64url = base64url;\nexports.codec = codec;\n","// Generated by rollup-plugin-mjs-entry\n\nimport cjs from './index.js';\n\nexport const base16 = cjs.base16;\nexport const base32 = cjs.base32;\nexport const base32hex = cjs.base32hex;\nexport const base64 = cjs.base64;\nexport const base64url = cjs.base64url;\nexport const codec = cjs.codec;\nexport default cjs;\n","import { base64 } from 'rfc4648';\n\n/* eslint-disable */\nvar data = \"BVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBVEFUQVRBW4FbgVuBW4FbgVuBW4FbgVtBW0FbQVtBW0FbQVtBW0FbQVsBWwFbAVsBWwFbAVsBWwFbAVrBWsFawVrBWsFawVrBWsFagVqBWoFagVqBWoFagVqBWkFaQVpBWkFaQVpBWkFaQVpBWgFaAVoBWgFaAVoBWgFaAVnBWcFZwVnBWcFZwVnBWYFZgVmBWYFZgVmBWYFZQVlBWUFZQVlBWUFZQVlBWQFZAVkBWQFZAVkBWQFZAVjBWMFYwVjBWMFYwViBWIFYgViBWIFYgViBWIFYQVhBWEFYQVhBWEFYQVhBWAFYAVgBWAFYAVgBWAFXwVfBV8FXwVfBV8FXwVeBV4FXgVeBV4FXgVeBV0FXQVdBV0FXQVdBV0FXQVcBVwFXAVcBVwFXAVcBVwFWwVbBVsFWwVbBVsFWwVaBVoFWgVaBVoFWgVaBVoFWQVZBVkFWQVZBVkFWQVZBVgFWAVYBVgFWAVYBVgFWAVXBVcFVwVXBVcFVwVXBVYFVgVWBVYFVgVWBVYFVgVWBVUFVQVVBVUFVQVVBVUFVQVVBVQFVAVUBVQFVAVUBVQFVAVUBVMFUwVTBVMFUwVTBVMFUwVTBVIFUgVSBVIFUgVSBVIFUgVRBVEFUQVRBVEFUQVRBVEFUQVRBVAFUAVQBVAFUAVQBVAFUAVQBVAFUAVPBU8FTwVPBU8FTwVPBU8FTwVPBU8FTgVOBU4FTgVOBU4FTgVOBU4FTgVNBU0FTQVNBU0FTQVNBU0FTQVNBU0FTAVMBUwFTAVMBUwFTAVMBUwFTAVMBUwFTAVMBUsFSwVLBUsFSwVLBUsFSwVLBUsFSwVLBUsFSgVKBUoFSgVKBUoFSgVKBUoFSgVKBUoFSQVJBUkFSQVJBUkFSQVJBUkFSQVJBUkFSQVJBUkFSAVIBUgFSAVIBUgFSAVIBUgFSAVIBUgFSAVIBUgFSAVIBUcFRwVHBUcFRwVHBUcFRwVHBUcFRwVHBUcFRwVHBUcFRwVGBUYFRgVGBUYFRgVGBUYFRgVGBUYFRgVGBUYFRgVGBUUFRQVFBUUFRQVFBUUFRQVFBUUFRQVFBUUFRQVFBUUFRQVFBUUFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwU/BT8FPwVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQAVABUAFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQQVBBUEFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUIFQgVCBUMFQwVDBUMFQwVDBUMFQwVDBUMFQwVDBUMFRAVEBUQFRAVEBUQFRAVEBUQFRAVEBUQFRAVFBUUFRQVFBUUFRQVFBUUFRQVFBUYFRgVGBUYFRgVGBUYFRgVGBUcFRwVHBUcFRwVHBUcFRwVHBUgFSAVIBUgFSAVIBUgFSAVIBUgFSQVJBUkFSQVJBUkFSQVJBUkFSgVKBUoFSgVKBUoFSgVLBUsFSwVLBUsFSwVLBUsFTAVMBUwFTAVMBUwFTAVMBU0FTQVNBU0FTQVNBU0FTQVOBU4FTgVOBU4FTgVPBU8FTwVPBU8FTwVPBVAFUAVQBVAFUAVQBVAFUAVRBVEFUQVRBVEFUQVRBVIFUgVSBVIFUgVSBVMFUwVTBVMFUwVTBVMFVAVUBVQFVAVUBVQFVAVVBVUFVQVVBVUFVQVVBVYFVgVWBVYFVgVWBVYFVwVXBVcFVwVXBVcFWAVYBVgFWAVYBVgFWAVZBVkFWQVZBVkFWQVZBVoFWgVaBVoFWgVaBVoFWwVbBVsFWwVbBVsFWwVcBVwFXAVcBVwFXAVcBV0FXQVdBV0FXQVdBV0FXgVeBV4FXgVeBV4FXgVfBV8FXwVfBV8FXwVfBWAFYAVgBWAFYAVgBWAFYAVhBWEFYQVhBWEFYQVhBWEFYgViBWIFYgViBWIFYgViBWMFYwVjBWMFYwVjBWMFZAVkBWQFZAVkBWQFZAVkBWUFZQVlBWUFZQVlBWUFZQVlBWYFZgVmBWYFZgVmBWYFZgVmBWcFZwVnBWcFZwVnBWcFZwVnBWgFaAVoBWgFaAVoBWgFaAVoBWkFaQVpBWkFaQVpBWkFaQVpBWkFaQVqBWoFagVqBWoFagVqBWoFagVqBWoFawVrBWsFawVrBWsFawVrBWsFawVsBWwFbAVsBWwFbAVsBWwFbAVsBWwFbAVtBW0FbQVtBW0FbQVtBW0FbQVtBW0FbQVtBW4FbgVuBW4FbgVuBW4FbgVuBW4FbgVuBW4FbgVuBW8FbwVvBW8FbwVvBW8FbwVvBW8FbwVvBW8FbwVvBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXAFcAVwBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVxBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV2BXYFdgV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXUFdQV1BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAV0BXQFdAVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVzBXMFcwVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVyBXIFcgVxBXEFcQVxBXEFcQVxBXEFcQVxBXEFcQVwBXAFcAVwBXAFcAVwBXAFcAVwBW8FbwVvBW8FbwVvBW8FbwVvBW8FbgVuBaIFogWiBaIFoQWhBaEFoQWhBaAFoAWgBaAFnwWfBZ8FnwWeBZ4FngWeBZ0FnQWdBZ0FnAWcBZwFnAWbBZsFmwWbBZoFmgWaBZoFmQWZBZkFmAWYBZgFlwWXBZcFlwWWBZYFlgWWBZUFlQWVBZQFlAWUBZMFkwWTBZMFkgWSBZIFkQWRBZEFkAWQBZAFjwWPBY8FjgWOBY4FjgWNBY0FjAWMBYwFjAWLBYsFiwWKBYoFigWJBYkFiQWIBYgFiAWHBYcFhwWGBYYFhgWFBYUFhQWFBYQFhAWDBYMFgwWDBYIFggWCBYEFgQWBBYAFgAWABX8FfwV/BX4FfgV+BX4FfQV9BX0FfAV8BXwFewV7BXsFegV6BXoFeQV5BXkFeQV4BXgFeAV3BXcFdwV2BXYFdgV2BXUFdQV1BXQFdAV0BXMFcwVzBXMFcgVyBXIFcgVxBXEFcQVwBXAFcAVwBW8FbwVvBW4FbgVuBW4FbQVtBW0FbQVsBWwFbAVsBWsFawVrBWsFagVqBWoFagVpBWkFaQVpBWgFaAVoBWgFZwVnBWcFZwVmBWYFZgVmBWUFZQVlBWUFZQVkBWQFZAVkBWQFYwVjBWMFYwViBWIFYgViBWEFYQVhBWEFYQVhBWAFYAVgBWAFYAVfBV8FXwVfBV4FXgVeBV4FXgVdBV0FXQVdBV0FXQVcBVwFXAVcBVwFWwVbBVsFWwVbBVoFWgVaBVoFWgVaBVkFWQVZBVkFWQVZBVgFWAVYBVgFWAVYBVcFVwVXBVcFVwVWBVYFVgVWBVYFVgVVBVUFVQVVBVUFVQVVBVQFVAVUBVQFVAVUBVMFUwVTBVMFUwVTBVMFUgVSBVIFUgVSBVIFUQVRBVEFUQVRBVEFUQVQBVAFUAVQBVAFUAVQBU8FTwVPBU8FTwVPBU8FTgVOBU4FTgVOBU4FTgVNBU0FTQVNBU0FTQVNBUwFTAVMBUwFTAVMBUwFTAVLBUsFSwVLBUsFSwVLBUoFSgVKBUoFSgVKBUoFSQVJBUkFSQVJBUkFSQVJBUgFSAVIBUgFSAVIBUgFSAVIBUcFRwVHBUcFRwVHBUcFRwVGBUYFRgVGBUYFRgVGBUUFRQVFBUUFRQVFBUUFRQVEBUQFRAVEBUQFRAVEBUQFRAVDBUMFQwVDBUMFQwVDBUMFQwVCBUIFQgVCBUIFQgVCBUEFQQVBBUEFQQVBBUEFQQVBBUAFQAVABUAFQAVABUAFQAVABT8FPwU/BT8FPwU/BT8FPwU/BT4FPgU+BT4FPgU+BT4FPgU9BT0FPQU9BT0FPQU9BT0FPAU8BTwFPAU8BTwFPAU8BTwFOwU7BTsFOwU7BTsFOwU7BTsFOgU6BToFOgU6BToFOgU6BTkFOQU5BTkFOQU5BTkFOQU4BTgFOAU4BTgFOAU4BTgFNwU3BTcFNwU3BTcFNwU3BTcFNwU2BTYFNgU2BTYFNgU2BTYFNQU1BTUFNQU1BTUFNQU1BTQFNAU0BTQFNAU0BTQFNAU0BTMFMwUzBTMFMwUzBTMFMwUzBTMFMwUyBTIFMgUyBTIFMgUyBTIFMgUyBTEFMQUxBTEFMQUxBTEFMQUxBTEFMQUwBTAFMAUwBTAFMAUwBTAFMAUwBTAFMAUwBTAFLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FLwUvBS8FMAUwBTAFMAUwBTAFMAUwBTAFMAUwBTAFMQUxBTEFMQUxBTEFMQUyBTIFMgUyBTIFMgUyBTIFMwUzBTMFMwUzBTMFMwU0BTQFNAU0BTQFNAU1BTUFNQU1BTYFNgU2BTYFNgU3BTcFNwU3BTcFOAU4BTgFOAU4BTkFOQU5BTkFOgU6BToFOgU7BTsFOwU7BTwFPAU8BTwFPQU9BT0FPgU+BT4FPwU/BT8FPwVABUAFQAVABUEFQQVBBUIFQgVCBUMFQwVDBUQFRAVEBUUFRQVFBUYFRgVGBUcFRwVHBUgFSAVIBUkFSQVJBUoFSgVKBUsFSwVMBUwFTAVNBU0FTQVOBU4FTgVPBU8FUAVQBVAFUQVRBVEFUgVSBVMFUwVTBVQFVAVUBVUFVQVWBVYFVgVXBVcFWAVYBVgFWQVZBVkFWgVaBVsFWwVcBVwFXAVdBV0FXQVeBV4FXwVfBV8FYAVgBWEFYQVhBWIFYgVjBWMFYwVkBWQFZQVlBWUFZgVmBWcFZwVnBWgFaAVpBWkFaQVqBWoFagVrBWsFbAVsBW0FbQVtBW4FbgVuBW8FbwVvBXAFcAVxBXEFcQVyBXIFcwVzBXMFdAV0BXQFdQV1BXYFdgV2BXcFdwV3BXgFeAV4BXkFeQV6BXoFegV6BXsFewV7BXwFfAV9BX0FfQV+BX4FfgV/BX8FfwWABYAFgAWBBYEFgQWCBYIFggWCBYMFgwWDBYQFhAWEBYUFhQWFBYUFhgWGBYYFhwWHBYcFhwWIBYgFiAWIBYkFiQWJBYoFigWKBYoFiwWLBYsFiwWMBYwFjAWMBY0FjQWNBY0FjgWOBY4FjgWPBY8FjwWPBY8FkAWQBZAFkAWQBZEFkQWRBZEFkgWSBZIFkgWSBZIFkwWTBZMFkwWTBZQFlAWUBZQFlAWUBZUFlQWVBZUFlQWVBZYFlgWWBZYFlgWWBZcFlwWXBZcFlwWXBZcFmAWYBZgFmAWYBZgFmAWYBZkFmQWZBZkFmQWZBZkFmgWaBZoFmgWaBZoFmgWaBZoFmwWbBZsFmwWbBZsFmwWbBZsFmwWcBZwFnAWcBZwFnAWcBZwFnAWcBZwFnQWdBZ0FnQWdBZ0FnQWdBZ0FnQWdBZ4FngWeBZ4FngWeBZ4FngWeBZ4FngWeBZ4FngWfBZ8FnwWfBZ8FnwWfBZ8FnwWfBZ8FnwWfBZ8FnwWfBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoAWgBaAFoQWhBaEFoQWhBaEFoQWhBaEFoQWhBaEFoQWhBaEFoQWhBaEFoQWiBaIFogWiBaIFogWiBaIFogWiBaIFogWiBaIFogWiBaIFowWjBaMFowWjBaMFowWjBaMFowWjBaMFowWjBaMFowWjBaMFpAWkBaQFpAWkBaQFpAWkBaQFpAWkBaQFpAWkBaQFpAWkBaQFpAWlBaUFpQWlBaUFpQWlBaUFpQWlBaUFpQWlBaUFpQWlBaYFpgWmBaYFpgWmBaYFpgWmBaYFpgWmBaYFpwWnBacFpwWnBacFpwWnBacFpwWnBacFpwWnBacFqAWoBagFqAWoBagFqAWoBagFqAWoBagFqAWoBagFqAWpBakFqQWpBakFqQWpBakFqQWpBakFqQWpBakFqQWqBaoFqgWqBaoFqgWqBaoFqgWqBaoFqgWqBaoFqgWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFrAWsBawFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqwWrBasFqgWqBaoFqgWqBaoFqgWqBaoFqgWpBakFqQWpBakFqQWpBakFqQWoBagFqAWoBagFqAWoBagFpwWnBacFpwWnBacFpwWmBaYFpgWmBaYFpQWlBaUFpQWlBaUFpAWkBaQFpAWkBaQFowWjBaMFowWjBdoF2gXZBdkF2QXZBdkF2AXYBdgF1wXXBdcF1wXWBdYF1gXWBdUF1QXVBdQF1AXUBdMF0wXTBdIF0gXSBdEF0QXRBdAF0AXQBc8FzwXPBc4FzgXOBc0FzQXNBcwFzAXLBcsFywXKBcoFyQXJBckFyAXIBccFxwXHBcYFxgXFBcUFxQXEBcQFwwXDBcIFwgXCBcEFwQXABcAFwAW/Bb8FvgW+Bb0FvQW9BbwFvAW7BbsFugW6BbkFuQW5BbgFuAW3BbcFtgW2BbUFtQW1BbQFtAWzBbMFsgWyBbEFsQWxBbAFsAWvBa8FrgWuBa0FrQWtBawFrAWrBasFqwWqBaoFqQWpBagFqAWoBacFpwWmBaYFpQWlBaQFpAWkBaMFowWiBaIFogWhBaEFoAWgBaAFnwWfBZ4FngWdBZ0FnQWcBZwFmwWbBZsFmgWaBZkFmQWZBZgFmAWXBZcFlwWWBZYFlgWVBZUFlAWUBZQFkwWTBZIFkgWSBZEFkQWQBZAFkAWPBY8FjwWOBY4FjgWNBY0FjAWMBYwFiwWLBYsFigWKBYkFiQWJBYgFiAWHBYcFhwWGBYYFhgWFBYUFhQWEBYQFgwWDBYMFggWCBYIFgQWBBYAFgAWABX8FfwV+BX4FfgV9BX0FfQV8BXwFewV7BXsFegV6BXkFeQV5BXgFeAV3BXcFdwV2BXYFdgV1BXUFdAV0BXMFcwVzBXIFcgVyBXEFcQVwBXAFbwVvBW8FbgVuBW4FbQVtBWwFbAVrBWsFawVqBWoFaQVpBWkFaAVoBWcFZwVmBWYFZgVlBWUFZAVkBWMFYwVjBWIFYgVhBWEFYQVgBWAFXwVfBV4FXgVdBV0FXQVcBVwFWwVbBVoFWgVaBVkFWQVYBVgFWAVXBVcFVgVWBVUFVQVVBVQFVAVTBVMFUgVSBVEFUQVRBVAFUAVPBU8FTwVOBU4FTQVNBUwFTAVMBUsFSwVLBUoFSgVJBUkFSAVIBUgFRwVHBUcFRgVGBUUFRQVEBUQFRAVDBUMFQwVCBUIFQQVBBUEFQAVABUAFPwU/BT8FPgU+BT0FPQU9BTwFPAU8BTwFOwU7BTsFOgU6BToFOQU5BTkFOAU4BTgFNwU3BTcFNwU2BTYFNgU1BTUFNQU1BTQFNAU0BTQFMwUzBTMFMwUyBTIFMgUyBTIFMQUxBTEFMQUwBTAFMAUwBTAFMAUvBS8FLwUvBS8FLwUvBS4FLgUuBS4FLgUuBS4FLQUtBS0FLQUtBS0FLQUtBSwFLAUsBSwFLAUsBSwFLAUsBSwFLAUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUqBSoFKgUpBSkFKQUpBSkFKQUpBSkFKQUpBSkFKQUpBSkFKQUoBSgFKAUoBSgFKAUoBSgFKAUoBSgFJwUnBScFJwUnBScFJwUnBScFJgUmBSYFJgUmBSYFJgUmBSUFJQUlBSUFJQUlBSQFJAUkBSQFJAUkBSMFIwUjBSMFIwUjBSMFIgUiBSIFIgUiBSEFIQUhBSEFIQUhBSAFIAUgBSAFIAUfBR8FHwUfBR8FHwUeBR4FHgUeBR4FHgUdBR0FHQUdBR0FHQUdBRwFHAUcBRwFHAUcBRsFGwUbBRsFGwUbBRsFGwUaBRoFGgUaBRoFGgUaBRoFGgUaBRoFGgUaBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUZBRkFGQUaBRoFGgUaBRoFGgUaBRoFGgUaBRoFGgUbBRsFGwUbBRsFGwUbBRwFHAUcBRwFHAUcBR0FHQUdBR0FHQUeBR4FHgUeBR4FHwUfBR8FHwUgBSAFIAUgBSEFIQUhBSEFIgUiBSIFIwUjBSMFIwUkBSQFJAUlBSUFJQUmBSYFJgUnBScFJwUnBSgFKAUpBSkFKQUqBSoFKgUrBSsFKwUsBSwFLQUtBS0FLgUuBS8FLwUvBTAFMAUxBTEFMgUyBTIFMwUzBTQFNAU0BTUFNQU2BTYFNwU3BTgFOAU5BTkFOgU6BTsFOwU7BTwFPAU9BT0FPgU+BT8FPwVABUAFQQVBBUIFQgVDBUMFRAVEBUUFRQVGBUcFRwVIBUgFSQVJBUoFSgVLBUwFTAVNBU0FTgVOBU8FTwVQBVEFUQVSBVIFUwVTBVQFVQVVBVYFVgVXBVgFWAVZBVkFWgVaBVsFXAVcBV0FXgVeBV8FXwVgBWEFYQViBWIFYwVkBWQFZQVlBWYFZwVnBWgFaQVpBWoFagVrBWwFbAVtBW4FbgVvBW8FcAVxBXEFcgVzBXMFdAV1BXUFdgV2BXcFeAV4BXkFegV6BXsFewV8BX0FfQV+BX4FfwWABYAFgQWCBYIFgwWDBYQFhQWFBYYFhgWHBYcFiAWJBYkFigWKBYsFjAWMBY0FjQWOBY8FjwWQBZAFkQWRBZIFkwWTBZQFlAWVBZUFlgWWBZcFlwWYBZkFmQWaBZoFmwWbBZwFnAWdBZ0FngWfBZ8FoAWgBaAFoQWiBaIFowWjBaQFpAWlBaUFpgWmBacFpwWoBagFqAWpBakFqgWrBasFqwWsBawFrQWtBa4FrgWvBa8FsAWwBbAFsQWxBbIFsgWzBbMFtAW0BbQFtQW1BbYFtgW3BbcFuAW4BbgFuQW5BboFugW6BbsFuwW8BbwFvQW9Bb0FvgW+Bb4FvwW/BcAFwAXABcEFwQXCBcIFwgXDBcMFwwXEBcQFxQXFBcUFxgXGBcYFxwXHBccFyAXIBcgFyQXJBckFygXKBcoFywXLBcsFzAXMBcwFzQXNBc0FzQXOBc4FzgXOBc8FzwXPBdAF0AXQBdAF0QXRBdEF0gXSBdIF0gXSBdMF0wXTBdMF1AXUBdQF1AXVBdUF1QXVBdUF1gXWBdYF1gXWBdYF1wXXBdcF1wXXBdgF2AXYBdgF2AXYBdkF2QXZBdkF2QXZBdkF2gXaBdoF2gXaBdoF2gXaBdoF2gXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBdwF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2gXaBdoF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF2wXbBdsF3AXcBdwF3AXcBdwF3AXcBdwF3AXcBd0F3QXdBd0F3QXdBd0F3QXdBd0F3QXeBd4F3gXeBd4F3gXeBd4F3gXeBd4F3gXeBd8F3wXfBd8F3wXfBd8F3wXfBd8F3wXfBd8F3wXfBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXgBd8F3wXfBd8F3wXfBd8F3wXfBd8F3wXfBd4F3gXeBd4F3gXeBd4F3gXdBd0F3QXdBd0F3QXdBdwF3AXcBdwF3AXbBdsF2wXbBdoF2gXaBgkGCQYJBgkGCQYIBggGCAYIBggGCAYHBgcGBwYHBgcGBgYGBgYGBgYFBgUGBQYFBgQGBAYEBgQGAwYDBgMGAwYCBgIGAgYBBgEGAQYABgAGAAYABf8F/wX/Bf4F/gX+Bf0F/QX9BfwF/AX8BfsF+wX7BfoF+gX5BfkF+QX4BfgF9wX3BfcF9gX2BfYF9QX1BfQF9AX0BfMF8wXyBfIF8gXxBfEF8AXwBe8F7wXvBe4F7gXtBe0F7AXsBesF6wXqBeoF6gXpBekF6AXoBecF5wXmBeYF5QXlBeQF5AXjBeMF4gXiBeIF4QXhBeAF4AXfBd8F3gXeBd0F3QXcBdwF2wXbBdoF2gXZBdkF2AXYBdcF1wXWBdYF1QXVBdQF1AXTBdMF0gXSBdEF0QXQBdAFzwXPBc4FzgXNBc0FzAXMBcsFywXKBcoFyQXJBcgFyAXHBccFxgXGBcUFxQXEBcQFwwXDBcIFwgXBBcEFwAXABb8FvwW+Bb4FvQW9BbwFvAW7BbsFugW6BbkFuQW4BbgFtwW3BbYFtQW1BbQFtAWzBbMFsgWyBbEFsQWwBbAFrwWvBa4FrQWtBawFrAWrBasFqgWpBakFqAWoBacFpgWmBaUFpQWkBaMFowWiBaEFoQWgBaAFnwWeBZ4FnQWcBZwFmwWaBZoFmQWYBZgFlwWWBZYFlQWUBZMFkwWSBZEFkQWQBY8FjwWOBY0FjAWLBYsFigWJBYgFiAWHBYYFhQWFBYQFgwWCBYIFgQWABX8FfgV9BX0FfAV7BXoFeQV5BXgFdwV2BXUFdAVzBXMFcgVxBXAFbwVuBW4FbQVsBWsFagVpBWgFaAVnBWYFZQVkBWMFYgVhBWEFYAVfBV4FXQVcBVsFWgVZBVkFWAVXBVYFVQVUBVMFUgVRBVAFUAVPBU4FTQVMBUsFSgVJBUgFSAVHBUYFRQVEBUMFQgVBBUAFQAU/BT4FPQU8BTsFOgU5BTgFNwU3BTYFNQU0BTMFMgUxBTAFLwUvBS4FLQUsBSsFKgUqBSkFKAUnBSYFJQUkBSQFIwUiBSEFIAUfBR8FHgUdBRwFGwUbBRoFGQUZBRgFFwUWBRYFFQUUBRMFEwUSBREFEQUQBQ8FDwUOBQ4FDQUMBQwFCwULBQoFCgUJBQkFCAUIBQcFBwUGBQYFBQUFBQUFBAUEBQQFAwUDBQMFAgUCBQIFAQUBBQEFAQUBBQEFAQUABQAFAAUABQAFAAUABQAFAAUABQAFAAUABQEFAQUBBQEFAQUBBQIFAgUCBQIFAwUDBQMFBAUEBQQFBQUFBQUFBgUGBQcFBwUIBQgFCQUJBQoFCgULBQsFDAUMBQ0FDgUOBQ8FDwUQBREFEQUSBRIFEwUUBRQFFQUWBRYFFwUYBRgFGQUaBRoFGwUcBRwFHQUeBR4FHwUfBSAFIQUhBSIFIwUjBSQFJAUlBSYFJgUnBScFKAUoBSkFKQUqBSoFKwUrBSsFLAUsBS0FLQUtBS4FLgUuBS8FLwUvBS8FMAUwBTAFMAUwBTAFMQUxBTEFMQUxBTEFMQUxBTEFMQUxBTEFMQUxBTEFMQUxBTAFMAUwBTAFMAUvBS8FLwUvBS8FLgUuBS4FLQUtBS0FLAUsBSwFKwUrBSoFKgUqBSkFKQUoBSgFJwUnBSYFJgUmBSUFJAUkBSQFIwUjBSIFIgUhBSEFIAUfBR8FHgUeBR4FHQUdBRwFGwUbBRoFGgUaBRkFGQUYBRgFFwUXBRYFFgUVBRUFFAUUBRQFEwUTBRIFEgUSBREFEQUQBRAFEAUPBQ8FDwUOBQ4FDgUNBQ0FDQUNBQwFDAUMBQsFCwULBQsFCgUKBQoFCgUKBQoFCQUJBQkFCQUJBQkFCAUIBQgFCAUIBQgFCAUIBQgFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQcFBwUHBQgFCAUIBQgFCAUIBQgFCAUIBQgFCAUIBQgFCAUIBQgFCQUJBQkFCQUJBQkFCQUJBQkFCQUKBQoFCgUKBQoFCgUKBQoFCgULBQsFCwULBQsFCwULBQwFDAUMBQwFDAUNBQ0FDQUNBQ4FDgUOBQ4FDgUPBQ8FDwUPBRAFEAUQBREFEQURBRIFEgUSBRIFEwUTBRMFFAUUBRUFFQUVBRYFFgUXBRcFFwUYBRgFGQUZBRoFGgUbBRsFHAUcBR0FHQUeBR4FHwUfBSAFIQUhBSIFIgUjBSMFJAUlBSUFJgUnBScFKAUoBSkFKgUqBSsFLAUsBS0FLgUvBS8FMAUxBTEFMgUzBTMFNAU1BTYFNwU3BTgFOQU6BToFOwU8BT0FPQU+BT8FQAVABUEFQgVDBUQFRAVFBUYFRwVIBUkFSQVKBUsFTAVNBU0FTgVPBVAFUQVSBVMFUwVUBVUFVgVXBVgFWQVZBVoFWwVcBV0FXgVeBV8FYAVhBWIFYwVkBWUFZQVmBWcFaAVpBWoFawVsBW0FbQVuBW8FcAVxBXIFcwV0BXUFdgV2BXcFeAV5BXoFewV8BX0FfgV/BYAFgQWCBYMFhAWFBYYFhwWIBYgFigWLBYsFjAWOBY8FjwWQBZIFkwWUBZUFlgWXBZgFmQWaBZsFnAWdBZ4FnwWgBaEFogWjBaQFpQWnBagFqQWqBasFrAWtBa4FsAWxBbIFswW0BbUFtgW3BbkFugW7BbwFvQW+BcAFwQXCBcMFxAXFBcYFyAXJBcoFywXMBc0FzwXQBdEF0gXTBdUF1gXXBdgF2QXaBdsF3QXeBd8F4AXhBeIF4wXlBeYF5wXoBekF6gXrBewF7gXvBfAF8QXyBfMF9AX1BfYF9wX4BfoF+wX8Bf0F/gX/BgAGAQYCBgMGBAYFBgYGBwYIBgkGCQYKBgsGDAYNBg4GDwYQBhEGEgYSBhMGFAYVBhYGFwYXBhgGGQYaBhoGGwYcBh0GHQYeBh4GHwYgBiEGIQYiBiIGIwYkBiQGJQYlBiYGJgYnBicGKAYoBikGKQYpBioGKgYrBisGKwYsBiwGLAYtBi0GLQYtBi4GLgYuBi4GLgYvBi8GLwYvBi8GLwYvBi8GMAYwBjAGMAYwBjAGMAYwBjAGLwYvBi8GLwYvBi8GLwYvBi4GLgYuBi4GLgYtBi0GLQYtBiwGLAYsBisGKwYrBioGKgYqBikGKQYpBigGKAYnBicGJgYmBiYGJQYlBiQGJAYjBiMGIgYiBiEGIQYgBiAGHwYfBh4GHgYdBh0GHAYcBhsGGgYaBhkGGQYYBhgGFwYXBhYGFQYVBhQGFAYTBhMGEgYSBhEGEQYQBhAGDwYPBg4GDgYNBg0GDAYMBgwGCwYLBgoGCgYJBgkGCQYIBggGCAYHBgcGBgYGBgYGBQYFBgUGBQYEBgQGBAYEBgMGAwYDBgMGAgYCBgIGAgYCBgIGAQYBBgEGAQYBBgEGAQYBBgEGAAYABgAGAAYABgAGAAYABgAGAAYABgAGAAYABgEGAQYBBgEGAQYBBgEGAQYBBgEGAgYCBgIGAgYCBgIGAgYCBgMGAwYDBgMGAwYDBgQGBAYEBgQGBAYEBgUGBQYFBgUGBQYFBgYGBgYGBgYGBgYHBgcGBwYHBgcGBwYIBggGCAYIBggGCAYJBgkGCQYJBgkGCQYJBgkGCgYKBgoGCgYKBgoGCgYKBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYLBgsGCwYKBgoGCgYKBgoGCgYKBgoGCQYJBjgGOAY4BjgGOAY3BjcGNwY3BjcGNgY2BjYGNgY2BjYGNQY1BjUGNQY1BjQGNAY0BjQGNAYzBjMGMwYzBjMGMgYyBjIGMgYxBjEGMQYxBjEGMAYwBjAGMAYwBi8GLwYvBi8GLgYuBi4GLgYtBi0GLQYtBiwGLAYsBisGKwYrBisGKgYqBioGKQYpBikGKAYoBigGJwYnBicGJgYmBiYGJQYlBiQGJAYkBiMGIwYiBiIGIQYhBiEGIAYgBh8GHwYeBh4GHQYdBhwGHAYbBhsGGgYaBhkGGAYYBhcGFwYWBhYGFQYUBhQGEwYTBhIGEQYRBhAGEAYPBg4GDQYNBgwGDAYLBgoGCQYJBggGBwYHBgYGBQYFBgQGAwYDBgIGAQYABgAF/wX+Bf4F/QX8BfsF+wX6BfkF+AX4BfcF9gX2BfUF9AXzBfMF8gXxBfAF8AXvBe4F7QXtBewF6wXrBeoF6QXoBegF5wXmBeYF5QXkBeMF4wXiBeEF4QXgBd8F3gXeBd0F3AXbBdsF2gXZBdkF2AXXBdYF1gXVBdQF1AXTBdIF0QXRBdAFzwXOBc4FzQXMBcwFywXKBckFyQXIBccFxgXFBcUFxAXDBcIFwQXBBcAFvwW+Bb0FvQW8BbsFugW5BbgFuAW3BbYFtQW0BbMFsgWxBbAFsAWvBa4FrQWsBasFqgWpBagFpwWmBaUFpAWjBaIFoQWgBZ8FngWdBZwFmwWaBZkFmAWXBZYFlQWUBZMFkgWRBY8FjgWNBYwFiwWKBYkFiAWHBYYFhQWDBYIFgQWABX8FfgV9BXwFegV5BXgFdwV2BXUFdAVyBXEFcAVvBW4FbQVsBWoFaQVoBWcFZgVlBWQFYgVhBWAFXwVeBV0FXAVaBVkFWAVXBVYFVQVUBVIFUQVQBU8FTgVMBUsFSgVJBUgFRwVFBUQFQwVCBUEFQAU+BT0FPAU7BToFOAU3BTYFNAUzBTIFMQUwBS4FLQUsBSsFKQUoBScFJQUkBSMFIQUgBR8FHQUcBRsFGQUYBRcFFQUUBRMFEQUQBQ4FDQUMBQoFCQUIBQYFBQUDBQIFAQT/BP4E/AT7BPoE+AT3BPUE9ATzBPEE8ATvBO0E7ATrBOkE6ATnBOUE5ATjBOIE4ATfBN4E3QTcBNsE2gTZBNgE1wTWBNUE1ATTBNIE0QTQBM8EzwTOBM0EzATMBMsEywTKBMoEyQTJBMgEyATIBMgExwTHBMcExwTHBMcExwTHBMgEyATIBMgEyQTJBMoEygTLBMsEzATNBM4EzgTPBNAE0QTSBNME1ATVBNcE2ATZBNoE3ATdBN8E4ATiBOME5QTnBOgE6gTsBO0E7wTxBPME9QT3BPkE+wT9BP8FAQUDBQUFBwUJBQsFDQUPBREFEwUWBRgFGgUcBR4FIAUiBSQFJwUpBSsFLQUvBTEFMwU1BTcFOQU7BTwFPgVABUIFRAVFBUcFSQVLBUwFTgVPBVEFUgVUBVUFVgVXBVkFWgVbBVwFXQVeBV8FYAVgBWEFYgViBWMFZAVkBWUFZQVlBWUFZgVmBWYFZgVmBWYFZgVmBWYFZQVlBWUFZAVkBWMFYwViBWIFYQVgBWAFXwVeBV0FXAVcBVsFWgVZBVgFVgVVBVQFUwVSBVEFUAVOBU0FTAVLBUkFSAVHBUUFRAVCBUEFQAU+BT0FPAU6BTkFNwU2BTQFMwUyBTAFLwUuBSwFKwUpBSgFJwUlBSQFIwUhBSAFHwUeBRwFGwUaBRkFGAUWBRUFFAUTBRIFEQUQBQ8FDgUNBQwFCwUKBQkFCAUHBQYFBQUFBQQFAwUCBQIFAQUABP8E/wT+BP0E/QT8BPwE+wT6BPoE+QT5BPgE+AT3BPcE9gT2BPUE9QT0BPQE9ATzBPME8gTyBPEE8QTxBPAE8ATwBO8E7wTuBO4E7gTtBO0E7ATsBOwE6wTrBOsE6gTqBOkE6QTpBOgE6AToBOcE5wTnBOYE5gTlBOUE5ATkBOQE4wTjBOIE4gThBOEE4QTgBOAE3wTfBN4E3gTdBN0E3ATcBNwE2wTbBNoE2gTZBNkE2ATYBNcE1wTWBNYE1QTVBNQE1ATUBNME0wTSBNIE0QTRBNEE0ATQBM8EzwTPBM4EzgTOBM0EzQTMBMwEzATLBMsEywTLBMoEygTKBMoEyQTJBMkEyQTJBMgEyATIBMgEyATIBMgEyATIBMgExwTHBMcExwTIBMgEyATIBMgEyATIBMgEyATIBMkEyQTJBMkEygTKBMoEygTLBMsEywTMBMwEzATNBM0EzgTOBM8EzwTPBNAE0ATRBNEE0gTTBNME1ATUBNUE1QTWBNcE1wTYBNgE2QTaBNsE2wTcBN0E3QTeBN8E4ATgBOEE4gTjBOME5ATlBOYE5wTnBOgE6QTqBOsE6wTsBO0E7gTvBPAE8QTxBPIE8wT0BPUE9gT3BPgE+AT5BPoE+wT8BP0E/gT/BQAFAQUBBQIFAwUEBQUFBgUHBQgFCQUKBQsFDAUNBQ4FDgUPBRAFEQUSBRMFFAUVBRYFFwUYBRkFGgUbBRwFHQUeBR8FIAUiBSMFJAUlBSYFJwUoBSkFKgUrBS0FLgUvBTAFMQUzBTQFNQU2BTcFOQU6BTsFPQU+BUAFQQVCBUQFRQVHBUgFSQVLBUwFTgVQBVEFUwVUBVYFWAVZBVsFXQVeBWAFYgVjBWUFZwVpBWsFbQVuBXAFcgV0BXYFeAV6BXwFfgWABYIFhAWGBYgFigWMBY8FkQWTBZUFlwWaBZwFngWgBaIFpQWnBakFrAWuBbAFswW1BbcFuQW8Bb4FwQXDBcUFyAXKBc0FzwXRBdQF1gXZBdsF3QXgBeIF5QXnBekF7AXuBfAF8wX1BfcF+gX8Bf8GAQYDBgYGCAYKBgwGDwYRBhMGFgYYBhoGHAYfBiEGIwYlBicGKQYsBi4GMAYyBjQGNgY4BjoGPAY+BkAGQgZEBkYGSAZKBkwGTgZQBlIGUwZVBlcGWQZbBlwGXgZgBmEGYwZlBmYGaAZqBmsGbQZuBnAGcQZyBnQGdQZ3BngGeQZ7BnwGfQZ+BoAGgQaCBoMGhAaFBoYGhwaIBokGigaLBowGjQaOBo4GjwaQBpEGkQaSBpMGkwaUBpQGlQaVBpYGlgaWBpcGlwaXBpgGmAaYBpgGmAaYBpgGmAaYBpgGmAaYBpgGmAaYBpcGlwaXBpYGlgaVBpUGlAaUBpMGkwaSBpIGkQaQBpAGjwaOBo0GjAaLBosGigaJBogGhwaGBoUGgwaDBoEGgAZ/Bn4GfQZ7BnoGeQZ4BncGdQZ0BnMGcQZwBm8GbQZsBmsGaQZoBmcGZQZkBmIGYQZgBl4GXQZcBloGWQZYBlYGVQZUBlIGUQZQBk4GTQZMBksGSQZIBkcGRgZFBkMGQgZBBkAGPwY+Bj0GPAY7BjoGOQY4BjcGNgY1BjQGNAYzBjIGMQYxBjAGLwYuBi4GLQYtBiwGLAYrBisGKgYqBikGKQYpBigGKAYoBigGJwYnBicGJwYnBicGJgYmBiYGJgYmBiYGJgYmBicGJwYnBicGJwYnBicGKAYoBigGKAYoBikGKQYpBikGKgYqBioGKwYrBisGLAYsBiwGLQYtBi0GLgYuBi4GLwYvBjAGMAYwBjEGMQYxBjIGMgYyBjMGMwYzBjQGNAY0BjUGNQY1BjYGNgY2BjYGNwY3BjcGNwY4BjgGOAY5BjkGOQY5BjkGOQY6BjoGOgY6BjoGOgY6BjoGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjsGOwY7BjoGOgY6BjoGOgY6BjoGOgY6BjoGOQY5BjkGOQY5BjkGOQY4Bm8GbgZuBm0GbQZtBmwGbAZrBmsGawZqBmoGagZpBmkGaQZoBmgGaAZnBmcGZwZnBmYGZgZmBmYGZQZlBmUGZQZkBmQGZAZkBmQGYwZjBmMGYwZjBmIGYgZiBmIGYgZiBmEGYQZhBmEGYQZhBmEGYAZgBmAGYAZgBmAGXwZfBl8GXwZfBl4GXgZeBl4GXQZdBl0GXAZcBlwGXAZbBlsGWwZaBloGWgZZBlkGWAZYBlgGVwZXBlYGVgZVBlUGVAZUBlMGUgZSBlEGUQZQBk8GTwZOBk0GTQZMBksGSgZKBkkGSAZHBkcGRgZFBkQGQwZCBkEGQAZABj8GPgY9BjwGOwY6BjkGOAY3BjYGNQY0BjMGMgYxBjAGLgYtBiwGKwYqBikGKAYnBiYGJQYkBiIGIQYgBh8GHgYdBhwGGwYZBhgGFwYWBhUGFAYTBhEGEAYPBg4GDQYMBgsGCgYIBgcGBgYFBgQGAwYCBgEGAAX/Bf4F/QX8BfsF+gX4BfcF9gX1BfQF8wXyBfEF8AXvBe4F7QXsBesF6wXqBekF6AXnBeYF5QXkBeMF4gXhBeAF3wXeBd0F3AXbBdsF2gXZBdgF1wXWBdUF1AXTBdIF0QXQBc8FzgXOBc0FzAXLBcoFyQXIBccFxgXFBcQFwwXCBcEFwAW/Bb4FvQW8BbsFugW5BbgFtwW1BbQFswWyBbEFsAWvBa4FrQWsBaoFqQWoBacFpgWlBaMFogWhBaAFnwWeBZwFmwWaBZkFlwWWBZUFlAWTBZEFkAWPBY4FjQWLBYoFiQWIBYcFhQWEBYMFggWABX8FfgV9BXwFegV5BXgFdwV2BXUFcwVyBXEFcAVvBW4FbQVrBWoFaQVoBWcFZgVlBWQFYwViBWEFYAVeBV0FXAVbBVoFWQVYBVcFVgVVBVQFUwVSBVEFUAVPBU4FTQVMBUsFSQVIBUcFRgVFBUQFQwVCBUEFQAU/BT0FPAU7BToFOQU3BTYFNQU0BTMFMQUwBS8FLQUsBSoFKQUnBSYFJQUjBSIFIAUeBR0FGwUaBRgFFgUVBRMFEQUPBQ0FDAUKBQgFBgUEBQIFAAT+BPwE+gT4BPYE9ATyBPAE7gTsBOkE5wTlBOME4QTfBNwE2gTYBNYE1ATRBM8EzQTLBMkExwTFBMMEwAS+BLwEugS4BLYEtQSzBLEErwSuBKwEqgSpBKcEpgSkBKMEoQSgBJ8EngSdBJwEmwSaBJkEmQSYBJgElwSXBJcElgSWBJYElgSXBJcElwSYBJkEmQSaBJsEnASdBJ4EoAShBKIEpASmBKcEqQSrBK0EsASyBLQEtwS5BLwEvwTBBMQExwTKBM4E0QTUBNcE2wTeBOIE5QTpBO0E8QT0BPgE/AUABQQFCAUMBRAFFAUYBRwFIAUkBSgFLAUwBTQFOAU8BUAFRAVIBUwFUAVUBVgFWwVfBWMFZgVqBW0FcAVzBXcFegV9BYAFgwWFBYgFiwWNBY8FkgWUBZYFmAWaBZsFnQWeBaAFoQWiBaMFpAWlBaYFpgWnBacFpwWnBacFpwWnBacFpgWlBaUFpAWjBaIFoQWgBZ8FnQWcBZoFmAWXBZUFkwWRBY8FjQWLBYgFhgWEBYEFfwV8BXoFdwV0BXEFbwVsBWkFZgVjBWAFXQVaBVgFVQVRBU8FTAVJBUYFQwVABT0FOgU3BTQFMQUuBSsFKAUmBSMFIAUeBRsFGAUWBRMFEQUOBQwFCQUHBQUFAgUABP4E/AT6BPgE9gT0BPIE8ATvBO0E6wTqBOgE5wTlBOQE4gThBOAE3wTdBNwE2wTaBNkE2ATXBNYE1QTUBNME0wTSBNEE0ATQBM8EzgTOBM0EzQTMBMwEywTLBMoEygTJBMkEyATIBMcExwTHBMYExgTGBMUExQTEBMQExATDBMMEwwTCBMIEwQTBBMAEwATABL8EvwS+BL4EvgS9BL0EvAS7BLsEugS6BLkEuQS4BLgEtwS3BLYEtQS1BLQEtASzBLIEsgSxBLAEsASvBK4ErgStBKwErASrBKoEqgSpBKgEqASnBKYEpgSlBKQEpASjBKIEoQShBKAEoASfBJ4EngSdBJ0EnASbBJsEmgSaBJkEmQSYBJgElwSXBJYElgSVBJUElQSUBJQElASTBJMEkgSSBJIEkgSRBJEEkQSRBJEEkQSQBJAEkASQBJAEkASQBJAEkASQBJAEkASQBJAEkQSRBJEEkQSRBJEEkQSSBJIEkgSTBJMEkwSUBJQElASVBJUElQSWBJYElwSXBJgEmASZBJkEmgSaBJsEnAScBJ0EnQSeBJ8EnwSgBKEEoQSiBKMEowSkBKUEpgSmBKcEqASpBKoEqgSrBKwErQSuBK4ErwSwBLEEsgSzBLMEtAS1BLYEtwS4BLkEugS6BLsEvAS9BL4EvwTABMEEwgTDBMQExATFBMYExwTIBMkEygTLBMwEzQTOBM4EzwTQBNEE0gTTBNQE1ATVBNYE1wTYBNkE2gTbBNsE3ATdBN4E3wTgBOAE4QTiBOME5ATlBOYE5wTnBOgE6QTqBOsE7ATtBO4E7wTwBPAE8QTyBPME9AT1BPYE9wT4BPkE+gT7BP0E/gT/BQAFAQUCBQQFBQUGBQcFCQUKBQsFDQUOBRAFEQUTBRQFFgUXBRkFGwUdBR4FIAUiBSQFJgUoBSoFKwUuBTAFMgU0BTYFOAU7BT0FPwVCBUQFRwVJBUwFTgVRBVMFVgVZBVwFXgVhBWQFZwVqBW0FcAVzBXYFeQV8BX8FggWFBYgFjAWPBZIFlQWZBZwFnwWjBaYFqQWtBbAFtAW3BboFvgXBBcUFyAXMBc8F0gXWBdkF3QXgBeMF5wXqBe4F8QX0BfgF+wX/BgIGBQYJBgwGDwYTBhYGGQYcBiAGIwYmBikGLAYvBjIGNQY5BjsGPgZBBkUGRwZKBk0GUAZTBlYGWQZbBl4GYQZkBmcGaQZsBm8GcQZ0BncGeQZ8Bn4GgQaDBoYGiAaLBo0GjwaSBpQGlwaZBpsGnQagBqIGpAamBqkGqwatBq8GsQazBrUGtwa6BrwGvQa/BsEGwwbFBscGyQbLBs0GzgbQBtIG0wbVBtYG2AbaBtsG3QbeBt8G4QbiBuQG5QbmBucG6AbpBuoG6wbsBu0G7gbvBvAG8AbxBvIG8gbzBvMG9Ab0BvQG9Ab1BvUG9Qb1BvUG9Qb0BvQG9Ab0BvMG8wbyBvIG8QbwBu8G7wbuBu0G7AbrBuoG6QboBuYG5QbkBuIG4QbfBt4G3AbbBtkG1wbWBtQG0gbQBs4GzQbLBskGxwbFBsMGwAa+BrwGuga4BrYGtAayBq8GrQarBqkGpwakBqIGoAaeBpwGmgaYBpUGkwaRBo8GjQaLBokGhwaFBoMGgQaABn4GfAZ6BngGdwZ1BnMGcgZwBm8GbQZsBmsGaQZoBmcGZgZlBmQGYwZiBmEGYAZfBl4GXgZdBlwGWwZbBloGWgZaBlkGWQZZBlkGWAZYBlgGWAZYBlgGWAZYBlgGWQZZBlkGWQZaBloGWgZbBlsGXAZcBl0GXQZeBl4GXwZgBmAGYQZiBmIGYwZkBmQGZQZmBmcGZwZoBmkGagZqBmsGbAZsBm0GbgZvBm8GcAZxBnIGcgZzBnMGdAZ1BnUGdgZ3BncGeAZ4BnkGeQZ6BnoGegZ7BnsGfAZ8BnwGfQZ9Bn0GfQZ+Bn4GfgZ+Bn8GfwZ/Bn8GfwZ/Bn8GfwZ/Bn8GfwZ/Bn8GfgZ+Bn4GfgZ+Bn4GfQZ9Bn0GfQZ8BnwGfAZ7BnsGewZ6BnoGegZ5BnkGeQZ4BngGdwZ3BnYGdgZ2BnUGdQZ0BnQGcwZzBnIGcgZyBnEGcQZwBnAGbwZvBqgGpwanBqYGpQalBqQGpAajBqMGogahBqEGoAagBp8GnwaeBp4GnQadBp0GnAacBpwGmwabBpsGmgaaBpoGmgaZBpkGmQaZBpkGmAaYBpgGmAaYBpgGlwaXBpcGlwaXBpcGlwaWBpYGlgaWBpYGlgaWBpYGlgaVBpUGlQaVBpUGlQaVBpQGlAaUBpQGlAaUBpMGkwaTBpMGkgaSBpIGkgaRBpEGkQaQBpAGkAaPBo8GjgaOBo0GjQaMBowGiwaLBooGigaJBokGiAaHBoYGhgaFBoQGhAaDBoIGgQaBBoAGfwZ+Bn0GfAZ7BnoGeQZ4BncGdgZ1BnQGcwZyBnEGcAZvBm0GbAZrBmoGaQZoBmYGZQZkBmIGYQZgBl8GXQZcBloGWQZYBlYGVQZTBlIGUQZPBk4GTAZLBkkGSAZHBkUGRAZCBkEGPwY+BjwGOwY5BjgGNgY1BjMGMgYwBi8GLQYsBioGKQYnBiYGJAYjBiEGIAYeBh0GHAYaBhkGFwYWBhUGEwYSBhAGDwYOBgwGCwYKBgkGBwYGBgUGBAYCBgEGAAX/Bf0F/AX7BfoF+AX3BfYF9QX0BfMF8gXwBe8F7gXtBewF6wXqBekF5wXmBeUF5AXjBeIF4QXgBd8F3gXdBdsF2gXZBdgF1wXWBdUF1AXTBdIF0AXPBc4FzQXMBcsFyQXIBccFxgXFBcMFwgXBBcAFvgW9BbwFuwW5BbgFtwW1BbQFswWxBbAFrwWtBawFqwWpBagFpwWlBaQFogWhBaAFngWdBZsFmgWYBZcFlgWUBZMFkQWQBY8FjQWMBYoFiQWIBYYFhQWDBYIFgQV/BX4FfQV7BXoFeQV4BXYFdQV0BXIFcQVwBW8FbgVtBWsFagVpBWgFZwVmBWUFZAVjBWIFYQVgBV8FXgVdBVwFWwVaBVkFWAVXBVYFVQVVBVQFUwVSBVEFUAVQBU8FTgVNBUwFSwVLBUoFSQVIBUcFRgVFBUQFRAVDBUIFQQVABT8FPgU9BTwFOwU5BTgFNwU2BTUFMwUyBTEFLwUuBS0FKwUqBSgFJgUlBSMFIQUgBR4FHAUaBRgFFgUUBRIFEAUOBQsFCQUHBQQFAgT/BP0E+gT4BPUE8gTvBO0E6gTnBOQE4QTeBNsE2ATVBNIEzwTMBMkExgTDBMAEvQS6BLcEtASxBK4EqwSoBKUEogSfBJwEmQSWBJQEkQSPBIwEigSHBIUEgwSBBH8EfQR7BHkEeAR2BHUEdARzBHIEcQRwBG8EbwRvBG8EbwRvBG8EbwRwBHEEcgRzBHQEdQR3BHgEegR8BH8EgQSEBIYEiQSMBI8EkwSWBJoEnQShBKUEqgSuBLIEtwS7BMAExQTKBM8E1QTaBN8E5QTqBPAE9gT7BQEFBwUNBRMFGQUeBSQFKgUwBTYFPAVCBUgFTQVTBVkFXgVkBWkFbgVzBXkFfgWCBYcFjAWQBZUFmQWdBaEFpQWoBawFrwWyBbUFuAW6Bb0FvwXBBcIFxAXFBcYFxwXIBckFyQXJBckFyQXIBcgFxwXGBcUFwwXBBcAFvgW8BbkFtwW0BbEFrgWrBagFpAWhBZ0FmQWVBZEFjQWJBYQFgAV7BXcFcgVtBWgFYwVeBVkFVAVPBUoFRQVABTsFNgUxBSwFJwUiBR0FGAUTBQ4FCQUEBP8E+wT2BPEE7QToBOQE4ATcBNgE1ATQBMwEyATEBMEEvgS6BLcEtASxBK4EqwSoBKYEowShBJ8EnQSaBJgElgSVBJMEkQSQBI4EjQSMBIsEigSJBIgEhwSGBIYEhQSEBIQEhASDBIMEgwSCBIIEggSCBIIEggSCBIIEggSCBIIEgwSDBIMEgwSDBIQEhASEBIQEhASFBIUEhQSFBIYEhgSGBIYEhgSHBIcEhwSHBIcEhwSHBIcEhwSHBIcEhwSHBIcEhwSHBIcEhgSGBIYEhgSFBIUEhQSFBIQEhASEBIMEgwSDBIIEggSBBIEEgASABIAEfwR/BH4EfgR9BH0EfAR8BHsEewR7BHoEegR5BHkEeAR4BHgEdwR3BHcEdgR2BHYEdgR1BHUEdQR1BHUEdQR0BHQEdAR0BHQEdAR0BHQEdQR1BHUEdQR1BHUEdgR2BHYEdwR3BHcEeAR4BHgEeQR5BHoEegR7BHsEfAR8BH0EfgR+BH8EgASABIEEggSCBIMEhASEBIUEhgSHBIcEiASJBIoEiwSLBIwEjQSOBI4EjwSQBJEEkgSSBJMElASVBJYElgSXBJgEmQSaBJoEmwScBJ0EngSfBJ8EoAShBKIEowSjBKQEpQSmBKcEpwSoBKkEqgSrBKsErAStBK4ErwSwBLEEsQSyBLMEtAS1BLYEtwS4BLkEugS6BLsEvAS9BL4EvwTABMEEwgTDBMQExQTGBMcEyATJBMoEywTMBM0EzwTPBNEE0gTTBNQE1QTWBNcE2ATZBNoE3ATdBN4E3wTgBOEE4gTjBOQE5QTmBOcE6ATpBOoE6wTsBO0E7gTvBPAE8QTyBPME9AT1BPYE9wT4BPkE+QT6BPsE/AT9BP4E/gT/BQAFAQUCBQIFAwUEBQUFBQUGBQcFCAUJBQkFCgULBQwFDQUOBQ4FDwUQBREFEgUTBRQFFQUWBRcFGAUZBRoFGwUcBR4FHwUgBSEFIwUkBSYFJwUoBSoFLAUtBS8FMQUzBTUFNwU4BTsFPQU/BUEFQwVFBUgFSgVNBU8FUgVVBVcFWgVdBWAFYgVlBWkFbAVvBXIFdQV4BXwFfwWCBYYFiQWNBZAFlAWXBZsFnwWiBaYFqgWtBbEFtQW5Bb0FwQXEBcgFzAXQBdQF1wXbBd8F4wXnBesF7gXyBfYF+gX9BgEGBQYIBgwGEAYTBhcGGgYeBiEGJQYoBiwGLwYyBjUGOQY8Bj8GQgZFBkgGSwZOBlEGVAZXBloGXQZgBmIGZQZoBmoGbQZwBnIGdQZ3BnoGfAZ/BoEGhAaGBokGiwaNBpAGkgaVBpcGmQacBp4GoAajBqUGpwaqBqwGrgaxBrMGtQa3BroGvAa/BsEGwwbGBsgGygbNBs8G0QbUBtYG2QbbBt4G4AbiBuUG5wbpBuwG7gbwBvMG9Qb3BvoG/Ab+BwAHAwcFBwcHCQcLBw0HDwcRBxMHFQcXBxkHGgccBx4HHwchByIHJAclByYHJwcoBykHKgcrBywHLQcuBy4HLwcvBy8HMAcwBzAHMAcwBy8HLwcvBy4HLgctBywHKwcrByoHKQcnByYHJQcjByIHIAcfBx0HGwcZBxgHFgcTBxEHDwcNBwsHCAcGBwMHAQb/BvwG+Qb3BvQG8gbvBuwG6gbnBuQG4QbfBtwG2QbXBtQG0QbOBswGyQbHBsQGwga/Br0Guga4BrUGswaxBq8GrQarBqkGpwalBqMGoQafBp4GnAabBpkGmAaXBpYGlAaTBpIGkgaRBpAGjwaPBo4GjgaNBo0GjQaMBowGjAaMBowGjAaNBo0GjQaOBo4GjwaPBpAGkAaRBpIGkwaTBpQGlQaWBpcGmAaZBpsGnAadBp4GnwagBqIGowakBqUGpgaoBqkGqgasBq0GrgavBrEGsgazBrUGtga3BrgGuQa7BrwGvQa+Br8GwAbBBsIGwwbEBsUGxgbHBscGyAbJBsoGygbLBswGzAbNBs0GzgbOBs4GzwbPBs8GzwbQBtAG0AbQBtAG0AbQBtAG0AbQBs8GzwbPBs8GzgbOBs4GzQbNBs0GzAbMBssGywbKBskGyQbIBscGxwbGBsUGxQbEBsMGwgbBBsEGwAa/Br4GvQa9BrwGuwa6BrkGuAa3BrcGtga1BrQGswayBrIGsQawBq8GrgatBq0GrAarBqoGqgapBuMG4wbiBuEG4QbgBuAG3wbfBt4G3gbeBt0G3QbcBtwG3AbbBtsG2gbaBtoG2QbZBtkG2QbYBtgG2AbYBtcG1wbXBtcG1gbWBtYG1gbWBtUG1QbVBtUG1QbUBtQG1AbUBtQG0wbTBtMG0wbSBtIG0gbRBtEG0QbRBtAG0AbQBs8GzwbPBs4GzgbOBs0GzQbMBswGzAbLBssGygbKBskGyQbIBsgGxwbHBsYGxgbFBsUGxAbEBsMGwwbCBsEGwQbABr8Gvwa+Br4GvQa8BrwGuwa6BroGuQa4BrgGtwa2BrUGtQa0BrMGswayBrEGsAavBq4GrgatBqwGqwaqBqkGqQanBqcGpgalBqQGowaiBqEGoAafBp0GnAabBpoGmQaYBpcGlQaUBpMGkgaQBo8GjgaMBosGigaIBocGhQaEBoIGgQZ/Bn4GfAZ6BnkGdwZ2BnQGcgZxBm8GbQZrBmoGaAZmBmQGYwZhBl8GXQZbBloGWAZWBlQGUgZRBk8GTQZLBkkGSAZGBkQGQgZABj4GPQY7BjkGNwY2BjQGMgYxBi8GLQYsBioGKAYnBiUGIwYiBiAGHwYdBhwGGgYYBhcGFQYUBhMGEQYQBg4GDQYMBgoGCQYHBgYGBQYDBgIGAQX/Bf4F/QX7BfoF+QX3BfYF9QXzBfIF8QXvBe4F7QXrBeoF6QXnBeYF5QXjBeIF4AXfBd0F3AXaBdkF2AXWBdUF0wXSBdAFzgXNBcsFygXIBcYFxQXDBcEFwAW+Bb0FuwW5BbcFtgW0BbIFsAWvBa0FqwWpBacFpQWkBaIFoAWeBZwFmgWYBZcFlQWTBZEFjwWNBYwFigWIBYYFhAWCBYEFfwV9BXsFeQV4BXYFdAVyBXEFbwVtBWwFagVoBWYFZQVjBWIFYAVfBV0FXAVaBVkFVwVWBVQFUwVSBVAFTwVOBUwFSwVKBUkFSAVGBUUFRAVDBUIFQQVABT8FPgU9BTwFOwU6BTkFOAU4BTcFNgU1BTQFMwUzBTIFMQUwBS8FLgUuBS0FLAUrBSoFKQUoBScFJwUmBSQFIwUiBSEFIAUfBR4FHQUbBRoFGQUXBRYFFAUTBREFDwUOBQwFCgUIBQYFBAUCBQAE/gT7BPkE9gT0BPEE7wTsBOkE5gTkBOAE3QTaBNcE1ATRBM0EygTHBMMEwAS8BLkEtQSyBK4EqgSnBKMEnwScBJgElASRBI0EigSGBIMEfwR8BHkEdQRyBG8EbARpBGcEZARiBF8EXQRbBFkEVwRVBFQEUgRRBFAETwRPBE4ETgROBE4ETgRPBFAEUQRSBFMEVQRXBFkEXAReBGEEZARnBGsEbgRyBHcEewR/BIQEiQSOBJQEmQSfBKUEqgSxBLcEvQTEBMsE0QTYBN8E5gTtBPUE/AUDBQoFEgUZBSAFJwUvBTYFPQVEBUsFUgVZBV8FZgVsBXIFeAV+BYQFiQWPBZQFmQWdBaIFpgWqBa0FsQW0BbcFuQW8Bb4FwAXBBcIFwwXDBcQFwwXDBcIFwQXABb4FvAW6BbgFtQWyBa8FqwWnBaMFnwWaBZUFkAWLBYUFgAV6BXQFbgVnBWEFWgVTBUwFRQU+BTcFMAUoBSEFGgUSBQsFAwT8BPQE7QTlBN4E1wTPBMgEwQS6BLMErASmBJ8EmQSSBIwEhgSABHoEdQRvBGoEZQRgBFsEVwRSBE4ESgRHBEMEQAQ8BDkENgQ0BDEELwQtBCsEKQQoBCYEJQQkBCMEIgQhBCEEIQQgBCAEIAQgBCEEIQQiBCIEIwQkBCUEJgQnBCgEKQQqBCwELQQuBDAEMQQzBDUENgQ4BDkEOwQ8BD4EQARBBEMERARGBEcESQRKBEsETQROBE8EUQRSBFMEVARVBFYEVwRYBFkEWgRbBFsEXARcBF0EXgReBF4EXwRfBF8EXwRgBGAEYARgBGAEYARgBGAEXwRfBF8EXwRfBF4EXgReBF4EXQRdBFwEXARcBFsEWwRbBFsEWgRaBFoEWQRZBFkEWQRYBFgEWARYBFgEWARYBFgEWARYBFgEWARYBFkEWQRZBFoEWgRbBFsEXARcBF0EXgReBF8EYARhBGIEYwRkBGUEZgRnBGgEagRrBGwEbgRvBHAEcgR0BHUEdwR4BHoEewR9BH8EgASCBIQEhQSHBIkEiwSMBI4EkASSBJMElQSXBJkEmgScBJ4EnwShBKMEpASmBKcEqQSqBKwErQSvBLAEsgSzBLQEtgS3BLgEuQS6BLwEvQS+BL8EwATBBMIEwwTEBMUExgTGBMcEyATJBMkEygTLBMsEzATNBM0EzgTPBM8E0ATQBNEE0gTSBNME0wTUBNQE1QTWBNYE1wTYBNgE2QTaBNoE2wTcBN0E3QTeBN8E4AThBOIE4wTkBOUE5gTnBOgE6QTqBOwE7QTuBPAE8QTyBPQE9QT2BPgE+QT7BP0E/gUABQEFAwUFBQYFCAUKBQwFDQUPBREFEgUUBRYFGAUaBRsFHQUfBSEFIgUkBSYFJwUpBSsFLAUuBS8FMQUyBTQFNQU3BTgFOQU7BTwFPQU+BUAFQQVCBUMFRAVFBUYFRwVIBUgFSQVKBUsFTAVMBU0FTgVOBU8FUAVQBVEFUQVSBVIFUwVTBVQFVAVVBVUFVgVXBVcFWAVYBVkFWgVaBVsFXAVdBV0FXgVfBWAFYQViBWQFZQVmBWcFaQVqBWwFbQVvBXAFcgV0BXYFeAV6BXwFfgWABYMFhQWHBYoFjQWPBZIFlQWYBZsFngWhBaQFpwWqBa0FsQW0BbcFuwW+BcIFxQXJBc0F0AXUBdgF2wXfBeMF5gXqBe4F8gX2BfkF/QYBBgQGCAYMBg8GEwYWBhoGHQYhBiQGJwYrBi4GMQY0BjgGOwY+BkEGRAZGBkkGTAZPBlEGVAZXBlkGWwZeBmAGYwZlBmcGaQZrBm0GcAZyBnMGdQZ3BnkGewZ9Bn8GgQaCBoQGhgaIBokGiwaNBo4GkAaSBpQGlQaXBpkGmwadBp8GoQajBqQGpgapBqsGrQavBrEGswa2BrgGuga9Br8GwgbEBscGygbMBs8G0gbVBtcG2gbdBuAG4wbmBukG7QbwBvMG9gb5BvwHAAcDBwYHCQcMBxAHEwcWBxkHHAcfByIHJQcoBysHLgcxBzQHNwc5BzwHPwdBB0MHRgdIB0oHTAdOB1AHUQdTB1QHVgdXB1gHWQdaB1sHXAdcB10HXQddB10HXQddB10HXAdcB1sHWgdZB1gHVwdWB1QHUwdRB08HTgdMB0oHSAdFB0MHQQc+BzwHOQc3BzQHMQcvBywHKQcmByMHIAcdBxoHFwcUBxEHDgcLBwgHBgcDBwAG/Qb6BvcG9QbyBu8G7QbqBugG5QbjBuEG3gbcBtoG2AbWBtUG0wbRBtAGzgbNBswGywbKBskGyAbHBsYGxgbFBsUGxQbFBsQGxAbEBsUGxQbFBsUGxgbGBscGxwbIBskGygbLBswGzQbOBs8G0AbRBtMG1AbVBtYG2AbZBtsG3AbeBt8G4QbiBuQG5QbnBugG6gbrBu0G7gbwBvEG8wb0BvYG9wb4BvoG+wb8Bv4G/wcABwEHAgcEBwUHBgcHBwgHCQcKBwoHCwcMBw0HDgcOBw8HDwcQBxAHEQcRBxIHEgcSBxIHEwcTBxMHEwcTBxMHEwcTBxMHEwcTBxIHEgcSBxIHEQcRBxEHEAcQBw8HDwcOBw4HDQcNBwwHCwcKBwoHCQcIBwgHBwcGBwUHBQcEBwMHAgcBBwAG/wb/Bv4G/Qb8BvsG+gb5BvgG9wb3BvYG9Qb0BvMG8gbxBvAG8AbvBu4G7QbsBuwG6wbqBukG6QboBucG5wbmBuUG5QbkByQHJAckByQHJAckByQHJAckByQHJAckByMHIwcjByMHIwcjByMHIwcjByMHIwcjByMHIwcjByIHIgciByIHIgciByEHIQchByEHIAcgByAHHwcfBx8HHgceBx0HHQccBxwHGwcaBxoHGQcYBxgHFwcWBxUHFQcUBxMHEgcRBxAHDwcPBw4HDQcMBwsHCgcJBwgHBwcGBwUHAwcCBwEHAAb/Bv4G/Qb8BvsG+gb5BvgG9wb2BvUG9AbzBvIG8QbwBu8G7wbuBu0G7AbrBusG6gbpBugG6AbnBuYG5gblBuQG5AbjBuMG4gbiBuEG4QbgBuAG3wbfBt4G3gbdBt0G3AbcBtsG2wbaBtoG2QbZBtgG2AbXBtcG1gbWBtUG1AbUBtMG0gbRBtAG0AbPBs4GzQbMBssGygbJBsgGxwbFBsQGwwbCBsAGvwa9BrwGuga5BrcGtQa0BrIGsAauBqwGqwapBqcGpQajBqEGnwacBpoGmAaWBpQGkgaQBo0GiwaJBoYGhAaCBoAGfQZ7BnkGdwZ0BnIGcAZtBmsGaQZnBmQGYgZgBl4GXAZaBlgGVQZTBlEGTwZNBksGSQZHBkUGQwZCBkAGPgY8BjoGOAY3BjUGMwYxBjAGLgYsBisGKQYnBiYGJAYiBiEGHwYeBhwGGgYZBhcGFgYUBhIGEQYPBg0GDAYKBgkGBwYFBgQGAgYABf8F/QX7BfkF9wX2BfQF8gXwBe8F7QXrBekF5wXlBeMF4QXfBd0F2wXZBdcF1QXTBdEFzwXNBcsFyQXHBcUFwwXBBb4FvAW6BbgFtgW0BbEFrwWtBasFqQWmBaQFogWgBZ0FmwWZBZcFlAWSBZAFjQWLBYkFhgWEBYIFfwV9BXsFeAV2BXQFcQVvBW0FagVoBWYFYwVhBV8FXAVaBVgFVQVTBVEFTwVMBUoFSAVGBUQFQQU/BT0FOwU5BTcFNQUzBTEFLwUtBSsFKgUoBSYFJAUjBSEFHwUeBRwFGwUaBRgFFwUWBRQFEwUSBREFEAUOBQ4FDQUMBQsFCgUJBQgFBwUHBQYFBQUFBQQFAwUCBQIFAQUBBQAFAAT/BP4E/gT9BPwE/AT7BPoE+QT5BPgE9wT2BPUE9ATzBPIE8ATvBO4E7ATrBOkE6ATmBOQE4gTgBN4E3ATZBNcE1ATSBM8EzATJBMYEwwTABL0EugS2BLMErwSsBKgEpASgBJ0EmQSVBJEEjQSJBIUEgQR9BHkEdQRxBG0EaQRlBGIEXgRaBFcEUwRQBE0ESgRHBEUEQgRABD4EPAQ6BDkENwQ2BDUENQQ1BDQENQQ1BDYENwQ4BDoEPAQ+BEAEQwRGBEkETQRRBFUEWQReBGMEaARuBHQEegSABIcEjQSUBJsEowSqBLIEugTCBMoE0gTaBOIE6wTzBPsFBAUMBRQFHQUlBS0FNQU9BUUFTAVUBVsFYgVpBW8FdgV8BYIFhwWMBZEFlgWaBZ4FoQWkBacFqQWrBa0FrgWuBa8FrwWuBa0FrAWqBagFpQWiBZ8FmwWXBZIFjQWIBYIFfAV2BW8FaQVhBVoFUgVKBUIFOQUxBSgFHwUWBQ0FAwT6BPAE5gTdBNMEyQS/BLYErASiBJkEjwSGBH0EcwRqBGIEWQRQBEgEQAQ4BDAEKQQhBBoEFAQNBAcEAQP7A/YD8QPsA+cD4wPfA9wD2APVA9ID0APNA8wDygPIA8cDxgPGA8UDxQPFA8UDxgPGA8cDyQPKA8sDzQPPA9ED0wPVA9gD2gPdA98D4gPlA+gD6wPuA/ED9AP3A/sD/gQBBAQECAQLBA4EEQQUBBgEGwQeBCEEJAQnBCkELAQvBDEENAQ2BDkEOwQ9BEAEQgRDBEUERwRJBEoETARNBE4EUARRBFIEUwRUBFQEVQRWBFYEVwRXBFcEWARYBFgEWARYBFgEWARXBFcEVwRXBFYEVgRWBFUEVQRUBFMEUwRSBFIEUQRRBFAEUARPBE8ETgROBE0ETQRMBEwESwRLBEsESgRKBEoESgRKBEoESgRKBEoESgRLBEsESwRMBEwETQROBE4ETwRQBFEEUgRTBFQEVQRWBFcEWQRaBFwEXQRfBGEEYgRkBGYEaARqBGwEbgRwBHIEdAR3BHkEewR9BIAEggSFBIcEiQSMBI4EkQSTBJYEmASbBJ0EoASiBKQEpwSpBKsErgSwBLIEtQS3BLkEuwS9BL8EwQTDBMUExwTJBMsEzATOBNAE0QTTBNQE1QTXBNgE2QTaBNsE3ATdBN4E3wTgBOEE4QTiBOME4wTkBOQE5QTlBOUE5gTmBOcE5wTnBOcE5wToBOgE6AToBOgE6AToBOkE6QTpBOkE6QTqBOoE6gTrBOsE6wTsBOwE7QTtBO4E7gTvBPAE8QTyBPIE9AT1BPYE9wT4BPkE+wT8BP4E/wUBBQMFBAUGBQgFCgUMBQ4FEAUSBRUFFwUZBRwFHgUhBSMFJgUpBSsFLgUxBTMFNgU5BTwFPgVBBUQFRwVJBUwFTwVSBVQFVwVaBVwFXwVhBWQFZgVpBWsFbgVwBXIFdAV2BXgFegV8BX4FfwWBBYIFhAWFBYcFiAWJBYoFiwWMBY0FjgWPBY8FkAWQBZEFkQWSBZIFkgWSBZIFkwWTBZMFkwWTBZMFkwWSBZIFkgWSBZIFkgWSBZIFkgWSBZIFkgWSBZIFkgWTBZMFkwWUBZQFlQWVBZYFlwWYBZgFmgWbBZwFnQWeBaAFoQWjBaQFpgWoBaoFrAWuBbAFswW1BbcFugW9Bb8FwgXFBcgFygXNBdEF1AXXBdoF3QXhBeQF5wXrBe4F8QX1BfgF/AX/BgMGBgYJBg0GEAYUBhcGGwYeBiEGJQYoBisGLgYxBjQGNwY6Bj0GQAZDBkYGSAZLBk4GUAZSBlUGVwZZBlwGXgZgBmIGZAZmBmgGagZsBm0GbwZxBnIGdAZ2BncGeQZ6BnwGfQZ/BoAGggaDBoQGhgaHBokGigaMBo0GjwaRBpIGlAaWBpgGmgabBp0GnwahBqQGpgaoBqoGrQavBrIGtQa3BroGvQbABsMGxgbKBs0G0AbUBtcG2wbeBuIG5gbqBu4G8gb2BvoG/gcCBwcHCwcPBxMHGAccByAHJQcpBy4HMgc2BzoHPwdDB0cHSwdPB1MHVwdbB18HYwdmB2oHbQdxB3QHdwd6B30HgAeCB4UHhweJB4sHjQePB5AHkgeTB5QHlQeWB5YHlweXB5cHlweXB5YHlgeVB5QHkweSB5EHjweOB4wHigeIB4YHhAeCB4AHfQd7B3gHdQdzB3AHbQdqB2cHZAdhB14HWwdYB1QHUQdOB0sHSAdFB0IHPwc8BzkHNwc0BzEHLwcsByoHJwclByMHIQcfBx0HGwcZBxgHFgcVBxMHEgcRBxAHDwcOBw4HDQcNBwwHDAcMBwwHDAcMBwwHDAcNBw0HDgcOBw8HEAcQBxEHEgcTBxQHFQcWBxcHGQcaBxsHHAcdBx8HIAchByIHJAclByYHKAcpByoHKwcsBy4HLwcwBzEHMgczBzQHNQc2BzcHOAc5BzoHOgc7BzwHPAc9Bz4HPgc/Bz8HQAdAB0EHQQdBB0EHQgdCB0IHQgdCB0IHQgdCB0IHQgdCB0IHQgdCB0IHQgdCB0IHQQdBB0EHQQdAB0AHQAdABz8HPwc/Bz4HPgc+Bz0HPQc8BzwHPAc7BzsHOgc6BzoHOQc5BzgHOAc4BzcHNwc2BzYHNQc1BzQHNAczBzMHMgcyBzIHMQcxBzAHMAcvBy8HLgcuBy0HLQctBywHLAcrBysHKgcqByoHKQcpBykHKAcoBygHJwcnBycHJwcmByYHJgcmByYHJQclByUHJQclB2kHagdqB2oHagdrB2sHawdrB2wHbAdsB2wHbAdtB20HbQdtB24HbgduB24HbgduB24HbwdvB28HbwdvB24HbgduB24HbgdtB20HbQdsB2wHawdrB2oHaQdpB2gHZwdmB2UHZAdkB2IHYQdgB18HXgddB1sHWgdZB1cHVgdUB1MHUQdQB04HTAdLB0kHSAdGB0QHQwdBBz8HPgc8BzoHOQc3BzUHNAcyBzEHLwcuBywHKwcpBygHJgclByQHIgchByAHHwceBx0HHAcbBxoHGQcYBxcHFwcWBxUHFQcUBxMHEwcSBxIHEQcRBxEHEAcQBxAHEAcQBw8HDwcPBw8HDwcPBw8HDwcOBw4HDgcOBw4HDgcOBw4HDQcNBw0HDQcMBwwHDAcLBwsHCgcKBwkHCAcIBwcHBgcFBwUHAwcCBwEHAAb/Bv4G/Ab7BvkG+Ab2BvQG8gbxBu8G7QbrBukG5wblBuIG4AbeBtsG2QbWBtQG0QbPBswGygbHBsQGwga/BrwGuQa3BrQGsQauBqwGqQamBqQGoQaeBpwGmQaWBpQGkQaPBowGigaHBoUGgwaABn4GfAZ6BncGdQZzBnEGbwZtBmsGaQZnBmUGYwZhBmAGXgZcBloGWQZXBlUGUwZRBlAGTgZMBkoGSQZHBkUGQwZBBj8GPgY8BjoGOAY2BjQGMgYwBi4GLAYqBigGJQYjBiEGHwYdBhoGGAYVBhMGEQYOBgwGCQYHBgUGAgYABf0F+wX4BfYF8wXwBe4F6wXpBeYF5AXhBd8F3AXaBdcF1QXSBdAFzQXLBckFxgXEBcIFvwW9BbsFuAW2BbQFsQWvBa0FqwWoBaYFpAWiBaAFnQWbBZkFlwWUBZIFkAWOBYsFiQWHBYUFggWABX4FewV5BXYFdAVyBW8FbQVqBWcFZQViBWAFXQVaBVgFVQVSBVAFTQVKBUcFRQVCBT8FPAU6BTcFNAUxBS8FLAUpBSYFJAUhBR4FHAUZBRcFFAUSBQ8FDQUKBQgFBgUEBQEE/wT9BPsE+QT4BPYE9ATyBPEE8ATuBO0E6wTqBOkE6ATnBOYE5QTkBOQE4wTiBOIE4QThBOAE4ATfBN8E3wTfBN4E3gTeBN4E3QTdBN0E3QTcBNwE3ATcBNsE2wTaBNoE2QTYBNgE1wTWBNUE0wTSBNEEzwTOBMwEygTIBMYExATCBL8EvAS6BLcEtASxBK0EqgSmBKMEnwSbBJcEkwSPBIoEhgSCBH0EeQR0BG8EawRmBGIEXQRZBFQEUARLBEcEQwQ/BDsENwQzBDAELQQpBCcEJAQiBCAEHgQcBBsEGgQZBBkEGQQZBBoEGwQcBB4EIAQjBCYEKQQtBDAENQQ5BD8ERARKBFAEVgRdBGQEawRzBHsEgwSLBJQEnQSmBK8EuATBBMsE1ATdBOcE8AT6BQMFDQUWBR8FKAUwBTkFQQVJBVEFWQVgBWcFbQVzBXkFfgWDBYcFiwWPBZIFlAWWBZcFmAWZBZkFmAWXBZUFkwWQBY0FiQWFBYAFewV1BW8FaAVhBVkFUQVJBUAFNwUuBSQFGgUQBQYE+wTwBOUE2gTPBMMEuASsBKEElQSKBH8EcwRoBF0EUgRHBDwEMgQnBB0EFAQKBAED+APvA+cD3wPXA9ADyQPCA7wDtgOxA6wDpwOjA58DmwOYA5UDkwORA48DjgONA4wDiwOLA4wDjAONA44DkAORA5MDlgOYA5oDnQOgA6MDpwOqA64DsQO1A7kDvQPBA8UDyQPOA9ID1gPbA98D4wPnA+wD8AP0A/gD/AQABAQECAQMBBAEEwQXBBoEHgQhBCQEJwQqBC0EMAQyBDUENwQ5BDwEPgRABEIEQwRFBEYESARJBEsETARNBE4ETwRPBFAEUQRRBFIEUgRTBFMEUwRTBFMEUwRTBFMEUwRTBFMEUgRSBFIEUgRRBFEEUARQBE8ETwROBE4ETQRMBEwESwRLBEoESgRJBEgESARHBEcERgRGBEUERQRFBEQERAREBEMEQwRDBEMEQwRDBEMEQwRDBEMERAREBEQERQRFBEYERwRHBEgESQRKBEsETARNBE4ETwRRBFIEUwRVBFYEWARaBFsEXQRfBGEEYwRlBGcEaQRrBG0EbwRyBHQEdgR4BHsEfQSABIIEhASHBIkEjASOBJEEkwSWBJgEmgSdBJ8EogSkBKYEqQSrBK0ErwSyBLQEtgS4BLoEvAS+BMAEwgTEBMYExwTJBMsEzATOBM8E0QTSBNQE1QTWBNcE2ATZBNsE3ATcBN0E3gTfBOAE4AThBOIE4gTjBOME5ATkBOUE5QTmBOYE5gTnBOcE5wToBOgE6AToBOkE6QTpBOkE6gTqBOsE6wTrBOwE7ATtBO0E7gTvBO8E8ATxBPIE8wT0BPUE9gT3BPgE+QT7BPwE/gUABQEFAwUFBQcFCQULBQ0FEAUSBRUFFwUaBRwFHwUiBSUFKAUrBS4FMQU0BTcFOwU+BUEFRQVIBUwFTwVSBVYFWQVdBWAFZAVnBWsFbgVxBXUFeAV7BX4FggWFBYgFiwWNBZAFkwWWBZgFmwWdBZ8FoQWjBaUFpwWpBaoFrAWtBa8FsAWxBbIFswW0BbQFtQW1BbYFtgW2BbYFtgW2BbYFtgW2BbYFtQW1BbQFtAW0BbMFswWyBbEFsQWwBbAFrwWvBa4FrgWtBa0FrAWsBawFrAWsBasFqwWrBawFrAWsBawFrQWtBa4FrwWwBbAFsQWzBbQFtQW3BbgFuQW7Bb0FvwXBBcMFxQXHBckFywXOBdAF0wXVBdgF2wXeBeAF4wXmBekF7AXvBfIF9QX4BfsF/gYBBgQGBwYLBg4GEQYUBhcGGgYdBiAGIwYmBikGLAYvBjEGNAY3BjoGPAY/BkIGRAZHBkkGTAZOBlAGUwZVBlcGWQZcBl4GYAZiBmQGZgZoBmoGbAZuBnAGcgZzBnUGdwZ5BnsGfQZ/BoEGgwaEBoYGiAaKBowGjgaQBpMGlQaXBpkGnAaeBqAGowalBqgGqwauBrEGswa2BroGvQbABsMGxwbKBs4G0gbVBtkG3QbhBuUG6gbuBvIG9wb7BwAHBQcKBw4HEwcYBx0HIgcoBy0HMgc3BzwHQgdHB0wHUgdXB1wHYQdmB2wHcQd2B3sHgAeFB4kHjgeTB5cHnAegB6QHqAesB7AHswe3B7oHvQfAB8MHxgfIB8oHzAfOB9AH0QfSB9QH1QfVB9YH1gfWB9YH1gfVB9UH1AfTB9IH0AfPB84HzAfKB8gHxgfDB8EHvwe8B7kHtwe0B7EHrgerB6gHpQeiB58HnAeYB5UHkgePB4wHiQeGB4QHgQd+B3sHeQd2B3QHcgdvB20HawdpB2cHZgdkB2MHYQdgB18HXgddB1wHXAdbB1sHWgdaB1oHWgdaB1oHWwdbB1sHXAdcB10HXQdeB18HYAdhB2IHYgdjB2QHZQdmB2cHaAdpB2oHawdsB20HbgdvB3AHcQdxB3IHcwdzB3QHdQd1B3YHdgd2B3cHdwd3B3cHeAd4B3gHeAd4B3cHdwd3B3cHdwd2B3YHdgd1B3UHdAd0B3QHcwdzB3IHcgdxB3AHcAdvB28HbgduB20HbQdsB2wHawdrB2sHagdqB2kHaQdpB2kHaAdoB2gHaAdnB2cHZwdnB2cHZwdnB2cHZwdnB2cHZwdnB2cHZwdnB2cHZwdnB2gHaAdoB2gHaAdoB2gHaAdoB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaQdpB2kHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2gHaAdoB2kHaQdpB2kHaQdpB6cHpwenB6gHqAeoB6gHqAepB6kHqQeqB6oHqgerB6sHqwesB6wHrAesB60HrQetB60HrQeuB64HrgeuB64HrQetB60HrQetB6wHrAerB6sHqgepB6kHqAenB6YHpQekB6MHogehB6AHnwedB5wHmweZB5gHlgeVB5MHkgeQB44HjQeLB4kHhweGB4QHggeBB38HfQd8B3oHeAd3B3UHcwdyB3AHbwdtB2wHagdpB2gHZgdlB2QHYwdiB2AHXwdeB10HXAdcB1sHWgdZB1kHWAdXB1cHVgdWB1UHVQdUB1QHVAdUB1MHUwdTB1MHUwdTB1MHUgdSB1IHUgdSB1IHUgdSB1IHUgdSB1IHUgdSB1IHUQdRB1EHUQdQB1AHUAdPB08HTgdOB00HTAdLB0sHSgdJB0gHRwdFB0QHQwdBB0AHPgc8BzsHOQc3BzUHMwcxBy4HLAcqBycHJAciBx8HHAcZBxcHFAcRBw4HCwcHBwQHAQb+BvsG9wb0BvEG7gbqBucG5AbgBt0G2gbXBtQG0QbOBssGyAbFBsIGvwa9BroGtwa1BrMGsAauBqwGqganBqUGpAaiBqAGngacBpsGmQaYBpYGlQaTBpIGkQaQBo4GjQaMBosGiQaIBocGhgaEBoMGggaABn8GfQZ8BnoGeQZ3BnUGcwZxBm8GbQZrBmkGZwZkBmIGXwZdBloGVwZUBlEGTgZLBkgGRQZBBj4GOwY3BjQGMAYtBikGJQYhBh4GGgYWBhMGDwYLBgcGBAYABfwF+AX1BfEF7gXqBecF4wXgBd0F2QXWBdMF0AXNBcoFxwXEBcEFvwW8BbkFtwW0BbIFsAWtBasFqQWnBaUFowWhBZ8FnQWbBZkFlwWWBZQFkgWQBY4FjAWLBYkFhwWFBYMFggWABX4FfAV6BXgFdgVzBXEFbwVtBWsFaAVmBWQFYQVfBVwFWgVXBVUFUgVPBUwFSQVHBUQFQQU+BTsFOAU1BTIFLwUsBSkFJgUjBR8FHAUZBRYFEwUQBQ0FCgUHBQQFAQT+BPsE+AT1BPME8ATtBOsE6ATmBOQE4QTfBN0E2wTZBNcE1QTTBNEE0ATOBM0EywTKBMkEyATHBMYExQTEBMQEwwTDBMIEwgTBBMEEwQTABMAEwATABMAEwAS/BL8EvwS/BL8EvwS+BL4EvgS9BL0EvAS7BLoEuQS4BLcEtgS0BLMEsQSvBK0EqgSoBKUEowSgBJ0EmQSWBJIEjgSKBIYEggR9BHkEdARvBGoEZQRgBFsEVgRQBEsERgRBBDsENgQxBCwEJwQiBB0EGAQUBBAEDAQIBAUEAgP/A/wD+gP4A/YD9QP1A/QD9AP1A/YD9wP5A/sD/gQBBAUECQQNBBIEGAQeBCQEKwQyBDkEQQRJBFIEWwRkBG0EdwSBBIsElQSfBKoEtAS/BMkE1ATeBOgE8wT9BQYFEAUaBSMFKwU0BTwFQwVKBVEFVwVdBWIFZwVrBW4FcQV0BXUFdgV3BXcFdgV1BXIFcAVsBWgFZAVeBVkFUgVMBUQFPAU0BSsFIgUYBQ4FAwT4BO0E4QTWBMoEvgSyBKUEmQSMBIAEcwRnBFoETgRBBDUEKQQeBBIEBwP8A/ID5wPdA9QDygPBA7kDsQOpA6IDmwOVA48DigOFA4ADfAN4A3UDcgNwA24DbQNsA2sDawNrA2sDbANtA24DcANyA3QDdwN6A30DgAODA4YDigOOA5IDlgOaA54DogOnA6sDrwO0A7gDvAPAA8UDyQPNA9ED1QPZA90D4QPlA+gD7APvA/ID9QP4A/sD/gQBBAQEBgQJBAsEDQQPBBEEEwQVBBcEGQQaBBwEHQQfBCAEIQQiBCQEJAQmBCcEKAQoBCkEKgQrBCwELAQtBC0ELgQvBC8EMAQwBDEEMQQyBDIEMwQzBDQENAQ0BDUENQQ1BDUENgQ2BDYENgQ2BDcENwQ3BDcENwQ3BDcENwQ3BDcENwQ3BDcENwQ3BDcENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENgQ2BDYENwQ3BDcEOAQ4BDkEOQQ6BDoEOwQ8BDwEPQQ+BD8EQARBBEIEQwREBEUERwRIBEkESwRMBE4ETwRRBFIEVARWBFcEWQRbBF0EXgRgBGIEZARmBGgEagRsBG4EbwRyBHQEdQR3BHkEewR9BH8EgQSEBIUEiASJBIwEjQSQBJEElASVBJgEmQScBJ0EnwShBKMEpQSnBKkEqwStBK8EsQSzBLUEtgS4BLoEvAS+BMAEwgTDBMUExwTIBMoEzATOBM8E0QTSBNQE1QTXBNgE2gTbBN0E3gTfBOEE4gTjBOQE5gTnBOgE6QTqBOsE7ATtBO8E8ATxBPIE8wT0BPUE9gT3BPgE+QT6BPsE/QT+BP8FAAUBBQMFBAUGBQcFCQUKBQwFDgUQBRIFEwUWBRgFGgUcBR4FIQUjBSYFKQUrBS4FMQU0BTcFOgU9BUEFRAVHBUsFTgVSBVUFWQVdBWAFZAVnBWsFbwVyBXYFegV9BYEFhQWIBYwFjwWTBZYFmQWcBZ8FogWlBagFqwWtBbAFswW1BbcFuQW7Bb0FvwXABcIFwwXFBcYFxwXIBckFyQXKBcsFywXLBcwFzAXMBcwFzAXLBcsFywXLBcoFygXJBckFyAXIBccFxwXGBcUFxQXFBcQFxAXDBcMFwgXCBcIFwQXBBcEFwQXBBcEFwQXCBcIFwgXDBcMFxAXFBcUFxgXHBcgFyQXKBcwFzQXOBdAF0QXTBdQF1gXYBdoF2wXdBd8F4QXjBeUF5wXpBewF7gXwBfIF9AX3BfkF+wX+BgAGAgYFBgcGCQYMBg4GEAYTBhUGGAYaBhwGHwYhBiQGJgYoBisGLQYvBjIGNAY3BjkGOwY+BkAGQgZFBkcGSgZMBk4GUQZTBlYGWAZaBl0GXwZiBmQGZwZpBmwGbgZxBnMGdgZ4BnsGfQaABoMGhQaIBosGjQaQBpMGlQaYBpsGngahBqQGpwaqBq0GsAazBrYGuQa9BsAGwwbHBsoGzgbRBtUG2QbdBuEG5QbpBu0G8Qb2BvoG/gcDBwgHDAcRBxYHGwcgByUHKgcwBzUHOgdAB0UHSwdRB1YHXAdhB2cHbQdzB3gHfgeEB4kHjweUB5oHnwelB6oHrwe0B7kHvgfDB8cHzAfQB9QH2AfcB+AH4wfnB+kH7AfvB/IH9Af2B/gH+Qf7B/wH/Qf+B/4H/gf/B/4H/gf+B/0H/Af7B/oH+Af3B/UH8wfxB+8H7AfqB+gH5QfiB+AH3QfaB9cH1AfRB88HzAfJB8YHwwfAB70Huwe4B7UHswewB64HrAeqB6gHpgekB6IHoQefB54HnQebB5sHmgeZB5gHmAeXB5cHlweXB5cHlweXB5gHmAeYB5kHmgeaB5sHnAedB50HngefB6AHoQeiB6MHpAelB6YHpgenB6gHqQeqB6oHqwesB6wHrQetB64HrgeuB64HrgevB68HrweuB64HrgeuB60HrQetB6wHrAerB6oHqgepB6gHpwenB6YHpQelB6QHoweiB6EHoQegB58HngeeB50HnAecB5sHmweaB5oHmQeZB5kHmQeZB5gHmAeYB5gHmQeZB5kHmQeZB5oHmgebB5sHnAecB50HngeeB58HoAegB6EHogejB6MHpAelB6YHpgenB6gHqQepB6oHqwerB6wHrQetB64HrgeuB68HrwevB68HsAewB7AHsAewB7AHsAewB7AHsAevB68HrwevB68HrgeuB64HrQetB6wHrAesB6sHqwerB6oHqgepB6kHqQeoB6gHqAeoB6gHpwenB6cHpwenB6cHpwenB98H3wffB98H4AfgB+AH4QfhB+EH4gfiB+IH4wfjB+QH5AfkB+UH5QflB+YH5gfmB+YH5gfmB+YH5gfmB+YH5gflB+UH5AfkB+MH4wfiB+EH4QfgB98H3gfdB9wH2wfZB9gH1wfWB9QH0wfSB9AHzwfOB8wHywfJB8gHxgfFB8QHwgfBB78Hvge9B7wHuge5B7gHtwe2B7UHtAezB7IHsQexB7AHrwevB64HrgetB60HrAesB6wHrAerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqwerB6sHqgeqB6oHqQepB6kHqAeoB6cHpgemB6UHpAekB6MHogehB6AHnweeB50HmweaB5gHlweWB5QHkgeQB44HjQeLB4gHhgeEB4IHfwd8B3oHdwd0B3EHbgdrB2gHZQdhB14HWgdXB1MHTwdMB0gHRAdABzwHOAc0BzAHLAcoByMHHwcbBxcHEwcPBwsHBwcDBv8G+wb3BvQG8AbtBukG5gbjBuAG3QbaBtgG1QbTBtAGzgbMBsoGyQbHBsUGxAbDBsIGwQbABr8Gvga+Br0GvQa9BrwGvAa8BrwGvAa8BrwGuwa7BrsGuwa7BrsGuga6BroGuQa4BrcGtwa2BrUGswayBrEGrwatBqsGqQanBqQGogafBpwGmQaVBpIGjgaLBocGgwZ+BnoGdgZxBmwGaAZjBl4GWQZUBk8GSQZEBj8GOgY0Bi8GKQYkBh8GGQYUBg8GCgYFBgAF+wX2BfEF7AXnBeMF3gXaBdYF0gXOBcoFxgXCBb4FuwW4BbQFsQWuBasFqAWlBaMFoAWeBZsFmQWWBZQFkgWQBY4FjAWKBYgFhgWEBYIFgAV+BX0FewV5BXcFdgV0BXIFcAVvBW0FawVpBWcFZQVkBWIFYAVeBVwFWgVYBVUFUwVRBU8FTQVLBUgFRgVEBUEFPwU8BToFNwU1BTIFLwUtBSoFJwUkBSEFHgUbBRkFFgUSBQ8FDAUJBQYFAwUABPwE+QT2BPIE7wTsBOgE5QTiBN8E2wTYBNUE0gTOBMsEyATFBMIEvwS8BLoEtwS0BLIErwStBKsEqQSnBKUEowShBKAEngSdBJwEmwSaBJkEmASYBJcElwSWBJYElgSWBJYElgSWBJYElgSWBJYElgSWBJYElgSWBJYElQSVBJUElASTBJIEkQSQBI4EjQSLBIkEhgSEBIEEfgR7BHgEdARwBGwEaARjBF8EWgRVBFAESgRFBD8EOQQ0BC4EKAQiBBwEFgQRBAsEBQQAA/sD9QPxA+wD5wPjA+AD3APZA9YD1APSA9ED0APQA9AD0APRA9MD1QPYA9sD3gPjA+cD7QPzA/kEAAQHBA8EFwQgBCkEMgQ8BEUEUARaBGUEbwR6BIUEkAScBKYEsQS8BMcE0QTbBOUE7wT4BQEFCQURBRkFIAUmBSwFMQU1BTkFPAU/BUEFQgVCBUIFQQU/BTwFOQU1BTAFKwUlBR4FFwUPBQcE/gT0BOoE4ATVBMoEvgSyBKYEmgSNBIAEcwRmBFkETAQ/BDIEJQQYBAwD/wPzA+gD3APRA8YDvAOxA6gDnwOWA44DhgN+A3gDcQNrA2YDYQNdA1kDVgNTA1ADTwNNA0wDTANLA0wDTANNA04DUANSA1QDVgNZA1wDXwNiA2YDaQNtA3EDdQN5A30DgAOEA4gDjAOQA5QDmAOcA58DowOmA6oDrQOwA7MDtgO5A7wDvgPBA8MDxQPHA8kDywPNA84D0APRA9MD1APVA9YD2APZA9oD2gPbA9wD3QPeA98D4APgA+ED4gPjA+QD5QPmA+YD5wPoA+oD6gPsA+0D7gPvA/AD8gPzA/QD9gP3A/gD+gP7A/wD/gP/BAEEAgQEBAUEBwQIBAoECwQMBA4EDwQQBBEEEgQUBBUEFgQXBBgEGAQZBBoEGwQbBBwEHQQdBB4EHgQeBB8EHwQfBCAEIAQgBCAEIAQgBCAEIAQgBCAEIAQgBCAEIAQhBCEEIQQhBCEEIQQhBCIEIgQiBCMEIwQjBCQEJAQlBCYEJgQnBCgEKQQpBCoEKwQsBC0ELgQvBDAEMQQyBDQENQQ2BDcEOAQ6BDsEPAQ9BD8EQARBBEMERARFBEcESARJBEsETARNBE8EUARRBFMEVARVBFcEWARaBFsEXAReBF8EYQRiBGQEZgRnBGkEawRsBG4EcARyBHQEdgR4BHoEfAR/BIEEgwSFBIgEigSNBJAEkgSVBJgEmgSdBKAEowSmBKkEqwSuBLEEtAS3BLoEvQTABMMExgTJBMwEzwTRBNQE1wTZBNwE3wThBOQE5gToBOsE7QTvBPEE8wT1BPcE+QT7BPwE/gUABQEFAwUFBQYFCAUJBQoFDAUNBQ8FEAUSBRMFFQUWBRgFGQUbBR0FHgUgBSIFJAUmBSgFKgUsBS8FMQUzBTYFOQU8BT4FQQVEBUcFSgVOBVEFVAVYBVsFXwVjBWYFagVuBXIFdgV6BX4FggWGBYoFjgWRBZUFmQWdBaEFpQWoBawFsAWzBbYFugW9BcAFwwXGBckFzAXOBdEF0wXVBdcF2QXbBd0F3gXfBeEF4gXjBeQF5QXlBeYF5gXnBecF5wXnBecF5wXnBecF5wXnBeYF5gXmBeUF5QXkBeQF4wXjBeIF4gXiBeEF4QXhBeAF4AXgBeAF4AXgBeAF4AXgBeAF4AXhBeEF4QXiBeIF4wXkBeQF5QXmBecF5wXpBekF6gXrBewF7gXvBfAF8QXyBfMF9QX2BfcF+AX6BfsF/AX9Bf8GAAYBBgIGBAYFBgYGCAYJBgoGCwYNBg4GDwYRBhIGEwYVBhYGGAYZBhsGHAYeBh8GIQYjBiUGJgYoBioGLAYuBjAGMgY0BjYGOQY7Bj0GQAZCBkUGSAZKBk0GUAZSBlUGWAZbBl4GYQZkBmcGagZtBnAGcwZ2BnkGfAZ/BoIGhQaIBosGjgaSBpUGmAabBp4GoQakBqYGqgasBq8Gsga1BrgGuwa+BsEGxAbHBsoGzgbRBtQG1wbaBt4G4QblBugG7AbwBvQG+Ab8BwAHBAcJBw0HEgcXBxsHIAcmBysHMAc1BzsHQQdGB0wHUgdYB14HZAdqB3AHdgd9B4MHiQePB5YHnAeiB6gHrge0B7kHvwfFB8oHzwfUB9kH3gfjB+cH6wfvB/MH9gf6B/wH/wgCCAQIBggICAkICggLCAwIDQgNCA0IDQgMCAwICwgKCAgIBwgFCAMIAggAB/0H+wf5B/YH9AfxB+8H7AfpB+YH5AfhB94H3AfZB9cH1AfSB9AHzgfLB8kHyAfGB8QHwwfBB8AHvwe+B70HvQe8B7wHuwe7B7sHuwe7B7sHvAe8B70HvQe+B78HwAfBB8EHwgfEB8UHxgfHB8gHyQfKB8sHzAfNB84HzwfQB9EH0gfTB9QH1QfVB9YH1wfXB9gH2AfYB9gH2QfZB9kH2QfZB9kH2QfYB9gH2AfYB9cH1wfWB9YH1QfVB9QH1AfTB9MH0gfRB9EH0AfQB88HzwfOB84HzgfNB80HzQfNB8wHzAfMB8wHzAfMB80HzQfNB80HzgfOB88HzwfQB9EH0gfSB9MH1AfVB9YH1wfYB9kH2gfbB90H3gffB+AH4QfiB+QH5QfmB+cH6AfpB+oH6wfsB+0H7gfvB/AH8AfxB/EH8gfyB/MH8wfzB/MH8wfzB/MH8wfzB/MH8wfyB/IH8QfxB/AH8AfvB+8H7gftB+wH7AfrB+oH6QfpB+gH5wfmB+YH5QfkB+MH4wfiB+IH4QfhB+AH4AfgB98H3wffB98H3wffB98H3wffCB4IHwggCCEIIggjCCMIJAglCCYIJwgoCCgIKQgqCCoIKwgrCCsILAgsCCwILAgsCCwILAgrCCsIKwgqCCoIKQgoCCcIJgglCCQIIwgiCCAIHwgeCBwIGwgZCBgIFggUCBMIEQgQCA4IDAgLCAkICAgGCAQIAwgCCAAH/wf+B/wH+wf6B/kH+Af3B/cH9gf1B/UH9Af0B/QH9AfzB/MH8wf0B/QH9Af0B/UH9Qf2B/YH9wf3B/gH+Qf5B/oH+wf7B/wH/Qf+B/4H/wgACAAIAQgBCAIIAggCCAIIAwgDCAMIAwgDCAMIAggCCAIIAQgBCAAH/wf/B/4H/Qf8B/sH+gf4B/cH9gf0B/MH8QfwB+4H7AfqB+kH5wflB+MH4QffB90H2gfYB9YH0wfRB88HzAfKB8cHxAfBB78HvAe5B7YHswevB6wHqQemB6IHngebB5cHkwePB4sHhweDB38Hegd2B3IHbQdoB2QHXwdaB1YHUQdMB0cHQgc9BzkHNAcvByoHJgchBxwHGAcTBw8HCwcHBwMG/wb8BvgG9QbxBu4G7AbpBuYG5AbiBuAG3gbdBtsG2gbZBtgG1wbXBtYG1gbWBtYG1wbXBtcG2AbZBtkG2gbbBtwG3QbeBt8G4AbhBuEG4gbjBuQG5AblBuUG5QblBuUG5QbkBuQG4wbiBuAG3wbdBtsG2QbXBtQG0QbOBssGyAbEBsAGvAa4BrQGrwaqBqUGoAabBpUGkAaKBoQGfgZ4BnIGbAZmBl8GWQZTBk0GRgZABjoGMwYtBicGIQYbBhUGDwYJBgQF/gX4BfMF7gXpBeMF3gXaBdUF0AXLBccFwwW+BboFtgWyBa4FqwWnBaMFoAWcBZkFlgWSBY8FjAWJBYYFgwWABX0FegV3BXQFcgVvBWwFaQVnBWQFYQVfBVwFWgVXBVUFUgVQBU4FSwVJBUcFRQVDBUAFPgU8BToFOAU2BTQFMgUwBS8FLQUrBSkFJwUmBSQFIgUgBR8FHQUbBRkFFwUVBRMFEgUPBQ0FCwUJBQYFBAUCBP8E/AT6BPcE9ATxBO4E6gTnBOQE4ATdBNkE1QTRBM4EygTGBMIEvgS6BLYEsgSuBKoEpgSiBJ4EmgSWBJMEjwSMBIgEhQSCBIAEfQR7BHgEdgR0BHIEcQRvBG4EbQRsBGwEawRrBGsEawRrBGsEbARsBG0EbgRvBG8EcARxBHIEcwR0BHQEdQR1BHYEdgR2BHYEdQR1BHQEcwRyBHAEbwRtBGoEaARlBGIEXgRaBFYEUgRNBEgEQwQ+BDgEMwQtBCcEIAQaBBQEDQQHBAED+gP0A+4D6APiA9wD1wPSA80DyQPFA8EDvgO7A7kDtwO2A7UDtQO1A7YDuAO6A70DwAPEA8kDzgPUA9oD4QPpA/ED+QQCBAsEFQQfBCkEMwQ+BEkEVARfBGoEdQSABIsElgShBKsEtQS/BMgE0QTZBOEE6ATvBPUE+gT/BQIFBgUIBQoFCwULBQoFCQUGBQME/wT7BPUE7wToBOEE2ATQBMYEvASyBKcEmwSQBIMEdwRqBF0EUARDBDUEKAQbBA0EAAPzA+YD2QPNA8ADtQOpA54DkwOJA38DdgNtA2UDXQNWA1ADSQNEAz8DOgM2AzMDMAMuAywDKgMpAykDKQMpAyoDKwMsAy4DMAMyAzQDNwM6Az0DQANDA0cDSgNNA1EDVANYA1sDXwNiA2UDaQNsA28DcgN1A3cDegN8A34DgQODA4UDhgOIA4oDiwONA44DjwOQA5EDkgOTA5QDlAOVA5YDlgOXA5gDmAOZA5oDmwObA5wDnQOeA58DoAOhA6IDowOkA6YDpwOpA6oDrAOuA7ADsQOzA7UDuAO6A7wDvgPAA8MDxQPIA8oDzAPPA9ED1APWA9kD2wPeA+AD4gPlA+cD6QPrA+0D7wPxA/MD9QP3A/kD+gP8A/0D/gQABAEEAgQDBAQEBQQFBAYEBwQHBAgECAQIBAgECQQJBAkECQQJBAkECQQJBAgECAQIBAgECAQIBAgECAQIBAcEBwQIBAgECAQIBAgECAQJBAkECgQKBAsECwQMBAwEDQQOBA8EEAQRBBIEEwQUBBUEFgQXBBgEGQQbBBwEHQQeBB8EIQQiBCMEJAQlBCYEKAQpBCkEKwQsBC0ELQQuBC8EMAQxBDIEMgQzBDQENQQ1BDYENwQ4BDgEOQQ6BDsEPAQ9BD4EPwRABEEEQgRDBEUERgRIBEoESwRNBE8EUQRTBFYEWARaBF0EXwRiBGUEaARrBG4EcgR1BHgEfASABIMEhwSLBI4EkgSWBJoEngSiBKYEqgSuBLEEtQS5BL0EwQTEBMgEzATPBNME1gTZBN0E4ATjBOYE6QTsBO4E8QT0BPYE+QT7BP0E/wUCBQQFBgUIBQoFDAUOBQ8FEQUTBRUFFwUZBRsFHQUfBSEFIwUlBScFKQUsBS4FMAUzBTYFOAU7BT4FQQVEBUcFSgVOBVEFVQVYBVwFYAVkBWgFbAVwBXQFeAV9BYEFhQWKBY4FkwWXBZsFoAWkBakFrQWxBbYFugW+BcIFxgXKBc4F0gXWBdkF3QXgBeMF5gXpBewF7gXxBfMF9QX3BfkF+wX8Bf4F/wYABgEGAgYCBgMGAwYEBgQGBAYEBgQGAwYDBgMGAgYCBgEGAAYABf8F/gX9Bf0F/AX7BfoF+gX5BfgF9wX3BfYF9gX1BfQF9AX0BfMF8wXzBfMF8wXzBfMF8wXzBfQF9AX0BfUF9QX2BfYF9wX4BfgF+QX6BfsF+wX8Bf0F/gX/Bf8GAAYBBgIGAgYDBgQGBQYFBgYGBwYHBggGCQYJBgoGCwYLBgwGDAYNBg0GDgYPBg8GEAYRBhEGEgYTBhQGFQYWBhcGGAYZBhoGGwYdBh4GIAYhBiMGJQYnBikGKwYtBjAGMgY0BjcGOgY8Bj8GQgZFBkgGSwZOBlIGVQZYBlsGXwZiBmYGaQZsBnAGcwZ2BnoGfQaABoMGhwaKBo0GkAaTBpYGmAabBp4GoAajBqUGqAaqBq0GrwaxBrMGtQa4BroGvAa+BsAGwwbFBscGygbMBs4G0QbUBtcG2gbdBuAG5AbnBusG7wbzBvcG/AcABwUHCgcQBxUHGwchBycHLQczBzoHQQdHB04HVQddB2QHawdzB3oHggeKB5EHmAegB6cHrwe2B70HxAfLB9EH2AfeB+QH6gfvB/QH+Qf+CAIIBggKCA0IEAgTCBUIGAgZCBsIHAgdCB0IHQgdCB0IHAgbCBoIGQgXCBUIEwgRCA8IDAgKCAcIBAgBB/8H/Af5B/YH8wfxB+4H6wfpB+YH5AfiB+AH3gfcB9oH2QfXB9YH1QfUB9MH0wfTB9IH0gfSB9MH0wfTB9QH1QfWB9cH2AfZB9oH3AfdB94H4AfhB+MH5AfmB+gH6QfrB+wH7gfwB/EH8gf0B/UH9wf4B/kH+gf7B/wH/Qf+B/8IAAgBCAEIAggDCAMIBAgECAQIBQgFCAUIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAYIBggGCAcIBwgHCAcIBwgHCAgICAgICAkICQgJCAoICggLCAsIDAgMCA0IDQgOCA8IDwgQCBEIEQgSCBMIEwgUCBUIFggWCBcIGAgYCBkIGggaCBsIGwgcCBwIHQgdCB0IHggeCB4IHggeCB4IHggeCB4IHggeCB4IHggdCB0IHQgcCBwIGwgbCBsIGggaCBkIGQgYCBgIFwgXCBYIFggWCBUIFQgVCBQIFAgUCBQIFAgUCBQIFAgUCBUIFQgVCBYIFggXCBcIGAgZCBkIGggbCBwIHAgdCGgIaghsCG0IbghwCHEIcwh0CHUIdgh3CHcIeAh4CHkIeQh5CHkIeQh5CHkIeQh4CHgIdwh2CHUIdAhzCHIIcQhwCG4IbQhrCGoIaAhnCGUIYwhhCGAIXghcCFsIWQhXCFUIVAhSCFAITwhNCEwISghJCEcIRghFCEQIQghBCEAIPwg/CD4IPQg9CDwIPAg8CDsIOwg7CDsIOwg7CDsIPAg8CDwIPAg9CD0IPgg+CD8IQAhACEEIQQhCCEMIQwhECEQIRAhFCEUIRQhFCEYIRghFCEUIRQhFCEQIRAhDCEIIQQhACD8IPgg9CDsIOgg4CDYINAgyCDAILggsCCoIJwglCCMIIAgdCBsIGAgVCBMIEAgNCAoIBwgFCAIH/wf8B/kH9wf0B/EH7gfrB+kH5gfjB+AH3QfaB9gH1QfSB88HzAfJB8YHwwfAB70HuQe2B7MHrwesB6gHpAegB50HmQeVB5AHjAeIB4QHfwd7B3YHcQdsB2gHYwdeB1kHVAdPB0oHRQdABzsHNwcyBy0HKAckBx8HGwcXBxIHDgcKBwcHAwcABv0G+gb3BvQG8gbvBu0G7AbqBugG5wbmBuUG5QbkBuQG5AbkBuQG5AbkBuUG5gbmBucG6AbpBuoG6wbsBu0G7QbuBu8G8AbxBvEG8gbyBvIG8gbyBvIG8gbxBvEG8AbvBu0G7AbqBugG5gbjBuEG3gbbBtgG1AbQBs0GyAbEBsAGuwa2BrIGrAanBqIGnAaXBpEGiwaGBoAGegZ0Bm4GaAZiBlwGVgZQBkoGRAY+BjgGMgYtBicGIQYcBhYGEQYMBgcGAQX8BfcF8wXuBekF5AXgBdsF1wXSBc4FygXGBcEFvQW5BbUFsQWtBakFpQWhBZ0FmQWVBZEFjQWJBYUFgQV9BXkFdgVyBW4FagVmBWIFXgVbBVcFUwVQBUwFSQVFBUIFPwU8BTkFNgUzBTEFLgUrBSkFJwUlBSMFIQUfBR0FHAUaBRkFFwUWBRUFFAUTBRIFEQUQBQ8FDgUNBQsFCgUJBQgFBwUFBQQFAgUBBP8E/QT7BPgE9gTzBPEE7gTrBOcE5ATgBNwE2QTUBNAEzATIBMMEvgS6BLUEsASrBKYEoQScBJcEkgSOBIkEhASABHsEdwRzBG8EawRoBGQEYQReBFsEWQRXBFUEUwRSBFEEUARPBE8ETgROBE8ETwRQBFAEUQRSBFMEVQRWBFcEWQRaBFsEXQReBF8EYARhBGEEYgRiBGIEYgRhBGAEXwReBFwEWgRYBFUEUgROBEsERwRCBD0EOAQzBC0EKAQhBBsEFQQOBAcEAAP5A/ID7APlA94D1wPRA8sDxQO/A7kDtAOwA6wDqAOlA6IDoAOeA50DnQOdA54DoAOiA6UDqAOtA7EDtwO9A8QDywPTA9wD5APuA/cEAgQMBBcEIgQtBDgEQwROBFoEZQRwBHsEhQSPBJkEogSrBLMEuwTCBMkEzwTTBNgE2wTeBOAE4QThBOAE3gTcBNgE1ATPBMkEwwS7BLMEqgShBJcEjASBBHUEaQRcBFAEQwQ1BCgEGgQMA/8D8QPjA9YDyQO8A68DowOXA4sDgAN1A2sDYQNYA08DRwM/AzgDMQMrAyYDIQMdAxkDFgMUAxIDEAMPAw4DDgMOAw4DDwMQAxEDEgMUAxYDGAMaAxwDHwMhAyQDJgMpAysDLQMwAzIDNAM2AzgDOgM8Az4DPwNBA0IDRANFA0YDRwNIA0kDSgNKA0sDTANMA00DTgNOA08DUANQA1EDUgNTA1QDVQNWA1cDWQNaA1wDXQNfA2EDYgNlA2cDaQNrA20DcANzA3UDeAN7A34DgQOEA4cDigONA5ADkwOWA5oDnQOgA6MDpgOqA60DsAOzA7YDuQO8A78DwgPEA8cDygPMA88D0QPUA9YD2APaA9wD3gPgA+ID4wPlA+cD6APpA+sD7APtA+4D7wPvA/AD8QPxA/ID8gPzA/MD8wPzA/MD8wPzA/MD8wPzA/MD8wPzA/MD8gPyA/ID8gPyA/ED8QPxA/ED8QPxA/ED8QPxA/ED8QPxA/ED8gPyA/ID8wPzA/QD9QP1A/YD9wP3A/gD+QP6A/sD/AP9A/4D/wQABAEEAgQDBAMEBAQFBAYEBwQIBAkECgQLBAsEDAQNBA0EDgQPBA8EEAQQBBEEEQQSBBIEEwQTBBQEFAQVBBUEFgQXBBgEGAQZBBoEGwQcBB0EHwQgBCEEIwQlBCYEKAQqBC0ELwQxBDQENgQ5BDwEPwRCBEYESQRNBFAEVARYBFwEYARkBGgEbARwBHUEeQR9BIIEhgSLBI8EkwSYBJwEoASlBKkErQSxBLUEuQS9BMEExATIBMwEzwTTBNYE2QTdBOAE4wTmBOkE7ATuBPEE9AT2BPkE/AT+BQEFAwUFBQgFCgUNBQ8FEgUUBRcFGQUcBR4FIQUkBScFKgUsBS8FMgU2BTkFPAU/BUMFRgVKBU0FUQVVBVkFXAVgBWQFaQVtBXEFdQV6BX4FggWHBYsFjwWUBZgFnQWhBaYFqgWvBbMFtwW8BcAFxAXIBcwF0AXUBdgF2wXfBeIF5gXpBewF7wXyBfQF9wX5BfsF/gX/BgEGAwYEBgUGBwYIBggGCQYKBgoGCgYKBgoGCgYKBgoGCQYJBggGBwYHBgYGBQYEBgMGAgYBBf8F/gX9BfwF+wX6BfkF+AX3BfYF9QX0BfMF8wXyBfIF8QXxBfAF8AXwBfAF8AXwBfAF8AXxBfEF8gXyBfMF8wX0BfUF9gX2BfcF+AX5BfoF+wX8Bf0F/gX/BgAGAQYCBgMGBAYFBgYGBwYIBggGCQYKBgsGDAYMBg0GDgYPBg8GEAYRBhEGEgYTBhQGFAYVBhYGFwYYBhgGGQYbBhwGHQYeBiAGIQYjBiQGJgYoBioGLAYuBjAGMgY1BjcGOgY9BkAGQwZGBkkGTAZPBlMGVgZZBl0GYQZkBmgGawZvBnMGdgZ6Bn0GgQaEBogGiwaOBpIGlQaYBpsGnQagBqMGpQaoBqoGrQavBrEGswa1BrcGuAa6BrwGvga/BsEGwwbEBsYGyAbKBswGzgbQBtIG1QbXBtoG3QbgBuQG5wbrBu8G9Ab4Bv4HAwcIBw4HFAcbByEHKAcwBzcHPwdHB08HVwdgB2kHcgd7B4QHjQeWB6AHqQeyB7wHxQfOB9cH3wfoB/AH+AgACAcIDwgVCBwIIggoCC0IMgg2CDoIPQhBCEMIRQhHCEgISQhKCEoISQhICEcIRQhECEEIPwg8CDkINggzCC8IKwgoCCQIIAgcCBgIFAgQCAwICQgFCAEH/gf7B/gH9QfzB/AH7gfsB+oH6QfoB+cH5gfmB+YH5gfmB+YH5wfoB+kH6gfrB+0H7gfwB/IH9Af2B/gH+gf8B/8IAQgDCAUICAgKCAwIDwgRCBMIFQgXCBkIGwgdCB4IIAgiCCMIJQgmCCgIKQgqCCwILQguCC8IMAgxCDIIMwg0CDQINQg2CDcIOAg5CDkIOgg7CDsIPAg9CD0IPgg+CD8IQAhACEEIQQhCCEIIQwhDCEQIRAhECEUIRQhFCEUIRghGCEYIRghGCEcIRwhHCEcIRwhHCEcIRwhHCEcIRwhHCEYIRghGCEYIRghGCEYIRghFCEUIRQhFCEUIRQhECEQIRAhECEMIQwhDCEMIQghCCEIIQQhBCEEIQAhACD8IPwg+CD4IPgg9CD0IPAg8CDwIOwg7CDsIOgg6CDoIOgg5CDkIOQg5CDkIOgg6CDoIOgg7CDsIPAg9CD0IPgg/CEAIQQhCCEQIRQhGCEgISQhLCE0ITghQCFIIVAhWCFcIWQhbCF0IXwhhCGMIZQhmCKsIrAiuCK8IsAixCLIIswi0CLQItQi1CLUItQi1CLQItAizCLMIsgixCLAIrwiuCK0IrAirCKoIqQinCKYIpQikCKIIoQigCJ8IngidCJwImwiaCJkImQiYCJcIlwiWCJYIlQiVCJQIlAiUCJMIkwiTCJIIkgiSCJIIkgiSCJEIkQiRCJEIkQiQCJAIkAiQCJAIjwiPCI8IjgiOCI4IjQiNCI0IjAiMCIsIiwiKCIkIiQiICIgIhwiGCIUIhQiECIMIggiBCH8Ifgh9CHwIegh5CHcIdQh0CHIIcAhuCGwIaQhnCGUIYghfCF0IWghXCFQIUQhNCEoIRwhECEAIPQg5CDYIMggvCCsIKAgkCCEIHQgaCBYIEwgPCAwICQgFCAIH/wf8B/kH9gfzB/EH7gfrB+kH5gfjB+EH3gfcB9kH1wfVB9IH0AfNB8sHyAfGB8MHwAe+B7sHuAe1B7IHrwesB6gHpQehB54HmgeWB5IHjgeKB4UHgQd9B3gHcwdvB2oHZQdhB1wHVwdSB00HSQdEBz8HOgc2BzEHLQcoByQHIAccBxgHFAcQBw0HCgcGBwMHAAb+BvsG+Ab2BvQG8gbwBu8G7QbsBusG6QbpBugG5wbmBuYG5QblBuQG5AbkBuQG4wbjBuMG4wbjBuIG4gbhBuEG4AbgBt8G3gbdBtwG2wbaBtkG1wbVBtQG0QbPBs0GywbIBsUGwga/BrwGuQa1BrIGrgaqBqYGogadBpkGlAaQBosGhgaBBnwGdwZyBm0GaAZjBl4GWQZUBk8GSQZEBj8GOgY2BjEGLAYnBiIGHgYZBhUGEAYMBggGBAX/BfsF+AX0BfAF7AXoBeUF4QXeBdoF1gXTBdAFzAXJBcUFwQW+BboFtwWzBbAFrAWoBaQFoAWdBZkFlQWRBY0FiQWFBYEFfAV4BXQFcAVsBWgFZAVgBVwFWAVUBVAFTQVJBUYFQgU/BTwFOQU2BTMFMQUvBSwFKgUoBSYFJAUjBSEFIAUfBR0FHAUbBRoFGQUYBRcFFgUVBRQFEwUSBREFEAUOBQ0FCwUJBQgFBQUDBQEE/gT7BPgE9QTyBO4E6gTmBOIE3gTZBNUE0ATLBMYEwAS7BLYEsASrBKUEoASaBJUEjwSJBIQEfwR5BHQEbwRrBGYEYgRdBFkEVgRSBE8ETARJBEYERARCBEAEPgQ9BDwEOwQ7BDoEOgQ6BDoEOwQ7BDwEPQQ9BD4EPwRABEEEQgRDBEMERARFBEUERQRFBEUERQREBEMEQgRABD8EPQQ6BDcENAQxBC0EKQQkBB8EGgQVBA8ECQQDA/0D9gPvA+gD4QPaA9MDzAPFA74DtwOxA6oDpAOeA5kDkwOPA4oDhgODA4EDfgN9A3wDfAN8A30DfwOCA4UDiQOOA5MDmQOgA6cDrwO3A8ADygPUA94D6QP0A/8ECgQWBCEELQQ4BEQETwRaBGQEbwR4BIIEigSSBJoEoASmBKsEsASzBLYEtwS4BLgEtwS1BLIErgSpBKMEnQSWBI0EhAR7BHEEZgRaBE4EQgQ1BCgEGwQNBAAD8gPkA9YDyQO7A64DoQOUA4gDewNwA2UDWgNQA0cDPgM1Ay0DJgMfAxkDFAMPAwoDBgMDAwAC/gL8AvsC+QL5AvgC+AL4AvkC+QL6AvsC/AL9Av4C/wMAAwEDAgMEAwQDBQMGAwcDBwMIAwgDCAMIAwgDCAMIAwgDBwMHAwcDBgMGAwYDBQMFAwUDBQMFAwUDBQMGAwYDBwMIAwkDCgMMAw4DDwMSAxQDFgMZAxwDHwMiAyYDKQMtAzADNAM4AzwDQANFA0kDTQNRA1YDWgNeA2IDZwNrA28DcwN2A3oDfgOCA4UDiAOLA48DkgOUA5cDmgOcA58DoQOjA6YDqAOqA6wDrgOvA7EDswO0A7YDuAO5A7sDvAO+A78DwQPCA8QDxQPHA8gDyQPLA8wDzgPPA9AD0gPTA9QD1QPWA9gD2QPaA9sD3APdA94D3wPfA+AD4QPiA+ID4wPjA+QD5APkA+UD5QPlA+UD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPlA+UD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPmA+YD5gPnA+cD5wPnA+cD5wPoA+gD6APpA+kD6QPqA+oD6wPrA+wD7APtA+4D7wPwA/ED8gPzA/UD9gP4A/kD+wP9A/8EAQQEBAYECQQLBA4EEQQUBBgEGwQfBCIEJgQqBC4EMgQ2BDoEPwRDBEgETARRBFYEWgRfBGQEaARtBHIEdwR8BIAEhQSKBI4EkwSXBJwEoASkBKkErQSxBLUEuQS9BMAExATIBMsEzwTSBNUE2ATcBN8E4gTlBOgE6wTuBPEE9AT2BPkE/AT/BQIFBAUHBQoFDQUQBRMFFgUYBRsFHgUhBSQFJwUqBS4FMQU0BTcFOgU9BUAFRAVHBUoFTQVRBVQFVwVaBV4FYQVkBWcFawVuBXEFdAV3BXsFfgWBBYQFhwWLBY4FkQWUBZcFmgWdBaAFowWmBakFrAWvBbEFtAW3BboFvQW/BcIFxQXHBcoFzAXOBdEF0wXVBdcF2QXbBd0F3wXhBeIF5AXlBeYF5wXpBeoF6wXrBewF7QXtBe4F7gXuBe4F7gXuBe4F7gXuBe4F7QXtBe0F7AXsBesF6wXrBeoF6gXqBekF6QXpBekF6AXoBegF6AXoBekF6QXpBeoF6gXrBesF7AXtBe4F7wXwBfEF8gX0BfUF9gX4BfkF+wX8Bf4GAAYBBgMGBQYHBggGCgYMBg0GDwYRBhIGFAYVBhcGGAYaBhsGHQYeBiAGIQYiBiMGJAYlBicGKAYpBioGKwYsBi0GLgYvBjAGMQYyBjMGNAY1BjcGOAY5BjoGPAY9Bj8GQQZCBkQGRgZIBkoGTQZPBlEGVAZWBlkGXAZfBmIGZQZoBmsGbwZyBnYGeQZ9BoEGhAaIBowGkAaTBpcGmwaeBqIGpgapBq0GsAazBrcGuga9BsAGwwbGBskGywbOBtAG0wbVBtcG2gbcBt4G4AbjBuUG5wbpBuwG7gbxBvMG9gb5BvwG/wcDBwcHCwcPBxQHGQceByMHKQcvBzYHPAdEB0sHUwdbB2QHbAd1B38HiAeSB5wHpwexB7wHxwfRB9wH5wfyB/wIBwgSCBwIJggwCDkIQwhLCFQIXAhjCGsIcQh3CH0IggiGCIoIjQiQCJIIkwiUCJQIlAiTCJEIjwiNCIoIhgiCCH4IeQh0CG8IaQhkCF4IWAhSCEwIRQg/CDkIMwgtCCcIIggcCBcIEwgOCAoIBggCB/8H/Af5B/cH9Qf0B/MH8gfyB/IH8gfyB/MH9Af2B/cH+Qf7B/0IAAgCCAUICAgLCA0IEAgTCBYIGQgcCB8IIgglCCgIKggtCDAIMgg0CDcIOQg7CD0IPwhBCEMIRQhGCEgISghLCE0ITghPCFEIUghTCFUIVghXCFgIWghbCFwIXQheCGAIYQhiCGMIZAhmCGcIaAhpCGoIawhsCG0IbghvCHAIcAhxCHIIcwhzCHQIdQh1CHYIdgh3CHcIdwh4CHgIeAh5CHkIeQh5CHoIegh6CHoIegh7CHsIewh7CHwIfAh8CHwIfAh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfAh8CHsIewh6CHoIeQh5CHgIdwh3CHYIdgh1CHQIdAhzCHIIcghxCHEIcAhwCHAIbwhvCG8IbwhwCHAIcAhxCHIIcwh0CHUIdgh3CHkIegh8CH4IgAiBCIQIhgiICIoIjQiPCJEIlAiWCJgImwidCJ8IoQijCKUIpwipCNoI2wjbCNwI3AjdCN0I3AjcCNwI2wjaCNkI2AjXCNYI1QjTCNII0QjPCM4IzAjLCMoIyAjHCMYIxQjFCMQIwwjDCMMIwwjDCMMIxAjFCMYIxwjICMkIygjMCM4IzwjRCNMI1QjXCNkI2wjdCN8I4QjjCOQI5gjoCOkI6wjsCO0I7gjuCO8I7wjwCPAI8AjvCO8I7gjtCOwI6wjqCOkI5wjmCOQI4gjgCN4I3AjaCNcI1QjTCNAIzgjLCMkIxgjDCMEIvgi7CLkItgizCLAIrQiqCKcIpAihCJ4ImwiYCJUIkQiOCIsIhwiECIAIfQh5CHUIcQhuCGoIZghiCF4IWghWCFIITghKCEYIQgg+CDoINggyCC4IKggmCCMIHwgbCBgIFQgRCA4ICwgICAUIAgf/B/wH+Qf2B/QH8QfuB+wH6QfnB+QH4QffB9wH2QfXB9QH0QfOB8sHyAfFB8IHvwe8B7gHtQexB64HqgemB6IHngeaB5YHkQeNB4gHhAd/B3sHdgdxB20HaAdjB14HWgdVB1AHSwdHB0IHPQc5BzQHMAcrBycHIwcfBxsHFwcTBw8HCwcIBwQHAQb9BvoG9wb0BvEG7gbrBugG5gbjBuEG3gbcBtoG2AbWBtMG0QbPBs0GywbKBsgGxgbEBsIGwAa/Br0Guwa5BrcGtga0BrIGsAauBqwGqgaoBqYGpAaiBqAGnQabBpkGlgaTBpEGjgaLBogGhQaCBn8GewZ4BnQGcAZtBmkGZQZhBlwGWAZUBlAGSwZHBkIGPgY5BjQGMAYrBiYGIgYdBhkGFAYQBgsGBwYDBf8F+wX3BfMF7wXsBegF5QXiBd4F2wXYBdUF0wXQBc0FywXIBcYFxAXBBb8FvQW6BbgFtgWzBbEFrwWsBaoFpwWlBaIFnwWcBZoFlwWTBZAFjQWKBYcFgwWABXwFeQV1BXIFbgVrBWcFZAVgBV0FWgVWBVMFUAVNBUoFRwVFBUIFQAU9BTsFOQU3BTQFMwUxBS8FLQUrBSoFKAUnBSUFIwUiBSAFHgUcBRoFGQUWBRQFEgUPBQ0FCgUHBQQFAQT9BPoE9gTyBO4E6gTlBOEE3ATXBNIEzQTIBMIEvQS3BLIErASnBKEEmwSWBJAEigSFBH8EegR1BG8EagRlBGAEXARXBFMETgRKBEYEQwQ/BDwEOAQ1BDMEMAQtBCsEKQQnBCUEJAQjBCEEIAQfBB8EHgQdBB0EHQQcBBwEHAQcBBwEHAQcBBwEHAQcBBsEGwQbBBoEGQQYBBcEFgQUBBMEEQQOBAwECQQGBAID/wP7A/YD8gPtA+gD4gPdA9cD0QPKA8QDvQO2A7ADqQOiA5sDlAOOA4cDgQN7A3UDcANrA2YDYgNeA1sDWQNXA1UDVQNVA1YDVwNZA1wDYANlA2oDcAN2A30DhQOOA5cDoAOqA7QDvwPKA9UD4QPsA/gEAwQPBBoEJQQvBDkEQwRMBFUEXQRkBGoEcAR1BHgEewR9BH4EfgR9BHsEeAR0BG8EagRjBFsEUwRKBEAENQQqBB4EEgQFA/gD6wPeA9ADwgO0A6cDmQOMA38DcgNmA1oDTgNDAzgDLwMlAxwDFAMNAwYC/wL6AvUC8ALsAukC5gLjAuEC4ALfAt4C3QLdAt0C3QLeAt4C3gLfAt8C4ALgAuAC4QLhAuEC4ALgAt8C3gLeAtwC2wLaAtgC1wLVAtMC0QLQAs4CzALKAskCxwLGAsUCwwLDAsICwgLCAsICwwLEAsUCxwLJAssCzgLRAtQC1wLbAuAC5ALpAu0C8wL4Av0DAwMIAw4DFAMaAx8DJQMrAzADNgM7A0ADRQNJA04DUgNWA1oDXgNhA2QDZwNqA2wDbgNwA3IDdAN1A3YDdwN4A3kDegN7A3sDfAN9A30DfgN+A38DgAOBA4IDgwOEA4UDhwOIA4oDjAONA48DkgOUA5YDmQObA54DoQOkA6cDqgOsA7ADswO2A7kDvAO/A8IDxQPHA8oDzQPPA9ID1APXA9kD2wPdA94D4APiA+MD5APlA+YD5wPoA+gD6QPpA+kD6gPqA+oD6QPpA+kD6APoA+cD5wPmA+UD5APkA+MD4gPhA+AD3wPeA94D3QPcA9sD2gPZA9gD2APXA9YD1QPVA9QD1APTA9MD0wPTA9ID0gPSA9MD0wPTA9QD1APVA9YD1wPYA9kD2gPcA90D3wPhA+MD5QPnA+oD7QPvA/ID9QP5A/wEAAQDBAcECwQPBBMEGAQcBCEEJQQqBC8ENAQ5BD0EQwRIBE0EUgRXBFwEYQRnBGwEcQR2BHsEgASEBIkEjgSTBJcEnASgBKUEqQStBLEEtgS5BL0EwQTFBMgEzATQBNME1gTaBN0E4ATkBOcE6gTtBPAE8wT2BPkE/QUABQMFBgUJBQwFDwUSBRUFGQUcBR8FIgUlBSgFKwUvBTIFNQU4BTsFPgVABUMFRgVJBUsFTgVQBVMFVQVXBVkFWwVdBV8FYAViBWQFZQVmBWcFaQVqBWsFbAVsBW0FbgVvBXAFcAVxBXIFcwVzBXQFdQV2BXcFeAV5BXoFewV8BX4FfwWBBYIFhAWGBYcFiQWLBY0FjwWRBZMFlgWYBZoFnAWfBaEFowWmBagFqgWsBa8FsQWzBbUFtwW5BbsFvQW/BcEFwwXEBcYFyAXJBcoFzAXNBc8F0AXRBdMF1AXVBdYF2AXZBdoF2wXdBd4F4AXhBeIF5AXmBecF6QXrBewF7gXwBfIF9AX2BfgF+gX9Bf8GAQYEBgYGCAYLBg0GEAYSBhUGFwYaBhwGHwYhBiQGJgYoBisGLQYvBjEGNAY2BjgGOgY7Bj0GPwZBBkIGRAZGBkcGSAZKBksGTAZNBk4GTwZQBlEGUgZSBlMGVAZUBlUGVgZWBlcGWAZYBlkGWQZaBlsGWwZcBl0GXgZfBmAGYgZjBmQGZgZoBmkGawZtBnAGcgZ0BncGegZ9BoAGgwaGBooGjQaRBpUGmQadBqEGpQaqBq4Gswa3BrwGwAbFBskGzgbTBtcG3AbgBuUG6QbtBvIG9gb6Bv4HAgcGBwoHDgcSBxYHGQcdByEHJQcpBy0HMQc1BzkHPQdCB0YHSwdQB1UHWwdhB2YHbQdzB3oHgQeJB5EHmQehB6oHswe9B8YH0AfbB+UH8Af7CAYIEQgcCCgIMwg+CEoIVQhgCGsIdQiACIoIkwidCKUIrgi1CLwIwwjJCM4I0wjXCNoI3QjfCOAI4AjgCN8I3QjaCNcI0wjPCMoIxAi+CLgIsQipCKEImQiRCIkIgAh4CG8IZgheCFUITQhFCD0INQguCCcIIAgaCBQIDwgKCAUIAQf+B/sH+Af2B/UH9AfzB/MH8wfzB/QH9gf3B/kH+wf+CAEIAwgGCAoIDQgQCBMIFwgbCB4IIgglCCgILAgvCDIINQg5CDwIPghBCEQIRghJCEsITghQCFIIVAhWCFgIWghcCF4IXwhhCGMIZAhmCGcIaQhrCGwIbQhvCHAIcghzCHQIdgh3CHgIeQh6CHwIfQh+CH8IgAiBCIEIggiDCIQIhQiGCIcIhwiICIkIigiKCIsIjAiNCI4IjwiQCJEIkwiUCJYIlwiZCJsInAieCKAIowilCKcIqQisCK8IsQi0CLcIuQi8CL8IwQjECMcIyQjMCM4I0QjTCNUI1wjYCNoI2wjcCN0I3gjfCN8I4AjgCN8I3wjeCN0I3AjbCNoI2QjXCNUI0wjSCNAIzQjLCMoIyAjFCMQIwgjACL4IvQi7CLoIuQi4CLcItwi2CLYItgi2CLcItwi4CLkIugi7CL0IvgjACMEIwwjFCMcIyQjLCMwIzgjQCNII0wjVCNYI2AjZCQMJBAkECQQJBQkFCQUJBAkECQMJAgkBCP8I/gj9CPsI+gj4CPYI9QjzCPII8AjvCO4I7QjsCOsI6wjrCOsI6wjsCO0I7gjwCPEI8wj2CPgI+wj+CQEJBAkICQwJDwkTCRcJGwkfCSMJJwkrCS4JMgk1CTgJOwk+CUAJQglECUYJRwlICUkJSglKCUoJSQlICUcJRglECUIJQAk+CTwJOQk2CTMJMAktCSkJJgkiCR8JGwkXCRQJEAkMCQkJBQkBCP4I+gj2CPMI8AjsCOgI5QjiCN4I2wjXCNMI0AjMCMkIxQjCCL4Iugi2CLIIrgiqCKYIogieCJoIlQiRCI0IiAiECH8Iewh2CHEIbQhoCGQIXwhbCFcIUghOCEoIRQhBCD0IOQg1CDEILQgpCCUIIQgdCBoIFggSCA8ICwgHCAMIAAf8B/gH9AfxB+0H6QflB+EH3QfZB9UH0AfMB8cHwwe+B7oHtQewB6sHpgehB5wHlweSB40HiAeDB34HeQdzB24HaQdkB18HWgdVB1AHSwdGB0EHPAc3BzIHLgcpByUHIAccBxgHEwcPBwsHBwcDBv8G+wb3BvMG7wbrBugG5AbgBt0G2QbVBtIGzgbKBscGwwbABrwGuQa1BrIGrgarBqgGpAahBp4GmwaYBpUGkgaPBowGiQaGBoMGgQZ+BnwGeQZ3BnQGcgZwBm4GbAZqBmgGZQZjBmEGXwZdBlsGWQZXBlUGUwZRBk4GTAZJBkcGRAZBBj4GOwY4BjQGMQYtBikGJQYhBh0GGQYVBhAGDAYHBgIF/gX5BfQF7wXrBeYF4QXdBdgF1AXQBcsFxwXDBb8FvAW4BbUFsgWvBawFqQWmBaQFoQWfBZ0FmwWZBZgFlgWUBZMFkQWQBY4FjAWLBYkFiAWGBYQFgwWBBX8FfQV7BXkFdgV0BXIFbwVsBWoFZwVkBWIFXwVcBVkFVwVUBVEFTwVMBUkFRwVFBUIFQAU+BTwFOgU4BTYFNAUzBTEFLwUuBSwFKwUpBSgFJgUkBSMFIQUfBR0FGwUZBRYFEwURBQ4FCwUHBQQFAAT8BPgE9ATvBOsE5gThBNwE1wTRBMwExgTBBLsEtQSvBKoEpASeBJkEkwSNBIgEggR9BHgEcwRuBGkEZARfBFsEVgRSBE4ESgRGBEIEPgQ7BDcENAQxBC0EKgQnBCQEIQQfBBwEGQQWBBQEEQQPBAwECgQIBAYEAwQCBAAD/gP8A/sD+QP4A/YD9QP0A/MD8gPyA/ED8APwA+8D7wPuA+4D7QPtA+wD6wPrA+oD6QPnA+YD5APiA+AD3gPbA9gD1QPRA80DyQPFA8ADugO1A68DqQOjA5wDlgOPA4gDgQN6A3MDbANlA18DWANSA0wDRwNCAz4DOgM3AzQDMgMwAzADMAMxAzMDNQM5Az0DQgNHA04DVQNcA2UDbgN3A4EDiwOWA6EDrAO3A8IDzgPZA+MD7gP4BAIECwQTBBsEIgQoBC4EMgQ2BDkEOgQ7BDoEOQQ2BDIELgQoBCEEGgQRBAgD/gP0A+gD3QPQA8QDtgOpA5sDjgOAA3MDZQNYA0sDPwMzAycDHAMRAwcC/gL1Au0C5QLeAtgC0wLOAsoCxwLEAsECvwK+Ar0CvQK8Ar0CvQK9Ar4CvwK/AsACwQLCAsICwgLDAsMCwgLCAsECwAK/Ar0CuwK5ArcCtQKyAq8CrAKqAqcCpAKhAp4CmwKZApcClQKTApECkAKPAo8CjwKPApACkQKTApUCmAKbAp8CowKoAqwCsgK3Ar0CwwLKAtAC1wLeAuUC7ALzAvoDAQMIAw4DFQMbAyEDJwMsAzEDNgM7Az8DQgNGA0kDSwNOA1ADUQNTA1QDVANVA1UDVQNVA1UDVQNUA1QDUwNTA1IDUgNRA1EDUQNRA1EDUgNSA1MDVANVA1cDWANbA10DXwNiA2UDaANrA24DcgN2A3oDfgOCA4YDiwOPA5MDmAOcA6EDpQOqA64DsgO2A7oDvgPCA8YDyQPNA9AD0wPVA9gD2wPdA98D4QPjA+UD5gPnA+kD6gPrA+sD7APsA+0D7QPtA+0D7QPtA+wD7APsA+sD6wPqA+kD6QPoA+cD5gPmA+UD5APjA+MD4gPhA+AD4APfA94D3gPdA90D3QPcA9wD3APcA9wD3APcA9wD3QPdA94D3gPfA+AD4QPiA+MD5QPmA+gD6gPrA+4D8APyA/QD9wP5A/wD/wQCBAUECAQLBA8EEgQVBBkEHQQhBCQEKQQtBDEENQQ5BD0EQQRGBEoETgRTBFcEWwRgBGQEaQRtBHIEdgR6BH8EgwSHBIwEkASUBJgEnQShBKUEqQStBLEEtQS4BLwEwATEBMgEywTPBNME1gTaBN4E4QTlBOgE7ATwBPME9wT6BP4FAQUFBQkFDAUQBRMFFgUaBR0FIQUkBScFKgUtBTAFMwU2BTkFPAU+BUAFQwVFBUcFSQVKBUwFTQVPBVAFUAVRBVIFUgVTBVMFUwVTBVMFUgVSBVEFUQVQBU8FTwVOBU0FTAVMBUsFSgVKBUkFSQVJBUgFSAVIBUgFSQVJBUoFSwVMBU0FTgVPBVEFUgVUBVYFWAVaBV0FXwVhBWQFZwVpBWwFbwVyBXUFdwV6BX0FgAWDBYYFiAWLBY4FkQWTBZYFmQWbBZ4FoAWjBaUFqAWqBa0FrwWyBbQFtwW5BbwFvgXBBcQFxwXJBcwFzwXSBdUF2AXbBd8F4gXlBekF7AXwBfMF9wX7Bf4GAgYFBgkGDQYRBhQGGAYcBh8GIwYmBioGLQYxBjQGNwY6Bj0GQAZDBkYGSAZLBk4GUAZSBlQGVgZYBloGXAZeBl8GYQZiBmMGZAZlBmYGZwZoBmgGaQZpBmoGagZqBmoGagZqBmoGagZqBmoGagZqBmoGaQZpBmkGaQZpBmkGaQZpBmoGagZqBmsGbAZsBm0GbwZwBnIGcwZ1BncGeQZ8Bn8GggaFBogGjAaPBpMGmAacBqEGpgarBrAGtga7BsEGxwbNBtMG2gbgBuYG7Qb0BvoHAQcHBw4HFAcbByEHKAcuBzUHOwdBB0cHTQdTB1kHXwdkB2oHcAd1B3sHgAeGB4wHkQeXB50HoweoB68HtQe7B8IHyQfQB9cH3gfmB+4H9gf/CAcIEAgZCCMILAg2CEAISghVCF8IaQh0CH4IiAiSCJwIpgiwCLkIwgjLCNMI2wjiCOgI7gj0CPkI/QkACQMJBQkGCQcJBgkFCQMJAQj9CPkI9AjvCOkI4gjbCNMIywjCCLkIsAimCJwIkgiICH4IdAhqCGAIVghNCEMIOggyCCoIIggbCBQIDggICAMH/gf6B/cH9AfxB/AH7gftB+0H7QfuB+8H8AfyB/QH9wf5B/wH/wgDCAYICggOCBIIFggaCB4IIggmCCoILggyCDYIOgg+CEIIRQhJCEwIUAhTCFcIWghdCGAIYwhmCGkIbAhvCHEIdAh2CHkIewh+CIAIggiECIYIhwiJCIsIjAiOCI8IkAiRCJIIkgiTCJQIlAiUCJUIlQiVCJUIlQiVCJUIlQiVCJUIlQiVCJYIlgiXCJcImAiZCJsInQieCKAIowilCKgIrAivCLMItwi7CMAIxQjKCM8I1QjbCOAI5gjtCPMI+Qj/CQYJDAkSCRgJHgkkCSoJLwk0CTkJPQlBCUUJSAlLCU4JUAlRCVMJUwlUCVMJUwlSCVAJTglMCUkJRglDCT8JPAk3CTMJLwkqCSYJIQkcCRgJEwkPCQsJBgkCCP4I+wj4CPUI8gjvCO0I6wjqCOkI6AjoCOcI5wjoCOgI6QjqCOsI7QjuCPAI8gjzCPUI9wj5CPsI/Aj+CP8JAQkCCTkJOwk9CT4JPwlACUAJQAlBCUAJQAk/CT8JPgk8CTsJOgk4CTcJNgk0CTMJMQkwCS8JLgkuCS0JLQktCS0JLgkuCTAJMQkzCTUJNwk5CTwJPwlCCUYJSQlNCVEJVQlZCV0JYQllCWgJbAlwCXMJdgl5CXwJfgmACYIJhAmFCYYJhwmHCYcJhgmFCYQJgwmBCX8JfQl7CXgJdQlyCW8JbAloCWUJYQleCVoJVglSCU8JSwlICUQJQAk9CToJNgkzCTAJLQkpCSYJIwkgCR0JGQkWCRMJEAkMCQkJBQkCCP4I+gj2CPII7QjpCOQI4AjbCNYI0QjMCMcIwQi8CLYIsQirCKUIoAiaCJQIjgiJCIMIfQh4CHIIbQhnCGIIXQhXCFIITQhICEMIPgg6CDUIMAgsCCcIIggeCBkIFAgQCAsIBwgCB/0H+AfzB+4H6QfkB98H2QfUB88HyQfDB74HuAeyB6wHpgegB5oHlAeOB4gHggd8B3YHcAdqB2QHXgdYB1MHTQdHB0IHPAc3BzIHLQcoByIHHgcZBxQHDwcLBwYHAgb9BvkG9QbxBuwG6AbkBuAG3AbYBtQG0AbMBsgGxAbABrwGtwazBq8GqwanBqMGngaaBpYGkgaNBokGhQaBBnwGeAZ0BnAGawZnBmMGXwZbBlgGVAZQBk0GSQZGBkMGQAY9BjoGNwY1BjMGMAYuBiwGKgYpBicGJQYkBiIGIQYfBh4GHQYbBhoGGAYXBhUGEwYRBg8GDQYLBgkGBgYDBgAF/QX6BfcF8wXvBesF5wXjBd8F2gXWBdEFzQXIBcMFvwW6BbUFsQWsBagFowWfBZsFlwWTBY8FjAWIBYUFggV/BX0FegV4BXYFcwVxBW8FbgVsBWoFaAVnBWUFYwVhBWAFXgVcBVoFWAVVBVMFUQVOBUwFSQVGBUMFQQU+BTsFOAU1BTIFLwUsBSoFJwUkBSIFHwUdBRsFGQUYBRYFFQUUBRMFEgURBREFEAUQBRAFEAUQBRAFEAUPBQ8FDwUPBQ8FDgUNBQwFCwUKBQgFBgUEBQEE/wT8BPgE9ATwBOwE5wTjBN0E2ATTBM0ExwTBBLsEtQSuBKgEogScBJUEjwSJBIQEfgR4BHMEbgRpBGQEXwRbBFcEUwRPBEsESARFBEIEPwQ8BDkENgQ0BDEELgQsBCkEJgQkBCEEHgQbBBgEFQQSBA8ECwQIBAQEAQP9A/kD9gPyA+8D6wPnA+QD4QPeA9sD2APVA9MD0APOA80DywPJA8gDyAPHA8YDxgPGA8YDxgPGA8cDxwPIA8gDyAPIA8gDyAPIA8cDxgPFA8QDwgO/A70DuQO2A7IDrQOoA6MDnQOXA5EDigOCA3sDcwNsA2QDXANUA0wDRAM9AzYDLwMoAyIDHQMYAxQDEAMOAwwDCwMKAwsDDAMPAxIDFgMbAyEDKAMvAzcDQANKA1QDXgNpA3QDfwOKA5YDoQOsA7cDwQPLA9UD3gPmA+0D8wP5A/4EAQQEBAYEBgQFBAMEAAP8A/cD8QPqA+ID2QPQA8UDugOvA6IDlgOJA3sDbgNhA1MDRgM5AywDHwMTAwcC/ALyAugC3gLWAs4CxwLAArsCtgKxAq4CqwKpAqcCpgKlAqUCpQKlAqYCpgKnAqgCqgKqAqsCrAKtAq0CrgKtAq0CrAKrAqoCqAKmAqQCoQKfApwCmAKVApECjQKJAoYCggJ+AnsCeAJ0AnICbwJtAmsCagJpAmkCaQJqAmsCbQJvAnICdgJ6An4CgwKIAo4ClAKbAqICqQKwArcCvwLHAs4C1gLdAuUC7ALzAvoDAAMHAw0DEgMYAxwDIQMlAykDLAMvAzEDMwM1AzYDNwM4AzkDOQM5AzkDOQM4AzgDNwM3AzYDNgM1AzUDNQM1AzUDNgM2AzcDOAM5AzsDPAM+A0ADQwNGA0gDTANPA1IDVgNaA14DYgNmA2oDbgNzA3cDewOAA4QDiQONA5EDlQOZA50DoQOlA6gDrAOvA7MDtgO5A7wDvwPBA8QDxgPIA8sDzQPPA9ED0gPUA9UD1wPYA9oD2wPcA90D3gPfA+AD4QPiA+MD4wPkA+UD5QPmA+YD5wPnA+gD6APoA+kD6QPpA+oD6gPqA+oD6wPrA+sD7APsA+0D7QPuA+4D7wPvA/AD8QPxA/ID8wP0A/UD9gP3A/gD+QP6A/sD/AP+A/8EAAQCBAMEBAQGBAcECQQKBAwEDQQPBBAEEgQUBBUEFwQYBBoEHAQdBB8EIQQjBCUEJwQpBCsELQQvBDEENAQ2BDkEPAQ+BEEERARHBEoETgRRBFUEWARcBF8EYwRnBGsEbwRzBHgEfASABIQEiQSNBJIElgSaBJ8EowSoBKwEsAS1BLkEvQTBBMYEygTOBNIE1QTZBN0E4QTkBOgE6wTvBPIE9QT4BPsE/gUBBQQFBwUKBQwFDgURBRMFFQUXBRkFGwUdBR8FIAUiBSMFJAUlBSYFJwUoBSkFKQUqBSoFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUrBSsFKwUsBSwFLAUtBS4FLgUvBTAFMQUzBTQFNgU3BTkFOwU9BT8FQQVDBUUFSAVKBU0FTwVSBVQFVwVZBVwFXgVhBWMFZQVoBWoFbAVuBXAFcgV0BXYFeAV6BXsFfQV/BYEFgwWEBYYFiAWKBYwFjgWQBZMFlQWYBZoFnQWgBaMFpgWpBa0FsAW0BbgFvAXABcUFyQXNBdIF1wXcBeAF5QXqBe8F9AX5Bf4GAwYIBg0GEgYWBhsGIAYkBikGLQYxBjUGOQY9BkAGRAZHBkoGTQZQBlMGVgZYBloGXAZeBmAGYgZjBmQGZgZnBmgGaQZqBmoGawZrBmsGbAZsBmwGbAZsBmwGbAZsBmwGawZrBmsGawZqBmoGagZqBmoGagZqBmoGagZqBmoGawZrBmwGbQZuBm8GcAZyBnMGdQZ3BnkGfAZ/BoIGhQaIBowGkAaUBpgGnQaiBqcGrAayBrgGvgbEBssG0gbZBuAG5wbvBvYG/gcGBw4HFgceByYHLgc3Bz8HRwdPB1cHXwdnB28Hdwd/B4YHjQeVB5wHoweqB7AHtwe9B8QHygfQB9YH3AfiB+gH7gfzB/kH/wgFCAsIEQgXCB0IJAgqCDEINwg+CEUITQhUCFwIYwhrCHMIewiCCIoIkgiaCKIIqgiyCLkIwAjHCM4I1AjaCN8I5AjpCO0I8AjzCPUI9wj3CPgI9wj2CPQI8QjuCOoI5QjgCNoI0wjMCMUIvQi0CKsIogiZCI8Ihgh8CHIIaAhfCFUITAhCCDoIMQgpCCEIGggTCA0IBwgBB/0H+Qf1B/IH7wftB+wH6wfqB+sH6wfsB+4H7wfxB/QH9wf6B/0IAQgFCAkIDQgRCBYIGggfCCQIKQgtCDIINwg8CEEIRghLCFAIVQhaCF8IZAhpCG4Icwh4CH0IgQiGCIsIkAiUCJgInQihCKUIqQisCLAIswi2CLkIvAi/CMEIwwjECMYIxwjICMkIyQjJCMkIyQjJCMgIyAjHCMYIxQjECMMIwgjBCMEIwAi/CL8Ivwi/CMAIwQjCCMMIxQjICMoIzQjRCNUI2QjeCOQI6QjvCPYI/QkECQsJEwkbCSMJKwk0CTwJRQlNCVYJXglmCW4Jdgl9CYQJiwmRCZcJnAmhCaUJqQmsCa4JsAmxCbIJsgmyCbAJrwmsCakJpgmiCZ4JmQmUCY4JiAmCCXwJdQlvCWgJYQlaCVQJTQlHCUEJOwk1CTAJKwkmCSIJHgkaCRcJFQkSCREJDwkPCQ4JDgkPCQ8JEQkSCRQJFgkYCRoJHQkgCSIJJQkoCSsJLgkwCTMJNQk3CYAJggmECYYJiAmJCYoJiwmMCYwJjAmMCYsJiwmKCYkJhwmGCYUJgwmCCYAJfwl9CXwJewl6CXkJeAl4CXcJdwl3CXcJeAl5CXoJewl8CX4JgAmBCYMJhQmICYoJjAmOCZEJkwmVCZcJmQmaCZwJnQmeCZ8JoAmgCaAJoAmgCZ8JngmdCZsJmgmYCZYJkwmRCY4JiwmJCYYJgwmACX0Jegl3CXQJcQluCWsJaAlmCWMJYQleCVwJWglYCVYJVAlRCU8JTQlLCUkJRwlFCUIJQAk9CToJNwk0CTAJLAkoCSQJIAkbCRYJEAkLCQUI/wj4CPII6wjkCN0I1gjOCMcIvwi4CLAIqQihCJoIkgiLCIQIfQh2CG8IaAhiCFsIVQhPCEkIRAg+CDkIMwguCCkIJAggCBsIFggRCA0ICAgDB/8H+gf1B/AH6wfnB+EH3AfXB9IHzAfHB8EHvAe2B7AHqgekB54HmAeSB4wHhgeAB3oHdAduB2gHYgdcB1cHUQdLB0YHQAc7BzUHMAcrByYHIQccBxcHEgcNBwgHBAb/BvoG9gbxBu0G6AbkBt8G2wbWBtEGzQbIBsQGvwa7BrYGsQatBqgGowaeBpoGlQaQBosGhgaBBnwGdwZyBm0GaAZjBl4GWQZUBk8GSgZFBkAGOwY2BjIGLQYoBiQGHwYbBhcGEwYPBgsGBwYEBgAF/QX6BfcF9AXyBe8F7QXrBekF5wXlBeQF4gXhBd8F3gXcBdsF2QXYBdYF1AXSBdEFzwXNBcoFyAXFBcIFwAW9BbkFtgWzBa8FqwWnBaQFoAWbBZcFkwWPBYsFhwWDBX8FfAV4BXQFcQVuBWsFaAVlBWIFYAVdBVsFWQVXBVUFVAVSBVAFTwVNBUsFSgVIBUYFRAVCBUAFPgU7BTgFNgUzBS8FLAUoBSUFIQUdBRkFFQURBQwFCAUEBQAE/AT4BPQE8ATtBOoE5wTkBOIE4ATeBNwE2wTaBNoE2QTaBNoE2wTcBN0E3gTgBOEE4wTkBOYE6ATpBOsE7ATtBO4E7wTvBO8E7wTvBO0E7ATqBOgE5QTjBN8E2wTXBNMEzgTJBMQEvwS5BLMErQSnBKEEmwSVBJAEigSEBH8EeQR0BG8EagRmBGIEXgRaBFcEUwRQBE4ESwRIBEYERARCBEAEPgQ8BDoEOAQ2BDMEMQQuBCwEKQQmBCMEHwQbBBgEEwQPBAoEBgQBA/sD9gPxA+sD5gPgA9sD1QPQA8sDxgPBA7wDuAOzA68DrAOoA6YDowOhA58DnQOcA5sDmwObA5sDmwObA5wDnQOeA58DoAOhA6EDogOiA6MDowOiA6EDoAOfA5wDmgOXA5MDjwOLA4YDgAN6A3MDbANlA10DVQNNA0UDPQM0AywDJAMcAxQDDAMGAv8C+QL0Au8C7ALpAucC5QLlAuYC5wLqAu0C8gL3Av4DBQMNAxUDHwMpAzMDPgNJA1UDYQNtA3gDhAOPA5oDpQOvA7gDwAPIA88D1QPaA94D4QPjA+MD4wPhA94D2gPVA88DyAPAA7gDrgOkA5kDjQOBA3UDaANcA08DQgM1AykDHAMQAwUC+gLvAuUC3ALUAswCxAK+ArgCswKvAqsCqAKlAqMCogKhAqACoAKgAqACoAKhAqICogKiAqMCowKjAqMCogKhAqACngKcApoCmAKVApECjgKKAoYCggJ+AnkCdQJwAmwCZwJjAl8CWwJXAlQCUQJPAk0CTAJLAkoCSwJLAk0CTgJRAlQCVwJbAmACZQJqAnACdgJ8AoMCigKRApgCnwKmAq0CtQK7AsICyQLPAtYC3ALhAuYC6wLwAvQC+AL7Av8DAQMEAwYDCAMKAwsDDAMNAw4DDwMPAxADEAMQAxEDEgMSAxMDFAMVAxYDFwMYAxoDHAMeAyADIgMlAycDKgMuAzEDNAM4AzsDPwNDA0YDSgNOA1IDVgNaA14DYQNlA2kDbANwA3MDdgN6A30DgAODA4YDiAOLA40DkAOSA5UDlwOZA5sDngOgA6IDpAOmA6gDqgOsA64DsAOyA7QDtgO4A7oDvAO+A8ADwQPDA8UDxwPJA8oDzAPOA88D0QPSA9QD1QPWA9gD2QPaA9sD3APdA94D3wPgA+ED4gPjA+QD5QPmA+cD6APpA+oD6wPsA+0D7gPvA/ED8gPzA/QD9gP3A/gD+gP7A/wD/gP/BAAEAQQCBAMEBAQFBAYEBwQIBAgECQQJBAoECgQKBAoECgQKBAoECgQKBAoECgQJBAkECQQJBAkECQQKBAoECgQLBAwEDQQOBA8EEQQTBBUEFwQZBBwEHwQiBCUEKQQtBDAENQQ5BD0EQgRGBEsEUARVBFoEXwRkBGkEbgRyBHcEfASABIUEiQSOBJIElgSZBJ0EoQSkBKcEqgStBLAEsgS1BLcEuQS7BL0EvwTABMIExATFBMcEyATJBMsEzATNBM8E0ATRBNME1ATWBNcE2ATaBNsE3QTeBOAE4QTjBOUE5gToBOoE7ATtBO8E8QTzBPUE9wT5BPsE/QUABQIFBAUHBQkFDAUOBREFFAUXBRoFHAUfBSMFJgUpBSwFLwUyBTUFOAU8BT8FQgVFBUgFSgVNBVAFUgVVBVcFWQVbBV0FXwVgBWIFYwVlBWYFZwVoBWkFaQVqBWsFbAVtBW0FbgVvBXAFcQVyBXMFdQV2BXgFegV8BX8FgQWEBYcFigWNBZAFlAWYBZwFoAWkBakFrQWyBbcFvAXBBcYFzAXRBdYF2wXhBeYF6wXwBfYF+wYABgUGCgYPBhMGGAYcBiEGJQYpBi0GMQY0BjgGOwY+BkEGRAZHBkoGTAZOBlEGUwZUBlYGWAZZBlsGXAZdBl4GXwZgBmAGYQZhBmIGYgZiBmMGYwZjBmQGZAZkBmQGZQZlBmYGZgZnBmgGaAZpBmoGawZtBm4GcAZyBnMGdQZ4BnoGfAZ/BoIGhQaIBosGjwaTBpYGmwafBqMGqAasBrEGtga7BsEGxgbMBtIG2AbeBuQG6wbxBvgG/wcGBw0HFAccByMHKwcyBzoHQgdKB1IHWgdiB2oHcgd6B4IHigeSB5kHoQepB7AHtwe/B8YHzQfTB9oH4AfnB+0H8wf4B/4IAwgJCA4IEwgYCB0IIggnCCwIMAg1CDoIPghDCEgITQhSCFcIXAhhCGYIawhwCHYIewiACIYIiwiQCJYImwigCKQIqQitCLEItQi5CLwIvgjACMIIwwjECMQIxAjDCMIIwAi9CLoItgiyCK0IqAiiCJwIlgiPCIcIgAh4CHAIaAhgCFgIUAhJCEEIOQgyCCsIJAgeCBgIEggNCAgIBAgBB/0H+wf4B/cH9gf1B/UH9Qf2B/cH+Af6B/wH/wgCCAUICQgMCBAIFAgZCB0IIggmCCsIMAg1CDsIQAhFCEsIUQhWCFwIYghoCG4IdAh7CIEIhwiOCJUImwiiCKkIrwi2CL0IwwjKCNAI1wjdCOMI6QjuCPMI+Qj9CQIJBgkKCQ0JEQkUCRYJGAkaCRwJHQkeCR4JHwkfCR8JHwkeCR4JHgkdCR0JHQkcCRwJHAkdCR0JHgkfCSEJIwklCScJKgkuCTIJNgk7CUAJRQlLCVEJVwleCWUJbAl0CXsJgwmLCZIJmgmiCaoJsQm4Cb8JxgnMCdIJ2AndCeIJ5gnqCe4J8AnzCfUJ9gn2CfYJ9gn1CfMJ8QnuCesJ5wnjCd4J2QnUCc4JyAnCCbwJtQmuCacJoAmaCZMJjAmFCX8JeQlyCW0JZwliCV0JWQlVCVEJTglLCUkJRwlGCUUJRAlECUUJRglHCUgJSglNCU8JUglVCVgJWwlfCWIJZglqCW0JcQl0CXcJegl9CcwJzQnPCdAJ0gnSCdMJ0wnTCdMJ0gnSCdEJzwnOCc0JywnJCccJxQnDCcEJvwm9CbsJuQm3CbYJtAmzCbEJsAmvCa4JrQmtCawJrAmsCawJrAmsCawJrQmtCa0JrQmuCa4JrgmuCa4JrgmuCa0JrQmsCasJqgmpCacJpQmjCaEJnwmdCZoJmAmVCZMJkAmNCYoJhwmECYIJfwl8CXoJdwl1CXIJcAluCWwJawlpCWgJZgllCWQJYglhCWAJXwleCV0JXAlaCVkJVwlVCVMJUQlOCUsJSAlFCUEJPQk4CTMJLgkoCSIJHAkVCQ4JBgj/CPcI7wjmCN4I1QjNCMQIuwiyCKoIoQiYCJAIhwh/CHcIcAhoCGEIWghTCE0IRghACDoINQgvCCoIJQggCBwIFwgTCA4ICggGCAEH/Qf5B/QH8AfsB+cH4wfeB9kH1AfPB8oHxQfAB7sHtQewB6sHpQefB5oHlAePB4kHhAd/B3kHdAdvB2kHZAdfB1oHVQdQB0sHRgdCBz0HOAczBy8HKgclByAHGwcXBxIHDQcIBwMG/gb5BvQG7gbpBuQG3gbZBtMGzgbIBsMGvQa4BrIGrQanBqIGnAaXBpEGjAaGBoEGfAZ2BnEGawZmBmEGWwZWBlAGSwZGBkAGOgY1BjAGKgYkBh8GGQYUBg4GCQYDBf4F+AXzBe4F6QXkBd8F2gXVBdEFzAXIBcQFwAW8BbkFtQWyBa8FqwWoBaYFowWgBZ4FmwWZBZYFlAWRBY8FjAWKBYcFhAWBBX4FewV4BXUFcgVuBWsFaAVkBWAFXQVZBVUFUgVOBUoFRwVEBUAFPQU6BTcFNQUyBTAFLgUsBSsFKQUoBSYFJQUkBSQFIwUiBSIFIQUhBSAFHwUeBR0FHAUbBRkFFwUVBRMFEQUOBQsFBwUEBQAE/AT4BPME7wTqBOUE4ATbBNYE0QTMBMgEwwS/BLoEtwSzBLAErQSqBKgEpgSlBKMEowSiBKIEowSkBKUEpgSnBKkEqwStBK8EsQSzBLUEtwS5BLsEvAS9BL4EvwS/BMAEvwS/BL4EvQS7BLkEtwS0BLEErgSrBKcEowSfBJsElwSSBI4EiQSFBIEEfAR4BHQEcARsBGkEZQRiBF8EXARZBFcEVARSBFAETgRNBEsESQRIBEYERQRDBEIEQAQ+BDwEOgQ4BDUEMwQwBC0EKQQlBCEEHQQZBBQEDwQJBAQD/gP4A/ID6wPlA94D1wPQA8kDwwO8A7UDrwOoA6IDnAOXA5EDjAOHA4MDfwN7A3gDdQNyA3ADbwNtA2wDawNrA2sDawNrA2sDbANsA2wDbQNtA20DbQNtA2wDawNqA2gDZgNkA2EDXQNZA1QDUANKA0QDPgM3AzADKQMiAxoDEgMLAwMC+wL0Au0C5gLfAtkC1ALPAssCxwLFAsMCwgLDAsMCxQLIAswC0QLXAt0C5QLtAvYC/wMJAxQDHwMqAzYDQQNNA1kDZANvA3oDhAONA5YDngOlA6wDsQO1A7gDuwO8A7wDuwO5A7UDsQOsA6YDnwOXA48DhgN8A3IDZwNcA1EDRgM7AzADJQMaAw8DBQL7AvIC6QLhAtkC0gLLAsUCwAK7ArcCswKwAq4CqwKqAqgCpwKmAqUCpAKkAqMCogKhAqACnwKeApwCmwKYApYCkwKRAo0CigKGAoICfgJ5AnQCcAJrAmYCYQJdAlgCVAJPAksCSAJEAkECPwI9AjsCOgI5AjkCOQI6AjsCPQI/AkICRQJJAk0CUQJWAlsCYAJmAmsCcQJ2AnwCggKIAo4CkwKYAp4CowKoAqwCsQK1ArgCvAK/AsICxQLHAskCywLNAs8C0ALRAtIC1ALVAtYC1wLYAtkC2gLbAtwC3gLgAuEC4wLlAugC6gLtAvAC8wL2AvoC/QMBAwQDCAMMAxADFAMYAxwDIAMlAykDLAMwAzQDOAM7Az8DQgNGA0kDTANPA1IDVQNXA1oDXANfA2EDZANmA2gDawNtA28DcgN0A3YDeQN7A34DgAODA4YDiAOLA44DkAOTA5YDmQObA54DoQOjA6YDqAOrA60DrwOxA7MDtQO3A7kDugO8A70DvgO/A8ADwQPCA8MDwwPEA8UDxQPFA8YDxgPHA8cDxwPIA8gDyQPJA8oDywPLA8wDzQPOA88D0APRA9ID1APVA9YD2APZA9oD3APdA94D4APhA+ID4wPkA+UD5gPnA+gD6APpA+kD6QPpA+kD6QPpA+gD6APnA+YD5gPlA+UD5APjA+ID4gPhA+ED4QPhA+ED4QPhA+ID4wPkA+UD5wPpA+sD7QPwA/MD9gP5A/0EAQQFBAkEDQQSBBYEGwQgBCQEKQQuBDMENwQ8BEAERQRJBE0EUARUBFcEWwRdBGAEYwRlBGcEaQRqBGwEbQRuBG8EbwRwBHEEcQRyBHIEcgRzBHMEcwR0BHQEdQR1BHYEdwR4BHkEewR8BH0EfwSBBIMEhQSHBIkEjASOBJEEkwSWBJkEnASfBKIEpQSoBKwErwSyBLYEuQS9BMAExATHBMsEzwTTBNcE2gTeBOIE5gTqBO8E8wT3BPsE/wUDBQcFCwUPBRMFFwUbBR8FIwUmBSoFLQUxBTQFNwU6BTwFPwVBBUQFRgVIBUoFTAVOBVAFUgVUBVUFVwVZBVsFXAVeBWAFYgVkBWYFaQVrBW4FcAVzBXYFeQV8BX8FggWGBYkFjQWQBZQFmAWcBaAFpAWoBawFsAW0BbcFuwW/BcMFxwXLBc8F0gXWBdoF3gXhBeUF6QXsBfAF9AX3BfsF/wYCBgYGCQYNBhEGFAYYBhsGHwYiBiUGKQYsBi8GMgY1BjgGOgY9Bj8GQgZEBkYGSAZKBksGTQZPBlAGUQZSBlMGVAZVBlYGVwZYBlkGWgZcBl0GXgZgBmEGYwZlBmcGaQZsBm4GcQZ0BngGewZ/BoIGhgaLBo8GlAaYBp0GoganBqwGsga3BrwGwgbHBs0G0gbYBt0G4wboBu4G8wb4Bv4HAwcJBw4HEwcZBx4HIwcpBy4HMwc5Bz8HRAdKB1AHVQdbB2EHZwdtB3MHegeAB4YHjAeTB5kHoAemB6wHswe5B78HxgfMB9IH2AfdB+MH6QfuB/MH+Af9CAIIBwgLCBAIFAgZCB0IIQglCCkILQgxCDQIOAg8CEAIRAhICEwIUAhUCFgIXAhgCGQIaAhsCG8Icwh3CHoIfgiBCIQIhwiJCIsIjQiOCI8IkAiQCJAIjwiOCI0IiwiICIYIggh/CHsIdwhyCG0IaAhjCF0IWAhSCE0IRwhCCD0IOAgzCC4IKggmCCMIIAgdCBsIGQgXCBYIFggWCBYIFwgYCBoIHAgeCCEIIwgnCCoILggyCDYIOgg+CEMIRwhMCFAIVQhaCF8IZAhpCG8IdAh5CH8IhQiKCJAIlwidCKMIqgixCLgIvwjGCM4I1QjdCOUI7Aj0CPwJBAkMCRQJHAkkCSsJMwk6CUEJRwlOCVQJWglfCWQJaQltCXEJdQl5CXwJfwmBCYQJhgmICYoJjAmOCZAJkgmTCZYJmAmaCZ0JoAmjCaYJqgmuCbIJtwm8CcEJxgnMCdIJ2AneCeUJ6wnyCfgJ/woGCgwKEgoYCh4KJAopCi4KMgo3CjoKPQpACkIKRApFCkYKRgpGCkUKRApCCkAKPQo6CjcKMwovCioKJgohChsKFgoQCgoKBQn/CfkJ8wntCecJ4QnbCdUJzwnKCcUJvwm7CbYJsQmtCakJpQmiCZ4JmwmZCZcJlAmTCZEJkAmQCY8JjwmPCZAJkQmSCZMJlQmXCZkJmwmeCaEJpAmnCaoJrQmwCbMJtgm5CbwJvwnCCcUJxwnKChYKFgoXChcKFwoXChcKFgoVChMKEgoQCg4KDAoJCgcKBAoBCf4J+wn4CfUJ8gnvCewJ6gnnCeQJ4QnfCd0J2gnYCdYJ1QnTCdIJ0AnPCc4JzQnMCcsJygnJCcgJxwnGCcUJxAnDCcIJwQm/Cb4JvAm7CbkJtwm1CbIJsAmuCasJqAmlCaMJoAmdCZoJlwmTCZAJjQmKCYcJhAmBCX8JfAl5CXcJdQlyCXAJbglsCWoJaAlnCWUJYwlhCWAJXglcCVoJWQlXCVUJUglQCU0JSglHCUQJQAk8CTgJMwkuCSkJJAkeCRgJEgkLCQQI/Qj1CO4I5gjeCNYIzgjGCL0ItQitCKUInQiVCI4Ihgh/CHgIcQhqCGQIXQhXCFEITAhGCEEIPAg3CDMILggqCCUIIQgdCBgIFAgQCAsIBwgCB/0H+Qf0B+8H6gfkB98H2QfUB84HyAfDB70HtwexB6sHpQefB5kHlAeOB4gHgwd9B3gHcgdtB2gHYwdeB1kHVAdQB0sHRgdCBz0HOAc0By8HKgclByAHGwcWBxAHCwcFBwAG+gb0Bu4G6AbiBtsG1QbPBsgGwga8BrUGrwapBqIGnAaWBpAGigaEBn4GeQZzBm4GaAZjBl4GWQZTBk4GSQZEBj8GOgY1BjAGKgYlBiAGGwYVBhAGCgYEBf8F+QXzBe0F5wXhBdsF1QXPBckFwgW9BbcFsQWrBaYFoAWbBZYFkAWLBYcFggV+BXkFdQVxBW0FaQVlBWEFXQVaBVYFUgVPBUsFRwVDBUAFPAU4BTQFMAUsBScFIwUfBRsFFgUSBQ4FCgUFBQEE/QT6BPYE8gTvBOwE6QTmBOME4QTfBN0E3ATaBNkE2ATYBNcE1wTWBNYE1gTWBNYE1gTWBNYE1gTWBNUE1QTUBNME0gTQBM4EzATKBMgExQTCBL8EuwS4BLQEsASsBKgEpASgBJwEmASUBJAEjASIBIUEggR/BHwEegR4BHYEdARzBHIEcQRwBHAEbwRvBG8EcARwBHEEcQRyBHIEcwRzBHQEdAR0BHUEdQR1BHQEdARzBHMEcgRxBHAEbwRtBGwEagRoBGcEZQRjBGEEXwRdBFsEWQRXBFUEUwRSBFAETgRMBEsESQRIBEYERQRDBEIEQQQ/BD4EPQQ7BDoEOQQ4BDYENQQ0BDIEMQQwBC4ELAQrBCkEJwQlBCMEIQQeBBwEGQQWBBMEDwQLBAcEAwP/A/oD9QPwA+oD5APeA9gD0QPLA8QDvQO2A64DpwOgA5gDkQOKA4MDfAN1A28DaQNjA10DWANTA08DSwNHA0QDQgM/Az0DOwM6AzkDOQM4AzgDOAM3AzcDNwM3AzcDNwM2AzUDNAMyAzADLgMrAycDIwMfAxsDFQMQAwoDBAL9AvYC7wLoAuEC2gLTAswCxQK/ArkCswKuAqoCpgKjAqECoAKgAqACogKkAqcCrAKxArcCvgLFAs4C1wLgAuoC9QMAAwoDFQMhAysDNgNBA0sDVANdA2YDbQN0A3oDfwODA4YDiQOKA4oDiQOHA4UDgQN8A3cDcQNrA2MDXANUA0sDQwM6AzEDKAMfAxYDDgMFAv0C9QLuAucC4QLaAtUC0ALLAscCwwK/ArwCuQK2ArQCsQKvAq0CqwKpAqcCpQKiAqACnQKbApgClQKRAo4CigKGAoICfQJ5AnQCcAJrAmYCYgJdAlkCVAJQAkwCSAJFAkICPwI8AjoCOQI4AjcCNgI2AjcCOAI5AjoCPAI/AkECRAJIAksCTwJSAlYCWwJfAmMCZwJrAm8CcwJ3AnsCfwKCAoUCiQKLAo4CkQKTApUClwKYApoCmwKcAp0CngKfAqACoAKhAqICogKjAqQCpAKlAqYCqAKpAqoCrAKuArACsgK1ArcCugK9AsACwwLHAsoCzgLSAtYC2QLdAuEC5QLpAu0C8QL1AvkC/QMBAwQDCAMMAw8DEwMWAxkDHAMfAyMDJgMpAywDLwMyAzUDOAM7Az4DQQNFA0gDSwNPA1IDVQNZA10DYANkA2gDawNvA3IDdgN6A30DgQOEA4cDiwOOA5EDkwOWA5kDmwOdA58DoQOjA6QDpgOnA6gDqQOpA6oDqwOrA6sDqwOrA6sDqwOrA6oDqgOqA6kDqQOoA6gDqAOnA6cDpwOnA6cDpgOmA6YDpgOnA6cDpwOnA6gDqAOpA6oDqgOrA6wDrQOuA68DrwOwA7EDsgOzA7QDtQO1A7YDtwO4A7gDuQO5A7oDugO6A7sDuwO7A7sDuwO8A7wDvAO8A7wDvAO9A70DvgO/A78DwAPBA8MDxAPFA8cDyQPLA80D0APSA9UD2APaA94D4QPkA+cD6wPuA/ID9QP4A/wD/wQCBAUECAQLBA0EEAQSBBQEFgQYBBkEGwQcBB0EHgQeBB8EHwQgBCAEIAQgBCAEIAQhBCEEIQQhBCEEIgQjBCMEJAQlBCYEJwQpBCoELAQuBDAEMgQ0BDcEOQQ8BD4EQQREBEcESgRMBE8EUgRVBFgEWwRdBGAEYwRmBGkEawRuBHEEdAR3BHoEfQSABIMEhgSKBI0EkQSUBJgEnASgBKQEqQStBLEEtgS7BL8ExATJBM4E0wTYBN0E4gTnBOwE8QT2BPsFAAUEBQkFDgUSBRcFHAUgBSUFKQUuBTIFNwU7BUAFRAVJBU0FUgVWBVsFXwVkBWgFbQVxBXYFegV+BYIFhgWKBY4FkQWVBZgFmwWeBaEFowWlBagFqQWrBa0FrgWvBbEFsgWzBbQFtAW1BbYFtwW5BboFuwW8Bb4FwAXCBcQFxgXJBcwFzwXSBdYF2QXdBeEF5QXpBe4F8gX3BfsGAAYEBgkGDQYRBhUGGQYdBiEGJAYoBisGLgYwBjMGNQY3BjkGOwY9Bj4GPwZBBkIGRAZFBkYGSAZJBksGTQZPBlEGVAZXBloGXQZgBmQGaAZsBnEGdgZ7BoAGhgaLBpEGmAaeBqQGqgaxBrcGvgbEBssG0QbXBt0G4wbpBu8G9Ab5Bv4HAwcIBw0HEQcVBxkHHQchByQHKAcrBy8HMgc1BzgHPAc/B0MHRgdKB00HUQdVB1oHXgdiB2cHbAdxB3YHeweAB4YHiweRB5cHnAeiB6gHrge0B7kHvwfEB8oHzwfVB9oH3wfkB+kH7gfyB/cH+wgACAQICAgNCBEIFQgZCB0IIggmCCoILwgzCDcIPAhACEUISQhOCFIIVghbCF8IYwhnCGsIbghyCHUIdwh6CHwIfgh/CIAIgQiBCIEIgQiACH8IfQh7CHkIdwh1CHIIbwhtCGoIZwhkCGIIXwhdCFsIWghYCFcIVghWCFYIVghXCFkIWghcCF8IYQhlCGgIbAhvCHMIeAh8CIEIhQiKCI8IkwiYCJ0IoQimCKsIrwi0CLkIvQjCCMYIywjQCNUI2gjfCOQI6gjwCPYI/AkCCQkJEAkXCR4JJgkuCTYJPglGCU8JVwlgCWgJcQl5CYEJiQmRCZkJoAmoCa4JtQm7CcEJxwnMCdEJ1gnbCd8J4wnnCesJ7wnzCfYJ+gn+CgIKBgoLCg8KFAoZCh4KJAoqCjAKNwo+CkUKTApTClsKYgpqCnIKeQqBCogKjwqWCp0KowqoCq0Ksgq1CrkKuwq9Cr4Kvgq+Cr0Kuwq4CrUKsQqsCqcKoQqbCpQKjQqFCn0KdQptCmQKXApTCksKQgo6CjIKKgoiChsKFAoNCgcKAQn7CfYJ8QntCekJ5QniCd8J3QnbCdkJ1wnWCdUJ1QnUCdQJ1AnUCdUJ1QnWCdcJ2AnaCdsJ3QneCeAJ4gnkCeYJ6QnrCe4J8AnzCfUJ+An7Cf0KAAoDCgUKCAoKCgwKDgoQChIKEwoVClsKWwpbClsKWwpaClgKVwpVClIKUApNCkkKRgpCCj4KOgo2CjIKLgopCiUKIAocChgKFAoQCgwKCQoFCgIJ/wn8CfkJ9wn1CfMJ8QnvCe0J7AnqCekJ5wnmCeUJ4wniCeEJ3wneCdwJ2wnZCdcJ1QnTCdEJzwnNCcoJxwnFCcIJvwm8CbkJtgmzCbAJrAmpCaUJogmeCZsJlwmUCZAJjAmJCYUJgQl+CXoJdwlzCXAJbAloCWUJYQleCVoJVwlUCVAJTAlJCUUJQgk+CToJNgkyCS4JKgkmCSEJHQkYCRMJDgkJCQMI/gj4CPMI7QjnCOEI2gjUCM4IyAjBCLsItAiuCKgIogicCJYIkAiKCIQIfwh5CHQIbwhqCGUIYAhbCFcIUghNCEkIRAhACDsINggxCCwIKAgiCB0IGAgSCAwIBggAB/oH9AftB+YH4AfZB9IHywfEB70HtQeuB6cHoAeZB5IHjAeFB34HeAdyB2sHZQdfB1oHVAdOB0kHQwc+BzkHMwcuBykHIwceBxgHEwcNBwgHAgb8BvYG8AbpBuMG3QbWBs8GyQbCBrsGtAatBqYGoAaZBpIGjAaFBn8GeAZyBmwGZgZgBlsGVQZQBksGRgZBBjwGNwYyBi4GKQYlBiAGHAYXBhIGDQYJBgQF/wX6BfUF7wXqBeUF3wXZBdMFzQXIBcEFuwW1Ba8FqQWjBZ0FlwWRBYsFhQV/BXkFcwVuBWkFYwVeBVkFVAVPBUoFRgVBBT0FOAU0BS8FKwUmBSIFHgUZBRUFEAULBQcFAgT9BPgE8wTuBOkE5ATfBNoE1QTQBMsExgTBBLwEtwSzBK4EqgSmBKIEngSbBJcElASRBI8EjASKBIgEhwSFBIQEggSBBIAEgAR/BH8EfgR9BH0EfQR8BHwEewR6BHkEeQR4BHcEdQR0BHMEcQRvBG4EbARqBGgEZgRkBGIEXwRdBFsEWQRXBFUEUwRRBE8ETQRLBEoESARGBEUEQwRCBEAEPwQ9BDwEOwQ5BDgENgQ1BDMEMQQwBC4ELQQrBCkEKAQmBCQEIwQhBCAEHwQdBBwEHAQbBBoEGQQZBBkEGQQZBBkEGQQZBBoEGgQbBBsEHAQcBBwEHAQdBB0EHQQcBBwEGwQbBBoEGQQYBBYEFQQUBBIEEAQPBA0ECwQKBAgEBwQFBAQEAwQCBAEEAAQABAAD/wP/A/8D/wP/A/8D/wP/A/8D/gP9A/wD+wP5A/cD9APxA+0D6APkA94D2APSA8sDwwO7A7MDqgOhA5gDjwOFA3wDcgNpA18DVgNOA0UDPgM2Ay8DKQMjAx4DGgMWAxMDEAMOAwwDCwMLAwsDCwMLAwwDDAMNAw4DDgMPAw8DDwMOAw0DDAMKAwcDBAMAAvwC9wLyAuwC5gLfAtgC0QLJAsECugKyAqoCowKcApUCjwKKAoUCgQJ9AnsCeQJ5AnkCegJ9AoAChQKKApACmAKgAqgCsgK8AsYC0QLcAugC8wL+AwoDFQMfAykDMwM8A0QDTANSA1gDXQNhA2MDZQNmA2YDZQNkA2EDXgNaA1UDUANKA0QDPQM2Ay8DKAMhAxoDEwMMAwUC/gL4AvIC7ALnAuIC3QLYAtQC0ALMAskCxQLCAr8CuwK4ArUCsgKuAqsCpwKjAp8CmwKXApMCjgKJAoQCfwJ6AnUCcAJrAmYCYAJbAlcCUgJNAkkCRQJBAj4COwI4AjYCNAIyAjECMAIwAjACMAIxAjICMwI0AjYCOAI6Aj0CQAJCAkUCSAJLAk4CUQJUAlcCWgJdAmACYgJlAmcCagJsAm4CcAJyAnMCdAJ2AncCeAJ5AnoCegJ7AnsCfAJ8An0CfQJ9An4CfgJ/An8CgAKBAoICgwKEAoUChwKIAooCjAKOApACkwKVApgCmwKeAqECpAKoAqsCrgKyArUCuQK9AsACxALHAssCzgLSAtYC2QLcAuAC4wLnAuoC7QLxAvQC+AL7Av4DAgMFAwkDDAMQAxQDGAMbAx8DIwMnAysDLwMzAzcDOwM/A0MDRwNKA04DUgNWA1kDXQNgA2MDZgNpA2wDbwNyA3QDdwN5A3sDfQN/A4EDgwOFA4YDiAOJA4oDjAONA44DjwOQA5ADkQOSA5IDkgOTA5MDkwOTA5IDkgORA5EDkAOPA44DjgONA4sDigOJA4gDhgOFA4QDgwOCA4EDfwN+A34DfQN8A3wDewN7A3sDewN7A3sDfAN9A30DfgN/A4ADggODA4QDhgOHA4kDigOMA44DkAORA5MDlQOXA5gDmgOcA50DnwOhA6IDpAOlA6cDqAOqA6sDrAOuA68DsQOyA7MDtQO2A7cDuQO6A7sDvAO9A78DwAPBA8IDwwPEA8UDxQPGA8cDxwPIA8gDyQPJA8oDygPKA8sDywPLA8wDzAPMA80DzQPOA88D0APRA9ID0wPUA9YD1wPZA9sD3QPfA+ID5APnA+oD7QPvA/ID9QP4A/sD/gQBBAQEBwQKBAwEDwQRBBQEFgQYBBoEHAQeBB8EIQQiBCQEJQQnBCgEKQQrBCwELgQwBDIENAQ2BDgEOwQ+BEEERARIBEwEUARUBFkEXgRjBGgEbQRzBHkEfwSFBIsEkQSXBJ4EpASrBLEEuAS/BMUEzATSBNkE4ATmBO0E8wT6BQEFBwUOBRQFGwUhBSgFLgU1BTsFQgVIBU4FVAVaBV8FZQVqBW8FcwV4BXwFfwWDBYYFiAWLBYwFjgWPBZAFkAWQBZAFkAWPBY4FjQWMBYsFigWJBYcFhwWGBYUFhQWFBYUFhQWGBYcFiQWLBY4FkAWTBZcFmwWfBaQFqAWtBbMFuAW+BcMFyQXPBdUF2gXgBeUF6wXwBfUF+QX+BgIGBgYJBg0GEAYTBhUGGAYaBhsGHQYfBiAGIQYjBiQGJQYmBigGKQYrBi0GLwYxBjMGNgY5BjwGPwZDBkgGTAZRBlYGWwZhBmcGbQZ0BnoGgQaJBpAGlwaeBqYGrQa1BrwGwwbKBtEG2AbfBuUG6wbxBvcG/AcBBwYHCwcPBxMHFwcbBx8HIgclBygHKwcuBzEHMwc2BzkHPAc/B0IHRQdIB0sHTwdTB1cHWwdgB2QHaQduB3MHeQd+B4QHigePB5UHmwehB6cHrgezB7kHvwfFB8sH0AfWB9sH4QfmB+sH8Qf2B/sIAAgECAkIDggTCBkIHggjCCgILQgzCDgIPghECEoIUAhWCFwIYghoCG4IdAh5CH8IhQiKCI8IlAiZCJ0IoQilCKgIqwitCLAIsQizCLQItQi2CLYItwi3CLcItwi3CLcItwi3CLgIuAi5CLoIuwi9CL8IwQjECMcIygjNCNEI1QjZCN4I4gjnCOwI8Qj1CPoI/wkECQgJDQkRCRUJGQkdCSEJJAkoCSsJLgkxCTUJOAk7CT4JQglFCUkJTQlSCVYJWwlhCWYJbAlzCXkJgQmICY8JlwmfCagJsAm4CcEJyQnSCdoJ4gnqCfIJ+QoACgcKDgoUChoKIAolCikKLgoyCjcKOgo+CkIKRQpJCkwKUApUClgKXApgCmUKagpvCnQKegqACoYKjQqUCpsKogqpCrAKuAq/CsYKzQrUCtoK4ArmCusK7wrzCvYK+Ar6CvsK+wr6CvkK9grzCu8K6grlCt4K1wrQCsgKwAq3Cq4KpAqbCpEKhwp9CnQKagphClgKUApICkAKOAoxCisKJQogChsKFwoTChAKDQoLCgkKBwoGCgYKBQoFCgUKBgoHCgcKCAoKCgsKDAoOCg8KEQoTChUKFwoZChsKHQofCiEKJAomCikKKwouCjEKMwo2CjkKPAo/CkIKRQpICkoKTQpQClIKVApWClgKWQpaCpMKkwqTCpMKkgqQCo4KjAqJCoYKggp+CnkKdApvCmoKZApfClkKUwpOCkgKQgo9CjgKMwouCikKJQohCh0KGgoWChQKEQoOCgwKCgoICgYKBQoDCgIKAAn/Cf0J/An6CfkJ9wn1CfMJ8QnvCe0J6wnoCeYJ4wngCd0J2gnXCdQJ0QnOCcoJxwnECcAJvQm5CbUJsgmuCaoJpgmiCZ4JmgmWCZIJjgmJCYUJgQl8CXcJcwluCWkJZQlgCVsJVwlSCU0JSAlECT8JOgk2CTEJLQkoCSQJHwkaCRYJEQkNCQgJBAj/CPoI9gjxCOwI5wjiCN0I2AjTCM4IyAjDCL4IuAizCK4IqAijCJ4ImAiTCI4IiQiECH4IeQh0CG8IaghlCGAIWghVCFAISwhFCEAIOgg0CC8IKQgjCBwIFggQCAkIAgf7B/QH7QfmB98H2AfQB8kHwQe6B7IHqwejB5wHlQeNB4YHfwd4B3EHagdjB10HVgdQB0kHQwc8BzYHMAcpByMHHQcXBxEHCgcEBv4G9wbxBuoG5AbdBtYG0AbJBsIGuwa1Bq4GpwagBpkGkgaMBoUGfgZ4BnEGawZlBl4GWAZSBkwGRwZBBjsGNgYwBisGJgYhBhsGFgYRBgwGBwYCBf0F+AXzBe4F6QXjBd4F2QXTBc4FyQXDBb0FuAWyBa0FpwWhBZsFlgWQBYoFhQV/BXkFdAVuBWkFYwVeBVgFUwVOBUgFQwU+BTkFNAUvBSoFJQUgBRsFFwUSBQ0FCAUDBP4E+gT1BPAE6wTmBOEE3ATXBNIEzQTIBMMEvgS5BLMErgSpBKQEngSZBJQEjwSJBIQEfwR6BHUEcARrBGYEYgRdBFkEVQRQBEwESQRFBEIEPgQ7BDgENQQzBDAELgQsBCoEKAQmBCQEIwQiBCAEHwQeBB0EHAQbBBoEGgQZBBgEGAQXBBYEFgQVBBUEFAQUBBQEEwQTBBMEEgQSBBEEEQQQBBAEDwQPBA4EDQQMBAsECgQIBAcEBQQDBAID/wP9A/sD+AP2A/MD8APuA+sD6QPmA+QD4QPfA94D3APaA9kD2QPYA9gD2APYA9kD2gPbA9wD3gPgA+ID4wPlA+cD6QPrA+wD7gPvA+8D8APwA/AD7wPuA+0D6wPqA+cD5QPiA+AD3QPaA9cD1QPSA9ADzgPMA8sDygPJA8kDygPLA8wDzgPQA9MD1gPZA90D4APkA+gD6wPuA/ED9AP2A/cD+AP4A/cD9QPyA+8D6gPlA94D1wPPA8YDvAOxA6YDmwOOA4IDdgNpA10DUANEAzgDLQMiAxgDDwMGAv8C+ALyAu0C6ALlAuIC4ALfAt8C3wLfAuAC4gLjAuUC5gLoAukC6wLrAuwC6wLrAuoC6ALlAuIC3gLZAtQCzgLIAsECugKyAqoCogKaApECiQKBAnoCcwJsAmYCYQJdAlkCVwJVAlUCVgJYAlsCXwJkAmoCcQJ6AoMCjQKXAqMCrgK7AscC1ALhAu0C+gMGAxEDHAMnAzADOQNBA0gDTgNTA1cDWgNcA1wDXANbA1kDVgNSA04DSQNDAz0DNwMwAyoDIwMcAxUDDwMIAwIC/AL2AvAC6wLmAuIC3QLZAtUC0gLOAsoCxwLDAsACvAK5ArUCsQKsAqgCowKeApkCkwKOAogCgQJ7AnUCbgJoAmECWwJUAk4CSAJCAjwCNgIxAi0CKAIkAiECHQIbAhgCFgIVAhQCEwISAhICEwITAhQCFQIWAhgCGQIbAh0CHwIhAiMCJQInAikCKwItAjACMgI0AjYCOAI6AjwCPgJAAkICQwJFAkYCSAJKAksCTAJNAk8CUAJRAlICUwJUAlUCVgJXAlcCWAJZAloCWwJcAl0CXgJfAmECYgJkAmYCaAJqAmwCbgJxAnMCdgJ5AnwCfwKCAoUCiQKMApACkwKXApoCngKiAqUCqQKsArACswK3AroCvQLBAsQCxwLLAs4C0QLUAtgC2wLeAuEC5QLoAusC7gLyAvUC+AL7Av4DAgMFAwgDCwMOAxEDFAMXAxkDHAMeAyEDIwMmAygDKwMtAy8DMQM0AzYDOAM7Az0DPwNCA0QDRwNKA0wDTwNSA1UDWANbA14DYQNjA2YDaQNrA20DcANyA3QDdQN2A3cDeAN4A3kDeAN4A3cDdgN1A3MDcQNvA20DagNoA2UDYgNfA1wDWgNXA1QDUgNPA00DSwNJA0gDRwNGA0UDRQNFA0UDRgNHA0gDSQNLA00DTwNSA1QDVwNaA10DYANjA2cDagNtA3ADcwN2A3oDfAN/A4IDhAOGA4kDigOMA44DjwOQA5EDkgOSA5MDkwOTA5IDkgORA5EDkAOPA44DjAOLA4oDiAOHA4UDhAOCA4EDgAN+A30DfAN7A3oDegN5A3kDeQN5A3kDeQN6A3oDewN9A34DgAOBA4MDhgOIA4oDjQOQA5MDlgOaA50DoAOkA6cDqwOvA7IDtgO5A7wDwAPDA8YDyQPMA84D0QPTA9UD1wPZA9oD3APdA94D3wPhA+ED4gPjA+QD5QPmA+cD6QPqA+wD7gPwA/ID9QP4A/sD/gQCBAYECgQPBBQEGQQeBCQEKQQvBDUEOwRCBEgETgRVBFsEYgRoBG8EdQR7BIIEiASOBJUEmwShBKcErgS0BLoEwQTHBM0E1ATaBOEE5wTuBPUE+wUBBQgFDgUVBRsFIQUmBSwFMQU2BToFPwVDBUYFSQVMBU8FUQVTBVQFVQVWBVYFVgVWBVYFVgVVBVUFVQVUBVQFVAVUBVQFVAVVBVYFVwVZBVoFXQVfBWIFZgVpBW0FcQV2BXsFfwWFBYoFjwWVBZoFoAWlBasFsAW2BbsFwAXFBcoFzwXTBdgF3AXgBeMF5wXqBe0F8AXzBfUF+AX6BfwF/gYABgIGBAYFBgcGCQYLBgwGDgYQBhMGFQYYBhoGHQYhBiQGKAYsBjAGNQY6BkAGRQZLBlIGWQZgBmcGbwZ3Bn8GhwaPBpgGoQaqBrMGvAbFBs0G1gbfBucG8Ab4BwAHBwcPBxYHHAcjBykHLwc0BzoHPwdDB0gHTAdQB1QHWAdbB18HYwdmB2oHbQdxB3UHeQd9B4EHhgeKB48HlAeZB58HpAeqB7AHtge8B8IHyAfPB9UH2wfhB+cH7QfzB/kH/wgECAoIDwgUCBoIHwgkCCkILQgyCDcIPAhBCEYITAhRCFcIXAhiCGkIbwh2CHwIgwiKCJIImQihCKgIsAi4CL8IxwjOCNUI3AjjCOoI8Aj2CPsJAAkFCQoJDgkSCRUJGQkcCR8JIgkkCScJKQksCS4JMQkzCTYJOQk8CT8JQwlGCUoJTglSCVYJWwlfCWQJaAltCXEJdQl5CX0JgQmFCYgJiwmNCZAJkgmTCZUJlgmXCZgJmAmZCZoJmgmbCZsJnAmdCZ8JoQmjCaUJqAmsCbAJtAm5Cb4JxAnKCdEJ1wnfCeYJ7gn2Cf4KBgoOChYKHQolCiwKMwo6CkAKRgpLClEKVQpZCl0KYQpkCmcKaQprCm0KbwpxCnMKdAp2CngKeQp7Cn0KgAqCCoUKiAqLCo4KkgqWCpoKngqiCqYKqgquCrIKtgq6Cr0KwArDCsYKxwrJCsoKywrLCsoKyQrHCsUKwgq/CrwKtwqzCq4KqQqjCp0KlwqRCosKhQp/CnkKcwptCmgKYwpeClkKVQpRCk4KSwpICkYKRApCCkEKQQpACkAKQApBCkEKQgpDCkQKRQpGCkgKSQpKCksKTApNCk4KTwpQClEKUgpTClMKVApVClYKVwpZCloKWwpdCl8KYQpjCmUKaAprCm0KcApzCnYKegp9CoAKgwqGCokKiwqNCo8KkQqSCrYKtgq1CrQKsgqwCq0KqgqmCqIKnQqYCpMKjQqHCoEKegp0Cm0KZwpgCloKVApOCkkKQwo+CjoKNQoxCi4KKwooCiUKIwogCh8KHQobChoKGAoXChUKFAoSChAKDwoNCgoKCAoFCgMJ/wn8CfkJ9gnyCe4J6wnnCeMJ3wnbCdcJ0wnPCcsJyAnECcAJvQm5CbYJswmvCawJqQmlCaIJnwmcCZgJlQmSCY4JigmHCYMJfwl7CXcJcwlvCWoJZgliCV4JWQlVCVAJTAlHCUMJPgk5CTUJMAksCScJIgkdCRkJFAkPCQoJBQj/CPoI9QjvCOoI5AjeCNkI0wjNCMcIwQi6CLQIrgioCKIInAiVCI8IiQiDCH0IdghwCGoIZAheCFcIUQhLCEQIPgg3CDEIKggjCB0IFggPCAgIAQf6B/MH7AfmB98H2AfQB8kHwge8B7UHrgenB6AHmgeTB40HhgeAB3kHcwdsB2YHXwdZB1IHTAdFBz8HOAcxByoHJAcdBxYHDwcIBwAG+QbyBusG4wbcBtUGzgbGBr8GuAaxBqoGowacBpYGjwaIBoIGewZ1Bm8GaAZiBlwGVgZQBkoGRAY+BjgGMgYsBiUGHwYZBhMGDQYGBgAF+gXzBe0F5gXgBdkF0gXMBcUFvwW5BbIFrAWlBZ8FmQWTBY0FhwWCBXwFdwVxBWwFZwViBV0FWAVTBU4FSQVFBUAFOwU3BTIFLQUoBSMFHgUZBRQFDwUKBQQE/wT5BPQE7gTpBOME3QTXBNIEzATGBMAEuwS1BLAEqgSlBKAEmgSVBJAEiwSGBIEEfQR4BHMEbgRpBGUEYARbBFYEUQRMBEcEQgQ9BDgEMgQtBCgEIwQeBBkEFAQPBAoEBQQAA/wD9wPzA+8D6wPoA+QD4QPeA9sD2APVA9MD0QPOA80DywPJA8cDxgPFA8MDwgPBA8ADwAO/A74DvgO9A70DvQO9A7wDvQO9A70DvQO9A74DvgO+A78DvwO/A78DvwO/A74DvgO9A7wDvAO6A7kDuAO2A7QDswOxA68DrQOrA6kDpwOlA6QDowOiA6EDoAOgA6ADoQOiA6MDpQOmA6gDqwOtA7ADsgO1A7cDugO8A74DwAPBA8IDwwPDA8MDwgPBA78DvQO6A7cDtAOwA6wDqAOkA6EDnQOaA5YDlAOSA5ADjwOOA48DkAOSA5QDmAOcA6ADpgOrA7EDtwO+A8QDywPRA9cD3APhA+UD6APqA+sD6wPqA+cD4wPeA9gD0APIA74DswOnA5sDjgOAA3IDYwNVA0YDOAMqAxwDDwMDAvcC7ALiAtkC0QLKAsQCvwK7ArgCtgK1ArQCtAK1ArYCtwK5ArsCvAK+Ar8CwQLBAsICwgLBAsACvgK7ArgCtAKvAqoCpAKeApcCjwKIAoACeAJxAmkCYQJaAlMCTQJHAkICPQI6AjgCNgI2AjcCOQI8AkACRgJNAlUCXQJnAnICfgKKApcCpQKzAsECzwLdAusC+AMFAxIDHgMpAzMDOwNDA0oDTwNUA1cDWANZA1gDVgNTA08DSwNFAz8DNwMwAygDIAMYAxADCAMAAvgC8ALpAuMC3ALXAtECzALIAsQCwQK9AroCuAK1ArICsAKtAqsCqAKkAqECnQKZApUCkAKKAoUCfgJ4AnECagJjAlsCUwJLAkQCPAI0Ai0CJQIeAhgCEQILAgYCAAH8AfcB9AHwAe4B6wHpAegB5gHlAeUB5AHkAeQB5QHlAeYB5gHnAegB6QHqAewB7QHuAfAB8QHzAfQB9gH4AfkB+wH9Af8CAQIEAgYCCAIKAgwCDgIQAhICFAIWAhgCGgIcAh4CHwIhAiICIwIkAiYCJwIoAikCKgIrAiwCLQIvAjACMgI0AjYCOAI6AjwCPwJCAkUCSAJMAk8CUwJXAlsCXwJjAmgCbAJwAnQCeQJ9AoEChQKJAo0CkAKUApcCmgKeAqECpAKnAqoCrAKvArECtAK2ArkCuwK9Ar8CwgLEAsYCyALKAswCzgLQAtIC1ALWAtcC2QLaAtwC3QLfAuAC4QLjAuQC5QLnAugC6gLrAu0C7wLxAvMC9gL4AvsC/gMBAwQDCAMLAw8DEwMXAxsDHwMjAycDKwMvAzIDNgM5AzwDPwNBA0MDRQNHA0gDSANIA0gDRwNHA0UDQwNCAz8DPQM6AzcDNAMxAy4DKwMoAyUDIgMfAx0DGwMZAxcDFQMUAxMDEwMSAxMDEwMUAxUDFgMYAxoDHAMeAyEDJAMnAyoDLQMwAzQDNwM7Az8DQgNGA0kDTANPA1IDVQNYA1oDXANfA2ADYgNjA2QDZQNlA2UDZQNkA2MDYgNgA18DXQNbA1gDVgNTA1ADTgNLA0gDRQNCAz8DPQM6AzgDNgM0AzIDMQMvAy4DLgMtAy0DLQMuAy4DLwMwAzIDMwM1AzcDOgM8Az4DQQNEA0cDSgNNA1ADUwNWA1oDXQNgA2MDZgNpA2wDbwNyA3UDeAN6A30DfwOBA4MDhQOHA4kDiwONA48DkAOSA5QDlQOXA5kDmwOcA58DoQOjA6UDqAOrA64DsQO1A7gDvAPBA8UDyQPOA9MD2APdA+MD6APuA/MD+AP+BAMECQQOBBMEGAQdBCMEJwQsBDEENQQ6BD8EQwRIBEwEUQRWBFoEXwRkBGkEbgRzBHkEfgSEBIoEkASWBJwEogSoBK4EtAS6BMAExgTMBNEE1gTbBOAE5QTpBO0E8QT1BPgE/AT/BQIFBQUHBQoFDAUPBRIFFAUXBRoFHAUfBSMFJgUpBS0FMAU0BTgFPAVABUUFSQVNBVIFVgVbBV8FZAVoBWwFcAV1BXkFfQWBBYUFiAWMBZAFlAWYBZwFnwWjBacFqwWvBbMFtwW7BcAFxAXIBcwF0AXVBdkF3QXhBeYF6gXuBfIF9gX6Bf0GAQYFBgkGDAYQBhQGGAYcBiAGJAYoBiwGMQY2BjsGQAZGBkwGUwZaBmEGaAZwBnkGgQaKBpMGnQanBrEGuwbGBtAG2wbmBvAG+wcFBxAHGgckBy4HOAdBB0oHUgdaB2IHagdxB3cHfgeEB4kHjgeUB5gHnQehB6UHqQeuB7EHtge6B74HwgfHB8sH0AfVB9oH4AflB+sH8Qf3B/0IBAgKCBEIGAgeCCUIKwgyCDgIPghECEoITwhVCFoIXwhjCGgIbAhwCHUIeQh9CIEIhQiJCI4IkgiXCJwIoQinCK0Iswi5CMAIxwjPCNcI3gjnCO8I9wkACQkJEQkaCSIJKgkyCToJQglJCVAJVwldCWMJaQlvCXQJeQl+CYMJhwmLCZAJlAmYCZwJoAmkCagJrAmxCbUJuQm+CcIJxgnKCc4J0gnWCdoJ3QngCeMJ5QnnCegJ6QnqCeoJ6gnpCegJ5wnmCeQJ4gngCd4J3AnaCdgJ1wnWCdUJ1AnUCdQJ1QnXCdkJ2wneCeIJ5gnrCfAJ9Qn7CgEKCAoPChUKHAojCikKMAo3Cj0KQgpICk0KUgpWCloKXgphCmQKZgpoCmoKawpsCm0KbQptCm4KbgptCm0KbQptCm0KbApsCmwKbApsCmwKbApsCmwKbApsCmwKbApsCmwKawprCmsKagppCmgKZwpmCmUKYwpiCmAKXgpcCloKWApWClQKUgpQCk4KTApKCkkKRwpGCkUKRApDCkMKQwpDCkQKRQpGCkgKSQpLCk4KUQpTClcKWgpeCmIKZgpqCm4Kcgp2CnoKfgqCCoUKiQqMCo8KkgqUCpYKmAqaCpsKnAqdCp0KnQqdCp0KnQqdCpwKnAqcCpsKmwqbCpsKmwqcCpwKnQqeCp8KoQqiCqQKpgqoCqoKrAquCrAKsgqzCrQKtQq2CskKyArHCsUKwwrBCr4Kuwq3CrMKrgqqCqUKnwqaCpQKjgqICoIKfAp2CnAKawplCmAKWwpWClIKTgpKCkcKQwpBCj4KPAo6CjgKNgo0CjIKMQovCi0KKwopCiYKJAohCh4KGwoXChMKDwoLCgcKAgn+CfkJ9AnvCeoJ5QngCdwJ1wnSCc4JygnGCcIJvgm7CbgJtQmyCa8JrAmqCagJpQmjCaEJnwmcCZoJmAmWCZMJkQmOCYwJiQmGCYMJgAl9CXkJdglyCW4JaglmCWIJXglZCVQJTwlKCUUJQAk6CTQJLgkoCSIJHAkVCQ4JBwkBCPkI8gjrCOQI3AjVCM0Ixgi/CLcIsAipCKIImgiTCIwIhQh+CHcIcQhqCGMIXAhVCE4IRwhACDkIMggqCCMIGwgUCAwIBQf9B/YH7gfmB98H1wfQB8gHwQe6B7MHrAelB58HmAeSB4wHhQd/B3kHdAdtB2gHYgdbB1UHTwdJB0IHOwc0By0HJgcfBxcHDwcIBwAG9wbvBucG3gbWBs4Gxga+BrUGrgamBp4GlwaQBogGggZ7BnQGbgZoBmEGWwZVBk8GSgZEBj4GOAYyBiwGJgYgBhkGEwYMBgYF/wX4BfEF6gXiBdsF1AXMBcQFvQW1Ba4FpgWfBZcFkAWJBYIFewV0BW4FaAVhBVwFVgVRBUwFRwVCBT0FOQU1BTAFLAUpBSUFIQUdBRkFFQURBQ0FCQUEBQAE+wT2BPAE6wTlBN8E2QTTBMwExgS/BLgEsQSqBKMEnASVBI4EhwSBBHoEdARuBGcEYgRcBFYEUQRMBEcEQgQ9BDgENAQvBCoEJQQgBBwEFwQRBAwEBwQCA/wD9wPxA+wD5gPhA9sD1gPQA8sDxgPAA7wDtwOyA64DqgOmA6MDnwOcA5kDlgOTA5EDjgOMA4oDhwOFA4MDgQN/A3wDegN4A3YDdANxA28DbQNrA2kDaANmA2QDYwNiA2EDYANgA18DXwNfA18DYANgA2EDYQNiA2MDZANlA2UDZgNnA2cDaANoA2gDaANnA2cDZgNmA2UDZANkA2MDYgNiA2IDYQNiA2IDYwNkA2UDZwNpA2sDbQNwA3MDdgN5A3wDfwOCA4UDhwOKA4sDjQONA44DjgONA4sDigOHA4QDgQN9A3kDdQNxA20DaQNlA2EDXgNbA1kDVwNXA1cDWANZA1wDYANkA2kDbwN2A30DhAOMA5MDmwOjA6oDsQO3A7wDwAPEA8YDxwPGA8UDwQO9A7cDsAOnA54DkwOHA3oDbQNfA1EDQgM0AyUDFwMIAvsC7gLiAtYCzALCArkCsgKrAqYCoQKdApoCmAKXApcClgKXApcCmAKZApoCmgKbApwCnAKbApoCmQKXApUCkgKOAooChQKAAnoCdAJuAmcCYAJZAlICSgJDAjwCNgIvAioCJAIgAhwCGQIXAhYCFgIWAhgCHAIgAiYCLAI0Aj0CSAJTAl8CawJ5AocClgKlArQCwwLSAuEC7wL9AwoDFgMhAyoDMwM6A0ADRANHA0kDSANHA0QDPwM6AzMDKwMjAxoDEAMFAvsC8ALlAtoC0ALGAr0CtAKrAqQCnQKXApICjQKKAocChAKCAoECfwJ/An4CfQJ8AnsCegJ4AncCdAJxAm4CagJmAmECWwJVAk8CSAJAAjkCMQIpAiECGQIRAgoCAgH7AfQB7QHnAeIB3AHYAdMBzwHMAckBxgHEAcIBwAG/Ab4BvQG8AbsBuwG7AbsBuwG7AbsBuwG7AbwBvQG9Ab4BvwHAAcIBwwHFAccByQHLAc0BzwHSAdQB1wHZAdwB3gHhAeQB5gHoAeoB7AHuAe8B8QHyAfMB9AH1AfUB9gH2AfcB+AH4AfkB+gH7AfwB/gH/AgICBAIGAgkCDAIQAhQCGAIcAiECJQIqAi8CNAI5Aj4CQwJIAk0CUgJWAlsCXwJjAmYCagJtAnACcwJ2AngCegJ8An4CfwKBAoIChAKFAoYChwKJAooCiwKMAo4CjwKQApECkwKUApUClwKYApoCmwKcAp4CnwKgAqECogKkAqUCpgKnAqkCqgKsAq0CrwKwArICtAK3ArkCuwK+AsECxALHAsoCzgLRAtUC2ALcAuAC4wLnAuoC7QLwAvMC9QL3AvkC+wL8Av0C/gL+Av8C/gL+Av0C/AL7AvoC+AL3AvUC8wLyAvAC7wLtAusC6gLpAugC5wLmAuYC5QLlAuUC5QLlAuYC5wLnAugC6QLqAusC7ALuAu8C8QLyAvQC9gL4AvoC/AL+AwADAgMEAwYDCAMLAw0DDwMRAxMDFQMXAxgDGgMbAxwDHQMdAx4DHgMdAx0DHAMaAxkDFwMVAxMDEAMOAwsDCAMFAwIC/wL8AvkC9gLzAvEC7wLtAusC6QLoAucC5wLmAuYC5wLnAugC6QLqAusC7QLvAvAC8gL0AvYC+AL6AvwC/gMAAwMDBQMHAwkDCwMNAw4DEAMSAxQDFgMYAxsDHQMfAyEDIwMlAygDKgMsAy8DMQM0AzcDOQM8Az8DQQNEA0cDSgNNA1ADUwNWA1kDXANgA2MDZgNqA24DcQN1A3kDfQOBA4YDigOOA5IDlgObA58DowOnA6sDrwOzA7cDuwO/A8IDxgPJA80D0APTA9cD2gPeA+ED5QPpA+0D8QP1A/oD/gQDBAgEDgQTBBgEHgQkBCoEMAQ2BDwEQgRIBE4EVARaBF8EZQRqBG8EdQR6BH4EgwSIBI0EkQSWBJoEnwSkBKkErQSyBLgEvQTDBMgEzgTUBNoE4ATnBO0E8wT5BQAFBgUMBRIFFwUdBSIFJwUrBS8FNAU3BTsFPgVBBUUFSAVKBU0FUAVTBVYFWQVdBWAFZAVpBW0FcgV3BX0FgwWJBY8FlgWdBaUFrAW0BbwFxAXLBdMF2wXjBeoF8gX5BgAGBwYOBhUGGwYhBigGLgY0BjoGPwZFBksGUQZXBl0GYwZqBnAGdwZ+BoUGjAaUBpwGpAatBrYGvgbIBtEG2gbkBu4G9wcBBwsHFQcfBykHMgc8B0UHTgdXB2AHaAdwB3gHfweGB40HkweZB58HpAepB64Hsge3B7sHvwfCB8YHygfNB9EH1QfZB90H4QfmB+sH8Af1B/sIAQgHCA4IFQgcCCMIKggyCDkIQQhICFAIVwheCGUIbAhyCHgIfgiDCIgIjQiRCJUImQidCKAIpAinCKoIrgixCLUIuQi8CMEIxQjKCNAI1QjbCOII6QjwCPcI/wkHCQ8JGAkgCSkJMgk6CUMJSwlTCVsJYwlqCXIJeQl/CYYJjAmSCZgJngmjCagJrgmzCbgJvQnCCccJzAnRCdUJ2gnfCeQJ6AntCfEJ9Qn5Cf0KAAoDCgYKCAoJCgsKDAoMCgwKDAoLCgoKCQoHCgYKBAoCCgAJ/gn8CfsJ+Qn4CfcJ9wn3CfgJ+Qn6CfwJ/woCCgUKCQoNChEKFgobCiAKJgorCjAKNgo7CkAKRQpKCk8KUwpXClsKXgphCmQKZwppCmsKbApuCm8KcApxCnIKcwpzCnMKdAp0CnQKdApzCnMKcgpyCnEKcApuCm0KawppCmcKZQpiCl8KXApZClUKUgpOCkkKRQpBCj0KOAo0CjAKKwonCiMKHwobChgKFQoSCg8KDQoKCgkKBwoGCgYKBgoGCgYKBwoICgoKDAoOChEKFAoYChwKIAolCioKMAo2CjwKQgpJClAKWApfCmcKbwp3Cn4KhgqOCpYKngqlCq0Kswq6CsAKxgrLCs8K1ArXCtoK3QrfCuAK4QriCuIK4grhCuAK3wreCtwK2wrZCtcK1grUCtMK0grRCtAKzwrOCs4KzQrNCs0KzArMCswKywrKCt4K3QrbCtoK2QrXCtYK1ArSCtAKzQrKCscKwwq/CrsKtwqyCq4KqQqjCp4KmQqUCo4KiQqECn8Kegp1CnEKbQppCmUKYQpeCloKVwpUClIKTwpMCkkKRwpECkEKPgo7CjgKNQoxCi4KKgomCiIKHgoZChUKEQoMCgcKAwn+CfkJ9QnwCewJ5wnjCd8J2wnXCdQJ0AnNCckJxgnDCcAJvQm6CbgJtQmyCbAJrQmrCagJpQmjCaAJnQmaCZcJlAmRCY0JigmGCYIJfgl5CXUJcAlrCWUJYAlaCVQJTQlGCT8JOAkwCSkJIQkZCRAJCAkACPcI7gjmCN0I1QjNCMUIvQi1CK0IpgifCJgIkQiKCIQIfQh3CHEIawhkCF4IWAhRCEsIRAg9CDYILwgnCB8IFwgPCAcH/gf2B+0H5AfbB9IHyQfBB7gHsAenB58HlweQB4gHgQd6B3MHbAdmB18HWQdSB0sHRQc+BzcHMAcpByEHGQcRBwgHAAb3Bu4G5QbbBtEGyAa+BrUGqwaiBpgGjwaGBn4GdgZuBmYGXwZYBlEGSwZFBj8GOgY0Bi8GKgYlBiAGGwYWBhAGCwYGBgEF+wX1Be8F6QXjBd0F1gXQBckFwgW8BbUFrgWnBaAFmQWSBYsFhAV9BXYFcAVpBWMFXQVXBVEFSwVFBUAFOgU1BTAFKwUmBSEFHQUYBRQFEAULBQcFAwT/BPsE9gTyBO4E6QTlBOAE2wTVBNAEygTEBL4EuASyBKsEpASdBJYEjgSHBIAEeQRxBGoEYwRcBFUETgRIBEEEOwQ1BC8EKQQkBB4EGQQTBA4ECAQDA/0D9wPxA+sD5QPfA9gD0gPLA8QDvQO2A68DqAOhA5sDlAONA4cDgQN7A3YDcQNsA2gDZANgA10DWgNYA1UDUwNSA1ADTgNNA0sDSgNIA0cDRQNDA0EDPgM8AzkDNgMzAzADLQMpAyYDIwMfAxwDGQMXAxQDEgMQAw4DDQMMAwsDCwMLAwwDDAMOAw8DEAMSAxMDFQMXAxgDGgMbAxwDHQMeAx4DHwMfAx8DHwMeAx4DHQMdAxwDHAMcAxwDHAMdAx0DHwMgAyIDJAMnAyoDLQMwAzQDOAM7Az8DQwNGA0kDTANOA1ADUQNSA1IDUgNRA08DTQNKA0cDQwM/AzsDNwMyAy4DKgMmAyMDIQMfAx4DHQMeAx8DIgMlAykDLgM0AzoDQQNIA1ADWANfA2cDbgN1A3sDgQOFA4gDigOLA4sDiQOGA4IDfAN1A20DZANZA04DQgM2AykDHAMOAwEC9ALnAtsC0ALEAroCsQKoAqACmgKUAo8CigKHAoQCggKAAn8CfgJ+An0CfQJ9AnwCfAJ7AnoCeQJ3AnUCcwJwAm0CaQJlAmACXAJWAlECSwJFAj8COQIyAiwCJgIfAhoCFAIOAgkCBAIAAf0B+gH3AfYB9gH2AfgB+wH+AgMCCQIRAhkCIwItAjkCRgJUAmICcQKAApACoAKwAsACzwLeAuwC+QMEAw8DGAMgAyYDKgMtAy4DLAMqAyUDHwMXAw4DBAL5Au0C4ALTAsUCtwKqApwCjwKDAncCbAJiAlkCUQJLAkUCQAI9AjoCOAI3AjcCNwI4AjgCOgI6AjsCPAI8AjwCPAI7AjkCNwI0AjECLQIoAiMCHQIYAhECCgIEAf0B9gHvAekB4gHcAdYB0AHLAcYBwgG+AboBtwG0AbEBrwGtAasBqQGoAaYBpQGkAaMBogGhAaABoAGfAZ4BngGeAZ4BngGeAZ8BoAGhAaIBpAGlAacBqQGsAa4BsQG0AbcBugG9Ab8BwgHFAccByQHMAc0BzwHQAdEB0gHTAdMB0wHTAdMB0wHTAdMB0wHTAdQB1AHVAdYB2AHaAdwB3wHiAeUB6QHtAfEB9gH7AgACBQIKAhACFQIaAh8CJQIpAi4CMgI2AjoCPQJAAkMCRQJHAkkCSgJLAkwCTAJMAkwCTAJMAkwCSwJLAksCSwJKAksCSwJLAkwCTAJNAk4CTwJRAlICVAJVAlcCWQJbAl0CXwJhAmMCZQJoAmoCbAJuAnACcgJ0AnYCeAJ6AnwCfgKAAoIChAKHAokCiwKOApACkwKVApcCmgKcAp4CoAKiAqQCpgKoAqkCqgKrAqwCrQKtAq4CrgKuAq0CrQKtAqwCrAKrAqsCqgKqAqkCqQKpAqkCqQKqAqoCqwKrAqwCrQKuArACsQKyArMCtAK1ArcCtwK4ArkCugK6AroCuwK7ArsCuwK6AroCugK5ArkCuQK5ArkCuQK5ArkCugK6ArsCvAK9Ar4CvwLAAsECwgLDAsMCxALEAsUCxQLFAsQCwwLDAsECwAK+ArwCugK3ArUCsgKwAq0CqgKoAqUCowKhAp8CnQKcApsCmgKaApoCmgKbApwCnQKeAqACoQKjAqUCpwKpAqwCrgKwArECswK1ArcCuAK5ArsCvAK9Ar4CvwLAAsECwgLDAsQCxQLGAsgCyQLLAs0C0ALSAtQC1wLaAt0C4ALkAucC6wLuAvIC9QL5Av0DAAMEAwcDCgMOAxEDFAMXAxoDHQMgAyMDJQMoAysDLgMwAzMDNgM4AzsDPgNBA0QDRwNKA00DUANTA1YDWQNcA18DYgNmA2kDbQNwA3QDeAN8A4ADhAOJA40DkgOXA5wDoQOnA6wDsgO4A74DxAPKA9AD1QPbA+ED5gPsA/ED9gP7A/8EBAQIBAwEEAQUBBcEGwQfBCIEJgQqBC4EMgQ3BDwEQQRGBEwEUgRZBF8EZwRuBHYEfQSGBI4ElgSeBKYErgS2BL0ExATLBNIE2ATeBOME6ATtBPIE9gT7BP8FAwUHBQsFEAUVBRoFHwUkBSsFMQU4BUAFSAVQBVkFYgVsBXYFgQWLBZYFoQWsBbcFwgXNBdgF4gXtBfcGAQYKBhQGHQYmBi8GNwZABkgGUAZYBmAGaAZwBngGgAaHBo8GlwafBqcGrwa2Br4GxgbOBtUG3QbkBusG8gb5BwAHBgcMBxMHGQcfByQHKgcwBzUHOgdAB0UHSgdPB1QHWQdeB2MHaAdtB3EHdgd6B34HggeGB4oHjgeRB5QHmAebB54HoQekB6YHqQetB7AHswe3B7sHvwfEB8gHzgfTB9kH3wfmB+0H9Af8CAMICwgTCBsIJAgsCDMIOwhDCEoIUQhXCF0IYwhoCG4Icgh2CHoIfgiBCIUIiAiLCI4IkQiUCJgImwifCKMIpwisCLEItgi8CMIIyQjPCNYI3QjkCOwI8wj7CQIJCgkRCRkJIAknCS4JNQk7CUEJSAlOCVQJWglgCWUJawlxCXYJfAmCCYgJjgmUCZoJoAmmCawJsgm3Cb0JwwnJCc4J0wnYCdwJ4QnlCegJ7AnvCfIJ9An3CfkJ+wn9Cf8KAQoDCgUKBwoKCgwKDwoTChYKGgoeCiMKKAotCjMKOQo/CkUKSwpRClgKXgplCmsKcQp3CnwKggqHCosKkAqUCpcKmwqeCqEKowqmCqgKqgqsCq4KsAqxCrMKtQq3CrgKugq8Cr4KvwrBCsMKxArFCsYKxwrHCscKxwrGCsUKwwrBCr4Kuwq3CrMKrgqoCqMKnQqWCo8KiAqBCnoKcgprCmMKXApUCk0KRgpACjkKMwotCicKIgodChgKFAoQCg0KCQoGCgQKAQn/Cf4J/An7CfsJ+gn7CfsJ/Qn+CgAKAwoHCgsKEAoWChwKIwoqCjIKOwpFCk8KWQpkCnAKewqHCpMKngqqCrYKwQrMCtYK3wroCvEK+Ar/CwQLCQsNCxELEwsUCxULFQsUCxMLEQsPCwwLCQsGCwIK/wr7CvgK9QrxCu8K7ArpCucK5QrjCuIK4ArfCvsK+gr5CvkK+Ar3CvcK9gr2CvUK9AryCvEK7wrsCuoK5wrjCt8K2wrWCtEKzArGCsAKugq0Cq4KpwqhCpsKlQqPCokKhAp/CnoKdQpxCm0KagpnCmQKYQpfCl0KWwpaClgKVwpVClQKUgpRClAKTgpMCkoKRwpFCkIKPwo7CjgKNAowCisKJwoiCh0KGAoTCg0KCAoCCf0J9wnyCewJ5wniCdwJ1wnSCc0JyAnDCb4Jugm1CbAJrAmnCaMJngmaCZUJkAmLCYYJgQl8CXYJcAlqCWQJXQlWCU8JRwk/CTcJLwkmCR0JFAkLCQEI+AjuCOUI3AjTCMoIwQi4CLAIqAigCJkIkgiLCIUIfwh5CHMIbQhoCGMIXQhYCFMITQhHCEEIOwg0CC0IJQgeCBUIDQgEB/sH8QfoB94H1AfKB8AHtgesB6IHmQeQB4cHfgd2B20HZgdeB1cHTwdIB0EHOgcyBysHIwcbBxMHCwcCBvkG7wbmBtwG0QbGBrsGsAalBpoGjwaEBnoGcAZmBlwGUwZLBkMGPAY1Bi8GKQYkBiAGHAYYBhQGEQYOBgsGCAYFBgIF/wX8BfkF9gXyBe4F6gXmBeIF3QXYBdQFzwXKBcUFwAW7BbYFsgWtBagFowWeBZoFlQWQBYsFhgWABXsFdQVvBWkFYwVdBVYFTwVIBUEFOQUyBSoFIwUbBRMFDAUEBP0E9QTuBOcE4ATZBNMEzATGBMAEugS0BK4EqASiBJwElgSQBIoEhAR+BHgEcgRrBGUEXwRZBFIETARGBEAEOgQ0BC4EKAQiBB0EFwQRBAsEBgQAA/oD9APtA+cD4APZA9EDygPCA7oDsQOpA6ADlwOOA4UDewNyA2kDYANYA1ADSANAAzkDMgMsAyYDIQMcAxgDFAMRAw8DDAMKAwkDBwMGAwUDBAMDAwIDAAL/Av4C/AL6AvgC9gL0AvEC7wLsAukC5gLjAuAC3QLaAtgC1gLUAtIC0QLQAs8CzwLPAs8C0ALRAtIC0wLVAtYC2ALaAtwC3QLeAuAC4ALhAuIC4gLiAuEC4ALgAt4C3QLcAtsC2QLYAtcC1gLVAtUC1QLWAtcC2ALaAtwC3wLiAuYC6QLuAvIC9gL7Av8DAwMHAwoDDgMQAxIDEwMUAxQDEwMSAxADDQMKAwYDAgL9AvkC9ALvAusC5wLjAuAC3gLcAtsC2wLcAt4C4QLlAuoC7wL1AvwDAwMKAxIDGQMgAycDLQMzAzgDPAM/A0ADQQNAAz4DOgM2AzADKQMhAxgDDgMEAvkC7QLiAtYCywK/ArQCqQKfApYCjQKEAn0CdgJwAmsCZgJiAl8CXAJaAlgCVgJVAlMCUgJRAlACTgJNAksCSgJIAkUCQwJAAj4COwI3AjQCMAItAikCJQIgAhwCFwISAg0CCAIDAf4B+QH0Ae8B6gHmAeEB3gHaAdcB1QHUAdQB1AHWAdkB3gHjAeoB8wH8AgcCFAIhAjACQAJQAmECcgKEApYCpwK4AskC2ALmAvMC/gMHAw4DFAMXAxgDFwMUAw8DBwL+AvMC5wLZAsoCuwKqApkCiAJ4AmcCVwJIAjkCLAIgAhUCCwIDAfwB9wHyAe8B7QHsAewB7QHuAfAB8gH0AfYB+AH6AfsB/AH9Af0B/AH7AfkB9wH0AfAB7QHoAeQB3wHaAdUB0AHLAcYBwgG9AbkBtQGxAa4BqwGoAaUBowGhAZ8BnQGbAZoBmAGWAZUBkwGSAZABjwGOAYwBiwGKAYkBiAGHAYcBhwGHAYcBiAGJAYsBjAGOAZEBkwGWAZkBnAGfAaIBpQGoAasBrQGwAbIBtAG2AbcBuQG6AboBuwG7AbsBuwG7AboBugG6AboBugG7AbsBvQG+AcABwgHEAccBywHOAdIB1gHbAeAB5QHqAe8B9QH6Af8CBAIJAg0CEQIVAhkCHAIeAiECIgIkAiUCJQIlAiUCJAIjAiICIQIfAh0CHAIaAhgCFgIUAhMCEQIQAg8CDgIOAg0CDQIOAg4CDwIQAhICEwIVAhcCGQIbAh4CIQIjAiYCKQIrAi4CMQI0AjYCOQI8Aj4CQQJDAkYCSAJKAkwCTwJRAlMCVQJXAlkCWgJcAl4CXwJhAmICYwJkAmUCZgJmAmcCZwJnAmcCZgJmAmUCZQJkAmMCYgJhAmECYAJfAl8CXgJeAl4CXgJfAl8CYAJhAmMCZAJmAmgCagJsAm8CcQJzAnUCdwJ5AnsCfQJ+An8CgAKAAoECgQKAAoACfwJ+An0CfAJ7AnoCeAJ3AnYCdQJ0AnMCcgJyAnECcQJwAnACcAJwAnECcQJxAnECcAJwAnACbwJuAm0CawJqAmgCZgJjAmECXgJbAlgCVQJSAk8CTQJKAkgCRgJEAkICQgJBAkACQQJBAkICQwJFAkcCSQJMAk8CUQJUAlcCWgJdAmACYwJmAmgCagJsAm4CcAJxAnMCdAJ1AnYCdgJ3AngCeAJ5AnoCewJ9An4CgAKCAoQChwKJAo0CkAKTApcCmwKfAqQCqAKsArECtQK5Ar0CwQLFAskCzALQAtMC1gLYAtsC3QLfAuEC4wLlAuYC6ALpAusC7ALuAvAC8QLzAvUC+AL6AvwC/wMCAwUDCAMLAw4DEgMVAxkDHQMiAyYDKwMvAzQDOQM+A0QDSQNPA1QDWgNgA2YDbANyA3gDfgOEA4kDjwOUA5kDngOiA6cDqwOuA7EDtAO3A7oDvAO/A8EDwwPFA8gDygPNA9AD1APYA9wD4QPmA+wD8wP6BAEECQQRBBoEIwQsBDYEPwRJBFIEXARlBG4EdwSABIgEkASYBKAEpwSuBLYEvQTDBMsE0gTZBOEE6QTxBPoFAwUNBRcFIgUtBTgFRAVRBV0FagV3BYQFkQWeBasFuAXEBdAF2wXmBfEF/AYGBg8GGAYhBioGMwY7BkMGSwZUBlwGZAZtBnYGfwaIBpEGmwakBq4GtwbBBsoG0wbcBuUG7Qb1Bv0HAwcKBw8HFAcZBx0HIAcjByUHJwcpByoHKwcsBy0HLgcvBzAHMgc0BzYHOAc7Bz4HQQdFB0kHTQdSB1YHWwdfB2QHaAdtB3EHdQd5B30HgAeDB4YHiQeLB44HkAeTB5UHlweaB50HnwejB6YHqgeuB7IHtwe8B8IHxwfNB9MH2QfgB+YH7AfyB/kH/ggECAoIDwgUCBgIHAggCCQIJwgrCC0IMAgzCDUIOAg7CD0IQAhDCEYISQhNCFEIVQhZCF4IYwhoCG0Icwh4CH4IhAiKCJAIlQibCKEIpwisCLIIuAi9CMIIyAjNCNMI2QjeCOQI6gjwCPYI/QkECQsJEgkaCSEJKQkxCTkJQglKCVIJWwljCWwJdAl8CYQJjAmUCZsJowmqCbEJuAm/CccJzgnVCdwJ5AnsCfQJ/AoECg0KFgogCioKNAo+CkkKVApfCmsKdgqBCowKlwqiCq0KtwrBCssK1ArdCuUK7ArzCvoLAAsFCwoLDwsTCxcLGwseCyELJAsnCyoLLQswCzMLNQs4CzsLPgtBC0QLRwtJC0wLTgtPC1ELUgtTC1MLUgtRC08LTQtKC0YLQQs8CzcLMAsqCyILGgsSCwoLAQr5CvAK5wreCtUKzQrECrwKtAqtCqUKngqXCpEKiwqFCn8KeQp0Cm4KaQpkCl8KWQpUCk8KSgpFCkAKOwo3CjMKLworCigKJgokCiIKIgoiCiQKJgopCi4KMwo5CkEKSQpSClwKZwpzCn8KjAqZCqYKtArBCs4K2wroCvMK/wsJCxMLGwsjCykLLwszCzYLOQs6CzoLOgs5CzYLNAsxCy0LKQslCyELHAsYCxQLEAsMCwkLBgsDCwEK/wr9CyALHAsZCxcLFAsSCxALDgsMCwoLCAsGCwQLAgsACv0K+gr3CvQK8ArtCugK5ArfCtoK1QrPCsoKxAq+CrkKswquCqkKpAqgCpwKmQqWCpMKkgqQCo8KjwqPCpAKkQqSCpMKlQqWCpgKmgqbCpwKnAqdCpwKnAqaCpgKlQqSCo4KiQqECn0KdwpwCmgKYApYCk8KRgo9CjQKKwoiChkKEAoHCf8J9wnvCecJ3wnYCdIJywnECb4JuAmyCawJpwmhCZsJlgmQCYoJhAl9CXcJcAlpCWIJWglTCUsJQgk6CTEJKAkfCRUJDAkCCPgI7gjkCNsI0QjHCL4ItQisCKMImwiTCIsIhAh9CHYIbwhpCGMIXAhWCFAISghECD0INwgwCCkIIggaCBEICQgAB/cH7QfjB9kHzwfFB7oHsAemB5wHkweJB4AHdwdvB2cHYAdZB1IHSwdFBz8HOQczBy0HJgcgBxkHEQcJBwEG+AbuBuQG2QbOBsMGtwarBp4GkgaGBnoGbgZjBlgGTgZFBj0GNQYuBikGJAYhBh4GHAYaBhoGGgYaBhsGGwYcBh0GHgYfBh8GHwYfBh4GHQYbBhkGFwYVBhIGDwYMBgkGBgYDBgAF/QX6BfcF9AXyBe8F7AXqBeYF4wXgBdsF1wXSBcwFxgW+BbcFrgWkBZoFjwWEBXgFawVeBVEFQwU1BSgFGgUNBQAE8wTnBNsE0ATGBLwEsgSpBKEEmQSSBIwEhQR/BHkEdARuBGkEZARfBFkEVARPBEkERAQ+BDkEMwQtBCgEIgQcBBYEEAQKBAQD/wP5A/MD7QPmA+AD2gPTA80DxQO+A7cDrwOnA58DlgONA4QDegNxA2cDXQNTA0kDPwM1AysDIQMYAw4DBgL9AvUC7QLmAuAC2QLUAs4CygLFAsECvgK7ArgCtQKzArECrwKuAqwCqwKqAqkCqAKnAqYCpQKlAqQCowKiAqICoQKhAqACoAKfAp8CnwKfAp8CnwKgAqACoAKhAqICogKjAqMCpAKkAqUCpQKlAqUCpQKkAqQCowKiAqECnwKeApwCmgKYApYClAKSApACjwKNAowCiwKKAooCiwKLAo0CjgKRApMClgKaAp4CogKmAqsCrwK0ArgCvALAAsMCxgLJAsoCywLMAssCygLIAsUCwgK/ArsCtgKxAq0CqAKkAp8CmwKYApUClAKTApMCkwKVApgCmwKgAqUCqwKxArgCvwLGAs0C1ALbAuAC5gLqAu4C8ALxAvEC8ALuAuoC5gLgAtkC0QLIAr8CtQKrAqAClQKLAoACdgJsAmICWQJRAkkCQgI8AjYCMQIsAigCJQIhAh8CHAIaAhgCFgIVAhMCEgIQAg8CDgIMAgsCCQIIAgYCBQIDAgICAAH+AfwB+gH3AfUB8gHvAesB6AHkAeAB2wHWAdEBzAHHAcEBvQG4AbQBsAGtAasBqgGrAawBsAG0AbsBwwHMAdgB5QHzAgMCFAInAjoCTgJiAnYCiwKeArECwgLSAuEC7gL4AwADBgMJAwoDCAMEAv0C8wLoAtoCywK7AqgClgKCAm4CWgJGAjMCIAIOAf0B7gHgAdQByQHAAbgBsgGtAaoBqAGnAacBqAGqAawBrgGxAbQBtwG5AbsBvQG+Ab8BvwG/Ab4BvQG8AboBtwG1AbIBrwGsAakBpgGjAaABngGbAZkBlwGVAZMBkgGRAY8BjgGNAYsBigGJAYgBhgGFAYQBggGAAX8BfQF7AXoBeAF3AXYBdQF0AXQBdAF0AXQBdQF2AXgBegF8AX4BgQGDAYYBiAGLAY4BkAGTAZUBlwGZAZoBmwGcAZ0BngGeAZ4BngGeAZ4BngGeAZ4BngGfAZ8BoAGiAaMBpQGoAasBrgGxAbUBuQG+AcIBxwHMAdEB1gHbAeAB5AHpAe0B8QH1AfgB+wH+AgACAgIDAgQCBQIFAgUCBAIDAgICAQH/Af0B+wH5AfcB9QHzAfEB7gHsAeoB6AHnAeUB5AHjAeIB4gHhAeEB4gHiAeMB5AHlAecB6AHqAewB7gHxAfMB9QH4AfoB/QH/AgICBAIGAggCCgIMAg4CEAISAhMCFAIWAhcCGAIaAhsCHAIdAh4CHwIgAiECIQIiAiICIwIjAiMCIwIjAiMCIgIiAiECIQIgAh8CHgIdAhwCGwIaAhkCGQIYAhgCGAIYAhkCGgIbAhwCHQIfAiECIwImAigCKwItAjACMwI1AjcCOQI7Aj0CPwJAAkECQQJCAkICQgJCAkECQAJAAj4CPQI8AjsCOgI5AjgCNgI1AjQCMwIyAjECMAIvAi4CLQIrAioCKAInAiQCIgIgAh0CGgIXAhMCEAIMAggCBAIBAf0B+QH2AfIB7wHsAeoB6AHmAeUB5AHkAeQB5QHmAecB6QHrAe4B8QH0AfgB+wH/AgMCBwIKAg4CEgIVAhgCGwIeAiACIwIlAicCKQIqAisCLQIuAi8CMQIyAjQCNQI3AjkCPAI+AkECRAJHAksCTgJTAlcCWwJgAmQCaQJuAnMCdwJ8AoAChQKJAo0CkAKTApcCmQKcAp4CoAKhAqMCpAKlAqYCpwKoAqkCqgKrAqwCrgKvArECsgK0ArcCuQK7Ar4CwQLFAsgCzALQAtMC2ALcAuAC5QLpAu4C8wL4Av0DAgMHAwwDEgMXAxwDIgMnAywDMQM3AzwDQQNGA0oDTwNTA1cDWwNfA2IDZQNpA2wDbwNyA3UDeQN8A4ADhAOIA40DkgOYA54DpQOsA7QDvQPGA9AD2gPkA+8D+gQFBBAEHAQnBDIEPQRIBFIEXQRnBHAEeQSDBIsElAScBKUErQS2BL8EyATRBNsE5gTwBPwFBwUUBSEFLgU7BUkFVwVlBXMFgQWPBZ0FqgW2BcIFzgXYBeIF6wX0BfwGAwYKBhAGFgYbBiEGJgYsBjEGNwY9BkQGSwZTBlsGZAZtBncGgQaLBpYGoQasBrYGwAbKBtQG3QblBu0G9Ab6Bv8HAwcHBwoHDAcOBw8HEAcRBxIHEgcTBxQHFgcYBxoHHgchByYHKwcxBzgHPwdGB08HVwdgB2kHcgd7B4QHjQeVB50HpAerB7EHtge7B78HwwfGB8gHygfLB8wHzQfNB80HzQfNB8wHzAfMB8wHzAfMB80HzQfOB88H0AfRB9IH0wfUB9UH1gfXB9gH2QfZB9oH2gfbB9sH2wfbB9sH2wfbB9wH3AfdB94H3wfgB+EH4wflB+gH6gftB/EH9Af4B/sH/wgDCAcICwgPCBMIGAgcCCAIJAgoCCwIMAg0CDgIPQhCCEYITAhRCFcIXQhkCGsIcwh7CIMIjQiWCKAIqgi1CMAIywjXCOMI7wj7CQcJEwkfCSsJNglCCU4JWgllCXEJfAmHCZMJngmqCbUJwQnNCdoJ5gnzCgAKDgocCioKOApHClYKZQp0CoMKkgqhCrAKvwrOCtwK6gr4CwQLEQsdCykLMws+C0gLUQtaC2ILagtxC3gLfguFC4sLkAuVC5oLnwukC6gLrAuwC7MLtwu6C7wLvgvAC8ELwgvCC8ELwAu+C7wLuAu1C7ALqwulC54LlwuPC4cLfgt2C20LYwtaC1ELSAs/CzcLLwsnCyALGQsTCw4LCQsFCwEK/wr8CvoK+Qr4CvcK9gr2CvUK9Qr0CvMK8grxCu8K7QrqCucK5ArgCtwK1wrSCs0KyArDCr4KuQq0CrAKrAqpCqcKpQqkCqQKpQqnCqoKrgqzCrkKvwrHCs8K1wrhCuoK9Ar+CwgLEgsbCyULLQs2Cz0LRAtLC1ALVQtYC1sLXQteC14LXgtdC1sLWAtVC1ILTgtKC0YLQQs9CzgLNAsvCysLJwsjC0oLQws8CzULLgsnCyELGwsVCxALCwsHCwMLAAr8CvoK9wr1CvMK8grwCu8K7grtCuwK6wrqCuoK6QroCugK5wrnCucK5wroCugK6QrrCuwK7grxCvMK9gr6Cv0LAAsECwcLCgsNCw8LEQsSCxILEgsQCw4LCwsGCwEK+grzCuoK4ArWCssKvwqyCqUKmAqLCn0KbwpiClUKSAo7Ci8KJAoZCg8KBQn8CfQJ7AnkCd0J1wnQCcoJxAm+CbkJswmtCacJoQmaCZMJjQmFCX4JdgluCWYJXQlVCUwJQwk5CTAJJwkdCRQJCgkACPcI7QjkCNsI0QjICL8ItgitCKUInAiUCIsIgwh7CHMIawhjCFoIUghKCEIIOQgwCCgIHggVCAsIAgf4B+0H4wfYB84Hwwe5B64HpAeaB5AHhwd+B3YHbgdnB2EHWwdWB1IHTgdKB0cHRAdBBz8HPAc5BzYHMgcuBygHIgccBxQHCwcCBvcG7AbgBtQGxwa5BqwGngaRBoQGeAZtBmIGWQZRBkoGRQZABj4GPAY8Bj0GPwZCBkYGSgZPBlQGWQZeBmMGZwZrBm4GcAZyBnMGcwZyBnEGcAZtBmsGaAZlBmIGXwZcBlkGVgZTBlEGTwZMBkoGSAZFBkIGPwY6BjYGMAYpBiIGGQYPBgMF9wXpBdoFygW5BagFlQWCBW8FXAVIBTUFIgUQBP4E7QTdBM4EwASzBKgEnQSTBIoEggR7BHQEbwRpBGQEXwRaBFUEUQRMBEYEQQQ7BDUELwQpBCIEGgQTBAsEBAP8A/QD7APkA9wD1APMA8UDvQO2A68DpwOgA5oDkwOMA4UDfgN4A3EDagNjA1wDVQNNA0YDPgM2Ay4DJgMdAxUDDAMDAvoC8QLoAt8C1gLNAsQCvAKzAqsCowKbApQCjQKHAoECfAJ3AnICbwJsAmkCaAJmAmYCZgJmAmYCaAJpAmsCbQJvAnECcwJ0AnYCeAJ5AnoCewJ7AnsCewJ6AnkCdwJ2AnMCcQJvAmwCaQJnAmQCYQJfAlwCWQJXAlUCUwJRAk8CTgJNAksCSgJJAkgCRwJGAkUCRAJDAkICQgJBAkECQQJBAkECQgJCAkQCRQJHAkkCSwJOAlECVQJYAlwCYAJjAmcCagJuAnECcwJ2AncCeAJ5AngCeAJ2AnQCcgJvAmwCaQJlAmECXgJaAlcCVQJTAlECUQJRAlECUwJWAlkCXQJiAmgCbQJzAnoCgAKGAowCkgKXApsCngKhAqICowKiAqACnQKZApMCjQKGAn4CdgJtAmMCWgJQAkcCPQI0AisCIwIbAhQCDQIHAgIB/QH4AfQB8QHuAesB6QHmAeQB4gHhAd8B3QHcAdoB2QHYAdYB1QHUAdMB0gHRAdABzwHOAcwBywHKAcgBxgHEAcEBvgG7AbcBsgGuAakBowGeAZkBkwGOAYoBhgGDAYEBgAGAAYIBhgGLAZMBnAGnAbQBwwHTAeUB+AIMAiICNwJNAmMCeAKNAqACsgLCAtAC3ALlAusC7wLwAu4C6QLiAtgCywK8AqwCmQKFAnECWwJGAjACGgIFAfEB3gHMAbwBrQGfAZQBigGCAXsBdgFzAXEBcAFwAXABcgF0AXYBeQF8AX4BgAGDAYQBhgGHAYcBhwGHAYcBhgGFAYQBggGBAX8BfgF8AXsBegF5AXgBdwF3AXYBdgF2AXYBdgF2AXcBdwF3AXcBdgF2AXYBdQF0AXMBcgFxAXABbwFuAW0BbAFrAWsBagFqAWoBagFrAWsBbAFtAW8BcAFyAXQBdgF3AXkBewF8AX4BfwGAAYABgQGBAYEBgQGBAYABgAF/AX8BfgF+AX4BfgF+AX4BfwGAAYIBhAGGAYkBjAGPAZMBlwGbAaABpAGpAa0BsgG3AbsBvwHEAcgBywHPAdIB1QHXAdkB2wHdAd4B3wHgAeEB4QHhAeEB4QHgAeAB3wHeAd0B3AHbAdoB2QHXAdYB1AHTAdIB0AHPAc0BzAHLAcoByQHJAcgByAHIAcgByAHJAckBygHLAc0BzgHPAdAB0gHTAdUB1gHXAdkB2gHaAdsB3AHcAdwB3AHcAdwB3AHcAdsB2wHbAdoB2gHaAdoB2gHaAdoB2gHaAdsB2wHcAdwB3QHdAd4B3gHeAd8B3wHfAd8B3wHfAd8B3wHfAd4B3gHeAd4B3wHfAeAB4AHhAeIB5AHmAecB6QHrAe4B8AHyAfUB9wH5AfwB/gIAAgICAwIEAgUCBgIHAgcCBwIHAgYCBQIEAgMCAgIBAf8B/QH8AfoB+AH2AfQB8gHwAe4B7AHqAecB5AHiAd8B3AHZAdUB0gHOAcoBxgHCAb4BugG2AbIBrgGqAacBowGgAZ0BmwGZAZcBlgGVAZQBlAGVAZUBlgGYAZoBnAGfAaIBpQGoAawBrwGzAbcBuwG+AcIBxgHKAc0B0QHUAdgB2wHeAeEB5AHmAekB7AHuAfEB8wH1AfgB+gH9Af8CAgIFAggCCwIOAhICFQIZAh0CIQIlAikCLgIyAjYCOgI+AkICRgJKAk0CUQJTAlYCWAJaAlwCXgJfAmACYQJhAmECYgJiAmICYgJjAmMCZAJkAmUCZgJoAmkCawJtAnACcgJ1AngCewJ/AoIChgKKAo4CkgKWApoCngKiAqYCqwKvArMCuAK8AsACxQLJAs4C0gLXAtwC4ALlAuoC7wL0AvkC/gMDAwkDDgMUAxoDIAMmAy0DMwM7A0MDSwNUA10DZwNxA3wDhwOTA6ADrQO6A8gD1gPkA/IEAAQOBBwEKgQ3BEQEUARcBGcEcQR7BIUEjgSWBJ4EpgStBLUEvATDBMsE0wTcBOQE7QT3BQIFDQUYBSQFMAU8BUkFVQViBW4FewWGBZEFnAWlBa4FtwW+BcQFygXOBdIF1gXZBdwF3gXgBeMF5gXpBewF8AX1BfoGAQYIBg8GGAYhBisGNQZABksGVgZhBmwGdgaBBosGlAacBqUGrAazBrkGvwbEBskGzgbTBtgG3QbiBugG7gb1Bv0HBgcPBxkHJQcxBz4HSwdaB2gHeAeHB5cHpge2B8UH0wfhB+8H+wgHCBIIGwgkCCwIMwg4CD0IQAhDCEUIRghGCEYIRQhECEIIPwg9CDoINggzCC8IKwgnCCIIHggZCBQIDggJCAMH/Qf3B/EH6gfjB90H1gfPB8gHwge7B7UHrwepB6MHngeaB5YHkgePB40HiweKB4kHiQeJB4oHiweMB44HkQeTB5YHmAebB54HoQekB6cHqgesB68Hsge1B7cHuge9B8AHxAfIB8wH0QfWB9wH4wfqB/IH+ggECA4IGQgkCDEIPghLCFoIaAh4CIcIlwinCLgIyAjZCOkI+gkKCRoJKgk6CUoJWglpCXgJiAmXCaUJtAnDCdIJ4QnwCf4KDQocCisKOwpKClkKaAp4CocKlgqlCrQKwwrSCuEK7wr+CwsLGQsnCzQLQQtNC1kLZQtxC3wLhguRC5oLpAutC7YLvgvFC8wL0gvYC94L4gvmC+kL6wvtC+0L7QvsC+oL6AvkC+AL2gvUC80LxQu9C7MLqgufC5ULiQt+C3MLZwtcC1ALRQs7CzALJwseCxYLDwsJCwQLAQr+CvwK/Ar9Cv8LAwsHCwwLEwsaCyILKws0Cz4LSAtRC1sLZQtuC3YLfguGC4wLkguWC5kLnAudC50LmwuZC5YLkguNC4cLgAt5C3ILagtjC1sLVAtMC0YLQAs6CzULMQsuCysLKgsqCyoLKwstCzALNAs4Cz0LQgtHC00LUwtZC18LZQtrC3ALdQt5C30LgAuCC4QLhQuFC4QLgwuAC30Legt1C3ALawtlC14LWAtRC4MLewtyC2kLXwtWC00LRAs8CzQLLQsnCyILHgsaCxgLFwsWCxcLGAsbCx4LIgsmCysLMAs1CzsLQQtHC00LUwtZC18LZQtrC3ELdgt8C4ELhguLC48LlAuXC5sLngugC6ILowujC6ILoAudC5gLkguLC4MLeQtuC2ILVAtFCzULJAsSCwAK7QraCscKtAqhCo8KfQpsClwKTQo/CjIKJgobChEKCAoACfgJ8gnsCeYJ4QncCdcJ0gnMCccJwQm6CbMJrAmkCZsJkgmJCX8JdAlqCV8JVAlJCT4JMwkoCR4JFAkKCQAI9gjtCOUI3AjUCMwIxAi9CLUIrgimCJ8IlwiQCIgIgAh3CG8IZghdCFQISghBCDYILAghCBYICwgAB/UH6QfeB9MHyAe9B7IHqAeeB5QHiweDB3wHdQdvB2oHZgdjB2EHXwdeB14HXwdgB2EHYwdkB2YHZwdoB2gHZwdmB2MHXwdaB1MHSwdCBzgHLAcgBxIHBAb2BucG2AbKBrwGrwajBpgGjgaGBn8GegZ3BnUGdQZ3BnoGfgaDBokGkAaXBp4GpQarBrEGtwa7Br8GwQbDBsMGwgbABr4Guwa3BrMGrgapBqQGnwaaBpUGkQaNBokGhQaBBn0GegZ1BnEGbAZmBl8GVwZNBkMGNwYpBhsGCgX5BeYF0gW9BacFkQV7BWQFTQU3BSIFDQT5BOYE1QTFBLYEqQSdBJIEiQSBBHoEdARvBGsEZwRjBGAEXQRZBFYEUgRNBEgEQgQ8BDUELQQlBBwEEwQKA/8D9QPqA98D1APJA74DtAOpA58DlQOLA4IDeQNwA2gDYQNaA1MDTQNHA0IDPQM4AzQDMAMsAygDJAMgAxwDGAMTAw8DCgMEAv4C+ALxAuoC4wLbAtICygLBArgCrgKlApwClAKLAoMCfAJ1AnACagJmAmMCYQJfAl8CYAJhAmMCZQJoAmwCcAJzAncCegJ9AoACggKDAoMCggKBAn4CegJ2AnACagJjAlwCVAJMAkMCOwIyAioCIwIbAhUCDwIKAgYCAgH/Af4B/QH8Af0B/QH/AgACAgIEAgUCBwIJAgoCCwIMAgwCDAIMAgwCCwIKAgkCCAIHAgYCBQIFAgUCBQIGAgcCCAIKAgwCDwISAhUCGAIbAh4CIQIkAicCKQIqAisCLAIsAiwCKwIqAigCJgIkAiICIAIeAhwCGgIZAhkCGQIZAhsCHQIfAiICJgIqAi8CMwI4Aj0CQQJGAkkCTQJPAlECUgJSAlECTwJMAkgCQwI+AjgCMQIqAiMCGwITAgwCBAH9AfYB7wHpAeQB3wHaAdYB0gHPAc0BygHIAcUBwwHBAb8BvQG7AbkBtwG1AbIBsAGuAasBqQGnAaQBogGhAZ8BnQGcAZoBmQGXAZUBkwGRAY8BjQGKAYYBgwF/AXsBdgFyAW0BaQFlAWEBXgFcAVsBWwFdAWEBZgFsAXUBfwGMAZoBqgG7Ac4B4gH3AgwCIgI3AkwCYAJzAoQCkwKgAqsCswK5ArsCuwK4ArICqgKeApECgQJwAl0CSgI1AiACCwH2AeEBzgG7AaoBmgGLAX4BcwFqAWIBWwFWAVMBUQFQAU8BUAFRAVIBUwFVAVYBWAFZAVoBWgFaAVoBWQFYAVcBVQFUAVIBUAFOAU0BSwFKAUkBSAFIAUgBSAFIAUkBSgFMAU0BTwFQAVIBVAFWAVgBWQFbAVwBXQFeAV8BYAFgAWABYQFhAWEBYQFhAWEBYQFhAWIBYgFjAWMBZAFlAWYBZwFoAWkBagFrAWwBbQFuAW4BbwFvAW8BbwFuAW0BbQFsAWsBagFpAWgBZwFmAWUBZQFlAWUBZgFmAWgBagFsAW4BcQF0AXgBfAGAAYQBiAGMAZEBlQGZAZ0BoQGlAagBqwGuAbEBtAG2AbgBuQG7AbwBvgG/AcABwQHCAcIBwwHEAcQBxQHFAcYBxgHGAccBxwHGAcYBxgHFAcQBwwHCAcEBwAG+Ab0BuwG6AbkBtwG2AbUBtAG0AbMBswGzAbMBswGzAbQBtQG1AbYBtwG3AbgBuQG5AbkBuQG5AbgBtwG2AbUBswGxAbABrgGsAaoBqAGmAaQBogGhAaABnwGeAZ4BnQGeAZ4BnwGgAaEBogGkAaUBpwGoAaoBrAGtAa8BsAGxAbIBtAG0AbUBtgG3AbgBuQG6AbsBuwG9Ab4BvwHBAcIBxAHFAccByQHLAcwBzgHPAdAB0QHSAdIB0gHSAdIB0QHQAc8BzQHLAckBxgHDAcEBvgG7AbcBtAGxAa4BqwGnAaQBoQGeAZsBlwGUAZEBjgGLAYcBhAGBAX4BewF3AXQBcQFuAWsBaAFmAWMBYQFfAV0BXAFbAVoBWQFZAVkBWgFbAVwBXQFeAWABYgFkAWYBaQFrAW4BcAFzAXYBeQF8AYABgwGGAYoBjQGRAZUBmQGcAaABpAGoAawBsAG0AbcBuwG/AcIBxgHJAcwBzwHSAdUB2AHaAd0B4AHiAeUB5wHqAewB7wHyAfUB+AH7Af0CAAIDAgYCCQIMAg4CEQITAhUCFwIYAhkCGgIbAhsCGwIbAhoCGQIZAhgCFwIWAhUCFAITAhMCEgITAhMCFAIVAhYCGAIbAh0CIAIjAicCKgIuAjICNgI6Aj4CQwJHAksCTwJTAlgCXAJgAmQCaAJsAnACdQJ5An4CggKHAo0CkgKYAp4CpAKrArICugLCAssC1ALeAugC8wL+AwoDFwMkAzIDQQNQA2ADcAOBA5IDpAO1A8cD2QPrA/wEDQQeBC4EPgRMBFoEZwRzBH4EiASSBJoEogSoBK4EtAS5BL4EwwTIBM0E0gTYBN0E5ATrBPIE+gUDBQwFFQUeBSgFMgU8BUUFTgVXBV8FZgVtBXMFeAV8BYAFgwWFBYcFiQWLBYwFjgWQBZIFlQWYBZwFoQWnBa4FtQW+BccF0AXbBeYF8QX8BgcGEwYeBikGMwY9BkcGUAZZBmIGagZyBnoGgwaLBpQGnQaoBrMGvwbMBtoG6Qb5BwoHHQcwB0QHWQduB4QHmQevB8QH2QftCAAIEwgkCDMIQghPCFsIZQhuCHUIewiACIQIhwiJCIoIiwiLCIoIigiICIcIhQiDCIEIfgh7CHgIdAhwCGsIZghfCFkIUQhJCEAINggrCCAIEwgHB/oH7AfeB9AHwge0B6YHmAeLB34HcgdnB1wHUwdKB0IHPAc2BzIHLgcrByoHKQcpBykHKgcsBy8HMQc0BzcHOgc+B0EHRAdIB0sHTgdRB1MHVgdZB1sHXgdhB2QHZwdqB24Hcwd4B34HhAeLB5MHnAemB7EHvQfKB9gH5wf3CAgIGggsCD8IUwhnCHwIkginCL0I0wjpCP8JFQkrCUEJVwlsCYEJlQmpCbwJ0AniCfUKBgoXCigKOQpJClgKZwp2CoQKkgqgCq4KuwrICtUK4gruCvsLBwsUCyALLAs4C0QLUAtcC2gLdAt/C4sLlgugC6oLtAu+C8cLzwvWC90L4wvoC+wL7wvxC/IL8gvxC+8L7AvnC+IL2wvUC8sLwgu3C6wLoAuUC4cLeQtrC10LTwtACzILIwsVCwcK+grtCuEK1grLCsIKuQqyCq0KqAqlCqQKpAqmCqoKrwq2Cr4KyQrUCuIK8AsACxELIws1C0gLXAtvC4MLlguoC7oLywvbC+oL9wwCDAwMFAwaDB8MIQwiDCEMHgwZDBMMCwwCC/gL7QviC9YLyQu9C7ALowuXC4wLgQt3C24LZgtfC1kLVAtRC04LTgtOC08LUgtVC1kLXgtkC2oLcQt4C38LhQuMC5ILmAudC6ELpAumC6gLqAunC6ULogudC5gLkguLC88LzAvIC8MLvQu3C7ALqQuiC5sLlQuPC4oLhguDC4ELgAuBC4MLhguKC48LlgucC6QLrAu1C74LxwvQC9gL4QvpC/EL+Av/DAUMCgwPDBMMFwwaDBwMHQwdDB0MHAwaDBcMEwwNDAcMAAv3C+0L4gvVC8cLuAunC5ULgwtvC1oLRQsvCxkLAwrtCtgKwwquCpsKiAp3CmcKWApLCj8KNAorCiMKGwoVChAKCwoGCgEJ/Qn4CfMJ7gnoCeEJ2QnQCccJvAmxCaUJmAmKCXwJbglfCVAJQgkzCSUJGAkLCP4I8gjnCN0I1AjLCMMIvAi1CK8IqQikCJ4ImQiUCI4IiAiCCHwIdghuCGcIXghWCE0IQwg5CC8IJAgaCA8IBAf5B+4H4wfYB84HxAe7B7IHqgejB5wHlgeRB40HigeIB4cHhweHB4kHiweOB5IHlgebB6AHpQepB64Hsge1B7cHuQe5B7gHtgeyB6wHpQecB5IHhgd5B2sHXAdNBz0HLQcdBw0G/gbwBuMG2AbOBsUGvga5BrYGtAa0BrUGuAa7Br8GxAbKBs8G1AbYBtwG4AbiBuMG4wbiBuAG3QbZBtQGzgbIBsIGuwa0Bq0GpgafBpkGkwaNBogGgwZ+BnkGcwZtBmcGYAZYBk8GRAY5BisGHQYMBfsF6AXUBb4FqAWRBXkFYgVKBTMFGwUFBPAE3ATKBLkEqQSbBI8EhAR7BHMEbQRoBGQEYQRfBF0EWwRaBFkEVwRVBFMEUQRNBEkERQRABDkEMwQsBCQEGwQSBAgD/gP0A+kD3gPTA8gDvAOxA6YDmwOQA4UDewNxA2cDXgNWA04DRwNAAzsDNQMxAy0DKgMnAyUDIwMiAyADHwMeAx0DHAMaAxgDFQMSAw4DCgMFAv8C+QLyAusC4wLbAtMCzALEAr0CtgKwAqoCpgKiAqACnwKeAp8CoQKjAqYCqgKvArMCuAK8AsACxALHAsgCyQLIAsYCwgK9ArcCrgKkApkCjQKAAnICYwJUAkQCNQImAhgCCgH+AfMB6QHgAdkB1AHQAc0BzAHNAc4B0AHUAdcB3AHgAeQB6AHsAe8B8gHzAfQB9AHzAfIB7wHsAegB5AHfAdoB1QHQAcsBxwHDAcABvgG8AbsBuwG8Ab0BwAHCAcYByQHNAdIB1gHaAd0B4QHkAeYB6AHpAeoB6wHqAeoB6QHoAeYB5QHjAeIB4QHhAeAB4AHhAeIB5AHmAegB6wHuAfEB9AH3AfkB/AH9Af8B/wH/Af4B/QH6AfcB8wHvAeoB5AHfAdkB0wHNAccBwQG8AbcBsgGuAaoBpwGkAaIBoAGeAZwBmgGZAZcBlgGUAZIBkAGNAYoBhwGEAYEBfQF6AXYBcwFvAWwBagFnAWUBYwFiAWABXwFeAV0BXQFcAVsBWgFZAVcBVQFTAVEBTgFLAUgBRgFDAUEBPwE+AT4BQAFCAUYBSwFSAVsBZgFyAX8BjgGfAbABwwHWAekB/AIOAiACMQJAAk0CWAJhAmgCbAJuAmwCaAJiAlkCTgJBAjICIgIRAf8B7AHaAccBtgGlAZUBhgF5AW0BYgFZAVIBTAFIAUUBQwFBAUEBQQFCAUMBQwFEAUQBRAFEAUMBQQE/AT0BOgE2ATIBLgEqASYBIgEeARoBFgETAREBDwENAQwBDAEMAQ0BDwEQARMBFQEYARsBHgEhASUBKAErAS4BMQE0ATcBOQE8AT4BQAFCAUQBRQFHAUkBSgFMAU0BTgFQAVEBUgFUAVUBVgFYAVkBWgFbAVsBXAFdAV0BXQFdAV0BXQFcAVwBWwFaAVkBWQFYAVcBVwFWAVYBVgFXAVgBWQFaAVwBXgFgAWMBZgFpAWwBcAF0AXgBfAF/AYMBhwGLAY4BkgGVAZgBmgGdAZ8BoQGjAaQBpgGnAakBqgGrAawBrQGuAbABsQGyAbQBtQG2AbcBuAG5AboBuwG7AbwBvAG7AbsBugG5AbgBtgG0AbIBsAGuAawBqQGnAaQBogGgAZ8BnQGcAZsBmgGZAZkBmQGZAZkBmQGaAZoBmwGbAZsBmwGbAZsBmgGZAZgBlwGVAZMBkQGPAY0BigGIAYYBhAGCAYABfgF9AXwBfAF7AXwBfAF9AX4BgAGBAYMBhQGHAYoBjAGOAZABkgGUAZYBmAGZAZoBmwGcAZ0BngGeAZ8BnwGgAaABoAGhAaIBogGjAaQBpAGlAaYBpgGnAacBpwGnAacBpgGlAaQBogGgAZ0BmgGXAZMBjwGLAYYBggF9AXgBcwFvAWoBZQFhAVwBWAFUAVEBTQFKAUcBQwFBAT4BPAE5ATcBNQEzATEBMAEuAS0BKwEqASkBKQEoASgBKAEpASkBKgErAS0BLgEwATIBNAE2ATgBOwE9AT8BQgFEAUYBSAFLAU0BTwFRAVMBVQFXAVkBXAFeAWEBZAFnAWoBbgFxAXUBeQF9AYIBhgGKAY4BkgGWAZoBngGhAaQBpwGqAawBrgGwAbIBswG0AbYBtwG3AbkBugG7AbwBvQG/AcEBwgHEAcYByAHKAc0BzwHQAdIB1AHVAdYB1wHXAdcB1wHWAdUB1AHSAdABzgHMAcoByAHGAcQBwwHCAcEBwQHBAcIBwwHFAccBygHOAdEB1gHaAd8B5AHpAe4B9AH5Af4CAwIIAg0CEgIXAhsCIAIkAikCLQIyAjYCOwJAAkYCTAJSAlgCXwJnAm8CeAKBAowClgKiAq4CuwLJAtgC5wL3AwcDGQMqAz0DUANjA3YDigOdA7EDxQPYA+oD/QQOBB8ELwQ9BEsEWARjBG4EdwR/BIYEjASRBJYEmgSeBKEEpASnBKsErwSzBLcEvQTCBMkE0ATXBN8E5wTwBPkFAQUKBRMFGwUiBSkFMAU2BTsFQAVEBUcFSwVOBVAFUwVWBVoFXgVjBWgFbgV2BX4FhwWRBZwFqAW1BcIF0AXeBewF+gYIBhUGIgYuBjoGRgZQBloGZAZuBncGgAaJBpMGnQaoBrQGwgbQBt8G8AcDBxYHKwdBB1gHcAeIB6AHuAfQB+cH/QgSCCUINwhGCFQIXwhpCHAIdQh4CHkIeAh2CHMIbwhqCGUIXwhaCFQITwhKCEYIQgg/CDwIOgg4CDYINAgzCDAILQgqCCYIIAgaCBIICQf/B/MH5gfYB8kHuQeoB5YHhAdxB18HTQc7BykHGQcJBvsG7QbhBtYGzQbFBr8Guga2BrQGswazBrUGtwa6Br4GwgbHBs0G0wbZBt8G5QbsBvIG+Ab+BwQHCQcPBxQHGQcdByIHJgcrBy8HNAc4Bz0HQgdIB04HVQdcB2UHbgd4B4MHjwecB6oHugfLB90H8AgECBkIMAhHCF8IeQiTCK4IyQjlCQEJHQk6CVcJcwmPCasJxwniCfwKFgouCkcKXgp0CokKnQqxCsMK1QrmCvULBAsSCyALLQs5C0ULUAtbC2YLcAt6C4QLjguXC6ELqguzC70LxgvOC9cL3wvnC+4L9Qv8DAEMBwwLDA4MEQwTDBQMFAwTDBEMDgwKDAUL/wv4C/AL5wveC9MLyAu8C7ALoguVC4cLeAtqC1oLSws7CywLHAsMCvwK7QrdCs4KwAqyCqQKmAqMCoIKeApwCmkKZApgCl4KXgpgCmQKagpyCnwKiQqXCqcKuArMCuAK9gsNCyQLPAtVC20LhgudC7QLygvfC/IMBAwUDCIMLgw4DD8MRQxJDEoMSgxHDEMMPQw1DCwMIgwXDAoL/QvvC+EL0wvEC7YLqAubC44Lggt3C20LZAtdC1YLUgtOC00LTQtOC1ELVQtaC2ELaAtwC3kLgwuNC5YLoAupC7ILugvBC8cLywvPC9EL0gvRDBoMIQwnDCsMLQwtDCwMKgwnDCQMHwwbDBcMEwwPDAwMCwwKDAoMCwwNDBAMFAwYDB4MJAwqDDAMNww9DEMMSAxNDFEMVAxWDFgMWAxYDFYMVAxRDE0MSAxDDD0MNgwuDCYMHgwVDAsMAAv1C+kL3AvPC8ALsQuiC5ELgQtvC10LSws5CycLFQsDCvEK4ArQCsAKsgqkCpgKjAqCCnkKcQppCmMKXQpXClIKTgpJCkQKPgo5CjIKKgoiChkKDwoDCfcJ6QnbCcwJvAmrCZoJiQl3CWYJVQlECTQJJQkWCQkI/AjwCOYI3AjTCMsIxQi+CLkItAivCKoIpgihCJ0ImAiSCIwIhgh/CHgIcAhnCF4IVQhLCEEINwgsCCIIGAgOCAQH+wfyB+oH4gfbB9UHzwfKB8cHwwfBB8AHvwe/B8AHwgfEB8gHywfPB9QH2AfdB+IH6AfsB/EH9Qf4B/oH/Af8B/sH+Qf1B/AH6QfhB9gHzAfAB7IHpAeUB4QHcwdiB1IHQQcxByIHFAcHBvwG8QboBuEG2wbWBtMG0QbQBs8GzwbQBtAG0QbRBtEG0AbPBs0GygbGBsIGvAa2BrAGqQaiBpsGkwaMBoUGfwZ4BnIGbQZoBmIGXgZZBlMGTgZHBkAGOAYvBiUGGQYMBf0F7QXbBcgFswWeBYcFcAVYBUAFKAURBPoE5ATPBLsEqASYBIgEegRuBGQEWwRTBE0ESAREBEEEPgQ8BDoEOQQ4BDYENQQ0BDIEMAQuBCwEKQQnBCQEIAQcBBgEFAQQBAsEBgQBA/sD9QPuA+cD3wPXA88DxgO9A7QDqgOgA5YDjAODA3kDcANoA2ADWANRA0wDRgNCAz8DPAM5AzgDNgM2AzUDNAM0AzMDMgMwAy8DLAMqAyYDIgMdAxkDEwMOAwgDAgL9AvcC8wLvAusC6ALnAuYC5gLnAuoC7QLxAvUC+gL/AwQDCgMOAxIDFgMYAxkDGAMWAxIDDQMFAvwC8ALjAtUCxQK0AqECjgJ7AmcCVAJBAi8CHQINAf8B8QHmAdwB1QHPAcsByAHHAcgByQHMAc8B0wHXAdsB3gHiAeQB5QHmAeUB4wHgAdsB1gHPAcgBvwG2Aa0BowGaAZABhwF/AXcBcAFrAWYBYgFgAV8BXwFgAWIBZQFpAW0BcgF3AXwBgQGGAYsBjwGTAZcBmQGcAZ0BnwGfAaABoAGgAaABnwGfAZ8BnwGfAaABoQGiAaMBpQGnAagBqgGsAa0BrgGvAa8BrwGuAa0BqgGoAaQBoAGcAZcBkQGMAYYBgQF7AXYBcQFtAWkBZQFiAV8BXQFbAVoBWAFXAVYBVgFVAVMBUgFQAU4BTAFJAUYBQwE/ATsBOAE0ATABLQEqAScBJQEjASIBIQEhASIBIwEkASUBJwEpASsBLAEuAS8BLwEwAS8BLwEuASwBKwEpASgBJwEmASYBJwEpASwBMAE1ATwBRQFPAVoBZwF0AYMBkgGiAbEBwQHQAd4B6gH2Af8CBwIMAhACEQIQAgwCBgH+AfUB6QHcAc4BwAGwAaEBkgGDAXUBaAFcAVEBRwE/ATkBNAEwAS4BLQEsASwBLQEvATABMQEyATMBMwEyATEBLwErASgBIwEeARkBEgEMAQYA/wD4APIA7ADnAOIA3gDbANgA1gDVANUA1QDWANgA2gDcAN8A4wDmAOoA7gDyAPYA+gD+AQIBBgEJAQ0BEAEUARcBGwEeASEBJAEnASoBLQEwATMBNgE4ATsBPQE/AUEBQwFEAUUBRgFHAUgBSAFJAUkBSQFIAUgBSAFIAUgBSAFIAUgBSAFJAUoBSwFNAU4BUAFSAVUBWAFbAV4BYgFlAWkBbAFwAXQBdwF7AX4BggGFAYcBigGMAY8BkQGSAZQBlQGXAZgBmQGaAZsBnAGdAZ4BoAGhAaMBpAGmAagBqgGsAa0BrwGxAbIBtAG1AbUBtgG2AbYBtQG0AbIBsQGvAawBqQGmAaMBoAGdAZoBlgGTAZABjgGLAYkBhwGFAYQBggGBAYEBgAGAAX8BfwF/AX8BfwF+AX4BfQF8AXsBegF5AXgBdgF0AXMBcQFwAW4BbQFrAWoBagFpAWkBaQFpAWoBawFsAW4BcAFyAXQBdgF5AXsBfgGAAYIBhAGFAYcBiAGIAYkBiQGJAYgBhwGGAYUBhAGCAYEBfwF+AXwBegF5AXgBdgF1AXQBcwFzAXIBcQFwAW8BbgFtAWwBagFoAWYBYwFgAVwBWQFUAVABTAFHAUIBPQE4ATIBLQEpASQBIAEbARgBFAERAQ4BCwEJAQcBBQEEAQMBAgEBAQAA/wD/AP4A/gD+AP4A/gD+AP4A/gD/AQABAQECAQQBBgEHAQoBDAEOAREBFAEXARkBHAEfASEBIwEmASgBKgEsAS0BLwEwATIBMwE1ATYBOAE5ATsBPQE/AUIBRAFHAUoBTQFRAVQBVwFbAV4BYgFlAWgBagFtAW8BcQFyAXQBdQF1AXYBdgF2AXUBdQF1AXUBdAF0AXQBdQF1AXYBdwF4AXkBewF9AX4BgAGCAYQBhgGHAYkBigGLAYsBiwGLAYoBiQGIAYYBhAGCAYABfgF8AXoBeQF3AXYBdgF2AXcBeQF7AX0BgQGFAYkBjgGUAZkBoAGmAa0BswG6AcABxwHNAdMB2QHfAeQB6QHvAfQB+QH+AgMCCAIOAhMCGgIgAicCLwI3AkACSQJTAl4CaQJ1AoICkAKeAq0CvALMAt0C7gL/AxEDIwM2A0gDWgNtA38DkQOiA7MDxAPTA+ID7wP8BAgEEwQcBCQELAQyBDgEPQRBBEUESQRMBE8EUwRXBFsEYARmBGwEdAR8BIQEjgSYBKMErgS6BMUE0QTcBOcE8QT8BQUFDgUWBR0FJAUqBTAFNgU7BUEFRwVOBVUFXgVnBXIFfQWKBZkFqAW5BcsF3gXxBgUGGgYuBkIGVgZpBnwGjQadBq0GuwbIBtQG3wbqBvQG/gcHBxEHGwcmBzIHPgdMB1sHawd8B44HoQe1B8gH3QfxCAQIFggoCDcIRQhQCFoIYAhkCGUIZAhgCFoIUghHCDsILgggCBIIAwf0B+YH2AfMB8AHtgetB6YHoAebB5cHkweRB44HjAeJB4YHggd9B3YHbwdlB1sHTgdABzEHIAcPBvwG6QbVBsIGrgabBokGeAZoBlkGTQZBBjgGMQYrBicGJQYlBicGKgYuBjQGOwZCBksGVAZeBmgGcwZ+BokGkwaeBqkGtAa+BskG0wbdBucG8Ab6BwMHDAcVBx4HJgcvBzcHPwdHB08HVwdfB2gHcQd6B4MHjQeYB6MHsAe9B8sH2gfrB/0IEAgkCDoIUAhpCIIInQi5CNcI9QkUCTQJVQl2CZcJuQnaCfwKHQo+Cl8KfgqdCrwK2Ar1Cw8LKQtBC1gLbguCC5YLqAu4C8gL1wvkC/EL/QwIDBIMGwwkDC0MNAw8DEIMSQxODFQMWQxeDGIMZQxpDGsMbgxvDHAMcQxxDHAMbwxtDGoMZwxkDF8MWwxVDE8MSQxCDDoMMgwpDCAMFwwNDAML+AvsC+EL1AvHC7oLrAueC48LfwtvC18LTgs9CywLGwsJCvcK5grVCsQKtQqlCpcKigp+CnQKbAplCmEKXgpeCmAKZAprCnMKfgqMCpsKrAq+CtMK6Ar/CxYLLgtGC18LdwuPC6YLvQvSC+cL+gwMDBwMKww4DEQMTgxWDFwMYAxjDGQMYwxgDFwMVQxODEQMOQwtDCAMEQwBC/EL4AvOC70LqwuaC4kLegtsC18LVAtLC0QLPws9Cz0LQAtEC0wLVQtgC20LfAuLC5sLrAu8C80L3QvsC/kMBgwRDEIMUwxhDGwMdQx7DH8MgQyADH4Mewx2DHAMagxlDF8MWQxVDFEMTgxMDEsMSwxLDE0MTwxRDFMMVgxYDFkMWwxbDFoMWAxWDFIMTQxHDEAMOAwwDCYMHQwTDAgL/gvzC+gL3gvUC8oLwAu2C60LpAubC5ILiQuAC3cLbgtlC1wLVAtKC0ELOAsvCyYLHQsVCwwLBAr8CvUK7QrmCuAK2QrTCs0KxwrBCrsKtQquCqcKoAqYCpAKhwp9CnIKZwpbCk4KQQoyCiQKFAoFCfUJ5QnVCcUJtQmlCZcJiAl6CW0JYQlVCUoJQAk2CS4JJgkeCRcJEAkKCQQI/Qj3CPAI6gjiCNsI0wjKCMEIuAiuCKQImQiOCIQIeAhuCGMIWAhOCEQIOwgyCCoIIwgcCBYIEAgMCAgIBAgCB/8H/gf8B/wH+wf7B/sH/Af9B/4H/wgACAEIAggCCAMIAwgDCAMIAggAB/4H+gf2B/EH6wfjB9sH0QfGB7oHrgegB5EHggdzB2MHUwdDBzMHJAcWBwgG+wbvBuQG2gbRBsoGwwa8BrcGsgauBqkGpQaiBp0GmQaVBpAGiwaFBn8GeQZyBmwGZgZfBlkGUwZNBkgGQwY/BjsGNwY0BjAGLQYpBiQGIAYaBhMGCwYCBfcF6wXdBc0FvAWqBZYFgQVrBVUFPgUmBQ8E+ATiBMwEuASkBJIEgQRxBGMEVgRLBEEEOAQwBCkEIgQdBBcEEwQOBAoEBQQBA/4D+gP2A/MD8APtA+sD6QPoA+cD5gPmA+YD5wPnA+gD6QPqA+oD6gPpA+gD5gPjA+AD2wPVA88DyAPAA7cDrgOkA5sDkQOHA30DdANsA2MDXANVA08DSgNFA0EDPQM6AzcDNQMzAzADLgMrAygDJQMiAx4DGgMWAxEDDAMHAwMC/gL5AvUC8gLvAu0C6wLrAusC7ALuAvAC9AL4AvwDAQMGAwwDEAMVAxkDHAMfAyADIAMeAxsDFgMQAwcC/gLyAuUC1wLIArcCpgKUAoICcAJeAk0CPAIsAh0CEAIEAfkB8AHpAeMB3gHbAdkB1wHXAdcB2AHYAdgB2AHYAdYB1AHRAcwBxgG/AbcBrQGiAZcBigF+AXABYgFUAUcBOgEtASIBFwENAQUA/gD4APQA8QDwAPAA8QDzAPYA+gD/AQQBCQEPARUBGwEhASYBKwEwATQBOAE8AT8BQgFEAUcBSQFLAU0BTwFQAVIBVAFWAVgBWQFbAV0BXgFfAWABYQFhAWABXwFdAVsBWAFVAVEBTQFIAUMBPgE5ATQBLwEqASYBIgEfARwBGgEYARYBFQEVARUBFAEUARQBFAEUARMBEgEQAQ4BDAEJAQYBAgD+APoA9gDyAO8A7ADpAOcA5QDlAOQA5QDmAOgA6wDuAPEA9QD5AP0BAAEDAQYBCAEKAQsBDAEMAQsBCgEJAQgBBwEGAQYBBgEHAQkBDAEQARYBHQElAS4BOAFDAU8BXAFpAXUBggGOAZkBowGsAbMBuAG7Ab0BvAG6AbUBrwGmAZ0BkgGGAXkBbAFfAVIBRQE5AS4BJAEbARMBDQEIAQUBAwECAQIBAwEEAQYBCAELAQ0BDgEQARABEAEPAQ0BCgEHAQIA/QD3APEA6wDkAN4A1wDRAMwAxgDCAL4AuwC4ALYAtQC0ALUAtQC3ALgAuwC9AL8AwgDFAMgAywDOANEA1QDYANsA3wDiAOYA6gDuAPEA9gD6AP4BAwEHAQwBEQEVARkBHgEhASUBKAEsAS4BMQEzATQBNgE3ATgBOAE4ATkBOQE5ATkBOQE5AToBOwE8AT0BPgFAAUIBRAFHAUoBTQFQAVMBVwFaAV4BYgFlAWkBbAFwAXMBdgF4AXsBfQF/AYEBgwGEAYUBhgGHAYgBiQGKAYsBjAGNAY4BjwGRAZIBlAGWAZgBmwGdAZ8BogGkAaYBqAGpAasBrAGsAawBrAGrAaoBqQGnAaQBogGfAZsBmAGVAZEBjQGKAYYBgwGAAX0BewF5AXYBdQFzAXIBcAFvAW4BbQFsAWsBawFpAWgBZwFlAWQBYgFgAV4BXAFaAVkBVwFVAVQBUgFSAVEBUAFQAVEBUQFSAVMBVAFWAVgBWgFcAV4BYQFjAWUBZwFpAWsBbAFtAW4BbwFvAW4BbgFtAWsBagFnAWUBYgFfAVwBWAFUAVEBTQFJAUUBQQE+AToBNwE0ATEBLwEsASoBKAEmASQBIgEgAR4BHQEbARkBFgEUAREBDgELAQgBBQECAP4A+wD3APQA8ADtAOoA5wDlAOIA4ADeAN0A2wDaANkA2QDYANgA2ADXANcA1wDXANYA1gDWANYA1gDWANYA1gDXANgA2ADaANsA3QDeAOEA4wDmAOgA6wDuAPEA9AD3APoA/QD/AQIBBAEGAQgBCgELAQ0BDgEPAREBEgETARQBFQEWARgBGQEaARwBHQEfASABIgEjASUBJgEnASgBKgEqASsBLAEsASwBLAEsASsBKwEqASoBKQEoAScBJgEmASUBJAEkASQBJAEkASQBJAElASYBJwEoASkBKgErASwBLQEuAS8BLwEvATABLwEvAS8BLgEtAS0BLAErASsBKwErASsBLAEtAS8BMgE1ATkBPQFCAUgBTgFUAVsBYwFqAXIBegGCAYkBkQGYAaABpwGuAbQBuwHBAcgBzgHUAdsB4QHoAe8B9wH+AgYCDwIYAiICLAI2AkECTQJYAmUCcQJ+AowCmQKnArUCxALSAuEC7wL+Aw0DGwMpAzcDRQNTA18DbAN3A4IDjQOWA58DpwOtA7QDuQO+A8MDxwPLA88D0wPXA9wD4QPnA+4D9gP/BAkEFAQgBC0EOwRKBFkEaQR5BIkEmQSoBLcExgTTBOAE7AT3BQIFCwUVBR0FJgUvBTcFQQVLBVYFYwVxBYAFkgWkBbkFzwXmBf8GGQY0BlAGawaHBqIGvQbWBu8HBgcbBy8HQAdQB18Hawd2B4AHiQeQB5gHnwemB6wHtAe8B8QHzQfXB+EH6wf2CAEIDAgXCCAIKQgwCDYIOgg8CDsIOQg0CCwIIwgXCAkH+gfpB9gHxgezB6AHjgd9B2wHXAdNB0AHNAcpByAHFwcQBwgHAQb6BvMG7AbjBtkGzgbCBrUGpgaVBoMGcAZcBkcGMgYdBggF8wXgBc0FvQWuBaEFlwWPBYoFiAWIBYoFjwWWBaAFqwW4BcYF1QXlBfYGBwYZBioGPAZNBl4GbgZ+Bo0GnAarBrkGxwbUBuIG7wb8BwkHFgcjBzAHPQdKB1cHZAdxB34HigeXB6QHsAe8B8kH1QfhB+4H+ggHCBUIIggxCD8ITwhgCHEIhAiYCKwIwwjaCPMJDQkpCUUJYwmCCaIJwwnkCgcKKQpMCm8Kkwq2CtgK+gscCz0LXQt8C5kLtgvRC+wMBAwcDDIMRgxZDGsMewyKDJgMpAyvDLoMwgzKDNEM1wzcDN8M4wzlDOYM5wzoDOcM5gzlDOMM4QzfDNwM2QzWDNIMzwzLDMgMxAzBDL0MuQy1DLEMrQypDKUMoAycDJYMkQyLDIQMfQx1DG0MZAxaDE8MQww3DCkMGwwMC/wL6wvaC8gLtgujC48LfAtoC1ULQgsvCx0LDAr8Cu0K3wrTCskKwAq6CrUKswqyCrQKuAq+CsYK0ArcCukK+AsICxkLKws+C1ILZgt6C44Lowu3C8sL3wvzDAYMGAwqDDsMTAxcDGoMeAyEDJAMmQyhDKcMqwytDKwMqQyjDJsMkAyDDHMMYAxMDDUMHQwEC+oL0Au3C54LhgtwC1wLSws+CzMLLAspCyoLLgs3C0ILUQtjC3cLjQukC7wL1QvtDAQMGwwvDEcMWgxrDHgMggyJDI0MjgyMDIgMggx7DHIMaQxgDFcMTgxGDD8MOQw0DDEMLwwuDC4MLwwwDDIMMww1DDYMNgw2DDQMMgwuDCkMIgwbDBIMCQv/C/QL6QveC9MLyAu9C7MLqguhC5oLkwuNC4gLhAuAC30Lewt6C3gLeAt3C3YLdgt1C3QLcwtyC3ALbgtrC2gLZQthC1wLVwtSC0wLRgs/CzgLMQspCyELGQsQCwcK/gr1CuwK4grZCs8KxQq7CrEKpwqcCpIKhwp8CnEKZQpaCk4KQwo3CisKHwoTCgcJ/AnwCeUJ2QnOCcMJuAmuCaMJmQmPCYYJfAlyCWgJXglUCUoJQAk1CSoJHwkUCQgI/AjwCOQI1wjLCL8IswinCJsIkAiFCHsIcQhoCF8IVghOCEYIPwg4CDEIKwgkCB4IGAgSCAwIBggAB/oH9AfvB+kH5AfeB9kH1AfQB8sHxgfBB70HuAezB60HqAehB5sHkweLB4IHeAduB2MHVwdLBz0HMAcjBxUHBwb5BuwG3wbSBsYGuwawBqYGnAaUBosGhAZ8BnUGbwZoBmIGXAZVBk8GSQZCBjwGNgYvBikGIwYdBhgGEwYPBgsGBwYEBgAF/gX7BfgF9QXyBe4F6QXjBdwF1AXLBcAFswWlBZYFhQVyBV8FSgU1BSAFCgT0BN4EyQS1BKEEjgR8BGwEXQRPBEIENgQrBCEEFwQOBAYD/gP2A+4D5gPeA9YDzgPGA78DuAOwA6oDpAOfA5oDlwOUA5IDkQORA5IDlAOWA5kDnAOfA6IDpAOnA6gDqQOpA6gDpgOjA58DmgOUA40DhgN+A3UDbQNkA1wDUwNLA0MDOwM0Ay0DJwMhAxsDFQMQAwoDBQMAAvsC9QLwAuoC5ALeAtgC0QLLAsUCvwK5ArMCrgKpAqUCoQKeApsCmgKYApgCmAKZApoCnAKfAqICpQKpAq0CsAK0ArgCuwK+AsACwgLDAsMCwgLAAr0CuQK0Aq4CpwKfApYCjAKBAnYCawJfAlQCSAI9AjICKAIeAhYCDgIGAgAB+wH2AfIB7gHrAegB5QHiAd8B2wHWAdEBywHDAbsBsQGmAZoBjQF/AXABYQFQAT8BLwEeAQ0A/QDtAN4A0ADDALcArACjAJsAlQCQAIwAigCJAIkAiwCNAJAAlACZAJ4AowCpAK8AtQC7AMAAxgDMANEA1gDbAOAA5ADoAOwA8AD0APgA+wD+AQEBBAEGAQgBCgELAQwBDAEMAQwBCgEJAQcBBAEBAP4A+gD3APMA8ADtAOoA5wDlAOQA4wDjAOMA5ADlAOcA6QDrAO4A8ADyAPMA9QD1APUA9QDzAPEA7gDrAOcA4gDdANgA0gDNAMgAwwC/ALsAuAC2ALUAtAC0ALUAtwC5ALsAvgDBAMQAxwDKAMwAzgDQANEA0gDTANMA0wDTANMA0wDTANQA1gDZANwA4ADmAO0A9AD9AQcBEQEcASgBNAE/AUsBVgFhAWsBcwF7AYABhAGGAYYBhQGBAXwBdQFtAWQBWQFNAUEBNQEoARwBEAEGAPsA8gDqAOQA3gDaANcA1gDWANYA1wDZANwA3gDhAOQA5gDoAOkA6gDqAOkA6ADmAOMA4ADcANgA1ADPAMsAxwDDAL8AvAC5ALYAtACzALIAsQCxALEAsQCxALIAsgCzALMAtAC0ALUAtgC2ALcAuAC5ALoAvAC+AMAAwwDHAMsAzwDTANgA3gDjAOkA7gD0APoA/wEFAQoBDgESARYBGgEdAR8BIQEjASUBJgEnASgBKAEpASoBKgErASwBLQEuATABMQEzATUBNwE6ATwBPwFCAUUBSAFLAU4BUQFTAVYBWQFcAV8BYgFkAWcBaQFrAW4BcAFyAXQBdgF4AXoBfAF+AYABggGEAYYBiAGKAY0BjwGSAZQBlgGZAZsBnAGeAZ8BoAGhAaEBoQGhAaABngGcAZoBlwGUAZEBjQGJAYUBgQF+AXoBdgFzAW8BbAFqAWcBZQFkAWIBYQFfAV4BXQFcAVsBWgFZAVgBVgFUAVMBUQFOAUwBSgFHAUUBQwFAAT4BPAE7ATkBOAE3ATcBNwE3ATcBNwE4ATkBOQE6ATsBPAE9AT0BPgE+AT4BPgE+AT0BPAE8AToBOQE4ATYBNAEyATABLgErASkBJgEjAR8BHAEYARUBEAEMAQgBBAD/APsA9gDyAO4A6gDmAOIA3gDbANgA1QDTANEAzwDNAMsAygDIAMcAxgDEAMMAwgDAAL8AvgC8ALsAuQC4ALYAtQCzALIAsQCwAK8ArgCtAK0ArACrAKsAqgCqAKkAqACoAKcApwCmAKYApQClAKUApgCmAKcAqACpAKsArQCvALIAtQC4ALsAvgDCAMYAygDNANEA1ADXANoA3QDgAOIA5ADmAOgA6QDqAOsA7ADsAO0A7QDtAOwA7ADrAOsA6gDpAOgA5wDmAOUA5ADjAOIA4QDhAOAA3wDfAN4A3gDdAN0A3QDdANwA3ADcANsA2wDaANkA2ADXANYA1QDUANMA0QDQAM8AzgDNAMwAzADLAMsAywDLAMwAzADNAM4AzwDQANEA0wDUANUA1wDZANsA3QDgAOMA5gDqAO4A8gD3AP0BAwEKAREBGQEhASoBMwE8AUUBTgFYAWEBawF0AX0BhgGPAZgBoAGpAbIBugHDAcsB1AHdAeYB7wH4AgICCwIVAh8CKQIzAj0CRwJRAlsCZQJvAngCggKLApQCnQKmAq8CuALBAsoC0wLcAuUC7gL3AwADCAMRAxkDIQMoAy8DNgM9A0MDSQNOA1QDWQNfA2UDawNyA3kDggOKA5QDnwOrA7gDxgPVA+UD9gQHBBkEKwQ9BE4EYARxBIEEkQSfBK0EugTGBNEE2wTlBO8E+QUDBQ4FGQUmBTMFQwVUBWYFewWSBasFxQXhBf4GHQY8BlwGfQadBrwG2gb3BxMHLAdDB1gHawd7B4gHlAecB6MHqAerB60HrgeuB64HrgetB64HrgevB7EHswe2B7oHvgfCB8YHygfOB9EH0wfUB9QH0wfQB8wHxge/B7YHrAehB5UHiAd6B2wHXgdQB0EHMwckBxYHCAb6BusG3QbOBr8GrwaeBowGegZmBlEGOwYkBgwF9AXbBcEFqAWQBXgFYQVMBTkFKAUaBQ4FBgUBBQAFAQUHBQ8FGwUqBTsFTwVlBXwFlQWwBcoF5QYABhsGNQZOBmcGfgaVBqoGvgbRBuMG9AcEBxMHIgcxBz8HTQdbB2kHdweFB5QHoweyB8EH0AfgB/AH/wgPCB8ILwg+CE4IXghtCH0IjAicCKwIvAjMCNwI7Qj/CREJJAk3CUwJYQl3CY8JpwnACdsJ9goSCi8KTQpsCowKrArMCu0LDgsvC08LcAuQC7ALzwvuDAsMKAxDDF0MdgyODKQMuQzMDN4M7gz9DQoNFQ0fDSgNLw01DTkNPA0+DT4NPg09DTsNOA01DTINLg0pDSUNIQ0dDRkNFQ0SDQ8NDQ0LDQkNCA0HDQcNBw0HDQcNBw0HDQYNBQ0EDQIM/wz8DPcM8gzsDOQM3AzSDMgMvQywDKMMlQyGDHcMZwxWDEUMNAwjDBEMAAvuC90LzAu7C6sLnAuOC4ALcwtoC14LVQtNC0gLQwtACz8LQAtBC0ULSQtPC1cLXwtoC3ILfQuJC5ULoQutC7oLxwvUC+IL8Av+DAwMGwwqDDkMSQxZDGkMeQyJDJkMqAy3DMQM0AzaDOEM5wzpDOgM5AzdDNIMwwyxDJwMhAxpDEwMLgwPC+8L0AuyC5YLfAtlC1ILQws4CzILMAszCzoLRgtVC2gLfguWC7ALywvlDAAMGgwxDFgMaAx2DIEMiAyMDI0MjAyHDIEMeAxuDGMMWAxNDEIMOAwvDCcMIQwcDBkMFwwWDBcMGQwcDB8MIgwlDCcMKQwqDCoMKgwnDCQMIAwaDBQMDAwEC/wL8wvrC+IL2gvSC8sLxQu/C7sLtwu0C7ILsQuwC7ALsQuyC7MLtAu2C7cLuQu6C7oLugu6C7kLuAu1C7ILrwuqC6ULnwuYC5ELiQuAC3cLbgtkC1oLUAtGCzwLMgsoCx8LFgsOCwYK/gr2CvAK6QriCtwK1grPCskKwgq7CrMKqwqiCpgKjgqDCngKbApfClIKRQo3CikKGwoNCf8J8gnkCdcJygm+CbIJpgmbCY8JhAl5CW4JYwlYCUwJQAk1CSgJHAkPCQII9QjoCNoIzQi/CLIIpAiXCIoIfQhwCGMIVghKCD0IMQgkCBgIDAgAB/QH6AfdB9EHxge7B7AHpgedB5QHiweDB3sHdAduB2gHYgddB1gHUwdOB0kHQwc9BzcHMAcpByAHFwcOBwQG+QbuBuIG1gbKBr4GsgamBpoGjwaEBnoGcAZmBl0GVAZMBkUGPQY2Bi4GJwYgBhkGEgYLBgQF/QX2Be8F6AXiBdwF1gXRBcwFxwXCBb4FugW3BbMFrwWqBaUFoAWZBZIFiQV/BXQFaAVaBUsFOwUpBRcFBATwBNwExwSzBJ8EjAR5BGcEVgRFBDYEKAQbBA4EAwP4A+4D5APaA9EDyAO+A7UDqwOhA5cDjQODA3kDbwNlA1wDUwNMA0UDPwM6AzYDMgMwAy8DLwMvAy8DMAMyAzMDNAM1AzUDNQM0AzMDMQMuAysDJgMiAx0DFwMSAwwDBgMAAvoC9ALuAugC4gLcAtcC0QLLAsQCvgK3Aq8CqAKgApcCjwKGAn0CdAJqAmECWQJQAkgCQAI5AjICLQInAiICHgIbAhgCFQITAhICEQIQAhACEAIQAhECEgITAhUCGAIaAh0CIQIlAikCLgIyAjcCPAJAAkUCSAJMAk8CUQJSAlICUgJQAk4CSwJHAkMCPgI5AjMCLgIoAiMCHgIZAhQCEAIMAgkCBQICAf8B/AH4AfQB7wHqAeQB3AHUAcoBvwG0AaYBmAGIAXgBZgFUAUIBLwEcAQkA9gDkANIAwQCxAKIAlACHAHsAcQBoAGEAWgBVAFEATwBNAE0ATQBOAFAAUwBWAFoAXgBiAGcAbABxAHYAfACBAIcAjACRAJYAnAChAKUAqgCuALIAtgC6ALwAvwDAAMIAwgDDAMIAwQDAAL4AvAC5ALcAtQCyALAArwCuAK4ArwCwALIAtQC5AL0AwgDHAM0A0wDZAN8A5ADpAO0A8ADyAPIA8gDxAO4A6gDmAOAA2QDTAMsAwwC7ALQArAClAJ8AmQCTAI8AiwCIAIUAgwCCAIEAgACAAIAAgACAAIEAgQCCAIIAgwCEAIUAhwCJAIsAjwCTAJcAnQCkAKwAtAC9AMgA0wDfAOsA9wEEAREBHQEqATUBQAFKAVIBWQFfAWQBZgFoAWcBZQFhAVsBVQFNAUMBOQEvASQBGAENAQEA9wDsAOMA2gDTAMwAxwDDAMAAvgC9AL0AvgDAAMIAxQDHAMoAzQDPANEA0gDTANQA1ADTANIA0QDPAMwAygDHAMUAwwDAAL4AvAC7ALkAuAC4ALcAtgC2ALUAtQC0ALMAsgCwAK8ArQCrAKgApgCkAKIAoACeAJ0AnACcAJwAnQCfAKIApQCoAK0AsQC3ALwAwgDIAM4A1ADaAN8A5QDqAO4A8gD2APoA/QEAAQIBBQEHAQkBCwEMAQ4BEAERARMBFQEWARgBGgEbAR0BHwEgASIBJAElAScBKQErAS4BMAEzATUBOAE7AT8BQgFGAUoBTwFTAVcBXAFgAWUBaQFuAXIBdgF6AX4BggGFAYkBjAGPAZEBlAGWAZgBmgGbAZwBnQGdAZ0BnQGcAZsBmQGXAZUBkgGPAYsBhwGDAX8BegF2AXEBbAFoAWQBXwFbAVgBVAFSAU8BTQFLAUkBSAFHAUYBRQFEAUMBQgFBAUABPwE+ATwBOwE5ATcBNQEzATEBLwEtASsBKgEoAScBJQEkASMBIgEiASEBIAEfAR4BHQEbARkBFwEVARIBDwEMAQgBBQEBAP4A+gD3APQA8QDuAOwA6gDoAOYA5QDkAOMA4gDiAOAA3wDeANwA2gDXANQA0QDNAMkAxADAALsAtgCwAKwApwCiAJ4AmgCWAJMAkQCPAI0AjACLAIoAigCKAIoAigCKAIoAigCKAIoAiQCJAIgAhwCGAIUAhACDAIIAgQCAAH4AfQB8AHsAegB5AHgAdwB2AHYAdQB1AHUAdQB1AHYAdwB4AHoAfAB+AIEAhACHAIoAjgCSAJYAmgCeAKIApQCpAKwArwCyALUAtwC5ALsAvAC9AL4AvwC/AL4AvgC9ALwAuwC5ALcAtQCyALAArQCqAKYAowCgAJwAmQCWAJMAkACNAIsAiQCIAIcAhgCGAIYAhgCGAIcAhwCIAIgAiQCJAIgAiACHAIYAhQCEAIIAgAB+AH0AewB5AHgAdwB2AHYAdwB3AHgAegB8AH4AgQCEAIgAiwCPAJMAlwCcAKEApgCrALAAtgC8AMMAygDSANoA4gDsAPUA/wEKARUBIAEsATgBRAFQAVwBaAF0AYABjAGYAaMBrgG6AcUBzwHaAeUB7wH5AgQCDgIXAiECKgIzAjsCQwJKAlECVwJdAmICZgJqAm4CcAJzAnYCeAJ6AnwCfwKCAoUCiQKNApICmAKeAqQCqwKzArsCwwLLAtQC3QLnAvAC+QMDAw0DFwMhAywDNwNCA04DWgNnA3UDgwOSA6EDsQPBA9ID4gPyBAMEEwQiBDEEPwRMBFgEYwRuBHcEgASIBJAElwSeBKYErgS3BMAEywTYBOYE9gUIBR0FMwVLBWUFgAWdBbwF2wX7BhoGOgZZBncGlAavBsgG3wbzBwUHEwcgBykHLwczBzUHNAcyBy8HKgclBx8HGQcUBxAHDAcKBwkHCQcLBw8HFQcbByMHLAc3B0EHTAdXB2IHbAd1B30HgweIB4wHjQeMB4oHhQd+B3QHaQdcB0wHOwcoBxMG/QbmBswGsgaWBnoGXAY+BiAGAQXhBcIFowWFBWcFSwUwBRYE/wTqBNcExwS7BLIErASqBKsEsAS4BMUE1ATnBP0FFQUwBU0FawWLBawFzgXwBhIGMwZUBnQGkwaxBs0G6AcCBxoHMQdHB1sHbgeAB5IHogeyB8EH0AffB+4H/QgLCBoIKQg4CEcIVwhmCHYIhgiXCKcItwjICNkI6gj7CQwJHQkuCT8JUQljCXUJhwmZCawJvwnTCecJ+woQCiYKPApTCmoKggqbCrQKzgrpCwQLIAs8C1gLdQuSC7ALzQvqDAcMIww/DFsMdgyPDKgMwAzWDOsM/g0QDSANLw08DUcNUA1YDV4NYw1mDWgNaA1nDWYNYw1gDVwNWA1TDU8NSg1GDUINPw09DTsNOg05DToNOw09DT8NQg1FDUkNTA1PDVINVQ1WDVcNVg1VDVINTg1IDUENOA0uDSMNFw0KDPwM7gzfDM8MwAywDKEMkQyDDHQMZgxZDEwMQAw0DCkMHgwUDAsMAQv5C/EL6QviC9sL1QvQC8wLyAvGC8QLwwvDC8QLxQvIC8sLzwvUC9kL3gvkC+kL7wv0C/oMAAwFDAsMEAwWDB0MIwwrDDMMPAxGDFEMXQxqDHcMhgyUDKMMsQy/DMwM1wzhDOcM6wzsDOoM5AzaDM0MvAyoDJEMeAxdDEAMIwwGC+oLzwu3C6ELjwuAC3YLcAtvC3ILeguFC5QLpwu7C9IL6QwBDBkMLwxFDKIMsAy7DMQMygzNDM4MzAzIDMEMugyxDKcMnQyTDIkMgAx4DHAMagxmDGIMYAxfDF8MYAxhDGIMZAxmDGcMaAxoDGgMZwxlDGMMYAxcDFgMVAxQDEsMRwxDDD8MPAw4DDYMNAwyDDAMLgwtDCwMKwwqDCgMJgwkDCIMHwwbDBcMEwwNDAgMAgv7C/QL7AvkC9wL0wvKC8ALtgusC6ELlwuMC4ALdQtqC14LUwtICz4LMwspCyALFwsPCwcLAAr5CvMK7QroCuIK3QrYCtMKzQrHCsAKuAqwCqcKnQqRCoUKeApqClwKTAo9Ci0KHQoNCf4J7gngCdEJxAm3CasJnwmUCYoJfwl2CWwJYwlZCU8JRQk7CTAJJAkYCQwI/gjwCOII0wjDCLQIowiTCIMIcghiCFEIQQgwCCAIEAgBB/EH4gfUB8UHtweqB50HkQeFB3oHbwdlB1wHUwdMB0QHPgc4BzIHLgcpByQHHwcbBxYHEAcKBwQG/Qb2Bu0G5AbaBs8GxAa5Bq0GoAaTBocGegZuBmIGVgZKBj8GNQYrBiEGGAYQBgcF/wX3BfAF6AXgBdgF0AXIBcAFuAWvBacFnwWWBY4FhwV/BXgFcQVqBWQFXgVYBVIFTAVHBUAFOgUzBSsFIwUZBQ8FBAT3BOoE2wTLBLsEqgSYBIYEcwRhBE4EPAQqBBkECAP4A+kD2gPMA78DswOnA5sDkAOGA3sDcANmA1sDUANFAzoDMAMlAxoDEAMGAvwC8wLrAuMC3QLXAtICzgLKAsgCxgLFAsMCwwLCAsECwQLAAr8CvQK7ArgCtgKyAq8CqwKnAqMCnwKaApYCkgKNAokChQKAAnwCdwJxAmwCZQJeAlYCTgJFAjsCMAIlAhkCDQIBAfUB6QHdAdIByAG+AbUBrQGmAaABmwGXAZMBkQGOAYwBiwGKAYkBiAGHAYYBhQGEAYQBhAGEAYUBhwGKAY4BkwGYAZ8BpwGwAbkBxAHOAdkB5AHvAfkCAgILAhICGAIdAiECIwIkAiMCIgIgAh4CGwIXAhQCEQIOAgsCCQIHAgYCBQIFAgQCBAIDAgICAQH+AfsB9gHwAekB4AHWAcoBvQGuAZ4BjQF7AWgBVQFBAS4BGgEHAPQA4QDPAL4ArgCfAJIAhQB5AG4AZQBdAFUATwBKAEUAQgA/AD0APAA7ADsAPAA9AD8AQQBEAEgASwBQAFQAWQBfAGQAagBwAHYAfACCAIgAjQCSAJcAmwCeAKAAoQCiAKEAoACfAJwAmQCWAJIAjwCMAIkAhwCGAIUAhgCIAIsAjwCUAJoAoQCoALAAuADAAMgAzwDVANsA3wDiAOMA5ADiAOAA3ADXANAAyQDBALkAsACoAJ8AlgCOAIYAfwB4AHEAawBmAGAAXABYAFMAUABMAEkARgBDAEEAPwA+AD0APQA+AEAAQwBGAEsAUgBZAGEAawB1AIEAjQCaAKgAtgDDANEA3wDsAPkBBQEQARoBIwErATIBOAE8AT4BQAFAAT8BPQE5ATUBLwEpASIBGgESAQoBAQD4APAA5wDfANgA0QDLAMYAwQC9ALsAuQC4ALcAuAC5ALoAuwC9AL8AwADCAMMAxADEAMQAwwDCAMEAvwC9ALoAuAC2ALQAsgCwAK8ArgCtAK0ArQCuAK4ArwCvALAAsACwAK8ArgCtAKsAqAClAKIAngCaAJcAkwCPAIwAiQCHAIUAhACDAIQAhQCHAIkAjQCQAJQAmQCeAKMApwCsALEAtgC6AL8AwwDHAMsAzgDSANUA2QDcAN8A4wDmAOkA7QDwAPMA9gD4APsA/QEAAQEBAwEEAQYBBwEIAQkBCgEMAQ0BDwERARQBFwEbAR8BJAEpAS8BNQE7AUIBSQFQAVcBXQFkAWoBcAF2AXsBgAGEAYgBjAGPAZEBkwGVAZYBlwGXAZcBlwGXAZYBlQGTAZIBkAGNAYoBhwGEAYABfAF4AXMBbgFpAWQBXwFaAVUBUAFLAUcBQwFAAT0BOgE4ATYBNAEzATIBMgEyATEBMQExATEBMQEwATABLwEuAS0BKwEpASgBJgEkASIBHwEdARsBGQEXARUBEgEQAQ0BCwEIAQUBAQD+APkA9QDwAOsA5QDfANkA0wDNAMcAwgC8ALgAswCvAK0AqgCpAKgApwCnAKgAqQCqAKsArACtAK0ArQCsAKsAqACmAKIAngCaAJUAjwCKAIUAfwB6AHUAcQBtAGkAZwBlAGMAYgBiAGIAYwBjAGQAZQBmAGcAaABoAGgAaABoAGgAZwBmAGUAZABiAGEAXwBeAF0AWwBaAFgAVwBWAFUAVABTAFMAUgBSAFIAUwBTAFQAVQBXAFkAWwBdAGAAYwBmAGkAbABvAHMAdgB5AHsAfgCAAIEAgwCEAIQAhACEAIQAgwCCAIAAfwB9AHsAeQB3AHQAcQBvAGsAaABkAGAAXABYAFMATwBKAEUAQAA7ADcAMgAuACoAJwAkACIAIAAfAB4AHQAdAB4AHwAfACAAIQAiACMAJAAlACUAJgAmACYAJwAoACgAKQArACwALgAxADQANwA7AEAARQBKAFAAVQBbAGIAaABuAHUAewCCAIkAkACXAJ8ApgCvALgAwQDLANYA4gDuAPoBCAEWASQBMwFCAVEBYAFvAX8BjgGcAasBuQHGAdMB4AHsAfgCAwIOAhgCIgIrAjQCPAJEAkoCUAJVAlkCXQJfAmACYAJfAl4CWwJZAlUCUQJNAkkCRQJBAj4CPAI6AjoCOgI8Aj8CQwJIAk8CVgJfAmgCcgJ+AokClgKjArECvwLOAt0C7AL8Aw0DHgMvA0EDVANmA3kDjAOfA7IDxAPWA+gD+AQHBBUEIgQtBDcEPwRGBEsETwRRBFIEUwRTBFMEUwRUBFYEWARcBGIEaQRzBH8EjQSdBLAExATbBPMFDQUoBUQFYQV+BZoFtgXSBesGBAYaBi8GQQZRBl4GaQZxBncGewZ8BnwGegZ3BnMGbgZpBmUGYQZdBlsGWwZcBl8GZQZsBnYGgwaRBqIGtAbHBtwG8QcGBxsHMAdCB1QHYwdvB3kHfweCB4AHewdyB2UHVAc/ByYHCgbrBsoGpgaABlkGMQYJBeAFuAWQBWoFRgUkBQQE5gTLBLQEnwSOBIAEdgRwBG0EbQRxBHgEggSPBJ8EsgTHBN4E9wUSBS4FTAVrBYsFrAXNBe8GEQYyBlQGdgaXBrcG1wb3BxYHMwdQB2wHiAeiB7sH0wfrCAEIFggrCD8IUghkCHUIhgiXCKcItgjGCNUI5AjzCQIJEQkhCTAJQAlQCWAJcQmCCZMJpAm2CcgJ2gnsCf8KEQokCjcKSgpdCnAKhAqXCqsKvgrSCucK+wsRCyYLPAtSC2kLgAuYC7ALyQviC/sMFAwuDEgMYQx6DJMMqwzCDNkM7g0DDRUNJw03DUUNUg1dDWcNbg11DXkNfQ1/DYANgA1/DX0New15DXYNdA1xDXANbg1uDW4Nbw1xDXQNdw17DYANhg2MDZINmA2eDaMNpw2rDa0Nrg2tDaoNpg2fDZYNjA1/DXENYQ1QDT0NKQ0VDQEM7QzZDMYMtAyjDJQMhQx5DG4MZAxcDFYMUAxMDEkMRgxDDEEMPww9DDoMNww0DDEMLQwpDCUMIQwdDBoMFwwUDBIMEQwRDBIMEwwUDBcMGgwdDCAMIwwmDCgMKwwtDC4MLwwwDDEMMgwzDDQMNww6DD4MRAxLDFMMXQxoDHQMgQyPDJ4MrAy6DMYM0QzaDOEM5QzmDOQM3wzWDMsMvAysDJkMhAxvDFoMRQwxDB4MDgwBC/cL8QvtC+4L8gv6DAUMEwwjDDUMRwxbDG4MgQyTDRQNIg0uDTgNQA1GDUoNTA1NDUsNSA1EDT8NOQ0zDSwNJg0gDRkNFA0ODQkNBA0ADPwM+Az0DPEM7QzpDOUM4QzeDNoM1gzSDM8MzAzJDMcMxQzFDMQMxAzFDMYMxwzJDMoMzAzMDM0MzQzMDMkMxgzBDLwMtAyrDKEMlgyJDHwMbQxeDE4MPgwuDB0MDQv8C+wL3QvOC78LsAuiC5ULiAt7C28LYwtXC0wLQAs1CyoLIAsVCwsLAQr3Cu4K5QrcCtQKzArECrwKtQqtCqYKngqWCo0KhQp7CnEKZgpbCk8KQgo0CiYKGAoJCfoJ6wncCc0JvwmxCaQJlwmLCYAJdglsCWIJWQlRCUgJQAk3CS4JJQkbCREJBgj6CO0I4AjRCMIIswiiCJEIgAhuCFwISgg4CCYIFAgCB/EH4AfQB8AHsQejB5UHiAd8B3EHZgdcB1MHSwdEBz0HNwcxBywHJwciBx4HGQcUBw8HCQcDBvwG9QbsBuMG2QbNBsEGtQanBpkGigZ7BmwGXAZNBj4GLgYgBhIGBAX3BesF3wXUBckFvwW1BawFowWaBZIFiQWABXcFbgVlBVwFUwVJBUAFNgUtBSMFGgUQBQcE/gT2BO4E5gTeBNcE0ATJBMIEuwS0BKwEpAScBJMEiQR/BHQEZwRbBE0EPwQwBCAEEAQAA+8D3wPOA70DrQOdA40DfgNuA2ADUgNEAzcDKQMdAxADBAL3AusC3wLUAsgCvQKyAqgCngKUAowChAJ9AncCcQJtAmkCZwJlAmQCYwJjAmMCZAJkAmUCZQJlAmQCYwJiAmACXQJbAlcCVAJQAksCRwJCAj0COAIzAi0CKAIhAhsCEwIMAgMB+QHvAeQB2AHLAb0BrwGgAZEBggFyAWQBVgFJATwBMgEoASABGQEUARABDgEMAQwBDAENAQ8BEAESARMBFAEVARYBFwEXARgBGQEbAR0BIAEkASkBLwE4AUEBTAFYAWUBcwGBAZABnwGtAbsBxwHSAdwB5AHqAe4B8QHxAfEB7wHsAegB5AHgAdsB2AHVAdMB0gHSAdMB1QHXAdoB3gHhAeQB5wHpAeoB6QHnAeMB3gHXAc0BwwG2AagBmQGJAXcBZQFTAUABLgEbAQkA9wDmANYAxgC3AKoAnQCRAIYAewByAGkAYgBaAFQATgBJAEQAQAA8ADkANwA1ADQAMwAzADQANgA4ADwAQABFAEsAUgBZAGEAaQBxAHoAggCJAJEAlwCcAKAAowCkAKQAowCgAJwAlwCRAIsAhAB9AHcAcQBsAGgAZQBkAGMAZQBoAGwAcQB4AH8AhgCOAJYAnQCkAKoArgCyALQAtQC1ALMAsACsAKcAogCcAJUAjwCIAIEAewB1AG8AagBkAF8AWwBWAFEATQBIAEMAPgA5ADQAMAArACcAIwAgAB4AHAAcAB0AHwAjACgALgA2AD8ASABTAF8AawB4AIUAkQCeAKoAtgDAAMoA1ADcAOMA6QDvAPMA9gD5APsA/AD8APwA+wD6APgA9gDzAO8A7ADoAOQA3wDbANYA0gDNAMkAxQDBAL4AuwC5ALcAtgC1ALQAtAC1ALUAtgC2ALcAtwC3ALYAtQC0ALEArwCsAKkApQCiAJ4AmgCXAJQAkgCRAJAAjwCQAJEAkwCVAJgAmwCeAKEApACmAKgAqQCpAKkAqACmAKMAoACcAJgAkwCPAIoAhgCCAH8AfQB7AHkAeQB5AHoAewB9AH8AggCFAIgAiwCOAJEAlACXAJoAnQCgAKMApgCqAK0AsQC1ALkAvgDCAMcAzADRANYA2wDfAOMA5wDqAOwA7gDwAPEA8gDzAPMA9AD0APUA9gD4APoA/QEAAQQBCQEPARUBHAEjASoBMgE6AUIBSgFSAVkBYAFmAWwBcQF1AXkBfQGAAYIBhAGFAYYBhwGHAYgBiAGHAYcBhgGGAYQBgwGBAX8BfQF6AXcBcwFvAWsBZgFhAVwBVwFSAU0BSAFDAT8BOwE3ATQBMgEwAS4BLQEtAS0BLQEuAS8BMAExATIBMwE0ATQBMwEyATEBLwEtASoBJgEiAR4BGgEVARABDAEHAQIA/gD5APQA8ADsAOcA4wDeANoA1QDQAMoAxQC/ALkAsgCsAKUAnwCZAJMAjgCJAIUAggB/AH0AfAB7AHsAewB8AH0AfgB/AH8AgAB/AH8AfQB8AHkAdgByAG4AagBlAGEAXABYAFQAUQBOAEwASwBKAEkASgBKAEsATQBOAFAAUQBTAFQAVQBVAFYAVQBVAFQAUwBRAFAATgBMAEsASQBHAEUARABCAEEAPwA+AD0AOwA6ADkAOAA3ADYANQA0ADQAMwAzADQANAA1ADYANwA4ADkAOwA8AD4APwBAAEAAQABAAEAAPwA9ADsAOQA2ADMAMAAsACkAJQAiAB4AGgAXABMAEAANAAkABgAD////+//3//P/7//q/+X/4f/c/9f/0v/O/8n/xf/B/73/uv+4/7X/tP+y/7H/sf+x/7H/sv+z/7X/tv+5/7v/vv/B/8X/yf/O/9P/2f/g/+f/7//3//8ACAASABsAJQAvADgAQgBLAFQAXQBmAG8AdwB/AIgAkACZAKMArQC3AMMAzwDcAOoA+AEIARgBKQE7AU0BXwFxAYMBlQGmAbcBxwHXAeUB8wH/AgsCFgIgAikCMQI4Aj4CRAJIAkwCTwJRAlICUgJRAk4CSwJHAkECOwI0AiwCJAIbAhICCgIBAfkB8gHsAecB4wHgAeAB4AHiAeYB6gHxAfgCAQILAhUCIQItAjoCSAJXAmYCdgKHApkCrAK/AtQC6gMBAxkDMgNLA2UDfwOZA7MDzAPkA/sEEAQiBDMEQARLBFMEWQRbBFsEWARTBE0ERAQ7BDIEKAQfBBcEEQQMBAkECQQLBBAEGAQiBC8EPgRQBGMEeASPBKcEvwTYBPAFCQUhBTgFTgVjBXcFiQWaBakFtwXDBc4F1wXfBeYF6wXwBfQF+AX8Bf8GBAYIBg4GFAYcBiYGMAY9BksGWgZsBn4GkQalBroGzgbiBvQHBQcUByEHKgcvBzEHLgcnBxsHCgb1BtsGvQabBnUGTAYhBfQFxgWXBWkFOwUPBOUEvgSZBHkEXAREBDEEIQQXBBEEDwQSBBgEIgQwBEAEUwRpBIAEmQSyBM0E6AUEBSAFPAVYBXMFjwWrBcYF4gX+BhsGNwZUBnIGkAavBs4G7gcOBy4HTwdwB5EHsQfRB/EIEAguCEsIZwiBCJsIswjKCOAI9QkICRsJLQk+CU4JXgluCX0JjQmcCawJvAnMCdwJ7Qn+Cg8KIQoyCkQKVwppCnsKjgqgCrMKxQrXCuoK/AsOCyALMgtDC1ULZwt6C4wLnwuyC8UL2QvtDAEMFgwrDEAMVgxsDIEMlwysDMIM1gzqDP0NDw0hDTENQA1NDVkNZA1uDXcNfg2EDYkNjg2RDZQNlw2ZDZsNnQ2fDaINpQ2oDawNsQ22Db0Nww3LDdIN2g3jDesN8w37DgMOCQ4ODhIOFA4VDhMOEA4KDgEN9g3oDdkNxg2yDZwNhA1rDVINNw0dDQQM6wzTDL0MqgyYDIgMfAxyDGoMZQxiDGEMYQxjDGYMaQxtDHAMcwx1DHUMdQxzDHAMbAxnDGEMWgxTDEwMRQw+DDgMMwwuDCwMKgwqDCoMLAwvDDIMNQw5DD0MQAxDDEYMRwxIDEkMSAxIDEcMRwxHDEcMSQxMDFAMVgxeDGcMcwx/DI0MnAysDLwMzAzaDOgM9Az+DQYNCw0NDQ0NCQ0DDPsM8AzkDNcMyQy7DK4MogyXDI4MiAyEDIMMhQyKDJEMmwynDLUMxAzUDOUM9Q0FDWMNcQ1/DYsNlg2gDakNsA22DboNvQ2/DcANvw2+DbsNuQ21DbANrA2mDaANmg2UDY0NhQ1+DXYNbg1nDV8NWA1SDUsNRg1BDT4NOw05DTkNOQ07DT0NQA1DDUcNSw1ODVENUw1UDVQNUg1PDUkNQg05DS0NHw0QDP4M6wzWDMEMqgySDHsMYwxLDDQMHQwHC/IL3wvMC7oLqgubC40LgAt0C2gLXQtSC0gLPQszCygLHgsTCwgK/ArxCuUK2QrNCsEKtQqpCp0KkgqGCnsKbwpkClkKTgpDCjkKLgoiChcKCwoACfQJ6AncCdAJxAm3CasJoAmUCYkJfglzCWkJXwlWCUwJQwk5CTAJJgkdCRMJCAj9CPII5gjZCMsIvQiuCJ8Ijgh9CGwIWghICDYIIwgRB/4H7AfaB8gHtwemB5YHhwd4B2sHXgdTB0gHPwc2By8HKAciBxwHGAcTBw4HCgcFBwAG+wb1Bu4G5gbdBtMGyAa8Bq4GoAaRBoEGcQZfBk4GPAYqBhgGBwX1BeQF1AXEBbQFpgWYBYoFfQVxBWUFWQVOBUQFOgUvBSYFHAUSBQkFAAT2BO0E4wTaBNEExwS+BLUEqwSiBJgEjwSGBH0EdARrBGIEWQRRBEgEPwQ3BC4EJQQdBBQECwQBA/cD7QPiA9cDzAPAA7MDpgOZA4sDfQNuA18DUANBAzIDIwMUAwUC9gLoAtkCywK9Aq4CoQKTAoYCeQJsAl8CVAJIAj4CNAIqAiICGwIUAg8CCwIIAgYCBgIGAgcCCQILAg4CEQIUAhcCGgIcAh4CHwIfAh8CHQIbAhgCFAIPAgoCBAH9AfUB7QHlAdwB0gHJAb4BswGnAZoBjQF/AXABYQFRAUEBMAEfAQ4A/gDuAN4A0ADDALgArgClAJ8AmgCXAJYAlgCYAJsAnwCkAKkArgC0ALkAvQDCAMYAyQDMAM8A0wDWANkA3gDjAOoA8QD6AQQBDwEcASkBNwFGAVQBYwFwAX0BiAGSAZoBoAGkAaYBpQGkAaABnAGWAZEBigGFAX8BewF4AXYBdQF2AXgBfAGAAYYBiwGRAZcBnQGhAaQBpwGnAaYBowGeAZcBjwGFAXoBbQFfAVABQAEwASABEAEAAPAA4ADRAMIAtACnAJsAjwCEAHkAcABnAF4AVgBPAEgAQQA7ADUAMAArACYAIgAeABsAGAAWABUAFAAVABcAGgAeACMAKQAxADkAQgBLAFYAYABpAHMAewCDAIkAjgCRAJIAkQCOAIoAhAB9AHQAbABiAFkAUABIAEEAOwA3ADQAMwAzADYAOQA+AEQASgBRAFgAXwBlAGoAbwByAHQAdgB2AHUAcwBwAG0AaQBlAGEAXQBaAFYAUwBRAE4ATABKAEgARgBEAEIAPwA8ADkANQAxACwAKAAjAB8AGwAXABQAEQAQABAAEQASABUAGQAfACUALAAzADsAQwBMAFUAXQBlAG0AdQB8AIIAiACOAJMAlwCbAJ8AowCmAKoArQCwALIAtQC4ALoAvAC9AL4AvwDAAMAAwAC/AL4AvQC8ALoAuQC4ALcAtgC1ALUAtQC2ALYAuAC5ALoAuwC8AL0AvQC8ALsAugC3ALQAsACsAKcAoQCcAJYAkQCMAIgAhACBAH8AfgB+AH8AgQCEAIcAiwCPAJMAlwCaAJ0AnwChAKEAoQCfAJ0AmgCWAJIAjQCIAIMAfwB6AHcAcwBxAG8AbgBtAG4AbgBvAHEAcgB0AHYAeAB5AHsAfAB+AH8AgQCDAIUAhwCKAI0AkQCVAJoAoACmAKwAsgC5AL8AxQDLANAA1QDZANwA3gDgAOAA4QDgAOAA3wDfAN4A3gDfAOAA4gDlAOkA7gDzAPoBAQEJARIBGwEkAS0BNgE+AUcBTwFWAV0BYwFpAW4BcgF2AXkBfAF+AYABggGDAYQBhQGGAYYBhgGFAYQBgwGBAX8BfQF6AXYBcgFtAWgBYwFeAVgBUgFMAUcBQQE8ATgBNAEwAS0BKwEqASkBKQEqASsBLQEvATIBNAE3ATkBOwE8AT0BPQE8AToBNwEzAS8BKQEiARsBEwELAQMA+gDyAOkA4gDaANMAzQDHAMIAvQC5ALQAsACtAKkApQChAJwAlwCSAI0AhwCCAHwAdgBwAGsAZgBhAF0AWQBXAFQAUgBRAFAAUABPAE8ATgBOAE0ATABLAEkARwBFAEMAQAA9ADsAOAA2ADUAMwAzADIAMwA0ADUANwA4ADsAPQA/AEAAQgBDAEMAQwBDAEIAQAA+ADwAOQA3ADQAMQAuACwAKQAnACUAIgAgAB4AHAAaABgAFgAUABEADwAMAAkABgADAAD//v/7//n/9//1//T/8//y//L/8v/y//L/8v/x//H/8P/v/+3/6//o/+X/4f/d/9j/0//O/8n/w/++/7n/tP+v/6v/p/+j/5//nP+Z/5b/k/+R/47/jP+J/4f/hP+C/3//fP95/3b/dP9x/27/a/9p/2b/ZP9i/2D/X/9e/13/Xf9e/17/YP9i/2b/av9v/3X/e/+D/4z/lv+h/63/uf/G/9P/4f/v//0ACgAYACUAMgA+AEoAVQBgAGsAdQCAAIsAlgChAK0AugDIANcA5wD3AQkBHAEvAUMBWAFsAYEBlQGoAbsBzQHdAewB+gIGAhECGwIiAikCLQIxAjQCNQI1AjUCMwIxAi0CKQIjAh0CFgIOAgYB/AHxAeYB2wHPAcMBtwGrAaABlgGNAYUBfgF5AXYBdQF1AXcBewGBAYcBjwGZAaIBrQG4AcQB0AHcAegB9QICAhACHwIuAj8CUgJmAnwClAKuAsoC6AMIAykDSwNuA5EDswPVA/UEEwQuBEYEWgRrBHcEfwSDBIIEfgR2BGoEXARMBDoEKAQUBAID8APgA9IDxgO8A7YDsgOxA7QDuQPBA8wD2QPpA/oEDQQhBDcETQRlBH0ElQSuBMcE4QT6BRMFLAVEBVwFcwWKBaAFtAXIBdsF7AX9BgwGGgYnBjQGPwZKBlQGXgZnBnAGeQaBBokGkAaXBpwGoQakBqUGpAagBpoGkAaDBnMGXgZGBioGCwXoBcMFmgVvBUMFFgTpBLsEjwRlBD0EGAP2A9kDwAOrA5wDkgONA40DkgOcA6oDvAPSA+oEBgQjBEIEYgSDBKMExATkBQMFIgU/BVsFdgWQBakFwgXaBfIGCgYiBjsGVAZvBooGpwbFBuQHBAcmB0gHaweOB7EH1Qf4CBsIPQheCH4InQi6CNYI8QkKCSIJOQlOCWMJdwmKCZwJrwnACdIJ4wn1CgYKFwopCjoKTApdCm8KgQqTCqUKtgrICtoK7Ar9Cw8LIAsyC0MLVAtmC3cLiAuaC6sLvAvOC98L8QwCDBQMJgw4DEoMXAxuDIAMkgyjDLUMxgzXDOgM+A0HDRYNJA0xDT4NSg1VDV8NaA1xDXoNgg2JDZANlw2fDaYNrQ21Db0Nxg3PDdgN4g3sDfcOAQ4MDhcOIg4tDjgOQg5LDlMOWw5hDmYOaQ5qDmoOaA5jDl0OVA5JDjsOKw4ZDgQN7g3WDbwNog2GDWoNTg0yDRcM/QzlDM8MuwyqDJsMjwyGDIEMfQx8DH4MgQyFDIsMkAyWDJwMoAykDKYMpgykDKEMmwyUDIwMggx4DG0MYgxXDE0MRAw8DDYMMQwuDC0MLQwuDDEMNQw6DD8MRAxJDE0MUQxUDFYMWAxZDFkMWQxZDFoMWwxdDGAMZQxrDHQMfgyKDJcMpgy3DMgM2gzsDP0NDg0dDSoNNg0/DUUNSQ1KDUgNRQ0/DTcNLg0lDRsNEQ0IDQAM+Qz0DPEM8QzzDPcM/Q0FDRANHA0pDTcNRQ1UDWQNcA18DYcNkw2dDacNsA24Db8Nxg3LDdAN1A3WDdgN2g3aDdoN2A3XDdQN0Q3NDcgNww2+DbkNsw2tDagNow2eDZoNlw2UDZMNkg2SDZMNlA2WDZgNmw2dDZ8NoQ2iDaINoA2dDZkNkg2KDYANcw1lDVUNQg0vDRkNAwzrDNIMuQyfDIYMbQxUDDwMJQwPC/oL5wvVC8QLtQunC5sLjwuFC3sLcgtpC2ALWAtPC0ULOwsxCyULGgsNCv8K8QriCtMKwwqzCqMKkwqDCnMKZApVCkcKOQorCh4KEQoFCfoJ7gnjCdgJzgnECbkJrwmlCZsJkgmICX4JdAlqCWAJVglMCUEJNwksCSEJFQkJCP0I8AjjCNUIxwi5CKoImwiLCHsIaghZCEgINggkCBIIAAftB9sHyAe1B6MHkQd/B20HXQdNBz0HLwciBxYHCgcABvcG7wbnBuAG2gbUBs4GyAbCBrsGtAasBqMGmQaOBoIGdQZnBlgGSAY4BicGFgYFBfQF4wXSBcIFsgWiBZMFhAV1BWcFWQVMBT8FMQUkBRgFCwT+BPIE5wTbBNAExQS7BLEEpwSfBJYEjgSHBIAEeARyBGsEYwRcBFQETAREBDoEMQQnBBwEEQQGA/sD7wPjA9cDywPAA7QDqQOeA5MDiAN9A3MDaANdA1MDSAM8AzEDJQMZAwwDAALzAuUC1wLKArsCrQKfApECggJ0AmYCWAJKAjwCLgIhAhQCBwH7AfAB5QHbAdIByQHCAbwBuAG0AbIBsQGxAbIBtQG4AbsBvwHDAcgBzAHPAdIB1AHWAdYB1AHSAc8BygHEAb0BtQGsAaIBlwGMAYEBdQFoAVwBTwFBATQBJgEYAQkA+wDsAN0AzgC/ALEAogCVAIgAewBwAGcAXgBYAFMAUABOAE4AUABUAFgAXgBlAGwAcwB7AIIAigCQAJcAnAChAKYAqgCuALIAtwC7AMAAxgDMANMA2wDkAO0A9wEBAQwBFgEfASgBMAE2ATsBPwFBAUEBQAE+AToBNgEyAS0BKAEkASABHQEcARsBHAEeASEBJQEqATABNQE7AUEBRgFKAU0BTwFQAVABTgFKAUYBPwE4AS8BJgEcARABBQD4AOwA3gDRAMQAtgCoAJsAjgCAAHQAZwBbAFAARQA6ADAAJwAfABcAEAAJAAP//f/4//P/7//r/+f/4//g/93/2//a/9n/2f/a/93/4P/k/+r/8f/4AAEACQASABsAIwArADIANwA8AD4APwA+ADwAOAAzAC0AJgAfABgAEgAMAAcAAwABAAAAAAACAAUACgAPABUAGwAiACgALQAyADYAOQA6ADsAOgA5ADYAMwAvACoAJgAiAB0AGQAWABMAEAAOAA0ADAALAAoACQAIAAgABwAFAAQAAgAA/////P/6//j/9//1//T/8//z//P/9P/1//b/+P/7//0AAAADAAYACgAOABIAFgAaAB4AIwAoAC0AMwA5AEAARwBOAFYAXgBmAG8AdwB/AIgAjwCXAJ4ApACqAK8AswC3ALkAuwC9AL4AvwC/AMAAwADBAMIAwwDFAMgAywDOANIA1QDaAN4A4gDmAOkA6wDtAO4A7QDsAOkA5QDgANoA0wDMAMQAvAC0AKwApQCeAJgAkwCPAIwAigCJAIkAiQCKAIoAiwCMAI0AjQCMAIoAiACFAIIAfQB5AHMAbgBpAGQAXwBaAFcAUwBRAFAATwBPAE8AUABRAFIAVABWAFcAWQBaAFsAXABdAF4AYABhAGQAZgBqAG4AcwB5AH8AhgCOAJYAngCmAK4AtgC8AMIAxwDLAM4AzwDQAM8AzgDMAMkAxwDFAMMAwQDBAMIAxADHAMwA0gDZAOIA6wD2AQEBDQEZASUBMQE9AUgBUgFcAWYBbgF2AX0BgwGJAY4BkgGWAZkBnAGeAaABoQGiAaIBoQGgAZ4BmwGYAZQBjwGKAYQBfQF2AW4BZwFfAVcBTwFIAUEBOgE0AS4BKQEkASEBHgEdARwBHAEcAR4BIAEiASUBKQEsAS8BMgE0ATUBNgE2ATQBMgEuASgBIgEaAREBBwD9APIA5gDbANAAxQC7ALEAqAChAJoAlACPAIoAhwCEAIEAfgB7AHkAdQByAG4AagBlAGAAWgBVAE8ASQBDAD4AOQA1ADEALgArACgAJwAlACQAIwAiACEAIAAfAB4AHQAbABkAGAAWABUAFAATABIAEgATABQAFQAXABkAHAAeACAAIgAkACUAJgAmACYAJAAiACAAHAAZABUAEAAMAAcAA/////v/9//0//H/7v/s/+n/5v/k/+H/3v/a/9b/0v/O/8r/xf/A/7z/t/+z/6//q/+o/6b/pP+j/6L/of+h/6H/of+i/6L/of+g/5//nf+b/5f/k/+P/4r/hP99/3f/cP9p/2H/Wv9U/03/R/9C/zz/OP80/zH/L/8t/yv/K/8q/yr/K/8r/yz/Lf8u/y//MP8x/zL/Mv8y/zL/Mv8x/zD/L/8u/y7/Lf8t/y3/Lv8v/zL/Nf86/0D/R/9Q/1r/Zf9y/3//jf+c/6z/vP/N/93/7f/9AA0AHQAsADoASABWAGQAcgCAAI4AnQCtAL0AzgDgAPMBBwEbATABRQFbAXABhQGaAa0BvwHQAd8B7AH3AgACBwIMAhACEQIQAg4CCwIHAgEB+wH0AewB4wHaAdABxgG7AbABpAGYAYsBfgFwAWIBVAFHATkBLQEhARcBDgEHAQIA/wD+AP8BAgEIAQ8BGQEkATABPQFLAVkBZwF2AYQBkQGfAawBuQHFAdIB4AHvAf8CEAIjAjkCUQJrAokCqALLAu8DFQM9A2YDjgO3A94EAwQlBEQEYAR3BIkElgSeBKEEnwSYBI0EfQRrBFUEPQQkBAoD8APXA78DqAOTA4EDcQNlA1wDVQNSA1MDVgNcA2YDcwOCA5QDqQPAA9oD9gQUBDQEVgR5BJ4EwwTpBQ4FNAVZBX0FnwW/Bd4F+QYSBikGPAZMBlgGYgZpBm0GbgZtBmoGZAZdBlQGSQY8Bi0GHQYLBfgF4gXKBbEFlQV3BVcFNQUSBOwExgSeBHcETgQnBAAD2wO4A5cDegNfA0gDNgMoAx4DGQMYAxwDJAMwA0EDVQNsA4YDowPBA+IEAwQmBEkEbASPBLIE1AT1BRYFNgVUBXIFjwWsBcgF4wX/BhsGNgZTBnAGjQasBssG6gcLBywHTgdxB5MHtgfYB/oIHAg8CFwIewiZCLYI0QjrCQUJHQk1CUwJYgl3CYwJoQm2CcoJ3gnyCgYKGgouCkEKVApnCnkKiwqcCq0KvgrPCt8K7gr+Cw4LHQstCz0LTQteC24LfwuRC6ILtAvGC9kL6wv9DBAMIgw0DEYMVwxpDHkMigyaDKoMuQzIDNYM5AzxDP4NCg0WDSENLA02DUANSQ1TDVwNZQ1uDXgNgQ2LDZYNoA2sDbgNxA3SDd8N7g38DgsOGg4pDjgORg5TDmAOaw52Dn8Ohg6MDpAOkw6TDpIOjw6KDoQOfA5yDmYOWQ5KDjoOKA4UDgAN6g3UDbwNpA2LDXINWQ1BDSkNEgz8DOcM1QzFDLYMqgyhDJkMlAySDJEMkgyVDJgMnQyhDKYMqQysDK4MrwyuDKsMpgygDJkMkAyGDHsMcQxmDFsMUQxJDEEMOww2DDMMMgwxDDMMNQw4DDwMQAxEDEgMTAxQDFMMVQxXDFgMWgxbDF0MXwxiDGYMbAxzDHwMhgyTDKEMsAzBDNMM5Qz4DQoNHA0tDTwNSg1VDV4NZQ1pDWoNaQ1mDWENWg1SDUoNQQ04DTANKA0iDR0NGg0ZDRkNHA0gDSYNLg03DUENTA1YDT4NRQ1MDVQNWw1iDWkNcA13DX4NhA2LDZENmA2eDaQNqw2xDbYNvA3BDcUNyQ3MDc8N0g3TDdQN1Q3WDdYN1g3WDdYN1Q3VDdUN1Q3VDdUN1A3UDdMN0Q3PDcwNyA3DDb0Ntg2tDaMNlw2LDX0NbQ1dDUsNOA0lDRAM+wzmDNAMugykDI4MeAxiDE0MOQwlDBMMAQvwC+EL0gvFC7kLrgukC5sLkguKC4ILegtyC2kLYAtWC0sLPwsyCyQLFQsFCvQK4grPCrwKqQqVCoIKbgpbCkgKNgokChMKAwnzCeQJ1gnJCbwJsAmkCZoJjwmFCXsJcQloCV4JVQlLCUEJNwktCSIJFgkKCP0I8AjiCNQIxQi2CKYIlgiGCHUIZAhUCEMIMgghCBAH/gftB9wHyge4B6YHlAeCB28HXAdKBzcHJQcTBwIG8gbiBtMGxQa4BqwGogaYBo4GhgZ+BnYGbgZmBl4GVQZMBkIGNwYsBiAGEwYFBfcF6QXbBcwFvgWwBaIFlQWIBXsFbwVjBVcFTAVABTQFKAUbBQ4FAQTzBOUE1gTIBLoErASfBJIEhgR7BHEEaQRhBFsEVgRRBE4ESgRHBEUEQQQ9BDkEMwQtBCUEHAQRBAYD+QPrA90DzgO+A68DnwOQA4EDcgNkA1cDSgM+AzIDJgMbAxADBQL6Au8C5ALYAswCwAK0AqcCmgKMAn4CcAJjAlUCRwI5AisCHQIQAgIB9QHoAdsBzgHBAbUBqgGfAZUBiwGCAXsBdAFvAWoBZwFlAWUBZQFmAWgBawFuAXEBdQF4AXoBfAF9AX0BewF5AXUBcAFqAWMBWwFSAUgBPgEzASgBHQERAQYA+wDxAOYA3ADSAMkAvwC2AKwAowCaAJEAiAB/AHYAbgBmAF8AWABTAE8ASwBJAEgASABKAE0AUQBVAFsAYQBnAG4AdAB6AIAAhQCKAI4AkQCUAJYAmACZAJsAnACeAKAAogClAKgArACwALQAuQC9AMIAxwDLAM4A0gDUANcA2ADZANoA2gDaANsA2wDbANwA3QDfAOEA4wDmAOkA7ADwAPMA9gD5APwA/gD/AQABAAEAAP8A/gD8APkA9wDzAPAA7ADnAOIA3ADWAM4AxgC9ALIApwCaAI0AfwBwAGAAUQBBADEAIgAUAAb/+v/u/+T/2//T/8z/x//B/73/uf+2/7L/r/+s/6n/pf+i/5//nP+a/5j/l/+X/5j/mf+c/5//o/+o/63/sv+3/7z/wf/F/8j/yv/M/83/zf/N/8z/zP/L/8r/yv/L/8z/zv/R/9b/2//g/+f/7f/z//r//wAEAAgACwANAA0ADAAJAAYAAf/8//X/7//o/+D/2f/S/8z/xf/A/7v/tv+y/67/qv+o/6X/o/+h/6D/nv+e/57/nv+e/6D/of+j/6b/qP+r/67/sf+0/7f/uf+7/73/vv++/77/vv++/73/vf+9/77/wP/D/8f/zP/T/9z/5v/y//4ADQAcACwAPABNAF0AbQB9AIsAmQClALAAugDCAMkAzgDTANYA2QDbANwA3QDfAOAA4gDlAOgA6wDwAPUA+wEBAQgBEAEXAR8BJgEtATQBOQE9AUABQgFCAUEBPgE5ATMBLAEjARoBDwEEAPgA7QDhANYAywDBALgAsACoAKEAmwCWAJEAjQCIAIQAgAB8AHcAcwBtAGgAYgBcAFYAUABKAEUAPwA7ADcAMwAwAC4ALQAsACwALAAsAC0ALgAvADAAMQAyADMANAA1ADcAOQA8AD8ARABJAFAAVwBfAGkAcgB9AIgAkgCcAKYArwC2ALwAwQDEAMYAxgDEAMEAvQC5ALQArwCrAKcApACjAKQApwCrALIAugDFANEA3gDsAPwBCwEbASsBOwFKAVgBZQFyAX0BhwGQAZgBoAGmAawBsQG1AbkBvAG/AcABwQHCAcEBvwG9AboBtQGwAaoBowGbAZIBiQGAAXYBbAFjAVkBUAFHAT4BNgEvASgBIgEcARgBEwEQAQ0BCwEKAQkBCQEJAQoBDAENAQ8BEgEUARUBFwEXARcBFgEUARABCwEFAP0A9ADrAOAA1ADIALsArwCjAJcAjACCAHgAcABpAGMAXgBaAFcAVABRAE8ATQBLAEgARQBCAD4AOgA2ADEALAAoACMAHwAbABcAFAARAA8ADQALAAkACAAGAAQAAwAA//7//P/5//b/9P/x/+//7P/r/+r/6f/p/+r/6//t/+//8v/0//f/+f/7//3//f/9//3/+//4//X/8f/s/+f/4v/c/9f/0f/M/8f/wv++/7r/t/+z/7D/rf+p/6X/ov+d/5n/lP+P/4n/hP9+/3j/c/9u/2n/Zf9i/1//Xf9b/1v/Wv9b/1v/XP9d/17/Xv9f/17/Xf9c/1n/Vv9S/03/R/9A/zn/Mf8p/yD/F/8O/wb+/f71/u7+5/7h/tz+2P7V/tP+0v7T/tT+1v7Z/t3+4f7l/ur+7/70/vj+/P8A/wP/Bf8H/wj/Cf8J/wn/CP8I/wj/Cf8K/wz/D/8T/xn/IP8o/zL/Pv9K/1n/aP94/4n/m/+t/7//0v/k//cACQAcAC4AQABSAGQAdgCIAJsArgDCANYA6gD/ARQBKQE+AVIBZgF5AYsBmwGqAbYBwQHJAc8B0wHUAdMB0AHLAcQBvAGzAagBnQGSAYYBegFuAWIBVgFKAT4BMwEnARwBEAEEAPgA7ADgANQAyQC+ALQAqgCiAJwAlwCUAJMAlACYAJ0ApQCwALwAygDZAOoA+wENASABMwFFAVcBaQF6AYsBmwGrAbsBywHbAewB/gISAicCPQJWAnECjQKsAs0C8AMTAzgDXQOCA6cDygPrBAoEJQQ9BFEEYQRsBHMEdQRyBGsEXwRQBD0EKAQRA/cD3QPDA6gDjgN1A14DSAM2AyUDGAMNAwYDAgMCAwUDDAMXAyUDNgNMA2UDgQOgA8ID5gQNBDYEXwSKBLUE3wUIBS8FVAV3BZYFsQXJBd0F7AX3Bf0GAAX+BfkF8AXlBdYFxQWyBZ0FhwVuBVUFOgUeBQAE4gTCBKIEgQRfBDwEGQP3A9QDsgORA3EDUwM4Ax8DCQL2AucC2wLUAtAC0ALTAtoC5ALyAwIDFQMqA0EDWQN0A48DqwPJA+cEBQQlBEUEZQSGBKcEyQTrBQ4FMQVUBXgFnAXBBeYGCwYwBlUGewahBsYG7AcRBzYHWwd/B6MHxQfnCAgIKAhGCGQIgAibCLUIzgjlCPwJEgkoCT0JUglmCXsJkAmlCboJ0AnmCfwKEQonCj0KUgpmCnoKjQqfCrEKwQrQCt8K7Qr6CwcLFAshCy0LOgtIC1ULZAtzC4MLlAulC7cLygvcC/AMAwwWDCkMOwxNDF8McAyBDJEMoAyvDL0MywzYDOQM8Az8DQcNEg0dDScNMQ07DUUNTw1ZDWMNbQ14DYINjg2aDacNtA3CDdEN4A3wDgAOEQ4hDjIOQg5SDmAObg56DoUOjQ6UDpkOmw6cDpoOlg6QDogOfg5zDmYOWA5JDjkOKQ4YDgYN9A3iDc8NvA2pDZYNgg1uDVoNRg0yDR8NCwz4DOYM1AzEDLUMpwyaDI8Mhgx/DHkMdQxyDHEMcAxxDHIMdAx2DHcMeAx5DHgMdwx2DHMMbwxrDGYMYQxcDFYMUQxMDEcMRAxADD4MPQw8DDwMPAw9DD8MQQxDDEUMRwxIDEoMTAxODFAMUgxVDFkMXQxiDGkMcQx7DIYMkwyhDLEMwgzUDOcM+g0NDSANMg1CDVENXw1qDXINeA18DX0NfA15DXMNbQ1kDVsNUg1IDT8NNg0uDScNIg0eDRsNGg0bDR0NIA0lDSoNMA03DToNPQ1ADUQNRw1KDU4NUg1WDVsNYQ1oDW8NeA2BDYsNlg2iDa4Nuw3HDdMN3w3qDfUN/g4HDg4OFQ4aDh4OIA4iDiMOIw4hDh8OHQ4ZDhUOEA4LDgQN/Q31De0N4w3ZDc8Nww23DaoNnQ2PDYENcw1kDVUNRg03DScNFw0GDPUM5AzRDL8MrAyYDIQMcAxcDEgMNAwgDA0L+wvqC9kLygu8C68LowuYC40Lgwt6C3ALZgtcC1ELRQs4CyoLGwsLCvoK5wrUCr8KqgqVCn8KaQpTCj0KJwoSCf0J6QnWCcMJsQmhCZEJgQlzCWYJWQlOCUMJOAkuCSUJGwkSCQgI/wj0COkI3gjRCMQItgimCJYIhQh0CGEITwg8CCkIFggEB/IH4AfOB70HrAecB4sHewdrB1sHSgc5BygHFwcFBvQG4gbQBr8GrgadBo4GfwZxBmQGWAZMBkIGOQYwBicGHwYWBg4GBQX8BfIF6AXdBdEFxQW5BawFnwWTBYYFegVuBWIFWAVNBUIFOAUuBSQFGQUOBQIE9gTpBNsEzAS9BK0EnASMBHwEbARdBE8EQwQ4BC8EJwQhBB0EGwQZBBkEGgQbBBsEGwQbBBkEFgQRBAoEAgP4A+wD3wPQA8ADrwOeA40DfANrA1oDSgM7AywDHwMRAwUC+QLtAuEC1QLJAr0CsAKjApYCiAJ6AmwCXQJOAkACMQIjAhUCBwH6Ae0B4AHTAccBugGuAaIBlwGLAX8BdAFpAV4BVAFLAUIBOgEzAS0BKAEjASABHwEeAR0BHgEfASABIgEkASYBJwEoASgBJwElASMBIAEbARYBEAEJAQIA+gDyAOoA4gDaANMAzADFAL8AugC1ALEArQCqAKcAowChAJ0AmgCWAJMAjgCKAIUAgAB6AHUAcABrAGcAYwBfAF0AWwBaAFoAWgBbAF0AXwBhAGMAZABmAGcAaABoAGgAZwBmAGQAYgBgAF4AXQBbAFoAWQBaAFoAXABeAGEAZQBpAG4AcwB5AH8AhQCLAJEAlgCcAKEApgCrAK8AswC3ALkAvAC9AL4AvwC/AL4AvQC8ALoAuAC1ALMAsgCwALAAsACxALIAtAC3ALoAvgDBAMUAxwDIAMkAxwDEAL4AtwCtAKEAkwCDAHIAXwBMADgAJAAR////7v/e/9D/w/+5/6//qP+i/53/mf+V/5L/j/+L/4j/hP+A/3z/eP90/2//a/9o/2X/Yv9g/2D/X/9g/2H/Y/9l/2j/a/9u/3H/dP93/3r/ff+A/4T/iP+M/5H/lv+c/6P/qv+x/7j/wP/H/83/0//Y/9z/3v/g/9//3f/a/9b/0P/J/8L/u/+z/6r/ov+b/5P/jP+F/3//eP9z/23/Z/9i/1z/V/9S/03/Sf9E/0H/P/89/zz/Pf8//0L/Rv9L/1H/V/9e/2X/a/9w/3X/eP96/3v/e/96/3f/dP9x/27/a/9q/2r/bP9x/3j/gv+P/57/sP/F/9z/9AANACcAQQBaAHMAigCfALMAxADTAN8A6QDxAPgA/AEAAQIBAwEFAQYBBwEIAQoBDQEQARUBGgEgASYBLQE1AT0BRQFNAVUBXQFlAWsBcQF2AXoBfQF/AX8BfQF6AXYBcAFoAWABVgFLAT8BMwEmARkBDAEAAPMA6ADdANMAyQDAALkAsQCrAKQAngCZAJMAjQCIAIIAfAB1AG8AaABiAFsAVABOAEgAQgA8ADcAMwAvACsAKAAlACIAIAAeABwAGwAaABkAGQAZABoAHAAfACMAKQAvADcAPwBJAFQAYABsAHgAhACQAJoApACsALMAtwC6ALoAuQC2ALIArACmAJ8AmQCTAI8AjACLAIwAjwCVAJ4AqAC1AMQA1ADlAPcBCgEcAS4BPwFPAV0BawF2AYEBigGSAZkBngGjAagBrAGvAbIBtQG3AbkBugG7AbsBugG4AbUBsQGsAaYBngGXAY4BhQF8AXMBagFhAVgBTwFHAUABOQEyASwBJgEgARsBFgERAQwBBwECAP4A+QD2APMA8ADuAO0A7QDtAO0A7gDuAO8A8ADvAO4A7QDpAOUA3wDYAM8AxQC6AK4AogCVAIkAfQBxAGYAXABTAEsARAA/ADsANwA1ADMAMQAwAC4ALQArACkAJgAkACEAHQAaABYAEwAPAAwACAAFAAL////8//n/9v/y/+//6v/m/+H/3P/X/9H/zP/H/8L/vv+6/7j/tv+2/7b/t/+5/7z/wP/D/8f/y//O/9H/0//U/9T/0//R/87/yv/G/8D/u/+1/6//qf+j/53/mP+T/47/iv+F/4H/ff95/3T/b/9q/2X/X/9Z/1L/TP9F/z//OP8z/y3/Kf8k/yH/Hv8c/xv/Gv8a/xv/G/8c/x3/Hv8f/yD/IP8f/x7/HP8Z/xb/Ev8N/wf/AP75/vH+6f7g/tf+zv7F/rz+tP6s/qb+oP6b/pj+lv6V/pb+l/6a/p7+o/6o/q7+tP66/sD+xf7K/s7+0v7U/tb+1/7Y/tj+2P7Y/tn+2v7c/t7+4v7n/u7+9v8A/wv/GP8n/zb/R/9Z/2z/gP+U/6j/vf/T/+j//QATACkAPgBUAGkAfwCVAKoAwADVAOoA/gESASQBNgFGAVUBYgFtAXYBfQGBAYIBgQF+AXgBcAFmAVoBTQE/ATABIAERAQEA8gDjANUAxwC7AK8ApQCbAJIAigCCAHsAdABuAGgAYwBeAFkAVQBRAE8ATQBMAEwATQBQAFQAWQBgAGkAcwB+AIsAmQCoALgAyQDbAO0BAAETAScBOwFPAWIBdgGKAZ4BsgHGAdoB7QICAhYCKwJAAlUCawKBApkCsALJAuEC+gMTAywDRQNdA3MDiQOdA64DvQPKA9MD2QPdA9wD2QPSA8gDvAOtA5wDigN2A2IDTQM4AyUDEgMAAvEC4wLYAtACygLHAsgCzALUAt8C7QMAAxUDLgNJA2gDiAOrA88D8wQYBD0EYQSDBKMEwQTbBPEFAwUSBRwFIQUjBSEFGgURBQUE9gTlBNIEvgSpBJMEfQRmBE8ENwQfBAcD7gPVA7sDoQOHA20DUwM6AyEDCgL0AuEC0ALBArYCrgKqAqkCrAKzArwCyQLYAukC/QMSAykDQANYA3ADiQOiA7sD1APuBAgEIwQ/BFwEewSaBLwE3wUEBSoFUQV6BaUF0AX8BikGVgaDBq8G3AcHBzIHXAeEB6wH0Qf2CBgIOghZCHcIkwiuCMgI4Aj3CQ0JIgk2CUoJXQlxCYQJmAmsCcAJ1QnrCgAKFwotCkMKWQpvCoQKmAqrCr4KzwrfCu4K+wsICxQLHwsqCzQLPwtKC1ULYQtuC3sLiQuZC6kLugvLC90L7wwCDBQMJgw4DEkMWgxqDHoMiQyYDKYMswzADM0M2gzmDPIM/g0KDRYNIg0uDToNRg1RDV0NaA1zDX4NiQ2VDaANrA24DcQN0Q3eDesN+Q4HDhYOJA4zDkEOTg5bDmcOcQ56DoIOhw6KDosOig6HDoEOeg5wDmQOVw5IDjgOKA4WDgQN8g3fDc0Nuw2pDZYNhQ1zDWENUA0+DS0NGw0JDPcM5QzSDMAMrgycDIsMegxqDFsMTQxADDUMKwwiDBsMFQwRDA4MDAwMDAwMDQwPDBIMFAwYDBsMHgwhDCQMJwwqDC0MLwwyDDQMNgw3DDkMOgw7DDwMPQw+DD4MPww/DEAMQQxCDEMMRQxIDEsMTwxVDFwMZAxtDHgMhQyUDKQMtgzIDN0M8g0HDR0NMg1IDVwNbw2ADY8Nmw2mDa0Nsg20DbMNrw2qDaINmQ2ODYMNdw1rDWANVQ1LDUINOw01DTENLg0tDSwNLQ0vDTENNA03DXUNeA17DX4NgA2CDYQNhw2KDY4Nkw2ZDaENqg21DcIN0A3fDe8OAA4RDiMONA5EDlMOYA5sDnYOfg6FDokOiw6LDokOhg6BDnsOcw5rDmIOWA5NDkIONg4qDh4OEg4FDfkN7A3gDdQNyQ2+DbMNqQ2eDZQNig2ADXUNaQ1dDVANQQ0wDR4NCwz1DN4MxgysDJEMdgxaDD8MJAwKC/EL2QvDC68LnAuLC3sLbQtfC1ILRgs6Cy0LIAsTCwQK9QrkCtMKwAqtCpkKhApvClkKQwotChcKAQnsCdYJwgmtCZoJhgl0CWIJUQlBCTIJJAkXCQsI/wj0COoI4AjXCM0IxAi5CK8IowiWCIgIeAhoCFYIQwgvCBoIBQfwB9oHxQexB50Higd4B2YHVgdHBzgHKQcbBw0G/wbwBuIG0wbDBrQGpAaTBoMGcwZjBlQGRQY4BisGHwYUBgsGAgX6BfIF6wXjBdwF1AXLBcIFuQWuBaMFlwWKBX0FcAVjBVUFSAU7BS4FIQUVBQkE/QTxBOUE2ATLBL4ErwShBJEEgQRwBF8ETQQ8BCwEHAQNA/8D8wPpA+ED2wPWA9MD0gPSA9MD1APVA9YD1wPWA9QD0QPLA8QDuwOwA6QDlgOHA3cDZwNXA0cDNwMnAxgDCgL9AvAC4wLXAssCvwKzAqcCmgKNAn8CcQJiAlMCQwIzAiMCEwIEAfUB5gHYAcsBvgGyAacBnAGRAYcBfAFyAWgBXgFUAUkBPwE1ASsBIQEYAQ8BBgD/APgA8gDtAOgA5QDjAOEA4ADfAN8A4ADgAOEA4gDjAOMA4wDiAOIA4ADeANsA2ADUANAAywDGAMAAuwC2ALEArACoAKQAoQCeAJ0AmwCbAJsAmwCcAJ0AnQCdAJ0AnACaAJcAkwCOAIkAggB7AHIAagBiAFkAUQBJAEEAOgA0AC8AKwAnACQAIQAfAB0AGwAaABgAFgAUABIAEAAOAAwACgAJAAgABwAIAAkACgANABEAFQAbACEAKAAvADcAPgBGAE4AVgBdAGQAaQBuAHMAdgB4AHoAegB5AHgAdQByAG8AawBnAGMAXwBcAFoAWQBZAFoAXQBhAGcAbgB3AIAAigCVAJ8AqQCyALkAvwDCAMMAwQC8ALQAqgCdAI0AfABpAFQAPwArABYAAf/u/9z/zP+8/6//o/+Y/4//hv9//3j/cv9r/2b/YP9b/1X/UP9M/0f/RP9B/z7/PP87/zv/O/88/z3/P/9B/0P/Rf9I/0r/Tf9Q/1P/Vv9a/17/Y/9o/27/dP97/4L/iP+P/5X/mv+e/6L/pP+k/6P/oP+c/5f/kf+K/4L/ev9y/2v/ZP9e/1n/Vf9S/1D/Tv9N/0z/TP9K/0n/Rv9D/0D/O/82/zH/K/8m/yH/Hf8a/xn/Gf8a/x3/If8n/y3/NP87/0L/SP9N/1H/U/9T/1H/Tv9J/0T/Pv85/zX/Mv8x/zP/OP9C/07/X/90/4z/qP/G/+YABwApAEsAawCKAKcAwQDYAOwA/AEJARMBGgEfASIBJAEkASQBJAEkASQBJQEmASgBKwEvATMBNwE8AUEBRgFLAU8BVAFYAVwBYAFjAWYBaQFrAW4BbwFxAXIBcgFyAXEBcAFtAWkBZQFgAVkBUwFLAUMBOwEzASoBIgEaARMBDQEHAQEA/AD4APQA8ADsAOgA5ADgANoA1QDPAMcAwAC3AK4ApACaAJAAhgB8AHIAaABfAFcATgBHAEAAOQAzAC4AKQAlACIAHgAcABoAGQAZABoAHAAfACMAKAAvADcAPwBJAFMAXQBnAHEAegCCAIkAjgCSAJQAlACTAJAAjACHAIIAfgB5AHYAdAB0AHcAewCCAIsAlwClALQAxQDXAOkA+wENAR4BLgE8AUgBUwFcAWQBaQFuAXIBdQF3AXkBfAF+AYABgwGGAYkBjAGPAZEBkgGTAZMBkQGPAYsBhgGBAXsBdAFsAWUBXgFXAVABSgFFAUABOwE3ATIBLgEqASUBIAEbARUBDwEIAQEA+QDyAOwA5QDgANsA1wDVANMA0wDTANQA1QDWANgA2ADYANcA1ADQAMsAxAC8ALIAqACdAJIAhgB7AHEAZwBeAFcAUABLAEcARABBAD8APgA9ADsAOQA3ADQAMQAtACgAIwAdABcAEQAKAAT//v/3//H/6//m/+D/2v/T/83/xv+//7j/sf+p/6L/m/+V/4//iv+F/4P/gf+B/4L/hP+H/4z/kf+W/5z/of+m/6n/rf+u/6//rv+s/6n/pf+g/5r/k/+N/4b/f/95/3L/bP9n/2L/Xf9Y/1P/T/9K/0X/P/85/zP/LP8l/x7/F/8P/wj/Af76/vT+7/7q/ub+4v7f/t3+3P7b/tr+2v7a/tv+2/7c/t3+3f7e/t7+3v7d/t3+2/7Z/tf+0/7P/sv+xv7A/rn+sv6r/qT+nP6W/o/+if6E/oD+ff58/nv+fP59/oD+g/6H/ov+kP6U/pj+nP6f/qH+o/6k/qT+pP6k/qT+pP6k/qX+p/6q/q/+tf69/sb+0f7e/uz++/8M/x7/Mf9F/1n/bv+D/5n/r//F/9z/8gAIAB8ANQBLAGEAdwCMAKEAtQDIANkA6gD4AQUBEAEZAR8BIgEkASIBHgEYAQ8BBAD3AOkA2QDIALcApQCTAIEAcABfAFAAQQA0ACgAHQAUAAwABQAA//z/+f/3//b/9v/3//n//AAAAAUACgAQABcAHwAnAC8AOABBAEoAUwBcAGUAbgB2AH8AiACQAJkAowCtALgAxADSAOAA7wEAARIBJQE5AU0BYgF2AYsBnwGzAcUB1wHoAfgCBwIVAiICMAI9AkoCWAJmAnQChAKUAqUCtgLHAtgC6QL4AwcDEwMdAyUDKgMtAywDKQMjAxsDEAMEAvcC6ALaAssCvQKwAqQCmgKSAo0CigKJAosCkQKZAqQCsgLDAtYC7AMEAx8DOgNXA3UDkwOxA84D6QQDBBoELgQ+BEsEVQRaBFsEWARSBEkEPQQuBB4EDQP6A+gD1QPCA7ADnwOOA30DbQNeA04DPwMvAx8DDwL/Au8C3wLPAsACswKnAp4ClwKTApIClQKbAqUCsgLDAtYC7AMEAx4DOQNVA3IDjgOrA8cD4wP/BBoENQRRBGwEiQSnBMYE5gUIBSsFUQV4BaAFygX1BiEGTgZ6BqcG0wb/ByoHUwd8B6QHygfvCBIINAhUCHQIkgiuCMoI5Aj9CRYJLQlECVoJbwmECZkJrQnBCdUJ6Qn9ChEKJgo6Ck8KYwp3CosKngqwCsIK0wrjCvILAAsNCxkLJQswCzsLRQtQC1sLZgtzC4ALjgucC6wLvAvNC94L8AwCDBQMJQw3DEcMVwxnDHUMgwyRDJ0Mqgy2DMIMzQzZDOUM8Qz+DQsNGA0lDTINQA1NDVoNZw1zDYANiw2WDaENqw22Db8NyA3SDdsN5A3tDfcOAA4KDhQOHg4oDjEOOw5EDkwOVA5aDmAOYw5mDmcOZg5jDl4OWA5PDkUOOg4tDh8ODw3/De0N2w3JDbYNow2PDXsNaA1UDUANLA0YDQQM8AzcDMgMtAyfDIsMdwxjDE8MPAwpDBcMBgv1C+UL1wvKC74LtAurC6QLnwubC5kLmQuaC50LoQunC64Ltgu+C8gL0QvbC+UL7gv3DAAMBwwODBQMGQwdDCEMIwwlDCYMKAwpDCoMKwwtDC8MMww4DD4MRQxODFkMZgx0DIUMlwyrDMEM2QzxDQsNJg1BDVsNdg2QDagNvg3TDeQN8w3/DggODQ4ODgwOBw3/DfUN6A3aDcsNvA2tDZ4NkA2EDXkNcA1qDWUNYg1hDWINZA1mDWoNbQ1xDdAN2A3fDeUN6g3uDfEN9A33DfoN/g4DDgkOEQ4aDiUOMg5BDlAOYQ5zDoQOlg6mDrYOxA7QDtoO4g7nDuoO6g7pDuUO3w7YDs8OxQ65Dq0OoA6SDoQOdQ5nDlgOSQ47Di0OHw4SDgYN+w3xDegN4A3ZDdINyw3FDb4Ntg2tDaINlQ2GDXQNYA1JDS8NEgzzDNMMsQyODGoMSAwlDAUL5QvIC60Lkwt8C2cLUwtBCzALIAsQCwAK8ArfCs4KvAqqCpcKgwpvCloKRgoxCh0KCQn1CeIJzwm8CaoJmAmGCXQJYglQCT8JLgkdCQ0I/QjuCOAI0gjFCLkIrQiiCJcIjAiBCHUIaAhaCEsIOwgpCBcIAwfuB9gHwgesB5YHgAdrB1gHRQczByMHFAcGBvkG7QbgBtQGyAa7Bq4GoAaSBoMGcwZjBlIGQgYyBiMGFAYHBfsF7wXlBd0F1QXOBccFwQW7BbUFrwWnBZ8FlgWMBYAFdAVmBVgFSAU5BSkFGQUIBPgE6ATYBMgEuQSqBJsEiwR8BG0EXQRNBD0ELQQcBAwD/APsA90DzwPBA7YDqwOiA5oDlAOPA4wDiQOHA4YDhAODA4ADfQN5A3MDbANkA1oDTwNDAzUDJwMZAwsC/ALvAuEC1ALIAr0CsgKoAp0CkwKJAn4CcwJnAloCTAI9Ai0CHQINAfwB6wHaAcoBugGrAZ4BkQGFAXsBcQFoAWABWAFRAUkBQQE5ATEBKAEfARUBDAECAPgA7gDlANwA1ADNAMYAwAC7ALcAswCwAK4ArACqAKkAqACnAKYApQCkAKQAowCiAKEAoACeAJ0AmgCYAJUAkgCOAIoAhQCBAHwAdwByAG4AaQBmAGMAYQBgAGAAYABhAGMAZQBmAGgAaQBqAGkAZwBkAF8AWQBSAEkAPwA1ACkAHQARAAb/+v/w/+b/3f/W/8//yv/F/8L/wP++/7z/vP+7/7v/u/+6/7r/u/+7/7v/vP+9/7//wf/D/8f/yv/O/9P/2P/d/+L/5//s//H/9f/4//z//gAAAAEAAgACAAIAAQAA/////v/9//z//P/8//z//f//AAIABgAKABAAFwAfACgAMgA9AEgAVABfAGsAdwCBAIsAkwCaAJ8AogCiAKAAnACVAIwAgQB0AGYAVgBFADIAHwAM//n/5f/S/7//rf+b/4n/eP9o/1n/Sv89/zH/Jv8c/xT/Dv8J/wX/A/8D/wT/B/8K/w7/E/8Y/x3/I/8n/yv/L/8y/zX/N/85/zr/PP8+/0D/Qv9F/0j/TP9Q/1T/V/9b/13/X/9g/2D/Xv9a/1b/UP9J/0L/Ov8y/yv/JP8e/xv/GP8Y/xn/G/8f/yX/K/8x/zf/Pf9C/0b/SP9J/0n/SP9F/0H/Pf85/zX/Mv8v/y7/Lv8w/zP/OP89/0P/Sf9P/1X/Wf9b/1z/XP9Z/1T/T/9I/0H/O/81/zL/Mf8z/zn/RP9S/2b/ff+Z/7j/2v/+ACMASABtAJAAsQDPAOkA/wESASABKwEzATcBOQE5ATcBNQEzATABLwEuAS4BLwExATMBNgE5ATwBPgFAAUEBQgFCAUABPgE8ATkBNgEzATABLgEsASsBKwErASwBLgExATMBNgE5ATsBPgFAAUEBQwFDAUQBRAFDAUMBQwFDAUMBQwFEAUQBRQFGAUYBRwFGAUUBQwFAATwBNgEvASYBHAERAQUA+ADqANwAzgDAALMApgCaAI4AhAB7AHIAawBkAF4AWABTAE0ASABDAD0AOAAyAC0AKAAjAB8AGwAZABgAGAAZABwAIAAlACsAMgA5AEAARwBNAFMAWABcAF4AYABhAGEAYQBhAGIAYwBlAGgAbgB1AH4AiQCVAKMAsgDCANIA4wDyAQEBDgEaASQBLQE0ATkBPQFAAUEBQwFEAUYBSAFKAU4BUgFWAVwBYQFnAWwBcAF0AXcBeQF5AXcBdQFxAWwBZgFgAVkBUwFMAUYBQQE8ATgBNAExAS8BLAEpASYBIgEeARkBEwEMAQUA/gD2AO8A6ADiANwA2ADVANQA0wDUANYA2QDcAOAA4wDmAOgA6ADoAOYA4wDeANkA0gDKAMIAugCyAKoAowCdAJcAkgCOAIoAhwCEAIEAfQB5AHQAbgBnAF4AVQBKAD4AMQAkABcACf/8//D/5P/Y/87/xP+7/7L/qv+j/5z/lP+N/4b/f/94/3H/av9k/17/Wv9W/1T/U/9T/1X/WP9c/2H/Z/9s/3L/eP98/4D/gv+D/4L/gP98/3f/cf9q/2L/Wv9S/0n/Qv86/zT/Lv8o/yP/H/8b/xf/Ev8O/wr/Bf7//vr+8/7t/ub+3/7Y/tH+yv7E/r7+uf60/rH+rf6q/qj+pv6l/qT+o/6i/qH+of6h/qH+of6h/qH+ov6i/qP+o/6j/qP+o/6i/qH+n/6c/pn+lf6S/o3+if6E/oD+fP55/nf+df50/nX+df53/nn+fP5//oH+hP6G/oj+if6J/on+h/6G/oT+gv6A/n/+fv5//oH+hP6J/pD+mf6k/rD+vv7N/t7+7/8C/xX/KP87/0//Y/92/4r/nf+x/8T/2P/r//4AEQAkADcASQBbAGsAewCIAJUAnwCnAK0AsQCyALEArQCnAJ8AlQCJAHsAbQBdAE0APQAtAB0ADv////H/5P/Z/87/xf+9/7X/r/+q/6f/pP+i/6L/ov+k/6j/rP+y/7n/wv/M/9j/5f/yAAEAEAAfAC4APQBLAFcAYwBsAHQAegB+AIAAggCCAIEAgACAAIAAgQCEAIkAjwCYAKMAsAC+AM8A4ADxAQMBFAElATQBQwFQAVsBZgFvAXgBgQGKAZQBnwGsAboBywHdAfECBwIfAjYCTgJlAnsCjwKgAq4CuQLAAsMCwwK+ArcCrAKgApICgwJ0AmUCWAJMAkECOgI1AjICMwI3Aj4CRwJTAmMCdAKIAp4CtgLQAusDBwMkA0IDXwN8A5gDswPLA+ED9AQDBA8EFwQaBBoEFgQOBAID9APjA9EDvQOoA5MDfgNqA1YDRAMyAyIDEgMEAvYC6QLcAtACxAK5Aq4CpAKbApMCjQKKAokCiwKQApkCpgK2AsoC4gL8AxoDOgNbA38DowPHA+wEEAQ0BFgEegScBL4E3wT/BSAFQgVkBYYFqQXOBfMGGQZABmcGjwa2Bt4HBQcrB1EHdQeYB7oH3Af8CBsIOQhWCHMIjwirCMYI4Qj8CRYJMAlKCWMJewmTCaoJwQnWCesJ/woSCiUKNwpIClkKagp6CooKmQqoCrcKxQrSCt8K6wr3CwMLDgsZCyQLLgs5C0ULUAtdC2oLeAuHC5cLpwu4C8oL3AvvDAEMEwwlDDYMRwxXDGYMdAyCDI8MmwynDLMMvgzKDNUM4gzuDPsNCA0VDSMNMA0+DUwNWQ1mDXINfg2KDZQNng2nDbANuA2/DcYNzQ3UDdoN4Q3nDe4N9Q38DgMOCg4SDhkOIA4nDi4ONA46Dj8OQw5HDkkOSg5KDkkORg5CDj0ONQ4sDiIOFg4IDfkN6Q3XDcMNrw2ZDYMNbA1UDTwNIw0KDPEM2Ay/DKcMjwx3DGAMSQwzDB0MBwvzC98Lywu5C6cLlguGC3gLawtfC1ULTAtGC0ELPws/C0ELRQtLC1QLXQtpC3ULgguQC50Lqwu4C8QLzwvZC+EL6AvuC/ML9wv6C/wL/gwADAIMBQwIDAwMEgwZDCIMLAw4DEYMVQxmDHkMjgylDL0M1wzzDQ8NLQ1MDWsNig2pDcYN4w39DhYOKw48DkoOVA5aDlsOWQ5SDkgOOw4rDhoOCA31DeMN0g3CDbUNqw2jDZ8NnQ2eDaINpw2uDbYNvw3IDiYONA5BDk0OWA5gDmcObA5wDnMOdg55DnwOgQ6GDowOlA6eDqgOsw7ADswO2Q7lDvEO+w8FDwwPEg8XDxkPGQ8YDxQPEA8JDwEO+A7tDuEO0w7FDrUOow6RDn4Oaw5XDkMOLw4dDgsN+g3rDd4N0w3JDcINvA23DbINrg2pDaMNmw2RDYQNcw1gDUkNLg0RDPEMzgyqDIYMYQw8DBkL9wvXC7gLnAuCC2oLUws9CykLFQsBCu0K2ArDCq0KlwqACmkKUgo7CiUKDwn6CeYJ1AnCCbEJoQmSCYIJcwlkCVQJRAk0CSIJEAj+COsI2QjGCLQIowiSCIIIcghkCFYISAg6CC0IHwgQCAEH8QfgB84HuwenB5QHfwdrB1gHRQcyByEHEgcDBvUG6QbdBtIGxwa8BrEGpAaYBooGewZrBloGSAY2BiQGEgYABe8F4AXRBcQFuQWvBaYFngWYBZIFjQWIBYMFfQV2BW4FZQVaBU8FQQUzBSMFEwUCBPAE3gTLBLkEpwSVBIMEcgRgBFAEQAQvBCAEEAQAA/ED4gPTA8UDtgOpA5sDjwODA3gDbgNlA10DVgNPA0kDQwM+AzgDMwMtAyYDHwMWAw0DAwL4Au0C4QLUAsgCuwKvAqMCmAKOAoQCewJzAmsCYwJbAlMCSgJAAjUCKQIbAg0B/QHsAdoBxwG1AaIBkAF/AW8BYQFUAUgBPgE2AS8BKQEjAR8BGgEVAQ8BCQECAPoA8QDoAN0A0wDJAL4AtACrAKIAmwCUAI4AiQCFAIIAfwB9AHsAeAB2AHQAcQBuAGsAaABkAGEAXgBaAFcAVABSAE8ATQBKAEcARABAAD0AOAAzAC4AKAAiABwAFgARAAwACAAEAAIAAAAAAAAAAQADAAUABgAIAAkACQAHAAUAAf/8//b/7v/l/9v/0f/H/7z/sv+o/5//l/+Q/4v/hv+C/4D/fv9+/33/ff9+/37/fv9//3//fv9+/33/fP97/3r/ef94/3f/dv91/3T/dP9z/3L/cf9v/23/a/9p/2f/Zf9i/2H/X/9f/1//YP9j/2f/bP9z/3r/hP+O/5n/pf+y/7//zP/Z/+X/8f/8AAcAEAAZACIAKQAwADYAPABCAEcATABRAFUAWQBcAF8AYQBiAGIAYQBeAFoAVABLAEEANQAnABYABP/w/9v/xP+s/5P/ev9i/0r/M/8d/wr++P7p/t7+1f7O/sv+y/7N/tH+1/7f/uf+8P75/wH/CP8O/xP/F/8Z/xv/G/8a/xn/F/8W/xX/Ff8V/xX/F/8Z/xv/Hf8g/yL/I/8j/yP/If8e/xr/Fv8R/wv/Bf8A/vz++f73/vb++P77/v//Bf8M/xT/HP8l/y3/NP87/0H/Rf9I/0r/S/9L/0v/S/9L/0v/Tf9P/1P/WP9d/2T/bP90/3z/hP+L/5D/lP+X/5j/lv+U/4//i/+F/4D/fP96/3r/ff+D/47/nP+v/8X/3//8ABsAPABeAH8AoAC+ANoA8gEHARkBJgEvATUBNwE3ATUBMgEuASkBJQEiASABIAEgASIBJQEoASwBLwEzATUBNwE3ATYBMwEvASoBJAEdARYBDwEIAQIA/QD4APUA8wDyAPIA9AD2APkA/QEBAQUBCQEOARIBFwEcASEBJgEsATEBNwE9AUQBSgFRAVcBXQFjAWgBawFtAW4BbgFrAWcBYAFYAU4BQgE2ASgBGQEKAPsA7QDfANIAxgC8ALQArQCnAKMAoACdAJsAmQCXAJUAkQCMAIYAfgB1AGsAXwBSAEUAOQAsACEAFgAOAAcAAwABAAIABQAJABAAGAAhACsANAA+AEYATgBVAFsAXwBjAGYAaABrAG4AcQB2AHsAggCLAJUAoACsALkAxgDUAOEA7QD4AQMBCwETARkBHgEhASQBJgEpASsBLgEyATYBOwFAAUcBTgFUAVsBYQFnAWsBbgFvAW8BbQFqAWUBXwFYAVEBSgFCATsBNQEvASoBJQEhAR4BHAEZARcBFAERAQ4BCgEGAQIA/QD5APQA8QDuAOwA6wDrAO0A8AD0APkA/wEFAQsBEQEXARwBIAEjASQBJAEjASEBHgEaARUBEAELAQYBAgD9APkA9ADwAOsA5gDfANgAzwDEALgAqQCZAIcAcwBeAEcAMQAaAAT/7//b/8n/uP+q/53/kv+K/4L/fP92/3H/bP9o/2P/Xf9Y/1H/S/9F/z//Of80/zH/Lv8t/y3/Lv8x/zX/Of8+/0L/R/9K/0z/Tf9M/0r/Rv9A/zj/MP8m/xz/Ev8I/v/+9v7u/uf+4f7c/tj+1f7S/s/+zf7L/sj+xf7B/r3+uP6z/q7+qf6j/p7+mf6U/pD+jf6K/of+hf6D/oH+gP5//n3+e/56/nj+dv50/nL+cP5u/mz+a/5q/mn+af5p/mn+af5p/mn+af5o/mf+Z/5l/mT+Y/5i/mL+Yf5i/mL+ZP5m/mn+bf5w/nT+eP58/n/+gf6D/oP+g/6B/n/+fP55/nX+cv5v/m3+bf5u/nH+dv59/ob+kv6e/q3+vf7N/t/+8P8C/xP/JP80/0T/VP9j/3H/f/+N/5v/qP+2/8T/0v/g/+3/+wAHABMAHQAmAC0AMgA2ADcANgAyAC0AJgAdABMACP/8//D/5P/X/8z/wP+2/6z/o/+c/5X/j/+K/4b/gv9//33/ev95/3j/d/93/3j/ef98/4D/hf+M/5T/n/+q/7j/xv/W/+f/+AAJABoAKwA5AEYAUQBaAF8AYwBjAGEAXgBYAFEASgBCADsANQAxAC8ALwAyADcAPgBHAFIAXwBrAHkAhQCRAJ0ApwCwALgAwADHAM8A2ADiAO8A/gEQASUBPgFZAXcBlwG5AdsB/AIcAjkCUwJoAngChAKJAokChAJ6AmwCWwJIAjMCHgIKAfgB6AHbAdIBzQHLAc4B1AHfAe0B/QIRAicCQAJaAnYClAKzAtMC9QMXAzkDXAN+A6ADwQPgA/0EFwQuBEAETwRZBF4EXgRZBFAEQwQyBB4EBwPuA9QDuQOeA4MDaQNQAzgDIgMNAvsC6gLbAs0CwgK5ArICrQKrAqwCrwK2AsACzgLfAvUDDgMqA0oDbAORA7kD4QQLBDYEYASLBLQE3QUFBSwFUgV3BZsFvwXiBgUGKAZLBm4Gkga1BtkG/QchB0QHZweJB6oHygfoCAUIIQg8CFUIbgiGCJ4ItQjNCOQI/AkVCS0JRglfCXgJkQmqCcIJ2QnvCgQKGAorCjwKTApbCmkKdgqCCo0KmAqjCq0KuArCCswK1grgCuoK9Qr/CwkLEwseCykLNAs/C0sLWAtlC3MLgQuRC6ELsQvCC9ML5Av0DAUMFQwlDDUMRAxSDGAMbQx6DIcMlAyhDK4MvAzJDNcM5gz0DQMNEQ0gDS4NOw1IDVQNXw1qDXMNfA2EDYsNkg2ZDZ8NpQ2sDbMNug3CDcoN0g3bDeQN7Q33DgAOCQ4SDhsOIw4rDjMOOQ4/DkUOSg5ODlEOUw5VDlUOVA5SDk8OSg5DDjsOMA4kDhYOBQ3zDd8NyQ2xDZgNfg1iDUYNKg0MDO8M0gy2DJoMfgxjDEkMMAwXDAAL6QvTC70LqAuUC4ELbgtdC0wLPQswCyMLGgsSCwwLCQsJCwsLEQsYCyILLgs7C0oLWgtqC3kLiAuXC6QLsAu6C8ILyQvPC9ML1gvZC9wL3gvhC+UL6gvwC/cL/wwJDBQMIAwtDDwMSwxbDGwMfgyRDKUMuwzTDOwNBw0jDUINYQ2CDaQNxg3nDgcOJQ5BDlgObA58DoYOjA6MDocOfg5wDmAOTQ45DiQOEA3+De0N4A3XDdENzw3RDdcN3w3rDfgOBw4WDmYOeg6NDp8Orw69DskO0w7bDuIO5g7qDu0O7w7xDvQO9g75Dv0PAQ8FDwkPDQ8RDxQPGA8aDxwPHg8fDx8PHw8eDxwPGg8XDxIPDA8EDvsO7w7hDtAOvQ6nDo4Ocw5XDjkOGg38Dd4Nwg2pDZINfg1uDWINWQ1TDU8NTg1NDU0NTA1KDUUNPg0zDSQNEQz7DOEMxQymDIYMZAxDDCIMAgvjC8cLrAuSC3sLZAtOCzgLIgsMCvUK3QrECqoKjwp0ClgKPQoiCggJ7wnYCcMJsAmeCY4JfwlwCWIJVAlGCTYJJgkUCQEI7QjYCMIIrAiVCH8IaQhUCEAILAgbCAoH+gfrB9wHzge/B7EHogeTB4MHcwdjB1IHQQcxByEHEgcDBvYG6QbeBtMGyAa+BrQGqgafBpMGhQZ3BmcGVgZDBjAGHAYHBfIF3gXKBbgFpwWXBYoFfQVzBWkFYgVbBVQFTgVIBUIFOwUzBSoFIAUUBQgE+gTrBNsEygS4BKcElQSCBHAEXgRNBDsEKgQaBAoD+gPqA9sDzAO9A64DoAORA4MDdgNpA1wDTwNDAzgDLQMiAxgDDgMFAvwC9ALsAuMC2wLSAsoCwQK4Aq4CpAKaApAChgJ8AnICaQJhAlgCUQJKAkQCPgI4AjICLAIlAh0CFQIKAf8B8QHiAdIBwAGtAZkBhAFwAVwBSgE4ASgBGgEOAQQA+wD1AO8A6wDnAOMA3wDaANUAzgDGAL0AswCoAJwAkACFAHkAbgBlAFwAVQBPAEsARwBFAEMAQgBBAEAAPgA8ADkANgAyAC4AKQAjAB4AGAATAA4ACgAGAAL////8//n/9v/z/+//6//n/+H/3P/W/9D/yf/D/7z/t/+x/63/qf+m/6T/ov+i/6H/of+h/6H/oP+f/53/m/+X/5P/j/+K/4T/f/95/3T/b/9q/2b/Y/9g/17/Xf9c/1z/XP9c/1z/XP9b/1r/WP9W/1P/T/9L/0b/Qf87/zX/L/8o/yL/G/8V/w//CP8B/vv+9P7t/ub+3/7Y/tH+y/7G/sL+wP6//sD+xP7K/tP+3v7t/v3/EP8l/zz/U/9q/4L/mP+u/8H/0v/h/+3/9v/9AAEABAAEAAQAAgAA/////v/+//8AAgAGAAsAEQAYAB8AJwAtADMANwA5ADgANQAuACUAFwAH//T/3//H/63/k/94/17/RP8s/xb/A/7z/ub+3f7X/tT+1P7X/tz+4v7q/vL++f8A/wb/C/8N/w7/Df8K/wf/Af78/vb+8f7s/uj+5f7j/uP+5f7n/uv+7/70/vj+/f8B/wT/B/8J/wr/Cv8K/wn/CP8H/wb/Bv8G/wf/CP8L/w3/Ef8U/xj/HP8f/yL/Jf8o/yr/Lf8v/zL/Nf85/z7/RP9L/1P/Xf9p/3X/gv+Q/5//rf+7/8j/1P/e/+f/7v/z//f/+f/6//r/+v/5//n/+//9AAIACQATAB8ALQA+AFIAZgB9AJMAqgC/ANQA5wD3AQQBDwEWARoBHAEbARkBFAEPAQoBBQEAAP0A+wD7APwA/gECAQcBDAESARgBHQEhASUBJwEnAScBJQEiAR4BGgEWAREBDQEJAQUBAgEAAP4A/AD7APoA+QD4APgA9wD2APUA9AD0APQA9QD2APkA/QECAQkBEAEYASEBKwE1AT4BRwFQAVcBXAFgAWIBYgFfAVsBVAFMAUIBNwErAR4BEQEEAPgA7QDiANoA0wDOAMsAygDKAMwA0ADUANgA3QDhAOQA5QDlAOIA3QDWAMwAwACyAKIAkQCAAG8AXwBRAEQAOQAyAC4ALAAuADIAOQBCAEwAVwBiAGwAdgB+AIUAigCNAI4AjgCNAIsAiQCIAIcAhwCJAIwAkgCZAKIArAC4AMQA0ADdAOkA9AD+AQcBDwEVARoBHgEhASQBJwEqASwBMAEzATcBPAFAAUUBSgFOAVEBVAFVAVYBVQFSAU8BSgFFAT4BOAExASoBJAEeARkBFAEQAQwBCQEHAQUBAwEBAQAA/gD9APwA/AD8APwA/gEAAQMBCAENARQBGwEjASwBNQE+AUcBTwFXAV0BYwFnAWkBawFrAWkBZwFkAWABXAFXAVIBTQFIAUIBOwE0ASsBIQEVAQgA+ADmANEAuwCiAIgAbABPADIAFv/7/+H/yf+0/6L/kv+G/33/dv9y/3D/bv9u/23/bP9q/2f/Yv9c/1T/S/9B/zb/K/8h/xj/EP8K/wb/A/8C/wP/Bv8J/w3/Ef8U/xf/GP8X/xX/Ef8K/wL++f7v/uT+2f7N/sP+uf6w/qj+ov6d/pn+lv6T/pH+kP6O/oz+iv6I/oX+gf5+/nr+dv5y/m/+a/5p/mb+ZP5j/mL+Yf5g/l/+Xf5c/lr+V/5U/lD+TP5H/kP+Pv46/jb+Mv4u/iz+Kv4o/ij+J/4n/ij+Kf4q/iv+LP4u/jD+Mv41/jj+O/5A/kT+Sv5Q/lb+XP5j/mn+b/50/nn+fP5+/n7+fv58/nr+dv5z/m/+bP5q/mn+av5s/nH+d/6A/ov+l/6l/rP+w/7T/uL+8v8A/w7/Gv8l/zD/Of9C/0v/U/9b/2P/bP91/37/iP+S/5z/pf+v/7f/vv/E/8j/y//L/8r/x//C/7z/tf+t/6T/m/+R/4j/gP94/3H/a/9m/2H/Xf9a/1j/Vv9U/1P/Uf9Q/0//Tv9N/0z/TP9M/0z/Tf9P/1P/V/9d/2T/bP92/4L/jv+b/6n/tv/E/9L/3v/q//P/+wAAAAQABQADAAD/+//1/+3/5v/f/9n/1P/Q/8//0P/T/9j/3//o//L//QAIABMAHQAmAC4ANQA6AD8ARABJAE4AVQBfAGwAfACPAKcAwwDiAQQBKQFOAXMBmAG5AdgB8QIGAhQCHAIdAhkCDwIAAe4B2QHCAawBlwGEAXUBagFjAWEBZAFsAXkBigGfAbYB0QHtAgsCKwJLAmwCjgKxAtUC+QMeA0QDawOSA7gD3gQEBCcESQRnBIEElwSoBLQEuwS7BLYErASdBIkEcQRWBDkEGQP5A9kDugObA38DZANNAzgDJgMYAw4DBwMFAwYDCwMUAyEDMgNHA2ADfQOcA78D5QQNBDcEYgSOBLsE6AUUBT8FaQWSBbkF3wYEBiYGSAZpBokGqAbIBucHBwcnB0cHZweIB6kHyQfpCAkIKAhFCGIIfQiWCK8IxgjcCPEJBQkZCSwJQAlUCWgJfQmSCagJvgnUCeoJ/woUCicKOgpLClsKagp3CoIKjQqWCp8KpwqvCrYKvgrGCs8K1wrhCusK9QsACwsLFgsiCy0LOAtEC08LWwtmC3ILfQuJC5ULoQuuC7sLyAvUC+EL7gv7DAgMFAwhDC0MOgxGDFIMXwxsDHoMiAyWDKYMtQzFDNUM5gz2DQYNFQ0jDTANPA1GDU8NVw1eDWQNaQ1uDXINdw18DYINiQ2SDZsNpg2xDb4NzA3bDeoN+Q4IDhYOJQ4yDj4OSg5UDl4OZg5tDnMOdw57Dn4OgA6BDoAOfw58DncOcQ5qDmAOVA5HDjcOJQ4SDfwN5Q3LDbENlQ14DVsNPQ0fDQAM4gzEDKcMigxuDFIMNwwdDAML6gvSC7oLoguMC3ULYAtMCzkLKAsZCwwLAQr5CvQK8wr0CvkLAQsLCxgLJws4C0oLXAttC38LjwudC6kLtAu8C8ILxwvKC80LzwvRC9QL2AveC+UL7gv5DAUMEwwiDDIMQgxSDGIMcQx/DIwMmQymDLIMvwzODN4M8A0FDR4NOQ1XDXkNnQ3CDegODw40DlcOdg6RDqcOtw7BDsUOwg66Dq0OnA6IDnIOWw5FDjEOIA4SDgkOBA4EDggOEQ4dDiwOPg5SDpUOqQ6+DtIO5g74DwkPFw8lDzAPOg9CD0kPTw9TD1YPWA9YD1gPVw9UD1EPTA9HD0EPOw81Dy8PKQ8kDyAPHA8aDxgPFw8WDxUPFA8QDwsPAw73DugO1A68DqAOfw5bDjQODA3iDbkNkA1rDUgNKg0RDPwM7QzjDN0M3AzcDN8M4wzlDOcM5gzhDNoMzgy+DKsMlAx7DGAMRAwoDAwL8QvXC78LqAuTC4ALbQtaC0cLMwseCwgK8ArVCrkKnAp+Cl8KQAohCgMJ5wnNCbUJnwmKCXgJZwlXCUcJNwknCRYJBAjwCNsIxQitCJUIfAhiCEoIMggbCAUH8QfeB8wHvAeuB58HkgeFB3gHagddB08HQQczByQHFgcIBvoG7QbgBtQGyQa+BrQGqgagBpUGigZ9Bm8GYAZQBj4GKwYWBgEF7AXXBcEFrQWZBYcFdgVnBVkFTQVCBTgFLwUnBR8FFwUOBQUE+wTwBOQE2ATKBLsErASdBIwEfARrBFsESgQ6BCkEGQQKA/oD6gPbA8wDvQOtA54DjwOAA3EDYwNUA0UDNwMpAxsDDgMAAvQC5wLcAtACxQK7ArACpwKeApUCjAKDAnsCcwJrAmMCWwJTAksCQwI7AjMCLAIlAh4CGAISAgwCBwIBAfwB9gHvAegB3wHWAcoBvQGvAZ8BjQF7AWgBVAFAAS0BGgEJAPkA6wDeANQAywDDALwAtwCyAKwApwCgAJkAkACHAHwAcABjAFYASQA8ADAAJQAaABIACwAFAAH//v/8//v/+v/6//n/+P/3//T/8v/u/+r/5f/g/9v/1v/S/83/yf/F/8L/v/+8/7n/tv+z/7D/rP+o/6P/nv+Y/5L/jP+F/3//ef9z/23/aP9i/17/Wf9V/1H/Tf9J/0X/Qv8+/zr/Nv8y/y7/K/8o/yb/JP8j/yL/Iv8i/yP/JP8m/yj/Kf8r/yz/Lf8t/yz/K/8p/yb/Iv8d/xf/Ef8K/wP++/7z/ur+4v7Z/tH+yf7A/rj+sP6o/p/+l/6O/oX+ff50/mz+ZP5d/lf+Uv5Q/lD+U/5Y/mH+bf59/o/+pf69/tj+9P8Q/y3/Sf9j/3v/kf+j/7L/vf/F/8r/y//L/8j/xP/A/7z/uf+3/7b/uP+8/8L/yv/T/93/6P/z//0ABgANABEAEwASAA0ABv/7/+3/3f/L/7f/ov+N/3n/Zf9T/0P/Nf8q/yL/HP8a/xn/Gv8d/yH/Jf8p/yz/Lv8u/y3/Kf8k/xz/E/8I/v3+8f7l/tv+0f7J/sP+v/6+/r/+wf7G/s3+1P7d/ub+7/74/wD/CP8O/xT/Gv8e/yL/Jf8o/yr/K/8s/y3/Lf8t/yz/Kv8o/yX/I/8f/xz/Gv8Y/xf/GP8b/yD/J/8w/zz/Sv9a/2z/gP+U/6r/v//U/+n//AAOAB8ALgA6AEYATwBYAF8AZQBrAHEAdgB8AIIAigCSAJoAowCuALgAwwDOANgA4wDsAPQA+wEAAQQBBgEFAQMBAAD7APUA7gDnAOAA2QDUANAAzQDMAM0AzwDTANgA3gDlAOwA8wD5AP8BBAEIAQwBDgEPAREBEgETARQBFgEYARwBHwEjASgBLAEwATQBNgE2ATUBMwEvASkBIQEZARABBwD+APYA8ADrAOkA6ADqAO4A9AD8AQYBEAEbASYBMAE5AUEBRwFLAU4BTgFMAUkBQwE9ATUBLAEjARoBEQEIAQAA+QD0AO8A7ADrAOsA7QDwAPQA+gEBAQgBEAEXAR4BJAEpASwBLQErASgBIQEZAQ8BAwD1AOcA2QDLAL0AsgCoAKEAnACaAJoAnQChAKcArgC1ALwAwgDHAMoAywDKAMcAwQC7ALIAqgCiAJoAkwCOAIwAjACOAJQAnACmALIAwADOAN0A6wD5AQUBEAEZASABJQEoASkBKgEpAScBJQEjASEBIAEfAR4BHgEeAR8BIAEgASEBIQEhASEBIAEeARwBGQEWARMBEAEMAQkBBgEDAQAA/QD7APkA+AD3APcA9wD4APsA/gECAQcBDQEUARwBJQEvATkBRAFPAVoBZAFuAXcBfwGFAYoBjgGQAZEBkAGNAYoBhQGAAXkBcgFqAWIBWgFRAUcBPAExASQBFgEGAPQA4ADLALMAmgB/AGQASAAsABD/9v/e/8j/tf+m/5n/kf+L/4n/if+L/47/kv+V/5f/l/+U/4//iP99/3D/YP9P/z3/K/8Z/wj++v7t/uT+3f7a/tn+2v7e/uL+6P7t/vL+9v74/vj+9f7x/ur+4v7Y/sz+wf60/qj+nf6S/on+gf56/nT+b/5q/mf+ZP5h/l7+Wv5X/lT+UP5M/kn+Rf5C/j/+PP46/jj+N/42/jX+NP4z/jL+MP4u/iv+J/4i/h3+F/4R/gv+Bf3//fr99f3x/e797P3q/er96/3s/e/98f31/fn9/f4B/gb+C/4R/hf+Hf4k/iv+M/47/kT+TP5U/lz+Y/5q/nD+dP53/nr+ev56/nn+eP52/nX+dP50/nX+eP58/oL+iv6T/p3+qf61/sL+zv7a/uX+8P74/wD/Bv8L/xD/E/8W/xn/Hf8h/yb/LP8y/zr/Qv9L/1T/Xf9l/23/c/94/3z/ff99/3z/eP90/27/aP9h/1v/VP9N/0f/Qf88/zj/NP8w/y3/Kv8m/yP/IP8c/xj/FP8Q/wz/Cf8G/wP/Af8A/wD/Af8D/wb/C/8Q/xb/Hf8l/y3/Nv8+/0f/UP9Y/1//Zv9r/2//cv90/3T/c/9x/23/av9l/2H/Xf9a/1n/Wf9a/17/ZP9t/3f/g/+Q/5//rf+8/8n/1v/h/+r/8f/2//r//P/+AAAAAwAHAA0AFgAiADIARQBbAHQAjwCrAMgA4wD9ARQBJwE1AT8BRAFEAUABOAEtASABEgEFAPkA8QDsAOsA7wD4AQYBGQExAUwBagGKAawBzwHzAhYCOQJbAn0CnwLAAuIDBAMmA0kDbQOSA7cD3AQABCMERQRkBH8ElwSqBLgEwQTEBMIEugSuBJwEhwRuBFMENwQZA/wD4APFA6wDlwOFA3cDbQNoA2cDawN0A4EDlAOrA8YD5QQIBC4EVwSCBK8E3QUMBTsFagWYBcQF7wYYBj8GZAaGBqcGxQbiBv4HGAcyB0wHZQd/B5oHtQfRB+0ICwgpCEcIZQiDCKEIvgjaCPQJDgkmCT0JUwlnCXsJjQmfCbEJwwnUCeYJ+AoJChwKLQo/ClAKYQpxCoAKjQqaCqUKrwq5CsEKyArPCtYK3ArjCusK8wr8CwULEAsbCyYLMws/C0wLWAtlC3ELfQuIC5MLnQunC7ALugvDC8wL1QveC+cL8Qv6DAMMDQwWDCAMKgw0DD4MSAxTDF4Magx2DIMMkQygDK8MvwzPDN8M7gz+DQwNGg0mDTENOw1DDUoNUA1UDVgNXA1gDWQNaQ1vDXYNfw2JDZYNpA2zDcQN1Q3nDfoODQ4fDjEOQg5SDmEObw57DoYOkA6ZDqAOpw6sDrAOsw61DrUOtA6xDqwOpg6eDpMOhg54DmcOVA5ADioOEg35Dd8NxA2pDYwNcA1TDTcNGgz9DOEMxAyoDIsMbwxSDDYMGgv9C+ELxgurC5ALdwtfC0kLNQskCxULCgsCCv4K/QsACwcLEgsfCy8LQAtTC2cLeguMC50LrAu4C8ELyAvNC88L0AvQC9AL0QvSC9YL3AvmC/IMAgwVDCoMQQxaDHIMiwyiDLgMywzbDOkM9Az9DQQNCw0RDRkNIw0wDUENVQ1vDY0Nrw3UDfwOJg5QDnkOnw7BDt8O9w8HDxIPFQ8RDwcO+Q7lDs8Otw6fDogOcw5hDlMOSg5FDkUOSg5SDl8Obw6BDsIO0A7fDu4O/g8ODx0PLQ88D0oPWA9mD3IPfQ+HD5APlg+aD5wPmw+YD5IPig+AD3QPZw9aD00PQA81DysPJA8eDxsPGg8aDxsPHQ8dDx0PGQ8SDwYO9g7gDsQOpA5+DlQOJg33DcYNlg1oDT0NFgzzDNcMvwyuDKIMmgyXDJUMlgyWDJYMlAyQDIgMfgxvDF4MSgw0DBwMBAvsC9YLwAutC5wLjAt/C3ILZgtaC00LPwsvCxwLBgruCtMKtQqWCnUKVAoyChEJ8gnUCbgJnQmGCW8JWwlHCTQJIQkOCPsI5gjQCLkIoQiJCG8IVgg9CCUIDQf3B+IHzwe9B60HngeQB4MHdgdqB10HUQdDBzUHJwcZBwoG/AbtBt8G0gbFBrgGrAagBpQGiAZ8BnAGYgZUBkQGMwYhBg8F+wXmBdIFvQWpBZUFggVwBWAFUQVDBTYFKwUgBRYFDAUCBPgE7QThBNUEyAS6BKwEnQSNBH0EbQRdBE0EPQQuBB8EEAQCA/QD5gPYA8kDuwOtA54DjwOAA3EDYQNSA0MDNAMlAxYDCAL6Au0C4ALTAscCuwKvAqQCmgKPAoYCfAJzAmoCYgJZAlECSQJAAjgCLwInAh0CFAIKAgEB9wHtAeQB2gHRAckBwQG5AbIBqwGkAZ0BlQGNAYQBewFwAWQBVgFIATkBKQEYAQgA9wDnANgAyQC8AK8ApACaAJEAiAB/AHcAbgBlAFwAUQBGADoALgAhABQAB//6/+7/4//Z/9D/yP/B/7z/t/+0/7H/r/+s/6r/qP+m/6P/of+e/5z/mf+W/5T/kf+P/43/i/+J/4f/hP+B/37/ev92/3H/a/9l/1//WP9R/0r/RP89/zf/Mf8r/yX/IP8a/xX/D/8J/wL+/P71/u3+5v7f/tj+0v7M/sf+w/7A/r7+vf69/r7+wP7C/sT+x/7K/sz+zv7P/tD+0P7Q/s/+zf7K/sj+xP7A/rz+uP6z/q7+qf6j/p3+mP6S/oz+hf5//nn+cv5r/mX+Xf5W/k7+R/4//jf+L/4o/iH+G/4X/hT+E/4V/hn+If4r/jn+Sv5e/nT+jf6m/sH+3P72/w//J/88/07/Xf9p/3L/ef99/3//gP+A/4D/gP+B/4P/hv+L/5H/mP+g/6j/sf+6/8H/x//M/8//z//O/8r/xP+8/7P/qP+d/5H/hf96/3D/Zv9f/1n/VP9S/1H/Uf9T/1b/Wf9b/17/X/9f/13/Wf9T/0r/QP8z/yX/Ff8F/vX+5f7X/sr+v/63/rH+r/6v/rL+t/6//sj+0v7d/un+9P7//wn/Ev8b/yP/Kv8w/zX/Of89/0D/Qv9E/0T/RP9C/z//PP84/zP/Lv8p/yX/Iv8h/yL/Jv8t/zf/Rf9W/2r/gP+Y/7L/zP/nAAEAGQAwAEUAVwBnAHUAgQCLAJQAnACkAKsAswC8AMUAzgDYAOMA7gD5AQMBDQEVARwBIgElASYBJgEjAR8BGQERAQcA/QDzAOgA3ADSAMgAvwC4ALIArgCsAKwArgCxALYAvADCAMkA0ADXAN0A4gDmAOkA6wDrAOwA7ADsAO0A7wDyAPcA/gEGARABGwEnATMBPwFKAVMBWgFeAV8BXQFYAVABRQE5ASsBHgEQAQQA+QDxAOwA6gDqAO4A9AD8AQYBEQEcAScBMQE6AUIBSAFLAU4BTgFNAUsBRwFDAT8BOgE2ATIBLgEqAScBJAEhAR8BHgEcARwBGwEcAR0BHwEiASYBKgEwATUBOwFCAUgBTQFSAVYBWAFYAVcBVAFQAUkBQgE5ATABJwEeARUBDgEIAQMBAAD/AP4A/wEAAQEBAgECAQEA/gD6APMA6wDhANYAywC/ALMAqQChAJsAmACYAJsAogCrALcAxgDWAOYA9wEIARcBJAEvATcBPAE/AT8BPAE4ATEBKgEhARkBEQEJAQIA/AD4APQA8gDxAPEA8gD0APUA9wD5APsA/AD9AP0A/QD8APoA+AD2APQA8QDvAO0A7ADsAO0A7gDxAPYA/AEDAQsBFQEgASsBNwFDAVABWwFnAXEBewGDAYoBjwGTAZUBlQGUAZEBjQGHAYABeAFvAWUBWwFQAUQBOAEsAR8BEQEDAPUA5QDVAMQAsQCeAIoAdABfAEkAMwAeAAr/9//n/9j/zf/E/77/u/+7/73/wP/E/8j/zP/O/87/y//F/7z/r/+e/4v/df9d/0X/Lf8W/wH+7/7g/tT+zP7I/sj+yv7P/tX+3f7k/uv+8P7z/vX+8/7v/un+4f7W/sr+vv6w/qP+lv6K/n7+dP5q/mL+Wv5T/k3+R/5B/jz+N/4x/iz+J/4i/h7+Gv4W/hP+EP4N/gz+Cv4J/gf+Bv4E/gL9//38/fj98/3u/ej94v3c/db90P3L/cb9w/3A/b79vv2+/b/9wv3F/cn9zv3T/dj93v3k/er98P33/f7+Bf4N/hT+Hf4l/i7+N/5B/kr+U/5c/mT+bP5z/nn+fv6D/of+iv6O/pH+lf6Y/p3+ov6o/q/+tv6+/sb+zv7W/t3+4/7o/uv+7f7u/u7+7P7q/uj+5f7j/uL+4/7k/uf+7P7y/vr/A/8M/xb/H/8o/zD/N/88/z//Qf9B/z//PP84/zT/L/8q/yX/IP8b/xf/E/8Q/wz/CP8E/v/++f7z/uz+5P7b/tL+yf7A/rj+sP6q/qT+oP6e/p7+n/6i/qb+q/6x/rj+v/7F/sz+0v7Y/t3+4f7l/uj+6v7r/uv+6/7q/un+5/7k/uL+3/7d/tv+2f7Z/tn+3P7g/uf+8P77/wn/Gf8r/z7/Uv9n/3v/j/+i/7L/wP/L/9T/2v/d/97/3v/d/9z/2//a/9z/3//k/+r/8//9AAgAFAAfACoANAA8AEIARwBJAEsASwBLAEwATgBSAFkAYwByAIUAnAC3ANYA+AEdAUQBbAGVAb0B5AIKAi0CUAJwApACrgLLAucDBAMhAz8DXQN7A5sDuQPYA/UEEQQqBEEEUwRiBGwEcgRzBHAEaARcBE0EOwQoBBID/APnA9IDvgOtA58DlAOMA4kDigOPA5oDqAO8A9QD8QQRBDUEXQSIBLQE4wUTBUMFdAWkBdMGAAYsBlYGfQaiBsUG5QcDByAHOgdUB2wHhAebB7IHygfiB/sIFQgvCEsIZwiDCKAIvQjaCPcJEwkvCUkJYwl7CZIJqAm9CdEJ5An2CgcKGAooCjkKSQpZCmkKeQqICpgKpgq1CsIKzwrbCuYK8Qr6CwMLDAsUCxwLJQstCzYLPwtJC1MLXQtoC3MLfguJC5QLnwupC7ILuwvDC8sL0gvZC+AL5wvuC/QL/AwDDAsMEwwbDCQMLQw2DEAMSQxTDF0MZwxxDHwMhwySDJ4Mqgy3DMQM0QzfDOwM+Q0GDRINHQ0oDTENOQ1BDUcNTQ1TDVgNXg1jDWoNcQ15DYMNjg2aDacNtg3GDdYN5w34DgoOGw4sDjwOTA5bDmoOeA6FDpIOnw6qDrYOwQ7LDtQO3A7jDugO7A7tDu0O6Q7kDtwO0Q7EDrUOpA6RDnwOZg5PDjcOHw4GDewN0w25DZ4Ngw1oDUwNLw0SDPMM1Ay0DJQMcwxSDDEMEAvwC9ELswuXC34LaAtUC0ULOQsxCy4LLgsyCzsLRgtUC2ULdguIC5sLrAu7C8kL0wvbC+AL4QvhC94L2wvXC9QL0gvUC9kL4gvwDAIMGQw0DFMMdQyYDLsM3gz/DR4NOQ1QDWINcQ18DYQNig2PDZQNmw2kDbANwA3VDe8ODQ4uDlMOeQ6gDscO6w8LDygPPg9PD1kPXQ9aD1IPRA8zDyAPCg70Dt8Oyw66DqsOoQ6aDpYOlw6aDqEOqg61DwkPDA8PDxMPFw8cDyMPKw80Dz8PTA9ZD2gPdg+FD5IPng+oD68Psw+0D7EPqw+iD5YPiQ96D2sPXA9OD0IPOA8xDywPKg8qDywPLg8xDzIPMg8vDycPGw8JDvIO1Q6yDosOXw4wDf8Nzg2dDW4NQg0aDPYM1wy+DKkMmAyLDIAMeAxwDGgMXwxUDEcMOAwnDBQL/wvqC9QLvwusC5sLiwt/C3ULbQtnC2ILXQtYC1ILSQs+Cy8LHQsHCu4K0gqzCpEKbwpMCikKBwnmCccJqgmPCXUJXQlGCTAJGgkECO4I2AjACKgIjwh2CF0IRAgsCBQH/QfoB9QHwQewB6AHkAeCB3QHZgdYB0oHPActBx4HDwb/Bu8G4AbRBsIGswalBpcGigZ9BnAGYgZUBkYGNgYmBhUGBAXxBd4FygW2BaIFjwV8BWkFWAVIBTkFLAUfBRMFCAT9BPIE6ATdBNEExQS4BKsEnQSOBH8EbwRfBFAEQAQxBCIEFAQFA/gD6gPdA9ADwwO1A6gDmgOLA30DbgNfA08DQAMxAyIDFAMGAvkC7QLgAtUCygLAArUCrAKiApgCjwKGAnwCcwJpAmACVgJMAkECNgIrAiACFAIHAfoB7QHfAdABwgG0AaYBmAGLAX8BdAFqAWEBWAFRAUsBRQE/AToBNAEuAScBHwEWAQsBAAD0AOYA2ADKALsArQCeAI8AggB0AGcAWgBOAEMANwArACAAFAAI//3/8f/l/9r/z//E/7r/sP+n/57/lv+P/4j/gf97/3b/cP9r/2f/Yv9e/1v/WP9W/1T/U/9S/1L/Uv9S/1L/Uv9R/0//TP9H/0L/O/8z/yr/IP8V/wv/AP72/uz+5P7c/tX+z/7K/sX+wf68/rj+s/6u/qj+of6Z/pL+iv6B/nr+cv5r/mb+Yf5e/lz+Wv5a/lv+XP5e/mD+Yf5i/mP+ZP5k/mP+Yv5h/mD+X/5f/l7+Xv5e/l7+X/5f/mD+X/5f/l3+W/5Y/lT+UP5K/kX+P/44/jL+K/4k/h7+F/4R/gv+Bv4A/fv99/3z/fD97v3u/e/98v34/gD+C/4Y/if+Of5M/mL+eP6O/qX+uv7P/uP+9P8E/xL/Hv8o/zH/Of8//0X/S/9R/1f/Xf9j/2n/b/91/3r/f/+C/4T/hf+E/4L/fv96/3X/bv9o/2L/XP9X/1L/Tv9M/0r/Sv9L/03/UP9T/1f/XP9g/2P/Z/9p/2r/af9n/2P/Xv9W/03/Qf81/yf/Gf8L/v3+8f7l/tz+1f7Q/s7+z/7S/tj+4P7o/vP+/f8I/xL/G/8k/yv/Mf82/zr/Pf9A/0L/RP9F/0b/R/9H/0f/R/9G/0X/Q/9B/z//Pf88/z3/QP9F/0z/V/9m/3j/jf+l/8D/3f/6ABgANQBQAGkAfwCSAKEArQC2AL0AwQDEAMYAyADKAM0A0gDYAOAA6QDzAP0BBwERARoBIQElASgBKAEmASIBGwESAQgA/QDyAOYA2gDPAMQAuwCyAKwApwCjAKEAoQCjAKUAqgCvALQAuwDBAMcAzADRANQA1QDWANUA0wDPAMwAyADFAMIAwgDDAMYAzADUAN8A6wD5AQcBFQEjAS4BOAE/AUIBQwFAAToBMQEnARwBEAEFAPsA8wDtAOoA6gDtAPMA+gEEAQ8BGgElATABOQFBAUgBTQFQAVIBUgFSAVEBUAFPAU8BTwFPAVABUQFSAVMBVAFUAVQBUwFSAVABTQFJAUYBQgE/AT0BPAE8AT0BQAFEAUkBTwFWAV4BZQFrAXEBdQF4AXkBeAF1AXABagFjAVoBUgFJAUEBOQEzAS0BKAElASIBIAEeARsBGAEUAQ4BCAEAAPYA7ADhANYAzADDALwAtwC1ALYAuwDCAM0A2gDpAPoBCwEcASwBOgFHAVABVgFZAVgBVQFPAUcBPQExASUBGQEOAQMA+gDyAOwA6ADlAOMA4wDkAOYA6ADqAOwA7QDuAO4A7QDsAOkA5gDjAN8A3ADZANYA1QDVANcA2gDfAOYA7gD4AQQBEAEdASsBOAFGAVIBXQFoAXEBeAF+AYIBhQGGAYYBhAGBAX0BeAFyAWsBYwFaAVABRQE6AS4BIgEVAQgA+wDuAOAA0gDEALYAqACZAIoAewBsAF0ATQA+ADAAIwAWAAwAA//8//b/8//x//D/8P/x//D/7//s/+f/3//U/8b/tf+i/4z/dP9c/0P/K/8W/wL+8v7l/tz+1/7V/tb+2f7f/uX+7P7y/vf++v77/vr+9v7w/uj+3f7R/sX+t/6p/pz+j/6C/nf+bP5i/lj+T/5H/j/+N/4w/ij+If4a/hP+Df4H/gL9/f35/fb98v3w/e796/3p/ef95P3h/d792v3W/dH9zP3G/cH9vP23/bL9rv2q/aj9pv2l/aX9pf2n/an9rP2v/bP9t/27/b/9xP3I/c390v3X/dz94v3o/fD9+P4B/gv+Ff4h/i3+O/5I/lb+ZP5y/oD+jf6a/qb+sf67/sX+zv7W/t7+5f7r/vD+9f75/vv+/f79/vv++f70/u/+5/7f/tf+zf7E/rz+tP6u/qr+p/6n/qr+rv60/rz+xf7O/tj+4f7q/vH+9/77/v3+/f78/vr+9/7z/u7+6v7l/uH+3v7b/tj+1v7T/tD+zP7H/sH+uf6w/qb+mv6O/oH+dP5n/lz+Uf5J/kL+Pf47/jv+Pf5B/kf+Tf5U/lz+Y/5q/nD+df56/n3+gP6B/oP+g/6D/oP+g/6D/oP+gv6C/oH+gP5+/n3+e/56/nr+ev58/n/+hf6N/pj+p/64/sz+4/79/xf/M/9O/2n/gf+X/6r/uf/E/8v/zv/N/8n/wv+5/7D/pf+c/5L/i/+E/4D/fv99/37/gf+F/4r/kP+Y/6H/q/+2/8T/1f/o//4AFwA0AFQAdwCdAMUA7gEZAUQBbgGYAcAB5gIKAiwCSwJpAoUCoQK7AtUC7wMJAyQDPwNaA3UDjwOpA8AD1gPpA/gEBAQMBBAEEAQMBAUD+wPuA98DzwO+A60DnQONA4ADdANrA2UDYgNiA2YDbgN6A4oDngO2A9ID8gQUBDoEYwSOBLoE6AUWBUUFcwWgBc0F9wYgBkgGbQaRBrMG0wbxBw8HKwdHB2IHfQeXB7IHzAfnCAEIHAg3CFMIbgiKCKYIwgjdCPkJFQkvCUoJYwl8CZQJrAnCCdcJ7AoAChMKJQo3CkkKWgpsCn0KjwqgCrEKwwrUCuUK9QsFCxQLIwsxCz4LSgtWC2ELbAt2C38LiAuRC5oLogurC7ILugvBC8gLzgvUC9kL3gvjC+cL6wvvC/ML+Av9DAIMCAwPDBcMHwwoDDEMOwxFDFAMWwxmDHEMfAyHDJIMnQypDLQMvwzKDNUM4AzqDPUNAA0KDRMNHQ0mDS8NNw0/DUcNTw1XDWANaQ1yDXwNhw2TDZ8NrA25DcgN1g3lDfQOAw4SDiAOLw49DksOWQ5nDnUOgw6RDqEOsA7ADtAO4Q7xDwEPEA8dDyoPNA87D0APQw9CDz4PNw8tDyEPEw8CDvAO3A7IDrIOnA6FDm4OVg49DiQOCQ3tDc8NsA2PDW0NSQ0jDPwM1QyuDIYMYAw7DBcL9wvZC74LqAuVC4cLfQt4C3cLeguBC4sLmAumC7YLxgvWC+UL8gv9DAQMCQwLDAoMBgwBC/oL8wvtC+kL5wvqC/EL/QwPDCcMRAxmDIwMtAzfDQoNNA1cDYENog2+DdYN6g35DgUODg4WDh0OJQ4vDjsOSw5eDnQOjg6qDsgO5w8FDyIPPQ9TD2YPdA99D4APfw96D3EPZg9YD0kPOw8tDyEPFg8NDwcPAg8ADv8O/w8ADwIPBQ8HD3MPbA9kD1sPUw9MD0cPRA9ED0cPTQ9WD2EPbQ97D4oPlw+jD64Ptg+6D7wPug+1D60Pow+XD4oPfg9xD2YPXA9UD08PTA9KD0oPSw9MD00PTA9JD0IPOA8pDxUO/A7fDrwOlg5tDkEOEw3lDbcNiw1iDToNFwz2DNkMwAyoDJQMgQxuDFwMSgw4DCQMEAv7C+ULzwu6C6YLlAuDC3YLawtiC10LWQtXC1YLVQtTC1ALSgtBCzULJQsRCvoK3wrBCqEKgApeCjwKGwn6CdsJvgmiCYcJbglWCT4JJgkPCPcI3wjGCK0Ikwh6CGAIRggtCBQH/QfmB9AHuweoB5UHggdxB18HTgc9BywHGwcLBvoG6gbaBsoGuwasBp0GjwaCBnQGZwZZBksGPQYvBh8GDwX+BewF2gXHBbQFoAWMBXkFZgVTBUEFMAUgBREFAwT1BOkE3ATQBMUEuQSuBKIElgSJBHwEbwRiBFMERQQ3BCkEGgQMA/4D8APjA9UDyAO6A60DnwORA4MDdQNmA1cDSAM6AysDHAMOAwAC8wLnAtsC0ALGAr0CswKqAqICmQKQAocCfgJ0AmoCXwJUAkgCPAIvAiICFQIHAfgB6QHaAcsBuwGrAZsBiwF8AWwBXgFQAUMBOAEuASUBHQEWAREBDAEIAQQBAQD9APkA9ADuAOcA3gDVAMoAvgCxAKMAlQCGAHYAZwBXAEcAOAApABkAC//9/+//4v/V/8n/vv+z/6n/oP+Y/5D/if+C/3z/dv9w/2r/Zf9f/1n/U/9O/0j/Q/8//zr/N/81/zP/Mv8y/zL/Mv8y/zL/Mf8u/yv/Jf8d/xT/Cf79/u/+4P7R/sL+s/6l/pj+jP6C/nr+c/5t/mj+ZP5h/l3+Wv5W/lH+S/5F/j/+OP4x/iv+JP4f/hv+F/4V/hT+FP4U/hX+F/4Y/hn+Gv4a/hr+Gf4Y/hf+Fv4V/hX+Fv4X/hn+HP4g/iT+KP4s/i/+Mf4z/jL+Mf4t/ij+Iv4a/hH+CP3//fb97v3m/d/92f3V/dH9zv3M/cr9yf3J/cn9yv3L/c390P3U/dr94v3r/fb+A/4S/iL+NP5G/ln+bP5//pH+ov6y/sL+0P7d/uj+8/7+/wf/Ef8Z/yL/Kf8x/zf/Pf9B/0T/Rv9G/0X/Q/9A/zz/OP80/zD/LP8q/yn/Kf8q/yz/MP80/zn/P/9E/0r/T/9T/1b/Wf9b/13/Xf9d/1z/W/9Z/1f/VP9R/03/Sf9E/z//Ov81/zH/Lf8q/yj/KP8p/yz/MP82/z3/Rf9O/1b/Xv9l/2v/b/9y/3P/cv9w/23/af9k/1//W/9X/1P/Uf9P/07/Tv9O/0//UP9S/1T/WP9d/2T/bf94/4f/mP+s/8T/3v/6ABgANwBWAHQAkACpAL8A0QDeAOcA7QDvAO0A6gDlAOAA2wDWANMA0gDSANMA1gDaAN4A4wDmAOkA6gDpAOcA5ADeANgA0QDJAMEAugCzAK4AqQClAKIAoACfAJ4AnwCfAKAAogCkAKYAqQCsALAAtAC4ALwAvwDCAMUAxgDFAMQAwQC9ALgAsgCtAKcAowCfAJ4AngChAKUArAC1AL8AyQDUAN4A5wDvAPQA+AD5APgA9QDxAOwA5wDiAN4A3ADbAN0A4ADmAO0A9gEAAQoBFAEeAScBLwE2ATsBPwFCAUQBRgFHAUkBSgFMAU8BUgFWAVoBXwFkAWgBbAFwAXIBcwFzAXIBcAFtAWkBZAFgAVsBVwFTAVEBUAFRAVMBVwFcAWIBaQFwAXcBfgGEAYgBigGKAYkBhQF/AXgBbwFmAVwBUgFJAUEBOgE0ATABLAEqASgBJgElASIBHgEaARMBDAEDAPoA8ADnAN4A2ADTANEA0QDVANsA5QDwAP4BDAEbASoBNwFCAUsBUgFVAVYBUwFOAUcBPQEzASgBHQESAQcA/gD3APAA7ADoAOYA5ADkAOQA5ADkAOMA4gDgAN0A2QDVANAAygDFAL8AuwC3ALQAswC0ALgAvQDEAM4A2QDmAPMBAgEQAR8BLQE5AUUBTgFWAV0BYgFlAWcBaAFpAWgBaAFmAWUBYwFgAV0BWQFVAU8BSQFBATkBLwElARsBDwEEAPgA7ADhANUAyQC9ALAApACXAIkAewBtAF4AUABCADQAKAAcABIACQAA//n/8//t/+f/4P/Y/8//xP+3/6j/l/+F/3H/Xf9J/zX/I/8U/wb+/P71/vH+7/7w/vP+9/78/wD/A/8F/wX/A/7+/vj+7/7k/tn+zP6//rH+pf6Y/o3+gv54/m/+Zv5d/lX+Tf5E/jv+M/4q/iH+GP4Q/gj+AP36/fT97/3q/ef94/3g/d392v3W/dL9zv3J/cT9vv25/bP9rf2o/aP9n/2b/Zn9l/2V/ZX9lf2V/Zb9mP2Z/Zv9nP2e/Z/9of2j/aT9pv2n/an9rP2v/bL9t/29/cT9zf3X/eP98v4C/hP+J/47/lH+Z/5+/pT+qv6+/tL+4/7z/wH/DP8V/xz/If8k/yX/I/8g/xv/FP8M/wL+9/7q/t3+zv7A/rL+pP6X/ov+gf55/nP+cP5v/nH+dP55/oD+iP6Q/pf+nv6k/qj+q/6s/qv+qf6l/qD+mv6U/o/+if6E/oD+fP55/nf+dP5x/m7+av5l/l7+Vv5M/kH+Nf4o/hv+Dv4B/fb97f3l/eD93v3d/eD95P3q/fL9+v4D/gv+E/4a/iD+Jf4o/iv+LP4t/i3+Lv4u/i/+MP4y/jT+Nv44/jr+O/48/jv+Ov44/jX+Mv4w/i7+Lv4w/jX+Pv5L/lz+cf6K/qb+xf7m/wf/KP9H/2P/e/+P/53/pv+p/6j/of+X/4r/e/9r/1v/TP8//zT/LP8n/yX/Jv8q/zH/O/9H/1b/Zv95/4//p//B/97//QAfAEMAaQCRALoA5AEOATgBYQGIAa0B0QHyAhECLwJKAmUCfgKXArACygLjAv0DGAMyA0sDZAN7A5EDowOyA74DxQPJA8kDxQO+A7QDqAOaA4oDewNrA1wDTwNDAzkDMQMsAykDKgMtAzQDPQNKA1sDbgOFA6ADvQPdBAAEJQRMBHUEnwTJBPQFHgVIBXEFmAW/BeUGCgYtBlAGcgaTBrQG1Qb1BxQHNAdTB3IHkAeuB8sH6AgECCAIOwhWCHAIiwilCMAI2gj0CQ0JJwlACVkJcgmJCaAJtgnMCeEJ9QoJChwKLwpCClYKagp9CpIKpgq7CtAK5Qr6Cw4LIQs0C0YLVgtlC3QLgAuMC5cLoQuqC7ILugvBC8gLzgvUC9kL3wvjC+gL7AvwC/ML9wv6C/0MAAwEDAgMDAwSDBcMHgwmDC4MNwxBDEwMWAxkDHAMfQyKDJgMpQyyDL8MywzXDOIM7Qz4DQINCw0UDR0NJQ0uDTYNPw1IDVENWw1lDXANfA2IDZUNow2yDcEN0A3gDfEOAQ4RDiEOMQ5BDlEOYA5vDn8Ojg6eDq4Ovg7QDuIO9A8HDxsPLw9DD1YPaA96D4kPlg+hD6gPrQ+vD60PqA+hD5YPig97D2sPWQ9GDzMPHw8KDvQO3Q7FDqsOjw5xDlEOLQ4HDd4Nsw2GDVcNJwz3DMgMmwxwDEgMJAwFC+oL1gvHC70LuQu6C78LyQvVC+QL9AwFDBYMJQwzDD8MRwxMDE4MTQxJDEIMOgwwDCcMHwwZDBcMGAwfDCsMPgxWDHQMlwy+DOkNFg1DDXENnA3FDesODA4oDkAOUw5jDnAOew6FDo4OmQ6lDrQOxQ7ZDu4PBg8fDzcPTw9kD3cPhw+SD5kPnA+bD5YPjg+FD3oPcA9mD14PWA9UD1QPVg9ZD18PZg9tD3MPeA97D30PfA94D94P1A/ID7sPrg+hD5cPjg+ID4YPhw+KD5EPmQ+jD60PuA/CD8oP0Q/VD9YP1Q/SD8wPxQ+8D7IPqA+eD5UPjQ+GD38Pew92D3MPcA9tD2kPZA9dD1QPSQ86DygPEw76Dt4Ovw6dDngOUg4rDgMN2g2yDYsNZQ1BDR4M/QzeDMAMowyIDG0MUww6DCAMCAvwC9gLwQusC5kLhwt4C2sLYQtYC1ILTgtLC0gLRQtCCz0LNgstCyALEQr/CukK0Qq3CpwKfwphCkQKJwoKCe4J1Am6CaEJiAlwCVgJQAkoCQ8I9gjcCMEIpwiMCHAIVQg7CCEIBwfuB9UHvQemB48HeAdiB00HOAckBxAG/QbrBtkGyAa4BqoGmwaNBoAGcwZnBloGTQY/BjIGIwYUBgQF8wXiBdAFvQWrBZgFhQVyBV4FTAU5BScFFQUEBPME4gTTBMMEtQSnBJkEjAR/BHMEZwRbBE4EQgQ2BCkEHAQPBAED8wPlA9YDxwO4A6oDmwOMA30DbgNgA1EDQwM1AyYDGAMKAvwC7wLiAtUCyQK9ArECpwKcApICiAJ/AnUCawJhAlcCTQJBAjYCKQIdAhACAgH0AeYB1wHIAboBqwGdAY4BgAFyAWUBVwFLAT4BMwEoAR0BFAELAQMA/AD2APAA6wDmAOIA3gDaANYA0QDMAMcAwAC5ALEAqACeAJMAhwB6AGwAXgBOAD4ALgAdAAv/+v/p/9j/yP+4/6n/nP+P/4T/e/9z/2z/Zv9h/17/W/9Y/1b/VP9S/0//Tf9K/0f/RP9B/z7/O/85/zb/NP8z/zH/L/8t/yr/J/8i/xv/E/8K/v7+8v7j/tT+w/6z/qL+kv6C/nP+Zv5a/lD+R/4//jj+Mv4t/ij+I/4e/hj+E/4N/gf+Af38/ff98/3v/e397P3r/ez97v3w/fL99P32/fj9+f36/fr9+v35/fj99/33/ff9+P36/fz9//4D/gf+C/4O/hH+Ev4S/hD+DP4G/f799f3q/d/91P3I/b79tP2r/aX9n/2b/Zn9mP2Y/Zj9mv2b/Z39n/2h/aT9qP2s/bH9uP3A/cr91f3i/fH+Af4R/iP+NP5F/lb+Zv51/oP+kP6c/qf+sf67/sX+zf7W/t/+5v7u/vX++v7//wL/BP8F/wX/BP8D/wH/AP8A/wH/A/8I/w3/Ff8e/yj/Mv89/0f/UP9X/13/Yf9j/2P/Yf9f/1v/V/9T/1D/Tv9N/07/UP9U/1n/Xv9l/2z/c/96/4H/h/+O/5T/mv+g/6b/rP+y/7n/v//F/8r/zv/Q/9H/0P/N/8j/wf+5/6//pf+a/5D/hv9+/3f/cf9u/2z/bP9t/3H/df96/4H/iP+R/5v/p/+1/8T/1v/rAAEAGgA1AFAAbQCIAKMAvADSAOUA8wD+AQUBBwEGAQIA+wDyAOkA3wDVAMsAwwC7ALUArwCqAKYAoQCcAJcAkgCMAIcAgQB8AHcAdABxAHEAcgB1AHkAfgCEAIoAjwCVAJkAnACeAJ8AnwCfAJ4AnQCcAJ0AngCgAKMApwCrALAAtAC4ALsAvAC8ALsAtwCyAK0ApgCgAJoAlQCSAI8AjwCRAJQAmQCfAKUArACzALkAvgDDAMcAyQDLAM0AzgDPANEA0wDVANkA3gDjAOkA7wD2AP0BBAEKARABFgEbASABJAEoASwBLwEzATcBOwFAAUQBSQFOAVMBVwFcAWEBZQFqAW0BcQFzAXUBdwF4AXgBeAF2AXQBcgFwAW0BawFqAWkBaAFpAWsBbwFzAXgBfQGCAYcBiwGOAY8BjwGMAYgBgQF5AXABZwFdAVMBSwFDAT0BOAE1ATIBMQEvAS4BLAEoASQBHgEXAQ4BBQD7APEA6ADhANsA2ADXANkA3gDlAO4A+AECAQ0BFwEgASYBKwEuAS4BLAEnASEBGgESAQoBAgD6APIA7ADnAOIA3wDcANoA2ADWANQA0gDPAMwAyADDAL0AtwCwAKoAowCdAJcAkgCPAI4AjwCSAJcAnwCoALQAwQDQAN8A7gD9AQsBGAEjASwBMwE4ATwBPgE/AUABQAFAAUEBQgFDAUUBSAFKAUwBTQFOAU0BSwFHAUIBOwEzASoBIAEWAQoA/wDzAOcA2wDOAMEAswCkAJUAhABzAGEATwA9ACsAGQAJ//r/7f/h/9b/zP/E/7z/s/+r/6H/l/+L/37/b/9g/1D/Qf8x/yT/GP8O/wf/Av8A/wD/Av8G/wr/Dv8R/xP/Ev8Q/wr/A/75/u3+4P7S/sP+tf6o/pz+kf6H/n7+d/5w/mn+Y/5c/lX+TP5E/jr+MP4l/hr+EP4G/f399P3t/ef94v3e/dr91v3S/c79yf3E/b79t/2v/af9n/2Y/ZD9iv2E/X/9fP16/Xn9ef16/Xv9ff2A/YL9hP2G/Yj9if2K/Yv9jP2M/Y39jv2O/ZD9kv2V/Zn9nv2l/a79uf3H/df96f39/hT+Lf5H/mP+f/6b/rb+0P7n/vz/D/8d/yn/MP81/zX/M/8u/yb/HP8R/wT+9f7m/tf+x/63/qf+l/6I/nn+bP5g/lb+Tf5G/kH+P/4+/j/+Qf5F/kn+Tv5S/lb+WP5a/ln+V/5T/k3+Rv4//jb+Lf4k/hz+FP4N/gf+Av39/fr99v3y/e796v3k/d791v3O/cT9uv2v/aX9m/2S/Yv9hf2C/YH9gv2G/Yz9lP2d/aj9s/2+/cj90f3Z/d/94/3m/ef95v3l/eP94f3g/d/93/3g/eL95P3o/ev97/3y/fT99P30/fP98P3t/er96P3n/en97v33/gT+Fv4s/kb+ZP6F/qf+yf7r/wr/Jv89/1D/XP9j/2X/Yf9Z/07/QP8y/yP/Fv8K/wH++/75/vv+//8I/xP/If8x/0T/WP9v/4f/ov++/93//gAhAEYAbgCXAMEA6wEWAT8BaAGPAbMB1QH0AhACKwJDAlkCbgKDApgCrQLDAtkC8QMIAyADNwNNA2EDcwOCA44DlgOaA5oDlwORA4gDfQNxA2MDVgNJAzwDMgMpAyEDHAMZAxkDGwMfAyYDMAM7A0oDXANwA4YDoAO8A9sD+wQeBEIEZwSOBLQE2wUBBScFTQVyBZYFugXeBgAGIwZGBmkGjAavBtIG9AcXBzkHWgd7B5oHuQfXB/MIDwgqCEQIXgh4CJEIqgjCCNsI8wkLCSMJOQlPCWUJeQmMCZ8JsQnCCdMJ5An1CgcKGQotCkAKVQprCoEKlwqtCsQK2grvCwQLFwspCzsLSgtZC2cLdAuAC4wLlwuhC6wLtgvAC8oL0wvcC+QL7AvzC/kL/gwCDAYMCQwLDA4MEAwTDBUMGQweDCMMKgwzDD0MSAxVDGIMcgyCDJIMowy0DMUM1QzlDPMNAQ0ODRkNJA0uDTcNQA1IDVENWQ1iDWwNdg2BDY0Nmg2oDbcNxw3YDekN+w4ODiEONA5IDlwOcQ6FDpkOrg7CDtYO6w7/DxMPJw87D1APZA94D4wPnw+zD8UP1g/mD/QQABAKEBEQFRAXEBUQERAKEAEP9g/pD9sPzA+8D6wPmw+JD3YPYg9NDzQPGQ77DtkOsw6IDloOJw3xDbkNfg1EDQoM0gyeDG4MRQwhDAUL8QvkC98L4AvpC/YMCAwcDDIMSQxeDHIMggyPDJgMnAycDJcMjwyFDHkMbAxfDFUMTQxKDEwMVAxiDHYMkQyzDNkNBA0zDWMNlA3EDfIOHQ5DDmUOgg6aDq0OvA7IDtEO2g7iDusO9w8EDxQPJw88D1MPaw+DD5oPrg/AD84P1w/cD9wP2A/QD8UPuA+rD54Pkw+KD4QPgw+FD4oPlA+fD60Puw/ID9UP3w/lD+kP6Q/lEB8QGRAREAcP/g/1D+0P5w/jD+EP4g/lD+kP7g/1D/sQABAFEAgQCRAIEAYQAQ/7D/QP7A/jD9sP0g/JD8EPug+zD6wPpQ+eD5cPjw+HD34PdA9oD1wPTg8/Dy4PHA8IDvMO3A7DDqgOiw5sDksOKQ4FDd8NuQ2SDWoNQw0cDPUM0AysDIkMaAxJDCsMDwv1C90LxguxC54LjQt+C3ALZAtaC1ALSAtBCzoLMgsqCyILGAsNCwAK8QrhCs8KuwqlCo8KeApgCkkKMAoYCgEJ6QnRCbkJogmJCXEJWAk+CSQJCQjuCNMItwicCIAIZQhKCC8IFAf6B+EHxweuB5YHfQdlB00HNwcgBwsG9gbjBtEGwAavBqAGkgaEBncGaQZcBk4GQAYxBiIGEgYBBfAF3wXNBbwFqgWYBYcFdQVkBVIFQAUuBRwFCgT3BOUE0gTABK4EnQSMBHwEbQReBFEEQwQ3BCoEHgQSBAUD+APqA9sDzAO8A6sDmwOKA3kDaANYA0gDOQMrAx0DDwMCAvUC6QLcAtACwwK3AqoCngKRAoUCeAJsAmACVAJJAj4CMgInAhwCEQIFAfoB7gHhAdUByAG6Aa0BnwGSAYQBdwFqAV4BUQFGAToBLwElARsBEQEIAP8A9gDuAOYA3gDWAM8AyADBALsAtQCwAKsApwCjAKAAnACZAJYAkgCNAIgAggB7AHIAaABcAE4APwAuABwACP/0/9//yv+2/6L/j/99/23/X/9T/0n/QP86/zX/Mv8x/zD/MP8w/zH/Mf8y/zH/Mf8w/y7/LP8p/yb/Iv8f/xv/Fv8S/w3/B/8B/vv+9P7s/uP+2v7Q/sX+uv6u/qL+lv6J/n3+cf5l/lr+T/5F/jv+Mf4o/h/+Fv4O/gb9/v33/fD96v3l/eH93v3b/dr92f3a/dv93f3f/eH95P3m/ej96f3p/er96f3o/ej95v3l/eX95P3k/eT95f3l/eb95v3m/eX95P3h/d392P3R/cr9wf24/a/9pv2d/ZX9jf2H/YL9fv17/Xn9d/12/XX9dP1z/XL9cf1x/XH9cf1z/Xf9fP2D/Y39mP2m/bX9xv3Y/er9/P4O/h/+Lv49/kr+Vf5f/mj+cf55/oD+iP6P/pf+n/6m/q7+tP66/r7+wv7E/sb+x/7H/sj+yf7M/tD+1/7f/ur+9/8F/xT/JP80/0L/T/9Z/2D/ZP9l/2P/X/9Y/1H/Sf9C/z3/Of84/zv/QP9J/1T/Yf9w/4D/kP+g/6//vv/L/9b/4P/p//D/9//9AAIABgAKAA0ADgAOAA0ACgAG////9//t/+L/1v/K/7//tf+s/6X/oP+e/57/oP+k/6r/sv+6/8P/zP/V/9//6f/0AAAADAAaACkAOQBLAF4AcgCHAJsArwDAANAA3gDoAO8A8gDyAO8A6QDhANYAywC+ALEApACWAIoAfQBxAGYAXABSAEkAQQA7ADYAMgAxADIANAA5AEEASgBUAF8AawB3AIEAigCSAJcAmgCaAJkAlgCSAI4AigCGAIQAhACGAIoAjwCXAJ8AqACxALoAwQDGAMoAywDKAMcAwgC9ALYAsACqAKQAoACdAJwAnQCfAKMApwCsALIAuAC+AMQAygDPANQA2ADcAOAA4wDnAOkA7ADuAPAA8gD0APYA9wD5APwA/wEDAQcBDAERARgBHgElASwBMwE5AT4BQwFGAUkBSwFNAU4BUAFRAVMBVgFZAV0BYgFmAWsBbwFzAXYBdwF3AXYBdAFxAW4BagFnAWUBZQFlAWgBbAFxAXgBfgGFAYoBjgGRAZEBjwGLAYQBfAFyAWgBXgFUAUsBQwE8ATcBMwEwAS0BKgEnASMBHgEYARABCAD/APUA7QDkAN4A2QDWANUA1wDaAN8A5QDrAPIA+AD9AQABAwEDAQEA/wD7APYA8ADqAOUA3wDbANYA0wDPAMwAygDHAMQAwAC8ALgAsgCtAKYAnwCYAJAAiQCBAHoAcwBuAGkAZgBkAGUAZwBsAHMAfACHAJMAogCwAMAAzwDdAOoA9gEAAQcBDQERARMBFAEUARQBFAEUARUBFwEaAR4BIQElASgBKwEsASsBKQEkAR4BFgEMAQEA9QDpANwA0ADDALYAqQCcAI8AgAByAGIAUQBAAC4AHAAK//j/5//Y/8v/v/+1/63/pv+g/5v/lf+P/4f/f/90/2j/W/9N/z7/MP8i/xb/DP8F/wD+/v7//wL/Bv8L/xD/Ff8X/xf/Ff8Q/wj+/v7x/uP+0/7E/rX+p/6a/o/+hf59/nb+cP5r/mX+X/5Y/lD+R/48/jD+JP4X/gv9//30/er94v3b/dX90f3N/cr9xv3C/b39t/2w/af9nv2T/Yn9fv1z/Wr9Yv1b/Vb9U/1R/VH9U/1V/Vj9XP1g/WT9aP1s/XD9c/12/Xn9fP1//YL9hv2K/Y79k/2Y/Z/9p/2x/bz9yf3Z/ev9//4W/i/+Sv5l/oL+n/66/tT+6/7//xD/HP8k/yf/Jf8g/xf/Cv78/uv+2f7H/rT+o/6R/oH+cf5j/lb+Sv4//jX+LP4l/h7+Gf4V/hP+Ef4R/hH+Ev4T/hT+Ff4V/hT+Ef4N/gf+AP33/e394v3W/cr9vv2y/af9nf2U/Yz9hv2A/Xr9dv1x/W39aP1j/V79V/1R/Ur9Q/09/Tb9Mf0t/Sr9Kf0q/S39Mv05/UL9Tf1Z/Wb9c/2A/Yz9mP2h/aj9rf2w/bH9r/2s/af9ov2d/Zj9lP2R/Y/9j/2Q/ZP9lv2a/Z/9o/2n/ar9rf2v/bH9s/22/bv9wv3M/dn96v3//hf+M/5Q/nD+kP6v/sz+5v79/w//G/8j/yb/JP8f/xb/Df8C/vj+8P7q/uf+5/7q/vL+/P8K/xr/LP9A/1b/bf+G/6H/vf/c//0AIABGAG8AmQDGAPMBIQFPAXsBpgHNAfECEQItAkQCWQJpAngChAKQApsCqAK1AsQC1QLnAvwDEAMmAzsDTgNgA28DewOEA4oDjAOLA4cDgQN5A3EDaANgA1kDUwNOA0sDSgNLA04DUgNYA18DaANyA34DjAOcA64DwgPZA/EEDAQpBEgEaASLBK4E0gT2BRsFQAVlBYkFrQXSBfYGGgY+BmIGhgarBs8G9AcYBzwHXweCB6MHxAfjCAEIHgg5CFQIbQiFCJ0IswjJCN4I8wkGCRgJKQk6CUkJVwljCXAJewmGCZEJnAmoCbQJwgnRCeEJ8woGChoKLwpECloKcAqGCpwKsQrFCtkK7Ar+CxALIQsyC0MLUwtkC3QLhAuUC6QLsgvAC84L2QvkC+0L9Qv8DAAMBAwGDAgMCQwKDAsMDAwODBIMFwweDCYMMgw/DE4MXwxxDIUMmgyvDMMM2AzsDP4NEA0gDS4NOw1HDVINXQ1nDXENew2FDZANnA2pDbYNxQ3VDeUN9g4IDhsOLw5DDlgObg6EDpsOsg7KDuIO+g8SDyoPQg9ZD3APhg+cD7APxA/XD+oP/BANEB0QLBA6EEcQUhBcEGMQaBBrEGwQaxBnEGEQWhBSEEgQPhA0ECkQHhATEAYP+A/oD9UPvw+kD4MPXQ8xDv8Oxg6JDkYOAQ26DXMNLgzsDLAMewxODCsMEgwCC/0MAQwMDB8MNwxSDG4MiwylDLwMzgzbDOIM4wzfDNUMyAy4DKgMlwyJDH4MeAx4DH8MjgykDMIM5w0SDUINdg2rDeIOGA5LDnoOpQ7KDuoPAw8XDyYPMQ85Dz8PRA9KD1IPWw9oD3cPig+fD7YPzQ/lD/sQDxAgEC0QNRA4EDYQMBAlEBgQCQ/5D+oP3A/RD8kPxQ/FD8gP0A/aD+UP8g//EAwQFhAeECMQJRAjEDwQOhA3EDMQLhArECgQJxAnECgQKhAuEDMQNxA7ED8QQRBBEEAQPRA4EDEQKRAgEBYQDBACD/kP8A/oD+AP2A/RD8kPwQ+3D60PoQ+UD4YPdw9nD1cPSA84DykPGg8LDv0O7g7fDs4Ouw6mDo0OcQ5SDi8OCQ3fDbMNhg1XDSgM+gzODKMMfAxXDDUMFwv8C+QLzgu7C6oLmwuMC38LcwtnC1sLUAtFCzoLLwsjCxgLDAr/CvEK4wrUCsQKswqiCo8KewpnClIKPQonChAJ+AngCcgJrwmVCXoJXwlECSgJDAjwCNQIuAidCIIIaAhOCDUIHAgEB+wH1Ae8B6QHjQd1B14HSAcxBxwHBwbzBuAGzQa8BqsGmwaLBnsGawZaBkoGOQYnBhUGAgXvBd0FygW4BaYFlQWEBXQFZAVUBUQFNAUjBRIFAATtBNoExgSzBJ8EjAR6BGgEVwRHBDkEKgQdBBAEAwP2A+gD2QPKA7oDqQOYA4YDdANiA1ADPwMvAx8DEAMCAvUC6QLdAtICxgK6Aq4CoQKUAocCeQJrAl0CTwJCAjUCKAIdAhECBwH9AfMB6gHhAdcBzgHEAbkBrgGjAZcBigF9AW8BYgFUAUcBOQEsASABEwEHAPwA8QDmANwA0gDIAL4AtACrAKIAmQCRAIoAhQCAAHwAegB5AHkAegB8AH4AgQCEAIUAhgCEAIEAfAB0AGkAWwBLADgAJAAN//X/3P/C/6j/j/93/2D/S/84/yf/F/8L/wD++P7y/u3+6f7n/uX+5P7i/uH+4P7d/tv+1/7T/s7+yf7E/r7+uP6z/q7+qf6l/qL+oP6e/p3+nP6b/pv+mv6Y/pb+k/6P/or+g/57/nL+aP5d/lH+Rf45/iz+IP4V/gv+Af34/fH96v3l/eH93v3b/dn92P3X/df91/3X/df91/3X/df91/3W/dX91P3S/dD9zv3L/cj9xf3C/b79u/23/bP9r/2r/ab9ov2d/Zn9lP2P/Yr9hf2A/Xz9d/1z/W/9bP1p/Wb9Y/1g/V39Wv1W/VH9Tf1I/UL9Pf05/TX9M/0y/TT9Of0//Un9Vf1k/XX9h/2a/a79wf3U/eX99P4B/g3+F/4f/if+Lf40/jr+Qf5J/lH+Wv5i/mv+dP58/oL+iP6L/o7+j/6P/o/+j/6Q/pP+mP6f/qn+tv7F/tf+6f78/w7/H/8t/zj/QP9F/0X/Qv89/zX/Lf8k/x3/GP8V/xb/Gv8i/y3/PP9N/1//cv+G/5j/qv+6/8j/1f/f/+j/7//2//sAAAAEAAgACgAMAA0ADQALAAcAA//8//X/7f/l/93/1v/Q/83/y//M/8//1f/c/+X/7//6AAQADgAWAB4AJAAqAC4AMgA2ADoAPwBGAE0AVwBhAG0AeQCGAJIAngCnAK8AtQC3ALcAswCtAKQAmQCMAH4AcABgAFIARAA3ACsAIQAZABMAEAAPABAAEwAYACAAKQAzAD8ATABYAGQAcAB6AIIAiACMAI4AjgCLAIgAgwB9AHgAdABxAG8AcAByAHcAfgCHAJEAmwCmALEAugDDAMkAzgDRANIA0QDPAMwAyQDFAMEAvQC7ALkAuAC4ALkAuwC+AMEAxQDKAM8A1ADZAN4A5ADoAO0A8ADzAPUA9gD2APYA9ADyAPAA7gDtAO0A7QDwAPQA+QEBAQkBEwEdAScBMAE4AT8BRAFHAUgBSAFGAUQBQQE/AT0BPQE+AUEBRgFLAVEBVwFcAWEBZAFlAWUBYgFeAVkBUwFOAUkBRgFFAUcBSwFSAVoBZQFvAXoBhAGMAZEBkwGTAY8BiQGAAXUBagFeAVMBSQFAATgBMgEuASoBJwEkASEBHQEYARIBCwEDAPsA8wDrAOQA3gDaANcA1gDXANgA2wDdAOAA4wDlAOYA5gDlAOQA4gDfAN0A2wDYANcA1QDTANIA0ADOAMsAxwDBALsAswCrAKEAlwCMAIEAdgBsAGIAWQBRAEkAQwA+ADoANwA2ADcAOgA+AEQATABXAGMAcAB+AI0AnACqALgAxADPANcA3gDkAOgA6wDsAO4A7wDxAPMA9QD4APoA/AD8APwA+gD1AO8A5gDaAM0AvgCuAJ0AjQB9AG4AXwBTAEcAPQAzACkAIAAWAA0AAv/3/+v/4P/U/8n/v/+3/7D/qv+m/6P/of+e/5z/mf+U/43/g/94/2r/Wv9K/zn/KP8Z/wv/Af75/vX+8/71/vn+//8F/wv/EP8T/xT/Ev8M/wT++P7r/tz+zf69/q7+oP6T/on+f/54/nH+a/5l/l/+WP5P/kX+Ov4u/iD+Ev4E/ff96/3g/df9z/3K/cX9wv2//bz9uf21/bD9qf2g/Zb9i/1//XL9Zv1a/U/9Rf09/Tf9M/0x/TH9Mv00/Tj9PP1A/UX9S/1Q/Vb9XP1j/Wr9cv16/YL9iv2T/Zz9pf2u/bj9wv3N/dn95/32/gf+Gv4u/kX+Xf52/o/+p/6+/tL+4/7w/vj++/76/vP+6P7a/sj+tP6f/on+dP5f/kz+PP4t/iD+Fv4N/gb9//36/fb98v3u/ev96f3m/eT94/3h/eH93/3e/d392v3X/dL9zP3E/br9r/2j/ZX9h/15/Wr9XP1P/UL9N/0s/SP9G/0U/Q79CP0D/P/8+vz2/PL87vzr/Oj85fzj/OH84Pzg/OD84vzm/Or88Pz3/QD9Cv0W/SL9L/08/Un9Vf1g/Wr9cf13/Xr9ev15/XX9b/1p/WL9XP1W/VH9Tv1N/U39UP1V/Vv9Yv1q/XP9fP2F/Y79mP2i/a39uv3I/dj96/4A/hj+Mv5N/mr+hv6i/rz+1P7o/vj/BP8M/xD/EP8N/wn/A/79/vj+9f70/vb+/P8E/xD/Hv8u/0H/Vv9s/4P/m/+1/9H/7wAOADEAVgB9AKgA1QEDATIBYgGQAbwB5QIKAioCRAJaAmsCdgJ/AoQChwKKAo0CkgKaAqQCsgLEAtgC7wMIAyEDOgNTA2kDfAOMA5kDogOoA6sDrAOqA6gDpgOjA6IDogOjA6YDqwOwA7cDvgPGA84D1gPfA+cD8AP6BAQEEAQeBC4EQQRWBG4EiQSnBMcE6gUOBTQFWwWCBasF0wX7BiIGSgZxBpcGvQbjBwgHLQdSB3UHmAe6B9sH+wgZCDYIUghrCIQImgivCMII1AjlCPQJAgkOCRkJIwksCTQJPAlCCUgJTglUCVsJYglqCXMJfgmKCZcJpgm3CckJ3AnwCgUKGgowCkUKWwpwCoUKmwqwCsQK2QruCwILFwsrC0ALUwtnC3kLiwucC6sLugvHC9IL3AvkC+sL8Av1C/gL+gv8C/0L/wwCDAUMCgwQDBkMIwwwDD4MTwxiDHYMjAyhDLgMzgzjDPgNDA0eDS8NPg1NDVsNaQ12DYQNkg2gDbANwA3RDeMN9Q4IDhsOLw5DDlcOaw5/DpQOqQ6+DtQO6g8BDxgPLw9GD14PdQ+LD6EPtw/LD94P8RADEBQQJRA2EEYQVhBlEHUQgxCREJ0QqBCxELkQvhDCEMQQxBDDEMEQvhC6ELcQshCuEKgQoRCXEIoQeRBiEEQQIA/zD78Pgw8/DvUOpg5TDgANrg1fDRUM1AybDG4MSww1DCsMKww1DEgMYQx+DJwMuwzYDPENBQ0TDRoNHA0XDQ4NAAzxDOEM0gzHDMAMvgzEDNEM5g0DDScNUg2DDbgN7w4oDmAOlw7KDvkPJA9ID2cPgQ+VD6UPsQ+6D8EPyA/PD9YP3w/qD/gQBxAYECoQPRBPEGAQbxB7EIQQiBCJEIUQfhBzEGYQVxBGEDYQJxAZEA4QBhABD/8QARAFEAsQExAcECUQLBAzEDgQPBA9EGMQYhBgEFwQWRBVEFIQTxBOEE4QTxBREFQQWBBbEF4QXxBfEF4QWhBVEE4QRRA8EDIQKBAeEBUQDBAED/wP9A/sD+MP2g/OD8EPsQ+gD40Peg9mD1IPPw8tDx4PEQ8GDv0O9g7vDugO3w7TDsQOsA6XDnkOVA4rDfwNyg2WDWANKgz2DMUMlgxtDEcMJwwLC/ML3wvOC78LsgumC5oLjguDC3YLaQtcC04LQAsyCyQLFgsHCvgK6QraCsoKuQqnCpUKgQptClcKQQopChEJ+AneCcQJqQmNCXEJVQk4CRwI/wjjCMgIrAiSCHgIXwhHCDAIGggEB+4H2QfEB64HmQeEB28HWgdFBzAHHAcHBvQG4AbNBrsGqAaVBoMGcAZcBkgGNAYgBgsF9gXhBcwFuAWkBZEFfwVtBVwFSwU7BSsFGgUJBPgE5QTTBMAErQSZBIYEcwRhBE8EPwQvBCAEEgQEA/cD6gPcA84DvwOvA58DjQN8A2oDWANHAzUDJQMVAwcC+QLrAt8C0gLGArkCrAKeApACggJzAmMCVAJFAjYCKAIbAg8CBAH6AfIB6gHkAd0B2AHSAcsBxAG9AbQBqgGfAZIBhQF2AWcBVwFHATcBJgEXAQcA+ADrAN0A0QDFALoAsACmAJwAkwCLAIMAewB1AG8AagBnAGUAZQBmAGkAbQByAHgAfgCDAIgAiwCMAIsAhwB/AHUAaABXAEQALgAV//v/4P/E/6j/i/9v/1T/Ov8i/wv+9f7i/tD+wP6x/qX+mf6P/of+f/54/nH+av5j/l3+Vv5P/kf+QP44/jH+K/4l/iH+Hv4c/h3+IP4k/ir+Mv47/kT+Tv5X/mD+Z/5t/nD+cf5w/mz+Zf5d/lP+R/47/i7+Iv4W/gr+AP33/fD96f3k/d/93P3Z/db90/3Q/c79y/3I/cb9w/3B/b/9vf27/bn9t/21/bP9sP2s/aj9o/2e/Zj9kf2K/YP9fP11/W/9aP1j/V79Wf1V/VH9Tv1L/Uj9Rf1C/T/9PP04/TX9Mf0s/Sj9I/0e/Rn9E/0O/Qn9BP0A/P78/fz+/QH9B/0P/Rr9J/02/Ub9WP1r/X39j/2f/a79u/3G/c/91/3d/eL95/3s/fL9+v4C/gz+F/4i/i/+O/5G/lD+Wf5f/mP+Zf5l/mT+Yv5g/l/+YP5j/mr+dP6A/pD+o/63/sz+4f71/wb/FP8f/yb/Kf8o/yT/Hv8W/w7/Bv8A/vz++/7+/wT/Df8Z/yj/OP9J/1v/bP98/4v/mf+l/6//uP/A/8j/zv/V/9r/4P/l/+r/7f/w//L/8v/x/+//7P/p/+b/4//h/+D/4f/k/+n/8P/5AAMADgAZACMALQA1ADsAPwBAAEAAPwA8ADgANQAyADEAMQAzADcAPQBFAE0AVwBfAGcAbgByAHQAcwBvAGcAXgBSAEUANwApABwAEQAHAAD//P/6//wAAQAIABIAHQApADYAQwBQAFsAZQBtAHMAdwB6AHoAeQB3AHMAbwBqAGYAYgBeAFsAWgBaAFsAXgBiAGcAbQB0AHwAhACNAJUAnQClAKwAsgC4ALwAwADDAMUAxgDHAMcAxwDHAMYAxQDDAMIAwQDAAMAAwADBAMIAxQDIAMwA0QDWANsA4ADkAOgA6gDsAOwA6wDpAOYA5ADhAN8A3wDgAOMA6QDwAPoBBQERAR0BKQE1AT4BRgFLAU4BTgFNAUoBRgFBAT0BOgE4ATgBOQE8AUABRAFIAUsBTQFNAUwBSAFEAT4BNwExASwBKAEnASkBLgE1AT8BSwFXAWQBcQF7AYMBiAGKAYgBhAF9AXQBagFfAVUBSwFDAT0BOAE1ATIBMQEvAS0BKQElAR8BGAEPAQYA/ADxAOgA3gDWAM8AygDFAMIAwAC+AL4AvQC9AL0AvQC+AL8AwQDEAMcAywDPANMA1wDaANwA3QDbANcA0ADIALwArwCgAJAAgABwAGAAUQBEADgALgAmAB8AGQAUABEADwANAA0ADgARABUAGwAiACwAOABEAFIAYQBwAH8AjQCbAKcAsQC7AMMAyQDPANQA2ADcAN8A4gDkAOQA4gDeANgAzwDCALIAoACLAHQAXABEACwAFgAC//H/4v/X/8//yf/G/8T/w//D/8P/w//C/8D/vv+8/7r/t/+2/7T/s/+z/7L/sf+v/6v/pf+d/5P/hv92/2X/Uv8+/yv/GP8I/vr+8P7o/uX+5f7n/uz+8/76/wD/Bf8I/wn/B/8B/vn+7v7h/tP+xP62/qj+m/6P/oX+fP50/m3+Z/5g/ln+UP5H/jz+MP4j/hX+B/35/ez94P3W/c39xv3A/bz9uP21/bL9rv2p/aP9m/2S/Yj9fP1v/WP9Vv1K/T/9Nv0t/Sf9Iv0f/R39Hf0d/R/9Iv0l/Sr9L/02/T79R/1S/V39av13/YX9kv2g/a39uv3F/dD92v3k/e79+f4E/hD+Hv4u/j/+UP5j/nX+h/6W/qP+rP6y/rL+rv6l/pj+iP50/l/+SP4y/h3+Cv36/ez94P3Y/dL9zv3M/cr9yf3I/cb9xP3C/b/9u/24/bT9sP2t/ar9p/2k/aD9nf2Y/ZL9i/2C/Xj9bf1g/VL9RP02/Sf9Gf0L/P788vzm/Nz80vzK/ML8uvyz/K38qPyj/KD8nfyb/Jv8m/yc/J/8ofyl/Kj8rPyw/LT8ufy9/MP8yfzP/Nf83/zp/PP8/v0J/RT9Hv0n/S/9Nf05/Tv9O/05/Tf9NP0x/S79LP0s/S79Mv04/UD9Sv1V/WH9b/18/Yr9mP2n/bX9xf3V/eb9+f4N/iP+Ov5S/mv+hP6c/rP+yf7c/uz++f8C/wn/Df8P/xD/EP8P/xD/Ev8W/xv/JP8u/zv/Sv9b/2z/f/+T/6j/vf/U/+0ABwAjAEEAYgCGAKsA0gD7ASQBTAFzAZcBuAHUAewB/wINAhcCHQIgAiECIQIjAiYCLQI3AkYCWQJwAowCqwLMAu4DEAMxA1ADbAOFA5oDqwO4A8MDygPQA9UD2QPeA+MD6gPyA/wEBwQSBB4EKgQ1BD8ESARPBFUEWQRdBGEEZQRqBHEEewSIBJkErgTHBOQFBQUqBVIFfAWnBdQGAAYtBlkGgwatBtUG+wcgB0MHZQeGB6YHxAfiB/4IGAgyCEoIYAh0CIcImAinCLQIwAjKCNMI2wjiCOgI7gjzCPgI/AkBCQcJDQkTCRsJIwktCTcJRAlRCWAJcQmCCZUJqAm8CdEJ5gn8ChEKKAo+ClQKawqCCpkKsArHCt4K9QsLCyELNgtKC14LcAuCC5MLoguxC74LygvVC+AL6QvxC/gL/wwEDAkMDgwSDBcMHAwiDCkMMQw7DEcMVQxlDHYMiAycDLAMxQzaDO4NAQ0UDSYNOA1JDVkNag17DY0NoA2zDcgN3g30DgsOIw46DlEOaA5+DpQOqQ68DtAO4w71DwgPGw8uD0EPVQ9oD3wPkA+kD7cPyg/cD+4QABARECIQNBBGEFgQaxB/EJMQpxC8ENAQ4xD1EQURFBEgESsRNBE6EUARQxFGEUgRSBFHEUQRPxE4ESwRGhEDEOUQvxCREFoQGg/TD4UPMg7aDoIOKg3WDYYNPw0BDM4MpgyKDHsMdwx8DIsMnwy5DNQM8Q0LDSMNNg1FDU4NUg1SDU4NSA1BDTsNNg01DTkNQg1QDWYNgQ2iDckN9A4iDlMOhA62DuYPFQ9BD2kPjg+wD80P6A//EBMQJRA1EEMQURBeEGoQdRCBEIwQlhCgEKkQsRC4EL0QwBDAEL4QuhCzEKoQnxCSEIMQdBBlEFYQSBA8EDIQKhAlECMQJBAnECwQMxA8EEQQTBBUEFoQXxBiEKcQphCiEJwQlBCLEIIQeRBxEGsQZhBkEGQQZRBoEGsQbhBxEHIQchBwEG0QZxBgEFgQTxBGED0QNBAsECQQHBATEAoP/w/yD+IP0A+8D6UPjQ90D1wPRQ8wDx4PEA8HDwAO/g7+Dv4O/w7+DvkO7w7gDskOqg6EDlgOJQ3uDbQNeQ0/DQcM0wyjDHgMVAw0DBoMBQvzC+QL1wvLC78LsgulC5cLhwt3C2YLVQtECzILIQsQCv4K7QrbCskKtwqjCo8KeQpjCkwKNAobCgEJ6AnNCbMJmAl9CWIJRwksCREI9gjbCMEIpgiMCHIIWghBCCoIEwf+B+kH1AfAB60HmgeGB3MHYAdNBzoHJwcTBwAG7AbZBsUGsgaeBooGdgZhBkwGNwYhBgsF9AXeBccFsQWbBYUFcAVcBUcFMwUfBQwE+ATlBNIEvgSrBJgEhQRyBGAETwQ/BC8EIAQSBAUD+APrA94D0APCA7QDpQOVA4UDdANjA1MDQgMyAyIDFAMFAvcC6gLcAs4CwAKyAqICkwKCAnECXwJOAj0CLAIdAg8CAgH3Ae4B5gHgAdsB1gHSAc8BywHGAcABuQGxAacBmwGOAYABcAFfAU4BPAEqARkBBwD3AOgA2wDOAMQAugCyAKsApQCgAJsAlgCRAI0AiQCEAIAAfAB5AHYAdQB0AHUAdgB4AHoAfQB+AH8AfwB8AHcAcABmAFgASQA2ACEAC//y/9n/v/+k/4n/b/9V/zz/I/8L/vT+3f7I/rP+n/6N/nv+av5a/kv+Pf4v/iL+Fv4L/f/99P3p/d791P3K/cH9uP2x/av9p/2l/ab9qP2u/bX9v/3L/dj95/32/gT+Ev4e/ij+MP41/jf+Nv4y/iz+JP4a/hD+BP35/e794/3a/dH9yv3E/b79uf20/bD9rP2o/aT9oP2d/Zn9lv2U/ZL9kf2Q/ZD9j/2O/Y79jP2K/Yf9g/1+/Xj9cv1r/WX9Xv1Y/VL9TP1H/UP9P/07/Tb9Mv0t/Sf9If0a/RP9C/0D/Pv89Pzt/Of84vze/Nv82fzY/Nj82fza/N384fzm/Oz89Pz9/Qf9E/0g/S79PP1K/Vn9Zv1z/X79iP2R/Zf9nf2i/ab9q/2w/bb9vv3H/dP93/3u/f3+DP4c/ir+Nv5B/kn+T/5S/lP+U/5R/lD+UP5S/lb+XP5n/nT+hf6Y/q3+w/7Z/u//Af8S/x7/J/8r/yz/Kf8j/xv/Ev8I/wD++f71/vP+9f76/wL/DP8Y/yb/Nf9D/1L/X/9s/3f/gf+K/5L/mv+h/6f/rv+0/7v/wf/G/8v/z//T/9X/1//Y/9j/2P/Y/9j/2v/c/+D/5v/t//X//gAHABEAGgAhACgALAAvAC8ALQAqACYAIQAcABgAFAATABMAFQAZAB4AJQAsADMAOQA9AEAAQAA9ADcALwAlABoADgAD//n/8f/r/+n/6//w//kABQAUACQANABFAFQAYQBsAHQAeAB6AHgAdABuAGcAXgBXAE8ASQBEAEEAQABAAEIARQBIAE0AUQBWAFoAXgBjAGcAawBvAHQAeQB+AIQAiwCSAJkAoQCoAK8AtQC7AL8AwwDFAMYAxQDEAMEAvgC7ALgAtQCyALEAsQCyALQAtwC7AMAAxgDMANEA1gDaANwA3gDeAN0A3ADaANgA2ADYANoA3gDkAOwA9gEBAQ4BGwEoATUBPwFIAU8BUwFVAVQBUgFOAUoBRQFBAT4BOwE5ATkBOQE5AToBOgE5ATcBNAEwASsBJgEhAR0BGwEaARsBHgEkASwBNQE/AUkBUwFbAWIBZwFpAWgBZgFiAVwBVwFRAUwBRwFEAUIBQQFBAUIBQgFBAT8BOwE1AS0BIwEXAQkA+wDsAN0AzgDAALQAqACfAJYAjwCJAIQAgQCAAH8AgQCEAIkAjwCXAKEAqwC2AMAAygDRANYA1wDVANAAxgC5AKgAlgCBAG0AWABEADIAIwAWAAwABP/+//v/+P/3//b/9v/2//b/9//4//r//gAEAAsAFAAfACwAOgBKAFkAaAB4AIYAkwCeAKkAsgC6AMEAxwDMANAA0wDUANMAzwDIAL0ArwCdAIcAbQBRADQAFv/4/9z/wv+s/5r/jf+E/3//fv+B/4b/jf+V/53/pf+s/7L/t/+6/7z/vv++/73/vP+5/7X/sP+p/6D/lf+I/3j/Z/9V/0H/Lv8a/wn++f7r/uH+2v7W/tX+1/7b/uD+5v7s/vD+8/71/vP+8P7q/uL+2P7N/sL+tv6q/p/+lP6L/oL+e/50/m3+Zv5f/lf+Tv5E/jn+Lf4g/hP+Bf33/er93/3T/cr9wf26/bP9rf2n/aL9m/2V/Y39hP16/XD9Zf1Z/U79Q/04/S79Jv0e/Rf9Ev0O/Qv9Cf0H/Qf9Cf0L/Q/9Ff0d/Sf9M/1B/VH9Yv10/Yb9mf2q/br9yf3V/eD96f3x/fj9/v4E/gr+Ev4a/iT+Lv45/kP+TP5U/ln+W/5a/lT+Sv49/iz+Gf4E/fD92/3I/bj9q/2h/Zr9lv2V/Zb9mP2b/Z79n/2g/Z79m/2X/ZH9iv2D/Xz9df1v/Wr9Zf1h/V79Wv1X/VP9Tv1I/UH9Of0v/SX9G/0P/QT8+fzu/OP82PzN/ML8t/ys/KL8l/yM/IL8ePxw/Gn8ZPxh/GD8YPxj/Gf8bPxy/Hf8ffyC/Ib8ivyM/I78j/yQ/JL8lPyX/Jz8o/yr/LT8vvzJ/NP83vzo/PH8+f0A/Qb9C/0P/RT9GP0e/ST9LP01/UD9S/1Y/Wb9dP2C/ZD9nv2s/bn9xv3U/eL98P3//g/+IP4y/kX+WP5s/n/+kv6j/rP+wv7P/tv+5f7t/vX+/f8E/wz/FP8d/yj/M/8//0z/Wv9o/3f/hf+U/6L/sf/A/9D/4f/0AAgAHgA1AE4AaACEAJ8AuQDTAOsBAAESASIBLgE4AT8BRAFJAU0BUwFbAWYBdAGHAZ4BugHaAf0CIwJLAnQCnALEAuoDDQMuA0sDZAN7A44DoAOwA78DzQPbA+sD+wQLBB0EMARDBFYEZwR4BIcElASeBKYErASvBLEEswS1BLcEvATEBM8E3gTyBQoFJwVIBW0FlQW/BeoGFQZABmoGkga5Bt0G/gcdBzoHVgdvB4cHnge0B8kH3QfwCAEIEgghCC8IPAhHCFEIWQhhCGcIbQhzCHgIfgiECIoIkQiZCKIIrAi3CMIIzwjdCO0I/QkPCSIJNQlKCV8JdgmMCaQJvAnUCe0KBQofCjgKUgpsCoUKnwq5CtIK6wsDCxoLMQtGC1sLbguBC5MLpAu0C8QL0wviC/EL/gwLDBcMIgwsDDUMPAxCDEgMTQxRDFYMXAxiDGoMdAx/DI0MnAysDL0M0AzjDPYNCQ0cDS8NQQ1TDWYNeQ2MDaANtg3MDeQN/Q4XDjEOTA5mDoAOmQ6xDscO3A7wDwMPFA8lDzYPRg9XD2gPeQ+KD5wPrQ+/D9EP4g/zEAQQFRAnEDgQSxBeEHIQiBCfELcQ0BDqEQQRHhE3EU8RZRF5EYsRmxGoEbMRvBHCEcURxhHFEcARtxGqEZgRgRFjET8RExDgEKYQZBAdD9APgA8uDtwOjA5ADfoNug2EDVcNNA0bDQwNBg0IDRANHQ0uDUENVA1mDXYNhA2PDZgNng2iDaYNqQ2vDbYNwA3NDd8N9Q4PDi0OTg5yDpcOvQ7kDwkPLQ9QD3EPkA+tD8gP4g/7EBQQLRBFEF4QdhCOEKUQvBDREOQQ9BEBEQwRExEWERYRExENEQQQ+RDtEN8QzxDAELAQoBCQEIAQcRBkEFcQTBBEED0QORA4EDoQPhBFEE8QWxBnEHQQgRCNEJcQnxCkEOMQ5BDhENoQ0BDEELYQqBCbEI8QhhB/EHwQfBB+EIIQhxCMEJEQlRCWEJYQkhCNEIYQfRBzEGkQXxBWEEwQRBA7EDEQJhAaEAsP+Q/kD80Psw+YD30PYw9LDzcPJw8dDxgPGA8dDyUPLg83Dz0PPw87Dy4PGQ77DtQOpQ5uDjMN9Q21DXYNOg0DDNAMowx9DFwMQQwqDBYMBQv0C+UL1QvEC7ILnwuLC3cLYgtNCzgLJAsQCvwK6QrWCsIKrgqaCoQKbgpXCj8KJwoOCfUJ3AnDCaoJkQl5CWAJSAkvCRcI/QjjCMkIrwiTCHgIXghDCCkIEAf4B+EHywe2B6IHjwd8B2sHWQdIBzYHJAcSBwAG7gbbBsgGtQahBo0GeQZkBk8GOgYkBg4F9wXhBckFsgWaBYIFagVSBToFIgUKBPME2wTFBK4EmQSEBHAEXQRMBDsELAQdBBAEAwP2A+oD3gPSA8UDtwOpA5oDigN6A2oDWQNJAzkDKgMbAw0DAALyAuUC2ALKArsCrAKcAooCeAJmAlMCQAIuAh0CDgIAAfQB6gHiAdsB1gHSAc4BywHHAcIBvAG1AawBogGVAYgBeQFpAVgBRwE1ASMBEgECAPIA5ADYAM0AxAC9ALgAtQCzALMAswC0ALUAtQC1ALMAsQCsAKcAoACZAJEAiQCAAHgAcQBpAGMAXABVAE0ARQA8ADAAIwAVAAT/8v/e/8j/sv+b/4T/bv9Y/0L/Lf8a/wf+9f7j/tL+wv6x/qH+kf6A/nH+Yf5R/kH+Mv4j/hX+Bv34/ev93f3Q/cP9t/2r/Z/9lP2K/YD9ef1y/W79a/1r/W39cf14/YD9i/2W/aP9sP28/cj90/3b/eH95f3m/eX94P3a/dL9yP2+/bP9p/2c/ZL9iP1//Xf9cP1p/WT9Xv1a/Vb9U/1R/VD9T/1P/VD9Uf1T/Vb9WP1a/Vv9XP1c/Vv9Wf1X/VT9Uf1O/Uv9SP1H/UX9RP1E/UP9Qv1A/T39Of0y/Sv9If0X/Qv8//zz/Of83fzU/M38yPzF/MT8xfzI/Mz80fzW/Nv84fzn/O388vz5/P/9B/0O/Rf9IP0q/TX9P/1K/VT9Xf1m/W79df18/YP9if2Q/Zj9oP2q/bb9w/3R/eH98f4B/hL+If4w/j3+R/5Q/lj+Xf5h/mT+Zv5p/m3+c/56/oT+kP6e/q7+v/7R/uP+9P8E/xH/G/8i/yX/Jf8i/xz/FP8K/wH++P7w/ur+5/7n/ur+7/74/wL/Dv8a/yf/NP8//0r/U/9b/2H/Z/9s/3D/df96/3//hf+L/5L/mf+g/6f/rf+z/7f/u/+9/7//wf/C/8T/xv/J/83/0v/X/97/5f/t//T/+gAAAAQACAAJAAkACQAHAAUAAwABAAAAAAABAAQABwAKAA4AEgAVABYAFgATAA8ACQAB//n/8P/n/+H/3P/a/9z/4f/q//YABQAXACkAOwBMAFwAaABwAHUAdgB0AG4AZgBcAFIASAA/ADgAMwAxADEAMwA3ADwAQgBIAE4AUwBXAFoAXABeAF8AYABhAGQAZwBsAHIAeQCBAIoAlACeAKcAsAC4AL4AxADIAMsAzQDOAM4AzQDLAMoAyADGAMUAwwDDAMIAwwDEAMUAxwDKAM0A0ADTANUA1wDZANoA2gDaANkA2ADYANgA2gDdAOIA6ADxAPsBBgESAR4BKgE1AT8BRgFMAU8BTwFOAUsBRgFAATsBNQEwASsBJwEkASIBIQEgAR8BHgEcARsBGQEXARUBFAETARMBFAEXARoBHQEiASYBKwEvATIBNAE2ATYBNgE1ATUBNAE1ATUBNwE5ATwBPwFCAUQBRQFEAUEBOwE0ASkBHQEPAQAA7wDfAM4AvgCvAKEAlACIAH4AdQBtAGYAYgBfAF4AXwBjAGkAcQB8AIcAlACgAKsAtQC8AL8AvgC4AK4AnwCNAHcAYABIADAAGgAG//b/6v/h/93/2//d/+D/5f/q/+//8//3//r//P/+AAEABAAIAA4AFQAfACkANgBDAFEAXwBtAHkAhQCPAJgAoACmAKwAsQC1ALgAuQC5ALcAsgCrAJ8AkAB9AGYASwAvABH/8v/V/7n/oP+M/3v/cP9q/2j/av9w/3n/g/+O/5j/ov+r/7H/tv+5/7r/uf+2/7L/q/+j/5n/jf+A/3H/Yf9P/z3/K/8Z/wn++f7r/uD+1/7R/s7+zP7N/s/+0v7W/tn+3P7e/t7+3f7a/tb+0f7L/sT+vP60/q3+pf6e/pf+kP6J/oP+fP51/m7+Zv5d/lT+Sv4//jP+J/4a/g39//3y/eX92f3N/cL9t/2t/aT9m/2S/Yr9gf14/W/9Zf1b/VH9R/09/TP9Kf0g/Rf9D/0I/QL8/Pz3/PP88Pzu/O387fzw/PX8/P0F/RH9IP0x/UT9WP1t/YP9mP2s/b79z/3d/ej98f34/f3+Af4E/gf+Cv4N/hH+Ff4Y/hv+HP4c/hn+E/4K/f797/3d/cr9tf2g/Yz9ef1q/V39VP1P/U39T/1S/Vf9Xf1i/Wb9aP1p/Wb9Yv1b/VL9SP0+/TT9K/0i/Rv9Fv0S/Q/9Df0M/Qv9Cv0J/Qf9Bf0C/P/8+/z4/PT87/zq/OX83/zY/M/8xfy6/K38n/yP/ID8cPxi/FT8SfxA/Dr8N/w3/Dn8PfxD/Er8UfxX/Fz8YPxi/GP8Yvxg/F78XPxa/Fr8W/xe/GP8avxy/H38iPyV/KH8rvy7/Mf80vze/Oj88/z+/Qn9Ff0h/S39Ov1I/VX9Y/1x/X79iv2W/aH9q/21/b/9yP3R/dv95f3w/fv+CP4U/iL+MP4//k3+XP5r/nv+iv6Z/qn+uf7J/tn+6v76/wv/G/8r/zv/Sf9W/2L/bf92/37/hv+N/5P/mv+h/6n/sv+8/8f/0//h/+7//QALABkAJwA0AEAATABYAGMAbgB6AIcAlgCmALkAzwDnAQIBHwE/AWEBhAGpAc8B9QIbAkECZgKLAq4C0QLyAxIDMgNQA24DiwOnA8QD3wP7BBcEMgRNBGcEgASYBK4EwgTUBOME8AT7BQMFCgUQBRUFGgUgBScFMQU+BU4FYgV5BZMFsAXOBe4GDgYvBk4GawaHBqEGuAbNBuAG8gcCBxIHIQcvBz4HTAdbB2kHdweFB5MHnwesB7cHwgfMB9YH3wfpB/IH/AgHCBIIHQgpCDYIQwhRCGAIcAiBCJQIpwi8CNII6gkDCR4JOQlWCXQJkgmxCdAJ7woOCi0KSwpqCocKpQrBCt0K9wsRCykLQAtWC2wLfwuTC6ULuAvJC9sL7Av9DA4MHgwuDD0MSgxWDGEMagxxDHcMewx/DIIMhgyLDJEMmAyhDKwMugzJDNoM7Az+DRINJg05DU0NYQ10DYcNmw2vDcUN2w3yDgoOIw49DlcOcg6MDqUOvQ7VDuoO/w8SDyQPNQ9GD1YPZg93D4gPmQ+qD7wPzw/hD/MQBRAWECcQORBLEF0QbxCDEJgQrhDGEN8Q+hEWETIRTxFsEYgRoxG8EdMR6BH7EgoSFRIdEiISIRIdEhMSBBHvEdQRtBGNEWARLRD1ELkQeRA2D/EPrQ9qDyoO7g62DoUOWg42DhoOBA31DewN5w3nDeoN7w30DfoOAA4EDggOCw4NDg8OEg4WDhwOJQ4xDkEOVQ5tDokOqA7JDu0PEQ80D1cPeA+WD7EPyA/dD/AQABAPEB4QLRA9EE8QYxB5EJIQqxDGEOIQ/BEVESsRPhFMEVYRWhFaEVYRTBFAETERIBENEPoQ5xDVEMMQshCjEJQQhxB6EG8QZRBdEFcQUxBSEFQQWRBgEGsQeBCIEJgQqRC5EMgQ1BDdEPEQ9xD6EPgQ8hDpEN4Q0RDEELgQrRCmEKEQnxCgEKMQqBCuELMQtxC6ELkQthCwEKgQnRCREIQQdxBrEGAQVhBNEEQQOxAxECUQFxAGD/MP3A/DD6oPkQ95D2UPVQ9LD0cPSg9SD2APcA+CD5IPnw+mD6QPmg+ED2QPOg8GDssOig5FDf8Nuw15DTwNBQzUDKoMhQxmDEsMMwwdDAkL9AvgC8sLtQueC4cLcAtZC0MLLQsYCwMK7wrcCsgKtQqgCosKdQpfCkcKLwoWCf0J5AnMCbMJmwmECWwJVQk9CSUJDQjzCNgIvQigCIMIZghICCsIDwfzB9kHwAepB5QHgAdtB1wHSwc6ByoHGQcJBvcG5gbTBsAGrQaZBoQGbwZaBkUGLwYZBgMF7QXWBb8FqAWQBXcFXwVGBSwFEwT5BOAExgStBJUEfgRnBFIEPwQtBBwEDQP/A/ID5gPaA84DwwO2A6kDmwONA30DbQNdA0wDOwMqAxsDDAL9AvAC4gLWAskCvAKuAqACkAKAAm8CXQJLAjkCJwIXAggB+wHvAeYB3gHXAdIBzQHIAcMBvAG1AawBoQGVAYgBeQFpAVkBSQE4ASgBGQEKAPwA7wDkANkA0ADJAMMAvgC8ALsAuwC9AMAAwwDHAMkAywDKAMgAwwC8ALEApQCWAIUAcwBhAE4APAApABgAB//3/+f/1//H/7f/pv+V/4P/cP9c/0j/Nf8h/w/+/f7s/t3+z/7C/rb+rP6i/pn+kf6I/oD+d/5v/mX+XP5R/kf+PP4w/iX+Gf4N/gD99P3o/dz90P3E/bj9rf2h/Zb9jP2C/Xn9cP1o/WL9Xv1a/Vn9Wv1d/WH9Z/1u/Xb9fv2F/Yv9kP2U/ZX9k/2Q/Yr9gv15/W/9ZP1Y/U39Qv04/S79Jv0f/Rn9Ff0R/Q/9Dv0O/Q/9Ef0T/Rf9Gv0e/SL9Jv0p/Sv9Lf0u/S79Lf0t/Sz9LP0s/S79MP00/Tj9Pv1D/Un9Tf1Q/VH9UP1N/Uf9Pv00/Sj9G/0O/QL89/zt/OX84Pzd/Nz83Pze/OH84/zm/Oj86vzr/Oz87Pzs/O787/zy/Pf8/f0E/Q39GP0j/S79Ov1G/VL9Xf1o/XL9e/2E/Y79l/2h/az9t/3E/dH94P3v/f/+EP4g/jD+QP5P/lz+af5z/nz+hP6L/pD+lf6Z/p3+ov6n/q3+s/66/sL+yv7T/tv+4f7n/uv+7f7s/ur+5v7g/tr+0/7N/sj+xf7E/sb+yv7Q/tn+4/7v/vv/Bv8R/xv/I/8p/y7/Mf8z/zX/N/85/zz/Qf9I/1D/Wv9l/3D/fP+H/5L/m/+j/6j/rP+u/6//r/+u/63/rf+t/6//sv+3/73/xP/L/9P/2v/h/+f/7P/v//H/8f/x//D/7v/s/+r/6f/o/+f/5v/l/+T/4//h/97/2v/V/9H/zP/I/8b/xf/G/8r/0f/b/+j/9wAHABgAKQA4AEUAUABXAFwAXABaAFUATwBHAEAAOgA1ADIAMQAyADYAOwBBAEgATwBVAFoAXgBhAGIAYwBkAGQAZgBoAGsAcAB2AH0AhQCNAJYAnwCoALAAtwC9AMMAyADNANIA1gDbAOAA5QDqAO4A8gD1APYA9gD1APIA7gDpAOQA3wDaANUA0gDQAM8AzwDQANEA0gDUANUA1gDWANYA1QDWANYA2ADbAOAA5gDuAPgBAgENARcBIQEpAS8BMwE0ATQBMAErASUBHgEXARABCwEGAQMBAQEAAQABAgEDAQUBBgEIAQgBCQEJAQkBCAEIAQcBBwEHAQcBCAEIAQkBCgEMAQ0BDwERARQBFwEbAR8BIwEnASsBLgEwATIBMQEvASoBJAEcARMBCAD9APEA5gDaAM8AxQC8ALMAqwCkAJ0AlgCQAIsAhgCDAIEAgQCCAIYAjACTAJsAowCrALEAtQC2ALMAqwCfAI4AegBiAEgALgAU//z/6P/X/8z/xf/D/8b/zP/V/+H/7f/5AAQADgAVABsAHwAiACQAJwApAC0AMgA4AEAASQBTAF0AZgBwAHgAfwCFAIkAjACPAJEAkgCTAJMAkwCRAI4AiQCBAHYAaABXAEMALAAU//r/4f/I/7L/nv+P/4T/ff96/3v/gP+G/4//mP+h/6j/r/+0/7b/tv+0/6//qP+f/5T/iP96/2r/Wf9H/zX/I/8R/wD+8P7j/tj+0P7K/sj+x/7J/sz+0P7V/tj+2/7c/tz+2f7W/tD+yv7E/r3+tv6w/qv+pv6i/p7+m/6Y/pT+j/6J/oP+e/5y/mn+Xv5T/kf+O/4v/iP+Fv4K/f398f3k/dj9zP3A/bX9qf2e/ZT9iv2A/Xb9bf1j/Vr9UP1H/T39M/0p/R/9Ff0M/QP8+vzy/Ov85Pze/Nn81vzU/NP81PzY/N385fzw/P39DP0e/TH9Rv1c/XL9iP2d/bH9w/3U/eL97v35/gH+CP4O/hL+Fv4Y/hn+Gv4Y/hX+D/4H/f397/3f/cv9tv2f/Yb9bv1W/UD9LP0b/Q79BPz+/Pv8/Pz+/QL9Bv0K/Q39Dv0N/Qr9Bfz+/PX86/zh/Nb8zfzE/L38uPy1/LP8s/y0/Lf8uvy+/ML8xvzL/ND81fzZ/N784vzl/Ob85/zl/OH82vzQ/MP8tPyj/JD8fPxo/FT8Qvwz/Cb8HfwX/BT8FPwW/Bv8IPwm/Cv8L/wy/DP8Mvwx/C78Kvwn/CT8Ivwh/CL8Jvwr/DL8O/xF/FH8Xvxr/Hj8hfyT/KD8rPy5/Mb80/zg/O38+/0J/Rf9Jf00/UL9UP1d/Wn9df2A/Yr9k/2b/aL9qf2w/bb9vf3E/cz91P3e/en99v4E/hP+JP43/kv+Yf53/o7+pv6+/tX+6/8B/xT/Jv82/0T/T/9X/17/Yv9l/2f/aP9p/2r/a/9t/3H/dv98/4X/j/+a/6f/tv/G/9j/6///ABQAKgBBAFkAcQCJAKAAuADPAOYA/AERASYBOwFRAWgBgAGZAbYB1QH3AhsCQwJtApkCxgL0AyIDUAN8A6cD0AP2BBsEPgRfBH8EngS7BNgE8wUOBScFPgVUBWYFdwWFBZAFmQWhBacFrQWyBbkFwQXKBdUF4gXxBgEGEgYjBjQGRAZTBmAGawZ1Bn4GhQaMBpIGmQagBqkGsga8BsgG1AbhBu8G/gcNBxwHKwc6B0oHWgdqB3oHiwebB6wHvAfNB90H7Qf9CA4IHwgxCEUIWghxCIoIpQjDCOMJBQkpCU4JdAmbCcIJ6AoOCjMKVgp5CpkKuQrXCvMLDgsnC0ALVgtsC4ELlAunC7kLywvcC+0L/QwNDB0MLQw8DEoMVwxjDG0Mdgx+DIQMiQyODJIMlwydDKQMrAy3DMMM0gzjDPUNCA0cDTENRw1cDXENhg2aDa8NxA3ZDe4OBQ4bDjMOSw5jDnsOkw6qDsEO1g7rDv4PEA8hDzIPQg9TD2MPdQ+HD5oPrQ/BD9UP6g/+EBIQJRA4EEsQXBBuEIAQkhClELgQzRDkEPwRFREwEUwRaRGGEaMRvxHbEfUSDRIiEjQSQhJMElESUBJKEj0SKhIQEfARyhGeEW0RORECEMkQkBBXECEP7g/AD5YPcQ9SDzkPJA8UDwkPAQ77DvcO9A7xDu4O6g7lDt4O1w7PDscOvw64DrIOrw6uDrIOuQ7EDtQO6Q8BDx0PPA9dD38PoQ/DD+MQABAaEDEQRRBVEGIQbhB4EIIQjBCXEKQQshDDENYQ6hEAERYRKxE+EU8RXRFnEW0RbxFtEWgRXxFUEUcROhEsER8REhEGEPoQ7xDlENoQ0BDFELkQrRCiEJcQjBCEEH0QehB5EH0QhBCOEJsQqhC7EMsQ2hDnEOEQ7RD2EPwQ/hD9EPgQ8hDpEOAQ1xDPEMkQxBDCEMMQxRDIEMsQzRDOEM0QyRDCELgQrBCeEI8QgBBxEGMQVxBNEEQQPBA0ECwQIxAXEAkP+Q/mD9EPvA+oD5YPiA+AD30PgQ+LD5sPsA/HD94P8hABEAkQBw/7D+IPvg+OD1QPEg7LDoAONQ3rDaUNYw0oDPQMxgyeDHwMXgxDDCoMEwv8C+ULzQu2C54LhgtuC1cLQQssCxgLBArxCt4Kywq3CqIKjAp1Cl0KQwopCg4J8wnYCb4JpAmKCXEJWAk/CSYJDQj0CNkIvgiiCIUIZwhJCCsIDgfxB9YHvAejB4wHdwdkB1IHQAcwBx8HDwb/Bu0G2wbIBrUGoAaKBnQGXQZGBi4GFwX/BecF0AW5BaIFiwV0BV0FRgUuBRYE/gTmBM0EtASbBIIEagRSBDwEJwQTBAAD7wPgA9IDxQO5A64DogOWA4kDfANuA14DTgM+AywDGwMKAvoC6gLbAswCvwKxAqQClwKJAnsCbAJdAk0CPAIsAhsCDAH9AfAB5AHZAdAByAHAAbgBsAGoAZ4BkgGFAXcBaAFYAUcBNwEoARkBDAEBAPgA8ADqAOQA4ADcANgA1ADRAM0AygDHAMQAwgDAAL4AvQC8ALkAtgCxAKoAoACTAIQAcQBcAEUALAAT//j/3v/F/63/lf9//2r/Vv9E/zH/IP8P/v3+7f7c/sz+vP6u/qD+k/6I/n3+dP5s/mb+YP5b/lf+U/5Q/k3+Sv5G/kP+P/46/jX+MP4p/iL+Gv4S/gn+AP34/e/95v3e/db9zv3G/b79tf2s/aL9mP2O/YP9eP1t/WT9W/1U/U/9TP1K/Uv9TP1O/VH9VP1W/Vf9Vv1U/VH9TP1G/T79Nv0u/SX9Hf0W/Q/9Cv0F/QL9APz+/P78//0B/QP9Bv0K/Q39Ef0V/Rj9G/0d/R79H/0f/R79Hf0b/Rv9G/0c/R/9I/0o/S/9N/0//Uf9Tv1T/Vf9WP1X/VT9Tv1F/Tz9Mf0m/Rv9EP0H/QD8+fz0/PH87vzs/Or86Pzl/OL83/zc/Nj81fzT/NL80/zV/Nn83/zn/PD8+v0G/RH9Hf0p/TT9P/1J/VP9XP1l/W79d/2B/Yv9lv2h/a79vP3L/dv97P3//hH+Jf44/kz+Xv5v/n7+jP6W/p7+o/6m/qb+pP6g/pv+l/6T/o/+jf6M/oz+jv6Q/pP+lv6Y/pr+m/6a/pn+l/6V/pP+kv6S/pT+mP6f/qf+sf69/sn+1v7h/uv+9P77/wD/A/8E/wX/Bv8H/wn/Dv8U/x3/KP81/0T/Vf9l/3X/hP+R/5v/o/+n/6n/qP+l/6H/nP+Y/5T/kv+S/5P/l/+d/6X/rf+2/7//x//O/9P/1//Y/9f/1f/R/8z/xv/B/7v/tv+x/67/q/+o/6f/pf+l/6X/pf+n/6n/rf+z/7r/wv/M/9j/5f/y//8ADAAXACEAKQAvADIAMwAzADEALwAsACoAKQApACoALgAyADgAPwBGAEwAUgBXAFwAXwBhAGMAZQBnAGoAbgBzAHkAgQCJAJIAmgCiAKkArwCzALYAuAC5ALoAvAC+AMIAxwDPANcA4gDsAPcBAQEJAQ4BEQERAQ0BBgD9APIA5wDbANAAxwDAALsAuQC5ALsAvgDCAMYAyQDKAMsAygDIAMUAwwDBAMAAwQDEAMkA0ADYAOIA7AD2AP8BBgELAQ4BDgEMAQgBAwD9APcA8gDtAOoA6QDoAOoA7ADvAPIA9QD3APoA+wD8APwA/AD8APsA+wD7APwA/QD+AQABAgEEAQcBCQEMAQ4BEQETARUBFgEXARgBGAEWARQBEQENAQgBAwD9APYA8ADrAOYA4gDeANwA2gDZANcA1gDVANMA0QDOAMsAyADFAMIAwAC/AMAAwQDDAMYAyQDLAMsAyADDALoArQCdAIkAcgBaAEAAKAAR//z/7P/h/9v/2v/e/+f/8wACABIAIwAyAEAASwBUAFoAXgBfAF8AXwBeAF0AXgBfAGIAZQBpAG0AcQB0AHcAeQB6AHoAeQB3AHUAcgBwAG0AagBmAGEAWgBSAEcAOgArABoAB//z/9//zP+6/6v/n/+W/5H/j/+R/5b/nP+j/6v/sv+3/7v/vP+7/7j/sv+p/5//kv+E/3T/Y/9R/z3/Kv8W/wP+8f7g/tL+x/6+/rn+uP66/r7+xf7M/tX+3P7h/uX+5v7k/uD+2v7R/sj+v/61/q3+p/6i/p7+nP6b/pr+mf6X/pT+j/6I/oD+dv5r/l/+Uv5F/jj+K/4f/hP+CP38/fH95v3a/c/9w/24/az9of2V/Yv9gf13/W79ZP1c/VP9Sf1A/Tb9K/0g/RX9Cfz+/PP86Pze/NX8zfzH/ML8vvy9/L38v/zD/Mn80fzb/Of89P0E/RX9KP08/VD9Zf17/ZD9pv27/c/94v30/gX+Ff4i/i3+Nv47/j7+Pv45/jH+Jv4W/gP97f3U/bn9nP1+/WD9Qv0l/Qr88fzb/Mj8uPyr/KH8mvyW/JP8kvyR/JH8kPyO/Iz8iPyD/H38dvxv/Gj8Yfxc/Ff8VPxT/FT8V/xb/GH8aPxw/Hn8g/yN/Jf8ofyr/LT8vfzE/Mn8zfzO/Mz8yPzA/LX8p/yW/IT8b/xa/EX8MPwe/A37/vvy++r75Pvg+9/74Pvh++P75Pvm++b75vvl++P74fve+9v72fvY+9j72vvd++L76Pvw+/n8A/wO/Br8Jvwy/D78SvxW/GL8b/x8/In8l/ym/Lb8x/zY/Ov8/f0P/SL9M/1D/VL9YP1r/XX9fv2E/Yr9j/2U/Zj9nf2i/an9sv28/cj91/3n/fr+D/4m/j7+WP5y/o3+qP7C/tr+8v8H/xn/Kv83/0L/S/9R/1b/Wv9c/1//Yv9m/2v/cv97/4f/lf+m/7r/0P/qAAUAJABEAGYAiQCsAM8A8AEQAS0BRgFcAW0BegGDAYgBiwGMAY4BkAGVAZ8BrgHDAd4CAQIqAlkCjQLEAv0DNwNwA6cD3AQNBDoEZASLBLAE0wT1BRYFNgVXBXcFlgW0BdAF6gX/BhIGIAYqBjEGNQY3BjgGOAY5BjoGPQZCBkgGUAZYBmEGaQZwBnUGeQZ6BnoGeAZ1BnIGbwZrBmoGaQZqBmwGcQZ4BoAGigaVBqMGsgbCBtQG5wb8BxEHKAc/B1YHbQeEB5oHrwfDB9cH6wf/CBQIKghCCFwIeQiZCLwI4QkICTIJXAmHCbIJ3AoFCi0KUgp2CpgKuArXCvQLDwspC0ILWgtwC4YLmguuC8AL0gviC/IMAQwQDB0MKgw3DEMMTgxYDGIMawxzDHsMggyKDJIMmgykDK8MuwzJDNkM6gz9DRENJg07DVANZg18DZENpg27DdEN5g37DhEOKA4+DlUOaw6BDpcOqw6/DtIO4w7zDwMPEQ8gDy8PPg9PD2APcw+ID54PtQ/MD+QP/BATECkQPxBSEGUQdhCHEJcQphC2EMcQ2BDrEP8RFREtEUYRYBF7EZYRsRHNEecR/xIVEigSNxJCEkgSSRJDEjcSJRIMEe4RyhGiEXcRSxEeEPEQxxCgEH0QXxBFEDEQIRAVEA0QBxACD/8P+w/3D/EP6Q/gD9UPyQ+7D60Pnw+QD4MPdw9sD2QPXw9cD1wPYA9oD3IPgQ+TD6gPwA/aD/YQExAwEE4QahCFEJ0QtBDIENoQ6RD3EQMRDREXESERKhE0ET0RRxFQEVkRYRFoEW0RcRFyEXERbxFrEWURXxFZEVMRTRFJEUURQhE/ET0ROxE3ETIRLBEjERgRChD7EOoQ2RDHELcQqBCdEJUQkRCREJUQnRCpELYQxRDTEN0Q6hD2EQERCREPEREREBEMEQYQ/xD2EO4Q5xDhEN0Q2xDaENoQ2xDbENsQ2BDTEMsQwBCzEKQQkxCCEHEQYhBUEEgQPhA1ECwQJRAcEBIQBg/4D+kP2A/ID7kPrA+jD58PoQ+qD7gPyw/iD/sQEhAmEDQQORA1ECUQCA/gD6wPbw8qDuAOkw5GDfsNtA1yDTUNAAzRDKcMgwxjDEYMKwwSC/kL4AvHC68Llgt+C2YLUAs6CyULEAr8CukK1QrACqoKkwp6CmAKRQooCgoJ7AnNCa8JkQl0CVgJPgkkCQsI8gjaCMIIqQiQCHcIXAhCCCcIDAfyB9gHvwenB5AHewdnB1QHQgcxByAHDwb+BuwG2QbFBrEGmwaDBmsGUgY4Bh4GAwXpBc8FtQWcBYQFbQVWBUAFKgUUBP4E6ATSBLsEpASMBHQEWwRDBCsEFAP+A+oD1wPGA7YDqAObA48DgwN4A2wDXwNSA0MDNAMjAxIDAQLvAt4CzQK8AqwCnQKOAoACcQJjAlQCRQI2AiYCFgIGAfcB6AHZAcwBvwGzAagBnQGRAYYBeQFrAVwBSwE6ASgBFgEFAPUA5wDcANUA0ADPANEA1ADaAOAA5gDqAO0A7gDsAOcA4ADXAM0AwQC1AKkAnACQAIQAeABrAF0ATgA9ACoAFv///+f/zv+z/5n/fv9k/0v/M/8c/wf+8/7g/s/+v/6v/qH+k/6H/nv+cf5n/l7+Vv5P/kn+Q/49/jj+M/4u/ir+Jv4i/h7+G/4Z/hb+FP4R/g7+C/4H/gP9/v34/fP97f3n/eL93f3Z/dX90v3P/cz9yP3D/b79tv2u/aT9mP2M/X/9c/1m/Vv9Uv1K/UP9P/08/Tr9OP04/Tf9Nv00/TL9MP0t/Sr9J/0k/SH9H/0e/R39Hf0d/R79IP0h/SP9Jf0n/Sn9LP0u/TD9Mv00/Tb9N/03/Tf9Nv00/TH9L/0s/Sr9KP0n/Sf9KP0r/S79Mv02/Tr9Pv1A/UD9P/08/Tf9MP0o/R79Ff0K/QH89/zv/Of84Pza/NX80PzM/Mf8w/y//Lv8uPy1/LT8s/y1/Lj8vPzC/Mr80vza/OL86vzx/Pf8/P0A/QT9Bv0J/Q39Ef0W/R39Jf0v/Tr9R/1W/WX9dv2H/Zr9rf3C/df97f4D/hn+L/5E/lf+aP53/oL+if6N/o3+if6D/nv+cv5o/l/+V/5R/k3+TP5M/k7+Uv5W/lr+Xv5g/mL+Y/5j/mP+Y/5k/mb+a/5x/nn+g/6P/p3+q/64/sX+0f7a/uL+5/7r/u3+7v7v/vH+9P75/wD/Cf8V/yP/M/9E/1X/Zv91/4L/jf+U/5j/mf+X/5L/jf+G/3//ef91/3P/c/91/3r/gf+J/5L/m/+k/6v/sf+1/7b/tf+z/67/qP+h/5r/k/+N/4f/g/+B/4D/gP+D/4b/i/+R/5j/oP+p/7L/vP/H/9H/2//l/+7/9//9AAMACAALAA0ADQAOAA4ADgAOABAAEgAWABsAIAAnAC0ANAA6AEAARQBJAE0AUABTAFYAWgBeAGQAbAB0AH4AiACSAJwApACrAK8AsQCxAK8AqwCmAKEAnACaAJkAmwChAKgAswC+AMsA1wDjAOsA8QDzAPIA7QDmANsA0ADEALkArwCnAKIAoAChAKQAqACtALIAtwC5ALsAugC3ALMArwCqAKYAowCiAKQApwCtALUAvgDIANEA2gDhAOcA6gDrAOsA6gDnAOQA4gDgAN4A3gDfAOAA4wDlAOcA6QDrAO0A7QDuAO8A8ADxAPMA9gD5AP4BAwEHAQwBEQEVARgBGQEaARoBGAEWARIBDgEKAQUBAQD8APcA8gDuAOkA5QDiAN8A3ADaANoA2gDaANwA3QDfAOEA4wDkAOUA5ADjAOEA3wDdANsA2QDYANcA1wDYANgA2ADXANUA0QDLAMIAtgCoAJgAhwB1AGMAUgBDADcALwAqACoALwA3AEIAUABgAHAAfwCOAJoApACrAK4ArwCuAKsApwCiAJwAlwCTAI8AjACJAIcAhACBAH4AewB3AHIAbQBoAGIAXQBXAFEASwBFAD0ANQArAB8AEQAC//H/4P/O/73/rv+h/5f/j/+L/4v/jf+S/5j/oP+n/63/sf+0/7T/sf+s/6T/mf+N/3//b/9e/0v/OP8k/xD++/7o/tX+xP61/qn+of6c/pv+nv6k/q3+t/7C/sz+1f7b/t/+3/7c/tb+zf7E/rn+r/6m/p/+mv6W/pX+lf6V/pX+lf6T/pD+i/6E/nz+cv5n/lz+UP5F/jr+MP4m/hz+Ev4H/fz98P3j/db9yP26/az9nv2R/YX9ev1w/Wb9Xf1V/Uz9Qv04/S79Iv0V/Qj8+/zt/OD80/zI/L78tfyu/Kn8pvyl/KX8qPys/LH8uPzB/Mv81vzj/PH9Af0T/Sb9Ov1R/Wn9g/2e/br91v3z/g7+KP4//lP+Yv5s/nD+b/5n/lr+R/4v/hL98v3Q/az9h/1h/T39Gfz3/Nf8uPyc/IP8bPxX/EX8Nvwq/B/8GPwS/A78C/wJ/Af8BvwE/AP8APv++/v7+fv3+/b79vv4+/v8AfwI/BH8G/wm/DL8PvxK/Fb8Yfxr/HP8evx//IL8hPyD/ID8evxz/Gn8XfxP/ED8L/we/Az7+vvo+9j7yPu6+677pPua+5P7jfuI+4T7gft/+3z7evt5+3f7dft0+3P7c/tz+3T7dvt5+337gvuJ+5H7mvuj+677uPvE+8/72/vn+/P8APwO/B38Lfw+/FH8Zfx6/JH8qPy//Nf87f0C/Rb9KP04/UX9UP1a/WH9aP1t/XL9dv17/YH9h/2O/Zb9oP2s/br9yf3b/e7+BP4c/jX+T/5r/ob+ov68/tb+7v8D/xf/KP83/0T/UP9c/2b/cv9+/4v/mv+s/8D/1//wAA0ALABPAHMAmwDEAPABHAFJAXUBoAHIAe0CDQImAjoCRgJKAkgCPwIyAiECDwH/AfEB6QHoAe8CAQIcAkICcAKlAuADHwNfA6AD3gQZBFEEhASyBN4FBgUsBVAFdAWYBbsF3gYABiAGPgZZBnAGgwaRBpsGoQakBqYGpwaoBqoGrgazBrsGxAbOBtgG4gbpBu8G8QbwBusG4wbZBs0GvwawBqEGkwaHBnwGcgZrBmYGYwZkBmYGbAZ1BoEGkQajBrkG0QbsBwgHJQdCB2AHfAeYB7IHywfjB/oIEggqCEQIXwh9CJwIvgjiCQgJLwlYCYAJqAnPCfUKGgo/CmEKgwqkCsQK4wsCCyALPQtZC3QLjQulC7wL0QvkC/UMBQwTDCAMLAw3DEIMTAxWDF8MaQxzDH0MiAyTDKAMrQy8DMsM3AzuDQENFA0oDT0NUQ1mDXoNjg2hDbQNxw3aDe0OAQ4VDikOPg5SDmcOew6PDqIOsw7DDtIO3w7sDvgPBA8QDx0PLA89D08PZQ98D5UPsA/LD+cQAhAcEDQQSxBeEHAQgBCNEJoQpRCxELwQyRDXEOYQ+BELER8RNhFOEWYRgBGZEbIRyRHeEfESARIMEhMSFRISEgkR+xHoEdERtxGbEX4RYhFIETARGxELEP8Q9xDyEPEQ8RDyEPIQ8hDuEOgQ3xDTEMMQsRCdEIgQcxBfEEwQOxAsECAQFxAQEAsQCRAJEAsQDxAVEBwQJhAxEEAQUBBjEHkQkBCpEMQQ4BD7ERYRMBFIEV4RchGCEZARmhGiEacRqhGrEaoRqRGlEaERnRGXEZERixGFEX8ReRFzEW8RaxFoEWYRZhFnEWkRaxFuEXARchFyEXERbRFnEV4RUxFFETURIxEQEP0Q6hDZEMoQvhC2ELEQsBC0ELoQxBDQEPEQ+hEEEQ4RFxEfESYRKREpESYRIBEYEQ8RBhD9EPYQ8RDuEO0Q7hDwEPIQ8xDzEO8Q6BDeENEQwBCtEJkQhBBwEF4QThBAEDQQKRAgEBYQDBABD/QP5g/XD8gPuQ+tD6UPoQ+iD6kPtQ/GD9oP7hACEBIQHBAfEBcQBQ/oD8APjg9TDxEOyw6CDjkN8Q2tDW4NMwz+DM4MpAx9DFsMOwwcDAAL5AvJC68LlQt7C2MLSwszCx0LBwryCtwKxgqwCpgKfwpkCkcKKQoKCekJyAmnCYYJZwlICSsJDwj2CN0IxwixCJwIhwhzCF4ISQg0CB4ICAfyB9wHxgexB5wHhwdzB2AHTQc6BygHFQcDBvAG3AbIBrIGnAaEBmwGUgY3BhwGAAXkBckFrQWSBXgFXwVHBTAFGgUFBO8E2gTEBK4EmASABGgEUAQ4BCAECAPyA90DyQO3A6YDlwOKA30DcQNlA1kDTQM/AzEDIgMRAwAC7gLcAsoCuAKnApYChQJ0AmQCVAJEAjQCIwITAgIB8QHhAdEBwQGyAaMBlQGIAXoBbQFeAU8BPwEuARsBCAD1AOIA0ADBALQArACnAKcArAC1AMEAzwDfAO4A+wEGAQwBDgEKAQIA9ADiAM0AtQCbAIEAZwBPADcAIAAL//f/5P/R/77/q/+X/4P/bv9Z/0T/L/8a/wb+8/7g/s7+vv6u/p/+kf6E/nn+bv5l/l7+WP5S/k7+Sv5G/kP+P/46/jX+Lv4o/iD+Gf4R/gr+A/39/fj98/3v/ev96P3k/d/92/3W/dD9y/3G/cH9vP25/bf9tf21/bT9s/2y/bD9rP2n/aD9mP2O/YP9d/1s/WH9V/1O/Uf9Qf08/Tj9Nf0y/TD9Lv0s/Sr9Kf0n/Sf9J/0n/Sn9LP0v/TL9Nv07/T79Qv1F/Uj9Sv1L/Uz9Tf1O/U79Tv1O/U79Tf1M/Ur9SP1F/UL9Pv06/Tb9Mv0v/Sz9Kv0n/SX9JP0h/R/9G/0X/RH9C/0D/Pr88Pzm/Nv80fzI/L78tvyv/Kj8o/yd/Jn8lPyQ/Iz8ifyG/IX8hPyF/Ij8jfyT/Jv8pPyt/Lf8wPzH/M380PzQ/M/8y/zF/L/8ufy0/LD8r/yx/Lb8vvzK/Nj86fz7/Q/9I/03/Uz9YP1z/Yf9m/2v/cL91v3q/fz+Df4d/ir+NP47/j/+P/49/jj+Mv4r/iX+H/4b/hj+GP4a/h7+Iv4o/i3+Mv42/jj+Ov47/jv+O/48/j7+Qf5H/lD+Wv5n/nX+hP6U/qT+sv6//sn+0v7Y/tz+3/7g/uH+4v7k/uj+7f70/v3/CP8U/yH/L/88/0n/VP9d/2T/aP9p/2j/Zv9i/13/WP9T/1D/T/9P/1H/Vf9c/2P/a/90/3z/g/+K/47/kf+S/5H/jv+L/4b/gf98/3f/c/9x/3D/cf90/3j/fv+F/47/l/+i/6z/tv/B/8v/1P/c/+P/6f/u//L/9f/3//n/+v/8//3//wACAAUACQAOABMAGQAfACQAKQAuADIANgA5ADwAPwBBAEUASgBPAFYAXgBoAHIAfACGAI8AlwCdAKEAogCgAJwAlgCPAIcAfwB4AHMAcABwAHIAdwB+AIcAkQCbAKUArQCzALcAuAC3ALMArgCoAKIAnACXAJMAkQCQAJEAlACXAJoAnQCgAKEAogChAJ8AnACaAJcAlQCVAJUAlwCbAJ8ApQCqALAAtgC6AL4AwQDDAMQAxQDGAMcAyADLAM0A0QDUANcA2gDcAN0A3gDdAN0A3ADbANsA3ADfAOMA6ADvAPcBAAEIARABFgEaAR0BHQEbARcBEQELAQMA+wD0AO0A5wDhAN0A2QDWANQA0gDQAM8AzgDMAMsAygDKAMkAyQDIAMgAyADHAMcAxwDGAMYAxQDFAMUAxQDFAMYAxwDIAMkAyQDJAMgAxgDDAL4AuQCyAKsApACdAJYAkACMAIoAiQCLAJAAlwCfAKoAtQDBAM0A2ADjAOsA8gD2APkA+QD3APQA7wDpAOMA3ADVAM4AxgC/ALcArwCnAJ4AlQCMAIIAeABuAGUAWwBSAEkAQAA3AC0AIgAWAAj/+v/q/9n/yP+3/6f/mf+N/4P/fP95/3j/ef98/4D/hf+I/4v/i/+J/4T/ff90/2j/W/9M/zv/Kv8Y/wb+8/7f/sz+uf6n/pb+h/56/nH+a/5p/mv+cf55/oT+kf6d/qn+sv65/r3+vf66/rX+rf6k/pv+k/6M/ob+g/6C/oL+g/6F/of+iP6H/ob+g/5//nr+df5v/mn+Y/5d/lf+UP5J/kD+Nv4q/hz+DP36/ef90/3A/a39m/2K/Xv9bv1i/Vj9T/1F/Tz9Mv0n/Rv9D/0B/PP85fzX/Mn8vPyw/Kb8nfyW/JD8jPyK/Ir8i/yO/JL8mPyf/Kj8sfy9/Mr82fzr/P79FP0t/Uj9Z/2I/av90P31/hn+PP5b/nX+if6W/pv+l/6K/nb+Wv43/hD95v25/Yv9Xv0y/Qj84fy8/Jn8efxb/D/8JvwO+/n75vvV+8j7vfu0+677q/up+6j7p/uo+6f7p/um+6T7o/ui+6H7ofuj+6f7rfu0+777yPvU++D76/v2/AD8CPwO/BP8FfwV/BT8EfwM/Af8APv4++/75vvb+9D7xfu5+6z7n/uR+4T7dvto+1v7TvtC+zb7LPsi+xn7EvsL+wb7Avr/+vz6+/r7+vv6+/r9+v/7AvsG+wr7EPsX+x77J/sw+zv7RvtS+177a/t4+4b7lful+7b7yfvd+/P8Cvwj/Dz8Vfxv/Ij8n/y1/Mn82/zr/Pn9Bf0R/Rv9JP0t/Tb9P/1H/VD9Wf1h/Wr9cv16/YP9jf2Y/aX9tP3G/dr98f4L/ib+Q/5h/n7+m/63/tL+6/8C/xf/LP9A/1P/aP99/5T/rf/I/+QAAwAkAEYAawCRALgA4QEMATgBZgGVAcQB9AIiAk4CdgKZArYCywLXAtoC1ALFArAClQJ3AlkCPQInAhkCFgIeAjICUgJ+ArQC8QM0A3oDwQQGBEcEhAS8BO8FHQVHBW4FkwW2BdkF+wYcBjwGWgZ2Bo8GpQa3BsUG0AbZBuAG5wbuBvYHAAcMBxkHKQc5B0kHVwdkB2wHcQdyB24HZQdZB0oHOAclBxEG/QboBtUGwgawBqAGkQaEBnoGcgZtBmwGcAZ5BoYGmQavBsoG6AcJByoHTQduB44HrQfKB+UH/ggXCC4IRgheCHgIkwivCM0I7QkOCTAJVAl4CZwJwQnnCgwKMgpYCn8KpQrLCvELFgs6C10LfgudC7kL0wvqC/8MEgwjDDIMPwxLDFcMYgxtDHgMgwyPDJwMqQy4DMgM2QzqDP4NEQ0lDToNTw1jDXcNiQ2bDawNvA3LDdoN6A32DgQOEw4iDjMOQw5VDmYOdw6JDpkOqA61DsIOzQ7YDuEO6w72DwIPEA8gDzIPSA9gD3sPlw+0D9IP7hAKECMQOhBOEF8QbRB5EIQQjRCVEJ4QpxCyEL8QzRDeEPERBhEdETURTRFmEX4RlRGqEb0RzBHYEd8R4RHgEdoR0BHDEbURphGXEYoRgBF6EXgRexGDEY4RnBGrEboRxxHREdYR1hHQEcMRsRGaEX4RYBFBESIRBRDrENQQwhC0EKoQpRCjEKQQphCrELAQtxC+EMYQ0BDaEOYQ9REFERgRLBFDEVsRdBGNEaYRvRHSEeUR9BIAEggSDBINEgsSBhH/EfYR7BHiEdcRzBHCEbkRsBGpEaMRnhGaEZcRlRGUEZQRlBGVEZYRlxGYEZkRmRGYEZYRkxGPEYoRgxF7EXERZhFZEUwRPREvESAREREEEPkQ8BDqEOcQ6BDrERQRFBEXERwRIxEqETERNhE4ETgRNBEuESYRHREUEQwRBhEDEQMRBREKEQ8RFREZERsRGRESEQcQ9xDjEMwQsxCaEIEQahBWEEUQNxAqECAQFRALD/8P8Q/iD9EPwA+vD58Pkg+JD4QPhA+KD5MPnw+tD7oPxA/KD8kPwA+uD5MPbw9CDw4O1Q6XDlcOFg3WDZgNXQ0lDPEMwgyWDG0MRwwkDAML5AvGC6kLjQtzC1kLQAsoCxEK+QriCsoKsgqYCn4KYgpECiUKBQnjCcEJnwl+CV0JPQkfCQII5wjOCLcIoQiNCHkIZghUCEIIMAgfCA0H+wfpB9cHxQezB6AHjQd6B2cHUwc/BysHFgcBBuwG1gbABqoGkwZ8BmUGTQY0BhoGAAXmBcsFsAWVBXsFYQVIBTAFGQUBBOoE1AS9BKYEjwR3BF8ERwQvBBcEAAPqA9YDwwOxA6ADkQODA3UDaANbA00DPwMwAyEDEQMAAu8C3gLMArsCqQKYAocCdQJkAlICQAIuAhsCCAH1AeMB0AG+Aa0BnQGOAX8BcQFkAVYBSAE6ASsBGgEJAPcA5QDTAMEAsgCmAJ0AmQCZAJ4AqAC2AMYA2QDrAP0BCwEWARoBGQEQAQEA6wDQALEAjgBqAEUAIf/+/97/wP+l/47/eP9l/1P/Qv8z/yT/Ff8H/vn+7P7f/tL+xf65/q3+of6V/or+gP52/m3+Zv5g/lv+V/5V/lP+Uv5R/k/+TP5J/kP+PP4z/ir+H/4V/gr+AP33/e795/3h/dv91v3R/cz9xv2//bj9sf2q/aP9nP2W/ZH9jf2K/Yj9hf2D/YH9ff15/XT9bv1n/V/9WP1R/Ur9Rf1A/Tz9Of03/TX9M/0x/S/9Lf0q/Sj9Jf0j/SL9If0i/SP9Jv0p/S39Mf01/Tj9O/0+/UD9Qf1B/UH9Qf1A/T/9Pf08/Tr9OP01/TL9Lv0q/SX9IP0b/Rb9Ef0N/Qn9BP0A/Pz8+Pzz/O785/zg/Nf8zvzE/Lr8sPym/Jz8lPyM/IX8gPx7/Hf8c/xw/G38afxm/GP8YPxd/Fv8Wvxa/Fz8X/xk/Gr8cfx5/IH8h/yM/JD8kfyP/Iv8hfx+/Hb8b/xp/GX8Zfxo/G78efyG/Jb8qfy8/ND84/z1/QX9Ff0i/S/9O/1H/VL9Xv1r/Xf9hP2R/Zz9p/2w/bj9vf3B/cP9xP3F/cb9x/3J/c390v3Y/d/95v3u/fX9+/4A/gT+B/4J/gr+C/4O/hH+Ff4c/iX+MP49/kv+Wv5q/nn+iP6V/qH+q/6z/rn+vf7A/sH+wv7D/sT+xv7J/s3+0v7Z/uH+6v7z/vz/Bv8P/xf/Hv8j/yf/Kv8s/yz/LP8s/yv/K/8s/y3/MP8z/zj/Pf9E/0r/Uf9X/13/Y/9n/2r/bf9u/27/bv9t/2v/av9p/2n/af9r/27/cv93/37/hv+O/5f/of+q/7T/vf/F/83/1f/b/+L/5//t//L/9//8AAEABgALAA8AFAAYABwAHwAiACUAJwApACsALAAuAC8AMQA0ADcAOgA+AEMASQBPAFYAXQBlAGwAcgB4AH0AgACBAIEAfwB8AHcAcQBrAGUAXwBaAFYAVQBVAFcAWwBhAGgAcAB5AIEAiACNAJEAlACUAJIAjgCKAIUAfwB6AHUAcQBvAG0AbQBvAHEAdAB4AH0AgQCGAIoAjgCSAJUAmACaAJsAmwCaAJkAlwCUAJIAjwCOAI0AjgCQAJQAmgCgAKgAsAC4AL8AxQDJAMsAzADLAMkAxgDEAMIAwwDFAMkAzwDXAOAA6QDyAPoBAQEFAQYBBQEBAPsA9ADsAOQA3ADVAM8AygDHAMYAxQDFAMUAxQDFAMQAwwDBAL4AuwC4ALQAsQCuAKsAqQCoAKcApwCoAKkAqwCtAK8AsQCzALUAtgC4ALkAuQC5ALkAuAC3ALcAtwC3ALgAuQC7AL0AwQDEAMkAzQDSANgA3QDjAOgA7gD0APkA/wEEAQkBDgESARYBGQEbARwBHQEdARsBGQEWAREBCwEEAPwA8gDmANoAzAC9AK4AnwCPAIAAcgBkAFYASgA9ADEAJQAZAAv//f/v/9//0P/A/7H/ov+V/4r/gf96/3T/cP9s/2n/Zv9h/1v/U/9K/z7/MP8h/xD+/v7s/tr+x/61/qP+kf6A/m/+YP5R/kT+Of4w/iv+Kf4q/i/+OP5D/lD+Xf5r/nj+gv6K/o/+kP6O/or+hP58/nX+b/5p/mb+ZP5l/mb+af5t/nD+dP53/nn+e/58/n7+f/5//oD+gP5//n3+ef5y/mn+XP5L/jj+Iv4K/fH91/2+/af9kv1//W/9YP1U/Un9P/01/Sv9IP0V/Qj8+/zt/N/80fzE/Lf8q/yg/Jb8jfyE/H38d/xy/G/8bfxt/G/8c/x5/IH8i/yX/KX8tvzI/N389f0P/S39T/1z/Zr9xP3u/hj+Qf5l/oT+m/6q/q7+qf6Y/n7+W/4w/gD9zP2X/WH9Lvz9/ND8p/yC/GH8Q/wo/BD7+vvm+9T7xPu2+6r7oPuZ+5P7jvuL+4j7hfuC+3/7evt1+2/7aPti+1z7WPtW+1X7V/ta+1/7Zvtt+3X7fPuC+4f7ivuM+4z7jPuJ+4b7g/t++3r7dftw+2r7ZPte+1b7TvtF+zv7MPsl+xj7C/r++vD64vrV+sj6u/qw+qX6nPqU+o76ifqG+oT6g/qD+oT6hvqJ+oz6j/qU+pn6oPqn+q/6uPrD+s762vrm+vT7AvsQ+yD7MPtC+1X7avuA+5j7sfvL++X7//wY/DD8RfxZ/Gn8ePyF/JH8nPyn/LP8v/zN/Nv86vz6/Qn9GP0l/TH9O/1D/Uv9Uf1Y/WD9av13/Yb9mf2v/cj94/3//h3+Ov5W/nH+i/6j/rv+0v7p/wH/Gv82/1P/c/+U/7f/3AABACYASwBwAJQAuADcAQEBJwFPAXgBpAHQAf4CKwJWAn0CnwK6AswC1gLVAssCuAKgAoMCZQJJAjICJAIhAikCPwJjApICzAMPA1cDoQPrBDMEdgS0BOsFGwVFBWsFjQWsBcoF6AYFBiIGPgZaBnQGjAahBrQGxAbSBt4G6Qb0Bv8HDAcZBygHOAdJB1gHZwd0B30HhAeHB4YHgwd8B3QHagdfB1MHRwc7By4HIQcSBwIG8gbgBs4GvAarBp0GkgaLBooGjwaaBqsGwgbeBv0HHwdDB2YHiQepB8gH5Qf/CBcILghECFoIcAiHCKAIuwjZCPgJGQk9CWIJigmzCd0KCAo0CmEKjQq5CuQLDgs3C10LggukC8ML4Av6DBIMJww7DE0MXQxsDHoMiAyVDKMMsAy+DMwM2wzrDPwNDg0gDTQNSA1cDXANhA2XDakNuQ3IDdUN4Q3sDfUN/g4HDhAOGQ4kDi8OPA5KDlkOaA54DocOlg6kDrAOuw7FDs8O1w7gDuoO9Q8CDxIPJA85D1APag+FD6EPvQ/ZD/MQDBAiEDUQRxBWEGMQbxB6EIYQkhCgEK8QwBDTEOgQ/hEWES8RSRFiEXsRkhGnEbkRxxHREdcR2RHXEdERyBG+EbQRqxGkEaIRpBGtEbsRzxHnEgMSIRI+ElkScBKAEokSiRKBEnASWBI6EhgR9BHPEasRixFvEVgRRhE5ETIRLxEwETQROhFBEUoRUxFeEWkRdRGDEZERohG0EccR2xHwEgUSGRIrEjwSShJVEl0SYRJiEl8SWRJREkYSOxIuEiESFRIJEf8R9RHtEecR4hHeEdwR2xHaEdoR2hHaEdoR2hHZEdcR1RHSEc4RyhHGEcIRvhG6EbcRtBGxEa0RqhGlEZ8RlxGNEYERdBFlEVURRRE3ESoRHxEYEUgRPxE6ETgROhE8EUARQxFEEUQRQRE7ETQRKxEiERoRFBERERERFBEbESQRLRE2ETwRPxE8ETQRJxEUEP0Q4hDHEKsQkBB4EGQQUhBEEDcQLRAiEBcQCQ/6D+gP0w++D6gPkw9/D28PYw9cD1gPWA9bD2APZA9mD2YPYA9UD0IPKQ8JDuMOtw6HDlQOHg3nDbANeQ1EDREM4AyyDIYMXAw1DBAL7QvMC60LjwtzC1gLPQskCwoK8QrXCrwKoAqDCmUKRgomCgQJ4gnACZ4JfQldCT4JIQkFCOsI0gi6CKMIjQh3CGIITQg5CCYIEwgBB/AH4AfQB8EHsgejB5QHhAdzB2AHTAc3ByAHCAbwBtcGvgamBo4GdgZfBkkGMgYdBgYF8AXZBcIFqwWTBXsFYwVLBTMFGgUCBOoE0gS5BKAEhwRuBFUEPAQkBAwD9gPgA8wDuQOoA5cDiAN4A2kDWgNKAzsDKgMaAwoC+QLpAtgCyQK5AqoCmgKKAnoCaQJWAkMCLwIaAgQB7gHYAcMBrwGdAYsBfAFtAWABVAFIAT0BMQEkARYBCAD4AOgA2ADJALsArgClAJ8AnACeAKQArQC5AMcA1gDkAPAA+AD8APoA8QDiAM0AsQCQAGwARAAc//P/zP+n/4X/Zv9L/zP/Hv8M/vz+7v7h/tb+zP7D/rr+sv6q/qP+nP6V/o7+iP6B/nr+c/5s/mb+Yf5c/ln+Vv5U/lT+U/5T/lL+UP5M/kf+Qf44/i/+JP4Z/g7+A/35/fD96P3g/dn90/3M/cX9vv21/az9o/2Z/Y/9hv19/XT9bf1m/WD9Wv1U/U/9Sf1D/Tz9Nv0w/Sr9JP0g/R39G/0a/Rv9G/0d/R79Hv0e/R39G/0Y/RX9Ef0N/Qr9B/0F/QT9BP0E/QX9Bv0H/Qj9Cf0K/Qr9Cv0K/Qn9Cf0H/Qb9BP0C/P78+vz1/PD86vzj/Nz81fzP/Mn8xPy//Lv8uPy2/LP8sfyu/Kv8pvyh/Jz8lvyP/In8gvx9/Hf8c/xv/Gz8avxo/Gf8Zfxj/GD8XfxY/FP8TfxG/D/8OPwx/Cv8Jvwi/CD8IPwh/CP8J/wq/C78Mvw1/Df8Ofw6/Dv8PPw+/EH8RfxM/FT8X/xs/Hn8iPyW/KT8sPy7/MT8y/zQ/NX82Pzb/N784vzn/O789fz9/Qb9D/0Z/SH9Kv0y/Tn9QP1I/U/9WP1h/Wv9dv2B/Y39mP2j/a39t/2+/cX9yv3P/dT92P3d/eL96f3x/fr+Bf4Q/hz+Kf42/kL+Tv5a/mT+bv52/n3+hP6J/o7+kv6V/pj+m/6e/qH+pP6o/q3+sv63/r3+xP7L/tL+2f7g/ub+7P7y/vj+/P8B/wT/CP8K/w3/D/8R/xT/Fv8Z/xz/H/8j/yj/Lf8y/zj/Pv9E/0n/Tv9S/1b/WP9b/1z/Xv9f/2H/Y/9m/2n/bv9z/3n/gP+H/4//mP+h/6r/s/+9/8f/0f/b/+b/8P/5AAIACgARABYAGgAcAB4AHgAeAB0AHAAbABsAHAAdAB8AIQAkACcAKQAsAC8AMQAzADQANwA5ADwAQABFAEoAUABWAF0AYgBmAGkAagBqAGcAYwBdAFcAUQBMAEgARwBHAEsAUABYAGEAagBzAHsAgACDAIMAfwB5AHAAZQBZAE4ARAA7ADUAMwAzADcAPgBHAFMAXwBrAHcAggCLAJEAlgCXAJYAkgCMAIUAfABzAGsAYwBdAFkAWABaAF8AZwBwAHwAhwCTAJ4AqACvALQAtgC3ALUAswCxAK8ArgCvALIAtgC8AMQAywDTANkA3gDgAOEA3wDbANYA0ADJAMIAvAC4ALQAsgCxALEAsgCzALQAtQC1ALUAswCxAK8ArACqAKcApACiAKEAoACgAKEAowClAKcAqgCtAK8AsgC0ALUAtgC2ALUAtACyALEAsACwALAAsgC1ALkAvgDFAMsA0gDZAN8A5QDqAO0A7wDwAPEA8QDxAPEA8gDzAPYA+QD+AQQBCwETARsBIwEqATIBOAE8AT8BPwE9ATgBMAEmARkBCQD4AOUA0QC8AKgAlACCAHAAYABRAEQAOAAsACAAFQAJ//3/8f/k/9f/yv++/7H/pv+a/4//hP94/2z/X/9R/0D/Lv8a/wX+7v7X/r/+p/6R/nv+Zv5T/kH+Mf4j/hX+Cv4A/fj98f3u/e397v3z/fv+Bf4S/iD+Lv49/kr+Vf5d/mP+Zf5l/mL+Xv5Y/lP+Tv5J/kf+Rv5H/kr+Tv5S/lj+Xv5l/mv+cv55/n/+hv6L/pD+lP6V/pP+jv6F/nj+Z/5S/jr+IP4E/ej9zf20/Z39iP12/Wf9Wv1O/UP9OP0s/SH9FP0G/Pj86vzc/M/8wvy2/Kv8ofyX/I78hPx7/HL8afxg/Fn8VPxQ/E/8UfxW/F78afx1/IX8lvyp/L781vzw/Q39Lv1T/Xr9pf3S/f/+K/5T/nf+kv6l/qz+qP6Y/n3+V/4p/fX9vP2D/Un9E/zg/LL8ivxo/Er8Mfwd/Av7/Pvv++T72vvR+8n7wvu7+7X7rvun+5/7lvuM+4H7dPtm+1f7Sfs7+y/7JPsb+xT7D/sM+wr7CfsI+wf7BfsD+wD6/fr6+vb68/rx+vD68Prw+vH68vry+vH67/rs+ub63vrV+sr6vvqw+qL6k/qE+nb6aPpb+k76Qvo4+i76Jvof+hr6FvoU+hP6E/oU+hb6Gfod+iH6Jvos+jP6O/pE+k/6Wvpm+nP6gPqO+pz6qvq5+sn62frr+v77Evsp+0H7Wvt0+4/7qPvA+9b76fv6/Aj8E/wd/CX8Lvw4/EP8Ufxh/HP8hvyb/K/8wvzT/OL87fz2/P39Av0G/Qv9Ev0b/Sf9Nv1J/V39dP2M/aT9u/3R/eb9+f4L/h3+L/5D/lj+cf6M/qz+zv7y/xn/QP9o/47/sv/U//QAEgAtAEgAZACAAJ4AvwDjAQoBNAFgAYsBtgHeAgECHQIxAj4CQgJAAjcCKwIeAhMCDQIPAhoCMQJTAoECugL7A0IDjAPWBB4EYQSeBNQFAgUpBUsFZwWBBZoFsgXKBeQF/wYaBjUGUAZpBn8GkwalBrQGwAbKBtMG3AbkBu0G9Qb9BwYHDQcUBxoHHwcjByYHKQcsBzAHNQc6B0EHSAdOB1QHVwdYB1QHTAdABzAHGwcFBu4G1wbDBrMGqAakBqgGswbEBt0G+gcbBz8HZAeIB6wHzQfsCAkIIwg8CFQIbAiECJ4IuQjXCPcJGglACWkJkwnACe4KHApLCnoKpwrUCv8LKAtPC3QLlwu4C9YL8wwNDCYMPgxUDGkMfQyQDKEMsgzCDNIM4QzvDP4NDQ0cDSwNPA1ODV8NcQ2EDZYNqA25DcgN1g3jDe4N+A4ADgcODQ4TDhkOHw4nDjAOOg5GDlMOYg5xDoAOkA6eDqwOuA7DDswO1Q7cDuQO7A71DwAPDQ8dDzAPRg9eD3gPkw+wD8wP6BADEBwQNBBLEGAQdRCIEJwQsBDEENkQ7xEHER4RNxFQEWkRghGaEbARxRHXEeUR8RH4EfsR+hH1Ee0R4xHYEc0RxRHAEcERxxHUEecSARIfEkESZBKFEqMSvBLNEtYS1hLNErsSoxKGEmYSRBIjEgUR6hHUEcQRuBGyEbARshG3Eb4RxxHSEd0R6hH3EgYSFhInEjkSSxJfEnEShBKUEqMSsBK5Er8SwRLAErwStBKqEp4SkRKCEnQSZhJZEk0SQhI5EjISLBIoEiUSIhIhEiASIBIgEiESIRIhEiESIRIfEh0SGxIXEhISDhIIEgMR/RH5EfUR8hHvEe4R7BHrEegR5BHeEdURyhG8EawRmhGHEXQRYxFUEZgRihF/EXYRbxFqEWYRYhFdEVgRUBFIET4RMxEpESARGhEXERgRHREmETERPRFKEVURXBFeEVsRUhFDES8RFhD7EN8QxBCqEJMQfxBuEGAQUxBIEDsQLhAeEAwP9w/gD8gPrw+WD38Paw9ZD0sPQA84DzEPKw8lDx4PFA8HDvcO4g7JDqwOig5lDj0OEg3mDbcNiA1ZDSkM+gzMDJ8MdAxKDCEL+wvWC7MLkQtxC1ILNAsWCvgK2gq8Cp0KfgpdCjwKGgn4CdYJtQmUCXUJVwk7CSAJBwjwCNkIwwisCJYIfwhnCE8INwgfCAcH8QfcB8kHuAepB5wHkAeEB3gHawdcB0sHOAciBwoG8AbVBrkGnQaCBmgGTwY4BiIGDQX5BeYF0gW/BasFlwWDBW4FWAVDBSwFFgT+BOcEzgS1BJwEgQRnBEwEMgQYBAAD6APSA70DqgOXA4YDdQNlA1QDQwMxAyADDgL9AuwC3ALNAr8CsgKlApkCjAJ+Am8CXgJLAjYCHwIIAe8B1gG+AacBkwGAAW8BYQFVAUoBQAE2ASwBIQEVAQgA+gDrANwAzgDAALQAqwCkAJ8AngCfAKMAqQCvALYAvADBAMIAwAC6AK8AnwCJAHAAUQAwAA3/6P/D/5//ff9d/0D/Jv8P/vv+6v7b/s3+wf63/q3+pP6c/pX+j/6J/oX+gP59/nn+dv5y/m7+av5l/mH+XP5Y/lT+Uf5O/kz+Sv5J/kf+Rf5B/j3+N/4x/in+IP4X/g3+BP37/fL96v3h/dn90f3J/cD9tv2s/aH9lv2L/YD9df1r/WL9Wf1Q/Uj9QP05/TD9KP0f/Rb9Dv0F/P78+Pzz/O/87fzt/O387vzv/PD88fzx/PD87fzq/Of84vze/Nr81vzT/ND8zfzL/Mn8x/zG/MT8wvzB/MD8vvy+/L38vPy8/Lr8ufy2/LL8rfyn/KD8mPyP/If8f/x3/HH8a/xn/GX8Y/xj/GP8Y/xk/GT8Zfxk/GT8Y/xi/GL8Yfxh/GH8Yfxh/GH8YPxg/F78XPxZ/FT8TvxH/D78NPwp/Bz8D/wB+/T75/vc+9P7y/vH+8b7yPvM+9T73fvo+/P7//wL/Bb8H/wo/DD8OPw+/EX8S/xR/Fj8Xvxk/Gr8b/xz/Hf8efx7/Hz8ffx//ID8g/yH/Iv8kfyY/KD8qPyw/Ln8wvzL/NX83/zp/PT9Af0O/Rz9Kv05/Uf9Vv1j/XD9e/2G/Y/9l/2f/aX9rP2z/br9wv3K/dL92v3j/ez99P39/gX+Dv4W/h7+Jv4v/jf+QP5I/lD+WP5g/mf+bv50/nn+fv6D/oj+jP6Q/pT+mP6c/qH+pf6q/rD+tf68/sL+yf7Q/tb+3f7j/uj+7P7w/vL+9P71/vX+9v73/vn+/P8A/wb/Df8U/x3/Jv8u/zb/Pv9F/0r/T/9S/1X/V/9a/1z/Xv9h/2X/af9t/3P/ef+A/4f/kP+Z/6T/r/+7/8f/1P/f/+r/8//6//8AAgADAAIAAP/9//r/+P/4//j/+///AAUADAASABkAHgAiACQAJAAjACAAHQAaABgAGAAaAB4AJAAtADcAQgBNAFcAXwBlAGgAaABlAGAAWgBTAE0ASQBGAEcASgBRAFkAYwBtAHYAfgCCAIQAggB8AHIAZwBaAE0AQQA2AC8AKwAqAC0ANAA9AEcAUwBfAGsAdAB8AIIAhQCFAIMAfgB4AHAAZwBeAFUATQBHAEMAQQBCAEYATQBWAGAAbAB4AIQAjgCXAJ4AowClAKYApgClAKQApACkAKUAqACrAK8AtAC4ALsAvQC+AL4AvAC5ALYAsQCtAKkApQCiAKAAngCdAJwAnACbAJsAmgCaAJkAmQCYAJgAmACZAJkAmgCbAJ0AnwCgAKIAowClAKcAqACqAKsArACsAKwArACrAKoAqACmAKUApACkAKUApwCrAK8AtQC7AMEAyADPANQA2ADcAN0A3gDdANwA2QDXANUA1ADUANUA1wDcAOIA6gD0AP8BCwEXASQBMAE6AUMBSgFOAU8BTAFGATsBLgEdAQkA9ADeAMcAsACbAIcAdABkAFYASgA/ADYALQAlABwAFAALAAH/9//r/+D/0//F/7f/p/+W/4P/b/9Y/z//Jf8J/uv+zf6u/pD+dP5Y/j/+Kf4V/gT99v3q/eD92P3S/c39yv3J/cn9zP3Q/df93/3p/fT+AP4M/hj+Iv4q/jD+NP42/jX+M/4w/iz+KP4l/iP+I/4k/if+K/4x/jn+Qf5K/lT+Xv5p/nP+ff6G/oz+kP6R/o7+h/57/mv+WP5A/if+DP3x/db9vv2n/ZP9gv1z/WX9Wf1N/UD9M/0l/Rb9Bvz1/OX81fzH/Ln8rvyk/Jv8k/yL/IL8efxv/GX8WvxP/Eb8Pvw4/Db8N/w7/EL8TPxZ/Gj8ePyK/J38svzJ/OT9Av0l/Uv9df2j/dL+Af4t/lX+df6M/pj+mP6L/nL+T/4i/e/9uP1//Ub9Efzg/LX8kPxx/Fj8RPw1/Cr8Ifwa/BT8D/wK/AX7//v4+/D75vva+8z7vPuq+5b7gfts+1j7RPsy+yL7FPsI+v/69vru+ub63frT+sj6vPqv+qL6lfqK+oH6evp2+nX6d/p7+oD6hfqK+oz6jPqJ+oP6evpv+mH6UvpD+jP6I/oU+gf5+vnv+eT52/nT+cz5xvnB+bz5ufm3+bb5t/m4+br5vvnC+cj5zvnW+d756Pn0+gD6Dvoc+iv6O/pK+ln6aPp2+oX6lPqk+rb6yfre+vX7Dfsn+0H7Wvty+4f7mfup+7T7vvvF+8v70vvZ++P78Pv//BH8JPw5/E38YPxx/H/8ifyR/Jb8mfyc/J/8pPyr/LT8wPzO/N787vz//Q79HP0o/TL9O/1E/Uz9Vv1j/XP9h/2f/bz93P3//iT+Sv5w/pX+t/7X/vT/Dv8l/zv/UP9k/3r/kf+r/8j/6QANADQAXQCGAK8A1wD7ARsBNwFOAWEBcAF9AYsBmwGuAcgB6gITAkYCgALBAwYDTwOXA94EIARcBJEEvwTlBQYFIgU7BVIFaAWABZgFswXPBesGCAYjBj0GVAZoBngGhAaOBpUGmQabBp0GnQaeBp4GnwagBqIGpAapBq8GuAbEBtIG4wb4Bw4HJgc+B1QHaAd4B4IHhgeDB3kHaAdSBzgHGwb/BuUGzwa/BrcGtga+Bs4G5gcDByYHTAd0B5wHwwfoCAsIKwhKCGYIgQicCLgI1Qj0CRUJOQlgCYkJtQniChAKPwpuCpsKxwrxCxoLQAtkC4YLpwvGC+QMAAwcDDcMUgxrDIQMmwyxDMYM2QzqDPsNCg0ZDScNNQ1DDVENYA1vDX8NkA2gDbENwg3SDeEN7g37DgYOEA4YDiAOJg4tDjMOOQ5ADkgOUQ5bDmYOcg5/Do0Omw6pDrYOww7ODtkO4w7sDvQO/g8HDxMPIA8wD0MPWQ9xD4wPqA/GD+UQBBAjEEEQXxB7EJcQshDNEOcRAREbETURTxFoEYARmBGvEcQR2BHrEfsSCRIVEh4SJBImEiYSIhIbEhESBxH7EfER6BHjEeMR6RH0EgUSGxI2ElMScBKMEqUSuBLEEsoSxxK9Eq4SmhKCEmoSUxI+EiwSHxIXEhMSFBIZEiESKxI3EkQSUhJhEnASgBKREqMStRLHEtgS6hL5EwcTEhMaEx8TIBMeExgTEBMEEvcS6RLaEsoSvBKuEqISlxKNEoYSfxJ6EnYSchJuEmsSaBJkEmESXhJbElgSVhJUElQSVBJUElQSVBJTElISTxJLEkcSQRI7EjUSLxIqEiYSIxIgEh0SGxIXEhISCxICEfcR6RHaEckRuBGnEfcR5xHYEckRuxGtEaARlBGHEXoRbhFgEVMRRxE8ETQRLhEsES4RNBE+EUsRWRFoEXURfxGFEYYRgRF1EWQRThE1ERoQ/hDkEMoQtBCgEI4QfxBwEGIQUxBDEDIQHhAID/EP2Q/BD6kPkQ98D2gPVQ9EDzQPJQ8WDwYO9Q7jDs8OuQ6gDoUOaA5IDiYOAQ3bDbINhw1cDS8NAgzUDKcMeQxNDCIL9wvOC6YLfwtZCzQLDwrsCsgKpQqCCmAKPQobCfkJ2Am3CZgJeQldCUIJKQkSCPwI6AjVCMIIrgiaCIQIbAhTCDkIHggCB+cHzge3B6IHkAeBB3QHaQdfB1UHSQc8BywHGQcDBusG0Aa1BpgGfAZhBkcGLwYYBgMF8AXdBcoFuAWlBZIFfwVrBVcFQwUuBRoFBQTwBNoEwwSrBJMEeQRfBEQEKQQOA/QD2wPEA64DmQOGA3QDYQNQAz4DLAMZAwcC9QLkAtMCxAK3AqoCnwKVAosCgAJ0AmYCVQJBAisCEwH6AeABxgGuAZcBgwFxAWMBVgFMAUIBOQEuASMBFwEJAPoA6gDaAMwAvgCyAKkAowCgAJ4AnwChAKMApQCmAKUAoQCbAJEAhABzAF8ASAAvABP/9v/Y/7n/m/9+/2L/SP8x/xv/CP74/un+3P7Q/sX+u/6y/qn+of6Z/pL+jP6G/oH+fv57/nj+df5z/nD+bf5p/mT+X/5a/lX+T/5K/kX+Qf49/jn+Nf4w/iz+J/4i/hz+Fv4P/gf9//33/e795v3c/dP9yP2+/bL9p/2b/Y/9g/13/Wz9Yv1Y/U/9R/0//Tf9MP0n/R/9Ff0M/QL8+Pzv/Ob83/zY/NP8z/zM/Mn8x/zF/MT8wfy+/Lv8t/yy/K38qfyk/KD8nPyY/JX8kvyP/Iv8iPyE/ID8fPx4/HX8cvxw/G78bfxr/Gr8afxn/GT8YPxa/FT8TfxF/D78N/ww/Cv8J/wk/CP8Ivwj/CX8J/wq/C38MPw0/Df8O/w//EP8R/xL/E78UPxR/FD8TvxK/EX8Pvw2/C38I/wY/A38Afv0++f72vvM+7/7s/uo+5/7mfuV+5X7mfuh+6v7uPvH+9f75/v2/AL8DfwV/Br8Hfwd/Bz8G/wZ/Bj8F/wY/Bn8HPwg/CT8Kfwv/DT8OvxB/Ef8TvxV/F38Zfxt/HX8ffyG/I/8l/yg/Kn8s/y+/Mr81vzj/PH9AP0O/Rz9Kv04/UT9T/1a/WP9bP10/Xv9g/2K/ZH9mP2f/aX9rP2y/bj9vf3D/cn9z/3W/d395f3u/ff+AP4K/hT+Hv4n/jD+OP5A/kj+T/5V/lv+Yf5m/mv+b/5z/nb+ef58/n/+gv6F/or+kP6W/p7+pv6u/rf+v/7G/sv+0P7T/tX+1v7X/tj+2f7c/uD+5v7t/vb/AP8K/xT/Hv8o/zD/OP8//0T/Sv9O/1L/Vv9Z/13/YP9j/2b/af9t/3H/dv98/4P/i/+U/57/qf+z/73/xf/M/9D/0v/T/9H/z//N/8z/zP/O/9P/2v/k/+///AAJABQAHgAmACoAKwApACQAHgAYABEADQAKAAsADwAWAB8AKwA3AEMATwBYAF4AYgBjAGIAXwBbAFcAVABTAFUAWgBiAGwAeACFAJIAngCoAK8AswC0ALIArgCoAKAAmACRAIoAhQCBAH4AfAB7AHoAeQB4AHYAdAByAG8AbABoAGUAYgBeAFsAWABWAFMAUABOAEwASwBMAE4AUQBWAFwAYwBrAHMAfACDAIoAkACVAJgAmgCcAJ0AngCeAJ8AoAChAKIAowCjAKMAowCiAKEAnwCdAJsAmgCYAJYAlQCTAJEAjgCMAIkAhgCDAIAAfgB8AHwAfAB9AIAAgwCHAIoAjgCRAJQAlQCWAJYAlgCVAJQAkgCRAJAAkACPAI8AjwCPAJAAkACRAJIAkwCVAJcAmQCdAKEApACpAK0AsQC0ALcAuQC7ALwAvAC8ALwAuwC6ALoAuQC5ALoAvAC+AMMAyADPANgA4gDtAPoBBwEUASABKwE0ATkBPAE6ATUBKwEdAQ0A+QDkAM4AtwCiAI0AewBqAFwAUABGAD4ANwAxACwAJgAfABgAEAAG//v/7//g/9D/vv+q/5P/ev9f/0P/JP8D/uL+wP6e/n7+X/5D/ir+FP4C/fP95/3e/df90v3O/cv9yP3F/cL9wP2+/b79vv3A/cP9yP3N/dT92/3h/ef97P3w/fL98v3x/fD97f3r/er96f3q/e398v35/gH+DP4Z/ib+Nf5D/lL+X/5q/nP+eP55/nb+b/5i/lL+Pv4n/g/99v3d/cX9r/2c/Yr9e/1t/WD9U/1F/Tf9J/0W/QT88vzf/M78vvyv/KP8mPyP/Ij8gPx5/HH8aPxe/FP8SPw9/DP8K/wm/CP8JPwn/C78N/xC/E/8XPxq/Hr8jPyg/Lj81Pz1/Rr9RP1y/aL90v3//ij+Sv5i/m/+cP5k/k7+LP4D/dP9oP1s/Tr9Cvzg/Lr8m/yC/G/8YfxW/E/8SvxH/ET8Qfw+/Dr8Nfwt/CP8FvwH+/X74PvK+7P7m/uE+277WvtK+zv7MPsm+x77FvsN+wL69frk+tH6vPql+o36dvph+k/6Qfo3+jL6MPox+jT6OPo7+jv6Ovo1+i36IvoV+gf5+Pnp+dv5z/nD+br5sfmq+aT5nvmY+ZL5jfmI+YT5gPl9+Xz5e/l8+X35gPmE+Yj5jvmU+Zz5pfmw+bz5yvnY+ej5+PoI+hj6J/o2+kT6U/pi+nP6hfqZ+q/6x/rh+vr7FPss+0H7U/ti+237dft6+3/7hPuJ+5H7nPuq+7r7zfvg+/P8BfwV/CL8K/wy/Db8Ofw7/D78QfxH/E78Vvxg/Gr8dPx8/IP8h/yK/Iz8jfyO/JH8l/yf/Kz8vPzQ/Oj9Av0e/Tz9Wv13/ZT9sP3L/eT9/P4T/ir+P/5U/mn+fv6T/qn+wP7Z/vT/Ef8x/1L/dv+c/8P/6gARADcAXQCCAKcAzQD1ASABTgGBAbkB9QI3An0CxAMNA1QDmgPaBBYESwR6BKQEyAToBQQFHwU5BVQFbgWJBaUFwAXbBfQGDAYhBjIGQQZMBlUGWgZdBl8GXwZeBl4GXgZfBmEGZgZtBngGhgaYBq4GxwbkBwIHIwdDB2MHfweYB6sHtge7B7cHrAeZB4EHZQdGBycHCgbxBt8G1AbRBtgG5wb/Bx0HQQdpB5MHvQfnCA4INAhWCHYIkwivCMsI5wkECSQJRglqCZIJvAnnChQKQgpvCpsKxgrwCxgLPgtiC4ULpwvIC+kMCQwoDEYMZAyBDJwMtgzNDOMM9g0IDRgNJg00DUENTg1cDWoNeQ2IDZgNqQ26DcsN3A3sDfwOCg4YDiUOMQ48DkYOUA5ZDmEOaQ5xDngOgA6HDo8Olw6fDqkOsw6+DskO1Q7iDvAO/g8NDx0PLg9BD1UPaw+DD50PuQ/WD/QQExAyEFEQbhCLEKcQwhDcEPYRDxEpEUMRXRF4EZIRrBHGEd4R9BIHEhkSJxIzEjwSQhJGEkkSSRJHEkQSPxI5EjESKhIiEhsSFhIUEhUSGhIjEjASQRJVEmkSfhKREqISrhK1ErYSsxKrEp8SkhKEEncSbBJlEmESYRJlEm0SeBKEEpMSoxK0EsUS1xLpEvwTDhMhEzQTRhNWE2QTbxN3E3sTexN3E28TYxNVE0UTMxMhExATABLxEuQS2RLQEskSxBLAEr0SuhK3ErUSsRKtEqgSoxKcEpUSjhKHEoESfBJ5EnYSdhJ3EnkSexJ9En8SgBJ/EnwSeBJyEmoSYhJbElMSTRJIEkUSQhJBEkASPxI9EjkSMxIrEiASFBIGEkASMRIgEg8R/hHsEdwRzBG8Ea4RoBGTEYgRfRF0EW4RahFoEWoRbxF3EYERjRGYEaMRqhGuEa4RqBGdEY0ReRFhEUYRKxEQEPYQ3hDIELQQoxCSEIMQcxBkEFMQQBAtEBgQAg/sD9UPvg+oD5EPfA9mD1EPPA8nDxEO+w7kDswOsg6XDnoOXA46DhcN8Q3JDZ4Ncg1EDRYM5wy3DIgMWgwsDAAL1AuoC34LVAsqCwEK2AqwCokKYgo9ChkJ9wnWCbYJmAl8CWEJRwkvCRkJBAjwCN0IzAi6CKgIlQiBCGwIVQg8CCEIBgfqB88HtQedB4gHdQdmB1gHSwdABzQHJgcXBwUG8QbbBsIGqAaOBnQGWwZDBi0GGQYGBfQF4wXRBb8FrAWYBYMFbQVXBUAFKgUVBQAE6wTXBMIErQSXBIAEaARPBDYEGwQBA+cDzgO2A6ADiwN3A2QDUgNAAy4DGwMJAvYC5ALSAsICswKlApkCjwKFAnsCcQJlAlcCRwI0Ah4CBgHtAdQBuwGkAY8BfAFtAV8BUwFJAT4BMwEmARgBBwD2AOQA0gDCALQAqAChAJ0AnQCgAKQAqQCuALEAsQCtAKYAmQCJAHUAXgBEACgADP/w/9P/uP+d/4T/bP9V/0H/Lf8c/wz+/f7x/uX+2/7S/sn+wf65/rL+q/6k/p3+l/6R/oz+iP6E/oH+fv57/nj+dP5v/mr+Y/5c/lX+Tf5F/jz+Nf4t/ib+IP4b/hX+Ef4M/gf+Av39/ff98P3o/d/91v3M/cD9tf2o/Zv9j/2C/XX9af1e/VP9Sf1A/Tf9L/0n/R/9F/0P/Qf8//z3/O/85/zg/Nr81PzP/Mv8yPzF/MH8vvy6/LX8r/yp/KL8mvyS/Iv8g/x8/Hb8cPxr/Gb8Yvxd/Fn8VPxO/Ej8Qvw8/Db8MPwr/Cf8JPwh/B/8Hfwc/Br8GPwV/BL8D/wL/Af8BPwB+//7/vv++/78APwD/Ab8CfwO/BL8F/wd/CP8Kfwv/Db8O/w//EH8Qfw//Dn8Mfwn/Bv8Dfv+++/74PvT+8b7vPuy+6r7pPue+5n7lfuS+5H7kfuU+5j7n/uo+7P7wPvM+9j74/vs+/L79Pv0+/D76/vj+9z71PvP+8v7yvvM+9D71/vg++v79vwB/A38GPwj/C38N/xA/Ej8UfxZ/GH8avxy/Hr8g/yM/JX8n/yp/LT8v/zK/Nb84vzu/Pn9BP0O/Rf9IP0o/TD9N/0+/UX9TP1T/Vr9Yf1o/W79dP16/YD9hv2M/ZP9mv2i/av9tP2+/cj90f3b/eP96/3y/fj9/v4E/gr+EP4X/h7+Jf4s/jT+O/5B/kb+Sf5M/k7+UP5R/lP+Vv5a/mD+aP5x/nv+hv6Q/pr+o/6q/rD+tf64/rv+vv7B/sX+yv7Q/tf+4P7o/vL++/8E/w3/Ff8d/yX/LP80/zv/Qv9I/07/VP9Y/1v/Xv9g/2H/Yv9l/2j/bP9y/3n/gf+K/5L/m/+i/6f/qv+s/63/rf+t/63/sP+1/73/x//U/+T/9AAEABMAIAAqADEAMwAzAC8AKQAiABwAFgASABAAEQAVABwAJAAtADcAQABJAFAAVQBYAFoAXABdAF4AYQBlAGwAdgCCAJAAoACyAMQA1QDmAPUBAwENARYBHAEgASIBIgEfARsBFAELAQAA8gDiANEAvQCqAJYAgwByAGQAWABQAEsASgBKAE0AUQBVAFgAWwBdAF4AXgBdAF0AXABcAF0AXwBiAGYAawBxAHcAfACCAIcAjACQAJMAlgCYAJkAmgCZAJgAlwCUAJIAjwCNAIsAiQCIAIgAiQCKAIsAiwCLAIoAiQCGAIIAfgB6AHYAcwBxAHEAcgB0AHgAfACAAIUAiACKAIsAiwCJAIcAgwCAAHwAeQB3AHYAdQB1AHYAeAB7AH0AgACEAIcAiwCOAJEAlACXAJkAmgCaAJoAmQCXAJUAkwCRAI8AjgCNAI0AjgCPAJAAkQCSAJIAkwCUAJUAlwCaAJ8ApgCvALoAxgDUAOIA7wD7AQUBCwEOAQ0BCAD+APEA4QDPALsApgCSAIAAbgBfAFIASABAADkANQAxAC0AKQAlAB8AGAAPAAT/9v/n/9T/wP+p/5D/df9Y/zn/Gf74/tf+tf6V/nb+WP4+/if+FP4E/fj98P3q/eb94/3h/d792v3U/cz9w/25/a79pP2b/ZP9jf2K/Yn9iv2N/ZH9lf2Z/Zz9nv2e/Z39m/2Z/Zf9lf2V/Zj9nf2k/a/9vf3N/d/98/4H/hr+LP48/kn+Uf5W/lX+T/5F/jf+JP4Q/fn94v3L/bX9oP2N/Xz9bP1e/VD9Qv00/SX9Ff0F/PT84/zT/MP8tfyo/J38k/yK/IH8efxw/Gb8XPxR/Eb8O/ww/Cf8Ifwc/Br8G/we/CT8K/wz/Dv8RfxQ/Fz8a/x9/JP8rvzP/PT9Hv1L/Xn9pv3Q/fX+Ef4k/iz+KP4a/gH94P25/Y79Yv02/Q385/zH/Kv8lfyE/Hf8bvxo/GT8Yvxg/F/8Xvxc/Fn8VfxO/EX8Ofwr/Bn8Bvvx+9r7xPuv+5z7i/t8+3H7aPth+1r7U/tJ+z37LfsZ+wH65vrI+qn6ivpt+lP6Pfor+h36FPoN+gn6BfoB+fv59Pnr+eD50/nG+bn5rPmh+Zj5kPmK+YX5gfl9+Xr5dflw+Wv5Zflf+Vr5VvlT+VL5UflS+VT5VvlY+Vr5XPlf+WL5Zvlr+XL5e/mF+ZH5n/mu+b35zPnb+ev5+/oM+h36MfpH+l76ePqS+q76yPrh+vf7CfsY+yL7Kfsu+zL7Nfs7+0L7Tvtc+277gvuY+677w/vW++b78/v9/AT8CfwO/BL8Fvwa/CD8Jfwq/C78Mvwz/DP8Mfwv/C38Lfwu/DL8OvxF/FP8ZPx2/In8nPyt/L78zfzb/On8+P0I/Rr9Lv1G/V/9e/2X/bP9zf3m/fz+D/4h/jH+Qv5U/mn+gv6g/sP+6v8W/0b/ef+t/+MAGABOAIQAugDyASsBZwGlAeYCKwJxArgDAANHA4sDzAQIBD8EcQSdBMQE5wUGBSIFOwVTBWoFgAWWBasFwAXTBeYF9wYGBhMGHQYmBi0GMgY2BjoGPwZEBksGVQZiBnIGhgaeBroG2Qb7Bx8HRAdqB44HsAfPB+gH/AgJCA4IDAgBB+8H1ge4B5YHcwdRBzIHGAcFBvsG+gcDBxUHMAdRB3cHoAfLB/UIHQhECGcIhwilCMII3gj7CRkJOgldCYIJqgnVCgEKLgpbCogKtArfCwkLMgtZC4ALpQvKC+4MEgw1DFYMdwyVDLIMzAzkDPkNDA0cDSsNOQ1GDVQNYQ1vDX4Njw2fDbANwg3TDeUN9Q4FDhUOIw4yDkAOTQ5bDmgOdQ6CDo4Omg6kDq0OtA67DsEOxg7LDtEO2A7hDuwO+Q8JDxwPMg9LD2YPgw+iD8MP5RAIECwQTxBxEJEQsBDMEOYQ/BEQESIRMhFCEVIRYxF1EYoRoBG5EdQR7xIJEiMSOhJNEl0SaBJvEnISchJvEmsSZRJgElsSVhJTElASTxJPElASUhJWElsSYxJsEncShBKREp8SrRK6EsQSzBLSEtUS1RLUEtESzhLMEssSyxLOEtMS2RLiEusS9hMCEw4TGxMoEzcTRxNYE2sTfhORE6QTtBPCE8sT0BPQE8oTvxOvE5sThRNuE1cTQBMsExoTCxL/EvcS8BLsEukS6BLmEuYS5RLjEuES3xLbEtcS0hLMEsUSvhK3ErESqhKmEqISoBKfEqASohKkEqYSqBKpEqgSpRKhEpsSlBKNEoYSfxJ5EnUSchJxEnAScRJxEnASbhJqEmMSWhJOEmcSWhJMEj0SLxIiEhUSChIAEfcR7xHoEeIR3BHXEdIRzhHMEcoRyRHKEcsRzBHOEc4RzRHKEcMRuRGrEZoRhRFvEVYRPREkEQ0Q9hDiEM8QvxCvEKAQkhCDEHMQYhBQED0QKBATD/0P5g/QD7kPoQ+KD3MPWw9DDysPEQ73DtwOvg6gDn4OWg4yDggN2w2qDXgNRA0PDNsMpwx2DEYMGAvsC8ILmQtyC0oLIgr6CtEKqQqAClgKMQoMCekJyAmqCY4JdAlbCUUJLwkaCQUI8gjeCMsIuAilCJEIfQhpCFMIPAgkCAsH8gfZB8AHqAeSB30HawdZB0kHOQcpBxgHBgbyBtwGxQasBpMGegZiBkwGOAYmBhYGCAX6Be0F3wXQBb8FrAWXBYEFaAVPBTYFHQUFBO0E1gTABKsElQR/BGkEUgQ5BCAEBwPuA9UDvQOmA5ADewNoA1UDQwMxAx8DDQL6AucC1QLCArECoQKSAoUCeQJuAmMCWAJMAj4CLQIbAgYB8AHYAcEBqQGTAX8BbgFeAVABQwE2ASkBGwELAPkA5gDTAL8ArgCfAJQAjgCNAJAAmACiAK0AtwC/AMMAwgC7AK0AmgCBAGQARQAkAAP/4//E/6j/jv92/2D/TP86/yn/Gf8K/vz+8P7k/tr+0f7J/sL+vP63/rH+rP6n/qH+m/6W/pD+i/6F/oD+fP53/nP+bv5o/mH+Wv5R/kj+Pf4z/ij+Hf4T/gr+Af36/fT97/3q/eb94v3e/dj90v3L/cL9uP2u/aL9lv2J/X39cf1k/Vn9Tv1D/Tn9L/0m/Rz9E/0J/QD89/zu/Ob83/zZ/NT80PzO/M38zPzN/M38zvzO/M38y/zI/ML8vPyz/Kn8n/yT/If8e/xw/GX8W/xS/En8Qfw6/DP8LPwl/B78FvwO/Ab7//v4+/H77Pvn++T74fvg+9/73/vg++D74fvh++P75Pvl++f76vvu+/L79/v8/AL8CPwP/BX8HPwi/Cj8Lvwy/DX8N/w2/DL8LPwi/Bb8Bvv1++H7zfu6+6j7mPuL+4H7e/t4+3j7evt++4T7ivuR+5j7nvul+637tPu7+8L7yPvO+9H70vvR+8z7xvu9+7L7qPud+5X7j/uN+477lPud+6n7t/vH+9f75/v1/AL8DvwX/B/8Jvwr/DD8Nfw7/EH8R/xP/Ff8YPxp/HT8fvyK/JX8oPyr/LX8wPzJ/NH82fzf/OX86/zw/Pb8+/0B/Qj9D/0W/R39Jf0t/TX9PP1E/Uz9VP1d/Wb9cP17/Yb9kf2d/af9sf26/cH9xv3K/cz9zv3Q/dL91f3Z/d795f3t/fb9//4I/hD+Fv4b/h7+H/4g/iD+If4j/ib+K/4y/jv+Rf5R/lz+aP50/n7+h/6Q/pf+nv6l/qz+sv65/sD+x/7O/tX+3P7i/uj+7v70/vv/Av8K/xP/HP8l/y7/N/8+/0P/R/9K/0z/Tf9O/1D/U/9X/17/Zv9v/3n/g/+N/5X/m/+f/6L/o/+l/6b/qf+u/7X/vv/K/9f/5v/1AAIADgAYAB8AIwAlACQAIgAfABwAGQAYABgAGgAdACEAJwAsADIAOAA9AEIARgBKAE4AUwBYAF8AZwBxAH0AiwCaAKsAvQDQAOMA9gEJARsBLQE9AUwBWQFlAW0BcwF2AXQBbgFjAVMBPgEmAQoA7ADNAK8AkwB6AGYAVwBNAEgARwBKAE8AVQBaAGAAYwBlAGQAYgBfAFwAWABVAFMAUwBUAFYAWgBeAGQAagBxAHcAfQCEAIkAjgCSAJQAlgCVAJQAkQCOAIoAhgCDAIAAfwB/AIAAgwCGAIoAjQCPAJAAkACOAIwAiACEAIEAfgB9AHwAfQB/AIIAhQCIAIoAiwCKAIkAhgCCAH4AegB2AHMAcQBwAHAAcQBzAHYAeQB8AIAAgwCHAIsAjwCSAJUAmACZAJgAlgCTAI0AhgB+AHUAbQBkAF0AVwBSAE8ATgBOAE4ATwBPAFAATwBPAE8ATwBQAFMAWQBhAGsAeACHAJYApgC0AMEAygDQANIA0ADJAL8AsQCiAJEAgABvAF8AUQBFADsANAAvACsAKQApACgAJgAkACAAGgARAAX/9//l/9H/u/+i/4j/bf9Q/zP/Ff72/tj+uf6b/n/+ZP5L/jX+Iv4T/gf9//35/fb99P3y/e/96/3j/dn9zP28/av9mf2H/Xf9aP1d/VX9UP1N/U39Tv1Q/VH9Uf1P/U39Sf1E/T/9PP06/Tv9QP1I/VT9Zf14/Y79pv2+/db97f4A/hH+Hf4k/ib+JP4c/hH+Af3v/dv9xf2w/Zr9hv1z/WH9Uf1D/TX9Kf0d/RH9Bfz5/O384vzW/Mv8wPy2/Kz8ofyX/I38gvx2/Gr8XvxR/EX8O/wx/Cn8JPwh/B/8IPwj/Cb8K/wv/DX8O/xC/Ez8WPxp/H78mPy4/Nz9BP0t/Vb9fv2g/bz9z/3Y/df9zf25/Z39ff1Y/TP9Dvzr/M38svyc/Iv8fvx1/G78avxo/Gb8Zvxm/Gb8Z/xn/Gb8Zfxi/F38VvxM/ED8Mvwh/A/7/fvq+9j7yPu6+637ovuY+477g/t1+2b7Uvs7+yH7A/rj+sL6oPqA+mL6R/ow+hv6Cfn6+e354PnT+cb5t/mo+Zn5ivl8+W/5Y/la+VP5TflJ+Ub5Qvk++Tn5M/kt+Sb5IPka+Rb5E/kT+RT5F/kb+R75Ifkj+SP5Ivkf+Rz5GfkW+Rb5GPkc+SP5Lfk6+Uj5WPlp+Xv5jfmh+bb5zfnm+gH6Hvo7+ln6dvqR+qn6vPrL+tb63frh+uT66Pru+vf7BfsX+y37Rvti+377mvuz+8r73vvt+/r8BPwL/BL8F/wb/B78Ifwi/CL8IPwd/Br8FvwU/BP8Fvwd/Cj8N/xJ/F38cfyE/JP8n/ym/Kn8qPyk/KH8n/yh/Kr8ufzP/Oz9Dv0z/Vr9gP2j/cH92v3u/f3+Cv4W/iX+N/5Q/m/+l/7G/vz/N/92/7b/9gA0AHAAqQDeARIBRAF3AasB4QIbAlgCmALcAyADZQOpA+oEJwReBJAEugTfBP0FFwUsBT4FTwVeBW4FfgWOBaAFsQXCBdIF4AXtBfgGAAYIBg4GFQYdBiYGMwZDBlgGcAaNBq4G0gb5ByMHTgd5B6UHzwf4CB4IQAhdCHIIgAiGCIEIcghZCDgIDwfiB7IHhAdZBzUHGgcKBwYHDgcgBzwHXweHB7MH3wgLCDQIXAiACKMIwwjkCQUJJwlLCXEJmgnECfEKHwpNCnsKqQrXCwMLLgtYC4ELqQvRC/cMHQxCDGUMhgymDMQM3wz4DQ8NIw01DUYNVg1lDXQNgw2SDaINsg3CDdIN4g3xDf8ODQ4bDigONA5BDk8OXQ5sDnwOjQ6eDq8Ovw7ODtwO6A7yDvsPAg8JDxEPGQ8kDzIPQw9YD3EPjQ+tD9AP9hAeEEYQbxCYEL8Q5BEHESYRQRFYEWoReBGDEYsRkRGXEZ4RpxG0EcUR2RHyEg4SKxJIEmQSfRKREp8SpxKpEqYSnhKTEocSexJxEmkSZhJlEmkSbxJ4EoMSjxKbEqYSsRK8EsUSzhLWEt4S5RLsEvMS+hMBEwgTEBMYEyETKhM0Ez4TSBNRE1kTYRNnE2sTbxNyE3YTehOAE4kTlROjE7QTxxPaE+0T/RQJFA8UEBQJE/0T6hPTE7kTnROCE2gTURM+Ey4TIxMbExUTEhMQEw8TDhMNEwsTChMIEwYTBBMDEwETABL+EvwS+RL2EvIS7RLpEuQS4BLcEtoS2BLXEtYS1xLXEtcS1xLVEtMS0BLMEscSwhK9ErgSsxKvEqoSphKiEp4SmBKREokSfxJ0EokSgBJ3Em8SaBJiEl0SWRJWElMSURJPEkwSSRJFEj8SOBIwEicSHhITEgkR/hH0EekR3hHSEcQRthGlEZMRgBFsEVYRQREsERkRBhD1EOYQ1xDKEL0QrxCiEJMQgxByEGAQTBA4ECMQDg/4D+EPyQ+xD5gPfg9jD0cPKQ8KDuoOxw6hDngOTA4dDeoNtA17DUENBgzMDJMMXQwrC/0L0wutC4oLaQtJCygLBgriCr0KlgpuCkYKHgn4CdUJswmVCXoJYQlJCTQJHwkKCPUI4QjMCLcIogiMCHcIYQhMCDYIHwgJB/EH2gfDB6wHlgeBB20HWgdHBzUHIgcOBvkG4wbMBrQGmwaCBmkGUwY+BiwGHAYPBgQF+gXxBecF3AXQBcEFrwWbBYUFbQVUBToFHwUFBOsE0gS5BKAEiARvBFYEPQQkBAsD8gPZA8EDqgOUA38DawNYA0UDMwMhAw8C/ALqAtcCxAKyAqACjwJ/AnACYwJWAkkCPAIuAh8CDgH7AeYB0AG5AaIBiwF1AWEBTgE9AS0BHwEQAQIA8gDiANEAvwCtAJ0AjwCFAH8AfgCCAIoAlgCkALEAvADEAMYAwQC1AKIAiABpAEcAIv/9/9n/uP+Z/33/Zf9Q/z3/LP8d/w7/AP7z/uf+2/7R/sf+wP65/rT+sP6s/qj+pP6f/pn+kv6L/oT+fP51/m7+Z/5h/lv+Vf5P/kf+P/42/iz+IP4U/gf9+v3u/eP92v3R/cv9xf3B/b39uv22/bH9q/2k/Zv9kf2H/Xv9cP1k/Vr9T/1G/T39Nf0s/ST9G/0S/Qj8/vzy/Of83fzS/Mr8wvy9/Ln8uPy4/Ln8vPzA/MP8xvzJ/Mr8yvzI/MX8v/y4/K78o/yW/Ij8evxq/Fv8TPw+/DH8Jfwb/BH8CfwB+/r78vvq++L72vvS+8v7xPu++7n7tvu1+7X7t/u5+737wPvF+8n7zfvS+9f73fvj++v78/v7/AX8DvwW/B78Jfwq/C38Lfwr/Cb8H/wU/Af7+Pvm+9L7vfuo+5L7fvts+177UvtL+0j7SvtP+1f7Yftt+3n7hfuQ+5r7ovuo+637r/uw+7D7rfup+6P7m/uS+4f7e/tw+2X7XPtW+1P7VPta+2X7c/uF+5j7rfvB+9P75Pvy+/38BfwK/A38DvwP/A/8EPwS/BX8Gvwg/Cj8Mfw7/Ef8U/xg/G38evyH/JL8nfym/K78tPy5/L78wfzE/Mj8y/zP/NT82vzh/Oj88Pz5/QH9Cv0T/R39Jv0w/Tv9R/1T/V/9bP15/YT9j/2Y/aD9pf2p/ar9qv2q/an9qf2q/az9sf22/b79xv3P/df93/3l/er97f3u/e/97/3v/fD98/33/f3+Bf4P/hv+J/40/kH+Tv5c/mj+df6B/o3+mP6j/q7+t/6//sX+y/7P/tL+1f7Y/tz+4P7m/u3+9v7//wn/Ev8b/yL/Kf8t/zH/M/82/zn/Pv9E/03/V/9i/2//fP+I/5P/m/+i/6b/qP+p/6r/q/+t/7H/tv++/8f/0f/b/+T/7f/0//n//QAAAAEAAwAFAAcACgAOABMAGAAdACMAKAAsADAAMwA1ADgAOwA/AEQASgBRAFsAZgByAH8AjACaAKkAtwDFANMA4ADuAPwBCwEZASgBNgFDAU8BWQFfAWEBXgFWAUkBNwEgAQYA6QDMALEAlwCCAHEAZgBfAF0AXgBhAGUAagBtAG4AbQBqAGYAYABZAFMATgBKAEcARwBIAEoATgBTAFgAXwBlAGwAcwB7AIIAiACOAJIAlQCXAJYAlACQAIwAhwCDAIAAfgB/AIAAhACIAI0AkgCWAJkAmgCZAJgAlQCSAI8AjACLAIoAiwCMAI0AjgCOAI0AiwCIAIUAgAB8AHgAdQBzAHIAcwB1AHgAewB+AIEAhQCHAIoAjACOAJEAlACWAJkAmgCaAJkAlQCPAIYAewBuAGAAUQBDADYAKgAhABoAFQASABAAEAAPAA4ADQAMAAsACgAKAA0AEQAYACIALgA9AEwAWwBpAHUAfwCFAIgAhgCBAHkAbwBjAFYASQA9ADIAKAAgABsAFwAWABYAFwAYABoAGwAaABgAEwALAAD/8v/i/8//uv+k/43/dv9f/0j/Mf8a/wL+6v7Q/rf+nf6D/mr+U/4+/iz+Hf4S/gr+BP3//fr99f3t/eL91f3E/bH9nP2H/XL9X/1O/UH9Nv0u/Sr9Jv0j/SH9Hf0Y/RL9C/0E/P389/z0/PP89/z//Qv9G/0u/UX9XP11/Y39o/23/cf91P3d/eD94P3b/dP9x/24/aj9lv2D/XD9Xv1N/T39L/0i/Rf9Df0E/Pz89fzu/Oj84fza/NP8zPzE/Lv8sfyn/Jv8j/yC/HX8aPxc/FD8Rvw+/Dj8NPwy/DH8Mvw0/Df8Ovw8/ED8RPxK/FH8XPxr/H78lvyz/NP89f0Y/Tr9WP1x/YP9jf2O/Yb9dv1f/UP9I/0C/OL8xPyp/JL8f/xw/Gb8Xvxa/Ff8VvxW/Ff8Wfxc/F/8Yvxm/Gr8bvxw/HH8cPxs/Gb8XfxR/EP8M/wi/BD7/fvr+9j7xvu0+6L7j/t7+2X7Tvs1+xr6/frf+sD6ovqD+mb6Svow+hj6Afnr+db5wvmt+Zj5hPlv+Vv5SPk2+Sf5GfkN+QP4+/jz+O345fje+Nb4zfjF+L34t/iz+LH4svi2+Lz4wvjK+ND41PjW+NT40PjJ+MH4ufiy+K34q/it+LT4vvjM+Nz47/kD+Rj5LvlF+V35dvmS+bD5z/nv+hD6L/pM+mX6evqK+pX6nPqh+qT6qfqv+rr6yfre+vj7Ffs2+1f7ePuX+7L7yvvd++37+fwB/Aj8DPwP/BD8EfwP/A38CvwG/AL7//v//AP8CvwX/Cf8PPxT/Gr8gPyT/J/8pvyl/J38kfyC/HP8Zvxg/GL8bvyF/KX8zvz8/S79YP2P/bj93P34/g/+IP4w/kD+VP5t/o7+uf7s/yf/av+w//gAPwCEAMIA+gEsAVYBfAGeAb4B3wIDAisCWQKNAscDBgNIA4sDzgQNBEgEfQSqBNAE7wUHBRsFKgU3BUQFUQVfBW0FfQWNBZwFqgW2BcAFxwXNBdEF1gXbBeMF7gX+BhIGKwZJBmsGkAa4BuQHEQdAB3EHpAfYCA0IQQh0CKIIyQjnCPoI/wj2CN4IuAiGCEoICgfIB4oHVAcoBwoG+gb6BwgHIQdFB28HngfPB/4ILAhYCIAIpwjLCO8JEwk4CV8JiAmyCd8KDQo8CmwKnArLCvoLKAtUC38LqgvTC/sMIwxJDG4Mkgy1DNYM9g0UDTANSw1kDXoNjw2iDbMNww3SDd8N7A34DgMODg4YDiEOKw40Dj4OSQ5VDmIOcQ6CDpUOqQ6+DtQO6g8ADxQPJg83D0YPUw9gD2wPeg+JD5oPrg/GD+EP/xAhEEUQaxCSELoQ4hEIES0RUBFwEYwRpRG5EcoR1hHfEeUR6hHuEfQR+xIHEhYSKhJCEl0SehKWErESxxLYEuES4hLcEtASvhKqEpUSghJzEmkSZhJqEnQShBKYEq0SwxLYEuoS+BMCEwkTDBMMEwsTChMKEwsTDxMWEyATLhM9E08TYhN1E4cTlhOkE64TtBO3E7gTtxO1E7MTtBO3E78TyhPaE+wUARQVFCgUNxRBFEUUQRQ2FCQUDRPyE9UTtxOcE4MTbxNfE1MTSxNHE0UTQxNCE0ETQBM9EzoTOBM1EzMTMhMzEzQTNhM4EzsTPRM+Ez4TPBM5EzUTLxMqEyQTHhMZExUTEhMQEw8TDxMPEw8TDxMOEwwTCRMEEv4S9xLvEuYS3BLSEscSvRKyEqgSnRKTEscSwxLAEr0SuxK4ErYSsxKxEq4SqhKmEqESmhKSEogSfBJuEl4STRI7EikSFxIGEfUR5RHVEcYRtxGnEZYRhRFzEWARTRE7ESkRGBEIEPgQ6hDcEM4QwBCyEKMQlBCEEHUQZBBUEEMQMhAgEAwP9w/fD8QPpg+GD2IPPA8TDugOuw6MDlsOKA3yDbsNgQ1HDQwM0QyZDGQMMgwGC94LuwudC4ELZwtNCzILFArzCs4Kpgp8ClEKJQn7CdIJrQmKCWsJTwk1CR0JBgjwCNoIxAiuCJgIgghsCFYIPwgpCBIH+gfiB8oHsgeaB4IHawdVB0AHLAcZBwYG9AbhBs0GuQalBpAGewZnBlMGQQYxBiMGFgYLBgAF9gXrBeAF0wXFBbYFpQWSBX4FaAVSBToFIgUIBO4E0wS4BJwEgARkBEgELQQSA/kD4APJA7MDnQOJA3QDYQNNAzoDJwMUAwEC7gLbAskCtwKlApQCgwJ0AmUCVgJIAjkCKgIaAgkB9gHhAcsBswGbAYIBagFTAT0BKQEYAQgA+gDtAOAA1ADIALwAsQCmAJwAlACPAI0AjwCUAJsApACtALUAuQC5ALMApwCUAHsAXAA5ABT/7//K/6f/h/9r/1P/Pv8s/xz/Dv8B/vX+6f7d/tL+yP6//rf+sf6s/qj+pP6h/pz+l/6R/on+gP52/mv+Yf5X/k7+Rv4//jn+M/4t/ib+Hv4V/gv9//3y/eT91v3J/b39sv2p/aL9nP2Y/ZT9kf2N/Yj9gv16/XH9aP1d/VL9SP0//Tf9MP0q/SX9If0d/Rf9Ef0K/QH89/zs/OD81PzJ/L/8tvyv/Kn8pfyj/KL8ofyh/KH8ofyh/KH8oPyf/J38mvyW/JD8ifyA/HT8ZvxX/Ef8Nvwl/BX8B/v6++/75fvd+9X7zvvH+8D7uPuv+6f7n/uZ+5T7kfuQ+5L7lfua+6D7pvus+7L7t/u8+8H7xvvM+9P73Pvl++/7+PwB/Aj8DPwN/Ar8BPv5++z72/vH+7P7nfuH+3L7XvtL+zz7L/sl+x/7Hfsf+yT7Lfs5+0b7Vftj+3D7fPuF+4v7jvuO+4z7hvt/+3b7a/tg+1P7R/s7+y/7Jfsd+xf7FfsX+xz7J/s1+0f7W/ty+4j7n/uz+8b71fvg++n77/vy+/P79Pv0+/P79Pv1+/f7+/wA/Af8DvwY/CL8Lvw7/Ej8Vvxj/HD8ffyH/JD8mPyd/KH8pPyl/Kf8qPyp/Kz8r/y0/Lr8wPzI/NH82vzj/O389/0B/Qz9F/0i/S39Of1F/VD9XP1m/W/9d/19/YH9hP2F/YX9hP2E/YT9hf2H/Yv9kP2W/Z39pP2r/bH9tv26/b39v/3B/cP9xf3I/cz90v3a/eP97v36/gj+Fv4m/jb+Rv5X/mj+ef6J/pj+pv6y/rv+w/7I/sv+zf7O/tD+0f7U/tn+3/7m/u7+9/7//wf/Dv8U/xn/Hv8j/yj/Lv83/0H/Tf9b/2r/eP+G/5L/nP+k/6n/rP+t/67/rv+v/7L/tv+7/8H/yP/P/9X/2v/e/+D/4v/j/+T/5f/o/+z/8v/5AAEACQARABkAIAAmACoALgAxADQANwA7AEAARgBOAFcAYQBsAHYAgACJAJIAmQCgAKYArACzALoAwwDMANgA5ADxAP4BCQESARgBGgEXAQ8BAwDyAN8AygC1AKEAkACDAHoAdQB1AHgAfACCAIcAigCLAIoAhQB/AHYAbgBlAF0AVwBSAFAATwBPAFEAVABXAFsAYABlAGsAcQB5AIAAiACQAJYAmgCdAJ4AnACYAJMAjgCIAIQAgQCAAIEAhACIAI0AkQCVAJgAmQCYAJYAlACRAI4AjACKAIoAigCKAIsAiwCKAIkAhgCDAH8AewB4AHUAdAB0AHYAeQB8AIAAhACIAIsAjQCPAJAAkQCSAJQAlgCXAJkAmgCaAJgAlACMAIIAdQBmAFUARAAzACQAFgALAAL//P/4//b/9f/0//P/8f/v/+3/6v/p/+j/6f/s//L/+QADAA0AFwAhACkALwAzADQAMwAvACoAJAAdABYADwAJAAUAAf/+//3//P/9//4AAAACAAQABAAEAAL//f/3/+7/4//W/8j/uv+s/5//kv+H/3z/cv9n/1v/TP86/yX/Df7y/tX+tv6Z/nz+Y/5M/jn+Kv4d/hL+B/38/fD94P3P/bv9pf2O/Xf9Yf1N/Tz9Lf0i/Rn9Ef0L/QT8/vz3/O/85vze/Nb8z/zL/Mr8zPzS/Nv86Pz3/Qj9G/0u/UD9Uf1h/W79eP1//YT9hf2D/X/9eP1v/WT9WP1L/T39MP0j/Rf9DP0C/Pr88/zt/Oj84/zf/Nv81/zT/M78yfzD/Lz8tfyt/KT8mvyP/IT8evxv/GX8XPxV/FD8TPxK/Er8TPxO/FL8Vvxa/F/8Zfxr/HP8fvyM/Jz8sPzH/OD8+v0U/S39Qf1R/Vv9Xf1Y/Uv9OP0g/QT85fzG/Kj8jPxz/F/8TvxB/Dj8Mvwv/C/8MPwz/Dn8P/xH/FD8Wfxj/G38dvx9/IL8hfyF/IL8e/xx/GT8VPxC/C38Fvv+++X7y/ux+5b7fPtj+0n7MPsX+v765frL+rL6mPp++mP6SPou+hT5+fnf+cX5qvmQ+Xb5XPlD+Sr5E/j9+Oj41vjF+Lb4qfid+JL4h/h8+HP4avhi+Fv4V/hW+Ff4W/hh+Gn4cfh4+H34f/h++Hn4cvho+F34U/hL+Ef4R/hN+Fj4aPh7+JL4qvjD+Nz49fkN+Sb5QPlc+Xj5l/m3+df59voT+i36Q/pU+mD6Z/ps+nD6dfp8+of6l/qs+sb65fsG+yn7Svtp+4X7nPuu+7v7xfvL+8770PvQ+8/7zfvL+8j7xfvD+8H7wfvD+8n70/vh+/L8Bvwb/DD8Q/xQ/Fn8WvxV/Er8O/wr/Bv8EPwL/BD8IPw7/GH8kPzF/P/9OP1v/aH9zP3v/gv+Iv40/kX+WP5w/o7+tf7m/x//YP+n//AAOgCBAMIA/AEsAVQBcwGMAaABsgHGAd0B+gIfAk0CgwLBAwQDSwOTA9kEGgRVBIkEtATWBPIFBwUYBSYFMgU+BUoFVgViBW4FeQWCBYgFjQWQBZMFlQWaBaAFqwW6Bc0F5AX/Bh0GPQZfBoMGqQbRBv4HLwdlB6AH4AgjCGcIqAjiCRIJMwlECUIJLQkFCM8IjghGB/0HuQd+B08HMAciByMHNAdQB3UHoQfPB/0IKghUCHoIngi/CN8I/wkhCUQJaQmSCb0J6wocCk4KgQq0CugLGgtLC3sLqQvWDAEMKwxUDH0MpQzMDPMNGg1ADWQNhw2oDcUN3w31DggOFg4iDioOMQ42DjoOPg5DDkgOTw5YDmIObg59Do0OoA60DsoO4g77DxQPLg9HD18Pdg+LD58PsQ/BD9IP4g/yEAUQGRAvEEgQZBCBEKEQwhDlEQgRKxFOEXARkRGxEc8R6hIDEhgSKxI6EkYSUBJZEmESahJ1EoISkRKkErgSzhLjEvYTBRMOExATCxL+EusS1BK6EqESjBJ9EnUSdhKAEpISqxLJEugTBRMgEzUTQxNLE0wTRxM+EzQTKRMhExwTHBMiEy0TPBNPE2UTfBOSE6YTtxPFE88T1RPYE9kT2RPaE9wT4RPqE/cUCBQcFDIUSBRcFG0UeBR8FHoUbxReFEcUKxQOE/AT0xO6E6QTlBOIE4ATfBN7E3sTexN8E3sTehN4E3YTcxNxE3ATcBNxE3MTdxN7E38TghOFE4cTiBOHE4UTgRN8E3UTbhNnE2ATWhNVE1ATTRNKE0gTRhNEE0ITPhM5EzMTKhMhExYTCxMAEvQS6hLhEtgS0RLMExwTHBMaExgTFBMOEwcS/xL1EusS4BLVEskSvRKwEqESkhKBEm8SXBJJEjYSJBISEgIR8hHjEdURxxG4EakRmBGHEXQRYRFNETkRJhETEQAQ7hDcEMsQuhCpEJkQihB8EG8QZBBaEFEQRxA9EDAQHxAKD+4PzQ+lD3gPRg8RDtkOoA5nDi8N9w3BDYwNWQ0mDPUMxQyYDG4MRwwkDAUL6QvQC7gLoAuHC2wLTAsoCwAK0wqjCnIKQAoPCeAJtAmMCWcJRgknCQsI8QjYCMEIqQiTCH0IZghQCDoIIggKB/EH1we7B54HggdlB0kHLwcXBwAG7AbaBsoGuwatBp8GkgaGBnkGbQZhBlUGSQY9BjEGJQYYBgkF+QXnBdUFwQWtBZgFhAVwBVwFSQU1BSEFDAT1BN0EwgSmBIkEbAROBDEEFgP9A+UD0AO8A6kDlwOFA3MDYANMAzgDJAMPAvsC5wLTAsECrwKeAo8CfwJxAmICVAJFAjYCJQITAf8B6gHTAbsBogGHAW0BVAE7ASUBEQEAAPEA5QDcANUAzwDLAMcAxADBAL8AvQC8ALwAvAC9AL4AvgC8ALcArgChAI8AeQBeAD8AHP/5/9X/sv+R/3T/Wv9D/zD/IP8S/wX++f7u/uL+1/7M/sH+t/6u/qf+of6b/pf+kv6N/of+f/53/mz+Yf5V/kn+Pf4y/in+If4a/hX+D/4K/gT9/f30/en93f3Q/cL9tP2m/Zr9j/2G/X/9ef11/XD9bP1n/WL9W/1S/Un9QP02/S39Jf0f/Rr9GP0W/Rb9Fv0W/RX9E/0O/Qf8/vzz/Of82/zP/MP8uPyu/KT8nPyU/Iz8hfx9/Hb8bvxo/GP8X/xd/Fz8XPxc/F38XPxZ/FP8Svw+/DD8H/wO+/z76/vc+8/7xPu6+7L7qvuj+5v7k/uK+4H7eftz+277bftu+3L7ePuA+4j7kPuX+537oPui+6P7o/uk+6X7qPus+7D7tfu5+7z7u/u4+7H7pfuX+4b7c/tf+0z7Ovsq+xz7EvsK+wX7A/sE+wf7DPsU+x37KPs0+0H7TftY+2H7aPtr+2v7Z/tf+1X7SPs5+yr7GvsL+v768vro+uH63frd+uD65/rx+v/7EPsk+zn7T/tm+3z7kPuh+7H7vvvI+9D71vvb+9/74/vm++r77fvx+/T7+Pv7+//8BPwJ/A/8Fvwf/Cn8M/w//Er8Vfxg/Gn8cfx3/Hv8fvyA/ID8gPyB/IH8g/yG/Ir8kPyY/KD8qvy0/L/8yvzV/N/86fzy/Pv9BP0N/Rb9IP0p/TP9PP1F/U39VP1a/V39YP1g/WH9YP1g/WH9Yv1m/Wr9cP12/X79hf2M/ZP9mf2e/aL9pv2q/a79s/25/cH9yf3U/d/97P37/gv+HP4u/kD+U/5m/nj+if6Z/qb+sf66/sD+xf7H/sn+y/7N/tH+1f7b/uH+6f7x/vj+//8G/wz/Ef8X/x3/Jf8u/zn/Rf9T/2H/cP9+/4v/lf+d/6P/qP+r/67/sP+0/7r/wP/H/8//1//e/+T/5//o/+j/5f/i/9//3P/b/9z/3//l/+z/9f//AAkAEgAaACIAKAAuADMANwA8AEEARwBOAFYAXQBlAGwAcwB5AH0AgACDAIUAhwCKAI4AlACbAKQArwC7AMgA1ADeAOYA6gDpAOQA2wDOAL4ArQCcAI0AgAB4AHUAdQB6AIEAiwCUAJ0AowCmAKcApACfAJgAkACIAIEAewB2AHIAcABuAG0AbQBtAG0AbgBxAHQAegCAAIgAkQCZAKAApgCqAKsAqQClAKAAmQCTAI4AigCHAIcAiACKAI0AkACSAJMAkgCRAI4AigCHAIQAggCBAIEAggCDAIUAhwCIAIgAiACHAIYAhQCEAIQAhACGAIgAigCNAI8AkgCUAJUAlgCXAJgAmQCaAJsAnQCeAJ8AngCcAJgAkgCIAHwAbgBeAEwAOwArABwADwAF////+v/4//j/+P/4//j/9v/0//D/6//n/+L/3v/c/9v/2//d/+D/5P/n/+r/6//s/+z/6v/p/+f/5v/k/+T/5f/m/+f/6f/r/+3/7//w//D/8f/w/+//7v/s/+j/5P/e/9f/0P/I/8D/uv+1/7H/sf+y/7X/uP+7/7v/uP+w/6L/j/92/1n/OP8V/vH+z/6u/pH+d/5g/kz+Of4m/hL9/v3n/c/9tf2b/YH9af1S/T79LP0e/RH9B/z+/PX87fzk/Nz80/zK/MP8vfy4/LX8tfy4/L38w/zL/NX83/zp/PT8/v0H/RD9F/0e/SL9Jv0o/Sj9J/0k/SD9Gv0U/Q39Bvz//Pj88fzr/Ob84fzd/Nn81vzS/ND8zfzK/Mj8xfzD/MD8vfy5/LX8r/yp/KH8mfyQ/If8fvx2/HD8a/xo/Gf8afxt/HP8e/yD/I38l/yi/K78u/zJ/Nj86fz7/Q39IP0x/UD9TP1T/VT9Tv1C/TD9GPz7/Nv8uvyZ/Hn8W/xB/Cv8GfwL/AL7/fv8+//8BfwN/Bn8Jvw2/Eb8Vvxm/HX8gvyM/JP8l/yW/JL8ifx9/G78WvxE/Cv8EPvz+9X7tvuX+3n7XPtB+yf7D/r5+uT60Pq7+qb6kPp5+mD6Rfop+gz57/nR+bP5lfl3+Vr5Pfkh+QX46vjR+Ln4oviO+Hv4avhc+E/4RPg6+DL4LPgn+CT4I/gk+Cf4K/gx+Db4O/g++D74Ovgz+Cn4HPgO+AH39ffu9+z38Pf6+Av4Ifg8+Fn4dviU+LD4y/jk+P35FPkt+Uf5Yvl/+Zz5ufnV+e76BPoU+iH6Kfov+jP6OPo/+kr6Wfpu+of6pfrF+ub7Bfsi+zv7T/te+2f7bPtu+237avtm+2H7XftZ+1X7U/tR+1L7VPtY+1/7aft2+4T7lPuk+7L7vvvG+8r7yfvE+7v7sfun+6H7n/ul+7P7zPvv/Bv8TvyH/ML8/v02/Wj9k/22/dD94/3x/fr+BP4P/iD+OP5Y/oL+tf7w/zH/dv+7//8APQB1AKUAzQDtAQcBHQEyAUkBZAGGAbEB5QIiAmcCsgMAA08DnAPkBCUEXgSNBLQE0wTqBP0FCwUXBSEFKgUzBToFQQVHBUsFTwVSBVYFXAVkBW8FfgWRBacFvwXZBfQGDgYnBj8GVwZxBo4GsQbbBw4HSgeOB9gIJQhxCLcI8gkfCToJQgk2CRkI7Qi4CH4IRQgRB+YHyQe5B7YHwQfVB/EIEgg0CFYIdgiSCKsIwgjXCOwJAwkcCTgJWQl/CaoJ2QoMCkIKewq0Cu4LJwteC5QLxwv3DCUMUgx9DKcM0Qz7DSUNUA17DaUNzQ3xDhIOLg5EDlQOXw5kDmYOZQ5jDmEOYA5iDmcObw58DosOnQ6yDsgO4A75DxIPLA9GD2APeg+TD6wPww/ZD+4QARATECQQNBBEEFUQZxB6EJAQqBDCEN8Q/REdET8RYhGFEakRzBHvEhISMxJSEm4ShxKdEq8SvRLIEtAS1hLcEuES5xLvEvkTBBMQExwTJRMrEy0TKRMfExES/xLsEtoSzBLDEsISyhLbEvMTERMxE1ITcBOIE5kToROhE5kTixN7E2kTWRNOE0gTSRNRE18TchOIE6ATtxPNE98T7RP4E/4UAhQFFAYUCRQPFBcUIxQyFEUUWhRvFIQUlxSlFK4UsBSrFJ8UjRR2FFsUPxQiFAcT7xPbE8wTwRO6E7YTtRO2E7gTuhO8E70TvhO/E78TwBPAE8ATwRPCE8MTxBPGE8cTyRPKE8sTzBPME8sTyhPHE8MTvhO3E7ATqBOfE5YTjhOGE38TeBNyE20TZxNhE1oTUxNLE0MTOxMzEywTJhMiEx8THhMdE2oTaBNjE1wTUxNHEzgTKBMYEwcS9hLlEtYSxhK4EqkSmhKKEnkSaBJWEkQSMxIiEhISAhHzEeQR1RHFEbQRoRGNEXgRYhFMETURHxEKEPUQ4BDMELgQpBCREH8QbxBgEFUQTRBIEEYQRBBCED0QMxAiEAgP5g+7D4cPTQ8ODs0OjA5ODhMN3Q2rDX4NVg0wDQ0M7AzNDK8Mkgx2DFwMQgwpDA8L8wvVC7MLjQtiCzMLAQrMCpUKXwopCfcJyAmcCXQJTwkuCQ8I8gjWCLwIowiMCHQIXghHCDAIFwf+B+IHxQemB4YHZQdFBycHCwbxBtsGyAa4BqsGoAaXBo8GhwaABnkGcgZrBmQGWwZSBkYGNwYmBhIF+wXhBcYFqgWOBXMFWgVDBS4FGgUIBPYE4wTOBLcEngSCBGYESQQsBBED+APiA84DvQOuA6ADkgODA3MDYgNPAzoDJQMPAvkC4wLPArwCqgKaAosCfQJvAmICVAJGAjYCJQISAf4B6AHQAbcBnQGCAWcBTQE0AR0BCgD5AOwA4gDcANgA1wDYANoA3ADgAOMA5QDmAOYA5ADfANgAzgDAAK4AmAB+AGAAPwAd//n/1f+z/5L/df9b/0b/M/8k/xj/Df8C/vj+7v7i/tb+yf68/q/+o/6Y/o7+hf59/nb+b/5o/mD+V/5M/kH+Nv4q/h7+FP4K/gL9+/31/fD96/3l/d/91/3N/cP9t/2r/Z79kv2G/Xz9c/1r/WX9X/1a/VT9T/1I/UH9OP0w/Sb9Hf0W/Q/9Cv0I/Qj9Cf0M/RD9FP0X/Rn9GP0V/Q/9B/z8/PD84/zV/Mj8uvyu/KH8lfyJ/Hz8b/xi/FT8SPw9/DP8Lfwp/Cn8K/wv/DP8N/w4/Df8Mvwp/Bz8DPv6++f71PvD+7P7pvub+5H7ifuB+3n7cfto+2D7WftU+1L7UvtW+177Z/ty+337h/uO+5L7kvuP+4n7gft4+2/7Z/tg+1v7VvtS+037Rvs/+zX7Kfsd+xH7Bfr7+vT67/ru+vD69Pr6+wH7CPsQ+xf7Hfsj+yn7MPs2+zz7QvtH+0r7SvtI+0H7N/sq+xr7CPr1+uL60frD+rf6sPqs+q36svq7+sj62Prq+v/7Ffsr+0L7WPtt+4D7kfug+6z7tvu/+8f7zvvV+9z74/vq+/H7+Pv+/AP8BvwJ/Av8DPwN/A78EPwS/Bb8G/wg/Cf8Lfw0/Dr8QPxF/Er8TvxR/FT8VvxY/Fv8Xvxi/Gf8bvx2/H/8ifyU/KD8rPy3/MH8y/zT/Nr84Pzm/Oz88/z7/QT9Dv0Y/SP9Lv03/T/9Rv1K/Uz9Tf1N/Uz9S/1M/U39Uf1W/Vz9ZP1s/XT9fP2D/Yr9kP2V/Zv9oP2m/a39tf2+/cj90/3f/e39+/4L/hv+LP4+/lD+Yv5z/oL+kf6d/qj+sP63/rz+wf7F/sr+z/7V/tv+4v7q/vH++f7//wX/C/8R/xf/Hf8l/y//Ov9G/1P/YP9s/3f/gv+K/5H/l/+c/6H/qP+v/7j/wv/O/9r/5f/v//b/+//8//r/9f/v/+j/4f/c/9n/2P/b/+H/6f/y//0ACAATABwAJQAsADIAOAA8AEEARQBKAE8AVQBbAGEAZgBsAHEAdQB5AHwAfwCDAIcAjACTAJsApACuALkAwwDMANMA1gDVANAAxwC6AKsAmwCKAHwAcQBpAGcAaQBvAHkAhACRAJwApgCtALIAtACzALEArgCqAKYAogCfAJsAmACVAJEAjgCKAIcAhQCFAIYAigCQAJcAnwCoALAAtgC6ALsAugC3ALIArQCnAKIAngCbAJoAmgCaAJsAmwCaAJgAlgCSAI4AigCHAIQAggCCAIMAhQCHAIsAjgCSAJYAmgCdAKEApACnAKkAqwCtAK0ArQCtAKwAqgCoAKcApQCkAKQApQCmAKcAqACoAKcApACeAJcAjQCAAHEAYQBPAD4ALAAdABAABf/9//j/9v/2//f/+f/7//v/+//5//X/8P/q/+T/3f/Y/9P/0P/O/8z/zP/M/8v/y//K/8n/yP/H/8f/yP/K/87/0v/Y/93/4//o/+z/7v/w//D/7//t/+v/6P/k/+H/3f/Y/9P/zv/K/8b/xP/E/8b/y//S/9v/5f/v//b/+//7//X/6f/X/7//o/+D/2H/Pv8c/vv+3P6//qP+if5u/lT+OP4c/f794P3D/ab9i/1z/Vz9Sf03/Sj9Gf0M/QD89Pzo/Nz80fzH/L38tvyw/Kv8qPyn/Kf8qPyp/Kz8rvyy/Lb8uvy//MX8y/zR/Nf83Pzh/OX86fzq/Ov86/zq/On85/zl/OL84Pze/Nv82fzX/Nb81PzS/NH80fzR/NH80/zU/Nb81/zY/Nj81vzT/M78x/y+/LX8q/yh/Jj8kfyN/Iz8jvyT/Jv8p/y0/MP80vzj/PT9Bf0W/Sj9Of1K/Vr9af11/X39gf1+/XX9Zf1O/TH9D/zo/MD8l/xw/Ez8K/wQ+/r76vvf+9n72Pvc++P77vv9/A78Ifw1/Er8Xvxx/IL8kPya/J/8oPyd/JT8iPx4/GT8TPwy/Bb79/vX+7f7lvt3+1n7Pfsj+wz69/rl+tP6wfqw+pz6hvpu+lT6N/oZ+fn52Pm3+Zf5d/lY+Tr5HfkA+OP4x/is+JL4evhj+FD4P/gw+CX4G/gU+A/4C/gJ+Aj4CPgJ+Av4DvgR+BP4FPgT+A/4B/f99+733vfM97v3rfej96D3o/et97731vfx+BD4MPhP+G34ifii+Lr40fjo+QD5Gfkz+U/5avmF+Z35svnD+c/52Pne+eP56Pnv+fn6CPob+jP6T/pt+oz6qvrE+tv67fr4+v/7APr9+vf67/rm+tz60/rM+sb6wvrA+sL6xvrN+tf65Pry+wH7EPse+yv7Nfs8+z/7QPs++zv7Ofs4+zz7RftV+2z7jPuz++H8FfxM/IT8u/zu/Rz9Qv1f/XT9gP2F/YT9gP18/Xv9f/2L/aD9v/3p/hz+WP6Z/t3/Iv9m/6X/3gASAEAAaQCPALMA2QECAS8BZAGfAeACKAJ0AsIDEANbA6ID4wQcBE0EdgSYBLIEyATYBOUE7wT3BP0FAQUEBQcFCgUPBRUFHgUrBTwFUQVrBYgFpgXFBeIF/QYTBiYGNgZFBlQGZwaABqIGzQcDB0MHiwfWCCIIaQioCNoI/wkTCRkJEgkBCOkIzwi3CKQIlwiSCJUIngitCL4I0AjhCPAI/AkGCQ0JFAkbCSUJMwlGCV4JfgmkCdAKAgo5CnMKsArvCy0LagulC90MEgxEDHEMnQzGDO4NFQ09DWUNjg24DeAOBw4rDkoOYw52DoIOiA6IDoQOfg53DnEObw5xDngOhQ6WDqsOxA7fDvoPFg8xD0sPZA99D5QPrA/DD9oP8BAHEBwQMRBFEFgQaRB7EIwQnhCyEMcQ3xD6ERgROBFbEYARphHNEfQSGhI/EmQShhKmEsIS3BLxEwITDxMWExoTGhMYExUTEhMRExITFxMeEykTNBNAE0oTUhNWE1YTUxNPE0sTSRNLE1ITXxNzE4wTqBPFE98T9RQDFAgUBRP5E+YT0BO4E6MTlBOLE4sTkxOjE7kT1BPwFAsUIxQ3FEYUUBRVFFgUWBRYFFkUXRRjFG0UehSKFJsUqxS6FMYUzhTQFM0UxBS2FKQUjhR3FGAUSRQ1FCQUFhQMFAUUARP/E/8UABQCFAQUBxQKFA0UEBQTFBcUGxQeFCEUIhQiFCEUHxQbFBcUExQPFAsUCBQGFAUUBBQCFAAT/RP4E/IT6hPhE9cTzRPCE7kTsBOoE6ATmhOUE48TiROEE34TeRN1E3ETbhNtE2wTbBNrE5sTkxOJE30TbxNeE0wTORMmExMTAhLxEuIS1BLHErkSqxKcEosSeRJmElISPhIqEhYSAhHvEdwRyRG0EZ8RiBFxEVkRQhEqERQQ/xDsENkQxxC1EKMQkBB9EGkQVxBHEDsQMhAuEC0QLxAxEDIQLhAjEA8P8Q/ID5UPWg8aDtgOlw5YDh8N7Q3BDZwNew1fDUUNKw0SDPgM3gzBDKQMhgxnDEUMIgv7C9ELpAtzCz8LCQrSCpoKZAoxCgAJ0wmpCYMJXwk+CR4JAAjjCMcIrAiSCHkIYQhKCDIIGggAB+UHyQerB4wHbQdPBzMHGQcDBvAG3wbSBsYGvAayBqgGnwaVBosGgQZ3Bm0GYgZWBkkGOQYmBg8F9gXZBbsFmwV8BV4FQwUqBRME/wTsBNkExQSwBJkEgARkBEgEKwQPA/YD3wPLA7oDrAOgA5QDiQN8A24DXgNMAzgDIwMNAvcC4gLOArsCqgKaAosCfgJwAmQCVwJJAjoCKgIYAgQB7wHXAb4BpAGJAW4BVAE8ASYBEgECAPUA6wDlAOEA3wDgAOMA5gDqAO4A8QDyAPIA7gDnANsAygC0AJkAegBXADEACf/h/7r/lv91/1n/Qv8w/yL/F/8P/wn/A/79/vX+6/7f/tH+wv6x/qD+kP6A/nL+Zf5Z/k/+Rf47/jL+KP4e/hT+Cv4A/fb97v3m/d/92P3S/cz9xf2+/bX9rP2i/Zf9jf2C/Xn9cf1p/WP9Xv1Z/VT9T/1K/UP9O/0y/Sj9Hv0U/Qv9A/z9/Pn8+Pz4/Pv8//0F/Qr9EP0U/Rb9Fv0T/Q79Bfz6/O383/zQ/MH8sfyj/JT8hvx3/Gn8WvxM/D38MPwk/Br8E/wP/A78D/wS/Bf8Gvwc/Bv8FvwN+//77/vc+8j7tPui+5H7hPt5+3D7aPti+1v7VftP+0n7Q/tA+0D7QvtI+1H7XPto+3P7fPuD+4T7gft5+277X/tO+z37LPsc+w36//ry+ub62vrO+sP6ufqx+qz6qvqt+rP6vvrN+t367vr/+w37Gfsi+yj7K/st+y37Lfst+y77L/sw+y/7LPsm+xz7Dvr8+uj60/q9+qr6mfqN+oX6g/qH+pD6nfqv+sP62vry+wz7Jfs++1b7bPuB+5P7o/ux+737x/vP+9f73vvl++z78/v6/AH8B/wN/BH8FPwW/Bj8GPwZ/Bn8GPwY/Bn8Gfwa/Bv8HPwd/B/8Ivwl/Cn8Lvwz/Dr8QfxI/E/8Vvxd/GT8a/xy/Hn8gvyK/JP8nPym/K78tvy+/MT8yvzP/NX83Pzk/O38+P0F/RL9IP0u/Tr9RP1L/VD9Uv1S/VD9Tv1L/Un9SP1J/Uv9T/1U/Vn9YP1m/W39dP17/YL9if2R/Zn9ov2s/bb9wf3N/dn95f3y/f/+Df4c/iz+PP5M/lz+bP57/on+lf6f/qn+sf64/r/+xv7N/tX+3P7k/uv+8v75/v7/A/8I/w3/E/8Z/yD/Kf8y/z3/R/9S/1z/Zf9s/3P/ef9//4X/jP+V/6D/rP+6/8j/1v/j/+3/9P/4//n/9v/y/+z/5v/h/97/3v/g/+b/7f/3AAIADQAXACEAKAAuADIANQA3ADgAOQA7AD4AQgBHAE4AVQBdAGYAbgB1AHwAggCHAIsAjwCTAJgAnQCiAKgArwC0ALkAuwC7ALgAsQCoAJ0AkQCFAHoAcQBsAGoAbABxAHkAggCLAJUAnQCjAKgArACuALAAsQCzALQAtgC4ALgAuAC2ALMArwCqAKUAoQCfAJ4AoACjAKkAsAC3AL4AxADJAMsAywDKAMcAxADBAL4AvAC6ALgAtwC1ALMAsACsAKgAowCfAJoAlwCVAJMAkwCUAJYAmACbAJ8AowCoAK0AtAC7AMIAyQDPANUA2ADaANoA1wDSAM0AxgC/ALkAtACwAK4ArQCtAK0ArACqAKcAoQCZAI4AggBzAGMAUQBAAC8AHwARAAT/+v/z/+7/7P/s/+3/7//y//T/9f/0//L/7//r/+b/4f/d/9n/1//W/9b/1v/X/9f/1//W/9T/0//R/8//zv/P/9H/1P/Y/97/4//o/+3/8P/z//T/9P/0//T/8//y//H/8P/v/+7/7P/q/+j/5//m/+f/6f/t//P/+gABAAgADAAOAAwABf/5/+n/1P+8/6H/hf9p/0z/L/8T/vf+3P7A/qT+h/5r/k7+Mf4V/fv94f3J/bP9nf2I/XT9X/1K/TX9H/0L/Pb85PzT/MX8ufyw/Kn8pPyg/J38m/ya/Jj8mPyY/Jj8mvyd/KH8pfyr/LD8tvy8/MH8xfzJ/Mz8zvzQ/NL81PzW/Nf82fza/Nv82/zc/Nz83Pzd/N783/zi/OX86fzt/PL89vz5/Pv8+/z6/Pb88fzp/OD81/zO/Mb8v/y8/Lv8vfzD/M382fzn/Pj9C/0e/TP9Sf1f/XX9i/2g/bP9w/3O/dP90P3E/a/9kv1s/T/9DfzZ/KX8c/xH/CD8Afvq+9r70vvP+9L72Pvi++77/PwL/Bz8LvxB/FP8Zfx2/IP8jvyV/Jf8lfyO/IP8c/xf/Ej8L/wS+/X71vu2+5f7ePtb+z/7JvsP+vr65/rV+sT6svqf+on6cfpV+jf6GPn2+dT5s/mR+XH5U/k1+Rj4+/jf+ML4pviL+HH4WPhC+C/4HvgR+Ab3/vf49/P37/fr9+j35ffj9+L34vfj9+T35ffk9+L33PfT98b3tvej95H3f/dw92b3Yvdl93D3gfeX97L3z/fs+An4JvhA+Fn4cviK+KT4vvja+Pb5Evku+Ub5XPlt+Xr5g/mJ+Y35kfmX+aD5rPm++dP57PoI+iT6P/pY+mz6e/qF+oj6h/qA+nb6avpc+k76Qfo2+i76Kfoo+iv6M/o/+k/6Y/p4+o/6pfq6+s363frp+vL6+Pr8+v/7A/sI+xH7H/sy+0r7afuO+7j75fwV/Eb8dfyh/Mn86v0E/RX9H/0h/R39Fv0M/QT8//0A/Qr9Hf08/WX9mf3V/hj+YP6q/vT/PP+A/8D/+wAwAGIAkQC9AOoBGAFIAXsBsgHtAisCawKtAu8DLwNtA6cD3AQLBDUEWQR3BI8EogSxBLsEwgTGBMkEywTPBNQE3ATpBPoFEQUsBUwFbwWTBbYF1wX1Bg4GIgYzBkIGUQZiBngGlQa7BuoHIQdeB6AH5AglCGIIlwjECOgJAwkWCSQJLgk3CT8JSQlUCV8Jagl1CX0JggmECYIJfgl4CXMJbwlvCXQJgAmSCawJzgn2CiUKWAqQCssLCAtGC4MLvwv5DDAMZAyTDL8M6A0ODTINVA13DZkNvA3fDgIOIw5CDl0Ocw6DDo0OkQ6QDosOhQ5/DnsOew6ADooOmQ6uDscO4g7+DxsPNg9PD2YPfA+QD6QPuA/ND+MP+hASECsQRBBdEHUQjBCjELkQzxDmEP8RGhE5EVsRfxGmEc4R9xIfEkYSahKMEqsSxxLgEvcTChMaEyYTLhMzEzQTMhMuEygTIxMhEyETJRMvEz0TThNhE3UThxOXE6MTrBOyE7cTvBPDE84T3hPzFAsUJRQ/FFUUZRRsFGoUXhRKFDAUFBP5E+IT0xPNE9IT4BP2FBIUMhRRFG4UhhSZFKcUrxSzFLUUthS3FLoUvhTFFM0U1hTfFOcU6xTtFOoU5BTaFMwUvBSqFJkUiBR5FG0UYxRdFFkUWBRYFFkUWhRbFFwUXBRcFFwUXBRdFGAUYxRoFG4UdBR5FH0UgBR/FHwUdhRvFGUUWxRRFEcUPxQ4FDMULxQsFCkUJhQjFB8UGRQTFAsUBBP8E/UT7hPpE+QT4BPcE9gT1BPQE8sTxhPAE7sTthOxE6wTpxOiE7MTphOZE4oTehNpE1cTRRMzEyETERMCEvQS5hLYEsoSuRKnEpMSfBJkEksSMRIXEf4R5hHOEbcRoBGIEXARWBE/ESYRDhD3EOMQ0hDCELUQqBCcEI4QgBBvEFwQShA4ECkQHRAWEBQQFRAZEBwQHBAXEAkP8Q/PD6MPbg8zDvYOuA5+DkgOFw3tDckNqQ2LDW4NUg0zDRQM8gzODKkMggxbDDIMBwvbC6wLewtICxMK3gqpCnYKRQoXCe4JxwmkCYQJZQlICSoJDQjwCNIItQiZCH8IZghNCDYIHggHB+8H1ge8B6IHiAdvB1kHRAcyByIHEwcGBvkG6wbdBswGuwaoBpUGgwZxBmAGUQZCBjMGJAYTBgAF6gXSBbkFngWCBWcFTQU1BR4FCATyBN0ExgSuBJQEeQRcBD4EIQQGA+wD1QPCA7EDogOUA4gDewNuA2ADUANAAy4DHAMJAvcC5QLUAsMCtAKlApcCigJ+AnICZgJZAksCPAIrAhgCAgHqAdABtQGZAX4BZAFMATcBJAEVAQgA/gD2APEA7QDqAOkA6QDpAOoA6wDrAOkA5QDcAM8AvACjAIUAYgA6ABD/5f+7/5T/cP9S/zn/Jv8Z/xD/Cv8H/wT/Af78/vX+6/7f/s/+vf6q/pb+gv5v/l3+TP49/i/+I/4Y/g7+BP37/fL96f3h/dr90v3L/cT9vf22/a79pf2b/ZD9hv17/XH9aP1g/Vv9Vv1U/VL9UP1N/Ur9Rf0+/TX9Kv0f/RP9B/z9/PT87fzp/Ob85/zo/Oz88Pz1/Pr8//0C/QT9BP0C/P389fzr/N/80PzA/K78nfyL/Hn8aPxY/Ej8Ovws/CD8FPwK/AL7+/v2+/T78/vz+/P78/vx++375vvc+877vvus+5n7h/t2+2j7XPtT+037SPtD+0D7PPs3+zP7L/ss+yv7LPsw+zX7PftF+037U/tW+1b7UftJ+z37L/se+w36+/rq+tr6yvq6+qv6nfqQ+oT6evp0+nL6dfp++ov6nfqy+sn63/rz+wT7EPsY+xz7Hfsc+xv7Gvsb+xz7Hvsg+yD7HPsU+wj69/rh+sn6sPqY+oP6dPpq+mf6a/p2+ob6mvqx+sr65Pr/+xj7MvtL+2L7efuO+6L7tPvE+9P73/vq+/L7+fv//AT8B/wK/A38DvwP/BD8EfwS/BT8FvwZ/Bz8H/wj/Cb8KPwp/Cr8Kfwo/Cf8J/wo/Cv8MPw3/ED8SvxV/F/8afxy/Hn8fvyC/IX8h/yI/Iv8jvyR/Jb8m/yh/Kj8r/y4/MH8y/zX/OT88/0E/RX9Jv02/Ub9Uv1c/WP9Zv1l/WL9Xf1X/VD9Sv1F/UH9P/0//UH9RP1I/U79VP1c/WT9bf13/YH9jP2X/aP9rv26/cX90f3c/ej99P4B/g/+Hv4t/jz+TP5b/mr+eP6E/pD+mv6k/q3+tv6+/sb+zv7W/t7+5P7q/vD+9P75/v3/Af8G/wz/E/8b/yT/Lv83/0D/SP9P/1X/Wv9f/2T/av9y/3v/hv+T/6H/r/+9/8n/1P/c/+H/5P/m/+b/5f/m/+f/6//w//cAAAAJABMAHAAlACsALwAxADEAMAAuACsAKQAoACkALAAyADoARABPAFoAZgBxAHoAgQCHAIoAiwCLAIoAigCJAIoAjACOAJEAlACXAJgAmACXAJYAkwCRAI8AjgCPAJEAlACYAJwAnwCiAKMAowCjAKMAowCkAKcArQC0ALwAxgDOANYA2wDeAN4A2wDWANAAygDEAMAAvwDAAMIAxwDMANEA1QDZANwA3QDdAN0A3QDcANsA2gDZANYA0wDOAMgAwQC7ALQArgCpAKcApgCnAKkArQCwALQAtwC6AL0AwADEAMkAzwDXAOAA6QDxAPkA/gEAAP8A+gDzAOoA4ADWAM0AxQC+ALoAtgC0ALEArgCqAKMAmwCRAIUAdwBpAFoASwA9AC4AIQAUAAkAAP/5//P/8P/v/+//8f/0//f/+f/7//v/+//5//f/9P/y//L/8v/z//b/+f/8//8AAAAA//7/+//2//H/7P/o/+X/4//k/+X/6P/r/+7/8f/0//f/+f/8//4AAQAFAAkADgASABYAGAAZABkAGAAWABMAEQAOAAwACwAKAAoACQAGAAL/+//x/+T/1P/C/67/mP+C/2v/VP89/yf/Ef78/uf+0/6//qz+mf6G/nT+Yf5O/jr+I/4K/e790P2v/Y39a/1J/Sn9DPzy/N38zfzB/Lj8svyv/Kz8qvyp/Kf8pfyk/KP8o/yj/KT8pvyo/Kv8rvyw/LP8tvy4/Lv8vvzC/Mf8y/zQ/NX82vze/OH84/zl/Ob85vzn/Oj86vzt/PH89fz6/P/9BP0I/Qv9DP0N/Qz9Cf0G/QL8/fz5/PX88/zy/PP89vz8/QT9Dv0b/Sn9O/1P/WX9ff2Y/bP9z/3p/gD+Ev4d/h7+FP3//d39sf16/T38/fy8/H/8SPwa+/b73vvQ+8v7zfvW++H77/v9/Av8GPwk/DD8O/xG/FL8Xfxn/G/8dfx3/Hb8cPxm/Fj8Rvwx/Bn7//vk+8j7q/uP+3P7WPs++yb7EPr7+uf61PrA+q36mPqB+mf6TPou+g757fnM+az5jPlu+VH5Nvkb+QD45vjL+K/4k/h3+F34RPgu+Bv4C/f+9/P36/fj99v30/fL98L3ufex96v3qPem96f3qvet97D3sPet96X3mfeI93X3YPdM9zv3L/co9yn3Mfc/91L3aveE95/3u/fW9/L4Dfgo+ET4YviA+J/4vvjb+PX5DPke+Sv5NPk6+T35QPlE+Ur5VPlj+XX5i/mj+bv50vnn+ff6A/oJ+gr6Bfn8+fH54/nU+cX5uPmu+af5pfmn+a/5vfnQ+ej6BPoj+kP6Y/qC+p76tvrK+tr65/rw+vb6/PsD+wv7Ffsk+zf7T/tr+4v7r/vW+/38JfxL/G78jfym/Lr8yPzQ/NP80/zS/NL81Pzc/On8//0d/UT9dP2r/er+Lf5z/rz/BP9K/47/zQAHADwAagCTALYA1gD0AREBLwFRAXYBoQHRAgcCQgKBAsIDAwNCA34DtAPlBA8EMgRPBGUEdgSCBIsEkgSYBJ4EpgSvBL0EzwTlBP8FHgVABWUFigWvBdEF8QYPBikGQQZYBnAGiwaqBs0G9wcmB1sHkwfOCAkIQwh6CK4I3QkICS8JUglyCY8JqAm+CdAJ3QnmCekJ5wnhCdgJzQnCCbkJtAm1CbsJyQneCfoKHApECnAKnwrRCwULOwtyC6kL4AwWDEoMfQytDNkNAw0pDUsNbA2KDagNxA3hDfwOFw4wDkgOXA5sDnkOgg6HDooOiw6MDo8OlA6dDqoOvA7RDukPAg8cDzYPTQ9iD3YPhw+XD6cPuA/LD+AP+BASEC4QTBBqEIgQpRDBENwQ9xESES8RTRFvEZMRuRHhEgoSMRJXEnkSlxKyEsgS3BLtEvwTCRMWEyETKxM0EzoTPhNBE0ITQxNFE0oTUxNfE28TghOXE6sTvRPLE9QT2RPaE9oT2hPeE+cT9xQOFCwUTRRwFI8UqBS4FL4UuBSoFJEUdhRaFEIUMRQoFCkUMxREFFsUdBSNFKQUuRTJFNYU4RTqFPQU/RUIFRMVHhUpFTEVNhU3FTMVKxUeFQ0U+hTnFNQUwxS1FKsUpRSjFKUUqRSvFLYUvBTBFMQUxRTDFL8UuRSzFK0UqRSlFKQUphSpFK4UsxS4FLwUvhS9FLoUtBSsFKEUlhSKFH4UcxRqFGIUXBRXFFMUTxRMFEgURRRBFD0UOBQ0FDEULRQqFCgUJRQiFB8UGxQWFA8UBxP/E/UT6hPgE9UTyhO/E78TshOjE5UThRN1E2MTURM/Ey0TGxMJEvgS5hLTEr8SqhKSEngSXRJAEiISBRHpEc8RthGfEYgRcxFcEUYRLhEWEP0Q5RDPELwQqxCeEJMQiRCBEHcQbBBfEE8QPhAtEBwQDxAGEAEQABACEAYQBxAED/oP6A/MD6YPeA9DDwsO0g6ZDmQOMw4FDdwNtA2ODWgNQA0XDOwMwQyUDGcMOwwOC+ILtguKC1wLLgr+Cs4KngpvCkMKGwn2CdYJuQmfCYcJbwlXCT0JIgkFCOcIyQirCI4IcghXCD4IJggPB/cH4AfIB7AHmQeCB20HWgdIBzgHKQcaBwoG+QbmBtEGugahBokGcQZaBkYGNAYkBhYGCgX9BfAF4QXRBb8FqwWWBYAFagVTBTsFIwUKBPAE1QS4BJoEewRcBD0EHwQDA+oD0gO+A6sDmgOKA3oDawNcA00DPgMvAyEDFAMHAvoC7QLhAtUCyQK8ArACpQKZAo4CgwJ3AmoCXAJKAjYCHgIEAecByQGqAY0BcgFZAUQBMwElARoBEQEJAQIA+wD1AO8A6gDmAOIA3wDcANgA0gDJALsAqACQAHEATgAn//7/1P+r/4b/Zf9J/zL/If8V/w3/B/8D/v/++v70/uv+3/7R/sD+rv6Z/oX+cP5b/kj+Nv4m/hf+Cf3+/fP96v3h/dn90v3L/cX9vv24/bH9qf2h/Zj9jf2C/Xf9a/1g/Vb9Tv1I/UT9Qf1A/T/9Pf06/TX9Lv0l/Rr9Df0A/PP85/zd/Nb80fzO/M78z/zR/NT81/za/N383/zi/OP85fzk/OL83vzX/M38wPyv/Jz8h/xx/Fr8Rfwx/B/8D/wB+/b77Pvk+9372PvT+8/7y/vI+8T7wPu7+7X7rfuj+5f7ift7+2z7XvtR+0X7PPs0+y/7Kvsn+yT7IPsc+xj7E/sO+wn7BfsD+wL7AvsD+wT7BfsF+wP7APr7+vX67frl+t361PrM+sP6uvqw+qX6mvqP+oT6e/p0+nL6dPp7+of6lvqp+rz60Prh+u/6+fsA+wT7BvsI+wr7DvsU+xv7Ifsn+yn7Jvsd+w76+Pre+sH6pPqK+nX6Zvpg+mL6bfp++pP6rPrH+uL6+/sU+yr7QPtU+2n7ffuR+6X7ufvM+9777fv7/Ab8DvwT/Bb8FvwU/BD8C/wG/AH7/fv6+/n7+/wA/Ab8D/wY/CL8Kvwy/Df8O/w8/Dz8PPw8/D78QfxG/E78WPxi/G38d/x//IX8iPyI/If8hPyA/Hz8efx4/Hj8e/yB/In8k/yf/K38vfzO/OD88/0H/Rv9Lv1B/VH9X/1p/XH9dP10/XH9a/1j/Vr9Uf1J/UH9PP04/Tf9OP07/T/9Rf1M/VT9Xf1m/XD9ev2E/Y79mP2i/a39uP3D/c792v3n/fT+Av4Q/h7+LP47/kn+Vv5i/m7+ev6E/o/+mP6i/qv+tP69/sX+zP7S/tj+3f7h/ub+6/7w/vf+/v8H/xH/Gv8k/y7/Nv89/0P/SP9N/1H/Vf9b/2L/av90/4D/jf+Z/6b/sv+8/8b/zv/U/9r/4P/m/+3/9P/8AAUADgAXAB8AJwAsADAAMgAyADAALAApACUAIgAhACIAJQArADMAPgBKAFcAZABvAHkAgQCGAIgAiACGAIMAgAB9AHsAewB8AH4AgQCGAIsAkQCWAJ0AowCqALIAugDCAMkA0ADVANcA1wDUAM8AyQDCALwAuQC5AL0AxgDSAOAA8AD/AQwBFQEbARsBGAERAQkA/wD2AO8A6wDpAOkA6wDuAPEA9AD3APgA+QD6APoA+gD6APkA+AD1APEA6wDjANkAzwDEALsAtACwAK8AsQC2AL0AxQDNANUA2wDfAOIA5QDoAOwA8AD3AP4BBgEOARUBGgEcARsBFwEQAQcA/QD0AOsA4wDdANcA0wDOAMgAwQC4AK4AoQCUAIYAeQBrAF4AUgBHAD0AMwAqACIAGQATAA0ACQAHAAcACQAMABAAEwAXABkAGgAaABkAFwAWABYAFgAZABwAIAAkACgAKgAqACkAJQAfABkAEQAKAAT////7//n/+f/5//n/+v/7//z//gAAAAMACAAOABUAHQAlAC0AMwA4ADoAOgA3ADIALAAlAB4AFwAQAAoABP/9//X/7P/h/9T/xf+0/6L/jv96/2b/U/9C/zL/JP8Y/w//B/8A/vv+9v7w/un+3/7S/sH+q/6P/m3+R/4d/fD9w/2W/W39SP0p/Q/8/Pzu/OX83/zc/Nv82fzY/Nb80/zQ/M38yvzH/MX8w/zB/L/8vfy8/Lr8ufy5/Lr8vPzA/MX8y/zS/Nn84Pzl/On87Pzu/O/87/zv/PD88fzz/Pb8+vz+/QP9Cf0N/RL9Fv0Z/Rz9H/0h/SP9JP0m/Sj9Kv0s/S/9Mv03/T39RP1O/Vv9a/1+/ZX9r/3L/ej+Bv4h/jf+Rv5L/kX+Mf4Q/eH9p/1l/R380/yN/E38Fvvs+8/7vvu5+777yPvY++n7+fwI/BT8Hvwm/Cz8Mvw4/D78Q/xI/Ez8TfxL/Eb8PPwu/Bz8B/vv+9b7vPuh+4f7bvtV+z37JvsQ+vv65vrS+r/6q/qW+oD6afpQ+jb6Gvn9+eD5xPmo+Y35dPlc+Ub5MPkZ+QL46fjO+LL4lfh4+Fv4Qfgp+BT4A/f19+n33vfU98n3vPev96D3kveF93r3cvdu9273cPd193v3fvd/93v3cvdk91H3O/ck9w/2/fbw9ur26/by9wD3E/cp90H3W/d195D3q/fH9+T4A/gi+EL4YfiA+Jv4s/jG+NT43fjj+Ob46Pjs+PL4/PkJ+Rr5L/lE+Vr5bvl/+Yz5k/mU+ZH5ivl/+XP5Zvla+U/5R/lD+UP5SPlR+V/5c/mL+aj5x/nq+g76MfpU+nP6j/qn+rv6yvrV+t364/rp+u769fr++wr7G/sv+0f7Y/uB+6L7xPvl/AX8I/w+/FX8afx5/If8lPyh/LD8wfzW/O/9Dv0y/Vv9if27/fH+Kv5l/qH+3v8b/1f/j//E//MAHAA+AFgAbAB7AIcAkwCgALMAzADuARoBTgGLAc0CEwJaAp8C4AMdA1MDgwOsA9AD8AQMBCQEOwRPBGIEdASEBJUEpQS2BMoE4AT5BRYFNgVZBX8FpQXMBfMGGAY7Bl4GfwaiBsUG6wcUB0EHcgelB9sIEwhLCIMIuQjsCR0JSglzCZcJtwnSCegJ+AoCCgcKBwoECf4J9wnxCe4J7gnzCf0KDQohCjoKVwp2CpcKugreCwQLLAtWC4ILsQvjDBYMSQx8DK4M3A0HDS4NUQ1wDYwNpQ29DdMN6Q3/DhUOKw4/DlMOZQ52DoUOkg6eDqsOtw7FDtUO5w77DxAPJg88D1EPZg94D4kPmA+nD7UPxQ/WD+oQARAcEDgQVxB3EJcQtxDVEPMREBEtEUsRahGLEa8R1BH6EiASRBJmEoMSnBKxEsIS0RLeEusS+hMJExoTLBM+E08TXhNrE3YTgBOKE5QToROvE8AT0RPiE/AT+RP8E/gT7hPgE9ATwxO8E74TzRPoFA4UPRRxFKUU1BT5FRIVHhUcFQ8U+hTiFMkUtRSlFJ0UmxSfFKgUshS+FMkU1BTgFO0U/BUOFSMVOxVUFW0VgxWUFZ8VoRWbFY4VeRVhFUYVLBUVFQMU9hTxFPEU9xUBFQ0VGhUnFTEVOBU7FToVNRUtFSIVFRUIFPwU8RToFOIU3hTcFNwU3RTeFN4U3hTdFNoU1hTRFMoUwxS8FLUUrhSnFKIUnRSZFJUUkhSPFIsUiBSEFH8UehR1FG8UaRRjFF0UVxRRFEoUQxQ7FDIUKBQdFBAUAxP2E+gT2xPNE8gTuxOtE58TjxN+E2wTVxNBEyoTExL6EuISyhKxEpcSfRJiEkUSKBIKEe0R0BG2EZ4RiBF1EWMRUhFBES8RGxEGEO8Q2BDCEK0QmhCLEH4QdBBrEGIQWRBNEEAQMhAiEBMQBQ/7D/UP8Q/xD/EP8Q/sD+IP0A+2D5MPaA83DwIOyw6TDl0OKQ33DccNmA1oDTgNBwzVDKEMbww9DA0L3wuzC4oLYgs7CxQK7ArECpwKdQpQCi0KDQnyCdoJxgmzCaIJkAl9CWcJTQkxCRMI8wjSCLEIkgh0CFgIPAgiCAcH7AfRB7YHmweAB2YHTgc3ByMHEAb+BuwG2wbIBrQGoAaKBnUGYAZMBjoGKgYcBhAGBQX7BfAF5gXZBcwFvAWrBZcFggVrBVIFNwUaBPwE2wS5BJcEdARTBDMEFQP6A+EDywO2A6MDkQN/A20DXQNNAz4DMAMkAxoDEQMJAwEC+gLxAukC3wLUAskCvwK0AqkCnwKTAocCeAJlAk8CNQIXAfYB1AGxAZABcwFZAUQBMwElARoBEQEJAQAA9wDuAOQA2gDSAMsAxAC/ALkAsgCoAJsAiQByAFYANgAT/+3/yP+k/4P/Zv9N/zj/Jv8Y/wz/Af73/uz+4f7V/sf+uf6p/pj+hv50/mH+Tv47/in+F/4H/fn97P3g/db9zv3G/cD9uv20/a/9qv2k/Z39lv2O/YX9ev1v/WT9WP1N/UP9Ov0y/Sz9KP0k/SD9G/0V/Q39A/z4/Or83PzO/MH8t/yv/Kn8p/ym/Kj8qvyt/K/8sfyz/LX8t/y5/Lz8v/zD/MX8xvzE/L78s/yk/JD8efxf/ET8KvwS+/z76fvb+8/7x/vA+7v7t/uy+637qPui+5v7lfuO+4f7gPt3+2/7Zftb+1D7RPs5+y/7Jfsc+xX7D/sJ+wT6//r6+vT67frm+t/62PrR+sr6xfrA+r36u/q5+rj6t/q3+rf6uPq5+rr6vPq9+r76vvq8+rn6tfqv+qj6ovqd+pr6mvqe+qX6r/q7+sj61vri+uz69Pr6+v77A/sI+w/7GPsi+y77OPtB+0X7Qvs4+yf7D/ry+tP6tPqZ+oT6ePp1+nv6ivqf+rn61frw+wr7Ivs2+0j7WPtn+3b7hvuX+6n7u/vO++H78vwB/A78F/we/CH8IPwc/BX8DPwC+/f77fvl+9/73Pve++P77Pv4/Ab8Ffwi/C78OPw//EP8RfxG/Eb8R/xJ/Ez8UvxY/GD8Z/xt/HP8dvx3/Hf8dPxx/G78bPxr/Gz8cPx3/IH8jfyc/Kz8v/zS/Ob8+v0P/SL9NP1F/VX9Yv1s/XT9ef16/Xn9df1v/Wf9X/1X/U/9Sf1F/UL9Qv1E/Uf9S/1Q/Vb9W/1h/Wb9a/1x/Xf9fv2F/Y79mf2k/bD9vf3L/dn95/30/gL+D/4b/ij+M/4//kr+Vf5g/mv+dv6A/ov+lf6f/qj+sf64/r/+xv7M/tL+2P7g/uj+8f78/wf/Ev8d/yf/Mf85/0D/Rf9J/03/Uf9W/1v/Yf9p/3L/fP+G/5H/nP+n/7H/u//F/87/1//g/+n/8//8AAYADwAXAB8AJgArAC8AMgAzADQAMwAyADEAMAAwADIANAA5AD8ASABRAFsAZQBvAHgAfwCFAIgAigCKAIoAiQCJAIkAigCLAI4AkQCVAJkAngCkAKsAswC8AMcA0wDfAOsA9QD+AQMBBQEEAP8A+QDzAO4A7ADtAPQA/wEOAR8BMQFBAU8BVwFaAVcBUAFFATkBLAEhARgBEwERARIBFQEYARwBHwEgASEBIAEfAR4BHAEbARoBGAEUAQ8BBwD9APEA5ADXAMsAwgC8ALsAvQDDAMwA1wDiAO0A9gD+AQMBCAELAQ8BEwEYAR0BIgEnASsBLQEuASwBKAEjAR0BFwESAQ4BCgEHAQQBAAD6APIA5wDZAMoAuACmAJUAhQB3AGsAYABYAFEASgBEAD0ANwAxACwAKAAmACYAKAArAC8AMwA3ADoAPAA9ADwAOgA5ADgAOAA5ADsAPwBCAEUARwBHAEYAQwA/ADkAMgAsACYAIAAcABgAFQASAA8ADAAJAAYABAADAAMABgALABEAGQAhACkAMAA0ADYANQAxACsAIgAZAA8ABv/+//f/8P/q/+T/3P/U/8j/u/+r/5n/hv9z/2D/T/9A/zP/Kv8k/yL/Iv8k/yj/LP8v/y//LP8k/xb/Av7n/sb+n/50/kb+GP3r/cH9nP19/WP9T/1B/Tf9MP0s/Sj9JP0h/R39Gf0U/RD9DP0J/Qb9BP0B/P38+fz0/O/86fzk/OD83fzc/N383/zj/Of87Pzw/PP89vz3/Pj8+Pz5/Pn8+/z+/QH9Bv0M/RP9Gv0h/Sn9MP03/T/9Rf1M/VL9V/1c/WD9ZP1o/Wv9b/10/Xr9g/2O/Zz9rv3C/dr98/4N/if+Pv5Q/lz+X/5W/kL+If3z/br9ef0x/Of8nvxb/CD78PvM+7T7qPum+6z7tvvE+9L73vvp+/L7+vwA/Ab8C/wR/Bb8G/we/B/8HfwW/Ar7+vvm+8/7tfua+3/7Y/tJ+zD7GfsD+u362frG+rL6n/qM+nn6ZfpR+jz6J/oQ+fn54vnL+bX5oPmN+Xv5a/lc+U35Pfks+Rj5Afjm+Mn4qfiH+Gb4R/gp+A/3+Pfk99P3xPe196f3mPeI93j3Z/dY90r3QPc69zf3N/c69z33P/c/9zz3M/cl9xT2//bp9tT2wfaz9qr2qPas9rb2xPbW9uv3AfcX9y73R/dg93r3lve099L38fgP+Cr4QvhV+GT4b/h2+Hv4gPiG+I/4m/is+MH42Pjw+Qj5HPkr+TX5Ofk2+S/5I/kV+Qf4+vjw+Or46Pjq+PL4/fkN+SD5NflO+Wn5hvmk+cL54Pn++hn6M/pJ+lz6bPp4+oL6ifqP+pX6m/qj+q36uvrL+t/69/sR+y77Tfts+4v7qfvE+9779fwL/CH8NvxN/Gf8g/yj/Mb87P0V/T/9bP2Z/cf99f4k/lT+hf63/un/Gf9I/3L/mP+3/9D/4v/v//gAAAAKABgALQBKAHAAnwDWAREBUAGPAcwCBgI7AmwCmQLDAu0DFwNBA24DmwPIA/QEHgREBGUEgQSZBK4EwATTBOcE/wUaBTsFXwWHBbIF3QYJBjQGXgaHBq8G2AcCBy4HXAeNB8EH9ggtCGQImQjNCP8JLQlYCX4JoQm+CdgJ7Qn+CgsKFAobCiAKJAopCi8KOApCCk8KXwpwCoIKlAqnCrgKyQrbCu4LBAsdCzsLXwuIC7YL6AwdDFIMhgy4DOUNDg0xDVANag2BDZcNrA3CDdoN8w4NDikORQ5hDnsOlA6qDr8O0g7jDvQPBQ8XDykPPA9PD2MPdg+JD5sPrA+9D80P3g/wEAUQGxA1EFEQcBCPELAQ0BDvEQ0RKxFIEWURgxGjEcQR5hIJEisSTBJrEoUSnBKwEsES0RLiEvMTBxMeEzYTUBNqE4ITmROsE7wTyxPYE+YT9hQIFBwUMBRDFFEUVxRVFEkUNBQZE/wT4RPOE8cT0BPpFBIUSRSGFMYVAhU0FVkVbhV1FW8VYBVLFTUVIRURFQYU/xT9FP0U/hT/FQIVBhUNFRkVKxVDFWEVgxWmFcgV5RX5FgMWAhX1FeAVxBWkFYYVahVWFUkVRBVIFVIVYRVzFYUVlhWkFa0VshWyFa0VpBWZFYsVfBVtFV4VUBVEFTkVLxUmFR4VFxURFQsVBhUBFP0U+RT3FPUU9BTzFPIU8RTxFPAU7hTtFOsU6RTnFOMU3hTYFNAUxxS8FK8UohSTFIUUdxRqFF4UUhRHFDsUMBQkFBgUCxP+E/AT4xPWE8kTuxOsE50TjBN5E2QTTBMxExUS9xLZErwSnxKDEmcSTBIyEhcR+xHgEcURqxGTEX0RahFaEUwRPhEyESQRFREEEPEQ3RDIELMQnxCOEH4QchBnEFwQUhBHEDoQLBAdEA4QAA/0D+oP4w/eD9kP1A/LD70Pqg+PD2wPQw8VDuIOrQ54DkIODQ3ZDaYNcg0+DQgM0gybDGQMLwv8C8wLnwt3C1ILMAsPCvAK0QqzCpQKdgpaCj8KJwoRCf8J7gnfCc8JvgmrCZUJfAlgCUEJIAj+CNwIuwibCH0IXwhCCCQIBgfnB8YHpQeDB2IHQgckBwkG8AbaBscGtganBpkGiwZ+BnEGZAZXBkoGPgYyBiYGGwYPBgMF9wXqBdsFzAW6BacFkQV5BV4FQQUhBP4E2gS1BJAEawRJBCgECgPwA9gDwwOwA54DjAN7A2sDWwNLAz4DMQMnAx8DGAMTAw4DCAMBAvkC7wLkAtkCzQLBArUCqgKeApACfwJsAlQCOAIXAfQB0AGsAYkBagFPATkBJwEYAQsBAAD1AOkA3ADPAMEAtQCqAKEAmQCTAI4AiACAAHQAZQBRADkAHgAB/+L/w/+m/4v/cv9b/0b/Mv8f/wz++f7m/tP+wP6t/pv+iv55/mn+Wf5J/jn+KP4X/gb99f3l/db9yP29/bP9q/2l/aD9nP2Y/ZT9kP2L/YX9f/13/W79ZP1Z/U79Qv03/Sz9If0X/Q/9B/z//Pj88Pzm/Nz80PzD/LX8pvyY/Iz8gvx6/HX8c/x0/Hb8efx8/H/8gfyD/IX8iPyL/JD8lvyd/KP8qPyq/Kj8ofyV/IP8bfxT/Df8HPwC++r71/vH+7z7tPuu+6j7pPue+5j7kPuI+3/7dvtu+2b7XvtW+0/7R/s/+zX7K/sg+xT7CPr8+vL66Prg+tn60/rN+sj6wvq8+rf6sPqr+qX6oPqc+pr6mPqY+pn6m/qe+qH6pPqn+qv6rvqx+rT6tvq3+rj6t/q2+rX6s/qx+rH6svq1+rr6wfrK+tT63frm+u769fr7+wD7BvsM+xX7H/ss+zn7RvtR+1f7WftT+0X7MvsY+v364frI+rT6qPqk+qr6t/rL+uP6/fsW+y77Q/tW+2X7c/uA+437mvup+7n7yvvb++z7/fwM/Br8JPws/DH8M/wy/Cz8JPwa/A38APvy++f73vvZ+9j72/vj++77+/wK/Bj8JPwv/Db8O/w+/D/8P/w+/D78P/xB/ET8SPxN/FP8WPxd/GH8Zfxp/G38cfx2/Hz8g/yN/Jn8pvy2/Mb82Pzq/Pz9Dv0f/S/9Pf1L/Vf9Yf1q/XH9dv15/Xr9eP10/W/9af1i/Vr9VP1P/Uz9Sv1J/Ur9TP1N/U/9Uf1S/VP9VP1X/Vr9X/1m/XD9e/2I/Zf9pv22/cb91f3j/fH9/v4J/hT+H/4q/jT+P/5J/lT+YP5r/nf+gv6N/pf+oP6p/rL+uv7C/sr+0/7c/ub+8v79/wr/Fv8i/y3/Nv8//0b/S/9Q/1P/V/9b/1//Y/9p/2//d/9//4j/kf+b/6X/r/+6/8X/0P/b/+b/8f/7AAUADwAXACAAKAAvADYAPABCAEcASwBPAFEAUgBTAFMAVABUAFYAWABbAF8AZQBrAHEAdwB9AIMAiACMAJAAlACXAJsAnwCjAKYAqQCsAK0ArwCwALIAtgC8AMMAzQDYAOUA8QD8AQYBDQERARMBEwETARMBFgEcASYBMwFCAVIBYgFuAXcBegF3AW4BYgFTAUQBNgErASQBIQEjAScBLgE1AToBPwFBAUABPwE8AToBOAE2ATUBNAEyAS4BKAEgARUBBwD5AOsA3gDVAM8AzQDQANUA3gDoAPMA/gEHAQ8BFwEcASEBJgEpAS0BLwEwATABLgErASgBIwEgAR0BGwEbAR0BHwEhASIBIQEcARMBBwD3AOQAzwC6AKYAkwCEAHcAbQBlAF8AWgBWAFEATABIAEMAQAA+AD0APgBBAEQASABMAE8AUgBUAFUAVQBWAFYAVwBYAFoAWwBdAF4AXgBdAFoAVwBSAE0ASABCAD0AOAAzAC8AKQAkAB4AFwARAAsABQACAAAAAAADAAcADQATABgAGwAcABoAFAAMAAH/9f/o/93/0v/L/8b/w//B/8H/wP++/7r/s/+p/53/jv9+/23/Xf9O/0L/Of8z/zD/MP8x/zT/OP86/zr/OP8x/yf/F/8C/un+y/6r/oj+ZP5B/iD+A/3o/dL9wP2x/aX9m/2T/Yv9hf1//Xn9df1z/XL9c/12/Xr9fv2C/YP9g/1//Xn9b/1k/Vf9Sf08/TD9Jv0d/Rf9Ev0P/Q39DP0L/Qr9Cv0L/Qz9D/0S/Rf9Hv0l/S79OP1C/U79Wf1l/XH9fP2G/Y/9l/2d/aP9p/2s/bH9uP3A/cr91/3n/fr+Dv4j/jn+Tf5f/m3+df51/m7+Xf5C/h397v24/Xv9Ofz2/LT8dvw9/A375fvH+7H7pPud+5r7m/ue+6H7pfuq+677s/u5+8D7x/vO+9T72PvZ+9b7zvvB+6/7mfuA+2b7Svsu+xP6+vri+sz6uPql+pL6gPpu+lz6Svo5+if6FvoF+fP54vnR+cD5sPmg+ZL5hfl6+XD5Z/lg+Vf5TflB+TH5HPkC+OP4wPia+HL4Svgj9/733Pe996L3ivd292P3UfdB9zL3I/cW9wv3Avb89vf29fb09vT28/bw9uv24vbW9sf2tfai9pD2gPZz9mr2Z/Zo9m72ePaF9pX2pva49sz24Pb29w33JvdB9133eveW97D3yPfb9+v39/gA+Aj4EPga+Cj4OvhR+Gv4ifin+MP42/jt+Pf4+fjy+Ob41fjB+K74nfiQ+Ij4h/iL+JT4ofiy+MX42fju+QP5Gfku+UT5Wvlv+YX5mfmt+b/5z/ne+ev59voA+gr6E/od+in6NvpG+ln6b/qH+qL6v/rd+vv7Gfs1+1H7a/uE+537t/vT+/H8Evw1/Fv8hPyu/Nn9BP0v/Vr9hP2v/dr+Bv4z/mD+jv67/uX/DP8v/03/Z/98/4//ov+1/83/6AAKADAAXACKALoA6AEUATsBXgF9AZkBtQHTAfUCHQJMAoMCwAMCA0UDiAPHA/8EMARZBHoElQSsBMIE2ATxBQ4FLwVVBX8FqwXYBgYGMwZfBooGtAbfBwwHOwdsB58H1QgMCEQIewixCOQJFAlBCWoJjwmxCdAJ6woDChgKLAo9Ck0KXAprCnoKigqaCqsKuwrKCtcK4grqCu4K8ArxCvEK9Ar6CwULGAszC1ULfguuC+EMFwxMDH8MrgzYDP0NHg08DVcNcg2MDagNxg3mDggOKg5MDm0OjA6oDsEO1w7qDvwPDA8cDywPPQ9QD2QPeA+OD6MPuA/ND+IP9xANECQQPRBZEHcQlxC5ENsQ/REeET4RXRF7EZkRthHUEfISERIxElASbhKKEqQSuxLREuYS+hMQEygTQhNeE3wTmRO1E84T4xP0FAIUDhQaFCgUOhRRFGwUiRSmFL4UzxTVFM4UvBSgFH8UXhREFDUUNRRGFGYUlBTIFP4VLxVWFXAVexV5FW0VWhVGFTQVKBUjFSQVKhUyFTwVRBVKFU4VUhVZFWMVdBWLFakVyhXsFgwWJRY0FjgWMRYfFgUV5xXIFa0VmRWNFYoVjxWcFa0VwRXWFegV+BYDFgsWDhYOFgoWBRX+FfUV7BXiFdcVyxW/FbIVpBWVFYcVeBVqFV0VUhVIFUEVPBU5FTcVNxU4FTkVORU5FTgVNhU0FTEVLRUpFSUVHhUXFQwVABTxFN8UzBS4FKQUkRR+FG4UXxRSFEUUORQsFB8UEhQDE/QT5hPXE7YTpROVE4QTchNeE0cTLRMQEvIS0hKyEpMSdhJbEkISKxIUEf4R5xHPEbcRnxGIEXIRXhFNET8RMxEoER0REREEEPYQ5RDTEMEQrxCdEI0QfxByEGYQWRBMED4QLhAdEAsP+g/qD9sPzg/DD7gPrQ+hD5EPfA9hD0EPHA7yDsQOkw5hDi8N/A3JDZUNYA0rDPQMvQyFDE4MGQvnC7gLjgtoC0YLKQsOCvYK3grICrEKmgqECm0KVwpCCi0KGAoDCe4J2AnACaYJigltCU4JLwkPCPAI0gi1CJkIfghjCEgILAgNB+0HywenB4IHXQc5BxcG+AbcBsQGsAagBpMGiQaABngGcAZnBl4GVAZJBj0GMAYjBhUGBgX3BecF1gXDBa4FmAV/BWMFRQUlBQIE3QS4BJIEbQRKBCkECwPxA9kDxQOyA6IDkwOEA3YDaANbA08DRAM7AzMDLAMmAyADGQMSAwgC/QLxAuMC1QLGArcCqAKZAocCdAJdAkMCJgIGAeQBwQGeAX4BYQFIATIBIAEQAQEA8wDkANQAxACzAKMAlQCIAH8AeABzAG8AagBkAFsATwA/ACwAFv/+/+b/z/+4/6P/jv96/2b/UP86/yL/Cf7v/tX+vP6l/o/+fP5r/lv+S/48/iv+Gv4H/fP93v3K/bj9p/2Y/Y39hP1+/Xr9d/11/XL9b/1r/WX9X/1X/U79Rf07/TD9Jf0a/Q/9BPz6/O/85vzc/NP8yvzA/LX8qvyd/JD8gvx0/Gb8W/xR/Er8RfxE/ET8RfxI/Ev8TvxR/FT8WPxd/GP8afxx/Hn8f/yE/IX8gvx5/Gz8WvxE/Cz8E/v7++X70/vD+7f7rful+577lvuN+4T7eftt+2H7VftJ+z/7Nfst+yX7HPsU+wr6//rz+ub62frN+sH6tvqt+qb6oPqb+pj6lvqT+pH6kPqO+o36jfqO+o/6kvqV+pn6nPqe+p/6n/qd+pr6lvqS+o36ifqG+oT6g/qD+oT6hvqI+ov6jvqT+pn6oPqp+rL6vPrG+s/61/rf+ub67Prz+vv7BfsR+x/7Lvs9+0r7U/tY+1f7UPtD+zH7HfsJ+vf66frh+t/65Prv+v37D/sj+zb7Sftb+237ffuO+5/7sPvC+9X75/v6/Av8HPwr/Dj8Q/xN/FT8WPxa/Fj8U/xL/D/8Mvwj/BT8Bvv6+/H77Pvr++378/v7/AX8DvwY/CD8J/ws/C/8Mfwy/DL8Mvwz/DT8N/w6/D/8RvxN/Fb8YPxq/HT8f/yL/Jf8o/yw/L38zPza/Or8+v0J/Rj9Jv0z/T/9Sf1T/Vv9Yv1n/Wz9b/1w/XD9bf1p/WP9XP1U/Uv9Q/08/Tb9Mf0t/Sv9Kv0q/Sr9Kv0s/S79MP01/Tv9RP1P/Vv9av16/Yz9nf2v/cD90f3g/e/9/P4J/hX+IP4r/jb+Qf5L/lb+Yf5s/nf+gv6M/pf+of6q/rT+vf7H/tD+2/7m/vL+/v8L/xf/JP8w/zr/RP9M/1L/WP9c/2D/Y/9m/2n/bf9x/3X/ev+A/4f/j/+Y/6L/rf+5/8f/1f/j//D//QAKABUAHwApADEAOgBDAEsAVABdAGYAbgB0AHgAegB6AHgAdABvAGoAZgBjAGIAYwBmAGoAbwB1AHsAgQCHAI0AkgCYAJ0AogCnAKwArwCyALQAtAC0ALQAtAC2ALkAvgDFAM4A1wDiAO0A9gD+AQUBCwERARgBIAEpATUBQgFRAV4BagFyAXUBdAFtAWIBUwFEATUBKAEgARwBHQEhASkBMgE7AUIBSAFKAUsBSQFHAUUBQwFDAUQBRQFHAUYBRAE/ATcBLAEfARABAgD1AOsA5ADgAN8A4gDnAO4A9gD+AQYBDQEUARkBHgEhASMBIwEiAR8BGwEVARABCgEHAQUBBQEIAQwBEgEXARsBHAEaARQBCgD8AOsA1wDEALAAnwCPAIIAeABwAGkAZABgAFwAWABUAFEATwBNAE0ATQBPAFEAVABYAFwAYABkAGgAbABwAHQAeAB7AH0AfgB9AHsAeAByAGwAZQBeAFcAUABJAEIAPAA1AC4AJwAgABgAEAAJAAL//f/6//n/+v/8//8AAwAGAAgABgAC//v/8P/j/9T/xP+1/6f/nf+V/5L/kv+V/5r/n/+l/6j/qf+o/6L/mv+Q/4T/d/9q/17/U/9K/0P/Pf84/zT/MP8s/yf/If8a/xH/B/76/uz+3P7L/rj+pP6P/nv+Z/5U/kP+M/4k/hf+C/4B/fj98f3s/en96v3u/fX+Af4P/h/+L/4+/kv+U/5W/lL+SP44/iP+Cv3v/dP9uP2e/Yj9dP1k/Vb9TP1E/T79Ov03/TX9Nf03/Tn9Pv1E/U39V/1j/XH9gP2Q/aH9sf3B/c/92/3n/fH9+v4D/g3+GP4l/jT+Rf5W/mn+ev6J/pX+nP6d/pj+i/52/ln+Nf4L/dv9pv1v/Tb8/vzH/JT8Zfw6/BX79fvZ+8L7rvud+4/7gvt4+2/7aftl+2T7Zfto+2z7cPt0+3T7cvtr+2D7Ufs++yj7EPr4+uH6yvq1+qL6kPqA+nH6YfpS+kL6Mvoi+hL6Avnz+eT51/nJ+b35sPmk+Zj5jPmB+Xf5bvln+WH5XflZ+VX5T/lH+Tr5KfkR+PP4z/im+Hj4R/gW9+T3tfeJ92H3Pvcg9wb28vbh9tT2yfbB9rr2tfax9q72q/ap9qf2pfah9pv2lPaL9n/2cvZj9lX2RvY69jD2KfYn9ij2LfY29kL2UPZg9nL2hfaZ9q/2xvbf9vn3Evcs90T3Wfds93z3ifeT9533qPe298f33vf6+Br4Pvhh+IP4n/i1+MD4w/i7+Kv4lfh7+GH4Sfg0+Cb4Hvgd+CH4K/g3+Eb4Vvhn+Hf4h/iW+Kb4t/jI+Nn46/j++RD5Ivk0+UT5VPlj+XD5ffmK+Zf5pvm1+cf52vnw+gn6I/o/+lz6efqX+rT60Prs+wj7JPtB+2D7gfuk+8j77/wY/EL8bfyZ/MX88v0g/U/9fv2v/eD+Ef5B/m/+nP7G/u3/Ef80/1X/d/+a/7//5gAOADgAYgCJAK4AzQDnAPsBCQEUARwBJgE0AUgBZgGNAb8B+gI9AoYC0AMZA18DngPWBAcEMARVBHYElgS3BNsFAQUrBVcFhQWzBeIGDwY6BmUGjwa5BuUHEwdEB3kHsQfrCCcIYwieCNcJDAk+CWsJlAm5CdsJ+AoTCisKQgpXCmsKfwqTCqgKvQrTCugK/AsNCxsLJQspCygLIQsWCwkK+wrvCugK5wrvCwELHAtBC20LngvTDAoMQAxzDKMM0Az5DR4NQg1lDYcNqg3NDfEOFQ44DlsOew6YDrMOyw7gDvQPBg8XDykPOw9OD2MPeQ+QD6gPwA/YD/EQChAlEEEQXhB+EKAQxBDpEQ8RNBFZEX0RnxHAEd8R/RIaEjcSVBJxEo4SqRLEEt4S9hMOEycTQBNaE3cTlhO2E9YT9BQOFCQUNBQ/FEYUTBRTFF0UbhSGFKUUyBTuFRAVKxU8FUAVNhUhFQUU5hTLFLkUtBS8FNEU7xURFTIVSxVZFVkVTBU1FRgU/BTlFNgU1xTiFPcVFBU0FVMVbRWCFZEVmxWkFa8VvBXOFeUV/hYXFiwWOxZAFjwWLhYZFgAV5xXRFcEVuhW8FcUV1RXpFf4WEhYjFjAWORY+FkEWQxZEFkUWRhZHFkgWSBZGFkIWOxYxFiQWFRYEFfIV4BXOFb4VsBWlFZwVlRWRFY0VihWGFYEVehVxFWcVXBVRFUcVPRU0FSwVJBUcFRMVCBT7FOsU2hTHFLQUoRSPFH8UcBRhFFMURRQ1FCQUExQAE+0T2hPHE40TexNqE1kTRxM0Ex4TBRLpEssSrRKPEnISWBJAEisSGBIGEfQR4RHNEbgRohGMEXYRYhFREUERNBEoER4RExEHEPoQ7BDcEMsQuhCpEJkQihB7EGwQXRBNEDsQKBAUD/4P6Q/VD8EPsA+hD5MPhQ93D2cPVA89DyEPAQ7cDrQOiA5aDioN+Q3HDZQNYA0rDPUMwAyKDFUMIwvzC8cLnwt8C14LRQsvCxwLCgr5CugK1QrACqgKjgpyClMKMwoSCfEJ0QmwCZEJcglVCTkJHgkECOsI0wi9CKgIkwh/CGoIVQg9CCQIBwfnB8MHnQd2B04HKAcDBuMGxgatBpoGigZ8BnIGaAZfBlYGTAZBBjcGKwYfBhIGBAX1BeUF1AXABasFkwV6BV4FQQUhBQAE3gS7BJgEdARSBDIEFAP4A+ADzAO6A6oDnQORA4YDewNxA2cDXQNUA0sDQwM7AzMDKgMhAxcDCwL+Au8C3gLNAroCpgKRAnoCYQJHAioCDAHsAcwBrQGPAXQBXAFHATUBJgEXAQkA+gDrANoAyAC2AKUAlgCJAH4AdQBvAGgAYgBaAFAAQwA0ACIAEP/+/+z/2//M/77/r/+h/5H/f/9r/1T/O/8g/wX+6/7S/rr+pf6R/n3+av5W/kD+KP4O/fL91v26/aD9if11/Wb9Wv1T/U79TP1K/Un9R/1D/T/9Of0y/Sr9If0Z/RD9B/z+/PT86/zh/Nj8zvzF/Lv8svyp/KD8lvyL/H/8cvxl/Ff8Svw+/DP8K/wm/CP8I/wl/Cf8K/wu/DL8Nvw7/D/8RPxK/E/8VPxY/Fr8WPxT/Er8Pfwu/Bv8CPv0++D7z/u++7D7o/uX+4v7f/ty+2T7VftG+zf7KPsa+w77Avr4+u/65vre+tX6y/rB+rb6q/qg+pb6jfqF+n/6evp2+nT6c/pz+nP6c/p1+nb6efp9+oH6hvqL+o/6kvqT+pH6jPqE+nr6b/pi+lf6TPpE+j76O/o7+jz6PvpC+kb6SvpP+lT6W/pj+mz6ePqE+pD6nPqn+rH6uvrB+sn60vrc+un6+fsL+x37MPtB+077VftX+1P7Svs8+y37HvsQ+wb7AfsA+wT7DPsY+yf7OPtL+2D7dvuN+6X7vfvW++/8B/wd/DL8RfxW/GT8cPx6/IH8hvyH/Ib8gfx5/G78YfxR/ED8MPwg/BL8B/v++/j79Pvz+/X7+Pv8/AH8CPwO/BX8G/wh/Cb8Kvwu/DH8Nfw4/D38Q/xL/FX8Yfxu/Hz8i/yb/Kr8uvzJ/Nj85/z1/QT9Ef0e/Sr9Nf0//Uf9Tv1U/Vj9W/1c/V39XP1Z/VX9Tv1H/T39Mv0n/Rz9Ef0H/P/8+Pzz/PD87/zw/PP89/z+/Qb9Ef0d/Sr9Of1K/Vv9bP19/Y/9n/2w/cD90f3h/fD+AP4P/h7+Lf46/kf+Uv5d/mj+cv58/oX+j/6Z/qP+rP62/sD+yv7U/t7+6f71/wH/Df8a/yf/M/8+/0n/Uv9a/2H/Z/9s/3D/dP93/3v/fv+B/4X/iP+N/5L/mP+h/6v/t//G/9b/5//5AAoAGQAoADQAPgBHAE8AVgBeAGYAbwB4AIEAigCRAJYAmACXAJMAjQCFAH0AdgBwAG0AbABuAHIAeAB+AIQAigCPAJMAlgCYAJoAnQChAKUAqQCuALIAtgC5ALsAvAC9AL4AwADDAMYAywDSANgA4ADoAPAA+QECAQwBGAEkATEBPgFMAVgBYQFoAWsBaQFjAVoBTwFDATgBLgEoASUBJgEqATABNwE9AUMBSAFKAUsBSwFLAUsBSwFNAU8BUgFUAVYBVgFTAU0BRQE7AS8BIgEWAQsBAgD6APUA8wDyAPMA9QD3APsA/gECAQUBBwEJAQkBCQEHAQMA/wD5APQA7wDrAOkA6QDrAO8A8wD4APwA/wD/AP0A9wDvAOQA1wDIALkAqgCbAI4AggB3AG4AZgBfAFsAVwBVAFMAUwBUAFUAVwBaAF0AYABkAGgAbgBzAHoAgACHAI4AkwCXAJkAmQCWAJIAiwCDAHkAbwBlAFsAUQBHAD4ANQAsACIAGQARAAgAAf/6//b/8v/x//L/8//1//f/+P/4//b/8f/q/+H/1f/I/7r/q/+e/5P/iv+D/4H/gf+D/4j/jv+U/5r/nv+f/57/m/+W/4//h/9+/3X/bf9k/1z/U/9L/0L/OP8v/yX/HP8T/wr/Av77/vX+7v7n/uD+1/7N/sH+tf6o/pr+jf6B/nb+bP5k/l7+Wv5a/lz+Y/5u/nz+j/6l/r7+1/7v/wX/Fv8h/yX/IP8T/v/+4/7D/qD+e/5X/jT+FP33/d79yf23/aj9nP2R/Yn9gv19/Xn9d/14/Xz9g/2N/Zr9qf27/c/95P34/g3+If4z/kX+Vv5m/nX+hf6U/qL+sP67/sP+x/7G/sD+sv6e/oT+Y/4+/hT95/24/Yj9WP0p/P380/ys/Ij8ZvxH/Cv8D/v0+9r7wfuo+5D7eftl+1T7R/s9+zX7Mfst+yn7JPsc+xH7Avrw+tz6xfqv+pn6hvp1+mf6W/pS+kr6Qvo6+jD6JfoY+gn5+vnq+dv5zPm/+bP5qPmf+ZX5jPmC+Xj5bvlk+Vv5UvlL+Ub5Qvk/+Tz5Ofk0+Sv5HPkI+O34yvig+HD4O/gD98n3j/dY9yb2+PbS9rL2mfaG9nj2b/Zq9mb2ZPZj9mL2YPZf9l32W/ZY9lT2UPZJ9kH2N/Yr9h72EPYC9fX16/Xk9eH14/Xq9fT2AvYT9ib2OvZP9mT2efaP9qT2ufbN9uH28vcC9xD3Hfco9zT3QfdR92X3fved98D35fgM+DH4Ufhp+Hj4ffh3+Gf4UPg0+Bb3+Pfd98f3uPeu96v3rfez97z3x/fT9+D37ff7+An4F/gn+Df4SPha+Gz4f/iS+KT4tvjI+Nn46fj5+Qn5Gfkp+Tr5TPlg+XX5jPml+cD52/n4+hT6MfpO+mr6h/qk+sH63/r/+yD7RPtp+5H7u/vo/Bf8SPx8/LL86f0i/Vr9k/3K/gD+Nf5o/pn+yv76/yn/Wf+J/7n/6AAWAEEAagCNAKwAxQDYAOYA8AD2APwBAgELARgBLAFHAWoBlQHHAf4COgJ5ArcC9AMuA2UDmQPKA/kEKARWBIcEuQTtBSIFWAWMBb8F8AYeBkoGdQafBssG+QcrB2IHnAfZCBoIWwibCNgJEglHCXcJoQnFCeUKAAoYCi0KQQpUCmgKfAqSCqkKwQrbCvQLDAsiCzMLPwtEC0ELNwsnCxIK+griCs4Kvwq5CrwKywrlCwkLNwtrC6ML3wwaDFQMiwy/DO8NHA1HDW8NlQ27Dd8OAg4lDkYOZg6FDqIOvQ7WDu4PBQ8bDzAPRQ9bD3APhg+dD7UPzQ/nEAIQHhA7EFoQexCeEMIQ6BEPETYRXhGFEaoRzxHxEhMSMxJSEnASjhKrEsgS4xL/ExkTMxNNE2gThBOiE8IT4xQFFCcURhRhFHYUhRSPFJQUlhSZFJ8UqxS9FNcU9hUXFTUVThVeFWEVWRVGFSwVEBT4FOgU4xTqFPsVExUsFUAVSxVJFTkVHBT3FM8UrBSSFIgUjhSkFMcU8xUjFVEVeRWaFbIVxBXSFd8V7RX+FhEWJBY2FkMWSRZHFjwWKxYVFf8V7RXiFd8V5hX1FgoWIhY6Fk4WXhZnFmsWahZnFmQWYRZhFmQWaRZwFnYWfBZ+Fn0WeBZvFmIWUhZAFi4WHBYLFf0V8RXoFeIV3RXZFdQVzRXDFbYVpBWPFXcVXhVGFS8VGxULFP8U9hTvFOkU4xTcFNMUyBS7FKwUnRSNFH4UbhReFE4UPBQoFBMT/BPlE80TthOhE14TTRM8EywTHBMKEvUS3hLFEqoSjxJ0ElsSRBIwEh4SDRH9Ee4R3hHNEboRpxGUEYERbxFfEVARQxE2ESoRHREQEQEQ8RDfEM0QuhCnEJQQghBwEF8QTBA5ECUQEA/6D+MPzQ+3D6QPkg+DD3UPaQ9cD04PPg8qDxIO9Q7UDq4OhA5XDicN9g3EDZENXg0rDPgMxQyTDGMMNQwJC+ELvQudC4ILbAtaC0sLPgsxCyILEAr6Ct4KvQqWCmwKPwoSCeUJuwmVCXMJVgk9CScJEwkBCPAI3wjOCL0IrAicCIwIfAhqCFYIQAglCAUH4Qe5B44HYgc2BwsG5AbBBqMGiQZzBmEGUQZEBjgGLQYjBhoGEQYIBf8F9AXoBdoFyQW1BZ4FhQVqBU4FMQUTBPUE1gS3BJgEeARZBDkEHAQAA+cD0QO/A7ADpAObA5MDjAOEA3wDcwNpA14DUwNIAz0DMgMoAx0DEQMEAvUC5ALRArwCpAKLAnACUwI1AhcB+AHZAbsBoAGGAXABXQFMAT4BMgEmARsBDgEBAPMA4wDTAMIAsQCiAJIAhAB1AGcAVwBHADUAIwAQ//3/7P/d/9D/xv++/7n/tP+v/6n/of+W/4j/dv9i/0z/NP8b/wL+6f7P/rX+mf58/l3+Pf4a/fb90v2v/Y79cf1Y/UT9Nf0r/Sb9I/0i/SL9Iv0g/R39Gf0T/Qz9Bfz+/Pf88Pzp/OL82vzS/Mn8wPy2/Kz8o/ya/JH8ifyA/Hb8bPxg/FT8R/w7/DD8J/wh/B78Hfwe/CD8JPwn/Cv8Lfwv/DD8Mfwy/DP8M/wz/DP8Mfwt/Cb8HfwS/AT79Pvj+9H7v/uu+537jPt8+2z7W/tL+zr7KfsY+wf6+Prq+t360vrI+sD6uPqx+qv6pfqe+pj6kfqK+oP6ffp3+nL6bfpq+mf6Zvpl+mX6Zvpn+mn6bPpw+nT6ePp8+n/6gfqB+n76efpy+mj6XfpR+kb6PPo0+i/6Lfos+i36Lvow+jD6Mfox+jL6NPo4+j/6SfpV+mT6cvqA+o36l/qg+qb6rPqz+rv6xvrV+uf6+/sP+yL7Mfs8+0H7QPs6+y/7IvsV+wn7APr8+vz7AfsK+xf7KPs8+1L7avuD+577uvvX+/P8D/wq/EP8Wvxu/IH8j/yb/KP8p/yn/KP8mvyP/ID8b/xd/Ev8Ofwo/Bn8C/v/+/X77fvl++D73Pvb+9z73/vl++379/wB/Az8Fvwf/Cf8Lfwz/Dn8QPxJ/FP8YPxu/H78j/yh/LT8xfzW/Ob89P0C/Q39GP0i/Sr9MP02/Tr9Pf0+/T/9Pv08/Tn9NP0t/SX9G/0Q/QT89/zq/N780vzJ/MH8u/y3/Lf8ufy+/Mf80/zi/PT9B/0d/TP9SP1c/W79fv2M/Zn9pf2w/b39yv3a/ev9/v4R/iX+N/5J/ln+Zv5z/n3+h/6Q/pr+o/6s/rb+wP7J/tP+3P7l/u/++f8D/w7/Gf8l/zD/PP9G/1D/Wf9h/2j/bv90/3n/f/+E/4n/jv+S/5b/mv+e/6L/qP+w/7r/x//X/+n//QARACQANgBGAFMAXQBlAGoAbwB0AHkAfwCHAI8AmACgAKYAqQCpAKcAogCaAJMAjACHAIQAhACHAI0AlACcAKMAqACsAK0ArACqAKgApgCmAKcAqgCvALYAvQDDAMoAzgDSANQA1gDWANcA2ADaAN0A4gDoAPAA+QEEARABHQEqATgBRgFTAV4BaAFvAXMBdQF0AXABawFkAV0BVwFSAU4BSwFKAUoBSwFNAU8BUQFTAVUBWAFaAV0BYAFiAWUBZgFnAWYBZAFgAVoBVAFMAUMBOwEyASoBIwEdARgBEwEPAQsBCAEFAQIA/wD8APoA+AD3APUA8wDwAO4A6wDoAOUA4gDfAN4A3QDdAN0A3wDhAOMA5QDmAOcA5gDjAN4A1wDPAMQAtgCoAJgAiAB4AGoAXQBTAEwARwBFAEYASQBOAFMAWABeAGMAaABtAHIAdwB9AIIAiACOAJMAlwCaAJoAmQCWAJAAigCCAHkAcABnAF4AVABLAEAANgAsACEAFwANAAX//v/4//T/8v/x//D/7//t/+v/5//i/9v/1P/M/8P/u/+z/6z/pf+g/5v/l/+U/5L/kf+R/5H/kf+R/5H/kP+P/47/i/+J/4b/g/+B/3//ff97/3j/df9w/2n/Yf9Y/07/Q/85/zD/KP8g/xr/Ff8Q/wr/BP78/vT+6v7f/tT+yv7B/rn+tP6w/q/+sP60/rn+wf7M/tn+6f78/xH/J/8+/1T/aP94/4L/h/+F/3z/bP9W/zz/Hv79/tz+vP6c/n/+Zf5M/jf+JP4T/gT99v3r/eH92f3U/dH90f3V/dz95/31/gb+Gv4v/kX+XP5z/on+nv6y/sT+0/7e/ub+6f7n/t7+0P67/qD+f/5a/jL+CP3d/bP9if1h/Tz9GPz4/Nn8vfyj/Ir8cvxa/EL8KfwP+/X72vu/+6X7jPt2+2L7UvtD+zf7K/se+xD6/vrp+tH6t/qb+oH6aPpS+kH6Nfot+in6KPom+iX6IPoZ+g76APnv+d35yvm4+af5mPmL+YD5dvlt+WX5XflU+Uv5Qvk4+S/5J/kg+Rv5F/kV+RP5EPkL+QP49/jl+Mv4q/iD+FT4H/fl96n3bPcw9vj2xPaX9nL2U/Y89iv2IPYZ9hb2FPYT9hP2EvYS9hH2EPYO9gz2CPYD9fz18/Xo9dr1y/W89a71ofWZ9ZX1l/We9av1u/XO9eP1+PYM9h/2MPZA9k72W/Zo9nT2f/aL9pb2ovat9rr2yfbb9vD3Cvcp90v3cfeX97z33ff3+An4EvgR+Ab38/fa9733n/eD92n3VPdE9zr3Nfc09zb3PPdE9033V/dj92/3fPeK95n3qPe498j32ffr9/74Evgm+Dr4UPhl+Hr4jvij+Lf4yvje+PL5Bvkc+TL5Svlj+Xz5lvmx+cz55/oB+hz6N/pU+nH6kPqx+tX6/fsp+1n7jPvE+/78O/x6/Ln8+f04/Xf9tf3y/i7+av6m/uL/Hf9W/43/wP/wABsAQQBjAIAAmgCxAMYA2gDtAQABEgEkATcBSgFeAXMBjAGoAccB6wISAj0CawKaAswC/gMyA2YDnQPVBBAETQSMBM0FDgVOBYwFxgX+BjIGYwaUBsQG9gcrB2MHnwffCCAIYgiiCN8JFwlKCXcJnQm9CdgJ7woDChYKKQo8ClEKZwp/CpkKtArPCuoLAgsYCygLMws3CzMLJwsVCv4K5ArJCrAKnQqRCo8KmAqsCswK9gsoC2ALnQvbDBkMVQyPDMUM+A0nDVMNfQ2lDcsN8A4TDjYOWA55DpkOuQ7XDvQPEA8qD0MPWw9xD4cPnQ+zD8oP4g/8EBgQNhBVEHcQmRC8EOARBBEoEU0RchGWEboR3hICEiUSRxJpEosSqxLMEusTCRMnE0UTYRN+E5wTuhPaE/sUHRRAFGMUhBSiFLwU0RThFOsU8xT5FP8VBxUTFSMVNBVGFVUVXxVgFVcVRBUpFQoU6xTRFMEUvRTFFNkU9BURFSsVOxU/FTUVHxUAFN0UvRSmFJsUnxSyFNIU+RUkFU4VdBWUFa4VxBXYFewWAxYcFjYWUBZlFnQWehZ1FmgWVBY+FigWGRYSFhUWIxY4FlMWbhaGFpkWpRaoFqYWnhaVFowWhhaDFoMWhxaMFpEWlRaVFpEWiRZ9Fm0WWhZHFjMWIRYRFgUV/BX2FfMV8RXwFewV5BXWFcMVqRWJFWYVQBUcFPsU3xTJFLoUsRStFKwUrBSrFKgUohSZFI0UfxRvFF4UTRQ6FCcUExP9E+YTzhO2E54ThxNyEz0TLBMbEwsS+xLpEtYSwRKqEpQSfRJmElESPRIqEhkSCBH5EekR2RHJEbgRpxGXEYgReRFrEV4RUBFDETQRJREUEQIQ7hDZEMQQrhCYEIIQbRBZEEQQLxAaEAUP7w/aD8UPsQ+fD44PgA90D2kPXw9UD0cPOA8lDw0O8A7PDqgOfg5QDiAN7w29DYsNWQ0pDPkMygybDG4MQgwZC/ILzguvC5ULfwtuC2ALVQtJCzsLKQsRCvMKzQqgCm4KOgoGCdUJqgmFCWgJUwlDCTgJLwkmCRsJDwj/CO4I2wjHCLQIoQiOCHoIZQhMCC8IDQfmB7sHjgdfBzEHBQbdBrgGmAZ8BmQGTwY9Bi0GHwYTBgkGAAX5BfEF6QXeBdEFwQWtBZYFfAVhBUUFKQUNBPIE2AS+BKIEhgRpBEsELAQPA/QD3APJA7oDrwOnA6EDnAOXA48DhgN6A20DXQNOAz8DMAMiAxUDCAL6AusC2wLIArMCmwKCAmYCSgItAhAB8wHXAbwBowGMAXgBZQFVAUcBOwEwASYBGwERAQUA+ADqANoAyQC2AKEAiwBzAFkAPgAjAAf/7f/U/73/q/+c/5L/jf+L/4z/kP+V/5n/nf+e/5v/lf+L/3z/af9S/zj/G/77/tr+uP6U/m/+Sf4i/fv91P2v/Yz9bP1Q/Tn9KP0c/RX9Ev0S/RL9E/0T/RH9Df0H/QD8+Pzx/On84vzb/NT8zfzF/Lz8s/yp/J/8lfyL/IL8evxz/Gv8Y/xa/FH8R/w+/DX8Lvwp/Cb8Jvwo/Cr8Lvww/DL8Mfwv/Cz8KPwj/B78GfwV/BH8DPwH/AD7+Pvt++H70/vD+7L7oPuO+3z7aftX+0T7Mvsg+w76/frt+t36z/rC+rf6rfql+p/6mfqV+pL6j/qN+or6h/qD+n/6e/p2+nH6bvpr+mn6afpq+m36cPp0+nj6fPp/+oP6hvqJ+ov6jfqO+o/6j/qO+oz6ifqG+oP6gPp9+nv6efp3+nX6cvpt+mf6YPpY+lD6SvpH+kf6TPpU+l/6bfp6+of6kfqY+pz6n/qf+qD6o/qp+rL6vfrL+tn65vrw+vb6+Pr2+vH66vrj+t763Prd+uP67fr7+wv7Hvsz+0j7Xvt1+4z7pPu9+9b78PwL/Cb8QPxa/HL8h/yY/KT8rPyt/Kj8nfyO/Hv8ZfxP/Dn8JfwT/AT7+Pvt++P72vvS+8r7w/u9+7r7ufu8+8L7y/vW++L77/v7/Ab8Efwa/CP8LPw3/EP8Ufxi/HT8iPyc/LD8w/zV/OX88vz+/Qb9Df0R/RP9FP0T/RH9D/0M/Qn9Bf0A/Pv89fzt/OT82fzO/ML8tvyr/KD8l/yQ/Iv8iPyJ/Iz8lPyf/K/8xPzb/Pf9E/0x/U39Zv17/Yv9l/2f/aX9qf2v/bb9wv3R/eP9+f4R/in+Qf5W/mn+ev6I/pX+oP6r/rX+wP7K/tX+3/7o/vH++f8B/wn/Ef8Z/yP/LP82/0H/Sv9T/1r/Yf9m/2v/cP90/3n/f/+F/4z/kv+Y/57/o/+o/63/s/+7/8b/0//k//cACwAhADcASwBdAGsAdgB+AIMAhgCIAIsAjwCUAJsAowCrALIAuAC7ALsAuQC1AK8AqgClAKMAowCmAKsAsgC6AMEAxwDLAMwAywDHAMMAvwC8ALoAuwC+AMQAzADUANwA5ADqAO4A8QDzAPQA9AD1APgA+wEBAQkBEgEdASoBNwFEAVIBXgFqAXMBfAGCAYcBiwGNAY0BjAGKAYcBgwF9AXcBcQFrAWYBYgFfAV4BYAFjAWkBbgF1AXsBgAGDAYQBgwF/AXoBdAFtAWUBXgFXAVEBSwFHAUMBPwE8ATgBNAEwASsBJgEgARoBEwENAQcBAQD8APcA8gDvAOwA6gDoAOcA5gDlAOQA4wDiAOAA3wDeAN4A3gDeAN8A4ADgAN4A2wDVAMsAvwCvAJ0AiQB1AGIAUQBDADgAMwAxADMAOAA/AEcATwBYAF8AZwBtAHIAdwB7AH4AgQCDAIQAhACDAIEAfgB7AHgAdABxAG0AagBmAGEAXABVAE0ARAA6ADAAJQAbABMADAAGAAH//v/6//b/8f/q/+L/2P/N/8L/t/+u/6b/of+e/57/n/+h/6P/pv+n/6f/pf+i/57/mf+T/43/h/+B/33/ev95/3n/e/9+/4P/if+P/5T/mf+b/5z/mv+W/4//h/9+/3T/av9h/1f/Tv9F/zz/M/8p/x//FP8K/wD++P7x/uz+6f7o/uj+6v7t/vH+9f75/v7/A/8K/xH/G/8m/zL/P/9M/1n/Y/9r/3D/cf9t/2X/Wf9I/zX/H/8I/vD+2f7C/q3+mf6I/nn+a/5e/lP+Sf5A/jn+M/4w/i/+Mf42/j/+S/5a/mv+fv6R/qT+tv7G/tL+2/7e/tv+0v7C/qv+jv5s/kb+Hv31/cz9pf2B/WD9Qv0n/Q789/zi/M38ufyl/JH8ffxo/FT8Pvwo/BH7+vvi+8v7tfug+437e/tq+1n7R/sz+xz7Afrk+sX6pvqI+m36V/pG+jr6NPoy+jL6Mvow+ir6H/oQ+fz55fnM+bL5mfmC+W75XPlO+UL5OPkw+Sj5IfkZ+RL5C/kF+P/4+vj1+PL47/jt+Or45vjf+NX4x/i0+Jv4e/hU+Cf39fe994L3RvcK9s/2mPZn9jv2F/X59eL10vXH9cD1vPW79bv1u/W89bz1vPW79bn1tfWv9aj1nvWS9YT1dfVm9Vn1T/VJ9Un1TfVY9Wf1evWO9aP1t/XI9df14vXq9fH19vX69f/2BfYL9hP2HfYo9jX2RPZW9mz2hPag9sD24vcE9yb3Rfdf93P3gPeD93/3dPdi90z3NPcb9wP27fbb9s32wva79rj2t/a59r32w/bL9tP23fbo9vP2//cM9xr3Kvc890/3Zfd995f3svfO9+r4Bfgf+Df4Tvhj+Hb4ifib+K74wfjV+Or5APkX+S/5SPlh+Xr5lPmv+cr55/oG+ij6Tfp2+qP61fsM+0b7g/vD/AT8R/yK/M39EP1U/Zj93f4j/mf+q/7r/yj/X/+Q/7z/4gAEACMAQQBgAIAAowDHAOsBDgEwAU0BZgF7AYsBmgGnAbUBxgHaAfMCEAIyAlcCgAKsAt0DEgNLA4kDywQTBF0EqQT2BUEFiQXNBg0GSgaEBr0G9gcwB2wHqgfqCCoIaAikCNsJDQk5CV8JgAmbCbMJygnfCfYKDQomCkAKXAp5CpYKsgrMCuQK+AsICxMLGAsXCxELBArzCt0KxgquCpgKhgp7CngKfgqQCqwK0gsACzULbwurC+gMJAxfDJYMzAz+DS4NXQ2JDbQN3g4HDi4OVA55Dp0OwA7hDwAPHg87D1UPbQ+ED5oPsA/HD98P+RAVEDQQVRB3EJoQvRDgEQERIhFCEWERgRGhEcIR5BIHEisSTxJzEpYSuhLcEv4THxNAE2ITgxOlE8cT6RQLFC0UUBRzFJUUtxTYFPYVEhUrFT8VURVgFWwVdxWCFYsVlBWZFZsVlhWKFXYVWRU3FRAU6xTLFLQUqhSuFMAU3BT+FSEVQRVXFWMVYxVZFUgVNBUjFRYVERUVFSAVMhVGFVsVcBWEFZkVrxXKFekWDRY1Fl8WhxaoFr8WyxbJFrwWphaMFnQWYRZXFlgWYxZ2Fo8WqRbAFtIW3RbhFt8W1xbOFsQWvRa3FrQWsxazFrMWsBaqFqEWlBaDFm4WWBZBFikWExYAFfEV5hXfFdsV2hXYFdQVyxW8FaYVhxVhFTcVChTfFLgUmBSBFHMUbBRsFG8UdBR4FHgUdBRsFGAUURQ/FCwUGRQGE/IT3xPLE7YToROLE3YTYhNPEyoTFxMFEvQS4hLQEr0SqhKYEoUSchJgEk8SPRIsEhsSChH4EecR1RHEEbMRoxGUEYUReBFqEVwRThE+ES0RGxEIEPQQ3xDJELMQnRCHEHEQWxBEEC4QFxABD+wP1g/CD68Pnw+PD4IPdg9sD2IPWQ9ND0APLw8bDwIO5A7CDpwOcw5HDhkN6g27DYwNXg0vDQEM0wykDHYMSAwbC/ELyQulC4YLbQtYC0kLPAswCyILEQr7Ct0KtwqMClsKKAn3CcoJpAmICXQJaglnCWgJaQlpCWUJWwlLCTUJGgj+COAIwwinCIwIcQhVCDgIFwfzB80HpAd6B1AHKAcDBuEGwwanBo0GdgZgBksGOAYnBhcGCgX+BfMF6QXeBdAFwQWuBZkFgQVpBVAFOAUhBQsE9QTfBMcErQSRBHMEUwQ0BBYD+wPlA9MDxwO+A7gDswOuA6YDmwOOA30DagNWA0IDLgMcAwsC+wLrAtoCyQK3AqICjAJ1Al0CRAIrAhMB+wHjAcwBtQGfAYoBdQFiAVABQAEyASQBGQENAQMA9wDrANwAzAC4AKIAiABrAEwALAAK/+r/y/+u/5X/gf9w/2X/Xv9c/17/Yv9q/3L/ev+B/4b/iP+F/3z/b/9b/0P/Jv8F/uP+v/6b/nj+VP4x/g/97P3K/an9iv1t/VT9Qf0y/Sj9Iv0g/SD9IP0f/Rz9Fv0O/QP8+Pzs/OD81vzM/MT8vPy0/Kz8o/ya/JD8h/x+/HX8bvxn/GH8WvxT/Ez8RPw8/DT8L/wq/Cj8J/wp/Cv8LPwt/Cz8Kfwj/Bz8FPwL/AL7+fvy++r75Pvc+9T7y/vA+7T7pvuX+4b7dftk+1P7Qfsw+x77DPr7+ur62vrL+r36sPql+pz6lPqO+on6hvqD+oH6gPp/+n36e/p4+nT6cPps+mj6Zvpl+mf6a/py+nv6hfqP+pj6ofqo+q36sPqz+rb6ufq++sT6y/rT+tv64/rq+u768frx+u766Prh+tf6y/q9+q76nvqO+n/6cfpm+l/6XPpd+mL6afpy+nr6gfqF+ob6hfqC+n36efp2+nX6d/p7+oH6hvqL+o76j/qP+o76jPqN+pD6l/qi+rL6xfrb+vL7Cvsh+zf7S/td+2/7gPuR+6T7uPvO++f8Avwe/Dr8Vvxu/IP8kvyZ/Jn8kfyD/G78V/w+/CX8Dvv7++v73/vV+8z7xfu++7b7rvun+6H7nvud+5/7pfut+7f7wvvO+9n75Pvv+/n8BPwR/B/8L/xB/FT8afx+/JP8p/y5/Mn81vzh/Of86/zr/Oj84/zd/Nb8zvzH/MD8ufyz/K38pvyf/Jf8jvyE/Hv8cvxq/GT8YPxe/F78Yfxo/HH8f/yS/Kn8xfzl/Qf9Kv1M/Wv9hP2Y/aX9rP2v/a/9rv2w/bX9v/3P/eT9/P4X/jL+TP5k/nr+jf6e/q3+vP7K/tj+5f7z/v//C/8V/x7/J/8u/zb/Pf9G/1D/Wf9j/2z/dP96/37/gP+B/4H/gP+A/4L/hP+I/47/lP+b/6L/qP+v/7X/vf/F/9D/3v/vAAIAFwAuAEUAWwBvAH8AjQCXAJ4AogClAKcAqgCtALIAuAC/AMYAzADRANQA1ADTAM8AywDGAMMAwADAAMIAxQDKANAA1QDZANwA3QDcANoA2ADWANUA1gDZAN0A5ADrAPQA/AEDAQoBDwETARYBGAEaARwBIAElASwBNAE+AUoBVQFhAWwBdgF/AYYBjAGQAZQBlwGZAZsBnAGcAZoBlwGSAYsBgwF7AXMBbQFqAWoBbQFzAXwBhQGPAZcBnQGgAaABnAGWAY4BhAF7AXMBawFlAWABXAFZAVcBVAFSAVABTQFLAUgBRAFAATwBOAEyAS0BJgEfARkBEgEMAQcBAgD/AP0A+wD6APkA+AD2APQA8QDuAOsA6QDmAOUA5ADiAOAA2wDVAMsAvgCuAJsAhwByAF4ATAA9ADIAKwAoACkALgA0ADwARQBOAFgAYABnAG4AcgB2AHcAdwB1AHIAbQBoAGQAXwBcAFoAWgBbAF0AXwBhAGIAYgBfAFsAVABMAEMAOQAvACYAHgAXABIADQAIAAL/+//y/+j/3P/P/8L/tf+q/6L/nP+Z/5n/m/+f/6P/p/+q/6v/q/+p/6b/of+b/5X/j/+K/4b/hP+E/4b/iv+P/5f/n/+o/7H/uf/A/8b/yf/K/8n/xv/A/7j/r/+k/5n/jf+B/3X/af9d/1H/Rv88/zL/Kv8j/x3/Gv8X/xb/Fv8W/xf/F/8X/xb/Ff8T/xD/Dv8N/w3/D/8S/xj/H/8n/zD/OP8+/0L/Q/9B/zr/MP8k/xT/BP70/uP+1f7H/rv+sf6n/p3+lP6K/oD+d/5t/mb+Yf5e/l/+Yv5p/nL+fP6H/pH+mf6e/qD+nf6V/oj+df5d/kH+Iv4A/d39u/2b/X39Yv1L/Tb9JP0T/QL88fzf/Mz8uPyl/JH8fvxs/Fr8Sfw5/Cf8FvwD+/D73PvJ+7b7ovuP+3v7ZvtQ+zf7HPr/+uL6xvqs+pb6hfp4+nD6a/pn+mP6XPpQ+kD6KvoP+fD5z/mu+Y75cPlW+UD5Lfke+RL5CPkA+Pn49Pjx+O747Pjq+On46Pjm+OP44Pjb+NT4y/jA+LH4oPiK+G/4T/gp9/73zfeY91/3I/bm9qr2b/Y59gf12/W29Zj1gfVx9Wb1YPVe9V71YPVi9WT1ZPVk9WH1XPVV9Uz1QfU09Sf1GvUP9Qf1AvUC9Qb1EPUd9S71QfVU9Wb1dvWD9Yz1kvWV9Zb1lfWV9ZX1lfWY9Z31pPWs9bf1xPXT9eX1+fYQ9ir2RfZh9n32mPav9sP20fba9tz22vbS9sb2t/an9pb2hfZ19mj2XPZT9kz2R/ZF9kT2RfZI9kz2UvZY9mD2afZ09oD2kPai9rf20Pbr9wr3KvdL92v3i/eo98L32fft9/74Dvgd+Cv4OvhJ+Fr4bfiC+Jj4sPjJ+OP4/fkZ+TX5Uvlx+ZL5tvnd+gf6Nfpo+p361vsS+1D7jvvP/BD8UvyX/N39Jf1v/bn+A/5L/o/+zf8F/zf/Yv+J/67/0v/4ACEATAB7AKoA2AEEASoBSQFiAXUBgwGOAZcBoQGtAbwBzgHjAf0CGwI+AmYClQLMAwsDUQOfA/IESASeBPMFRQWRBdkGHQZdBpsG2QcXB1cHlwfYCBcIUwiLCL4I6wkTCTUJUwlvCYkJowm+CdsJ+goaCjsKXQp9CpwKtwrOCuEK7wr4Cv0K/Qr5CvAK5ArUCsIKrgqZCoUKdApnCmEKYwpuCoUKpQrOCv8LNgtxC64L6wwnDGEMmgzQDQUNOA1rDZwNzA36DicOUg56DqAOxQ7nDwcPJQ9CD10Pdg+PD6cPvw/ZD/QQEhAyEFQQeBCdEMEQ5REGESYRRBFgEXwRmBG2EdUR9xIaEj4SYhKGEqkSyxLsEw0TMBNTE3kToRPKE/QUHhRHFG0UkhSzFNMU8hUQFS0VSRVlFYAVmRWvFcMV1BXiFe0V9BX5FfoV9hXsFdwVxhWpFYcVZBVEFSgVFhUQFRcVKhVHFWsVkBW0FdAV5BXuFe4V5hXZFckVuRWrFaAVmBWTFZIVlBWbFakVvRXbFgAWLRZgFpMWwxbsFwkXGBcZFw0W9xbdFsIWrBaeFpkWnxatFsEW1xbsFv0XCRcPFxAXDRcIFwAW+RbyFuwW5hbgFtkW0RbHFroWqhaYFoIWahZPFjQWGBX/FegV1hXIFb8VuRW0Fa4VpBWTFXoVWRUwFQIU0RSiFHkUVxRAFDIULhQwFDYUPhREFEYUQxQ7FC8UIBQPE/4T7BPbE8sTuxOqE5kTiBN1E2ITTxM8ExQTARLuEtwSyxK7EqoSmxKLEnwSbhJfElASQBIwEh8SDRH7EegR1RHDEbERoBGQEYERcRFhEVERPxEtERoRBhDyEN4QyxC3EKQQkBB7EGYQUBA6ECIQCw/0D90PyA+zD6EPkA+AD3IPZg9ZD00PQA8yDyIPEA76DuIOxQ6mDoMOXg44Dg8N5Q27DZANYw02DQcM2AymDHQMQgwQC+ALsguJC2YLSAsxCx4LEAsECvcK6ArVCrwKnQp3Ck0KIgn4CdIJtAmeCZMJkAmVCZ0JpQmrCaoJoQmOCXQJUgksCQMI2gizCI0IawhKCCoICgfqB8kHqAeGB2YHRgcpBw4G9AbcBsQGrQaVBnwGZAZMBjUGIAYMBfsF6wXbBcwFvAWrBZkFhwV0BWEFTwU+BS0FHAUKBPUE3wTEBKcEiARnBEgEKwQRA/0D7QPhA9cDzwPHA70DsQOhA44DeQNiA0wDNQMgAwwC+QLnAtUCwwKwApwChwJxAlsCRQIvAhoCBQHwAdoBxQGvAZkBggFrAVYBQQEuARwBDAD+APEA5QDZAMwAvQCtAJkAhABrAFAAMwAV//j/2//A/6f/kP99/23/YP9X/1D/Tf9N/07/Uv9W/1r/XP9b/1b/TP88/yj/EP70/tf+uv6e/oL+aP5O/jX+Gv3+/eH9w/2l/Yr9cv1e/U/9Rf0//Tz9Of01/S/9Jv0a/Qv8+vzp/Nn8yvy+/LP8qvyi/Jr8kvyK/IH8efxx/Gn8Y/xd/Ff8UPxK/EL8Ovwy/Cr8Ivwd/Bn8FvwV/BX8FPwS/A/8CvwC+/n77/vl+9v70fvJ+8H7ufux+6j7nvuT+4b7ePtq+1r7S/s8+y37H/sQ+wL68/rk+tX6x/q6+q76o/qa+pL6jPqH+oP6f/p8+nn6dvpy+m76afpk+l/6WvpV+lP6UvpV+lv6ZPpw+n76jvqd+qv6t/rA+sf6y/rO+tH61vre+uj69vsF+xb7Jfsy+zr7Pfs7+zL7JfsU+wD67PrW+sL6rvqc+ov6fPpv+mT6W/pU+lD6TvpO+k76TvpN+kr6Rvo/+jj6Mfor+ib6I/oi+iP6Jfon+ir6K/os+i36MPo0+jz6SfpZ+m/6iPqk+sH63vr5+xP7Kfs8+0z7Wvto+3X7hPuV+6n7wPvZ+/X8Evwu/Ej8XPxr/HH8cPxn/Ff8Qvwr/BL7+/vn+9b7yfu++7b7r/uo+6D7mfuS+4z7h/uF+4X7iPuN+5X7nful+677t/vB+8r71fvh++/7/vwP/CH8NPxI/F38cPyC/JP8ofys/LP8tvy2/LL8q/yh/Jf8i/yA/Hb8bPxj/Fv8U/xL/EP8PPw0/C/8Kvwo/Cn8LPwz/D38SfxZ/G38hPyf/L384P0E/Sn9Tv1v/Yv9of2w/bj9u/25/bb9tP21/bv9x/3Y/e7+B/4i/j7+WP5w/ob+m/6u/sD+0/7l/vj/Cf8a/yr/OP9F/1D/Wv9k/27/ef+F/5H/nf+o/7H/uP+8/7z/uv+2/7D/qv+l/6L/of+i/6T/qf+u/7T/u//B/8n/0f/a/+X/8gACABQAKAA9AFIAZwB8AI4AngCrALUAvQDDAMgAywDPANIA1gDbAN8A5ADpAOwA7gDvAO4A6wDoAOQA4ADdANoA2QDaANsA3gDhAOQA5wDpAOsA7QDvAPIA9QD6AP8BBgENARUBHQElASwBMgE3ATsBPgFAAUIBRQFIAUwBUgFZAWIBbAF3AYEBigGSAZkBnwGjAaYBqAGqAawBrAGsAaoBpwGhAZoBkgGJAYIBfQF7AX0BggGKAZUBnwGpAbEBtgG3AbQBrgGmAZ4BlQGNAYcBggF/AXwBegF4AXYBcwFwAW4BbAFqAWkBaQFqAWoBagFpAWYBYgFcAVQBTAFCATkBMQEqASQBHwEcARkBFwEVAREBDgEJAQQA/wD5APMA7gDoAOIA2gDRAMYAuQCqAJgAhwB1AGMAVABGADwANQAwAC8AMAAzADgAPwBHAE8AWABgAGgAbgByAHMAcgBvAGkAYwBcAFUATwBLAEkASQBMAFAAVABZAF4AYQBiAGEAXQBYAFEASAA/ADYALQAlAB4AGAATAA4ACgAF////+P/w/+f/3v/V/8z/xP+9/7n/tv+1/7X/tv+4/7r/u/+9/73/vv+9/73/vP+8/7z/vP+9/7//wv/G/8r/z//U/9n/3//l/+r/7//z//b/9//2//L/7f/l/9v/z//D/7b/qf+d/5L/iP9//3f/b/9o/2H/XP9X/1T/U/9U/1f/W/9g/2T/af9r/2z/av9n/2H/W/9V/0//S/9I/0f/R/9J/0r/Sv9J/0X/P/82/yv/H/8S/wb++v7v/uT+2f7O/sP+tf6n/pj+iP55/mz+Yf5a/lf+V/5a/l7+Y/5m/mb+Y/5b/lD+QP4t/hf+AP3n/c79tf2e/Yj9df1l/Vb9Sv0//TT9Kf0b/Qz8+fzl/M78t/yg/Iv8ePxn/Fn8TPw//DL8JPwV/AT78fve+8v7ufun+5b7hft0+2L7T/s8+yf7E/sA+u/64frU+sr6v/q0+qX6k/p7+l/6PvoZ+fP5zfmo+YX5Z/lM+TX5I/kT+Qf4/fj2+PL48Pjw+PL49fj3+Pj49/j0+O745fja+Mz4vPiq+Jf4gvhq+E/4L/gL9+L3s/d+90X3CfbK9ov2TPYR9dn1p/V89Vj1O/Um9Rj1D/UM9Qz1DvUQ9RL1EvUR9Qz1BvT99PL05vTb9ND0x/TC9L/0wfTG9M/03PTr9Pv1C/Ua9Sj1MvU69T71QPVA9T71O/U49Tb1NfU09Tb1OfU99UP1S/VV9WH1b/V/9ZH1pPW59c714vX29gj2F/Yk9i32NPY39jf2NfYx9iv2JfYd9hb2D/YJ9gP1//X79fn1+PX49fn1+/X/9gP2CfYR9hv2KfY79lD2afaG9qb2yfbs9w/3L/dN92f3ffeP9533qfez97z3xvfS99/37vgA+BT4KvhC+Fv4dviS+K74zPjq+Qr5LPlQ+Xf5ofnP+gD6M/pp+qD62fsT+077jPvM/BD8WPyj/PH9QP2Q/d3+Jf5o/qT+2v8K/zf/Yv+O/7v/6gAcAE4AgACvANkA/gEdATUBSQFYAWUBcAF6AYUBkAGdAawBwAHbAf4CLAJlAqoC+QNSA68EDwRtBMYFGQVjBacF5QYgBloGlQbSBxEHUgeTB9MIEAhJCH0IrAjVCPwJHwlBCWIJhAmmCcoJ7goSCjUKVwp3CpQKrQrCCtIK3grlCugK5wriCtoKzgq+CqwKlwp/CmcKTwo6CisKJQooCjcKUgp5CqoK5AskC2YLqgvtDC0MawymDN8NFw1MDYENtA3lDhQOQQ5rDpMOuA7bDv0PHg89D1sPeA+VD7EPzg/rEAoQKhBMEHAQlBC5EN4RABEhET8RWxF2EZIRrhHNEe8SEhI4El0SghKlEsYS5RMDEyITRBNpE5QTwxP2FCsUYBSSFMAU5xUHFSIVORVOFWIVeBWPFagVwRXaFfIWBhYYFiYWMhY8FkUWTBZTFlYWVhZRFkcWORYnFhQWAxX3FfQV+hYJFiEWPxZeFnsWkhagFqQWnxaQFnwWYxZJFjEWGxYKFf4V+RX8FgYWGRY0FlcWgBasFtgXABchFzgXQxdDFzgXJhcQFvoW6RbeFtoW3xbpFvkXCRcaFycXMRc3FzkXNxczFywXJBcbFxEXBxb8FvIW5xbcFtAWwxazFqAWihZwFlMWMxYTFfYV2xXGFbYVqxWiFZoVjhV8FWIVPxUUFOQUsRR/FFMULxQWFAYUARQCFAcUDRQSFBMUERQKFAAT9BPnE9oTzRPAE7MTphOXE4gTdhNjE1ATOxMnEvMS4xLVEscSuhKuEqISlRKJEnwSbxJhElISQxIzEiESDxH8EekR1hHEEbMRoRGQEX8RbhFbEUgRNBEfEQsQ9xDkENIQwBCuEJwQiBB0EF0QRRAtEBQP+g/iD8sPtQ+gD4wPeQ9nD1YPRA8zDyMPEg8BDu8O3Q7IDrIOmg5/DmEOQQ4eDfoN0w2qDX8NUw0kDPQMwwyQDF0MKwv6C8wLoQt7C1kLPQsmCxQLBQr4CuwK3wrPCrsKoQqECmIKPwocCf0J4gnOCcMJvwnBCccJzgnRCc4JxAmvCZEJawk/CQ8I3givCIIIWgg2CBYH+AfdB8IHqAeOB3UHXAdEBy0HFwcBBusG0wa7BqEGhQZpBk0GMgYXBf8F6AXSBb8FrQWbBYoFegVrBVwFTwVCBTUFKAUbBQsE+QTlBM0EsgSWBHoEXgRDBCwEGAQGA/cD6gPcA84DvgOsA5gDggNsA1UDPwMqAxcDBALzAuIC0AK+AqoClgKAAmoCUwI8AiUCDgH4AeEBywG0AZ0BhgFvAVkBQgEtARkBBgD0AOMA1ADFALcAqgCbAIwAfABrAFgARAAvABkAAv/r/9T/vf+o/5L/fv9s/1z/Tf9C/zj/Mv8u/yv/KP8k/x7/Ff8J/vn+5v7S/r7+qv6X/ob+d/5n/lf+Rf4w/hf9/P3f/cL9pv2N/Xn9af1d/VT9TP1F/Tv9MP0h/RD8/fzq/Nj8yPy5/K38o/yZ/JD8hvx9/HP8afxg/Fj8UfxK/EX8P/w5/DL8Kvwh/Bj8D/wI/AH7/Pv4+/X78vvu++n74/vb+9L7yPu++7T7q/uj+5z7lPuM+4P7eftu+2H7U/tG+zj7Kvse+xL7B/r7+vD65fra+s/6xPq5+rD6p/qg+pr6lfqR+oz6hvqA+nn6cfpp+l/6V/pO+kf6Qvo/+j/6QvpH+lD6XPpp+nj6hvqT+p/6p/qs+q/6sPqx+rP6uPrC+s/64fr2+wz7IPsv+zn7O/s1+yf7FPr9+uX6zfq4+qf6mPqN+oL6efpw+mX6WvpN+kH6Nfoq+iD6F/oO+gX5+/nw+eb52/nR+cr5xfnC+cP5xvnL+dL52Pne+eT56/ny+fz6Cfoa+i/6SPpl+oP6ovrB+t76+PsP+yP7M/tC+0/7XPtp+3j7ivud+7P7y/vi+/n8Dfwc/Cb8Kfwm/B78EfwA++/73vvO+8D7tfur+6L7mvuR+4n7gPt4+3L7bftr+2z7b/t0+3r7gfuI+4/7lvud+6X7rvu4+8P70fvg+/D8AvwU/Cb8OPxJ/Fn8Z/xy/Hr8fvx9/Hn8cfxm/Fj8Svw7/C38H/wS/AX7+vvv++b73vvZ+9f72fvf++r7+vwP/Cf8Q/xj/IT8qPzO/PX9HP1C/WX9hP2e/bL9v/3F/cb9w/2+/bv9uv2+/cf91v3p/gD+GP4x/kn+Yf52/ov+oP60/sn+3/70/wr/H/8z/0X/Vf9k/3P/gf+P/53/rf+8/8v/2f/k/+3/8v/z//D/7P/l/97/1//R/83/y//L/83/0P/U/9n/3v/k/+v/8//7AAYAEQAfAC4APgBOAGAAcQCCAJMAowCyAL8AzADWAN8A5wDtAPIA9gD5APwA/wECAQQBBgEIAQkBCQEJAQcBBQECAP8A/AD5APgA9wD3APgA+gD+AQEBBgELAREBFwEdASQBLAEzATsBQgFKAVEBVwFcAWABYgFkAWQBZQFlAWcBawFwAXgBggGOAZoBpgGyAbwBxQHMAdEB1QHXAdkB2QHYAdUB0AHJAcEBuQGwAakBpQGkAaYBrAG0Ab0BxgHNAdAB0AHNAcYBvgG1Aa0BpgGiAaEBoQGjAaUBpgGnAaYBpAGhAZ4BnAGbAZoBmwGeAaABogGjAaMBoAGaAZIBiQF9AXEBZgFaAVEBSQFCAT0BOAE0ATABKwEmAR8BFwEPAQYA/ADyAOgA3gDSAMYAuQCqAJsAjAB9AG8AYQBWAEwAQwA9ADgANgA1ADYAOQA/AEUATQBWAF4AZQBrAG4AbgBsAGcAYQBaAFMATQBIAEUARABFAEgATABQAFUAWgBeAGAAYABfAFsAVABMAEMAOQAvACcAIQAcABsAGwAeACEAJAAmACcAJgAjAB4AGAARAAoABP////v/+f/4//n//P//AAIABgAJAA0ADwASABQAFgAXABgAGAAYABgAFwAXABcAGAAaAB0AIQAmACsALwAyADMAMQAsACQAGQAOAAH/9v/r/+L/2//V/9D/y//G/8L/vv+7/7v/vv/E/8//3v/vAAIAFQAmADQAPgBCAEEAPAAyACUAFwAI//r/7f/h/9f/zP/C/7j/rf+h/5X/h/96/2z/Xv9P/z//Lf8Z/wL+6f7N/rH+lP56/mP+Uf5F/j/+Pf4+/kD+Qv5A/jn+Lf4c/gb97f3S/bj9n/2K/Xj9av1g/Vr9Vv1U/VP9Uf1O/Un9QP0z/SL9Dfz1/Nv8wfyo/JH8fvxt/F/8VPxI/Dz8L/wh/BH8APvv++D71PvK+8P7vvu7+7f7sfuq+6H7lfuH+3j7aPtY+0b7Mfsb+wD64vq/+pn6cPpG+hz58/nN+ar5ivlv+Vb5Qfkv+SD5FPkL+Qb5BPkF+Qf5CvkL+Qr5Bfj8+O/43vjL+LX4n/iK+HT4XvhI+C/4E/fy98v3nvdr9zL29Paz9nH2MPXx9bf1gfVS9Sv1C/Tz9OH01vTP9Mz0y/TL9Mr0x/TC9Lv0svSn9Jv0kPSG9H/0evR59Hz0g/SN9Jn0p/S19ML0zvTY9N/04/Tl9OX04/Tg9N302fTW9NP00fTP9M/0z/TQ9NL01vTb9OH06fTy9P31CfUW9ST1NPVE9VT1ZPV19YX1lPWi9a71ufXC9cj1zvXR9dP10/XT9dP10vXR9dH10PXQ9dH10fXT9dT11/Xb9eH16vX39gn2H/Y69lr2fvaj9sn27vcQ9y73RvdZ92f3cPd393z3gPeF94z3lvei97H3w/fX9+34Bfge+Dj4Uvht+Ir4qPjH+Or5D/k3+WP5kfnB+fT6KPpe+pb60PsN+0/7lfvh/DH8hfza/S79f/3L/hD+T/6I/rz+7f8d/07/f/+y/+YAGQBLAHoApADKAOsBBwEeATEBPwFJAU8BUwFWAVwBZwF8AZ4B0AITAmYCxwMxA58ECwRxBMsFGQVaBZEFwAXsBhgGRwZ7BrMG7wcuB20HqgfkCBwIUAiDCLMI4gkRCT4JagmVCb0J4woGCicKRgpjCn4KlgqsCr8KzQrWCtoK2ArRCsQKswqcCoIKZApDCiEKAAniCcsJvQm7CcYJ4goMCkMKhgrPCx0LbAu4DAEMRQyFDMAM+A0uDWINlA3EDfMOIA5LDnUOnA7CDucPDA8wD1MPdQ+WD7YP1g/1EBUQNRBXEHkQnRDBEOQRBhEmEUURYRF+EZsRuhHcEgISKRJTEnwSpBLJEuoTCBMlE0MTZROME7sT8BQrFGkUphTfFRAVNxVUFWcVdBV9FYYVkxWkFbkV0xXvFgoWIhY3FkgWVxZkFnIWgxaYFrAWyRbhFvYXBhcPFxEXDxcJFwQXARcDFwoXFRciFy8XNxc5FzMXJRcQFvUW2Ra9FqUWkRaFFn8WgBaIFpUWpxa9FtYW8BcKFyIXNRdDF0sXTBdGFz0XMBckFxoXFBcTFxcXIBcrFzgXRBdOF1UXWRdZF1cXUhdMF0MXORctFyAXExcGFvkW7hbkFtwW0xbIFroWqBaRFnQWVBYxFg8V8BXWFcEVshWmFZwVjxV8FWIVPxUUFOMUrxR9FE8UKRQME/kT7xPrE+sT7RPtE+wT6BPhE9kTzxPGE7sTsROmE5oTjBN8E2oTVxNCEy0TGBMFEtsS0RLIEsASuBKuEqQSmRKMEn8ScRJiElMSQhIxEh8SDBH5EeYR0xHAEa4RnBGLEXkRZxFTEUARLBEYEQUQ8hDgEM4QuxCoEJIQexBiEEYQKhAND/EP1w++D6gPkw9/D2wPWQ9GDzMPIA8NDvoO6A7XDsYOtQ6jDpAOeg5gDkMOIw3/DdgNrQ2BDVINIgzxDMEMkQxjDDcMDwvqC8gLqguQC3kLZAtSC0ALMAsgCxALAAruCtsKxQqtCpIKdgpZCj0KIwoNCfwJ8AnoCeQJ4AnbCdEJwgmqCYoJYgk1CQMI0QihCHQITAgqCA0H9AfeB8oHtgegB4oHcwdbB0MHKwcTBvwG5AbMBrMGmQZ+BmIGRQYnBgoF7gXTBboFowWNBXoFaAVXBUgFOgUtBSIFFwUOBQME+ATsBN0EywS4BKIEigRyBFoEQgQsBBcEAwPvA9wDyQO1A58DiQNzA10DRwMzAyEDEQMCAvQC5gLXAscCtQKgAokCcQJXAjwCIAIGAesB0gG7AaQBjgF5AWUBUQE9ASkBFQEBAO0A2ADFALIAoACQAIAAcgBkAFYARwA4ACgAFgAD/+//2f/C/6r/k/97/2X/UP89/y3/H/8T/wn/AP74/u7+5P7X/sn+uf6o/pj+iv59/nP+a/5j/lz+Uv5F/jT+H/4H/ez90f22/Z79if14/Wn9XP1Q/UT9Nv0n/Rf9Bvz1/OX81vzI/Lv8rvyi/JT8hvx3/Gj8WfxL/D/8Nfwu/Cf8Ivwd/Bf8EfwJ/AH7+fvw++j74fvb+9b70fvL+8X7vvu3+677pfuc+5P7i/uE+3z7dftt+2T7WvtO+0L7Nfso+xz7EPsF+vv68vrq+uL62/rT+sr6wvq6+rP6rPqn+qL6nfqX+pH6ifp/+nP6ZvpY+kv6Pvo1+i76LPot+jL6OvpE+lD6XPpn+nH6ePp8+n36e/p3+nH6a/pm+mX6afpy+oH6lfqt+sX63Pru+vn6/Pr2+ur62PrD+q/6nvqS+ov6iPqH+oj6h/qD+nv6b/pf+kz6OPol+hP6Avnz+eT51PnE+bL5oPmO+X75c/lr+Wr5bvl3+YP5kfmg+a/5vfnK+db55Pnz+gX6Gfow+kr6ZvqB+p36tvrO+uP69vsG+xX7Ivsv+zz7SftY+2f7d/uG+5b7pPuv+7j7vfu++737ufu0+6/7qvum+6L7nvua+5T7jPuD+3j7bfti+1r7VPtS+1P7V/te+2b7bvt1+3z7gvuI+477lvuf+6r7t/vG+9b75/v4/An8Gfwn/DT8PvxF/En8SPxE/Dv8L/wg/A/7/Pvp+9b7w/ux+6D7kPuB+3X7bftp+2v7dPuE+5v7uvvf/Ar8Ovxt/KH81f0H/Tf9Yv2I/af9v/3O/db91/3T/cz9xf3A/b/9wv3M/dr97P4B/hj+Lv5D/lb+af57/o3+oP61/sr+4f74/w7/JP83/0r/XP9t/37/j/+i/7T/x//Y/+f/9P/8AAEAAgAA//v/9v/w/+z/6P/n/+f/6f/t//H/9f/6//8ABQAKABAAFwAfACgAMgA+AEoAVgBjAHEAfgCMAJoAqAC3AMYA1ADjAPAA/AEHAQ8BFgEbAR4BIAEhASIBIgEjASMBJAElASUBJQElASQBIwEiASABHwEeAR4BHwEgASMBJwErATEBNwE+AUUBTAFTAVoBYQFnAW0BcwF4AXwBfwGAAYEBgQGCAYQBhwGNAZYBogGwAcAB0AHgAe8B+wIFAgwCEgIWAhcCGAIWAhMCDgIIAgAB9wHvAegB4wHiAeMB5gHsAfEB9QH2AfQB7wHmAdsB0AHGAb0BuQG3AbkBvQHCAcgBzQHRAdMB1AHTAdEB0AHPAc4BzwHQAdEB0QHRAdABzQHHAcABtwGsAaABkwGGAXoBbgFlAVwBVQFPAUkBQwE8ATQBLAEiARgBDAEBAPYA6gDeANEAxAC2AKgAmgCLAH4AcQBkAFoAUABIAEEAOwA3ADYANgA4ADwAQQBIAE8AVgBcAGAAYwBjAGIAYABcAFgAVQBRAE4ASwBKAEoASgBMAFAAVABYAFwAYABhAGAAXABWAE0AQwA5ADEALAAqACwAMgA8AEgAVQBjAG8AegCBAIYAiACIAIYAgwB/AHwAegB4AHcAdwB3AHgAeAB5AHkAeQB4AHcAdgB0AHMAcABuAGsAaABlAGIAYQBhAGMAZwBsAHIAeAB8AH8AfgB7AHQAawBgAFUASwBDAD4AOgA5ADkAOgA8AD0AQABEAEsAVgBmAHsAlACyANEA8QEPASkBPgFMAVIBUwFNAUIBNAEiARAA/QDpANYAwgCwAJ0AiwB5AGcAVQBEADIAHwAJ//H/1P+z/47/Y/81/wX+1f6p/oH+Yf5J/jj+Lv4p/ib+I/4c/hH+AP3q/dD9tf2a/YL9bv1f/Vf9U/1U/Vj9Xv1k/Wn9bP1s/Wj9YP1U/UP9Lv0X/P384/zK/LP8nvyM/H38cPxj/Ff8Sfw7/C38H/wU/A38CvwM/BL8G/wm/DD8N/w7/Dr8M/wo/Bj8BPvt+9P7t/uX+3T7Tvsl+vr6zfqg+nT6Sfoh+fz52fm5+Zv5f/ll+U35Ofko+Rv5EfkL+Qb5Avj9+Pb46vjb+Mj4sfiZ+IH4avhU+EH4Lvgc+Aj38ffU97H3hvdU9xz23fac9ln2FvXW9Zr1ZPU09Qv06fTP9Lr0q/Sh9Jn0k/SN9If0gPR39G30YfRV9En0P/Q29DH0L/Qy9Dj0QfRN9Fr0Z/Rz9H70hvSL9Iz0i/SH9IL0fPR29HH0bPRp9Gb0ZPRj9GP0Y/Rj9GT0ZvRo9Gz0cPR19Hz0g/SM9JX0ofSu9L30zvTh9Pb1C/Uh9Tb1SvVc9Wz1evWF9Y71lfWa9Z71oPWi9aT1pfWn9aj1qfWq9ar1qvWq9av1rvW09b/1z/Xn9gT2KfZS9n72q/bX9v73H/c590v3V/dd9173Xvdd9133X/dk9233eveJ95v3rvfE99r38PgH+B/4N/hR+G34jPiu+NP4/Pkn+Vb5h/m7+fL6K/po+qr68fs9+4374fw3/Iz83v0t/XX9t/30/iz+Yf6V/sn+/v80/2v/ov/XAAwAPQBqAJQAuQDYAPEBAwENARABDQEIAQQBCAEYAToBcwHCAiYCmwMbA5wEGQSIBOcFMgVsBZcFuAXVBfMGFQY9BmwGnwbWBw8HRwd/B7gH8AgrCGcIpAjhCR0JVQmICbQJ2wn8ChkKNApOCmkKgwqdCrQKxQrPCtAKyAq2CpwKegpUCioJ/wnVCawJiAlqCVQJSQlMCV4JfwmxCfAKOwqNCuMLOguNC9sMIwxlDKIM2g0QDUMNdQ2mDdUOAw4wDlsOhQ6uDtYO/Q8kD0oPbw+RD7MP0g/xEA8QLhBPEHEQlRC6EN8RBBEnEUgRaBGHEaYRxxHrEhMSPRJpEpYSwhLqEw8TMRNRE3ETlRO+E+4UJRRhFKAU3RUTFUAVYBV0FX0VgBV/FYEVihWbFbUV1hX8FiIWRRZiFngWiBaVFqIWsxbKFugXDRc2F18XhhemF74XzBfRF88XyRfBF7gXsBenF54XkReAF2sXURc1FxgW/RbnFtcWzxbPFtYW4hbyFwQXFhcmFzUXQRdKF08XURdQF0sXRBc8FzQXLhcsFy0XMxc9F0oXWBdlF3EXeBd8F30XeRd0F2wXZBdaF1AXRRc4FysXHRcPFwIW9hbtFuUW3RbVFsoWuxanFo0WbxZNFisWCxXvFdcVxBW0FaYVlRWAFWQVQBUWFOcUtRSFFFkUNBQXFAIT9RPsE+cT4xPfE9oT0hPKE8ATthOrE6ATlROIE3kTaBNVE0ETLRMZEwYS9RLnEt4S1xLQEsgSvhKyEqQSlhKHEngSaRJaEksSOxIpEhcSAxHvEdoRxRGwEZwRiBF2EWMRURE/ES0RGxEIEPYQ5BDQELwQphCOEHMQVhA3EBYP9g/XD7sPog+MD3oPag9bD00PPw8wDyAPDw7/Du8O4A7RDsIOsg6gDosOcg5UDjEOCQ3dDa4NfA1JDRYM5Qy1DIkMYAw9DB8MBgvyC+IL1AvJC70LrwufC4wLdwtgC0cLLgsVCv0K5grPCrgKoAqICm8KVgo9CicKEgn/Ce8J4AnRCb8JqgmPCW8JSAkdCPAIwQiVCGwISQgsCBQIAQfwB+EH0Ae9B6YHjQdyB1YHOgcfBwUG7QbXBsIGrAaVBn0GYwZIBisGDQXwBdMFuAWfBYcFcQVcBUkFNwUnBRkFDQUCBPoE8gTrBOME2ATLBLsEqASSBHoEYQRJBDIEHAQHA/MD4APMA7cDoQOKA3MDXANHAzQDIwMVAwgC/QLyAuUC1wLFArAClwJ8Al8CQQIjAgYB6gHRAboBpQGSAYEBcAFfAU4BOwEnAREA+QDhAMgAsACZAIQAcgBhAFIARAA2ACgAGAAG//P/3v/H/6//l/+A/2n/U/8//y3/Hf8O/wH+9f7o/tz+zv6+/q3+m/6I/nb+Zf5Y/k3+Rv5B/j7+Ov42/i7+I/4U/gH97P3V/b79p/2T/YD9b/1g/VH9Q/00/Sb9F/0J/Pr87fzf/NH8wvyy/KH8jvx5/GT8UPw8/Cv8G/wP/AX7/vv3+/H76/vk+9371fvM+8T7vPu0+637p/uh+5r7lPuO+4f7gPt5+3H7avti+1r7UvtK+0H7OPsu+yP7GPsN+wH69/rt+uT63PrV+s/6yfrC+rz6tPqs+qX6nfqX+pD6ivqE+nz6c/po+lv6TPo8+i36IfoZ+hX6F/oe+ir6OPpH+lb6Yvpq+m36a/pk+lj6Svo6+ir6G/oR+gv6DPoT+iH6NfpM+mX6ffqQ+p36o/qi+pv6kPqE+nr6dfp0+nn6gfqK+pL6lvqU+ov6fPpo+lL6O/on+hX6Bvn5+ez53vnL+bX5nPmA+WX5Tvk9+TT5NPk8+Uz5Yfl4+Y/5pfm4+cj51/nk+fH5/voN+h76L/pB+lP6Zfp2+oX6lPqi+rD6vfrK+tf65Prx+v77C/sX+yH7K/sz+zn7PvtD+0b7SvtQ+1b7Xvtn+3D7ePt9+3/7fPt1+2v7XvtS+0f7QPs9+z77RPtM+1b7YPtp+3H7d/t8+4L7ifuS+537q/u7+8374Pvx/AL8EPwb/CL8Jfwk/B78FfwH+/b74vvM+7X7nfuF+237Vfs++yn7FPsD+vT66vrn+uz6+fsQ+zL7XfuR+838D/xU/Jr83/0g/Vr9jP21/dL94/3r/er94/3Y/c79xv3D/cb9z/3f/fL+B/4c/jH+Q/5T/mL+cP5//pD+ov62/sv+4f73/wv/Hv8w/0H/U/9l/3n/jv+j/7n/zv/g/+7/+P/+/////f/5//T/8P/t/+z/7f/w//b//AADAAsAEgAZACAAJgAsADMAOQBAAEgAUQBbAGYAcgB+AIsAmACmALMAwQDPAN0A7AD7AQkBFwEkAS8BOQFAAUUBRwFIAUYBRAFBAT4BPAE6ATkBOQE5ATsBPQE/AUEBQwFFAUcBSAFKAUsBTgFRAVQBWAFdAWIBZwFsAXIBdwF9AYMBiQGOAZMBlwGbAZ0BoAGiAaYBrAG0Ab4BzAHcAe0B/gIOAh0CKgI0AjwCQQJGAkkCSwJNAk0CTAJIAkQCPQI2AjACKgImAiQCJAIkAiQCIwIfAhgCDgICAfUB6AHdAdQBzwHNAc4B0gHWAdsB4AHkAecB6gHrAe0B7gHvAfAB8QHxAfIB8QHxAe8B7QHqAeYB3wHXAc0BwQG0AacBmQGMAYABdgFsAWQBXAFTAUsBQQE3ASsBIAEUAQgA/ADwAOQA1wDKALwArQCfAJEAgwB2AGoAXwBWAE4ARwBCAD4AOwA6ADsAPQBAAEQASABMAFAAVABYAFsAXQBfAGEAYQBhAF8AXABZAFYAUwBRAFEAUgBVAFgAXABeAF4AXABYAFEASgBDAD8APQBAAEkAVgBnAHsAkQCnAL0A0gDkAPQBAQELARMBGAEbARwBGwEYARUBEAEKAQQA/QD1AO4A5gDeANcA0ADJAMMAvgC5ALYAsgCwAK8ArwCxALQAuAC9AMMAyADMAM4AzQDKAMUAvgC3ALAAqwCoAKcAqgCuALQAuwDDAMwA1gDjAPMBBwEgAT0BXgGBAaQBxwHmAgECFwInAjICNwI4AjUCLgIkAhgCCQH3AeMBzQG2AZ0BhAFsAVQBPQEmAQ8A9wDcAL4AmwBxAEEADP/Q/5H/Uv8T/tr+p/59/lv+Qv4v/iH+FP4H/ff95f3Q/br9pP2R/YL9d/1z/XP9d/1+/YX9jP2S/ZX9lv2T/Y79hv16/Wv9WP1D/Sz9E/z7/OT8z/y8/Kv8nPyO/IH8dPxn/Fv8UfxL/En8TfxW/GT8dfyH/Jj8pvyu/LD8q/yf/I78efxf/EP8JfwE++D7u/uT+2r7QPsU+ur6v/qW+m36Rvof+fj50vmt+Yn5aPlJ+S75F/kD+PL44vjT+ML4sPic+IX4bvhX+ED4LPgb+Az3//fx9+H3zve095P3avc69wL2xPaC9j71+/W69X31RfUT9Oj0xfSn9JD0fvRw9GT0W/RR9Ej0PvQz9Cf0GvQO9ALz+PPx8+zz6/Pu8/Tz/PQH9BP0H/Qp9DH0N/Q49Db0MPQo9B/0FvQN9AXz//P88/rz+vP78/zz/vQA9AP0BfQI9Av0DvQR9Bb0G/Qh9Cn0M/Q/9E70X/R09Iv0pPS99Nf08PUH9Rz1LvU99Uj1UPVW9Vr1XPVe9WD1YfVj9Wb1afVs9W31bvVt9Wv1afVp9Wz1dvWG9aD1w/Xt9h72U/aH9rj24/cG9x/3Lvc19zX3Mfcs9yf3Jfcm9yv3NfdC91L3Zfd59473o/e598334vf3+A74JvhB+F/4gvio+NL5Afkz+Wj5ovnf+iD6Zvqv+vz7S/uc++v8OPyC/Mf9CP1F/X/9uP3w/in+Y/6d/tj/Ev9K/4H/tf/nABYAQQBnAIcAnwCtALIArwCmAJ8AngCrAM0BCQFfAc8CUwLiA3QD/wR6BOAFLwVpBZIFsAXIBeEF/wYiBkoGdwamBtYHCAc6B3AHqgfqCC8IeAjCCQoJTAmFCbMJ2An0CgwKIgo6ClUKcgqPCqkKvArDCr0KqAqGClgKIgnqCbIJfwlSCS4JFAkDCP0JAwkUCTMJXgmWCdkKJQp3CswLIAtyC74MBQxHDIUMvwz3DS0NYw2XDcoN/A4sDloOhg6wDtoPAg8oD04PcQ+SD7IP0A/sEAoQKBBJEG0QlBC9EOcRERE5EV8RghGjEcQR5BIHEiwSVRKAEq0S2hMFEy4TVRN5E54TxBPuFB0UUhSKFMMU+BUmFUkVXxVoFWgVYhVcFVsVZRV8FaAVzxYDFjkWahaTFrEWxRbSFtsW5hb2Fw8XMBdYF4QXsBfXF/YYChgUGBMYCxf8F+oX1Re+F6YXjRdyF1YXORcdFwQW7xbiFtsW3BbjFu8W/hcOFx4XLBc4F0EXSBdMF04XTRdLF0gXRBdAFz0XPRdBF0oXVhdlF3UXhReTF5wXoRegF5sXkxeKF38XdRdrF2EXVxdMFz8XMRcjFxQXBhb5Fu4W5BbaFs8WwhaxFpsWghZmFkgWKhYOFfQV3BXGFa8VlhV5FVgVMhUHFNsUrhSDFF0UPhQkFBEUBBP6E/IT6hPiE9kTzhPCE7UTpxOZE4oTexNqE1kTRxM1EyMTEhMDEvcS7RLlEvYS7BLgEtASvxKrEpcShBJyEmMSVRJJEjwSLxIgEg4R+RHiEcoRsRGZEYIRbRFZEUYRNREjEREQ/hDpENQQvRCkEIoQbhBREDIQEg/xD9IPtA+aD4MPcA9iD1cPTw9JD0IPOw80DysPIA8VDwkO+w7rDtkOww6pDooOZQ47DgwN2g2lDXANPA0KDNoMsAyKDGoMTww6DCsMIAwZDBUMEQwLDAML9gvkC80LsQuRC3ALTgstCw4K8grYCr8KqAqQCngKXwpFCisKEQn5CeIJzQm4CaIJiglwCVIJMAkKCOIIugiTCG8IUAg2CCEIDwf/B+8H3gfKB7IHmAd7B10HQAclBw0G9wblBtUGxQa0BqIGjQZ2Bl0GQgYmBgsF8AXWBb4FpQWOBXcFYAVKBTYFJAUUBQcE+wTxBOcE3ATOBL0EqQSTBHwEZAROBDsEKgQcBBAEBAP3A+gD1gPBA6oDkgN5A2MDTwM+Ay8DIwMXAwsC/QLsAtgCwAKmAokCagJLAiwCDgHyAdgBwQGsAZsBigF8AW0BXgFNATkBIwEKAO8A0wC3AJ0AhABvAFwASwA8AC0AHgAN//r/5P/O/7b/nv+H/3H/Xf9K/zr/K/8e/xH/BP73/un+2f7H/rP+nP6E/mz+Vf5A/i7+If4X/hH+Dv4N/gr+Bv3//fX96P3X/cb9s/2h/ZD9gP1x/WP9Vv1J/Tv9LP0e/Q78/vzu/N38zPy5/Kb8kfx7/GX8Tfw2/CD8C/v4++f72PvL+8D7tfus+6P7mvuR+4j7gPt4+3D7avtl+2H7Xvtb+1j7VPtQ+0r7Q/s8+zT7K/sj+xv7FPsM+wT6+/ry+un63/rW+s36xvq++rj6sfqq+qL6mfqP+oX6evpx+mn6Yvpc+lb6UPpI+j76M/om+hr6EPoK+gn6DfoY+if6OPpK+ln6Y/pn+mP6WfpI+jL6Gfn/+eb50fnA+bb5tPm4+cT51vnr+gL6GPor+jr6Q/pG+kX6Qvo/+j76QvpK+lX6Y/pw+nn6e/p2+mn6VvpA+in6FfoH+f/5/Pn8+fz5+fnv+d75xvmn+Yb5Z/lN+Tv5Nfk5+Uf5Xfl3+ZL5q/nB+dL53/no+e/59Pn5+f76A/oI+g76FPoa+iD6J/ov+jj6Q/pO+lv6aPp1+oP6kPqd+qj6s/q7+sP6yfrO+tT62/rk+u/6/vsO+yD7MPs/+0n7TvtO+0j7QPs2+y37J/sl+yn7MPs7+0f7VPtf+2j7cPt1+3v7gfuJ+5X7ovuz+8b72Pvr+/r8B/wP/BH8D/wH+/n76PvS+7n7nfuA+2L7RPsm+wj67PrQ+rb6nvqJ+nj6bfpq+nD6gPqc+sP69vs0+3v7yfwc/HH8xP0T/Vn9lP3C/eH98/35/fX96/3f/dT9zv3O/db94/31/gr+H/4y/kP+Uf5d/mj+dP6C/pL+pf65/s/+5P73/wn/Gf8p/zn/Sv9e/3X/jv+n/8H/2P/t//wACAAPABIAEwASABEAEAARABEAEwAWABkAHgAjACkAMQA5AEIASwBUAFsAYgBoAG4AdQB9AIYAkgCfAK4AvgDPAN8A7gD9AQoBFgEiAS0BOAFDAU4BVwFfAWUBaQFqAWgBZQFfAVkBUgFMAUcBRAFDAUUBSQFOAVUBXAFjAWkBbgFzAXYBeAF6AXwBfwGBAYQBhwGLAY8BlAGZAZ8BpQGrAbEBtgG7Ab8BwwHHAcsB0gHbAeYB9AIDAhMCIwIxAj4CSQJRAlgCXQJjAmkCbwJ2AnwCgQKFAoUChAKAAnoCdAJuAmgCYgJdAlcCUAJIAj0CMQIkAhcCCgIAAfcB8QHtAesB6QHoAegB6AHoAekB6wHuAfIB9wH8AgECBgIJAgwCDgIQAhICFAIVAhYCFAIRAgoCAAHzAeQB0wHDAbMBpQGZAY0BgwF5AW4BYwFWAUkBOwEtAR8BEQEEAPcA6gDdANAAwQCzAKUAlwCKAH4AcwBqAGIAWwBVAFAATABJAEYARABDAEMAQwBEAEcASgBPAFUAWwBiAGcAbABuAG8AbQBpAGMAXgBaAFcAVgBXAFkAWwBdAF4AXQBaAFYAUwBRAFMAWQBkAHQAiQChALwA2ADzAQ8BKQFBAVgBbAF/AY4BmgGiAaYBpgGjAZwBkwGIAXwBcAFkAVcBTAFAATQBKQEeARUBDgEIAQUBAwEEAQcBCwEPARUBGgEeASIBJAEmASYBJAEiASABHwEfASABJAEpATEBOgFDAU0BWAFjAW8BfgGPAaUBvwHcAf0CHwJAAl8CegKRAqICrwK4Ar4CwwLGAskCygLKAsYCvwKzAqICjQJzAlcCOQIaAfwB3gHBAaUBiQFsAUwBKQEAANIAnQBiACL/3/+b/1n/G/7j/rL+if5n/kv+M/4d/gn99v3k/dX9yP2//bv9u/3A/cb9zv3V/dr93P3b/db9z/3H/bz9sf2j/ZT9gv1u/Vj9QP0o/RH8+/zo/Nf8yfy8/LD8pfya/I/8hvyA/H38f/yG/JL8oPyw/L78yfzQ/ND8y/y//K/8m/yE/Gz8U/w5/B78Avvk+8T7ovt++1n7MfsI+t76s/qG+ln6K/n9+dD5pfl7+VT5MPkP+PD41Pi5+J74hPhq+FH4OPgi+A33+/fs99/30/fH97j3pfeL92v3Q/cT9tz2n/Zd9hr11vWT9VT1GvTm9Lj0kvRz9Fr0RvQ39Cv0IfQX9A70A/P48+zz4PPU88nzv/O387LzsPOw87PzufPB88nz0vPZ89/z4fPg89zz1PPK877zsvOn857zmPOU85TzlvOZ853zofOl86nzrPOw87PztvO6877zw/PJ89Hz2/Pn8/f0CvQg9Dn0VPRx9I70qvTF9N308fUB9Q31FfUZ9Rv1GvUY9Rf1F/UY9Rr1HvUj9Sf1KfUp9Sj1JPUh9SD1I/Uu9UH1X/WH9bf17PYj9lj2hvas9sj22vbh9uL23fbW9tD2zfbN9tL23Pbq9vv3D/ck9zr3UPdm93r3jvei97b3y/fi9/z4Gvg9+GT4kPjA+PT5LPlo+ab56Pos+nH6uPr/+0b7i/vO/A78TfyL/Mj9Bv1F/YX9xP4D/kD+ev6w/uT/FP9D/3H/nv/J//EAEwAsADwAQgBBAD4APwBLAGwApQD6AWoB7wKCAxkDqQQqBJcE7QUuBV0FgQWfBb4F4AYGBjAGXQaKBrcG5QcVB0oHhgfKCBcIaQi8CQwJUwmNCbkJ1wnsCfsKCQobCjMKUApvCosKngqkCpgKegpMChEJ0QmQCVUJJQkCCO0I5gjrCPsJFQk3CWIJlAnOCg4KVAqdCugLMwt7C8AMAgxBDH0MuAzyDSwNZg2eDdYODA4/DnAOng7JDvMPHA9CD2cPiQ+qD8kP5hADECAQPxBhEIYQrxDbEQgRNRFhEYkRrhHQEfASDhItEk4ScRKYEsIS7BMYE0ITaxOTE7sT5BQPFD8UcRSlFNgVBhUtFUgVWBVbFVYVTRVEFUMVThVnFY8VwxX+FjsWcxaiFsYW3RbsFvQW/BcHFxkXMhdSF3YXmhe6F9MX4hfoF+QX2BfIF7QXnheIF3IXXBdGFzEXHBcJFvoW7hbnFuUW5hbqFvAW9hb8FwEXBhcMFxQXHBcmFzIXPRdIF1EXWBdeF2MXaRdwF3oXhheVF6QXsRe8F8IXwxe/F7cXrBegF5MXiBd+F3UXbBdiF1cXSRc4FycXFBcDFvIW4xbVFsgWuxatFp4WjBZ4FmEWSRYvFhMV9xXYFbgVlRVvFUcVHhTzFMoUoxSAFGIUSBQzFCMUFRQKE/8T9RPqE90T0BPBE7IToROQE34TbBNaE0kTORMrEx8TFRMOEwgTAxL9EwkS+RLmEs8SthKdEoYSchJhElQSShJCEjkSLhIgEg4R9xHeEcMRpxGMEXQRXhFLETgRJhETEP0Q5BDIEKkQiBBlEEIQIBAAD+EPxA+rD5QPgQ9yD2cPXw9bD1kPWg9bD1wPXA9ZD1UPTQ9ADzAPGg7/Dt4Otw6JDlYOHg3kDakNbw05DQcM3Ay3DJkMggxxDGUMXAxXDFMMUAxNDEgMQQw3DCkMFgv/C+QLxQujC4ALXAs5CxYK9QrVCrcKmAp7Cl0KPwoiCgUJ6gnQCbgJogmNCXkJZAlNCTQJGAj6CNkIuAiWCHUIVwg7CCIICwf2B+AHygezB5oHgAdmB00HNgchBxAHAgb3Bu0G4wbYBsoGuganBpIGfAZlBk0GNgYgBgkF8wXbBcIFqAWOBXMFWQVBBSoFFQUCBO4E2gTEBKwEkwR5BGEESwQ5BCwEJQQhBCEEIQQgBBwEEwQFA/ID3QPGA68DmQOGA3QDZANVA0UDMwMfAwkC8ALUArYClgJ1AlQCMgIRAfEB1AG5AaIBjwF/AXIBZgFaAUwBPAEnAQ4A8wDVALgAmwCBAGsAWABHADgAKQAZAAb/8v/c/8T/rf+V/4D/bP9b/0z/P/8z/yj/Hf8R/wT+9v7l/tH+uv6g/oT+Z/5K/i/+F/4D/fT96f3h/dv91f3P/cj9v/20/an9nf2S/Yj9f/13/XD9aP1f/VP9Rf00/SD9C/z0/N78yPyy/J78ivx1/GD8Svwz/Br8APvl+8v7sfua+4X7c/tk+1f7TftF+z37N/sx+yz7KPsm+yX7Jvsn+yf7J/sl+yH7G/sU+wv7A/r7+vT67vrp+uX64Pra+tP6yvrB+rj6rvqm+p36lfqN+oT6efpu+mH6VfpK+kL6O/o3+jb6Nfoz+jD6K/ol+h36FvoR+hD6FPoc+ij6NvpD+k36UvpP+kX6M/ob+f753vm/+aL5ifl1+Wn5ZPlm+W/5fvmR+ab5u/nN+dz55/nt+fH58vn1+fn6AfoN+hr6KPo0+jr6Ofox+iH6DPn1+eH50vnM+c/52fno+fn6BfoL+gb5+Png+cL5pPmI+XT5avlq+XX5h/me+bb5zfng+e359fn5+fj59fnw+ev55vnh+d352vnY+dj52fnc+eD55vnt+fb5//oK+hX6Ifou+jv6SfpV+mD6afpw+nf6ffqE+o36mPqn+rj6yvrc+uz6+PsA+wP7A/sA+v76/vsB+wj7E/si+zL7QvtR+177aPtw+3j7f/uH+5H7nfus+7z7zPvc++r79fv8+/37+fvw++H7zfu1+5n7eftY+zT7EPrr+sf6o/qB+mH6RPot+hv6EfoQ+hn6LfpN+nr6svr2+0T7mvv2/FT8sf0J/Vj9mv3N/fD+A/4K/gb9/P3w/eb94f3j/ez9+v4L/h7+L/4//kv+Vv5f/mn+dv6F/pf+rP7C/tj+7P7+/w7/Hf8s/z3/Uf9o/4P/oP+9/9r/9QAMACAALwA8AEcAUABYAF8AZABnAGYAYwBeAFcAUQBMAEsATwBWAGEAbgB8AIgAkgCZAJ4AogCmAKwAtQDBANAA4gD1AQgBGQEoATUBQAFIAVABVgFdAWQBawFyAXgBfAF/AYABfQF5AXMBbAFlAV4BWQFXAVcBWwFhAWoBdAF/AYkBkgGZAZ8BowGmAagBqQGrAa0BsAGzAbcBvAHBAccBzAHSAdcB2wHfAeIB5QHoAewB8QH5AgMCEAIeAi0CPAJKAlYCYAJoAnACdwJ/AogCkwKeAqoCtQK9AsMCxgLFAsECvAK1AqwCpAKaApAChQJ5AmwCXgJQAkMCNgIsAiMCHAIVAg8CCQIDAf0B+AH0AfIB8wH3Af0CBQIOAhcCHwImAiwCMQI2AjsCQQJHAksCTgJOAkkCQAI0AiQCEgH/Ae4B3gHPAcMBtwGrAZ4BkAGAAW8BXQFLATkBKAEZAQoA/ADuAOAA0gDEALYAqACbAI8AhQB8AHQAbQBnAGIAXQBYAFQAUABNAEoARwBGAEUARwBKAE8AVQBcAGMAaABsAG4AbQBpAGUAYQBdAFsAXABeAGIAZgBpAGsAawBqAGkAaQBrAHEAfQCOAKQAvQDaAPcBFQExAU0BZwGAAZcBrgHBAdMB4AHpAe0B7QHoAd8B1AHJAb0BsgGpAaABmAGPAYcBfwF4AXEBbAFqAWsBbwF2AX8BiAGSAZsBoQGkAaUBpAGgAZ0BmgGZAZoBnwGoAbQBwwHTAeMB8wIBAg0CFwIhAisCNwJHAlsCcwKOAqsCxwLhAvYDBQMNAxEDEAMNAwoDCAMJAwwDEAMUAxUDEQMJAvoC5QLLAqwCiwJoAkUCIgIBAeABwQGjAYQBZAFBARwA8gDEAJEAWQAf/+P/qP9v/zn/Cf7d/rb+lP52/lv+Rf4y/iT+HP4Z/hv+Iv4r/jX+Pf5C/kL+Pv40/ij+GP4I/ff95v3V/cL9rv2Y/YD9Z/1N/Tb9IP0O/P/88/zp/OH81/zN/ML8tvyr/KL8nPya/Jz8ofyn/K78s/y1/LL8qvyf/I/8fvxr/Fn8R/w2/Cb8FfwE+/D72fu++577e/tT+yj6+vrK+pn6aPo4+gn52/mw+Yb5Xvk3+RH47PjH+KL4ffha+Dj4F/f69+D3yfe196T3lPeD93D3Wvc+9x329PbF9pD2VfYW9db1lPVU9Rb03fSp9Hz0VvQ39B/0DPP+8/Tz6/Pj89vz0fPH87vzr/Oj85jzjvOF83/zevN383bzd/N583zzf/OB84LzgfN983fzbfNi81XzSfM+8zXzL/Mt8y7zMfM28zzzQvNH80zzUPNU81fzW/Nf82Tza/Ny83vzhvOU86XzufPR8+z0CvQq9Ez0bPSL9Kf0v/TR9N/05/Tq9Or05vTi9N302fTW9Nb02PTb9N704fTh9OD03fTa9Nj02vTj9PT1D/U09WD1kvXG9fj2JPZH9mH2cfZ39nf2c/Zt9mf2ZfZm9mv2dfaC9pP2pfa69s/25Pb69w/3JPc59073ZPd795b3tPfW9/34KfhZ+Iz4xPj9+Tj5dfmz+fH6L/pu+qz66vsn+2X7o/vj/CX8afyu/PT9Ov19/bz99f4p/lj+hP6v/tv/Cf84/2j/lv++/97/9AABAAgADwAeADsAbQC4ARwBlgIeAq0DOAO4BCYEgQTIBP8FLAVVBXwFpgXTBgIGMgZiBpIGwQb0BywHbQe4CAsIZAi9CREJWQmSCbkJ0AnbCeEJ5gnxCgQKHgo8ClkKbgp2CmwKUAolCe0Jsgl5CUgJJQkRCQ0JFwkuCU0JcgmdCcwJ/wo2CnEKsArxCzMLdQu1C/IMLQxmDJ4M1Q0NDUUNfg23De8OJg5bDo0OvQ7rDxcPQQ9qD5EPtg/ZD/oQGhA4EFcQdhCYEL0Q5BEOEToRZRGPEbcR2xH8EhoSNxJUEnISkRK0EtoTARMqE1MTfROnE9ET/hQtFF4UkhTGFPgVJRVKFWUVdBV4FXMVaRVgFV0VYxV2FZUVvxXwFiMWUhZ7FpsWsxbCFs4W2hboFvoXEhctF0kXYxd3F4UXixeJF4EXdhdpF1wXURdHFz8XNxcvFycXHxcXFxAXChcGFwMXABb9FvoW9RbwFuwW6xbtFvUXAhcVFysXQxdbF3AXgheQF5sXpBetF7YXwRfMF9cX4RfnF+kX5hfeF9MXxRe2F6gXmxeQF4YXfRdzF2cXWBdHFzMXHhcJFvQW4BbPFr8WsRalFpkWjBZ+Fm0WWhZDFigWCRXmFb8VlhVsFUEVGBTyFM4UrhSRFHgUYhROFDwUKxQbFAsT/BPtE98T0RPCE7MTpBOTE4ITcRNgE1ATQxM4EzATKhMmEyETHBMUEwoS9xLiEssStBKeEosSexJvEmYSXxJZElASRBI0Eh8SBRHpEcsRrhGSEXoRZBFRET0RKREREPQQ0xCsEIMQVxAtEAUP4g/ED6wPmg+ND4UPgQ9/D38Pgg+GD4oPkA+VD5gPmQ+WD40PfQ9lD0QPGQ7mDqkOZg4dDdMNiA1BDQAMyAyaDHgMYAxTDE8MUgxaDGMMbQx0DHgMdgxvDGEMTww5DB8MAwvnC8oLrguSC3YLWQs7CxoK+ArSCqsKggpZCjEKCgnmCcYJqQmPCXgJYwlRCT8JLQkbCQcI8QjZCL8IpAiGCGgISQgrCAwH7wfSB7YHmgeBB2gHUwc/By8HIgcZBxMHDwcLBwgHAwb7BvEG5AbTBsEGrgaaBoYGcwZgBk0GOAYiBgoF7wXTBbYFmAV6BV0FQAUkBQcE6QTKBKoEiQRqBE4ENwQlBBsEGAQaBCEEKQQwBDQEMwQtBCMEFQQEA/MD4QPQA8ADsAOeA4sDdgNfA0UDKAMKAuoCyAKkAoACWgIzAgwB5gHEAaUBjAF5AWoBYAFXAU4BQwEzAR4BBADnAMcAqACKAHEAWwBIADgAKgAbAAv/+f/l/8//uf+j/47/e/9q/1v/Tv9C/zf/LP8i/xf/C/7+/u/+3P7G/qz+j/5w/lD+Mf4U/fn94v3P/b/9sf2l/Zn9jv2E/Xv9dP1w/W79b/1y/XX9d/13/XH9Zv1V/T/9Jf0I/Ov8zvyz/Jr8hPxu/Fn8Q/wr/A/78fvP+637ivtp+0z7M/sf+xH7B/sB+vz6+vr3+vb69Pr0+vX69/r5+vv6+/r6+vb68Pro+t/61vrP+sn6xvrE+sL6wPq9+rf6r/ql+pr6j/qF+nv6c/pr+mL6WfpO+kL6N/ot+iX6Ifof+iH6JPon+in6Kvon+iT6H/ob+hn6Gvoe+iP6Kfot+i76Kvof+g759/nc+b35nvl/+WP5S/k5+Sz5J/kn+S75O/lM+V/5c/mG+Zf5pPmu+bT5uvm/+cb5zvnZ+eX58fn6+f75/Pnz+eT50fm9+a35o/mh+aj5uPnN+eT5+foH+g36CPn7+ef50Pm7+ar5ofmg+af5tvnH+dr57Pn5+gL6BfoD+f759fnr+eH51vnM+cT5vvm5+bj5uPm5+bz5v/nB+cT5xvnI+cz50vnb+ef59foF+hT6Ivou+jf6PfpC+kf6TPpU+l/6bfp8+oz6m/qn+rH6uPq++sT6yvrU+uD67/sC+xb7K/s++1D7YPtu+3n7hPuO+5j7o/uu+7r7xvvR+9v74/vo++n75/vh+9X7xfuw+5X7d/tU+y37BPrZ+q36gfpY+jL6Evn4+ej54fnl+fX6Efo4+mz6q/r1+0j7pPwE/Gb8x/0h/XH9tP3m/gj+Gf4e/hj+Df4B/fj99P32/f7+C/4a/ir+OP5F/k/+Wf5j/m/+ff6P/qP+uf7P/uT+9/8H/xf/J/85/07/Z/+E/6T/xv/nAAUAIAA3AEsAXABrAHsAiwCaAKgAsgC2ALMAqgCaAIYAcgBgAFQAUABUAGAAcgCHAJsArQC7AMUAygDOANIA2ADhAO0A/QEOASABMQFAAU4BWAFhAWgBbQFzAXkBfgGDAYgBjAGQAZIBkgGRAY8BjAGIAYQBgAF+AX4BgAGFAYwBlQGgAaoBswG7AcIBxwHLAc0BzwHSAdQB1wHbAeAB5QHqAe8B9AH5Af0CAAICAgMCBAIEAgYCCQIPAhcCIQIuAjwCSwJaAmgCdAJ/AooClAKeAqoCtQLCAs8C2gLkAuwC8QLzAvIC8ALsAuYC3wLXAs0CwQKzAqMCkgKBAnECYQJUAkgCPgI2Ai0CJQIdAhYCEAINAgwCDwIVAh0CJwIyAjwCRQJLAlECVQJYAl0CYgJnAmwCcAJxAm4CZwJcAk4CPQIsAhsCCwH9AfAB5AHXAckBuQGmAZMBfgFpAVUBQgExASABEQECAPMA5QDVAMcAuACqAJ4AkwCJAIAAeQByAGwAZwBjAF8AWwBXAFMATwBMAEgARgBFAEYASQBMAFEAVQBYAFoAWgBYAFYAVQBVAFcAWwBiAGoAcgB6AH8AggCDAIMAhACHAI4AmgCrAMAA2gD1AREBLAFGAV4BdQGKAZ8BsgHDAdIB3gHlAecB5gHgAdgBzgHFAb0BuAG2AbUBtgG5AbsBvgHBAcYBzAHVAeEB8AIBAhMCJAIzAj4CRAJGAkMCPAI0AiwCJgIkAigCMQJAAlUCbAKFAp4CtALHAtUC3wLmAuwC8gL7AwYDFQMlAzcDRwNTA1sDXANYA08DQwM3AywDJQMhAyEDIwMlAyUDIQMYAwkC9QLcAr8CoAJ+AlsCOQIWAfQB0wGzAZUBeAFcAUABIwEEAOIAvACTAGYANwAI/9j/qf97/1D/J/8A/t3+vv6k/pD+g/5+/oD+h/6R/pz+pP6o/qb+nv6Q/n7+av5U/j/+Kf4T/f395f3L/bD9lP16/WH9TP08/S/9Jv0f/Rj9EP0F/Pf85/zW/MX8tvyr/KL8nvyc/Jv8mvyW/JD8hvx4/Gj8V/xF/DT8JvwZ/A78BPv6++373PvG+6r7hvtd+y76+/rI+pT6Y/o0+gr54/m/+Z35e/lY+TL5Cvje+K/4fvhM+Bv37PfB95n3dvdY9z33JPcN9vT22fa69pf2bvZA9g712fWh9Wn1MPT69MX0lfRp9EL0IfQG8/Hz4PPU88vzw/O787LzqPOd85Dzg/N282rzX/NW80/zSPND8z7zOfM08y7zKfMj8x3zF/MP8wby/PLx8uby2/LR8svyx/LG8snyzvLU8tzy4/Lq8vDy9fL58v7zBPMJ8xDzGPMh8yzzOPNG81fzbPOF86LzwvPl9Ar0L/RS9HH0jPSh9LD0ufS99L30ufSz9Kz0pvSg9Jv0mPSV9JP0kPSN9In0hvSF9If0jvSd9LT00/T69Sj1WPWJ9bf13vX99hL2HvYj9iH2HPYV9hD2DfYN9hH2GPYi9i/2PvZO9mH2dvaL9qH2uPbP9uf2//cZ9zX3Vfd495/3zPf8+DD4Zvie+Nf5EPlJ+YL5u/n0+i36Zvqh+tz7Gvta+5374/ws/Hb8wP0I/Uz9iv3D/fb+Jv5V/oX+t/7t/yX/Xf+S/7//5P/+ABEAHwAwAEkAcQCuAQABZgHbAlgC1gNOA7kEFQRiBKEE1wUHBTcFZwWYBcsF/gYwBmEGkwbIBwQHSAeWB+0ISQimCPwJRwmACagJvgnICcoJywnRCd8J9QoPCioKQApKCkcKNAoVCe0JwwmcCX0JawlmCW4JgAmaCboJ3goFCjAKXwqTCs0LCgtLC40LzQwLDEYMfAywDOENEg1EDXYNqg3eDhMOSA58Dq4O4A8QDz8PbA+ZD8QP7RAUEDgQWxB8EJwQvRDeEQERJRFLEXIRmRG+EeISBBIjEkASXRJ6EpgStxLYEvwTIhNKE3MTnhPKE/kUKRRdFJIUyRT/FTMVYBWGFaAVrxW0Fa8VpRWbFZQVkxWcFa4VyBXnFggWKBZEFlwWbxaAFpAWoha3Fs8W6RcDFxoXLBc3FzsXOBcxFykXIhcdFx0XIBclFysXMBcyFzEXLhcoFyIXHBcXFxIXDxcLFwcXAxcAFv4XABcGFxIXJBc7F1YXcReMF6QXuBfIF9QX3hfnF+8X+BgAGAcYDBgNGAoYAxf3F+kX2RfJF7oXrBegF5UXiRd9F3AXYRdQFz0XKRcVFwAW7BbZFscWtRalFpYWhxZ5FmkWVhZAFiYWCBXlFcAVmBVwFUoVJxUHFOoU0BS5FKEUihRyFFkUQBQnFBAT/BPrE90T0RPHE74TtBOpE5wTjRN+E28TYRNUE0oTQBM4Ey8TJRMZEwMS8xLjEtQSxhK4Eq0SpBKcEpQSjRKDEncSZxJSEjkSHBH9Ed0RvhGhEYcRbhFWET0RIhEEEOAQuBCNEGAQNRAOD+0P0w/BD7cPsw+0D7gPvQ/CD8gPzQ/SD9YP2g/cD9oP1Q/ID7EPkA9iDygO4Q6PDjYN2A16DSAMzQyFDEsMHwwDC/UL9Av+DBAMJwxADFgMbQx6DIAMfAxvDFgMOwwZC/UL0QuwC5QLewtmC1MLPwsoCwwK6grCCpUKZQozCgMJ1QmsCYgJaAlOCTYJIQkNCPoI5wjUCMAIqwiWCH8IaAhOCDQIFwf6B9sHvQeeB4EHZgdOBzoHKgcfBxgHFQcVBxcHGgccBx0HGwcXBw4HAgb0BuQG0wbBBq8GngaMBnoGZwZRBjoGIQYHBesFzgWxBZQFdwVZBToFGgT3BNMErgSKBGkETAQ2BCYEHgQcBB4EIwQoBCwELQQqBCUEHQQTBAkD/gPzA+gD2wPNA7wDqQOSA3kDXgNAAyEDAALdArcCkAJmAjwCEgHrAccBqAGPAX0BcAFmAVwBUQFCAS4BFQD2ANYAtACUAHYAXQBHADYAJgAXAAn/+f/o/9b/w/+x/57/jf98/2z/Xf9O/0D/M/8m/xv/EP8G/vv+7v7f/sv+tP6Z/nz+XP48/hz9//3l/c39t/2j/ZD9gP1x/Wb9Xv1a/Vz9Y/1u/Xr9h/2Q/ZX9k/2J/Xf9Xf0+/Rz8+PzV/LP8lPx4/Fz8Qfwk/AX74/u9+5b7bvtH+yX7CPry+uL62PrT+tH60frR+tD60PrP+s76zvrN+s36zPrJ+sT6vvq2+q76pvqg+p36m/qb+pz6m/qY+pL6ifp++nH6Zfpa+lD6SPpB+jr6M/or+iL6GvoS+gz6CfoI+gr6DfoR+hP6FfoU+hP6EfoP+g/6D/oQ+hH6D/oL+gL59fnj+c35tfmb+YL5aflS+T35K/kd+RL5DPkK+Q35Fvkj+TP5RflY+Wv5e/mJ+ZT5nvmm+a75tvm++cf5zvnT+dT50vnK+cD5s/ml+Zr5lPmT+Zj5pPmz+cX51fnh+ej55/nh+db5yPm6+bD5qvmq+a/5ufnG+dT54Pnr+fH59Pnz+e755vnb+dD5xPm5+a/5qfml+aT5pvmq+a75sfmy+bH5rfmp+aX5o/mm+a35ufnK+dz57/oA+g/6Gfog+iX6KPos+jL6OvpD+k/6W/po+nT6f/qK+pX6ofqw+sD61Prp+wD7F/su+0X7Wfts+3z7i/uY+6T7rvu2+777xPvK+8770vvU+9X71PvP+8j7vPus+5b7e/ta+zT7Cvrc+qz6fPpO+iX6Avno+dn51vng+fb6GfpJ+oT6yvsb+3P70vw0/Jb89P1L/ZX90P37/hX+If4h/hj+Df4C/fr9+P38/gX+Ev4h/jD+Pf5J/lT+X/5r/nn+if6b/q7+wv7U/uX+9f8D/xP/Jf88/1j/ev+g/8j/8AAUADMATABfAGwAdgCAAIoAlwClALMAvgDDAMAAtQChAIcAawBQADsALwAuADgASwBjAH8AmgCxAMUA1ADgAOkA8gD8AQcBFAEiATABPgFMAVkBZQFwAXsBhAGOAZYBnQGiAaYBqQGrAa0BrgGvAbABsQGxAbIBsQGxAbEBsgG1AbkBvgHFAcsB0gHZAd4B4gHlAegB6gHtAfAB9AH5Af4CBAIJAg8CFAIYAhwCHwIhAiMCIwIkAiUCJgIpAi4CNQI/AkoCVwJlAnMCgQKPApwCqQK1AsACywLWAt8C6ALwAvYC/AMBAwQDCAMKAwsDCwMIAwEC9wLqAtkCxQKvApkChAJxAmACUQJFAjoCMgIrAicCJQImAioCMQI7AkYCUgJeAmcCbQJwAnECcAJuAm0CbQJuAnECcwJ1AnQCcQJqAmACVAJGAjgCKgIcAg4CAQHyAeIB0AG+AaoBlgGCAXABXgFNAT0BLgEeAQ4A/gDuAN4AzgC/ALEApACYAI4AhQB8AHUAcABrAGcAZABhAF0AWQBUAE4ASQBEAEAAPgA9AD4APwBBAEMARABDAEMAQwBEAEgATgBXAGEAbAB3AIAAhgCKAIwAjgCRAJYAoACuAMAA1QDtAQUBHQE0AUkBXAFvAYABjwGdAaoBswG5AbsBugG1Aa4BpwGgAZwBmgGcAaIBqgG2AcUB1QHoAf0CFAItAkgCYwJ/ApgCrgK+AskCzQLLAsMCuAKsAqACmAKVApkCpAK2As0C6QMGAyMDPQNTA2UDcQN4A3wDfgN/A4EDhAOGA4kDigOIA4MDegNtA14DTwNBAzUDLQMnAyQDIwMgAxwDFQMKAvwC6QLUAr0CowKIAmwCTQIuAg8B7wHRAbQBmgGCAWsBVgFAASkBEADzANQAsQCMAGYAPgAU/+n/vf+R/2X/O/8W/vj+4v7W/tL+1/7g/uv+9P75/vj+8P7h/s7+t/6f/of+bv5W/jz+Iv4G/en9zf2y/Zr9h/13/Wz9ZP1d/VX9Sv08/Sv9Fv0A/On81PzC/LP8qPyg/Jr8lPyM/IP8dvxn/FX8Qfwt/Br8CPv5++z74PvU+8b7tPuc+3z7Vfsn+vL6uvqC+kv6Gfnt+cn5qvmQ+Xj5YPlF+SX4/vjQ+Jv4YPgi9+P3pPdp9zT3BPbb9rf2l/Z69l32P/Ye9fr10vWn9Xr1TPUf9PL0yPSg9Hv0WPQ49Bz0A/Pt89vzzPPA87XzrPOi85fzivN782vzW/NM8z/zM/Mq8yLzG/MT8wry//Ly8uTy1fLH8rnyrPKh8pfyjvKF8n3ydvJw8m3ybPJu8nLyefKC8ovylfKd8qXyq/Ky8rnywPLH8tDy2vLk8vDy/PML8xzzMPNJ82bziPOt89Pz+vQf9D/0WvRw9H/0iPSM9Iz0ivSG9ID0evRz9Gv0YvRY9Ez0QfQ29C30KPQp9DD0QPRY9Hr0o/TR9QT1N/Vn9ZL1tvXR9eL17PXu9ev15fXe9dj11PXS9dP11/Xd9ef18/YD9hb2K/ZD9lz2dvaP9qn2wvbb9vb3E/cz91f3gPet9974EfhG+Hz4svjo+R75VPmK+cH5+Pow+mr6pPrh+yH7ZPuq+/P8PvyL/Nb9H/1l/aj96P4l/mP+of7g/yH/YP+d/9MAAgAnAEQAWgBvAIcApwDVARMBYQG9AiMCjQL2A1kDswQDBEoEigTEBPwFMwVpBZ4F0wYFBjYGaAacBtUHFgdhB7QIDQhoCMAJDglPCX8JoAmzCb0JxAnLCdYJ5gn5CgsKGgoiCiAKFQoCCesJ1QnECbsJvAnFCdUJ6woDChwKNwpVCngKoQrSCwwLTQuTC9oMIAxiDJ8M1g0HDTUNYQ2NDboN6Q4aDksOfg6wDuMPFQ9GD3cPpw/WEAMQLxBXEH4QohDEEOYRBxEoEUsRbRGQEbMR1BH0EhMSMBJLEmYSghKeErwS3BL/EyUTTBN3E6MT0hQDFDYUbBSkFN4VFxVNFX8VqRXJFd4V5xXmFd0VzxXBFbcVsxW3FcMV1hXtFgYWHhY0FkcWWRZqFn0WkxarFsUW3hb1FwYXEBcTFxAXCRcCFv0W/BcCFw0XGxcqFzYXPhdAFzsXMhclFxgXDhcHFwQXBhcLFxIXHBcmFzIXQBdQF2MXeBeOF6UXvBfQF+IX8Rf+GAgYEhgaGCIYKRgvGDEYMRgsGCMYGBgKF/sX7BfeF9AXwxe2F6gXmReJF3kXaBdXF0cXNxcoFxgXBxb0FuAWyhazFpwWhRZwFloWRRYuFhYV+hXdFb0VnBV7FV0VQRUoFREU+hTjFMoUrRSNFGwUShQpFA0T9RPkE9oT1BPRE9ATzhPJE8ITthOoE5cThhNzE2ITURNBEzETIhMTEwMS+BLvEugS4hLdEtcS0BLIEr4SsRKiEpASexJjEkgSKhILEeoRyRGnEYYRZRFDESAQ/BDVEK0QhRBeEDsQHhAID/oP9A/1D/oQARAJEBAQFBAWEBUQExAREA0QCBABD/YP4w/HD54PZw8iDs8OcQ4KDZ8NNQzSDHoMMAv3C88LuAuxC7cLxwveC/kMFgwxDEkMXAxoDGsMZQxVDDsMGgv0C8sLpAuAC2ELSAs0CyILEAr7CuAKvwqXCmkKOAoGCdYJqQmBCV0JPQkhCQYI7AjSCLgInQiDCGgITwg2CB4IBwfwB9kHwgeqB5IHewdkB08HPAcsBx8HFQcPBwwHDQcPBxMHGAcbBx4HHgcbBxUHDQcDBvcG6QbbBssGuwapBpYGgQZrBlIGOQYfBgUF6wXSBboFowWKBXEFVQU3BRUE8gTOBKoEiQRsBFUEQwQ2BC4EKgQnBCQEIQQcBBUEDQQDA/oD8APmA90D0wPIA7wDrgOeA4wDeANiA0oDLwMSAvICzwKqAoMCWwIzAg4B7AHPAbYBoQGQAYABbwFdAUcBLQEPAO8AzgCtAI0AcQBYAEMAMAAfAA7////v/+D/0P/B/7H/of+R/4D/bv9c/0n/N/8n/xn/DP8C/vj+7v7j/tX+w/6u/pX+ev5d/kH+Jv4N/fX93v3I/bL9nf2K/Xn9bP1k/WT9av12/Yf9mv2s/bv9xP3E/br9p/2L/Wj9P/0U/Of8vPyU/G38Sfwm/AL73fu2+437ZPs8+xf69vrc+sj6vPq0+rH6sPqw+q/6rfqq+qb6o/qf+pz6mfqW+pL6jvqJ+oP6f/p8+nv6evp7+nr6efp0+mz6YvpV+kj6PPow+if6IPoZ+hT6DvoH+gH5+/n1+fH57/nu+e/57/nw+e/57vnt+e357vnx+fX5+fn8+fz59/nt+d35yfmy+Zv5hPlw+V75UPlE+Tj5Lvkj+Rj5D/kH+QP5A/kI+RH5H/kv+UH5U/ll+XX5g/mQ+Zr5ofmn+ar5qvmo+aT5n/mY+ZH5ivmF+YH5gPmC+Yb5jPmU+Zv5oPmk+aX5o/me+Zf5jvmH+YH5ffl9+YH5h/mQ+Zr5pfmv+bf5vfnB+cH5vfm3+a75pPmZ+Y/5h/mC+YH5hPmJ+Y/5lPmX+Zj5lPmP+Yn5hPmD+Yb5j/md+a/5w/nY+er5+voG+hD6Fvoc+iL6KPov+jf6QPpK+lX6Yfpu+n36jvqh+rX6y/ri+vr7Efsn+z37Uvtl+3f7h/uV+6D7qvux+7X7uPu6+7v7u/u7+7v7uvu3+7L7qfuc+4v7dftZ+zj7Efrn+rn6i/pe+jT6Efn3+ej55fnv+gj6Lvph+qH66/tA+5v7/Pxe/L79GP1n/aj92v37/g3+Ev4N/gT9+v3y/e/98f35/gX+E/4h/jD+Pf5J/lT+YP5t/nz+i/6b/qv+uv7H/tL+3f7o/vf/DP8n/0n/c/+i/9QABAAvAFMAbQB9AIQAhQCDAIEAgQCFAIsAkwCZAJoAlgCJAHYAXwBGADAAHwAXABkAIwA1AE0AZwCDAJ0AtQDLAN8A8gEEARUBJQEzAUABTQFZAWUBcgGAAY8BngGtAboBxQHNAdEB0wHTAdMB0wHTAdUB2AHaAd0B4AHhAeIB4gHiAeQB5gHpAewB8AH0AfcB+gH8Af4CAAIDAgcCCwIQAhYCHAIiAigCLgIzAjgCPQJCAkYCSgJNAk8CUQJTAlUCVwJbAmECaQJzAn8CjAKaAqgCtgLDAs4C2ALgAucC7QLyAvcC/gMFAwwDFQMdAyQDKQMrAygDIQMVAwQC8ALYAr8CpgKNAncCZAJTAkYCPQI3AjQCNgI6AkICTAJZAmYCcgJ9AoUCiQKJAoYCgQJ6AnQCbwJtAm0CbwJyAnUCdwJ2AnICagJhAlQCRgI2AiYCFAICAe8B3AHJAbcBpQGUAYUBdgFnAVkBSgE6ASoBGgEJAPgA6ADZAMsAvQCwAKMAlwCMAIIAegB0AG8AbABqAGcAZABfAFoAUwBMAEUAPwA8ADoAOgA6ADsAPAA8ADsAOgA5ADoAPABBAEkAUgBbAGQAbAByAHgAfQCCAIkAkwChALIAxwDdAPQBCwEhATUBSAFZAWgBdgGDAY0BlwGdAaEBogGfAZsBlQGPAYoBhwGIAY0BlwGnAbwB1gH1AhcCPAJiAocCqgLKAuQC+AMFAwsDCgMEAvoC7gLhAtcC0QLPAtMC3gLuAwMDGwM2A1ADagOAA5MDogOsA7IDtAOzA7ADqgOjA5sDkAOFA3gDagNdA1ADRAM7AzMDLgMpAyQDHwMYAw8DAwL2AucC1wLGArUCowKQAnsCZAJMAjICGAH+AeYB0AG7AagBlQGBAWwBVQE7ASABBADmAMgAqACGAGEAOAAL/9v/q/9+/1b/N/8j/xn/Gf8g/yr/M/84/zf/Lv8f/wr+8v7Y/r7+pP6K/nD+Vv47/iD+Bf3t/df9xf22/av9of2W/Yr9e/1o/VH9N/0d/QL86fzT/MD8sPyj/Jf8jPyC/HX8Z/xX/ET8L/wZ/AL76/vU+7/7qvuV+3/7ZftH+yL69/rG+o/6Vfob+eP5svmH+WX5S/k2+SX5FPkA+Ob4xPiZ+GX4Kffn96L3XPca9tz2pvZ29k72K/YM9e/10fWx9Y71afVB9Rn08vTN9Kv0i/Rv9FX0PPQk9A7z+PPk89Pzw/O286rzn/OS84TzdPNi807zOvMn8xfzCfL/8vby7vLk8tjyyPK18qDyivJ18mHyUfJE8jvyNPIw8izyKfIn8ifyKPIs8jLyOvJE8k/yWvJk8m3ydfJ88oPyi/KU8p7yqPK08sHyz/Lf8vHzBvMg8z7zYPOG863z1PP59Br0NPRI9Fb0X/Rj9GT0ZPRi9GD0XPRW9E30QPQw9B70CvP48+nz4fPh8+z0AfQh9En0efSs9OH1E/VC9Wr1i/Wk9bT1vvXC9cH1vvW59bT1r/Ws9az1rvWz9b31y/Xd9fP2DfYp9kb2Y/Z+9pf2rfbC9tf27fcG9yP3Rfds95b3xPf0+CX4V/iI+Lr47fkh+VX5i/nB+fj6MPpo+qL63vse+2L7qvv4/En8nPzx/Ub9mf3q/jn+hv7S/xz/Y/+o/+cAIgBVAIEApgDIAOcBBwErAVcBiwHHAgwCVwKmAvUDRAOQA9kEIARkBKgE6gUqBWkFpQXdBhMGRgZ5Bq4G6AcoB3AHvwgSCGYItgj+CTsJbAmQCaoJvQnLCdYJ4QnqCfEJ9Qn0Ce0J5AnZCdEJzgnUCeIJ+AoUCjMKUQpsCoQKmwqyCs0K8AsdC1QLlQvcDCcMcAy1DPUNLQ1fDY0NuQ3lDhEOPw5vDqAO0Q8DDzUPZg+YD8oP+xArEFkQhRCuENQQ+BEaETsRXBF9EZ0RvhHeEfwSFxIxEkgSXRJxEoYSnBK1EtIS8xMYE0ITcBOhE9QUCxRDFH0UuRT1FTAVaRWdFckV7BYDFg0WDBYAFe4V2RXHFbsVtxW+Fc4V5hYCFh8WPBZVFmsWfhaRFqMWtxbLFuAW8xcCFwwXEBcOFwkXAxb/FwEXCBcWFycXOhdKF1UXWBdSF0UXMxcgFw8XBBcAFwQXDxcgFzUXTRdlF34XlResF8EX1hfpF/oYCRgWGCEYKxg0GD4YRxhQGFcYXBheGFsYVBhJGDsYLBgeGBEYBRf7F/EX5RfXF8UXsReaF4IXbBdYF0gXOxcwFyYXGRcJFvQW3BbAFqIWhRZpFk8WNxYgFgkV8hXaFcEVqBWOFXYVXxVJFTMVHBUBFOMUwBSZFHAUSRQkFAYT7xPhE9oT2RPbE98T4RPgE9oT0RPDE7ETnhOIE3ITXBNHEzMTIRMREwwTAhL8EvgS9hLzEu4S5hLbEswSuRKkEo0SdBJaEj4SIRIBEeARvBGWEW4RRBEYEOsQvxCUEGwQSxAwEB4QFhAWEB4QKxA5EEcQUhBWEFUQThBDEDYQJxAYEAoP+g/oD88Prg+CD0gPAA6qDkkN4Q11DQsMqAxRDAoL1QuzC6MLoguuC8EL2QvyDAoMHwwwDD0MRgxKDEgMQAwxDBsL/gvcC7cLkQttC0sLLQsRCvgK3grCCqMKfgpWCisJ/gnTCakJgwlgCUAJIgkDCOQIxAiiCH8IXAg5CBYH9gfYB7wHogeKB3UHYgdRB0MHNwcsByMHGwcVBw4HCQcEBwAG/Qb8BvwG/Qb+BwEHAwcEBwQHAwcBBv0G9gbuBuMG1QbEBq8GlwZ8Bl4GPwYgBgIF5wXPBboFqAWXBYcFdQVgBUgFLAUNBOwEywStBJEEeQRnBFkETwRHBEAEOAQvBCQEFgQGA/QD4gPQA74DrwOgA5QDigOAA3YDbANgA1MDQwMvAxkDAALjAsMCogJ/AlsCOAIWAfUB1gG6AaABhwFvAVcBPgEkAQgA6wDOALEAlAB5AF8ARwAxAB0ACv/5/+n/2f/K/7v/q/+b/4r/d/9j/0//Ov8o/xf/Cf79/vL+5/7b/s3+vP6o/pH+ef5h/kn+M/4f/gz9+f3n/dP9wP2s/Zr9jP2D/YD9hf2Q/aH9tv3L/d797P3y/e/94P3H/aT9ef1H/RP83vyr/Hr8Tvwl+/772Puy+4z7Y/s7+xT67/rQ+rb6pPqX+pD6jPqK+oj6hvqC+n76efp1+nL6b/pt+mz6bPpr+mr6avpp+mn6afpn+mT6X/pX+k36Qfo0+ij6HfoT+gv6BPn++fj58fnq+eP53vna+dj51/nY+df51vnS+c35yPnE+cL5xfnL+dT53vnl+ej55PnY+cX5rvmV+X35afla+VD5SvlF+UD5OPku+SD5EPkB+PT46/jm+Oj47vj5+Qf5GPkq+T35Tvld+Wr5cvl1+XP5bflj+Vj5TflD+T75PPk++UT5TPlV+V35Y/ln+Wf5Zflh+Vv5U/lL+UP5PPk2+TL5MPkx+TT5OvlB+Uv5Vvlh+Wz5dvl9+YL5hPmC+X35dflr+WD5V/lQ+Uz5TPlQ+VX5XPli+Wb5Z/ln+WX5ZPlj+Wb5bfl3+YX5lvmn+bn5y/nb+er59/oD+g/6Gfoj+iz6NvpA+kv6WPpo+nn6jvqj+rr60fro+v37Efsj+zT7RPtT+2H7bvt5+4P7ivuQ+5T7l/uZ+5v7nfue+6D7oPuf+5z7lfuL+337a/tV+zn7Gvr2+s/6pvp8+lX6M/oZ+gn6BPoN+iT6Sfp8+rz7B/td+7r8G/x9/Nr9L/14/bH92/30/f/+AP36/fL96v3n/ej97/35/gX+E/4g/iz+N/5C/k3+Wf5m/nT+gv6Q/p3+qP6x/rn+wf7K/tf+6v8F/yj/VP+H/77/9gArAFkAfACTAJ4AngCWAIoAfgB0AHAAcQB2AH0AhACIAIcAgQB3AGoAXQBRAEkARgBIAE4AWABmAHcAigCfALYAzwDoAQEBGQEvAUIBUwFjAXIBgQGRAaMBtQHHAdgB5gHwAfYB+QH6AfkB+AH4AfkB/AH/AgICBAIGAgYCBgIGAgYCCAIKAg0CEAITAhUCFwIZAhoCHAIfAiMCKAIuAjQCOwJBAkcCTAJSAlcCXQJkAmsCcgJ4An4CgQKEAoUChQKEAoUChwKMApMCngKqArkCxwLUAuAC6gLxAvcC/AMCAwcDDgMXAyADKgMzAzoDPwNBAz8DOQMvAyADDwL6AuQCzQK2AqACiwJ5AmoCXwJXAlMCUwJVAlsCYwJtAncCgQKJAo8CkgKRAo4CiAKBAnoCdQJyAnICdQJ7AoEChgKJAooChgJ+AnECYQJPAjoCJAIOAfkB5AHRAb8BsAGhAZMBhgF5AWsBXAFMATwBLAEcAQ0A/gDwAOMA1QDIALoArACeAJEAhgB9AHgAdQB0AHMAcwByAG8AagBjAFwAVQBPAEoASABHAEcARwBHAEUAQwBAAD0APAA7AD0AQABFAEwAUwBaAGMAawB1AIEAjwChALUAywDjAPwBFQEsAUEBVAFlAXQBgQGNAZgBoQGoAa4BsgGzAbIBrgGoAaIBnQGaAZsBogGwAcUB4QIEAisCVAJ+AqUCyALkAvoDCAMPAxADDQMHAv8C9wLxAuwC6wLtAvIC+wMHAxYDJgM4A0sDXQNvA4ADjgOaA6IDpwOnA6QDnQOTA4YDeANpA1sDTQNDAzoDNAMwAywDKQMkAx0DEwMHAvkC6gLbAswCvwKzAqcCnAKQAoMCcwJiAlACPgIsAhsCCwH7AeoB1gHAAaYBigFsAU8BMwEZAQIA7ADVALoAmgBzAEYAFf/k/7b/kP90/2P/Xf9f/2T/af9q/2X/WP9F/y3/E/74/t3+w/6q/pL+e/5j/kv+NP4e/gv9+/3t/eD90v3E/bL9nf2E/Wn9S/0t/Q/88vzY/L/8qfyV/IP8c/xj/FT8Rfw2/CT8EPv5+9/7wvuj+4P7YvtA+x76/PrX+rD6hfpW+iT58Pm8+Yr5XPk0+RP4+Pjk+NP4xPiz+J74g/hg+DT4APfF94b3RfcF9sj2kfZh9jj2FfX29dr1vvWg9YD1XvU69RX08fTP9K/0kfR29Fv0QfQn9A3z9PPc88fztvOn85vzj/OD83XzY/NP8zfzH/MI8vPy4vLU8snyv/K08qbylPJ+8mbyTPI08h/yD/ID8fzx+fH48ffx9/H28fbx9/H68gDyCPIS8h3yKPIy8jvyQvJI8k7yVfJd8mfyc/KB8pHyovK18sry4fL88xrzPPNi84nzsPPV8/b0EfQn9DX0P/RF9Ej0SvRL9Ev0SvRF9D30L/Qd9Afz7/PZ88fzvfO888fz3PP89CP0UPR/9K702vUC9SX1Q/Vb9W/1fvWJ9ZD1lPWW9ZX1lPWS9ZL1k/WZ9aP1svXG9d/1/PYa9jn2VvZv9oX2l/am9rX2xPbX9u/3DPcv91b3gPes99j4BPgw+Fv4h/i0+OT5FvlK+X/5tfns+iP6W/qW+tX7Gftj+7P8Cfxk/MP9Iv2B/d/+Of6Q/uT/Nf+F/9MAHwBoAK8A8AErAWABjAGzAdQB8QIMAikCSgJvApoCywMDA0EDhQPNBBkEZwS3BQcFVQWfBeMGIwZdBpMGyAb+BzgHdwe7CAQITwiZCN0JGwlOCXgJlwmuCb4JyAnOCc8JzAnGCb4JtwmzCbcJxQneCgEKLgpgCpIKwAroCwkLIgs5C1ALbQuTC8IL+ww8DIEMxw0KDUgNgQ22DecOFg5FDnUOpg7XDwcPOA9oD5gPyA/4ECoQWxCMELwQ6RETEToRXRF9EZwRuRHWEfISDRInEj4SUhJjEnESfRKIEpYSphK8EtcS+hMkE1QTihPEFAIUQRSBFMIVAhU/FXoVsBXgFgYWIhYxFjQWKhYYFf8V5hXRFcMVwBXJFd4V+xYdFkAWYhaAFpgWrRa+Fs0W3BbqFvgXBBcNFxMXFRcVFxQXFBcYFyEXLhc/F1EXYRdsF3AXaxdgF08XPRcuFyUXIxcqFzoXUBdrF4gXpRfAF9kX8BgEGBUYJRgzGD8YSRhSGFsYZBhtGHcYgBiJGI4YkBiNGIUYeBhpGFcYRxg6GDAYKRgiGBsYERgBF+sX0BexF5EXcxdZF0UXNRcpFx8XExcEFvEW2Ra9FqAWghZmFkwWNRYgFgwV+BXkFdAVuxWlFZAVexVlFU0VMxUUFPAUyBSeFHMUSxQnFAsT9hPqE+QT4xPkE+QT4xPfE9gTzRPAE7EToBONE3kTZRNQEzsTKRMYExITBhL+EvoS+BL1EvES6BLbEsgSsRKWEnkSWhI6EhoR+RHYEbURkBFoET4REhDlELgQjRBnEEcQMBAjECAQJxA2EEoQXhBvEHoQfBB1EGYQUBA3EBwQAw/rD9MPuw+eD3oPTQ8UDs4OfQ4iDcENXgz8DKAMTwwMC9kLuAuoC6gLtAvJC+IL+wwRDCIMLQwzDDUMMgwtDCYMHAwPC/0L5wvNC68LjQtqC0YLIgr+CtoKtAqNCmQKOgoPCeUJvAmXCXUJVgk4CRsI/QjdCLoIlQhvCEgIIQf7B9gHtgeVB3cHWwdCBywHGwcOBwYHAgcBBwIHAgcBBv4G+QbxBugG3wbXBtEGzwbPBtIG2AbfBucG7gb1BvsG/gb+BvoG8QbjBs8GtAaUBnAGSQYhBfwF2wW/BakFmQWNBYQFegVvBV8FTAUzBRgE+gTeBMQErgScBI8EhgSABHoEcgRnBFgERAQrBA4D7gPOA68DkgN6A2cDWQNQA0kDRQNCAz0DNgMtAyEDEQL+AucCzQKvAo0CaAJBAhkB8AHJAaUBhAFoAU4BNwEhAQwA9gDfAMcArQCSAHcAXABCACoAFP///+z/2v/J/7j/qP+X/4X/cv9f/0z/Of8n/xb/CP76/u7+4P7R/sD+q/6T/nr+X/5F/i3+F/4E/fT95f3X/cn9vf2x/aj9o/2i/ab9r/29/c794P3w/f3+BP4E/fv96P3M/af9ev1G/Q/81vyf/Gv8O/wQ++n7xfuh+337WPsx+wn64/q/+qH6ifp4+m36Zvpj+mH6YPpe+lv6WPpU+lL6UPpQ+lH6UvpU+lb6WPpZ+ln6V/pT+k36RPo4+iz6HvoS+gf5//n4+fP57vno+eH52fnQ+cn5w/nA+b/5wfnD+cP5wPm5+a/5pPma+ZT5k/mZ+aT5sfm9+cT5wvm5+af5kPl4+WL5UPlE+T35Ofk2+TD5JvkX+QX48fjd+Mz4wPi5+Lf4uvjB+Mv41vjk+PL5AfkQ+Rz5JPkm+SP5GfkM+Pz47fjh+Nv43Pjj+PD5APkQ+R75Kfkt+S35J/kd+RH5A/j2+Or43/jY+NT41PjY+N/46vj2+QT5E/kh+S75OPlA+UX5SPlH+UP5PPk0+Sv5Ivka+RX5EvkR+RT5Gfkf+SX5K/kx+Tb5O/lB+Uf5TflW+V/5avl3+YX5lfmm+bj5y/nf+fP6BfoX+ib6NfpC+lD6X/pw+oL6l/qs+sH61vro+vn7B/sU+x/7Kvs1+z/7SftS+1n7X/tl+2n7bvty+3j7fvuE+4r7jvuQ+477ifuA+3P7Y/tQ+zn7Hvr/+t36uvqV+nP6Vfo++jD6Lfo4+lD6dvqq+uv7OPuN++r8Svyp/QL9Uf2U/cb96P37/gL+AP35/fL97f3s/e/99v4A/gr+FP4d/ib+Lv44/kP+T/5e/m3+ff6M/pr+pv6w/rn+wv7L/tb+5f75/xX/OP9l/5j/0QANAEYAeAChALsAyADHALwArACaAIwAhACFAIwAmgCsAL0AzADYAN4A4ADeANgAzwDFALkArACgAJYAkQCQAJUAogC1AM4A6gEHASQBQAFZAXEBhwGbAbABxAHXAekB+AIDAgsCEAISAhQCFAIVAhcCGQIbAh4CHwIgAiACHwIfAiACIgIlAikCLQIwAjMCNgI4AjoCPAJAAkUCSwJTAloCYgJpAm4CcwJ3AnsCgAKFAowCkwKbAqICqAKtAq8CrwKtAqwCqwKsArECuALDAs8C3QLqAvYDAAMHAw4DEwMZAyADKAMxAzoDQgNIA0wDTANKA0UDPgM1AysDHwMTAwQC9QLkAtICwQKxAqIClQKLAoQCfwJ8AnsCfAJ9AoACgwKFAocCiAKIAoUCggJ+AnoCdwJ2AnkCfgKEAowCkwKXApcCkwKKAnwCagJVAj4CJwIRAfwB6QHXAccBuQGrAZ4BkQGDAXQBZQFWAUYBNgEnARkBDAD/APIA5QDXAMkAugCrAJ4AkgCKAIUAhACGAIkAjQCRAJIAkQCMAIYAfgB2AG4AaABkAGIAYQBhAGEAYQBfAF4AXABaAFkAWQBbAF4AYwBpAHEAfACIAJcAqQC9ANMA6wEEAR0BNQFMAWEBdAGEAZMBoAGrAbUBvwHHAc8B1QHZAdsB2wHYAdQBzwHMAcsB0AHbAe0CBgIlAkkCbgKTArUC0gLpAvoDBQMLAw0DDgMNAw0DDQMOAxADEwMXAxwDIwMqAzIDOwNEA08DWQNlA3ADewOFA40DkwOVA5MDjAOCA3QDZQNUA0UDOAMuAyYDIQMdAxkDFAMMAwIC9QLmAtYCxwK6Aq8CpwKhAp0CmAKTAowChAJ6Am8CZAJaAlECRgI6AioCFAH5AdkBtQGRAW8BUwE9AS4BIgEXAQgA8wDUAKsAewBHABT/5//D/6r/m/+U/5L/j/+K/37/bf9W/zz/If8F/uz+1P6+/qn+lP5+/mn+VP5B/i/+H/4R/gL98/3h/cz9s/2Y/Xn9Wv06/Rn8+vzb/Lz8n/yD/Gn8Ufw7/Cj8F/wG+/X74PvI+6v7ifti+zj7DPrg+rX6jPpl+j/6Gvn1+c/5qPmB+Vr5NfkS+PL41/jA+Kz4mviK+Hj4Y/hK+Cr4A/fW96L3a/cz9vz2yPaZ9m/2TPYt9hH19vXa9bz1nPV69Vb1MvUN9On0xvSj9H/0WvQ29BHz7/PP87XzoPOQ84Xze/Ny82bzVvNB8ynzDvLy8tnyxPKy8qPyl/KJ8nryaPJS8jryIfIK8fbx6PHf8drx2fHZ8dnx2fHX8dXx1PHU8dfx3fHl8e/x+fIB8gnyDvIS8hbyG/Ij8i3yPPJN8mHydvKN8qXyvfLX8vTzEvMz81bzevOd877z2/P09Af0FfQf9Cb0K/Qv9DH0MfQt9Cb0GfQI8/Pz3PPH87Xzq/Oq87LzxPPf8//0I/RH9Gv0jPSs9Mn05PT+9Rf1L/VE9Vb1ZfVv9XX1ePV59Xn1evV+9Yb1k/Wm9b311/Xz9g72J/Y89kz2WfZk9m/2fPaO9qf2xfbr9xT3Qfdt95j3v/fl+Af4KvhO+HX4oPjQ+QT5Ovlz+a356Poj+mD6ofrm+zH7gvva/Df8l/z6/Vz9vP4a/nX+z/8p/4X/5ABGAKoBDQFsAcICCgJCAmgCfgKFAoMCfAJ2AncCggKZAr0C7wMuA3gDzAQmBIYE5wVHBaIF9QY+Bn4GtAblBxMHQwd2B7AH7wgyCHUItgjwCSIJSwlqCYIJlAmgCagJrAmuCa8JsQm2CcMJ2Qn7CikKYQqfCt4LGgtOC3kLmgu0C8wL5QwEDCsMWwySDM4NDQ1LDYcNwQ35Di8OZQ6bDtEPBg86D2wPmw/ID/UQIRBOEH0QrRDfEQ8RPhFpEZERtBHTEe4SBxIfEjQSSBJbEmoSdhKAEogSjhKVEp4SrBLBEt4TBBMzE2kTpxPqFDAUdxS9FQEVQRV9FbQV5BYNFi4WRBZQFlEWSBY3FiEWChX2FekV5hXuFf8WGBY2FlUWcxaMFqIWsxbBFs0W2RbkFu8W+hcEFwwXFBcaFyEXKhc1F0MXUhdhF24Xdhd4F3QXahdeF1IXShdIF1AXYBd4F5YXthfXF/UYDxgkGDUYRBhPGFoYZBhtGHcYgBiIGJEYmRiiGKsYsxi6GL0YvBi2GKsYnRiMGHsYbBhgGFkYVBhQGEoYQBgxGBoX/RfbF7cXkxdyF1UXPRcpFxYXBBbxFtwWxRasFpQWfBZmFlIWQBYtFhsWCBX0FeAVyxW3FaIVjRV3FV4VQhUgFPoU0RSnFH4UWRQ6FCIUERQGE/4T+RPzE+sT4hPXE8sTvhOzE6gTnROQE4ITchNfE0sTNhMjExYTBRL5EvMS8RLwEu0S5hLZEsUSqhKIEmMSOhIQEeYRvRGVEW8RSRElEQIQ3xC9EJ0QgBBoEFUQShBHEE0QWRBqEHsQiRCREJAQhBBuEFEQMBAND+wPzQ+xD5UPdw9UDygO8g6xDmcOFQ3ADWkNFQzFDH0MPgwLC+QLygu+C78LyQvbC/IMCAwbDCkMMAwyDC0MJQwaDA0MAAvxC+ELzQu2C5sLfAtaCzULDgrkCrgKigpaCikJ+AnKCZ4JdwlUCTYJGQj+COIIwwiiCH4IWAgyCA0H6gfKB6sHjgdxB1UHOgchBwsG+QbtBucG5gboBuwG7wbvBusG4wbXBskGuwauBqYGogajBqkGsga+BssG2AblBvAG+gcABwQHAgb6BusG1Qa3BpIGaQY+BhUF7wXQBbkFqAWdBZUFjgWFBXgFZgVPBTQFGAT8BOQEzwTABLcEsQSsBKgEoQSXBIYEbgRQBCwEBAPZA64DhgNiA0UDLwMgAxgDFAMTAxQDFAMTAw8DCAL9Au0C2AK+Ap4CeAJNAiAB8QHDAZgBcQFRATUBHwEMAPsA6gDYAMQArwCXAH8AZgBOADUAHgAH//L/3f/K/7f/pP+S/4D/bf9a/0f/Nf8j/xP/A/71/ub+1/7F/q/+lv55/lr+OP4X/ff92v3C/a79n/2U/Y79jf2R/Zr9qP25/c394v32/gb+Ef4V/hH+Bf3y/dj9uP2T/Wn9O/0J/NX8oPxt/Dv8Dfvk+7/7nft9+137O/sY+vL6zfqq+or6b/pb+k36RfpA+j76Pfo8+jv6Ofo2+jT6Mvox+jH6Mfoy+jP6NPo1+jX6NPov+ij6HvoQ+gL58/nm+dv51PnQ+c35y/nH+cH5ufmw+af5ofmf+Z/5o/mm+af5o/ma+Yv5efln+Vr5U/lV+V35a/l4+YL5hPl++W/5XPlF+TH5IPkU+Qz5Bvj++PP45PjR+Lz4qPiX+Iv4hviF+In4j/iW+Jv4oPil+Kr4sPi3+L/4xfjI+Mb4v/i0+KX4l/iM+Ib4h/iP+J34rvjB+NL43vjk+OX43/jT+MT4s/ih+JD4g/h5+HX4d/iA+I74ofi2+Mz44fjz+QH5CvkO+Q/5DfkJ+QT4//j5+PT47/jq+Ob44/ji+OP45fjq+PH4+fkD+Q75Gfkk+S75OPlB+Un5Ufla+WX5cvmD+Zf5rvnH+eH5+voT+in6PfpP+l/6b/p/+o/6n/qv+r76zPrX+uL66/r0+v77CfsU+yD7K/s2+z77RftK+077U/tY+1/7Zvtv+3b7e/t++337ePtv+2P7U/tB+yv7E/r3+tn6uvqb+n/6afpa+lX6XPpw+pH6v/r4+z37i/vg/Dn8lPzr/Tz9gv27/eX9//4M/g/+Cv4D/fz9+P33/fr9//4G/gz+Ev4Y/h7+J/4x/j7+Tv5h/nT+iP6b/q7+v/7Q/t/+7P75/wP/Dv8Z/yj/PP9Y/37/r//oACYAZQCfAM4A7gD/AQEA9wDnANQAxQC9AL0AxwDZAPEBDQEqAUYBYAF0AYMBigGIAXsBZQFHASMA/QDZALwAqgCjAKkAuwDVAPQBFwE5AVoBeQGVAa8BxgHbAe4B/QIKAhMCGgIfAiICJQInAioCLQIwAjICMwIzAjICMQIxAjICNAI3AjoCPwJDAkcCSgJNAlECVQJbAmICawJ1An8CiQKRApgCnQKgAqICowKlAqkCrgK0ArwCwwLKAs4C0ALQAs8CzgLNAs8C1ALcAuYC8QL9AwgDEAMXAx0DIwMpAzADOANBA0oDUANVA1UDUwNOA0cDQAM4AzIDKwMkAx0DEwMIAvwC7gLgAtMCxwK8ArMCqgKiApoCkgKLAoUCgAJ8AnoCeQJ4AngCdwJ2AnUCdQJ3AnsCgAKHAo0CkQKTApACiQJ8AmwCWQJEAi8CGgIIAfcB6AHaAc4BwgG3AaoBngGRAYIBcwFkAVQBRAE0ASUBFgEIAPoA7QDfANIAxgC6AK8ApwCjAKEAowCoAK8AtwC9AMIAxADDAL4AtgCtAKQAmwCUAI8AjACMAI0AjwCSAJQAlgCXAJgAmACZAJoAnACgAKYArgC6AMgA2ADrAP8BFAEpAT4BUgFkAXYBhgGVAaMBsAG9AcgB0gHcAeYB7gH1AfoB/gIBAgICAgICAgUCCwIVAiQCOQJSAm4CiwKnAsEC2ALrAvsDCAMSAxsDJAMrAzIDOAM9A0ADQwNGA0gDTANQA1YDXQNkA2wDdAN8A4MDiwORA5YDmAOYA5MDiwN+A24DXANIAzUDJAMVAwoDAQL6AvMC7ALjAtkCzQLBArUCqwKlAqECoQKjAqYCqQKqAqoCpwKjAp0CmAKSAowCgwJ3AmUCTAIrAgYB3gG3AZUBewFrAWQBYgFiAV0BTgE0AQ0A2gCiAGcAMQAE/+D/yP+3/6v/of+V/4T/cP9X/z3/I/8K/vP+3v7K/rb+of6M/nf+Yf5N/jr+Kf4Z/gn9+P3l/c/9tv2b/X79YP1A/SD8/vzc/Ln8lvxz/FH8MvwW+/375/vS+737pfuJ+2j7QfsW+uf6t/qH+lv6M/oP+fD51Pm7+aT5jPlz+Vn5Pfkh+QT46fjP+Lj4pPiS+IH4b/hc+ET4J/gE99v3rfd890n3Gfbr9sH2nfZ89l72QvYm9gn16fXH9aP1fvVX9S/1BfTa9K30fvRP9CHz9fPO863zlPOB83XzbPNk81vzTfM68yLzB/Lr8s/ytvKh8o7yfvJu8l3ySvI08h3yBvHx8d/x0/HM8cjxyPHI8cjxxvHD8b/xu/G48bjxu/HA8cfxzvHV8drx3vHh8eTx6fHy8f/yEPIl8j7yWPJy8ozypPK78tLy6PMA8xrzNfNS82/zi/Om873z0PPg8+zz9fP79AD0AvQA8/vz8vPk89PzwPOu86DzlvOU85vzqPO889Tz7/QJ9CP0PPRU9G30h/Sj9L/03fT59RP1KPU59UT1SvVN9U71UPVT9Vr1ZPV09Yf1nfWz9cn13PXr9ff2APYH9g/2G/Yu9kj2a/aU9sP29Pck91H3ePea97f30vfu+Az4MPhb+Iz4xPkA+T/5f/m/+f/6QPqC+sj7Evti+7j8E/xx/NH9MP2O/en+Q/6e/v3/Yv/PAEUAwQE9AbQCHgJ1ArUC2wLpAuQC0QK5AqICkwKQAp0CuQLlAyEDawPCBCMEiwT2BV8FwgYaBmUGogbUBv0HJAdMB3kHrAflCCEIXQiVCMcI8gkXCTcJVAlvCYkJoQm2CckJ2AnlCfQKBwoiCkgKdwquCuoLJgteC44LtgvXC/MMDgwsDFAMfAyuDOUNHw1bDZcN0w4PDkwOig7JDwgPRg+AD7YP5xAUED0QZhCOELkQ5REUEUIRcBGbEcIR5RIEEh4SNRJJElsSahJ3EoISixKSEpgSnhKmErESwRLYEvYTHRNME4UTxRQKFFMUnRTlFSkVZxWeFc4V9hYWFi8WQRZLFk4WSxZCFjcWKxYhFhoWGRYfFioWORZLFl0WbxZ+FosWlhahFq0WuRbHFtcW5hb2FwUXExchFy8XPhdNF1wXaRdzF3kXehd1F20XYxdbF1cXXBdpF4EXoBfFF+wYEhgzGE8YZBhzGH0YhRiLGJEYmBigGKgYsRi5GMAYxxjNGNIY1xjaGNoY2BjSGMkYvRixGKQYmBiPGIgYhBh/GHoYchhkGFIYOhgdF/wX2he2F5EXbhdLFykXCRbqFs0WtBadFosWfBZuFmEWUxZDFjEWHBYGFe8V2BXDFa8VmhWEFWsVTRUqFQMU2hSxFIwUbBRTFEEUNBQrFCMUGRQNE/8T7hPdE84TwRO3E7ATqxOkE5kTixN3E18TRRMsEx8TChL7EvIS7hLsEugS4RLSErwSnRJ2EkkSGBHlEbIRgRFVES0RChDsENQQwBCvEKEQlhCOEIkQiBCLEJIQnBCmEK0QrxCoEJkQfxBeEDgQEA/qD8cPqA+LD28PTg8mDvUOug53Di0N4g2YDVINEQzWDKEMcgxIDCUMCQv1C+oL6AvvC/sMCwwaDCUMLAwtDCgMHgwRDAEL8AvdC8gLsAuVC3cLVgsyCwoK4Aq0CoQKUwofCesJtwmGCVkJMQkPCPEI1gi8CKAIgwhjCEEIHQf7B9sHvgejB4sHdAddB0UHLQcWBwAG7wbjBtsG2QbaBt0G3gbbBtUGyga8BqwGngaSBooGiAaLBpMGnQapBrYGwgbMBtYG3wbnBu0G8QbxBuwG4AbNBrMGkwZxBk0GLAYQBfkF6AXbBdAFxAW1BaAFhgVnBUYFJAUFBOoE1QTFBLsEtASvBKoEoQSVBIQEbQRQBC0EBAPYA6oDfQNSAywDDQL1AuYC3wLdAuAC5QLrAu8C8ALsAuIC0gK7ApwCdwJNAh4B7QG9AY8BZQFBASIBCQD0AOIA0QDBALEAoQCRAH8AbQBZAEUALwAZAAL/6//V/7//qv+X/4T/cf9e/0r/Nv8i/w7++v7o/tb+w/6t/pX+d/5V/i/+Bf3b/bH9i/1r/VP9RP0//UX9VP1r/Yn9rP3R/fT+E/4o/jP+Mv4k/gv96P2//ZL9ZP01/Qj82/yu/IH8VPwo+/z70/ut+4v7a/tO+zL7Ffr2+tb6tfqU+nX6WvpE+jP6J/of+hv6GfoX+hb6FfoT+hH6DvoL+gf6BPoB+gD6APoB+gP6BPoD+f/59/nq+dr5yfm5+av5ofmc+Zn5mPmW+ZL5jPmE+Xz5dvl0+Xb5e/mA+YL5f/l1+WT5Tvk3+SP5F/kS+Rf5Ifkt+Tb5Ofkz+Sb5E/j9+Oj41vjI+L34s/in+Jn4hvhy+F34TPhB+D74QfhL+Ff4Y/hr+G74bPho+GL4Xfhc+F34YPhj+GX4Y/he+Fb4TfhE+D/4PvhD+Ez4Wfhn+HX4gPiI+Iv4iPiB+Hb4Z/hX+Eb4N/gs+Cf4Kvg0+Eb4Xvh5+JX4rvjD+NH42fja+Nf40vjL+MX4wfi/+L74v/jB+MT4xvjJ+Mz40fjX+N/46fj0+QL5EPkd+Sr5NvlA+Uj5UPlY+WL5b/l/+ZP5qvnD+d/5+voU+iz6QfpV+mb6dfqD+pD6m/qk+qv6svq3+rz6w/rL+tf65vr3+wj7Gvsp+zX7PftD+0b7SPtJ+0z7T/tT+1f7WftZ+1b7UftI+z37MPsg+w76+vrj+sr6sPqY+oT6dvpy+nn6jfqt+tr7EvtU+5377Pw9/JD84f0u/XL9rf3a/fr+Dv4W/hb+Ef4K/gT+Af4B/gL+Bf4J/g3+EP4U/hv+JP4y/kP+WP5v/oj+oP65/tD+6P7+/xT/KP85/0f/UP9W/1v/Yv9v/4X/qP/WABAAUACQAMwA/QEfATIBNwExASMBEwEFAP0A+wECARIBKgFKAXEBnQHLAfcCHQI4AkQCPQIkAfsBxQGJAU4BGgDyANkA0ADVAOYA/wEeAT4BXgF9AZoBtQHNAeMB9QIEAhACGQIgAiYCKwIwAjUCOgI+AkICRAJFAkQCRAJDAkMCQwJFAkcCSQJMAk8CUgJVAloCYAJoAnICfgKKApgCpAKwArkCvwLDAsQCxQLFAscCygLPAtYC3wLnAu4C8gL0AvMC8QLvAu8C8QL3Av8DCQMTAx0DJQMrAy8DNAM4Az4DRgNOA1cDXgNjA2UDYwNfA1kDUwNMA0YDQAM6AzMDKgMgAxUDCAL8AvEC5gLcAtICxwK8Aq8CoQKUAokCfwJ5AnYCdQJ2AngCeQJ6AnsCfAJ+AoACgwKHAokCigKGAn8CdAJlAlMCQAItAhwCDAH/AfMB6QHfAdYBzQHEAboBsAGkAZgBigF7AWsBWQFHATQBIgERAQEA9ADoAN4A1gDQAMwAywDLAM4A0gDYAN8A5wDuAPMA9gD2APQA7wDpAOEA2QDSAM0AyQDIAMgAyQDMAM8A0wDVANgA2QDbANwA3QDfAOMA6QDxAPwBCQEXASUBNAFCAU8BXAFoAXQBgQGPAZ4BrgG+Ac0B2wHpAfQB/gIHAg8CFwIeAiQCKwIyAjkCQgJNAlsCawJ9ApECpQK5AssC3QLtAv0DDAMbAyoDOANFA08DVgNZA1kDWANWA1UDVwNbA2MDbQN4A4IDjAOUA5oDngOfA54DmwOVA4wDfwNvA1sDRQMvAxgDBALyAuQC2QLSAswCxwLDAr4CugK1ArICsAKxArUCuwLCAsoC0QLWAtkC2gLZAtYC0gLMAsUCuwKrApUCeAJVAi8CBwHjAccBtAGsAa4BtQG9Ab0BswGaAXEBOwD9ALsAewBDABT/8P/U/77/qv+W/4H/af9P/zX/G/8D/u3+2P7E/q/+mP6B/mr+U/49/ij+FP4C/fD93f3J/bT9nP2D/Wj9TP0v/Q/87vzK/KT8fvxW/DD8Dfvs+8/7s/uZ+377YftA+xv68frF+pj6a/pB+hv5+/ng+cr5uPmp+Zz5j/mA+W75WvlD+Sr5EPj2+N74yfi2+KX4lPiB+Gz4Ufgx+Az34fez94T3Vfcp9wD22/a49pn2evZc9jz2HPX69df1svWM9WT1OfUN9N70rPR69Ef0FvPq88Pzo/OK83jza/Ng81TzRvM18x/zBvLr8s/ytfKd8ofycvJe8kryNPIe8gfx8fHe8c7xw/G88bnxuPG48bfxtfGx8azxpvGh8Z7xnfGe8aDxo/Gn8arxrfGw8bXxvfHI8djx7fIG8iLyQPJd8nnykfKl8rfyxvLU8uLy8vMF8xrzMfNJ82Hzd/OK85rzp/Oy87nzv/PB88HzvfO186vznvOQ84PzevN383nzgfOO86Dzs/PI893z8vQH9B70NvRR9G30ivSm9L/01fTm9PP0/PUC9Qf1C/US9Rv1J/U29Uj1XPVw9YP1k/Wf9aj1rfWw9bT1vPXK9eH2AfYq9ln2jPa/9u73Gfc891r3dfeO96r3yvfy+CL4WfiV+Nf5Gvld+aD54foj+mX6q/r1+0X7mvv0/FD8q/0D/Vj9qf36/kz+pv8L/3z/+gCCAQwBkQIIAmoCswLiAvgC/AL1AukC3gLbAuEC8gMPAzgDbgOxBAEEXATABScFjQXsBkAGhga/Bu0HFgc8B2UHkwfFB/kILQhdCIgIrgjSCPUJGwlFCXIJoAnMCfIKDwojCi8KOApDClQKbwqUCsMK9gsrC14LjAu0C9gL+gweDEUMcQyhDNYNDg1IDYINvw3+DkAOhQ7NDxYPXQ+hD98QFxBHEHIQmhDAEOcRDxE4EWIRjBG0EdoR/RIcEjcSTxJkEnQSghKNEpUSnRKkEqsStRLAEs8S4RL4ExQTNRNeE48TxxQGFEoUkRTXFRkVVhWJFbQV1RXtFf8WChYSFhgWHBYfFiMWJxYsFjMWPBZFFk4WVxZfFmYWbBZxFncWfhaIFpYWpxa6FtAW5hb7Fw8XIhc0F0QXVBdiF3AXexeCF4YXhheDF34Xexd7F4EXjxelF8MX5RgLGDAYURhuGIUYlhiiGKoYsRi2GL0YxBjLGNMY2xjhGOYY6RjsGO0Y7RjtGOsY6BjlGOAY2hjUGM0YxhjAGLoYtBivGKgYoRiXGIwYfRhqGFMYNxgVF+4XwheSF2AXLxcCFtoWuxajFpMWiBaAFngWbhZfFk0WNhYeFgYV7hXYFcMVrhWWFXoVWRU0FQsU4RS6FJgUfRRpFFwUUxRMFEQUORQqFBkUBhPzE+MT2BPQE8wTyBPDE7kTqROSE3cTWRM6EzkTIRMOEv8S8xLoEtwSzBK3EpwSehJSEiYR9hHEEZMRZBE5ERQQ9hDfEM4QxBC+EL0QvRC/EMIQxRDJEM0Q0BDQEMwQwRCvEJMQcBBIEBwP8g/MD6oPjA9xD1QPMg8JDtYOmg5YDhMN0A2TDV0NLw0IDOUMxAyjDIQMZQxKDDQMJgwfDB4MIgwoDC0MLgwsDCQMGQwKC/gL4wvMC7ILlAtzC00LJQr7Cs8KoQpyCkIKEAncCagJdAlDCRUI7gjMCK8Ilgh/CGgITggzCBQH9QfWB7kHnweHB3IHXgdLBzcHIgcOBvsG6gbeBtUG0AbOBs0GywbGBr8GtQaqBp4GkwaLBogGiAaMBpQGnAakBqsGrwayBrMGtAa1BrgGuwa+Br8Gvga4Bq4GngaLBnYGYQZNBjwGLAYeBg4F+gXhBcEFnAVyBUcFHQT4BNkEwQSwBKMEmgSSBIoEgARzBGQEUQQ5BBwD+wPUA6gDeQNJAxwC8wLSAroCrQKoAqwCtAK/AsoC0gLVAtECxQKxApUCcgJKAh0B7wHAAZIBZwFAARwA/QDiAMsAtwCnAJoAjwCFAHwAcQBkAFMAPwApAA//9f/b/8T/rv+a/4j/dv9j/0//Of8i/wn+8P7X/r7+pf6J/mv+SP4g/fT9xP2T/WT9O/0c/Qj9Av0K/R/9QP1q/Zn9yf32/hv+Nf5B/j7+LP4L/d/9q/1z/Tv9BvzV/Kj8f/xY/DP8Dfvn+8D7m/t4+1f7Ovsf+wb67vrU+rn6nPp++mD6RPor+hb6Bvn6+fL57vns+ez57Pnt+ez56fnl+eD52fnT+c/5zfnO+dL52Pnc+d752vnR+cH5rvmY+YX5dflq+WP5YPle+Vz5V/lR+Uv5RvlE+Uf5TPlU+Vn5WvlT+UX5MfkZ+QT48/jq+On47fj0+Pn49/ju+N34xvit+JT4gPhv+GP4WPhN+D/4Lvgb+An3+vfy9/H3+PgE+BL4Hvgm+Cf4IvgY+A34A/f99/r3/PgB+Ab4CvgM+Ar4BvgB9/z3+Pf49/r3//gG+A/4GPgh+Cj4Lfgv+C74KPgg+BT4CPf+9/f39vf9+Ar4Hvg2+FD4aPh9+Iv4lPiW+JX4kfiN+Ir4ifiL+JD4l/if+Kj4svi8+Mb40fjd+On49/kF+RT5Ifku+Tn5Q/lL+VP5Wvli+W35evmJ+Zz5svnI+d/59voM+h/6MvpC+lL6YPpt+nj6gfqI+oz6j/qR+pP6mPqg+q36vvrT+un6//sS+yH7LPsy+zT7M/sx+y77K/so+yb7I/sg+xv7FvsQ+wn7Afr4+u364PrQ+r/6rPqa+o36hvqI+pf6svrb+w/7TvuU++D8Lvx8/Mn9Ef1U/Y79v/3l/gD+EP4Y/hn+Fv4S/g/+Df4N/g/+EP4S/hP+Ff4Y/h/+Kv46/k/+aP6D/qD+vf7Z/vX/EP8q/0T/XP9y/4P/j/+W/5n/nP+i/6//xv/oABYATACIAMIA9wEjAUQBWAFiAWMBXQFUAUkBPwE5ATgBQAFTAXMBnwHXAhUCVAKNArgC0QLUAsACmAJhAiIB4QGmAXUBUQE5AS4BLQE0AUEBUwFoAX4BlgGtAcQB2AHrAfoCCAITAh0CJwIwAjoCQgJLAlECVwJbAl0CXgJeAl4CXQJdAlsCWgJZAlkCWQJcAmACZgJvAnoChwKVAqQCsgK/AsoC0wLaAt4C4QLjAucC6wLyAvsDBQMPAxcDHQMgAyADHQMaAxkDGQMeAyYDMAM7A0YDTgNUA1gDWgNcA14DYwNpA3EDeQN/A4MDhQODA38DeANxA2gDXwNUA0kDPQMxAyUDGgMQAwcC/gL2AusC3gLOAr0CqgKZAooCgQJ8AnwCfwKFAokCjQKOAo4CjAKJAocChQKDAoECfQJ2AmwCXwJQAkECMQIjAhYCDAICAfkB8AHoAd8B1gHOAcYBvgG1AawBoAGSAYEBbgFZAUQBMAEdAQ4BAQD4APMA8QDxAPQA9wD8AQEBBgELAQ8BEwEWARgBGQEaARkBGAEWARQBEgEQAQ4BDAEKAQgBBwEGAQYBBgEHAQgBCwENARABEwEXARsBIAEmAS0BNgE/AUkBUgFZAWABZwFtAXYBgAGOAZ8BsgHHAdsB7gH/Ag4CGgIkAi0CNgJAAkoCVQJgAmsCdgKBAowCmAKkArACvQLKAtYC4gLvAvwDCwMaAyoDOANFA04DVANVA1MDTgNKA0gDSgNQA1kDZgNyA34DiAONA48DjgOJA4IDegNwA2MDVQNEAzIDHQMIAvQC4gLTAsgCwQK9Ar0CwALEAsgCzQLRAtUC2gLeAuQC6gLwAvcC/QMCAwYDCAMIAwYDAgL8AvMC5QLSAroCnAJ5AlUCMgIVAgAB9gH3AgACDgIaAh8CGAICAdoBpAFkAR4A1wCWAFsAKf/+/9r/uP+Z/3r/XP8+/yD/Bf7q/tL+uv6i/or+cv5a/kL+K/4V/gD97P3Z/cb9sf2c/Yb9b/1W/T39Iv0F/OX8wvyc/HT8S/wi+/v71/u2+5j7e/td+z77G/r2+s36o/p5+lH6K/oK+e751vnE+bX5qfmf+ZX5i/l++XD5X/lL+Tb5IPkL+Pf45vjW+Mf4t/il+I74cvhQ+Cj3/ffP96H3dPdK9yP2/vbb9rr2mfZ49lf2NfYU9fH1z/Ws9Yf1YfU49Q303vSu9Hz0S/Qc8/DzyvOp847zd/Nk81PzQfMv8xnzAfLo8s3ysfKX8n3yZPJM8jXyHvIH8fHx3fHK8bzxsfGp8aTxovGg8Z7xm/GW8ZDxifGC8XvxdvFx8W7xbPFr8W3xcPF18Xzxh/GW8anxwfHb8fnyGPI38lTybfKC8pHynPKk8qvysvK78sjy2PLr8v/zFPMo8zrzSfNW82Hza/Nz83rzfvN/83zzdvNt82PzWfNS80/zUfNX82LzcfOC85XzqfO989Pz6vQC9Bv0M/RK9F/0cvSC9I/0m/Sl9LD0u/TI9Nb05vT39Qr1H/Uz9Ub1VvVj9Wz1b/Vw9XD1cfV49Yb1nfW+9ef2FvZI9nn2p/bQ9vT3Ffc191X3efei99L4B/hC+IH4wfkC+UP5g/nC+gL6RPqL+tf7Kft/+9j8MPyF/NP9G/1f/aH96P45/pn/Cf+JABQAogErAacCEAJjAqACzALpAv8DEgMkAzcDTANkA38DoQPKBAAEQgSSBOwFTQWuBgoGXAajBt8HEwdCB3AHnwfNB/sIJQhKCGoIhwijCMQI7QkgCVwJnAnbChIKPApXCmQKZwpoCmsKeAqRCrcK6AsdC1QLiQu5C+UMDQw1DF0MiAy1DOUNFw1KDX8Ntw30DjUOew7GDxQPYQ+sD/EQLxBlEJUQwBDnEQ4RNBFbEYMRqhHREfYSGRI5ElYSbxKDEpISnBKjEqcSqxKwErgSxBLTEuUS+hMPEyYTPxNbE3wToxPTFAoURxSHFMcVAhU2FWAVgBWWFaUVrxW4FcEVzRXcFe8WBRYcFjMWSBZZFmcWcBZ1FncWdxZ4FnsWghaOFp4WsxbKFuQW/RcVFysXPhdQF18XbRd6F4YXkBeZF6AXpherF7IXuhfHF9cX6xgDGB4YORhVGG8YhhiZGKkYthjBGMoY0hjaGOEY6RjwGPYY/BkBGQQZBxkIGQcZBRkDGP8Y/Bj4GPYY8xjxGPAY7hjrGOcY4RjaGNIYyhjBGLkYsBimGJgYhRhqGEcYHBfpF7EXeBdBFxAW6RbLFrcWqRagFpcWjBZ+FmwWVxZAFikWEhX7FeQVyhWtFYwVZRU8FRAU5xTCFKQUjRR+FHMUbBRlFFsUThQ9FCsUFxQGE/gT7hPoE+MT3xPZE84TvhOoE44TcRNUE2ETShMzExsTARLmEsoSrBKMEmoSSBIkEgAR2xG2EZERbRFLES0REhD9EO4Q5BDfEN4Q3xDhEOMQ5BDjEOAQ2hDQEMEQrBCREG4QRxAbD/APxg+hD4IPZg9MDzAPDw7mDrMOeA45DfkNvQ2JDV8NPw0mDREM/gzqDNIMuQygDIgMdAxkDFgMUAxJDEEMNwwqDBsMCgv3C+ILywuyC5QLcgtLCx8K7wq+CowKWgooCfcJxQmSCV8JLQj9CNEIqgiKCHAIWghHCDUIIQgKB/EH1ge6B58HhgdvB1sHSQc5BykHGQcJBvoG7QbhBtcGzwbJBsQGvwa6BrQGrgapBqMGnwadBp0GnwajBqgGrQawBrEGrwapBqEGlwaNBoQGfgZ7BnoGegZ5BncGcwZsBmMGWQZPBkUGOgYtBh0GBwXqBcYFmwVtBT0FEAToBMcErgSbBI4EhAR8BHUEbQRkBFoETQQ9BCkEDQPqA8ADjgNYAyIC7gLCAqACigKBAoICjAKaAqoCtgK9Ar0CtAKjAosCawJGAh4B8wHHAZsBbwFGAR4A+QDYALwApACSAIYAfgB4AHQAbgBkAFUAQQAoAAv/7f/R/7b/oP+N/3z/bf9d/0v/Nv8e/wL+5f7G/qX+hP5g/jn+EP3j/bP9g/1V/S39Dvz8/Pj9BP0e/UX9dP2n/dj+BP4l/jn+Pv4z/hr99P3D/Y39U/0a/OT8svyG/F78OfwW+/T70fut+4n7ZvtF+yb7C/rz+tz6xvqw+pf6fPpf+kH6I/oI+fH53fnP+cX5v/m9+b35v/nC+cP5wvm/+br5s/mr+aX5ofmi+af5r/m4+b/5wPm6+az5l/l/+Wb5UPk/+TP5LPko+SX5Ifkc+Rb5EfkP+RL5Gfki+Sv5Mfkw+Sj5GPkD+O742/jN+Mb4xPjE+MH4uvir+JT4efhb+D/4J/gW+Ar4A/f89/T36ffb98z3vfez9633rvez97r3wPfE98T3v/e496/3qPel96b3q/ey97v3wvfH98j3xvfC97z3tvew9633rPeu97L3uvfD98732vfk9+z38Pfw9+v35Pfb99P3zffM99H33Pfr9/74Efgj+DL4PvhG+Ev4TvhQ+FP4V/hd+GX4b/h7+If4lvil+Lb4yfjc+PD5A/kW+Sf5NflA+Un5T/lU+Vn5X/ln+XL5gPmR+aX5uPnM+d757vn8+gn6Ffoh+i36OfpG+lH6W/pj+mf6afpp+mn6a/pw+nn6hvqY+qz6wfrU+uX68fr4+vv6+/r4+vT68Prr+uf64/rf+tz62PrV+tP60frO+sv6xfq8+rH6pPqX+o36iPqL+pr6tvre+xT7VPuc++n8OPyG/NH9GP1Y/Y/9vv3k/gD+FP4f/iX+Jv4m/iT+I/4i/iH+If4g/iD+If4k/iv+N/5J/mD+e/6a/rv+2/77/xn/Nv9S/2z/hf+b/67/vf/J/9H/2f/i/+8AAwAeAEIAbACaAMsA+QEkAUoBaQGBAZIBnQGgAZwBkwGHAXsBcwFzAX8BmQHDAfoCOQJ6ArYC5wMHAxQDDgL3AtQCqAJ4AkgCGwHzAdABswGdAY0BgwGAAYMBigGWAaQBtAHFAdYB5wH5AgsCHQIuAj4CTQJaAmUCbgJ1AnsCfwKDAoUChQKEAoECfAJ3AnICbgJuAnACdQJ+AokClgKjArECvgLKAtYC4ALpAvEC+AMAAwgDEQMcAygDNANAA0oDUQNUA1QDUQNOA0wDTQNSA1sDZgNzA38DiAOOA5ADjwONA4sDiwOOA5QDmgOhA6YDqAOnA6IDmgOPA4IDcwNkA1UDRwM7AzIDKwMmAyEDHAMTAwYC9ALeAsQCqwKUAoMCegJ4AnwChAKOApUCmQKYApQCjAKEAnsCcwJsAmYCXwJXAk4CRAI6AjECKAIhAhoCEwILAgIB9wHrAeAB1QHMAcUBvwG5AbIBqgGeAY4BfQFpAVUBQgEyASUBHAEXARQBFQEYARwBIQEnAS0BMgE2ATkBOgE6ATkBNwE0ATMBMgEyATMBNgE5AT0BQAFBAUEBQAE9AToBOAE3ATkBPAFBAUcBTQFTAVkBXgFjAWkBbgF0AXsBgQGGAYoBjgGTAZkBogGwAcEB1QHsAgMCGAIqAjkCRQJPAlgCYgJsAngChAKRApwCpgKvArYCvQLEAssC0gLaAuMC7AL1AwADCwMXAyQDMAM8A0UDSwNPA08DTgNOA08DUgNYA2EDagNyA3gDegN5A3MDbANiA1gDTwNFAzsDMQMmAxoDDQL/AvIC5gLdAtcC1QLWAtoC4QLqAvMC/AMEAwsDEAMUAxYDGAMaAx0DIAMjAyYDKQMrAyoDKAMiAxgDCgL3At4CwQKiAoECYwJKAjoCMwI2AkACTgJcAmMCYAJOAi0B/QHCAX8BNwDwAKwAbAAy//z/zP+e/3T/Tf8o/wb+5f7H/qn+jP5w/lX+O/4i/gz9+P3l/dT9w/2x/Z/9i/12/WD9Sf0x/Rj8/fze/Lv8lPxq/D78Evvo+8H7nvt/+2L7Rvso+wb64vq5+o/6ZPo7+hb59fnZ+cL5r/mf+ZL5hvl6+W75YflU+UT5NPkj+RL5A/j1+Or44vjb+NP4yPi5+KP4hvhi+Dj4C/fc96/3hPdc9zf3FPby9tD2rvaM9mn2SPYm9gX15PXD9aH1ffVW9S71AvTV9Kb0d/RJ9Bzz8vPM86rzjPNx81jzQfMr8xPy+fLe8sHyo/KF8mjyTPIz8hryBPHv8dzxyvG68a3xofGX8Y/xiPGC8XzxdvFv8WbxXfFT8UnxPvE18S3xJ/Ek8SXxKfEx8TzxS/Fe8XPxi/Gk8cDx3fH68hbyLvJC8lLyXPJi8mXyZ/Jq8nHyevKI8pjyqvK88szy2/Lp8vbzA/MQ8x3zKvM08zvzPfM88zbzL/Mm8yDzHPMd8yPzLfM680vzXvNy84fznfOz88nz3vPx9AT0FPQk9DT0RPRU9Gb0d/SJ9Jv0rPS99M/04vT19Qj1G/Ur9Tb1PvVA9UD1P/VA9Uf1VvVv9ZH1uvXp9hn2SfZ39qL2y/bz9xz3Rvd096b32/gT+E34iPjD+P/5Ofl0+bD57/oy+nn6x/sa+2/7xfwY/GX8qvzp/ST9Yf2l/fX+Vv7I/0f/zwBXANoBUAG3Ag4CVgKUAsoC+gMmA0wDbAOFA5oDrAPCA+IEEARQBKEFAAVnBc8GMQaKBtcHGgdTB4cHtwfiCAkIKghFCFsIbgiDCKEIygkBCUUJkQndCiIKWgqACpUKnQqhCqYKtQrQCvoLLwtqC6cL4QwUDEEMaQyNDK8M0wz4DR8NSQ11DaMN1Q4MDkkOjA7UDx8Paw+1D/kQOBBwEKMQ0RD8ESYRUBF6EaURzhH3Eh4SQxJkEoESmBKoErEStBKzEq8SrRKuErUSwhLVEuwTBBMaEy4TPhNNE10TcROME7ET3xQUFE0UhhS7FOgVDBUoFT0VThVeFXEViBWlFcYV6hYPFjEWTxZnFngWgxaJFosWjRaQFpUWnxatFsAW1hbuFwcXHxc2F0sXXRdtF3wXiBeTF50XpxexF7wXyRfYF+oX/hgVGC0YRhheGHQYiBiaGKkYthjDGM8Y2hjmGPEY+xkEGQsZERkWGRsZIBkkGSkZLRkwGTEZLxksGSYZHxkZGRMZEBkPGQ8ZERkSGREZDRkGGPwY8RjkGNgYzhjEGLkYrBibGIIYYhg5GAoX1hehF24XQBcZFvkW4RbNFrwWrBabFokWdhZhFkwWNRYcFf8V3xW6FZIVZhU6FRAU7BTNFLYUphSaFJEUhxR7FGwUWhRGFDIUHxQQFAMT+hP0E+4T6BPgE9UTxxO2E6ITjhN3E4sTdxNdEz0TGBLwEsUSmhJwEkoSJxIJEewR0hG5EaARhRFrEVEROBEjERERAxD5EPMQ7hDrEOYQ3xDVEMgQuBCjEIsQbxBPECsQBA/dD7YPkw9zD1gPPw8nDwwO6w7CDpAOVw4ZDdwNpA10DU4NMw0hDRQNCQz9DO8M3gzMDLgMpQyTDIIMcAxeDEoMNAwcDAML6gvSC7kLnwuDC2MLPQsRCuEKrQp2CkAKCwnXCaUJdAlDCRII4gi1CIsIZghICC8IGwgKB/oH6QfXB8EHqgeSB3sHZAdRB0EHMwcoBx8HFgcOBwYG/QbzBukG3gbUBsoGwga8BrgGtga2BrcGuQa7Br0GvwbCBsUGyAbKBsoGxga+BrIGogaPBnsGaQZYBksGQAY5BjIGLAYmBiAGGQYTBg0GCAYBBfcF6AXSBbUFkgVpBT4FFATvBM8EtQSjBJYEjQSHBIQEgQR+BHsEdgRsBFwEQwQgA/IDuwN9AzwC/gLHApwCfgJuAmsCcgKAAo8CngKnAqkCowKVAn8CYwJCAh0B9QHMAaIBeAFOASUA/gDaALoAoACMAH4AdQBvAGsAZQBbAEwAOAAeAAD/4f/C/6b/jP93/2T/VP9E/zT/If8L/vH+0/6y/o7+Z/4+/hP95v26/ZD9av1K/TT9Kf0s/T39Wv2C/a/93/4J/iv+P/5E/jj+Hf32/cX9j/1Y/SH87vy//JT8bPxI/Cb8BPvi+7/7nPt5+1b7NfsW+vr64frK+rT6n/qI+m76U/o1+hb5+fnd+cT5sPmg+ZX5jfmJ+Yf5iPmK+Yz5jPmL+Yj5g/l9+Xf5dPl0+Xj5gPmJ+ZL5lvmT+Yj5dvle+UT5K/kV+QX4+/j0+O/46vjl+N/42vjY+Nr44vjs+Pj5APkE+P/48vjf+Mj4svif+JH4h/iB+Hn4bfhc+ET4JvgH9+r30vfA97b3sfev9633qfei95f3ivd993P3a/dn92X3Zfdk92L3YPde91z3Xfdi92n3c/d/94n3kfeW95b3k/eM94P3evdx92r3Zvdl92j3bvd394L3jvea96X3rPew96/3q/el9533lveS95L3lvef96z3u/fN99737ff7+Af4EfgZ+CD4J/gv+Df4QPhK+Ff4Zfh2+Ir4oPi5+NL47PkF+Rv5Lfk7+UX5S/lQ+VT5Wvlj+XD5gPmU+an5vvnQ+eD57Pn1+fz6AvoJ+hH6Gvoj+i36Nfo6+j36PPo4+jT6Mfow+jL6OfpE+lP6Y/p0+oP6j/qZ+p/6ovqi+qL6ofqg+p/6n/qf+p/6n/qf+p/6nvqe+pz6mfqU+o36g/p5+nD6avps+nf6j/q0+uj7J/tw+8D8Evxk/LT8/v1C/X/9s/3g/gP+Hv4x/j3+Qv5C/j/+O/41/jH+Lf4r/ir+LP4y/jv+Sf5c/nX+kv6y/tX++P8b/zv/Wv91/47/pf+5/8v/2//q//kACAAaAC4ARgBiAIMApgDLAPEBFwE7AV4BfwGcAbYBygHXAd0B2gHQAcIBswGmAaIBqAG6AdkCAwI0AmgCmQLGAuoDBAMTAxgDFAMHAvMC2AK5ApYCcQJLAigCBwHrAdMBwAGzAasBqQGtAbgByQHfAfkCFgIxAksCYQJyAn8CiQKSApkCoAKnAq0CsQKyAq8CqQKhApgCkQKNAo4CkwKcAqgCtQLCAs4C2ALiAusC9AL9AwcDEwMfAy0DPANLA1oDaAN1A38DhgOJA4gDhgODA4IDhAOJA5IDnQOpA7MDugO9A7wDuAOzA64DqwOrA64DswO4A7wDvAO5A7IDpgOYA4cDdgNlA1UDSQNAAzsDOAM4AzYDMgMoAxgDAALiAsECoQKFAnICaAJnAm0CdwKBAogCiQKFAnsCbgJhAlQCSQJAAjkCMwItAicCIgIeAhsCGQIYAhYCEgILAgAB8gHiAdMBxgG9AbYBswGxAa4BqQGhAZUBhwF4AWkBXAFSAUoBRAFAAT0BOwE7ATsBPQFBAUYBTQFTAVkBXgFhAWABXgFZAVQBTwFLAUkBSgFOAVQBWwFiAWcBawFtAW8BcAFyAXUBfAGEAY4BlwGgAagBrQGxAbQBtwG7AcABxgHLAdEB1gHbAeIB6gH2AgUCFgIqAj0CTwJeAmoCdAJ8AoMCjQKXAqQCsQK8AsYCzgLSAtUC1gLYAtwC4QLoAvAC+QMCAwwDFQMgAyoDNgNBA0wDVgNfA2YDbQNzA3oDgAOHA40DkQOSA5ADigOBA3YDawNhA1oDVQNSA1ADTwNNA0kDRAM+AzgDMQMrAyYDIwMiAyQDJwMrAzEDNwM8A0ADQgNCA0EDPwM+Az0DPQM/A0IDRgNJA0sDSwNHAz4DMgMhAwsC8gLWArkCnQKEAnICZgJhAmICaAJuAnACawJdAkMCHAHrAbEBcAErAOYAoQBeACD/5v+w/3//U/8q/wP+3/67/pf+dP5R/jD+Ev34/eH9z/2//bD9ov2T/YP9cf1e/Uv9N/0i/Qr88PzQ/Kv8gfxT/CL78vvF+5z7eftb+z/7I/sF+uP6vPqS+mX6OfoP+er5yfmu+Zf5g/lx+WH5UflB+TL5IfkR+QH48fji+Nb4zPjH+MX4xvjI+Mj4xPi5+Kb4ifhl+Dv4D/fi97b3jvdp90f3JvcF9uP2wfaf9n32XPY79hr1+fXW9bL1i/Vi9Tf1CvTe9LH0hPRZ9C/0B/Ph877znfN+82HzRvMr8w/y8vLS8rLykPJv8lDyMvIY8gHx7fHb8cvxvPGu8aDxk/GG8XrxbvFi8VfxS/E/8TPxJvEZ8Q3xAPD18Ovw5fDi8OTw6vD18QXxF/Es8ULxWvFx8YnxovG68dHx5fH38gXyDfIS8hPyE/IT8hXyG/Ik8jDyPvJM8lryZ/Jz8oDyjfKc8q3ywPLS8uLy7vL28vny9/Ly8u3y6fLn8uny7/L58wbzF/Mp8z3zUvNo83zzkPOj87TzxfPX8+rz/vQU9Cr0QfRW9Gn0efSI9JX0o/Sz9MX02PTr9P31C/UV9Rv1H/Uk9Sz1PPVT9XP1mvXH9fX2JfZT9n/2qvbW9wL3Mfdi95X3y/gC+Dn4cfio+N/5F/lO+Yf5wvoA+kL6ifrV+yT7dfvE/BD8VvyY/NX9E/1V/aH9+f5e/tD/Sv/IAEIAtQEfAX0B0gIgAmcCqQLjAxQDOgNUA2QDbwN8A5MDuwP6BE4EtgUqBaEGFAZ8BtUHHwddB5AHvAfiCAIIHggzCEUIVghqCIgIswjtCTYJiAncCioKbAqdCr0K0AreCuwLAgskC1MLiwvIDAQMOwxqDJAMrwzKDOQM/w0eDUANZw2SDcAN8w4rDmgOqg7wDzcPfg/DEAMQPRBzEKQQ0xEAES4RXBGLEboR6BIVEkASZxKIEqQStxLCEsUSwBK3EqsSohKfEqQSsRLHEuES/BMUEycTMxM5EzwTQRNME2ATfxOoE9gUDRRBFHIUnhTDFOUVAxUjFUUVaxWVFcIV7xYaFj8WXhZ1FoUWjxaVFpsWoRaqFrcWxxbbFvAXBxcdFzIXRhdYF2kXeBeFF5IXnRenF7EXuxfHF9QX5Rf5GBAYKxhHGGIYfRiUGKgYuBjGGNIY3hjrGPkZCBkXGSYZMhk7GUIZRhlJGUwZTxlVGVwZYxlqGW4ZbxlrGWUZWxlQGUcZPxk8GTsZPhlBGUMZQhk9GTIZIhkOGPkY5BjSGMIYtRipGJwYjBh1GFgYMxgIF9kXqBd4F0wXJBcCFuQWyxa1FqIWjxZ7FmUWTBYuFgsV4hW2FYkVXBUyFQ8U9BTgFNEUxxS9FLIUoxSQFHoUYxRMFDgUKBQcFBMUCxQEE/sT8RPmE9kTzBPAE7QTqRObE6gTlxN+E10TNhMKEtsSrBKAElcSMhISEfUR2hHAEacRjRFzEVoRQhEtERoRChD+EPMQ6hDfENMQwxCwEJkQfxBjEEUQJhAGD+cPyA+rD5APeA9hD0wPNw8fDwMO4A61DoMOSg4ODdMNnQ1uDUgNLA0XDQgM/AzwDOIM0wzBDK8MnAyJDHUMYAxJDDEMFgv5C9wLvwuiC4ULZwtGCyEK9wrHCpMKXAokCewJtQmBCU8JHwjwCMIIlghsCEUIJAgHB+8H2wfKB7kHqQeYB4UHcgdeB0wHPAcuByMHHAcXBxUHFQcVBxQHEQcMBwMG9wbpBtsGzgbFBsAGvgbBBsUGygbOBtIG1AbWBtkG3gbiBucG6QbnBuAG0ga+BqUGigZuBlMGOgYlBhEF/wXvBeEF1AXKBcMFvgW7BbkFtAWqBZsFhgVqBUsFKgUKBO0E1QTCBLMEqgSkBKIEogSjBKMEoQSZBIkEbwRJBBcD2wOYA1MDEALUAqMCfwJpAmACYgJrAncChAKOApICkAKGAnQCXAI+AhwB9wHPAacBfgFWAS8BCgDnAMgArQCWAIUAdwBtAGQAXABRAEMAMgAcAAL/5v/H/6j/if9s/1D/N/8g/wz++P7k/tD+uP6d/n/+XP43/hH97P3K/a79mv2O/Yz9k/2l/b793v4B/iL+Pf5P/lL+Rv4p/f39x/2K/U39Evzd/LD8i/xq/E38MfwU+/X71Puy+4/7bftL+yv7Dvry+tn6wfqq+pP6e/ph+kb6KPoK+ev5zfmy+Zr5hvl1+Wj5XvlW+VD5S/lJ+Un5SflK+Ur5SvlI+Ub5RflF+Uj5TflU+Vv5X/lf+Vf5SPkz+Rr5APjo+NX4x/i9+Lf4sviu+Kr4p/in+Kr4svi8+Mf40fjV+NH4xPiw+Jf4fPhi+E34Pfgx+Cb4GfgI9/P32fe996H3ifd392v3Zfdk92T3ZPdi9133VvdN90T3PPc19y/3Kvcl9yH3H/cd9x/3JPct9zn3R/dV92H3afds92r3Y/dY90r3Pfcx9yj3Ivch9yT3Kvcz9z33R/dR91r3YPdj92P3Yfdd91j3U/dP90/3U/dc92n3efeN96H3tPfG99X34ffq9/H39/f9+AP4C/gU+B74K/g6+Ez4Yvh6+Jb4s/jQ+Oz5BfkZ+Sn5NPk8+UT5TPlX+Wb5efmP+ab5vPnQ+eD57Pn0+fn5/foA+gT6CPoL+g76DvoN+gf6APn2+e355Pne+d354Pnn+fL6APoP+h36Kvo0+jz6QfpE+kf6SvpO+lP6WPpd+mH6ZPpl+mX6Y/pg+lz6WPpT+k36Rvo++jb6Mfoy+jv6UPpz+qT64/st+3/71fws/ID80P0a/V79m/3R/gD+Jv5C/lX+Xv5e/lj+Tv5C/jj+Mf4t/i7+NP4+/kz+Xf5z/oz+qf7I/ur/Df8v/1D/b/+K/6H/tv/I/9n/6f/7AA4AIwA8AFgAdwCYALoA3QEAASIBQgFiAYABnAG2Ac4B4QHvAfcB+AHzAeoB3wHUAcwByQHNAdgB6wIFAiQCRwJtApQCuwLgAwEDHQMyAz8DQwM/AzIDHwMFAuUCwQKYAm0CQQIWAe8B0AG8AbcBvwHVAfUCGwJBAmQCgAKVAqICqgKwArYCvQLGAs8C1gLaAtgC0wLKAsACuAK0ArYCvQLJAtcC5gLzAv4DBgMLAxADFgMeAykDNgNGA1cDaQN6A4sDmQOlA64DtAO3A7gDtwO2A7YDuAO9A8MDywPSA9gD2wPaA9YD0APJA8MDwAO/A8EDxAPGA8cDxQO/A7UDpwOYA4cDdgNnA1kDTgNGA0ADPQM6AzYDLgMhAw0C8wLUArICkwJ4AmYCXQJcAmECaAJtAm4CagJgAlICQwI0AigCHwIYAhQCEAINAgoCBwIFAgUCBgIHAgcCBAH8AfAB4QHQAcABswGrAagBpwGpAaoBqAGkAZwBkwGKAYEBegF1AXEBbQFpAWMBXQFWAVABTQFNAVEBWQFjAW8BegGEAYoBjAGJAYMBegFwAWcBYQFeAWABZgFuAXkBhAGOAZcBoAGoAbEBuwHHAdMB3wHpAfIB9wH7Af0B/wICAgcCDgIWAh4CJgIuAjUCPQJHAlECXQJqAncCggKLApMCmAKeAqUCrgK6AscC1ALfAucC6wLsAuoC5wLmAucC7AL0Av8DCwMXAyMDLgM5A0MDTQNYA2MDbwN7A4cDkwOgA6wDtwPBA8gDywPKA8QDvAOxA6cDngOaA5kDnQOjA6sDswO5A7wDvQO8A7gDsgOrA6MDmwOUA40DhwOCA38DfQN7A3oDdwN0A3ADbANoA2UDYwNkA2YDaANrA2wDawNnA2ADVQNHAzYDIgMMAvQC3ALEAq4CmgKKAnwCcgJnAlwCTgI8AiMCAwHcAa4BewFDAQkAzgCTAFsAJf/z/8b/m/9y/0n/If73/sv+n/5z/kr+I/4C/eX9zf25/ab9lf2D/XH9X/1N/Tv9Kv0Y/QT87fzR/K78hPxW/CX78/vE+5r7dPtT+zX7Fvr1+tD6p/p6+kz6Hvnz+cz5q/mP+Xf5Y/lQ+T75Lfkb+Qj49vjk+NL4w/i1+Kv4pfij+KX4qviv+LL4r/il+JH4dfhS+Cr4AffY97L3j/du90/3MPcR9vD2zvas9or2afZI9if2BPXf9bf1i/Vd9S30/vTP9KH0dvRN9Cb0APPd87rzmvN881/zQvMm8wny6fLI8qbygvJg8j/yIfIG8fDx3PHK8bvxq/Gc8Y3xfvFu8V/xT/E/8S/xHvEO8P7w7/Dh8NTwyPC+8LbwsfCv8LLwuvDG8Nbw6vEA8RfxLvFE8Vrxb/GD8ZXxpvG08b/xx/HL8cvxy/HK8crxzfHT8dzx5vHx8fvyBPIN8hfyIvIw8kHyVfJr8oDyk/Kj8q7ytPK28rbytfK18rfyu/LD8s3y2/Lr8v3zEPMk8zjzSvNa82rzefOK853zs/PM8+f0AvQc9DH0Q/RQ9Fr0ZPRw9H/0kvSn9L701fTp9Pr1CfUY9Sr1QPVd9YL1q/XY9gf2NPZf9oj2r/bX9wH3Lfdd95D3xff8+DP4a/ii+Nr5EflK+YP5vfn5+jf6d/q7+wD7SPuQ+9f8G/xc/Jv82v0c/WT9tf4Q/nX+4P9Q/8AALgCWAPkBVgGtAf0CRgKEArYC2QLuAvkDAAMMAyUDVQOeBAEEeAT8BYIGAAZvBssHEwdLB3cHnAe8B9kH9AgNCCQIOwhVCHgIpgjjCSwJfwnVCicKbgqmCs8K6Qr8Cw0LIgtAC2YLlQvHC/gMIwxIDGUMfQyTDKoMxQzmDQ0NPA1wDakN5g4nDmwOtA79D0cPjw/TEBIQSxB/EK8Q3REJETYRYxGSEcIR8hIhEk0SdRKXErESwxLLEsoSwRKyEqISlBKLEooSkhKiErcSzhLiEvES+hL+Ev8TARMIExcTMRNVE4ITthPtFCMUVxSIFLcU5RUUFUQVdxWrFd4WDhY3FlcWbxZ/FogWjhaUFpwWqha8FtMW7RcIFyIXORdMF1wXaBdyF3sXhBeOF5gXpBewF74XzBfcF+8YBBgcGDUYUBhsGIUYnRixGMIY0RjfGO4Y/hkQGSMZOBlMGV0Zaxl1GXsZfhl/GYEZhBmKGZIZnBmnGa8ZtRm2GbIZqRmeGZMZiBmAGXwZfBl+GYEZgRl9GXIZYBlHGSkZCBjqGM8YuxitGKMYnBiUGIYYcBhRGCkX+hfHF5MXYRc0Fw4W7hbUFr0WqRaTFnsWXhY6FhIV5RW2FYgVXhU7FR8VCxT+FPMU6RTcFMoUtBSaFH4UZRRQFEEUNxQyFC4UKRQiFBYUBxP2E+UT1hPLE8ITuxOzE7cTqROUE3gTVhMvEwYS3BKxEocSXRI1Eg0R5xHCEaARgBFkEUsRNhEkERQRBhD5EOsQ3BDKELYQnhCDEGYQRxApEAsP7w/WD8APrQ+dD48PgQ9zD2MPTw83DxgO8Q7EDpEOWg4iDewNuQ2NDWcNRw0tDRUM/wzoDNAMtgydDIMMagxSDDwMJgwPC/gL4AvHC6wLkAtzC1QLMgsMCuEKsgp+CkcKDQnUCZsJZAkvCPwIzAieCHIISAgiCAAH4gfIB7IHngeNB3wHbAdcB00HPgcxByUHGgcQBwkHBQcDBwUHCAcOBxQHGAcYBxMHCAb5BugG1gbIBr0GuQa5Br0GwwbJBs4G0wbXBt0G5AbtBvcHAQcIBwkHAwb2BuEGxgaoBogGZwZIBigGCgXtBdIFuQWjBZMFhwWABXwFegV2BXAFZgVXBUQFLgUWBP8E6QTWBMYEuASuBKcEowSgBJwElgSLBHkEXQQ3BAcDzgOQA1ADEgLaAqsChgJsAl0CVwJZAmECagJ0AnsCfgJ6Am8CXAJCAiIB/QHWAa4BhQFfAToBFwD2ANgAvQClAI8AfABsAF0AUQBFADoALQAfAA7/+P/d/73/mP9w/0f/IP79/uD+yv66/q7+pP6Y/on+d/5i/kv+Nv4l/hn+E/4U/hr+JP4w/j3+Sf5R/lT+T/5A/iX9/P3I/Yz9Sv0J/Mz8mfxw/FH8Ovwn/BT7//vl+8j7p/uF+2P7Q/sm+wv68vra+sP6q/qS+nj6XfpC+iX6B/no+cr5rvmU+Xz5aPlY+Un5Pfky+Sf5H/kY+RP5EfkS+RT5F/ka+Rv5HPkc+R75IPkk+Sn5LPks+Sb5GfkG+O740/i4+KH4j/iD+H34evh6+Hz4fviC+Ij4kPia+KT4rPiv+Kv4nviL+HD4U/g2+Bv4BPfy9+P31PfE97L3nPeE92z3VvdD9zX3Lfcp9yj3Kfcr9yz3Lfct9yv3Kfcl9x/3F/cO9wP2+fbx9uz27fbz9v33DPcb9yn3M/c39zT3Kvcb9wn29/bo9tz21vbW9tz25fbx9v73C/cX9yD3Jvcq9yv3Kfcl9x/3GvcW9xX3Gfci9zH3Rfdc93T3i/eg97H3vffF98v3z/fT99j33/fn9/H3/PgJ+Bj4Kfg++Fb4cviP+K74y/jl+Pr5DPkZ+SX5Mfk++U75Yfl3+Y75pPm5+cr52Pni+en57vnx+fL58vnv+en54PnU+cX5tfml+Zf5jfmG+YX5ifmS+Z75rfm8+cv51/ni+en57fnx+fT5+Pn9+gX6DfoW+h76I/ol+iP6H/oa+hT6D/oJ+gX6APn6+fX58vnz+fz6EPox+mH6n/rp+zz7k/vr/EH8k/zi/Sz9cf2y/ez+H/5G/mL+cf50/m3+YP5R/kP+Of41/jj+Qv5Q/mL+d/6N/qX+v/7b/vn/Gf84/1j/df+P/6f/vP/P/+H/8wAHAB0ANgBSAHEAkgC0ANcA+gEdAT4BXgF8AZgBsQHIAdsB6QH0AfoB/QH8AfoB+AH2AfYB+AH9AgQCDwIdAi8CRQJfAn4CoALDAuYDCAMnA0IDWQNsA3oDggOEA3wDaQNIAxoC4AKfAl0CIQHyAdcB0gHhAgICLAJaAoQCpQK8AskCzwLSAtUC2gLhAuoC8gL3AvgC9ALtAuUC4ALfAuQC7wL+Aw4DHgMrAzQDOQM8Az0DQANGA08DXANrA3wDjgOeA60DuQPEA80D0wPZA90D4APjA+YD6gPtA/ED9QP3A/gD9gPzA+4D5wPiA90D2gPYA9cD1gPUA9ADyAO/A7MDpgOaA40DgQN2A2sDXwNTA0cDOgMsAx4DDwL+AuoC1AK8AqUCjwJ+AnICbAJrAmwCbAJqAmMCVwJHAjUCJAIWAgwCBwIFAgUCBQIDAgEB/QH6AfgB+AH4AfcB8wHsAeEB0wHEAbYBqwGlAaQBpgGpAawBrAGqAaYBoAGbAZcBlQGTAZIBjwGKAYMBeQFuAWQBXQFZAVoBYAFpAXYBhAGRAZ0BpgGqAakBowGZAYwBfwF1AW8BbwF0AX8BjAGcAasBugHIAdUB4gHvAf0CCgIWAiACJwIsAi8CMwI2AjwCRAJOAlkCYwJtAnYCfgKGAo0ClQKcAqQCqgKwArQCuQK+AsUCzwLbAukC9QL/AwUDBgMEAv8C+wL4AvoDAAMKAxkDKQM5A0gDVgNhA2sDdAN7A4MDiwOUA54DqgO4A8cD1wPmA/ID+gP8A/sD9QPuA+cD4wPkA+oD9QQCBBAEHgQpBDEENQQ2BDQEMAQpBCAEFgQKA/0D8APkA9oD0QPJA8MDvAO2A68DpwOgA5oDlQORA48DjgOMA4oDhgN/A3cDbQNiA1YDSAM6AyoDGgMIAvQC3wLIArECmAJ/AmUCSgItAhAB8QHRAa8BjAFoAUMBHgD5ANQAsACMAGcAQgAa/+//wf+P/1v/Jf7w/rz+jf5h/jr+Fv32/db9uP2a/X39YP1G/S79Gf0F/PD82/zB/KT8gPxZ/C78AfvV+6v7hPtf+zz7GPry+sj6nPps+jz6Dvni+bz5nPmC+W35W/lL+Tv5KvkY+QT48Pjc+Mj4tvio+J34l/iW+Jf4mvib+Jn4kfiB+Gn4S/go+AP33/e89533gPdl90r3LfcN9uz2yfam9oT2YvZB9h/1/PXW9az1f/VP9R707PS89I30YPQ19Azz5PO+85vze/Ne80PzKvMR8vjy3PK+8p3ye/JZ8jnyG/H/8efx0fG88ajxlfGC8XDxXfFL8TnxKPEW8QPw8fDf8M3wvfCv8KPwmfCR8Ivwh/CF8IfwjPCV8KLws/DH8N3w9PEL8SHxNfFI8VnxafF38YPxjfGT8ZjxmvGb8Z3xoPGk8arxsfG48b/xxfHL8dHx2fHk8fLyA/IX8ivyP/JR8l/yavJy8njyfPKA8oXyi/KU8p7yq/K78szy3vLw8wDzD/Ma8yTzLfM380bzWfNy84/zsPPP8+z0A/QT9B/0J/Qw9Dz0TfRj9H70m/S49NX08PUM9Sj1SPVt9Zf1xfX09iT2UPZ59p72wfbk9wj3L/db94z3wPf2+C74Zvif+Nj5EvlO+Yr5x/oE+kL6gfrA+wD7P/t/+777+vw2/HD8qfzk/SL9Zf2w/gL+XP6+/yT/jv/6AGUAzwEzAY8B3wIfAk4CawJ4An4CggKRArMC7wNIA7sEQwTUBWQF5wZVBq0G7gccB0AHXgd7B5kHuQfbB/wIHghBCGgImAjSCRgJaAm8Cg8KWgqYCsYK5Qr3CwELCgsWCygLQAtcC3wLmwu4C9IL7QwIDCgMTgx8DLEM7g0wDXcNwQ4NDlwOqw78D0sPmg/kECkQaRChENQRAhEsEVURfxGpEdUSARIuElgSfxKgErkSyRLQEs0SwRKvEpoShRJyEmQSXBJaEl0SYxJrEnQSfBKEEo0SmxKuEsoS7xMdE1MTjxPNFA0UShSGFMAU+RUxFWkVoBXVFgYWLxZQFmcWdBZ5FnoWexZ/FooWnRa3FtgW+xcdFzoXUhdiF2wXcRdzF3QXdxd9F4gXlhepF78X2Rf1GBMYMhhQGG0YiBifGLMYxBjSGN8Y7Bj6GQsZHhkzGUkZXxl0GYUZkxmcGaEZpBmmGagZrBmzGbwZyBnVGeIZ7Rn1GfgZ9hnvGeUZ2RnNGcMZvBm5GbgZtxm0GawZnBmEGWMZPRkVGO8Yzxi4GKgYnhiYGI8YgRhrGEoYIRfxF74XjRdfFzcXFRb5FuAWyBavFpQWdBZPFicV/RXSFakVhRVmFU0VORUpFRkVBhTwFNYUuBSZFHwUZBRTFEoURxRIFEgURRQ9FC8UHBQHE/MT4hPVE80TxhPAE8QTthOjE4wTcBNQEy4TCBLgErQShRJUEiIR8BHCEZgRdRFaEUQRNBEmERkRChD4EOMQyhCvEJEQcxBVEDcQGxABD+oP1g/FD7gPrg+mD58PmA+OD38Paw9PDy0PBQ7XDqYOdA5DDhQN6A3BDZwNeg1YDTYNEwzuDMcMoQx7DFcMNQwYC/4L5wvRC74LqguVC38LZgtKCyoLBQrbCq0KeQpCCggJzAmRCVYJHAjkCK8IfAhNCCEH+QfWB7cHnQeGB3MHYQdSB0QHNwcsByIHGgcTBwwHBQb+BvYG8AbsBuwG7wb3BwEHDAcTBxQHDwcCBu8G2QbEBrMGpwaiBqMGqQawBrkGwQbJBtIG3AbnBvMHAAcLBxMHFQcQBwUG8wbdBsIGpAaEBmEGPQYXBfAFywWoBYoFcAVdBU4FRAU7BTMFKwUhBRYFCQT6BOsE2gTIBLYEpASSBIEEcgRkBFYESAQ3BCMECAPoA8EDlgNmAzYDCALcArYClQJ7AmgCXQJXAlgCXQJmAm4CdQJ3AnMCZgJRAjQCEQHqAcABlgFtAUcBIwECAOMAxgCrAJIAegBlAFEAQQAzACkAIAAYAA4AAP/q/83/pv94/0f/Fv7q/sj+sf6n/qf+rv63/r/+w/7D/r/+uv60/rD+rP6p/qX+nf6R/oH+a/5S/jT+Ef3p/bv9h/1N/Q/80fyY/Gb8P/wj/BD8A/v4++n71vu8+537e/tZ+zr7HvsG+vH63frI+rH6mfp++mP6R/or+g/58/nW+br5n/mF+W75W/lK+T35Mfkl+Rr5D/kF+Pz49vjy+PH48vjz+PP48/jy+PL48/j1+Pn4/fj++Pr48Pje+MX4qPiJ+G74WPhK+EP4RPhJ+FH4Wvhj+Gz4dPh8+IP4iPiK+Ib4fPhs+FX4Ofgb9/734vfJ97P3oPeO93v3afdW90P3Mvcj9xj3EPcM9wz3D/cU9xv3Ivcp9y/3Mfcw9yn3HPcK9vX23vbJ9rn2r/at9rL2v/bO9t726vbx9u/25vbX9sP2r/ae9pH2jPaO9pj2pva59s324fbz9wL3DPcT9xT3EfcJ9v728vbn9t/23Pbh9u73A/ce9zv3WPdy94j3mPej96r3r/e097r3wvfK99T33ffn9/L3/vgO+CH4OPhS+G/4jPin+L/40/jk+PL5APkO+R/5MvlG+Vz5cvmG+Zf5p/mz+b75xfnL+c35y/nE+bj5p/mT+X35aPlV+Ub5PPk4+Tr5QPlL+Vj5Z/l3+Yb5k/md+aX5qfmt+a/5svm3+b35xvnP+df53Pnf+d752/nV+dD5y/nG+cP5v/m7+bf5tPm1+b750fny+iL6YPqq+vz7U/ur/AH8Vfym/PT9QP2J/c3+Cf47/mD+d/6A/n3+c/5l/ln+UP5P/lT+X/5v/oP+l/6u/sX+3f73/xP/MP9N/2r/hv+g/7j/zv/k//kADwAmAD4AWQB0AJAArADJAOUBAgEeATsBWQF2AZIBrgHGAdwB7QH7AgUCDAIRAhYCGwIhAigCMQI8AkkCWAJpAn0CkwKrAsQC3QL1AwoDHAMtAz0DTgNjA3wDlgOvA8EDxwO6A5gDYgMbAs0CgAJAAhMB/wIEAh4CRgJ0AqACxALdAusC8QLzAvQC9gL7AwIDCQMOAxADDwMMAwoDCgMOAxcDIwMzA0IDUANaA2ADYgNjA2MDZANoA28DeQOFA5EDnQOpA7QDvQPHA9ED3APoA/MD/gQHBA4EFAQYBBkEGgQZBBcEFQQRBA4ECgQGBAID/QP4A/ID6gPgA9QDxgO4A6sDnwOXA5EDiwOGA30DcQNgA0oDMgMYAv8C6QLWAscCugKvAqYCngKXApICjQKKAoYCfwJ2AmgCVQJAAioCFwIHAf0B+QH5AfsB/QH+Af0B+gH2AfMB8QHvAe4B6wHlAd0B0gHFAboBsQGsAaoBrAGvAbEBswGyAbEBrwGtAawBrAGtAa0BqwGmAaABlwGOAYYBfgF5AXUBdAF1AXkBfwGIAZIBngGoAbABswGwAagBnQGQAYUBfwF/AYYBkwGkAbYByAHZAegB9wIEAhICIAIuAjoCRAJMAlECVgJbAmECaQJyAn0CiQKUAp4CpgKtArQCugLAAscCzQLTAtkC4ALnAvAC+wMGAxEDGwMhAyQDIwMfAxoDFgMVAxkDIgMwA0EDUwNlA3cDhgOSA5sDogOmA6kDqwOtA7EDuAPDA9ED4gP1BAYEEwQbBB8EHQQZBBUEEwQVBBwEKAQ3BEYEVgRjBG0EdAR5BHsEewR5BHQEbQRkBFkETAQ/BDMEJwQdBBMECgQBA/cD7APhA9YDzQPFA74DuAOzA64DqAOhA5kDkAOHA34DdQNsA2MDWgNPA0IDMgMfAwcC7ALOAq4CiwJpAkgCKQIMAfMB3QHKAbkBqgGbAYsBeQFkAUkBJwD/ANAAmwBiACf/7P+z/3z/Sf8Y/un+u/6M/lz+K/35/cj9l/1q/T/9Gfz2/Nb8uPyb/H/8YfxD/CP8Afve+7r7lftw+0n7IPr2+sn6mfpp+jj6Cvng+bz5n/mI+Xf5afld+U/5P/kr+RP4+fjf+Mb4sPif+JP4jPiK+In4iPiD+Hr4avhT+Db4Fvf099P3tfeZ94D3aPdQ9zX3GPb39tP2rvaJ9mX2Q/Yh9gD13fW49ZH1Z/U79Q303vSv9ID0UPQf8+/zwPOU823zSvMu8xbzA/Lx8t/yy/Ky8pfyePJY8jjyGvH98eLxyPGv8Zfxf/Fn8VDxOfEk8RDw/fDp8Nbww/Cw8J/wj/CB8HbwbvBo8GPwXvBb8FnwWPBc8GPwb/B/8JLwqPC+8NTw6fD88Q/xIPEx8UHxT/Fd8WjxcvF58X/xhPGJ8Y3xkvGX8ZzxofGm8avxsfG48cLxz/Hc8evx+vIJ8hXyIfIr8jTyPPJG8lDyXPJp8njyifKc8rDyxPLW8uXy8PL28vny+fL68v/zC/Mg8zzzX/OD86XzwvPX8+Xz7fP08/z0CvQf9Dv0XvSE9Kv00vT49R71RPVt9Zn1x/X39ib2U/Z89qH2xPbl9wj3LvdY94f3uvfw+Cf4X/iY+NH5DPlI+Yb5xvoH+kn6i/rN+w77TfuK+8X7/vw0/Gf8mfzJ/Pj9Kv1f/Zn93P4o/n/+4f9M/74AMgCjAQsBYwGoAdYB8QH8AgECCQIfAkwClgL+A4AEEwStBUAFxAYwBoMGvgbmBwQHHwc7B1sHgQeqB9MH/AgkCE0IewiwCO8JOQmLCeAKMQp4CrAK1QroCu0K6ArfCtkK2ArfCu8LBQshC0ILaAuTC8ML+ww6DH8Myg0aDWsNvg4QDmMOtQ8HD1oPrA/8EEkQkBDREQoRPRFpEZIRuBHfEgYSLxJYEn8SohK/EtUS4RLjEtsSyxKzEpYSdRJTEjISExH6EeYR2hHVEdkR5BH4EhMSNRJeEo8SxhMFE0gTkBPaFCQUbBSxFPIVLxVoFZ0VzhX6Fh8WPBZQFlsWXRZZFlIWThZQFlsWcBaOFrMW2hcAFyAXOBdIF1AXUxdSF1IXVBdcF2oXfxecF74X5RgOGDkYYhiHGKgYwhjWGOUY8Rj6GQQZDxkdGS4ZQRlVGWkZfBmLGZgZohmqGa8ZtBm5Gb8ZxRnOGdkZ5hn0GgMaEhoeGigaLBorGiQaGBoIGfgZ6RneGdcZ1RnTGc8Zxhm0GZkZdBlKGR0Y9BjQGLUYohiUGIkYexhoGE4YLBgFF9oXrxeFF18XPRcdFv8W4RbDFqQWgxZiFkEWIBX/FeAVwRWlFYoVbxVVFTkVHBT9FN0UvBSdFIIUbhRgFFkUVxRWFFQUTxREFDUUIhQOE/wT7RPhE9kT0xPNE9ITwhOtE5QTeBNaEzgTFBLrEr4SjBJYEiIR7hG+EZYRdhFeEU0RQBEzESQRDxD0ENQQsBCKEGYQRRAoEBAP/Q/sD98P0w/ID78Ptw+xD6oPow+ZD4oPdA9XDzMPCg7cDq4OgA5VDiwOBg3iDb0Nlw1vDUQNFgznDLcMiQxdDDUMEgvzC9gLwQusC5kLhQtwC1kLQAsiCwAK2QqtCnwKRwoOCdIJlAlWCRcI2gifCGYIMQf/B9MHrAeLB24HVwdDBzMHJQcZBxAHCQcEBwEG/wb+BvsG9wbwBucG3gbXBtUG1wbgBu4G/gcMBxUHFQcLBvkG4QbGBqwGmQaMBogGiwaTBp4Gqga1Br8GyQbTBt0G5gbvBvcG/Qb/Bv4G+AbuBt8GywayBpMGcAZHBhwF7wXEBZsFdgVWBTsFJAURBQEE8wToBN0E1ATLBMEEtASkBJAEeQReBEIEJwQMA/QD3QPJA7QDngOHA20DUgM2AxkC/ALhAsgCsAKbAokCewJwAmsCagJuAnQCewJ/An8CeAJqAlMCNQIQAegBvAGPAWQBOgETAO4AzQCuAJIAdwBeAEcAMgAhABMACQAC//v/8v/j/8z/q/+B/1D/H/7z/tH+vf66/sX+2/73/xL/Kf85/0L/Qv89/zL/I/8O/vP+0v6q/n7+Tv4c/ez9u/2L/Vr9Jvzw/Ln8g/xS/Cj8Cfv0++b73fvT+8X7sfuV+3P7Ufsv+xL6+vrn+tf6x/q2+qH6ifpv+lT6Ofof+gX56/nR+bb5m/mB+Wn5VflF+Tn5Lvkk+Rn5DPj++O/44fjV+Mz4xfjA+Lz4ufi3+Lf4uPi8+ML4yfjO+M74yPi5+KH4hPhk+EX4LPgb+BT4Ffgd+Cn4NvhB+Er4UPhU+Ff4WPhX+FT4TPg/+Cz4FPf599v3vPef94T3bPdW90T3NPcl9xr3EPcJ9wX3A/cE9wj3D/cX9yH3LPc29z33P/c89zH3HvcE9uT2w/ai9of2c/Zp9mn2cPZ99oz2mfai9qP2nfaR9oH2cPZh9lf2VPZY9mX2d/aN9qb2v/bV9uj29fb89vz29fbn9tT2vvao9pb2i/aK9pP2p/bD9uX3CPcq90j3YPdz94H3i/eT95v3oveq97D3tve898P3y/fX9+b3+vgR+Cv4Rvhf+Hb4i/id+K34vfjN+N/48/kI+R35MflE+Vb5Zfl0+YH5jPmT+Zf5lfmN+X/5bPlV+T75KPkW+Qn5AvkB+QT5C/kV+SD5Lfk6+Uj5Vflh+Wv5cvl3+Xv5ffmA+YT5ifmP+ZT5mPma+Zr5mPmV+ZH5jvmL+Yn5hvmB+X35evl7+YT5mPm6+ev6K/p3+sv7I/t8+9T8Kvx8/M39G/1n/a797v4j/kz+Z/52/nv+ef50/nD+b/50/n7+jP6c/rD+xP7b/vP/Df8q/0j/Z/+G/6L/vf/U/+r//wAUACoAQgBbAHYAkQCrAMMA2QDtAP8BDwEgATIBRwFeAXgBlAGxAc8B6gIDAhgCKQI3AkECSQJQAlgCYQJuAn4CkgKrAsgC5wMIAyYDPwNRA1wDXgNbA1cDVgNcA20DhgOlA8MD2QPfA88DqQNvAygC3gKaAmcCSQJCAlACbQKSArcC2ALwAwADCQMNAw8DEQMUAxcDHAMgAyMDJwMrAy8DNgM/A0kDVQNgA2oDcgN4A3wDfgOAA4IDhQOKA48DlAOaA54DogOmA6sDsgO8A8kD2gPsBAAEEgQhBC0ENAQ3BDYENAQyBDAELgQtBCwEKgQnBCIEHAQTBAcD+QPpA9cDxQOzA6QDmAORA40DiwOIA4IDdQNhA0cDKAMJAuwC1ALEAroCtgK1ArUCswKvAqgCoQKYAo8ChQJ5AmoCWAJCAioCEwH/AfEB6AHlAeYB6gHtAfAB8AHvAe4B7AHrAeoB6QHlAd8B1wHNAcIBuQGzAbABsAGxAbQBuAG7Ab0BwAHCAcQBxwHIAcgBxgHCAb0BuQG0AbABrAGnAaEBmgGRAYgBgQF/AYEBiQGUAaEBrAGzAbQBrgGmAZwBlQGUAZkBpQG2AcoB3gHxAgMCEgIhAjACPwJNAlsCZwJwAnYCewJ/AoMCiQKRApoCpQKxArsCxQLNAtUC3ALjAusC9AL+AwgDEwMeAykDMwM7A0IDRQNGA0MDPgM5AzUDNAM3Az8DSwNaA2sDfQOOA54DrAO4A8EDyAPLA8wDywPKA8kDzAPSA90D7AP+BBAEHwQqBDAEMAQuBCoEKAQpBC8EOQRFBFMEYARsBHYEfgSFBIwEkgSXBJoEmwSZBJUEjgSFBHsEcgRoBF8EVgRLBEAEMwQlBBcECQP+A/UD7gPrA+kD5wPmA+MD3wPZA9EDxwO9A7IDqAOdA5IDhQN3A2UDUQM5Ax0DAALiAsQCqAKOAngCZgJZAlACSgJGAkECOgIsAhYB9wHPAZ0BZgEqAO8AtwCDAFMAJv/6/8z/mv9j/yj+5/6j/l3+Fv3Q/Yz9S/0O/Nb8o/x3/FP8NPwa/AT77vvX+737n/t++1j7MPsE+tb6p/p4+kn6Hvn2+dX5u/mo+Zr5j/mD+XT5YPlF+ST5APjb+Lj4m/iG+Hj4cPhs+Gr4Zvhd+E/4Ofgf+AH34vfE96j3j/d592P3TPcz9xX29PbQ9qn2gvZd9jj2FvX09dP1sfWO9Wr1RPUe9Pb0zfSi9HT0Q/QP89nzo/Nw80TzH/MD8u/y4fLW8svyvfKq8pLydfJV8jTyFPH18djxvPGg8YXxavFO8TPxGPD+8Obwz/C58KXwkfB+8G3wXvBR8EfwP/A58DTwL/Aq8CbwI/Ai8CXwLfA48EjwWvBu8ILwlvCo8LvwzfDg8PTxCfEd8TDxQPFO8VnxYfFn8WzxcfF28XvxgfGH8Y7xlPGb8aPxq/Gz8bzxxPHN8dXx3vHn8fLx/fIL8hvyLvJC8lnycvKM8qfywfLZ8uvy9/L98vvy9PLt8ujy6vL28wzzKvNN82/zjvOk87LzuPO888HzzPPh8//0J/RW9Ib0t/Tl9RD1OPVg9Yf1sfXb9gf2MvZb9oL2qPbN9vP3HfdK93v3r/fm+B/4V/iP+Mb4//k5+Xb5tvn5+j/6hvrN+xT7WPua+9n8FvxO/IT8tfzi/Qv9MP1T/Xf9of3T/hH+Xv67/yP/kwAEAG4AyQERAUQBZQF5AYkBnwHGAgUCXwLVA2ED+gSWBSkFqwYVBmYGngbEBt8G9gcPBy4HUwd9B6oH1Qf/CCcIUAh/CLcI+wlKCaAJ+QpMCpEKxArgCucK3grKCrQKogqZCp0KrgrLCvMLIwtbC5oL4AwsDH8M1g0wDYsN5Q48Do8O4A8vD34PzRAbEGkQtBD7ETwRdxGrEdoSBRIvElgSgBKmEskS5xL9EwsTDhMIEvgS3xK/EpgSbBI7EgoR2RGuEYsRdRFsEXQRiRGsEdkSDRJHEoUSxhMME1YTpBP1FEYUlhTiFScVZRWZFcQV6BYDFhgWJBYqFigWIhYYFg8WCRYLFhYWKxZJFm4WlRa7FtwW9hcJFxUXHRckFysXNhdHF14XfBehF8sX+hgpGFkYhBiqGMoY4hjzGQAZCxkVGSEZLxlAGVMZZRl3GYcZkxmdGaUZqxmyGboZwxnNGdcZ4hntGfkaBBoQGhwaKRo1Gj8aRhpHGkIaNxonGhQaARnyGecZ4RnfGd4Z2hnPGbkZmhlyGUQZFhjsGMkYrRiZGIoYexhrGFUYOxgcF/kX0xetF4YXXxc3Fw8W5xbAFpwWexZfFkYWMBYbFgUV7BXQFbAVjRVqFUYVIxUCFOQUyRSwFJwUihR9FHIUaRRgFFYUSxQ9FC8UHxQRFAUT+xP0E+4T5xPfE9gTwhOnE4gTZxNDEx0S9RLKEpsSaxI5EgcR1xGtEYkRbBFXEUYROREqERYQ/RDcELYQjRBkEEAQIRAKD/oP7w/nD+EP2Q/RD8gPwA+5D7IPqw+hD5IPew9dDzYPCQ7ZDqcOeA5LDiMN/A3XDbANhg1XDSYM8wy/DI0MXww2DBML9gvdC8cLswufC4oLcwtZCz0LHQr6CtMKqQp6CkgKEgnZCZwJXQkdCNwInQhgCCYH8QfBB5cHcgdTBzkHIwcRBwQG+QbyBu0G6gbqBusG7QbuBuwG6QbiBtoG0gbMBsoGzgbYBugG+gcMBxgHHAcWBwUG7AbOBq8GlAaBBnYGdAZ6BoQGkAacBqcGrwa0BrgGvAa/BsMGxwbNBtEG1QbWBtMGyga7BqMGhQZfBjYGCQXcBbEFigVmBUYFKQUQBPoE5gTWBMgEvQSyBKYEmASGBG4EUQQwBAwD6QPHA6kDjgN4A2UDUwNDAzMDIgMSAwMC9QLnAtsCzgLCArYCqQKdApMCjAKHAoUChQKGAoYCgwJ8Am4CWQI9AhoB8QHDAZMBYgEzAQYA3QC4AJcAeQBeAEQALAAWAAT/9v/r/+T/3f/U/8P/q/+J/2D/Nf8M/u7+3v7f/vD/D/80/1n/eP+N/5X/kf+B/2f/Rf8c/u3+uv6D/kv+E/3f/a39f/1T/Sb89/zF/JD8XPwr/AL74/vN+8D7t/ut+5/7ivtt+0z7KvsL+vD63PrN+sL6t/qp+pf6gvpq+lH6N/oe+gX57PnR+bb5mvl++WX5T/k9+S/5I/kW+Qj49vji+Mz4tvii+JL4hfh8+Hf4dPh0+Hb4eviB+Iv4lfie+KP4ofiX+IT4avhN+C/4FfgC9/f39vf8+AX4EPga+CH4Jfgn+CX4Ivge+Bj4DvgB9/D32vfA96T3hvdo9033NPcf9w73Afb39vH27vbt9u/28/b49v/3CPcS9xz3J/cw9zb3N/cx9yP3DPbv9sv2pfaB9mD2R/Y29i/2L/Y19j/2SPZQ9lP2UvZN9kX2PPY09i/2L/Y19kD2UPZk9nn2jvag9q/2uPa69rT2p/aU9nz2YvZJ9jX2KPYl9i32QPZc9n/2pPbK9u33Dfcn9z33Tvda92T3a/dv93H3cvd093f3fPeG95X3qPe/99j38vgK+CL4N/hL+F/4cviG+Jz4sfjH+Nz47/kB+RL5Ifkw+T75SvlU+Vn5WPlS+UT5M/ke+Qn49/jq+OL44Pji+Of47fj1+P35BvkQ+Rv5KPk1+UH5S/lT+Vj5Wvlb+Vv5XPlc+V35Xvle+V75Xflc+Vz5XPlc+Vv5WflW+VP5UflU+V75dPmZ+cz6Dvpb+rH7C/tm+8D8F/xs/L39C/1T/ZX9z/3//iT+Pf5O/lr+Yv5q/nT+gv6T/qb+u/7Q/uf+/v8Y/zX/Vv94/5z/vv/e//kADwAhADAAPgBOAGAAdgCQAKwAyADjAPwBEAEgASwBNQE8AUMBTQFZAWsBggGdAbwB3QH+AhwCNgJKAlkCYwJqAm8CdAJ+AowCoAK8At4DBAMsA1IDcwOLA5gDmgOTA4YDegNzA3UDgQOXA7ADxwPVA9QDwgOeA20DNgL/AtICsgKiAqICrQLBAtgC7wMCAxIDHQMkAykDLAMuAzADMgM1AzkDQANJA1QDYANsA3YDfgOFA4kDjAOQA5QDmgOhA6kDsQO4A70DwAPAA74DuwO4A7gDvAPFA9QD5wP+BBUEKgQ7BEcETARNBEkERARABDwEOwQ6BDoEOQQ2BDAEKQQfBBMEBwP4A+kD2APIA7gDqgOeA5YDjwOIA34DbwNbA0EDIwMGAuwC2ALMAsgCxwLIAsYCwAK1AqYClgKIAnwCdAJuAmYCWwJLAjUCHAIDAe0B3AHUAdIB1gHcAeIB5gHoAegB5gHkAeMB4QHfAdoB1AHMAcIBuQGyAa4BrgGwAbYBvQHEAcwB0gHYAd0B4AHgAd8B3AHXAdMBzwHNAcsBywHJAcUBvQGxAaQBlwGMAYcBiQGQAZsBqAGyAbgBuQG2AbEBrgGvAbUBwgHUAegB/gISAiYCNwJIAlgCaAJ3AoUCkQKZAp8CogKjAqUCqQKvArgCwwLQAtwC6ALzAvwDBQMOAxcDIgMvAz0DSwNYA2QDbQNyA3MDcANqA2MDXANWA1QDVgNcA2YDcgOAA44DmwOmA7EDuwPEA80D1QPbA+AD4wPlA+YD6QPuA/YEAgQPBB0EKgQzBDgEOQQ4BDYENgQ4BD4ERgRRBFsEZQRtBHQEegSABIgEkQSbBKYErwS2BLsEvQS7BLgEswStBKcEoASXBIwEfgRuBF0ETAQ9BDIELAQrBC8ENgQ/BEcETARMBEYEOwQsBBkEBgPyA+ADzwPAA7EDogOSA4EDbwNbA0UDLwMYAwEC7ALaAssCvwK3ArECqQKeAowCcAJLAh0B6gG0AYABUAEnAQIA4QC+AJgAawA1//f/sv9m/xb+wv5r/hP9uf1g/Qv8vfx6/ET8Gvv9++r73PvP+8D7rPuS+3L7Tvsl+vr6zvqi+nf6T/or+g359vnl+dj5zPm++av5j/lq+T75Dfjd+LD4ivhu+Fv4UPhJ+EP4Ovgt+Bn4Affm98r3r/eX94L3bvdb90f3LvcR9u/2yfah9nn2U/Yu9gv16vXJ9aj1hfVi9T71GvT39NT0sPSK9GD0MfP988XzjfNX8yjzA/Lo8tfyzPLG8r/ytPKj8ozybvJL8ifyAvHf8b7xn/GC8WXxSPEq8Qzw7fDP8LLwl/B/8GjwVPBC8DHwI/AW8AzwA+/97/fv8+/w7+3v7O/t7+/v9e//8AvwGfAq8DvwTfBf8HHwhfCa8LHwyfDh8PjxDPEd8SrxNPE78UDxRfFL8VLxWvFj8W3xdfF98YTxifGO8ZLxlfGZ8Z3xo/Gr8bXxwvHS8ebx/fIY8jbyV/J68p7ywPLg8vvzDfMX8xfzD/MD8vjy8fLy8v3zEvMs80nzZPN484TzivON85HznPOy89Pz//Qz9Gr0ofTT9QD1J/VJ9Wr1i/Wu9dL1+fYh9kr2c/ad9sj29/cp9173l/fS+A34SPiB+Ln48fkp+WT5ovnk+ir6c/q9+wf7UfuZ+9/8I/xm/KX84f0Y/Uf9bf2M/ab9vf3Y/fz+Lf5t/rv/Ff9z/88AIwBqAKMA0AD4ASABUwGWAe4CXALeA24EBgSdBSkFpAYKBlgGjwa0BswG3gbxBwoHKQdRB30HqgfXCAIIKwhXCIgIxAkLCV4JuAoRCmMKpArQCuQK4grRCrgKnwqOCooKkwqrCtALAAs4C3kLwgwUDG4Mzg0zDZoN/w5fDroPDg9cD6cP8BA5EIIQzBEVEVwRnxHfEhoSURKEErMS3hMDEyITOBNFE0kTQhMzExoS+hLTEqQScBI2EfsRwhGQEWsRVhFUEWYRiRG4EfESLRJqEqYS5BMkE2gTsxQEFFgUrRT8FUMVfRWqFcoV3RXnFeoV6BXiFdkV0BXHFcAVvxXEFdMV6hYJFi0WUxZ5FpoWtxbPFuQW9hcJFx0XNhdUF3YXnBfHF/QYIhhOGHkYnhi+GNcY6xj6GQcZFBkiGTQZSBldGXMZhhmWGaMZrBmzGbkZwBnJGdMZ4BntGfsaBxoSGhsaIxoqGjEaNxo+GkQaSBpJGkYaPRowGiAaDhn+GfIZ6RnkGeAZ2xnPGbwZnxl6GU8ZIhj4GNQYuBijGJQYhxh6GGoYVRg7GB0X+hfTF6gXeRdHFxMW4BavFoUWYxZJFjYWKBYaFggV8RXTFa4VhhVdFTYVFBT4FOIU0BTBFLMUpBSVFIYUdRRlFFUURRQ4FCwUIhQbFBQUDxQKFAIT+RPrE8sTrhONE2kTQRMXEuoSvRKOEl8SMBIBEdQRqRGBEV4RQBEnERQRBBD2EOUQ0RC3EJkQeBBXEDgQHhALD/4P9Q/uD+gP4Q/ZD9EPyw/GD8MPwA+5D6sPkw9vD0EPCg7ODpIOWQ4mDfgNzg2mDX0NUQ0iDO4MugyGDFYMKwwIC+wL1gvFC7YLqAuXC4MLagtMCykLAgrZCqwKfgpNChoJ5AmrCW4JLwjuCK0IbggyB/sHyQedB3YHVAc4Bx8HCwb8BvEG6gbmBuYG5wbpBuoG6wbpBuYG4AbaBtMGzgbLBswG0QbcBuoG+gcJBxQHGAcTBwQG7QbQBrAGkwZ7BmsGZAZmBm0GeAaDBosGkQaTBpIGjwaLBokGiQaMBpEGmAaeBqIGoQaZBokGcgZTBi8GCAXiBbwFmgV8BWEFSAUxBRsFBgTzBOAEzwS+BKwElwR/BGMEQgQeA/kD1QOzA5QDewNlA1IDQQMyAyMDFQMIAv0C9QLwAu0C6gLnAuIC2gLPAsECsgKjApYCiwKDAn4CegJ2AnACZQJTAjoCGAHvAb8BjAFXASMA8wDIAKEAgABiAEYALAAU////7f/g/9f/0f/J/73/qf+N/2n/Qf8c/v/+8f70/wj/Kf9R/3f/lf+m/6b/lf91/0r/GP7h/qn+cf46/gf91/2r/YP9XP01/Qr83Pyo/HH8OvwH+9z7u/ul+5f7jvuF+3n7ZvtM+y77D/ry+tv6yfq++rX6rvqk+pb6hPpu+lb6PPoi+gj57fnR+bT5lvl5+V35Rfkv+Rv5CPj1+N/4xvir+I/4dfhf+E74Qvg9+Dz4P/hD+En4UPhY+GH4avhz+Hj4efhz+Gf4VPg8+CL4Cvf19+f33/fe9+L36Pfv9/b3+vf79/r39vfv9+X32PfH97L3mvd/92T3SPcu9xf3A/bz9ub23fbW9tL20PbR9tL21vba9uD26Pbw9vr3A/cM9xH3EvcN9wH27PbQ9q/2ivZm9kT2J/YR9gH1+PX09fX1+PX99gL2BvYJ9gv2C/YM9gz2DvYS9hn2IvYt9jj2Q/ZK9k72TPZE9jf2JfYQ9fr15PXT9cf1wvXG9dH15fX/9h72P/Zi9oT2pPbC9tz28fcC9w73FfcX9xf3FPcS9xP3F/ch9y/3Q/da93T3jvep98L32/fz+Az4JPg9+FX4bfiD+Jj4qvi7+Mr42Pjm+PT5AvkN+RT5FvkS+Qn4+vjq+Nn4zPjD+MD4wvjI+NH42vjj+Ov48/j8+Qf5Evkf+Sv5Nvk++UL5Q/lB+T35Ovk3+TX5NPk1+Tb5N/k6+T35QPlE+Uj5SvlM+U35T/lV+WL5efmc+c36CvpT+qT6+vtT+6z8A/xX/Kf88v01/XH9ov3I/eX9+v4J/hf+Jv46/lL+bv6O/q/+0f7y/xP/NP9X/33/pf/O//YAGgA4AE8AXwBpAG8AdQB9AIoAnACzAM8A7AEKASUBPgFSAWEBbAFzAXgBfAGCAYoBlwGoAb4B2AHzAg4CJwI8Ak0CWQJjAmsCdAJ/Ao4CoQK5AtYC9wMcA0EDZAODA5sDqQOvA64DqAOgA5sDmwOiA60DuQPEA8kDxQO3A6ADgwNjA0QDKgMXAwsDBgMHAw4DFwMjAy8DOwNGA00DUwNVA1YDVgNYA1wDZANvA3wDigOWA58DpQOpA6wDrwO0A70DyAPVA+ID7gP4A/4EAAP/A/wD9wP0A/MD9QP8BAcEFwQpBDwETQRaBGEEYgReBFcETgRHBEIEPwQ9BDsEOAQzBC0EJQQfBBkEFAQQBAsEAwP4A+oD2APFA7MDoQOQA38DbANXAz8DJQMNAvkC6wLjAuAC3gLcAtQCxQKwApkCggJwAmYCYwJlAmcCZQJbAkgCLgIQAfQB3QHQAcsBzgHVAdwB4AHhAd4B2QHTAc8BzAHLAckBxgHBAbsBtAGwAa0BrwG0Ab0BxwHRAdoB4gHoAesB7AHqAecB4gHdAdcB0gHOAcwBywHKAckBxQHAAbkBsgGrAacBpwGrAbEBuAG/AcMBxQHFAcQBxQHJAdEB3QHsAf4CEQIkAjcCSAJaAmwCfQKNApwCqAKwArUCuAK5AroCvgLEAs4C2wLqAvoDCQMWAyIDLQM3A0MDUANeA20DfQOLA5YDnQOfA50DlwOOA4YDfwN7A3wDgQOJA5QDngOoA64DswO1A7gDuwPAA8kD0wPfA+wD+AQDBAwEFAQbBCIEKgQyBDkEPwREBEYERwRHBEgETARSBFsEZQRwBHoEgQSFBIcEiASJBI0ElASeBKwEuwTJBNYE4ATnBOoE6wTrBOkE5QTfBNYEyAS3BKIEjAR3BGUEWgRXBFwEaAR4BIkElwSfBKAElwSIBHIEWAQ9BCMEDAP3A+QD1QPHA7sDrwOiA5MDgQNsA1MDNwMbAwAC6QLWAscCvAKxAqICjgJxAk0CIwH2AcwBpQGFAWkBUAE2ARcA8ADAAIgARwAB/7T/Yv8K/qv+Rv3e/XX9Efy3/G38NfwO+/b76fvi+9r7zfu7+6H7gftc+zT7Cvrg+rf6kfpv+lP6PPoq+hv6DPn5+eD5vvmS+V/5KPjw+L74k/hx+Ff4RPg0+CX4E/f99+T3yPes95L3e/do91n3Svc69yb3DPbs9sf2nvZ09kz2JvYD9eP1w/Wj9YH1XfU59RP08PTN9K30jPRp9EL0FvPk863zdvNC8xTy8PLW8sbyvfK48rPyqvKa8oLyYvI88hLx5vG88ZTxb/FO8S7xD/Dw8NDwsPCP8HDwU/A58CLwDu/87+3v3u/Q78Tvue+x76zvqe+q76zvsO+277vvwu/K79Tv4O/t7/7wEPAk8DrwUvBr8IXwn/C58NDw5fD18QLxC/EQ8RXxGfEe8SbxL/E58UTxTvFW8VzxYPFi8WPxY/Fk8WbxafFv8XjxhPGU8ajxwfHd8f/yJPJM8nbyoPLH8unzA/MU8xrzF/MN8wHy9vLw8vPy/vMQ8yXzO/NM81jzX/Nk82vzePOO87Dz3PQQ9Ef0fPSu9Nn0/fUd9Tr1VvV19Zb1u/Xi9gv2NvZk9pP2xfb79zX3cfew9+/4Lvhs+Kj44/ke+Vr5mPnZ+h36Y/qr+vT7PfuG+8/8Gvxl/LH8/P1C/YH9tv3f/fv+D/4f/jH+Sf5t/pz+1/8Y/1z/nv/cABYAUACNANMBJwGKAf4CgAMLA5sEKgSyBS4FmwX2Bj0GcgaVBqsGugbIBtwG9wcdB0wHgAe1B+gIFghCCG8IoAjbCSEJcQnICh0KaQqlCswK3QrbCs0KuQqmCpsKmwqnCr4K4QsOC0YLiAvWDC8Mkw0ADXIN5A5TDroPGA9tD7sQAxBJEI8Q1hEgEWsRtxIBEkkSixLIEv0TKRNME2UTdBN5E3UTaRNVEzkTFRLpErUSehI6EfkRvRGLEWoRXRFnEYURsxHtEioSaBKhEtcTDBNDE4ATxRQTFGYUuRUGFUgVexWdFa8VsxWvFaYVmxWRFYkVhBWDFYUVjRWbFa8VyxXsFhAWNxZcFn4Wnha6FtUW8BcNFy0XUBd3F6EXzBf5GCUYTxh3GJsYuhjTGOcY9xkEGRIZIBkyGUUZXBlyGYgZmxmrGbcZwRnKGdIZ3BnnGfMaABoMGhcaIRooGi4aMxo3GjoaPBo+Gj8aPxo9GjgaMRonGhoaDBn+GfAZ5BnaGc8ZwxmzGZ0ZgRleGTgZERjtGM4YtximGJoYkRiHGHoYaBhSGDUYFBfsF78XjBdUFxoW4BaqFnwWWBY+FiwWHhYQFf4V5BXCFZkVbBU/FRcU9xTeFMwUvxS1FKsUnhSQFH8UbhRdFE4UQhQ5FDMULhQqFCUUHhQVFAgT+BPjE68TkBNuE0cTHRLuErwSiRJWEiQR9BHGEZoRbhFEER0Q+RDcEMYQuBCwEK0QqhCkEJoQihB1EF4QRxAyEB8QDxABD/YP6w/jD90P2g/bD9wP3A/WD8UPpw96Dz8O+w6yDmoOJw3sDboNjg1nDUENGAzsDL0MjAxbDC4MBgvmC80LuwuvC6ULmwuOC30LZQtGCyEK9wrJCpgKZgozCf8JyQmQCVQJFQjUCJMIVAgZB+MHsweJB2UHRQcqBxMHAQb0BuwG6QbrBu8G9Qb5BvoG+AbyBusG4wbbBtUG0gbRBtQG2QbhBuoG9Ab9BwMHBQcABvQG4AbHBqsGjgZ2BmQGWgZYBl0GZQZtBnQGeAZ3BnIGagZhBlgGUgZOBk4GUQZVBlkGWwZYBk8GPwYpBg4F8AXTBbcFngWIBXYFZQVUBUMFMQUeBQkE8wTcBMQEqgSOBG8ETwQuBA0D7QPPA7QDmwOFA3EDXQNLAzkDKQMcAxIDDQMLAwwDDwMQAw8DCAL9AusC1gK9AqUCjwJ9Am8CZQJeAlgCUAJEAjICGAH2Ac0BnQFqATcBBADWAKwAhgBkAEYAKwAT////7v/h/9j/0f/H/7n/o/+E/1//Nv8Q/vX+6f7v/wf/K/9V/3r/lP+c/5D/cf9D/wv+zv6S/lj+JP30/cn9ov19/Vj9M/0L/N78rfx4/EH8C/vb+7P7lvuC+3b7b/to+177Tvs4+x77A/rp+tP6wvq1+qz6pPqa+o36ffpo+lH6N/oc+gD55PnH+an5jPlv+VL5N/kc+QL45/jK+K34jfhv+FL4Ofgm+Br4FPgV+Br4Ivgq+DL4OPg9+EH4RPhG+Ef4RvhC+Dv4L/gf+Az39/fj99H3w/e697b3t/e798L3yPfO99H3z/fI97z3q/eU93r3XvdB9yb3DPb39uT21vbK9sH2uva19rH2rvas9qz2rfav9rP2uPa/9sf20fba9uH25fbj9tv2y/az9pb2dPZR9i32DfXw9dj1xfW49bD1rfWv9bX1vfXG9c/11vXb9d713vXe9d/14PXh9eP14/Xg9dn1zvW99ar1lPWA9W71YvVb9Vv1YvVu9X/1lPWr9cT13vX59hX2MvZO9mj2gPaT9qH2qvau9q32q/ao9qj2rPa09sL21Pbr9wT3H/c791j3dfeS97D3zffq+AX4Hvg1+Er4W/hr+Hr4iPiX+Kb4tfjC+M340/jT+M74w/i1+Kb4mviS+I/4k/ic+Kj4tfjD+ND43fjp+Pb5A/kQ+Rv5Jfkr+S35LPkp+ST5IPke+R75H/ki+Sf5LPkz+Tr5Q/lM+VX5Xvlm+W35dfl9+Yr5nvm5+eD6EPpL+o761/sk+3T7xfwV/GL8qfzq/SH9Tf1u/YX9lf2g/az9vP3R/e/+FP4//m3+nv7P/wH/M/9l/5j/y//8ACgATwBuAIQAkgCZAJ4AoQCnALIAwgDYAPEBDgErAUgBYwF8AZMBpgG1AcEBygHQAdUB2gHhAekB8wH/Ag0CGwIqAjkCSgJbAm4CgwKYAq4CwwLXAusC/gMSAykDQgNeA3sDlgOuA8ADywPQA88DzAPIA8UDxAPGA8gDygPJA8YDvwOzA6UDlQOEA3MDZANYA1ADTwNSA1oDZANwA3sDggOHA4kDigOMA5ADlwOhA64DuwPGA88D1gPcA+ID6QPzA/8EDQQbBCgENAQ8BEIERQRHBEkESQRKBEsETAROBFIEWARgBGgEcAR1BHYEcgRrBGEEVgRNBEYEQQQ9BDkENAQtBCUEHgQZBBgEGwQfBCMEJAQfBBID/wPmA8sDsAOXA4EDawNWA0EDLQMZAwkC/QL2AvMC8ALqAt8CzQK2ApsCgwJyAmgCaAJsAnACbwJlAlACMgIQAfAB1gHHAcIBxQHMAdIB0wHPAccBvQGzAa4BrAGtAbEBtAG1AbUBswGyAbQBuAHAAcoB1QHeAeUB6QHpAegB5QHiAd8B3AHYAdMBzgHIAcMBvgG6AbkBuQG7Ab8BwwHJAc4B0gHWAdkB2gHbAdoB2QHZAdkB2wHfAeUB7QH2AgECDAIZAicCNwJIAloCbAJ/Ao8CnAKmAq0CsgK1ArkCvwLHAtMC4gLzAwUDFgMnAzYDRQNTA2EDcQOBA5EDoQOuA7cDvAO8A7kDswOsA6YDpAOlA6sDtAO+A8gD0APUA9UD0wPPA80DzQPRA9sD6gP8BBAEJAQ2BEUEUQRaBGAEZARnBGgEaQRqBGoEagRsBHEEeASDBJEEoASvBLsExATIBMcEwgS8BLYEtAS3BL4EygTYBOYE8wT9BQUFCQULBQwFCwUIBQIE+AToBNMEugSfBIYEcgRlBGIEZwRzBIMEkgSdBKIEnwSVBIUEcARZBEAEKAQRA/sD5wPUA8QDtQOnA5gDhwNxA1cDOAMWAvMC0gK3AqICkwKJAn8CcgJgAkcCKAIGAeMBwwGoAY8BeQFgAUMBIAD0AMIAigBOAA3/yP97/yf+yP5i/fb9i/0n/ND8ivxY/Df8I/wY/BD8Bfv1+9/7wvue+3f7Tfsh+vb6zvqo+oj6bPpU+j/6KfoQ+fH5y/mf+W35OfkG+Nb4q/iG+Gb4Svgv+BP39ffW97X3lfd39133R/c39yn3HfcP9vz24/bE9p/2dvZL9iL1+/XY9bf1mPV59Vj1NvUS9O/0zfSt9I30bvRM9CXz+vPJ85TzX/Ms8wHy3vLG8rfysPKs8qjyn/KQ8nfyVvIs8fzxyvGX8WbxOvES8O7wzfCt8I3wbfBM8C3wD+/0793vyO+276Xvle+F73bvau9g71zvXe9j72vvdu+A74nvke+Y75/vqO+178bv2+/08A/wLPBJ8GXwgPCZ8K/wwvDR8Nzw4/Do8Ovw7vDx8Pbw/vEG8Q/xGPEg8SXxJ/Eo8SfxJvEm8SfxKvEw8TjxQ/FS8WTxevGV8bTx1/H+8ijyUfJ68p7yvPLS8uDy5PLi8t3y1vLT8tXy3fLr8vvzDPMb8yfzMPM480LzUfNo84fzr/Pb9Av0OfRk9Iv0rvTN9Oz1C/Ut9VH1ePWh9c31+vYp9lv2kPbI9wP3QveE98f4C/hP+JL41fkY+Vv5nvnh+iT6Z/qq+uz7L/ty+7n8BPxU/Kj8//1V/aX97P4l/k/+a/5+/ov+mP6p/sL+4v8I/zH/Xf+L/7//+wBFAKABDgGMAhYCpwM4A8IEQwS3BR0FdgXBBf4GLQZQBmgGegaKBp4GuwbjBxcHUweSB88IBgg1CF4IhwizCOgJKAlzCcUKFgpfCpoKwwrZCuAK2wrPCsQKvQq+CscK3Ar8CygLYQuoC/0MXwzMDUANtg4rDpsPAg9hD7UQAxBLEJIQ2hEkEXIRwhISEmASqRLpEyATShNqE38TihONE4kTfhNrE1ATKhL6Er8SfBI0Ee8RsRGDEWoRaRGAEawR5xIpEm0SrRLnExwTThOCE7wT/BRDFI0U1BUUFUYVZxV5FX0VdhVrFV8VVRVRFVIVWBViFXAVgRWXFbEVzxXxFhYWOxZgFoQWphbGFuUXBRcmF0oXcBeYF8IX7BgXGEEYahiQGLMY0RjqGP8ZDxkcGSgZNBlCGVMZZBl3GYoZmxmqGbgZxhnTGeAZ7Rn5GgQaDBoTGhcaHBohGiYaLRozGjkaPRo9GjoaNBosGiEaFhoJGfwZ7xngGdIZwxm0GaQZkxmAGWoZTxkyGRIY8xjXGL8YrRigGJcYjxiGGHoYaRhTGDgYFxfxF8YXlRdfFycW8Ba8Fo8WaxZPFjsWKRYXFf8V3xW3FYkVWRUpFP4U2xTAFKwUnRSRFIcUexRvFGMUVxRNFEUUPxQ8FDkUNhQwFCgUHBQME/kT4xPKE5ETdRNXEzMTCRLaEqcScRI7EgYR1BGkEXQRRREVEOgQvxCeEIgQfxCDEJAQohCyEL0QvxC3EKYQjxB0EFoQQRArEBgQCQ/9D/YP8g/xD+8P6Q/bD8IPmQ9iDx4O0g6DDjcN8g22DYMNWQ0zDQ8M6gzDDJsMcQxIDCEL/gvhC8oLuAurC6ILmAuNC30LZgtICyIK9grECo8KWgojCe0JtQl7CT8I/wi+CHwIPAgAB8oHmgdxB00HLwcVBv8G7wbkBt8G4QboBvIG/AcDBwYHBAb+BvUG6wbkBt4G3AbcBt4G4QblBukG7AbwBvIG8gbuBuUG1Qa/BqUGiwZyBl8GUwZPBlAGVgZcBmAGYQZeBlYGSwY+BjAGJAYaBhMGEAYOBg8GDwYNBgkGAAXyBeEFzgW6BacFlgWIBXwFcAVlBVgFSAU3BSIFCwT0BNoEwASmBIsEcARVBDkEHwQEA+oD0QO4A58DiANyA2ADUQNHA0EDQANBA0QDRgNFA0ADNQMkAw0C8gLUArUCmAJ/AmkCVwJHAjoCLAIdAgoB8wHXAbUBjwFlATkBDADgALYAjwBrAEsALwAXAAP/9P/p/+D/1//K/7b/mf90/0n/Hf74/t/+2f7m/wT/Lf9Y/3z/j/+O/3f/Tf8U/tX+lP5X/iD97/3E/Zz9dv1P/Sb8+vzL/Jn8Zvwz/AP71vuw+5P7fftv+2b7X/tY+077QPst+xf6/vrm+s/6u/qp+pr6i/p9+m36W/pH+jH6Gfn++eP5yPms+ZH5dvlb+T/5IvkF+Ob4xfik+IL4YvhF+Cv4FvgH9/73+vf8+AH4CPgP+BX4Gfga+Bj4FfgQ+Az4B/gD9/73+ffw9+X31vfE97H3n/eP94T3f/d/94X3jPeV95r3m/eW94r3dvdd90H3IvcE9un20fa89qz2oPaV9o32hvaA9nz2efZ49nj2evZ+9oP2ifaQ9pj2ovar9rT2u/a99rn2rfab9oH2Y/ZB9h31+vXY9br1n/WK9Xv1cfVu9XH1efWC9Yz1k/WX9Zj1lvWS9Y31ifWG9YL1ffV19Wn1WfVF9S/1GvUH9Pr08/Tz9Pn1BfUV9Sf1O/VP9WT1efWP9ab1vvXX9e/2BvYZ9ij2MfY39jn2OfY59jr2PvZH9lP2ZPZ49pD2q/bJ9uj3Cfcr90z3bfeM96n3xPfc9/L4BvgY+Cn4OvhK+Fr4a/h6+Ij4kviW+JT4i/h9+G34XvhS+Ev4TPhT+GD4cfiD+Jb4qPi6+Mv43Pjs+Pn5BPkM+Q/5EPkP+Q75DvkQ+RT5G/kk+S75OPlD+U75W/lp+Xf5hvmU+aH5rPm2+cH5zvnf+fj6F/o/+m/6pvri+yL7Zvuq++78L/xq/J38xvzk/Pj9A/0I/Q39FP0j/Tv9Xv2L/cH9/v5A/oT+yP8M/07/jv/KAAAAMABYAHgAkQCkALMAwQDQAOIA9gENAScBQQFcAXcBkQGqAcMB2wHyAgcCGAIlAi4CMwI0AjQCMgIwAjECNAI7AkgCWgJyApACsALRAvADCgMdAykDLwMyAzcDQANQA2cDhQOmA8YD4QP0A/4EAAP7A/MD6wPkA+ED4QPjA+cD6gPrA+gD4APUA8QDsgOhA5IDiAOFA4YDjQOXA6IDrAO0A7sDwAPFA8wD1QPgA+sD9wQCBAwEFgQfBCkENQRCBFAEXARnBG4EdAR3BHsEfwSEBIsEkgSYBJsEmwSYBJQEjwSLBIkEiASHBIQEfgR1BGoEXgRUBEwERgRDBEAEPAQ1BC0EJQQfBBsEGwQdBCAEHwQZBAwD9wPeA8IDpwOPA3sDaQNZA0kDOQMpAxoDDgMGAwEC/QL4Au8C4ALNArcCogKRAoUCfwJ8AngCbQJZAjsCFwHyAdABuAGrAagBrQG0AbkBtwGwAaQBlwGMAYcBiAGPAZkBowGrAa8BsgG0AbcBvAHFAc8B2AHgAeQB4wHgAdsB1gHTAdMB1AHWAdgB1wHTAcwBxAG8AbYBtQG5AcIBzwHeAewB9wH/AgICAQH9AfkB9QHyAfIB8wH2AfgB+gH8Af4CAQIGAg8CGgIpAjoCTAJeAm8CfgKKApQCnAKjAqoCswK9AsoC2gLrAv4DEgMlAzkDTANgA3MDhgOZA6oDuAPDA8kDywPJA8QDvwO7A7oDvgPFA9AD3APoA/ID+AP7A/sD+QP4A/kD/wQJBBgELARBBFcEagR7BIcEjwSTBJYEmASaBJ0EoQSmBK0EtAS8BMYE0gThBPMFCAUdBTAFPwVGBUYFPgUwBR8FDQT+BPUE8QTzBPgE/QUCBQUFBgUGBQUFBAUEBQIE/gT2BOcE0wS7BKEEiARzBGQEXARaBFwEXwRhBGEEXQRVBEoEPAQtBB0ECwP3A+IDywO0A50DhwN0A2EDTQM3Ax0C/wLdAroClwJ5AmICUQJHAkACOgIwAiECDAHzAdkBvgGlAY0BdgFcAT0BGADtAL0AigBWACD/6P+s/2n/Hf7H/mn+B/2o/VD9BPzI/Jv8e/xk/FP8Qvwu/BX79/vU+6z7gPtS+yT69/rM+qT6fvpc+jv6Gvn4+dT5rfmE+Vr5MfkI+OD4uviV+HD4S/gl+AD32ve195H3b/dQ9zT3HPcI9vj26fbb9sn2s/aX9nX2TfYj9ff1zvWn9YT1ZPVH9Sr1DfTw9NP0t/Sb9H70X/Q89BTz5/O184DzTfMd8vXy1vLB8rTyrPKn8qHylvKE8mnyRPIY8eTxrfF28UHxEfDm8MDwnfB98F3wPPAb7/nv2e+876Hviu9172LvT+897y3vIO8Y7xbvG+8l7zPvQ+9R713vZe9s73Lveu+H75jvr+/J7+bwAvAe8DfwTfBi8HTwhPCS8J7wp/Ct8LHws/C18Ljwu/DB8MfwzvDU8Njw2/Dd8N7w3vDg8OXw6/Dz8P3xCvEY8SnxPPFS8WzxifGo8cnx6vIK8ijyQ/JY8mnydfJ98oTyivKT8p7yrPK78svy2/Lo8vLy/PMG8xPzJPM881nze/Og88Xz6vQM9C30TPRs9I70svTY9QD1KvVV9YH1r/Xg9hP2S/aG9sT3BvdL95L32/gm+HP4wvkR+V/5rPn2+jz6fvq7+vX7Lvto+6b76/w5/JD87f1O/a3+BP5O/oj+s/7Q/uP+8P79/wv/G/8t/0H/WP90/5v/0AAaAHwA9QGBAhkCswNHA80EQQSiBPQFOAVyBaQFzgXyBg8GJwY+BlgGeQakBtsHGgdeB6EH3ggRCDsIXwiDCKsI3gkcCWUJtQoGClIKkQrCCuIK8wr3CvQK7wrsCvAK/gsZC0MLegvADBMMcAzVDT8NrA4aDoUO6w9LD6UP+BBHEJIQ3REpEXcRxhIWEmMSqxLqEx8TSBNnE3wTixOTE5UTkBOCE2cTPhMGEsISdhIoEeERqRGGEX4RkRG7EfkSQhKQEtsTIBNdE5QTxxP4FCsUYBSWFMkU9xUbFTIVPhU+FTcVLRUkFSAVIRUqFTkVTBViFXkVkRWrFcYV4xYEFiYWSxZwFpUWuhbeFwIXJBdHF2oXjRexF9UX+RgfGEYYbRiUGLoY3Rj6GRIZJRkyGTsZQxlLGVUZYBluGX0ZjRmdGa4ZvxnQGd8Z7Rn3Gf0aABoBGgEaAxoIGhIaHxotGjoaQRpCGjsaLRoaGgQZ7hnaGcgZtxmoGZoZixl8GWwZWxlIGTQZHhkGGO0Y1Ri/GK0YnxiUGIwYhBh7GG4YXRhHGCwYDRfpF8EXlRdmFzYXBhbaFrIWkRZ1FlwWRBYpFgkV4RW0FYIVThUdFPAUyhSsFJMUgBRxFGUUWhRSFEsURRRBFD8UPBQ5FDUULhQkFBYUBBPwE9oTwhOqE3ITWxNCEyQTABLWEqYSdBJAEgwR2RGnEXURQhEOENwQrxCNEHgQdBCAEJgQtxDWEO8Q/RD+EPMQ3xDFEKkQjhB0EFwQRxA0ECMQFRAGD/YP4Q/FD58Pbg8yDu8Opw5fDhsN3A2kDXENRA0ZDPEMygylDIEMYAxBDCYMDQv2C+ML0QvCC7MLpQuUC38LZQtCCxgK5wqxCncKOwn+CcIJhglJCQoIygiICEcICQfPB5sHbgdIBygHDgb3BuYG2AbQBs4G0QbaBuYG8gb9BwMHBAcBBvsG9AbvBuwG6gbrBusG7AbsBuwG7QbuBu8G7wbrBuMG1Aa/BqYGigZwBlsGSwZDBkEGQQZDBkMGQAY5Bi8GIwYWBggF/AXwBecF4AXbBdcF1QXSBc4FyAXABbUFqQWcBZAFhQV8BXMFaQVfBVMFRQU0BSEFDAT3BOIEzAS4BKMEjwR7BGYEUAQ4BB0D/wPhA8MDpwOQA38DdgNyA3UDegN/A4MDggN7A24DWgNBAyQDBALjAsQCpQKJAm4CVQI9AiUCDQH1AdsBwQGmAYoBbAFNASwBCQDlAMEAnAB5AFgAOwAiAA7//v/y/+j/3P/L/7L/kf9o/zv/Ef7v/tz+3P7v/xH/O/9i/37/h/96/1j/JP7n/qX+Zv4t/fr9zP2i/Xn9Tv0h/PD8vfyI/FT8I/v1+877rPuS+377cPtl+137VPtL+z77MPse+wv69fre+sX6rPqU+nv6ZPpO+jn6JfoQ+fr54/nK+bH5mPl/+Wb5Tvk2+Rz5APji+ML4ofiB+GL4R/gv+Br4CPf59+335Pfe99z33ffg9+T36Pfp9+f34vfb99P3zPfG98P3wve/97v3svel95P3f/dr91r3TvdJ90n3TvdU91n3W/dW90r3OPcg9wX26PbL9rH2mvaH9nf2afZd9lL2SfZB9jv2N/Y39jr2QPZH9k/2V/Zf9mf2b/Z39n/2hvaL9ov2hvZ79mn2UvY19hb19fXT9bP1lPV49WD1TvVC9Tv1OvU89T/1QfVC9UD1PPU39TL1LfUp9SX1HvUV9Qj0+PTl9NP0wvS09Kz0qPSp9K/0uPTD9M/03vTt9P71EPUk9Tn1T/Vk9Xn1jPWc9an1svW49bz1v/XD9cj1z/XZ9ef1+PYN9iX2QfZg9oH2pPbH9ur3C/cq90j3ZPd/95j3sPfH99v37vgA+BL4I/gz+EH4TfhT+FP4TPg/+C74HPgM+AH3/vgC+A34HPgv+ET4Wfhu+IP4mfiu+ML41Pji+O349Pj5+P35A/kL+RX5Ivkx+UH5UPlf+W75fvmO+aD5sfnD+dP54fnt+fj6AvoP+h76M/pO+m76lPq++u37HftP+4H7svvg/An8KvxB/E/8U/xR/Ev8SPxL/Fj8dPye/Nb9GP1i/bD9//5M/pf+3/8k/2X/ov/bAA4APQBmAIoArADNAO0BDQEuAU4BbQGKAaYBwAHZAfICDAIlAj4CVAJnAnUCfQJ/An0CdwJxAm0CbAJwAnoCjAKkAsIC5QMJAyoDRwNcA2gDbANqA2cDZgNrA3kDkAOuA88D7wQKBB4EKQQsBCgEIQQZBBMEDwQPBBAEFAQWBBcEFAQNBAID8wPjA9MDxQO7A7YDtQO5A8ADyQPUA98D6wP4BAUEEwQgBC4EOQREBE4EWARjBG8EfQSKBJYEoASnBKoEqgSpBKoErQS0BLwExQTLBM4EywTEBLsEsQSoBKEEnQSaBJYEjwSGBHoEbQRiBFsEVwRXBFkEWgRYBFIESAQ8BC8EIwQYBA4EAgP1A+MDzwO6A6QDkgODA3cDbgNmA10DUQNEAzUDKAMdAxYDEQMMAwYC/ALuAt0CygK5AqkCmwKNAn0CZgJJAiUB/gHYAbgBogGYAZcBnAGjAaYBogGYAYoBfAFwAWsBbgF2AYIBjwGZAaABpAGmAagBrAGzAbsBxAHMAdAB0gHQAc4BzAHMAdAB1gHeAeYB6wHsAekB4gHZAdEBzAHNAdUB4gHzAgUCFAIfAiQCIwIeAhgCEwIPAg4CDwIQAhECEQIPAg0CDAIMAhACGAIjAjACPgJNAlsCaAJ0An8CigKVAqECrAK5AsgC2ALpAv0DEgMoAz8DVgNuA4UDmwOwA8EDzgPWA9gD1QPPA8gDwgPAA8IDyQPVA+MD8QP9BAYEDAQQBBMEGAQfBCsEPARQBGcEfQSQBJ8EqQSsBKwEqQSmBKYEqwS3BMkE3wT4BRIFKQU9BU8FXwVwBYMFmAWwBckF3gXtBfIF6wXZBb4FnwV+BWIFSwU6BS8FJgUfBRcFDgUFBP0E9gTzBPEE8QTvBOsE4QTTBMIErgSZBIUEdARkBFUERwQ4BCgEFwQGA/YD5gPYA8kDuwOqA5cDggNrA1MDPAMlAxAC+wLlAs0CsQKSAnECUAIyAhoCCAH9AfYB8QHsAeQB2AHJAbcBowGOAXkBYQFGASUA/wDSAKIAcAA+AA3/3v+t/3n/P/7+/rX+Zv4V/cb9ff08/QT81vyw/I/8cfxU/DX8E/vv+8f7nftw+0P7Ffro+rv6jvpi+jX6CPnb+a/5hfle+Tv5Gvj7+Nr4uPiS+Gj4PPgQ9+X3vPeX93X3Vfc29xj2+/bg9sj2svag9o72evZi9kT2H/X29cn1nfV09VD1MPUW9P706fTV9MD0q/ST9Hn0W/Q39A3z3vOr83fzRvMb8vjy3fLL8r/ytvKs8p7yi/Jw8k3yI/Hz8b7xifFU8SLw9fDO8KrwifBp8EjwJO//79nvs++Q73DvU+867yTvD+797u3u4e7b7tvu4u7u7v7vEO8f7yzvN+8+70fvUe9e73Dvhu+d77Tvyu/c7+vv+PAE8BDwHfAr8DnwRvBR8FjwXfBg8GHwY/Bl8GnwbvB08HnwfvCD8IfwjfCU8J7wqvC58Mjw2fDq8PzxDvEh8TXxSfFe8XPxhvGY8anxuPHH8dXx5PH18gnyH/I38lDyafKA8pTypfKy8r3yyPLV8ufy/vMa8zrzXPN985zzuPPR8+n0A/Qe9D70YfSG9K301PT89ST1T/V+9bL16/Yq9m32s/b890j3l/fq+ED4m/j3+VX5r/oE+lH6lfrP+wL7MPtd+4/7yfwO/GD8vv0i/Yn97P5F/pD+yv72/xP/KP83/0L/TP9U/1z/Zf9z/4z/uP/7AFoA1AFlAgICogM6A78ELQSFBMgE/QUpBU8FcwWWBbYF1AXxBhAGNAZfBpMGzwcQB1MHkQfJB/gIIAhECGkIlQjKCQoJVAmlCfcKRgqLCsMK6wsDCxALFAsWCx0LLQtMC3sLuQwEDFkMtA0RDW8NzA4pDoUO4Q89D5cP7xBDEJQQ5BExEX8RzBIYEmESpRLhExUTQBNiE34TlBOkE60TrBOeE38TThMNEsASbxIjEeYRwBG1EcgR9hI5EokS3xMzE4ATxBP9FC4UWBR+FJ8UvRTXFOoU9xT9FPwU9xTwFOkU5xTqFPQVBRUbFTYVUhVvFYoVpRXAFdsV9xYWFjcWWxaBFqkW0hb6FyIXSBdtF48XsBfOF+wYCRgpGEoYbxiVGLwY4RkDGR4ZMhlAGUgZThlSGVgZYBlsGXoZixmcGa0ZvhnMGdkZ4hnnGekZ6BnmGeUZ6BnxGf8aERokGjMaPBo7Gi4aGBn7GdwZvRmhGYsZeRlqGV4ZURlEGTYZJhkUGQEY7BjXGMIYrRibGI0Yghh7GHYYcBhpGF4YThg5GB8YABfeF7kXkhdqF0IXHBb5FtkWuxaeFoEWYBY7Fg8V3xWqFXUVQRURFOYUwRShFIcUcRRhFFQUSxRFFEEUPxQ8FDgUMhQqFCAUExQDE/ET3hPJE7MTnROIE00TORMjEwoS7RLMEqYSfRJREiQR9hHHEZYRYxEuEPwQzxCsEJgQlhCjEL4Q4BECER4RMRE4ETQRKBEWEQAQ5xDNELEQlBB2EFcQOBAZD/gP1A+sD34PSw8TDtkOng5lDi0N9w3CDYwNVg0gDOwMvAySDHAMVgxBDDIMJAwXDAcL9gvhC8oLsAuTC3ILTAsfCuwKswp0CjIJ7QmpCWUJIgjgCKAIYAgjB+kHsgeCB1gHNQcaBwQG9AbnBtwG1AbPBs0GzwbWBt8G6QbzBvsG/wcABwAG/gb9BvwG/Ab8BvwG+gb3BvQG8QbwBvEG8AbtBuUG1gbBBqYGiQZsBlMGPwYyBioGJQYgBhoGEgYIBfwF8QXmBdwF1AXNBcgFwwW/BbsFtwWyBasFogWYBY4FgwV5BXAFaQViBVsFUwVJBTwFLQUcBQoE+ATnBNYExgS3BKkEmwSOBH8EbgRZBD8EIAP+A9sDuwOhA5ADiAOKA5IDngOoA60DqgOgA40DcwNVAzQDEwLzAtMCtQKYAnoCXQI9Ah0B/AHaAbkBmQF7AV8BRAEqAREA9wDcAL8AogCEAGcASwAxABsACP/4/+r/2v/H/67/jf9n/z//G/8A/vT++f8N/yz/Tf9o/3T/bP9Q/yP+6f6p/mr+MP38/c39ov15/U39IPzv/Lz8ifxW/CX7+fvS+7H7l/uE+3b7a/th+1f7S/s9+y37HPsK+vb64frK+rH6lfp4+ln6PPog+gb57fnW+b75pvmN+XT5W/lD+Sz5FvkA+On4z/iz+Jb4efhe+Eb4Mfgf+BD4APfv9973zPe897H3q/eq9673s/e597v3uPey96j3n/eY95T3lPeV95X3kveJ93r3ZvdQ9zr3KPcc9xb3FvcY9xz3HfcZ9xD3APbr9tL2uPae9ob2cvZh9lL2RvY69i32IfYU9gr2AvX/9gD2BfYN9hX2HfYk9in2LfYy9jf2PPZD9kf2SvZJ9kL2N/Ym9hD19/Xa9bv1mvV69Vr1PfUl9RL1A/T59PP07/Ts9On05/Tm9OX04/Tg9Nv00/TI9Lr0q/Sd9JH0ifSG9Ib0iPSM9I/0kvSU9Jb0mvSh9Kr0t/TH9Nn07PT+9RD1HvUr9TT1PPVC9Uf1TfVU9V31aPV29Yb1mfWw9cr16PYJ9iz2UPZz9pb2tvbT9vD3C/cm90D3Wvdz94r3n/ex98P30/fj9/H3/fgF+Af4A/f59+r32vfL98D3u/e998X30ffh9/P4Bvgc+DX4UPht+Iv4pvi/+NL44fjt+Pf5AfkO+R35MPlF+Vv5cfmF+Zf5qfm6+cz53vnw+gL6FPok+jP6QfpQ+mD6dPqK+qP6vvra+vj7Ffsz+0/7a/uF+537r/u8+8H7vvu1+6r7oPud+6X7vPvj/Bn8Wfyh/Ov9NP17/b7+AP5C/oT+x/8L/03/jf/JAAAAMwBkAJQAxAD1ASUBVQGCAasB0QHyAhECLgJKAmUCfQKSAqECqwKuAq0CqQKlAqICowKoArICwQLUAusDBgMiAz8DWgNzA4YDlQOdA6EDowOmA60DuQPKA+ED+wQVBCwEPwRLBFIEUwRRBEwERwRDBEAEQARBBEIEQwRCBD4ENgQsBB4EDwQBA/QD6wPmA+YD6wP1BAMEFAQnBDoETQReBGwEeASABIgEjwSYBKIErgS6BMYEzwTVBNgE2QTYBNgE2QTdBOIE5wTpBOgE4wTaBNAExgS9BLgEtQSyBK4EqASeBJIEhQR6BHMEcgR2BHwEggSEBIAEdQRkBE4ENAQbBAID6wPVA8IDsAOhA5UDjAOGA4QDggN/A3oDcQNlA1gDSgM+AzQDLQMnAyADFwMLAvwC6gLYAsUCtAKiAo4CdwJbAjsCGQH4AdwBxwG7AbYBtgG3AbYBrwGiAZIBgQFyAWgBZQFnAW8BeQGCAYkBjgGRAZMBlAGXAZwBogGqAbIBuQHBAccBzQHSAdkB4AHpAfEB+AH9Af8B/gH6AfUB8QHxAfYB/wINAh0CKwI2AjwCPQI6AjQCLgIqAikCKwItAjACMQIxAjECMAIwAjICNwI9AkUCTQJWAl8CaAJzAn8CjAKaAqkCuQLJAtsC7QMBAxYDLQNFA14DdwOQA6gDvgPSA+ID7APxA+8D6QPfA9UDzgPLA84D1wPjA/ID/wQLBBMEGAQcBCIEKwQ6BE4EZgSABJkErQS7BMEEvgS2BKsEowShBKgEvATcBQYFNwVoBZYFvAXYBewF+AYBBgsGGAYrBkEGWAZsBngGeAZsBlQGNgYTBfIF1AW7BacFlgWFBXMFXgVIBTIFHQUNBQAE+ATzBO8E6gTkBNwE0QTDBLQEowSPBHkEYAREBCYEBwPoA8sDsAOXA4EDbQNaA0gDNQMiAw8C/ALoAtQCwAKqApECdgJXAjcCFwH5Ad8BywG8AbMBrAGoAaIBmwGSAYcBegFrAVkBRQEsAQ0A6AC9AI4AXgAt//7/0f+l/3j/SP8U/tz+nv5d/hr92f2a/V79J/z1/Mb8mvxw/Ej8IPv5+9L7qvuD+1v7MvsK+t/6sfqB+kz6Ffnd+af5dvlM+Sj5Cfjt+M/4rfiF+Ff4Jvf098f3nvd79133P/ch9v/23Pa49pb2efZh9k32OvYl9gv16vXD9Zj1bfVF9SP1B/Tx9N/00PTB9LH0n/SK9HH0U/Qw9Abz2POm83XzR/Mg8wHy6vLa8s3yv/Ku8pXydvJP8iHx8PG88YnxWfEs8QTw4fDB8KLwhPBj8D/wGO/t78Hvlu9t70nvKO8M7vTu3u7L7rzusO6p7qjurO617sHuzu7c7uju9O7/7wvvGe8p7zzvT+9h73Hvfu+G74rvje+R75fvoO+t773vzu/e7+rv8+/47/rv++/87/7wAvAI8A/wF/Af8CjwMvA/8E7wYPB08InwnvCz8Mfw2vDs8P7xDfEb8SbxL/E08TjxPPFC8UvxWvFu8YnxqfHM8fDyE/Iy8k3yY/J28obyl/Kr8sXy5fMK8zHzWPN685fzrfO+883z3fPw9Aj0JfRE9GX0h/So9Mv08PUb9Uz1hfXE9gj2Ufac9uv3PfeV9/L4Vvi/+Sn5kfnz+kr6lPrR+wH7KftN+3L7nvvV/Br8bvzN/TT9m/3+/lb+oP7a/wX/I/84/0X/Tv9T/1f/XP9m/3v/o//jAD8AuAFIAegCigMjA6oEGARrBKcE0gTzBQ4FKgVHBWYFhgWmBcgF7AYVBkQGega1BvMHMQdsB6EH0gf9CCcIUwiDCLsI+wlECZMJ5go2Cn8KvArqCwoLHgsrCzgLTQtvC6EL5Aw0DI0M6A1DDZoN7Q4/DpEO5Q88D5YP8BBKEKIQ9hFIEZYR4hIrEnASsRLsEyATThN1E5YTsRPEE8wTxhOvE4UTSBL/Eq8SYxIlEf4R9BIJEjkSgBLUEy0TgxPRFBQUSRR0FJUUrhS/FMsU0BTPFMkUwBS1FKwUphSmFK0UuxTPFOgVBBUiFUAVXhV7FZcVshXOFesWChYrFk4WdBacFsYW8BcbF0QXbReTF7UX1RfzGA4YKBhCGF8YfhigGMQY6BkJGSYZPRlNGVgZXxllGWwZdhmDGZEZoBmuGboZwxnJGc0ZzxnPGc0ZyxnJGcgZyxnRGdwZ6Rn3GgIaBhoBGfIZ2hm8GZwZfBlhGUsZOxkuGSIZFxkJGPkY5hjSGLwYphiQGH0YbBhfGFYYUhhSGFMYVBhSGEwYQBguGBYX+RfZF7YXkxdxF1EXMxcYFv8W5RbJFqcWfxZPFhkV3xWkFWsVOBUKFOEUvhSfFIQUbBRYFEoUPxQ5FDUUMRQsFCQUGRQLE/sT6hPYE8YTsxOfE4sTdhNiEyoTExL9EuYSzxK1EpkSexJbEjkSFBHtEcMRlRFmETkRERDyEOEQ3xDrEQERHRE5EVARYBFnEWYRXxFRET8RKRENEOwQxhCeEHUQTBAkD/wP1A+qD34PUA8gDu8Ovw6PDl4OLA31DboNfA08DP4MxgyYDHYMXgxPDEUMPQwyDCMMDgvyC9ALqAt8C0oLEwrYCpkKVQoNCcMJdwkrCOAImAhUCBUH3AepB3wHVQc1BxsHCAb6BvEG7AbpBucG5gblBuQG5QboBuwG8gb4Bv4HAgcGBwgHCgcMBw4HDwcPBwwHBwcBBvkG8gbtBukG5gbhBtkGywa3Bp0GgAZjBkgGMgYgBhMGCAX/BfUF6QXdBdAFxAW6BbIFrQWqBakFqgWrBaoFqAWiBZgFigV6BWkFWgVNBUUFPwU7BTYFMAUmBRoFCgT6BOkE2QTKBLwErgSiBJgEjwSHBIAEdgRoBFUEOQQYA/IDzQOuA5gDjQONA5YDowOvA7cDuAOwA6ADigNvA1IDNAMVAvUC1QKzApECbAJGAh8B+AHQAaoBhAFhAT8BIAEEAOsA1AC/AKsAmACEAG8AWABBACoAFAAA/+z/2f/D/6v/jv9t/03/MP8c/xX/G/8s/0T/Wf9k/1//R/8e/uf+qP5o/iz99f3E/Zb9av0+/RH84/y1/Ij8XPwz/Az76PvI+637mPuI+3z7cvto+1z7Tfs5+yT7DPr1+t36xvqu+pT6d/pY+jj6GPn5+dz5wPml+Yr5bvlR+TX5GfkB+Or41vjD+K74mPiA+Gf4T/g5+Cb4F/gK9/737/fe98n3sved94v3gPd994H3iPeP95P3kveL94H3dPdq92P3Yfdj92X3Zfdg91P3Qfcq9xL2/fbs9uP24Pbi9uf26vbq9uT21/bD9qv2kfZ39mD2TfZA9jf2MPYp9iD2FPYF9fT15fXa9dT10/XX9d314/Xo9er16vXq9er17fXy9fr2AvYI9gz2C/YF9fn15/XQ9bX1lfVz9VD1LvUO9PL02/TI9Lz0tPSv9K/0sPSz9Lb0t/S09K70ovST9IP0dPRp9GT0Z/Rv9Hr0hvSQ9JX0lfSQ9In0gvR99Hv0f/SH9JL0oPSv9L70y/TW9N/05vTs9PL0+PUB9Qv1GPUn9Tn1TvVm9YH1oPXD9ef2DPYx9lP2c/aP9qn2wfbZ9vH3CPcf9zX3Sfdb92z3ffeN9533q/e197v3u/e196r3nveR94j3g/eD94j3kfee9673w/fd9/z4IPhH+G74k/i0+M344Pju+Pn5BfkU+Sf5QPlc+Xn5lvmw+cf52/ns+f36Dvof+jL6Rvpa+m76g/qX+qz6wfrW+uz7AfsV+yf7OPtG+1P7X/tr+3T7fPuA+4D7fPt0+2v7Zvtn+3T7jvu1++j8Ivxf/Jv80v0E/TP9YP2Q/cT9/v48/nz+vP76/zT/a/+i/9sAGABaAKAA5wEtAW8BrAHhAg8COAJdAn4CmgKyAsMCzgLSAtECzgLMAssCzwLWAuAC7QL6AwgDFwMoAz0DVgNyA5EDrQPHA9oD5gPtA/AD8QP1A/wECQQbBC8ERARYBGgEcgR3BHcEdARvBGoEZwRnBGoEbgRzBHYEdgRyBGoEXQRNBDwELQQiBBwEHQQmBDQERwRdBHMEhwSYBKQErASxBLUEuQS+BMYEzwTbBOYE8QT5BP4FAQUCBQEFAAT/BP4E/AT5BPQE7ATkBNoE0QTKBMUEwQS+BLoEswSqBKAElQSNBIgEiASMBJIEmASZBJQEhgRxBFUENgQWA/gD3gPJA7kDrQOlA6ADnQOcA5sDmQOWA5ADhwN9A3EDZANYA04DRgM+AzUDKgMdAw0C+wLpAtkCygK9ArACogKRAn0CZgJMAjMCGwIJAfsB8QHqAeIB2QHMAbsBpwGTAYEBdAFtAWwBcAF5AYIBiwGRAZQBlAGRAY4BjgGRAZkBpQG0AcQB1AHgAekB7wHzAfYB+QH9AgICBgIJAgwCDQIPAhMCGgIjAi8COwJGAkwCTwJNAkoCRgJEAkQCRwJMAlECVQJYAloCWwJdAl8CYQJlAmkCbQJyAncCfwKJApYCpQK3AsoC3gLyAwgDHgM1A04DZwOAA5kDsQPIA94D8QQABAwEEwQUBBAEBgP7A/AD6APmA+oD9AQBBBEEHwQpBDAENAQ3BDoEQgROBF8EdASLBKAEsAS6BL0EuwS2BLQEuATIBOUFEAVGBYMFwAX5BiYGRgZWBloGVQZMBkYGRQZMBloGbgaDBpUGoAajBp0GkAaABm4GXgZQBkIGNAYiBgwF7wXOBakFgwVfBT4FIwUNBP0E8QToBOEE2gTTBMkEvQStBJkEgARkBEQEIgP/A9sDtwOVA3UDWQM/AykDFgMFAvYC5gLWAsMCrwKXAnwCXgI+Ah4B/gHgAcUBrgGcAY0BggF4AW8BZgFcAVIBRwE7AS4BHgEKAPIA0wCwAIkAXwA0AAn/3/+1/4n/XP8s/vn+w/6M/lP+Gv3i/an9cf05/QL8zPyY/GX8NfwH+9z7s/uN+2r7R/sl+wH62Pqp+nL6Nvn2+bb5e/lH+Rz4+fja+Lz4mvhy+EP4EPfe9673hfdh90H3IvcB9tv2svaI9mH2PvYj9g31+vXn9dD1svWP9Wj1QfUf9QL06/Ta9Mz0v/Sx9KD0jPR29F30QPQf8/nzzfOf83HzRvMg8wPy7PLb8szyuvKi8oLyWvIq8fbxwPGN8V3xMvEN8O7w0fC38JvwffBa8DPwCe/c767vgu9Z7zTvFO737t3ux+6z7qHulO6K7oPuge6C7oXuiu6R7prupO6w7r3uze7e7u/u/+8N7xjvH+8i7yLvIe8h7yTvK+8370bvV+9o73fvgu+J74zvju+P75Lvlu+d76bvsO+778bv1O/j7/TwCPAd8DPwSfBf8HXwifCd8K/wv/DM8NXw2vDc8Nzw3fDg8Ofw9fEK8SXxRvFr8ZDxtfHY8ffyE/Is8kXyYPJ+8qHyyfL18yLzTPNw84zzn/Os87TzvfPK89zz9PQR9DD0UfRy9JP0t/Te9Qv1PvV49bf1+/ZD9o723vc195T3+vhn+Nj5SPmz+hT6aPqv+uf7E/s4+1n7fPul+9r8HPxr/MX9J/2J/ef+O/6C/rr+5P8C/xb/I/8t/zX/QP9S/2//nv/kAEMAuwFJAeQCgQMWA5gEAgRQBIYEqQTABNME5wT+BRoFOgVcBYEFpwXRBf8GMQZnBqEG3AcYB1IHiAe8B+wIGwhKCHwIsgjwCTUJggnTCiUKcgq2CuwLFAsxC0gLYQuBC68L7Aw3DI4M6g1HDaIN+g5PDqQO+g9TD68QDRBrEMYRHhFyEcASCxJREpQS0RMLEz8TbhOWE7YTzRPXE9ITuxOSE1gTERLGEn4SRBIgEhcSKxJZEpsS6hM9E40T0xQNFDoUXBR1FIYUkRSXFJYUkRSIFHwUcRRqFGoUchSDFJsUuRTaFPoVGRU2FVEVaxWEFZ8VvBXbFf0WIRZHFm8WmBbCFuwXFhc+F2YXjBexF9QX9RgTGC8YSRhiGHsYlRiwGM4Y7RkMGSkZQxlYGWgZdRl/GYoZlRmgGasZtRm6Gb0Zuxm4GbMZrxmrGagZphmjGZ8ZmxmXGZMZkhmSGZIZkBmKGX8ZbxlaGUMZLBkWGQQY8xjlGNYYxhi0GJ8YiBhwGFkYRBgyGCQYHBgZGBsYIRgpGDEYNxg6GDgYMBghGA0X8xfXF7gXmBd7F2EXShc2FyMXDhbzFtEWphZxFjYV+RW8FYMVURUlFP0U2BS1FJQUdRRZFEMUMxQoFCEUGxQTFAkT+hPpE9cTxBOyE6ITkRN/E2wTVxNBExwTAxLrEtISuxKkEo0SdhJfEkcSLhISEfIRzxGrEYcRaBFREUURQxFMEVsRbBF7EYYRihGHEYARdBFlEVARNxEYEPMQzBCjEHsQVhA0EBQP8w/PD6gPfA9NDxwO6w65DoUOUA4XDdoNmg1ZDR0M5wy6DJgMfgxsDF4MUAw/DCoMDgvrC78LjAtRCxAKygqBCjUJ6AmaCUsI/AivCGMIHAfbB6MHdAdOBzEHGwcLBv8G9gbxBu8G8AbzBvcG+wb/BwEHBAcGBwgHCgcMBw4HEAcRBxMHFAcXBxkHGwcbBxkHEgcJBv0G8AbkBtoG0gbLBsIGtQakBo4GdQZZBj4GJgYSBgIF9QXrBeEF1wXLBb0FrgWgBZMFiAWCBYIFhQWLBZEFlAWRBYcFdgVhBUkFMwUjBRcFEgUOBQwFBwT+BPIE4wTUBMUEtwSqBJ0EkQSGBHwEdARwBG4EbQRoBF0ESAQrBAYD3gO6A50DiwOFA4oDlQOiA60DswO0A64DowOUA4EDagNPAy8DCwLiArUChwJYAikB/AHQAaUBfAFTASsBBgDkAMYArgCcAI4AhQB8AHMAZgBWAEMALAAU//z/5P/L/7H/lP92/1j/Pv8r/yT/Kf83/0j/Vv9Z/0v/LP78/sL+gv5C/gb9zv2a/Wf9Nf0C/NH8ovx4/FP8M/wX+/z74/vL+7b7pPuX+4z7hPt6+2z7WftA+yH7Afrh+sL6pfqK+m76Uvoz+hP58/nT+bP5lfl3+Vn5Ofka+Pv43vjE+K34mfiH+Hb4Y/hO+Dn4JPgR+AD38/fo9933z/e/96r3lPd+92v3XfdX91f3XPdh92P3YPdY90v3PPcu9yP3Hvcd9x73Hvcb9xH3Afbs9tX2wPaw9qf2pvaq9rP2u/bA9r/2tPah9of2afZL9jH2H/YV9hL2FPYW9hX2DvX/9ez11vXD9bb1r/Wv9bT1uvW/9cD1vvW59bX1s/W19bn1wfXI9c710fXO9cX1t/Wj9Yr1bfVO9S71DvTw9Nb0wPSv9KL0m/SX9Jf0mfSd9KD0ofSd9JT0hvR09GL0UvRI9Ef0TvRd9HD0g/ST9J30n/Sa9I/0gvR19Gr0ZPRj9Gn0cvR/9I30m/Sn9LH0uPS99MH0x/TO9Nf05PTz9QT1GPUv9Un1Z/WJ9a711PX69h72P/Zb9nT2ivae9rH2xPbX9un2+/cM9x73MPdD91X3Zvd09333gfd+93b3avde91P3S/dJ90z3Vfdl93z3m/fB9+34HfhO+H34pfjE+Nr46Pjw+Pj5AfkR+Sj5Rvlp+Y/5tPnX+fT6Dfoh+jP6Q/pT+mX6efqN+qP6uPrN+uD68/sE+xX7Jfsz+0H7TvtZ+2T7bvt4+4H7ivuR+5b7mfub+577pfuy+8j76PwR/EH8c/yk/NH89v0V/TD9Sv1m/Yb9rP3X/gX+M/5h/o3+u/7r/yP/Y/+uAAIAXAC4AREBZQGvAfECKgJcAogCrgLOAucC+AMBAwMDAgMAAwADAwMKAxIDHAMlAywDNAM+A00DYwOBA6QDywPvBA4EIwQtBC4EKAQhBBsEHAQjBDIERgRbBG8EgASLBJAEkASNBIkEhgSGBIkEjgSUBJoEnQSdBJgEjQR/BHAEYQRWBFIEVAReBG8EhASaBK4EvwTLBNME1wTZBNsE3gTkBOwE9gUBBQsFFAUbBR4FHwUdBRkFEwUNBQcFAAT5BPEE6QTfBNYEywTCBLkEsQSqBKQEngSZBJQEjwSMBIsEiwSNBI4EjgSJBH4EbQRWBDoEHQQBA+gD1QPIA8ADuwO5A7gDtwO0A68DqQOiA5kDkAOGA3sDcQNmA1wDUgNIAz4DMgMkAxUDBQL0AuUC2ALPAsgCwgK7ArACoAKKAnECVgI8AicCFgILAgMB/QH1AeoB2gHGAbABnAGNAYUBhQGMAZgBpQGvAbUBswGsAaEBlwGRAZMBnQGuAcMB2AHqAfYB/AH8AfoB+AH4AfwCAgIKAhICGAIeAiMCKQIxAjoCRAJOAlYCWwJeAl4CXgJfAmICZgJsAnICdwJ7An0CfwKBAoQChwKLAo8ClAKaAqECqgK3AsYC2QLtAwIDGQMvA0cDYAN5A5MDrgPIA+AD9QQIBBkEJgQvBDUENgQyBCsEIAQVBAwEBwQJBBAEHQQuBD8ETgRaBGEEYwRjBGIEYgRlBGwEdwSEBJMEogSwBL0EygTbBPMFEwU/BXQFsAXtBicGVgZ3BocGhwZ6BmUGTQY5BisGJgYqBjYGRwZbBm8GgAaOBpgGoAamBqsGrwayBrEGrAahBo0GcQZMBiAF8AW/BY8FYwU8BR0FBQTzBOYE3ATTBMkEvQSuBJwEiARxBFgEPQQgBAED4AO/A5wDfANdA0IDKwMWAwQC8gLfAsoCsgKXAnoCWwI8Ah0B/wHjAcsBtAGfAYwBeQFnAVQBQQEvAR8BEQEEAPkA7QDfAM4AuQCgAIMAZQBFACUAA//f/7j/jf9d/yv+9v7A/ov+Vv4i/e39tv1+/UP9BvzJ/Iv8UPwY++T7tPuK+2X7Q/sl+wX64vq5+ob6S/oI+cL5fvlB+Qz44vi/+J/4f/hb+DH4AvfQ96D3cvdI9yL2/PbU9qr2ffZR9ij2BfXp9dT1wvWv9Zn1fvVe9Tz1HPT/9Oj01/TJ9Lv0rPSa9IX0bvRW9D30IvQF8+PzvfOT82fzPfMX8vfy3/LL8rnypfKM8mvyQ/IT8eDxrPF78U7xJvEE8ObwyvCu8I/wbvBJ8CHv9u/L76Lveu9W7zXvF+777uHuye607qDukO6D7njub+5p7mTuYe5g7mHuZu5t7nbuge6M7pfuoe6q7rHutu667rvuvO697r/uxO7N7tnu5+727wXvEO8Y7x3vIe8k7ynvMO8670bvU+9h72/vfu+O75/vse/F79jv7PAA8BPwJvA68E3wX/Bv8HzwhvCO8JTwm/Cl8LPwxfDc8PXxEfEu8UvxafGG8aPxwfHf8f/yIPJE8mzylvLD8u/zGfM981nzbfN684PzjPOY86vzxfPm9Av0M/Rb9IP0qvTR9Pv1KPVY9Y31xfYC9kT2jfbd9zb3l/gA+Gz42vlG+av6CPpb+qP63/sT+z/7ZvuN+7f76Pwi/Gj8t/0N/WT9uf4G/kj+ff6n/sf+4f74/xD/LP9Q/4D/vwARAHYA7gF0AgQCkgMXA4kD5AQnBFIEbgR/BI0EnQS0BNAE8wUaBUQFcQWgBdAGAwY3Bm0GpAbcBxQHSweBB7YH6AgZCEgIeAiqCOMJJAlvCcEKFwpsCrkK+gstC1QLdAuSC7cL5gwkDHEMyg0rDZIN+Q5gDsQPJw+ID+gQRRChEPkRTRGeEeoSMRJzErIS7BMjE1UTgBOkE70TxxPAE6QTdhM4EvASpxJlEjQSGBIXEi4SWxKYEtsTHxNdE5ITvRPdE/YUCBQYFCQULxQ3FDwUPhQ+FD4UQRRIFFYUbBSJFKsUzxTyFRMVMRVKFWIVeRWRFawVyxXtFhMWOxZlFpEWvRboFxIXOxdhF4YXqRfLF+0YDhguGEwYZxiAGJYYrBjBGNgY8RkNGSgZQxlbGW8ZgBmNGZgZoRmoGa0ZrhmrGaUZnBmSGYoZhBmBGX8ZfBl2GWsZWhlGGTEZHRkOGQQY/xj9GPwY+BjxGOYY2BjGGLMYnxiLGHYYYBhJGDAYGRgDF/AX4xfcF9wX4RfsF/kYBxgUGB8YJRgoGCUYHRgQF/8X6RfRF7YXmxeCF2wXWRdJFzsXKhcVFvcW0BahFmwWNBX9FcsVnBVyFUkVIBT1FMoUnxR4FFgUPxQuFCMUGRQPFAIT8BPcE8YTsROeE44TfhNvE14TShM0EysTFRL7EuESxhKtEpYSghJxEmISUhJAEisSExH3EdwRxBGyEacRpBGnEasRrxGuEagRnBGMEXoRZxFSETwRIxEHEOkQyhCtEJMQexBmEE8QNRATD+gPtg9+D0IPBQ7JDo4OVA4aDeENqA1xDT8NEgzqDMgMqQyNDHIMVww7DB0L+wvSC6ILZwskCtcKhQowCdsJiQk7CPAIpwhhCB4H3wenB3gHVAc5BycHGgcSBwoHBAb+BvoG+Qb7BwAHBwcPBxYHHAcgByMHJAckByIHIAccBxkHFwcXBxkHHAcfBx8HGwcSBwUG9QblBtUGyAa9BrIGpgaYBoUGbgZUBjkGIAYJBfgF7AXjBd0F1gXMBb0FqgWUBX0FaQVbBVUFWQVjBXAFegV+BXgFaAVQBTQFGgUFBPYE7gTpBOUE3wTVBMgEuQSrBJ8ElASLBIEEdwRsBGIEWwRYBFkEWwRbBFYERgQsBAkD4QO5A5gDggN4A3kDgQONA5kDowOpA60DrQOqA6IDlAN+A2ADOAMJAtUCnQJlAi4B+gHJAZsBbgFDARkA8QDMAK0AlACCAHkAdQB2AHcAdABtAF8ASwA0ABn//f/g/8H/oP99/1r/Ov8i/xX/Ff8g/zD/Pv9D/zn/Hf7x/rn+e/47/f39wP2F/Ur9D/zU/J78bfxG/Cj8Efv/++773vvM+7v7rPug+5f7jvuD+3L7Wfs5+xL66frB+p36fPpf+kL6JfoG+eX5wvmg+X75X/lA+SL5BPjm+Mj4q/iR+Hn4ZPhR+ED4L/gc+Ar39/fm99b3yfe897H3pPeV94T3cPdc90n3Ofcu9yn3J/co9yf3I/cb9w32/fbs9tz20fbK9sf2xfbC9rv2sPag9o72ffZv9mf2Z/Zu9nn2hvaQ9pP2jPZ79mD2QPYf9gL17/Xm9en18vX89gP2AvX49eX1zfW39aX1nPWb9Z/1pvWr9az1qfWh9Zj1kfWN9Yz1jvWR9ZP1kvWM9YH1cfVc9UX1LPUS9Pn04vTO9L30r/Sl9J70mPSV9JP0kvSR9I/0jPSG9H30cPRh9FD0QvQ49Db0OvRF9FX0aPR49IX0jPSM9IX0evRt9GH0V/RU9Fb0X/Rs9Hz0i/SY9KH0pvSo9Kr0rfSy9Lv0x/TW9Ob0+fUO9SX1QPVf9YL1p/XN9fH2EvYv9kj2XfZw9oH2kfah9rH2wfbR9uP29fcJ9x73MfdC9073VPdT90v3P/cx9yT3G/cY9x73L/dL93L3ovfa+Bb4UPiD+K34yvja+N/43fja+Nr44vj1+RL5OPlm+Zb5xvny+hn6OvpV+mv6fvqP+qD6sfrB+tL64frv+vv7BfsO+xj7Ivsu+zv7S/tc+2/7g/uX+6z7wPvT++X79/wI/Bv8MPxJ/Gf8ivyy/N39B/0w/VT9cv2L/aD9s/3F/dn97/4G/h7+Nv5O/mf+g/6n/tT/Df9V/6kABgBpAMwBKwGCAdACFQJSAogCuQLkAwkDJgM6A0cDTQNPA1ADUgNVA1sDYANlA2oDbgN1A4ADkgOsA80D8gQWBDUETARXBFgEUARFBDoENAQ1BD8ETwRkBHoEjgSdBKcErASsBKoEpwSkBKMEpASmBKcEqASmBKAElwSMBIEEdwRyBHMEfASMBKEEuQTPBOME8AT4BPsE/AT9BQAFBgUPBRsFJwUxBTcFOwU5BTQFLQUjBRkFDgUEBPoE8QTpBOAE1wTOBMIEtgSpBJwEkASGBH8EewR6BHsEfQR/BIEEgwSCBH8EeARuBF8ETAQ2BB4EBwPyA+ID1wPRA88D0APRA9ADzQPIA8EDugOxA6kDoQOYA44DggN1A2cDWQNMA0ADNQMqAxwDDgL9AusC2gLLAr4CsgKnApkCiAJxAlcCOwIhAg0CAAH7Af0CAgIGAgYCAAHzAeEBzQG8AbEBrQGxAboBxQHPAdQB0wHLAb4BsAGlAaEBpQGxAcMB2AHrAfkCAAICAf8B/AH7Af0CAgIKAhQCHAIkAisCMgI6AkICTAJXAmACaQJvAnQCeAJ8AoEChwKNApIClgKZApoCnAKfAqQCqgKxArkCwgLNAtkC5wL3AwkDHgMzA0kDXwN1A4sDowO7A9QD7QQFBBsELQQ9BEgETwRRBFAESgRCBDgELgQmBCIEIwQrBDcESARaBGwEewSFBIwEjQSLBIYEgQR+BH4EgwSNBJwEsATIBOUFBgUsBVkFjAXEBf4GNQZiBn8GigaCBmsGSgYnBgoF9wXzBfsGDAYjBjoGTwZfBmwGdgZ+BocGkQabBqYGsAa4Br4Gvwa7BrEGngaEBmEGOQYLBdsFrAWABVoFOwUiBQ4E/gTuBN0EygS2BJ8EiQRzBF0ESAQyBBwEAgPnA8kDqgOLA2wDTwMzAxgC/gLkAskCrgKSAnUCWQI9AiICCQHyAdwBxwGyAZwBhAFoAUsBLQEPAPYA4QDSAMYAvQC0AKgAmQCHAHIAXgBKADcAIwAN//H/z/+m/3b/Qf8K/tL+mv5i/ir98P2z/XP9L/zp/KP8Xvwc+9/7p/t2+0z7KPsI+uz60Pqv+ob6VPoY+dX5j/lL+Q/42/ix+I74bvhM+Cf3/PfM95r3Z/c29wb21/ao9nn2S/Ye9fb11PW59aP1kPV+9Wn1UPU09Rf0/PTl9NL0wvS09KT0kfR79GL0SfQv9Bfz//Pl88fzpfN/81XzLPMF8uTyyfKz8qDyjPJ08lfyM/IJ8dzxrfF/8VTxLPEI8OXwxPCi8H7wWfAx8Anv4e+775jvd+9Z7z3vI+8J7u/u1+7B7q7une6P7oPud+5s7mLuWO5P7knuRu5E7kTuRe5G7kfuSO5K7k3uUO5U7ljuWu5c7l7uYe5m7m7uee6G7pLunu6n7q7utO677sTu0O7f7vDvAu8V7yfvOe9L713vcO+C75Tvpe+078Pv0u/i7/PwBPAW8CjwOfBL8F3wcfCI8KLwvvDZ8PPxCvEe8TDxQfFV8Wzxh/Gl8cfx6vIO8jPyWvKC8qry0vL38xfzMvNH81jzZ/N584/zrfPR8/v0KfRY9Ib0s/Td9QX1LPVU9X31qfXa9hH2T/aW9uX3PPeZ9/n4W/i9+Rz5efnS+ib6dvq++wD7Ofts+5n7xPvy/CT8Xvyg/Oj9Mv17/cD9/v42/mf+lv7F/vb/Lf9r/7IABABhAMoBPQG4AjUCrgMbA3cDvwPxBBAEIwQwBD4EUQRrBI4EtwTlBRYFSQV9BbIF5gYbBk8Ggga0BuUHGAdLB4AHtQfpCBkIRghyCJ8I0gkOCVcJqwoHCmUKvQsKC0gLdwubC7sL4AwPDE8MoQ0EDXQN7Q5nDt8PUA+4EBgQcBDCERERXBGlEesSLhJuEqoS4xMYE0kTcxOSE6MTnxOFE1MTDxLAEnESLhICEfER/hIkElwSnRLdExYTQhNjE3kThxOSE50TqhO5E8oT3RPvFAEUERQgFC8UPxRSFGgUghSgFMEU4hUCFSAVPBVWFW8ViRWlFcMV5BYIFi4WVxaBFq0W2hcHFzIXXBeDF6cXyhfqGAoYKxhLGGkYhhifGLUYyBjaGOwZABkXGS8ZRxleGXEZgBmLGZIZlhmXGZUZkBmJGX4ZcxlpGWAZXBlZGVgZVBlKGTgZHxj/GN4YwBipGJsYlxiaGJ8YpBikGJ4YkRh+GGgYTxg3GB4YBxfwF9oXxxe4F64XqxevF7sXyxffF/IYAhgOGBUYFhgTGAwYAxf3F+kX2BfEF64XlxeBF20XWxdOF0EXNBckFw0W8BbLFqMWeBZOFiYV/xXYFa8VgxVTFSAU7RS+FJcUeBRhFE8UPxQuFBkT/xPiE8QTpxOQE30TbxNkE1kTTRM+E0kTOBMiEwYS6hLOErcSpRKZEpASiBJ9Em4SWRJAEiUSCxH1EeQR2RHSEcsRwRG0EaIRjhF4EWMRUBFAETERIxEVEQYQ9xDpENwQzRC8EKMQgRBUEBwP2w+VD00PBg7DDoUOSg4UDeENsg2HDWANOw0YDPUM0AypDIAMWAwwDAoL4gu2C4ELQgr3CqIKRwnqCZIJQgj8CL4IhQhQCB0H7QfAB5kHegdiB1EHRQc6BzAHJQcaBxAHCQcHBwoHEAcYByEHKgcxBzUHNgc1BzEHKwckBx0HFwcVBxYHGQceByIHIwceBxQHBgb0BuIG0QbDBrYGqQabBooGdAZbBkAGJgYOBfsF7gXmBeAF2gXQBcAFqQWNBW8FVAVBBToFPgVMBV4FbgV3BXQFZQVMBS8FEwT7BOkE3ATTBMgEvAStBJ0EjQSBBHgEcwRvBGoEZARbBFIESwRIBEgESwRLBEYENgQcA/kD0QOqA4oDdANpA2gDbQN2A34DhgOLA5ADkwOTA5ADhwN1A1oDNAMFAs8ClQJZAh4B5gGwAX4BUAElAP4A2QC4AJsAhAB0AGsAaABqAG4AcQBwAGgAWQBEACsADv/v/83/p/9+/1P/Kv8I/vL+6/7x/wL/FP8h/yH/D/7r/rj+fP46/ff9tf10/TL88vyz/Hv8S/wl/Av7+fvt++H71PvG+7b7p/uZ+437gftw+1n7OfsS+uX6uPqO+mj6SPos+hD58/nR+az5hvlg+Tz5HPj/+OX4zPiy+Jj4ffhj+En4Mfgc+An3+Pfo99n3y/e996/3oveW94n3fPdu91/3Tfc59yX3EfcB9vX27vbr9un25/bg9tX2xfax9pz2ifZ69nD2a/Zn9mP2XPZT9kf2OvYv9if2JvYr9jX2QvZN9lT2U/ZH9jP2F/X59d/1zvXH9c312vXp9fb1+/X19eX1z/W59ab1mvWW9Zj1nPWe9Zz1lPWJ9Xz1cfVo9WL1YPVe9Vz1VvVN9T/1LvUa9QX08PTd9Mv0vfSy9Kr0pfSh9J70mvSV9I/0h/R/9Hf0b/Ro9GD0WPRP9Eb0PfQ09C70K/Qt9DP0PfRJ9FX0X/Rl9Gb0YvRc9FT0TvRN9FL0XPRr9Hz0i/SW9J30n/Se9J30nvSk9K30uvTK9Nv07PT/9RP1KvVF9WP1hfWn9cj15/YD9hv2MfZF9lf2afZ69on2mfao9rf2x/bZ9uz2/vcP9x33Jfco9yT3HfcT9wv3CPcO9yD3P/dt96b35/gq+Gn4nfjC+NT41fjH+LL4nfiO+Iz4mfi3+OL5GflV+ZP50PoI+jv6ZvqK+qj6wPrU+uT68vr9+wf7DvsT+xb7GPsb+yD7J/s0+0X7W/t0+5L7sfvS+/P8FPw0/FX8dPyT/LP80/z0/Rb9Ov1e/YP9p/3K/ez+C/4n/kH+WP5t/n/+jv6b/qb+r/65/sT+0/7p/wn/Nf9v/7cACgBmAMUBIwF8AcwCEwJSAosCwALwAx0DRgNpA4QDlwOkA6wDsAOzA7UDuAO7A74DwgPGA84D2wPsBAMEHgQ5BFIEZARvBHIEbQRjBFoEUwRSBFgEZgR5BI8EpQS5BMgE0wTYBNgE1gTRBMsExQTABLsEtwSyBKwEpQScBJQEjgSNBJEEnQSxBMkE4wT7BQ8FHAUiBSQFIwUjBScFLwU6BUYFUAVXBVgFUwVIBTsFKwUbBQsE/QTwBOUE3ATTBMsExAS7BLIEpwScBJAEhAR7BHMEbwRuBG8EcgR2BHkEewR6BHcEcARmBFgERgQzBB4ECwP7A+4D5wPjA+MD5APmA+YD5QPiA98D3APZA9YD0gPKA78DrgOZA4IDawNXA0cDOgMvAyQDFQMCAuoCzgKvApECdQJaAkACJgIMAfIB3AHLAcMBxAHOAd4B8QICAgwCDgIIAfwB7gHgAdYB0AHOAc8B0gHUAdUB1AHQAcoBxAG+AbwBvQHDAc4B2wHoAfUB/gIDAgYCBgIHAgoCDgIUAhwCJAIsAjQCPAJEAk4CWQJjAm0CdgJ+AoQCiwKRApgCnwKmAqsCrwKyArUCuQK+AsYC0ALbAugC9gMEAxQDJQM4A0wDYgN3A4wDoAOzA8UD2APsBAEEFwQsBD8EUARcBGQEZwRkBF4EVARJBD8ENwQ1BDgEQQROBF4EbwR+BIoElASaBJ0EnQScBJoEmASZBJ4EqQS7BNQE8wUWBTsFYQWHBa0F0gX1BhQGKQYxBikGEAXqBb4FlwV+BXsFkAW6BfIGLwZnBpMGrga4BrcGrQagBpMGiQaCBn0GewZ7Bn4GgwaJBo4GkgaPBoUGcQZUBjAGCAXfBbkFlgV3BVwFQwUqBRAE9ATXBLoEngSDBGsEVQRABCoEEwP6A98DwwOkA4UDZQNEAyMDAgLjAsUCqgKQAncCXwJHAi8CFwIAAeoB1QHAAakBjgFuAUsBJQEAAOAAxgCzAKgAoACYAI4AgQBvAF0ASwA9ADMAKwAkABkABf/p/8H/kP9Z/x3+3/6g/l7+G/3U/Yn9PPzt/KD8VfwO+8z7kftc+y77B/ro+tD6u/qm+oz6avo9+gX5xfmA+T34//jJ+Jz4dPhO+Cf3/PfM95j3Yvcr9vX2wfaO9l32LPX/9db1svWT9Xv1ZfVS9T31KPUR9Pr05PTP9L30rPSb9If0cfRY9D70JPQK8/Lz2/PC86bzhvNi8zzzFvLy8tLytvKf8orydPJc8j/yH/H68dLxqfF+8VTxK/EC8Nrws/CN8GbwPvAX7/DvzO+p74rvbu9V7z7vJ+8R7vru5e7Q7r7uru6f7pHug+507mTuU+5E7jfuK+4i7hruEu4K7gPt/u367fnt+u397gDuAu4C7gLuAu4E7gnuEe4c7ifuMu487kTuTe5X7mTudu6K7qHuue7R7uju/u8U7yrvQO9V72jveO+F75Dvmu+l77HvwO/S7+fv/vAY8DTwU/B28JrwvvDf8PvxEfEh8S3xOfFH8VvxdPGS8bTx1vH48hryO/Je8oTyrfLX8wDzJ/NJ82bzgPOY87DzzPPt9BP0PfRq9Jj0xPTv9Rf1O/Ve9YD1o/XJ9fT2JvZh9qT27vc994/34fgz+IX41/kq+X751Poq+n36yvsQ+037gvuy+9/8DvxB/Hn8tvz3/Tr9ff3B/gX+Tf6X/uf/O/+T/+8ATQCvARUBfgHqAlUCuwMXA2IDmwPAA9YD4QPqA/cEDAQsBFQEhAS3BOwFIgVYBY8FxgX9BjIGZQaWBsUG9AckB1cHjAfCB/UIIwhMCHEIlwjDCPsJQgmXCfcKWwq7Cw8LUwuHC68L0gv6DC8MdwzUDUQNwQ5EDsQPPA+mEAMQVBCeEOQRKBFuEbMR+BI6EnkStRLvEyQTURNyE4ATdBNNEwwSuBJgEhER2xHHEdkSDBJWEqgS9RM0E10TchN4E3UTcBNvE3UTghOVE6sTxBPdE/UUDRQkFDsUUhRpFIEUmhS0FM8U7BUJFSYVQxVhFX8VnxW/FeEWBRYqFk8WdhafFskW9hcjF1AXfBemF8wX7xgPGC4YTBhqGIgYpRi/GNcY6xj9GQ4ZIBkyGUUZWBlpGXcZgRmGGYgZhxmDGX0ZdhlsGWAZVRlLGUMZPhk7GTgZMhkmGRMY+RjaGLoYnRiIGHsYdxh5GH0Yfxh6GG8YXRhGGC0YFRgAF+wX2xfLF7wXrxelF58XoBeoF7YXyBfaF+sX9xf9F/0X+BfxF+gX3xfWF80XwReyF6EXjhd6F2gXWBdLFz8XMhcjFxAW+RbeFsEWoxaFFmcWSBYmFf8V1BWjFXAVPhUOFOQUwBSiFIYUaxRMFCoUAxPaE7ITjxNzE2ATVhNTE1QTVRNSE2UTWRNDEycTCRLtEtcSyBLBEr0SuBKvEp8ShxJoEkYSJBIFEewR2RHJEbsRrRGcEYsRehFrEWARWhFZEVoRXBFdEVwRVxFNET4RKBEIEN4QpxBnEB4P0Q+EDzkO9A61DnwORw4WDekNwA2cDXsNWw06DRYM7Qy/DI8MXgwtC/8L0AucC2ALGQrGCmkKCAmqCVcJEQjaCK4IiwhrCEkIJQgAB9sHugeeB4cHdAdkB1UHRgc4BysHIQcbBxoHHAchBygHLwc1BzoHPAc8BzoHNAcuByYHIQcdBx4HIQcmBysHLgcsByUHGAcIBvYG5AbUBsYGuQasBpwGigZ1Bl0GRAYtBhgGCAX7BfAF5QXWBcIFqAWJBWsFUQVBBT0FRAVVBWkFeQWBBX0FbQVVBTgFHQUEBPAE3gTNBLsEpgSQBHwEbARiBF4EXgRgBGAEXARVBE0ERgRCBEIERARCBDoEKQQNA+kDwgOdA38DawNhA18DYQNkA2YDZgNlA2IDXwNbA1QDSAM2AxsC+QLQAqICbwI5AgEByQGSAV4BLgEEAN8AvwCkAIsAdgBkAFYATgBKAEoASwBLAEYAPAAsABb//f/h/8H/nf9z/0b/GP7v/tH+w/7F/tX+7P8B/wv/Av7l/rX+eP4y/en9of1b/Rf81vya/GT8N/wW+/777/vk+9r7zvvA+6/7nvuM+3v7Z/tO+y37BPrV+qT6dPpK+if6C/ny+dn5u/mZ+XL5SPkf+Pn42fi/+Kn4lPh/+Gn4T/g0+Bf3/Pfj9873vvey96n3ofeZ95D3hfd592v3XfdN9zz3KPcT9vz25PbP9r72s/at9qz2q/ao9p/2j/Z59l/2RfYv9h72E/YO9gv2CPYC9fv18fXn9d712fXZ9d/16fX09f32AvX/9fT15PXQ9b/1s/Wx9bn1yPXa9er18vXx9eb11PXA9a71oPWY9ZP1j/WJ9YD1cvVi9VH1Q/U49TD1LPUo9SP1HPUS9Qb09/Tn9Nj0yvS99LP0q/Sl9KL0oPSe9Jv0lfSN9IH0c/Rk9Fb0S/RC9D30OvQ49Df0NPQu9Cf0H/QZ9Bb0F/Qd9Cb0MvQ89ET0SPRI9Ef0RvRI9FD0XPRs9Hz0ivSU9Jj0mfSX9Jf0mfSg9Kr0t/TE9NL03/Tu9P/1E/Ur9Uj1ZvWF9aP1v/XY9fH2CPYf9jX2S/Zf9nD2f/aM9pf2ofat9rv2yfbX9uX28Pb49v33APcF9wz3Gvcy91b3h/fC+AT4SPiF+LT4zvjS+L/4m/ht+EH4H/gQ+Bf4Nvhq+K34+flJ+Zf54foj+l/6kvq8+uD6/PsT+yT7Mfs6+0D7RPtG+0f7SPtL+1L7Xftu+4T7ofvB++X8C/wy/Fr8gvyq/NH8+P0f/Ub9bP2T/bn93f4B/iP+RP5l/oX+pf7E/uL+/v8W/yn/OP9D/0v/Uv9Y/2D/a/96/5H/sP/cABUAWgCqAQABWAGsAfcCOgJyAqQC0QL9AykDVgOAA6cDxwPhA/MD/wQHBA0EEQQWBBoEHwQkBCkEMAQ4BEMEUQRgBG8EfQSHBIwEiwSHBIEEfAR7BH4EiASYBKwEwwTZBO4E/gUJBQ4FDwULBQUE/gT2BPEE7QTqBOcE5ATfBNkE0wTPBM4E1QTiBPYFDQUlBToFSQVRBVQFVAVSBVIFVQVZBV4FYQVgBVoFTwVBBTAFHgUNBP0E7wTiBNgE0ATJBMQEwQS/BLwEuASzBKwEowSZBI8EhQR8BHYEcgRwBHAEcQRyBHIEcARpBF4ETwQ+BCoEFwQHA/oD8gPuA+8D8gP2A/oD/gQDBAgEDgQTBBgEGAQSBAMD7APOA6sDiANpA1ADPgMwAyIDEQL5AtgCsAKCAlMCJAH5AdMBsgGWAYIBdgF0AX8BlAGwAc8B7AIBAgsCDAIFAfsB7wHnAeAB3AHYAdMBzQHGAcEBvwHBAcYBzQHVAdsB3wHiAeUB6QHvAfgCAQIKAhICGQIeAiECJQIpAi4CNAI6AkICSgJTAl0CZgJvAncCfgKEAokCjgKVApwCpQKuArcCvwLHAs8C1wLhAu0C+gMIAxcDJQM1A0UDVwNqA38DlQOqA74D0APgA+4D/QQMBB0ELwRBBFMEYgRtBHQEdgRzBGwEYgRZBFIETwRTBFwEaQR4BIYEkQSYBJsEmwSaBJkEmgSdBKMErQS7BM8E6gUNBTQFXgWHBagFwQXOBdIFzAW/Ba0FkwVzBUwFIAT1BNIEwwTOBPkFQAWeBgUGaQa8BvcHFgccBw8G9QbVBrQGkwZ2BlwGSAY7BjkGQwZYBnQGkwauBr8GxAa4Bp8GfAZSBicF/QXVBbAFjAVoBUQFIAT9BNwEvgSiBIkEcQRZBEAEJQQJA+0D0AOyA5MDdANSAzEDEALwAtQCvAKmApECfAJlAksCLwITAfgB3gHGAa4BkwF0AVABKAEBAN0AwQCtAKEAmgCUAIsAfABpAFMAPwAvACYAIwAiAB8AFgAC/+P/uf+G/0z/Df7L/oX+Ov3s/Zn9RPzu/Jv8TPwC+777gftK+xr68/rV+r/6sfqn+pz6ivpt+kL6CvnH+X75Nvjz+Lf4gvhS+CT39ffE95D3Wvck9u72u/aI9lb2JfX19cf1nvV59Vr1QfUr9Rj1BvT09OH0zvS79Kf0k/R+9Gj0UPQ29B30A/Pq89LzufOf84LzY/NB8x/y/vLf8sPyqvKS8nnyX/JD8iXyA/Hg8bvxlfFs8UPxGPDu8MPwmfBx8EnwI+/+79vvue+a737vZe9P7zvvKe8X7wTu8e7f7szuue6m7pPuf+5p7lLuPO4n7hPuAu307eft2u3P7cXtve247bbtt+257brtu+257bbttO207bbtvO3F7c/t2O3g7ent8u3/7hDuJe4/7lvud+6R7qvuw+7c7vXvDu8m7zzvTu9b72Xvbe9174Dvju+h77nv0+/y8BPwN/Bd8ITwqvDN8OvxAvEV8SXxNPFI8WDxfvGh8cXx6PIL8ivyTPJu8pXywPLw8yLzVPOC86vzz/Pt9Aj0I/Q+9Fv0fPSg9Mf08PUZ9UH1Z/WJ9aj1xPXf9fz2HvZH9nn2svbz9zf3fffC+Ab4SfiN+NX5Iflz+cf6HPpv+rv7Afs/+3f7rPvg/Bb8UPyN/M/9Fv1j/bf+Ev51/tz/R/+wABcAeQDWATIBjwHuAk8CrgMGA1ADhwOpA7oDvwPAA8cD2AP2BCAEUgSIBL4E9AUpBV8FmAXTBg4GSQaBBrUG5gcWB0cHewewB+UIFghBCGYIhgimCM4JAQlECZcJ9QpYCrkLDwtXC5ELvwvpDBgMVAyhDQANcA3oDmIO1Q88D5cP6BAyEHsQxREREV8RrRH3Ej4SgRLBEv4TMxNaE2sTYBM1Eu0SlBI5Ee4RwxHDEe0SORKXEvYTRRN8E5YTmhOOE38TcxNxE3kTiROeE7YTzRPkE/sUEhQqFEMUXBR1FI4UqBTBFNwU+RUWFTUVVBV0FZUVthXZFf4WJBZLFnIWmhbDFu0XGBdFF3EXnRfGF+wYDhguGEsYZxiDGJ8YvBjYGPIZCRkeGTEZQhlSGWAZbBl2GX4ZghmDGYIZfhl4GXAZZxldGVEZRRk5GTAZKBkiGRwZFRkLGPwY6RjTGL0YqRiZGI4YhxiCGHsYcBhhGEwYNRgdGAYX9BfmF9wX0xfKF8AXtRerF6MXoRelF64XuxfJF9MX2RfZF9UXzRfFF74XuRe1F68XqBedF48XgBdwF2EXVRdJFzwXLhccFwYW7xbWFr0WpRaOFncWXRY/FhwV8xXHFZgVaRU8FREU5xS+FJUUaRQ8FAwT2xOtE4MTYRNKEz4TPhNGE1MTXxNnE38TbxNUEzITDxLxEtsSzhLIEsUSwBKzEp4SgBJcEjUSERHxEdgRxRG3EaoRnxGUEYsRhRGDEYgRkRGfEa0RuhHBEcERtxGhEYERUxEbENcQixA7D+oPnA9VDxUO3A6pDnkOSw4eDfQNzA2oDYgNaQ1KDScM/wzSDJ8Magw1C/4LxAuGCz4K7AqRCjAJ0Al4CS8I9wjPCLUIoQiNCHUIVwgyCAoH4ge+B58Hhwd0B2UHWAdNB0IHOQcxBywHKAcnBygHKwcvBzQHOAc8Bz0HPAc6BzcHNAcyBzIHNAc3BzoHOgc2By4HIgcTBwMG8gbjBtYGywbABrYGqgacBosGeAZjBk8GOgYnBhQF/wXoBc4FsAWSBXYFYAVVBVQFXQVsBXsFhgWJBYEFcQVbBUMFLAUYBQUE8ATaBMAEpASKBHQEZgRhBGIEZwRrBGsEZQRbBFEESARDBEMERARCBDkEJwQLA+gDxAOiA4cDdQNrA2YDZANhA1wDVQNMA0IDNwMrAxwDCQLxAtUCtgKUAnACSgIhAfMBwQGMAVYBIwD2ANAAsQCXAIAAaQBSADsAKAAZAA8ACQAGAAH/+v/t/93/yv+0/5v/fv9c/zT/Cf7g/r/+rf6t/r3+2P70/wX/BP7r/rz+e/4v/eD9k/1K/Qb8yPyP/F38NPwV+/778Pvm+9z70vvD+7L7n/uK+3L7Vfsy+wb60/qb+mT6MPoE+eL5yPmy+Zz5gvli+Tz5FPjs+Mf4qPiP+Hr4ZvhS+Dv4IfgD9+T3xfeq95T3hfd893j3d/d193D3Z/db90v3OPck9w729/bf9sX2q/aT9oD2c/Zs9mr2avZn9l/2T/Y49h32AfXn9dP1xfW99bj1tPWu9af1nfWT9Yn1gvV/9YH1h/WP9Zn1ofWm9aX1oPWZ9ZL1jvWQ9Zn1p/W49cb1zvXP9cj1vPWt9Z/1k/WK9YL1ePVr9Vr1RvUx9R31DPT/9Pf08fTs9Of04PTY9M/0xvS99LX0rvSp9KX0o/Sg9J30mvSV9I30gvR09GP0UfQ+9C30H/QV9BD0D/QR9BP0FPQS9A30BfP98/jz9vP69AP0EPQd9Cn0MvQ39Dr0PfRC9Ev0WPRm9HT0gPSI9I30j/SR9JT0mvSh9Kr0svS49L30w/TM9Nn07PUF9SP1QvVi9YD1nPW39dH17PYI9iP2PPZS9mT2cfZ69oH2h/aN9pT2nfan9rP2v/bL9tr26/b/9xr3PPdm95n30/gR+E/4hPir+L74t/iX+GT4Jffm97P3lfeU97H36vg4+JT49vlW+bD6AvpJ+ob6uvrl+wj7JPs7+077XPtp+3P7e/uC+4r7kvuc+6n7u/vS++78Dvwy/Ff8f/yn/M/89v0e/UX9a/2S/br94/4O/jn+Y/6M/rL+1v73/xf/Nf9S/27/h/+e/7H/wf/O/9n/4//u//oACAAYAC0ASQBuAJ8A3AEkAXIBwgIOAlECiQK3AtwC/gMfA0IDaAOQA7gD3QP+BBgELQQ+BEwEVwRiBGwEdQR8BIEEhASHBIkEjQSSBJkEoQSpBLAEswS0BLIErwSuBK8EtQTABNAE4wT5BQ4FIQUxBTwFQwVGBUYFRAVCBUEFQQVEBUcFSgVJBUUFPAUyBSkFIwUlBS4FPgVTBWgFegWGBYwFjAWHBX8FdwVuBWYFXAVRBUUFNwUpBRoFDAUABPQE6gThBNsE2ATYBNsE4ATlBOkE6wTpBOEE1QTEBLAEmwSIBHYEaQRhBF4EXwRhBGMEYwReBFUERgQ0BCAEDgP+A/QD7gPvA/QD/AQHBBIEHQQpBDMEPQRHBE0ETwRJBDoEIAP8A9EDpQN7A1cDOQMiAwwC8wLTAqoCeQJCAgoB0wGhAXYBVAE7AS0BLQE7AVcBfwGuAdsB/wIWAhwCFAICAe8B4AHXAdQB1QHVAdIBygG/AbYBsQG0Ab4BzQHdAesB9AH4AfkB+gH9AgQCDwIcAikCNAI8AkECRAJGAkkCTAJQAlUCXAJjAmoCcQJ3AnwCfwKCAoUCiAKNApUCoAKtArsCygLaAukC+AMHAxYDJQM0A0IDTwNdA20DfgOQA6UDugPPA+ED8gP/BAwEGAQkBDIEQQRQBGAEbgR5BIEEhgSGBIMEfwR7BHkEewSBBIsEmASjBKsErgSrBKUEnQSXBJUEmQSjBLMEyQTlBQkFMgViBZQFxAXrBgQGCQX6BdgFqAVuBS8E8ASzBHoESgQoBBoEJwRTBJ8FBgV/BfsGbQbKBwsHMAc7BzMHHgcBBt4GuAaPBmgGRgYwBioGNwZXBoUGuQbpBw4HIAceBwoG6Aa9Bo4GXgYvBgEF0gWjBXQFRgUbBPYE1gS8BKUEkAR5BGAERAQmBAcD6APKA6wDjgNuA00DLQMOAvMC3ALIArQCoAKHAmsCSwIqAgoB7AHRAbcBnAF8AVgBMQEJAOUAyAC0AKgAogCbAJIAhABwAFgAQQAuAB8AFgAQAAn//P/n/8n/o/92/0T/D/7V/pf+VP4J/bf9Yf0I/LD8XPwM+8T7gvtH+xT66vrK+rT6qPqh+pv6kPp6+lX6Ifnf+ZT5R/j9+Lj4fPhF+BP34vex93/3TPca9uj2t/aH9lb2I/Xx9b/1kPVm9UL1JfUN9Pr06fTY9Mf0tPSg9Iv0dPRe9Eb0LvQW8/3z5fPM87LzmPN7813zPvMf8wLy5/LO8rfyofKJ8m/yU/Iz8hLx7/HM8ajxgvFb8THxBfDY8KvwgPBX8DHwDu/t783vr++U73rvZO9R70DvMe8h7xHu/+7r7tTuvO6i7ofua+5Q7jTuGu4B7evt1+3F7bTtpe2X7Yztg+1+7X3tf+2B7YPtg+2B7X3teO127Xbteu2A7YjtkO2Y7aHtrO287dHt6u4H7iXuQ+5e7nbuju6l7r3u1u7u7wTvF+8l7zDvOe9D71DvYu9475LvsO/Q7/HwFPA38FrwffCd8Lvw1fDu8QfxIvFA8WTxi/G08d7yBfIq8kzybvKT8rvy6PMZ807zgvO18+b0EvQ59F30fvSd9Lv02PT49Rr1QPVp9ZP1vPXi9gH2GPYp9jX2QfZS9mv2j/a+9vX3Mfdu96r34/gZ+FH4i/jL+RL5Xvmt+f76Tvqb+uT7Kvtw+7X7+vxC/Iz82/0w/Y398/5h/tT/SP+3AB0AegDOAR0BbwHHAicCiwLuA0QDhgOuA78DvQOzA60DtAPKA/EEIgRZBJAExQT5BS4FZgWkBecGKwZtBqwG5AcZB0sHfQeyB+cIHAhNCHgInQi8CNoI/gkrCWcJsgoKCmkKyQsiC3ALsAvkDBMMQgx6DL8NEw10DdsORA6qDwkPZA+8EBQQbRDHESERdhHHEhESVxKbEtsTFRNCE1oTUxMsEugSkRI7EfcR1xHiEhcSahLKEyUTaxOVE6QTnRONE34TdhN5E4cTmxOxE8cT2hPtE/8UFBQrFEMUXhR5FJUUsRTOFOwVDBUsFU0VbBWLFaoVyxXtFhMWPBZnFpMWwBbsFxcXQRdqF5MXuhfgGAQYJRhDGF8YehiVGLEYzRjpGQQZHRkzGUcZVhljGWwZcxl4GXoZexl6GXcZchlsGWQZWhlPGUMZNxksGSEZGBkPGQgY/xj2GOsY3xjRGMQYtxirGJ8YkxiFGHQYYBhJGDEYGBgCF/AX4hfYF9EXyxfDF7kXrRehF5gXkxeVF5sXpRevF7UXuBe1F64XphegF5wXmheXF5MXjBeBF3QXZxdbF1IXSxdEFzkXKBcSFvcW2ha9FqQWjRZ5FmQWTBYvFgwV5hW9FZMVaBU8FQ4U3BSnFG8UNhP9E8gTmRNxE1ITPhM1EzcTQhNUE2gTeROCE5kTfhNXEyoS/xLcEsISsxKrEqQSmRKHEm0STBIqEgkR7xHcEc8RyBHCEb0RtxGxEawRrBGxEbwRzRHhEfUSAxIHEf8R6BHBEYoRRhD4EKMQTA/3D6kPZA8pDvYOyQ6gDnYOSw4fDfMNyQ2kDYINYw1EDSMM/gzUDKQMbww3C/oLuAtvCx4KxgppCgsJsgllCSYI+AjYCMIIsAibCIAIXgg1CAgH2wezB5IHeQdpB18HWQdVB1EHSwdDBzoHMgcrBycHJwcqBy8HNQc6Bz4HPwc/Bz0HPAc6BzoHOgc6BzkHNgcwBygHHgcSBwUG9wbrBuAG1wbQBsoGwwa8BrEGpAaTBoAGagZUBj0GJAYJBesFywWrBY4FeAVqBWUFaAVuBXQFdgVyBWgFWgVMBT4FMgUnBRkFBwTuBNEEswSXBIQEegR6BIAEhwSJBIUEeQRpBFkETARGBEUERgRFBD0ELQQUA/QD1AO2A54DjgODA3sDdANrA2ADVANHAzoDLAMcAwgC7wLTArQClQJ4Al4CRAIoAgYB3AGqAXMBPQEKAN8AvQCgAIYAawBNAC0ADf/x/9v/zP/C/7r/sf+m/5j/iP94/2f/U/86/xz++P7T/rT+ov6i/rX+0/71/w3/Ev79/s7+i/47/en9mf1Q/Q780vyc/Gz8Qvwh/Aj7+Pvt++T72vvN+7v7pvuM+277Sfsd+uj6rPps+i359PnF+aD5hvlx+V/5Svkw+RH47/jM+Kv4jvh0+F74SPgx+Bj3+vfa97f3lfd39173TvdF90P3RfdG90P3O/ct9xn3Afbo9s32svaX9n32ZPZP9j72NPYu9i32K/Yn9h32DfX29dz1wvWq9Zf1iPV99XT1bPVj9Vr1UPVG9T31N/Uz9TP1NvU89UX1TvVW9V31YfVi9WP1ZfVp9XD1efWA9Yb1hvWB9Xj1bvVk9V31WPVW9VL1TPVA9S71GPUB9Or01/TI9L70t/Sz9K/0q/Sm9KH0m/SX9JT0k/ST9JT0lPSS9I70hvR69Gv0WPRD9C30F/QD8/Hz4/PZ89Pz0PPR89Pz1fPW89Tz0fPO88vzzfPT897z7PP79Ar0FvQg9Cj0MPQ59ET0UPRc9Gf0cPR39Hz0gPSG9I70l/Se9KT0pfSj9KD0nvSi9K30wPTb9Pv1HfVA9WH1gfWg9b/13/X+9hv2NfZJ9ln2Y/Zp9m72cvZ29nv2gfaI9pH2nPar9r721/b39x73S/d+97X37vgl+FX4ePiK+IX4avg69/33vPeD9133Ufdl95j35vhG+LH5HfmD+eD6Mfp2+q/63fsD+yL7PPtS+2b7evuN+6D7s/vE+9b75/v6/A78Jfw//Fz8e/yd/MD85P0J/S/9VP14/Zz9v/3j/gn+Mv5e/o7+v/7v/x7/SP9u/4//rf/H/9//9QAJABwALAA7AEkAVwBmAHcAigCgALsA3gEIAT0BewG/AgcCTAKMAsIC7QMQAysDQwNbA3UDkgOwA9AD7gQLBCcEQARXBG0EgQSUBKQEsQS8BMMExwTJBMkEyATIBMkEzATSBNgE3QTiBOUE5gToBOsE7wT3BQEFDgUdBSwFPQVNBVwFagV2BX4FhAWHBYoFjgWSBZcFnAWfBZ0FlQWJBXsFbwVoBWoFdAWFBZkFrAW7BcIFwQW4BagFlAV+BWgFUgU+BSwFHQUPBQQE+wTzBO4E6wTrBO4E9gUDBREFIAUrBTEFLwUkBREE9gTWBLUElAR4BGIEVARMBEoETARPBFAETQRGBDoEKgQaBAoD/QP1A/ID9QP9BAkEGAQnBDYEQwRNBFUEWgRfBGEEYQRcBE8EOAQWA+sDugOHA1YDKwMEAuACvAKTAmQCLwH2AbwBhgFWAS4BDgD5AO8A8wEIAS8BZAGiAd8CEgIyAjsCLwIWAfcB3AHLAcQBxQHKAcsByAHAAbYBrwGtAbIBvQHLAdgB4gHqAfAB9gIAAg4CHgIvAkACTQJXAl0CYQJjAmYCaAJrAm0CbwJyAnUCeAJ9AoEChQKIAooCjQKRApkCpAKzAsYC2wLxAwYDGwMvA0EDUANfA2sDeAOEA5IDoQOzA8cD2wPuBAAEDwQcBCgEMgQ9BEkEVQRiBG8EewSFBI4ElgScBJ8EogSkBKcEqwSxBLkEwATFBMcExAS9BLMEqQSiBKIEqQS4BM8E7AUQBTgFZgWXBccF8wYUBiQGIAYFBdYFlQVJBPcEpQRZBBYD4QO/A7cDzQQCBFUEvwU3BbAGHwZ8BsUG+AcZBywHMwcwByEHBQbfBrQGiQZoBlkGYAZ9BqoG3wcRBzcHSgdLBzoHHgb8BtgGtAaPBmcGOgYFBcsFjwVUBR8E9ATSBLgEpASSBH4EZwRNBDAEEQPyA9MDsgORA20DSgMnAwgC6wLTAr0CqAKQAnYCWgI8Ah8CAgHnAcsBrgGNAWgBQAEYAPQA1wDCALQAqgCiAJYAhgBxAFkAQgAsABoACf/4/+T/y/+s/4j/YP84/xD+6P6//pL+Xf4f/df9hf0t/NL8efwj+9T7jPtM+xX65/rC+qj6lvqJ+n36a/pQ+if58Pmv+Wb5G/jV+JT4W/go9/j3yveb92v3O/cK9tr2qfZ49kb2E/Xg9a31fvVT9S/1EfT49OL0z/S79Kf0kvR89Gb0UPQ59CL0C/P0893zxPOr85HzdfNY8zrzHfMC8uny0vK/8qzymfKE8mzyUfIy8hHx7/HL8abxf/FW8Srw+/DM8J3wcPBH8CLwAe/k78nvsO+Y74Lvbu9d70zvPe8t7xvvBu7u7tPute6W7nbuV+457h3uAu3q7dPtve2o7ZPtf+1t7V3tUe1J7UftSO1L7U3tTu1L7UftQe087TrtPO1B7UntU+1f7W3tfu2T7aztye3o7gfuI+497lPuZ+567o3uoe617sju2e7n7vPu/+8N7x/vNO9N72rviO+o78jv6PAI8CfwRvBj8IHwnvC88NzxAfEq8VbxhfG08eDyCfIv8lPyd/Kc8sXy8PMe807zfvOw8+H0FPRH9Hn0qvTX9QD1JvVJ9W31k/W99er2GPZD9mb2ffaH9ob2f/Z39nf2gvab9sL29Pcr92L3lvfG9/P4H/hO+IL4vfj/+Uf5lPnl+jn6kPrq+0X7ovv+/Fv8uP0X/Xr94/5T/sb/N/+jAAMAVwChAOgBMgGIAewCXALNAzQDhQO3A8oDxAOwA54DmAOmA8gD+gQzBG0EowTXBQoFPwV7Bb4GBwZQBpYG1wcRB0gHfAexB+gIIQhZCI0IuwjiCQIJHwk+CWUJmgneCjIKkArxC04LnwvgDBIMOwxhDI4Mxw0PDWYNxw4uDpgPAg9rD9QQOhCcEPkRThGaEd8SIRJiEqIS3hMPEysTKxMLEtAShRI9EgkR9xIMEkQSlBLpEzUTahOGE4wThRN5E3ITdROBE5QTqhO/E9IT4xP0FAYUGxQzFE0UaBSDFJ4UuxTZFPkVGxU+FV8VgBWfFb4V3hYBFikWVRaEFrUW5RcUFz8XZxeNF7EX1Bf3GBgYORhZGHcYlBiwGMsY5hkAGRkZLxlDGVMZXxloGWwZbxlvGW4ZbBloGWQZXxlYGU8ZRhk7GTAZJhkcGRQZDBkDGPoY7xjkGNcYyxi+GLIYphiZGIsYexhqGFcYQxgvGBoYBxf0F+QX1RfIF7wXsRelF5kXjReDF30Xexd+F4YXkReaF58XoBebF5QXjBeGF4IXfxd6F3MXZxdYF0gXOxc0FzEXMhcyFywXHRcFFuYWxBakFokWchZeFkkWLxYQFesVwxWaFXEVSBUdFO4UtxR6FDkT+RO+E40TZxNPE0MTQRNIE1cTaxOCE5YTpBOmE6oTghNQExoS5xK+EqESjxKEEngSZxJQEjQSFRH6EeYR3BHbEd8R5hHqEekR4xHZEdARyRHIEc8R3RHvEgISDxISEgUR5xG2EXQRJRDOEHQQHg/OD4cPSw8XDukOvw6VDmoOPQ4PDeINtw2PDWsNSg0pDQcM4wy6DI4MXAwlC+gLpAtYCwUKrgpVCf8JsAlsCTQJCAjkCMYIqQiKCGcIPwgTB+cHvAeWB3kHZAdYB1QHVQdYB1kHVwdRB0gHPwc3BzIHMQczBzcHOgc6BzcHMgcqByIHGwcWBxMHEgcRBxAHDgcLBwgHBAb/BvkG8QbpBuAG2AbQBsoGwwa8BrIGpQaWBoUGcwZhBk8GOwYlBgsF7QXLBaoFjAVzBWIFWAVRBUwFRAU7BTAFJwUiBSAFIQUiBR4FEgT8BOAEwgSoBJYEkASSBJkEnwSfBJYEhgRyBF8EUQRKBEgESARGBD4ELwQYA/wD4APHA7QDpQOaA48DhAN2A2cDVwNIAzoDLQMeAwsC8wLXArgCmwKBAmwCWQJGAiwCCQHcAaYBbQE2AQcA4ADBAKUAiABmAEAAGP/x/8//tf+g/5D/gf9x/2D/UP9B/zP/Jf8T/vz+3/7A/qX+lf6X/qz+zv70/xH/Gf8G/tn+lv5I/ff9q/1l/Sf87vy4/Ib8WPwy/BX8APvz++n73vvP+7r7oPuA+1r7Lvr7+sH6gfo++f35wfmP+Wj5Tfk5+Sn5GPkF+O340vi1+Jj4ffhj+Ev4M/ga9/733ve695T3bvdM9y/3HPcR9w73D/cQ9w73Bfb19t32wfah9oL2ZPZI9jD2HPYO9gX2AfYA9gD1/fX29ej11PW89aL1ivV19WT1VvVK9UD1NfUr9SH1GPUR9Qr1BvUC9QH1AvUH9Q71GPUj9S71OPVA9Ub1S/VP9VH1UfVM9UL1M/Uh9Q30/fTy9O/08/T69QL1BvUD9Pj05/TS9Lz0qfSZ9I/0ifSH9If0h/SG9IX0gvR+9Hv0efR49Hj0d/Rz9Gv0XfRJ9DD0E/P189rzwvOu857zk/OK84TzgfOA84HzhPOI84vzj/OS85XzmvOi863zu/PL89zz7PP99Az0G/Qq9Dn0RvRR9Fr0YPRk9Gj0bvR29H/0ifSQ9JT0k/SP9Iv0ifSM9Jf0qvTD9OH1AfUi9UT1ZvWK9a/10vXz9g/2JPY09j72RfZK9lD2VvZc9mP2afZu9nX2f/aN9qL2v/bi9wv3Ofdq95z3zvf7+CH4PPhH+ED4KPgC99T3pveD93P3ffei9+H4NfiX+P/5Z/nH+h76afqn+tr7A/sk+z/7V/tt+4X7nvu5+9b78vwO/Cn8Qvxa/HH8iPyh/Lr81Pzv/Qz9K/1M/W/9k/23/dv9//4k/kn+cv6f/tD/A/84/2r/mf/C/+YABQAgADkAUABlAHoAjACcAKsAuADHANcA7AEIAS0BWwGTAdICFgJbApsC0wMCAygDRgNfA3UDjAOjA7oD0APlA/gECgQeBDMESwRkBH8ElwStBMAEzwTcBOYE7QTzBPYE9wT3BPcE9wT4BPwFAQUJBREFGQUiBSsFMwU6BUAFRgVMBVIFXAVoBXcFiAWZBagFswW5BboFugW7BbwFvwXCBcMFwAW6BbEFqQWkBaYFrwW/BdEF4gXuBfEF6wXbBcQFqQWLBWwFTwU1BR8FDAT+BPQE7QTqBOsE8AT7BQwFIgU8BVUFawV5BXoFbQVTBS0FAATRBKQEfQRfBEwEQwRBBEQESQRLBEoERAQ5BCwEHwQUBA4EDAQQBBcEIQQtBDkERgRRBFkEXgReBFwEWARTBFEEUAROBEkEPAQjA/wDygOQA1MDGALiArACgQJSAh8B6gGyAXsBSAEcAPYA1gC/AK8ArQC6ANsBEQFWAaMB6wIiAkICRgI1AhUB8gHVAcIBugG5AbsBugG2Aa4BpAGdAZkBmgGfAacBsQG9AcwB3gHzAgsCIwI5AksCWQJiAmoCcQJ3An4CgwKHAocChgKFAoQChQKKApECmQKgAqYCqgKvArUCvwLNAuAC9gMPAygDQANWA2kDegOIA5QDoAOrA7cDxQPVA+cD+gQMBB0ELQQ6BEYEUQRbBGQEbgR3BIAEiASRBJkEowStBLcEwATIBM8E1ATZBNwE4ATiBOIE4ATbBNMEzATHBMYEzQTcBPIFDwUxBVYFfAWhBcUF4wX6BgYGAwXwBcwFlgVRBQAEpwROA/kDswOBA2wDdwOkA+4EUAS/BTIFngYABlUGngbeBxQHPwddB2kHYQdGBx0G7wbGBqsGpAawBswG7wcPByYHMActByAHEAcBBvUG7QbkBtUGuQaPBlQGDQXABXUFMQT7BNMEtwSjBJMEgwRvBFcEOgQaA/cD0gOrA4MDWQMvAwgC5ALEAqkCkQJ8AmcCUwJAAisCFgH+AeMBxQGiAXwBVAEvAQ0A8gDcAMoAuQCnAJIAegBfAEYALgAZAAb/9P/e/8L/n/93/0v/H/73/tX+tv6Z/nj+UP4b/dn9i/0z/Nj8ffwm+9b7jvtO+xf66PrB+qL6h/pw+lf6OfoR+eD5pPli+R742/ie+Gj4OPgN9+P3uPeK91v3Kfb29sL2jvZa9ib18/XB9ZH1ZvVA9R/1AvTo9ND0t/Sf9If0b/RY9EL0LfQY9ALz7PPW877zpvOM83PzWPM+8yPzCfLy8tzyyfK38qfylvKE8nDyWPI88h3x+vHU8azxgfFT8STw9PDE8JbwavBC8B/wAO/k78zvtu+i747vfO9p71fvRe8x7xvvA+7o7sruq+6L7mvuTO4v7hPt+u3h7cntse2Z7YDtZ+1Q7TvtKu0e7RjtFu0W7RjtGO0V7Q/tCe0C7P/tAO0G7RLtIu027UztZe2B7Z7tvO3a7ffuEe4n7jvuTO5b7mnud+6F7pLun+6s7rruyO7a7u7vBe8f7zvvWO9275Xvte/V7/bwFvA18FTwc/CU8Ljw4fEO8T7xbvGd8cfx7vIR8jPyVfJ68qHyy/L18yHzTfN786zz4vQc9Fr0mfTV9Qv1O/Vl9Yz1svXd9gv2PPZs9pX2sfa+9rv2rfaZ9on2gvaJ9qD2xPby9yT3VPeB96n3z/f1+B34Svh9+Lf4+flD+Zb58vpX+sP7NPum/Bf8hvzx/Vz9yf43/qb/Ev93/9EAHwBjAKUA7AFBAagCHgKYAwoDZgOiA7oDtgOhA4oDfwOJA6kD2gQVBFIEiwS/BPAFIgVYBZYF2gYiBmoGrwbwBy4HZwegB9oIFQhRCIsIwgjyCRoJOglXCXUJmwnOChIKZQrCCyELeAvBC/gMHww+DF4MiAzCDQ8NbA3VDkUOtw8nD5MP+BBVEKkQ8xE2EXURtRH3EjsSfRK0EtUS2hLBEpISWBIlEgkSDBIxEm8SuhMCEzoTXRNrE2sTZhNjE2cTdBOHE5wTsRPDE9QT5hP6FBEULBRIFGMUfhSWFK4UyBTjFQIVIxVGFWoVjRWwFdQV+RYhFkwWehaqFtsXChc2F2AXhheqF80X7xgQGDIYVBh2GJcYtxjUGPAZCRkfGTMZRBlTGV4ZZxlrGWwZaxloGWMZXhlYGVIZSxlDGTkZLhkjGRkZERkKGQQY/Rj1GOkY2xjKGLgYphiVGIUYdRhlGFUYRBg0GCUYGBgMGAEX9BfmF9UXwxexF58XjxeCF3cXbxdpF2cXaBdtF3UXfxeGF4oXiReDF3sXchdrF2UXXxdXF0sXORckFxAXAhb9FwEXChcSFxMXCBbyFtIWsBaPFnUWXxZMFjUWGBXzFcgVmxVuFUUVHhT1FMcUkRRTFBIT0xOdE3UTXhNVE1gTYxN1E4kTnxOzE8MTyRPCE6MTdRM+EwQS0BKnEosSehJtEl8STBIyEhUR+BHjEdgR2hHkEfQSAhILEgoSARHyEd8RzRHCEb4RxBHREeAR7RHwEeURxxGWEVURBxCyEF4QDQ/ED4MPSQ8UDuEOrw59DksOGg3qDb0NlA1tDUcNIgz9DNgMsQyJDF8MMgwBC8kLiAtACvAKnQpJCfoJsglzCTwJDAjhCLkIkghrCEMIHAf1B9AHrAeNB3MHYQdVB1EHUwdXB1sHXAdbB1YHUQdMB0kHSQdIB0UHPwczByEHDAb2BuAGzwbCBroGtwa3BrkGvQbCBsgGzgbUBtcG1wbUBs8Gxwa+BrUGqgadBo4GfgZsBlsGTQZBBjkGMgYoBhgGAAXhBbwFlgVzBVUFPQUqBRoFCwT8BPEE6gTqBPEE/QUIBQ4FCgT7BOMExwStBJsEkwSSBJYEmgSYBI8EgQRxBGIEVwRRBE4ESwRFBDgEJQQNA/MD2wPHA7gDrQOjA5kDjAN7A2cDUwNBAzIDJQMZAwsC+QLiAsgCrQKWAoICcgJiAk0CLwIGAdQBnAFmATYBDwDxANcAvACdAHcATAAf//T/zv+t/5H/dv9d/0T/Lf8b/wz+//7x/t7+xv6r/pP+hv6K/qD+xP7q/wj/Ef7//tL+kf5F/fj9sf1x/Tf9APzK/JX8ZPw6/Bn8A/v0++j72PvD+6b7gvtY+yr6+frE+ov6T/oR+dP5mvlp+UL5JPkP+P347fjb+Mf4r/iV+Hv4YvhJ+DL4GvgA9+P3wved93T3TPcn9wj28/bm9uP24/bk9uL21/bF9qr2ifZk9j/2HfX/9ej12fXR9dD11PXY9dv11/XM9bj1n/WD9Wf1TvU69Sn1HPUR9Qj0//T49PL07fTp9Ob04vTe9Nr02fTc9OP07vT79Qn1FvUh9Sn1MPUz9TP1LvUh9Q308fTR9LH0lvSE9H/0hPSR9KH0sPS59Lr0s/Sn9Jf0iPR79HL0bfRt9G/0cvR09HP0b/Ro9GD0WfRS9E70SfRC9DX0IfQG8+PzvfOY83fzXPNJ8z3zNfMx8y/zL/Mx8zXzPPNF80/zWfNh82nzb/N2837ziPOV86bzuvPQ8+bz/fQT9Cf0N/RD9Ev0UPRU9Fj0XfRk9Gv0c/R69H70gPSB9IP0iPSR9J70rvTC9Nf07/UK9Sj1S/Vx9Zn1vvXd9fX2BfYO9hT2GPYe9ib2MPY49j/2RPZH9kv2VPZi9nf2k/a29tz3Bvcx91/3jPe49+H4AvgY+CL4HvgP9/r35/fc9+D39/gk+GT4svkK+WX5v/oS+l36nvrW+wP7KftJ+2P7fPuW+7H7z/vw/BP8N/xa/Hv8mfy0/M385Pz4/Qz9IP00/Uv9ZP2C/aT9yv3y/hv+Rf5v/pn+xf7y/yH/Uf+B/7D/3AAEACkASgBoAIUAoAC5ANAA4wDzAQABCQETAR8BMgFQAXoBsgH0Aj4CiALNAwcDNANUA2wDgAOVA6wDxwPiA/sEDwQdBCcEMAQ7BEsEYQR7BJUErQTBBNAE2wTmBPEE/QUJBRQFHAUgBSAFHwUdBR4FIgUpBTQFQgVQBV8FbAV2BXwFfgV+BX4FgAWHBZMFpAW3BcgF1QXaBdoF1gXSBc8F0AXTBdcF2wXeBd8F4AXkBewF+AYHBhQGHQYfBhgGBwXvBdIFswWSBXEFUwU2BR0FCAT4BO0E6ATpBPEE/gURBSsFSQVoBYUFmwWmBaIFjgVrBT0FCQTTBKEEeARbBEsERQRIBE8EVgRaBFkEUgRIBD4ENgQyBDUEPQRIBFMEXQRjBGUEZARgBFkEUARGBDoELwQoBCYEKgQxBDYENAQlBAMD0AOPA0cC/wK9AoICTwIeAe0BugGEAU0BGgDrAMMAnwB/AGQAUQBKAFgAfQC8AQ0BZgG7Af4CJwI0AikCDwHwAdQBvwGyAaoBpQGfAZcBjQGEAXwBdwF3AXwBhwGYAbABzAHsAgsCJwI+Ak8CWwJkAm0CdwKDApACmwKiAqQCogKeApsCnAKiAqwCuQLFAtAC1wLdAuMC6gL2AwYDGwMyA0oDYgN5A4wDngOsA7kDxQPPA9oD5wP0BAQEFAQmBDYERgRUBGEEbAR2BH8EhwSOBJMEmQSfBKcEsgS/BM4E3QTqBPQE+gT9BP8FAQUEBQcFCgULBQkFBQUABP0E/wUIBRoFMgVOBWwFhgWdBa8FvQXJBdIF1gXSBb8FmgVfBQ0EqQQ5A8oDaAMfAvoC+wMkA20DzgQ7BKsFFwV7BdgGLgaABswHDwdEB2gHdgdvB1cHNgcVBvoG7AbrBvMG/wcIBwsHBAb2BuUG1gbPBtEG3AbsBvgG+gbpBsMGhwY6BeUFkQVFBQkE3QS/BKsEmgSIBHEEVQQyBAwD4wO4A40DYQM1AwoC4QK8ApwCgAJqAlcCSAI6AisCGwIGAe0BzwGuAYoBaAFJAS0BFQD/AOgAzgCvAIwAZgBCACEACP/0/+X/1//E/6r/h/9d/y//Af7Y/rX+mP59/l3+Nf3+/bn9aP0O/LL8WfwI+8H7g/tN+x769frP+q36jPps+kj6H/nu+bb5ePk2+Pb4uviE+FT4KfgA99b3qvd790n3FPbf9qn2c/Y99gj11vWm9Xv1VfUz9RX0+PTd9MH0pfSJ9G/0VvRA9Cv0F/QD8+7z2PPB86rzk/N882bzT/M58yPzDfL48uTy0fLA8q7ynfKL8njyYfJF8iXyAPHW8afxd/FH8Rfw6vC/8JfwcvBO8C3wD+/z79rvxO+w75zviO9071/vSO8x7xju/u7j7sjuqu6N7m7uT+4x7hLt9e3Y7bztoe2H7W3tVe0+7SjtFu0I7P7s+Oz17PPs8ezt7Ofs3+zZ7Nbs2Ozh7PHtCO0j7UDtX+197Zrttu3Q7ejt/u4S7iTuM+5A7kvuVe5d7mbub+567ojume6s7sLu2e7x7wrvJe9B72Hvg++o783v8vAW8DfwWPB68KDwyfD38SfxVfGA8abxxvHh8fzyGfI68mDyifK18uPzEPM/83HzpvPh9CH0YvSi9N31EfU+9Wb1jfW29eT2FvZI9nb2mvaw9rf2sfaj9pT2ivaL9pn2s/bW9v/3KPdQ93X3mPe599z4APgp+Ff4jPjL+RT5afnM+jv6s/sx+7D8Lfyn/R79kf4D/nP+3f8//5X/4AAiAGEApgD4AVwBzwJHAroDGQNcA34DhAN6A2wDZwNzA5MDwgP6BDUEbQSiBNMFBAU4BXAFrgXxBjYGfAbCBwYHRweGB8MH/Qg3CHAIqAjdCQ4JOglgCYIJpgnQCgUKSAqWCukLOguBC7kL4wwDDCIMSAx9DMMNGQ17DeQOTQ6zDxIPaA+1D/kQOBB2ELgRAxFXEa8SAxJIEnISfRJqEkMSGRH8EfkSFxJPEpcS3xMaEz8TThNOE0cTQxNIE1YTahOBE5YTqBO4E8oT3xP5FBgUOhRbFHkUlBSrFMEU2RTyFQ8VLxVSFXgVnhXHFfEWHhZLFnoWqRbWFwIXLRdVF3wXohfHF+sYDhgwGFIYdBiVGLYY1RjyGQwZIxk2GUUZUhldGWUZahltGWwZZxlhGVkZURlJGUEZORkwGSUZGRkNGQIY+BjxGOoY4hjYGMoYuBikGI4YeRhkGFEYPxgtGBsYChf6F+8X5xfhF9wX1RfKF7oXqBeUF4IXdBdrF2UXYRdfF10XXRdeF2EXZRdpF2sXaRdkF1wXUxdLF0QXPRcyFyIXDRb1Ft8W0RbNFtQW4RbtFvIW6hbVFrYWlRZ3FmAWTxY/FioWCxXhFa8VexVJFRwU9RTOFKQUcRQ4E/wTxBOXE3oTbhNwE3wTjROfE7ATvxPME9MT0RPCE4ITVBMeEugSuRKVEn8ScRJnElkSRRIqEgsR7RHYEc8R0hHfEfESARIMEg8SCBH5EeYR0xHCEbgRthG6EcIRyBHGEbcRlhFkESQQ2hCMED8P+A+2D3gPPg8EDskOjQ5RDhgN4g2yDYYNXg05DRMM7AzEDJwMdQxPDCkMAgvXC6ULaQskCtcKhgo1CegJoglkCS0I+wjNCKEIdwhRCC0IDQfwB9UHugefB4cHcQdgB1UHUAdRB1QHWQddB2AHYQdhB2EHXgdXB0sHNwccBvoG1QawBo8GdAZgBlQGTgZOBlMGWwZlBnIGgAaOBpkGogamBqYGowadBpQGiAZ4BmUGTwY5BiUGFQYNBgsGDQYOBgkF+wXiBcAFmQVxBU0FLQUSBPoE4wTPBL4EtQS1BL8E0QTjBPIE9gTuBNsEwwSpBJUEiQSEBIMEgwSBBHsEcwRpBGAEWgRUBE4ERQQ3BCQEDAPyA9oDxgO3A60DqAOiA5sDjgN8A2UDTQM2AyIDFAMJAv4C8wLjAs8CuQKiAo4CfQJtAlsCQQIeAfIBwAGNAWABOwEfAQkA8wDaALoAkgBlADgADP/i/7v/lv9x/03/Lf8S/v3+7P7d/sv+tv6f/ov+gP6F/pr+vP7g/vz/Av7v/sH+gP41/ej9ov1i/Sj88vy7/If8V/wv/BL7/vvv++D7y/us+4P7Uvse+un6tvqE+lL6H/nr+bX5gvlT+Sr5Cfjv+Nj4xPiv+Jr4gvhq+FL4Ovgk+A339vfc97/3nfd491D3KfcG9uv22PbN9sr2y/bK9sX2ufaj9oT2XvY09gr14fW/9aX1lvWR9ZT1nfWl9an1pfWW9X/1YvVC9ST1CvT19OT01/TN9Mb0wPS+9L30vfS99Lv0tvSw9Kr0p/Sp9LD0u/TJ9NX03/Tm9Or07vTx9PL08PTo9Nj0vvSd9Hn0V/Q99C/0LfQ29Eb0WfRq9Hf0f/SA9Hz0dvRu9Gb0YPRc9Fv0WvRX9FL0SfQ89C30H/QT9Ar0AvP58+vz1fO285DzZfM78xby+vLo8t/y3fLf8uTy6/Lz8v7zC/Mb8yvzOfNG807zU/NW81rzX/Np83nzjfOl88Dz3PP19Az0H/Qu9Dn0QvRJ9E/0VfRZ9F30YPRi9GX0avRx9Hz0ivSa9Kr0uPTG9NP04/T49RT1N/Ve9Yb1qvXG9dn14/Xo9ez18fX59gP2DPYS9hP2EfYN9gz2EPYd9jL2TvZv9pP2u/bl9xT3R/d997P35vgR+DD4QfhH+Ef4RvhL+Fv4e/ip+OX5LPl3+cT6D/pU+pL6yfr4+yH7RPtj+4D7nPu5+9j7+vwf/Ef8b/yY/L784v0C/R39Nf1J/Vv9bP1+/ZL9qf3G/ej+D/46/mj+l/7H/vb/I/9Q/3v/pf/N//UAGwBAAGQAhwCoAMcA5AD+ARUBJwE1AT4BRQFLAVMBYwF+AacB3wIkAm8CuwMAAzgDYQN+A5MDpgO7A9UD8wQRBCoEPARHBE0EUwRdBG8EhgSgBLgEywTYBN8E5ATrBPcFBwUaBSwFOgVBBUMFQAU9BTsFPQVDBU0FWgVpBXkFiAWUBZ0FogWkBaQFpgWrBbUFxAXVBeUF8QX3BfgF9gX0BfQF+AX+BgcGDwYXBh0GJAYtBjgGRAZPBlQGUgZGBjEGFQX1BdMFswWUBXYFWQU9BSQFDwT/BPYE9QT6BQYFFwUrBUIFWQVxBYUFlAWbBZgFiQVuBUkFHQTtBL8ElQR0BF8EVgRXBF8EagRzBHgEdgRwBGgEYgRgBGMEbAR1BH0EfwR6BG4EXQRIBDQEIAQPBAID+AP1A/gEAQQNBBcEGAQIA+UDrQNmAxYCxwKAAkQCEgHlAbgBhgFQARYA3gCpAHsAUwAuAAv/6//T/8r/2AADAEkApAEIAWgBtwHsAgcCCgH8AecB0AG8AasBngGSAYcBfAFyAWsBaAFpAXEBgAGWAbMB1QH5AhsCOAJOAlwCZQJsAnQCfwKOAp4CrAK3ArwCvAK5ArYCtwK+AskC2ALoAvUDAAMIAxADGAMjAzIDRANZA28DhQOZA6wDvQPMA9oD5wPzA/4ECgQWBCMEMQQ/BE0EWgRnBHQEgASLBJUEngSmBKwEsgS6BMME0AThBPQFBwUYBSQFKgUsBSsFKgUsBTEFNwU+BUEFQQU8BTcFNQU5BUUFWQVwBYcFmQWkBaoFrQWyBboFwwXIBb4FnQVcBPoEfAPwA2YC8QKfAnwCiAK+AxQDfAPpBFIEsgUIBVYFoQXpBjAGdAayBuQHBwccByQHIwcdBxcHFAcUBxYHFgcRBwUG8AbTBrIGkgZ5BmwGbgZ+BpgGtAbHBsoGtQaIBkgF+gWrBWEFJAT0BNEEtQSbBH8EXwQ5BBAD5gO7A5ADZwM/AxgC8gLOAq0CjwJ1Al4CSgI3AiQCEAH5AeABxAGmAYkBbgFVAT8BKgESAPcA1QCsAH4ATgAi//z/4P/O/8P/uv+u/5r/ff9W/yn+/P7S/q/+kP5z/lH+Iv3l/Zb9PPzb/H38KPvg+6X7ePtS+zD7D/rt+sr6pvp/+lX6Jvny+bj5e/k8+P74w/iN+Fz4Lff/99D3n/ds9zj3BPbP9pz2aPY19gP10/Wl9Xz1VvU09RP09PTV9Lb0mfR99GT0TvQ59Cb0EvP98+fz0fO786fzlPOC83DzXvNM8znzJfMS8v7y6vLW8sLyrfKX8n/yZfJG8iPx+fHL8ZnxaPE58Q7w6fDI8KvwjfBv8E/wL/AQ7/Tv2+/E76/vmu+E72zvUu847x3vA+7o7s/utO6Y7nvuW+457hft8+3R7bDtku137WDtTO057SjtGO0K7P3s9Ozs7Ofs4+ze7Njs0uzN7Mvsz+za7O3tBu0k7UTtY+2B7Zvts+3I7dzt7u3/7g/uHe4o7jHuN+497kPuSe5T7mDuce6G7pzutO7L7uTu/e8a7zrvXu+F763v1O/68B7wQfBl8Izwt/Dl8RTxQPFm8YXxm/Gt8b3x0PHq8gzyN/Jo8p3y0vMG8zrzbvOl8930GPRT9Iz0wPTw9R31R/Vy9aD10fYD9jP2XfZ99pL2nPaf9p72oPan9rb2zfbr9wz3LvdP9233ifej97332ff4+Bz4Rvh5+Lb5AflZ+cD6M/qw+zP7ufw//MP9Q/3A/jf+pf8H/13/p//nACQAZgCyAQ0BdQHiAkwCpwLsAxkDMQM7A0IDTQNjA4QDrwPfBBIERQR3BKsE4AUYBVIFjwXNBg4GUgaXBt4HJQdoB6YH4AgUCEgIfAizCOwJIwlYCYcJsgncCggKPAp3CrkK/As7C3ELngvDC+YMDgw+DHwMxQ0WDWwNwg4TDl4Onw7ZDw8PRg+FD9MQNBCkERsRjRHoEiISNRInEgYR5hHaEewSHxJoErgS/BMqEz0TOhMsEx4TGRMiEzYTTxNpE38TkhOlE7oT1RP2FBsUQBRjFIIUnhS3FNAU6hUHFScVSBVrFZAVuBXjFhEWQhZ0FqUW0xb+FyUXSxdxF5cXvhfmGA0YMRhUGHQYkhiwGM0Y6RkDGRoZLhk9GUkZUhlaGWAZYxlkGWAZWRlQGUUZOhkxGSkZIRkZGQ8ZAxj2GOgY2hjPGMQYuRisGJ0Yixh2GGEYTRg6GCgYFxgGF/QX4hfSF8YXvhe5F7UXsBenF5oXihd5F2wXYxdfF10XXRdaF1UXTxdKF0cXRxdKF0wXTRdJF0MXOhcyFyoXIhcYFwoW9xbhFswWvha5Fr4WyBbRFtIWxxauFo4WbRZTFkIWORYwFiEWBRXaFaQVahUyFQIU2RSzFIwUXhQrE/cTyBOlE5MTkROaE6kTuBPDE8kTzBPLE8cTuxOlE1ETJRL1EscSoRKFEnQSahJgElISPBIeEfwR3BHFEbkRuRHDEdMR5RHzEfwR/xH8EfQR6RHfEdYRzxHLEcYRvBGpEYkRWhEeENgQjxBHEAQPyA+QD1oPIw7oDqkOZw4lDeUNqw12DUgNHgz2DNAMqgyFDGAMPQwbC/oL1wuvC4ALRgsDCrcKZwoWCcoJhQlICRII4gi1CIsIYwhACCEICAfyB94HyQezB5wHhAduB10HUgdOB1AHVgdfB2cHbgdyB3AHaQdaB0MHIwb7Bs8GoQZ1Bk8GMAYaBgwGBAYDBgUGCwYTBh8GLAY7BkoGWAZkBm0GcwZ2BnQGbgZiBlAGOQYfBgYF8gXmBeMF5wXtBfAF6wXcBcIFoQV8BVYFMgUQBPAE0AS0BJwEjgSLBJUEqAS+BNEE2wTZBMsEtQSeBIoEfAR1BHMEcwRyBG4EaQRiBFsEUgRJBDwELAQXBAAD6QPTA8EDtAOsA6kDpwOlA58DkgN/A2UDSAMrAxIC/wLyAuoC4gLYAsoCuAKiAo0CewJqAlkCRAIoAgMB2AGqAX8BWwE/ASoBGAEEAOoAyQCjAHoAUAAm//3/0v+m/3n/T/8p/wr+8v7e/sv+tv6h/o/+hP6I/pv+uf7a/vL+9v7g/rH+bf4f/c79gv0+/QD8x/yT/GP8Ovwa/AT79Pvl+9H7svuI+1P7GPrc+qT6dPpI+iH5+PnO+aH5c/lF+Rv49vjV+Ln4n/iI+HD4WfhC+Cv4FPf99+X3zPew95H3b/dL9yj3B/br9tb2yfbB9r72u/a29qz2m/aB9l/2N/YK9dz1r/WI9Wr1WPVS9Vb1X/Vo9Wz1Z/VY9T/1IvUD9Ob0zvS69Kn0nPSQ9Ij0g/SB9IP0hvSI9If0g/R99Hf0dPR39H70iPSS9Jj0mPSU9I30iPSH9Ir0kPSU9JP0iPR09Ff0N/QZ9AHz8/Pw8/f0BvQZ9C/0RPRU9F/0Y/Ri9Fv0U/RJ9ED0NvQs9B70DvP68+Tzz/O987DzpfOc84/zevNe8zrzEfLp8sbyrfKd8pjym/Kk8rDyvvLN8t7y8PMC8xTzI/Mw8zjzPPM+8z/zRPNN81vzcPOI86PzvvPX8+70AvQU9CT0M/RB9Ez0U/RW9Fb0UvRP9E70UvRd9G30gfSV9Kj0t/TE9ND03vTz9RD1M/Va9X/1nvW09cH1x/XK9c/11vXg9en17vXs9eP11fXH9b71vfXI9dz1+fYa9kD2avaa9tL3E/da96P36Pgk+FH4b/iA+In4kPid+LX42PkI+UH5gvnF+gf6RvqA+rT64vsK+y77T/tu+4z7rPvN+/H8F/xB/G38mvzI/PT9Hv1D/WP9fv2V/ar9vf3S/en+A/4h/kP+Z/6P/rr+5v8T/0D/a/+V/73/4gAGACoATgB0AJoAvwDjAQIBHQEzAUMBUAFaAWIBaQFwAXkBhwGeAcEB8QIuAnQCvAMBAzwDbAOQA60DxwPiA/8EHAQ3BEsEWQRgBGYEbgR9BJIErATFBNoE5gTqBOsE6wTyBP8FEwUqBT4FTQVTBVIFTgVKBUgFSgVQBVkFZAVvBXoFhwWUBaEFrQW4BcEFygXUBd8F7AX5BgUGDgYUBhgGHAYhBioGNQZBBk0GVgZcBmAGZAZpBnAGdwZ7BncGagZTBjQGEAXsBcoFrQWSBXoFYQVJBTMFIAUTBQ4FEQUaBScFNgVCBU0FVQVcBWIFaAVtBXAFbwVmBVQFOQUVBOsEwQSbBH4EbwRtBHcEhwSYBKUEqQSkBJkEjASBBH0EfgSDBIcEhQR7BGgETgQxBBcEAgPzA+sD6APpA+oD6gPoA94DywOpA3gDNwLsApwCTwIMAdUBpwF/AVQBJADrAK4AcAA4AAr/5f/H/6v/kP94/2j/Z/98/63/9wBSALUBEwFiAZsBvwHPAdAByQG9Aa8BoQGSAYUBeQFwAWsBbAFyAX4BkQGqAcgB6wIOAjACTQJiAnECegJ/AoQCjAKXAqQCswK/AsgCzQLPAtAC0wLZAuMC8AL+Aw0DGgMmAzIDPgNNA14DcgOGA5oDrgO/A9AD3wPuA/4EDQQcBCoENgRCBEsEVARcBGQEbQR2BIEEjQSaBKcEtAS/BMoE1ATgBO4FAAUVBS0FRAVYBWUFaQVmBV8FVwVRBVEFVgVdBWUFaQVqBWkFaQVsBXYFhQWXBacFsQW1BbUFtQW6BcUF0QXXBcgFmQVDBMUELAOKAvcCiAJLAkYCdALHAzADnQQBBFUEmATNBPkFIgVMBXkFqgXdBg8GPgZoBo0GrAbEBtgG5wbxBvgG+Qb0BuYGzQapBnoGRgYSBegF0AXQBegGFAZKBnsGnAaiBosGWQYVBckFfwU8BQME1ASrBIUEXwQ2BAwD4gO3A44DZwNCAx8C/wLhAsUCqQKOAnICVwI6Ah4CAQHkAccBrAGRAXgBYAFJATIBGQD9ANwAtgCKAFwALQAC/97/w/+z/6n/ov+Y/4f/bP9H/xz+7/7G/qT+iP5t/kz+HP3b/Yb9I/y8/Fr8BvvF+5f7d/tg+0v7MvsU+vH6yfqe+nD6P/oK+dH5lflY+Rv44fiq+HX4QfgO99r3pfdw9zz3CvbZ9qr2e/ZM9h317vXB9Zb1bfVF9R70+PTU9LL0lPR69GT0UfQ+9Cv0FvP/8+jz0/O/86/zofOU84bzdvNk81HzPfMq8xfzA/Lt8tTyuvKd8n/yX/I88hfx7fHB8ZLxZvE98Rvw/vDn8NDwt/Ca8HjwVPAx8BDv9O/d78jvs++c74PvZu9I7yrvDO7x7tbuvO6h7oTuZu5E7iHt/O3Y7bXtlu177WXtU+1D7TTtJe0V7Qbs+ezt7OXs3+zb7Nfs1OzS7NTs2ezm7PntEe0u7Uztae2F7Z7tte3J7dvt6+357gbuEO4Y7h7uIu4m7inuLu427kLuUu5m7n7ul+6y7s3u6u8H7yfvSe9s75Lvt+/b7//wI/BJ8HLwnvDL8PfxHvE98VLxXvFl8WrxdPGH8abx0fIH8kLyf/K78vTzKfNd85DzxfP89DX0bvSm9Nz1EPVC9XP1pPXU9gP2LfZT9nL2ivad9q72vvbR9uf3Avcg9z/3Xfd494/3ovex9773zffg9/j4GPhC+Hf4ufkH+WP5zPpB+sL7SvvY/Gj89v2A/gD+dP7a/zD/ef+4//QAMwB5AMkBIgF/AdkCKAJqAp0CxALkAwMDJANKA3IDmwPFA+4EGARHBHsEtgT0BTQFdAWyBfAGLgZxBrYG/AdBB4AHuAfqCBoITAiECMEJAwlECYEJtgnkCg4KOQpoCp0K1QsOC0ILcQubC8IL6gwXDEsMhwzJDQ4NVA2XDdQOCA42DmEOjw7KDxwPhxAKEJkRIxGVEeASABH7EeIRyxHKEeoSKRJ6EssTChMsEzETIhMLEvkS9hMCExoTNhNSE2sTgROYE7MT1BP5FB8UQxRjFIAUmhS2FNUU+BUdFUMVaBWLFa8V1hYAFi8WYhaVFscW9BcdF0MXZxeNF7QX3RgHGDAYVRh2GJQYrxjJGOMY/BkTGScZNxlDGUsZTxlSGVQZVBlRGUsZQRk0GScZGxkRGQoZBBj+GPYY6hjbGMoYuRipGJsYjRh/GHAYXhhLGDgYJhgWGAgX+xftF94XzxfAF7QXrBelF6EXmxeSF4YXdxdqF14XWBdUF1QXUhdOF0cXPxc5FzcXOhdAF0YXSBdGFz4XMhcmFxwXExcLFwEW9BbjFtIWxBa8FrsWvha+FrYWoxaEFmEWPxYoFhwWGhYaFhMV/RXVFZ8VYhUnFPQUyhSlFIIUXBQ0FAsT6BPSE8oTzxPbE+cT7hPsE+IT0hPAE6sTkxN2Ex4S9xLPEqsSjRJ4EmsSYRJWEkQSKRIHEeMRwRGpEZwRmhGiEbARwBHPEd0R5xHuEfMR9RH2EfUR8hHqEdoRwBGZEWMRIRDXEIoQQRAAD8gPmQ9uD0MPFA7dDp8OXA4WDdANjQ1PDRYM5Ay3DI8MbAxNDC8MEwv2C9YLswuJC1gLHgrbCpIKRgn6CbIJcAk2CQEI0QijCHYITAgmCAUH6gfWB8YHuQesB50HjQd8B20HYwddB14HZAdtB3cHfweCB30HcAdZBzgHDwbhBrAGgAZUBi8GEgX9Be8F5wXiBd8F3wXgBeQF6wX2BgQGFAYmBjgGSAZVBl0GXwZaBk4GOgYhBggF8QXhBdoF3AXkBewF7wXpBdkFvgWcBXUFSwUgBPUEywSkBIQEcARqBHIEhASbBK8EugS5BK0EmgSGBHYEbQRqBGsEbQRtBGoEZARaBE4EQAQvBB0ECQP2A+MD1APJA8IDvwO/A74DvAO3A6wDmgOBA2IDQAMdAv8C6ALaAtICzQLIAr4CrwKbAoYCcgJgAk8CPQInAgkB5AG7AZMBbwFSATwBKQEVAP0A4QDAAJ4AfABZADUADv/i/7P/gv9T/yv/C/7w/tn+xP6u/pz+kf6R/p/+uP7U/uj+6v7S/qH+Wv4G/a/9W/0P/M38lfxl/D78H/wJ+/f75/vT+7X7ivtV+xf61/qb+mf6PPoY+fj51/m0+Y35ZPk6+RH46vjH+Kj4jPhy+Fn4Qvgq+BL3+ffd98D3ofeB92D3P/cg9wT26/bX9sf2vPay9qr2oPaU9oT2bvZU9jT2DvXj9bb1ifVh9UL1LvUn9Sr1MvU59Tr1MvUg9Qf06vTO9LX0ofSQ9IH0c/Rl9Fj0T/RL9Ev0TvRS9FT0U/RQ9E70TvRR9Fn0YfRm9GT0W/RL9Dn0KfQh9CL0LPQ59ET0SPRB9C/0FfP289jzwPOw86vzsvPE89zz+fQU9Cr0OfQ/9D30NfQr9CH0FvQJ8/nz5fPM87Dzk/N482PzUfNC8zLzH/MH8uryyvKr8pHyfvJ08nTye/KI8pjyqvK78s3y3fLs8vrzBvMQ8xfzHPMg8yXzLfM580nzXvN1847zpfO789Dz5PP49A30IvQ09EP0TPRO9En0QvQ79Dj0PPRI9Fv0cvSK9KH0s/TE9NT05vT+9Rv1PPVd9Xv1kfWe9aX1qPWr9bH1ufXC9cn1yPW99av1lPV/9XL1cPV79ZH1sPXV9gD2MvZs9rL3AvdY96/3/vhA+HD4j/ih+K34uPjK+OX5C/k7+XH5rPno+iT6XfqS+sP67/sX+zr7W/t8+537v/vl/A38Ofxo/Jj8y/z9/S79W/2E/af9xf3f/fb+Dv4n/kP+Yf6B/qH+wv7i/wP/Jf9I/23/k/+5/98ABAAqAFAAeQCjAM0A9gEbATkBTwFdAWYBbAFyAXgBgAGJAZQBogG2AdMB+gItAmsCrgLyAzIDagOaA8MD5wQHBCUEPwRUBGMEbQRzBHsEhwSZBK8ExwTbBOgE7ATqBOgE6gT0BQcFIAU4BUoFUwVTBUwFRQVABUIFSQVUBV4FZwVuBXQFfQWIBZkFrAXBBdcF6gX8BgsGGAYiBikGLgYxBjUGOwZGBlUGZgZ2BoMGigaMBooGhwaFBoUGhQaBBnYGYwZGBiMF/gXbBb0FpQWQBX8FbQVbBUkFOwUxBS8FNAU9BUcFUAVUBVQFUQVNBUsFTQVTBVwFZAVnBWIFUQU1BRAE6ATCBKYElwSXBKMEtwTLBNgE2gTPBLoEoQSLBHwEeAR8BIMEhQR/BG4EVQQ6BCMEFAQPBBAEEwQQBAED4wO2A3wDOQLwAqUCWgIRAc0BjwFbAS8BCADjALoAiQBSABb/3P+q/4T/bP9f/1n/VP9O/0n/Sv9W/3T/pP/kAC4AewDDAQEBMwFXAXEBgwGNAZIBkQGMAYUBfgF3AXUBeAGAAY4BoQG5AdUB9AIVAjUCUwJtAoACjQKTApYCmAKcAqMCrgK7AsoC1wLiAuoC8AL2AvwDBQMPAxwDKgM6A0sDXgNyA4gDnwO2A8sD3gPuA/0ECwQaBCkEOQRKBFkEZgRwBHYEeQR7BHwEfwSGBJAEnQStBL0EzQTcBOkE+AUIBRsFMwVOBWoFhQWbBacFqQWhBZEFfwVvBWYFZAVqBXQFfwWJBZAFlgWcBaQFrQW2Bb0FvgW9BboFvAXFBdMF4AXfBcIFfQUNBHgD0gMzArQCaQJcAokC4gNSA8YELAR7BLIE0gTkBO4E9wUBBQ8FIwU9BVwFgAWoBdAF9wYaBjYGTAZbBmYGbAZtBmcGVwY7BhAF2gWeBWkFRQU8BVQFiQXSBiIGaAaVBqIGjAZZBhIFwgVyBSkE6gS0BIUEWwQyBAoD4QO2A4sDYQM5AxQC9QLaAsICrAKVAnsCXgI+AhsB9wHVAbUBlwF8AWIBSAEsAQ4A7ADIAKIAegBSACoABP/i/8X/rv+d/5H/h/96/2f/Sv8l/vn+zf6m/ob+bf5X/jn+Df3M/Xb9EPym/EL77/uz+477eftt+2D7T/s1+xL66fq7+or6Vvog+eb5q/lw+Tf5AfjN+Jz4a/g5+Ab30ved92j3NvcE9tT2pfZ29kj2GvXs9b71kfVk9Tb1CvTg9Lr0mvSA9Gv0WfRH9DL0HPQE8+3z2fPJ87zzsvOm85jzhvNx81zzSPM18yPzEPL68t7yvvKb8nbyUfIt8grx5/HC8Z3xefFZ8T3xJfEP8Pjw3PC68JTwbPBF8CPwCO/y79/vy++175rve+9Z7zfvF+747tvuv+6k7onubu5R7jLuEu3x7dDtse2V7XztZ+1T7UHtLe0a7Qfs9ezn7Nzs1ezR7NDsz+zS7Nbs4Ozu7QHtGe007VDtbO2I7aLtu+3S7eXt9e4A7gfuC+4N7g7uD+4Q7hPuF+4d7ifuNe5J7mLuf+6f7sDu4O8A7x/vPe9a73jvl++379nv/vAl8E3wdvCc8L7w2fDr8PTw9vD18Pbw/fEQ8TDxXfGW8dfyG/Je8p3y2PMP80XzfPO38/X0NvR39Lf09fUu9WL1k/XB9ez2FfY79l72fvaa9rX2zvbp9wX3I/dD92T3g/ee97T3wvfL98/31Pfc9+v4BPgp+Fr4l/jh+Tb5mfoI+oT7C/uc/DD8xf1U/dj+Tv60/wr/U/+U/9EAEABSAJsA5wEyAXkBuQHvAh4CSwJ4AqkC3wMWA0wDfAOmA8sD8AQZBEoEhATGBQkFTAWLBcgGAwZBBoMGxwcLB0sHhQe5B+sIHwhYCJoI4AkoCWwJqAncCgkKNQpiCpQKyQr/CzMLYguNC7YL3gwIDDgMbwysDO4NNA14DbcN7Q4YDjwOXw6MDs4PLQ+nEDQQwhE+EZYRxBHNEcMRuhHFEe4SMBKBEswTAxMeEx0TDBL2EuoS7BL8ExYTMhNNE2UTfBOWE7UT2hQAFCUURhRiFHsUlhS1FNoVBBUwFVsVhBWpFc4V9BYfFk4WgRa1FucXFBc8F2EXhhesF9QX/hgoGFAYdBiUGLEYyxjkGP0ZFRkqGTsZRxlNGVAZTxlNGUkZRBk9GTQZKBkaGQ0ZARj3GPAY6hjjGNoYzhi+GKsYmRiHGHYYZxhXGEcYNRgiGA8X/hfwF+UX3BfUF8wXwxe6F7IXqxekF54XlheMF4AXcRdjF1cXThdJF0YXQxdBFz0XOxc7Fz8XRxdQF1cXWBdRF0MXMRcfFw8XBBb8FvQW6RbbFssWuxavFqgWpBafFpMWfhZfFjwWHBYFFfwV/BYAFfwV6hXGFZEVVRUZFOUUvRSeFIUUbRRUFD0UKhQfFB4UJBQrFC0UJBQQE/ITzxOqE4cTZRNDEvUS1RK2EpoShBJ0EmkSXxJQEjkSGhH0Ec0RrBGUEYgRiBGQEZsRpxGwEbgRvhHEEcwR1RHgEeoR8BHuEd4RvxGOEUwQ/xCtEF8QGg/hD7QPkQ9wD0wPIg7vDrIObw4mDdsNjw1FDQAMwgyNDGMMQgwoDBEL+QvdC7sLkgtiCywK8QqyCnAKLQnqCaoJbQkzCPwIxwiRCFsIJwf2B8wHrAeXB4sHiAeIB4oHigeIB4UHgAd9B34HgQeHB40HkgeQB4cHdAdWBzAHAwbTBqMGdQZMBioGEAX8Be8F5gXfBdkF0wXOBcwFzQXTBeAF8QYGBhwGMQZBBk0GUwZSBksGPgYsBhgGBQX3BfEF8wX8BgcGEAYQBgYF8AXOBaQFcwU+BQgE0wSjBHwEYgRXBFoEaQR8BI0ElgSUBIoEegRrBGAEXAReBGMEZwRoBGQEXARQBEEEMAQfBA8D/wPzA+wD6APpA+sD7QPtA+cD3QPMA7UDmQN4A1MDLQMIAukC0QLDArwCugK5ArMCpwKWAoECbAJYAkYCMwIdAgIB4gG/AZsBewFgAUkBNAEeAQMA5ADDAKMAhABoAEwALQAH/9v/q/96/07/KP8J/vD+2f7E/rH+pf6j/qz+v/7V/uT+4v7H/pH+Rf3q/Yr9Lvze/Jz8aPxB/CX8Efv/++371vu2+4v7VvsZ+tv6n/pq+j76Gfn5+dv5vPmb+Xj5Vfkx+Q747fjM+Kz4jfhw+FT4Ofge+AD34fe/95v3ePdV9zX3GPb/9un21/bG9rb2pvaV9oT2cfZe9kr2NvYg9gb16PXE9Zz1cvVM9S31GvUT9RX1G/Ue9Rn1CvTy9NT0tfSa9IT0dPRo9Fv0TvQ/9C/0IfQY9BX0F/Qc9CH0JfQn9Cf0KPQs9DD0NfQ39DL0JvQT8/7z6vPd89rz3/Pp8/Xz+/P58+zz1fO485jze/Nl81rzW/Np84Hzn/O+89nz7fP58/70APQA9AD0AfP/8/jz6vPT87TzkPNr80jzKfMN8vTy3fLF8q/ymfKH8nnycPJu8nLye/KI8pjyqPK28sPyzfLV8tvy4fLn8u3y9fL98wjzFfMk8zbzSfNe83Pzh/Oa863zwvPY8+/0BvQb9Cr0MvQy9C30JfQf9B/0J/Q39E70afSE9J70tfTL9N/09vUO9Sf1QfVY9Wr1dvV89X71f/WC9Yf1jfWT9ZX1jvWA9Wz1VvVE9Tz1QfVS9W71k/W/9fH2LPZy9sL3Gvd29874G/hX+IH4nPir+Lf4xvjc+Pr5IflN+X75sfnn+h76V/qQ+sn6/vsv+1v7gvun+8v78PwZ/EX8dPym/Nn9Df1B/XL9oP3K/e7+DP4m/j7+Vv5v/ov+qf7J/uj/Bf8h/zv/V/90/5T/uP/eAAYALwBZAIQAsADdAQkBMQFUAW4BfwGJAY0BjgGQAZQBmgGiAa0BugHNAeYCCgI5AnECsQLzAzQDbwOkA9ED+AQbBDkEUgRmBHQEgASJBJQEowS0BMcE1wThBOME3wTZBNgE3wTxBQwFKgVEBVMFVgVPBUMFOQU1BTsFRwVXBWUFbwV0BXYFewWDBZMFqQXDBd8F+gYSBiYGNgZBBkcGSgZLBk0GUgZcBmoGegaJBpQGmQaZBpQGjgaJBoQGgAZ4BmkGUwY2BhMF8AXRBbYFogWTBYcFewVvBWMFWAVRBU4FTwVTBVgFXAVeBV8FXwVgBWQFawV0BX0FggWABXUFYAVEBSQFBATpBNcE0QTVBOAE7gT4BPkE7gTXBLgEmAR8BGsEZgRrBHQEeQR1BGUETAQzBCEEHAQkBDMEPQQ0BA4DxgNhAukCagHyAYwBOgD9ANAArgCSAHcAWwA8ABb/7P+8/4z/X/88/yX/Hf8i/y//QP9P/13/af94/4z/p//K//MAHgBJAHEAmAC+AOMBBwEqAUoBZAF2AYEBhgGIAYkBjAGTAZ8BrwHCAdkB8wIPAi4CTgJsAoYCmQKkAqgCpwKkAqUCrAK6As0C4wL3AwcDEgMYAxwDIAMmAzEDPwNQA2QDegORA6oDxAPdA/UECwQeBC4EOwRIBFYEZARyBIAEigSRBJMEkQSPBI4EkASZBKYEtwTJBNsE6wT5BQcFFgUpBUAFXQV8BZsFtwXMBdYF1QXJBbYFoAWLBX0FdwV7BYYFlQWkBbIFvAXCBcYFxwXGBcIFvAW2BbMFtwXBBc0F0gXCBZIFOQS6BCIDiQMJArkCpgLQAysDogQcBIcE2AUKBSQFLQUsBSYFHwUXBQ8FBwUCBQMFCwUaBS4FRAVaBW0FegWFBYwFkQWVBZYFkAWABWYFQwUbBPcE4QThBPsFLwV1BcEGCAY7BlMGTgYuBfgFtgVuBSgE6ASvBH4EVAQuBAoD5QO8A5EDYgM0AwgC4gLDAqkClAKAAmsCUgI0AhMB7wHLAagBhwFpAUwBLgENAOoAwwCaAHEASQAkAAL/5P/J/7D/mf+E/3H/X/9M/zT/F/7z/sv+o/5//mH+SP4w/hH94/2f/Uj84/x6/Br7zfuY+3r7bfto+2L7Vfs++x769frG+pP6Xfok+er5sfl8+Ur5Hvj1+M74p/h8+E34Gvfl9673d/dB9wz22Pal9nT2RfYX9en1u/WM9Vv1K/T99NT0sPST9Hv0ZvRR9Dz0JPQN8/fz5fPX88zzwvO186Pzj/N382HzTfM78yvzGfMB8uPyvvKV8mzyRvIl8gfx7PHS8bfxm/GA8WXxS/Ew8RLw7/DH8JvwcPBJ8CnwEe/+7+3v2u/E76jvie9o70fvJ+8J7uzuz+607pjufe5j7kjuK+4O7e/t0O2y7ZXte+1i7UrtMe0Z7QLs7ezc7M/sxuzB7MDswezF7M3s2uzr7QHtGu007VDtbO2J7aXtwe3b7fDt/u4F7gfuA+3+7fnt9e3z7fPt9u377gPuEe4l7kDuYe6F7qzu0e7z7xHvLO9F713vdu+S77Dv0u/18BfwNfBO8F/waPBr8GnwZvBm8G3wffCZ8MLw9vE18XvxxfIO8lbymfLa8xjzVvOW89j0HfRh9KP04vUa9U71fPWn9c/19vYb9j/2YfaB9p72ufbU9u/3Dfcs9073cPeR9633wvfR99n34Pfp9/n4E/g4+Gr4qPjy+Ub5pvoS+ov7D/ub/Cv8uv1C/b/+Lv6O/uL/Lf9x/7P/9gA6AH8AwwECATsBawGVAbsB4wIQAkcChQLIAwoDRwN5A6QDyQPvBBsETwSLBM0FEAVRBY8FzAYKBksGjQbRBxIHTweIB78H+Ag1CHgIvwkHCU0JjAnFCfkKKwpeCpIKyAr8Cy0LWguCC6oL0gv/DDEMawysDPQNQQ2QDdsOHg5UDnwOnA68DugPLA+JD/wQdxDoEUEReRGUEZ4RqBHBEfASMhJ7Er0S6xMBEwES9xLsEusS9hMLEyQTPRNSE2UTeROTE7MT2BP/FCUURhRiFH4UnBTAFOkVFxVFFXIVnBXDFesWFRZDFnUWqBbbFwsXNhddF4MXqBfPF/cYIBhIGG0YjxitGMkY4xj8GRMZKBk5GUUZTBlOGUsZRhlAGTkZMRkoGR4ZEhkGGPoY7xjlGNwY1BjKGL8YsRigGI0YehhmGFMYQBguGBsYCBf2F+UX1hfLF8MXvxe8F7sXuBe0F68XqBegF5cXjBeBF3QXZxdaF04XRRdAFz4XPhdAF0QXSRdPF1YXXhdjF2MXXBdOFzkXIhcKFvYW5hbZFssWuxanFpAWehZpFmAWXBZbFlcWTBY4Fh4WBBXwFeUV4xXjFd8VzhWtFX0VRBUMFN0UuhSjFJcUjhSHFIAUehR1FHIUbxRnFFYUOxQUE+YTtBOGE1wTNxMWEuASxhKtEpYShBJ2EmwSYRJQEjYSFBHrEcMRoRGKEYERgxGMEZYRnBGcEZcRkRGMEY0RlhGnEbwRzhHWEc8RsxGDEUEQ9BClEFwQIA/wD8wPrQ+PD2sPPw8JDswOhw49DfANnw1ODQAMuQx9DE4MLAwTC/0L5QvGC54Lbgs4Cv4KxAqLClIKGgniCakJbwk0CPgIugh7CDsH/QfEB5QHcAdaB1IHVgdhB3EHgAeMB5MHlweZB5kHmgebB5sHmAeQB4EHaQdJByIG9wbLBqAGeAZUBjYGHQYKBfwF8gXrBeQF3gXZBdYF1gXdBekF+wYPBiMGMwY/BkUGRgZEBkAGOQYxBicGHgYXBhUGGQYjBi4GOAY6BjIGHQX8BdEFngVnBS0E8wS9BI8EbgRaBFYEXQRrBHkEggSDBH0EcgRnBF8EXARdBGAEYgRiBF4EVwROBEMEOQQwBCgEIgQfBB8EIAQjBCMEHgQTBAAD5wPIA6YDgQNbAzUDEQLwAtUCwQK2ArMCswK0ArECqAKZAoUCbwJYAkECKQIQAfQB1gG3AZoBgQFsAVkBRQEtAQ4A6gDDAJ0AfABfAEYALAAO/+j/vf+P/2P/PP8d/wP+7f7a/sr+v/69/sT+1P7l/u7+5f7D/ob+MP3L/WL9APyt/G38QPwi/BD8Avvy+9v7u/uP+1r7IPrl+q76fvpV+jH6Efnw+c35qfmG+Wb5SPku+RT4+Pja+Lr4l/h0+FL4MPgO9+v3xfee93f3Uvcw9xP2+/bn9tX2w/aw9pv2gvZp9k72NfYg9g31/vXv9d71yPWq9Yb1X/U69R31CvUC9QL1BPUB9PX03/S/9Jz0evRe9Ev0PvQ29C70JPQW9Abz9vPp8+Lz4PPk8+nz7vPy8/Pz8/Py8/Lz8/Py8+7z5fPY88jzuPOr86TzovOk86fzpvOf85DzefNc8z7zIvMM8wHzAfMO8yTzQPNe83nzjvOe86rztfPC89Hz4vPy8/vz+vPt89TzsfOI81zzMPMG8uDywPKl8pDygvJ58nbydvJ58n/yh/KR8pzyp/Kx8rnyvfK+8r3yvvLA8sXyzvLZ8ufy9vMG8xbzJ/M480jzWfNq833zk/Or88Xz3vPz9AL0CPQH9ALz/fP89AL0EPQm9EH0X/R89Jn0s/TN9OX0/PUT9Sf1OPVG9U/1VfVX9Vf1V/VY9Vn1WvVa9Vf1T/VE9Tf1LPUn9Sz1PPVY9X71rPXh9hz2X/ap9vv3UPel9/L4M/hj+IP4l/il+LL4xfjg+QH5KPlS+Xz5qfnY+g76SfqL+s/7E/tT+4z7vfvo/A/8N/xh/I78vvzw/SP9Vv2H/bf94/4M/jD+T/5o/n3+kf6k/rr+0v7u/wz/K/9J/2f/hv+n/8v/8wAeAEoAeAClANEA+wEjAUcBaAGDAZgBqAGyAbkBvgHBAcQByAHMAdIB3QHvAgoCMQJiApsC2QMXA1IDhgOzA9sD/gQfBD0EWARwBIQElgSlBLMEwgTQBNwE4wTjBNwE0wTKBMoE1ATsBQsFLQVKBVsFXgVXBUwFQgU/BUYFVAVkBXIFewV/BX8FgAWGBZIFpAW8BdYF8QYLBiIGNgZHBlMGWwZgBmQGaAZuBncGgQaKBpEGkwaSBo4GigaFBoIGfQZ1BmcGUgY3BhcF9gXYBb8FqwWdBZMFiwWDBXsFcwVrBWQFXgVbBVoFXQVkBW8FfgWQBaQFtgXCBcQFvAWnBYoFaAVGBSkFFQUKBQYFCQUNBRAFDgUFBPUE3gTBBKIEgwRqBFkEUARNBEkEPwQrBA0D6gPMA7wDwAPXA/cEDQQGA9QDcALjAjsBkQD5AIMANAAJ//j/8//x/+r/2v/D/6f/iP9o/0n/L/8c/xP/Ff8i/zX/Tv9m/37/kv+l/7f/yf/c/+7//gANABwALwBHAGgAkwDGAPwBMQFfAYIBmQGlAaoBrAGvAbUBwAHPAeEB9gIPAisCSgJrAooCpAK1Ar0CvQK5ArcCuwLIAt4C+AMTAykDOAM/A0MDRgNLA1QDYgNzA4UDmQOtA8MD2wP1BA8EKAQ/BFIEYgRuBHkEgwSNBJUEmwSdBJ0EmwSZBJsEogSvBMIE1wTrBP0FCwUWBSMFMgVIBWMFgwWjBcEF1wXlBekF5AXXBccFtQWmBZsFmAWcBaYFtAXCBc4F1QXYBdYF0QXKBcIFugWzBbAFsAWyBbAFowWABT8E3gRkA+MDcAMjAwwDLQN/A+8EZATKBRUFQQVVBVkFVwVUBVAFSgU/BSwFFQT7BOUE1QTMBMsEzgTSBNYE2ATaBNoE2ATWBNAExwS6BKoEmQSKBIEEgASMBKMExATrBRQFOAVUBWYFbAVmBVUFPAUaBPIExgSZBG4ERgQiBAED4AO9A5YDagM8Aw4C4gK7ApkCfAJjAkwCNAIZAfwB3AG6AZYBcwFSATMBFgD4ANgAtQCPAGcAQAAb//n/2/++/6L/hf9n/0n/LP8Q/vT+2P67/p3+fv5h/kX+KP4H/dz9ov1W/Pr8l/w2++H7oft3+2D7WPtU+0/7Qvss+wz65Pq2+oP6TPoU+d75q/l/+Vn5Ovkd+QD44Pi5+Iz4Wfgi9+r3sPd39z/3CfbV9qP2dPZG9hn16/W89Yz1W/Us9P/02PS19Jf0ffRk9Ez0NPQe9Arz+vPs89/z0vPD87DzmvOD823zW/NK8zjzJPMJ8ufyv/KU8mzySfIt8hbyA/Hv8dnxwPGk8YbxZ/FF8R/w9fDI8JvwcPBM8C/wGfAI7/fv5O/M77Dvk+9371zvRO8s7xLu9+7a7rrum+597l/uQe4j7gTt5e3H7artju1z7VjtPO0g7QXs7ezY7MjsvOy27LLss+y47MLs0ezm7P7tGO007U/tbO2I7abtwu3c7fHt/e4B7f3t8+3o7dzt1O3O7cvty+3P7dft5u377hjuO+5i7ovuse7U7vPvDu8k7znvTu9l733vl++x78nv2+/m7+nv5u/f79nv2O/h7/XwFfBB8HfwtvD88UfxlvHm8jXygvLL8xDzUvOS89H0D/RM9Ib0vfTw9R/1SvVz9Zr1wPXk9gf2KPZH9mT2f/aY9rH2y/bn9wf3KvdP93L3lPex98v34/f8+Bn4Pvhr+KL44vks+YD53vpI+r37O/u+/EP8wv05/aX+Bv5e/q7++v9E/47/1gAeAGQApgDjARgBRAFqAYoBqgHQAf4CNgJ2ArsC/wM8A3EDnQPGA/AEHgRUBJAE0AUSBVQFlgXXBhkGXQagBuIHIQdeB5oH1ggVCFgIngjkCSkJagmoCeIKHApVCo0KwgryCx4LRQtrC5ILvQvvDCYMYgykDOwNOQ2MDeIONQ5/DrwO6w8SDzgPaA+pD/oQVRCvEPwRNhFeEXsRmRHAEfQSMhJyEqcSyxLcEt8S3hLfEuoS/RMVEy0TQRNSE2ETcxOME6wT0hP5FCAURRRnFIoUrxTZFQUVMhVfFYoVtBXdFgkWORZrFp8W0hcBFy0XVRd7F6IXyhfyGBwYQxhoGIoYqBjDGN0Y9BkKGR0ZKxk2GTsZPBk5GTUZLxkoGSAZFxkOGQQY+hjxGOYY3BjSGMcYuxiuGKEYkxiDGHEYXRhHGC8YFxf/F+sX2RfMF8EXuhe2F7MXshexF7AXrheoF6AXlheJF3wXcBdmF1wXVRdOF0gXRBdCF0QXSBdPF1cXXxdjF2QXYRdYF0sXORckFw4W9hbgFsoWtRagFocWaxZMFiwWDxX6FfAV8RX5FgIWBxYEFfkV6BXYFcwVxhXEFcEVtxWgFX0VURUjFPoU3BTLFMMUwhTDFMIUvRSzFKMUjhRyFE0UIBPuE7kThxNbEzUTFhL7EtcSvxKoEpISgBJzEmgSXBJLEjASDBHiEbkRlhGAEXkRfhGKEZQRlxGREYIRcBFhEV0RZhF8EZgRsxHCEb8RphF2ETYQ7RClEGYQMxALD+wPzg+sD4IPTw8UDtIOjQ5EDfgNqQ1YDQgMvQx8DEgMIAwAC+ULxwuiC3ULQgsKCtIKnQpqCjoKCQnYCaQJbAkwCPEIsAhsCCoH6gexB4EHXAdFBzsHPQdHB1YHZwd4B4cHkgeaB58HoAefB5sHkgeDB24HUgcxBw0G6AbEBqMGhQZqBlEGOwYoBhgGDAYDBf0F+QX3BfcF/AYFBhIGIgYyBj8GRQZFBkAGOQYyBi4GLAYsBiwGLAYtBi8GNQY9BkYGTAZMBkMGLwYSBewFwQWSBV8FKwT2BMUEmwR9BG0EawRzBIAEjQSVBJYEkQSJBH8EdwRxBG0EawRpBGgEZgRlBGMEYgRgBF4EXARaBFcEUgRKBDwEJwQKA+gDwgObA3QDTwMuAxAC9QLeAswCvwK5ArcCuAK4ArUCrQKfAosCdAJbAkACJAIFAeYBxwGqAZEBfgFvAWEBUQE7ARwA9QDKAJ8AeABYAD0AIwAG/+X/vf+T/2j/Qv8i/wj+8/7i/tX+zv7Q/tr+6f75/v7+7/7F/n3+Hv2v/T381fx//ED8F/v/+/H75fvU+7n7kftg+yj68Pq8+pH6bvpR+jT6Ffnw+cj5nvl3+Vf5Pvkq+Rb4//jh+L/4mPhv+Ef4Iff799T3rfeE91z3N/cW9vv25PbQ9rz2p/aO9nL2U/Y09hX1+/Xm9db1y/XB9bT1ofWH9Wb1QfUe9QH07/Tl9OD03PTT9ML0qPSH9GX0RfQs9Bz0EvQN9Aj0AfP28+fz1vPF87fzr/Or86zzrvOx87LzsfOu86vzqPOl86HznPOU84rzf/N082zzZ/Ni817zVvNI8zXzG/L+8t/yw/Ku8qLyofKs8sHy3PL68xXzLfM/80/zX/Nx84jzofO6887z2/Pc89Lzu/Oa83LzRPMU8uXyvPKb8oPyd/Jz8nXyefJ/8oPyiPKN8pPym/Ki8qbyqPKm8qPyoPKe8qHyp/Kx8r7yzPLb8uvy+fMI8xbzJfM180jzX/N685bzsvPI89jz3/Pf89zz2/Pe8+nz+/QT9C70SvRm9IP0n/S79Nf08fUH9Rn1J/Ux9Tf1PPU+9T71PPU59TT1LvUp9SX1IvUi9ST1KvU39Uv1afWQ9cD1+PY29nj2vfcF90/3mPfc+Bj4Sfhs+IP4kvie+K34w/jh+Qb5L/lZ+YP5rfnb+g76SvqP+tr7Jvtw+7L76/wb/Ef8cfyc/Mv8/P0v/WH9kf2//ev+Fv4//mX+hv6h/rX+xP7R/t/+8f8J/yf/Sf9u/5T/vP/kAA4AOwBpAJkAyAD0ARwBPwFdAXYBiwGeAa8BwQHUAeYB9gIDAgsCDgIPAhICGgIsAksCdwKtAukDJANbA4sDsgPSA+8EDAQpBEgEZwSEBJ0EsgTDBNAE2wTkBOoE7ATpBOEE1gTOBMsE1AToBQUFJgVEBVoFZQVmBWIFXgVeBWMFbQV3BYAFhQWHBYYFhwWMBZYFpQW4Bc0F4wX6BhIGKQZABlUGZgZ0Bn4GhQaKBo4GkQaTBpMGkgaOBooGhgaCBn8GfAZ1BmoGWgZDBigGCwXuBdUFwAWwBaUFnQWXBZAFiQV/BXQFaQVhBV4FYgVwBYYFpAXFBeYGAAYNBgkF8wXOBZ8FbgVFBSkFGwUaBSAFJwUoBSEFEgT9BOYE0AS6BKUEjwR4BF8EQwQiA/0D0AObA2IDLQMFAvMC/gMhA1ADdgN8A1EC7wJbAasA+ABd/+r/pf+K/4r/l/+k/6f/of+T/4H/b/9e/0//RP88/zn/Pf9I/1n/bv+E/5r/rv/A/9D/3//t//gAAQAFAAgADAAWACwAUgCHAMgBDgFQAYgBrwHEAcsBygHHAccBzQHZAekB/QITAi0CSQJqAosCqgLDAtIC1wLXAtUC2QLlAvoDFQMwA0gDWgNkA2sDcQN5A4UDkwOjA7IDwAPNA9wD7QQBBBkEMwRMBGIEdASCBIwElASbBKAEowSkBKUEpQSoBK4EugTKBN8E9QUIBRkFJgUxBT8FUgVsBYoFqwXJBeAF7QXvBeoF3wXTBcgFwAW6BbkFugXABcgF0gXbBeIF5QXkBeAF2gXUBc4FyAXBBbgFrQWfBYgFZQUxBOoEkgQyA9oDmgOBA5YD1QQwBJIE6AUkBUIFSQVDBToFNwU6BT8FQAU4BScFDgT0BNwEyQS7BLEEqQShBJkEkgSKBIEEdgRmBFEEOgQiBA8EAwQABAUEDwQaBCIEJAQeBBUECwQHBAsEGgQzBFAEawR+BIUEfQRpBE0ELAQJA+gDyAOnA4UDYQM7AxMC6wLCApsCdQJSAjICFQH6Ad8BwwGjAYABXAE6ARwBBADvANoAwgCkAIAAVwAtAAX/4f+//57/ev9U/yv/Af7Z/rb+mf6B/m3+Wv5G/iz+C/3e/aT9Wv0F/Kj8S/v4+7T7hPtm+1b7TftG+zn7J/sM+ur6wvqU+mL6Lfn5+cr5ofmA+Wb5Ufk7+SH5APjW+Kf4c/g++An31vek93T3RPcV9ub2t/aI9ln2KPX39cX1lPVk9TX1CvTj9L/0nvSA9GX0TfQ39CT0EvQC8/Hz3/PN87nzpPOQ833zavNX80HzJvMG8uLyu/KX8nfyXfJJ8jjyKPIV8f3x4vHC8aHxffFX8S7xAfDT8KfwfvBd8EPwL/Ad8Arv8+/Y77zvoO+J73XvZO9T7z7vJO8E7uHuvO6X7nTuUu4x7hHt8+3W7bztou2I7WztTu0u7Q7s8ezX7MPstuyt7Krsq+yx7Lzszezi7PvtFu0x7UztaO2D7aDtvO3U7eft8e3z7ezt4O3S7cPtt+2t7abto+2l7a3tvO3U7fLuFu487mLuh+6p7sfu4u757wzvHO8r7znvSe9Z72jvdO9773vvdu9w727vde+I76rv2fAT8FXwnPDo8TfxiPHb8i7yf/LK8xDzT/OI873z7/Qf9E/0fvSs9Nn1BfUv9Vj1fvWh9cL14fX/9hv2NfZQ9mn2g/ad9rn22Pb69x/3SPdy9533y/f7+C34Y/ie+Nz5H/lo+bj6Evp1+uP7WfvR/Ef8tv0b/Xf9yv4a/mf+tv8F/1T/ov/uADcAfAC+APsBMQFfAYUBpQHCAeICCAI5AnMCswL0AzMDawOeA80D/AQuBGYEogTjBSYFaAWrBe4GMQZzBrUG9gc2B3QHswfzCDUIeAi9CQAJQwmECcMKAgo+CnYKqgrXCv8LJAtLC3cLqgviDB0MWQyTDM8NEA1bDa8ODA5rDsQPEQ9PD4IPsQ/iEBkQWBCZENcRDRE9EWgRlBHGEf0SNhJqEpISrBK4Er0SwRLKEtsS8xMMEyUTOhNNE2ATdhOSE7QT2RP/FCUUSxRxFJoUxhT0FSIVTxV6FaMVzRX6FisWXhaTFscW9hchF0cXbReUF70X6BgUGD8YZRiHGKQYvhjWGOwZABkRGR4ZJRkoGSYZIxkfGRoZFRkQGQgY/xj1GOoY4BjWGMwYwhi2GKkYnBiOGIIYdRhoGFgYRBgqGA0X7xfUF8AXsxeuF68Xshe0F7QXshetF6cXnxeWF4oXfRdvF2IXWRdUF1IXUxdVF1YXVhdWF1gXXBdiF2kXbBdoF1sXRhcrFw0W8BbXFsEWrhacFokWcxZaFjwWHBX6FdkVvhWqFaAVoRWpFbYVwBXFFcMVuhWuFaUVohWmFawVsRWvFaEViRVqFUoVLRUXFQoVAhT8FPMU5BTMFKsUghRTFCAT6hO1E4UTWhM3ExoTAhLtEsESrBKXEoMSchJlElkSTBI6Eh8R+xHSEagRhhFxEWsRchF/EYsRjRGEEXERXBFMEUoRWBF0EZYRtBHCEboRmRFjESAQ2RCXEGEQNxAXD/oP2w+1D4UPSw8LDsYOgQ46DfMNqQ1dDRAMxwyDDEgMFgvsC8YLnwt1C0cLFgrjCrEKggpUCigJ/AnOCZwJaAkvCPMItQh3CDkH/wfKB50HeAdbB0YHOQczBzUHPwdNB2AHdAeHB5YHnwehB5wHkAd8B2MHRQcjBwIG5AbIBrIGngaMBnoGaAZVBkMGNAYpBiIGHgYeBiEGJwYwBjsGRwZQBlMGUAZGBjgGKQYfBhkGGgYeBiUGKwYyBjkGQQZJBlAGUwZQBkQGMAYXBfoF2gW6BZYFbgVBBRIE5QS/BKUEmgScBKgEtwTDBMoExwS+BLAEoQSUBIsEhwSJBI0EkwSZBJwEnASYBJEEiAR8BG0EWwRDBCUEAQPZA64DhANdAzwDIAMJAvYC5gLZAtACyQLFAsICwQK+ArcCrQKeAosCdAJaAj4CHwH/Ad4BvgGgAYcBcwFjAVYBRwEzARgA9QDOAKUAfgBcAD4AIQAD/+H/uf+P/2X/Pf8b/v/+6f7Z/s7+yv7P/t3+7v79/wD+7f6+/nD+Cv2W/SH8t/xg/CH7+fvg+9D7wfus+4z7Yvsw+vr6xvqa+nf6XPpF+iz6Dvnp+b75k/ls+Uz5NPkg+Qz49PjW+LH4ifhf+Df4Effs98b3n/d39073KPcG9uf2zPay9pf2e/Zd9j72HvX/9eL1yfW19aX1mPWM9X71bPVT9TX1FvT49N/0zfTA9Lb0q/Sc9In0cfRW9Dz0JfQT9Abz/PP18/Dz6fPf89HzwPOr85bzhPN382/zbfNu83Hzc/Nz83HzbvNq82TzXfNV80zzQvM58zLzLfMo8yLzGfMJ8vPy1/K38pTydPJZ8kbyPvJD8lTybvKO8q7yzPLl8vrzDPMe8zLzSPNf83bzifOX85vzlvOG82vzRvMZ8unyvPKW8nzybvJq8m3ycvJ28njyePJ48nryfvKE8onyi/KK8oXygPJ78nnyevKA8oryl/Kn8rnyy/Ld8u7y//MQ8yTzO/NX83TzkfOq87vzxPPH88jzyvPQ893z7vQD9Bn0MPRI9GH0ffSb9Lr01/Tw9QX1FfUg9Sn1L/Uy9TH1LPUj9Rn1EPUM9Q/1GfUq9UD1WvV39Zr1xPX29i/2b/az9vf3Ovd697X36/gc+Eb4Z/iA+JH4nfin+LX4yfjn+Q35Oflo+Zf5xfn0+ib6Xfqc+uP7Lft3+737+/wx/GL8kfzA/PL9Jv1a/Yz9uv3l/g7+N/5g/oj+rf7N/ub++f8H/xT/Jv8+/13/gv+r/9T//QAmAE4AdwCiAM4A+gEkAUkBZwF/AZEBoQGwAcMB2wH4AhcCNQJOAl4CZQJnAmkCcAKDAqUC0wMKA0QDegOoA80D6QQABBcEMARNBG0EjgSsBMQE1QTfBOUE6QTsBPAE8gTzBPAE6gTjBN4E4ATqBP0FFgUyBUsFXgVqBXEFdQV5BX4FhAWJBYwFjAWMBYwFjwWXBaMFswXGBdkF7QYCBhgGMQZLBmQGfQaRBqAGqgavBrAGrgaqBqQGnQaVBo0GhQZ+BngGcgZtBmUGWQZKBjcGIAYIBfEF3AXLBb4FtAWsBaUFnQWUBYoFgQV8BX0FhgWYBbIF1AX4BhsGNQZBBjsGIAXzBbsFggVRBTAFIQUgBSgFLwUwBSgFGQUHBPcE6wThBNYEwgSiBHMENwPvA6EDUAL/ArICcQJEAjICPwJnAp0CzgLjAssCfgIDAWsAzgBF/+D/pf+O/4//mv+k/6f/ov+Z/4//hv9+/3j/cf9s/2n/a/90/4P/lv+q/7z/yv/W/+D/6f/0//8ACgARABMAFAAWACEAOgBlAKMA7QE7AYABtQHVAeIB4AHYAdMB1AHeAe4CAgIWAi0CRwJkAoYCqALHAt8C7gL0AvcC/AMHAxkDMQNKA2EDcwOBA4sDlgOjA7MDxQPVA+ID7APzA/oEBAQRBCMENwRNBGMEdgSHBJQEngSmBKwEsQS1BLkEvgTFBM4E2gToBPkFCwUdBS0FPAVLBV4FdQWRBbAFzgXnBfYF+gX0BegF2wXRBcoFyAXJBcwF0AXVBdsF4wXqBfAF8wXzBfEF7QXqBeYF4AXVBcMFqAWFBVkFJgTtBK4EbwQ0BAcD8QP4BB4EWwSgBN8FCwUfBR4FEAUBBPoE/gUJBRUFGgUXBQwE/QTvBOQE2wTSBMQEsQSZBIEEaQRVBEEEKwQQA+8DzAOsA5QDiQOLA5cDpAOrA6UDjwNqAz4DFAL1AuoC9gMYA0kDgQO3A+IEAAQOBA4EAgPsA88DrAOGA14DOQMWAvcC2gK8ApwCeAJTAi4CDAHuAdIBtwGYAXUBUQEuARIA/gDwAOYA1wDAAJ0AcAA/ABD/5v/B/5//fP9U/yX+8v6//pL+b/5V/kP+Nf4j/gn94v2r/WT9E/y6/GP8FPvT+6L7gftt+1/7UvtC+y77FPr1+tH6p/p5+kf6E/nj+bj5l/l++Wv5WvlE+Sb5APjS+KL4cvhF+B33+ffY97j3lvdy90n3HPbq9rP2evZA9gf10PWc9Wv1PfUR9Oj0wfSe9ID0ZvRP9Dr0JvQQ8/jz4fPK87TzoPOO83vzZ/NP8zPzE/Lx8tDysvKZ8ofyefJu8mLyUvI88iHyAfHf8bzxmPFz8UzxIfD28MvwpfCF8GvwVvBB8CvwEO/y79Pvt++g747vfu9u71nvPu8d7vju0e6q7oXuYu5A7h/uAe3l7cvtsu2Y7XrtWO0z7Q3s6uzN7Lfsqeyj7KLspuyu7Lvsy+zf7PbtD+0n7UHtWu117ZDtqu3A7dDt2e3Z7dPtye287a/tou2W7Yzthe2F7Y3tnu237dft+e4c7j3uXe577pjusu7I7tju4u7o7uzu8u787wrvGe8l7y3vL+8v7zLvP+9Z74TvvO//8EjwlfDi8THxgPHR8iHybvK18vTzK/Na84TzrfPV8//0K/Ra9Ir0u/Tq9Rf1P/Vj9YL1nvW59dX18fYP9iz2R/Zh9nn2kvat9s328/ch91f3lPfW+Bz4Y/ir+PL5OfmA+cv6HPp2+tn7Q/ux/Bz8gfzc/TD9fv3K/hf+Zv64/wr/Wv+o//QAPgCJANMBGQFYAYwBswHOAeMB+AIUAjsCbwKtAvEDNANzA60D5AQaBFAEigTFBQMFQAV+BbwF+wY8Bn8GwwcHB0oHjQfPCBEIUwiVCNcJGAlYCZgJ1goSCkoKfQqsCtcLAgsxC2YLowvjDCMMXgyTDMQM+A03DYQN4Q5IDq8PDg9eD50Pzw/6ECUQVRCJEMAQ9xEtEWMRmBHPEgQSNhJgEn8SkRKbEqESqBK2EskS4hL9ExgTMhNNE2oTiROrE88T8hQUFDYUWRR/FKoU2BUIFTcVZRWRFbwV6RYaFk4WhBa5FukXFBc7F18XhhevF9sYCRg2GF8YgRieGLYYzBjhGPUZBxkVGR0ZHxkcGRcZERkMGQgZBRkAGPkY7xjjGNUYyRi9GLIYphiaGIwYfRhwGGMYWRhNGD8YKhgQF/EX0he5F6gXohelF6wXsxe2F7IXqRedF5EXhhd+F3YXcBdpF2UXZBdnF24XdRd6F3sXdxdwF2sXaBdpF2sXaBdcF0MXHxbzFsYWnRZ9FmYWVBZFFjUWIxYPFfsV6RXZFcsVvhWyFacVnhWXFZMVkBWOFYoVhRWBFYEVhxWVFagVvhXOFdUVzhW7FZ4VfhVgFUYVMhUfFQoU7hTKFJ0UaBQvE/UTvROKE14TOBMZEv8S6RLVEpMShBJ2EmkSXRJSEkYSOBIkEgkR5hG+EZcRdxFjEV8RZhFzEX4RfhFzEV8RSxE/EUQRWhF9EaMRvxHGEbMRhxFIEQAQuxCAEFIQMBAVD/sP2g+wD3sPPQ75DrIObA4oDeQNoQ1cDRcM0gyQDFIMGQvlC7ULiAtcCzALBArYCqwKgApVCikJ/AnPCZ8Jbwk8CQYIzwiXCGAIKwf6B80Howd8B1gHOAcgBxIHEgcfBzgHVwd4B5MHpgevB60HoQeNB3MHVQc1BxUG+QbiBtAGwga1BqgGmQaHBnQGYwZWBkwGRgZDBkMGRAZHBksGTgZOBkkGQAYxBiEGEQYGBgEGAwYLBhYGIwYyBkEGUAZeBmcGagZkBlQGPgYjBgkF8gXcBcYFrAWLBWUFPAUWBPgE5gTiBOcE8gT7BP4E+QTsBNoExwS5BLEEsgS6BMYE0gTZBNgEzwS/BKkEkAR2BFsEPgQfA/oD0wOpA4EDXQM/AycDFAMGAvkC7gLkAtwC1QLQAswCxwLAArYCqAKXAoICagJRAjUCGAH7AdwBvQGfAYMBaQFSAT0BKQEVAP0A4gDDAKIAgQBhAEIAIwAD/9//tv+M/2H/OP8V/vj+4P7P/sX+wv7H/tT+5P7y/vL+3P6p/lr99P2C/RD8q/xZ/Bz78/vW+7/7qPuL+2f7OvsI+tX6pPp6+lj6Pvon+hD59fnU+a75h/lj+UP5KPkQ+Pj42/i6+JX4bvhJ+CX4Avff97r3k/dq90D3Gfbz9tD2rvaN9mv2SfYo9gn16/XQ9bb1nvWJ9XX1Y/VS9UD1K/UV9P705vTR9L70r/Sg9JD0ffRo9FL0PvQs9Bz0D/QD8/Xz5/Pa883zwvO4863zn/OM83XzXfNI8zjzMPMu8zHzNvM68zzzO/M38zHzKPMd8xHzBvL98vjy9vL08vHy6vLc8sfyq/KK8mXyQfIf8gPx8PHp8fDyBPIj8kfybPKP8qzyw/LX8ujy+vMO8yLzNvNI81bzXfNa80zzM/MP8uXyu/KX8nzybfJo8mnybPJs8mnyZPJe8lryWfJb8l7yX/Jf8lvyVfJO8kjyRvJI8lDyXfJv8obyoPK68tTy7PMD8xrzM/NO82rzhvOd863zt/O887/zw/PM89jz6PP59Av0HPQu9EP0XPR59Jj0t/TU9Oz1APUP9Rz1JPUo9Sb1H/UV9Qv1B/UM9R31OfVe9Yn1tfXj9hP2R/aA9sD3BPdI94j3wvfz+Bz4Pvhc+Hb4jPid+Kr4svi5+MP40/jt+RL5Qfl1+av53/oQ+kD6cvqq+uj7Lft1+738Afw//Hf8q/ze/RL9R/17/av92P4A/iX+Sv5x/pr+xP7s/w//LP9F/1z/df+S/7X/2v//ACMAQwBhAH4AnAC+AOMBDAE2AV0BfwGbAbIBxgHbAfMCEQI0AloCfwKcArECvALAAsQCzgLiAwMDLwNgA5MDwAPmBAMEGgQwBEcEYgSBBKIEwgTdBPAE+QT7BPgE9ATzBPUE+gUABQMFAgT9BPYE8QTxBPgFCAUcBTMFSAVaBWgFcwV8BYQFiwWQBZIFkwWTBZUFmwWnBbgFzQXkBfsGEgYpBj8GWAZxBooGoga2BsUGzQbQBs8GywbEBrwGsgalBpgGigZ8BnAGZgZeBlkGUwZMBkIGNAYkBhEF/gXtBd8F0wXJBcEFuQW0BbAFsQW3BcIF0gXmBf0GFwYyBkwGYQZrBmUGTQYjBesFrwV4BU8FOAUyBTgFQAVEBUAFNgUoBRwFEgUHBPUE1AShBFsEBQOmA0YC6QKUAksCEAHqAdsB5wIMAj4CcAKMAoUCUQH1AX0A/gCKADH/9//Y/83/y//J/8b/v/+5/7T/sP+t/6j/of+Z/5T/lP+c/6z/wP/V/+b/8f/2//f/+P/8AAQAEAAbACIAJAAiACEAKwBGAHcAvAEOAWEBqAHaAfQB+wH2Ae8B7gH1AgMCFAImAjgCTAJlAoMCpgLKAukC/wMOAxcDHgMpAzgDTANhA3UDhgOUA6EDrwPAA9MD5wP4BAYEEAQXBB0EJAQtBDkERgRWBGcEeQSLBJwEqgS2BMAEyATPBNcE4ATqBPQE/QUIBRMFIQUxBUMFVgVrBYEFmAWwBckF3gXvBfgF+gX1Be0F5AXeBdoF2QXYBdcF1wXZBd4F5gXwBfsGAgYFBgUGAwYABfsF8gXhBcQFmwVpBTIE+gTHBJoEdARWBEMEPQRHBF8EgASkBMIE0wTXBNIEzATLBNQE5AT2BQMFCAUFBP0E9gTxBO4E5wTXBLoEkQRhBDAEBQPhA8QDqAOLA2oDSQMtAx0DHAMpAz8DVgNkA2MDUAMtAwAC0QKoAosCfwKFApoCvALoAxkDTgOAA6wDygPWA8sDqQN1AzoDAALRArECnwKVAooCegJgAkACHQH7AdoBugGYAXMBTAEoAQsA+QDwAOoA4ADKAKYAdQA/AAv/3/+9/6D/g/9g/zP+/v7H/pP+aP5J/jH+Hf4E/eH9r/1u/SH8zfx6/C/78PvA+577hftz+2L7T/s5+yD7Bfrn+sX6nfpu+jr6BPnR+ab5hflt+Vv5SPkw+RD46fi++JP4bvhQ+Dj4J/gX+Ab38vfZ97j3jfdZ9xv21/aQ9kr2CPXN9Zb1ZPU09Qf03PS19JP0d/Re9Ef0L/QT8/bz2PO786LzjfN582XzT/M18xfy+fLc8sTysvKm8p/ymfKS8obydPJb8j7yH/IA8eHxw/Gk8YLxXPE08Qvw5PDC8KXwi/Bx8FbwOPAY7/fv2e/A76rvle+A72fvSe8n7wPu3u667pfude5S7jDuD+3w7dLtte2Y7XftUu0q7QHs3ey/7KvsoOyc7J/spuyx7L7szeze7PDtBO0Y7SztQ+1a7XLtiO2b7ajtru2u7avtpe2e7Zbtje2D7Xntce1x7Xjtiu2k7cPt4+4C7h/uOu5U7m7uhe6Y7qPupu6l7qPupu6x7sXu3e7z7wPvCu8L7w7vGu8272Tvo+/t8Dzwi/DZ8SXxcfG78gTySPKG8rvy6fMQ8zXzWvOA86vz2PQJ9Dz0cPSi9NL0/fUj9UT1YPV79Zf1tPXT9fH2DfYl9jr2TfZi9n32oPbP9wj3TPeY9+j4O/iM+Nv5Jflt+bX5//pP+qf7B/tr+9H8NPyR/Of9N/2F/dH+H/5u/r7/Df9c/6v//ABPAKQA+AFGAYcBtwHWAeYB8QH9AhUCOwJxArMC+wNDA4cDxwQDBD0EdgSuBOUFGgVPBYYFvwX9BkEGiQbUBx8HaAevB/QINgh3CLYI9AkwCWsJpQneChYKTAqACrQK6QsiC2ALpAvrDDAMcQysDOENFw1TDZsN7g5KDqYO+g9AD3gPpQ/ND/gQKhBkEKQQ5hEmEWQRnBHREgASKRJKEmMScxJ/EooSlxKpEr8S2RL1ExITMRNTE3cTnRPEE+kUCxQrFEoUaxSRFLwU6hUbFUwVexWqFdgWCRY9FnIWphbXFwUXLhdVF30XpxfUGAIYLxhXGHkYlRisGMAY0xjmGPgZBxkSGRYZFRkPGQgZABj7GPcY9BjwGOkY3hjQGMIYsximGJoYjhiBGHIYYxhUGEYYORgtGB4YCxf0F9sXwhewF6YXpReqF7EXsxeuF6IXkReBF3YXcRdyF3cXfBeBF4YXjBeSF5kXnhedF5QXhRdzF2IXWBdUF1UXUhdFFykW/hbJFpEWXxY3FhkWBBXzFeUV2BXOFcwV0hXeFe0V9hX2FekV0RWyFZQVfBVtFWcVaBVwFX0VjhWjFbwV1BXoFfEV7BXaFbsVlhVxFVAVNRUdFQQU5hTAFJAUWhQhE+cTsBN8E00TIhL8EtoSvhKmEmMSWRJUElASShJCEjUSJBIPEfQR1BGxEY8RcxFhEVwRYRFrEXIRcBFjEU8RPRE2EUERXRGDEakRwBG+EaERbBEpEOMQoxBwEEsQLhAVD/kP1A+lD2sPKQ7iDpoOUw4PDc8NkA1UDRcM2gyeDGMMKwv2C8QLlwtsC0QLHAr0CssKoApyCkQKFAnlCbYJhwlWCSMI7gi4CIIITggdB+4HvweRB2IHNwcUBv4G+gcJBygHUAd6B54HtwfEB8UHvQetB5gHfwdiB0UHKAcQBvwG7AbfBtMGxQa0BqMGkQaBBnQGaQZgBlcGTgZFBjwGNAYrBiEGFQYIBfoF7gXnBeYF7AX5BgsGIQY6BlUGbwaFBpQGmAaPBnoGXgY/BiEGCQX2BeYF1QXABaUFhgVnBUwFOQUvBSwFLgUvBSsFIgUSBP8E7QTgBNwE4QTtBPsFBQUHBPwE5gTGBKIEfQRaBDsEHQP+A94DvQObA30DYwNPAz8DMQMjAxUDBgL3AusC4QLZAtMCzALCArYCpQKRAnoCXwJEAigCDQHzAdkBvgGjAYUBZwFIASoBDgD1AN0AxQCsAJIAdQBZADwAHv/+/9r/tP+K/2H/O/8a/v/+6f7Z/s7+yf7K/tH+2/7i/tz+wv6N/j/93P1x/Qj8rfxk/C38BPvj+8P7oft6+077Hvrt+rz6jvpk+kD6IvoI+fD51/m7+Zz5e/lZ+Tj5GPj4+Nj4tviS+G74S/gp+An36PfG96D3ePdO9yb2//ba9rb2kvZs9kX2H/X79dv1v/Wl9Y31dvVf9Un1M/Ud9Qj08/Tf9Mz0u/Ss9KD0kvSC9Gz0U/Q39B70CvP98/Xz7fPi89LzvfOl85HzgfN483PzbPNh80/zOPMg8wvy+/Ly8vDy8fLz8vXy9fLy8u3y5PLZ8s7yxfK+8rzyvPK+8r3yt/Kr8pnygvJn8knyKfII8ejxzfG58bLxuPHN8e3yEvI58lzye/KU8qvywPLU8uny/PMP8x3zJ/Mp8yPzE/L78t3yvPKf8onyevJz8nDybfJo8l/yUvJF8jnyMPIq8ibyJfIi8h/yHPIY8hTyE/IU8hvyJ/I68lPycvKU8rfy2vL88xvzOvNX83HziPOa86Xzq/Ou87DztfO+88zz3PPs8/v0CfQY9Cn0P/RZ9HX0lPSx9Mv04/T39Qj1FPUb9R31G/UW9RX1HPUv9U/1fPWy9e32KfZl9qD23Pcb91r3mffU+Aj4MvhS+Gn4e/iJ+Jb4ovit+LX4u/jB+Mr42fjy+Rf5Rvl8+bX57Pog+lD6gPq0+vD7NPuA+8/8G/xh/J/81v0I/Tn9aP2X/cT97f4S/jT+V/58/qb+0/8B/y3/V/98/6D/wv/lAAkAKwBJAGMAeACKAJ0AswDQAPMBHAFIAXUBoAHHAeoCCgIoAkgCaQKMAq8CzgLnAvgDAwMKAxIDIAM3A1cDfgOoA9AD9AQSBCoEQQRYBHMEkQSxBNIE8AUHBRYFHAUaBRQFDQUIBQgFDAURBRMFEgULBQIE+ATzBPQE/AUKBRsFLAU8BUoFVgVjBXAFfAWHBY4FkwWXBZsFpAWyBcYF3wX7BhcGMgZMBmUGfgaXBq4GwwbSBt0G4QbhBt0G2AbRBskGvwayBqIGjwZ9Bm0GYQZZBlYGVgZWBlMGTAZBBjMGJQYWBgkF/gX1Be4F6gXqBfAF+wYMBh8GMgZEBlMGYQZvBn4GjAaVBpMGgQZcBigF7AWzBYYFagVhBWMFaQVpBWAFTQUyBRME8wTRBKkEdgQ2A+oDlgNCAvICrAJvAjwCFAH5Ae4B9wITAj0CaQKGAogCZQIdAbsBTQDjAIoASAAeAAX/+P/w/+r/5f/i/+H/4P/e/9r/0//L/8X/w//J/9T/5P/2AAQADAAOAAsABwAGAAwAFwAlADEANQAxACcAIQAoAEcAgQDTATIBjgHaAg0CJwIuAi0CKwIvAjkCRQJRAl0CagJ7ApMCsgLVAvUDEAMkAzEDOwNHA1UDZgN4A4cDlQOhA60DvAPNA+ED9AQGBBUEIgQuBDoERgRRBFsEZARtBHkEhwSZBKwEvQTMBNcE4AToBPIE/QUKBRUFHwUoBTEFPgVOBWQFfAWUBakFvAXKBdcF4QXqBfAF9QX3BfgF9wX2BfMF7wXoBeAF2gXYBdwF5gX0BgEGCwYPBg4GDAYIBgIF+AXkBcMFlQVeBSQE8ATFBKUEjAR5BGcEVwRLBEYESQRTBGEEcAR/BJAEowS6BNUE7wUCBQsFBwT8BOwE3wTSBMQErQSIBFIEEQPMA40DWgM1AxsDBALtAtUCvQKuAqoCtgLQAvEDEgMuAz8DRAM+Ay4DFQL2AtACpgJ9AloCRAJDAl0CkwLfAzYDhgO+A9ADtwN3AyECyQKBAlYCSAJQAmACaQJjAk0CKgIAAdUBqwGCAVoBMgEPAPMA4QDZANQAywC3AJUAZgAx////1f+2/5z/g/9k/zv/Cv7W/qX+fP5c/kH+JP4A/c/9kP1F/PT8ovxX/Bf74/u6+5r7f/tm+0z7M/sa+wP67PrU+rf6kfpi+iv58fm5+Yn5ZPlJ+TT5H/kH+On4x/il+If4cPhf+FT4TPhF+Dv4Lvgc+AH33Peq92r3H/bO9n32MPXr9a/1efVH9Rf06vTA9Jz0ffRj9Er0MfQU8/Tz0/Oz85bzffNo81PzPfMl8w3y9vLj8tXyzfLH8sHyufKt8pzyhvJt8lTyPPIm8hHx/PHl8crxqfGE8VzxM/EM8OfwxfCk8IPwY/BC8CLwBO/p79Dvt++c737vXO857xXu8+7R7q/ujO5n7kHuG+327dPtsu2R7W7tSe0j7P7s3uzE7LPsquyo7Kzssuy87Mfs1Ozh7O7s++0I7RbtJu047UrtW+1p7XLtdu127Xbtde117XXtc+1u7WftYe1g7Wjteu2T7bHtz+3r7gTuG+4x7kfuWu5n7m3ua+5m7mXubO6A7p7uwO7d7u/u8+7u7uru8e8M7z7vgu/S8CfwefDH8RDxVvGa8dzyGPJO8n3ypPLI8uzzEvM782fzlfPD8/P0IvRS9IL0r/TZ9P/1IPU+9Vv1ePWU9a71xfXX9ef19/YL9ij2T/aD9sP3C/da9634APhU+KX48/k++Yb5z/oa+mv6w/si+4b77fxR/LD9B/1X/aH96f4v/nf+w/8S/2b/vgAbAHoA2AEvAXgBsAHUAeYB7QHzAgACGwJHAoECxQMMA1QDmAPZBBkEVgSRBMgE/AUtBV4FkgXMBg8GWQaoBvkHSQeVB94IIwhkCKMI3gkWCUwJgQm3Ce8KKgpnCqUK4wsiC2MLqAvvDDgMgQzIDQwNUA2UDdoOIA5kDqIO1w8DDygPTA93D60P7xA8EI4Q3hEoEWcRnRHKEe8SDhIoEj4SURJjEnYSjBKkEr8S3BL5ExgTORNcE4ETqBPPE/QUFxQ4FFsUgBSqFNgVCRU7FWwVnBXMFfwWLRZfFpEWwRbvFxoXRhdxF58Xzhf+GCoYURhyGIwYohi1GMcY2BjoGPYZABkEGQQY/xj4GO8Y6BjiGN0Y2RjUGM0Ywxi2GKcYmRiLGH4YchhmGFgYSBg3GCcYFhgHF/gX6BfYF8kXvBe0F7EXshe1F7UXrxejF5IXgRd2F3MXeReGF5QXnxemF6kXqBemF6IXmxeOF3oXYRdHFzIXJhckFygXKhcjFwsW4hatFnQWPhYTFfMV3BXJFboVrhWoFa4VwBXcFfsWExYbFg4V7xXEFZkVdxVlFWUVdBWMFacVwBXVFeQV7hXwFekV2BW9FZoVdBVPFTAVGBUEFPAU1xS2FIsUWhQlE+4TuROEE1ATHBLpErsSlBJ2ElUSSxJHEkUSQBI2EiYSEhH8EeQRyRGtEZEReBFnEV4RXxFjEWYRYxFXEUcRORE2EUIRXhGBEaARrhGlEYERShEJEMgQkRBmEEYQKxAPD+0Pwg+MD04PCg7CDnsONg31DbgNfw1IDRMM3gypDHUMQwwTC+cLvguYC3QLTwspCwAK1AqlCnUKQwoSCd8JrAl2CT0JAgjGCIwIVggkB/YHyAebB20HQQcdBwgHBQcWBzYHYAeKB6wHxAfQB9QH0AfJB70HrQeYB38HZAdKBzIHHwcPBwAG8QbgBs4GvAapBpgGhgZ0BmAGSgY0Bh4GCwX7Be4F4gXZBdAFygXJBc8F2wXvBgoGKgZMBm8GjwaoBrcGuQatBpYGdwZVBjUGGgYGBfUF5gXVBcAFqgWSBX0FbQVhBVsFVwVUBU8FRQU4BSgFGAUMBQUFBQUKBQ8FEQUJBPYE1wSxBIgEYQQ+BCEECAPvA9YDvQOkA48DfQNvA2IDVANDAy8DGwMHAvYC6gLgAtgCzgLDArQCogKMAnICVwI5AhsB/wHlAc4BtwGeAYMBYwFBAR4A/QDfAMMAqgCRAHcAXQBCACcADP/w/9H/rv+I/2P/Qf8k/w3+/P7u/uL+2f7T/tH+0v7Q/sT+pv5x/iT9xf1g/QD8rvxu/D78F/vz+8v7nvts+zn7CPrZ+q36hPpd+jj6F/n4+dz5wfml+Yf5ZvlD+R349/jQ+Kn4g/hf+Dz4Hff+9+D3wPed93f3T/cn9wP24fbC9qL2gPZa9jD2BvXe9bn1mfV+9WX1TvU49SP1DvT69Ob00fS99Kr0mvSM9IH0dPRj9Er0LPQM8+/z2vPN88fzwvO486Xzi/Nt81PzQfM58zjzOfM18yrzGPMA8ufy0vLB8rXyrvKp8qbyo/Kh8p3ymfKS8ozyhvKD8oTyhvKH8obyf/Jz8mTyU/JC8jHyHvIH8ezxz/Gz8Z3xk/GX8afxwfHh8gLyI/JC8l/ye/KV8q7yw/LU8uHy6fLt8uvy5PLX8sfys/Kg8o7yfvJy8mfyXfJR8kPyM/Ih8hDyAPHz8ejx4fHd8dzx3vHh8eXx6PHt8fPx/PIL8iHyP/Jk8o7yu/Lp8xTzO/Nd83fzifOT85bzlfOS85HzlfOf86zzvfPP89/z7vP99A30IPQ29E/0a/SI9KT0wPTZ9PD1A/US9R31JfUt9Tr1T/Vv9Zv10vYR9lX2m/bh9yX3Z/em99/4Efg8+F34d/iK+Jf4oPim+Kn4q/it+LD4tvjA+NH46fkK+TP5YvmV+cn5/Pot+l36jvrF+wX7Tvug+/b8SfyU/NX9Cv03/WD9h/2v/df9/v4j/kj+bf6W/sL+8f8i/1P/gf+r/9L/9wAaADsAWQByAIgAmwCtAMEA2gD5AR8BSwF6AaoB2gIIAjQCXQKDAqcCyALmAwADFQMlAzEDOgNEA1MDZwOCA6QDyAPrBAwEKARABFYEbASDBJ0EugTYBPYFEQUnBTYFPgU+BToFNAUuBSoFJwUkBR4FFQUIBPkE7QTmBOYE7QT4BQQFDwUaBSMFLgU8BUwFXQVtBXoFhAWMBZQFnwWuBcQF3gX6BhcGNAZQBmoGhAadBrQGxwbVBtwG3QbaBtQGzQbGBr4GtAanBpgGhgZ2BmkGYQZfBmEGZQZoBmgGYwZbBlEGRwY+BjkGNQYzBjQGNgY9BkcGVQZlBnQGgAaHBowGkAaWBqEGrga5BroGrAaMBlwGJAXuBcMFqQWeBZsFlQWEBWIFLwTyBK8EbgQwA/UDvQOFA00DGQLqAsICoAKDAmcCTQI2AikCKwI/AmAChgKkAqwCkwJYAf8BlgEqAMkAfQBHACYAFgAQAA8AEAAQAA4ADAAKAAcAAwAA//3/+v/4//f/+f/9AAMACAALAAsACwANABMAIQAzAEUATwBNAD8AKwAfACgAUACYAPgBYQHBAgsCOgJSAlsCYAJmAnECfAKGAowCkgKbAqsCwwLhAwADGgMuAz0DSgNXA2YDdwOIA5UDoAOpA7QDwQPSA+QD9gQGBBQEIwQzBEYEWgRsBHkEgwSKBJEEnQStBMAE0wThBOwE8wT6BQMFEQUhBTAFPgVJBVQFYAVyBYkFowW8BdAF3gXlBegF6gXuBfMF+gYABgQGBgYEBf8F+AXuBeMF3AXaBd8F6gX4BgUGDQYPBg0GCQYHBgQF/QXtBc4FoQVqBTIE/wTXBLkEnwSFBGYEQgQgBAUD+AP8BBAELwRUBHwEpQTMBO4FBwUTBQ8E/ATfBLwEmARyBEgEFQPYA5IDSgMJAtgCuAKoAqECmgKOAn4CbgJjAmMCcAKHAqICvwLZAvIDCAMdAy4DNQMvAxUC5wKpAmQCJQH9AfgCHAJmAssDMwOFA6wDnQNbAvcCigIwAfkB6wH9Ah0COAI/Ai4CCAHXAaIBcgFHASEA/wDhAMkAuQCvAKkAoACPAHQATgAj//r/1f+3/5v/fv9a/y//AP7S/qv+jP50/l7+Qv4a/eP9n/1R/QD8s/xt/DD7/PvN+6L7eftS+y37DPrx+tr6x/qy+pf6c/pF+g751Pmd+Wz5Rvko+Q/4+fjg+MX4qviQ+Hv4avhf+FX4TPhB+Db4KPgX+AH34ve193r3Mfbe9or2OvXy9bX1gPVR9SP09/TM9Kb0hPRo9E/0NvQc8/7z3vO+86HzhvNu81nzRvMz8yTzF/MN8wXy/vL08uby0/K88qTyjfJ58mjyW/JQ8kXyOPIo8hLx9vHT8azxgfFU8Snw//DY8LTwkvBx8FPwN/Ac8ALv5u/I76fvg+9d7zjvE+7v7svupu5/7lfuL+4H7eLtvu2c7XntVu007RXs++zm7Njsz+zL7Mnsy+zQ7Njs4ezq7PPs+u0A7QbtDu0X7SPtLu037T3tP+1B7UPtR+1N7VPtVu1W7VPtT+1P7VftZ+1/7Zrttu3P7eXt+e4M7hzuKe4x7jLuL+4s7jDuQe5g7onus+7T7uPu4u7W7szuz+7q7x7vZe+48AzwW/Cl8OnxK/Fs8avx5vIZ8kXya/KO8rPy3PMI8zXzYfOL87Lz2fQC9C30WfSG9LL02vT+9R71OvVS9WX1c/V99Yb1k/Wp9c72AfZC9oz23Pcs93v3yfgW+GT4svkB+U75mvnn+jb6ivrl+0n7svwd/IT84f0y/Xf9s/3s/ij+a/64/xD/cv/bAEcAsQETAWcBpwHTAesB9AH3Af4CEAIwAl8CmALYAxkDWwOdA+EEJQRqBKsE5wUdBU8FgQW3BfUGOwaIBtkHKQd3B8IICghQCJMI0QkKCT8JcgmmCd8KHQphCqYK6wsuC24LrgvwDDYMgQzODR4Naw20DfcOMA5gDoYOpA6/Dt0PBg89D4UP2hA3EJQQ6BEvEWgRlRG4EdUR7hIGEh0SNBJMEmYSgxKiEsMS5BMFEycTSRNsE5ATtBPZE/0UIRRHFHAUnBTNFP8VMhVkFZQVxBXzFiEWURZ/FqwW2BcEFzEXXxeRF8MX9BghGEcYZxiAGJYYqRi9GNAY4BjsGPIY8xjvGOgY4BjZGNIYzRjIGMIYvRi2GK4YpBiXGIgYeRhqGFwYUBhEGDgYKhgaGAkX9xfnF9kXzxfHF8IXvxe+F70XvBe5F7IXqRedF5MXjBeNF5YXpBe0F8AXxRfAF7MXoBeMF3cXYhdLFzIXGRcCFvIW7BbwFvkW/xb7FuYWwRaQFlsWLBYHFe4V3RXQFcIVtBWoFaMVqRW6FdIV6BX1FfEV3BW8FZsVgxV8FYgVoxXHFeoWBRYSFhIWBhXxFdUVtRWTFXAVThUwFRgVBRT1FOIUyRSoFH8UTxQdE+wTvBOME1oTJRLvEroSjRJqEnASYRJYElASQxIyEhwSBBHuEdkRxRGwEZkRgRFsEVwRUxFPEU4RSxFDETgRMBEvEToRTxFpEXwRgRFwEUoRFRDZEJ8QbhBIECgQCg/qD8IPkg9bDx4O3Q6cDlwOHw3lDa8NfQ1LDRoM6Qy3DIYMVwwsDAYL4gvBC6ALfgtZCzELBwraCqwKfApJChMJ2AmYCVQJDgjKCIkIUAgfB/UHzgeoB4IHXgdBBy8HLQc7B1cHeQeaB7QHxgfPB9MH1QfVB9MHzQfBB68HmQeBB2sHVwdGBzYHJQcSBv0G5gbOBrYGnQaCBmUGRQYlBgcF7QXYBckFvgW3BbQFtAW5BcUF2QXzBhIGNQZYBngGkgakBq0GqgadBogGbgZTBjgGIAYKBfYF4gXOBbgFowWPBX0FbwVlBWAFXQVdBVsFVwVQBUMFMwUjBRMFBwT+BPcE7gTgBMkEqwSJBGUERQQpBBED+wPnA9EDvAOoA5cDiAN8A24DXgNKAzQDHQMKAvoC7QLjAtgCygK6AqcCkwJ9AmYCTAIvAhIB9AHXAb0BpAGMAXABUgEwAQ0A6gDJAKsAjgByAFYAOgAgAAj/8f/a/8D/of9//1z/PP8i/w//AP7z/uX+1v7H/rz+tf6v/qP+iP5Y/hH9t/1V/Pj8qvxt/D78GPvw+8P7j/tY+yH68PrG+qH6f/pd+jn6FPnw+c35q/mJ+Wb5QfkZ+O74w/iY+G74SPgl+AX36ffN97H3k/dx90z3J/cD9uT2yPav9pT2dfZQ9ib1+fXN9aP1fvVe9UL1KvUW9QX09fTm9NX0wfSs9Jf0hPR19Gj0W/RL9DP0FPPy89LzuvOr86Tzn/OW84Xza/NO8zPzH/MU8xLzEfMN8wPy8vLc8sXyrvKb8oryffJz8mzyaPJm8mXyY/Jh8l/yXfJe8mHyZPJl8mHyWPJK8jryLPIh8hjyD/IB8e3x0vGy8ZTxfPFv8W7xePGK8aLxv/Hd8f7yH/I/8lvyc/KF8pHymPKc8pzym/KW8o/yg/J08mLyTfI48iPyEfIC8fXx6fHd8c/xwfGy8aXxnPGY8Zvxo/Gu8brxxPHN8dTx2/Hm8fjyEvI28mPyl/LN8wLzMPNV823zevN983jzcPNp82bzaPNx837zkPOj87bzx/PY8+jz+fQN9CP0PvRb9Hv0nPS99Nv09/UP9SX1O/VT9XD1lPXA9fT2L/Zw9rf3APdK95L31fgP+D74Yvh++JT4pvi4+Mj40/jY+NX4zPjC+L34wvjV+PX5IPlP+YD5rvna+gP6K/pU+oD6sfrq+yz7ePvM/CL8dvzC/QH9NP1c/X/9of3G/e/+Gv5I/nb+pf7V/wb/OP9p/5f/wf/lAAYAJQBDAGEAfwCdALoA1gDzARMBNgFdAYcBswHgAg0COQJkAo0CtALYAvkDFQMtA0ADTgNaA2QDbwN+A5IDrAPLA+0EEAQwBE0EZQR6BI4EoQS3BM4E6AUCBRwFNAVHBVUFXQVfBVwFVgVPBUcFPgUzBSQFEgT9BOoE3ATVBNYE3gToBPME/AUEBQsFFQUhBTIFRAVVBWQFcQV7BYcFlAWmBbwF1QXvBgoGJAY9BlcGcAaKBqAGswbBBscGyAbDBrsGsQamBpsGjgaBBnQGaAZgBl0GXwZlBmwGcwZ1BnMGbQZmBmEGXwZhBmkGdAaABowGlwahBqkGrgawBq4GqAahBpsGmwajBrMGxQbUBtcGyQapBnoGRwYZBfYF4AXRBcEFpAV0BS4E2AR5BBwDyQOEA04DJgMHAvEC4gLXAs8CxgK5AqUCjAJyAl0CVQJeAngCmgK4AsYCuAKJAjsB1gFpAQEAqgBrAEUANAAyADcAPAA8ADcAMAAoACUAJQAnACkAJgAdAA8AAf/2//L/9f/8AAUADAATABwAKwBAAFcAaQBuAGMASQAuACIAMQBiALIBEgFxAcAB9wIZAi4CQAJTAmoCfwKPApYCmQKdAqgCvQLZAvcDEwMpAzoDSANYA2oDfgORA58DqgOzA7wDyQPZA+oD+QQFBA8EGwQrBEAEWQRyBIUEkgSaBKEEqgS6BM0E4QTxBPwFAwUJBRIFIQU0BUkFWgVoBXMFfgWOBaMFvAXVBekF9gX8Bf8GAQYEBggGDQYPBg0GCQYBBfgF7wXnBeIF3wXhBekF9AYBBgwGEgYUBhMGEgYTBhMGDQX9Bd0FrgV2BTwFCATfBL4EoAR+BFYEKAP/A+ID2gPpBAwEOwRvBKEEzgT0BREFIAUgBQ4E6QS1BHYEMgPrA6MDWAMPAssCkwJvAmACZQJ1AocCkQKPAoMCcwJmAl8CXwJiAmYCaQJrAnECfQKRAqwCxgLYAtsCygKmAnUCQAIUAf4CBwIyAngCyQMPAzUDLQL1ApwCNwHfAagBmQGpAccB4QHoAdYBrwF+AU0BJAEGAO8A2wDJALcApgCXAIoAfABqAFMAOAAb//3/4P/E/6T/fv9R/x/+7P7A/p3+hv53/mr+Vv42/gj9zv2L/Ub9Afy+/H78P/wA+8L7hftO+x769/rY+r/6p/qO+nD6S/of+fD5v/mR+Wj5Rfkn+Qz48fjV+Lj4nPiB+Gr4VfhE+DP4IvgR9/737PfZ98L3pfd+90n3CfbA9nT2LfXu9br1jvVm9T71FfTq9MH0nPR89GH0SfQx9Bjz/fPf88LzpvOO83nzZ/NZ80/zSPNB8znzLfMa8wLy5fLH8q3ymfKM8oXygfJ98nbya/Jb8kbyLPIM8efxvfGR8WXxO/EU8PHw0PCy8JTwd/BZ8DvwHO/679bvsO+J72LvOu8T7u3uyO6i7nzuV+4y7g7t6u3H7aPtge1h7UXtLu0c7Q/tBOz77PTs8Ozu7PHs9uz77QDtAu0D7QLtAu0E7QntD+0U7RjtGu0b7R7tJO0s7TTtOu097TztOu077UPtUu1n7YDtmO2v7cLt0+3h7e7t9u367frt9+357gTuHu5G7nbupe7I7tju1u7K7sDuxe7g7xPvVu+h7+vwL/Bv8Kzw7PEt8W/xrfHj8hDyNvJa8oDyqvLY8wfzMvNY83rzmvO78+H0C/Q39GX0kvS79OD0//UX9Sb1LfUv9TH1OvVR9Xz1u/YJ9mD2t/cK91f3nffi+Cn4dfjF+Rf5avm7+gz6X/q4+xj7gPvr/FP8sf0A/T79b/2Y/cT9+f49/pL++P9r/+YAYQDXAT8BkwHOAfECAAIDAgYCEAInAkwCfAKyAusDJQNiA6QD7AQ5BIUEzgUPBUgFfQWyBesGKwZyBrsHBgdQB5kH4wguCHgIvgj+CTgJbgmiCdkKFwpbCqQK7QszC3QLsgvvDC4Mcwy8DQgNUg2XDdMOBQ4uDlEOcg6XDsUPAA9KD58P+xBVEKcQ7REmEVERdRGTEa8RyxHnEgMSIBI9ElwSfRKfEsQS6RMOEzQTWhOBE6cTzBPwFBUUOhRjFI8UvxTxFSQVVxWIFbYV5RYTFkEWbxadFskW9BchF1AXghe1F+cYFBg6GFkYcBiEGJgYrRjCGNYY4xjoGOUY3BjRGMcYwRi9GLwYuxi4GLIYqhigGJYYihh8GGwYWxhJGDoYLBghGBcYDBgAF/IX5BfXF84XyRfIF8kXyhfIF8MXvBezF6oXoxegF6IXqRe1F8UX0xfeF+AX1xfEF6gXhxdkF0IXJBcKFvUW5RbbFtgW3BblFu0W7hbjFskWoRZwFkAWFxX7Fe0V6BXnFeEV1BW/FagVlBWMFZAVnhWxFcEVyRXIFcEVuhW8FcoV5BYEFiMWOBY8Fi8WFRXxFcsVpxWHFWsVUhU7FSYVDxT1FNcUshSFFFQUIBPvE8ITnBN5E1UTLhMDEtYSrBKJEpoShhJ2EmUSURI4EhwSARHpEdURxBGzEZ8RhhFrEVIRPREvESYRIBEYERARChEHEQwRFxElES0RKhEWEPIQwhCMEFgQKhADD+EPwA+dD3UPSA8WDuEOqw51DkEOEQ3lDbwNkw1pDTsNCQzVDKEMcAxFDB8L/gvfC8ALngt6C1QLLAsECtoKrQp7CkMKBAm+CXMJJgjbCJcIWwgqCAIH4AfBB6UHigd0B2YHYwdrB3wHkgemB7YHvwfFB8gHywfPB9IH0gfNB8IHtAekB5UHiAd7B20HWwdGBy0HEAbyBtQGtAaTBnAGTAYpBgcF6gXTBcIFtwWyBbEFtgXABc8F5AX9BhgGMwZLBl4GawZyBnIGbgZlBlkGSwY7BioGFwYCBesF0wW6BaEFiwV3BWYFWQVQBUoFSAVIBUgFRQU+BTIFIAUKBPQE4ATPBMIEtASlBJEEeQReBEMEKgQUBAAD7QPZA8UDsQOfA5ADgwN2A2gDVgNAAyoDFgMFAvkC7wLjAtMCvwKnAo8CeAJkAlECPQImAgsB7QHNAa0BjwFxAVMBMgEPAOwAyQCoAIgAaQBKACwAD//1/+D/zP+5/6P/iP9n/0b/J/8O/vz+7v7g/s3+t/6h/o7+hP5//nv+bf5K/g/9vf1e/P/8q/xn/DL8Bfva+6n7c/s7+wb62Pqy+pL6dPpU+i/6B/nd+bT5i/lk+Tz5Evjm+Ln4i/hf+DX4EPfv99P3uPef94b3afdK9yj3Bvbk9sf2rfaV9n32YvZB9hv18fXE9Zn1cfVM9S31EvT+9O304PTU9Mb0tfSg9Ir0dvRm9Fn0TfQ+9Cj0CvPo88bzqvOX84zzhfN882zzVvM88yLzDvMA8vfy7/Lk8tXywvKu8pnyhvJ38mnyXfJT8kzySfJH8kjySPJJ8knyS/JO8lTyWfJb8lbyS/I68ifyFfII8f/x9/Hs8drxwfGh8YHxY/FM8T/xPPFD8VLxaPGE8aTxxvHp8gjyIvI18kDyRfJG8kLyPPI18ivyHvIM8fTx2PG68Z7xh/F48XHxcPFw8W7xafFg8VfxUvFS8VnxZ/F58YzxnfGs8bfxwfHO8d/x+PIc8kryf/K38u3zG/M881DzVvNS80nzP/M38zTzNvM+80rzWvNt84HzlPOm87fzx/PZ8+70CfQq9FH0evSk9M308vUU9Tf1W/WD9bH15fYd9ln2l/bX9xn3Xfeh9+T4H/hS+Hj4lvit+MX43/j++Rz5M/k9+Tb5I/kM+Pz4/vkW+UT5fvm8+fT6IfpD+mD6ffqd+sX69Pss+2z7svv//E/8nPzj/SD9Uf15/Z39wv3t/h7+Vv6R/s3/B/9A/3b/qf/X//8AIAA8AFQAbQCJAKoA0AD6ASYBUQF8AaYB0AH6AiQCTQJ1ApsCvwLgAv4DGQMyA0cDWQNpA3gDhQORA54DrQO+A9MD7QQKBCkESARlBH8ElwSsBMEE1gTsBQQFHQU2BU8FYwVyBXoFewV1BWsFXwVUBUsFQQU1BSYFEwT+BOwE3wTZBNwE5ATuBPgFAQUJBRIFHQUrBTsFTAVbBWgFdAWABY0FnQWwBcUF2wXxBgYGHAYxBkgGXwZ1BooGmwanBq4GrgapBp8GkgaCBnIGYgZVBk0GSgZOBlYGYQZsBnQGdwZ0Bm8GaQZmBmkGdAaGBp4GtwbPBuQG8wb7BvsG9AblBtEGvAaqBqIGpga2Bs8G6Ab3BvYG4Qa7BosGWwYzBhYGAAXoBcUFjgVBBOEEeAQRA7gDcQNAAyEDEQMKAwgDCQMKAwgDAALwAtcCuAKXAnwCbAJsAnwClwKzAsUCwQKgAmMCDAGnAT8A4wCcAG8AWgBYAF8AZQBlAF0AUABDADsAOgA+AEIAQAA1ACIADf/8//X/+gAHABYAIQAnACwANQBGAF4AdgCEAIAAagBJAC0AJQA6AGsArgD0ATEBXgF/AZwBvgHnAhMCOgJVAmICZQJoAnQCjwK1AuADCAMnAzwDTANcA28DhQObA64DuwPEA80D2APmA/UEAQQKBBAEFgQiBDUETgRpBIAEkQSbBKIErAS7BNAE5gT7BQkFEwUbBSYFNgVKBV8FcQV+BYcFkAWcBa0FxAXbBfAGAAYKBhAGFQYZBh0GHgYaBhIGBwX7BfEF6gXmBeUF5gXqBfAF+gYGBhMGHQYlBioGLAYsBiYGGAX8BdIFnAVgBScE9wTTBLcEmwR7BFQELAQLA/sEAwQhBFAEhQS5BOYFCQUkBTYFPAUyBRIE3ASRBDcD1QNzAxYCxAJ/Ak0CMQItAj8CYAKEAqMCtAK1AqsCnAKMAn4CcgJjAk8CNQIZAgAB8AHsAfMCAwIYAi4CQAJLAk0CRAI0AiECFAIUAiQCQQJiAngCdwJaAiQB4gGkAXkBZgFoAXQBfAF2AWABQAEeAQMA9ADvAO8A7gDnANgAwgCoAI0AcgBZAEAAKQAT//7/6P/Q/7H/iv9Z/yT+7f69/pb+fP5q/l3+Tv45/hv99f3I/ZX9Xf0f/Nr8j/w+++37oftf+yj6/vrb+r36nvp9+lj6MvoM+ej5yPmr+Y75cflS+TD5Dfjp+MT4oPh8+Fv4PPgh+Aj38ffc98b3sPeX93v3W/c09wX20PaY9l/2K/X+9dn1ufWa9Xj1UPUk9Pb0yvSk9Ib0bfRY9EH0KfQN8/Hz1fO986jzmPOM84LzefNv82HzT/M28xny+/Lg8svyvfK38rXysvKs8qHykPJ88mPySfIr8grx5/HC8Z3xe/Fb8T7xIfEE8OTwwvCd8HjwUvAs8AXv3u+374/vaO9B7xzu+e7X7rXulO5z7lHuLu4J7eTtwe2h7YXtb+1d7U/tQ+027SrtIO0Z7RXtFO0V7RXtE+0P7QrtBu0E7QXtBu0H7QftBe0E7QXtCe0P7RftHu0j7SXtJu0p7THtPu1R7Wbte+2O7Z/tre257cPty+3P7dDt0e3X7efuBO4t7l7uje6x7sXuyu7H7sXuz+7r7xjvUO+M78fv/fAx8GjwpfDn8S3xbvGo8dfx//Ij8knydPKi8tHy/fMk80TzYvOB86PzyvP19CL0UPR+9Kj0zfTq9Pz1AvUB9P71A/UY9UP1hfXZ9jb2lPbr9zn3fve/+AL4S/ib+PD5SPmf+fT6Sfqg+vz7XPvA/CH8efzC/Pv9JP1C/V79gf2z/fj+U/7D/0T/zwBcAOEBUwGqAeIB/QIFAgYCDAIeAj8CbAKfAtMDBgM7A3YDuQQFBFYEpgTwBTEFbAWlBd8GHQZgBqQG6AcrB3AHtwgDCFIIoAjqCSwJZQmZCc0KBgpHCo0K1wsgC2QLpAvhDB0MXAyeDOANIQ1eDZYNyA34DikOXQ6aDt8PLA9/D9MQIRBmEKAQzhD0ERURNRFYEXwRohHHEesSDRIvElESdBKZEr8S5hMOEzgTYxOPE7oT5BQMFDMUWhSDFK8U3RUOFT8VbxWeFcwV+hYoFlgWiBa4FugXFxdHF3gXqRfaGAcYLRhMGGMYdRiGGJkYrRjAGM8Y1hjTGMkYuxivGKYYpBinGKsYrRiqGKMYmBiLGH4YcRhjGFMYQhgwGCAYEhgHF/4X9hfuF+QX2xfUF9EX0RfUF9YX1hfQF8UXuRetF6YXphesF7gXxxfWF+MX6xfsF+YX2BfBF6MXgBdaFzUXFRb9FvAW7RbyFvwXCBcRFxMXCxb1FtIWpBZvFjsWDxXwFeIV4RXmFesV5RXSFbQVkRV2FWsVdxWWFcAV6xYLFhwWHxYcFhoWIRYvFj8WShZIFjYWFxXxFcwVrRWVFYQVcxVeFUEVGxTuFLoUgRRGFAoT0ROgE3kTXBNHEzcTJBMMEvAS0BKzEq8SmxKJEnYSYBJFEiYSBhHpEdERvhGsEZcRfhFgEUERJBENEPsQ7RDgENUQyRDBELwQvBC/EL8QtxClEIcQXxAxEAMP1w+vD4oPaA9HDyYPAg7bDrIOhg5bDjIODQ3tDdANtA2TDWsNPA0HDNEMngxwDEoMKQwKC+kLxgufC3YLTQsiCvgKywqaCmQKKAnlCZ4JVAkKCMQIhghRCCYIAwfnB88HuwerB6AHmwecB6MHqweyB7YHtge1B7MHswe0B7YHtwe1B7EHrAenB6QHoQedB5YHiAd0B1oHPAcaBvgG1gazBo8GbAZIBicGCQXwBd0F0QXLBcsF0QXcBeoF+QYIBhYGIAYnBisGLQYtBi0GLQYsBioGJQYcBg8F/QXnBdAFuQWkBZEFgQVyBWQFVwVKBT4FNAUqBSEFFgUIBPYE4gTNBLkEqASaBI8EgwR2BGUEUQQ6BCQEEAP8A+oD1wPDA7ADnwOSA4kDgAN3A2oDVwNBAyoDFwMIAvwC8QLjAs4CswKVAncCXgJLAjsCLAIZAgAB4QG/AZsBeAFVATIBDgDqAMQAoAB9AFsAOwAa//r/2//B/6z/mv+J/3X/XP8+/x//Av7s/tv+zf69/qf+jP5v/lj+Tf5O/lX+V/5G/hv91f15/Rb8t/xk/CH76fu3+4T7UPsb+ur6vvqa+nr6W/o4+hH55vm7+ZD5Z/k/+Rf46/i++I74X/gy+Ar35vfH96v3kvd592D3RPcl9wT24vbA9qH2hvZu9lj2QvYo9gn15vW/9Zf1cPVK9Sf1CfTv9Nv0y/S+9LD0oPSN9Hn0Z/RY9Ez0QfQz9B70AvPf87vzm/OC83DzYvNV80XzMfMc8wfy9vLp8t3y0PLB8q7ymfKF8nLyY/JW8kryP/I28i7yKfIn8ijyKfIs8jDyNvI/8knyUfJU8k/yQvIv8hnyBfH08ejx3vHS8cHxq/GP8XHxVPE68SfxHPEa8SLxNPFN8WzxjvGw8c/x6vH88gXyBPH68enx1PG+8anxlfF/8WTxRvEm8Qjw8fDl8OPw6fDy8Pnw+/D58Pbw9/D+8Q7xJPE+8VnxcvGI8ZvxrfHB8dfx8/IX8kPydPKo8tfy/vMX8yLzIvMb8xDzCPMD8wLzBfMM8xXzIfMw80LzVPNm83bzhvOY87Dz0PP59Cr0YfSZ9M71APUv9V31jvXE9gD2QfaE9sf3BvdB93n3rvfh+BH4Pvhm+Ij4p/jH+Ov5F/lI+Xj5nfmu+ar5k/l2+WD5Xvl3+an56Poq+mL6jfqr+sP63Pr8+yT7VPuJ+8P8APxB/IT8yP0H/T/9b/2Z/cL98P4m/mf+rv74/z//gf+9//MAIwBNAHAAjQCmALwA1gD2AR8BUAGGAb0B8QIgAkoCcAKUArgC3QMCAyYDSANkA3oDigOVA5wDowOrA7UDwgPRA+AD7wP+BA4EHwQzBEkEYgR7BJQErQTGBOAE+wUXBTUFUwVxBYoFnQWmBaQFlwWDBWsFVgVFBToFMwUsBSQFGgUPBQUE/wT+BQMFCQURBRgFHwUpBTUFRQVYBWoFewWJBZUFoAWsBboFyAXYBecF9gYEBhMGIwY1BkgGWwZtBnwGigaTBpgGmQaUBooGewZqBlgGSgZCBkIGSgZYBmcGdAZ7BnwGdQZsBmUGZAZsBn8Gmga7Bt0G/AcWBykHMwc0BysHGwcEBusG1QbHBscG1QbuBwsHIQcoBxoG+AbIBpQGZAY+BiEGBgXiBa4FZgUMBKkESgP3A7kDjwN3A2sDZQNgA1wDVANKAzsDJQMJAucCwgKfAoMCcgJvAnkCiwKgAq8CrgKZAmsCJQHOAW8BFQDLAJgAfgB5AIAAiQCMAIYAeABoAFsAVQBVAFcAVQBLADsAKAAaABcAHwAvAD8ASABJAEUARABNAGAAeACMAJAAggBmAEcAMgAyAEYAaACNAKwAxADbAPsBKQFkAaMB2AH6AgcCCAILAh8CSwKLAtIDEgNBA1wDagNzA4ADkwOqA8AD0QPcA+QD7AP3BAQEEAQYBB0EIAQnBDQESQRiBHoEjQSZBKEEqwS7BNAE6QUCBRYFJQUxBT0FSwVdBW4FfgWIBZAFmAWiBbMFyAXfBfMGAwYMBhIGFgYZBhsGGwYYBhEGCAX/BfkF9QXyBe8F7QXrBewF8wX/Bg4GHwYtBjUGNgYtBhkF+gXPBZsFYgUtBQEE4QTMBLwEqgSRBHIEVARABEAEVwSABLQE5gUQBS4FQQVMBVEFSwU0BQYEvwRgA/IDfwMUArgCcQJCAioCKQI7AlsCgQKkAr0CyALHAr4CsQKkApYChgJwAlECKwICAdoBtwGZAYQBdgF0AX0BkwGyAdMB7QH4AfAB2QG7AaMBmAGdAa0BvQHGAcABrQGSAXYBXgFLAToBJwESAPsA6ADeAOAA7QEAAREBGgEVAQMA5QDCAJwAeABXADkAHwAJ//T/4f/L/7H/kP9p/zv/Cf7Z/qz+hv5n/k3+OP4j/g799/3d/bz9kf1b/Rf8xvxt/BL7v/t5+0L7F/r1+tP6r/qG+l36OPob+gX59vnm+dL5tvmR+Wf5OfkM+N/4tPiI+F74NvgU9/f34PfM97f3nveA91z3NPcK9uD2ufaT9nL2VPY69iP2DPXw9c71o/Vw9Tv1CPTd9Lz0ovSN9Hf0X/RE9Cj0DvP58+jz2/PP88Lzs/Oh84vzcvNY8z7zJ/MU8wfy//L68vXy7PLd8snysPKV8nnyXvJC8ibyCvHt8dPxuvGj8Y3xdPFX8TTxC/Dg8LTwifBf8DjwEe/r78XvoO9971vvOu8a7vru2u647pbuc+5Q7i3uDO3u7dPtvO2p7ZjtiO147WftWO1L7UHtOu007S/tKu0k7R7tGe0W7RTtEe0N7QXs/ez17PHs8ez27P/tCO0R7RbtG+0g7SftM+1C7VPtZe127YXtku2e7ajtsO227bvtwO3I7dft8O4U7j7uae6O7qnuuu7D7s3u3e747x7vS+9776nv1vAD8DbwcPCw8PPxNPFt8Z3xxvHs8hPyPfJr8pnyxPLr8w7zLvNO83Dzl/PB8+70HfRO9H30qfTN9Ob08fTy9O/08PUB9Sb1Y/Wz9g/2bvbJ9xv3Zveq9+/4N/iF+Nr5M/mO+en6RPqe+vf7Ufuq/AD8TfyQ/MT86v0E/Rj9LP1I/XP9s/4N/oH/Dv+pAEgA2gFSAagB2QHtAfIB+AIJAioCWgKQAscC+wMsA2ADmwPgBCwEegTGBQwFTAWLBcoGDQZSBpYG1wcVB1MHlAfbCCoIewjLCRMJUQmHCbkJ7QomCmcKrQr1CzsLfgu/C/8MPwyADMAM/g06DXMNrA3mDiQOaA6yDwEPUA+cD+AQGRBGEGoQiBCmEMcQ7REZEUgRdhGjEc0R9RIcEkMSaxKSEroS4RMKEzQTYBOPE78T7hQbFEYUcRSbFMcU9RUkFVQVgxWxFd8WDBY7FmwWnhbSFwUXOBdrF5wXyxf3GB0YPRhWGGsYfBiLGJsYqRi0GLkYuBixGKUYmRiQGIwYjhiSGJYYlhiRGIcYexhtGF8YUxhHGDsYLRgfGBEYBRf6F/IX6hfiF9sX1RfSF9MX1hfaF90X2xfUF8gXvBe0F7MXuRfGF9UX4xftF/AX7hfoF+AX1BfFF68XkxdxF08XMBcbFxMXGBcmFzgXSBdQF08XQxctFwsW4BasFnIWOBYGFeIV0RXRFdkV3hXXFcEVoBWCFXMVgBWrFeoWLhZkFoIWhRZ0Fl0WTBZGFkkWTRZIFjYWFxXxFc8VtRWmFZoVixVxFUcVDhTLFIQUPhP8E8ATixNfEz0TJxMaExMTDRMEEvMS3hLGEqgSlBKEEnUSYxJKEisSBxHjEcIRphGPEXgRYBFGESgRCxDxENsQxxC2EKUQlBCFEHgQbhBnEGEQVxBHEC8QEA/qD8EPmA9xD04PMA8VDv0O5Q7KDqoOhQ5eDjcOFA34DeINzg22DZgNcA1BDQ8M3gyzDI4MbQxODCsMAwvWC6QLcAs8CwgK1gqlCnMKPwoJCc4JjwlMCQkIyAiNCFsIMggTB/wH6wfeB9UH0AfMB8oHxwfDB7sHsQemB5sHkgeLB4gHhweIB4sHkQeYB6EHqgevB7AHqQebB4UHaQdIBycHBAbjBsIGogaCBmIGRAYpBhMGAgX6BfgF/AYEBgsGEAYRBg8GCQYDBf8F/QYABgUGCwYQBhEGCwX9BekF0QW5BaQFlgWOBYwFiwWHBX8FcQVdBUYFLgUVBP4E5wTSBL0EqgSZBI0EhAR9BHQEaQRaBEYEMAQZBAQD8APdA8oDtwOlA5YDjAOIA4kDiwOJA4EDcANZAz8DJwMTAwMC8wLgAscCqQKIAmgCTgI5AigCFwIBAeUBxAGfAXoBVQEyAQ8A6gDEAJ0AdgBQACsACP/k/8H/oP+D/2v/WP9G/zT/Hv8F/ur+0v6//rD+ov6S/nr+XP49/iX+G/4f/i7+Ov43/hr93f2H/SH8uvxb/Ar7x/uO+1r7KPr3+sn6oPp6+lf6MvoL+eL5uPmQ+Wr5Rvki+Pz40Pig+G74PPgP9+f3xfeo9433c/dZ9z33Hvb99tr2tvaT9nP2V/ZA9i32G/YH9fD10/Wz9Y/1a/VG9SP1A/Tl9Mz0t/Sk9JT0hPRz9GP0U/RG9Dn0LfQe9Anz7fPL86jzhfNn80/zOvMo8xbzBfL08ufy3fLV8s3yw/K18qPyjvJ68mfyVvJG8jfyJ/IY8gryAPH68fnx+/IB8gryF/Im8jTyPvJA8jnyKfIT8f3x6fHZ8c3xxPG78a/xoPGM8XXxXPFD8SzxG/ET8RTxIPE08U/xbfGL8ajxwPHP8dLxx/Gu8YvxY/E+8SHxCvD58Ofw0vC58J/wivB+8HzwgvCK8JDwkfCP8I7wlPCj8L3w3/EE8SnxS/Fr8YfxovG98djx9fIX8j3yZ/KR8rfy1fLn8u3y6vLi8tvy1/LX8tny3PLg8uTy6fLy8v7zDfMd8y7zQvNa83vzp/Pd9B30Y/Sq9O/1LvVp9aD12PYT9lP2l/bc9x/3XPeP97n32ff0+A74J/hE+GT4ifi0+Ob5H/lb+ZX5xfnk+e355fnU+cf5yvnh+g36Rfp++rD62Pr3+xP7MvtZ+4f7uvvt/CH8VvyM/MT8/f00/WX9kP26/eb+Hf5g/rD/Bf9a/6j/6gAiAFMAfgCmAMoA7AEKAScBSAFuAZwB0QIIAj0CbAKRAq8CyQLhAv4DIANIA3IDmwO+A9cD5QPqA+oD6QPrA/ID/gQNBBwEKQQyBDoEQgRMBFoEbASCBJ0EugTZBPoFHQVABWQFhwWmBcAF0AXTBcgFsQWSBXEFUwU+BTAFKQUmBSMFIQUgBSIFKAUxBTkFPwVDBUUFSQVTBWMFeQWRBakFvQXNBdsF5wXzBf8GCwYUBhoGHgYiBikGMwZABk4GXAZpBnQGfAaDBocGiAaFBnwGbgZfBlEGSgZLBlYGaAZ8BowGkwaRBoYGdwZqBmcGcQaJBqwG1gcBByUHQQdSB1kHVwdOB0AHLgcbBwsHAQcBBw0HIwc9B1QHXQdTBzUHBQbMBpMGYQY5BhcF8gXDBYYFOwTpBJoEVgQkBAMD7wPgA9IDwgOvA5sDhQNtA1ADLgMFAtkCrwKKAnECZgJnAnICgwKSApoClgKAAlcCGgHPAX0BLADpALgAnQCWAJwApgCsAKoAoACRAIMAeABzAHEAbQBlAFgASwBAAD8ARgBSAF4AZABjAFwAWABcAGsAgACTAJsAlACAAGgAVgBRAFgAZwB0AHwAgQCNAKoA2gEbAV0BkQGrAa4BpQGoAccCCgJqAtUDMwN1A5QDmgOVA5MDnQOyA8sD4QPxA/oEAQQLBBcEJQQxBDgEPQRBBEkEWARrBIAEkwSgBKoEtATCBNYE7wUKBSIFNQVEBVEFXQVqBXcFggWLBZMFnAWqBb0F1AXqBf0GCAYLBgoGBwYEBgQGBQYHBgcGBQYDBgAF/QX3BfAF6AXhBd4F4gXtBfwGDAYWBhcGDAX1BdQFqwV+BVAFKAUIBPQE6wToBOME1wTDBKkElASMBJoEvATtBSEFSwVlBW0FaAVbBUYFKAT7BLoEYQP3A4UDFwK7AncCTgI+AkMCVwJ0ApQCsQLFAtAC0gLLAsECtgKrAp0CiwJyAlMCMQIPAe4BzQGrAYYBYAE8ASMBGgEiATYBTAFYAVIBOgEYAPcA5QDoAQEBKQFVAXsBkQGVAYgBbQFIAR4A9QDSALwAtAC9ANIA7gEHARcBGQEMAPMA0wCwAI0AbQBPADMAGQAA/+f/zv+1/5z/gv9m/0b/Iv76/tD+pP55/lH+LP4N/fL92/3F/az9jP1g/SX83PyJ/DP74/ue+2j7Pvsb+vn60vqp+oD6XvpH+jv6NPor+hn5+PnM+Zn5ZPky+QP41vio+Hv4T/gp+Az39vfl99L3uPeT92j3OfcO9uv20Pa+9rH2pfaY9of2cfZS9in19fW79X/1SPUa9Pj03/TK9LT0m/R/9GT0TvQ+9DX0LvQk9BTz/fPh88LzpfOM83jzafNe81bzTvNF8zjzJfMN8vDy0fKy8pXyevJh8kryM/Id8gjx9vHj8c/xt/GY8XLxSPEb8O7ww/Ca8HLwS/Ak8ADv3e+8753vfu9d7zrvFu7y7s/ur+6R7nXuW+5B7ifuDu317d3txe2u7Zjthe107WbtW+1R7UjtQe067TbtMu0w7SztJu0b7Qzs/Ozu7OXs4+zo7PPtAO0N7RbtHe0j7SntMe087UrtWe1o7Xbtg+2O7Zjtoe2p7bDtt+2+7crt3O327hjuP+5n7ovuqO6/7tPu5+8A7x/vRO9s75fvwu/v8B/wVPCN8MfxAPE18WTxjvG38d/yCvI28mPyjfK08tny/PMg80fzcPOc88vz/fQx9GX0lvS/9Nz07PTx9PD08vUA9R/1U/WZ9ez2R/ai9vr3TPeY9+L4Kvh1+MX5G/l3+dj6O/qd+vv7VPun+/L8Nvxw/KH8x/zj/Pb9A/0Q/ST9Rv2A/dn+VP7r/5MAPADSAUcBlAG9Ac4B2AHpAgoCPAJ3ArUC7wMmA1sDlAPTBBkEYQSpBO0FLgVwBbQF/AZGBo0G0AcLB0QHfge9CAUIUgigCOsJLQlnCZwJ0QoJCkUKhgrJCw4LUguWC9sMIgxpDLAM9Q02DXQNsA3tDi0OcA63Dv4PQg+BD7YP4hAFECUQRRBpEJMQwxD3ESoRWxGJEbUR4BIMEjkSZxKTEr0S5hMNEzUTYBOOE74T7xQfFE4UfBSqFNoVDBU+FW8VoBXOFfsWKBZWFocWuRbuFyQXWBeLF7oX5BgIGCgYRBhbGHAYgRiPGJkYnxifGJsYlRiNGIYYgRh+GH0Yfhh+GHwYdxhvGGQYWBhMGEAYNhgsGCMYGhgQGAcX/hf1F+0X5RfdF9UX0BfNF84X0RfVF9gX2BfTF80XxxfFF8sX1hflF/IX+xf9F/cX7hfiF9gXzxfFF7YXoBeEF2QXRxczFywXMhdBF1MXYhdrF24XbRdnF1sXRBccFuIWmhZNFgoV3BXIFcsV1xXdFdQVvBWeFY0VlhXBFgYWUxaTFrcWuhajFoEWZRZWFlQWVhZRFj0WHBX2FdMVuhWtFaIVkBVtFTYU7hSfFFAUCxPRE6ITehNYEzwTJhMXEw4TBhL8EuwS1xK/EpUSfhJtEmASUhI+EiER/BHSEakRhRFmEU0RNhEhEQoQ9BDeEMoQuBCmEJUQghBwEF4QThBAEDMQJhAWEAEP6A/JD6YPgQ9eDz4PJA8RDwIO9A7iDskOqA6BDlgOMQ4SDfoN5w3UDbsNmw10DUgNHAz1DNIMswyTDG8MQwwOC9ELkQtQCxIK2QqnCnkKTwolCfgJxQmKCUsJCQjKCJMIZQhBCCgIFggLCAMH/Qf4B/IH6gfeB84HuwelB5AHfAduB2UHZAdpB3UHhQeXB6oHugfFB8oHxwe8B6kHkAdyB1IHMQcTBvcG3AbCBqcGiwZuBlQGPgYwBikGKAYpBigGJAYbBg8GBAX7BfcF+gYABgkGEAYSBgsF+wXhBcEFoAWFBXQFbwV2BYMFkAWWBZEFgAVlBUUFJAUFBOgEzwS6BKcEmQSOBIYEfwR1BGcEVAQ8BCIECAPxA9wDygO5A6cDlQOFA3sDeQOAA40DmwOjA6ADkQN3A1gDOAMcAwIC6wLTArgCmgJ6AlsCQAIoAhIB+QHcAbkBkwFrAUYBIwECAOIAwACaAHIASQAg//j/0P+p/4P/Xv89/yH/Cv74/uf+1f7C/q7+m/6K/nz+bf5c/kT+J/4K/fP96f3s/fr+Bv4G/e79uP1o/Qf8n/w9++j7oPtk+zH7AfrT+qf6fPpT+ir6AfnY+a/5iflm+Ub5KPkI+OL4tfiC+E34Gffs98b3qPeO93X3W/c+9x32+/bW9rH2jPZp9kr2L/YY9gX18/Xg9cn1rvWQ9W/1TvUu9Q/08fTV9Lr0o/SN9Hv0a/Rd9E70QPQy9CP0E/P/8+jzzPOt84vza/NO8zTzH/MM8vvy7PLh8tny1PLR8s3yxvK68qryl/KD8m/yXPJH8jPyHfII8fXx5fHb8dbx1/Hf8ezx/fIP8h3yJPIh8hXyAPHp8dLxv/Gy8ajxovGc8Zbxj/GG8XnxaPFT8T3xKfEc8RfxHPEo8TrxTvFk8Xnxi/GU8ZDxfPFW8SXw8fDE8KbwmPCV8JTwj/CC8HDwXfBR8EzwTfBQ8FDwS/BF8EPwTPBh8ITwr/Dd8QvxNfFb8X7xn/G88dfx8fIM8inySfJq8ojyoPKu8rTys/Kx8q/ysfK28rvyv/LB8sHywvLE8sry1PLk8vnzFvM8823zqvPw9D70jvTf9Sz1c/W19fD2J/Zc9pL2yvcE9z33cfec97v3zffY9+H37/gF+CX4T/iA+LX47vkp+WT5nPnM+fH6CfoY+iT6M/pL+mz6lPq++ub7Cvsr+077dfui+9P8Bfw1/GT8k/zF/Pn9LP1d/Yf9rP3R/fz+Nv6A/tj/Nv+Q/98AHwBTAIAAqgDWAQMBLwFYAX8BpgHPAfsCKgJZAoMCpQK9As0C2QLnAv0DHgNIA3oDrAPZA/sEEAQYBBkEFwQYBB4EKQQ4BEYEUgRZBF4EYwRqBHUEhwSgBL4E4AUGBSwFUgV2BZgFtgXPBeEF6gXnBdgFwAWhBYMFaAVSBUMFNwUuBScFJQUqBTUFRwVZBWgFbwVwBW4FbwV5BY0FqQXIBeUF/QYPBh0GKgY3BkQGTgZTBlQGUQZNBkwGTwZVBl0GZAZrBnAGdgZ7Bn8GgAZ8BnQGZwZaBlIGUgZcBm8GhgabBqgGqgagBpAGgAZ4Bn0GlAa6BuoHHAdKB2wHgQeIB4UHegdrB1oHSwdABzoHPQdHB1gHbQd+B4cHgQdpB0AHCgbPBpUGXwYvBgAFzQWSBVAFCwTMBJgEdQRgBFIEQwQuBBED7wPNA64DlAN7A10DNgMFAs4CmAJtAlMCTAJWAmoCgAKSApcCjAJvAkACAwG9AXUBMwD9ANYAwAC4ALkAvgDBAL4AtgCqAJ0AkgCKAIQAgAB6AHAAZQBbAFQAUwBXAF4AYwBlAGYAaQBxAH8AjwCeAKMAnwCSAIQAfQB+AIkAlQCcAJ0AnACiALgA4gEZAU4BcAF4AWkBVQFVAXwB0gJNAtUDTAOeA8IDwwOyA6MDowO0A88D6gP/BAwEFQQeBCsEPAROBFsEZARoBGwEdASBBJEEogSxBLwExgTSBOME+QUSBSsFQQVTBWEFbAV3BYAFiQWRBZkFpQW0BckF3wX1BgUGDAYLBgMF+gXyBe0F7QXuBe8F7gXsBegF4wXdBdgF1AXUBdcF3gXnBe0F7QXjBc8FswWQBW0FTQUzBSAFFgUTBRcFHgUkBSIFFwUEBPAE5QTqBQQFLwViBY4FqQWsBZcFcAU+BQMEwgR3BCEDwANbAvsCqgJyAlQCTwJeAnkCmQK5AtMC5QLuAu8C6QLfAtMCxgK3AqQCjAJuAk4CMAIXAgMB8AHZAbkBjQFZASUA+ADZAMgAvgC0AKUAjgB0AF0AVABgAIEAtADwASwBXQF6AX4BagFCAQ4A2gCxAJoAlwCmAL4A1QDjAOMA1gDAAKUAigByAF0ASwA5ACYAEP/3/9v/vP+c/37/Yf9I/zD/GP79/t3+uP6O/mD+M/4H/d/9u/2c/YD9ZP1D/Rr85fyk/F38FfvT+5z7cPtL+yf7AvrZ+rL6kvp9+nH6a/ph+kz6Kfn6+cP5jvlc+S/5A/jX+Kj4e/hT+DX4H/gO9/r33fe194X3Vfcs9xD3Afb99vz2+vbx9uD2xfaf9m72M/Xz9bT1fPVQ9TD1GvUH9PD01fS39Jz0iPR/9H30e/R09GL0RfQi8//z4PPK87zzs/Or86LzlvOF82/zVfM38xby9PLV8rjyn/KJ8nXyY/JR8kDyL/Id8gfx7PHL8abxffFT8SrxAfDZ8K/whPBa8DLwD+/v79LvtO+U73DvSe8j7wHu5e7N7rjuo+6K7m7uTu4r7gjt5+3I7a7tmO2H7Xrtb+1m7V3tVe1O7UrtR+1E7UDtOO0q7RjtBezz7Ojs5Ozp7PTtA+0R7RztJO0p7S3tMu067UXtUu1g7W3teO2C7Yrtku2Z7Z/tpe2s7bTtwu3X7fbuHu5L7nnuou7E7t3u8e8D7xjvNe9Z74Lvr+/d8AzwO/Bq8JrwyvD58SfxVPF/8avx1vIB8izyVfJ/8qjy0fL78ybzUvOB87Pz6PQe9FX0h/Sx9ND04/Ts9O/09PUC9R/1S/WG9dD2IvZ79tX3LveC99H4G/hi+Kz4+/lU+bX6HfqG+uz7Svud++X8IvxV/IH8pvzE/Nr86vz0/P79D/0x/W79zf5R/vH/nwBHANYBQQGFAagBuwHNAeoCFwJRApMC1wMYA1cDlwPYBBsEXwShBOAFHgVeBaIF6wY3BoEGxgcDBzoHbwenB+UIKQhwCLcI+wk8CXkJtQnzCjEKcQqxCvELNAt5C8IMDwxdDKoM9A04DXYNsA3nDh8OWg6WDtMPDw9HD3oPqA/SD/sQJxBXEI0QxBD6ES0RXBGHEbER3RILEjsSbBKbEscS8BMYE0ATaxOYE8YT9hQmFFYUhxS6FO8VJRVbFY8VwRXwFh4WTBZ7FqwW4BcUF0oXfRetF9YX+hgXGDAYRxhcGG8YfxiKGI4YixiEGHsYcxhwGG8YcRhyGHEYbBhmGF0YVRhNGEUYPRg1GCsYIRgYGA8YCBgBF/wX9hfwF+oX4hfbF9QXzhfKF8kXyxfNF9AX0hfSF9IX0hfWF94X6hf2GAAYBBgAF/UX5hfVF8UXtxeqF5sXiRdyF1kXQRcxFykXKxc0F0AXTBdYF2YXdxeKF5kXnBeGF1IXAhajFkcWAhXdFdgV5hX0FfIV3BW7FZ8VmxW6FfcWQxaHFrIWvRauFpMWehZtFmoWaRZfFkcWIRX4FdQVvRWvFaQVjxVnFSkU3BSMFEMUCRPeE78TphOME3ETVhM9EygTFRMBEuoSzxKxEoUSaRJUEkUSNxImEg0R6xHCEZgRbxFMES8RGBEEEPIQ4hDREMIQtBClEJYQhRByEF4QSRA2ECQQExADD/EP2w/CD6UPhQ9kD0cPLw8eDxMPCg8ADu4O1A6xDooOYw5CDiYOEA37DeINww2dDXINRw0eDPsM2wy6DJUMaAwwC/ALqgtjCyAK5AqyCokKZApBChoJ7Qm4CXwJPQkACMkImgh0CFgIRAg2CCwIJgghCBwIFAgIB/YH3wfEB6cHjQd4B20Hawd1B4cHoAe5B9EH4gfsB+4H5wfYB8IHpweIB2gHSgcwBxsHCQb4BuUGzQawBpIGdgZgBlAGRwZABjkGMQYnBh0GGAYXBhoGIQYoBisGKQYdBgkF7AXIBaEFfAVfBU8FTgVZBWoFeQV/BXkFZQVJBSkFCwTxBNwEzAS/BLQEqQSdBI8EfgRoBE0ELQQMA+4D1APAA7EDpAOVA4YDdgNqA2YDbAN7A48DogOsA6kDlwN6A1cDMwMRAvMC1wK9AqECgwJlAkgCLAIRAfUB1gGzAYoBYAE2ARAA7QDNAK4AjQBoAD8AFP/o/7z/kf9o/z7/F/7z/tP+uv6n/pj+jP5//nP+Zf5X/kj+N/4j/gv98f3X/cP9uP24/b79w/29/aL9cP0m/M38bvwT+8L7fftE+xP65fq3+or6W/ou+gD51Pmr+YT5YflC+SX5CPjo+MH4k/hf+Cn39/fN96v3kPd592H3Rvcm9wL23Pa29pD2bfZM9iz2EPX19dz1xPWq9Y/1cvVU9Tb1GvUA9Oj00fS79KT0jvR69Gj0WfRM9D70L/Qe9Arz9PPb87/zovOD82XzSfMw8xvzC/L98vLy6PLg8try1fLQ8snyv/Ky8qHyj/J88mnyV/JF8jLyHvIJ8fbx5fHY8dDxz/HU8eDx7/H+8gjyCfH/8ezx1PG68aTxkvGF8XrxcfFq8WXxY/Fi8WDxWvFO8T7xLvEh8RrxGvEf8SbxL/E58UPxTfFR8UnxMPEE8Mzwk/Bm8E3wSPBT8GHwafBn8FvwTfBD8D/wP/BB8D7wN/Aw8C/wOfBS8HfwpfDV8QPxLvFW8Xrxm/G48dDx5fH58g3yJPI98lXyaPJ28n7ygvKF8ovykvKc8qXyrPKy8rTytfK28rnywPLO8ujzEfNI847z3PQw9IT01fUk9W/1tvX59jX2Z/aR9rb22Pb99yX3Tvdz95D3o/eu97j3yPfi+Aj4Nfhn+Jf4xvj3+Sz5afmq+ev6J/pX+nv6lvqr+sH62vr3+xf7Oftc+4H7p/vP+/j8IfxK/Hb8pvzb/RT9TP1+/ab9xf3j/gj+PP6C/tj/Nf+O/9sAHABRAIIAtADrASMBWwGPAb0B5gIOAjUCXgKFAqkCxQLYAuQC7AL3AwkDJQNMA3wDrwPfBAcEIQQvBDQEMwQ0BDkEQwRRBGEEbwR7BIQEjgSaBKsEwwTgBQMFKQVRBXcFmAW0BckF2QXiBeYF5AXcBc4FvAWpBZYFhgV3BWkFWQVIBToFMgU3BUcFYAV7BY8FmAWXBZIFkgWeBbcF2QX/BiAGOAZIBlQGXgZqBngGgwaKBowGigaFBoIGgAZ/Bn8GfgZ+Bn8GggaFBocGhQZ/BnMGZQZZBlIGVgZiBnYGjAafBqoGrAanBp4GmAaaBqoGyQbzByQHVgeCB6MHuAfAB74HtAemB5cHigeCB38HgweLB5YHnwekB6AHkgd3B1AHIAbpBq8GdAY2BfMFrAVgBRUE0wSgBIEEdQRzBHEEZgRLBCQD+APPA7EDnAOLA3IDTQMYAtgCmQJmAkcCPwJLAmQCfwKUApoCjAJqAjcB9wG0AXMBPQEUAPgA5wDdANYA0ADKAMIAuQCvAKQAmQCQAIoAhAB/AHkAcABlAFoAUQBNAE4AVABeAGkAdgCDAJEAngCmAKgApACdAJgAmQCiALEAwQDMANEA0wDZAOsBCgEvAU8BXAFSATcBHAEaAUMBnwIjArcDPQOfA9ID3QPSA8QDwgPQA+kEAwQYBCQEKwQzBEAEUwRnBHkEhASJBIsEjgSWBKQEtATEBNIE3QTnBPQFBQUaBTIFSAVdBW4FfAWHBZEFmgWiBaoFtAXABdAF4gX0BgIGCAYHBgAF9QXqBeAF2QXSBcwFxAW7BbMFrwWwBbkFxwXZBeoF9gX4BesF0AWoBXoFTAUnBQ8FBgUKBRYFKAU6BUsFVwVdBVwFVgVNBUgFTAVeBX0FpAXHBd0F2gW9BYYFOwTlBIkELAPPA3UDHwLUApkCcwJjAmgCfAKaArkC1wLwAwIDDQMQAwwDAwL3AukC2gLHAq8CkgJvAkwCKwISAf8B8QHhAcoBpwF5AUMBDADZAK0AiQBrAFAAOAAjABMACwAQACQASQB8ALgA9QEnAUMBQwEpAPwAyQCeAIUAgQCNAJ4AqgCqAJ4AiQByAF4AUABFADsAMAAhAA7/+f/g/8X/pv+E/2D/Pf8d/wL+6/7X/sH+qP6K/mT+Of4J/df9p/17/Vf9Ov0i/Qn86vzA/Ir8TPwN+9P7oft4+1P7LvsI+uL6wfqn+pb6ivp8+mf6Rvob+ev5ufmL+WD5NPkF+NP4o/h4+Ff4QPgu+Bj3+ffQ96D3cfdN9zf3MPcy9zX3M/co9xH28PbF9pD2VPYU9df1ovV79WD1TfU69SL1A/Th9ML0rvSm9Kb0pvSg9I30b/RN9Cz0E/QE8/zz9fPt89/zzPO085jzevNa8znzGPL58t7yx/K08qTylfKH8njyZ/JU8j3yIfIA8dzxtvGP8WjxQPEV8Ofwt/CH8FvwNvAX7/vv4O/B75/vee9W7zbvHO8H7vLu2u687pjub+5D7hjt8O3O7bPtn+2Q7Ybtf+147XDtaO1f7VjtU+1Q7UvtQ+047SjtFe0E7Pjs8uz07PvtBu0R7RrtIe0n7SvtMe047UHtTO1Y7WPta+1x7Xbte+1/7YXti+2S7Zvtqe3A7eHuDu5C7nnuq+7R7uru+O7/7wjvGO8y71fvg++y7+DwDPA28F/wi/C48OfxF/FG8XPxnvHI8fPyHvJL8nryqfLZ8wjzN/Nn85jzzPQD9Dn0bPSX9Lj0zvTc9OX08PUB9R31RfV59br2BvZb9rb3Evdt98L4D/hX+J345vk3+ZL59fpe+sX7J/t9+8f8A/wy/Fj8d/yR/Kj8u/zL/Nr87P0I/Tb9gP3s/nn/Hv/LAGwA8QFRAY0BrgHDAdsB/gIwAm8CtQL/A0kDkQPYBB0EXwSeBNkFEwVPBZAF1wYiBmwGswbzBy0HYweYB88ICghICIgIygkOCVQJmgnhCiYKaAqpCugLKgtwC7oMCAxXDKMM6Q0oDWANkw3EDfcOLQ5nDqMO4Q8dD1cPjQ/BD/UQKhBjEJ0Q1xEOEUARbRGXEcAR6xIYEkYSdBKgEsoS9BMeE0oTeBOnE9UUBBQzFGMUlhTNFQUVPhV1FakV2xYMFjwWbhaiFtYXDBdAF3MXoxfNF/AYDRgkGDYYRxhWGGUYcBh2GHUYbhhkGFsYVhhVGFgYWxhbGFUYTBhBGDcYMBgsGCoYJxghGBkYDxgFF/wX9hfxF+4X6xfnF+MX3xfbF9YX0hfOF8sXyhfMF84X0xfXF9wX4RflF+sX8Rf3F/sX+hfzF+QXzxe3F50XhhdzF2UXWhdQF0UXORcuFyYXIRchFycXMhdCF1oXeBeZF7MXvRerF3cXJRbBFmEWFxXxFewV/BYNFg0V9hXOFagVmBWoFdoWIBZmFpoWsxazFqUWlRaIFoAWdRZhFkEWGBXvFc4VuRWuFaMVjhVmFSwU5xSiFGcUOhQbFAQT7BPQE60TiBNjE0MTJRMJEusSyhKnEn0SXxJGEjMSIxITEf4R4hHAEZoRcxFPETARFRD+EOsQ2hDLEL4QsBCiEJMQgRBsEFYQPxApEBUQBA/1D+cP1w/ED6wPkA9yD1QPOg8lDxcPDg8FDvkO5w7PDrMOlQ55DmEOSg4yDhUN8Q3EDZMNYA0wDQcM4wzCDJ8MdgxCDAULwgt9CzsLAgrSCqoKhgpiCjsKDQnZCaIJaQkzCQII1wiyCJQIfAhqCF4IVghTCE8ISghBCDEIHAgBB+QHyQeyB6UHowesB8AH2Qf0CAoIFwgaCBIIAQfpB8sHqweKB2sHUAc8By8HJwcgBxUHAQblBsMGoAaBBmkGVwZKBkAGOQY0BjUGOwZGBlIGWgZbBlEGPgYiBgAF2gWzBYwFaAVLBToFNQU6BUYFUQVUBU0FPQUnBQ8E/ATtBOQE3ATUBMkEuQSlBIsEawRHBCAD+APVA7gDowOWA4wDgwN3A2oDXQNVA1cDYQNyA4QDkAORA4QDbANMAykDCQLtAtQCvgKnAo0CcQJSAjMCFQH2AdcBtgGQAWgBPQETAOoAxAChAH4AWgAzAAj/2v+r/3z/Tv8i/vf+zv6p/on+b/5c/k/+SP5D/j7+N/4u/iH+EP37/eP9yv20/aL9l/2T/ZL9jv1//WD9Lvzq/Jn8Q/vx+6f7afs0+wT61/qo+nb6Q/oQ+d75sfmI+WP5Qvkk+Qf46PjF+J34cPg/+A334Pe595n3f/dn9073MfcO9un2wvad9nr2WPY39hb19PXR9a/1jvVt9U71MPUT9Pj04vTP9L70rvSd9Iv0ePRm9Fb0SPQ79Cz0G/QF8+rzzfOt84zza/NM8y/zFvMD8vXy7PLm8uHy3fLX8tDyx/K98rHyo/KS8oDybvJd8k7yQfI18ijyG/IM8f3x7fHg8dfx0/HU8dzx5vHu8fDx6fHY8b/xpPGK8XXxZfFY8UvxQPE28TDxLvEx8TTxNPEv8SXxG/ES8Q7xDvEO8Q7xDvEO8RLxGPEd8RfxAvDZ8KLwafA78CHwHvAs8D7wS/BP8ErwQfA88D3wQPBE8EPwQPA98EDwTvBo8IzwtfDf8QfxLPFR8XPxk/Gv8cbx2PHo8ffyCPIb8i3yPfJK8lTyXfJl8m7yefKD8o/ynPKp8rXyv/LF8sjyzPLY8vTzJPNr88H0IPR99NP1HvVj9aX15/Yn9mL2kva09sr22fbq9wL3IPdC92P3f/eX96/3zff1+Cb4W/iO+Lv44/kL+Tv5ePnB+hD6WvqX+sD62vrp+vf7C/so+0z7c/uZ+7r71/vv/Ab8IPxA/Gv8ofzi/Sf9a/2l/dH98P4J/iX+Tf6G/s7/Hv9v/7n//AA6AHYAtgD4AToBdwGuAdwCBAIqAlECewKlAs0C8AMMAyEDMAM9A00DYwOCA6gD1AQABCcEQgRRBFUEUwRQBFIEWQRnBHkEjASeBK8EwQTWBO4FCwUuBVMFeQWdBbwF0wXgBeUF4wXdBdQFyQW/BbQFqgWiBZwFlwWSBYgFeQVmBVQFTAVRBWUFhAWjBbkFwgW+BbcFtgXDBeEGCQY0BlgGcAZ+BoUGigaSBpwGqAaxBrgGuwa8BrwGuga3BrMGrgapBqcGpgamBqMGmwaOBn0GbAZfBlgGWgZjBnEGgAaPBpwGpwawBrkGxAbTBukHBgcpB1IHfAekB8YH4AfxB/gH+AfxB+cH3gfWB9AHzgfMB8kHxQe9B7EHoQeKB2wHRQcVBtwGmQZPBfsFoQVEBOsEnwRoBEwERgRPBFkEVwRFBCQD+wPWA7oDpwOXA4EDXgMrAu8CtAKCAmICVgJaAmgCegKHAooCfgJgAjEB9QG2AXkBSAEjAQwA/ADwAOUA2QDNAMQAuwCzAKgAnACOAIIAeAByAG4AagBkAFwAVABPAE8AVgBjAHIAggCQAJwApQCrAK4ArwCvALAAswC7AMYA0gDdAOUA7QD3AQYBGwExAT8BPgEtAREA+AD3ARwBbgHnAnQC/gNxA8ED7gQCBAkEEAQcBCsEOgRFBEoETQRTBF0EbgSABJAEmgSdBJ0EnwSmBLQExgTaBOsE+AUCBQwFGAUpBTwFUQVlBXcFhwWVBaIFrQW3BcAFxgXNBdUF3gXpBfMF+gX7BfUF6gXdBc4FwQW0BagFngWVBZIFlwWlBb4F3AX6Bg8GFAYDBdwFogVfBR0E6QTJBMIE0ATsBQ4FLwVLBV8FbgV6BYUFkQWeBa0FvgXQBd8F5wXjBcwFoQVgBRAEtARUA/QDmgNJAwQCzQKnApUCkwKgArUCzQLkAvgDBwMSAxkDGwMZAxIDBgL3AuYC1QLBAqsCkAJwAk4CKwIKAe4B1gHAAakBjQFsAUUBGQDsAL8AlQBxAFQAOwAmABP////u/+X/6wAFADYAdgC5AO4BCgEGAOgAuwCRAHUAbABxAHsAgQB9AHEAYwBaAFgAWQBZAE8AOQAZ//L/zP+r/4//dP9Y/zj/Ff7w/s7+sf6b/on+ef5m/k3+LP4C/dD9mv1n/Tv9Gv0E/PX85PzK/KP8b/wz+/b7v/uR+2r7Rvsj+v762/q8+qP6kPp/+mz6Uvoy+gz54vm3+Yn5Wfkk+O34ufiM+Gv4VPhC+Cz4Dvfl97b3i/dq91f3UvdT91P3S/c59xz29vbI9pX2XfYk9e/1wvWh9Yv1ePVj9Uf1IfT59NT0u/Su9Kv0qPSg9I/0dvRc9Ef0OvQ29DT0MPQk9BDz9/PZ87vznPN881zzPfMg8wfy8/Lj8tbyyfK78qvymfKF8m7yU/I08hHx6/HF8Z3xc/FF8RXw4/Cy8IbwYvBD8CjwDe/v783vq++K723vVe897yPvA+7c7q/uf+5Q7iXuAO3g7cftte2n7Z/tmO2S7YrtgO117WrtYe1a7VXtTu1F7TjtKe0a7Q3tBO0A7QHtBO0K7RDtF+0e7SbtLe027T7tRu1O7VXtWu1d7WDtZO1o7W3tdO197Yntm+227dvuDO5F7oDutO7b7vDu9u7z7u/u8u8C7yDvSO9276Xv0e/68CTwT/B98K/w4vEU8UPxb/GY8cLx7/Ie8lDyhPK38ujzF/NF83TzpfPZ9A30QPRu9JT0svTI9Nv07PUC9R31QvVw9av18fZC9pv2+vdZ97X4Cvha+KT47fk4+Yn53/o7+pn69/tO+5z72/wL/Cz8QvxR/GD8cvyI/KL8v/zh/Q79Tf2m/h7+sv9ZAAMAnAEYAXEBqAHJAeIB/QIlAloCmwLjAy8DewPFBAsETQSLBMYFAAU7BXoFvQYEBkwGkwbXBxYHUgeLB8IH+QgxCGwIrAjwCToJhgnTCh0KYwqmCucLKwtyC7wMBwxQDJQM0Q0HDTgNaQ2bDdIODQ5ODpEO1Q8XD1UPjw/GD/wQNBBuEKkQ4hEZEUsReRGjEc0R9xIiEkwSdRKcEsMS7RMaE0sTfhOwE+EUDxQ+FHAUphTgFRoVUxWIFboV6hYbFlAWhxbAFvgXLhdgF44XtxfbF/kYEhgkGDIYPRhHGE8YVBhWGFQYThhHGEEYPRg9GDwYOhg0GCoYHxgVGA4YDBgNGA0YCxgGF/8X9hfvF+oX5xflF+MX4RfeF9wX2xfaF9kX1hfTF9EXzxfRF9cX4BfqF/QX+xf+F/8X/hf8F/gX8RfkF9EXtheWF3YXWhdJF0MXRxdPF1UXVRdMFz4XMBcoFysXOBdQF20XixehF6kXnBd2FzUW4BaEFjEV9hXcFd8V8hYFFggV9RXTFbAVnxWsFdYWFRZXFo0Wrha6FrcWqxacFosWcxZTFiwWAhXcFcEVsBWlFZoVhhVkFTYVAxTRFKYUhBRmFEgUJRP6E8oTmRNsE0QTIhMDEuQSwhKfEnYSWhJCEi0SHBILEfkR5BHJEasRiRFmEUQRJREJEPEQ3RDMELwQrRCdEIsQdxBgEEgQMBAaEAcP+A/tD+QP2g/MD7oPog+FD2cPSQ8vDxkPCQ78Du8O4g7SDsEOrw6eDo4OfA5nDkkOIQ3uDbQNeA0/DQ8M6AzIDKoMiAxcDCYL6QunC2gLMAsACtYKrwqHClwKLAn6CccJlglpCT8JGgj4CNsIwgiwCKUInwicCJkIkwiJCHoIZwhQCDgIIAgLB/wH9Qf4CAQIFwgqCDgIPQg3CCYIDQfuB8wHqgeKB24HWAdLB0UHRAdDBzsHKQcLBuQGuwaVBncGYAZQBkcGQgZEBk0GXQZwBoEGiAaBBmsGSQYgBfQFygWjBX8FXwVEBTEFKQUrBTQFPgVGBUYFPwUzBSYFGgUQBQYE+wTsBNYEugSaBHQESwQhA/cD0AOwA5gDiQN/A3YDbQNhA1QDSQNDA0YDTgNYA14DWgNKAzADEQLyAtkCxgK6ArACpgKXAoICZgJGAiQCAQHfAb0BmwF3AVEBKAD+ANMAqQCAAFgAMAAF/9f/pv9y/z7/DP7c/rH+if5l/kf+Lv4b/hD+C/4L/g3+D/4N/gb9+f3m/c/9uP2i/ZH9hv1//Xr9cv1g/UD9D/zO/IL8Mfvi+5r7Xvsp+vv6zPqb+mX6LPnz+b75j/lo+Ub5KPkL+Oz4yvil+H34Ufgl9/j3z/eq94r3bvdT9zf3GPb29tL2r/aM9mz2TPYq9gX13vW09Yv1ZPU/9R71APTl9M30ufSo9Jv0jvSB9HP0Y/RT9EP0NPQl9BLz/PPg88DznPN481PzMfMR8vby4PLR8sjyxPLD8sLyv/K58rHyp/Kd8pHyhPJ18mTyVPJG8jryMfIp8iHyF/IK8frx6/Hd8dTx0fHU8drx4vHl8eHx0fG48Zfxd/Fa8UXxN/Et8SXxHvEY8RXxFPEW8RfxE/EL8QDw9fDu8Ozw7PDr8Obw3/Da8Nzw5vDz8Pvw8/DY8Kzwd/BI8CjwHfAg8CzwNvA68DrwOfA68D3wQfBE8ETwQ/BE8E7wYfB98J/wwvDk8QbxJvFH8WjxhvGh8bfxyfHZ8ejx+PII8hfyJfIz8kHyT/Jc8mbybvJ18n/yjvKk8rzy0fLf8uTy5PLr8wXzOfOK8/D0XfTE9Rv1YfWb9dH2CPZA9nX2n/a79sn2z/bV9uL2+fcZ9zz3X/eC96r32PgQ+E/4j/jK+Pz5J/lR+YL5vvoF+k76kPrB+t767fr4+wn7J/tU+4n7vvvq/Aj8Gfwg/CX8MPxJ/HL8rvz3/Uf9lf3Z/g7+M/5O/mf+hf6u/uP/If9j/6j/7AAxAHcAvwEGAUgBgwG0Ad4CBAIrAlcChgK5AusDGQNAA18DdgOHA5YDpwO/A94EBQQvBFUEcQSABIMEfQR2BHMEeASFBJkErgTEBNoE8QUKBSgFSQVtBZIFtQXRBeQF7QXrBeIF1AXGBbkFrwWnBZ8FmQWVBZMFkwWSBY4FgwV1BWgFZAVvBYgFqwXNBeUF7AXmBdwF2AXkBgEGKwZYBn4GmQaoBq4Gsga1BrsGwgbJBtAG1wbfBuUG6QbqBugG5QbiBt8G3QbXBs0GvQaoBpMGgQZ1Bm4GbQZuBnEGdwaBBpEGqQbEBuEG/QcVBysHQgdbB3gHmQe8B90H+ggRCCAIKAgqCCgIJQghCBwIFQgKB/wH6gfWB8EHqweSB3QHTgcfBuYGpQZcBgoFrgVKBOQEhgQ8BA4D/gQGBBgEJwQoBBkD/gPgA8UDrwOaA4EDXwM0AwQC2AK1ApwCjAKCAnsCdQJuAmYCVwI/AhoB6AGtAXMBQAEaAQIA8wDqAOEA1wDPAMgAwQC6AK4AnACGAHEAXwBWAFQAVgBaAFwAXABdAGAAaAB0AIIAjgCYAKAApwCvALkAwwDMANIA1QDWANYA1gDYAN0A5QDwAP4BDQEaAR8BGwENAPkA6QDoAQEBPQGZAhACkgMSA4ID2QQYBD8EVgRiBGgEawRtBHAEdQR+BIoEmASkBK0ErwStBKoEqwSyBMEE1gTtBQIFEgUeBSgFMwVABU8FXwVvBX0FigWXBaQFsQW9BccFzgXSBdQF2AXdBeIF5QXjBdsFzQW9BawFoAWZBZcFmwWjBbAFwwXcBfcGEQYjBiQGDwXhBZ4FTQT6BLMEggRtBHQEkAS6BOgFEQU0BVIFbAWHBaUFwwXfBfQF/AX2Bd0FswV5BTME5ASUBEQD+AOzA3UDPwMTAvIC3gLXAt4C7QMAAxIDIAMpAywDLAMqAycDIQMYAwoC+ALjAs0CuAKkApECfQJlAkgCJwIEAd8BuwGZAXoBXQFBASUBBgDkAMAAnQB9AGMATQA5ACIABP/g/77/qP+r/8wACQBUAJwAzgDfANAArACDAGQAVQBTAFgAWgBYAFQAVQBfAHMAiACSAIYAYQAm/+D/nP9l/z7/I/8P/vj+3P67/pj+eP5f/kz+Pv4w/iD+B/3l/br9iP1V/Sf9A/zq/Nr8zfy7/J38cfw6+/77xPuS+2f7RPsi+wD63vq9+qD6iPp1+mT6Ufo7+h75/PnS+aL5bPky+Pj4w/iZ+Hv4ZvhV+ED4Ivf79873pPeF93L3avdn92H3Uvc49xX27Pa/9pD2YPYy9gj15fXK9bT1n/WE9WD1M/UE9Nr0u/So9J70l/SN9H70bfRg9Fn0W/Rh9Gb0YvRT9Dz0HvP+89/zwPOh84LzZPNK8zXzJvMb8w/zAfLv8trywvKq8pDydPJV8jHyC/Hi8bnxj/Fk8TjxDfDk8L7wnfB/8GHwQfAf7/vv2O+576DviO9w71HvK+7+7s3unu5z7k/uL+4U7f3t6e3Z7cztw+267bDtpe2X7Yntfe1y7WjtX+1U7UftOe0q7R3tE+0M7QjtB+0I7QvtEe0a7SPtLO007TrtP+1C7UTtSO1M7VLtWO1f7Wbtbe127YPtlu2y7dnuCu5C7nzur+7V7uru7u7o7t/u3e7o7wHvJ+9U74Lvru/X7//wKPBV8IfwvPDx8STxU/F/8anx0/IA8jHyY/KW8sfy9vMk81Hzf/Ov8+H0FPRE9HH0mfS79Nf08PUJ9SP1Q/Vr9Z713fYo9n322fc695v3+vhW+K34//lM+ZX53foo+nf6yvse+277svvk/AT8E/wZ/B78KPw9/Fr8fvyn/NT9DP1W/bv+Pv7a/4QALADCAToBkQHLAfECEQIzAl0CkgLPAxIDWAOeA+MEJgRmBKQE4QUeBVwFnQXgBiUGagavBvIHMwdyB64H6QgiCF4IngjkCS8JfQnLChYKXQqhCuQLKgtyC7sMAQxDDH0MsgzjDRUNSw2GDccODA5UDpwO4Q8iD14Plg/LEAAQNxBxEKsQ5REaEUsRdxGhEcoR9RIgEkoSchKZEsAS6xMbE04ThBO4E+kUGRRJFH4UtxTzFTAVaBWbFcoV+BYoFl4WmRbUFw0XPxdrF5EXsxfRF+wYAxgUGCEYKBgtGDAYMhgyGDIYMBguGCwYKRgmGB8YFhgLGAAX9xfzF/MX9Rf3F/cX8hfrF+QX4BfeF+AX4RfhF+AX3BfZF9gX2BfZF9oX2RfYF9cX2RfgF+wX/BgMGBoYIhgjGB8YFxgOGAIX9RfkF8wXrxeOF3AXWhdTF1sXcBeHF5cXmBeJF28XVRdGF0kXXBd5F5QXohebF30XSBcCFrIWYBYUFdcVsBWiFagVuxXNFdcV0xXGFboVuhXNFfMWJxZcFokWqBa3FroWsxakFo0WbhZHFhwV9BXRFbgVpxWZFYkVdBVZFTsVGxT8FN8UvxSbFG4UOhQAE8YTjhNeEzUTERLyEtMStBKVEmcSTxI5EiUSExIEEfQR5BHQEbcRmhF5EVYRNBEUEPkQ4hDOEL0QrBCaEIgQdBBfEEkQMxAgEA8QAQ/3D+8P5w/dD84Puw+iD4YPaQ9MDzAPFw8BDuwO2Q7IDrkOrQ6jDpoOkQ6DDmsORw4VDdgNlw1YDSMM+gzcDMQMqgyGDFgMHgveC58LZAswCwIK1wqqCnwKSwoaCewJwQmaCXYJVQk3CR8JDAkCCP0I/Aj6CPUI6wjbCMgIswifCIwIeghoCFgISghCCEAIQwhJCEwISQg9CCkIDwfxB9IHtQeaB4MHcQdnB2QHZAdjB1oHRQckBvkGzQakBoQGbQZfBlgGVwZcBmgGegaOBp4GowaYBnwGVAYlBfYFywWlBYQFZwVQBUEFPAVCBVAFYgVyBXsFfAV1BWkFWQVHBTIFGAT6BNYEsASHBF4ENQQOA+kDxwOrA5YDhgN7A3ADZANWA0gDPAM0AzEDLwMqAx4DCQLsAswCrwKZAo0CigKNAo8CjgKFAnMCWQI5AhUB8AHMAagBhQFhATwBEwDpALwAkABkADoAD//i/7L/fP9D/wn+0f6d/nH+Sv4q/g/9+P3n/dv91/3X/dz94v3n/ef94P3T/b/9qf2T/YD9dP1s/Wj9Yf1S/TX9CPzJ/H78LPvb+5D7UPsZ+un6uPqE+kv6DfnQ+Zj5aflE+Sf5Dfjy+NT4sPiJ+F/4NPgK9+H3u/eX93f3Wfc89yD3A/bk9sT2pfaF9mb2R/Yk9f711fWp9X71VPUu9Qv06vTM9LH0mvSH9Hn0b/Rl9Fv0T/RA9DD0HvQJ8/Hz1PO085Dza/NI8ybzBvLq8tLywPKz8q3yq/Kq8qjyo/Ka8pHyh/KA8nnycvJp8l3yT/JD8jnyMvIs8iTyGPII8fXx4vHU8c3xz/HZ8ebx8fH18e3x1/G18YvxYPE68R/xD/EJ8QnxDfER8RbxGfEY8RLxBvD18OPw1PDM8MnwyPDD8LjwqvCe8J7wq/DD8Nzw6vDl8Mvwo/B38FLwO/Aw8C3wLvAv8DHwM/A28DjwOfA38DTwMvA48EXwW/B38JbwtfDU8PTxFfE38VfxdPGL8Z/xsfHE8dbx6PH58gnyGvIt8kLyWPJq8nXyefJ58n7yjfKn8sny5/L68v7y+/L98xXzT/Oq9B30l/UG9V/1oPXP9fT2GPY79l32ePaJ9pH2lvad9qz2xPbj9wX3KfdQ9373tvf3+ED4ifjN+Qr5QPl1+a757fox+nL6p/rK+t/67Pr8+xv7TfuP+9f8GfxL/Gf8b/xr/Gb8afx7/KD81/0e/Wz9vP4G/kX+d/6d/r3+2v76/yH/T/+D/77//QBBAIcAzQEPAUsBfwGrAdMB+wInAlcCjALEAvoDKwNVA3YDjQOeA6oDuAPMA+sEFARCBG4EkQSlBKsEpwSgBJ0EogSwBMME2ATtBQIFGAUxBVAFcwWYBbwF2QXtBfQF8AXjBdEFvwWxBagFowWgBZsFlAWNBYcFhAWDBYEFfAV1BXAFcQWABZwFwgXnBgEGDAYJBgAF+wYDBhsGPgZmBooGpga6BsYGzQbSBtUG2AbaBt4G5gbwBvwHBwcPBxUHGQcbBxsHFwcOBv0G5gbNBrYGpgacBpYGkQaJBoEGfAaCBpUGtgbgBwsHMQdPB2UHdweKB6EHvQfaB/gIEQgmCDYIQwhNCFYIXQhgCF8IVghFCCwIDgfsB8kHpAd7B04HGwblBq4GeQZEBgkFwAVlBPoEigQlA9wDtwO0A8kD4wP2A/gD7APZA8QDsQOdA4UDZQM/AxkC+QLgAs8CvwKsApQCeAJeAkYCMAIXAfUBxwGQAVYBJAEBAOwA5ADgANwA1QDMAMEAtgCrAJsAhwBwAFgARQA8ADwAQwBNAFcAXgBjAGkAcgB9AIkAkwCaAKAApgCwAL0AzgDeAOsA8ADuAOgA3wDZANgA3ADlAO8A+gECAQUBAwD8APIA6QDmAPEBEAFIAZsCBQJ+AvgDZwPAA/8EJAQ3BEAESQRWBGsEhgShBLgEyQTRBNAEygTBBLkEtgS7BMgE3ATzBQoFHgUuBTwFSQVWBWMFbwV6BYIFiQWRBZoFpAWwBbsFwgXGBckFygXMBcwFygXEBbcFpwWXBY4FjQWYBa0FyQXoBgUGIAY0BkAGQAYxBg8F2QWQBTsE4gSQBFAEKQQeBC8EVASHBL8E9QUmBVAFdgWXBbMFyAXRBcoFrgV9BTcE4wSJBDAD4AOfA24DTgM5Ay0DJgMiAyADIwMpAzQDQANMA1UDWANYA1QDTwNIA0ADNAMkAw8C9QLZAr0CowKMAngCZAJPAjcCGgH3AdIBqgGDAV4BPgEgAQQA5gDHAKUAhABmAE0AOwAqABX/9//P/6P/f/9v/37/rv/1AEIAgQClAKgAkgBvAE8AOgAwACwAKgAnACYALQBDAGUAigCjAKEAfAA3/97/g/80/vn+0/66/qb+j/51/lf+PP4l/hT+B/36/ev91f24/ZT9av0+/RP87/zS/L38rfyb/IL8Xvwu+/f7vfuH+1j7MPsP+u/60fqz+pb6ffpn+lX6Rfoz+hv5/fnW+ab5b/k1+P74zvio+I74fPhs+Ff4OfgS9+f3v/eg94z3gfd59233Wfc79xX26va/9pb2cPZN9i32EfX49d71wfWd9XD1PfUL9N/0vfSn9Jn0jvSC9Hb0bPRn9Gv0dvSC9In0hvR49GH0RPQl9Afz6PPI86nzjfN282fzXfNW80vzO/Mj8wby5vLG8qbyhvJk8j7yFvHu8cbxofF+8V3xPPEc8P7w3/DA8J3wd/BO8CbwAu/l787vuu+j74XvX+8z7wXu2+637pnufu5l7kzuNO4d7gvt/e3x7ebt2u3L7bvtqu2a7Yntd+1l7VPtQe0y7SftIO0c7RrtGO0X7RjtGu0g7SftLu0z7TXtNe007TbtO+1E7VDtXO1n7W/tde167YPtku2r7c/t/u407mvune7F7t/u6u7q7uju6u727w/vNO9f74zvtO/Y7/nwGvBA8G7wovDb8RXxSvF58aTxzPH08h7yTPJ88q3y3vMO8z3za/OY88bz9vQn9Ff0hvSy9Nn0+fUU9S31R/Vn9ZH1x/YK9lb2rPcI92v30fg5+J74/PlQ+Zn52voZ+lr6o/rx+z/7hfu7+9377fvw+/D79fwD/Bv8O/xd/IT8svzu/UL9s/5B/ub/lQA/ANcBUwGyAfcCKQJRAnUCmwLFAvYDLQNpA6oD7gQyBHYEuQT6BToFegW7BfwGPwaCBsUHCAdLB4sHywgKCEsIkAjaCSYJdAnBCgoKUAqUCtkLIAtoC68L8QwsDGIMkwzHDP8NPg2FDc8OGg5jDqkO6Q8mD14Pkw/ID/4QNxByEK0Q5hEYEUURbRGUEbwR6RIXEkcSdRKiEs0S+xMrE14TkhPFE/YUJxRZFJAUzBUKFUcVfhWvFdwWCRY6FnEWrBbmFxwXShdvF48XqxfFF90X8hgCGAwYERgTGBMYEhgSGBMYFRgWGBYYExgMGAIX9hfrF+MX4RflF+sX8RfzF+8X5xffF9kX2BfbF98X4RfgF9wX1xfVF9YX2RfdF+AX4hfkF+kX8xgDGBcYLBg9GEgYShhEGDgYKRgZGAkX+RfnF9EXuRehF40XhReMF6IXwBfcF+sX5RfMF6cXhRdyF3QXiBehF64Xoxd5FzYW4xaMFjwV+RXDFZsVgBVxFW4VdhWEFZUVphW4FcsV4hX/FiIWRhZnFoQWmhapFrEWshaoFpMWdBZMFiEV+BXXFb0VpxWTFX0VZhVPFTkVJRURFPgU1BSlFGwULBPtE7ITfhNREykTBRLiEsASoBKCElASOBIiEg0R+xHsEd8R0hHDEbARlxF5EVgRNxEYEPwQ4xDNELoQpxCWEIYQdxBoEFgQSBA4ECcQGBALEAAP9g/sD+AP0Q+/D6kPkA91D1cPNw8XDvcO2g7ADqoOmg6PDokOhQ5/DnEOWA4vDfgNuA13DT4NEgzzDN0MyAysDIMMTgwQC9ELlAtcCyoK+QrJCpcKZgo3CgsJ4wm+CZ0JfwlmCVUJSwlKCU8JVAlVCU4JPQknCQ0I9gjiCNIIxAi0CKIIjQh6CGkIXQhVCE8IRgg6CCoIFQf/B+gH0Qe6B6UHkweHB4AHfQd5B24HWAc1BwsG3ga2BpgGhgZ8BnkGewaABooGmAamBrIGtAaoBo8GaQY9BhEF5wXDBaUFjQV9BXcFewWIBZwFsQXBBccFwgW0BZ0FggViBUAFGgTzBMoEoQR5BFQEMgQQA/ED0wO3A6ADjQN9A3ADYwNWA0gDOwMtAx8DDgL4At4CwAKhAocCdAJrAmsCcAJ2AngCcwJnAlQCOwIdAfwB2QG1AZEBbgFJASIA+QDNAKAAdABJAB//9v/J/5j/YP8j/uP+pv5v/kD+Gv38/eT90f3B/bb9rv2r/a39sv25/b39vP21/ab9kf16/WX9Vv1O/Uv9Sf0//Sn9APzF/Hr8JvvR+4L7PfsC+s76m/pl+in56fmq+XH5Q/kh+Qj48/jb+L34mPht+EH4Fffs98f3pPeE92X3SPcs9xL29/bc9r/2ofaC9mP2Q/Yh9f311fWs9YH1V/Uu9QX03vS49Jb0ePRi9FP0S/RF9D/0NvQp9Bf0AfPn88nzp/OE82LzQfMk8wny8fLb8sjyuPKs8qbypPKh8pzyk/KH8nrycPJq8mfyZPJd8lPyR/I88jTyL/Is8ibyGvII8fHx3fHP8czx1PHl8fnyCvIS8gzx9vHR8aHxbfE+8RnxAvD58PvxA/EP8RnxHvEd8RPxAvDu8Nzw0fDN8M7wzfDE8LHwlvB/8HTwfPCW8Ljw1fDk8N7wxvCl8ILwZPBN8D3wMfAq8CbwJPAk8CPwIfAc8BnwG/Aj8DLwRvBd8HXwj/Ct8NDw9fEa8TrxU/Fn8Xjxi/Gi8brx0fHm8fnyDvIo8kbyZfJ+8ozyjvKL8o7ynvK88uLzA/MV8xbzDvMQ8y7zcPPX9FL0z/U89Y31wvXg9fL1/vYI9g/2FPYZ9iD2LPZC9l/2gvam9sr27vcV90T3ffe/+Af4T/iU+NT5EflR+ZX53fon+mr6o/rN+u37Cfsr+1r7mfvi/Cv8a/yY/LD8tvyy/K38r/y+/Nv9B/0//YD9x/4R/lf+mP7Q/v//Jv9I/2n/jv+4/+gAHgBZAJYA0wENAUQBdgGlAdMCAgI0AmkCoALYAwwDOwNiA4EDlQOiA6sDtQPHA+YEEQRDBHYEoQS9BMkEzATKBMwE1QTlBPgFCgUbBSsFPAVSBW4FjwWzBdMF7AX5BfoF7wXcBcgFtgWrBacFpgWlBaAFlgWJBX8FeQV4BXsFfQV8BXsFfgWKBaMFxQXqBgoGHgYnBigGKQYxBkIGWgZ2BpEGqQa8Bs0G2gbkBusG7gbvBvMG+gcGBxQHIwcwBzsHRAdKB00HSwdABywHEwb5BuMG1QbOBscGvQavBp4GkwaVBqoGzwcABzEHWwd7B5IHpge5B9AH6ggECB4INAhJCF0IcQiECJYIogimCKAIjwh0CFEIKgf/B9AHmwddBxkG0AaMBlIGKAYHBeQFsAVhBPUEeQQCA6YDdANuA4UDpgO/A8YDvwOxA6YDoAOcA5EDegNYAzEDDALvAtwCzAK6AqECgwJjAkMCIwIAAdYBogFpATIBCADwAOgA6wDuAOoA2wDDAKkAkAB8AGsAXQBPAEIAOAA0ADYAPABDAEkATgBRAFcAXwBrAHgAhgCRAJoAogCqALUAwwDTAOEA7QD0APYA9ADwAO0A7ADvAPMA+AD9AQABAQEAAPwA9wDyAPEA+AEPATsBfwHXAjkCmQLsAyoDVANzA48DswPjBBwEVwSNBLUEzgTYBNgE0gTLBMYExATGBM4E2wTsBQAFFAUpBTwFTgVfBW4FewWFBYsFjwWTBZgFnwWnBa4FtAW3BbkFuQW6BbkFtQWuBaQFmgWWBZwFrwXNBfQGHQZABlsGaAZnBlgGOgYOBdQFjQU+BOwEngRbBCoEEAQPBCcEVASPBNEFEgVKBXUFjgWWBYoFbQVABQMEuQRlBA0DtwNpAykC/QLmAuIC7gMDAxsDMgNEA1IDWwNhA2YDagNuA3ADcANvA20DaQNiA1cDSAMzAxkC/ALcAr0CnwKFAm0CVwJAAiYCCQHoAcMBnQF3AVMBMgETAPMA0wCvAIsAZgBFACkAFQAE//L/2f+2/4r/Xf88/zT/S/+B/8kAEgBLAGkAagBWADkAHQAJ//v/8P/m/97/3//vAA0ANABYAGcAVwAl/9f/ff8l/tr+ov55/ln+Pv4j/gv99v3n/dz90/3I/bf9of2E/WT9Qv0f/P383Py+/KP8jPx3/GD8Qvwc++z7tvt9+0n7HPr3+tn6vvql+ov6cvpa+kX6Mfoe+gf56vnF+Zj5Zvkz+QT43Pi9+Kf4lfiD+G34T/gs+AX34ffE96/3ofeU94P3a/dK9yP2+vbS9q/2kfZ29lz2QfYk9gP12/Wt9Xv1R/UW9Oz0zPS29KX0mPSL9H/0d/R29Hz0h/ST9Jr0mfSO9Hz0ZfRL9C/0EfPx89HztvOh85XzjvOJ837zbPNR8zDzDPLn8sPynvJ48lHyK/IH8efxyvGw8ZbxevFd8T3xHPD68NTwrPCC8FrwN/Ab8ATv8e/b78Dvne9371DvLO8O7vPu2u7A7qTuh+5s7lXuQu4z7ibuGO4I7fXt4O3H7a3tke117VvtRu047THtMe007TbtN+017TPtMe0x7TPtNu037TbtMu0v7TDtNu1E7VXtaO137YDtg+2E7YftkO2l7cXt7+4i7lfuiu617tXu6u717vvvBO8T7yzvUO9576Lvx+/m8ADwGvA58GLwlfDP8QvxRfF48aTxy/Hx8hfyQfJu8p/y0vME8zXzZPOR873z6vQY9Ej0evSs9Nn1APUf9Tj1T/Vp9Yr1t/Xv9jL2f/bV9zX3nfgK+Hj43/k6+Yf5yPoC+jz6ffrE+wz7UfuI+7D7x/vS+9j73/vq+/r8Dvwk/D38XvyN/NH9MP2s/kP+7v+gAE8A7wF3AeMCMwJqAo4CpwK9AtYC+QMnA2IDpgPvBDoEhATLBRAFUwWWBdgGGwZdBp8G4QciB2IHowfmCCwIdQjDCRIJYAmsCfQKOAp8CsELCAtQC5YL1gwQDEUMeQyyDPMNOw2HDdQOHg5jDqMO3w8ZD1IPiQ/BD/oQNRBwEKoQ4RESET0RYxGJEbIR4RIUEksSgBKzEuMTEhNBE3ITpBPWFAcUOhRuFKcU4hUfFVkVjhW/Fe0WHhZSFosWxhb/FzEXXBd/F5sXtBfKF94X7Rf4F/4YABf/F/4X/Bf6F/oX+hf5F/cX8xfsF+IX2BfRF9AX1BfeF+gX8BfxF+0X5hfgF9wX3BfeF94X2xfVF9AXzRfQF9gX4xfsF/QX+hgCGBAYJhhAGFsYbxh5GHQYZRhOGDUYHhgKF/oX7BffF9EXxRe6F7UXuhfKF+QYAhgbGCYYHhgEF+EXwRevF64Xtxe9F7EXiRdGFvAWlxZIFgwV4RXCFaYVihVvFVsVUxVaFXEVlBW8FeYWDRYuFkoWYBZyFoIWkBafFq0WtBayFqEWgxZaFi4WBRXjFcYVrhWWFX0VZBVNFTkVJxUSFPMUyRSRFFIUEBPUE6ATdBNMEyYS/xLWEq8SixJrEj0SIRIFEesR1BHCEbQRqhGeEY8RexFiEUYRKhEPEPYQ3hDGELAQmxCJEHoQcBBoEGAQVRBIEDgQJxAWEAgP/A/yD+gP3Q/RD8EPrA+TD3QPUA8pDwEO2w64DpoOgw5zDmkOZQ5jDl4OUA40DggNzw2QDVQNIw0ADOcM0Qy4DJUMZwwwC/ULuwuFC1ALHAroCrMKfwpPCiQJ/gnbCbwJoQmMCX4Jegl9CYUJjAmNCYQJcglZCT4JJAkPCP8I8AjgCMwItQicCIQIcAhhCFYITQhFCDsILggfCA4H+QfhB8kHsQeeB5EHiQeCB3gHZAdHByAG9wbTBrgGpwahBqEGpQaqBrAGuAa/BsQGwwa4BqIGhAZfBjkGFQX1BdwFzAXEBcUFzwXeBe4F+QX7BfAF2wW8BZcFcQVKBSQE/wTaBLUEkgRxBFIENAQWA/gD2QO8A6ADiAN1A2YDWwNRA0cDOQMoAxEC9QLWArYCmQKDAnUCcAJxAnQCdgJxAmYCVQJAAicCDQHxAdQBtQGUAXIBTwErAQQA2gCuAIEAVQAsAAX/3/+1/4b/UP8U/tX+lv5d/iv+A/3j/cr9t/2o/Zv9kf2J/YX9hf2J/Y79kv2P/YT9cf1Z/UP9Mv0q/Sn9K/0n/RX88Py3/G38GPvC+3H7KPrq+rL6fPpE+gj5yfmL+VX5KvkL+PT44PjI+Kj4gPhS+CP3+PfT97L3lfd59133QPck9wn27vbS9rb2l/Z49lj2OPYX9fX10vWr9YP1WPUs9P/00fSl9H30W/RC9DH0KPQi9Bz0FPQG8/Pz2vO885vzePNW8zbzG/MG8vTy5PLT8sLysvKl8p3ymfKV8pDyhvJ58mvyX/JY8lTyUPJJ8j7yMPIk8hzyG/Ib8hnyEfIB8e3x2vHP8c7x2PHq8f7yEPIb8hvyDfHx8cnxmfFp8T7xHvEL8QXxB/EO8RXxGfEX8Q/xA/D38PDw8fD58QLxBfD88OPwwPCc8ITwfvCK8KPwvfDN8NDwxfCx8JrwgvBr8FXwQfAw8CHwFvAN8AbwAe//8AHwCfAW8CXwNPBC8FDwY/B/8KPwy/Dw8Q7xI/E08UbxX/F+8Z/xvfHV8eryAPIe8kLyaPKH8pjynfKe8qfyvvLj8wrzJ/Mw8ynzH/Mm807znfQI9H306PU79XL1kPWg9an1rfWu9az1q/Wv9b713PYG9jf2aPaW9r325PcN9z73d/e19/T4L/hn+J741/kX+WD5sfoF+lb6ofri+xv7T/uD+7j78Pwp/F78ifyo/Lv8xPzJ/ND82/zt/Qf9KP1Q/YL9vv4C/kz+lv7b/xf/SP9w/5T/t//dAAgANwBqAJ4A0gEIAT0BdAGrAeICGAJPAoYCvQL0AyoDXQOLA68DyQPaA+MD7AP7BBQEOQRmBJUEvgTbBOsE8gT3BP4FCgUbBS4FPgVLBVYFYwVzBYkFowW/BdkF6wX1BfUF7AXdBc0FvwW1BbAFrgWqBaEFlQWHBXwFeQV+BYgFkwWZBZsFnAWiBbAFyAXnBgcGJAY6BkwGXQZuBoAGkgaiBrAGuwbGBtMG4QbuBvkHAgcJBxAHGwcoBzcHRQdRB1oHYgdoB2wHawdjB1IHOwclBxMHBwcABvgG7AbaBsYGuga8BtAG9gcmB1YHgQeiB7sH0QfmB/0IFggvCEoIaAiICKsIzgjqCPwI/gjvCNIIrQiECFwINwgRB+YHrQdkBwwGrAZPBgEFxwWdBXYFPgTrBHsD/gOMAz0DIQMyA18DjgOpA6oDlgN+A3ADcQN7A4QDfgNlAzwDDgLlAscCswKlApcChAJsAk4CKAH5AcEBgwFGARUA9wDwAPgBBQELAQEA5AC8AJEAbABRAEIAOwA3ADUAMgAvACwAKQAmACMAIAAfACEAKQA2AEkAXwB1AIoAmgClAKwAsgC5AMUA1QDoAPoBCAEQAREBDwELAQgBBwEJAQ0BEQEUARUBFAEQAQsBCQEOASABPwFsAaAB1QIEAiwCTwJ2AqgC6QM4A40D3gQhBFIEcwSIBJgEqAS4BMcE0wTbBN8E5ATsBPgFCQUdBTIFRwVbBW0FfAWJBZMFmwWiBagFrQWzBbcFugW8Bb0FvgW/Bb8FvgW9Bb4FxAXSBesGDgY1BlkGdAaBBn0GagZMBiUF9wXEBYwFUQUVBNwEqAR+BGMEWARiBH8ErgToBSYFXQWDBZAFfwVQBQcEqwRGA+ADgAMsAukCtwKZAo0CkAKiAr0C3wMCAyIDPgNTA2EDaQNtA24DbgNuA24DbQNsA2kDYwNaA0wDOgMjAwkC6wLMAq4CkQJ4AmICTQI3Ah4B/wHcAbQBjQFmAUIBIQECAOMAxACiAH8AWwA4ABn//v/p/9X/vf+d/3D/O/8H/uL+2v73/zb/iP/bABoAOQA5ACIAAv/j/8z/uv+r/5v/jf+H/43/of+8/9T/3P/J/5z/Wf8N/sL+f/5H/hn98v3T/br9qf2g/Z39mf2R/YL9a/1P/TL9F/z+/OX8y/yv/JH8c/xY/D78IvwD+9v7q/t2+0D7EPro+sj6r/qY+oH6aPpP+jf6IPoJ+fD50fmt+YT5Wfkv+Qr46/jS+L74q/iW+H/4ZPhH+Cn4Dvf29+L30fe+96f3ifdm9z73Fvby9tP2ufah9of2aPZE9hn16fW39YX1VvUr9Qf06vTT9L/0r/Sh9JX0jfSK9Iz0k/Sa9J/0n/SZ9I70fvRp9FH0NfQX8/nz3/PL877ztfOs85/zjPNz81XzNPMR8u3yx/Kh8nzyXPJB8izyGfIF8evxyvGk8XzxVPEu8Qnw5fDA8J3we/Bd8EPwK/AR7/Xv1u+175Xvee9f70fvL+8U7vbu1+667p/uiO517mPuUe497ibuDO3t7cvtp+2E7WftU+1I7UjtTu1W7VztXe1a7VPtTe1K7UntSe1J7UbtQe087TrtQO1N7WDtdu2I7ZPtmO2Y7Zntn+2w7cvt8e4e7k/ufu6o7sru4u7x7vvvBO8S7yjvSO9u75bvve/e7/vwGPA58GLwk/DL8QXxPfFv8Z3xxvHu8hfyQfJu8pzyzfL+8y/zYPOP873z6vQX9Eb0ePSq9Nz1CPUt9Ur1YfV49ZP1t/Xm9iD2Zva39xP3evfo+Ff4wfkf+W75r/no+h/6Wvqa+tv7GvtR+337nvu4+8z73fvt+/v8CPwV/Cb8Pvxi/Jn85f1L/cr+Yf8L/74AcQEXAaUCEwJgAowCoAKnAq0CvQLdAxADUwOhA/MERQSTBN4FJwVvBbYF/AZBBoQGxAcCBz8HfwfBCAkIVQilCPYJRgmSCdgKHApeCqIK6AswC3YLuAv1DC8MaQyoDO4NOg2HDdEOFg5WDpIOzQ8JD0YPgw+9D/YQLRBjEJoQzxECETERXBGHEbQR5hIbElMSixK/EvATHxNOE34TrxPhFBUUShSBFLoU9BUtFWQVlxXKFfwWMxZsFqgW4xcaF0oXcheTF68XxRfXF+MX6xfuF+8X8BfwF/AX7xftF+gX4hfcF9cX0RfLF8UXvxe9F78XxhfPF9kX4RfjF+MX4BfeF94X3hfcF9cXzxfGF8MXxxfTF+UX9xgHGBMYHhguGEUYZBiGGKEYrRimGIsYZBg6GBUX+RfoF98X2hfXF9UX0hfRF9MX2hfpF/0YFRgqGDcYNxgrGBcYAxfzF+kX3xfLF6QXZxcZFsYWexZDFh8WCBX0FdkVthWQFXEVYRVnFYAVpxXUFf8WJBZCFlkWahZ5FocWlRalFrMWuxa4FqcWhxZeFjIWCRXnFcwVtRWfFYcVbxVYFUIVKxUQFOwUvRSEFEYUCRPRE6ATdRNMEyMS+BLMEqMSfRJcEjwSFxHyEc0RrRGUEYIRdRFoEVoRSRE0ER8RChD3EOMQzhC3EJ8QiBB1EGcQXxBaEFYQThBDEDQQIxAUEAgP/g/3D/AP6A/eD9APvQ+kD4QPXg80DwgO3g62DpMOdQ5dDkwOQQ47DjcOMA4fDgAN0w2cDWMNMA0IDOkM0Ay2DJUMbQw/DA4L3AurC3gLQwsMCtQKngptCkIKHgn/CeMJyQm0CaQJnAmZCZoJnAmZCZEJgQltCVUJPgkoCRUJAwjxCN4IyAixCJoIhwh5CG8IaQhkCF8IVghKCDkIIggGB+gHygexB54HkQeJB4AHcQdaBzsHGAb3Bt0GzQbFBsMGxQbIBssGzgbPBs4GyQa9BqsGkwZ3BlkGPAYjBhAGBAX/BgIGCQYRBhQGDgX9BeEFvQWTBWgFPwUaBPkE2wS+BKIEhARnBEgEKgQLA+wDzAOsA44DcwNcA0sDPwM2Ay4DIwMTAv0C4QLDAqgCkgKFAoECggKFAoQCfAJrAlMCOAIbAf0B4QHEAaYBhwFnAUcBJgEFAOAAuACNAGEANgAO/+n/x/+i/3n/Sf8T/tr+n/5n/jP+Bf3e/b/9p/2T/YP9df1p/WD9W/1b/V/9Y/1i/Vj9Rv0u/Rf9B/0C/Qb9DP0M/Pz81/yd/FP8APus+1z7E/rR+pX6W/oi+ej5rvl4+Un5I/kG+O741fi3+JH4Y/gz+AT33Pe896L3ivdy91b3N/cX9vj22va99p/2gfZi9kP2JPYF9eb1xfWh9Xr1UPUk9Pb0yfSe9HX0UvQ19B70DfP/8/Pz5fPV88HzqvOP83DzT/Mu8xHy+fLo8tzy0fLE8rPyofKQ8oTyffJ58nXybvJl8lryUfJM8knyRvI/8jLyI/IU8gryBvIF8gPx/fHx8ePx1vHP8dDx2PHj8fDx/PIH8g7yDvIF8fHx0fGr8YLxXvFC8TDxJfEh8R/xHfEa8RbxEPEN8Q/xGPEl8TPxO/E28SLxAvDg8MLwsPCr8K3wsfCx8KrwofCW8I7wiPCA8HbwZvBT8D7wKfAW8Abv+u/17/jwAvAQ8B7wKPAv8DfwRvBf8ILwp/DI8ODw8fEC8RrxPvFp8ZPxtvHO8eDx9fIT8jvyZfKH8pzyp/Kx8sby6fMU8zrzTfNI8zbzKvM5823zwvQl9ID0wfTm9Pb1APUQ9Sn1RvVi9Xf1ivWg9cH17/Yo9mL2mPbG9u73F/dH93/3u/f3+Cz4WPh++KT40fkK+VD5oPn3+lH6qfr9+0r7jfvG+/T8Gfw3/E/8ZPx3/In8m/yw/Mf84vz//R39Pv1h/Yv9vv37/kH+iv7R/xD/RP9v/5f/v//qABkASQB6AKoA2gENAUMBfAG2Ae4CIwJVAoYCuwL1AzQDdQO0A+sEFwQ2BEwEWwRqBHwElQS0BNME7wUDBRAFFwUdBSYFMwVEBVcFaAV1BYAFigWWBaMFsQXABc4F2QXhBeUF5AXfBdcFzgXFBb4FtwWuBaMFlgWKBYMFhQWPBaEFswXABccFyAXJBc0F2AXrBgMGHgY7BlkGeAaYBrQGygbYBt8G4QbiBuYG7gb4BwQHEAcbBygHNwdGB1QHXgdlB2oHbQdwB3QHdQdyB2kHWgdLBz8HNgcwBygHGwcKBvkG7gbxBwQHJgdSB4AHqQfMB+gH/QgQCCIINghQCHMIoQjYCRAJQQleCWEJRwkVCNcImghnCEUIMQggCAgH3AeTBy0GsgYwBbMFRgTmBI0ELgPDA08C4gKUAnkCmALmA0cDmwPKA8wDqgN6A1IDPwNBA0wDUQNGAyoDAwLZArUCmgKIAnoCbAJaAj8CGQHmAakBaQEvAQYA9AD2AQUBEwEVAQUA5AC5AI8AawBRAEAANAAoABsADP/8/+3/3//V/87/y//M/8//1//l//kAFQA4AF0AfgCYAKgArwCyALcAxADZAPMBDAEfASgBKAEjARwBGQEbASEBKQExATcBOgE7ATwBPwFGAVEBYAFwAX8BiwGVAaEBtQHZAg8CVwKpAvoDQQN5A6MDxwPsBBkETgSGBLkE3wT2BQAFAQUCBQYFEQUiBTQFRwVZBWkFeQWHBZUFoQWtBbYFvwXGBc0F1QXcBeQF6wXyBfcF/AYCBgwGHgY5BlwGgAadBqwGpwaNBmIGLwX6BckFngV4BVcFOAUbBQIE7QTgBNwE4gTzBQ4FMQVVBXMFggV4BVAFCgSrBDwDxgNXAvcCrQJ8AmQCYQJvAogCpgLHAuYDAwMcAzEDQgNOA1cDXANfA18DXgNcA1kDVANMA0IDNgMnAxYDBALvAtcCuwKcAn4CYwJNAjwCLwIhAg0B8QHMAaIBdQFKASMBAADgAMMApwCLAHAAUwA1ABb/+P/c/8L/p/+F/1j/HP7Y/pr+dP53/qf++/9g/7z/+QAOAAH/4P+9/6H/jv9//23/VP82/xz/Dv8P/xv/J/8o/xf+8f67/n7+QP4H/db9q/2J/W/9Xv1W/VT9U/1O/UH9Lv0W/P/86/zc/M38u/yj/IX8Yvw//B78APvi+8D7mftr+zv7Dfrl+sT6qvqS+nv6Y/pL+jP6G/oC+ef5xvmh+Xn5U/kx+RT4/fjo+NT4vfil+Iz4dfhg+E34PPgr+Br4Bfft98/3rPeF91z3NvcT9vX22/bB9qP2fvZT9iP18fXC9Zf1cfVO9S/1EvT39N/0y/S89LD0qfSk9KL0o/Sk9KT0o/Sf9Jb0ifR49GP0S/Qz9Bv0BvP08+Tz1PPD87HznfOI83HzWfM98xzy+fLU8rTym/KL8oDydfJi8kTyGvHp8bfxifFi8UDxIvEE8OTwwvCf8HzwWvA58Bjv+u/e78Tvru+Z74PvbO9R7zPvFe727tnuvu6m7o/uee5i7kjuK+4I7eLtu+2Y7X7tbu1q7W7tdu1+7YLtgO167XLtau1l7WTtZe1m7WXtYe1c7VrtXO1n7Xjtje2h7bHtu+3A7cTty+3Z7fDuD+4z7lruf+6h7rvuze7X7tzu3+7n7vfvEe80713viO+z793wCPA18GbwmfDO8QLxM/Fi8ZDxvvHt8hzyS/J48qPyzfL58yjzWvOO88Lz9fQl9FT0hfS29On1GvVF9Wj1hPWc9bT10fX49ir2afa19w73c/ff+E34tvkS+WH5oPnX+gr6Pvp1+q765/sc+0z7d/ue+8H73/v4/Az8HPwq/Dv8U/x0/KH83P0q/Yz+Bv6W/zr/6ACUATEBswITAlACbQJ3AnoCgwKeAs4DEgNkA7sEEgRkBLIE/AVFBY4F1gYdBmEGoQbfBx0HXQeiB+sIOgiNCOIJNAmCCckKDApMCowK0AsWC10LogvkDCUMZgyqDPMNPg2IDc4ODw5LDoYOww8ED0UPhA+/D/MQJBBTEIUQuRDwESYRWhGMEb4R8BIkElkSjRLBEvITIhNSE4ITtBPoFB4UVxSRFMsVBBU7FXAVoxXXFg4WSBaFFsEW+RcrF1YXeheYF7IXxRfSF9gX2RfYF9gX2hfgF+UX5xfkF9wX0hfHF78XuRe1F7MXsRexF7MXuBe+F8UXyxfPF9IX1BfWF9gX2BfVF88XxxfCF8UX0BfkF/wYEhgjGC8YOhhLGGQYhRikGLcYtRibGG0YNhgDF94XyxfJF9EX3RfnF+0X7hfsF+oX6hftF/cYBhgYGCoYNhg5GDIYIxgPF/YX2BewF30XPhb5FrgWghZdFkQWMBYZFfoV1BWvFZQVixWVFawVyhXoFgMWGhYxFkoWYxZ8FpIWpBaxFrcWtharFpYWdhZQFigWAxXkFc0VuhWoFZUVgBVpFVIVORUdFPoUzxScFGQUKxPyE7wThxNUEyIS8xLIEqESfxJdEkMSGBHpEbwRlRF1EVwRSBE2ESQRERD+EO0Q3hDQEMEQsBCbEIUQcBBfEFQQThBKEEUQPhAzECUQGRAPEAoQBxAFEAEP+Q/vD+APzg+2D5gPdA9KDx4O8g7JDqIOfw5fDkMOKw4ZDg0OAw32DeENwg2ZDWwNQQ0aDPoM3Ay+DJwMdwxODCQL+wvQC6ILbws3Cv0KxgqVCmwKSgotChEJ+AngCcsJuQmsCaIJmwmUCYsJgQl0CWMJUAk7CSYJEgj/CO0I3AjMCLwIrwikCJwIlgiQCIkIfQhtCFkIQAgjCAUH5wfMB7cHpgeZB44HfwdsB1QHOQcdBwUG8QbjBtsG1gbUBtMG0QbOBskGwAazBqMGkQZ8BmYGUAY8BisGHwYYBhQGEwYPBgUF9AXaBbkFkQVoBT8FGQT4BNsEwgSrBJIEdgRXBDUEEwPxA9ADsAORA3MDVgM8AyUDFAMIAv8C9wLtAt8CzAK4AqQClQKLAoYChAKAAngCagJUAjoCHQH/AeEBwQGfAXwBWAE2ARcA+QDcAL0AmABwAEUAG//1/9P/tP+U/3D/Rv8Y/ub+sf58/kf+Ff3m/b39m/1//Wn9Vv1F/Tf9LP0n/Sf9J/0j/Rj9BPzt/Nn8z/zS/N786/zs/Nr8sfxz/Cj72PuJ+z76+fq3+nf6Ovn/+cj5lvlr+UX5JvkJ+Oz4y/ij+HP4QPgN9+D3vPeh94v3d/df90L3Ifb+9tz2vfag9oX2aPZL9i32D/Xx9dP1tPWS9W31RfUb9PL0yvSj9H30WPQ29BXz9/Pc88TzsPOd84zze/Nm807zMfMS8vXy3vLN8sPyu/Kx8qLyjvJ58mfyW/JT8lDyTPJH8kPyQfJD8kfySfJH8j3yLfIb8grx/fH08e3x5fHd8dbx0vHS8dXx2vHd8eDx5PHt8fnyB/IR8hLyBvHu8c7xrPGM8XLxXvFP8UTxPPE38THxLPEn8SPxI/En8S7xNfE38TLxJfET8QLw8/Dk8NTwwPCn8I7wevBx8HTwgPCO8JnwnPCV8IfwcvBZ8D/wJ/AW8A3wDPAS8BnwH/Al8C7wP/BZ8HnwmPCv8L/wzfDh8QLxMPFk8ZPxtfHK8drx7/IR8j3yafKN8qPysvLE8uXzE/ND82TzavNY8z3zM/NK84fz2PQl9Ff0ZvRc9FD0V/R+9MH1EPVa9Zb1xfXv9hz2T/aF9rj24fcE9yX3T/eG98j4DvhM+H74ofi9+Nn4//kw+W75tvoD+lX6qvr9+0v7j/vD++j7/vwL/Bb8I/w2/E38avyL/K/81/0A/Sr9U/17/aX90/4J/kb+h/7G/wD/Mv9e/4r/uv/uACYAXgCRAMAA7QEcAU4BgwG3AeYCEAI2Al4CjQLJAw8DXAOpA/EEMARiBIoEqQTBBNYE6QT6BQsFGAUjBSoFLgUzBTsFSAVZBW0FgAWSBaAFqwWzBbkFvQXABcIFxwXOBdYF3QXiBeEF3AXUBcsFwgW6BbEFqAWfBZoFmwWkBbMFxgXXBeQF7AXvBfIF9QX7BgUGFAYpBkYGaQaQBrYG1gbtBvgG/Ab9Bv0HAAcGBw4HFwchBy0HOwdKB1cHYQdmB2kHagdtB3EHdQd3B3YHcQdrB2YHYgddB1cHTAc/BzAHJwcnBzUHUQd4B6QH0Af2CBMIJggzCDwITAhoCJcI1gkgCWUJlgmlCY0JUgkBCK0IZwg7CCkIKggvCCkICAfBB1IGvQYPBVMElQPgAzcCnQIUAaMBWAFCAWoBzgJeAv4DjQPvBBcECgPaA5wDZAM8AyYDGwMTAwcC9QLbArwCmwJ6AlwCQQImAggB4wG0AX8BSwEfAQUA/AEAAQkBCwECAO0A0ACyAJYAfQBjAEUAIv/6/9L/r/+T/4D/dv90/3j/gP+J/5H/l/+c/6b/uf/ZAAUANwBoAI8AqAC1ALsAwgDOAOIA+gEQASABKQErASoBKwEwATkBRQFSAVwBZAFrAXMBfwGPAaIBtQHDAckBxgG/AboBvwHVAf0CMgJrAp8CyQLpAwUDKANbA6AD9ARMBJwE2gUCBRYFHQUgBSQFLgU8BUsFWQVmBXIFfQWJBZUFoQWsBbUFvgXIBdYF6AX+BhYGLwZFBlYGYgZsBncGhwacBrUGyQbRBsUGoQZrBioF6QWxBYcFagVYBUsFQgU8BToFPAVEBVAFXgVtBXgFfAV1BV4FMwT0BKIEQwPfA38DKwLqAr4CpwKjAq4CwwLdAvgDEAMkAzMDPgNFA0oDTgNQA1EDUQNPA0sDRwNAAzcDKwMbAwkC9gLjAtICwwKzAp8ChQJmAkQCJAIMAfwB8gHqAd0BxwGmAX4BUgEnAQAA3AC7AJwAgABnAFEAPAAlAAr/6//K/6r/jP9q/z//BP67/m/+M/4b/jL+eP7b/0H/kf+8/8H/q/+N/3P/Y/9Y/0f/Kv8B/tL+qP6M/oD+fv59/nT+Xf45/g393v2x/Yn9Zv1J/TD9Hv0S/Qz9B/0C/Pn86/za/Mv8v/y3/K/8pPyR/Hb8VPwt/Af75PvD+6P7gvtd+zf7EPrs+sv6rvqS+nn6YPpJ+jP6HfoF+ej5x/mi+X35Wvk9+Sf5FPkB+Ov40fi1+Jr4g/hy+Gb4XPhQ+D/4KfgN9+z3xvef93f3UPct9w728fbT9rH2ifZc9iz1//XX9bb1mvV+9WH1QfUh9QP07PTc9NH0y/TG9MH0u/S29LL0rPSl9Jv0jPR69Gb0U/RB9DL0JPQU9ALz7fPW88Dzq/Oa84vzefNk80fzJ/MF8uny1fLK8sLyt/Ki8oDyUvIe8erxvfGY8XnxXPE+8Rzw9fDL8KDwdvBP8CvwDe/z797vy++476Lviu9v71PvNe8Y7vvu3+7F7q3ul+6B7mjuSu4m7f/t2e257aPtmO2X7Zztoe2j7aHtmu2R7Yftf+177XrtfO1/7YLthO2G7YjtjO2W7abtuu3P7ePt8u387gXuDe4Z7iruQO5Z7nTujO6g7q7utO607rHur+6y7r3u0+7y7xrvSO9777Hv6/An8GPwnfDT8QPxMPFc8YrxvPHx8ijyW/KJ8rLy1/L98ynzW/OT8830BvQ79Gz0nPTO9QH1NfVn9ZL1tfXR9en2A/Yj9k72hvbL9x/3gPfo+FT4u/kW+WL5n/nP+fn6JPpR+oP6uPrs+x/7UPt++6j7zvvv/Ar8Ivw5/FH8bPyM/LP84/0f/Wv9zP5B/sr/YP/7AJABFAGAAdECBgInAj8CWAJ+ArYDAQNYA7QEDQReBKcE6gUrBWsFrAXtBi4GbgavBvEHOAeCB9IIJQh9CNQJKwl9CcgKDQpMCooKyQsLC1ELlwvdDCMMaQyxDPoNRQ2NDdEOEA5LDocOxQ8HD0kPiQ/CD/QQIRBNEHwQrxDnESERWRGPEcER8xIkElYSiRK8EvETJBNYE4sTvhPyFCgUYRSdFNkVFBVLFYAVsxXoFh8WWRaUFswW/xcpF04XbReIF58XsRe6F74XvBe7F70XxBfOF9cX2hfXF84Xwxe4F7AXrBerF6sXqxerF60XsBe0F7oXwBfFF8oXzRfQF9IX0hfQF84XzBfOF9cX5hf6GA8YIBgrGDEYNhg/GE8YYxh0GHkYaRhEGBAX2RetF5cXmhevF88X7hgFGBAYERgKGAAX9hfvF/AX9xgFGBUYIBghGBUX+hfWF6wXgRdWFysXABbWFq4WixZsFlEWNBYVFfQV1BW9FbIVtRXBFdEV3hXoFfEV/xYYFjoWYxaJFqYWtha4FrAWoBaMFnUWWhY7FhwV/hXjFc4VvBWtFZ4VjRV7FWcVURU4FRsU+BTOFJ0UZhQpE+gTpRNlEyoS9xLMEqkSiRJoEj0SDhHdEa8RhhFjEUURKxESEPsQ5RDSEMIQtRCpEJoQiRB1EGIQURBFED4QOxA3EDIQKBAdEBIQChAIEAoQDhAQEA0QBQ/6D+wP3A/KD7MPlg9xD0YPGg7vDscOoQ58DlcOMw4SDfYN4A3MDbkNow2JDWwNTg0yDRYM+QzZDLUMjgxmDEAMHAv3C80LnAtlCywK9QrECpsKeApZCj0KIgoHCe8J2gnHCbcJqgmfCZcJjwmHCXsJbAlZCUUJMQkgCRIJBgj7CPEI6AjeCNUIywi+CK0ImQiCCGoIUQg5CCIICwf1B98Hywe3B6QHkQd+B2oHVQdABykHFAcABu4G4AbVBs0GxgbABrcGrAagBpIGhAZ0BmQGUwZBBi8GIAYTBgkGAAX2BekF2AXBBaQFgwVeBTcFEQTtBM0EsgSaBIIEZwRHBCQD/wPbA7gDmQN7A14DQQMkAwgC8QLeAtECygLEAr8CuAKuAqECkwKGAnkCbgJiAlUCRgI0Ah8CBwHsAc0BqQGCAVkBMgEOAPEA2ADAAKUAhgBhADkAE//w/9H/tP+W/3P/Sv8d/u7+vv6N/lr+Jv3y/cH9lP1u/U79Mv0Z/QT88vzl/N782PzQ/MT8s/yi/Jj8mvyo/Lz8y/zJ/LD8ffw5++37oftb+xv63fqe+l76Hvnh+az5gPld+T/5I/kG+OL4uPiG+FD4Gvfn97z3m/eC92/3W/dD9yf3Bvbk9sX2qPaO9nP2V/Y49hj1+PXZ9bv1nvV+9Vz1N/UR9Ov0xvSi9H30V/Qw9Ajz4PO685nzfvNp81nzTPM/8y3zFvL78t7yxfKz8qnyovKc8o/yffJm8k/yO/Iu8ibyIvIh8iPyKPIx8jzyRfJI8kHyMfIb8gTx7/Hf8dPxy/HH8cjxzPHS8djx2fHV8c/xzPHR8eHx9/IP8h/yJPIb8gjx7/HU8bjxnvGH8XPxY/FY8U7xRPE28SXxFfEJ8QXxCPEQ8RrxI/Ep8SvxKvEi8Q/w8vDN8KbwhvB18HbwhfCe8LfwzPDY8Nrw0fC+8KLwgvBh8EbwMfAl8B/wH/Ak8DHwRfBg8Hzwk/Ci8Kzwt/DP8PbxK/Fi8ZDxrvHB8dPx7vIW8kfydPKV8qjyt/LP8vfzLPNd83nzdvNd80HzPfNd85vz4fQR9Bz0BPPi89Tz8vRA9LD1KPWQ9d72FPY+9mj2lfbB9ub3AfcY9zP3Xvec9+f4NPh3+Kn4zfjp+Qj5L/lg+Zn51voU+lX6mPrd+yH7XPuM+677xPvV++f7/fwY/Df8WPx7/KH8zfz9/S/9Yv2R/b796v4a/k/+iP7B/vj/Kf9Y/4j/vv/5ADYAcQCjAM8A9wEgAU0BfQGsAdQB9QITAjMCXQKWAtoDJgNyA7oD/AQ5BHEEogTNBO4FBgUXBSMFKwUzBTkFPwVEBUwFVwVmBXkFjQWgBbAFvAXCBcQFxAXCBcIFxgXOBdkF5AXsBe4F6wXjBdsF1QXRBdAFzQXHBcAFugW5Bb4FyQXaBewF/gYMBhYGGwYcBhoGGgYfBi0GRAZkBokGrQbLBuEG8Qb8BwQHCgcPBxMHFwcbByIHLAc6B0gHVAdeB2UHagdvB3QHegeAB4QHhweIB4kHigeJB4UHfQdyB2QHWAdTB1oHbweRB74H7AgVCDMIQwhJCE4IXgiCCLwJCAlYCZgJuQmwCX8JMQjaCI0IVgg9CDoIRAhMCEQIIQfaB2gGxwX6BQYD/ALuAfMBHwCAAB3/+wAUAGYA6AGOAkgDAgOmBCEEaAR4BFcEFAPDA3UDNwMPAvoC7wLiAswCqQJ7AkoCGgHuAcUBmwFwAUcBJAEOAQcBCwERARABAwDpAMkAqwCTAH0AZABAAA7/0/+Y/2j/Tf9G/1H/Zv9//5f/qv+4/73/uf+t/53/k/+W/6z/1AAKAEIAcwCXAK0AugDDAM4A3gDzAQkBHQEuAToBRQFOAVoBaAF3AYUBkQGbAaUBsgHGAd8B+wIUAiUCKwIoAiECHgImAjkCVQJ0ApACpgK6AtEC9QMrA3MDyAQhBHMEtgTmBQcFHQUtBT0FTQVcBWkFdAV9BYcFkQWcBagFsgW4BbwFwAXIBdcF7wYRBjoGZQaNBq0GwgbOBtUG2AbcBt8G3AbNBq0GfQZBBgMFywWhBYcFeAVxBWwFZwVkBWQFaQVyBXwFggV+BW0FSwUYBNYEiAQzA98DlANYAzEDHwMgAy4DRANbA3ADgAOLA5EDkwORA4wDhQN9A3QDawNiA1gDTQNCAzcDLAMgAxMDAgLvAtkCwwKvAp8CkQKEAnMCWwI8AhcB8gHTAbwBrQGhAZMBfgFjAUIBIAEAAOEAwwCjAIEAYQBEACwAGAAF/+3/z/+s/4n/aP9H/yH+7/6u/mL+Gf3n/dv9/v5F/qD+9/82/1b/W/9Q/z//Mf8j/xH+9f7O/p/+cP5I/in+FP4D/fL93P3A/aD9gP1h/Ub9Lf0X/QL88Pzh/NT8y/zC/Lr8sPym/Jz8k/yM/IT8e/xt/Fj8Pfwb+/f70fut+4z7bftQ+zP7Fvr3+tf6tvqV+nX6WPo++ib6EPn4+d75wfmh+YP5Z/lR+T/5Lvkc+QX46vjN+LH4mviI+Hz4cPhh+E74NvgY9/j31fex94z3ZvdB9x72/fbc9rn2k/Zq9kH2G/X89eP1zfW29Zr1ePVU9TT1GvUJ9P/0+PTx9Oj03fTS9Mj0vvSz9KX0k/R/9Gv0WvRN9EH0NvQo9BXz/vPm89DzvvOx86bzmfOH827zUPMy8xnzBfL38uny1/K78pbya/I+8hTx7/HN8a3xi/Fk8TnxDPDe8LHwh/Bg8D7wIfAJ7/Xv4e/M77Tvmu9+72PvSO8u7xXu/e7m7tHuve6q7pTud+5U7i3uBu3n7dPtyu3J7cntyO3D7bntru2i7Zjtj+2I7YTthO2J7ZHtne2r7bntx+3X7ejt++4P7iLuMe497kbuT+5Y7mPuce6B7pHunu6m7qnupu6f7pfuku6V7qHutu7U7vrvJ+9a75Xv1fAZ8F3wnfDW8QjxNfFi8ZHxxfH98jbya/Kb8sXy6vMQ8znzavOg89r0FPRL9H/0svTl9Rv1U/WK9bv15vYI9iT2QPZf9oX2tvb09z73lff3+F34wfkb+WX5nfnG+eb6BPoo+lP6hfq6+u/7IftO+3f7nPu9+937/PwZ/Df8VPxz/Jb8wfz4/T79lf37/m7+6f9n/+MAWgDIASkBfAHBAf0CNgJ2AsEDGgN7A94EOgSKBM4FCAU7BWwFngXRBgYGPwZ+BsQHEAdjB7kIEQhqCMMJGglvCcAKCgpNCowKyQsIC0kLjgvVDB0MZwyxDPwNRw2QDdQOFA5QDosOxw8GD0YPhA+9D/AQHxBMEHwQsBDmER0RUxGHEbkR6RIaEk0SghK4EvETKRNhE5cTyhP9FDIUahSlFOIVHhVXFY0VwBXyFicWXhaUFscW9RcbFz0XWhd0F4oXmhejF6YXphemF6oXshe8F8QXxhfCF7kXsBeoF6MXoRehF6AXnxegF6IXpxevF7gXwRfHF8sXzBfLF8kXyBfKF80X1BfdF+gX9RgBGAwYEhgUGBEYDBgIGAcYCRgJGAIX7hfLF6AXdhdbF1YXaxeTF8MX8BgQGCEYIxgcGBAYBRf8F/gX+hf+GAEX/BfqF8cXlxdeFygW+hbaFsYWuRasFpsWhBZmFkUWIhYDFegV1hXOFc8V1RXbFd4V3hXfFeYV/BYhFlEWgxatFsQWxxa5FqIWiBZwFlwWSRY0FhsWABXlFcwVuBWoFZwVkRWFFXcVZRVQFTYVFxTyFMUUjxRRFAwTwhN6EzkTARLUEq8SjBJnEiMR8xHEEZgRcRFPES8RERD1ENwQxxC2EKkQnRCPEH0QZxBPEDoQKhAhEB0QGxAXEBAQBQ/5D/AP7Q/xD/kQARAFEAMP+w/vD+MP2Q/PD8EPqw+MD2UPOg8QDukOxg6jDn4OVg4sDgMN3Q28DaANiA1zDWANTg09DSoNFAz2DNMMrAyGDGIMQAweC/cLyQuTC1oLIgrvCsQKnwp+CmEKRQotChcKBQn1CeYJ2AnMCcEJtwmuCaMJlwmHCXcJZwlYCU0JQwk7CTMJKwkhCRQJBAjtCNIItQiXCHwIZQhTCEQINQgkCA4H9gfbB8EHqAeSB38HbQdbB0cHMQcYBv8G6AbVBsUGuQauBqMGlwaKBn0GcQZlBlcGSAY3BiUGFQYHBfsF8wXrBeIF1wXHBbAFkwVvBUQFFgTqBMIEoQSHBHIEXARDBCUEAwPeA7kDlwN2A1cDOAMZAvsC3gLGArQCqQKkAqICogKfApcCiQJ4AmQCUgJBAjMCJQIYAgcB8gHXAbYBjwFmATsBFADzANoAxQCxAJsAgABgAD4AHQAA/+b/zP+s/4b/Wf8p/vj+yP6Z/mn+N/4B/cr9lP1j/Tb9Dvzp/Mn8rfyY/Ir8gPx6/HT8b/xu/HT8hPya/K/8tvyo/H/8Qfv2+6v7Z/su+vr6xvqN+k36CvnL+Zb5bPlL+TD5E/jy+Mn4mfhk+C33+PfJ96L3g/ds91j3Q/cs9xH29PbW9rr2n/aF9mj2SPYk9f712vW59Zz1gvVm9Uf1JfT/9Nn0svSN9Gj0QvQa8/HzyPOf83jzVvM78yXzFvMJ8vvy6/LW8r7ypvKT8ofyf/J48m7yXfJH8i7yF/IG8fvx9vH38f3yB/IU8iHyK/Iu8ibyFfH98eTxz/G+8bTxsPGx8bfxvvHF8cbxwPG08aXxm/Gc8avxxPHi8f7yEvId8iDyG/IO8fnx3PG68Zjxe/Fm8VfxSfE58STxDvD88PPw9vEC8RTxJvE38UbxUfFV8VDxPvEg8Pzw2fDA8LTwt/DF8Nnw7vEC8RHxGPEV8QTw6PDE8J3wePBa8EPwNvAy8DnwSfBf8HXwh/CS8JrwqPDD8O7xI/FY8YPxovG58dPx9vIj8lPyevKS8p7yq/LH8vXzLfNd83Xzb/NX80TzS/Nw86nz2fPs89nzsfOS85zz3/RS9Nz1W/W89fj2HPY59lz2iPa19tz2+vcT9zL3Yfei9+74Ofh6+Kv40Pjy+Rn5SPl9+bP56Pob+k36gfq5+vL7KPtW+3z7nfu7+9z8APwk/EX8ZPyB/KD8yPz4/S/9Zv2a/cj99P4g/lL+iv7F/v7/M/9m/5n/zwAKAEUAegCoAM0A8AEWAUIBcwGjAc0B7wIMAiwCVgKKAsgDCANGA4ADuQP1BDQEdASwBOEFBQUeBS8FPAVIBVQFXQVkBWoFcQV7BYkFmAWmBbEFuAW8Bb4FwAXEBcoF0wXfBewF+QYBBgMF/wX4BfMF8AXzBfcF+gX3Be4F4QXVBc8F0gXfBfQGDQYmBjoGRQZIBkIGOAYuBioGLgY9BlMGbgaLBqcGwQbYBusG+gcEBwkHDAcOBxIHGgcoBzgHSgdaB2gHcgd7B4IHiAePB5UHmwehB6YHqQerB6oHpQebB40Hfgd0B3QHhAekB9AH/wgmCD8ISQhLCFMIbAieCOYJOQmECbUJwAmjCWgJIAjcCKsIkQiICIgIhAh2CFkILAfpB4YG9QYoBRwD4AKPAVMAUv+n/1f/Vf+H/9gAOQCqATUB4AKoA3sEOgTHBQkE/ASvBD0DyANnAyUC/gLkAsoCpgJ3AkICCwHXAaQBcAE+ARMA9wDuAPgBCwEZARYA/ADSAKEAdABPAC8ACP/W/5n/Xv81/y3/Sv+G/9AAFwBNAHAAgACEAH4AbgBTACz//v/S/7P/qv+6/98AEwBIAHcAmgCxAMAAzgDgAPgBFQEzAUwBYAFtAXkBhgGXAakBuwHJAdMB3AHpAf0CGQI4AlUCaAJwAm8CawJrAnICggKZArMCzwLtAw4DNANiA5cD0AQMBEYEfQSvBN0FBwUsBUsFYwV0BX8FhwWPBZoFqwXABdUF5gXyBfcF+AX7BgMGFQYyBlkGhAavBtQG7wb9BwIG/gb2BukG1wa9BpgGaQY2BgQF3AW/Ba8FpAWbBY8FfwVtBV0FUQVHBTwFKQULBOAEqARnBCMD4QOoA30DZANhA3EDkAO4A+AEAwQbBCgEKwQmBBwEDwP+A+sD1gO/A6cDjwN3A18DSQM0AyIDEgMEAvYC5wLVAsACqgKTAn4CbAJaAkgCMAIUAfIBzwGuAZEBeAFhAUoBMQEWAPwA5QDRAL4AqQCOAG4ASgAnAAr/8//f/8j/rP+K/2T/QP8f/v7+2P6k/mL+Gf3V/ab9m/22/fL+QP6N/sz+9f8G/wT+9f7f/sX+qf6L/mr+R/4j/gD93f2+/aL9if1z/V39R/0x/Rv9Bfzy/OH80fzD/Lf8q/yg/Jb8jvyE/Hn8bPxd/E78QPwz/CX8FfwA++P7wvud+3v7XftF+zD7G/sD+uX6wvqa+nL6TPop+gv57/nW+b/5qPmT+YD5cPli+VT5Rvk2+SL5C/jz+Nz4xviz+KH4jPh0+Fj4Ovga9/z33fe995v3dvdP9yj3A/bg9r/2nvZ99l32QPYo9hT2AvXu9dX1tvWV9XX1W/VI9Tr1L/Ui9RX1BvT39Or03fTQ9MD0rfSa9Ib0dvRp9Fz0TfQ79Cb0DvP38+Tz1fPK88Dzs/Oi84vzcvNZ80LzLfMZ8wLy5fLE8p7yefJY8jryHfH98djxq/F58UXxFPDo8MDwnfB98F/wRfAu8BnwBO/t79Lvtu+b74Lva+9X70PvLu8Z7wTu8e7e7sjurO6K7mPuPe4f7grt/+357fTt7O3g7dPtxe257a7to+2Y7Y/tiu2O7Zrtr+3I7eLt++4S7ifuOu5L7lruZu5w7nfufe6D7oruku6b7qTuqu6s7qruou6Z7pLuke6a7qvuxe7m7wvvNu9m757v3fAg8GTwpPDe8RLxQvFx8aLx1vIM8kPyefKr8tnzBPMs81XzgPOw8+P0GfRQ9Ij0wPT59TT1bvWn9dz2C/Yy9lX2dfaY9r/27vck92P3rfgA+Fv4uPkO+Vb5jPmw+cj53Pn3+hv6Sfp++rH64fsI+yr7SPtm+4X7pvvI++j8Bvwl/Ej8dvyy/P79Wf29/iX+i/7v/1L/tgAdAIYA7QFQAa0CBwJiAsUDLwOeBAwEcATHBQ4FSAV3BZ8FwwXlBggGMQZlBqYG8wdKB6QH/ghUCKgI+wlOCaEJ8Qo8CoEKwAr9CzwLfgvEDA4MWgyoDPUNQg2MDdIOEw5QDooOww79DzgPcQ+oD90QEBBDEHcQqxDgERQRRxF6EawR3xITEkgSfxK3EvATKhNkE5wT0RQEFDgUbhSoFOMVHhVXFYwVvhXwFiMWWBaMFr4W6xcSFzQXUhdsF4EXjxeWF5cXlReWF5oXoReoF60XrRepF6MXnheaF5kXlxeUF5EXjhePF5QXnherF7gXxBfLF8wXyBfCF7wXuhe+F8gX1hfkF+8X9hf4F/YX8hfqF98X0hfCF7QXqReiF5sXkRd/F2cXTxc+Fz4XUxd6F6sX2Rf+GBQYHRgdGBkYExgNGAcX/xfzF+MXyRejF3EXNRb3FsAWmRaGFoMWiBaLFoQWcRZTFjMWFRX/FfMV7hXtFewV6RXjFd4V3RXmFf8WJhZZFo4WuhbVFtoWzBayFpUWfBZqFl4WUhZBFigWCRXnFccVrhWcFZIVjBWGFXsVaxVUFTcVFxTxFMcUlhRdFBwT1RONE0kTDBLYEqoSfhJSEgoR2BGoEXwRVBEvEQ0Q7BDOELcQphCcEJYQjhCBEG0QUxA3EB0QCQ/8D/UP7w/oD98P0w/HD78Pvg/DD80P2A/fD98P2A/PD8YPvw+6D7IPog+ID2UPPQ8XDvUO2Q6/DqMOgQ5YDioN+w3PDacNhg1qDVUNRQ05DS0NHQ0HDOgMxgyiDIEMYgxCDB4L8Qu8C4MLSwsXCuoKxQqlCokKcQpcCksKPgoyCiYKGQoKCfwJ7wnjCdcJzAnACbUJqQmeCZMJigmBCXkJcQlnCVgJQgklCQMI3gi9CKIIjgiACHMIZAhQCDcIGwf9B98HwgepB5MHfwdrB1YHPwckBwgG7AbTBr4GrQaeBpAGgwZ0BmYGWQZMBj4GMAYgBhEGBAX6BfMF7wXsBegF4AXSBb0FngV2BUcFEwTfBLEEjQRzBGIEVQRIBDUEGwP6A9MDqQOAA1kDNAMSAvIC0wK3AqACjwKGAoQChgKHAoMCeAJmAlECPAIqAhsCDwICAfEB2gG8AZgBcAFGAR4A+wDdAMUAsgCgAI0AdgBcAEEAKQAT//7/5v/H/5//b/87/wj+1/6p/nv+Sf4S/dX9lv1Y/R385vy1/In8ZfxJ/Dj8Mvw0/D78Tvxi/Hv8lfyq/LP8p/yD/En8APu0+3D7N/sJ+t/6sfp5+jn59vm2+YD5Vfkz+RX49PjO+KL4cPg7+Aj32few9433cvdb90b3MfcZ9v724fbD9qb2ivZu9lD2LvYI9eH1vPWc9YD1aPVP9TL1EPTo9L30kvRp9EP0HvP789fzsfOK82HzOPMS8vLy2PLG8rnyrvKh8pHyf/Js8lvyTfJB8jTyJfIS8f3x6vHb8dPx0fHW8d/x6/H48gPyCPIF8frx5/HR8bvxqvGg8Zvxm/Gd8aHxpPGk8Z7xj/F68WPxUfFK8VHxZfGC8aTxyPHs8g7yKfI38jHyF/Hs8bnxivFo8VLxRPE58SvxHPEQ8QzxEfEe8S3xO/FH8VPxYPFt8XnxfPF28WTxTfE18SLxFvES8RTxHPEo8TfxRfFO8UzxPfEi8P3w1PCq8IXwZ/BR8EjwSfBT8GLwcfB+8Izwn/C98OfxGPFK8XfxnPG/8eTyDvI68l/yd/KC8ofylfK28unzIvNP82TzYPNR80vzXPOC86vzwfO1843zYvNU83rz2vRe9OX1UvWX9br1zvXq9hj2VfaY9tL3Avcp91L3hffC+AT4Q/h5+KT4yfjw+Rz5T/mF+bn56foV+kH6cfql+tr7D/s/+2v7k/u8++b8EPw3/Fj8c/yL/Kf8y/z7/TL9bP2h/c/9+v4m/ln+lP7V/xT/T/+E/7b/6gAhAFcAiQCzANYA+AEeAUsBfgGvAdoB/QIaAjsCZAKYAtEDCAM7A2kDmAPOBA8EVgScBNgFBwUpBUIFVwVqBXoFhQWKBYwFjgWSBZkFogWpBa4FrwWxBbQFuwXFBdIF4QXxBgEGDwYZBh4GHgYbBhgGGAYcBiIGJgYkBhoGDAX9BfMF8QX7Bg8GKAZDBlsGagZuBmgGWgZIBjgGLAYpBi4GPAZPBmgGgwaeBrgGzgbfBusG8wb8BwYHEwcjBzYHSQdcB2wHeQeDB4sHkgeZB6AHqAewB7YHuwe+B78HvQe2B6oHnAeRB5AHnge8B+UIDwgtCDwIPQg8CEkIcAizCQoJYgmoCcsJxwmjCW0JNgkOCPcI7gjoCNoIvAiPCFsIJgfvB6gHOQaGBYIENQLBAV8AQ/+U/1b/bv+t/+cACQAbAD4AlgE8AioDPAQ9BPoFVQVLBPIEcQPrA3oDJgLpAroCkAJnAj4CFAHmAbEBdAEzAPcAzwDBAM0A5gD5APgA2wCnAGoAL//9/9H/pP9y/0P/J/8v/2j/zwBRANQBPAF8AZQBkAGAAXABYgFOAS0A9wCtAFkAC//S/7v/x//xACwAZwCYALkAzwDfAPMBDwEvAU8BaAF5AYQBkAGhAbgB0QHnAfUB/QIDAg4CIgI+Al0CdwKHAowCiwKJAo8CoAK9AuUDFANEA3IDmgO7A9YD7wQJBCsEVQSIBMEE+QUrBVMFbgV+BYUFigWTBaUFwgXnBhEGNwZWBmsGdQZ5BnsGfgaFBpEGoQa0BscG1gbhBuYG5gbgBtYGxgauBo4GZwY6Bg4F6AXJBbEFnQWGBWoFSAUjBP4E2wS4BJQEbQRABBAD4gO7A58DkQOSA6ADuQPbBAEEKQRNBGsEgASNBJIEkwSQBIgEfQRqBFEEMAQJA98DtAOMA2gDRwMrAxQDAALvAuAC0gLBAq4CmAJ+AmMCRwIsAhIB+QHfAcUBqQGMAW8BUgE1ARcA+ADbAMEArACbAIwAfABmAEkAJwAF/+X/y/+0/57/hP9k/0D/Gv74/tr+u/6W/mX+Jv3e/Zr9aP1V/Wj9nP3o/jn+gP6u/r3+sf6U/nD+UP43/iP+Dv30/dH9qP2B/WH9TP0//TX9KP0V/Pz84/zN/L78tvyw/Kv8ovyX/Ir8ffxv/F78Sfwx/Bj8Avvy++n74/vZ+8j7rfuM+2r7Tfs5+yv7H/sO+vT60fqo+nv6T/ok+f352vm7+aP5kfmG+X/5efly+Wn5XflP+UH5Mvkj+RP5Avju+NX4t/iU+G34Rvgh+AD34vfF96X3gPdX9yz3A/bg9sH2p/aO9nf2YfZO9j32LfYd9gn18fXW9br1ofWL9Xf1ZfVT9UH1MfUj9Rb1CvT89Oz02/TK9Lv0rvSg9JD0e/Rh9EX0KfQR8/7z7/Pj89XzxPOw85nzg/Nu81rzRvMw8xXy9vLT8rHykvJ38l7yQ/Ih8fTxv/GH8VDxIvD78NzwwfCn8I3wdPBe8EnwNPAe8AXv6+/S77zvqu+Z74bvcO9Y7z7vJe8N7vTu2O637pTucu5V7kDuMu4o7h3uEe4D7fXt6O3d7dLtxe227ajtoO2i7a7txO3g7f7uG+417kvuXu5t7nruhO6M7pLul+6c7qDuo+6n7qrurO6s7qnuo+6e7p3upO607s3u7u8T7zvvZe+U78jwAfA+8HvwtfDr8R3xT/GA8bPx5/Ic8lDyhfK68u7zH/NL83TzmfPA8+v0HfRV9JL00fUQ9U71ifXB9fT2IvZL9nH2l/a/9ur3GfdL94H3vPf++Ej4mPjm+Sz5Y/mI+Z/5sfnF+eP6C/o4+mX6jfqt+sb63vr3+xX7OPtc+4H7pvvM+/j8Lvxz/Mb9JP2G/ef+Qf6W/un/P/+cAAMAbwDeAU0BugIqAp4DGAOVBA8EgATjBTcFfAW1BeEGAgYYBikGPgZeBpIG2wcyB5AH7AhACI4I2QkmCXcJywocCmgKrArqCycLZwusC/gMRwyZDOoNOQ2EDcoODA5JDoMOug7wDyUPWQ+ND8EP9hAtEGUQnBDTEQgROxFvEaUR3BITEkoSgBK2EuwTJBNeE5gT0RQIFD4UdBSqFOAVFxVMFX8VsRXlFhsWUxaLFr8W7hcWFzkXVhdtF34XhheHF4MXfxd+F4MXjBeUF5kXmheYF5YXlBeUF5MXkBeLF4YXhBeIF5EXnxevF74XyBfNF8wXxRe7F7MXsBe2F8UX2BfqF/YX+BfyF+cX2hfMF7wXqReUF4AXcxdvF3UXfxeEF38XcRdhF1gXXxd2F5sXwxfnGAEYERgaGB0YHRgVGAYX7hfOF6sXhBdcFzEXAxbWFq4WkRaCFn0WfBZ4FmoWUxY3FhwWChYCFgEWAxYBFfkV7RXjFeEV7hYMFjgWbBafFsYW3BbeFs8WtxaeFooWfxZ6FnYWbRZbFj4WGBXvFckVqhWWFYsVhRV/FXMVXhVCFSEU/hTbFLcUjxRfFCYT5ROeE1cTFRLaEqQScBI9EgYR0BGaEWgROhEPEOcQwxCkEIwQfhB5EHgQdxBwEGAQSRAtEBEP+A/kD9UPyA+7D64PoQ+VD40Pig+ND5QPng+nD6sPrA+oD6QPoA+cD5UPiA9xD1MPMg8RDvUO4A7NDrkOnw59DlQOJg33DcoNoQ19DWANSw08DTANIw0RDPcM2Ay2DJYMdwxYDDYMDQvdC6cLcgtBCxcK9QrZCsIKrgqcCo0KfwpyCmQKVgpICjkKKwofChQKCgoCCfkJ8AnmCdsJ0AnFCb0JtQmrCZsJgglhCTsJFgj2CN8Izgi+CKwIkwh0CFIIMAgQB/MH1we8B6EHhgdtB1MHOQceBwEG5AbKBrIGnwaQBoEGcgZiBlIGQgYzBiQGFgYJBf4F9QXuBeoF5gXiBdoFzgW7BaEFgAVXBSgE9gTEBJcEcgRZBEoEQwRABDkEKwQSA+0DvwOMA1sDLwMIAuYCxwKqAo8CegJuAmoCbAJvAm4CZgJWAkECKwIYAggB+wHrAdgBvgGeAXkBUgEqAQMA3wDAAKYAkAB+AG0AWwBIADUAIgAR////6v/O/6j/e/9J/xb+5f62/ob+Uv4X/dX9jf1D/Pv8uPx9/En8IPwE+/b7+PwH/CL8Rfxr/I/8qfyz/Kj8hfxM/Ab7u/t3+z37EPro+r/6jvpU+hP50fmV+WL5OfkU+PH4y/ig+HH4P/gN9973s/eO92/3VPc+9yj3Efb29tf2tPaR9nD2UvY49iD2BvXq9cv1q/WN9XL1WfU/9SH0/fTR9KL0cvRF9B3z+fPZ87nzl/Ny80rzHvLy8sjypvKN8n3ydfJu8mXyV/JE8i3yF/IC8fDx4PHR8cTxuPGx8a/xsvG68cXx0fHb8eHx4PHZ8cvxufGn8ZfxjPGG8YLxgfF/8X3xevF08WvxW/FF8S3xFvEF8P7xAvET8TDxWvGR8dDyDfI88k/yQvIY8d7xpPF38VrxSvE/8TXxKfEg8R3xI/Et8TjxP/FC8UbxT/Ff8XTxifGX8ZzxmfGP8YTxevFx8WvxZ/Fo8W7xd/GA8YPxfPFq8U7xKfD+8NDwo/B78F3wTPBJ8FHwYfBz8Ijwn/C98OLxDfE88Wzxm/HM8f3yK/JR8mrydfJ38nzyj/K18unzHPNC81LzUvNR81vzdvOX86zzpfN980TzF/MT80bzqvQl9Jn08PUn9Uv1b/Wm9fH2Svah9uz3J/dY94b3tvfq+B74Tfh2+Jv4wvjs+Rz5T/mA+a/52voE+jL6Zfqc+tT7Cvs7+2n7lPu/++v8Fvw9/F/8fPyX/Lb83f0O/UX9fv2y/eH+DP45/m7+rP7u/zD/bf+j/9cACwBCAHsAsQDgAQgBLAFTAX4BqwHVAfYCDgIiAjsCYAKSAsoDAgM0A2ADjQPBBAAESASPBM4FAQUpBUgFYgV5BYoFkwWWBZUFlQWaBaMFrgW3BbsFvAW+BcIFywXYBeYF9AYCBhAGHwYuBjoGQwZIBkkGSwZOBlEGUwZRBkkGPQYvBiQGHwYjBjAGRAZbBnAGfwaEBn8GbwZZBkEGLQYfBhkGHAYnBjkGTwZoBoEGmAatBsIG1gbrBwEHFwcrBz0HTQdbB2cHcgd8B4UHjQeWB6AHqQeyB7oHvwfEB8cHyAfFB78HtgeuB68HvwfcCAEIIgg2CDkIMQguCEAIcQjBCSEJfAm+CdwJ1QmzCYcJXglACS4JIgkRCPEIwAiBCD4IAQfLB48HMwaWBaMEXgLqAYIAZv/C/5z/0QAnAGIAYgAu/+//3AAiAM4ByQLgA9sEiwTbBNIEiQQfA64DSQL0ArECfQJWAjcCGwH5AckBigFAAPcAvwCiAJ8ArQC5ALQAmABoADD//f/V/7b/nP+E/3X/ff+sAAkAjAEfAaQCAgIsAikCDQHvAeAB5QH1Af4B7QG3AVoA5QBsAAr/0v/M//IAMgB2AK4A0QDkAPIBBAEeAT0BWgFvAXwBhwGVAawByAHkAfoCBwIPAhgCJwI+AlsCdwKLApYCmgKdAqYCuwLfAxADSQODA7YD3AP0BAAECAQUBCsEUQSEBL0E9gUnBU4FaQV6BYUFkQWjBcAF6gYeBlgGkgbFBuwHBgcRBxAHAwbuBtIGtAaYBoEGcwZtBmwGbwZzBnUGcQZlBk8GLgYDBdMFogV1BU0FJwUABNYEpwR2BEYEGAPtA8UDnwN+A2UDWgNgA3kDoQPSBAYENgReBHwEkQSeBKYEqgSvBLYEvgTHBM4EzQTABKcEgARPBBkD4wOvA4EDWQM2AxcC+wLiAswCuAKkApACegJgAkICIgIBAeABwwGpAZEBeQFhAUcBKwEOAPEA0wC2AJkAfgBlAE8AOgAlAAz/8P/S/7T/mP9//2j/Uf83/xj+9v7U/rX+mv5//l7+MP31/a/9af0z/Rz9K/1f/a39//5B/mT+ZP5J/iH9+/3f/c39vf2m/YT9W/0z/Rb9CP0G/Qf9APzt/NH8s/yc/JP8lfyd/KL8nvyR/H78afxT/Dz8IvwG++j7zvu9+7b7tfuz+6n7k/t1+1T7Ofsn+x77F/sM+vn63fq6+pP6bPpD+hv58vnN+a/5nPmS+Y/5jvmL+YP5ePls+WD5VvlL+UD5L/kZ+Pz42fiv+IP4Vvgs+Af35/fJ96n3hPda9y73BPbf9sP2rfaa9or2efZo9lj2SfY69ir2GPYE9e711vW+9aX1jvV49Wf1WvVR9Un1QPU09ST1FfUI9P709vTr9Nn0v/Sd9Hj0VfQ39CD0DPP68+bz0PO486Hzi/N382bzVPNB8yvzEfL08tbyuPKb8n3yWvIx8gHxzPGW8WfxQPEi8Qrw8/Da8MDwpfCN8HjwZvBT8D/wKfAU8AHv8O/f78vvsu+T73LvUe8z7xbu+e7c7r3uoO6G7nHuYO5S7kPuNO4m7hnuDu4E7fjt6u3b7c3txe3G7c/t4O327g7uJu497lPuZ+547obuke6a7qHuqO6s7q7uru6s7qruqe6o7qjuqO6r7rLuwe7Z7vjvHe9F72zvle/B7/HwJPBa8I7wv/Dv8R7xT/GD8bnx8PIm8lzykvLL8wPzOfNo85DzsvPS8/j0KPRh9KL05fUm9WP1nPXR9gL2MPZZ9oD2p/bQ9v73Lvdf94/3vvfv+Cf4Zfip+Or5JPlQ+W75hfmZ+bH5z/nx+hL6L/pI+lz6cfqI+qX6yfry+yD7UvuK+8f8C/xW/Kj8/v1W/a3+AP5Q/p/+8v9K/6oAEAB8AOwBYAHZAlgC3QNiA+MEXATJBSkFfQXEBfwGIgY1BjsGPwZOBnQGtQcOB3IH1QguCHwIwgkJCVUJqAn8CkwKlQrWCxMLUguWC+EMMQyFDNgNJw1zDbkN+w45DnQOrA7iDxQPRQ91D6cP3BAVEFEQjRDHEP8RNBFpEZ8R1xIQEkYSehKtEuATFhNRE44TzRQJFEIUdxSqFNwVDRU9FW4VohXZFhUWUhaPFscW9hceFz4XVxdpF3MXdRdwF2kXZBdmF28XexeHF48XkReQF44XjReMF4sXiReGF4UXiReUF6MXsxfCF8wX0hfTF9AXyRfAF7gXthe8F8wX4Rf1GAEYAhf4F+gX1xfGF7UXoheMF3gXbRdvF4AXmBesF7MXqReVF4IXexeGF6EXxBflF/8YEBgaGB0YGRgKF+wXwheRF2EXORceFwsW/RbtFtoWwxarFpUWfhZlFkoWLRYTFgAV9hX2FfoV/hX8FfUV7hXvFf4WHhZMFn8WrhbOFtwW1xbEFq0WmBaLFocWiRaOFo0WhBZvFlAWKRYBFdoVuxWkFZMVhhV3FWIVRhUkFQIU4hTHFK4UkhRsFDoT+hOxE2YTHxLfEqYScRI8EgwR0hGYEWERLhEAENYQsBCNEHEQXhBUEFIQVBBTEEwQPhAoEA8P9A/bD8QPsA+eD48Pgg93D20PZw9jD2QPaA9wD3kPgQ+GD4kPiQ+GD4APdQ9kD04PNA8aDwMO8A7eDsoOsQ6TDnAOSA4fDfYNzg2oDYYNaw1XDUgNOQ0nDQ0M7AzGDKAMfQxcDDwMGAvvC8ILlQtrC0cLLAsXCwYK9wrnCtUKwgqvCp0KjgqCCncKbgplClsKUgpJCj8KNQoqCh0KDwoDCfkJ8AnlCdMJtwmUCW0JSQkvCRwJDgj8COAIuQiKCFwIMwgTB/gH3wfEB6UHhQdlB0cHLAcQBvQG1wa8BqUGkgaEBngGawZdBksGOgYpBhsGDwYGBf0F9AXqBd4F0AW/BasFlAV4BVkFNQUPBOYEvQSUBGwESgQuBBwEFQQWBBkEGAQKA+0DwQONA1cDJgL9AtwCwQKnAo8CfAJuAmkCaAJqAmcCXAJKAjMCHAIGAfQB5AHSAbwBogGEAWEBPAEWAO4AxgChAIAAZwBUAEcAOwAvACAAD//9/+n/0/+4/5b/bf8+/wv+2P6m/nP+PP3//bv9b/0g/NH8iPxI/BP77fvW+8/72Pvw/BP8Pvxp/Iz8n/yb/H38SPwE+7v7d/s++xD65/q9+o36U/oU+dT5mvlo+T75Gfjz+Mv4n/hu+Dv4CffZ96z3g/de9z/3JPcN9vb23Pa99pf2bfZD9h72AvXw9eT12vXN9bn1n/WC9WX1SfUs9Qz05vS69In0V/Qo8/7z2fO385fzdfNS8yzzBPLc8rTykPJy8l3yUPJH8j7yMPIb8gDx4vHG8a/xnfGR8YnxhPGC8YPxh/GN8ZXxnPGh8aLxn/GX8YvxfvFx8WfxYPFa8VTxTPFE8TzxNvEy8S/xKvEg8RDw/PDm8NHww/C+8Mrw6/Ej8W/xwfIK8jnyRPIt8f/xyvGc8XnxX/FK8TPxHfEK8QDxAvEK8RXxHPEf8SLxKfE38UzxZPF68YrxlfGd8aPxqfGu8bLxtPG18bfxufG68bfxrvGd8YTxZPE78Qvw2PCl8HnwWvBL8E3wXPBx8IrwpPC+8Nzw/vEm8VXxivHD8fvyLfJT8mvyd/J/8ovyo/LG8u/zE/Mr8zjzQ/NU83DzlPOv87PzlfNd8x3y8fLt8xnzavPL9Cj0d/S79P71TfWr9hH2dfbL9w73Qvdu95j3w/fu+Bf4PPhf+IX4sPjh+RP5Q/lv+Zf5wfnv+iL6W/qX+tD7Bvs3+2X7kvu9++n8E/w8/GL8hvyq/M/8+f0p/V39kv3F/fT+If5Q/oX+wP8A/0H/ff+1/+wAJgBlAKcA5gEfAU4BdwGcAcIB5gIEAhgCIwIrAjkCVQKCArkC8wMoA1cDhQO4A/MENQR3BLIE5AUNBS4FSwViBXMFfAV/BYMFjAWcBbMFygXdBekF7wXzBfgF/wYIBhAGFgYdBiYGMwZFBlcGZwZzBnoGfwaDBoYGiAaHBoAGdAZkBlMGRQY+BkEGTQZhBncGigaTBpAGfwZlBkcGKwYWBgsGCgYRBh8GMQZFBlkGbwaGBqEGvwbfBv4HGQcuBz0HRwdOB1YHXwdpB3MHfgeJB5UHoQesB7UHvAfBB8YHywfNB80HygfHB8wH3Qf6CB0IPAhLCEgIPQg5CE0IgQjSCTAJiAnGCeQJ4gnJCaQJfAlYCTkJHQj/CNgIowhfCA8HuQdhBwEGiQXfBPMDxgJ3ATgARP/G/8QAHgCYAPMBCADSAHAAF//1ACcAqAFfAiQC0QNPA5MDowOLA1kDGwLbAp8CbQJFAiYCCgHrAcEBigFKAQkA0gCsAJgAkgCOAIEAaQBHACYAEAAHAAoAEwAeACoAQgBuALQBDgFsAbsB6AHuAdUBrwGQAYoBowHVAg8CPAJGAh4BwQE/ALEAOf/w/+IACABLAJAAxQDkAPIA/QEPASsBSgFkAXUBgAGIAZcBrQHHAeAB8wIBAg4CHwI3AlQCcgKLAp0CqAKyAsEC2QL+Ay4DZQObA8kD6wP/BAoEEwQiBDwEYASMBLsE5wUPBTQFWAV7BZ8FwwXqBhUGRgZ8BrYG7gcfB0QHWgdgB1MHNAcCBsAGdQYpBeUFsQWRBYIFggWIBZEFlwWVBYkFbwVJBRkE5QSyBIMEVwQtBAID1QOqA4IDYANHAzQDKgMpAzMDSgNwA6QD4AQcBFIEegSVBKIEpgSkBKAEngShBKkEtgTFBNME2wTXBMYEpgR7BEkEFAPgA60DfgNSAycC/wLaArcCmQJ+AmYCUAI4Ah8CAgHiAcIBogGEAWcBSwEvARMA+ADdAMQAqwCPAHEAUAAuAA7/8v/a/8X/sP+X/3v/Xf9A/yj/Ev7+/uj+zv6w/pH+df5c/kT+J/39/cT9f/04/QD85/z2/Sv9dv3B/fn+D/4D/eH9tv2R/XT9Xv1H/Sv9Cfzq/NT8y/zK/Mr8wfys/I/8c/xj/GX8dPyI/JX8kvyA/GT8RPwn/A379PvZ+777pvuW+5D7kPuR+4r7ePtb+zv7H/sM+wH6+/rz+ub61Pq/+qn6k/p6+lr6NPoM+ef5y/m7+bX5svmu+ab5mvmN+X/5cfli+U/5OPkd+P742/i1+I34Yvg4+BD37PfL96r3hvdf9zT3DPbo9sz2uPap9pv2jvZ+9m72XfZM9j32LfYe9gz1+PXg9cb1rPWV9Yb1f/V/9X/1fPVz9WT1VfVK9UP1PvU19SL1A/TZ9Kv0gPRc9ED0KfQU8/7z5/PQ87nzo/OQ83/zb/Ng81DzPfMn8wry5vK+8pLyZfI28gfx2fGv8YvxbvFX8ULxLPER8PTw1fC68KPwkfCA8G/wXfBL8DnwKPAW8AHv5u/F76Hvfu9d7z/vI+8H7uvuz+617p7uie517mPuUu5C7jXuKu4e7hLuBO327ezt6O3q7fLt/u4L7hnuKu4+7lPuae587ovul+6g7qjur+607rXus+6u7qnup+6o7q3utO6+7s3u4u797x/vRO9p74zvr+/U7/3wKfBY8Ifws/Df8Q3xP/F28bDx6/Il8l7ymPLU8xDzSfN686Lzw/Pi9Af0NfRt9Kz07PUp9WL1mfXO9gL2MvZe9of2rvbX9wX3Nvdo95X3vPfg+Ab4Mvhn+KD42fkM+TT5Uvlq+YD5lfms+cL52Pnu+gT6G/o1+lL6dPqe+tH7EPtZ+6j7+vxL/Jj84/0v/X39z/4k/nr+0P8n/4D/3QA/AKkBHAGXAhoCoQMoA6kEIQSPBPMFTQWbBdwGCQYiBigGJwYvBk0GigbjB0wHtwgYCGsIsgj1CTwJigndCi8KewrACwALPguBC8kMFgxmDLYNBQ1RDZgN3Q4eDlwOlw7ODwIPMw9jD5QPyhAFEEIQgRC9EPQRKBFaEYwRwRH4Ei4SYhKWEsoTAhM+E34TvhP9FDgUbxShFNEU/xUtFVwVkBXJFggWShaKFsMW8xcZFzYXTBdaF2EXYRdbF1YXVBdbF2kXeReIF48XjheJF4IXfhd8F3sXexd+F4UXkhejF7cXxxfSF9YX1hfVF9MX0BfLF8YXxBfIF9QX5Rf3GAMYAxf6F+oX2hfMF74XrheaF4cXehd8F4sXoxe5F8EXuhenF5UXjxebF7YX1xfzGAYYDhgPGAoYABfrF8cXlhdfFywXChb7Fv4XBxcLFwMW7BbJFp8WdhZRFjEWGBYGFfsV9xX5Ff0WABYDFggWEhYmFkcWcRaeFsQW3hblFtwWxxavFpsWjxaMFo4WkhaTFo4WgRZtFlMWNRYVFfUV1xW9FaYVjhV0FVQVLxUJFOYUyxS5FKsUmhR8FEwUCxO+E24TIxLiEqoSdxJDEgIRyRGQEVwRLhEFEOAQuxCVEHIQVBBAEDYQNRA3EDYQMBAiEA4P9Q/aD78Ppw+TD4MPeA9vD2gPXw9WD08PSw9OD1YPYQ9sD3UPeQ95D3UPbw9mD1kPSg84DyYPEg79DuUOyA6oDoUOYQ4+DhsN+A3WDbUNmQ2CDXANXw1LDS8NCQzcDKwMfwxXDDMMEgvvC8sLpwuFC2oLVgtKC0MLOwswCx8LCgrzCt8K0ArHCsIKvQq1CqoKmwqMCn4KcApiClIKQgoyCiUKGQoLCfgJ3Am4CZIJcQlZCUkJOgkjCP4IzAiTCF0IMAgPB/YH3wfEB6QHgQdfB0EHJQcJBuwGzgayBpoGigaABnkGcAZkBlMGQQYxBiUGHQYXBg8GAQXsBdAFsAWOBWsFSAUkBQAE2wS4BJUEdQRVBDUEFAP3A+AD1APUA9sD4gPfA8wDqAN4A0QDFgLxAtcCwwKzAqQClwKNAoUCfwJ3AmoCVwI+AiQCCgH0AeABzQG4AaEBhgFqAUsBKgEFANwAsQCIAGQASQA4AC4AKAAfABH//v/m/8v/r/+R/27/RP8T/tz+o/5r/jX9//3G/Yf9QPzz/KX8Xfwf+/D70vvE+8X70vvq/Ar8MPxU/G/8efxr/EX8CvvE+3/7QfsO+uL6tfqC+kb6BPnD+Yn5W/k2+Rf49vjP+KD4bfg3+AL30Peh93b3Tvcp9wr28PbY9sD2pPaC9lj2KvX+9dn1wfW29bP1s/Wt9Z71hPVk9UP1JfUI9Ov0yfSh9HP0Q/QU8+rzxPOh833zWfM18xLy8PLP8q7yjPJr8k3yNPIh8hHyAPHq8c7xrvGP8XbxY/FX8VDxS/FI8UXxQ/FC8UPxQ/FD8UHxPfE38THxK/El8SDxG/ET8Qnw/PDv8OPw3fDe8OPw6/Dv8O3w4vDP8Lfwn/CM8IjwmfDE8QfxWvGt8fDyFvIc8gnx5/HB8ZvxdfFN8SLw+PDX8MTwwfDL8Nrw6PDx8Pfw/vEJ8RnxLPE+8U/xXvFt8X/xk/Gp8b/x0vHh8ezx8fHw8efx2PHC8afxh/Fi8TXxA/DP8J7wePBf8FjwX/Bx8InwovC68NHw6/EK8THxYfGY8dLyCvI68mDyfPKT8qjyvfLR8uPy8PL88w3zKfNQ833zpPO386zzhvNP8x3zAPMD8yXzXvOk8/D0QvSd9Qb1efXt9lb2q/bo9xP3Nvda94L3rPfU9/j4Gvg++Gn4m/jQ+QP5MPlY+YD5rfnh+h36XPqY+tD7Avsx+1/7jvu8++r8F/xC/G38lvy+/OT9C/00/WD9kP3C/fP+Iv5S/ob+vf75/zf/df+w/+0ALQBzALwBAgFAAXMBnAHBAeQCBwImAj0CSgJTAmACeAKgAtIDCAM8A2oDlgPFA/kEMgRrBJ8EzATxBREFLQVEBVcFZAVxBYIFmwW9BeQGCAYjBjIGOAY5BjoGPQZABkMGRAZGBksGVgZmBngGiQaXBqIGqwa0BrwGwwbEBr0GrgaWBnkGXQZHBj4GRAZZBngGlgarBq4GngZ/BlgGMgYWBgUGAAYGBhMGIwY1BkgGXAZ0BpAGsQbTBvMHDAceBygHLwc2Bz8HSgdWB2IHbQd3B4MHkAeeB6kHsge6B8EHyQfQB9UH1wfZB+AH8wgRCDYIVwhqCG0IZghjCHUIowjqCTwJiAnBCd8J5QnVCbcJjwliCTUJDAjmCL8Iigg+B9MHSgarBfwFPgRsA4ACfAF0AI3/7/+3/+cAYgD4AXQBsgGnAWIBBACuAHYAaQCEAL4BDAFhAbMB+QItAkwCWQJXAkwCOgIjAggB6AHFAZ8BdwFOASUA/wDeAMMArwCfAJAAfwBxAGgAawB9AJkAugDWAOwA+wEIARoBLgFCAU4BTAE7AR8BAgDsAOkA/wEwAXoB0AIcAkYCOAHpAWYA0ABN//7/8QAbAGIAqADZAPIA/wEMASIBQAFeAXQBgQGGAY0BmgGtAcMB2AHpAfkCCwIkAkECYQJ+ApcCqgK7AtAC7AMRAz4DbwOeA8UD4gP2BAUEFgQtBEwEcASVBLkE3AUDBTMFbgWwBfUGNQZtBpwGxQbqBwsHJwc4BzsHLwcTBucGqgZbBfsFkQUnBMkEfwRPBDcEMQQ2BD8ESARMBEgEOwQkBAUD5APDA6YDjQN1A14DRgMwAyADGQMeAywDQQNbA3oDngPFA/AEGwRABF4EcQR7BH4EfQR5BHYEcwRyBHMEeQSCBI0ElgSZBJUEhgRvBE4EKAP8A8wDmgNlAzIDAALSAqgCggJgAkICJwIQAfkB4QHIAawBjgFtAUsBKAEFAOIAwQCjAIkAcQBXADkAFv/w/8z/rP+T/4D/bv9Z/z//IP8A/uX+0P7A/rH+nv6F/mf+Sf4t/hf+Af3m/b79hP09/PX8vfym/Lj87v05/YL9s/3C/a/9hP1S/SX9Avzq/Nf8x/y5/K38pPya/Iz8d/xc/EH8L/wt/D38Wfx0/IP8fvxl/EH8Gvv4+937xvuv+5j7g/tz+2z7bPtu+2r7WvtB+yL7BPrt+t760/rJ+r76tPqt+qv6qfqj+pP6d/pT+i36DPn2+ej53/nW+cr5u/mq+Zf5gvlp+Uv5K/kK+Or4zfiv+I/4a/hD+Br38/fP96z3ifdl9z/3Gvb69uD2zfbA9rT2qPaZ9on2d/Zk9lP2Q/Y29in2GvYH9e/11fW+9a71qvWu9bb1ufW19aj1mfWN9YX1f/Vz9Vv1NfUD9M70nvR39Fv0RfQz9CD0DvP88+rz2vPJ87rzqvOd85Dzf/No80bzGPLh8qfycPI+8hTx8fHS8bjxofGN8XnxY/FJ8SrxC/Dt8NTwv/Cs8JvwivB48GbwVPBB8CvwEO/y79HvsO+S73XvWu8+7yHvBO7n7svuse6Z7oLube5b7kvuPe4u7h/uEO4E7f7t/e4D7gvuFO4c7iXuMu5E7lrucO6D7pHumO6d7qLuqO6s7q/uru6r7qnuqe6u7rfuw+7R7uHu9+8S7zPvVu9475fvs+/Q7/DwFvA/8GvwmPDF8PTxKPFh8Z3x2vIW8lHyjvLL8wnzRPN386Hzw/Pk9Ar0N/Rt9Kb03/UW9Uv1gfW49fL2KfZa9ob2rvbX9wX3OPdq95f3u/fW9+/4C/gw+F74kfjD+O75Efks+UL5U/ll+Xj5kPms+c357/oQ+i76S/pt+pv62fsn+4D73Pwz/IP8zv0c/XD9zP4s/o3+6P89/4//4QA6AJ0BCQF+AfoCeQL5A3UD6gRWBLgFEAVeBaEF1AX2BgkGEwYiBkIGewbOBzMHnggACFUInQjdCR8JZgm0CgUKVAqfCuYLKQtsC68L9Qw9DIcM0w0fDWsNtA35DjoOdw6xDucPGg9ND4EPuA/yEDAQbhCoEN4RDxE9EWsRnRHSEgkSQRJ5ErES6xMnE2UTpBPhFBwUVBSJFLwU7RUcFUsVfRW1FfIWNBZ1FrAW4hcIFyYXOxdKF1IXUxdRF08XURdcF20XfheKF40Xhxd8F3IXbBdsF24Xcxd6F4UXlReoF7oXxxfNF8wXyRfHF8kXzBfOF84XzBfMF9IX3hfqF/MX9BfsF+EX1RfMF8MXtxelF5EXfxd5F38XjxegF6kXphecF5QXlxeqF8YX4xf2F/sX9RfqF+AX1xfKF7MXjxdiFzYXFRcHFwgXEBcUFwoW7xbIFpwWdRZXFkUWPRY8Fj4WQRZDFkUWSRZRFmAWdxaWFrgW2BbxFv4W/RbxFt4Wyha5FqwWpBaeFpcWjhaBFnMWZBZWFkYWMxYdFgMV6BXMFbIVlhV3FVMVKRT+FNgUvBSrFKEUkxR5FEwUCxO8E2oTHRLaEqASbRI5EeYRshGCEVcRNBEUEPYQ1BCtEIQQXxBCEDAQKhAqECsQKRAfEA8P+g/hD8cPrg+ZD4oPgA97D3cPcg9pD14PVQ9PD1EPVw9hD2kPbg9wD3APbw9sD2gPYg9ZD00PPw8rDxMO9Q7RDqsOgw5eDjsOGg35DdoNvQ2mDZINgQ1tDVINLAz8DMcMkAxdDC8MBgvhC78LnguCC24LYwtjC2gLbgtwC2kLWQtFCzILIwsaCxQLDAr/CuwK1grACqwKmwqKCngKYwpOCjwKLQofCg4J9QnWCbIJkQl3CWEJTAkuCQUI0AiWCGAINQgVB/wH5AfHB6YHgwdhB0MHJgcJBuoGygatBpYGiQaDBn8GegZuBl0GSwY8BjMGLwYrBiAGCwXpBbwFiwVbBS4FBQTfBLkElARwBFAENAQaBAAD5APHA68DnwOaA58DpgOmA5gDewNRAyQC/ALeAsoCvwK5ArMCrgKnAp4CkAJ8AmECQwIkAggB8AHcAckBtAGcAYEBZAFIASsBDQDrAMUAnAB0AFEAOAApACEAGwASAAL/6//O/67/jf9q/0L/Ev7a/pz+W/4e/ej9tv2E/U39DvzH/H38OfwB+9z7yPvF+8v72fvr/AH8Gvwz/Ef8TfxA/Bv74vue+1n7Gvrj+rD6efo7+ff5sflz+UH5HvkE+Or4yfie+Gj4L/f298H3kvdn90D3G/b79t72xvaw9pn2ffZb9jP2CPXf9b31p/Wb9Zf1k/WI9XP1VfUy9RH09fTf9Mn0r/SN9GP0NvQK8+Pzv/Oc83fzT/Mo8wPy4vLE8qXyg/Jd8jXyEfHz8dzxyPGz8ZrxfvFg8UfxNPEo8R/xF/EO8QTw+vDx8Orw5fDi8N/w3fDc8Nzw3fDd8Nvw1/DO8MHwsfCg8JLwifCI8I/wmvCk8KrwqPCf8I/wffBu8GjwcfCO8MHxBfFR8ZjxzvHt8fTx5vHJ8aDxbvE18PrwxfCd8IjwhvCS8KPws/C98MLwx/DQ8N7w8PED8RXxJvE38UrxYPF88ZzxvvHf8fryDPIS8gzx/PHk8cfxqPGG8WDxNvEJ8NvwsvCR8H3wdvB88IzwofC48M7w4vD58RTxOfFn8Z/x2/IX8k/yf/Kj8rvyxfLE8r3yu/LF8uPzEvNI83jzk/OS83nzVPMy8yLzKPND82zznPPV9Bj0bfTV9Uz1xPYx9oX2v/bk9wD3HvdF93L3oPfJ9+z4Dfgy+GD4lfjL+P35KPlP+Xj5qvnm+in6avqk+tb7Avst+1r7i/u++/D8IfxR/H78p/zM/Ov9B/0k/Uf9cP2h/dX+Cf48/m/+pP7e/xr/Wf+Y/9kAHABkAK0A8wEwAWMBjAGyAdoCBgI0Al8CgAKbArMCzwL0AyADUQOAA6sD1AP+BCwEXQSOBLsE4QUCBR4FOAVQBWcFfgWYBbkF4gYRBj8GYwZ5Bn4GdwZrBmEGXQZeBmMGaQZwBnkGhQaSBqAGrAa4BsMG0AbeBusG9gb5BvMG4AbCBp0GdQZTBkAGQQZYBn4GpwbGBtIGxAahBnMGRAYdBgUF+wX/BgsGHAYvBkMGWAZwBooGpgbCBtoG7Qb5BwEHCgcXBycHOgdKB1YHXwdmB3AHfgeNB5wHpwewB7kHwwfNB9cH3gfkB+4IAQghCEgIbwiKCJYIlwiYCKcIygkACUEJfgmtCcoJ1AnNCbYJkglmCTYJCAjdCK0IaQf+B2IGlQWlBKUDpQKxAc8BBABc/+r/v//jAE0A4AF4AfICPAJQAjkCAQG0AVoA+QCcAE8AHwARACUAUwCPANIBFAFTAYsBtwHRAdYByQGxAZYBfwFrAVYBPgEhAQQA6gDXAMwAxgDEAMQAygDZAPIBEAEsAT4BRAE/ATIBIQENAPkA5QDSAMMAtgCrAKMAoQCvANoBJwGOAfcCOwI7Ae0BYAC/ADr/9P/4ADEAfwDCAOwA/gEHARQBLAFJAWQBdwGCAYwBmQGrAb8B0QHgAewB+wIPAioCSgJqAoYCngK1As0C7AMTA0ADbwObA8AD3APxBAYEHwRABGkElQTBBOsFGAVOBZEF4AYzBn8GuQbcBuwG7wbtBuYG2Aa9BpIGVgYLBbQFUwTpBHkEBwObA0EC/wLYAsoCzQLaAuoC+QMGAxADFQMWAxUDFQMXAx4DKAMyAzoDPwNEA00DXQN2A5UDtwPXA/MECwQeBC4EOwRDBEcERwRGBEQEQgQ/BDsENAQqBCEEGQQXBBkEHgQkBCgEJwQhBBMD/gPgA7kDigNWAyEC7wLDApsCdgJRAi4CDQHuAdQBvAGlAY0BcQFSAS8BCQDiALoAkwBuAE0ALgAR//L/0P+s/4j/af9Q/zz/Kv8V/vv+3f6//qX+kP6A/nP+Yv5M/jH+Ev31/dz9yP20/Zr9cP00/Ov8ovxs/Fn8c/yy/QT9T/19/YP9Yv0q/Oz8ufya/Iz8i/yO/I38hPxx/FT8MvwR+/n78fv9/Bj8O/xY/Gb8X/xG/CL7+/vZ+777p/uR+3r7ZPtS+0n7R/tI+0b7O/sm+wz68PrZ+sf6ufqs+qH6mfqX+pz6pPqq+qf6mfqC+mX6Svo0+iL6Efn9+ef5z/m4+aD5hvlq+Un5J/kG+On40Pi3+Jv4efhQ+CT3+ffS9633ivdo90b3J/cM9vj26fbe9tT2yva+9rD2n/aN9nz2bfZi9lv2VPZI9jT2G/YA9ev14vXj9ev18fXv9eX11vXI9b71s/Wi9YT1WPUj9Oz0vfSZ9ID0bfRc9Ev0O/Qu9CP0GvQR9Abz+fPr89vzx/Op837zRvMG8sTyifJY8jPyFfH88eTxzvG58aXxkfF78WHxRfEp8Q/w9/Di8M7wu/Cn8JTwgPBr8FTwOfAc7/3v4O/E76rvkO9171jvOe8b7v3u4e7G7qvuk+587mfuVO5B7i/uHu4R7gvuC+4Q7hfuH+4m7i7uO+5N7mLudu6G7o/uku6S7pPul+6c7qHupO6m7qjuru647sPuz+7b7uju+O8P7y3vUO9y75Pvr+/J7+XwBfAr8Fbwg/Cz8ObxG/FS8YvxxvH/8jnydPKy8u/zK/Nf84zzs/PY9AH0L/Rk9Jr00PUE9Tf1bPWk9d/2GPZM9nn2o/bO9vz3L/dh94z3rPfE99b37PgJ+C74WfiE+Kv4zPjm+Pv5Dfkg+Tj5V/l/+a753/oK+i36R/pg+oH6s/r6+1D7r/wP/G38yv0s/Zb+Bf50/tz/N/+G/9EAHABvAMoBKwGPAfYCYQLQA0MDuAQnBIwE5QUwBXEFpwXVBfsGHAY+BmcGngbmBzsHlgfvCD4IggjACPwJPAmDCdEKIgpzCsMLDwtVC5cL1wwWDFgMoAzsDTsNiA3QDhIOTw6IDsAO9w8uD2UPng/YEBQQUBCLEMEQ8xEiEVERgxG5EfISLRJoEqIS2xMUE04TiBPBE/sUNBRuFKYU3BUPFT8VbxWkFd4WHhZgFp0W0hb7FxoXMRdAF0kXTBdLF0oXThdZF2kXeReDF4QXfhd0F20XbRdyF3oXgheIF5AXmhemF7IXuhe8F7kXtRe0F7kXwRfJF84XzhfOF9EX1xffF+UX5RfgF9cXzhfHF8AXtRejF4wXdxdqF2sXeBeJF5YXnBebF5oXoRexF8YX2BffF9cXxxe4F7EXtBe7F74XsxeaF3cXUxc2FyMXFhcKFvkW4RbEFqkWmBaSFpoWqha9Fs0W1hbaFtsW3RblFvMXBxcbFyoXMBcrFxwXCBbzFuEW0xbJFsAWtRakFpAWeBZhFk4WQRY5FjEWJRYTFfoV3xXEFawVlhV9FV4VNxUKFN4UuRSfFI0UexRhFDcT+xOxE2ATERLKEooSURIbEdQRqBGBEV8RQxEpEQ4Q7hDIEJ8QdxBXEEMQOBA1EDQQMBAnEBoQCg/3D+IPzA+3D6UPmQ+UD5QPlA+QD4gPfA9xD2oPaA9qD24Pcg92D3gPeg96D3kPdg9yD20PZw9eD1APOA8WDuwOvQ6PDmMOPA4XDfUN1g26DaMNkA19DWcNSQ0hDO8Mtgx7DEEMCgvZC60LiAtsC1wLWQtjC3cLjgugC6kLpQuYC4ULcwtkC1ULRQswCxUK+grgCswKuwqqCpYKfQpjCksKOQosCh8KDgn0CdQJsAmMCWsJSQkkCPkIyAiWCGkIRAgmCAsH7wfPB6sHhwdkB0UHJgcHBuYGxgaqBpcGjQaJBocGgAZzBmEGUAZCBjsGOAYyBiMGBQXYBaAFZQUvBQAE2AS0BJEEbARHBCYECwPzA94DxwOuA5YDhAN6A3kDegN2A2gDTAMoAwEC3gLEArICqAKjAqACngKZAo8CfQJhAj8CGgH5Ad8BzAG8AasBlQF6AVoBOQEbAP4A4gDEAKMAgABdAD8AJgAVAAoAAP/z/+H/yf+t/47/bv9L/yH+7v6w/m3+Kf3q/bT9hf1X/ST85/yi/Fv8Gvvp+8z7wvvF+8772Pvi++z7+vwL/Bv8IvwY+/j7wvt++zX67/qw+nX6OPn2+bH5bfk0+Qn46vjR+LX4j/hd+CL35vet93z3Uvct9wz27vbU9r32qvaX9oL2aPZK9ib2AfXe9cD1qPWX9Yr1e/Vn9Uz1K/UK9O702fTJ9Ln0ovSC9Fn0LfQC89zzvPOc83nzUPMk8vry0/Kx8o/yavJA8hPx6vHH8a7xm/GI8XPxWfFA8SnxGfEO8QTw+fDq8NjwxvC38K3wpvCi8KDwofCl8Krwr/Cy8LHwrPCj8JXwg/Bx8F/wUvBL8EzwUfBZ8GDwY/Bj8GDwXvBf8GTwcfCJ8K3w3fEV8VDxhfGs8cDxvPGj8XXxOvD38LfwgfBf8FDwU/Bg8G7wd/B58HjwevCD8JXwr/DM8OnxA/EX8SnxPfFW8Xfxn/HK8fHyD/Ie8h/yE/H/8efxzfG08Zjxe/Fb8TfxEvDt8M3wtfCp8KrwtfDH8Nrw7PD98RDxK/FR8YPxvvH98jvycfKZ8q3yrvKj8pbylfKr8tjzEfNG82PzYfND8xvy/vL68xTzRvOD87/z9/Qx9HX0yfUr9ZP19fZG9oD2qfbK9u33F/dK93/3sPfY9/n4GvhA+G/4o/jX+Qb5L/lV+YD5tvn1+jj6ePqu+tr7Afso+1X7ifvB+/n8MPxk/JL8ufzY/O38/f0O/Sf9TP19/bb97/4m/lv+kP7H/wP/Qf+B/8IABQBMAJUA2gEYAUoBdAGbAccB/AI3AnMCqALUAvgDGwNBA2sDmQPGA/IEGwRFBHIEoATNBPYFGgU4BVMFbQWIBaYFxgXsBhgGSQZ6BqQGvwbGBrkGnwaCBmoGXwZgBmsGfAaPBqIGsQa9BscGzwbYBuMG8AcABw8HGQccBxUHBAbpBsYGngZ7BmMGXgZvBpAGuAbYBuQG2Aa1BoQGUQYkBgUF9wX2BgIGFAYqBkEGWAZvBoUGmwawBsAGzQbWBt8G7Ab/BxcHLwdCB00HUwdYB2EHcAeCB5QHoQerB7QHvgfLB9kH5QfvB/sIDggsCFUIfwiiCLcIvwjDCM4I6AkQCUAJbwmTCakJsQmrCZkJewlVCSoI/AjICIAIFQd1BpoFjARfAzACFQEhAF7/0/+I/4P/yABKAO8BlwIiAn8CrwK8ArYCogJ8AjsB2AFYAMwASf/g/5v/ef94/5T/ywAcAHwA4QE5AXkBnwGxAbgBuQG2AakBjwFrAUQBJAERAQkBBgD/APIA5ADbAN8A7QEBARMBHgEgARwBFAEKAP0A7gDgANgA1ADRAMYAsgCdAJoAvwETAYgB+wI8AioBwgEjAIIAE//vABIAXACoANwA9AD5AP4BCwEkAUEBXAFxAYUBmQGvAcQB1QHfAeYB7wH/AhkCOgJcAnwClwKvAskC6AMPAz0DbQOcA8QD5QQDBCIESQR7BLYE+AU5BXkFuAX7BkEGhga9BtoG1QavBnUGNAX5BcYFlgVfBRgEwQRcA/ADggMVAqwCTAH6Ab4BnQGWAaYBxAHoAg0CLwJQAm4CigKkAr4C2gL6Ax4DRANpA4kDowO6A88D5wQABBsEMgREBE8EUwRTBE8ESAQ/BDUELAQjBBsEEwQLA/8D8QPfA80DvwO0A7ADrgOvA68DrQOqA6UDnAOLA3EDTAMgAvMCyAKjAoMCYwJCAh4B9wHSAbIBlgF9AWUBSgErAQkA5AC9AJUAawBBABn/8//Q/67/jf9r/0v/LP8Q/vf+3/7H/q3+lP57/mT+Uf4//iz+Gf4D/er9z/20/Zv9h/11/WP9SP0d/N78k/xJ/Bf8Dfwz/H782P0k/Uv9Rf0X/NX8lPxk/Ev8SPxP/FT8UPw9/B379/vU+777ufvH++T8Bfwh/C/8Lfwc/AL75PvJ+7D7mfuB+2n7UvtA+zP7Lvsr+yf7HfsM+vj65PrT+sf6vPqx+qX6mvqS+pD6lPqZ+pv6mfqR+of6e/pu+lz6Q/oj+f752fm4+Zz5hPls+VP5OPkf+Qb47vjT+LH4iPhZ+Cn3/PfT9673jPdr90z3Mvcf9xH3B/cA9vj28Pbn9t320fbD9rX2qfah9p/2nvaY9or2cvZU9jj2JfYd9h72IPYc9hH2AfXy9eX12PXG9aj1fvVM9Rz08/TV9L/0rPSY9IH0bPRd9FT0UfRP9En0PfQs9Bbz+vPV86XzavMp8ujyrvKA8lzyQPIn8g7x9fHf8czxuvGp8ZXxf/Fm8U3xNfEe8Qjw8fDc8MbwsfCa8IHwY/BE8CTwBu/r79PvvO+j74jva+9O7zLvFu777t/uw+6o7o7udu5f7knuNu4l7hvuFu4X7hvuIe4o7jHuPu5P7mLuc+5/7oXuhu6G7ojujO6S7pnunu6j7qnuse687sju0u7a7uLu7O797xjvOu9h74jvq+/J7+bwBfAo8FHwf/Cx8OTxGfFO8YPxufHv8ifyYPKc8tfzEvNH83fzo/PN8/r0K/Rh9Jn0z/UD9Tb1avWf9dX2CfY69mf2kva+9uz3GvdF92n3hved97T30ff1+B74SPht+Iz4pfi5+Mv43vj1+RH5Nvlk+Zr50voF+i36S/pk+oH6rPrq+zz7m/wE/HL86P1k/eX+Zf7c/0H/lf/eACQAcADEARwBcQHAAgoCVwKwAxgDjAQCBG4EygUUBVIFigXBBfoGMgZqBqAG2AcVB1cHngfmCCsIagimCN8JHAldCaUJ8wpGCpsK7gs7C4ALvwv6DDcMegzEDRENXg2kDeUOIA5ZDpMOzg8LD0cPgw++D/oQNxB0EK8Q5hEbEU8RhBG7EfQSLRJmEp4S1RMLE0ETeBOvE+YUHhRYFJMUzBUBFTQVZRWZFdQWFBZXFpYWzBb2FxYXLRc8F0UXSRdIF0YXSBdPF1wXaxd2F3oXehd4F3oXghePF5sXoxemF6UXphepF68Xsxe1F7MXsBexF7cXwRfMF9UX2RfcF98X5BfqF+4X7RfnF90X0hfHF7wXrReZF4MXbhdjF2YXdheMF6EXrBeuF6sXqResF7MXuRe4F64XoBeVF5cXphe+F9UX3xfVF7gXjRdfFzUXExb6FugW3BbWFtgW4xb5FxYXNhdTF2kXdBd2F3QXchd0F3kXfRd8F3EXWhc8FxoW/BbkFtQWyBa+FrIWoRaMFnMWWhZEFjMWKRYkFh0WEhX+FeQVxxWtFZoVjRV/FWwVTRUkFPUUxhSfFH8UZRRIFCET7ROrE2ATEBLDEn0SPhIGEeERuxGZEXsRYBFFESoRDBDqEMQQoBCAEGkQWxBSEEwQRBA7EDAQJhAbEA4P/Q/oD9IPwQ+4D7UPtw+4D7UPqw+eD5IPiQ+GD4cPiw+RD5cPmw+cD5kPkw+ND4oPig+MD4oPfg9jDzkPBg7ODpkOaQ4+DhcN8g3ODa4NlA1+DWsNVg07DRcM5wytDG0MKgvqC7ELgwtiC1ILUwtjC4ALogvBC9YL2wvTC8ALqAuPC3YLXQtCCyULCwr1CuUK2ArKCrUKmgp8CmAKSgo7CjAKIgoMCesJwgmUCWYJOQkOCOMIugiSCG4ITQgvCBEH8QfOB6oHhgdlB0QHJAcDBuMGxgavBqEGmgaVBpAGhgZ3BmYGVwZMBkYGQAY1Bh4F+AXEBYcFSgUUBOgEwwSjBIIEXgQ6BBgD/APlA9EDvAOmA48DewNtA2UDXwNWA0UDLAMOAu4C0AK2AqACjQJ9AnICagJkAlsCSgIxAhAB7gHQAbkBqQGbAYsBdAFWATQBEADvANAAtACYAHsAXgBAACQAC//1/+L/0f+//6z/mP+C/2v/Uv80/w3+3P6g/l/+Hv3h/az9fP1L/RP80fyI/ED8AfvU+7v7tPu4+7/7xPvH+8v70vvf++v78Pvk+8L7ivtD+vb6rvpt+jL5+Pm8+X35QfkL+OD4vvif+Hv4TvgX99r3n/dq9z73Gfb79uD2yva39qf2mfaK9nb2XvZA9iH2APXh9cX1q/WT9X31aPVQ9Tf1HfUD9O302/TL9Lj0nvR69E30HfPv88nzqfOM82vzRPMY8unyvvKW8nDySvIg8fXxzfGs8ZTxgfFu8VnxQPEo8RXxCPEA8Pjw6/DZ8MLwrPCa8I3whPB/8H3wfvCC8InwkPCU8JTwj/CF8HjwafBY8EbwNvAq8CTwJPAo8C3wM/A58EDwS/Bb8G/whfCc8LPwzvDu8RPxOvFb8W7xbfFT8SPw4/Cg8GTwOPAh8BzwJPAw8DnwOvA28DHwMvA98FTwdfCb8MDw4PD58Q7xIfE68Vrxg/Gu8dfx9vII8g3yCfH/8fPx5/Hb8c7xwfGw8ZzxgvFg8TvxFvD48Obw4fDl8PDw/PEJ8RnxMfFS8XzxrfHi8hXyQvJl8nnyf/J98n7yjfKw8uLzFfM28zfzGfLq8sLytvLS8w/zXvOw8/n0O/R89MP1EvVk9bL19PYp9lb2f/as9uD3GPdR94f3tvfe+AP4KPhR+ID4sfji+Q75Nvle+Yn5vfn5+jn6dvqr+tf6/vsn+1f7jvvL/Ar8Rvx8/Kz80fzs/P39CP0V/Sz9UP2D/b/9/f44/nD+pf7b/xP/Tf+J/8gACQBQAJoA4wEjAVgBgwGqAdMCBAI9AngCsALgAwoDMANZA4UDtQPkBBIEPgRqBJgExwT1BR8FRAVlBYQFpAXGBesGEgY8BmkGmAbFBukG/Qb8BuYGwgaaBnkGaAZnBnYGjQanBr4GzwbbBuMG6gbzBv8HDQcbByYHLActBygHHgcNBvYG2ga+BqcGnAafBrEGyQbeBuUG2Qa6Bo0GWwYuBgsF9wXzBf0GEAYoBkAGWAZtBoEGlQanBrcGxAbPBtoG6Ab8BxMHKQc5B0IHRwdMB1gHageBB5YHpQevB7gHwwfSB+MH8wgACAwIHgg7CGEIjQi0CNAI3gjlCO4JAQkfCUQJaAmDCZIJkwmGCW4JTQkoCP8I0AiQCC8HmgbFBbIEcwMlAekA1//+/2b/E/8M/1P/4wCnAX0CPALFAwwDHgMUAwQC+wLvAtECkQIrAakBGwCQABP/qf9W/yD/E/8z/4D/6wBjANQBNgGDAb8B6QH/AfwB4gG4AY0BbAFbAVMBSQEyAQ0A4gC/AK4ArwC6AMgA0wDeAOwA/gEOARYBDwD+AOsA4QDfAN4A0wC7AKIAogDQAS8BpQIEAiAB5AFhAMUARgAKABgAWACiANoA9AD3APcA/wETAS4BSQFfAXEBhAGZAa0BvAHGAc4B2AHtAg0CNQJfAoUCpQK/AtoC+AMeA0wDfwOyA+QEEgQ+BG8EqATrBTgFhwXUBhkGVQaHBqsGuwaqBnAGDAWJBPsEdgQKA7kDfANEAwYCvQJsAhgByQGAAUABDADoANkA4QD/AS4BaAGlAeMCHgJXAosCuwLmAw0DMwNaA4QDrwPXA/sEGQQyBEYEWARnBHMEegR8BHkEcgRoBF0EUgREBDYEKAQYBAkD+APmA9IDvQOoA5QDgwN3A20DYwNXA0sDPQMyAyoDJAMcAw4C9wLWArICjgJuAlMCOQIcAfoB1QGvAY4BcQFXAT0BIAD/ANsAtgCQAGoAQgAY/+7/xv+f/3v/Wv85/xn++f7Z/rn+mf58/mD+Sf42/iT+Ev39/eT9yv2w/Zn9g/1t/Vf9Qf0v/SD9EPz2/Mr8ifw7+/L7xvvH+/j8S/yn/PD9Ev0G/Nb8lPxU/CP8CPwA/AP8Bfv9++n7y/uq+5D7g/uG+5b7rvvF+9b73/ve+9b7yPu3+6X7kft8+2j7VftG+zn7L/sl+xj7CPr2+uX62PrR+s76zfrH+rz6rfqd+pD6h/qD+oP6hfqI+o36kfqP+oP6afpD+hX56PnB+aP5jPl5+Wf5VflB+Sv5Efjv+MT4kfhc+Cv3//fb97n3mfd591z3Rfc29y/3Kvcm9x/3F/cP9wj3Afb59vD25/bj9uL24/bh9tb2wPah9oL2afZa9lP2TvZF9jX2I/YR9gP19/Xo9dH1sPWI9WL1QfUn9RL0+/Tg9MP0qPSU9Ir0h/SE9Hv0avRR9DL0DvPk87TzffNC8wjy1PKp8ofya/JS8jvyJvIS8gHx8PHf8cvxtvGe8YbxbvFW8T7xJfEN8Pbw4PDK8LDwkvBw8E7wLvAT7/zv5+/Q77fvnO+A72TvSe8u7xLu9e7X7rnune6D7mruU+4/7i/uJO4e7h7uIu4p7jTuQu5S7mHube527nvufu6A7oTuiu6S7pjunu6i7qburO607r7ux+7P7tbu3+7t7wTvJe9O73nvo+/J7+rwCvAt8FTwgvC08OjxHfFS8YfxvPHz8iryY/Kd8tbzDvND83XzpPPT9AL0NPRp9J701PUI9Tv1bfWf9dH2AfYw9l32iva19t/3Bfcl9z73Vvdw95P3wvf5+DH4ZPiL+KX4tvjE+NT46PkA+R75Qvlq+Zj5yfn5+iX6TPpx+pv6z/sT+2b7xvwy/Kj9J/2v/jj+uf8p/4T/zgARAFkArgELAWoBvQH/AjQCagKuAwkDdwPtBFoEtQT6BTIFaAWkBeoGNAZ+BsMHAQc6B3EHqAfiCBwIVgiRCM0JCglICYsJ0wogCnEKxQsWC2ELpQvkDCIMYgynDO8NNg15DbYN8A4qDmgOqQ7sDy4PbQ+rD+oQKRBpEKkQ5hEfEVURihG+EfMSJxJbEo8SwxL6EzETaROfE9QUCBQ9FHMUqhThFRYVSxWEFcIWBBZHFoUWuhbjFwIXGhctFzwXRhdJF0gXSBdMF1UXYhdtF3UXehd/F4YXkxeiF68XtRe0F68XqxeqF64Xsxe4F7oXvBe/F8UXzxfbF+UX7RfyF/cX/BgBGAMYARf5F+sX3BfLF7sXqReWF4MXcxdsF3IXhBecF7EXvBe7F7EXpBebF5gXmReaF5cXkhePF5QXpBe8F9MX4BfaF74XkhdeFysXBBbrFuIW6Rb8FxkXPBdjF4gXqRfAF8wXzRfIF8AXuxe5F7cXsRehF4UXXxc0FwwW6xbRFr4WrRacFosWeRZnFlYWRBYzFiQWGBYPFggV/BXqFdEVtRWbFYkVfxV5FXAVXRU8FRAU3hSuFIMUXhQ7FBYT6BOvE2oTHhLQEoYSRhIPEgIR3hG9EZ0RfxFkEUoRMREWEPcQ1RC1EJoQhRB3EGwQYRBXEE8QSBBEED0QMRAfEAkP8w/kD94P3w/hD+EP2g/PD8MPuQ+zD7MPuA/AD8gPzg/PD8kPvw+zD6wPqw+wD7UPrw+bD3UPQg8JDtEOng5xDkYOHA3xDccNoQ2BDWoNVw1GDTANDwzgDKQMYAwZC9gLowt+C2sLawt7C5cLuQvZC/AL+AvxC9wLvgueC30LXgtCCykLFQsGCvwK8wrnCtQKuQqaCnsKYgpPCkAKLgoVCfEJxAmRCVwJKQj7CNEIqgiHCGQIQggfB/sH2Qe5B50HgwdpB04HMQcSBvUG3QbMBsAGtwauBqMGlAaFBncGbAZkBlsGTwY5BhcF6gW0BXoFQgURBOgExgSmBIcEZARBBCAEAwPqA9QDvQOmA48DegNqA10DUQNEAzMDHgMHAvAC2ALAAqQChgJnAkwCOAIrAiACFAICAeoBzwG2AaEBjwGAAW0BVgE5ARcA9ADRAK8AjwBxAFUAOQAfAAP/6P/M/7H/mf+D/3D/X/9Q/z//LP8U/vP+yP6V/l3+I/3s/bj9hP1L/Qr8wPxy/Cf76fu9+6X7nPuc+5/7ovuj+6b7rfu3+737ufuj+3f7OPrt+qH6XPoh+e75vfmK+VT5Hfjp+Lz4lPht+EL4D/fX95z3Zfc19w/28PbY9sT2tvaq9qH2l/aJ9nX2W/Y89hz1/PXd9b71oPWE9Wr1VPVB9TH1IfUP9Pv05vTP9LT0k/Rq9Dr0B/PX863zi/Nt807zKvMA8tPyp/J+8lfyMPII8d/xuvGb8YLxbvFZ8UDxJvEN8Prw7/Do8OHw1fDD8K3wmPCI8HvwcfBo8F/wWvBa8F7wZPBp8GnwZfBf8FbwTPA/8C/wHvAN8AHv/O/+8ATwDfAY8CbwOvBT8G/wivCg8K7wufDE8NTw6fD+8QzxCfDy8MbwjvBV8CbwCO/+8ALwDfAY8B3wHfAb8BvwIfAw8EXwX/B88JbwrvDC8NTw5/EA8SDxRvFt8Y/xqPG48cLxyfHQ8djx3/Hj8eTx4/Hg8drxzvG48Znxc/FN8S7xGPEM8QjxCfEQ8R7xM/FO8W/xkfGz8dXx9vIW8jLyR/JX8mfyfPKb8r7y3PLn8tvyvvKi8pnysfLr8znzjPPY9Br0WfSc9OT1LfVw9aj11fX99in2XfaX9tL3Cvc992z3m/fM9/74L/he+In4s/jd+Qf5Mflc+Yn5u/ny+i76avqj+tb7Bvs2+2v7pvvm/Cf8ZPya/Mj87v0L/SL9N/1P/W/9m/3R/g/+T/6M/sX++/8u/2H/lf/KAAMAQQCGAM4BFgFWAYsBtQHXAfoCIQJPAn8CsALcAwYDMANcA4sDuwPqBBcEQQRsBJkEyAT3BSMFTQV0BZwFxgXyBh4GSAZvBpYGvQbjBwUHGwcgBxEG8QbJBqYGkAaLBpYGqgbABtMG4AbpBvIG+wcIBxYHIwcvBzcHOwc9BzwHOQcyByYHFgcCBu8G3wbYBtkG4AbnBucG3QbFBqEGdQZIBiEGCAX/BgUGFgYtBkQGWQZsBn8GlQasBsMG1wbmBvIG/QcLBxkHJwcxBzYHOgdCB1IHaAeCB5kHqwe2B8EHzgfhB/UICAgXCCQINQhPCHQIoAjJCOkI/AkGCQ8JHQkzCU8JbAmECZAJjAl2CU4JGwjjCK0IdggyB8sHKQY+BQ8DtgJXARsAG/9k/vf+0v71/2AADQDnAc4CmgMqA3UDhQN2A2ADUQNGAzIDBwLAAmAB8AF6AP4Afv/9/4X/Kf73/vn/Lv+I//gAcADkAUwBoAHXAe4B6QHWAcUBwgHMAdgB1gG7AYcBSgEUAPAA3QDRAMMAswCqALAAxwDmAPwA+QDeALoAoACbAKgAtwC4AKwApAC6AP4BYwHFAfkB4AF+APcAfwA/AEIAdgC4AOoBAQEEAQMBCgEdATUBSAFSAVYBWwFmAXUBhwGZAawBwwHlAhECRAJ4AqgCzwLwAw8DMQNZA4kDvwP6BDUEcASqBOUFIgViBaMF3wYQBjAGPQY0BhQF2AV5BPMETQOUAt8CQwHNAYABUAEwARYA+gDgAMoAvAC1ALUAvADLAOYBDwFEAYIBxgIMAlICmALbAxoDUQN/A6QDwwPgA/wEGAQyBEoEXQRuBHwEhgSOBJEEkASMBIUEfQRzBGcEWQRKBDkEJwQUA/8D6QPSA7oDogOMA3cDZQNUA0MDMAMbAwMC6gLVAsUCvAK2Aq4CnwKIAmoCSwIuAhMB+gHeAb8BnQF7AV0BQwErARIA8wDRAKsAhABfADoAFf/v/8j/of97/1f/NP8S/vD+zv6s/oj+ZP5B/iL+Cf31/eX91P29/aH9gf1k/U39Of0m/RD8+Pzh/ND8xfy6/KP8d/w0++b7ovt++4b7uvwM/GP8qPzK/MP8mfxa/Bf74fvA+7T7tvu7+7f7pfuI+2f7TPs9+zv7RPtV+2n7ffuP+5z7ovuh+5r7jfuA+3P7Z/te+1P7Rfsz+xv7Afrp+tX6yvrI+sv6zvrN+sT6tfqj+pH6gvp3+nD6bfpv+nb6f/qG+oT6dvpc+jr6Fvn1+dj5vvmk+Yr5cflY+UD5I/j++ND4m/hm+Df4Effy99b3ufeZ93z3ZfdY91L3UPdO90j3P/c49zL3Lvcr9yj3JPch9yD3IPcc9xD2+vbd9sD2qPaZ9pD2iPZ79mn2U/Y+9i32IfYV9gT17PXO9a31j/Vz9Vr1QPUl9Qn08fTf9NP0yfS89Kf0iPRi9Df0DPPg87Lzg/NS8yHy9PLO8q7ylvKC8nLyZfJY8kryOfIk8gvx8fHX8b7xpfGM8XHxVfE58SHxC/D28N/wxPCl8IPwZPBI8DHwHPAF7+vvze+u75Dvc+9X7zvvHu8A7uHuw+6o7o3ude5e7kruO+4w7izuL+447kXuVO5j7m/ud+577nzufe5+7oDuhe6L7pDule6Y7pnum+6e7qTuru667sbu1O7k7vrvGO8+72rvl+/B7+bwCfAs8FTwgvC28O3xJfFc8ZPxzPIH8kLyffK28uzzIPNT84XztvPm9BT0QvRw9J70zfT99S71YfWT9cb1+PYp9ln2h/ax9tb28/cK9x33NPdV94b3x/gR+Fr4mPjE+N/47/j8+Q75KPlH+Wj5iPmn+cT55PoH+i/6XvqV+tb7IPtz+838LPyQ/P39cv3t/mn+2/87/4n/ygAMAFkAtwEgAYkB5AIrAmACkwLSAyQDhwPwBFEEnwTaBQwFPwV9BcgGHQZzBsUHDQdLB4IHtAfjCBQISAiACLwI/Ak8CXwJvQoBCkkKlgrnCzcLgwvKDA0MUAyTDNUNFw1UDY8Nyg4GDkcOjA7RDxUPVg+WD9UQFhBXEJcQ1BELET8RcBGhEdASABIvEl8SkxLLEwUTQBN3E6oT2RQHFDcUaRSeFNUVDxVMFY0V0BYSFkwWfRakFsUW4hb/FxsXMRdAF0cXSRdMF1MXXBdmF24Xcxd3F34XhxeTF50XoRehF5wXmReZF58XpxewF7gXvhfFF84X2hfmF/EX+hgAGAQYCRgMGA0YCRgAF/EX3xfNF7wXrBecF44Xghd8F38XiReZF6cXrxetF6MXlheMF4kXjBeRF5QXkxeQF44XkReZF6EXpBebF4MXYBc2Fw8W8hbkFukXABcmF1UXhxe0F9cX6xfwF+cX1hfEF7cXshe0F7gXtRelF4cXXxczFwsW6hbPFrcWnxaHFnIWYhZVFkoWOxYoFhIV/xXxFeoV5RXcFcoVsBWTFXsVbhVpFWcVXxVLFSgU+RTFFJIUYxQ4FBAT5ROyE3UTMBLnEqASYRItEh0R+BHWEbURlRF7EWURUhE9ESMRBBDiEMMQqxCbEI8QhRB7EHIQbBBpEGUQXxBSEEEQLxAhEBsQGxAeECAQHRAWEAwQAQ/6D/UP9Q/5D/8QBBAGEAAP9Q/mD9kP0Q/PD84Pxg+zD5EPZA8xDv4Ozw6kDnwOUg4nDfoNzA2iDX8NZQ1QDT4NJw0FDNUMmQxWDBcL4gu8C6gLpguxC8UL3wv3DAcMCwwBC+kLxwuhC3sLWgs+CykLGwsSCwwLBQr5CuYKzQqwCpMKeAphCksKNAoXCfIJxgmUCV8JKwj6CMwIogh5CE8IJAf4B9AHsAeaB40Hhgd+B3EHXAdEBywHFwcHBvoG7AbbBscGsgahBpUGjQaDBnQGWgY2BgkF1wWjBXEFQwUaBPYE1wS4BJkEeQRZBDgEGgP+A+QDywOyA5oDhQNxA2ADTwM+AysDGAMGAvYC5gLSArcCkwJsAkQCIgIJAfcB6QHaAckBtgGiAY0BegFnAVIBOwEgAQIA4AC7AJQAbwBMAC0AEf/2/9r/u/+b/3r/Xf9E/y//Hf8N/v3+6/7V/rn+l/5u/kH+Ev3i/bH9e/09/PX8pvxU/An7y/ue+4P7dvty+3T7ePt/+4n7lPub+5r7iftk+yz65fqa+lL6FPnh+bP5hflV+SD46/i4+Iv4Yfg2+Aj31Pec92T3MvcJ9un20vbB9rf2sfat9qj2oPaR9nr2XfY79hj19vXU9bL1kPVw9VT1QPUz9Sr1IfUT9P704/TD9KH0fPRU9Cfz9/PI853zePNX8zjzFvLw8sXymvJv8kbyHfH08crxpPGE8WrxVPE+8SXxCfDu8NfwyPC+8LXwqvCd8I/wg/B68HHwZ/BZ8EjwOvAx8C/wMfA08DTwMfAs8CfwIfAY8Ajv8u/b78fvve++78fv1u/o7/3wFvA08FPwb/CE8I/wkvCT8JfwoPCt8LbwtPCi8ILwWfAy8BbwCvAL8BXwH/Al8CfwKPAr8DTwQvBS8GHwbPBz8HfwevB+8ITwjvCf8Lfw1fDz8Q7xJfE58U3xZPF/8ZzxtPHF8c7x0vHV8djx2PHT8cTxrPGQ8XPxWfFD8TPxKfEl8SnxNfFH8Vnxa/F98ZTxs/HX8fzyGvIs8jLyM/Iz8jjyPvJF8kryVvJw8qHy6PM684rzzPQA9C70YfSe9OP1KPVh9Y71tfXg9hX2U/aR9sf28fcW90H3ePe7+AH4QPhx+JT4svjS+Pr5Kflc+Y75wfn2+i/6bfqs+uj7IftY+5H7z/wO/Ez8hfy0/N39A/0p/VL9gP2y/ej+If5d/pr+2P8U/03/g/+1/+UAEwBDAHUAqwDnASQBYAGWAcMB5wIHAicCSgJyApwCyAL0AyADTgN9A6wD2QQCBCgETQRzBJ0EygT3BSQFUAV+Ba4F4wYYBkoGdQaYBrYG0wbyBxMHLwc9BzgHIAb9BtoGwAa3BrwGygbaBucG8Qb6BwQHEAcfBywHOAdBB0oHUgdaB18HXwdZB04HPgctBxwHDQcBBvkG9QbzBvEG7AbdBsMGnQZwBkYGJgYXBhgGJgY6Bk0GXgZuBoIGmga4BtYG8AcDBxAHGAcgBycHLQcxBzMHNwc/B08HZgeAB5cHqge5B8gH2gfxCAkIHggvCD4IUAhqCI4ItwjfCP8JFQkiCSkJMgk+CVEJaQmCCZQJkwl2CTgI4Ah7CBwHyweCBycGnAXIBKkDVgH6AMX/2f9F/wX/Dv9U/88AdQE7AggCwANMA6IDxgPKA8ADswOgA4MDVAMUAscCdgIjAckBYADmAF7/2P9l/xj++P8I/z7/kf/0AFkAswD5AScBRQFiAYwBzQIdAmsCnwKqAo4CVgIVAdcBngFkASQA4wCuAJYAnQC4ANAA0QCzAIYAYQBXAGoAiwCnALUAvQDWARABZgG9Ae8B3QGKARIApQBnAGUAjwDEAOkA9QDxAO4A+QERASwBPQFCAT8BPQFGAVsBegGeAcMB6wIZAk4ChgK/AvMDIgNKA3ADmAPEA/cEMARuBKsE5QUWBT0FXAVyBX4FfwVuBUkFDgS+BFkD4gNYArwCFgFyAOEAcQAoAAT//AAEABUALABLAHMApADaAREBRwF9AbQB7QIoAmICmwLTAwsDQwN7A68D2wP+BBgEKwQ5BEYEUARZBGEEaARxBHoEgwSJBIwEiwSIBIMEfARyBGMEUgQ+BCoEFwQEA/ED2wPEA60DlQN+A2gDUQM7AyMDCwLyAtcCvAKiAosCegJtAmECUwI+AiUCCgHuAdQBuQGdAX0BXAE7AR8BBwDwANgAvACbAHgAUwAwAA3/6f/F/6H/fP9Y/zT/D/7p/sX+ov6A/l/+O/4V/fH90f25/ab9lf2A/WT9Q/0k/Qr89vzi/Mv8sPyU/H78cfxs/GT8Tvwi++P7nfth+0H7Rvtv+7L7//xC/Gr8bfxL/A/7zfuY+3r7c/t6+3/7d/tg+z77Gvr++u366Prw+wH7G/s7+1z7ePuL+5T7k/uM+4T7fPt0+2n7WPtB+yX7Bvrp+tL6xPq9+rz6vPq5+rP6qPqc+pH6hvp6+mz6X/pU+lD6U/pc+mj6cfp1+nP6bPpd+kb6JPn3+cX5lPlq+Un5K/kK+OP4tfiF+Fn4NvgZ9//34/fE96X3jfd+93f3dfdz93D3a/dm92T3ZPdl92b3Zvdm92X3YfdY90f3LvcS9vf25PbZ9tP2zvbD9rH2m/aE9m/2YPZT9kT2L/YU9fP10PWu9Y71dPVe9U31QPUz9SP1DfTt9MT0k/Rg9C70APPW863zhfNd8zbzEfLx8tbywvK08qvypfKe8pXyhvJw8lXyOPIb8gHx5/HM8a3xi/Fq8UzxM/Ee8Qrw8/DY8LrwnPCB8GnwUfA38Brv+e/W77TvlO9371vvP+8j7wbu6e7N7rPunO6G7nPuZO5Y7lLuU+5c7mnueO6F7o7uku6Q7ovuhe5/7nrueO557n3ugu6H7onuiO6H7onuke6f7rLuxu7c7vTvEe8272Hvju+67+HwBfAp8FPwg/C68PXxMPFq8aTx4fIg8l/ym/LT8wXzNPNk85TzxfP19CL0SvRw9JX0u/Tm9RX1R/V79bD14/YV9kT2b/aX9rn21vbv9wn3KfdW95L33fgu+Hz4vfjs+Qr5H/k0+VH5dvmh+cv57/oJ+hv6LPpC+mP6lvrb+y77i/vp/EX8nPzx/Uj9pf4I/m3+zP8e/2T/o//mADUAlAD/AWsBzQIfAmUCqQLzA0gDpQP/BE0EiwS8BOoFHgVeBawGBAZgBroHDQdWB5UHyQf0CBsIRAhzCKoI6QkqCWsJqgnoCikKcAq8CwwLXQusC/cMPgyDDMUNBA1ADXsNtg3yDjEOcg6yDvAPLQ9oD6YP5RAkEGEQmhDPEQARMRFhEZERvxHtEhwSThKGEsES/RM1E2YTkhO7E+YUFBRGFHwUthTzFTMVcxWxFekWFxY9FmAWhBarFtMW9xcSFyMXLRc0FzwXRxdSF1oXXhdgF2MXaBdvF3YXexd8F3sXehd9F4UXjheZF6QXrxe7F8gX1RfjF+4X9xf9GAIYBhgJGAkYBhf9F/EX4RfRF8IXtBenF5oXjheDF3wXehd+F4QXiheNF40XixeKF40XkReTF5AXhxd4F2kXWxdSF0sXRRc8Fy8XHRcIFvUW6RboFvcXGBdIF4EXuRfmGAEYBRf2F9kXtxeaF4wXjReaF6oXsxerF5IXaxdAFxkW+RbfFsYWrBaRFnkWZxZaFksWNxYbFfwV4hXUFdIV1hXWFcgVrBWIFWcVUhVOFVMVVxVRFToVERTcFKEUZxQzFAQT2BOqE3UTOBL2ErUSeRJHEikSBhHkEcQRpRGKEXYRZBFRETkRGxD6EN0QyBC7ELQQrRCkEJsQkhCNEIsQiRCEEH0QdBBuEG0QcRB3EHwQfRB6EHQQahBeEFIQRxA/EDsQPBA+EDwQNhApEBkQCQ/5D+oP2A/AD6EPfA9TDykPAA7aDrYOkw5vDkoOIA30DccNnw19DWENSA0rDQMM0QyXDF4MLQwLC/gL8wv5DAUMEgweDCQMIQwRC/YL0QunC34LWgs/Cy0LIwsdCxcLDgsACusK0wq5CqAKhwpwClkKQAojCgIJ2wmtCXsJRgkQCNsIpwh0CD4ICAfVB6oHjweHB44HnQerB7AHqAeWB4AHawdZB0cHMwcaBv8G5AbPBsAGswajBogGYAYuBfcFwQWRBWcFQwUjBQQE5wTLBLAEkwR2BFcEOAQZA/wD4gPJA7EDmwOEA20DVQM9AyUDDwL9Au4C4QLTAr4CoQJ8AlICKAICAeIByQG2AaUBlAGCAW4BWQFDAS0BFgD+AOIAwQCaAHEARwAg////4P/D/6P/gf9c/zj/F/76/uL+zP63/qH+i/50/lr+Pf4e/fv91v2v/YP9T/0R/Mn8efwo+9z7nPts+077Pvs7+0H7Tfte+3D7gPuG+337YPsw+u/6p/pg+iD56fm4+Yj5Vfkc+OH4qfh2+Er4IPf298f3k/dd9yr2/vbb9sP2tfau9qz2rfav9qz2o/aR9nb2VvYy9g716vXI9aX1gvVg9UT1MPUk9R31FfUH9O/0z/Sr9Ib0Y/Q/9Bnz8PPE85nzc/NR8zLzEvLt8sPylfJo8jvyDvHh8bXxjPFq8VDxO/Eo8RLw9/Da8L3wpfCT8Ibwe/B08HDwb/Bv8G3wY/BR8DrwJfAV8A3wCfAF7//v9u/u7+fv4O/U78Hvp++L73Xvae9s73zvku+t78jv5PAC8B7wOPBM8FrwYfBn8G/wefCD8IvwivB+8GnwUPA78DDwMfA58EHwRfBB8DnwM/A18EDwUPBg8GrwbfBq8GPwXPBW8FHwTfBN8FPwYPBz8IrwpPDC8OPxC/E18V7xgPGX8aPxqPGs8bPxvPHF8crxyvHC8bXxo/GP8XnxZPFV8UzxSvFK8UzxUPFa8W/xkfG78eHx9fHx8dfxsPGL8XbxdvGN8brx/PJS8rfzH/N988Xz9fQV9DL0W/ST9NT1E/VI9XT1oPXW9hj2Xvaa9sT24Pb69yT3Z/e7+BL4WfiG+KD4tPjQ+Pv5M/lw+an53voS+kv6ifrJ+wj7RPt++7n79/w2/HH8ovzJ/Or9Dv0//X79yv4c/mv+s/7z/y7/Z/+g/9kAEABEAHQAogDPAPwBKgFZAYUBrgHSAfICEgIyAlYCfQKmAtEC/QMqA1kDiQO4A+MECwQtBE4EbwSUBL0E5wUSBTwFZwWWBcwGBwZFBn0GqwbLBuIG9wcOByoHRAdTB1EHOwcYBvQG2QbOBtIG3wbvBv4HDAcaBykHOQdGB04HVAdaB2QHcweDB40HjAd/B2kHUAc7BysHHwcUBwkG/wb3BvUG8wbtBtsGvAaRBmUGQgYwBi8GOwZMBlwGagZ4BooGowbCBuEG/QcRByAHKgcyBzoHQAdEB0UHRwdNB1kHbAeBB5YHqAe6B84H5Qf/CBkIMAhECFYIbAiHCKkIzQjvCQwJIQkvCTYJOgk9CUUJVglvCYgJjglrCREIhQfaBzEGpwZABesFggTgA/UC0AGbAIr/x/9m/2H/ogAPAJUBJwHAAlUC3ANJA5gDygPkA+8D7gPeA74DjANLAwQCwAKBAkMB/AGiATIAsgAv/7j/XP8j/w3/F/82/2D/iv+v/8//9QAwAI4BFgG7AmcC/ANfA4YDdAM5AuUChgIiAb4BYQEYAO0A4QDqAPUA8QDWAK8AjQCAAI4ArQDPAOwBCAEwAW4BuQH6AhAB6AGGAQoAngBiAF4AgACnALwAugCuAKoAvADhAQwBMAFIAVcBaQGGAbIB5wIeAlACfgKpAtYDBwM5A2oDlwPBA+cEDQQ1BGEEkQTDBO4FCwUVBQYE5ASyBHQELgPdA4ADFQKeAiABnwEfAKYAOv/i/6b/iv+P/6z/2AALAEEAewC9AQYBVQGlAfECOQJ7ArkC8wMoA1UDewOcA7sD2gP3BBIEKAQ4BEMETARSBFYEWARXBFYEVwRcBGMEawRxBHMEcgRvBGoEYgRWBEUEMAQbBAcD9wPoA9cDwwOtA5YDfwNrA1YDPwMnAw4C9QLdAsYCrgKVAnoCXwJHAjACGgICAekBzwG2AZ0BgwFmAUUBIwEBAOMAyQCxAJkAfwBjAEQAJgAG/+T/v/+Z/3P/Tv8q/wb+4P65/pP+cP5Q/jL+Ef3r/cP9nf19/Wb9VP1B/Sj9Cfzq/M38tvyh/Iv8b/xS/Df8Jfwc/Bf8Dvv4+9P7n/tk+y37Bfr4+wv7PvuF+8z7/PwG++r7tft6+077Ofs3+zz7Ovsr+xL69PrY+sH6svqs+rL6x/rq+xf7Rvtv+4v7mfua+5P7h/t4+2b7Uvs7+yL7CPrv+tn6xvq4+q76p/qg+pv6lvqT+pH6jvqG+nb6X/pH+jT6Lfo1+kr6afqM+q36x/rR+sX6ofpl+hz50vmT+WT5Q/kn+Qj44vi2+Iv4Y/hC+CX4CPfr98/3t/em95z3mPeY95r3nfeh96X3qvet97D3svez97H3qveb94T3Z/dJ9zD3IPcY9xb3E/cM9v326fbS9r32qvaa9or2dvZb9jn2EfXo9cT1qvWb9ZT1jfV/9WP1OPUA9ML0hPRM9B3z9PPP863zivNp80rzLvMW8wHy8PLi8tny1PLR8s3yxfK18qDyh/Jt8lLyN/IY8fXxzvGm8YHxYfFH8THxG/ED8OnwzfCx8JbwevBd8D3wGu/279Pvsu+U73jvXu9D7yjvDe7y7truxe607qfunO6U7o7uje6S7pvup+6x7rbutu6x7qjune6R7oXue+527nbufO6D7ojuie6G7oPuhu6R7qTuu+7V7vHvEe8472Tvk++/7+bwCfAt8FfwivDD8QDxPfF58bXx8/I08nPyr/Lj8xHzO/Nn85XzxvP29CL0SPRr9I30sfTY9QP1MfVi9ZH1v/Xq9hL2N/Zc9oL2qPbS9wD3NPdv97T3/vhK+JD4y/j3+Rf5MvlR+Xj5qPne+hL6Pfpb+m76e/qN+q364Psp+4L74/xB/Jf84f0k/Wf9r/3+/lP+qP73/z//g//KABgAcADNASsBhQHZAi0ChALiA0QDpAP5BD8EdgSmBNcFDwVTBaAF9gZQBqsHBQdZB6MH3wgMCC4ITQhwCJwI0gkQCVEJkgnSChMKVwqfCu0LPQuNC9sMJwxvDLMM9A0xDWwNpg3eDhYOTQ6CDrYO6g8hD1oPlg/SEAwQRRB7ELEQ6REhEVgRjBG9EewSHRJREokSwRL2EyUTTxN3E6ETzRP9FC8UYxSaFNQVDxVJFX0VqxXSFfcWHhZIFnMWmxa7FtMW5Rb1FwYXGRcrFzkXQhdIF00XVBdcF2QXaRdrF2wXbhdzF3sXhReRF5wXqBe1F8EXzhfZF+MX7Rf1F/0YBBgJGAoYCRgEF/sX8BfjF9QXxRe0F6MXkBd/F3AXZhdiF2QXaxd0F34XiBeQF5YXlReMF3oXYBdDFygXERcAFvQW7RboFuYW5RbkFuQW5RbuFwQXKRdeF5sX0xf9GA4YBRfoF8AXlxd6F24XdReLF6QXtRezF5sXdBdIFx8XARbqFtYWwRaoFo8WdxZhFkoWLxYPFe8V2BXOFdEV2BXVFcAVmRVqFUIVLRUsFTsVTBVRFUIVHRTlFKMUYBQhE+sTvRORE2MTLhL0ErkSgRJREisSDRHxEdQRtxGbEYMRbxFaEUERJhEKEPMQ4xDbENcQ0hDKEMAQtxCzELMQthC4ELoQuxC9EMIQyRDSENkQ3hDhEOAQ2xDQEL8QqxCYEIsQhhCHEIoQihCCEHIQWhA+EB8QAA/iD8QPpw+JD2kPRg8iDwAO4w7KDrMOlw5yDkQOEQ3hDbgNlA1yDUsNHAzmDLAMggxgDEwMRAxDDEYMSAxJDEUMOwwoDAsL5Qu6C48LagtOCzwLMwstCyULGAsECuwK0wq7CqcKlAqDCnAKWwpDCicKBgncCasJcwk3CPoIvQiACEMIBgfQB6gHlQeaB7QH2Af5CAwIDQf9B+QHyQevB5cHfgdiB0MHJgcLBvUG3wbEBp4GawYvBfIFugWMBWYFRwUrBQ4E8wTZBMAEpwSNBG8EUAQwBBID+APgA8kDsQOWA3gDWQM7Ax4DAwLtAtoCywK/ArMCogKJAmcCPAIOAeABuQGZAYEBbAFYAUABJgELAPEA2QDBAKcAiABjADsAEf/r/8f/pv+D/1//OP8Q/ur+yP6p/o3+cf5U/jn+Hf4D/en90P22/Zr9ff1c/TX9BvzM/Ib8OPvn+5r7WPsm+wf6+vr8+wv7Ivs9+1b7aPtt+177OvsC+r/6ePo4+gH50fmi+W75Mvjv+Kv4bPg3+An33/ez94L3Tvcb9u32yPat9pz2lfaU9pj2nfag9pz2j/Z59lv2OfYV9fP10/Wz9ZL1cvVS9Tb1IfUT9Qn0/vTt9NT0svSN9Gn0R/Qn9AXz3/O284vzZPND8yTzBvLi8rnyjPJe8jDyA/HW8anxfvFa8T/xK/Eb8Qjw7vDP8K7wj/B28GXwWvBX8FjwXPBf8F3wUvA/8CfwEO/+7/Dv5e/X78bvs++g75Dvge9x71zvRO8u7yDvH+8s70TvYe+A75zvte/N7+Lv9fAI8BvwL/BG8F3wc/CF8JDwkfCK8H3wbvBj8F7wYPBj8GPwWvBI8DLwH/AW8BfwH/Ap8DLwOPA98EXwTvBV8FXwTPA+8DDwK/Ay8EfwZfCK8LTw4PEM8TXxWPFx8YDxifGR8ZvxqvG88c7x3fHm8ebx2/HG8a3xk/F98W3xYPFT8UbxPPE98U3xbfGT8a7xr/GT8V7xJPD38Ofw+fEs8Xrx2/JK8rzzJ/OA87/z5/QE9CL0TfSF9ML0+/Ut9Vv1kPXS9h/2afaj9sb22vbx9xz3Y/e8+BT4WPiD+Jv4svjW+Qz5T/mT+dD6Bvo5+nD6q/ro+yT7XPuU+9D8EvxW/JP8wvzj/P79If1Y/ab+CP5v/s//IP9i/5v/0QAJAEQAfgC2AOkBGAFGAXEBmwG/Ad4B9gIMAiQCQQJlAo4CuQLjAw0DNgNgA4wDuQPlBA0EMQRTBHQEmAS/BOkFEgU6BWEFiQW4Be8GLQZtBqkG2Ab6Bw8HIAcxB0QHVwdfB1gHQAccBvkG4AbXBt4G7gcDBxkHLwdGB10Hbwd5B3sHeAd4B4IHlQeqB7YHsQeaB3gHVwc/BzEHKQcgBxQHBAb3BvAG7gbrBt4GxAaeBnUGVAZDBkMGTgZeBm0GeQaGBpcGrgbJBuQG/AcQByEHMgdEB1QHYAdnB2kHaQdsB3QHgQeRB6IHsgfFB9kH8ggLCCQIOwhQCGcIggihCMII4Aj7CREJJAk0CT8JRAlCCUIJSglgCXoJfwlSCNkIEwcYBhQFNASPBB4DvQNEApkBwgDfACL/sP+c/9oAUADbAWUB4AJLAqkC+wNAA3gDogPAA9QD3QPbA8oDpwN2AzsC/gLFAo4CVQITAcIBYADyAIEAGP+//3n/RP8b/vj+1v62/p7+m/69/xP/pABrAVICOAL3A3QDowOKA0AC4gKHAj0CCAHkAcsBtgGhAYgBawFNATIBIQEeASYBNgFIAV4BfAGpAeICGgI4AiUB2gFjAOIAfABKAE0AbwCSAKMAnwCVAJkAtwDuATABbwGlAdQCBAI9An4CvwL3AyEDPANRA2YDggOkA8oD7gQLBCEEMAQ9BE0EYQRzBHkEaQQ6A+sDgwMPApwCLwHJAWkBCgCrAFD//P+1/3//Xv9Y/27/oP/oADsAkQDhASwBdAG8AgYCUQKYAtoDFgNNA4IDsgPcA/wEFAQkBDAEOQRBBEYESARHBEcESARKBEsESgRFBEAEPgRBBEYESwRNBEoEQwQ8BDUELAQgBA8D+wPoA9gDzAO/A68DmQOAA2cDUgNCAzQDJQMRAvsC4wLOAroCpgKPAnQCVQI1AhQB9QHVAbcBmQF+AWUBTAExARMA8wDTALYAmwCBAGcATAAwABT/+P/a/7f/j/9k/zn/Ev7v/s3+qv6D/lz+OP4Z/fz93v26/ZL9aP1F/Sr9Fv0E/Oz8zvyu/I/8dvxg/Ev8NPwa/AD76fvZ+837xPu5+6n7j/tn+zL69vrA+qL6qPrX+x/7Z/uX+6D7hPtT+yT7A/r1+vP68/rw+uf62frJ+rX6n/qM+oL6iPqj+tD7B/s++2v7ifuW+5L7gvtq+077NPsc+wn6+Prn+tT6wPqu+p/6lvqQ+oz6ivqK+ov6i/qG+nf6YPpF+i36Ifom+jz6YvqS+sT68PsP+xf7AvrP+of6Nvnr+a35gPld+Tv5Ffjo+Ln4i/hj+EH4JfgO9/r35/fX98v3xPfC98j30/fh9+739vf59/n3+Pf39/T36/fZ9773nvd/92j3WfdS90/3SvdC9zb3JfcR9v726/ba9sr2uPag9n/2WPYw9g319/Xs9ej13vXD9ZL1TPT79Kv0Z/Qz9A3z7/PT87bzmPN782HzS/M48yfzFvMH8vvy9PLy8vPy9PLw8uXy1PK+8qPyhfJj8j3yE/Ho8b/xm/F78WHxSfEy8Rrw//Dj8MTwo/CB8F7wOvAX7/Tv0u+z75bvfO9j70nvLu8U7v3u6+7g7tvu2O7X7tXu0+7U7tju3O7g7uHu3u7Z7tLuyu7B7rXuqO6d7pjume6g7qbup+6j7p3ume6d7qruv+7a7vnvHe9I73fvp+/S7/bwF/A48GHwk/DN8QvxSfGG8cLyAfI/8nzys/Lj8w3zNPNe84vzu/Pq9BX0PPRh9IT0qfTP9Pb1HfVF9Wv1kfW29dr2APYq9lv2kvbR9xT3Wvei9+j4Lfht+Kb41fj7+Rv5Oflb+YT5tfnq+h76TPpw+or6n/q4+tz7EftY+638Bvxb/Kf85v0f/Vj9lv3e/i7+gv7W/yj/eP/HABcAZgCyAPkBPQGDAdICLgKYAwgDcwPRBB8EXgSWBM8FDQVRBZsF6QY6BpAG6AdBB5QH2wgSCDoIWAh0CJQIvgjxCSwJbAmwCfUKPAqECs0LGAtjC68L+wxFDIsMzg0MDUcNfQ2xDeIOEQ4/Dm0Ong7TDwwPRw+DD74P+RA1EHUQuBD8ET4RfBGzEeUSFhJIEnoSqxLaEwQTLBNUE34TrBPbFAkUNxRmFJcUyxUAFTMVYRWJFa8V1BX7FiEWRRZjFnwWlRavFssW6RcFFxwXLxdAF1EXYRdwF3sXgBeBF4MXhhePF5oXpxezF70XxRfLF9AX1RfaF+EX6hf2GAIYDhgVGBkYGBgWGBMYDRgFF/cX5RfOF7UXnheJF3kXbxdpF2gXaxdzF30XiheWF5sXlBd/F14XNRcNFuwW1BbDFrkWshaxFrQWvBbFFs8W2RbnFwIXLRdnF6YX3Rf/GAUX8xfRF6oXhxdwF2kXcBeCF5gXpRejF4wXZhc5FxEW9RbkFtgWyxa2FpwWfhZgFkMWJhYLFfMV5BXfFd8V3BXKFacVdhVCFRwVDBUTFSkVPxVIFToVFBTaFJIURxQBE8QTkxNoE0ATExLhEq0SexJPEiYSDRH2Ed4RwxGoEY4RdxFiEU4ROBEkERMRBhD+EPcQ7xDmEN0Q1xDWENoQ4BDnEO4Q9BD7EQIRCxETERoRIhEqETERNhEzESgRFhECEPIQ6hDqEO4Q8RDrENsQvxCbEHIQShAnEAsP9Q/hD8gPqQ+FD2EPRQ8xDyQPFA77DtQOow5vDj4OEw3qDb8NjA1UDRwM6QzBDKYMlQyKDIMMfQx2DG0MYQxPDDUMEgvpC74Llwt3C2ALUQtFCzcLIwsKCu4K1QrCCrQKqgqgCpQKhQpzClsKPgoXCecJrglvCSwI6QinCGUIKAf1B9MHywffCAgIPQhsCIgIjAh3CFIIJwf/B9wHvgehB4QHZgdHBykHCAbjBrUGfQY+BgAFyQWbBXYFWAU7BR0FAATkBMsEswSaBH4EXgQ+BCAEBgPvA9cDuwObA3gDVQM0AxcC/QLkAswCuAKqAqACmAKMAnUCUAIgAesBuAGNAWoBTAEuAQwA5wDBAJ4AgQBnAE8AMwAU//L/zv+p/4X/YP84/w/+5f69/pj+df5U/jL+EP3u/c39rv2S/Xf9Xv1G/S39FPz3/NP8p/xv/Cv73/uQ+0P7APrP+rL6q/q3+tH68vsW+zX7SvtP+z/7F/rb+pT6TPoO+dz5svmK+Vj5G/jU+Ir4RvgK99f3pvd190D3DPbc9rT2lvaC9nb2cfZx9nb2fPZ99nf2ZvZN9iz2C/Xq9cv1rvWS9XT1VfU49R31B/T29Of02PTE9Kn0iPRm9ET0JfQG8+XzvvOS82XzO/MZ8vvy3/LA8pzydPJM8iTx/PHT8afxe/FT8TLxGvEH8PTw3PC98JvwevBg8E/wRPBA8EDwQfBA8DvwMPAf8Avv9u/k79Lvv++o747vcu9Y70HvK+8W7wLu8e7o7uru+e8R7y7vTO9n737vku+i76/vvO/N7+bwCPAy8F3whPCh8LLwuPC28K7wovCW8Irwf/Bz8GPwTvAy8BPv9u/h79Lvyu/G78bvze/g8ADwJ/BM8GLwZfBX8EPwNvA38EnwZ/CL8LDw0/D08RXxNfFT8Wvxf/GP8Z3xrPG98dDx4PHo8ePx0fGz8ZPxd/Fl8VvxU/FF8S/xFvED8P7xCfEb8SXxHvED8ODwxPC/8NfxC/FS8aTx/PJW8rDzBfNO84jztfPd9Aj0PfR49LP06PUY9Un1hfXN9hz2Zvae9sD21vbv9xr3W/ep9/X4Mfhd+H/4pvjb+Rz5ZPmo+eT6GfpO+ob6wfr7+zL7Z/uf+9/8Kfx1/Lj86/0O/Sn9Tf2H/dr+Qf6u/xL/Zf+p/+MAHABYAJYA1AENAUEBcQGeAckB8AIQAicCOAJIAlwCeQKeAskC8wMaAz4DYQOFA6wD1AP8BCMERwRrBJAEuAThBQoFMwVaBYIFrAXbBg8GSQaDBroG6AcLByUHOAdIB1gHYwdmB1wHRAclBwcG8wbtBvQHBAcZBzIHTQdrB4cHnQelB6MHmgeWB50HrwfDB80HxAeoB4IHXgdHBz0HOgc0BycHEwcABvMG7AbnBtsGwwagBnwGXgZQBlAGWwZqBngGhQaSBqMGtwbNBuMG9wcLByEHOQdTB2sHfAeFB4cHiAeKB5EHnAepB7cHxQfVB+kH/wgWCCsIQAhWCHEIkgi2CNgI8wkICRkJKgk9CU0JWAlaCVoJYQlyCYcJhAlHCLAHuwaABS8D/AMMAmIB5wF5AQAAfAAF/7r/tP/1AGwA/AGHAf0CWgKjAuADFANBA2UDfgOOA5kDoQOmA6YDngOIA2UDNwMCAskCkAJUAhMBygF5ASMAzQB8ADD/5/+c/03++f6j/lL+Ef3t/ff+PP7D/4UAaAFGAfUCXAJ3Al4CNwImAjoCagKcArECnAJhAhYB1AGvAakBuAHNAdwB4AHeAeAB7QIGAiQCNgIqAfUBmwEuAMkAiAB0AIsAtgDfAPkBBAENASQBUgGSAdsCHwJbApECxwL/AzcDZQOBA4gDfwNxA2kDbgOAA5gDqwOwA6MDiANnA0kDMwMfAwICzQJ5AgYBgAD6AIMAJv/k/7f/mP+D/3X/cf92/4f/pv/WABoAcADSATgBmQHvAjgCeAK1Au4DJQNWA4IDqgPQA/UEFwQ0BEoEWARgBGQEZgRlBGEEWQRQBEgEQwRABD0ENgQtBCQEHgQcBB0EHQQYBA8EAwP5A/ED6gPhA9IDwQOwA6IDlgOJA3cDXQM/AyMDDgMCAvsC8gLkAtACuQKiAo8CfAJpAlICNgIXAfUB0gGsAYcBYwFCASYBDQD1ANwAwwCpAJAAeABeAEIAIwAD/+P/xf+l/4D/Vf8m/vj+z/6u/o/+cP5M/iT9/v3c/b79ov2B/V39Nv0T/Pf84fzM/LP8lPxz/FP8N/wg/Av79vvg+8n7tfui+5D7gPt0+2r7YftQ+y/6+/q7+oL6ZPpv+p/64vsd+zv7NvsY+u/6zfq4+rD6sPqz+rb6tvqy+qf6lfp/+m76a/p5+pv6yvsA+zP7Xft5+4H7dvtb+zj7Ffr6+uj63PrO+r36qfqW+or6hfqF+oX6gvp8+nb6cPpq+mD6UvpA+i76JPom+jX6UPp1+qD6zfr5+xr7KPsd+vf6uvpy+if54vml+W/5PPkK+Nj4qPh9+Fv4Q/gz+Cn4H/gU+Af3+/f29/v4Cfgc+C34Nfg0+C34Jvgh+Bz4Evf+9+L3wvek94/3g/d993f3b/dj91b3R/c59yr3GvcK9vr26PbT9rj2mPZ29lr2SvZD9j32LPYD9b31YfT+9KL0XPQt9A/z+/Pm883zsPOS83jzYvNQ80DzMPMi8xbzEPMR8xbzHPMg8x3zEfL88uDyv/Kb8nXyTvIn8gLx3vG98aDxhvFv8VjxP/Ei8QHw3PC18I3wZvBA8Bvv9+/V77fvne+F727vVO867yPvEu8L7wzvE+8a7x/vIO8f7x7vG+8X7xDvCO8B7v3u/O777vfu7e7i7tju1O7X7tvu3O7Y7s/ux+7E7svu3O707xTvOu9m75Xvwu/q8AvwKPBH8G3wnvDX8RXxUvGP8czyCPJD8nnyqvLV8v3zJfNR84Dzr/PZ9AD0I/RG9Gr0kPS19Nn0+/Ud9UH1afWU9cT1+fY09nb2vvcK91b3oPfm+Cb4YPiU+MD45vkH+SP5QPlf+YP5qvnU+f/6J/pM+m76j/qz+t77FvtZ+6b79vxC/Ib8wfz3/S39av2w/gD+Vv6w/wv/Zv/AABcAZgCpAOABDwFBAYEB1QI/ArYDLgObA/cERQSIBMgFCQVLBY4F0QYXBmIGtAcKB2EHsQf1CCwIVQh2CJIIrwjRCP4JNQl2Cb0KBwpQCpcK3AsiC2oLswv9DEQMhwzGDP8NNQ1oDZgNxw33DikOYA6bDtkPGQ9XD5QP0RAREFcQoBDsETYRehG5EfISKBJaEooSthLdEwETJRNOE3sTqxPbFAkUNBRdFIgUthTlFRUVQRVqFZAVthXaFf0WHBY3FlIWbxaQFrQW1xb4FxUXMBdMF2oXiReiF7MXuRe6F7oXwBfMF9wX7Bf3F/0X/hf7F/YX8RfuF+8X9xgEGBMYIBgnGCgYJxgmGCcYKxgrGCUYFhf/F+YXzxe+F7QXrheoF6EXmReTF5QXnBemF6wXoxeIF10XKhb6FtUWvBasFqAWlxaRFpEWlxaiFq4WvBbPFvAXIxdlF6gX3hf4F/UX3Re7F50XiBd7F3QXchd1F3oXfhd6F2gXSBcgFvwW4hbVFs8Wxxa2FpsWeRZWFjcWHhYKFfoV7hXkFdgVxRWmFXwVThUmFQwVBxURFSMVMBUwFRwU8xS3FG4UIRPWE5UTYRM4ExMS7xLFEpgSbBJFEhYR/RHnEdERuRGgEYkRdRFmEVkRThFCETYRKhEfERMRCBD/EPgQ9RD2EPoRAREJERERHBEoETMRPhFGEU4RVhFiEXERfhGGEYURfBFtEWARWBFVEVYRVhFPET4RIxD9ENIQpxCCEGcQVRBHEDUQGg/1D84PrA+UD4UPeQ9nD0sPJA75Ds4OpQ57Dk0OGA3cDZ8NZQ00DQwM7gzXDMcMuwyzDKwMpAyXDIMMZQw/DBQL5wu8C5cLeAtdC0MLJwsLCvMK4ArVCtEKzwrMCsYKvAqtCpsKgwpiCjYKAAnACXsJNAjsCKcIaQg7CCMIJwhICH8IwAj5CRoJHAj+CMcIhghHCBMH6wfMB68HkQduB0gHHgbwBr0GhAZIBg0F1wWsBYoFbQVRBTMFFAT1BNkEvwSlBIkEawRLBC0EEgP5A94DvwObA3UDUQMyAxcC/wLlAssCsQKdApECiwKDAnMCVAInAfEBugGJAV4BNgEKANgAowBuAD8AGf/7/+L/yv+w/5T/df9S/y3/BP7Y/q3+hP5e/jn+FP3t/cT9m/10/VH9Mv0W/Pv84fzJ/LH8mfx+/Fz8Mfv6+7n7cPsk+tr6m/ps+lP6Ufpj+oT6rfrY+v/7Hvsr+yL6/fq/+nH6Ifnb+af5gPld+TP4+/i3+G34Jvfl96v3dPc99wX20fak9oH2Z/ZW9kr2RPZD9kf2TfZO9kf2NPYZ9fj12PW69Z/1hfVq9Uz1LvUP9PP02/TH9LT0ofSL9HH0VPQ19Bjz/PPf873zlPNk8zPzBvLh8sTyq/KS8nXyVPIy8g/x7PHG8ZvxbPFA8Rrw/PDm8NHwuvCe8H/wYvBL8DrwLvAm8CDwG/AY8BTwDvAF7/jv6e/W78Dvpu+L73HvWe9E7zHvHO8G7vHu5O7j7u/vBO8e7zXvSu9e73Dvg++U76Hvre++79vwBvA78HPwo/DF8Njw3vDc8NPww/Ct8JHwc/BV8DjwHfAB7+bvzO+z75vvgu9q71fvUu9j74vvxPAA8C/wR/BJ8EHwOvA/8FHwbPCJ8KLwuPDO8OjxCPEr8U3xa/GC8ZLxn/Gq8bbxvvG88arxiPFc8TPxGfET8RzxJ/El8Q3w5PC18I7wdPBo8GTwY/Bp8HzwpPDi8S7xffHD8f3yMPJk8p3y2/Ma81Xzi/PA8/f0MvRw9Kr03/US9Uf1hfXL9hT2VfaI9q32y/bs9xn3UfeQ98z4Afgx+GL4mvja+R/5Yvmf+df6D/pL+ov6zPsJ+0H7ePuz+/n8SPyY/OH9Gf1C/Wb9kv3Q/iT+iP7w/1D/pP/sAC0AbQCuAO8BLAFjAZMBwAHqAhMCOAJVAmoCeAKEApUCrgLQAvgDHwNDA2UDhQOmA8oD7wQVBDsEYQSGBKwE0wT5BSEFSwV4BacF1wYHBjQGYAaLBrUG3gcFBycHQwdaB2oHcwdzB2kHVwdAByoHGgcUBxcHIAcwB0UHYAd+B50HtAe/B74HtgexB7YHxAfSB9cHygetB4gHaAdTB0wHTAdJBz4HKwcXBwcG+wbxBuEGxwamBoMGaAZZBlgGYQZuBnwGigaZBqkGvAbPBuMG9wcMByUHQAdbB3IHggeJB4sHjQeRB5sHqAe2B8MH0AffB/EIBggbCDAIRQhcCHkIngjFCOgJAgkTCR8JKwk8CU8JYQluCXoJiQmfCbAJoglSCKMHkQY0BLwDXAI5AV0AvgBH/+v/q/+W/7kAEgCUASQBqAIRAl8CmALJAvgDJQNMA2cDdQN4A3QDcANwA3IDdQNyA2UDSgMjAvMCvQKFAkoCDQHNAYsBSwEMAM8AkgBQAAb/tP9b/v3+nP49/e39vf3C/gf+hv8j/7cAJABeAHsAnQDpAWUB+wJ6ArkCogJKAd0BigFvAY0BygIHAi8CPAI6AjQCMgIwAiQCBgHRAY0BSAEQAPIA8QEKATIBXQGCAZ8BuAHVAfsCKgJdAowCsALJAtsC6wL7AwcDBwL3AtUCqgKBAmUCXQJlAnECcgJdAi4B6QGeAVkBIwD7ANQAnwBU//X/j/8z/vH+0v7S/u3/Gf9Q/5D/1gAeAGYArAD0AUABkwHrAkICkALTAwgDNQNdA4MDpwPJA+YEAQQbBDQESgRdBGgEbgRwBHIEcgRxBGwEYwRXBEsEQAQ1BCoEHAQMA/wD8APpA+QD3wPVA8kDvAO0A68DqwOkA5cDhQNyA2EDUwNEAzADFQL2AtgCwgK0AqsCogKTAn4CZgJOAjkCKAIWAgQB7wHWAboBmgF2AVABKQEHAOkA0AC6AKMAiwB0AF4ASAAwABP/8v/O/6r/iP9n/0L/F/7o/rr+kv5x/lX+N/4U/ez9w/2d/X79Yv1F/Sb9Bfzl/Mn8sPyX/Hv8XPw7/B38Afvn+877tPuc+4n7evts+137Svs2+yf7IPsb+w/68vrC+or6XfpM+lz6hPqv+sz60vrC+qj6j/p9+nP6cfpy+nX6efp7+nn6dPpt+mr6bvp7+pD6rfrR+vz7KftR+2r7bftZ+zb7EPry+t/60vrE+rD6l/qC+nf6d/p9+n/6efpq+lf6SPpA+jz6Ofoz+iz6Jfoi+ib6L/o/+lf6evqp+uH7F/tA+037OPsB+q/6Ufny+Z35Vvkb+Ov4wfib+Hz4Zvha+Ff4VfhQ+EX4OPgv+DD4PPhN+Fr4XfhU+EX4N/gu+Cj4H/gM9+/3z/ey95/3lfeQ94r3gfd092f3XfdU90r3Pvcv9x33Cvb09tv2v/ak9o/2hfaD9n72afY59ev1hvUc9L30dfRF9Cr0F/QF8+7z0fOx85LzdvNf80zzP/M38zPzM/M28zvzQPNC8z7zMvMe8wLy4fK98pryevJb8jzyHfH+8d7xwfGo8ZHxevFh8UHxG/Dx8MXwmfBv8EbwH+/8793vxO+v75vvhe9u71jvSO9C70fvU+9h72rvb+9u72nvYO9S70HvMO8i7xzvHe8i7ybvJe8f7xjvE+8U7xfvF+8S7wju/e747vvvCe8g7z/vZO+N77jv4PAE8CLwPfBc8ILwsfDo8SLxXfGY8dHyCfI98mzylfK88uTzEfNC83Pzn/PD8+Dz/PQa9D30ZPSL9LH01fT89Sj1XPWZ9d72KfZ59sv3HPdp96737Pgi+FL4ffik+Mb45fkB+Rz5OflX+Xb5lfmz+dP59PoZ+kH6a/qY+sj6//s9+4L7y/wT/Fb8kPzF/Pj9Mf1z/b/+FP5v/s7/Lv+N/+kAPACBALcA4gEOAUYBlgIAAnwC/QN2A94ENAR8BL4E/AU5BXQFsAXtBjAGegbLByEHdgfHCA8ITAh6CJoIsQjECNwJAQk0CXMJugoCCkcKigrOCxMLXAumC+0MMQxxDK0M5w0gDVcNjQ3FDgEOQA6EDsoPDg9PD4wPyBAGEEkQkBDZESMRahGuEe4SKxJiEpMSvhLiEwUTKRNTE4MTtxPrFBwURxRvFJYUvhToFRIVOxVjFYsVsxXaFf8WIRY/Fl0WfhaiFsYW6RcGFyEXPhdiF4wXtxfcF/MX/Rf/GAAYBxgVGCYYNBg7GDsYNRgtGCQYHBgVGBQYGBgiGC8YOBg7GDcYMRgwGDUYQBhMGFIYTxhCGDAYIRgZGBYYFBgOF/8X6RfTF8YXxRfOF9UXzhewF34XQxcMFuIWxhazFqIWjxZ/FnUWdRZ9FogWlRarFtAXCxdXF6MX3Bf1F+0X0BexF5oXjheIF38XcRdiF1gXVBdSF0kXNRcXFvYW3BbMFsQWvBarFo8WbBZHFigWDxX9Fe0V2xXFFasVjBVrFUwVMhUhFRsVGxUgFSEVGhUJFOsUvxSHFEMT+BOuE2sTNBMKEukSyhKoEoESWRI1Ef4R4xHMEbURnhGIEXQRZRFbEVcRVBFREUwRRBE6ETERKREjER8RHBEaERkRGhEgESwRPxFVEWwRfxGPEZsRqBG3EcgR1xHgEeAR1xHLEb4RtRGwEasRpRGbEYoRchFRESoRABDaEL0QqxCfEJEQexBZEDEQCQ/oD9EPwA+vD5oPfw9hD0EPHw76Ds8OnA5kDigN7g22DYQNWA02DR4NEQ0NDQ0NCw0CDPEM1AyuDH8MSgwSC9oLpgt2C0wLKgsQCwAK+gr7Cv8LAwsDCv8K+QryCugK2grECqAKbwowCegJmglKCP8IwAiUCIIIjwi3CPQJOQl2CZoJnAl3CTMI3QiHCD4ICAfhB8IHoQd6B0sHGAbjBq4GdwY/BggF1wWuBY8FdgVeBUQFJgUGBOcEygSvBJUEeQRbBD0EIAQDA+UDxAOgA3oDVwM3AxwDAwLoAssCrgKVAoQCeQJvAl4CQQIXAeUBsgGBAVMBIgDqAKoAZQAh/+b/tf+P/3D/Vf86/x7+/v7Z/rD+gv5U/ij+Av3e/br9kf1j/TL9A/za/Lj8m/yA/GX8S/wy/Bz8B/vv+8/7pfty+zX68vqt+mr6MPoE+ez56vn7+hv6Rfp1+qb60vrx+vj63/ql+lP5+fmo+Wv5P/kd+Pb4wviC+Dv39fe093n3QfcJ9tL2n/Z09lH2N/Yj9hX2DPYL9hD2F/Ya9hL1//Xh9cD1oPWG9XD1WvVC9SX1BvTl9Mf0rPSV9ID0a/RV9D30I/QI8+7z0/O385TzavM58wby2PKz8pjygvJs8lHyMfIO8enxw/Gb8W/xQvEX8PLw1vDB8K/wnPCF8GzwUvA78CbwFPAD7/bv7u/r7+7v8+/27/Pv6e/X77/vpO+M73rvce9s72bvWu9J7zXvJ+8l7y/vPu9M71fvYe9v74XvoO+779Dv3+/u8AfwL/Bj8Jrwx/Dj8Ozw5vDY8MPwpvCB8FbwKvAC7+Lvy++576vvnO+K73LvUu8t7wju8e7w7wzvPe9576/v1e/r7/bwAPAQ8CbwPvBV8Gnwe/CP8KjwyPDs8RDxL/FH8VfxYvFs8XfxfvF88WjxQvER8Obwz/DU8O7xC/EY8Qfw1/CW8FLwGe/y7+Lv7PAT8FnwuvEo8Y/x4PIT8i7yQvJf8ovyx/MI80jzg/O78/T0L/Rr9Kf04PUY9VP1kPXQ9gz2QPZt9pT2vPbo9xr3T/eE97f36vgf+Fr4mvjb+Rn5U/mJ+cL6AfpH+pH62fsc+1n7lvvX/B/8bfy6/P/9Ov1s/Z/92f4i/nn+2f88/5r/8QBAAIkAzgEQAU4BhgG3AeQCDgI3Al4CgQKdArACugLCAs4C4QL9Ax8DQwNoA4oDrAPOA/EEFAQ5BF4EgwSoBMsE7gUSBTsFawWiBd0GFAZBBmIGewaSBq8G1gcDBzIHWwd6B4sHkQeNB4IHcQdfB00HPwc2BzMHNwdBB1MHbQeLB6gHwQfPB9MH0gfRB9UH3QfkB+MH0we1B5IHcQdcB1MHUgdTB04HQwczByMHEwcCBuwG0QawBo8GdAZlBmEGaAZ1BoQGkwahBrAGvwbRBuUG+wcSBysHQwdYB2gHcQd2B3gHfQeFB5IHoQexB78HzQfdB/EIBwggCDgIUAhqCIgIrAjQCO8JBAkPCRQJGQklCTYJTQlmCYIJownDCdQJuQlSCIoHYwX5BHoDFgHrAQUAXv/q/6j/nP/LADQAxAFdAeQCRgKCAqcCxALkAwwDMwNUA2kDcgNxA2kDXQNQA0QDOgM0Ay4DJgMVAvsC1gKqAngCQgIKAdIBmwFlATMBAwDTAKMAcgA9//3/rf9H/s3+UP3m/af9n/3C/fv+L/5V/nv+vf8z/9sAkgEkAWMBQwDhAHQANAA+AIoA9wFfAawB3QH9AhYCIwIaAfEBqQFWARIA8wEBATEBbgGiAcMB0QHUAdkB5wH/AhsCNQJDAkECLwIRAe0BxwGhAXoBTgEcAOYAsQCFAGoAYwBqAHIAbQBPABT/xf9v/yb+8/7X/sn+uv6k/ob+bP5i/nD+m/7d/y7/iP/qAFEAuwEjAYIB1QIdAl8CnQLbAxUDSANwA44DpgO8A9QD7QQGBB0EMgRGBFgEZwRyBHYEdgRzBHAEbgRsBGYEXARPBD8ELgQdBAoD9QPgA8sDuwOuA6QDmgOOA4IDeANxA28DbANlA1cDQgMrAxYDBALzAuACyQKuApMCegJnAlYCRAIxAhoCAgHtAdoByQG3AaUBkQF8AWUBTAEuAQ0A7ADOALQAngCHAG0AUAAzABf//v/l/8r/q/+J/2f/Rv8m/wL+2v6u/oL+W/47/h/+Av3f/bb9i/1k/UP9J/0M/PD80fyz/Jb8e/xf/EH8IvwE++n70Pu2+5f7dftW+0D7NPsv+yj7GfsD+u363frY+tX6y/qz+o36ZPpH+jz6Q/pS+l76YPpZ+kz6QPo4+jT6Mvow+i/6Lvou+jH6OfpI+l36d/qO+qD6rfq++tj6/vsq+1D7Yfta+0D7IfsJ+vz68/rl+sv6qvqM+nn6dvp6+nr6cPpb+kL6Lvok+iP6Jfok+iD6GfoT+g/6DvoP+hj6LfpV+pL63vsp+2L7dfta+xH6qfo0+cX5a/kp+Pz42/i/+Kb4kPiC+Hz4e/h7+HX4bfhl+GX4bPh3+Hz4dvhk+Ez4OPgt+Cf4IPgQ9/X30/e095/3lfeR9473h/d+93b3cPdu92r3YvdV90P3LfcU9vj22/bC9rD2qfao9qP2j/Zh9hb1t/VS9Pb0rPR49Fb0P/Qq9BTz+fPY87XzkvN0817zU/NR81TzWfNc81zzWfNT80vzP/Mt8xXy9/LW8rbymPJ+8mPyRvIm8gTx4vHF8azxmPGD8WnxSPEg8PTwyPCd8HTwTvAr8A3v9O/h79Dvv++t75vvj++M75Lvnu+s77Xvt++z76nvmu+G723vU+8+7zDvLe8z7zzvQ+9G70fvSO9L703vTO9F7znvLe8m7ynvN+9P727vke+279vv/vAe8DzwWfB78KPw0fEE8TnxbvGi8dbyB/I08lzyf/Kj8svy+fMr81vzgvOf87XzzfPr9BT0Q/R19Kb01vUH9T31e/XC9hH2ZvbA9xj3afew9+n4Ffg4+Ff4c/iO+Kf4v/jZ+Pf5Gfk8+V/5ffmX+bD5zfny+h36TPp7+qn62fsP+077lfvf/CT8YPyR/L387P0l/Wz9v/4Z/nX+0f8q/4D/0AAYAFYAjQDGAQ4BbAHiAmoC8wNyA9sELwRyBK0E5AUcBVMFiwXGBgcGTgadBvEHSQejB/oISQiKCLgI0wjfCOYI9QkSCT4Jdwm2CfcKOAp8CsMLDgtZC6ML6gwuDHAMswz2DTkNeQ25DfoOPg6EDssPEA9RD44Pxw//EDkQdxC4EP0RQhGIEcwSDRJJEn4SrBLVEvwTJRNTE4gTwBP3FCkUVhR+FKQUyRTvFRUVOhVhFYoVtBXgFgoWMRZWFnkWnhbEFucXBRcdFzQXUBd2F6YX2RgFGCMYMhg3GDwYRRhUGGEYaRhoGGAYVxhQGE0YSxhJGEkYSxhQGFUYWRhXGE8YRxhEGEkYVxhpGHgYfhh8GHUYbhhtGHAYchhrGFgYORgYGAAX9xf8GAEX+RfZF6MXYhcmFvkW3BbHFq8WkxZ4FmMWXBZeFmQWbhaAFqQW4xc4F5EX1xf3F+8XzxeqF5AXhBd9F3EXXxdKFzwXORc/F0MXOxclFwYW5xbQFsAWshafFoIWXhY4FhcV/BXlFc8VtBWUFXEVURU4FSsVKBUsFTAVMBUnFRQU+RTZFLQUihRWFBkT1RONE0sTExLnEsUSpxKIEmYSQhIeEeYRzhG4EaMRjhF4EWURVhFPEU0RUBFUEVURVRFVEVURVhFYEVcRUhFJEUAROhE/EU8RaxGNEbIR0xHvEggSHhIyEkESSRJGEjoSKRIXEggR/BHzEekR3hHQEcARrBGSEXARSREiEQIQ7BDeENIQwBCkEH8QVxAzEBcQAg/wD94PyQ+yD5gPeQ9WDy8PAw7WDqcOdQ5BDgsN1g2qDYwNfg19DYANgA12DWANQA0WDOUMqwxrDCYL3wueC2YLPgsnCyELJgswCzkLPAs6CzcLNQs4CzwLPAsxCxYK6AqqCl4KCwm2CWcJJgj6COgI8QkSCUYJgQm3CdoJ3gm9CXgJHAi6CGQIIQfyB80Hpgd3B0AHBQbMBpcGZgY1BgQF1QWsBYwFcwVdBUUFKQUIBOcEygSwBJoEggRoBEoEKgQKA+sDywOrA4kDZwNFAyQDBALlAsUCpgKMAncCaAJYAkMCJQH9AdABoQFzAUQBDwDPAIUANf/m/57/Yf8t/wH+2v61/pL+bP5B/hL93/2u/YL9Xf08/Rn87/y+/Iv8XPw0/BX7+fvd+8H7pPuL+3b7ZPtP+zL7DPre+qn6cfo3+f35yfmg+Yf5gPmK+aL5xfn0+iv6ZfqX+rP6qvp7+i350Pl5+TT5AfjY+K34ePg49/T3s/d490P3EPbe9qr2efZN9if2CfXw9d710/XS9dj14fXk9dv1xfWk9YH1YvVL9Tv1LPUb9QT05vTG9KX0h/Rt9FX0QPQq9BTz/PPi88Xzp/OH82LzN/MJ8tzys/KT8nvyZvJO8jDyCfHd8bDxg/FY8S7xBvDj8MbwsvCj8JfwifB48GPwTPAz8Bjv++/f78fvuO+z77nvxO/P79Xv0+/H77Xvoe+S74zvkO+a76PvpO+b747vhO+B74XvjO+P75DvlO+k78Lv6fAP8CjwM/A48EPwXvCG8LLw1fDk8N7wyPCn8H/wUfAf7+zvvu+a74Lvdu9w72zvZ+9d70zvMu8P7uruy+697sPu3e8C7ynvS+9n74DvmO+x78nv4O/28AzwJvBE8GTwhfCj8L7w1PDn8PfxBfEU8STxNfFA8T3xKfEI8Ofw1fDb8PbxGPEt8SjxBPDL8IjwSfAZ8ADwBfAu8Hvw4/FQ8a7x7PIK8hbyJfJI8oLyyvMU81bzj/PD8/f0L/Rq9Kb04vUe9Vv1mPXR9gP2LvZV9n32rPbi9xr3UfeE97b36/gl+GT4pfjj+Rr5TvmE+cD6BvpT+qD66fst+277sPv2/D/8iPzM/Qr9Rf2C/cT+EP5l/sH/If+B/+AAOgCPANwBIAFcAZEBwQHtAhkCRQJxApsCwALdAvIC/gMGAw8DHgMzA1ADcQOUA7YD1wP2BBUENQRXBHwEoQTFBOgFCQUuBVwFlQXXBhkGUQZ2BooGkwaeBrcG4QcZB1QHhgepB7kHuQeuB54Hiwd4B2YHVgdLB0UHSAdTB2cHggefB7wH1AflB/AH9wf8CAEIBQgEB/sH5gfFB58HewdgB1MHUwdaB2EHYAdWB0UHLQcTBvgG2wa9BqEGigZ8BnkGfwaMBpoGqAayBrwGyAbXBuoHAQcYBy0HPgdKB1MHWgdgB2YHbwd6B4gHlwenB7gHyQfcB/MIDQgqCEgIZgiECKIIwAjaCO0I+Aj7CPwI/wkLCR4JOglcCYMJrgnRCdgJpgkeCDMG8QV6A/8CqwGbANQATwAD/+wADgBnAOsBgQIKAnECrgLLAtwC7wMJAyYDPwNNA1MDVQNWA1UDTAM3AxgC+QLiAtoC3gLlAuMC0wK1AowCXwIxAgMB1AGjAXABQAEWAPMA2QDDAKgAfAA2/9D/Uv7N/lT99v24/Y/9cf1b/Vf9ev3P/k3+0v8w/0T/DP6p/lH+Mv5e/sb/SP/FADAAjQDmATkBdQGDAVUA+gCWAFYAVACQAO0BQwFyAXEBTAEcAPcA5QDhAOAA1QC5AI0AUwAR/8z/hv9C/wL+xv6S/mX+Qv4r/iP+KP44/kn+Uf5G/ib99/3G/aL9lf2g/b395P4M/jf+af6r/v3/Xv/EACsAjgDwAVMBtQIUAmgCrwLoAxgDQwNsA5EDsAPGA9YD4gPvA/8EEQQkBDYERgRTBF8EaARuBHAEbgRoBGIEWwRUBEsEPgQvBB0ECQP0A90DxwOwA5sDiAN3A2gDWgNMA0EDOAMyAy4DKAMfAw8C+gLiAsoCtAKhAo4CewJmAk8COAIhAgkB8QHZAcMBrwGeAY4BfgFqAVQBPAElAQ8A+ADgAMYArACUAH4AagBTADcAFP/u/8n/qf+O/3b/Xf9C/yX/B/7n/sX+nf5y/kj+Iv4D/ej9y/2p/YH9WP0y/RH89PzY/Ln8mfx5/Fv8Pvwh/AL74/vG+677mfuB+2L7PPsX+vv67frr+uv65PrS+rn6o/qX+pP6kfqI+nP6V/o6+iL6E/oK+gL5+fnw+en55vno+e358/n4+fv5+/n5+fr6A/oY+jj6Xvp/+pX6nvqk+rL6zvr2+xz7Nfs5+y77Ifsb+x77IPsX+vz61Pqp+on6efpz+m/6Y/pO+jf6JPoZ+hX6E/oN+gX5/Pn2+fP59Pn1+ff6AfoZ+kf6ifrW+x/7T/tW+y361/pn+fH5i/lB+RT4+vjo+Nb4wPir+Jz4lPiT+JL4kfiP+JH4lfia+Jj4ivhw+FL4Ovgs+Cf4I/gX9/733fe996X3mPeT95L3j/eM94n3ifeL94z3ifd/93D3WvdB9yT3Bvbq9tb2y/bH9sD2rPaC9kD17vWV9UH0+vTC9Jf0d/Rc9EP0KfQL8+jzxPOj84vzgPN+84LzhfOD83rzb/Nj81nzTvNB8y3zEvLz8tLysvKV8nryXfI88hjx8/HT8bjxpPGS8X3xYfFA8Rnw8/DO8KzwjPBs8E7wMvAb8Ajv+O/s7+Lv3O/d7+Pv7e/27/jv9O/o79fvwu+r75Hvd+9g70/vSe9N71fvY+9t73Xveu99733vd+9s71zvTu9I70zvXO9175Tvtu/Z7/vwG/A68FjwefCe8Mnw+PEp8Vnxh/G08eHyDPI08lfyd/KY8r3y5vMS8znzWfNx84fzpPPO9AX0RvSK9M31DfVK9YX1wfX/9kP2jfbd9y73eve69+r4C/gl+Dr4T/hj+Hj4jfin+Mn48vke+Ub5Zvl++ZP5rfnR+f36LPpX+n36ovrO+wb7Tfub++b8JvxW/H38pfzZ/Rz9bv3G/h3+bv64/v//Rf+L/9EAGgBsAM8BSQHWAm8DAQOAA+MELQRmBJcEyQT9BTIFagWlBecGMAaABtYHMQePB+8ITQihCOIJCwkdCR8JHgkmCTsJXwmNCcIJ/Qo+CocK1QsmC3ULwAwJDFIMnAzpDTYNfw3EDgUORQ6GDsgPCQ9JD4QPuw/vECIQVxCREM8RERFVEZkR2xIYElAShBK0EuQTFRNKE4ITuhPxFCMUTxR4FJ4UwxToFQ4VNBVaFYIVrBXXFgMWLRZWFn4WpxbOFvEXDxcmFzwXVxd9F6wX3xgNGC4YQRhOGFoYahh7GIgYixiEGHcYbBhoGGwYchh4GHoYeRh5GHkYeRh2GHEYahhnGGoYdBiCGJAYmRibGJkYlxiZGJ4YohieGIwYbRhIGCkYFxgTGBMYCBfnF7EXcBc1FwsW8BbbFsIWoRZ+FmIWUxZPFk8WTxZXFnMWsBcLF3EXxxf0F/IXzRebF3IXWBdKFz8XMhcmFyIXKhc6F0kXSxc7Fx8W/hbgFskWtBadFn4WWRYyFg4V7RXQFbQVlBVyFVIVOBUpFSYVLRU1FTgVLxUaFPsU1xSyFIsUYRQvE/YTthNyEzIS+RLJEqISgBJgEkASIBICEc0RvRGvEaARkBF9EWkRWhFREVARVRFcEWMRaRFvEXgRgxGNEZERjhGEEXgRcRF1EYgRpxHNEfYSHhJFEmoSjBKnErUStBKjEogSbBJTEkISNhIrEh0SDRH8EewR3BHIEawRiRFiET8RJBESEQQQ8xDaELsQmxB9EGYQVRBHEDgQJRAMD+wPyA+fD3YPUQ8wDxIO8g7JDpYOXg4sDgcN9A3vDe8N6Q3YDbkNkw1nDTgNAwzFDH4MMAviC58LbwtWC1MLXQtrC3ILcgtsC2gLbQt5C4kLkguNC3ULSAsMCsMKdAojCdgJmQlsCVMJTwlbCXQJlQm3CdEJ1wnACYkJNwjbCIUIPwgKB98HsQd6BzoG+Qa9BowGYwY7BhIF5QW4BZAFbwVTBTgFGwT5BNgEugSjBJEEgARrBFAELwQOA+4D0gO3A5sDewNXAzADCQLjAsACogKIAnICXwJKAjACDwHoAb0BkQFkATMA+gC0AGIACf+w/13/Ev7P/pT+Xv4u/gH91P2l/XH9Ov0E/Nb8sPyQ/HD8TPwi+/b7zfuq+4v7bftM+yr7Cvru+tj6xfqv+pL6cPpI+h358fnD+ZX5aflF+Sz5Ifkj+TH5S/l1+a758Pov+ln6Xvo7+fX5n/lM+Qb4z/if+G34M/fz97L3d/dD9xX26va99o72XvYw9gf14/XF9bD1pPWi9aj1r/Ww9aX1i/Vo9UL1I/UP9QT0/fT09OP0yfSp9Ib0Y/RE9Cn0EvP98+jz0PO185XzcfNM8yby/vLY8rTylPJ58mLySvIt8gfx2fGm8XTxRfEb8PXw0/C28J/wjvCB8HXwafBc8EzwOvAj8Abv4++975nvf+9w72zvce9774Tvi++O743viu+I74vvle+l77Xvwu/H78jvx+/J783vze/J78Pvxe/W7/nwJvBP8GbwafBh8FvwZPB88JzwtvDA8LXwmPBu8DzwBe/O75zvde9b707vSO9F70HvPO817yvvHu8M7vju5u7a7tbu2u7i7u3u++8O7yfvQu9b727vfe+P76vv0fAA8C3wUPBo8HjwhfCT8KPws/DC8NLw5fD68Q3xF/EU8QrxAPEB8Q/xJ/E78UPxOfEg8Pzw1PCu8I/wgfCN8Lfw+PFC8YHxrPHE8drx/PI28oLy1fMg81/zlPPF8/v0NfRw9Kn04fUZ9VT1kPXI9fj2IfZG9nD2ovba9xT3TPeB97X37fgs+G74r/js+SP5WfmT+dT6HPpm+q368fsx+3L7t/wA/En8jvzM/Qj9Rv2M/dz+NP6Q/u//Tf+sAAsAZwC8AQcBRQF4AaQBzgH6AigCWAKIArUC3gMBAx4DNANGA1UDZgN7A5MDrgPKA+UD/gQWBC8ESwRsBJIEugThBQUFKAVRBYQFwwYIBkgGeQaVBqAGpQazBtIHBQdCB4AHsgfSB94H2wfOB70HqweYB4cHdgdpB2IHYwdvB4UHoAe9B9gH8QgGCBkIKAg0CDoIOQgwCB4IAQfaB64HhQdmB1oHYQd1B4sHlgeQB3kHVgcwBwwG7QbTBr0GrAaiBqAGpgaxBrwGxAbJBs0G1AbhBvMHCAcbByoHMwc6B0IHSwdXB2QHcQd9B4gHlgemB7kHzwfmCAAIHAg8CF8IggijCMAI1QjiCOYI5gjnCO0I/gkaCT0JYgmHCaoJxgnRCbUJWQikB5AGLgSpAzMB+AERAIIAPwA2AF4ArwEfAZ8CGgJ8ArkC2ALnAvcDEAMrAz4DQgM3AygDIQMlAywDKAMQAuQCtAKSAokClwKuArsCtAKYAnACSQIpAhAB9AHQAaIBbwFAARwBAwDyAOEAxwCdAF4ADv+y/1L+9f6e/kv9+v2w/Xj9YP1u/Zf9wf3M/aP9S/zj/JP8fPyj/Pf9Xf3C/ib+k/8N/4r/6wAQ/+3/kv8v/vT+/P9C/6L/7AAC/+D/mf9O/xL+7v7W/r7+mf5o/i397/2x/XP9NPz3/L/8k/x1/Gf8Zfxt/Hz8kvyw/NT8+P0X/S39O/1H/Vz9gP21/fn+Rf6W/uv/SP+tABkAiADxAVABpAHwAjcCfAK7AvMDIgNHA2gDhwOkA78D1QPlA/AD+QQDBA8EHAQpBDMEOwRABEQERwRKBEoESQREBDwEMgQnBBsEDgP/A+4D2gPFA64DmAOCA24DWgNGAzIDIAMSAwYC/gL1Au0C4gLUAsQCsgKeAocCbwJXAkECLgIcAgoB9wHgAcYBrAGTAX0BawFdAU8BPwEqARIA+ADeAMcAsQCaAIEAaABRADsAJwAQ//X/0v+q/4L/X/9D/yz/GP8E/uz+0f6w/ov+YP4z/gj94/3E/ar9jv1u/Ur9JP0C/OL8xPyl/IL8XPw5/Br7/vvh+8P7ovuD+2j7U/s/+yT7A/rf+sD6rfqn+qf6pPqY+oT6cPpg+lj6VPpO+kL6MPoa+gT57vna+cX5sfmf+ZP5jvmQ+Zn5qvnA+dX55vnu+fD58Pn3+gj6Ivo9+lH6Xfpk+m/6g/qf+rz60frb+t/65vr1+wn7GfsY+wH62fqq+oL6aPpZ+k/6RPo2+iX6FfoI+fz57/nh+dT5zPnL+dD52fnh+eb56/n0+gn6L/pm+qf65fsN+w/65fqT+ir5wflt+Tn5IPkV+Qr49vja+L/4q/ii+KD4o/il+Kf4qfip+KP4lPh8+F/4Rvg3+DH4Lvgl+BH39ffV97z3rPel96T3pfel96f3qvet97D3rvep9573jvd49133Pvcf9wb29vbs9uH2zPan9m/2K/Xj9Z31X/Uo9Pf0zPSn9If0avRO9C/0EPPy89rzy/PD87/zuvOw86PzlfOI833zc/Nm81LzN/MX8vTy0vKz8pbyevJb8jvyGvH78eDxyvG28Z/xhfFn8UjxK/ER8Pnw4PDD8KLwfvBd8EPwMfAn8CPwI/An8C3wM/A18DHwJPAR7/nv4O/J77PvoO+P74Tvge+F747vm++n76/vsu+w76nvm++K73fvaO9h72bvde+O76zvze/w8BHwMfBQ8HDwk/C88OrxHPFO8X3xqPHP8fbyHfJC8mXyhfKj8sLy4vMC8x/zOPNQ823zlvPN9BP0Y/S39Qv1WfWg9d72EfY/9m32ofbf9yL3YveZ98H33vf2+A34Jvg/+Ff4bviJ+Kz42PkF+S35Sfla+Wn5f/mi+c/5/fok+kH6Wvp7+qz68PtC+5P72vwR/D38afyf/OT9Nf2J/df+HP5a/pX+1f8b/2r/wwApAKMBMgHSAnUDCgOFA98EIARRBIAEsgTnBR4FVQWQBdEGGwZuBsYHIgeCB+QISQipCPsJNglWCV8JWwlXCVsJbAmHCawJ3AoXCmAKsgsKC2ALsAv7DEQMkAzfDS8Nfg3GDgcOQg58DrcO9A8yD20PpQ/YEAgQORBuEKkQ6BEqEWsRqhHlEh4SVRKNEsUS/hM2E28TphPaFAoUNRRcFIEUphTOFPYVHxVHFW4VlRW9FecWERY8FmYWjxa2FtoW+RcVFy8XTRdyF54XzBf2GBcYLxhDGFkYcxiOGKEYqBihGJMYhhiAGIMYihiQGJMYkRiNGIoYiRiJGIkYiBiHGIgYjBiTGJoYoBiiGKIYoBigGKQYqRipGJ4YhBhgGDsYIRgTGA4YAxfnF7gXfhdHFx4XBBbxFtkWuBaUFnUWYxZZFlIWSBZCFlEWgxbbF0UXpRfdF+AXuBd7F0EXGRcEFvsW9xb5FwMXFhcvF0UXTxdJFzQXFxb5Ft0WwxaoFogWYxY6FhEV6hXGFaUVhhVqFVIVQRU4FTYVOBU4FTEVIRUJFOoUyRSlFH0UThQXE9oTmhNZExsS4RKrEnwSUxIvEhER9xHgEbIRpxGfEZgRjhGAEXERYxFcEV0RZBFuEXURfBGDEY8RnxGwEb0RwhHAEb0RvhHHEdoR8xIQEi4STxJ1Ep8SxxLmEvUS8BLZEroSnBKFEnYSahJdEksSOBImEhkSDRH/EekRyRGkEYARYRFJETURHxEGEOoQ0RC/ELQQrhCpEJ8QjRByEEwQHQ/qD7sPlQ97D2oPWQ8/DxYO4w6uDoMOZw5ZDk8OPw4kDf4N0w2pDYANVQ0iDOEMkww+C+8LsguQC4gLkQufC6YLpQufC50LpAu1C8cL0AvIC6wLgQtLCw8KzgqMCkwKEwnmCcUJsAmjCZwJnAmiCaoJqwmcCXUJNwjrCKAIXwgqB/sHyQeLB0QG/Aa8BooGZQZEBiAF9QXFBZUFagVHBScFCATmBMMEpASOBH8EdARnBFMENwQYA/kD3wPIA7EDlQNwA0YDGQLvAskCqQKOAnUCXAJCAiMB/wHWAasBfwFQARoA2gCLAC//y/9m/wj+s/5p/ib96v20/YP9VP0j/O78tPx8/En8IPv/++P7x/un+4b7ZPtC+yD6+/rV+q/6jfpw+lj6QPol+gT54Pm8+Zv5eflW+TL5Dfjv+Nn4zfjL+NL46PkQ+Uz5lfnb+gr6E/nx+bH5ZPkb+N34qPh2+D/4AvfB94T3Tfce9vT2y/ag9nP2RPYV9en1wPWf9Yf1efV29Xn1ffV89W/1VvU09RD08fTe9NT00PTJ9Lv0ofR+9Fb0LfQI8+nz0PO786jzk/N681vzOvMX8vby1vK58p3ygvJn8kvyLPIH8dzxrPF78UzxIvD78NfwtvCY8H3wZfBQ8D7wL/Ah8BfwDO/97+bvxe+c73LvTu8y7yHvGe8a7yHvMO9D71bvZu9y73zvie+c77Tvze/k7/Tv//AC8ADv9u/m79bvz+/a7/bwHvBE8FvwX/BW8EvwSfBT8Gfwe/CH8IXwdPBU8Cnv9u/E75fvdO9c70zvPe8u7x/vEu8J7wbvBe8G7wjvDO8Q7xLvD+8G7v3u+e8C7xXvLO8870HvP+9E71zvi+/I8APwMPBJ8FbwYfBv8IDwi/CO8IrwivCW8LDw0PDs8Pvw//D+8QDxCfEX8SfxM/E78T3xNfEk8Qnw6/DX8Nbw6/EQ8TnxYPGG8bLx7fI48ory2vMd81XzifPB9AD0QPR89LD03vUO9UP1fvW49ez2GfZB9mz2nfbU9w33Q/d496336Pgo+G34sPjv+Sr5ZPmh+eT6Kvpw+rH68Pst+277svv6/EH8hfzF/QX9S/2Z/fD+TP6r/wj/Zf/CACAAewDNARMBSgF3AZ4BxwH0AiUCVwKHArUC4QMKAzEDVgN3A5UDrgPFA9oD7QP/BBAEHwQwBEUEYASEBK4E2QUDBSkFTwV6Ba8F7QYtBmUGjQakBrEGwAbaBwQHOgdzB6YHzQfmB/IH9AfvB+cH3AfPB8EHsQehB5UHkAeWB6UHvAfXB/IIDggqCEYIXghvCHUIbwheCEIIHAfvB70HkQdzB20HgQemB8sH4gffB8MHlQdjBzUHEAb0BuAG0wbMBswG0AbWBtoG2wbbBt0G5QbyBwQHFQciByoHLwc1Bz8HTgdgB3EHfweJB5IHnQesB8EH2gf1CBIILwhQCHQImAi4CNAI3QjeCNgI1AjbCPQJIAlYCZIJwwnhCekJ2gmsCVMIvAfWBqIFMwO0AlYBRACUAEYASgCHAOkBXAHUAkEClgLMAuUC7QL1AwcDIQM6A0QDOAMdAwEC8gLzAvoC9QLYAqYCbwJKAkQCWgJ7Ao0CgwJeAi4CBgHyAe4B7QHjAccBngFyAUwBMAEYAP4A3ACyAIMAVAAo//3/0P+b/1z/Ev7E/nr+QP4Z/f/94v2v/V388fyA/Cb78/vq+/78HvxE/HX8vP0b/YH90v3u/c39f/0t/P/9Cv1F/Y39vv3C/Zv9X/0o/QT88vzm/NL8svyJ/F/8O/wd/AH75PvH+7D7pfur+8D73fv9/B38P/xo/J383v0k/Wv9rv3t/iz+cP68/w//Z//AABoAdgDUATIBiwHdAiUCYwKZAsgC8wMZAzkDVANtA4UDngO1A8sD3APoA/AD9wP+BAUEDAQTBBgEGgQZBBYEEwQQBA0ECwQHA/8D9QPpA90D0gPIA7sDqwOXA4EDawNXA0MDLgMWAv4C6QLZAs8CxgK8Aq8CngKMAnwCbQJdAkkCMQIXAf0B5wHVAcQBswGdAYQBaQFPATgBJAEUAQUA9ADiAMwAtQCeAIgAcgBaAEEAJQAI/+7/1v+//6f/iv9o/0T/Iv8F/u7+3P7L/rb+nP57/lP+Jv34/cz9pv2G/Wv9T/0w/Q386fzI/Kr8jPxr/EX8Hfv4+9j7vvuk+4f7ZftB+yH7B/ry+t36xPqn+ov6dvpp+mP6XvpW+kn6O/ot+iP6G/oS+gj5+/nt+d35zPm4+aH5iPlv+Vj5Rfk6+Tv5Svlp+ZP5vvng+fP5+Pnz+e/58Pn4+gL6DPoV+h36J/oz+j36RfpO+lv6b/qL+qj6vfrB+rL6lfpx+lH6OPoo+h/6GPoR+gf5+fnm+dD5uvmn+Zv5mfmf+av5uPnE+c751fnb+eP58voP+j36efq2+uH65vq9+mz6Cfms+Wv5S/lB+Tr5KvkL+Ob4xfix+Kn4qfiq+Kj4pPie+Jj4j/iC+HH4YvhW+FD4TPhD+DP4Gvf99+L3z/fE98H3w/fH98330vfW99f31PfP98j3vfes95P3c/dR9zL3G/cM9v/27PbM9p/2avYz9f/1zvWf9W/1PvUO9OP0v/Sh9Ib0a/RR9Dj0I/QR9ALz9PPm89nzzfPC87jzqvOZ84DzY/ND8yLzAvLk8snyrvKU8nryYPJG8i3yE/H58d7xwvGm8Y3xefFo8VfxQfEj8Pvwz/Cl8IPwbvBj8GHwY/Bl8GfwaPBl8FzwTPA08Bjv/e/n79bvyu/D77/vwO/G79Dv3e/p7/Dv7+/n79jvxO+v75vvi++C74Pvje+g77vv2u/78B3wPfBc8H3wofDN8QDxN/Ft8Z7xyPHt8hDyM/JX8nrym/K48tLy6/MD8xrzNPNS83rzrPPs9Db0iPTe9Tf1jfXb9hz2TPZx9pD2tfbi9xb3R/dw94z3ofe499X3+fge+D74WPhz+JH4tvjd+Pz5D/kY+SL5Nvla+Yr5u/nj+fz6D/on+lH6j/re+zL7gPvC+/z8Nfx0/L39Cv1V/Zr92P4T/lT+nv7z/0//swAiAKABMQHPAm4C/gNyA8YEBAQ4BG0EpwTkBR4FVQWLBcgGEQZkBr8HHAd7B9sIPQieCPYJOwlmCXkJewl3CXYJfQmMCaUJygn+CkUKnAr8C1oLrwv5DDwMfwzIDRYNZg2xDfUOMQ5oDqAO2g8XD1QPjA/AD+8QHxBTEIwQyxELEUoRhRG9EfUSLxJsEqkS5RMfE1YTjBO+E+0UFhQ7FF0UgRSoFNIU/RUnFU0VcxWZFcIV7RYZFkMWahaNFq4WzhbuFw8XMxdaF4UXsBfYF/oYFhgwGE0YbhiRGK4YvhjBGLgYqhieGJgYlxiYGJgYlhiSGI8YjhiPGJAYkhiUGJQYlBiWGJkYnRihGKIYohigGKAYpBimGKAYjhhvGEkYKRgWGA4YCBf3F9QXohdtF0AXIRcJFvIW1Ra1FpoWiBZ7Fm4WXBZLFksWaxawFwwXZBebF6IXfxdEFwsW4hbMFsYWyBbQFt8W9xcTFzAXQxdJF0AXKxcPFvAW0hazFpIWbxZHFhsV7hXCFZwVfhVoFVoVURVLFUcVQBU2FScVFBT/FOgUzhSuFIMUTBQNE8gThRNEEwYSyxKRElsSLBIGEekR0xHAEZwRjRGEEX8RexF0EWsRYxFfEWMRaxF1EXsRgBGIEZURqhHBEdcR6BH1EgESEBIiEjYSSBJWEmQSdhKQErMS1xLzEv8S+hLoEtASvBKtEqESkxKCEm0SWRJMEkUSQRI6EikSDRHpEcQRoxGFEWkRTBEuERIQ/RDxEO0Q7xDwEOwQ3xDIEKUQdhBAEAsP3w/BD7IPqQ+cD4IPWg8rDv0O2A68DqMOhw5jDjcOCg3gDb0Nmw1xDTkM7gyWDD4L9QvHC7cLvgvNC9kL3QvcC90L5gvzC/4L/QvsC80Lpgt7C1ALIwrxCrwKiQpbCjUKFAn2CdgJvAmlCZUJiAl3CVgJKQjuCLAIdwhHCBoH5weqB2AHEgbJBowGXQY3BhIF6AW5BYkFXQU3BRcE+ATYBLUElAR7BGwEZgRiBFgERQQqBA4D9QPgA8sDsQOPA2UDNgMIAt4CuQKXAnYCVgI0AhAB6QG/AZIBYwEwAPQAqQBN/+P/cP8A/pv+Rf3+/cH9i/1Z/Sr8/PzM/Jn8Yvwq+/X7yful+4j7bvtS+zL7D/ro+r/6lfpu+kz6Mfob+gb56/nJ+aL5e/la+T75I/kF+OT4wfij+I34f/h5+H74k/jA+Qf5XPmp+dn52/mz+XD5KPjo+LX4iPhX+B333fec92D3Lfb+9tP2qfZ99lH2JPX09cX1mPVx9VX1RvVB9UL1RPVB9Tf1IvUF9OX0yfS09Kj0ofSX9IT0ZvQ+9BHz5fO9853zhfNx82HzUfM/8ynzEvL68uPyzfK38p7ygPJf8jryEvHp8b7xkvFo8T/xGfDz8M7wqfCF8GLwQvAk8Anv8u/h79Xvze/D77Lvlu9y70rvJe8G7u/u3+7X7tnu6O8B7x/vO+9S72Tvee+W773v6fAS8C/wO/A48CjwD+/y79bvwu+978nv4vAC8B/wMvA68DvwOfA58D7wSPBU8FzwXfBQ8DXwD+/k77rvku9s70bvHe717tXuwe667r7ux+7T7uDu8e8D7xLvGe8W7w7vDO8X7y7vRu9R70nvNO8l7y/vWe+a79/wFPA08EbwVfBo8Hnwf/By8FXwOvAw8EDwZPCP8LHwwvDG8MbwyPDR8N/w8fEE8RfxI/El8Rfw/PDg8M7wz/Dl8QvxO/Fz8bPx/PJK8pby2fMR80TzfPO99Ab0TfSI9Lb03fUG9Tj1cfWt9eT2E/Y+9mr2nPbS9wr3QPdz96n34/gj+Gb4qvjq+Sb5Yvmg+eP6KPpv+rT69vs1+3T7tPv2/Dn8ffzC/Qv9WP2r/gT+YP6+/xv/ef/YADUAjQDbARsBTwF6AaIBzQH7AisCXQKMArkC5QMSA0EDcAOfA8gD6gQEBBYEIwQsBDQEPQRLBGAEfQSjBM4E+wUmBU4FdgWjBdcGEgZMBnwGnwa4Bs8G7gcWB0YHdgegB8IH2wfwCAEIDQgUCBUIEwgMCAIH9AfhB84Hvwe5B78HzwfoCAYIKAhMCHAIjwiiCKYImwiCCGAINQgDB9AHoweIB4oHpwfXCAcIJggoCA0H3QelB28HQAccBwIG9AbuBu8G8gbyBu8G7AbrBvEG/gcQByAHLQc0BzgHPQdHB1UHZwd6B4oHlgeeB6UHrwe8B88H5ggBCB4IPQhfCIEIoQi7CMoIzgjICMAIwAjUCQEJRQmVCd0KCgoQCesJmwkjCIAHrAahBWUEDQK+AaAA1QBtAGMAoQEMAYoCBwJzAsUC+QMQAxUDEgMTAx0DLQM3AzQDHwMAAuIC0QLLAskCuwKZAmQCLAIHAgMCHQJCAlkCUQIpAfEBwgGtAbEBwwHQAcwBtwGbAX8BaQFSATQBCQDTAJwAbQBLADgALQAiAA7/7//E/5P/YP8v/wD+zP6L/jf90/1o/QT8sPxx/ED8Gfv5++T74vvy/Av8GfwN++H7pftv+1f7ZfuO+7v71vvX+8T7sPuq+7b7zPvg++j74vvX+9D70fva++X78Pv7/Az8KPxQ/IH8svze/QL9Jf1Q/Yr91f4r/ob+3f8r/3T/ugABAEwAmQDnATIBeQG7AfcCLwJiApACuwLjAwcDJgNBA1gDbQOCA5cDrAO+A80D1wPdA+ED5APlA+UD5gPoA+oD7APqA+UD3APTA8sDxQPAA7gDrgOiA5gDkQOMA4UDeQNoA1MDPgMqAxcDAQLoAswCtAKiApcCjwKFAnUCYAJKAjcCJwIZAggB8gHaAcABqgGWAYQBbwFXATwBIQEGAO4A2ADFALMAogCSAIEAbwBaAEUALwAY////4//F/6b/iv9x/1r/Qf8k/wT+5P7G/q3+mf6G/nH+WP46/hb97v3E/Zv9df1T/TT9Ffzz/M78qfyG/Gf8Svwr/Af74Pu6+5n7f/tn+037LfsI+uT6xPqr+pb6gvpt+lf6Q/oz+ib6HfoU+gr6APn2+e354/nY+c35wvm4+a35ofmS+YD5a/lT+Tj5Gfj6+OH42fjp+RL5TfmN+cT55/n3+ff58fns+ez57/ny+fH56fnc+cz5wvnC+dH57PoK+ib6N/o7+jb6Kvoc+g76Afn3+fL58fnx+e354PnJ+a35kvmB+Xz5gvmL+ZT5mvmh+az5u/nK+df54fnu+gn6OPp4+rj63/ra+qT6TPnt+aH5dvll+V35Tfkt+QP43PjC+Lf4tfiz+Kr4nfiQ+Ij4hfiH+Ij4ifiJ+Ij4hfh8+Gv4Ufgx+BL39/fm99/34Pfn9/H3+vf/9//3+vf09+735/fb98X3pPd991b3OPck9xX3BPbp9sT2mvZy9k72LfYL9eL1svV+9Uz1IvUA9OP0x/Sr9I30cPRU9Dz0KPQa9A/0B/P/8/Tz4vPL87Dzk/N281rzP/Mj8wfy6/LR8rnyovKL8nLyVvI58hzyAvHs8dvxzvHB8a/xlfFv8UHxD/Dh8L3wp/Cc8JjwlvCS8I7wiPCA8HTwY/BM8DHwF/AD7/bv7+/t7+zv7+/28ALwEfAh8CvwLfAl8BbwA+/u79nvxu+376/vr++478vv5PAC8CDwPvBc8HzwofDP8QXxQPF78a/x2/H/8iDyQfJk8obyp/LD8tzy8/ML8yjzS/N186fz3/Qe9GH0qfT49Uv1oPXw9jL2YvaD9p/2vfbj9w33MfdJ91b3X/dx95H3vffq+A/4KPg7+FD4aviI+KH4sfi5+MT42/kD+Tf5bPmX+bT5yPng+gX6PPqE+tP7Ivtt+7T7+/xE/I781v0Z/Vj9mP3h/jf+m/8H/3T/3wBLAL4BQAHNAlwC4ANOA6ID5gQjBGQEqQTsBSgFXAWNBcYGDQZkBsUHKQeKB+kIRQidCOwJKwlTCWcJawlrCW0JdgmECZoJugnrCjEKiwrwC1QLrAv1DDIMbAytDPYNRQ2TDdsOGg5TDosOxg8DDz8PeA+rD9oQChA+EHcQthD1ETIRahGiEdoSFhJWEpYS0xMNE0MTeBOrE9oUAxQmFEUUZBSIFLEU3BUFFSwVUBV3FaIV0RYAFikWTBZpFoUWpBbIFu8XGRdEF3EXnRfIF+4YDxgsGEkYZxiIGKgYwhjSGNUYzRjBGLQYqhikGKIYoRigGJ4YmhiXGJUYlBiUGJMYkBiPGJAYlBibGKIYpBihGJ0YnBidGJwYkhh7GFsYOxglGBwYGxgUF/wX0hedF2oXQRcjFwoW8RbXFsAWrhagFpEWfBZlFlgWYhaIFsIW/RcjFyoXFRbwFs4WtharFqgWqRatFrkWzxbuFxEXLxdAF0AXMBcUFvEWzhatFo8WcBZLFiEV8RXBFZgVeRVlFVoVVRVPFUcVOhUpFRUVAhTwFN8UyxStFIEUSBQEE70TeBM4EvkSuxJ/EkcSGRH1EdoRxBGvEZMRfhFxEW0RbRFsEWgRYhFfEV8RYxFpEW8RdhGDEZcRsxHREe0SBRIbEjMSTxJtEoYSlxKfEqMSqRK2EsoS3xLuEvES7BLhEtcS0BLJEr4SqxKTEnsSaxJmEmoScBJvEmESRxIkEgAR3xHAEaERgRFhEUMRLBEeERYRExEQEQwRBRD5EOYQxhCbEGkQORATD/wP8Q/rD94Pxg+gD3MPRA8YDu0OwA6QDl4OLQ4BDdwNvA2YDWcNIwzPDHcMKgv3C+ML6Av7DA0MGQwfDCQMLAw0DDYMLQwVC/UL0wu2C5oLewtUCyQK8QrBCpgKdApQCicJ+QnMCaUJhAlnCUYJHgjtCLgIhghaCDEIBQfQB4wHPgbrBpwGWAYgBfAFxQWaBW8FSAUmBQgE6wTMBKkEhgRqBFkEVQRXBFcETgQ8BCMECgP0A98DyAOpA4IDVQMlAvYCyAKcAnICSQIgAfcBzQGhAXEBPwEGAMIAbAAC/4j/B/6O/in92/2h/XP9Sv0f/PP8xvyZ/Gr8OfwH+9b7qfuC+2D7Pvsb+vT6yPqZ+mv6Qfog+gr5/vn2+en50fmu+YX5X/k/+SX5Cvjp+ML4mPhz+Fb4Qfgy+DD4RPh5+M35MvmK+bv5uPmG+T349vi/+Jb4bvg89/z3tvdy9zf3Bvba9q72g/ZX9iz1//XO9Zn1ZvU69Rr1CfUE9QX1B/UF9Pz06/TS9LX0mfSC9HL0Z/RZ9EL0IPP288jznfN5813zSPM48yrzHvMS8wXy9/Lp8tvyy/K38p7yffJW8izyA/Ha8bTxjvFo8ULxG/Dz8MvwpPB+8FrwN/AW7/Xv1u+776bvle+E73DvVe817xPu9e7d7sruuu6u7qnur+7B7tzu+e8U7y/vUe9+77jv9fAp8EnwUPBC8CrwEO/47+Pv0e/C77rvvu/Q7+7wEPAt8D7wQfA68DHwLfAy8DvwQfA88CrwDO/p78Pvl+9i7yDu2O6U7mPuTe5N7lvuau5z7nvuhe6X7q3uwe7P7tru6u8G7y7vVO9o72LvR+8s7yfvQ+9577fv6vAL8B7wMPBG8FzwZfBY8DbwEe/67/3wGfBA8GLwd/CB8IfwjvCW8KDwqPCx8LzwyfDU8NbwzvDC8Lrwv/DY8QLxO/F98cXyEvJd8qDy2vML8z3zePO99Aj0T/SJ9LX03PUH9Tr1c/Wt9eD2DfY39mb2mvbU9w73Rfd596735vgi+GP4pPjj+R/5WvmX+dn6Ifpu+rz7BftI+4X7v/v6/Dn8f/zJ/Rj9av2+/hb+cf7Q/zL/lP/0AFEApQDvAS0BXwGKAbMB3QILAjwCbgKfAs8C/QMtA14DkQPEA/MEGgQ2BEYETgRRBFQEWwRoBH0EmQS+BOgFEwU/BWkFlAXEBfkGMQZnBpQGtwbXBvkHIwdTB4EHqAfEB9kH7AgCCBcIKQgyCDMILwgpCCIIFggFB/AH3QfRB9QH4wf+CCAIRQhtCJMIsQjDCMQItgicCHkITwgfB+0HwQepB6wHywf7CCwITAhTCEAIGgfoB7EHewdLBycHEwcNBxAHEgcPBwgHAgcFBxEHJQc5B0cHTgdSB1cHYQdxB4IHkwehB6wHtgfAB8sH1AfdB+gH9wgMCCgISAhpCIcInwiuCLUIswitCKsItAjUCQwJVwmlCd8J7wnICWYI0AgPBywGLAUSA+wCzgHUARoAsgCeANEBNQGuAicCkALgAxUDMQM8Az4DPAM7AzoDNQMqAxUC+wLeAsMCrwKhApECegJUAiEB7QHHAb4B0wH7Ah8CKAIOAdkBnwF3AWsBeQGQAaABogGYAYkBfAFuAVkBOAEHAM4AlQBnAEkAOwA6AEAARABCADYAIAAB/93/tf+I/1H/Df6+/mb+C/20/WL9FfzM/Ij8SvwR+937qvt3+0b7G/sB+vr7Bvsc+zH7PftB+0b7U/tx+537zPv4/Bj8L/xE/F38ffyj/Mv89f0h/VP9jf3N/gz+Q/5s/or+pf7G/vj/Ov+I/9oAJgBnAJ8A0QEDATkBcwGuAeYCGQJEAmgChwKjAr8C3QL8AxkDNQNMA2EDdQOIA5oDqgO1A7wDvwPCA8MDwwPAA7sDtQOyA7MDtAO0A64DogOVA4kDgQN7A3MDaQNdA1MDTgNMA0kDQgMzAyEDDQL8AusC1wK9AqAChQJwAmMCWgJQAkACKQIQAfkB5QHUAcIBrwGZAYQBcAFcAUYBLAEPAPEA1wC/AKoAlgCBAG8AXgBPAD4AKwAV//z/5P/O/7j/of+H/2n/Sv8s/xH+9/7b/rz+nP59/mL+Sf4x/hr+Af3m/cr9rP2L/Wj9RP0h/P/83fy5/JH8afxD/CL8Bfvq+8z7qfuE+2D7Qvso+xD69PrU+rH6kPpy+ln6RPoy+iD6D/n/+fD54vnU+cn5v/m3+bD5qPmg+Zb5i/mA+Xb5avle+VP5SPk7+Sn5C/jh+LD4hfhv+Hn4pvju+UL5kvnP+fX6CPoO+hD6EfoO+gH55fm9+ZH5cPlj+W35iPmm+b75y/nQ+dP51/nb+dz52fnU+dP52fnh+eX52/nE+af5jvmC+Yb5kfma+Zr5k/mO+ZP5pvnB+dn56Pnw+f36G/pP+o/6w/rV+rj6cvob+cz5l/l8+W75W/k8+RX48Pja+NL41PjT+Mr4uPil+Jn4lvie+Kv4ufjG+M740PjI+LX4lvhw+En4JvgM9/73/PgE+BH4Hvgl+CX4H/gY+BP4EPgK9/r33Pey94b3YPdF9zH3HPcC9uD2u/aa9oD2a/ZV9jb2DvXf9a/1hPVe9Tz1GfT09M30p/SF9Gr0VvRI9D/0N/Qv9CL0D/P4893zwvOo847zdPNX8zfzFvL18tjyvfKj8onybvJU8j7yLvIk8h3yFPIE8erxxfGW8WTxMvEG8OXwz/DC8LrwsvCo8J3wkfCF8HjwZ/BT8DzwKPAa8BPwEvAS8BPwFfAb8CjwPPBR8GTwbfBt8GTwVvBD8C7wFu/+7+vv4O/f7+nv+vAP8CbwPPBV8HLwl/DF8PvxNvFy8ajx1/H+8iHyQvJj8oTyo/K/8tjy8vMQ8zbzZPOZ89L0DfRJ9IX0xvUM9Vj1p/Xv9ir2VPZw9on2p/bN9vT3E/cj9yX3Jvcx90/3evek98T30/fZ9+H38/gO+C34R/hc+HH4jfi0+OX5F/lB+WL5fvmc+cX5+/o8+oX60Psc+2n7t/wE/E78k/zV/Rn9af3K/j7+vf8+/7UAIACDAOcBVAHNAkwCxQMvA4gD1AQbBGMEqgTsBSQFUwWBBbkGBQZlBtUHSAe3CB0IdgjDCQAJKwlCCUgJRQlCCUYJUQllCX8JownVChsKdArYCzwLlQveDBsMVQyUDNwNKw15DcIOBA5ADnsOtw70DzAPZw+ZD8gP+BAsEGcQpBDiER4RVhGNEccSBhJIEooSyBMBEzcTaxOeE88T+RQcFDoUWBR6FKEUyxTzFRcVORVeFYoVvBXtFhgWORZVFm8WkBa3FuMXEBc8F2gXlhfEF/EYGBg3GE4YYxh5GJQYsRjLGN4Y5RjiGNcYyhjBGLwYuxi7GLoYtBitGKUYnxibGJYYkBiJGIYYiBiPGJkYnhicGJUYjxiNGI4YjRiCGGsYThg1GCcYIhgeGA8X7he/F40XYBc8FyEXBxbtFtUWwBawFqAWjhZ4FmUWXBZhFnIWhRaSFpQWjhaHFoUWiRaNFo0WihaJFpEWqBbMFvYXGxcxFzIXIRcCFt0WuhacFoIWZxZIFiAV8xXFFZ0VfxVrFV0VUhVGFTcVIxUMFPUU3hTMFLwUqRSOFGcUMRPzE7ITcRMyEvMSsxJ1EkASFhH4EeARyBGuEZQRfhF0EXURexGAEX4RdxFtEWURYBFeEWMRbxGFEaQRxxHoEgQSGxIzElAScxKYErgSzhLaEt8S5BLqEvAS8hLtEuQS2hLWEtgS3RLcEs8SthKYEn0SbxJxEnwSiBKKEn8SaBJKEi0SERH3EdwRvxGhEYURbBFXEUURNBEmERsRFREUERIRCBDxEMwQoBB1EFQQQRA5EDIQIxAFD9kPog9lDyYO6Q6sDnEOOQ4IDd4Nug2WDWkNLQziDJIMSwwcDAoMEQwnDD4MTwxaDGIMagxwDHAMZQxODDIMGAwDC/AL2Au1C4ULUAsdCvAKyQqhCnIKOwoACccJlglsCUcJHwj0CMQIlQhoCEEIGwfxB7oHdAcfBsQGawYfBeEFsQWIBWIFPgUcBPwE3AS7BJgEdQRXBEYEQgRHBE4ETgRCBC4EFQP+A+gD0gO3A5QDagM5AwQCzwKaAmcCOAILAd4BsQGAAUsBEgDRAIIAIf+r/yb+nv4k/cb9hf1d/UD9Ivz+/NP8pvx6/E/8Jfv5+877o/t5+1H7KPr8+s76nvpu+kL6HvoH+fz5/Pn++fv56/nO+av5ifls+U/5LfkA+Mr4k/hi+Dr4G/gC9/b4BPg5+Jb5B/lq+aD5m/ll+Rr41/im+IP4W/gh99b3hfc99wP21/aw9of2XfYw9gP11fWg9Wj1MPUA9N/0z/TM9M700PTO9MX0tPSa9Hv0W/RB9C/0IvQU8/7z3fO084nzY/NG8zDzH/MR8wTy+fLu8uTy1/LK8rzyrPKa8oLyZPJB8hvx9vHU8bLxkPFr8UTxG/D08M7wqvCI8GjwSPAm8APv3e+275LvcO9S7zXvFu737tvuxO6y7qPulO6E7nfuc+577o3upu7D7uPvDO9B73/vu+/o7/zv+O/o79vv2u/n7/jv/+/47+bv1e/S7+TwBfAo8EDwRfA68CrwH/Ac8B3wGPAH7+zvzu+176Dvhe9W7w7utO5d7h/uBe4L7h7uLO4s7iLuGO4Z7ifuPu5W7m/uje647uzvIe9H71bvTu897zbvRO9l747vsO/E79Dv3e/x8AvwH/Ak8BjwBO/27/fwB/Ad8DDwPfBI8FTwZfB08H7wf/B68Hfwe/CG8JPwnvCl8K7wwPDe8QnxQfGD8cvyGPJi8qTy3PMN8z7zd/O69AH0RPR+9K/03vUQ9Uj1gfW29eT2DfY39mj2ofbe9xv3U/eI97v38Pgp+Gb4pPjh+Rz5VvmS+dT6Hfpt+r77C/tP+4v7wvv8/D/8ifza/S39f/3S/ij+hP7l/0r/rgAPAGkAugEBAT4BcAGbAcMB6wIYAkoCgAK3Au0DIANQA4ADsQPjBBUEPwReBHAEdQR1BHYEewSIBJsEtQTWBP0FJwVVBYIFsQXjBhcGTAZ+BqoG0Ab2Bx8HTQd9B6YHxAfZB+wIAAgYCCwIOAg3CCwIHwgWCBIIDggFB/gH7AfpB/MICQgoCEoIbgiRCLAIyAjUCNQIxwixCJMIbQg/CA8H5QfPB9QH8QgcCEQIXghmCFwIRggkB/cHwQeKB1wHQQc4BzkHOQc0ByoHIwcoBzkHTwdiB2wHcAd0B34HjwekB7YHwQfIB88H2wftB/8ICwgRCBMIFwgkCDoIVQhwCIUIkgiZCJ4IowiqCLgI0Aj2CSsJZgmWCaQJewkRCGkHjwaWBYsEfANyAn0BsAEdANEAzgEHAWcB2AJHAqYC7QMcAzYDQwNJA08DVANVA0sDNgMYAvcC2AK9AqUCjAJxAlQCNAIPAeQBtQGLAXYBfwGlAdcB+wH6Ac8BiAFBARMBCQEdAT0BVgFfAVkBTQFBATcBKQESAO8AwQCQAGQARQA3ADkARwBXAGEAYQBWAEUAMQAdAAb/6P++/4X/Qf73/qv+Yf4Z/c/9gv0z/Ob8n/xl/Dv8IfwU/BD8EfwT/Bf8HPwm/Db8UPxz/J38yfzz/Rr9P/1k/Y39uv3q/h7+Vf6Q/tD/E/9W/5H/vv/c/+3//AASADUAaACmAOUBHQFLAW0BiQGlAcUB6gISAjsCYAKBApwCsgLGAtoC7wMGAx0DMwNGA1cDZwN1A4EDigOOA5ADkQOTA5cDmAOWA44DhQN9A3kDdwN1A24DYQNSA0YDPgM5AzQDKgMeAxMDDAMKAwoDBQL7AusC2wLLArwCqwKUAngCWwJDAjICJwIdAg0B+AHgAcYBrgGXAYEBbAFYAUUBMgEeAQYA6ADJAKsAkwCAAHAAXwBNADkAJgAVAAP/7P/R/7P/mP+A/23/W/9F/yn/Cf7o/sn+q/6N/m/+Uf4z/hf9+/3e/cD9o/2I/XD9Wf1A/SL9APzc/Lr8mfx3/FP8K/wD++D7w/uq+5L7dftS+y37Cvrs+tL6ufqe+oD6YfpC+ib6D/n7+ev52/nM+bz5q/ma+Yr5fvl1+XD5bPln+WD5VvlK+T35L/kj+Rv5Gfkb+Rr5DPjr+Lf4d/g8+Bn4G/hI+Jn4+/lc+az55foI+h/6Lvoz+in6CPnR+ZH5Wfk5+Tf5Svll+Xz5ivmU+Z/5q/m2+bn5tvmy+bX5wvnW+eT54vnP+bP5nvmY+aP5svm7+bX5pfmV+ZL5oPm7+df56fnx+ff6CPot+mD6k/qv+qX6dfou+eX5rPmI+XL5XvlF+Sb5Cvj6+Pj4//kF+QT4+fjq+N341/jZ+OL48fkC+RH5GPkS+P743fiz+If4YPhC+C/4Kfgt+Dj4RPhL+Er4Qvg6+Db4OPg4+DD4Gff098n3n/d992L3Rvcm9wD22va69qP2lPaF9m/2T/Yp9f/11/Ww9Yj1XPUu9P701PSx9Jf0hfR39Gv0X/RS9EP0MvQc9APz5/PK86zzjfNt80nzJPL/8tzyu/Kd8oLyavJX8kzyR/JH8kXyO/Il8gHx0vGf8W7xQfEb8P3w5fDT8MTwuPCs8J/wk/CG8HjwaPBX8EfwO/A18DfwPfBD8EjwS/BS8GDwdfCN8KHwrvCx8KzwovCS8HzwYvBF8CvwG/AV8BnwI/At8DjwRPBV8G3wjvC48OrxIPFZ8ZHxxPHw8hfyOvJb8nrylvKw8svy6PML8zbzafOh89v0FvRR9I70z/UU9Vz1ovXg9g/2MPZG9l32fPak9s327vb99v32+/cC9xr3Pvdf93P3dPds92n3dveX98T38/gd+EH4YviF+Kr4z/jx+RH5M/la+Yv5xvoH+k36lfrf+yz7efvF/A78VPyf/PT9Xf3a/mj++v+E//wAYgC7ARMBcgHcAk0CvgMlA4AD0AQZBF0EnQTWBQYFMQVhBaAF9wZmBucHbwfxCGUIwwkJCTYJSwlKCTsJJwkXCRQJHgk1CVYJggm5Cf8KUwqvCwsLYAurC+4MMQx4DMQNEw1gDagN6g4pDmgOpg7kDx8PVQ+GD7YP6BAdEFYQkhDOEQgRQBF5EbUR9RI4EnsSuhLzEygTXBOOE78T6xQQFDEUUxR4FKEUyxTxFRAVLRVNFXQVpBXVFgIWJxZHFmgWjxa8FusXFxc/F2UXjhe9F+8YHRhBGFkYZxhzGIQYnRi7GNkY8Bj7GPsY8hjmGN0Y1xjVGNMYzhjHGL4YthiwGKgYnRiRGIUYgBiDGIsYkhiTGIwYgxh9GH8YhBiEGHcYXhhAGCcYGBgPGAQX8BfQF6gXfxdZFzcXFxb3FtgWvhapFpoWixZ6FmcWVBZDFjYWKhYfFhkWHBYrFkIWWhZqFm4WahZoFnMWkBa8FusXERciFx0XBhbmFsYWqRaSFnwWYxZDFhwV8hXKFagVjRV2FWIVTBU2FR4VBRTsFNIUuhSlFJMUgBRmFEIUFBPdE6QTaxMwEvMStBJ3EkISGxH+EeYRzRGwEZgRiRGHEY4RmRGgEZ8RlxGJEXoRbRFmEWkReBGUEbcR2xH6EhISJxI/El4SgxKpEskS4BLxEv4TCRMRExETBhLyEtwSzhLNEtgS5RLqEt4SwxKgEoIScRJvEnYSfxKBEnoSbRJdEk0SPRItEhcR/hHiEcYRrRGWEYARahFWEUYRPRE7ET0RPBEzERsQ+RDQEKsQkBB/EHQQZRBKECAP5g+hD1gPEA7KDokOTQ4WDecNvQ2SDWINJQzeDJQMVQwsDB8MLAxGDGIMeAyHDJIMnQymDKkMowyTDH8MawxZDEgMMQwNC94LpwtwCz4LEArgCqoKbAoqCekJsAmACVcJMQkJCN0Irgh+CFIIKwgEB9cHnAdPBvQGlgZABfoFxQWcBXcFUAUnBP4E1gSvBIoEaARLBDoENQQ8BEYETARGBDUEHQQDA+oD0gO4A5kDcAM/AwgCzAKRAlkCJAHzAcMBjwFXARkA1ACGACr/vf8//rf+NP3E/XT9RP0s/Rz9B/zp/MH8lPxo/D78FPvp+737kftk+zj7C/rf+rT6jPpo+kn6Mfog+hn6Gvoe+iD6GfoI+fD51fm4+ZT5Y/kj+Nr4k/hW+Cj4BPfn99X33fgN+Gj43PlF+YH5gPlM+QT4w/iV+HD4Qvf996X3S/b/9sn2pPaE9l/2MvYA9c71mvVk9Sz09fTI9Kv0nfSb9J30nfSa9I/0ffRh9ED0HPP/8+zz4fPX88XzqPOC81rzN/Mc8wfy9/Lo8tvyz/LE8rjyqPKW8oPycvJi8lHyO/Ig8gHx4fHB8aHxf/Fb8TjxFvD38NrwvvCh8IPwY/BC8B3v8+/E75TvZu887xfu9+7b7sPur+6d7ovud+5g7kzuQe5E7lXub+6N7q7u0+787ybvSe9a71bvRu8470DvZe+h7+HwDvAc8BDv+e/r7/LwCvAm8DfwNvAo8BnwEfAP8Ajv8O/F75PvbO9f72jvdO9p7zju5u6L7kPuH+4d7ivuNO4t7hft/+3w7fDt++4N7iHuOe5Z7oPute7m7wzvJe8z7zzvR+9Y72nvde9673vvf++L76Dvue/O79zv4+/p7/Hv+vAC8AbwCfAS8CLwOvBS8GPwZ/Bi8FzwXfBl8HPwhPCV8KjwwfDh8QrxPfF58b/yDPJY8p7y2PMI8zfzbfOs8/H0N/R29LD05/Ug9Vr1kfXD9e32FvZE9nn2tvb19zH3aPea98v3/vg0+G34qPjj+R35V/mT+dL6Fvpg+q369/s8+3r7ufv8/Ej8m/zw/UT9lf3n/j7+mv78/2D/wQAdAHQAxAEMAUoBfgGpAc8B9QIhAlUCjwLMAwUDOQNnA5MDwgP1BCsEXASBBJYEnQSbBJoEnwSsBMAE2gT5BR8FSgV5BakF2AYHBjUGZAaSBr4G6AcTB0AHbAeWB7cHzwfhB/QICggfCC0ILAgdCAcH9gfvB/IH9wf7B/sH/ggLCCMIQwhlCIUIoQi6CNAI4AjnCOUI2wjJCK8IighbCCcH/QfrB/cIGQhDCGQIdAh0CGwIYQhQCDMICQfVB6QHggdxB2oHZAdZB0sHQwdGB1YHagd7B4UHiweUB6UHvAfRB94H4wflB+wH/QgXCDAIQQhGCEQIQwhICFUIYwhuCHMIdQh8CI8IrQjUCP0JJQlMCXAJiQmGCVEI2wggBy0GGAT7A+kC7wIXAW4A/gDSAOgBMgGbAgwCdALIAwgDMwNKA1IDUQNPA1EDVQNVA0gDLQMHAuECwgKqApMCdQJOAiMB+wHWAbEBhgFXATEBJQE+AXQBqgG/AaABUgDvAJ4AegCIALUA5gEFAQsA/gDrAN4A2gDZANMAwQCiAHwAWQBCADkAPgBKAFcAXgBfAFwAVgBRAEwARAA2AB3/+v/P/6D/bv89/wr+1f6d/mb+Nf4O/fL94P3T/cb9uf2x/bL9vP3P/eb9/v4W/i3+R/5j/oL+o/7F/uj/Dv83/2T/lf/KAAIAOQBsAJUAsQDAAMYAzADZAPQBHAFOAYABrAHNAeQB9AIBAhECJQI+AlgCdAKPAqgCvQLQAuIC8gMDAxQDJAMyAz4DSANRA1gDXANdA10DXQNgA2UDaQNoA2EDVwNLA0IDOwM0AyoDHAMOAwMC/AL5AvUC7QLhAtQCzALJAsgCxgK/ArICowKUAoUCdQJgAkcCLQIVAgIB9AHoAdkBxgGwAZcBfgFlAUsBMgEaAQUA8QDcAMQApwCKAG8AWQBJADkAKAAT//z/5v/S/73/pv+K/2z/T/82/yL/D/75/t7+vv6d/n3+Xv5B/ib+C/3y/df9uv2Z/XX9Uf0x/Rf9Afzo/Mr8p/yC/GH8RPwo/Ar75/vB+537fvtm+1H7OPsZ+vb60vqx+pX6e/ph+kf6KvoP+fT53fnJ+bf5p/mX+Yb5dfli+VH5Q/k6+TT5Mfks+Sf5HvkT+Qb49/jr+OP45Pjs+Pf4/fj0+NT4nvha+Bn37vfp+A/4Wfi1+RH5Xvmc+c/5+/oe+i/6Ivn2+bP5bfk5+SD5H/ks+Tz5S/lb+Wz5fvmJ+Yn5gvl9+Yb5n/nB+dz54/nU+bz5qPmm+bP5x/nT+c/5wPmu+aT5qPm4+cv52/nk+ez5+PoS+jf6Xvp5+nv6Xvoq+e35tvmQ+Xj5aflZ+Uf5NPkn+SL5Jvkv+Tn5P/lB+T35N/kw+S75Mvk8+Uj5TvlI+TP5Evjr+MT4o/iJ+Hb4bPhp+G34dPh3+HP4afhd+Ff4WPhb+Fn4Svgt+Aj34ve/95/3fvdY9y73Bfbk9s/2wfa19qP2iPZm9kD2GvXy9cb1lPVf9S31AvTi9Mz0u/Sr9Jj0hPRw9Fz0SfQy9Bfz9vPS86/zjfNt803zKvMG8uDyu/Kb8oDybPJf8lnyV/JX8lPyRPIo8f/xz/Gg8XbxUvEz8RXw+fDg8MvwvfCy8KnwoPCV8IrwffBx8GbwYPBg8GbwcvB/8IvwlfCf8K3wv/DQ8N7w4/Dg8NjwzPC+8KrwkvB38GDwUfBN8FDwVPBX8FfwWvBk8HjwlPC38OHxD/FD8Xrxr/Hh8gryLvJM8mjygvKc8rfy1vL78yTzVPOH873z9/Q09Hb0u/UC9Ub1hfW79eX2BfYf9jz2XvaH9q/2y/bX9tT2zvbS9uX3Bfck9zT3Mvck9xv3I/dF93v3uff2+Cn4U/h0+JD4qfjC+N75Afku+WT5oPni+ib6bvq4+wT7Ufua++L8LPyC/Oz9bf4E/qT/QP/MAEAAoQD1AUgBoAIAAmYCygMpA34DyQQMBEYEewSrBNkFCwVGBZIF9AZuBvoHjwggCKAJBQlJCWwJcAlcCTsJFgj5COoI7wkFCSwJXwmdCeQKMQqCCtMLIQtsC7cMBAxUDKYM9Q1ADYUNxw4JDksOjQ7NDwgPPg9xD6MP1hAMEEQQfRC2EO8RKBFjEZ8R3xIgEmESnxLYEw0TQBNyE6IT0BP6FCAURxRxFJ4UyBTtFQoVIhU7FVwVhRWzFeEWCxYzFl4WjRbAFvEXGhc8F1oXfRepF94YExhCGGMYdxiEGJAYoRi6GNgY9hkNGRcZFBkIGPgY6xjjGOAY3hjbGNUYzxjIGMEYtxipGJkYjBiHGIoYkBiTGI4YhRh9GHwYghiIGIUYcxhUGDEYFRgEF/sX8BffF8MXnxd2F00XJRb+FtsWvhanFpYWhxZ3FmQWThY2Fh0WBBXvFeMV5xX7FhsWPBZTFl0WXhZhFnMWlxbIFvYXFRccFwwW7xbPFrQWoRaQFnwWYBY8FhIV6RXFFacVjRV0FVgVOxUgFQYU7xTZFMMUrhSaFIcUcRRVFDAUARPOE5oTZxM0Ev4SxRKLElcSLBIJEesRzRGwEawRoBGeEaMRqRGrEakRohGXEYoRfRF2EXkRiBGiEcAR3RH2Eg0SJhJEEmgSjBKpEr8SzxLgEvUTCxMbEx0TDhLzEtcSxxLIEtgS7BL3EvES2RK2EpISdhJlEl4SXRJdEl4SYBJjEmUSZBJbEkgSLBINEe4R1BHCEbYRrRGlEZoRjBF9EW4RXhFOEToRHxEAEN8QwBCnEJQQghBqEEYQFg/ZD5UPTw8KDsgOiw5UDiIN8g2/DYMNPAzsDJwMWgwxDCYMNgxWDHkMmAyvDMAMzgzZDOAM4AzXDMkMuAymDJEMdgxQDCEL6wuyC3oLQgsICssKiwpICgcJywmXCWsJRQkiCPwI0giiCHAIQAgSB+QHrwdsBxwGxQZyBi0F+AXQBaoFgQVTBSEE8ATCBJgEcwRTBD0EMwQ2BD8ERwRHBDsEJAQIA+sDzwOzA5MDbAM8AwMCxAKEAkYCDAHUAZ0BYgEgANYAgwAl/7z/Rv7H/kf90f11/Tf9GP0L/QT89/ze/Lv8kvxl/DX8A/vO+5j7ZPsy+wL61fqt+oz6c/pi+lX6Svo++jX6Mfoz+jf6Ovo0+ib6D/nt+b75fPkp+M74ePg1+Ab36PfR98P3yPfy+Eb4tfkf+V/5ZPk1+O74q/h4+Ez4FvfJ92v3DfbD9pP2dPZW9i71+PW89YH1SvUW9OT0t/SS9Hn0bPRo9Gb0Y/Re9FT0RPQr9Arz5/PK87jzsfOr857zhfNh8znzFfL28t3yx/Kz8qTymfKQ8oPycfJb8kXyM/Im8hvyC/H08dbxtPGQ8W7xTvEx8RfxBPD08OXw0fC48Jvwe/Bc8DrwFO/m77LvfO9K7yDvAO7n7tLuv+6q7pLudu5Z7kDuNO437kvuaO6I7qTuuu7M7tbu1e7H7q/ul+6Q7qnu5O8274rvyO/n7+zv6O/t8ALwIfA68EHwM/Ac8AvwB/AI7/zv1O+P70PvDe8C7yHvUe9w72TvK+7a7o7uXO5J7kjuTO5I7jzuLe4j7iDuI+4o7ivuLO4v7jnuUO507qTu1e8B7yDvM+8870HvRe9H70jvSe9L71PvYO9y74bvmu+s77vvxu/N79Hv1u/f7/HwCfAj8DnwR/BO8FLwWPBg8Grwd/CH8J3wuvDe8QfxNvFv8bHx/fJK8pDyyfL38yTzWfOb8+b0NPR89Lz09/Uw9Wf1mvXJ9fT2IfZU9o/2zfcM90X3efer99v4DfhA+HX4rPjk+R75V/mR+cz6C/pO+pT62/sh+2j7svwC/Fj8r/0E/Vb9pv36/lT+tP8W/3X/zwAmAHoAywEWAVcBiwG1AdsCAwIxAmcCogLcAxMDQwNuA5gDyAP/BDsEcwSfBLgEwQTABMAEyATYBPAFDAUsBVEFfAWpBdUF/wYmBk4GeAamBtYHBwc3B2QHjAesB8MH0gffB+4IAAgQCBYIDQf6B+YH2gfcB+cH9Af/CAoIGgg1CFkIgQikCMAI1gjoCPcJAgkFCQEI9wjmCMsIoQhpCC8IAwf3CA8IQAhxCJAIkwiFCHIIZwhhCFYIPggYB+wHxgerB5kHigd4B2cHXAdbB2UHdgeGB5UHowe1B8kH3gfuB/YH+Af8CAcIHAg3CE8IXwhlCGYIZghqCG0IawhgCFQIUAhhCI8I0wkgCWYJmgm3CbsJoAlYCNMICAb9BcgEjANoAnIBswEuAOQA1wEEAV8B1AJKAq4C+AMsA1ADagN4A3kDbgNfA1MDTANFAzUDGQLzAs4CsgKeAokCaQI8AgcB1gGuAYoBXgEnAO4AyADGAOsBIAFDATcA9ACSADUAAQADADEAcQCkALwAuACkAJEAhwCHAIsAigB/AG0AWABHAD0AOwA+AEQASwBTAFgAWwBaAFcAUwBPAEsARAA4ACYAEP/3/97/x/+v/5j/gf9t/1r/SP83/yX/GP8U/x7/NP9Q/2r/fv+M/5j/p/+5/87/4v/0AAUAFwAvAE0AcACWALwA4AD+ARYBJAEqASwBLwE5AVEBdAGgAcwB8gIOAiACKwIzAjsCRgJUAmQCdwKLAp8CsgLDAtEC3gLrAvkDBgMSAxwDIwMqAy8DMwM1AzYDNQM1AzYDNwM1Ay8DJQMZAw0DAgL3AusC3QLQAsUCvwK7ArYCrgKjApcCjgKJAocChQJ/AnQCZgJVAkQCMgIfAgoB9AHgAc4BvgGvAZ8BjQF5AWMBSwEzARkA/wDlAM0AtgCfAIcAbgBVADwAJgAS//7/5//N/7L/mP+A/2r/U/87/yH/Bv7u/tj+wf6p/o3+bv5P/jL+Fv38/eP9y/20/Zv9fv1c/TX9Dvzq/M38s/yW/HX8Tvwm/AT76fvS+7r7nPt6+1b7N/sd+wb67frR+rH6kfpy+lb6Ovof+gP56fnS+bz5qPmV+YH5b/ld+U35Pfkt+R75EfkG+P74+Pjx+On44PjX+M74xfi8+LX4svi0+L34yfjS+M74tfiG+Ef4CPfa98335PgZ+F34pPjp+S/5d/m++fb6EPoE+dX5lPlU+SP5BPjz+Oz47/j7+RL5Kvk7+T/5O/k8+U/5dfml+cz52/nR+br5p/mk+bL5xvnV+dj50PnC+bf5s/m4+cP5z/nc+ej59foG+hz6NPpH+k36P/oe+fH5xfmi+Y/5h/mF+X/5c/lj+VT5S/lO+Vv5bvmB+Yz5jPmE+Xj5cflx+XT5c/lo+VD5MfkR+Pb44fjS+MT4uPiv+Kv4qvio+KD4k/iE+Hn4dPh0+HL4Z/hR+DL4Evfy99L3r/eH9133NvcZ9wf2/fby9uD2xPai9nv2VPYp9fr1x/WR9V/1NvUY9QL08PTc9MP0pvSJ9G30UvQ19BXz8fPM86jzifNu81TzN/MU8u3yx/Kn8o7yfPJw8mfyYPJY8k3yOvId8ffxzfGm8YTxafFO8TLxE/D38OLw1fDP8MrwxPC68LHwqPCg8JrwlfCT8JfwovCz8MXw1/Dm8PPw/vEE8QXw/vDy8OPw1fDH8LbwovCN8Hzwc/Bz8Hjwe/B68HbwdvB/8JLwrPDJ8OrxEPE98XHxpvHW8f3yHPI28k7yZ/KC8p7yu/Lc8wHzKvNY84vzxvQI9FD0mPTe9R71V/WJ9bf14fYJ9jD2VvZ59pX2o/ah9pb2i/aO9qX2zvb79x33Kvcm9xz3HPcx91v3lffU+A/4Qfho+If4ovi8+Nn4/fko+Vn5j/nJ+gj6TfqZ+un7OfuE+838G/x5/PD9g/4r/tj/egAGAHkA2AEsAX4B0wIqAoIC2AMnA3ADsAPpBBsESwR8BLME9AVABZoGAwZ/BwsHogg4CL4JJwlpCYMJeglZCS0JAgjgCM8I0gjqCRMJSwmNCdUKHwpoCq8K9wtBC48L4gw2DIkM1w0eDWENpA3oDi0OcQ6xDu0PJA9aD48PxA/5EC4QZBCbENQRDxFLEYcRxBIBEj0SeBKvEuQTFhNIE3kTqhPYFAQUMBRcFIoUtBTZFPYVDhUmFUQVaBWSFb4V6RYVFkQWeBatFt4XBxcoF0YXaBeTF8cYABg3GGYYiRihGLIYvxjQGOUY/xkZGSsZLxkmGRMY/xjyGO0Y7RjtGOoY5BjeGNkY1BjMGL4YrxiiGJ0YnhigGJ4YlRiKGIMYhRiNGJEYiRhwGE4YLBgTGAUX/BfwF9gXtReKF10XMhcMFusW0Ba6FqYWkhZ8FmQWTBY0FhwWBRXxFeMV4hXxFg4WMhZSFmcWcxaAFpYWuhbnFw8XJRciFwkW5Ba/FqMWkBaAFmsWThYoFf8V2BW1FZgVexVcFTsVHBUCFO8U4BTTFMQUsxSgFIwUcxRUFCsT+xPHE5YTaRM/ExQS5xK2EoYSWBIuEgcR4hHDEeERzhHAEbURqhGgEZcRkBGJEYIRfBF6EYERjxGjEbgRyxHfEfgSGxJEEmwSihKbEqESqBK5EtUS9hMQExcTCRLuEtMSxBLHEtkS8RMBEwIS8BLOEqUSfRJcEkUSOBI2Ej0SSxJdEm4SeBJ1EmQSRhIhEf4R4xHYEdwR6hH3EfgR5xHDEZURZhE/ESMRDhD6EOQQyhCxEJwQihB5EGQQRhAdD+oPrg9vDzAO9A6/Do4OXQ4mDeINkA0zDNYMhgxQDDkMQQxfDIgMsAzSDOoM+w0GDQ0NDw0LDQEM8gzdDMIMoAx2DEYMEQvXC5sLXQsfCuAKoQpjCiQJ5gmrCXYJSwkrCQ8I8gjNCJ0IZwgvB/gHwQeFB0AG9QarBmsGOgYUBfMFzgWhBW4FOAUCBM8EngRyBE0ENAQpBCkELwQzBC0EGwQAA+EDwgOkA4YDYQM0AvwCvQJ5AjUB8wGzAXMBLwDkAI8AMf/J/1j+4v5r/fv9m/1U/Sf9Ev0K/QX8+vzk/MT8mvxm/Cz76/uo+2f7LPr2+sT6lvpu+lH6Qfo7+jv6Ofoy+ij6Ivol+i76N/o4+iz6Efno+a75YvkE+KD4RPf/99b3wve397L3uffd+Cj4kPj3+Tr5RPkX+M34gfhE+BH31/eM9zL22vaU9mb2RvYk9fL1svVr9Sn08fTE9Jz0evRd9Ej0OvQy9Cv0JfQf9Bf0C/P389vzvPOj85TzkPOO84Pza/NH8x7y9vLT8rPylfJ88mnyXfJV8kryN/Ie8gTx8PHj8djxyfGw8Y3xZvE/8R7xA/Dv8OPw3PDZ8NXwyvC38J/wh/By8F7wQ/Ac7+nvru9070LvHO7/7ufu0u697qTuiO5r7lLuQ+5E7lTube6H7pruoe6b7ovudO5X7j7uMe477mDunO7j7yPvUu9u74Lvn+/N8AnwQ/Bl8GbwSfAg8AHv9u/07+fvu+9u7xXuz+637s/vA+8v7znvGe7a7pXuW+427ibuJe4u7j3uTu5d7mjubu5u7mfuWe5E7jDuJu4x7lPuhu687ubu/u8I7wzvFu8m7zbvP+8/7zjvMu8z7zzvS+9d72/vgO+R76Hvsu/C79Pv5e/38ArwHfAw8ELwUPBa8GHwafB38JDwsvDb8QfxOPFw8bLx/PJH8orywPLs8xnzUfOY8+n0O/SG9Mb0//U09Wb1l/XF9fP2JPZa9pb21PcP90f3e/eu9+H4FPhI+Hv4r/jm+R/5WfmS+cz6CPpI+ov60vsc+2v7vfwV/G38w/0U/WL9s/4L/mv+z/8x/4z/4gA2AIoA3AElAWIBkQG4Ad8CDAJAAngCsQLnAxgDRQNwA54D0gQNBEsEhgS1BNEE3gTiBOgE9QUMBSkFSAVpBYsFrwXTBfYGFgY2BloGhga7BvMHKwdeB4kHqQe+B8kHzgfTB9sH6Af0B/oH9QfrB+IH4gfsB/sICQgWCCUIPghiCI4IuAjZCPIJBQkVCSMJKgkpCR8JEQj+COAIsgh0CDQICAgDCCgIZgigCLwIswiSCG8IWghWCFgIUwhACCAH/AfbB8AHqQeWB4UHeQd0B3cHgAeQB6UHvAfSB+UH8gf6CAAICAgVCCgIOwhMCFcIXghjCGgIbwh1CHMIZghQCD4IPwhhCKkJCwl0CcgJ9wn2CcUJYQjFB+kGzwWHBDEC9gH3AUYA4gDCANoBHwGIAgQCgALmAysDUQNkA3MDggOOA44DgANnA04DOwMsAxkC/QLXArIClQKBAm4CUQIlAe8BuwGOAWYBOAD6ALIAcQBPAFUAfACnALoAogBkABr/3//J/9wACgA+AGYAegB5AG0AXgBTAEsARQA/ADcAMQAuACwALAArACwAMgA8AEgAUABQAEcAPgA5AD4ASQBTAFcAUwBKAEAAOQAzACsAIAARAAD/8P/h/9j/1v/f//MADgApAD8ATgBYAGMAcQCDAJIAmwCcAJsAngCpAL0A1wDzAQ4BJgE8AUwBVwFdAWABZQFxAYcBqAHPAfYCFgIsAjoCQQJGAkwCVQJfAmsCdwKEApACnAKnArECugLFAtIC4ALrAvQC+gL/AwQDCgMOAxADDQMJAwQDAAL8AvYC7QLiAtUCyAK8ArACpAKZAo8ChgJ/AngCcAJmAlwCUwJMAkYCQQI6AjACIwISAf8B7AHZAcYBtQGkAZMBgwFxAWABTQE5ASQBDwD6AOQAzgC2AJwAgwBqAFMAPAAlAA3/8//Z/7//pP+I/2z/UP81/xv/Av7q/tP+u/6k/oz+c/5Z/jz+H/4D/en90P23/Z/9h/1v/VX9Of0X/PL8zfyp/Ir8bfxO/Cr8Avva+7f7m/uD+2v7UPsw+xD68frV+rn6nfp/+mH6RPoq+hD59fnY+bz5o/mP+X/5bvlc+Uf5Mvkf+Q/5Avj2+Ov43/jV+Mv4wfi3+Kz4ovia+JX4k/iR+I34h/iB+H34fviF+I34jPh6+FP4Hvfm9733rve599v4CvhE+In42/kz+Yb5wvnd+dT5sPl++Uf5EPjb+K34j/iJ+Jv4vPja+O74+PkF+SP5VfmO+b751PnO+bn5pvmh+av5u/nK+c/5y/nD+bv5uPm7+cT50vnj+fL5/voF+gz6Ffof+if6J/oa+gP55vnO+cH5v/nE+cb5wfmx+Zz5iPl++YH5kPmj+bH5tfmu+aP5mvmV+ZP5jPl7+WL5Rfkt+R35FfkP+Qb4+/jv+Ob43/jX+Mv4uvio+Jn4kPiM+Ij4ffhq+E/4MvgS9/L3zfem94D3YPdM90P3Pfc09yL3A/bd9rL2hvZZ9in19vXC9ZL1aPVH9S31FvT+9OL0wfSd9Hj0VPQx9A/z7vPO87Hzl/N+82PzRPMf8vfy0vKz8pzyi/J88m3yXfJO8kDyL/IX8ffx0/Gv8ZDxdvFg8UjxL/EY8QnxAfD+8Prw8PDj8Njw0PDN8MrwxPC+8LvwwvDT8OrxAPEQ8RnxGvEX8Q7xAvDy8OHw0vDD8LPwovCQ8IPwfvCB8IjwjPCN8I3wkfCf8LXwz/Dp8QTxJPFK8Xjxp/HR8fHyCvIh8jjyUvJs8oTym/Ky8s7y8vMf81bzmPPj9DP0gfTJ9Qb1O/Vr9Zr1yfX29h72P/ZV9l/2X/ZV9kn2RfZU9nz2vPcE90X3cPeA93z3cfdu93v3mffD9/P4IvhP+Hf4nfjC+On5Efk7+WX5jvm5+ev6Kvp2+sz7I/t2+8X8GPx9/P39mv5K/vz/oAArAJwA+wFPAaEB8gJBAowC0QMSA04DhQO5A+sEHgRYBJwE6wVEBaQGDAaCBwgHnAg1CMIJLwluCX4JaAk7CQkI3wjFCL0IyAjlCRIJTAmQCdgKIApkCqgK7As2C4YL2wwyDIQMzw0TDVMNkw3VDhkOWw6aDtYPDw9HD38PtQ/oEBsQThCEEL0Q+BEzEWwRoxHbEhMSShJ/ErIS4xMVE0gTfBOvE+AUDxQ8FGgUkRS3FNcU9BURFTEVVRV9FaQVzRX2FiMWUxaFFrUW4RcJFy8XVxeEF7YX7BgjGFgYiBivGM0Y3xjtGPsZDhkmGTwZSBlEGTIZHRkMGQUZBRkGGQIY+RjxGOwY7RjtGOcY2RjHGLgYsRiwGK4YphiYGIsYhRiIGJAYkBiDGGkYSRgsGBcYCBf4F94XuxeRF2YXPxceFwMW6xbVFr4WpBaIFmoWThY2FiIWDxX8FesV4hXoFgEWKBZUFnkWlBanFrwW2Bb7FxwXLxcqFw8W4xa0FooWahZSFjsWIRYDFeMVxBWmFYYVZBU/FRoU+hTkFNYUzRTCFLMUnhSIFHEUWBQ7FBgT7hPCE5gTchNPEy0TChLmEsASmRJwEkcSHxH8EioSCxHuEdARsxGbEYgRfBFzEW4RbBFwEXwRjRGfEa4RuxHLEecSEBI+EmUSexJ/En0SgxKZEr4S5hMBEwgS+hLjEs4SxhLMEt0S8RMAEwMS9RLYEq8SgxJaEjoSJxIgEiQSMBJDElgSaRJxEmsSVhI2EhMR+hHyEf4SFxIuEjISGRHiEZoRUxEaEPgQ6BDgENgQyxC7EKsQoBCYEJAQhBBtEEkQGA/cD5wPYA8rDv0O0w6jDmUOFw26DVcM+QysDHsMZwxxDI8MuAzfDP4NEw0eDSQNJw0mDSENFAz+DN4MtgyIDFcMIgvqC68LcQszCvYKvAqCCkUKAQm6CXgJQgkgCQ0JAQjuCMwImghfCCIH6AeuB3IHMQbwBrUGhQZjBkgGLAYIBdgFnwVhBSIE4gSkBGsEOwQZBAcEAQQBA/0D8QPaA78DogOGA2sDTAMmAvQCtwJzAioB4QGZAVABBACyAFf/8/+I/xv+r/5L/fP9qv10/U/9Of0q/R39Cvzu/MX8kfxR/An7vft0+zP6/PrL+pz6bfpC+h/6CvoC+gH5//n4+fD57/n2+gT6D/oM+fj50vmg+WL5F/i/+GH4DffP9673pPei96L3qPfF+Ab4ZvjL+RD5HPju+Jz4Rvf/98j3kvdR9wH2sfZt9jv2FPXp9bH1a/Ug9N70qvSC9GH0RfQt9Br0DfQF8//z+PPy8+rz3vPL87Lzl/OC83jzdPNx82PzSPMh8vbyzfKo8oXyY/JE8izyHPIR8gPx7fHQ8bHxl/GF8XfxZfFK8SfxAfDg8MfwtfCp8KLwn/Cg8J/wm/CS8Ifwf/B88HjwbPBP8CHv5++p73DvP+8V7vHu0u657qTuj+577mfuV+5Q7lTuYO5s7nDuaO5S7jPuE+387fXuBe4s7mPunu7O7uzu+e8D7xrvS++X7/LwQvBx8HPwTvAX7+fvze/D77nvm+9h7xbu0u6p7qPus+7G7sjusu6H7lPuHe3w7dHtyO3X7fvuKe5S7m7uee577njub+5g7knuMu4p7jbuWO6E7qjuvO7F7s3u4u8C7yPvOu8+7zPvI+8Y7xjvIO8t7z3vUO9o74TvoO+578rv1u/f7+rv+/AR8CjwO/BI8E/wV/Bm8IHwqPDW8QnxQPF/8cfyFfJg8qDy0vL98yrzZPOq8/b0P/R/9Lf06/Ug9Vb1i/W99e72IfZW9o/2yfcA9zX3aveg99j4EPhH+Hz4s/js+Sf5ZPmg+dz6Gvpc+qD65/sy+4H71fwt/IX82v0o/XX9yP4k/oj+7/9R/6sAAQBVAKgA9gE3AWgBiwGsAdQCBwJBAnwCsgLjAxIDQgN2A60D5gQgBFoEkAS+BN4E9AUDBRQFKwVKBW0FjwWvBc0F5wX/BhMGJwY/BmIGkwbOBw0HRwd2B5kHrwe7B78Hvge/B8QH0AffB+sH8Qf0B/gIAAgOCBwIKgg5CE8IcAibCMkI8AkMCR8JLwk+CUoJTglGCTYJIgkMCO4IwQiFCEgIIggkCFEIlAjNCOIIzQidCGsISwhECEsIUwhPCD0IHwf9B98Hxge2B6sHowecB5cHmAejB7gH0AflB/EH9Af2B/8IEggqCD8ISwhMCEcIQwhGCE4IWAhfCF4IVQhLCEoIXgiSCOcJUgm8CgcKGgnnCWwIqwetBnsFJwPJAogBhgDeAJUAnADcAT4BsQIrAqADBQNMA3IDfAN5A3cDfAOCA4ADbwNTAzUDHQMKAvYC2QKyAogCZAJKAjQCGgH1AccBlwFrAUIBEQDSAIMAM//4/+P/+QAsAGQAhgCDAFwAHv/i/7r/s//L//cAJABFAFIATwBAAC4AHAANAAMAAAACAAcADAAMAAwADwAYACYAMQAyACkAGwAUABkAKwA/AE0AUABMAEcARQBFAEEAOAArAB0AFAASABYAIQAwAEQAWABqAHcAfwCHAJQApgC5AMYAyQDDALwAuwDGANkA8gEMASUBOwFRAWMBcgF7AYIBigGYAa4BzAHuAg0CJgI2Aj4CQQJDAkgCUQJbAmUCbgJ1AnsCgQKHAo4ClgKhAq0CugLDAskCzALOAtEC1QLZAtoC1wLRAssCxQLBArsCswKnApkCiwJ/AnUCbAJkAlsCUgJIAkACOAIwAigCHwIUAgkB/QHzAegB3AHNAbwBqAGWAYQBdAFjAVIBQAEvAR4BDAD5AOQA0AC8AKoAlwCDAGsAUAA2AB0ABv/w/9f/u/+e/4H/Zv9O/zT/Gf77/tz+v/6j/on+cf5Y/j/+Jf4K/e790f21/Zr9gv1q/VP9O/0i/Qf86vzJ/Kb8g/xi/EL8I/wD++D7uvuW+3b7Wvs/+yP7Bvrn+sr6r/qT+nX6U/ow+g/59Pnc+cT5q/mQ+XX5X/lO+T/5L/kc+QX47/jd+M/4xfi7+LL4qPif+Jf4jviE+Hj4bfhk+F/4X/hh+GL4X/hV+Ef4Ovgz+DL4NPgx+CL4Bffe97j3nveV9573tvfd+BP4V/il+PX5O/lv+ZD5nfmX+Xv5Rvj7+Kb4Xvg1+DX4VfiB+Kn4x/jl+Q35RPmC+bT5zvnM+br5p/mf+aX5sPm5+bz5uPmz+bL5tfm/+c353/nw+f76BfoF+gP6AvoH+hH6HPoj+iT6HfoU+g36CvoM+hD6EPoJ+fr55/nT+cX5vfm6+bn5tfmu+ab5ofmg+Z75lvmH+XH5W/lK+UH5P/k9+Tj5Lvkj+Rj5DvkA+O/42fjD+LL4qPil+KH4mfiJ+HH4U/gx+Av34ve695f3gfd393f3d/dv91r3N/cK9tr2qfZ49kj2FvXl9bb1ivVk9UX1KvUR9Pf02PS09Iv0YvQ99B30AvPp887zsfOR827zSfMj8v7y3PLA8qrylvKC8m3yWPJH8jnyLPIa8f7x2fGz8ZLxevFp8VnxSfE78TLxLvEq8SLxEvD98Ozw5PDi8OLw3vDW8NHw1/Dq8QTxG/Em8SXxG/EP8QPw+vDv8OPw1vDH8LbwpPCS8IXwgfCG8I/wmPCf8KXwsPDC8Nzw9/ER8SnxRPFm8Y3xtPHW8fDyBvId8jjyVPJs8n3yh/KQ8qHyv/Ls8yjzcfPG9CD0evTL9Q/1RPVv9ZP1s/XP9eX19PX99gL2B/YN9hr2NPZh9qT2+/dZ97D38fgU+Br4C/f19+L32/fi9/b4E/g4+GD4ivi4+Oj5GflH+W/5kPmw+df6DvpX+q/7Dftp+8T8I/yT/R79wv51/yT/wQBCAKoBAgFSAaIB7wI3AngCswLpAx8DVwOPA8gEBARHBJAE4QU2BY8F7gZbBtwHcwgWCK8JJwlpCXQJUgkaCOMIuwirCK8IxQjoCRkJVQmbCeQKLApwCrIK9wtDC5gL8gxNDKAM6g0qDWQNnQ3YDhQOUQ6NDsgPAg87D3MPqQ/cEA0QQBB1EKwQ4xEYEUoRexGtEeISFxJLEn0SrRLeExMTShOCE7kT7BQaFEUUbRSSFLUU2BT8FSEVSBVvFZQVuRXeFgYWMRZgFo8WvhbuFyAXUReCF7AX3BgJGDkYbRigGMwY7RkBGRAZIBk2GU4ZXhlgGVMZPhkrGSEZIBkgGRoZDxkCGPoY/BkAGQAY9RjhGMwYvhi4GLcYsRiiGJAYghh/GIMYiBiDGHEYVhg5GCEYDBf3F90XuxeWF3IXURc0FxgW/RbkFssWshaXFnoWXRZCFisWFRX/FecV1BXQFeIWChY/FnMWmBauFrsWyxbhFv0XFBcYFwQW2hakFm4WQBYcFgEV6hXUFb8VqRWQFXMVTxUoFQEU4BTKFLsUrhSdFIQUZhRIFC0UGBQEE/ET2hO/E6ITghNhE0ATIRMFEusS0RK0EpMSbxJLEmESPBIWEfARyxGsEZMRgBFwEWURYBFmEXcRjxGkEbMRvhHNEekSEBI7ElwSahJrEmsSeRKaEsQS6BL5EvYS5xLXEtES1BLeEukS8hL1EvAS4xLKEqgSgRJbEj0SJhIWEg0SChIQEh8SNRJLElkSWhJMEjUSIRIZEiESMhI9EjQSDBHJEXkRLxD5EN0Q1hDZENwQ2xDXENIQzxDNEMsQxRC1EJgQaxAwD+0PrQ92D0sPKQ8HDtwOoQ5XDf8Nnw1BDO8MtAyXDJcMrwzRDPINCw0aDSMNKQ0uDS0NJA0QDO8MxgyYDGcMNQwBC8kLjwtUCxwK5QquCnAKJwnVCYQJQQkWCQUJAgj+COsIxQiPCFUIHQfoB7MHegc/BwcG2ga6BqQGjgZvBkAGBAXABXkFMwTsBKcEZgQtBAMD6APYA8wDvQOnA40DcgNaA0MDKwMLAuECqwJqAiIB1gGJATkA5gCNACz/xf9c/vj+nv5T/hX94f20/Y39av1K/Sr9BfzY/J/8XPwP+7/7c/sx+v361fqx+ov6YPox+gj56fnV+cn5vvmz+ar5q/m1+cP5x/m4+ZX5Y/kr+PD4sfhr+CL33/ew95v3mPeb95n3mvet9+T4PPie+OL47fi7+GH4Ave19373T/cX9tH2g/Y79gL11PWl9Wz1KfTk9Kb0dfRP9C/0FPP98+3z5/Pm8+jz5/Ph89bzxPOt85LzePNl81vzVvNM8zfzFPLn8rnyj/Jr8knyJvID8ebxz/G98arxj/Fs8UjxKfES8QHw7vDW8LvwoPCL8H3wc/Bp8GDwWfBW8FbwV/BZ8FvwYPBp8HDwbfBd8DzwEe/g763vd+8/7wfu1e6v7pjuiu6B7nXuaO5d7lbuUu5N7kDuJ+4C7dntt+2o7bXt4e4k7m7uq+7O7tXuy+7F7tXvBe9R76jv9vAn8DLwGu/t773vme+G73/vdu9h7z/vFe7s7sjuqu6P7nPuV+457hft7e2+7ZLtee2A7aXt2u4L7ifuMO4x7jbuQe5N7k/uR+487jzuSu5k7nvuiu6T7p/ut+7b7wHvG+8j7xvvEO8K7w3vFu8g7yvvOO9M72jvh++l77zvyu/S79vv5+/48AzwH/At8DjwQ/BV8HHwmPDK8QXxSvGZ8fDyRvKT8s/y/fMk81DzhvPC8/70MvRe9Ir0vfT49Tn1evW29e32IvZX9oz2v/bw9yD3VPeN98n4BvhB+Hz4ufj4+Tj5efm6+fr6PPp/+sT7CftO+5j76vxD/J/8+P1M/Zz98P5M/rD/Ff93/9IAKQB9AM4BEwFHAWkBggGfAcgB/gI6AnICowLSAwQDPQN9A7wD9wQsBF4EjgS7BOMFBwUnBUgFbQWUBb0F4wYEBh8GMgY+BkUGSgZYBncGpwbjByAHUwd3B48HnAekB6gHqweuB7YHxAfXB+oH+ggHCBIIHggtCD0ITwhnCIgItQjnCRUJNwlLCVYJYAlqCXIJcAlhCUoJMQkWCPYIygiUCGEIRghTCIQIwwjzCPwI3QimCHAITAhACEUITwhTCEoINQgXB/gH3wfRB80HzAfIB8AHuwe+B80H4AfuB/EH7QfsB/YIDQglCDQINAgpCB4IHAgjCCwIMwg0CDYIQAhVCHkIqwjuCUIJoAn2CiUKDwmcCMgHoQZBBMkDXQIdAScAkgBiAIsA8QF0AfgCbgLQAx8DXAOFA5YDlgOLA38DdwNwA2MDTQMvAw8C8wLdAscCqgKEAlkCLwIMAfAB1AG1AZEBagFDARoA6QCrAF4ADv/M/6r/tf/rADwAiwC7ALQAdAAP/6j/Yf9R/3P/sv/xABwALQAqABwACv/3/+b/2//Y/9z/5P/o/+j/6P/t//cAAwAHAAL/9//x//YABgAXACIAIgAbABYAFwAbABwAGQASAA0ADgAXACQAMQA+AEsAWABkAG0AdAB9AIoAmwCrALYAuAC1ALIAuADHAN0A9gENASQBOgFQAWQBdAGAAYoBlgGnAb4B2QH0AgwCHwIqAi8CMAIwAjICOAJAAkkCUAJVAlgCXAJhAmkCcgJ9AogCkQKYApsCmwKaApoCmwKbApkClQKQAo0CiwKJAoUCfAJvAmECUgJGAj0CNgIvAikCIQIYAg4CBgH+AfYB7AHeAc0BuwGsAZ4BkwGFAXYBZAFSAUABLwEcAQgA9ADkANYAyQC5AKYAkQB7AGkAWABFAC4AE//2/93/xv+x/5n/ff9g/0P/Kv8U/v3+4/7F/qT+hP5m/kn+Lf4S/fb92/2//aH9g/1k/Uf9Lf0X/QL87fzW/Lr8m/x6/Ff8NPwS+/H7z/ut+4v7a/tO+zP7Gfr8+t36vPqc+oH6afpQ+jL6D/nq+cf5qfmQ+Xn5YflI+TH5HfkN+P747PjX+MD4q/ib+I/4hvh9+HT4a/hk+GD4XPhX+E74Qvg2+C34KPgo+Cv4LPgn+Bz4C/f59+v35Pfg99z30vfB96v3l/eI94T3jfei98T38fgl+Fv4kvjJ+QP5Pvlx+Yr5ePk2+NH4Z/gX9/f4B/g2+G34oPjQ+QP5Pvl6+an5wvnA+a/5nfmU+Zj5ofmo+an5pvmk+aj5s/nD+dX55Pnw+fn5/voA+gD6AfoF+g36G/ou+kL6U/pd+l/6WfpR+kz6TfpR+lL6Sfo1+hf59vnY+cD5sPmn+aP5ovmh+Z75l/mM+X35cPlm+WH5Xvlc+Vf5UvlK+UL5Nfkj+Qv48PjW+MT4uvi4+Lj4tvit+Jv4f/ha+C33/ffP9633m/eY9573oveY9333Uvce9uf2svZ/9k72HvXu9b/1lPVt9Uz1MvUe9Qr08vTT9K30hPRg9EP0KvQQ8/DzyPOc83LzTPMt8xHy9vLd8sPyqfKO8nTyXPJJ8jvyLfIZ8fvx1vGy8ZfxiPGB8XvxcPFi8VTxSvFB8TTxIPEI8PXw6/Dr8O3w6vDl8OPw7fEF8SLxN/E68SzxFfEC8Pbw8/Dx8O3w5PDX8MfwtvCm8JvwmPCd8KjwtfDA8Mrw2fDt8QfxI/E98VbxcfGQ8bPx1PHv8gXyG/I18lXydfKL8pXylfKT8pvysvLa8xHzV/Oq9An0bvTP9SD1XPWA9ZD1k/WP9Yv1ivWT9ab1x/X09i32cvbC9xz3e/fY+Cz4bPiV+KT4nPiE+GX4R/gz+Cv4MfhD+F34f/io+Nj5DPlA+W35kfmx+dT6BvpK+qD7APtl+8z8PPy+/Vf+Av6y/1X/3wBLAKIA7QE3AYMBzQITAk8ChQK5AvADLgNwA7UD+gQ9BIEExgUMBVYFqQYOBowHJwfUCH0JBglXCWoJSwkUCN0IuQisCLMIyQjsCRwJWwmmCfYKQwqICsoLDwteC7oMHgx/DNYNHg1XDYcNtQ3kDhcOTQ6GDr8O+A8wD2YPmg/NEAAQNBBpEJ0QzBD3ER8RShF4EawR4RIWEkkSehKuEuUTHxNcE5YTzBP9FCkUURR1FJgUvRTkFQ4VNxVfFYMVphXLFfMWHxZNFn0WrxbkFxsXUxeHF7MX1hf4GB4YTRiEGLwY6hkLGSEZMxlHGV0ZcBl2GW0ZWRlEGTYZMRkwGSwZIRkSGQYZAhkDGQMY+hjnGNIYwhi7GLkYthiqGJgYhxh9GH0Yfxh9GHAYWhhCGCsYFhgAF+cXyRerF40XcBdRFy4XChbpFtAWvRaqFpQWeBZaFj0WIRYEFeYVyxW6Fb8V3hYPFkQWbRaCFocWihaVFqkWwRbQFssWrxaDFlIWIxX8FdsVwBWmFZAVehVlFU0VLxUMFOgUyRSyFKAUjxR4FFkUNRQSE/YT5BPaE9QTzxPGE7QTmRN2E08TKxMOEvoS6hLaEsMSphKFEnQSTxIpEgQR4hHFEawRlhGBEXARZxFtEYERnRG3EcgR1BHjEf0SIRJGEmESbRJxEnsSlBK7EuES+RL6Eu4S4BLfEuoS+hMDEwES9RLjEtASvRKnEowSbxJREjcSHxIHEe8R2hHQEdUR6hIIEiYSORI/EjoSNBIzEjgSOxIzEhQR3BGUEUsREBDsEN0Q3hDlEO0Q8xD4EP0RABD/EPoQ7xDdEMEQlhBdEBwP2g+hD3cPWA8+DyIO/g7NDo4OPw3jDYENJwziDLwMtQzEDN0M9w0LDRsNJw0vDTINKg0XDPoM1AyrDH8MUgwiC+8LuAuCC04LGwrnCqkKXwoICa0JXwkpCQ4JCAkHCPsI3giyCIAITwgiB/QHwweNB1oHMAcTBv8G6gbIBpYGVgYRBc0FjgVQBREEzQSJBEwEGQPzA9MDtAOUA3EDUQM0AxwDBALnAsICkwJYAhUBywF8ASkA0QBwAAf/mv8w/tT+i/5V/iz+B/3d/az9dv0+/Qb8zPyM/Eb7+fuq+1/7H/ru+sv6sfqY+nr6U/on+f352vm/+af5kPl7+Wz5aflu+XT5bvlS+SP46vi0+IL4U/gh9+v3vPee95T3mPeb95b3kPec98z4Hfh5+Lf4vPiD+CT3wPdx9zr3DfbY9pH2QfX19bf1h/Vb9Sj07PSt9HP0Q/Qc8/rz3fPG87vzvfPI89Tz2/PX88jzsfOU83bzW/NI8zvzMfMi8wby3PKp8nbySvIk8gHx3fG58ZfxevFi8UnxKvEG8OLww/Cs8JzwjPB58GXwU/BH8D/wOPAt8CDwFPAP8A/wFPAc8CTwLvA58ELwRPA+8DHwH/AJ7+zvwO+D7zru8+667pXuhO597nfub+5l7lnuS+417hTt6e227YbtY+1Z7W7tou3q7jLuZ+5/7n7ucu5w7oXuse7s7yvvY++R77Dvvu+576Pvhe9q71rvWe9f72TvXu9E7xfu2u6Y7lzuLu4P7fbt1u2q7XjtU+1L7WbtlO2/7dXt1u3S7dnt9e4b7jzuS+5L7kXuRu5S7mPudO6E7pXuq+7H7uHu8O707vLu8e737wTvEe8b7x/vI+8s7z/vW+9875vvtO/F79Hv2+/l7/Hv//AO8B7wL/BE8GDwhvC68P/xVvG78iPygfLK8vzzH/NA82nzmvPM8/f0F/Q09Fj0jPTR9R71avWv9e32J/Zd9pH2v/bq9xb3R/eA97/3//g/+H74v/kD+Un5jfnR+hX6Wfqf+uP7JPtl+6r7+/xY/L39IP17/dD+I/57/tr/PP+c//gATwCgAOoBJQFQAWwBhAGkAc8CBQI7AmoClQLBAvgDOgOCA8YD/wQvBFsEiAS5BOwFHwVQBYAFsAXfBgwGNQZYBnUGhwaOBosGhgaJBqAGywcBBzUHXAdyB30HhQeOB5kHpAeuB7gHxwfbB/EIBggYCCcINghICF4IeQicCMoJAQk4CWcJhgmVCZoJngmiCaMJmgmHCWoJSgknCPwIyAiRCGYIWgh1CK0I5wkKCQYI4QitCHwIXAhNCEoITwhVCFQISAgvCA8H8QffB9wH4QfkB+EH2wfaB+EH7Af0B/IH6wfnB+0H+ggECAQH+QfuB+8H/ggQCBoIGAgQCBUINAhtCLUJAQlLCZYJ4goeCi0J5QksB/4GeQTNAzQB3wDsAGgAUACTARUBswJNAs0DJwNgA4MDmAOnA7EDsgOqA5oDhgNuA1MDMwMPAuoCxwKnAokCbAJLAicCAAHaAbcBlgF3AVoBPAEaAPEAvgB/ADj/7/+x/4z/jP+6AA0AbgC3AMUAhgAJ/3j/B/7a/vX/Pf+N/8j/5//w/+//6f/c/8n/tf+p/6n/s/++/8P/wf+//8L/y//T/9X/0f/P/9X/4f/s/+//6P/c/9X/2P/g/+n/7P/t//H/+gAGABMAHQAmADEAQABSAGIAbwB4AIIAjgCbAKQAqACqAK4AuQDKAN0A8QEDARQBJwE7AU0BXAFpAXUBhgGbAbMBygHeAe8B/QIHAg0CDwIOAg4CEAIVAhsCIAIkAicCLAIzAjwCRgJQAlkCXwJjAmUCZwJoAmkCaAJjAlwCVQJRAlECUwJUAlACRwI6Ai0CIAIVAgwCBAH9AfgB8gHqAeEB1gHLAcABswGiAY4BeQFmAVUBSAE6ASoBGgEIAPYA5ADPALkAowCSAIcAfwB0AGQATgA3ACEADv/6/+L/x/+r/5L/fv9s/1f/Pv8i/wX+6/7T/rv+oP6C/mT+R/4r/g/98f3S/bL9lf14/Vv9O/0Z/Pn83vzJ/Lf8pPyN/HH8UPwt/Ar75/vE+6D7e/tX+zX7GPsA+un60fq1+pT6cfpQ+jT6G/oD+ej5yfmn+Yb5aPlN+TT5HPkE+O/43vjN+Lz4qPiS+Hz4avhe+FT4S/hA+Db4Lvgq+Cr4K/gq+CP4GfgM9//39ffw9+/38Pfy9+/35vfX98f3uvez97D3r/ep9533jPd492n3Zfdu94T3ofe/99v39fgZ+FD4nvj3+UL5Y/lI+Pb4hvgd99z3z/fw+Cr4b/iz+Pb5Nflu+Zb5p/mh+Y/5ffl1+Xr5hvmQ+ZT5lvmZ+aL5sfnC+c/51fnY+dz55fn0+gP6DvoR+hH6Ffol+kX6a/qM+pz6mPqH+nb6cfp5+oX6h/p3+lP6Jvn6+dv5y/nG+cX5wvm5+az5nfmQ+Yf5gfl8+Xb5cPlq+Wb5Y/lg+Vr5Tvk5+R/5Avjo+NX4yvjG+Mj4yvjK+MP4sPiO+F/4J/fx98f3sfeu97T3tfen94X3UfcW9tz2p/Z29kb2FfXj9bT1ivVn9U31O/Uu9SL1EfT49Nb0sPSO9HH0VvQ39A3z2/Oo833zX/NK8zjzIvMG8ubyx/Kr8pHyd/Je8kTyKfIL8evxzPG28a7xsvG68brxq/GP8XDxVvFE8TXxJfET8QTw/fD+8QDxAPD88P3xCvEl8UPxVfFQ8TjxGPD+8PPw9PD38Pjw9PDs8OPw2vDS8MrwyPDM8NXw4fDt8PjxBvEZ8TPxUPFt8YvxqvHL8e3yC/Ij8jbyS/Jl8obypvK98sfyyPLH8s7y4fL/8yfzW/Oe8/X0WvTC9R31XfV79Xv1aPVQ9UH1RPVc9Yn1yPYX9nH20vc195T36vgy+Gz4mvi7+M/41fjN+Lj4nfiF+Hb4cvh5+Ib4mvi1+Nr5CPk8+W35mPm8+eD6D/pP+qL7A/tt++H8Yfzz/Zb+Qf7l/3P/4wA4AHwAvQECAU4BmgHgAh4CVQKKAsUDCQNUA6AD5gQlBF4ElATNBQ4FWwW7BjQGyAdyCB8ItAkaCUgJRAklCQMI7AjkCOYI8QkICTAJcAnCChwKcAq4CvkLPQuOC/AMWwzCDRgNWA2GDakNyQ3tDhcORg56Dq8O5Q8aD0wPfg+yD+gQIBBWEIcQsBDSEPMRGBFEEXgRrhHlEhwSUxKNEskTBxNDE30TsxPlFBMUOxRgFIIUphTNFPcVIhVKFW8VlBW7FegWGRZMFn4WsBbjFxoXUxeJF7YX2hf3GBcYQBh0GK4Y5RkQGS4ZQxlVGWgZeRmDGX8ZbhlXGUMZOBk1GTMZLRkgGRAZAxj6GPQY6xjcGMsYvRi2GLUYshirGJ0YjhiEGIEYgBh9GHMYYxhQGD4YLBgWF/wX4BfGF60XlBd1F00XIxb9FuEW0BbDFq8WkxZxFk4WMBYUFfYV1hW5FasVsxXSFfoWHhYxFjMWLhYrFjIWQRZPFlQWTBY6FiEWBhXqFcsVqBWEFWEVRBUuFRwVBxTtFM8UsxSbFIoUexRoFE8UMRQSE/gT5hPcE9gT1RPPE8ITqROGE1wTMxMSEvwS7RLgEs4SthKXEnUSVBIxEhAR8RHXEcIRrhGaEYoRgxGJEZ0RtxHQEeAR7BH9EhcSOxJeEncShBKOEp8SvhLkEwITDhMHEvoS9xMFExwTLxMuExcS8RLJEqgSjhJ4EmESSBIvEhgSABHmEcgRqxGXEZMRoRG6EdYR7BH5EgQSEBIhEjISORIqEgARwRF6ETkRDBD0EOwQ7RDwEPUQ/REIERMRGREWEQoQ9xDfEMIQmxBpEC4P8g+8D5APcA9VDzsPIQ8DDt8Org5sDhcNuQ1hDRwM8wzkDOgM+A0LDR0NLQ03DTcNLQ0YDPsM2gy2DJAMZww7DAsL2wurC34LUwskCusKogpLCe8JmglaCTUJJQkcCQ0I8wjOCKUIfghZCDIIBwfXB6kHgwdoB1MHOgcUBt0GmwZYBh4F7gXCBZEFVwUVBNIEkgRZBCYD8wO/A4sDWwMyAw4C7QLMAqYCeAJDAgUBvwFxAR0AwQBb/+z/ef8N/rL+cf5G/ij+B/3Z/Zv9Uf0B/LP8Z/wd+9T7jvtN+xb66vrJ+rD6mvqA+mD6OvoR+ez5zPmw+ZP5dflW+T/5Mvku+Sn5Gfj2+MX4kvhk+D74G/f098v3p/eU95L3mved95b3jveZ98X4EPhe+I34hPhC9+D3fvcx9vv2zPaR9kb18vWm9Wv1QPUY9Or0svR19Dv0CvPh87/zofON84Tzi/Ob863zuPO286fzjvNw81LzNvMh8xHzA/Lx8tTyq/J58kPyEvHm8b7xlvFu8UjxJ/EJ8O3wz/Cv8JHwefBp8F3wT/A98CnwFvAI7/7v9O/n79nvzu/J78vv0e/Y7+Hv7O/38AHwBvAG8ATwBPAE7/vv3++p72DvD+7I7pXudu5m7l7uV+5O7j7uI+357cDtgO1D7RPs9+zy7QbtLe1d7Yjto+2n7aDtn+2z7eDuG+5V7oXuru7d7xfvVu+L76PvnO9/72HvUu9W72Xvbe9f7zPu7O6W7kPuAe3V7bftmu127UztK+0i7TntZO2P7abtqO2h7aftxe317iXuRO5M7kbuQO5F7lfuce6O7qjuve7M7tPu1e7T7tTu2+7p7vrvCO8O7w7vC+8M7xfvLu9N73Hvk++t773vxu/L79Hv3u/w8AfwH/A58FXwe/Cy8P/xZPHW8kbyofLf8wPzGvM281/zkfPC8+f0APQZ9D70dvS+9Q31WfWf9eH2IPZc9pL2v/bn9xL3RPeA98H4BPhE+IT4xvkM+VL5mPnc+iL6afqx+vf7OPt4+738Efxz/N79R/2l/fr+S/6g/v3/X//AABkAagCyAPEBJQFNAW8BkAG3AeYCFwJEAmsCkAK9AvgDPwOIA8oEAgQwBF4EjwTGBQEFPAV2Ba4F5QYXBkUGbQaRBq8GxQbPBswGxAbEBtYG+wcrB1QHbQd0B3UHeQeFB5kHrAe7B8gH1QfoB/4IFQgrCD4IUghpCIYIqAjSCQQJPQl1CaQJxAnVCdwJ3wngCdsJzQmzCZEJaAk4CP4Iuwh+CFgIXAiHCMkJAgkaCQsI4QixCIoIbwheCFUIVAhbCGMIYQhNCCcH/QfeB9QH2wfnB+4H7gfsB+4H8gf1B/IH7AfnB+UH5AfeB9EHxgfHB9sH+wgWCB4IFAgJCBUIRgiUCO0JPwmFCcUKAAojCgoJiQiEBwcFQQN7AfsA8QBtAGUAuQFHAe0CjQMUA3YDrwPGA8cDwgO/A8EDwwO9A6wDkANsA0YDHwL2AsoCnAJuAkYCJQIJAe8B0gGuAYcBYgFCASgBDwDxAMgAkQBQAAr/xv+K/17/Tf9k/6YAAwBXAHYAQ//F/yb+o/5q/oT+1P8t/2//kP+c/6H/pf+h/5H/ef9m/2X/df+K/5f/l/+R/43/kP+Y/57/oP+h/6f/sv+8/73/tP+n/6D/ov+t/7f/vv/C/8j/0//h/+z/9f/9AAsAIgA9AFUAZABtAHMAewCGAJEAlwCcAKIArAC5AMgA1gDjAPEBAgEVASYBNAFAAU8BZAF9AZUBqAG1Ab8ByAHSAdoB4AHhAeEB4gHkAekB7QHxAfMB+AH/AggCEQIaAiACIwImAikCLQIzAjcCNgIwAiUCGgIUAhUCGAIaAhYCDQIBAfcB7gHmAd0B0wHKAcQBvwG6AbEBowGUAYMBcwFhAU0BOAEkAREBAQDxAOAAzgC7AKoAmACEAG0AVwBEADgALwAmABcAA//r/9T/vv+o/5D/df9b/0X/NP8k/xP+/f7j/sf+rP6Q/nP+Vf43/hz+BP3s/dH9sv2Q/W/9Uf02/Rv8/fzc/Lz8oPyJ/HX8YPxG/Cf8BPvg+777nPt6+1b7MfsN+uv6zvq1+p76h/pr+kz6KvoJ+er5zvmz+Zj5fPlg+UT5KfkP+Pb43fjG+LL4ofiQ+H34aPhS+D/4MPgm+Bz4EvgG9/z39vf29/j3+vf59/T37Pfi99j3z/fG98D3vve+98D3wfe997X3rPel96P3oveg95X3gfdm90v3O/c690r3Y/d694f3jPeU97D36/hD+KP47/kJ+Oj4l/gy99v3rPev9974KfiA+NX5HvlV+XT5fPlw+Vz5S/lF+Uv5Wfln+XL5efmC+ZD5ofmv+bb5s/mu+a/5wPne+f/6FfoY+gv6APoH+ir6YfqY+rr6vvqq+pH6g/qG+pH6lvqI+mf6PPoY+gT6AvoJ+g76Bvnw+dL5tPme+ZP5jvmL+YT5evlx+Wr5Z/ll+V/5Uvk/+Sj5Efj9+Oz43/jX+NX42fjg+OT43PjD+Jf4Xfge9+n3xfe297P3r/ec93T3PfcB9sr2nPZz9kf2FPXc9ab1e/Ve9U/1SPVD9Tz1LvUX9Pj01fS09Jb0evRY9Czz+fPH86DzhvN182TzS/Mt8xDy+vLp8tbyu/KT8mPyMvIG8ebx1PHT8eDx9vIG8gXx6/G+8YvxYPFG8TnxMfEq8SPxIfEi8SXxJPEg8SDxLfFF8V/xbPFj8UbxJPEK8P/xAPEE8QXxAvEA8QHxA/ED8P/w+/D58P3xBfEQ8RvxKvE/8VvxffGh8cfx7fIS8jbyVPJr8nzyjfKj8r7y2vLx8wLzDfMZ8ynzPvNW83DzkvPD9Aj0X/S99RD1R/Vd9Vb1QfUv9TD1SfV69bz2CPZb9rT3EPds97/4A/g0+Fb4cPiH+J74sPi5+Lf4rvim+KX4rPi5+Mf41fjl+P/5JPlS+YH5q/nN+e36FvpS+qT7Cft9+/38if0h/cD+XP7p/1z/tP/3ADEAcAC3AQcBWAGkAegCJQJhAqAC5gMxA3oDuQPuBBsESgSCBMcFGgV5BecGZwb6B5YIKgigCO0JFQkmCTEJPglMCVUJWQlhCX0JtgoJCmUKvAsDC0ALgwvWDDwMqA0LDVgNiw2qDcEN2A30DhYOPA5nDpMOwQ7vDx4PTw+ED70P+RAyEGQQjBCuEM4Q8xEfEVERhhG+EfkSOBJ7Er4S/hM3E2wTnhPOE/0UKBROFHEUkxS4FOIVDhU5FWEViBWzFeQWGRZPFoMWsxbjFxUXSxeBF7MX3Bf+GB4YRBhyGKgY3xkPGTMZSxldGW0ZfhmLGY4ZghlsGVMZQBk4GTYZMxkpGRgZAhjuGN8Y0hjFGLgYrRimGKMYoRicGJQYixiFGIIYgBh7GHMYZxhZGEsYOhgkGAgX6hfSF78XrReVF3IXSBcfFv8W6BbVFr0WnBZ3FlUWPBYnFg8V7xXIFaUVkxWYFa0VxxXYFdoVzxXAFbUVsBWwFbIVtBW2FbcVtxWxFaIVhhVjFUAVJBUTFQcU+RTkFMcUqBSPFH4UcxRoFFgUQxQsFBYUAxPyE+QT1hPGE7QTnROAE1wTORMZEwAS7hLdEsoSshKVEnsSXhI+Eh4R/xHlEdARwRG1Ea4RrhG3EccR2xHrEfcSAhIUEjASUxJ0EowSmxKnErsS2hL8ExcTIRMfExsTIhM1E0kTThM4EwoS0RKcEnYSXBJJEjQSGxICEesR1RG/EaYRjBF4EW8RdBGCEZERnhGqEboR1RH6EiASORI3EhYR2xGWEVcRKBEMEP4Q9xD0EPYQ/xENERoRHxEWEQIQ5hDJEKsQiBBdECwP+Q/LD6QPgw9kD0QPJw8QDv8O7Q7PDp0OVw4FDbQNcA1ADSUNHA0hDS4NOg1ADTsNKg0QDPEM0QywDIwMZAw5DA0L4wu9C5wLewtVCyEK3QqJCi4J2gmYCW0JVAlCCSwJDgjrCMgIqQiNCG0IRwgbB/AHywewB5kHfAdSBxkG2AaaBmcGQAYdBfYFxQWLBU0FDgTSBJUEVgQUA9IDlANcAyoC+wLNAp4CbAI3AfoBtgFpARQAuABS/+T/c/8I/q/+bv5D/iL9/f3H/Xz9IvzB/GL8C/u++3z7R/sd+vz64vrL+rP6l/p1+k76JPn8+dn5vfmj+Yf5ZvlE+SX5EPkB+PL42/i4+I74ZvhE+Cj4DPfo98P3o/eU95T3nPef95r3l/em99H4D/hG+Fn4Offt9433Nvbz9sD2jvZO9f/1rvVo9TT1DfTn9Lj0ffQ99ALz0fOq84nzbvNZ81DzVPNj83Tzf/N982/zWPM88x/zA/Lq8tbyxfKz8pzyevJO8hrx5fGx8YDxUvEm8P3w2fC58Jvwf/Bl8FHwRfA/8DjwK/AV7/jv3O/F77Pvpe+Y74zvgu9973zvfe+B74jvlO+l77Tvve+977jvtO+077Dvn+957z/u+u647oHuWO4+7i7uJO4Y7gLt1u2S7T7s6+yo7H/sbuxv7Hjsh+yV7J7sm+yN7H/shOyp7O3tP+2I7b3t5u4Y7mXuyu8w73vvm++V73vvY+9Z71jvU+887wzuw+5p7grttO1x7UPtJe0O7Pns7Ozw7QvtOO1o7Yntle2U7Zftre3W7gfuLe4+7j/uO+5A7lXud+6e7r/u1O7a7tju0u7R7tfu4+7y7v3vAu7/7vnu8+7y7vrvC+8l70XvZO99743vl++e76jvu+/U7/LwEvAw8FDwePCw8P7xYvHQ8jjyiPK78tby7PMN8z3zdvOs89Xz9PQV9EL0fvTE9Qr1S/WI9cj2CvZM9ob2t/bi9xD3SPeK98/4E/hS+JD40PkU+Vn5nfnh+ib6b/q6+wP7SPuN+9n8MfyW/P/9ZP29/g/+YP66/x7/hv/nADsAgAC4AOkBFQE/AWkBlgHFAfUCIQJHAmoCkQLCAwADRwONA8wEAwQ2BGsEogTcBRYFUAWLBccGAQY2BmIGhgamBsQG3gbvBvQG8wb2BwcHKQdRB3AHfQd7B3QHdQeFB50HtQfHB9YH5Qf6CBQILwhJCGAIeQiWCLgI3gkKCTsJbwmhCcwJ6woACgwKEwoVCgsJ9QnSCacJdQk8CPkIsQh0CFUIZgifCOkJIgk0CRwI7gjACJ0IhAhyCGMIXghmCHUIfAhqCD0IAwfSB7wHwAfTB+QH7AfqB+cH5QfkB+IH3wfcB9kH1AfMB8QHxAfSB+8IDwgjCCQIGwgeCD4IfgjRCSEJZAmbCc0J8wnwCZoIyAd1BcED8gJYATQAowCdAP4BlgI6As8DSAOgA9oD+AP+A/ED3gPMA8IDvAOyA54DfQNVAysDAgLYAqkCdQI/Ag4B6AHNAbcBnQF8AVUBLgENAPQA3wDFAJ8AagAq/+b/of9d/x3+7/7l/w7/Zv/KAAj/9P+G/uX+Uv4I/hr+bv7S/x3/Qv9O/1T/Wv9a/0r/Lv8Y/xX/Kv9K/2L/af9j/1z/XP9j/2j/aP9n/2v/dv+D/4j/hP96/3T/eP+C/4v/kP+S/5f/ov+y/8D/y//V/+b//gAZADAAPABBAEQATQBbAGkAcgB3AHoAgQCNAJkApQCyAMAA0gDmAPYBBAEQASABNwFSAWoBewGDAYcBjQGXAaIBqwGvAbEBsgG0AbcBuwG+AcEBxQHKAdEB2AHfAeQB5wHpAesB7wH1AfoB+gHzAecB2wHUAdUB2QHbAdcBzQHDAbsBtwGxAagBnAGRAYkBhgGDAXsBbQFaAUcBNAEiAQ8A+wDnANUAxACzAKAAigB0AGAATwA9ACoAFQAB//D/4//X/8f/tP+d/4b/b/9Y/0D/Jv8O/vr+6v7b/sr+tf6d/oX+bP5Q/jL+Ef3y/dX9vf2m/Yv9av1I/Sf9DPz1/N78w/yl/If8avxR/Dj8Hfv++9v7uPuV+3T7U/sx+w/67PrM+qz6j/pz+lj6Pvoi+gX55/nI+aj5iPlp+Uz5MfkY+QD46fjS+Lr4o/iN+Hv4avhY+EP4LvgZ+Aj3+/fw9+X32PfN98X3wvfE98j3yPfF97/3ufe097L3r/eq96P3nfeZ95n3m/ee9573m/eX95T3k/eS94r3ePdb9zv3IfcX9yD3NvdN91n3VvdK90f3W/eT9+f4RfiQ+K/4lvhP9/P3pfeB95P32Pg5+J/49fku+Un5Svk7+Sf5FvkP+RP5H/ku+Tz5SflX+Wn5fvmP+Zb5kvmL+Y35oPnF+e/6CvoN+fv56Pns+hL6U/qY+sj61frD+qb6j/qI+ov6jPqA+mX6Rvov+ir6NfpH+lD6R/oo+f751Pm3+aj5ovmf+Zf5i/l++XX5bvlo+V75T/k/+S/5IvkW+Qj4+vju+On47Pj2+P74/fjr+MX4jvhO+A732ve596b3mPeA91j3Ivbr9r/2nvaC9l32J/Xm9ab1dfVc9VX1V/VY9VH1QPUn9Qn06fTM9LH0l/R59FP0JvP489HzsvOb84bzcfNf81fzWvNf81fzNfL38qvyY/Iv8hTyEPIb8i3yP/JH8jzyG/Hm8a3xffFg8VPxT/FN8UrxSPFJ8UrxSfFG8UfxUPFi8XXxfPFw8VbxOPEj8RzxHPEc8RjxE/ES8RfxH/Ej8SDxF/EP8Q7xFPEg8THxRfFh8YTxrfHa8gXyL/JW8nnyl/Kw8sLy0/Lk8vfzC/Mg8zXzTPNl84LzoPO989vz/vQs9Gf0q/Tt9SH1PvVD9Tj1LfUy9U/1hfXK9hP2WPaY9tj3G/dg96L31/f8+BT4Jvg6+FH4aPh5+IP4ifiU+Kf4wvjf+Pj5C/kc+TL5U/l9+ab5x/nd+fD6DvpC+pX7A/uF/BP8pf04/cX+Rv61/w7/VP+Q/80AEQBfALQBCwFfAa0B9QI5An4CwwMJA0gDewOkA8gD9AQyBIQE4QVEBacGDwaCBwAHggf4CFkIpgjpCS4JdAmyCdwJ8An5CgsKNgp5CsgLEgtRC4oLzAwiDIkM8g1LDYkNrQ3DDdUN6g4CDhwONg5QDm0Ojw62DuEPEQ9HD4MPwg//EDYQZBCNELUQ3xENET4RcBGmEeISJhJvErYS9hMsE1sThxO2E+YUFRQ9FGEUgxSoFNIVABUuFVoVhhWzFeQWGRZOFoAWrxbdFw0XPxd0F6cX1Rf+GCIYRxhwGKAY1BkGGTAZThljGXIZghmQGZkZlRmEGWoZURlBGTsZOBkwGR8ZBRjpGNEYvhiuGKAYlBiMGIgYhxiGGIMYfxh7GHgYdRhvGGUYWhhOGEEYMRgaF/4X4hfLF7wXsRehF4cXYhc5FxMW9RbZFroWlxZ0FlcWRBY2FiIWAhXVFaUVgBVvFXEVfhWJFYgVeRVgFUUVLBUZFQ0VBhUHFQ4VGhUnFS4VLRUlFRwVFhUVFRQVCxT1FNQUrxSQFHsUbhRiFFIUPhQoFBQUAhPvE9kTvxOkE4sTdBNfE0gTMRMaEwQS8BLdEsgSsBKXEoESaBJNEi8SEBH0Ed8R1BHSEdYR4BHsEfgSAxILEhMSHhIxEksSaBKCEpMSnxKsEsIS4hMFEyITMhM3EzgTPBNDE0ITLxMFEsoSjhJfEkMSNxIwEiMSDRH0EdwRyBG3EacRlBGDEXoRehGDEY4RmRGkEbQRzxH3EiUSShJXEkUSFhHVEZIRWREwERcRCREEEQgREhEfESgRJRETEPYQ0xCxEJEQcBBLECIP+g/VD7YPmQ94D1QPMQ8YDw0PDg8ODwEO3g6kDloOCg2/DYINWQ1EDT8NQA0/DTMNHQz/DN8MvwyeDHkMUAwkC/gL0gu0C5wLhQtnCzsK+wqtClgKCgnNCaQJhglrCUsJJgkACOEIyQi0CJoIeAhOCCQH/wfhB8YHpQd5B0IHBQbLBpoGcQZLBiIF8gW+BYcFUQUaBOAEoARdBBoD2gOdA2EDJALnAqwCcgI4AfkBswFkAQwAsABO/+r/hP8k/tD+kP5g/jf+Cf3L/Xn9F/yt/EX76Pub+2L7Ovsf+wr69frb+r76m/p1+kz6IPn3+dP5tvmd+YT5ZflC+SD5BPjt+Nf4vfib+Hf4Vvg7+CT4Cffo98T3p/ea95r3n/eh96D3pPe599/4Cfgg+BD31veC9yz25vaz9oj2VfYT9cf1fvVB9RP07PTC9Iz0TvQN89TzpfOA82HzRPMt8yHzIfMs8zrzQ/NA8zLzG/L/8uLyxPKp8pDye/Jo8lPyN/IR8eHxq/Fz8T3xC/Dd8LTwj/Bu8FHwN/Ak8BrwGfAb8BnwCu/u78jvo++D72zvWu9M7z7vM+8r7yTvHe8Z7xzvKe8+71LvXu9b703vPO8w7yfvG+8E7t/use6C7lbuM+4Z7gnuAe347eDtrO1Z7PfsnOxb7DnsK+wh7BPsAev16/Dr7Ovi69Trz+vl7BvsZuyu7OXtDe077YXt7+5q7trvK+9Y72rvb+9v72fvU+8u7vjusO5X7fDthO0k7N7suOys7LDsuezH7N/tAu0s7VHtZ+1s7W3teO2W7cPt8u4X7i3uOe5G7l/uhO6s7s7u4e7l7uHu3+7k7vLvAe8K7wnu/u7u7t/u1e7S7tfu5O737w3vIe8y7z/vTO9d73Xvk++279nv/PAg8Ebwc/Cs8PPxSPGj8fnyPfJu8pHytfLk8x/zXvOW88Pz6vQX9E/0kPTR9Qr1PfVx9a318vY59nn2sfbk9xr3Wvef9+X4Jvhj+J/43vkg+WP5pPnl+ir6c/rA+w37Wfum+/r8WPy8/R79eP3I/hf+bv7U/0X/tQAWAGIAlwC/AOIBBwExAWABkgHCAe8CGAI9AmMCkQLIAwgDTAONA8oEAwQ9BHgEswTqBR4FUgWLBcsGCwZFBnIGlAawBs0G6QcABw4HFAcZBykHRAdjB3oHgQd8B3YHeQeJB6EHuQfNB+AH9ggUCDYIWAh1CI8IqgjLCPQJIwlVCYgJuAniCgIKGAomCjAKNwo3CikKCQnZCaEJZwkuCPMIuAiHCHMIiQjGCRIJTAldCUYJFwjmCMAIogiICHIIZwhtCH4Ihwh1CEIH+we8B5sHnAezB8wH2AfYB88HxwfDB8IHwgfFB8gHzgfWB+EH8ggHCBoIJAgiCB0IJAhFCIQI0gkdCVcJgQmlCcMJwwl8CMUHjwX1BDgCpgGDAPEA7AFTAfMCngMwA5oD3AQCBBgEIgQgBBAD9gPZA78DqwOYA4ADXwM3AwsC4AK1AoYCUwIdAewBwwGiAYUBZwFEAR0A+ADZAMAAqgCSAHIARwAT/9b/kf9B/un+l/5p/nn+0P9R/8L/4v+V/vT+Rf3T/cX+DP53/tH/BP8Y/yD/J/8o/xf++P7b/tH+5P8G/yT/Mv8x/y7/Mv86/z7/O/81/zT/PP9K/1L/Uf9J/0X/Sf9V/1//Y/9j/2f/dP+G/5j/pP+u/7v/z//k//X//QAAAAUAEQAkADYAQABEAEcATgBbAGkAdgCCAI8AnwCyAMMA0ADbAOoBAAEaATEBQQFHAUoBTwFaAWgBdAF9AYABgQGBAYIBhAGGAYoBjwGVAZoBnwGlAasBrwGyAbMBswG0AbUBswGtAaMBmAGSAZQBmgGdAZoBkAGGAX4BewF3AW8BYgFVAU0BSQFHAUEBNAEiAQ4A+wDpANYAwQCtAJwAjQB9AGkAUAA1ABwACf/6/+r/2f/F/7H/n/+O/33/af9T/z3/Jv8P/vb+3v7H/rP+ov6Q/n3+Z/5R/jz+J/4P/fL90P2u/ZD9dP1a/T79H/z+/OH8yfyz/J38hPxn/Er8LvwT+/b71/u1+5L7cftQ+y/7DPro+sT6pPqI+m36Uvo0+hX59vnY+bz5ofmF+Wf5R/kn+Qj47PjT+L74qfiT+H74afhW+EX4M/gg+Az39vfj99L3xPe396r3nfeS94z3jPeP95L3kveP94n3hfeD94X3h/eJ94b3gfd793j3ePd693v3efd092/3bfdu9273ZfdS9zb3G/cI9wb3Evck9zH3Mfcj9xD3B/cY91D3qvgS+Gb4iPhp+Bb3svdp91v3j/fz+GX4x/kH+SP5I/kU+QD47fjh+N745vj0+QX5F/kq+UD5Wflw+YH5h/mH+Yz5nfm8+eD5+Pn8+e/54/nu+hr6Yfqr+t767vrc+rv6m/qK+oX6hPp9+m36WfpJ+kb6UPpf+mj6YfpG+h759fnX+cf5wvm++bb5qPmZ+Yz5gvl3+Wn5WvlN+UT5Pvk2+Sr5GfkL+QT5CPkP+RP5Dfj5+Nf4qPhu+C738Pe/95z3g/do90H3EPbf9rr2pfaT9nX2P/X39a/1e/Vi9WD1ZfVk9Vf1QfUn9Q309PTc9MX0sPSY9Hn0UvQl8/jz0/O686zzq/O489Pz8/QH8/3zyPNx8w/yvfKN8n7ygfKG8oTyefJo8lDyMfII8dvxsvGV8YTxe/Fz8WrxYvFf8V/xYPFi8WbxbvF88YjxivF/8WnxVPFI8UbxR/FF8TvxMPEq8SvxMPEy8SvxH/EV8RPxHfEw8UjxZPGH8bHx3/IP8jvyYfKD8qDyvfLX8vDzBfMY8yjzNvNG81nzc/OV87zz6fQZ9E70ifTH9QL1NPVT9V31VPVB9TL1MvVK9Xz1wfYN9lT2jfa89uj3F/dK9333qffJ9+D39PgJ+CD4NfhF+FD4Xfhx+JH4ufjh+QT5H/k3+VL5dfmd+cH52vnk+en5+Poi+nP65/t1/Az8oP0o/Z/+BP5Z/qD+4v8j/2r/uAAMAGUAvwEZAW8BwQINAlYCnALeAxkDRwNqA4kDswPxBEcEqgUPBWwFxAYgBoMG7AdSB7AICQhrCNwJWgnTCjMKbwqOCqMKvwrrCx4LUQuBC7YL+wxWDL0NIA1uDaENvw3UDeoOAg4ZDikOMg46DkYOWw56DqEO0A8HD0QPhg/HEAUQPBBvEKEQ0xEGETkRahGeEdcSGRJfEqQS4hMXE0QTcBOfE9AUARQrFFEUcxSYFMIU8RUiFVMVhBW0FeUWFRZGFnUWpBbUFwUXOBdqF5sXyhf2GB0YQhhoGJIYwxj2GScZThlpGXsZiBmVGaAZpBmbGYcZbRlYGUwZRRk+GS4ZFxj6GN0YwxitGJgYhhh5GHMYdBh2GHgYdxh0GHAYahhhGFUYRhg2GCgYGRgHF/AX1xfCF7IXpheWF34XXBc2FxEW8BbTFrUWlhZ3Fl4WTBY9FigWBhXYFaYVexVdFVAVTBVJFT0VJhUGFOQUwhSkFIkUcRRdFFEUUhRgFHcUkxSuFMcU3hTzFQAU/xTuFM8UrBSOFHgUZxRTFDkUGhP9E+cT1xPJE7YTmxN8E18TRxM1EyYTGRMLEv0S7RLcEscSsRKZEnwSaBJUEj0SIhIIEfQR7BHxEf8SDxIdEiYSKxIwEjkSSRJdEnISgxKOEpQSmxKrEscS7BMSEzATQBNBEzgTKRMXEv0S2BKmEnASQhInEiUSNBJFEksSQBIpEhER/RHwEeQR1hHHEbwRvBHKEeAR9hIFEg8SHBIwEksSZxJ1EmoSRBIJEcYRiRFbET4RMhExETYRPRFBET0RLREREO0QxhCjEIQQZxBIECcQBw/qD9APtQ+WD3EPTA8vDyIPJQ8wDzgPMQ8VDuEOmQ5EDe8NpA1uDUwNOQ0sDRwNBQzqDM0MsAyQDGsMPwwPC+ALtguWC38LbAtVCzEK+wq2CmwKKAn0Cc0JrQmJCV4JLwkGCOcI1AjDCK4IjghmCDwIFwf4B9oHtweMB1cHHQblBrEGggZUBiQF8gW+BYsFWQUlBOwEsARzBDcD/wPHA4sDSQMCAr0CfAI/AgABuAFmAQsArgBS//j/oP9N/wL+w/6P/mD+LP3s/Zz9PfzV/G38DvvC+4r7ZPtI+yz7Cvri+rn6k/pw+kz6Jvn++dj5uvmh+Yn5bflL+Sj5Cfju+NT4t/iV+HD4Tvgx+Bf3/Pfd9773p/eb95r3m/eb9533pve999v37ffj97L3ZvcS9sv2mvZ39lH2H/Xe9Zj1WfUl9Pn0zvSc9GH0IvPn87TzifNj8z/zHfMC8vPy8fL68wfzD/ML8vry4PLC8qPyhfJo8kzyM/Ia8gHx5PG/8ZLxYPEs8PnwyPCc8HPwT/Av8BLv/O/t7+nv7e/y7/Hv4O/A75fvbe9K7zHvHO8K7vju6e7d7tPuyO6+7rnuvu7M7tzu5u7i7tTuwe6x7qXume6H7m3uT+4y7hruCO397fvuAe4F7fnt0e2M7Trs8+zG7LDsm+x27EDsCuvv6/jsF+wv7CzsDuvt6+Dr7+wP7C/sSOxj7JLs4u1O7cbuOe6d7vDvM+9h73bvcu9X7yzu8O6d7i7tq+0p7MTsj+yI7Jvssuy+7MPszOzf7PvtFO0h7SLtJe037V/tmO3T7gXuKe5G7mTuiO6u7s7u4O7l7uTu5+7z7wbvF+8a7w7u9e7Y7r7urO6l7qjusu7B7tHu3e7m7u/vAe8d70Lva++R77Tv2PAA8DHwaPCl8OXxKfFv8bLx8PIm8lnykPLO8xDzTvOB863z2fQP9FH0lvTU9Qb1MfVi9Z715/Yz9nr2ufb29zX3efe99/74Ovh0+LD48Pky+XH5r/nu+jT6gPrP+x/7cPvE/CD8g/zm/UD9jv3V/iL+gP7x/23/4gBBAIMArQDLAOgBCgEzAWEBjwG6AeICCAIvAlsCjwLKAwoDSgOJA8UEAwRBBH4EtwToBRUFRQV/BcMGCwZNBoAGpQbDBuAG/QcWByYHLQcwBzgHSgdhB3QHfweDB4YHjgeeB7IHxQfYB+8IEAg6CGcIjwiuCMcI4wkICToJdgm2CfUKKgpPCmEKYgpaClMKTwpJCjYKDgnTCZAJUQkfCPUIzwiwCKMItgjqCTAJbQmJCX4JVwkkCPMIxwieCHoIZQhjCG8IdghjCC4H5AeiB30HfgeZB7gHywfMB8MHuQe0B7UHuQe/B8oH2gfxCA4IKgg9CEAIMwgiCCEIQQiFCNsJLAlkCYQJmQmrCaoJbgjFB5oGBARJAsABrwEzAUABrwJQAvkDjAP2BDQETAROBEoERgQ+BC0EDwPpA8MDpAOKA28DTgMlAvUCwwKRAl0CKwH7Ac4BpQF+AVcBMAELAOkAyQCsAJAAdQBaAD4AHv/4/8n/i/84/tH+Zv4X/gv+W/71/5wAAP/p/1r+k/3s/aX9xf4j/oT+xf7l/vX/A/8K/wD+4v69/qf+q/7D/t3+7P7x/vX/Af8Q/xn/Fv8O/wn/Dv8a/yH/Hf8T/w3/Ev8h/y//Nv83/zr/Rv9Y/2r/dv99/4X/k/+m/7b/wf/H/9D/4P/1AAgAEwAXABwAJgA2AEYAUgBaAGIAbgB/AJAAnQCoALUAxwDdAPEA/gEDAQUBCwEYASoBOwFHAUwBTAFIAUMBQQFEAUwBVgFgAWUBZwFqAW4BdQF7AXwBegF1AXIBcAFrAWQBWgFVAVcBXgFkAWMBWgFPAUYBQgE/ATkBLgEhARYBEAELAQQA9wDnANUAxACzAJ8AiQBzAGAAUgBFADMAGv/8/+D/yv+5/6v/nP+K/3b/Yf9O/zr/Jf8P/vj+4f7I/rD+mP6C/m/+Xf5J/jP+G/4E/e/92/3E/af9hf1j/UP9J/0N/PP81/y8/KL8i/xz/Fn8O/wd/AD75fvK+637jPtr+0r7LPsN+uz6xvqf+nn6Wfo/+if6Dvnx+dD5r/mO+XH5Vvk7+SD5Avjk+Mf4rPiV+H/4avhV+ED4Lfga+An3+Pfk98/3ufel95T3hfd392n3XvdW91L3UfdS91X3V/dY91f3VPdS91H3U/dW91n3WvdX91P3UfdS91H3TvdG9z33OPc59z73Qfc79yr3E/b+9vH27vb19v/3BPcA9vH23vba9vf3P/er+Bv4ZPho+CT3u/df9z33ZvfL+EX4r/jz+Q/5D/j++Of4z/i8+LX4u/jN+OX4/fkT+Sj5Qfle+Xr5kPme+an5uPnM+eT59Pn5+fT59foL+j36hfrN+wD7D/r8+tX6rfqS+oj6ivqP+o/6hvp3+mn6Y/pm+mv6afpZ+j36G/oB+fL57fnp+eD5z/m7+an5mvmN+YD5dPlt+Wv5aflj+VP5Pvkt+Sb5Kfks+SX5Efjx+Mz4ovhz+Dv3/vfG95r3e/de9zv3Dfbe9rn2o/aT9nn2SPYD9b31ivVz9XD1cPVn9VP1OfUi9Q/0/fTr9Nb0wfSp9I30Z/Q59Azz6vPc8+b0BfQy9GP0ivSV9Hb0K/PE81/zF/L48vby+PLq8sTykvJl8kXyMPId8gbx6fHM8bLxnvGM8XvxbfFk8WLxZvFt8XbxgvGN8ZbxlvGN8X7xcfFu8XLxePF28WvxXfFR8UvxSfFE8TnxLfEl8SjxN/FP8Wvxi/Gv8djyBPIw8lfydvKO8qTyvPLX8vbzFfMv80HzT/Nb82zziPOv8+H0HfRj9LL1BvVV9ZL1sfWw9ZT1bfVL9Tv1RfVo9Z/14vYm9mT2mfbH9vX3JPdU94D3o/e999H35Pf5+A34Hfgo+DL4Qfha+H74qPjT+Pn5Gfk1+VP5dfmb+b351Pnd+d755/oI+lH6wPtM++H8b/zq/VD9pf3v/jX+fP7J/xv/cf/KACUAggDfATkBjQHZAiECaAKvAvIDKwNVA3YDmgPPBBsEeQTbBTgFjQXgBjQGiAbYByQHdAfYCFkI9AmVCiIKiQrKCvALCwslC0ELYAuGC7wMCQxpDNANLQ10DaUNxw3kDgEOGg4qDi4OKA4iDiIOLg5GDmkOlQ7KDwkPTg+VD9kQGRBTEI0QxhD+ETURahGdEdISDBJKEokSwxL5EyoTWhOLE70T7RQaFEIUaBSOFLYU4xUTFUYVehWtFd4WDBY3FmQWlRbJFwAXNhdoF5cXxBfvGBcYPRhgGIQYsBjjGRoZShluGYQZkRmcGacZsBmxGaYZkhl8GWsZYBlYGUwZOxkkGQkY7RjQGLEYlBh+GHEYbhhwGHQYdRh0GHAYaxhhGFEYPRgpGBcYCRf7F+oX1hfAF6oXlBd8F2EXQhchFwIW5xbOFrUWmhZ+FmUWThY4Fh8V/hXWFasVgxVgFUUVLRUVFPgU1hSxFI0UbBRPFDEUDhPpE8cTsxO0E8gT6RQPFDQUVBRwFIYUkRSQFIQUcxRmFF0UUxRCFCQT/RPXE7sTqhOfE5MTgBNmE0oTMBMaEwkS/RL0Eu0S5RLYEsUSrRKUEnYSZRJZEk0SPBIoEhcSEhIaEiwSQBJNElESUhJXEmYSfBKTEqISphKiEp8SqBK/EuQTDhMyE0cTSBM3ExoS9hLSEq0ShhJdEjUSGhIXEjASXRKNEqsSrxKcEoISbRJiElsSUBI/EjASLhI+El0SexKOEo8ShxJ/En4SgxKDEnQSUBIcEeERrBGGEXIRbBFtEW4RaBFbEUQRJxEFEOEQvxChEIgQchBcEEMQKRAPD/QP2Q+8D5wPfA9gD0sPQQ9CD0kPUQ9PDzsPCw7ADmAN+w2iDV4NMQ0UDP8M7AzYDMQMrQyRDGsMPAwHC88LnAtzC1ULQAstCxEK5wquCm8KNQoGCeEJvgmUCWIJLgkCCOUI0wjDCK0IjQhmCD8IHQf/B+IHvweUB2AHJgbsBrQGfwZNBhsF5wW0BX8FSQURBNQElgRbBCUD9QPEA44DTgMIAsMChAJKAg4BygF6ASEAxwBuABn/yP97/zP+8/67/on+Vv4b/dT9gP0j/MP8afwe++X7uPuO+1/7J/rq+rP6h/pm+kj6KPoD+d/5wPmo+ZL5ePlY+TX5Ffj4+N74wPib+HP4S/go+An37PfP97b3o/eZ95X3kfeN94z3lfen97f3s/eP90z2+vav9nv2WvY/9hr15PWk9Wb1MvUG9Nv0q/Ry9Dbz/fPL85/zdfNL8yDy+fLa8snyxfLL8tXy2fLS8sDypPKE8mXySPIt8hHx9PHW8bbxlPFu8UfxH/D18MzwoPB08ErwI/AB7+Xvz+/B77vvvO+/77vvqu+M72XvPe8c7wLu6+7V7r/urO6f7pbui+597m7uY+5f7mLuZu5m7mDuV+5O7kLuL+4U7fTt1+3D7bztvu3H7dbt6e377gLt9O3T7a7tle2S7ZXtg+1L7Pbsp+yJ7Kzs+O067UXtDOyn7D/r9uvT68frw+vF69Xr/uxG7KftGO2Q7gvugO7l7y/vXe9w727vUe8Q7qLuD+1z7PPsreyh7Lns0ezT7L/sp+yh7LLsz+zo7PLs8+z67RXtR+2H7cbt++4k7kjubu6U7rXuye7R7tLu1+7l7vnvC+8R7wbu7e7N7q/ul+6L7orule6m7rbuwO7E7sru2+767yPvTe9w747vsO/d8BjwXPCh8ODxG/FT8Y3xx/IC8j/ygPLE8wXzPfNr85XzxPQA9Ef0jvTM9P71K/Vf9aD16/Y69oT2yvcP91T3mffa+BT4TPiH+Mf5CflJ+YT5vvn++kf6mPrr+zv7i/vh/EP8q/0Q/Wf9rv3v/jr+m/8R/43//QBVAI8AtgDVAPUBGwFFAW4BlQG4AdsCAAIpAlkCjwLKAwgDRwOHA8cEBwRGBIAEswTgBQoFOAVyBbcGAgZJBoUGtAbZBvkHFgcrBzgHOwc8B0AHTQdiB3kHjgeeB6sHuAfEB9AH3AftCAoINQhrCKII0AjxCQsJJglMCYIJxgoSCl0KmwrDCs0KvAqbCnkKYApNCjUKDAnPCYkJSwkfCQMI7gjbCM4I1wj9CTwJfwmtCbUJmgllCSYI5gipCHYIVQhLCFAIVAhDCBUH1QeZB3oHfweeB8IH2wfiB90H1wfVB9kH4AfmB+4H/AgTCDEITgheCFsITQhFCFkIkwjpCT8JfAmVCZgJlQmNCV8I0wfDBjcEcgLYAcIBVQGAAgcCrgNLA8wELQRtBI0EkQSCBG8EYARRBDwEGwPyA8YDoAOAA2IDPwMUAuACpgJoAiwB9gHHAZ4BdgFNASAA9gDTALgAoACGAGYARAAjAAf/7P/N/6X/bv8l/sX+Vf3w/cL98v6H/1D/9gAo/8n/Bv45/bj9pP3h/jf+ef6c/rH+x/7d/uT+0v6u/o7+gf6I/pX+nv6i/qr+u/7R/uL+5f7f/tv+4P7q/vH+6/7f/tf+3f7u/v//Cf8L/w3/F/8p/zn/Qv9F/0n/Vv9r/4D/kP+b/6b/tv/K/9z/6P/v//cABAAVACQALAAvADMAPgBPAGIAcgB9AIgAlgCmALMAugC6ALsAwQDQAOUA+wELARIBEQEJAP8A+gD+AQwBHwEuATUBMgEuAS0BMwE7AT8BPQE4ATQBMgExASwBJAEdARwBIgEqAS0BJwEcARIBDgEMAQoBAgD2AOgA3ADRAMUAtgClAJUAhwB3AGQATQA1ACEAEwAG//j/4//I/63/lv+C/3L/Yf9O/zr/Jv8Q/vr+4/7L/rP+m/6C/mr+U/4+/iz+Gf4F/e791f29/ab9jv10/VX9M/0R/PT82/zE/K38lfx+/Gb8Tfwx/BL78PvQ+7P7mft++2D7P/sd+v764vrF+qX6gPpZ+jT6FPn5+eD5xvmp+Yr5aflJ+Sr5Dvjy+Nf4vPii+Ij4cfha+ET4LvgY+AP37vfc98r3t/ej9473d/di9073Pvcw9yX3Hvca9xb3E/cR9xP3Gfch9yf3KPcj9x73HPcf9yb3LPcs9yn3Jvcl9yb3JPcd9xL3CfcH9wv3EPcQ9wj2+vbo9tj2zPbH9sj2zvbT9tD2w/a59sb2/Pdc9874J/hA+BH3tvdi90X3cvfZ+FL4tvjx+QT4+/jk+Mn4rfiY+JD4m/i1+Nb48/kJ+Rn5LflJ+W35kfmv+cX51vnn+ff6A/oH+gf6Dvoo+lr6nvrj+xb7Kfsa+vT6yPqo+p36p/q8+s360frD+qv6lfqL+oz6j/qH+nH6Uvo2+ib6IPob+hD5+/ng+cb5sfmh+ZT5jfmM+ZH5lvmT+YP5a/lW+Uv5SvlI+Tf5Ffjm+Lb4i/hg+DH3+/fF95j3efdg90H3Fvbl9rj2mPaC9mf2PfYF9c31o/WO9Yf1f/Vt9VP1OvUn9Rr1DfT69OH0xfSq9Iz0aPQ/9Bn0BfQM9C70X/SR9LX0wPSs9HX0JPPK833zUfNG80nzQPMY8tPyhfJG8iXyHfIc8hPx/fHf8cDxpvGQ8X7xbvFk8WHxZfFu8Xrxh/GS8ZrxnPGW8Y7xifGL8ZPxm/Gd8ZfxjfGC8XnxcfFn8VnxTfFJ8VDxYfF58ZPxrvHL8ezyEPI08lTybPJ/8pDypfLA8uLzB/Mn8z/zUfNg83bzl/PH9AL0R/SV9Or1QvWP9cL10PW79ZD1Y/VG9UT1XPWH9bz18/Yo9lr2jfbD9v73O/dy9573uvfM99n35/f2+AT4D/gY+CP4N/hU+Hn4ovjL+O/5D/kq+UT5X/l9+Z/5vvnV+eT58/oQ+kv6qfsi+6b8JPyS/O/9QP2N/dz+L/6G/t7/OP+U//IAUgCyAQwBXAGiAeQCLAJ8AtADHQNWA3wDmgPBA/0ETwSuBQ4FaAW6BgcGTgaOBssHDwdnB94IcQkRCakKKAqICskK8wsQCycLQwtuC7AMCAxvDNQNLQ1zDakN1g37DhcOJg4nDhwODQ4DDgMODg4iDj8OZg6ZDtkPIQ9uD7gP/RA8EHcQsxDwESsRZBGZEcsR/RIxEmcSoBLZExETRxN6E6wT3BQLFDkUZRSPFLcU4BULFTsVbxWiFdMV/hYnFlIWhBa+FvoXMxdnF5YXwRfsGBUYOhhaGHkYnxjPGQcZPxlsGYoZmxmmGbEZvRnFGcIZtRmiGY8ZgRl4GXAZZRlXGUQZLBkNGOcYvhiYGHwYbBhnGGcYaRhsGG4YbRhmGFcYQRgoGBIYARfzF+UX0he5F5wXfxdhF0YXKxcRFvkW4RbJFrAWlBZ3FlsWQBYmFgwV8RXVFbUVkhVrFUIVGBTsFL4UkRRlFD8UIRQJE/IT1xO0E5ETdhNrE3ITgROQE5sToxOvE78T0hPjE+0T9RP/FA0UGxQfFBMT9hPRE64TlROFE3oTbhNdE0gTLxMVEv4S6xLhEt0S3BLVEsUSqxKPEn8ScxJuEmsSZBJXEksSSBJSEmUSeBKCEoESfhKCEpISrBLDEs4SyRK+ErwSzRLxEx8TRxNdE10TRxMkEvwS1hK2EpsSgRJlEkgSNxI+EmcSqhLvEx4TKRMWEvkS5RLiEuYS4hLRErgSqRKtEsIS2hLlEt0SyBKxEqASlRKGEm0SRRIVEeURvxGpEaARoBGeEZQRfhFeEToRFxD2ENoQwBCoEJQQhBB1EGUQUBA4EB8QBw/zD+APzA+zD5QPcw9YD0kPTA9aD2MPVA8gDsYOVQ3iDYANOA0KDO8M3gzRDMUMtQybDHUMRAwJC8oLjwtcCzYLHQsJCvMKzwqeCmQKLQoACdsJtwmMCVkJJwj+COIIzwi7CKEIfghYCDUIFgf7B94HuwePB1oHHgbfBqIGaQY2BgYF1gWkBW8FNwT7BLwEewQ8BAQD0gOjA3EDOAL8AsACigJYAiQB6AGhAVEA/wCtAFoABv+z/2L/Gv7e/qr+e/5K/hD9zP1+/Sv82vyR/FT8Hvvm+6X7XPsQ+sz6mPpy+lP6MvoO+er5zPm1+Z/5hvln+UX5JPkI+Oz4zPil+Hn4T/gp+Ar37vfU9733qved95L3hvd793X3dvd893r3ZPcw9uf2m/Zf9jr2I/YI9d71pPVm9TD1BfTh9Lf0hfRL9BHz4PO1847zY/M18wby3PK88qnyn/Kd8p3ymfKP8nzyYvJF8ijyDPHy8dfxu/Ga8XfxUvEu8Q/w9PDb8L7wmfBs8DvwDe/m78fvsO+d75DviO+E737vce9a7zvvGu787uLuyu6x7pjugu5y7mXuVu5B7ifuDO357fDt7+3w7fDt7O3i7dDtsu2L7WLtQ+037TvtS+1d7W7tfu2O7Zrtnu2d7aHttu3d7gPuCu3f7Y/tRe0v7WLtxe4c7i/t5e1W7LLsJ+vK65TrdOth613rb+ub693sMeyU7QTtf+387nPu2e8q72Lvde9X7v7ude3Z7VTtBuzz7QLtD+0B7NXso+yG7I3ssOza7PbtAO0B7QrtJu1T7YftuO3j7gruM+5e7oPunO6m7qbup+6y7sbu3e7v7vfu8e7i7s7uue6p7qXure697s7u2O7b7t3u6O8C7yTvRu9h73rvme/I8AnwU/Cb8NzxFvFN8YTxvvH48jTyc/Kz8vHzKPNW84HztPPy9Dn0gPS/9Pb1K/Vo9a71+vZF9o321Pce92j3rvft+Cb4Yfii+Oj5Lflq+Z/51foW+mX6uvsL+1X7nvvx/FT8w/0w/Yz91v4Z/mb+xf80/6UACABSAIcArwDVAQABLQFaAYEBoQG+Ad0CAQIrAlwCkgLLAwkDSgOOA9EEEgROBIMEsgTdBQcFNQVsBawF8wY7Bn8GuQbnBwoHIwczBzsHPwdEB04HYQd6B5cHsQfGB9UH3wflB+sH9ggLCC8IYgieCNsJDgk1CVQJcQmWCcYKAgpICpEK1AsDCxIK/grPCpcKZgpBCiIJ/AnJCYwJVgkwCRwJEQkGCPsI/QkZCVAJkwnKCd0JxwmPCUQI9QirCG4IRwg3CDgIPQg1CBUH5ge5B6QHrQfNB/MIDQgYCBcIFAgWCBwIIggkCCQIJwg0CEoIYwh2CH4IgwiVCMIJCwleCZ0JtgmpCYYJXAkgCKkHyAZuBMMDIgHzAXQBogJAAvsDmgQIBE8EgQSkBLQErwSZBH0EYwRMBDMEEQPnA7oDjwNoA0IDGgLtArkCfQI7AfkBvAGJAV8BOAEPAOQAvQCfAIkAdgBcADoAFv/3/93/wf+c/2z/Nf75/q/+T/3i/Y39hv3v/rP/hP/+/+P/QP5r/cX9hv2l/e3+KP5G/lX+bP6N/qj+rP6X/nn+Y/5e/l/+Xv5b/l7+bv6G/pz+pP6h/p3+o/6w/rr+uv6y/qz+sf7C/tT+3/7h/uP+7f7//w//GP8Z/xr/Jf86/1H/Y/9t/3b/g/+V/6j/t//C/8z/2f/o//T/+v/7AAEADgAiADgASQBUAF0AZwBxAHgAeAB0AHMAegCKAKEAuADKANMA0wDLAMAAuQC+AM8A6AD9AQUA/wDzAOwA7gD2APwA/AD3APQA8wD1APMA7ADkAOIA5gDvAPUA8wDqAOEA3QDcANwA1gDKALoAqQCXAIYAcwBiAFEAQwA1ACQAD//4/+T/0//H/7r/qv+W/4H/av9V/0D/Kv8U/v/+6f7T/rr+of6H/m7+Vv4+/if+Ef38/ef90/2+/af9kP14/WD9Rv0p/Qj85vzH/Kz8lvyA/Gr8U/w7/CP8Cfvr+8v7qfuK+277VPs5+xn69/rV+rX6mPp7+lz6O/oZ+fj52vm9+aD5gvlj+UX5KPkL+O740Piz+Jf4fvhm+E/4OPgi+Az39ffe98f3sfed94r3ePdk90/3N/cg9wv2+fbr9uP24Pbe9tv21vbR9tL22vbn9vP2+fb19u/27fbz9v33BfcF9wD2+vb69v33APb99vT26fbi9uD24fbf9tn2z/bD9rf2qvae9pj2mfag9qP2n/aY9qD2y/ch94336PgP9/f3uPeB93z3t/gc+IX40Pjv+Or40vi0+Jf4fvht+Gr4efiX+Lv42vju+Pv5C/km+U35ePmh+cH52/nw+gP6EPoX+hv6Ivo3+mD6mvrZ+wz7J/sk+wv66frQ+sz63/sC+yP7Mvsp+w768frg+t763/rV+rn6kvps+lb6TvpL+kD6J/oG+eX5yvm2+ab5m/mZ+aH5rvm2+bD5nPmD+XD5Zvld+Uj5H/jo+K34d/hH+Bn36Pe495H3dvdi90n3Ivbu9rr2jvZt9k/2LPYD9dr1u/Wp9Z71j/V79WL1TfU/9TP1IfUG9OX0xPSo9I30b/RQ9Df0MfRG9Gz0k/Sn9J70evRE9Ajz0POi84XzePN2827zT/MR8rzyZ/In8gnyBPIG8gDx6/HO8bLxnfGN8YDxcvFn8WLxZfFt8XnxhPGO8Zbxm/Gc8ZrxmPGa8Z/xpfGr8a3xrfGq8aXxm/GN8Xzxb/Fr8XPxhPGa8bDxxPHZ8fDyCvIl8j/yVvJq8nzykfKr8svy7/MR8y7zRvNe833zqPPd9Bn0WfSb9N/1IvVb9X/1hfVx9VH1NvUx9Ub1b/Wj9dj2BvYv9lf2hPa89v73Q/eA9673yffW99/36vf19//4B/gQ+B/4Ofhb+IL4qPjN+O/5Dvkn+Tr5S/lj+Yj5t/nn+g76K/pH+nL6tvsR+3n74Pw+/JP85v08/Zj99f5R/qr/A/9f/78AJACHAOEBLwFxAbEB+gJQAq4DBQNHA28DiAOmA9gEJQSFBOoFSQWbBeIGIgZeBpsG3gcuB44H/wh9CP8JfQnvCk0KkgrBCuYLEAtNC6QMDAx4DNwNMA14DbYN6g4PDh8OGQ4FDe8N4Q3gDeoN+g4ODiYOSQ55DrkPBA9TD6AP6BApEGYQohDfERsRVhGMEbsR5xITEkUSfRK6EvkTNBNpE5sTzBQAFDUUaRSYFMEU5hUNFTkVaRWbFckV8hYaFkUWeRazFvEXLRdiF5IXvxfrGBQYNxhVGHIYkxjAGPcZMhlmGYwZpBmzGb4ZyRnRGdAZxxm4GacZmhmRGYoZgxl6GW4ZXBlAGRoY6xi5GIwYaxhXGFAYUBhWGF0YYhhhGFUYPxglGAwX+BfpF9kXxherF4wXbRdPFzYXHxcKFvMW2ha+FqAWghZkFkcWLBYTFf0V6hXYFcIVoxV6FUcVDhTTFJgUXxQpE/sT2RPEE7cTqxOdE40TgRN8E3sTdRNjE0cTKRMWExQTIRMyE0ETUBNjE4ETqBPOE+UT5hPSE7ETkBN2E2UTWxNTE0gTNhMeEwIS6RLaEtQS1RLSEscSsBKWEpcSjhKNEpASjxKKEoQShBKPEqISsxK6ErYSrxKvEr0S1BLnEuwS5RLcEuQTAxMzE2MTgROCE2kTQxMdEv8S7hLnEuIS1hK/EqISjRKTEr0TAxNKE3cTexNhE0MTORNGE1oTYBNKEyQS/xLsEuwS8RLvEuASyxK3EqkSmxKFEmISMxIEEdwRwxG4EbYRthGwEZ4RgBFaETQRFBD6EOUQzxC5EKQQkxCFEHgQaRBYEEgQPhA8ED0QORAkD/gPug94D0YPMw8+D1cPZA9MDwYOmg4gDa4NVA0WDO8M2AzMDMMMtgyfDHsMSQwPC9ALkwtdCzILEwr8CuMKvgqMClIKGQnpCcIJnQlzCUQJFQjtCNAIuAifCIEIXwg8CBsH/QfeB7sHkwdlBy8G8wazBnMGOQYGBdgFrAV9BUsFGQTlBK4EcwQ1A/cDvAOGA1MDHwLsArsCjgJjAjYCAQHFAYMBPgD3AKgAUf/z/5b/Q/8A/sz+of54/kr+Ff3W/ZH9Sf0C/MD8f/w8+/T7pftX+xD61vqn+n/6V/ov+gn56fnO+bX5mvl7+Vv5PPke+P/42viv+IP4Wvg6+CD4CPfw99b3vPel95D3fPdp91r3UPdG9zP3DfbS9oz2SvYZ9fz15/XK9Zz1YfUn9Pj01fS19I70XvQn8/TzyPOh83rzTfMc8uzyxPKl8o/yfvJv8mLyVPJG8jXyIfII8ezxz/Gz8ZjxffFg8T3xGPD18Nrwy/DB8LXwm/Bw8DvwBu/Z77jvnu+I73LvYe9W71DvSO867yTvCO7r7tHuuu6i7ojube5T7jjuGe307cztp+2O7YHtfe167XPtZu1R7TXtE+zu7M3suey27MDsz+zY7Njs0+zP7M/s0ezX7OjtC+1B7Xvtnu2a7XLtR+0/7W7twO4H7hLtyu1A7J3sB+uW60jrFOr26vDrBOsv62nrp+vo7DLsj+0B7YTuCu6H7uzvLO857w/ute5E7dztl+167XTtae1D7QHstuyB7HPsjuy97OvtCO0U7RvtJ+0/7WDtg+2n7c3t+O4m7k/uau5z7m7uae5t7oHuoO7E7uXu/u8M7w7vBO717uju5e7r7vbu/+8C7wXvDe8g7zrvVe9r74Dvnu/K8AbwSfCL8MrxBfFA8Xzxt/Hu8iXyXvKc8tvzFfNI83bzqPPj9Cb0bPSu9O71MPV29cD2CPZN9pD21vch92/3uPf5+Df4efjD+RH5WPmR+cL59vo4+oj62fsg+1z7mfvl/Ev8w/08/ab9/v5N/qD+/v9i/8AADwBLAHkApADTAQcBPAFrAZIBsAHKAeYCCAIyAmMCmQLTAxMDVwOdA+IEIARWBIcEtAThBQ4FPAVuBacF6QYyBn0GvwbzBxQHJgcvBzcHQQdSB2kHhQekB8EH2AfnB+4H8Qf0B/4IEggyCF0IkQjLCQQJOglqCZQJugneCgQKLQpeCpYK0wsHCyILGgruCqsKZQoqCf8J2wm1CYsJYwlJCT4JPQk/CUAJRwleCYgJuwnjCe0J0QmVCUgI+AivCHQITAg6CDoIQQhDCDQIGAf9B/MH/wgdCDwIUQhWCFIITAhMCE4ITghKCEUIRQhSCGsIiQikCLkIzQjuCSMJZwmnCcsJwgmPCT0I0ghBB24GRgTbA2cCQgGyAckCXQMfA8kEOQRzBJQErgTEBMwEvwSfBHgEVAQ2BBgD9gPOA6IDdANEAxIC4QKyAoICTgISAdABjwFXASkBAgDcALQAjwByAFwARgApAAb/6P/T/8P/qv96/zr++f7D/pH+Sf3e/Wj9JP1Q/fb+1f9//5v/HP5K/ZP9Qf1Y/aT95f4B/gX+EP4v/lb+bf5r/ln+SP5A/j3+N/4t/ij+Mv5I/l7+aP5l/l7+YP5u/n/+if6J/oj+jv6c/qv+tP62/rr+xv7a/u3+9/74/vf+/v8P/yP/Mv86/0H/TP9e/3P/hv+U/57/qf+0/73/wf/F/87/3f/zAAcAFgAfACcALwA3ADoAOAA0ADMAPABOAGQAeQCIAJEAlACRAIoAhACGAJUArADCAMwAxwC7ALEAsAC3AL0AvgC5ALQAswC0ALQAsQCrAKkArQC2AL0AvwC6ALIArQCsAKoApACXAIUAcQBdAEoANwAjABEAAf/y/+P/0f++/6v/mv+L/33/b/9h/1D/Pf8m/w3+8/7Z/sL+rP6U/nr+X/5D/iv+Ff4A/ev91f29/aX9jf10/Vz9Rf0v/Rn9Afzl/MX8pfyI/G/8WPxB/Cj8Dvv1+9z7wvum+4j7avtO+zP7Gfr9+t36uvqY+nj6Wvo7+h35/vnh+cX5qfmL+Wn5Rvkl+Qj47fjT+Lb4mPh7+GH4Sfgx+Br4Avfr99P3vPel9433dvdh9073PPcp9xX2/vbo9tP2wfaz9qv2qPam9qP2nfaX9pf2nvar9rn2wPbA9r/2w/bQ9t/26Pbo9t/21/bV9tr23/bd9tX2yvbC9r/2vPa39q72o/aZ9o/2g/Z19mz2afZu9nL2cPZt9nj2pvb992v3y/f99/r32ffE99r4H/h6+MX46Pjg+L74l/h3+GD4UPhH+Eb4U/hr+Ir4pvi9+ND45/kG+S35WfmB+aX5w/ne+ff6DPob+iX6MPpC+mD6jPq9+ur7CPsU+w/7A/r9+wj7J/tU+377lfuS+3n7XPtI+z/7OPsj+vr6xPqT+nb6bPpq+mD6SPol+gL55/nQ+bz5qfmd+aH5svnH+dH5x/mu+ZH5eflm+U75KPjw+K/4b/g2+AT31vet94v3c/df90f3I/bz9rz2ivZg9j72HvX+9d/1xfWy9aL1k/WE9Xb1avVf9U71MvUO9Or0zPS39KX0kfR69Gz0cPSG9KP0rvSW9Fv0DfPG85nzivOR857zpfOd83/zSvMC8rHyZvIv8hDyAvH58erx1fHA8a/xpfGd8ZLxg/F08WvxafFt8XXxffGE8Y3xlvGd8Z/xnvGb8ZjxmvGh8arxtfG88bvxsPGc8Yfxd/Fz8X3xkPGm8b3x0fHk8ffyC/Ig8jXyS/Ji8njyjfKk8r7y3PL88xzzO/Nc84HzrPPd9BD0P/Rs9Jn0xPTs9Qn1FvUV9RH1FfUp9VD1g/W79fD2HfZD9mT2iva59vP3NPdv95v3t/fH99P34Pfu9/v4BfgR+Cf4Rvhs+JL4tPjT+PL5EPko+Tr5S/lm+ZX52Pog+lz6hPqd+rf64Psd+2f7tPv9/Ef8mPz0/Vj9vf4d/nf+z/8q/4r/7wBUALEBAgFKAY8B2gIvAocC2AMUAzkDUgNxA6cD+QRfBMsFLQV9Bb8F+wY5BoAGzgccB2kHswgECGUI2AlUCcoKKApsCqAK3AsvC5oMEAx+DNwNKQ1uDa0N4Q39DfsN4Q2/DakNqQ27DdQN7Q4CDhkOOw5sDqsO9A9CD40P1RAZEFgQlBDOEQgRQRF2EaQRzhH3EiYSXhKeEuETHxNXE4oTvRP1FC8UZxSXFMAU5RULFTYVZhWVFcAV6BYRFj4WcxauFusXJhdcF44XvRfqGBMYNRhTGHAYkhi9GPIZLBliGY4ZrBm+GckZ0BnSGc8Zxxm8GbEZqBmhGZgZjhmBGXQZZRlPGTAZBRjRGJ0YbxhPGD0YNxg7GEMYShhLGEIYLxgXGAEX7xfiF9YXxRetF44XbBdLFy8XFxcAFukWzhayFpYWexZhFkcWKxYQFfkV5xXbFc4VtxWSFV0VGxTTFIoUQRP9E8MTmROAE3cTdxN6E4ATiBOSE5YTixNrEzoTBRLdEskSxBLEEr8SuhK+EtgTCRNHE4ATphOwE6ITiBNsE1gTTRNIE0MTORMnEw4S9BLfEtMSzxLNEsYSuBKmEq4SqBKnEqsSrxKyErQSuhLFEtYS5RLrEucS3xLdEucS+BMFEwYS/hL7Ew0TNhNrE5UTohOQE2oTRRMxEzITQhNTE1sTUBMzEw4S8xL1ExkTVBOLE6MTlhN0E1wTYBN9E5sTnhN7E0ETCRLmEtkS1RLOEr8SsBKlEp8SlBJ7ElMSIhH0EdERvRGzEbARrRGmEZcRgBFjEUYRLREZEQYQ7xDUELgQoRCPEIIQeBBvEGwQcxCDEJUQnBCIEFIP/g+dD0oPGQ8TDyoPQw9BDxUOvw5RDeENfQ0sDPEMygy1DKoMoAyPDHEMRgwTC9sLpAtwC0ILHAr8CtsKswp+CkEKBgnSCacJgAlUCSQI8wjICKQIhAhmCEcIKggNB/AHzgekB3QHQgcPBtsGowZoBi0F9gXHBZsFbwVABREE5wTCBJ4EcwQ9A/8DvQN+A0UDEQLhArUCjAJkAjoCCgHVAZ4BZgEqAOUAkQAx/9D/d/8w/vv+0f6r/oP+Vv4k/er9qv1l/Rz80vyI/D779Put+2v7L/r5+sf6mPpq+kD6Gvn3+db5tvmZ+X35YflE+SD49fjF+Jj4cvhX+EH4K/gR9+/3yvel94P3ZfdL9zT3HvcH9uf2uvZ/9j/2BfXa9b31pPWE9Vb1IPTs9MH0ofSD9GH0NvQH89rzsvOL82HzMfL+8s7ypvKI8m/yWPJA8ijyE/ID8fTx4/HO8bLxk/F18VvxRPEr8Qnw4PC28JfwivCM8JHwifBr8DvwBO/V77Tvm++F72zvVe9E7zzvN+8u7xvu/+7g7sTurO6X7n/uYe477g3t2O2f7WjtPO0g7RPtDO0E7PLs2Oy77KHsiux57GzsZ+xp7G7sbuxj7EvsLuwU7APr++v67ALsF+w77Gvsl+yw7LTsrOys7MDs4ez47Ovsr+xL69brZesD6rPqd+pU6lPqd+q26v/rQOt066Tr4uw77K/tM+207iLuc+6i7q7une537kjuG+347dnts+157Sjsy+x47ETsPOxb7I7sw+zt7QrtIO027U3tZu2C7aPty+337h7uOO4+7jfuLe4v7kLuZu6W7snu+u8i7zvvQO807x/vC+8A7wDvBe8M7xTvIO8z70vvZO9775Pvsu/a8AvwP/B18Kzw5/En8WjxpfHc8hDySfKJ8s7zDfNC82/znPPQ9A70UvSZ9OL1LvV89cj2D/ZQ9pD21/cl93b3wvgH+Ev4lPjm+Tj5f/m4+ej6Hvph+qz68vsp+1T7hfvP/Dj8t/07/bT+Hv5+/tz/Of+R/90AGgBLAHcApQDZAREBSQF6AaIBwAHaAfQCFAI9Am4CpgLjAyYDawOwA/EEKgRdBIwEugTqBRoFSQV5Ba8F8AY8BosG0AcCBx4HKgcwBzsHTgdqB4sHrQfLB+QH9Af7B/wH/ggICB4IQAhpCJUIwQjtCR0JUgmLCcMJ9goiCkUKYwqBCqUK0Qr9CxwLHgr6CrYKYwoWCdsJtAmaCYMJbwljCWQJcgmHCZ0JsQnFCdwJ7wn2CecJwAmHCUYJBAjICJMIbAhVCFAIWAhgCF8IVghNCE0IXAhzCIYIjQiHCHsIcAhpCGMIWQhOCEkIVQh2CKYI2Aj9CREJHQksCUoJcQmTCZgJcgkZCI8H1AblBcQEgwNOAmAB6wIBAoUDOAPcBEsEhQSiBLkE0gTjBOAExASYBGgEPQQYA/UD0QOrA4MDVQMgAuUCqwJ4Ak0CIwHxAbQBcgE2AQYA3gC5AJMAbgBPADMAF//0/9D/tv+t/6r/mP9n/xz+0f6b/nX+PP3W/U/85vzp/Xb+Vv8X/0z+1/39/TT82Pz3/Vn9sv3Y/df90/3l/gj+J/4x/ir+IP4e/h/+G/4O/gT+B/4Z/jD+O/43/iz+Kv41/kn+Wv5j/mX+af5z/n3+hP6H/oz+mf6t/sL+zf7P/s7+0/7h/vP/Af8K/xL/Hv8w/0b/Wf9n/3H/ev+D/4v/j/+T/5r/qP+5/8r/1//g/+j/8v/6//7//P/5//wACAAbAC8APgBIAE8AVQBYAFgAVQBUAFsAawB+AIkAigCCAHsAegCAAIYAhwCBAHoAdgB1AHYAdQBzAHQAeQCBAIkAjACJAIQAfwB7AHcAbQBeAEoANQAiABD//v/s/9j/xf+z/6P/k/+E/3T/Y/9T/0P/NP8m/xb/A/7s/tD+tf6b/oT+bv5W/jz+IP4F/e392f3F/bD9mv2B/Wb9S/0v/RT8/Pzn/NL8vPyi/IX8Z/xM/DP8GvwB++f7y/uy+5r7gvtp+077M/sY+v364vrF+qX6hfpn+kn6K/oL+er5y/mv+ZX5evlb+Tf5E/jx+NP4uPib+H34XvhC+Cn4FPf+9+b3zPey95r3gvdr91L3Ovck9xH2//bt9tr2xvaz9qP2lPaJ9oD2evZ29nH2a/Zl9mP2Z/Zx9nv2gvaF9on2lPan9rv2yPbJ9sP2vPa69r32vva49q32o/ae9p72n/aa9o/2gPZy9mT2VPZF9jz2O/ZB9kT2QvZA9lL2i/bw92r31PgP+Br4DvgQ+Df4fvjG+PH47/jJ+Jb4afhN+D74Nvgw+C34Mfg/+Fb4dPiW+Lr44PkG+Sv5Tvlt+Yr5pfnA+dz59/oQ+ij6PvpW+nL6kvqz+tL66/r9+wn7Evsg+zr7YPuQ+7372vvd+8r7rPuR+3/7bftO+x764fqq+ob6ePpy+mb6TPop+gn58/nk+dT5v/mr+aX5svnN+eX56fnV+bH5i/lq+Uv5JPjw+LD4bfgv9/z30veu94/3c/dY9zz3Gfbu9r72jfZg9jr2GfX69dz1wPWm9ZH1g/V99X31fPVz9V31PPUZ9P307PTj9Nj0yPS29K70uPTS9Of03/Ss9FPz7/Oi84DzivOs88zz1fPB85PzV/MV8tfyn/Jx8kvyLPIP8fbx4/HW8dLxz/HJ8bvxpfGO8XvxcfFt8WzxbfFx8XnxhfGQ8ZfxlvGQ8YrxifGP8Z7xrvG48bfxqPGP8XbxZvFl8XPxivGk8b7x1/Hv8gfyHvIy8kbyWvJw8oXymPKq8rzy0vLu8w/zMvNU83bzmPO789/0AvQm9Ez0c/Sa9Lz01/Tu9QX1IfVF9XH1ofXS9gL2LvZU9nX2k/a39uP3FvdI92/3ivec9673xPfb9/H4A/gX+DH4VPh7+J/4vPjV+O/5Cvkk+Tv5Vfl9+b36Efpo+q361vrm+vH7B/sv+2H7lvvL/AX8Tfyn/Q/9e/3j/kX+o/8A/1//vwAfAHsA0gEjAXIBwAINAlYClgLIAu0DEAM9A38D2QREBLEFEwVjBaQF4gYnBngGzgcdB1sHige8CAYIcQj2CXkJ5AovCmsKsQsSC4oMAwxqDLcM8w0rDWINjg2gDZMNcw1XDVMNag2SDboN2g3yDgwOMg5oDqgO7g82D30PxBAJEEkQgxC7EPERJxFcEYwRtxHhEg4SRRKFEscTBxNBE3cTrhPpFCQUWhSHFK0U0xT9FS0VXhWNFbYV3RYHFjkWcRauFukXIhdXF4sXvRfrGBIYNRhUGHQYmhjGGPoZMBlkGY8ZrxnEGc4Z0BnOGcgZwBm6GbYZtBmvGaMZkhl8GWcZUxlBGSkZCBjdGKwYfBhVGDkYKRgjGCUYKRgpGCMYFRgDF/QX7BfqF+oX4hfOF6wXgRdUFy0XDhb2FuIWzxa7FqYWkRZ7FmAWPhYZFfYV3RXRFc0VxhWwFYMVQBTsFI8UMxPeE5kTaBNME0ETPxNCE0oTWBNpE3YTcxNaEzATARLbEsMSshKfEoISYBJJEkwScBKtEvUTMxNdE28TbhNjE1YTSxNDEzwTMxMmExUTARLtEtsSzxLIEsQSvxK3EsISvBK5Er0SyBLWEuIS7RL5EwcTExMYExUTDxMOExcTJBMsEygTHRMaEysTUhN/E5wTnROGE2kTXhNuE5ETtxPME8YTpRN1E0gTLxM2E1sTixOuE68TkxNuE1sTZxOEE5UTfxNDEvUSthKXEpUSnxKkEp8SlxKREosSfhJkEj0SEhHsEdARvBGsEZ8RlhGREYwRhBF3EWYRVBFBESoRDxDvEM8QtRCiEJQQiRCCEIMQjxCkELkQwhCwEHwQKg/HD2oPKQ8ODxIPIw8nDwwOzw52Dg8Now0+DOcMpwyCDHUMcgxtDFsMOwwTC+ULtQuCC08LHwr1Cs4KowpxCjYJ+QnDCZMJaAk7CQoI2AioCHwIUwguCA4H9AffB8UHnwdqBysG7AaxBn0GSgYXBeUFuAWRBWoFPgUMBNoEsQSUBH4EYwQ6BAIDwgOCA0UDDgLbAq8ChgJhAjgCDAHaAagBdgFCAQcAvQBoAA7/uv90/z3/Dv7k/rn+jP5e/iz98/2y/Wr9HfzR/In8RfwG+8n7jftS+xr65/q3+on6XPou+gL53fm/+af5kfl1+VD5Ivjx+MP4nPh++GP4SPgl9/v3yveX92j3Pvca9vr23Pa89pj2bPY69gT10vWn9YX1ZfVB9Rf06PS69JL0cvRW9Dj0FfPv88jzoPN280jzFPLg8q7yhfJj8kjyLfIS8ffx3vHJ8bjxqPGT8XnxW/E/8SvxG/EH8ObwtPB78EzwN/A+8FPwYPBV8DDv/+/R77HvnO+J73LvWe9C7zXvLO8j7xDu8+7Q7rDule5/7mbuRu4a7eLtoe1c7Rzs6OzG7LTsqeyd7Inscuxc7E/sS+xL7EnsRew97DPsJewO6+zrxeuf64Prdutz63nrhOuX67Drzuvp6/rr/Ovw69nruuuT62LrKurs6qzqbOor6evptOmT6ZbpwuoN6mTqs+rw6yDrVuue6/3sZuzK7RztWu2O7b7t7e4Q7h7uFO327c/tpO1y7TDs1+xz7Bjr4evd7AfsTeyX7NTtAO0d7TLtQu1T7Wjthe2p7crt4u3q7eft5O3r7gLuKe5b7pPuzO8B7yrvP+867yPvBO7s7uHu5O7u7vzvD+8l7z/vW+9575nvvO/k8A/wOvBn8Jjw0vES8VPxkPHH8f3yOvJ/8sfzCPM782XzjfO98/r0QPSL9Nn1KPV49cX2C/ZO9pP23/cy94f31vge+Gb4svkE+VT5mfnS+gj6RPqK+tL7Dvs5+137jPvW/ED8v/1D/cD+NP6g/wf/ZP+z//IAJQBTAIIAtADqAR8BUwGDAa0BzgHqAgQCIgJIAnkCtAL1AzoDgAPCA/8ENQRmBJcEyQT8BS0FXAWNBcUGCAZVBqEG4QcOBycHNQdCB1YHcQeRB7IH0AfrCAIIEQgYCBwIIwg1CFQIfAimCMoI6gkKCTMJaQmpCewKKwpiCo8KsgrOCuQK+QsMCxgLEgrvCq4KWQoFCcMJnAmLCYQJggmFCZIJrAnRCfYKEgoiCiUKGgoECeMJugmNCV8JMAj+CM0IoQiCCHcIewiGCI4IkQiTCJoIqAi3CL0ItwinCJgIjwiKCIAIcAheCFsIdgixCQAJSAlzCXsJaQlPCTsJLQkYCOkIjwgABzoGPwUcA+8C4gInAeICGQKrA10D+QRdBI0EogS2BNAE6QTvBNoEsAR8BEsEHwP1A8oDogN8A1gDLgL5ArwCfgJKAiIB/QHPAZMBUgEVAOQAvQCZAHEASwApAAz/7v/J/6L/hv98/37/dP9L/wb+vP6E/lv+Iv2+/Tn80fzS/WD+R/8Q/0j+y/3b/PX8hPyf/Q79e/2x/bT9qf2x/c796/32/fH96v3s/fT99v3t/d/92/3o/f3+DP4M/gP9/v4H/hz+Mf49/kH+Qv5F/kv+T/5S/lb+YP5y/oX+kf6W/pn+oP6v/sP+1P7h/uz++f8K/xz/LP83/0D/Sv9U/1z/YP9g/2L/av93/4f/lf+i/6//u//F/8j/xv/D/8b/0//m//gAAwAJAA4AFgAfACUAJgAkACUALQA7AEgATQBLAEYARABGAEsATQBKAEMAPgA7ADsAPAA9AD8ARABMAFIAVgBVAFIATgBJAEIANwAmABD/+//n/9X/xf+0/6D/i/92/2T/U/9F/zf/Kf8Y/wj++P7o/tf+w/6r/o/+dP5c/kX+MP4Z/gD95v3M/bX9n/2I/XL9Wv1C/Sn9D/zz/Nf8vfym/I/8ePxe/EH8JfwK+/H72fvA+6b7jPt0+1/7Sfsy+xn6//rk+sj6q/qN+m76UPo1+hr5/fnd+bz5m/l9+WL5Rvko+Qb45PjD+KT4hvhl+EP4IvgF9+732/fG9673k/d49173R/cv9xf2/vbo9tT2wvaw9p32i/Z89nL2avZi9lv2U/ZM9kX2P/Y69jf2OPY+9kX2SvZO9lT2YfZ19ov2nPak9qX2pPak9qT2n/aS9oP2ePZ29nv2f/Z+9nX2ZvZV9kD2KvYX9g72EfYb9iD2HfYb9jT2e/bx93n36vgm+DH4Kvg0+GH4o/jc+PH43fiu+Hz4Vvg/+DP4Kfge+Bb4FPgd+Df4YPiV+M75Avkq+Uf5XPlv+YT5m/mz+cz55/oG+ij6Tfpy+pX6s/rM+uH68vsD+xT7Jfs5+1P7dfug+8v76vv0++b7xvuj+4X7bPtO+yP67fq4+pD6evps+lv6PPoX+ff55fnf+dv50Pm/+bP5ufnP+ev5+/ny+dL5pPlz+Ub5F/jj+Kf4afgv+AD32ve595j3dvdS9zD3Dfbp9sH2lfZp9kD2HfX99d71vPWZ9X71b/Vw9Xn1fvV49WP1SPUx9Sb1I/Uf9RP0//Tt9Ov1APUh9Tn1LvT19Jf0MPPf87jzvPPW8+3z7fPT86XzcvND8xry8vLJ8prya/JA8iDyDfII8gnyCfIC8e/x1PG28Zrxg/Fv8WDxVfFS8VfxZPFy8XvxffF58XXxdvF+8Y7xnvGn8aTxk/F78WTxWPFd8W7xhvGg8bnx0/Hx8hLyMvJO8mbyevKO8qHysPK88sfy1vLu8wzzLPNI817zcvOI86fz0PQB9Db0avSZ9MH04vUB9SX1TvV79ab1zvXy9hb2OfZb9nf2kPar9sv28/cc9z73V/ds94T3o/fH9+j4A/gc+Dj4Wvh++J/4ufjO+OX4//ka+Tj5XPmR+dz6N/qQ+tL69fsA+wT7E/sx+1f7ffuk+9H8D/xi/Mj9N/2p/hf+gf7l/0T/nf/zAEkAngD0AUcBlAHaAhgCTgKAArIC6QMqA3cD0QQ0BJcE9QVIBZMF2wYpBoAG2AckB1kHfgemB+oIVQjbCV4JxAoLCkYKkAr3C28L3QwuDF4MfwyhDMoM7Qz8DPQM5AzhDPsNLQ1nDZcNug3WDfgOJw5jDqYO6Q8sD3APtQ/4EDUQbBCeENERCBFAEXYRphHSEf8SMxJvErAS7xMqE2MTnhPbFBcUSxR1FJkUvxTtFSEVVhWEFasV0BX8FjEWbRarFuUXHBdRF4UXuRfoGBAYMxhVGHkYoxjSGQQZNhllGY4ZrRnCGcsZzBnIGcIZvhm8Gb4ZwBm9GbMZnhmCGWQZSRkzGR0ZAxjhGLkYjxhlGEEYJRgSGAgYBRgFGAEX9xfsF+UX5xf0GAMYBxf3F88XlxdbFyoXCRb4Fu8W5xbZFsYWrxaTFnEWRxYVFeQVwBWvFbEVuRW2FZgVWxUAFJYUKhPKE4ATUBM0EyQTGBMNEwcTCBMSExwTHhMREvgS3RLIErsSsBKcEnkSTBIiEgsSEhI0EmwSrBLoExgTOxNPE1UTUBNEEzQTJBMYEw4TAxL1EuMS0xLJEsYSxhLGEtESzRLMEtYS6RMCExkTLBM8E0oTUxNVE1ATSRNIE1ATXBNhE1cTQxMzEzQTSRNkE3cTeRN1E34TnxPXFBEUMhQpE/YTqRNaEyMTEhMoE1cTiROlE6IThRNjE1ATTxNQEzoS/hKmElASGxIUEjASVxJ0EoESgRJ8EnISXxJEEiQSBhHuEdsRxxGwEZkRihGEEYYRhxGDEXoRbBFaEUIRJBECEOMQyhC3EKkQnBCQEIkQjBCWEKIQpxCcEHwQRxADD7wPfw9VDz8PNQ8pDw4O3A6RDi8Nuw1ADM4MdwxHDDwMRAxNDEYMMAwQC+oLvwuNC1QLGgrmCrkKjwpgCigJ6wmxCYAJVQkuCQUI2wiuCH8ITggfB/YH2AfBB6gHgAdEBvsGrwZsBjEF/QXNBaIFgAVlBUoFJQT0BL8EkgRyBFwERQQjA/QDvQOFA00DFwLlArYCjQJpAkQCGgHpAbQBgQFOARkA3ACWAEn///+8/4H/S/8X/uL+r/59/k3+G/3k/ab9Yv0d/Nn8mvxd/CD74/um+237OfsK+tn6pfpu+jn6DPnq+dL5vPmh+X35U/kk+Pb4yfif+Hf4T/gk9/P3u/eA90X3D/bh9rj2kvZu9kn2JPX+9db1rPWC9Vr1M/UN9Ob0vfSV9HD0UfQ49CD0BvPm87/zkvNi8zDy/fLL8pryb/JJ8ijyDPHv8dLxtfGb8YXxcvFd8UXxK/EU8Qbw/vDw8NHwmfBR8BDv6+/s8AbwIfAo8BPv6+/C76Tvku+D72/vU+837yLvFe8L7v3u5e7F7qHufu5b7jjuEe3j7a7tcu0w7O/stuyL7G/sXuxT7EnsQOw87DzsPuw77C/sHOwJ6/3r+Ovy6+DrvuuS62vrV+tc63Trk+ut67/ryOvK68Trret96zHq0upv6hjp1Oml6YHpYek96Rfo9ujj6OnpDelN6Z3p8eo96oDqwesJ61jrpuvl7A7sJ+xE7HTsu+0G7T/tVe1O7T3tMe0r7Rjs5OyL7CDryeul677sBexa7Kbs2ez07P7tAOz/7QPtEO0m7T7tUu1e7WPtbO2B7aPtz+4B7jbube6l7tfu+O8B7vLu2O7A7rTutu7B7tHu4+757xXvN+9d74bvse/e8AvwN/Bj8JPwyvEF8UHxefGv8ejyKPJu8rXy8/Ml80/zfPO08/j0Q/SR9N71KvV29cD2CPZQ9pz27vdG95337vg6+IX40vkf+Wf5pvne+hj6Xfqr+vb7NPtj+437xPwS/Hf86f1f/dL+Rf62/yD/e//E//0ALQBeAJIAyAD6ASkBVgGCAa0B1AH0AhECLwJUAoUCwQMFA00DkwPUBA4EQwR3BKoE3wUSBUQFdAWoBeQGKAZwBrQG6wcVBzQHUQdvB48HrwfMB+QH+wgRCCcIOghICFEIXAhtCIcIqAjICOUJAQkkCVQJkgnZCiEKYwqhCtoLDAsvCz4LOQsmCwsK6Qq8Cn8KNgntCbQJlwmSCZsJqAm3CcwJ6QoOCjMKTApVCkwKNwobCfwJ3Qm/CaAJeglMCRgI5gjCCLIItAi+CMcIygjMCNII2wjgCNwIzwjACLsIwQjMCM0IwAitCKoIygkQCWkJtgnZCcsJlAlKCPgInwgzB6cG9AYbBSYEIQMjAk0BxQGpAf8CpwNqBBAEeASjBK0EtATGBNsE5ATTBKsEegRLBCID+QPKA5gDaANAAx0C9gLEAokCTgIdAfYB0QGiAWYBJQDrAL0AlwBxAEYAG//5/+D/yf+q/4P/X/9K/0P/Ov8e/uv+rf50/kH9/v2b/SX80/zp/YD+af8y/23+8/3+/Qf8ePx0/M39Nf1x/X/9ff2I/aT9v/3G/bz9sf2y/cD9y/3I/br9rv2w/b/9zv3U/dL90f3a/fD+B/4Y/h7+HP4b/hv+G/4c/h/+Jv40/kX+U/5d/mX+cP6A/pT+pv62/sP+0P7e/uz+9/8A/wj/E/8f/yn/K/8p/yf/Kv82/0f/Wv9s/3z/iv+S/5X/kf+N/47/mP+p/7v/x//O/9P/2v/k/+3/8P/w//D/9gACAA8AFwAXABEACwAIAAkACwALAAkABQADAAIAAgAEAAcADAASABcAGwAcABsAGAATAAv////u/9n/w/+u/5v/if94/2X/Uf87/yb/E/8C/vT+5v7X/sj+uP6o/pf+gv5q/lH+OP4g/gv99f3e/cb9r/2X/YD9Zv1M/TH9F/0A/Or81Py7/KD8hfxr/FH8NvwZ+/z73/vG+677l/t/+2b7Tvs3+yP7D/r6+uL6yfqv+pP6dvpX+jj6Gvn++eT5yPmq+Yn5aPlJ+Sv5Dvjw+ND4sPiS+HT4VPgy+A737PfP97j3pPeO93X3Wfc99yT3Dfb19t32xfav9p32i/Z49mT2UfZD9jz2OPY09i/2KPYi9hz2GPYT9hD2D/YS9hn2H/Yl9iv2NfZF9lj2a/Z59oL2iPaK9oj2fvZv9l/2VvZV9lj2WvZY9lL2SvY+9ir2EPX39er17/X89gT2AvYE9iX2e/cA95D3/Pgr+Cb4Ffgb+Eb4g/iz+L/4q/iG+GP4Sfg2+CP4D/f+9/P39vgK+DL4bfi2+P75N/la+Wr5cvl++ZL5q/nE+dv58foO+jP6XvqL+rX62Pr1+wz7H/sv+zz7R/tS+137cPuM+7D70fvg+9b7tPuI+1/7Qvss+xL67Pq/+pT6dvpj+lD6NfoR+e351PnM+c75z/nL+cP5wfnM+eH59fn6+eb5vPmE+Uf5C/jR+Jn4ZPgy+Aj34/fB9573ePdR9y33C/bq9sX2m/Zv9kf2JfYI9ev1yPWi9YH1b/Vw9Xv1g/V/9XH1YfVZ9Vr1WvVQ9Tf1G/UL9RT1NPVb9XD1YfUp9NP0dfQn8/jz6fPr8+/z5vPN86jzgfNd8z3zG/Ly8sDyjPJd8j3yLPIo8iryK/Im8hnyA/Hm8cTxn/F58VfxP/E08TXxQPFN8VXxV/FW8VbxW/Fm8XXxhPGO8Y/xiPF78W/xbPF18YbxmfGq8bjxyvHm8gzyNvJe8oDymvKw8sTy0/Ld8uby8fME8xzzM/NF81DzW/Nx85rz1fQe9Gj0qPTY9Pj1D/Un9Ur1ePWs9dv2AfYc9jP2R/Zc9m72fvaQ9qj2yvbv9xP3MfdO92/3mPfF9+/4D/go+D/4Wfh2+JT4rfjF+N74+fkX+Tf5XvmV+d36MfqB+rv62/rp+vP7B/sn+037cvuW+8D7+fxD/J/9Bv11/en+W/7I/yr/gf/QAB4AbgC/ARABWgGeAdoCFQJUApkC5QM1A4UD0wQiBHQEygUjBXwF1QYvBokG4AcqB2EHige4CAAIaQjjCVYJrQnpCiIKbwrWC0QLnQvOC94L5Av1DBQMNgxNDFgMYwyADLYM+g08DW8NlA22DeAOFw5YDpsO3A8cD14PoQ/iEBsQTBB6EKwQ5BEiEV8RlhHFEfMSJRJfEp0S2xMWE1ATjRPNFAsUQRRtFJEUuBTnFR0VUxWBFacVyxX2FiwWaRamFt8XExdFF3oXrhfeGAgYLhhSGHkYphjWGQgZOBllGYsZpxm4Gb8ZwBm9GbsZuhm8Gb8ZxBnGGcAZsBmWGXcZVxk5GR0ZAhjlGMYYpBh/GFcYMBgOF/cX6hfmF+IX2hfQF8wX0xfnF/4YCRf6F84XjxdQFyEXChcGFwkXAxbvFs4WqBaBFloWLhX6FcUVmBV9FXkVgRWFFXMVQRTuFIgUHhPDE4ETVxM/EywTFxL+EucS2BLTEtISzxLDErISohKaEpoSnBKWEoISYBI4EhMR/BH7EhISPRJ2ErUS8hMkE0YTUhNLEzYTHRMJEvwS9RLrEtwSzRLEEsQSyxLREtES1hLfEvETDxMxE1MTcBOLE6ETrhOvE6UTmBOSE5cToROgE4wTaBNDEywTKRM0E0UTWxN/E7kUCBRYFIsUhhRBE80TShLaEpUShxKmEuETHxNME10TVRNAEycTChLfEpsSQBHgEZcRfBGTEcoSCRI7ElkSZhJlEloSRBIpEhAR/RHxEeYR1hG/EagRlxGOEYsRiBGCEXoRcRFkEVARMhEPEO0Q0xDBELIQoxCUEIgQgxCEEIcQiBCDEHkQZxBLECUP9w/GD5gPbQ9EDxgO4A6WDjQNuQ0wDK8MTQwdDBoMLwxBDEEMLQwQC+8LygucC2ELIQrlCrIKhApSChgJ2QmfCXAJTgkzCRoI/QjZCK0Idgg7CAMH1QeyB5EHYgcgBs4GeQYrBegFrQV6BVIFOAUqBSAFDQTsBMAElQRyBFUEOQQVA+sDvQOPA2QDNwMJAtwCswKNAmYCOQIDAcgBjgFXASMA6wCtAGoAJv/l/6f/bP8x/vb+vP6G/lT+Jv35/cr9lv1c/R/84Pyi/GT8J/vt+7j7h/tX+yT66/qu+nH6PPoT+fP51Pm0+Y/5Z/k8+Q342fii+Gz4OfgJ99n3ovdl9yb26faz9oP2VvYt9gf15vXI9ar1iPVi9Tj1DvTo9MP0oPR99F30QvQt9Br0BPPk87jzg/NM8xjy6fK+8pPyafJA8hrx+fHa8brxmvF98WPxTvE48SDxBfDv8OHw3PDV8Lzwh/A77+3vte+j77Lvzu/f79rvw++m74/vgO9y713vQO8h7wfu+O7y7u/u5O7M7qbudu4/7gft0+2j7XTtRO0O7NTsm+xp7EXsLuwl7CTsKeww7DXsMewk7A/r/Ov57AvsLuxP7FjsPOwD68Prneui69DsEOxF7FzsUuwv6/nrsOtL6srqNuml6S3o2eik6IHoaOhS6EXoQehI6Fjoc+ie6N3pL+mJ6eLqNeqD6s7rEOs/61PrU+tS62jrnevl7CnsVexr7H/soezP7PLs6eys7Ezr8uvE69DsCuxT7JLsuOzH7MbsvOyx7Krsqeyw7LzsxezJ7M3s2uz17R/tUO2C7bLt5e4b7lLufe6U7pbujO6B7oDuiO6U7qLuse7G7uTvC+8572nvmu/K7/vwKvBa8IrwvfDw8STxWPGP8cnyCvJN8o3yxvL58yzzZ/Ou8//0UvSi9O71NvV+9cf2EPZc9qz3AfdZ97D4BPhU+KT48/k8+Xr5rvnf+hr6Zfq8+xP7Xvud+9j8G/xq/MX9JP2G/e3+W/7M/zj/kv/WAAwAPABuAKMA1QECASkBTwF4AaQBzwH2AhkCOwJjApUC0gMXA2EDqAPoBCEEVgSLBMAE9gUpBVoFjQXFBgYGSgaMBscG+gcpB1gHiAe4B+AH/ggSCCEIMAhCCFcIawh5CIMIiQiRCJ4IsQjJCOYJDQlACYMJzwobCmIKogrhCyALWQt/C4MLYQslCt8KnwpnCjEJ/AnLCakJngmqCcQJ4An7ChMKLApFCloKZQpmCl4KUQpDCjMKIQoMCfAJzQmgCWwJPAkXCQYJBAkICQoJBQj9CPkI+Qj5CPMI6gjmCPIJDQkvCUcJSwlCCT8JVgmICcQJ7AnnCawJRwjHCDMHhga2BcAEsQOiAq4B7gFxAUEBZwHdAo8DVAQABHQEqgS5BLwExQTSBNQEwASXBGYEOgQYA/gD0QOeA2YDMgMHAuACtwKDAkoCFAHpAcUBnwFvATUA+ADDAJgAcwBJABj/6P/C/6v/nP+I/2j/Qv8j/xD/A/7x/s/+nv5m/in93/2A/R383/z3/Xn+Qf73/z/+7/4q/Uv8r/x//Kb87P0j/T39Tf1m/Yb9n/2h/Y/9e/13/Yb9mv2j/Zv9jP2D/Yb9j/2X/Zv9nv2q/cD92/3w/fv9+/32/fH97f3q/ez98/4A/hH+Iv4v/jr+Rf5U/mT+dP6D/pD+nv6s/rj+wv7J/tH+2/7m/u/+8v7w/u7+8f78/w7/Iv80/0P/Tv9V/1n/V/9V/1X/Xf9s/33/jf+X/57/pP+q/6//s/+1/7j/wP/M/9n/4v/j/97/1f/N/8n/yv/M/83/zP/L/8r/yv/L/83/0f/W/9v/3//h/9//2//U/8v/v/+w/57/iv91/2H/Tv88/yr/Fv8A/ur+1f7B/q/+n/6Q/oH+c/5k/lP+P/4q/hP9/P3n/dH9u/2k/Y39eP1j/Uv9MP0S/PT82PzB/Kz8lvx+/GT8Sfwt/BH79PvV+7f7nPuE+2/7WvtC+yj7D/r4+uT60fq++qr6k/p7+mD6RPol+gX55vnJ+a75k/l2+Vj5OPkY+Pj42fi5+Jn4evhb+D/4IfgC9+L3wvel94z3dPdb9z/3I/cH9u721va+9qb2kPZ89mz2XPZK9jX2IPYP9gb2AfX+9fr19fXx9e/17fXr9ef15vXo9e/1+PYA9gj2EfYd9i32PvZO9lr2YvZl9mD2V/ZL9kH2PPY79jj2MfYp9iX2JvYm9hv2AvXl9dL10fXe9en17PX49if2jvcg97D4Dfgh+AL33vfd+AX4P/hp+HP4ZfhQ+ED4M/gi+Ar37/fd99z37vgT+En4kvjk+TL5a/mH+Y75j/mZ+bH50Pns+gP6F/ov+k/6dfqe+sb67vsT+zT7Tvth+2z7cftx+3D7dPuC+5z7uvvO+8n7qPt0+0H7HvsM+v/65vq/+pH6avpT+kj6Pvoo+gf55fnO+cf5yvnP+c/5yvnJ+c/53fnp+eT5xvmP+Ur5A/jD+I34YPg1+Av34/e995n3d/dW9zX3E/bv9sb2mfZs9kT2J/YS9fz13/W79Zv1h/WE9Yz1k/WS9Yr1gvV/9X71c/VX9TL1FPUO9SP1R/Vi9WD1PPT99LP0b/Q49BPz/PPv8+Pz0fO085DzaPNA8xny8fLF8pfyafJD8inyG/IY8hzyIvIn8ijyIfIM8erxvPGJ8VrxOfEp8SjxL/E28TfxNPEx8TLxOfFF8VTxZfF28Yfxk/Gb8aDxpvGx8b3xyPHM8czx0fHj8gXyMfJg8onyq/LH8uDy9fMF8xLzH/Mu8z/zTfNV81zza/ON88j0F/Rt9Lz0+PUd9TD1OvVJ9Wf1lvXN9gL2K/ZD9lD2WPZe9mT2afZy9oP2n/bF9u73F/dB9273n/fT9//4IPg1+Eb4WPhv+Ir4pvjE+OP5BPkl+Ub5afmV+c36DvpN+n/6ovq7+tT69Pse+0v7ePul+9X8DfxM/Jb86v1J/bT+Jv6V/vz/WP+q//gARQCTAOABKgFyAbgB/gJIApcC6gM7A4QDxQQCBEYEmAT4BV8FxgYpBocG3QcqB2sHogfdCCgIhgjrCUMJhQm3CfAKQAqjCwMLRAtcC1kLVAtiC4ULsAvVC/QMGAxLDI4M1Q0VDUYNbw2ZDcwOBw5FDoIOvg77DzsPfg+9D/YQJxBWEIkQwxEEEUYRgRG2EecSGhJTEpASzRMHE0ATfBO8E/0UNxRnFI4UtRTjFRkVUBWBFaoV0BX6Fi4WahalFtwXDhc/F3AXoxfUF/8YJxhOGHcYpRjWGQkZOhlmGYkZnxmpGasZqRmoGakZrRmxGbYZvBnBGcEZuhmoGY0ZbRlKGScZBxjrGNMYvBihGH4YVBgoGAMX6hfcF9EXxRe4F68XshfBF9QX3BfLF6AXZxczFxMXCxcRFxQXBhbiFq4WeRZMFicWBRXdFa0VfBVUFTwVMhUrFRkU8RSyFGQUFBPRE6MTiBN3E2UTTBMqEwgS7BLZEswSvhKtEpoSiRJ+EnsSfBJ+EnsScBJaEjsSGxIDEf0SDRIzEmkSqRLqEyMTShNXE0sTLxMPEvUS4hLSEsIStBKtErASvBLJErkSzBLjEwETJhNNE3UTnhPIE+8UChQRFAcT9hPtE+4T8BPkE8ETixNTEyoTGhMhEz4TcBO6FBcUdRS1FLgUbxPjEzUSixIGEbgRoRG5Ee4SMhJ1EqoSzBLVEsMSlBJMEfERkxFFERwRHxFJEYkRyxICEioSQhJLEkYSNRIcEgUR9RHtEecR3hHSEcQRuBGtEaARkBGAEXURcRFtEWARRBEcEPMQ0hC8EK0QoRCZEJUQlxCdEKAQnRCUEIoQfhBvEFYQLw/9D8IPhA9EDwQOwA5xDg4NlA0MDI0MMwwNDBYMNQxMDEsMNQwXC/sL4Au7C4YLRgsFCssKlApbCh0J3QmoCYEJaAlWCUQJLAkOCOUIsAhvCCoH6geyB3wHOwbpBosGLQXZBZMFWAUlBP4E6ATiBOUE5QTZBMMEqQSPBHUEVwQxBAYD2wO0A5IDcQNMAyQC+gLOApwCYgIhAd0BmwFdASIA5gCmAGQAIP/f/6H/Zf8r/vP+u/6F/lP+Jv39/db9q/14/Tz8/Py7/H78R/wV++f7uvuL+1b7G/rb+pz6ZPoz+gf53Pmx+YX5Wfkr+Pn4v/iA+ET4D/fh97b3hPdM9w720vaa9mj2OPYJ9d71uPWa9X/1YvVA9Rr08/TO9K30j/Rx9FX0PPQp9Bbz//Pc86vzcfM28wHy1fKw8ozyZvI88hPx7PHJ8ajxifFu8VfxQ/Es8Q/w7fDO8LrwtPCy8KTwe/A27+TvnO9w72bvc++G75HvkO+G73vvcO9i70zvL+8O7vPu4+7h7uXu5O7S7qrub+4p7ePtpu107UrtIez07MLsjexc7DPsGOwL7AzsF+wk7C/sM+w17DvsUOx87L7tB+0+7UntHuzF7GHsGuwM7DnshOzG7N7swux77BfrnesK6mDpquj/6HfoGufe57Pnkud853vnkOex59Pn8ugX6FLoqOkQ6Xjp0+og6mfqrero6wzrE+sI6wDrEOs562zrnOvG6/TsMOx07KjstOyO7EjsBevk6+/sGexM7HXsjuyc7KPsp+yo7Kjsqeyq7Kjsn+yP7H/seuyI7Kjs0Oz57SLtTu2A7bft6O4L7h3uJe4t7jzuT+5j7nTuhe6d7sDu7e8g71Pvg++y7+LwEvBD8HHwnvDK8PnxLvFo8afx6PIm8l/yk/LI8wTzTfOh8/v0U/Sm9PT1PvWH9dH2HfZr9rv3D/dl97r4EPhn+L75Evla+ZL5vPnl+hv6ZvrD+yX7gfvT/B78aPy1/QX9WP2v/hD+fP7t/1f/rv/wACMAUAB9AKwA2AEAASQBSQFxAZwByQH0Ah0CSAJ2AqwC6wMxA3sDwgQBBDkEbAShBNcFDQVABXMFqgXoBiwGbwatBuQHGQdUB5YH1wgNCDIIRQhPCFgIZQh0CIQIkQiaCJ4IoAihCKYIswjLCPAJJAlnCbUKCApZCqIK5QsmC2ULmAuvC5oLWQr9Cp0KTQoTCeoJygmzCaoJtAnQCfcKHwpCCl8Kcwp+CoAKegpzCnAKcgp1CnEKYwpNCjEKEQnuCccJngl7CWIJVQlNCUUJOAkpCR4JGQkaCR0JIwkwCUwJdwmnCdEJ5wnsCegJ5gnlCdkJrQlRCMUIFQdQBnkFigR7A1MCMAE6AJkAYQCPAQ0BwAKIA0gD5wRUBI8EpwSyBL4EygTLBLUEiQRUBCYEBgPtA84DowNsAzQDAwLZAq4CfQJFAgwB2gGzAZEBawE+AQkA1AClAH0AVgAo//P/vv+R/3T/Y/9T/z3/IP8D/uz+3f7O/rX+jf5W/hX9yv14/Sf86/zi/R/9mf4j/oD+g/4l/ZD9Avyq/JX8sPzc/QX9Kf1N/W79gv2A/Wf9Sf06/UP9W/1z/Xv9dP1o/WD9Yf1m/Wv9cf1+/ZP9r/3I/df92v3T/cn9wP27/bz9xf3U/eb9+P4G/hD+Gv4l/jL+QP5O/lv+af53/oT+jv6V/pv+ov6q/rL+t/65/rv+wP7L/tv+6/74/wL/Cv8R/xf/HP8f/yL/KP8z/0P/VP9i/2v/b/9w/3H/c/94/37/h/+R/5z/pP+o/6f/ov+b/5b/lP+V/5f/mP+X/5X/k/+S/5P/lf+Z/53/oP+h/5//mf+P/4T/d/9p/1v/S/86/yj/Fv8D/vD+3P7H/rH+m/6G/nH+Xf5L/jv+K/4c/gv9+P3k/dD9vf2p/ZX9f/1o/VL9Pf0p/RL8+Pzb/L38ovyJ/HL8Wfw//CP8CPvs+9D7svuT+3b7XftH+zT7H/sG+uz60vq7+qf6l/qG+nP6XvpG+iv6D/nx+dP5tvma+YD5ZflK+Sv5C/jq+Mn4qfiI+Gf4R/gn+Ar38PfW97v3nveC92X3Sfct9w/28vbX9r32pPaM9nT2XfZL9j32L/Yg9gv19vXj9db1zvXI9cL1vPW59bn1u/W79bn1t/W49b71yPXS9dz15/X09gT2FvYl9jD2NvY29jL2KvYi9h/2IPYg9hn2CvX79fb1/fYH9gX18PXQ9bf1sfW89cj10/Xs9i72qPdE99H4G/gU99v3p/ei9834CPgw+Dj4Lvgk+CP4JPga+AT37/fq9/z4IfhR+Ir4zvkb+WX5nfm5+b75vfnF+dr59/oU+iv6QfpY+nP6kPqu+s/69Psc+0P7Yvt3+4b7kfuZ+5/7pPus+7372Pvx+/b73Pum+2f7NPsX+wj69vrR+p36afpG+jr6Pfo++jH6FPn0+d/52vng+eX54fnW+cv5yfnO+c35uvmL+Uf4/Pi5+IT4Wfgx+AX31/eu9433c/db9z/3HPbx9sH2j/Zi9j/2J/YX9gf18fXT9bb1ovWc9aD1pPWj9Z31lvWN9X71YvU59RH0+/UC9R31NfUy9Qn0x/SB9Ev0LPQc9BD0APPr88/zrfOF81XzIvLu8rzyjPJf8jXyEfH28eXx3vHg8erx+/IQ8iLyKPId8f3xzvGY8WfxRfE18TPxNvE28TDxJfEe8R3xJPEx8UHxVvFw8ZDxsfHM8d/x6/H08fzyAfH/8fjx9PH88hXyOvJk8oryrPLK8ufzBPMf8zbzS/Nd82zzdPN484DzmfPM9Bb0bPS99Pz1J/VB9VL1YPV09ZH1ufXo9hb2OvZQ9lr2XfZe9l72X/Zi9mv2gPai9s/3APc092r3n/fS9/v4Gfgu+D74UPho+IT4pPjI+O75F/k9+V35evmY+bv55PoR+j36ZPqK+rP64fsT+0n7f/u1++v8IPxV/I38zf0d/X395/5W/sD/I/9//9QAJABxAL8BEAFkAbgCBgJPApUC2wMhA2QDoQPeBCQEegThBVAFvAYfBnoG0AciB24HtAf5CEEIjwjbCRoJSgl2Ca4J/ApYCqsK3grvCu0K8gsMCzoLbwugC80L/gw3DHcMtQzsDRwNTA2ADbkN9A4rDl8Okw7LDwgPSQ+KD8cQARA4EG8QqRDpESsRaxGmEdsSEBJIEoMSwRL8EzUTbhOqE+YUIBRRFHwUphTVFQwVRxV+Fa0V2BYEFjcWcBaqFuEXExdDF3IXohfQF/sYIxhLGHYYpBjWGQoZPBloGYYZlRmXGZEZjBmLGZEZmRmhGagZrhmzGbUZsBmkGY4ZchlQGSsZCBjsGNgYzBi+GKcYhBhXGCkYBRfpF9QXwBesF5wXlheaF6AXnReJF2UXPBcaFwoXChcPFwkW7xbCFooWVRYsFg4V8xXTFaoVehVNFSYVBxTtFNAUqxR+FEwUHhP9E+sT5hPjE9cTuxOQE18TMBMLEvAS3BLKErgSpBKOEngSZhJdEl4SYxJkElsSRxIxEiISHxIqEkQSbRKmEukTJxNSE1wTSBMiEvoS1xK8EqQSkhKIEokSlRKnEpMSsxLYEwETKhNRE3kTqBPfFBYUQRRWFFcUUBRMFEwURRQoE/ITrhNwE0oTQRNUE4ETxhQdFHcUtRS1FGYTyxMFEjsRkREYEM8QrRCnELsQ6BErEXwRyhICEhQR+xG/EXMRLhEDEPsREhE/EXMRpRHREfYSFBIoEjASKhIbEgkR+hHxEesR5xHlEeIR3hHTEb8RpBGLEXwRehF6EXERVxEsEP0Q1BC4EKgQoxCnELUQyRDaEN8Q0xC3EJEQaBA+EBQP5g+zD3wPQA7/DrkObw4eDcENUwzdDHIMKwwWDC0MUwxrDGcMTAwsDBMMAAvmC7wLhAtECwYKyQqLCk0KFAnoCcwJtwmiCYgJaglLCSoI/gjECHwILQfcB4kHLQbFBlkF9QWlBWkFOwUSBO0E0gTFBMIEwwTBBLsEsgSrBKEEkARyBEwEIwP9A90DwQOkA4IDWQMmAuYCmwJLAfwBsAFpASIA2QCRAEkABf/F/4b/S/8T/uD+sf6D/lT+J/38/dH9o/1r/Sr85fyi/Gn8OfwQ++n7wPuS+1/7Jvrq+rD6efpF+hL53vmp+XT5QfkN+NX4mPha+CD37/fG9573cPc79wL2y/aa9mv2PPYJ9db1p/WB9WH1RPUm9Qb05PTE9Kb0ivRv9FX0O/Qk9Azz8PPM85zzZPMq8vTyx/Kh8n7yWfIy8gjx3/G58ZjxffFo8VfxR/Ev8Qzw4/C78KDwlvCW8JHwePBC7/fvqe9p70PvOe9C71PvYu9p72jvYO9S7z3vIu8E7uju1u7O7s3uyO607onuTO4G7cbtke1n7UDtGOzr7LvsjOxh7DzsH+wP7A7sHuw67F7siey/7QXtXO287hbuVu5p7kPt5O1c7MzsW+wl7C7sYeyS7J7sdewc66TrF+p26cHpBehZ59TneudB5xTm7ObR5tHm8ecm51zniue75//oX+jO6Tbph+nD6f/qSOqa6uDrBesF6vDq4Ork6v7rJutS64Truuvt7BDsFuwA697rxuvG69vr+uwV7CzsRexk7Ivss+zU7Ozs+u0A7Pvs5+zE7J3sfuxx7HfsiOyd7Lbs1+0D7TjtbO2V7bDtw+3W7fDuDe4p7kPuXe597qfu2u8O7z/vbO+Y78bv9vAl8FHwevCj8NLxCvFL8ZDx1PIR8kfyefKu8u3zOfOO8+b0PvSS9OP1MvWA9c72HfZt9r/3Evdn97z4Fvhz+NP5Lfl6+bL52vn/+jD6d/rU+zv7ofv+/FH8nvzp/TX9hf3d/j/+qf8S/3P/wwABADIAXACCAKkA0AD5ASQBTwF5AaEByQHyAiACUgKJAsUDBgNNA5cD3QQbBFIEhgS8BPUFLQVjBZkF1QYXBlsGmgbPBwEHOgeCB9MIHghTCG0Idgh8CIgImQioCLAIsQiwCLEItAi5CMII0gjvCRoJUgmVCeEKMgqFCtkLKQtyC6wLygvAC4gLKwq+CloKEQnkCc0JwgnACcoJ4goGCjIKXQqECqQKtwq7Cq8KnQqQCpEKngqqCqkKlgp5Cl0KSAo4CiMKAwnaCbEJkAl7CW4JZAlaCVMJUglZCWoJhAmlCc4J+wooCkwKYApdCkMKEQnCCU4IrgfgBuoF3wTRA8gCxgHLAOAAIP+s/6AAAQC4AZ4ChQNOA+MEQwR1BIwEmASlBLMEtwSnBH8ESQQXA/ED1gO7A5QDYgMsAvwC1AKtAn8CRwIMAdUBpwGBAV0BNwEOAOIAtwCMAGEANAAF/9L/nv9t/0T/Jf8R/wH+8f7f/s3+vf6t/pf+c/4+/f39uv13/TX88vy4/J38u/0V/ZH99/4U/df9W/zY/IT8dPyZ/NT9Cv0y/U39W/1Y/UH9Hv0B/Pr9Dv0w/U39WP1S/Ub9P/0//UX9T/1c/XD9iP2g/bH9tP2t/aD9lP2P/ZL9nf2s/b79zf3Y/d/95/3x/f/+D/4e/iv+Nv5B/kv+U/5b/mD+Z/5u/nb+fv6F/oz+lP6e/qv+t/7C/sn+z/7V/tz+5f7s/vP++P8A/wv/Gf8n/zH/Nf82/zb/Of9B/0r/Uf9W/1r/Xv9k/2n/a/9r/2n/Z/9m/2f/Z/9l/2H/XP9Y/1X/Vf9X/1n/Wv9a/1f/UP9G/zr/LP8e/xH/Bf75/u3+3v7N/rj+o/6N/nj+ZP5Q/jv+Jf4Q/f397P3a/cj9tP2g/Y39e/1p/VX9QP0p/RP8/vzp/NL8ufyg/Ib8bvxW/Dz8IPwC++X7yvuv+5P7dftX+zv7IvsM+vf64vrJ+rD6mPqC+nD6YPpQ+j76KPoO+fH50/m3+Z35hPlt+VT5O/ke+P/43/i9+J34ffhe+D74Hff999/3xfet95T3ePda9zv3HfcA9uT2yPas9pL2efZg9kf2L/Yc9g32APXy9eH1zfW79a31ovWa9ZH1iPWC9YD1gvWE9YT1hPWF9Yn1j/WY9aL1sfXE9dn17fX89gb2C/YL9gb1/vX39fb1+fX99fj16vXa9dL12PXj9eT10fWw9ZT1i/WU9aL1tPXY9ij2r/dT99z4GPf+97f3gfeD97j3+fgg+Cb4G/gY+CP4MPgx+Cf4Ivgz+Fz4kPjD+PD5H/lZ+Zf5zPns+ff59vn3+gH6Evon+j36Vvpy+o36pfq7+tX6+Psg+0b7ZPt6+5D7rfvP++78AvwN/Bn8MPxP/GT8Wfwm+9f7iPtQ+zP7JPsM+t36nvph+jr6Lvo0+jv6Nfoj+g76A/oE+gn6B/n4+d/5yfm7+bL5oPl6+T749/iy+Hr4TPgh9/L3w/ea9333avdZ90D3Gvbq9rf2ifZj9kf2M/Yk9hT1//Xk9cn1s/Wo9aX1pPWi9Zv1kPV/9WX1QPUY9Pr08fT99Q71C/Tj9Jv0SfQK8+7z8fP+9ALz8vPP85/zaPMv8vXyvfKH8lXyJvH78dTxtvGh8Zfxl/Gh8bbx1fH58hjyJ/Ih8gTx2PGn8XvxXPFN8UrxSvFH8T3xL/El8SPxKvE48UrxYfF/8aPxy/Hs8gTyEfIZ8iDyJfIn8ibyJfIs8j7yWPJ18o/ypvK/8t3zAPMl80vzbvOM86HzqfOr87Pz0fQM9Fv0q/Tq9RL1LfVF9WT1iPWq9cj14fX69hT2LPY99kf2TPZS9ln2X/Zl9mz2e/aV9rz27Pci91f3iPey99P37PgA+Bb4MPhP+HH4lfi9+Of5E/k8+V35dfmH+Zr5svnT+fn6JfpV+on6wPr5+zP7bfum+9v8C/w5/Gr8p/z2/VX9vf4o/pD+8/9Q/6f/9wBFAJgA9QFaAb4CEwJUAocCuALwAzMDfAPLBCIEhATxBV4FxAYdBnAGwgcVB2cHsgf1CDMIcAiqCNsJBQkvCWUJrgoBCkwKfwqaCqoKwQrpCx4LVQuIC7kL7QwkDFwMkQzBDPENJg1iDZ4N2A4ODkEOdQ6qDuEPGw9ZD5wP4RAiEF4QlxDSERMRVxGZEdMSBhI4EnASrxLvEy0TZROZE8sT/BQtFFwUjRTDFP8VPBV2FakV2BYIFjwWdRavFuYXGhdLF3kXphfRF/kYIRhJGHQYpBjXGQsZPRlkGX0ZhhmBGXYZbxlvGXcZghmOGZcZnRmgGZ0ZlRmHGXYZYBlGGScZBRjmGNEYxhi+GLIYmRh0GEkYIBf+F+AXxBepF5MXhBd8F3QXaBdTFzoXIhcTFw8XDhcLFvwW4Ra9FpUWcBZNFioWBRXcFbIVjRVuFVEVNBURFOcUuhSOFGgUTxRFFEwUXRRpFGMUQRQGE7sTbxMuEv8S4xLVEswSvxKlEoESWxJBEjkSQRJOElYSUxJJEj0SMhIpEiQSKxJLEoUSzhMOEzETLxMTEuwSyBKrEpMSfRJsEmUSahJ6EnQSmhLJEvoTJxNOE3QToRPZFBUUSRRtFIIUkBScFJ8UjBRdFBcT0BOfE48TnRPCE/cUPBSFFLoUuhRpE8MS5RIAET8QuhBqEDkQEA/nD8UPvA/bECMQhhDoES4RSRE8ERoQ+RDsEPgRFxE+EWMRgxGeEbgR1BHwEgcSFxIdEhoSEhIIEgER/RH8Ef0R/BHzEeARxRGqEZURihGDEXYRXBE1EQgQ3hDAELEQsBC8ENMQ7BD9EPoQ3hCpEGQQFQ/HD38PQg8QDuUOuQ6GDkkOAw24DWgNEgy7DHEMRgxDDGMMjAykDJwMfAxVDDcMIgwOC+8LxAuQC1gLHArfCqQKcQpNCjQKHAn/CdwJvgmoCZcJfQlLCP8Inwg3B8sHWwbpBnsGHwXfBbYFmgV7BVUFLAUIBOwE2ATHBLoEtQS5BMIExwTCBK4EjwRrBEkEKgQNA+4DxQOLAz8C5gKIAi0B1wGEAS4A2ACFADr/9/+3/3f/Nv76/sb+m/51/k3+IP3v/br9gf1B/Pv8tPxy/Dv8Dvvn+8L7mvtw+0P7FPrj+rH6fvpL+hb54Pmp+XL5OvkC+Mj4jfhU+CH39ffN96T3dPdA9wz23Pax9of2WvYm9e71t/WG9V31O/Ue9QL05fTI9Kv0kPR29Fv0PvQe8/7z3PO585HzYvMt8vbywfKU8m7yS/In8gHx2vGz8ZHxdvFj8VTxRfEv8Q/w6fDC8KXwlfCO8Ibwc/BN8BXv0++S713vPe8z7zfvQu9J70jvQO8z7yLvDu737tzuxO6y7qXulO537knuD+3V7afthe1o7UbtGuzo7Lrslex37F7sSew/7Ejsauyk7PDtT+3B7kXuze9C74jvjO9K7s/uKu1u7LLsD+ue62vraut763rrT+r86o3qEOmG6O3oS+ez5zvm7Oa75pXmceZW5lXmduaw5vHnLOdq57joHOiK6OfpJOlJ6XDpsOoI6mDqm+qo6pPqdOpk6mzqh+qu6tbq+usT6x7rIesl6zbrWuuJ67DrxevJ68zr4ewQ7FLsl+zR7PvtGO0r7TDtJO0G7N7st+yd7JDsjeyP7JjsrezT7QXtOO1i7X7tke2i7bjt0u3u7gzuLu5W7obuu+7w7yDvTe9576jv2fAK8DjwY/CO8L/w+vE/8Ynx0vIU8k3ygvK38vTzOPOE89X0J/R59Mz1HfVu9b32DfZf9rT3C/dj97z4Gfh8+OP5RPmY+dn6CPoy+mT6qPsB+2b7zPwr/ID8zf0Z/Wn9wP4e/n7+3P8z/4D/w//9AC8AWQB9AJ8AxgD1ASsBXwGMAa8B0AH1AiQCXAKZAtgDGwNjA60D9AQ0BG0EpATgBR4FWwWWBdIGEwZXBpgGyQbsBw0HQQeQB+8IRQh+CJcIoAitCMQI3gjtCOwI3wjTCNEI2AjkCPMJCAknCVEJhQnACgMKUQqqCwsLaAuzC94L3AurC1EK4wp5CiYJ9QngCd0J4gnvCgQKJApKCnMKmwrBCuMK+Ar6CukK0Aq/CsMK1groCucKzgqqCowKfwp+CnYKWwoqCfAJvgmhCZgJnAmjCagJrQm6CdUJ/woxCmEKhgqaCpgKfQpECegJYQisB8sGwQWVBFUDEwHmAOAAEf9//y3/If9h/+4AuAGjAowDUQPiBD0EbQSCBIwEkwSaBJwEjgRuBD8ECwPfA7sDmgNyA0IDDgLgArwCnAJ2AkUCDQHWAaYBfgFWAS4BBQDgAL8AnABxAD8ACv/Z/63/g/9U/yL+9v7X/sj+wv65/qv+mP6G/nP+VP4k/eb9p/1u/Tf88fyX/EP8Jfxo/Qj9x/5H/kP9vvz//GT8J/xI/JT82/0E/Rn9Jv0t/ST9Bfzc/ML8yPzs/Rj9NP03/Sr9Hf0a/SP9Mv1D/VX9af17/Yf9iP2A/XT9a/1q/XH9ff2M/Zr9pP2r/a/9tf3A/dH94/30/f/+BP4H/gr+EP4Y/iL+K/41/kD+Sv5V/l7+Z/5x/n3+iv6W/p/+pP6n/qn+rv62/r7+xP7K/tH+2/7m/vD+9v75/v3/BP8Q/xv/If8i/x//Hv8h/yj/MP82/zj/OP83/zX/M/8u/yf/Hv8X/xL/D/8O/w7/Dv8M/wr/Bf79/vL+5f7W/sn+vv61/q3+o/6U/oD+av5U/kH+L/4d/gr99f3f/cr9uP2l/ZD9e/1k/U/9O/0p/RX9Afzr/NX8v/yp/JL8evxj/Ez8N/wf/Ab76fvL+637kvt3+1z7Pvsh+wT66vrS+rv6o/qL+nT6X/pM+jr6KPoW+gL57PnS+bX5mPl9+Wb5Ufk8+SX5C/ju+M74rfiN+G/4Uvg2+Bn3+ffZ97v3n/eG92v3Tfct9w328PbV9rz2o/aI9m32VPY79iL2CvX19eP11fXI9bj1pvWV9Yj1fvV19Wr1XfVR9Uv1SfVL9U/1UvVV9Vf1WfVb9WP1c/WL9af1wPXS9d314/Xl9eP12vXQ9cn1yvXQ9dP1zfXA9bn1u/XC9cD1q/WJ9Wv1YfVp9Xz1k/W/9hb2ofdE98f3+/fc95b3afd597v4Avgq+Cz4IPgi+Db4Tvha+Fz4Z/iL+Mf5B/k4+Vb5bfmM+bf55foH+hf6GfoW+hb6HPoq+j/6W/p6+pb6rPrB+t37Bfsz+1z7efuQ+6z72vwU/Er8a/x2/Hr8jPyw/NX82/ys/Ez72ft7+0v7R/tS+0v7H/rS+n/6QPoj+iP6MPo4+jf6Mfou+i/6LPod+f/52fm2+Zz5hPlk+TP48/iu+G74N/gF99b3qveF92z3W/dK9zD3Cvbb9q/2ivZw9l32TfY+9iv2FPX59dz1wfWr9Zz1kvWL9YP1dvVj9Ur1L/UX9Qn1B/UH9Pv01PSR9EDz+vPT883z2/Pn89/zvPOE80Hy+/K68oHyUfIq8gfx5PHA8Z3xgfFv8Wnxb/GA8aDxy/H68iHyNPIv8hXx7fHC8ZrxffFr8WTxY/Fi8VrxTvFC8T3xQ/FR8WPxePGP8azxy/Hn8fzyCvIU8h7yKPIy8jvyRfJT8mbyevKK8pfyo/K18tLy+PMn81zzk/PE8+bz8/Py8/P0C/RB9In0zPT49Q71H/U99W71pfXR9ej17/Xx9fj2BvYW9iT2LvY79kz2YPZy9oD2j/ah9r725PcR9z73ZfeD95j3qPe599D37/gU+Dv4YviK+LX44fkK+Sr5P/lM+Vj5avmG+a352/oQ+kr6hvrD+wD7PPt1+6n72vwM/Ef8kfzs/VL9uf4a/nL+xP8S/1z/o//tAEQAsAEqAaECAQJBAmkCjwLDAwwDZwPLBDUEowUSBXkF0gYfBmgGtgcIB1gHnAfQB/wIKAhYCIoIuwjrCSMJZwm0Cf4KOgplCogKrQrYCwgLNwtlC5ULygwCDDcMaQyYDMsNAw0+DXoNtg3zDjQOdg6xDuQPEw9HD4cPzxAWEFMQiRDAEQERSxGTEc8R/RImElgSmBLhEyYTXxOME7MT2xQLFEMUgBS/FP0VNxVsFZ0VzhYCFjoWdRauFuUXGBdJF3kXpRfPF/UYHBhFGHMYpRjZGQwZORlaGWwZbxlnGV0ZVhlXGV4ZaRl1GX4ZhRmEGX0ZbxlgGVEZRBk0GR0Y/hjdGMEYrhiiGJYYghhlGEMYIRgCF+MXxBekF4cXbxdcF0oXNxckFxMXCxcMFxAXExcOFwIW8RbfFswWsxaOFloWHBXhFbYVpBWkFaoVpBWKFVwVIxTqFLsUnhSWFKEUthTEFLkUixQ8E9kTdBMdEtwStRKjEp0SlxKFEmQSPRIbEgoSChIQEhQSERILEgUR/RHuEdgRyBHPEfgSPBKEErgSzRLIErgSqhKdEo8SexJmElYSURJbEmoSjRK8EvATIRNME3MTnBPNFAIUNRRjFIsUrxTKFM4UsBRxFCUT6RPQE90UARQvFGIUmRTLFN8UsBQpE1ISWBFzEM0QchBMEDYQEg/TD4UPQQ8jDzsPhA/pEEoQjRCrEKwQpRCnELwQ3xEJES4RShFcEW0RgxGiEcoR8hISEiMSJxIkEh4SGhIXEhQSEBIJEf4R7RHWEbkRnBGBEWgRTxExEQ8Q7BDQEMAQwBDMENwQ5RDeEMIQkRBQEAMPrg9VDwEOug6GDmIOQw4cDegNqQ1oDSkM8QzADJsMjQyaDLwM4QzzDOYMwAyPDGQMRQwuDBoMAAveC7ELeQs5CvgKvgqSCm8KTwovChcKDgoUChoKCQnPCW0I8wh1CAEHmQc6BuYGowZ4Bl8GSgYpBfkFwAWHBVYFLQUJBO0E3gTgBPMFDAUgBSUFGAT8BNgEswSOBGgENwP0A5wDNQLKAmMCAwGkAUMA4QCHADn/9/+5/3X/K/7i/qX+d/5U/jH+Bf3O/Y/9Tf0J/Mb8hvxK/BT75Pu3+437ZftB+yD7APrb+rH6gPpM+hb54vmv+X35SvkW+OD4qvh4+En4Hvfz98T3kfdd9y33Avbb9rL2hfZR9hb12vWg9W31RfUl9Qr07vTQ9LH0lfR69GD0QPQb8/Lzy/Oo84fzYfMx8vnywPKN8mXyRvIo8gjx4/G78ZXxdPFb8UfxOPEo8RbxAPDm8Mvwr/CT8HjwXPBA8CDv+u/N757vc+9S7zzvL+8l7xrvD+8F7v7u9e7l7s/utu6d7ofubu5J7hbt3e2r7Yjtc+1e7T7tEezi7L3sqeyg7Jvsmeyj7MXtBe1e7cfuPe7D71Xv4fBG8GDwIe+V7truCu0z7Frriura6mTqL+om6h7p+Omp6ULo1+hv6APnjucW5q7mZOY45hvmAuXv5e7mCOY55nXmsubz50XnqOgR6Gjonui76NbpBelL6ZTpxunU6cPpp+mU6ZPppOm/6dvp8On76gLqEuo96ovq8OtT65PrpOuQ63jreeue697sI+xd7IjsquzH7N/s6+zq7N3szuzE7L7suuy37Lnsx+zm7RHtQO1o7YLtkO2X7Z3tp+227c/t8u4g7lTujO7C7vTvJO9V74fvvO/x8CXwV/CJ8L7w+vE/8Yvx2PIh8mHymvLQ8wfzQ/OH89H0IPRz9Mf1GPVm9bL2AfZT9qr3BPdf97z4HPiC+Oz5U/mv+fv6Ofpw+qr67/tD+6L8A/xf/LT9BP1V/a3+DP5t/sb/Ef9P/4X/uv/wACUAUwB4AJoAwgD1ATABagGZAbwB3AICAjICbAKqAuoDLQN2A8EECgRMBIkExgUIBUsFjQXNBg4GVwagBtwG/AcEBwsHMAeAB+0IVwihCMgI3Qj4CRwJPAlICTsJHwkHCP4JAwkPCR4JMQlNCXQJownZChsKbQrOCzQLjgvIC9QLsQtjCv0KlAo+CggJ8wn1CgEKEgonCkMKaAqPCrUK2gsACyMLPAtACywLDgr6Cv8LGgs0CzkLHwr0Cs4Kuwq3CrMKmwptCjMKAQnlCeMJ9QoLCh0KKQo5ClYKgwq4CuIK7QrMCn4KBQljCJcHoQaFBU8EDgLOAZsAfv+M/tj+eP50/sf/YQApAQoB7AK6A2ID3gQwBGAEfASLBJIEkQSIBHQEVwQxBAUD2AOtA4EDUgMfAuoCvQKbAn8CYQI5AgYB0gGlAYIBXwE3AQgA2wC3AJ0AgQBXAB//4/+x/4v/a/9D/xD+3f65/qn+pf6e/oz+dP5g/lL+P/4Y/dz9mf1e/Sv87PyS/DL8BfxL/Qz+A/64/sX+H/0c/Dv71Pvs/Ef8mvzH/Nn86/0E/RH8/vzS/Kf8nvy8/O39E/0c/Q78/fz4/QP9Fv0p/Tv9Sf1U/Vr9WP1Q/Uj9Rv1L/Vb9Zf1y/X39g/2G/Yj9jP2W/aX9t/3H/c/90f3O/cz90P3b/en9+P4G/hP+Hv4o/jL+PP5G/lH+Xv5s/nb+ev54/nT+c/54/oH+i/6S/pj+nv6m/q7+tv6+/sb+0P7d/ur+8v7y/u/+6/7r/vD++P7//wT/Bv8F/wH++/7z/uj+3f7U/s3+yf7H/sb+xf7D/sD+vP63/q/+pP6X/oj+fP5z/m3+Zf5Z/kf+M/4e/gz9/P3r/dn9xf2w/Zv9iP10/V/9R/0u/Rf9APzs/Nf8w/yv/Jv8h/xz/F38Rfwt/BX7//vn+877sfuU+3f7XPtB+yX7Cfrs+tH6tvqc+oL6aPpQ+jz6KfoX+gL57fnX+cP5r/mY+X/5ZflL+TX5IfkM+PT42fi7+Jz4ffhf+EP4KPgN9/H30/ez95X3efde90D3H/b99t72xPav9pn2gfZn9kz2NPYc9gX17vXY9cX1tvWo9Zj1hfVz9Wb1XPVU9Uj1OvUr9SD1G/Ub9SD1JvUr9Sz1KvUn9Sj1NPVO9W71jfWk9bH1uvW/9cD1ufWt9aH1nvWk9av1rPWl9Z/1n/Wk9aD1ifVk9UL1NfVA9Vr1ffW09hD2l/cw96j31Pe293n3WPd298D4Cfgu+Cz4IPgn+ET4Zvh7+IP4lPjA+QP5Svl8+ZL5mPmi+bj51/n0+gj6EfoW+hr6Ivow+kj6Z/qG+qD6tPrK+uv7HftX+4n7rPvF++T8FPxS/In8qPyt/Kj8tPzY/QT9FPzn/Hn75vti+xv7Ifte+6H7tvuH+x/6pvpI+hz6Hvo1+kn6UPpO+kr6R/o8+iL59/nE+ZX5bvlM+SP47Pio+GD4Hffk97X3kPdx91r3R/cy9xb28fbJ9qT2ifZ29mr2X/ZS9kL2LvYV9fb10/Ww9ZL1ffVu9WP1VvVG9Tj1L/Ut9TD1LPUX9Of0n/RO9Anz3/PR89Pz0vO/85bzW/MW8s3yh/JI8hjx9/Hk8dbxxfGu8ZXxgfF28XTxfPGQ8bPx5PIa8kbyW/JW8jzyFvHu8cjxqPGR8YbxhfGH8YPxd/Fm8VrxWfFj8XTxhfGV8aTxtfHH8dnx6vH58gjyFvIk8jXySPJf8nbyh/KR8pfyofK08tPy//M283jzwfQG9Df0S/RH9D/0SfRx9Kv04PT/9Qv1GPU49W31pvXL9db1zfXF9cr13vX09gb2FPYj9jz2XPZ+9pr2rva99s/25/cG9yf3RPdY92P3afdx94H3nPe+9+T4Cvgy+F34ifix+ND45Pjx+P75Evkx+Vr5i/nB+fz6O/p7+r36//s/+377vfwA/Ez8pv0I/Wv9w/4L/kb+ef6q/tz/Ev9W/7QALwC/AUwBvgILAjwCaAKlAvgDXwPOBEEEsgUdBX0FzQYSBlkGqQb+B0kHfgebB60HxgfxCCsIagioCOcJLAl5CcYKCgpCCm8Klgq8CuELCAsxC2ILmQvTDA0MQwx4DK8M5w0eDVUNkQ3bDjEOhw7RDwQPKQ9PD4QPxxAMEEgQfBCzEPYRRRGREc0R9hIaEkgSihLYEyMTXROFE6QTyBP7FDsUgxTIFQMVNBVeFYkVuxX2FjYWdBasFt8XDxdBF3IXoBfJF+8YFRg/GHAYphjcGQwZMxlNGVgZVxlOGUUZPxk/GUQZTBlVGV0ZYxlhGVcZRxk2GSkZIBkWGQYY7RjRGLUYnxiLGHUYWxg9GCEYCRfzF9sXvBeYF3IXUBcyFxgXABbrFt4W3RbnFvgXCBcPFw4XBhb6FukWzBadFloWDxXNFakVqhXIFesV/RXxFccVixVIFQwU3RTBFLcUtBSpFIcURxPwE5ATNhLqEqsSeRJTEjkSJhIVEgAR5RHMEbcRqRGcEY0RfxF5EX4RhhGDEXIRXBFXEXMRrhH3EjYSXxJ3EoYSlBKdEpoSiRJxElwSURJWEnkSkhK2EuUTGBNIE3QTnRPGE/IUIBRRFIMUshTQFM4UpBReFBcT7RPuFA8UOxRkFIoUtRTfFO8UvxQ7E24ShBGzESIQ1xC9ELIQmBBgEAwPrQ9fDzgPRA94D7wP9RAUEBoQFxAcEDYQZBCdENMQ+xESER4RLxFPEYERuhHqEgkSFxIeEiQSLBIyEjASKhIkEiASGBIEEd8RrxF/EVoRQREtERUQ+BDdEM4QzxDaEN0QyhCdEF0QGQ/bD6QPbQ8vDukOpg5vDkYOJQ3+DcsNjg1SDSINAQzvDOoM8g0FDSANNg08DSgM/QzFDJEMaQxSDEYMPAwnC/8LwQtxCxoKyAqCCkgKGwoACf8KGQpAClUKOQneCVIIuAgwB80HigdaBzMHEQb1BtoGtwaGBkgGCQXVBa8FkwV7BWcFXAVgBXQFkQWtBbwFuQWlBYMFWQUqBPUEtQRhA/gDfwMEApACJwHCAVwA9QCTAD//+P+2/27/Hv7N/of+VP4v/gv93f2h/Vv9FPzT/Jn8Zfwz/AH7zfua+2v7Rfso+xP6/vrk+r/6j/pY+h/56vm7+ZH5avlB+RX45vi3+Ij4Wfgo9/P3vfeJ91r3L/cF9tr2q/Z39jz1/PW89YH1UvUv9RH09PTS9LD0kfR39F70PvQV8+fzvPOY83nzVvMp8vLyufKJ8mTySPIu8hDx6/HB8Zfxb/FO8TTxJfEe8R7xHvEX8QHw2vCm8HDwQ/Al8BXwCO/179bvrO9/71XvMO8R7vnu6e7i7uHu4O7Z7snutO6d7obuae4/7gjty+2W7XPtXu1M7TLtD+zv7N7s3+zr7PjtCe0n7WDttO4W7nbuz+8s75Lv+PA78Dbv3O9A7ojtzu0U7Errb+qd6f/pruma6ZHpYuj+6HzoAOeg51LnA+an5knl/OXL5bDln+WQ5YnlkuWv5d7mF+Zb5q3nD+d0587oEOg96GHoiui46OPo/+kH6QDo8ujm6N3o2+jf6Ojo8Oj26P7pGele6dLqZery61DrbetU6yrrEusd60breOul68rr6uwN7DLsVOxx7Insnuyy7MTsz+zT7Nbs3+zy7RLtN+1c7Xjtie2O7Yrtg+2D7ZPtte3n7iLuXu6Y7s/vBO8472zvoO/X8BHwTPCH8MPxAfFF8Y/x3fIp8mzypfLY8wnzQfOC8870I/R89NP1JfVy9br2BfZV9qv3A/dc97j4GPh++On5U/m3+g/6Xfqj+un7MvuE+938OvyV/Ov9P/2W/fP+VP6y/wH/Pf9o/47/uv/tACQAVgB+AKAAxgD1AS0BZQGXAcIB7AIaAlACiQLEAwEDRQOQA98EKgRtBKwE7QUzBXgFugX5Bj4GjwbhBx4HMgckBxMHKQd5B/QIcgjQCQcJKQlMCXUJlQmaCYIJWwk5CSoJKgkyCT0JSwliCYIJqgneCiIKeQrdCzsLfguYC4ULTAr9CqcKWgojCggKBwoWCikKPApTCnIKmQrECu4LFQs9C2QLfwuFC3ELUQs7C0ELYQuFC5QLgQtUCyIK/QrrCuEK0Qq1CpAKbQpYClcKagqICqYKwArWCvALEAssCy0K+gqDCcYIzweuBm0FFwO5AmkBOwA//3b+3v55/lH+dP7n/54AgQFtAkgDAAOMA+8EMARZBHUEhwSRBI4EfARfBD0EGwP6A9kDsgODA0wDEQLYAqYCgQJmAk0CLQICAdEBpQGDAWgBSAEdAOkAtgCRAHgAXwA6AAX/yv+Z/3X/V/8y/wL+0P6s/p3+mP6O/nb+V/5D/j3+N/4c/eL9l/1T/R786fye/En8Hvxh/Sb+LP7x/wP+TP0k/Bv7mfup/Aj8YvyS/KX8vPzh/P389vzJ/Jb8f/yU/MP86/z6/PH84vze/Oj8+f0K/Rj9I/0p/Sv9Jv0g/R39IP0s/Tr9Sf1U/V39Y/1m/Wn9bP1y/Xv9iP2T/Zr9nP2b/Zv9oP2r/bz9zf3d/en99P3+/gn+FP4e/if+MP44/j/+Qf4//jv+Ov4//kn+VP5d/mL+Zv5s/nX+f/6K/pT+nv6p/rT+vv7C/sP+wv7B/sP+yP7O/tP+1/7W/tD+x/67/q7+ov6Z/pH+jP6J/oj+hv6E/oD+e/52/nD+aP5d/lD+Q/45/jD+J/4c/g39+v3o/df9x/23/aX9kv19/Wj9VP1A/Sn9Evz5/OH8yfyz/J78ivx3/Gb8VvxF/DD8GPv+++T7y/uy+5j7fftg+0P7J/sL+u/60/q4+p76hPpp+k76M/oc+gj59/nk+c75tfmc+Yf5dfli+U35Nfke+Qj48/je+Mb4qviM+G74Ufg1+Br4APfl98j3qveM92/3Uvc19xX28vbP9rL2m/aJ9nb2X/ZF9iv2FPX/9er10/W+9az1nvWQ9X/1avVV9UT1OPUv9SX1GPUK9P/0+PT29Pj0/fUD9Qf1BPT99Pf0/PUR9TH1VPVu9X31h/WP9ZT1k/WL9YH1fvWD9Yn1ivWE9X71gPWH9YX1bvVE9Rv1CfUX9T71dvW+9iH2o/cs95P3tveX92L3TPdw97z4Avgi+B74Ffgj+Er4d/iU+KD4rvjT+RD5U/mF+Zz5nfma+Z/5rPnA+dX56vn/+hP6J/o/+l36gfqi+rz60Prl+wn7QPt/+7j74Pv6/BX8Ofxm/I38oPyh/Jz8p/zI/PL9A/za/Gz7zPst+sf6wvsa+6H8D/wq++D7T/q1+kn6Ifou+k36Yfpk+mD6YPph+lf6M/n4+bH5cPk9+RD43fib+E/4A/fE95X3c/dZ90L3KvcS9vf21/az9pH2dfZj9ln2U/ZO9kb2OfYl9gn14/W59ZH1cPVY9Uf1N/Up9SH1JPUy9UD1PPUW9M70dvQm8/Pz4fPf89fzt/N/8zny8vKw8nHyNPH88dHxuvG08bfxt/Gx8ajxpPGl8avxtPHF8ebyFvJN8nvyj/KH8mnyQfIa8fbx1/G/8bPxsvG18bHxofGH8XDxZfFq8XvxjPGX8Z3xovGq8bjxzPHg8fLyAfIP8iDyN/JQ8mjyd/J/8ofyl/K18uDzFPNR85rz7PQ79Hf0kPSL9H30f/Sd9Mz09vUM9RL1HPU49WT1jvWk9aH1lfWT9aX1xfXk9fr2B/YX9jT2XPaI9q72x/bW9t/26vb59w33Ifcw9zf3OPc49z/3T/dp94n3rffU+AD4LvhZ+Hr4kPif+K/4xvjp+Rb5SfmB+b/6APpF+oz61fsh+3D7xPwa/HP8y/0g/Wr9o/3L/eX9+f4P/iz+V/6b/wH/iQAoAMYBSwGtAfcCOwKLAuoDVQPEBDIEnQUCBVsFpwXuBjsGlQbxBzsHYQdkB1sHYQeGB8YIEwheCKYI7wk+CY4J2AoUCkMKaAqKCqwK0Qr8Cy4LZwujC+AMHAxaDJcM0Q0EDTQNbQ25DhkOfQ7SDwsPLg9OD3sPtw/5EDYQbhCoEO8RPhGKEcUR8BIVEkcSixLaEyQTWxOAE50TwxP5FD4UiBTMFQAVJRVHFW8VphXqFjMWdRasFtsXCRc6F2wXnBfFF+kYDRg4GGsYoxjZGQcZKRk9GUQZQBk3GS4ZKRkoGSwZMhk4GT4ZQRk9GTIZIRkPGP8Y8hjmGNcYxxi5GK4YoxiRGHMYSxggF/8X6hfdF80XsReJF1kXKxcEFuQWyRaxFqEWnxatFskW6RcAFwQW9BbVFqwWfhZIFgwV0RWiFY0VmBW5FdsV7BXiFb4ViBVJFQkUyxSVFGgUPRQME8oTfRMxEvkS2RLGEq0SfhI9EfkRwBGaEYIRbhFaEUIRKBENEPgQ7xD8ERoROxFMEUURLxEkETgRbhG5EgMSPxJuEpMSsBK/ErwSpxKMEnYSaxJsEqYSsxLIEuoTFxNIE3cToRPIE+4UGRRHFHgUoBSyFKEUbhQrE/MT3hPtFBIUNRRQFGoUkRTCFOMU0hR5E90TIhJwEeURjRFfEUsRPREkEPMQqRBREAQP0g/BD8QPyA/BD68PnQ+bD7UP6hAwEHcQrhDNEN0Q6xEKETsRdRGmEcUR1xHpEgcSKxJIElUSUhJLEkUSPxIsEgMRyhGQEWURTRE9ESYRBxDpENsQ4RDuEOoQwhB3EBoPyA+SD3gPag9UDywO9w7BDpAOZA42Df8NwQ2HDVsNRA1ADUkNVg1jDWsNbA1gDUYNGwznDLYMkQx/DHsMdgxfDCoL1QtrCvkKiwooCdQJlgl7CYkJtwnqCfgJwAk/CJEH6QduBy4HHQcgByAHEgb1BscGiwZDBfwFxQWsBbAFxgXhBfwGFwY0BlIGbQZ8BnwGbgZVBjQGCgXXBZkFSwToBG0D4QNRAssCVgHuAYkBIQC4AFYAAP+0/2f/Fv7E/nv+Qv4X/e79vv1+/Tb87vyx/ID8V/wu/AD7zPuZ+2z7Svsz+yP7E/r9+t76s/p++kT6C/na+bP5k/l2+VT5LfkA+M/4m/hk+Cv38fe694X3VPcj9vL2wfaL9lD2EPXN9Y/1XPU29Rb09fTQ9Kr0i/Rx9Fj0N/QM89rzrPOH82jzRfMZ8uXysfKF8mLyRfIm8gPx3PGy8YrxY/E/8SHxEPEO8RvxLvE58TDxDvDX8JjwX/A38B/wEvAE7+3vy++i73XvSO8e7vzu4+7W7tHu0e7O7sbuue6o7pLucu5E7gvtz+2d7Xzta+1f7VHtP+0z7TXtRO1X7Wftd+2V7czuFu5e7o/upu647tnvCu8t7x7uz+5U7dXtaOz/7H3r0usZ6ofqQeo56jbp++l06MPoHuep51znGubH5mXmCuXJ5aLlheVn5UnlOeVG5XLlt+YL5mXmvucS51/no+fg6BnoS+hz6I/ooeiw6L/oyOjE6K/okOhy6GDoWehV6FPoXuiO6PLpgOoY6pDqzerR6rfqn+qe6rXq2usB6ybrSetv65frwOvp7BPsPOxk7IXsneyq7LDss+y77Mvs5e0J7THtVe1r7XDtau1m7XPtle3K7gnuSe6G7sHu+e8u72Dvku/G8AHwQvCG8MjxCvFN8ZTx3fIj8mDyk/LB8vHzKvNw88P0IPSA9N71NfWC9cr2EvZf9q/3AvdW9674C/hx+N75S/m1+hj6c/rH+xb7ZPu2/A78avzI/SP9ev3R/in+gv7V/xv/UP93/5r/w//0ACsAXgCIAKsAzgD3AScBWwGRAcgCAAI5AnICqQLhAx4DZgO3BAoEVgSaBNsFHwVoBawF6QYjBmcGvQcYB1sHbgdWBzoHSgecCCAIqAkOCUkJagmKCa4JxgnECaYJfQlcCU8JUAlYCWIJbwmACZUJsAnWChEKYwq/Cw4LOQs4CxQK3gqlCnIKSAotCiMKKwo8Ck8KXwpxCo0KtQrkCxMLQAtqC5ILsAu6C6wLkgt/C4cLqAvSC+oL4Qu6C4ULVAsyCx8LFQsNCwIK9QroCuQK8QsPCzoLZAuEC5QLkAtuCxoKfgmOCFIG4gVcA9kCaAEa//7/Kv6p/nf+hf7B/yP/qgBWARwB6QKmA0IDuQQNBEYEawSDBJIElwSQBHoEVwQtBAYD5gPNA7IDjQNbAx8C4QKqAnwCVwI5AhwB+gHUAawBiAFqAU0BKwD9AMcAkQBmAEYALAAN/+T/tf+J/2X/Q/8b/u3+v/6f/pD+if58/mH+Qv4u/i3+MP4c/eX9mP1O/Rj86fyp/Ff8HvxB/OD9yv6M/rD+FP0E/AX7gvuN++n8Q/x0/Ij8ofzG/OP83fyv/Hf8Vvxe/IL8qPy//MX8xfzJ/NH82/zk/Oz89fz8/Pz89/zy/PL8+v0J/Rj9Jf0u/TX9O/1B/Ub9S/1Q/VT9WP1c/WD9Zf1r/XD9d/2B/Y/9n/2v/bz9x/3T/eH97/36/f/+Af4B/gP+Bf4I/gv+Dv4V/h7+Jv4s/i/+Mf43/kL+UP5e/mr+dP58/oT+jP6T/pf+mf6Y/pf+mP6c/qL+pv6m/p/+lP6I/nz+cv5p/mD+WP5R/k7+TP5K/kX+P/45/jP+Lf4l/hz+EP4E/fj97P3f/c/9vv2t/Zz9jf19/Wz9Wf1F/TH9HP0I/PL83PzF/K78mPyB/Gz8V/xE/DT8JPwS+/375fvL+7H7mPuA+2j7Tfsx+xX6+Prc+r/6o/qI+m76VPo4+h36Afnq+db5xPmw+Zn5f/lm+VH5Pvkr+Rf4//jo+NP4wPit+JX4evhc+D/4JfgL9/L32fe+96P3h/dq9033L/cQ9u32yfam9on2c/Zi9lD2OvYg9gf18fXd9cn1tPWf9Y71gfV09WP1TfU19SL1E/UI9P308vTn9OD02/TX9NX01vTb9OL04/Td9NP0z/Tb9Pb1GPUz9UT1TPVT9Vv1YfVj9WP1ZfVr9W/1bPVj9Vz1YPVq9Wz1VvUp9Pn04fTw9SP1bvXJ9jX2sfcr94H3mvd89073QPdo97L39/gY+Bj4Ffgq+Fr4kPi2+Mb40Pjn+RL5Rvlx+Yj5jfmH+YH5gPmJ+Z35u/nf+gL6I/pE+mv6l/rD+uf7Avsa+zr7Z/uc+8378fwI/Bn8LPxD/Fn8aPxz/ID8lvy3/Nn85/zL/HT75/tD+r76jfrL+1/8B/xw/GP75vsy+pT6Pfoy+k/6a/p1+nT6fPqQ+qD6kvpZ+f35mflE+QP4zPiN+EH38fep93P3Tvcx9xb2/Pbj9s32tPaW9nT2U/Y89jL2MfYy9jD2KPYa9gP15PW+9ZX1bvVQ9Tf1IvUP9QL1AvUQ9SD1HvT69LT0YPQc8/fz7/Pr89HzlvNE8vHyq/Jz8kHyCvHU8arxl/GZ8afxtPG88cLxy/HX8ePx7vH98hvySvKB8qzyu/Kq8oPyVvIv8hHx+/Hs8ePx4vHh8djxwfGh8YPxdfF68Y3xoPGp8ajxofGd8aTxtPHI8dvx6PHz8gHyF/Iv8kXyU/Jc8mryh/K18u7zLPNv87j0CvRY9JH0p/Sh9JP0l/S19OP1CPUZ9Rv1IfU29Vb1cPV69XT1cPV99Z31xfXl9fj2BvYa9jv2Z/aU9rn20vbg9ub26Pbs9vP2/vcJ9xD3EPcP9xH3G/cu90n3aveS98D38/gj+Er4ZPh2+If4ofjG+Pf5Mfly+bn6AvpK+pD61fsf+3D7yPwh/HL8uPzv/Rn9OP1L/Vb9X/1r/YH9rP3z/l3+5v+DACEArwEmAY4B9AJeAs4DPQOoBA4EcQTPBSMFbgW5BhAGdQbYByAHOgcrBw4HBgcmB2kHvAgNCFgIowjyCUUJkAnOCf0KIwpHCm4KmQrJCv4LNgtxC60L7QwwDHUMtAzqDRcNSA2KDd8OPQ6TDtMO/w8mD1YPkw/XEBkQWRCbEOQRMBF3EbER4RIREksSkhLdEyATVBN7E54TyBP/FEEUhRTAFO0VDhUuFVkVlhXhFi4WchaoFtYXBBc2F2oXmRe/F+AYAxguGGIYmBjLGPUZFBknGS4ZKhkhGRcZERkRGRcZHhklGSkZJxkfGRAY/hjrGNcYwhiuGJwYkxiWGKIYrBilGIUYUBgXF+kXzxfEF7oXohd4F0EXChbeFr4WpxaSFoEWexaHFqYWzBblFuAWthZyFicV6BW7FZ0ViBV7FXgVfxWKFY4VgxVmFT0VCxTTFJMUTRQGE8ITfhM1EuYSnBJvEnISoBLcEv4S6BKdEjcR2RGUEWkRShEqEQcQ5RDNEMoQ4hEVEVQRiBGcEYoRYxFGEU4RfxHOEiISbBKoEtUS8xL7Eu4S0hK0EqESmxKeEuES6RL0EwkTKhNSE30TphPNE/QUHBRGFGoUgBR8FFwUJhPvE8kTwhPSE+wUARQSFCkUTxSBFKcUqRR2FBETixL+EnsSEhHMEawRqxG3EbYRlxFaEQ4QxhCLEFsQLg/8D8kPoA+MD5UPvA/3EDoQcxCZEK4QvRDXEQARMBFYEXERhRGkEdYSFRJMEmoSbhJmEl4SWBJIEiUR8RG8EZURfhFsEU8RKBEDEPEQ9xEFEQEQ1RCBEBwPxg+UD4UPig+LD3sPWA8qDvkOyA6XDmIOKQ3yDccNrg2oDasNrw2rDZ0Nhg1qDUkNIwz4DNAMtAyoDKUMmQxxDCILsgsxCq8KNQnFCWAJEAjlCOcJCgkrCSII0whGB54HDQa3BqEGtQbSBuAG0waqBmkGFgW9BW8FQQU9BWQFpwX6BlIGqwb/B0MHawdxB1sHNQcMBuUGvgaQBlYGCQWjBR8EggPZAzcCqgI2Ac8BZwD5AIoAIv/G/3L/H/7M/nz+OP4B/dL9of1n/Sb85vyv/IT8Yfw8/BH74fuz+437cPta+0b7Mfsc+wT65fq7+oT6RfoK+dz5uvmh+Yf5Zfk8+Q342vik+Gn4K/fs9673cfc29v72x/aP9lT2FPXT9Zj1Z/VB9R/0+fTR9Kz0jfR19Fr0M/QB88vzm/N381rzOfMP8t3yrPKB8lvyNvIN8eLxuPGU8XPxUvEw8Q/w+PDy8P7xF/Ey8UHxPvEl8PzwyvCW8GbwO/AV7/Tv1u+475bvcO9G7xzu9u7Z7sXuvO667rzuu+6y7p7ufO5Q7iHt9u3Y7cntw+2+7bTtpu2b7ZvtpO2t7a7tq+2y7cvt8O4J7gLt3O2x7Z3tqe267aztb+0Z7NHsreyc7HTsHeuq607rNOtP62jrPuq86gbpWOjZ6IToOOfY52Lm7eaN5kLl/eW05W/lSOVW5Z/mEeaM5vTnOOde53fnlOfD5/7oOuho6IjooujD6OzpDukU6PfowuiP6G/oY+ha6EXoJugV6Cvodujn6V7pvun46hPqIeov6kjqauqR6rrq4+sL6zLrVut5657rxOvr7A7sLOxB7E7sVexZ7GDsdeyd7NbtFO1J7WjtdO167Yntq+3e7hfuUe6K7sPu/O8072fvlu/H7//wP/CD8MfxCPFK8Yzxz/IL8kDybvKd8tTzFvNk87z0HPSA9OD1OvWJ9dD2FvZf9qz2/PdN96L3/vhk+NL5RPm1+iH6hfri+zj7ivve/Dj8mfz+/V/9uP4H/lD+lf7X/xL/Rv9y/5v/xv/2ACkAXQCMALUA2gEBASwBXwGZAdcCFwJTAosCvwL4AzoDigPjBDkEhwTMBREFXAWrBfIGLQZhBqIG+AdXB54HtAedB4EHkQfkCGkI7wlRCYUJnwm3CdAJ3QnSCbEJiwlzCW8JdgmACYsJlgmiCa0JuAnKCfIKNAqCCsQK4grZCrgKlAp2CmEKUApCCj8KSApbCm4KfAqKCqAKxQr1CycLVgt/C6QLwgvUC9ULzQvIC9UL9QwcDDUMNQwbC/ELwwucC4ALcgtwC3ULegt6C3kLggucC8YL7wwEC/ILrQssCmUJTQfkBkEEiALlAXcASv9i/sL+cf51/sX/Tv/1AKUBVAH9ApsDJwOaA/MENQRnBIwEowSuBKwEngSGBGMEOQQMA+MDxAOoA4oDYgMvAvcCvwKNAl4CMwILAecBxwGqAY0BbQFKASQA+wDOAJwAaAA3AA7/7f/S/7f/lv9y/0v/Jf79/tT+rP6N/nr+bv5g/kr+MP4e/hv+G/4K/dr9kv1L/RT85/yo/E/7+/vr/Ez9BP21/fT9kPy9++v7efuD+9b8Lfxi/Hz8lPy0/Mn8vvyR/Ff8Lfwj/DP8Tvxr/IX8nfyw/Ln8uvy5/L78yPzR/NP8zfzI/Mr81vzm/Pb9Af0H/Qr9Dv0T/Rv9Jf0t/TD9Lv0p/Sj9Lf03/UL9S/1T/V39bP19/Yz9mf2m/bX9xf3S/dj91v3R/dD91P3c/eX97f3z/ff9+v37/fz9/v4F/hH+Iv40/kP+T/5X/lz+Yv5n/mr+av5n/mP+Yf5j/mj+bf5u/mn+X/5V/k7+R/4//jT+Jv4a/hH+Df4L/gf+Af36/fX98f3t/eb93P3Q/cL9tP2k/ZL9gP1t/Vz9TP09/S39Hf0L/Pn85/zT/MD8rPyY/IL8bPxU/D38J/wR+/z75/vR+7r7o/uL+3X7YftO+zj7IPsF+un6zfqy+pf6e/pe+kH6JfoJ+e350vm4+aH5jPl3+WD5SPkw+Rr5Bvjy+Nz4xPit+Jn4iPh2+GD4Rvgp+A739ffe98n3sveb94P3avdP9zL3E/by9s72qPaF9mj2UfY+9ir2E/X59eD1y/W59ab1kvV+9W31X/VR9T/1KfUS9P/07/Ti9NX0yPS/9Lz0uvS49LP0sPS09L30xfTD9Lj0r/Sx9MX04fT79Qr1EPUV9R31J/Ux9Tn1QvVM9VP1UfVI9UH1Q/VO9VH1PvUS9N/0wvTN9QH1U/W29ib2n/cQ91/3ePdi9z/3OPdi96339Pgd+Cf4LPhF+HX4rfjZ+PD4+vkG+Rz5OflW+Wr5dPlz+Wv5Yvli+XH5kfm7+eb6Dvo2+mX6nfrY+w37NvtT+237iPum+8L71/vk++379fwA/BD8KPxJ/HH8mvy+/Nn85/ze/K78TPu8+yX6vvq6+yH7xfxQ/Hj8JPt8+s76Xfo8+lD6bPp1+nT6gfqn+tX65/q9+ln52Plg+Qf4xfiI+D736feV91H3Hfb19tH2svab9oz2f/Zq9k32LfYW9g32DvYR9gz2AfX09ef11vW99Zr1dfVT9Tj1IPUG9O303fTa9OL04/TM9Jv0XPQo9Az0A/P1883zg/Mo8tLyjvJb8ivx9vHA8ZnxjPGY8a7xwfHN8dbx4fHw8f/yDPIe8j/ycfKp8tPy2/K/8ovyVvIv8hnyEPIN8gzyCfIA8e/x0/G08ZzxlPGe8bLxw/HH8bvxp/GW8ZDxmPGn8bbxv/HI8dXx6vID8hnyKPI28k7yePK08vnzQPOJ89f0J/Ru9Jn0oPSP9IH0jfS29On1D/Ud9Rv1HfUs9UP1VvVe9WH1bvWL9bL11fXs9fr2CvYn9k72efae9rn2zfbc9ub26vbp9uf26Pbs9vH28/by9vT2/vcR9yz3Tvd296f33fgT+D/4X/h0+If4pPjO+Qj5T/mh+ff6SvqR+sn69vsi+1b7lPvU/A78Ovxc/Hn8lvyz/M785fz7/Rr9SP2O/e3+Yv7n/3H/+QB9AQEBiAIRApUDDwN7A98EPASUBOUFMgWCBd8GRwapBuoG/AblBsQGvAbdByEHcgfACAYITQiaCOwJOQl5CawJ1goACiwKXAqPCsYK/ws7C3cLtwv7DEQMiwzJDPwNKg1dDZ0N6A40DngOsg7oDyIPYw+qD/MQPRCHENERGRFaEZMRyhIDEkQSihLOEwwTQRNyE6ET1BQKFEQUfBSuFNkU/BUhFVEVkBXaFiQWZRaaFsoW+hcvF2IXjxe0F9UX+hgmGFkYixi4GNwY+BkLGRQZEhkJGP4Y+Bj5GQEZDBkTGRQZDRj/GO4Y3RjMGLkYpBiNGHkYcRh5GI0YnxifGIIYSxgMF9cXuBerF6EXiRddFyQW6hbAFqkWoBabFpUWkRaZFrAWyhbSFrMWahYHFakVahVTFVkVahV6FYEVfxVxFVMVJBTqFKsUbBQtE+cTnBNQEwwSzxKVElsSLhImElcSuxMwE4MTkxNeEwESoxJXEh4R7BG3EYIRWhFMEWMRnRHrEjYSYhJbEiQR2BGcEYwRsBH3EkgSkxLPEv0TGRMhExIS9xLcEs4SzxLYEwcTERMaEyYTOBNTE3QTmRPBE+oUExQ3FE4UTxQ6FBIT5BO9E6kTphOuE7oTyBPbE/QUExQtFDYUJhP6E7YTXxL5Eo0SKxHlEcsR2xIAEh8SIRIFEdQRnxFsETgQ/RC6EHUQOBAKD/EP7hADECkQVhB7EJQQpBC1ENEQ9BEVES4RRhFqEaAR4RIbEj4SSRJJEkoSUBJPEj8SHhH4EdkRxBGvEY8RYxE3ERsRExEWEQwQ5RCiEFAQBQ/RD7cPrQ+oD5wPhQ9jDzsPEA7lDrsOkQ5pDkYOLQ4dDhQOCA3zDdINqQ1/DVUNKQz9DNQMuAysDKQMjQxTC/ELcgrtCnEJ/wmTCSkIygiHCGkIaAhmCEYH9weDBwkGrgaGBowGqwbHBtAGvQaQBkwF9QWWBUAFBgT3BRQFVgW3Bi8GvAdOB9EIKghMCD0IEQffB7IHjAdkBzMG8AaTBhEFZwSfA9MDHQKKAhUBrAE/AMsAV//t/4z/Mf7U/nb+IP3a/aT9eP1M/R387fzC/J/8gPxe/DT8B/ve+7z7ofuI+2z7T/s3+yX7FPr2+sX6gvo6+fz5z/mw+Zb5ePlW+S/5BPjV+J74YPgb99T3jPdI9wf2yfaM9k72EPXU9aH1d/VS9Sz1AvTY9LX0m/SF9Gb0OPP887/zjfNr81DzMvML8tzyrPJ98lDyIPHv8cDxmPF58V/xQ/Ei8P3w3fDJ8Mjw2vD68SDxQvFX8VjxP/EM8MfwffA78Anv5+/O77Pvk+9r7z7vEO7l7sHurO6n7q/uuu687rDumO587mjuX+5h7mbuZe5W7jbuDO3j7cftue2z7antme2J7X/te+1r7ULtAuzC7KDsouyy7Kvse+w16/7r8ewB7Ajr6eux64vrnOvg7CfsOewB65brJerN6obqNOnC6TbopOgc55vnF+aP5hrl4OX+5nbnI+fP6Ejod+hn6DvoG+gd6D/obuiT6Kvowujn6RrpSeld6UvpI+j/6PXpAOkH6O3oqehO6ADn3uf36ELop+kP6Wnprung6gTqJOpD6mjqkOq66t/q/usW6yzrROti64frr+vY6/zsFewj7C/sRexv7LDs/+1J7YHtpO267dLt8u4b7kXubu6Z7srvA+8973Pvo+/R8ATwPPB58LXw8fEu8WzxqvHj8hfyS/KG8szzHfNz8830KfSH9OX1PfWJ9c32DfZT9qD28/dH9533+fhf+M75Q/m4+ir6lvr5+1T7qvwC/GL8yv03/Z399P44/m7+nP7K/vz/MP9j/5P/wf/uAB8AUwCJALsA6QEUAUIBdwGzAfICLwJmApoCzgMLA1YDrQQKBGIEsQT6BUYFmgXyBkEGgQa6Bv0HUweyB/kIDgf2B9gH5gg2CLUJNgmTCcUJ3wn0CgQKBAnqCcAJnAmLCY0JlgmZCZkJnAmlCbAJuQnECeAKEQpRCocKoAqaCoIKawpdClUKTApDCkMKUQpsCoYKmQqmCrcK1gsDCzYLZAuLC60LywvlC/YMAgwNDCEMPgxcDG8McQxhDEgMKgwLC+4L2QvRC9oL7QwBDA0MFAwZDB8MGAvwC5MK8goJCNgHYwW3A/UCSADf/9b/Mf7i/tn/DP93ABIAzAGNAkAC2wNcA8MEEwRPBHkEmQSyBMMExwS/BKwEkgR1BFQELgQDA9kDsQOLA2QDNwMFAtICoQJyAkICEAHgAbgBmwGFAW0BTAEfAO4AwACYAHAAQgAQ/9//uP+d/4j/b/9M/yP++/7Z/rv+nP59/mL+T/5C/jX+JP4S/gb9/v3s/cb9iv1I/Q/83fyd/EP75fu2++X8a/0C/Uz9E/x2+8v7avtw+7v8EPxN/HH8jPym/LX8qfyC/E38HvwB+/j8APwa/ET8cPyR/J78mvyT/Jf8ovyt/K78pvyg/KT8s/zF/NX83vzi/OP84fzi/On89f0D/Qr9Bvz8/PT89/0E/RP9Hv0l/S79Pf1Q/WL9b/15/YX9lP2i/av9rf2p/af9q/20/b79xf3I/cj9x/3H/cr9z/3X/eP98v4D/hT+Iv4t/jT+OP46/jn+N/4x/iv+Jv4m/in+Lv4w/iz+Jf4e/hv+GP4S/gb99P3i/dT9y/3G/cH9vP24/bX9s/2x/av9o/2X/Yn9ev1q/Vj9RP0w/R39DPz9/O/84fzT/MT8tPyk/JP8gfxt/Fb8Pfwi/An78PvX+777pPuL+3L7XPtK+zr7LPsd+wv69PrZ+r36ovqJ+nH6Vfo3+hj5+fnd+cL5p/mL+XD5Vvk9+Sb5D/j4+OT40Pi9+Kf4kfh6+Gf4VvhE+C74FPf59+D3y/e396P3j/d592T3Tfc09xj2+fbX9rX2kvZx9lP2OvYj9gv18PXU9br1pfWT9YP1c/Vh9VD1QPUu9Rr1BPTv9N30z/TB9LH0ovSY9Jb0l/SX9JL0jfSP9Jj0o/Sn9KD0lvST9J70s/TI9NP01/Ta9OD06vT19P71CfUY9SX1LPUr9SX1JfUr9S31HvT49Mn0qPSp9NL1HPV99e/2afbc9zD3VPdN9zn3O/dm96739/go+D/4TPhj+Ir4uPjh+P35C/kT+Rv5Jfkz+UT5VPlc+Vr5UflL+VT5b/mY+cb58/oi+ln6m/rg+x/7Tvtv+4P7kPuY+577ovum+6v7s/u++9P79vwo/GL8l/y+/Nj86vzy/OL8pfwv+5f7D/rT+v77ePv5/DT8A/t8+uH6cfpI+lD6X/pc+k/6VfqB+sT68vri+on6Afl6+RH4yviO+Ef37veP9zj28va49ob2XvZE9jn2NfYt9hv2BPXz9e/18fXv9eT11PXI9cT1wvW29Z31evVZ9UD1LPUS9PD0zPS09Kz0rPSi9Ib0XfQ39CD0E/P/89DzgvMm8s7yifJS8iDx7PG88Z/xnfGx8cvx3fHj8eXx6vH28gXyFfIt8lPyi/LG8vHy9/LV8pvyX/I08iHyIPIn8izyKPIY8f/x4fHI8bvxvPHJ8djx4PHZ8cLxpPGJ8XrxevGC8YvxkfGX8aPxufHW8fDyBvIb8jvybPKu8vnzRvOZ8/H0SPSL9Kf0mvR59Gb0efSu9On1EfUb9RX1E/Uf9TL1Q/VO9V/1fPWm9c315vXw9fj2DfYz9mD2hvae9qz2u/bO9uH26/bq9uL22/bZ9tz23/bh9uX28/cK9yr3T/d696v34PgW+EX4afiD+J34wfj0+Tn5jfns+kv6nvrZ+vf6/vr7+wD7FPsy+1P7dfuY+8X7/vw8/Hn8rPzW/QD9MP1q/bD+Av5f/sv/Rf/OAGUBBAGkAjwCwwM6A6IEAARYBKoE+wVRBbAGFAZtBqUGsQaeBocGigazBvcHQgeGB8MIAQhJCJgI5QkoCV8Jjgm7CekKGApLCoQKwwsGC0gLiAvJDA8MWgyjDOMNGA1IDXkNsw30DjcOeQ65DvkPOw+CD8wQGhBqELcQ/xE/EXkRshHuEi4SbhKsEugTJRNjE6ET3BQSFEQUcxShFMwU9RUgFVIVjxXTFhYWUxaIFrkW7BchF1MXgBemF8wX9xgpGFoYhhiqGMYY3RjvGPkY+BjvGOQY3RjfGOcY8Rj4GPYY6xjbGMsYvBixGKgYnBiMGHwYcRhvGHUYehhzGFgYKxf3F8kXqBeUF4IXZRc5FwIWzhasFqQWrxbAFssW0BbTFtgW2hbFFowWMBXGFW8VQRVAFVoVehWRFZoVlBV+FVEVDhS7FGUUFBPIE3sTLBLjEqoShhJxEmQSYxJ9EsITLxOqFAwUOhQyFAoT2ROsE30TRBMBEsESlBKLEqgS4hMkE1UTXBMtEtESZRIPEecR8hIeElUSiRK3EuETAhMWExgTChL4EuwS7hL5ExETHhMnEyoTLRM3E0wTbBOUE78T6BQIFBYUDxP1E9MTthOjE5sTlhOTE5UTohO8E9cT4hPRE6UTbBM0EwESzBKLEj8R+hHSEdUR/RIxElgSYxJWEkASLRIbEgIR2hGhEV4RGRDWEJkQaRBOEEwQYBB8EJMQoBCnELIQyBDkEQIRHhE9EWARhhGoEcER0hHkEf0SHRI3EkISOhInEhQSAxHxEdYRrxGBEVcRNxEfEQcQ6RDCEJIQXxArD/sP0w+zD50Pig9yD1MPLg8LDu4O2A7GDrQOoA6MDnYOXQ48DhEN3w2nDWsNKwzoDKsMgAxqDF8MRwwOC7ELPgrKCmIKAgmhCTgI0Ah5CD0IFwf1B8YHhQc7BvsG1AbLBtgG7Qb9BwAG8wbXBqcGYQYIBagFVAUbBQcFGAVSBbkGTQcEB8AIXwjECOoI4gjDCKAIfghZCCwH8QedBx4GawWIBJEDqgLvAmIB8wGJARcAnAAk/7P/SP7e/nL+Df25/Xv9UP0v/RH88vzV/Lz8pPyG/GH8NvwO++370fu0+5H7bftQ+z77Mfsa+u36qPpY+g350fmm+YT5ZflH+Sr5Cvjm+Lf4ffg69/L3qPde9xb2zvaJ9kb2CfXV9ar1hvVi9Tn1DfTj9MP0rvSa9Hn0RPQB87/zifNm80vzMPMM8t/yrvJ78kfyEvHf8bHxi/Fs8U/xMPEO8Ojww/Ck8JHwj/Ch8Mbw9/Ep8UrxTfEu8PLwqvBo8DbwEe/x783vo+9571DvKe8A7tjuue6q7q3uuO6/7r7uue677s3u6u8H7xXvCe7f7pvuSe347b3toO2b7Z3tl+2D7WbtR+0j7PPsuOyC7GbsbOyC7Insa+wy6/fr1OvF67Trj+tf60jraOu97CXsdeyZ7Jzsk+yI7G/sM+vL60LqqeoL6WDopefk50Lm7ucF54PoPOjz6XHpm+l66Tbo+ejc6N3o5+jm6NXox+jO6O/pHelC6VHpVelk6YzpxOnv6ezpqOku6JvoGefL58ToAOht6OvpX+m16erqBeoW6irqSupx6pfqs+rD6svq1+ry6yLrY+uq6+zsH+w/7FXsa+yQ7MjtEO1a7Zvtze307hjuPO5d7nnuku6t7tTvCO9A73fvp+/T8AHwMvBm8Jjwy/ED8T/xf/G98fryPPKH8t/zO/OW8+30QvSb9PT1SPWQ9c32CPZK9pn28PdK96P4APhj+NH5Rfm7+i/6n/sI+2r7yPwm/Iz8+v1r/dL+Jf5g/of+pv7I/vT/Kf9g/5P/wf/tABsATwCIAMEA9gEqAV8BmQHXAhMCSQJ7AqwC5AMnA3YDzwQrBIQE1gUlBXcF0QYvBoYG0QcWB2MHvwgdCGAIcQhTCC8IMwh5CPAJbQnNCgcKKQpBCksKPQoUCeAJugmuCbQJtgmoCZAJggmJCaAJvAnWCfQKGwpICm0KegpvClcKQwo4CjUKMgoyCjwKVgp8CqEKuwrICtUK7QsVC0cLeguoC9AL8gwPDCQMMwxADFIMagyBDIwMhwx3DGUMVwxNDEAMMwwrDDMMTAxpDHoMbwxEC/oLkAr+CjkJOQgABpgFDgN5AfgAsv/J/1H/Qf+B//IAgQEiAdACfgMeA6MECQRUBIwEswTOBN4E5gTnBN8EzASyBJYEewRkBEsEKgQAA9EDoQN0A0cDFwLjArACfwJQAiEB7wHAAZcBeQFiAUgBIwDyAL0AjwBpAEgAIP/v/73/lP94/2L/Rv8e/u/+yP6v/p7+if5q/kn+Mf4m/iL+GP4F/fD94P3R/bf9h/1H/Qb8yvyL/D/78vvH++b8T/zL/Qv83fxT+7n7XPtb+5778/w3/GL8gfyY/KP8mfx7/FH8Jvv++9/70/vj/A/8R/xy/IP8f/x3/Hn8g/yK/Ib8ffx4/H/8kPyh/K38tfy4/Ln8tfyx/LP8v/zQ/Nz82/zR/Mf8yfzX/On89/z//Qj9F/0q/Tv9Rf1J/U/9Wv1q/Xf9ff1+/X/9g/2L/ZP9l/2X/Zb9lv2Z/Z/9pv2v/bf9wP3L/dn95/30/f3+Av4D/gH9/v35/fP97v3s/e798v3z/e/96f3k/eH94P3b/dH9wP2t/Zv9jf2C/Xv9df1z/XL9c/1x/W39ZP1Z/U39QP0x/R/9DPz4/OX80/zF/Lf8qvye/JH8g/x1/GX8U/w9/CP8Bvvo+837tPuc+4T7avtS+zz7Kvsc+xH7Bfr4+uX6zfqw+pL6dvpe+kf6LvoR+fH50/m3+Z35g/lm+Uj5K/kQ+Pf43/jJ+LX4o/iT+IH4bPhX+EL4L/ga+AP36vfS9733rPea94b3b/dW9z/3KPcQ9vX22Pa69pz2fvZh9kX2KvYP9fP11fW29Zj1gPVu9WD1U/VE9TX1I/UP9Pj04fTM9Lz0sPSk9JT0hfR59HX0d/R59Hb0cPRu9HP0fPSC9ID0evR39H/0jfSb9KP0pfSo9K70t/S99MD0x/TV9On0+vUC9QD0/fT+9P/09fTY9K/0ifR99Jj02fU69bP2Nfau9wj3Nvc+9zn3Q/dt96/39Pgo+Ef4Wvht+If4pvjF+N/48vj++QL5BfkM+R35M/lH+VD5TflI+U35Y/mH+bP55Poa+lf6mfra+xD7OftW+2n7c/t0+2/7afto+2/7fPuR+6771vwI/D78b/yX/Lf80/zn/OH8q/w6+6P7FfrI+tb7LfuU+8r7rvtN+tb6fPpU+kz6R/ox+hX6EPo1+nj6r/qx+mv59fl4+RX40/ic+Fn4Afed9z326vaj9mP2LfYI9fb18fXu9eP11PXK9cj1y/XK9b/1sfWp9av1sPWp9ZL1b/VR9T31L/UY9PT0yPSl9JT0kPSL9Hf0WPQ49CT0GPQD89Tzh/Mr8tLyifJR8iHx9fHS8cLxyfHe8fPx/fH78ffx+fID8hPyJvJA8mjynvLY8wTzD/L08r/yhPJV8jzyOPJA8kfyQ/Ix8hXx9/Hj8dvx3/Hn8ezx5vHV8bnxmfF+8W7xa/Fw8XbxefF88YfxnPG68dfx8PIL8jDyY/Kj8unzNfON8/D0UfSX9Kv0kPRl9FH0bfSs9O/1FvUc9RL1DvUZ9Sv1PPVM9WP1ivW39dr16fXq9e/2CPYy9l/2ffaK9pL2oPa59tH23PbW9sj2vPa89sX20Pba9ub2+vcY9z73Z/eS97737fgd+Er4b/iQ+LL43fkX+V/5svoJ+lv6m/q++sD6p/qE+mn6Yfpu+ov6tvrx+z/7m/v9/Fb8nvzW/QX9Mf1c/Yj9uP3z/kT+sf84/9QAfAEkAcYCWQLcA1ADuAQYBHQEzwUtBY4F7AY7Bm0GfQZ3BnAGgAatBu0HLgdmB5gHzAgKCFEImQjaCRMJRwl3CaYJ1AoHCkMKiwrYCyILZAuhC+EMKgx5DMcNCw1DDXYNqg3kDiMOZQ6lDuQPIw9mD64P+xBMEJ0Q6REtEWsRoxHbEhISShKEEsITBhNOE5UT1RQLFDoUZRSSFL8U7BUaFU0ViBXIFggWRBZ5FqsW3hcSF0QXcxefF8wX/xgyGGEYhhihGLYYxxjUGNsY2RjQGMcYwhjEGMsY0hjUGNEYxxi5GKoYnhiWGJIYkBiNGIcYfhhxGGIYThg3GB0X/xffF74Xnhd+F10XORcPFuQWwBavFrYWzhbqFv0XAhb8Fu8W1xasFmYWDBWyFXEVVhVcFW8VfhWEFYQVgBVyFU8VEBS+FGsUIxPkE6QTXhMYEuASxBLFEt0TBBM6E4IT2RQzFIEUthTXFOwU+BT4FOEUsRRyFDYUDhQCFA4UKBQ/FEMUJhPgE3wTERK5EoQScRJ1En8SjRKgEr8S5RMKEyETJBMXEwcS/xMEEzgTRBNIE0ATMhMpEy4TQhNiE4cTqhPDE88TyRO5E6cTnRObE5gTjhN+E3YTghObE60TnBNgEwsSuRKBEmASQxIaEekRxRHFEfASNBJzEpYSmxKREooSjBKTEpESfRJWEiER5RGhEVcRDRDMEKIQkxCZEKYQrBCrEKkQsRDFEOEQ/RETER4RIxElES0RPxFhEZERxhH3EhgSJxIqEicSIxIbEgwR7xHEEY4RVxEnEQUQ8BDlENYQuhCLEE0QDw/cD7wPqA+VD3oPVw80DxoPDQ8HDv8O7w7WDrcOlA5sDj0OAw2+DWoNCgymDEwMDwvyC+sL4Au8C3oLJgrQCn4KLQnRCWkJAQikCFoIHgfnB68HewdRBzYHKgcpBywHMQc3Bz4HRAdEBzUHDAbEBmUF/gWfBVYFKwUnBVYFwgZpBzUIAgipCRgJUQlmCWUJVgk5CRAI1wiICBEHZQaCBX4EgAOsAw0ClgIqAbMBKwCdABX/mf8k/rP+Rv3k/ZX9W/0y/RL8+Pzh/M78vfyo/Ir8ZfxA/B78APvh+737lvtz+1j7Q/sn+vr6uvps+h752Pmd+W35Rvkn+Q749/jZ+LL4fvhC+AH3u/dy9yX21vaK9kT2CPXX9bH1kPVu9Uf1HPT09Nf0w/Su9Iv0VvQU89DzmfNx81TzOfMZ8vLywvKM8lPyG/Hn8bjxjvFk8TzxFfDx8NDwr/CM8GrwT/BE8E7wbPCU8LnwzvDL8LbwmvB/8GnwTvAk7+rvqu9171PvPu8q7w7u7e7Q7r7ut+6y7q/ute7O7vzvMu9c72vvWO8m7tzuhO4x7fXt4O3u7gnuF+4K7eXttu2I7VvtK+z87Nzs1uzm7Pjs9uzZ7Knsc+w46/Trp+th6z3rTuuP6+jsPeyD7MLtAO077WDtWu0k7MfsUOvB6xjqVemH6M7oUOgj6EbooekN6WTpkOmR6XnpXulP6UTpLOj86LnoeehU6Fjoe+is6ODpF+lZ6azqB+pW6n/qbOoX6Yzo6uhY5/3n8ug16KvpMOme6eTqAuoK6hHqJ+pL6nLqjuqX6pbqm+q66vnrUOuv7ALsQOxo7ILsmey27N3tDu1G7X7ttO3q7h/uUO557pburO7C7uHvDO8872vvlu/C7/HwI/BU8IHwr/Dj8SPxa/G08f7yS/Kg8v3zW/O09Ab0V/Ss9QX1WPWe9dj2D/ZQ9qD2+vdX97H4Dvhw+Nv5TPnA+jT6pvsX+4P76/xR/Lr9Kf2X/fr+Sf5+/qH+vf7e/wn/Pf90/6b/0//9ACsAXwCYANEBCAE/AXkBtwH1Ai8CYwKUAskDBgNMA5kD7gRIBKUFAQVZBa8GCAZjBr4HEwdiB7UIEAhqCKkIuQibCHIIbgipCRYJkAnxCi4KUQpnCmwKWQosCfsJ3gnfCe0J7gnSCaYJhgmJCa0J3woLCiwKRQpYCmEKWgpECicKEwoNChQKIAoxCkkKbAqZCsQK4QrvCvcLBgsnC1sLmgvcDBcMRgxiDGkMYgxXDFcMaAyADIwMggxkDEUMNwxADFQMYwxqDG0MdQx8DG4MMgu9CxEKOgk/CCMG6AWTBDUC5AG2AMIAHP/U/+oATwDnAZQCQALkA3oD/QRmBLAE3gT5BQsFFwUdBRwFEQT/BOUExgSkBIYEbQRYBD8EGgPrA7cDhgNaAzADAALJAo4CVgIkAfgBzwGlAX4BWgE7ARsA9gDKAJsAbwBHACL/+f/J/5r/c/9W/z3/G/7t/rv+lP6A/nb+Z/5L/ir+E/4M/g3+Bf3u/dL9v/23/an9hP1F/Pv8tfx2/Dn8Avvp/A78b/zf/RX84/xZ+777W/tS+4/74vwn/FX8dPyI/I/8hPxs/Ev8J/v++9T7uPu7++H8G/xO/Gj8avxk/GP8Zvxl/Fv8UfxS/F/8cPx8/ID8gvyF/In8iPyD/IL8i/yd/Kz8sPyp/KH8pPyz/Mb80/za/OH87fz8/Qn9Dv0O/RL9Hf0t/Tz9Rv1L/VH9Wf1k/W39c/10/XP9cv10/Xn9gP2H/Yz9kP2V/Z39qP20/b39wf3C/cD9v/29/br9t/22/bj9u/27/bj9sP2o/aL9n/2b/ZP9h/12/WT9VP1F/Tr9NP0y/TP9Nf00/S/9Jv0c/RH9Bvz5/Oj81vzD/LH8ofyT/Ib8efxt/GD8UvxD/DL8HvwI++37z/uy+5n7g/tw+1z7SPs0+yH7EvsF+vn66/rb+sb6rfqO+m76T/o1+h36Bfnq+cz5rvmS+Xj5XvlC+SX5Cfjv+NX4vfik+I/4ffht+Fz4Sfgz+Bz4Bvfx99r3xPev95/3kPd/92j3Tfcw9xX2/fbl9sv2sPaU9nz2ZPZL9jH2FfX59dz1vvWe9X71YvVM9Tz1L/Uh9RL1APTt9Nf0wPSr9Jr0jvSE9Hr0bvRj9F70XfRe9Fz0WPRT9FL0VfRX9Fj0V/RZ9GD0a/R19Hr0ffSD9Iz0lfSX9JT0k/Sd9LH0x/TV9Nb00fTQ9NP0z/S79JP0Z/RQ9GL0pvUU9Zv2Jfad9vD3G/co9y33QPdr96b34vgS+DT4TPhg+HL4hfiZ+K/4xfjW+OH45/jx+QP5Hvk6+U35Vvlb+WT5dvmR+bT53/oT+k76iPq5+t76+fsR+yj7OvtB+z77OPs4+0P7Wvt6+577xPvr/BD8MfxU/H38q/zO/Mn8hfwC+2D61fqP+p365/s6+2b7VvsV+sb6hfpd+kb6LfoN+fH56/oG+jb6W/pV+hr5vflc+RD43Piu+HL4IvfG92z3GvbP9of2RPYO9ev11/XK9br1qPWc9Zv1ovWo9aj1pPWh9aL1ofWU9Xj1VfU39SL1EfT59Nf0s/Sb9JL0j/SE9Gn0Q/Qk9BX0EfQD89nzj/M08tvylfJh8jryGfID8fvyA/IR8hzyG/IT8g7yE/Ii8jfyS/Ji8oHyq/La8wDzEvMI8ufyufKM8mvyWvJW8lfyVPJF8izyEfH98fPx8fHv8ejx2vHG8a7xlvGB8XbxdvF98YXxivGO8ZfxqPG/8dbx7fIK8jHyZPKe8tjzGPNm88X0JfRp9Hv0YfQ89Db0YvSw9Pj1HfUe9RH1DvUc9TP1RvVY9W/1kvW39dH12PXV9dr19PYd9kP2XPZm9nH2hvai9rb2t/al9o/2hfaQ9qr2x/bi9vr3F/c792P3jPew99P39vgc+EH4ZPiE+Kb4z/kD+T/5f/m7+ez6DfoW+gf55/nD+av5qfnB+e/6MvqK+vT7avvd/EH8jvzI/PX9G/08/Vn9d/2i/eb+Sf7I/1z/+gCdAT4B2AJnAusDZAPWBEMErAURBXMFzQYaBlEGcAZ9BocGnAbEBvcHKgdVB3sHpAfVCA8ITQiJCMMI+wkxCWUJlwnOCg8KXAqvCv4LQQt9C7kL/gxPDKMM8Q00DW4NpQ3eDhkOVg6VDtMPFA9XD5wP5hA0EIYQ1hEgEWERlxHHEfcSKhJjEqUS7BM2E30TvBPyFCEUTRR6FKcU1RUFFToVdhW4FfoWNxZuFqAW0hcFFzgXaxedF9EYBRg1GF4YfRiSGKEYrRi0GLUYsBioGKQYpBioGK0YsBiwGK0YpxidGJAYgRh0GGwYaxhvGHQYdBhoGE8YKxgGF+kX1RfFF68XjBdeFy0XAhbhFs0WxBbHFtYW7BcAFwcXABbsFs8WqhZ5FjoV8hWxFYQVbhVkFVYVPhUkFRMVDxUNFP4U2RSqFIIUbhRmFFYUKxPnE54TaRNcE3kTtRP/FEkUixS/FOoVFBVEFXsVqxXEFbsVlxVnFT8VJhUaFRQVCxT9FOUUvhSDFDcT5hOeE2UTPBMaEvsS4hLaEucTCRM0E1cTZRNeE0kTNhMwE7QTvxPAE68TkhN1E2YTZRNuE3sThxORE5YTlBONE4cTiROOE4oTdxNaE0UTRBNPE00TJBLUEnkSNBIVEg0SABHjEcIRuhHfEisSfxK9EtgS2BLREtES2xLlEucS2hLAEp4SdxJIEgwRwBFrERoQ3RC9ELUQuRC7ELcQshC3EMkQ4RD1EPoQ8BDfENYQ3xD7ESYRVxGHEbER0xHtEgISEBIXEhMR/BHTEZkRWxEoEQwRBxEPERQRBRDfEKYQaRA3EBcQAw/xD9YPsA+ID2YPTw9ADzAPFw71DswOog51DkEOAA2rDUEMxwxMC+QLoguJC4wLjwuAC1gLIQrkCqIKVQn4CZIJLwjbCJYIVggYB90HrweTB4gHggd5B20HYwdhB2sHfgeTB50HkgdmBxsGuQZRBfAFoQVsBV4FhgXwBpEHUAgICJ8JDAlVCYIJlwmTCXkJSgkICKsIJgdzBp0FwQT+BGQD6gN4AvMCVQGpAQUAdf/5/4P/Cf6M/hX9s/1q/Tj9Ffz8/Of81PzA/Kj8i/xr/Ez8L/wS+/H7yvuh+3r7VPss+v76xfqD+jv58vmq+Wj5M/kM+PH42vi++Jj4afg09/v3vfd49yv23PaR9k32EvXi9bv1m/V89Vz1OvUY9Pv04fTF9J/0bPQv8/Lzu/OQ82/zVvM98x/y9vLA8oPyRvIN8djxovFp8TDw/vDY8Lvwn/B88FDwIu/87+Tv3u/m7/XwB/AZ8CzwRfBj8Hzwf/Bd8Bjvxu+E72PvXu9j713vRu8n7wXu5O7E7qnuoO6z7uHvGO9D71XvUu9A7ybvA+7f7sbuxu7g7wPvE+8B7s/uku5b7irt9+2/7YntZO1Z7WTtdO167WvtRe0H7LTsWOwK697r2+v17BXsLexC7Gfsp+z/7VTtje2a7XftLuzG7Ebrs+sS6mzpxukr6KfoSOgY6BToMOhZ6IPopei76Lzon+hh6A/nwOeM53/nmOfL6A7oWuiv6QzpbunQ6ibqYOpo6i/puOkj6JzoUOhU6J/pEemA6dHp+uoG6grqGuo66mDqfOqF6oHqh+qq6vDrTOun6+/sIexC7F/sfOyc7Lzs2+z97SXtV+2T7dfuG+5Z7onure7L7urvDe8x71Tveu+m79rwE/BI8HfwpfDc8SLxdfHL8h7yb/LC8xnzcPPB9A70XPSy9Qz1YvWr9en2I/Zo9rn3Efds98X4IviH+PT5ZPnW+kn6vvs2+6v8HPyH/PD9Wv3D/iH+bf6k/sr+6v8N/zf/Z/+Y/8b/8gAfAFAAhQC9APQBKAFdAZYB0QIMAkMCdwKsAucDKANuA7cECQRoBNIFPgWhBfgGTAajBv8HVwelB+sIMQh3CK4IxAi1CJoImwjSCTcJpQn5CiQKNQo7CjsKMAoWCf0J9woNCiwKOQoiCfUJ0QnPCfMKJwpRCmUKZgpcCk0KNwocCgMJ9wn+ChYKNApTCnEKkwq7CuULBAsUCxgLIAs6C3ELwAwaDG4MqwzFDLgMjAxWDDUMOgxbDHkMdQxFDAIL1AvWC/4MLgxHDD8MHAvmC5QLFApYCWUITAcfBeoEsQN+AmMBeQDWAIMAgADHAUgB7gKhA0sD4ARcBMIFEgVHBWIFZwVhBVkFUQVHBTgFIwUIBOoEyQSoBIkEbQRPBCoD+wPEA44DYAM6AxMC4wKpAmgCKwH4AdABrAGHAV0BMgEIAOQAxACjAH8AVQAp//r/y/+d/3H/S/8s/w7+6/6//pD+a/5V/kr+O/4j/gf99v3z/fX96v3P/a79mv2V/Y/9cv04/O78qPxp/Cv78vvX+/v8Y/zf/SX8/vx3+9T7ZftQ+4L7z/wT/EL8ZPx6/ID8c/xY/Dn8Gfvz+8f7ofuV+6/75fwe/EP8UfxS/E/8SvxA/DL8K/wy/ET8Vfxb/Fb8UfxU/Fv8X/xe/F38Zfx1/IX8i/yG/ID8g/yP/Jz8pfyp/K78t/zB/Mb8xvzG/Mz82/zu/P39CP0R/R79L/1D/VT9Xf1g/V79Wv1X/Vb9V/1b/WD9Y/1m/Wv9cv16/YD9g/2C/YH9gf2B/YH9gf2B/YT9h/2H/YP9ev1v/Wb9X/1a/VP9Sf08/Sz9Hf0P/QX8//z+/P/9APz+/Pj88Pzn/N780/zG/LX8ovyP/H78bvxg/FP8R/w7/C78IPwQ+//77PvY+8H7qfuQ+3v7afta+0z7O/sp+xj7B/r1+uP6z/q6+qP6i/pu+k76LvoQ+fb53vnD+aX5hvlp+U75NPkZ+P/45vjP+Lf4nfiD+Gv4VvhE+DH4G/gD9+v31vfC9673mveH93f3afdY90D3JPcG9uv20/a79qD2g/Zo9lL2PfYn9g318vXY9b/1pfWI9Wj1SfUw9Rz1C/T79Oj01vTE9LL0nvSK9Hf0afRh9Fv0VvRO9Ej0Q/RC9EH0P/Q79Df0NfQz9DL0M/Q49EH0S/RT9Fj0XfRn9HT0f/SC9H30efR+9I/0pPSx9LP0sPSy9Lv0v/Su9IX0U/Q09EX0k/US9af2M/ae9t329/cB9w73Lfdf95f3yvfx+BD4LPhF+Fv4bPh6+Ir4n/i1+Mr42/jq+P75Fvkx+Uv5Y/l4+Y35nvmt+bz50/n3+iX6U/p4+pH6p/rA+t/6+/sM+xH7EvsZ+yv7Sftv+5f7vfvb++37+fwN/Db8c/ys/Lj8ePvu+0T6t/p1+oX6x/sK+yv7Ifr5+sn6nPpz+kv6JPoF+fn6AvoZ+i36K/oH+cf5ffk6+Qn45vjC+JH4TvgC97f3cPcr9uP2mvZX9iL1+/Xa9br1nfWI9YT1jvWf9az1sfWv9af1mPWA9WD1PfUb9Pz02/S59Jz0jvST9KD0ofSG9FL0G/P48/X0AfQC8+HznfNG8vTytPKH8mfyTfI78jXyOvJB8kHyN/Iq8iTyLfJC8lzyc/KH8pvysvLM8uTy9PL68vLy3fK+8prye/Jl8lnyUfJG8jPyHvIK8fzx8vHn8drxy/G78azxnfGR8YzxkvGg8bLxwfHL8dTx3vHo8fPyBPIg8kvygPK08uLzDvNF843z2fQO9Bv0BvPz9Af0S/Sp9Pj1G/UY9Qn1CfUc9Tr1U/Vn9Xv1kvWp9bf1uPW29b711/X59hb2K/Y79lH2cPaN9pj2i/Zv9lf2WPZ09qL20fb59xr3Ovdd94H3ofe698/35ff/+Bv4NPhJ+Fz4c/iS+Lf43/kB+Rf5Ifke+RH5Afj3+Pv5FPlE+Yr54/pN+sb7RPu6/Bz8Zvyb/MP85f0C/R39Ov1k/aP9/f5u/vH/fwAWALIBUAHpAnsDBwONBAsEfgTkBT8FlAXkBiwGYwaIBqAGtgbUBvkHHwc/B1sHeAecB8sIAQg7CHYIswjvCSsJZQmiCecKNQqHCtQLGAtVC5IL1wwlDHcMxQ0KDUgNgw29DfgONA51DrwPBQ9PD5YP3BAkEHIQwhEPEVERhBGwEdwSDxJMEo8S1RMYE1kTlRPME/4ULBRZFIcUtxTqFSMVYxWmFegWJhZdFpAWwhb2FywXYxeaF9AYARgsGE0YZxh4GIQYixiKGIUYfhh5GHsYgBiGGIkYiBiHGIUYghh8GHAYXxhLGDsYMxg1GEEYTBhMGDgYERfkF78XqhedF4kXYhcpFu4WwhavFrQWxhbaFukW8BbtFt4WxBakFoMWYBY6Fg8V4RW1FY8VbRVEFQ0UzBSRFGwUYRRmFGsUaxRvFIkUvRT8FSQVGxTcFH4UJxP5FAQUPxSUFOUVHhU9FU8VZxWSFcoV+hYQFgUV5xXKFbsVthWwFaAVhhVrFVQVOxUaFOsUshR3FD0UBxPRE5wTcBNUE04TYBOBE6UTvhPFE7wTsBOsFFsUbRRxFGEUQRQdE/8T6BPRE7gToROPE4QTexNxE2oTaBNoE14TQhMZEvUS4BLVEr0SihJDEgQR5xHsEfkR9RHeEdAR6RIwEowS1xL8Ev8S9xL1EwATDhMVExETBhL4EukS2xLIEqYSaBILEZgRKRDbELoQvxDOENQQzBDBEMQQ2BDzEQMQ/RDnEM0QuxC3EL8Q0BDrERARPhFwEZ4RwxHZEdsRxhGcEWYRMhETEQ4RHxE1EUAROBEdEPcQzhCpEIkQbhBVEDcQEw/qD78PmA91D1IPKw8ADtIOpQ53Dj4N9A2QDRYMjwwSC7QLgQt2C38LhAt1C1ELIQrsCq4KYAoACZsJQgj/CMsImghkCDEIDQf9B/kH8gffB8QHqgebB5oHpge5B8wH1QfIB58HWgcGBq0GWQYOBdYFwgXgBjQGrwc5B7kIJwiBCMsJAQkdCRwJAwjdCK4IbwgXB6EHGAaNBhIFpAUyBKgD/gNCAosB7gFnAOEASP+X/uD+P/3J/YH9V/04/Rn89/zW/Lf8m/x//GT8S/wy/Bb79PvL+5z7avs3+wb61Pqe+mD6F/nG+XX5Mfj++Nr4vfib+HL4QvgR9933pfdm9yH22/aZ9lz2JvX09cr1qPWP9Xv1ZvVN9S/1DPTl9Lf0hPRN9BTz3/Ox847zd/Nn81bzN/MI8szyjPJP8hPx0/GN8UbxCPDY8LPwj/Bl8DPwAO/R76nviO9v72HvYO9u74/vxfAL8FTwhvCM8GLwHO/a77fvte/G79bv2e/O77Xvje9X7xzu8u7m7vrvHO8570zvXe9475zvvu/S79nv3e/o7/Lv6+/K75HvUu8Y7uLuqO5j7h3t5O3F7cDtzO3c7ebt4O3D7YztR+0I7OHs0+zM7LXshuxQ7DTsTOyZ7QLtXu2M7X7tPOze7IDsLOvb62/qyenh6M/nyecE5p7mjua35vTnLOdS52LnWuc85xHm5+bM5sbm1eb45yvnaeeu5/foSeiq6R/pm+n/6inqB+mk6Sjoxeie6LjpAulb6abp1Onm6ezp9+oR6jPqUOpf6mXqc+qa6tvrJ+to65Lrq+vF6+rsG+xO7Hjsluyt7Mfs7+0o7XDtwu4T7lvulO7C7ubvBu8j7z7vX++K78Hv/fA38GrwnvDd8S3xivHo8kDykPLe8y3zfPPI9BL0XvSx9Qv1ZPW09fv2QfaM9t73NPeK9+L4QPip+Rr5jfn++nH66ftl++D8Uvy8/SL9iP3v/k7+nP7X/wL/Jf9H/2v/kf+6/+YAFQBJAIAAugDyAScBWQGKAbwB8AIiAlMChQK9Av0DQQOGA88EJgSRBQwFhwXyBksGnQb3B1kHswf0CBoINQhWCIAIoQiuCLEIxQkBCWAJvQn3CgAJ7QnZCdUJ2gngCeYJ9goZCkMKXwpdCkQKLAoqCkMKZAp4CnQKXwpECi0KHAoNCgUKCQodCj8KZQqFCp0KtQrUCvoLHQsyCzkLQAtcC5kL8wxbDLkM+w0RDPIMoww9C+4L2gwBDDsMTAwSC58LLwr6Cw0LQgthC0kK+Ap/CeoJNQhXB1UGPwUpBB4DIwJCAYsBFwD0ASMBlAIxAuQDlwQ5BL0FIAVnBZkFugXKBccFtwWhBYoFdQVfBUYFKwUOBPEE0gSxBI0EZwQ9BAwD1AOZA2MDNgMPAuUCtAJ6Aj4CBgHYAbABiwFjATUBBADVAK4AkQB5AFwANAAF/9P/o/94/0//Jv8A/t3+vP6Y/nP+Uv44/ib+FP4A/ev93/3d/dv9zv2x/ZD9ev1z/Wn9Tf0b/N78pPxn/Bv7x/uQ+6j8HPy8/Sv9Ivyh+/H7a/tA+2T7qfvr/B/8Svxr/Hj8bPxN/Cv8Dfvt+8P7lvt6+4H7qvvi/BH8LPw3/Dj8Mvwk/BX8D/wX/Cr8Ovw9/Db8L/ww/Df8Pfw9/D/8SPxW/GT8Z/xi/Fv8W/xh/Gf8avxt/HP8fPyC/IL8ffx7/IT8lvyr/Lr8xvzT/Oj9BP0h/Tf9Q/1H/UX9P/04/TL9L/0w/TX9Of09/UD9Rf1J/U39T/1O/U39Tf1N/U79T/1S/Vb9Wf1Y/VH9R/07/TH9Kv0k/Rz9Ef0D/PT86Pzf/Nr82fzY/Nf81PzP/Mj8wPy4/LH8p/yZ/Ij8c/xf/Ez8O/ws/B38EPwE+/n77vvg+9D7wfuy+6L7kft++2z7XPtP+0L7M/sg+wv69frc+sL6p/qO+nf6YfpJ+iz6DPns+dD5tfmZ+Xz5XPk++SL5CPjw+Nf4wPiq+JL4ePhe+ET4Lvga+AT37PfS97r3p/eX94X3cfdc90n3OPcm9xD29vbb9sL2q/aS9nX2VvY69iP2D/X69eH1xvWu9Zr1hfVt9VH1M/UY9QP07/Tb9MT0rvSd9I70fvRr9Ff0RfQ79Dj0NvQy9Cv0JPQg9B/0IPQg9B/0HPQY9Bb0FfQY9B/0KPQx9Dj0P/RJ9Ff0ZPRq9Gn0Z/Rt9H30j/Sa9Jz0nPSl9Lb0w/S49JD0WPQ09EP0lPUa9bL2OfaV9sP20vba9u/3GfdR94j3tPfS9+v4CPgp+Ej4X/ht+Hn4ivih+L341/jt+P/5Efkm+UD5YvmJ+az5wfnG+cD5vvnL+ej6C/os+kj6ZfqG+qr6yPrb+uX67/sB+xz7PPtd+4L7qPvH+9X70PvJ+9n8DvxW/Ib8cPwK+3b68Pqr+rD64vsT+yf7HvsI+u/61Pqt+nn6Rfol+iT6N/pJ+kH6FvnT+Yj5Svkg+Qb48vjX+K/4efg89/33wfeD90L2/va99oH2TfYd9e71xPWl9Zn1oPWy9cT1zPXI9bj1n/WB9WD1O/UQ9N/0q/SB9HD0gfSo9Mf0v/SG9C/z4vO+88rz6/P78+TzqPNb8xTy3/K58pnyf/Js8mbyaPJr8mPyUfI98jPyO/JT8nHyjfKj8rLyvPLA8sLyxfLN8tjy3fLV8rvylvJx8lXyQ/I28inyGfII8fnx6vHb8c3xwfG58bHxqvGl8afxtvHR8fHyD/Ij8i3yLvIr8ivyNPJQ8n7ytfLl8wjzJfNI83jzqvPI88XzsPOq89L0KfSU9Oj1DPUJ9Pr0+fUP9S/1TvVl9Xb1hfWP9ZP1kvWV9aP1uvXV9ev1/fYV9jb2W/Z29nv2afZQ9kb2WPaD9rj25/cK9yT3PPdV9233gfeN95b3ovey98P30PfS9873yvfR9+X4APga+C34OPg8+ED4Sfhc+H34r/jz+Ub5qPoW+o/7C/t/++H8Kvxd/IP8o/zC/OL9Bf0w/Wr9t/4W/of/CP+YADIA0QFwAgwCpQM4A70ELASDBMwFFQVoBcIGEwZPBnUGjwarBs4G8wcTByoHQAdcB4YHvgf9CD4Ifgi8CPkJOAl7CcQKEQpfCqgK6gsoC2gLrwv6DEYMjQzPDQwNSA2FDcMOBQ5ODp8O9A9GD5AP0hAVEF8QrhD6EToRaxGVEcER+BI3EnkSuBLzEy4TaROiE9cUBxQ2FGcUnRTXFRUVVRWVFdQWEBZJFn0WsBbkFxsXVReQF8cX9xgeGDwYUhhgGGYYZRheGFUYThhOGFIYWRhcGFsYWBhVGFIYTxhJGD8YMRghGBAYBBgCGAoYGhgiGBYX8hfAF5IXdBdiF00XJhbtFrEWiRaBFpQWsxbKFtAWxBarFowWaRZHFioWExX/FesV0hW0FY4VWxUWFMIUaBQbE+oT2BPfE/IUDxQ+FIkU7BVQFZYVoRVuFREUsRRyFGsUmxTsFT4VeBWTFZwVqhXJFfUWFxYgFhIV/hX3FgAWCxYFFeoVxRWoFZkVkRV/FV0VKhTyFLgUgRRLFBcT5xPAE6cTnxOsE8sT8RQTFCoUORRIFLUUyxTXFNEUvxSnFI8UchRJFBUT3xOyE5ETdhNcE0QTMxMnExcS+RLNEp4SeRJbEjgSCRHaEcIRzBHpEfwR9hHqEf0SRhKzExMTPhMuEwMS5RLnEv0TExMbExkTFRMUExYTGRMaExAS6RKUEhURhhETENkQ1xDxEQIQ/RDsEOUQ9hEUESoRJBEBEM4QmBBqEEgQNBA1EE4QfxDAEQQRQBFpEXkRbRFJERsQ9xDvEQQRKRFKEVkRVhFIETYRHxD9ENEQoRB1EFEQMRAPD+cPuw+PD2QPOg8SDuwOxg6bDmEODg2fDRsMkwwfC9ILsguyC7kLsAuNC1cLHAriCqIKUgnzCZMJRwkXCP0I5wjNCLIIoQieCJ4IlAh3CEsIHwf8B+UH2gfZB+EH7gf0B+kHxweTB1MHDQbFBoIGTwY6BkoGeAa1BvUHMgdxB7IH7wgbCC4IKwggCBwIIQgjCA8H3geTBzwG5AaEBg8FfQTVBC0DlgMKAnIBsgDE/8T+4P48/d39rf2K/V79Jvzr/Lj8j/xu/FP8O/wm/BL7+/vb+7L7gPtM+xr66/q7+oT6P/nt+Zf5SPkJ+Nf4rPh++Ev4Fvfi96/3efc/9wT2y/aX9mX2NPYC9dX1tPWh9Zf1jvV+9WH1OvUK9NX0nPRi9Cjz8fPA85zzhvN883LzXvM58wbyzvKX8l7yHvHT8YPxN/Dz8LjwgPBJ8BXv6O/A75nvb+9D7x7vB+8E7xrvTO+c8APwafCx8Mrwt/CR8HLwafB28I7wqPC+8MPwrvB78DXv9O/O78bvzO/S79Tv3+//8DLwZfCE8IbwcfBU8DbwF+/379jvu++a727vM+7x7rnume6O7ovuhO547m3uZO5T7i/t9+267Yvtce1d7Tbs8eyc7FrsT+yC7NztLe1I7RXsoewZ66vrc+te6zfqxOnq6Mbnmuas5h7l6eXp5fzmEOYi5jbmTOZh5nPmgOaJ5o3mj+aU5qPmv+bl5xPnTueg6BXopOkw6ZLpsemQ6UrpBuji6OjpEelK6YLpqem86cLpyOnY6fLqDuol6jjqUOp46q7q4usH6xjrJes/63PruOv/7DnsX+x47JDssuzk7Sftee3R7iXube6n7tPu9u8T7y7vTe9176bv3/Aa8FTwk/De8TfxmvH78lPyovLv8z7zjfPY9CD0aPS39Q/1afW/9hL2Y/a29wz3Yfe0+Ar4afjU+Ub5uPop+pz7FfuR/Ar8ePzc/T39o/4M/m/+w/8D/zH/Vf9z/4//rf/Q//wAMwBvAK4A6gEiAVgBigG5AeYCEAI5AmMCkwLLAwwDUwOcA+wETgTFBUsFzAY5BpIG6QdOB74IHQhQCFUIRghECGAIjAi0CNMI+Qk6CZEJ3gn/CegJswmICXwJjQmoCb4J0gnsCg0KLAo8CjwKOAo8CkoKWApZCkgKLgoYCg8KEgobCigKOQpSCnMKlQquCr0KzQrlCwkLLgtJC1cLaQuUC98MQgylDPQNJQ0sDP4MlAwAC3QLLgtFC5MLxAuTCvsKPgmxCYEJlAmoCYYJHwiIB9kHHAZQBXQElAPDAwoCbgH3Aa8BqAHmAl8C/gOrBFME6AVgBbYF6wYHBhQGGAYSBgEF5wXKBawFkAVxBVAFLQUMBOwEygSlBHsETAQaA+QDqgNwAzsDCgLbAqkCdAJAAhIB6AHBAZcBawE8AQ0A3ACuAIYAZgBLAC4ACP/b/6//h/9k/z3/D/7g/rb+lv58/mD+Qv4k/gz9+f3o/dj9y/3E/b79sP2Y/X39Z/1Y/UX9I/z1/Mb8mvxi/Av7m/tI+1X72fyf/Tv9TvzP/An7Zfsg+zb7dfu3++/8IvxP/Gj8YfxD/CL8CPvw+877n/t2+2f7fPun+9T79vwL/Bf8GfwS/AX7/Pv9/Aj8FPwZ/Bj8FfwV/Bb8FvwU/Bb8Ifwv/Dj8N/wu/Cf8Jvwp/Cr8K/wu/Dn8RvxN/Er8QPw8/EX8WPxs/Hv8iPya/Lb81/z0/Qn9E/0Y/Rn9GP0U/RD9Df0N/RD9E/0V/Rf9Gf0b/R79IP0i/ST9Jf0n/Sn9LP0x/TX9Nv0w/SX9GP0M/QT9APz7/PP85fzV/MX8uvy2/LX8t/y2/LH8qvyi/Jn8kPyJ/IL8evxu/F/8TPw3/CP8EPv9++z73PvQ+8j7v/u1+6j7nPuR+4b7eftp+1j7SPs7+y77HvsK+vH61vq5+pv6fPpf+kj6NPog+gf56fnJ+av5jvly+VT5NfkY+P/45/jP+Lf4nviF+Gz4Ufg3+B74CPf199/3x/et95b3hPd192T3Tvc19x33Cfb19uD2yPav9pj2gPZm9kj2KfYO9ff15PXP9bX1m/WD9XD1X/VK9TD1FfT99On02PTD9Kr0kfR89G70YfRR9D30KPQb9BT0E/QQ9An0AfP78/nz/PP/9AL0A/QB8/3z+vP58/70B/QS9Br0IfQo9DP0PvRH9Ez0UPRZ9Gn0e/SG9Ir0jfSa9LH0xvTD9KH0bPRE9Ev0kPUJ9Zb2F/Zz9qX2u/bI9uD3CvdB93X3m/e098n35/gO+Df4V/hp+HL4fviS+K/4zfjm+Pn5BvkW+S/5VfmE+a/5yfnL+b35r/mu+b/53Pn++iH6R/pt+o/6pfqu+rb6yPrm+wf7Ivs0+0n7a/uV+7D7qvuJ+237ePuy+/v8H/v9+6D7N/r2+vD7Efsy+zz7Mfsm+yT7IvsN+t36n/pv+lv6W/pX+jT58fmf+VX5JfkN+QL49/jj+MP4l/hi+Cj37fe093z3RfcQ9t32qvZ39kP2EvXq9dL1zfXT9d/15fXh9dL1ufWY9XD1QfUJ9Mv0kvRz9H30rfTo9QL03PR69ALzqPOM86fz1PPr89jzovNh8yrzAvLi8sTyqPKV8o7ykPKO8oHyafJP8kHyRfJb8nrymfK18sfyzvLH8rbypfKg8qvyvvLL8sPypfJ98lfyO/Iq8h/yE/IF8fbx5/HY8czxxfHC8cDxv/HC8c/x6vIT8kDyaPKC8ovyh/J78nHydfKM8rXy5PMO8y3zSvNt85jzu/PE867zjfOF87H0DfR59M308/Ty9OX04/T09RH1L/VI9Vr1ZfVr9Wz1bfV29Yn1ofW39cv14PX89iD2QvZV9lX2SvZE9lL2dPah9sr25fbx9vX2/PcG9xP3HPch9yT3Kfcz9zz3PPcv9xn3BfcA9xD3L/dT93P3i/ef97X30vf4+Cz4bPi6+RH5cvna+kn6vvsw+5T74/wc/Eb8afyM/LL82v0F/Tb9cv2//iL+m/8p/8MAYgEBAaACPQLRA04DqgPlBBIESwSdBQQFaAW0BeUGCQYxBmQGmwbIBuUG+gcVB0MHhQfPCBgIWQiTCMwJCglPCZoJ6Qo1CnoKuQr2CzYLfAvHDBAMVAyUDNENEA1PDZIN2g4pDoAO2g8vD3oPvRAAEEoQmhDlESMRUxF9EawR5BIiEl0SlBLJEwETPhN6E7AT4hQTFEsUihTOFQ4VShWDFb4V+xY3Fm4WohbUFwkXQxeAF7oX7hgWGDQYRhhOGE0YRRg5GDAYLRgwGDUYOBg1GC4YKBgjGB4YFxgNGAMX+xf0F+0X5BfdF94X5hfsF+MXwReOF1oXNhchFw4W7ha+FooWaBZjFnUWixaVFokWbhZMFioWDBXzFd4V0RXIFcIVthWfFXYVOhTrFJEUNxPtE70TqxOwE8cT8BQsFH8U4BU7FXkVihVsFS0U5xS1FKkUyhUNFVgVlBWzFcAVyxXjFgIWGxYhFhwWHRYxFk8WYRZRFiMV6hXBFa4VpRWTFW8VPhULFNwUsxSKFF8UMRQBE9ITrROgE7ET3xQaFFAUehSZFIAUjRSYFJ0UnxShFKMUmRR7FEgUDBPTE6MTdRNEExUS8BLaEsoSsxKPEmMSOhIUEe8RyRGxEbQR0hHyEfwR8BHyEi0SqhM8E50ToBNVEvUSuxK4EtYS8xL/EwMTChMWEyMTLRM3Ez4TMxMAEpkSERGREUERKhE4EUgRSRE/ET4RTRFgEWERQBD9EKgQUhAFD8cPmg+FD44PtQ/2EEUQmBDiERYRKREbEPsQ4BDhEQARLhFVEWoRbRFqEWIRTREhEN4QkRBOEB8QAQ/oD8sPqQ+GD2cPSw8zDxwPBA7iDq0OWg3mDV4M1QxkDBoL+QvyC+sL0AubC1QLDgrPCpIKSwn4CaYJaglQCVMJYAlqCW8Jcgl1CXAJWAkrCPAItAiBCFcINQgZCAYH/gf8B/kH7gfXB7QHhwdRBxgG5gbDBrQGsga2BrkGvgbQBvIHHgdIB2AHZQdkB3AHkQe+B94H2wevB2oHHQbTBoMGIwWwBTYEwQRLA7sC8gHpAL3/pf7P/kj9/f3H/Yv9Qvzz/Kr8bfw8/Bj7/vvu++X73PvO+7f7lvtu+0H7E/rj+q/6cvoq+dv5jflF+QP4xPiD+EL4AvfF94v3UvcY9uL2s/aJ9mD2MvYB9dX1tPWk9Z/1m/WP9Xf1U/Uk9Ov0q/Rp9Cjz7vO985jzf/Nw82LzT/Mx8wzy5vLA8pbyYPIa8cbxbvEY8MfwffA98Avv5e/G76DvcO877w7u8e7o7vLvFe9a78bwTfDQ8TLxZPFt8V/xUPFK8VPxa/GN8avxsfGX8WbxMvES8QfxA/D28N7wxvC98MXwzvDI8KfwcfAw7/jv1u/U7/HwF/Aq8BXv3e+j74zvpO/S7+rvz++G7y3u3u6c7lbt/u2e7U3tHe0J7Pns1eyZ7F7sQuxV7IfssOyf7Dvrj+rN6jPp5unc6d/psekw6HDnpecB5pnmX+Y45hXl+OXx5gfmNeZu5qTmzubl5ubm1ea85qrmp+az5srm7ucn533n7ehg6Lzo8Oj/6Pvo+ekE6R3pP+lk6Yjppum56cLpxunN6d3p8uoI6h3qNupX6n7qoeq46sXq1er46zHreuvB6/3sLOxR7HbsnuzP7QrtUu2i7fTuPu587q3u1u757xvvPu9l75Tvy/AJ8E7wnPD08VTxtfIS8mbytvMH81vzrfP59D/0g/TP9ST1gPXb9jT2jfbm90D3l/fr+EL4oPkH+XP53/pL+rz7NPuv/CP8ivzm/UL9pv4N/nD+w/8D/zX/Xf9//5v/uP/cAA0ASgCNAMwBBgE8AXEBpgHYAgQCKgJNAnUCpALdAx8DaQO5BBQEgAT+BYMGAQZrBsYHJAeTCAoIbAibCJQIdQhnCH8IswjqCRYJQgl9CccKAwoSCeoJowlmCU8JXAl1CYYJjAmRCZ4JswnICdcJ4QnrCfcKAQoDCfsJ8QnvCfoKEwowCkwKZAp8CpcKsgrICtgK6AsACyELQQtaC3ALlAvZDD0MqAz7DSkNNA0gDOEMYAueCswKOQodCmYKtQqkCgoJHwhFB8YHoQebB3QHFAaJBfAFWQTCBCkDlgMYArkCgAJuAokC1QNLA9kEbATxBWUFwwYLBjkGUAZWBlQGTAY+BicGCAXlBcEFnQV2BUsFIAT3BNIEqwSCBFUEIwPvA7YDewNCAwwC2QKkAmsCNAIGAeQBxwGlAXgBRAETAOcAvgCUAGoAQwAg////2v+z/43/bf9R/y3+/f7I/pr+e/5l/k7+Lv4N/fP94/3V/cX9sv2j/Zj9jP18/Wj9VP1C/Sj9AfzR/KP8e/xG++/7fPsi+yz7ufyT/UT9Y/ze/AP7Sfr3+wr7TfuQ+8X79vwk/EL8Qvwp/Ar79vvp+9T7rvuC+2T7Yvt3+5X7s/vN++X79/v++/j77Pvi++L76Pvw+/X7+Pv2++/75Pvc+9376Pv1+/r79fvs++j77Pvy+/b79/v7/Aj8F/wg/B78FfwS/Bv8LPw+/Ev8Wfxu/Iv8q/zD/ND81/zc/OP86fzs/O387Pzs/O387/zv/O/87/zv/PD88/z4/P39Av0H/Qz9Ev0Z/Rz9Gf0P/P/87/zj/N382/zZ/NP8x/y2/KT8mPyS/JD8j/yL/IT8evxw/Gb8XfxV/E78SPxA/DX8JvwV/AP78fvf+8v7uvus+6L7m/uS+4f7e/tv+2X7WPtJ+zf7JvsY+wv6+/rl+sz6sPqT+nX6Vvo5+iL6EPn++ej5zPmt+Y75cflU+Tb5Gfj++Of40fi6+J/4g/hm+En4LfgR9/j34/fQ9733pveO93f3ZPdT9z/3KPcN9vP23PbH9rD2mPZ/9mf2T/Y29hv1//Xn9dL1v/Wp9ZD1dfVd9Un1NvUh9Qf07PTW9Mb0uPSo9JH0ePRh9FH0RfQ39Cb0EvQC8/fz8fPs8+bz4PPa89jz2fPb89/z4vPj8+Lz3/Pe8+Tz7vP79AT0CPQM9BL0HfQn9C/0NfQ+9E30X/Rs9HL0d/SC9Jj0r/S09J30cvRN9En0efTX9VL1zvY39n/2qfbB9tb29Pcf9033c/eP96j3yff0+CP4Sfhg+Gv4c/iC+Jr4tfjP+OP49fkJ+ST5SPly+Zj5svm6+bb5sfm1+cX53vn8+h76RPpp+oT6jfqK+or6nfrA+uL68/rw+vD7CvtA+3T7gvtb+xn67vr8+z37gPuX+3H7Lvr7+vX7D/sr+zD7JPsf+zH7Uvtk+0/7FfrM+oz6W/ou+fL5qPld+SP5A/j3+PP47fje+Mb4ovhx+Db39/e+9433ZPc+9xj28PbD9pP2YvY19hP1/vX29ff1+/X69e/11PWo9W31KvTl9Kv0ivSO9Lv0/fUv9Sn02vRX89PzgPN085rzxfPT87jzhfNR8yvzEPL58uHyy/K78rXys/Kr8pnyfvJm8lryXfJu8obyoPK58tDy3fLZ8sLyovKK8oXyk/Km8qvynPJ88ljyO/Ip8h/yF/IN8gHx8/Hn8d/x3PHd8d/x5fHy8gzyM/Jl8pjywfLb8uLy2/LL8rvytfK/8tfy9vMX8znzZfOb89Lz9PPt88Pzk/OD86v0AfRk9LD00vTT9Mf0xPTO9OX0//UZ9S71O/VA9UH1RfVQ9WX1fvWX9bD1zPXs9gv2IPYo9ib2J/Y29lb2fPab9qj2pPaX9ov2hvaJ9o/2lPaW9pb2mfad9qD2mvaI9nH2YPZh9nn2ofbO9vb3F/c191X3fPet9+v4NPiJ+OP5QPmf+gL6bPrY+z/7lfvX/An8M/xe/Iv8uPzj/Q39PP16/dH+Qv7J/17/+ACTATABywJXAsIDAQMeAzQDYgO3BCYEkwTkBRoFRgV/BcwGHgZhBo0GqgbLBwAHSQecB+sILQhkCJkI1AkYCWUJtAoACkUKggq9CvoLPguHC9IMGwxfDKEM4g0kDWkNsw4EDlsOsw8HD1QPmw/jEDIQgxDPEQwRPRFpEZkR0BIJEj4SbxKhEtsTGhNYE48TwBP0FDMUehTCFQIVORVuFagV6RYrFmcWmhbIFvkXMRduF6sX4RgMGCkYOhg+GDcYKxggGBsYHBgiGCUYIRgXGAsYAxf9F/cX6xfaF8sXwxfCF8IXvhe2F68XqxeoF5sXfBdNFx4W+hbmFtcWwBadFncWXBZUFlcWWBZJFisWBhXmFc4VvRWsFZ0VkBWIFYMVeRViFTkU/hS1FGcUHxPnE8QTthO4E8kT5xQUFE8UkBTMFPcVCxUJFPYU2hTAFLcUyxT9FUEVgRWuFcQV0RXiFfkWDRYaFiYWPhZnFpMWphaLFkkV+xW+FZwVhxVuFUoVIhUCFOwU2hTEFKMUdhQ9E/sTvBOSE40TsBPsFCgUVBRvE/cT8hPzE/oUChQiFD8UUxRRFDUUCBPVE6ATZhMiEt4SqRKNEoISeBJiEkMSHxH9EdsRvBGuEboR2RHyEfIR4hHvEkQS4ROHE+UTzxNeEt8SkxKLEqoSxxLUEtoS6BL9Ew8TGRMjEzcTTBNKExkSuxJLEe4RuBGmEagRrxG8Ec8R4BHcEbMRYBDxEHsQDw+zD2cPKQ7/Du0O+w8qD3sP5xBgEM4RFxEvESERBxEAERYRPxFlEXwRghGAEXcRXREoENsQhBA4EAEP3A/BD6YPjQ96D2wPYQ9YD04PQg8tDwIOuA5LDcYNPAzBDGQMJwwEC+kLwguJC0QK/wrGCpYKZwoyCf0J2gnWCfEKHQpHCmMKbQplCkkKGgnbCZYJVgkfCO8IvwiKCFUIJQgCB+0H4wfbB88HuQeXB3IHUAc2ByQHFgcDBuwG1wbQBt4HAAcqB0oHVwdWB1YHZgeEB5wHkwdeBwgGqwZbBhoF3AWWBUsFBQTBBGUD0QLwAdMApv+a/sv+Of3P/Xj9J/zX/If8Ovv2+8T7qPuf+6T7rfuz+7T7rPuZ+3j7TPsa+ub6sfp5+jz5+fmx+WT5FfjE+HT4J/fe95j3VPcS9tf2pfZ89lP2J/X29cn1qPWU9Yn1gfV19WL1RvUe9Oj0pvRf9Bvz4vO285LzdPNX8znzG/L88uDyyfK18pzydPI28ebxjPEw8NrwjvBQ8CHv/e/Z76vvcu867xLvAu8G7xXvMe9m78TwSvDi8WzxzfH78f7x5vHF8avxpvG38dTx7fH08ezx4/Hm8fLx+vHw8c/xovFz8UnxIfD08L7wf/A98Abv8PAO8F3wvPD38OvwpfBb8EzwiPDk8RPw4fBQ75Hu2O477a/tIuyV7CDr3uvQ697r5evR66frf+tt63HrdOtP6ufqPel56NDobOhP6FjoWOgy5+3noudm5zvnEebc5qbmguaD5qnm5ecj51XndeeA53XnWOcz5xLm/+b65wDnDuco51TnkOfT6A7oPOhk6JLozekO6Urpeumd6bnp0unm6fTp++oB6gjqEOoZ6iPqMOpD6lzqduqN6qPqv+rn6xnrUOuE67Tr5uwb7FXsjuzE7PntM+117bzuAO477m3umu7H7vbvKO9e75nv2/Ao8Hzw2PE38ZXx7/JD8pXy6fNA85jz6vQz9HX0uPUE9Vv1ufYX9nH2yvcl94D32vgy+Ir45flF+aj6C/py+uD7VvvP/D78nvzz/Uf9n/35/kv+kf7N/wX/Pf9x/5z/wf/qAB4AXwCiAN0BEAFAAXQBrAHhAg4CNAJZAoQCtwLzAzcDhAPdBEMEtwU2BbcGMAacBvsHWwfDCC4Ihgi1CLoIrQiuCNAJCglFCXUJnwnOCgQKKwooCfQJpAlcCTYJMQk6CT8JOgk0CTcJRQlXCWgJdQmCCZEJpAm1CcMJ0AngCfkKHQpECmYKgQqWCq0KxgrgCvgLDgslC0ALVwtsC4YLuwwYDJINBQ1LDVgNPg0PDMEMLwtICjIJRwjcCPwJUgloCPYIFQciBnEGGAXuBbsFZQT3BIoEKgPXA4oDSQMeAxIDKgNkA70EMQSyBS4FkwXfBhgGRAZlBngGfQZ4BnAGZgZWBjsGFwXuBcMFlwVnBTMFAATSBKkEgQRXBCoD+QPDA4YDRwMKAtUCpAJyAjsCAwHVAbYBnQF8AU4BGQDoAMIAoAB6AEwAHv/3/9b/tP+Q/2v/TP8w/w7+4v6v/oT+Zv5Q/jf+Ff3z/dv9z/3E/bD9lv1+/W/9ZP1X/UT9Mf0i/Q/87Py4/H78SvwV+8v7afsb+yP7pPxy/R39Ovyz+9T7FvrH+ub7Nft8+6z70fv2/BT8GfwE++f70/vM+8P7rPuK+2v7W/tc+2b7dfuL+6j7x/vb++D72PvN+8f7yfvP+9b71/vS+8T7s/um+6T7rfu4+7r7tPuu+7D7vPvL+9T71/vb++X78fv5+/n79/v6/AX8Ffwj/C38OfxN/Gj8gfyT/Jv8ofyo/LP8vPzB/ML8wfzB/MT8x/zK/Mv8y/zK/Mj8yPzM/NL82vzj/Ov89Pz7/P78+fzt/Nz8zfzB/Lv8uvy5/LX8rPyd/Iv8e/xv/Gj8YfxY/E78RPw8/DX8Lfwk/Bz8GPwU/A78A/v1++j72/vN+7z7qPuW+4r7gPt3+2r7WvtM+z77Mfsi+xD6//rx+uP60vq9+qP6iPps+lD6NPoa+gT58/ni+c75tfmY+Xz5YflF+Sf5CPjs+NP4u/ii+IT4ZfhF+Cb4CPfq9873t/ek95L3f/dp91H3O/cl9w/29/bd9sP2rPaV9n32Y/ZK9jL2HPYG9fD12vXF9bH1nfWG9W31U/U79SX1EPT59N70wvSr9Jv0j/SC9HH0W/RG9DX0KPQd9BD0AfPw8+Lz1/PP88nzxPPA877zvPO787vzvvPB88PzxPPH89Dz3fPs8/Xz9/P38/z0CPQU9Bz0H/Qi9Cz0PPRM9FX0WfRe9Gv0fPSF9Hr0XvRB9Dn0V/Sd9QP1ePXq9kj2h/ao9rr2zfbs9xb3QPdl94T3qPfU+AP4LfhI+Ff4Yvhv+ID4lPip+MD42/j7+R75P/lc+XT5ifmZ+an5u/nQ+ej5/voT+ir6Rfph+nT6d/pt+mb6cfqM+qf6r/qi+pT6pPra+x/7Rfsv+uj6n/qG+qn65/sQ+wf62/q0+rL60Prx+vj66/rl+wP7Qft++5L7avsS+qj6Qvnn+Zb5TvkU+O743PjV+NL4zfjF+LX4mfhq+C737ve294v3avdN9y/3Dfbo9r72kvZn9kL2J/YY9hP2FPYR9f/11/WU9T/06fSl9IP0i/S59Pn1MfU99Qn0mfQR86HzbfN285zzt/Ox84zzXvM48x/zD/MA8vDy5PLc8tjy0fLD8q7yl/KI8oLyhvKO8pbyn/Kt8sLy1/Lg8tTytvKS8nnycfJ28nvyc/Jf8kXyL/Ii8h3yHPIZ8hPyC/IF8gPyBPIJ8hDyHPIy8lXyhPK38ufzC/Mi8yrzI/MR8vry5vLe8uPy9fMT80DzfvPG9AP0G/QD88rzlvOK87b0CPRd9JX0qPSh9JT0kPSZ9K30yPTk9Pz1DPUS9RL1FPUd9TD1SvVp9Yz1sPXS9en18/Xz9fX2A/Yg9kH2VvZX9kT2KPYS9gj2CfYR9hf2GvYa9hj2GPYY9hb2EPYF9fr1+vYK9iz2WPaD9qf2xfbk9wj3Nvdu97H4Afha+Lb5Eflo+b/6HfqB+ub7QfuM+8j7/Pwu/GP8lvzF/O79Gf1P/Zr9/f50/vn/hwAbALMBRwHGAh0CRgJSAmMClwL3A3AD3gQtBF4EjATOBSkFjgXmBiUGUwaABrwHCAdaB6cH6QgkCFwImgjeCSgJdAm+CgQKQwp/CrwK/wtIC5YL5AwvDHYMuQz8DUANig3aDi8OhQ7ZDykPdg/EEBUQZxCwEO4RIBFPEYERtxHsEh4STRKCEr4S/xM+E3UTpxPdFB4UZxSuFOwVIhVYFZYV3BYiFl4WkBa8FusXIhdeF5kXzRf2GBMYIxgnGCIYGBgQGA0YERgWGBcYDxgBF/EX5hffF9cXyhe3F6IXlBeOF4wXiReBF3YXahddF0sXLxcKFuMWxRaxFqMWkRZ5FmAWTBY+Fi8WFhXxFcUVnxWGFXoVchVnFVcVRhU5FS0VHRUCFNkUpBRpFDEUARPeE8oTwhPAE8ITyhPaE/UUGBQ+FGEUfRSTFKEUpBSdFJcUoRTKFQ4VXBWbFcEV0hXdFe0V/xYRFiUWRBZwFpwWrRaRFk0V+hWzFYMVYhVCFSAVBhT9FQIVCRUEFO0UxBSJFEAT8hOxE5ETmRO8E+MT+hP9E4cTdxNyE3gTiROlE8kT6xP7E/QT2hO0E4MTQxL2EqYSZxJGEj4SPRIzEh4SBRHrEdARtxGqEbIRyxHgEeAR1BHlEjsS0hNwE8YTqxM7Er4SchJpEoISmxKkEqoSuhLSEucS8hL9ExgTQhNmE2oTQBLyEpkSThIeEg8SHhJEEm8SgxJpEhgRmxEKEH8QBQ+cD0EO8A6sDnoOZQ56DsUPRg/uEJgRGhFdEWMRTBE8EUQRYBF9EYoRiBF7EWoRTxEmEO8QsBBzED0QDA/fD7YPmg+KD4MPfg94D3EPbA9iD0QPBw6pDjENrQ0rDLcMWQwVC+ULvAuNC1MLFwrnCskKugquCqIKmwqpCtALCQtAC2ELYAs+CwIKugpxCi8J+AnJCZoJYgkeCM4IfQg2CAQH6AfbB9IHxAevB5gHhAd0B2UHVAdABysHHAcbBzEHYAehB+IIDAgWCAcH8wfmB9cHrwdbBuEGWQXeBX0FLgTnBKkEfwRrBFwEKQOvAt8BzACb/3b+fv3B/T384vyY/En78vud+1/7RftL+2P7f/uY+637vPu++637hvtR+xn66Pq9+pP6Yfok+dv5iPkx+Nn4hPgy9+D3j/c+9vT2tfaA9lH2IPXu9b71lvV49WL1T/U89Sn1E/T19Mf0i/RI9Avz2vO185Xzb/ND8xPy5vLA8qbylvKL8nvyW/Im8d7xjfE68O/wrvB38EnwH+/v77fveO9C7yPvH+8v70fvZe+S7+DwVPDe8WPxxfH08e/xw/GD8UfxI/Eg8TjxXfGD8abxyvHy8hnyNvJA8jTyF/Ht8bzxiPFY8TTxF/D78N/w0/Dv8Tjxj/G68Y/xG/Ce8GXwiPDX8Pjwp+/g7tjt0+z07DvrlOr96obqReo86lPqaeph6jrqAunR6bTppemP6Vjo9uh45/7nrOeL55DnoOep56XnnOeP53nnVOcn5wXnAucm52LnnufJ597n4ufb58vnsueU53nnZ+de51jnVOdU52DnfOei583n++gw6Hboyukk6XXpsuna6fXqCOoY6iTqLOov6jHqMOot6irqLOo06kTqWup16pPqturc6wLrJetG62vrnevd7CXsauyk7NTtAu037XPtse3q7hvuS+6C7sTvEe9m777wGPB18NPxMfGK8d7yL/KB8tnzN/OY8/T0RPSJ9Mr1EPVg9bv2GvZ29s/3Jfd+99j4MfiH+Nz5M/mN+en6SPqs+xj7jvwE/G/8yP0S/Vb9mv3a/hP+Rv59/sL/E/9j/6b/1wAEADgAdgC2AO0BGQFEAXUBrAHgAgsCMQJZAooCxAMEA0sDnQP/BHIE7wVwBfAGawbdB0MHnQfuCDgIdgiiCLwIzgjpCRgJVwmZCdQKBgoyClMKXAo8CfUJmQlHCRII/Aj4CPgI+Aj8CQcJGQktCT0JSQlXCWsJiAmoCccJ4Qn6ChYKOgpiCoUKoAqzCsYK3wr8CxcLLgtDC1kLcAuHC6kL5wxLDMoNPQ1+DYANVw0cDMkMNQs/Cf4IyggFB9YIBwgpB+kHQAZsBbgFPwTuBKEESgP1A7UDkQODA4EDjgOvA+gENQSSBPkFZAXJBhkGUAZvBoMGlAagBqMGmgaJBngGaAZTBjUGDQXhBbQFgwVMBRIE2gSqBIAEVwQrA/wDygOTA1UDEgLTAp4CdAJKAhgB4AGvAYsBcAFRASUA8wDGAKEAfwBWACX/9f/Q/7P/l/9z/0r/J/8I/un+wv6W/m/+U/48/iH9/f3d/cn9wf23/aD9f/1j/VL9R/0z/Rf9APz3/PP83fyp/GL8IPvr+7P7a/sq+yX7iPw4/Nb8+vyA+6v67/qh+sT7G/to+5X7svvR+/D7/fvv+9H7t/up+6P7mPuF+3H7YftW+0/7TvtZ+3H7kPuq+7n7vPu6+7r7vfu/+7/7uvuw+6H7j/uC+377gvuJ+4z7ifuI+5D7ofu1+8P7yfvN+9L71/vb+9374fvr+/n8BvwO/BT8Hfwu/EP8Vvxi/Gv8dfyB/I38lPyU/JH8jvyQ/JX8nPyi/Kf8qfyn/KP8oPyg/Kb8r/y5/MP8zPzT/Nb80vzJ/L78s/yq/KP8nfyY/JP8i/x+/Gz8WvxK/D38Mvwm/Br8EvwO/Av8BvwA+/n79vv0+/D75/vb+9D7yPu++6/7mvuE+3L7ZftZ+0r7OPsm+xj7C/r9+u363frN+r/6rvqY+n/6ZPpI+i36Evn5+eX51fnG+bP5nPmD+Wr5Uvk5+Rr4+fjY+Lr4nviA+F/4Pvge9//34ffD96X3i/d292X3VfdB9yn3EPb29tz2w/aq9pH2efZh9kn2MfYa9gT18fXf9c31uvWl9Y/1ePVh9Ur1MvUb9QT07fTV9Lz0ofSK9Hb0aPRc9E70PfQr9Br0DfQE8/rz7/Ph89Lzw/O386/zqvOp86fzpPOg857znvOh86XzqfOw87vzzPPb8+Pz4/Pi8+fz9PQC9An0B/QC9Ab0FfQo9DX0OPQ39Dn0QfRH9ET0NPQj9CD0OPRv9MH1KPWW9fv2SPZ59pP2qfbG9u33F/c99133f/en99T3/vge+DT4RfhU+GP4bvh7+JD4svje+Qn5Kvk++Uz5XPl1+Zb5vPng+f76E/og+in6NPpC+k/6VPpN+kL6PvpG+lT6WvpT+kn6Ufp4+rH62vrY+qj6bPpO+mD6kPq1+rH6i/pm+mX6iPqz+sf6wPq4+tH7FPtk+5P7f/sn+qb6H/mn+Uf5AfjT+Ln4rPil+KD4nvic+JT4e/hQ+Bb32/eq94X3Z/dK9yv3Cfbl9r/2l/Zy9lX2QfY29i/2JvYU9fD1s/Vd9Pz0qPR59Hn0o/Te9Q71GfTx9Jf0IvO283LzY/N585Pzl/OA81vzOvMm8xnzDvMA8vXy8PLw8u/y5/LY8sfyufKy8rDyrvKo8p7ylvKX8qbyv/LX8t7yzvKr8oPyY/JP8kPyOPIq8hnyDPIH8gvyFPIe8iPyJfIn8ivyMvI78kbyVvJx8pjyx/L38x/zPPNP81fzUfM98x/zAPLt8u3zAPMn817zofPk9A70DfPh86Xzf/OM88v0HvRg9H30dvRf9E30SfRV9G30jPSt9Mr03PTj9OL04fTm9PX1DvUw9Vf1f/We9bH1t/W89cv15vYE9hT2CvXn9br1mPWL9ZT1qPW79cX1x/XD9b/1vPW69bj1tvW09bf1xvXj9gn2MvZW9nP2j/av9tn3DPdI94z32vgv+If43Pks+Xv50Pot+o/67Ps9+4L7vvv4/DP8bPyh/NL9AP00/XT9xP4k/pT/Ef+ZACcArwEfAWcBiQGbAb0CCAJ7AvwDagOyA94EBwREBJoE/wVfBbAF9QY3Bn0GxwcRB1YHmAfYCBoIXgikCOsJMQl3Cb0KAgpFCocKzAsWC2QLtAwCDEwMkQzTDRcNYA2vDgQOWw6yDwUPVg+lD/UQQhCJEMYQ/BEuEWERlRHKEfwSLxJnEqYS6BMnE14TkhPJFAoUUBSVFNMVDRVJFYwV0xYXFlAWgRavFuAXGBdRF4cXthfbF/cYChgTGBIYCxgDF/8X/xgCGAIX+xfsF9kXyBe7F7IXpxeXF4IXbhdfF1cXUhdMF0EXMRccFwQW6RbMFrAWmBaEFnIWYRZQFj0WKRYPFewVvxWLFVwVOxUsFScVIxUYFQcU9BTiFNAUuRSaFHIURxQdE/kT3RPLE8ITvRO4E60ToBOXE5sTrRPKE+oUCRQoFEIUVBRYFFcUYRSKFNUVMhWFFbsV0xXfFewV/xYTFiMWNRZOFmkWdhZkFjEV7BWqFXUVSRUgFP4U7BTyFQkVIRUpFRsU+BTFFIEUMxPoE7ITnBOgE6sTqhObE1oTUBNQE1gTZBN1E4sTohOvE6wTmRN6E08TExLGEnYSNhITEgkSBxH/Ee0R2RHIEbkRqhGdEZ4RrhHDEcsRyxHdEiASlhMVE2ATUxL/EpoSWhJMElsSaxJyEngSiRKjErwSzBLcEvgTIhNPE2kTYxM6EvgSsRJ5EmMSdRKmEtgS6RLCEmER2BFCEK8QKA+tDz8O2w6CDjYOAw38DjkOww+GEFcRARFkEYMRexFwEXURhBGPEYgRcRFUEToRJxEXEQYQ7xDPEKIQZxAmD+4PyA+zD6gPmw+ND4MPgA97D2UPMg7jDoAOEw2hDS8Mxwx0DDsMFQvwC78LhAtUC0ALSgtkC3wLjAudC7wL6gwYDC0MGAvZC4ILKgrjCq8KhQpcCioJ7AmjCVII/QitCGoINwgRB/QH2gfGB7cHrQehB44HdgdgB1IHUAddB4IHxwgsCJsI9QkcCQ0I3wisCHsIPQfXB0IGkAXfBUMEvgRMA+8DtwOvA84D8APnA4cCwQGhAFH/B/31/TL8tPxY+/r7jvsm+t/6zfrp+x37Uvt9+6L7wPvR+8v7qftz+zj7B/ri+sT6o/p4+j359fmi+Ur48vib+EP36PeK9y723faY9l72J/Xw9bv1i/Vk9UP1JvUK9PH02fS+9Jj0Z/Qx8/7z1vO285TzafM08vzyyvKj8onyePJr8lryPPIO8dHxi/FH8Qjwz/Ca8GbwMu/978bvkO9h70HvM+8170XvY++Y7+zwXPDU8TvxdvF48Ubw8vCV8EvwJ/Av8FnwlfDX8RnxWvGZ8c/x+fIW8ijyMPIo8g7x6vHR8dXx8/IW8ifyJPIe8iTyKvIH8Zbw3/Ae75jvbO9z71/u7+4c7RLsDus06obp9+l/6Sbo9ejp6PHo8+je6LDoc+g46A/oAOgB6APn9OfR56fnieeF55nntufN59fn0Oe555PnZ+dF5z/nXueY59Tn+ugD5/bn5OfU58nnvuey56jno+eh55vnj+eD54HnlOe75/LoL+hv6LbpBOlV6aPp4uoO6ifqMOow6izqKOom6ibqJOoi6iDqIOon6jTqSOph6n7qn+rB6uLq/+se60Prduu36/7sQOx27KHsyez57TLtb+2n7dnuDe5O7qXvEe+H7/rwY/DA8RTxYvGr8fPyQfKb8wXzd/Po9Ez0ofTr9TP1gvXY9jT2j/bn9z33lPfr+EH4kvjf+Sr5evnQ+iv6ivru+1r7zvxA/KX89f0w/WH9jf22/dv+A/49/pH++/9m/73/+gAoAFkAlADQAQMBKwFSAX8BsQHfAgQCJQJPAoYCxwMNA1gDsAQeBJ4FJgWsBi4GrQcmB48H3wgUCDoIXgiHCLII3QkICTsJfAnJChoKYgqVCqcKjwpLCecJfAkiCOcIzQjICM4I2wjuCQcJIwk9CVMJZQl4CZEJsQnWCfkKFQosCkYKZwqNCrEKygrcCu0LAwscCzILQwtTC2sLjgu3C+YMIwx5DOUNTQ2QDZ8NhA1SDQYMfwuXClMI9gffB0cHHwccBvAGgAXmBU0EzARfA/4DrAN3A20DiAO7A/oERQScBPwFXAWzBgAGQgZ4Bp4Gsga8BsQGzgbTBswGtQaVBnYGWgY9BhoF8gXIBZwFagUwBPMEugSJBF4ELwP6A8IDjQNaAyMC5gKpAnUCTQInAfkBwwGOAWcBSwEvAQoA3ACvAIcAXwAx//3/zv+s/5T/ef9U/yn/BP7o/s3+qv6B/lv+P/4p/g396/3N/bz9t/2s/ZH9bf1Q/UL9Nf0b/PP80vzK/NH8yfyZ/E38BvvY+7X7gvtH+zT7gPwl/ND9EPyw+977D/qi+qz6+ftH+3b7k/uz+9f77fvp+877rfuV+4f7f/t2+237ZPtZ+0z7QftA+037Y/t4+4n7lfuh+637tvu1+6z7n/uU+4n7fvtz+2z7avtt+3H7dft7+4X7lPul+7L7vPvC+8b7yPvJ+8r70Pvc++j78Pv0+/b7/vwM/Bv8J/ww/Dr8SPxZ/Gf8bPxq/GX8ZPxm/Gz8cvx4/H38gPyA/Hz8efx4/H38hfyO/Jj8ovyr/K78rfyo/KL8nfyW/Iz8f/x0/Gv8YvxV/EP8MPwg/BP8CPv9+/L76/vq++z76/vo++T74vvh+9370vvD+7j7sfuq+5z7hPtp+1L7Qvs1+yb7FPsB+vP66Prc+sz6u/qr+pz6jfp5+mD6Rfop+g358fnY+cP5tPml+ZP5ffll+U/5Ovki+QX44vi++Jz4fPhb+Dn4F/f399r3vveh94T3afdV90T3NPci9wr27vbR9rX2mvaA9mf2TvY29h/2CvX39eX10/XB9a71mfWC9Wn1UPU59ST1D/T59OD0yPSy9J30ifRz9F70S/Q89C70IfQS9ALz9PPp8+Hz2PPN88DzsPOh85bzkPON84zzivOH84XzhPOH84rzjvOV86HzsfPA88fzxvPE88jz1PPi8+fz4vPb893z7PQD9BT0GPQT9A70DvQQ9A30AvP48/v0E/RD9If03fU+9aT2AfZL9oD2pfbE9uP3APcZ9zH3Tfdz96D3y/fu+An4IPgz+ED4R/hM+Fr4efim+Nb4+vkR+SH5NvlW+X75p/nM+ev6AvoO+hD6DPoL+hD6F/oX+g35/Pnv+e/5+foF+g/6Gfoq+kL6V/pa+kf6Lvon+kD6b/qR+o76aPpC+j36Zfqi+s/63frd+uz7Hftc+4L7bPsU+o/6APmA+R342Pir+JD4f/hz+G34bPht+Gb4Tvgi9+33u/eW93r3YPdC9x72+fbS9qr2g/Zi9k32QvY79i/2GPX09cD1e/Up9Nf0nPSK9KH0zPTu9Oz0vfRq9Afzq/Ns81PzWvNr83HzYfNE8yvzH/Me8xzzEfMB8vTy8vL08vby8vLp8uLy3fLY8s/ywPKt8pvyjvKL8pXyrPLJ8t3y3fLE8pjyZfI58hnyBfH38e7x6PHr8fjyDvIl8jfyQvJJ8lHyWvJl8nLyg/Ke8sXy8vMc8zvzUPNb817zVPM98xvy/vLy8wDzJPNU84nzu/Pe8+XzyfOV82nzZPOU8+b0NfRh9F/0P/Qc9Ab0BPQT9C70UvR49Jn0rvS29LX0s/S19MD01fT09Rn1PfVZ9Wr1d/WI9aX1xPXX9c31o/Vm9TD1FPUa9Tf1XPV49Yb1iPWF9YH1gPWA9YL1g/WH9ZL1p/XG9ev2EPYx9k/2cPaZ9sr3Avc+93z3wPgJ+FT4oPjp+TP5hPne+jz6mfrt+zj7e/u8+/v8Ovx2/K784/0Y/VD9kv3f/jv+p/8g/50AEwBzALYA4gENAU8BtAIzArMDGgNgA4wDswPoBC4EgQTaBTQFjwXpBj8GjAbQBw4HTQeRB9oIJAhsCLAI8gk2CX0JxwoSClwKpQrwCzwLigvXDCEMaAytDPINOw2JDd4ONQ6NDuIPMw+AD8wQFRBcEJsQ1REJETwRbxGkEdkSERJMEosSzBMKE0MTeROxE/AUNBR6FL4VARVEFYkVzRYLFkEWchakFtgXEBdHF3kXpBfJF+YX+xgFGAYX/hfyF+gX5BflF+cX5RfYF8IXqReTF4YXfRdzF2MXThc6Fy0XJhciFxcXARbkFsUWqhaWFoUWdRZjFlAWPhYsFhcV+BXMFZQVVxUgFPgU4xTbFNgU0RTFFLUUpRSVFIIUaBRHFCQUAxPoE9ITwBOzE6wTqROkE5YTgRNtE2YTbhOCE5cTqxO/E9cT7hP/FAoUGxRHFJcU/hViFagVzBXdFe0WAhYVFh0WHRYeFiYWLhYoFgoV2RWfFWcVMhUCFN4U0BTeFP8VHhUsFSIVBBTYFJ4UWRQPE88TpxOUE4sTfxNsE1wTWhNiE2wTchN0E3UTdhN0E2kTVRM3ExAS3RKdElgSHxH+EfIR7RHfEcgRshGmEaMRoBGYEZMRmBGnEbgRxRHbEgsSXBK5EvoTAhLREooSURI4EjcSPhJEEk0SXRJ0Eo4SphK+EtkS9xMUEycTLBMeEv8S1BKsEpgSoxLGEugS7BLCEm4R+xF3EOkQVA/CDz8O0A5xDhsN1A21Dd0OXQ8jD/wQtREsEWQReBGCEY4RlRGKEWwRQREYEPsQ7xDuEPMQ8xDkEL8QhhBHEBEP7g/YD8UPrA+TD4MPfg94D2EPLw7pDp8OWA4SDcYNdQ0tDPkM1wy3DIgMSgwVDAEMFgxDDG0MggyGDIwMnQyyDLIMiAw0C84Lcws2CxEK8grECoQKOwn1CbgJgQlJCQ0IywiICE0IIggNCAoIDAgEB+wHygevB6MHpQezB9MIFQiECQ8JjQnSCc0JlQlPCRAIzwhvB94HJAZaBZgE5wREA7UDSwMXAx8DUQOEA4YDKwJhATn/5f6i/Z382/xD+7L7HvqZ+kf6O/pt+sD7FPta+5H7u/vR+877rvt8+0X7F/r2+t/6yfqu+oX6Svn++aX5Sfju+JP4NffQ92n3Cva39nP2N/X99cT1kPVk9UD1HvT99Nv0uvSZ9Hb0TvQi8/jz0/Ov84fzWPMj8vLyyvKt8pjyhfJw8lbyNfIL8djxnvFk8Snw7fCv8G/wNPAB79fvse+J717vM+8S7wvvKu917+TwYvDP8QzxB/C+8Ebvv+9O7xDvEe9G75vv+fBV8K7xBfFX8Zvxz/H38hnyNfJD8jryI/Ia8jryh/Lj8yPzLfMD8rnyV/HN8Q3wG+8h7lTtzO117RzsmOvj6xnqXOnA6UPo3eiM6FHoLegX6APn6OfD55bnZuc55xfnCucT5yznSOdc52rnfOec58rn/egl6DjoMegS5+bnu+ej56nnyefx6AvoCefu58rnreee55znn+el56/nvOfI58vnw+e157Dnwufv6DLofejE6QXpQumA6cHp/uos6kTqReo26iHqD+oG6gbqDOoT6hrqIuoq6jbqRepY6m7qiOql6sXq6usU60Tre+u26/PsKuxZ7IPsrezg7RvtWu2U7cnuAe5N7rbvNu+78DDwjPDQ8QfxPfF38bryDvJ38vXzffQB9HX02fUz9Y716fZE9pr26/c895L37vhJ+J345vkm+Wf5sPoE+l/6vfse+4f79vxj/MD9A/0u/Uz9af2K/a/93P4e/nz+8v9r/84AFQBHAHkAsQDqARoBPwFiAYwBuwHmAgYCJQJPAooC0gMdA2wDyQQ+BMcFVgXdBlwG1wdNB7QH+wghCDYIUwiDCL8I+QkqCVgJlAnlCkMKmQrQCtUKpApFCc4JWgkACMsIuQi9CM0I4gj6CRcJOAlZCXgJlAmuCcoJ6AoICiUKPQpSCmoKigqwCtUK8AsECxYLLAtDC1ILWQtkC4ALtAvzDC8MZgyjDPENSg2WDb4NvA2cDV4M7AwmCwEJoQhRB1IGuAZkBiEFywVbBN4EYgPzA5wDbgN1A68ECwR0BNwFQwWoBggGWAaRBrcGzwbgBusG7wbwBvQG+Ab2BuQGwQaXBm4GSQYkBf0F0wWrBYEFTwUVBNYEnQRuBEEECwPKA4gDUAMjAvkCxwKPAlsCLwIHAdoBpgFzAU0BMgEYAPUAyQCaAG4AQwAT/+D/s/+R/3b/V/8u/wX+5f7Q/rr+mf5u/kX+Kf4U/fv92/29/az9pP2X/Xr9VP03/Sz9Iv0I/Nz8tfyp/K/8qPx6/DD77/vM+7j7kvtc+037pfxp/UH9q/1d/Hn7d/rO+qn63/sp+137fPua+7z71vva+8b7qPuL+3b7aPtf+1v7WftU+0n7Pfs4+zz7SftW+2H7bvuA+5T7ofuh+5X7h/t++3z7eftx+2b7XPta+1/7aftz+337hvuO+5j7ovur+7L7tfu2+7n7v/vI+8/70vvS+9b73/vt+/n8APwF/A38G/wu/Dz8Q/xE/ET8RvxK/Ez8TfxO/FD8VPxW/FX8VPxU/Ff8XPxk/G78evyF/Iv8jPyJ/Ib8gfx5/Gv8WfxJ/Dz8M/wm/BT8Avvz++v75vvg+9j70vvS+9X71/vU+9H7zvvL+8T7t/uo+5z7lvuQ+4L7aPtJ+y/7HvsS+wT68/ri+tT6yPq7+qv6mPqI+nn6a/pZ+kL6KPoN+fH51fm7+ab5lvmH+XX5X/lI+TH5HPkE+Of4xfih+H/4X/g/+B33+/fb97/3pPeK92/3V/dB9y/3HPcH9u720vaz9pb2e/Zh9kf2LfYU9f/17fXe9c31ufWj9Yv1cvVY9T31I/UN9Pr06PTS9Ln0n/SL9Hv0bfRc9Ej0MvQf9BD0A/P18+bz2PPM88PzufOv86LzlPOF83nzcPNs82vza/Nq82nzavNs82/zc/N584PzkvOh86rzqvOo86nzsvO788DzvPO487zzzvPm8/bz+vPz8+vz6fPn89/z0PPB88Dz1vQD9ED0jPTn9VL1xfYu9n/2s/bO9tv24/bu9v/3HPdG93b3pPfJ9+P39/gJ+Bb4G/gd+CX4Pfhk+JH4uPjY+PT5FPk4+Vz5e/mV+a75yPnb+eD51vnH+b/5wvnI+cL5r/mY+Y75nfm9+eD5+foH+hD6GPod+hz6Gvoi+j/6afqH+oP6Xvo1+i/6X/qy+wP7NftK+1f7b/uL+477Xvr5+nP56flz+Rj41vim+IP4afhW+Er4RPhA+DT4F/fq97n3kvd492b3Uvc19xH26vbC9pj2bvZL9jX2KPYc9gX14/W49Yj1U/Ua9OT0w/S+9M/03vTR9Jz0SfPu86HzbPNT807zUvNR80PzKfMR8wbzC/MX8xvzE/MD8vby8vLz8vXy9vL48vvy+/Lx8tvyv/Kl8pXyjvKQ8pfyp/K98tTy3fLP8qXyavIu8gDx5/He8d/x5fHw8gXyI/JE8l7ybPJx8nPyePKA8ovymvK08tjzAfMm8z3zRvNE8zvzKvMQ8vXy5/Lz8xfzR/Nz85LzoPOd84nzZ/NG8z3zX/On8/z0OfRI9C/0BPPh89Dz0vPh8/v0H/RH9Gv0gvSK9If0gvSA9Ib0lvSy9NX0+fUY9TD1RfVe9Xr1jPWF9V/1IfTh9LT0qfS99OP1DPUs9T/1R/VK9Uz1T/VT9Vf1XPVj9XD1hvWj9cb16fYN9jH2WvaK9sD2+Pcx92v3pvfl+Cb4Z/iq+PH5PvmT+e36R/qc+uv7NPt6+7/8A/xF/IX8wPz2/Sz9Z/2r/f3+XP7D/yz/jv/hACgAagC2ARUBhwICAnICzgMSA0gDeQOtA+UEIwRsBMMFJwWSBfcGTQaUBtMHEwdXB6AH6ggxCHYIugj/CUcJkwnhCi8KfArGCxALWwumC/IMPAyFDM4NGA1mDbcOCw5hDrQPBA9RD5sP5BArEG4QqxDhERQRSBF9EbUR8BIsEmoSqRLnEyITWxOVE9MUFxRhFKwU9xU/FYMVxBX/FjUWaRacFs8XBBc3F2gXlRe9F9wX8Bf3F/MX5xfYF8wXxxfJF84XzhfEF64XkBd1F2MXWRdRF0QXLxcYFwcW/hb3FukWzhaqFocWbhZjFl8WWRZOFj0WKRYRFe8VvhV+FTgU9xTIFKwUoRSdFJYUixR8FG4UZRRbFEwUNRQXE/kT3hPJE7QTnhOME4ATexN3E20TXRNOE0cTSxNSE1UTUxNVE2QTfhOZE64TxxP3FEoUvBUvFYcVuRXRFeIV9BYDFgUV/BXyFfIV+hX9Fe4VxxWRFVUVHRTtFM4UyRTeFQMVJBUvFSEVARTYFKcUbBQpE+kTuRObE4oTehNpE3YTbhNyE3oTehNvE14TTBM8EykTEBLyEtASqRJ7EkgSGhH+EfMR7hHfEcQRpxGYEZoRoRGgEZYRjBGQEaQRwRHlEhESSxKOEsUS2hLEEpESWRIwEh0SGhIfEiYSLxI9ElESaxKKEqcSvRLJEs4S0hLXEtgS0RLDErgSuRLCEsYSuRKVEl0SEhGtESkQiA/iD04O2Q55Dh4NyQ2VDacOFA7JD5YQRxDFERIRRBFnEXwRehFeETERAhDfEMoQwRC8ELcQrBCYEHgQTxAnEAkP9w/oD9APrQ+LD3QPaA9cDz4PCQ7LDpkOfA5oDk4OIg3vDcQNpg2LDWUNMg0EDPMNCQ02DV0NZw1VDTsNKg0hDQsM0wx3DBALuwuKC3ALUgsXCsIKaAojCf4J7QnaCbIJcAkgCNcIqQifCK8IwQi/CKUIgQhoCGIIZghmCGgIhQjVCVEJzgobChwJ5AmaCVoJIgjWCGIHxQcRBlkFoQTpBDMDjAMJArwCqgLFAuoC6QKUAdYAwP+C/k/9QvxZ+4T6vfoY+bP5ofnZ+kD6tfsg+3X7rfvF+777n/tz+0b7IvsH+vP65PrU+rn6i/pE+ej5g/ke+L74X/f795L3LfbT9on2SvYP9db1o/V59Vf1N/US9Oj0u/SQ9Gj0QfQY8/DzyPOg83TzRPMW8vHy2fLK8rvyo/KD8l/yOvIV8e7xwfGN8VPxEfDK8ILwP/AL7+TvxO+c72TvIe7n7tLu9u9T79TwUPCf8KLwT++47wHuWe3s7dHuB+5z7vPvb+/i8FPwzPFE8azx9vIm8kbyXvJp8mDySvJC8mPyt/Mh83LzgfNE8sfyHPFM8FnvSu457UHsdOvM6zfqqOog6anpRujy6KPoWegY5+fnw+ei53vnUOcm5wTm5+bL5rLmouak5rjm1+b35xXnN+dj553n3egV6DzoS+hF6DHoG+gP6A/oFugW6APn3uev54bnbudp53LnhOeb57Xn0efo5/Tn9Oft5+rn+Ogd6Ffomujb6RPpRul56bLp6uoa6jbqPOov6hrqCOoA6gTqEeoh6jDqOeo+6kPqTOpa6mvqgOqY6rfq4esW61HrjuvJ7AHsNOxk7JPsxOz87Trtee207evuKu5/7u/vcO/p8EPwePCW8LPw3PEV8WDxvfIv8rfzSvPb9F701fVG9bT2HPZ29sL3BvdQ96j4Dfhz+M35F/lW+Zb53vou+oP62Psv+4379Pxa/K/85/0E/Rb9L/1Y/Y39y/4W/nT+5P9a/8IAEgBRAIkAwwD5ASMBRAFmAZMByQH7AiICRQJxAq8C+gNJA5sD+QRsBPAFdgXxBmEGzwc7B5sH4QgKCCkIVgicCO4JNwluCZgJygoOClwKoQrFCrsKgAofCawJQAjwCMgIwwjTCOkI/gkTCSsJSQltCZAJsAnLCeMJ+woVCi4KRgpcCnUKlgq9CuQLBAsfCzgLVAttC3sLfwuHC6QL3AwjDGIMkgy9DPkNTA2kDeQN+Q3mDbMNWQy+C8kKhAkcB9QG2gYzBcIFXgTxBHkEBAOpA38DlAPnBGQE8QV0BeIGQAaQBtMHAQcaByEHIgcjByMHIQccBxYHDAb6Bt0GtQaKBmEGOgYQBeMFtAWIBV0FKwTxBLMEfQRQBCQD7AOnA2ADJgL+AtwCswJ/AkcCFgHrAcABkQFjAT0BIQEEAN0ArQB8AFAAKP///9P/qf+E/2H/Of8M/uT+yf66/qf+hP5W/i3+E/4C/ez9zP2q/ZT9if16/Vz9NP0X/Qv9Bfzw/Mr8pPyT/JD8gPxP/An7z/uy+5/7e/tP+1v74fzd/eT+Zv4N/QH7yfru+qf60Psc+1b7d/uP+6b7ufu9+7H7m/uC+2v7VftG+0D7QftC+z37Nfsv+zL7O/tF+0z7U/th+3P7g/uI+4H7ePtz+3b7eft1+2f7V/tO+077V/ti+2r7bvty+3f7fvuH+4/7lfua+6H7qfuw+7T7s/uz+7j7xPvT+9774/vl++r79fwE/BH8Gfwf/CX8Kvwu/C78K/wp/Cv8Mfw2/Df8Nvw0/DP8Nfw6/ET8Ufxg/Gn8bPxq/GX8XfxS/EH8Lvwd/BH8CPv8++v72PvL+8f7x/vG+8P7wPvA+8P7w/u++7b7rvun+537j/uC+3n7d/tz+2b7Tfsv+xT7A/r3+ur62vrJ+rr6q/qb+oj6dfpk+lX6R/o0+h76Bfnr+dP5uvmj+ZD5gfly+WH5S/kz+Rv5Bfjs+M74rfiL+Gv4TPgt+A337PfN97H3l/d992T3TPc09xz3A/bp9s72sfaV9nj2XvZE9iv2EPX29eH10fXD9bL1mvV+9WD1Q/Un9Qz08vTd9Mz0u/So9JD0ePRl9Fj0TfQ+9Cr0FPQA8/Dz4vPU88Xzt/Oq85/zk/OG83jza/Nf81TzTPNI80fzR/NH80fzSfNL80/zVPNb82Xzc/OD84/zlPOV85fzm/Oh86XzpPOk86zzvvPS893z2/PS88vzyvPI87vzofOF83nzifOz8/D0PPSa9Q71kfYM9mn2mvan9qT2pfa09tH2+vcr9173jPet98H3zPfV99735/fv9/r4Dvgt+FL4ePic+MD45vkL+Sj5O/lK+V75evmV+aH5mPmB+W75aflw+XP5avlZ+VD5XvmG+br57foY+jz6XPp0+nz6dfpt+m/6fvqH+nX6SPob+hb6T/q4+yj7e/um+7n7xvvH+6n7Wfrd+k/5zfln+R345fi3+JD4bvhS+Dv4Kvga+AP34fe094j3ZvdS90X3M/ca9vr21/az9ov2YfY79hv2APXj9cH1nvWA9Wn1UPUu9QT03vTI9Lz0p/R69DTz5vOn84HzbvNj81fzRvMz8x3zB/L38vPy+vMG8wzzCfMB8vny9/L48vvzAPMK8xLzEvMB8uDyu/Kf8pPykvKV8pfynPKp8rzyzPLH8qTyaPIm8fTx3fHf8e/yA/Ia8jbyWfJ98pbynfKW8ovyhfKF8ozymfKu8tDy9vMX8yjzJ/MZ8wTy7PLV8sjyzvLt8xvzRfNc81nzRvMt8xjzDPMP8y3zaPO08/f0F/QN8+nzw/Os86XzqvO188rz6/QT9Df0TfRQ9Ej0PPQ09Db0RvRk9I70vfTo9Qv1J/U79UP1NfUO9NL0k/Ri9E30U/Rs9Iz0rvTN9Oj0/PUK9RP1GfUe9ST1LPU49Un1YPV+9aD1xfXs9hX2QfZx9qP22PcP90j3g/fA9/34Ovh3+Ln5APlP+aP5+fpN+p766/s2+4D7yvwT/Fj8mPzS/Qr9RP2H/dX+LP6G/t//Mv+B/9EAKgCOAP0BbgHYAjICfwLFAwoDTAOIA7wD7QQmBHIE0gU+BacGBAZVBp4G5AcpB20HsQf2CDwIhQjOCRgJYwmwCf4KSgqUCt0LJQtvC7wMCwxaDKcM9A1ADY0N3Q4vDoEO0Q8fD2kPsQ/3EDoQeBCxEOcRHhFXEZERzBIIEkUShRLGEwUTQhN+E70UAhRPFJ4U6xUzFXYVthXzFi0WYhaSFsAW7hcfF1EXghesF8oX2xfeF9cXyhe+F7YXtBe2F7gXtBeoF5MXehdiF08XQhc1FyMXCxbxFtsWzRbCFrAWlBZvFk4WORY0FjgWORYyFiIWCRXmFbUVdRUsFOUUrRSLFHwUdhRwFGUUVRRFFDsUNhQzFCsUGxQCE+YTyROsE44TbxNTE0ATNRMuEyYTHBMVExYTGxMdExQTBBL6Ev8TEhMpEz4TWROQE/AUchT6FWYVqBXHFdUV3xXmFeQV3BXVFdoV5xXxFeYVxBWQFVYVIRT4FOEU4RT4FRkVMRU0FSAU/xTcFLcUihRRFBUT4xPDE68TnhOJE6cTjROCE4ATdxNhE0ETIBMEEuoSzRKuEpISeBJdEjwSGBH8EfAR7RHlEc0RrhGZEZcRoBGhEZMRfRF3EY0RvhH6EjQSahKcEsUS2BLKEpwSXhInEgUR+RH6EfwR+hH5Ef8SEhIyElMSaxJ3EnwShBKVEqsSvxLLEs8SzhLGErQSlxJ2ElQSKRHkEXIQ1hApD4sPCA6ZDi4NyQ2HDY0N6Q6FDzQPzhBEEJ4Q5xEfETkRLxEJENwQvBCxELIQrhCdEH4QWhA2EBcQAQ/0D+8P7A/hD8cPoA96D18PTQ86DxcO5A6yDpQOkw6fDqIOjQ5lDj0OIw4WDgoN+Q3pDecN+g4aDi8OKA4DDdENpA1/DVYNGQzEDGoMJAv8C+ULwAt3CxAKqAphCkcKSwpOCjcJ/wm2CXcJWwlnCYsJqQmqCZEJcwlnCXAJegluCU0JOAlRCZ4J/go9Cj4KCgnCCYIJTQkQCLoISQfGBzcGmgXsBSsEXgOVAuQCYQIeAhgCLQIoAdIBFAAB/sT9iPxm+2H6e/nB+UX5Gvk/+ab6MPrA+zn7iPuo+6D7gPtZ+zb7G/sD+vH64/ra+sz6rfpx+hj5rfk9+NT4cPgO96r3R/bs9p/2XfYi9ez1vPWU9XP1UvUr9Pv0x/ST9GP0NPQH89vzs/OO82bzPfMU8vXy4/LY8sjyqfJ+8k/yKvIR8fzx4fG58YXxSfEG8L7wdfAx7/Xvv++I70jvA+7L7rnu3u8z75rv5+/z76rvFe5R7Yzs9eyv7MbtLO297lTu4O9n7/rwo/FT8ezyVvKO8qTyq/Kq8qDyjfKA8o3yuvL28yHzF/LL8kDxhfCo77Luq+2g7J7rr+rW6hnpgukY6NjoseiM6FjoF+fX56Xnfudb5zPnCebl5snmseaW5nfmXuZW5mPmfeab5rbm0ebz5x/nUueF57Hn0ufm5+7n8Ofu5+fn2Oe955bnaudC5yrnI+cv50rnbeeV57rn2efw6ADoCugS6BvoKuhA6GDoh+ix6N7pDOk86W7poOnM6e7qAeoH6gTp/+n+6gjqG+oy6kPqSupH6kLqRepT6mjqgOqX6rTq3esV61jrnuvh7B/sWeyS7MntAu097Xrtt+3x7irubO7C7yzvmu/z8CXwNvA98FTwiPDT8SvxjfH88n3zC/Ob9CP0o/Ug9Zj2BfZe9qL23vcl94L38vhm+M75Jvly+bz6CPpV+p764vso+3j71vw1/IT8tPzI/NP87v0k/W/9wP4R/mf+yP8x/5n/9ABBAIQAwADyARgBNwFdAZQB2QIeAlcChgK4AvgDRAOWA+oERQSsBRsFiAXqBkUGogcGB2MHrQfjCBcIXgi/CSkJhQnGCfQKGwpFCmsKgwqCCmYKMAniCYcJMQjyCNcI3AjzCQwJIAkxCUcJYgmBCZ8JuAnMCeAJ+AoUCjIKUApsCokKqQrOCvQLFgs0C1MLdAuSC6gLsgu8C9QMAww9DHQMnwzJDQkNZA3KDhkOOg4vDggNxw1XDJYLdAoRCKsHgAamBgkFgQTzBGED6QOsA74EGQSpBUsF4gZeBrkG+wcrB0wHXgdgB1oHUgdOB0sHRAc3ByIHCAbmBr8GlgZvBksGJQX3BcMFjAVaBSwE+wTEBIoEVAQoA/8DzQOOA0wDFALrAsgCngJqAjEB/wHVAa4BhAFaATQBEgDuAMEAjQBbADIAEP/v/8r/o/99/1X/Kv76/tH+tv6k/o7+af49/hf+A/33/eP9wP2Z/Xz9bf1e/UH9G/z7/Oz85fzU/Lb8lvyC/HX8W/wn++X7sPuP+3D7RPsl+1b8Df0r/jb+nP4Y/Of7nfrC+ob6u/sT+1b7ffuU+6X7r/ut+6H7kPt9+2X7Svsz+yn7LPsx+zH7Kfsh+yP7Lfs5+0D7RPtM+1v7bft4+3n7c/tu+2/7cvty+2n7WvtL+0P7QvtG+0z7UvtX+1z7Yftl+2r7b/t4+4P7jvuX+5v7mvub+6D7qvu3+8L7yPvM+9H72Pvi++v79Pv7/AH8B/wJ/An8CPwM/BP8Hfwj/CP8IPwa/BX8E/wV/B38Kvw6/Eb8S/xJ/EP8Ovwu/B38C/v7+/H76fve+837uvus+6f7qPuq+6r7qvur+637qvuh+5T7hft5+2z7YPtW+1P7VPtU+0r7M/sX+v767Prf+tH6wfqw+p/6jvp7+mX6UfpA+jL6IvoN+fP52vnD+a/5nPmM+X35cPli+VD5Ofkh+Qn48vjZ+L34n/h/+GH4Qvgk+Ab36PfM97D3lfd692H3R/cr9w327vbP9rP2l/Z89mH2RvYt9hL19/Xc9cX1tPWl9ZL1d/VW9TX1FvT79OH0yPSy9KH0kfSB9G/0XPRL9D70MPQe9Anz9PPi89LzwvOy86Hzk/OF83jzaPNX80fzOvMx8yrzJfMj8yLzIvMg8x7zHfMf8yPzKvMy8zzzSPNX82Tzb/N283vzgfOF84jziPOL85PzovOv87TzrvOj85zznvOf85PzdvNS8z/zS/N287f0BvRl9Nj1WPXM9hr2N/Y19jP2SPZ49rb28fcj9073cfeK95b3mfea96H3sPfD99j37/gJ+CX4Q/hi+IL4pvjI+OP49vkF+Rn5NvlS+WL5W/lD+Sv5H/kk+TH5Ofk6+Tr5Rfll+Zn54Poz+ov62fsL+xT69/rK+qT6j/p8+lf6Hvns+ez6MPqn+yT7ffus+8P70vvS+6j7Rfqy+hf5l/lB+Qv44/i9+Jf4dPhT+DT4Fff299X3sPeH9173Pfcl9xT3APbn9sr2rPaP9nD2TfYp9gL11/Wq9YH1Z/Vi9Wj1Y/VB9QP0u/R/9FP0LvQC89DzpvOQ84vzh/N181bzM/MX8wXy+fLw8ury6fLt8vPy9vL48vry/vME8w3zGfMm8y/zK/MT8u3yxPKl8pXyjfKH8n7yefKB8pbyrfK08p3yavIs8frx5vHw8gzyLPJL8m3ykfKy8sXywfKr8o/yfPJ18nnyg/KY8rfy3PL88wvzBvLy8tjyv/Ku8qnyt/LU8vXzCfME8uvyzvK88r3yz/Lx8yLzYfOg88rz0/O785fze/Nw83HzdfN784vzqvPS8/X0BvQD8/Tz4/Pb897z8/QY9Ev0g/S49OL0/fUD9PL0xvSH9ET0EPP38/j0CPQd9DL0S/Rq9Iz0rfTF9NT02/Th9Oj09fUI9SD1PfVe9YD1pvXO9fj2JPZQ9n72r/bl9yD3Xfeb99b4EPhK+If4yPkQ+WD5s/oI+ln6p/ry+z/7jfvc/Cf8bfys/Oj9Jf1o/bP+Bf5Z/qz+/f9Q/6oADwB+AO4BVgGvAfsCQgKNAt0DKwNvA6UD1AQIBEwEogUCBWMFvwYWBmkGtwb/B0EHgAfBCAgIUwigCOwJOAmECdEKHQpmCqwK8ws8C4oL3AwwDIMM0g0eDWkNtg4FDlcOqQ73D0APhA/DEAEQPRB5ELYQ9BExEW4RqBHjEiASYxKoEu0TLxNuE68T9hREFJQU4BUmFWgVqRXpFiQWVxaDFqwW2BcJFzwXbBeSF6wXuhe+F7kXshesF6oXqxepF6EXkheAF20XXRdNFz0XKxcXFv8W4xbHFq0WmBaIFncWYBZEFigWFBYMFgoWCBX/FeoVyhWcFWEVHhTZFJ4UdBRdFFIUTRRHFDwULhQgFBYUEhQSFBEUCBP1E9cTshOLE2MTPxMhEwsS+RLoEtUSxhLAEsUSzhLSEsoSvRKzErIStxK9EsgS5xMvE6cUPxTWFU4VmRW/FdIV2xXfFdsV1RXTFdwV7BX2FfEV1hWtFX0VThUlFQcU+RT8FQgVDxUJFPgU5RTWFMgUrhSDFE8UIRQFE/YT5RPJE+MTtxOdE5ATfxNcEyoS+BLPEq8SkRJ2EmISWRJREj8SHhH5EeAR2BHVEckRsBGYEZARlBGTEYERYxFWEXERtxIREmQSohLMEuUS5xLNEpQSTBIKEeARzxHMEcoRwBG0Ea0RtRHLEeoSCBIhEjYSSxJlEoMSoxK/EtYS4BLXErgShxJTEicSAxHTEYURDhB9D+QPUA7CDjgNww1/DYYN2A5XDtwPUA+zEBEQbBC1ENcQzRCnEIQQehCKEKAQphCSEGYQMhAED+UP1g/TD9UP0Q/CD6cPhg9oD1IPQQ8qDwgO3Q65DqcOrQ68DsAOrA6GDl8OTA5RDmoOhQ6cDqsOuA7BDsAOqg5+DkEOAg3IDZANVA0QDM4Mmwx6DF4MLgvbC3ALCgrGCq0KsQq1CqEKcwo7ChQKEAovClwKfAp7CmIKSgpLCmIKdApjCi0J8wneCf4KOgpoCmcKOQn1CbEJcwkzCOoImAg/B9sHZQbVBikFYgSBA5ICrwH8AZYBdwFxAUQAvv/U/qj9aPw7+zP6UPmT+Qb4uPi3+QT5jfov+sb7MPtk+2f7T/su+w/68/rb+sj6vPq4+rT6pPp6+jH5zPla+Oj4ffgZ97n3W/cE9rb2cvY39gL10/Wp9YP1W/Uu9Pz0xvSR9Fv0JPPt877zmfN882HzQPMZ8vby3fLJ8rDyiPJT8iDx//H18fbx8PHZ8bXxi/Fb8SLw1/B88Brvve9t7ybu5+647qfuuu7p7xXvGe7c7l3ttO0E7HTsIewc7GTs4u167g/une807+fwufGS8kryw/L58wHy9fLo8tryx/Kw8pjyhPJv8k3yEfGz8TLwkO/S7v3uFu0k7C/rPepY6Y7o8+iR6GLoTug56BLn2+ek53bnVOc25xfm9+ba5r7mnOZx5kLmHOYM5hXmL+ZL5mTmeeaN5qPmuubR5ufm++cN5xznJucr5yjnG+cD5uXmyea45rbmxObg5wnnOuds55Xnrue858nn3ef66BvoNuhI6FLoXOhv6JDovOjt6R3pR+lr6YzpqunA6czpzenN6djp8eoS6i7qOeo06ivqLOo+6lzqfOqZ6rjq4esa62Hrruv67EHshezG7QXtQu1+7brt9+4x7mzurO7370rvme/Q7+nv8O//8CzwevDa8TzxnPIA8nLy8PNy8/D0aPTe9VL1vfYV9lv2nPbr91L3zvhP+Mb5LPmG+dj6Jvpt+qv64vsb+2H7tvwO/Fb8gPyP/Jj8tfzz/Uz9q/4D/lT+qP8G/2v/zQAkAG4ArADdAQIBIwFPAY8B4gI6AocCxwMCA0UDkgPmBDwElATtBUQFkgXZBiIGdwbZBzoHigfLCA8IZwjYCU8JtgoACjAKTwpgCmAKTQosCgQJ1gmgCWIJJQj5COkI9AkMCSUJOglPCWcJggmbCa8JwAnSCewKDwo3CmEKiQqsCswK6gsJCyYLQAtYC3ILkAuwC88L5gv5DBAMLwxWDH8MqgzgDTANmw4KDmAOhw6GDnAOTQ4EDWoMZgsPCacIcAeGBs4GHQVcBKEEHgP9BEME0gV9BhwGnQb8Bz8HageEB5AHkweMB4EHdAdoB1wHTgc6Bx0G+gbQBqQGegZSBiwGAwXSBZcFWwUkBPUEyQSYBGIEKwP7A88DoQNtAzUDAgLXAq4CgQJNAhgB6gHDAZ4BdwFNASUA/wDXAKgAdABEABz//P/d/7r/lf9x/0z/I/72/sz+rP6S/nX+UP4m/gf99v3s/dj9tP2L/Wr9Vf1D/Sj9Bvzo/Nf8y/y5/J78gfxs/Fn8O/wK+9H7oPt4+0v7GPsG+1T8Hf0q/fv+FP1Y/B/6/Ppd+lP6ovr/+0X7c/uW+7D7vPu2+6X7k/t/+2b7SPst+yH7JPss+y37IvsV+xH7Gfsm+zD7Nvs9+0z7Yftx+3b7bvth+1j7VvtZ+1r7VftL+z77NPsw+zH7OftC+0r7T/tQ+1H7VPtd+2n7dPt9+4L7hfuH+4r7kPuX+6D7qfuw+7f7vfvD+8v71Pvc++L75fvm++f77Pv1/AL8DvwU/BL8DPwE+/77+/v9/AL8DfwZ/CT8Kfwo/CP8G/wR/AP79Pvn+9z71PvI+7f7pfuV+4z7ivuK+4r7ivuM+4z7h/t8+2z7XPtO+0H7N/sx+zD7Mvsy+yn7Fvr8+uT60frB+rH6ofqQ+n/6bfpY+kH6Lfoe+hD5//no+c35s/md+Yz5fvlx+Wb5W/lL+Tb5HPkC+Or41Pi9+KT4ifhu+FL4Nvga+AH36ffR97b3mfd79173Qvcl9wT24vbC9qb2i/Zv9lP2NvYa9f714vXG9a31mfWI9XL1VfUy9RD08/Tb9MT0rPSW9IP0c/Rk9FX0R/Q69Cz0GvQF8+7z2fPI87fzpPOP83rzafNa80rzOPMl8xXzCvME8wDy/fL58vfy9PLv8uny5PLi8uTy6vLx8vjy/vMG8w/zGfMl8zDzOPM98z3zPPM980PzT/Na817zWPNP80vzUPNY81XzQvMp8x7zMvNk86nz9fRK9Kz1FfVw9aL1qfWg9a716vZL9rD2+vcj9zj3R/dW92D3Y/dj92v3fvea97b3z/fm9/z4Evgp+EH4Xfh9+J34u/jV+O75B/kc+Sf5IvkP+Pj46vjt+P/5Fvkp+TX5PflO+Xb5vPoh+pL69Pso+yD66fql+nL6WfpG+iL56vm/+cn6GvqW+wv7Uvtu+337lPui+4H7F/p0+cr5SPj9+Nn4v/ih+H/4YPhC+CD3+ffP96b3gfdd9zf3Evby9tj2v/ak9ob2afZQ9jr2JPYJ9eP1svV99VX1SPVX9Wz1aPUz9NT0aPQP89fzt/Of84zzgvOG847zi/Ny80nzIPMG8vry9PLt8uLy2/Lb8t/y5vLs8vTy//MQ8yPzOPNH803zQvMm8v7y1PKy8pfygfJr8ljyTvJV8m3yjfKi8p7yffJN8iPyDvIU8izySvJq8oryrfLK8tXyyPKn8oLyaPJe8mLyb/KG8qfyzvLu8vzy9PLc8sHyqfKa8pTylvKe8qTynvKK8nPyaPJy8o/ytfLf8wzzPPNo84HzfvNl80XzL/Mp8yvzLvMy80HzX/OE86PzsPOq85vzkPOQ853zt/Pe9A30P/Rq9Ir0mPST9Hb0RPQG88zzqPOe86jzufPJ89jz7/QQ9Df0XfR69Iz0mPSi9K/0w/Td9Pz1HfU+9WD1hPWs9df2BfYy9mD2kfbH9wH3O/d196335fgc+FX4k/jX+ST5dvnK+hv6Z/qy+v/7T/uh+/H8PPyC/MP9A/1G/Y392/4w/of+4P87/5oAAABqANIBMQGEAdACHQJuAsIDEANSA4gDuwP1BD0EjgTkBTgFiwXeBjIGgwbOBxIHUgeTB9oIJQhzCMEJDwleCawJ+ApACoUKygsTC2ILtwwODGUMuA0FDU8NmQ3mDjYOiA7XDx0PXA+VD84QCRBJEIwQzxEQEU0RhhG/Ef0SQRKLEtQTGhNdE6IT7BQ7FIwU2hUhFWQVpRXiFhkWSBZyFpwWzBcAFzEXWBd0F4gXlheeF6AXnhebF5sXmxeWF4cXbxdXF0UXOhcwFyEXCxbyFtgWvRahFoMWaBZUFkcWOxYqFhIV+BXiFdMVxxW4FZ8VeBVFFQkUzBSUFGYUQxQrFB0UGBQaFBwUGRQOFAAT9RPwE/AT6xPcE70TlRNpE0ETIRMKEvQS2RK3EpESdBJmEmgScBJ0EnMScBJxEnMScBJpEm4SmxL/E5QUOhTNFTkVfxWtFdAV6RX0FfIV6RXjFeUV7hX3FfcV7RXWFbQVhRVOFRUU5BTDFLEUpxShFJ8UpxS4FMcUxBSqFIAUWxRIFEEUNBQTFAwT1ROyE6ATiRNcExkS1hKmEogSdRJlEl4SZBJvEmsSShIUEeERxBG9EbkRqhGXEYsRihGEEW0RShE4EVYRpxIWEn4SyRLzEwIS9RLHEnwSJhHbEa4RnRGaEZcRjhGCEXgRdhF+EZERrRHQEfYSGBI3ElQScxKYEr0S1RLQEqISTxHpEYwRSREfEP4Q0RCGEBYPgw7ZDjINsA1zDYQNzg4rDoAOyQ8WD3YP4RA8EGwQbRBTED4QQhBcEHkQhxB6EFUQJg/6D9oPyQ/BD7gPqQ+TD3sPaQ9eD1cPTA82DxUO8Q7UDsUOww7HDsIOrg6ODnEOaA58DqoO4A8KDx0PGg8LDvUO2A6uDnMOLQ3mDaUNbg0+DRcM9wzaDLQMegwoC8oLdgs/CygLIQsYCv8K1wquCpgKoQrFCvILDwsLCvEK2grdCvULBgrxCrQKbApCCkkKbgqNCogKXAoYCcwJfgkwCOQInQhbCBYHxQdhBuUGSgWFBJEDgQKAAbwBRgEEALkALv9Q/jT9B/vx+wP6N/mF+O34gPhV+Hj45Pl6+hX6lPrk+wf7Bvrx+tL6tPqc+o/6ivqL+or6fvpf+ib50/ls+Pr4ivgi98T3a/cY9sn2g/ZH9hT15vW59Yr1V/Uj9O/0vfSL9Fb0G/Pe86nzhPNt81rzP/MY8u7yyfKq8ojyWvIi8fDx1vHX8eXx7PHi8c3xtvGf8XvxOfDU8Fvv5u+E7zbu9e6/7pzuke6W7pPubO4W7Z3tIOy87Ibshey17Q/thO4B7n7u/u+T8E3xJfH78qfzDvMv8yHzAPLc8rfyjPJU8g/xv/Fn8QvwrPBK7+DvZ+7X7i3tbOyZ673q3+oL6VDovuhd6CboCufz59bnsueO52/nVec65x/nBebs5s3mo+Zr5jDmAuXr5e3l/OYP5iHmMeZB5k3mUuZS5k3mSuZK5k/mWOZi5mrmauZg5lHmRuZE5k/mZeaG5rHm4+cS5zXnSOdQ51vndueh59Pn/egW6CDoKOg66F7ok+jM6QDpKelI6WTpfumQ6ZLphel36XnplunG6fbqE+ob6hnqHuoz6lPqeOqc6sLq8Osr63Lrv+wM7Fbsnuzj7SbtZu2k7ePuI+5i7p/u2O8P70Tvcu+V767vy+/88EnwrfEW8Xnx1fIz8pvzC/N68+L0RPSo9RD1dvXT9iT2dvbW90331fhd+Nj5QPmX+eX6Lfpv+qv64vsc+177qvv1/DL8Vfxh/Gr8h/zF/SH9h/3n/jz+jv7m/0b/pwAAAE8AkgDJAPMBGQFGAYUB2QI5ApUC5wMvA3YDwwQVBGsEwQUSBVkFlAXLBgwGYgbIBy0HgQfHCBAIbQjfCVMJsgn0Ch0KMgo2CicKBgnbCbEJigliCTcJEAj5CPgJCAkfCTYJTAlmCYQJoAm0CcMJ1gn2CiQKWgqQCsEK7AsSCzMLUAtoC3sLiQuUC6ILuAvWC/kMHAw5DFEMaAyDDKUM0w0WDXMN5Q5XDq8O3g7sDu4O6A6+Dj4NSQv2CowJUwhkB54GzgXiBQQEeQRvBN0FiQY2Br8HIAdmB5cHtgfEB8QHvge0B6YHkwd8B2QHTAc0BxYG8QbGBpgGaQY7Bg0F3gWoBWwFLwT2BMYEnQRxBD8EBwPPA5wDbQM/AxEC5AK4Ao0CXwIuAf8B0wGsAYYBXQE0AQwA5gC/AJIAYgAzAAz/6f/I/6P/ff9a/zn/Fv7u/sb+oP6A/l/+O/4W/fj95v3Y/cP9ov17/Vj9PP0i/QX86PzR/ML8tPyf/IP8Z/xR/Dv8HPvx+8P7m/ty+z/7DfsI+1/8GPzn/Vr9HPw9+yj6WvoV+kL6nfrt+yX7VPuF+7D7xvvB+677l/uC+2n7TPsx+yT7Jfss+yz7IfsQ+wf7CPsR+xr7Ivss+zz7Uvtk+2n7XPtG+zL7Kfss+zb7PvtA+zv7Mvsp+yX7KPsv+zf7PPs++0D7RftN+1X7XPti+2j7b/t1+3n7evt8+4L7jPuW+537ovum+677uvvG+8770fvS+9T72vvk+/D7+vv/+/77+Pvx++z76/vt+/H79/v9/AP8BfwE+//7+Pvv++b73PvS+8f7vPuv+6D7j/t/+3T7bvtq+2j7Zvtl+2H7W/tQ+0L7Nfsp+x/7F/sT+xP7FfsU+wr69vre+sf6svqg+pD6gPpx+mD6Tfo3+iD6Dfn++fH54PnJ+bD5l/mB+W75X/lS+Uf5Ovkn+Qz47PjO+LX4n/iJ+HH4WfhB+Cn4Evf99+r32vfH9633jfdp90j3KvcN9u72zfat9pD2dPZX9jf2FvX49dz1wPWm9Y31ePVj9Un1KvUI9On00PS99Kr0lfR+9Gn0VPRC9DL0JfQZ9Azz+vPi88rztPOh843zdvNc80TzMfMh8xHy//Lu8uHy2fLV8tLyy/LD8rrysfKp8qDymfKT8pHykvKV8pXyk/KP8o7ylPKg8q3yt/K58rXyr/Kt8rLyvvLM8tXy1vLS8tLy3PLs8vny/PL68wTzKfNl863z8/Q39IP00/UW9TX1MfUn9UT1oPYm9qj2/Pcb9xv3GPcf9yv3NPc690T3Vvdu94f3nfex98b33ffy+Aj4IvhD+Gn4kPiy+Mz43vjq+O/46/jf+M/4xPjF+Nf49PkS+Sf5MPk5+VP5i/nf+jn6ePqE+lr6FPnZ+cT50/nm+eD5wPmn+cL6HPqX+vr7Jvsp+y77S/to+1H65fo1+YD4/fi8+KP4kfhz+FD4M/gb9/330veh93P3Tvct9wn24fa89p32g/Zn9kj2KfYO9fz17/Xd9b71kPVf9T31N/VJ9Vr1SPUC9JT0H/PG85Tzf/N082zzafNt83Xzc/Ng80HzIvMN8wDy9vLq8t/y2vLb8uDy4/Ll8uvy+vMS8y7zSPNZ81vzTfMw8wvy4/K98pzyffJg8kjyPPJA8lfyePKX8qfyoPKH8mnyVfJO8lTyYfJz8ozyqfLB8sjyuPKX8nXyXvJY8mDyc/KQ8rfy4PL+8wPy8PLN8qrykvKD8nnybvJh8lHyPfIt8inyOfJc8onytPLV8vLzDfMl8zHzKPMO8vHy3/Ld8uLy6PLu8v3zFvMz80rzUvNP80rzTfNa83DzifOl88Hz2vPs8/Tz8/Pp89TztPOO82rzU/NN81PzX/Nu84LznvPC8+n0DPQo9ED0VPRp9H/0mPS29Nf0+fUY9Tf1WfWB9a/14fYU9kf2e/ax9uf3HPdP94P3uPfv+Cj4Yvik+O35PvmQ+eD6LPp3+sX7F/tq+7v8CPxT/Jr83f0f/WP9sP4H/mb+yf8q/4n/5wBFAKIA/AFRAaQB+gJQAqIC6AMhA1QDiwPPBCAEdwTLBRoFZAWuBfgGRAaOBtcHHgdlB64H+AhECJII4wk0CYQJ0AoYCl0KpAruCz8LlQvvDEgMnQzsDTUNfA3EDhEOYA6uDvUPNQ9vD6gP5RAnEG0QshDzES8RZhGeEdwSIBJrErcTABNHE48T3BQvFIQU1hUiFWYVoxXZFgkWMxZeFpAWxxb9FykXRhdXF2QXchd+F4EXfhd4F3cXexd6F20XVhc8FygXHRcSFv8W5RbLFrQWnhaDFmEWPxYmFhsWFxYLFfIVzxWsFZMVhBV0FVoVMRT8FMUUlRRqFEMUHBP6E+YT5xP5FBAUGhQQE/gT3xPQE8oTwxOyE5QTbhNHEyUTCxL2EtwSthKEElASKBIWEhcSHBIcEhgSGhIlEjESMhIsEjoSfBL/E6wUVRTVFSUVWxWNFcIV7xYFFgIV8RXgFdYV1hXaFeEV5hXiFcoVmBVPFPoUqxRvFEoUPBRAFFIUchSYFLoUxxS8FJ8UhRR6FHcUaxRFFBET1hOwE5sTgRNNEwUSwBKYEo8SlBKXEpoSpxK6Er4SnxJbEgwR0xG4EbARpxGaEZARixGCEWcRQREsEUQRkxIBEmwSvRLuEv8S7xK4EmAR/RGtEX8RcRFwEW8RaRFkEWARXRFaEV0RbhGPEbgR3xH8EhMSLRJSEnwSmxKXElsR5BFFEKIQIw/jD98P/BALD+MPcg7JDhYNjw1WDWgNow3fDgsOMw5xDtMPSA+wD/AQBhADEAAQCRAdEDIQPhA8ECsQDg/tD9EPvw+1D6gPkw96D2cPYg9qD3IPbA9UDzAPCg7sDtoO0w7SDtEOyw69Dq4Oqg67DuAPDQ8tDzEPHA77DtoOvg6dDm4OLQ3lDaMNcg1TDT8NLA0RDOcMrAxmDCAL5gu9C6ELiQttC0wLKQsNCwALCgsqC1MLbgttC1QLOQswCzoLQAsmCuoKpQp6CngKkAqeCosKUgoECa0JVQkACLAIbAg0CAQH1geiB2EHAAZpBY8EfwNkAnEBvQE5ALP///8M/e78z/vP+vn6QfmW+Pb4c/gk+Bv4VvjC+UP5wvos+nX6lvqS+nf6WfpL+lL6Y/pu+mf6Tfom+fL5r/lb+Pf4jPgn98v3d/cm9tf2jfZN9hn17fXC9ZH1WfUg9Or0uvSM9Fr0H/Pg86bzevNe80nzLvMJ8t3ytPKQ8mzyQPIO8eLxyvHJ8dTx2PHO8b3xsPGo8ZXxZPEQ8KjwRO/w76nvZO8g7uruz+7K7sXuqO5t7ijt8+3j7fbuIe5Z7pzu5+8274jv5PBa8PTxpfJQ8s3zB/ME8tfyl/JN8fnxmvEw8MPwV+/x75TvQu767rPuYu377Xjs2ewm62jqqen26Vro2+h96DroC+fo58/nu+er55nngedh5z/nIOcD5uPmueaE5k7mI+YK5f7l+OX05fPl+eYG5hTmHOYa5hLmCeYC5gDmBeYO5hjmHOYX5gzmBOYG5hTmLOZL5nDmmebB5t/m8+cB5xPnMedZ54XnrufR5/ToG+hO6I3o1ekd6Vrph+ml6bnpw+m+6aXpe+lT6UPpWOmK6cTp8uoQ6iLqNOpM6mnqiOqq6tDq/+s463jrvewF7E/smOzh7SbtZ+2n7efuK+5v7q7u4u8I7yXvQO9i75Pv1/Au8JHw9/FX8bPyD/Jx8tvzRPOl8/r0SvSe9Pz1XvW/9h32gfb193z4DfiW+Qn5Yvmp+en6Kvpu+rT6+Ps7+3z7ufvv/Bf8MPw7/Ef8YfyZ/O39U/26/hr+c/7K/yT/gP/aADAAfgDDAPoBJQFOAYEByAIjAocC5wM+A4wD1QQhBHAEwgUQBVMFjAXDBgYGXQbDByYHeQfACAsIaQjUCToJhwmzCckJ0gnTCccJrwmNCWkJRgkmCQoI+gj6CQoJIQk1CUkJYAl/CZ8JuQnLCd4KAAo4Cn8KxQr8CyYLSAtrC5ALsAvIC9QL2QvcC+IL8gwNDDAMVQx0DIwMowzADOgNHQ1kDb4OKg6ZDvUPMQ9SD2gPeA9kDvUOCAyxCzkJ8Aj0CCIHQwZHBV8E2QTkBWoGIgbIBz0HigfDB+0IAwgEB/YH5gfXB8YHrQeMB2sHTQcyBxMG7QbBBpAGXgYpBfUFwAWKBVEFFQTaBKQEdgRLBBwD5gOtA3YDRAMXAuwCwQKWAmsCQQIVAegBvAGRAWcBPAETAO0AyACjAHgASgAd//X/0v+v/4n/Yv89/x3+/P7Z/rT+j/5t/k3+LP4K/e391f3A/aj9i/1q/Ub9Ivz+/Nv8wPyw/Kf8nPyH/Gv8Ufw6/CH8APvZ+7P7k/tv+z37EPsP+1777/x0/JD8G/tD+nT6CPoS+mH6s/ro+wv7Nfts+5/7uvu6+6j7lPuA+2v7Ufs5+yr7Jvso+yb7H/sU+wv7B/sI+wr7D/sY+yj7PPtL+0/7RPsu+xf7CfsH+w77G/so+zH7NPsx+yr7JPsg+yH7I/sn+y37Nfs++0T7R/tI+037V/th+2j7a/ts+3L7fPuG+4z7jPuO+5b7pfu0+7/7xPvG+8n7zvvV+9z75Pvq++v75vvf+9r72Pva+9z73vve+9/73vvb+9P7yvvB+7z7ufuz+6v7n/uS+4T7dvtp+177VvtR+0z7R/tB+zr7Mfsn+xz7EPsG+v36+Pr3+vr6/fr7+vD63frE+qz6lvqF+nb6afpc+kv6N/oh+gr5+Pno+dj5xvmv+Zj5gPlo+VH5O/kq+Rz5C/j0+NP4r/iN+HP4W/hD+Cn4Dvf19+D3zve+97H3pveX9333WPcv9wr26/bP9rP2lPZz9lT2NfYU9fL10fWz9Zj1f/Vo9VH1OvUh9QP04fTB9Kf0lfSH9Hf0YvRK9DL0GfQC8+3z3fPR88XztPOd84TzbPNW8z/zJvMM8vby5fLX8snyuvKr8qHynPKY8pHyhvJ28mTyVfJJ8kLyPfI48jPyLvIr8ibyHvIT8gryCvIT8h/yJvIl8hzyE/IQ8hXyIvIz8kPyTfJR8lbyZPJ88pfyrfLB8tzzDPNP85jz2vQX9Ff0nvTc9Pr09fTr9Qj1Z/X19oL24PcD9wD29fb29wD3DfcX9yD3K/c390T3VPdp94X3pPfC9+H4Afgl+Ev4bfiH+Jn4pfiu+LX4uPi0+Kv4o/il+Lb41Pjz+Qr5F/kk+T/5bvmm+dD51Pmq+WP5IPkE+Rz5WfmV+bH5rfmq+dL6Lfqd+u77CPr/+wD7IvtG+zL6wfoK+VL40/ic+Iz4efhU+Cn4CPfv99L3pfdv9z33F/b39tb2sPaN9nH2XPZF9ij2BvXo9dT1x/W39Z31efVS9Tj1MPUz9S71CfS/9Fzz/fO485HzfPNr81jzSPNC80bzTPNM80XzOPMn8xTzAfLw8ujy6fLu8vHy7vLq8uzy+fMQ8yvzQ/NS81XzS/Mz8xLy7PLH8qbyivJz8l7yUfJO8lnycvKR8qzyuvK68q/yoPKR8oPyefJ28n/ykfKj8qnyn/KK8nbybPJu8nrykvK18uLzDPMg8xPy6PKw8oPya/Jk8mTyXvJR8j7yLvIn8jDyS/Jz8p3yv/LW8uPy6/Lv8ujy0vK08pvykfKY8qbysPK28rzyyfLZ8uby7PLv8vXzAvMU8yXzM/M880PzRvNF8z/zNvMx8y3zKfMh8xbzCvMC8wHzCPMZ8zPzVfN6853zu/PZ8/n0G/Q79Ff0cvSO9K700fTx9RH1MvVa9Yr1vvX09in2X/aV9sr2/Pcs9173k/fL+AP4O/h4+L35Cvla+aj59fpF+pj67ftA+4372Pwi/Gz8s/z2/Tv9h/3h/kT+qv8L/2X/uwAQAGUAugEPAWYBvwIXAmUCpQLYAwkDRAOOA+YEQgScBO0FNwV7BbwF/wZFBpAG3wcvB3wHxwgRCF8IsAkCCVEJnAnlCi4KeArGCxgLbgvHDCEMeAzJDRINVw2bDeIOLg57DsYPCw9LD4oPyhANEFIQlhDWERERShGDEcASBBJPEpwS6RMzE34TzRQiFHsU0BUdFV4VlRXEFe8WGhZKFoEWuxbwFxYXLBc5F0QXUBdYF1gXTxdHF0kXUxdcF1gXRBcpFxMXAxbzFt0WwRanFpMWgBZmFkEWGhX9FfEV6hXbFboVkBVqFVQVShU/FSQU9hTBFJEUbhRSFDEUCBPfE8oT1BP4FB0ULRQcE/cT0RO4E6gTmBOAE2ETQBMhEwUS6RLMEqkSexJEEg4R6xHiEewR9BHuEd4R1RHeEe8R+hH+EhcSaRL/E7sUZhTaFRoVRBV2FbIV5BX4FewV0RW3FacVoRWiFaoVthW7FaoVeRUtFNYUhRRKFCsUJBQyFEwUbRSPFKwUuxS5FKoUmRSPFIgUdxRNE/UTvROWE30TYhMxEvESvhKwEscS6hL/EwAS/hMEEwQS5hKfEkQR9BHFEbARphGbEZMRjRGDEWoRRhExEUURhxHlEkASiRK7EtYS0BKeEkQR3RGKEV8RVBFTEU8RSBFGEUkRShFGET8RQhFWEXYRlhGuEb8R1RH1Eh0SOxI7EgURjBDXEAUPRg7MDrEO4Q8oD0MPCw6DDd4NWA0XDRkNOw1bDXANiw3FDiMOlA76D0MPcQ+QD6oPwA/PD9kP4Q/pD+wP4w/SD8EPuw+8D7oPrA+VD4MPgg+QD50PmQ9+D1MPJg8DDu8O7A72DwUPEg8UDwsO/Q74Dv8PCw8ODv8O3g65DpwOiQ53DlgOJw3rDbINiQ1wDWINVA08DRgM6gy5DI0MZgw+DBAL2wunC34LYwtVC1ILXgt8C6MLwQvEC6kLgwtqC2MLXQtCCwsKzwqrCqcKsgqpCnkKJAnBCWIJDQjBCHsIPQgMB+oH1wfMB7gHfwcFBjwFOgQqAzoCfwHiAToAX/9N/h/8/vwG+zf6fvnL+R34h/gg9/T4APg2+Iz49flj+cL5+fn/+eL5xfnF+ef6GPo3+jD6CPnO+ZT5Wvka+M34dfgc98v3gPc19ub2lvZN9hP15fW99ZH1XvUm9O/0vfSO9Fz0JPPm86fzcvNK8y3zE/L08s7yp/KD8mHyPvIX8fHx1vHJ8cPxuvGo8ZPxg/F48WrxTPEd8Orwv/Cd8HbwQfAG79nvz+/i7/fv9O/W77Tvq+/C7+3wFfA08FDwcfCY8MLw8PEw8Y7yAvJu8rHytvKB8ibxt/E78LPwJO+Z7x/uvu527kTuH+4B7eHttO1y7RTsnOwN62/q0Oo86bzpUej26KjoZOgv6Azn+efv5+LnyOeg53HnRecf5vzm1uat5oXmZuZO5jnmIOYF5fDl6uX05gTmEuYa5hzmGuYX5hLmDeYK5grmB+YA5ffl9uYB5hnmO+Zh5orms+ba5v3nHuc/52Xniuep58Dn2egA6EDol+j66V3pt+oE6kLqbeqG6o/qhupq6jrp+um96ZXpi+md6cDp6OoS6jzqZOqG6qDqterL6ufrC+s162froevl7DHsgOzM7RHtUe2N7cruC+5Q7pHuyO7t7wfvI+9U76LwCfB38N3xMvGA8dLyMvKg8xLzevPT9CL0bvTA9Rn1dvXU9jb2pPcl97j4TvjS+Tj5f/m4+fH6NvqG+tr7K/ty+6r70/vt+/78CfwT/CL8PPxq/LH9EP17/eb+Sf6k/v3/V/+1ABYAdADKAQ8BQAFlAYwBxQIXAnwC5wNIA5wD5AQnBGwEtgUBBUcFhwXFBgoGXga5BxEHXgemB/YIVgi+CRcJUwluCXQJdAlxCWkJWQlBCSUJCgj2CO8I+QkRCS0JRQlUCWQJfQmeCb4J1gnoCgQKOgqJCt8LJwtTC2wLgguiC8sL9AwPDBsMGwwaDB8MLwxJDGgMhAycDLQM0w0ADTcNcg2wDfkOVA6+DyQPcg+jD8UP3w/YD3sOmg0/C7IKSwk0CFUHdQaDBasFOAVUBeQGmwc2B50H4QgVCDwISgg9CCEIBQfxB9sHvAeVB24HTQcvBw0G4gayBoAGTgYZBeMFrQV5BUUFCwTLBIwEUwQiA/UDxQOSA14DLgMAAtICpAJ4Ak4CJwH/AdMBpAF2AUkBIAD4ANIArACEAFkAK////9j/tf+T/2//SP8j/wD+4f7B/qD+f/5e/kD+Iv4F/ej9zP2x/Zb9ef1b/Tj9EPzl/L78o/yX/JH8iPx2/F38Rvww/BT78PvK+6j7i/tl+zL7Afr5+zD7kPvU+7v7OvqO+g757/ol+nr6vPrh+v/7Kvtf+4z7pPum+5z7kPuB+277WftF+zb7LPsk+x/7HPsb+xr7FfsP+wj7BvsK+xT7IPsr+zH7MPso+xz7D/sF+v/7APsL+xv7LPs1+zP7Kfse+xb7EvsT+xf7IPsq+zH7NPs0+zf7QPtL+1T7Wfte+2b7cft8+4D7f/uA+4f7lfuj+6z7sfu1+7n7vvvE+8r70vvb+9/72vvQ+8X7v/u/+8D7v/u7+7n7t/uy+6n7nfuU+5H7k/uV+5H7h/t5+2v7XvtS+0j7QPs6+zT7Lvsl+xz7E/sJ+v768Pri+tj61frZ+uL66frp+t76yfqv+pX6f/pw+mT6WvpO+jz6JvoQ+fz56/na+cf5r/mV+Xz5ZPlM+TD5Ffj++Ov41/i7+Jf4cfhQ+Db4HvgD9+P3wvem94/3fPdt92D3VfdG9y33CPbe9rf2mPZ/9mX2RvYj9gD13fW79Zn1efVb9UH1KfUS9Pr04PTC9J70efRa9Eb0OfQt9Bv0BPPq89DztfOb84PzcPNj81jzSPMz8xrzAfLr8tTyvvKr8pzyk/KK8n/ycPJi8lfyT/JH8j7yL/Ib8gXx8fHl8eLx4vHh8dvx0/HN8cjxwfG48a7xq/Gx8bvxwfG+8bbxr/Gu8bTxwPHQ8eHx8fH88gbyF/Iy8lTyc/KM8qjy0/MR81rzovPn9DD0fvTE9Ov07PTe9Ov1MvWu9jb2ofba9un25vbi9uP26fbu9vP29Pb09vn3CPck90r3c/eb98L36/gU+Db4TPhV+Fr4Yvhx+IL4jfiP+Ij4gviF+Jf4s/jP+Ob4+fkU+T75cvmc+aT5gfk++Pj4zfjP+P35Qfl++aD5qvm4+eX6OPqW+tj66/rl+uz7Efs0+x36q/n4+Uf40/ik+Jf4gfhS+Br37ffL96b3dfc79wj24/bG9qj2h/Zp9lX2SPY39h31/PXe9cb1tPWg9Yf1bPVV9UP1M/Ue9Pn0wfR69C/z7vO985jzePNY8zjzH/MU8xfzJPM180LzRfM78yjzEvMC8v3zAPME8wTzAPL98wHzDPMa8yfzMvM880TzRfM48xvy9fLQ8rTyo/KW8ojydvJo8mbycvKJ8qPyufLI8tHy0fLE8qzyjvJ28m3ycvJ88oPyg/KB8oLyiPKT8qTyvvLk8xLzNvM78xby0fKI8lfySvJb8nTyhfKJ8oLyefJ18nryiPKd8rTyyPLV8tfy0PK+8qLyf/Jh8lHyVfJl8nTyePJw8mTyXvJi8mrydPJ88obykvKb8p7ymfKU8pLylPKW8pXyk/KW8qHysvLB8svyzPLH8sPyxvLT8uzzDfMw81HzcfOX88Pz8vQb9Dr0U/Ru9JD0t/Te9QH1I/VL9Xn1qvXc9g72QvZ39qz23vcP90H3d/et9+T4G/hW+Jn44/kw+Xz5yvoc+nT6zPse+2j7rvv1/D78h/zN/RX9Y/28/h7+gf7c/zH/gv/TACUAdgDGARgBbAHAAgwCTAKDArgC9wNDA5oD9wRUBK0E/gVFBYQFwQYCBkwGnQbxB0IHjwfcCCwIfQjMCRkJYwmvCfwKTAqdCu4LQguZC/MMTQyiDO4NNA12DbkOAQ5NDpkO4g8pD2wPrw/yEDUQdxC5EPcRNBFvEa4R8RI8EosS2hMnE3MTwxQZFHIUxhUOFUcVdhWiFdAWAhY3Fm4WohbQFvQXCxcaFyUXLRcvFysXIhcgFykXOhdFFz8XKBcJFvAW3hbOFrgWnhaEFm8WWxZAFh4V+hXhFdEVwRWlFXoVSxUpFRsVFxUMFOoUtRR+FFYUQxQ5FCYUBBPgE9ET4xQMFDEUOBQbE+wTwBOiE4sTcBNPEy8TFhMAEucSyRKnEoUSXxI0EgkR7xHxEgYSFhILEegRxxG/EdAR5RH3EhUSZRL2E68UXBTUFRkVRxV5Fa8V1BXYFb8VnhWFFXcVbRVoFWoVchV3FWsVRxUQFNQUnhR3FGIUXxRoFHcUgxSLFJIUmBScFJgUjBR+FG0UVRQtE8oTmBNtE1ETOBMVEusS0BLcEw0TQxNbE04TLhMUEwES4RKjEk4R/RHGEaoRnBGQEYYRfxF1EWARRhE7EVIRjhHcEiMSWRKCEp8SoRJ4EiMRvhFsEUMRORE4ES4RHxEYERwRIhEhERgRExEaES0RRBFYEWcReRGREa4RyRHXEcURfhDwECEPNw5vDf4N8A4jDlQOTA35DXsNBAy4DJ4MoAyqDLcM0w0NDWINwA4YDmUOrQ72DzgPaA+AD4oPkw+jD7UPvQ+6D7cPvw/QD9wP1w/DD7APrQ+5D8YPww+mD3gPRw8iDxIPGQ8xD08PZQ9nD1MPNA8VDv8O7Q7YDrsOmQ58DmsOZQ5fDlAOMw4MDeENvA2hDY0NfQ1qDVMNOA0fDQgM6gy5DHEMGwvNC5oLhguGC5ELpQvGC+8MDgwPC+0LuwuVC4QLegtgCy8K+grbCtYK1gq2CmgJ+AmCCSAI2AifCGsINggHB+gH4AfnB+YHuAc/BnYFewSCA7UDGwKVAfIBD//v/rP9ifyJ+7D65vod+Vn4sfg79//38fgD+DD4d/jQ+SL5UflM+SL4+vj5+Sj5cPmo+bX5lPlZ+R746/i7+IT4Q/f/9773gvdD9vv2qPZW9g711vWq9YH1VPUh9Oz0t/SE9FH0GvPf86DzZfM18xTy/PLl8sbyoPJ58lnyPvIj8gTx4/HF8a3xmvGG8W/xWPFD8TLxJfEi8SzxQ/Fa8V/xTfEz8SzxRfFy8ZDxhvFZ8SvxG/Ev8VHxbPF78Yvxp/HK8ebx9vII8izyZvKc8qnyc/H98VzwqO/w7z/un+4Z7bbteO1Y7UztSu1M7UntPO0g7PDsp+xE68zrSerM6l7p/+mo6VHo++iv6HfoVuhE6DToGefu57nnhedX5zHnDubr5svmsOaY5n7mX+ZA5inmJOYs5jrmQ+ZG5kXmQOY35inmGeYM5gfmCeYS5iHmOuZe5ovmvebx5yfnXOeM57nn6Ogh6GTooejI6NXo3ej+6UrpvOo76q3rButJ63vrnuuv66/rnOt660jrC+rI6ojqUeom6g3qDOoo6lrqlOrD6uLq9OsC6xPrJes661brguvD7BPsZ+y07PbtMe1o7Z/t2+4d7mLuou7X7wHvLu9y79PwSPC68RTxV/GV8eLySPK88y/zlfPt9EH0l/Tv9UT1lvXp9kb2t/dA99j4bfjp+UP5g/m8+gD6VPqy+wv7V/uS+7v70fvY+9f72Pvh+/T8EPw5/HX8yv01/an+GP58/tj/Nf+YAAIAawDLARgBUAF4AaEB2gIrAo8C+QNeA7YEAQRGBIkEzQURBVUFlwXZBh0GZAauBvUHOgeFB9wIPwijCPcJLglICVAJTglFCTQJGwkBCOsI4AjlCPwJHglDCV8Jbgl2CYMJnQm/Cd4J9AoKCjEKdQrPCycLZwuIC5gLqgvLC/kMJQxBDEoMRAw+DEMMVgxyDI4MpAy3DNINAA1BDYgNxA3xDiAOZw7NDz8Png/ZD/sQFBAUD8gO+g2kDAcKgAlJCFgHfAafBeMFigW1BkgG9weEB98IGQhICGsIdAhiCEEIIwgKB+0HxQeUB2gHRAckBv4GzwacBmsGOwYIBdIFnAVoBTcFAAS/BHoENwP+A84DogN2A0kDHALuAr4CjAJdAjMCDQHmAboBiwFeATQBDQDmAL0AkwBnADsAD//k/7z/mP91/1L/Lv8K/uj+y/6w/pX+d/5Y/jr+Hv4E/ev9z/2x/Y/9bf1M/Sn9BPzd/Ln8ofyT/Iz8gPxu/Fn8RPwu/BL78PvL+6r7ivtd+yD65vrN+uT7Efsi+u/6g/oT+dn56Pok+mf6mfrC+vL7Kftd+3/7j/uV+5j7lPuH+3P7X/tR+0b7Ovsr+yD7Hvsi+yb7I/sZ+w77BvsE+wX7CPsO+xf7Ivst+zL7Lvsh+w76/vr4+wL7Ffsn+zD7Lfsl+xz7FfsP+wv7DPsT+x37Jfsn+yj7LPs0+z37RftM+1X7Yfts+3L7dPt4+4D7jPuU+5j7mfud+6T7rPuz+7v7xvvR+9b70PvB+7L7qfun+6b7ovuc+5j7lvuV+477g/t6+3j7ffuC+4H7eftr+1z7Tvs/+zL7KPsh+xv7FPsM+wX6/vr1+uj61vrE+rj6uPrB+s/62frZ+sz6tfqZ+n76aPpa+lL6Svo8+ib6Dvn3+ef52/nN+bb5mPl5+V35Rfku+RP49/jd+MX4rPiM+GX4Pvgg+An38/fY97b3k/d29173SPcz9x/3D/b/9un2yval9oH2ZPZN9jT2FvXy9cz1p/WE9WP1Q/Uj9QT05vTJ9Kv0i/Rl9Dv0E/P08+Lz1/PK87Xzm/N+82TzSvMx8xrzB/L58u3y3fLI8rLynPKK8nnyafJe8ljyVfJP8kTyNPIj8hPyBvH78fHx5PHU8cDxrPGg8aDxpfGn8aDxlvGP8Y7xj/GN8YfxhPGJ8ZPxmvGb8ZjxmfGe8aTxq/Gz8cDx0vHj8fLyBPIe8j7yXPJu8nzylPLD8wrzXvO39BL0bPS59Ob07PTa9Nb0//Va9dP2SPaf9tH24vbf9tT2yvbE9sD2u/a39rz20/b69yj3U/d596D3zPf5+Br4Kfgp+Cj4MvhH+F/4bfht+GT4XPhf+HD4i/in+L/42vkD+T35e/mj+aL5ePk++RP5B/kb+UD5ZvmD+ZP5oPm3+ef6Lvp7+rP6yfrM+tr6/fsb+wT6nvn/+WD49PjE+LD4kfhZ+Bj33vev93/3R/cN9t32u/ag9oX2Z/ZP9j/2NPYl9g318vXX9cD1qfWP9XX1Y/VY9U31NfUG9MT0e/Q39ADz0/Or84LzWPMx8xLy//L38vvzB/MZ8yvzNvM08ynzHPMT8xLzFPMT8xHzEvMa8ynzNfM38zDzKPMq8zfzRPNC8ynzAfLb8sTyu/K28qfyjfJ08mfybPJ78o3ynvKx8sny2/Lb8sPymvJy8lryVPJZ8mDyafJ18ojynvK08sry5/MP8zjzT/M/8wTysvJo8kXyUPJ88q/y0/Lg8t3y0vLH8r3ytfKw8rDys/K08q3ymPJ58lXyN/Il8iXyMPI78jjyI/IA8d/xzfHO8dvx6/H48gHyBfID8frx7PHi8eTx8fIC8hDyGfIi8jLyS/Jp8oTylfKc8pryl/Kb8qvyxvLp8w/zOfNo857z1fQD9Cb0Q/Rk9I70vvTr9RD1MPVT9Xz1qfXX9gP2MfZj9pb2yfb59yr3XPeQ98X3/Pg5+H/4yvkW+WD5q/n6+lD6qPr6+0T7iPvM/BT8Xvyn/PL9Q/2c/fr+Vv6s/v3/TP+d/+0APACGANABHAFpAbIB9QIyAm8CsgL+A1EDqwQIBGYEwAUQBVUFkgXPBhMGXwavBwAHUQekB/kITQicCOYJMAl+CdAKJAp2CsYLFwttC8kMJgx+DM4NFQ1YDZsN4Q4qDnQOvA8DD0kPjg/TEBgQXRCiEOURJRFjEaIR5hIxEoASzxMbE2cTuBQQFGkUuRT4FScVURV/FbYV8BYnFlcWgRanFsoW5xb7FwUXBxcGFwQXBxcQFyAXLhcvFxwW+hbWFrwWrxalFpYWfRZgFkUWKhYQFfYV3xXNFb0VoxV4FUIVEBTwFOMU2xTGFJwUZBQyFBYUEhQYFBQUABPnE98T8BQSFCoUIxP9E8sTohOFE2oTSBMkEwkS/BL0EuUSzRK3EqwSpxKZEn8SZRJhEnMSgRJuEjgR/hHkEfcSIxJNEncSuxMvE8kUYRTVFR0VTxV/FasVxBW+FaIVhhVzFWYVWBVHFTwVOxU/FTwVLxUZFQEU6RTPFLYUoxSZFJEUhhR1FGcUZRRsFHAUZhRPFDMUFxP2E54TbRM/EyETExMIEvcS7hL/EywTXBNrE0sTERLaErMSjxJcEhsR3BGwEZoRjRF/EXERZhFaEUgRNRE0EVQRlRHhEiASSBJiEnMScRJJEfgRlRFFERwRFBETEQgQ9BDnEOcQ7hDvEOgQ3xDgEO0RABETESIRLRE4EUURWhF4EZYRlhFOEKgPsw6mDcoNTQ0uDUANSg0sDOUMkQxHDBUL+AvrC/EMEAxKDJUM5g02DYwN8Q5iDs0PHA9HD1kPZw98D5MPog+nD6wPuQ/ND9wP2Q/JD7oPug/HD9MPzw+1D4sPYA9BDzgPRw9nD4gPmg+QD3APRQ8fDwAO4g7BDpsOeQ5jDlsOWw5bDlQORg4wDhQN8w3RDbUNoA2RDYQNeQ1wDWYNUA0dDMgMXgv8C7sLowunC7gL0AvyDBoMNgwwDAgL0AumC5QLiAtrCzgLAwrlCuEK3Aq2Cl8J6AlyCRgI3AixCIUIUAgaB/AH3QfeB9gHpQcnBmAFcwSVA/ADggMmAqMB1AC5/3n+Qv0w/EH7YPp/+ab48vh5+D74L/g5+FH4d/ip+NX44/jF+Ij4Tfg2+FP4lPjZ+QL5A/jl+Lv4kvht+EP4EPfX96D3cPdB9wj2wPZs9hr10vWX9WX1NfUE9NH0n/Rs9Dn0BfPN85LzWPMn8wby8/Li8sbynfJw8k3yNvIj8gfx4PG28ZTxf/Fx8WDxSfE08SzxO/Fg8Zfx0vIC8hvyIPIi8jXyX/KI8pDyY/IU8crxqfG08dfx+fIX8j7yd/K18uPy9vL58wLzGPMk8wLylvHe8PDv7e707h7teO0J7MnsrOyi7KDspOyr7Lbsw+zL7Mnssux+7Czrx+tg6wLqsOpd6gPpoOlA6PHovOic6IfobOhF6BTn4Oe055DncOdQ5y3nCubq5szmsOab5pPmmOak5qvmpOaS5nzmZ+ZW5knmQuZJ5mDmhua15uznJudh55jnzOf/6DXoa+ic6MTo8uk26ZTp9uo86ljqWupp6qTrCet96+DsKexd7Ibsp+y77L3ssuyd7IHsXOwo6+HriOsl6svqkOqB6prqx+rz6xXrMOtI61vrY+tj62frgOu27AHsUOyX7NTtDe1H7YLtvu3/7kfulO7e7yDvYO+s8AzwefDf8S/xavGl8fTyW/LN8zjzlfPt9En0qvUG9VT1l/Xe9jj2sPdC9934a/jc+S75bvmy+gj6bPrL+xb7SPtr+4X7l/ue+5r7mfuk+7774vwP/En8m/0G/YD9+P5l/sb/Jf+I//AAVgCzAQABPgF1AbIB/QJZAr0DIQN+A9YEKgR8BMgFCgVGBX8FuwX6BjkGdQatBuUHJAdxB80IMQiQCN8JGAk/CVcJXQlPCS0JAQjbCMwI2Aj7CSwJWgl7CYkJiwmNCZsJtwnXCfMKCQonClkKowr5C0gLgQujC7kL0QvzDB0MRAxaDF0MUwxKDE8MZgyIDKgMwQzZDP4NPA2LDdcODA4oDkIOfA7gD1gPvQ/5EBQQIxAiD98PIQ3XDDoKowlUCFAHcAafBfsFvAX6BpIHPQfACA0IPAhgCHwIhAh1CFoIQAgmCAIHzgeTB14HNwcUBu0GvAaJBlgGKQX3Bb4FgwVNBRwE6QStBGoEJgPoA7MDgwNXAywDAQLTAqMCcQJDAhkB8gHLAaABcwFIASIA/ADTAKUAdwBLACL/+//T/6r/gP9Y/zP/EP7v/tL+uv6k/o3+cv5U/jX+Gv4C/ez90v2x/Yj9X/04/Rf8+Pza/L/8qfyZ/I38fvxr/Fb8Qfws/BL79PvV+7X7j/ta+xf62Pqy+qr6qvqR+lX6Dfnf+eL6Cfo0+lP6bfqZ+tr7IPtS+2v7d/uF+5T7mPuJ+3D7W/tU+1L7S/s8+yz7Jfsn+yn7Jfsb+xH7CPsC+vv69vr3+wH7Evsm+zb7Pvs5+yj7EPr++vj7AvsQ+xz7Ivsk+yT7H/sV+wj6//sB+wv7Fvsc+xz7HPsi+yz7Nvs++0X7TftV+137Zftw+3z7hvuL+4r7iPuL+5L7nPuk+637uPvD+8j7wvuz+6P7mvuY+5f7kPuG+4D7f/uC+4H7fPt2+3P7dvt5+3j7cPtk+1X7Q/sx+yD7EvsI+wH6+vrz+u366frh+tT6wfqv+qb6qfq2+sT6yvrD+rH6l/p6+mD6TfpC+jv6M/oh+gf56vnT+cf5wfm3+aL5gvlf+UH5KvkW+QH46PjO+LL4k/hu+ET4HvgB9+z32ffB96P3h/dw9133Rvcr9w/2+Pbm9tX2vvag9oH2ZvZO9jX2F/Xz9c71qfWI9Wf1RfUg9Pn00PSq9IT0XvQz9AXz2vO686bzmfOL83XzWvM+8yXzDfL18t/yzfK+8rDyn/KL8nnyavJf8lTySvJC8j3yOvIy8iXyFPIC8fHx4vHW8c3xx/G+8a/xnfGP8Y3xkvGU8YvxfvF38XrxgvGG8YTxgfGF8Y/xmPGe8aXxrvG58b7xvPG58cDx0fHm8fbyBvIc8jnyVfJi8mHyY/J+8r3zGvOH8/X0WPSk9M/01vTF9Ln0yvUG9Wf13PZN9qb21/bi9tH2uPak9pj2j/aN9pr2uvbq9xv3QPdc93n3n/fK9+v3/fgC+An4Gfgw+ET4TfhJ+D74NPg1+EL4Wvh4+Jf4vfjv+S75a/mO+Yj5YPky+Rn5Ifk7+VX5Y/lq+XP5hPmi+dH6DvpR+of6pfqz+sL63fr1+uj6nPoc+ZP5Kfjq+ML4lfhX+BH30PeW9133Ivbq9r72n/aE9mj2S/Y09iT2F/YF9e712PXF9bL1mvV89WD1UPVL9UL1IfTh9I70PfP989DzrfOH81vzMfMQ8v7y9/L08vTy+PMB8w7zGPMc8xrzGPMZ8xzzHfMb8xzzJ/M881XzYvNb80TzLvMn8zTzR/NL8zXzDfLn8tTy0PLK8rTyjfJp8ljyXPJp8nPyfPKO8q3yz/Lc8snynPJu8k/yRvJI8k7yWPJr8ofyp/LI8unzD/M481jzW/M08uvymfJg8lbyfPK58vLzEfMR8v3y4vLJ8rTyn/KM8nzycPJj8lHyOPId8gjx//IC8gnyCvH68dbxofFq8UDxMfE78VPxavF58YDxgvGB8XzxdPFw8XbxiPGd8a/xufHB8dHx7PIS8jryWvJs8m/yavJo8nbylvLD8vTzIvNQ84HztPPk9BD0OfRp9KL03PUO9TD1SPVi9YP1rfXY9gL2LPZZ9on2ufbn9xX3Q/d096n34fgh+Gj4tfkD+Uz5k/nc+iv6fvrP+xv7Yvup+/D8O/yG/NX9Kf2C/d7+OP6N/t3/K/97/8kAFABcAKEA5wEuAXQBtgH2AjYCegLDAxMDaQPFBCUEhATbBSYFZwWjBeEGIwZrBrgHDAdmB8IIGghrCLYJAQlRCaUJ+QpLCpoK6wtCC54L+wxTDKMM6w0wDXUNvA4EDkwOkQ7XDx0PZg+wD/sQRhCQENYRGRFZEZkR3xIqEncSwRMKE1QTphQBFFsUpxTgFQkVMhVlFaMV4hYXFj4WXxaBFqQWxBbXFt0W2xbcFuUW9hcJFxkXHRcQFvIWyxaoFpIWixaIFn8WaRZGFh8V+hXcFcYVuBWuFZ0VehVHFQwU2RS3FKEUjBRtFEMUGBP4E+0T8RP6E/gT6RPUE8sT1hPrE/cT6RPFE5oTdxNdE0ITIRMDEvYS+xMEEwIS9xL4ExETORNSE0oTKRMPEwkTCBLqEqgSXxJBEmQStBMLE1ITkhPiFEYUqxT1FSIVQhVmFY4VqBWrFZ0VjRWBFXIVWxU+FSkVIxUpFTIVNxU8FT4VNRUZFO4UwhSjFJAUfRRkFE8UShRTFFoUTRQrFAMT4hPEE4ITSxMZEwATBBMTExgTERMOExoTKRMjEvkSuBJ4EkkSJRH+EdIRqhGSEYgRfxFxEWARUBFAES0RGhEZETsRgRHUEhcSPRJLEkoSOBIJEbsRXxEVEO8Q6hDvEOsQ3BDPEMsQzhDNEMUQvBC6EMUQ2BDrEPcQ/BD7EPsRChExEWcRjBFvEOgP+A7ODa8M2gxkDDwMOww8DCoMAQvJC4sLUwsvCyoLSAuDC84MIAx7DOgNaw37DoMO6Q8nD0YPWQ9sD30PiQ+OD5IPnA+oD68Pqw+iD6EPqw+6D8EPtw+eD38PYw9TD1QPaA+ID6YPsA+fD3oPVA82DyAPBQ7fDrIOig5yDmcOYg5aDlAORg48Di0OFA30DdYNwQ21Da0NqA2lDaQNmw13DSkMvQxNC/oL0AvGC8wL2wvyDA4MHwwTC+oLuAuUC4MLcgtLCw8K1Qq5CrkKuwqfClsJ/wmkCV0JJwj3CMEIfwg5B/kHzQezB5sHYwbzBkgFfwTJBEkD/gPCA10CpgGYAFT/Cv3d/NH72frq+gz5WPjk+LD4qvi3+Mv43fjt+PD43fis+Gb4Hffq9933+fgw+Gn4kPia+I34dfhY+DP4AffE94b3Ufcm9vr2wvZ79iz13fWT9U/1EfTb9Kr0ffRP9CDz7vO684TzTvMg8wHy8PLh8sXymvJp8kPyLPIZ8fzxz/Gf8Xzxa/Fi8VfxSvFI8WLxmvHk8ivyXPJz8nbyb/Jt8nfyivKV8oPyTvII8c/xvvHX8gnyP/J28rXzAfNT85nzx/Pg8+7z9PPi853zE/I+8S7wAO7X7dbtFuyf7GLsR+w57CvsIOwg7CzsRexk7H/si+x77E3sCevA63zrPOr16p7qN+nL6WzpJej46Nvoweie6HPoRugf6AHn5ufJ56XnfedX5zfnHucQ5w/nF+cf5xvnBebk5sbmt+a85tjnCedM55rn6+g46H/ov+j16RzpNOlH6WDpfOmT6aHptOnp6kzqx+sv62Trauto64XryOwd7GjsouzR7QDtLe1P7WHtZ+1q7W3tae1U7SHszuxh6+7riutH6yfrIOsm6zrrXOuI663rvOux653rm+u66/TsNux17K/s7e0x7Xntvu4C7k/upu8C71Xvne/g8Czwg/Dc8Snxa/Gv8gXybPLW8zXzifPe9D70o/T99UL1e/XA9iT2rPdJ9+X4avjN+RT5VPmh+gH6Zvq1+uD68Pr7+xD7LvtF+0/7Vftn+437wvv9/EH8lv0B/Xz9+P5n/sj/I/9+/9wANwCLANYBHAFnAb8CKAKXAwEDXAOrA/sEVASyBQYFSAV4BaMF1gYSBlEGiga6BuoHJgd0B9IINAiLCNEJCgk6CWIJdglqCT8JBQjaCNII8QkqCWQJjQmdCZoJlQmaCbAJzQnpCf8KFgo8CnUKvQsHC0kLfgunC8gL5QwCDCAMPAxODFEMSwxJDFcMeAyiDMoM6g0NDT4Ngw3SDhUOPw5SDmsOpQ8ID3oP1xAJEBoQHhARD8kPDw3VDEsKwQlxCF4HbQaXBf4F1AYpBs8HfQf6CD4IYQh6CIwIjgh/CGgIUAg1CAwH0geRB1cHKQcCBtgGpwZ0BkMGEQXbBZ8FYgUqBPkEyASUBFgEGQPbA6EDbAM6AwwC3wKxAoMCVQIqAgIB2wGyAYcBXAEzAQ0A5AC4AIcAWAAuAAr/6P/D/5n/a/8//xj+9f7Y/r/+qv6V/oD+Z/5M/jD+Fv3//ef9zP2n/Xz9T/0m/QX86vzS/Lr8pfyU/IX8dvxl/FL8Pfwn/A/79vvb+7z7kvtZ+xn64Pq5+p36evpF+g358foH+kH6ePqJ+nn6bPqF+sT7Cfs3+0v7V/tt+4b7j/uA+2X7U/tS+1j7VvtJ+zr7MPst+yn7IfsY+xH7C/sD+vf67frr+vL7APsQ+yD7Lvs4+zf7KvsY+wr7BPsG+wj7C/sP+xX7GfsU+wb6+fr1+vz7B/sO+w/7EPsX+yP7MPs3+zr7O/s/+0b7Uvti+3H7ffuB+4D7f/uA+4b7jfuT+5r7pPuu+7T7sPuk+5f7kPuO+4r7gft2+2/7cPt2+3v7fPt5+3b7dPty+237Zftb+037O/sm+xH7Afr3+u/66Prh+tr61PrM+sD6r/qi+p76pfqx+rf6svqh+oj6bfpT+j76MPop+iT6GvoF+eb5xvmv+aT5ofmc+Yr5bPlI+Sn5EvkB+PD43PjE+Kf4hfhd+DT4Dvfx99z3yfe095/3jfeA93T3YfdD9yL3Bfbx9uH2zva19pf2efZd9kD2IPX+9d31vvWh9YL1X/U19Qf01/Sr9IL0WvQw9ATz2fO386HzkfOC823zVvM98ybzDfL08t3yyvK88qzymfKG8njyb/Jp8mLyV/JM8kPyOvIu8h3yDfH/8fPx5/Hd8djx1vHS8cbxsvGg8ZjxmfGY8Y7xf/F28XnxgvGH8YXxgvGF8Y7xl/Gg8avxuvHH8crxwPG08bXxxPHY8ebx7/IA8h3yPfJO8kjyO/JC8nLyzfNF88H0LfR69KH0qfSd9JH0lPS09Pj1YPXf9lr2svbY9s/2sPaP9nr2b/Zy9oX2rPbe9w73MPdG91z3d/eV96z3vPfK99/3+fgQ+B34IPgd+Bn4FPgR+BX4KPhJ+Hb4qfjf+Rj5R/ld+Ur5F/jc+Lj4uPjT+Pf5F/ky+U35afmH+av53PoZ+lX6gvqa+qf6ufrN+sz6nPo7+cP5U/j/+L/4gvhA9/r3t/d690D3B/bV9q32jPZu9k/2MvYb9gn19vXf9cj1t/Ws9aD1ivVr9Uz1OPUs9Rn07/Sr9Fn0DvPW87DzkPNs80XzIvML8wHy/fL48vPy8PL08vzzA/MH8wjzC/MU8x3zI/Mo8y/zQfNb83XzgPN281zzQfM28z7zTvNS8z/zGvL28uTy3vLT8rPyg/JZ8kfyTvJb8mHyY/Jx8pXyv/LW8sjynvJy8lbyT/JQ8lPyWPJp8ofyrvLa8wjzOfNk83jzZfMp8tjykfJv8n7ysvLw8xvzIfME8tTyovJ88mHyTPI58iXyEfH78eTx0PHF8cbx0PHY8dHxtPGC8UPxA/DP8LTwt/DQ8PHxC/EY8R3xJPEu8TnxQfFF8UvxVPFe8WXxaPFt8XzxmfHC8e7yFfIu8jfyOPJB8l/ylfLW8xDzOPNT827zkvPA8/H0J/Rm9K709/Ux9VL1YfVs9YL1pPXO9fj2IfZM9nn2p/bV9wL3Mfdi95f3zvgK+E34l/jl+TH5evnB+gr6Vvqk+vL7PvuI+9L8Hvxt/MD9F/1x/cv+Jf57/sz/Gv9m/7D/+gBCAIgAzQERAVMBlAHSAhECUQKVAuADMgOLA+kERwSdBOsFLgVsBagF5QYpBnQGyQcmB4YH4Qg0CIII0AkhCXUJyAoYCmcKugsSC20LxgwYDGMMqgzxDTsNhw3SDhoOXw6jDuoPNA+CD9MQJRB1EMARBhFIEYwR1RIjEnESuRL8E0ITkhPrFEMUjRTDFO4VGhVSFZIVzhX9FiAWPhZgFoMWnharFqwWrBa2FssW5Bb3Fv4W+RbqFtIWsxaVFoAWdhZzFmwWVxYzFgMV0xWrFZAVgBVzFV0VNxUDFM0UnhR6FFsUORQWE/kT6BPkE+kT7hPpE9cTuxOdE4oTixOXE6ETmhOCE2QTShM1Ex0TAhLwEvMTCRMfEyQTHxMqE1wTpxPmE/QT1BOkE4ETZxM+EvkStBKdEtATQBO+FCUUcRSvFOkVFhUpFScVJhU6FV8VhBWZFZwVlhWMFXsVXhU+FSgVJBUtFTgVRBVQFVoVVRU1FP8UyhSqFJ4UlxSGFHAUZRRoFGsUWhQwE/0T0hOtE38TRRMREv4TERMzE0MTNBMQEu4S0xK0EocSThIZEfMR1RG4EZkRgRF3EXURbxFfEUwROxEuERsRBBD4EQ0RShGbEeQSDBISEgIR4hGyEW8RJhDsENAQ0hDfEOUQ4RDZENQQ0hDOEMMQtxCxELUQwhDPENgQ2hDZEN4Q8hEZEUURVREgEIoPnA59DWUMfwvhC4kLZgtkC2cLWgsuCukKogpxCmkKigrHCxYLcQvfDGUNAg2oDj8Otg8HDzkPVw9pD3IPdA9zD3UPfQ+FD4gPiA+KD5YPpg+vD6QPiw9uD1wPWA9gD28Phg+jD7wPww+0D5QPdQ9gD1EPOw8VDuUOuQ6aDoUOcg5aDkQONw4zDjEOJw4VDgEN9A3tDekN5Q3lDe0N8g3gDaENOQzBDFoMGAv2C+UL3gvdC+AL2wvEC5wLcwtXC0YLLQr8Cr0Kigp3CoEKjQqFCmMKNAoFCdYJoAlfCRIIvwhoCBMHyAeNB1wHJQbRBlkFzAVKBO0EtASCBCYDewJ1AS3/z/6B/Vf8Tftd+ov54/l0+T35Mfk++VT5Zflp+Vj5Mfj4+LX4bPgn9/P34ff2+Cj4XviB+I34ifh8+GT4Nffu95v3TPcM9tf2o/Zp9if13vWR9UL0+PS69In0X/Q09Abz1fOj83LzQvMW8vfy5PLU8rnykfJi8jvyIPIH8eTxtvGJ8WrxW/FR8UbxQ/Fe8aPyBfJh8pXyl/J38k3yK/IS8fzx5vHU8cvxyvHS8ePyAvIx8mzyqvLl8xzzVfOW8+L0L/Rw9Jb0lvRq9BLzkPLg8gHw9e/P7rDtvO0J7JXsTewb6/Tr2OvK687r4ev/7B/sNuw77CrsCuvm68PrnOtk6xXqsepD6d7pjulV6TDpEujx6Mvooeh96GDoSegx6Bbn+Ofb58DnpueQ54Hneed052jnVedG50vnc+fB6DDotOk56a3qAuo16lTqaup56nrqaepO6jXqJuoW6f7p6+n86kbquesp623rgOuD65rr0ewZ7Fzsk+zG7PvtMO1c7Xntj+2k7b3t1O3f7dbtsu1y7R3svOxc7ATruuuI63frj+vF6/vsFOwF69/rwevD6+fsHuxa7Jjs3e0q7Xntxe4Q7mLuwu8m737vv+/w8CLwZPC28QvxXPGu8gnyb/LV8y/zffPN9Cn0i/Th9ST1YfWw9ib2wPdo+AP4fPjR+Q75SfmU+e/6RPp6+ob6evp2+o/6vfro+wT7GPs4+2/7t/wG/Fj8sv0c/ZP+Cf50/tD/JP93/8wAIQB0AMMBEgFsAdkCVwLaA0sDogPlBCcEeATSBSQFXgWFBacF2AYZBmAGnwbTBwIHOweIB+UIQwiSCM4I/wkuCVwJfAl9CVoJJQj9CPoJIQleCZMJrgmrCZ4JmwmuCdEJ8woJChgKLgpVCo8KzwsMC0MLdQuhC8IL1wvlC/cMDwwmDDYMPwxPDG8MngzPDPgNGw1DDXsNvw4CDjUOVg5yDp4O5w9ID6gP7RAPEBkQFg/6D58O3Q2yDEsK5gmoCI4HiAaiBgsF8wZdBw8HvQgzCG8IigibCKMImwiDCGQIRQglB/sHxQeIB00HGQboBrcGgwZQBh0F6AWwBXQFOgUFBNUEpwR2BEEEBwPMA5IDWgMmAvQCxQKVAmgCPAIUAe0BxQGcAXABRgEdAPMAxwCYAGgAOwAS/+7/zP+o/4D/Vf8r/wT+4/7I/rL+nf6I/nL+XP5H/jL+HP4D/eb9xP2c/XH9Rf0f/P784vzH/K38lPyB/HP8aPxc/E78Pfwo/BL7+/vg+777kvtb+yP69PrO+qn6ePpB+iL6N/qE+uH7FfsD+sL6i/qH+rX68fsa+y37PftW+3H7fPtx+1/7Vvtb+2H7XftQ+0T7Pfs4+zD7JPsa+xX7EfsH+vj66/rp+u/6+Pr++wX7E/sl+zX7Ofsz+yf7HPsQ+wP69frv+vX7APsG+wP6+Prx+vL6+vsB+wT7B/sP+xv7J/st+yz7Kvss+zT7QftR+2D7a/tw+3H7cftz+3X7eft9+4L7i/uV+5z7nPuV+4v7g/t++3j7cPtp+2b7aftx+3j7fPt7+3f7cftq+2L7WftQ+0T7Mvsc+wf69/rv+un64/rZ+s/6xPq4+qv6n/qX+pj6oPqm+qH6j/p0+lb6PPoo+hv6FPoS+g76A/nr+cv5qvmS+Yf5hfmB+XP5WPk2+RT4+vjn+Nf4xfiw+JX4dfhR+Cv4CPfr99T3v/er95r3jveI94L3cfdU9zD3D/b29uT20Pa29pb2c/ZQ9i32CfXp9c31t/Wh9Yb1Y/U39Qb01/Ss9If0ZPQ/9Bjz8vPR87jzpPOT84DzbPNY80HzJvMK8vDy3fLO8r/yrPKZ8ozyhfKA8nbyaPJZ8kvyPvIu8hzyDfIE8f7x+PHw8evx6PHk8dfxwPGp8ZzxmPGV8Yvxe/Fx8W/xc/F18XLxcPF08Xzxg/GJ8ZLxofGu8a/xovGS8Y/xnPGs8bTxt/HD8eLyCfIk8iXyEvIH8iHybPLh82fz4vQ79Gr0dvRv9GP0XfRn9I303/Vd9e/2bfa19sH2pfZ/9mL2VfZa9m/2lPbB9u33Evcw90r3Xvdo92f3Zvdz95L3tvfR99735Pft9/n3/vf59/P3/vgl+GH4ovjb+Qn5J/kt+Q34yfh1+DP4Hfg2+HH4uvkA+Tn5Xflw+YH5ovnb+iH6W/p8+on6lPqk+qn6ifo4+cT5TPjn+Jj4VPgR9833jfdU9yH28vbJ9qT2gvZh9kH2JPYL9fX13PXB9az1oPWd9Zj1hvVn9UT1JfUH9OP0sfRx9C/z9vPK86jziPNn80bzK/MY8wvzAPLz8uny5vLr8vPy+fL78vzzA/MP8x/zL/M9803zYPN184jzkPOL83rzZfNY81jzYPNh81DzLfMI8u7y4PLO8qzyfvJZ8kvyU/Jc8lvyVfJe8oLysfLP8sryqfKF8m/yaPJl8mLyZfJ28pnyx/L88zPzZ/OL85DzavMj8tXynfKQ8qvy3fMM8yDzDfLa8pXyU/Ii8gPx8PHg8c/xvPGn8ZXxivGJ8ZHxlPGF8VvxHfDY8Jvwb/BZ8FrwcPCU8Ljw0PDa8N7w5/D58Q/xH/Eo8SrxKvEq8SfxJ/Et8UDxX/GH8bDx1PHt8f7yDvIt8mfyuPMM80vzaPNv83bzjPOy8+H0FfRU9KX0/vVK9XX1gPV89X/1lPW49eH2C/Y19mP2kvbD9vP3JPdX94v3v/f0+C74cfi9+Q35XPmm+e36NPp/+s37HPtq+7f8BvxZ/LD9CP1f/bX+DP5i/rT/Af9K/5H/2wAmAG8AtgD5ATwBfwHAAf4COgJ3AroDBgNaA7IEBwRYBKQE6QUrBWoFqwXwBj0GlAbxB08HqQf+CFAIpAj4CUsJmwnpCjkKjQrlCz0LkAvdDCUMbAy2DQQNVQ2kDe8ONg56Dr0PAw9PD6AP9hBMEJwQ5BEoEXARwRIYEm0SuRL8Ez4ThxPWFCUUaRShFNMVBxVBFXwVsBXYFfoWHBZAFl8WchZ4FnsWhhaeFrsW0BbYFtQWzhbJFsAWrBaNFmwWUxZGFj0WLBYMFd4VqxV8FVoVQhUuFRIU6xS9FJAUahRIFCMT+xPaE8sT0hPmE/YT9BPcE7ITgRNUEzUTLBM0E0ETRBM6EyoTHBMPEwAS7xLmEvITDRMlEykTHhMlE1cTshQLFDUUIBPkE6MTbhM6Ev0SxhK2EuYTTBPHFDYUkRTaFRUVNhU3FSMVFBUhFUgVdBWPFZQVjhWEFXQVXRVFFTUVMxU4FToVORU7FUEVPhUmFPsU1RTIFNMU3hTTFLMUkxSBFHgUZRQ+FAwT3BOxE4sTVBMjExATIBNAE00TNBL7ErsSghJTEiYR+xHYEb4RqBGQEXgRZhFfEVwRUhE/ESoRHBEWEQwQ9hDhEOERBBFCEX8RoxGmEZERcRFNESUQ/BDdENEQ2RDpEPUQ9xDyEO0Q6BDjENkQzBC/ELUQsBCvELEQuRDIEOIRBhErETgRDhCTD8kO0A3TDPUMQQuyC0MK+ArSCsAKqAp0CicJ3wm7CccJ9wo3CnsKzQs8C9IMgw05Dd0OZQ7ODxsPUQ9uD3YPbw9oD2gPcQ9+D4gPkA+cD6wPtw+tD4sPXg87DzQPSA9mD4MPmw+yD8cP0Q/ID64Pjg91D2IPTQ8vDwkO5A7FDqkOiA5hDj0OJw4lDi0ONQ42DjIOMA4vDi4OLg40DkQOVA5KDhINqw0tDLsMaQw1DBEL8AvRC7ILkAtlCzULCgrsCtUKtQqFClUKOwpAClgKbApwCmkKYwpaCkAKCAm2CVgI+gicCDsH2AeABzwHBQbNBoUGMwXkBaUFcwU3BNEEJAMkAeAAef8V/dL8uvvO+wv6c/oE+b75n/mh+bz53vnw+eH5s/l0+S/46fig+Fv4K/gg+Dr4YviF+Jr4qPi3+Lr4ofhf9/33kfcr9tT2ifZH9gj1yPWC9TX06/St9Hz0UfQj8+7zufOJ813zMvMJ8ubyzfK58qHyfvJU8izyCvHo8cLxmPF08V7xUfFD8TTxOfFo8cTyLfJz8nPyNvHg8ZnxbfFJ8R3w7fDY8PvxVfHK8jTygPK28ujzHvNO823zfvOb89z0QPSn9OX03/Sb9Djz1fN18wDyWPFy8F/vQ+5C7W/szuxZ7Abr0eux66Lroeur677r0uvf6+Tr4uvf69rryeuf61rq/uqZ6jrp6Omo6XnpVuk26RTo8ejO6LHomuiI6Hrob+hh6EzoLegI5+jn1efO59Hn3+gG6FTo0ul66jnq9OuN6+zsBevm66zrdetM6yTq7uqq6mfqM+oH6dvpsumi6cLqEOpr6rDq2+sA6z3rlOv17Efshey17OHtCu0r7UbtX+187Zvtue3V7e7uAe4E7e7tue1m7QDslew67ATr/+wk7FTsa+xX7CLr7OvU6+XsGOxb7KLs6u0y7XrtxO4S7mvu0O8074Xvue/X7/nwNfCM8O/xTPGk8f/yZPLL8ybzc/O99A/0avTB9Qv1VfW19jv24feN+CP4lPjf+RX5S/mN+dr6HPo7+jT6G/oT+i/6Zvqd+sb66PsZ+2H7u/wY/HP80v07/av+GP57/tL/I/91/8oAJAB/ANkBMgGRAgACgQMIA34D1gQTBEsEjgTZBR4FUAVzBZkF0AYbBmwGtQbwByMHXAekB/oIUwidCNII+AkfCU4JewmSCYYJYAk8CTUJVQmKCbcJyAm/CbIJuQncCg0KNQpICk4KWgp6CqwK5gsfC1YLiAuuC78Lvgu8C8kL6AwMDCkMQwxmDJsM1w0IDSgNQg1rDacN6g4hDkUOZQ6UDt0POQ+VD9sQBBAVEBwQFg/rD3cOpQ2EDEILCAnkCMgHsQa/Bi8GKwajB1YH9whdCI4IpQiyCLMIoQh+CFMIKggDB9gHqAd0BzwHAwbHBooGUAYbBeYFsAV3BT8FDATeBLIEhgRYBCcD8gO7A4IDTAMYAuYCtAKBAlECJQH9AdYBrQGCAVcBLAECANUApwB6AE4AJP/7/9L/q/+G/2L/PP8W/vL+0v66/qf+lv6D/nD+Xv5P/kL+MP4V/fH9x/2a/W/9Rf0g/P383fy+/J/8hfxv/GH8WPxR/Er8P/wv/Bv8A/vn+8T7mftn+zP7Bfre+rr6mvqK+qD65vtJ+5X7nPtT+ub6k/qB+qf63vsI+yD7NftP+2X7bfto+2T7avt0+3X7aftZ+1D7T/tM+0D7L/si+x37GPsM+vv67vrt+vX6/Pr++v/7B/sY+yn7NPs2+zT7Lvsi+wv67/rc+tr66vr8+wT6//r1+vD68/r6+wH7BvsK+w77EvsT+xL7E/sZ+yb7NvtF+1D7V/tc+177YPtg+2D7Yftk+2n7cvt8+4T7h/uE+3z7c/tr+2T7YPtf+2P7avtx+3f7eft4+3P7bPtj+1r7UvtJ+zz7KfsT+v/68vrr+uj64frW+sb6tvqm+pj6jvqK+oz6j/qN+oD6Z/pI+ir6E/oF+f75/fn++fv57fnT+bL5kvl7+XD5bvlr+WD5Sfko+QX45fjM+Ln4qfiX+IL4Z/hI+CX4BPfm9833tveh94/3g/d+93f3aPdM9yf3A/bm9s/2ufae9n32WPYw9gf14PXB9av1nPWN9XP1TfUe9O70wvSe9H/0Y/RF9CT0AfPi88bzrvOY84TzcfNe80jzLPMO8vPy3/LP8sDyrfKa8ozyg/J78m7yXPJL8j3yMfIh8g/yAfH48fTx7vHm8d3x1/HQ8cLxq/GS8YLxe/F48XDxY/FW8U/xS/FI8UbxSPFR8VnxW/Fa8VzxZ/F08Xbxa/Fd8VnxY/Fw8Xbxd/GD8aLxzfHv8ffx5fHP8dHyAvJn8u/ze/Pr9Cz0QfQ99DH0JfQg9DD0bPTf9Xn2EfZ89qf2nfZ69ln2R/ZG9lb2cfaT9rb23PcE9yj3Pfc59yL3DfcP9y73Wvd+95T3p/e/99n35fff99T33vgN+Fj4pPje+QD5DvkH+OH4mfg99+73y/fg+Cb4hPjg+SX5SvlW+V35ePmw+fn6N/pZ+mP6afp2+nv6W/oH+Yz5C/ih+FH4EPfR95D3VPcj9v723vbA9p/2ffZc9j32IvYI9ez1zfWw9Z31mPWb9Zn1ivVs9UT1GPTp9Lb0f/RL9B3z9vPT86/zi/Np803zNvMj8xDy/fLr8uDy3fLi8ury8fL18vzzCPMb8zPzSvNf83PzhPOS85zzpPOn86PzmPOM84PzgfN982vzSPMb8vPy1fK98qLyg/Jt8mfybPJr8l3yTfJR8nTypfLK8tHyvvKl8pHyhPJ58nLyefKW8sby//M282jzj/Oh85LzYPMa8tnytfK18tHy9fMO8wzy6/Kv8mfyIvHr8cfxr/Gg8ZTxifF98XHxZvFe8VHxNfEA8LfwafAt8A7wCvAX8C7wTPBv8JDwp/Cw8LTwu/DJ8Njw4/Do8Onw6fDq8Ozw8vEA8RvxPvFk8YfxpvHA8drx+PIo8nHyzvMp82rzh/OP85nzs/PX8/n0GfRH9JX0+/Vc9Zj1pfWT9YL1hPWe9cT17/Yb9kz2fvax9uL3E/dG93n3rfff+BT4UfiZ+On5O/mH+c76E/pc+qv6/ftO+5777/xF/J789P1G/Zb95v44/on+1f8d/2X/sQAAAE0AkwDWARoBYgGrAe8CLAJmAqMC6QM0A4IDzQQXBGEEqgTxBTYFfAXHBhoGdAbRBysHggfYCDAIiQjhCTQJggnPCh8KdQrNCyQLdgvDDA4MWQylDPUNRg2XDeQOLA5uDqsO6Q8rD3cPyxAiEHMQuxD9EUcRnhIAEmISuBMAEz8TfhPBFAQURBSAFLsU9xUxFWMVjBWuFdEV9RYXFjAWPBZCFk8WahaPFq0WtxavFqMWoBamFqcWkhZnFjQWDBX2FesV3RXDFZsVbhVGFScVEBT6FN0UtxSNFGcURxQpFAYT3hO9E7ITvxPZE+kT4BO7E4MTRxMTEvIS5hLrEvQS9xLxEugS5BLmEuYS4BLcEuMS+BMLEw0TABMAEy4TiRPvFCkUGxPQE3ATGxLcEqwSiBJ4EooSwBMNE2YTxhQsFI4U1xT8FQYVDhUpFVYVgBWTFZAVhBV8FXYVbhVhFVYVUBVJFTkVIxURFQoVBxT7FOUU1hTgFP8VGBUMFNkUmBRlFEkUNxQfE/4T3BO4E4wTXBMqEwoTAxMNEwwS8BK6EnsSQhIUEe8R0hG6EacRkxF7EWMRURFJEUERMhEZEP8Q8hDxEPAQ4xDNEL0QwxDhEQYRIBElERoRDBEAEPgQ8BDqEOoQ8hD+EQcRBxEBEPkQ9RD2EPUQ7xDdEMMQpxCVEJIQoRC+EOQRChEfEQgQpw/xDvsN/A0lDI0MHwu7C08K5wqTClQKFAnDCWwJMwk1CWwJtQntCg8KOwqXCy8L8Ay3DWoOAA5+DucPOQ9tD34PeA9qD2MPaQ93D4YPkw+gD6wPrQ+WD2YPLQ8FDwAPGw9BD18PcA98D4wPnA+fD48Pbw9ODzYPJQ8XDwYO8Q7YDroOkw5mDjoOHQ4UDhwOLQ48DkUOSQ5IDkYORw5TDmoOfg52Dj8N2g1fDO8MnAxhDC8L+gvCC4kLTwsQCtAKlwppCkIKGwn0CdwJ4goDCigKPgpDCkkKWApmClgKIAnHCWYJCgivCEoH4Ad/BzYHBAbbBq8GfgZOBiAF6wWfBSsEfgOPAmABA/+Y/kL9HPwv+3j67PqA+i75/fn1+hX6S/pz+nH6Qvn3+aj5XvkW+NH4mvh9+Hz4jPic+K74yvjy+Rf5IPj5+KT4MPew9zL2vvZa9gX1uvVw9Sf05fSx9If0XPQn8+rzr/N/81fzMfMH8t/yvfKj8ojyZ/I+8hTx7PHE8ZzxefFi8VXxTPE/8TXxQfFw8bjx9PH48bPxP/DR8I3wb/BX8Cvv+u/28Evw9vHB8mjyy/L+8yfzXfOQ86jzpfOr8+P0UvTO9Rf1CPSx9Ejz/PPX87rzd/Ls8hXxBO/Y7rDtq+ze7E7r8+u665Treuts623rd+uE65Hrn+uv67rrteuV61nrDeq76m3qJenl6bDph+lp6VDpOeki6Q3o/ejz6PDo7ejk6M3oqeiG6HXogOil6NnpHumA6g3qx+ud7G/tGu2E7ZvtXuzj7FTr1et16yXqz+ps6g3pxOmT6WzpRukq6SzpUumP6dDqFOpq6t/ra+v27GbssOzd7PntC+0b7S7tR+1k7X7tku2o7cjt9O4i7kHuQu4f7d7tiO0x7OzsyuzL7N3s4ezC7IHsN+wG7APsL+x47MftDu1K7YPtw+4S7m7u0e8s73DvmO+x79XwGvB98OvxTPGg8fTyVvK/8x7za/Os8/P0RfSc9PH1SfW29kb28fec+C74l/jf+RT5SfmH+cn5/PoO+f755Pnd+fr6MPpp+pn6yvsL+2H7wvwj/IH84/1L/bj+Hv58/tT/Kv+B/9sAOwCfAQIBYQG9AiECkwMPA4AD2AQZBFAEjQTPBQsFOwVlBZYF1wYmBngGxQcGB0EHewe9CAoIWgihCNMI9QkYCUgJhAm2CcYJsAmJCXIJfgmmCdAJ5gnmCeMJ9AoiClsKhwqXCpMKkQqiCskLAgtEC4gLwAvcC9YLvQuvC78L6AwVDDcMWQyMDNMNGw1JDVoNZw2NDc4OFA5FDmMOhQ7EDyQPjA/fEA0QHhAiECUQGA/bD08ObQ1SDCkLDAn4CNwHvwbTBlgGbAbwB5kIIghzCJkIrAi2CLEImQhyCEUIFwfpB7kHiQdZByUG6QajBlwGGgXhBasFdAU9BQkE3ASzBIwEYwQ6BA8D4AOrA3MDPAMIAtYCogJtAjoCDQHlAbwBkgFmAToBDwDjALQAhgBcADYAEP/n/7z/kv9s/0r/J/8C/tz+vf6o/pz+k/6H/nn+bP5i/lj+SP4s/gX91f2k/XX9Sf0f/Pj81Py0/Jb8fPxn/Fb8S/xF/EL8Pfwz/CH8Cfvs+837qft8+0f7Evrn+tT65/sk+4f79vxF/Ev79fti+s76dvpt+pr60/r/+x37OftU+2T7Zvtj+2r7ffuO+477ffts+2X7Z/tl+1b7P/su+yb7H/sS+v/68vry+vr7A/sI+wr7EPsZ+yD7Ifsi+yX7Kfsm+xT69/rf+tn65/r++wz7C/r++vP68vr7+wb7C/sK+wT6/fr4+vf6+/sH+xj7Kvs6+0X7SvtO+1D7UvtS+1D7T/tR+1b7Xvtl+2z7b/tw+2v7ZPtb+1T7UvtV+1z7ZPtq+2z7a/tp+2T7X/tY+1L7TPtE+zf7JfsQ+v368Prp+uP62vrL+rj6pPqT+ob6fvp6+nj6dfpt+l36Rvor+hL5/vny+e757/nx+ez52/m++Zr5evlj+Vr5WflY+VD5Pfkf+Pv42Pi7+KX4lviI+Hj4YvhF+CP3//ff98L3qfeS9333bvdm92D3Uvc49xX28PbR9rn2pPaL9mz2R/Ye9fL1yvWr9Zn1jvV/9WL1NfUB9ND0qPSJ9HD0V/Q79B3z/PPc873zofOH82/zWvNH8zLzGPL68t7yx/K28qbyk/KA8nHyZvJc8k3yOvIp8hvyEfID8fPx4/HZ8dLxyPG78a7xpPGc8ZDxffFn8VbxTvFL8UXxO/Eu8SPxGvEU8RPxGvEl8S3xK/Ei8R7xJfEx8TXxL/El8STxLfE58UDxRvFV8XPxm/G78cfxvPGm8ZjxrfH28nHzBPOI89zz/vP98/Lz5vPf8+f0FPR39Qv1r/Y49oj2nvaN9mz2UPZB9kL2TvZh9nb2kfa09tr28vbx9tr2wfa+9tj3A/ct90/3bveO96v3ufe297H3xff/+FP4pfjd+PP47/jY+K34b/gp9/P34Pf4+DD4dvi7+PL5Gfky+Uz5dPmw+fP6JPo2+jT6M/o/+kX6JPnL+Uj4wPhT+An3z/eV91f3H/b39t/2zPa09pX2c/ZT9jj2IPYG9ef1xPWo9Zn1mfWd9Zn1h/Vm9Tv1CfTS9Jv0afRB9CL0A/Pf87XzjPNq81HzPPMp8xbzBfL38u3y6fLp8u3y9PL+8w7zJfNB813zePOP86PzsvO888PzyvPS89fz1PPG87bzqPOc84jzY/Mx8v3y0vK08p/yjvKF8oTyg/J38mHyTfJQ8nLyo/LN8t3y1vLE8rHynvKO8orynvLM8wnzRvN285XzovOZ83jzQvMH8tryyPLQ8uby+fL88ujyvPKA8jzx/fHJ8aLxh/F58XTxc/Fv8WDxRvEi8PPwtfBn8Bbv1u+4777v2u/68BXwLvBI8GPwePCE8InwjPCR8JXwlfCS8JPwmfCj8K/wv/DX8PnxIvFJ8W3xjvGv8dHx9fIj8mTytPMG80fzcfOR87nz6vQW9Cv0M/RJ9Ir08vVg9af1tfWb9Xv1cPWB9aX10fYB9jT2avae9tD2/vct92D3lffN+AX4QfiE+M35GPlg+aX56vo1+of63vsz+4b72Pwu/Ib82v0o/XP9vf4L/ln+pP7s/zb/hv/YACYAagCqAO4BOQGHAdICFQJTApEC1AMYA1wDnwPlBDAEfQTKBRQFXgWuBgUGYwbABxkHbwfGCCIIfwjZCSwJegnIChwKdArPCykLgAvUDCUMcwy/DQsNWQ2oDfUOPg5/DrkO7w8pD20PuxANEFkQmRDXER0RdxHgEksSpxLxEzATaxOnE+YUJBRlFKcU5xUdFUYVZRWCFaQVxxXkFfYV/xYMFiYWThZ1FokWhBZwFmAWYBZpFmYWShYYFeQVwBWwFaYVkhVxFUkVIxUIFPcU6hTZFL0UlxRrFEUUKBQRE/YT1BOyE6AToROuE7MToRN4E0ETDRLnEtQS0RLVEtMSxRKxEqMSphK3EsgSzxLMEs0S1xLkEuoS5xLxEyATdxPWFAkT7hOLEwwSnhJYEjISGxIHEfsSAhImEmkSzRNKE88URBSZFNIVABUyFWYVjBWYFZEVhxWJFZIVmBWUFYcVdxVgFT4VExTrFNIUxhS8FK8UqxS/FOcVCBT/FMMUbhQiE/UT5BPcE9MTxBOuE28TPhMGEtQSsxKjEpUSfBJXEi0SCBHrEdYRxRG0EZ8RhRFnEU0ROxEyESoRFxD5ENkQxBC9EL0QuRCqEJUQhhCIEJgQrhDBEM8Q2xDoEPMQ+xD7EPoQ+hD+EQMRAxD9EPUQ9BD9EQoRDxD+ENkQrRCOEIsQoBC7EMoQxBCkEF8P4Q8hDjQNTAyfDDwMBgvLC3ILAgqUCjAJyQlZCPoI1QkCCWYJwgnnCdsJ2QobCrQLhgxfDRkNsQ4zDqcPCw9SD3YPeA9oD1YPTw9SD1kPYA9mD2oPaA9VDyoO8g7DDq8OuQ7ODtoO2Q7UDt0O9A8MDxQPBg7uDtwO1w7cDtwO0Q65DpsOeQ5UDi8ODQ34DfUOAw4aDiwOMQ4mDhYODA4TDisOQQ49Dg0NtA1IDOMMkQxNDAwLxwuEC0YLCwrMCoYKQAn/CcYJlAluCWEJdQmeCcUJ1wnbCeYJ/woXChIJ4AmQCTkI5giQCC4Hygd2Bz4HGgb3BswGnAZsBjsF/gWpBTYEnQPRAsUBewAQ/qz9ePyI+9n7XPr8+rD6fPps+ob6ufrl+ur6v/p0+iH51PmN+Ur5Efjr+Nn41/jd+O75EvlI+X/5oPmZ+Wb5C/iR+AT3cfbl9mb18/WJ9S706PS89J70efRE9ATzx/OY83LzS/Md8u3yw/Kf8nzyVvIq8f7x0vGo8YPxZfFS8UjxQvE/8UPxVvFy8YXxcPEi8KXwH++975Dvhe9270/vKe8777TwivF/8kXyuvL28yvzcvO68+Pz6vPz9Cz0nfUW9Vj1QfTn9H/0NvQX9Arz7vOo8yLyT/Ey7+Tul+187LDsLevb65/rcOtN6zvrN+s56z/rS+tb62jrZ+tO6yDq6eqy6oDqT+oc6evpwemj6ZHph+mE6YPphemJ6YvpiOl66WHpS+lN6Xvp1epI6r7rLeuk7Dfs5u2c7jTuke6l7nHt/u1g7LTsFeuR6xvqouoh6avpUuke6P7o4+jM6MLo0uj66TXphun26orrNuvf7Gvsze0H7STtMO067U3ta+2L7aHtqu2w7cLt6O4b7kvube567nHuU+4j7e7tw+2s7aHtku1o7R/sxOx27FTsa+ys7PrtPu1x7Z7t2O4j7nru0e8c71Pvee+c79HwJfCR8QDxXfGq8ffyVPK88x3zZ/Og89v0JPR39M71L/Wm9j727feW+CD4gvjF+Pz5Ofl++cL58Pn6+eX5yfnD+d/6EfpK+oH6v/sO+2z7zfwq/If87P1Y/cT+J/6D/t7/PP+a//gAVgC5AR4BfwHZAjMClAL8A18DswP3BDcEegS/BP0FMwVoBaUF6wY1Bn4GxQcJB0wHiwfICAsIVAiZCM4I8wkYCU4JmAniCgsKBQnbCbAJogm4CeAKAQoSCh8KOgprCqMKzArWCssKvQrDCuQLIAtwC8MMAQwTC/sL0wvAC9UMBAwwDFAMeAy/DR4NdA2eDaANnw29Df4OQw5zDo8OtQ7+D2YPzxAZEDoQPhA3ECoQCA+yDxEOKA0UC/gK5QnSCLQHoAbNBnUGpAcuB8kIPQh9CJ0IrgiyCKMIhAhdCDcIDQfbB6EHaQc3BwYGywaBBjEF6AWpBXIFPQUKBNsEsQSJBGMEPQQaA/cDzQObA2EDJwLyAr8CiwJWAiQB+AHPAaYBegFMAR8A8gDFAJYAaABBAB///v/Y/7D/iP9l/0T/IP73/s/+sP6f/pn+lv6P/oX+e/5y/mn+WP49/hf96P22/YL9T/0d/PD8yvyr/JL8e/xn/FX8R/w//Dz8OPww/B/8B/vs+9P7uPuR+1v7Hvr0+v37Tfvd/Ib9DP00/OL8LPtW+qz6Xvpn+pz60vr4+xf7OPtY+2j7Z/tj+237hfuc+6H7lfuI+4T7hft/+2z7Uvs/+zT7K/sd+wv6//r8+wH7CPsO+xb7H/sk+yL7GfsR+xH7Gfsd+xX7Afrt+uX67/sC+xH7E/sJ+v36+fsB+wz7E/sP+wP69/rv+u368fr6+wj7Gvsr+zf7P/tD+0b7SPtI+0b7RftG+0n7TftQ+1L7VPtW+1b7U/tM+0X7QftC+0b7TPtR+1P7U/tR+037SvtI+0b7Q/s9+zL7I/sR+v/68Prk+tn6zPq7+qf6k/qD+nj6cfpq+mL6WPpN+kD6MPoe+gv5+vnu+ej56Pno+eD5zfmt+Yf5ZPlO+UX5RvlH+UL5MfkU+PH4zfiu+Jj4ifh/+HP4YPhD+B/3+ffV97b3m/eA92j3VvdN90r3Qfcs9wv26PbJ9rP2oPaI9mr2RfYa9e71x/Wq9Zr1j/V99Vr1J/Tv9L30l/R69GL0SfQt9A/z7vPL86rzi/Nu81TzPvMr8xjzAPLj8sTyqfKV8oPycfJf8lDyRvI88i/yHfIK8frx7vHi8dPxxfG58a/xovGS8YLxdfFs8WHxUvE/8S/xJ/Ej8R7xFvEM8QHw9/Dx8PDw+PEC8Qbw//Dz8Ozw7/D58P7w/PD38PnxAvEN8RfxIvE28VLxcPGJ8Zbxl/GL8XzxffGn8gfyjvMX83nzqPOx86zzqPOo87Lz1vQn9Kj1RfXd9lH2kvah9o72afZH9jP2L/Y29j72R/ZW9mz2gvaP9o/2ifaK9pz2vvbm9w33MfdQ92j3d/eA95H3uPf6+E34mvjM+Nj4wviU+F34KvgL+Aj4IfhF+GT4efiO+K743vkZ+Vj5mPnW+gn6IfoZ+gD58fn6+gn59/mp+Sr4n/gv9+P3rPd29zz3CPbl9tD2v/ak9oD2WfY49iD2DPX19dn1u/Wk9Zr1mfWY9Yz1cfVK9R307vS/9JL0bPRN9C/0DPPg87PzjPNv81rzSPM28yfzH/Mc8xnzFfMS8xLzF/Mk8zjzVPN085XzsfPI89vz6fPz8/nz/vQG9Az0CfP78+Pzy/O1857zffNQ8x3y7vLK8rDynvKS8oryg/J28mbyXvJp8orytPLX8uby5PLY8snyu/Kz8rvy2/MO80fzd/OT85rzj/Nz80rzG/Ly8tny0/Lc8ury7/Li8sDyifJI8gfxz/Gh8X3xZvFe8WXxbvFq8UzxFPDM8H7wMO/l76fvhO+E75/vxu/l7/rwCPAa8C3wPvBI8E3wUvBW8FbwUPBK8ErwVPBj8HXwivCn8M/w/fEr8VbxgvGu8dfx+/Ie8knygfLA8vvzMfNp86zz8/Qq9D/0PPRE9Hf01fU79YH1kvV89V71VfVl9Yf1sfXh9hf2UfaK9r727PcY90n3gPe89/r4N/h0+LL48vk0+Xb5vfoL+mL6vvsZ+2/7wvwV/Gn8u/0I/VH9mv3m/jL+fP7E/w//X/+x//4AQwCCAMQBDAFaAaYB7gIzAngCvQL/Az4DfQPDBBAEYgSyBP4FSwWcBfUGUwaxBwsHYwe9CBoIdwjRCSQJdQnICiEKfwrdCzsLlgvuDEIMkAzaDSINbA24DgQOTQ6RDs0PBQ8+D30PwxANEFEQjBDGEQsRYxHKEjASiBLPEw0TTBOME80UDRRPFJAUzRT+FSAVOhVUFXMVkhWqFbkVxhXcFf0WIhY8Fj8WLBYUFgcWCBYNFgIV4xW9FaQVohWpFaMVgxVOFRgU8BTcFNMUyhS3FJYUaRQ4FBAT+BPsE98TyROrE5ATgRN5E2oTShMcEu4SzxLJEtYS6BLuEt0SuBKNEnMSdhKQEq8SwhLHEsYSyhLUEt4S6hMEEzoThRPJE9sToxMuEqYSNxHzEc8RtBGWEX8RgxGvEgMScxL0E3YT7hRTFKUU6BUlFVsVfxWOFY8VkhWgFbUVwRW8FaYVhRVbFSYU6RSxFIgUcBRgFFAUSBRYFIAUqhS1FI4URRP6E8kTtxO0E7ETpxOSEzQS+xK/EocSXRJCEi4SGRH/EeQRzRG/EbYRrBGcEYARXRE4ERwRDBEGEP8Q7hDQEKwQjBB5EHUQdRBwEGEQTRBDEEwQahCVEMAQ4hD3EQEQ/hDzEOUQ3BDdEOUQ7BDuEOwQ7RD5EQoREhEAENIQnhCBEIwQrhC+EJoQPA+9DzYOrA4QDWAMtgw6C/wL5QvGC4MLIQq1CkgJ0QlTCO8I1wkaCZEJ7An5CcsJrQnnCokLaAxHDP0NiQ38DmYOyA8XD0oPXg9YD0QPMQ8jDxoPEw8ODwwPDQ8HDu0OvA6CDlQOOw4vDh0N/w3jDd4N+g4qDlQOaA5qDmwOeA6LDpQOiQ5tDk0ONQ4jDg4N8Q3TDcYN0Q3vDgoODQ3yDccNpQ2cDa0NxA3HDaYNYA0EDKYMTAv1C58LTwsOCuEKvgqUClsKFwnQCY0JUQkhCQYJBwkaCSwJMwk4CUwJcgmWCZsJeQk9CPkIsQhfCAAHpgdoB0oHNwcWBt4GmQZUBhAFxwV0BRkEqwQPAygB7QB//xb95Pz+/F377vub+1r7KfsP+w77H/sv+yv7C/rV+pX6UvoL+cL5fvlO+Tf5OflN+XP5pvnf+hP6Nfo++in58vmX+Rn4hPfk9z/2lvXz9Wj1BvTR9LX0mPRp9C/z+PPL86Hzc/M+8wny2fKs8n7yTvId8e/xxPGc8XjxWvFE8TXxLvEz8UPxVvFV8SfwxPA777HvRu8L7vbu6u7O7qPuie6y7z/wJPEm8gHylPLx80Hzm/Px9Cn0QvRd9J71B/Vt9Zz1gfU09N30k/RW9B/z7vO+83ny9fIQ8NDvau4n7TbsmOwx6+LrnOtj6zrrIOsN6wDq++r/6wbrB+r56uDqxOqs6prqh+pt6kzqKOoI6fTp7un36gnqIOo16kPqSOpG6kbqXOqf6xvrw+xz7Qbtcu3J7iXuj+7w7yjvI+7q7o/uIu2n7SHsl+wO64Tq9Opg6dXpZekY6OToveif6JDol+i06ObpLumV6h3qwOtr7Ansi+zm7RztNe1E7VrtfO2h7bztye3R7d/t+u4e7kTuae6N7qnut+607qTukO6B7nbuZO477fTtku0v7Ors3e0D7UPtf+2s7dTuBu5J7pLu1u8P70Dvcu+r7/XwUPC48R3xdPG/8g3yaPLN8yjzbfOi89b0FPRd9K/1EvWU9jf26/eO+Ar4W/iW+NP5IPl6+c76AvoG+ef5wfm0+c36APo7+nr6w/sd+3/73vw3/JP8+/1r/db+Nf6P/u7/Vf+7ABoAcwDNAS0BjQHqAkMCngL4A0sDkwPUBBkEZgSyBPYFMgVwBbQF+wY9BnoGuQb+B0YHiAfCB/4IQQiHCMQI8QkZCVIJown+CkAKUAoxCf8J3AnaCfMKFQozCk4KcQqgCtAK7wr2CuwK4grrCw0LSwubC+sMIwwsDA0L5AvXC/AMHQxFDGoMpA0IDYIN5A4JDfsN5w32DikOYw6ODrEO5Q83D54P/hBCEGMQZhBTECcP3A9kDrUN0QzHC68KlAl3CFwHXwa0BoQGzAdXB+IIRAh+CKAIswiwCJIIZQg7CBsH+AfGB4YHRgcRBuEGqAZdBgkFuAV0BTwFCgTdBLUEkARqBEIEGwP4A9kDswOCA0kDDwLaAqgCdgJDAhMB6AHAAZUBZwE2AQYA2ACrAH4AVAAxABP/9f/U/7L/kP9x/1D/K/8B/tr+v/6v/qj+ov6Z/o7+g/56/m/+Xv5F/iL9+P3I/ZP9XP0m/PX8zvyu/Jb8gfxu/F78UvxJ/EP8PPwx/B78Bfvt+9j7wfuf+2n7K/sG+yH7kPxD/QP9hf2M/Qv8LvtF+qD6Yvp4+q362vr1+w77MftX+2/7c/tw+3f7jPui+6z7qvum+6X7o/uY+4L7a/tZ+037Qfsx+yD7FfsS+xH7EfsU+xz7Kfsx+zD7JfsZ+xL7EfsS+w77BPr2+u367vr5+wr7FvsY+xH7C/sK+w/7EvsP+wb6/Pr2+vP68vry+vj7BfsV+yP7LPsw+zP7Nfs2+zf7Nvs3+zn7Ovs6+zj7OPs5+zz7PPs4+zL7Lfsp+yr7L/s2+zz7QftB+z77PPs6+zr7OPsx+yf7GfsJ+vf65vrW+sj6u/qs+pr6ifp6+nD6Z/pc+k76QPo1+i36I/oV+gX59fno+eH53fnZ+c/5u/mc+Xb5VPk9+TX5Nvk4+TH5H/kC+N/4vPic+IP4dPhr+GL4Ufg3+BX38PfO97D3lPd191j3Q/c79zz3Ovcq9wz26PbJ9rL2nvaE9mL2OPYK9d/1vPWj9Zb1ivV19U/1G/Tk9LT0j/Ry9Ff0PPQg9ALz4vO+85vze/Ne80TzLvMb8wjy8fLU8rPylPJ88mvyXPJM8j3yMvIq8iDyEPH98enx2fHL8b/xsvGo8Z3xkfGB8XHxYvFV8UjxOPEl8RbxDfEI8QTw//D48PDw6fDj8OHw5fDq8Onw4PDV8M7wz/DV8Njw1/DX8Nzw4/Dq8PLw//EU8S7xRPFU8WHxbvF08XDxa/F/8cHyMPKw8xnzWfN184DzhvON85bzrfPl9EX0xvVX9d72SPaH9pX2fPZQ9ij2EvYO9hD2DvYL9g72HPY09kz2XPZk9m32f/af9sb26fcD9xX3KfdI93b3sff0+Dn4c/iY+Jv4efg89/n3zvfR+AD4Rvh9+I34fPht+IH4wfkb+XP5uvnw+hL6GPn++c/5rPms+cb50Pmi+Tf4r/g39+P3q/d690b3Ffbv9tP2t/aR9mP2NPYQ9ff15PXT9b/1q/Wc9ZT1j/WE9Wz1R/Uc9PL0zfSt9JL0efRc9Dj0CvPY863zkfOB83PzYfNP80TzQ/NK81HzVfNY81vzYPNm83Hzg/Of88Dz3/P49Az0HPQn9C70MfQ09Db0NPQm9Avz6/PM87PzmvN781PzKPL+8tfytPKX8oLyd/J18n3yjfKl8sDy1/Ll8ujy5vLh8t7y4fLt8wTzJfNI82bzd/N5827zV/M68xvzAvLx8uny5/Lo8ury5fLP8qPyY/Ia8djxovF38VbxRPFH8VvxbPFg8Svw0vBt8BHvx++S73Lvae9375Xvte/L79fv4O/r7/fv//AD8AjwEfAb8CDwHfAY8BnwI/Az8EXwW/B68KXw1/EL8T/xdfGr8dvyAfIe8jzyYvKR8sLy8vMp82zztfPx9A/0F/Qi9Ev0lfTn9SX1QfVC9T31QfVS9W71kvW/9fb2M/Zz9q724vcP9zz3b/eo9+X4IfhZ+I/4yPkH+Ur5k/nj+jv6mvr6+1T7qPv5/Ej8l/zk/S79eP3D/g3+Vv6e/uf/Nf+E/9EAFwBbAJ8A5gEvAXcBwAIKAlUCngLjAyMDZAOsA/oETQSeBO0FPAWPBecGRAahBv0HWAe1CBIIbgjGCRsJcAnJCicKhwrlC0ALlgvqDDoMhwzRDRoNZQ2xDf0ORQ6MDs4PDQ9JD4gPyxAQEFMQkRDQERgRbRHKEiESaxKsEu0TMxN7E78T/BQ1FG4UoxTPFO8VCBUgFTsVVRVqFX0VkxWwFc8V5BXnFdYVvhWtFasVsRWxFZ8VhRV1FYMVqhXPFdQVrBVnFSAU7hTTFMMUrxSNFF0UIxPtE8gTuxO+E8ITuhOkE4sTcxNZEzMS/xLGEp8SmhK3EuUTDRMWEvkSwRKIEmcSaRKFEqgSwhLQEtcS3hLnEvQTCRMvE2MTlhOuE5ITPxLMElwSBhHMEZwRZxE4ESkRUhGzEjQStBMlE4cT5hRDFJoU4xUcFUcVZhV5FYYVkhWiFbEVtBWiFXkVQBT8FLEUZRQkE/kT5RPcE9MTzRPZFAAUNRRbFFsUNhQCE9YTvhOwE6ETiBNjEuESpxJzEkgSKhIUEf8R5xHKEaoRkBF9EXERYxFOES4RBxDiEMcQuBCxEKsQnxCJEGoQShAzECsQMBA3EDQQKBAiEDIQXRCaENQQ+REFEPwQ5hDLELQQqRCsELwQzxDdEOIQ4RDkEOcQ4BC/EIQQSxA7EGQQphC+EHAPuA7PDfsNYgz0DJIMMwvqC8YLvQutC3sLLQrUCnYKCwmSCS8JEQlKCa4J8wnsCbUJnAnjCo8LbgxADOcNZA3LDicOfA7GDwAPJw83DzQPJA8SDwAO7g7eDtQO0w7SDsEOkw5PDgoN0g2nDXgNPQ0EDOoM/w08DYINtQ3QDeMN/Q4dDjMOMA4XDfgN5A3dDdUNwg2sDaMNtw3dDfsN9A3CDXsNQA0nDTINSg1UDT4NBgyzDFEL6Qt/CxsKyQqTCnoKbgpbCjYJ/gnACYMJRwkPCN0IuQifCIsIfgiCCKII2AkJCR0JDwjqCL4Ihwg9B+QHkgdgB00HQAccBtoGhQYpBc0FcwUmBOsEsQRHA30CTgDo/5P+hP3C/TX8w/xj/BX72/ux+5H7d/tf+0n7MfsW+vL6v/p4+iP50vma+Yn5oPnY+iL6b/qu+tf66/rv+uP6wfqA+h75n/kI+Fb3iPaw9ez1XPUI9Nv0t/SL9Fr0K/QA89DzmfNg8yry+PLF8ozyUPIZ8enxvfGU8XDxU/E78SjxG/Ec8SvxMvEP8K3wGO997wvu1u7H7rvumu5k7jTuLu5z7w/v9PD38eTymvMd84Xz4/Qy9Gn0i/S29QD1YvWy9c/1svV29TP07fSY9Dbz4vOy85XzUfKt8Z3wUe8W7iDtduz67I/sKuvP64XrSusa6vLq1erF6sLqxurK6szqzerQ6tXq2OrU6sXqq+qN6nXqbup86pzqxert6xLrN+th65zr8exs7QvtvO5b7srvBe8h7z3vX+9z71vvEO6o7kft/u3D7YPtLuzG7E/rzutD6rTqKumu6UXo8ei16JPojuig6MTo+elC6abqKOrA62Lr+uxz7MHs5uz07QHtHe1E7W7tle257dzt/O4Y7jHuTe5v7pHur+7H7t3u9O8K7xjvFO767sPucu4S7b3tkO2T7bft4+4E7iHuR+577rTu5+8W70vvju/e8DbwjvDl8TrxjvHi8jryl/Ly80HzgPOz8+X0GvRV9J31A/WR9kH29feK9+/4Lfhh+Kf5C/mC+e36Kvoq+fv5xPmr+b/59Po0+nn6yfso+4777vxG/KT9Dv1//ef+Qv6Z/vv/av/aAD4AlgDrAUQBogIAAl0CuQMOA1UDkQPKBA4EXQStBPQFMwVzBbsGAwZDBnwGtgb5B0AHfgezB+kIKwh3CLwI8gkdCVIJoQoBClgKigqLCmgKPAofChkKKApECmcKkAq8CuIK+gsECwkLFQsvC1gLjQvIC/8MIgwjDAoL8QvwDA0MNgxeDJAM5A1kDewOSg5gDkIOIg4iDkIObg6aDtEPHg9+D90QKxBkEIgQkBBtEBkPmw7/DkUNaQxmC0MKFAjoB9gHAgaNBo0G7Qd1B+4IPghwCJYIrQioCIAIRggVB/QH1wepB2oHKQbyBsEGhwY7BeUFkwVNBRQE5AS8BJsEfARZBC8EBAPdA7gDkQNhAywC9wLHApoCawI6AgkB3AGxAYQBUwEhAPAAwgCWAG4ATAAxABkAAP/j/8X/qP+L/2r/RP8c/vv+4/7T/sT+s/6g/pD+hP57/m/+Xv5F/iX9/v3R/Z79af01/Qf83/y9/KH8i/x8/HL8avxh/FX8Sfw5/CX8Dvv4++L7y/up+3b7PfsZ+yr7gPwL/J78//0A/JX74Psi+pz6bPqD+rb64Pr5+w/7L/tX+3f7hfuJ+4/7nPus+7b7u/u/+8D7vPut+5f7hPt4+2z7W/tG+zb7L/su+yz7Jfsg+yT7L/s7+0D7PPsx+yT7F/sN+wb7Afr5+u364/rn+vv7F/sr+y77JPsW+w77C/sI+wP6/vr7+vf68vrs+uv68/sB+w77FfsV+xX7F/sa+x37H/sg+yH7Ivsi+yH7IPsh+yP7JPsj+yH7H/sd+x77JPst+zn7QvtG+0P7Pfs3+zH7Kfsd+w/6//ru+tz6yfq4+qz6o/qa+o76gPpy+mj6XfpP+j/6Mvoo+iH6GPoI+fX55PnZ+dH5yfm/+bL5n/mE+WP5RPkw+Sj5KPkn+R35B/jp+Mb4oviC+Gj4V/hN+Eb4OPgi+AX35/fM97P3mPd391b3Pfc09zf3Ofcs9w325vbC9qf2jvZu9kX2F/Xp9cH1pPWQ9YX1evVj9T31DfTd9LP0kPRv9E70L/QT8/jz2/O685fzdvNZ8z/zKPMS8v3y5fLH8qXyhvJw8mHyVPJE8jPyJPIb8hPyB/H18eDxzfG+8bPxqfGg8ZfxjfGA8XHxYfFQ8TzxJvES8QLw+fD18PPw8PDr8Obw4PDZ8NXw1PDU8NHwyvDB8LzwvPC88LvwuvC+8MbwzfDP8NDw2fDt8QTxFfEf8SvxPvFT8V/xYvFu8Zzx8/Jk8tHzJfNb83zzjvOT85LzlvOt8+L0NvSm9Sn1rvYg9mf2ePZa9ib1+fXg9dr12/XZ9dj14PX29hT2LPY09jT2PPZW9nz2nfax9r/22vcO91X3nvfa+Ab4Jfg0+Cz4B/fM95L3dveN99T4Lfhu+H34ZvhS+Gv4t/kY+Wn5nfnA+d757/ng+bD5fPls+Yf5qPmd+Uv4zPhP9/X3vveV92j3NvcH9tz2sPZ99kb2EvXo9cv1tvWn9Zn1jfWD9Xn1bfVY9Tr1E/Ts9Mr0sfSg9JL0f/Ri9Dj0BfPU87PzpPOf85fzh/N082rzbPN484fzlvOm87TzufOz86jzpfOz89Dz8PQM9CP0NvRI9FT0WfRa9Fv0WfRN9DP0EPPt89LzvfOn84nzY/M28wfy1/Ks8o3yg/KS8rXy3fL68wfzA/L58vHy7vLx8vzzEPMs80zzZPNu82jzWfNG8zHzGfME8vry/vMK8xLzD/MC8vTy4vLE8pHyS/IA8b3xhfFV8TDxHvEp8UfxWvFC8PXwhvAV773vhu9q72HvZ+9475DvpO+w77bvu+/C78jvye/J783v2e/n7+/v8O/u7/Hv/fAQ8CXwPfBf8IrwvfDz8SjxYPGY8c3x+PIb8jzyY/KM8rHy0vL08yLzW/OU87/z2vPx9BP0RvSC9Lz07PUS9S71QfVO9V71ePWh9dj2GPZb9pv21fcH9zH3XPeM98L3+fgu+GP4nPjc+ST5bvm9+hL6b/rQ+y/7h/vX/CP8b/y6/QX9T/2Z/eL+Kv5y/rv/Bv9R/5r/4wArAHUAvwEHAU8BlwHiAi8CewLDAwoDUQObA+kEOASIBNkFLgWGBd8GOgaVBvEHTwevCA0IaQjBCRgJcQnOCi4KjAriCzILfAvEDA0MWQynDPgNSg2ZDeQOKw5xDrcO/A89D38PxBANEFcQoBDoETQRhBHTEhsSWxKaEuATLhN5E7gT6RQUFEIUcBSZFLgUzxTiFPUVBxUaFTMVUxV1FY0VkBWAFWcVVRVVFWMVchVxFV0VRBU/FV4VmRXRFeUVxhWEFToU/hTVFLUUkRRgFCAT2xOiE4UThhOaE6sTrhOhE44TeBNXEyAS2BKUEm8SehKtEu0TGxMhEv4SxBKREngSfhKWErASxBLUEuQS9RMIEx8TQRNvE5wTsBOWE0wS5BJ+EiwR8RG5EXURKRD2EP8RVhHnEoES/BNPE5MT5BRIFK0U/BUrFUQVVBVjFW8VdBVxFWYVTRUiFOIUjhQwE9ITfxNFEywTMhNIE18TcROKE7MT6xQeFDUUKRQDE9YTrxOQE3ATSRMYEocSWBIyEhcSBhH1EeARwhGeEXkRVhE4ER8RCBDvENMQtRCZEIAQbBBdEFMQTRBGEDoQJhAUEA0QFBAhECsQLBAyEEsQexC3EOgQ/RD3EN0QvhCiEI4QhRCLEJ0QtBDHEM4QxxC3EKIQfhBED/gPuw+6EAcQeBCxEF4PdQ5ADSsMegwlC/kL0AuoC5ILjguDC18LIwriCp8KSwnjCYEJTwlhCZgJugmlCXoJegnVCoMLTwwHDJsNFQ2ADd4OLA5tDqcO2w8EDxoPHA8TDwMO7g7WDr8OsA6jDosOWQ4QDcANeg08DPgMqAxZDCsMNQxxDL4M+g0ZDSsNSA14DawNzQ3SDb8Npg2UDYYNfA13DYMNog3FDdANrQ1eDQQMwwyvDMEM3gztDNsMpgxVC/ALgwsYCroKcwpHCjMKJwoUCfIJwwmSCWMJNgkCCMcIhghFCAwH5gfjCAYIQwh7CJcIlQiFCHIIVggjB9kHjgdZBzsHIgb7BrwGbAYNBaAFMwTgBLkEowReA68ClQFSADr/dv7v/nT95v1P/Mz8cPw0/Aj73fuy+4z7cPtb+0L7FfrR+n76MfoA+fv6JPpy+tL7LPtt+477lfuM+3j7VPsb+sv6afnx+VP4iPeg9sD2DfWR9T70/PS/9Iv0X/Q08//zxPOK81nzKfLx8q/yavIt8ffxxPGU8W7xVvFF8TLxHvER8Q7xAvDH8Evvpu8U7sPutO667qXuau4l7gLuIO6G7y/wCvD/8ezys/NL87z0FfRZ9In0rvTf9Sv1h/XO9eD1vvWC9UT1AfSu9E3z/vPc893zyvNo8qHxm/CU77jvDO557evtXezX7F/r9+uc60/rEerm6tDqz+rd6vTrC+sd6yfrKusn6xzrCur26uvq9usc61brmuvd7CDsbezO7ULtw+5F7r3vIO9j74Lvg+9773vvgO9y7zfuz+5Y7fntx+227arti+1W7RPsw+xg6+LrSeqh6gDpdukQ6NDos+ix6MLo4+kU6VnpuOoy6sHrVOvR7CTsR+xM7EvsW+yD7L/tCO1U7Zjtyu3q7gDuGe437lbucu6T7sHu/u8571/vae9d70LvGO7c7pjuYO5J7lDuYu5w7nruj+627ufvF+9G74DvzfAq8Ibw1vEc8WPxtvIW8nry1vMk82TzmfPM8/z0KPRV9JX0//WZ9lD2/Pd99834Afg7+JH5B/mP+gj6TPpJ+g75xvmi+bP56/ow+nj6yvsq+5L79fxQ/LD9G/2M/fT+Tf6k/wf/e//zAGAAvgEVAWsBwwIcAnYCzgMgA2MDmgPQBBIEYgSzBPsFOwV8BcQGDgZRBo0GyQcKB0kHfgesB94IIQhxCL0I+QknCVkJoAn8Cl4KrwraCtcKsAp9ClQKRApQCnIKnQrHCugLAAsUCzALWQuJC7gL3Qv6DBAMHAwaDBAMDAwcDD4MZAyODMsNLw2zDi4Ocw54DlkORA5LDmgOjw7GDxkPgw/rEDYQYxCGEKUQqxB2D/kPSg6LDcQM5QvVCpgJTAgaByYGiwZdBpgHFweiCAkIQghiCH8IlwiWCHAINQgAB90HvweXB14HIQbpBrIGcgYmBdMFhwVHBQ8E3QSyBI8EcQRRBCkD/APOA6IDdQNGAxUC6AK+ApQCZgI0AgIB0AGhAXEBQQEQAOEAtACJAGYATQA8AC4AHQAF/+v/zv+v/4v/Y/88/xz/Bf7w/tj+vP6g/ov+ff5x/mT+Uv45/hr99f3J/Zn9aP07/RL87PzJ/Kv8lvyL/If8gvx2/GX8UfxA/DH8IPwM+/b73Pu5+4r7V/sv+yP7Oftt+6z74Pvw+8z7dvsE+qL6cvp8+qv63vsE+x/7O/tb+3n7jfua+6T7r/u5+8D7x/vO+9P7zvu++6n7mvuR+4X7cftZ+0f7QvtD+0H7Ofsx+zD7OPtC+0r7S/tE+zT7H/sM+wP7Avr++vD64Prd+vL7Gfs6+0P7NPsb+wr7A/sA+v76+vr2+vL67Prn+ub67fr4+wH7Avr/+vv6/fsC+wj7C/sM+wv7C/sL+wz7DvsQ+xH7EvsU+xf7Gvsd+yD7Jfsu+zr7RftK+0b7Pfsx+yP7EvsA+u362/rJ+rf6pPqU+or6hvqB+nn6bfpg+lb6S/o/+jH6J/oi+hv6Dvn5+eP50vnJ+cH5tvmm+ZT5gflr+VH5OPkl+R35G/kX+Qn48fjS+LH4j/hu+FP4Qfg4+DL4KPgV9/335PfO97r3oPd/91z3Qfc29zj3Ofcq9wn23va19pL2cvZP9iX1+vXR9bH1mfWJ9X31b/VV9TD1BPTZ9LX0k/Rv9En0JfQI8/Dz1/O685rzevNd80HzJfMJ8u7y0/K28pjyfPJp8lzyUPI98ibyEPIC8fnx7/Hf8czxuvGt8aPxm/GR8YnxgPF38WvxW/FF8SzxEvD88O3w5vDk8OTw4vDf8Nnw0fDI8MDwu/C58LfwsvCt8KnwpvCi8J7wnvCl8LDwuPC38LTwufDJ8N3w7PDy8PnxDPEm8T/xT/Fg8YXxyPIm8o7y7/M/83jzmPOd85Lzg/N+84zzsvP39F/06fWC9gf2V/Zi9jL16fWs9Y/1kfWf9av1tvXF9dv17fX09fP1+fYS9jb2VfZk9nH2kvbR9yP3bvei97v3v/e095r3dfdO9zb3Ofdd95335fga+Cz4Ivgf+EL4jfje+RH5JPk1+WD5mfm5+aX5cvlS+WH5iPmO+VD43Phj+A333ve895H3Wfcc9uD2pvZq9i719vXI9aX1i/V59Wz1YvVW9Uf1M/Ub9P/04/TI9LP0pPSZ9I70e/Rf9Dj0DfPo89HzyPPF877zsfOj853zofOs873z0/Pu9AX0DPP8893zxPO/88/z6PQB9Bn0NPRR9Gr0evSA9ID0ffRx9Fn0N/QU8/jz4vPK86vzh/Nh8znzDvLj8sHyu/LX8wrzPfNW80/zNvMf8xTzFvMd8yjzPfNb83rzifOB82jzSvMu8xTy+fLm8unzBfMq80HzO/Mg8v7y2vKv8nTyK/Hj8aLxaPEw8QPw8PEA8SLxMPEI8KjwMO/G74HvYe9X71rvZu9474vvmO+b75nvmO+a753vn++i76nvtO+/78TvxO/E78zv3u/38BLwMPBU8H/wr/Dg8RLxRPF58a3x3PIJ8jXyY/KO8q/yxvLa8vfzIvNW84fzr/PO8+r0C/Q29HD0tvT69S31RfVJ9U31YvWN9cj2BvZE9oH2u/bu9xn3QPdp95n3zfgB+Df4cfiz+P35SfmV+eb6P/qg+wH7W/ur+/X8PfyI/NT9IP1r/bT9/P5G/pH+3P8k/2r/rv/1AEAAjQDaASUBcQG+AgsCVgKhAu4DPQOMA9kEIwRvBMMFHgV9BdoGNAaOBusHSwerCAoIZgi+CRcJcgnQCi8KiArXCxsLWQuYC90MKgx+DNcNLg1/DckODw5VDpsO4Q8mD2oPtBAGEFoQrRD6EUURjRHSEhISTxKTEuATMRN3E6oTzBPsFBIUPBRhFHsUiRSRFJYUnhStFMcU7BUQFSQVIRUOFPsU+BUJFSYVPhVBFS0VERUCFRUVRhV+FZ4VkxVhFRsU1hSgFHcUUhQjE+QTnxNnE1ETXhN+E5YTmhOPE4ITchNSExYSxRJ9EloSaRKcEtQS9BLwEs4SpBKIEogSmhKtErYSthK7Es4S8RMeE1QTkhPQE/gT8BOsEz0SwxJcEg4RzhGMEUYRDxEFET4RtBJBEroTBxM0E2kTxRRDFL4VERUyFTQVMhU1FTYVKBUFFNQUmRRTFAAToRM+EuYSoxKAEoMSqBLiEyATVxOJE7kT6RQPFBoUBBPQE48TUxMlEwES3hK2Ej0SGhH7EeUR0xG9EaIRhRFsEVcRQREoEQsQ8RDfENQQyhC6EJ8QfBBcEEwQThBcEGYQYhBSEEUQQhBLEFUQXRBpEIIQqRDQEOgQ6BDUELkQoRCQEIUQgBCBEIkQlhChEKMQlBB2EEsQEg/GD3EPNA89D6EQNRCSEFQPZg4VDN8MGwvIC60LlAtyC1oLUQtLCzQLDgrlCrsKfwokCboJaglLCUwJQwkgCP8JFgl/CiYK2Qt2C/0Mfgz+DXINyw4PDksOiA7ADugO+Q76DvAO3A6+DpcOcA5KDh4N4Q2SDTsM6QycDEwL9wusC4cLlwvSDBUMPwxHDEEMUAyKDOYNRQ2EDZINeQ1PDS0NHg0mDTwNVA1YDTUM5gyBDCoMAAwLDDQMXgxvDF4MLQvjC4cLJwrOCoYKUgoqCgkJ5gm9CY0JXAkxCQ0I7QjICJUIUAgAB7AHdwdmB4EHtgfnB/8IAAf9CAEIBgf3B8oHjAdNBxkG7QbDBpgGZAYYBakFKwTGBJgEigRWA8ACzwHPAREAqwBpAAD/Tv5x/aX9FPzB/JT8cPxI/Bv78PvK+6b7fvtN+xf66frQ+tT69fst+3D7rfvX++f74/vS+7T7iPtL+wb6v/pt+f35X/id99L3G/aC9f71ifUm9N30p/R29D30APPK853zcPM28vHyq/Ju8jPx9vG48YvxdPFp8VjxOvEZ8QLw5/Co8DPvnu8f7t3uzu7D7pXuSu4P7hLuYO7q75fwXPEw8gLyufNJ87b0DPRS9IT0pvTL9Qb1VfWY9an1f/Ux9OL0ofRr9D70JfQx9Fr0evRh8/zzXfKq8f3xXvDB8B3vcu7D7hbtcezb7Fvr9Oum63DrVOtS62Hrd+uH64vrg+t062HrU+tR62nro+v97Grs1u037ZHt8u5n7uvvZe+879/v1e+y74vvcO9p73LveO9n7yruxe5U7fftxu247bnttO2n7ZTtdu0+7NjsQ+uN6tTqMumz6VjpHOj66O/o+ukY6Ufphuna6kHqs+sb62Prg+uH64XrlOvA7AvsbezX7TXtdu2d7bjt1+397iDuPe5e7pXu4e8q71XvXe9V71TvWO9O7yzu/u7b7s7uz+7N7sru1+797zXvcO+j79rwIvB88NbxIvFe8Zzx6/JN8rTzDfNP84HzsPPh9A70MvRU9JD0//Wh9lX28vdh96r36vg5+J/5GPmZ+gj6SfpF+gf5vPmV+aj55/oy+n36zfsr+5T7+/xb/L39K/2f/gv+av7D/yX/lQAKAHkA3QE6AZMB5wI2AoMC0AMbA10DmQPWBB8EcgTFBQ4FTwWRBdcGHgZhBqIG5AcmB2AHjQe2B+gILAh7CMcJBwk8CXEJsgoDCmEKvgsGCyELCgrPCo8KZQpfCngKnwrICuoLBwsnC1ULkQvRDAMMIQwsDC8MLgwtDDAMPwxcDIIMpgzODQoNZw3WDjEOXA5fDl0OdA6gDs4O+w86D50QEhBvEJcQmxCfELAQqRBbD7UO2w35DRsMJQr4CZ0IRAclBmoGIAZCBrsHXAfvCEkIaQhuCHYIhQiGCGsIOggHB+AHvgeWB2MHKgbvBrEGagYeBdUFlwVjBS8E+ATCBJQEcAROBCgD/QPOA50DbQM8Aw0C4gK5Ao4CYAIvAfwBygGYAWcBOAEMAOAAtACKAGgAVABMAEkAQgAzAB0AAP/d/7P/hP9Y/zP/FP73/tn+uf6b/oL+bv5c/kr+N/4g/gT94P20/Yb9Wf0w/Qz86/zK/LD8oPya/Jj8kfyA/Gn8U/xF/Dz8Mvwi/A779PvS+6j7eftM+yb7B/rv+ub69vsd+0b7Tvsl+tv6mvqG+qT63PsQ+zX7Tfth+3T7hfuW+6b7tvvB+8j7zvvW+9z72/vN+7v7rfuk+5r7iPtw+137U/tP+0r7Qvs9+z77RftM+1D7UftN+z/7KfsU+wn7CPsH+v367Prm+vj7HPs5+z77KvsP+v76+vr7+vn69Pru+un65vrl+uf67fr1+vr6+fr1+vL69fr7+wH7BPsD+v/6+/r5+vv6//sC+wP7A/sD+wb7C/sP+xH7EfsU+xv7JPsr+yr7IvsV+wX68/rg+s76v/qw+p/6jvp/+nT6bvpo+l/6U/pH+j/6N/ou+iX6Hvob+hb6CPny+dv5zfnH+cH5tPmg+Yr5d/lk+U35Nvkk+Rr5FvkP+P/45vjJ+Kv4i/hr+FD4Pvg1+DD4JvgV9/735/fR97v3ofeA91/3Rfc59zf3NPci9wD20/an9oD2XfY69hf19PXX9b71qvWY9Yf1cvVT9Sv0/vTU9LL0kfRt9EX0H/QB8+rz1PO6853zgPNk80bzJPMA8t/ywvKn8o/yefJo8lrySvIy8hTx+PHj8dXxyfG68arxnPGS8Yvxg/F68XHxafFg8VXxRPEu8RTw+/Dn8Nrw1vDX8Njw2PDT8Mvwv/Cx8KbwnvCc8JvwmPCU8I/wivCG8ILwg/CL8JjwofCi8J/wovCu8MDwzPDQ8NTw4fD68RbxMPFI8Wfxl/HZ8izyiPLl8zTzaPN983jzZ/NX81DzWPN487/0NfTV9YH2DPZO9jf14PV+9T71M/VJ9WT1dvWC9ZH1o/Wy9bn1w/XX9fP2DPYd9jH2Wfaa9uf3LPdc93P3b/dQ9yD29fbo9v73K/dZ94D3ove998z3z/fW9/b4MPho+ID4fPiG+MP5KPl/+Zn5e/lZ+Vv5ePl/+Ur44/h6+DT4Dvft97j3b/ch9tn2mPZX9hb12vWo9YD1YvVN9T/1M/Uj9Q709vTe9Mv0vfS09K30pvSb9Iv0dvRd9EP0K/QW9ATz9vPr8+Lz3PPa897z5fPt8/j0C/Qm9D/0RvQ09BHz7fPa89jz4PPu9AT0JfRP9Hf0k/Sg9KL0m/SM9HL0UvQz9Bjz/vPf873znfOF83HzVfMx8xDzCvMr82Xzl/Om85DzbPNU81DzVvNY81fzXfNx84rzlPOJ82/zVPM78x7y+vLg8uTzCPM581XzS/Mk8vPywPKH8kLx9vGx8XTxOPD88Mzwv/DZ8P7xAfDE8FXv3e+F71jvSu9K70/vXO9v74Hvie+F73vvcu9w73Tve++F75Dvmu+g76HvoO+j77DvyO/m8AjwKvBQ8HnwpfDR8P7xLPFc8Yzxu/Hp8hnySfJ28prytfLO8uzzFPNC83DzmvO889fz8fQU9Ev0lfTh9Rj1LvUu9TH1TfWE9cP1/fYv9mD2k/bG9vP3GvdD93L3p/fd+BL4SviL+NP5Hvlr+bv6Efpu+sz7I/tx+7j7//xK/Jv87f09/Yn90v4c/mr+uP8D/0j/h//HAAwAVwClAPYBSAGYAeYCMQJ+As4DIwN2A8MECwRXBKwFCwVtBc0GKQaEBuEHQAefB/sIVQivCQgJYgm/ChwKcwq/CwELPAt8C8MMFAxrDMINFg1lDbAN+A4/DocOzQ8RD1gPpw/+EFgQrRD5ET0RfxHAEgASQhKJEtcTIhNfE4cTohO8E94UAxQgFC4ULxQrFCYUJRQtFEIUYxSEFJkUnBSWFJIUnBS1FNUU7xT4FOoUzRSzFK8UyhT3FRsVHRT0FKsUWBQUE+oT0xO8E5MTWhMpExcTKxNPE2cTZBNTE0ITNRMbEuUSmxJYEjcSQBJhEoASixJ9EmQSUhJWEnASkxKpEqYSlRKOEqUS3hMxE5IT8hRAFGEURBPpE2wS6xJ4EhMRuBFvEU4RZhG4Ei0SnxLvEw8TEBMVE0QTqRQtFKMU5RTyFOIU0xTOFMYUpxRsFB0TxxNyEyES1RKUEmYSTBJJEl8SjBLPEx0TaxOvE+QUBxQTFAETzBN7EyES0hKdEoEScRJcEhAR9BHaEcMRrBGPEXERXhFeEWsRdhFzEWMRVBFREVwRZhFdETkRAhDQELkQxBDiEPsQ/BDmEMkQsxCpEKcQqBCuELsQzBDYENcQyRC2EKQQlxCNEIMQeRBwEGkQZxBnEGAQTBApD/gPvA91DykO9Q8AD2EP8xBYECoPTQ4GDNIMCwu4C5wLfQtPCyYLFAsQCwoK/QrtCtYKpApGCcsJWAkICNQInwhgCDYITQi1CVIJ9QqFCwsLmgw1DMkNQg2eDesOMw50DqAOtQ62Dq0OmQ52DkEOAg2+DXcNJQzEDFgL6At+CyIK4ArECtQLCQtMC3sLgAtfCzILIwtWC84MaQzyDTwNPA0ODNoMvAy3DLcMpAxvDBYLqQtJCxMLGAtLC44LwAvSC8ULoAtpCyMK2QqWCmMKOwoSCd8JpAloCS8I/AjOCKgIiQhrCEQICQe5B2MHHQb/BwwHNAdZB2oHawdvB4YHpge4B6sHfgc/Bv4GxAabBoQGbwY+Bd0FWATgBJ0EgAROA9ADEgJcAfIB2gHQAYIAzv/V/tz+GP2a/VL9Ivz0/L78gvxN/Cj8FPwM/An8CPwI/Aj8BvwC+/z79Pvo+9b7wfun+4b7Wfsh+uj6t/qJ+kz58fl2+Ob4TPeo9vr2T/W89VH1BvTG9IX0R/QU8+zzwPOI80rzEfLe8qfyYfIW8dvxuvGm8YrxW/Eo8QHw4/C18GLv9++W71fvMO7/7rLuYu5D7nbu9O+b8Ejw9PGg8kTy0fM+85Pz4/Qt9GL0ePR99JL0xfT/9RH04PR/9B7z6fPm9Af0P/SJ9OH1N/Vw9Xb1RvTq9HTz7vNf8sfyIfFk8I7vru7Z7ibtmu0t7NTsiOxQ7DDsJ+ws7DbsOuw17CrsJew37HDs1O1b7e7udu7k7zvvie/g8D3wifCn8IrwQO/s77Hvmu+f76vvqu+Q71fvBe6p7ljuIe4F7frt9O3w7e3t4u297Wzs7OxO66zrG+qj6j/p6emj6XLpXOld6W7pi+m06e3qM+p76rbq2err6vjrEOtA64/r+uxz7ODtLu1d7X7to+3P7fjuF+457m7uuO797x/vHe8U7yDvQe9a71PvL+8L7vvu++797v/vEu9F75Hv3fAW8EPwevDF8RvxZ/Gh8dTyFfJt8s7zJPNi85Hzv/Pw9Bv0OfRX9JP1BvWn9lD22/c/95L37fhY+Mn5NPmX+ez6IPoe+ej5pfmF+aH56Po7+on62fs2+6D8DPx0/N39UP3K/j/+pP8A/17/wQAnAIoA6gFMAawCBQJSApUC1QMWA1gDnAPnBDkEjgTeBSQFZQWmBecGKAZnBqsG9Ac6B3UHowfPCAYISgiTCNkJGQlYCZgJ2QodCmoKvgsMCzgLMgr+CrkKhApwCnsKmwrACuULBwsuC2ELogvnDCMMSgxcDGEMXwxcDGIMdwyaDMIM4g0CDTINfg3WDhwOQw5dDowO3A80D3cPow/ZEC0QjRDKEM8QsxCiEKIQhBARDz8OOQ0zDDQLHQnVCHEHMQZSBe0F/AZlBwkHuwhLCJkIpwiXCIkIiQiGCHEISggcB/AHxgeYB2QHLQbyBrAGZwYdBd4FrgWFBVcFHwTiBKkEeQRRBCsEAgPWA6YDdANBAxAC4QKzAoQCVwIrAf4BzwGeAW0BPwEVAO0AwwCaAHkAZwBjAGcAaQBkAFMANgAO/9z/p/9y/0P/Gv71/tL+s/6V/nn+Xf5C/in+Ff4B/en9yP2f/XL9SP0j/QL85fzK/Lb8qvym/KL8lvyB/Gn8WPxP/En8Qfwz/CL8Dvvz+837n/tv+0D7DvrZ+q/6q/rd+zL7ePuA+0b68/q8+rv64/sW+z77V/tn+3P7ffuK+5z7s/vG+9H71fvY+9774fvc+8/7wvu5+7H7pPuT+4D7bvte+0/7RftE+0z7Vvtb+1r7WftX+1D7P/so+xf7EPsP+wr7AvsA+wz7Ivsv+yf7D/r3+uz67Prw+vD66/rm+uP64/rl+un67fry+vT68/ry+vL69fr5+vz6/vr7+vX67vrq+un66/rt+uz65/ri+uD64Prh+t/62/rZ+tz64/rr+vD67/rq+uH61vrK+r76tPqq+p/6kfqC+nT6aPpd+lD6Q/o5+jL6Lfom+h76GPoU+hD6Bfnz+eD51vnT+c/5wvmu+Zj5hfly+Vz5Rfkx+ST5HfkS+QD46PjN+LH4kvhx+FT4P/g0+C34I/gT9/736PfQ97X3mPd491v3R/c89zX3K/cV9vL2yPae9nj2VvY39hv2AvXt9dn1xfWv9Zf1evVV9Sj09/TL9Kb0hfRk9D/0G/P98+Xz0PO4857zhPNp80rzJvL98tfyufKk8pPyg/Jy8l7yRvIo8gfx6PHQ8b3xrPGb8YvxgPF68XXxcPFn8V7xVPFI8TjxJfEP8Pnw5vDX8M7wzPDO8NHw0PDL8MDwsfCg8JHwh/CE8IPwgfB78Hbwc/Bx8HHwcvB48IDwifCN8I7wkfCa8KfwsfC18Lnww/DX8PLxD/Eq8UTxX/GB8bHx9fJL8qfy+fMv80jzR/M78y3zKPM0813zsfQ29OH1i/YA9hf11PVn9Q306fT09Qz1HfUq9UH1ZfWH9Zr1nvWf9aX1tvXR9fz2NvZ49rn28fch90T3Svco9ur2u/bB9wD3UPeG95b3lved96r3sPet97P3zffv9/33+PgE+Ej4vvkz+W/5bflZ+Vr5b/lw+T/46fiY+Gb4R/ga98/3cPcU9sj2hfZD9f31uvWD9Vn1O/Un9Rn1DPT79OT0yvS29Kv0qvSu9LP0svSn9JL0e/Ro9F70WfRP9Dz0JPQP9AX0B/QT9CD0KPQs9C/0OPRH9Fj0XvRT9Dr0HvQG8/fz7/Px9AD0IfRN9Hn0m/St9LL0q/Sa9H/0YfRF9Cz0EfPx89HzvPOz867zm/N381XzUPN287Pz4fPl88PzmfOC84HzhfN+82/zavN284fzjPN982TzTfM58x7y+/Li8ujzDvM7807zOPMH8s7ylvJX8g7xwvF/8ULxA/DD8JjwmvDE8O3w4vCR8BXvo+9d70PvPe877zvvRe9W72bvau9h71XvTe9N71TvXu9p73TvfO+B74TviO+S76Lvu+/b7/7wJPBL8HPwm/DG8PLxH/FM8XjxovHL8fXyIPJI8m7yk/K58uHzCvMy81jzfvOk88jz6PQK9Db0cPSu9N709/UD9Rb1QvWB9cH18/YZ9j32aPaY9sf28fcb90v3gfe59/D4J/hk+Kn49flE+ZT55/o9+pL65Psv+3T7ufwD/FX8rf0F/Vb9ov3s/jr+jf7g/yr/a/+o/+cALAB4AMoBHgFyAcMCEQJeAq4DAgNXA6YD8wRBBJcE9AVVBbUGEgZuBsoHJQd+B9cIMAiKCOQJPQmWCfAKRgqVCtsLHwtoC7kMDwxkDLQM/w1JDZQN4A4sDnYOvQ8CD0sPnA/zEEwQnRDkESURZhGqEe8SMxJ3ErsS+hMsE08TaRODE6ATuxPJE8sTxRO/E7sTuhO9E8gT3RP2FA4UHRQoFDIUQBRRFGYUeRSFFIEUbhRWFEsUWhR9FJwUnRRwFBsTtxNkEzgTLhMwEyAS+RLPEsAS1BL4EwoS/RLdEsISsBKaEnESNhIAEeIR3xHoEe8R6hHeEdUR2RH0EiQSVxJ5En0SbxJtEpES4hNVE9MUQRSHFJMUYxQIE54TNhLOEmER/BHGEeQSWxMAE4sTyBOxE2kTKBMVEz4TlRP3FEEUYRRcFEoUPBQ1FCYT/hO6E2MTCBK3EnsSWRJSEl8SdBKKEp8SuxLoEyYTbBOtE9wT8xPtE8gTgxMmEsQSchJBEi4SKhIjEfsR7xHnEeER0xG7EaERlxGoEc0R7xH+EfoR9RH9EhESIBIUEecRphFtEVQRYBF/EZURjxFxEUkRKBEREQAQ8hDnEOEQ2hDQEMEQsBCjEJgQihB2EF8QSxA7EDAQKBAgEBUP/w/bD64PfA9HDxMO7g72Dz8PsQ//D9IPCQ3eDMEMCAu6C58LfQtFCw4K8ArsCvUK/Qr/Cu0KswpECbEJHwioCEYH5Ad+BzMHLQd9CAkIpAk2CcgKbAslC94MgA0EDXANzQ4WDkQOVg5UDkgOMQ4IDckNdg0ZDLcMSgvLCzMKjQnxCYMJYQmRCfYKYwqsCroKkQpHCfwJ1gn3CnELLwv3DIwMyQy9DI4MXww1C/4Lqws9CsYKYwoqCikKXQqsCvgLJws2CzELHwsDCtcKoAprCj4KFwnoCawJawkwCP8I0QigCG4IQwggB/oHwgdyBxYGyAaeBqAGvAbbBuwG8wcABx8HSAdoB24HVAckBukGsgaMBn0GdgZXBgQFiAUMBLkEiwRVA+8DYALdAp0CngKsAoMCBQFBAF7/hf7M/j791P2A/TX88vzE/Lj8zPzx/RP9Jv0m/RT87fyz/Gz8Ivvd+6L7c/tN+yr7BPrZ+rH6kPp3+lz6Nvn9+az5Ofib99j3DPZZ9dH1bPUY9Mz0jPRd9Df0D/Pe86/zifNo8zry9fKj8lryJfH48cPxg/FE8Rjw/fDi8LjwhPBT8Cjv8u+g7zju5u7b7zHv0vCP8UHx3/Jt8ubzP/N285zzy/QG9DP0OPQe9Ar0HfRH9FX0IfO581rzQPN38+H0WvTR9Uz1z/ZN9qn2zPat9lr17PV69Qn0ivPl8w3yFPEf8FLvuO9C7tPuWu3f7XrtQu1B7Wrtpu3Z7fnuDe4r7mXuwu8577XwJPB28KvwzPDp8QjxIvEh8PnwtfBx8EfwOvA58C3wDO/b76LvZe8m7urut+6S7nnuZu5X7knuN+4T7dPtdO0D7JTsMOvW633rH+rB6m3qLuoF6e/p6Onv6gTqKOpU6n/qouq76tDq5+sP61Prt+w07LHtFO1U7Xntlu227dPt7O4J7jzug+7H7uvu6u7h7u7vEe8v7yvvCe7n7t/u7+8G7xzvP++C7+HwPvB/8KXwy/EG8VTxnvHS8fjyJ/Jv8snzH/Nj85fzx/P59CX0RfRn9Kf1GPWv9kX2vvcd93739fh3+Oz5RvmN+cr58/ny+cf5kPl6+Z356/pD+pX65/tH+7b8Kvyb/Q/9i/4L/oX+7/9L/6P/+QBLAJsA8AFQAbkCHwJ2ArwC9wMvA20DtgQJBF8ErgTyBS4FagWqBekGJgZjBqoG+AdEB4IHtQfqCCoIcgi2CPIJLwl1CcEKBgpACnoKvQsFCzgLPgsWCtUKmwp9CnwKkgq1CtoK/wskC1MLkgvfDCwMagyRDJ8MmwyRDJAMowzJDPANCg0fDUQNhw3eDi4Oag6lDvoPaw/WEBsQOxBWEIQQtxDMELgQlhCEEHcQOQ+XDpQNZQw9Cx8J7gifB1cGXAXcBdsGOAbLB3QIEwiKCMYIzAi4CKYInAiSCH0IWQguB/8HzQeWB14HJwbvBrAGagYlBeoFvQWWBWwFOAT9BMEEigRbBDIECgPfA7EDfgNKAxYC4QKsAnoCTgIoAgUB3QGuAX0BTgEkAP8A2QC0AJYAhACBAIcAjgCPAIEAYwA3////xP+K/1X/JP74/tH+sP6R/nH+T/4u/hH9/P3p/dL9tP2O/Wb9Qf0f/QL85/zR/MH8tvyv/KT8lPx//Gz8YPxb/Fb8S/w9/DH8J/wW+/T7xPuR+2P7N/sE+tL6vvri+zr7lvu9+5n7SPr/+uL68PsT+zf7Vvtw+4H7h/uK+5f7sfvO+9773vvX+9X72/vh+9/71/vP+8j7wvu5+6r7lft7+2L7UvtR+1v7Z/ts+2n7aPtq+2r7XvtG+yr7GPsR+xL7F/se+yn7Mfst+xz7Avrt+uP64vri+uH63vrc+t364Prj+ub66vrs+u367frt+uz66/rq+uj65/rl+uL63frY+tT60vrO+sf6vfqz+qz6qPqn+qb6pfqk+qf6rvq3+sD6xvrK+sv6yfrE+rv6s/qr+qT6mvqM+nz6bfpf+lL6Rvo7+jX6Mfoq+iD6FvoO+gn6Avn3+ev54/ng+dr5zvm8+ar5mfmG+XD5V/lD+TX5Kvkc+Qj47/jV+Ln4mfh2+FT4O/gq+B/4E/gF9/T34ffK9633j/dy91z3TvdE9zn3JvcJ9uX2wPac9nz2X/ZC9in2E/YA9e712PW/9aL1gfVa9Sr09vTF9Jv0efRZ9Dj0F/P78+PzzfO2853zg/Np80vzKPMA8tryvvKs8qHylfKC8mjyR/Il8gTx6PHQ8bvxpvGT8YPxefF08XDxavFi8VjxSvE38R/xB/Dy8OHw1fDO8MnwyfDL8MzwyfDC8LbwpvCT8IPwePBz8HHwbvBq8GXwZfBo8Grwa/Br8G3wcfB38Hvwf/CF8IzwlPCa8KLwrvDB8Nnw9vES8SnxOfFD8VPxd/G68hryhfLk8yLzOfMw8xvzDPMO8yXzWPO09EH06/WC9c71uvVj9Qb0z/TB9MT0yvTa9QT1RPV99ZX1hvVk9U31VPWB9cv2IPZq9p/2xvbx9yD3Ofci9uf2uvbO9yT3iPfC98f3u/fC99j33/fG96T3l/el97n3w/fX+BP4efji+SL5Mvky+UD5V/lW+Sn45Pip+Ij4a/gw9833W/b39qz2bfYr9eL1m/Vi9Tn1HPUJ9Pv07vTe9Mn0tfSm9KP0qfS19MD0wfS29KH0ivR+9H/0g/R89GT0Q/Qq9CT0MfRG9Fb0XPRb9Fj0VvRX9Fr0XPRZ9FL0RvQ39Cf0GvQU9Bz0MvRR9HL0jfSh9Kz0rPSf9Ij0bPRR9Dn0H/QE8+/z5fPm8+Lzy/Ok84Tzh/O08/H0FfQL89zzqfOL84PzgPN082fzZ/N184DzdfNR8yjzC/L78u/y4/Lk8v/zKvNK80PzFfLW8pzyaPIv8e3xp/Fn8Sfw3/CZ8HLwgvC58OTwzvBv7+/vhe9N7zvvM+8q7yPvJ+8z7zvvOO8u7ynvLe8370LvSu9R71fvXu9m73DvfO+L753vs+/P7/PwGvBC8GrwkfC78OnxGPFE8WzxkPGy8dPx9fIY8jzyZfKT8sDy6fML8yrzT/N987Dz3fQC9CD0QfRq9JX0vfTi9Q31QvV89bL12fX29hX2PPZr9pn2xfbv9x73VPeO98j4A/hB+IX40Pkf+W/5vfoJ+lX6ovrv+zj7ffvB/Az8Yfy9/Rb9Z/2z/gP+Wv6z/wX/TP+M/8sADwBYAKUA9wFNAaMB9gJGApQC5AM1A4gD2gQuBIUE3wU6BZUF7wZJBqIG+AdNB6QIAAhfCLoJEglmCbsKDwpeCqoK9gtKC6UMAAxTDJ0M4w0qDXcNxQ4TDl8Oqg70D0APkg/mEDoQhhDKEQwRUBGYEd8SIBJaEo8SwBLrEwwTJxM/E1MTYRNlE2MTYhNmE20TchNyE3ITeROIE54TthPLE90T5xPsE/ET+RQDFAYT/xPyE+4T/hQcFDUUMRQDE60TRhLsErcSqRKtEqcSihJmElQSYhJ9EoYSbxJEEhwSAhHsEcwRoBF2EVsRTxFJEUMRPRE8EUQRWRGAEboR+hItEkYSUBJlEp8TBBOCE/sUURRwFFYUFBPJE40TXxMsEuQSnxKREuMThBQqFHwUVBPRE0IS6xLgEwwTSRN6E5gTphOqE6oToxORE3ATPBL4EqsSXxIiEgASAxImEloSiRKmErUSwhLbEwITMBNaE3gThBN7E1oTIBLTEoESPhIWEggSBxIFEgESEBIoEj8SShJCEjESKRI0Ek4SZhJuEmYSXBJaEl8SXhJKEiAR6RG8EakRrRG7Eb4RrBGNEW4RWBFIETURHhEFEO0Q2BDBEKwQmxCOEHwQXhA1EA4P9Q/qD+cP5Q/eD9IPuw+YD2wPQA8aDvkO4Q7jDxEPXg+SD2UOtg2vDK0L/wuzC5oLfQtKCxIK8QrtCvsLCwsPCvMKpQoiCX0I2AhJB8kHQwa1Bj0GBgYlBokHEAekCEkJCgnkCsMLjAwzDL0NLg2CDbYNyw3IDbgNnA1uDScMyAxbC+cLZwrKCgEJGAg7B68HpggcCNAJaQmmCYUJLgjRCI4IcgiSCQEJwQqrC30MAQwuDBwL5wubCzEKrQomCboJfwl6CaQJ7ApACoYKsQrCCsUKxQq+CqcKfQpMCh0J8Am9CYIJSAkbCPgI0wihCGQIKwf9B88Hjwc2BtAGeAZDBjgGSQZjBngGhwaZBrQG1AbtBvcG7gbZBrsGmgZ/Bm8GYQZABfcFiwUbBMgElARiBBMDpgM6AvEC0gLKArsCjgI1AacA6AAP/z/+k/4S/bP9cv1W/WX9k/3C/dn90P2w/YL9Sv0C/Kv8Svvq+5X7Uvsf+vr63Pq/+qL6hfpq+lP6Pvol+fj5ofkV+F33mPbl9lT13PV09Rz02vSv9I30afRA9B30BvPx88vzj/NG8v3yuvJ38jDx6vGw8YfxafFR8ULxQvFM8UnxHfC68D3v3O/P8Crw1PGd8lry+vN889f0AfP88+Pz2vPv9Av0DPPt883zzvPn8+zztfNT8wXzCfNn8/X0gvUB9YP2HvbF91H3mfeO90H22/Z99jD14/V19M3z9vMV8lPxxPFX8OrwY+/E7zHu1+7U7yPvoPAZ8HHwofC98Nfw+/Ek8UzxbfGD8YjxfvFt8WDxW/FU8UHxIfEC8O7w4fDN8KHwY/Ah7+vvwO+X72zvQO8c7v/u5e7L7rDulO5y7kTuB+3D7YLtSO0S7NTsh+wt683rcusl6u3qzOrD6svq3+r46xHrJesx6zbrOetG623rvew17L/tPO2S7bztyO3H7cPtwu3S7gDuS+6c7tTu5u7l7uru/u8L7vzu1u637rvu4e8R7z3vbe+18Bjwf/DL8PjxGvFI8YfxxPHt8gbyKfJo8sDzHPNl85zzy/P89C30WPSF9Mj1MPWv9iv2kvbw91z34vhv+Of5Pfl/+bb52/nb+bX5hfl3+Z356/pD+pn68ftX+8z8RvzA/T/9xP5H/sD/J/+D/9gAJwBwALMA/AFVAb4CLQKSAuQDIgNXA5AD1gQpBHsEwAT1BSUFXAWeBeIGIgZkBq4G/wdKB4gHvgf8CEgIlgjZCQ8JSQmSCeMKKQpeCo4KygsQC0YLUgstCuwKrQqFCn0KkQq1Ct4LAgsjC00LjQvkDEMMlAzHDNcMywy4DLEMxQztDRMNJg0yDVMNng4LDngO0A8dD3UP3BA7EHUQiBCMEJIQlBCAEFsQPhA1ECAPwA7vDcMMeAs9Cg8I2AecBowF5wXIBhsGqwdKB9sIUQieCMAIwgi6CLMIrAifCIUIYgg7CA4H2QedB2EHKgb0BrsGfAY6Bf4FygWcBW8FPgUIBNAEmQRmBDoEEQPoA7oDhwNRAxoC4QKoAnMCRwImAggB5gG8AY0BYAE3AREA7gDNALMApACgAKUArACtAKEAgQBRABX/1v+b/2P/L/7+/tL+q/6J/mf+Rv4m/gn98v3a/cD9of2A/V/9QP0j/Qf87vza/Mn8u/ys/Jr8hvxz/GX8XfxZ/FP8SPw9/Dj8OPww/BT75fuw+4T7Xvsv+vf6z/rZ+x77efuw+6T7Zfsh+vz6/PsS+zD7VPt6+5b7nfuZ+5z7tPvW++v75/vU+8b7yvvY++P75fvg+9v72PvU+8r7uPuf+4T7cPtr+3H7eft7+3f7d/t++4P7fPtj+0H7Jvsb+x/7K/s6+0b7SftA+yz7FvsC+vP65/rd+tf61frW+tn62/re+uL65vrn+uX64vre+tr61frO+sj6xfrF+sT6xPrD+sD6ufqw+qP6mPqO+oj6hvqH+o36lPqc+qT6qvqx+rj6wPrH+sz6zPrG+rv6rvql+p/6l/qK+nr6a/pg+lf6TPpC+jr6NPou+iP6F/oM+gT5//n5+fH56vnj+dv5z/nA+bD5ofmP+Xn5YvlP+UL5Nfkk+Q348/jY+Lz4nPh3+FT4N/gi+BL4BPf19+f31/fE96v3kPd592n3YPdW90X3KfcE9t72vfah9or2cvZX9jv2I/YO9fv15/XO9bD1jfVj9TP0//TM9J/0efRY9Dj0GfP98+bz0fO686HzhvNq803zLfMK8ujyzfK98rPyp/KS8nLyTvIr8g7x9vHh8cvxtvGi8ZHxhvF/8XjxcPFl8VjxRfEs8Q7w8fDc8NDwy/DJ8MnwyfDJ8MfwwPC18Kfwl/CG8Hbwa/Bm8GTwYvBf8F3wXvBh8GPwYfBc8FnwWvBf8GTwaPBq8G3wc/B78IjwmPCt8Mfw5fEE8SDxMfE18TTxQfFv8cfyP/K68xbzPvM08xLy9fLu8vrzGfNW88T0YfUF9XT1ifVS9QL0xPSj9JH0ivSd9Nr1MvV89ZD1a/Ur9P71AfU79Z32BfZX9of2o/bF9vT3F/cO9uD2vfbZ9zb3nvfZ9+H33vf1+Bv4J/f/9773kPeN96X3wvfh+BP4Wvig+Mz43/jw+RH5Mvky+Qf4yfib+IP4Zvgi97T3OfbS9of2S/YK9cP1f/VJ9SL1BfTu9Nr0y/S99K/0pfSk9Kz0vPTM9Nf01vTH9K/0m/ST9Jj0nfST9HT0T/Q59Dz0U/Rt9H30gvR/9Hr0c/Rq9GH0XPRe9GP0ZvRj9Fv0UvRN9E70VPRf9Gz0fPSM9Jv0pPSg9JH0evRg9Eb0LvQZ9A70DfQN9ALz5fPB87DzwfPw9B70K/QL88/zl/Nz82PzWvNS81TzZPN383XzT/MP8tHyq/Kj8rDyy/L28y/zX/Np80Dy8vKh8mPyNfII8dTxm/Fg8RzwyfB68FLwZ/Ch8MfwqfBG783vcO9B7y3vHu8O7wXvCO8P7w3vA+777wDvEu8o7zjvQO9E70fvTe9W72PvdO+G75fvq+/F7+jwD/A28FvwgfCr8NrxCvE28VvxefGU8a7xyvHo8gvyM/Jf8o3ytvLZ8vnzIPNV85Lzy/Pz9An0GPQy9F30lvTT9Qr1PPVm9Yr1qPXE9eP2CvY39mf2lvbD9vH3JPdd95z33fgf+GP4rPj4+UT5jPnQ+hX6Yvq5+xD7XPuc+9r8I/x6/Nj9Mf2F/dn+Mv6L/t3/Iv9h/6L/6AAyAH4AzQEjAX8B2wIxAoACzAMZA2sDwQQaBHIEyAUdBXIFyAYeBnMGxgccB3cH2Ag8CJoI8QlCCZIJ4govCnoKyQsgC34L2gwuDHkMwQ0NDVsNqQ32DkIOkg7lDzgPig/cECoQchC1EPYROhGBEcUSARIzEl0ShRKpEsYS3RLvEvwTBBMIEwwTFxMnEzcTPxM9EzcTNBM6E0oTYRN4E4oTkhORE48TkROXE5kTkhOIE4cTlxOzE8oTyxOsE24THRLMEo4SbRJeEk4SLxIHEe0R6hH1EfUR3BGvEYIRYRFFESYRARDhEMsQvxC4ELQQtxDEENkQ+REnEWYRrBHrEhcSORJnErQTHhOOE+UUCRP1E7QTZRMsExsTKRM1EyoTGhMyE4wUCRRcFEATrxLuElYSGxIxEmgSlhKxEsoS7RMWEy0TIRLvEqcSXhIdEeURsxGKEXkRiBGyEeYSEBIrEkASXRKGErAS0RLkEuwS7xLrEtsStxKDEkoSGxH+EfQR9RH5EjASUhJ6Ep8StxK9ErUSqhKhEpsSkRKAEmYSSRIsEg8R8hHUEbYRnRGLEYIRfxF5EWkRUhE8ETMRNBE1ESwRFxD7EOEQyRCvEJUQfBBhED0QDQ/XD6wPmQ+bD6QPqQ+mD5sPhg9iDzQPBQ7eDsEOrQ6qDsUO+w8mDwkOgQ2iDLUMAwulC4ALaAtECx0LBAsDCxALGwsRCuEKgQnzCUsIpQgPB4AG5wZCBakFQAUcBTwFkAYPBrwHmAiUCZIKdgszC80MSAynDOQM/gz9DOgMxAyMDDsL0gteCuYKYgm5CNEHtAaeBeoF3wZ2B1MH+AgbB8oHVQcDBu8HBwdCB68IYglNCjkK6wtGC1ULLgrhCnMJ8gl/CTcJIQkxCVsJlgnfCikKZAqFCpMKlwqVCoQKYQozCgMJ1AmiCWwJOgkUCPcI0widCFsIHQfpB7UHbAcJBpoGOgX6Bd4F2wXkBe8F+QYDBg8GHAYoBjEGOwZGBlEGVgZUBkoGNQYLBcUFaAUIBL4EjARjBCkD1gNxAwoCsQJxAlYCWQJcAjABtgD6ACz/ev73/pr+W/4+/kX+Xv5n/kf+Af2w/Wr9Mvz8/Lj8ZPwI+7H7afs0+xH6+/rm+sv6pvp7+lH6MPoV+e75pvkz+KD4BPdy9uz2a/Xy9Yz1R/Uc9Pv01fSv9JL0gPRt9FD0J/P588jzjvNL8wry1/K18pTyavJD8jnyWvKU8rbylfIo8ZTxG/D18Tjx0/KX81rz//R79ML0xvSO9Dvz/PPt9AL0FfQQ9ADz//QL9ATzzfN28zrzTfOw9DP0qfUO9YP2IvbZ93b3yPe+93H3Cvav9nD2RPYQ9bf1MfSN8+3zavMG8qryO/Gx8SbwyPC98QvxkfIc8oHytPLA8rTymvJ08kbyG/H58d3xwvGj8YjxdvFs8WLxVPFD8TTxI/EE8NLwlPBa8C7wDe/r78Pvm+9772LvSe8s7w7u8+7a7r3ul+5t7kXuJe4L7e3tw+2I7Trs4OyH7EHsGuwS7B7sMuxD7E/sUuxL7DjsHuwK7BDsQOyh7Sbtq+4Q7j7uO+4Z7e7tzO3E7eXuMO6Q7uHvDe8X7xXvFe8R7vru1O667sbu+e8773Xvp+/n8D/wpPD98TrxZPGL8bXx2vHy8gXyJvJn8sPzIfNr85/zyvP79DT0bfSm9Oj1O/Wa9fn2VPa09yn3tPhC+L35Hvlt+a350/nQ+an5gPl5+aL57fpD+pz6+/tm+9v8VfzT/Vn95P5p/tz/Pv+W/+0AQACMAM8BEgFgAbwCIgKIAuIDKgNkA5sD3QQrBHoEugTpBRUFTQWUBeAGKAZvBrsHCgdSB40HxQgICFsIrwjzCSoJZQmvCf8KQwp2CqcK5wsyC2sLdQtLCwIKvAqRCosKpwrWCwcLLAtJC28LsAwLDG4MvwzsDPMM4QzNDMsM5g0TDTcNRA1LDW4Nxg5JDswPMg97D74QCRBSEIYQnRCcEIcQWhAYD9cPsw+qD4gPDQ4gDOELkQpXCS0IBwbyBiQFzgX3BnsHIQe8CDYIhgisCLMIrwiuCLMIsgiiCIYIZQhDCBwH6weyB3cHPwcIBtAGlAZWBhkF3wWnBXAFPAUIBNEEmgRnBDwEFgPvA8IDjwNYAyAC5QKpAnECQwIhAgUB6AHFAZ8BeAFRASoBBADkAMwAvwC5ALkAugC3AKoAiwBaAB3/3P+f/2f/M/8A/tD+pP5+/l3+Qf4l/gv97/3R/bH9k/13/Vz9Qv0l/Qj87vzZ/Mb8svyb/IT8b/xd/E/8Rfw//Dv8N/w0/Db8Ovw3/CL7/PvN+6L7eftH+wv63vrj+yP7fPu0+6j7Z/sk+wP7CPsf+zz7XvuG+6f7tPut+6j7t/vX++/77PvV+777u/vK+9376fvs++v76Pvk+9z7z/u++6r7mPuN+4r7ifuH+4T7hvuN+5P7jvt6+177Rvs6+zv7RftS+137Yftb+0z7Ovsl+xD6+vro+t362vra+tn62Pra+t764vrh+tv60vrK+sP6vfq4+rT6sfqw+q/6sPqy+rL6rPqg+pP6ivqG+ob6h/qM+pf6p/q4+sT6yvrN+s/60frT+tT60PrF+rX6pfqb+pT6jvqB+nD6YfpZ+lT6TPpA+jT6Lfoo+iH6FvoK+gH5/Pn3+fD56Pnf+db5yvm9+a/5n/mN+Xn5ZvlW+Ur5Pfkp+RD48/jY+Lv4nPh5+Fn4Pvgp+Bf4Bvf29+X31ffD9633mPeG93r3cvdm91D3L/cH9t/2wfar9pv2h/Zt9k72MfYa9gj19/Xh9cP1nPVu9Tz1CfTZ9K/0ivRo9Ef0J/QK8/Lz3vPK87Hzk/N081fzOvMd8wDy5vLT8sXytfKd8n3yW/I88iPyD/H78eXxz/G68ajxmvGO8YPxd/Fq8VnxQvEl8QPw5fDQ8MfwxvDH8MnwyPDF8L/ws/Cj8JPwhPB28GrwYPBc8FvwW/BZ8FfwVvBW8FTwT/BH8EPwQ/BH8EvwTPBM8E7wU/Bc8Gvwf/CX8LTw1fD48RrxNPE+8TzxPvFa8aHyEvKT8v3zMfMt8wjy5PLS8tPy4vMN82vz/vSj9Rz1QPUW9M/0lfRy9Fr0T/Rk9Kn1C/VZ9Wn1O/T29Mr00/UT9XX13PYv9mH2fvae9sj26/bp9sX2qPbA9xP3dve298z32vf/+DD4Qvge99j3nveN96D3wvfp+Bf4Sfhx+Ij4mvi7+O35FfkS+OH4n/hw+Fj4O/f595H3Gvay9mL2HvXb9Zj1XvUy9RH08vTT9Lf0ovSV9I/0kvSh9Lr01/Tv9Pn08vTb9L70qPSg9KX0p/SX9HT0TvQ79ET0YvSB9JT0nfSg9J/0l/SJ9Hv0dPR39ID0iPSL9Ir0iPSE9H/0evR59Hv0gvSM9JX0m/Sc9JX0h/Ry9Fn0Q/Q09C/0L/Qo9Bbz+vPm8+j0AvQh9Cz0FfPh86fzfPNl81nzUfNP81nza/Nz813zI/LX8pjye/KD8qjy4fMn82rzjvN68y3yxfJn8ifx/PHX8a/xhPFQ8QrwsPBc8DPwR/B78JbwcPAR76bvVe8o7wzu8+7f7tru4u7o7uHu1O7O7tru9e8R7ybvM+8770DvRe9L71XvZu95743vo++9793v//Ai8ETwavCW8Mfw9/Eh8ULxW/Fw8Ybxn/G88d3yAvIq8lbyg/Kv8tjzBPM483XzsfPd8/X0AvQW9D/0e/S79PD1FvUx9Uz1a/WL9az1z/X59iv2YvaY9sr2+/cx93D3tff6+D34gfjL+RX5WvmW+dX6I/qG+vH7UPuY+9D8DPxY/LD9C/1l/b7+F/5s/rT+7v8i/17/pv/3AEkAnAD0AVQBtgIUAmcCswL/A08DpQP9BFUEqgT8BU0FoAX0BkoGoAb6B1oHwAglCIII2AknCXYJxQoRClsKqAr8C1ULrgwBDFAMoQzzDUQNjw3XDiMOeA7TDywPgA/PEBoQYhCjEOARHBFbEZoR1BIEEisSTBJoEn0SjBKYEqISrhK8EswS3hLxEv8TBxMGEwIS/xMCEwoTFxMmEzQTPBM+Ez8TQxNFE0ATMRMeExUTHRMzE0kTUxNLEy8S/xLDEoYSVBIyEhMR7BG9EZMRexFzEWsRVhEzEQwQ6BDGEKIQgRBnEFoQVxBbEGQQdBCNEKwQ1BEIEUkRkBHPEgASLhJpErsTFxNkE4kTeRM8EuUSkxJkEmYSjBK3EtIS5RMJE0UTeRNrEvoSRBGSESwRIxFWEZERuRHZEgsSUhKXErISjBIuEb8RYhEpEQoQ9BDgENcQ4hD/ER0RNBFLEXYRvRITEl4SiBKUEpQSlhKbEpgSghJeEjUSFRIEEgASBxIXEooSoRKzEsESyxLREtMSyhK1EpISaRI+EhMR5BGuEXARNxENEPgQ9BD4EP0Q/RD4EO0Q4RDaEN4Q6RDyEPAQ4hDPEL0QrBCTEHEQRhAVD94PpA9xD1MPTw9cD2sPcA9tD2UPVg85DwoO1Q6lDoAOaA5eDm0Olw7DDsAOZg21DN4MIgulC2YLRgsuCxoLEQsXCyILIgsHCsUKWwnRCTYImggFB3AG0wYtBYwFAwShBHAEdwTCBVsGPAdJCFwJUgoeCsMLSAutC/EMDwwMC/ALvAtxCwwKlAoXCZ4JIgiBB5sGcAU/BG0ETQTcBbUGTgZYBe4FcgU8BV4FswYYBpMHQggoCRsJ3ApLCm8KYwo5CfcJqQljCTYJIAkWCRUJLwl1CdsKPgp+CpIKigp4Cl4KOwoPCeIJuAmMCV4JMQkKCOUItgh3CDIH9AfCB40HQgbdBnEGEgXLBZoFeAVfBU4FQQU2BS0FKgUwBUAFWgWABa0F2wX9BgwGAAXZBZcFRQTyBK8EfwRYBCsD6gOQAx0CmwImAd4B0gHqAfABugFKAMgAWQAI/8T/gf9G/xz++/7J/nL9//2Q/T39B/zd/Kj8YfwP+8D7gftX+z/7Mfsg+wL61fqc+mP6MvoJ+d35nvlG+N/4dPgJ95T3D/aI9hf1yfWW9Wr1PPUS9Pf06PTc9M/0x/TE9L30ofR09E70P/Q89Cfz8fO286Tz0fQZ9D/0EfOR8u3yZPIm8knywvNv9Cb0xPUx9V/1RPTo9HD0FPP59Br0TPRo9Gr0Z/Rn9Fn0J/Pg87LzxvQX9Hj0xvUI9Wb1+/ay91T3sfe794X3MPba9pb2b/Zf9k32HvXB9UL0v/RU9AbzxPN48yHy1PKw8sPzAPNG83fzhvN481fzJvLl8pvyU/Ic8fjx3/HJ8bLxnfGI8XLxWPE/8SnxFvD98NvwsvCM8GvwS/Al7/vv1u+776fvj+9y71bvQe8x7xzu/u7a7rzuqe6g7pnuju517knuCO2/7YPtZe1m7Xrtke2j7a/tsu2p7Y7taO1D7TDtQO187dzuS+6m7tXuz+6g7mDuJe4E7g/uTO6t7w7vTu9k72DvVu9J7zPvEu787wfvOe9+77zv6/AZ8F3wtvEV8WTxm/G/8dbx4/Hq8fjyHPJh8r7zG/Nj85bzwfP19Db0fPS99Pf1MPVu9bj2EfZ/9wL3jvgU+Ir48vlO+ZX5ufmw+Y35cfl5+ar59fpL+qf7DPt4++f8WPzT/V397f5z/uL/Pv+U/+0ARwCbAOYBKgFrAa8B+wJQAqoDAANJA4kDywQVBGIEpQTbBQ4FTAWYBegGNAZ+BsoHFwdcB5cH0ggZCGsIvAkACTwJfgnNCh8KYgqVCskLDQtaC5ALlQtlCxkK1AqvCrUK4AseC1cLfguXC7gL8gxFDJoM3Az8DP8M8wzqDPYNGQ1HDWgNcg11DZcN7Q5rDuoPSw+PD8kQChBPEIgQqxCtEIYQLw+4D0oPCA7rDrkOMg1ADAcKwQmPCHMHaQaMBgcF9wZQBugHjwgiCJAIzgjgCNMIwAi3CLYIrwiaCHwIXAg/CCAH9wfGB5AHWQceBuAGogZnBi0F8wW1BXgFPQUEBMsEkgRfBDYEFAPxA8YDlANfAycC7AKvAnUCRAIgAgQB6wHRAbUBlwFzAUoBIAD7AOIA0wDJAL8AtQCqAJkAfABQABb/1v+Z/2L/Mf8C/tT+p/6A/mD+RP4q/gz97P3K/ar9j/15/WL9Rf0i/P784fzK/Lb8n/yE/Gn8VfxF/Df8Kvwh/CH8J/wt/DD8L/wp/Bv8Avvg+7n7i/tX+yb7FPtA+6b8FvxL/B/7r/tA+wr7EPsy+1T7cfuS+7X7yfvH+737v/vU++r77/ve+8j7v/vJ+9z77/v7/AD7/vv1++j73fvT+8j7vPuu+6P7m/uW+5T7lvub+577mvuP+4L7dfts+2f7Zftp+3D7dfty+2b7Uvs5+x/7B/r0+un65frh+tz61/rW+tn62vrW+sz6wfq5+rT6svqy+rP6s/qx+qz6q/qu+rH6rvqj+pf6kvqU+pf6mvqe+qn6u/rP+t765Prk+uL63/ra+tT6y/q++q76oPqX+pP6jfp/+mv6W/pU+lH6S/o9+i/6Jvoi+h76FfoJ+f/5+fnz+ez54vnZ+dD5x/m8+a75nvmM+Xr5avld+VL5RPkw+RX4+Pjb+L74n/iA+GP4TPg5+Cj4F/gE9+/32ffE97D3n/eQ94T3ePdo91H3MfcK9uX2yfa29qb2kvZ39lj2OvYj9hL2A/Xv9c/1o/Vu9Tn1CfTh9L/0n/SB9GH0QPQi9Anz9PPg88fzqfOJ82vzUPM38x3zBPLt8tnyw/Kp8ovybvJW8kHyLvIY8gHx6fHS8bzxqfGZ8YvxfvFu8VrxQfEi8QDw4/DO8MXwxfDG8Mbww/C88LHwoPCN8HzwbfBj8FzwV/BW8FbwVvBV8FHwTfBI8ELwOvAz8C/wMPAy8DPwMvAy8DPwOPBB8E/wZPB/8J/wwPDj8QfxJPE18TbxMvE+8W/xyvI+8qny7vMC8vTy2vLD8rDyp/K98w/zoPRF9L703/S09HH0QfQq9B30FfQn9GX0wfUL9R30+fTG9K/0xvUE9Vb1q/X29i72WfaD9rD20vbU9rT2kvaY9tL3KPdv95r3uPfe+Aj4HfgL9933sPeb96H3uffc+AX4K/hF+Fb4cfii+N75A/j0+LX4aPgw+BH39Pe992f3Afae9kb19fWp9Wr1PfUf9Qf07PTN9K70lPSE9ID0ifSh9MX07PUK9Rb1DvT19NX0vPSv9K30qPSS9Gz0RvQz9Dv0VvR19I70oPSs9K/0qfSb9JD0j/SY9KP0qvSs9K30rPSo9KD0mvSa9KH0qPSo9KH0mfSV9JT0kfSF9HT0ZfRe9Fz0WPRK9DL0HPQV9CD0L/Qs9A7z2vOo84rzhfOL847zifOC83/zefNk8zjy/fLH8qnyqvLF8vPzLvNr85bzl/Nf8vvyi/Iv8fHxxvGj8YHxXvEv8OnwkPBC8CLwNvBf8GnwOO/d733vNu8G7uDuvO6j7p/uqu6x7q3upO6l7rbu0u7v7wfvGu8p7zHvMu8x7zfvRu9d73jvku+u78vv6fAI8CrwU/CC8LXw5fEN8S3xRfFY8WvxgvGe8b3x3fH/8ifyV/KM8r7y7PMb81DzivO+8+Hz9vQK9Cr0WPSI9K/0zPTm9Qj1MfVZ9Xj1kvW09eb2J/Zp9qT21/cL90j3i/fO+A74UPiZ+Ob5Lflm+Zz54/pH+sH7OPuV+9f8DvxK/JL84P0y/Yn94v42/nr+rf7a/xL/Xv+5ABkAdADNASkBiQHnAj8CkQLfAy8DggPXBC0EggTUBScFegXRBisGiQbpB0wHrwgOCGcIugkKCVoJqwn7CkgKlgroCzwLjwvgDDEMhgzdDS4Ndw28DgcOXg65DxIPYg+vD/sQRRCHEL8Q9BErEWgRohHTEfcSEBIiEi4SNxJAEk0SYBJ3Eo4SoRKwErkSvxLGEs0S1RLaEtsS3BLfEuYS7RLyEvUS9xL2Eu0S2BK+EqkSphKxEsMSzxLQEsQSqRJ/Ek0SHhH3EdQRqxF5EUQRGhEAEPEQ4RDLEK8QjhBrEEkQLRAeEBwQJxA4EE4QaxCMELMQ4REaEVwRnhHYEggSORJ4EsAS/xMdEw4S1RKCEikR4BG6Eb0R3RICEhwSLRJCElgSVBIYEaIRGBCzEJMQrhDdEQMRHRFAEXwRxxIAEgERvBFGEMgQbhBFED4QQhBDEEcQVhBuEIMQkRCpEOQRSxHIEjQScxKKEpISnRKrEq8SnhKAEmISUBJMElISYBJzEu8S5BLLErASnxKgEqkSqRKPEl0SIBHlEbIRfhE+EPIQpxBuEE0QQBA/EEYQVRBtEIYQmBChEKQQphCnEKIQmRCOEIQQdxBcEC8P8g+wD28POQ8VDwgPEQ8iDy0PLA8nDyQPIA8ODucOrw53DkoOKg4XDhkONA5aDmkOOQ28DQoMVgvHC20LOwshCxULFgsgCykLIAr4Cq4KRgnKCUIItAghB4kG7gZSBbgFJQScBCoD5gPsBFAFDgYLByAIJwkNCcoKYArOCxQLMgssCwYKvwpYCdMJPgitCCwHtQcnBlwFTwQ0A2cDOAOoBF8E4gTkBH8EEAPtBCYElQUUBaoGcwd2CIIJWAnTCgEKCQoDCfEJ0AmkCXIJOQj5CMcIygkcCasKPAqUCqQKhApZCjEKCgnfCbMJjAlqCUcJIAj3CMYIiAg/B/UHtweFB04HAwamBkUF7gWkBV8FHQThBLAEhwRiBEcEPQRIBGMEiAS3BPQFOgWABbEFwQWsBXoFNgTxBLMEfwRQBB4D5AOcAzsCvQI1AcEBfQFlAVkBPAEJANgAuQChAHYAKf/I/2r/Fv7B/lz96v2B/TH8+fzJ/I/8Rfv0+6v7efte+1L7Sfs1+xL64vqq+nL6QfoX+ez5ufl4+S/44fiJ+Bn3kvcH9pH2PfX/9cT1ivVc9UX1QPVE9VL1cvWd9b71v/Wr9Z/1r/XE9bf1fPU59SX1TfWE9Yb1NPSg9ADzg/NE80/zn/Qi9Lf1OPWI9Zj1X/Ts9GX0BfP09Cr0dfSi9Kb0m/SV9I30bfQ69Bf0KvRt9Ln07vUV9Vf10/Z49xn3i/fA98H3mvdZ9xP24fbV9ub27vbG9mL14PVr9SP1BPTy9ND0lfRN9A3z3/O+853zePNP8yjzAPLT8pzyY/Ix8g7x+fHr8d3xyPGs8YnxYvE+8SPxD/D88ObwzPCx8JPwcvBK8CPwBe/w79zvwu+i74fvd+9r71fvOO8V7v3u8u7w7u7u6u7h7s/ur+6G7mPuVe5e7nPuiO6a7qzuvO7B7rTul+537mLuYe567qvu7u8u71XvVu8x7vTusu6C7nnuo+75713vqe/L78vvv++x753vgO9n72fvjO/H8ADwJ/BF8HHwt/ER8WvxsfHb8erx6PHh8efyCPJI8p/y+fNG83/zsPPm9Cj0cPSy9OT1DPU59X314/Zp9vv3hff5+F34ufkP+VL5cPlp+VT5UPlv+a35+/pT+rX7H/uK+/D8V/zO/Vn97f5z/uH/O/+Q/+sASACjAPUBOwFyAZ0BygIJAl8CwwMjA3QDuwQCBEwElATUBRMFWAWmBfYGRAaQBtwHKAduB64H7QgzCH8IxgkFCUYJlAnwCkkKjwrCCvMLMQtzC50LnAtwCzIK/grrCwALNgt5C7QL2gvxDA0MPgyBDMYM+w0aDScNLA01DUsNbw2WDbENtw22DcoOAw5aDrcPCw9aD68QCRBdEJwQvRC4EH0QBg9lDssOYQ4lDeINWAxwC0MKAwjPB7gGzwYzBgIGPAbBB2EH+gh9CN8JGAkjCQ4I7gjTCL4IpwiJCGkITQg0CBkH9gfOB6AHbAcsBucGowZpBjQF/gXBBYEFQwUIBM0EkgRcBDAEDgPsA8MDlQNiAy4C9QK4An4CTQIpAg4B+AHiAcwBsgGRAWgBOwEUAPgA5ADTAL4ApgCMAHMAVwAxAAH/yP+P/13/M/8N/uf+wP6Z/nb+VP4z/g796f3G/ar9lP1//WX9Qv0X/Oz8yvy0/KH8i/xu/FT8Qvw3/C38H/wV/Bj8JPww/C/8I/wV/Ar7/Pvk+737jPtb+0L7YfvQ/IH9K/1z/Sb8afuf+yP7C/sw+177gPuf+8T74fvq+9770/vW++X77/vq+9z70/vY++n7/vwR/Bv8GfwL+/n76vvj+9371fvH+7j7rvup+6n7q/ut+6z7qvun+6b7pvuh+5b7ivuG+4r7j/uK+3X7Vvs1+xj7BPr3+u/66vrk+t362PrW+tb61PrN+sP6vPq4+rb6tfq2+rr6vvq8+rb6svq0+rn6uPqv+qT6ofqk+qn6qfqq+rH6wfrT+t/65Prk+uL63vrW+sz6wvq3+qz6ovqd+pv6lfqH+nL6YfpZ+lf6UvpF+jb6LPoo+iL6GfoM+gD5+Pnx+ef53PnS+cv5xPm6+a35n/mQ+YH5c/ln+Vv5Tfk6+SL5Bvjo+Mr4rPiO+HP4W/hH+DX4JPgQ9/j33vfF97H3oPeS94L3cvdg90r3L/cO9u/21PbA9qv2k/Z29lf2PPYm9hX2BPXu9c31nvVo9TL1BvTl9Mz0tPSb9H/0X/RA9CP0CvP089zzv/Og84LzZ/NP8zfzHvMH8vDy1/K78p/yh/Jy8l/ySfIy8hryAvHp8c7xtfGg8ZHxg/Fy8VvxQPEg8P/w4/DP8MbwxPDE8MDwuPCr8JzwifB18GTwWPBS8FDwUPBR8FLwUvBO8EnwQ/A88DXwLvAn8CPwIvAi8CDwHfAc8B7wI/Ar8DjwTfBp8IfwpfDD8OHw/fEO8RDxB/EG8SDxYfHB8ijyffK18s7y0PK+8pnycvJq8qjzMPPV9FH0dvRQ9BXz8/Pu8+/z6/Py9B70avSw9Mr0uPSb9Jj0uvT19Tf1e/W99fr2M/Zp9qD2zPbb9sT2m/aE9pr21/cg91z3g/eg97j3yvfS9873xPe697X3uvfL9+P3+vgN+Cb4UviS+M344fi9+HH4Hfff97j3lvdp9yz24faP9jj14PWR9VT1L/Ud9RP1BvTx9Nf0vvSq9KD0pPS29NT09fUP9Rz1G/UO9Pn04vTO9Lz0qPSJ9GH0O/Qk9CH0L/RF9Fz0c/SF9I30iPR+9H30i/Sh9LP0vPS+9L/0wPS99LX0svS79Mr00/TK9LT0nvSV9Jn0nvSc9JT0kPSS9JT0jPR29Fn0QvQ79Dz0MfQN89bzpPOR86Lzx/Pn8/Dz5PPK86jzffNG8xDy6/Li8vTzFfM6817zgfOc85zzc/Mg8rfyVPIH8c/xovF78VrxOPEJ8MbwePA88CvwQfBY8EjwBu+q71PvE+7h7rLuhu5o7l/uZu5t7m/uce587pLure7I7uHu9+8I7w7vCu8E7wfvGO8z71Pvcu+Q767vy+/s8BPwQfBz8KXw0/D68RzxOPFO8WLxd/GS8a/xyvHm8gjyNfJq8qDyz/L58yfzXvOX88fz5/P89BH0K/RI9GL0fPSe9M31AfUu9Uv1XvV39aX16PYy9nT2q/bh9xv3XPeb99j4Gfhk+Lj5BPk++Wz5pPn7+nT69vto+7z79/wp/F38lfzV/SH9eP3T/iT+ZP6d/t7/NP+bAAYAZwC7AQoBWgGwAgkCYgK4AwsDXQOwBAMEVwSrBP8FVgWyBhMGdgbZBzoHlgfvCEMIkwjkCTYJigndCi8KgwrYCy4LgQvRDCEMdAzHDRcNXw2mDfIORQ6ZDucPMA95D8YQFBBYEJEQwxD6ETYRbxGcEbkRyRHVEd4R6RH0EgMSFxIuEkQSVRJfEmcScBKAEpUSqRK0ErISqhKkEqcSrRKvEqkSoBKWEowSfBJkEk0SQBJAEkYSSxJEEjMSGRH3EdMRshGVEXoRWBEsEPkQyhCnEI8QfhBsEFgQQBAoEBMQBxAGEBAQIhA6EFkQfxCoENURBxFCEYIRwhH6EiwSYhKfEtYS8RLhEqcSVBH8EbARexFpEXcRlxGzEb0RvBG4EbIRmBFfERAQzRCwELwQ1xDoEOkQ6RD4ERkROxFGESYQ2hBwEAoPxg+vD7kPzQ/gD/YQGhBHEG8QiRClEOARSBHKEj8SixKwEsQS2RLrEu8S4RLNEsASwRLMEtgS5BLtEzQTEBLfEq4SkRKOEpgSlBJzEjQR6RGlEW8RPxEGEMAQcxAoD+cPsQ+KD30Pkg/HEAkQPRBXEFoQVBBOEEsQRhA9EDAQGg/3D8MPgw9BDwgO4A7KDscO0g7eDuIO3Q7YDtkO3g7XDrkOhg5MDhkN8Q3WDckNzw3kDfUN5Q2eDSUMlAwNC6ULYAs2CyELHAshCyQLFAroCp8KQgnaCWgI6QhbB8IHJgaPBfwFaATRBEEDzQOVA7AEJgTsBekG+gf/CN4JiAn7Cj4KWwpYCi8J2AlRCKUH7QdDBrYGPQW9BRkESQNxAtQCrAL8A4cD7QP1A6oDUwMyA1oDuAQ5BO0F7wc2CIYJkAopCmIKaApeCkgKHQnaCYMJHgi5CHUIfQjpCZgKPwqbCpwKaQoxCgcJ4gm3CYcJXgk/CSMJAgjWCJ0IVQgFB7gHdwc/BwIGtQZcBgQFtAVmBRIEugRpBCUD6gO0A4sDfgOPA7MD2wQGBEAEjwTqBTgFZAVpBU4FIwTzBMAEigROBA0DzgOSA00C8QJ5AfUBfgEiAN4ApwB8AGQAYQBcADf/5P9y/v7+nf5M/f79rf1h/R/86Pyy/HH8JPvU+5H7aPtY+1D7P/sc+u36u/qL+l/6OPoX+fr52vmt+XD5IvjA+Er3xvdK9ub2nPZf9iH15PW49ab1qfW69d72GvZh9pX2ofaU9pH2q/bI9r72h/ZN9kH2YfZ39kz11vU/9Lv0YvQy9Cf0Q/SI9OL1NfVh9VT1BfSE8/vzofOd8+H0NPRi9GX0YPRr9H30ePRV9Dn0T/Sb9PP1LfVH9Wf1tvY29sn3Tfet9+X38ffT95j3YPdL91r3bvde9xP2ofYz9e712fXc9c/1mfU89Mr0WvP686nzZPMq8v3y3fLC8qPyfPJQ8inyDfH88e7x3PHD8aHxffFb8T7xJvEO8PTw2vC/8KLwgvBh8ELwK/AY8ADv3++876Pvme+S73/vYe9D7zLvLu8p7xzvC+7+7vju8u7o7uDu5O7z7wTvDu8X7ybvPe9P71HvRe837zPvOO9D71bvdO+Z77jvwO+r737vR+8a7wzvK+9379XwI/BK8E/wQ/A08CLwBu/p79vv6/AT8DzwVvBl8HrwqfD18VLxpvHg8fbx8vHj8d/x9PIp8nfyzvMg82Hzk/PB8/X0MfRv9KT00vUH9Vr11vZx9wv3iffi+CX4aPis+OT5APkE+Qb5IPlY+aP59/pT+rv7KvuU+/X8WPzN/Vn97P5v/tr/Nv+Q/+0ASwCmAPwBRAF3AZUBrgHdAjECoAMSA3IDvgQCBEgEkATXBR4FaQW5BgwGXQatBvsHRgeMB80IDQhQCJMI0QkOCVQJrQoTCnMKvArvCxoLRwtzC40LigtvC08LOwtAC14LkAvJC/sMHgw5DFkMiAzGDQUNOw1lDYMNmQ2sDcAN2g30DgUOBQ39Df0ODA4sDloOng8CD4QQCBBuEKUQrxCTEEoPyg8gDnMN7Q2QDTMMnwu5Co4JQwf/BuYGIAXOBfoGhAczB9cIWgi+CQgJNglBCTAJDwjqCMQIngh5CFwIRggxCBcH9gfRB6gHdQc0BusGpgZtBjwGCAXNBY0FUQUZBN8EoQRmBDIECAPiA7oDjwNjAzQC/wLFAowCXAI6AiECDAH1Ad0BwgGhAXsBUgEsAQ0A8wDYALkAlABuAEoAKQAI/+L/tv+H/13/PP8g/wT+4/69/pb+bP5A/hP96f3H/av9k/14/Vf9Lfz+/NH8sPyc/I78e/xh/Ef8OPw0/DD8Jvwe/CD8Lfw4/DP8IfwO/AL79vvc+7H7fPtR+0r7ifwq/R3+FP6Y/lb9Yvw0+1L6/PsT+1D7hfut+9T7+fwK/AH77vvk++f78Pvx++v75/vu+//8Fvwq/DP8L/wf/Av7+/v0++/75/va+837xPvB+8H7wvvD+8L7wPvB+8b7zPvM+8T7uvu2+7n7uPun+4P7Vfsr+w/7APr5+vX68Prp+uL63/re+t762frQ+sn6x/rJ+sf6wPq7+rz6wPrC+r/6vPq++sL6w/q7+rL6rvqx+rT6tPqz+rj6xPrR+tf61/rX+tj61/rR+sj6v/q4+rD6qPqi+p/6mvqP+n36bfpk+mH6XfpT+kb6Pfo2+i76IfoS+gX5/fn0+ej52vnP+cf5wPm2+av5oPmV+Yr5fflw+WP5VflG+TL5Gfj8+N34v/ij+Ij4bfhU+D34KvgW9//35PfJ97L3ofeQ93/3bPda90b3L/cU9vr24vbM9rP2lfZ09lb2PvYq9hb2AfXn9cb1m/Vp9Tj1EfT29OD0zPS19Jr0e/Rb9Dv0HvQD8+rzzvOx85TzefNg80jzMfMd8wjy7/LT8rfynvKJ8nPyWvJC8izyFvH98d/xwfGo8ZbxhvFx8VbxOPEY8Prw4PDO8MbwxPDB8Lnwq/CZ8IXwcvBh8FPwSvBI8EnwTPBO8E7wS/BE8DzwNfAv8CrwJPAe8BnwFvAT8A/wC/AL8A3wEvAa8CbwO/BU8G7whfCb8LPwzPDd8N7w0/DJ8NXxBPFT8bLyEPJe8pjyufK68pzybfJT8nXy4vN08+v0GPQA89XzwvPM89jz1PPO8+b0I/Ro9I/0jPR49HX0lPTL9Qv1TPWL9cj2AfY69nb2sfbZ9tr2uPaN9nz2l/bQ9wz3NfdI91L3ZPeE96r3yvfY99f3z/fI98P3wPfK9+34Lvh2+KP4nPhi+BD3w/eH91j3LvcG9t32sfZ49jL15PWa9WL1QPUz9TL1M/Uu9R71CPTy9OX05PTt9Pr1A/UK9RH1GvUj9ST1GfT/9Nv0sPSC9FP0KfQL8/nz8vP19AL0F/Qt9Dr0PPQ99Ev0a/SR9K70vPTD9Mr00fTS9Mz0y/TU9OP05/TZ9L70qfSk9K30tfS19LL0tfS99MH0tfSY9Hb0W/RK9Df0FPPh87LzoPO48+/0JvRC9Dv0GvPq86/zafMl8vfy8vMU80jzdvOR85/zpfOe83vzNvLa8n7yMPHz8bzxiPFa8TXxE/Dn8Kvwb/BL8EjwVfBN8Brvw+9j7xbu3+6x7oLuVe407ifuKO4u7jfuQ+5W7m7uhu6e7rbuzO7a7t3u1+7T7tju6u8E7yLvQu9k74bvqu/Q7/vwK/Bd8IzwtvDd8QPxJvFC8Vnxb/GJ8abxwfHb8fnyIfJT8ofytvLg8wvzPvN186fzzPPk8/b0BvQY9C30RvRr9Jv00fT/9R/1NvVQ9Xr1tfX49jn2dPas9un3KPdm96H34fgt+IP41vkW+UL5b/mz+hn6k/sI+2b7qvvf/A/8P/x2/Lf9Cf1p/cz+J/56/tD/Mf+dAAkAZwCxAO8BLgF4AdACMAKPAukDPQOOA+AEMwSGBNsFNAWSBfUGWQa4BxQHbAfCCBgIbAi/CREJYwm2CgoKYgq8CxgLcQvFDBMMYQyvDP0NSg2XDeYONA58Dr8O/g9DD44P2hAdEFUQiRDBEPsRLxFTEWURcBF9EY4RohGzEcERzxHeEe4R/BIHEg8SGBIpEkISXRJvEnISahJlEmoScxJyEmESRBIrEhsSEhIFEe8R2hHNEckRxRG3EZ0RfRFfEUURMBEdEQoQ8hDUELEQixBnEEcQLhAaEAsQAA/6D/sQAxARECIQNhBPEHAQmRDJEPwRNRFzEbcR+RI0EmoSoBLREu8S5xK2EmgSEhHGEY4RdBF/EawR4xIKEhISBBHwEdsRuRGEEUkRIBEWESERJxEYEP0Q5BDUEMcQsxCVEGwQOA/5D7sPjQ9+D4kPng+4D90QGBBmELAQ5xEREUkRohIUEn0SxhLuEwQTFRMhEyATFhMRExoTLxNCE0wTTRNGE1ATLxMFEt4SxhK/ErkSoRJqEh0RyhGBEUoRHxD0EL0QdRAeD7sPVA75DsIOvw7uDzUPdQ+ZD6YPrA+4D8YPzA/ED60PjA9hDzAO/g7TDrMOng6SDo4Ojg6QDo8Oig6HDooOkA6ODncOTA4VDeANtQ2TDXwNcg12DYQNiQ1yDTIMzwxdC/MLngthCzoLJwsfCxcLAQrVCpUKSQn2CZoJLgisCBoHgAbmBk8FuAUiBJEEDwOtA4EDngQSBNkF2QbmB9EIfQjoCSMJQwlICSQIwQgfB1QGhQXRBUEEyQRUA9EDRALBAm0CYQKbAvcDQANOAyYC6wLJAtYDFwOSBGAFlQceCLMJ+wrACwkLAArOCoIKHAmhCR4Iogg+CBEIPAjFCYQKKgp6Cm4KNwoICe4J1gmrCXIJPAkTCPIIzAiaCFsIEQfCB3YHMwb0Bq4GWgYBBawFXAUHBKYEQwPrA6MDYAMcAuYC0QLjAwwDNwNhA5oD7gRTBKwE5AT5BPUE5wTRBLAEgQREA/0DtwN6A0IC/wKgAiMBmAESAJ8AP//3/8j/sP+a/2z/Gv6w/kf98v2z/X/9S/0V/OH8svyE/E/8D/vJ+4/7bftf+1H7Lvr1+rX6fvpS+iv6Bfnn+df5zfm3+YH5Jviw+DD3u/dh9yX2/fbY9qv2fvZc9k32S/ZW9nj2tPb69yj3K/cV9wz3H/c09yn2/fbW9tb28Pbt9qb2KPWl9Ub1CvTY9KT0evRq9HX0ifSN9Gr0FPOU8w/yu/K58vnzRfNz84fzpfPh9CH0OPQf9AT0JPSL9Qv1ZfWD9YX1oPXw9mr27/dj97X33vfd9733lfd993n3efdj9yj20fZ59jr2HPYQ9fr1xfVt9P/0k/Q08+bzofNi8yzzAvLi8sbyo/J48kvyJfIJ8fTx4PHI8a7xk/F48VzxPfEc8Pzw3/DG8KzwkvB38F/wSvA18Bbv8O/O77vvuO+376nvj+9372vvZ+9c70HvI+8Q7w/vF+8f7yfvN+9K71fvV+9T71fvaO9674LvgO+D75Lvp++678jv2+/38BXwJvAe8ADv2u+777Xv1PAX8GjwrPDO8M/wwfCy8KLwjfBz8F/wXPBq8HzwhfCD8ILwmPDQ8SXxhPHP8fTx9vHn8d7x6/IV8lfypfLx8y7zV/Nz85PzxPQE9Er0kvTl9VL14faA9xD3dvex99j4BPg7+G74kPik+L/48fk8+ZL57fpP+r37L/ua+/v8YPzV/Vz95P5e/sf/Kf+L/+0ATAClAPsBRwF+AZ4BtwHmAjkCqgMfA4IDzgQQBFMEnATnBTQFhAXXBi0GgwbXByUHbAerB+cIIwhjCKQI4gkjCW8JygouCosK1AsGCyoLSgtjC3ILdAtxC3ELfQuTC7IL1wv+DCMMRgxqDJcMzw0QDVINjQ2+DeIN+w4MDhoOKQ41DjoONQ4sDiQOHQ4YDiAOTw65D1AP5xBNEHAQXhAyD+4PiA77DloNww0/DLUL/gsCCcYIaAcXBgoFdgV3BfwGywecCDwIpgjnCRMJLgk2CS4JFwj1CMwIoAh6CGEIUQg/CCQIAAfWB6oHdAczBuwGrAZ5Bk0GHQXiBaQFagUzBPoEugR4BDsECAPdA7MDigNhAzcDCALSAp0CbgJMAjICHQIFAekBywGqAYkBZwFFASEA/QDYALIAiQBdADEACv/p/8r/qf+F/2T/Sf80/x3/AP7b/rH+gv5O/hv97f3I/aj9hv1g/Tb9Cvzf/Lj8m/yL/IL8dvxh/En8O/w4/Dn8NPwt/C38Nvw+/Dn8KPwW/Aj79vvT+6L7cPtM+0f7ffwV/Rj+R/8c/xr+LfzG+4769/r6+0j7lfvH++r8CPwZ/Bf8CPv8+/n7+vv2+/D78fwA/Bj8MfxC/EX8Pfwu/B78EfwJ/AL7+fvv++j75fvj++D73fvd+9773/vh++T76/vz+/n7+/v5+/P74Pu8+4r7Vvsu+xj7DvsL+wj7Avr6+vP68Prw+u/66frf+tn62vre+tv6zvrB+rz6wPrG+sj6x/rI+sz6zvrJ+sH6vvrA+sT6w/rD+sf6z/rW+tb60vrR+tP61vrU+s76yPrC+rr6r/qm+qD6nPqT+oX6d/pt+mj6Y/pa+lD6R/pA+jb6J/oY+gz6BPn6+e353vnR+cj5vvm0+ar5ovmc+ZT5iPl5+Wr5XPlP+T/5KfkN+O/40vi5+KD4hfho+Ev4NPgg+Ar38ffV97z3pveS9373a/dZ90f3Mvca9wP28Pbe9sT2ovZ+9mD2SvY29h72AvXl9cX1oPV29U31LPUU9P/05/TN9K/0kPRw9E/0LvQQ8/Xz2vO/86Pzh/Ns81PzP/Mu8x3zB/Ls8s7ytPKc8oPyaPJQ8j3yKvIS8fLx0PGz8Z3xiPFs8UvxKvEM8PLw3fDN8MXww/C+8LLwoPCK8HbwZPBV8EvwRvBG8EjwSvBK8EjwQfA28CvwIvAd8BrwFvAQ8ArwBfAC7//v/O/87//wA/AK8BbwKfA/8FTwY/Bz8IfwoPCz8LfwrPCf8KbwzfET8WvxxfIV8lfyifKq8rTyq/Kh8rXy9vNY863z0fPC86LzmfOr88DzwPO087zz7PQw9GH0afRU9EX0VfSG9Mz1FvVa9ZX1xfXy9ir2bfat9tD2x/af9nf2bfaF9q72zfbd9uf3Afc093b3tPfb9+n34ffJ96f3iveK97j4CPhR+Gv4R/f996/3b/c79wn21/aw9pb2f/Zc9in16/Ww9X/1XPVI9UT1SPVJ9T/1LPUb9Rj1JPUz9Tn1MfUg9Rf1H/U39U71U/U89Qz0zPSH9Eb0DvPh87/zp/Oa857zsvPP8+rz/fQR9DH0YPSP9LH0wfTL9Nj05vTt9Or05PTl9Oj05fTV9ML0uvTB9Mz00fTO9Mz00vTZ9NT0vvSb9Hj0XvRH9Cfz/PPR87zz0PQF9EL0ZvRg9Dj0AfPH84rzSPMQ8vjzDfNE837zofOo86HzkvN280Dy8fKb8lDyFfHe8aHxYvEu8Qrw7PDI8JvwdfBk8GHwU/Af78XvXO8B7sPume5z7knuIe4F7fjt+e4C7hHuIu417kXuVe5o7n3uku6f7qTupu6q7rXuxe7Y7u/vDu80713vhu+v79nwCPA48GbwkfC68OLxCfEo8ULxWfF08ZPxs/HR8fHyGPJH8nnyqvLZ8wXzMvNf84jzqvPG893z8fQE9Bf0LfRK9G30l/TC9O31FvU99Wj1l/XK9gH2OvZ29rT28/cx9233rPf2+Er4n/jn+Rz5SPl/+c76MPqW+vD7PPuB+8f8DvxV/Jv85v09/aD+CP5s/s7/MP+X//oATwCSAMgBAQFIAaICBwJsAssDIgNzA8QEFQRoBL0FFgVzBdIGLgaGBt0HNQeQB+wIRgicCO8JQgmTCeUKOgqUCvMLUgusC/0MSQyVDOUNOg2QDeMOLg5vDqoO5Q8lD2gPqA/gEBIQQxB3EKoQ1BDtEPoRBhEaETcRVhFtEXsRgxGLEZYRpRGwEbURtRG5EcoR5hIBEhASEhIUEiASMhI3EiAR9RHJEa8RpBGYEYERYRFHETsRNREqERQQ+RDgEM0QvBCqEJcQhhB2EGYQTxAxEBAP8g/eD9YP2A/kD/YQDBAjEDcQTBBkEIQQrhDgERoRXRGqEfsSRhKDErIS1RLqEuYSxBKIEkQSBRHUEbMRqxHLEg4SXRKVEqQSlhJ/EmUSOxH3EaYRZBFBETcRLBETEO8QyRCgEHEQPxAXEAEP9Q/hD8APnQ+KD4oPlg+oD8oQDRBuENURLBFyEbsSGRKEEuETHhM6E0UTSxNME0YTQBNHE14TeROIE4YTeBNmE14TSRMvExYTAxLwEtESnBJTEgERsRFtETgRDRDmELYQcxAVD6APHA6cDjgOAg39DhgOPA5aDnQOlA6/DuoPBQ8HDvEOzw6qDokOcg5nDmUOZA5eDlIORQ48DjcONQ40DjYONw40DiMOAA3RDaANdA1TDTsNLg0uDT0NUA1UDTYM8QyPDCULxwt9C0kLKQsWCwUK7ArDCo0KUQoRCccJbgkACIAH8gdZBrsGIAWOBQkEjQQXA7UDgQOcBBcE3wXEBpAHIAd1B6cHywfbB7kHTAaWBb4E8QRLA80DYQL3Ao4CNgH+AfACBwI3AnACnwKzAqkCjgJ4AoACuQM2BAoFPwbDCFgJrwqNCucK2AqHCg8JfgjiCFEH3QeZB5wH+AimCXMKFQpYCkUKEwnzCesJ3QmuCWYJGgjcCKkIdAg4B/gHtAdtBycG4gacBk4F9QWbBUYE8wSYBC4DwwNnAxoCzAJ5AjACDgIeAk0CggK7AwQDZgPQBCQEUwRkBGwEcgRzBGQERQQYA+ADogNiAyMC3wKHAhcBkgEGAIEADP+t/2f/OP8R/t7+k/42/dn9jP1R/SL89PzD/Jb8cfxS/DH8A/vK+5j7evts+1f7Jfrc+pP6XPoy+gX5zvme+Yv5kvmU+W35D/iN+Ar3qfd192T3Yvdd90/3Pfcv9yP3FfcM9xf3Pfds94b3evdb90n3UPdb9073LfcV9xv3Lfce9tr2cvYR9cj1h/U09MT0SfPd84zzVPMo8vHynvIp8a7xXPFQ8X/xv/Hy8iXyevLz82XzmvOO83rzqvQz9OX1bvWl9aD1mvXC9iD2l/cF91P3gPeS95b3kfeG93H3Tfcb9tv2lfZT9hz19PXW9bX1hfVC9PT0pvRi9CXz6vOu83LzPvMV8vPy0fKq8oHyWvI48hrx/PHe8cLxqfGP8XLxUPEv8RDw+PDh8MrwsPCW8H/wa/BV8DfwE+/z7+Lv4O/h79fvwu+r753vk++C72XvSO867z/vTO9V71zvae9674fvh+9/737viu+Y75/voO+o77/v3+/78BLwLPBR8HvwmPCe8I/wdvBk8GXwgvC28PPxIvE28TDxH/ES8QvxBPD38Ofw2PDP8Mnwv/Cr8JXwkPCv8PjxV/Gr8drx4/HX8dLx3/IA8i7yZPKa8sjy6vMF8ynzYfOw9A/0dvTn9Wj1+faI9vr3Qfdn94P3rffm+B/4Sfhq+JX41vkr+Yr57PpV+sX7Nvuh/AT8a/zd/Vr91P5E/qz/Ff9+/+QAQgCbAPMBRAGGAbcB4wIeAnMC2gM/A5cD4AQjBGoEtgUGBVkFrAYBBlgGrwcCB0sHiQe/B/IIKwhqCLAI+AlCCZAJ5Ao6CooKzAr/CyMLPwtUC2ULcguCC5cLsgvPC+oMAwweDD4MZQyTDMgNBA1DDYANtA3bDfUOBw4WDiUOMQ42DjMOMw4+Dk8OWQ5RDkYOWQ6lDyEPng/rD/gP3Q+5D5UPYQ8GDoIN4Q0uDGELbApACOIHcAYjBT0E9QVTBigHJAf+CJQI6wkbCTUJQglCCTkJJgkKCOMIuAiSCHgIZghQCDAIBQfVB6EHaAcnBuUGrAaCBl4GNQYBBcYFiwVTBRcE1ASNBEoEEQPiA7YDiwNhAzcDDALeAq4CgAJbAj4CJgIOAfMB1AG1AZkBfgFeATUBBgDZALMAjgBlADgAC//n/8v/sf+U/3f/X/9K/zP/Fv7w/sX+k/5d/iX99P3K/aP9eP1I/Rn88PzN/K38lPyG/IH8e/xs/Fj8SfxG/Eb8Qvw7/Dn8PvxD/D38MPwi/BP7+fvO+5z7dfte+1H7X/u4/I39wP7Q/x7+av0M+7v7CPsI+2f7xfv5/A78Gvwk/CX8IPwd/Bv8E/wD+/T79vwN/C78S/xY/Fb8TPxA/DX8Lfwl/Bv8EfwK/Ar8DPwL/AT7+/v6+//8BfwH/Af8DPwc/DD8P/w6/B/77/u2+4D7V/tA+zT7Lfso+yL7HPsT+wr7A/sA+v/6+/rx+un65vro+ub62/rN+sb6y/rS+tX61PrT+tb62frY+tT60/rW+tr62vrZ+tv64Prk+uL63vrd+uD65Prk+uD62vrT+sn6u/qv+qj6pfqd+pD6gPp1+m36Zvpd+lL6SvpC+jf6KPoa+hD6CfoA+fT55vnZ+c75w/m4+a75qfml+Z/5lPmF+XT5ZflY+Un5Nvkc+P744fjK+LX4nfh/+GD4Rfgw+Bz4BPfp9833s/ea94L3bvdc90r3NPcd9wn2/Pbv9tr2uPaR9nL2WvZE9in2CvXp9cr1qfWF9WP1R/Ux9Rz1AfTh9L/0nvR+9F70PvQg9ATz6fPN87LzlvN682DzS/M88y7zGvMA8uTyy/K08pzyg/Js8ljyRfIq8gjx5fHH8a3xkfFt8UXxIvEG8PDw3vDQ8MfwwvC58KrwlfCA8G3wXfBQ8EjwRfBF8EbwRPBA8DrwMvAm8BrwD/AJ8AXwAe/77/bv8+/y7/Hv8e/y7/Tv9+/88AbwFvAq8DvwR/BS8GPwevCP8Jbwj/CF8IrwrfDt8T7xkPHW8g/yRPJ+8r3y9PMa8zPzTfNx85LznfOL83DzavOD86PzsPOl85/zufPw9CP0NPQj9A30EvQ89IL00vUc9Vj1hfWr9df2FfZd9pr2tPan9oP2ZfZb9mP2c/aD9pj2v/b890b3jffB99v32fe694j3Xfdc95X37/g2+ED4Cve49273OPcJ9tb2pvaG9nb2ZvZG9hf15PW29Yz1ZPVB9Sv1IvUc9RD0//T39Qf1LvVZ9XP1cPVa9UT1QvVW9XP1gvV19Ub0/PSh9EPz7fOp83nzXfNS81zzefOl89Pz/fQl9FT0ifS49NX03/Tl9O/0/vUG9QP0+vTz9O305PTY9M/00vTd9Ob05/Tm9Oz09fTz9Nv0sfSE9GX0U/RB9CTz/vPi8+P0BvQ79GL0YfQ18/TztvOG817zOPMa8xfzNfNn85HzoPOX84PzafNB8wDyr/Jh8iTx8fG58XXxMvD/8OLwzvC28Jvwh/B68GLwJ+/C70ru4O6Z7nHuVe407g7t6u3T7cvt0e3g7fTuBe4P7hPuF+4i7jPuR+5Y7mfudu6G7pbuou6u7sHu4O8K7zfvYO+G763v2vAM8D/wb/Cc8MXw6vEJ8STxP/Fb8XvxnPG+8eLyCvI28mjynPLQ8wDzKfNL82jzh/On88bz4PP29Ar0HfQv9EL0W/SB9LX08vUt9Vz1gvWl9dD2BfZC9oH2wPb+9z33fvfG+BT4Zfix+PL5KPlf+aD57vpA+o/63Psy+5f8CPxy/Mr9Ef1U/aL9/P5b/rb/D/9n/74ADwBVAJQA1wEmAYUB7AJRAq4DBANWA6YD9wRKBKEE+wVWBa8GBAZXBqwHBQdjB8EIHQh2CM4JJgl7CcwKHQpxCswLLAuKC+EMMAyADNQNLw2LDeAOKg5pDqQO3g8YD04PfQ+kD8oP8hAeEEcQZxB6EIgQmBCxENMQ9hESESQRLRE1EUMRVBFjEWURWxFQEVMRaxGMEagRthHAEdAR5xHyEeARshF8EVQRPhEpEQgQ3RC3EKMQnRCaEJEQgxB1EGgQWBBEEC4QHRAUEA8QBQ/yD9kPww+3D7gPxA/XD+4QBxAgEDoQVRBxEJEQtRDiER4RbhHPEjUSihLBEtkS2hLKEqsSfRJKEiESBxH0EeQR3xH2Ei8SdRKnErQSqBKYEoQSVxIDEZYRNhD+EOwQ4xDOEKgQdxBAEAgP2w/HD88P4Q/lD9IPtQ+jD58Png+dD6wP3BA0EJ8RCxFzEeYSZxLkE0ETcBN+E38TghOEE4ITghONE6ITtBOzE6AThhNwE2oTUBMxExQS+BLYEqkSaRIgEdgRlxFcEScQ+BDJEJEQRg/iD2oO5Q5fDeINfA00DQwM/w0FDR8NTA2JDcYN8w4IDggN/A3vDegN6w35DgwOGQ4YDgkN9A3kDdwN3A3dDdwN2Q3TDccNrw2LDWENOg0cDQoNBA0KDRwNMg07DSQM5gyKDCQLxwt7C0QLIAsICvUK3Aq3CogKVAodCd8Jlgk/CNoIZAfZB0AGpgYbBaAFKwSvBC4DwgORA7QEIwS4BUMFpwXnBhYGQAZSBigFrQTuBBoDYgLaAncCHgHDAXEBQQFAAWcBnwHUAf8CIgI+AkwCSwJLAmYCsAM1A/IE5wYJBz4IVgkfCX8JgAk/CNkIYQflB3QHIgcIBz8H0gitCZMKOQpzClUKHAn4CesJ0gmUCTcI2AiHCEUIBQfHB4sHUgcWBtQGjAY+BegFjAUyBN8EjgQxA8IDUALrApECMwHMAXABQgFQAYcBzgIfAoQC+QNmA6oDwAO/A8QD1APhA98D0AO7A6IDfQNGAv4CrgJXAfQBggEDAIAABf+h/1r/Lv8N/t/+l/46/df9gf08/QT80fyh/HX8VPw7/CH7+vvI+5v7gPtx+1j7IvrY+pj6cfpT+iH50/mC+Vf5Wflo+VP5APiC+Af3tPeU95b3pfey97z3x/fR99D3wPeq96D3rPfA98b3s/eW94T3gveB93H3VvdF90b3S/c69wj2w/Z89jT12fVc9L30CvNY8rXyL/HJ8XfxHvCv8Djv4O/E7+HwFvBT8KTxIvHF8lvysPLC8srzEfOz9IX1O/Wh9br1tvXK9gr2Zva/9wD3KfdL93D3kfeX93b3Mvbf9pD2TvYZ9e71y/Wu9ZD1a/U59Pv0ufR59Dz0AvPK85XzZvNA8yDzA/Ll8sXypfKF8mTyQPIb8fjx2PG58Zrxe/Fe8UXxLvET8PTw0/C38KLwlPCF8G/wUvA08B3wEfAK7//v7O/W78Lvsu+g74vve+9674Xvj++P74rvi++V76DvpO+l767vv+/Q79fv2O/g7/bwFPAw8EjwafCZ8NPxA/Ec8RzxDvEB8QDxEPEw8VfxdPF88XLxYvFZ8V3xZfFo8V3xSPEw8RrxAfDg8LjwmvCh8NnxMfGD8bHxuvGz8bXxxPHZ8erx+/IU8jnyavKp8vXzUvO79Cz0ofUb9Zv2GvaI9tb3BPcj90n3g/fI+Aj4OPhf+I/41Pks+ZD5+fpk+tL7Pvul/An8cPzf/VL9wv4u/pr/B/9x/9MALgCJAOUBPgGNAdICFgJlAr0DFANkA6oD7gQ2BIQE1QUqBX8F1gYsBoIG1QcjB2cHngfOB/0INAh1CL8JDgldCaoJ8wo5CnwKugrtCxULNQtSC24LiQujC7wL1gvxDAkMIAw7DF0Mhwy1DOMNEA09DWkNjQ2mDbgNyw3jDfwODA4QDhIOKQ5dDp8OzQ7TDroOqQ7CDwEPRQ9rD2sPXQ9YD2IPYg86DtYONQ1bDFELGAmuCB8GjwVFBJAEnQVZBnMHiAhcCOUJOwl1CZcJoAmRCXUJVAkxCQsI4gi6CJcIeAhXCC8IAQfPB5sHYwclBuYGrgaEBmUGRQYdBeoFsAV0BTQE7gSmBGIEJwP1A8UDlANkAzYDDgLoAsAClQJrAkcCKwISAfcB2QG8AaQBjgFxAUgBFgDoAMUAqQCHAFwALgAH/+z/1P+5/5z/gv9r/1H/MP8G/tb+ov5q/jH9/P3P/aX9dv1D/RL86/zN/LP8nfyO/If8g/x5/Gn8XfxX/FX8T/xI/Eb8SfxK/EL8NPwo/Bn7/PvM+5z7gft1+2H7RPtV+9/85f37/nj+Avzb+7H7G/sy+6L8CPw5/ET8RfxG/EX8QvxC/EH8Nfwc/AX8Avwa/D/8XPxo/Gb8X/xZ/FT8T/xH/Dz8MPwp/Cn8LPwp/B78EfwR/B78Lfwy/Cz8Kvw5/FX8afxf/C374/ub+237Xftd+1z7UPs/+zH7Kvsk+xr7DvsI+wj7CfsD+vj67/rs+uv65vrf+tv63/rm+uf64/rf+uH65frn+uj66vrw+vX69vrz+vL69Pr3+vr6+vr7+v36//r9+vj68fro+tr6y/rA+rr6t/qu+p76jPp/+nj6cfpn+lv6UPpF+jj6Kfoc+hP6DPoE+fn57vnk+dn5zPnA+bf5svmw+av5ovmV+YT5c/lk+VX5Rfkv+RL48/jZ+MP4rfiR+HL4VvhA+Cz4Fvf799/3w/en94v3c/df9033OPch9w/3BPb89ur2yfaj9oH2ZvZO9jH2EfXx9dL1s/WR9XL1WfVF9S/1E/Tw9Mv0qPSI9Gr0TvQ09Brz/fPg88Pzp/OM83LzXPNM8zzzKvMS8vny5PLR8r7yqPKS8nvyYvJC8h7x/fHi8cjxqPF98VDxKvEO8Pnw5/DY8M3wwvC08KHwjPB58GjwWPBK8EDwPfA98DvwNfAt8CXwHvAV8Arv/+/47/Pv7+/r7+fv5u/n7+jv6e/r7+3v7+/x7/bwA/AV8CbwMvA68EXwV/Bq8HXwdfBx8HXwj/DC8QjxU/GV8cjx+PI28ovy6vM482DzavNp82zzbfNi81LzUvNv85zzt/Ox85rzk/Op883z4/Pi89jz4PQD9D30gvTI9Qn1QPVs9ZT1xfYC9kX2e/aV9pD2ePZe9lD2UfZj9oT2s/bu9y/3bPee97r3uvea92f3P/dG94j35vgp+Cr37feZ90/3Fvbk9rb2lfaI9oT2cfZF9gr11vWv9Yn1WfUj9Pb02vTH9LX0o/Sg9Lv09PU49XD1jPWN9X/1d/V99Y/1nvWb9Xj1MPTH9E3z1vN680bzOPNF82TzkfPI9AL0OPRs9KD00/T89RD1EfUM9Qz1EfUT9RD1CfUE9QD0+vTy9O307fTv9O/08fT99RT1JfUZ9Oj0o/Rq9E30R/RB9C30D/P68/70GvQ59EL0J/Pt863zffNm813zVfNN81DzY/N+84/zjvN982XzRvMU8s3yfPI08fzxyfGN8UfxCfDh8M7wxPC38KjwmPB78DvvzO9B7r/uZ+4/7jDuHu3/7dntt+2i7ZztpO227czt2+3f7dvt1+3b7ent/O4S7ivuRe5e7nDue+6I7p3uv+7o7xHvNe9Z74Hvsu/p8CHwVvCE8Kzwz/Dv8Q/xLvFN8WrxhvGl8cfx7fIY8kfyfPKz8ubzDfMp80LzYPOD86bzwvPY8+30A/QW9CP0MfRN9ID0xPUI9Tr1W/V39Zz10fYP9k/2jfbN9xD3Vved9+X4L/h6+MH5AvlB+YT5zfoY+l/6p/r9+2/79vx8/Ob9Lv1k/Z395P40/oP+z/8c/27/wgAVAGQAtwERAXIB1QI0AosC3gMvA4AD0gQoBIIE3wU6BZIF5QY5BpAG6QdDB5oH8AhJCKYJBQlhCbcKBwpXCq0LCwtrC8gMIAx1DMwNJg1/DdEOGQ5ZDpQOzA7+DycPRw9iD38PoQ/FD+YQARAVECcQOxBTEG8QjhCqEL8QzhDcEO8RCREjES8RKBEXEQ0RGBE1EVURahF3EYQRlBGcEY8RaBE1EQcQ5BDCEJYQYhA1EBkQDhAMEAsQCRAHEAIP+A/lD88PvQ+zD64PqQ+hD5gPkQ+TD5wPrQ/BD9cP7xALECwQURB0EJIQrBDNEQMRVhHCEjESiBKzErQSmxJ3ElASKBIGEfMR8BHvEeQR1BHPEeMSAxIXEhMSBRH7EfARzBF7ERAQtBCFEH0QeRBeECgP6A+uD4cPeQ+ID6sPzQ/cD9cPzw/PD9IPyQ+0D6YPtw/vEEIQqhEqEckSeRMUE3YTmhOdE6ETsRPEE88T0xPbE+YT6hPaE7wTmxOAE18TMBL7EssSphKEEloSJRHsEbMRexFCEQcQzhCSEEsP7w+ADwkOkQ4ZDZ4NIwyzDF4MKgwWDB8MPgxuDKIM0wz5DRYNLQ1BDVUNbQ2IDaUNuQ2+DbMNoA2QDYgNhw2JDYgNgw18DXINYg1JDSkNCAzuDOIM4QzqDPkNBg0EDOUMqAxWDAALsQtvCzoLEwr7CuoK1QqxCoEKSwoWCeIJqgltCSYIzAhaB9MHRAa/BkgF1gVZBM4ERQPbA6sDuAPvBDMEcASkBNYE/wUHBM8ESgOQAs8CMAG/AWsBIQDbAKgAnQDFARABYwGoAdoCAwIpAkYCVwJpApkC+AOABBYErAVFBe0GmQcpB30HkQd+B10HNwcKBtcGswbFBy4H+AkACf0KoQrICo8KOgn8CdMJnwlICNkIcAgfB+AHpgdvBz4HDgbYBpQGRQXvBZMFMwTYBIYENgPZA2gC7wJ/AhkBrgE6ANUAoQCtAOkBOwGeAhcCmgMGAzcDMQMYAxMDJgM8A0IDPAM7Az8DNgMSAtQCiQI/AfQBnQEwAK8ALf/A/3z/XP9I/yT+3f54/gn9pf1W/Rn86fy9/JT8bvxM/Cn7//vP+6b7jPt7+177Kfrq+r36sPqq+oX6LvnB+XH5VPlU+UH4+/iP+CH31fey96v3sPe899L38PgO+B74GPgH9/n39ff29+733ffJ9733s/ej94r3cPdg91v3V/dG9yf2+/a+9mn19/Vr9Mr0FPNJ8nbxtvEe8KnwOu+47y3uvu6M7pjuy+8U73jwA/Cs8U7xxfIL8kXypPND9BL03/V79dL18/YD9iH2VfaQ9sP27vcg91v3j/ec93L3Hva/9m/2NfYK9en10vXF9bf1m/Vp9ST01vSI9EL0BfPS86nzh/Nq80/zNPMX8vjy2vK98qLyhfJj8j/yGvH28dTxtvGc8YPxZfFA8Rfw8PDV8MfwwPC68K3wlvB38FbwO/An8BfwB+/17+Lv0e/C77fvs++578Tvyu/F77nvsO+v77PvuO/C79fv8/AL8BfwG/Am8D3wWPBt8H3wl/DG8QXxQfFr8X3xfvF28XDxcvGB8ZnxrvG18azxnvGY8aHxsvG88bPxmfF58VzxQPEZ8OPws/Co8NPxIfFr8ZPxm/Gb8afxuPG/8bTxpfGq8dTyKPKb8yDzqPQm9Jj1BPVw9d32QfaO9r/24fcF9z33h/fU+Bb4R/hv+KD45Pk6+Z36Bfpu+tb7PPuf/AP8bPzb/Uv9uf4o/pj/Bf9o/8EAGAB1ANkBOQGOAd8CNQKSAusDOAN3A7MD9wRFBJcE6gVABZcF8AZHBp0G8Ac8B38HtwfpCBwIVAiTCNgJIwlvCbcJ+go6CnkKtgroCxALMgtXC4ELqAvGC9sL7gwEDB8MPAxcDIEMpwzGDNwM7g0FDSUNRg1lDYINpg3PDfAN/g3/DhAOTA6yDxkPUw9JDxQO4Q7RDuAO9Q78DvoPAw8jD1IPdw91DzYOrA3UDLULVAm2B+oGIwS7BBQEWwVgBq8H1wikCScJiQndChYKIwoDCcsJkQljCTwJFwjtCL4IjQhcCCwIAAfWB6sHewdDBwMGxAaPBmoGTgYxBgcF0QWUBVQFEQTLBIYERwQRA90DpwNvAz0DFQL2AtYCrwKBAlQCLgIQAfQB1gG4AaABjwF5AVgBLwEIAOwA1gC6AJEAZABAACYADv/w/87/r/+U/3f/T/8c/uX+r/53/j7+B/3X/ar9e/1J/Rn88vzW/MD8rPyb/JD8h/x9/HH8Z/xi/F38VfxO/E38UvxR/Eb8N/ws/CD8BPvT+6H7hPt2+1r7J/sP+2H8L/0d/ZT9PfxT+3H7GvtX+9P8N/xl/Hf8gvyI/IH8cfxl/F/8U/w7/CL8HPwu/Ez8ZPxv/HP8dvx3/Hj8dvxy/Gn8WvxJ/Dz8NPwq/Bz8EfwW/C/8S/xW/En8N/w4/FD8aPxg/Cr71/uO+2v7cPuD+4f7cftP+zb7Lfsq+yP7FvsN+w/7FvsW+wz7APr5+vf69frx+u/68vr3+vf68vrt+u/69Pr6+v37AvsK+xT7GPsV+xH7EPsU+xr7H/sg+x/7G/sV+w/7B/r7+uz63PrR+s36yfq++qz6mvqO+oj6g/p5+m36YPpR+kH6MPoi+hr6E/oM+gP5+/ny+eb52PnL+cL5vfm6+bb5r/ml+Zj5hvl1+Wb5WflI+S/5D/jv+NX4vPig+IH4ZPhN+Dj4IvgJ9+/31fe595v3f/dn91T3QPcs9xn3DPcA9u720fas9ov2b/ZV9jj2GfX79d/1wfWg9YL1afVU9Tz1HfT59NX0svSS9Hb0X/RK9DL0FfP289jzvfOk84vzc/Ng80/zO/Mk8w3y+vLq8tnyxPKs8pHycvJQ8i3yEfH88eXxxPGY8WnxQfEi8Qnw9PDj8NTwxfCy8JvwhfB18GfwVvBD8DXwL/At8CvwI/Aa8BHwC/AF7/7v9u/w7+vv5+/j7+Hv4e/i7+Hv4e/i7+Xv5+/m7+fv7+/+8A/wHPAi8CjwM/BE8FXwYPBm8GzwefCV8MbxCPFO8YjxtfHi8iHycfK78ujy9vL98xDzLfNE80/zXPN+87Dz1PPR86rzgvNy83zzj/Od86nzvfPd9Ab0NPRp9Kj06vUl9VH1dfWh9dv2HfZY9nr2gPZz9mb2aPZ+9qP2z/b89yr3V/d/95f3lfd390z3MPdB94T33PgY+Bf33feJ9zj28/a99pr2kvag9qr2lPZb9hX13PW19Y71V/UU9Nf0rPSR9Hr0ZvRe9G/0nPTc9SH1W/WD9ZT1mPWZ9Z71p/Wn9ZD1U/Tr9GXz4PN+81XzX/OJ877z8/Qo9Fv0i/S59Ob1EvU09UP1QfU09Sn1IfUb9Rf1F/Uc9SH1IfUY9Qz1APT09Ov08fUN9TX1TPU39PH0mfRX9Dz0PvRC9DX0HfQI9AL0CPQQ9Anz7vPD85vzhfOG85LzmvOY85HzjPOJ84PzdvNj80vzKPLz8qzyYvIf8ebxq/Fm8SDw6vDM8MLwvvC58K/wlvBa7+vvUe6y7jzuAu327fbt6O3K7aftiu147W/tcu1/7ZDtne2i7aDtoO2l7bHtw+3c7fvuGu407kfuV+5r7ofuqe7L7urvC+8x72Dvlu/O8AbwOPBm8I3ws/DY8QDxJvFG8V/xdPGO8a/x1fH98ifyVvKJ8rny3vL58xLzMfNV83XzjfOg87rz3PP99BX0I/Q19Fr0k/TP9P/1HvU59V/1lfXW9hj2WPaa9uD3Kfdx97f3+/hB+Ij4z/kW+WP5tfoH+lD6kPrY+zn7tfw4/Kj89/0x/Wv9sP3+/kv+lP7f/zH/i//nAEEAnAD5AVkBtgIOAmACsQMCA1UDqQQBBF0EvAUYBXEFyAYiBn4G2AcrB3kHxwgcCHoI3Ak7CZUJ6wo+CpUK8AtQC7MMEwxtDMENEw1iDa4N9A4zDmwOnA7EDuMO/Q8WDzQPVg93D5QPrw/KD+MP+hAOECIQNxBOEGMQdBCDEJkQuxDlEQcRExEHEPEQ5RDsEQMRHBEtETYROBEzESQRCBDiELsQkhBlEDEP+w/LD6kPlQ+ND4sPkA+XD5wPmA+KD3gPZg9XD00PSQ9KD08PVw9iD3EPhg+eD7cP1A/3ECAQSxBwEIkQmxCxENoRIBF/EeISLBJNEkgSMRIZEgIR6hHSEcIRvBG4EacRiBFqEVoRVhFOETsRJhEbERQQ+RC7EGwQLhAXEBUQAw/KD3gPLA8BDwEPJg9hD58P0Q/vEAMQGhA1EEQQOBAWD/cP8hALED0QjREMEb8SiRMxE5ATqROnE7MT0xP0FAQUBhQHFAgUAhPsE8oTphOFEywS7BKoEm8SSxIyEhgR9BHHEZERUxEPEMkQiBBFD/QPjA8TDpkOKQ2/DVIM3gxuDBML1QuzC6ULpwu1C84L8AwZDEYMdAyiDM0M9g0dDT8NWQ1mDWUNWw1QDUkNRw1HDUQNPQ00DSsNHw0NDPQM2QzDDLYMswy2DLkMtwymDIAMSgwNC9MLngtoCzMLCArvCuIK0QqtCncKPAoKCeUJxwmmCXkJNgjZCGYH6AdsBvgGhwYNBYQE8gRmA/QDrAORA5gDtQPdBAcEIgQYA9MDUgKtAgkBfwEVAMMAhABYAEsAZgCqAQoBbwHEAgUCOwJqApECrALKAwUDbQPuBGIEsATmBSUFegXOBgQGFwYiBj0GZAZ/BoUGjgbNB2sIZQmICoALBQsDCqUKNAnfCaAJVgjtCHYIEgfQB6MHegdNByAG8Qa3Bm4GGQW+BV4E/ASaBEED6wOJAxQClQIfAbMBRwDVAHEAPQBFAHsAyQEsAagCLwKZAr8CpgJ7AmwCgAKcAqoCrAKzAsQC0ALFAqECcQJGAh0B6AGRARUAhgAH/7L/i/95/1n/F/63/kz96P2a/WD9Nv0Q/Ob8tfyC/FD8Ivv1+9D7tfue+337SfsS+vP69vsG+vf6r/pA+dX5jflk+Tn49fiZ+Dz39PfG9633pPeu98v39fgc+DH4NPgt+CX4HfgR+AD38Pfl99r3w/ed93X3WvdT91b3VvdN9zr3FPbP9mn18PV29Pn0ZfOn8sjx8fFA8LTwKO+D7szuMO3X7czt/u5T7sDvRe/e8H/xGfGf8hTyhfMI86z0cfU49db2MPZL9kz2U/Zq9o72u/b29zn3bfdy90H27/ah9mn2QvYc9fj14PXb9dj1wvWM9T305/SY9FX0H/P089HzsvOV83fzVvMx8wry5fLI8rTyovKL8mzyRvIf8f3x3/HD8abxgvFZ8TDxDvD68PDw6vDi8Nbww/Co8IXwYPBC8CzwHfAQ8AHv9O/q7+Xv5e/q7+/v8u/w7+rv4u/Z79Dvy+/U7+zwDvAr8DzwSfBf8IDwoPC08L3wzPDs8R3xU/GB8aHxtfG88bvxu/HE8dfx6vHw8eXx0/HK8dTx6vH38e3xzfGm8YjxbvFH8Q3w0/C88NvxIfFk8YvxmvGr8cjx5PHq8dbxwPHF8fvyZPLy85D0J/Sn9Q31ZfW99hb2Zfag9sb26PcV91b3offo+CP4Uvh++LP49/lI+aP6Bfpr+tD7NPuW+/v8Z/zY/Ur9u/4t/p7/Bv9h/7QACgBtANUBNgGLAdwCNgKVAu0DNANvA60D9wRLBJ8E8gVHBZ8F+QZSBqoG/wdPB5YH1ggSCE0IiQjECQAJQAmCCcUKBgpGCocKwwrxCxMLMgtcC44LvQveC/EMBAweDD4MYAyADJ0MsQy2DLEMsAzEDPANKQ1kDaAN3Q4RDigOHw4TDjMOlg8gD4oPnA9WDvEOqQ6WDqIOrA6rDrEO0Q8ND08Pgw+aD4UPMg6ODZIMOQqECIMGcQTAA+0EMAVQBsAH+gjLCVAJvgokCm4KfgpVCg0JyAmVCXMJUgknCO4IrghxCD4IFAfvB8kHngdpBygG4AahBnUGWgZBBh0F6gWwBXYFOQT3BLEEbgQzA/wDxAOIA1ADJQMHAuwCyAKZAmUCNwIRAfAB0AGyAZoBiwF9AWkBTQEyAR0BCgDvAMkAoACBAGsAUgAtAAD/2P+4/5b/Z/8r/u3+tf6C/kz+E/3d/az9ff1O/SD8+vzf/Mz8vfyt/J38jPx9/HH8avxl/F78UvxK/Ev8UfxS/Ej8O/w0/C78F/vo+7D7hftn+0D7DPr2+z376/yp/Pn8nvvZ+zj7Gftw++j8PPxo/Ir8sfzJ/ML8o/yG/Hj8b/xg/E78R/xQ/GH8bfx2/IH8jvyZ/J78ofyi/J78ivxn/EH8JPwS/AX8APwL/C38VPxk/FH8K/wV/CL8QvxQ/C/76vuk+4H7iPug+6X7jPti+0H7NPs0+zH7Jvsc+x37JPsp+yP7GPsP+wr7Bfr/+vv6/vsE+wf7BPsC+wT7DPsT+xf7Hfso+zX7Pvs++zj7NPs1+zv7P/s9+zb7LPsj+xz7FvsM+v367fri+t362PrN+rz6rPqh+pv6lfqL+n76cPpg+k76Pfov+ij6Ivoc+hX6DvoF+fn56vnb+dH5y/nG+b/5ufmz+av5nPmK+Xr5bvlj+U75MPkP+PD41Pi2+Jb4efhh+Ev4NPga+AH36ffQ97L3kvd292D3Tfc59yP3D/b+9ur20Paz9pb2e/Zg9kP2JfYK9e/10vW09Zb1fPVi9UX1I/UA9N70vvSh9Ij0dPRi9Ez0LvQN8/Dz1/PA86jzkPN682bzUfM58yDzCvL18uDyx/Ks8o/yb/JO8jHyHPIM8fjx2PGt8YLxW/E68R3xA/Dv8N/wzfC28JvwhvB38GvwWvBF8DPwKfAm8CPwHfAV8A3wB/AA7/rv9O/w7+zv5+/k7+Lv4u/h793v2e/Y79rv3O/b79nv2+/l7/Lv/fAD8AfwEfAi8DnwUPBk8HHwd/B98JHwv/EE8UvxgPGd8bTx0PHz8hDyJ/JI8oHyzPMQ8z3zXfOF87fz2/PY863zd/NU803zWPNo837znfPA897z+PQZ9Er0ivTH9PX1E/Ux9V71ofXs9iz2U/Zl9nL2iPaq9s727PcE9x33Pvdf93L3b/dW9zb3Jvc793T3v/f19/n3yfd29xz2z/aa9of2lva39sr2tvZ99jj1//XU9af1bPUn9On0vfSf9IX0bfRb9FX0YPR/9LP09vU59W31ivWW9Zz1oPWg9Y71XfUF9JD0HfPO87rz1/QO9EX0cPST9LL00fTw9RH1MvVQ9WD1YfVU9UL1MfUl9SL1KvU59UP1QPUv9Rj1AfTu9OP06/UL9TX1SfUs9OD0hvRI9DT0PPRE9D30J/QO8/zz8fPr8+bz3fPR88bzxfPP89vz3vPS87rznvOF827zWfNE8yvzBvLU8pfyWvIf8eHxmPFG8Prww/Cn8J7wn/Ch8JrwdfAb74fu1u467drtue247bXto+2G7W3tXO1O7UTtP+1D7UvtVO1c7WTtb+167Yjtm+217dTt8+4M7iLuOu5Z7nzumu6z7svu6u8V70jvfO+v7+DwEPBA8G3wmvDH8PPxG/E48U3xYfF/8ajx1fH+8iDyQvJn8o3yrPLG8t7y/PMd8zjzSvNc83vzrPPj9A70JvQ29Ez0cfSc9MT04vT+9SX1WvWb9d72IPZi9qj28vc794H3xPgI+E74lPjf+TH5jPnp+jn6evq1+v77X/vN/DT8ivzT/R79c/3M/iD+bv68/xD/a//HACEAegDUATABigHgAjMChgLaAy4DhAPcBDcEkwTtBUUFnwX+Bl4GugcMB1gHpgf8CFgItAkPCWoJxwojCn0K1gszC5cL+wxWDKQM6g0vDXcNvQ37Di4OVQ50Do4OqQ7HDukPDg8vD0wPaQ+JD6oPxg/cD+wP/RAOEBwQJhAvEEEQZBCWEMgQ5hDkEMcQoxCREJsQuhDYEOMQ2hDFEK8QnRCMEHIQSxAXD94Ppw95D1QPOw8sDykPMQ87D0APPA8wDyAPDw7/DvMO8A73DwUPFQ8lDzkPVA91D5sPww/uEBwQRxBoEH8QkRClEMQQ9BEwEXERqRHLEdkR3xHjEeUR2RHBEaYRjxF6EVoRKxD7ENgQxhC4EKQQjBB6EGwQUxAoD/cP1g/KD7gPgg8kDr4Oew54DrIPEw+AD+EQKRBbEIQQshDeEPUQ7BDQELsQvhDUEPYRMBGcEkAS9hOGE8oT0RPKE9gT+BQQFBMUBxP9E/cT6xPQE6sThRNdEt0SnxJeEisSDRH6EeURwxGUEVcRDxDAEHQQMA/uD54PNg69DkIN0g1sDQcMogxGC/0LyQulC4gLcgtmC2cLdguRC7YL5AwZDFEMigzBDPANEg0nDTANMA0sDSYNHw0YDRANBQz4DO0M4gzVDMIMqwyXDIgMfwx2DGwMWwxADBkL7QvFC6cLiAteCygK9wrdCtUKywqoCm4KMgoLCf4J/gnzCdIJlglDCOIIeQgPB6YHOwbLBk4FwAUkBIoECAOxA4YDfQOFA5EDkQNzAysCuwI1AbABOADSAIEATQA/AFUAiwDcAT4BpgIEAlACjQLDAvIDGANBA4ED5gRbBLkE6wUBBR8FUgWDBZUFjwWTBb0F/wY6Bl8GjwcAB9AI6AoBCswLFgrlCm8J+gmoCWoJHgi0CEEH6ge5B54HgAdTBx8G5AahBlMF/QWkBUYE4AR1BA4DqgM9Ar8COgG+AVMA7QCFACj/8//yABkAVwCrAR0BogIPAjoCIAHuAdYB5QIFAhsCJAIvAkYCYQJxAm0CXgJOAkACJgHtAYcBAQB2AAr/yP+j/3//SP79/qj+V/4R/dz9s/2K/Vb9FfzO/JD8Xvw1/BD77/vP+6z7f/tP+y/7LPs7+zr7EPq6+lH57vmY+Uj49Pie+E74CvfX97b3rffB9+34H/hA+Ej4Qfg7+Dr4N/gn+A/3/Pfv99r3rfdu9zf3IPcs90f3Xfdl91j3KvbT9lv14vV/9Sf0s/QF8yvyVfGn8Rjwf+++7t/uEu2I7Vftdu3J7jfuse8579jwkfFV8gPyhvLr8170CPTj9bf2R/Z+9nn2Z/Zm9nv2ofbZ9xf3Qfc99wj2wfaO9nP2WvYt9fD1wfWw9bD1ofV09S304/Sl9HT0TPQn9AHz2vOy84zzZvM98xLy6PLI8rXyp/KS8nPyTfIo8gnx7PHQ8bHxkfFw8VPxPPEs8R3xDPD38Obw2fDK8LTwlfB08FnwRvA28CfwGfAQ8AzwDPAN8A7wEPAU8BjwFvAL7/fv5O/h7/LwEvAw8EjwX/CB8K7w2PD08QLxEPEl8UTxZfGH8anxzPHn8fnyBfIS8iPyLvIn8g3x7/Hi8fHyEvIp8iDx+PHG8aDxhvFj8Srw7PDL8N7xF/FV8YLxpfHR8gjyOvJV8lnyW/Jz8q7zCfOA9AT0hfTy9Ur1lvXk9jX2fva49uT3DvdB93z3t/fs+Br4Sfh9+Lz5A/lR+aT6APpj+sr7MPuU+/z8avzd/VH9wv4x/p7/A/9d/7IADABxANoBOAGIAdUCKQKDAtUDGQNYA58D8wRMBKME9wVNBaYGAAZWBqsHAAdSB6AH6ggzCH4IwwkACTYJbAmmCeIKHgpZCpYKzAr2CxQLMwtfC5YLyQvuDAcMIwxGDGwMiwyfDKcMoQyMDHYMeAyjDPANSg2hDfQOPw5wDnAORQ4hDkMOvg9UD6UPeA7sDlsOFA4eDkgOZA5tDoIOtw8DD0sPfw+lD7wPrg9aDqMNeAvQCbYHZQVdBDIENwVABrYIAwjkCXEJ3Qo/CoMKkgptCjAJ9gnMCa8JjwlgCSEI2giZCGQINggHB9QHngdkByQG4QamBn0GZgZQBi0F+wXDBY8FWwUgBNsElgRYBCAD5wOqA24DPQMbAv8C3gKxAn0CSQIcAfgB2AG7AaQBlQGKAX4BbgFcAUsBOQEfAP0A2gC/AKoAjABdACX/8v/L/6X/cv8x/u/+uP6J/lf+HP3f/aj9eP1N/SX9A/zq/Nv80PzB/K78mfyG/Hn8cvxq/F78T/xE/EX8TfxR/Ez8RPxB/D/8LvwD+8r7lftp+zv7EvsT+238Ffy1/OP8efvF+0X7PvuV+/X8LfxN/Hn8tvzl/Oj8yvyq/Jz8l/yP/IP8ffx//IP8hPyH/Jb8rfzA/Mj8zPzQ/M38svx8/D/8Evv++/f79vwA/B78RPxV/D38CPvg++b8FPxC/Eb8GfvU+6H7kfub+6P7lvt2+1j7SvtJ+0n7Qvs5+zT7Nfs3+zP7LPsm+yD7GfsP+wr7DfsV+xz7Hfsd+yP7Lfs1+zn7PPtG+1T7X/ti+1v7U/tQ+1L7U/tP+0X7N/sr+yT7IPsb+xH7BPr5+vL66/rh+tT6x/q8+rL6p/qZ+oz6f/px+mD6T/pD+jz6N/ox+in6Ivoa+g75/vnv+eT53PnT+cr5w/nB+b75tfmj+ZL5hfl5+Wj5Tfku+RD49PjW+Lf4mviC+Gz4U/g3+Bz4BPfr98z3qveJ92/3WfdC9yn3EPb59uX20Pa69qP2ifZs9k72MvYX9f314PXC9ab1i/Vu9Uv1KPUG9Or00PS29J/0jfR79GT0RvQm9Avz9fPf88bzrPOW84Hza/NQ8zTzGPL98uDywvKj8oXyaPJM8jTyI/IU8gDx4fG88ZfxdvFX8TfxGfEB8O7w2fC+8KLwjPB/8HTwZfBS8D/wMvAs8CjwJfAh8BvwEvAI7//v+e/17/Hv7O/n7+Xv5e/j793v1u/R79Hv0u/R787vze/Q79fv3e/i7+jv9fAJ8CHwPPBY8HHwffB68HbwifC/8QvxT/Fy8XXxa/Fk8WjxevGl8e/yTvKo8u7zJPNZ84/zsfOr84LzVfM88znzPvNF81Pzc/Oc88Hz2fPs9An0NfRk9Ir0pPS89OP1H/Vp9bH17fYc9kv2gPa19tz27vbz9v73Fvc090b3Q/cw9xv3Efcg90z3jPfG99v3ufdq9wr2ufaN9or2pvbK9tz2zPae9mP2LfX79cb1jPVT9ST0//Te9L30m/R/9Gj0WfRX9G70oPTl9Sf1WfV49Yn1kfWQ9YH1XPUe9M/0hPRX9FP0cvSa9Lv0zvTb9Or0/fUQ9SX1PvVX9Wr1b/Vn9VT1P/Ux9TL1QfVS9Vf1SPUp9Qn08PTh9Nr04PT19Q/1FPTz9LD0aPQ89DT0QfRN9Ef0M/QX8/3z6vPj8+nz9vQF9A/0FPQV9A/z/fPe87jzkfNv81PzO/Ml8wny5fK28oPyUPIa8dnxhPEm8NDwk/By8GjwbPBz8GzwO+/L7ybudu3v7ajtke2I7XTtVu097S7tJe0c7RLtCe0G7QbtCu0U7SbtO+1Q7WLtdu2R7a/ty+3k7f/uIe5I7m7uiu6f7rfu2e8D7zHvXO+I77jv7/Ao8F/wkfDA8OrxDPEj8TXxTfF18azx5fIR8ivyPPJQ8mnyhPKd8rTyzvLo8vzzCvMd80Hze/PB8//0KPQ/9FD0ZvSC9KD0vPTY9Pz1K/Vl9aX15vYn9mv2svb890T3i/fS+Bj4Xfik+PP5Tfms+gX6T/qO+tH7Ivt/+938NPyI/OD9P/2f/fn+TP6d/vH/Sf+g//YASwCkAP8BWQGyAgkCYQK5AxEDaAO/BBcEbgTDBRgFbwXMBiwGiQbfBzMHiwfoCEMImQjuCUoJrQoQCmsKvwsVC3QL1gwtDHIMrQzsDTMNeg22DeIOAQ4cDjgOVw55Dp4Oww7kDwEPHw9BD2UPhw+jD7gPyg/YD+AP5A/mD+8QBxAtEFoQfhCIEHMQThA1ED0QYhCLEJwQjBBpEE0QQxBCEDcQFg/hD6UPbg9CDyAPBQ71DvEO9Q75DvMO5A7RDsAOsg6mDp0Ong6pDrsOzw7kDv4PIg9ND34PsA/lEBkQRRBnEIIQnRC6ENUQ6xEAER4RSRF6EakRzxHpEfQR6xHPEasRhhFeESgQ4hCfEHIQYhBgEFoQSRAzEBwQAQ/fD78Pqg+VD2YPDQ6dDkQOKw5jDtcPaxAAEH8Q2xEYEUURdBGiEcERyRHJEdcR/BIsElwSkxLnE1wT0xQhFDQUIRQSFBkUJxQkFAsT7xPcE9ETvBOXE2gTOxMQEo8SVhIfEfMR0xG2EZIRYxEtEPAQrBBjEBwP2w+bD08O7g5+DgoNmw0yDM4McwwoC/ALxgujC4ILaAtYC1MLVwtiC3YLlAu/C/gMOwyBDL0M6A0DDRINGQ0ZDRINBQz2DOYM1QzFDLkMsAymDJYMgQxtDFwMTAw7DCgMEgv2C9ALqAuJC3ULYwtACwwK2grBCsAKvgqhCmwKOQolCi8KQAo6ChAJzAl+CTMI7QilCFYH/gecBy0GqQYMBWEEwARAA+YDrAODA2MDRAMZAtYCewISAagBQwDpAKQAggCKALIA7gE3AY4B7gJMApsC2gMSA0gDfAOzA/oEWAS+BQ4FOgVVBXsFrwXSBcoFqAWXBbMF7QYkBlUGpgdGCDkJTQo2CrsKzAqCChMJswl0CUQJAgijCDwH8QfJB7IHkQdcBxoG0waHBjYF4gWMBTAEyARVA+EDbwL3AnEB4wFiAPQAkgAx/9j/n/+T/6j/0QANAGsA5gFYAZQBjQFjAUYBSgFkAX4BkQGnAcoB9wIiAj4CRwJCAjgCKgINAdEBbwD3AIQAKv/q/7f/hP9M/xH+1P6a/mb+Of4H/cX9cv0c/NX8oPx1/Ef8GPvw+9H7svuN+2j7T/tH+0P7MfsD+rr6XPny+YH5E/iw+F/4Hffq98r3yvfu+Cn4XPhu+F/4Rfg8+Eb4T/hG+C34EPf198v3hfcy9vX26vcO90T3cPeD93b3PfbS9k310/V69S/0wfQT8znyZPG48SvwlO/S7u7uEO1n7Q/tC+1H7aPuDe6F7x/v6fDS8avySfKv8w/zpfR99WX2F/Zx9on2ifaR9qP2v/bn9xn3PPc19wD2vvaS9oD2aPYq9dH1hPVg9V31W/VA9Q/02vSv9Iz0a/RG9Bzz7PO985Lzb/NP8y7zC/Ls8tPyvPKe8njyU/I18hvyAvHm8cnxr/GZ8YXxcvFc8ULxIvEE8PDw6/Dv8O7w3vDD8Kbwi/Bz8FzwRfA08CzwLPAu8C/wMfA18DvwPfAz8B3wBO/37/7wFvAz8E7wavCQ8L/w7vEW8TbxU/Fv8YfxmfGr8cXx6vIR8jLyS/Jg8m/ybfJT8iXx+PHr8gjyP/Jo8mTyMPHq8bHxjvFr8Tfw+fDP8NHw+/Ez8Wnxn/Hi8jDyevKz8uDzDPNA83jztfP79E70qvUD9VP1nfXq9jn2hPbF9v73NPdo95f3v/fi+An4Ofh2+L75CvlY+aj5//pg+sn7M/ub/AP8cfzl/Vn9yP4x/pn+/v9f/7sAGQB9AOABOgGIAdQCJAJ2AsEDBANHA5cD8gROBKcE/wVaBbUGDAZaBqUG8gdCB5QH5whBCJwI8Ak1CW0JoAnVCgkKOAplCpMKwgrtCxELOgttC6cL3AwEDCcMTQx4DJ0Mswy2DKYMhQxdDEYMXQyqDRYNfw3VDiAOZQ6PDoAOPA4BDhUOiQ8WD08PAA5YDcMNjw25Df0OKA47Dl8Opg7/D0gPeg+rD+cQFRAFD4wOkw0QCwQIngZWBNAEfQVMBrMIEAkHCZ0J/gpHCnYKgApqCkcKJgoJCewJxAmPCU0JBwjICJAIVwgTB8cHfAc5Bv0GxgaZBnwGbQZaBjUGAQXLBZ0FcgU/BQIEwASCBEgEDAPNA48DWwMzAxUC9QLOAp0CaAI2Ag4B7wHWAcEBsAGkAZsBkQGEAXUBZAFNAS8BDwDyANYArwB4ADf//P/Q/6j/df81/vL+uv6M/lr+Hv3d/aL9dP1Q/S/9Evz8/Oz83/zQ/Lz8p/yW/Ir8gvx3/Gb8VfxK/Er8UvxX/Ff8U/xQ/Ev8OPwS++L7tPuK+1/7QPtR+7f8Xvz1/Rv8t/wQ+5b7h/vE/Ab8Jfw1/Fv8m/zU/Oj83fzM/Mb8xPy7/K78p/ym/KT8nfyb/Kz8yPzf/Of85/zn/OH8wfyD/D/8EvwG/Af8BfwB/Av8I/wv/Bn75fu5+7v77/wz/Ff8RPwG+7/7kPuC+4j7jfuG+3b7aPtj+2P7YPtZ+1L7TPtH+0L7Pfs7+zj7M/sr+yf7Kfsw+zb7OPs6+0P7TvtX+1r7Wfte+2n7c/t2+3H7aPtj+2L7Y/tg+1j7S/s++zT7MPst+yr7I/sb+xL7CPr++vL65/rc+s/6v/qv+qH6lvqJ+nn6avpf+lj6UPpG+jv6Mvoq+h/6EPn/+fP56/ni+dj50fnQ+dL5zvnB+a/5oPmS+YD5Z/lK+S/5Fvj7+N74wvir+Jb4fvhh+EP4J/gK9+r3xfeh94L3ZvdL9y/3Ffb99ur21/bE9qz2kfZy9lT2OfYh9gb16PXJ9a31kvVz9VH1LvUQ9Pn05PTO9Lr0qPSU9Hr0XPQ+9Cf0FPP+8+PzyPOw85vzg/No80rzLfMP8u/yzfKs8o/ydPJa8kTyMvIh8grx6/HL8a7xlfF58VjxNvEZ8QHw6PDL8K/wmfCM8IHwdPBk8FPwRvA68DPwMPAv8CvwIfAU8AjwAe/97/jv8e/r7+jv6O/n7+Hv2e/S787vzO/J78bvxO/F78fvyO/M79bv5+/88A/wIvA68Fnwc/B58G3waPCG8MrxGvFS8WPxV/FC8TTxN/FR8Yjx1PIm8nTywPMP81Xzd/No8zvzFfMP8x/zKvMo8ynzQfNx86TzxvPY8+bz+vQU9C70RfRf9IP0t/T29Tf1dPWv9fP2QfaJ9rn2yfbJ9tH26PcF9xT3EvcE9vb27fbz9xP3Uvef98/3wfd09wz2ufaU9p32vvbd9ur23fa79oz2VfYa9d/1rPWF9Wr1TPUj9O70u/SU9Hn0ZvRc9GL0f/Sw9Or1H/VJ9Wj1fPWD9Xz1ZvVE9Rv09vTh9OD07fT49Pr09/T49QL1EfUg9S/1P/VT9Wf1cfVt9Vz1RvU59Tz1TvVe9Vr1PfUR9Or00/TL9Mr0y/TQ9NP0yvSq9Hn0TPQ29Dr0S/RW9FD0OvQe9ATz9PP29An0KPRE9FX0VPRC9CHz9/PI85vzc/NT8znzJfMR8vbyzvKc8mjyN/IE8cPxbfEL8LLwc/BQ8EbwS/BQ8D7v+O917s7uMe3H7ZTtfO1i7TztGO0B7PXs7Ozf7NPszOzJ7MfsyezT7OrtCO0j7TrtUe1s7Yftoe277druAu4t7lLucO6N7q3u0+737xjvOu9n76Hv4vAi8FzwjvC68OHw//EV8SfxQfFt8anx5vIR8ibyLPI18kjyZPKB8pnyrfK+8s3y2/Lv8xTzT/OY89/0F/Q89FL0YvR09Ir0o/TA9OH1CPU59XH1rfXs9i32c/a89wf3U/ee9+b4K/hv+Lf5Cfli+b36Efpe+qv7APta+7T8Cfxc/LL9Df1p/cH+F/5r/sL/Gf9v/8UAHAB2ANIBLQGHAeICPgKbAvcDUAOnA/4EUwSlBPYFSQWhBfwGWAaxBw0HbQfQCC0IhAjaCToJpAoLCmQKsAr+C1ULsQv/DDoMbAymDOsNMA1mDYoNpQ3CDeMOBg4qDk8Ocw6UDrIOzg7uDxIPNg9WD3APhA+TD50Pow+mD6oPsQ/AD9kP+BAREBgQEBAKEBgQPBBgEGgQTBAeD/0P9xAAEAEP6g+7D4QPUw8sDw0O9A7iDtgO0Q7DDqsOjQ5yDmEOVg5QDkwOUQ5eDnIOiQ6kDsYO8A8iD1gPlA/XEBkQURB8EKEQyRDvEQcRCRECEQ4ROxGBEcUR9BIIEgUR8hHVEbIRiRFUEQcQqRBSECAQGBApEDcQNBAiEAkP7A/ND7IPlw9vDycOwg5lDkAObA7hD34QIxC/EUMRohHcEgISKRJZEogSrRLPEv8TRhOWE+AUHxRbFJIUtBSuFIgUYBRNFE0URRQmE/kT1RPDE7UTlhNiEyUS7xLBEkgSCRHOEZwRcBFAEQgQzxCcEG4QQRAMD9IPkg9NDvwOnw45DdANaA0CDKEMTQwMC9sLtAuRC3MLYQtbC10LZAtsC3gLiguoC9gMGQxiDKQM0wzvDP4NBw0JDQMM9QzkDNAMvAypDJsMkgyIDHgMYgxKDDQMHgwIC/IL3gvHC6ULfAtXCz8LLQsRCuYKuwqnCqoKrgqbCnQKVApUCmwKfQpoCisJ3gmeCXoJaQlVCS0I7AiVCC0HrAcPBl4FqgUJBIMEEwO5A3QDQQMTAtsCkQI9AeoBngFbASoBFgEiAUUBcwGrAfECSAKjAvEDMANpA6QD4gQjBHAEygUjBWMFhgWgBckF/AYYBgYF3QXGBdoGBgYzBmsG2AeVCIkJcgoWCl0KVgodCc8JhQlNCRwI4AiPCDoH+AfRB7MHiQdLBwMGuAZrBhgFwQVpBQoEnwQoA64DNwK6AjABnwEXAKQAP//d/4T/Rv8t/y//Pv9b/5j/+gBnALQAygC2AJ0AlgClAL8A3gEHAT4BgwHLAgUCIQIfAg0B+wHtAdUBoAFOAO0AkQBDAAD/w/+L/1b/IP7r/rr+i/5V/gv9sP1U/Qz82Pym/Gv8LPv7++H70fu5+5P7aftI+zb7LPsf+v/6wfpf+eD5V/jb+Hr4Mvf/9+H34vgG+D/4afhs+E34K/gm+D/4Wvhb+ED4F/fn96f3Uvb89sr20fcG90b3cfd992T3Hvas9ib1sfVd9RD0nPPl8wHyHPFa8LjwHO9u7q7t8+1Z7Pns2+z07S7tee3X7lvvFe/28NfxjfIP8oTzHPPm9MD1dvXs9jX2b/ao9tf29vcP9y/3S/dF9xH2x/aO9nD2UvYU9bj1YvU09S31L/Ug9P701PSt9In0Z/RF9CDz9fPH85zzffNp81jzRPMr8w7y7PLE8pvyePJe8knyL/IQ8fLx2vHH8bHxlvF28VTxMfEU8QPxBvEV8SPxIvES8Pnw3vDC8KPwgvBl8FPwTvBR8FXwVfBT8FLwUfBM8D7wKvAb8BrwKPA+8FXwb/CS8L7w7/Eg8VHxgfGu8c/x4vHv8gDyG/I88l7yfPKX8qfyn/J68kHyEfIK8jnyhfLB8sHygPIf8cnxkfFo8Tfw+/DM8MPw4vEX8VLxkfHa8iryefLE8w3zWvOj8970CfQ09Gv0svUA9Uz1lvXg9ir2cva39vr3OPdu95j3uffc+Af4PPh8+MX5Ffll+bX6CPpk+sz7N/ug/An8d/zs/WD9zf4y/pf+/v9l/8cAJQCCAN4BNgGIAdcCJwJ2Ar4DAQNJA5wD9wRSBKwFBwVnBcQGFgZcBp0G4gcuB38H2gg/CKkJBwlTCY4Jwwn3CiMKRQphCoMKrwriCxcLTguKC8YL+QwkDEwMdgyfDL0MyQzCDKUMdAxBDC4MXAzFDT4NmQ3NDfYOKQ5TDksOCg3BDboOCg54DqgOaw3qDYANbQ2iDeQOCA4dDkoOnw8CD1EPiA/IEB4QbhB9ECAPRg3sDAsJugdbBZAE5wVzBr8IJQkxCdAKKApaCnUKegpzCmcKWApBChwJ6wmyCXMJNAj3CLoIdggkB8wHegc0BvkGxgacBoIGcgZeBjkGBAXQBaUFgQVYBSUE6wSvBHEEMQPvA7IDfwNXAzYDGQL2AsoClAJdAjACEAH5AeQB0QHEAb0BtgGtAaABkQF/AWUBQwEcAPEAvgCAAD0AAf/T/6r/ev89/vv+wP6M/lf+G/3b/aP9ef1Z/T39I/0L/Pf85fzS/L/8rfyh/Jf8jvyA/HD8Yvxa/Fv8Yfxm/Gf8Zfxg/FL8OPwV+/H70/u4+5j7ffuK++D8dv0J/UX9Bfx4+/v7zvvm/BH8J/wy/Ez8fvyx/ND82PzZ/Nn80/zD/LH8qvyq/Kf8nfyZ/Kj8xvze/OP83fzX/M78svx8/ET8JPwk/Cv8IvwL+/z8APwI+/z72Pu0+7D71vwR/EH8Svwn++r7rfuH+4D7jPuY+5f7jPuA+3r7eft3+3P7bPtl+177WftY+1j7V/tV+1H7T/tQ+1D7UftV+1/7a/ty+3P7cPtw+3f7f/uC+4D7evt2+3X7d/t5+3f7cPtl+1j7T/tM+0v7SvtE+zr7Lvsg+xL7Bfr6+u363/rQ+sT6uPqr+pz6jfqC+nn6bvpe+k36QPo3+i36HPoL+f359vnx+en54/ni+eX55fnd+dH5w/m1+aL5iPls+VL5Ovki+Qf47PjU+MD4qviP+HD4UPgu+An35Pe/9533ffde90D3JfcN9vn25PbN9rH2kfZx9lX2PvYq9hH18/XS9bT1l/V69Vn1OvUg9Qv09/Tk9NH0v/Sq9JD0cvRY9ET0M/Qc9ADz5PPM87bznfOA82LzR/Mr8w3y6/LM8rDylvJ78mHySvI08hrx/PHf8cjxs/Ga8XnxVPEz8RXw+vDf8MfwtfCl8JXwhPB28GrwXvBO8EDwN/A08DHwKPAb8A/wCPAC7/vv8u/r7+nv6e/n7+Pv3e/X79Lvy+/F78HvwO/B78PvxO/H79Lv5e/68AjwD/Ab8DbwV/Bq8GXwV/Bg8JPw4vEs8VbxX/FU8UbxPfFD8VzxifHE8g7ybPLZ8znzY/NH8wTy0fLN8urzAvMF8wLzFfNG84Dzq/O/88fz0PPg8/X0DPQn9Er0d/Sr9OD1FPVK9Y313vYs9mP2fPaH9pz2vfbc9ur25fbc9tP2yvbG9t33I/eH99f33feR9x72wvaf9q720vbx9wH2/Pbi9rX2efY39fz10PW29aH1gPVI9P30tPSA9GX0XfRe9GT0dfSS9Lf04vUO9Tj1W/V09YD1f/V09WL1TPU69S/1J/Ud9Q/1A/UC9Q31HfUr9TP1PfVL9V31bPVu9WL1TvU/9T71SvVV9Uz1KvT69M/0t/Sv9Kz0p/Sf9JX0hvRu9FH0O/Q29D/0TfRS9En0NfQf9A/0DvQg9D/0Y/R/9Ij0e/RZ9Cfz7fO184bzX/NB8ynzGPMJ8u/ywvKG8kfyE/Hm8a7xX/EB8Kvwb/BT8E/wU/BK8Bzvt+8h7n7t+e2p7YLtZO087Q7s6+zX7MjstOyd7I/sjOyP7JDsk+yg7Lrs2+z67RXtMO1L7WTte+2W7bnt4+4L7i7uT+537qTuze7q7wPvJu9b75zv3fAV8EbwdfCj8M/w8/EP8SbxP/Fk8ZTxx/Hu8gLyCfIS8ijySvJr8oTylPKe8qryufLR8vXzKPNn86zz6/Qc9Dr0SvRW9GX0fvSd9MH05/US9UT1e/W19fT2N/aA9sz3Gvdo97P3+/hB+Ij41fko+X750vol+nr60/sv+4j73Pws/Hz8zv0j/Xn90/4u/or+5P89/5f/8wBPAKoBBAFdAbkCGAJ4AtgDNQOPA+cEPQSQBOEFMwWIBeAGOAaRBusHSgerCAkIZgjGCTAJnwoHCl0KpQruC0ALkgvVDAYMMAxkDKQM4A0MDSkNQw1kDYsNsg3VDfkOHw5DDmMOfw6eDsAO4g8ADxkPLg9BD1IPYQ9rD3APbw9tD3QPjQ+zD9oP9hAJEBsQLxA4ECcP+g/FD6EPmw+oD7IPqQ+ND2gPRA8lDwsO8w7dDsYOqw6JDmEOPA4fDg8OCA4FDgUODA4ZDiwORA5jDowOvQ70DzIPew/QECkQdBCtEN0RDBE2EUwRSBFAEVMRjhHaEhMSIxIOEeoRxhGlEYURXBEhEMwQahAWD+4P9hAYEDYQPxA1ECAQBA/kD8IPmQ9dDwgOsA6CDqcPHw/FEGsQ/BF5EeUSORJvEpUSwBL6EzsTdBOnE+IUMRSLFOAVHxVBFT8VFxTSFIsUYBRVFFMUOxQKE9YTthOrE50TeBM9EvoSvRKEEfoRpBFXERgQ3hCjEGcQMxAQD/gP4Q/AD48PUA8CDqcORg3jDYINJAzHDHAMJwvwC8QLngt7C2ELVQtXC2ELbgt/C5MLqgvFC+oMHwxgDJ4MzAznDPUM+wz7DPYM7gzlDNkMyAyzDKEMkgyFDHEMVgw4DBoL+wvcC8ILsAugC4ULWwsuCw0K+grnCskKqgqaCp0KowqYCoEKdgqJCqoKtwqYClQKEQnxCgAKKQpJCkQKEgm7CUgIvAgWB1kGkQXPBR0EgQQEA6sDcQNGAxUC2AKXAl8CMwIOAfAB3wHgAfACCgIxAmwCugMNA1gDmAPUBBEETwSSBOAFOQWLBb8F0QXYBfAGFAYmBhgF+gXwBgUGKgZSBpMHEwfVCKgJTgmqCc8J2gnSCa0JbAkfCNoInAhdCBwH5Ae7B5UHZAclBuAGmgZPBfkFmwU5BNQEZgPvA3YC/wKFAf4BbwDnAHAABv+h/0P++/7S/rz+q/6i/rP+7v9G/5j/xv/N/8D/tv+7/9P//QA5AIUA4gFFAZ8B2gHrAd0BxAGvAZoBeAFCAQAAvAB5ADb/8f+t/2v/K/7u/rv+kf5h/h/9y/13/Tb9BPzO/Ij8PvwF++j72fvF+6L7ePtR+zb7KPsl+yD7BPq7+j/5pfkQ+Jz4Tfga9/v38fgB+CD4N/gv+BD39vf9+B/4Pvg8+Bf34Pek9173DvbK9rD2zPcH9zv3Tvc+9w/2wPZV9eD1fPUw9OT0b/O48svxzfDd8A3vXO7C7jrtw+1j7STtCe0M7SLtRe197dbuWe8A77TwX/D38YryLfLp86n0UfTW9U31zfZT9sL3Avcc9yz3Ovc09wL2sPZl9jn2IfX/9cT1g/VW9UP1NfUc9PP0xPSW9Gz0SvQx9B30AvPc87LzkfOA83jzbvNc80DzHfL18s7yrfKT8njyWPI08hTx/PHl8cjxo/F98V3xRPEw8SXxJ/Ez8UHxRvE+8S7xHPEJ8PDw0PCu8JHwgPB78HrwdvBs8GHwW/BY8FTwSvA98DfwO/BH8FnwcfCV8MXw/PEz8Wrxn/HQ8fryGfIv8kHyU/Jn8nzylvKy8sbyxPKl8nTyT/JT8ovy4fMk8yby2/Jj8e/xnPFk8S/w9vDK8MPw5PEe8V3xm/HZ8hnyWvKd8ubzNvOD88Tz+PQr9Gj0sPT79UT1iPXK9gr2SfaM9tL3FvdP9373q/fg+B34W/iZ+N35Kvl7+cv6Gfpu+tD7Ovul/BD8fvz0/Wn91/47/p7/Bf9r/8sAJAB7ANQBLQGCAdQCJwJ4AsQDDQNXA6gD/wRXBLAFDQVtBckGGQZdBpwG3gcoB3kH1Ag7CKQJAglMCYcJvgn0CiEKQQpZCnoKqwrqCy8LcQuvC+cMFwxBDGgMjQysDMAMygzGDKkMcgw2DCMMXAzSDUoNjw2dDaINwg3vDfoNzQ2FDV8New29DekN3A2pDYYNlA3GDfUODA4dDk8OqQ8SD2kPrg/9EGIQuRDGEGQPlg5iDLgKkwg4BkMFVQWkBtMIOAlSCfwKUwp/CpQKmQqXCpMKhwpqCjwKBgnQCZsJYwkkCN4IkwhGB/4HvweGB0oHCAbJBpsGfwZmBkEGDgXbBbIFkgVvBUQFEgTZBJsEWQQYA98DsAOJA2YDRwMnAv4CyQKPAl4COwIiAgoB8wHkAd4B3AHXAc0BwQG0AZ4BeAFEAQgAyQCHAEYADP/c/7P/hP9J/wj+yf6P/lf+HP3j/bH9iv1r/U39MP0V/P786PzT/L/8sPym/Jv8j/yB/HX8b/xt/G/8cfxz/HX8dfxu/Fz8QPwf/AP78Pvh+837tfux++P8U/zf/T79Pfzg/Gb8FPwA/BT8K/w8/FH8cvyX/LP8wPzE/MH8tPyf/Iv8hfyI/If8fvx5/IX8n/y0/Lf8rvyn/KP8k/xx/Ev8Ofw+/ET8NvwV+/j78fv5+/v77fvW+8X7yPve/AH8JPw1/CX7+fvH+6j7pvuz+7v7tPuk+5j7k/uT+5P7kvuN+4j7g/uA+4D7gfuA+3z7dvtv+2r7avtv+3n7g/uH+4X7gvuD+4f7jfuR+5L7kvuR+5H7kvuW+5v7nfuY+437gvt7+3j7dftw+2b7V/tG+zP7IvsU+wj6/frz+un63frQ+sD6sfqm+pz6jvp7+mb6VfpJ+jz6K/oY+gn6A/oB+f/5/Pn7+fz5/Pn3+fD55/nd+c35tfmY+X35ZflO+TX5GvkA+On41Pi8+J74evhS+Cr4Bffi98D3nfd691n3PPci9wr28fbV9rb2lfZ19lv2R/Y39iH2BPXi9cD1ovWE9Wb1S/Uz9R71CfT19OT01PTA9Kf0i/Rz9GL0UfQ69B30AvPq89Pzt/OX83rzYPNH8yrzDPLw8tfyvPKe8n/yY/JJ8i3yD/Hz8d3xyPGv8Y/xa/FJ8SrxEPD78O3w4PDM8LPwmvCK8IPwe/Br8FbwRfA78DTwKvAd8BLwCfAB7/jv8O/r7+nv5+/j7+Dv3e/a79Tvy+/C77zvu++/78Tvx+/L79Tv5u/68AjwC/AO8BzwNvBN8FHwSfBL8HDws/D88TPxUPFX8VPxTPFK8Vbxb/GX8dbyN/K48zHzbfNP8vbypfKL8qTyx/LZ8uHy9/Mk81jzf/OT85zzqfO/89nz9PQN9Cv0UfSB9LP04fUN9T/1fvW+9fH2EvYx9l72lPa+9sv2xfa/9rz2tPap9rj2/vdx99f37/eo9zH2zfak9rH22fcD9yD3J/cT9uL2oPZd9iP1+PXW9bP1g/U99Of0k/RV9Dj0NfQ/9Er0VvRm9H30nvTH9Pf1KfVY9X/1mPWe9ZD1dvVZ9UD1MPUj9Rj1EvUV9SH1L/U59Tz1P/VH9Vf1Z/Vx9Wz1WvVG9Tr1OvU89TT1GfTw9Mb0p/ST9IX0ePRr9F/0U/RI9D30N/Q59D/0Q/Q/9DX0KPQj9Cr0QPRi9Ib0ovSv9Kj0j/Rk9C3z8fO684vzYvM/8yPzEfMC8ubysvJr8ibx9/HX8azxZPEE8KrwcfBg8GfwavBP8AHvgO7e7kPt0+2U7W/tRu0T7OPsxOyy7Jzsfuxh7FTsV+xf7GPsaex47JTstOzT7O/tDe0r7UXtXO157Z/tye3u7gzuMO5f7pPuve7b7vnvJe9e75jvx+/w8B/wWfCV8Mfw7fEK8STxPfFW8XPxlvG58dTx5vH38hHyNfJX8m7yefKA8ovynfK38tby/fMu82jzpvPc9AP0FvQg9C30RfRo9JL0vvTs9Rz1UPWH9cL2AvZH9pH23vcs93v3yPgU+GD4r/kA+VD5nPno+jf6jPrl+z37k/vm/Dj8ivze/Tf9lv33/lf+tP8P/2v/yAAjAH0A1QEvAY0B7gJRArIDEgNvA8kEIAR1BMoFHwV1Bc0GJQZ6Bs8HJQd/B98IQwiuCR4Jjwn0CkgKkQrZCyYLbgumC84L9AwkDFwMjwyyDMsM5w0MDTQNWQ17DaANyQ3xDhUONA5VDngOmQ6zDscO2w7xDwgPHQ8sDzUPOA83DzwPUg95D6gP0Q/sD/cP9A/gD7oPhw9VDzUPLA8zDz8PRg9CDzUPIw8NDvgO4Q7FDqEOdA5EDhgN9Q3dDdANyg3IDcsN1Q3iDfMOCQ4oDlUOjg7PDxoPdA/aEEIQmRDcERIRRhFzEY8RnBGwEeMSLRJpEnESPRHqEZ0RZhFAERsQ7xC2EHEQKw/7D/MQEhBAEGIQbhBoEFgQPxAdD/APtg9rDxUO1g7eD0YP+BC2EU0RsxIBEk0SlhLUEwcTPRN9E70T8hQdFFAUlhToFTMVYhVpFUMU9xSfFFwUQRRDFD8UGxPeE6cTjBODE3UTTxMWEtcSlhJNEZYRKRDLEIEQRRAPD+EPwQ+uD6EPkA9zD0YPCA64DlkN8Q2LDSwM1QyEDD0MAwvXC7ILjwtvC1gLTQtNC1MLYgt9C6ALxQvnDAkMNQxtDKYM0wzsDPUM8wzsDOUM5AzqDO4M6AzXDMEMrwydDIYMZgxADBgL7gvFC6ILjAt+C2cLPwsQCusK2ArOCr0KqAqcCpwKnQqVCokKjgqwCt4K9grmCr0KnQqnCt4LKQthC2kLNwrSCkwJrgj5CDAHVgZ4BaUE7QReA/sDugOGA1ADGALsAtQCzALGAroCqQKcApkCpALBAvMDNAN5A7sD/AQ/BIEEvQT6BUQFnQXuBhkGGgYMBg0GHgYqBiIGEwYTBiQGPAZeBqoHOAfxCJUI9QkZCTUJZQmTCY4JSQjjCIkITAgdB+8HwAeWB20HOwb+BrwGegYwBdcFcQUGBJoEKgO2Az8CygJTAdMBTADJAFL/5v99/xj+wf5+/kn+Fv3n/dH95f4h/mf+nf60/rL+p/6j/rX+4v8p/4b/9gB0APQBXQGbAagBkgFqAToBBgDVAKsAigBoAD4AB//E/3b/If7Q/pT+b/5Q/iP94f2Z/Vz9KPzs/KP8V/wc+/X72Pu4+5T7dPtb+0T7Mfso+yj7Hfrq+nr53/lA+ML4cvhB+B/4Bff59/n3+Pfq99L3xPfQ9+n38vfY96H3Zfcv9v32yfaj9qL2yfb/9x/3F/br9qn2WPX89aD1UfUN9MD0SvOX8qvxm/CG74/uze5G7e7ts+2O7X7tfO197XvtfO2O7bjt+O5K7q3vIe+l8Dbw1PGC8jby2/Nt9AP0uvWQ9lX21/cI9w33CvcB9t32lvZJ9hr2DvYN9fv11/Wu9Yj1XvUp9Ov0rfR39Ev0LvQg9Bn0DPPv88fzpPOR84jzf/Nt81TzN/MY8vjy1/K28pPybvJL8i7yFfH48dTxq/GI8XDxYvFY8VDxTPFO8VDxT/FH8T7xN/Ey8SnxGfD+8N3wvvCp8J3wk/CF8HTwZ/Bg8FvwVPBK8EHwQPBJ8Fzwe/Cp8ObxJvFh8ZHxuvHg8gfyLvJR8m7yg/KQ8pzyr/LH8tvy3/LP8rPyovKv8uXzM/Ny83XzK/Kp8h7xr/Fh8SHw6PDD8MXw9PE68YHxvfHy8iTyVfKG8rry9fM183jzvfQG9FP0n/Tn9Sr1a/Wp9eH2GfZW9pr23/cc91X3l/fm+Dv4hPjC+P75RvmY+ef6Mfp/+tz7Rfuy/B78jf0C/Xj95v5L/qz/Df9s/8YAGgBwAMoBIwF4AcsCIQJ7AtEDIANrA7gECgRgBLkFFQVyBcsGGgZgBqMG6AcxB38H1QgyCJAI4gkkCV0JlgnTCgkKNApYCoMKvwsIC1MLlwvQC/8MKAxPDHMMkQykDLIMvwzDDKkMaAwcC/0MMwysDScNaA1wDWoNfg2jDbENkA1PDRoNDQ0kDUcNYw14DZQNvg3vDhUOKg5ADnQOyw8yD48P4BA4EJwQ5BDcEGwPpQ6VDSILLAjfBtAFsQXUBusITAlrChoKeQqvCssK0QrLCr8KqwqHClQKHQntCcIJjwlMCPsIqghqCD8IIgf9B74HYwcEBrwGkgZ3BlUGJQXyBcgFpAWBBVkFLAT7BMQEiAROBBoD7QPDA5wDeQNYAzMDAQLKApoCdgJZAjsCHQIHAgECAQH/AfgB7wHmAdMBrAFvAScA3gCZAFoAIf/w/8L/kv9Z/xr+2v6d/mP+LP35/c39qP2G/WP9Qv0l/Qz89vzh/M/8wPyy/KL8kPyC/Hv8e/x//ID8fvx8/H38ffx3/Gv8WPxB/Cr8GPwL+//77vve++j8K/yk/Sb9bv1X/Pf8jfxL/Dn8P/xK/Ff8bfyJ/J38o/ye/JH8gPxs/F38Wvxf/GD8WvxT/Fr8bPx8/H78ePx2/Hv8evxp/FL8RPxF/Eb8OPwd/AX7/vwF/A/8EfwH+/D70Pu4+8D77/wu/Fb8TPwa++T7yfvL+9T71PvJ+737tfuy+7H7sPuv+677qvum+6T7pPuk+6D7mPuP+4r7ivuP+5b7mvua+5n7mfub+5/7ovuk+6f7rfuy+7P7svu0+7v7xfvK+8f7v/u2+6/7qPuf+5T7hftz+137R/s0+yb7G/sS+wn6/vrw+uH60frF+rr6rPqa+oT6cPpg+lL6QPot+h76F/oX+hj6GPoY+hj6FvoS+g36B/oC+ff54vnH+av5k/l++Wf5TPkw+RX4/vjn+Mn4ovh2+Ev4JfgE9+P3v/eZ93T3Uvc09xf2/Pbg9sP2pPaF9mv2VvZE9i72EfXv9c31rfWQ9XX1XPVH9TP1H/UL9Pz07fTb9ML0pvSP9H30avRR9DX0GvQD8+nzyvOp84vzc/Na8z7zIvMK8vTy2vK58pbyd/Jb8j7yIPID8erx0vG28ZfxdvFY8TzxJfEX8RLxC/D38NTwsfCe8JrwmfCM8HbwXvBN8D7wL/Ag8BPwCe//7/fv8u/x7+/v6e/h79vv2e/X79HvyO+/77rvue+878Pvyu/Q79bv4O/w8ADwCfAK8A3wGfAp8DLwNPA78FjwjPDI8P7xJfE98UbxRvFH8VHxZPGA8a3x//J/8wrzYvNc8wXyoPJn8mnyivKq8sTy4vMK8zPzUfNi83Pzi/Os88/z7PQB9Bb0NvRm9J700fT49Rr1QfVp9Yv1q/XY9hz2aPae9q/2qPak9qj2pvaY9p322PdI97b33fen9zz22vaq9qz20PcC9zD3R/c39wL2vPZ69kP2DvXW9Zf1VfUO9MP0efQ+9B70FvQa9CD0JfQu9EH0XvSF9LX07/Ux9XD1nvWw9aP1f/VX9Tn1KvUm9Sj1LPUz9T31SPVP9VH1UPVT9Vv1Z/Vx9XD1YfVL9TT1JvUg9Rr1C/Tx9M30qPSG9Gr0VfRG9D30OPQ59D30Q/RH9ET0O/Qw9Cn0LvRC9GT0jvS29NL02/TP9LX0kPRj9DHz/PPL85zzcPNG8yTzDPL48tXymfJN8g3x7PHe8b7xcvEF8J/wZPBc8GvwbPBC7+PvWO697jXt1u2b7W3tNuz47MTsouyJ7GzsSuwx7CzsNew+7EHsR+xZ7HTsj+yn7MHs4+0G7SPtPO1b7YTtsO3T7fHuFe5F7nnupO7I7vPvKe9e74Tvou/S8CbwjPDe8QTxCPEI8RXxLfFD8VXxbPGN8bDxz/Hp8gXyJfJD8lXyXfJi8mzyffKU8q7yyvLt8xzzU/OK87Xz0PPf8+30BvQt9F30kPTD9PX1KfVf9Zf10/YU9ln2o/bx90H3kPff+DD4g/jV+SD5ZPmo+fH6QvqX+u/7R/uh+/r8Uvyq/QX9Zv3J/ij+g/7c/zf/kv/tAEYAoQEBAWQBxgInAogC6ANHA6ID+QRPBKUE/gVXBbEGCgZgBrIHBQdeB8EILAicCQoJcwnRCiIKawqxCvULMQthC4YLrQvcDA8MPAxdDHoMmgzBDOYNBg0mDUoNdQ2eDcMN5g4MDjUOVw5uDn0Ojw6nDsEO1g7lDvIO/w8MDxoPKw9CD18PeQ+HD4QPcg9WDzgPGw8BDuoO1g7KDskO1A7iDugO4g7TDsAOqQ6KDl4OKg33Dc8NtA2jDZgNkg2UDZ0NrA28DcwN3w39DisOag64DxIPdw/iEEYQmBDZERIRSRF8EacR0xIVEnESxhLjEqkSKxGgETkQ+xDTEKkQeRBKECIQCRAJECUQVRCCEJwQohCeEJcQhxBnEDQP7g+cD1APMA9lD/gQwRF6EfQSMxJdEpUS3BMjE2ATlRPEE+oUBxQpFGAUrRT/FT0VVRVEFQ8UwxR5FEsUQBRDFDIT/RO3E34TYRNTEzwTExLeEqMSXBICERwQqBBJEAEPzA+lD4sPfA9xD2APQg8bDu4Otw5vDhMNqQ0+DN8MjQxIDA4L3wu8C54LgQtnC1MLRgtAC0ALTAtpC5ULxAvsDBIMQAx3DLAM3AzzDPYM6QzWDMYMxgzXDO4M+QzzDOMM1AzFDK0MiQxcDCwL/AvMC6ILhQtyC1oLMgsBCtoKxwrBCrgKqgqfCpsKlwqNCoUKkgq9CvkLKgtEC00LXQuFC8MMBAwrDCML4gtyCuIKQAmRCM8H+gcZBkAFhQT0BIgEMQPfA5ADUAMuAysDOwNMA1EDSgM9AzIDNANKA3IDpQPZBBEEVAShBO0FLQVoBa4GAgZKBmgGWgY7BiwGMgY7BjsGNQYzBjMGNQZOBqMHPgfwCHAIngifCLgJAQlKCVQJDQihCEkIFAfxB8kHnQd0B04HHgbgBpsGVQYJBbAFRwTWBGYD9gODAw4CmQIkAaoBKwCuADn/y/9e/vH+if4t/dj9hv0//RP9Ef00/WX9jf2c/ZX9gP1t/XD9kv3X/jv+vf9YAAEAoQEXAVABSwEYAM4AggBJACkAHgAbABP//v/U/43/LP7H/nz+Wv5O/jr+Cv3I/YT9Q/z9/LL8bfw5/BD74/uu+377YvtX+037PPst+yb7Hfry+pD6Aflq+PH4ofhu+EX4Hvf+9+f30/e996j3nvei96P3ivdQ9wz22fbA9rX2p/ab9qH2vvbi9vH23vat9mv2IvXW9Y31R/T89J30GPNi8nfxZvBL71Xupu5A7gzt8O3l7evt++4A7fTt4u3d7ejt+O4F7hvuSu6U7vPvavAC8LfxcPIa8sfzovS39dD2m/bt9uv21/bU9s/2rPZ09kj2PPZB9jz2IPX19cT1i/VE9PX0q/Rw9Ef0L/Qi9Bv0DvP189Tzt/Ok85fzh/Nx81nzQvMt8xLy8fLN8qnyivJw8lfyOPIQ8eLxtvGW8YXxfPF38XPxb/Fq8WLxV/FL8ULxP/FA8UPxQPEz8Rfw8/DT8L7wtPCq8JrwhfBx8GHwU/BH8D/wQPBN8GnwlPDO8RPxVvGO8bbx1PHx8hHyN/Jf8oXyo/K48sjy2PLo8vLy8/Lt8ufy6vL/8yrzZfOY853zWfLW8jzxtfFQ8QPwx/Cl8LDw6fE68YvxzfIG8jrya/KV8rry4vMW81jzpvP39ET0ifTJ9Qr1TvWP9cf1+fYw9m/2sPbu9y73fvfh+En4n/jh+R35Y/m0+gT6T/qc+vb7XvvK/DX8o/0W/Yv9+f5d/rv/GP9x/8UAGABvAMkBIAFyAcYCJAKJAuoDPAOBA8YEFARrBMcFIwV8BdEGHgZmBqsG8Qc6B4QH0wgkCHMIugj3CTAJbgmxCfIKKgpeCpYK2gsnC3QLtQvlDAkMKgxNDG8MiQyZDKYMtgy4DJIMOQvRC54LzAxJDNINLg1UDWINcg19DXINSA0SDOUM0AzUDPANIA1dDZsN1g4KDjYOWA56Dq4O/Q9fD70QEhBlELQQ3xC8EEAPgw6VDVELhQlHBysF8QX8BwcIZgmDCjQKmgraCv4LAgryCtwKxAqgCmwKNAoFCd8JsQlrCRIIuwh/CGUIXQhFCAIHmAcmBtMGqQaSBnMGRAYPBeAFtwWOBWEFNgUPBOcEuQSIBFgEKwP/A9MDqwOJA2QDOAMHAtsCugKbAncCUQI0AikCKQIoAiECGAIPAfwB1AGVAUgA+wC0AHUAPAAJ/9n/p/9u/zL+9v67/oH+Sv4Z/fD9zf2r/Yf9Y/1D/Sn9Evz+/O383vzM/Lf8n/yO/In8jfyR/JD8i/yG/IP8f/x6/Hb8dPxw/GT8UfxC/Dr8Mfwc/Aj8HPx4/Qv9lf3Q/av9Tfzu/Kn8fPxd/FH8Xfx4/I78kfyD/HD8YPxT/Er8SPxM/FD8TPxH/Ej8Uvxd/GD8X/xk/G78c/xr/Fn8SfxC/D78Nvwr/CL8Hvwf/CL8Kfws/B779vvG+7H70vwc/F38a/xE/An74PvW+9z74vvj++D73fvY+9D7yvvH+8j7yPvF+8L7wPu/+737ufu0+7D7sPux+7L7svuw+7D7s/u3+7r7uvu5+737xvvR+9b71vvW+9376fv1+/r7+Pvy++v74fvU+8X7tfuj+477d/ti+1D7Qvs2+yv7IfsU+wX68/rh+tL6xPqz+p/6ivp4+mj6WPpI+jr6Mfov+jD6M/o1+jf6Nvoy+iv6Jfoh+hj6CPnw+dT5vfmp+ZX5fPle+UH5KPkP+PL4y/id+G/4SPgl+AT33ve294/3avdI9yn3DPbx9tb2uvac9n/2ZvZP9jb2F/X29dX1t/Wd9YX1cfVf9U/1PfUr9Rz1DfT59N30v/Sl9I/0ePRd9ED0JvQN8/Hz0vOy85nzg/Ns81DzNvMg8wzy8vLQ8qvyi/Ju8lHyMfIS8fXx2PG58ZrxffFj8UnxM/En8SbxI/EQ8OrwwfCq8KXwpvCe8IvwdPBf8EzwOPAn8BjwDfAE8ADwAPAC7//v8+/k79rv1+/T78vvwu++773vve+978Lvy+/T79Xv1u/c7+jv9e/67/vv/vAH8BLwG/Ao8EDwZfCS8MLw8PEW8SvxMfEy8TnxSfFb8XbxsPIg8rLzLPNV8yLywfJx8lPyYPJ/8qLyx/Lt8w/zK/NC81vzfPOj88nz5vP29AP0HfRP9JD0zPT39RL1KPU+9VH1aPWW9eH2NvZ09of2gvaB9ov2j/aF9oL2r/cO93T3pfeJ9zn25vau9pn2qPbV9w/3N/cx9v32tvZ19j72A/W69Wv1I/Tq9Ln0iPRc9D30K/Qg9Bf0EfQV9Cf0RPRn9JH0yPUP9Vn1lPWu9aP1gPVY9Tv1L/Uy9Tv1RfVO9Vf1YfVp9W71bvVs9Wv1avVp9WP1V/VD9S71G/UR9Qz1B/T49N30tvSO9Gz0VPRF9D70QPRK9Fn0ZvRo9F70TfRA9EP0W/SF9Lj05/UG9Q/1APTe9LP0iPRd9DH0BfPX86nze/NO8ynzDfLx8sbyhPI58gLx7/Hq8crxdvD98JHwWPBT8F/wVfAd77vvP+7A7lPuAO3A7YLtO+zy7LXsiexl7EDsH+wQ7BTsIOwm7CbsLexC7Fzsb+x+7JTstuze7P7tGe047WPtkO227dbt++4q7lruhO6w7ubvIe9L72PviO/p8I3xOPGd8ZfxT/EM8PrxEPEt8UHxVPFy8ZrxwPHe8fjyE/Is8jzyQvJF8kzyWPJo8nryjvKq8s/y/vMx817zgfOZ87DzzfP29Cj0X/SW9Mz1AfU49XD1q/Xo9ir2cfa89wr3Vvei9/D4QfiR+Nr5Hvlk+bL6CPph+rj7Eftt+8v8J/yA/Nr9OP2Y/fX+TP6j/vz/V/+xAA0AbQDUATsBngH8AlkCugMaA3UDzAQiBHoE1AUvBYoF4wY6BpAG6QdKB7QIJAiRCPcJUwmnCfIKNQpyCqgK2AsECy0LWguLC7wL6AwNDDIMWQyADKEMvQzaDP0NJQ1KDWsNjw26DecOCw4fDiwOPQ5XDnMOiA6XDqgOvw7ZDusO9Q77DwAPBQ8BDvIO3Q7RDtgO6w73DuoOwg6QDm8Oaw58DowOjQ6ADmwOUw4xDgQN0g2mDYcNcw1mDV0NXA1lDXcNjA2gDbINyA3mDhQOVA6lDwQPag/MECAQYRCWEMsRABEyEWQRpRIHEnwS1BLWEm8RyxEwEM4QoBCDEGAQNRAUEAUQChAlEFAQgBCkELIQshC1EL8QwhCtEHkQLQ/eD6gPrxAKEK4RbBIIEmESiBKnEtkTGxNZE4cTpBO1E8ET1hQJFGIU0RUyFWYVaBVDFQoUyRSPFGgUVBRBFBgT1hOQE10TQRMpEwISzBKPEk0R/BGUEKEQOg/oD6wPgA9kD1YPTw9CDyQO9g7DDpMOYQ4hDckNYAz1DJcMTAwQC94LtAuTC3kLZAtQCz8LNAstCy0LOgtXC4ALrQvXDAIMNQxxDKsM1wzsDOoM1wy6DKEMmwyuDM0M5wzxDPIM8QzrDNUMqwx3DEIMEwvmC70LnQuCC2MLNgsBCtUKvQq1Cq4KowqYCpAKiAp+CnkKiQq2CvkLQQuBC7gL6wwaDD4MUQxJDCAL0QtjCuIKWgnOCTUIiAfKBw8GawXmBXMFAgSKBBgDwAOQA4IDigObA6sDtQO0A6sDpwO2A9kEBwQ1BGsEswUMBWYFsQXxBjQGegasBrMGkQZkBkoGSAZRBlYGVgZPBj0GKwY9BpoHQQfxCF8IdAhkCHQItQj0CPYItQhdCBsH9QfSB6QHdQdRBzMHCAbGBngGKwXfBYkFIgSvBDsDyQNXAuMCbgH6AYQBDACTAB7/rf88/sr+Wv3t/YP9H/zM/Jn8jvye/LP8uvyt/I/8Z/xC/C78Ovxv/NH9Xf4R/t//rABSALYAzwCqAGQAHP/m/8j/u/+5/7//yv/H/5//SP7d/on+Zv5l/lz+Mv3t/aL9V/0M/MD8gPxU/C77/Pu5+3r7U/tI+0b7P/s2+y/7IPry+pf6GvmX+Sr41viV+Fz4KvgB99/3vved94H3cvdr91j3J/bd9pn2e/aH9qP2s/av9qT2ovaq9q32oPaA9k/2FfXX9ZX1SvTp9GrzyvMG8hzxEvAJ7zTutu6F7njua+5e7l7ua+5x7mHuR+457jfuMe4f7g7uC+4Y7i3uXe7F73LwP/EF8cjyu/P79U/2TPay9qf2ivaX9sD20va79pb2fPZs9lP2KPX49cv1nPVb9Qz0wPSJ9Gr0WfRJ9DT0GfP88+LzzfO/86/zmvOA82nzV/NF8yzzCvLn8svyufKp8o7yYfIl8efxtvGX8YbxffF88YDxhfGE8XrxavFc8VTxTvFK8UfxRfE+8SrxC/Dt8Nzw2vDa8M/wt/CZ8H3wZ/BW8E3wTvBg8IPwt/D28TbxbvGb8cLx5/IN8jHyUvJy8pPytvLX8vTzCfMS8w/zCPMF8w3zHvM181TzfPOh86LzXvLV8ivxj/Eb8MnwjfBt8HjwsPEE8VjxovHn8izybfKj8tDzAPM+84vz3vQp9Gb0m/TS9Rb1YPWl9dv2BfYw9mT2nPbW9xf3a/fU+EP4ovjt+TH5e/nO+iH6c/rG+yL7hfvp/E/8uv0t/aD+DP5v/s3/KP+A/9QAJwB+ANYBKQF4Ac8CNQKkAwoDWQOXA9QEHgR1BNIFLQWFBdgGJgZtBrAG9Ac7B4QHzggYCF4IoQjhCR8JYQmlCekKKgpoCqcK7gs7C4YLwgvpDAMMGww8DGEMfwyTDKMMrgydDFUL1AtOCw4LPgvIDGcM5A0yDV0NbQ1dDS4M9wzRDMQMyAzXDPcNMQ15Db8N+A4rDlwOig6zDuUPLQ+LD+sQPBB8EK0QuBB9D/UPPQ5kDUMLmwl0B1kGEwYTBxsIegmYCkcKrQryCxkLGgsBCugK1gq7CokKSwoVCe4JxgmICTAI1AiQCHEIaAhQCA8Hpwc7Bu0GxwaxBpAGXwYpBfoFzgWcBWcFOAUXBPwE3gS3BIwEYQQ3BAwD4gO8A5UDagM9AxUC8wLTAq4ChgJnAlkCVQJTAksCPwIwAhcB6wGsAWIBFgDPAI4AVQAj//T/wv+L/1L/Gv7i/qn+cP49/hX99P3V/bP9kP1u/U/9Nf0f/Q/9APzt/NP8uPyk/J78oPyi/J/8mPyS/Iv8gvx7/H38i/yb/Jz8jfx7/HP8bfxW/C38GvxP/Nj9hf4I/jP+C/2z/Uj82vx7/ET8Qfxi/IL8ifx6/Gj8XfxV/E/8TPxQ/Fb8WPxV/FP8V/xg/Gb8avxv/Hb8efxy/GH8UPxD/Dz8Ovw8/EH8Qfw5/C/8MPw9/ET8MPwF++D74/wN/D78Ufw+/Bn7+/vu++v77Pvx+/r8A/wD+/j76/vk++X75/vm++H73Pvb+9z73Pva+9f70/vQ+8z7yvvI+8r7zvvS+9X71PvT+9b74Pvt+/b7+vv7/AH8C/wW/B78Ivwk/CT8HvwQ+/375/vT+777qvuW+4T7dPtm+1n7TvtC+zH7GvsA+ur62frJ+rf6ovqN+nz6bvpi+lb6TPpH+kf6SvpO+lP6VfpT+k36Rvo/+jf6KvoW+f355fnP+br5ofmF+Wj5Tfk0+Rf48vjH+Jr4cPhK+CX3/vfX97D3jPdp90j3KfcL9u72z/aw9pL2ePZe9kP2I/YD9eX1y/W09Z/1jPV89Wz1XPVK9Tn1JvUP9PH00fS09Jn0fvRi9Eb0LPQS8/bz2fO/86vzmvOG82vzUfM68yPzBvLj8sDyofKF8mbyQ/Ih8gHx4fHA8aHxiPFx8VnxP/Et8SjxJfET8O/wxvCq8J/wnPCV8IbwdfBl8FPwQfAv8CHwGPAR8BDwFfAX8A/v/e/q797v2e/R78Tvu++778HvxO/C78Lvye/S79Pvy+/F78jv0u/a797v5O/v7/7wC/AX8CXwOvBZ8IPwtvDn8QnxFfEU8RfxIvEv8T7xZfHA8k/y5PM/80Hy/PKk8mXyUPJd8nvyoPLE8ufzCfMs81DzdPOZ87zz2fPq8/X0C/Q79H/0wfTw9Qv1HvUv9T71UfV49br2B/ZB9lT2UvZU9mT2cPZs9mr2ivbU9yr3XPdW9yT24faf9mv2V/Z09rX28vcA9tb2kPZO9hn14/Wj9V/1KPUE9Or0z/Sw9JP0evRi9Ev0O/Q79Ez0Y/R79Jj0xPUF9U/1ivWl9Z71g/Vj9Uv1QPVB9Ur1VvVi9Wv1c/V89YT1ifWI9YD1cvVh9VH1RPU59S/1JfUd9Rj1E/UI9PD0zvSq9Iz0ePRr9Gf0avR49Iv0mvSc9JH0gfR69In0rvTf9Q71L/U79S/1D/Tj9LP0iPRh9Dr0EPPi87DzgPNT8y7zEPLw8sHyf/I58gbx8fHk8bvxY/Dz8JfwbfBo8GHwOu/u74/vLu7W7ofuPe3z7aHtSOz07LDsfexQ7CfsB+v97AXsD+wR7BHsG+w07E3sWuxh7HLsk+y77Nzs9+0Y7UPtcO2X7bnt4u4Q7j3uZe6T7s7vB+8q70DvgfAk8Rnx//Jk8ibxjfEH8Nfw7vEW8THxRPFg8Ybxq/HJ8eHx+fIP8h3yI/Ik8ibyLPI18kPyV/Jv8o7ysvLb8wXzK/NN823zkfO/8/T0LvRn9J701fUN9Uj1hfXC9gL2RfaN9tb3Hfdi96r39/hD+Iv40fkf+Xn52vo5+pH65vs/+537+vxS/Kn9Bf1j/b7+FP5r/sT/IP97/9gAPAClAQ4BbgHJAiUChgLpA0cDnwP2BFAErQUJBWEFuAYQBmsGzQc3B6cIFwh+CNkJKgl1CbkJ8woiCksKcwqgCtELBgs5C2gLkwu9C+gMEww6DFoMdgyTDLcM2wz6DRYNNw1hDY0Nrw3BDcwN3g36DhkOMw5IDmAOfQ6WDqUOqA6nDqcOpQ6XDn4Oaw51DqcO7Q8dDxMOzA5rDh8OAw4ODiQOLQ4lDhAN8w3ODaMNeQ1XDUENMg0oDSUNLQ1ADVgNbw2GDZ4Nuw3fDgoOQg6KDuIPQQ+YD9wQDBAyEFkQfxChEMUQ/xFbEcgSFBIKEaURFBCbEFwQTBBFEDIQGhAKEAkQGBAzEFkQgBCaEKEQohCwEM8Q6RDlELQQaBAiEAsQPRC3EVwR+RJpEqUSxBLmExQTQBNdE2oTbxN2E4sTvhQdFKMVLBWNFawVkRVZFRsU3hSkFG8UPhQJE8kTgxNMEywTGRL6EsESdhInEdYRfBEREEAP7w+vD30PVg88Dy0PJA8QDusOtQ57DkQODQ3KDXINCgyiDEoMBwvTC6ULewtZC0ILMwslCxgLEAsPCxgLLAtKC24LlAu5C+MMGAxVDI4MuQzPDNMMxgytDJMMhgyQDKoMxwzdDO0M+gz8DOcMuAx9DEcMHAv4C9YLtQuWC3ALPQsECtIKtAqnCqAKlQqICnwKcgprCm4KhAqxCvELOwuIC9EMCwwtDC4MEAvbC5YLRArmCoUKJQnJCWcI8whtB+UHawcBBpYGGwWPBQgEnARPBBwD+QPsA/QEBQQLA/8D8QP6BCAEVwSSBNIFIgWEBecGPgaIBskG/wcWBwEGzQaVBnIGZgZoBm8GdQZvBlcGPQZPBrAHVQf6CFkIZghRCFQIdQiNCHkIQAgFB+EHyAeiB24HPwckBxAG6AajBk8F/wW2BWYFAgSOBBcDpAM0AsECTQHaAWkA9gCCAA7/mf8n/rb+R/3X/Wb8+Pyd/GP8TPxH/Dz8HPvq+7L7e/tL+yr7I/tD+5T8GvzT/bP+mv9h/+gAIgAe//z/1/+8/6P/h/9r/2P/eP+W/5X/Xf8D/rP+jP5//mf+MP3p/aj9cP0z/On8n/xl/Dj8BfvF+4L7UPs5+zT7OPs/+0D7LPr1+pr6LPnA+V75BPiv+GT4Kff899X3qvd891b3Qfc09xr25vag9mj2XfZ/9q72xva59pX2c/Zh9l72XPZQ9jT2CvXU9ZL1OPS+9CPzcPKn8b7wuu+87wHuru6x7s7u2O7O7sju0e7W7sjur+6d7pLuge5k7kfuMu4X7ezty+3u7m/vMO/98NDx2PMy9KD1rPYR9f/16fYY9nP2t/bD9qr2jvZx9kX2CvXS9az1jfVd9Rj01fSs9KD0nfSN9Gz0Q/Qf9AXz8/Pk89Pzv/Op85bzhPNu81DzKvMG8uvy3PLL8qfya/Ig8dnxpfGG8XTxbPFv8X7xkfGZ8ZLxg/F48XLxbPFf8U7xQPE18SbxEfD88PXw+/EC8Pzw5/DJ8K/wmvCI8Hnwc/B+8KDw1vEV8U3xePGb8cPx+PIx8mHyf/KS8qbyw/Lo8w3zKfM28zXzLfMs8zjzS/Ng83XzkfOp85zzSPKn8ePxNPC68G/wPvAk8C3wX/Cs8PzxR/GT8ebyO/KJ8tTzJ/OL8/j0WPSe9M309/Uu9XT1wfYC9i/2S/Zj9oH2qPba9xn3bPfS+Dz4nvjx+T75j/nn+kL6ofsD+2X7wvwa/HT82f1I/bf+Hv5+/t3/Pf+Z/+4AQQCWAOoBOgGJAeQCTgLAAyQDcQOuA+sENASGBNwFMgWJBd8GMAZ4BrcG+Ac+B4gH0ggYCFwIoQjnCSwJbgmwCfIKNAp1CrcK/AtFC4oLvQvZC+gL/AwhDE4MdQyPDJ8MnQxuC/sLUgq4CnwKvwtbDAgMkgzvDSUNNA0ZDOEMsgyqDMYM7g0WDUQNgw3KDgcONA5cDokOtQ7cDwcPSg+oEAkQVBCDEJ0QkxBID7QO8w4dDRMLjwmIB3oGLQYgByAIgAmeCksKrwr2Cx8LIgsKCvQK6grXCqcKYQohCfYJ0wmfCVAI9girCIAIbQhUCB0HyAdrByIG8wbNBqAGbAY+BhoF8wW9BXoFQAUaBQQE7gTPBKsEiQRnBEIEGAPtA8IDlgNpA0ADGwL4AtUCsgKYAokCggJ7AnECYgJMAikB9wG5AXQBLgDoAKUAbAA7AA//3/+q/3T/QP8M/tX+nP5o/j7+Hv4B/eH9wP2d/Xz9X/1H/TT9I/0N/PH80/y8/LL8sPyw/Kv8pPyd/JX8jPyF/In8nvy3/MP8uPyl/Jf8jPxy/EH8GPwo/Iv9Kv3I/jL+Uf4l/br9J/ya/EP8NvxY/Hz8hPx1/Gb8X/xc/Fb8U/xZ/GT8a/xq/Gb8aPxx/Hr8f/yB/IH8fvx2/Gn8WvxM/EL8QPxK/Fn8YPxW/ET8PfxL/GD8ZPxM/Cj8D/wO/Bz8Kvwz/Dj8Ovwz/CD8DPwF/BH8I/wt/Cb8GPwP/A/8EfwO/Af8APv9+/37//v++/r79Pvu++r76Pvo++f76Pvr++/78/v2+/n7/vwF/A38EvwX/B78KPww/Db8O/xF/FD8VvxP/Dv8H/wD++z72fvI+7j7qPuZ+4z7f/tw+1z7Qfsi+wf68vrh+s/6ufqj+pH6g/p4+m/6Z/ph+mD6Yfpk+mn6bfpu+mv6Zvpg+lj6Tfo9+ij6EPn3+d35wvml+Yn5b/lV+Tn5F/jw+Mb4m/hx+Ej4Iff799f3tveV93X3VPcw9wv25fbD9qf2kPZ59l/2QfYh9gX17fXW9cD1qfWU9X/1avVV9UH1LPUU9Pn03PS/9KT0ivRv9FX0PfQk9Arz7/PZ88nzufOl84rzbvNS8zTzE/Lv8s/ytPKY8nfyUfIu8g7x7/HQ8bPxnPGJ8XDxU/E58SvxIvEQ8PDwyfCq8JfwivB+8HHwZ/Bf8FTwRfA38CvwI/Ad8B3wIPAf8BLv/O/p7+Dv3O/S78Dvs++178Hvx+/E77/vwe/I78nvv++077Dvte+778Pv0O/j7/jwBvAM8A/wFfAk8ETwc/Cq8Nbw7vD18PvxB/ET8R/xOvGB8gHynfMd81PzNfLj8ozyU/JE8lXydPKV8rjy4fMP8zvzYPOB86PzxPPd8+70BPQw9HD0sPTe9Pn1DvUm9T/1WPV59av15PYQ9iH2JPYu9kP2VfZX9lj2cvaq9uz3F/cb9v72xvZ59ib18fX69kD2lvbC9qz2a/Yn9fX10fWu9Yr1bfVa9Ur1NfUb9P704fTE9Kf0lfST9Jz0pfSr9Lf02fUV9Vr1jvWh9Zj1gfVp9Vb1S/VJ9VP1YvVx9Xr1ffWA9Yj1kvWY9ZT1gvVn9U71QPU+9UL1RfVC9Tz1NPUm9Q/08vTV9L70rfSi9J30oPSt9L70zPTR9M70zPTT9Or1DfUx9Uv1VPVL9TT1EvTr9ML0nPR49FL0JfPw87fzgvNU8y/zD/Lt8sDyhPJD8g3x6fHJ8ZXxRfDw8LfwofCX8HHwI+/A72bvJe717sTuhO4w7crtXuz87K/sd+xJ7CDsAevz6/Xr++v86//sDewn7D7sR+xL7FrseOyd7L3s2uz+7SvtWO1+7aHty+367iXuS+537q/u5e8G7yPvefA58UjyM/KF8ijxcfDe8K7wy/D68RnxLPFH8WvxjvGq8cHx1/Hq8fTx9fH08fTx+vIE8hTyKvJC8lvyc/KQ8rHy1fL78yTzUPOF88Dz/fQ49HD0p/Tf9Rz1W/Wa9dn2GfZd9qL25/cq93D3uvgF+Ez4lPjk+UT5qvoL+mL6tPsN+2z7yvwi/Hn80/0w/Yv94v44/pL+7/9L/6gACgBxANcBNgGRAe4CUQK3AxcDcQPMBCkEhwTjBTkFjwXoBkgGrwccB4sH9QhUCKYI8Qk2CXQJpQnMCe4KFgpICoAKuArpCxULPgtoC5ULwAvnDAgMKAxLDHEMkwyvDMgM5g0MDTINTg1fDWwNfw2bDbsN2Q33DhUOMg5FDkwOTA5RDlkOWg5JDisOHA44DoYO5Q8eDwgOow4fDbQNhg2ODawNwg3CDbANkQ1qDUQNIw0ODQAM9gzxDPYNCA0jDT4NVQ1sDYsNsQ3ZDgEOLQ5nDrQPCQ9YD5EPtQ/ND+EP9BACEBAQLhBnEK4Q3xDZEJoQRhAJD/UP+hACEAAP/BABEBAQJRBAEGIQgxCXEJsQmxCsENYRAxEREO0QqhB0EHkQyRFTEekSXxKmEsoS6RMPEzMTQxM9EzMTOhNgE6gUEhSZFSkVnBXQFbwVexUuFOsUrhRwFCwT4xOWE0oTCxLmEtoS0BKtEmcSCxGvEVYQ/RCeEAwPyg+TD2MPOQ8YDwEO7w7ZDrYOhA5GDgMNuw1rDRAMrAxMC/wLwAuRC2YLPAsbCwkK/wr3CuwK5QrpCvsLFws4C1gLdguWC7sL6wwjDFoMhgykDLYMvAy2DKcMmQyWDKAMsAzCDNUM5gzpDNIMogxpDDgMEwv0C9MLsQuOC2YLNQr+Cs0KrQqfCpcKjgqACm8KYgpeCmoKiAq1CuwLKQtoC6UL0wvkC88LmQtRCwQKuQpwCioJ6QmqCWkJHgjICHAIIgfaB4gHHwakBioFwwVqBRMEwQSGBG8EbgRlBEkEKgQpBFEElATdBSoFgQXlBksGpwb2BzYHYAdkB0IHCwbWBq4GlgaLBo0GlgaWBoEGbQaCBt8HbAfuCDQIPAguCCwILwgfB/EHugeWB4kHfAdcBy4HCAb1BuQGvAZ1BiEF1AWQBUQE4wRvA/gDhwMaAqsCOAHFAVcA7QCCABH/nP8n/rf+TP3h/XH8/vyY/E78IfwB+9T7kvtC+vj6vvqX+n/6ePqK+sH7KfvL/KP9lP5z/xb/bv+K/4//lf+e/5f/c/9A/yH/Lf9W/3H/X/8n/ur+vf6S/lP+Af27/Zr9kv14/TL8y/xk/BT72fum+3T7Sfsq+x/7J/s6+0T7Lvru+pD6LPnQ+Xb5Gfi5+Gb4Kff999H3nPdm9zv3JPcW9vz2y/aP9mT2YPaA9qb2svaZ9mn2PfYm9iX2K/Yp9hb18/XA9Xj1D/SC89vzK/Jw8ZTwj++G7r/ubu6F7sLu7O767wPvFe8k7yPvFe8G7vPu0u6o7oLuZO437eftj+1s7afuMO7h77PwyvIw8530nvT+9P31EPVy9f72ZfaH9oP2ffZ29lf2HfXf9bP1kvVj9SL05vTJ9Mz01fTM9Kv0f/RZ9Dz0JvQT9APz9/Ps897zx/Op84LzVfMn8v/y3fK98pPyV/IQ8c7xnfGA8W/xafFz8Yvxp/G18bDxofGV8ZDxifF48WLxTvFB8TPxIvET8Q3xEPET8Qvw+vDo8Nzw1PDI8LbwpPCf8Lbw6vEt8WvxlvG18dvyEvJT8oryqvK58sXy2PL08xTzNfNR82PzavNt83XzgvOS86TzufPC853zJ/Jg8XvwufBA8ATv5+/a7+fwFPBY8J/w4vEt8Yfx7PJT8r/zO/PM9Fz00vUf9VD1gPW/9gv2VfaP9rD2vPa/9sL20fb29zT3iPfo+Er4pvj9+VL5qPoE+mr62/tR+778GPxk/LH9Cv1t/dD+LP6I/un/Tf+sAAMAVgCpAP0BTgGgAfsCYwLOAy8DgQPJBBEEXgSqBPUFQQWVBe0GQQaKBscHBQdKB5UH3ggjCGcIrwj7CUQJhwnECgQKRwqLCs4LEQtUC40LsAu9C8QL2wwKDEEMbAyGDI8Mfgw0C58K3Ao+ChUKcwsfC8kMQQyIDLAMvwyzDJsMlQy2DPQNNQ1sDaIN4g4hDlAObw6MDrEO1g70DxYPVA+yEBMQWhCDEJgQjRA+D50Oyg3tDPMLlgm4B7wGYgY6ByYIfgmcCkgKqQrwCyMLMgsjCw8LAwrtCroKcQosCfwJ2QmpCWIJDwjHCJcIfQhnCEIIBge5B2wHJAbgBqIGcQZVBkYGLAXzBaMFWAUkBQgE8QTXBLsEowSKBGkEPQQOA+EDuAOOA2MDOgMUAvQC2wLHArYCpgKXAogCdgJcAjUCAAHEAYcBRwEEAMEAhgBVACn/+v/G/5L/Yv80/wP+z/6e/nT+Uf4w/g797P3N/bH9l/1//Wf9Tv0x/Q/87vzV/Mj8xPzA/Lj8rvyl/J/8nPyc/KP8tfzK/NT8y/y2/KL8j/x1/E38Jvwg/FH8tf0y/ab98v38/bb9Nfyu/Fv8UPxt/IT8gPxu/GT8Zvxn/GH8Xfxl/HP8e/x4/HP8dPx8/IT8hvyC/H78efx1/G/8Zvxa/E38SPxS/Gf8ePx5/Gz8Yvxn/Hb8gPx3/F38PPwh/BX8Hfw8/Gj8ifyL/Gz8Qvwp/Cz8P/xO/E78Rfw//D78Pfw3/C78Jvwi/CL8Ivwh/B78GvwW/BT8FPwS/A38B/wF/Az8F/wf/CL8IPwd/B78Ifwo/DP8P/xH/Er8TfxY/Gv8ffyD/Hb8Wvw7/B78CPv1++T71fvG+7b7pvuU+337YvtF+yn7Efr8+uj60vq8+qj6mPqN+oX6f/p9+nv6e/p7+nz6fvqB+oL6gvp++nf6bPpe+k36OPof+gL55PnG+ar5j/l0+Vb5N/kU+O74w/iX+Gz4RPgg9/733/fC96T3hPdf9zT3CPbi9sb2sPab9oL2Y/ZD9iX2CvXw9dX1ufWb9X/1ZPVM9Tb1I/UP9Pv05fTP9Ln0o/SN9Hf0YfRK9DD0FvP+8+rz1/O/86HzgfNe8zrzFfLy8tbyvvKj8oDyW/I58h7yBfHp8c7xuPGm8Y/xcfFT8TzxKvEU8PXw0vC08Jzwh/B18GfwYPBc8FTwSPA88DLwKfAg8BrwF/AS8APv7+/g793v3O/R773vre+t77nvwO+977bvs++177Tvre+m76bvq++x77jvxe/a7+/v/O//7/3v/PAB8BLwM/Bj8JbwvvDZ8O3w/vEK8RLxI/FW8b7yT/Lg80DzTvMR8rDyXPIz8jXyTfJp8ojysfLk8xfzP/Nh84bzsPPU8+70B/Qw9Gr0pvTR9Or1AfUf9UP1Z/WJ9a310fXt9fv2BfYX9jD2Q/ZJ9k72Y/aO9r/23/bo9tb2qPZY9fb1q/Wl9ev2UfaY9pn2ZPYi9fT13/XY9dL1yPW89ar1k/V49Vz1QPUk9Qv0+vTz9O303/TO9Mz07PUs9XL1nvWl9Y/1cvVa9Un1P/U+9Un1XfVu9Xf1ePV49X71jPWZ9Zv1jvV19Vz1T/VS9V31ZvVo9WT1XPVP9Tr1IPUF9O702vTK9MD0wPTK9Nn06fT39QT1FfUp9T/1U/Vf9V/1U/U/9Sr1FPT79N70vvSa9HD0PPP+87/zh/NY8zHzD/Lr8sDyifJL8hHx4fGz8XvxOfD+8N3w0PC38HHwBe+V70rvK+8g7wnu1O597gvtje0X7LrseexK7CLsAevs6+Xr5+vq6/Dr/+wU7CXsK+ww7D/sW+x77Jnsuuzk7RjtR+1s7Y7tuO3n7hLuNu5d7pDuxO7o7wvvW+/+8Nnxj/HH8Xfw7/CP8IHwqPDU8PDxBfEi8UbxZ/GB8ZjxrPG68b7xu/G48bzxxvHW8ezyBfIc8jDyQfJV8nDykvK58uTzFfNO84zzzfQL9EP0efSx9O31LfVt9av16fYq9m/2tfb690L3jffY+CH4aPi3+RT5d/nW+iz6gfrd+0D7ofv7/FH8qv0G/V/9tP4J/mT+wv8g/3v/2QA7AJ4A/gFcAbsCIAKGAugDRQOgA/0EWwS1BQ0FZwXGBioGkgb7B2IHwwgaCGYIrAjsCSMJUQl2CZwJygoACjoKbwqdCsUK6wsTCzwLZAuJC64L1Av9DCUMSAxkDH0Mmgy7DNsM9Q0IDRkNLg1GDWANfA2bDbsN1w3mDesN7w34DgIOAg3xDd4N4w4UDmkOuQ7TDpwOJA2YDS0NAA0MDTANTw1XDUkNKw0IDOkM1AzJDMMMvwzADM4M6A0HDSQNPA1XDXoNpA3MDfAOFQ5GDocO0g8VD0QPXg9sD3cPgg+MD5MPnA+wD8oP3Q/dD8sPtw+vD7cPww/KD9AP3Q/4EB0QRhBvEJcQtxDEEL0QrxC0ENgRDREwESkRAxDkEPkRTxHNEkcSmhLFEt4S/RMkE0ITSBM9EzsTXhOxFCsUuRVDFa0V3BXCFW8VCBStFGgUMhP6E7kTbxMfEtISlxJ5EnISZxI+EfIRlhE+EO8QpRBXD/UPtQ97D0YPFA7oDsUOqw6WDn0OUw4UDcENZA0GDKoMTwv6C7MLfgtUCywLBgrpCtwK2QrVCssKwwrHCtoK9wsXCzQLTwtqC4kLsAvgDBMMQwxtDJAMrQy+DMAMuAytDKUMoAyiDKgMrwyrDJQMbQxCDB8MAQviC7sLkwttC0gLHwrzCswKsgqlCqAKmQqMCnkKaAphCm0Kiwq1CuILDQs2C1wLdgt7C2QLMwrxCqsKagovCfcJvQmBCUQJBgjJCJEIZAg8CAsHxwd0ByMG3gaXBj4F2AV+BUMFHgT2BL4EiAR1BI8EyAUMBVcFrAYMBmsGwQcLB0UHaAdpB08HKQcFBuMGwwauBqoGswazBqMGmAa1BwQHage3B9kH4QfoB/MH7gfFB4MHSAcrBycHJQcTBvcG3QbKBrMGhQZBBfMFqwVpBR8EvwRNA9gDagMDApgCJgGzAUkA5wCHAB7/qv8y/r7+Uv3o/Xr9BvyX/Dv79fu5+3L7Gfq3+mT6LfoW+hf6JPo3+lf6lvsM+8n8uv2t/mz+2v8I/yD/QP9l/3X/Xf8r/wL+//8b/zn/Pf8p/wr+4/6h/j390P2N/Yz9sf28/Xz89/xa+9j7hftY+z77KPsR+wT7Cvsf+yv7FfrV+nn6GvnD+Wv5C/it+GL4LfgD99L3l/dg9zz3KvcZ9vn2xfaP9mv2ZfZz9oH2efZa9jL2F/YT9iD2K/Ym9g715fWt9V305/RQ867zFPJ18azwo+9+7o7uGO4b7lvum+7G7urvD+8w70TvS+9L7z3vFu7c7qTudu4+7ejtgO007S7tb+3p7qbvu/Eb8nTzZPPQ9AH0XvUF9bz2N/Zk9m/2hPaf9qD2evY+9gX10/WX9VD1EPTr9OT05vTc9ML0ovSF9Gv0UvQ99DP0MvQw9CL0BfPh87vzkPNb8x7y5PKy8ofyWvIm8fDxxPGl8ZTxkPGc8bXx0PHe8djxxvGz8aPxlfGG8XjxbvFn8V3xTPE78S7xJPEZ8Qvw+/Dy8PPw9/D28Onw1fDF8M3w+fFA8Y3xxvHq8gjyMPJl8pnywvLe8vHzAPMN8x/zPvNp85Tzr/O487rzwvPS8+Xz8PPf85Xy9vIN8RHwR+/T76bvm++c76/v3fAc8FnwlPDa8TjxqfIh8p/zMfPW9Hv1AvVf9aP15/Y59o722PcL9yf3Lfcg9wz3Bfce91z3s/gR+Gz4wvkZ+XH5yvon+pP7E/ua/BT8cfy3/Pr9Rf2Y/er+O/6R/vP/WP+3AAwAXQCyAQkBXwG0Ag4CbgLRAzEDjQPmBD4EkQTbBR4FZAWxBgYGWAagBt4HGgdcB6MH6gguCHUIwQkQCVsJnQnaChoKYAqnCuwLLQtoC5QLpwuoC7AL0wwODEgMawx3DHQMVgv9C1oKkwoBCe0KWwsHC50L9gweDDQMSQxgDH0Mrgz1DUUNig2/DfEOJw5aDnwOkw6tDtAO8g8IDyIPWg+0EBMQWRCEEKAQnxBXD7IO0Q3tDQMLzAoVCCUGtgZmBzIIfwmeCkkKpgrtCyoLSgtFCy8LFQrzCrsKcwoxCgIJ2gmnCWMJGAjWCKYIhQhuCFUILgfwB58HQgbpBqEGeAZvBnMGYwYrBdMFegU4BREE9gTfBMkEtQScBHgESQQYA/ADzwOuA4YDWwM0AxgDBQLzAt4CwQKkAosCdgJdAjgCCAHRAZkBYAEiAOMAqAB1AEUAFP/g/63/gf9X/yz+//7U/qz+hv5f/jn+Fv38/ej91v2//aL9fv1W/S79C/zy/OT83fzW/Mz8vfyx/Kz8sPy4/MP8zvzW/Nj8zvy7/KT8jvx4/GL8UPxH/E78avyf/Ov9Of1k/U79Avyt/ID8gvyU/JX8gvx1/H38jvyT/In8fvx+/If8ivyE/Hz8e/yB/IT8gfx6/HX8dPx4/Hz8evxw/GH8Wfxg/HT8ivyU/JL8jPyJ/Iv8jPyH/Hn8YvxE/Cz8K/xM/IP8sPy5/Jv8bfxP/Ez8Wvxo/G38bPxr/Gr8Zvxe/FT8TvxL/En8SPxI/Ej8SPxI/Ef8R/xD/Dv8MPwq/C/8PPxI/Ez8Rvw+/Dn8OPw+/Er8V/xg/GL8Yvxn/Hb8jPyb/Jr8ivxv/FL8N/wf/Ar7+Pvo+9j7xfuv+5j7f/tm+0z7MfsX+v/66frU+sD6r/qj+pv6mPqW+pX6lPqS+pH6kfqT+pb6mPqW+o76gvpz+mP6Ufo7+iH6A/nm+cv5sPmT+XP5VPk0+RL46vi++JP4a/hH+Cb4Bvfr99H3tveT92n3O/cQ9uz2z/az9pb2dfZS9jD2EfX09dj1ufWa9Xz1YfVK9Tb1JfUW9Qj0+fTp9Nj0x/S29KP0jPRz9Fj0OvQe9APz6fPN867zi/Nl8z/zGvL68uHyyfKs8oryaPJN8jjyI/IK8e7x1fHA8anxjvFw8VTxOfEc8Pzw3vDD8K3wlvCA8G/wZvBf8FXwSfA98DLwJ/AZ8AvwAu/67+7v4O/W79Tv1O/K77jvqe+l76zvse+u76nvpe+i753vmO+Z76Pvru+077fvve/J79jv4+/q7+3v8O/y7/jwCfAr8Fvwj/C98N/w9PD+8QHxCfEr8Xnx9fKI8wbzQfMl8svyZ/Ip8hzyLvJF8l3ygPKy8unzGvND827znvPM8+/0DPQz9Gj0ofTN9On1APUf9UX1bvWT9bL1y/Xb9eb18/YJ9iP2NvY99kT2V/Z59p72uPbE9sD2ofZg9gX1tvWi9dj2N/aG9pr2dvY+9hT2BfYI9gz2CfX+9ev11fW+9af1kPV69WX1U/VA9ST0/PTV9Mv07/U59YX1rfWm9YD1WPU79Sr1IPUe9Sb1NvVI9VX1XfVl9XD1ffWJ9Y31hfVz9WL1W/Vg9Wn1cPVx9XD1bvVp9Vr1QvUm9Qn07PTT9MP0v/TJ9Nv08fUJ9SX1QvVY9WT1ZfVc9Uv1N/Uk9Rj1EvUK9Pr03vS39If0TfQN887zmPNt80fzIfL48sjykPJT8hzx7fHB8Y3xUPEY8PTw2PCo8E7v1+9x7z3vOu9G70DvF+7J7lvt1+1P7NzsiexS7CjsA+vo69rr2Ovc6+Tr7+v97AbsC+wS7CLsPOxY7HTsluzE7PztL+1X7Xztpu3W7gHuI+5F7nLuo+7N7vPvLu+U8BfwgfCk8IPwUfBA8FnwhPCl8Lrw0/D08RjxNfFN8WTxePGE8YXxgPF/8YfxlvGq8cLx3PH08gbyF/It8krybfKS8rvy6fMg817znfPb9BX0S/SC9L30/fU+9X31uvX69j/2h/bO9xb3YPer9/X4PviN+Of5Rvmj+fz6Vfq2+xv7fPvW/Cz8hPze/TT9iP3e/jr+mv75/1X/sAAQAHEA0QExAZEB9AJYAroDGQN2A9EEKQSCBN4FQAWoBhAGdgbZBzcHkAfgCCcIZgieCNAI+wklCVMJhwm+CfUKJgpQCnYKmwrACuULCgsvC1ULgAusC9QL9gwSDC4MTAxqDIcMoAy3DM4M5Qz6DQ0NIQ06DVcNcQ2FDZINmw2gDZsNjg2FDZYNzA4eDmgOgg5bDfkNfQ0JDLwMnwysDMwM6AzvDOEMxgyrDJcMjAyGDIQMhwySDKcMxAzmDQYNJg1HDWwNkg22DdgN/Q4rDmEOmg7LDu0PAg8QDyAPNA9JD1gPXw9fD1wPWw9eD2cPdw+LD58Prg+5D8gP4hAPEEoQixDHEPQRCxEIEPAQ0hDEENYRBhE6EVgRXBFbEXcRvRIeEnwSvxLlEwATHxNFE2gTgxOZE7kT8hROFMUVQxWoFdcVvxVoFO4UdxQbE9sTrhOFE1UTGRLREoQSRBIeEgwR9hHHEYARMRDsELIQeBA5D9YPkQ9SDxYO3Q6oDnkOVw5BDi4OCw3KDWwNAQydDEYL+AuvC3ALQQscCvoK2QrCCroKvAq7CrMKqgqsCrwK1AruCwgLIgs6C1ILbguTC8EL8wwlDFUMgQyjDLYMuQywDJ8MjAx8DHEMaAxcDEgMMAwZDAYL8AvPC6QLdgtNCywLDgryCtoKyQq/CrsKtwquCp4Kigp6CngKhQqfCsAK3wr5CwsLEwsQCv4K2gqlCmgKLQn5CcYJjAlKCQkIzwigCHwIZQhUCD4IGwfuB8UHpQeBB0YG8AaVBkgGBwXCBXIFKgT/BPkFDgUzBWkFsQYCBk8GkAbHBvQHEQcYBxEHBgb4BuMGyAa2BrUGvAa4BqgGpgbKBw0HSAdiB2cHeQejB8wHzQeaB0wHCAbkBtkG2AbRBsIGqwaQBm0GQAYFBcEFewU1BOgEiQQbA6kDPwLdAnkCDQGeATgA3QCGACX/tf88/sX+VP3n/Xf9BPyU/C771/uG+y/6zPpk+gz50/nD+dT59voV+ij6QfqK+yX8DP0L/d7+Xf6Z/r3+6v8d/zz/Nv8U/vL+4/7l/ur+6/7s/u3+3f6j/jz9yv2F/Yj9uf3V/aT9IPxw+8z7V/sW+vr67Prh+tv64Prx+vz66vqy+mD6Bvmq+Un45fiN+E/4Jff998b3ifdb90b3Pvcr9wD2xfaQ9nD2ZvZk9ln2QvYj9g32DfYj9kH2UPZD9h716fWn9U300fQ986zzL/Kt8fHw3++a7nzt0+2s7dXuFu5R7ofuve7s7xHvL+9I71DvOO8A7rvuee427eftj+1C7RntIO1k7f7u+/A98XPyUvLZ803z+fTg9b/2UvaQ9qX2ufbR9tj2wPaU9mH2KvXp9Z/1V/Ud9PX01vS99Kn0mvSM9Hf0X/RM9Ej0TfRN9Dv0HPP/8+rz0fOk82HzGvLh8rzynvJ38kfyF/Hz8d7x1/Hb8ejx+PIC8f3x6vHO8a/xl/GI8YXxivGN8Yjxe/Fs8V3xTPE58SXxFPEJ8QXxBfEH8QfxAPD18PPxD/FN8Z3x5PIR8inyQPJm8pnyz/MA8yTzNvM58z7zV/OI87/z4/Pt8+/z+vQR9B/0DvPN80/yjvGb8Kjv7u+L72zvbO9174zvue/08C3wY/Co8Qvxg/H/8nzzBfOj9Ej02fVJ9af2BfZr9sr3FfdH92H3Z/dX9z33LvdD94H32/g5+JL45/k/+Zn58fpL+rX7NvvD/EP8pfzv/TL9eP3A/gb+Tv6k/wb/av/GABcAZwC8ARUBbQHDAhsCdgLVAzYDmAP7BFsEswUCBUkFjwXWBiIGbQa0BvQHLwdsB60H8gg7CIYI1QkkCWwJrAnqCi4KdwrBCwULQwt3C5kLpQuoC7sL7AwsDFsMaQxiDFIMLAvOCy4KeAn9CfsKZwr+C3gLvAvaC/UMHgxZDKEM9Q1MDZsN2A4EDi0OVg55DpAOow6/DuYPCA8cDzQPaA+/EBwQYhCOEKwQshB1D9oO/Q4cDT4MHwp/CJIHBgaLBzUIegmhClMKrQruCy4LVgtXCzsLFQrnCq0KbQo0CgcJ3QmoCWcJIwjkCKwIfAhVCDYIFwfnB6AHRwbvBqsGiQaFBosGfQZHBfIFlwVRBSQFCATxBNwExQSmBHoERwQZA/oD4gPIA6QDewNXAz4DLAMZAv0C1gKsAoYCaQJPAjACBgHVAaIBbwE6AQQAzwCcAGcAMf/7/8r/n/91/0v/If76/tX+sP6K/mL+QP4m/hX+Bf3v/c/9o/10/Uf9Jv0P/QH8+Pzv/OP81PzH/ML8x/zS/Nz83/zd/Nj80vzG/LP8nfyL/IL8gfx9/HD8XfxY/HL8pfzR/Nn8v/yh/Jz8qfyv/J/8j/yZ/MD85/zt/NT8tPyi/J/8nfyU/Ir8h/yI/Ij8gvx6/Hf8fPyK/Jn8n/yX/Ib8efx6/If8lvye/KH8ovyj/KD8m/yX/JT8i/x1/Fn8S/xb/IL8p/yx/J78gPxv/HD8fPyH/I78k/yX/Jj8k/yJ/IH8ffx7/Hj8dfx0/Hf8evx6/Hj8dvxz/G38ZPxc/Fz8Zfxw/HX8c/xu/Gr8aPxo/Gz8dPx8/H/8fvx8/IH8jPyb/KP8n/yQ/Hn8XvxC/Cr8FvwG+/X74fvL+7P7nfuG+2z7T/sy+xj7Avrw+t36y/q++rb6svqv+qr6pvqj+qT6pvqn+qr6rPqq+qL6kvp/+m76XfpL+jP6GPn9+eX5zfmy+ZT5dvlZ+Tv5F/ju+MP4m/h2+FP4MfgU9/v34ffB95j3aPc59wz24/a89pn2dvZT9jD2EPX09dz1w/Wq9ZL1ffVq9Vj1SPU59Sr1G/UK9Pn06vTa9Mb0rPSO9G/0TvQu9A/z8vPW87nzmPNz80/zLvMS8vjy3vLA8qDyg/Js8lnyRfIp8gnx6vHO8bXxnfGC8WTxQ/Ef8P3w4fDM8LrwpPCN8HrwbPBg8FHwQfA08CnwHvAO7/zv7+/n7+Dv1+/P78nvw++576zvoe+e75/vnu+c75nvmO+V747viu+P753vq++y77Hvr++y77nvw+/P79zv5+/t7+/v9fAK8DHwZfCY8MHw1/Dg8OTw7vEJ8UHxpPIs8rvzHvMr8uXyffIt8g/yFfIm8jfyUfJ+8rjy8vMk81Tzh/O58+T0B/Qu9F/0lvTH9Ov1BvUf9T31YvWJ9a31x/XW9d716fX89hL2JfYw9jv2T/Zr9on2ofay9rr2s/aR9lP2EfXu9gH2PfZ79pf2h/Zg9j32LfYs9i/2LvYo9h72D/X+9ev12vXK9bn1ofV99Un1C/TY9Mv08vU/9Yn1qvWZ9Wv1PfUg9Q/1BPT59PT09/UF9Rr1NfVP9WT1bvVv9Wr1YfVW9U/1TvVU9Vj1WPVT9VH1U/VS9Un1NfUb9P303fTA9K70rfS99Nb08vUQ9Sz1Q/VO9Ur1PfUt9R71D/UE9QL1B/UK9QL06vTF9Jb0YPQn8/Hzw/Od83jzTfMa8uDyofJl8jbyE/Hw8bzxdPEo8OrwtvB08BPvpe9S7zPvPu9Q70rvKO7s7pXuIO2Y7RTsrOxl7DTsDOvu69vr1evW69vr4evp6+/r9ev97A7sJOw97Ffsduyi7NftDO067WXtk+3D7e7uEO4v7lXuge6s7tPu/+8373bvqu/H79Tv5/AL8DbwWPBw8IbwpPDH8OTw+fEN8SXxPPFJ8UvxSfFM8VbxZfF48ZDxrPHG8d7x9vIS8jXyWfJ88qDyy/L98zTzbvOp8+T0HfRV9JD00PUS9VH1jvXN9hD2WPaf9uX3K/d097/4DPhf+Ln5GPl3+dP6MPqP+vD7T/uo/AD8WPyy/Qn9Yf27/hr+ev7Z/zT/kP/vAFAArwENAWoByQIqAo0C8QNRA6oEAARXBLgFIQWOBfUGVgaxBwkHXAemB+gIIAhQCHwIpwjXCQsJQgl3CakJ1woBCicKSwpuCpIKtgrdCwYLMAtaC38Lnwu7C9gL9gwUDDAMSwxlDIAMmgyvDMEM0gzmDP4NGA0yDUkNVg1RDTcNGg0eDV0Nzg4+Dm8ORg3ZDVkM8gyvDIoMfQyCDJMMoQyeDIwMdAxgDFQMSwxEDEQMTwxlDIEMoAzBDOcNEQ05DV0NfA2aDb0N5Q4QDjoOXg5+DpkOsg7LDuYPAA8YDyoPMQ8vDykPJQ8pDzYPSw9kD4EPoQ/DD+cQERBJEJEQ3xEfEUIRRhEyERMQ9RDgEOIQ/xEvEV8RfxGXEbgR8hJDEpwS7BMoE1ETbROME7sT/BRCFH8UrxTeFRkVWRWHFYcVTRTpFHQUCxO4E38TVxM3ExMS4hKdEk8SBxHVEbMRkxFkESgQ7BC5EIsQWBAaD5cPVA8WDtoOnw5kDiwN/g3dDcMNnw1eDQAMlgw2C+kLpwtpCzILBgrmCsoKrwqcCpgKmwqcCpUKjQqPCp0KsQrJCuIK/AsTCyMLMwtLC28LnwvUDAkMOgxkDIIMkgyVDIsMeAxiDE4MPwwwDCAMEAwEC/cL4wvBC5ULaQtECygLEgsDCvkK8grrCuUK4ArbCtIKvwqlCowKfQp9Co0KpQq5CsAKugqsCpgKeQpKChAJ1gmmCXoJSAkOCNUIpwiHCHIIZghhCFsISggwCBgICwgBB+YHsAdqByEG2QaLBjYF6AWtBYcFcQVvBYcFtwXuBh0GPQZZBnMGiQaWBqAGqwaxBqwGowalBrQGvwa0Bp8GowbNBwQHHAcQBwkHMweGB80H1AeZB0AG8ga9Bp8GjwaDBnEGUgYsBgYF4wW5BX4FMwTlBJQEOgPQA2AC+AKeAkgB6wGJASoA1gCEACn/wf9R/t/+b/38/Yj9FPyk/Dz72vt7+xv6uPpV+f75v/mk+bH51vn5+gX6B/or+qD7bPxg/TX9xf4b/mD+p/7n/wn/Bv7v/tj+x/6z/pn+g/6B/pL+n/6K/kb96v2i/Yv9n/2z/Z39SPzA/CL7jfsZ+s36p/qa+p76rfrA+sn6vPqS+k759/mS+SP4t/hi+C34C/fj96r3cPdP90r3TPc49wf2yfaY9nz2b/Zg9kj2KfYN9gL2EPYy9lj2bPZg9jX19/Wp9UT0xvRA887zc/MH8k3xJ+/C7nztqO1Y7WTtl+3T7hHuT+6F7rLu2+8F7yXvKO8H7snufu4z7eztq+1w7UHtK+1K7b3ukO+e8KTxcvIR8rjzlfSi9az2e/b29yP3HPb49s72rPaV9n72WfYk9eT1ofVd9Rj02fSs9Jj0kvSL9Hj0XvRK9ET0Q/Q69CP0C/QA9ALz/vPi86rza/M68xvzAfLa8qfycvJK8jHyIvIW8g/yDvIR8g/yAvHn8cbxqPGZ8ZjxnvGh8aDxn/Ge8ZvxkfGA8WzxWPFC8SnxE/EL8RTxI/Er8SrxNPFb8Zzx4fIR8izyQ/Jo8qDy4fMe80zzZPNq827zgvOs89vz9fP68/30EvQq9CLz2vNR8prxyvD08DPvqO9j71bvX+9r73/vpu/d8BfwUfCa8P7xdfHq8lnyzvNb8/n0k/UY9Yz1/vZv9tL3GvdE91f3W/dR90P3QPdb95v39PhT+K/5Cfll+b/6FPpo+sr7QfvG/EP8qfz9/Un9lv3g/iX+b/7F/yn/jf/oADoAiQDcATABggHUAikCgwLgA0EDpAQFBGMEvgUXBWoFtQX3BjcGfQbIBw4HSgd/B7oIAAhPCJ8I7Qk0CXYJtAn1Cj4KjArWCxYLTAt3C5QLpAu0C9YMDQxEDF4MWQxGDDAMAwuhCwgKbgoZCiwKjQsDC2ALngvQDAoMUAyfDPMNRg2VDdcOCg4zDlcOdw6QDp8Org7KDu8PEg8qD0YPfw/XEDUQeBCcELEQtRCFEAIPPQ5nDY0MdQreCO4HSAafByUIYAmXCl0Kvwr7CzELVQtUCzULCwrdCqkKbwo6Cg8J5gm0CXkJOwj9CLsIdgg3CAYH4Qe5B4IHPwb6BsQGoQaQBoUGbgY9BfYFqwVuBUQFKAUQBPcE1wSuBHwESwQkBAwD9wPcA7gDkgNzA1sDRgMuAw4C5QK2AoYCXgI9Ah4B+gHOAaABcwFKASEA9gDEAIsAUQAZ/+j/vP+Q/2L/Nf8N/ur+zP6t/o3+bf5P/jb+IP4J/en9vv2N/WH9QP0r/Rz9D/0D/Pf87Pzj/OD85Pzr/O/87Pzm/OH84Pzd/NT8w/yx/Kb8o/yf/JH8ePxk/Gb8fvyZ/KX8o/yj/K78uPyx/J/8ovzQ/Rj9Tf1N/R785vzD/Lf8s/yq/J/8mfyZ/Jn8lfyN/If8jvyk/L/8zfzE/K38mvyY/KD8pfyj/KL8qPyy/Lb8tPyz/Lf8t/yo/I/8fPx//JT8qPys/KH8lfyU/J78qvyy/Lj8v/zH/Mz8yPy//Lj8tPyx/Kz8pvyk/Kj8rPyq/KX8ofyh/KH8nfyX/JP8lvye/KP8pvym/Kb8o/yc/JX8kvyW/J38oPye/Jj8lvyb/KP8p/yh/JD8d/xd/EX8Mvwh/A/7+vvk+877ufuj+4n7bftR+zj7JfsU+wH67/rg+tj60vrK+r/6tfqy+rT6uPq6+rr6uvq4+rL6o/qP+nv6a/pa+kT6KvoR+fz56fnT+bn5nvmE+Wr5Sfkh+Pb4zfim+IH4XPg7+B33//fb96/3f/dO9x728PbH9qT2hvZo9kn2LfYV9gL17/Xc9cr1ufWo9ZX1gfVt9Vn1Q/Ur9RX1A/Tx9Nn0u/Sa9Hn0WfQ59Brz/vPl88vzrPOK82nzTfMz8xny/PLd8sDypvKO8nfyXPI98hnx9PHU8bnxofGI8WrxRfEd8Prw4PDO8L3wqPCP8HrwavBa8EjwNPAk8BrwEPAC7/Lv5e/d79jv0e/G77nvq++g75nvl++W75Pvje+I74fvie+J74bvhO+I75Hvm++f757vmu+Z757vqu+7783v2+/h7+Pv6O/18BDwOPBn8I/wqPC38MXw2vD18R7xZfHY8mzy7/Mo8wPyovJD8g7yBfIP8hryLPJQ8oXywvL68y3zYPOV88fz8/Qb9Ef0efSv9N70//UU9Sf1Q/Vs9Zr1wfXY9eP16fX09gP2E/Yj9jb2TvZp9oP2lvam9rf2x/bL9rf2jvZi9kv2VPZx9or2i/Z29lz2SvZE9kf2T/ZX9lz2V/ZI9jb2J/Yc9gv17PW39XL1KvT19Of1CfVI9YH1lPV89U71J/UR9QX09/Tk9M/0xfTN9On1FPU+9Vf1W/VP9UD1NPUu9Sz1LvUz9TP1LfUg9RX1DvUI9P707vTc9Mf0svSe9JT0nfS29Nb09PUM9Rz1IfUZ9Qf09/Tu9Ov06fTn9On08PT29PH03fS+9Jr0dPRM9Cb0AvPe87XzgvNE8wDyvPKD8lryPvIa8djxefET8L/wfvA479zveO8x7xzvKO8y7yXvBu7f7qnuVO3d7Vfs4OyI7EzsIOwA6+vr3+vY69Xr1uvb6+Lr6uvy6/7sEewo7ELsYOyH7LTs5e0X7Ujteu2r7dbt++4c7j7uYu6F7qru0O757yHvRe9l74rvtu/j8AjwIvA68FnwfvCe8LLwv/DQ8Ofw/vEL8Q7xEPEX8SLxL/FA8VjxePGa8brx2vH78h/yQfJi8oTyrfLc8w7zQfN487Pz7/Qr9Gf0pvTn9SX1YPWb9d32JPZt9rP2+Pc/94v33Pgy+I347PlM+av6B/ph+rv7Fftw+8z8KPyE/N/9PP2d/f7+XP62/xD/bv/QADIAkQDtAUcBoQH/AmMCygMuA4sD4QQ7BJ8FCwV0BdQGKwaABtIHHwdjB54H0Af9CCgIVQiICL8I9QkoCVcJhAmwCdcJ+gocCkEKaQqTCrwK4wsJCyoLSAtkC4ALngu9C9oL9QwQDCwMSAxiDHsMkgyoDL8M1gzvDQgNFw0NDOcMwQzLDSANqg4cDiwN0Q1CDM0MlwyODIwMgwx4DHcMeAxuDFcMPgwuDCIMFQwJDAkMHAw8DF4MfgyfDMkM+Q0lDUYNYA19DaENyQ3tDgoOIw4+Dl0OgA6jDr8O0g7bDt8O4w7oDvAO+A8ADwkPFg8sD1IPiA/HEAUQQRCCEM4RGxFTEWQRVRE8ESkRHxEVEQsRChEXES4RSBFkEY8R1RI3EqwTIROCE7sT0xPoFB0UehThFSQVMBUeFQ4VEBUPFPQUthRjFAwTvRN5E0ITGhL8EtsSqRJjEhMRyRGQEWYRQBEWEOgQuxCOEFwQIQ/dD0YPDg7ZDqMOag4tDe0NrQ12DUcNFwzZDIcMLgveC50LZAsuCvsK0wq1CpwKhQp2CnMKdwp2Cm4KZgpoCncKjgqpCscK4wr4CwILBwsRCysLVguLC8IL9AweDEAMWwxuDHUMbwxhDFQMSwxEDDgMJgwRC/kL2QuzC4wLaQtMCzULJAscCxwLHwsbCxELBwsCCv0K7wrRCqgKfwplCmMKcwqFCogKdwpaCjsKFwnmCasJdAlKCSsJCQjiCLwIoAiMCH4IdQhyCHAIZghQCDoILggqCB0H/AfJB44HTgcIBr8GfAZDBhEF5QXIBcUF1gXsBfYF9wX6BgQGEQYgBjQGTAZhBmwGewaaBsIG1QbCBqUGqgbXBwIG/wbaBtUHGgeOB+MH5AebBzsG5gajBm0GQgYhBf8F1QWrBY0FfQViBSgE0wR5BCcD1ANxAwMCnwJSAhEBywF6ASgA2gCMADj/3P99/xz+s/48/b39QvzP/GP7+PuL+yP6xPpv+iL54vm5+bH5xfnd+eH51Pnd+ir6x/uR/FL87f1v/e/+aP6//t3+0P64/qz+pf6R/mn+PP4k/ir+Qv5Q/j7+CP3D/Yr9b/1w/XX9Yv0h/Kn8B/tZ+sX6afpJ+lf6ePqU+p/6lfp0+jv55vl4+P34i/g4+An36/fE94/3XvdH90z3U/dA9xH22fau9pX2g/Zp9kj2J/YN9gH2CfYk9kr2Z/Zp9kj2CvWw9T/0vvRJ8/fzvvNm8qfxau/k7n3tiO0a7Q/tNu1w7bLt9e4w7l3uhO6r7tDu5+7j7rzufO4x7e7tue2L7WDtP+1I7ZfuNO8A79DwivE48fXy3vP89T/2e/du99/3w/dN9tL2kPaG9of2cvZF9hP15vWx9Wz1IvTo9Mz0w/S39KH0hPRs9Fn0QvQl9Anz+vP99Aj0CfPy88vzovOC82jzRvMY8uPytPKR8nfyXvJE8izyH/Ic8h3yGPIH8e/x2/HO8cfxwPG48bfxwvHU8eDx3PHL8bXxnvF+8VXxK/EV8SDxP/Fb8WbxafF78abx3vIM8i3yTPJ78rny+/M0813zevON853zsfPM8+Tz6/Pm8+bz9fP688LzM/Ji8YPwwfAo77Tvae9K71HvZe9z74Lvo+/Z8BrwXvCr8QrxdvHi8kfytvM+89/0g/UX9Zb2C/Z59tf3Fvcy9zX3Lfco9y33Qvdr9634Afhg+MH5Ifl++db6Kfp6+tb7RPu9/DL8mfz1/U/9qP39/kr+mP7x/1b/vwAgAHgAygEYAWIBqQHyAkAClQLwA1ADsAQPBGwEywUtBYsF1wYSBksGkwbnBzUHbweeB9QIHAhwCMAJBQlBCXsJuQn/Ck8KogrtCycLUQtwC4oLoQu/C+oMGQw6DEAMNAwoDBcL4QtuCtYKWwo0CmcKxQsdC2MLpAvzDE4MqQz5DT8Nfg24DewOGw5FDmoOiQ6fDq0Ouw7QDu4PDQ8rD1MPlA/xEE8QjRCmEKsQqBCHECcPgg65DdwMxgs9CVcHoAbJBxwIPwmDCmkK4QseC0cLXQtUCzQLDwrrCr4KhQpMChsJ8QnDCY0JUgkWCNMIiAg+B/8HzAeeB28HPgcPBuMGuwaWBnMGUAYmBfMFvgWSBXAFVAU2BRIE5gSzBIAEVAQ3BCMEDQPsA8QDoAOEA2wDUgMzAxEC6wK9AooCWQIvAg0B6gHCAZkBdQFXAToBFgDlAKoAbQA1AAT/1/+p/3j/R/8d/vv+4/7O/rj+nf57/ln+PP4j/gb93/2w/YT9ZP1O/Tz9KP0U/QX8/vz+/QL9Bv0I/QX8//z5/Pf8+Pz6/Pj88Pzh/M/8wPy1/K78p/yi/KL8qPyy/Lj8vPzD/Mr8xfy0/Kf8vv0C/Vb9iP17/T/8//za/NL80/zN/MH8t/y3/Lz8u/yu/J78m/yy/NP85vza/Lz8pvyp/Lf8vfy3/LD8tfzB/Mv8zfzO/NL80/zK/Lz8tvzC/Nb84PzZ/Mn8wPzF/NP83vzj/OT86fzy/Pn8+vz0/O786vzm/N/82PzW/Nr83vzc/NX80PzQ/NT81PzP/Mv8zfzS/Nf82fza/Nr81/zO/MD8tfy0/Lz8xvzI/L/8s/yu/LP8u/y5/Kj8j/x2/GD8Tfw5/CP8Dfv5++X70fu7+6T7i/t1+2H7Ufs/+yr7FfsF+vz69frq+tv6zPrF+sb6yPrH+sT6wfq/+rr6sPqg+pD6g/p0+mD6R/ou+hv6Cvn3+d/5xfmr+ZD5b/lH+Rr47/jI+KH4e/hX+DT4Effo97v3i/df9zX3D/bt9tP2vfan9o/2dvZh9k72O/Yl9hH1/fXp9dD1tvWc9YL1Z/VJ9Sz1FPT/9OX0xfSj9IT0afRM9C/0FPP88+PzxPOh84DzZvNO8zTzGPL68t7ywvKj8oPyY/JC8iDx/fHc8b/xp/GN8WzxRvEf8P7w5fDS8L3wpfCL8HXwY/BS8D7wKPAV8Ajv/u/07+jv3e/V78/vxu+476bvlO+J74bviu+M74fvfe9073Hvcu9173jvfe+B74Pvgu+A74DvgO+B74nvmO+t77/vye/L783v0e/b7+vwCPAu8FbwdfCN8KXwwvDd8PfxI/F/8g/yqvMP8xTyx/Jh8hfx/PH/8gzyG/Iz8lzykvLL8wLzNfNq86Hz0/P+9Cb0VPSL9MP06vT99Qj1H/VL9YX1uvXd9e719PX29fv2B/Ya9jX2U/Zw9oX2kvaa9qn2x/bu9wn3AfbV9p/2fPZ49ob2jvaE9m72WvZT9lv2cPaK9p/2o/aW9oT2d/Zw9mH2PPX99a71YvUt9Rz1MPVW9XT1c/VV9S31EfUG9QD09fTf9Mf0uPS+9Nv1B/Uu9UD1OfUn9Rf1EPUN9Qv1C/UN9Q71BvT19N/0yPS09KL0kvSJ9IP0f/R89IL0l/S49Nn08/T/9P/09PTe9Mf0uvS79MX0zfTQ9NP01/TX9M70uvSj9I/0fvRr9FT0NvQR8+LzqfNm8yDy3fKl8nvyVfId8cTxUPDe8IrwT/AQ77fvU+8I7uzu8+757uvu1O6/7qfuc+4V7ZrtH+y67HDsPOwY6//r7uvf69PrzevP69br3evi6+nr9uwN7CvsTexx7Jjsw+z07SjtXO2N7brt5O4M7i/uS+5j7n7uoO7I7vDvF+8/72jvke+z783v5/AI8DHwWPBz8IHwjPCd8LPwxPDL8Mvwz/Da8Ofw9vEI8STxSvFz8Znxu/He8gDyH/I+8mDyi/K68unzF/NJ84PzwvQC9ED0ffS69PX1LfVl9aT17PY49oP2zPcV92T3t/gO+Gf4xPkj+YH52/ox+ob63vs8+537/fxZ/LX9Fv17/d3+Nv6L/uP/RP+sABEAcgDOASgBgAHbAjwCowMJA2kDwwQgBIYE8AVSBagF9wZGBpQG2wcWB0cHdQejB9IIBAg6CHEIpgjWCQQJMQleCYUJqAnKCfIKHwpLCnMKlgq3CtcK9AsQCywLSgtpC4YLoQu8C9gL9gwVDDMMUgxwDIsMnwyvDMEMzgzJDKoMggx/DMENMg2IDX8NFwyYDFIMWgyDDJYMhgxtDGIMXwxTDDoMHwwODAEL7wveC94L9QwaDD0MXAx/DKwM3Q0HDSYNQg1jDYgNqA3BDdYN8A4RDjcOXA57Do8Olg6SDo0Ojw6fDrcOzg7hDvAPAQ8bD0YPgQ/HEA4QUhCaEOgRMRFgEWgRVxFHEUgRUxFTET0RGRDzENQQxhDUEQwRcBH4EpMTLBOnE/EUDRQgFFkUvhUnFVsVRxULFNcUuhSgFHIULxPoE6gTbBMwEvkSzxKyEpESXRIVEccRfxFFERYQ7hDJEKYQgBBQEBQPzQ+GDvkOzg6iDnAOOA35DbINYg0QDMgMiwxTDBUL1AuWC2ELMAr/CtAKqgqNCnUKYgpXClYKWQpVCkoKPwpBClEKbAqNCrAKzwrhCuYK5ArnCvsLIQtVC40LvgvlDAYMJgxFDFwMZQxlDGgMcwx8DHcMXQw1DAYL1gupC4QLagtYC0cLOQsyCzYLPgs9CzILIgsYCxELBAroCrwKiQphClEKWAplCmMKSAofCfIJxAmTCV4JLwkPCPoI5gjPCLkIqgicCI0Ifgh3CHMIaAhUCD8IMwguCCEIAgfSB50HZgctBvUGxAabBnMGSgYnBhEGBgX7BesF3AXUBdQF1wXhBfcGGAY1BksGawakBuEG+gbgBroGvAbqBw0G+gbJBsgHHgecB+oH2geGByYG1waRBkgGBAXJBZYFYwU6BSkFJwUTBNMEcgQQA78DcwMWAq0CUgIUAecBtAFyASoA5ACdAFAAAf+0/2T/Av6H/f39dvz+/I38Gfui+zH60/qK+kz6FPnl+cr5xfnH+b35pPmZ+cH6Kfq6+1X78PyZ/VP+Av53/pz+if5u/mn+cf5u/lD+IP31/eD96f4E/hf+Cf3T/Yr9UP06/Ub9Wf1N/QL8bfuj+tf6QvoF+hT6RPpr+nn6cPpX+ib50/lf+Nz4Z/gX9+v3zvep93v3VfdH90/3VPdC9xj26vbH9q/2lfZw9kb2IfYG9fP17fX69hz2Q/ZX9kf2DfWt9S/0qvQ+9APz5POd8t/xk+/27nbtauzq7NPs8+0r7W3ts+3y7iHuQO5Z7nPuju6d7pLuZ+4n7ejttO2H7VrtM+0p7VPts+447s/vdPAo8O/x2vME9IX2Ove6+Ir4evfS9x/2xfbA9sr2rfZz9kT2LvYY9ej1ofVe9TT1HvUO9Pv06PTR9K70efQ+9BX0B/QM9A7z/vPk883zv/Oy85jza/M08wPy4PLF8qryivJo8k/yRPJB8j/yN/Io8hryFfIS8grx+fHo8eTx9PIL8hbyCvHs8crxq/GL8WfxQ/Ew8TrxXfGC8ZnxofGt8czx+PIh8kHyZPKW8tfzE/M+81zze/Od87rzzvPa8+Hz3vPR87/zqvN58wTyOvFC8GHvyO9370/vOe8370zvau+A75Dvru/m8DLwgvDQ8SXxhfHv8l/y3PNv9Bb0vvVU9dD2PPae9vL3Kvc69yv3EvcK9xv3Q/d597n4Cfhn+Mz5LvmI+dz6L/qF+ub7UvvE/DP8mfz4/Vj9uv4Z/m/+wv8d/4T/9ABgAMEBFgFeAZ8B3QIdAmECrAMAA10DwQQkBIcE6wVTBbEF+gYwBmgGtgcUB2cHngfHB/wIRwibCOIJGglMCYUJxwoSCmYKvQsJCz8LXgtyC4YLogvHC+8MDQwXDBIMDwwUDAkLwgs2CpcKNgo9CpMK+AtEC4ELywwsDJUM7Q0vDWMNkw3DDfIOHw5IDmwOjA6mDrsOyg7YDuwPBw8qD1oPoQ/8EFgQlBCmEKEQmxCJEEQPtw7yDhENBgujCeUIMQcqBzYIKgluCnMLCgtRC3ELeQtpC0kLKgsMCuMKqgpqCjIKBAnUCZsJXwkkCOoIrQhtCCwH7we1B34HUAcpBwQG2AamBnUGSAYhBfwF2gW8BaAFgQVYBScE8QS4BIQEXARDBDMEHAP4A84DqgOPA3cDWAMzAwwC5gK7AokCVQIoAgMB4AG8AZkBfAFlAU0BKwD7AMEAhQBOAB3/7//A/5D/Yf83/xb+//7v/t/+yf6p/ob+Zv5N/jH+DP3d/bH9kP16/WT9Sf0s/Rf9EP0V/SD9KP0m/R/9F/0T/RL9Ef0P/Q79Df0J/Pr85/zZ/Nj83/zl/OL83Pzb/OX88/z//P787vzW/Mv85P0f/WD9f/1r/Tb9Bfzx/Pf9Av0B/PP85vzo/PT89/zh/L38pPyt/Mv83fzQ/LD8n/yr/Mb81fzQ/Mj8yfzT/Nr82vzb/N783vzZ/Nf85f0C/R79Jv0W/P387vzy/QH9D/0T/RD9D/0V/R79JP0j/SD9Hv0b/RX9Dv0L/Q39E/0T/Q39B/0F/Qb9BP0B/QD9BP0L/Q79Df0K/Qj9Bv0A/PT85/zi/Of87/zx/OX81fzO/NX84fzi/ND8s/yX/IL8bvxW/Dr8IvwQ/AD77fvX+8H7rPua+4n7eftn+1H7Ofsn+xv7EvsI+vr66/rg+tz62vrW+tD6yvrF+sD6uPqv+qb6n/qV+oX6bvpV+kD6Lvoa+f/54PnB+aP5gPlW+Sr5APjc+Lj4lPhw+E74LPgH9973tPeP9273Ufc49yX3E/b/9un20fa69qP2h/Zp9kz2MvYY9fn12fW79aD1g/Vi9UL1JvUO9PP00vSx9JX0fvRl9En0LfQT8/nz1/Ox847zcvNb80TzKvMP8vLy0PKp8oLyYPJD8ifyCPHp8czxsfGT8XHxS/Eo8Qvw8/Dc8MLwpfCJ8HHwX/BN8DjwIPAJ7/fv6u/h79jv0O/I77/vtO+l75Pvg+9573fveu9673Tvau9h71rvV+9X717vae9y73Hvae9i72DvYu9n73Dvgu+Y76nvr++u77Dvte+778Xv2e/88CXwSfBk8H7wmPCs8Lfw0PEX8Z7yRvLP8wLy1vJ28h3x8fHx8gbyGvIr8kTyb/Kp8uTzGvNN84Hzs/Pf9Ab0NPRs9Kb0z/Ti9Oz1BfU39Xf1tPXg9fj2APX/9fz2AvYV9jL2VPZz9oj2kPaP9pX2t/b19zX3UPc09vX2uvaf9p72oPaU9nv2ZfZb9mX2gfan9sn22PbU9sn2xPbE9rn2j/ZG9e71nvVm9U71UPVe9WH1T/Us9Qv0+fT29PX07fTe9M/0xvTM9OL0//UW9Rn1CvT59PP09fT39PP07vTv9PX09fTn9M70r/SP9HP0YPRY9Fn0YfRt9H/0nPS+9Nv07PTu9OX00/S79Kb0nfSj9LH0vvTE9Mb0xfS/9K70mPSE9Hr0d/Rz9Gf0T/Qs8/3zxfOF80LzAfLG8o/yVPIE8ZjxH/C28HHwRfAM767vO+7b7qzup+6t7qruou6e7pjue+427c/tXezz7J3sW+wt7A/r+uvm69TrxuvB68TryOvM69Hr3Ovw7A/sM+xZ7H3spOzR7QXtO+1t7Z3tze377iLuPO5N7l3udu6X7r7u5+8R7zrvXu9875jvue/g8AjwKPA98EvwXPBx8ITwjvCO8Ivwj/Cd8K7wwvDZ8PnxIPFK8XDxk/G28djx+PIY8jvyZ/KX8sTy7fMa81LzlPPX9Bb0UfSL9MT0+vUw9W71tvYE9lP2oPbt9z33kvfr+EP4nvj6+Vf5sfoG+lr6s/sT+3b71fwu/Ij86f1P/bH+CP5a/rL/F/+C/+sATQCtAQkBYwG7AhgCewLfAz4DmgP4BF4ExAUhBXEFvQYLBlYGlQbGBu8HGgdLB4AHtwfuCCQIVwiGCLMI4QkNCTQJVwl8CaYJ1An/CiUKRQpkCoQKogq/CtsK+QsWCzILTQtpC4gLqgvJC+YMBQwoDEkMXgxnDG0MeQyADHIMTww6DFcMoQzfDNIMewwdDAEMLgxuDIcMdAxXDEwMTAxADCUMCQv4C+oL1wvGC8YL2wv8DBsMOQxfDI8MvgzkDQINJA1LDW4NhA2TDacNxw3tDg4OJQ42DkUOUA5VDlkOZA54DpMOrw7ODvUPJA9VD4EPqg/XEA4QThCWEOARIBFKEVoRXRFkEXMRfhFzEUoRCRC5EGgQMBAtEHAQ8BGSEjkS1hNYE7IT5xQRFFUUthUMFScVAhTFFJkUfxRcFBsTyhOCE0kTERLSEpYSaxJPEjAR/RG4EW0RJxDqELUQiRBnEEoQKA/3D7YPbQ8sDqwOhg5aDiUN6A2oDV4NBgyoDFMMEwvkC7oLjAtbCywLAQrWCqwKiQpuCloKTQpGCkYKRwpCCjcKLQouCjwKVgp3CpkKtQrCCsMKwQrGCtoK/QsuC2ILkQu1C9IL8wwXDDUMRgxPDGIMggyeDKAMgQxMDBAL1wumC4ILbgtlC1sLTwtFC0ULSgtKCz4LLQsdCxALAArmCr4KjwplCk4KSgpOCkMKIQnsCbUJgwlXCS4JDQj2COYI1gjGCLsIswipCJcIgwh1CGsIXAhICDgINAgxCB8H9Qe9B4QHUAceBvIG0Aa5BqQGiQZqBkwGMgYYBgIF9QXvBecF3AXbBfIGFgY0BkYGZQakBu4HDgbyBsQGwAbrBw4G/gbUBtoHMAegB9YHsQdaBwcGyQaLBj0F6QWeBV0FJAT8BO4E7QTWBJAEKgPJA30DNQLcAnkCKAH2AdQBqQFsASgA6ACnAGEAGv/X/5D/M/62/ib9mv0g/LD8O/vA+0r66fqh+mn6OPoL+eb5zPm4+Z35evlj+XD5qvoI+nv7CPu8/JH9Xv3v/iz+K/4X/g7+FP4a/hP9+P3O/aj9nP2z/dv97f3V/Zr9X/08/Tb9PP05/Q38nPvh+wD6Qfng+eD6Efo9+k36Sfo8+hz51Plf+NX4W/gI99j3tveQ92b3Rfc790P3R/c39xL26PbI9q32ivZa9iX1+PXa9cf1v/XI9eT2BPYS9fr1uvVY9N/0ZPQG89rzyfON8tbxi+/r7mXtU+zP7LLszOz67TPtc+2z7eTuAu4U7ibuQO5b7mTuTe4b7eLtr+1/7U3tHOz+7QHtJe1i7b7uQe7v77zwqvHd83n1Z/cw+D34Tvew9wf2w/bZ9vH20vaR9mb2ZPZo9kv2B/W69YH1YPVQ9U31UvVK9SH01fSA9ET0LvQp9Bz0AfPr8+jz8/Pz89XznPNd8yzzDPLx8tDyqvKK8nnyd/J38mzyU/I58ivyMPI+8kPyOfIp8iLyKPIx8izyEfHi8a7xgfFh8U/xSfFO8WHxgPGk8b/xzvHb8fbyHfJC8l3yd/Kj8uDzGvNB81zzffOk88Tz0vPX8+Dz6PPW857zQ/LE8hjxOvBN747vKu8V7yDvKe8x70rvb++Q76fvx/AD8FXwq/D48UXxovIY8qHzN/PV9Hj1FfWd9g32a/bC9xL3SvdZ90D3GvcH9xr3SPeC98H4D/hw+Nj5OvmQ+eH6OPqZ+wL7cPvh/E78sv0O/Wv9z/4z/pH+6v9H/7EAJgCYAPwBTQGRAc4CCwJIAoYCxwMSA20D1gRBBKgFDwV1BdEGGAZQBo0G4gdEB5YHywf0CC4IfAjJCQMJLgleCZ0J5go0CoYK2wsnC1sLcwt+C44LrAvRC+8L/Qv7C/cL/gwLC/ULlArxClEKBwowCp4LDwtjC6wMBwxwDNANFA1DDW0NnQ3QDgAOKw5QDnAOjw6vDswO3w7rDvYPDQ8wD2APoQ/0EEwQixCiEJ8QmRCOEFQPyQ73DgwNFgvwCnYI2weqB2cIHAlQCm4LIwt3C5ULmQuJC20LTwsxCwoK1AqXCl4KKwn1CbYJcwk3CQUI1wimCGwILAfpB6oHdgdOBykG/gbJBpMGYgY5BhcF+wXiBcYFoAVvBTkFAQTKBJUEagRNBDsEJwQFA9oDsgOVA3wDXAM1AwsC4AKzAoQCVAIqAgYB4gG+AZ4BhQFxAVkBNgEIANMAnQBoADYABf/V/6j/fv9Z/zn/IP8N/vv+5v7N/rD+lf57/lz+M/4D/df9t/2h/Yv9bv1O/TT9Kv0v/Tv9Q/1A/TX9K/0o/Sn9Jv0d/Rj9Gv0g/R79FP0L/Qz9Ev0P/P/87/zy/Qz9L/1D/UD9Kv0Q/QP9DP0o/Ub9Uv1D/Sb9EP0R/SP9NP02/Sj9Hv0n/UD9Tv03/QD8y/y2/L78yPy8/KX8nfyw/Mz82fzW/NL81vze/OH84fzk/Ov87fzq/Ov8/P0b/Tb9Pf0t/Rf9C/0R/SX9OP1C/UH9Pv1B/Ur9VP1Y/Vj9Wf1Z/Vb9Tv1H/Ub9Sv1N/Ur9Q/0+/Tv9OP03/Tn9Pv1F/Uf9RP1A/T79P/09/Tb9Kv0f/Rv9G/0W/Qf89fzt/Pj9C/0R/P/83vy//Kn8lvx9/GD8R/w3/Cr8F/wA++f70fu++6z7mfuF+3H7W/tG+zX7Kfsf+xX7Cvr/+vb68frs+uf64PrY+s76xPq8+rf6tPqv+qL6jfp1+l36R/ou+g/57PnJ+an5hvlf+Tf5Ffj5+N74v/id+H74ZPhK+Cv4Cvfq9833sfeW9333ZvdN9zL3Fvb79t32u/aX9nT2VvY59hf19fXV9bn1nPV79Vr1PfUj9Qb05PTB9KX0jvR29Fn0PPQi9Abz5PO985fzevNi80zzNPMa8vry0/Kn8oDyY/JM8jPyFvH28djxuvGa8XbxVPE18RvxAvDm8MjwqfCM8HLwW/BF8C/wF/AA7+vv2e/N78Xvve+076rvnu+R74Pvdu9t72jvZe9f71bvTu9J70PvPO847z3vS+9Y71rvUO9G70PvRe9L71TvZe9574jvju+Q75XvnO+i76jvue/Y8AHwJPA+8FPwZ/B08HjwhPC68S/x0fJt8sfyxfJ68h3x4fHa8fbyFfIo8jjyWvKT8tbzEvND83Dzm/PD8+v0G/RU9Iv0svTD9NH08vUt9XP1tPXk9f/2CfYF9gD2BPYV9jH2UfZw9oj2kvaO9ov2pvbp9z33dPdw9zz3APba9sr2vfam9oj2bvZj9mr2g/aq9tL27fb29vj2//cG9vr2yfZ39hb1v/WD9WT1WvVW9Uj1K/UH9O304vTj9OT04PTa9Nb01fTY9OL07/T29PH04/TZ9Nv05vTr9Oj05PTo9PT0/fT69On0zvSu9I70dfRn9Gb0b/R/9JX0sfTN9OL06/Tp9N30yvS09KH0nPSk9LP0v/TE9MT0wPS19KL0ivR59HH0cvRx9Gn0V/Q79Bfz5/Ou823zKfLk8p3yTvHw8YPxFfC98IfwYfAp78jvR+7M7nruV+5T7lnuYu5s7nHuYO4y7eftjO0t7NLsg+xG7B7sBOvv69nrxeu367Prtuu868Xr0Ovf6/fsGOw87GHsh+yy7OXtHe1U7Yftue3o7hDuLO4+7kzuXe517pHutO7b7wXvLe9S73bvnO+/79zv7+//8BDwJ/A98E7wVfBV8FTwWvBo8Hzwk/Cu8M7w8/EZ8T3xYPGG8a3x0fHz8hjyQvJw8pvywvLs8yHzYvOn8+n0JfRe9JX0zPUE9UL1iPXU9iL2bva79wz3ZPe/+Bv4dfjQ+Sv5hvnd+jL6i/rq+037q/wC/Fj8t/0c/X/92P4s/of+7f9Y/78AIQCCAOEBPQGVAfACUQK0AxIDagPGBCgEjATmBTQFfwXKBhEGSgZ0BpkGxQb5BzIHagegB9UICAg3CGUIkQi8COQJCQkvCVoJhgmuCdEJ8QoRCjEKUQpvCowKqgrGCuAK+gsZCz4LZAuDC5sLtAvXC/wMFwweDB4MJgw3DDkMIgwLDB8MZwyxDLwMeAweC/YMEgxGDF8MUww/DDkMOAwpDA0L9AvlC9oLygu7C7wLzAvkC/sMFwxBDHMMnwzADN4NBA0wDVANYA1rDYENpA3EDdUN2g3jDfgOFQ4vDkMOUw5jDnMOiA6wDvQPSg+XD8QP1Q/jEAQQOhB4EK8Q2xD/ESYRURF8EZURjhFjERwQxhBkEAEPuw+2EAMQjBEnEbYSNxKxEyATfRPOFCIUdhSuFK4UgxRVFD8UMxQNE8QTcRMuEvsSwBJ2Ei4R+xHdEb0RjBFLEQMQvhB9EEEQEA/tD9QPtg+KD08PEA7YDk0OHQ3mDacNYw0gDNoMiww3C+0LuQuZC3wLVgspCv0K1gqxCowKbgpbClEKSwpICkQKQQo9CjkKNgo4CkAKUApnCoAKkgqYCpgKnAqrCsQK5AsMCzcLYQuCC58LwAvlDAMMEwwfDDoMZgyNDJQMdQxBDAsL2guvC44LfAt3C3QLawtdC1MLTgtICz0LLgsdCwwK9grZCrUKjQpmCkoKPAo0CiEJ+Am+CYMJUQkrCQ4I+QjoCNcIxgi7CLkIuwi2CKYIkQh/CGwIUwg6CC0ILggtCBMH3QeZB1sHJwb6BtUGvAawBqcGmQaEBmsGUQY7Bi4GKwYoBhcF/QXzBgsGMwZHBkMGSgZ/BtAHAAbtBrgGoga9BuEG5wbeBvkHSQecB7EHewcnBuYGuQaHBj4F6QWZBVIFEgThBMgEuwScBFgD/QOqA2YDIALJAmsCIQH3AdgBrAFtASoA6gCrAGcAIf/f/5r/P/7H/j79uf1F/Nr8bPv2+4T7H/rO+o/6Wvor+f/51vmt+YL5V/k3+TL5TfmG+dj6Tvrx+7r8h/0v/Zf9v/28/aT9jP2C/Yj9jP17/Vz9S/1h/ZT9vv3F/a79kP11/Vr9Pv0n/Qv8xfwu+076bvng+cD54voH+hX6Gfoj+iH58/mK+P74e/gc9+D3sveD91P3MPck9yz3NPco9wP20Paf9nP2Q/YI9cn1lvV89Xr1h/Wb9af1nfVx9SP0xPRl9A3zwvOS84PzfvNC8ozxSe+37kLtQezG7KrsuezX7P/tNO1u7aHtwu3Y7e/uEe407kbuOe4S7eHtse2D7U7tFuzm7MnsvOy87NjtJu2w7m3vUPBq8dbzhPUY9hT2P/Xe9YD1ifXl9j32VfZE9kD2XPZ19mX2KPXd9Z/1dvVh9WP1dvWC9Wb1HPS/9Hn0VvRG9DT0IPQc9DD0SfRJ9CPz4fOb82TzO/MW8vDyyvKs8p3ymfKU8oHyXfI28iTyL/JO8mnyc/Js8mDyVfJH8jTyFvHn8abxXvEm8RLxIvFF8WzxkfG28dXx5vHx8gXyKfJO8mbyePKa8tPzEvND82fzjPOz88nzy/PQ8+30C/P184fy0/IG8Tvwce+07yfu6+757x7vNu9B71fvf++r787v8vAr8HnwzPEZ8Wjxz/JY8vrzoPQ79Mn1S/XA9iT2e/bN9xv3V/dt91f3LfcU9yL3T/eJ98j4GPh9+Ov5T/ml+fr6W/rF+zH7nPwH/HD80f0p/YH94v5L/rH/Ef9y/94AUgDAARwBZAGiAeECJAJnAqYC5QMtA4cD7gRYBLwFHQWABd4GLQZuBrQHCgdpB7gH7wghCGMIsAjzCR4JQwl4CcEKEgpfCqsK+QtBC3ELhQuOC58LvAvbC/EL+Av2C/cL/AvyC7gLOQqQCgUJ2goYCo4LBQtsC9QMSQy3DQcNNA1TDXkNrA3iDhIOOw5eDnwOmw6+DuAO9w8CDwoPHQ88D2UPmg/jEDcQfRCeEKEQnRCREFEPtQ7IDcoM6QwDCtcJYQgUB4cH/AkeClELIQuCC6ILqwuoC5cLegtZCzMLBQrPCpkKYwooCeUJoAljCTEJAwjRCJkIXAgeB+IHrgeBB1gHKgb3BsIGjwZhBjoGGQX7BdoFrgV9BU8FJwT8BMgEkQRlBEsENgQZA+4DvwOYA3oDXQM6AxAC4wK1AogCXwI6AhQB7AHEAaQBjQF6AWEBPQETAOcAuACGAFEAHv/v/8T/nv99/2D/Rf8s/xP++/7m/tL+vP6f/nn+S/4b/fP91v2//af9i/1w/Vz9Uv1T/Vj9W/1U/UX9Of03/Tz9PP00/Sn9J/0u/Tb9N/02/Tb9Mv0e/QP89P0H/Tf9Zv17/XL9Wf1D/Tb9MP0u/TD9Mv0w/Sv9Kf0x/UL9Uf1S/Uf9Q/1a/Yj9sP2s/Xb9Kvzw/NX8yvy+/LP8s/y//Mv8zPzH/Mv82fzm/On86/z0/QP9DP0K/QX9B/0U/ST9Lv0x/TD9MP03/Uj9X/1z/Xz9ff2B/Yr9lv2d/Z/9ov2l/aP9mv2O/Yj9iv2N/Yr9gv17/Xj9ev19/YH9hf2G/YT9gv2B/YH9gf1//Xf9av1a/U79SP1D/Tb9Iv0W/Rz9Lv02/Sf9Bvzm/ND8wPyp/I/8ePxq/F38Svww/BT7/fvn+8/7uPuj+5H7fvtp+1L7QPsz+yv7JPsa+xH7CvsG+wT6//r0+uX61/rN+sX6v/q3+qn6lfp9+mT6TPoy+hP58fnR+bT5l/l3+Vn5Qvky+SD5Bfjl+Mj4s/if+In4bfhP+C/4DPfn98L3oPd+91v3Ovcb9vv22fa09pL2dfZY9jj2FPXy9dT1tfWT9XL1VPU59Rr09vTQ9LH0lvR79F30QPQm9Azz7fPI86PzhfNr81PzOvMf8v3y1PKq8ojycPJb8kDyHvH78dzxv/Gg8X7xX/FE8SnxC/Dq8MnwqvCO8HHwVfA68CLwDO/37+Lvzu++77Hvp++d75PviO9+73Tvae9f71XvSu8+7zLvK+8r7yrvJO8d7x3vKe837zzvNe8r7yjvLO807z3vSe9X72Pva+9073/vjO+U75rvp+/D7+bwBPAb8DDwRPBS8FfwXvCC8NnxYfH58nDynvJ68ibx2vG/8dbx/PIV8iXyQ/J98sbzCfM982bzi/Ot89Hz/vQ19Gn0ivSb9K/03fUl9Xf1wPX09hH2FvYP9gn2EPYl9j32VPZs9of2mfaZ9pH2nfbT9yX3aPd79173MfcM9vH21Pay9pL2fPZ09nn2jPat9tL28Pb/9wf3EvcW9wP2yfZv9gv1t/V+9WD1UfVD9Sr1CPTn9NT00vTX9Nn02PTW9Nf01/TX9Nn04PTn9Of04vTg9Ob08fT49Pn0+/UE9RP1IPUk9R71D/T49Nv0v/St9Kj0rvS79Mv03fTu9Pv1AfT+9PH03PTD9LD0rfS49Mf0z/TP9Mr0wfS19KT0k/SG9ID0ffR39Gz0XPRJ9DH0DfPa85fzSvL58qfyUPHz8ZHxM/Dn8LPwjfBa8ALvg+7y7nXuJO4D7gXuGe4v7jnuMO4S7eTtqe1h7Q/su+xx7DvsFuv569/rxuuz66nrquuz68Hrz+va6+nsAewi7EjscOyb7M7tCO1C7Xjtp+3R7fXuEu4q7j7uUe5j7nfuke607tzvBu8v71fvfO+Z76zvt+/F79jv7vAB8A/wGPAe8CTwKvA28EjwYfB+8J7wv/Di8QbxLPFU8X7xpvHL8fDyGPJE8nDymfLD8vXzM/N387nz9/Qx9Gn0ovTd9Rv1YPWq9fX2P/aK9tr3M/eR9/D4Svih+Pn5U/mt+gX6Xvq8+x77ffvW/Cz8h/zp/Uz9qv4F/mP+x/8u/5H/8QBQALABDAFmAcMCJwKNAuwDQgOYA/UEVASqBPUFOQV9BbwF8QYbBkMGcwarBuUHGgdNB38HsgfjCBEIPQhpCJIIuQjhCQkJMQlXCXoJnAm+Cd8KAAofCkAKYAp+CpkKtArVCv4LKQtLC2ILdguTC7kL1wvhC98L5Qv2DAAL+Qv3DCoMnQ0XDUQNAQx/DBYL9gwKDCIMKQwmDCQMHQwJC+8L3QvVC80LvwuzC7QLwQvRC+IL/QwpDFoMgQydDLwM5Q0QDS0NPA1JDWINgA2VDZkNmw2rDcsN7g4KDh4OLw49DkkOWw6IDtgPOw+LD7EPsw+2D9IQAxAwEEsQXhCCEMgRJRF4EZsRfhEuEMgQZBAFD7EPfw+ND+YQahDqEVMRsxIkEqMTHBN/E8wUAhQUE/wTzROpE54TlxN1EzkS/RLUEq8SdRIhEc0RkRFrEUcRFBDVEJAQTBAID8oPmA90D1kPPQ8YDukOsw59DdMNkA1KDQAMtQxyDDcL/gvFC5cLewtrC1YLMwsHCt0KugqZCnkKYApWClgKWwpYCk4KRgpECkkKUQpVClUKVgpcCmYKbAptCnAKfwqbCrsK1wryCxELMwtUC3MLlQu5C9UL5AvwDAwMOQxgDGgMTAwiC/0L4AvCC6ULkguOC48LiQt5C2YLVQtHCzsLMAslCxQK+QrWCq4KhgpgCkAKKQoXCf4J1AmdCWUJNgkTCPwI6wjbCMsIvQi4CL4IxwjECLQInQiFCGsISggqCBgIEwgKB+QHogdYBxkG6QbDBqUGkwaOBo0GiQaBBncGagZcBlUGVAZLBjAGDgYHBikGVgZfBjsGHQY/BpgG5gbrBrEGdAZhBnQGlgbEBwkHXAeTB4kHSAb8BsYGoAZzBjIF6QWgBVcFDQTMBJ4EfgRWBBoD1AOUA1wDGwLIAnECLgIFAeYBuwF/ATwA+QC1AG0AJP/g/5n/Qv7W/l796f1//Rj8r/xC+9j7dfsb+s36jPpT+h355Pmo+W35OPkR+Pz4/fkY+U/5qfot+tj7l/xR/On9Rv1c/TX89vzP/NT88Pz+/PX88P0N/Ub9ev2V/aH9rv22/aP9eP1T/UH9G/yg+8L6w/oI+b/5w/nT+dP52Pn4+h76GvnP+U34w/hU+Aj3zveY92P3Ovcp9y73Ofcv9wD2svZa9gj1vvV19TH1AfT49Rj1TPVw9WD1CfR188vzOfLf8sHyzPLv8xfzI/Le8hrw1+9a7gXtI+y77KLsqey47NTtAe037Wftie2k7cbt8e4a7i3uI+4C7djtr+2E7VHtF+zf7LHsiuxk7ErsU+yZ7R3tze6d747wnvGi8lTykfKD8o/y/fO/9In1H/V/9c32GfZN9lX2NvYG9dT1n/Vt9VD1U/Vj9Vv1KfTg9KH0efRh9E/0SPRU9G/0gPRz9EX0BfPB84PzT/Ml8wTy6PLM8rDym/KM8nryXfI78izyPPJm8pLyrPKw8qPyi/Jw8lzyS/Ir8eLxbvD58LXwt/Dp8SfxY/Gd8c3x6PHx8f3yHPJG8mTydvKQ8sTzBfNB83Pzo/PK89jz0PPX9Ab0NvQS82ryZfFh8JXv++907wju2e7v7yPvS+9f73bvoO/U8ADwJvBV8Jfw5fE58ZjyEfKp81Lz8/R89O71VPW29hX2bfa/9wz3Sfdm91n3Nvch9zD3XfeX99j4KfiS+QP5bPnK+iv6mPsJ+2/7zPwq/Iz86f09/ZL99P5i/s//NP+YAAQAdADaASsBagGlAeUCLQJ3Ar4DBQNSA6sEDARqBMMFHAV+BeQGQAaNBtYHJwd+B8wIDAhKCJEI2QkRCTUJWgmWCegKPQqJCtALFwtWC30LjQuYC60LygvjC/AL9Av2C/ML4AumCzkKogoMCbAJsAoBCncK8AtrC/MMfwzzDTgNWA1wDZINvQ3pDhIOOg5hDoQOpQ7HDukPAg8QDxsPLQ9ID2sPmQ/aECoQcRCXEJ4QmhCKEEIPlA6ODX4MqQv6CxUJyAhnB5oH0AjeCiULFAuGC6oLuwvJC8kLtAuTC2wLQAsLCtAKkgpTChIJ0wmZCWMJKQjrCK4IdghGCBkH7Ae+B40HWwcnBvMGwgaSBmQGOwYTBegFugWRBXcFaAVOBRkE0QSOBGMETAQzBAsD1wOlA3wDWwM7AxkC8QLIAqACewJVAioB+QHLAaoBlQGDAWoBSQElAP8A1QCkAHAAPwAT/+3/yf+p/47/c/9W/zb/Gv8E/vH+2/67/o/+YP42/hX9+v3e/b/9pP2S/Yn9hf2B/Xv9dP1o/Vj9Sf1F/Uz9VP1U/Uz9Rf1F/Un9TP1O/Ur9Pf0j/Qv9Df0z/Wz9lP2Y/YH9af1f/Vv9Uv1D/Tj9Of1A/UX9Rv1H/Uz9Uv1Q/Ub9R/1o/az99P4T/fL9pP1P/RL87/zd/NT80fzQ/Mr8wfzB/ND85/z1/Pf8+P0E/Rr9K/0t/SL9Fv0S/R79PP1i/X/9hv19/Xn9iP2j/bn9w/3J/dL93v3m/en97P3x/fL96v3f/dj92P3Z/dT9yf3A/b/9xv3Q/df91/3Q/cn9xv3H/cb9wf24/av9mv2H/Xv9ev1//X39bf1X/U39Uv1X/Ur9LP0N/Pf85/zT/Lz8p/yZ/Iz8d/xc/EH8K/wU+/v73/vH+7X7pPuP+3f7X/tO+0X7Pvs1+yv7Ivse+xz7FvsJ+vj66Pra+s36wPqx+qD6jfp2+l/6Sfoz+hr5//nm+dD5uvmi+Yz5ffl0+Wj5Ufkx+RH4+Pji+Mr4rviQ+G74SPgb9+/3xfee93f3Ufcv9xD28fbQ9rD2k/Z39lj2NPYP9ez1yvWn9YX1ZvVK9Sr1BfTf9L30n/SB9GH0RPQq9BDz8/PT87PzlfN481rzPvMg8v/y2fK18pnyg/Jq8kjyIPH78d7xxPGo8YvxbvFS8TLxDvDp8MbwqPCM8G7wT/Ax8BjwAu/u79rvxe+w757vkO+F73vvdO9t72XvWu9M7z7vMO8h7xPvCu8K7wzvC+8G7wTvDO8X7xzvF+8P7w7vFu8j7y7vNu8970XvTu9c73Dvge+M75Tvou+479Dv5e/58BDwKvA/8EnwUfBn8J/xAPGE8gzyavJ68kHx8PG98bzx2PH08gjyKPJg8qby6/Mk81PzefOX87Lz1/QH9Dj0WfRt9In0wfUZ9X312PYY9jb2NfYm9iD2LfZG9lj2X/Zq9oL2nvap9p/2m/a59vj3OPdY91T3Pfcj9wf25vbB9qP2lPaR9pf2pfa+9tv27/b29vf29/bv9s72ivYu9dT1kPVn9VH1QfUr9Q306vTQ9Mf0zfTW9Nr02vTa9Nz03vTe9OP07/UA9Q71FPUW9Rv1IvUp9S/1N/VB9Uz1VPVZ9Vr1V/VK9TX1IPUS9RD1E/UX9Rn1G/Ug9Sb1LPUs9SD1BvTm9ND0zPTX9OT05/Tf9ND0wfS19Kr0ofSb9Jb0j/SC9G/0W/RL9Dz0IfPy86zzWfMC8q7yWfIE8a3xWfEQ8NjwsPCK8Ejv1u857pXuF+3Z7dbt8u4P7hruEO337dnttu2I7Uns/eyv7GrsMuwH6+PryOu066jro+uo67Xrw+vQ69zr8OwO7DbsYOyN7L7s9u0w7Wbtk+257djt8+4N7ibuPe5R7mTue+6Z7rzu4O8D7yfvSe9k73bvg++T76Xvte/B78zv2e/n7/Hv9/AA8BHwKvBI8GjwivCv8Nbw/fEk8UzxdfGc8cLx6fIU8kLycPKe8s/zCfNI84nzx/QC9Dv0dvS09PT1OfWB9c32GfZm9rf3Dvdr98j4H/hy+MT5Hfl6+db6MfqO+u/7Ufuu/AX8XPy5/Rv9ff3d/j7+oP8E/2X/xAAjAIAA2gE1AZcCAQJtAs4DIwN1A8sEIwRxBLIE6wUjBVsFjwW+Be4GJAZeBpUGxwb2ByUHVgeGB7YH5AgQCDsIZAiMCLMI2Qj/CSQJSglvCZEJswnVCfkKHQpACmEKgAqiCsoK9QscCzgLTQtlC4QLnwusC64LswvAC8sL0AvqDEMM4Q2ADcANcAzCDBwLxwvAC9sL8wv/C/8L8wveC8sLwwvCC7oLrAuiC6YLswvAC88L6gwTDD4MYAx7DJ0MxwzuDQgNFw0pDUINVw1iDWkNeg2YDbcNyg3TDd4N9Q4UDjIOUg6ADsEPBg81D0IPQA9LD24Pmw+6D8kP3hAYEIAQ/RFfEXwRSxDiEGwQBw+6D4gPfg+sEBEQixD0EUURlRH/EnkS4RMhEzoTOxMpEwQS2xLAErgSsBKYEncSYBJYEkUSEhHCEXIRNxEOEOMQqxBrECkP5g+lD2oPOQ8RDu0Oyw6qDoMOUg4VDVAM+wyqDFoMDwvQC6ILgAtlC1QLTgtLCz4LHwr3CtMKtQqVCnYKYQpeCmoKcwpvCmEKVApUCl8KbQp0Cm4KYwpZClYKVQpVCl4KeAqgCsQK3ArqCvwLGAs5C1gLeAuYC7MLxQvUC/EMGgw8DEIMLAwOC/oL7AvaC8ELrQulC6ULnwuRC3wLZAtPCz8LNwsyCyQLBgraCqoKfApTCi8KEgn5Cd0JuAmLCVsJMAkNCPQI5AjaCNEIywjLCNII1AjICKsIiwhuCFEILggKB/EH4AfHB5IHSAb9BsIGmgZ8BmkGYQZkBmsGcQZ5Bn8GfgZyBmIGUwY+Bh4GAgYKBj0GcwZzBjUF9gYBBmIG0Qb5Br4GTgXxBdgGDQZ9BwAHZgeKB2sHJgbkBrMGhwZTBhcF2wWeBVgFBgS2BHQEQAQPA9sDpgN4A0sDEgLJAn0CPwIVAfUBzgGZAVoBEwDGAHkAL//p/6D/TP7r/of+JP3B/Vv88fyK/Cf7yPtr+xP6xfqA+jz58fmi+Vr5Hvjv+Mv4tPiw+Mb5Afll+fH6oftl/CH8rfzk/MT8d/w//D38YPx8/IP8jvy1/PD9Iv1A/WH9l/3P/eP9zP2t/aL9iP0b/ED7M/pb+ez5yPmx+ZL5ifmz+fz6J/oG+Zz5E/iY+D33/PfH95f3bvdW91L3VvdF9wj2mvYT9ZP1KfTT9JH0bvR99MH1F/VC9Qj0WvNb8lfxmfFJ8WPxxfI+8qLyv/Jq8Y/wSO7f7bDs8Oyd7Insi+yW7LLs4u0Y7ULtXu157Z/tzu337gnuAu3p7cfto+157UjtD+zW7KTsd+xH7BDr4OvW7AbsYuzL7THtmu4S7obu3+8h74XwQfFa8pfzsvSO9TP1svYL9j32UPZN9i716/WT9Uj1J/Un9SX1C/Td9K/0ivRs9Ff0UvRd9Gr0ZPRF9Bfz5POr82zzMfMJ8vjy7vLW8q/yivJ58nTybfJe8lfya/KV8sPy5PLz8vPy4vLK8rnytPKe8kbxmvDL8DLwBPAz8Ivw6fFD8ZPxyPHe8evyC/I98mryhPKb8sLy+fMz827zrfPh8/Pz6PPt9CD0UfQa80XyEfD68Efv3O957xLu1O7f7xzvWO9775jvw+/78CzwUfB38LHxA/Fr8ePybPMC85r0JPSW9PH1RPWc9fr2V/at9vn3NvdX91X3P/cz90j3eve19/b4Rvit+R75ifnv+l361vtL+6v7+vxL/KP8/P1P/aT+B/53/ub/TP+vABsAigDtATsBeQG0AfQCOgKDAtADIwN5A9MEKwR+BM8FJgWKBfYGWQarBvEHOweLB9sIIwhnCK0I7gkiCUkJdwm6Cg4KYgquCvILMgtkC38LiwubC7gL1wvpC+sL5gveC8cLiQsaCoQJ7AmBCWMJlQn5CnAK7At2DA4Mow0VDVgNfQ2XDbINzA3kDgIOKw5aDoUOpw7FDuQO/w8UDyYPOw9WD3cPpA/jEC4QbhCOEJIQjRB9EDYPhQ53DWIMnQwfC30KXQjuB90HxQiqCfgLCAuSC8AL1QvtC/0L9QvZC7ILgQtFCv4KtQpvCjAJ9Qm+CYYJRwkCCMAIjAhoCEkIJQf4B8QHjwdbByoG+gbJBpgGZwY2BgMF1gW5BbIFtAWiBWcFCwSyBHcEWwRJBCoD+gPBA4sDXgM7Ax8DBQLpAsgCowJ3AkICBwHTAbEBngGOAXcBWgE7ARsA8wDEAJMAagBHACYAA//h/8T/qf+K/2j/R/8s/xT++P7U/qn+f/5e/kX+K/4L/eX9xv23/bb9tf2r/Zv9jP1//XH9Yf1Y/Vr9ZP1s/W39Z/1i/V79Xf1a/VL9QP0q/SD9NP1k/ZX9p/2U/Xf9a/10/YD9ff1s/V/9Xf1j/WX9X/1W/VP9Uv1N/UL9P/1d/aL99/4w/iz98P2d/Vf9LP0V/Qb8+Pzq/N381vzb/Oz8/v0G/QT9BP0R/Sj9Pv1H/UD9Mf0r/UL9fv3L/gH+Av3a/bb9tf3U/ff+CP4N/hL+HP4k/ij+LP4z/jj+N/4x/i/+MP4w/ij+Gv4O/gv+Ef4c/ib+KP4g/hb+Dv4L/gb9+/3t/d39zP24/av9r/3A/cz9wf2k/Yn9gP2A/Xf9Xv0+/SX9Efz9/Ob80fzC/LP8n/yF/Gz8V/xD/Cr8Dfvy+9v7x/uz+537hvtz+2b7XvtV+0r7Pfsz+yz7IvsT+wD67/rg+tH6wPqu+p36jfp7+mn6WPpH+jX6H/oJ+fX54vnN+bn5qvmh+Zb5gPlg+T/5IPkC+OP4xPin+Ir4Z/g8+A/35vfA95n3cPdL9yz3D/bw9s32rfaP9m72SvYi9fv12PW19ZP1dPVV9TX1E/Tw9ND0sfSR9HD0UfQz9Bfz+/Pf88Tzp/OG82PzQvMk8wXy5PLF8qvyk/J08kzyIfH/8eXxz/G18ZnxfPFd8TfxDvDm8MPwpfCI8GrwTPAx8Bfv/u/m78/vuO+g74vve+9v72fvY+9g71nvS+847ybvGO8M7v/u9O7u7u/u8e7x7vHu9u797wDu/O717vbvAe8Q7xzvJO8o7y3vOe9N72Tvd++E74/voO+z78Tvze/W7+jwAPAY8CrwOfBO8HLwsfEX8Z3yHPJj8lryHPHf8cTxx/HX8ezyDvJC8oDyvPL28yzzWvN584/zqvPV9Ab0LvRJ9Gr0pvUF9Xj15/Y59l/2XPZJ9kP2V/Zx9nr2bvZm9nj2mvaw9qv2nvao9tL3Bfcn9zH3Lvco9xv3A/bl9sv2vPa29rf2v/bQ9uL26fbj9tX2xvau9n/2NfXg9Zj1afVR9UD1LPUR9PL02PTK9Mr01PTd9OL05PTo9O/0+PUD9RP1KfVC9VX1YfVm9Wn1bfVx9Xf1gPWH9Yv1jPWQ9Zj1nvWc9ZL1h/WC9YH1fPVv9V71T/VH9Uj1T/VV9VD1OvUa9QD09fT39Pr09vTn9NT0wvS19K30qPSk9J/0lPSA9Gb0TfQ99DP0IPP287DzWfMC8rLyZfIY8cjxePEu8PPwzPCu8HjwCe9g7qbuFO3S7djt/u4e7iPuEe3z7dXtue2b7XHtNuzt7KDsWOwa6+zrzuu866/ro+uc65/rreu968/r4+wB7CfsU+yA7LDs4u0X7UrteO2e7b3t1u3s7gPuG+4y7knuYu597pnus+7M7unvCu8n7z7vTu9e723vee+B74vvmu+s77nvv+/I79vv9vAU8DTwV/CA8Krw0PDz8RjxQPFr8ZTxuvHj8hHyQvJ08qjy3/Mb81jzlfPQ9Av0SPSJ9Mv1EPVY9aX19fZI9pz28fdJ96L39/hG+JX47flM+a36Cvpl+sT7J/uH++D8NfyN/Oz9UP20/hb+eP7a/z3/n//+AFkAsgEOAXMB4QJOArADBQNUA6MD8QQ1BGwEmwTLBP8FNQVrBaEF2AYQBkUGdAagBswG+QcnB1YHhAeyB94ICQgyCFkIfwioCNEI+wkjCUgJbQmSCbgJ3goFCi0KUgp1CpYKuwrjCwcLIgs3C0wLYQtwC3oLhAuRC5wLpwvJDCcMvw1TDYcNMwyEC90Lgwt4C5QLsgvDC8ULvAuuC6QLowukC5wLjwuIC44LnAupC7kL1Av4DBwMOgxZDIEMqwzNDOIM9A0JDRwNJw0uDUANYw2IDZwNnQ2fDbQN3w4QDjwOZA6MDrMOzA7QDscOxQ7XDvgPFw8zD1oPpBAVEJgRCRFEETkQ8RCGEBsPyQ+bD5EPrQ/0EFsQyBEjEW0RuhIVEmkSkxKGElYSIhH5EdwRyRHCEcMRwBG1EasRrhG4EbARiBFMERYQ7RDJEJkQXBAZD9YPlQ9YDyQO9g7HDpMOZQ5ADh0N7A2kDNgMfgwsC94LlgteCzwLKwsjCyELKAsuCygLEQryCtYKvQqfCn4KaQpqCnkKhgqECnYKaQpnCnIKggqLCocKdwpmClwKWwphCnMKlAq+CuEK8Qr0CvsLEAstC0gLYAt6C5YLrwvHC+UMCQwlDCwMHwwNDAML/QvyC+ELzwvDC7sLsQuiC44LdQtcC0gLPws8Cy4LDArYCp8Kawo+ChcJ9QnXCboJmgl2CVEJKgkFCOkI3AjdCOQI6QjrCOgI2Qi5CIsIXgg8CCAIAAfdB7wHnwd4BzsG8AarBncGVAY+BjMGNwZEBlMGZAZ3BogGigZ3BlYGNQYYBfwF7wYGBkQGfgZ9BjUF3wXQBiQGpQbuBr0GJgV/BTIFcwYlBu4HcweQB2IHIQbsBr0GhAZABgEFzQWYBVUFAgSrBF8EIAPpA7cDiwNkAzwDCwLOAo0CUgIjAf0B1wGpAWsBIADOAH8AOP/y/6f/U/76/qT+Tv3x/Yv9IPy5/Fr7/vuh+0X68fqi+k/59PmY+Ub5BvjU+Kj4fvhc+E74ZPil+Rf5tvp4+0H76fxG/Er8F/vm+9v77fv//Aj8HfxP/I78vvzd/Qj9WP23/fb+Af3w/eH9wf1c/Jf7ovrM+kL57fmi+Vr5Ovlj+b/6DvoW+cr5S/jH+Fz4EPfc97L3jvdw9133Tvcv9uj2b/XX9UH0yPRy9Df0H/Q79I/08PUO9Kbzr/Jo8Tbwa/Ar8Gfw9fGa8hnyOPHR8OXvpO5c7VbsuOx17GTsaOx57J3s1O0J7SztQe1Y7XztqO3L7d3t3+3U7b3tme1r7TrtBezM7JbsaOw77ADrtety61XrXutt62zrb+ue7AHsfOzz7X3uU++M8P3yWfNv9D/04vVl9cn2DPYp9hj12fWD9Tv1F/UM9P703/S49JX0dfRU9Dj0LvQy9DL0HfP388/zqvN98z7y/fLV8s3y0PLC8p7yf/J58ojyk/KR8pHypfLJ8u7zDPMo80TzUPNG8zTzKvMP8qDxuPCL75HvKu9X78/wTPC78R7xbfGf8cHx7fIs8mrylfKw8sry6/MW81LzofPq9An0AfQB9C30VvQT8zDx9/Dw8GHwGO/B70nu6u7d7xbvW++J76rv1fAO8ETwbvCX8NbxOPG48kjy1fNY88/0OvSY9On1NPWG9eT2R/al9vX3Nfdb92P3WfdX93H3pPff+B74avjM+Tn5pPoN+oL7Avt6+9n8Ivxq/L39E/1l/br+Hv6M/vf/WP+7ACgAmgEBAVYBmwHaAhcCVAKXAucDQgOeA/UERgSVBOgFQgWmBhAGcwbFBwoHTwedB+0INwh5CLkI9gkwCWUJnwnmCjYKhwrRCxILRgtoC3kLhgugC8UL5QvvC+QLzwuuC3ALBQpwCdIJWgkrCUoJoQoSCosLDAucDDIMug0jDWsNnw3DDdgN3w3mDf0OKQ5dDokOqQ7EDuAO/g8bDzUPTQ9nD4gPuA/3EDsQcBCIEIoQhxB6EDkPkg6PDYgM3wyYDEQLYQnwCJIICQiWCcgK6wuUC9QL7QwJDCIMJgwTC+8LvQt7CzAK5AqcClcKEwnUCZsJYQkjCOUIsQiNCHIIUwgqB/oHyAeYB2gHNwcEBs8GmgZkBjAGBQXuBe0F7wXUBYwFJgTDBIEEYQRRBDwEFwPiA6UDbANBAykDHAMOAvQCzgKZAlkCFQHbAbcBpQGXAYIBaQFQATYBFQDrAMIAoQCGAGgARQAf//3/3v+9/5r/d/9V/zL/Dv7n/sL+o/6K/nb+X/4//hj99v3i/dz92P3K/bP9n/2U/Yv9f/1x/Wj9av1x/Xb9df1x/Wz9aP1j/Vn9R/02/TX9T/14/Zb9lP17/Wn9c/2Q/af9p/2Y/Yr9h/2H/YL9ef1w/Wz9bP1o/Vz9U/1d/Yb9xv37/gb95v21/ZD9gP12/Wb9UP09/S79I/0X/Q39B/0J/RD9Hf0v/UT9WP1l/WX9Wv1W/Xf9yf4t/mv+Yf4k/e396v4R/jz+Tv5P/k/+V/5f/mL+Zv5u/nj+fv5//oD+gv6B/nr+bv5i/ln+WP5d/mj+b/5v/mb+W/5S/kn+PP4u/iL+FP4A/e396f33/gX9/f3g/cL9tv25/bb9of2A/WH9SP0x/Rn9A/zy/OH8zfyz/Jr8hPxu/Fb8O/wf/AT77fvY+8X7sfue+4/7hPt5+2v7W/tL+z37L/se+wv6+frr+t36zfq/+rP6qfqd+o/6gPpy+mH6Svow+hb5//np+dP5wfmy+aL5jPlw+VL5NPkU+PD4zviz+Jz4gPha+DD4C/fp98P3mfdw90/3MfcQ9ur2xfai9n/2V/Yu9gb14/XE9aT1g/Vi9UP1JPUG9Oj0yfSo9IX0ZPRE9CT0B/Pu89bzufOV827zS/Mv8xTy9/LY8rvynvJ58lDyKPIK8fTx3fHB8aTxhfFi8TjxDfDl8MTwpPCD8GTwSvA08Bvv/e/f78Lvp++O73rva+9i71zvWO9V70zvOu8i7wzu/+757vHu5u7c7tnu2+7f7uDu4+7n7unu5e7h7uLu6u727wDvB+8N7xjvKu9B71fvZ+9y74Dvl++w78Dvwe+8773vyO/a7/HwDfAt8E3wdvC78Snxq/IW8kTyOPIS8e3x1PHI8c/x8vIn8l/ykPK/8vTzKPNQ82rzhfOv8+L0D/Qx9FX0kPTr9WD12fY69m32c/Zm9mf2gPaa9pj2e/Zh9mn2i/ap9q/2qPav9sz28fcK9xX3Hvcs9zj3N/cl9wz28fba9sr2x/bP9tn22vbN9rn2oPZ99kb1/vW09Xv1WfVC9Sr1DPTv9Nv00vTT9Nn04/Tq9PH0+fUF9RX1KfVC9V71efWP9Z31pvWt9bL1tPW19bj1vfXC9cP1xfXO9d317PXy9e/16PXf9c71sfWM9Wj1TvVA9T/1SPVX9WH1XPVK9TP1H/UQ9QP09vTn9Nf0yPS99LX0rvSn9Jz0jfR39Fz0QvQ19DH0J/QB87jzXPME8rjyc/It8eTxmvFW8R7w8/DM8IbwAu9F7oLt+u3O7enuF+4y7jDuGO327dPttu2e7YLtV+0Z7M7sf+w26/3r2evG67rrq+ud65frn+uy68fr3Ov37BnsQ+xw7J7szez97SvtV+1/7aDtue3N7eDt9u4O7ifuQe5b7nPuiO6c7rTu0+7w7wbvFO8f7yrvNO8+70nvWu9s73rvhe+U76vvyO/l8ALwJPBN8HjwnvC+8OLxDfE98WnxkPG18d7yDfJC8nrys/Lt8ybzYPOb89n0G/Rh9Kb06vUu9Xj1yvYh9nf2zPcg93b3y/gb+Gv4w/kj+YX54vo7+pf6+Pta+7b8Dfxl/MT9Kf2N/e7+T/6y/xj/e//ZADIAjADsAVQBwAIqAokC3AMpA3IDtgPwBCEETgR+BLME7AUkBVoFjQXABfEGIAZNBnYGnwbJBvUHIwdRB38HqwfWB/8IKAhTCIEIrQjXCP8JKAlRCXgJmwnBCesKFQo5ClUKcgqWCr8K4Ar2CwULFwsqCz4LUQtjC3ELfAuVC9EMLwyGDJsMVwvdC3ILPwtBC1gLbQt8C4ULhguBC34LfQt8C3ULbAtrC3QLfwuJC5oLtQvXC/YMFAw3DGMMjAyoDLsMzwzlDPMM9gz+DRoNRA1lDXQNhA2sDeoOIQ47DkAOSg5jDn0Ogw52DmwOcg6DDpAOmw7CDyYPxhB3EP8ROBEhENoQgBArD+UPug+vD8MP9BA8EJAQ5BEwEXURuBHyEgwR7hGfEUAQ9RDOEMYQzxDhEPEQ+BD3EPcRABEIEQEQ6BDKELYQpRCHEFQQEg/ND4oPSw8UDukOwA6JDkUOBQ3XDbMNgQ00DHEMIAvYC5MLUQsfCwMK+Qr4CvwLCAsVCxULBgrvCtwKyAqtCo4KeAp2CoMKjwqPCoYKfAp4Cn0KjAqdCqIKlwqECnoKfwqRCqsKywruCwcLDQsHCwQLEQsmCzoLSAtbC3cLmQu6C9kL9gwMDBYMEwwLDAcMBgwFDAIL+wvwC94LyAuyC5wLgwtnC08LQws9CywLBArJCokKUQokCf4J2gm4CZYJdQlVCTQJDwjpCMwIxQjUCOsI+gj6COsIzQieCGcINggSB/YH1AerB4IHWwcvBvUGtAZ4BkoGKQYUBg4GGAYtBkMGWQZwBoQGhQZqBj8GFwX6BeoF6QYEBjwGbwZwBiwFzQWbBcYGMwaKBm8F0wUJBJ8E8QXkBvQHnAe1B3kHNwcMBt4GlwZABfYFwQWSBVMFBgS1BGsEKQPvA74DlQNvA0QDEwLcAqICZgIuAf4B0gGhAWEBEwDBAHYANf/z/6j/VP7//q7+Xf4F/aL9O/zW/Hf8Gvu8+2D7Cfqx+lT57/mL+TT48fi++I74W/gl9/j36PgH+F346fmb+l37DvuL+8L7vPud+4L7dPtu+3D7jPvH/A/8Sfxz/Kr9BP1z/cv97P3g/b/9i/0s/JT72vsn+pD6DPmP+Sb4+fke+X753Pn9+cz5XPjW+Fj38/eo93D3Rvcg9v723Pay9nL2EPWU9Rf0sfRo9DX0HvQ29IH01PTX9ELzGvG18ILvzu+k7+jwb/EH8XXxf/EI8CDvAO3r7RXslOxb7E7sV+xy7J7s1u0G7SPtMu1G7WftjO2p7bvtx+3L7bvtk+1e7S3s/ezG7IfsT+wh6+zrn+tE6vfqxOqY6mTqQOpZ6rvrPOu07DHs7+4O72PwofGc8mfzJvPc9HL0zfTu9Ob00vTL9Nz0+vUG9Oz0uPSJ9G30WPQ59Bf0B/QL9BH0BfPm88PzovN38zjy9PLE8rTytPKu8p7ylvKj8rvyyvLL8s/y5vMH8yDzNPNW84zzvPPK87rzpvOB8v/x4fBX7vzuYe6X7zbvzPAz8IXw2PEp8W3xrvH38kPyg/Kv8sny3fL68zTzjfPk9A70CfQF9Cr0T/QP8z3yIvFB8NPwnPBA77LvNO8J7yrvYe+J76nv1vAT8FTwjvDL8R7xkvIh8rfzOvOh8/b0R/Sa9On1MvWA9d32Rfaq9wH3Rfdy94X3hveL96X31fgM+Ef4kPjv+Vn5w/os+qP7Jvuh+/78Q/yG/NX9Kv1//df+Of6i/wf/Y//FADUAqwEZAXUBxAIKAkUCfQK9Aw8DbgPJBBcEXwStBQUFYgXCBiUGhgbcBygHcAe9CAoITwiLCMUJBAlHCYoJzQoVCmMKsgr5CzELVwtrC3oLjwuyC9gL8AvxC9wLuAt7CxcKiAnnCWMJIwkzCYAJ6gpaCtALUgvdDGEM0A0rDXkNvA3qDfoN9Q31DgwOOA5pDpIOsg7PDu0PDg8vD0sPYg94D5YPxxAGEEUQcxCJEJAQkxCJEEwPsw7HDdkNUw1LDVMMyQtyCc0IuAi5CZkKsQt3C9UL/gwdDDgMQQw1DBcL6AurC2kLKQrpCpwKRQnzCbUJhQlVCR0I5Ai4CJgIeghVCCsH/wfVB6YHcQc4BwAGygaWBmIGNwYdBhEGAAXUBYQFIgTJBI0EaQRSBDwEHwP0A7wDgQNTAz0DOAMwAxoC8gK4AnECJgHmAb4BqgGcAYoBdAFiAVEBPAEgAQAA4wDIAKkAgwBaADIADP/n/8P/n/92/0n/G/71/tr+xv6y/p3+h/5u/k7+Kv4N/fz98f3h/cn9s/2m/aD9mf2N/X/9dv1y/W/9bf1r/Wr9a/1p/WL9U/1F/UP9Vf1v/Xv9c/1k/Wf9hf2q/b79uv2s/aT9pf2l/aL9nf2b/Zz9nv2e/Zj9iv1+/YD9lP2r/bP9rf2s/cP96v4H/gz+AP3y/d/9tv10/S/9C/0V/T39Zf19/Yj9kf2a/Zr9i/2C/Z/97v5O/ob+eP4//hb+I/5W/oP+kv6P/pD+mv6j/qX+pv6t/rn+wv7G/sj+yv7I/sT+v/65/rH+p/6k/qr+tf67/rb+qv6e/pL+hf57/nL+af5W/j7+LP4q/iz+I/4M/fb99P3+/gH97f3K/af9jP10/Vv9Q/0u/Rv9Bfzt/NL8t/yc/IL8avxR/Df8HvwH+/T74vvO+7v7q/ud+437evtn+1j7S/s8+yr7GvsM+wH69frq+uP63PrT+sT6s/qi+o76cvpR+jD6E/n6+eP5zvm6+aX5jvl1+V/5SPkr+Qn46PjO+Ln4n/h7+FP4MPgQ9+z3wPeV93D3UPct9wb23va59pP2afY+9hb19vXZ9br1mfV49Vn1O/Uf9QD03vS69Jf0dfRV9DX0F/P/8+fzyfOi83rzWfM/8yfzCvLp8sjypvJ/8lfyNPIb8gXx6/HL8anxiPFi8TjxDvDq8Mrwp/CA8F7wRvAy8Brv+u/W77XvmO9/723vY+9d71jvUe9I7zrvJe8K7vHu5O7i7uDu2e7P7svuzO7P7tDu0O7R7tHu0O7P7tDu0+7X7tvu4e7t7v/vF+8v70PvT+9W72Tvf++h77jvuu+t76Dvnu+p78Dv4vAI8CrwSvB48MbxMvGg8fXyJPIw8h7x8/HF8bLxzfII8kbyc/KW8r/y8fMi80rzcPOc883z+PQd9Eb0gPTV9UH1tvYb9lr2b/Zy9oD2oPa59rD2iPZi9l32evad9rH2vPbN9ur3BfcR9xP3Hfc491v3cfdt91D3JPb49tT2wfa/9sX2xva79qf2ivZh9ir16vWt9X31WfU29Q705vTN9Mf00fTf9Or08/T99Qv1HfUx9Uf1YPV+9Z71t/XG9c311PXf9en17PXq9er17/X29f32BfYV9ir2PfZD9jv2JvYD9cz1h/VF9Rf1AfT99QP1E/Us9Un1X/Vl9Vn1QPUj9Qz0/fT09On02/TO9MX0vvSz9KT0kfR99Gf0U/RK9Ev0R/Qh89Lza/ML8sDygvJG8gbxyPGN8VfxJfDp8IXv4+8R7k/t3e3M7fbuIO4t7iPuDu3z7dPts+2b7YTtYe0s7OjsnuxW7Bfr6OvM677rtOup66Lrp+u268nr2uvv7AzsMuxe7Izsu+zp7RPtOu1d7X7tmO2u7cLt2e3x7gnuIe457lDuZO527ozupe697s3u1u7c7uPu7u747wTvEu8j7zTvR+9f73vvl++y78zv7PAU8D7wY/CF8Kzw2vEN8T3xZfGK8bDx3fIS8kzyh/K/8vbzLfNo86rz8fQ79IT0yPUI9Uv1mPXu9kX2mfbs90H3mffu+EP4mvj4+Vj5tPoL+mT6w/sl+4X74Pw8/J79A/1n/cf+Jv6K/u7/T/+qAAMAYQDHATEBmQH6AlMCpALwAzQDcAOlA9UEBQQ4BG8EpwTdBQ8FPQVrBZoFygX5BiMGSQZvBpcGwwbwBx8HTgd7B6cH0ggACC8IXQiICLEI2wkGCS4JUAlyCZkJwwnoCgQKHgpACmkKjgqoCroKzgroCwMLGwswC0ALTAtWC2YLgAuUC4wLYwsvCw4LCgsWCyILKws5C0sLWAtcC1gLVAtPC0sLSQtOC1YLXAtiC3MLkQuzC9EL7QwSDD0MYgx6DI4Mpgy+DMoMzAzaDPwNJA0/DV0Now4ZDosOtg6KDj0OFA4hDj0OQg4yDigOMg49DjwORg6QDzgQGxDnEU0ROxDdEHQQJw/6D+EP1g/fD/0QKhBcEIwQvhDzESkRVhFmEUoRAhChEEgQEA/8EAIQFxAxEEcQUxBVEFYQWhBdEFkQTxBLEE0QRxAqD/MPsQ9vDy8O9A7GDqUOhA5LDfsNrA1zDUgNFAzIDBkL2AuhC2cLLAr8CuEK1grVCt0K8AsFCwwLAgryCuUK2QrFCqgKkAqJCo8KlgqYCpMKigqCCoIKlAqwCsMKvwqsCqIKrgrMCuwLCAscCycLIgsVCwwLEQsgCywLNAtBC1wLgQunC8UL2wvtC/gL/Av7C/sMAQwNDB4MJwwhDAYL4Qu/C6MLiQttC1QLRQs6CyQK9Qq0CnAKNwoMCeoJygmmCX8JVwkzCRAI6wjFCKkIpgi7CNgI6QjmCNIIsAiBCE0IHwf7B9sHsAd5B0MHFAbrBr0GigZZBjAGDgX3Be8F+QYPBigGPwZWBmgGaAZQBikGBAXtBeQF6AX9BiEGQwZEBhAFtQVjBU4FggXJBcQFRASIBCgEmgXIBxQH3AfzB6cHWwcsBvcGogY7BecFsgWGBVAFDgTKBIcERwQNA94DtwOPA18DKALvArYCeQI5Af0BxgGNAUgA+QCpAGQAKf/u/6r/XP8J/rb+Yv4K/a39Tfzs/Iz8LPvO+3L7GPq6+lX56/mE+Sn44Pim+HL4Off397T3hfeG98T4O/jY+Yb6MfrC+yD7QPsr+v/61fq9+r363PsY+2H7pvvj/CT8e/zi/T39bP1j/S382/x9/BX7pPsn+pr5/flm+PT4yfjr+UD5lfm7+Z35RfjL+EP3u/c+9tj2kPZe9jX2C/Xh9bT1fPU39Oz0qfR19En0LvQ59HX0tvSg8+nyoPEw8BHvge9x77LwGfCD8MTwr/Ax72TufO2n7QLsluxh7FbsaOyL7Lrs7e0X7S3tOO1J7WXthO2c7a7tv+3I7bfthu1K7Rns8uy/7HjsLuvz67/rd+sW6rLqXOoP6cPpjemS6dTqKepv6r7rUOw67UTuK+7j76DwivGE8kfyqfK98sLy8vNi8/f0evS79LX0kPR89IL0iPRy9En0LvQw9D70PfQk8//z1/Os83fzO/MG8uTy1/LZ8uHy8fMG8xnzIfMl8zTzVvN484bzhvOY89L0GfRD9En0Q/Qm85vyTfBm7qTtzu4M7tfvgu/S7/zwQvCp8Q/xYPGn8fPyQ/KH8rXyz/Lt8yjzgvPa9ATz//P89B70QfQM81nybPG58WfxN/DV8Dnvqe9g713vde+M76rv3fAm8Hfwy/Em8ZDyDfKY8x/zjvPe9Bz0YPSu9P/1SfWV9e/2Vva79xD3VfeI96f3tffA99r4Bfg4+HD4uPkX+YP57/pb+tX7WvvS/Cj8Yvyb/Of9P/2a/fb+V/67/xn/c//TAEQAuwEsAY8B5wI0AnQCrgLyA0kDqQP9BEAEfwTKBSMFfwXaBjgGmgb6B1EHnwfpCDAIcAiqCOMJJAlqCbAJ9gpACpIK4wsoC1QLbAt8C5ELsQvUC+sL7wvjC80LpwtfCuUKRQmqCUkJPwmECfEKYgrLCzkLswwwDJsM7A0zDX8NyQ37DggOAQ4EDh0ORA5sDpIOug7iDwcPKA9ID2QPeA+HD6APzhAMEEcQchCNEJ8QqhCjEGoP4Q8PDjwN1Q4HDnIOWA1BC3UJ1wktCY4KdQtKC84MFAw8DFMMVgxJDC0MAQvLC5YLZwszCuYKggoiCeAJtwmOCVUJFAjeCLsIngh6CFIILAgHB9wHpQdoBy4G+gbHBpMGYQY5BhkF8wW4BWcFFQTTBKYEggReBDoEGQP3A8wDmgNxA1sDVANKAzIDCgLSAosCPQH3AcoBtQGoAZkBhgF3AW8BZwFZAUMBKQEIAOIAuACNAGMAOAAO/+j/w/+W/2H/L/8N/v3+8v7e/sL+qP6T/nv+Wv42/hz+DP39/en90P28/bD9q/2m/Z79kf2B/W/9Yv1d/V/9Zf1q/Wj9Xv1T/VD9Wf1m/Wr9ZP1h/XH9kv2u/bT9qv2i/af9tf3A/cf9zP3S/dT91f3W/dX9yf2w/ZX9hv2B/YD9iP2r/fP+TP6V/r/+1/7k/tP+hf4D/Yf9Uv1z/bz98/3+/fH95/3j/df9vP2m/bX98f47/mT+W/47/jP+V/6O/rX+wP7A/sr+3f7q/uz+6f7t/vj/A/8L/xH/E/8S/xD/Ef8T/xL/CP7+/v3/A/8H/wH+9f7o/tz+z/7C/rj+sP6k/pD+ev5s/mL+VP5B/jb+O/5J/kz+N/4U/fD91f29/aT9iv1w/Vj9Qv0q/RH89PzV/Lj8oPyL/HT8W/xC/Cz8F/wA++n71fvE+7L7nfuJ+3z7dPtq+137T/tD+zn7L/sj+xn7EPsD+vD62frC+qr6i/po+kT6JvoN+ff54vnM+bX5nPmF+XL5YflL+S35D/j1+N74wvic+HP4T/gv+Ar34Pez9433a/dI9yL2+/bV9q72gvZX9jD2EfX09db1tPWT9XT1VvU39RT07fTG9KL0gfRi9EP0J/QO8/Tz1POs84XzZfNN8zTzFfLy8s/yq/KF8l/yQPIq8hTx9/HT8a7xivFk8TvxFfD18NXwrvCC8FzwQfAs8BPv8u/O763vj+9172TvXe9b71XvR+827yPvDe707tzu0O7P7tDuze7H7sPuwu7C7sDuve667rnuue657rvuu+657rnuv+7P7uTu++8S7yXvMO807z3vVu9775vvp++f75Pvke+b763vwu/b7/bwGvBO8JTw5/E98ZDx4fIh8jjyGPHX8abxrfHo8i/yY/KC8p/yyfL98zTzaPOW873z3/QE9Df0ffTV9Tr1o/YB9kT2Z/Z69pL2tfbN9sP2mfZs9lz2b/aU9rb21Pb09xb3Lfcv9yf3K/dK93n3nPee9333R/cP9uH2xPa49rf2tPaq9pP2cfZF9hH12/Wp9X31UvUj9PH0yfS39L700fTl9PX1A/UW9S/1SfVg9XP1hvWd9bf1zfXb9eb18/YF9hP2GfYY9hr2JPYy9j/2S/Za9mv2dPZv9lb2JvXd9Xn1DfS19If0gvSW9LH0z/T29ST1T/Vq9Wz1WPU89Sn1JPUj9Rj1AvTs9OD02/TR9L70qfSY9Ij0dvRr9Gv0ZvRB8+zzfPMU8sjykfJe8inx9PG/8YnxUPEH8JXv5u8O7lDt6+3o7hHuK+4m7hTuBu337d3tvO2e7YTtYe0t7O7sruxw7DHr9+vN67nrsuuv667rsuu868jr1evo7APsJexO7Hvsq+zb7QTtJO1A7Vztdu2Q7ajtwO3X7ezuAO4V7ivuP+5Q7mDuce6B7o3ulO6a7qPure617rzuxu7U7unvA+8g7z7vWu9175Hvs+/Z8ADwJvBL8HXwo/DU8QXxM/Ff8YrxuPHr8iPyXPKU8snzAfM984DzyPQT9F70o/Ti9SL1afW69g/2Y/a29wz3ZvfA+Bn4cvjN+Sr5hfnc+jP6j/rv+0/7rvwO/HL82P07/Zv9/P5e/sD/Hf91/88AMgCeAQoBbAHDAhQCYwKuAu8DJQNVA4YDuQPvBCQEWQSLBLoE6AUUBUIFcwWjBc0F8wYXBj0GZwaUBsIG8gcjB1EHfgerB9oICAgyCFkIgQitCNkI/gkfCUIJaQmPCbAJzgnxChoKQgphCnkKlAqyCs8K5gr3CwYLEAsRCwkK/ArrCtcKxAq9CsgK3ArpCusK7wsACxkLLQszCzALKQskCyILJAsrCzELMws4C0oLawuOC6oLxAvkDAoMKgxADFgMdgyRDJ8MqQzDDO0NEQ0rDWMN6A6oD0QPYg8JDp4Oeg6dDroOnQ5VDhoOBA4FDhIORQ7JD5wQgBEYETMQ5BB1ECUQBxAFEAMP+w/9EBAQLBBDEFAQYRB+EKIQtxCnEHEQIw/bD6wPlw+SD5QPmg+lD7IPug+6D7kPvA/BD8YPyw/UD9oP0Q+tD3UPOQ7/DsUOjg5lDk0OMw4ADbANWw0YDOUMrAxkC8oLmwt0C0gLFArlCsUKtQqxCr4K3Ar8Cw0LCQr8CvYK8grkCsoKrwqgCp4KogqkCqAKlgqJCogKngrHCucK6ArSCsQK0wr3CxoLLQszCzILKQsbCxALEQsbCyULKQsxC0YLaAuNC6kLvQvMC9gL4AvjC+cL8gwJDCcMPgw8DB0L7gvCC6MLiwtyC1sLSQs4CxwK6gqmCl8KJAn6CdwJwgmiCXoJTAkgCPoI1QiyCJcIkQigCLUIwAi7CKgIiwhiCDMICAfiB7oHhAc/Bv0GywapBokGZAY8BhUF9AXbBc4F0wXnBgAGGAYtBjsGPQYuBhEF8gXcBdQF2QXnBfgGBwYGBeYFnwU+BPEE3wT6BPsEoQQQA9MEZwW5ByoICQgjB84Hcwc0BvAGjAYfBcwFnAV4BU0FFwTeBKEEYQQlA/cD0wOsA3kDPAL/AsQChgJDAgABwQGBATkA6gCcAFgAH//q/7D/bf8e/sb+af4N/bP9WPz7/Jr8Ofvb+4D7I/q/+lX56vmE+Sj41/iP+Ez4Bve392X3JPcQ9zv3m/gf+LT5UPnj+lL6hfp4+kf6GfoG+g76KvpU+or6yfsH+0P7hfvV/Cv8bPx2/Dz72Pt0+y76/Pq8+lH5wfky+M/4rfjG+QD5OflU+UP5B/ip+Cv3jPbb9jn1xPV/9VX1MfUP9PL02fS69JL0aPRF9CT0DvQY9E70hvRj85jyPPDG77fvRe9M74vv1vAU8Crv+++D7uDuN+2f7SDswOyK7IDsl+y97OjtFO067U/tVu1f7XLtje2k7bbtxu3K7bHteO017QXs4+yz7GbsDuvD64XrOurX6mrqBemo6UzpAujh6Ojo8+j16RDpeuov6uzrf+wD7Mft6e8k8Arwa/B38I7w9vGx8orzQvO28/T0KvR79Nj1FfUW9O30w/Su9Kf0l/Ry9EP0GfP489nzsPN+81PzRPNV83bzkPOd86PzqfO1883z8vQT9Bjz//Ps9AT0Q/SE9K/0zfTG9D3yz/Ce7oLtbu2n7pLvVu+d767v7vBr8OjxOPFo8Z/x7vJF8ovyvfLr8y3zg/PP8/Hz7fPu9A70KvP482Dyo/Ie8ebxvPFZ8L7wKe/N76nvoe+q78vwCvBd8L3xKPGe8hnykvMI83Xz0PQV9E70jvTd9S71evXF9hz2e/bU9x73XPeS97332Pfs+Aj4Mfhi+Jn44flB+bD6IPqU+xL7l/wI/FH8fPyq/PP9Uf2z/hL+cP7P/yn/gv/iAFEAyAE7AaQCBQJbAqIC4AMmA34D3QQuBG0EpwTwBUYFoAX4BlMGtwceB3sHzAgTCFcIlwjUCRAJUAmTCdYKHgpuCscLGwtZC3wLjQuhC8EL5Qv7C/cL4QvJC7YLmQtVCtoKOwmqCV8JcwnYCl0K3AtKC7UMKQyVDOMNEw0/DXoNvQ3uDf8OBA4RDioORQ5hDokOvg70Dx0POw9ZD3gPjg+bD64P1xAREEgQcBCPEKsQwBC9EI0QGg9lDqoOWA61D3sP3Q8kDVkLTwn+CcgKXwssC84MMAxiDHIMawxZDD8MFwvjC64LhAtZCxQKtwpbCh0J9QnICYQJOAj9CNgIugiVCGwISQgtCAsH2geeB2EHKgb1BrwGgQZNBiAF7wWuBV8FFwTmBMYEpgR5BEkEIAP/A94DtwOTA3oDagNYAz0DFwLmAqYCWgITAeQBzgHDAbUBowGVAY4BiwGFAXcBXwE7AQ8A4QC2AIwAYQA1AAz/5f+4/4P/Uv82/y7/Jv8P/uv+y/61/qH+hP5g/kH+Lv4j/hL9+P3a/cP9t/21/bb9rv2Z/X39ZP1Y/Vn9X/1j/WP9X/1a/Vn9YP1r/XD9bf1t/Xj9jP2Y/ZX9jP2Q/aP9vf3T/eX99/4D/gX+AP38/fr97v3S/bD9mP2M/Yn9k/28/gz+cP7L/xX/XP+c/6r/Xv7K/kH+E/5E/o7+qv6Q/mn+U/5E/iT97/3G/cf98P4i/jr+Of44/lD+gv6z/s7+1f7d/vP/D/8i/yX/I/8k/y7/PP9N/1z/Z/9o/2T/ZP9r/3H/bf9j/1v/WP9U/0n/O/8v/yX/GP8F/vX+7P7m/t3+z/7B/rH+nv6L/oD+g/6M/or+dv5W/jf+Hf4G/ez90P20/Zj9f/1o/VP9Of0a/Pr83/zJ/LT8mvx+/GX8TPwz/Bn8BPvz++H7y/u3+6n7ovua+4/7g/t4+2/7ZPtU+0T7Nfsj+wv67/rT+rf6mvp6+lv6QPoq+hX6Afns+dX5u/mj+Y75fPlo+U/5M/kZ+P/43/i4+I74Z/hF+CD39/fO96j3hPdh9zv3Ffbw9sj2nfZz9k/2MPYR9e/1zPWr9Y31bvVL9ST0+vTR9Kz0ivRs9E/0NPQa8/7z3PO0843zbfNS8zbzFfLy8tDyrvKL8mjyS/I28iDyAfHb8bTxkPFr8UXxIPEB8ODwtvCH8F7wQPAn8Arv6O/G76jvjO9w71zvVO9T70vvOO8g7wvu+O7m7tbuzO7K7srux+7C7r3uuu617rDuq+6o7qTuoe6h7qPuo+6f7p7upu627snu2u7t7wDvD+8V7xfvJe9D72Xve++C74XvkO+h76nvou+Z76Tv2PAy8Jjw6/Eg8UvxivHg8ifyNfIH8crxtvHZ8hryVPJ58pPytfLo8ybzYvOQ86zzw/Po9Cn0g/Tp9U71rvYE9kf2cvaN9qb2xPbY9tD2qvZ79mL2bfaS9r/26vcS9zb3TPdP90b3R/di94/3s/e095D3Wfci9vf22fbE9rX2pvaR9nL2SfYb9ev1vfWS9Wf1OfUI9Nz0v/S49MP01/Ts9QD1GPU09VH1avV89Yj1kfWd9bD1xvXd9fT2DPYj9jT2PPY/9kj2WPZr9nj2fvaB9oH2efZh9jT17PWI9Qr0ifQo8/30B/Qx9GT0mfTP9Qj1PfVi9W/1Z/Vb9Vz1a/V29Wn1RvUi9RD1CvT+9OX0y/S49KX0jfR39G30aPRI8/nziPMe8tLyofJ38kryGPHj8anxbPEn8MHwHu9M7ozuI+4b7j3uS+447h/uFe4M7fTtzu2o7YjtX+0m7Ofsr+x87EXsCOvU67Xrquuq663rseu468Hrzuvk7AHsIuxE7GvsmezL7PftFu0u7UbtYe177ZPtqO267crt2u3s7gHuFO4h7inuMu487kbuUe5b7mbucO517nfufO6J7p/uu+7Z7vbvFO8071bve++f78Pv6PAR8D3wafCV8MPw9vEs8WDxkvHD8fnyMPJo8qDy2/Ma81zzn/Pl9Cz0cvS29Pj1PvWM9eD2M/aG9tz3NveS9+/4Svim+QL5XPmz+gj6YPq7+xn7efvb/D/8pP0I/Wr9zf4w/pD+6v9C/6EACQB4AOIBPQGMAdgCIwJqAqYC1wMFAzYDagOfA9EEAQQyBGMEkgS/BO0FHAVMBXYFnQXCBekGEwY+BmoGmgbMBvwHKQdVB4IHsAfaCAAIJAhPCH4IqwjRCPMJFQk6CV8JhAmrCdUJ/goiCkIKYQqBCpwKsAq9CsYKywrJCr0KrAqaCooKggqHCpgKqwq1CrgKvwrRCukK+wsACv4K/Ar6CvgK+Qr+CwILBAsLCx8LQAthC3sLkQuuC84L6QwADB0MQQxgDHMMiAywDOMNBw0hDWsOEg7zD6UP2g+7D7cQCRBzEIIQBw9BDpMONA4gDkwOwA98EE8Q6REOEMcQVxAHD/UQDBAfEBUP9w/hD+UP9Q/9D/cP8w/+EBQQHRAGD9IPlw9vD2APXg9ZD0sPOQ8uDywPKw8pDycPLA83D0cPVw9lD2gPVQ8tDvkOxQ6RDlkOHw3zDdoNxA2aDVUNCAzFDIsMTQwJC4ULZAtMCy0LAwrXCrIKmQqQCp0KwgrtCwgLDQsHCwcLCAr/CuUKxgqyCq4Kswq3CrQKpQqTCpAKrAreCwgLDgr3CuQK7gsOCyoLNAsxCyoLIgsZCxELEQsZCyELIwsnCzULTgttC4cLnAutC7oLxQvMC9IL3wv3DBcMMAwxDBUL5gu8C6ELkQt/C2kLUQs4CxcK5QqkCl0KHwnxCdMJvAmhCXsJTAkdCPUI0QiwCJUIiAiJCJAIkgiMCH4IZQg+CA4H3QeyB4MHRAb5BrMGhQZrBlgGPwYeBf4F4AXHBbcFtQXEBd0F9wYJBhIGEwYJBfQF1gW7Ba8FtwXGBdAFzwXKBb0FlAVCBNwEkwR8BG4ELgPMA7QEUgWeBwQH5AgLB8MHbAclBtQGaQX/BbYFjwVxBUsFHATqBLEEcAQyBAMD4QO9A4oDTQMOAtMClQJRAgsByAGFAT4A8ACiAFoAHP/o/7X/ev8u/tL+b/4Q/bf9X/0A/J38O/ve+4T7JPq9+k/55fmD+Sn41Ph/+Cf3zPdr9wz2wfai9rj2/vdj99r4Xvjn+Vj5lPmV+Xf5Yvlo+YD5lfmi+bT50/n5+hj6Nfpj+rH7Bfsx+xL6u/ph+jL6KfoX+df5b/kE+Lv4nvik+L341/jh+NL4qfhn+AD3Zvai9dr1QfTm9Lj0l/R59GH0TfQy9Azz6fPU88vzyvPe9BD0PfQO8z3x4fBx73DvDu8j72Pvn+/C773vg+8d7qXuNO3K7WLtB+zP7Mbs3ez87RztQe1l7Xztf+197YftoO287dHt3O3Y7bntf+087Qjs4eyr7Fjr9uue61Lq/+qZ6i7py+ls6QvosOhv6ELoE+fh59boHOih6STphOn06sjsCO1U7jjuku6l7tLvRu/t8JjxLPGz8k7zFfP59Mv1WPWS9Y71bvVB9Qr0zfSR9GP0SfRB9Dv0IvPx88TzvvPm9Bj0LvQn9CH0LPQ/9E30XvR39IL0YPQb8+Xz5/QZ9Fb0hvSJ9AbyofBy7kTtFe1C7jrvFu9w74/v4vB08PnxN/FE8VvxnfH58lHymfLc8yjzd/O0887z0PPZ8/f0BfPN80nytfJZ8jvyG/HA8TLwp/BH8BLv+e/+8CfwbvDF8SXxlvIW8pTzAvNh87j0B/RL9Ij0y/UZ9Wz1ufYE9lT2qPbz9zD3Z/ed98/38/gP+C74VviG+L35Bfll+db6Sfq/+z77wPwp/Gj8i/y2/QH9ZP3J/ib+gP7c/zj/lf/3AGYA2wFQAb8CJwKGAtMDEQNQA58D+ARMBJME1AUeBXEFxwYcBnUG1Qc4B5QH5ggwCHcIuwj8CTsJegm8CgMKUwqtCwgLVAuFC58LsgvPC/MMEgwWC/8L2gu6C6ELfws5CsYKNQmyCW8JjAn/CpwLNwu6DC8MoA0ADTkNSw1WDXQNpg3VDfUOEA4tDkUOUw5iDokOxw8EDyoPQg9iD4sPqQ+3D8UP6RAeEFAQdRCVELcQ0RDTEK8QVQ+/DxoO1A9OEF8RNhDnDzkM5QsCCjkKcAsfC8kMOwxvDHkMbwxmDF4MRQwSC9QLngtxCzkK8AqlCm0KPwoFCbMJXQkbCPAIywihCHcIWwhLCDUIDAfPB4sHSwcQBtMGmQZqBkcGHwXhBY4FPQUEBOQEyASfBGwEPwQcA/wD2QOzA5QDegNhA0UDJAL7AsMCfgI7AgwB8gHkAdYBxAG0AagBnwGWAYoBdwFXASoA+QDNAKUAfQBRACf//v/U/6b/fv9m/13/Uv83/xD+7f7W/sP+q/6M/m3+V/5H/jj+Iv4F/ef9zv3B/b/9u/2p/Yv9bv1f/Vv9Wv1X/VT9Uf1S/Vf9Yv1v/Xj9dv1v/W/9df17/Xv9ff2L/aX9wv3a/fL+DP4g/iX+Hv4U/gr9+v3f/cT9tf2z/bP9tv3N/gP+Sv6S/t//Rf+6AAf/9P+Q/y7/Ff86/1T/Of8B/uP+5/7e/qH+QP30/eH9+v4W/iL+Kv5C/nH+qP7R/uX+7f76/xT/Mv9J/1P/Vf9Y/1//b/+G/6H/tf+7/7f/tf+7/8T/xf+9/7P/qv+g/5L/g/94/3H/Zv9U/0H/NP8t/yj/IP8U/wT+7/7X/sX+vv6+/rr+q/6U/nz+Zv5O/jb+HP4B/eT9xv2r/Zb9gP1j/UH9Iv0I/PD81Py2/Jn8f/xl/Ez8OPwp/Br8Bvvw+9370PvF+7b7p/uc+5P7hvtz+1/7TPs5+yH7A/rj+sX6qPqO+nb6YPpN+jn6JPoP+fn54fnI+a/5mPmC+Wr5T/k0+Rj49/jQ+Kb4fvhZ+DP4DPfm98P3n/d591H3K/cF9t32tPaN9mz2TfYr9gT13/W99Z71ffVX9S/1BvTe9Lj0lfR29Fr0P/Qj9Abz5PO+85fzc/NU8zTzEvLw8tDysvKR8nDyVfI/8ijyCPHh8brxlvF08VDxLPEK8OXwuPCJ8GHwQ/Ao8Abv4e/A76Tvie9s71bvSu9E7zrvJe8N7vru7O7h7tfu0e7P7svuxe6+7rfur+6m7p7um+6Y7pPujO6J7ovujO6J7onuke6h7rDuu+7J7t/u9e7+7vru+u8M7yrvRe9W72jvgu+a75vve+9P70bvh/AR8LDxIPFD8TjxQPGD8enyNvJB8hnx8PHq8gryOfJj8oXyqPLX8xPzUfOA85rzrfPS9Bv0gfTx9Vz1u/YQ9lf2ivao9rz2zvba9tT2tfaK9m32c/aY9sv2+vcg90L3W/dn92b3afeA96f3xvfD95z3ZPcz9w/28vbW9rn2mvZ39k32IPXy9cj1oPV39Ur1HPTy9NP0xPTH9NX06PUA9Rz1OfVS9WP1bfV19X71h/WS9aT1v/Xf9gD2HPYx9j/2SPZR9l/2cvaC9oj2g/Z29mT2S/Yk9ev1nfU29Lv0QfPh87PzufPj9CD0Y/Sm9Ob1H/VM9Wb1cfV69ZH1tfXR9cv1pvV89WH1UvU89Rf08fTU9Lf0kPRq9Fj0V/RF9AHzlvMt8uPyt/KU8mzyPfID8cLxhPFN8P/wcu+j7tLuUe467lnuZ+5S7jbuKu4j7grt3+2z7YztX+0h7ODsqex+7FDsGuvm68Lrr+un66frrOu0677rzevl7APsIuw+7F3sh+y67OjtC+0l7T/tW+107Ybtku2c7afttO3D7dXt5u3x7fXt+O387gTuDu4a7ifuMu437jnuPe5K7l/ueO6U7rDuz+7y7xnvP+9h74PvqO/U8APwL/BX8ILwtvDw8SnxXfGP8cTx/fI48nXytfL38zjzdvOz8/T0OvSC9Mr1E/Vh9bP2B/Zb9rD3CPdl98T4I/iB+Nz5NfmK+d76MvqK+ub7R/up/Av8bvzS/Tf9nP3+/lz+tv8U/3r/5wBVALkBDwFbAaMB6AInAlsChwKzAuUDGwNPA4ADrwPgBBIEQgRuBJkExgTzBR4FRwVvBZkFxQXuBhcGRAZ2BqkG1wcBBysHWAeGB64H0gf6CCkIXAiHCKgIxgjoCQ8JOAlhCYwJtgnfCgQKJgpFCmAKdgqFCowKiwqECnoKcgpuCmoKZQplCm0KewqJCpQKnwquCr0KxQrHCskKzQrPCs0KygrLCs8K0wrcCvALDAspC0ALVgtzC5ELrAvEC+QMDAwuDEkMaQycDNQM+g0XDWQOBw7aD4gP8RBVEQ0SChLHEr8R5hCuD6AO/g7KDv0PjxBXEP0RLhDdEEwP2A+1D9QQARAND+0PuQ+WD5MPow+sD6MPlA+TD58PqA+dD30PWA8+DzIPKw8aDv4O4A7KDr4OuQ60DrAOsw7ADtUO7A78DvwO6A7DDpUOZQ4xDfQNsQ15DVQNOg0XDOMMpgxsDDQL+Au5C0kLNAsoCxQK9QrPCqgKiQp2CnsKmgrICu0K/gsDCwkLDgsHCu4K0Aq+Cr4KygrTCs8KvAqkCp0KtwrsCx4LMQsjCxALDwsgCy8LMAsnCx8LGQsUCw8LDwsVCxsLHQsgCykLOgtQC2ULeAuJC5kLpQuuC7YLwQvTC+wMBAwLC/kL1wu4C6kLpgueC4YLYws9CxcK6QqvCmwKKgn1CdEJtwmcCXcJSgkdCPUI0gixCJIIfQhyCG4IaghlCFoIQggXB98HpgdzBz4G/AawBm0GRQY1BisGGwYEBe0F2QXFBbMFqwW0BcsF5AXzBfYF8gXnBdMFswWTBYQFjwWmBbAFqAWeBZ0FlAVjBQcEqARpBEMEEQPUA9QEXwVtBpIHVAeOB3QHRgcRBsQGXgX9Bb4FmAV1BUcFFQTmBLQEegRABBID8APOA58DZAMoAusCrAJmAh8B2gGWAVEBBQC2AGkAI//o/7L/d/8r/tD+cP4V/b79Zf0C/Jr8NfvW+3r7Gfqw+kT52/l8+ST4zfhx+Ar3m/cp9sH2cvZJ9kr2bvas9wH3bffn+FX4mvix+LP4wfjl+Qz5HfkW+Qn5BPkD+Pn47fj3+S35gPnE+dH5rfmB+XL5evl2+U75CPjD+JT4e/hx+HH4d/h3+GT4PfgE97H3MfaC9cH1HfSu9Gz0PvQa8//z5PO+85DzcfNz84zzp/O889Tz3POW8snxhvA070fu7e8B7z7vde+O74DvSO717qHuV+4K7a/tV+0h7RvtMe1H7Vntcu2R7aXtou2X7ZztuO3Y7e3t8u3p7c7tnu1j7Szs9uyx7FLr5+uF6y3q0epu6g7pt+li6QLooehR6BDny+eC51vneOfL6CDoZejO6Zfqs+vG7Hbsvuzk7Sftiu3m7ibuaO7o787xC/Je84X0YvT/9Wj1lfV49SD0u/R39GP0dPSR9KL0jvRX9CP0H/RJ9G70ZPQ99C/0SPRd9FD0RPRl9Jr0i/QM81by0vKr8rryxfKk8iTxBO9G7X7sgey17avum+8d72fv1fBs8OLxCPD/8QvxSfGl8gLyWfKt8v7zQ/Nx84nzmfOz89Xz2/Og8yzyt/J38mvyWPIP8ZvxJ/DT8J/wh/CR8MHxCvFX8ajyCfJ68uzzTfOe8+r0NvR79L31A/VT9af19fY99of20vcV90/3hPe69+r4D/gr+En4cfif+Nb5IPmB+fH6YvrS+0n7wfwl/Gb8kfzG/Rn9ff3f/jf+jv7u/1X/vAAmAJQBBQF1AeICTwK2AwwDSwN9A7gEBQReBLYFBgVTBaAF8AZBBpQG6wdDB5wH8ghFCJII2QkaCVoJnAnmCjsKmAr2C0cLfwuhC7gL1Av4DBgMKQwkDA0L6wvDC48LSgrvCn8KBwmdCWgJigoHCr0LdgwRDI8M/A1UDYINhA11DXcNlA3CDfQOJw5UDm4Ocg54DpwO2g8SDzEPRg9sD58PxQ/SD9wP+xAtEFwQgBCkEMoQ5RDnEMoQhhALD3YPNA+/EQsSRhJZENAOSAvxCqwKjQsXC7wMLgxiDG0McQyEDJ4MngxwDCQL3QuoC3kLQQsCCscKjApFCe0JlAlJCQ4I2wirCIUIbwhkCFEIKQfqB6AHVgcUBtoGrgaXBo8GfwZMBfIFigU5BQsE7wTNBJ8EcQRJBCUD/QPTA6wDjQNxA1UDNwMSAuECpgJrAjwCGwIDAe4B2wHKAbkBpQGRAYMBdQFdATUBAwDUAK0AiQBiADgAD//q/8j/qv+T/4H/av9M/yr/Df73/uT+z/63/p3+gP5m/lT+Sf47/iH9+/3Z/cb9vP2u/Zb9fP1q/WD9Vv1K/UP9Q/1J/VD9Wv1m/W79bP1h/Vj9Wv1k/XH9f/2T/av9wv3W/e3+Cf4i/i7+LP4i/hf+Bv3w/d392f3f/eD92f3c/fL+Ev4z/mT+xv9V/9gAEP/7/9L/xP/B/5v/Vv8w/1f/ov+0/1v+wf5C/g7+D/4Z/hz+LP5W/pL+y/7y/wn/GP8m/zn/Uv9s/4L/jv+R/5X/of+4/9X/7f/6//z//gAFAA4AEAAJ//7/9f/s/9//0f/H/8D/uP+r/5v/jP+A/3P/Zv9Z/0r/Nv8c/wT+9v7x/u7+5v7Z/sf+sv6b/oT+b/5Z/jz+Gf32/dv9wv2l/YP9Yv1F/Sr9Dfzt/M/8tPya/IH8bPxd/FD8Pfwm/A/7+/vq+9f7xPu2+6r7nfuL+3b7YvtP+zn7HPr8+t36wfqo+pL6f/pt+lr6RPou+hj6Avnq+c/5tPma+YD5ZflI+Sr5Cfjl+L74l/hw+En4JPgB9973ufeR92j3Qfca9vL2yfak9oT2ZfZA9hf17vXK9aj1gvVa9TL1DvTq9MX0ofSB9GT0SPQs9A7z7/PL86TzffNZ8zfzFfL08tXyuPKZ8nnyXPJD8inyBvHf8bjxlvF28VbxM/EO8OTwtfCG8GHwRvAr8Ajv4O+976Hvh+9t71XvRO837yfvE+7/7vDu5u7d7tbu0e7O7sfuvu617qvuoO6T7oruiO6H7oHueO5z7nbuee547njuf+6O7pvuo+6u7sXu3u7q7uXu3u7n7wDvGu8v70TvYu9+74HvW+8g7wTvP+/a8KHxO/Fu8UrxH/E18ZXyCvJU8lryM/IL8f3yD/I18l/yivK68vTzMvNm84jzoPPD9AX0ZfTU9UL1qPYF9lj2l/a89sz20vbU9s/2uvaa9oH2hPam9tf3A/cm90b3ZPd594H3iPee98T34ffb96/3c/dA9x33Avbk9sH2mPZp9jj2CPXe9bn1lPVq9Tv1D/Ts9Nj01PTe9PD1CPUk9UL1WfVg9Vj1TfVN9Vv1b/WG9Z/1v/Xi9gH2FfYg9in2MvY+9k32W/Zl9mT2V/ZC9ij2CfXf9af1YPUL9Kr0RvPu87TzoPOx8930GPRY9Jn02/Ub9VH1ePWW9bz17fYa9if2EPXo9cb1qfWD9VH1IfT59ND0m/Rp9FT0WfRQ9BXzrfND8vry0vK28pTyY/Ig8dTxlPFr8Tjwwe/w7wXuY+457ljub+5d7jzuLu4s7hvt8u3C7ZTtYe0j7OHsqex+7FTsJuv669brvuuv66nrr+u768br0uvl7ADsHuw57Fbsfuyv7N3tAe0e7TvtWO1v7XvtgO2F7Y3tl+2i7a7tuu3E7crtzO3M7c3t0e3Z7eXt8e367gDuCO4U7iXuO+5T7m3ujO6v7tTu+e8c7z7vZu+V78bv9fAf8ErwfPCy8OjxHPFR8Yrxx/IG8kbyiPLM8w3zSfOC87/0BPRO9Jr05/U19Yf12/Yw9ob23vc595n3+fhW+LD5Bvlb+a/6BPpd+rz7Hvt/+978PPyf/Qf9bP3K/iT+gP7n/1X/xAAtAIsA4AEsAXEBrQHgAgoCNAJiApgCzwMEAzYDZgOYA8kD9QQeBEYEcAScBMgE8gUeBUsFeQWkBcoF8wYjBlgGiQazBtkHBAc1B2QHjAeyB90IDQg5CFsIdgiVCLsI5QkOCTgJZQmSCbwJ3gn8ChkKNApKClUKUgpGCjsKOAo9CkEKQAo/CkYKVwprCn0KigqTCpgKmAqWCpkKnwqjCqEKnQqdCqAKpQqtCr0K0wrsCwMLHQs9C14LeguUC7QL3gwGDCkMUgyKDMMM7A0UDWQN8w6cDysPqRBkEY8S4RO3E6ISwRGdEKsQDQ+9D8IQIxCzERIQ9hBwD9oPhw+HD7EP0A/JD6EPcA9SD1EPYw9xD2wPWg9OD1APWQ9cD1IPPQ8jDwgO7A7ODq8Okg57Dm0OZQ5eDlYOUw5aDmsOgA6ODo8OgA5kDj8OEg3cDZoNTw0KDNUMsAyODGYMOAwIC9cLowtwCxELBgsCCvcK4Aq/CpsKeApdClMKYwqKCrUK1QroCvYLAAr/Cu8K2grRCtoK7gr7CvUK3Qq/CrAKwQrvCyQLSAtPC0ULOws5CzoLNwsvCyQLGQsPCwkLCAsNCxMLGAseCykLNwtCC0sLUwteC2oLdQt+C4YLjwudC7MLzQvgC+AL0QvCC8ILzAvNC7ULhwtUCyUK+QrECoUKQgoICdwJuQmVCW4JRQkdCPcI0girCIcIaghYCE4ISghGCDsIHwfwB7MHdQc8BwAGuQZtBi0GCgX/BfwF9AXnBdwF1AXJBbkFqwWsBb0F0wXhBeAF1gXGBbAFjwVuBV4FagWDBZEFigWABYYFkgWCBUME6gSaBGMENgQVBCIEhQU0BfIGgAbPBvoHEQcJBtAGdgYfBeEFsQV6BTsFAQTUBKwEfwRQBCgECQPoA7sDhANHAwgCxwKCAjoB9AGvAWgBHgDQAIAANP/u/67/a/8f/sv+df4h/cz9bv0G/Jr8MvvP+2z7B/qh+jr51flz+Rb4uvhY9+r3cPb29oz2PvYP9fr1+/YT9kj2nvcL93X3w/fw+A/4N/hr+Jr4r/in+I74cPhM+CH39vfh9+/4G/hS+IT4rvjX+Pr5Bvjt+Lb4efhL+DH4HfgM+AL4BPgG9/b3zfeR90X24PZb9cH1LPSw9E/0BvPV87jzoPN981XzR/Nn85/zxfPD86Tzb/MH8kbxMfAP7zru3e7j7xfvT+9u72bvN+717rbuge5B7e7tnO1s7WvthO2b7ajttu3G7crtu+2q7a3txu3i7e7t6+3i7dTtuO2N7VbtEuy77E7r2etv6xDqtOpY6gTpuOln6QXon+hK6Afnwud05zTnI+c/52nnmOfs6IPpROns6k3qfOqz6wnrXuuD633rjewE7QHuV++08OXx+fMP9Bj00fT99LL0TPQf9D30g/TM9Pv0/PTO9JT0ePR09FX0APOp85nzzfP089/z0fQg9KT0vfP38pXxTPCK8Cvv1+9p7uDuJ+0o7B/rl+vq7ODt5O6W7w3vhfAA8E/wYfBj8Irw3PE/8aDx//Je8rDy6fML8ybzSfN686jztfOF8yHyuvKC8nrydfJL8fzxrPFy8VDxRfFX8YjxyfIG8j3yfPLN8ybzefPE9A70WfSf9OT1LvWD9dj2I/Zl9qj27/c193X3r/fk+A74LfhF+GP4iPi0+Or5NfmY+gb6cfrW+z/7rPwP/Fr8l/zd/Tf9mv33/kz+p/8R/4b//QBuANsBQgGjAgYCcwLpA1IDnAPHA+wEJwR/BOQFQwWRBdUGGgZkBrEG/wdQB6gIBQheCK4I8wk1CXgJwwoXCnYK2QsyC3ALlAutC8wL9QwdDDQMOAwyDCUMCgvQC3AK9gp8ChEJugl4CWAJkwoeCuULrgxODMINIA1tDZkNnA2HDXoNiQ2yDesOKw5jDoIOhw6NDq4O5w8YDzQPTQ97D7MP2Q/jD+gQBRA0EGMQjBC3EOMQ+xD3EN4QqxBDD7QPaQ/0EWYS8BNUEe8PQwyYCvwKqAsjC8sMQgx4DI0MqAzYDQsNFQzjDIgMMAv0C8kLmQtaCxEKyAp+CjIJ4gmQCUII/gjLCKoIlQh/CF8IMwf6B7cHcAcsBvMG0AbIBtQG1wawBlYF4wWBBUcFKAUIBNsEqQR7BFEEJQP2A8oDpgOHA2oDSwMnAvwCywKaAm0CRgIjAgIB6QHVAb8BogGHAXYBbQFeATsBCQDYALAAkABvAEsAJwAJ//H/2//B/6H/fv9d/0X/Mv8c/wT+7v7c/sf+qP6D/mz+a/5x/mL+Nf3+/df9xf25/ab9jv16/Wn9V/1H/UD9Rf1O/VP9VP1X/Vz9Wv1Q/Uf9Sf1Z/W/9hf2a/a/9wv3S/eT9+/4T/iL+J/4n/iX+Hv4T/gr+C/4P/gr9/f31/fv+BP4G/hP+U/7Q/1//wf/h/9r/xv+a/07/DP8i/6QAPQBuAAP/Qv6b/kn+Mv4r/ir+P/5w/qv+3v8G/yb/Pf9K/1X/bf+S/7X/yP/K/8n/0v/m//4AFAAlADIAQABMAFUAVABMAEIAOgA1AC4AIgAWAAoAAP/2/+r/3P/L/7b/o/+V/4v/ff9n/1H/Qv88/zz/N/8s/xv/Bf7t/tb+wf6s/o/+a/5D/iD+Af3h/cD9n/2C/Wf9Sf0o/Qn87vzV/Ln8oPyM/Hv8Z/xO/DT8HfwK+/j75PvT+8X7t/um+5L7ffto+1D7NfsY+vz64vrH+q76mfqH+nX6X/pG+i76GPoB+eb5yfms+ZD5c/lU+TT5E/jz+NL4sPiM+Gf4Qvgf9/r30veo93/3WPcz9wr24fa79pn2ePZR9ib1+/XV9a71hfVa9TP1EvTx9M30qvSJ9Gz0TvQx9BTz9/PX87HzifNk80LzIfMA8uDywfKi8oLyYvJD8iLx/fHW8bDxj/Fx8VHxMPEL8OHwsvCF8GLwSPAu8Azv4+++76Lviu9z71vvRe8v7xnvBO717uru4e7W7szuxu6/7rburO6i7pjujO597nPuce5w7mruYO5e7mTubO5t7mzuce5+7oruku6c7q/uxe7R7tDuze7X7u3vBe8X7yjvQO9a72XvT+8d7vXvD++L8EzxA/Fl8WLxM/Ek8Vzxw/Ik8lLySfIf8fbx5/H58iLyVPKK8sbzBvND83PzlfO28+j0N/Se9Q71fPXj9kH2jva/9tL2z/bI9sP2vfau9qD2ova89uX3Dfcx91P3c/eK95T3nfe39+H4Aff798r3hvdK9yH3B/bx9tX2rPZ49j32CPXe9br1lPVp9T31F/T99PH08/UC9Rn1M/VM9Vz1XPVH9Sf1DvUL9SD1QfVl9Yj1rfXQ9ef18PXx9fT1/PYG9g72FfYb9hz2E/YD9e711fW09Yf1UPUS9M30gvQ18+/zv/Or87PzzfP19Cv0dfTS9TH1fvW19eL2FfZJ9mb2XvY99hT17PW+9Yv1W/Uy9QP0x/SQ9Hb0ePRt9DHzyfNg8xvy+fLj8sHyhvIv8cvxgPFj8VDw9/Aw7zXue+5C7mHufe5q7kLuMe427jPuEe3b7aHtZe0n7Onss+yE7FbsKOv/6+DryOu2667rtOvC68zr0+vd6/PsEuwz7FXsfuys7Nbs9+0S7S3tR+1b7WXta+1y7Xvtgu2G7Yjtje2T7Zvtn+2f7Zztmu2d7abtsu297cft0+3g7e7t/+4T7i3uSu5q7ozuse7X7v/vKe9X74fvuO/o8BbwRvB48Kvw3/EY8VXxlfHU8hPyU/KW8tjzF/NU85Pz1vQf9G30vfUO9WD1s/YJ9mD2uPcR9233zPgo+H/40/kn+X752Po2+pf6+/ta+7T8D/xy/Nr9Pf2X/ez+S/66/y//ngAAAFcAqgD3ATgBaQGPAbMB3wIUAk4ChwK8Au8DIQNSA4ADqAPOA/QEHgRKBHcEowTPBP0FLQVaBYEFpwXVBgoGPgZpBo0GtAbmBxkHRgdrB5EHvAfkCAUIHwg+CGUIkAi7COQJEQlBCW0JkQmuCcoJ6AoEChQKFgoLCf8J/AoCCgoKDwoUCiEKOQpUCmgKcwp5CnsKegp3CnUKeAp5CngKdQp1CnYKeAp8CogKnAq0Cs0K7AsSCzcLVgtyC5MLvQvqDBUMRQx+DLYM5g0dDXkN/Q6ADt4PMg/GELoRvhJSEj4RwhFGEPEQpBBFD/kP8hAlEEUQGw+6D2gPVA9tD4sPkQ+DD2oPUA8+Dz0PSg9YD1kPTA88DzMPMg82DzYPLA8TDuwOvw6XDnUOVw49DisOHw4XDg0OAw4BDggOEg4XDhQOCg37DeMNwA2PDVANBwy8DHoMRwwfC/kLzwuiC3ULTAsoCtIK0grVCs8KugqZCnYKVgo6CicKKApFCnIKngq/CtYK6Ar0CvUK8Qr1CwcLHgspCyALBgroCtUK1gryCyALTwtsC28LYQtTC0wLTAtJCzsLJQsPCwMLAwsJCw4LFQshCzALPAs9CzULKwspCy0LNAs7C0ILTAteC3kLnAu8C84L0QvSC+AL9gwBC+0LvAt/C0YLEgrZCpkKWQogCfAJwgmTCWYJQAkeCPwI1AinCH0IWghCCDUILwgqCBwH/AfJB4wHTwcSBtAGgwY2BfoF2QXQBdAFzAXHBcUFxwXFBbgFqAWfBaUFtwXFBccFvAWpBY4FbAVMBTsFQQVUBWMFZgVmBXMFhwWMBWwFKgTfBJ0EcARfBHMErwUFBV8FuAYZBoUG3wcCBt8GkgZBBgAFwgV4BSoE6gTABKEEgQReBD0EIAQCA9gDoANgAx4C3QKcAloCFgHNAYIBNgDpAJoASf/6/6//Zf8b/tH+hv43/d79ev0O/KL8OPvO+2L69/qS+jL50Plq+QH4mPgt97n3PvbG9mL2GPXn9cP1qvWk9b71/fZY9rn3C/dJ9333tPft+Bz4N/g5+CL39Pez9233MvcH9ur22/br9zH3rvg8+J/4svh5+CH32Pey96L3kvd592b3Zfdw93L3Wfcj9tn2g/Yh9bH1OfS99Ejz5/Oq85LzifN682rzdPOm8+Pz+PPL83DzAfJ/8dHw7u/87znuzu687ubvJu9X717vOu7/7sjumO5g7hftz+2l7aftyO3u7gnuFu4R7fft0u237bXtw+3M7cftvu2+7cLtuu2a7WPtFuyz7D3rxOtY6v3qp+pT6gPptelc6PPohugr5+fnpOdU5wPmy+a15rjmy+b550vnqOfs6A7oKuhm6L/pDekt6SvpROm36pHrpey17bbu3PBQ8eXzH/Oj84vzT/NS85/0DvR79Nv1GvUk9P30wPRq8+DzKPKb8pDy8PNF81HzZ/P39Mv1AfPw8ejv4e6F7bftAuxC66brRur36qnqlusO7AjtIu4D7pvvBe9J72Xvb++W7+/wZPDR8TTxmvID8lfyh/Ki8sHy9PM183Hzi/Nt8xjys/Jx8mbydPJy8lTyLvIW8g/yFvIt8lfyivK08tHy7vMZ81TzmPPg9Cr0c/S69QL1U/Ws9gD2RPZ99rn3APdO95j31vgI+C34Sfhk+IT4qPjR+QX5T/mv+hr6f/re+z/7pvwJ/F78qvz6/Vb9tv4Q/mf+yf89/78AQAC4ASEBewHLAiQClQMeA6MD/wQpBDsEYQSwBRsFgQXPBgsGRgaJBtIHHQdtB8YIIwh7CMcJDQlVCaMJ9gpOCqsLCAtUC4ULnwu4C+IMFgw/DFAMTwxJDD0MFAu6Cy4KkAoKCbAJfQlkCW8JuQpSCx0L4AxvDMoNDg1MDXkNiA1/DXYNgA2gDdIODw5KDnIOhA6TDrUO5g8UDzYPWg+ND8MP4w/rD/MQDxA5EGQQkBDGEPcRCxECEO8Q0BB6D+YPfw/xEWsTJRPIEoQPyAztCyYKyQtWDBcMngzdDPwNIw1ZDYINeQ0zDMsMbAwvDAcL2QuWC0QK9Qq2CoEKQwnwCZEJQAkNCPAI0winCHMIRwgkCAAHzQeLB0cHEAb0BvAG7AbLBn0GGAXBBY4FcQVQBR4E5ASwBIIEVAQiA/IDyAOjA4ADXgM6AxMC6gLDAp4CeQJQAicCAwHkAcQBogGEAXQBbwFkAUYBFgDjALsAnQCDAGcATAA1ACMADv/x/8f/nP99/23/YP9I/yX/B/72/uf+yv6i/ob+hv6T/or+XP4d/e/92v3P/b79pf2M/Xf9Y/1U/VD9Wf1i/WD9V/1R/VL9U/1P/Uj9S/1b/XH9h/2b/bD9xP3V/eP98v4C/hD+G/4m/jL+O/4+/j/+Qf5B/jf+Jf4Z/hv+Hv4V/gv+Jf52/ub/Qv9s/2v/Uf8e/t7+wv8J/7IAXQCSACn/bf7M/nf+V/5J/kf+X/6L/rn+3f7//yT/Qv9Q/13/fP+v/93/7//s/+r/+gAUAC0APwBQAGUAegCIAI4AjACHAIAAewB3AHQAbQBjAFQAQwAyACQAFgAF//L/3//T/8//yf+8/6r/nf+Z/5n/k/+G/3L/XP9C/yf/C/7w/tP+sv6N/mj+RP4h/f392/2//aP9hP1i/UP9KP0P/PT81/y8/KT8jPxv/FL8Ovwp/Br8CPv1++T71fvE+677lvt9+2P7Sfsw+xr7A/ro+sr6r/qa+of6cfpW+jr6IfoJ+e750fm0+Zj5e/lb+Tr5G/j/+OX4yfip+If4Y/g9+BT36fe995T3b/dL9yT2+/bT9q72ifZg9jP2CPXf9bf1jPVh9Tv1GPT39NP0r/SP9HL0U/Qz9BXz+vPd87rzk/Nv80/zMfMQ8u3yzPKr8oryZvJA8hnx8vHL8afxhfFl8UXxJfED8N7ws/CJ8GXwSfAt8Azv5u/D76fvkO9772LvR+8p7w7u+e7s7uTu2u7M7r7utO6p7p3uke6I7oDudu5o7l7uWu5X7k/uRu5G7lHuXe5i7mHuZO5v7nrug+6L7pjup+6x7rbuve7N7uPu+O8H7xPvJO85703vT+807wru/O8378bwe/EP8VfxXfFS8V3xi/HL8gXyI/Ic8fvx2fHO8eXyFPJQ8pDy1PMZ81bzgvOk8830D/Rw9OT1V/XB9iH2dfax9sz2yfa79rX2u/bB9sP2x/bZ9vj3IPdJ92/3jfec96H3rffO9/34HvgW9+P3mvdX9yn3EvcI9vv22vag9lr2GfXo9cD1mPVs9UX1K/Uf9R71KPU79VL1ZPVm9VP1MPUC9Nf0u/S49M307/UX9UH1bPWP9aT1qvWq9az1r/Wv9az1r/W69cj10PXP9cn1v/Wv9ZP1b/VF9Rf03/Sd9Fj0GvPu89Lzw/PD89z0HfSH9Qb1efXN9gb2NvZj9n/2fPZb9i32AvXa9bX1kvVw9UT1CvTR9K70n/SG9Ebz5POH803zNvMo8wbyufI+8bLxTfEz8TvxBvBY72TupO5m7obup+6T7mbuT+5V7lfuN+347a/taO0o7PHsweyS7F3sJ+v7697ry+u667Hrs+u968XryevR6+XsBuwr7FLse+ym7Mvs6Oz+7RPtJ+027UHtS+1Y7WPtae1o7WPtX+1f7WLtZO1k7WHtX+1i7WrtdO197Yjtl+2n7bbtxe3Y7fHuDu4s7k3ucu6d7snu9O8d70nveO+r797wD/BA8HPwqvDm8SXxY/Gg8d3yHfJf8qLy5/Mq82zzr/P29ET0l/Tr9T31kPXk9jz2kvbp90L3nff4+E/4o/j5+VT5sfoR+nT61fsy+4r75PxH/K79D/1k/bj+Gv6Q/wn/df/PAB8AbgC4APIBGAE2AVkBjAHKAgkCQgJ0AqYC2AMHAzMDWgOBA6gD0gP/BC0EWgSFBLEE3wUOBTkFYAWLBb0F8QYeBkIGZwaUBscG9QcaBz0HYweJB6oHxgfoCBIIQQhuCJcIwgjwCRwJQAleCXkJlgmxCcYJzwnMCcUJwgnHCdIJ3gnsCgEKHAo2CkkKVQpdCmQKZwpkCl8KWwpYClQKUQpOCkwKSwpNClcKawqFCqQKxwryCx0LQQthC4ILqwvZDAkMPgx3DK8M4w0kDYcOBQ5xDqYOtg7aDy4PiA+rD5wPoA/iEDUQPg/dD1QO/g7xDv8O/A7xDv8PKw9YD2oPZg9hD2APWg9OD0QPSQ9XD2EPXw9SD0APMA8nDyYPJA8TDu0Oug6HDlsOMw4NDe4N3A3SDcgNvQ20DbANrA2iDZYNjg2LDYMNbg1JDRcM1wyODEYMCQvZC60LfQtJCxoK9QreCo0KlAqeCpsKggpaCjUKHAoMCf4J+woQCjwKbQqUCrAKzArpCwALDwsfCzcLTwtXC0wLNQsgCxALBQsICyELTQt1C4QLeAtlC10LZAtnC1gLOQsaCwkLCQsPCxMLFwsgCy0LNAspCxAK+ArrCuwK8Qr1CvoLCAsiC0YLcguaC7gLygvZC/AMDgwjDBsL8gu1C3ALKwrkCp4KYgoxCgQJ0QmZCWYJQAkjCQII2QirCH8IWAg6CCUIGggQB/wH1gegB2YHKwbuBqgGWwYQBdkFvAW1BbUFtAWxBbIFtwW5BbAFngWMBYgFkwWjBasFpQWPBW8FTQUwBR4FGQUeBSkFOAVLBWEFeAWFBX8FXQUiBNwEpASPBKAExATkBQIFOgWkBjEGrAbhBsoGiAZCBgMFwAVvBR4E4AS6BKEEhgRnBEkEMAQVA+8DuAN1Ay8C8AK3An0CPAHxAaABUAECALMAYAAJ/7T/aP8l/ub+o/5T/fP9h/0Z/K38Q/vU+2D67fqE+iP5w/la+Oj4cvf794H3CPaX9jv19/XF9Zz1d/Vd9Vv1e/W39gP2UPaZ9t/3I/df9433qvey95z3Xfb/9p72VPYf9er1tPWp9gL2xPep+Er4b/gq98L3cfdL9zn3Ivb89tb2xfbQ9uT26PbH9oT2L/Xa9Yf1LvTF9FPz7vOt85jznPOj86rzwPPp9Ajz9/Ol8yfyn/IW8Xnwuu/o7y7ute6R7rXu/u8+71PvNu797sLuku5k7jDt++3Y7djt/O427mvuf+5m7ivt6+3D7bXtru2f7YztiO2a7bDtr+2M7Uvs9eyM7BbroutA6vHqqOpZ6gPpqOlF6NfoaugO58Xnguc15uDmluZj5kbmO+ZB5lXmbOZ55oDmlebE5wbnROdw55Hnwugj6Lnpa+of6unsA+2Q707wt/Ft8Y/xk/HK8i/yoPMZ86v0QvSn9LX0b/Ph8wryFPFp8Wvx9/J/8rLy5fOP9Hf0qfNr8RTuvO0m7C/rUupr6cbpmum46dvqDOqQ64Dsou2f7knunO6t7qHur+7+74PwC/B28NXxQvG28g/yPPJT8nXyrPLt8ybzSPM68vTykvJK8kHyZvKP8p/yovKr8r/y1vLt8wrzKvNE81DzVfNj84fzvvQD9Er0kPTW9SP1evXT9h/2WfaJ9sL3DPdg97D37/gd+ED4YviG+K340/j6+Sz5c/nP+jT6l/r2+1r7wvwm/H78zf0e/Xb90f4s/oj+7/9n/+sAcADpAU8BoQHsAkUCvgNWA+sEUgR6BH4EkwTZBUMFrAX7BjMGaQaqBvIHPgePB+YIPwiRCNsJJwl7CdQKLAqBCtcLKwtvC5kLsQvMC/cMKgxUDGoMbwxlDEML8wtvCswKMAm/CYEJaQlsCZIJ8gqRC1EL/wx5DMEM9Q0oDVQNbg12DXkNhA2bDb8N8Q4sDmEOhQ6hDsAO6Q8UDzwPaA+cD8wP6Q/4EAsQKBBIEGcQkxDOEQIRExEHEQIQ/BC5EBoPig/KESoS8hO9EpoP5w0ACzYK6wuaDHoNEQ1VDXYNmA26DcMNmw1IDOUMkwxeDDcMCAvEC3QLLgr/Ct4KrgpZCe4JlQljCUkJIwjjCKAIegh1CHYIXgghB8kHagcbBucGxgahBmUGHgXlBcYFtAWXBWMFJgTuBL0EiwRWBCID8QPGA58DeQNUAy8DCgLpAs4CswKQAmUCNQIFAdcBrwGSAYQBfwFyAVYBKgD7ANIAsQCYAIUAcwBhAE0AMwAR/+b/vf+h/5X/i/9x/0b/H/8J/v3+5v7B/qH+mP6b/o3+Yf4r/gT99P3q/dX9uP2e/Yv9fP1v/Wr9bf1x/Wr9Xf1U/Vb9XP1e/Vv9Xv1r/X/9kv2k/bf9zP3b/eb97/37/gv+HP4t/kH+U/5f/mX+af5o/l/+Tf47/jT+Mv4r/h7+Iv5M/pL+0f7w/vD+5f7X/s/+4P8o/58ABwAV/7r/Lv68/oH+af5d/l/+eP6d/r3+1f7z/xn/Of9L/13/hP++/+z/+P/y//oAGwBFAGIAcgCDAJgAqgCwAK8ArwCzALcAtgCxAK0ArACpAKAAjgB3AGEAUABAAC8AHAAPAAsACgAE//b/6f/k/+P/3v/R/77/qv+T/3b/VP8y/xP+9v7X/rX+kf5p/kL+Hv3+/eH9wf2e/Xz9YP1I/S79EPzy/NX8ufya/Hv8YfxO/D78LPwX/AP78fve+8b7q/uP+3P7WvtE+zH7HvsE+uT6xPqp+pP6e/pg+kL6JfoJ+e350Pm2+Z35hPlm+Ub5KfkQ+Pj43/jD+KT4gPhY+Cz3//fT96v3hfdh9zz3Ffbt9sX2nfZy9kT2GPXv9cf1nvV19U71KfUE9N30ufSZ9Hz0XPQ69Bnz/PPg87/zmvN481nzPPMb8vjy1vK18pLyavI+8hPx6/HF8aHxfvFb8TrxGvD78NrwtfCN8GjwSPAp8Ajv5e/G76zvlu9972HvQe8i7wbu8e7k7tvu0O7B7rHuou6S7oLude5t7mjuYe5W7kvuRu5A7jjuL+4u7jjuRe5O7lDuVO5c7mbub+527n/uiO6R7pzurO6/7tPu4+7y7wDvDu8f7zbvSe9I7ynvA+8D703v2PB58QHxWPF98YDxd/F+8aXx3/IK8g7x7vHL8cTx4vIa8lzyovLq8y3zY/OM87bz9vRV9Mn1O/We9ff2SvaR9rz2w/a29q72ufbO9uH27fb79xX3PPdp95H3p/es9673wffp+Bf4Mfgk9/T3svdz90X3MPcw9zD3FvbX9oT2N/X+9dL1pvV49VX1R/VN9Vz1cPWF9ZP1j/Vt9TH06vSr9H30ZfRg9Gr0g/So9Nb1BPUr9UP1TvVU9Vb1UfVE9Tr1PvVW9Xf1k/Wm9bH1uvW99bb1pvWS9Xb1TvUY9N30p/R39Ev0HfP28+b0AvRT9M71VfXI9hj2S/Zr9nn2bPZI9hv19/Xe9cz1uvWh9X71TfUW9Of0wvSX9Ff0BPO584/ziPOP83rzJPKG8crxQPEW8SDw+PBY73Huuu6B7qbuz+7F7p3uhO6B7njuT+4K7brtbu0r7PXsy+yg7GvsMewA6+Lr0evC67brsOuz67jrvuvK6+Dr/+wi7EXsbOyT7Lfs1Ozq7PvtCO0S7RvtJu0z7T7tQ+1E7T/tOe0x7SrtJe0h7R7tH+0k7S3tM+047ULtU+1q7YDtke2k7b3t2+377h3uQu5s7pjuwe7o7xDvPe9w76Pv1fAG8DvwdfCz8PHxLfFq8arx7vIy8nfyvfME80jzivPO9Bz0cfTH9Rn1afW89hL2afa+9xT3bffI+CH4ePjR+S35jPns+kz6qvsG+1/7uvwd/IH83f0w/Yb97v5n/t//Rf+Z/+UAMABzAKQAwwDdAQYBQQGGAcgCAAIwAmACjwK9AuYDDgM3A18DiQO1A+QEEwQ+BGYEkAS/BO4FGAVBBW4FoAXPBfcGHAZFBnMGnQbABuEHBgctB1AHcAeUB8EH9AgkCE4IdgieCMYI6QkJCSYJQgldCXQJhAmLCYoJiwmTCaMJtwnMCeQJ/goXCioKOApEClAKWApYClIKSwpDCjoKMQopCiUKIgokCi8KRApiCoQKrArbCwwLOQteC4ILqgvVDAQMOgx2DLAM4w0dDW8N1w4vDlEOPQ4VDfINzA2eDYsNyA5TDtkO+g6iDh8Nzw3PDf0ONA5xDr0PCQ87D0wPUA9aD2UPYw9TD0gPTg9iD3UPew9yD1sPPQ8kDx0PIg8eDwMO0A6VDloOIA3oDbkNnA2ODYQNeg1xDWkNXQ1JDTUNLQ0xDTMNJw0LDOMMrwxuDCUL4gurC3kLQQsECs0KpgqSCkoKVApjCmIKQwoRCegJ2wneCeEJ5An4CiAKTwpzCo4KsArcCwYLJgtCC2ILfwuJC38LbwtlC1wLSws4CzgLVgt/C5ULjQt5C3ALeAt+C3ELUwszCyELHgsiCyALGwsYCxkLEwr8CtgKuAqrCq8KuQq9CsIK0QrxCxwLSQtyC5ULswvPC+wMDAwmDCwMEwvcC5ELOwrkCpkKYwo9ChgJ6AmvCXoJUQkvCQoI3wi0CI0IaAhECCMICgf1B9gHqwd0BzsHBAbKBoYGPQX6BcoFswWvBbIFswWwBa0FrQWtBaUFlAV/BXEFcgV+BYkFhgVxBVIFNQUfBRAFAQT1BPYFDAUuBVAFaQV7BYoFhwVhBRkEzQSjBKcEvwTPBNoFBQVoBe8GYAaQBn4GTwYfBfAFswVmBRsE5ATFBLEEmAR6BF0ERQQvBAwD2AOUA04DEALcAqYCZgIYAcIBbgEeAM8AeAAb/7//cv81/wH+xf50/g79nf0q/Lz8UPvg+2j67vp5+g75p/k9+Mr4T/fR91T23fZy9hv12vWq9YH1WfUz9Rf1D/Ui9U71ivXR9iD2b/ax9t/2+Pb99uP2mfYj9aj1T/Uc9PP0yfTN9UP2M/dI+BD4S/gW97r3cfdG9yj3BfbV9qH2evZy9oP2kvaB9kP17PWX9VL1EvTH9Gz0E/PT87rzwPPS8+Pz8PP18+HzpfNA8sTyRPHD8TDwge/A7xHum+517pju4O8h7zfvHO7j7qXudO5V7j/uKe4U7g/uLe5u7rLuzO6k7lHt/u3L7bDtle1z7V3tau2R7bDtpu1u7RfstOxJ69rrdOsj6uXqpupY6fjpkekp6MToZegQ58fng+c85vDmqOZt5j/mHuYF5fHl4uXZ5d3l7uYH5iLmQeZo5pXmxeb950rnsegv6Njp0Oso7KXt3u6S7uPvJ++J7+/wRPCq8U7yIPLO8xby8vJ38bTw1vBC8FLw5/F38afxu/Ip8tDy4PG075rtjew362zqqunV6UvpTemt6g7qWurK643sie137h3uZO5i7k7uau7U72nv6/BG8JrxCPGD8d3yCPIe8j/ybvKe8sby4/Lj8rTyZfIp8i3yavKx8uHy/vMf80jza/N/84vzmfOn86zzqfOs88Xz+PQ59Hv0u/T+9U31pPX49jr2avaW9s73G/dz98T4A/gt+FD4dfii+ND4+vkk+Vn5ofn6+lr6vfsi+4z79fxY/K/8/v1M/Z799v5S/rP/HP+RABEAkwEJAWwBvgIPAnIC8wOJBBQEcQSTBJUEqATsBVYFvwYPBkcGfQa+BwcHUwelB/sIUgijCPEJRAmfCfwKUwqmCvsLTAuNC7MLyAveDAAMLAxXDHkMigx5DDQLswsNCmoJ7AmeCXgJbwmECcUKOwrbC4UMFQx+DMUM/w0zDV0NeA2IDZQNoQ2wDcgN8Q4tDm8OpA7HDuEO/A8eD0cPdg+mD88P7xANEC4QTBBgEHEQlxDUEQgRFRELERQRJRDwEEcPjg+UEMISdRNNEk8PwQz3C0QLDwvRDLkNTA2JDaQNvA3JDbUNfw06DPsMygyfDG8MMwvtC6cLbwtOCzULBwquCj4J4wmzCZ0JdgkxCOkIxAjGCNUIzAiWCDYHvAdFBugGqwZ/BlIGIwYBBfEF5wXPBaIFagUyBPwExASKBFQEJAP5A9EDqgODA1sDNgMXAwAC7QLTAqoCdQI6AgIB1AG3AacBmwGJAW0BSgEhAPcAzgCvAJwAkAB/AGQAQgAc//f/1f+9/7D/pv+P/2j/Pv8h/xD++/7d/r7+qf6a/oL+Xf43/h/+FP4F/er9yv2z/aj9n/2T/Yf9f/15/XH9Z/1j/Wj9cf12/Xj9fP2J/Zv9rP27/cj91f3e/eX97/4A/hj+L/5E/lb+Zv5y/nf+ef57/nj+av5T/j7+M/4u/in+Kf48/mX+j/6n/rH+xP7y/y7/Zv+P/6f/pf97/yz+1f6X/nv+b/5p/m7+hP6k/sD+2P74/yD/Q/9W/2j/i/+7/+H/7//1ABAAQABwAIoAlwCnAL4AzQDLAMQAxgDWAOcA7QDnAN8A3gDjAOUA3QDKALIAngCMAHcAXgBHADwAOwA4ACsAGgAOAAwACwAF//j/6f/Y/7//n/98/1z/QP8j/wP+3/64/pD+av5H/ij+B/3j/b/9n/2D/Wj9Sv0q/Qz87/zR/LL8lfx8/Gf8Ufw6/CT8Dvv2+9v7vvuj+4n7cPtZ+0T7MfsZ+vn61vq3+p36hPpo+kn6K/oN+e750vm6+ab5kvl5+Vz5Qfkn+Q748vjV+Lb4lPht+EP4GPfu98b3oPd691b3MvcL9uH2tvaK9l32MfYI9eL1vPWU9Wz1RfUc9PT0z/Su9JD0b/RK9CX0BfPn88bzovN/81/zQfMg8v7y3fK78pXya/I+8hLx6vHF8aDxfPFZ8TfxFvD28Nbws/CN8GnwRvAk8AHv4O/E763vle9471fvNe8X7v/u7O7e7tLuxO607qLuj+577mnuXO5X7lXuUO5G7jvuNO4t7iXuHO4Y7h3uJ+4w7jfuPe5E7kvuVe5f7mnucO547oXumO6r7rnuxe7W7uru/O8M7yHvO+9M70HvH+8F7xXvXe/S8GHw7vFY8YLxc/FV8V3xm/Hr8hnyEfHo8crxz/H38jLydPK58v3zOvNu85/z3/Q49KP1C/Vl9bb2CfZe9qH2wfbB9rv2w/bc9vr3EPch9zb3V/eA96L3sve197732vgE+Cj4M/gj+AD31feo94H3bfdv93P3W/cY9rr2Y/Yk9fb1yPWY9Xb1cfWF9aX1wPXR9dD1sfVv9RL0svRm9DX0GvQP9BH0JvRO9H/0rvTR9Oj09vT89Pr07fTa9NH03/UF9TT1XvV99Zb1rPW99cn10fXV9cz1svWJ9V31OPUW9Oz0tvR89En0MPRF9JT1E/We9g32TPZi9l32RvYk9gD15/Xf9dz11PXC9af1hPVX9ST07/S69H30NfPy88zz1fP79AfzwPMX8kbxpfFj8U7xAvBL72DutO6E7q3u2u7e7sjutu6o7ovuVe4P7cbtfu057P3sz+yn7HfsP+wO6+3r2uvL67zrseus67DruevJ6+Dr+uwW7DPsVux87KHswezb7O3s+Oz97QPtCu0R7RXtGO0b7R3tGe0N7P7s8Ozl7N/s3uzk7Ozs8ez07P3tEu0v7UvtYe127Y7tru3Q7fPuGO4+7mbuju637uLvEO9A73Hvoe/Q8ATwPvB78Lrw9/E38X7xyPIR8lfym/Lg8yXzZ/Oq8/b0SvSf9O71O/WN9eT2O/aP9uT3PPeX9/H4Svil+QP5ZPnE+iL6f/rc+zj7lvv1/FL8qPz8/Vn9x/4//q//Df9c/6f/7wAsAFcAdACTAMMBBAFLAYwBwgHyAiECTwJ5Ap8CxQLvAxcDPgNnA5YDyQP4BB0EQgRuBJ8EzgT4BSAFTQV8BakF0gX7BiQGSgZpBogGqwbSBvkHHQdEB3EHpAfVCAEIJwhLCGwIjgiwCNEI8QkOCSkJPwlMCVEJVQliCXoJlwmzCc4J6QoCChYKJAowCjwKRApICkcKQgo4CigKFwoLCgUKBAoIChMKKgpJCnAKnArPCwULOAtjC4sLswvcDAgMPgx9DLwM7w0YDUUNfw22Dc8NwA2XDWINJAzlDMIM3Q0rDXANcg02DPsM/Q1ADZ8N/Q5TDqUO6g8WDy0PQA9TD1sPUA9ADz8PVg90D4oPjw+FD2sPRA8hDxMPHA8kDxMO4w6iDlwOEw3KDYwNZA1PDUINOQ0yDS8NKA0XDQQM+wz+DP0M7QzQDKwMggxKDAYLwguGC08LEwrRCpUKaQpRChgKHQorCioKCQnUCa0JqQm9CdEJ3wn2Ch0KRgpkCnsKnwrVCw0LOgtjC5ALuwvRC8sLvAu0C60LmAt4C2kLegufC7kLtguiC5ULlQuXC44LdgtbC0YLOws2Cy8LIQsRCwAK7ArMCqMKggp4CoQKlQqbCp0KqgrKCvQLHAtAC2cLkgu7C9sL9gwODBwMEwvoC5wLPQrhCpcKaApMCjEKCwnaCagJeQlJCRYI5QjACKQIhgheCDAIBAfcB7AHewdBBwsG2AakBmcGJgXrBcEFrQWrBbIFtgWxBacFnwWbBZQFhwVzBWAFVQVTBVUFUgVGBTQFJgUeBRUFAQTnBNoE6gUSBToFVwVwBY4FpAWUBU8E8wSvBJ8ErwTABM0E7wU7BZ4F8QYWBhQGBQX1BdwFqwVkBRwE6gTSBMYEtgSdBIIEbARXBDgEBgPFA4ADQwMMAtQCkQJAAekBkwFBAPAAlwA1/9P/gv9K/x7+6P6b/jT9vv1E/M78Xfvu+3r6/vp9+gD5jfkf+K34M/ez9zT2vvZW9gL1wfWR9Wz1R/Ub9Oz0xfS09L/04PUS9VL1mvXZ9gH2EvYR9ff1sPU49Lb0XfRB9Eb0VPSK9SD2H/c5+AL4Rvgl9+H3pPdx90T3Gfbx9sX2mPZ39mn2Y/ZI9gn1svVg9SL08/TA9H70NPP289bz1fPo8/jz7/PG83vzGvKv8kXx2/Fn8NzwN++J7vDuj+517pXuze777wfu7+697oLuUu4+7kXuU+5W7lLuYe6T7s7u4O6w7lXuAO3J7aXtfO1U7UjtZu2Y7a/tju047MvsW+vy65HrP+sB6s7qlOpD6d7pc+kQ6Lroa+gg59jnk+dR5xHm1Oab5mrmP+YX5e/lyuWy5a3ltOW45bblu+XS5fPmDOYa5jPmb+bV52ToJekb6iTrBOud7Avsf+z97V/tnO3m7nnvRe/78F3wcPBM7/jvf+8m7zjvqfAI8ALvx+/C7/rv4u7/7YTsIOtF6sLqMOmP6ULpjOo76uLrT+ui7BPssu1f7evuNu5D7kPude7t74Lv9vBA8Inw8/Fm8bbx1/Hp8gbyLPJK8mHyePKG8nXySfIr8kLyi/Lb8xbzQPNv86bzz/Pe89zz3fPl8+vz6/Px9A30QvSB9L308/Uv9Xr1zvYc9lj2g/at9uX3M/eP9+X4JPhK+GT4hfiy+OT5FflH+YX50/ot+o768vta+8X8LPyM/OT9Nf2D/dL+KP6H/uz/Vv/IAEIAvgEuAYsB3gI4AqcDKAOqBBgEYASCBJMEtwUDBWsF0QYeBlcGjwbQBxgHZAe2CA8IaQjACRMJaAm+ChMKZgq8CxQLZAucC7kLywvgDAEMKwxaDIYMnAx+DBgLdgrCCiwJyQmRCXYJeQmrChgKsAtRC9sMRAyWDOENKA1jDYkNnQ2qDbYNww3ODd8OAw4+DocOxg7vDwQPFA8sD1APfA+oD88P9hAhEE0QaxB0EHsQnBDXEQgRFBEOER8ROhELEFsPhw9bEEoRzhKhEc4PiA0GC4MLXgwWDOUNXg2MDaQNug28DZoNYQ0yDRoNBgzeDJgMRAvyC7ELhAtpC1ILJArSCmsKGAntCdsJvQmDCT8JDQj2CO0I3QixCGEH8wd7BxcG0galBn0GVgY3BiUGFgX9BdUFowVtBTAE8QS0BIIEWgQ1BA8D5gO7A5IDawNNAzcDJAMJAuICrwJ3Aj4CDgHrAdQBwQGsAZMBegFaATAA/QDQALQApQCTAHQATQApAAv/8f/a/8j/uv+o/4r/Zf9D/yr/FP77/uD+xf6p/or+bP5W/kv+QP4p/gf95/3V/c/9yf28/an9mP2O/Yj9hf2F/Yn9j/2T/Zb9nP2o/bn9yP3T/dr93v3g/eT98P4J/ir+SP5d/mv+df58/n3+fP5+/oH+fP5n/kz+Ov43/jr+PP5F/l7+gP6Z/qz+1P8m/5H/5P/5/9D/iP87/vb+wf6l/qD+p/6r/q/+uf7K/tv+7P8F/yz/U/9t/3z/jP+m/8P/4QAEADUAZwCIAJEAlQCqAMoA4gDlAOAA5gD8ARMBHgEaAQ8BCgENARUBGQESAQIA7wDdAMUApQCEAHEAbgBvAGMASwA1AC4AMgAyACoAHAAN//r/4f/D/6X/iP9p/0j/Jv8E/uL+vf6Z/nf+V/40/g796f3H/af9hv1j/UH9JP0H/On8y/yu/JP8efxg/Ej8MPwU+/X71vu8+6X7jPtx+1f7QPsn+wn65/rG+qr6jvpy+lX6OPoZ+fj52fnC+bL5ofmM+XH5V/k8+R/4/vje+MD4ofh++Ff4MfgM9+f3wPea93f3Uvcq9v720fam9nz2UvYq9gT13/W39Y71ZfU99Rb08fTP9K70ivRh9Dj0EvPx88/zq/OG82PzQvMh8v/y3fK68pTyavI/8hbx7/HJ8aTxgPFf8T7xG/D38NPwrvCJ8GXwQ/Ag7/3v2++/76jvju9u70rvKO8O7vru6O7Y7sjuuO6m7pHueu5k7lPuS+5J7kruRu477i7uI+4b7hTuDu4K7gzuEe4Z7iLuKO4s7jDuOu5J7lfuX+5l7nHuhO6V7qDuqu677tTu6+797xDvKu9B70nvP+8u7ybvMe9d77nwRPDa8UHxW/FE8TrxZfG48gLyHfIM8e3x3/Hu8hXyS/KI8srzDfNM84fzxPQO9GX0wPUU9WX1vfYg9n72wfbe9uL25fb39xb3NPdJ91j3aveD95r3qfe198r37/gW+Cz4LPgh+Bf4C/f299n3xffE98j3sPdq9wP2n/ZV9iD18fXE9ab1qPXH9fH2EfYc9gr11/WA9RL0ofRF9Abz3/PN89Tz+PQw9Gv0l/Su9Lj0u/S49Kz0mvSN9JH0rfTa9Qn1MfVS9W/1ifWi9bz11/Xv9fn16/XP9bT1ofWP9XL1R/UT9NX0kfRi9HD0z/Vk9e72PPZL9jj2HfYC9ez14PXi9er16PXZ9cL1q/WN9WT1M/T+9ML0d/Ql8/Hz+vQ19GH0NfOk8u/yavIn8efxVPBj72buxu6h7sPu4+7o7uLu3e7N7p/uWu4T7dXtl+1Q7Qvs0uym7HrsR+wV6/Dr2OvH67jrrOum66jrsuvC69br7OwE7CHsROxq7I/ssezO7OXs8uz47Prs/Oz77Pfs9Oz17Pjs9uzq7Njsx+y57K3sp+yo7K/stuy97Mjs3Oz67RjtMu1I7WDtfu2j7crt8O4U7jnuYe6O7r7u7e8c70rveO+m79fwDvBL8IzwzvES8VzxqPHy8jfyefK+8wPzR/OL89X0JvR49MT1D/Vf9bf2D/Zk9rj3Dvdn98D4GPhz+NX5Ovmd+fv6WPq2+xX7c/vN/CH8dPzN/Tb9qv4c/oD+0/8f/2n/rv/kAAsALQBYAJAA0gEVAVEBhQG2AeYCEwI6AlwCgAKoAtAC9QMbA0kDfgOwA9cD+QQgBFEEhASxBNkFAgUvBVwFhwWwBdgF+wYYBjMGUwZ6BqUGzgb3ByMHUQd/B6sH0wf3CBcINghXCHwIoQjFCOYJAgkSCRkJIQkzCVIJeAmbCbwJ2wn1CgkKFAobCiIKKQovCjQKMwopChcKAwn1CfAJ8gn3CgQKGwo9CmcKlwrNCwULOAtmC5MLwAvtDBkMTQyMDNENCQ0qDTsNSQ1WDVsNUg0+DSQM/wzODJsMeAxpDGAMTgxEDGMMuw04DbQOFw5hDpwOyw7yDxQPNA9ID0YPNA8qDzwPZA+KD54Pnw+TD3gPTQ8hDwoPDQ8VDwcO2Q6XDkwN/Q2tDWUNNA0XDQYM+QzzDPgM/gz7DPAM5wziDNcMvwycDHkMVgwpC+wLqAtnCysK7QqtCnQKRwonCf8J9gn8CfoJ4Am0CZcJmwm1Cc0J4An9CikKVApwCoYKrgrsCywLYQuTC84MCwwxDDIMHwwMC/sL4Au+C6wLuQvZC/EL8QvfC80LxQvAC7cLpQuKC2wLUgtCCzYLJgsPCvUK2Qq2Co0KawphCm8KgQqGCoIKiQqkCsgK6QsKCzYLcAumC8gL2wvsC/wL+wvWC4wLMQraCpkKcApXCkEKJQoBCdUJogllCSII6QjGCLUIogh9CEYIBgfGB4YHRwcNBtkGrAZ+BkoGFAXhBbgFoQWcBaIFpAWdBY4FgQV6BXUFbAVdBUgFMQUeBRMFEQUTBRYFGgUfBR0FCgTpBM8E0wT0BR4FQAVeBYYFrAWvBXgFGgTGBKEEpQS1BMIE1QT/BToFcwWcBbYFywXYBdAFpwViBRoE6ATUBNME0QTCBKsElgSBBGMEMgPzA7EDdAM5AvoCsgJjAg0BtwFjAREAuABT/+3/mf9h/zr/C/7C/lv94f1f/N/8aPv6+4z7E/qN+gT5hPkN+Jf4GveX9xX2nfY29eH1ofVy9U/1LvUD9M70m/R79HH0dfSC9Jz0xPTv9Qn1DfUF9PH0vPRc8/Lzt/PJ9A30XfTA9WX2VvdW+Ab4P/gj9+v3svd39zz3EPb59uj2yPaa9mn2PPYI9cT1d/Ux9Pz00vSo9HX0OvQC89/z2vPp8+7zy/N48wLyg/IR8a/xVPDw8Hnv7u9f7ufun+6M7qDuve7O7s3uve6c7m3uP+4u7kLua+6G7ovuj+6n7sXuw+6M7jnt7u277ZHtZe1D7Ubtbu2W7ZPtUuzk7Gjr9euT60XrCera6qzqcOof6b3pW+kD6Ljocugr5+LnnOde5yfm8+bA5pLmaOY/5hDl3eWx5ZfliuWB5XXlcuWC5Zrlp+Wk5ajly+YU5njm9OeI6C3oxulF6bnqOeq86yTraeu17DHsz+1Y7bHt7u4p7k7uRe4l7iruXe587kPtze1z7VDtG+yE653qzepN6fLpgOkR6Qnpouqp66fsSOyJ7KTs1O0v7Z/t9u4h7j3ugu8D75jwCfBS8Jjw9fFU8Y3xnfGo8cTx6PIA8hDyJvJB8k7ySvJO8nTyuvMD8zzzbPOj8970BvQP9AXz//QG9BP0H/Qw9FT0jPTK9P71KvVb9Z/18PY+9nv2p/bO9wT3VPe2+BX4WPh2+IH4k/i6+PH5K/ln+a36Afph+sf7L/uY+/z8Wvy0/Q/9Z/26/gn+X/7C/y7/nAALAIEA9gFeAbMCBAJkAtgDTwO4BAsESAR3BKME3gUzBZcF9AY8BnYGsQbzBzoHhAfVCC8IjQjoCT4JkQngCi0KfQrRCyMLYQuEC5cLsQvaDA0MPwxsDJAMmAxnC/ALSAqdChYJvgmLCXkJlgn5Cp0LWgv7DGIMngzRDRANVQ2LDagNsg27DccN1Q3fDewOCA49DoMOxg72DxAPHw8yD1IPfA+nD9EP/hAwEF4QehCBEIYQohDUEQARDhEREScRPxEKEFYPdg8iD88RExHWETkPXg1NDBQMBgypDVANqA3KDegOBQ4CDc4Ngg1KDTANGwznDI4MJQvJC4ULWAs6CyAK+gq/CngKOwoZCgkJ9wnQCZcJVQkYCOgIxAiiCG4IIAfEB28HMQcCBtYGqQaDBmYGSwYpBf4FzAWUBVQFEATUBKgEhwRnBEEEFQPpA8ADnwOHA3IDVwMyAwYC2gKsAnsCSQIfAgEB7QHcAcoBuQGgAXcBPQECANYAvQCoAIsAaABKADQAIAAJ/+//2P/D/6r/iv9o/0v/NP8g/wn+6/7I/qb+jf6B/nr+bf5S/jH+FP4D/fv98v3k/dL9wf24/bT9tP21/bT9s/2z/bT9t/2+/cn91f3g/eb96P3o/ev9+P4S/jX+U/5m/nD+d/5+/n/+ev55/n7+gv55/mT+Vv5X/l/+Y/5m/nj+l/6y/sT+4/8s/5j/8QAI/9v/j/9I/xP+9f70/xX/Rv9s/3f/bv9a/z7/H/8R/yb/WP+K/6D/nv+d/7H/4AAbAFMAeACDAH8AgwCeAMcA6QD3APwBBQEYASwBOgE+ATsBNAEwATQBPQFBAToBLAEdAQoA7gDOALcAsgC0AKoAjwBzAGcAagBsAGIATwA7ACkAFf/8/+H/xf+n/4j/av9P/zP/EP7p/sP+ov6B/lz+NP4P/ez9yP2g/Xn9Vf02/Rj8+vzc/L/8o/yH/G78VPw3/Bb79fvZ+8H7qPuL+237UPs0+xf69vrX+rr6nvqA+mT6SPor+gn56PnP+b75rvmX+X35YvlH+Sj5A/jh+MT4qfiJ+GX4Qvgi+AP34Pe895j3cvdH9xf26fbA9pr2dPZN9if2APXX9az1g/Ve9Tv1F/Ty9Mz0o/R29Ej0HfP589jztPOO82jzRPMh8v/y2/K28pDyavJD8h7x9/HP8anxh/Fn8UbxIvD68NLwqvCD8F/wPvAd7/rv1++575/vhO9k70HvIu8K7vfu5O7R7r7uq+6X7n/uZu5R7kXuQe5D7kTuP+4z7iPuFO4K7gXuBe4H7gruD+4V7hzuH+4d7hzuI+4z7kTuTu5T7lzube5/7ozumO6o7r/u1u7q7v7vF+8v70DvTO9W71nvUO9G71/vuvBK8NfxKvE88TXxRvF98cfyA/Id8hjyBPH68gbyKfJc8pry4PMp823zqvPm9Cr0efTN9SP1gPXp9lv2v/cB9xr3Hfcj9zj3Vvdt93f3eveA94v3mveu98739vgZ+Cz4Mvg6+Er4V/hQ+Dj4Ivge+CH4C/fJ92D27faK9kL2DfXn9dX14PYI9jv2YvZs9lD2EPWt9TH0r/Q78+TzrPOY86/z7vRC9Iv0tfS/9Lj0q/SZ9IT0c/R09In0rfTT9PP1DvUo9UT1X/V79Zz1xPXq9f31+PXo9d312/XV9cL1qPWJ9Vj1BvSm9Hb0q/U29c32JPYw9hX1+/Xs9eL13fXn9fj1/vXv9dX1vvWs9Zb1ePVO9RH0tvRL8/3z9PQm9E/0LfPD81XzHPL98pzxvfCN74Tu/e7u7wbvC+787vbu/O7u7rjuZ+4Z7dztou1f7Rjs2+yp7HrsSOwV6+vry+u166brneuZ65rroOut68Dr1uvw7BHsN+xc7H7snuy97Nfs6Ozu7O/s7uzq7OLs2uzW7NXsz+zB7K/soOyU7Ifse+x27HzsiOyW7KXsuezR7O3tB+0f7TftU+137aLtzu317hruQu5v7p/uzO737yXvVu+I77jv6/An8Gzws/D48T7xhvHO8hPyVvKa8uHzKPNw87r0CPRX9KL06/U59ZD16PY/9pP26Pc+95P36PhD+Kf5EPl3+db6MvqP+u77Svuh+/H8Rfyp/R39lf3//lT+nv7n/y//bf+b/8D/6gAfAF8AoADcARIBRQF1AaUB0gH4AhkCOgJhAosCsgLYAwMDNgNpA5MDtQPbBAoEPQRtBJcEwATpBRIFOQVfBYYFqAXFBd4F/AYjBlEGgQauBtcG/gckB04HeQeiB8YH5ggHCCwIVQh/CKYIxgjaCOUI8QkHCSoJUwl8CaIJxQnhCfEJ+An7Cf8KBAoKChAKEQoLCf0J7QnjCeEJ5QnsCfsKFgo7CmcKmArOCwQLNQtjC5MLyQwADDIMYgycDOANIA1LDVsNVg1IDTINFwz6DN0MuwyKDE4MEwvqC9oL5gwTDGkM4w1oDdwOLw5lDo4Otw7jDxAPMw9CDzoPLA8uD0oPdQ+aD68PtA+sD5EPYQ8pDwAO8A7qDtUOpw5oDiIN1g2HDUANDAzrDNMMvwy1DL0MzgzZDNcMzgzDDLIMlgx0DFQMNgwOC9QLjgtICwcKzAqWCmcKPgoaCfgJ4AncCdsJzgm3CasJtAnKCdsJ7QoQCkgKfgqiCr4K7AswC3ULqwvcDBoMYQyUDJ8MiwxrDEwMKgwMDAAMDQwnDDYMMAweDAsL/gv1C+sL2Qu5C4wLYAtDCzYLKQsUCvgK2wq6CpQKcApgCmcKcwpzCmgKZgp5CpcKtQrVCwkLTQuMC7ILwQvMC9kL1guvC2YLEQrICpEKaQpKCjAKGAn8CdYJoglfCRcI2wi4CK0IpQiKCFQICAe0B2IHGgbhBrIGiAZeBjQGCAXdBbUFlgWHBYIFfgVxBWAFUwVOBUsFRAU3BSQFCwTxBOAE4ATwBQIFEAUXBRYFCATrBM8ExwTcBQAFIgVFBXEFoAW0BZIFQQTrBLUEpwSrBK8EsgS+BN4FDQVCBXQFngW2BbMFjwVQBQoE2QTJBM8E1gTOBLoEpgSRBHMERAQIA8wDkQNSAw0CwwJ3AiYB0AF6ASUAzgBsAAX/rv92/1P/Kf7h/nn9/P12/PL8dvwE+5X7HfqZ+g/5ifkJ+If4Afd49vL2dvYM9bf1ePVL9Sn1CPTe9Kv0evRa9Er0PPQp9Bn0HPQs9DX0LPQa9Afz4/Oj82TzXvOu9DD0q/Ub9a72f/de9/P4Gvf097v3g/dG9wX20/bA9rz2qvZ99j319fWt9Wn1LPT59M70pvR/9Ff0LPQD8+fz4PPj89LzlPMk8pfyB/GF8RfwuvBq8Bnvvu9b7wLux+6u7qruqO6g7pjuke6E7mbuP+4s7kHucO6Y7qbupe6m7qXujO5T7gztz+2h7XjtU+1E7Vjtfu2K7WDs/+yC7APrles+6wDq1+qz6obqSun/6a3pW+kP6MrohehA5/rnuueD51XnKOb75tHmrOaH5lrmIuXn5bjlmOWC5XPlceWA5ZvlsuW75b/lzuXu5h3mW+av5xrnjef36FvoxOk26abqEOp+6vnrcevO7BXsZezP7TPtZe1l7VvtYu1c7SLsuuxZ7Bfr0utY6rPqHem46WrpE+jO6O7pqOrW7AXsyu0D7Obs0Oz87WLtyu4M7jruie8N76LwGPBn8K3w/PFC8WPxZfFr8Yjxr/HM8d3x8/IV8jnyWfJ88qzy6fMk81jzi/PF8/z0G/Qc9Av0AfQK9CH0PfRd9In0wfT69Sn1TPV19bP2AvZU9pX2wvbp9x33cPfb+EX4jPij+J74o/jI+Qj5TfmP+db6KvqQ+v/7b/vX/DD8gPzS/S79jv3l/jb+j/75/27/4ABNALwBKwGPAeQCNQKXAwYDcAPGBAsESgSLBM0FFgVrBcgGHwZmBqMG4gcmB2sHsggACFcItAkPCWYJuwoNClwKqQrwCygLRQtSC2ULlAvZDBwMTAxnDHEMYAwgC6sLFQqACgkJuQmSCZsJ5Qp4C0AMCwyiDPENEg0tDVcNhw2oDbUNuA3BDdEN4Q3tDfYOCg4zDnAOtA7tDxAPJA82D1IPew+qD9sQDBA+EGgQhRCREJoQrxDUEPgRDhEdETcRRREHEFIPag7uD1IQThD+EJ0POQ2qDNIM7Q2KDhMOTw5lDoQOqQ6kDl4N8A2JDUENCwzMDHgMHAvHC38LQgsOCuMKwAqhCoEKYgpICjYKJgoQCeYJpAlWCQ8I4QjCCJwIYQgYB9MHmAdhBycG8AbFBqQGgQZVBiEF6gWvBW4FLAT0BMkEpwSFBF8ENAQLA+cDzQO9A6oDigNaAycC/ALWAqsCdwJGAiYCGAISAggB+AHgAbgBfgE7AQIA2wDAAKcAjgB4AGgAVwBAACIAAf/h/8H/o/+I/3D/Xf9J/zD/Dv7m/sL+q/6f/pf+h/5x/lr+Rv42/iX+FP4F/fj97v3m/eL94P3d/df90f3P/c/9z/3N/dD92P3k/e799P33/fr+BP4Y/jT+Tv5d/mX+bP51/nv+d/5x/nP+e/5//nj+cv54/ob+jv6R/p7+uv7W/uL+6/8P/1X/mf+y/5z/cf9J/y//Lf9X/7gAMwCWAL4ArABrAAb/kv8//zv/hf/hABAABv/v//YAHwBOAGoAcgB2AIQAnwDAAN4A8gD+AQkBFgEhASoBNAFDAVEBVwFVAVYBXgFnAWMBVAFGATsBLgEWAPwA7wDsAOUA0QC4AKsArACsAJ8AhwBuAFoARQAuABX//f/l/8v/sf+a/4D/Xv8z/wf+4f7A/p3+d/5R/i/+Df3l/bn9j/1p/Uf9J/0J/Ov8zfyu/JD8dfxZ/Dn8F/v3+9z7wfuk+4T7ZftG+yb7B/rq+s76sfqS+nT6Wfo++h75/Pnh+c75vPmj+YX5aPlN+S35CPjl+Mn4r/iR+G34Svgt+BL39PfT97H3ivde9y33APba9rj2lfZu9kb2HvXy9cT1mvV39Vf1NfUN9OL0tPSE9FT0KPQD8+HzvvOY83DzS/Mn8wPy3fK38pLybvJL8iXx/fHU8a3xi/Fr8UnxIfD48NDwqPB/8FnwNvAW7/bv1e+175jve+9d7z7vI+8N7vju4O7I7rPuoO6L7nHuWO5G7j7uPe4/7j3uNu4p7hfuBu367fft/e4H7hDuFu4b7h3uG+4U7g3uD+4d7i3uOe4/7kbuVe5n7nnuiO6Y7qnuu+7P7ujvAu8a7yzvQe9g737vh+9372vvje/t8HLw6/Ez8UjxR/FU8YTx0PIW8jjyL/IU8gXyFPI78nPyufMI81bzmfPR9Av0UvSn9QH1XfXE9jr2tPcX90z3WPdU91z3cveK95b3lveT95X3nfeu98r37vgT+DP4U/h2+Jj4p/ic+H74Zfhc+Fv4TPgZ97z3Q/bJ9mX2I/YB9fv2EPY/9nv2rPa+9qP2W/Xp9Vn0v/Qx88LzfPNp847z4vRJ9J30yfTQ9MX0s/Sd9Ij0fvSK9Kf0xfTZ9Ob09fUN9Sn1RfVj9Yr1ufXj9fj19/Xx9fX1//X/9e/13vXU9bv1cfT99KL0qvUd9a/2CvYX9f316/Xp9en16PX09g32HfYP9en1w/Wv9aj1oPWF9Uf04fRm9Afz5vP18/fzwvNy80vzX/Nh8uLxxvBu72/vEu8l70PvN+8V7wTvBu727r/ua+4Z7dXtmO1b7SDs6ey37ITsTuwb6+7ryeus65nrj+uK64jri+uX66rrwuve6//sJOxH7Gbsg+yi7L/s0OzU7NHszezL7Mfswuy/7Lrsr+yd7IvsfOxw7GTsVuxO7FPsYux47I3soey27M7s6u0F7R7tN+1X7YLtsu3e7gTuKu5U7oHuq+7T7wLvOO9v75/vz/AJ8E/wmPDc8RzxYPGn8fDyNvJ88sPzDPNV86Dz7fQ79If0z/Ub9W31xfYc9nH2xvca92z3wPga+H746PlO+a36B/ph+r77Gvtw+8L8HfyH/QD9dP3V/iL+aP6w/vb/LP9R/3T/pP/iACUAZACcAM8BAAEuAVoBhgGtAc8B8AIWAkMCcAKaAsQC8gMiA00DdAOdA8sD/AQrBFYEgASnBMsE6wUMBS4FTwVtBYgFpgXOBf8GNAZlBo0GrQbMBvEHHQdKB3QHmge/B+cIEgg/CGkIigiiCLIIxQjfCQAJJglOCXYJmgm0CcIJyAnOCdQJ2gncCd4J3wndCdYJ0AnNCdAJ1QngCfQKFAo8CmcKlgrJCv0LLAtaC40LygwMDEcMeAypDOUNJw1dDXkNew1mDUENEAzVDJYMVgwVC9wLuQu5C90MGwxpDMUNLA2UDe0OLA5aDoUOuQ7xDyAPOQ8+DzsPPA9LD2UPhA+hD7gPxg/ED6gPcA8pDuoOwQ6lDoUOVg4cDd4NnQ1aDRsM6wzJDKsMjgx9DIMMmQysDLAMpQyWDIUMbwxUDDcMGAvvC7QLbAshCuAKrAqECmQKRAoeCfkJ2wnTCdcJ2AnWCdoJ6An3CgAKEQo9CoQKygr8CyMLVwugC+YMFww7DGwMrAzkDPoM7QzNDKgMhQxtDGkMeAyIDIgMdQxaDEMMMwwnDBsMCAvhC6gLbwtKCzoLMAsdCwEK5ArFCp8KeQpgCl0KYgpbCkoKQgpOCmkKhQqoCt8LJwtpC5ELoguuC7cLrAt8CzEK5QqpCnoKUAolCf0J2wm5CZAJXQkiCOMIrQiMCIEIgQhzCEcH+wedB0IG+gbGBp8GeAZPBikGBQXgBbgFkQV2BWQFVQVCBTAFJgUjBSEFGQUNBP8E7QTbBNIE3ATzBQYFCwUHBQIE+wTtBNsE0ATYBO0FCAUoBVQFiAWqBZ8FYwURBM0EqQScBJUEjQSLBJ0ExgT+BTMFWgVuBWoFTQUaBN4EtASoBLQEvgS2BKIEjwR+BGMEOAQEA9ADmgNcAxICxgJ9AjEB3QGFATAA2wB+ABn/wv+J/2j/Qf75/o/+Ef2N/Qv8jPwR+5X7F/qU+hD5jPkD+Hb35/db9tP2U/Xj9Yz1T/Uk9QH03vSz9IL0U/Q09CP0EPPx88/zvPO687bzovOH82zzS/Md8wPzNPPC9HT1APVd9cj2cfcy97f30fek92n3OvcH9sj2jfZo9lf2Q/Yb9dz1jfU89Pj0yvSr9I30a/RL9DH0G/QE8+/z4PPM857zR/LO8kTxtPEj8J3wNe/0783vp+9x7zHu9+7N7q/uku567mzua+5q7l3uR+497k/udu6Y7qPunO6M7nTuTO4T7dftpe187VvtSu1X7Xrtku157SXsq+wo67DrS+r/6s7qseqV6m3qNun46bbpdOkw6O3oq+hs6DHn/efS56zniOdh5zznGeb25s3mmuZh5ivl/+Xd5cXlu+XD5d7mAOYb5ifmKuYs5jnmWeaR5uDnPOeS597oJ+iB6Pbpf+oP6pPq/etM65Lr5uxN7K7s6uz57PXs9Ozx7NvssOyA7E/sAut+6tPqN+nT6aDpfOlm6YzqIesb7CXs2O0F7N3swez27W3t5e4y7mjuue8277/wKvB18Lbw+fEv8UTxQ/FI8WbxjvGu8b/x0fHz8ibyZPKj8t7zFPNE83TzqPPd9Aj0G/QR8/jz5vPu9A/0PPRr9Jv0z/UF9TH1VPV69bP2AfZS9pT2wvbr9yT3fPfu+F34pvi7+LT4uvjn+TH5f/nC+gT6VfrA+zr7s/wZ/Gf8qPzv/Un9rP4H/lz+u/8u/6wAIACJAPEBXwHJAiUCfQLcA0EDmwPiBCEEZgSxBPsFRAWUBe0GQwaPBtEHEgdWB5gH2wgmCH4I2wk2CY4J5go+Co8K0gsBCxsLJQswC1ILjgvQC/sMBwwCC/YL2wugC0AKxwpOCewJswmxCe8KaQsSC88MfQz+DUwNdw2ZDb0N2g3lDeIN4Q3pDfgOBQ4MDhEOHg4+DnUOug76DyQPOA9ED1kPfw+0D+wQIBBMEHIQkRCpELkQyRDiEQARHhE5EVMRWBEWEGYPdw7RDucPmhAzEAAO/A3bDV4NsQ5fDtsO+g7xDv8PIA8lDugOcQ3nDXANGQzeDLEMhAxMDAQLrwtVCwYKzQqvCqIKlQqACmcKUgpACiMJ8AmtCW8JQwkfCPEIsQhsCC4H9AeyB2kHJwb3BtQGrwZ9BkEGAwXEBYYFSwUYBO0ExQSfBHoEWAQ3BBgD/gPsA9gDtgODA0wDHwL6AtACnAJrAk4CSAJJAkECLAIPAecBswF0ATUBAwDgAMkAtQCjAJIAfwBpAEsAJv/9/9f/uv+o/5r/if9w/0//KP8A/t7+xf60/qb+lf6G/nz+c/5i/kr+Mf4g/hf+EP4H/f/9+v33/fD96f3m/eb95f3h/d/95P3v/fn9//4C/gb+DP4Z/i3+Q/5S/lf+XP5n/nH+cf5p/mf+b/55/n3+fv6I/pz+rP60/r7+1f7v/vv++/8B/xv/Ov9I/0H/Mv8o/yn/Rf+cADoA+gGcAfIB8AGbAQAASP/F/74ALQC2APwA9ADXANgA6wDlALsAlACcANUBGgFBAUIBMQEoATIBPwE+AS4BIQErAUgBZAFyAXgBggGMAYkBdwFkAVsBVwFJAS0BEwEHAQMA+gDsAOIA4ADcANAAuwCnAJUAgQBpAFAAPQAqABT/+v/g/8f/pv98/03/JP8A/t7+uP6S/nD+T/4q/f790f2n/YD9Xf08/Rz8+vzW/LH8kfx2/Fn8OfwY+/j72fu6+5v7fPtb+zn7Gfr++uX6yPqn+ob6a/pS+jT6E/n3+eP5z/m0+ZT5dvlZ+Tn5E/jv+NP4ufia+HT4Ufg0+Bv3//fe97v3lvdt90H3Gfb49tn2tvaO9mT2OfYK9dn1rPWI9Wj1RvUc9O/0wPSR9GP0OfQV8/LzzfOl833zV/My8wzy5vK/8prydvJR8inx/vHT8azxi/Fp8UPxGfDv8MnwpPB88FPwLfAP7/Pv1e+275bvd+9a70HvKu8U7vvu3+7D7qvul+6B7mjuUe5B7jvuOe427jHuJ+4Z7gft9u3r7ert8u3+7gruEO4S7hDuC+4D7fzt+u4C7hHuH+4p7jHuPO5O7mHuc+6D7pHun+607tDu7+8I7xnvLe9P73zvoe+t76Lvn+/F8CPwpfEc8V7xYvFP8VrxnfH88kHyT/I08hbyEvIr8lnymvLq8z/zivPH9AD0Q/SU9Oz1RfWn9hv2nvcW92b3g/eA93n3g/eb97P3w/fI98X3wffA98v35fgN+EL4f/i5+N344PjH+KP4hfh0+Gj4Wfg49/b3jvcO9pn2SfYl9iP2PPZq9qn24/b/9un2mfYW9W/0vfQd86LzV/NE82nzvPQh9HT0o/S09Lf0tPSt9KX0pvS09Mn01vTY9Nz07fUK9Sv1SfVo9ZH1wPXo9fr1+/X89gr2GvYc9gz1/vX/9fr1w/VR9OD0w/UU9Zf19PYJ9fj18vYA9gv2DvYY9jL2SfY89gv10fWw9az1rvWX9Vb07fR49B/z9/Pp88PzdvMs8x7zP/Mt8oXxSO/z7xbu4u8S70DvPu8h7wru/O7f7qfuXu4U7c7tju1U7SXs+uzK7JLsWuwp7ADr2eu265vri+uA63rrfOuJ65/ruOvP6+vsCuwq7EfsZOyC7J7sruyu7KXsneyb7J3soOyk7KPsmuyH7HHsX+xQ7EPsNuwv7DHsQOxY7HLsi+yi7Lvs1+z27RHtKe1F7Wztme3E7ejuDe447mfuku667ujvIO9Z74vvt+/t8DDwePC68PnxO/GG8dTyHvJl8qzy9fM+84fz0/Qh9G70tvT/9U71o/X59k/2o/b290n3nff2+Ff4vfki+YD52vo0+o/66ftB+5j7+Pxj/NT9Pf2V/d/+Kf5z/rX+5P8F/yr/Xv+g/+MAHwBXAIsAugDkAQwBNQFeAYIBowHJAfYCKQJZAoUCrgLYAwMDMANfA48DvQPnBBAEOQRgBIMEoAS9BNsE+gUXBTMFVAV+BbEF6QYcBkUGYwZ+Bp4GxgbzByIHTwd8B6oH2QgICDEIUghqCIAImQi2CNQI8gkTCTYJVwlvCX4JiwmaCagJrQmqCaUJowmkCaUJqAmuCbgJxAnTCe0KEQo5CmEKiwq7Cu8LIAtOC4ILwwwMDFAMhgy2DOoNJg1bDXsNgA1uDUgNEAzGDHAMFwvPC6cLrQvgDC4MggzNDRENWQ2kDeoOIA5PDocOzQ8PDzQPOw82Dz4PVw90D4kPmA+oD7sPxw/AD5sPXA8NDsEOgw5TDicN9g3ADYwNWA0kDPMMyQynDIYMZgxRDFQMbAyFDIwMfQxmDFIMQAwrDBEL8AvFC4gLPwr1CrkKkAp4CmUKSgokCgIJ6QnmCfAJ+goBCg0KHQorCjUKSgqBCtYLLgtwC6IL3QwnDGsMlQyqDMQM8A0fDT0NPw0tDRAM8wzgDOAM7wz8DPMM0gymDH4MYAxNDD8MKgwDC8kLjAthC0wLPgspCwsK6grHCqAKdgpZCk4KSwpCCi8KIgopCkAKXgqFCrwK/ws8C2QLeQuKC5MLgQtLCv8KuwqKCmEKMQn5CcAJiglUCR8I7Ai/CJUIbQhPCEIIRAhBCCEH2wd9ByIG4Aa4BpsGegZSBioGBAXeBbIFhwVlBU0FOAUhBQ4FBAUBBP4E9gTsBOUE4ATeBOYE+gUSBRwFEQT9BPIE9AT5BPYE7wTrBO8E+QUNBTIFZQWRBZkFcgUqBN4EpQSGBHUEawRoBHEEiwSwBNUE8AT+BP0E6QTBBJEEcQRvBIQEkwSNBHgEZQRXBEIEIAP3A88DogNkAxYCxgJ+AjcB6AGSAT8A7wCXADX/3P+h/37/V/8P/qT+J/2n/Sj8pvwf+5X7DPqH+gb5gfjz+F73zfdE9r72PPXF9Wr1LfUD9OD0vPSU9GT0NPQO8/jz5vPM863zmPOP84LzaPNG8yTy/PLP8sfzIPPh9Lr1TfWN9cf2QPbg91L3Z/c69wf25fbA9or2TfYc9fz13/W39Xn1JfTM9IX0YPRS9EX0L/QY9Anz//Pw89nzuvOK8z7y2PJm8fLxdfDl8FHv3u+k75fvlO9971HvG+7k7q/ugO5d7k3uSu5N7kzuTe5Y7m/uiO6U7ovudO5W7jLuBO3O7Zntbe1N7UDtTO1y7Zftle1V7OHsWevc63LrHOrd6rfqouqO6m/qROoQ6dbplelQ6Q3o0eib6GzoQugf5/7n3+fA56Hngedf5znnDubg5q/mgOZX5jbmIeYc5ivmSuZq5n3mf+aA5o7mreba5xPnVeea59voG+ht6ODpb+oB6nvq2usp63nrzewg7Gnso+zL7Obs9+0C7QvtE+0W7QTsvewy63zq2uqF6oHqoeq56tLrGeul7EvsvuzZ7MPsz+0o7bTuNe6M7tHvJ++U7/rwQ/B48K7w6/Eb8THxNfE+8Vnxf/Ge8a3xuvHa8hnybvLF8wnzOvNj85Hzw/Pw9A70FvQE8+DzwPO+8+L0HPRV9IT0tPTq9R/1SvVy9aj18PY79nr2qfbZ9xz3evfo+FD4l/i4+MT43fkX+Wj5uPn5+jj6i/r7+337+vxc/J780f0P/Wf9zP4u/on+8P9r/+8AZgDNATMBowIWAn0C2QMzA4oD0wQMBEMEhwTUBR4FZQWzBgwGZga0BvgHOgd6B7YH9QhBCJ8JBQlkCbsKDgpdCp8KzQroCvoLEAszC2ELiAuRC3YLSwsuCygLIQsACrwKYgoJCcoJvQn1Cm4LCQulDC4Mow0JDWINsA3xDiMOPg5FDkEOPw5BDkAOOQ4vDioOMw5TDo4O2g8hD0wPWQ9aD2YPig/BD/8QMxBaEHoQnRDAENkQ6BD8ERwRQhFhEXQRcxE6EJ8PtA7pDrsPLA+nD4EOqw3FDYcODw7ZD08PSA8NDu4O/w8VDwAOsA41DbUNWQ0zDTcNPg0nDOcMhgwUC6ELQgsDCuMK0Aq4CpkKfApnCk8KKAn5Cc4Jqgl+CT8I9gi2CIUIUwgQB70HbwczBwcG2gajBmIGHgXcBaAFawU/BRYE7QTHBKgEkAR4BFoEOQQZA/sD1QOkA28DQAMaAvUCygKiAosChAKBAnMCWAI2Ag8B4gGsAXIBPAESAPUA3wDKALMAmgCBAGUAQwAb//b/3v/U/8v/tv+S/2n/RP8l/wn+8P7Y/sP+sf6m/qH+nP6L/m3+UP48/jP+K/4f/hX+Ef4Q/gv+A/39/fz9/f37/fr9/v4F/gj+B/4G/gj+Df4V/iT+OP5J/lH+VP5c/mn+b/5q/mT+av54/oP+if6U/qv+xP7S/tj+5P74/wr/EP8S/xb/Hf8d/xn/GP8f/y7/Wf+9AGYBNAHsAmECfgI8AaUA8wCJAK8BRwHgAiECGgIXAjoCTwIVAZcBLwEpAX0B4AIPAgIB3AHIAc0B0AGzAXIBLwESAScBUwF0AYMBjgGcAaABkgF8AW8BbQFlAU8BMgEgARwBGgEUAQsBBAD9APIA5QDbANIAwwCqAJEAfQBsAFYAOQAdAAb/7P/J/57/c/9P/yv/A/7a/rT+j/5p/j/+E/3q/cD9mP1y/U79Kv0B/Nf8sfyS/HX8V/w2/BT78fvP+677jvtu+0z7LfsT+vz64Pq9+pr6ffpk+kf6J/oL+fb54vnJ+an5ivls+Uv5JvkC+OT4yfip+IP4YfhF+Cr4Cvfl9773mvd391P3M/cW9vf21Paq9n72UPYe9er1u/WU9XP1TvUk9Pf0yvSg9Hf0UfQs9Abz3fOx84fzYPM68xTy7fLH8qLye/JS8ifx+vHO8ajxhvFk8TzxEfDn8MLwn/B68FHwK/AM7/Lv2O+675nvee9d70bvMu8c7wLu4u7D7qnuk+587mPuTu5A7jjuMu4s7iLuFu4H7fXt5e3b7drt4O3p7fDt8u3v7evt6O3n7eXt5O3o7fXuB+4W7iDuKe427kjuWu5r7nnui+6h7r7u3O727wvvHu84717vjO+x77zvsu+w7+HwVfDo8VjxefFh8U/xefHV8jDyXPJT8jXyIvIo8knyg/LP8yXzdvO68/b0MvR49Mn1IvWF9fn2e/b792D3lPec95H3jvei98f37fgE+AX39vfk99337PgT+FH4m/jc+P74+/jh+MX4rviV+HX4U/gy+AT3uPdL9tn2g/ZZ9lP2aPaT9s73Bvci9wr2s/Yj9W/0s/QO85LzR/Mu80fzh/PY9B70TPRp9IH0mPSs9Lv0yfTX9N703PTY9OH0/fUk9Uj1ZPV/9Z/1w/Xg9e318PX29gj2HfYm9h32FfYb9iH1/fWd9Sr08fUe9Yz17PYS9hD2FPYr9kH2R/ZL9l72dfZv9j/1/PXN9b/1uvWa9U704/R+9D/0KfQf8/nzrfNc8yjzAvKm8d3wvu+q7v/u0+7x7xjvKu8s7yDvAe7M7o3uUu4b7d7tmu1e7THtCuzZ7J3sY+w17BDr6uvB657riOt663Lrc+uB65jrruvC69jr9OwS7C7sSOxi7Hnsh+yH7H7sdOxu7G/sdex+7ITsgexy7FzsRewy7CPsGewU7BbsIew17FLsceyN7Kjsxezl7QPtHe047VntgO2l7cbt6u4b7lHug+6u7tvvEO9J73vvqO/Z8BbwWvCa8NnxHvFt8b3yCPJQ8pfy4PMo827ztfQB9E/0mvTk9TL1hfXa9i32f/bS9yb3fPfU+DD4kfjz+VT5sfoM+mX6vfsY+3b72/xD/Kf9AP1P/Zn95f4u/mn+lP63/uP/Hv9h/6H/2wATAEgAdwCeAMEA6QESATkBXAGAAa0B4QIVAkMCagKPArkC6QMdA08DewOiA8YD6wQSBDYEVQRzBJAErQTKBOcFCgU1BWkFoQXVBgAGIQY9BlsGfwapBtcHCQc8B3AHpAfUB/wIGwg0CE0IawiKCKYIvgjXCPIJDQkjCTYJTAllCXcJeglyCWkJZQlnCW0JdgmGCZoJrwnGCeMKCAowClUKewqpCtwLDws+C3ILsgv8DEYMhgy/DPcNLw1cDXENbA1TDS0M9wywDFsMCQvSC8gL7gw0DIMMxgz2DSENVg2WDdYODg5GDo8O5Q8pD0MPOQ8wD0QPcQ+ZD6sPrw+zD7kPsw+YD2cPJg7cDpAOSA4KDdMNnQ1nDTcNDQznDMEMnQx9DGAMRAwzDDgMVAxwDHcMYQw8DBsMAwvwC9sLvwuXC18LGQrUCp8KgQp0CmgKUAopChoKDwoWCiIKKgouCjYKRgpYCmkKiArICygLjgvgDB8MXQyjDOQNCQ0VDR4NNQ1XDXUNhA2EDXUNXw1MDUsNXQ1yDXENTA0NDMgMkQxtDFgMQwwfC+sLswuEC2ULTQs0CxQK8ArICpwKcApQCj8KOAotChsKCwoLCh0KPQpoCp8K2wsPCzILTAtiC2wLWQsjCt0Knwp0CkwKGQnZCZEJRgj7CLYIgwhkCE0IMggYCAkICggLB/EHsAdWBv4GwgakBpQGfQZYBisF/AXLBZoFbQVNBTkFJwURBPsE7ATlBOQE4gTiBOQE5wTtBP0FFgUsBS0FFwT7BO4E9gUGBREFEQUJBP4E9AT2BQ0FNwVjBXkFaAUyBOkEpARyBFcETQRKBEgESQRQBGEEeASNBJYEiQRkBDkEIAQqBEsEZgRnBFUEQAQxBB8EBgPqA9ADrANvAxwCxwJ/Aj0B9QGmAVkBDQC5AFn///+//5f/av8h/rb+O/27/Tr8tPwo+5j7CvqC+fz5cfjb+EL3svcu9qz2KPWu9U71DfTh9L70oPSC9Fv0K/P+897zyfOz85vzifN882jzSvMo8wfy3PKs8qvzH/QI9QT1oPXG9cv2B/Zz9sj21fay9ov2b/ZN9hv16fXG9bD1mfVx9S/01PRy9Cn0CfQI9Afz+PPi89LzxfOv84vzWfMV8rjySvHg8YHxHPCg8Bjvre9473Dvc+9q707vI+7q7qnube5G7jbuMu4z7jruTu5u7o3umO6J7mTuNu4K7eHttu2H7VjtMu0i7S/tV+2D7ZPtbO0K7IjsCOub60XrAurU6rrqruqh6o3qbOo+6f7psulk6R/o5+i36IzoZehD6CPoBefs59fnwOej53/nWOcy5wjm3Oay5pDmeeZt5nLmheag5rPmv+bO5uznFOc651nngOe45//oTein6Rnpm+oV6nHqtOr260TrkuvX7BbsXeyo7OXtCu0c7S3tSO1k7WvtQOzT7Dvrset064/r1OwC7AjsDOw07Hjsq+y47L/s9O1m7fPudO7d70DvpO/78DTwU/Bv8Jzw1PED8R3xKPE28VHxdvGX8arxufHc8iPyhPLj8ybzUvN686nz2fP+9BT0FvQB89TzpPOU87Lz7fQk9FD0fvS89QH1OvVo9Zv13fYi9l32j/bI9xT3b/fO+Cb4bvim+NX5C/lS+aT58Pow+nP6y/s++8D8N/yQ/Mn89f0x/Yr99f5f/sL/Lf+tADUAsAEbAYQB9wJsAtQDLAN+A8sECQQ3BGYEpQTyBUAFiwXaBjEGiQbWBxoHWweZB9AICAhSCLQJIgmGCdkKHQpVCn8KmgqzCtgLDQtDC2ELTgsGCqMKVwpBClgKcQppCj4KBAnWCcsJ+QppCwgLqAwkDHYMug0HDWENvA4IDkAOZA58Do0OmQ6WDn8OWg41DiEOJw5MDpMO6w86D2gPcw9wD3gPmg/TEBEQRRBnEIUQqhDSEPERAhEXET4RaxGHEZARjxFwEP4QKw9ODu0PJw99D0UOZw2JDWUOFA78D3EPSw7fDpAOgw6aDqcOhw42DdANhA11DZQNsg2oDXUNKQzPDGIL6gt8Cy8K/wrdCr4KowqNCnQKUgorCgcJ4wmxCW8JLQj8CNoIsghzCCEHzAeDB0YHDAbNBokGQQX7BbwFiwVlBUQFIwUBBOUE0AS6BJ0EdgRKBB4D8QO/A4sDXAM4AxwDBALtAtoCywK8AqYCiAJmAkACFwHoAbUBggFSASkBCgDvANQAtQCVAHcAWgA9ACIAEAAH//v/3v+y/4j/a/9a/0j/Lv8R/vf+5P7Y/tD+xv6y/pP+dP5e/lP+Sf49/jX+Nf43/jL+Jf4a/hf+GP4Z/hn+Gv4a/hb+D/4M/g/+E/4W/h3+Lf5B/k7+U/5a/mj+c/50/nD+df6H/pn+pf6w/sX+4f7z/vb++P8D/xb/Jv8v/zL/NP81/zj/Qf9P/2H/hf/PAEkA5AF5AeUCEgHvAY0BKgEhAZkCTALHAtgCyQL9A3YDxwOOAuECPAIFAjkCkALLAt8C5QLwAvgC4AKMAgEBbgERAQYBMQFeAXEBeAGGAZkBnAGNAXsBdAF1AW4BXgFQAUkBRgFAATUBKwEiARcBDAEFAQEA9gDhAMcAsgCgAIoAbwBVAEIAMAAV/+//xv+h/37/V/8s/wH+1v6r/n7+VP4r/gH90/2m/X39Vv0t/QD81fyw/I/8bvxN/Cz8CPvj+7/7nvuA+2L7RPsq+xL69frS+q/6kPp1+lf6NvoX+gD57PnV+bj5mvl9+V35OvkX+Pn43Pi8+Jn4evhf+EP4Hffw98X3ofeC92T3R/cq9wr25fa79o72XvYr9ff1yPWh9Xz1VPUp9P300vSr9Ib0YvQ79BLz5PO284nzX/M38xHy7fLJ8qPye/JQ8iTx+fHO8abxgvFf8TrxEfDn8MLwoPB88FfwMfAR7/Xv2u+9757vf+9k703vOu8l7wru6u7K7q/ul+5+7mXuT+5A7jbuLe4k7hruDO367ebt1u3N7cztze3O7c7tyu3D7b7twe3K7dHt0+3W7eLt9+4K7hbuHO4m7jXuRu5X7mjuf+6Y7rDuxu7f7vvvF+8t70LvYu+M76zvr++i77LwB/CX8SLxa/Fs8VjxafGv8gvyUfJp8lryPPIq8jjyafKz8wfzWvOl8+X0HvRX9J309vVe9dD2SvbF9zT3g/em96X3nfeo9833/vgi+Cv4HvgK+AL4Dfgt+GL4pfjk+Qr5FPkR+RL5Evj9+Mf4gPg++Af3yfd39xj2xfaS9oT2lfa/9vb3Jfcz9w72sfYg9W30tfQS85fzSvMp8zLzXfOY887z9/QY9Dz0Z/ST9Ln01/Tp9O706/Tt9QD1JfVO9W/1hvWX9aT1rfWx9bL1tfXA9df19vYS9iT2LfY49kD2LPXk9Xz1MPU59Y/1+PY39kj2TvZi9nf2e/Z19nr2jvaV9nf2PfYI9er10/Wh9UX01vR+9Fj0YfR39HT0QvPh82Hyz/Ir8XnwyfAx77vvZO8o7w/vHO8+70zvK+7j7pbuXe4w7fntte117UTtGuzo7Krsb+xA7Bjr7uvB65vrg+t2627rbut464vroeu2683r6ewH7CDsM+xE7FXsYuxo7GbsXuxV7E/sT+xW7FzsXOxR7D7sKOwT7APr++v56/3sB+wX7DHsUux07JLsr+zO7O3tCu0o7Ujtau2K7aftyu387jbubu6d7sru/u83723vne/O8AbwQvB/8L7xBvFV8aPx6/Iv8nfywfMJ80vzjvPX9CT0dPTF9Rf1a/W99gz2W/au9wX3Xfe0+Av4Z/jI+Sr5ifnl+jz6lPrx+1j7xPwr/Ib80/0a/WL9qf3m/hX+PP5o/qD+4v8l/2P/nP/TAAcAMwBYAHsAogDLAPQBGgFCAW8BoQHUAgICKQJNAnQCogLVAwgDNANZA3sDnQPBA+QEBwQoBEgEZwSEBKIExwT0BSgFXgWSBb4F4wYEBiQGRwZvBpwGzgcFBzsHbwefB8cH5gf+CBkIOQhbCHgIjwiiCLYIygjcCPEJDAkoCTgJNwktCSUJJQkqCTEJQQlaCXkJlwmzCdMJ9woeCkIKaQqVCscK+AsnC1oLmAvfDCoMcgy4DP0NOw1lDXENYA08DQ0M0wyMDEAMBAvvDAgMQwyGDLwM3wz2DRINPQ15DbkN+w5EDp8O/Q8/D1APPw84D1IPgg+pD7gPuA+1D60Pkg9jDyoO8A6yDmsOIA3aDZoNXg0jDPAMyQyoDIkMagxPDDoMKgwiDCsMRgxiDGYMSAwUC+MLwAutC58LjwtzC0QLBgrGCpkKhAp9CnMKWgo3CkMKRwpXCmMKZQpgCmEKbQqBCpgKvgsCC2cL2Aw4DIEMvQz6DTINVw1lDWsNeQ2RDaoNvQ3HDcMNsQ2bDZINpQ3IDd0NxA18DR4MzAyVDHUMWgw4DAwL2QunC3sLVws6Cx0K+QrOCp4KcQpOCjgKLAofCg0J+wnzCf8KIApRCokKvgroCwgLIws8C0cLNAsDCsIKiApbCjIJ/gm8CXAJGgjCCHUIQwgqCBwICAfuB9sH2AfWB70HgAcrBtYGmwaABncGagZNBiAF6QWxBX4FVQU7BSwFHgUMBPUE4QTYBNoE5wT1BP8FAAT+BQUFGQUqBSoFFgT9BPAE9wUIBRcFHgUYBQUE7QTeBOYFAwUpBUYFTAUzBPsEsQRsBEIEMwQtBCAEBwP1A/sEGQQ9BFEESAQmA/8D7AP5BB0EPQRFBDcEIgQPA/0D6gPZA8gDqgNvAx0CxwKAAkMCAgG5AW8BJQDTAHYAHP/X/6X/bv8f/rf+P/3C/T78tfwp+5/7FPqJ+fj5X/jA+CX3lvcU9pT2E/Wa9Tj08fS99Jf0f/Rt9FP0KvP789XzufOe84XzcvNi80zzLvMS8vry1fKn8q/zOfRE9Vv1+fYB9c31wfXu9h32JfYR9fj12PWk9Wf1PfU09Tv1N/UY9Nr0g/Qm8+TzyvPL88XzrPON83XzX/M78wfyyPJ78hnxqPE88OHwjfAv783vgO9b71LvTu9D7zDvEe7c7pfuVe4t7iDuH+4g7inuRu5v7o3uje5q7i/t8O277ZTtc+1P7SjtDO0O7TPtZu2B7WjtFeyi7C7ryet26zHq/erd6s7qyOq/6rDqlOpl6h3pxuly6S3o9+jH6Jzod+hY6DvoH+gJ5/3n8+fh58Pnn+d751XnKucC5uPm0ObI5srm1+br5v7nD+cn503nd+eU56Pnuefr6Dfoj+jw6V3p0uo16nPqluq76vLrMOtt67DsBOxe7KTsy+ze7PTtFO027U3tSO0Y7MPsauw+7FPshuyk7JfsfOx07IPsluyo7MvtFu2C7fzueO7573zv7PAu8ETwSfBd8Ibwt/Dg8PnxC/Ef8UHxbvGa8brx1PH98kbypfL68zLzV/OB87Xz5vQG9BP0EvP9883zl/N985Hzw/Py9Bj0SPSR9OX1K/Vd9Y71zfYR9k72g/bB9w73Yfev9/r4SPic+PD5QfmQ+d36Jvpp+rP7D/t++/P8W/yq/OH9FP1X/bb+J/6U/vr/Zv/lAG8A7gFeAcoCPAKrAwgDWAOnA/YEOARjBIoExQUXBW0FugYDBlEGpAbxBzgHege2B+kIGQhWCK0JEwl0CcMKAQoyClgKeQqiCtgLEws1CyIK0gpaCegJqwmxCdwJ/An3CdwJygnZChIKeAsIC6kMNgyVDM8NAQ0+DX8NtQ3ZDfMOEw5ADnYOoA6rDo8OWg4mDgcOBw4tDncO1Q8sD2IPdw9+D44PsQ/nECMQVhB6EJoQwRDrEQkRGBEtEVoRixGkEaYRrRGyEXUQyA/sD2oPeA+jD0IOPw1IDSQN5g7nD20PSg7VDnMOSQ5FDkQOKw3tDZwNZQ1iDYANjg11DUsNMA0bDOMMdAvmC2kLFgrnCssKuQqpCpYKeQpUCiwKAAnOCZkJawlICSUI8gitCF0IDgfGB4IHQAb9BrkGcQYpBegFtQWRBXkFYgVIBSgFCATsBNIEsgSIBFMEGwPjA60DfgNaA0UDOwMyAyUDEQL5At4CwAKgAnoCTwIhAfIBwAGKAVUBKAEJAPAA0gCuAI0AcwBhAFAAQAAyAB3//f/T/7D/nv+W/4f/av9I/y7/Hf8Q/wL+8P7Z/rz+nv6H/nn+b/5m/mH+Yv5j/lz+TP4//jv+Pv49/jb+L/4q/ib+If4i/ij+K/4n/iL+J/45/kv+Vv5f/m3+ff6E/oT+i/6g/rr+zP7X/uf+/v8S/xr/HP8l/zX/Rv9P/1P/Wf9j/3H/gf+T/6X/uv/dABgAaQDAAQYBIgEMANwA2QE/AgICtQLvArgClgL+A9UEgQSDA+sDMwLAAqcCyQMRA3cD6QQ/BFMEEwN/AqoByQEnAPEBEgFGAV0BXQFnAYMBmgGYAYQBdwF6AYIBggF7AXMBbAFlAVwBVgFPAUQBNAEnASABGAEHAPAA2gDKALkApACPAH4AbwBXADQADf/q/8j/pP99/1T/Kf77/sv+nv5z/kX+Ef3b/an9fv1U/Sj8+/zQ/Kj8gvxg/D/8Hvv5+9T7s/uW+3z7X/tC+yb7CPrm+sP6o/qH+mj6Rfoi+gb58Pna+b/5o/mG+Wf5Rvkl+Qf46vjM+Kz4kfh4+Fr4MPgA99P3r/eS93X3Vfcy9w726Pa+9pH2YPYu9f/11fWv9Yj1XPUs9P/01fSu9Ij0YfQ59A7z4POx84PzVvMs8wfy5vLG8qLyevJR8iryAvHY8azxgvFe8T3xG/D18M/wqvCG8GHwPPAZ7/nv3O/A76Tvie9v71jvQ+8s7xHu8+7U7rnuoO6G7mzuVu5E7jbuK+4i7hjuCe307d7tze3G7cPtv+267bTtre2l7aPtqu267cjtze3P7drt8O4F7hHuFe4e7i3uPe5M7l/uee6U7qbusO7E7urvF+807z7vSu9q75TvrO+p76jv2PBF8MzxNPFj8Wnxb/GW8eDyNfJx8nvyWfIv8ibyS/KS8ubzOvOL89T0D/RC9H700vU59aX2DvZ79uz3VPea97T3s/e198739/gb+Cv4Kvgo+C/4Qfhb+IL4ufj2+Sr5TPlm+Yf5pfmk+Wr5A/iR+DP37Pes92T3F/bV9rP2vvbt9yX3SfdD9w32qfYd9Xb0x/Qo86rzVfMr8yvzSvN486XzyfPp9A/0P/R39K302fT29QX1DfUa9TH1UfVw9Yv1nvWm9Zz1gvVj9VL1VPVn9Yb1s/Xq9h/2Q/ZW9l72VfYm9c71cvVS9Y32APZl9pX2n/aj9qn2o/aQ9of2lfaq9qX2ffZI9h719fWx9Uj00/SA9Gj0hvS89N30wPRL84bypvHy8ZfxgvFu8Rfwcu+17zTvFe8972PvVO8P7rvud+5B7gjtx+2K7VntL+z+7MTsiuxX7Cfr9+vH66Lri+t+63brcet164Lrluuu68nr5uwB7BXsI+wv7DvsR+xT7FjsVOxJ7DzsNew17DjsNewr7BvsCuv36+Xr2uva6+Pr8OwA7BfsNuxa7H3sm+y37NXs9e0W7TftV+107ZDtsO3a7g/uRe547qru4O8a71Pvie+77+/wJfBf8J/w6PE18X/xwPIA8kXyj/LW8xjzWvOh8/D0RvSe9Pb1SvWZ9eT2MvaI9uT3PveU9+n4Qvif+P75XPm2+g76Z/rI+zT7pfwO/Gb8r/zz/Tf9dP2h/cP96P4d/mH+qP7p/yX/Xf+T/8L/6QAOADQAXACDAKsA1gEFATYBZwGVAcAB6AIPAjYCYAKNArsC5gMMAy8DUgNzA5UDtwPbA/8EIQRCBGQEjAS5BOwFHwVQBXwFpAXJBe4GFQY+Bm0GoQbXBwwHPwdsB5QHsgfJB+IIAggkCEQIXghzCIQIkgifCLEIygjgCOoI5QjeCN0I5QjuCPsJEAkxCVcJewmaCbsJ3goECikKUQp+Cq0K3AsJCzwLeAu8DAQMTgybDOgNLA1aDWkNWw03DQMMwQxzDCsMAgwMDEQMjAzGDOcM9Q0ADRMNNg1qDa0N/g5eDsUPIA9VD10PTw9ND2UPhg+aD50PmQ+WD4gPZg8zDv4OzA6VDlIOBw2/DX4NPgz+DMUMmQx4DFoMPQwnDBsMFQwVDB0MMQxFDEQMIQvnC60LhAtwC2gLYgtRCy0K+ArBCpwKjwqNCoQKbQpSCngKiAqeCqwKrQqmCqMKqgq6CtAK9Qs4C5wMEAx3DMEM9Q0kDVQNew2TDaINsw3IDd0N7A31DfYN6A3ODbwNxw3vDhUODw3ODWsNDgzNDKMMfwxZDC4L/gvHC44LXgs9CyMLAwrZCqgKeQpSCjUKIQoSCgIJ7wniCekKCgo+CnYKpgrLCukLBAsaCx8LCgrYCpkKXQotCgIJ1AmaCVMJAAioCFwIKggRCAAH5wfIB64HoAeVB3kHRAb5BqwGcQZRBkcGPwYrBgYF1wWoBX0FWQU9BSoFGgUMBPwE7QTmBO0FAgUbBSkFIwUQBQQFCAUUBRcFDAT7BPEE8QT5BQUFDQUJBPUE1wTABL8E0gTxBRMFLwU0BRIEywR3BDkEHgQRA/oD1AO2A7oD3AQFBBsEGwQMA/4D9gP4BAMEDgQRBAgD+APoA9gDygO+A7ADlANfAxMCxQKDAkkCCgHBAXYBKQDVAHkAHv/U/5b/Uv77/pf+Lv2+/UL8uvww+6r7IfqO+e/5SPij+Af3efb09nX1+/WN9S/04PSg9HL0WfRL9Db0EvPp88XzpfOD82PzTvNC8zPzHfMM8wHy5/LF8tvzevSa9bv2SfYl9bL1ZPVa9Wr1cPVr9V31NvTs9Jr0avRo9Hv0g/Ry9En0DPPK85bzffNu81DzI/L58uDyyfKc8lbyCPG18VXw5/B58CHv3e+j72/vS+887zjvMO8h7w7u8e7A7n3uPe4W7gnuBu4H7hPuMe5X7m3uYe4y7fHtr+187V/tTO027RjtBO0S7UHtbu1q7SHsruw/6+zrsOt26zrrCOrr6uDq2urO6rzqnupt6iTpz+l/6T7pCejY6LDoleiF6HXoXehJ6EDoQeg66CToBefj58DnmOdv50/nPuc55zznR+da527ngOeV57Pn1efx6APoHOhL6JHo3uky6ZDp9+pN6n3qjeqY6rLq2+sP607rmOvb7AXsGOwq7EvscuyS7KnsvezI7MDsqOyX7J3srOyr7JLsc+xj7Gfseeyd7NntJ+1+7d/uV+7r73/v6vAY8CHwKvBH8HHwl/C18M3w5PEB8SzxZfGg8c/x8/Ii8mryvvMC8yvzTPN787fz6fQA9ALz+fPj87rzivNx84LzrPPW8/r0LPR69NL1G/VM9Xz1uvYC9kP2fPa59wT3Uved9+r4Q/iq+RP5cfnE+hH6W/qj+vH7Svut/BD8aPyz/PX9Ov2N/fH+Xv7H/yn/kwAPAJUBEgGAAesCWwLFAxsDZgO7BBkEaASWBLoE9AVKBaEF4wYbBmIGvQcZB2IHmgfIB/QIHwhSCJQI5Qk6CYoJ1wofCmEKmwrPCvgLCgr0Cq8KTAnpCaMJjAmcCbUJuwmtCacJygogCpoLJgu2DDsMpwz3DTgNdw2xDdANxw2jDYMNhg22DgUOUQ57DngOWA4xDhUODw4mDl8OsA8CDz8PZw+FD6QPyg/5EDAQZRCQELgQ5REQESoRMRFBEWwRoBG7EcAR1BH6EesRZRCVD/8P5g/jD1UOJQ0FDMQNfg6NDzkPSw8IDsAOjA5iDjUN+Q2sDV4NMQ00DUYNNAz6DMwM2A0FDQoMswwaC4ELGwrmCswKuwqvCqQKlAp4Ck8KIAn0CdQJvAmbCWAJCwivCGEIIgfqB7AHcwc0BvUGsgZtBi0F9wXPBbYFpgWQBWsFPQUXBQAE7wTQBJwEWwQcA+MDsgOMA3IDZQNfA1kDTQM4AxwC+wLZArMChgJWAiUB8QG2AXYBPQEYAQIA7QDOAK8AmQCMAH4AZwBOADYAHP/+/+P/0//K/7j/l/9z/1r/TP9B/zD/Gv8E/uv+0f66/qv+ov6a/pP+jv6K/oH+df5t/m7+cf5q/ln+SP5A/kD+Q/5H/k7+UP5H/jn+M/4//lP+Y/5u/nv+jP6Z/p7+pv66/tf+7v76/wT/Fv8s/z7/Tf9c/23/ef96/3n/fv+M/53/rv+//9D/3//s//8AHwBLAG0AbgBLADAAYQEFAeECeAJzAgUBzgJCAzcEEARUBAQDdQLxApUCfgLTA5YEfwUkBUgE7wQ5A0QCOQFdAPIA+gE1AV0BYgFmAX4BmwGiAZABfgF7AYIBhgGCAXwBeAF0AXEBbwFtAWQBUwFDATkBMwEoARUBAgD0AOkA2wDLALsAqgCSAHMAUQAvAA7/7P/I/6X/gP9V/yT+8v7B/o3+U/4V/dv9qf16/Uz9Hvzy/Mf8nvx3/Ff8OPwW+/H7z/uy+5j7evtZ+zj7GPr4+tf6t/qa+nr6V/oz+hT5+fnh+cf5q/mN+W35Tfkt+Q/48fjT+Lb4nviG+Gf4PvgP9+X3xPeo94j3Yfc29wz24/a59oz2XfYu9gb14/XA9ZX1ZPUw9QD01fSs9IP0WvQw9AXz2/Ov84HzVPMp8wTy5vLK8qnygvJb8jfyE/Ho8bjxivFk8UjxLPEM8OXwvPCT8GvwRPAg8ADv4+/I76/vlu9+72bvTe807xju+u7d7sPuqe6P7nbuX+5L7jvuLu4i7hbuBe3v7dntyu3E7cDtue2v7aftoO2a7ZrtpO247cntzu3P7dft6u3+7gjuDO4W7ijuOe5H7lnuc+6O7p3uo+617uPvHu9G70/vTO9f74rvtO/E78Lv0vAP8Hfw6/FH8XnxifGX8cXyGPJv8pfyfvJG8iXyOvJ48sXzFvNq87z0APQ19G70vPUb9Xv11PYz9qT3HfeC97v3y/fN99j38fgO+CP4MfhC+Fv4d/iS+LT45vkn+Wb5l/m++er6G/o2+hT5rfke+Jn4QPgM99v3kfc49vX26/cV9073afdR9wj2m/YT9Xf00vQ387bzXfMv8yzzSPNz85/zxPPl9An0OPRy9K704/UI9SH1M/VF9Vb1ZvV39Yz1oPWi9YT1S/UT9Pj1AvUi9Uz1gPXE9g72RvZi9mz2bfZX9hD1p/Vd9XT16fZ39tX28fbr9t32yfas9pf2nva69sj2sPZ/9kv2FfXH9Vb03vSK9HT0mfTY9Qb07vRq84ryn/IT8hbycfKj8kjxYPBJ73TvGu8h70PvSO8f7tnuje5J7gvt0e2e7XDtRe0X7OLsq+x07EDsDuvi673ro+uR64TrfOt664Lrk+us68fr3+v07AXsFewj7C/sOexD7EnsRuw57CrsIOwf7CDsGewM6/7r8Ovg683rveu668fr2uvt7ALsH+xE7Grsi+yn7MPs4u0D7SPtQe1d7Xntlu247eLuEu5I7oDuuO7x7yjvXu+T78fv+/Az8HXwwPEN8VPxkPHM8g3yU/KZ8tzzIPNr8730FfRv9Mj1G/Vn9bH2AfZb9rv3F/dt98P4HPh2+M75JvmB+d/6Pvqf+wb7cfvX/C78ePy+/QL9O/1g/X39pP3h/in+bv6p/uH/Gf9O/3j/m//B/+wAFgA5AFwAiAC+APYBJgFQAXkBpAHOAfYCHQJEAmwCkwK7AuIDCAMrA00DbwOTA7kD3wQGBC0EWASFBLQE5AURBTwFZAWMBbYF4gYQBkMGegayBuYHFQdAB2QHgAeVB6sHxgfnCAgIJgg/CFMIYAhpCHYIhwiWCJkIlQiUCJwIqwi8CM8I6wkQCTgJXQl+CaAJwwnlCgkKMQpfCo4KuwrpCxsLVAuUC9gMIQxtDLkM+g0pDT4NPQ0nDPwMvQxvDCwMEww0DH4Mywz7DQwNEA0ZDSwNTA1/DcoOLg6eDwQPSg9nD2QPWw9fD3APew92D2cPWw9UD0gPLQ8FDtoOrA51DjMN7g2uDXQNNwz1DLcMhAxeDD4MIwwODAML/wv/DAMMCwwSDAkL5wuyC3wLVAs+CzULLwshCwQK2wqzCpwKmQqcCpcKhwp4Cq8KyQrkCvgLAAsBCwELBAsMCxsLOgt2C9UMRAylDOYNDw00DWINkw25DdMN6A39DgwOFQ4aDhsOEg36Dd8N2Q30DhkOHw3xDZ8NTw0TDOYMugyLDFsMKAvqC6ULaQtDCykLCgrfCq4KfwpUCi8KFAoDCfcJ5wnaCd4J/QouCmIKjQqwCs4K5wr1Cu4KzwqZClgKHAntCckJpgl6CT4I8wihCFkIJggHB+0HywejB3wHXQdDByMG9wa+BoAGSgYlBhMGCQX8BecFzwW3BZwFegVTBS4FFgUOBQ8FEQURBRUFJQU7BUgFPQUhBQYE/QUBBQYFAgT5BPAE6gTnBOoE7ATlBM0ErQSWBJMEpATCBOoFFQUwBSEE4gSJBD0EEQP3A9YDrAOQA5MDrAPDA9ED4QQABCQEMwQgA/kD1QPAA7kDtwO1A7ADqAOfA5IDdwNIAwgCxQKKAlECDwHCAXEBHwDFAGMAA/+x/2j/F/66/l7+Df25/VH8z/xC+7b7JvqH+dj5J/h/9+X3VvbQ9lP15PWE9Sz02fSN9Fb0N/Qi9AXz3fO4857zhPNh8z7zK/Mo8yPzGPMU8xjzEPL/8ybz1PT69g72evYj9Xv0//TT9M/0yvTB9LH0hfQ2893zovOR85Pzk/OM837zZfNA8xjy9PLL8pDyUfIl8hLx/PHC8WXxAfCm8E7v8O+Z71vvPe8v7yPvGu8X7xnvFe8I7vDuzu6e7mPuLO4E7e3t4e3g7fLuFO407jzuIu3v7bHtee1S7UDtO+0v7RftBe0S7T3tWe017M3sTevv68LrquuE60vrFOry6uPq2OrG6q3qi+pa6hjpzemH6UzpGOjp6MfovOi/6L/oseic6JLolOiT6IPoaOhM6C/oDefl58PnsOer56/nuefM5+Tn+egK6B/oOuhZ6HjonejO6QjpQel66bzqCOpL6nPqf+qB6orqo+rK6vvrKOs96zfrK+s361vrfuuO65PrqOvX7BLsRuxt7Ibsjex97GLsS+xC7ErsaOyh7OztNe117cLuOu7W72Xvu+/b7+zwDfA58F7wePCQ8Kzwy/Du8R3xXfGf8dPx+fIp8nDyvvL58xzzO/Nt86vz2vPn893zy/O085Tzc/Nm83zzqfPX8//0MfR49Mf1CPU39WX1o/Xu9jP2bvaq9vP3Sfej9//4YvjM+TL5j/nm+jn6ivrY+yX7ePvN/CD8b/y//RX9cv3U/jf+l/7y/0//uQA0ALQBJgGMAfYCaQLWAy4DfQPdBEoEowTTBPQFMQWKBdgGAwYsBoEHAwd7B7YHvAe7B9YIDwhTCJYI2wkmCXoJ2Ao7CpYK2gr/Cv4K2AqWCkwKEAntCdsJzwm/CagJkwmQCbYKFAqfCzwL0AxLDKsM+A0/DY8N5Q4rDj4OEQ25DWUNPg1VDZsN8A4zDlYOYQ5fDlcOTQ5ODmcOlw7TDw4PRw9/D7EP2hACEDIQaxChENIRBBEzEU0RURFYEXwRrxHREd8SABI5EkkR5REnEIkQUBAnD3IOGgzHDEkM0Q3YDrMPGw8uDxwO9g69DnYOIw3FDW8NQg1HDVINLAzXDJUMogziDPoMrQwWC4MLKgsGCvEK1Qq2CqIKlwqGCmYKPQodChEKCQnkCZAJHgi0CGwIQQgaB+oHsgd3BzsG/wbEBooGUQYfBfwF5wXRBaoFdgVJBTQFKgUUBOMEoQReBCQD9QPMA6gDjAN9A30DgwN8A18DMwMJAucCwQKQAlkCIAHlAaQBYwE0ARwBDgD6AOMA0gDFALEAjwBsAFQARQA0AB0ACP/3/+L/w/+h/4j/e/9v/13/Sv83/yX/D/76/uz+5P7c/s/+wf62/q/+qP6k/qf+qv6h/or+dP5r/m/+dP50/nP+cf5r/l3+VP5a/m3+fv6I/pL+of6y/r3+xP7U/u7/CP8Y/yL/MP9G/2D/ef+R/6b/r/+q/6P/pf+w/73/x//U/+b/9///AAQAFQA2AFEASAAd//8AMQDJAYQB8AHPAV0BIQFyAisC2QMrAyQC6gKRAi4CAwJmA2AEjQVfBZQFSQS2A+kC6AHkATMBBAE0AXABhwGFAYkBmgGkAZwBjgGGAYQBgAF7AXsBfgGAAXsBcwFuAWkBYAFVAU8BTAFHAToBKQEdARUBDAEAAPEA4gDQALoAnwCBAF8AOQAU//L/0P+o/3f/Qf8J/s/+kv5S/hT92/2m/XP9Rf0b/PH8xvyb/Hb8Vvw2/BL77vvP+7L7kftu+0r7KvsK+un6yfqp+or6avpI+if6C/nx+db5ufma+Xn5V/k2+Rb49/jY+L34pfiM+G34Rfgb9/b32Pe895n3bvc99w724/a49oz2XfYz9hD18fXP9aL1bfU49Qn03/S29Iz0YPQ19Azz5PO885HzZPM58xXy9/La8rjykfJq8kXyIPH08cXxl/Fz8VjxP/Eg8PrwzfCe8HDwSPAn8Azv8+/b78HvqO+N73LvVu857xzvAO7l7svuse6X7n7uaO5V7kXuNu4m7hTt/+3o7dPtx+3C7b7tte2p7aDtme2U7ZTtoO217cjtzu3N7dDt3u3t7fTt+O4E7hruMO5A7lHuau6E7pXun+627ujvJ+9S71vvVO9e74bvue/a7+Lv4u/58DrwpfEd8XzxqPGw8cTyBvJm8qryqfJ38krySvJz8rDy9PNB85Tz4PQf9F30qPT/9Vb1qvYI9n73Afd298L34/fr9/H4Avgc+Dj4Uvhs+Ij4pfjC+Ob5Gvlc+Z75zfns+gz6Pfpu+nX6Lvmn+Rb4tPiL+G/4LffA91f3Jvc492P3cvdK9vH2d/Xs9VX0vPQr87PzX/M18zLzTPN186Pz0PP59CT0VfSO9Mj0+fUa9S/1QPVO9Vj1XPVk9XP1gvV69VH1EPTb9NL09/Uw9V/1h/W49ff2MPZS9mL2cPZw9kD11vVp9VL1tPZY9uH3Hfce9wn27vbO9rP2svbL9t/20/an9nD2MvXe9Wv08fSc9Ib0qvTm9RD09vR5867y6/KQ8rrzHfM98snx2fDG7+jvYe8m7xjvGO8M7uTuo+5b7h7t7O2/7Y3tWO0k7PHsu+yE7FDsJOv/69zrvOuh64/rheuB64brleur68Hr0+vh6/HsBuwa7CjsMOw27DjsM+wl7BPsCewK7AzsBev06+Tr2OvN673rq+uk66/rxevb6/HsC+wv7FfseuyV7K/szuzw7Q7tKO1C7V/tfe2c7b/t6+4i7l3ule7G7vXvKe9g75fvzfAI8EzwmPDk8SnxZ/Gi8eDyIvJm8qry8/NB85Tz6fQ/9JP04vUs9Xb1x/Yk9oT24Pc495H37fhH+Jv48PlR+br6I/qB+tr7NfuP++P8Lvx3/MD8/f0o/Un9df2z/fj+M/5j/pX+zv8C/yv/TP90/6T/0f/yABEAOQBxAKsA3AEGAS8BWwGHAa8B1QH5Ah8CRAJrApUCvwLnAwwDMANVA3wDpAPQA/0EKwRXBIMErgTZBQMFLQVXBYMFswXmBh4GWAaRBsMG8AcXBzgHUAdjB3YHjgerB8oH6QgGCB4ILQg3CEEITQhWCFkIWQheCG0IgQiXCLEI0gj5CR8JQglkCYgJqgnHCeYKCwo5CmoKmArFCvYLLAtnC6YL7Qw3DH8MuQziDPoNAgz7DOAMrgxuDDoMNAxlDLcM/w0hDSINHg0oDUUNdA22DhIOgQ7uD0APaA9qD10PWQ9kD28Paw9UDzgPIQ8RDwEO7Q7SDq8OgA5GDgcNzA2aDWoNNQz3DLgMgAxUDDIMFwv/C+0L4gveC94L3gvXC8QLowt5C04LKwsRCwAK8wrkCs0KswqdCpcKoAqqCqoKowqiCuULBgsmCz8LUAtcC2QLaAtqC3ILigu/DBMMdAzFDPkNGQ0+DXcNtw3rDgoOHQ4rDjcOPA4/DkAOOw4mDgQN6g3rDgAOCQ3wDbsNgg1WDS0M/gzHDI8MUgwJC7sLeAtMCy4LDAreCq0KgApTCioKCgn4Ce8J5AnZCd0J+golClAKdAqWCrQKyQrLCrYKjApTChUJ3wm6CaQJjwltCTcI8QiiCFoIJAf9B90HtweGB1MHIgb3BtAGqAZ9Bk8GJAYBBekF2gXPBcwFzwXSBcYFoQVoBTEFEAUPBSMFOQVABTwFOgVBBUgFQQUpBQ8FAAT+BP8E/AT1BO0E5ATbBNQEzgS+BKEEfgRmBGMEdQSXBMQE9wUcBRoE6ASYBEoEEAPiA7UDigNzA3IDdgNvA2wDjwPjBEEEbQRJA+8DlwNnA2ADbwN/A4cDhgN/A3MDXAM1Av8CxQKPAlYCEAG+AWoBFAC0AEj/3v+C/zH+2/58/in97v22/WL84vxL+7H7Fvpu+bf4/fhT97r3Lfao9i/1yvV09SD0yvR69D/0HPP989Hzn/N782zzXvNC8yLzEvMR8w7zCPMO8yPzMPMz82n0HPU59jb2gvYM9Ur0u/R99GD0OvQN8+DzrfNo8yLy7fLQ8rzyrPKm8qfyoPKG8l3yKvHt8aLxW/Et8RXw8fCh8C3vue9e7xfu2e6u7qjux+7s7v3u9+7t7uzu8O7q7tHuqO547knuHO3y7c3ttO2y7crt8e4M7gjt4u2r7XPtRu0r7SPtI+0a7QHs6+zu7QjtEeze7HDr9+uq65LrjOty60DrC+rp6tjqyeq06pfqdOpH6g/p0OmS6VvpKej+6OPo3ujp6PHo5+jU6MjoyejL6L/opuiL6HPoWOg46BzoD+gO6BToH+gz6FDob+iI6Jzos+jP6PHpGulN6YPpsunV6fLqEuoy6krqWOpf6mjqeeqU6rbqyeq96pfqdepy6obqk+qH6nTqf+q+6yjroewN7FPsaOxa7EPsNuw37Efscuy67QrtRe1w7bPuLu7I70bvhu+j78nwAvAz8EzwXPB58KLwyPDq8RbxVfGV8cLx4fIO8lbyp/Lk8wnzK/Nb85PzuvPD87Xzn/OI83LzXvNc83jzrPPm9Bj0R/R/9MD0+/Uq9Vj1lPXe9ib2ZPag9uz3T/e++Cz4kvjw+Uj5oPn7+lj6r/r++0n7lvvl/DD8fPzV/T/9sf4c/nj+yP8X/3P/4gBeANYBPgGdAgoChQL5A1UDqgQTBIgE4QUMBS0FcwXTBhYGLQZWBtgHmggrCDMH0gd3B3kH1AhOCLkJDwldCbAKCApgCqsK1wraCrkKhApUCjsKPgpICjsKCgnGCZEJiQm3ChcKnAs1C8wMTgyyDPoNMg1vDb4OHw51DpwOfQ4mDcENew1qDYsNxQ4CDjYOYw6EDpQOjw6CDn8OkA6xDuEPIg9tD7AP3xADEDAQaxCpEN8REhFDEWURbhFzEY8RvhHlEfwSIxJjEoUSQBGeEQUQtxBxD6oOPQy2C98MCgznDeQOow8ODzIPIQ71Dr8Ofw4pDc0NlA2RDZoNdA0YDMUMtwzaDNsMhQv5C4YLXgtnC2cLQAr9CsAKmwqECmoKTgo7CjkKMwoJCbEJRAjuCL8IpgiFCE4ICwfGB4gHUQceBusGswZ4BkgGJgYIBd4FqQV8BWMFWAVEBRsE3wScBF4EMAQOA+4DyAOqA6UDtgO8A50DYwMxAxcC/wLSApICUwIfAegBqQFxAU8BQQE1ASUBFAECAOYAvACVAIAAewBxAFgAOQAiABD/+P/a/8D/sP+i/5L/gP9x/2L/Uv9B/zb/MP8m/xP+/v7y/u3+6P7i/t7+3f7W/sX+s/6r/q7+r/6l/pj+kv6Q/ov+gv6C/o7+nv6o/q7+uv7M/tv+4/7u/wT/IP82/0X/VP9o/4D/mf+x/8X/zf/J/8L/xf/P/9j/3f/o//4AEgAZABkAJwBLAHEAeABZADwAVgC3AS4BcQFcARcA8QEVAWgBswHhAf8CEQIAAcsBuAIkAx8EQwUOBVMFQgURBLID9QLtAfsBgAGEAbgB0AG9AaIBmQGhAacBpAGdAZYBjwGMAZEBmQGYAYoBdgFpAWcBaAFmAWIBXgFaAVIBRgE8ATYBMQEqASIBGgEQAQAA6wDQALAAiwBkAD8AGf/v/73/hf9I/wr+yv6L/k/+Ff3c/aT9cf1H/R788fzD/Jj8dfxT/DD8DPvp+8n7p/uD+2D7Pvse+vv61/q1+pX6d/pZ+jz6H/oF+er5zPms+Yr5aflI+Sb5BPjj+Mb4rfiS+HL4S/gl+AP35vfJ96X3ePdG9xb26vbA9pP2Z/Y+9hz1/vXa9az1efVI9Rz09fTP9KX0efRN9CLz+/PU86vzgPNX8zLzD/Lt8sfyn/J18kzyIfH28czxp/GH8WvxTvEs8QTw1fCj8HTwTvAz8B/wC+/y79Tvte+X73jvWu887yHvB+7t7tPuuO6e7oXucO5f7lDuQO4s7hTt++3i7c/txO2/7brtse2k7Zjtj+2J7YjtlO2q7b/tx+3F7cTtyu3T7djt3e3r7gPuHu4z7kfuXu537orum+647unvIO9G71DvTu9Z737vr+/X7+vv7+/28BrwbfDn8WTxtvHQ8dnyAfJT8qbyx/Ky8ozyfPKM8q/y3vMb82fztfP+9EX0kfTk9Tn1lPYB9oT3DveE99T3/PgL+BP4JPhD+Gr4kPis+MH41Pjs+RD5Qfl9+bf54Pn1+gf6K/ph+of6bPoE+Xv5FPjr+N34rPhA98H3a/dX92T3X/cp9sL2PPWq9Rf0jPQQ86rzY/NB80DzVvN8863z4/Qa9E/0hfS89Oz1DfUb9SH1J/Uw9Tj1PfVC9Un1SPUy9Qn04PTW9P71T/Wh9c/12PXb9fX2H/ZC9lb2ZvZz9ln2APWI9Uj1gPYW9rL3C/cf9xL2/Pbg9sb2v/bP9uH22faz9n32PvXr9X71DPS99Kv0zvUI9S/1G/S49BzziPNA80vzavNL8szyEPFN8J7wBO+C7yzvCu8F7vXuxe6F7k3uH+3u7a/tau0t7PjsweyI7FTsLewO6+7ryuuq65brjOuG64brj+ug67Trw+vP697r8+wI7BbsHuwk7CjsJewV7ADr8evv6/Hr6+va68frvOu266/ro+ub66Hrs+vJ6+Dr+uwc7ELsY+x87JXstuzb7PztFO0t7UrtbO2M7a3t1u4M7kbueu6j7szu/e8373TvsO/t8DHwevDE8QjxSPGH8cfyB/JH8ony1PMk83bzxfQS9F/0q/T19T/1jvXn9kP2nvb291T3tfgS+Gf4v/kn+Z76Efpv+rv7BvtW+6X77vw0/H38wfz4/SP9UP2J/cT99f4d/kn+f/60/t7/Af8q/1z/jP+v/83/9AAnAF4AjwC7AOcBEwE8AWEBhQGsAdUB/AIkAk0CegKlAs4C9QMcA0MDbgOdA88EAAQuBFgEggStBNkFBAUvBV0FjgXFBgAGOwZxBqAGygbvBw0HJAc2B0kHYQd8B5cHswfPB+kH+wgHCBIIHQgnCC4INAhACFIIaAiBCKAIxAjqCQwJLAlQCXUJlQmuCccJ6goVCkIKbwqdCs4LAQs1C20Lrwv5DD8MeAygDLoMyQzKDLcMkQxiDEUMVAyTDOYNJQ05DS0NIQ0xDWENrQ4KDnIO2Q8uD2APbA9eD08PTw9bD2IPWA8/DyAPAg7nDs0Otg6eDnwOSw4QDdcNpw1+DVUNJgzwDLMMdwxGDCYMEAv3C9wLxgu9C7wLtgujC4ULYwtBCyALAArjCssKuQqqCpsKjwqMCpYKqgq7CsEKwwrNCxgLPQtgC3sLkguoC7gLwQvEC8kL3AwJDE4MnAzbDQENHA1HDYwN2w4YDjYOPw5GDlEOXA5iDmEOVw4+DhUN7Q3aDd4N5g3dDb8NmQ14DVUNJwzvDK4MZQwTC8ELfgtRCy0LAwrTCqQKegpSCikKCQn4CfAJ5wngCecKAgomCkgKZgqFCqIKsQqqCo0KYQorCfUJywmzCagJmQl2CT4I9ginCFsIHAfwB80Hpgd0BzkG/QbHBpgGbgZGBh8F/QXiBcwFugWxBbkF0AXlBeAFtwV2BTkFFwUZBTQFUAVaBU4FPAUzBTQFMwUnBRYFCAUABPoE8QToBOAE1wTMBMIEtgSjBIQEXwRCBDgERgRoBJkEzgT1BPoE2gSgBF0EGwPZA5oDawNXA1EDQAMfAw4DOgOqBCkEaARAA9IDZAMnAyIDOgNUA2EDYANZA1EDQQMeAuoCsgJ9AkQB/gGrAVkBCACsADz/yP9n/xX+wf5k/hX94P2y/WD82fwz+4367/pH+Y74z/gg94j2/vZ/9gv1qvVV9QL0rPRe9Cf0AvPc86fzbvNL80HzPfMr8xLzBPL/8vTy6fLy8xTzM/NF83/0J/Ut9hb2XfX09UL0uPRs9C7z2/N58x7y0fKP8lzyPfIp8hTx//Hx8erx2fG18YLxSfEH8LvwcPA18Abvx+9l7u/uiO5B7hDt7u3p7hXuae687uLu2O697rHut+647qLuee5L7iLt/O3R7aXtiO2H7aHtxe3Y7crtne1j7S7tCez07O3s6uze7MPsp+yd7KPsnuxs7A7rqutp61LrSus26xPq8OrZ6szqvuqp6o3qa+pD6hXp4emr6XjpTOkn6Q7pA+kF6Qbo/ejr6ODo4ujq6OXo0ei06JnogOhq6FzoXehq6Hjoh+ic6MDo7ekU6S/pP+lN6WHpgemx6enqF+os6inqHeoW6h/qMOpC6k7qWOpr6oPqkeqD6l7qPOov6i7qIOoA6eXp8uo56rfrUuvi7D3sVOw/7CnsJ+w37FbsjOzZ7SLtSu1k7aPuIe627yPvWO9+77zwBPAv8DjwRfBu8Kbwz/Ds8RPxUPGK8a3xwvHq8jPyh/LK8vbzG/NH83fzmfOl853zjPN682nzXPNd83jzr/Px9Cv0WPSE9L30+vUy9WP1nPXj9i/2cfau9vv3Zvfi+Fn4uvkL+Vn5sPoQ+nD6x/sT+137qfv2/ED8jvzu/WT94v5R/qb+7v87/5sADgCHAPcBWgG8AjACrQMcA3QDzQRCBMAFFQU3BVsFsAYcBlkGZgahB10IXQjxCKQHvQb3BtcHVAgKCKkJIgmBCc4KDAo4ClQKXgpVCkYKQgpVCnoKmwqZCmIKAwmsCY0JvQopCrALOAu6DDMMngz1DTYNZw2UDdAOIw5+DsEOyg6YDkgOAA3ZDdQN4w39DiEOTg58DpsOow6dDpcOmw6rDs4PDg9iD7AP5hALEDYQchCxEOcRFxFJEXMRiRGTEaoR0hH3EhESNxJ0EqESexH7EWwRDBC1D/IOkAzsC7gLbQv9DP0N+g6rDvkO/Q7mDtQOuw5/DiYN3Q3GDckNrA1eDQsM5gzlDMgMawvwC6QLsAvwDBkL+gubCykKzgqWCnkKaApeClQKOQoBCbAJZQk8CTUJMQkOCMUIaQgUB9EHnwdzB0EHCAbPBp8GeAZMBhUF2AWnBYkFeQVuBVoFMATrBJoEYARKBEIEKAP7A90D4QPpA80DjwNYA0IDNQMKAsICfwJUAi4B+AG6AY4BfAFyAWEBSAEtAQwA5QDBALEAsACpAI0AaQBOAD4AKgAP//X/5P/Y/8r/uP+n/5j/iv9+/3f/c/9m/0//Of8w/zH/Lf8d/w3/B/8I/wT++P7w/u/+7P7f/sz+w/7E/sL+tv6q/qv+uP7D/sn+0v7h/vD++v8E/xf/M/9N/2D/cf+F/5r/rv/A/87/1f/S/87/1P/g/+r/8QAAABsANQA9ADcAPQBeAIkAoQCcAI8AmgDHAP8BJAEqASABHgEpATQBNAE4AVUBgwGhAaIBtQIgAusDzQRqBLME4gUiBUkFBwRGA1wCuAKBAoICbgIxAfEB0QHPAc8BwwGyAacBpAGlAacBqgGnAZoBiQF/AYABhAGAAXMBZgFeAVkBVQFSAVEBUQFSAVEBTwFHATYBHgEEAOoAzwCvAIoAYAA0AAL/yv+M/0r/B/7G/ov+Uv4X/dv9ov1w/UL9E/zi/LT8jvxs/Er8J/wD++H7v/uc+3r7V/s0+w/66PrD+qL6hfpq+k/6NPoY+fv53fm8+Zr5evla+Tj5E/ju+M34sfiU+HT4T/gq+An36/fN96n3fvdP9yH29/bP9qT2ePZP9ir2B/Xg9bT1hfVZ9TH1C/Tm9L70kvRj9Db0DvPn88DzmPNw80jzIPL38szyofJ18kjyG/Hy8dDxtfGa8XzxWfEx8Qbw1/Co8H3wW/BF8DTwH/AB793vue+Z73nvW+8/7ybvD+727tvuv+6l7ozueO5n7ljuRu4v7hXt+e3h7c3twO267bXtru2i7ZXtie2B7YDtiu2d7bDtue247bTtte267b7txe3U7ezuCe4j7jzuVO5q7nvuje6q7tTvAO8f7y/vPO9T73nvou/G79/v7+/58A7wRfCr8TDxovHg8fDyAvI38oTyw/LZ8s/yvvK48r/y2PMG80nzlvPk9DH0f/TO9SH1hfYD9pb3Jfea9+n4Fvgs+Df4Rvhm+Jf4yvju+P/5Cvkb+Tn5YfmP+cD56/oG+hX6KvpU+oL6iPpE+cj5T/kN+Pf41/iF+BH3qvdx91v3QPcA9pP2B/Vy9Ob0a/QD86/zc/NX81fzbvOU88j0BvRI9IX0uvTn9QX1EPUJ9P/0/fUD9Q31F/Ud9Rv1C/Ty9OL08PUp9Yv1/fZZ9nv2Y/Y59iv2QfZd9mT2X/Zc9kz2D/Wp9Vr1Z/XW9mf2zfbz9vH24/bP9rr2rfaw9rf2rPaJ9lj2IvXg9Yz1M/T19Ob1B/U99Wf1YvUe9Kn0LfPU86XzfvM28sfyS/HT8VHwtfAP74vvRu8x7x3u8e617oDuUu4c7dXtie1I7RPs3Oyg7GnsP+we6/3r2uu866rrnuuS64frhOuP66Drseu/683r3evs6/fsAewM7BbsF+wJ6/Hr3evU69Przeu966nrm+uZ65rrmeuX65nrpOu3687r6ewK7C3sSuxi7HvsnuzH7OztCO0i7UHtZO2G7aXtyu377jLuY+6L7rTu5+8k72Pvoe/g8CTwa/Cx8PPxNPF28bjx9vIy8nHyufMI81jzo/Pr9DT0gPTM9Rb1YfWy9gf2Xva29xX3evfc+DX4j/j6+Xb57vpO+pr64/s0+4L7xPv+/D38gvzD/Pj9Jf1V/Yf9tP3a/gP+Nv5q/pb+uv7i/xH/Qf9q/47/t//mABYARAByAKIAzgDzARIBNQFfAY0BuQHiAgsCOAJlAo8CuALgAwoDOANrA6AD1AQEBC8EWwSJBLgE5gUSBUAFdAWuBeoGIwZUBn4GpQbIBucG/gcRBycHQQdbB3IHiAefB7cHywfaB+cH9QgDCBAIHQgvCEYIXgh5CJoIvwjiCQEJHglBCWQJggmaCbMJ0wn3ChwKQwpwCqUK2QsGCzQLbAuwC/cMMwxiDIUMmwyhDJMMdQxZDFUMewzEDRQNSQ1TDUMNPA1ZDaIOCg56Dt0PKA9XD2kPYw9RD0IPQQ9ID0kPPA8nDxAO+A7ZDrUOlA50Dk4OGg3hDasNfQ1UDS4NCAzcDKIMYQwtDBIMCAv2C9ULtQukC58Lkgt0C00LKQsMCvEK0gqzCpoKiAp8CnYKdwqCCpkKtgrOCt0K5wr5C0MLaguNC6oLxQvhC/sMDAwVDBwMLAxQDIUMvwzsDQcNHw1LDZEN4A4dDjkOQA5IDlwOdA6ADncOWw4wDf8N0w26DbkNwQ2/DagNhQ1hDT0NFAzhDKAMUwwAC7MLdwtKCx8K7Qq6Co8KbQpMCikKDwoDCf0J9wnzCf4KGAo2ClEKawqJCqIKqwqfCoQKYAo0CgcJ5QnUCcoJtQmJCUsJAAiwCF8IFwfgB7gHkQdgByMG5QasBnoGSwYdBfQF2AXHBbgFqAWgBa0FzgXpBeYFvwWHBVYFPAU4BUQFUwVYBU0FOQUqBSUFJQUhBRUFBwT4BOkE2QTMBMIEuQSwBKgEnwSRBHgEVQQxBBwEHQQ6BGoEnQTABMgEuASWBGYEJAPUA4YDUQM7Ay8DFALoAtAC9ANaA84ECwPxA5gDPAMKAwgDIgM5Az8DNwMuAyoDHQL3ArkCeAJDAhABzgGAATYA9ACnAEL/0v9y/yT+0/52/iH95P2q/Un8svv/+1X6uvoY+V74m/fn9072yvZT9eT1gvUq9Nf0h/RB9A7z6PO/84nzUvMw8yfzJfMa8wvzA/L98u/y3/Ln8wrzLPM/823z9vTY9bD2EPXg9Wj09/Si9Erz3fNg8uHyafID8b/xpPGh8Z/xkPF38VfxLfD48L/whfBD7/bvpO9a7xTux+5w7h3t3e2y7Y7tce1w7aXuC+507q7urO6M7nTucO5w7l/uPO4U7e7tx+2c7XXtYO1g7XDtgu2H7XXtSu0S7N3suOyi7Jbsi+x57GDsQ+wv7CXsFuvw66/raOsy6xLq/urs6tzq0urM6sXquOqj6obqY+o96hfp8OnG6Z3pd+lX6TzpKekf6RnpDuj86O3o7ej86Qfo/+jn6Mjor+if6J7orujK6OTo+ekS6TjpaemW6bLpu+m66bzpz+n46i7qV+pf6kPqG+oE6grqJeo+6kfqSOpS6mfqfOp/6nLqZepf6lXqPeoh6hnqOOqG6v7rjuwN7FDsSuwh7AfsEuw17GLsnezm7SHtO+1N7ZDuEe6g7v/vLu9h77LwAfAl8CfwOPBt8Kvw0/Dr8RPxUPGH8aLxsvHY8h/ycfK08ubzEfM982jziPOZ85vzk/OI83zzcfNv84Lzs/P09DD0XPSH9MH1B/VI9X31tPX79kz2lPbT9x73h/gE+Hf40vkd+Wz5xvon+oH60fsb+2b7tvwE/FH8o/0I/YL+AP5u/sX/Ev9p/9AAQACtAREBcwHdAlECwQMaA2gDzwRfBO0FQQVcBYIF5gZdBpkGpQb5B+UJBQl+CNcHfQZhBh8GmwdaCAUIjQj8CU4JewmKCY4JmAmyCeQKLgqACroKwQqOCjIJ1QmpCc0KOArDC0YLtAwWDHYM1A0pDWwNmQ22DdYOCw5ZDqUOyg69DpEOZw5ODkAOMw4oDikOPg5hDoIOmQ6nDrEOvA7JDuYPIA9yD8UP/xAlEE4QhxDEEPkRJxFYEYYRpRG2EcsR6xIJEh8SPRJyEqYSmxI7EbARNxDKEBkO4Q1IC9YLFws+DBUNKQ4LDoUOpg6mDqoOrA6LDkMN+g3UDcwNtw19DTgNDgz9DNkMhAwaC94L+gxWDKYMqQxQC8ELNArWCq0KpgqeCn0KPAnoCZoJagllCXoJhglmCRMIqAhKCA0H5we/B4YHSQcdBwYG7wa/BnMGIwXjBbsFqgWwBb8FswVqBPcEnQSJBKIEoARmBCAEAwQGA/gDxQOLA20DWgMuAuYCpAJ+AmECLwHvAb8BrAGiAYsBZgFBASEBBADsAOIA4gDaAMEAngB/AGgAUAAzABsAEAAMAAH/7f/V/8P/t/+v/6r/ov+R/3n/Zv9k/2z/av9X/0D/Ov9C/0b/O/8r/yP/If8a/w7/B/8H/wP+8P7X/sr+0P7b/uP+6P7x/v3/B/8R/yP/O/9R/2P/df+L/6T/uf/J/9f/3v/c/9n/3//t//sABgAZADkAWgBoAGQAYgB1AJUArwC+AMoA3ADyAQYBGQEuAUUBWQFiAV0BUQFMAVkBeAGWAa4B1gIsArEDOgOXA88EFgSSBR8FbQVMBN0EawQZA9EDcQMDArECjgJ+AlYCDwHMAa0BqwGrAaEBmAGcAagBswG2AbQBrAGbAYIBawFgAV8BYgFlAWgBawFwAXMBcwFqAVUBOQEfAQwA/ADnAMgAoAB1AEcAFf/b/5r/U/8N/sz+j/5R/hD90P2T/Vz9KPz2/Mn8ovyA/GD8P/wd+/r72fu4+5b7c/tN+yb6//rZ+rf6mfp++mT6R/on+gf55fnD+aH5gvlk+UH5Gfjv+Mn4qviM+Gv4SPgl+Ab36PfL96n3gfdX9y33B/bi9rn2jfZi9jn2EPXm9br1j/Vk9Tv1E/Tt9MX0mfRp9Dv0E/Pu88nzofN4807zIfLy8sPyl/Js8kHyFvHy8dfxwvGr8YzxZfE58Qvw3vCz8I3wb/BX8EHwJvAD79zvuO+Z73zvX+9F7y7vGO7+7uLuxu6t7pbugO5s7lnuRO4r7hDt9+3g7c3tvu207a/tqu2h7ZXti+2F7YXti+2X7aPtqO2o7aXtpe2p7a/tuO3I7d7t+e4W7jPuTu5i7m/ue+6Q7q/u0e7w7wzvK+9S73zvnu+4787v5e/78A/wMPB38OvxbvHO8ffyAfIZ8lXypPLk8wLzAfLt8tvy3/MC80HzjvPd9Cr0dPS99Qv1bvXv9ob3F/eN9+T4IvhJ+Fn4Yfh2+KX44fkS+S35PPlN+Wj5iPmr+db6B/ox+kb6Tvpi+or6qPqK+iD5kfkf+Ob4yfiX+D/32feH91P3Jvbj9nv19PVk9OL0dPQZ88zzlPN583zzmPPF9AD0RPSI9MH06/UG9Q71BfTy9OP03/Tk9O30+PUB9QD0+PT69SH1d/Xw9nH24Pck9y32/va/9pz2oPap9pP2YvY49h31+fW39XT1bPW39i72jva39rf2qfaY9oT2cfZl9lr2R/Yn9gL14fXD9Zz1a/VA9S/1QPVq9ZP1n/V39Rn0nfQl88fzgvNB8vTymfIx8bbxJfCP8BLvvu+J71bvF+7W7qDudO5A7f7tuO167UTtDezR7JjsaOw/7Brr+Ovf687rv+up65PrhOuD643rneus67vrx+vR69zr5+v06/3r/evx697ry+u/67rrteup65brhet+64LriuuO65HrmOum67zr1+v37BjsN+xR7Gvsjey17Nzs/e0a7TvtYO2B7Z/twe3u7iLuU+5+7qru4O8c71rvl+/X8B3wZPCp8OrxKvFr8anx4/Ib8lfynPLr8zvzhvPN9Bb0ZPSy9P31RPWN9d32MfaI9uT3R/eq+AX4XfjA+TP5pvoI+lv6rvsI+1v7lvu/++38Lvx4/Lj86f0V/UP9c/2f/cr9+P4o/lT+ef6e/sf+9P8h/03/e/+o/9L//AApAFoAhwCqAMgA6gEVAUQBcQGbAccB9wIlAlACeAKiAtEDBQM8A3QDqAPYBAYENARmBJkEywT6BSoFXwWbBdkGEAY9BmIGhgapBsgG4Ab1BwsHJgc/B1IHYwd1B4oHngewB8AH0gfkB/cIDAgmCEIIXgh8CJ0IwAjhCP0JGAk2CVQJbwmHCaMJxAniCfsKGApGCn8KtgrgCwMLLgtoC6gL5AwXDEIMYgxvDGoMXQxcDHoMuw0NDVINdQ12DW0NeA2vDhEOig75D0QPag91D3EPYg9MDzgPLw8tDyUPEw8BDvcO7Q7WDq4OgQ5VDiYN7w20DXsNSQ0dDPsM4gzCDIwMRQwNC/oL/gv3C9ULqwuOC30LZQs+CxIK8ArZCsEKpAqGCm0KXQpVClUKYAp2CpYKuwrcCvYLCgsiC2QLiguuC88L8AwTDDIMSgxYDGUMeAyWDL4M5Q0BDRMNJg1JDYENwg37DiEOOA5QDnEOkA6aDoEOSg4IDc0NpQ2TDZMNlw2QDXQNRg0UDOgMwgyYDGQMIgvcC5wLaAs4CwIKxwqTCm4KUwo5CiEKEgoRChQKEgoTCiAKOApQCmUKfQqZCq8KtAqoCpQKegpXCjAKDwn9CewJzAmYCVcJDwjBCGwIGgfWB6MHdQdBBwQGxgaOBl0GLQX9BdQFuwWwBakFnQWWBaMFxAXhBeIFxQWhBYcFdwVoBVkFTgVJBUMFOgUwBSoFJQUcBQ4E+gTiBMoEswSkBJkEkASJBIUEgwR+BG0ETgQqBAsEAQQSBDsEaQSIBI8EiAR2BFMEFgPCA28DNgMcAwsC7gLHAq8CwQL+A0YDcwNwA0cDFwL8AwADGAMqAykDGAMKAwUC9AK/Am4CHgHnAb0BhwFDAQUA1QCfAE//7/+W/0n+9P6O/iz94P2X/Sb8gvvK+yL6i/no+Sr4YPeo9w/2kfYg9bX1U/T69Kr0Y/Qn8/jzz/Ol83XzR/Mq8x3zF/MP8wnzDPMQ8wvzA/MM8yfzPPNA81bzsvRe9Rz1nPW+9Zv1V/UF9Kz0UPPr82ryw/IU8Y7xUfFP8VvxU/Ev8Pfwt/B38Djv9e+n71Du++6w7nHuO+4O7ertyu2k7XPtRe037V3ts+4Z7mPuee5n7kjuMO4g7g7t9u3Z7bXtiu1f7UPtOe027TDtJu0b7Qvs6uy37IHsVew57CXsEev86+Try+u166LrkOt361LrKOsA6t3qwOqt6qrqs+q86r3qsuqb6nfqS+og6f/p5OnI6aXpf+lc6UDpL+kr6S3pJ+kO6PDo4ejt6QbpE+kJ6PPo3+ja6OXpAuko6UzpaemE6aTpyenr6f3p/+n46fXqBOoo6lPqbOpg6jPqBOnz6gnqMOpK6kzqQ+pG6lrqc+qF6pDqnOqo6qjqmeqQ6qTq2+sv65Tr/+xS7GrsQ+wI6/DsB+w27GfsnezZ7QntH+087Y3uFe6a7ujvD+9G76Hv9fAc8CPwO/B18LHw0/Dq8RXxVPGI8aHxtPHd8h/yZ/Kj8tfzC/M/82vzi/Of86jzqPOj853zl/OV86LzyPQB9Dj0ZPSR9M71GPVb9ZH1yfYV9mz2uvb790X3qvge+In43vkr+X/53fo3+oj60vsf+3L7x/wa/Gv8xP0s/aH+F/6C/uH/Qf+pABYAfADWAS0BjAH4AmMCuAL3A0YDywSBBSUFdgWHBa0GGAaTBtAG6AdZCF8JegnECNkHRgYFBaMF7gZuBuIHUQfECCUIXwh8CJkIzQkgCZMKFAp7CqIKfwowCeYJygnvClEK0gtNC68L/wxQDKkNBA1UDZINug3NDdkN9A4qDmgOjw6UDogOhg6SDpkOjA5xDlkOVA5iDnwOmg62Ds8O4w71DxMPSg+YD+gQJRBMEHAQoRDbERQRRRF1EaERwRHWEeoSBBIcEioSPRJpEqESrxJqEd4RRBC2EA8PCg2dDBkLAwq5CzoMLQ0fDcgOHQ5ADlUOYg5ZDjQOBg3mDdgNxA2aDWQNPw0wDRgM2Ax1DCcMIQxmDMIM6wy4DDULmgsoCvoK+QruCrYKWwn9CbgJkQmBCYEJfwliCRsIuAhjCDkIKQgIB8UHfgdhB3EHgAdcBwUGoAZNBhYF/AYMBjkGTAYHBXQE8QTQBPoFDATJBF4EHwQjBDEEFgPZA6EDeANJAw0C1wKyAo8CWQIYAekB1wHNAbABgwFXAToBKAEbARUBEwENAPkA2gC4AJcAdQBWAEIAPQA9ADQAHAAB/+3/5P/e/9X/xv+z/5//lP+X/6L/ov+S/3//fP+G/4n/df9X/0X/Rf9J/0f/RP9G/0P/MP8R/vr+9v79/wP/BP8H/w3/FP8d/yv/PP9K/1X/Zf9//57/uP/N/+H/7//1//X/+wAMAB4ALAA+AFwAgACWAJsAmwCiALIAxADaAPoBHgE2AUIBTAFgAXkBigGTAZsBqQG2AbwBvQHFAdgB+wIsAmgCoALDAtkDBgNvBBMEyQVaBaoFtQV+BQcEbgPwA70DxAO2A1UCtQImAeQB3QHYAb8BqgG7AeYCBgIDAeQBvgGeAYUBdAFsAW0BcAFxAXEBcgF0AXYBeAF1AWgBUgE8ASsBHgELAPAAzQCpAIMAWAAk/+f/ov9Z/w7+x/6C/j399/2z/XP9O/0J/N78t/yU/HT8VPwy/BD77/vR+7D7jPtl+z77Gfr1+tH6sPqT+nX6VPow+gv55/nD+aH5gflh+T35E/jm+L34m/h7+Fv4OfgY9/r33/fF96f3g/dc9zb3FPby9sv2n/Zy9kX2GfXs9b/1lPVo9Tv1D/Tm9L/0lPRl9Dn0FPPy88zzovN080fzGPLm8rbyivJi8jvyGPH78eTx0PG58ZvxdfFJ8Rvw7vDF8KDwf/Bh8EPwIu/+79rvuu+e74PvaO9P7zjvIO8E7ufuzO637qLui+5y7lnuPu4i7gjt8u3h7dDtv+2x7antpO2d7ZXtj+2O7ZHtlO2W7Zftlu2W7ZjtnO2h7anttO3F7drt8u4M7inuRe5a7mbubu567pHuru7Q7vbvIO9P73vvm++v77/v2O/58BXwLfBX8KzxJfGa8eDx+PIF8jHyg/Lj8yvzQ/Mt8wTy7vME80DzjfPZ9CH0aPSt9PX1TfXB9kn2z/dE96v4CPhQ+HX4fPiB+KH42/kX+UD5Wvlz+ZL5s/nT+fn6K/pb+nT6c/p1+pb6zPrc+pb6A/lo+QH40/iw+G74C/em91j3Hfbc9n72A/V+9QX0n/RI8/zzwvOo86/z1PQL9E70k/TP9Pv1FPUb9RP0//Tq9N302fTa9OD07vUF9R/1P/V59eT2d/cP94T3xvfY98D3ifdL9yT3F/cG9tH2f/Y29gz18fXK9Zz1kPXB9hj2YfZ89nD2WPZD9i/2FvX89eT1zvW49ar1qvW29b/1s/WU9XT1afV89aL1v/W19W/08fRd8+DzmPN481LzAvKJ8gHxhPEZ8LbwUu/t74rvMu7q7rXuiu5f7int6+2r7WztMez57MXsk+xk7DnsF+wA6+/r3OvE663rmuuO64rrjuua66nrt+vD68/r2+vj6+Lr2uvP68Prueuw66rrpeud64/rfetw62/rd+uB64jrkOud67DryOvk7AXsKexK7Gjsheyn7Mrs7e0P7TPtWu197Z3twO3r7hzuTO547qfu3e8Y71Pvju/O8BbwYPCn8OnxJ/Fi8Zrxz/IG8kPyh/LU8yTzcPO59AL0T/Sd9Of1LvV29cX2GPZt9sT3IveC99v4LviD+OP5SPmn+f76Wfq7+xP7Tfts+477y/we/Gz8p/zU/QH9M/1l/ZP9vv3o/hP+Ov5g/of+sP7c/wz/PP9p/5H/t//gAA8APABiAIMApwDQAPsBJAFOAX8BtAHnAhQCPQJpAp4C2QMVA04DgQOwA94EDgRDBHsEsgTnBRoFUQWMBcgF/gYpBk4GcQaTBrIGyAbbBu8HBwceBy8HPgdOB2IHdweKB54HtAfLB+QH/wgeCD8IXgh9CJ0IvwjfCPoJEwksCUQJWwl0CZIJswnNCeAJ+AoiClwKlAq7CtgK+wsqC2ALkgvAC+kMDAwiDC0MOwxiDKsNCQ1gDZQNng2TDZQNvg4WDowPBA9dD4cPjQ+GD30PbA9PDzAPGw8QDwEO6Q7WDtQO2Q7MDqQObA41DgANxg2GDUYNDAzhDMgMvAymDHIMKQvvC+IL8AvvC8sLlwtrC0oLJQr5CtEKtgqlCpEKdwpcCkYKNQouCjQKRwplCokKsgrcCwILIwtCC3wLoAvGC+8MFww+DF0McgyDDJcMswzTDPINCA0VDR4NLA1FDWsNnQ3XDhQOTA56Dp4Osg6qDnsOLQ3bDZ0NfQ1zDXANaA1SDSkM7QytDHcMUQw1DBUL6gu3C4ULVQsdCtoKlgpiCkMKLgoZCgsKDQocCiwKMgo3CkQKVgplCnIKhwqjCrkKvAqxCqIKkApzCk0KKwoTCfoJ0wmcCV4JHAjQCHgIHgfPB5AHWAceBuAGoAZlBjIGBwXeBbsFpQWcBZgFkAWLBZgFtwXWBd0FzgW9BbUFrQWVBW8FSwU4BTYFOgU7BTYFKwUaBQQE6QTJBKcEjAR6BG8EZgReBFwEXwRcBE4ENQQWA/oD7AP0BBQEPQRZBGAEVwRHBCgD7wOfA1ADGQL8AugCzgKwApwCmgKoAsEC2gLtAvMC7ALmAvEDCgMeAxwDCAL2AuoCzgKIAiEBwgGHAWQBOgEDANMAsQCLAEv/+f+q/1r+9v5+/g79uv1u/Pz8Wfum+wL6avm/+Pb4J/du9tb2VvXm9X31HvTH9H30P/QN8+LzuPOP82bzQ/Mr8x3zFPMN8w3zF/Mk8y3zNPNC81XzW/NS81HzgPPq9Hj1BPVw9ab1nPVi9SD09vTN9GfzoPKj8crxVPE48T7xNPEJ8MjwhPBA7/Xvm+8z7s/ugO5L7i3uIu4i7hnt8e2m7VPtHO0V7Tztg+3X7iTuU+5W7jTuA+3Y7bztrO2a7XrtTu0l7RDtC+0A7OTswuyt7KHsiexY7Bzr6evH663rk+t461/rR+sx6x/rEesE6vPq3urG6qrqjOp46nXqg+qV6p7qmuqE6lvqI+nt6cnptumh6XvpS+kh6QzpDukk6TzpP+kf6Onowei86NXo7ej06O/o7uj76RnpRel36aTpx+nh6fjqC+oW6hbqEOoK6g3qH+o+6lzqYupD6gzp4ene6gPqM+pM6knqO+o86k/qaOp96pPqserP6t3q2urg6wfrT+ul6/vsRux07G/sOuv/6+7sDew/7GvsluzF7O/tEO1E7azuPO627vPvC+8775Pv6vAY8CvwTPCF8Lrw1/Dv8RrxVPGG8aPxv/Ht8inyYvKS8sXzAvNB83TzmPOu87zzw/PG88fzyfPL89nz+fQo9Ff0gPSr9OT1J/Vl9Zz12/Yu9or22vcd92n3y/g3+Jj46fk5+ZP58PpD+o362fsv+4z76PxA/Jn8+f1g/cz+Nv6d/wb/eP/wAGEAvgEKAVYBsgIZAnQCsgLoA0kD9gTJBW8FswW6BeEGTAbBBwIHNgfNCOIJ4An1COYHUwYcBaMFpAW+BdsGGQZ/BusHPQd9B8MIIQiZCSUJsQoUCi4KCwneCdoKEgp2CusLVwutC/EMMwyDDNwNLg1wDaENww3VDdwN6Q4KDjYOVA5cDmIOeg6iDsEOxA6xDpoOjA6NDp4Otw7SDuUO9A8HDysPZg+yEAAQPhBqEI0QtxDtESkRYRGREbkR1hHtEgISGBIpEjMSQBJmEqESxhKgEh8RbBC6EAkPJw3sDHwLQAqcCqwLPwwFDL0NSA2jDdYN9Q4IDhAODA4CDfgN6g3NDaQNgw14DW8NQgzkDHgMOwxKDI0MxQy2DFULzQtjCzsLOwsqCusKnQpqClQKMwntCZgJWQkwCP0ItQh2CGMIawhXCA0HugefB8gH9gfnB5UHKwbQBogGVgZSBn4GoAZrBdcFQgUMBTAFRgUBBIgEPARIBHYEdgQ3A+EDmgNqA0IDHgL5AssCjgJPAiQCEAIBAeEBsgGGAWkBWgFSAUwBRgE+AS4BFADyAM0AqACLAHoAcgBtAF4ARgAtABwAFgAPAAD/7P/a/9H/0f/X/9v/2P/M/8H/wP/E/7z/n/95/2T/Zf9u/3D/b/9y/3f/b/9Y/z7/MP8t/yv/KP8m/yf/Kf8s/zX/QP9H/0z/Wv90/5P/rv/F/9//+wAOABgAJAA6AFMAZQByAIcAowC8AMkA0ADYAOMA8AEJATEBXQF8AYkBkwGmAboBwgHFAdUB9gIUAhsCEAIKAhQCJgIxAjICMgIxAi4CMAJXAsUDgwRvBUUFwwXABU0EtwRlBIUE3QT0BHoDnwLgAo0CiwKKAmoCUwJsApsCpAJpAgoBugGRAYQBgAF9AXkBdAFvAWkBZQFhAWABZAFrAW4BaAFbAUoBOAEiAQcA6gDNAK0AhQBUABv/3P+V/0f+9/6p/mD+Gf3T/ZD9Vf0j/Pb8zfyo/Ib8ZfxD/CD8APvk+8b7o/t7+1T7MPsN+uj6w/qg+n76WPov+gj55PnC+aD5fvla+TP5B/jb+LP4kPhw+E74LPgL9+/31ve+96P3gvdd9zr3Gfb49tL2p/Z69k32HvXw9cL1l/Vq9Tr1C/Ti9Lz0k/Rm9D30G/P789Pzo/Nw8z/zEPLg8rLyh/Jg8j7yIvIM8fjx4vHH8anxhvFd8S/xAPDV8K3wh/Bh8D3wHO/9797vwu+o74/vdO9a70HvJu8I7uru0e697qruku537lruPO4f7gXt8+3m7dntx+217ajtn+2Y7ZLtj+2R7ZXtlu2T7Yzthu2G7Y3tl+2f7ajts+3E7dnt7+4F7h3uN+5M7lvuZe5w7oPuoO7F7u3vF+9C72zvju+k77Xvzu/08BrwNfBO8ILw3/FQ8azx3fH08hryavLa80bzf/Ny8zjzCPMK8z7zh/PL9Av0UPSY9OH1MfWR9f/2bfbW90T3v/gx+Hv4k/iU+Kj42/kZ+Ur5a/mK+a/51fn2+hj6RPpx+ov6h/p/+pv64fsb+wT6i/nm+WL5H/j4+Lr4Uffa93j3Mfbw9pr2KvWu9Tr01fR99DLz+/Pj8+/0GvRa9KL04/UR9Sv1M/Uu9R/1CfT09Ob03/Te9Or1DvVL9Zn19fZr9wT3rPg2+H74hfhj+DL3/vfM96L3f/dV9xf2zfaO9mX2RPYa9ev10/Xo9hn2QfZG9iz2C/Xz9eD1x/Wp9ZD1hPWG9ZX1svXb9f72A/Xi9a71ifWJ9az12/Xz9dH1Y/TB9Crz2fPQ887zlvMh8p7yNfHe8XLw4PA+77HvSu8D7s7uoe557k3uE+3L7YDtPu0K7N3srex67EvsKOwQ6/zr6OvY68vrv+uv65zrkeuT66Drruu668br0uvX69Hrw+u266/rq+ul65zrlOuO64breOtq62Traet164Lrj+uf67Hrxevc6/nsHuxE7GXsguyf7L7s4e0F7SvtU+167aDtx+3y7h7uSe5y7qHu2e8V71Dvi+/K8BDwWvCi8ObxJfFc8Y/xwvH88jzygvLK8xbzYvOs8/P0OvSD9Mz1FfVg9bH2BfZZ9qz3Bfdi97r4CPhS+KL4+/lU+af6APph+r77Afsm+0b7gPvU/Cv8bfyb/MT88v0l/VP9e/2h/cv99/4j/k7+d/6i/s/+/v8r/1T/ef+g/8n/9AAdAEQAbACUALoA3wEIATsBdQGuAd4CCgI7AnUCtwL3AzADYQOPA74D8QQpBGQEoQTcBRQFSwWBBbgF6gYWBjwGXwaABpwGsAbBBtMG5wb6BwsHGQcqBz8HVAdrB4MHnQe4B9UH9QgXCDgIVgh0CJMItAjUCO8JCAkgCTYJSQlgCXwJnAm1CcgJ3woFCjcKZQqICqQKxwrzCyALSAtrC40LrQvJC+QMEQxeDMsNQA2ZDbwNsQ2fDbAN+A5pDuQPRg97D4UPew94D3sPdA9XDy4PEA8ADuwOzw62DrMOug6tDoEORA4MDdkNoA1cDRUM2AyvDJwMlAyADE4MCQvVC8oL1wvSC6oLbgs1CwYK2QqtCo0KewpvCl4KSgo4CiYKFwoRChwKNgpWCnYKmwrKCv8LLwtYC48LswvbDAoMOAxfDHYMgwyQDKoM0Az4DRINGg0YDRoNJw08DVcNgQ3EDh4Odw6yDsUOtg6MDkoN+A2pDXYNYQ1bDU8NNQ0MDNYMkwxNDBIL7wveC9ILuwuXC2oLNgr2CqsKZAoyChYKBQn1CfAJ/wodCjUKQgpKClgKZgprCm4KfgqaCrIKtwqvCqQKlQp7ClYKMwoWCfcJzAmXCVsJFwjHCGwIEgfBB3sHPAcABsMGgAY9BgQF3AW/BaUFkQWGBYMFgQWBBY8FrQXPBd0F1wXNBcoFxQWsBXwFSwUsBScFMgU7BTkFKwUVBPwE3QS2BIwEagRWBEkEPQQzBDEEMQQsBBsEBQPyA+MD2gPfA/oEJARFBEwEPQQjA/0DxAN5AzEC/wLjAs4CtgKgAo0CewJoAl8CbAKOAq8CvwLFAtMC8AMKAwwC9wLhAs4CqgJcAe0BhgFFAR8A+gDQAK0AkABmACP/1f+M/zv+y/5B/cj9d/0y/Mn8MPuH+un6TPmW+Mf3+fdF9qz2JvWu9Ub06/SY9FD0F/Ps88fzofN681XzOPMj8xbzEPMP8xLzGfMj8zDzQfNW82fzafNf81nzZ/OR8+D0WPTq9Wb1l/WB9WL1bPV/9T/0dfNR8kHxlvFO8TXxGvDv8LvwgvA/7+Xvcu737o3uR+4j7h3uMe5N7kjuAO2B7Q7s4+0E7Ujtie3E7gDuNO5E7iPt4u2f7XPtXe1N7TDtBuzg7M/syuy57JPsaexR7EXsK+v167Prfeta60DrJesF6uPqw+qp6pzqm+qb6pXqi+p/6nDqWupC6jfqPepO6lzqYepU6izp7emt6YPpb+lZ6TDo++jW6NTo9Okl6U7pVuky6PHoteic6KPosui66MHo0ej16Srpaemo6d3qBeoh6jXqPuo66ivqG+oS6hXqJOo86k7qSOog6enpxOnK6fTqJOo86jjqLeox6kTqWupu6obqrOrV6uzq8Or56ybrduvR7CHsWux07GPsL+v86/HsEOw/7Gjsjuy77OrtHe1r7ejue+7q7xXvIO9F75Lv5PAU8DDwVvCO8MHw3vD18RvxT/GA8afxz/IB8jbyY/KJ8rny+PM883fzofO989Hz4fPu8/fz//QK9B70P/Rn9I30r/TV9QT1PPV09bD1+fZS9qz2+/dB95H38fhV+K74/vlT+bL6Dvpe+qf69/tW+7r8HPx6/Nr9Pf2g/gD+X/7E/zL/qwAmAJcA8gE8AYgB5QJIApgC0QMVA5QEWwUuBbsF6AXvBh4GhAbpBywHhghNCW4KRgorCRQHpQaTBg8F0wWfBX0FlQXnBkoGoAbvB0gHrgggCKAJIwmMCcIJ1QnyCjkKogsOC2kLtAv0DDAMcgy/DQ0NTg18DaANvw3VDd4N5w39Dh8OOQ5DDk4Oag6UDrkOzA7PDssOxg7IDtYO7A77DvkO8g78DyMPYw+tD/cQORBwEJsQxRD4ETQRcRGiEckR5xIAEhUSJRIyEjwSSxJuEqkS4RLdEnsRzhEKEEkPcQ5cDRYL6QseCskK0wsgC58MNgzBDSMNZA2ZDcoN6w35Df0N/w33Dd4Nww26DboNnQ1JDNQMdwxZDHIMkwyIDD4L0wt/C2ILXgtCCwoK6wsQC04LQgq7CfUJWgkTCPQIzginCKMIuAisCGEIBQfeB/0IKAgeB9kHgwczBuMGkAZbBl0GcwZWBekFbAUyBUMFTQUNBJ4EVwRpBKYEugSABBsDwgOPA3YDXQM3AwQCzgKdAncCWgI+AhwB8wHJAacBkgGIAYEBdQFlAVIBOgEeAP4A4gDLALgApgCTAIAAbQBaAE4ASABAAC4AFwAJAAsAFAAWABAABwAB//7/+P/s/9f/uf+f/5P/mP+f/57/m/+f/6n/rP+e/4b/cf9i/1b/Tf9J/0j/Rf9D/0X/Tf9S/1b/Yf93/5H/pv+4/9T/+AAXACwAQABeAH4AkwCcAKYAtwDKANoA6wD+ARIBJQE9AWEBhwGiAa8BvgHaAfYCBAIIAhYCMwJPAlgCUgJRAlsCYAJRAjICGQIPAggB9gHnAgQCdgM3BA0EpATDBHgEGwQWBI0FMwV+BSIEWgOwA3YDiwOaA4cDfgOaA7MDggL4AlIB2gGlAZYBjAF+AXEBaQFjAV4BWAFTAU8BUQFXAV8BYAFaAU0BPgErARcBAgDsAM8ApgByADn//v+9/3L/Hv7M/oD+Of30/bH9dP0//RD85Py7/Jf8dvxT/DD8EPv1+9n7tvuP+2f7Q/sf+vj60Pqo+oH6V/os+gT54fnC+aH5fflV+Sv5APjX+LP4kvhv+Ev4KPgI9+331Pe896L3gvde9zn3F/b19s/2pfZ59k32H/Xw9cP1mfVt9T/1EPTo9MT0nfRy9Er0KPQH89zzp/Nx8z7zEfLm8rzylPJu8k3yNPIh8g7x9fHV8bXxlPFs8T3xC/Dd8LLwh/Bd8DnwG/AB7+fvzO+z75rvf+9k70jvKe8I7ujuzu667qXuje5y7lfuPe4i7grt+u3x7ebt1e2/7aztn+2X7ZHtju2N7Y3tje2J7YPtfO197Ybtle2g7ajtsu3C7dft7O4A7hPuJe447knuWe5p7n7um+6/7ubvDO8w71Xve++Z77Hvy+/x8B7wQfBX8HXwsvEN8Wrxr/HZ8gLySvK98z7zl/Og82bzJfMW8z/zfvO48+/0MfR/9M71HfVy9c32IvZ09tj3Xfft+Fv4kfil+L/48vkw+WH5gvmh+cf57/oQ+i/6VfqB+p76nvqT+qL63/sm+zL63fpN+cr5f/lU+RT4pvgi97L3Yvcf9s32Y/Xr9Xb1DPSy9Gr0OvQn9Db0ZPSq9PT1LvVM9VT1TvVD9TT1H/UK9Pn08PT39R71cPXn9nD2//eU+C/4uvkV+Sv5CPjO+Jj4bfhG+Bf33/el93X3VvdA9yH26/ai9ln2KvYf9i32O/Y29h32AfXu9eT11vXA9a71rvXA9d32AfYr9k32TvYl9ef1uPWw9dD2BvY39jz18fVY9LH0S/Q89E70NPPc827zCvKg8gfxQPB47+DvgO857vbuuO6H7l3uKu3m7ZrtWO0k7Pbsw+yM7FzsOOwe7Afr8+vp6+nr5uvX673rqOug66Prqeuv67brwevL683rxOu366zrpOub64/rg+t763brcOtn62DrY+tv63/rkuul67rrz+vk6/zsGuw97F7sfeyb7Lvs3u0C7SftT+147aHty+307hzuQO5n7pfu0e8R71DvjO/L8AzwT/CU8NnxG/FV8YnxvvH78j/yg/LG8wzzVvOg8+X0JfRm9Kv09fVC9ZT16PY89o/25vdB95r36Pgw+H741Pkp+Xf5xvoi+oP61fsL+zL7Zfuu+/38PPxl/If8rvzb/Qf9Lf1S/Xz9rP3f/hH+P/5p/pP+vv7r/xf/QP9n/4//t//hAAoANQBfAIgArgDYAQsBRQF/AbMB5AIaAlkCngLfAxkDSwN7A60D4wQdBFsEmgTYBRMFSAV5BagF1gYBBigGSwZqBoMGlwaoBrgGyQbZBugG9gcIBxwHMwdNB2gHhQelB8YH6QgLCCsIRwhhCIAIoQjBCN0I9wkPCScJOwlOCWYJgQmaCbAJyAnnCgwKLQpICmUKiwq2Ct4K/wseCz0LXAt9C6cL6gxPDM4NSQ2gDb4NtA2tDdIOKw6fDwQPPg9KDzwPMw9CD18PbQ9cDzcPFw8CDukOxQ6kDpUOjA5yDj8OBg3bDbcNhQ0+DPMMtgyPDHgMZwxMDB0L5Au5C6wLrQueC3ELMgr0Cr4KjQpmCk4KQgo3CikKHwoZChIKCgoKCh0KOgpUCmgKgwqzCvMLMwtnC54LxAvuDB4MTwxyDIEMhAyMDKYM0Qz8DRUNFQ0KDQcNEg0mDTwNYQ2rDhcOgA61DqcOaw4iDdsNmg1jDUINOg04DScNAAzJDIoMRgwBC8gLqQuiC6ILlQt0C0MLCgrICn4KOgoMCfMJ5AnYCdkJ7goMCiIKLQo6ClEKZApnCmMKbAqFCp0KpwqnCqQKmwqCClwKNQoTCe8JwwmPCVEJBAinCEYH8AelB18HHAbfBqYGZwYhBeMFuwWlBZEFewVtBWwFcwV7BYsFqwXOBeIF4AXTBcsFwwWqBX0FSQUmBR0FKAU0BTIFIQUJBPEE0wSoBHcETgQ1BCUEFQQHBAIEAAP3A+QD0gPLA8sDywPUA/QEKARTBFsEQQQXA+cDrANkAx8C7QLQArsCpQKRAn4CYwJBAigCLgJTAn0ClgKgAq8CzQLnAugC0QK1Ap4CegI1AdQBdgExAQAA1QCxAJYAdwA7/+P/jP9G/vr+iv3+/YT9N/z3/JP7/vta+r76Hflj+Jb30/cq9pL2BPWE9Rz0xfR19Czz8fPJ86vzivNl8z/zH/MJ8v7y//MG8w3zEPMS8xjzKvNC81bzXfNd817zXvNa82rzt/RI9OT1QfVP9VD1fvW69aH09fPj8tLyCPGI8TTw+fDR8LTwj/BO7+vvb+7z7o3uQ+4U7gXuIe5S7l3uD+187P7s5O0n7X7tsO3E7drt/O4N7fTttO1q7S7tCOzr7MvspOyE7Hfsc+xj7EDsGuwA6+3ryuuP603rGer66uPqy+qs6oHqUeot6iPqMOpA6kLqO+o36jPqJuoM6fTp6unt6ffqAOn86d/ppeli6TLpG+kI6Ojoxei76NjpDelD6WTpZulF6Q7o2Oi06KPomeiS6JToqujX6RfpYemn6eHqDOov6kzqXupc6knqMOod6hXqGeok6izqIen+6dDptenA6ejqE+op6ijqIuoo6j3qVOpn6n7qperQ6uzq8ur+6y3rg+vj7DLsYuxw7FnsJuv16+Xr/ewq7Fjshuy97PvtQ+2k7ifusO8O7y7vNe9V75nv3PAF8CDwSfCF8L7w4fD48RnxSfGB8bTx5fIY8krydvKe8srzAvNA83rzp/PH8+Hz+/QS9CP0L/RA9Fz0gvSo9Mj04/UC9Sr1XPWV9dn2KfaA9tX3Ifdt98L4IPh9+NP5KPmE+ej6RvqX+uH7MvuQ+/X8Wvy9/SD9gf3d/jb+kv71/2D/0ABBAKsBCgFfAbYCGAJ8As8DFQNwBAYEzQWDBewGDAYkBmQGvQcFB0EHvQisCc0KfQpCCT0IBwclBqcGUgYDBdMF4QYhBm0GsQb3B0gHnwf7CGcI5wllCckKGApuCtULOQuGC78L+Qw8DIAMvwz7DTQNYg2EDaANvQ3TDd0N4g30DhMOMg5EDlEOZQ6CDp8Oug7SDuYO8g79DxQPMA87DyYPBg79Dx0PWQ+cD90QIhBmEKIQ1BEGET8ReRGsEdcR/RIaEiwSNBI+EkwSXxJ8EqwS5BL7EsUSPhGOENEP/g8ADegM7QwxC6QLKgrSCssLJAuwDDUMnwz8DVMNlQ29DdcN8g4DDf4N7w3rDfEN3g2aDTkM5Qy5DKwMogx8DDML3AueC4YLeQtOCxgLIguUDB0MLQt/CmoJiwksCSAJGwkJCQYJDwj6CK8IUQgbCBkIHggDB8sHlAdfBxMGqAZCBgwGBAX4BcQFfQVUBVIFSwUSBLcEeAR7BKkEwgSbBEQD7wO6A6ADhQNbAysDBgLrAs0CpQJ8AlsCPQIXAewBywG8AbQBpAGJAW0BVQE+ASYBEgEAAOoAzQCyAKIAmACMAIAAdwBwAGEASQA4ADkARABEADgAMAA0ADcAJwAG/+T/0//T/97/6P/r/+X/3//f/+T/4//U/77/qP+U/4H/c/9u/2//bP9n/2b/bP9x/3H/df+E/5n/q/+7/9T/+AAaADMASgBpAIoAnwClAKkAtADGANoA9AEVATcBUgFoAYABmgGuAbsBzwHzAh0CPAJMAlkCagJ6AoQCiAKQApsCmwKHAmYCSwJCAkMCOgIgAgwCIQJyAucDSANoA0oDLQNdA/IEqQUQBOsEbwQOBAMELwRQBFgEbQSXBKAESQOXAtgCUAIDAc4BnAF3AWoBbgFxAWsBYAFVAU0BRwFCAT4BNwEwASwBKQElAR0BEAD/AOYAvwCLAFIAF//Y/5L/Qv7v/qD+WP4T/dD9kf1Z/Sf8+fzP/Kr8iPxm/EP8I/wH++r7x/uf+3j7VPsw+wj63fqy+oj6XPov+gX54/nE+aT5fvlT+Sf4//jc+Lz4m/h0+E34K/gO9/T32vfA96T3hfdg9zv3Fvby9sr2oPZ29kr2HPXt9cH1mfVy9Ub1GvTz9ND0qvSB9Fn0NPQN89/zqvN080TzG/L08tDyrPKH8mXySvI38iLyBfHh8b3xmfFw8T/xDPDe8LPwifBg8D3wIvAK7/Dv1u+876Xvi+9u707vK+8G7uPuxe6s7pXufO5l7k/uOu4k7g/uAO347e3t3O3F7bDtoe2a7ZXtkO2I7YHtfe197Xzteu187YXtk+2g7ajtsO297dLt6O387g3uG+4o7jfuS+5h7njuk+607tzvA+8l70jvbu+T77Lvzu/z8CDwSvBp8IPwqvDo8TTxevGv8d3yHfKE8wXzcPOS82zzM/Mi80bzffOt89z0GfRm9LT1BPVa9bL1/fY89o33CPed+B34bPib+Mz5DvlS+YX5p/nE+eb6Cfop+kj6b/qb+rz6wfqz+q/6z/sC+xH61fpi+fX5tfmR+Vb46vhm9/P3ofdd9w32pvYv9bb1RvTp9KT0fPRv9ID0sPT49UT1d/WI9X/1bPVc9U31QPU19S71MvVS9Z/2IPbD92/4EPig+Rv5cfmV+Yf5W/ko+P343vi/+JH4UfgW9/n3/Pf+99f3fvcS9rf2gvZv9nX2hfaQ9oz2gfZ69n72f/Z09mL2WPZc9mf2dfaH9pT2ivZe9iL19/Xx9gj2MvZi9n/2X/Xu9VX04vS49LX0lPQ+887zXPLX8irxZvC78Env+++n70Hu3e6T7mHuM+397cDthu1Q7Rns3uyk7HbsVew67CHsDOwB7AHsAev169/ryeu767Prruup66nrseu/68zrzevB663rm+uQ64frfOtx62zrautn62TrZutw64HrlOuq68Lr3ev17AvsIOw57FbsdeyW7Lrs3+0D7SbtTO107Z3txu3t7hLuNu5e7pDuze8N70zviO/G8ATwQfCA8MLxBvFF8X3xtfH08jnye/K68vzzRvOS89b0EvRN9I301vUi9XH1wvYV9mn2wfcc93T3xfgT+Gf4wPkW+WL5rPoC+mX6xPsK+zn7ZPuZ+9T8Bvwp/Ef8afyT/L384/0J/TP9ZP2Z/c/+AP4r/lL+ev6m/tT/Av8t/1j/gf+q/9P//wAvAF8AjgC9AO8BJwFfAZYBzAIIAkoCjwLRAwoDPwN0A6sD5QQhBF4EmwTXBREFRAVyBZwFxQXvBhUGNwZTBmsGgAaTBqEGrga5BsQG0gbiBvYHDwcqB0kHaQeLB7AH1gf7CBoINQhPCG0IjgivCMsI5Aj+CRgJLglCCVYJbAmDCZoJsAnICeAJ9woOCisKTgpzCpMKsArPCvELEws5C28Lwww2DLcNLQ2BDaoNtw3LDgEOWQ6zDu0O+Q7lDtAO1A75DywPUg9WDz8PIg8JDusOwg6XDnYOVg4pDfANww2sDZkNbQ0lDNkMnwx4DFoMOgwXC+0LwAucC4ULdQtZCykK7gqzCn0KTgorChkKDgoDCfoJ+An+CgMKCAoWCjIKUQpiCmgKegqnCu0LNQtxC6oL1gwADCwMWAx3DIIMgQyFDJsMwQzpDQANAgz3DPAM9Q0BDRANLg1yDdwOPg5gDi8N0Q15DUANHQ0EDPcM+Az+DPMMzQyRDEwMBgvDC40LcQtvC3cLbgtJCxMK2QqdCl4KIQn0CdsJzQnHCcoJ2gnrCfEJ9AoICjEKVgpkCmAKYgpyCocKmAqnCrQKsgqWCmgKOQoRCesJwAmOCUwI8QiFCB0HygeGBz8G8waxBn0GSAYKBc8FpwWQBXsFYwVVBVkFZwV2BYkFqQXNBeMF4gXTBcUFuAWfBXUFRwUnBSAFKgUyBSkFEQT3BOEExgSaBGMEMgQUBAED7wPfA9cD1APKA7gDrAOuA7UDvAPOA/4ERAR7BIAEVwQdA+UDqQNiAxoC4gK9AqMCjAJ5AmkCUAIrAgwCCgIpAlECbAJ6AosCpQK4ArIClQJ0AloCPAIMAcoBhAFEAQYAzQCjAIgAYwAW/6v/R/7//rv+VP3Q/V39EfzM/F/7xPsc+nz52Pkd+Fj3pfcM9nv16/Vp9QH0rfRd9BHz1POt85PzdfNQ8yjzBPLp8t3y3vLr8vnzAfMC8wTzE/Mr80HzTPNS81rzVvM78yPzQ/O29E30uPTf9Pn1PfWR9Z31LfRf83vyqPHr8Uvw4PCz8Kfwj/BP7+zveu8K7qTuRu347dft/O5S7o3uZu3p7XLtU+2H7b/txe2l7Y7tle2g7ZLtZO0k7OXssOyD7FnsNOwc7BXsFewJ6+vryOus65DrZ+st6vLqw+qi6ozqeuph6jbp++nJ6bzp0unt6fbp8Ont6e/p5+nM6avpkumE6YDpg+mG6XbpSOkL6Nzox+jC6L3ov+jb6Q/pQ+lh6WPpVek+6SHpAOje6L3oneiE6Hzoi+iw6OjpK+ls6aLpz+n86i3qVOph6lHqM+oW6gTp++n66frp7unU6bfprenA6ebqC+oc6hvqGeok6j3qWOpr6n7qm+rC6t/q7Or+6zHri+vu7D3saOxx7FfsI+vu69fr6OwT7EXsfezB7RLtb+3b7lTuw+8K7yTvNO9d753v1O/w8AXwMPB08Ljw5fD/8R3xTvGM8cjx/PIv8mryp/Le8wrzMfNc84rzsvPO8+f0BPQk9D70UPRl9If0svTZ9Pb1DfUp9VD1gvXA9gn2WPao9vb3RPeZ9/X4Uvit+Qf5ZfnJ+jD6kPrj+yv7dfvK/Cv8lPz8/V/9u/4S/mv+yf8s/47/7QBMALABFQF2AdkCQQKrAwoDYQPOBGkFHAWtBf0GJQZbBq4G9gcYB0UHzwjJCdIKVgoPCTgITweqB0QG9gaxBo4GngbSBwsHQAd8B8QIEghoCNEJUAnVCkcKpgsAC1oLogvTC/8MPQyMDNMNBQ0sDVENcw2ODaMNuA3KDdMN2A3oDgcOKw5GDlkOaw6ADpgOtQ7ZDvkPDw8kD0YPcQ+GD3APQQ8mDzgPaA+eD9cQGhBoELEQ7BEfEVIRhhG4EeoSGBI7EkkSShJREmQSdxKFEp0SxRLnEtgSiBIJEW4QsA/GDtIOCg13DN4MDQsiCn4KXwqvCysLrQwzDLcNJg10Da4N4Q4FDg8ODg4WDiIOEw3dDZYNXw07DRgM5wynDFwMEwveC8MLpwtuCy8LOgu0DEoMZAu8CqoJzQl3CXwJjAmJCXwJZgkwCNkIgQhKCCwICgfYB6wHkQdzBy8GvwZKBfsF2gXNBbkFnwWLBYAFawU6BPMEtASZBKAEqwSaBGUEIwPxA9ADrwOCA1cDPgMwAxcC6QK8AqACjAJqAjcCDQH8AfQB4AG7AZcBfgFqAVUBPwErAREA8QDYANAAzgDCAK0AoACfAJgAgQBnAF4AZQBoAGIAYgBuAHAAUwAg//z//wAcADYAPQA1ACsAJQAiABoACv/z/+D/0v/D/7H/ov+f/6X/p/+j/6L/p/+o/6D/l/+b/63/wf/U/+wACgAnAD0AUgBsAIcAlQCXAJsAqgDDAN8BAwEvAVoBeQGLAZwBsAHEAdYB6wIMAjQCWQJ1AokCmQKlArACugLEAssCygLAArACngKSApACkQKJAnQCXwJdAnQCkwKkAqMCqQLbA0YDxgQYBBoD6gPKA9oEBgQpBEkEfwTCBNYEjgP9A2QC6wKFAh4BxQGdAasByQHLAacBdAFMATUBKgEiARgBDQEGAQYBCwEPAQwBAQDwANsAvwCYAGUAK//t/6r/Yf8R/sL+dv4w/ez9rP1x/T39Dvzk/L78m/x5/Ff8NvwX+/X70Puo+4T7ZPtD+xz68frE+pf6afo7+hH57PnK+af5gPlV+Sr5Bfjm+Mn4pfh7+FD4LvgU9/z34ffE96j3iPdj9z33F/by9sn2n/Z09kn2G/Xs9cD1mfVz9Ur1IPT69Nf0s/SL9GL0OfQN89vzqPN4807zJ/MD8uLywvKg8nzyXvJG8i/yD/Ho8b/xmPFt8TzxCfDd8LbwkPBr8ErwLvAU7/jv3e/G77DvmO9571XvLu8G7t/uve6g7ojucu5d7kruNu4g7g3t/u307ejt1+3C7a7toe2b7Zntk+2H7XjtcO1x7Xfte+1+7YXtkO2b7aPtqu227cjt3e307gnuGe4j7i7uQO5Z7nLuiu6p7tLu/+8m70fvae+O77Hv0+/38CLwUPB68J3wv/Dn8RjxUfGI8bvx9PJF8rHzFfNH8z7zI/Ml807zgvOu89j0D/RR9JT03/U69Zz16vYj9mb20vdc99v4NPh3+MH5F/ln+aD5yPnp+gn6J/pD+mX6jvq4+tT62PrI+rv6wvrW+tT6nvpA+er5u/mj+XP5EfiU+Cb31/eV90X23fZn9e71fPUe9N70vfS39Mz0//VI9ZD1u/W/9an1jvV79XT1evWO9az11fYV9n33Dfex+FD43PlQ+ab50vnU+bz5nPl9+V/5Rvkv+Q343fis+JL4jfh0+CT3qPcz9vD24Pbv9xD3P/ds94b3h/eE9473mveT93P3SPci9wT27fbf9tf2wfaT9lz2NvYu9jn2S/Zp9or2jfZT9er1hPVB9Qj0rPQj84zy//J48e/xePEq8PvwvvBR78DvMu7D7nHuL+317cLtj+1Z7R7s5Oyx7Irsa+xS7DvsJ+wZ7BHsDOwF6/rr6+vc68zrwOu467TrtOu768bryuu/66XrjuuD64Lrf+t262/rbutx63Hrc+t864zrneuw68fr5ewC7BjsKuw97FXsceyR7LXs2uz/7STtSu1z7ZrtwO3m7gzuNO5g7pTuze8I70Hveu+47/fwMvBq8KXw5fEm8WHxm/HY8hzyX/Kf8uLzLfN688Hz/fQ39Hf0vvUI9VP1oPXw9kT2nfb290z3nvfw+Ef4ovj4+UT5jvnj+kX6pvr2+y37Vft8+6P7yPvn/Af8LfxY/IL8qfzO/Pj9KP1b/Y79vv3p/hD+Nv5f/oz+vP7t/x3/S/92/5//zP/+ADYAbgCkANoBEgFLAYUBwgIEAkgCjQLNAwgDPwN3A7ED7gQsBGgEoQTYBQ8FQQVuBZcFvQXkBggGKAZCBloGcQaDBpAGlwadBqUGsAa/BtIG6QcGByYHRwdrB5MHvAfiCAQIIQg8CFsIfQifCLwI1wjwCQoJIwk5CU4JYgl2CYkJmgmqCbsJzQnjCf4KHAo2CkwKYgqACqAKwArnCycLiwwLDJANAg1XDZINvg3rDigObQ6gDqwOlg54Dm0Ogw61DvIPIg84DzMPHg8EDuQOuQ6KDlwOKQ3vDbYNlA2KDXwNTw0FDLwMiQxnDEMMGwvzC84LpwuAC1sLOQsSCuUKsQp9CksKIAoBCfAJ5QnbCdQJ1wnhCe8KAgoiCkwKbQp6CnoKiAqzCvQLOgt4C7YL6QwRDDMMUwxqDHUMdgx7DIwMqgzJDOEM6AzjDNkM1AzUDNgM7A0kDXsNyQ3VDZANJQzQDKsMpAyiDJ8MpAyyDLUMmwxkDBwL0guMC1MLMwsyCz0LOQsYCuQKrwp9CkgKEAnjCccJuwm3CbkJvwm+CbIJrQnJCgQKQApfCmIKYQpoCngKjwqwCs8K0wqwCnYKPwoWCe8JxAmQCUsI6AhvCAAHrgdrByAGyQZ9BkkGHwXvBbwFlgV7BWIFSwVBBUoFXAVsBYEFogXHBd0F3AXPBcIFsQWUBWsFRQUwBS8FNgU0BR8E/wTjBM4EtQSJBE8EGgP4A+YD1QPFA7oDswOoA5sDlAOZA6EDqgPGBAgEYQShBKEEawQmA+sDsANrAyAC3wKvAocCaAJWAk4CQAIhAf0B7QH/AiECPwJSAmUCewKJAn4CXwI7Ah4CBQHlAb0BkQFdARsA0QCWAG8ARP/3/4r/If7T/oz+Kv2w/UT89Pyi/Cb7gfrT+i75g/jI+Az3aPbd9lj1z/VR9Oz0l/RF8/jzvfOX83zzX/M78xXy8vLW8sTywPLJ8try6vLz8vvzCfMg8zTzPfNA80LzO/Md8vnzAPNR88v0K/RZ9IL00PUv9Vz1L/S69BzzV/Js8Yjw6fCn8Jfwe/A4797vfe8X7qbuMe3W7cHuCe6N7vbu+e6a7ijt7O3k7dftn+1Q7RntC+0R7Qzs8OzD7I7sWOwl6/fr0+u/677rweu5653rd+tU6zPrC+ra6qbqdupN6i/qH+oQ6e3psel46WXpeumZ6aTpnemW6ZTpielu6U3pMOkb6Q3pC+kR6Q/o8ujD6J3okuif6LXo2OkJ6T7pWulS6TXpHOkQ6Qjo9ejW6K7oiehw6Gfob+iF6Kro2ukP6T/pa+mh6eHqHOo46i/qEOnx6dvpzOnD6bvpr+mf6ZbpoenB6ejqA+oM6gnqC+oe6j/qYOpy6nvqieql6sPq2+r36zDrh+vn7DPsYOxt7FjsJ+vx69jr6OwQ7D/sdOy97R7tju4A7mjuuO7p7wTvJe9e76Pv1e/q7/zwKfBz8L/w9fEU8THxX/Gb8dXyCPJB8ozy5PMv81zzcfOG86XzxfPb8+z0BvQq9Ez0ZfR99KH0zvT49Rf1MPVN9XP1pvXm9i/2e/bD9w73Y/fC+CL4fvjc+T75pfoL+m/6z/sl+237rvv5/Fn8xv0y/ZL96P4//pz+/f9d/7YACABeAL8BKQGTAfsCZgLXA0IDpwQZBKcFPgW1Bf4GPAaSBvAHJAcrB0sH0AixCYMJ2QmbCQsIgAgiB+UHsAeAB2cHcwefB9cIEAhMCJEI4wlBCa4KIgqOCuQLJwtlC6ML2wwKDD8MhgzVDRQNOQ1RDWwNhw2ZDaINqw24DcQN0A3jDgIOJQ5EDl4OeA6SDqwOyQ7rDwsPIg84D18PlA+3D60Pgg9gD2YPjg/BD/kQPBCKENQREBFAEWwRmBHGEfoSLxJWEmISYRJpEnwSiRKFEoQSnRLEEtISrxJjEfoRZBCYD70PEg6aDgsNGQvbCr8KIwoLCkkKugtWDAoMsA0xDY8N1w4IDh8OLw5GDlcORw4VDeANvg2jDXUNNAzxDLQMegxFDBwL8guwC2YLTwuOC+kL7gtsCqUKDgnaCeQJ9AnyCdsJpAlFCNoIiwhiCEEIDAfRB7AHpQeLB0QG4QaLBlcGOQYaBfYF2gXKBb8FqgWGBVYFHwTsBMoEuASoBIgEVwQqBAsD8QPNA6UDhwN0A1gDKwL/AuYC1QKzAn8CVgJIAkICKgH+AdYBwAGwAZcBegFdAUEBIwEPAQoBBwDzANMAwgDIAMwAuACWAIcAkQCfAKEAoQCjAJgAbwA8ACkARgB1AIkAdgBVAEIAPwA+ADEAGQAC//j/+v/4/+z/4P/g/+v/9P/0//P/9//1/+b/0P/H/9L/5//7AA4AJQA9AFEAZAB7AI8AlgCVAJkArgDOAPIBGwFLAXoBnAGvAcAB1gHwAgcCGwIwAkkCZgKFAqICuQLLAtoC5wLuAu4C7ALvAvUC8QLfAswCxwLNAs4CwgKvAqICoQKoArACugLQAvcDKANNA1cDTANGA1ADYgN3A50D4gQvBFMENAPnA5QDQwLgAnQCLwI7AoECsgKRAiEBmwEzAPwA6gDrAPEA9QD0AO8A6wDmAN4A0AC+AK0AnQCIAGUAMv/2/7f/dP8r/t3+kf5K/gf9xv2J/VP9JPz4/ND8qvyI/Gf8Rfwg+/n70Pur+437dPtY+zT7Cfra+qr6e/pO+iP5/PnW+bD5iPle+Tb5E/j2+Nn4sviD+FX4MvgY9//34/fE96X3hPdf9zn3FPbv9sj2nvZz9kn2HfXw9cP1m/Vz9Uv1IvT+9Nz0uPSR9Gb0OfQI89PzovN481TzMPMM8uvyzfKr8ojyZ/JN8jPyEfHo8b7xlfFq8TrxCvDg8LzwnPB68FrwPPAd7//v5O/P77vvou+B71vvM+8K7uHuve6h7o3ue+5p7lPuOe4e7gjt+O3r7d3ty+267avtn+2Y7ZTtj+2D7XPtaO1o7XDteO1+7YPtiu2Q7Zftn+2r7brtzO3j7f/uFu4j7ivuOu5U7nDuie6m7s/u/+8q70nvZO+E76vv0u/58CHwT/CA8LHw2fD48RXxPfFx8arx4fIe8mjytPLn8vnzAvMf81PziPOy89z0DvRD9Hf0ufUW9YH12PYR9k32r/cx96r4BPhR+Kv5EPlo+af51/oB+iX6QPpc+oD6q/rN+tv62PrN+sf6zPrQ+rz6gfor+eH5vPmr+YL5Kfi1+E/4BffD92/3AvaI9hL1p/VQ9Rf0/vUC9R/1VPWY9dP17/Xm9cz1uPW19cf18vY09oX22fcx95f4DfiE+O75S/me+d75/Pn7+ez53/nP+bf5nfmN+YD5aflE+Rv46PiU+BT3i/c19y/3YPeh9+b4M/h9+Kb4pviX+Jn4pfia+Gf4HPfS95P3ZPdD9y33DvbZ9pr2bPZb9lv2YPZu9ob2lfZ+9kH1+fWv9U30uPP48zbykfIR8bvxm/Go8bHxffD+8FnvuO8p7qTuLu3S7ZDtW+0j7O3sv+yd7IHsZuxQ7EDsNOwn7BrsEOwO7A/sDOv+6+vr3OvW69Pry+vC67/rv+u265/riOt963/rgOt763fre+uD64friuuU66TrtevE69br7+wJ7B/sMexF7F3seOyU7LLs1ez77STtTu147Z/tw+3o7g/uOe5n7pru0O8G7zjvbe+p7+rwJPBW8IbwvfD68TbxbvGq8ezyMvJ38rzzA/NN85Tz1/QY9F30pfTw9Tn1hPXT9if2ffbT9yf3ePfL+B/4cvjD+RD5X/m3+hX6cvrC+wD7LvtS+3D7i/up+877+/wq/FT8efyf/Mn89v0l/VP9gP2t/db9/f4k/k7+ff6w/uP/Ff9D/2//nP/PAAgARACBAL4A/AE6AXkBvAICAkcCiwLMAwkDRAN+A7gD9wQ3BHQEqwTgBRMFRgV0BZsFwAXkBgYGJAY9BlQGawZ9BocGiwaOBpUGngarBroGzwbqBwcHJwdLB3IHmwfCB+YIBwglCEUIaAiNCLAIzgjoCQEJGQkxCUcJXAluCXwJiAmTCZ8JrQm/CdcJ8AoEChIKIwo7ClUKbQqPCtQLSAvZDGgM3A03DYANwA36Di8OWg5sDlsOOA4fDiYOSg5+DrUO5Q8EDw0PAQ7rDs4Oqg5+DkwOEw3YDaMNgw10DV4NKgzhDKAMdwxaDDcMDAvjC8ALmQtqCzgLCgrgCrQKhwpaCi8KCAnrCdgJywnCCbwJvAnDCdMJ8gojCloKgQqRCpcKqQrQCwULPwt7C8ML/QwiDDUMRAxRDFoMXwxoDHkMkQyrDMAMygzFDLcMqQyhDJ8MrgzaDR0NVA1QDQcMoQxWDD8MRgxNDEsMTgxfDG8MZAw2C/ILpwtfCx4K9ArqCvYK+wrlCrkKiQpdCi0J+QnLCa0JnwmZCZYJlQmLCXgJcgmRCdYKHQpJClgKXwpoCncKkwrACuoK7wrECoUKVAoxCggJzgmKCToI0ghWB+AHigdIBv4GpgZVBh4F9gXOBaQFgQVkBUkFNgU0BUIFUgVhBXgFnwXHBdsF2QXOBcUFswWPBWQFQwU5BTwFOwUrBQ4E7ATQBL0EpQR7BEIEDgPtA9sDzgPAA7IDowOUA4kDhwONA5EDlwO4BAMEZASlBKUEbwQuA/UDvAN4AzAC8AK3An8CTgI2AjUCNAIaAe8B0gHXAfUCFAIrAkACWAJpAmQCSAImAggB7gHQAawBhwFaARoAxwB2ADgABf/D/2r/Cf6y/lv99P2A/Rf8wPxf+9n7MvqE+dr5Kvhw97z3I/aj9in1q/U39NX0ffQp897zpvOB82TzRPMk8wXy6fLQ8rvysPKw8rryyvLZ8uXy8/MG8xfzG/MU8wry/fLm8s7y1vMU83DzuvPj9A70WfSy9Oj06fTA9GrzyfLY8dPxEvCx8IbwV/AX79Lvh+8g7pjuFe3Q7e7uZe7872DvXu8B7ovuMO3u7aPtPezX7JXsgOyA7HvsZuxD7Bzr9uvP66jrhutz63Trfut6617rNesN6urqxOqV6mLqLun96dfpwOmx6ZPpX+kq6RbpJ+lB6UrpQekz6SbpEej16NroyOi86LTotujD6M3oxOiq6Jbol+is6Mzo8+ke6TzpOOkV6O3o1+jS6MjoruiJ6GXoTOhC6EToS+hY6G3oj+i76OfpFOlL6Y/p0On16fTp3OnA6anplumF6Xbpaulk6W3pi+m26dzp7+nv6evp8+oO6jfqXOpt6m7qcOqD6qPqxurx6y/rgevX7B7sUOxn7FnsKevx69rr7+wb7ELsbOyz7R/tnu4T7m3uqe7R7vXvJu9r77Lv4+/88BTwRfCO8NjxD/Ex8U3xc/Gi8dTyB/JI8qHzCPNb84bzkPOZ87Xz2fPx8/70EPQx9Fb0dfSQ9LL03vUM9TP1VfV39Z710PYQ9ln2ovbq9zb3j/fu+Er4ovkB+Wn50foz+pH68/tS+6D74Pwo/Ij8+P1h/br+D/5p/sn/KP+A/9MAJQB9AOIBTwG8AiUCkgMIA34D7QRbBNQFTwW0BgEGUga5BxYHPwc/B14H1QiECRIJQAkcCNwIqwiPCIAIcAhWCD8IQAhrCLEI9wkvCWgJtgoaCoIK3AshC1QLfAukC9UMDQxHDIMMxQ0IDT0NXg11DYsNnA2iDZ0NnQ2pDb4N1Q3uDgsOKA5DDmEOgw6nDsYO4g7+DxkPLg9AD18PjQ+0D7kPoA+ID44Ptw/zEDcQfhDEEQIRNhFhEYcRqxHTEgYSPRJkEnISchJ8Eo4SkRJ/EnQSjhLCEuQS2BKrEmkSARFhEKUQBw+UDwgOGQzOC4MKjQoFCdsKCQqQC1UMJAzRDVUNuA3+DisOTw5zDocOdQ5GDhoOAA3jDa8NcA0+DRkM7Qy0DHwMSQwKC70LgAtwC3QLUgr2CowKSQo0Ci0KIgoVCfwJuAlGCNIIkAh8CGIIJwfnB8kHwAecB0oG9wbXBuUG5waxBlcGDQXtBegF4wXWBcMFpwV3BToFAQTVBKsEegRPBDkEMgQjBAID2gO4A5YDawM+AxoC/QLXAqsCjgKKAokCcAJAAhkCBwH9AeUBwgGgAYEBZAFOAUQBOQEdAPcA4wDqAPIA3wDAALcAzgDpAO0A2gC/AJwAcgBXAGoApQDWAM8AlABSADEAMAA4ADQAKAAfACYANAA7ADIAJgAmADMAPgA/AD0APwBAADMAGwAKAAoAFAAfACsAPABRAGUAegCPAKEAqACoAK8AxADkAQcBLwFfAY4BtAHOAeQB/AIVAiwCPwJRAmQCegKWArUC0QLlAvYDBgMPAw4DDAMUAyYDLgMiAwsC/QMAAwgDDAMIAwAC+gL5Av8DBQMHAwQDBAMJAw0DCQMAAvYC7wLzAw4DQwN7A5QDhgNnA0wDLgMCAuAC/QNpA+QECwOpAt8CBAFaAPcAzADFANAA2gDXAMMAqQCYAJIAjgCFAHcAbABhAEwAJP/v/7X/ev84/u/+pf5g/h/94P2h/Wn9N/0K/N/8t/yT/HL8T/wm+/r70vuy+5v7iPtw+0/7JPry+sD6kPpk+jv6Evno+b/5lvlu+Un5KPkK+Ov4wviR+GH4O/ge+AL34/fA9533efdS9y33C/bp9sP2mvZx9kn2IfX39cv1ofV39U31JvUC9OD0u/SS9Gb0NvQB88vzmvNz81PzMvMP8uzyy/Kp8obyZfJK8jDyDvHl8bzxlfFs8T/xEfDo8MbwqPCJ8GfwRPAh8ADv5u/S777vpO+C717vOO8R7unuxu6t7pzuj+5+7mLuQO4f7gft9+3o7dbtxO227aztoe2V7Yzthe197XHtaO1l7Wvtc+177YDtg+2F7Yrtle2k7bDtve3Q7e/uDu4g7ifuNO5N7m3ui+6p7tDu/e8n70TvXe9776Lvze/38B/wS/B/8Lbw5/EI8R7xO/Fr8afx4fIT8kTyd/Km8sry8PMi81zzjvO18970DvQ99Gn0pvUE9XT1zfYB9jT2jfcL94b35/g9+J75B/li+aX52/oM+jb6U/px+pr6yPrm+ur64Prc+uX68vrz+tb6lvpC+fr51fnE+Z/5Tvji+ID4OPf295z3Jfam9jL10fWG9Vf1SPVV9Xn1rfXl9gz2EvX/9fH1//Ys9m/2xfcs95n3/fhT+KD46fkp+Vz5ifm7+ez6Dvob+iD6I/ob+gL55/nf+ej55vnC+Xj5D/iI9/T3g/dm9573/PhR+Jr46vk7+Wj5YflD+TT5Nfkj+Oj4lPhE+AX31Pew95L3bvcy9uf2p/aG9oD2h/aU9p/2mfZx9jL18fWw9VP0w/QK80nymvIN8bvxtfHj8f/xz/FW8MPwMu+a7vPuVO3d7Y3tSu0C7MHslex87GfsUOxA7DrsN+wv7CHsF+wZ7CPsKuwj7A3r+evv6+vr4OvO68Drveu566vrluuG64Drfet6633riuuY66Drpeuw68Tr2Ovo6/fsCewb7CrsOuxQ7Gzsh+yf7Ljs2O0A7SztWO2C7ajtze3x7hjuP+5p7pnu0O8H7zrva++i797wFfBB8Gnwl/DO8QfxP/F58bnyAPJI8ozyy/ML80/zl/Pj9C/0fPTJ9Rf1ZvW29gj2XPav9wH3VPem9/b4QviL+Nj5LvmL+ef6PfqJ+sr6//sn+0P7Wft1+5v7y/v8/Cb8Svxu/Jf8w/zu/Rj9Rf10/aL9zP30/h/+Tf5//rH+4/8U/0P/cv+k/9sAFgBWAJoA3gEhAWUBqwHyAjgCfAK+AwADQQN/A7sD+gQ8BH0EtgTrBR8FUwWBBacFygXtBg8GLQZGBlwGcQaCBowGkAaUBpsGowasBrgGyQbfBvcHEwczB1cHewegB8QH6QgLCCwITwh4CKEIxwjkCPwJEwkqCT8JUwljCW8JeQmBCYgJjwmZCaoJvwnSCeIJ9AoJCh8KMQpRCpsLHAu8DFIMyQ0mDXkNwg37DiMOOA43Dh0N+g3pDfgOHQ5IDnUOog7HDtgO0w7DDq8OlA5uDj8OCg3UDaENeQ1bDTgNBAzFDI8MbQxTDDAMBQvcC7YLjQtaCyYK9wrMCqEKdQpNCikKCAnrCdUJxgm7CbMJrQmtCbwJ4wofCl0KiwqiCrMKzQrwCxcLRAt/C9QMEAwtDDMMMww3DD4MRgxUDGoMhQydDKoMqQybDIYMcwxpDGsMfAygDNIM9AzmDKEMRwwEC+8L9Av6C/YL9wwIDB0MHwv/C8gLhwtCCv0KxgqvCrcKwwq3CpIKYwo2CgUJ0gmlCYYJcwlkCVoJVglQCUcJRwlnCaYJ6AoYCjoKWgp4CpEKrwraCwALAArZCq0KlwqECksJ5QlyCQYImAgcB6QHSQcLBs8GiAZBBgYF1wWrBYUFZwVNBTUFJwUtBT0FSwVYBXgFrgXfBfMF7AXfBdQFvQWSBWEFQwU8BTwFLwUTBPME1gTABKwEkwRvBEIEFwP3A+MD1gPKA7sDpgORA4UDhwOOA48DkAOrA+4EQgR8BIAEXgQvA/0DwwOAA0UDFQLhApwCUwIoAiICJAIMAdwBtgG3AdUB9gIOAiUCRQJjAmoCVQI0AhgB/gHXAaEBZwExAPMAowBE/+3/qv9y/y7+2v58/hf9qf06/NP8cvwF+3r61vor+YD4zvgZ93H24/Zp9fT1gfUY9Lr0YvQN88XzkvNs80nzJ/MK8vLy2/LD8rHypvKj8qXyq/Kz8rvywvLO8tjy1/LJ8rTyo/KY8pbyr/Lr8zbzcPOS87fz8PQs9E70V/RV9DXzxfLz8fzxM/C28GjwKu//7+fvvO9M7qTuE+3s7j3uzu9J73LvPu7O7lXt7e2Q7Sfss+xO7BPsAOv+6/Lr0+ut647rfetx61vrPusp6yzrPutD6y7rCeri6r3qkOpZ6iDp7Om/6ZfpdulY6TTpBujd6M7o2+ju6PXo7ejd6Mjoq+iL6Hbocuh26HzoiOie6LTov+i+6L7oxejR6ODo8+kH6Qvo8ejH6Kbom+iS6HfoSegd6AToAOgI6BPoHOgm6DfoV+iD6LLo3+kR6U3piumx6bvpr+mZ6YDpYulF6TDpJekp6UDpaemZ6b7pzunO6c3p1+ny6hfqOupN6k/qUepi6oTqs+ru6zfrh+vS7BLsSOxo7FrsGuvS67fr2ewT7EDsZ+yv7SXtru4i7nLuqe7X7wjvQ++F78Pv8vAV8D3wdfC38PbxJvFI8WTxf/Gg8czyBfJN8qTy/vNG82rzdPOD86zz5PQO9B70JfQ49Fj0efSW9LT03vUR9Uf1evWr9d32FfZX9qH26/cz93/30fgj+HH4wPkb+YL55/pC+p77B/ty+8v8FPxi/Mb9Mv2Q/eD+Nf6U/vT/Sv+a/+4ASACoAQ8BfQHtAlkCyQNDA8AENQSdBQAFYgW4BgUGXgbGBxsHPgdEB2sH0whRCKYIwgjFCM0I2gjlCPUJBgkGCPQI8wknCYMJ0An1ChEKTgqtCwgLSAtzC5sLxQvvDB0MVAyNDMIM8w0lDVcNfw2YDaYNqw2oDaENoQ2wDcoN5g4BDhoOMg5JDmUOiQ6xDtQO7g8IDyQPPQ9PD2EPeg+XD6gPpQ+eD6oP1hAeEHEQvhD8ESsRUxF6EZ4RwBHlEhMSRxJtEnsSfxKLEpkSlhKAEncSnBLeEwwTCBLhErIScRIFEXgQ8BB7D+4PEg3nDKcLjAqqCg4J1AoTCrcLhAxHDO4NeQ3lDjAOZQ6ODqIOlA5wDk4ONQ4TDdsNog19DWQNOwz/DMMMkwxeDBYLyAuJC1ILDgrBCokKcwpmCkYKGgn9CeQJqwlGCOUIuQi1CJwIUgf+B9EHwgeaB0cHAQcIB08Hdwc6Bq4GLwX5Bf4GDQYSBhYGGAX/BbwFYQUPBM8ElwRoBFEEVARYBEQEGwPyA9ADqANyAzcDBQLcArwCrwK2ArsCpgJ5AlICQwI+Ai0CDQHqAcoBqwGPAXwBagFNASoBFQEUARIA/QDkAOYBCQEnASAA9AC/AJQAfACKAMYBEwE4ARMAuwBqAEQARABRAF0AZwBzAIMAkQCSAIIAbQBjAGkAcQBxAGsAawBwAG4AYQBSAEgAQgA/AEMAUgBlAHcAhwCaAK4AuwDDAM4A4AD5ARYBOwFoAZYBvwHfAfsCEgIiAjACRAJiAoACmgKzAs0C5ALzAwEDEgMkAywDLAMwAz4DTQNSA04DSANFA0MDQgNDA0EDOwM0AzUDOwM9AzYDKwMmAyUDHQMOAvwC7gLpAvIDBgMWAxAC9QLfAuAC+QMmA3sEDQTDBUYFQQSmA7cCzQIdAacBVQEZAO0AyACeAGgANwAfACcAPgBMAEcAOwAxACMACP/d/6v/dv87/vj+s/5y/jX99v23/X39Sv0c/PD8xvyh/H/8Wvww/AX74fvH+7X7pfuO+2z7P/sM+tj6qPp9+lT6Kvn9+dD5p/mC+V/5Pvke+Pr40Pig+HH4Sfgp+Ar36PfD95z3c/dK9yX3Bfbl9sH2mvZy9k32J/YA9db1q/V/9VP1K/UH9OT0vPSQ9GD0LfP488PzlPNw81LzNPMS8u7yyfKk8oDyX/JF8ivyCvHk8bzxmPFz8UrxH/D28NPws/CS8G3wRPAd7/zv4+/P77nvne9871rvOO8V7u/uze6z7qPulu6E7mfuQu4i7gvt/e3s7dbtwe217a/tpu2X7Yftfe147XPtbe1p7Wrtb+137X7tgO2A7YXtk+2l7bLtue3H7eLuA+4a7iPuLu5G7mjuiu6r7tDu+O8e7zzvWO9576Dvyu/18CDwTfB/8LXw6vER8SvxRvFx8avx5vIW8kDyavKY8sfy+vM082zzl/O58970DfQ99Gn0qPUK9X/12fYE9iT2avbg92L30fgx+Jf5Afld+aP53PoR+j/6YvqF+rP65/sK+xH7CvsJ+xX7Ifsa+vn6vPpv+in5//ns+c75ifkj+MH4dvg099v3Yfbd9mn2D/XO9aj1nvWv9dP2AfYt9kP2OfYk9i72dPbr92/35/hO+Kf48fkp+Vf5gfmj+bn5x/nc+fv6HPo5+lH6YPpb+kL6Lfo0+lH6WPoj+a/5Ffh29/L3sPfE+Bj4cvit+Nb5Evlf+ZT5lfl2+Vz5Tvkz+Pr4s/h0+EL4Fffs9873sfeC9zz28/bD9rX2vvbL9sb2l/Y69cj1ZvUe9Nn0ffQG83ny2fI38b/xm/G48c3xoPE68MjwVe/Q7zjutO5j7ivt2+1m7PHsn+xx7FXsQOw47DzsP+w57C3sI+wj7C7sPexD7DPsFuv96/Dr6Ova68zrx+vG68Drruua64zrhOuD64zrn+uw67rrv+vM6+Lr+OwL7B3sMOw97EXsTuxj7H7smOys7MPs5O0P7TztZu2P7bbt3e4D7inuTO5w7pvu0u8N70Pvcu+f79DwAvAu8FTwfvCv8ObxHvFW8ZTx2vIh8mLymfLO8wrzU/Ok8/T0QfSQ9OP1OPWN9d/2MPaB9tT3KPd+98/4Gfhg+K/5Cflo+cP6E/pa+pn60Pr5+xX7K/tF+2r7mPvH+/H8Fvw8/GP8i/yx/Nr9CP06/Wz9mv3F/fP+JP5V/ob+tv7m/xj/Sv99/7L/7AAsAHIAuAD8AUABhwHPAhYCWQKeAuYDLwN0A7YD9wQ8BH4EuwTyBSkFXgWOBbUF2AX8BiAGQAZaBm8GgQaQBpoGoAamBqwGswa7BsYG1QbnBvoHEAcsB0sHaweLB7AH1gf7CB0IPwhnCJMIvAjdCPgJDwklCTcJRwlUCV8JaAluCXEJcgl0CXwJiwmfCbIJxwngCfgKDwo3Co4LHQvEDFcMxQ0fDXcNyA4BDhwOIg4YDgAN4w3WDd8N9w4VDjkOZg6PDqIOnw6UDosOew5aDiwN+g3GDY8NWg0tDQcM3gyvDIQMZAxIDCQL+gvQC6kLfwtRCyMK+ArPCqMKeApUCjcKGgn9CeYJ1wnLCb8JsgmuCb4J5wolCmQKkwqzCs4K7QsNCyoLUAuMC+MMGAwuDC0MKAwqDDAMOwxODGwMjQyiDKEMjQxuDFAMPQw4DD8MUQxuDI4MnAyDDEUL+Au8C6ALmguZC5ULlwuoC8ALzQvBC54Lbws2CvMKtAqRCo8KmAqNCmkKOgoJCdcJpAl4CVkJPwklCRAJCgkOCRUJIglCCXIJpAnTCgwKVAqYCsYK4Qr9CxMLEQr9CvsLEgsPCrcKDAlPCLYIOwfCB0sG7wa3BpEGaAY1BfoFvQWFBV4FSAU2BSQFHAUmBTgFQwVSBX4FxwYKBiQGGAYEBfEF0QWbBWMFQgU4BTAFFwT1BNgEwgSvBJcEfARhBEcEKgQMA/ID4gPYA8sDtQOcA48DkQOYA5gDlgOmA9AEBwQuBDoEMgQcA/MDtQN1A0wDOAMXAs0CbwIpAhACCgHvAb0BmQGeAcIB5AH7AhYCQwJyAoUCcgJOAjMCHAHvAZ8BQQDyALMAbwAS/63/WP8Y/tv+jf4s/cL9V/zw/Iv8JPus+xz6efnN+R74bffE9y72rfY29cH1U/T09J30R/P087Lzg/Nc8zPzDfLy8tzywvKn8pfylfKY8pfyk/KQ8o3yivKJ8onyg/Jy8lzyTfJP8mPyjfLL8w7zQvNk84PzpPO387DzpPOo86LzWPK08eHxJPCX8DHv9u/58CDwGe+e7tDuJu4E7mPu5O8o7w7ur+417cDtVuzv7ILsF+vB65Prh+uF63LrResQ6vDq8usC6wbq9Orh6uXq/OsM6wPq6OrI6qDqaOoj6eXpuema6XfpS+kZ6Ofouuic6JPom+io6K7oreim6JXoeOhZ6EXoQ+hO6FzobuiH6KXovujR6Nzo3OjQ6MLovujB6LjomOhv6FfoT+g+6BLn2ue0567nuufI59Pn3efq6AHoJehX6IzovOjp6RrpTOly6YTphOl16VjpMOkI6O7o5ujx6Q/pPelw6Zfprem06bnpwenP6eXp/eoS6h/qKeo76l7qleri6zvrjuvQ7AnsQuxq7FXr++uS62rrmevv7DLsZ+y57T3tzu4/7ofuvO707zDvau+d78rv9fAl8F/wofDd8QzxMvFW8XTxi/Gk8c7yDvJY8p3y1/MG8yfzPfNc85bz4/Qg9Df0MfQw9Eb0aPSG9KL0x/T/9UT1j/Xb9ij2cva79wP3SveQ99X4GfhY+Jb43fk0+Zf5+PpS+rH7H/uQ+/H8Rvyi/Qz9cf3C/gn+Xv7B/x3/av+1ABEAeADcAUABrQIjApgDCgOCBAAEdgTXBSkFdAW7BgUGXgbABwoHJgcwB10HuggaCFUIegiuCO0JFwkkCTUJVgltCWgJbwm0CiQKdQqFCoYKtAsNC1wLigusC98MGwxLDHMMoQzRDPoNGg1ADXINng20DbcNtA2zDbUNvQ3MDeIN+g4RDikOQQ5YDnEOkQ62DtkO9Q8QDzEPVA9rD3YPfg+PD6UPtQ+9D8wP9RA9EJUQ5hEfEUYRZxGNEbUR2BH7EicSVhJ4EoYSjBKXEqUSoxKREosSrxLvEx0THRL7EtUSrBJvEhYRsxFLEMUQBA8LDfcM3wvNCtYKMgoNCmULCAvGDIYNOQ3NDjAObA6RDqQOog6PDngOXg44DgMNzw2mDX8NTA0TDOUMwwyWDFEMBgvIC44LRArvCq0Kjwp9CloKJgn2Cc8JmglRCRQJAwkICOkIiwgYB9EHvgeqB28HLwcyB38HvweWBwcGdQYzBjkGSQZDBj4GSQZFBgoFpQVHBQ0E4gSyBIcEdQRzBGcERwQkBAkD5QOmA1sDHgL5AuUC3ALfAuUC2AK0Ao0CewJ6AnMCWQI1AhIB8wHWAb4BqQGRAXUBYAFVAUYBKwESARQBLgE+ASgA9wDJALUAwwDzATwBfAGHAVQBBQDKALMAtQDAANIA6QD+AQkBCAD4ANsAtwCcAJIAkwCRAIoAhQCHAIwAjQCGAHkAZwBbAFwAawB9AIcAjwCcALAAxQDWAOcA+QEOAScBSgF1AaABxQHnAggCIAIpAi4CQwJrApYCswLGAtgC6wL5AwMDFQMvA0UDTQNKA0oDVANnA3wDiQOJA3wDcANsA2oDZANaA1gDYANmA2QDWwNUA00DQgMyAyUDHAMUAwwDBwL9AuQCvgKlArUC+QNyBBsE4gWSBeEFpAT9BD8DrwNYAxQCuQI6AakBHgCjADn/5v+5/7n/2P/2//7/+f/z//D/4//G/57/cP87/v7+vv6B/kb+Cv3M/ZL9Xv0w/QX82/y1/JH8bPxE/B37/vvo+9f7xPup+4L7U/sh+u/6wPqW+m36QfoR+eH5t/mT+XL5UPks+QX42vir+H/4WPg3+Bf39ffQ96j3fPdS9yz3Dfbt9sv2pfZ/9lr2NPYM9eL1t/WK9Vv1MPUJ9OX0vPSM9Fn0JfPy88LzmfN281jzO/Ma8vbyz/Kl8n3yW/JA8ibyB/Hk8b/xnfF78VfxL/EH8OHwvPCV8GvwP/AX7/bv3O/H767vku9y71LvMu8R7u/uze6w7pruiO507lruO+4h7hHuBO3y7dftvu2v7artpO2X7YftfO137XXtcu1u7Wztbe107XvtgO2A7YXtle2r7brtwe3J7d7t/O4V7iPuMO5G7mXuiO6q7s7u8+8W7zfvWe9+76Tvyu/18CTwVvCH8Ljw6vEX8TvxW/GD8bfx7/Ig8k3ye/Ks8t7zEvNI83vzovO/8+H0DvQ99Gr0qfUO9Yr17/Yc9iv2V/a890H3vPgj+If48PlS+Z/52/oQ+kH6a/qU+sb6/vsr+z77P/s9+z37OPsm+wX61/qb+lz6LvoY+gP5zflu+QT4svhy+CX3t/c29sD2ZPYm9gT1/fYM9in2TfZv9n/2dPZn9oz3CffI+If5D/lX+Xv5kvml+bv51/n2+gr6EPoQ+hv6Nvpc+oP6mvqT+nn6bvqK+rv6w/pz+dD5D/ho9//34vgH+Ez4gfiR+Jj4v/kK+VD5afla+T75I/j++Mn4kPhe+Cz39PfC96r3qfej94H3SPcT9vX27Pbo9s32gPX69Vf0wvRV9Abzx/OJ8zvyxfIq8aDxYPFk8WrxPvDl8ITwIe+x703vI+8570Pu8e5B7Xvs4+yE7E3sMewu7DfsO+w37DHsLewp7CzsPuxV7FbsOOwP6/br7+vr697r0evK68Xrveuy66jrpOum67HrwevP69br3uvq6/vsDOwd7DTsTuxh7Gnsbux77JHspuy47NDs9O0i7VDte+2l7dDt++4l7kzube6L7q/u3u8W70zvdu+b78Lv8PAf8Ezwd/Cl8NnxEPFK8YfxyvIQ8lHyhvK18unzK/N288H0CfRU9Kj1AfVY9av1+/ZM9p728/dL96H38fg9+I/46flG+Zz56Poq+mT6lPq6+tj69PsT+zf7YfuM+7f74fwK/DL8Vvx6/KD8zv0B/TP9Yf2P/cD98/4l/lb+hv64/uv/H/9T/4n/wwADAEcAiwDNARABVwGhAekCLgJ1AsEDEQNfA6cD7QQzBHYEtATvBSkFYgWVBcAF5gYNBjQGVwZzBogGlwaiBqoGsAa1BroGwAbKBtgG6gb7BwsHHwc5B1YHcweRB7UH2wgACB8IPQhgCIgIrwjQCO4JCgkhCTIJPwlJCVIJVwlaCVoJWQlYCVoJZAlzCYUJmwm2CdMJ9AotCpkLOAvhDGgMww0RDW4NzA4LDiAOGg4KDfgN6A3eDd8N5w31DhEOPA5jDnEObA5mDmoOZQ5HDhQN2g2fDV8NIAzuDM8MtgyWDHEMUAwyDBAL5wu+C5gLcgtMCyYLAArWCqkKggplCk4KNQodCgsKAQn1CeIJ0AnLCdwKBAo8CncKqArOCu0LCwsoC0ILZwugC+sMFQwnDCYMJAwoDDEMPwxWDHgMmQyoDJoMdQxJDCcMFwwTDBkMJgw6DEcMQAwcC+MLpgtzC08LOQsuCykLLgtBC18LeguEC3kLXQswCvQKtAqICngKcgpeCjgKDAnhCbAJewlOCS8JEwjyCNIIxAjLCN0I9gkXCTwJXgmLCdkKSQq3CvsLFwsiCyoLKQswC1oLmQudCx0KKgkmCF8H1wdiBvEGlwZkBk8GPgYeBecFnwVcBTMFJQUfBRQFDwUbBSwFNwVJBX4F1wYqBk4GQwYpBgwF4gWkBWYFPwUwBSEFBAThBMUEsgSbBHwEYARPBEUENAQWA/cD4wPdA9YDxAOrA5kDlwOcA54DnQOjA7QDyAPYA+YD8gPwA84DjgNTAz0DQwM3AvIChwIrAf4B6wHMAZ0BfgGJAbEB1QHrAgoCRAKEAqECiwJeAj4CKwH+AZ8BIgC4AHMAO//v/4z/K/7a/o/+Of3W/W/9Dfyt/Er73ftf+sv6I/lx+Lz4D/d09vH2f/YM9Zf1LPTS9IH0LfPd86DzdvNO8yDy9vLc8sfyqvKI8nfyfPKH8ofyffJy8mjyXPJP8kXyO/Is8hzyGfIq8kzye/Kz8u7zIvNL82jzcfNb8zDzDvMK8wbyyPI88Yjw3vBS7+vvxu/48FDwXO/Q7uDuH+3v7jjukO6k7mvuBu2U7R/sqOw168zrdes36xrrFusW6v/qx+qF6mDqa+qT6q/qr+ql6qzqw+rV6tLqwOqm6n7qQen36brpl+mB6V/pKejr6LPoieht6GDoYOhm6Gzoc+h26HPoYuhK6DXoLOgv6DnoSehg6Hzomuiw6LbopOh/6FzoTuhQ6EnoK+gE5+vn3+fJ55zncOdd52fneeeA54Xnkeeo58nn8ugo6GLomOjF6O/pFuk06UXpS+lC6Sbo++jP6LLoq+i46NrpDulI6Xnpl+mm6a7psumx6bPpvunS6enp/uoR6jDqaurD6yzrhOu96+3sK+xf7Ezr3OtU6xzrV+vK7CjsbuzP7WDt+u5q7qnu2+8W71XviO+r78rv8vAs8HbwwPD58R3xPvFn8Y/xp/G48d7yIPJm8pbys/LR8vfzHfNH84Tz1fQb9DX0J/Qb9C30UvRy9In0qfTh9TD1kPX89mr2y/cX91X3kvfS+BH4Svh/+Lr5Avla+bv6HPp7+t37Rvut/Az8avzW/Un9q/3y/jP+h/7p/z//hf/UAD0AsAEXAXgB5gJlAuEDUgPBBDcEpwUCBUcFggW9BgMGWga2BvQHAwcJBzkHlAfrCCMIXwjECTQJbQlpCWAJeQmXCZ4JsQoCCn8K1grjCt4LCwtjC6sLzAvsDCcMaQyWDLMM2Q0JDS8NSQ1oDZUNuw3IDcINvw3IDdQN3w3rDf0OEQ4lDjwOWA5zDowOpQ7DDuQPAA8cDz0PZQ+ED5IPlw+jD7wP1g/nD/UQFxBXEKsQ+hEzEVkRehGhEckR7hISEjoSZRKEEpMSmhKlErUSuxKxEqkSuRLgEwUTDxMBEugSzBKnEnMSNBHmEXcQ2hAWDzcOPA0gC/sLCgqICoMK3wt6DDwNBw2zDiUOYQ6CDpkOpg6gDooOag5DDhgN6w24DXsNOg0KDPMM4AyzDGsMLQwRDAALzQtoCvsKuQqsCqwKkQpPCfgJpAliCUEJQglNCTII1ghZCAAH8AgAB+wHqQd6B5UH1QfaB38HAwa9BrAGoQZxBkUGPwZDBhoFxgWDBXMFcgVMBQIEwQShBI8EcwRVBD0EHQPkA6ADcQNfA1IDOQMhAxgDEQL5AtYCwQLBAsACqQKAAlkCOwIjAgsB8wHcAcUBsgGhAY0BcAFUAUYBRAE7ASABAwD9ARcBSQGBAa8BwQGrAX8BWwFVAV4BYwFjAWsBfgGKAYQBcQFYATcBCgDcAL4AtgC1AK8ApACdAJ4AowCjAJYAggBzAHQAggCOAJMAlgCjALkA0ADlAPoBDwEkAT0BYQGMAbMB0QHvAhMCMQI9AkECUwJ6AqACswK7AssC5QL8AwoDGgM2A1YDaANmA10DWwNrA4cDnwOmA5wDkgORA5QDkAOHA4QDiQOLA4UDeQNuA2IDUwNFAz8DOQMsAxkDCwMBAu8C0AK7AtIDJgOuBFQE8gVYBVwE/gR6BCAEGwRYBJAEeAP0AyACPAF3ANkAVP/m/57/hP+I/5P/nP+n/7T/uP+q/43/Z/85/wT+yf6O/lb+Hv3k/az9ef1L/R/89fzN/Kf8gvxe/D38IfwK+/X72/u4+4v7Wvsp+vz60vqq+oD6U/oi+fL5x/mj+YH5Xfk3+Q744/i2+Iz4Z/hG+Cf4B/fk97v3kPdl9z/3Hvb+9tz2u/aZ9nP2SfYc9e/1w/WV9WT1NfUL9Ob0vvSQ9Fv0JvP088rzp/OH82fzR/Mm8wLy2fKs8oLyXfI/8iLyBPHj8cDxoPGA8WDxPfEV8OvwwPCT8GbwOvAS7/Hv1u+976Lvhe9m70fvKe8L7uvuy+6r7pDud+5h7kruNO4i7hXuCe307dftuu2m7Z3tmO2R7YXte+117XLtcO1s7Wrta+1w7Xjtfe1/7YXtle2r7b7tx+3O7d7t9u4Q7ibuOe5Q7mzui+6s7s/u8+8U7zXvW++C76fvzO/28CnwYPCR8L3w6vEb8UnxdPGd8czx/vIv8l/ykPLC8vLzIfNR84HzqPPH8+n0E/Q+9GP0k/Tr9Wv15fYq9j32Wfau9zD3sPgV+G740/k9+Zf51/oK+j36b/qf+tD7B/s4+1f7YPtd+1P7QPsm+w769frR+pr6ZPpG+jf6Efm6+Uv47fiv+HT4Gvej9yn2xvaD9mH2XfZq9n72lfav9sL2wfa+9vL3jPh2+Vv55/oR+gb59/n0+fz6Dfon+j/6R/pD+kb6YfqS+sL62frM+q/6rPrZ+xf7G/qx+ej5C/hi+Ar39vgN+C34Pfg2+C/4TPiQ+Nz5B/kH+O34yPia+Gf4NPgC98T3evdB9zn3Y/eW96r3mPdx90X3F/bm9qv2VvXZ9Tj0jvPy83DzEPLU8qfyYfHx8XvxNfEh8RPw4/CX8EHv2+9q7yXvS+/F8Bjv2O8L7hTtSOy47FfsIuwX7B7sH+wc7CPsLuwu7CbsMexR7GbsVOwp7ArsBOwB6/Dr1evC673rwevG68zr0uvZ6+Dr6evx6/fsAOwM7BbsHOwj7DnsWex17IPsiuyV7KbsuOzK7OXtDe097W3tne3N7f7uK+5V7nrumu607s7u8O8c70jvb++R77Xv4vAW8Enwd/Cj8NTxDfFK8YnxyvIP8lTykPLA8u/zJ/Nn86jz5vQq9Hj0zvUm9Xr1yvYa9mr2vfcU92z3wvgW+Gv4wvkY+Wj5sPnw+ib6UPpy+pL6tvrd+wP7KftR+3z7qfvX/AH8J/xL/HH8nfzO/P39Kv1Y/Yj9uv3s/h7+Uf6F/rn+7f8j/1v/l//WABcAWQCaAN4BJgFyAbwCBAJNApsC7gNAA44D2QQgBGUEpQTkBSIFXwWXBcgF8wYdBkYGbAaKBqAGrga2BroGvAa9BsAGxgbTBucG/QcQByIHNwdSB3AHjgesB8wH7wgPCCsIRghlCIcIpwjFCOMJAQkcCS8JPAlGCUwJTQlLCUgJRwlHCUkJTwlZCWkJfQmVCbIJ2QohCqALTQv3DG0MsQzyDVINvw4LDiAOEg4ADfgN+Q38Df0N+A34DggOKQ5FDkkOPQ48DkwOUA4wDfINqw1mDSIM4Qy0DJ0Mjgx0DFEMMAwTC/QLzgunC4QLZQtFCyULAQrXCq0KjAp5CmoKVwpHCkAKPAowChcJ/wn5CgoKLApcCpUKzQr4CxULKgtAC1wLggu0C+gMCwwfDCUMJgwqDDQMRAxdDHwMlwydDIUMWAwrDAsL+gvxC+4L8wv+C/8L5gu4C4ULWAswCwcK4ArHCr8KxwrdCwILKgtIC1ELRAshCuwKsQqCCmMKSAokCfwJ2wm8CZAJVwkmCQoI9QjUCK0IkwiTCKUIwwjlCQQJHglHCaEKKgq1Cw8LMws/C0YLTAtiC58L5wvhC0AKIAjyCBAHfgcMBqQGUQYjBhIGCQX0BcUFfgU4BRAFCAUJBQIFAAUNBSEFLgVCBXkF1QYuBlgGTwYxBg8F4wWmBWYFOgUjBRIE+QTZBL0EpASHBGYESgQ8BDQEJAQGA+cD1gPVA9QDxgOwA54DlwOVA5UDlgOaA5sDlwOVA58DswO5A5sDYAMtAyMDNwM3AvsCkAIrAfEB1QG0AYcBaQF0AZsBvwHWAfYCNAJ9AqQCkgJhAjkCIgH3AZYBEACWAEUADv/P/3j/F/65/lz9+P2Q/Sz8y/xp/AH7kPsR+n350/kc+Gf3wPcz9sD2WPXs9Xz1FPS99G30GPPJ85Dza/NE8xHy4vLF8rTymfJ38mLyZPJs8mryXPJP8kPyM/Ih8hTyDfIF8gDyCvIo8lHyefKh8tHzCfM981rzTfMY8tbyrvKo8pnyTPG88RTwffAE76/vnu/h8DjwMO+M7pft3u2x7eTuFO4L7c7td+0J7IXr9+t66x7q5OrE6rnqveq96qLqY+oa6e/p++oq6lTqZups6nvqk+qh6prqhepp6kLqCenJ6ZTpculU6Sno8ei56IvoZOhC6CjoHOgd6CLoJugr6C7oK+gg6BDoAef65/zoBugZ6C/oRehQ6EboIufv58jnv+fL58znsueJ52znX+dP5zPnHecf5zHnPec75zznT+dz55vnxef36DLobeig6Mro6+j/6QnpCukB6OjowOiW6Hjobuh96Kbo6Oky6W7pkOme6aTppemf6ZfpmOmo6cTp4On26hLqSeqp6xrrc+uh68TsBOxJ7Ebr0+s66vXrOOu/7DDsfezg7XbuFu6J7snu++8273Hvmu+y78vv9PA08IXw1fEO8THxU/GF8bbx0PHZ8fPyLvJv8pbyp/LD8vPzJPNL83rzvvQA9B70FvQS9C30WPR49Iv0qPTh9TP1nPYY9pv3BvdL93f3qPfn+Cj4Y/if+Of5O/mX+ff6XPrC+yT7fvvQ/CP8hPz6/XX91/4b/lr+rf8K/1n/nf/yAGcA5gFTAbcCKgKvAy4DmgP/BGoE0QUjBWIFlwXOBg8GYQa1BugG7QbrBxsHegfPCAUIUQjfCYAJ1gnICaAJnQm1CcEJ1wooCqgLCQslCywLXguxC/AMCgwoDGEMnAy9DNMM/g05DWcNgA2YDbsN1g3bDdQN1g3kDfAN9w4EDhoOMQ5EDlkOdQ6TDqsOvw7XDvUPEQ8oD0IPZQ+ID58Pqw+5D9MP8BAFEBYQNhBxEL8RChFEEW0RkBG0EdkR/RIhEkgSbxKOEqESqxK2EsUS0hLSEscSvxLGEt4S+hMKEwcS8RLPEqcSfRJHEfcRhRD0EEgPcg5pDUAMKwtkCwILAgtZC/kMww2CDgoOVQ58DpYOpQ6dDn0OUw4vDhEN7Q22DW4NLg0ODQcM9wzEDH0MUAxYDHUMXgvzC2ELAgsGC0ALTQr3ClwJzQl8CWQJaAlwCWUJLwjPCHoIagiQCJgISAfUB6MH0AgIB/MHnwdTBycG8QaWBkIGJwYuBhoF4QXDBeMGDQX1BZQFKgTrBMkEpwSABGMERwQgA/cD6APwA+cDtgN3A1IDSQM9AyIDDQMNAw4C9QLFApgCfgJrAlMCNgIaAgIB7gHdAcoBswGWAXkBXwFGATEBLgFNAYgByQHzAfQB0gGjAYgBmQHGAesB8QHlAeAB5AHdAcEBowGQAX4BWQEjAPUA4ADdANkAywC8ALUAtgC3AK0AmwCMAIgAjQCSAJcAowC8ANcA6QD4AQsBJQE+AVcBeAGiAcgB4wH7Ah0CQAJUAl0CbQKKAqMCqQKqAr0C4wMGAxgDJAM6A1oDdAN8A3YDbwN1A4cDmwOkA6QDpwOyA7sDuQOvA6cDpQOgA5QDhwN9A3EDYgNWA1IDTAM6AyIDFAMSAwsC9gLkAvUDMgONA+sEMQRIBCMD0QODA3UDzQR8BTsFpwV9BNAD8AMpAoQB2QEQAEj/s/9m/1D/Vv9p/3//jf+K/3b/Wf81/wn+1P6c/mX+Mf3+/cz9mv1p/Tv9D/zl/L78mvx6/Fz8Pvwh/AX75Pu8+4z7WPsq+wL63vq4+pD6ZPo2+gj53fm1+Y/5aflC+Rn47/jG+J/4e/ha+Dr4Gvf398/3o/d491H3LvcM9uz20Paz9o/2YfYv9gD10vWj9XH1QPUU9O70x/Sc9Gj0MvQA89jztvOW83PzUPMu8wny4PK08oryZfJC8iLyAfHg8b/xn/GB8WTxQ/Eb8O3wvfCO8GHwN/AR7+/v0u+175nvfO9e70HvJO8I7uvuze6v7pHudO5a7kXuNO4m7hnuCe3z7dftuu2i7ZPtjO2G7X/td+1v7WntZe1j7WXtae1v7XXtee177YHtju2i7bftxe3Q7dzt7+4H7iLuQO5c7nfuku6w7tTu+O8Y7zjvW++C76jvze/38CvwY/CU8L7w6PEZ8U7xgPGv8d3yDvI98mzynPLM8vrzJvNT84HzrPPR8/b0IfRG9Fn0aPSb9Qr1l/YE9jr2Yfa09zf3uvgX+GD4ufko+Y751voJ+j/6e/qx+uH7EftA+2X7dvt4+3D7XftH+zr7N/sn+vb6tPqD+nH6WPoS+af5RPkG+NX4ivgZ95z3L/bj9r32ufbI9tf24/b19wv3FPcX90f33fjO+b36Tfpu+lj6RvpE+kX6RPpL+ln6ZPpq+nj6nvrX+wr7HPsI+uv67vsg+1j7TPrL+e/5DPhs+CD4CfgH+Aj4Bff89/b4Bvgy+Gn4i/iK+G34QfgO99r3rPd990D29/bG9tL3Gvdz97L3zffL96j3Xfb29o/2OfXj9XX05fQ7843y+/Kc8mryPPHq8X/xHvDb8KjwevBT8CTvxe857tbu+e+Q8BLwAu9j7pLt0+0s7J3sQewj7CLsFewC7AfsIewt7CLsHuw47FbsVOw17BvsFOwO6/fr1uvB68DryuvW6+Pr7uv47ADsCOwP7BXsHuwp7DDsMOww7D/sXex87I/sm+yp7Lzs0ezp7QvtNu1n7ZjtzO4D7jfuYu6C7p7uuO7O7uLu+e8W7znvXu+D76rv1vAK8D/wcPCc8MzxBvFH8YfxxfII8k/yk/LK8vjzKvNk86Hz3PQZ9F70rPUA9VP1pPXz9kH2kfbk9zr3kffp+EL4mfjp+TL5dvm3+ez6FPo0+lf6f/qq+tD69PsZ+0L7b/ud+8r79Pwa/EP8b/yf/M38+v0n/Vb9hP2z/eT+Gf5Q/oT+uf7w/yr/Z/+l/+YAKQBtALMA/AFHAZIB3AInAncCywMfA3ADvQQIBE8ElQTYBRsFXAWYBc4F/wYsBlcGfQadBrUGwwbIBskGyAbGBscGzQbbBvAHCAceBzMHTAdrB40HrAfJB+UIAggcCDYIUwhzCJMIrgjGCOEI/QkYCSwJOwlHCU4JTglHCUAJPQk+CUAJRglRCWAJdAmMCagJ0gohCqkLWQv8DGEMkgzGDSgNoA34DhMOBw36Df8OEQ4fDiEOFA4IDgwOIQ4vDiUOEw4TDicOLQ4HDbwNbA0mDOgMsgyMDHgMZQxJDCYMCQvwC9ILrQuHC2gLTgs1CxoK+QrTCq4KlwqNCocKfgp2CngKewpuClAKNgouCjkKUgp7CrcK+QspCzwLQgtQC2wLkwu+C90MAAwcDCoMLQwuDDUMRgxeDHcMiQyFDGgMPQwTC/QL3AvFC7MLsAu3C7MLkwtfCzALEArxCsMKjwppClwKZgqACqgK2AsDCxoLGQsACtYKpQp2CkwKHgnqCb4JpwmVCW8JMgj8COMI1wi/CJYIcghmCHMIkAizCNAI5QkLCWQJ8AqDCu0LKAtOC2oLdwuFC64L3Qu/Cw0J5QiyB8oHMgbBBmAGFwXrBdQFxQWzBZMFXQUkBQIE+wT8BPUE9AUFBSAFNQVLBX0F0AYgBkUGOAYXBfYF0gWfBWQFMgUUBQIE8ATWBLcElwR4BFsEQQQsBBcD/QPgA8kDwAPCA8IDuwOwA6kDowOYA40DhwOFA38DcwNsA3QDhgOKA28DPwMZAxUDKAMnAvECjQIpAekByQGpAXwBWQFaAXwBoAG3AdMCBwJLAnoCegJZAjUCFwHmAYkBCwCPADH/6/+l/1T+/P6g/jv9zv1h/Pj8jvwe+6j7Mvq1+ib5gfjQ+CT3i/cK9p72PPXY9W/1D/S69Gf0D/O/84jzZvNB8wvy0/Kw8p7yivJv8lnyU/JR8kjyOPIo8hryB/H38fHx9fH68f/yEfI08lrydvKP8rjy+vM781bzNfLo8p3ye/J28lbx7fFJ8KLwIO/D74Tvde+c77zvfu7K7fbtdu1u7Z3ts+2U7VPs++yC6+vrUurd6pzqgep66n3qgup96lzqGunO6Z7pnem86d/p9+oQ6jTqWOpm6lfqM+oK6dzpqel26UvpJOj56MXoluh06FjoNOgF59znyefJ58vnxee757fnuue857fnrOei55/npue158bn0OfK57DnhudY5zvnPOdN51PnPOcX5v7m+Ob15u7m6ub25wjnEOcL5w7nKOdR53vnoOfL6AHoPeh16KPoxejY6Nzo1OjB6KPoe+hT6DjoMehF6H3o1Oky6XXpkemU6ZTpmemc6ZfplOmg6b3p4en+6hrqTOqn6xjrbuuR66br4ewz7Ebr4etE6vTrNevH7EPskezo7XHuDe6F7tHvEO9T74rvp++2783v+vA+8JHw4vEe8UTxaPGe8dbx8/H28gXyOPJ28p7ysfLR8wfzPPNc83jzqfPj9Aj0FPQn9FL0g/Si9Ln04fUk9XX11PZI9sb3Kvdd93j3o/fo+DX4ffjL+Sf5i/np+kb6rPsZ+3v7yPwH/Ez8qf0d/ZT99v49/n/+0P8p/3f/vgAZAJQBGgGQAfsCcQL0A28D2AQ7BKEE/wVKBYcFwQX6BjYGfgbLBvoG+gbzBxwHdQfAB+oINgjjCb0KQwo/CfsJ1gnfCe4KBQpNCsULLgtdC3ILoQvmDBkMNAxWDI0MvwzaDPENJA1mDZYNrA29DdYN6w3uDe0N9g4DDgcOCg4cDj0OWw5qDnYOjg6sDsMO0g7nDwQPIA8zD0UPYA+BD50PsQ/ED90P+BAOECYQThCLENYRHRFVEYARoxHDEeQSCRIvElUSeRKZErISwhLKEtMS3RLiEtoSxxK8EsoS7xMXEykTHBL5EtESrRKHElISBRGfERsQbA+GDncNZAx2C8QLXAtOC6wMZQ1BDfsObQ6dDqYOmg5+DlgONg4fDgwN5w2nDWANMA0gDRwNBAzPDJYMfwyXDLwMrAxCC6cLQQtYC74L7AuFCrUJ/AmoCZ0JnwmZCZgJjAlXCQ0I7QkICREIswgPB6EHsAf8CBEH1weKB1QHGQa6BlsGMwY2BioGAQXyBiMGXwZSBe4FeQUuBQQE2ASkBH8EagRVBEQESwRjBGAEIwPKA44DfAN1A2IDTwNMA0kDLQL6As0CswKiAokCaQJNAjMCGgICAe8B3AHAAZ8BgwFyAWwBdAGTAccB/gIWAf8BxAGPAYgBtgH5AiYCLAIfAhcCDgHwAb8BmgGTAZsBjAFgASwBCwD/APcA6wDcANMA0wDTAMsAvACsAKEAmQCVAJ4AvgDrAQsBEwESASABPgFcAXEBiwGzAd0B+wIPAicCRAJaAmoCfwKaAq8CtAK3As4C9QMXAyYDLQM9A1kDcwOCA4QDgwOGA5ADnAOmA64DugPIA88DxgO1A6gDowOdA5UDjwOMA4cDewNyA28DaQNYAz8DMAMsAyIDCgLxAu4DAgMbAysDLAMhAwgC4QK9Ar4DEwPQBM8FrAYIBdYFYwT9BKIEDAMQAdoAwQAC/5v/a/9c/1//Zv9m/1r/Rf8r/wn+3f6o/nP+Qv4V/ej9uP2G/Vf9Kvz+/NX8sPyR/HP8Ufwu/Az76vvB+5H7Xvsx+w767frJ+qL6ePpO+iP5+PnL+aD5dflM+ST4/vja+Lj4l/h1+FP4MPgK99/3sveG9173OPcV9vf23/bH9qT2dvZE9hT15vW29YX1VPUn9P701vSs9Hv0RvQS8+bzwPOb83TzUPMu8wvy4/K58pLybvJJ8iTyAfHf8b7xnvGB8WbxR/Ef8O7wu/CL8GDwOfAV7/Pv0++175nvfe9g70PvJ+8K7u3u0e617pnue+5e7kbuNe4n7hjuBe3v7djtwO2o7ZXtiO2A7Xntce1o7WHtXO1c7WHtae1w7XTtde127Xrthe2X7avtve3N7drt5+377hfuOu5d7nvulu607tnu/+8h7z7vXu+D76rv0e/68CrwX/CS8L7w6fEY8UzxgPGx8eLyFPJE8nHyn/LQ8wHzL/Na84bzsvPc9Ab0NPRX9Fr0QfQ89H/1CfWd9gj2WfbD91P33fg1+G34tfke+Yr52voU+lD6k/rP+v77KftW+3z7lPuf+6T7ofuY+5f7ovuj+3j7Kfrh+r76qvp3+hz5wPmB+U/5BfiV+Bb3ovdK9xn3EPcg9zH3OvdG91r3aPdq9434DPjo+dH6Z/qT+ov6ifqV+pf6h/p3+nX6f/qS+rH64/se+0j7Ufs/+y/7PPtm+4L7Uvq4+dv5C/iH+FD4Pvgx+CX4HfgV+Ar4A/gL+B74KPgc9/v3zPeV92H3Ovcb9vT2wvaf9q727vc+94P3vffu9/b3tPcx9qj2SvYT9dr1fvT49Fnzw/NV8xDyz/Jn8c7xJPCO8CXv/PAO8B3v1e8j7nLuR+6170bvge9U7vTueO3V7SbssOyQ7IvsYewc6/bsA+wZ7BfsDewX7C7sNOwj7BDsB+v76+Pry+vE68zr1uvc6+Pr7ev57AfsFuwj7CnsLuw07DzsQexF7FLsa+yG7Jnsp+y47NHs7u0Q7TrtaO2Y7cnt/+457mzuj+6h7qzuue7J7t3u8u8L7yjvS+9z75zvx+/28CrwXfCM8Lzw9fE28XbxsvHv8jPyd/Ky8uXzGfNW85nz2fQU9FL0mPTm9Tj1iPXU9iD2b/bA9xL3Zve++Br4dPjD+Qj5SfmJ+b/56PoJ+iz6VPp9+qL6xfrp+xD7Ofti+437tvvg/Av8Ovxs/J38zPz7/Sn9VP2A/a/95P4a/lD+h/7A/vz/Of92/7j//wBIAJAA1gEdAWYBsgIBAlMCqAL+A1EDoQPuBDoEhQTQBRgFWgWYBdIGCAY5BmUGiwasBsUG1AbZBtoG2QbXBtYG2gbmBvkHEAcnB0AHXgeAB6MHwgfeB/YIDggoCEQIZAiHCKgIwgjYCO4JBwkdCS8JPQlJCVMJVglQCUgJQQk9CT4JRglTCWQJegmWCboJ7QpCCskLbgv+DFAMcQycDPkNcw3RDfYN9g34DggOHw4qDiIODA34DfcOBg4NDf8N6A3lDfQN8w3EDXMNIgzmDLkMkgxxDFUMNgwTC/ML3AvEC6ILeQtUCzoLJQsSCv4K5wrLCq4KnQqdCqAKoAqfCqYKqgqcCoAKaApgCmUKcwqXCtkLJAtUC1wLUwtYC3MLmAu7C9IL+QwdDDMMOAw4DD0MTQxkDHkMgQx3DFkMMAwIC+ILuQuNC2oLXgtjC2ELQQsOCuEKxQqnCnYKOgoNCgAKDgosClYKhwq1CtMK3QrSCrcKkQpqCj4KBgnFCZIJewluCUkJCgjPCLUIrwidCHYITwg+CEYIYAiCCJ8ItQjYCScJowoqCpoK8wtDC4ELlguOC48LlQteCqsJkghvB40G8QZ9BiEF3wWzBZAFdgVmBVYFOwUZBQME/QT5BO8E7gUEBSoFSQVlBZEF0wYQBiUGEAXrBc4FtwWWBWQFLgUGBPEE5QTQBK8EiwRtBFYEPQQdA/cD1AO6A64DqwOqA6cDqQO3A8gDzAO3A5cDfANsA18DUwNPA1kDZQNhA0gDJgMQAxADGwMUAuECgwIfAdoBtgGZAW8BRgE7AVMBdwGRAaQBwQHvAh0COwJEAjwCIQHlAYQBDQCZADL/1f95/yL+0v6B/iL9tP1A/M78VvvT+076zvpS+cn5LviM9/X3bvb29oz2KvXK9Wr1D/S89Gn0EvPC84rzaPNF8w7y0fKj8oryd/Jh8k7yRfI98jDyH/IN8fjx4fHS8djx7PH98gjyGvI68ljyavJ88qny9vM/81TzIvLF8nfyWPJP8hvxlvDf8Dvvzu+K71bvMu8f7vXuhu3b7UftFO067Wrta+067O3siewE62vq4+qK6mHqVOpS6lbqWOpN6iTp4OmV6V3pROlA6UTpUul56brp+uoX6gTpzumN6U/pGOjr6MXonehu6ELoKOgh6BTn6+ev537nbOdx53HnXedC5zPnNedA50fnROc85zbnOedF51HnUedB5yLm/ubf5s/m0+bg5uTm0+a45qrmrua35rvmvebJ5t3m6ubt5vXnDecx51fneuej59boDehB6HDoluiv6LPooeh96E/oI+gD5/Tn++gg6Gro0+k86X7pjemD6YHpkOmj6avpq+m16dTqAOom6kHqaeq36x/rcOuN65Xrxuwe7Ebr9utb6vzrLuvE7FDsp+zz7WLt6O5d7rvvE+9n75/vsO+x78bv+PBC8Jfw6vEp8VDxcfGh8djx/PIH8hjySPKF8q/yxPLk8xvzU/Ny84bzqfPZ9AP0JPRO9Ib0t/TY9P/1RPWc9ez2NfaO9vf3SPdr93z3p/f1+E74o/kE+Xb55/pE+pn6/ftt+9D8GPxP/I784v1I/bH+D/5c/qP+9f9Q/6b/+QBZANQBWAHTAkICtAMrA50ECAR0BNwFMwV3BbYF+wY8BnQGtQcBBzcHOgcoBz4HgAe3B9AIGQjjCfUKsgq+Cl4KEgoJCh4KPAp+CusLVguTC64L0gwGDDQMVwyBDLgM5Q0ADRwNTw2JDbANwA3ODeUN+A3/DgYOFA4eDh8OIw4+DmUOgQ6JDo0OoA69DtMO4Q70DxEPLg9CD1IPaA+ED58Ptg/OD+cP/RATEDIQZRCpEPERMRFmEZERsxHPEe4SFhJDEmsSixKnEsMS2RLgEt4S3RLfEt0S0BLCEsgS6xMbEzwTPRMjEv8S3BK7EpMSWxIOEagRHRBkD4IOjQ2aDLQL8At4C4IMIA0eDhYOsw7eDrsOgQ5TDj8OQw5ODkEOBg2oDVINKw0oDSIM/wzODK4Mqgy3DLkMkgwsC6ILRgthC88MBgueCscKGAnqCgoKGAn+CecJ3Am0CWQJIwkZCRMIvAgaB5gHhAexB7sHiAdUB0kHQQcJBrEGcwZaBj8GEwYABiwGaQZoBhYFrQVlBToFCQTSBK8EpASaBIkEhwSYBJkEZwQSA80DsgOsA50DiAN5A2wDTwMkAv0C4wLMArMCnAKJAnECTwItAhQB/QHcAbkBqQGyAcABwQG9AcsB6wIAAe8BvwGYAZwBzQIHAioCMAItAiwCHQHtAaoBfAF6AZEBmgGDAVgBMgEYAQgA/QD3APcA+QD4APIA5wDZAMkAtgCqALcA5wEkAUgBQwExATgBWgF/AZQBpgHJAfYCGAIqAjgCSgJfAnUCkgKyAs0C2wLoAv8DGgMsAzIDOwNPA2cDeAOBA4QDiAOOA5cDpAOxA74DyQPRA80DugOjA5cDlQOWA5QDkwOVA5QDjAOEA4IDfwNwA1oDSQM8AykDCgLrAtkCzgK/AqUCjQKDAoUChAJzAl8CdwLuA8YEtQVeBaYFxQX3BiQF7wUeA9cCfAFXAHr/3P93/0j/Pf8+/zn/Lf8b/wP+4f6z/oD+UP4m/f390P2f/XD9RP0Y/Oz8xfyk/IX8Yfw7/Bb79fvP+6H7cftH+yX7Bfri+rr6kvpo+j76Efni+bL5hPlZ+TH5Dfjs+M74sPiO+Gr4Rfgc9+73v/eR92j3Qvcf9wL27PbU9rL2hvZW9ij1+/XM9Z31bvVA9RL05vS79I70XPQo8/jzyvOc83HzTPMs8wry4/K68pbyc/JO8ifyA/Hi8cHxn/GC8WjxS/El8PPwv/CP8GbwQPAd7/rv2u++76Tvie9s703vLe8N7uzuzu6z7pruf+5g7kbuMu4j7hLt/e3o7dbtxO2v7ZvtjO2B7Xjtbu1m7WHtXu1e7WLtau1y7XPtce1x7Xftgu2R7aPtt+3K7djt5O307g3uL+5U7nbule627tvvA+8p70nvZ++J77Dv2PAB8C3wYPCV8Mbw8/Eh8VHxgvGx8eLyFvJI8nbypPLY8w/zQPNp847ztvPh9A/0QfRp9Gr0N/P78//0avUT9bj2RPbW9334FPhx+J34zvkj+Yf53Poe+mP6qvrm+xP7Pftq+5P7r/vF+9z77/v4/AX8H/ww/BT7xPtp+y77DPrb+oz6Ovn++cr5fPkL+Iv4FPey93L3Xvdt94X3lfei97b3xffH99v4Pvj8+db6cPqs+rP6vPrQ+tn6y/q3+q76tPrL+vL7KPtZ+3L7c/ts+3X7j/un+5X7NvqH+bf5C/iu+JT4lPiQ+If4ffhr+E34Lvgc+Bn4FPgD9+T3uveH91X3M/ck9xT28/bP9sL20fbs9w/3TPem9+r32vdw9uv2j/Zl9kv2IPXc9Yf1LPTb9I/0K/OJ8qPxnfCs8AHvvu/b8AbvyO767gHtfu2r7jjute767wjuzu4+7ZPtNe0+7VDtCOx47APr4+v17ADr++v97AfsCev76+nr2OvA66XrmOuh67PrwOvH69Lr4Ovu6/7sEuwj7CrsKews7DbsROxS7GLseuyS7KXstezK7OjtDO017WPtk+3C7fPuKu5j7pLuq+6x7qvuqe6y7sju5+8E7yDvQO9m75DvuO/i8BPwSPB68Krw3/Ed8Vzxl/HP8grySPKC8rfy8fM284LzyvQJ9Eb0ifTV9ST1cfW59gL2UPah9vD3P/eV9/T4Ufii+OT5Ifld+ZP5vPnf+gT6LPpT+nb6mvrB+un7Dfsw+1X7e/uj+8/8APw0/Gf8mPzH/Pb9JP1Q/YD9s/3o/h7+WP6V/tP/Dv9K/4z/1wAkAGwArwDxATgBhQHWAiwChALdAzQDhgPVBCMEdATFBREFVQWUBdAGCwZABm4GlQa3BtAG4AboBuwG7QbtBusG7Qb2BwcHHAc1B1IHcweWB7cH1QfvCAcIIAg8CFsIfQifCL4I1wjtCQQJHAkyCUEJTQlXCWAJZQllCV4JVQlNCUwJUwlgCXAJhwmqCdwKIAp+Cv4LjwwGDEUMWQx6DMsNOA2RDb4N0A3jDfwODA4GDesNyQ20DbYNyw3aDdENvQ22DbwNsA18DSwM4gyyDJMMdgxTDCoL/gvWC7kLpAuIC18LMwsRCv0K6wrcCtIKygq8CqgKnAqgCqsKswq3Cr0KvwqzCp4KjgqKCosKlAq2CvwLSwt6C3wLawtpC30LmQuzC9ML/gwlDD0MRgxIDE4MXQxyDIMMhwx2DFYMLwwEC9ILmAtZCycLEAsQCw8K9QrGCpgKdgpUCiEJ5Qm4Ca0JwwnrChsKSgpzCpEKowqmCpkKfgpeCjgKAwm+CYEJXglJCSQI5QipCIkIfghsCEoIKAgZCB8INAhRCG4IigiwCPQJVQm+CiMKjwsDC2ALfgtnC0wLNwr0CkcJPwgtB1QGuAZCBegFqAV4BU0FKwUaBRcFEgUHBQAE/gT3BOoE6QUFBTIFWwV6BZ8F0AX4Bf8F4wW/BagFnQWMBWYFLwT+BOME1wTGBKYEfwRhBEsEMQQMA+ADuwOnA6ADmwORA4oDlwO/A+0D/APfA6cDcwNSAz0DMQMvAzcDOwMuAxcDAgL6AwEDCgMBAtACcwIJAbkBkAF6AVkBMgEcASYBRAFfAW4BdQGEAaMB1gISAjwCNwH1AYYBCgCYADH/x/9b/vn+q/5l/g/9of0l/Kb8IfuT+wL6e/n8+Xj46fha99f3Yfby9ob2IPXA9WL1CPS19Gb0FvPL85Lza/NG8xTy2fKl8oHyZ/JR8kLyOvIx8iTyFfIB8efxyvG78cfx5fH+8g3yHvI58lHyYPJ28qny9vM18zvy+/Kb8k3yKvIS8cnxNPB77+HvhO9J7wruwO5y7hftoO0i7Nbs3O0Q7TDtG+zf7JHsLuux6y7qxeqD6lzqQuoz6jHqNOom6fnps+ln6Sfo9ejJ6KPomejD6R3pfemu6Z3pWukF6LXodehE6B3n9ufR57rnu+fF57vni+dL5x/nF+cg5xvm/+bd5svmzubd5unm6+bk5trm1ebZ5t/m2+bI5q3mlOaC5nfmduZ75nzmcuZi5l3maOZ55oDmg+aP5qnmwubQ5tjm5eb/5yPnUOeE57vn6+gS6DXoV+hy6HboW+gm5+vnv+eu57fn1egM6GPo0uk46XDpdOll6Wfpgumm6b3pyOnZ6fzqLepW6m7qiOrD6x3rauuE64TrqewB7D7sCet36wXrHeus7Ezsu+0I7V/tx+4w7pnvCe9v76vvsu+p77vv9fBH8J/w8vEx8VfxbvGQ8cHx7/IQ8jHyY/Kb8sDy0/Lx8ynzafOU863zyPPs9BP0PfRy9Kz02fT/9T31o/YQ9lv2i/bI9xz3YveB95L3wvgU+G/4y/k6+b76OPqT+uH7QPuu/A/8VvyR/NL9IP12/dH+Lf6A/s3/IP+B/+gASwCxASYBowIbAoUC6wNSA7wELQSkBRAFYQWeBeAGMQZ7BrcG9wdLB44HmAd6B3QHmQe7B8wIGwj9CjoLHws1CroKRAomCkQKcwq5Cx8LhQvFC+EL/QwrDF0Migy3DOUNCw0mDUUNcQ2cDbcNxw3bDfMOBg4QDhwOLA43DjwOSA5nDosOnQ6eDqMOuQ7WDuoO9w8JDyQPPw9VD2kPfw+VD6sPww/gD/oQDhAiEEcQhRDPERMRSxF8EacRyBHhEfwSJhJaEoUSoBKzEswS5hLyEusS3xLcEt4S2xLREtES6xMZE0QTVxNMEywTChLoEsESixJHEfIRhxD6EEsPgQ6jDbIMuQvvC6sMHw0jDj0O7g8LDsYOdQ5QDmQOnQ7UDtQOfw3uDWsNMA0uDSkNAgzSDL0MvAyuDIMMQAvlC3cLJgssC3sLpwtQCqAKJQo3CpMKwQqaClIKEgnHCV0I+gjNCLwIhAgTB6YHcwdiB0EHGAchB2gHqgeZBzkGzQaBBkgGFgYHBjcGgAaXBl0F+wWrBXQFQgUUBP4FAAT5BNkEtQSpBKcEiwRNBA8D8APoA9wDwQOgA4QDagNOAzIDFQL3AuAC1QLNArUCjwJtAlkCPwIMAdYBxwHlAgcCAQHaAcEBzQHmAecBzQG5AccB8AIYAiwCMQI2AjgCJQHuAaYBcwFqAX4BkAGOAXgBVgE0ARwBEwEZASIBJwEkAR0BFAEJAPoA5QDVAOABEAFQAXQBawFPAU8BcwGgAbwBzgHrAhICMwJGAlMCZgKAApwCugLWAu0DAQMYAzIDRANJA0wDXgN7A5ADkQOIA4UDhwOKA5EDngOvA78DxwPIA70DqgOWA48DlAOYA5cDkgORA48DiAOBA34DegNtA1oDRwM3AyMDCgLyAuAC0AK5Ap0ChgJ8An4CgQJ0AlMCOgJZAswDbwQGBH4FAQWuBlwGqwZZBXcEQwLxAaQAfv+p/zj/Ff8W/xn/E/8I/vn+4f68/o7+X/41/g394v2z/Yb9XP0w/QP82fy2/Jf8dPxO/Cr8B/vi+7b7ivtk+0T7JPr/+tj6rvqC+lX6J/n3+cb5l/lr+UL5HPj8+N/4wPif+Hr4VPgr9/z3y/ed93T3T/ct9xD2+fbf9rz2kfZm9jz2EPXi9bT1hvVW9ST09PTI9J/0cvRB9A/z3POo83jzUvMy8w7y5PK78pbydPJO8ifyBPHl8cXxovGC8WnxT/Er8Pvwx/CY8G7wSPAk8ALv4+/J77Lvl+9371TvMO8M7ujuxu6r7pXufO5f7kTuMO4g7g7t+O3k7dPtw+2w7Z7tkO2G7Xrtb+1p7WjtaO1m7WXtau1u7W3tau1s7Xbthe2V7aTtte3I7djt5e317g3uK+5O7nHulO637tzvBe8u71Pvcu+S77fv4PAK8DfwavCh8NXxBfEy8WLxkvG/8e3yH/JS8oLysPLl8x7zUPN085Pzt/Ph9A30P/Rw9IH0T/Py87vz9/Sg9XP2Ofb097D4Vvi++On5CPlA+Y752vog+mf6rvrn+xH7Ovtp+5b7uvvd/Af8MPxO/Gn8j/yx/Kz8cfwZ+8r7h/s6+t/6jvpY+iv54flw+Oz4b/gG97/3pve399j38fgG+B/4Mvg1+ED4iPkm+en6gfrI+tf63/ry+wP7B/sC+v36//sQ+zT7ZPuK+5f7l/uh+7z71/vQ+437BvpR+Z75Hvjn+Ob4+PkE+QT48vjM+Jb4Z/hS+FD4Tfg++Cf4DPfo9773n/eS94j3Zvcv9vr20Pat9pv2u/cY93/3p/d59yb26vbS9sn2vva29rP2rPaU9l317fUo9BLy0vGd8KLwB+/U78zvfu6y7a3s/+z17V/t5e5Q7oTuY+3r7XHtYO237fXtpezk7DLr5Ove6+Pr3OvZ69nrzuu265jrdetK6yLrEesd6zjrVut766Xrx+vV69rr5ev27APsCewR7CPsN+xJ7FzsdeyR7Kvsxezk7QntMe1a7YXtse3f7hLuSe5/7qbute6v7p/uke6U7q7u2O8B7yDvPO9f74nvs+/b8AfwOPBp8JbwxvD/8T/xfPG08eryHvJS8ofyxPMM81rzpfPp9Cv0cvTA9Q/1WvWe9eT2L/Z+9sv3F/ds98z4Kvh6+Lr49Pks+V75hfmp+dH5/fol+kn6cPqa+sP65vsH+yn7Tfty+5v7y/wA/DP8YPyN/Lv87P0e/VH9g/23/e7+Kv5q/qj+4f8c/2D/rP/4AD8AgADCAQkBVQGnAf8CXAK5AxQDaQO5BAoEXgSyBQEFSAWHBcYGAwY7BmsGlQa5BtUG5wbyBvoG/wcBBwIHBQcOBx8HNQdRB3EHkgezB9IH7wgKCCMIPwheCH8Ingi4CNAI5gj9CRcJNAlPCWMJcAl1CXkJfgmACXwJdAltCWwJcQl6CYUJmQm/Cf0KTgqzCywLqwwQDEMMUAxlDKAM9Q0/DWwNiQ2pDcYNzg24DZANag1ZDWUNhQ2fDaMNlw2PDYwNeg1HDP4MvAyRDHYMWQwxC/4LyQueC4ILaQtFCxUK6wrRCsEKsQqkCqIKqQqoCp0KlAqZCqgKtQq8CsAKwAq2CqcKnwqfCqEKrQrUCxsLaguaC6ALlQuPC5YLoQuzC+sMGww8DEoMUAxVDF0MaQx5DIcMhAxrDEUMGgvsC7ULcgstCvUK1QrNCskKtQqLClsKMQoLCdwJpQl7CXEJjQnDCf8KMQpTCmsKfgqJCoQKbgpRCjIKBgnFCYAJTAkrCQQIzAiRCGsIVwhCCCQICAf7B/wICQgfCD4IYQiMCMYJCglPCZgJ/Ap5CuILCQr2CtwKyQqKCeQI5QfeBxAGfQYOBbUFcgU+BRIE8ATgBOAE5ATpBPEE9gTvBN8E4AUABTIFXQV6BZQFsgXJBcoFtQWZBYgFhAV+BWMFMwT+BNoEyAS3BJkEdARTBDkEHAP4A9IDtAOiA5cDigN5A3ADgwO4A/EEAwPeA5sDXgM3Ax4DDQMHAwcDAALtAtgCzwLWAuUC8wLuAr8CYAHrAY4BYQFTAUIBJAEGAPsBCAEgATIBMwEqATABYQG5AhACLgH4AYIA+QCBABr/tP9J/uT+lP5P/fz9jP0G/Hn77Ptb+sn6QPnB+UP4wPhA98v3X/bz9ob2HfW79Vv0/vSp9F70GPPW85zzbfND8xby5PKz8oryavJS8kPyOfIs8hzyCvH28dvxvvGv8brx1/Hy8gbyHPI48lLyaPKH8rvy9/MV8v3ysvJX8g7x4fG08VzwyfAf75fvQu7/7qLuK+207VDtAOzI7Ljsz+zq7ObsvuyH7Err+uuV6y/q2+qa6mDqL+oV6hfqIOoT6eLpl+lI6QHovehz6CnoAugh6ITo9+k46Svo5OiI6DTn7ue354jnYOdE50DnUedf503nGObh5sjmz+bY5srmquaO5obmjeaY5qHmouaa5ormfOZ35nXmbeZb5kbmNuYp5hzmFOYV5hnmF+YP5g/mIOY35kXmTeZf5n/moOaw5q/msObD5u7nLOdx56/n2Oft5/noC+gd6Bvn+ue/54TnZOdm54Pnr+ft6ETorOkF6TLpMuko6TLpV+mF6avpyunr6hbqRups6oPqmOrI6xfrX+t363Hri+vh7DPsI+ur6zDrJ+uc7D/swe0Y7WXtvO4c7ofu/e9o76bvsO+q78LwBPBY8Kvw9fEx8VbxafF/8avx4/Ia8krye/Kp8sfy2/L88znzg/O+8+Lz+/QT9DD0WfSP9MX07/Ua9Wr14vZS9pD2rPbY9yX3bPeS96735vg5+JP48flo+fT6cvrL+xX7b/vW/DD8dPy2/QH9Uv2j/fz+W/61/wT/V/+9AC8AnQEFAXIB5gJUArYDEQNvA9YESgTDBS4FfAW3BfwGUwanBukHMQeNB90H7gfMB7UHxQfbB+sIQQktCnwLdQuUCwkKdgpECmgKqgr8C14Luwv1DA8MKgxaDJUMyAzvDQ4NKQ1CDWINiA2qDcMN2Q3zDgwOHA4nDjcOSA5UDl4OcQ6PDqkOsw63DsYO4Q77DwkPFQ8nDz4PVQ9qD4EPmA+qD7sP1A/1EBIQJBA5EGYQrxD+ET8RbxGaEcQR5BH3Eg0SNRJsEpoSsBK6EswS6RL9EvwS7hLnEusS7hLoEuQS9RMiE1gTeBN0E1UTMBMOEuYSrRJlEhkRxhFcEM8QJA9fDnoNdgyDDAAMOg0ZDiQO1A78DtMOqw6wDuAPLQ98D5oPTQ6cDd4NdA1kDWcNQQ0ADNEMtwyVDF4MHwveC4wLNQsLCyALNgr8CoMKPAp2CvkLSgsoCrcKNAmzCTIIxgiHCGwITwgZB9YHlgdVBxsHFAdkB+wISggxB7EHGwasBmgGPgY9BngG0gcBBtQGZQX1BacFcwVQBUUFTwVMBSQE5wS7BK0EnwR3BEQEJQQdBBQD9QPGA58DiQN7A2cDRwMlAxEDCgL7AtkCtQKqArQCogJaAf8B2gH7AiwCKwH6AdEB0gHoAe0B3gHYAfECGwI8AkYCQwI+AjUCGgHrAbMBigF5AXwBiQGTAZABeQFXAT0BOQFIAVgBXQFXAUwBQAE2ASoBGgEJAQoBKgFeAYMBgQFpAWQBhAG1AdwB9gIOAikCQgJZAnYCmgLBAuAC9AL8AwEDDwMvA1YDbgNzA3gDjwOrA7MDogOPA4wDkgORA4wDjwOcA6oDsAOvA6gDnAOQA40DkwOXA5IDiAOCA4ADfgN4A3IDawNdA0wDPAMvAyMDFwMMAwEC9QLoAtoCygKzApsCiQJ7AmICPgIqAj4CeQLGAycDuwSLBW4GIQZzBlIFtASPAwQBaAAh/2D/FP8F/wX/AP74/u7+3/7D/pv+bf5D/hv98f3E/Zn9cf1I/Rv88fzN/K78jPxn/EL8Hfv1+8r7oft/+2D7QPsc+vT6yfqb+mr6OvoK+dz5rvmC+Vn5MfkN+O34zPio+IL4Xfg2+Aj31ven9373Wvc59x33Bfbr9sf2nfZ09k32JPX29cf1mPVn9TL0//TU9K70hvRZ9Cnz9vPA843zY/M+8xby6PK88pfydPJN8ibyBfHo8cjxovGA8WXxTPEq8P3wy/Cc8HPwTPAn8AXv5+/P77jvnO9671PvL+8L7ufuxe6p7pPufe5j7knuNe4l7hHt++3n7dbtxO2v7Z3tku2J7X3tcu1u7XDtce1s7WbtZe1l7WTtYu1o7Xftiu2b7artue3K7dnt6e387hXuMu5Q7nLulu677t/vBu8v71fvee+Z77zv5/AU8ETwePCv8OPxEvFB8XbxqfHX8gHyL/Jh8pDyvPLt8yPzU/N285TzuvPk9An0M/Ro9I/0d/QZ88Hz0fRr9Vb2RPca9+D4jPkD+Tz5Wfl9+bP57foo+mr6rPrj+wz7NPtl+5r7zfwB/Dz8dPye/L/85P0N/SH9DfzW/Ir8K/u2+zz64Pqv+oz6SPnT+UD4svhB9//38fgL+DP4U/hv+I74qPix+Lf46Plg+gP6kPre+vf7AfsR+yj7PftK+077TftV+3D7mPu4+8n71vvs/Aj8CvvX+2j6zvos+aX5U/k5+Ub5Yvl4+Xv5X/ki+Nj4pPiV+Jr4mfiK+Hr4cPhh+Eb4KfgX+Af34/en92T3JPbi9qn2nPbP9yD3VPdS9zf3Kvcs9yr3Jvc091j3hPei95n3SvaZ9Yr0RPLw8a7wpu/776PvUO667eztRe0I7SbtaO2h7bLthO0n7O/tKu227gntw+0P7GjsCuvY66jrfetn61rrPesN6tjqoupn6jDqEeoW6jjqc+rF6x3rWetn613rXOty65Prs+vV6/nsF+wt7ELsX+yE7Kzs1u0G7TntZu2K7arty+3z7iXuW+6K7qPuo+6S7nzua+5s7ojuu+7x7xrvOe9e74vvue/h8AXwLPBU8HrwpfDa8RrxW/GY8c3x/fIu8mPyoPLl8yzzcvO39AD0TPSd9O71OvWB9cb2D/ZZ9qL27fdD96L3//hL+Ir4xPj7+Sr5Tflu+Zj5xvnx+hn6Qfps+pT6uPrb+wH7KPtN+3P7ovvU/AT8LfxV/IH8tPzr/SD9VP2H/b79+v45/nb+sP7t/zL/fP/FAAkASgCPANcBJAF3AdICMQKRAu0DRQOZA+0EQgSXBOgFMQVzBbQF8QYpBlsGhwauBs4G5AbzBwAHCgcRBxYHHgcqBzwHVQdzB5UHtwfXB/UIEwgxCEwIaQiICKgIwQjUCOQI+AkPCSsJTAluCYsJnQmiCaIJoQmgCZ0JlgmSCZIJlwmdCaMJtAnaChYKZgrFCzULrAwODEUMUwxdDIEMuwz0DRwNOw1bDXYNfA1nDUINJA0bDS4NUw1yDXwNdA1qDWINTg0iDOQMqAx9DF0MPQwRC9sLpQt8C14LPgsRCt8KuQqmCpsKiwp/CoMKkAqXCpEKjAqSCqAKrAq0CrkKuAquCp8KlgqWCp0KsQrfCygLcgumC7sLvwu6C7ALrQvADBkMTgxeDFcMUgxWDFwMYgxtDHUMaAxADAwL2gusC3gLPQsBCs4KqwqZCo8KfQpZCikJ/AnXCbIJhAlZCUsJaQmsCfgKMQpQCmEKcQp+CnoKYwpECigKBAnKCYEJQQkWCPEIwQiNCGMIRwguCBIH+AfmB90H3wfvCA0INQhiCJIIvwjiCQkJTwm2ChQKPQo5CjYKOAoGCWgIcwd6Br0GPAXZBYIFPAUIBOIEyAS7BLkEvgTLBN4E6gTjBNQE2AT8BS8FWAVsBXcFgQWJBYoFggV1BWoFZwVmBVkFNQUDBNUEtwShBIcEZgRFBCUEBQPlA8kDsgOcA4gDdQNkA1sDawOVA8ADyQOjA2YDNQMXAv8C5wLVAsoCvgKtAqECpQK3As8C4QLeArACTQHRAWkBNwEuASwBGwD6ANoAzQDYAPAA+gDsANwA8gE/AaMB4gHRAXIA7QBp//r/mf85/tn+gP4x/dn9aPzd/Er7uvsu+qL6Hfmi+Sz4tPg898v3YPb39oz2IvW+9V30/vSo9F70HvPj86jzcvNC8xjy7/LH8qLygfJp8lfyRfIt8hLx+vHm8c/xuPGr8bLxx/He8fbyFPI38lnyfPKp8t3y/fLv8rLyXPII8cLxh/FI8OvwaO/Y72XvFu7D7kPtou0T7MDsqey17Mrs1uzL7Kbsd+xL7B7r4OuO6zvq7uqj6lrqIuoP6h3qKeoX6d/pj+k76OzonOhA597nm+em6AHoeOjE6MDof+gp59nnledY5yDm8ebV5tbm6uby5tTmmuZv5m7mhuaQ5nvmWOZE5kTmTOZP5k/mS+ZC5jLmIeYV5gzl/+Xt5d/l1eXJ5bnlreWv5brlwOXC5cvl4uX+5hTmKOZI5nLmkuaY5ovmheaa5s3nFOde55rnuOe757Pnsee256/nkOde5zLnIect50fnaued5+voSOiV6Lvov+i/6NHo9ekj6VXpiunA6fTqI+pI6mfqierA6w3rUutt62freuvJ7CvsSewC65frcuu47Djsru0I7Vvtu+4k7o/u+O9S743vp++47+LwJ/By8LPw6vEf8UnxZPF+8ajx5vIm8lvyhfKo8sfy5/MT81Tzn/Ph9A30KfQ+9Fb0e/Sv9OT1EPVC9Zb2CfZr9pn2qfbQ9x33a/ee98r4D/hr+Mn5Kvmf+iX6mvrv+zn7kvvx/EH8gvzL/SP9f/3X/jb+m/76/0v/ngADAHMA3QE+AaMCCwJtAscDIgOHA/IEXwTOBTQFhgXJBhAGaAa/BwwHWwe5CAsIKAgSB/4IBwgWCCQIeAldCqULowvSC1IKugp9Cp4K7AtFC6ML9AwlDD0MWAyKDMgM/Q0iDToNTw1oDYYNpg3FDeEN/Q4YDiwOPA5NDmIOcw58DoUOmQ6yDsUOzw7cDvQPDg8dDyYPNA9JD14Pbg+BD5oPsg/CD9EP6xANECcQNhBPEIgQ3BEvEWkRkBG1Ed0R/BIMEhwSQRJ4EqcSvBLBEs8S7BMHEw0TAxL7EwATBhMBEvgTBRMzE3ATmBOSE24TShMwExAS1xKMEkIR/RGlESMQew+4DtoN2gzaDDIMMgzVDbcOZw7EDvoPMw9oD4QPnA/VEBoQDw98DqIOBg3hDe8NzQ1qDQAMvAyYDH8MbAxRDA8Lows+CxELCQroCp0KbAqbCxILcAtmCvQKVQm/CUgI8QitCHYISwgsCAwH2QeZB3YHpAgeCJwIwQhtB9MHSQb8BtkGwga6Bt4HJgdSByAGnAYOBbUFjQV3BWkFaQVpBU4FFQTgBMkEvwSjBHcEVQRKBD8EHQPqA8EDrwOlA5ADcANUA0QDMQMHAs4CsALKAvwC+gKiAioB7gIJAj8CRwIfAfoB+AIDAfwB6AHrAhECRQJnAmwCWwJAAiECAAHhAckBtQGjAZYBlgGhAagBmwF9AWcBaQF9AZABlwGSAYcBeAFoAVwBUQFCATUBPAFdAYIBkQGHAYIBlgHBAe8CEgIoAjcCSgJsAp0C1gMEAyADJQMaAw0DFgNAA3cDmQObA5cDogOvA6cDjQOCA5MDqgOsA5wDjgOOA5MDkwORA48DiQOAA3oDewN+A3sDdANxA3QDdwN1A28DZgNaA0wDPwM1Ay8DKgMlAxsDDwMHAwQC/ALfArYClAKDAnQCWAI0AhkCEAIdAkwCrgNHBAgE5wXcBrMHAAZgBNkC5wEr//7/X/8b/wP++f7y/un+3P7G/qP+ef5O/ij9//3U/ar9hP1e/TT9C/zn/Mb8o/x+/Fj8MfwH+9z7tvuX+3n7Wfs1+w765Pq0+oH6T/of+fH5xPma+XH5Svkk+QD43Pi1+I34Z/hB+BT34fex94j3ZPdC9yX3D/b29tP2qfaB9lz2NfYH9df1pfVx9Tv1CvTg9Lz0lfRr9D/0D/Pb86fzefNO8x/y7PK+8pnydvJP8ijyB/Hq8cjxoPF68V7xQ/Eh8PbwyPCc8HPwTfAo8AXv5u/L77Pvl+9171DvLu8P7u/uzu6y7pvuhe5t7lXuQu4v7hnuAu3w7eHtze217aDtlO2M7YDtde1x7XTtc+1s7WTtYe1i7WHtYu1q7Xztj+2h7bHtw+3T7eHt8e4H7iPuP+5a7nnune7B7uTvB+8v71jvfO+d78Lv7vAe8E/wgfC18OfxFvFI8YDxuPHm8g3yN/Jn8pbyv/Lr8x3zTfNz85nzxvPz9BL0LPRZ9I/0mPRU8/nz7vRw9Vf2Ufcw9/T4n/kj+XX5pvnQ+fv6IvpJ+nz6vPr6+yn7UvuD+8H8BfxM/JH8zPz1/Q39JP1F/Wr9hP2C/Vb8+/x4++77hftL+yD61fpQ+aL49fh0+Dj4Pfho+Jf4ufjX+Pv5Hvkx+Tr5Wvmt+ib6m/rq+xP7Kfs/+1n7dPuJ+5P7lfub+6/7zfvr/Af8J/xH/FD8KPvE+zb6n/od+cX5nPma+bD5zfnj+d/5tvlq+Rn45vjc+OT43vjI+LX4sviy+KL4hvhu+Fv4Rfgk+AD31/ei92L3M/cr9zz3Rfc79zP3Ovc/9yz3B/bu9vX3HPdR93n3Zfbs9g707vOx8mzxQfBr8Ajv6e+170HusO497frt1u257Y/tR+z37NztGu197Z3tUuzT7GnsD+uY6wXqj+pV6jbp/+mu6V/pH+jj6KzojeiT6L/pEOl+6fLqQepa6lfqYeqH6sHrA+tM65br0+v/7CXsUOyB7LTs7e0t7W3tn+2+7dPt5+4C7inuVu547oDub+5V7j/uNe467lnuj+7P7wbvMu9e74/vwO/n8ATwHfA58Fjwf/Cv8OrxK/Fr8aTx2PIL8kTyhPLF8wTzQfOD88z0G/Rr9Lz1DfVb9aX17PYy9nj2xvce93331Pgc+Fr4l/jR+P75Hfk6+WD5jvm7+eb6Efo7+mD6gvqn+tP6/vsl+037evur+9n8APwn/FP8hfy6/O/9I/1X/Y39xv4C/j/+fP6+/wX/TP+P/88AEgBaAKQA9AFKAakCCgJpAsQDHQN1A8sEIQR1BMcFEwVaBZ0F2wYSBkMGbwaZBrwG1wbrBvsHCgcXByMHMAdAB1QHbQeOB7MH2Af5CBoIOwhcCHoIlgiyCM4I5Qj1CQMJFgktCUkJawmRCbQJygnRCc8JzAnHCb8JuAm1CbcJvAm/CcUJ1An0CiUKZAqxCxILgwvtDDUMUQxaDG4MlwzJDPANDA0jDTYNPQ00DSINEQ0ODR4NOQ1PDVMNRw04DSsNGQz2DMUMkwxoDEUMIAv0C8ELkQttC08LKgr6CsgKpgqWCosKfgp2CnoKhAqJCoUKgwqKCpQKnQqlCq4KrgqgCosKewp3CoAKnArQCxULWAuOC7YLzQvMC7oLtQvZDEgMewx2DFcMRwxJDE0MTgxTDFMMOgv/C7kLfgtSCygK+wrPCqkKhgprClYKQgohCfUJzQmyCZgJcglGCTIJUQmdCfUKOApaCmkKdQp8CnUKWgo7CiAJ/wnKCYIJPwkPCOsIwwiUCGoISggtCA4H7gfRB7wHtgfCB98IAwgpCE0Iagh5CIYIqwjsCS0JTglXCWkJfAlXCMoH7gcRBm0F/gWjBVAFCgTaBL4ErQSjBJ8EpgS6BNUE4wTbBM0E1QT9BTAFVQViBV8FVgVOBUwFTgVOBUgFRQVIBUgFMwUFBM8EowSGBG8EVgQ2BBID7QPQA7oDpQOLA3ADXgNUA04DUQNhA3ADagNJAyADBQLzAtoCtwKZAocCfgJ4AnwCjgKpAsMC0wLMApoCNwG6AVABFgEJAQ0BCQDuAMQAoACYAKwAwAC8AKQAmwC8AQMBTgF0AVoA/QB6//j/jf8w/s/+Z/4D/aL9NPyw/CH7lvsT+pH6Evmb+Sz4vPhH99L3Zfb99pX2LPXH9Wj1DvS49G30K/Pv87XzfvNN8yPy/vLc8rzyn/KH8m/yVPIy8hDx9PHf8cvxufGw8bPxvvHM8eLyAvIq8lTyh/LG8v3zCvLa8oHyJPHR8YTxN/Dm8IvwHu+t71DvB+6o7g7tT+y07HXsiuy87Nvs1eyx7IDsUuwq6/3rv+t26y7q6Oqf6lrqMeou6j7qQOoe6d3piukz6NzogugZ56XnSuc654Xn/OhW6GfoNufn55XnS+cK5s3mmOZ35nbmi+aR5mjmIuX05f3mJeY75ijmBuXy5fDl8OXp5d7l1eXM5b/lsuWn5ZvljOV+5Xblc+Vo5VflSeVJ5VblZuV45ZDlreXH5d7mAOY15m3mi+aG5nPmcuaP5sPm/+c352DncOdn51XnTOdL50XnLucK5u7m5ebp5u7m+OcY51rnsOf46B/oLeg26EnoZOiJ6L/pBulP6YzpuOng6g3qReqM6t/rKetT61/rduu+7Cfsbuxm7Cbr9ewB7D7sh+zS7TPtsO417qXu9u8y72PvkO/D8ALwR/CC8Kvwz/D98THxX/GG8bbx9fI18mfyifKq8tXzCvNE84Hzv/P59Cn0TvRo9ID0o/TU9Qr1PfV39cr2MPaB9qX2tPbb9yb3dfez9/D4SPi1+R/5gvnr+lv6vfsN+1v7tvwS/F38nvzt/U79s/4V/nr+4/9E/5r/8ABRALQBDAFgAboCGAJvAsUDKgOfBBEEcgTNBSwFiQXaBicGfAbXBy0HggfaCCgIUAhUCE8IVAhZCGgIwwmgCtILxAwAC5sLEwrUCu0LNwuOC+IMKAxWDHEMjwy7DPINKA1UDXYNkQ2pDcEN2w32DhIOLA4/Dk8OYg5+DpsOrA6wDrUOxQ7ZDucO8w8HDx8PMA81Dz0PUg9sD4APjQ+hD7wP0w/iD/MQDxAuEEAQTBBrELARCRFWEYURohHCEecSBxIZEiwSURKFErMSyBLOEt0S+hMWEx0TExMKEw8TGBMTEwcTDBM2E3YToBOcE3cTWBNMEzwTDBLBEncSNRHhEV0Qpw/UDuoN5wzlDC0MCAx6DTYN7A6KDyoPwhAQD+sPmA+TD/gQURAWD1UOog5tDoYObw3yDVIM6QzODOMM/wz/DMEMQQuvC00LJgsOCt4KqwqrCusLOQtICvwKeQoCCb0JkQlOCOUIfwhFCC0IFggBCBgIdAjkCQ4IxAgrB58HYwd2B5kHjwdZBy0HLgczBvYGcQXuBbQFtwW4BZoFdgVnBV4FQwUjBRQFEwUBBNYEqQSMBHEERgQSA+4D3QPLA64DkQODA3kDUwMGArkCpALZAxwDGgK9AksCGwI6AmoCawJGAisCLAIvAh0CBQIJAjMCaQKLAo0CdAJKAhsB9gHnAegB5gHVAb4BtQG9AcYBugGhAZABlgGqAbwBxgHLAckBuwGmAZcBjgGCAW4BYQFuAZIBsgG8AbgBvQHYAgACJgI9AkwCYQKOAs0DCgMzA0MDQQMzAykDOANoA6ADtwOkA4gDgQOGA34DbwN1A5sDwwPKA7QDnAOSA4sDgQN4A3UDcANlA1kDVQNZA10DXwNiA2cDbANsA2kDYwNbA1IDSAM/AzkDNgMwAyMDEgMHAwYDBALzAtQCuQKmApQCdwJTAjMCGQIJAg4CKwJlAtUDvAVCBxcIawh1BxME3AKiAO3/2v9I/w3+/P71/ur+2/7G/qj+gP5W/jD+Cf3g/bf9kv1u/Uf9IPz8/Nn8tPyN/Gf8Q/wb+/P70Puy+5T7cftL+yX6+/rM+pn6Z/o3+gf52fmw+Yn5Y/k8+Rj48/jK+J/4dvhO+CH37/e/95b3cfdM9y33FvcA9t/2tfaM9mf2QfYV9eP1r/V69UX1FfTu9Mr0pPR79FD0JPPy87/zjvNe8yny8vLB8pzyevJU8i3yDPHt8cjxn/F48VnxO/EX8O3wxPCd8HfwUfAr8Ajv5+/K77DvlO9y71DvMu8Y7v3u3u7B7qjukO557mPuTu447h7uB+337evt2O2/7antmu2P7YPtee117Xbtc+1r7WXtZe1p7Wrtbe127Ybtl+2n7brt0O3k7fLuAO4W7jPuT+5o7oPupe7K7u3vDu8z71vvge+l78zv+vAp8Fbwg/C18OjxGfFL8YHxt/Hl8gzyNfJl8pTyvvLp8xnzSPNy857z1fQJ9Cf0NvRU9In0p/SE9Dv0JfSG9U72OfcW99r4iPkV+Xz5yvoK+jv6Vvpp+o760fsg+2D7jvu9+/z8SfyY/N79GP1C/Vr9aP1//az95f4N/gn90v1z/QL8lvw4+9/7cvrb+hn5Uvi5+HT4gPi3+PD5Gvk8+WP5jPms+cL54foZ+mj6u/r++y/7VPtz+4/7qfu/+9D73vvu+/78D/wl/Ej8dvyW/Ib8M/uq+w76hfoj+e/54/n0+hH6LPo3+iX57vmg+Vf5L/ks+TP5LPkT+Pv48vjw+OH4wvig+In4gPh++ID4e/hl+Dn4BPfV96r3efdJ9yz3IvcL9sn2YfX29a/1ovXK9gn2IvXj9Uj0e/Of8sHx9fFw8Vnxj/G28YjxC/B17+/vhe8x7t3ue+4W7dHttO2V7UDsxuxg7BTrnerG6cTpBeis6HnoJeex507nD+bj5sPmu+bY5xbnbefZ6Evopujc6P7pJ+le6aHp9eph6tvrTuut6/zsReyH7MTtBO1L7Y/twe3f7fDt/e4J7hruL+4/7jvuI+4I7fvt/+4S7jTuau6v7vPvLO9e74/vvu/k7/3wD/Ai8D3wYPCK8Lvw9PEy8XDxqvHj8iHyZ/Kr8ubzHvNb86Hz7PQ49If02/Uv9X71xfYJ9lD2ovb991n3qvft+Cv4avil+ND47fkI+Sz5WPmG+bX55PoP+jP6Ufp0+p/6zfr2+yD7Tvt++6z71vwA/C78X/yQ/MD88v0k/Vn9kP3K/gf+Sv6R/tn/Hf9c/5v/4QArAHcAygElAYgB6gJEApwC9ANPA6cD+wROBKAE7wU6BYAFwQX5BikGVgZ/BqQGwQbYBu0HAAcRByIHNAdIB14HegeeB8cH8AgUCDgIXgiDCKMIvgjYCPEJBgkXCScJOwlUCXMJlwm+CeAJ9An8CfwJ+QnyCecJ3QnaCdwJ3gnfCeMJ8AoHCigKUQqGCtALMgufC/sMMQxIDF0MhQy8DO0NDA0aDSMNLA0xDS4NJQ0cDRwNIA0iDRcNAwzvDOAM0Qy5DJgMcgxPDC0MBgvYC6YLewtcC0ELHwrzCscKpwqVCocKfQp4CnkKegp1CnAKcgp5Cn4KgwqOCp0KnwqPCnUKXwpXCmAKfwqzCu8LJgtZC44Ltgu/C7ALuAv0DF8MgQxlDDsMLQw2DDoMNww2DDEMDAvBC2wLLAsCCuAKvQqfCoIKYQo9Ch4KAwnkCb8JogmSCYAJXAkvCR0JQQmTCfMKPwpsCoEKhwqBCm0KUQo0ChsJ/AnJCYYJRgkXCPIIywidCHIITwguCAgH3Qe0B5UHiweWB68HygfhB/YICAgQCBQIJAhGCGgIeAiACJUIrAiSCCEHcQa/BjYFzwV3BSUE5QS9BKYElwSNBIsElgSxBM8E3QTVBMsE2AUBBTEFUgVcBVEFOwUkBRoFHgUkBSUFJgUwBTgFKgT9BMEEjQRqBFQEPgQgA/gDzgOwA5wDiQNuA1UDSQNHA0IDOAMuAyUDFQL9AucC2wLMAqwCfgJXAkQCQgJKAlwCeQKZArICvAKtAncCFgGiATsA+wDiAOIA5wDbALgAiwBvAHAAfwCCAHQAXABNAFsAlQDvATQBJQC5ACL/nv84/tH+V/3Z/Wn9APyL/Aj7h/sN+pX6Gvmm+Tr4zfhZ9+L3cfcK9qP2OfXU9Xn1JvTW9In0QfP+88LzjfNh8zvzGfL38tfyu/Kg8oPyYPI88hzyAfHp8dHxv/G38bjxufG88cjx4/IK8jryefLG8wTzDPLT8nTyE/G48Vnw9PCV8D/v6u+W71DvD+6p7f/tM+yW7GXsiuzA7NLsuuyO7GLsN+wI687rietH6w7q1+qc6mjqTupP6lHqOeoE6cDpdOkf6MPoX+fs52vm+ebM5v/ndOfi6BPn++ew51Dm9ear5m/mPOYa5h3mPeZO5iLlxuV+5Xrlq+XU5dPlteWb5Y3lgeVw5V7lT+VC5TflMOUs5SXlHOUW5RjlHOUU5QDk7OTi5Obk++Ug5U3lb+V+5Y3luuYF5k3mbeZn5l7mb+aY5sPm5Ob65wnnDOcA5vLm7Obs5uPmyOam5o7mhuaC5nfmceaG5sHnEedY54Xnnueu573nzOfo6B/ocejG6QfpMelW6YfpyOoW6mvqwOsH6zrra+u07BrsfOyu7KPsd+xU7EzsYeya7QXtnu4/7rbu8u8Q7zTvcO+98A3wUfCA8Jzwt/Di8R7xWvGO8cTyBfJJ8nzynvLC8vrzQvOH873z6vQY9Ej0dPSU9Kz0yPTx9Sb1YPWk9fr2Wvan9s724vcJ9033mvff+Cz4lfkR+YT55Po7+pH64/sy+4n76vxH/JL81v0m/Yb97f5T/rz/Jf+G/+IAQQCgAPMBOAF+AdICKAJ2AskDOgO/BDMEhwTPBSkFkgXzBkcGnQb+B2AHtwgFCEsIfwiWCJgIkwiXCMEJPwolCzgMAww0C98LawsvC0ELggvPDBUMUwyHDLAM0wz2DSENVQ2NDb4N3w30DgYOGw4zDkwOYA5tDnkOkA6zDtQO5Q7oDu0O+g8IDxAPGw8tD0EPSg9OD1sPdg+RD6IPrw/FD+EP9hAFEBoQORBTEF4QaxCUEN8RMxFxEZMRqxHJEe0SDRInEkMSbBKbEsAS0hLbEu0TDBMnEy0TIBMUExgTIhMgExATDRMtE2kTmBObE30TYxNfE1sTNhLwEqMSXBIIEYYQzw/xDvoN8QzxDDUL+wxJDOYNlw5TDyUP5RAwD9QPLA7qD1cP/hAjD54O9w68DtwO1Q5eDbUNRQ01DVsNfg14DTYMuAwhC6cLaAtLCyUK6wq8CroK3wr2CtMKhQpHCj8KRAoKCXoI1whtCEkIRghaCJ8JCQlMCRcIcwe/B2AHfgfpCEQIPgfSB0sG9wbQBpQGLAXaBeUGLQZPBhkFvQWEBXkFfAWBBZIFpwWkBXkFOQT7BL4EfQRFBCYEFAP3A9ADtwO2A60DdAMTAsgCyAMCAywDCgKwAmoCbAKgAr0CowJxAlgCXwJmAlYCQAJBAl4CggKaAp0CiwJmAjgCFQIKAhACDwH9AeQB2wHiAecB2wHFAbkBvwHMAdYB3wHvAfsB9wHkAdMBywHCAa8BmwGgAcIB7AIFAgYCAAIFAhwCPAJZAnMClQLKAwcDNgNKA0wDSwNMA1QDbwOfA8YDvwOKA1gDUANrA4MDjgOdA7wD0wPNA7IDnAOSA4gDdgNmA14DWgNQA0QDPwNFA00DUgNTA1QDVANUA1MDUANKA0IDOgMzAzADLwMtAyMDFAMFAv4C/QL5AvIC6ALWAroClwJ7AmgCVQJAAisCFgICAisDDAT4B4gJnQoiCNUGYQPAAZ0ALv9k/xT/A/78/u7+2/7I/q3+h/5d/jX+D/3l/bz9l/10/U/9Kf0H/OX8v/yY/HX8Vfwy/A777PvO+677iftg+zn7Dvrf+q/6gPpQ+iD58fnJ+aP5fPlV+TL5D/jl+LX4h/hc+C/3/vfQ96j3gvda9zf3HfcH9uf2vvaU9m/2SvYe9e71vPWJ9VX1JvT/9Nv0tPSL9GH0NPQD89DzoPNv8zfy+/LH8p/yffJZ8jPyEfHx8cvxovF88VvxOfES8Ovwx/Cl8IDwWfAz8BDv8O/T77jvmu9471XvOO8h7wju7e7Q7rXune6G7nHuW+5C7iTuC+367e7t3u3I7bPto+2V7Yjtfu187Xrtdu1v7Wztce147Xvtf+2H7ZTtoe2u7cHt3O307gTuEe4l7kHuXe507o7ur+7V7vnvGu8972Tvi++x79rwCPA18FzwhfC38O/xJPFT8YHxsfHh8g3yOvJp8pfywvLv8x/zTPNy85vz1fQT9Dv0TfRi9Iv0rfSi9HD0VvSO9SH16/bF95n4U/jm+VT5rfn8+jT6S/pR+nD6vPsi+3r7tPvh/Bf8W/yj/On9L/1y/aP9wf3d/g3+SP5z/n3+b/5T/h79uP0g/Hb71vs5+or5yvkk+Mf4wPjz+Tb5cPme+cf58foc+kb6cPqd+sz6+vsl+0/7d/ub+7r71Pvs/Af8J/xF/Fj8Yfxu/JH8wPzU/Kf8MfuS+vj6gfo6+h/6J/pC+mH6dPpt+kb6BvnB+Y/5fPmA+Yv5iPl0+Vn5Rvk9+TD5Efjj+Lf4m/iR+JH4kPiG+G74SPgU99D3gfc49wb24/at9kT1qPT+9HX0MvQ39Gb0hfRq9BvzwvN58z7zD/MF8zvzmPPY88bzZPLe8lvx7/GV8TfwvPAl74vu9O5J7YLsw+w067Pq4Omh6FTnducT5s7mWOXI5V3lK+UX5RTlMuV55dfmOOaZ5v7nX+eu5+3oHuhH6HLoueky6dLqfOsU65fsBuxg7Kzs9e1A7YPts+3T7e3t/+4C7fnt7+3q7eHtz+2/7cHt1+357iPuWu6f7unvK+9e74jvsO/V7/HwBPAW8C/wUfB48J/wzfEG8UTxgPG58fjyQPKK8srzBPM/84HzyPQR9F/0svUG9VL1l/Xd9iv2gvbe9zT3fve99/r4OPhu+Jb4svjQ+Pf5JPlT+YP5tvnk+gj6JvpH+m/6mvrF+vL7IftR+3/7qvvY/An8OPxm/JP8wvz0/Sj9Xf2W/db+HP5m/q7+8P8u/3D/uQAFAFQAqQEIAW0BywIhAnQCzAMnA38D0gQjBHUExgUTBVsFngXaBg4GOwZjBoUGowa+BtcG7gcCBxYHKwdEB2AHgQeoB9UIAQgoCE4IdwigCMMI3wj4CQ4JIwk1CUYJWgl2CZoJxgnxChEKIAokCiQKIwodChEKBgoBCgEKAAn/CgAKBwoTCiUKOwpaCocKzAstC5YL7AwhDEYMdgy5DPoNIg0xDTgNRQ1VDVkNSw0wDRQM/AzkDMoMsAycDJEMiQx7DGcMTww3DBoL8gu+C4gLXQtBCysLDwrsCskKrAqWCoQKeQp1CnIKaApbClQKWApdClwKXwpwCoUKiwp8CmQKUQpKClIKbwqeCtAK+gsmC10LkQunC6cLwQwLDFQMVgwqDAYMCwwjDCoMIgwaDA4L4QuOCzQK8grKCqoKiwpyCloKOgoTCe4JzwmxCZQJggl5CWcJQAkXCQ8JPgmXCfsKUwqTCrQKsgqUCmsKRgoqChQJ9AnFCYoJUgkkCPoIywiZCGwIRwgjB/cHwgeOB2kHXAdmB3sHjAeUB5gHngejB6oHtgfHB9IH0AfLB9UH4gfQB4IHBwaDBhAFrAVSBQUE0ASuBJcEhQR4BHcEhQShBL0EyQTGBMYE2QT/BScFQQVJBT4FIwUDBPEE8gT+BQkFEwUhBSgFFATiBKQEcAROBDYEHQP7A88DowOCA3ADYQNMAzoDMwM0Ay4DHAMHAvMC4ALOAsECuQKmAn8CSwIhAg8CEAIeAjQCUgJxAooClAKDAk4B9AGLAS0A6QDEALkAvgC/AK0AiABhAEcAOwA6AD0ALwAF/9n/6gBbAPIBOwD5AFr/v/9O/uX+Yv3R/VL85vx4+/77g/sS+qH6Kvm1+Un44fhy9/z3ivch9rj2TfXn9Y/1Q/T89LL0ZfQa89bzofN7817zQPMe8v3y4PLD8p/ydvJP8i/yE/H18dfxwfG58bfxsvGp8avxwfHq8h/yYPKr8uby8fLB8mzyC/Gi8SnwrfBF7/rvwO+K71bvFu6j7eztHuyP7GvskOy27LLsjexg7DfsCuvQ64zrSOsQ6uTquuqK6l7qReo66iXp+em96YDpQOjz6JboL+e75zXms+Zn5njm2edR56Pnrudx5wjmm+ZJ5hLl4+XC5cjl+OYe5fjlieUe5QHlL+Vp5XrlZeVH5S/lGuUD5Ozk1+TE5LTkr+Sy5LXktuS85Mnk0eTL5LXkmOR85G7kfuSx5PPlHuUp5TTlaOXA5g3mLeYy5kTmcuak5r3mvOa05rHmruam5p7mnOaV5nnmR+YU5fbl9OX75f7mAOYX5k3mlebY5wvnLedC503nV+dz57HoC+hk6KToyujl6QnpO+l56cXqH+qC6uTrPOuT6/jsaOzD7OTsxuyI7FjsU+yF7PXtlu497rfu7O787xjvW++08ArwTfB58JfwtPDg8RvxWfGP8cjyEfJg8p7yxPLl8x3zavO18+30F/RA9HD0nfS+9NL05fUE9TT1cvW/9hz2f/bR9wD3HPdC94L3z/gf+Hj46fln+dr6Mfp4+r77Dvtn+8n8L/yK/Nb9Gf1k/b3+I/6P/vv/Yf+/AB0AgQDfAScBYgGkAfgCSwKTAuYDWgPhBFIEnATdBToFrQYbBngG1gdAB6YH+Qg7CHkIsAjOCMwIwQjZCT0J+ArrC88MWAxiDA4LpgtxC4MLwwwLDEgMgAy7DPUNIA0+DV0Njg3JDfsOGg4tDkAOWA5zDosOnA6oDrQOyg7oDwQPFA8dDycPMw86DzsPQQ9PD18PaA9yD4YPoQ+0D74PzA/lD/8QEBAfEDoQWhBwEHkQjhDEERERVxGEEaARvBHeEf8SHhI8EmESixKyEswS2RLhEvUTFhM1Ez4TMhMkEyQTLRMuEyATGBMwE2YTmxOrE5QTdxNtE2sTURMUEsQScxIbEaIQ+hAoDzoOOw1EDIYMMAxPDMENWg4IDssPfA/CD2gOvQ5oDsUPdw/ND4EO+g6+DtcO3Q6KDgwNuQ2sDboNtQ2ODUgM5AxtC/8LtguOC2gLLQrlCrIKpQqoCpQKZQpLCmcKjQpoCdwJKwisCHkIdAiRCNYJKAk6CNoILgeZB2gHoggXCHYIcgf6B1QG3AamBngGMQYQBlYG2AcXBtAGPgXNBacFswXXBgwGPwZNBiIF0QV1BRcEvgR/BGEETgQrBAAD7APwA94DlAM1AwoDKwNfA1YDAwKqApYC0AMTAxkC3gKbAoECjQKaApICggJ9AoMCjQKUApsCmgKGAmMCQQIwAiwCJAIRAgAB/QIEAgUB+AHmAeAB5QHnAeIB4wH0AgsCFAILAf0B9QHuAeEB1gHeAgACKgJIAk4CRQI8AkICWwKBAq0C3wMVA0IDWANUA0oDSwNZA3EDlwPEA9wDvgN3A0EDTAOMA80D7QPyA+sD1gOzA5IDgwOCA30DagNXA04DTANIA0IDPwNDA0gDSANDAzwDOAM3AzgDNAMpAxsDEgMQAxMDGAMdAx0DFwMMAwEC+gL5AvsC+gLrAs4CsgKlAqACkgJ3AloCNAIBAgQC0ATLB4oJzApiCQcGewPGAZcAJP9g/xr/D/8H/vP+3v7P/rj+k/5m/jz+E/3n/bz9lv1y/U39Kv0M/O78y/ym/IX8afxK/Cf8Bfvn+8b7n/t1+0r7Hvru+r/6lPpo+jr6Dfnm+b/5lvlt+Ur5Kfj++Mv4l/ho+Dv4DPfg97n3kvdo90L3JfcM9uv2w/aa9nf2UvYo9fr1zvWg9W/1PvUT9O70xvSb9G/0QPQO89zzrvN/80jzC/LT8qbygfJe8jryGPH38dHxqvGF8WHxO/ES8O3wzvCu8IjwYPA78Bvv/+/j78bvpu+B71zvPu8m7w/u9+7d7sXur+6a7oXub+5S7jLuFe4A7fHt4e3Q7cDtse2i7ZPti+2H7YTtfe127Xftfe2F7Yntju2X7aLtrO237cnt4e357gruGe4s7kbuYu577pbuue7f7wPvJO9H723vlO+67+TwFPBB8Gjwj/DB8PzxMvFd8YTxs/Hq8h/yT/J58qLyzfL+8zDzWfN185TzxfQG9D/0ZPSB9KP0v/S+9J70gfSQ9OT1f/ZS9zr4Cfii+Qn5XPmn+d/59vn8+hv6b/rm+1b7pfvY/AL8L/xl/LD9Fv2H/eH+Gf5B/nD+nP6r/qH+p/7K/tP+dP2f/J/70PtG+tL6S/m6+Uz5I/k9+X75x/oC+iz6Ufp++rb67PsV+y/7QvtY+3X7lvu4+9j79vwU/Dj8ZfyO/Kj8s/zD/Of9EP0Q/MT8M/uH+vH6jfph+mH6efqU+qb6pfqI+lL6E/nk+dH50/nZ+dr50fm7+Zz5g/l++YP5dvlF+Pr4r/h1+Ez4LPgT9/z33fet92r3HfbY9qL2dfY49dP1RPSn9CPz1/PE887z0vPD87Tzw/Px9Cj0VPR99LH05vUD9Pj0yPSG9D3z+PO482fy5fIq8VDwbu+D7o3to+zP6+Pqoukb577m6uaD5hvlfuTe5IDkZ+Ro5HzkveU15cPmQuaq5wnnXOeX57Hnreea55Dns+ga6LrpdOoo6svrV+vK7C3si+zm7TLtaO2S7bzt3+3l7cztqO2R7Yjthe2F7ZLttO3j7hjuVO6a7ubvKu9b733vnO+/7+Hv+vAO8CfwSvBx8JbwvvDw8SrxYfGT8cryD/Jc8qXy5PMh82LzqPPz9EP0lPTh9Sb1afWy9gn2Z/bC9w/3UPeN98v4Bvg1+FX4cfiU+MP48vkg+U35ffms+dT59voa+kL6bfqY+sf69/sm+1H7fPuq+938Dfw6/Gf8lvzJ/P39M/1t/a399f4//ob+x/8I/07/mv/oADkAkADwAVEBqgH7Ak4CpwMDA1kDqgP7BE0EnATnBS0FcQWxBeoGGQY/Bl8GfQacBrwG2AbuBwMHHAc8B18HhQeuB9wICgg1CF8IiAiyCNgI9QkOCSQJOAlMCV8JcwmPCbYJ5woYCjoKSApJCkkKSApDCjcKLAolCiEKHQoaChsKHgohCicKMwpAClAKcgq6CygLnAv2DDQMcAy6DQMNMw1GDVQNbA2IDZANeA1GDQ4M2wytDIYMagxcDFkMVwxPDEAMMQwhDAkL4QusC3QLSAstCxgK/wrjCsgKsAqYCoEKcgptCmcKWgpJCkAKQAo9CjcKPApSCmwKdQpqClsKVApVCl0KdgqfCskK6gsMC0ALeQueC7IL2AwbDDQMFQvjC9IL7wwTDBkMCAv4C+MLsAtbCwMKwwqZCncKWAo+CigKDQnsCcsJrQmRCXkJbQlmCVEJKAkFCQwJSAmlCgwKcgrICvcK7wq7CnkKRgojCgYJ4wm4CYoJXQkuCPgIuwiACFEILggLB9wHogdnBzwHKQcuBz8HTAdMB0MHOwc6B0IHUAdbB1oHSQc1By0HLQcdBuwGnQZABeEFgwUtBOsEvwSiBIsEdwRqBGgEcwSFBJcEowSsBLoE1QT2BREFIQUlBRsFAATgBM4E0gTkBPcFCAUUBQ4E6wSxBHYESgQsBBAD8APJA5sDbwNQAz8DNQMoAx0DGAMXAw8C/gLpAtUCwQKuAqEClwKDAlwCLAIGAfQB8gH7AgsCIQI7AlMCZAJeAjEB4AF/AScA4wC3AKEAnACcAJQAfgBcADEABv/y//8ACv/i/5L/df/bAJsBJQEQAHv/2P9l/wX+if30/Wj88vx9+/77gfsS+qf6NPnA+Vf49/iS+CH3rvdB9tX2avYE9az1ZPUk9OP0nPRN9ADzxfOh84vzcfNR8zLzGvMA8tnypPJu8j/yGPH08dbxxPG98bjxq/Gb8ZrxsvHf8hfyUPKG8q7yt/KV8k7x7PFu8N3wUu/r77Pvle9670/u/e5t7abs5Oxy7GXsieyd7InsX+wz7AXrzuuM60rrDurb6q7qgepO6h3p+end6bvpiulV6Sbo8+iu6Ffn9+eO5xLmi+Yi5gPmNuab5v7nMOcX5sHmWuYL5dflpuV65Xblp+XZ5b/lTeTR5KHkxuUC5RvlDeTy5NrkxOSs5JXkfeRk5E/kRuRJ5FDkWeRn5HnkhOR/5GvkTOQl5ALkAeQz5IDkvOTW5PDlKuV65bbl0uXt5ijmdeam5qLmgOZj5lrmV+ZR5kjmPuYj5evlneVa5UHlVOV75Z7lt+XU5gDmOuZ45rHm2+by5vznCucz54Dn4Og46Hfomeiq6Lro0uj36S/pf+nr6mfq4etQ68DsPuy27Pfs5uyf7GTsY+yg7Q3tm+4w7qXu4u767xvvX++68A7wTfB68J7wwvDu8STxWvGL8cTyFfJ18sDy5PL18xnzXfOu8/X0KvRW9IH0qfTK9OX0/fUc9Ur1ifXa9jv2n/bz9yn3Svdy97T4Cfhk+MX5M/mq+hX6Zfqk+uj7P/un/BP8efzQ/Rf9VP2V/en+VP7L/zz/m//vAEoArQEIAU0BhwHNAiMCeALCAxUDgwP+BGUEsgT+BWYF4gZaBsQHLQeXB/YIOghvCKQI2Aj2CPkJAglMCfEK1gu2DFQMlgyCDDEL0gucC60L9gxIDIcMuwz3DTgNag2HDaQN0A4DDioOQA5VDnIOlQ6zDsoO3Q7sDvoPCQ8cDy4PPg9MD1oPZA9mD2IPZQ9xD34Piw+bD7EPxQ/QD9cP6BACEBcQJRA2EFQQcxCDEI4QrxDvETkRcRGUEbMR2RH/EhwSNRJUEnoSoxLFEtoS5BLsEv0THBM8E00TSRM7EzUTORM7EzQTMBNDE3UTrhPKE7oTlxN/E3oTbRM9Eu0SkBIuEboRIRBiD4oOqg3PDQ8MjAxmDJ4NGg24Dl4O7Q80Dw4Opw5sDqYPJA9rDz0O2Q6fDqIOpQ56DjoOEQ4ADeUNrg1qDSgM5QyXDEcMBgvZC7ALdgspCt4KrAqOCmsKOQobCi0KUgpECeEJVgjqCLQIowipCMkI7AjfCI8IIwfXB74Hzwf+CDMIOQfrB24HEAbpBscGjAZyBsAHUAedB1QGqwYWBdIF0gX+BkMGhAaYBm8GHQW8BVcE+AS2BJgEhARgBDkEKwQtBA4DvgN0A3YDvAPpA7QDNwLXAtgDHwNXA0cDAgLCAq4CtwLBArsCsAKnAp4CkwKOApQCnQKVAnoCWAJAAjICJwIbAhQCFwIbAhcCCQH/AgECCAIEAfQB6AHuAgECEQIUAg8CCAIBAfwCAAITAjMCUwJsAnkCdwJuAmwChAK1AvIDLANXA24DawNXA0MDQANPA2wDmAPJA+IDyQOMA2MDegPEBAwEKwQdA/YDwwOTA3YDcQN1A3EDYANPA0YDQwNBAz8DPgM9AzoDNgMwAygDIwMjAyUDHgMMAvcC6wLsAvIC+gMBAwcDCwMIAwAC9wLyAvEC7gLiAtECyQLPAtECvAKXAnkCXgIyAiMCvARhBrMIigjUB2wFFALAAPv/4v9X/yz/JP8V/vv+5/7c/sf+of5z/kj+Hf3t/b79lv1y/U79Lf0T/Pv83Py4/Jn8ffxg/D38G/v8+9v7tPuK+177L/r9+s76pPp8+lH6J/oB+dr5r/mE+WD5PvkT+Nz4pfh0+Ej4G/fv98f3oPd19033LfcS9vD2yfak9oP2XvY09gr14/W69Yv1WfUq9QD01fSm9Hb0RvQV8+XzuPOL81fzHfLk8rTyjPJn8kPyIvH/8dnxsvGM8WbxPfET8PDw0vCy8IvwY/BB8CbwDe/x79PvsO+J72TvRe8s7xfvAu7s7tjuxO6y7qDuie5p7kfuKe4R7f7t7e3e7dLtxu237ajtn+2Y7ZDthe1+7X7tg+2J7Y/tl+2h7avtte3B7dDt4u317gbuGO4s7kTuXu567pruvu7j7wXvJu9J73Dvl++87+bwGPBL8Hbwn/DQ8QnxPvFm8Y3xwfIB8j/ya/KL8qry1fMM80PzbPOF85nzvPP09DT0b/Sg9Mn05fTr9Nz0w/S19M/1MvXm9sj3nPg4+KD48vk/+X35nvmy+dj6KPqb+xX7efu6+9379Pwb/HD89/2J/fP+J/5K/nn+of6f/oL+jP7Q/v7+o/2o/HX7jPsb+u76vvpw+hf51fnE+ej6Kfpm+o36q/rW+xH7R/tm+3D7d/uH+6H7v/vd+/v8Gfw6/GT8lfzC/OD88/0O/Tj9Wf1I/On8SvuX+wH6qvqY+rX62frn+tn6uvqQ+l/6N/os+j36UPpL+i/6Cfnf+a/5jvmS+bX5y/mn+Ur42vh5+C/39ffI96D3cPcz9u/2rvZ29kL2D/XX9ZX1RPTx9LP0k/SG9HX0WPRC9E/0hfTN9Qf1I/Uq9Sf1IPUa9R31KvUu9Rv09/TR9J30NvOI8qzxx/Dp8A3vK+4z7QbrkOoG6MnoB+eD5uTmIeWH5U/lWuVx5ZDl5OZ+5zTn1ehP6KLoxuiu6GLn/uei52TnV+eD5+focukP6a3qQerE6z3rt+wv7Jbs4+0h7V/tk+2p7ZXtbe1R7U3tWO1k7XbtmO3L7gruTe6U7t7vIu9T73Lvi++s79Hv7/AE8BvwPvBn8I/wt/Dm8RrxS/F18aPx4PIr8nfyvPL78zvzgfPO9CD0cfS69Pv1P/WO9e32Tval9ur3Jfdg95/32fgC+Bz4N/he+JD4wvjt+RX5P/lr+ZX5v/np+hb6Qfpu+p36zfr5+yL7TPt8+6774PwO/D38b/yk/Nv9Ev1O/Y/91f4c/mL+pv7r/zT/gP/OACAAeADWATIBhwHYAi0CiQLkAzkDiAPYBCkEdQS8BP8FQQWBBbwF7AYSBjIGUwZ2BpwGvAbWBu8HDQcxB1kHggerB9kICwg7CGkIlQi/COQJAQkZCS4JRAldCXcJjwmpCc0J+worClAKYgpnCmgKZwpgClUKSgpBCjcKLwotCjEKMwoyCjIKNwo6CjQKOQprCtYLXwvZDDMMfgzKDQ4NNg1HDVkNgA2rDbwNoA1iDRgM0AySDGEMRAw7DD8MQQw4DCgMFgwHC/ILzwugC24LRwssCxcK/grkCswKtwqgCocKdgptCmcKWwpLCj0KMgolChwKJApAClsKYwpbClcKXwprCncKjQqvCtQK8QsQC0ALeQuoC8wL9gwjDAwL2guuC7AL2gv9C/sL4wvKC60LdQsjCs0KiwpbCjUKFwoBCe8J2gnECa4JlQl5CWAJVQlQCTsJFwj/CRIJUwmuChMKgQrnCyILGwrgCpYKWAomCfYJxwmhCYQJZAkzCO0InwhaCCoICgfpB7oHfgdBBxEG9wb0Bv8HCwcLBv0G6gbgBuQG8Ab3Bu4G1Aa0Bp0GjgZ8BlsGJwXmBZ0FUQUMBNUErgSRBHsEawRkBGIEYgRkBGoEdwSNBKsEywTmBPYE/QT+BPQE3QTDBLgEwATUBOgE9wT6BOQEswR1BEAEHQQDA+QDvQOSA2gDQgMnAxkDEAMHAwAC/AL3Au0C3gLPAr8CqwKUAoECcgJeAkACHQH/Ae0B5wHpAfEB+wIJAh8COQJEAigB3wGAAScA4wC1AJYAgABvAGAAVwBIACL/5/+8/8P/3v/L/3v/Rf+QAE0A8wECAIj/7/+D/y7+v/4v/Z79G/yX/An7g/sQ+qf6OfnJ+WX5Dfiy+En31vdk9vX2ivYm9c31hPVH9RH01fSL9Dvz+vPU88DzqPOK83DzY/NU8y7y6vKY8kzyE/Hv8d3x1vHR8cXxsfGe8Z7xu/Ht8iHySvJj8nDyb/JV8hbxq/Ec8H3v8e+W73Hvae9Z7yDuqO3v7R3seew17EXsa+x07FzsOuwS69zrmOtT6xfq4eqn6mvqL+nz6bnph+lc6TLpBujc6LjokOhW6Aznu+dj5vjmeOX+5bDlpeXZ5i/mfOaX5nTmMOXy5b/lg+VD5SXlP+Vm5U/k6uR75FDkcOSg5LDkouSO5H/kb+Rc5EnkNuQf5Anj++P24/bj/OQK5B3kKOQn5BzkBePe467jl+O14/3kSOR+5K/k6eUh5ULlXeWe5gnmbeaM5mLmIeX55e/l6eXY5cDlouVz5Srk2eSk5Kfk2+Uh5VvlgeWd5b7l7eYo5mfml+au5rjm0OcN52vn0Ogl6GHoheiW6Jzoo+i36NrpFOls6eTqbOrx63nsEeyp7QjtBey97H/sh+zP7TTto+4Z7obu1O8C7y7vc+/M8B3wWPCA8KLwyPD28SrxWvGG8b/yF/KA8tHy7vLp8vPzJ/N789D0D/Q59Fj0e/So9N31EvVF9X31v/YQ9mv2x/cV90v3cfef9+b4RPin+Qn5cPne+kP6kvrS+xv7evvp/Fn8vP0O/Uz9f/23/gv+f/8A/2//wwANAGIAxAEdAWMBowHwAkoCogL1A04DsgQaBHkE0wU5BbEGMwaxByYHkwf0CD8IdAieCMsI+wkkCUwJlAojCvMLyQxjDLEMygy8DIAMHgvPC80MGwx/DMkM/g04DXkNrA3MDewOGA5BDlsObQ6JDrIO2A7xDwIPFg8sDzwPRg9PD1sPaQ93D4IPiA+ID4cPiw+UD54Pqw+8D9EP4Q/qD/UQCRAhEDIQQBBXEHUQjRCXEKYQ0hEXEVoRhxGnEcwR9xIbEjMSSBJmEosSshLUEu4S/RMDEw4TJRNDE1kTXBNSE0cTQhNBE0ATQRNTE38TuRPhE90TuhObE5QTkRNvEyMSwBJWEd0RQBB/D7UO+g5KDZUM5gxyDHAM4g2PDjYOsA70DwAO5Q7PDuIPEw8rDwcOwg6NDnUOZg5PDjgOJw4LDdQNiw1JDRgM6QyzDHwMTQwmC/sLvwt1CycK5gqyCnwKOwoDCe4J8wnlCagJUQkHCNwIwgizCK0IpAiFCFkIPAg2CCgIAQffB+IH8wfdB58HbQdbBz0G9ga/BugHWgehB2sG2QZNBf8F7AYEBjoGbgZ7BlUGEgXIBXkFKgTvBNAEuASSBG0EYwRlBEgECAPjBA0EZASGBDgDqQM7AyUDRQNaA0IDFALzAusC7QLoAt4C1gLOAr8CqwKcApsCngKWAn4CXgJFAjcCLwIqAikCKQImAh0CEQIPAhsCKQIrAhsCCAH/AgICCwIUAhgCFgISAhQCJQJAAlkCawJ8ApECoQKmAqoCxAL7AzwDbQOEA4IDbwNUAzwDMgM6A1YDgwO3A9gD0gOxA5sDqgPSA/QD+APhA78DnQOHA4IDhgOFA3YDYgNTA0kDQAM3AzIDLgMnAx4DGQMZAxcDEgMRAxIDCwL3At8C0QLSAtgC3ALhAugC7wL0AvMC8ALsAugC4gLbAtgC4gL0AvYC1wKpAo4CggJkAkYCkQOfBSgGSAYyBOcDEwFzAFX/sf9l/0v/Pf8l/wj+9v7s/tX+rP5//lf+LP35/cj9oP19/Vr9Ov0i/Qz87vzL/Kv8kPxz/FH8MPwR+/D7yfuf+3X7RvsU+uP6uPqP+mP6OvoU+e/5xPmY+XL5T/ki+Or4sviD+Fr4L/gE99r3sPeE91v3Ofcb9vj20vaw9pD2bfZD9hr19vXR9aP1cfVB9RP04fSs9Hn0SvQc8+3zv/OR82DzK/L28sfynPJ08k/yLfIJ8eDxt/GP8WjxP/EX8PTw1fCz8I3wafBN8DXwG+/9793vuu+W73PvVO877yXvEe7+7uvu2+7M7rzupO6C7l7uQe4r7hbuA+3z7ejt3O3O7cHttu2q7Zvti+2B7X/tge2H7ZHtne2n7bDtuu3I7dft5e3z7gXuGu4v7kTuW+547pnuve7f7wDvIu9J73Lvme+97+XwGPBP8IDwq/Db8RLxR/Fy8Zzx1fIa8lfyffKS8qzy2fMU81Dzf/Of87XzzvP09Cj0avSv9On1EfUm9S71KPUW9Q/1OvWu9ln3Cfeb+BL4gfjs+Ur5kPnD+fP6MvqH+u/7V/ui+8T7zfvt/Ez84P1t/bX9vf3E/ff+OP5Q/kT+V/6h/tD+df15/EX7W/ry+u37Dfsg+wj6yfqK+nP6jfq5+tv6+Psk+1z7iPuW+5P7l/ut+9L79/wW/Cz8Qvxg/I38wfzt/Qn9Hf05/V79c/1Z/P78bPvD+y/63frb+wn7LPse+un6sfqN+nv6f/qg+tT69frl+q76avon+eT5sfmv+dv6Bfny+Zz5LvjR+JD4Xfgq9+33oPdL9wP20vat9n72QPYE9dL1q/WR9Yz1mfWi9Y71Y/VB9UL1YPV59Xj1YfVE9Sj1EvUL9SH1SvVk9Vn1NfUV9Pj0uPQ484XyxfIN8Vzwou/J7rntc+wq6x7qXumy6OjoIuew57Dn5+gR6DHofekL6brqV+rE6vLqzepS6afpBuiS6ELn/OfA56bnxegc6JTpFumW6hvqq+tC687sQeyb7OjtJ+1O7VTtRO047T/tVe1r7X7tmu3J7gruT+6R7tPvFO9J72zvh++n78zv7PAA8BLwL/BX8IPwrfDa8QrxOPFh8YzxxPIJ8lLyl/LV8xPzVvOg8/D0P/SK9ND1G/Vw9dD2L/aB9sL2+fcy93H3qvfS9+34CPgw+GH4kfi7+OH5CPkx+Vv5h/m2+eX6Evo/+m76nPrH+vH7H/tR+4T7tvvm/Bf8S/yC/Lr89P0x/XH9tf37/kL+iv7S/xz/Zv+zAAUAYAC8ARQBZwG5AhICbwLIAxsDagO4BAYETwSTBNQFFAVSBYsFuwXjBgcGKwZSBnoGnwa+BtwG/QckB00HdgehB9AIBAg6CG4InQjICO0JCQkfCTIJSQlnCYgJpwnECeQKCQoyClQKawp4Cn8Kfgp3CmwKYQpVCkYKOgo2CjsKQAo/Cj0KPwo7CisKIwpHCqsLOQvHDD0MnQzrDR8NLw0uDT4NbQ2oDcgNtg15DSkM1gyLDFMMNQwxDDsMPgwzDBwMAQvrC9QLtwuSC2sLTAs1CyELCgrvCtgKxAqvCpoKhwp8CnQKaQpYCkQKLQoZChIKIQo/ClcKWwpUClgKagp+Co4KoAq8Ct4LAAslC1QLhwu1C90MAwwbC9wLqAuJC5cLvgvTC8YLqQuMC2oLMgrlCpQKTgoVCesJ0QnDCbcJqAmaCY0JeglcCT8JMwkvCSMJDQkCCRoJVQmmCgcKdArZCxQLEArhCqYKbAorCeIJpAmDCXgJZQk0COIIhwg6CAkH6gfKB5kHXAcgBvEG1AbGBsUGygbJBrwGpwaYBpUGmwabBosGbAZFBiIGCAXwBdUFsgWHBVgFJgT2BMkEoAR/BGsEZARjBF8EUwRHBEYEVwR2BJsEuwTRBN4E5QTmBNwEyAS0BK0EtgTFBNAE1ATMBK4EeQQ+BBAD8wPaA7oDkQNnA0EDIwMPAwIC+QLvAugC4wLaAswCvQKyAqkCmQKAAmUCTQI2Ah8CCgH3AekB4AHfAeIB4wHjAfECDwIqAh8B4AGAASMA3ACtAIgAYQA4ABkAFAAcAA3/1/+d/5D/qf+r/3T/Q/95ABsAvADoAJQAF/+1/2P+9v5o/dT9Sfy6/CL7kfsW+qr6PvnS+XP5IPjL+Gf39/eD9xT2qfZG9ev1nfVg9S/0/vS99HL0MvQO8/zz5fPI87Pzr/Oq84XzMvLG8mDyGfH48fXx+PHx8d3xxfG28bjx0/IC8jDySfJK8j7yMPIT8c3xVvC68Bzvn+9W7z7vOu8c7r3uD+0y7Gjr9evq7BfsO+w67CbsEevx67frbOsn6vLqu+p26irp5Omm6WfpJ+jp6LDoe+hQ6DHoFefu57fndecs5tLmYuXp5YDlP+U25WPlsOXz5grl+eXT5aHlXOUN5Njk0uTX5LHkWeQJ4/fkGuQ85DvkJuQW5A/kBeP54/Hj7OPi49LjwOOy46jjo+Oq47rjyOPL48fju+Od427jSeNN43/jxeQI5EPkdOSS5Kbk2OVK5d/mRuZG5fjlpeV75W3lWOUu5PrkxOSJ5ErkHOQa5Evkm+To5R/lQOVY5XblouXg5iPmVuZu5nvmoObu51nnv+gQ6EvoeOiS6JvooOit6MLo4+kc6Xzp/uqO6y3r5Oyh7STtNezs7KXsqOzx7U3tpO4C7mruxu8H7zvvf+/X8CnwYfCB8Jvwv/Dw8SnxXPGJ8cTyG/KD8tLy6fLb8tfzAfNO857z1PPv9AL0JfRo9MP1I/V69cj2FfZk9rH2+vc893P3offW+CL4gfjk+UP5ovoI+mv6v/sG+1P7tPwj/JH88f09/XP9m/3M/iD+mP8W/3n/wQAJAGQAygEkAW8BugIRAm8CzQMtA44D7ARHBKYFFQWRBhIGkQcPB4kH8Qg/CHoIqwjXCQEJMQl3CeYKjQtmDD8M2A0WDSMNNg1HDRoMmwwWC+8MNwyoDP8NOQ13DbsN8A4SDjQOXw6EDpoOrw7TDv0PGg8kDzAPSA9kD3YPfg+ED48Pmg+gD6EPow+nD64Ptg+7D8IPzQ/eD/EQARAOEB4QMhBEEFIQZRCBEJ4QrhC1EMsQ/xFCEXwRohHDEeoSEBIsEkESWBJ4EpoSvhLkEwUTGRMfEyMTMxNOE2MTaxNlE1oTThNHE0UTRxNWE3sTtBPnE/UT3BO8E7MTshOXE1ES8xKOEhIRYxCHD7IPDg6MDfINLAx9DEsMvA2ODlQOzg8JDyYPNQ81DysPIg8WDvwO0w6kDngOUg41DiEOCQ3dDZ4NZQ1BDScNAQzNDKAMgQxlDDcL9wuvC2kLKgrzCrkKdwoxCfkJ1AmxCX4JQAkNCOsI1gjFCLMIlQhrCE0IVAhxCG0INAfyB9wH6wfrB80HsgesB5AHQwbzBuwHLgdmB00G8gaSBlEGLgYnBjkGUAZQBi8GAAXSBZ4FZQU1BRQE8QTBBJUEhgSMBIYEdASABMMFDwUWBLoELAO2A3YDXANLAz0DOQM+A0ADNgMkAxUDDQMGAvQC2gLBArICqQKcAogCcAJeAlUCUQJNAkUCOgIuAiMCHQIiAjQCSQJVAlMCRAIyAiMCHAIfAicCKwItAjgCUgJwAoMCigKZAroC4AL3AwUDHwNPA4ADmgOWA4EDaANQAzsDMAM2A04DdAOaA7IDuAO0A7QDuQO2A6UDjgN+A3kDgAOTA6sDtwOoA4cDawNfA1YDRgMyAyQDHAMQAwMC/gMDAwYDAQL8AvoC9ALkAs4CwAK+AsACwwLJAtIC2wLgAuMC5ALlAuQC4gLhAuYC9gMJAwkC6AK5Ap0CkgJ3AkgCSQK+A34D9gOpAqsBgACVAAP/r/+A/2j/Uv81/xn/Cf76/tz+sf6I/mX+PP4J/df9s/2T/XD9Tv00/R38//zb/Lv8ofyF/Gb8Rvwo/Ab73vu2+4/7ZPsz+wD60vql+nb6Sfoi+f751vmq+YL5W/ks+Pb4wfiV+G74Rvgc9/P3x/eZ92z3SPcn9wP23fa79p32evZR9ir2B/Xh9bT1g/VU9SX07vS09H/0UvQp8/zzy/Oa82jzNfMF8tjyrPKD8l3yOfIT8efxuvGQ8WnxQ/Ee8P7w3vC68JfwefBi8EvwLvAM7+rvye+p74rvbO9Q7zjvI+8R7v/u7+7h7tPuu+6Y7nTuWO5D7i/uGe4H7fnt7e3f7dPtyO257aPtj+2D7X/tf+2F7ZPtpO2u7bTtvu3P7eDt7O357g7uKe5A7lLuZO5+7p3uve7c7vzvIu9P733vpe/G7+nwGPBP8ILwrvDe8RbxTvF/8a3x5fIl8lzyfPKQ8q3y3PMX81LzhfOx89bz8fQI9Cj0X/Sp9PP1LPVX9Xv1l/Wf9Zj1nvXK9hz2gPbv93D4Bfii+Tb5tPoY+lv6hfqv+u/7RPuN+7D7ufva/Dn8wf0q/Tz9Ev0A/Tv9nv3m/gj+Mf5x/oj+Jv1H/Dv7YPrm+tf7IvuR+9L7sftP+vf62vrq+wf7K/tc+5L7tfu5+6/7tPvS/AP8NPxV/GP8bPyE/LT87f0Z/S/9Ov1I/Vb9Uv0w/Of8evvy+2/7IPsd+0f7W/sw+uD6pPqY+q361/sU+1r7hPt2+z76//rF+oT6Q/ok+jP6TPo6+fP5n/lh+T75IPjz+Kz4Tffv97T3pveq95r3afcq9uv2sPZ+9mX2Z/Zv9l/2OPYS9f318/Xh9cT1q/Wf9Zv1l/WX9aD1q/Wk9YL1UfUj9Pb0tPRL88HzKPKM8fPxYfDO8CDvR+5X7XnsvOwN613q1eqs6uXrPOtx64LroOvp7E7squzf7NTsc+vK6xXqmepc6iHpo+jl6C7nxOe25+boNOiX6Rbpsupg6w7rquwl7H3svOzs7RDtJu027UztbO2M7aTtve3n7iLuX+6U7sjvAu8772jvi++v79jv+vAL8BXwKPBL8HjwpfDR8P3xKvFX8Ybxu/H48jryfPK68vfzNvN688P0DfRZ9Kj0/PVU9az2AvZQ9pP2zfcF9zz3cPea97z33/gJ+Db4Y/iN+Lb43/kG+S35V/mC+a752/oK+jn6Z/qT+sH69Psq+177j/u++/D8Jfxc/JX8z/0M/Uz9kP3W/h/+a/63/wL/TP+Y/+wARwCiAPcBSAGcAfUCUAKmAvkDSAOVA94EJQRqBK0E7AUoBV4FjwW7BeQGDQY3BmAGhgaqBs4G8gcZB0IHbAeYB8gH/AgzCGoInwjNCPMJEQknCTkJTglpCYsJrwnSCfQKFQo1ClAKZgp5CoYKiwqHCn0KcApiClEKQgo8Cj4KQQpBCkEKQQo7CisKIgpACpcLHAuxDD8Mtw0JDSgNGg0EDQwNQA2HDbgNtw2GDTYM2AyBDEEMJQwoDDkMQAwyDBML8AvQC7QLmAt7C10LRAsxCyILEAr6CuQK0QrACq8KnwqRCoUKdwpjCkgKLQoaChsKMApNCl4KXQpXClwKbgqECpYKpwq+CuELDgtAC28LlAuzC9IL8Qv6C6ULeQtmC3ULjQuPC3kLWws8CxcK4wqkCl4KFwnWCaoJlwmSCYsJfQlxCWgJWAk7CR0JDwkOCQ0JBgkGCR0JTwmXCfYKXwq2Ct0K0wqzCpEKZQocCcEJeAlaCVsJVAkoCNcIeggsB/sH2we5B4UHRgcOBuUGyAavBpoGjAaDBnYGZwZaBlUGUwZMBjcGFQXqBb8FmgV/BWkFUwU5BR8FBgToBMMEmARzBGAEXgRfBFcERgQ2BDcESwRsBI8EqwTABNAE3gTjBNkEwwStBKMEpgSqBKkEogSUBHcESQQVA+sDzwO3A5sDdgNOAykDDwMBAvgC7QLgAtQCygK8AqcClAKMAowChgJxAlACKwILAfYB7AHlAd0B1AHQAc4BxgG7AcAB3QH/Af8ByQFtAQ4AxQCVAG0APAAC/9T/zP/i/+z/yf+N/2r/cf96/2P/Sf9x/+wAdACxAI8AQP/x/5v/JP6O/fT9ZfzX/EH7rfsq+rb6SPnf+YH5MPjc+Hv4D/ef9zH2x/Zj9gj1uPV59Un1HfTm9KT0bvRR9EX0MfQV9ADz/PP088nzbvL18oPyNfIW8hbyGPIM8fnx6vHl8ejx+fIc8kTyVfJH8inyCvHc8YTw+fBY78fvYe8r7xjvCO7J7jbtVexk67frf+um6+Tr/+v06+Lr1eu864TrO+r86szqlOpJ6fnptul86Tzo7uiY6ELn8+e255Pnhed151XnIubh5pPmNeXM5WPlCOTO5MXk8uU75XrllOWI5VvlF+TO5JjkeuRY5BPjueOB44rjuuPX48zjr+Oc45LjiOOA44TjkuOZ45PjhON042PjVeNV42LjceN243LjaeNV4zPjEOMD4xnjR+N746rjzOPi5AbkYOT75Z7l8eXU5XflJ+UD5O3kv+Rz5B/j0uOW43Xjf+O85BnkcuSx5NXk7+UM5TPlZeWj5eTmGeY45lHmhObe507ntOgD6EHodeia6Kvos+i86Mjo1uj36T/psOo66tvroex47R3tSe0I7Lnssuz37VPtpe357l7uwe8I7zzvfO/S8CjwYfB+8JTwt/Dt8SvxZPGY8dXyKPKH8s7y6PLl8uvzEPNK84DznvOn87Tz3vQ19K31LvWn9hP2c/bC9v/3M/do96D31vgR+Fz4uPkZ+XT5zvor+or64Psu+4L75PxS/Lz9F/1d/Yn9p/3T/iT+lP8D/1n/of/4AGMA0AEsAX4B2QI9AqEDBgNvA9gENwSQBPkFdwX8BnQG5wdhB9kINQhzCKoI5wkfCUgJfgntCq4LsQzADZEN7w3pDdMN6A4BDb0NBwxNDA8MWwzTDSsNZw2wDgIOPQ5cDnoOow7HDuAO+Q8dDz4PSw9ND1wPfQ+eD64PtA+7D8YPzA/ID8EPwg/MD9oP5A/pD/EP/hAPEB4QKxA5EEsQWhBlEHQQjRCsEMMQzhDbEP4RNxFzEaERxBHoEg0SKhI+ElMScBKREq8S0BL3ExsTLBMtEzATQxNeE3ITehN5E3MTZxNbE1QTVBNeE30TtRPyFA4T/hPeE84TyhOwE28THRLJElURmhChD7IPDg6nDicNXgyLDC8Mkw17DmMO8Q8wD1MPcA94D2UPTQ9ED0IPLw7/DrwOew5IDiEN9A26DX8NWA1LDT4NGgzkDLgMoQyKDF0MGwvVC5YLXgspCvYKvgp/Cj4KAgnJCY8JVgkoCQwI/Qj2COoIzAidCHUIbwiECIgIYggtCBMIEQgFB+YH0AfRB8IHhQc1BxAHJwdJB0QHGwbqBr4GlQZ3BmwGbwZoBk4GKgYDBdgFqQWABV0FMATyBLgEmwSfBLQE2gUaBWgFlAV0BQ4EkAQjA84DjwNsA2sDggOWA5QDfgNmA1kDUQNFAywDCgLoAs4CvQKvAqECkgKJAocChwJ/AmwCUwJAAjYCNwI+AkwCXgJvAnoCeQJrAlQCQAI3AjsCQwJLAl4CfgKhArYCwQLYAwYDOANYA2cDeQOWA6sDpwONA28DXANQA0cDQgNLA18DdAN8A3gDdwOIA6UDswOjA4EDZwNlA3EDgwOfA78D0AO+A5UDdQNqA2MDTwM0AyEDFQMHAvYC7wL1AvoC9wLvAuoC5ALWAsICswKrAqoCrAK3AscC1ALYAtcC1QLWAtgC2wLgAucC8gL+Av4C6ALCAqICjAJqAjECBAIOAj8CSgH1AVYAtwBF//r/wf+X/33/Z/9L/zD/G/8F/uH+tv6R/nL+Sv4X/en9yf2t/Yr9Zf1J/TD9EPzs/M38tPyZ/Hv8Xfw//Bz79PvN+6n7gvtS+x/67vq++oz6XPoz+g/56fm++ZP5aPk3+QL40fio+IL4Wvgy+Av34Pev93/3Vvcy9w326PbG9qf2hfZe9jj2FPXt9b/1kPVk9TX0/fTA9Iv0YvQ89BLz4vOu83nzRfMU8ufyvPKT8m7ySvIh8fLxwvGX8W/xS/Ep8Qrw6/DI8KjwjvB58GHwQPAb7/nv2+++76Hvg+9l70vvNu8k7xHu/u7v7uHuyu6p7obua+5W7j/uJu4S7gPt9u3o7d3t0+3D7avtlu2L7Yfthe2K7Zrtre247bztxe3Z7e3t+e4H7h/uP+5Y7mjueO6P7qnuw+7e7wDvLO9f74/vt+/V7/TwHvBQ8IHwrfDd8RfxVPGJ8bjx6vIh8lDycfKN8rPy5fMa80vzevOu8+P0CvQg9DP0WfSa9On1MfVv9a316PYU9ir2L/Yx9jj2S/aA9uj3gfg1+O/5ofo4+pn6wPrP+vL7Nft9+6v7w/vt/EH8qvzr/N/8q/yc/Nr9RP2g/eH+H/5W/lD95f0p/FX7k/r8+sH7B/ul/Cf8K/u/+0P7Avr8+xT7O/tu+6L7wvvJ+8n71fv4/C78ZvyL/Jb8lvyp/Nv9F/1B/VP9Wf1Y/Ur9JPzr/Kr8X/wB+537WPtQ+2v7b/s7+u/6xPrN+vL7HftP+4X7pfub+3z7avtm+037Fvrd+sL6uPqa+lz6Gfnq+c/5tfmL+Un49Pio+In4pvjj+RD5Fvj0+K34Q/fI91/3H/b/9uX2wvab9nn2XPZI9kT2UPZj9mz2Y/ZK9iH18fXD9Z71ePU59M70Q/O480Dyz/JR8cjxUfD68KjwLu+A7sPuJO207W3tVO137dDuLu5e7lHuKe4N7gfuDO4A7crtXezS7GvsWex+7G7r0Oq26Yvor+gy5+7n0Ofr6FHo8emt6nHrLevJ7DLsceyj7NntDe007VXtee2f7b7t2u4C7jbuaO6Q7rbu6O8j71nvhu+z7+LwCPAb8CDwK/BH8HPwofDM8PPxHfFM8YDxtPHr8ibyZPKk8uXzJvNo86rz7PQ29Ir04/U39YT1zvYZ9mT2p/bd9wv3Nfde94n3uPfm+BL4O/hk+I74uPjf+QP5J/lL+XP5n/nS+gT6NPpi+pT6yvsC+zT7ZPuU+8f7/Pwz/Gr8o/zg/SH9aP2x/fz+Sf6X/uX/MP9+/9IALACFANcBJwF7AdECJwJ8As8DIANsA7MD+gRBBIYExwUCBTkFbQWeBcwF+gYmBk8GdQadBsUG7QcUBz0HaQeYB8YH9AgoCGAImAjKCPMJFQkvCUUJWglxCYwJqgnOCfQKFwozCkUKVApmCnkKhwqLCoMKdQpkClMKRwpBCj8KPgo/CkMKRgpACjMKLwpLCpMLBQuYDDYMvg0ODRcM8gzRDNoNEw1iDaANsg2NDToMzQxlDB4MAwwNDCMMLAwbC/gLzwusC44LcwtaC0ILLQsdCxELBgr5CugK1wrJCr0KrwqgCpEKgAprClAKNwosCjYKTApiCmoKZwpjCmYKcQqBCpMKpQq+CuULHAtXC4ILlAubC60LxAvGC3QLTQs+C0cLTAs+CyELAQrfCrYKiwpfCisJ6gmnCXoJawlsCWYJVwlLCUIJNAkdCQcI+wj6CPwI/QkDCRcJQQmKCe8KWgqgCqsKjQprClUKNAnvCZEJRgkoCSoJJwkECMAIbwgpB/oH2we3B4IHQgcLBuYGyAakBnsGWAZABjIGJwYgBhwGFgYJBfEFzgWhBW0FQAUjBRUFCwT9BO4E4ATNBK8EigRpBFgEVQRUBEsEPgQ3BD8EVQRzBJEEqgTABNYE6ATwBOIExASlBJMEjQSJBIAEcgRiBEgEIgP1A8sDrAOYA4YDawNFAx4DBAL4AvIC5ALPArsCqgKVAnoCZAJfAmYCaQJaAjcCCwHkAc4BzAHQAc0BwQG0AagBmQGLAYwBpAHBAb8BiwE1ANsAmABsAEYAFv/X/6L/k/+o/8D/sv+C/1T/Rf9H/0H/Of9S/53//AA8AEkAMwAH/7r/Pv6e/f39bfzn/Fz7z/tJ+s/6XPny+Zf5RPju+I34I/e390725/aG9i714vWk9XX1T/Uj9PH0x/Sx9Kj0l/R79GH0UfQ69APzpPMt8r7yb/JK8kDyO/Ix8izyMfI28jLyMPJE8mbydPJc8izx+PG18UXwqPAE74LvMe8K7vru2u547bTsreu66zTrLetv667rvuus65jri+tx6z3q/urI6prqYuoa6dHplOle6Rzoxehe5+7ngOcn5vbm6+bs5t/mu+aG5kLl9OWd5UTk6uSX5F7kWOSG5M3lBOUR5PPkvuSL5GXkP+P945XjK+L44xLjUeN343DjU+M64ybjEeMF4w/jKOM840DjOeMu4yDjEOMK4xTjJeMp4x7jDuMA4u/i3OLP4tHi4uL84xfjM+NY457kGOS25T3lbuVF5PfkvOSb5HLkJuO+41Pi++LH4sfjBeNx4+PkOORk5H3knOTL5QLlOeVy5azl5OYT5kLmhObj51Hnt+gJ6E3oheiu6MTozejR6NPo2Ojt6STpfens6nbrLuwI7MDtCezh7J/snOzo7U7tqO387l3uvO8C7zTvcu/I8CHwX/B/8JjwvfD08TLxb/Gq8ezyO/KN8s3y8vMG8x/zQfNk83vzg/OJ85/z0/Qt9KX1LvW89kX2vvcV90v3cfec99H4CPhA+IX43fk/+Z759vpM+qL69PtH+6X8EPx+/OP9M/1q/Yz9p/3T/iL+iP7s/0H/mQAIAIMA8QFKAaQCDgKBAusDUAO6BCUEhwTpBV4F5QZgBsYHLAelCBoIawifCNwJKwlsCZUJ1ApqC2gMng3ADoUOyg6tDoYOhg52DfcNEAxMDCsMmQ0aDWQNmQ3rDkwOjQ6pDsIO6Q8PDykPPw9ZD2sPbw92D5EPug/YD+MP5w/xD/0P/g/2D+4P8A/8EAkQFBAeEC0QQBBOEFMQVxBhEHAQfBCGEJkQtxDUEOQQ7hEHETgRchGhEcMR5BILEi4SRhJZEnISkhKuEsYS5xMQEzATNhMvEzYTUxN0E4UTiROLE4wThBN1E2wTbBN3E5MTyhQLFCwUHhP6E+cT5BPOE5ITSRMCEpwR5RDiD+IPMA7GDksNfgySDBAMVA01DjAO3w89D3gPog+wD6YPqA/JD+4P5A+bDzAOyg59DkUOFQ3jDa4NgA1fDUINHQzwDMgMrgyUDG0MNQv4C70LhQtPCx0K7Qq5Cn8KRAoJCdAJngl3CV8JTwlFCTkJIgj3CMMInwiXCJcIhwhmCEgIMwgbB/4H7QfxB/AHyweNB10HUQdVB04HOAcdBv8G3Qa/BrAGsQavBp0GegZJBhMF4QW4BZQFZgUnBOgEvASxBMsFDwVuBb4FywWLBSMEwwR4BDID8QPHA8MD0wPZA8UDpwOQA4YDfQNpA0oDJgMFAusC2QLLArwCrgKnAq0CtgKyApsCegJiAlkCWQJaAlsCXgJoAnYCgAJ+AnACXAJPAk8CVgJhAnYCmgLEAucDBgMrA1wDhwOcA6ADpQOtA6kDkANtA1UDTgNRA1UDWwNpA3kDfQNtA1ADRANaA4cDpgOjA5MDkgOhA6cDmwOSA6IDuQO4A5sDfgNxA2kDVQM5AyQDGAMKAvgC7gLyAvoC+gL0Au4C5QLUAr4CrAKgApgClwKiArYCxwLMAskCxALAAsACxALMAtIC1ALWAtgC0QK6ApkCdgJNAhgB3gGyAZQBawEkAM0AfwBBAAj/0v+s/5f/hf9q/0r/Lf8P/uj+v/6e/n7+Vf4k/fz94P3F/aD9ev1c/UH9Ifz+/OD8xvyr/I38cfxU/DL8Cfvi+8D7mvtr+zf7BvrW+qT6c/pJ+iX5//nW+ar5fPlK+RX45fi8+JX4bPhE+B739ffF95L3Zfc+9xj29PbT9rT2kvZr9kb2IfX49cn1nPVx9UL1DPTT9KH0efRV9C30AfPQ85rzYfMs8vzy0fKp8oTyXvIz8gPx0vGl8X3xVvE08RXw9/DX8Ljwn/CI8G3wS/An8Abv5+/L77Dvk+9171rvRe807x/vCO7z7uPuze6w7pHueO5h7kbuK+4Y7gzuAO3x7ePt2O3J7bTtpO2e7Z3tmu2b7ajtue3D7cjt1e3s7gHuDO4Y7jDuUO5p7nvuje6j7rruzu7n7wrvOe9s75vvwu/h8AHwKfBY8IbwsvDh8RrxVvGL8bnx6PIY8kTyavKP8rzy8PMg80jzb/Oh89z0EPQw9EP0XvST9N/1LvV59cH2C/ZP9oT2pfat9p32g/Z/9qz3D/ed+Ev5DfnC+kH6f/qc+sz7IfuH+9v8GfxR/JH8z/zv/Oj81/zm/SD9Zv2j/d/+Kv5k/lH94v1D/KD7+ftN+tn66Ptv+/b8Dfu1+0b7B/r++xL7Nvtn+5T7sfvB+9P78vwe/FX8jvy2/MP8xvzd/Q79Qv1h/W79d/15/V79G/zE/HL8Lvvs+6r7fft4+4n7iPtj+zH7G/sl+zf7QftL+1f7VvtC+zj7V/uS+7T7n/tr+0H7KfsI+tH6jvpR+h/58/nL+Z/5a/k8+S75Vfmn+gD6QvpU+iT5rPkH+Gb36/eb92X3N/cH9tb2rPaa9qb2uva69pz2a/Yp9dX1fvVM9VL1YvUm9HXzg/K18j/x/fGu8UDw2PCZ8G3wGe+H7uLud+5o7pru3+8l73Xvwu/l77/vXe7y7qbue+5W7iDt0+2P7YTtzO417k3twuyv64Dqgump6M7oB+ej58/oZekj6erqtetv6/fsRex67LXs9e0m7UrtbO2R7bPt0+377ivuVu527pbuw+787zbvau+e79TwAPAX8CDwKfBC8Gvwl/C/8OHxB/E28Wzxo/HY8g3yR/KH8svzE/Nb857z3PQh9HL0zPUe9WL1ofXp9jr2hfa+9uT3A/co91j3j/fE9+/4FPg5+GH4iPit+NH49PkX+T75a/mh+df6Cfo4+mv6oPrV+wb7Nvto+5771fwM/EL8e/y4/P39SP2V/eD+LP55/sf/FP9j/7cAEABlALYBBQFWAakB/AJQAqUC9wNEA4sD1AQdBGMEowTgBRwFVAWHBbkF6gYXBkAGZwaRBr0G6AcRBzwHaweYB8EH6QgZCFIIjAjCCO8JEwkwCUwJaAmCCZgJqwnECeYKCQoiCi4KNgpEClkKcAp+Cn4KcApaCkkKQgpBCkAKPgpBCkkKUApMCkMKRwpjCp8LAguODDAMtwz2DOkMvAyiDLcM8w1BDYcNqA2ODTUMtgw8C+sLzQvVC+gL6wvXC7ILjQtvC1gLRAszCyYLGAsKCv0K9QrtCuIK0wrGCr0KtAqoCpsKjAp5CmMKUApMClgKaQp0CnYKdgp2CngKewqECpUKrArJCvILKgthC34LewtyC3wLkQuTC1ILLgscCxgLDArxCs8KrQqFClkKNgoaCfcJvgl/CVQJSAlHCUAJMwkoCSAJFQkHCPwI9wjzCO0I7AjyCQQJKwl3CecKWQqZCpAKWwopCgwJ7AmwCWAJGgj3CO0I4wjICJgIWwggB/QH2Ae4B4YHRAcIBt4GuwaRBl0GLwYQBf0F8wXtBekF4QXPBbQFkAVfBSME7QTOBMcExwTBBLUEqgSgBI0EcwRZBEoERgRGBEYESQRTBGMEeASRBKsEwwTZBO4E/gUBBOsEwwSbBIEEdwRwBGMEUgQ+BCYEAgPVA6cDhwN4A3IDYgNCAxwC/wLzAuoC1gK5Ap0ChgJsAlACOgI0AjoCPgIzAhYB7QHHAbEBrwG2AbUBpQGOAXgBZQFaAV8BcQF9AWgBKwDWAIcAUQAyABf/7/+4/4T/bf95/5D/kv92/0z/K/8d/xf/Ff8d/zj/Yv+Q/7n/1P/V/6T/Nv6d/f39bfzs/G377ftv+vX6f/oU+bf5ZPkJ+KL4NvfO92z3Dva29mX2HfXh9bf1nPWF9Wr1TPU49Sv1GPT69Nf0tPSJ9EXz5vN58xPyxvKc8ozyiPKJ8pTyofKe8oLyZvJp8oLyhvJe8hzx2vGL8RDwbO/K71PvD+7z7ufuwO5D7VnsOOtO6ujq/OtB63Lre+tr61brP+se6u/quuqJ6lnqIOne6ZvpYOko6Ofolegw57fnNebB5njmXOZZ5lXmQuYf5evlp+Va5Q/kxORw5Brj4ePh5BbkWeR/5HzkYeRI5DPkC+O14zPit+J84pfi3uMW4yLjEeL44tziu+Kj4qbivuLV4tzi2+LZ4tPixuK94sXi1uLa4sjisOKi4p3imeKT4pDileKh4rfi3eMf44Dj+uRw5LzkzOSs5H3kUeQh49jjdOMD4pniSOIl4kLioOMh45bj4uQK5CnkWeSZ5NrlEeVD5XrlueX85kPmk+by51vnwOgW6Fzok+i86NXo3+jf6Nno1+jn6Q7pSemR6ffqk+tg7B3sgOx/7GDsdezQ7UPtpe357lDup+7t7yXvae/E8CDwY/CK8KfwzfD/8TjxdPG38gHyT/KY8tTzAvMq81DzbvN+84LzifOe88Xz/vRK9Kv1I/W19lT25/dT95H3uPff+Az4OPhk+J748flW+bz6Gfpw+sH7Eftp+8/8Qvyw/Qf9Qf1m/YT9qP3j/jj+nf8D/2f/1QBTAM8BNAGKAeoCYALZA0IDoAQCBGgEzAU5BboGQQavBwYHaAflCFoIpgjbCSMJegm4Cd0KKgreC/MNKQ4+DvsPQg8lDusOwQ53DcMMzAwqDEwM7w18DbcN4A41Dp4O4g77DxUPPw9mD3sPhg+RD5YPmA+pD80P8hAFEAoQFBAnEDQQNBAtECoQLhA0EDsQRBBVEG0QghCKEIQQfxCEEJIQoBCuEMYQ5hD9EQYRFBE7EXURqRHJEd8R/hIlEkcSYRJ5EpYSsRLEEtsTARMvE0kTQxM3E0MTahOME5UTkBORE5UTkROFE34TghOQE60T5BQkFEUUMxQPFAIUCxQBE8wTghM6Et0SNhFCEEUPhg8DDm8NjQyLC+0MFgzpDe0OuQ89D5cP0w/rD/YQJBB+EMUQrxA2D5YPDg6xDnwOZA5UDiwN3A1+DTcNEwz6DNgMrwyLDG0MSwwdC+gLsAt7C0kLFgriCqwKeApIChwJ+gniCdAJugmeCYMJawlJCRYI4QjBCLYIqAiHCGEISghBCDoILwgoCB8IBwfaB6gHfwdjB0YHJQcHBvAG3gbSBs4G1AbZBtAGrgZ2BjgGAwXZBbQFiwVcBSsE/QTaBNsFEQVsBbEFrAViBQoE0QS1BJMEXwQrBA4EAQPwA9IDsAOZA40DgQNtA1MDOAMhAxADAQLwAtgCvgKxAroCzgLWAsQCowKJAn4CeQJwAmECVAJPAlMCXQJkAmMCXQJbAmECbQJ5AosCqQLVAwcDOgNrA5MDpgOiA5YDkAONA30DYANEAzoDPwNMA1kDaAN6A4cDiAN3A1sDSQNTA28DgwOFA4sDrAPVA9sDrgN5A20DiQOlA6IDjAN6A2wDWAM+AyoDHgMSAwMC+QL8AwQDBgMCAvkC6gLVAr0CrAKfApQCiwKNApkCqAKxArQCsgKsAqcCqQKyArcCsQKqAqoCrAKiAoMCWQIwAgUB0gGXAVoBHwDmALMAhABSABv/6f/M/73/qv+K/2L/Pf8Z/vH+y/6q/on+YP4z/hD99v3Z/bL9iv1r/U/9Lv0K/Oz80vy1/Jj8ffxk/ET8HPv1+9P7rft++0r7Gfrq+rr6i/ph+jz6F/nv+cb5mPlk+S74/fjT+Kr4f/hW+DD4Cffb96j3efdO9yf3A/bk9sb2o/Z89lX2L/YF9dj1rPWC9VX1IvTw9MP0m/R09Ez0JPP288DzgvNI8xTy6PK/8pnycfJF8hTx5fG68Y/xZPE+8R3xAPDi8MTwqfCO8HHwUPAv8BDv8O/T77nvoO+F72rvVO9A7yjvCu7w7truxe6r7pLufu5p7k3uMe4h7hruEO3+7evt3O3N7b7ttu237bvtue237bztx+3O7dXt5u4A7hXuH+4o7jzuV+5v7oTum+627szu3e707xfvQu9u75jvwO/l8AzwN/Bm8JPwvvDu8STxW/GO8b3x7PIc8kfybvKW8sby+fMp81HzdvOh89b0DfQ49FP0bfSb9OL1NfWF9c32EvZW9pr21/cC9w32+PbZ9sn22/cZ94z4LfjX+V/5ufoD+mv6/Puh/Dj8rvz9/Sr9Pv1D/Un9Yv2U/cf94f3s/hP+Zv6y/qv+Rv28/Tv8qvvy+0X6/fsq+3n7i/tb+yH7B/sI+xz7Qftz+5z7sPu/+978D/xI/IT8ufze/O78/f0h/VT9ef2C/YL9jv2a/YT9OvzN/GT8Evva+7f7qfuw+737uvuj+4b7dftu+2X7VvtI+zj7Gfrv+uD7DPtj+6j7tvuc+4T7e/ts+0L6/vqu+mL6KPoI+fz57vnT+bj5tfnX+hn6YfqN+nr6IPmX+Qj4jvgt9+H3ovdf9xH2w/aL9m32S/YJ9bH1X/UT9Lz0ZfRJ9Iv04vTJ8/7y0PHV8V3xPfEX8MHwXfAV79/vi+8D7nvuQO5y7t/vOe9o747vwu/g77fvR+7O7oLuZu5Z7kTuLO4n7k3upO8N7znu8e5J7YzszuvS6mvo4ufS55XoAeit6WfqMOsA663sHuxm7Kbs5O0X7T3tX+2C7aPtwu3p7hXuO+5X7nTune7R7wbvO+90767v3e/88A7wHfA18Fbwe/Cf8L/w5PEV8VDxjPHE8fjyLPJl8qXy7/M/84rzy/QL9Fj0sfUF9Ur1hvXJ9hf2Y/ad9sH22vb59yj3YveZ98T35vgJ+C74U/h3+J74x/jw+Rn5Sfl++bX55/oW+kb6efqq+tr7DPtD+3v7s/vr/CP8Xvye/Of9Nv2F/c/+F/5h/q3++f9G/5r/8QBHAJgA6AE4AYkB2QIrAn4C0AMdA2gDtAP+BEIEggTDBQQFQAVzBaMF1AYDBiwGUwZ9BqwG2gcHBzYHZAeOB7IH2AgKCEUIhQjDCPoJIgk7CU8JagmLCaUJtAm/CdMJ7woGChIKGQolCjcKTgpjCmwKZApOCjsKNgo7CkAKQQpGClAKWApYClcKZAqECrsLFQubDDUMqwzQDLEMhwyCDKQM2g0aDV4NjA18DR8MkwwNC7ILiAuDC4gLggtqC0oLLwsfCxYLDwsOCxELEAsECvQK5wrgCtcKyQq7CrMKrwqrCqQKmwqPCn4KbwprCnIKewp/CoAKhQqNCpIKkgqYCqwKxwrkCwYLLwtTC10LTQtBC08LagtuCzgLGAsCCvAK1QqwCowKaQo/ChQJ9QnfCcAJiwlSCTAJJgkkCRwJEwkOCQcI+wjyCPII9AjrCNsI0QjVCOcJDAlWCcQKNgp1CmsKLwnxCccJpAl0CTcI/AjPCLEImgiDCGQIOQgIB+AHxgetB4AHPQb3BsAGlAZoBjkGDwXyBd0FzgXEBb0FsAWZBXoFUgUdBNsEnQR6BHQEewR7BHYEdAR2BHMEYwRMBDoENAQ8BFAEawSHBJ0ErgTBBNcE7AT8BQgFDgUIBOsEvASPBHQEagRiBFMEPQQmBAwD6AO4A4cDZwNbA1oDUwM7AxoDAQLxAuACxAKhAoECZwJOAjMCHQITAhECDgICAe4B0gGzAZkBjQGMAYoBfQFnAU4BOwE1AT4BSAE+AQ8AvwBnACL//f/x/+j/z/+j/3T/WP9X/2f/cv9q/0r/IP7+/vD+7/7v/un+5f70/xn/Sv9q/1v/Dv6R/gH9dfzy/HX8AfuU+yX6sfpA+d75ifks+L/4Tvfo95D3P/bx9qj2YvYl9fz17vXy9fH14vXO9bv1o/WB9VX1IfTm9Jv0P/PZ83bzKvME8v/zCvMW8xvzD/Lm8qPybfJh8m3yXfId8cvxiPFB8NHwN++g7zLu9+7l7uXuv+4v7SPr7usN6r/q3esW6zfrPes06x7q++rR6qTqdupD6grpzumQ6VLpFejZ6JzoWegD55LnDOaJ5iPl5+XL5cHlvuWz5ZLlVuUK5MbkiuRD4+XjiONX42fjoOPW4/Hj9uP24+3jxONk4tviV+IS4iLiZuKp4sviz+LF4q7iieJl4lbiYOJv4nHibuJu4nDibeJp4m/ifeJ+4mniTeI84jniOuI54j7iTOJj4oTivOMT433j3OQW5CbkHeQN4/Pjw+Ny4wrin+I/4ezhs+Gn4dviSeLN4z3jh+O44+fkJeRq5Kvk4eUU5VDlmeXs5kPmnub8517nv+gW6Fvojeiy6M7o3ejc6NLozOjU6OnpA+kn6XLp/urB63/r+Owd7CTsU+y77TTtmu3q7jnuiO7P7xHvYu/H8CvwdPCf8L7w4PEJ8TnxdPG/8hPyZPKr8uXzGfNI827zhfOO85fzrvPY9A30Q/R69Lz1G/Wj9kr28Pdz98j3//gq+E74a/iK+Lv5CPlo+c/6NPqU+u/7R/uk/A78ffze/R/9QP1Y/X79vv4U/nr+5/9X/8wARgC/ASsBhQHdAkYCwAMzA5MD6QRFBKYFCwV+BgQGiQbxB0UHqwgqCJ0I6wksCYEJ2QoLCi0KigtODFsNdg53DzkPiw9lDw0OwQ5iDacMtwwwDHcNOQ3UDhEOPg6aDwYPRg9fD30Pqg/MD9QP0Q/PD84P0g/nEAcQHBAhECcQPxBcEGoQaBBnEG0QchBxEG8QdxCLEKQQthC5ELAQqhCvEL0QyxDdEPgRFREmES8RRRF1EbAR2hHuEf8SGxI/El8SfBKaErYSyBLVEvATIRNSE2UTVxNKE14TiBOkE6ETkRONE5MTkxOLE4gTjxOdE7oT8BQxFFMURBQjFB8UNRQ3FAgTvRNxExcSgxGqEL4P9w9SDpINjQx5C9UL/wzYDeMOuA9HD64P+RAhEEYQmBEQEVURGRBvD7UPLw7hDr4Owg7UDrQOPw2kDTwNJQ0pDQYMvwyBDGYMWAw7DAwL3AuzC4kLVQsZCt4KqgqACl0KRAo2CisKFAnsCcMJowmGCVoJJAj6COQIywihCHgIdAiQCKUIkwhoCEMIKwgPB98HpQdtBzoHCgbjBs8GywbLBskGyQbNBskGrgZ9BkgGHAX1BcwFpQWIBXAFSwUXBPIFAAU6BWkFXAUaBNoExgTQBMwEoQReBCUEBAPxA9oDvAOfA4kDegNtA18DUgNHAz4DMwMfAv8C2gLBAsMC1gLiAtYCugKiApgCkAKBAmwCWAJIAj8CPQJAAkQCSQJWAm8CjAKgAq0CvQLcAwsDQwN2A5EDjAN0A14DVgNSA0MDLgMiAyYDMgNAA1IDZwN6A4gDjwOPA4YDdQNnA18DUwNEA0oDfQPFA+cDwwN9A1cDawOVA6kDnAOGA3IDXwNJAzYDKQMeAxQDDgMQAxMDEAMFAvUC4ALJArQCpwKfApcCiwKEAoUCjAKUApsCnQKXAo8CjwKYAp4ClwKIAoIChgKDAmkCPgIUAfAByQGTAVUBGwDsAMUAmgBoADMACf/u/9r/wP+a/3H/Sf8i/vj+0v6x/pD+av5D/iP+CP3n/b79lv11/Vb9M/0P/PH81vy4/Jv8g/xt/FH8LfwH++P7vfuP+137Lfr++s/6ovp6+lX6L/oJ+eH5tfmB+Un5Fvjr+MH4lfhs+Eb4H/fz98L3k/dn9z33Gfb69t32vPaV9m32RfYc9fH1yPWf9XP1RPUY9O/0xfSY9Gr0QPQT89vzm/Ne8yjy+vLO8qXyfPJP8iHx9vHO8aTxd/FM8SnxDPDv8NHws/CW8HbwV/A68B3v/u/g78jvs++a737vY+9K7y7vDO7t7tTuvO6k7pDugu5y7lnuP+4x7i3uIu4M7fPt4O3S7cntyO3Q7dnt2e3T7dLt1O3W7d3t8O4K7h/uKe407kfuX+537o7uqu7I7t7u8O8H7yfvSu9t75PvvO/p8BbwRPBz8KLwz/EA8TTxZ/GY8cjx/PIu8ljyfPKi8s/zAfMz82LzivOw89v0DfQ79F70ffSq9O/1RfWY9d/2G/ZV9pP22fcf91H3YfdP9yn3BPb79yT3g/f7+Gj4x/k1+dP6ovuH/F79C/16/ar9rf2j/a392f4e/lT+YP5V/m/+yv8t/0H+9P6A/hH9jfzN+/L7UvsX+xj7G/sX+xz7LPs5+077fvvB+/T8BPwG/Bv8S/yI/MP88P0I/Rb9L/1j/Zv9tv2t/Z39o/2x/aH9YPz3/Ib8Kvv2++r7+PwJ/Av7+vve+8D7pvuQ+4T7iPuV+5X7dPs9+xv7Mft0+7H7xvu9+7f7vvu/+6b7bPsb+sn6j/p7+ob6kPp++kv6Dfni+dv57vn9+er5r/le+Q74w/h5+DP37/ef9zP2s/Y79dT1afTt9Hn0LPP387TzaPNZ87f0OPRM86LyhvGP8RHw6fDA8Grv/u+h71Xu/+6R7i7uD+5G7p3uy+7D7r3u3e8A7ujuku4/7iPuMu5F7lTubu6Z7szvA+8+72fvZO9C7x7u2O3/7FHqLehr56LnvOhF6O/ps+qO61vr9exe7Kns4+0P7TTtW+2C7aPtw+3n7g3uKu4+7lfue+6n7tfvDO9I74PvtO/Z7/bwD/Aj8DjwUvBx8JPwvfDz8TXxePG08eryGvJK8oDyxPMW82fzrPPr9DT0jPTn9Tb1d/W19fj2PPZ19pv2tPbP9vn3L/dl94/3svfW9/z4IfhH+HL4ovjS+QH5Mflk+Zj5yfn3+ib6VfqF+rb67Psk+1z7k/vM/Ar8S/yO/Nj9J/11/b/+Bv5O/pj+4f8s/37/1QAsAIAA0QEhAW4BuwIKAlkCpwLyA0ADkQPcBB8EXwSkBOsFKAVaBYgFuAXnBhAGNwZhBpAGvwbwByEHTwd0B5cHwgf4CDgIgwjbCTQJcAl+CXAJagl9CZoJrAm2CcQJ2gnxCgEKDgoaCiUKMAo/ClAKVQpJCjYKLgo1CkAKRwpMClUKXAphCmsKgwqpCuALNwu5DEYMowysDIEMZQx1DJwMvwzmDSINWQ1VDPsMawvfC3wLRAsqCx8LFAr+CuUK1grWCtsK4wrwCwILDgsHCvIK4ArWCs4KvwqvCqcKqQqtCq0KqQqiCpYKiQqBCoAKggqDCoYKkgqiCq0KtArACtYK7wsDCxMLJQsyCy8LHgsYCy0LSgtRCxMK+wrlCsoKpAp7ClgKNwoRCesJzQmxCYgJTwkeCQgJBgkFCP8I/Qj+CPcI5QjaCN8I5gjcCMMIsQi0CMgI6wknCYEJ4QodCh0J8Am3CYkJZAk+CREI3QipCHsIWQhDCC8IEQfoB8IHqQeUB2wHKgbcBpgGYwY3BhAF8gXZBcIFrAWcBZAFfwVjBT4FEgTbBJgEVwQwBCcELgQ2BD0ETgRmBHIEaARNBDMELAQ9BGQElAS/BNoE5wTyBP8FCgUOBQwFCQT7BNsEqgR9BGMEWgRQBDwEJAQPA/gD1QOkA3QDVQNJA0YDPQMqAxQDAALtAtICrgKIAmoCUgI4AhwCBQH3Ae0B4AHSAcQBtAGcAX0BYQFRAUwBSwFDATMBIQEbASEBIgEGAMQAawAW/93/x//J/8z/vv+c/3L/Uv9G/0z/W/9g/0r/Gf7n/s/+0v7X/sn+rv6h/rL+2P75/v3+0/5+/gz9iv0A/Hz8Dfux+1P65Ppt+gT5rflR+OX4dPgS98H3ePcz9vH2r/Zv9kP2O/ZQ9mL2X/ZM9jb2H/X99cz1kfVQ9QX0qfQ9887ze/Nb82vziPOQ83PzNfLa8nryO/Ir8inx/vGk8UbxCfDT8Hfv8u9t7w3u3u7c7u7uzu4q7PzrserW6pzqwurv6wPrCesF6u3qv+qM6mHqNen66bfpdek66P/oweiE6E3oFefN52nm7OZo5e/lkOVT5TnlO+VC5TPlAOS35HTkQOQJ47TjSOLu4s3i5eMW40XjauOD44fjYeMI4oniDOHD4cLh9+I34mPieeKF4oLiaOI94hziEuIR4gfh9+Hx4fniBOIN4hfiHuIW4fvh3OHJ4cPhweHE4dniAeIv4l3imuLz41XjluOh44bjauNa4z7i+eKQ4iThz+GR4V/hPuFH4Yvh/uJ+4uvjO+N547Xj9+Q45HTkreTr5TPlg+Xd5j7mn+b+51vntugK6Evod+iY6LboyujN6MPovOi86LzouujI6Qzpm+ph6yXrrevs7AzsR+yv7SrtlO3p7jTufe7C7wjvYe/P8D3wjvC+8Nzw+PEY8UHxffHP8iryf/LH8wTzOfNl84Lzk/Ok88Dz7vQm9GD0kfS79On1MfWj9j324/d19+P4L/hj+IT4m/i5+Ov5MvmH+eT6SPq0+yD7iPvu/FT8tPz9/SX9OP1T/ZD98v5o/t//Vf/NAEcAuQEdAXQBywItAp4DEwN7A9QELASMBO8FVAXGBkkGzAc2B5EH+QhxCN0JMQmHCe0KQQppCo0K+Qu/DLMNtA67D5gP8w+wDzQO6Q6uDhYNJQx+DKMNWQ4BDl0Oqg8bD4kPww/aD/gQHBAqECAQFRATEBEQFBAkEDsQRRBDEFAQcxCSEJkQkhCWEKcQshCvEKsQsBC+EM4Q2hDgEOAQ4RDnEPEQ/RENEScRQBFPEVsReRGtEeQSBhIXEikSRBJiEn8SnRK+EtYS4BLtExATRhNwE3cTZhNgE3oToxO4E60TmROSE5kTnhOdE5sTnhOmE8ET+RQ9FGYUXRRCFD8UVBRYFDAT7ROoE1cS1BIUETYQZQ+cDq0NhAxjC8gMCwz+DhQO4A9dD74QFxBcEJoQ8hFREV4Q5hAmD40PSg8xDx8PHQ8mDvkObA2+DWYNfw2mDXYM+wyODGQMXQxIDB4L+AvgC8ULlwtZCxoK5Qq3CpAKcgpiClkKRwomCf4J2wm8CZEJXAkwCREI7gi/CKEIugj7CR0I8giZCFYIQQg3CBIH0weTB1wHKgcDBvAG6gbeBskGuQa4BrcGoQZ5BlMGNwYYBesFvwWqBaIFiAVNBRAE+gUPBSYFEgTbBK0EqQTBBMgEoARXBBYD+wP7A/cD3gO2A5YDhgOBA3wDdQNtA2UDXANMAzIDDwLvAuAC4QLgAtACuQKoAqQCoQKWAoYCdgJmAlYCSAI8AjQCNAJIAnICpALIAtIC0ALXAvIDHQNHA1oDUQM4AygDJgMmAxwDEQMSAx8DLAM5A0sDZAN6A4YDkgOgA6QDkwN2A10DRwMwAygDTwOiA+wD8gO3A3oDbQOKA6QDpQOSA34DbgNeA0wDOwMuAycDJQMmAyIDFQL+AuUCzQK3AqUCmgKWApMCjwKKAoYChQKEAoMCfwJ3AmwCagJ0An4CegJqAmACYwJkAlACJwH8AdoBugGQAV0BKgEAANgArQB7AEsAIv/+/93/u/+Z/3f/Uv8n/vj+z/6u/pD+cP5P/jH+E/3w/cj9of1//V39Ov0Y/Pv83vzA/KP8ivx1/Fv8O/wX+/P7zPuh+3L7Q/sT+uP6uPqU+nH6Svoj+fv5z/mb+WP5L/kC+Nf4rfiF+F/4N/gL9933sfeH9133N/cY9v323va69pP2afY/9hX17PXD9Zb1Z/U99Rb06fS19ID0T/Qf8+bzqfNt8zjzB/LY8q3yhfJc8jHyCvHk8bzxj/Fk8T/xH/EB8OLww/Ck8IPwZfBK8DDwFO/47+Hvy++w75DvcO9T7zXvE+717tvuwu6o7pTuie5+7mruU+5E7jzuMO4Y7f3t6O3e7drt3u3p7fHt8O3p7eTt4e3g7eXt9O4K7hzuKu497lfuc+6M7qXuwO7a7u/vAu8b7zrvV+9075jvxO/08CPwUPB98Kzw3vET8Ufxd/Gl8dbyDPI98mbyifKv8trzCfM582jzk/O48+D0DfQ89GL0hvS49QD1VvWp9fL2L/Zl9pv22fcg92b3mvev96H3evdU90r3aPec99X4GPiC+Sr6Bfr5++b8r/0//ZH9sv29/c/9/f5F/of+pP6i/rz/Ff+B/6//gv8n/sf+Sf2G/Jn7z/ta+y77LftK+3r7ofuw+8H7+vxW/KL8vfy3/LP8w/zk/Qr9KP02/T/9Wv2S/cv95f3d/c/90P3U/cH9i/01/ND8c/w9/Dr8U/xj/FT8MfwM++z7z/u9+8v7//xC/Gr8Xvwu/AL7/fwY/DP8N/wn/Bf8E/wR/AL72fuX+077Ffr++wT7Dvr++sj6dvoh+eL5u/mZ+Wj5K/jz+Mz4q/iE+Ff4IvfW92H2yPYp9ZX1BfR79A/z0/Os827zIPML81zz1vP584Dyo/HS8Uzw+/Co8D3vxu9b7wXuvO527j3uKO497lruUO4h7gTuF+457i7t/e3c7e3uEe4o7kLuge7b7yDvP+9R72nvhe+s7+nwBO9z7dDraOki58nnfufh6I/pXupA6xrr0uxd7Lrs7O0C7RftOe1j7Yntru3U7fXuCe4U7ijuSe5z7qPu3O8c71nviu+179zv+/AN8BjwK/BI8G7wm/DU8RnxYPGh8dryDfI88mzyqfL180bzjPPJ9A30YfS/9Rj1Y/Wi9d32GPZO9nf2kvaq9s72//cx91v3gPem98739vgd+En4e/iv+OH5E/lF+Xj5qPnX+gb6Nfpk+pb6zfsG+zv7cfut+/D8N/x9/Mb9E/1h/av99P49/ob+zv8X/2b/uwARAGQAtQEDAU8BmgHmAjECegLDAxIDZAOvA/EEMwR7BMQFAgU0BWUFlwXGBe8GFQY+BmoGmAbKBv4HKwdPB3UHpgfhCCUIgQkJCaQKEQoeCd8JmAl5CX8JkgmnCcMJ4gn4CgUKEAocCh8KGQoaCiwKQQpHCjsKMgo4CkYKUQpWClsKYwpvCoUKpgrRCwoLYgvfDF8MoQyRDGAMVAx3DJwMpgyzDOgNLA04DOUMVAvEC1kLEwrpCtMKxgq2CqMKmwqkCrYKyQreCvYLBgsBCu0K2grRCsoKuwqsCqcKrgq2CrcKswqvCqkKoAqUCosKhwqJCpIKoQq1CsgK2QrtCwILEwsXCxQLEQsPCwgK/Qr8Cw0LIgslCtoKzQq9CqEKegpTCjMKFgn2CdUJtgmRCVgJFgjoCN0I5QjqCOkI7QjxCOYIzgi+CMMIzAjCCKYIkQiUCKoIywj3CTUJeAmoCbMJnQl2CU4JLAkKCOIIsQh6CEcIIggMB/4H6AfFB6EHhwdzB1AHEgbEBnoGPwYSBe4F0QW3BZsFgAVsBV8FTQUwBQgE2wSlBGYEKAQAA/QD+gQFBBgEPARoBIIEewRbBDwEMwRIBHQEqwTdBP0FCwUPBRAFDQUDBPcE7ATcBLoEigRdBEQEOQQqBBMD/gPyA+UDxgOXA2sDUQNHAz0DKwMWAwQC8gLaArgCkQJuAlQCPAIfAf4B5QHVAccBtgGjAZUBjAF9AV4BNgEXAQ4BGQEkASEBEAECAP4A9QDTAJMARgAG/+H/1P/V/9P/xP+l/37/XP9G/0L/Tv9Z/0r/F/7a/rn+u/7F/r3+pP6P/o7+nP6q/qv+lv5n/hj9pv0a/I78HfvK+3n7D/qW+in50fl6+RT4q/hP9//3tvd09z33DPbW9qn2m/as9r32t/ag9on2dvZa9iz19PW49XT1FvSX9AzzofN785Pzt/Ow823zBPKT8jjyCPIA8fLxsPFA8NjwmvBo8Bfvou8u7t7uve7O7vTu2O4f7M7rb+qc6nXqo+rJ6tTq2urZ6r7qiOpR6ibp9+m16WjpI+jo6K7ob+g06ADny+eG5yvmv+ZH5cnlUuT35MfkweTL5MjkpORl5CTj8uPC43zjFeKn4lriQ+JY4obiveLu4wbi8+Kv4knh3eGS4X/hn+HR4friF+Iy4kXiPOIV4ejhzOG74aHhgeFv4Xnhk+Gs4brhuuGl4YDhWuFD4TnhNuFD4W/hs+H14ibiV+Kg4vLjIuMU4t7iqeKC4lHiAeGh4VbhLeEV4P3g7OEB4UrhuuI14qPi/ONG44njyeQG5ELkguTM5R7ldOXQ5jXmneb+51Xnqef46DfoYuiC6KDouOjA6Lvoteiu6J3oiOiN6NbpcOo96wfrmuvp7BXsUey27TLtpu4D7lLumu7b7xzvb+/c8E3wpvDd8P3xFvEy8VnxlvHr8kryofLq8ynzXfOB85XzpPPD8/b0NvR19K704fUP9Tv1c/XJ9kT21vdn9+L4P/h9+KT4xPjw+S/5d/nB+g76aPrS+0f7vvwt/I781/0G/SD9OP1q/cb+Rv7Q/1H/ygBEALgBGQFnAbACBwJwAuEDTgOyBBIEdwTfBUYFqwYYBpQHEweEB+kIUQi9CSAJfQnlClIKnQq/CvELbQwsDQMN+A8ZEB8QfhAWD3wPSQ9QDuIN2AzlDMENWg4WDqIPHA+kEBQQShBdEHEQfhBwEFcQTxBWEFcQUxBdEHEQfBCAEJIQtBDJEMEQsxC8ENYQ6RDtEO0Q8BDzEPQQ+hEGERERGBEcESERKxE9EVcRbhF8EYoRrBHhEhISLxJBElcSchKMEqUSxBLjEvUS/BMOEzkTaxOHE4ETcBNxE5ATtxPLE8ITsBOpE7ETuhO9E7kTtBO3E9EUDBRVFIMUgxRsFGQUbhRuFE8UGxPnE6YTNxKLEbMQzQ/bDsMNgAxXC8cMIA0rDk0PDw96D9YQRRCrEPkRNxFPEQUQUg+cD1cPfw+qD5UPXg8qDtUOQw26DaoOEA5bDhANUgyqDGQMWQxJDCYMCAv3C98LtAt+C0gLFgrnCrsKlgp+Cm8KYgpLCiwKCwnoCb0JiglcCTYJCwjbCMsI/AlPCW4JKgiyCGAIUQhXCD0IBgfQB6oHigdsB1MHNwcLBt0GxwbPBtQGuAaHBmIGUwY+BhMF4wXKBcQFrQV0BTQFEAUPBRAE9QTDBJgEjgSbBJ0EeQQ9BA0EBAQUBBcD+wPPA7ADpQOiA5wDkgOHA30DcgNpA14DSQMtAxEC+wLnAs4CtwKsAq4CsAKrAqICmgKTAoYCdQJgAkkCOQJBAmoCpALQAtwC0ALEAskC4QMAAxQDFgMOAw0DFQMZAxMDDAMUAyQDMgM8A08DawOCA48DmwOnA6YDjgN0A3EDggOFA3MDdAOsBAIEMAQNA70DgwN/A5cDpwOhA5IDgwN0A2IDTwM/AzcDNAMyAyoDGAL8At4CxQKwAp4CkAKHAoUCiAKKAokChAJ6AmwCXQJNAkECPgJGAlECUQJFAjoCOwJAAjUCFAHrAckBrgGNAWIBMwEIAN4AsgCGAFoALv///9L/rf+S/3f/U/8k/vL+yP6o/oz+b/5T/jf+Gf33/dP9sf2Q/W/9Tv0w/RT89vzW/LX8mfyA/Gb8Sfwo/AT73Pux+4b7V/sl+vX6zvqv+o76aPo++hL55fmy+Xz5Sfka+O74xPie+Hn4UPgj9/j30/eu94b3YPdA9yT3B/bl9r/2lPZl9jb2CvXd9az1evVN9ST09/TA9Ij0VfQj8+/zuPOD81DzHfLs8sLynvJ58lLyKvIC8drxrvGD8V3xOfEV8PPw0/Cz8JPwdPBa8EPwK/AR7/nv4O/B75zvee9b7z7vIe8H7vDu1+677qTul+6N7n7uaO5V7kjuOO4i7gvt++307fXt/O4F7gfuAu367fPt8O3u7fLt/e4L7hruLO5J7m/uku6t7sPu1+7n7vbvCe8l70XvYu+A76Xv1PAD8C3wVvCB8LLw6PEg8VXxg/Gu8d3yEPI/8mfyjvK58ufzEfM682Lzi/Oz8+D0EPQ+9Gb0jfTF9RH1ZfW19f/2RfaD9rr27vcp9233sffp+Ab4Affl98v3wPfD98336fgv+K35WPob+uP7nvxA/MH9JP1q/Z390/4d/m3+nv6r/r//Bv9q/6X/mP9e/xH+n/3r/RD8V/vt+8j70fv8/Dj8Yvxr/HH8pP0F/Wn9o/2r/ZP9b/1T/Uz9WP1o/Xj9k/3A/ez+B/4R/hv+J/4j/gb90v2M/TH80PyM/Hz8jPyS/H38XvxL/EL8Ofw8/GL8sv0M/UX9Sf0p/Qb89/z4/Pr86/zJ/KD8fvxs/GD8R/wW+9H7jvtd+0X7Ovss+wn6zvqF+kD6A/nG+Xz5LPjn+Ln4nviJ+HL4TfgK9573EvZ/9fL1a/Tu9I70T/QY88zzfvNo86Hz8PP2847y5fJC8b3xSPDR8Fnv5u9+7yfu6u7D7qfukO6C7nLuTe4a7fvuAu4Q7gTt5+3l7gXuHO4Y7ifue+77713vgO+D74vvn+/E8AfwPu/m7n/sKOmq5+XnOOd06DPpIOoN6uTrqOxQ7Mbs8+zp7Nbs3uz/7SftUu197Z7tr+257c7t8+4i7lrum+7h7x7vUO9/767v1O/n7/TwCvAt8FXwgPC28PjxP/GC8cHx/PI08mnyo/Lo8zHzdfOy8/H0PPSU9O71QfWH9cT1/fYy9lv2dvaL9qr21/cH9zL3V/d996b3zPfx+Bv4TfiD+Lf46vkd+VH5hPm1+eb6FfpE+nb6rvrm+xz7U/uR+9j8Ivxq/LT9AP1N/Zr95f4v/nf+vv8G/1H/n//vAD0AiwDYASIBbQG6AgUCTAKUAuEDLwN3A7kD/QRGBI0EyQT+BTQFawWcBcUF7AYVBj4GaAaaBs8G/QcjB04HhwfDCAUIcQkrChMKxgrtCpcKFwm4CYwJiAmqCeYKHQovCh8KDQoLCgoJ/wn3CgYKJwo/CkIKPQpCClAKXAphCmYKcgqHCqUKygr1Cy8LigwGDHYMnwx5DEUMRgx4DJoMkwyRDMoNIw1EDPkMYwvIC1ELAArOCrMKpQqUCoAKegqKCqYKwArVCuYK8ArrCt4K1ArRCswKvwq0CrUKwArICsYKvwq+CsEKvwqzCqIKmQqcCqoKvQrSCucK/QsSCyMLJwsdCwwK/gr2CvAK6ArkCuYK6QrlCpYKkAqGCnEKUwo1ChsKAQnlCckJqwl+CTkI7Ai6CLEIwAjNCNMI2wjdCM4IsgigCKIIqQigCIcIdQh4CIwIqAjJCPMJHwlECVMJTQk2CRkI+wjXCKoIdghCCBQH8gfcB84HvAegB34HXwdHBygG9AavBmcGKgX6BdEFrgWOBW4FUQU8BTEFIgUHBOAEtASCBEoEFQPzA+kD6wPzBAgENARqBIwEhgRnBEsERQRVBHcEpATVBPwFDgUPBQYE+QTpBNgEyQS2BJIEXwQxBBYECAP4A+ED0wPSA88DtQOIA2IDUgNNAz8DIgMCAukC0wK3ApMCbwJSAjsCIQH/AdoBvQGsAZ4BigFyAWABWwFXAUMBHAD0AOIA7gEFAQoA+ADgANEAxACmAHYASQAuACUAHgAO//X/1f+y/47/bP9P/0D/RP9O/0L/Ff7X/q3+o/6k/p7+j/6G/oT+gv57/nH+Zf5O/hr9vf06/K/8Pfvr+5v7NPq++lX5//mp+Uj46PiT+EP38fet94f3cvdX9zP3HPca9xf2//bY9rf2oPaF9l32LvX/9cX1afTf9DnzrvNx83/zm/OG8zPyxvJo8i3yF/IT8fjxpfEp8LbwafAr79bvZu777rDulu617uruzu4A7JXrLupn6lPqhuql6qfqq+qs6pDqWOof6fHpvOl06SLo2+ie6F/oHufk57Lneucz5uHmh+Yg5aXlIeSx5GvkUeRP5E/kPeQS49jjn+Nu4zPi3uJz4g/h0eHC4dziEeJP4n7ihuJj4hvhweFz4U/hXOGC4aXhveHY4fLh9eHX4arhhuFq4UXhFuD44P3hHOE84UzhR+Er4P7g0eCx4KLgo+C/4QHhXOGq4dfh9+Ip4mrijuJy4ibh0eGJ4UfhAuDL4LXgueC94LTgr+DM4RXhf+H24mfix+MX41vjnOPc5BzkYeSw5QflY+XF5i7mmeb450jnk+ff6CHoUeh06JTosOi/6MHou+is6I7oceh56Mzpa+o36v7rmOv27C3sbezR7U7twu4f7nHuwe8J70nvkO/v8FnwtfDy8RnxNvFS8XrxuPIP8nDyx/MP80zzfvOc86nzuPPf9CH0a/Su9Oz1KfVn9Z31zfYK9mT22/de99r4QviP+Mb4+fk4+YP5zfoR+lT6oPr8+2n74/xY/LP86P0E/SD9Uf2l/h3+rf89/8EAOwCyASABdQG1AfYCSgKtAxcDhAP0BGQE0QU4BZsGAAZqBuAHWgfRCEEIrQkVCXYJ2gpHCqUK3Ar9C0oL5AymDWcOSg92EI8Q7BBrD8MPpw/XD3gOTw0mDNsNcg5JDvYPiBAXEIUQthDEEMwQxBCkEIYQixCeEKAQlBCXEK8QwxDMENsQ8xD6EOoQ2xDoEQcRHxEoES4RMBEqESARIhEvET0RQRFAEUcRWBFzEZERphGwEb0R3xITEkASWRJpEn8SmhKxEskS5xMBEw4TFRMuE10TiRObE5EThROKE6QTxhPdE90T0BPHE8sT1hPaE9MTyBPLE+oUKRRxFKAUphSVFIwUkhSTFH4UWBQuE/wTpxMTEj4RPRAhDuoNnQx2C+gMQg1SDnoPPg+mEAUQfxDxETcRTREkEJkPyg8zDzsPthAID9sPXw7hDmYN4w2cDeQOiw7iDnINfQyrDFIMRgw/DCkMFQwAC94LsAuFC14LMwsECtoKuwqiCosKdApZCjkKFgnzCc8Jpwl9CVMJIQjxCOQJGQlrCYcJQAjFCHEIXwhjCE0IIggAB/IH5wfRB6wHcQcpBvMG9AccBy4HAQayBnsGawZfBjwGDwX1BeoF0QWeBWcFRQU5BSsFCgTaBK4ElQSLBIAEZAQ9BCMEIgQqBB4D+wPXA8cDxQPBA7UDqQOhA5cDiAN9A3oDdANiA0UDJgMIAugCzQLAAr4CvQK3ArECrwKvAqwCowKUAnsCXwJTAmYCjwKzAr8CuAKwArECvwLUAukC9QL8AwYDEgMaAxgDFQMeAy4DOwNFA1cDcwOOA58DrAOzA6UDggNsA4sD0QQBA/IDyAPKBAoESgREA/YDogOBA5QDrwO2A6kDlgOFA3QDYgNRA0MDOQMyAyoDGgMBAuQCzQK7AqkClQKFAn0CfAJ8AnoCdAJnAlQCPgIsAiECHgIhAiYCJQIbAg8CDQITAhIB/wHgAcIBqgGMAWQBNgEIAN4AtACMAGMANgAE/9P/rf+S/3P/Sv8Z/uz+x/6n/on+bP5Q/jf+HP4A/eP9xv2o/Yn9bP1R/TT9FPzx/M38rPyO/HP8Wfw7/Bb77PvC+5f7afs3+wf64/rH+qn6g/pV+if59/nF+ZT5Zfk4+Qv44fi++Jr4cfhD+Bv3+vfb97X3jvdq90n3KPcE9tz2sPZ99kf2FPXj9bD1fPVN9SL09/TF9JH0YfQ09Ajz2vOr83rzRvMU8u3yzfKr8oPyVvIp8f3x0fGm8X7xVfEq8QLw4PDA8J/wgfBn8FLwPPAk8Arv7e/J76Hvfu9i70rvMu8c7wju8u7W7rvuqO6b7o3uee5k7lLuQu4x7iHuFu4S7hXuG+4g7h3uE+4J7gLuAe4C7gfuD+4Y7iTuOe5d7onur+7J7tnu4u7n7u/vAe8e70DvYO+D76/v3vAK8DDwWPCE8Lbw7fEl8VnxhvGw8d/yEPI+8mbykfLB8vHzGvM982HzifO38+v0IPRN9HH0mvTX9Sf1efXE9gz2Vfab9tj3C/c/93r3vfgD+D34W/hZ+Ef4OPgv+Cv4MPhQ+JP48vlk+eL6avr8+5X8LPyw/RP9Z/3C/h/+XP5t/nj+rP8D/0b/Vv9D/xr+xf4t/Xf85/yf/JD8n/zG/Pz9Jv0y/TT9VP2h/gf+YP6I/m/+Hf2+/YP9gP2f/cb96f4J/iX+Pf5b/oD+mf6P/mP+Kf3m/Y39JPzO/Kf8pfyn/KH8pvzB/OT8+f0H/Sv9aP2n/cn9yv25/an9oP2a/ZP9f/1W/R386fzO/Mb8uPyP/Ej79fun+2v7Rvs0+yP7A/rR+pf6Xvoj+dz5ifk3+PP4x/iu+Jj4cfgq98b3V/bq9n32CvWa9Tv07vSi9FH0FvQU9EH0XvQw87nzKvKr8jrxxPFL8N/wgfAm79Dvke9u71bvNe8O7uruxu6i7ojufe5x7lXuPe5D7lvuWe447jbuiO8R737vqO+r76/vt+/B79/v/e+47pvsluox6DDnHucT58Xox+m+6o/rVOwX7LDs7OzQ7JzsheyV7Lns4e0L7SztP+1M7WXtj+3E7gLuSO6P7szu/+8x72Tvju+q78Xv6/AY8EHwaPCY8NjxHvFj8aXx5/Io8mXyoPLf8yHzY/Oj8+P0KPRz9MX1GfVo9a316PYa9j/2WPZt9or2tfbl9xD3N/dd94P3pvfJ9/H4IvhY+I/4xPj3+Sv5X/mU+cj5+fop+lz6k/rN+wf7QfuB+8f8Efxa/KX88/1C/Y/92v4i/mf+q/7x/zj/fv/EAAsAVgChAO0BOgGKAdcCIAJnArEC+QM9A30DwgQJBEsEhAS6BPYFMgVkBY8FuwXmBg0GNAZlBpwGzQb2BycHZQehB90ISAkWCicLDQtmCzEKtgo2CdMJpwnNCjYKlgqiClwKBwncCdYJ1gnVCeQKBwoqCjsKQApIClUKYApmCm4KfwqaCroK3AsDC0ALogweDIAMkgxZDCMMLwxsDJEMggx/DMUNOQ11DTUMlQvlC1sLAQrLCq8KnAqECmwKaAqACqUKwgrPCtIKzwrLCsgKzArSCtAKxwrCCsoK1wrcCtQKzArRCt8K5wreCskKuwq/CtMK6gr9Cw0LHQssCzMLLQsdCwkK+ArrCuIK1grICroKrAqfClAKRQo8CjAKHgoNCf4J7AnYCcQJqQl5CSwI1gibCIwInAiwCL0IxAjCCLEIlgiDCH8IgAh4CGkIXwhiCG8IggicCL4I4gj/CQ0JCwj9COgIzQimCHEIOAgHB+EHwwerB5kHigdzB1AHKgcLBu4GxgaNBk0GFAXiBbcFjwVsBUsFLgUaBRAFBQTtBMkEngRwBEAEFgP/A/oD+wP8BAsEMwRoBIgEggRmBFMEUwReBG8EjQS5BOUE/QT7BO0E3wTQBL8EqwSRBGkENAQEA+YD2APJA7YDrQOyA7QDnQN0A1QDTANNAz4DGQLtAscCqAKKAmwCUAI6AiQCCQHlAb8BnwGJAXYBXgFCAS8BLwE4ATIBEADiAMUAygDgAOYA0QCzAKEAlgCBAGQAUwBcAG0AawBLABj/5P+4/5P/cP9R/zr/NP81/yv/CP7U/qf+iv51/mP+W/5h/mn+Zf5W/kr+RP43/g79v/1O/NT8afwS+7v7Vfrp+on6Nfnb+Xf5HfjR+IT4LPfk98f3zPfL97P3lfeA92j3PPcD9s/2p/aB9lb2K/YC9dP1hvUJ9GXzzvN683Dze/Nf8xTywPKG8mjyWPJF8hfxu/E98MLwZfAX77vvTe7e7ojuaO6L7sfuqO3K7FXq9OpB6jrqbeqA6nrqeup86mLqK+nw6bzpgOkz6OLom+hY6BHnzOeT52HnJ+bg5pXmSuXx5Xvk9eR75CTj8uPa49Tj0OO644rjS+MR4tvileI54dfhi+Fk4WThh+HA4friG+IX4evhoOFQ4SDhJOFI4Wvhe+GE4ZDhkuF84VnhOuEd4PLgu+CU4I7goOC14L/gveCq4IPgUuAp4BTgGeBC4JLg9+FK4XbhjeGu4dnh6eG94V3g8uCa4FvgM+Ao4DrgWOBr4HHgfeCl4PDhVOHG4jninOLr4y3jceO34/zkQeSP5OrlT+W55iXmjebm5y/ndufB6AjoQOhq6I/or+jD6Mjov+ik6H3oY+h96N/pgOpA6vzrluwA7EbskOz37Wrtye4S7mLux+8u737vv/AK8Gbwv/EC8THxVfF18Zzx2fIx8pby7/M0823zm/O588PzzvPx9DL0fvTF9Qr1VvWk9eX2FvZI9o727/di99z4T/iy+QP5TfmW+d/6Ivph+qL65/sy+437//xz/Mj88f0H/TP9hv36/oP/FP+kACgAowEYAYEB0gIPAkwCmALzA14D2gRfBNkFOAWIBeAGRwa3ByoHoAgaCJUJCwl5CeEKSQqqCu0LCAsrC50MaQ1JDgMOww/DELwRDhCTD/gP3g/+D4gOUg0zDQUNug6jD1QP4RBnEMwQ9hD/EQIQ+BDYEMIQ0BDpEOkQ2BDZEPMRCREPERURIhEmERwRGBErEUcRWBFfEWURaRFiEVgRWRFjEWcRYhFfEWwRiBGrEcoR3BHhEewSDxJGEnIShxKSEqMSuxLSEugTARMWEyETLBNJE3YTnhOwE68TqxOtE7oT0RPpE/QT7BPfE98T6RPtE+QT2RPhFAYURRSHFLIUvBSzFLAUvBTHFLsUlxRtFEgUEROcEswRrxBxDywN6gzTDEcMlA2WDroPgg/sEEEQoxD1ERcRDhDSEEkPjg8VDzcPuxACD7cPEw50DfQNkw2EDfgOow7cDkwNTwyIDDkMLQwnDBwMFQwBC9gLqwuNC3QLSgsXCvAK2wrHCqcKgApXCi0KBAniCcYJqwmMCWYJNgkECO8JFQlfCYUJVwjxCJwIeAhpCE4ILQgcCBkIEwf7B8oHfwcuBwkHMAd8B5kHWwbwBqQGjAaBBmIGOwYlBhkGAQXWBaoFiwV2BVoFNAUKBOIEwwSrBJUEewRgBE4ERgQ2BBcD8QPeA+ID5wPfA9ADygPMA8UDrwObA5QDkgOHA3ADVAM3AxcC9wLgAtMCxwK6ArQCtwK8Ar8CwAK9ArECmAJ/AnkChAKTApwCpAKxAsIC0ALdAuoC9AL6Av8DCAMSAxcDGgMiAy8DOgNDA1EDaQOGA58DtQO+A6wDgQNoA4wD5gQwBC0D7gPDA+AEIwQ/BBMDyAOcA6MDvwPKA70DpgOUA4cDeQNnA1MDPwMwAycDGwMIAvAC2wLMAr0CqgKXAokCfQJwAmICVwJNAj0CKgIcAhYCFAIPAgkCAAH0AeYB4AHlAeoB4wHQAbkBogGIAWQBOQEOAOUAvACUAGsAQAAQ/+H/uP+T/2n/Of8N/uv+zv6u/or+af5N/jb+IP4K/fT93P3A/aT9iP1s/Uv9J/0C/N78vPyc/IH8aPxM/Cj7//vV+6v7fftL+x36+vrd+r76lvpp+jn6B/nX+az5hfld+TP5C/jp+Mf4nvhx+En4KPgH99/3s/eJ92H3N/cM9uH2tPaB9kz2GPXp9br1ifVa9TD1B/Tb9K70g/Rd9Df0DvPi86/zefNH8x/y//Lb8rDygPJP8iDx8/HI8Z7xcfFC8RXw7/DO8K7wkPB28F/wR/At8BLv8+/O76bvhO9r71fvQu8u7xzvCO7v7tLuuu6o7pjuhu5x7l7uT+5E7jvuMu4r7ivuLu4w7ivuIO4W7hHuEO4S7hnuI+4t7jjuTu5x7pruu+7Q7tru3e7e7uTu9e8R7zHvVe+A77Lv4/AM8DLwW/CK8Lzw7/Ei8VPxgfGw8eTyGPJH8nDynPLL8vjzIPNH83HzofPV9Az0QPRo9Ib0rfTu9UH1lPXc9h/2ZPao9uX3HfdU94z3yPgK+Er4ePiK+I34k/ie+Kn4svjC+N35Avkt+WP5q/oM+or7Hvuz/Df8rf0n/Zv96f4H/hv+U/6q/vf/JP9B/03/Jf6t/gX9d/0q/RP9F/0y/WH9kv20/cr95v4d/nD+zP8J/vr+mP4X/b79sf3b/hP+Qv5m/oL+n/7I/vL/A/7l/qT+Xf4W/cT9Zv0W/O786fz0/Qr9N/15/bP9z/3W/eD99f4H/gn+Av3//gD9/v32/ev91/2w/Xr9S/00/S/9Ivz6/LX8XPv++6z7dPtZ+0j7Kfr1+rX6evpI+hb52/mW+U75FPjs+Mn4kfg799b3e/cq9tH2ZvX39Zn1T/UJ9Mn0p/S09NX0zvR98/rze/Mb8sbyZvIC8a3xZPEY8MPwe/BK8CPv8++774vva+9T7zvvIe8A7tnuvu697sbutO6I7nruue8q74Xvpu+n76zvuO/B78rvzu+U7sntRes66SfnnucI52boUelK6hnq3eux7G/s0uzP7KTsj+ye7L3s2uz27Q3tG+0m7TntWO2F7b7uAO5B7nnuq+7e7xLvPu9k75HvyfAB8CvwUfCB8MHxB/FL8YzxzvIR8lHyjvLK8wfzSfOR89r0H/Rh9Kr0+/VP9Zn10vX89hv2M/ZL9mv2lvbE9vH3GvdC92n3i/es99T4Bfg7+HL4pvjY+Qv5QPl3+a/55foX+kz6hPrA+v37O/t6+7z8AvxL/Jf85v01/YP9zP4Q/lD+kP7S/xT/VP+T/9YAHwBrALgBBwFYAaYB8AI3An0CwgMCA0EDhQPKBAcEPARzBLIE8AUkBVQFhQW1Bd0GAwY2BnIGpgbSBwcHSQeDB7YIDQi8CbEKlQsYCzAK+wqRChAJwgnzCpcLNAtJCsoKHgmwCZQJoQmyCcYJ5woLCiQKMwpACk4KWApdCmcKewqXCrMKzwr0CzYLnwwaDG8MbwwvC/wMEwxZDIAMcgxxDMMNTQ2iDXAMyQwEC2YLAwrNCq8Klgp5CmMKaAqKCrQKzQrPCsIKtQqyCrsKygrUCtEKygrKCtUK4QrhCtkK1AreCvQLBQsDCvIK5ArpCwALGgspCzELNQs5CzYLLQseCw0K/ArqCtgKxgqwCpcKewpiCgUJ7QngCdgJ0AnJCcUJxAnECb8Jqgl3CSYIywiKCHQIgAiXCKkIrwioCJUIfghrCF8IVghNCEgISwhRCFUIXQhxCJAIsQjJCNIIzgjDCLMInAh0CDkH+wfLB6kHjAdvB1kHTAc6BxkG7AbGBqgGiAZbBicF9AXHBZ4FeQVYBTkFHQUKBQAE9QTfBLoEjwRlBD0EIAQSBBIEEQQMBBUEOARpBIQEeARdBFAEVwRhBGgEfASmBNUE6wTkBNEExAS5BKcEiwRqBEEEEAPiA8QDswOlA5QDiwOPA5EDfgNbA0ADOgM5AycC/wLNAp8CegJdAkgCOAIpAhQB+AHVAbABjAFvAVMBNwEcARABFwElASIBAQDQAK0AqQC2ALYAnwCDAHUAcQBlAFIATgBmAIUAigBqADP/9//A/43/X/86/yL/F/8Q/wL+5v7B/pn+cf5I/ij+Hv4o/jT+Mv4q/iv+Mf4m/fj9qP1F/N/8gfwp+877avsL+rf6ZfoE+Zv5RPkE+MD4a/gg+AH4CPgN9/f30vex95D3Yfck9uX2qfZu9jT1/vXN9Z/1ZfUM9JD0DfO085bzjPNo8yby6PLB8qPyfvJM8gzxsfE78MHwWvAF76rvO+7B7lruK+5L7ofuY+1/7A/qwuol6ijqVupf6lHqTupO6jPp/Om/6YPpQOjx6KPoXegW58nngedH5xPm1+aQ5krmCOW25UnkyuRT4/PjrON842jjZ+Ne4zji+uK74oHiQOHu4ZnhVeEp4RjhJOFJ4XzhqOG54aXha+Eg4Ozg7+Eb4UThTuE/4S7hIOEO4Pvg6ODO4KDgZuA54CbgI+Af4B3gIuAj4A/f5d+436HfrN/e4DHgkuDj4RLhK+FA4VDhQ+ED4JzgNN/m37vfrt+9397gA+Ag4DngXOCT4ODhPeGq4hnieeLC4wDjReOS49zkIuRv5M7lOuWp5hLmc+bJ5xXnX+es5/XoMuhj6IzorejC6MbotOiL6F3oT+iF6QTprepg6wvrnewL7FzssO0Y7Xrtt+3h7i7usu9F77Hv8vAt8Hvw0fEa8VLxfPGd8cHx+PJP8rfzEvNW84vzufPb8+bz6vP/9DL0d/TA9Qr1XPWx9fv2NPZs9rD3Bvdt9+P4Yfjc+Uz5rPn7+jn6bPqi+uP7KPtq+7b8G/yI/Nb8+v0Z/V790f5Z/uT/cP/8AIEA/AFtAdICIQJgAp4C7ANRA9EEaQT/BWsFpQXQBhsGiwcHB3sH7AhmCOUJYgnXCkYKsAsHCzYLQQtlC/IM8w4JDtQPZBAEEK4Q9hCqEDIP/Q/VDycN+w0bDTEOCg70D5YQGRCdEP8RIREgESMRJBEVEQcREREjESQRGxEkET0RSRFCET0RRhFREVcRYxF6EY8RlRGTEZURmBGXEZYRnBGiEZ0RkRGQEZ8RuxHaEfQSAhIGEhMSPRJ4EqcSuBK7EsgS4BL3EwsTHRMuEzoTShNnE44TsBPFE88T0hPNE8sT1hPuE/8T/RP0E/UUABQFE/wT8xP+FCQUXRSYFMEUzhTIFMgU3RTzFOwUxBSZFIUUbxQSEzwSAxCtD20OSA1QDNENGA4ODygP6hBGEHkQphC6EKsQkRBrEBcPkw8yD0EPmQ+6D14OvA4tDcoNjQ2SDewOVQ5TDcQNCAySDGcMSAwaC/wL+AvwC84LqwueC5ILagsvCwMK7grZCrIKhApdCjkKEwntCcgJpwmJCW4JTQkfCPsJCAlLCYwJiglBCOkIqwiHCGkITwg+CDEIHAf8B8sHhwdDBzEHagfAB9sHlQclBtYGuQanBoQGXAZHBjwGKAYGBeUFyQWrBYMFVgUvBREE+gTlBMwErgSQBHkEZgRMBCgECgQEBA8EFAQIA/sD/AQEA/wD4gPGA7gDsQOkA44DdgNdAz4DHAL/AugC0gLAAroCwgLMAs8C0QLXAtkCzQK2AqICmgKXApoCrALNAu0C/gMAAwADAQL+AvgC+AMAAwsDEgMZAyIDKgMvAzgDSgNlA4QDnwOtA6MDgwNoA3oDvQQCBA4D2wOhA58D2QQUBBoD7wPDA7gDxAPNA8UDtQOoA58DlQODA2oDTgM4AysDIQMSAv0C6gLdAtACwQKyAqQCkQJ0AlcCRAI6Ai8CHgISAg8CDQICAfIB4gHUAccBvwHAAcYBwwG1AaABjQF3AVoBOAETAOwAwQCUAGkAQQAW/+r/vf+O/1z/Lf8I/u7+1f6y/or+Zv5L/jf+JP4T/gL97v3W/br9nf19/Vf9L/0K/Oj8yPyq/I/8d/xc/Dn8Evvq+8H7lPtj+zj7FPr0+tD6p/p8+k/6H/nx+cr5qvmJ+WP5PPka+Pj4z/ii+Hj4Uvgp9/r3yPeb9273PvcM9t/2tfaJ9lv2L/YJ9eL1t/WJ9V71N/UO9OP0uvST9G30Q/QU897zpvNx80XzH/L38snymfJp8jvyD/Hl8bvxjvFd8S7xBvDk8MTwpvCL8G/wUfAz8Bbv+O/V77Dvju9372XvUu8/7y3vGu8D7ufuzO617qPuke597mvuXu5X7lDuRe457jLuMO4v7iruI+4e7hvuGe4b7iPuMe4/7k3uYu5/7p3utu7F7s3u0+7Z7uTu9+8Q7y7vVe+H777v7/AY8D/wa/Ca8Mfw8vEe8UzxfPGy8ezyJfJW8oHyrPLW8v3zJPNT84rzxPP89DH0X/R/9Jj0vvUA9Vb1qfXy9jX2dvaz9uv3Jvdj95731PgL+EP4c/iS+Kv4y/jy+RT5LflB+VX5ZPlv+Xr5jvm0+fT6UvrE+z37v/xO/Nr9RP2G/cL+Fv59/tj/Jf93/8L/zf9o/qz96f1g/R/9GP02/Wb9mv3M/gL+Pv58/r3+//8u/yT+0/5l/hb+A/4c/kb+df6q/t7/D/84/1L/R/8N/rb+Yv4e/eP9rv2K/YL9kv2w/dv+GP5X/n3+gP5x/mf+Zv5i/lf+Uv5Y/mH+Xv5P/jr+IP37/c/9rf2a/Y39dP1I/Qv8vfxh/Ab7w/ud+3/7T/sI+rv6efpK+in6Cfne+aL5Y/kt+Pz4ufhd9/v3qfdg9wf2l/Yn9dP1nfVx9UX1J/Uj9Sf1C/S79Evz4vOW81XzDPK68nDyMvHw8aPxVvEY8OHwo/Be8CTv/e/k78rvqu+E71vvPO8t7yXvC+7i7tHu+u9M75DvpO+c75zvru/H79vv4O/C71rucuzo6t3o1+eJ51XoAOjy6cTqgOtN7Bjso+zZ7Obs/+0p7U7tYe1p7W3tb+1s7Wjta+197aPt2O4P7kDuce6k7tXu/+8s72bvqe/k8A/wN/Br8Kvw7fEq8Wfxp/Hq8i7ycPKu8ujzKPN088b0EfRU9Jn06fU/9Yj1uvXa9fH2C/Yr9lP2fvap9tP2//cs91b3evec98P38Pgj+Fj4ivi6+O35I/ld+Zn50voI+j76d/qy+vD7Lvtr+6n76/wz/H78y/0Z/Wf9sf31/jD+a/6o/uf/I/9g/6L/6wA3AIUA1AEkAXABtwH9AkIChgLFAwIDRQOIA8MD9wQuBG4ErQTkBRoFUgWGBbEF3AYUBlUGjQa8BvAHMQdqB5QHzwhCCOgJkgoaCncKlwpfCeYJmQnuCtwLwQvzC1YKZAmtCWcJawmGCaMJwwnkCgEKFwoqCjsKRQpLClQKZwqBCpwKtQrcCyMLjwwEDEoMQAwCC9wL/QxIDHEMZgxnDLkNRg2mDYQM5QwcC3QLCQrQCq4Kkgp3Cm0KgAqpCtEK4grbCsgKuQq5CscK1wrcCtMKygrLCtYK3QrbCtUK1grhCvYLCQsSCwwLAwsGCxoLMgtAC0ILPws7CzQLKgsfCxMLAwruCtYKvgqkCoMKWAorCbgJkgl/CXcJcAltCXMJiAmiCbEJogltCRoIwwiDCGoIbwiBCJEIlgiOCH4IawhXCEEIKggdCCAILwg7CD0IPwhMCGUIfwiQCJMIjQiDCHgIYwg6B/4HvgeOB2wHSgclBwoG/wb3Bt0GtAaKBmkGSwYpBgMF2wW0BYwFagVOBTMFGQUEBPkE7gTVBK0EgQRcBD4EKQQfBB0EGQQSBBoEPwRuBIMEbwRPBEIETQRaBGQEewSoBNUE5ATRBLYEpwSbBIQEXwQ6BBgD9QPPA68DmgOIA3UDagNrA2wDXQNAAyYDGAMMAvMCzQKgAnQCTQIyAiUCHwIYAgUB6AHDAZsBdQFUATUBGAEDAQABDAEWAQoA4wC0AJQAiwCMAIEAZwBQAEsATwBMAEAAPgBSAG8AfQB0AFoALv/r/5T/Qf8K/vL+7P7j/tD+tf6a/nz+V/4o/gH98P3x/fP98P32/hL+Lv4l/ej9if0j/MX8cPwd+8b7bfsa+tH6gfog+bn5aPky+Pv4svho+D74Nvgu+A/33/ez94/3avc89wL2vvZz9ij13/WY9Vj1JPTw9Kf0TfP/89TztvOE8z/zAvLW8qXyYvIX8dHxgfEa8KXwPe/k74jvFu6U7h7t4+357izuAO0i68jqmeoR6hjqPupD6jPqK+oi6gHpyOmJ6UrpAeix6GboIefY54nnP+cC5srmieZC5f3lveVx5RDkoeQ149XjgOM94xfjC+MB4uLirOJv4jDh6eGb4VLhHOD54OHg2ODk4QLhJuFB4UbhJuDr4LzgvuDu4R7hJeEF4NngueCn4J7gleB74EjgCt/b37/fqd+O337fht+Y35bfd99R30TfXt+c3+7gQuCH4LXgzuDW4MvgouBX3/zfq99332LfZN9535zfxt/x4B3gUeCR4NzhM+GW4f3iVuKa4tXjGuNs47zkB+RZ5LrlJuWO5e/mTOao5wLnWOeo5/DoLuhi6Izoq+i86LvooOhp6DLoMOiF6SXp3+qP6yzrs+wb7G3sx+0x7YntsO3H7hXusu9j7+DwHvBP8Jjw8fFA8XzxqvHN8e3yHPJs8tDzKvNt86Dz0fP39Af0BfQN9DL0bvSy9Pr1SfWd9ev2MvZ49sT3Gfd49+f4afjy+XT56PpH+or6tvri+x37Yfuh++f8QPyg/Oj9Ef1C/aL+K/65/zv/vgBHAMsBQAGrAgoCWgKdAuYDSQPQBHUFJQW1Bf8GCwYZBmAG2wdfB9MIQAi3CTQJrAofCo8K+wtXC40LnAu2DDsNUg6gD5QP/xA1EIQQzRDGEHMQAw9tDn8NbgzbDTAOHA8AD6AQMBDGETMRUBFDEUMRURFTEUYRQBFFEUwRVhFuEYURhhF0EWkRcRGBEZARpBG9Ec4RzxHHEcQRxhHJEdAR3BHjEd8R1xHXEeAR7hH/EhMSIxIuEkISbxKsEtcS4xLjEu8TChMiEzETPRNNE18TdBOOE6sTxBPZE+YT6RPgE9YT3BPxFAQUChQLFBMUHhQgFBgUERQbFDsUbRSoFNYU5RTdFNwU8xUOFQgU4BS+FMMUxRRoE3USGBC1D4YOhA2wDU4NqA6jD7QQYRCeEKwQrhCVEGIQOxAqEAUPtA9pD2kPnw+pD08Ovw5FDfoNzw3FDdsN5g2zDVcNIA0oDSgM1gxOC+0L0wvRC7sLowuiC6MLhQtMCx0LAgriCrQKjQqBCoIKdApICgIJuQmGCXMJaQlHCRQJCAlHCaUJzgmbCTgI5gi7CKUIjwhxCEwIIwgAB90HsAeAB3AHlQfLB9MHlQc8BwAG5QbJBpwGcAZVBkYGMwYcBgcF8gXTBaQFbwVCBSYFGwUUBQIE3wS3BJoEiAR4BGAESgRBBEEEPgQ1BDIENwQ5BCkECgPvA+AD1QPBA6UDigNwA1IDNAMZAwEC5gLPAskC1ALgAuEC3wLkAu0C7QLhAtMCygLDAsACzQLrAwoDFQMPAwYDAwMAAvcC8ALyAvwDBAMKAw0DEAMTAxoDKgNFA2ADdAN+A4EDfAN3A4ADpAPXA/ID2gOjA4UDpAPmBBMECgPgA78DuAO9A78DvAO6A7gDsQOfA4QDZQNLAzsDLwMgAw0C+wLtAt8CzwLCArcCpAKDAl0CRAI3AisCFwIHAgEB/AHuAdgBxQG5AbEBrAGrAawBpgGUAX4BbAFbAUYBKgEHAN8AsQCCAFkANAAO/+P/tv+H/1n/Lv8M/vH+0v6r/oT+Y/5M/jn+Kf4c/g/9/v3o/c39r/2L/WL9Of0V/Pb82Py8/KH8h/xq/Ej8JPv/+9b7qPt7+1P7MvsQ+un6wPqY+m/6QvoV+e/50fm0+ZD5avlE+R748/jF+Jr4cPhB+A332/ev94b3V/cn9vz21/ay9oz2aPZI9ib1+/XL9Z31c/VI9Rv07vTC9Jj0a/Q49ADzx/OQ813zL/MC8tTypvJ58k7yJPH88dPxp/F48UrxIPD78NvwvfCg8IDwXPA58Brv/u/g777vnu+F73PvY+9R7z7vKe8T7vnu3u7F7rDune6J7nfubO5m7l/uUu5C7jTuLO4n7iLuH+4g7iHuIO4i7ivuPO5P7mDucu6H7pvurO647sTu0O7f7vPvCe8i70Dvau+h79rwCvAy8FrwhvCx8Nfw+/Ei8U7xf/G38fPyLPJd8orytfLd8wDzJ/Nb85rz2fQP9D/0Z/SD9Jz0xPUI9Vz1rvX59kH2hfbB9vf3Mvdy96333vgO+ED4bfiT+Lv47/kn+Vb5evmc+b351fng+eD53vne+ev6DfpG+pT6+Pt1+/38efzg/UX9t/4t/pn/Bv+IAAUANf/a/wT+Bv1A/Of89/05/XL9i/2j/eL+SP6v/vn/Jf83/yv/AP7I/p7+hP5z/m7+if7J/xf/Vv95/3//Yv8j/s7+ff5D/ij+J/49/l/+hf6t/tv/DP8t/y3/Ev71/un+6P7i/tX+z/7S/tX+yv6z/pX+c/5N/ir+D/33/dP9of1u/T/9BPyy/FT8CfvZ+637bfse+tT6mvpt+kv6MPoR+d/5nPlZ+SD44viU+D/38ven90r22fZu9if2A/Xp9cX1lvVr9Uj1IvTo9Jr0SPQD88nzjfNI8wPyxfKJ8kXx/fG78XzxNvDo8KPwcfBP8DDwDu/r78bvo++H727vUO8t7x7vPe9/77vvz++/76zvse/L7+jv/PAG7/3vou6T7KbqSehg56HoBOjq6cLqc+sj69jsbOzM7RXtZO207ert++337e7t5e3V7bntnO2P7Z/txe3y7h/uT+6C7rDu2e8J70nvi+/A7+rwF/BQ8IvwwPDz8S3xcPG58gbyU/KX8s/zCfNR86Tz9PQ89IT01/Us9XP1ofW69c716/YT9kH2bPaS9rj25PcV90L3aveO97H32fgG+Db4Z/iZ+Mz5BflB+X35t/nu+iX6XfqX+tT7EvtN+4f7xvwM/FX8n/zr/Tz9jP3T/gz+QP54/rP+8P8u/3D/uAADAFAAnwDuATgBewG+AgMCRgKFAsIDAwNFA38DtQPuBC8EbwSqBOQFIQVaBYoFuwX5Bj8GewasBuAHGwdPB3YHoQfkCDsImQj/CWwJtgmnCVYJPgnWCwMMEwxYC7gKrQnMCVcJPQlQCXEJlQm4CdYJ8AoICh4KLAozCjwKUAptCo4KsArdCyYLjQvxDCUMFAvdC8QL7gw4DGUMYQxlDKsNJQ1/DW0M7Qw6C5gLJQrgCrYKmQqJCo4KrArUCvMK/gr4Cu4K5groCvIK+QryCt8K0QrRCtgK2wrZCtgK3ArhCukK+AsICw4LCgsHCxILJws5Cz8LPgs5CzILKQsgCxYLBgrvCtQKugqbCnAKNQnyCW4JQgkuCSUJHQkaCSYJRwlzCZAJhglSCQMItwiCCGgIYwhnCG4IcwhxCGgIWAhBCCIIAAfrB+8IAggUCBsIHggoCDgISAhQCFEITghICD4IKQgAB8UHigdbBzYHDAbeBroGrgauBqQGhwZgBjwGHgYFBe4F0gWtBYQFYQVIBTEFGAUEBPgE6wTOBKEEdQRVBD8ELgQiBBwEFQQQBBoEPgRrBHsEYgQ7BCkENARHBFwEfgSvBNkE3QS/BJwEiAR3BFYEKQQGA/ED3wPDA6IDgwNsA1oDUQNQA0wDOgMdAwAC6ALOArACjwJuAksCJwIKAf0B/QH8Ae0BzQGgAXIBTQEyARgA/QDqAOoA9QD2AOAAuQCTAHwAbwBgAEgALQAcABsAIwAoACkAMABBAFYAbACHAKAAmABN/8b/Nv7W/rX+t/62/qL+hP5o/lD+M/4M/ef9z/3A/bD9qf3D/gD+Of46/fP9gf0L/KL8SPv3+6z7Y/sc+tX6ivoz+dr5kflh+TX4+/i7+I34dvhg+Dj3/vfD95T3cfdQ9yL24PaT9kP17vWQ9TT08/TM9KP0ZvQk8/DzwvOD8zjy9/LC8oPyMfHh8Z/xW/D/8JHwJ+/G71/u6O5m7fDtqe2i7bLteOyu64Lqf+oJ6grqJuoo6hrqD+n76dDplOlW6RXoyuh46Czn5uec503nAubB5oPmP+X25bHlcOUp5NTkduQX47rjYuMT4tviu+Kl4obiWeIi4eLhmeFO4RDg5+DL4LDgmOCM4I/goOC+4Nrg2uC34I3giOCw4N/g6uDK4JngceBb4FPgSuAr3/LfsN9+317fPN8U3vje+d8K3wze997i3uzfHd9p37nf/uAw4FDgXeBV4DbgAd++333fSt8t3yXfLN9E323fot/b4BHgSeCH4NHhJeF/4driLeJx4q/i9uNJ46Dj9eRM5KvlDOVo5cHmIOaL5vjnWuet5/LoL+hk6I/oqui26K/oiuhG6AfoCeh06S/p/eq0607rzuwx7IHs3e1L7ajt0+3t7kDu4O+P8ALwOPBn8LfxF/Fp8aXx0/H68hvyRvKK8uLzN/N386nz2fQB9BX0FvQd9D30cvSv9O/1NvWF9dj2KvZ/9tf3LveK9/b4cvj0+XT58/pt+tD7EPs6+2r7pfvk/Cf8d/zM/Q79Qf2J/f/+kf8Z/5AACQCLAQgBdAHWAjUCiALTAywDrgRaBRwFzgZFBmkGXAZlBrQHNQe3CCcIlAkKCYAJ7wpbCskLOAugC+0MBwwIDFwNYA7ZEAcQbRBTEFcQphDaEJIPzw7IDa0Mxwx9DPsN7g7UD4UQKhDTEUwRbxFhEWEReBGDEXURYhFeEWwRihGsEcIRwBGwEagRrxG6EcMR0hHoEfoR/xH7EfkR+BH5EgESDxIbEiESIhIjEiMSIhIrEkESWRJsEoQSrxLiEwETBRMFExUTMRNHE1ITXBNvE4YTnROzE8oT3xPwE/kT9xPuE+kT7hP9FAoUFBQfFCsUMRQtFCUUIhQpFEAUcBSwFOgU+xT0FPUVERUrFSAU+BTpFQYVDBSSE3AR8xCOD3IOiA3TDZsOIA8xEDcQwhDeENoQ2hDEEIwQVhA3EBYP2g+oD7YP9BALD78PMQ6tDlgOJQ4BDdkNoQ1jDVkNsA4uDkoNuAzKDBQL0AvEC68LlAuRC5oLjAtnC0QLKQsBCswKrAq8CukK/wrXCm8J8QmaCYYJkwmACUIJIgldCc4KCgnXCWMJBQjgCNkIxwidCGYINwgZCAcH7wfLB6sHoweoB5kHbgc7BxYG+wbWBqYGewZcBkUGMQYhBhgGDQX0BcoFkwVcBTcFKgUrBSEE/wTTBLUErQSrBKAEiQRvBFsEUgRWBGQEbwRnBEoEJgQNBAAD9APeA8ADoQOEA2kDUAM8AyUDBgLpAtwC4gLsAuwC5wLqAvQC+gL4AvgC/AL8AvQC7gL1AwMDBgL6AvAC8gL7Av4C+QL0AvUC+gL9Av4C/gMAAwoDIgNCA1sDYQNdA2QDfAOZA68DxQPpBA4EDgPeA6UDngPPBAcEEgPuA8QDsgOzA7cDuQO+A8QDxAO2A50DfgNiA00DPgMuAxwDCwL7AukC1QLFArkCqQKKAmUCSgI8Ai8CGQIDAfYB7AHbAcEBrQGjAaEBoAGfAZkBiwF1AV4BTQE/ASsBDQDnALwAkABnAEQAI//+/9T/qv+C/1z/Nv8R/uv+xP6d/nv+Yv5O/j3+MP4n/h3+Df32/dv9vf2b/XT9Tv0t/Q788PzT/Lj8nPx8/Fr8N/wT++r7vPuR+277Ufsw+wn64Pq5+pL6Z/o6+hT59PnV+bH5iflh+Tf5DPjf+LX4jfhg+C/4Avfd97v3lvdt90f3I/b/9tn2tPaR9mn2OPYB9c31oPV09UP1EfTh9LT0hPRR9Bvz4/Or83TzQPMQ8uLytvKJ8l7yNPIL8eLxt/GL8V7xNPEN8OrwzfCv8I3wZ/BB8CLwB+/t79Dvsu+Z74XvdO9j70/vOe8h7wnu8O7X7r/uqe6V7oXue+517m3uXu5L7jzuMu4q7iPuIe4k7inuKu4u7jruTu5j7nXug+6R7p7uq+667sru2+7w7wjvIu89717vi+/D7/rwKPBP8Hjwo/DJ8OrxDPEy8V3xjPHB8fnyLvJc8ojyt/Lj8wjzL/Ni857z1/QI9DT0WvR49Jb0xPUK9Vr1p/Xw9j32ifbM9wf3Q/eA97b35fgS+EP4cvic+Mz5CPlE+XT5nfnK+fz6JvpA+kz6UPpO+k36Vfpr+on6tPr2+1D7tvwe/In8/f1z/ej+af8A/4r/wv90/qr9sPzv/Lf9CP2M/dX9vf2K/Zr+Bv6W/wf/Q/9c/2b/af9p/17/N/73/sL+wv78/0b/d/+D/3v/a/9P/yL+7/7J/sX+5/8e/1L/dv+Q/6//0P/g/9P/tP+b/5H/iv93/1z/Qv8x/yP/Ef75/tz+uv6X/nv+ZP5A/gH9tv19/Vz9NPzr/I38PvwI+9L7i/tA+wf63Pqv+n36Ufor+fn5s/lp+Sv49/i6+HP4Kffd94T3HvbB9oP2ZfZR9i/19vWw9XD1QPUU9Nv0k/RN9Bbz6PO183rzPvMB8sHyfPI58ffxrfFc8Q/w1PCo8IHwW/A48Bbv8+/P76zviu9t72Xvgu/A7/3wFO/+79fvwO/F79fv7PAN8DnwL+9v7a3rQOkZ6AzoN+kN6e7qo+s/69PsUOyw7QftZu3D7gPuGu4W7gzuBO3z7dDto+2H7Yztqe3Q7fvuLe5i7pHuu+7v7y/vau+W777v9PAz8GnwkvC88PfxQPGR8ejyPvKI8sDy8vMw833zzfQY9GP0tfUI9U71fPWY9a/1zvX49iX2TfZx9pj2xvb39yb3UPd295v3wPfq+Bj4Svh8+LH46Pki+Vv5k/nK+gH6Ofpz+rD67vso+1/7m/ve/Cb8bvy7/RD9Zf2t/eT+E/5F/n/+vf79/z//hf/OABkAaAC2AP8BQQGBAcQCBwJGAoQCwwMDAz8DdwOyA/MENARyBLAE7wUqBV8FmAXbBiMGYgaZBs0HAgcxB1gHhAe2B+QIDghJCJsI3AjkCNUJHgoCCzwMJgxEC6EKqwnTCUsJFAkWCTYJYAmGCaYJwgndCfcKCgoWCiIKOwplCpcKxwr8C0MLnAvrDAoL7gu9C64L2gwiDFIMXAxnDJ4M+g1DDUQM8QxqC9oLXgsECs8KtgqzCsQK4gsACxQLHgskCyoLKwsrCywLJwsWCvwK6QrlCukK6grnCucK5wrgCtkK3grwCv0K+QruCvILCQslCzcLPgs9CzcLLQshCxMK/wrjCsMKogp9CkgKAQmyCTAJBgjxCOoI6AjqCPcJFwlBCWAJWgkrCOcIqgiACGUIUQhECEIITAhVCFYISQgvCAkH3gfBB70HzQfgB+wH8gf6CAQIDAgQCBUIGwgaCBAH+AfRB58HbAdBBxgG5wauBn8GagZrBmwGXwZBBh0F/wXsBeAFzQWqBX0FWAVCBTAFGgUFBPcE5wTGBJYEagRNBDsEKgQcBBYEEgQQBBoENwRZBGIERgQdBAcEEAQoBEgEdASoBMsEyASmBIMEbARUBCoD+APWA8wDyAO1A5EDawNQA0QDQwNCAzMDFQLwAs4CsQKSAnICVwJCAioCCAHmAdMB0gHWAcwBqQFzAT8BHgEOAPwA4ADFALwAwQC/AKgAiQByAGMAUAAyABL/+f/q/+X/6P/yAAYAIAA4AEoAZQCdAOcBCQDHAB//Vv7E/oj+h/6L/nr+V/40/hj9/v3i/cX9qf2K/Wv9Y/2P/ez+RP5X/hX9nP0W/Jj8K/vV+5X7WvsX+s76hvpB+f35wPmT+W75RvkY+O34zvix+In4TPgC9733iPdf9zH28vap9mD2DvWm9Tj04/Sz9Iz0VfQU89zzp/Nl8x3y4PKu8nDyIfHT8ZPxT/D18IzwIe+270Luyu5W7erti+1H7Rfsx+wi6zzqcuoN6gLqEOoP6gPp8+nW6aLpZOkl6OPolehB5/Pnqudf5xHmxeaA5j7l+eWy5W3lKuTk5JjkROPt45bjP+Lt4qficOJH4iPh++HK4Y/hTOEM4NzguuCf4IDgXuBA4CrgKOBF4HTgkOB/4FTgPOBQ4HbgiuB+4GHgQuAq4BzgC9/p367fa9823xDe5t623pHehd6E3n3eb95y3pbe2d8o327foN++38nfw9+q34LfU98p3wje897n3uje998X30vfi9/J3/zgLeBq4LfhDuFk4bfiB+JQ4pPi2+Mt44jj5eRB5Jrk8OVD5ZvmBOZ75vLnWeer5+/oLOhj6I7oqOix6KLocegi59zn5Ohd6SnqBOrD62Lr5exK7J3s+u1s7dPuEO477o/vHO+v8A3wP/B58NbxPfGN8cHx7fIZ8kPyb/Kq8vTzP/N786zz2PP99BT0H/Qy9Fn0jvTF9Pz1PfWK9d72NfaS9vH3T/ew+CD4mPkK+XX57/qB+xD7dvut+9P8BPw//ID8yP0S/VT9kf3n/mX+9f91/+QAVgDQAT8BoAH+Al4CtgMIA24EAwS+BX4GGgZzBosGiQarBwsHiwgDCG8I4AlXCcgKNQqlCxcLgQvoDD8MXQw+DFMNMA7HEDgQthBvEDwQhxDXEIIPcw4iDQcMYQxVDOoN3Q7ID30QFBCmERgRTBFXEWgRiBGcEZYRhhGFEZoRuhHaEewR7hHqEewR8hH2EfcR+xIIEhcSIhIqEi8SMBIuEjESPhJPElwSZBJkEl0SWhJoEoYSoxK5EtAS8xMXEycTJhMpEz0TVhNmE20TehOQE6kTvhPRE+cT/hQOFBEUCxQFFAYUDRQTFBcUIBQvFDcUNBQpFCQUJBQpFDwUbRS1FPIVCBUIFRcVPBVSFTsVEhUOFTIVJhSDEz0RtxBbD0gOZw3NDcoOhQ+qEJkQ+BD3EPcRFBEhEPsQuBB5ED0QAA/gEAYQWxCIEEoPtA8VDqYOZQ4xDe8NoQ1zDacOSw76DxUOWw0zDEkL5gvQC7kLlwuLC5ALjQt7C2sLYAtBCwoK4ArrCyULWgtICtwKQgnPCbMJywnBCYIJWAmNCf4KNAnvCWcJBAjrCPII4gi0CH4IVghBCDUIIgf8B8oHnAd4B10HRgcyBxsG+gbRBqoGigZuBlEGOwYuBigGHwYNBfEFxgWOBVsFPwU3BSwFDQTmBM8EzQTQBMUEpwR/BF0EUwRlBIUEmASPBG4ERwQrBBoEDAP7A+IDxQOnA40DdwNjA0kDKQMIAvQC8QLzAvIC7QLwAvgC/wMEAw8DIQMpAxoDAALvAu4C7gLlAtsC3wLzAwQDBwL/AvgC+AL7Av0C/AL+Aw4DMQNdA3wDfgNwA28DjAO2A9ED4QP8BCUEOAQWA9cDuAPTBAIEEgP7A9wDzwPKA78DsQOwA70DygPIA7YDlwN2A1oDRQM0AyMDEgMDAvAC2gLGArYCpQKKAmkCTwJDAjgCJAIMAfkB6QHTAbcBnwGTAZIBkQGMAYEBbgFXAUMBNQEmAQ8A7ADDAJgAcgBRADUAFf/u/8H/mf93/1j/Nf8M/t/+tf6S/nj+ZP5S/kP+Ov40/ir+F/3//eT9x/2m/YT9ZP1G/Sj9Cfzr/ND8s/yU/HL8UPws/AP71vuu+477cftR+yr7APrW+qv6fvpT+iv6Cvnp+cb5ofl6+VT5LfkG+OH4vviY+HD4Sfgn+Aj36ffG96L3e/dR9yP29fbJ9pj2XvYi9ev1vvWS9WH1LfT79Mz0m/Ro9DPz/fPG847zWvMq8v3yz/Kf8m/yQvIW8ezxwfGW8WvxQfEa8Pfw2fC78JjwcvBO8DDwFu//7+bvy++x75rvh+9172DvSe8x7xrvAu7o7s3utO6g7pLuiu6E7nnuae5Y7kzuQ+467jLuL+4z7jjuPO5C7k/uY+537ofuku6d7qjutu7I7tvu7u8E7x3vOe9X73nvpu/b8A3wOPBh8Izwt/Da8PrxHvFI8XTxoPHQ8gXyNvJh8o3yvPLq8xPzPfNt86Hz0fP89Cb0T/Ry9Jb0yfUQ9V71pfXq9jb2hvbP9xD3TveI97n35vgX+Ez4ffiq+N35GvlV+YP5rPng+hv6T/p4+pf6r/rA+tD64vr1+vz6+fr8+xf7SfuI+9D8I/yC/O39af3r/lP+dv4+/bP9BvyN/Jj9M/35/l7+Kv2t/W79qP4y/sT/Of+W/+MAIwBLAEkADv+v/2L/Vf99/6b/qf+O/3v/g/+Z/6X/nf+R/5z/yAAEADAAPAA6AEMAXQB2AHwAcQBgAEkAJ//1/7z/iP9f/0D/Kf8X/wT+7P7R/r3+p/55/in90P2V/Xz9X/0d/MX8evxE/Ar7v/t3+0b7H/rm+pz6W/ot+gD5wPl1+TL4/PjE+IH4N/fr95r3Rvb89sr2sPah9of2U/YJ9bn1ePVD9Qj0wfR89Ez0L/QR8+XzrPNs8yjy4fKa8lTyCPG38WrxK/D48Mrwn/B68FnwNvAQ7+jvxe+t76zvzPAE8DjwRvAp7/rv1O/A77nvvu/c8BLwGO937eLrpOmN6GToW+kO6fbqzOt/7BDsduy37OvtKO1t7aLtuu257bLtru2n7Y/tbO1W7V3te+2h7c3uA+497m/un+7W7xTvRu9q75bv1/Ag8FfwfvCq8OnxNPGC8dbyLfJ58rDy3/MX817zqPPw9Dn0hfTQ9RL1RvVt9Yz1q/XP9fT2GfY/9mz2n/bS9wD3K/dV93/3qPfV+Ab4Ovhs+J340PkF+Tr5cPmn+eD6GPpT+pP60vsL+z77dfu0+/r8Q/yQ/Ob9Ov1//bL93v4Q/kv+i/7M/w3/Uf+X/+EALQB5AMEBBAFEAYUBxwIHAkYChgLGAwMDPQN5A7kD+gQ5BHcEtgTzBS8FbgWyBfkGOwZ5BrMG5gcQBzkHaweeB8MH3wgJCEMIdAiTCNcJhwqaC5wMBwu7CwEKOgmYCScI6QjfCP0JKQlSCXMJkQmtCcoJ4gn0CgYKKQpiCqkK6wsmC2gLsAvnC/ELzAufC5cLwwwGDDgMUAxkDJEM0w0NDR8M+wyjDCULngswCvEK4ArsCwQLHQswCzsLRgtVC2ULagtlC10LUgs+CyMLDQsECwQLAAr5CvIK6graCsoKywrdCuwK5grXCtkK9QscCzoLRwtHCz8LMQsfCwcK5gq8Co8KZAo3Cf8JuQlvCPsI1gjCCL8IyQjYCOkI/QkYCS0JKgkFCM4Imwh2CFcIOQghCB0ILQhCCEsIQQgmB/wHywemB5kHowezB70HwQfHB84H1QfeB+oH9gf5B+4H1ge3B5EHaAc+BxEG3AafBmgGRgY7BjsGNgYjBgQF5gXUBcwFvQWcBXEFTwU9BTAFGwUEBPIE3gS7BIsEYARCBC0EGwQOBAwEEQQUBBoEKgQ8BDsEHAP1A+ED6gQGBC0EXQSNBKgEoQSDBGYEUQQ1BAgD1AOzA6sDqwOcA3gDTwMzAy0DNAMxAxUC5wK5ApcCfQJgAkMCLQIgAg0B7QHHAa0BpwGqAaQBgwFLARUA9wDvAOAAvACSAH4AfwCAAHAAWgBNAEMALgAN/+7/2f/J/7n/r/+2/9D/8gALABoANQB7AOEBKwEMAHP/n/7s/ov+bv5n/lT+Lf3+/df9uv2l/ZL9d/1P/SP9GP1P/cH+Mf5c/iz9vv01/Kn8KfvI+4f7T/sK+rz6efpH+hr56vnB+af5k/l0+Un5G/jz+Mj4jvg+9+T3lvdY9x723faY9lX2CfWm9Tn04PSo9Hf0OPP087nzhPNH8wjy1PKn8m7yJfHb8ZTxRPDk8H7wF++n7yzuu+5f7f3teezm7GvsCuuY6wLqb+oX6f3p++n26enp1Omv6XbpNejz6KzoW+gH57jnbeci5tXmiuZD5f3lueV15TDk6uSj5FnkDOO642fjFOK/4mriIOHo4b/hmeFs4TfhAeDQ4KrgiuBs4EvgJt/939ffyd/m4CDgSeA94Arf3t/Z3/HgDOAb4B3gFOAB3+rf1N+z34DfRN8M3trep95z3kreL94Z3gPd/d4Z3lPel97S3vvfFd8g3xzfB97j3rjemN6L3ozelN6e3rHe0N7+3zffc9+n39Df/OA+4Jbg8+FJ4Znh6uI54oHixuMU43Hj1OQz5Ink2+Uw5ZLmBOZ95u/nUuel5+roJ+hb6Iboouin6IzoS+f157rn1uhe6TDqC+rK62vr8+xg7LntFe2D7e7uO+517sXvOO+u8APwQvCR8PvxY/Gq8dXx/PIq8lzyj/LH8wjzS/OI87vz5vQI9B/0NvRZ9I70x/T79S/1bvW49gn2Xva79xz3fvfo+GP44/lO+aX6DPqi+0371Pwf/Er8d/yu/On9Kf1t/a/98v5K/sL/SP/CAC8AnwERAXYBzwIrAosC5AM4A6EEMwTeBX8F+wZJBnQGngbrB14H2ghHCLEJJgmfCg4KgAsBC3wL2QwlDG4MhwxTDDsM9w6hEE0Q8RCZED4QehDTEHoPVA4CDRoMvQzcDXAOVA8yD8UQFRBVEJ4Q4REYEUoRexGdEakRrhG9EdYR7hIAEgsSEhIZEiESKRIuEi8SLxIvEjMSPhJPEl4SZhJnEmoSdRKFEpQSmxKWEpASlRKuEs4S5hL3Ew8TMBNKE1ETThNXE2wTfxOFE4sTnBO3E88T3hPtFAUUIRQzFDEUJhQgFCYULxQwFC4UMxQ+FEMUOxQzFDIUMxQ0FEUUehTEFP0VExUdFTsVZBVuFU0VJhUnFTkVBBQ8EvIRgRAzDxkONg2/DfkO4hAEEMkRABDxEPwRMRFYEUQRARCxEGQQIhAEECUQchCeEGoP3Q8/DswOig5YDhgN0g2xDeYOcQ72DvQOOg0gDD4L3AvLC8ALqQucC5wLlguHC4ILjAuEC1QLEgr3CxoLWgtwCyoKnQoeCe4J+QnyCbwJlgnFCiYKSwn4CW0JDgj8CQUI9AjHCJsIgQhyCGAIQggUB9cHlAdbBzYHJwchBxIG9QbXBsEGrwaTBnAGVAZFBjgGJAYPBgEF7AXCBYwFYAVFBS4FEQT1BOcE5ATfBM4EsQSMBGoEXARuBJEErQStBJUEcQROBDMEIwQXBAQD6APIA6wDkwN7A18DQgMpAxcDDQMJAwYDAwMDAwYDCgMSAyIDOQNEAzIDCwLuAuoC8gLxAuMC3wLvAwcDEwMOAwMDAgMJAw4DDAMMAxsDPwNxA5sDqgOiA5gDnAOoA60DrwPEA/EEFwQTA+8D2QPqBAgEEgQIBAQECwQEA+EDtgOjA64DxQPRA8gDrQOIA2UDSwM5AykDGQMJAvkC5QLPArwCqAKPAnACVwJLAkICMQIZAgIB7QHUAbUBmAGGAX4BeQFxAWIBTwE6ASkBGwEMAPMA0QCpAIMAYgBFACgABP/Y/6r/gf9i/0b/J/8A/tb+r/6R/nz+a/5b/k7+R/5B/jX+If4J/e/90f2w/Y/9c/1Z/Tz9Hf0A/OX8yvyu/I/8bfxI/B/79vvR+7D7kPtt+0T7GPro+rn6i/ph+jz6G/n9+d/5wfmj+Yb5aPlJ+Sn5Cfjo+MT4nfh2+FL4MfgP9+f3uveI91L3Hfbq9rT2efY99gn13fWz9YP1UPUd9Ov0t/SA9En0FPPe86nzdvNI8xzy7PK48oPyUvIk8fnxz/Gm8X3xVPEu8Q3w7vDM8KbwgfBh8EbwL/AX8ADv5+/M77Pvne+J73PvWe9A7yjvEe727tjuvO6o7p7ul+6P7oLuce5j7lvuVu5P7kjuRu5K7k/uUu5X7mHuce6B7o7umu6l7rHuwu7X7uzvAO8W7zDvTu9t74/vt+/l8BHwOvBl8JPwvvDi8QLxKvFZ8YbxsfHh8hXySfJ28p/yyvL18x/zS/N786rz0/P79Cb0U/R79KT02vUh9W31svX09jv2hvbM9w73T/eK97v36fge+Fj4jfi9+PL5LPlj+Y/5uvnv+in6XfqL+rj64/sJ+yv7UPty+3/7dPth+1n7YPtw+4j7q/vk/DH8ivzZ/QX9CPzp/K78Y/w0/Gf9GP37/oj+df35/Y79f/3K/kv+6/+dAEsA1wEoASwA5gCAADQAJAA2ADUACv/S/7b/x//zABwAMgA8AFIAgwC/AOMA4QDLAMMA2QD+ARgBGgEDANQAkQBE//j/t/+D/1z/RP83/yz/Hf8N/v7+5/6x/ln9/P3A/af9iv1N/P78vfyO/Fj8D/vJ+5L7WvsJ+qn6Xfo0+hb55Pmf+Vb5FfjW+JL4Svf/97D3Zfcs9w33Avb59uL2s/Zq9hL1ufVr9SL02/Se9Hb0YfRM9Cjz8/Oy82vzIfLX8o7yQvH18a3xcPE+8RLw6/DH8KPwfPBQ8CTv/+/p7+7wEvBG8GnwZfBB8BTv7e/K76vvne+17+nv8e9i7gDsBeoT6M3odujm6cXqxuuz7GXsy+zv7Pbs/u0W7TLtQe097TPtMO0x7SrtG+0Y7SvtT+137abt4O4g7lnuju7H7wDvKu9K73rvxfAV8FHwgPC48P3xQ/GE8cryGfJi8pzyz/MI80rzjfPO9BD0U/ST9M/1CPU99Wj1jPWr9cn16fYQ9kL2evat9tf3APct91z3i/e89/P4Kfhc+Ir4ufjr+R/5VfmP+cj6Afo9+n36vfr0+yT7VfuR+9T8Gvxm/Lb9Av1B/XP9of3X/hX+Vv6V/tX/GP9d/6P/6wAzAHoAvgEAAUIBhAHGAggCSgKLAsoDBgNCA4ADvgP9BDsEegS5BPgFOwV/BcMGBgZKBooGwAbqBxUHRQdzB5kHwwgCCE0IiwjMCVAKOgtDC9oLqgroChcJhQkqCOcItwiuCMkI9QkeCUEJYQmACZ8JugnSCe0KGgpiCrsLDgtRC4sLvwveC9ULrAuHC4oLuAv3DCYMQAxXDH4MswzpDQsNCAzQDF8L0QtWCxULDQskC0ALVQtiC2kLcwuDC5ALkguGC3kLbgtfC0gLLwsgCxgLDgr/Cu0K3QrOCsUKzArgCu4K6ArZCtwK/AspC0sLVgtQCz4LJQsHCuEKsgp5CkAKDAnbCaUJaQkuCM0IrwidCJ4IsgjOCOMI7wj7CQcJBgjrCLwIighhCD8IIQgMCAsIHgg0CD8IOAgeB/QHwgeaB4sHkgeeB6EHnwehB6kHtgfGB9cH4gfiB9QHwQetB5UHcwdHBxYG4AaoBnEGQwYmBhgGEQYGBfAF1QW/BbIFowWHBWMFRwU3BSsFFgT8BOQEygSoBH0EVQQ3BB8ECgP9A/0EBQQLBA4EFAQYBAsD6wPKA7wDywPsBBcERARqBHoEbwRWBD8ELAQRA+cDuwOcA5EDjAN7A1YDKgMMAwYDDAMFAuECrQKBAmUCUAI3AhwCCQH9AewBzQGoAYwBfwF8AXQBVwEnAPgA3QDTAL4AkQBeAEYASQBOAEIALwAkAB4AE//+/+r/1//A/6X/kf+J/4r/h/9//3z/lv/iAFkAxQDjAJD/7v9B/sH+eP5T/jP+Bv3O/Zn9df1k/Vn9Qv0V/N/8yPz5/W/98P4z/hv9v/1C/Ln8NfvL+4L7Qfr0+qP6afpI+iv6A/nf+dD5zPm2+X75Mfjq+LH4d/gr9873c/cp9ur2q/Zn9h/10PV19Rv01fSi9G70KvPk86nzdPM68v3yyfKa8mDyGvHT8YfxLfDG8GPwAO+O7xDuqO5e7f/tWeyJ6+PrietL6u7qeeod6fTp6enh6c/psumE6UjpBOi+6HLoIOfM533nMebm5pvmUuYJ5cHle+U35PPkq+Rk5Bzj0+OG4zfi5OKI4iXhzeGM4WHhPeEU4OfguuCS4G7gS+As4A7f69++35Hff9+d39rgBt/538DfiN9x33jfj9+s38ff0t/H37Hfm9+C317fLN7y3rXed95B3hrd+N3Q3a3drt3g3ijeX95z3nLebd5r3mLeSt4j3frd5d3u3g3eNN5b3ojevd703yffUd9z35TfxOAQ4HLg1eEs4X3h0OIj4mzir+L841vjwuQk5Hzk0uUz5aHmGOaL5vLnTueh5+noI+hQ6HfolOiU6GjoGefL57Dn7eiF6VDqHurU63Hr+exp7MPtGu1+7eXuO+6D7tHvMu+Z7/fwUPCz8SDxgPHB8efyCPIz8mjyofLc8xvzXvOi8+H0E/Q39FD0bvSc9Nn1F/VP9Yb1xfYL9lX2o/b99173wPgp+Kj5M/mo+f36Wfrk+4/8I/yB/Lr87v0l/Vf9iv3H/gv+Uf6l/w//h//8AGoA2wFLAbACCQJiAr8DFANoA9AEUgTdBVYFuwYTBmYGwQcyB7IIKQiOCPUJawnhCk0KxgtWC9cMIgxNDH8MlgxfDC8Myw5wEDsRBhC5EE8QghDtELsPyg6/DicOCA41DqsPaBAgEHkQaRA8EDwQchDCERYRXRGREbMR0hH1EhQSJxIuEjQSPhJGEkkSThJaEmgSaxJjEloSXhJvEoMSkRKbEqQSsBK9EscSyhLEEsIS0RLuEwcTFBMiE0ATZxN9E34TfBOKE58TqROoE68TxhPkE/kUBBQQFCYUQhRUFFEUQRQ4FEAUTRRSFE0UTBRRFFUUVRRWFFgUURRLFF4UmBThFRIVJRU3FVgVdBVvFVMVQxVJFTMUvxPWEp4RTxAHDtgN9g2xDjEPNRA1EMYQ6BDoEQMRNRFTEUERCRDCEHwQOxAOEAkQJBAzEAkPpA8xDtwOqQ58DkUOCw3oDfAOHQ5BDhcNfQymC/gLrgutC7YLsQutC6wLoAuIC4ALkwuhC4ALMQrwCvILNAtzC2UK/Qp5CiUKDAn7CdQJvAngCikKQAn5CYYJOAkkCSAJBgjcCL0IsgitCJoIcQg1B+sHnQdWByIHBwb9BvoG+gcCBwwHAgbYBp8GcwZaBkEGHgYCBfoF9wXgBbIFgAVXBTQFFgUFBQAE+gTqBNcExgSyBJcEgASABJcEsQS8BLEElQRwBE8EPAQwBBsD+APRA7EDlwN8A2MDVANMA0QDOwM0AzMDMQMrAyUDIwMrAzwDUQNaA0gDIQMCAwADEQMXAwcC9gL7AxMDJQMlAxwDHAMmAy4DKgMkAykDQANlA44DrgO5A68DlQN1A1gDTQNjA5YDygPlA+oD8QQDBA8ECgQJBB8EPwRABBMD0wOsA6kDugPJA8oDuQOZA3UDWQNHAzgDJwMWAwUC8gLbAsUCsQKaAn4CZAJSAkUCMwIcAgQB7wHWAbgBlwF9AW0BYQFVAUYBMwEgAQ0A/QDsANUAuQCaAHkAWQA5ABb/7f+//5L/av9K/zD/Fv74/tX+s/6Z/of+ef5r/l/+V/5P/kL+MP4b/gT95/3D/aD9g/1p/U39Lv0R/Pb83fzD/Kb8hfxe/Db8EPvu+8z7qPuB+1f7K/r9+s/6pfqA+l/6QPom+g/5+fni+cz5tPmZ+Xn5V/k1+Q/45Pi1+In4Yfg5+Az32fei92r3NfcD9s/2mPZi9jD2BfXa9az1efVF9Q/01vSa9F/0KPP188LzkfNi8zbzBvLR8pvyaPI68hDx6fHC8ZrxcfFN8S7xDvDp8L/wmPB88GbwUPA38BvwAO/k78nvsu+c74PvZu9K7zLvGe797t3uwu6w7qfuoe6Y7orueu5u7mjuZe5h7l3uXe5j7mjuae5p7mzuc+597orumO6n7rfuye7e7vTvC+8j70HvYu+D76Pvxu/r8BLwOPBj8JPwwPDk8QfxMvFj8ZLxvfHs8iLyWvKM8rby3PMB8yjzVvOH87Xz3PQD9DD0YfSO9Lv08/U49YH1x/YK9k72j/bM9wv3TfeM98H38/gr+Gn4o/jW+Qj5Pflu+Zr5yfn9+jL6X/qM+r/69Psi+0v7ePum+8b70vvV+9j72fvU+8770vvn/A78OfxV/FX8Rfw6/DT8H/wF/Bz8l/1b/gX+R/4p/ef9uP21/e7+dP9AACsA/gGHAbEBhAEyAPIA2QDOAKsAcQA+ACsANwBUAHMAiwCfAL4A8gEzAWABZwFTAUcBVAFwAYIBdgFNAQ4AwgB0ACz/7/+8/5b/fv9x/2f/XP9R/0X/Kf7r/oz+Lv3w/c/9q/1x/S38+PzO/J/8ZPwn++v7m/sw+sH6dPpU+kH6Hfnf+ZX5S/kH+Mb4hvg89+f3mfdp91/3Zvdg9z73BPa69l/19/WP9TP06/S19I70cPRT9C/z//PE84LzPPL08qvyYfIY8dXxnvF08VfxQPEj8PnwxPCP8F/wN/Ae8CTwTfCE8KHwlPBs8EDwFu/j767vlO+x7/bwG++57pfs2er36XzowOjS6Yfqluuq7H7s8u0S7QPs7Ozi7Ofs6+zl7Nns1uzc7OHs4+zw7Q/tOu1l7Zft1u4b7lnuke7J7vzvIO8/73DvufAD8DzwcPCz8P/xQfF28bLx+/JF8oXyvvL78zrzdvOw8+z0KPRh9Jr02fUa9VT1g/Wp9cf14vYE9jL2aPaX9rv23/cI9zb3ZfeX9874CPg9+G34nvjR+Qb5P/l6+bT56/ok+mL6oPrW+wT7Nftu+6377/w0/Hv8vvz4/Sz9Yv2e/d3+HP5Y/pX+1/8c/2H/pP/oAC0AcwC5AP0BQAGFAcsCDwJSApIC0AMMA0cDgwPBA/8EPgR9BL4FAAVDBYUFyQYPBlAGiQa6BugHEgczB1cHmQgFCH8I4gk5CcMKlQtXC4QK7gn6CTUI1wi1CJgIfgh+CJsIxQjtCRIJNglYCXkJmgm7Cd8KFApmCs4LMwuCC7YL0gvUC7oLkwt8C4wLvgv3DB4MMQxDDGYMmgzUDQINEQzqDIUL+gt/CzwLNgtOC2kLfguNC5cLnwunC60LqQubC4oLfwt1C2ILSAszCyULFgsACucK0wrLCtEK4wr4CwMK/grzCvkLGQtDC2ELZgtSCysK/ArLCpgKYQonCe4JvAmLCVgJIwj0CLEIngiSCJIIowi/CNQI3wjnCPEI9AjfCLMIfQhNCCoIFAgKCA0IGAgiCCQIHQgIB+MHtgeTB4kHkgecB5sHlAeVB6IHtgfLB9sH4AfXB8cHuQexB6QHhQdXByEG7ga7BocGUwYnBggF+AXuBeAFyAWtBZgFhwVzBVkFQAUuBR4FCgTuBNEEsgSRBG0ETAQxBBkEAgPwA+kD6wPuA/ED9APuA9gDuAOfA58DtwPdBAgEMARLBFAEQAQmBA4D+APeA8EDpAOOA38DcQNZAzADAALaAssCxwK4ApUCawJOAjwCKAIMAfEB4gHXAcUBqAGHAW0BWwFNATwBIgD/AN0AxgC0AJQAYAAwAB0AJQAqABwABf/5//sAAQAB//j/4f/B/6P/jv90/z3+5v6S/mn+hf7l/3EAAABfAGoAHv+a/w3+mv5O/hz96/2v/XH9Rf0w/Sj9Fvzp/Kr8gPyc/Qj9kf3p/er9of01/L38SPvh+477Pfrm+pb6Y/pK+i/6BPnd+dH50vm4+Wz4/viT+EP4BvfC9233F/bU9qP2c/Yw9d31g/Ux9PH0xfSe9Gr0JfPg86bzbvMv8u7ytfJ98j7x+/G78XbxHfC28FTv8e957vXuje5F7eHtLOxR67Xre+th6xLqkOod6eXp2OnO6bXpjelX6Rjo0uiI6Djn5ueV50Xm9uap5l/mGOXQ5YXlPeT45LTkbuQp4+Tjn+NW4wnis+JQ4ebhh+FD4RXg8ODI4KDgeeBS4CngBN/o38/frt9930zfOd9X35Tfv9+334ffU98z3yjfLd9E32Tfet97327fYt9V3z7fFN7a3pXeUN4c3fnd1d2i3XTddd2x3f7eJt4Z3fHd0N3A3bjdp92H3WPdU91p3Z/d4N4i3mbeqt7j3wjfG98s30vfht/e4EjgreEH4VvhseIE4k3ikuLj40bjsOQW5HPk0uU85bPmKuaV5vLnSOec5+XoGuhA6GPofuh26D3n7Oe358foIui46WrqJerX63br/Oxm7LztDe1m7cjuKO5/7tHvKu+O7/nwZvDR8TTxifHI8fLyE/I58mzyqfLp8y3zdvPH9Bf0WvSI9Kj0yPT39TT1dfWx9e32LfZv9rH2/PdW97j4Ffhy+Ob5cPn0+lz6wftF++P8cvzY/SH9Yv2Y/b794f4V/lr+pf72/1b/wQAtAJgBCQF/AesCTAKmAv0DUgOtBBgEjQT5BVcFtQYgBpMHCQeHCAgIegjZCTwJrwohCogK/QuLDAkMSQxlDI8Mqwx5DDMMnA4UD90Q0RCyEF4QnBEoEUEQuBATD8oP0Q/2EEAQxxFSEYERNhC2EF0QUBCEEN0ROxGKEcMR9BImEk8SZRJsEnMSfRJ/EnYScxKDEpsSphKdEpASjxKZEqQSsRLBEtMS4BLoEu0S8RLyEvgTChMjEzMTOhNME3MTnROuE6kTpxO2E8cTyxPKE9QT7xQMFCEULRQ3FEcUXRRuFG4UXRRRFFkUbBR1FG0UYRRdFGIUbRR4FHUUZBRZFHQUthT6FSMVOBVQFWsVcBViFWAVexWFFTYUdRNnEkARCA+1DnENow2oDm4PeRBEEKcQ0RD5EScRRBFAESIQ9hDAEIQQRRAID9gPvA+pD4kPUw8YDuoOxQ6WDl8OLg4JDeUNuA2EDUAM2gxcC/ULywvRC9cLyQu3C60LnguCC3ALfQuTC4ELPAr0CukLKwuDC6ALXArXClkKDwnsCdIJwwnVCfsKCQniCZoJXgk+CSUJBQjkCNgI4wj2CPQIxwhyCA4HtAdrBy0G+gbcBuEHDgdRB4MHfgc6Bt0GlAZsBksGJQYFBf0F/gXtBccFmwVyBUoFKwUeBR4FFgUBBPAE7gTqBNMEsgShBKsEvwTMBMcEsQSPBG0EWARHBCkD+gPKA6kDkAN5A2kDaQNxA3EDZwNiA2cDaQNfA08DRwNOA10DbANxA2IDQwMnAyMDNAM9AzADGwMYAy4DQwNHA0ADPwNJA1ADSwM/AzkDOwNHA14DfwOcA58DgANPAysDKANJA3sDqAPIA+ED/AQQBA8D/wP+BB8ETQRcBDwEAgPTA7oDswO2A7wDuwOoA4gDawNYA0kDOAMkAxAC+gLhAskCtQKhAokCbgJWAkICLAIVAgEB8AHdAcIBoQGCAWoBWAFJATgBJAEOAPcA4gDPALsApQCMAG8AUAAuAAj/3v+x/4T/Xf89/yX/EP75/t3+vv6l/pb+jf6C/nb+a/5g/lL+Q/4z/iD+Bf3g/bv9m/1+/V/9Pv0f/QT86fzQ/LT8k/xs/EP8IPwB++H7vPuW+3D7Svsj+v/64PrD+qT6hvpt+lj6Q/or+hL59/nY+bT5jvln+T/5Efjf+K/4gvhW+CX37/e394L3UPch9vH2wPaN9lr2K/X99c71nPVp9TH09vS29Hn0QvQP893zq/N680vzHPLr8rfyhvJY8jDyCvHl8b3xlPFw8VLxMvEL8N/wufCf8IzwdvBa8DnwF+/479zvw++q743vbu9Q7zbvHe8A7uPuyu667rHuqu6h7pXuiO597nfudO5w7m/uce537nzue+547nXude567obumO6r7r3uzu7h7vbvD+8r70zvce+V77Tv1O/18BjwO/Bl8JPwv/Dn8QzxOPFq8ZrxxvHy8ibyX/KW8sXy7PMN8zHzXfOP877z5/QP9D30bvSg9NP1C/VM9ZH11/Ye9mL2nvbU9w73UfeS98z4APg6+Hn4tvjq+Rr5Sfl1+aL51foL+jz6ZfqP+sL69/sn+1L7f/uu+9j7/vwi/EH8UvxU/FH8Uvxa/GX8b/x0/G38ZPxl/Gj8U/wb++78B/x3/RH9mv31/h7+Gv36/ej+Gf6l/3gAXwEdAYkBnQF+AVcBNwENANUApQCVAKAArwC4AMEA0ADlAQIBMgFwAaQBuAGxAagBrAGzAakBhgFSARYA2gCgAGgAMQAA/9r/wv+z/6X/lv+L/4D/Yf8d/rv+XP4a/e/9xP2N/Vf9Kv0C/Nb8q/yA/Ef75/tm+ur6mfp2+mL6QPoJ+cT5fPk3+Pz4w/h7+CH3zPei96n3vvez9373N/bx9qP2PPXB9U/0+/TA9JH0Y/Q49BLz6vO684LzRPMB8rvyc/It8ezxt/GW8Y3xi/F28ULw/vDC8JjwdfBa8FjwfvC48N3w2PCy8IHwSPAC77nvku+x8AvwX/BF73Pt7uwR6l7pROj16WHqSetQ7CbspOzR7M3sueyr7KnsrOyt7K3stuzE7NDs2ezs7RDtPu1u7aPt4u4n7mbun+7W7wXvJu9D73Hvre/j8AvwOvCA8M7xDvFC8YDxzfIb8mDyofLj8yHzWPOP88v0BvQ+9Hn0v/UK9VH1kPXH9e/2CfYh9kP2bvaV9rP20vb29x73Rvdz96j34PgX+E34g/i6+PD5Kflj+Zz50PoE+j36dvqq+tr7DvtI+4X7wvwA/ED8fvy3/PD9LP1r/aj94f4Y/lP+lP7Z/x3/YP+i/+YALgB1ALsBAAFIAZAB1QIZAlwCnALYAxEDSwOIA8cEBQRDBIIEwgUDBUUFiQXMBgkGQwZ7BrEG2gbzBxcHbAf8CJwJFAlgCbMKKwqLCncJ3AkTCIkIWQhUCEwIQwhPCHEImgjBCOcJDQkxCVYJfgmrCdsKFgpsCt8LVwu1C+UL5wvLC6ILggt6C5ILwgv0DBQMIAwrDEkMgAzADPUNDgz3DKYMLQu5C3MLYQtuC4ELlgurC7sLwQvDC8QLwQu0C6ELkguFC3ULXAtFCzQLJgsSCvkK5wrkCvELBAsTCxcLEQsOCxoLOQteC3YLcQtKCwcKugpzCjcKBAnYCbIJjQliCS0I9wjMCLAIqwilCJ8IogivCMAIzQjZCOQI6AjZCLEIewhICCUIGAgYCBkIEggHB/wH8wfjB8QHoQeLB4wHmAefB5sHlgedB7AHyQfeB+kH6AfaB8oHwQe/B7cHmwduBzkHBAbPBpkGYgYwBgcF6wXaBcsFtAWWBXwFbgVkBVMFOwUjBQ8E+wTgBL8EnQR7BF0EQwQuBBkEAAPoA9YDzgPNA9ED0QPCA6UDhwN7A4oDqwPTA/sEHgQzBDEEGwP6A9kDvQOnA5gDjgOCA3IDWgM4AwoC1AKlAogCdQJfAkICKwIiAhkCAQHdAcMBuAGxAZ4BfwFjAU4BOwEiAQYA6gDQALoApgCNAGQALwAF//kAAQAE//X/3//V/93/7v/7//f/2v+z/5n/jf9m/vf+Rf2Z/UX9a/3u/pz/Sf/XACkAKf/V/0j+t/5M/g393v2m/Wf9Mv0T/QP88PzH/Ib8TvxR/Kz9N/2l/b39hf0o/MX8Z/wN+7T7VPrx+p/6a/pM+iP56vm2+Z35kvlt+Rb4m/gh98T3gvdB9vP2pvZy9lj2OfX59Z31QPT99Nf0vfSW9Fn0EPPM85LzVvMT8tHylvJb8hrx2PGf8WTxFPC18FXv7+9x7ubud+4l7bntC+xP69/ryOuz60zqpeoW6dPpxem66ZnpZ+kq6OjooOhT6AHnrudd5wzmuuZo5h7l2uWU5UvlAuS+5HzkOeP047HjbeMm4tniguIg4bnhXeEX4ODgsOCE4F/gO+AS3+ffxN+t35ffcd863wXe7t8H3z7fbd9231zfNN8P3vDe4d7o3wHfGt8l3yjfK98t3yDe/t7H3oHeOd4D3eHdvN2D3UvdQ9123bzd3N3C3YndVd043S3dJt0T3Prc8d0Q3VLdpN303kDeht663tDe0N7T3vLfOt+i4BXggeDf4TfhjuHh4ividuLN4zTjoOQI5Grkz+U+5bXmK+aT5urnO+eK59LoBugs6E3oYehQ6BTn1efG5/noVujI6VLp/+rB63bsBOxr7LztCu1e7b3uJe6I7uDvNe+V8AbwevDg8TbxgvHF8fnyHPI/8nHysvL580Lzk/Pw9FH0pfTi9Q31M/Vf9Zb10/YQ9k72j/bO9wz3Vfez+Bv4ePjK+Sn5pPot+q77K/u2/Er8zP0v/YD9yf4A/hz+Mv5c/qD+7/9C/5z//QBfAMQBNQGwAicCkALsA0MDnwQHBHsE6gVGBZgF+wZ0BvEHZgfcCFYIxgkjCYIJ9ApoCssLMQurDB0MYAyFDLUM2AylDEYMcA2eD0gQYRCMEG0QvhFnEcoRqRFfEUoRZRGDEa8SBRJsEpcSVhHBERcQmRByEKkRGhGLEd4SHhJZEowSqRKzErwSxhLGErgSrRK3Es0S2RLWEtAS0BLQEs4S0RLiEvcTARMCEwYTEhMgEywTOxNME1gTYhN8E6YTyxPVE80TyxPYE+QT5xPrE/sUFRQtFEEUTxRZFGMUcxSGFIwUfhRwFHUUiRSRFIIUaRRcFGIUcxR9FHQUXxRfFIkUzhUHFScVQRVhFXQVaBVdFX4VuRW0FSIUFhLoEcUQjg8rDeUNTQ2vDroPwBBWEJcQ1REmEV8RXxE7ERQQ8BDBEIMQQQ/+D74Phw9hD0UPKQ8ODvYO1g6iDmUOOg4cDekNkw03DPkM1Qy3DKAMnAybDHgMLwvlC7sLpAuGC2kLZQtzC2wLQAsOCwkLQQuVC8MLnwstCp8KMQn2CdwJywm/Cb4JwQm5CZsJbAk4CQwI7gjgCOoJEAlHCWAJLwi0CCwH0gerB4cHRwcDBvIHLQeWB+gH6QeSBxcGtAZ+Bl8GQQYpBh8GFwYABdsFtwWWBXEFUAVBBUEFOQUjBRUFGAUYBQAE3ATMBNoE7gTzBOgE0ASxBI8EdARcBDgEBQPRA6sDkAN9A3YDgQOQA48DgwOAA40DlgOLA3cDbQNyA3wDggOCA3sDaQNSA0gDTgNXA1ADQQM9A00DYQNlA14DWgNgA2QDXgNTA0oDQwM7AzoDTQNuA4MDegNiA1sDdQOiA8YD1QPaA+gEAgQWBBYEBgQCBBkEPQRQBEcEKgQHA+EDvgOsA68DuQOzA5kDeQNhA1ADPgMqAxUC/gLkAssCtgKkAo0CcwJZAkACKgIUAgMB9gHoAdIBtAGVAXkBYgFOATkBIQEGAOwA1ADAAK4AmgCCAGYASAApAAb/3f+w/4L/Wv86/yT/FP8B/ub+yf6z/qn+o/6a/oz+fv5x/mP+VP5E/jH+GP33/dX9tP2S/W/9TP0r/Q788vzZ/MD8pPyA/Fn8N/wZ+/v72vu5+5v7fftf+0X7MPsZ+vv62vq8+qP6ifpp+kX6Ifn7+dH5p/l++Vf5LPj++NH4pfh4+Eb4EPfa96f3dvdG9xf25/az9n72SfYX9eb1tfWC9Uz1E/TX9Jv0Y/Qv8/zzx/OS82DzMfMD8tTypvJ68lLyLPIG8d3xtfGR8XHxUfEs8QPw3/DF8LHwnPB+8FjwMfAN7+7v0u+175bvde9X7z7vJO8I7u3u2O7K7sDut+6w7qfune6S7onuhu6E7oTuhO6H7oruiu6I7oTugu6G7pLupO637sju1+7n7vrvEu8u71Dvd++c78Dv4fAC8CTwRvBr8JXwwfDr8RTxQPFx8aHxzPH18iPyWvKV8szy+PMb8z3zZfOU88bz9fQh9Ez0e/Su9Ob1I/Vg9Z/14fYo9m32qfbg9xn3Wfea99L4CPhD+IP4wfj2+ST5UPl8+av54foY+kj6cPqa+sv6//sx+2D7jvu7++T8EPxB/G/8jfye/K/8w/zR/NX81vze/Or89Pz5/PH8yPx3/Bn74Pvt/D78vf1P/dT+J/44/h3+C/4z/qr/XQAcALEBBwEuATwBMQEGAMwArgC/AOgBBQENARMBIgE3AU8BcgGhAccB1AHOAcgBygHHAbABhwFXASoBAADWAKcAdABBABj////u/9r/xP+z/6f/i/9M/vD+l/5T/h796P2z/Yj9ZP08/RH87vzR/Jv8L/uc+xH6tfqF+mT6PvoM+c/5jPlI+Qz40/iL+DL34fe/99H36vfZ95j3TvcX9uD2hPX+9XX1DvTH9Iv0T/Qa8/HzzvOl83PzO/L98rzyefI48fjxxPGq8a/xu/Gp8WvxHfDn8NDwvvCm8Jfwq/Dc8QnxEvD18LzwdPAh79DvnO+l7/TwYPCI8AvuyO0B6zfp4elA6VXp8+rL64/sEexQ7GTsaexr7HLsfuyQ7KfsxOzd7Ozs8+0E7SbtVO2G7b3t++457nPuqe7e7wvvLO9J73Hvn+/B79jv/PA68ILwvvDz8TXxh/HY8iHyZ/Kv8vHzLfNp86jz5fQg9GD0rPT+9U31mvXh9hn2N/ZI9l32ffae9rr22Pb89yH3RPdr95n3zPgA+Db4b/in+N75FPlM+YH5svnj+hb6Svp7+qz65Psh+177mPvU/BP8UPyM/Mj9Bv1E/Xv9r/3k/h3+XP6e/uL/Jf9n/6v/8QA3AHwAwgEKAVQBmgHgAiUCaAKmAt4DGANVA5MD0AQOBEsEhwTFBQYFSgWKBcIF+gY2BnIGnwa8BuQHPQfOCGkI0wj8CQsJJAk4CRgIughPCBAIBAgICAgIDQgmCE0IdQiaCL8I5QkJCS8JYAmZCdQKFAppCt0LYgvMC/oL6Au1C4gLdAt6C5ELtQveC/0MCwwUDC8MYwyiDNoM+wz4DMUMZwv/C7MLlAuSC5wLrwvHC9oL3wvaC9kL2wvWC8ILqwuZC4kLdQtfC08LRgs6CygLFwsRCxcLHgsdCxcLEgsZCy8LUQtzC4ILbwszCtcKcwoeCeAJuQmgCZAJfQlbCScI7QjDCNAIzQjHCLgIqgiqCLcIyAjUCNsI2gjPCLMIhwhVCDEIJQgmCCEICgfuB9oHzge9B6IHiweFB48HnAeeB5oHnQetB8MH2AfoB/EH8AflB9kH0wfQB8UHqgeCB1MHHQbfBp4GZQY3Bg4F6QXIBa4FkwV1BV4FVwVYBVEFOgUdBQUE8QTWBLEEiwRrBFAEOQQmBBED+QPdA8YDugO7A70DswOYA3MDWwNeA3kDnwPEA+kECgQeBBoD/wPXA68DjgN8A3kDegNxA1oDOgMTAuMCqQJ0AkwCLgIQAfgB8QH3AfUB2gGyAZgBkgGOAXkBWAE8ASwBHAECAN4AvACgAIwAeQBdADEAAP/d/9L/1P/R/8b/u/+6/8H/zP/V/9D/s/+M/3P/a/9C/sD96P0R/Kb80/1x/jf+7v+G//MAG//n/1/+vP48/ff90v2o/W79M/0E/OP8x/yj/G38Nfwp/HD89/1z/aH9eP0k/Mz8ffwv+9X7bfsB+qf6Z/o0+fr5tPlz+Uf5Jfjz+KD4MvfF92z3KPbl9pj2T/Yj9hL19/W09Vb1BfTb9Mn0sPR69C7z3fOZ81/zIvLh8qLybPI18fPxr/F08Trw8vCc8EPv3+9l7t7ua+4M7Zjs+uxl7BvsD+vl613qn+oH6cLpsOmf6XjpP+kA6Lvocegg58vndeci5tHmfOYp5d7lmuVY5RPkz+SO5E3kCOPD433jOOLw4qTiUOH24ZzhSuEC4L7gfOBG4B/f/N/U36zfkN9+32TfNd743sHepd6v3tnfC98s3yzfD97f3qzei96I3p/eut7O3t7e8d8C3wLe7d7B3oLeO94A3dfdrd1z3TjdH9053Wjdf91q3Tbc/9zW3MbcxdzE3Lvcvtzj3S3dhN3U3hveWt6G3o/ef9503pHe5d9g3+bgX+DE4R3hceHC4hDiYuK+4yXjkOP65GPkzOU65azmH+aH5t3nJ+dw57Xn7ugZ6DfoP+gl5/bn2+f26DTobuih6P7prOqS62zsC+x27MztHu1z7dDuNu6c7vXvR++m8BjwjPDu8T3xiPHP8gfyLPJP8oPyyPMS813zs/QY9IH03vUo9WH1kvXB9fL2J/Zf9pz23vcf9173p/gF+HH41vkq+X755vpo+vb7ifwf/Kz9If19/c/+Hf5X/nP+g/6l/uH/Lv+A/9cAMgCOAPEBZQHlAmECzAMrA4kD7gRgBNgFQwWaBe8GWgbYB1AHtwgiCJgJCglqCcwKQQq6Cx0LcgvUDDwMigy/DPINDAzWDG0MbA1QDsgP9hBoEIIQ3xGMEhkSQRIyEjcSXhKKErMS6hM1E3ITbRL6EiIRLhCOEIcQ+hGNEf0SShKPEswS7xL6Ev4TCRMPEwgS/hL+EwYTCxMKEwwTERMOEwIS/hMMEx4TIhMbEx4TMhNIE1UTXRNmE3ITghOfE8UT5BPuE+0T8RP8FAQUCRQVFCoUPxRRFGEUcBR3FHsUiRSgFKoUnRSLFIwUnRShFIoUaxRdFGcUdhR4FGoUYxR5FLEU7xUWFSoVRhVpFXYVZxVnFZgVzBWXFMIThxJGERsP1g5tDU4NDw3WDxkQGhCMELcQ+BFPEXsRYxExERAQ9hDGEH8QOQ/+D8UPjg9iD0EPJQ8NDvkO3Q6pDmwOQw4sDf4Now1EDR4NPA16DbUN2Q3LDXIM4AxWDAML2QuuC3wLYAthC2MLUAs2CzELTwuBC6sLqwtuCv8Kiwo5CgwJ6gnDCaQJoQm0CboJlglTCRUI9AjuCQAJNAmDCbMJegjYCDYH/QgpCFEIHgeoB1AHVgeoB/UH+QemBysGxgaQBngGZAZTBkcGNgYYBfMF1QW6BZgFdQVjBWIFXAVJBTsFOwU2BRoE/QT/BR0FNAUsBREE9ATVBLEEjgRxBFEEIwPrA7kDkgN6A3cDiQObA50DkwOUA6UDsAOmA5MDiwOQA5QDjwOLA4oDhQN4A2oDaANuA20DYgNbA2ADawNuA2cDYQNiA2MDXgNYA1kDWgNSA0YDRgNbA3gDjAOcA7sD7gQeBDAEIQQIBAAEDgQjBC4ELQQqBCoELgQyBDgEOwQxBBAD4AO8A7UDvQO8A6YDhQNoA1IDPwMrAxcDAwLsAtQCvwKpApECdwJfAkoCNQIhAhACAQHyAd4BxQGqAY8BdQFcAUIBJQEGAOkA0wDBALAAmgCAAGQASAAtAAz/4/+0/4T/W/89/yn/Gv8J/vD+1f7D/rv+tP6p/pj+iP58/m7+XP5I/jP+HP4C/ef9yP2l/YD9XP08/R/9BPzt/Nr8xfyp/If8ZfxG/Cj8Cvvv+9X7uvug+4n7dvtf+0D7G/r4+tn6uPqR+mb6OvoO+eH5tvmO+Wj5Qvka+PL4y/if+G/4PPgH99T3oPdu9zz3CfbT9pz2ZPYw9f31y/WX9WP1LvT39L70hvRQ9Brz4/Or83bzR/Ma8u/yxPKb8nPyS/Ii8frx1PGw8Y7xbfFL8SjxB/Dr8NPwuvCb8HXwTfAm8ATv5O/E76Xvhu9r71LvN+8b7wHu7u7g7tTuyu7E7r7utO6l7prume6c7p7umu6W7pbumO6Z7pjumu6h7qzuu+7K7tju5e7z7wXvG+8171Pvd++e78bv6/AQ8DTwV/B68KDwyfDz8R7xSfF38aXxzvH28iLyWPKV8tDzAvMo80nzbfOZ8870BvQ49GL0jPS+9Pv1O/V59bL17vYv9nH2rvbo9yT3Yved99T4DPhI+In4xvj9+S35W/mM+b/58/ok+lH6fPqp+tn7C/s9+3L7pfvR+/b8HfxL/Hb8lvyx/NP8+f0U/R39Iv00/VD9Z/1t/V/9N/zy/Jr8RfwL+/z8JPyG/RH9nf3//if+I/4d/kD+m/8Z/5P/+ABQAKAA0gDVAL0AtgDVAQYBKgE9AU8BZgF+AZYBtgHYAegB3wHNAcYBzgHTAcgBsAGQAWsBQAEUAOgAvACNAGMARgAxABf/9f/Z/8j/s/+B/zf+7f6w/nP+Lf3r/b79oP19/VT9Nv0b/N/8ZvvF+zL6zvqR+mT6N/oG+c75jflI+QX4xPh6+Cf34/fI99f36PfQ9433Sfce9vX2ofYY9YX1E/TD9Hz0MfPv877zmPNw80HzC/LS8pfyYfIt8fnxzPG48cPx0fG88XvxMvEK8QbxB/D28N3w2/D68SXxPPEn8OjwlPA/7/Xvu++j78vwLPB68EXvTO246/7qkOmz6Xnp1OqI60TryuwQ7DHsSexg7HXsi+yn7Mzs8u0O7RrtHu0q7UjtdO2n7d3uFu5M7n3uq+7a7wXvJe9C72fvju+p77zv2vAO8EfwdvCl8OXxNPGD8cvyFfJj8q7y9fM984PzxPQA9ET0k/Tn9Tn1i/Xe9iH2R/ZX9mj2gfag9r/24vcJ9zD3Vfd696T3z/f6+Cj4XfiV+Mv5Avk4+Wv5mfnH+ff6J/pV+ob6wPr++zv7dvu0+/X8NPxw/K386/0l/Vn9iv2//fj+Nf5z/rT+9v84/3r/vf/+AD4AggDKARMBWwGjAewCMgJyAqwC5wMjA18DmwPZBBcEUQSLBMoFDAVLBYMFugX2BjEGYAaCBq0G+AdlB9QIGwgsCBsIDAgFB/kH3wfFB7sHwQfJB9IH5QgGCC4IUwh0CJcIuwjgCQgJPgmACcMKBQpRCroLOguoC9cLwwuQC28LcAuBC5MLpwvDC+IL+AwGDB4MSQx/DLEM1wzmDM4MiQwtC+QLwAu7C8IL0gvqC/0L/gv0C/AL9wv5C+gLywuzC6QLlAt/C20LZQthC1cLRQs3Cy8LJwsaCwsLCAsYCzgLXgt6C3wLVgsICqMKPwnvCbsJmwmLCYQJfAlmCTsJBwjfCQYI+AjlCMwIugi6CMoI3AjhCNgIzAjDCLYImAhrCEQIMggvCCMIBAfiB8sHvAelB4gHdwd8B40HlweXB5oHqgfCB9YH4gfrB/IH8wfuB+cH4QfXB8IHogeAB1wHKgblBpsGYQY7BhkF7AW7BZIFcQVWBUUFRgVRBVMFPwUgBQQE6wTLBKQEfwRhBEgEMAQYBAAD5wPMA7gDsgO0A68DlQNqA0IDMwNDA2UDiQOpA8oD7AQBA/0D4AO4A5ADcwNnA2kDaANTAy4DBgLiArcCgAJHAhkB9QHSAbgBtQHEAcoBswGOAXUBcAFsAVYBNAEWAQQA9gDfAL0AlQBxAFcAQQAl////1/+8/6//pv+Z/5H/lP+c/57/mf+U/47/ef9V/zT/IP78/pf96f0y/ND89f2F/jb+1P9V/73/9//Y/1j+qv4c/dT9u/2i/XL9Nvz7/Mj8n/x8/FX8LPwf/FX8y/1E/Xr9WP0C/KT8VPwG+637Rvrb+nz6Lfnp+aX5X/kf+Oj4tPh5+DH33feH9zv2+va39mv2JPX39dz1sfVh9Qb0yfS19Kn0g/Q78+bzl/NV8xvy4PKi8mbyL/H38bXxcPEu8PDwqvBd8Azvs+9H7s/uXu3z7XXs4uxk7CPsBOu76ybqdunz6bbpm+l+6VHpGOjX6I/oQefu55fnPubp5pjmRuXz5ablYOUf5N/koeRh5B7j1uON40bjAOK44m3iHeHL4XzhNODt4KDgUeAP3+Dfut+U33PfX99P3y7e+N693ovead5e3nHeod7W3u7e1d6U3kreGt4X3jXeWt533o/erd7L3t7e3d7F3pjeXN4f3evdut2C3UjdH90U3RzdIN0R3O3cu9yP3HrcgdyQ3JvcqtzU3R7dc92+3f/eOd5e3l7eP94k3jveld8i37/gSuC34Q7hXOGr4f7iV+K34xzjhePx5GDkzeU55abmFOZ75tLnGedc56Hn4OgO6CLoGef75+bn++g36GjoaOhZ6JTpT+pa61Hr/Oxu7NHtNe2S7eruR+6o7wPvWe+98DHwpfEH8VnxqvH08inySfJs8qPy6vMx83rz0PQ19J30+fVI9ZD10PYH9jf2ZvaZ9tb3HPdm96339vhN+LT5H/l++dT6Nvqv+z371Pxo/Ov9WP2z/gv+Yf6k/sf+2f7y/yH/Yv+r//sAUQCxAR4BnAIgApsDBgNpA80ENgSmBRUFfAXYBjcGqQcmB5cH+AhfCNcJTQmzChgKkQsNC3ALvAwRDHYM0A0ODTMNOA0DDKwMow1LDoAPpBBHEJIQ8hGOEicSfBKREp8SzxMVE1MTfhOuE/UUKxP0ExgR2RDUEIcQ6BGJEhASbRK8EwITLRM5EzsTRRNTE1gTUhNKE0UTQBM9E0ETSRNJEz8TPBNGE1ETTBM+Ez4TURNoE3ITcxN4E4QTlxOwE9IT8RQGFBIUHRQmFCwUNBRFFFsUbRR7FIkUlBSXFJgUpxS+FMUUsRSaFJkUqRSqFJEUdhRxFHwUgxR7FHIUgBSuFOoVGRUvFT0VVRVvFXIVZxV1FaEVpxUvFCcS1xGJEEQO6A2XDM0NAA4dD34QdxDaEPgRJRFaEWYRQBEWEQQQ8hDCEHsQPRAMD9oPpA91D08PKw8NDvoO5Q66DoAOVQ48Dg4Nsw1YDUQNiw4ADmgOng6CDgsNXwzKDHIMPAv3C6YLcgtuC3sLdwtjC08LRgtLC2QLiAuUC2cLBwqdCk0KFAnjCcIJygn7CikKHwnaCYQJRwknCR8JQAmMCcMJhgjYCDsIPAjQCVcJRAiiB+wHjweRB7MHsAdzBxkGzwarBpoGiAZyBl4GSgYuBg0F8QXVBbAFiwV6BX4FfgVvBWAFWwVQBTYFJAU3BV8FbwVUBSgFCATuBMoEogSEBGsERQQJA8YDjwNwA2wDfQOTA6ADpAOrA7kDvgO0A6cDpQOsA6wDoQOYA5gDmwOUA4kDgwOHA4gDfQNsA2MDZQNoA2UDYANgA2EDXwNfA2kDegOBA3UDZgNoA38DngPCA/AEJgRRBFoEQwQlBBcEHgQzBEoEWwRdBE0ENAQjBCoEQQRMBDkEDQPiA80DyQPFA7QDmgN+A2UDTQM3AyIDDQL4AuMCzgK0ApkCgQJtAlsCSgI3AiQCEAH7AeUBzwG4AZ4BhAFqAU4BLgEMAO8A2wDLALgAoACFAGoAUAA0ABL/6P+6/43/Z/9K/zb/Jf8S/vr+4/7R/sb+u/6r/pr+jf6D/nf+Y/5N/jj+Jf4T/f394v3C/Z/9ff1f/UT9Kv0V/QX89Pzf/ML8ovyB/GD8Qfwn/A778vvT+7f7nvuE+2P7P/sb+vj61Pqr+oH6Vvoo+fr5zvmm+X/5Wvk0+Q/46vjC+JX4Zfgy9/33yPeS9133Jvbv9rj2g/ZO9hr15fWv9Xr1SPUV9OD0p/Rv9Dfz/vPG85DzYPMz8wjy4PK68pLyaPI88hXx8/HR8a7xivFp8UvxLfEO8O/w0PCu8IrwY/A+8Bvv+u/a77zvou+K73LvVu837xzvCO747uru4O7a7tXuye617qjuqu617rnus+6p7qbuqe6r7q7utO6/7sru0+7d7unu9u8F7xfvLO9D713vfe+j78zv9fAd8EXwbPCR8LXw2vEC8SvxVPF+8ajxz/H28iPyXPKa8tTzBfMu81Hzc/Oc89T0FPRO9Hr0ofTS9RL1VfWT9cr2APY59nT2sPbt9yv3Z/eg99f4EfhP+I/4zPkE+Tn5bvmk+df6Bfot+lX6gvq0+uX7FPtF+3n7rvvc/AH8J/xR/Hr8nPy7/OH9Cf0n/Tf9Q/1Y/XX9iv2R/Yv9fP1h/TT88/yk/FT8Hvwb/Fn8y/1Q/cD+BP4k/jr+YP6T/sn/Bv9b/8cALgByAJcAuADiAQwBKgFBAVsBdgGOAa4B2AH/AgsB+QHiAd4B6wH4Af4B+wHrAcMBhwFNASYBCwDqAMEAnACBAGAAMwAJ//H/4P+9/4f/UP8f/uH+i/4v/ez9xP2l/Yj9cf1S/Qf8gfvh+1f6+/q++or6U/oZ+dr5lvlQ+Qj4vvhv+CL35ffG98H3vPeZ91f3Ffbp9r32afXm9Vn06fSX9Ebz7POY81rzLvMI8t7yrvJ68kvyKPIM8e7xz/HB8cfxzvG48YLxSvEy8TfxPvEz8RvxD/Ej8U/xcPFe8RLwrPBT8BLv3u+678nwHfB98HbvvO5p7N3rd+p26gfqOurj66PsJuxe7HLsiuyp7MTs2+zz7RHtLu1A7UbtSO1U7W/tl+3G7fnuLe5d7oTuqu7R7vbvFO8w71Pveu+Z77Pv0+/98CfwSPBv8Knw8fE58X7xyfIZ8mryuvML81vzoPPf9CX0dvTK9Rr1bvXF9g32OPZM9l32dfaS9rT23fcK9zT3WveC96z30/f1+Bn4SPh9+Lb47/kn+Vn5hfmy+eL6EvpA+nD6qPrl+yD7XPub+938G/xV/JH8zv0G/Tj9a/2i/dz+F/5U/pL+0/8T/1P/kv/OAAoASgCOANQBGwFlAbAB9wI4AnQCsALrAyQDXwOeA94EGQRRBI0EzgUOBUkFggW+BfUGIQZEBmsGoAbfBxoHQgdTB1IHTQdQB1kHZAdtB3gHhgeWB6wHyAfqCA0ILQhLCGwIkAi2COIJGglfCaUJ4gofCnIK3gtJC4ULhgtuC2gLgAufC64LswvBC9kL8AwCDBgMOgxhDIgMqgzADLUMfAwtC+8L1wvaC+UL8gwHDBwMIAwUDA0MFAwbDA0L7gvRC8ELsQuYC4ALcwtxC2sLWQtECzMLJAsTCwQLAgsWCzoLXwtxC2ALKArTCngKKwn0Cc0JrwmYCYwJhgl7CWEJPAkbCUcJJgkBCOEI0wjeCPYJBgj+COMIyQi/CLwIqQiACFYIPgg1CCMIAgffB8gHtgeXB3QHYgdrB30HiAePB58HvwfeB/EH9wf5B/sH+QfzB+sH4gfOB6wHgwdkB00HKAboBp0GZAZDBiQF8wW3BYQFYQVKBT0FQwVTBVgFRwUmBQUE5gTCBJsEegRgBEcEKQQLA/ID2gPCA7ADqgOnA5QDaQM0Aw4DCQMgA0EDXwN8A50DvwPTA84DtAOSA3MDXwNbA18DVQMtAvQCxAKnAocCVgIbAeoBwgGcAX0BdgGGAZUBjAFvAVkBUQFMAToBGwD4ANoAwwCtAJEAbABDACEAB//u/9H/tv+l/5f/gf9m/1j/YP9u/27/Xf9O/0j/Pv8e/u7+w/6j/nX+Iv28/Xr9if3g/k7+r/8G/2T/s/+z/0X+kv32/ar9mP2L/Wb9MPz0/Ln8g/xa/Dz8Jvwi/Ev8pf0D/Sn8/PyX/Cf7xPts+xT6ufpf+gr5u/lx+S/49vjE+I/4VPgW99j3mPdU9xH21faZ9lf2GPXn9bn1dfUW9L70j/SA9Gn0MfPj85TzT/MQ8tbynvJj8iLx3/Gd8VzxG/Dd8J/wXvAZ79DvgO8j7rnuSO3M7UDssew+6/XrtetR6sXqPenh6a3phulb6Sro8+iv6GDoEOe+52fnDea35mbmF+XG5XflLeTp5KvkbuQv4+jjneNT4w3iyOKB4jbh5+GW4UrhBuDE4HngJ9/f36bfeN9Q3zTfJt8V3vHevN6M3mbeQd4e3hPeNd5z3p/ej95D3ePdoN2X3b/d9d4g3kHeZd6R3rjezN7L3rXej95d3ijd8t243XzdQd0N3Obczdy63KDceNxQ3D7cTNxp3ILcnNzJ3Q7dXN2k3eXeIN5G3kLeGt313gLeWd7t35fgMeCo4P/hSeGW4e7iTuKx4xbjf+Pu5GHk0uU95aTmCuZu5sbnEOdV55rn2+gE6Ann7+fY5+noLeh66IvoT+gR6EPpD+ot6ynr0OxE7LftL+2a7fPuSu6o7wvvce/f8FLwvfEa8XPxzvIe8lHybvKR8snzDfNO85Lz5fRH9Kf0/fVN9Z716/Yt9mD2jvbB9wL3Ufen9/v4SPiW+PD5VPm3+hj6f/r4+4D8C/yN/QL9bf3V/kH+qP72/yD/M/9G/2f/mP/RABMAZQDNAUsB1gJfAtoDSAOxBBoEfgTgBUQFqwYRBnsG7gdlB9UIPAilCRoJjgn3CmAK1gtPC7IL/wxUDLwNHw1eDXINYg0xDPUM7Q1aDjsPPhAJEI4Q/hGHEhsShxK1EsgS+BNUE68T4BP8FDYUgBRxE60SXBEmEKMQ4hF/EhUShBLdEykTXRN0E3sThROTE5sTlhOME4QTfBN2E3QTeBN9E34TfhOCE4ITdxNmE2ETbhOAE4kTjROUE6ETsRPGE+QUCRQqFD8USRROFFMUXxRxFIQUkxSiFLEUuBS3FLsUzhTiFN4UvxSmFKkUuRS2FJ0UhhSFFI0UiRR7FH0UnhTWFQwVMBVFFVkVbBVuFWAVXhV+FaEVdxTEE5gSMhC/D0gN3wzSDIsNNA6CD9sQwBEfETcRRhFQEUMRIREIEP0Q5hC2EHsQTBAhD+oPrQ97D1cPNQ8XDwMO8Q7MDpUOZg5FDhANtA1ZDUMNhA3tDkEOWQ4nDbYNNQzeDLoMlwxFC9oLmAuWC60LrQuRC2sLQwslCykLXwumC7sLdwr7CoQKOAoRCgQKHgpqCsEK4QqpCjsJzAl2CT8JOAlpCZcJZQjOCFUIiQlbChoKIglwCIMH1geHB3IHZAdCBxEG6gbaBtEGuwaYBncGXwZIBi4GEQXuBcEFmgWPBZwFpAWWBYIFeAVtBVoFUgVrBY8FjQVaBSAFAgT0BNoEtASWBIAEXAQeA9gDowOGA3wDfwOMA54DsQPBA8oDyAPAA70DxgPQA9EDxgO7A7gDtwOwA6MDmgOaA5kDjgN5A2oDZwNrA28DcAN0A3gDeAN4A4QDnAOrA6IDigN8A4QDnAO5A9sEAAQfBCsEJQQbBBkEIQQ0BFAEawR1BGcESQQ0BDkEUARhBFcENQQLA+oD2APQA8gDugOkA4kDbQNTAzcDHQMGAvIC3QLDAqcCjwJ8Am0CXwJQAkACKwIRAfYB3QHDAagBjQF1AVwBPQEcAP8A6gDXAMEApwCPAHkAYABBAB3/9v/P/6n/h/9p/1D/OP8h/wn+8v7e/s3+vf6s/p3+lf6O/oT+dP5i/lP+Rv43/iP+DP3w/dL9s/2W/Xv9Yv1L/Tb9Iv0M/PL81Pyz/JD8b/xT/Df8F/v1+9P7s/uV+3b7Vvs1+xH66vrE+p/6ePpO+iD58vnG+Zv5cvlL+SX5Afjb+LH4g/hR+B336fez93r3QPcI9tP2oPZt9jf2AfXK9ZX1Y/Uy9P/0yPSQ9Fj0H/Pm87Hzf/NR8yXy/PLX8q/yg/JX8jHyEvHz8c/xqfGI8WzxT/Et8Qjw4fC78JXwcvBR8DHwEO/x79bvvu+o75Hvde9X7zvvJO8R7wDu9O7v7uru3O7G7rjuvO7M7tPuzO7C7r/uwe7B7sLuyu7X7uLu6O7v7vvvC+8c7y3vQe9W727vjO+w79jwAfAq8FXwgPCo8Mzw7/EU8TvxYvGK8bHx1vH88ivyZfKh8tXzA/Mv81nzfvOk89j0GvRZ9Ir0tPTn9Sf1afWk9dn2DvZD9nr2tPby9zH3a/ek9974G/hZ+Jb40vkM+UX5ffm1+ej6Efo0+lr6iPq8+u77HftL+3v7qvvW+//8KvxX/IP8q/zO/O/9Df0l/Tn9S/1g/XT9g/2O/Zf9ov2r/ab9iv1Q/P/8pfxa/Dr8Vfyn/Rj9h/3h/ib+Xf6E/pz+sv7d/yT/ff/YAC8AfwDAAOkBAgEbATkBVAFsAZEBxwH7AhcCGQIXAh8CKwIwAjICNQItAgUBvgF7AVgBTgE7ARUA6QDFAJ8AbAA5ABsAC//x/8X/mf91/0H+6P52/hH90P2t/Zz9jf1m/Qz8g/v1+4v7R/sR+tT6j/pF+fj5q/lh+RX4wvhs+B733/ew94v3Z/c19vP2sfZ99kj18/V39PP0ifQ189/zffMg8tnyrPKM8mvyQvIW8fbx5/Hi8dfxw/G08bLxrvGa8XfxW/FU8V3xZvFg8U/xR/Fe8ZHxuPGi8UHwvvBQ8Azv4+/T7/jwW/DB8MTwK+8T7cnsi+uM6wbrIuvB7Hfs5Oz77PLs+O0Q7SftNu1D7VHtXe1j7Wftbe187ZXtuO3g7g3uPO5n7ozuq+7K7ujvBO8f70DvZe+H76Xvx+/r8AzwKvBQ8InwzfER8VXxnfHp8jbyhfLa8y/zfPPB9Ar0W/St9P31UvWq9fP2IPY49kv2YvZ+9qH2zfb89yT3Sfdz96H3yffq+Av4Nfho+KH43vkY+Ur5dfmi+dX6CPo2+mb6m/rV+w37RvuD+8D7+vwy/Gv8pvzd/RD9Rf1//bv9+P42/nb+tv72/zX/c/+v/+kAJQBlAKYA6gExAXoBvwH8AjgCdAKtAuQDHQNcA58D3QQWBFEEkQTQBQ4FTAWJBb8F5wYKBi4GVAZ2BpMGrgbKBuIG8wcABw8HIAcvBz8HVAdvB44HrQfLB+gIBQgiCEEIZAiNCLsI8wkzCXMJpwnRCgsKZgrTCyoLVQtkC3sLpAvMC98L4AvgC+kL9gwFDBoMNAxQDGwMhQyTDIIMTQwJC94L2QvpC/QL/QwRDC0MPQw5DDIMNww+DDIMEAvtC9cLwwunC4cLcgtsC2QLUgs6CycLGwsQCwULBQsXCzcLVQtcCzwK+gqpCmMKNgoaCf8J3gm+CaoJogmeCZEJfAljCYUJWgkoCQQI+gkLCSMJLQkaCPQI0gjECMIIswiNCGMISQg9CCcIAQfcB8MHrQeLB2UHUQdXB2kHeAeLB6sH1Qf7CBAIFwgYCBMIBgf0B+QH1Ae5B48HYgdFBzkHJQbzBq4GdAZPBi0F+AW6BYUFZAVPBUQFSAVWBVoFRwUjBQAE3wS8BJgEegRiBEUEIwQDA+0D2wPFA68DnQOIA2UDMQL9AuAC3wLyAwsDJANBA2MDggORA4sDeQNjA08DQwNFA00DQAMKAsECiAJuAlkCLgHzAb8BlwFxAU0BPgFLAV4BXwFPAT0BNgE0ASsBEgDpALkAjgByAFsAPQAY//f/3v/H/6//m/+P/4H/Yf84/x3/Hf8s/zH/JP8T/wv/BP7q/rf+gf5g/ln+Uv48/iP+Iv4+/l/+d/6h/vf/YP+H/zH+gP3Z/YH9bf1l/Uj9Hfzt/Lb8ePxD/CL8Fvwe/EH8ffyy/LP8bPvy+236+PqV+j/59Pm1+Xv5Pfj8+MH4lPht+D/4BffK95b3YPch9uD2pvZ09kD2DfXb9Z/1SPTh9Iz0YPRH9Bzz1/OM80vzCvLH8oryV/Ii8dvxifE68PrwwvCO8FrwJO/n76PvWu8H7qTuKu2a7QHseOwQ673rYerq6mzqC+nO6aDpbek56QfozuiE6C/n2+eL5znm4eaJ5jfl6OWZ5Unk/eS15HXkN+P346/jYuMX4tHijeJG4f3hruFa4QvgxuCI4Eff+9+w32/fON8M3vLe5t7W3rPehd5i3kveKN3y3cfdzt4H3kHeRt4C3ZbdOt0d3ULdid3K3fzeLd5m3p3ewN7M3sjeu96j3nneQd4A3bjdZ90R3MPcjdxt3FTcM9wS3AfcGtw83F3cf9yw3PHdOd1+3cPeBd4w3jLeD93s3fLeOd6/32fgCuCL4OfhMuGA4driPuKm4w/jeuPq5F7k0uU+5aHl/+Zc5rfnCedT55nn1Ofx5+fnyefH6APoaeiu6JLoJufZ6Bvo/eof6xDrqewY7I/tE+2I7ejuQu6o7x3vl/AN8HLwwfEL8WTxzfIt8mzykvK68vDzLfNn86fz9/RV9K/1APVR9af1/fZF9n32rfbk9yr3gPfg+ED4lfji+TD5hvnj+kj6uvs5+738N/yj/Qn9eP33/n3+9f9M/3n/jP+d/7v/5AAPAEIAiwD2AX4CEAKaAxcDjQQABGsEyQUhBYEF7AZdBssHOAeoCBoIiAjzCV4JyAowCpsLDguAC+QMOgyTDPgNXA2hDbcNog10DT0NHQ1CDc4Osg+xEIcRIhGhEiESkRLNEuMTDBNtE94UIxQ7FFoUiRRzE78ShRFRELQQ0xFoEhMSnBL+E0gTghOqE8ETzRPTE9MTzRPEE8ATvRO2E60TqROuE7YTuBO0E6oTnROOE4YTihOYE6kTuBPHE9QT4BPvFAsUMxRYFGwUbxRwFHkUihSZFKQUshTEFNQU2BTYFOQU/BUJFPYU0BS7FMMU0BTFFKMUiBSBFIEUdxRuFHwUpxTdFQgVKRVLFWoVchVZFTsVRhV8FZ0VUhRzEx4Rhg/RDisM4wxUDKwNvA8REDsQ+xFTEWgRYBFQET8RMhElEQ0Q4RCrEIAQYBA2D/UPrg9+D2QPTg8yDxkO/g7TDpsOag5EDg8NvA1nDUMNWQ2ADYwNbg0rDNYMlgyPDK8Mtgx0DA0LygvKC98L2Qu1C4oLXws1CyQLUAutC+0LxwtECrcKZgpQClQKawquCxELUws1Cr8KMQm5CWYJPwlMCWQJQgjWCIQIwAmACi4KPAmkCMoIEgeiB28HXQdRBzoHIwcYBxIG/gbXBq0GjwZ3Bl4GPgYUBeAFtgWtBb4FyQW5BZ4FjAWCBXcFeAWTBawFmAVTBQ8E9QT2BOwEzQSsBI8EaAQ0BAUD7gPjA9ADswOfA6MDuAPMA9QD0QPTA94D8QP+BAED+wPzA+sD4QPQA7sDqgOhA50DlgOMA4MDgQOFA4sDkwOeA6cDqAOjA6cDtgPAA7QDlwODA4QDkgOfA6kDuAPMA94D6wP4BAcEFwQqBEIEXQRtBGsEXwRZBGEEcAR1BGoETgQrBAgD7gPiA98D2APGA6kDiwNvA1EDMgMXAwMC8QLZAr0CowKOAn0CcAJnAl8CUAI2AhYB9QHTAbMBlwGCAW4BUgExARUBAADqANAAtgCiAJIAfABdADkAF//4/9j/tv+V/3T/Vf84/x3/BP7t/tj+x/66/rD+qf6i/pj+jf6D/nv+cf5h/k3+OP4i/gn97f3Q/bP9mP18/V/9Qv0n/Q788/zU/LL8kfxy/FL8MPwM++j7x/uo+4z7cPtS+y37Bvrg+r36mvpy+kb6Fvnm+bb5iflf+Tj5E/jt+MP4lvhl+DP4AvfO95X3Wfcg9u32u/aH9lH2G/Xm9bP1gfVP9R306fSz9Hz0RPQM89fzpvN280bzGvLy8sryn/Jz8k7yMPIR8e3xx/Gn8YrxbfFK8SLw+PDN8KTwgfBj8EbwKPAJ7+3v1O+976bvje9y71fvP+8p7xXvB+8A7vvu7+7c7s/u0+7h7uju4u7c7tzu3e7Z7tXu2+7q7vXu+O7+7w3vIe8z70PvVe9q74Lvn+/C7+rwEfA48GHwjfC38N3xAfEm8Uzxc/Gc8cTx5/IM8jvydfKs8tnzAfMy82bzkfO08+D0HPRb9JD0wPT39TP1bfWi9dj2EfZL9oT2v/b99zn3cver9+j4Jvhh+Jr41fkS+U35hPm6+ez6GPo/+mj6lvrH+vj7KPtX+4P7q/vT+/78K/xZ/If8s/zY/PT9Cf0d/TX9Tf1i/XH9fv2O/aP9uv3Q/d793P3G/Zz9X/0V/Mz8l/yN/LH8+f1V/br+If58/sD+5f7z/vj/Cv8//5oABABYAIcAowDEAO4BFQE2AWABmQHVAgUCKQJMAmgCcAJhAk0CRAI/AiIB5QGkAX4BdAFpAUkBHgDzAMcAjgBYADgAKgAT/+b/uP+a/3X/Kf60/jv94/20/aP9k/1i/P/8gfwV+9P7p/t0+y763fqG+iv5z/l4+R/4vvhf+A33yfeK90n3B/bG9oL2QvYM9db1hPUP9I/0JPPO83zzIvLK8oXyVvI08hHx5/HB8a3xrvG08azxl/GF8Xzxc/Fj8VPxUfFg8XnxjfGT8YrxhvGe8dHx9fHT8WDwyPBE7+/vye/d8Dbwt/EO8OvwR+9b7mDtbuyY7BfsI+yk7TXtfe117VTtRu1N7VntY+1s7XTteO197YbtlO2l7bzt2O357h3uR+5w7pXusO7I7uHu++8W7zTvU+9w74zvqu/J7+nwDPA68HjwvPD+8UDxhfHN8hPyXvKx8wjzWvOm8/P0QfSO9N/1OPWS9dz2C/Ym9jz2VPZu9pL2v/bt9xH3Mfda94r3uffh+Ab4MPhg+JX40PkL+T75avmX+cv5//ou+lz6j/rE+vn7Lftk+5z70PwE/Dv8dPyp/N39Ff1R/ZD90P4S/lb+mP7Y/xf/WP+X/9QAEABOAIsAywENAVIBkQHLAgQCPgJ2AqsC4gMfA2EDoAPdBBsEWwSZBNUFFAVTBYoFtAXYBf4GIwZBBlsGdgaVBrIGxAbPBtkG5gb3Bw0HKgdMB24HjAenB8QH4gf+CBoIOwhjCJIIxgj9CTAJVAlvCZwJ9ApyCusLQAtvC5QLwAvtDAkMEQwODAsMCwwSDCAMNAxIDF0MbQxsDE4MFwvjC80L2gvwC/sL/wwRDDMMUQxbDFoMXwxlDFgMMwwIC+kL0AuxC4wLcAthC1QLPwsnCxcLDwsICwMLBQsVCy8LRAtCCxwK3AqWCmUKTgpBCisKCgnsCdsJ1QnQCcUJtgmjCbQJiwlaCTQJJgktCTkJNwkgCPkI1wjHCMMItAiRCGcITQg+CCcH/wfVB7cHoAeDB2UHVAdXB2cHfAeYB70H5wgLCCUIMwg2CCoIEQfyB9gHwAeiB3oHUgc7BzYHKwcEBsUGiAZbBjEF+wXABZAFcQVbBU0FSwVSBU8FNwUSBPEE1wS6BJgEdwRZBDgEFQP6A+wD4QPLA6kDggNaAywC/ALVAr8CugLBAtAC5gMEAyQDPgNJA0UDPAMxAyQDHQMkAzQDLgL3AqQCYQJCAjACCAHOAZsBdgFUAS8BGQEbASgBLQElAR0BHAEfAR4BDADhAKQAaQBCACoAE//3/9z/x/+w/5f/gf9z/1//O/8N/un+3v7n/vH+7/7i/tH+xf63/p7+ev5e/ln+aP55/ob+k/6d/pP+ef55/r7/K/9j/x3+cf3D/WD9Qv00/Rv8+vza/K78cPwv/AL79vwE/CT8SfxZ/Df72PtS+sf6Tvnn+ZL5VPku+RL47Pi2+H34T/gp9/33yPeU92b3M/by9q32c/ZG9h718/XA9Xz1HvS49Gj0OfQR89bzjPNG8wfyvvJv8izx//HQ8YrxM/Dh8J/wafA48A3v4++x73TvMe7p7ovuCO1p7MrsTevy65vrKuqk6i3p4um26YrpUekY6OToqOhY5/znpOdV5wXmr+ZY5gXltOVl5RnkzuSF5EHkAeO/43XjJeLY4pHiS+IF4b7hcuEg4M7gh+BM4BHfy99/3zfe+t7M3rLep96Z3nreU9453izeEt3Y3ZXded2X3dPd9N3R3W3c/dy+3M7dGt103cHeCN5Q3pHeuN7E3sText7E3qzeeN4v3dfdct0G3KbcYtw73B3b/dvg29jb6NwH3CncU9yK3MvdD91T3Zrd4t4X3ifeGN4D3gXeNt6f3zTf1+Bi4MjhFuFl4cDiJuKT4wHjcePh5FTkyuU65Zzl9OZN5qvnB+dW55fnxefV58Hnq+fH6CnonejH6Hrn9Oez6BnpFOo66yLrsewX7IPs/O1w7dXuOu6w7zrvyPA+8IvwuPDm8TfxrPIj8n3yufLp8xvzTfOA8770DfRo9MH1FfVq9cb2H/Zr9qX22PcP91b3q/gM+HD4zfkh+W/5vfoT+nj67vty+/P8YvzB/SD9lP4g/rX/Ov+W/8f/3f/2AB4ATQBzAJkA1gE8AcACSwLOA0sDyQRCBK4FCwVlBckGOgatBxgHfQfoCFsIzgk4CZoJ/ApmCtYLRwu1DB0MfAzVDS0NiQ3bDgoOCA3ZDZANSA0sDXkOTg+BEKcRchHrEk0SrRLwEwsTKhN9E/AUSBRsFHcUdBQzE30SYxFKEKQQphE1EgAStBMqE28TphPcFAQUFBQTFA0UBhQAE/4T/hP4E+oT3RPcE+MT5RPdE9ITyRO+E7MTsRO/E9gT8BQCFA0UExQfFDgUYBSFFJYUlhSYFKcUuxTHFM0U2hTuFPsU/BUAFRIVKRUpFQkU4xTUFNwU3xTHFJ4UfhRwFGwUZxRrFIUUshTgFQQVIxVHFWEVWBUtFQ4VJRVdFWYU7hPeElQQfg6bDQcMLwxRDUUOlQ/PELgRSBGOEZoRhRFsEWQRZhFZESsQ5hCqEIgQcRBFEAAPvA+TD4IPcg9XDzUPDQ7aDqEObw5HDhkN2g2ZDWoNSg0mDPcMxgyXDGkMSQxSDIEMoQyDDDgMAAv3C/wL6gvDC6MLiQtkC0MLWAutC/4L8gt+CvcKtAqwCrEKngqiCtsLHQsbCsMKSwnpCaQJdQlfCVgJOgjwCK4IwwkwCZkJoQk/CK4IJgfEB5IHiweQB4MHYwdIBzoHLgcTBu8GzgaxBpQGcwZJBhQF5QXUBd8F5gXUBbUFnwWSBYkFjAWlBbsFogVZBRME+wUEBQUE7QTHBKAEdgRSBEkEWwRnBEoECQPMA7QDvwPSA9wD4APsBAMEGwQpBC4ELQQoBB4EDAPzA9YDugOlA5wDngOkA6kDqQOnA6cDsQPEA9UD1gPKA8EDwQO/A60DkgODA4oDlgOZA5QDlAOhA7QDyQPgA/oEFQQuBEUEWQRlBGsEcAR6BIYEjASGBHYEYQRHBCkEDQP9A/cD7wPbA7wDngODA2cDSQMwAx8DDwL7At8CwwKoApICggJ8AnkCbwJXAjUCEAHqAccBqgGVAYEBZgFIAS4BGgEEAOgAzwC/ALUAogCEAGIAQwAmAAb/4/+//5v/ef9Z/zv/IP8G/vH+4v7Y/tD+x/68/rH+p/6f/pf+jP56/mb+Uv5A/iz+Ev31/dj9vf2f/Xz9Wv09/ST9DPzw/NL8sfyQ/Gz8R/wj/AH74fvD+6f7jPtu+0n7Ifr6+tf6tPqN+mH6MvoA+c75nvly+Ur5Ivj6+ND4ovhy+EL4FPfj96v3cPc59wj21vag9mn2NfYD9dH1nvVr9Tj1BPTR9J30afQz8//zzfOb82nzOPMN8uXyu/KT8m/yT/Iu8gnx5fHF8ajxiPFl8UDxFvDp8L3wmfB98GLwRPAk8Abv6e/N77XvoO+J73DvV+8/7yvvGu8Q7wvvAu717uzu7u727vju8+7y7vfu+e7x7uru7+797wXvBe8K7x3vNe9J71fvZ+9875Xvs+/W7/3wI/BG8Gvwk/C88OTxDPE08VrxgvGt8dfx/PIg8lDyivK98uLzBfM383PzpfPI8+z0HvRZ9JH0xvT+9TX1Z/WW9c72D/ZS9pH2z/cM90X3e/ez9/H4Lvhm+Jz42fkZ+VT5iPm7+e76IPpQ+n76q/rW+wL7Mvtj+4/7tPvb/Af8NPxc/IL8qvzQ/O39Av0Z/TT9Tf1f/W39fv2V/a/9yP3f/fD9+v39/fr97v3R/Z79Wv0Y/Or83vz4/T39p/4q/qj/Af8d/wX+4v7p/yv/jP/bAAYAIABEAHgAsQDoASMBZQGqAe0CLwJtApgCoAKIAmQCTQJFAjkCFAHbAagBjgGCAXEBUAEjAOsAqABtAEsAPgAp//z/yf+l/4X/SP7i/m3+EP3b/cD9o/1m/QX8n/xW/DH8EfvZ+4z7Ofrg+nv6Dfmg+TD4vfhR9/n3svdr9xv2yfZ89jb19/XF9ZX1UfTs9Hv0GfPM84PzM/Lg8pbyWfIh8eXxp/F48WfxbfFv8V3xQfEx8S7xKfEd8RbxJfFO8YbxuPHS8c3xxPHW8f/yEfHa8V3wyPBC797vtO/j8Grw+fEh8K/v2u8D7lXtu+0n7MbszO0r7ZPtve2n7X/tZO1a7V7tbO1+7YztlO2f7bHtxO3U7ebt/u4b7jjuWu5/7qDuuO7J7tvu9O8P7yrvRO9b73Lvi++p78vv8vAj8F/wn/De8R3xYfGp8fPyP/KR8ubzOfOJ89X0H/Rp9Ln1FvV09cH19PYW9jL2S/Zm9on2tfbg9wH3H/dF93f3qvfa+Aj4NPhg+I/4xfj++TH5XvmL+bz57foa+kb6dvqo+tn7Cvs9+3D7ovvV/Av8QPxz/Kf84f0g/WH9o/3q/jH+dP6z/vP/Nf94/7n/+AA4AHUAsgDxATIBcAGpAeACGAJQAoYCuwL1AzMDcAOvA/AEMQRtBKUE3wUbBVEFfgWlBcwF9AYbBj4GXwZ6Bo0GlgabBqIGsQbIBuUHBQcnB0cHZAeDB6QHxQfhB/sIFwg9CGkImQjFCOcI+wkOCUAJqgpACtQLPAt1C5gLvwvrDBEMJgwuDC0MKwwqDCsMMgxADFMMXQxODCUL8gvPC80L4wv8DAcMDQweDD8MYgx1DHwMgwyKDH4MWAwoC/8L4Au/C5gLdAtaC0QLLQsZCwwLBQr+CvgK/AsMCyILMAspCwUKzAqTCm0KXQpSCj4KIwoRCg8KDwoGCfIJ3gnNCcsJqwmCCV8JSQk+CTQJJgkOCO4I0gjDCL8IsQiOCGAIPggrCBYH8wfKB6sHmAeJB3sHcwd2B4UHnQe6B9kH+AgVCDAIQwhFCDMIEwfwB88HsAeSB3IHVgdEBzwHLQcJBs8GkwZhBjQGAAXJBZ0FfgVlBVEFSAVGBTsFHQT5BN4EzQS2BJEEaQREBCEEAgPsA+ED1QO6A48DWgMlAvgC1QK9AqsCngKYAqACtQLRAu0DAQMLAwsDCAMDAvsC9gMCAxoDHQLtApcCSAIcAgIB2wGmAXgBWgE8ARkA/gD0APYA9gD0APUA+wD+APsA6wDFAIwAUAAkAAf/7//W/8D/rf+W/3z/Y/9O/zX/Ev7q/sn+tf6w/rb+uv6u/pP+fv6G/qD+r/6k/o7+hf6V/r3+7/8S/wz+4/7H/uf/L/9N/v7+WP2w/Uj9HP0D/Oj8z/y4/Jf8Xvwa++T7zvvU++v7//v6+8f7Y/rl+mf5+fmY+UX5C/jv+OL4yvia+F34J/f59833nfdu90D3CvbF9nz2QPYV9fL1yfWU9Un06vSJ9D70CvPY85XzSfMA8rnyZ/IT8dHxoPFs8Sbw1/CO8E3wDO/R76bvhe9e7yvu9O637l/t2O0z7JrsK+va633q/Opu6f3pvemY6W3pMuj16Lzoe+go58zncuce5szmeOYm5dPlgeUy5Onko+Rc5BTjz+OJ4zvi5+KW4k3iB+HC4X7hOODq4JngUOAU39vfl99L3wDewN6Q3nTeaN5e3kbeJN4L3gTd9d3F3XndOt0v3Vrdkd2Z3Vfc6NyN3Hvcud0h3Ynd5d443nveoN6m3p/en96i3pTead4h3cHdVNzm3IzcUNwp3AXb3du927Lbu9vR2/HcH9xe3KPc5t0p3XHdu9343hveJ94m3ireR96P3wrfouAy4KDg9OFF4aHiCeJ54u3jY+PX5Evkw+U45Z3l9OZM5q/nEOdg55jnuOe4553nkOfG6ELotOi96E/nx+eq6DnpS+pz61nr6exF7Jrs+u1f7cXuNO6871rv9vBs8Knwv/Da8SLxmvIh8pby6vMj80zzcPOc89j0J/SB9Nz1N/WU9fT2Uvaj9uH3EvdF94T31Pgu+Iz46vlG+Zz58PpI+q37Ivuh/B38i/zv/VX9yf5R/uP/bP/RAAoAKQBNAIUAwQDrAQoBPgGbAhMCjQMCA3oD9wRvBNsFPwWlBg8GfAbnB08HtQggCJQJCgl2CdcKOgqoCxsLiAvxDFwMxQ0eDWkNuw4ZDmoOhQ5gDhANuA2HDbsOgQ+8EP0R3BJOEpQS4RMnE00TZxOgE/oUUhSIFJcUeRQWE10SZBFnELAQgBDxEdASuBNUE6AT0RQLFD4UUxRRFE0UThRKFEEUOxQ0FCYUFBQKFAwUDxQMFAcUAxP7E+0T6BP1FA8UJRQxFDYUOxRGFF4UhBSsFMMUxxTMFN0U7xT6FQEVERUkFSwVKxUyFUYVURU9FRMU8RTmFOYU2RS7FJgUfhRyFHAUdhSGFKUUzxT4FRYVLRU/FUIVJxT/FOkU9BT0FKMT1BKHENkO/A1IDDMMFgzpDkEPmxClEVMRthHeEdYRthGaEZIRkBF2ETgQ7BCyEJMQeRBMEA4P2A+4D6gPlQ93D1EPJA7yDrwOiw5fDjUOCQ3dDakNYw0VDOMM4wz6DPQMwQyMDIAMjwyLDGIMNgwfDA8L7wvIC7ELpAuGC14LXQufC+wL7guUCywLCAsaCxAKxgp0Cl8KgAqSCnEKOgoPCesJvQmPCXAJUQkYCNAIqAi1CNQI1giuCGsIHQfXB7IHtwfKB8IHlgdmB0oHPQcwBxoG/gbfBr4GngZ7Bk0GHgYEBgAF/wXvBdYFwgWxBZ4FlgWnBboFpwVpBSwFFQUeBSEFCgThBLQEiwR0BIAEpQS5BJYERQP1A84D0QPjA/AD9wQDBBoEMgRDBEoESwRIBD4EKgQQA/ID0gO2A6cDqgO6A8kDygO+A7QDuwPVA+wD7wPfA8wDwQO3A6QDkAOOA54DsAOxA6cDogOsA74D0wPsBAoELQRNBGUEcgR2BHcEfQSIBJQElgSOBIEEcwRgBEYELAQZBA8EBAPxA9QDtQOZA30DYgNLAzwDLwMdAwQC6ALNArMCnwKSAooCfQJmAkgCJwIGAeYByAGwAZcBewFfAUkBNwEgAQUA7gDiANkAxwCqAIkAaQBLACkABv/l/8b/pv+F/2b/Sf8u/xf/CP79/vL+5v7Y/sz+wP6y/qP+k/6A/m3+W/5K/jf+H/4F/ez90v22/ZX9df1a/UT9Lf0S/PT81fyy/Iv8Y/w+/B77//vg+8H7ovuB+137NvsQ+uz6x/qf+nT6RvoW+eP5s/mF+Vr5L/kF+Nr4rfh8+Ez4Hvfv97v3hfdS9yP28va99ob2UvYh9fD1vPWG9VD1G/To9Lj0iPRW9CTz8vO/84vzWPMr8wLy2/K28pTycvJN8ibyA/Hk8cXxovF/8VvxNPEI8N3wuvCe8ITwZvBG8CXwBO/k78nvte+g74fvbe9V70LvMe8l7x3vFu8O7wjvB+8J7wbvAe8D7wvvDu8I7wPvCe8U7xjvE+8X7yvvRu9a72jveO+O76nvx+/q8A/wMvBS8HPwlvC98OfxFPE/8WXxi/G28eLyCPIv8mDym/LP8vDzDfM783nzsPPV8/b0I/Ra9JP0yvUC9Tb1ZPWT9c72E/Za9pv22vcX90/3hPe89/n4NPhq+KL44fki+Vv5jvnB+ff6Lfpg+pH6vPri+wn7OPtq+5X7uvvj/BP8QPxi/IH8ovzH/Of9Av0d/Tb9R/1R/V39dP2U/bL9zP3j/fj+Cf4W/iT+NP4//jn+HP3n/aX9Zf06/TT9Yf28/jH+l/7N/s/+v/7K/wT/Uv+O/6n/tf/I/+8AJgBrAL8BHAF8AdsCMgJ3AqICswKtApcCfgJwAmwCWQImAeMBtAGmAaQBkQFgARsAzgCKAGEAUAA9ABb/4v+2/4//VP78/p3+Uv4i/f39zf2I/TP86Py4/Jz8dvw4++v7m/tB+tP6VfnT+VH4zPhQ9+33n/dU9wL2sfZn9iT16fW79ZX1ZfUm9OL0qvR19DDz1fNv8w/yt/Jc8ffxlPFK8SfxHvEO8Ovwy/DD8MzwzvDD8L7w2fEc8XjxzfH78fzx9PIH8iryIvHK8T7ws/A679jvr+/18JnxIPED8DPvIO5L7c/teO0j7PHtC+1k7brt2u3G7Z3td+1g7WPtfu2e7bPtvu3O7eXt+u4H7hXuLe5J7mDud+6R7qvuvO7G7tPu6O8A7xjvMO9H717vd++W77nv4PAM8D3wc/Cr8OXxJ/Fy8cXyG/Jw8sHzEPNe86rz8vQ69Iz06/VK9Zn10/X+9iL2QPZc9n32p/bP9u/3Dvc192X3mPfM9//4MPha+IT4tfjs+SD5Tfl3+aL5zvn5+iX6VPqE+rL64vsU+0b7ePut++P8F/xH/Hv8t/z3/Tj9e/3D/gv+Tf6L/sv/Dv9R/5P/1gAZAFgAlADSARMBUwGOAcYB/gI4AnACpwLeAxYDUAOOA88EDwRKBH8EswTnBRkFRQVtBZMFuQXiBgwGMQZLBlsGZAZtBnkGjAamBsQG4Qb+BxwHPQdgB4UHpwfFB94H+ggbCEMIbQiQCKUIrwjECQcJjAo5CtcLOwtpC4ILowvMC/QMEQwnDDgMQQw9DC4MJAwuDEUMTgw2DAgL4QvUC90L8gwHDBgMJww7DFcMdQyLDJcMoAyoDJ8MfQxLDBsL9AvPC6ULfAtYCzsLIwsVCw8LCAr7Cu4K7wr+CxILGwsRCvEKwgqTCnIKYQpSCj4KKwonCjEKNwoqCg0J8gnfCc0JswmUCXYJXAlCCSkJEAj5CN4Ixwi8CL0IswiNCFMIIAgEB/MH2ge6B6EHmAebB50HnQehB68HyQfmB/4IEggpCEEIUAhKCDEIEQfyB9IHsAePB3UHYAdNBzoHHwb4BsUGkAZiBjYGBgXVBawFjAVvBVUFRAU7BSsFCwTpBNMExQSuBIUEVwQwBBAD9APbA8UDrwOOA2EDKwL2As0CtAKlApQCgQJ4AoAClAKqAr0CzgLaAtwC1wLRAs4C0QLhAvkC/gLUAn8CKAHtAcUBnAFtAUkBMQEYAPcA2wDMAMcAwwDDAMkAzQDHALgApACIAF8AMQAI/+j/yv+t/5T/fv9n/1D/PP8o/w3+7f7Q/rj+n/6I/n/+fv5v/kv+NP5W/qz+/P8S/vH+yP7F/vb/RP+H/5j/ef9S/0r/Uv8y/sf+K/2b/Tv9Bfzf/MD8qfyV/Hj8SPwP+9r7uPup+6f7pvuT+1/7Cfqi+jv53vmH+Tj4+/jZ+Mj4sPiA+EH4BPfS96b3efdJ9xX21vaM9kP2CfXh9cH1l/Va9Qf0pvRJ9AHzy/OS80ry9/Kn8lzyGPHb8aPxY/ES8LzwdfA98ADvtu9x70PvJu8E7tvuse597iLtk+zt7GDr/+uw60nqweo46dbpoOl96U7pDujM6IzoR+f356DnRubt5pXmReX55avlV+UG5L/kfOQ14+njn+NU4wHiqOJU4gzhyuGI4UXg/+Cz4GLgGN/b36LfYN8U3sneid5X3jfeKd4j3hTd993c3dHdyN2n3WDdC9zY3OPdHN1J3Trc6dyI3Frcf9zl3Vzdwd4O3kPeYd5l3lreTt5F3jXeE93X3YDdGdy53HXcTNwp2/fbvtuS24Pbitud27vb69ws3HTcutz/3Ubdjt3Q3gXeKd493kfeV96I3urfcN/54Gvgx+Eg4YLh7OJf4tnjV+PT5Ezkx+U+5aXl/uZa5sDnIudu553nrued53Xnauex6DvopuiY6CHntefK6H/pl+q365jsJ+x67LrtAu1Y7bruMu7H73XwHPCY8Nfw8PEL8UvxtvI78rzzIfNg84DzmPO88/b0Q/Sa9Pj1WPW69h72gvbd9yP3Uvd797H3+/hO+KP4+vlX+bj6Gfp6+uH7TvvA/Df8r/0q/aL+GP6T/xr/pAAWAFoAfACkAOUBKgFYAXUBpgH+AmwC2QNBA7EEKASaBQUFdAXmBlEGsgcUB38H8QhkCNcJTQm9CiMKiArzC10LvgweDIsM/w1iDa4N/Q5jDscO/g70DsMOlQ6LDsgPbBBpEXYSPhKrEuoTLBNzE6YTwhPfFBEUVhScFMsUwhRsE88TAxIeEUEQthDOEZESlhNhE8gT/xQ7FHQUjhSPFJMUnhScFIgUdRRtFGUUVBRCFD0UQRRFFEYUQxQ5FCoUIhQuFEMUUhRVFFgUYBRsFIIUqBTVFPQU/RT/FQgVFxUjFTAVRRVYFV8VYBVqFXgVcBVLFR4VAxT4FOcUyxSuFJkUiRR+FHoUghSWFLQU2xUDFR4VKBUjFRAU8hTRFLMUfhQAExwR4hB0DuwNdgxoDCcMzg4PD24QlBFoEe4SKxItEgsR5BHIEbgRoxF4ETUQ8hDAEJ0QeBBJEBgP9Q/fD8oPsA+PD2kPQA8VDuoOvg6PDmMOPw4dDeUNjg0+DTINfw3iDfcNmw0RDLYMogymDJUMdAxXDDoMEgvmC8sLtguQC2ILWAuGC70LtQtrCycLJwtNC0UK5wpmChUKDAoiCjEKNAotChAJ2gmlCYwJgglaCQcIqwhwCF0IXQhdCE0IKwgBB+gH7Qf8B/UH0AegB3kHXAdEBzAHHAcBBt8GvQaeBn0GWgZABjIGJwYYBggF+wXmBcMFpgWiBasFngVxBUMFMgU1BTIFGgT1BM0EqASRBJUEqQSsBIcEQQQAA+ID6gQABA8EEAQPBBoEMQRJBFkEXgRZBEsENgQfBAgD7wPWA8IDvgPLA9sD3gPOA70DwAPZA/MD+wPtA9kDywO/A7EDpgOsA8AD0gPUA8sDxQPNA+ED+QQSBC4ETgRvBIcEkgSSBI0EigSLBI4EkQSRBI0EggRwBFgEQAQsBCIEGwQQA/sD3QO6A5gDegNiA1EDQgMwAxsDAwLtAtcCwgKvAp4CiwJ0AlwCRAIqAg4B7wHRAbQBlwF/AWoBVwE+ASMBDwEDAPkA5QDIAKgAigBqAEoALAAS//j/2v+6/5v/ff9g/0X/MP8g/xL/BP74/uz+3f7I/rH+nP6K/nn+Z/5V/kH+Kv4T/fz95f3K/a39kv17/Wf9Tv0y/RP88/zR/Kv8gvxd/Dz8Hvv9+9n7tfuQ+2v7R/sk+wD62vqx+of6W/or+fr5yfma+Wz5PvkS+Of4uviJ+FX4JPf098T3k/dl9zj3CvbY9qP2cPY+9gz12vWl9W71NvUB9NH0pfR39Eb0E/Pf86vzevNM8yLy+/LZ8rjylfJt8kTyIfIB8eHxu/GW8XLxTfEj8Pnw1/C88KLwhfBn8EjwJvAD7+bv0O+676Dvhe9v717vT+9B7zfvMO8p7yPvIO8e7xjvE+8U7xzvIe8f7x7vJ+8w7y/vKO8r7z/vWe9t73zvje+k78Dv3e/98B/wPvBc8HvwnvDF8PDxHvFJ8W/xkvG78ebyDvI18mfypfLc8v7zGfNB83zzs/Pd9AL0MPRm9J300/UK9T/1cfWl9eH2I/Zj9p/22/cZ91P3i/fE9//4OPhu+Kj45/kl+V35kvnJ+gL6Nvpm+pX6wfrp+xH7Pvts+5T7ufvl/Bf8R/xq/Ib8pfzH/Of9Bf0f/TH9N/06/Uj9Zv2M/a/9zf3n/gD+Fv4r/j/+Vf5q/n/+jP6I/mz+O/4B/c39r/2v/cz99f4d/j3+Yv6Z/uP/Lv9l/4H/if+I/4r/n//XADMAqwEwAbICGwJgAogCqALIAtoC0gLCArkCqQJ1AicB6QHZAd0BzAGWAUsBAAC9AIsAbQBTAC7//v/Q/6H/Y/8U/sv+m/55/kz+DP3C/X39Rv0f/Pr8yfyI/D376fuD+wX6e/nx+Wb41PhG99D3dPcm9t/2pPZ39lD2KfYF9eb1yvW19a/1sfWb9U/00vRH88rzXPLs8m3x7PF/8TfxBPDO8JPwbPBj8GbwW/BF8ETwcvDQ8UXxrfHo8fjyBvI08mDyQvHA8RPwfvAO77zvrPAU8M3xPvDe77/ufu2i7Tjs/uzQ7M7tFe2K7ezuEe397crtku1x7XftoO3K7d7t5u327hLuKO407kPuXe537ojuku6g7q/uuO697sfu1+7r7v/vF+8w70nvZO+F763v1O/58CHwT/CC8Lfw8/E78ZDx6vI/8ozy1vMi83DzvPQH9Fr0uPUV9WX1pvXb9gj2K/ZK9m32lPa69tv2/vcp91j3hve29+n4GvhG+G/4oPjX+Qv5OPlf+Yb5r/na+gr6Ovpp+pb6xfr4+yn7XPuS+8n7/Pws/GD8m/zb/Rr9XP2j/ev+LP5r/qv+7f8v/2//sv/2ADYAcgCwAPIBMwFxAaoB5AIfAloCkwLLAwADOAN1A7MD8AQqBGEEkgS/BOoFFQU+BWEFgQWlBc0F9AYRBiYGOQZLBlwGcAaKBqUGvQbWBvUHGwdCB2UHhQekB8EH3Af6CBsIPwhdCG0IdAiOCOIJfgo7CtgLLgtNC2ELfwukC8AL1gvzDBkMMwwwDBUMAgwQDC8MOQweC/cL5wvwC/8MBQwODCIMPQxXDHEMjAyjDK8Mtwy6DLMMlAxkDDAMBAvbC68LgwtbCzkLJAseCyALGgsFCu0K5QrwCwELBwr7CuEKvQqYCnkKZApRCj0KLgouCjgKPAovChMJ9wniCcMJqQmQCXoJYglECSQJBwjtCNQIvwi6CMAIuAiNCEUIBAffB9AHwAeqB5sHngeuB7wHvwfAB84H6QgICCEINQhMCGIIZwhTCDEIEgf6B98HvAeaB38HaAdNBy0HCAbgBrQGiQZgBjgGDAXgBboFmwV7BVwFRQU2BSUFCwTtBNYEwwSmBHwETwQpBAkD6APEA58DewNZAzUDCgLaArACkwKBAm4CXQJaAmcCegKFAo8CnAKpAqgCnAKTApYCowKyAsACvAKUAkgB8wGtAXoBTgEoAQwA+ADgAMEAqQCfAJsAmACYAJsAlgCDAGgAUQA+ACQABP/j/8b/p/+G/2b/R/8p/xT/Cv8A/ur+zP6z/p/+gv5g/kj+Pf4o/gD97v4q/q//NP9s/1L/Hv8M/zP/fv/D/97/zv+v/47/XP78/nP95v16/TL8+/zM/Kn8k/x+/GP8QPwY++37wPuV+2/7Tvsq+vn6tvpn+hf5yfl8+TL48vjD+KL4gPhR+Bb33Peq9333T/cZ9tr2k/ZH9gH1y/Wo9Yn1XPUV9Lb0UvP687fzgPND8vTymfJE8gXx5fHT8avxU/DY8GjwIO/y77nvb+8u7wTu5u7D7p7ufu5M7eLtP+yT7BPrwut16wnqhuoQ6cPplulq6S3o5Oic6FfoEufH53bnHubB5mfmGuXU5YnlM+Tf5JbkUuQK47vjbeMg4svicOIb4dXhl+FY4RLgx+B34Cbf3N+e32bfJ97e3pPeUt4d3fnd593m3ePd0N2y3Zjdh91q3S7c2NyP3HzcpNzj3QTc59yf3GjceNzT3Uvdqt3d3fXeBN4L3gPd7N3P3bTdmd1u3Svc2NyP3GPcSNwf29fbg9tI2zjbSNtk24fbt9v13D3ch9zQ3RfdXN2f3d/eFd443kreWd5/3s/fQt/A4DLgmeD+4Wfh1eJJ4sjjT+PV5Fbk0eVF5avmCOZp5tHnMOd155rnn+d950jnO+eM6B7oguhq6AHnxegR6OPp8+r768vsUuye7NPtD+1c7bvuNO7T747wP/DC8Q/xO/Fj8Z3x9PJm8uTzUfOX87jzyvPp9B70ZvS69Rf1ePXZ9j32qPcQ92D3kPex99/4Jfh1+ML5EPlr+dL6Pvqo+w/7c/vb/E781P1n/fb+dP7s/3IAAwB9AMIA3AD6ATYBfQGqAcYB9gJOAroDIgOHA/cEawTYBUMFtgYtBpQG7QdNB8UIRgi9CSwJnwoSCnsK2QsyC4oL3gw2DKINHg2SDfEOSQ6wDxkPYg+AD44Prw/uEEcQvBFVEgESmhMFE0sTiBPGE/0UHxQvFEEUcBTCFRwVSRUsFM0UQBN9En4RhBEQEW8SXhNJE9cUJBRpFKoUyxTQFNkU7BTtFNIUtRSsFKwUoRSLFH8UfxSDFIIUexRuFF8UWBRiFHMUfhSAFIUUjxSbFK4U0hUCFSUVKxUjFSUVMhVCFVUVaxV/FYgVjBWYFZ8VjBVgFTgVIxURFO4UwhSiFI4UeBRdFEwUTRReFH4UqxTaFPUU+BTqFNMUrhR0FBUTaxJaEPgPjg5XDV4Mrgx/DQkOKw92EIsRWhH6EmISfhJZEiIR/hHsEdcRsRF6EToQ/xDOEKMQcxBDECAQDA/+D+cPxw+jD3wPUg8sDwwO7Q7FDpoOdw5TDhgNwg2BDZcOCQ6BDowOEA1gDOsMzAzUDNAMvAynDIsMXwwtDAML1guZC2ELVAtzC4kLZQscCvELBQsxCzIK7QqFCjAKDAoWCjkKVQpNChYJywmcCaMJvwmyCWAI6AiGCFUITwhcCGoIcghyCGkIVwhACCsIHQgOB+0Htgd6B1IHPgcpBwUG2wa5BqIGlQaKBnwGZgZPBkEGNwYdBe0FuwWhBZoFiwVtBVEFRwVFBToFIQUEBOgEygSuBJoEjAR1BE4EHgP4A+wD/QQZBCkEIAQNBAkEIQRHBGUEbwRnBFYEPwQpBBkEDAP9A+gD2APYA+UD7gPmA9UD0QPjA/8EDwQKA/sD7QPiA9kD1APXA+QD8QP0A+4D6APuBAQEIgQ7BE4EYQR4BI4EnQSiBJ4ElgSNBIgEjASUBJYEiwR2BF8ESwQ6BC8EKwQoBBwEAQPdA7kDmAN9A2QDTwM5AyMDDgL8Au0C3wLPAr0CqQKVAoECagJRAjQCFAHyAdQBuwGoAZYBfwFiAUYBMgElARcBAQDmAMkArQCQAHQAWwBGAC0ADv/u/9D/tP+V/3T/V/9B/zH/Jv8e/xP/Av7p/s7+uP6m/pX+g/5w/lr+Qv4q/hL9+v3g/cX9rP2W/YD9Zv1I/Sn9C/zq/Mf8ofx9/Fz8Pfwb+/X7zful+3/7Wvs2+xL67frG+p76c/pE+hP54vmx+YD5UPki+Pf4yviZ+GP4Lff598r3nPdx90f3G/bt9r32jPZa9in1+fXI9ZT1W/Uk9PL0xvSZ9Gj0NPP/88zznPNv80XzHPL48tfytPKM8mLyPfId8fvx1PGt8YjxYvE28Qzw7PDS8Lrwn/CE8GjwSPAm8Ajv8O/Z77/vpO+P73/vcu9l71rvUe9I70DvPO847zHvK+8q7y/vNe837zvvQ+9K70nvRe9M72Dvd++J75fvqO+/79nv9fAT8DDwS/Bn8Inwr/DX8QDxKvFT8XjxnPHE8e7yFfI88m3yqvLk8wzzKfNQ84bzvPPq9Bb0R/R89LD04vUX9U/1iPXB9fz2NvZs9qD22vcY91X3kPfK+AP4O/hx+Kv46fkj+Vn5kPnM+gb6Nvpi+o/6v/rs+xj7RPtu+5X7uvvm/Bj8Rfxq/Ir8qfzJ/OT8/P0P/Rr9H/0n/T39Yf2J/a79z/3r/gT+H/4+/l7+dv6H/pz+uP7V/ub+5P7O/qf+c/44/f390f2//c/9//5C/o3+1f8Y/1L/dv97/2j/Wf9v/7gALAC7AU8BzAIeAlEChwLLAwQDFwMQAwMC7QK2AmMCIwIOAgwB7wGxAW0BMwEAANIAqQB/AEoAD//g/7j/hP9B/wj+6f7P/p3+Uf4E/cr9nP1v/T79B/zJ/H78HPue+w36efnr+Vr4vPge95b3MPbn9rr2rfa69s721vbK9q72kPaE9pj2t/aw9l71zPUs9KP0NPPK81by2vJh8fPxivEf8MLwhvBn8ETwDO/Z79jwGPCF8P3xZfGr8djyDPJY8ozyWfGy8N/wNe/K75fvtvBE8P/xSPCr71/uEe067NTsm+x77JrtDO2n7iLuUe447fPtqO187YPtr+3b7e7t9e4I7ifuQe5Q7mPuf+6Y7qHuoe6l7qzusO6z7r3uy+7a7uzvA+8d7zTvSu9s75jvxe/r8BHwP/B08Kjw3fEa8WTxtvIE8kzylPLi8zTzhfPU9Cj0gfTY9Sj1cPWw9eX2DvY09l/2jPaz9tT2+vcn91X3fvem99P4Afgt+Fj4ivjA+PX5JPlP+Xf5n/nN+gD6Mvph+o36vfrv+x/7T/uE+7v77/wg/FT8j/zM/Qn9SP2O/dX+Fv5U/pX+1v8W/1T/lv/YABgAVACSANMBFAFRAYsBxQIAAj0CeQKxAugDIQNeA5kD0wQMBEQEdwShBMkE9QUiBUYFYgV/BaMFxgXjBfwGEwYmBjYGSgZlBoIGnAa2BtoHAwcqB0oHZweGB6MHvAfVB/AIDggqCDsIRAhfCLcJWgogCr8LEQsrCz4LXQt5C4ILiAukC9YL/Qv9C+EL1AvtDBUMHgwDC+wL/QwiDDQMKgwhDDEMTwxsDIUMowy+DMoMyAzBDLMMlQxmDDQMBwveC7MLiQtjC0ILLwssCzMLLgsUCvMK4wroCvUK+AruCtsKwwqnCooKbApSCj0KMAosCisKJwoZCgYJ8AnbCbAJlQmBCXEJXQlCCSMJBAjmCMsIugi6CMIItwiGCDoH9QfOB78HswekB6AHrQfFB9YH2AfYB+MH/wgfCDsIUwhtCIAIfQhfCDgIGggFB+4HzgesB4wHbQdKByQG/gbYBrEGiQZiBjsGEgXrBcoFqwWIBWQFRwU0BSYFEwT7BOAEwwSiBH0EVgQtBAID1AOiA3MDTAMxAxwC/wLUAqECdwJZAkICNgI8Ak0CWwJcAlwCZQJvAmkCVQJKAlMCYwJpAmMCUgIwAfYBrQFoATEBBgDmAM8AugCfAIMAcgBxAHMAcgBuAGkAXQBFACwAGQAJ//P/1/+9/6j/kf90/1D/Jf75/tn+zv7O/sP+qf6N/nX+Wf43/hz+Cv3u/cX9vP4J/qT/P/+M/4H/VP8+/1X/iv+3/8b/u/+l/4H/MP6o/gr9jP1E/Rj87Py9/Jv8hvxx/Fj8QPwo/AT7y/uE+z36//rK+pj6Yvon+ef5pflj+SD43vih+G74Q/gZ9+r3tveE91T3Ifbm9qD2VPYH9cH1i/Vn9Un1GfTK9GTz/vOs827zNvL18qTySvH48cjxwvHI8aLxNvCj8Cnv4e+v73PvLu777trutu6K7mjuU+4f7aHs6Ow368XrhetA6tnqY+oF6cjpmOlZ6Qnotehr6Cnn5uee507m9uaY5j7l8+Wv5WTlDuS35GvkJePZ44jjOuLu4pziQ+Hu4abhaOEo4N/gkeA/3+7fpd9n3y7e796m3lveGd3k3bzdqN2p3bLdrN2O3WLdON0R3N3cl9xR3CvcOtx13LXczdyx3Ijcjdza3Undmt2z3a3drN213a/djd1d3TXdHd0G3Nzcotxx3FTcO9wA25rbLNrn2tza+dsj21Dbgtu+3AXcU9yf3OXdJd1p3bDd8t4g3jneTd5y3rnfH9+U4AngeeDn4VbhxuI84r7jSuPW5Frk1OVE5armDOZy5trnM+dv543niedb5x/nGOd16AnoYuhE5/Hn6ehq6VHqVOtA6/rsdOy57OrtJu1w7cnuP+7k76nwYfDn8T7xfPGy8enyL/KQ8wbzd/PG8/D0CfQn9Ff0l/Tn9UL1oPX99l72zPc995f3zffv+B34YPiq+PD5OfmS+f36bvra+z/7oPwF/Hj9BP2h/jz+x/9O/+IAfgD5ATEBOAFHAXsBvQHoAf8CLgKGAvQDXwPKBEEEuQUmBY0F+wZtBtIHLgeYCBwIogkWCYAJ8AplCsoLGgtiC7AMBgxkDNANSA2/DikOjA7yD1kPsQ/5EEgQtBEzEaYR/BJFEp4TChNuE7QT4RQMFD4UaxSDFJAUtRUMFYEV3xX+FeQVoRUaFCES1hHMEZQSMhMdE9AUOxSNFNkVBxUUFR0VLxU1FR4U/xT1FPgU7xTZFMYUwRTAFLgUrRSgFJMUjBSRFKAUrhS3FL4UwxTHFNQU+RUrFU0VTxVDFUYVVxVqFXkVixWeFagVrBW0FbkVqBWCFV4VRRUnFPcUwRSTFGUULRP2E9MTyhPYE/8UPhR8FKAUpRSaFHoUKBOTErkRmBA3DswNsg0aDO0NCg2EDnUPqRC0EWQR4RJSEp4SmxJbEh8SCxIGEfARxBGNEVERFRDcEKgQdhBLEC8QIhAVD/wP2A+xD4YPWA8wDxgPBw7xDtAOqw6ADkIN9g3GDeEOPQ6GDmUN2w1DDPQM8Az+DPwM8wzuDNsMsQx9DEsMCQuwC2cLWwt4C3sLRAr/CuQK9AsCCvQK1QqvCoEKVwpNCm8KlwqPCkYJ6Am1CccJ9Qn9CbsJRgjYCJUIfAh+CJgIzAkGCRUI4AiJCFAIWAh5CHIIKgfKB4UHaQdYBzcHBwbcBsgGygbSBsoGrAaGBm4GXwZBBgwF0gWrBZcFhQVuBV8FWwVWBUUFKwUWBQME7QTQBLAEjQRoBEAEGQP+A/cEBwQjBDEEIgQEA/kEEwREBG0EewR0BGMETQQ3BCoEJQQgBA8D9wPqA/ED/wQCA/cD7gP6BBcEMQQ4BCwEGwQOBAkEBQQBBAEEBwQOBA8ECwQQBCcERgRcBGMEZgRzBIcEmgSlBKgEogSWBI0EkAScBKEElAR9BGoEXQROBD0EMQQqBCEEDAPxA9cDvwOkA4YDaQNPAzYDHAMGAvkC8gLqAuAC0wLEAq8CkgJyAlACLQIMAfAB3QHRAcMBrAGPAXIBXQFNAToBIgEIAO8A1gC8AKEAigBzAFgAOQAa////5f/F/6H/f/9m/1X/S/9D/zn/J/8O/vP+3P7I/rb+o/6Q/nr+YP5E/in+EP33/d39wv2o/Y/9df1a/T39IP0B/OD8vvyc/H38Xvw9/Bj77/vF+5v7cvtK+yT7APrc+rb6jfpg+i/5/fnK+Zj5Zfk0+Qf42/ir+Hb4PfgG99X3qfd/91T3KvcB9tX2pvZ09kT2F/Xq9br1hPVN9Rr06/S89Ir0VvQg8+3zvvOS82jzPvMY8vXy0fKp8oDyWvI48hXx7vHH8aHxePFL8SHxAPDn8NDwt/Ce8ITwZ/BJ8C3wFO/97+Pvyu+176Xvl++L74Hvd+9s72LvW+9W70/vSO9F70jvTe9R71bvXO9f71/vZO9y74jvne+s77nvyO/b7/LwDvAs8EfwXvB68J/wyvDy8RbxOPFc8YHxp/HR8fzyJfJM8nrysfLp8xfzPvNo85rzzvP99Cz0X/ST9MP08fUk9V31mvXW9g/2RPZ29qr24vce91r3lffP+Aj4Pfhz+K346fkg+VX5jvnL+gT6M/pe+o36vvru+xr7Rvtw+5n7wvvu/Br8Qfxi/IT8pPy//NP84vzv/Pr9CP0f/UH9Zf2I/az9z/3t/gX+If5I/nT+lP6m/rf+0f7z/xX/MP9C/0b/NP8H/sH+c/4z/hH+Df4d/jf+YP6f/u7/NP9X/1X/SP9R/4D/0gBAAMIBSAG7AhUCZgK4AwEDLQM8AzsDIgLkApICVwJCAjMCBgHBAYUBXQE/ASMBBADQAH0AI//n/87/tv+I/1b/Nf8W/tz+iv4//gr93v2s/Xb9Q/0J/Lj8RPu1+xn6ffnj+UL4mff393H3EPbX9s32+fdO96r36/f+9+L3p/dt91P3VPdF9v72g/X49Xz1GvTH9H30MPPW82Py1PI98b/xbfEw8N7wbfAO7/XwJ/B98NrxN/GT8eryO/KD8pfyRPGK8LLwDu+877Xv//CU8SHxHPBF7u/tuez+7KHsZuxI7HDs8u2e7izuae5S7gXtre127XTtme3A7dbt5u4B7iTuP+5S7mruiO6f7qXupO6l7qjuqO6r7rbuxe7T7uTu/O8U7yTvMO9L73jvq+/W7/7wLvBn8J/w0/EJ8UjxjvHV8hvyZfK18wjzW/Ot8/70UPSf9O71PfWI9cX19PYi9lr2kva99tz3APct91r3gPei98j38vgc+Ej4ePis+OD5FPlG+XT5oPnO+gL6Nfpj+o/6wPry+yD7Tvt/+7T76Pwb/FP8j/zK/QL9P/2C/cb+Bv5D/oL+wv8A/z3/ff+9//wAOQB5ALoA9wEyAWwBpwHiAh8CWwKVAs4DCANFA4ADtwPtBCYEWwSHBK4E3AUNBTYFVAVwBZAFrgXFBdkF6wX6BggGHQY+BmEGgQagBsYG8QcXBzcHVQdxB4kHnAewB8kH5QgBCBUIIAg2CIIJHQnjCowK5gsFCxkLNgtKC0gLRQtfC5ULwAvFC7ILsgvXC/4L/wvkC+UMGQxaDHQMZAxVDF8MdgyHDJsMugzYDOAM0gy8DKUMhAxXDCkMAAvZC7ILjQtsC08LOws2CzsLOAshCwEK7wrvCvYK9AroCtsKzQq3CpYKbwpNCjkKMAoqCh8KDQn8Ce4J4AnLCZMJewlrCV4JTgk4CRwI+gjYCL0ItAi6CMAIqwhzCCkH7QfLB70HtQewB7gHzQfnB/cH+gf6CAMIGAgyCEkIYAh4CIgIgghoCEcILQgZCAIH5AfBB5wHdQdPBysHCQblBrwGkwZtBkcGIQX/Bd8FvgWWBWwFSAUwBSEFFAUABOIEvwSdBIAEXwQvA/IDswN7A04DLAMZAw8C/QLUApkCYQI4Ah8CFgIeAi8CNgIvAicCKgIvAiUCDwIFAgwCFAIJAfEB2wHFAaABaAEqAPYA0ACxAJYAegBcAEUAPQBCAEYAQQA3ACwAIgAWAA0ABf/1/9f/tv+g/5X/iv91/1P/Iv7k/q7+lv6Y/pr+if5s/k/+Nv4f/g39+f3X/a39q/37/o//Hv9q/2v/TP87/0n/bP+G/4T/bf9T/y7+2f5G/aP9Lvz6/OT8yPyk/If8c/xf/Er8OPwk+/n7r/tS+vj6rfpx+j/6Evnj+bD5ePk/+QX4xPh9+D34DPfm97/3jvdY9yX28va39nH2I/XT9Yf1SvUh9QT02/SR9Czzx/N08zDy7vKp8mHyFfHN8ZnxgfFp8SjwtfA279vvpe9y7y7u7e7D7qLudO5B7iTuFO3b7VDskevs647rXesg6sLqXOoM6dLplelD6OLoiehC6AfnyOd95ynmz+Zy5hrlzeWG5Tnk5eSQ5EPj+eOp41fjCOK+4nDiG+HH4XvhN+Dz4KvgXuAQ38PffN883v7eu95v3iLd4N2s3Ybdb91v3X/dhN1p3S/c7dy23IbcUtwZ2+3b5twP3FfclNyj3JDcjdzC3RzdY9153XLdcd123WfdNtz23MfctNyv3J7cf9xh3EvcJtvU21Ta19qP2ozasdrh2xLbSNuJ29TcI9xv3LDc7N0v3X7dy94C3iLePd5n3q3fDt+A3/bgauDa4UvhveI24rnjRePQ5FTkzOU75aPmC+Z35uDnM+dn53znbuc+5wrnFOd/6A7oU+gp5+roEui/6bXqqut/7CbslezU7QTtQ+2N7eDuUu7778jwg/EI8V/xovHd8hbyWvK48yvzmfPs9CP0SfRs9Jb00PUd9Xb10fYq9oj29fdm98b4CPg6+HH4sfjx+S35cvnN+jz6rfsX+3n73PxF/Lv9Qf3V/mr+/f+ZAEMA5wFZAYABegGDAbcB9wIdAjICXgK1AyQDlAQHBIQFAgVwBdIGNwahBwkHcgfpCG8I7QlbCcQKNAqlCwILTQucC/0MbgzhDUwNrg4JDmIOvg8hD4sP9xBnEOYRfBIXEpUS3xMJEzwTihPbFA4UJhRCFHYUsxThFQAVKRV7FfAWYBakFr0WvBaBFb4UXxLdEf8SIxLvE78USRSoFPwVOhVTFVsVaRVyFWQVSxU+FTsVLxUZFQcVART7FPAU5BTbFM8UwhS/FMsU3RTqFO8U7BTmFPAVFxVPFXQVdxVvFXkVjhWcFaEVrRW9FcQVwRXEFc0VxxWlFXUVSBUfFPYUyBSLFDYT0BN5E0QTKBMfEzoTgBPRFAUUFBQJE8oTJRIREMMPdg5MDWwNDQ07DbkOSQ7yD9QQzBGJEe8SMRJ2EqESixJMEiISHBIWEfYRyBGaEWYRJhDlELIQihBnEEsQOBAjEAMP2g+xD4kPXQ82Dx4PFw8SDv0O1w6iDmEOHg34DggOPA5NDgINdQ0EDOkNAw0SDQQM/A0BDPcM0QynDIAMOQvKC28LaAuXC6YLewtQC08LUAshCtwKwArOCs0KpAqFCqMK5gsECtcKeworCgoKEgoaCfsJrAlNCQEI0Ai0CL4JAAlbCX0JLwijCEkIWQidCK8IbAgDB7YHlQeGB2sHPwcSBvgG+AcDBv8G3QavBowGdQZWBiQF7gXGBawFlAWBBXkFeAVxBVwFQgUuBR8FDQT2BNoEuwSYBHAERwQkBBEEEwQkBCwEGwP/A/cEEwREBGwEfAR4BGwEWwRHBDoEOQQ6BDAEGgQGBAQEEAQWBA8EBwQSBDMEVgRiBFMEOQQqBCkEJwQcBA4EDAQZBCYEKwQzBEkEZwR2BHQEbwR4BI0EoQSuBLUEtASqBKAEogSvBLUEqASRBIEEeQRqBFAENgQkBBgECAP4A+wD4gPOA7ADkgN7A2UDSAMpAxMDCAMBAvoC8wLpAtQCswKLAmYCRAIlAgsB+wHyAegB1gG9AaQBjgF6AWIBSAEuARUA/ADjAMgArgCVAHkAWgA+ACQADP/u/8v/qP+M/3j/a/9g/1T/Qv8r/xL++f7h/sz+uv6q/pb+ev5a/jv+I/4N/fX92P26/Z/9hv1t/VP9Nv0Y/Pn82vy7/Jz8f/xh/D78Ffvq+777kPtj+zn7Ffrz+s/6p/p8+kz6Gvnl+bD5fPlI+Rf46/jA+I/4V/ge9+v3vfeS92f3PfcV9uv2vvaN9l32MPYF9df1pvVz9UH1EPTe9Kz0ePRC9A7z3/O1843zZPM88xXy7/LH8qDyefJV8i/yCPHi8bzxlPFn8T7xHfEE8O3w1PC48J7wg/Bp8FDwOPAf8Afv8O/c78vvu++v76bvnO+Q74Xvfe9372/vZ+9j72TvaO9s72/vce9x73Pvfu+S76rvvu/N79rv5+/28AvwJ/BH8GPwevCV8Lvw5vEO8S3xSvFp8Y3xtPHf8gzyOfJj8o7yvvLv8yDzT/OA87Hz4fQO9D30b/Si9NH0/vUv9Wf1o/Xd9hX2SvaB9rv29vct92P3mvfU+A74Q/h4+LH46/ki+Vj5kPnK+gD6MPpf+pD6wPrt+xj7Q/tv+5v7yPv1/Bz8O/xY/Hf8lvys/Lv8xvzS/OH8+v0f/Uf9aP2C/aP9zP3w/gr+Jf5M/nj+nP62/s/+7v8Q/y//TP9q/4b/m/+h/5D/Z/8t/vD+tv6D/lz+Tf5h/pL+zP74/xD/If9C/3T/rf/qAD8AuwFSAeECUAKiAuUDHwNPA2UDTwMKArgChAJwAlgCIAHWAZgBbgFWAVEBUQEtAMkASv/5/+v/7//W/6P/c/9D/wD+r/5q/jr+D/3f/a/9gv1E/Ob8afvd+0b6pvn7+U34qfgb96v3Wvcu9zz3kvge+K35Evk5+Rv4wfhE99D3hvdb9zH28vae9kD16PWo9Yr1gPVk9RH0hPPe81Ty/vK+8l7x1fFQ8QPw7/D38RfxZvHn8m7yyPLc8qTyIvFt8L3wSPAj8ELwk/D08Rnwse+y7nfteOzj7JXsXuw/7GDs0+127gnuVe5L7gTtqu1p7Vjtbe2O7aztyO3p7gruIu437lLucu6K7pXume6e7qDun+6h7q3uve7M7t/u+O8P7xrvH+8x71jviO+y79fwBPA78HbwsPDs8SzxcfG58gPyUfKh8vLzQ/OU8+T0L/R39MP1GvVv9bP15PYY9ln2mfbG9uD2/vcp91n3gfel98v38vgb+ET4cPie+M75BPk++XT5o/nR+gT6N/pl+pL6w/r1+yX7UvuC+7X76Pwc/Ff8lvzR/Qb9Pv1+/cD9/P43/nL+r/7r/yj/Z/+l/+EAIABiAKEA2wEUAVEBjwHLAgYCQgJ8ArQC7QMpA2QDmQPMBAMEOARnBJEEwATyBR4FQQVhBYIFnQWvBb4FzAXaBekGAQYlBkoGawaLBrIG2wcCByUHRgdfB24HfAeRB60HyQfmCAEIEQgiCFwI5AmlClcKvwrlCvcLDgsfCyALIgs/C3MLngupC6QLsgvWC/AL5AvOC+YMNQyKDK4MqQymDLIMuwy2DLcMzgznDOgMzwyxDJUMcgxGDBwL9wvSC6oLhwtrC1MLQAs5Cz0LPgswCxkLCgsGCwMK9wrmCtcKywq1CpAKYQo8Ci4KMAouChwJ/wnlCdQJxAmuCXAJWwlOCUMJNwkmCQwI5wjBCKsIrwi/CMAInQhdCBYH4QfDB7cHtwfFB90H+ggRCB8IJQgpCC4INwhCCE8IXwhwCHwIeghtCFwISwg5CCIIAwfdB7EHgwdcBz0HHQb2BsoGogaABl4GPAYZBfcFzwWhBXMFSgUrBRQFBQTzBNcEswSUBH0EXgQnA90DlwNjAz4DIAMKAvwC6gLDAogCTAIgAgYB/QIBAgkCCgH/AfMB7wHtAeEB0AHGAcYBvwGlAYcBdwFuAVcBKADvAMEAnwB9AFYALAAL//z//wAIAAn//P/s/+T/5v/v//r/+//o/8L/nf+J/4P/fP9r/0//If7d/pf+b/5u/nv+d/5e/kH+Lf4i/hj+BP3f/bf9tv35/m3+3P8a/yX/Ff8I/xH/Lf9E/zv/FP7o/rv+bf3q/VL84vyz/KX8lfx8/Gb8VfxD/DD8IvwJ+877bfr9+pz6VPod+e75w/ma+W35PPkJ+NX4l/hR+Az31vet94H3SfcN9tn2q/Z39jX16/Wd9VD1DvTj9M30svR59B/zuPNV8vTyl/JJ8g/x2vGZ8Uvw9/CZ8CzvwO94717vVO8z7vbuuu6O7mPuLe377eDtw+1z7ODsOeu763nrT+sQ6rXqWOoL6cvpg+kn6MLoaegl5+3nr+dh5wjmquZP5frlquVd5Q/kv+Ru5CDj0ON94yni2eKO4kLh8+Gg4VHhB+DB4HvgMt/o35/fWN8V3tLeiN453ezdrN183VjdP9083UvdVd093P/cstxy3EPcGNvn27nbo9u42/fcQtxu3GvcWdxl3Jrc3N0P3TDdRd1H3SPc3dyU3GncZNxy3Hrccdxf3EbcE9ur2xraldpQ2lHadtqg2s7bCttU26Xb9Nw73HXcrdzy3Ujdn93g3gjeKt5a3qXfCN963/DgY+DR4ULhuOI14rjjP+PH5Enkw+Uz5Z/mDOZ95ufnOOdj52znVecm5wXnKeef6B7oRugQ5+joO+kM6gfq6eun7EDsqOzl7RjtXe2r7f7ub+8c7+/wqvEr8XzxuvHz8jHygvLs813zv/QL9Ej0e/Sl9M71BvVS9an2APZW9rL3GveE9+X4OfiF+M35DvlF+Xf5t/oS+oH68ftX+7j8HvyP/Qb9gv4C/oj/HP/DAHcBGgGDAaQBogG1Ae4CLgJUAmsCmgLyA2AD0QRFBMIFQAWuBg8GcAbXB0cHvgg8CLoJLwmeCg4KewrbCy4Lhwv7DIkNHw2mDg0OTw57DqoO7g9LD78QRRDaEXkSGhKsEx0TYROLE7wT/BQzFE4UXBSAFMQVEhVVFYoVvxYHFmkW1RctF2UXjReSFxoV0hQBEocSIRK9E6oUWRTBFRYVYBWKFZcVnhWmFaEVkBV/FXIVYRVOFUIVPhU4FSsVIBUYFQsU+RTuFPUVBRUSFRUVEBUJFRIVPBV2FZ4VphWkFbEVwxXHFcQVzRXdFd4V0RXSFegV7RXAFWsVGxTyFOoU3hSlFDATohMqEs4SdRIdEfUSHRJ2EsES5RLeEoQRoRBMDvMN/A2CDXcN2A6MD0sP2hBLENsRhhIMEkkSYBJ2EoASZxJDEjYSNRIbEeURtRGTEWgRJxDnEL0QpBCJEGoQTBAsEAAPzw+mD4oPbQ9MDzIPKg8rDyAO+g7BDn0OOw4RDhkORA5RDgUNeQ0NDPsNFw0VDPIM3QziDN0MvgylDJIMUwvZC3MLdgvEC/UL7wvxDBcMFAupCxgK1grvCwQK2gqpCsELIguAC5ULUgrYCmAKIwooCkAKMgn3Ca8JagkmCPwJDglOCWcJGwiTCD8IUwiSCKAIaAgZB+MHyQe3B58HfgdWBzIHIAcfBxgG+gbNBqYGjAZuBkMGFQXvBdEFtgWjBZwFmgWRBXwFYwVPBT8FLQUbBQkE8wTWBLEEhQRZBDkEKgQoBCQEFQQEBAYEIARHBGcEdAR0BGsEXgROBEMEQQRGBEcEPAQsBCMEIQQeBBYEEwQkBEoEbgR0BFoEOAQpBDAENQQlBAwEAQQOBCMENQRGBF8EeQSDBHwEegSIBJ8EswTABMwE0wTNBMMExQTVBOAE1AS4BKEEkQR/BGEEQwQvBCIEEgQBA/gD8wPmA80DtwOrA6MDjgNsA0kDLgMbAwwDBAL/AvEC1AKtAogCZwJIAiwCGAINAgQB9gHkAc8BugGjAYoBbgFSATcBHQEEAOsA0AC1AJgAewBdAEEAJwAM/+3/zP+u/5X/gv90/2f/V/9D/yv/EP71/t7+zf6//qz+kP5v/lH+Of4l/g398P3Q/bP9mf2B/Wf9S/0u/RH89PzX/Lv8ofyF/GP8O/wP++L7svuC+1b7L/sL+ub6v/qV+mf6NfoA+cr5k/lc+Sr4/vjX+Kv4dvg9+Af31/ep93v3T/cm9v720vaj9nT2RvYY9ez1v/WS9WT1NPUC9M70mvRl9DH0A/Pa87Xzj/Nl8znzEPLo8sHymvJz8kvyJPH/8drxs/GK8WPxQ/Eq8RLw9/DZ8LzwofCJ8HLwWfA/8CfwEvAA7+/v3+/S78fvvO+x76fvn++Y74/vh++E74Tvhu+I74nviO+H74nvle+q78Hv1e/m7/XwA/AR8CXwQvBj8IDwmPCy8NTw/PEi8UHxXvF88Z/xxfHu8hzyTvJ+8qjyz/L58ynzX/OU88bz9PQf9E30ffSw9OP1E/VD9Xf1rvXk9hf2TfaJ9sr3B/c792n3nffY+BT4S/h/+LT47fkl+Vz5kvnI+fv6Lfpg+pP6wvrs+xf7RPtv+5r7xfvv/BP8MPxL/Gn8g/yV/KP8svzE/Nn89/0g/Uf9Yv15/Zv9yf30/hP+L/5R/nT+k/6y/tn/BP8r/0v/Z/+C/5v/t//Y//gABv/5/9L/mf9Y/xn+5v7E/q/+pv6n/rL+0P8L/1j/mf+9/+cASQDwAakCNwKLAscDDANYA4YDdQMsAtkCpQKLAmcCKAHeAZgBWwEzATYBVwFXAP8AdwAaAA4AHwAP/9r/nP9d/xP+x/6K/l3+Mv4G/d79r/1i/PP8d/v9+3v63/oy+ZD5EPiz+Gr4Jvf09/r4U/jo+Xz53foA+ef5iPjo+C73mvdP9z73O/ci9uf2nfZo9mX2hfaY9mv19vVf9OP0nvR59D7z0fNI8sTyT/Hs8b/x+vKZ80bznPNz8u/ySfGr8S/w6/Dg8P/xJfEm8NjwKe817kDtgO0D7LXsf+xl7H3s2O1j7e7uQO5A7fztoe1c7UDtSe1l7Ybtp+3H7ePt+O4N7inuSe5j7nPufu6G7onuie6N7pnuq+687tHu6+8D7xDvFu8k70LvZu+H76bvy+/78DPwcfC18P7xS/Ga8eryPPKM8tnzKfN989D0GvRd9Kj1BPVi9az13vYR9lP2lvbA9tb27/cb90/3gPes99f4Avgq+FH4evih+Mr4/fk5+XP5pfnT+gb6Ovpq+pf6yPr8+y37XfuP+8H78vwn/GT8pPzd/Q79Q/2B/cD9/P40/m3+pf7e/xv/Wf+V/84ADABMAIoAwQD6AToBewG2Ae8CKwJmApwC0QMJA0MDeAOpA90EEQRDBHEEoQTSBP8FJwVNBXEFjAWfBbEFwwXUBeYF/QYaBjcGUgZxBpUGugbfBwYHKgdBB0wHWQd0B5UHsgfQB/MIDwgiCE8Ixgl/CjUKqArTCuEK8wsGCxALHgs9C2wLlQuqC7YLywvmC+4L3QvWDAQMZAy9DOUM7gz8DQ8NCgzrDNQM2QzmDN0MwAyiDIgMZww9DBUL8QvKC58LegtfC0sLPAs5C0MLTQtKCzsLLAshCxEK+griCs4KuwqgCncKSQoqCiQKLgowChoJ9AnSCbkJowmJCU0JPAkvCSQJGwkOCPQIywilCJoIsAjLCMkInAhWCBEH2we3B6gHswfVCAAIIwg5CEYIUAhXCFcIUghOCFEIXAhpCHEIcghwCG8IawheCEYIJQf6B8cHlgduB08HLAb/BtQGsgaWBncGUwYtBgQF1AWjBXYFTgUoBQUE7QTbBMMEowSGBHAEUQQYA8wDigNgA0ADHQL4AtwCwwKfAmoCMwIKAfIB5gHgAdwB1AHIAbsBtAGsAZ8BkQGGAX4BbAFQATkBMgEvARYA4gCqAIEAYwA7AAX/zf+p/6H/rf+6/7j/qP+Z/5v/rv/J/9//4//M/6T/f/9t/2X/Wf9D/yn/Bf7N/oz+Xv5Z/mj+a/5a/kP+Nv4x/in+Ef3s/cr9x/30/kH+jv7C/tn+1v7E/rv+yP7d/tn+sP57/kn+CP2f/SD8u/yG/HL8YfxN/Dz8Lfwc/A78BPvp+6P7MPqx+kz6CfnW+ab5dflH+Rn46Pi2+IT4TfgP98/3l/dk9yr25Paf9mr2P/YP9dT1l/Ve9SX07/TJ9Lf0pPRz9BzzqfMn8pzyGvG98YnxY/Ei8LfwKu+R7wjusO6f7sHu5+7q7svune5q7jDt+u3V7bTtb+zx7Fvr5Oul64PrUusC6qTqSen66bHpY+kK6KvoU+gL58/nj+dB5ubmiOYw5dzli+U65OrkneRP4/3jqONT4wDir+Jh4hThyOF64Svg3+CY4FLgCt/A33ffMd7s3qTeWN4J3b3dgN1S3TDdGN0R3RvdId0J3M3chdxK3B3b79u624jbattv25zb4twb3CXcBNvj2+3cKtyF3NvdDt0J3M3cdtww3BbcJ9xL3Gjcbtxh3EPcBduQ2vHaYNoW2hfaOtpf2oraytse23XbwdwB3Djccdy43RXdc9283ereEd5H3pjfAN923+zgW+DI4TvhtuI24rbjOuPC5EfkxOU35aXmFOaE5u3nPOdh517nO+cR5wfnQ+e96CToLufx5+XoZelU6k3rFOuz7Dzsouzm7STtdO3L7iTumu9J8Bzw1fFT8aHx2/IR8lXytvMt85vz6vQm9GP0oPTS9P71OPWF9dj2KfZ69tb3Ofeb9/v4XvjC+Rz5YfmU+cL6AfpY+sH7LvuU+/b8X/zS/Un9vv4y/q3/Of/bAIYBHQGCAa8BwwHnAiQCYwKPArMC7QNHA7IEHwSOBQQFewXpBk8GtAchB5gIFgiSCQkJgAn/CnsK2gsaC18L0wx6DTQN3w5pDscO8w76DwMPLg+HEAcQpRFWEggSpBMcE28TpxPZFBYUVBR6FIcUnRTaFTIVihXXFh4WYBadFukXTxe5GAYYPRhjGCkXDRURExESIBKDE4wUaBThFTAVgBW9FdQV1xXZFdcVzBW6FagVlRWGFX4VexVyFWQVVxVNFT8VLhUjFSQVKxU0FT0VQhVCFUsVbxWmFc4V2BXXFeEV7BXqFecV8xYBFfcV5BXwFhoWIRXOFTwUxRSjFMkU7BTIFE0TphL/ElgRkBC2EBwQAxBRELUQ+xESENAQEw8IDjEN8w5CDt4PmxBfEPoRRhFoEasSHBJ8EpsSiRJxEl0SShJBEkgSQhIUEdERoBGFEV8RIBDkEMUQtxCgEH0QWhA1EAYP0A+oD5UPhg9sD08PQQ9CDzoPGQ7lDqcOYQ4pDikObA6tDokN/A1tDTQNOA0mDO8MyQzHDMQMqgyaDJUMZAvvC40Lmwv8DEQMWAx/DMoM0gxJC4ALDgsWCzELDArPCtILLguqC/cL2gtRCqQKQQpcCrYK6ArQCo8KQAndCXIJLAkcCRUI5AigCIcIogi1CJIIVAgsCCIIFwf6B9oHvgecB3AHSwc7BzEHFwbuBscGqAaLBmgGQgYeBfwF3wXLBcMFvAWwBZwFhwV1BWQFVAVCBS4FFQT3BNUErwSIBGYESwQ1BCEEEwQQBBwEMwRNBGMEcQRyBGcEVwRJBEAEQARIBFMEWQRWBEkEOAQlBBcEGAQuBFMEbgRpBEcEJAQbBCkENAQkBAUD8QP5BBAEKwRGBGIEdwR7BHUEeASKBKQEugTPBOYE9gT0BOsE8AUIBRwFEwTuBMMEowSIBG4EWARNBEQEMgQZBAUD+wPuA9sDywPLA9IDywOtA4MDWgM3AxwDDwMOAwwC+wLbArcClAJzAlQCOwIqAh0CDwH/Ae0B2AHDAawBkgFzAVUBPAEnARIA+ADbAL0AngB8AFsAPgAkAAn/6v/K/63/lf+F/3r/bf9c/0T/Kf8P/vn+6f7Z/sX+qv6L/m/+V/5A/iX+B/3n/cn9rf2S/Xf9XP1B/Sj9Dvzz/Nn8wfym/IX8Xfwx/AX71/un+3n7T/sn+v761Pqr+n/6TvoY+eL5q/l0+UH5Ffjv+Mb4lPhd+Cj39ffD95H3Yfc29w325Pa59oz2XfYu9gD11vWs9YL1VPUj9O/0ufSE9FT0KvQF8+Lzu/OO81/zMvMK8uPyu/KS8mryQ/If8fvx1vGw8YzxbvFU8TzxIPEA8OHwxfCs8JPwefBd8EXwMvAi8BPwA+/07+fv2u/P78fvwO+4767vqe+n76fvpe+j76PvpO+l76nvs+/D79Xv5+/68A3wHfAt8ELwX/CA8JzwtPDM8OnxDPEx8VTxdPGU8bbx2/ID8jHyZfKY8sTy6fMO8zzzc/Oq89z0CvQ49GX0lPTH9P71NPVn9Zf1x/X29iP2U/aO9tD3DvdB9273oPfb+Bj4UPiD+Lb46/ki+Vr5kPnE+fb6KPpd+pD6vvrq+xr7Sfty+5b7ufve+//8Hfw5/FX8bPx9/I78pvzA/Nv8+f0d/UH9XP13/Z39y/32/hj+Of5a/nb+j/6u/tr/Cf8z/1n/f/+e/7L/w//eAAQAKAA+AEMANwAgAAL/2/+l/1//F/7Z/rH+qf7R/yP/dP+f/7cAAACfAWcCDQJvArEDAANaA5QDigNHAvkCwAKTAlkCDgHFAYABNgD4AO0BFQEuAPgAiwA5ACoANAAi//D/tP9z/yj+3/6m/nf+R/4a/fL9u/1c/N/8a/wK+5/7F/qF+hD5zvm1+aT5fvlD+SD5Qfmi+gf6PfpG+jD56vlX+Iv30vdw92f3hveX94T3WPcz9zL3Tvdc9zL2yPZE9dn1qPWk9Z/1bfUD9GvzuPMM8qbyw/Na9Ab0UfQS83ry2vJa8fzxvPGY8YXxYfEI8HXvxO8V7njt6O1k7Pzsvuyu7MntE+2H7gDuSO4+7fLtk+1N7THtN+1P7Wztie2l7cHt2e3w7gnuJO477kzuV+5g7mXuaO5v7n3uke6l7rvu1e7u7wHvEe8j7zrvU+9s74jvqe/R8ALwOvB78MLxD/Fg8bLyA/JR8p7y8PNL86fz+PQ99In06vVP9Z710vYE9kb2iva19sz25vcU9073hfe59+z4GvhC+Gr4kvi5+N75Cvk/+Xf5qfnZ+g36RPp1+qX61/sL+z77cPuk+9f8B/w7/Hj8tvzr/Rj9Sv2G/cX+AP44/nD+pf7b/xX/U/+O/8X//wA8AHYArADkASUBZgGeAdQCEAJNAoUCtQLpAyADVgOIA7kD7QQgBFEEggSyBOEFDQU4BV8FfgWXBa8FyAXcBewF/gYRBiMGNwZSBnIGkQavBtUG/AcWByIHNAdVB3gHlAezB94IBAgcCEYItAlnCh8KmQrKCtsK7AsACxILJgtBC2QLiQusC8wL6gv+C/4L9QwGDEwMtQ0JDSsNMw1DDVINQA0ODOQM2AzYDMcMqQyODHkMXAw3DBML8AvHC5gLbgtSC0ALNws+C1ILZQtpC10LSgs0CxkK+wrfCsYKqwqICl4KNwofCh8KJwokCgkJ4Am6CZwJgQllCTYJJgkXCQoI/gjwCNIIqQiKCJIIuQjbCNYIpwhmCCgH8QfCB6oHuAfoCB4IRAhZCGgIdwh/CHkIawhgCF4IZghvCHQIdAh2CHwIfgh0CFwIOQgKB9YHpQd/B10HNQcHBt4GwganBoMGWQYwBgUF1AWiBXkFVAUqBPwE2QTFBLIElQR3BF0EOwQCA70DgwNeAz0DEALeArYCmQJ4AkwCGwHzAdoByQG6AaoBmwGNAYQBewFxAWMBUwFGATkBJQEPAQEA/QDyAM0AkgBaADYAHP/z/7b/eP9R/0j/U/9f/1//VP9N/1r/ef+d/7X/t/+h/37/Xv9K/zv/I/8E/uj+zv6p/nr+Vf5M/lL+Uv5I/kH+RP5G/jj+GP3w/dP90f3u/iH+Wf6N/q/+s/6S/mT+S/5N/k7+Ov4X/fH9vv1t/Qj8rvx0/FD8NPwc/Av7/fvu++X74fvM+4j7E/qQ+if54Pmo+Wv5LPjz+MH4kPhc+Cv3+/fH9433VPcZ9tb2ivZC9gn12PWi9Wn1QfUu9SD1BvTl9Mb0nfRX8+zzY/LD8hXxd/EI8M7wpPBc7+bvTe6x7jPt9O397jLuae6I7ozuce437fPtyO227YrtFOxp697rqeus65/rWurz6o3qNOnh6Y/pPujs6JToO+fq56fnZ+cc5sPmZuYO5bzla+UX5MXkeOQr49fjfuMo4tjiieI44erhn+FV4QngveB04C3f4d+U30rfBd7B3nneK93c3ZPdV90q3Qrc89zr3O/c7tzR3JrcYNw03Anb0tuR21rbOtsy20jbftu929nbvtuM233bstwc3Ibcudyh3FLb+tvE28Lb6twi3E7cXtxT3Dfb/NuG2tnaMdnT2c3Z9Noh2lHaltru20TbjtvN3AjcR9yT3O/dT92b3c3d9t4u3oLe8N9s3+bgV+DE4TnhteIy4rDjNePD5FDk0OVF5bTmIOaL5u3nOedd51LnKOcC5wznXOfR6B3oCufJ59nogemN6oXrM+u07Czsl+zr7TrtlO3z7lLuze988Erw//F98dDyDvJG8o7y9fNx89j0F/RG9IL0yPUC9TL1b/W89gr2Ufaf9v33X/e8+Br4hPj1+Vf5nvnT+gb6RvqY+vr7YvvK/DD8m/0N/YP99/5p/uD/Yf/uAIABCAFyAbcB6QIcAlsCmQLQAwcDTwOpBA0EcwTdBU0FvAYpBpQHAQdzB+oIZAjcCVUJ3gp1CvoLRQtlC58MLAz5DcUOZw7hDzkPYw9kD2APhA/fEGoRFRHREoQTExN1E7MT5BQeFGcUqBTHFNEU8BU9FZ8V+BZLFqUW9BcmF1sXuxg0GI8YxBj1GO4YEBYRE7ESOxJRE2EUbRUCFVQVpRXwFhUWGBYUFhAWBhX1FeIV0hXHFb8VtBWmFZYViBV9FXEVaBVjFV8VWhVdFW8VgRWHFYwVqhXfFggWExYQFhcWHhYdFh4WLBYwFhkWBhYpFmcWXRXNFPYUVxQ5FHgUtxSsFEMTkxK8EbsQhw9EDlUOBg5CDrYPHg9kD3MPOw7mDtgPSxATENwRfxH+EkwSXhJWEnISuhL2EvISvxKGEl8SRxI8EjoSLBICEcwRoxGHEVsRHRDoENEQxhCwEIsQZxBHEB8P8A/KD7YPpw+ND20PXQ9bD1EPNQ8PDuIOoA5XDkcOoA8cDysOnA3cDXMNZQ1VDRwM6wzjDOAMxAysDKgMiQwyC+UL9QxIDIEMjAy1DQkNHQyXC8ELOAswC08LPAsCCuQLCgtiC7MLtQtKCrEKaQquCzYLhwt4CzcK6QqACfEJaAkNCOEI0gjqCSUJTgkmCLgIXAhMCGgIawhFCBcH9gfVB6cHfgdpB14HRgccBuwGxAajBoYGaAZIBiYGCQX1BecF2gXJBbcFpwWYBYoFewVmBUcFIQT8BN8ExgSrBI8EbgRKBCoEGwQhBDEEPwRNBF8EcARzBGQETgQ/BDoEPQRHBFgEawR0BGsEUgQ0BB8EHgQwBEgEVgRLBC4EFQQSBB8EKAQcBAQD9QP9BBYENgRVBGsEdARvBGkEbwSBBJcErwTPBPEFBgUFBP8FCwUwBVEFTwUkBOoEuwSdBIgEeARvBGkEWAQ8BCAEEAQDA/ID4QPeA+UD4gPIA58DdANPAzEDIAMdAx8DGAMAAt4CuwKYAnkCXwJKAjgCJwIVAgEB7QHaAckBsgGTAXMBWwFLATsBIgEDAOMAwQCeAHoAWwBAACUABv/l/8b/rv+d/5L/h/93/2D/SP8x/x7/Df76/uT+yv6v/pX+ev5d/j7+Hv4A/eP9xf2n/Yr9cP1Y/UH9KP0O/PT83PzC/KH8efxP/CP79/vI+5v7b/tE+xj67PrC+pX6Y/ou+fj5w/mN+Vr5LfkF+Nr4q/h5+Ej4F/fi96z3efdL9yL2+vbS9qf2efZK9hz17/XD9Zj1bfU+9Qr00/Sg9HX0UvQx9A/z5vO484fzWfMw8wjy3/K28o7yaPJF8iHx/PHY8bbxmfGA8WfxTPEu8Q7w7/DT8LjwnPCA8GjwVvBH8DjwKfAa8Arv++/v7+fv4O/X787vyu/L78rvxe++773vwu/H787v1+/i7+/v//AT8CfwOfBL8GLwgPCe8Lnw0PDn8QDxHvFD8WrxjvGv8c/x9PIe8kvyfvKy8uDzB/Mu81zzj/PB8+/0IPRS9IH0rvTf9Rn1VPWJ9bf15PYQ9jn2Y/aW9tP3EfdH93f3qvfi+Bz4U/iH+Ln46/kf+Vb5jfnC+fP6JvpY+on6tfrl+xj7SPtu+4z7qPvI++f8BPwi/D78VPxn/H38nPy9/Nz8+v0a/Tz9W/1+/ab9z/3z/hP+N/5d/nz+l/64/uD/B/8p/1D/gP+s/8f/2P/rAAQAHQA3AFMAbwCGAJMAkgB2AD3/8f+i/1P/D/70/xL/Uf+B/5//4wB2ATwB7AJgAq0C/QNSA4sDjANeAyIC6AKmAlAB8wGnAWoBJwDiAMAAzwDgAMEAewBDAC8AJAAI/+H/tv9+/zf+8v68/or+Uv4e/fL9s/1L/M/8afwf+9D7bvsO+tD6xvrz+0H7d/tf+wb6t/qi+qr6nPp2+lD6F/mf+Ob4NPfT98z39fgf+DH4LPga+Av3//fe9473FPaQ9i72BvYP9ij2IfXe9Vv0r/QC847zg/Pe9Fb0j/Rl8/3zjvMu8tDybPIM8bTxTfDE8Cvvqu9P7vbude3U7UztCO0H7S/tde3V7jXuZe5H7e/tje1K7TDtNu1L7WDtdu2S7bTt1e3u7gLuFe4m7jPuOu4/7kXuTO5W7mTudu6N7qfuwO7Z7vHvDO8m7z7vVO9s74rvre/T7/3wK/Bd8JXw1PEa8WTxrvH48kTyl/L381vzt/QH9Fz0wfUr9X71tfXp9i72d/as9sv27fce91j3kPfH9/34K/hR+Hj4pfjS+Pn5IPlN+X75rfnd+hL6Sfp9+rD65fsc+1D7g/u3++v8G/xP/Ir8xfz1/R/9T/2I/cT9/f41/m3+ov7V/wz/Sf+E/7r/8gAtAGUAmQDQAQ8BTQGCAbQB8AIwAmkCmQLJAv8DNgNoA5kDzAP+BC8EYASRBMEE8AUeBUcFaQWIBacFwwXWBeYF9QYFBhQGJAY6BlQGagaABqEGyAbnBvoHEwc3B1kHdAeWB8QH6wgBCCcIkwlFCf4Kfwq+CtoK7gsCCxYLKQs7C1ALcQuhC9gMBQweDCQMKgxNDKINEA1kDX8Neg10DW0NSw0SDOEMywzCDK0MkAx4DGYMTwwyDBUL9QvLC5kLbAtLCzcLMgtBC14Ldwt+C3QLXgtACx0K+wreCsIKoQp3CkwKKgoYChcKGAoLCewJxAmgCYIJZglLCSoJGwkJCPYI5AjOCK8IjQiBCJwIzAjrCN8ItQiECFkIKgf4B9kH4ggPCEQIZwh7CIsImwiiCJ0IkgiICIQIhAiGCIcIhQiGCIgIhwh6CF8IOAgKB9gHqweHB2YHPwcVBvMG1ga0BoUGVgYxBg4F4QWvBYMFXQUvBPsE0QS4BKQEhwRmBEUEHwPoA6gDcgNJAyEC7gK5ApACdAJXAi4CAAHWAbkBpAGRAXwBaAFaAVIBTAFCATIBIAEOAP4A7QDdAM8AwgCqAH8ARgAV//f/4f+9/4n/Uf8n/xH/Cv8L/wz/CP8J/xn/Of9c/3P/ev9x/1v/P/8l/wv+6v7H/qf+jv5z/lP+O/4x/i7+Kv4p/jv+Wv5r/lv+Lv36/df90v3v/iL+Xf6S/rP+r/5+/i/96P3E/b79wv3B/bT9kP1L/PT8ofxi/DL8C/vt+9n7yvu8+7P7sPuf+2X6/PqC+hn5y/mF+Tj46fir+H34Uvgk9/X3xveS91X3Fvbc9qP2ZfYo9fD1tvVz9Tb1G/Up9T/1PPUX9Nn0gvQO84Dy4PIy8Xnw0PBV8Arvzu987w/ul+4n7dTtru2z7cvt5e397g/uA+3N7Y3tcO1t7Tnsqev465brouvQ68DrXuri6nnqIunL6XDpGujK6HXoGufE53znPOb15p7mQuXq5ZnlSOTz5J/kUeQD46/jVeL/4rHiZOIT4cTheeEw4OXgmOBO4APfs99i3xre2t6Z3lDd/92v3WndL90D3OLczNzC3MLcu9yc3GvcP9wf2/jbu9ty2zjbFdsA2v3bHtte25TbntuI24PbsNv/3D7cRNwP277bedta22jbmdvb3BHcKNwm3Bfb7tuF2tLaD9mT2YLZs9nx2izactrG2xjbYdum2+zcNNyD3NzdN92D3bfd394T3mTe1t9a397gVeDF4Trhs+Ir4qbjMePI5Fzk3uVU5cXmMOaR5urnNOdb51DnJOcE5x7neefm6Bbn6Oec57TodOmZ6p/rSOu57Cnsnu0F7WDtve4c7n/u/O+r8HLxIfGh8f/yS/KM8tTzN/Or9Ar0Q/Rw9LD0+/U59Wz1qvX29j/2gPbN9y/3lffz+FD4uvkp+Yf5zPoF+kH6hPrR+yr7j/v5/GX81f1I/b3+L/6g/xP/h//8AHMA7QFgAcICEAJSApIC0gMVA18DsAQGBGAEwQUrBZoGBwZwBtwHSwe5CCUIlQkMCZQKMwraC14LnAuxC+4MiQ1dDh4Opg8JD1wPkw+nD7MP4hBHENsRiRI9Et8TXhO5E/0UORR7FMQVABUaFR4VOBV+FdsWOBafFxIXaxeQF6oX/Rh7GNsZDBlIGXsY8xciFI4SnRJEEzEUXBUbFYAV1RYlFlUWXhZZFlEWRBYvFhwWEBYIFfoV5xXUFcgVvxW0FaoVqBWpFaIVkhWOFaIVuBW+FcQV6RYnFlUWXRZXFlwWZRZmFmgWcBZnFkUWOxZ2Fr0WkBW7FKYT7hPMFAMUOBQ4E+wTSRJUESIP0g6YDb4NdQ2rDhgOhg7qD0YPlg/qEG8RMRH+EpYS6RMVEysTKBMdEygTShNbEzwS+xK8EosSXxI1EhUR/xHpEc4RsBGLEVgRIBD3EOcQ3hDHEJ8QdxBXEDwQHhAAD+cPzw+xD5IPgw99D2wPTA8vDxkO5w6UDm4Owg9WD4QO+A4fDaENmA2cDW0NOQ0sDSkNBAzYDM8MzwyvDIMMgwyjDKgMjgyaDNcM6Ax4C78LQAszC1kLYAs3CwEK4QrsCxMLHwrmCpAKfwreC2ELngt/Cz0K+wqkCiQJlAkcCNcI2AkuCawJ6gmgCP0IgAhtCJIImwh3CEkIJwgDB9cHtAelB5oHfwdPBxgG5Qa8Bp8GiQZuBk4GMAYZBgYF8gXgBdMFyAW3BaUFlAV8BVUFJgT/BOkE2wTKBLEEkARnBEIEMQQ2BEEERARGBFQEaARuBF8ERwQ5BDYEOwRFBFYEawR6BHgEYwRFBC4EJgQrBDIEMgQsBCIEGgQWBBUEEgQNBAsEFQQuBFMEeQSUBJoEjAR5BHIEeQSFBJMEqgTMBO0E+gT0BPEFCQU7BWgFbgVGBQ0E5ATTBMcEswScBIoEewRnBE8EPAQtBBgEAQPyA+oD3QPAA5wDgANsA1cDQQMxAyoDIgMPAvQC1AK1ApgCfgJoAlMCPwIrAhYCAwHyAeQB0AGyAZIBegFsAVwBQwEkAQQA5gDGAKUAhQBmAEUAIgAC/+f/z/+8/67/ov+S/33/Z/9U/0P/MP8b/wP+6/7T/rn+nv5+/l3+Pf4g/gP95f3G/an9j/13/V79RP0o/Q388vzX/Lf8kfxo/D38EPvk+7j7jfth+zX7CPrb+qv6d/pC+g352fmn+Xb5Sfkc+O34vfiQ+Gf4O/gJ99P3nvdt90H3GPbv9sX2mfZs9j32DPXa9av1gPVT9SD06vS79JX0d/Ra9Dn0EPPi87LzhfNc8zPzCfLe8rbykfJt8kjyI/IB8eHxxfGs8ZTxevFc8TzxHPD+8OHwxfCr8JTwgPBw8GHwU/BD8DLwIfAT8ArwAe/17+zv6+/t7+zv5O/b79nv3+/p7/Lv+/AE8A/wHvAx8EXwV/Br8ITwofC98Nfw7/EH8SDxPfFi8Yvxr/HN8evyEPI68mfylvLI8vfzI/NP833zq/PT8/z0LPRh9JL0vPTo9R/1WvWQ9cH18vYk9lD2efam9tz3GfdT94j3uvft+CL4V/iM+L/48fkj+Vj5jfnC+fT6JvpW+oL6rfra+wr7N/ta+3b7kvuy+9H77vwL/Cn8Q/xb/HX8lfy4/Nn8+f0a/Tv9Xf2D/av9z/3t/gv+MP5Z/n3+n/7E/ur/Cf8i/0T/cv+g/8T/4///ABYAJgA4AFYAeQCYALIAxwDSAMsAtACQAFL/9f+X/2L/X/91/53/8gCOAVQCBgJ/AssDCQNHA3YDhgN1A1ADHgLWAnMCCAGzAXkBRAEKANkAwQCvAIsAXgA4ABr/8//I/6j/kP9n/yv+8f7D/pL+Vv4e/fD9r/1L/N38jPxY/Cr7+/vT+7j7wfwn/P794P4x/bf83vws+7/7Yfr4+pn6Q/nP+Tb4rPhr+HL4m/jI+Ov4+fjr+Mf4lfhJ99H3Ofat9lT2OfZG9lv2U/YX9av1JfSk9EH0EPQY9EP0ZfRh9Dn0APO2807yx/I38a7xJfCX8Bjvx++a71fu0O4g7ZPtXe1x7aft6O4y7nTuiO5b7gLtpe1k7UjtSe1W7Wbtee2X7b/t5u4B7g/uG+4p7jPuNu437jzuRe5O7lfuZO567pfusu7K7uXvBe8n70TvXu9675vvwe/o8BHwOvBi8IvwuvDy8S7xbfGv8fbyRfKg8wTzaPPH9Cf0kvT79Uz1g/W49gD2UfaS9r726vcf91f3jffD9/r4JvhJ+G/4oPjU+QD5J/lR+X35qfnW+gj6Pvpz+qn65Psg+1f7ifu8++78H/xS/Iz8xvz2/SD9T/2G/bz98P4m/mD+lv7I/v3/OP9z/6j/3gAYAFEAhQC7APcBMwFmAZgB0gIRAkoCegKqAt8DFQNHA3gDqQPZBAgEOARpBJkEyQT2BSAFRwVsBZAFrQXCBdUF6gX/Bg8GHAYtBj4GTAZbBncGnQa9BtcG9QcbBz8HXQeEB7AHzAfUB/UIYwkVCdAKWgqrCtcK8QsBCxILJQszC0ALXAuTC9kMGQxDDFcMZQyHDNYNRA2gDcENrg2MDWgNOQz9DMsMsgylDJMMewxoDFgMRgwyDB0MAAvVC6ALbwtJCzALKQs5C1YLcAt8C3gLaAtKCyIK+graCroKlApnCjwKHAoLCgYKAgnyCdMJrgmNCXAJVAk8CSUJFQj/COYIzAiyCJgIiQiXCMII8QkBCOoIxAimCJEIdQhNCC4IMQhTCHsIlQihCKoIswi4CL0IwQjDCLwIsAioCKcIqQipCKYImgiECGEINQgHB9cHqweGB2cHSQcrBxAG8gbHBpIGYwZGBi0GBAXMBZUFZAUxBPwEzwSwBJMEbwRHBCMD/APJA48DWAMnAvMCvAKKAmUCSQIrAgQB1QGoAYYBcAFhAU8BPQEtASMBHAETAQUA8gDeAMsAuwCqAJYAfQBeADkAEP/t/9T/v/+k/4D/Wf8w/wb+4/7P/sj+xf7E/sv+4f79/xj/Lf86/zb/H/76/tX+sf6P/nH+VP42/hj+A/39/f/+A/4T/j7+e/6j/pn+YP4V/dr9yv3v/jn+hf60/r7+p/5x/iD9xP17/Vf9WP1p/XH9Xf0k/NX8g/xB/A776PvK+7P7n/uM+337cvtb+yX6yPpb+fj5pPlS+Pj4o/ho+Ef4LPgL9+T3tPdy9yH21fai9oL2ZPY/9hP12/WU9U71LfU49U71SPUX9L70Q/Oq8wPyWfGt8PnwT+/K727vIe7M7nLuIe3h7bftou2Y7YXtae1Y7V/tYe1E7RrtCe0E7MrsR+vD65/r1+wG69frWOrR6mrqFem56Vfo/eip6FLn9uef51XnE+bM5njmHeXG5XflJ+TT5H3kLOPf443jM+Lb4oriPeHv4aDhVeEJ4LvgbOAf39Lff98u3ujerd5v3iTd0d2A3TzdBdza3Ljcn9yQ3Izcg9xo3EDcHdwE29/bodta2yPa/drZ2r7ax9sA20zbhNum28fb7twE2/PbvNt520HbHtsQ2xjbPdt427Lb09ve2+Dbztt62s/aAdlx2VLZh9nS2hTaV9qh2u3bOduH29jcKNx33MrdIN1s3aTdzt383kXes989383gT+DE4TjhreIi4p/jL+PO5GXk5+Vf5dbmQuac5uvnNOdh513nNOcb5z/nnuf+6Bbnzudt53XoM+lq6o3rS+vE7Drsuu0t7Yrt4O477qLvJ+/W8JfxQPHA8inyhfLR8xfzbfPV9DH0bvSi9OX1MfVv9aH13/Yq9nL2tfcE92n30/gy+JH4+fli+bn5/Po4+nj6vPsE+1j7ufwk/Jb9Df2G/fr+Zf7N/zb/nwAFAGsA2wFVAc0CNQKJAtADFQNgA7EEBARWBKkFCQV3BeoGVga9ByYHkQf1CFMIugk5CdQKfgseC5QL0gv5DEkM4g2gDkMOsw8JD1oPng/MD/UQOxCtEUYR8hKYEyUTlxP6FFYUpBTiFRgVQRVSFU4VVhWFFdsWThbYF2UXwRfXF+AYJxiiGQEZNBmGGfUZzBhHFasTTxJqEwQUMxUlFa8WChZXFosWnhaeFpUWgxZqFlQWSRZBFjAWFxYDFf4V+xXxFeUV5BXoFd8VyxXFFdYV5hXoFfgWMxaCFqsWpBaUFpkWoxafFpwWoRaTFnEWcxa+Fv8WphWYFGcTuROkE8wT5RPeE6cTFhIhEP0P+A88DtkOzQ8ED1QPow/5EGcQ7BF9EhwSxxNdE7gT0xPQE8sTwxO2E6oToxOSE2kTMBL4EsMShxJCEgYR5BHWEccRqBF7EUsRJBELEQAQ9xDiELkQhxBgEEkQPBAsEBYP+w/dD8IPsw+nD4wPYw9IDz8PHg7ODpMOxw9MD4MPCg5BDc4N0w3lDbwNhQ11DW4NPg0BDPkNIg1ADTQNFgzzDLoMegxiDH0Mggw1C7ILVAtEC2ELcwtfCyYK3gqrCqAKogqOCnMKhQrRCxoLIQruCrUKhwpOCfcJjgkmCNcIzgkuCcUKGQnaCTwIugiVCKEInwiGCG0IVQgyCAgH6wfdB84HrgeBB00HFwbmBsUGsAaYBnUGUwY4BiEGCwX+BfgF7gXVBbUFmwWBBVwFMAUOBP4E8wTiBMkEqwSIBGcEUwRRBFEESQRCBEkEWARfBFUEQgQ0BDAEMwQ6BEcEVwRmBGsEYQRMBDkELgQnBB0EFQQYBCQELQQkBA8D/gQABBgEPwRxBKcE1wTtBOAEuwSbBJIEmQSiBKoEvATYBOsE5wTZBNwE/gU2BWcFbwVMBRoFBQURBR4FCwTeBLcEpQSZBIUEagRQBDYEHQQJA/kD4QO+A58DlgObA5YDfANZAz4DLAMcAwkC8gLXArsCngKFAm4CWgJHAjQCIQIPAf8B6wHQAbIBmwGLAXoBYAFCAScBDgDzANYAtgCTAGsARQAmAA3/9f/e/8z/vf+u/5v/hv90/2L/T/84/yL/C/7z/tv+wP6j/oT+Zf5I/in+Cf3q/c39sv2X/Xv9X/1B/SP9Bfzp/Mv8qPx//FT8J/v8+9H7p/t9+1L7Jfr1+sD6ifpU+iH58PnC+Zb5avk7+Qb40/in+IH4W/gv9/73yveW92X3N/cM9uH2tvaL9l72LPX39cT1lvVp9Tj1BfTZ9Lb0mfR89Fv0NvQL897zs/OK82DzNPMJ8uHyu/KU8m/yS/Iq8gzx8PHW8b7xpPGG8WfxR/Ep8Qvw8PDX8MHwrvCc8IzwffBu8F3wS/A88DHwJfAY8A3wC/AO8AzwBO/77/rwAPAJ8BLwGvAj8C7wPfBQ8GTwePCN8KfwwvDc8PTxD/Es8UfxZfGJ8bHx1PHv8gvyL/JY8oHyq/LY8wjzOPNo85fzwPPi9Ab0NfRs9J70xPTp9Rb1S/WA9bT17vYq9l/2jfa49ur3I/dd95X3yPf3+Cf4WviP+MT49vko+Vn5i/m++fD6IfpP+nv6o/rM+vX7G/s7+1n7efuc+7373Pv6/Br8OvxY/HX8kvyx/NP89/0c/T/9YP2D/aj9zP3s/g3+Mv5X/nr+nv7G/uz/C/8m/0b/bP+Q/7D/1gAAACIANwBLAGgAhACVAKAAtQDSAPABDQEiARwA4QB5AAz/vv+f/7kAHwDQAaMCXALSAw0DKgNIA2wDiQONA3gDTQMNArUCTQHyAbEBgQFQARwA5QCrAHAAQAAb/+7/sP91/1b/SP8v/wb+4P7A/pP+Vv4f/fD9sv1a/QL8xvyj/JP8mPyf/In8fv0A/lwAAQDdAGn/KP34/Sn8e/u6+wL6cPn1+YT5OPkq+UT5Yvl6+Y/5k/l1+UH5Bfi1+DP3jvcE9sb2zvbq9uv2t/ZR9dL1V/Tx9J30VvQp9CL0N/RI9D70EPO/80jys/IU8Xvw7vBw8A/v1e+s72Lu3e5E7dvtyO317jXucO6h7r/utu6A7i/t3u2g7Xztce127YHtlO2x7dnt/+4Y7iXuMe4+7kbuRu5D7kbuTu5U7lfuXe5u7onupe6/7tru+u8f70HvYe+C76Tvx+/u8BvwSvB28J7wyfD78S/xZPGc8dryHvJr8sXzKvOR8/n0Y/TG9RH1RPV29bz2DfZV9o32xPcC9z73d/ey9+v4Gvg8+GL4lfjL+Pj5H/lK+Xj5o/nO+f76Mfpk+pr62PsY+1H7g/u0++X8FfxG/H/8u/zw/R/9Uv2J/bz96/4f/lv+lP7G/vn/Mv9q/53/0AAIAEAAdACpAOMBHgFUAYcBvgH4Ai0CXgKQAsMC9gMnA1cDhwO1A+IEEQRCBHIEnwTLBPUFHwVIBXEFlAWvBcoF5wYABg8GFgYfBisGNQZCBloGeQaXBrIG1Ab8ByMHSQd0B5sHqQenB8oIPgjyCakKOAqcCtsK+gsDCw0LIAs0C0MLXQuRC9gMIQxdDIEMjgycDNINNQ2aDcoNug2JDVQNHQzhDK0MkAyDDHoMbgxiDFYMRww5DCgMCgvcC6YLcgtHCykLHAslCzsLUAtfC2gLZAtKCx8K8grLCqcKgApVCi0KDQn6CfIJ7QngCcUJogmBCWQJSwk2CSAJCwjwCNEItQifCJUIogjKCP8JJAkiCQEI3QjKCMQItwidCIcIiAigCLoIxgjDCLwItwi7CMwI5gj4CPQI4AjTCNYI4QjjCNYIvgidCHQIRQgTB9wHqAd+B2EHTgc/By0HEwbpBrUGiQZtBlMGJgXlBZ8FYQUrBPkEzgSoBH0ESwQaA/IDzgOlA3QDPwMGAsgCjAJZAjACDQHpAcABkwFmAUMBLgEiARcBBgDzAOIA1QDOAMcAuQClAJEAgQBxAFoAOwAdAAT/7v/Z/8L/qf+Q/3v/Z/9G/xL+2P6u/pr+jv5//nb+fP6R/q/+0v7z/wD+7f7E/pf+c/5Y/kD+JP3+/dP9t/23/cz95v4J/kX+k/7P/tP+lv40/dn9sv3Z/jn+lv64/p7+bf5B/g/9xf1r/SH8+/z6/Qf9Cfzt/LD8Yfwa++j7yvuy+5b7ePtd+0n7NfsT+tf6f/oa+br5YvkH+Kj4Vvgj+Az3/Pfo98v3m/dM9uT2ivZd9lX2UPZA9if2AvXH9X71RPUp9Rn0+PS59F7z4/NJ8qLyAPFa8Kjv9e9j7v3ur+5k7hzt3+2w7ZLtg+107UjtAezG7Lzs1Ozl7OLs1+y+7H3sHeve6/DsKuww69brR+rF6mLqCemp6Ufo7OiT6Dbn1+eA5zPm7Oah5k/l9+Wi5VTlB+S15GDkDuPA427jFeK64mXiFeHI4XzhMODh4I7gPN/v36DfTd793rfefN4+3fPdod1S3Q/c2tyw3IzcbdxW3EvcQ9wx3BTb99ve27nbgNtC2xDa59q32oragNqp2vTbRtuW29zb/tvh24/bOtsO2wnbDNsA2vDa99sg21fbgduW26DblttT2r7aAdlz2UnZdNm82f7aPNp+2sbbFNto27/cEtxf3K3dAN1P3ZDdwd3u3izekN8b37TgP+C64S/hpuIe4p7jMuPU5Gvk7uVr5enmWOas5vTnPOdu527nSuc752rnx+gV6BbnuudD5y/n2OkV6lrrQOvT7FXs4O1X7a/t++5W7sjvWfAL8MXxZ/Hm8lPyt/MH80jzk/P19FX0nPTX9Rv1Y/Wf9dH2D/Zb9qb27Pc+96L4Cvhr+Mz5NPma+e/6M/py+rP69fs7+4z76vxT/Mj9Rv3F/jb+lv7w/1D/tQAXAHgA4wFfAeQCYALHAxkDYAOoA/cESgScBPEFUgXCBjYGowcKB3UH4QhBCJYI+wmHCjEK1gtaC7YL+gxDDKkNMg3IDkwOsw8HD1QPnQ/jEC8QjhEKEaASRxLnE2wT3BRGFK4U/BUnFUEVWxVrFWIVUhVpFcQWWRcIF54X8RgFGBgYaRjfGTcZbRnSGmwajBlXFtMUKRK0EtwT+BUbFdYWPBaBFrUW0xbbFtQWwhapFpEWgxZ6FmkWThY6FjUWNBYoFhkWFRYZFhEWAhYDFhMWHRYeFjwWihbYFukWxBapFrAWuRawFqsWtxa0FpkWoRbuFx4WnxV0FFET3RQGFEkUWhRGFAwTfBKREZ8RCRDhEPkRIxFREXkRmhHGEhISeRLmE1ITwxQxFHoUixR3FF0URRQiE/QTyxOrE4gTVhMcEucSsxJ4EjYR/RHWEbQRihFfEUERLxEeEQsQ/RDuEM8QnBBsEFQQTBBEEDMQHhAID/AP2w/ID6sPhQ9sD2UPSw8BDrgOyA8pD1wPBw5tDhYOHw4oDfgNug2kDZYNXA0WDRMNXw2tDbgNfw0kDMAMawxCDEgMUgwzC+8LrguNC4cLiAt3C0cK/Qq4CpMKiAqECogKoQq9CrYKgAo/ChcKAAnhCbAJdQkvCOgI0QkZCZ0J9AnXCW0JDQjcCL4InwiLCIkIfwheCDQIGQgHB+0HyweqB4cHVgcgBvkG4wbIBqEGdwZYBkEGLwYnBiUGFwXwBcEFnwWKBW8FTAUtBRkFBgTtBNMEvASlBIwEeARtBGYEXARSBE8EUgRTBEsEPQQtBCEEHQQiBCwEOARFBFAEUARFBDkEMAQlBBIEBAQMBCcEOwQzBBgEBAQMBC0EWwSUBNIFCAUeBQgE2ASyBKoEtQTABMsE4AT2BPsE6gTZBOEFCAU+BWoFcQVLBRUFBQUpBVgFWAUnBPIE1gTJBK8EhgRcBDwEJgQcBBQD/gPaA70DvgPUA9wDxAOXA20DUAM9Ay0DGwMEAucCxwKpAo8CewJqAloCRgIxAhwCBwHvAdYBwQGwAZsBggFnAU4BNwEdAQEA4gC+AJYAcQBTADoAHwAC/+z/3P/N/7r/pv+T/4H/a/9V/z//Kv8S/vr+4v7J/q7+kf5y/lD+Lv4O/fD90/22/Zf9ef1a/Tr9G/z9/OD8v/yX/Gz8QPwV++z7w/uZ+277QPsM+tT6m/pm+jb6Cfnf+br5k/lk+Sz48/jC+Jr4c/hL+CD38Pe794T3Ufci9vb2zfal9n32T/Yc9en1ufWJ9Vj1KPT+9Nv0u/Sa9Hj0VfQu9ATz2/Oz84nzX/M18w3y5fK98pbydPJV8jXyGPH98eTxyPGp8YvxbfFQ8TPxGPEB8Ozw2fDH8LfwqPCZ8Ijwd/Bn8FnwTPA/8DTwL/Au8CzwJvAh8CHwJvAs8DHwN/A/8ErwWvBu8ITwm/Cx8Mrw4/D58RHxLvFO8W3xi/Gt8dPx9fIR8i7yUfJ28pryv/Lq8xrzSvN586jz1PP69CH0UfSI9Lv03/T+9R/1SPV29az16fYq9mX2lvbB9u/3Ivda95P3x/f3+Cf4WviP+MP49fkk+VL5gPmv+eD6EPo/+mz6lvq++uP7Bvsl+0T7ZfuI+6v7zfvu/BD8M/xV/HL8jfyp/Mz89P0d/UP9Y/2D/ab9y/3x/hf+O/5c/nr+nP7B/uX/Bf8n/03/cP+L/6P/xP/uABMALwBOAHAAigCTAJYApwDHAOsBEgE/AWYBaAEzANIAYwAO//0AUAEDAeUCsQMyA2MDZANlA4EDpwO3A6IDcwM3Au0ClQI/AfsBxwGWAV4BFgDAAGoAJf/y/7f/bv8t/w7/CP8A/vD+4P7K/pz+Xf4k/fb9u/1z/Tf9EPz2/PH9Ev0z/Rb85P1W/uYA9wI2Ae4Aqv9i/mv9dfxU+0T6ifoe+eX52fny+hD6FfoN+gr5/PnP+ZX5Zvkt+MH4Kve296H31vgD9+f3dvbM9hX1ePUC9Kj0YPQx9C70SPRY9Dbz3vNg8svyKPGC8OnwafAI78nvo+977zTuy+5l7jHuQe6B7svvBu8l7yHu+O607mjuIe3p7cHtre2o7a3tu+3U7ffuGu417kbuUu5b7l7uWu5U7lHuVO5b7l7uYe5r7n/ume607tDu8O8S7zXvWe9+76DvwO/k8BTwS/B/8LDw4/Eb8VHxgvG08eryIvJg8qvzBvNq8870MfSM9NP1BfU19Xb1wvYJ9kn2jPbW9yH3aPev9/L4J/hQ+Hv4r/jg+Qb5K/lY+Yv5ufnl+hT6RPpy+qL62/sY+1D7gvuz++T8EvxC/Hn8t/zx/Sf9YP2b/dD9//4z/m/+qv7e/xD/Rf95/6n/2QANAEMAdgCqAOEBGgFRAYUBuQHsAh4CTwKEArgC5wMUA0MDcgOeA8kD+AQpBFYEfwSoBNME/QUoBVUFfwWlBcYF5QX9BggGCwYPBhYGHgYqBj4GWAZxBosGrAbVBv8HKQdVB3YHfweFB7wIPgjvCZkKJgqYCuoLDwsPCw0LHws9C1sLeQujC9sMHQxhDJMMoQyaDK4M+g1dDZsNmQ1wDT4NCAzODJgMdwxqDGcMZgxiDFsMUAxDDDAMEgvkC68LewtNCykLFQsRCxgLIwszC0QLSQs0CwoK3Aq1CpIKcApMCikKCgnzCeYJ3wnRCbYJlAl1CVwJRgkyCRoI+gjXCLYIngiVCKIIyQkECToJUwlHCSQJAwjzCO0I5AjTCMUIyAjaCOsI6wjdCM4IxwjNCOMJBAkcCR0JDQkECQ8JHgkeCQcI4wi7CJEIYQgnB+UHpAd0B1oHUAdKBz4HLAcNBuIGswaJBmAGKgXiBZUFUgUdBPIEywSdBGQEJAPpA7wDmQN4A1ADHwLkAqECYgItAf0BzwGhAXQBSQEfAPsA4wDVAMgAtACbAIMAdABxAHUAcQBgAEwAQAA4ACgAC//t/9n/zf/A/6n/if9r/1r/U/8//xD+0v6e/n/+Zf5G/ir+Iv4w/k7+df6c/rD+pf6B/lb+NP4c/gv99v3N/ZX9af1o/Y79wf31/jb+if7P/uH+r/5I/dj9mv20/hf+df6H/kz+BP3e/dD9rf1j/Qb8uPyS/Jb8sfy+/Jz8Tfv4+8H7p/uR+237RPsl+xP7Afrd+qH6TPnq+Yf5KPjI+Gr4H/fw99b3wfer95L3afcY9qv2T/Yo9if2JfYU9gT19fXR9Yv1N/Tt9K30bPQm89jzdPLx8l3xx/El8Gjvoe797pXuVe4g7eftrO117UvtOO0s7QLssexl7Fbsh+zI7Ovs4eyy7GzsMOwm7EzsZuw1673rNOrD6mPqAemd6UDo6OiK6CXnw+dq5xfmxuZ15iPlzuV65Svk4OST5EPj8uOh407i9OKZ4kHh8OGj4VjhCuC34GHgDt/A33PfIt7T3o3eTt4M3cPddd0q3Obcr9yD3F3cN9wY3Afb/9v02+Lby9uw24nbVtsh2vXaydqS2l7aSdpf2pXa3ts625Hbsdt92xza29rl2xfbMdsZ2u3a2dru2x7bSttj22XbT9sO2pjaBNmL2VnZbdmm2ebaJNpk2qja9dtK26Hb8dw83Irc3d0x3X3du93t3iXeft8D35/gMOCu4SThn+Id4qLjN+PY5HDk+eV85gDmcebD5wfnS+d653jnWudc55nn8egn6BHnrOcq5v7ni+jE6iXrNOvn7HvtDe2G7dbuHO597v/vnfBO8QDxmvIV8oHy4/Mx827ztvQY9IL01PUS9VP1mfXW9gz2SvaV9uL3LPd/9974QPie+QD5afnR+in6cfqy+vL7NPt8+9D8LfyS/QT9hP4D/m7+w/8S/27/1QA9AKABCgGGAhECmgMNA2MDpQPlBC8EhATeBToFngYKBnsG6AdVB8oIQQimCPwJYwn2CqULPAudC98MLAyUDQgNeg3oDlUOuw8QD1cPoQ/7EGkQ4hFiEfESjxMsE7MUIBSCFNcVDxUqFUQVbRWKFXoVThVSFbsWeRc9F8MYABggGF0YyBk2GXcZohoEGqca8RoNF8kVBBMXEsMTtxUCFe4WZBakFtoXAhcPFwgW/BbrFtYWwxa3FqcWjhZ1FmkWYxZWFkgWRBZGFkEWOhZEFloWZBZnFo0W2BcOFvsWvhaiFrQWwha4FroW1hbhFsoWzhcPFyoWlBVlFGwUUhTkFXcVqRWOFToUlhOyEu0SnxK/EvwTIhMwEzITLxM4E14TmhPTFAsUXBTFFRgVLRULFNsUqxRsFCMT6hPNE7ATdRMsEv4S8RLdEp4SQBHmEaURdxFbEVARSRExEQsQ8hDrEOEQwRCXEHwQbRBbEEYQNRAnEBAP8g/aD8kPtw+nD50Pgg8+DvMO5g8eD0YPFQ6xDnUOcw5oDiwN6w3NDbQNcQ0nDSUNfA3hDf4NwA1ODNcMewxTDF8MggyUDHsMPwv6C8ULpAuIC1kLGQrcCrUKpgqqCsIK3ArTCo4KKQncCb0JtQmkCY0JdglYCTMJJwlWCaYJ0wm+CYgJWwkxCPUIuAicCJ8ImQh2CE0INAggCAAH3gfLB7cHjQdVBy0HFwb9BtAGowaDBm0GXAZSBkoGMgYABcoFrAWkBZgFfAVXBTQFEQTwBNYExgS5BKgElgSJBIEEewR1BG0EYgRXBEwEPgQpBBEEBAQHBBAEGwQoBDcEPAQ2BC0EKQQgBAsD+AP8BBgEMwQ5BDEEMQQ+BFEEZwSIBLkE7AUGBPcEzgSuBKoEuATIBNsE9wUPBREE/wTyBP8FIgVRBX4FjgVpBSIE9gUQBVAFbwVTBSEE/wTpBMoEnQRuBEgEMQQrBC0EJAQGA+YD4QP1BAMD9APOA6MDfwNjA04DPQMpAw8C8gLVAroCowKRAoECbgJVAj0CJgIRAfwB6gHYAcIBqAGOAXYBXAE/ASIBBQDmAMUAowCGAGsASwAqABD//v/u/9v/yP+1/6D/if9z/17/Sf8y/xr/A/7s/tP+uP6Z/nj+VP4x/hH98/3V/bb9lv12/VT9Mv0U/Pb81vyu/IT8Wvwz/Av74fu1+4j7WPsh+uj6sPp++k/6JPn++d35uvmN+VX5G/jm+Lb4i/hh+Dj4C/fW9573aPc39wr24fa79pf2cPZF9hb15fWy9X71UPUp9QX03/S59Jb0c/RN9CTz/fPX86/zh/Nh8zvzE/Lp8sLyofKB8l/yPvIi8gjx6/HL8a3xkvF28VnxPfEn8RPxAvDx8ODw0PDB8LLwofCQ8ILwdfBq8F7wVfBQ8E3wSfBH8EnwTvBS8FXwWvBi8GzwevCO8KXwvvDV8OzxA/EZ8TDxTPFt8YzxqfHI8eryC/Ir8kzyb/KS8rLy1vMC8zHzXvOK87nz7PQd9Ez0f/S39Ov1FPUy9Uz1afWO9b/19/Yx9mf2lvbC9u33HPdQ94f3vvfy+CX4WfiO+MH48Pkd+Uj5c/mf+c35/Por+lj6hfqv+tf6/Pse+z37Wvt6+577xPvn/Aj8KfxK/Gj8g/yj/Mj88v0c/UP9Zv2I/ar9z/32/hz+Pv5d/n3+n/7B/t7++v8c/0X/a/+K/6P/wP/g//4AGgA7AGAAewCHAJMArADPAO0BCAErAVsBhwGVAXIBHACxAGkAfwEKAecCzQNzA7cDswOmA70D7gQPBAIDzAN/AycCzQJ/AkQCEwHeAZwBSADjAHoAIv/c/5j/UP8Y/wP/Bv8M/w3/CP7w/rr+df46/gn91f2o/ZP9if1w/Vv9cv2U/W/9Gf1P/p8AhAHJAccA7wAA/xr97fx8+z76jvpT+k76ZPqL+qL6l/qB+nb6Zvo5+f351Pmt+Vz45/iW+KL45/kI+MT4IPdG9mj1pvUO9KH0XPRF9Fj0dvRq9BTze/K+8frxOPCE7+3vhu9S70fvSO887xPu2O6k7pLure7v70Hvh++l743vSu7z7qHuXu4t7grt8u3j7dvt3u3x7hHuN+5Z7nDueO527nHuau5g7lfuVO5Z7mPua+5y7n7uku6s7sru6u8K7yrvTu9075nvuu/e8A3wRPB58K7w6PEn8WLxlvHI8fzyMPJk8qLy7/NG85/z9vRM9Jf01PUN9U71l/Xd9iH2bfbE9x/3effP+B34WfiL+MD4+Pkk+UL5YPmO+cX59voj+lP6g/qr+tL7APs1+2j7mfvN/AD8L/xc/JH8zv0J/UL9fv29/ff+KP5Z/pH+y/8A/zH/Zf+Z/8n/+AAqAF4AjwC/APMBKAFcAY4BwAHvAh4CUQKJAr0C6gMUA0IDcAOaA8MD8QQfBEYEaQSOBLgE4QUKBTgFaQWWBboF2AXvBfwGAgYFBggGDAYTBiIGOQZSBm4GkAa6BuQHDwc2B1EHXwd8B9AIYQkHCZoKGQqRCvQLIwsiCxcLJgtPC38LqgvMC+0MGwxbDJYMrAycDJYMwQ0ODUsNWg1HDScM/gzLDJsMegxrDGUMYwxjDGMMXgxTDD8MIAv1C8ULkwtiCzkLGwsKCwILAQsKCxkLHAsJCuUKwAqiCogKbgpSCjUKFwn7CecJ1wnBCaEJfwlmCVUJRgkzCRUI6Ai9CJ0IjwiXCLgI8AkwCWMJdAlmCUgJLQkcCRAJAgjxCOUI6Qj4CQQJAgj9CQYJHAkxCT0JRAlHCUAJNgk0CUIJUAlLCS0JAgjVCKgIcQguB+MHnAdtB1kHUgdHBzgHKAcVBvMGvwaFBksGDwXKBYIFQgUSBOwExQSSBFEECgPHA5MDagNFAx0C6wKwAnECOQIIAdYBnwFoATYBCgDgALoAmgB/AGcATwA1AB4AEwAZACoAMAAjABAACQAMAAb/7f/L/7L/pf+b/4b/Yv88/yb/H/8U/vH+vf6P/m7+S/4e/fT94f3n/f7+Hf49/lD+TP43/hn9+f3d/cz9vv2d/WD9Jv0a/UL9gP3B/gv+Y/6w/s3+qv5V/e/9qv2w/fz+R/5J/f79o/1y/Wr9ZP1C/QH8tPx7/HP8mfy8/KT8R/vY+4/7cPtZ+zH7A/rn+t761/rA+o76Rfnp+YT5Hvi9+Gb4I/f299D3pvd891r3Mvbr9oz2QvYn9ib2FPXw9dj10fW59XX1EvSs9E/z+/Ov82fzD/Kb8hTxhvDg8BLvNe6E7h7t7+3N7aDtZ+0p7PTs2OzM7K3sbews7CPsXeyu7ODs2+yr7HDsUOxc7HXsZOwR65nrKerK6mnp/umX6T/o6eiG6Bvnt+db5wLmqOZR5f3lp+VQ5P7ks+Rr5CDj0eN/4yni0eJ44iHhzuGA4TPg4uCM4DXf4t+V30re/9623nDeKt3i3ZrdU90L3MXch9xV3CrcAdvd28fbvdu226zbnduE21zbKtr72tHaoNpm2jPaHtom2kHacdrA2xbbOdsO2sXasdrp2zPbSNsf2ufazNrZ2v3bI9s22yvbAtrA2mraCNmt2XLZatmQ2dDaFdpV2pTa29st24Hb0Nwb3GrcwN0Z3W/du9333i/egd7/35jgLOCq4SDhneIf4qXjNuPU5HDlAeWP5hnmjebg5yTnYueF53nnYud658roHOg46BDnq+cv5vXnZ+iS6gXrNuwF7KvtR+3A7gruS+6y70Tv6vCV8Tzx0fJO8rjzFfNf85zz6PRR9MH1F/VT9ZD11/Yc9lj2lfbb9yb3c/fG+CH4ffjX+Tb5oPoK+mb6s/r1+zb7fPvL/CL8ffze/Uz9xv49/p7+7f87/5cAAQBuANgBRgHDAlEC3ANOA50D2AQUBF4EuAUaBX4F5AZOBrwHKwehCCIIpAkTCW4J0gpgCwQLiwvZDBIMawznDWANvw4TDnEO1A8lD2cPsRAcEKQRNBG/EkkS1hNiE9oUOBR8FK0U0hT/FUYVmRXAFZYVSRVGFdAWuBeCF+YYBxg4GKIZIBlzGYcZjRnRGl8axhpIGH0V3BOcEs4ThBTgFfUWfhbCFwIXNBdAFzYXLxcqFxkXABbwFuMWzBauFpoWkRaJFoAWfRZ9FngWdRaFFqAWrRa0FtYXEhcvFwcWyha9Ft0W7xblFuwXEBcgFwcXBBc6F0UWoxV/FLUU6RXZFsAXIxcMFqIV8hUgFH8UQxROFFwUTxQ0FBYT+RPuFAYUMhRZFIEUyhUyFYMVjRVfFSUU7hSmFFQUGxQCE98TkxNFEzQTXRNpExcSgBH0EaQRhBF4EXIRZBFCERMQ9RD0EPwQ8xDdEMUQqhCEEF4QSBA8ECYQBQ/tD+oP7w/sD+APwg+JD0kPLQ9AD1IPNA71DsoOvA6hDmgOLQ4HDd4Nlg1NDUQNjg3zDiQN/Q2TDRUMsgyMDKkM6Q0UDP4Mpgw6C+cLuguWC2ALHQrlCsIKtgrBCuYLCAr2Cp8KKQnUCbEJpgmYCYsJiwmYCasJywn1CgkJ6gmrCX0JbglXCRsI0wiuCKgImwh1CFAIPQgsCA8H8wflB9UHrAd3B1UHRQcsBwAG0wa1Bp4GhgZvBloGOAYDBdEFvQXEBcYFrgWABUwFHQT5BOAE0QTEBLYEqgShBJwEmgSYBJAEfgRpBFoESgQvBBAD/gP8BAIEBwQTBCQELAQlBBwEGwQWBAMD6wPnA/sEFwQwBEsEagSABH4EbgRrBIQErwTOBM4EtwSlBKUEsgTBBNUE8gULBRAFBgUDBREFKwVSBYoFugWxBWQFDgT4BSQFVAVXBTcFFQT6BOAExgSpBIQEWwRBBD8EQAQsBAoD9AP2BAAD/APkA8EDmQN0A1kDRwM4AycDFAMAAugCzgK3AqQCkQJ5Al8CRwIzAiECEQH/AeoB0AG1AZsBgAFhAUMBKQERAPUA1wC6AJoAeABXADsAJgAR//3/6v/X/8L/qv+T/3//av9T/zz/Jf8O/vX+2v6+/p/+fP5X/jT+Ff34/dn9uP2U/W/9S/0q/Qz86vzE/Jv8dfxQ/Cr8APvU+6X7cfs5+wL6zvqe+nD6RPod+fz52vmv+Xr5Q/kP+Nz4qvh6+E74Iffv97n3hfdT9yP29/bR9q/2jvZo9j72D/Xa9ab1efVU9TD1B/Tf9Lr0lfRt9ET0H/P789bzr/OK82jzQfMY8vLy0fKw8ovyZ/JK8i/yEvHy8dTxufGd8X/xY/FN8TzxK/Ea8Qjw9/Do8Nrwy/C58KnwnfCT8IjwfPB18HHwbvBs8G/wdPB58H3wg/CM8Jfwo/Cz8Mjw3vDz8QnxIPE48VDxa/GJ8ajxw/He8fzyHPI+8mLyhvKp8sry8PMd80zzd/Oe88v0AfQ69HD0o/TY9Q/1QfVo9YP1nPW89ef2FvZD9m72mvbH9vP3H/dP94X3vPfx+Cb4XPiS+MP48fkb+UT5bPmX+cX58vod+kn6dvqi+sz69vsc+zz7WPt1+5n7wPvk/AP8IPw+/Fz8fPyh/Mn88f0X/T79Zv2N/bH91P33/hj+N/5X/nz+o/7D/tz+9P8R/zX/W/+A/6P/wv/d//YAEAAuAEsAYQByAIkArADUAPYBEAEoAUoBegGvAcsBrwFYAPIAwwEFAb0CrgN/A+8EAQP1BAsESwSRBK4EigQnA54DGgLAAo4CZgIsAd0BfwEXAK8AVQAL/8n/jv9s/2v/eP97/3H/Xf80/vP+qP5n/jD+Bv3//iL+Qf4s/fv96/30/cP9Vv0+/f7/TQBSAJgAW//r/yT90vxF+xz6nfqG+on6m/rJ+vr7C/sH+wH67/q7+nT6PPoS+db5iPlc+W75lfmF+Rf4YfeP9r/2APVa9Nj0iPRs9HT0cfQy86Ty2fHz8QnwLe9w7uruqu6u7tvvDu8s7y/vIe8Q7wbvEe8+74nv1O/47+LvnO9C7uvupe517lbuO+4f7gTt+e4F7iPuTe507ozuj+6C7nfuc+5u7mPuWe5Z7mbuc+577oTulO6s7sru6e8H7yXvR+9u75fvvu/k8BDwP/Bu8J7w1PES8VDxiPG/8fjyL/Ji8pny3PMm83PzwvQW9Gv0ufUC9U71mvXi9in2ePbU9zf3nff++FL4k/jN+Qv5Sfl0+Yz5qPnX+g/6Qfpu+p/6z/r3+xn7Qftv+577zvwD/Dj8aPyU/Mb9AP04/Wv9ov3h/hz+Tf56/q3+4/8W/0n/ff+y/+YAGABKAHwAqwDaAQsBOwFqAZkByAH2AiMCVwKPAsMC7wMbA0oDeQOhA8kD9AQeBD4EWQR6BKEEyATuBRsFTgV9BaEFwAXeBfkGCQYPBg0GCQYIBhIGKQZIBmoGkQa9BuwHGAc6B08HYweUB/0IkAkjCZsKBwp7CuYLJgsyCy0LPgtvC60L4wwBDA4MJwxeDKAMwQyyDJYMmgzBDO8NCg0TDQ0M9wzVDLUMngyNDHwMcAxvDHcMfQx3DGIMQAwWC+YLtAuBC1MLLwsVCwIK9wr3CvsK9grgCsEKpwqWCogKdgpgCkYKKAoLCfEJ1wm2CZAJcAlfCVcJTQk4CRYI3gitCJMIlAiuCNwJGAlUCX8JjAmACWgJUQk9CSwJGAkECPcI+QkECQsJEAktCXEJxAn0CekJuAmHCWgJVwlVCWAJcAlvCVUJJwjwCLMIbQgfB9EHkgduB2AHUgc3BxUG/QbuBtIGnwZhBiUF7gWyBXMFPAUSBOwEvwSFBEMD/wO8A4EDTAMaAuUCqgJsAjYCCgHhAbABdQE3AP8AzgCiAHkAUAAqAAn/8v/h/9X/0//i//sACP///+7/6f/u/+n/z/+q/4z/fv92/2b/RP8Z/vr+6f7Y/rn+kv5z/lz+Of4D/c79r/2p/bT9x/3d/ez98P3s/d79wP2Z/X39cv1e/S789Pzc/PX9Lv14/dj+RP6a/rv+p/5x/i399P3n/gv+NP4o/d39fv05/Rn9E/0Z/Rf8/vzW/MX82Pzl/LD8M/ur+1f7N/sj+wD62frE+sD6vfqu+oz6VPoF+ab5Q/jn+Jj4Xfgw9//3v/d790T3EvbQ9ob2VfZO9lD2MvX+9dn1yvWs9WD08/SG9CbzzfN58yXywvJH8bzxKPB575/uuu4H7abtfO1e7TftCezY7Kfsguxq7E/sJev/6/zsJuxh7Ivskux97GLsV+xe7FrsLevX63jrJOrQ6mrp++mX6ULo6OiA6BXnsudV5vXmluY65eHlhuUr5NXkieRE4/3jsONc4wXireJX4gLhruFd4Q7gu+Bi4Avfut9u3ybe4N6e3lneDd3A3XndNtzw3KjcZdwt2/zbz9up25Hbg9t823jbcNtd2zXbA9rU2qjac9o22gbZ9dn32f/aGtpb2rHa4trQ2qjasNrv2ybbIdrt2sDattrD2tja7dr32uXatdp92kraF9nV2ZHZbtmC2cDaCdpG2n3avtsO22Hbrtv53EzcqN0H3WTdut4B3j/ej98G35vgL+Cv4SbhouIj4qXjMOPI5GblAeWb5i7mqOcD50rngueW537nbOeZ5/foQ+hO6B7nx+dZ5xbnbOiD6frrQ+wr7OHthe3+7kDue+7m74PwL/DU8XLyBfKG8vbzVPOf8+H0NPSh9Q/1X/WU9c72GPZm9qf24vci92r3uPgO+Gr4wvkW+XL52/pH+qn6+fs9+4H7zfwh/Hf8zP0o/ZL+Bf5w/sr/Gf9s/8oANACjARQBiQILApgDHAOBA8UD+wQ8BI4E7AVQBboGJwaWBwcHfAf3CHoI/QlwCc0KKgqlCzMLrQv9DEUMrw01Da4OBQ5PDqIO9w8/D4EP0xBJEN0RghIlErMTJROAE80UChQzFFEUghThFWYV1RXmFY0VJhU2FfUXCBfWGB0YJhheGNoZUBl6GV0ZNRlEGaYaJRooGQcWvxRQEwoTaxTAFfIWkRbgFywXaBd1F2UXYBdiF1MXNRciFxgXAxbiFssWxxbHFsEWuxa4FrUWthbGFt8W7Rb2FxYXShdjF0YXGxcZFzYXPxcuFy8XShdSFz4XRhd9F3sW1RXHFScVgxaQF44YAxf0F5EW/hZfFegVpxV/FU4VFRTeFKQUaBRGFFQUgRSpFM4VDRVhFZkVlRVtFUcVIhTmFJoUYBQ6FAMTsBN/E6gT/RQFE3wSpBH5EbMRrBGoEZERcRFNESwRFxEXER8RIBEZEQsQ7RC7EIUQYxBTED8QJBATEBcQIxAlEBYP+w/TD6YPhw99D3MPVA8oDwUO7g7RDqUOdA5IDhMNzA2KDXYNpQ36DjsOOA3kDWQM9gzLDO4NMA1NDRUMmQwbC9MLvAumC24LIQriCsAKtwrFCucLBAr4CrYKXgoaCfUJ2wm7CZ4Jmwm+CgMKVAqOCoUKMQnBCXEJUgk7CQoIzwisCKAIjwhuCFEIQwg1CB8ICQf6B+QHugeNB3UHawdSBycG/gbhBsUGoAZ9BmIGQQYPBeAFzQXVBdsFxwWYBWAFLgUMBPQE3wTJBLkEswSzBLAErQSsBKYElQR/BG0EWwQ/BCAEDAQGBAID/AQCBBIEHAQWBA0EDAQKA/kD4gPZA+QD+QQbBE8EiQSoBJsEeARiBG0EkASxBL0EtgSuBK8EtQS9BMkE3QTvBPUE9AT7BQoFFgUwBXIFzQX6BcoFYQUWBRUFOwVUBUsFKwUJBPgE/AUABOEEnwRkBFIEWgRVBDQEEAQABAEEAAPwA9ADpwOCA2kDWwNNAz0DLwMiAxEC9gLaAsMCrgKXAn4CZwJUAkQCNQIlAhEB+AHdAcMBqAGLAW8BVgE/ASUBCADoAMgApgCHAGwAUwA8ACUAEf/+/+j/0P+5/6X/j/93/1//Sf8x/xb++v7g/sT+o/59/lr+Ov4c/f392v2z/Yv9Zf1D/SL8//zZ/LP8jvxp/EX8Hfvx+8H7jPtV+yL68vrF+pb6aPo/+hr59PnI+Zf5Z/k5+Qn41Pie+Gv4O/gL99r3qfd390P3FPbs9sn2qPaE9lv2LvX79cn1n/V89Vf1L/UH9OL0vPSS9Gn0RfQk8/3z1POv847za/NF8yHzAfLe8rjylPJ38lzyQPIg8gLx5fHG8ajxjfF58WjxV/FE8TDxH/ER8QXw9vDj8NDww/C68K/wo/Cc8JrwmPCW8JfwnPCi8KjwsfC88Mbw0PDc8O3w/fEO8SHxO/FX8XDxiPGj8cDx3fH38hHyL/JQ8nTymfK+8uLzCfM282XzkPO289/0EPRG9Hj0pvTX9Q71SPV79aD1vvXg9gr2NPZZ9n72qPbY9wb3Mvdg95P3xvf3+Cv4YviY+Mn49fkf+Uf5bvmZ+cb58fob+kT6b/qZ+sL66/sV+zn7WPt3+5v7wPvj/AH8Hvw6/Fj8evyj/M388v0S/Tf9Yv2O/bT91/33/hX+Mf5Q/nb+nf69/tj+8/8Q/y7/T/9y/5j/uf/V//AADgArAEAAUQBlAIAAowDKAPMBGwE7AVQBdQGoAd8B9wHSAX0BLQErAaACdANTA+cEGgQaBC4EewTyBVoFdQUbBGgDqgMoAugCuQJ1AhgBswFUAQMAxgCYAG8AVABYAHUAhwByAD3//P+0/1//Av6r/mT+Qv5h/rn/BP7//r7+iP5p/iL9pP1R/ZD+Sf8G/33/rf+B/rv9Yfv7+xj6w/qb+nH6dfrO+1D7rfvG+6z7cPsZ+rz6c/pC+hn58vnf+d75zfmF+QP4aPfM9zT2mPX69Wf09fSr9HT0KfOp8vPyGvEy8Ervd+7S7nTuYu6P7tzvKu9l74vvo++t76fvnO+k78rv+/AW8Azv4e+g71XvDO7T7q3uiu5f7jPuGu4b7jHuUu5z7onuiu587nLudu597nrubu5o7m3udu6A7ovum+6x7svu6O8H7yfvR+9t75jvw+/t8BbwQPBq8JPwwvD48TLxbPGn8eXyIfJZ8pHy0PMV813zqfP89Fb0sPUH9V31sfX/9kj2lfbq90r3svgZ+G/4svju+TD5cvmf+bj51/oJ+kT6dvqk+tX7CPs0+1r7g/uy++D8DvxC/Hf8pfzQ/QD9Nf1m/ZH9wP34/jD+Yf6N/rz+7/8j/1b/i//A//QAKABaAIoAuADnARcBRAFwAZ0BzAH5AiQCVQKKArwC6gMZA0wDfQOmA84D+QQhBD4EVQRzBJkEvwTjBQ0FPQVlBYYFqQXWBgAGHAYmBiYGIwYhBicGPAZdBoMGqwbZBwwHPAddB3AHhge+CCgIrwktCZEJ7gpYCsQLFAs8C08LawueC94MFAwuDDEMPQxuDLMM3AzODJ8Megx2DI4MswzWDOsM7AzhDNgM0QzCDKoMlgyWDKYMtAyxDJgMbQw6DAYL0QueC28LSgstCxULAwr5CvMK5wrNCq8KmQqOCoYKewppClEKNQoaCf8J4Am6CZMJdwlqCWgJXwlFCSQI4QivCJ8IswjdCRAJRwl4CZkJowmYCYMJbAlVCT8JKQkVCQgJCAkNCQ8JHQleCeEKcQq6CpUKLAnFCYUJZglaCWMJewmPCYQJVQkKCLMIWQgEB70HjAdzB2cHTwcfBugGwgasBpIGZgYxBgAF1AWhBWoFOgUUBOoEswR0BDUD+AO5A3cDNwL3ArQCbwIwAf4B1gGsAXUBNADxALQAfwBTACsAA//c/77/sf+w/7H/tv/E/9v/6//p/93/1P/P/8D/ov9//2b/XP9Z/03/L/8F/t/+wP6f/nf+Vf5H/kH+Jv3v/bH9hP1s/Wf9cP2C/ZL9nf2l/aL9hP1Q/ST9Fv0R/Pn80Py0/Lj84f0w/ar+Mf6S/rT+rf6X/nj+TP4p/iD+Iv4L/dL9if1C/Qn88P0G/Tv9X/1b/UX9Mf0E/Jn7/vt0+y77HvsX+wL66frX+sj6tfqd+n76U/oT+cP5bfkY+M34kfhg+Cf32/eH9zz2+fay9nH2UfZY9mH2SPYW9fD11/Wp9U302fRu9BPzu/Ng8vvyhfH58V/wu+/97yDuRe2g7UbtFuzt7MXspeyM7GvsQOwW6/Pr2evN69Pr6ewE7B/sOOxJ7E7sS+w/7CDr5+uh617rG+rH6l7p9OmZ6UTo5eh96BfntedS5uvmh+Yp5c3lbuUS5LvkbuQl497jkuM84uLiiuI14eDhjOE84O3gmeA/3+ffmN9O3wbew96D3j3d7t2e3VjdGNzV3I3cStwQ29rbqNuA22XbU9tH20TbQ9s12w/a3dqt2n/aRdoG2djZyNnG2cbZ2tod2n/axNrK2rPat9ra2uzaz9qf2ovamNqo2qzaq9qp2pfac9pS2kTaNtoH2bzZg9mC2bbZ+Nov2mDan9rv20Hbi9vU3Cvcj9z43Vvdtd4E3kremt8K35ngMOC34TLhreIq4qjjK+O85Fnk/eWj5kDmwuck53Lnqeez55XnhOe36BnoYOho6EToA+ek51nnk+iQ6gLrWOxT7Rftv+407m7upe8W777wcPEQ8aXyNPK58y/zlPPm9DH0i/T49WH1qfXY9g/2Wvap9uz3J/dl96r3+PhR+K/5BvlX+a76FfqG+u77RPuL+9L8Ifx1/MT9Ef1n/c/+Pf6f/vX/S/+oAAsAcwDjAVsB1wJaAuADWAOuA+cEHwRqBMYFJgWKBfgGcAbrB2QH3QhWCNAJRwmyCg8KaQrSC0gLtwwVDHYM7g10DekORA6RDtkPGQ9WD6MQChCJESER1RKSEyYTcBOFE5YTuxPpFCAUeBUEFZ8V9xXQFUsU4xUaFgcXNxgMGFQYYBiXGQAZVhlnGUAZBRjdGPsZehnxGYAXqBUgE2gTaRSjFe0WphcCF1YXmxetF50XlxeYF4cXaBdVF00XNxcTFv8XBBcIFv0W8RbyFvwXBRcSFyEXKBcxF1YXkhe7F7EXkBeFF44XiBduF14XYhdnF2wXkxfIF64XBBYgFbcWIxcLF88YIBgSF9UXgxcuFuUWphZiFhoV3BWhFVEU8BSqFJ4UuhTWFO4VGRVPFXIVcxVsFW0VYxU3FPcUtxRzFBoTzBPRFDwUqRSNE8QSvhINEeER+BH9EdURnBFvEVURSBFEEUMRRhFJEUURKxD6EMAQkhB1EF4QSxBDEEgQUBBPEEIQLBARD/MP2A+9D58Pew9XDzYPFw73DtQOqg55Dj8OAw3NDawNtA3pDisOQQ4EDYsNGgzsDQINJw0bDMEMPQvTC68Lugu6C4sLPQr8Ct0K3QrtCv0K/wruCtEKugqvCqIKegoxCd8Jrgm6CgIKZQq2CsoKkQojCa8JWQkfCOwIvgieCJAIhQh1CGIIUghBCCwIGggIB+sHxAeiB5EHhAdoB0AHHAb/BtoGrQaNBoAGbgZEBg4F6AXbBdcFxgWfBW0FQAUiBQsE7gTNBLgEtwS9BL0EtwS1BLIEpgSRBH0EaQRNBDAEHgQUBAcD9wP0A/8ECQQHBAIEAgP+A/AD4APdA+MD7wQIBD0EfASgBJgEfARsBHkElwS0BMQExAS+BL0EvwTBBMQEzwTaBOAE5gT2BQUFBAUHBT0FqQYJBg4FuwVaBS8FPwVjBW4FUwUkBQoFGgU1BSEE1QSKBHQEhgSMBG8ERgQwBC8ELwQeA/sD1QO5A64DowOMA2sDUQNDAzUDHAL+AuICywKzApsChgJ2AmcCWQJLAjkCIQIGAewB0wG5AZ4BhgFvAVUBNgEVAPQA1QC5AJ8AhgBtAFUAPwAqABL/+v/k/8//tv+b/4P/bf9V/zf/Gf78/uH+wv6g/n3+XP4+/h79+v3S/an9gv1f/Tz9GPzx/Mr8pPx//Fn8M/wJ+9j7o/tw+0L7F/rq+rz6jfpi+jn6Dvng+bL5iflh+TX5AfjI+JD4XPgs9//30Pee92j3NvcM9uj2w/ab9nD2RPYV9en1wfWe9Xn1U/Uu9Qv05fS69JH0bvRM9CPz9/PQ87DzkfNv807zLvML8ubywvKl8ozyb/JQ8jHyE/H08dbxvfGq8Zfxg/Fv8VvxSfE88TLxJPEQ8Pzw7fDi8NfwzPDH8MnwyvDI8MfwyvDP8Nbw3/Dq8PTw/fEH8RTxIPEs8T7xWfF38ZDxpPG78dnx9/IS8i3yS/Jq8ozysPLX8vzzIvNM83vzqfPR8/f0IPRL9HX0nvTJ9Pz1N/Vw9Z/1xfXt9hv2RvZr9o/2u/bt9xz3SPd296X30/f/+DD4Zfia+Mn49vkg+Un5cPma+cf58/oc+kT6bvqV+rr64fsM+zX7Wvt8+577wPvg+/78Hfw7/Fj8e/yl/M788f0Q/TX9Yv2N/bP91v34/hj+M/5Q/nH+kf6u/s3+8P8U/zP/Tf9q/4r/p//C/+IABAAiADcASwBnAIgApQDBAOgBGQFHAWcBfwGgAdAB/gINAewBrQGHAbQCPwL1A4kD0QPhA/MEQATXBYoF/AXgBT8EcgPSA3EDIwLFAlYB6gGWAWkBYwFwAX8BmAHOAg8CJwH3AZIBHgCnACX/l/8N/qb+hP68/zH/k/+h/2n/I/7e/nj97/2L/ZL9/f6Q/xP/Vv8V/i786fvU+zj64fqD+jX6VfsG++z8hvyW/Dj7rfsm+r/6fvpZ+kP6Nfop+gz5zPlq+Pr4kfgw98j3S/a49hj1gPT69Hrz6PM28nHxpvDd8Bzvdu8E7tTu3+8U71zvpu/l8BzwUfB58IPwb/BP8DrwLvAj8BfwC+/278nvhu9F7xHu4+6v7nnuVO5F7kbuT+5g7nTuf+577nTuee6G7pDuj+6J7oPugu6I7pbuqO687s/u6O8I7yrvTO9x75rvxu/w8BjwQvBs8JbwwvDy8SfxX/Ga8djyFvJT8o7yzvMU813zqPP59FD0q/UH9WL1ufYL9lj2ofbv90j3rfgV+G34sPjt+S/5cPmf+b354voZ+lj6jfq9+vD7JvtX+4T7tPvm/Bb8RPx2/Kj80/z7/Sj9Wv2G/az91f4G/jv+a/6Z/sr+//80/2n/nP/N//0ALQBdAIoAtgDkARQBQwFwAZ4BzQH5AiMCUAKDArMC4QMRA0cDegOlA84D/QQpBEkEYgSCBKgEzQTwBRcFPgVcBXYFnAXTBgcGKAY6Bk4GYgZtBnIGfgaYBrYG1Ab0Bx4HSwdvB4cHpAfcCDgIqAkVCXYJ1Ao2CpoK8QszC2ULkwvGDAAMMQxIDEgMUAx6DLoM4wzVDJcMUgwtDDUMYwycDMkM4AzrDPYM/Qz2DOQM1gzaDOwM+gzzDNEMmAxYDBsL5AuyC4cLZAtGCywLFQsECvkK6wrSCrIKlgqHCoIKfQpwCloKQQonCgwJ6wnGCaMJiwmCCYEJeQlbCT0I9AjCCLwI3gkTCUgJdwmbCbAJswmqCZgJgglqCVIJOwkqCSIJIQkeCRYJIwl0ChAKtQsCCtAKUAnWCYgJXAlECUgJawmSCZUJYgkFCJwIPQfwB7UHjQd3B2cHSwcVBtYGpQaGBmgGPQYNBeIFugWKBVcFLAUJBN0EnwRbBB0D4wOhA1gDDgLJAoUCQAIBAc0BnAFiAR0A0wCOAFMAIf/6/9r/vP+f/43/jP+Y/6H/pf+q/7j/yf/R/8//w/+s/4z/Z/9J/zn/Nv81/yv/EP7p/sH+mP5o/jb+Fv4T/hr+Cv3b/Z79Zv06/R/9Hf0w/Uj9W/1p/Wr9TP0R/Nv8xfzF/L/8qvyT/Ir8n/zp/W/+BP5r/pT+pP6x/qj+dv4x/f794f3I/ar9jP1l/S/9Bf0R/VD9jf2d/YP9Svzn/FH7r/tD+yX7Mfs5+y37GvsB+tv6qvp8+lT6Kvn3+bn5dPkm+NX4i/hJ+Af3uvdn9xj2zPZ+9jr2GvYe9if2FfXz9dj1v/WI9SX0rfRB8+fzkPMw8sHyPvGi8PXwPO9x7pvt2u1Q7QDsyOyU7GjsVOxK7DXsCuvT66brk+ub67Pry+vf6/fsGOw47EbsPOwd6+3rsut560XrCOqz6k3p7emZ6UTo5eiC6CLnvudP5t3mduYY5bvlW+UA5KzkXOQO48LjdOMc4r/iY+IO4bvhauEd4NHgfOAg38jfe9803u3ep95j3hndx9153Tbc+Ny13G/cMdv628Lbi9tf20HbKNsW2w/bEdsH2uXatNqG2lbaG9na2a3ZmtmR2Y3Zptn12mjav9rU2r3ardqv2qnaiNpo2mnagdqQ2ofaeNpv2mHaTdpG2lfaZtpJ2f/Ztdmc2bbZ5toW2knai9rb2yrbb9u13A3cedzr3VXdst4G3lLeod8I35DgKeC94ULhvuI34q/jLuO75FnlBOWy5lPm2Oc/55Pnzefa577nrufa6DDoc+iI6H3oVOf/567n1Oi76h/rd+x/7U7t+e5n7pvu1O9Q8AbwvvFY8d/yY/Lk817zy/Qm9Hn01/VG9a71+PYq9mL2p/bu9yz3aPeo9+/4O/iS+O/5RvmX+e36VPrG+zT7jvvY/CD8b/zC/Q39U/2l/gn+cv7Q/yj/iP/xAFsAxQE5AbUCMgKtAycDlAPhBBQETQShBQQFZwXOBkMGxwdLB8gIQQi0CR8JgQnhCkAKoQsGC20L1Aw7DKwNJg2gDg0OcA7HDwgPNg9vD9MQWxDrEYQSOxL8E4ETmRNvE1wTjRPrFFcU0hVfFdIV6hWOFP0UrBT2FdoW9hfWGE8YjRjJGQgZNxlUGWUZUBkIGNoZMRniGe8YeRXrE9cTcxSFFeEWvhcrF4EXyBfjF9wX1hfSF7wXnheOF4YXbBdHFzcXQRdGFzYXKRc1F1IXZhdsF2gXYxdqF5YX3BgOGAQX1Re2F7UXthegF38Xbxd9F6oX6Bf+F6wW+BZXFkUWxxduF88X3RfMF70XrReVF28XPBb9FsUWnBZoFg0VlBUvFP0U7xTqFO8VCxUwFU0VZRWEFaMVpxWKFV0VIRTAFEIT9RQkFLMVHBTgFAAS+hJYEkgSixK9EqMSShHmEZ4RexF2EYURoRG3EbIRjRFTERMQ1xCjEH0QahBnEGwQdBB5EHUQZBBLEDAQFg/3D9UPtg+ZD3YPSg8dDvUOyw6YDmIONA4HDdUNsg26DegOAg3WDXINGAzzDPcM8gy/DGMMBAvKC8ALzwvOC6gLagsyCx8LMgtRC1YLNgsMCwILKAtkC4ULYArwCloJ4QmxCcoKDwppCr4K5Qq3CjwJsQlNCREI4QiuCIkIfQh+CHkIZwhPCDkIJggPB+4HygevB58HjAdvB04HMgcRBuIGtgaoBrYGvAabBloGGQXtBdUFwgWmBX0FUwU0BR0E/gTZBMAEvgTHBMkExATCBMEEtwSjBIsEcQRSBDUEIwQZBAoD9wPtA/ED9gP1A/UD9wPzA+YD4APoA/QD+QQEBCkEWwR8BH4EdARzBIEEmASuBLwEvQS4BLgEvQTCBMkE1QTjBOwE+AUNBR4FFQT/BREFZAXMBfkF0QWABUgFSQVvBY0FfAVDBRQFFQUuBSME5wStBKYEwATFBKIEdwRoBHEEeARoBEUEJgQaBBwEEgPpA64DgQNqA1sDQwMlAwgC7gLTAroCpgKYAosCfAJuAlsCRQIrAhIB+AHfAcYBsAGbAYIBZAFDASEBAgDmAM0AtACcAIQAbQBVADsAJAAP//n/3f+//6T/j/92/1j/Nf8V/vj+2/69/p3+fP5c/jv+GP3x/cj9ov19/Vj9Mf0J/OH8ufyR/Gr8RPwZ++j7tfuF+1v7M/sI+tr6rfqB+lX6KPn7+dD5qvmF+Vr5Kfjy+Lr4hPhS+CX39/fE9433Wvcv9wn24fa09oX2WPYu9gX13/W79Zb1cfVQ9TD1DPTj9Lv0mPR09Er0HPP089Tzt/OZ83rzWfM28xHy7vLS8rjynPJ98mDyQfIj8gfx8fHd8cjxsPGb8YfxdvFo8VzxT/E88SnxG/EP8QTw+fD38Pvw/vD98Pzw/fEB8QbxDfEW8R/xJ/Ey8T/xS/FW8WbxgPGc8bLxw/HZ8fbyFPIw8k3ya/KK8qryzPLy8xfzOvNg847zv/Pt9BX0OPRc9IL0qPTQ9P71M/Vp9Zr1xfXy9iL2T/Z29pz2yPb59yj3VfeC96/32vgE+DL4ZfiY+MX48Pkc+Ub5b/mY+cT57/oY+kH6avqS+rb63fsJ+zb7XvuA+6D7vvvb+/n8Gfw4/Ff8e/yk/Mz87v0Q/Tn9Zf2N/a790f32/hj+NP5Q/m7+iv6j/sH+6P8Q/zH/S/9m/4L/nP+1/9T/9AAPACYARABtAJUAsgDHAOUBEAFAAWoBigGmAcYB8AIcAjACHgH3Ae0CIwKMAvkDPwNaA2sDqwRBBRQFyQYHBb8FNgSxBEED0gNWAtYCYwISAf0CJwJxAroDBQNkA8ED5wO3A0gCvQIbAVUAdf+j/xP+6/8r/57/9wAI/+H/nf8+/rv+NP3m/fL+S/7K/zv/VP7V/c38rPvX+1L63Ppr+lD61/ve/N79VP0a/Gj7nvsJ+r36oPqR+oP6dfpf+iz52/l/+TD47fim+Er31vdK9qn1//VX9LDz/vNB8ofx2/E88KzwOO/x79nv5PAG8DjwcfCo8OHxIvFe8XvxavEy8OjwmfBR8CXwHfAm8Bvv7u+y733vTO8U7tnuqO6H7m/uXu5f7njul+6l7p7uke6Q7p3uqu6u7qjun+6g7q3uwO7S7uHu9O8R7zTvVe93753vx+/v8BfwQvBx8KDwzfD98THxaPGg8dnyFPJR8o7y0PMX82DzqfP19Ef0oPT79VT1q/X/9k72mfbk9zj3mvf/+Fj4nfjd+SL5ZPmV+bj54vob+lr6kvrF+vz7Nftq+5v7zfwB/DL8YvyV/MX88P0W/UL9cv2e/cT96/4Y/kf+dv6o/t3/Ff9M/4L/tP/gAAgAMgBfAIwAtwDjAREBQAFvAaAB0QH+AigCVgKJArkC5AMRA0UDdwOiA8wD/QQuBFUEdASYBMAE5QUGBSgFSAVdBXEFmQXSBgYGJgZFBngGswbXBt8G4gbxBwUHDQcPBxkHNAdXB34HrAfnCC4IgAjbCUEJqgoLCmAKrwr7C0MLggu9C/sMMwxVDF0MYQx7DKgMyAy5DHcMIwvuC/IMKQxzDLAM2Az0DQsNGg0fDR0NHg0nDTYNPQ0wDQQMwAxzDC4L9gvGC5sLdgtYCzwLIgsNCwEK9grhCr4KmwqGCoIKgwp8CmoKUwo3ChcJ8wnQCbIJngmWCZkJlwl7CV4JEwjkCOMJCQk/CXQJnwm5Cb8JuQmwCacJmQmECWwJWQlOCUoJRAk0CR8JJAlmCecKagqjCnkKGAm8CXsJSAkhCRgJNQlbCVwJJQjICGoIIAfqB7sHkgd1B2UHUwcuBvkGxwagBngGRAYJBdMFoQVtBTsFFATzBMYEhgQ9A/kDtQNmAxACwAJ/AkUCCwHSAZoBWgEQAMAAdQA2AAH/1/+6/6b/k/+A/3T/d/+F/5D/kv+S/5r/rP+//8X/tv+R/2H/Nv8Z/wn/A/7//vT+2v61/o3+Y/4y/f/94v3h/er94f3B/ZP9Xf0f/Ov81/zn/Qf9Iv02/Tr9Ifzs/Lf8mPyM/IL8dPxk/FX8WvyU/Q39lv33/jP+bf6m/qv+Y/35/ar9gf1s/WT9bP1w/Vf9Mf0r/U/9c/10/U79BvyQ+/P7Zvsj+yz7SvtR+0P7KvsD+sT6evo6+gn54fm4+Y35V/kM+LD4Uvf997D3Zfcd9tn2kfZC9fv10fXF9b71qvWQ9X71a/U49Nv0afP9857zRPLh8mvx2fEq8GjvnO7P7g3tce0H7MHshexO7CjsGewR6/zr1eui63PrXutv65/r1Ov97BrsMOw77DTsH+v868vrketa6yvq8+qj6kXp6+mZ6UPo5uiL6DHnyOdM5tDmZ+YL5a7lTeTz5KDkTOP446fjVeL74pniPOHo4ZjhS+EC4LbgX+AA36nfYd8e3tfejt5D3fPdn91U3RXc2NyT3E3cFNvi26nbb9tB2yDbAtrn2t3a39rZ2rvaj9pj2jLZ9dm22YrZdNlj2VvZetnU2k7aq9rE2qvajtqA2nfaZNpT2lbaZ9pv2mfaXdpZ2lXaT9pZ2n3aoNqX2lnaCNnS2cbZ3toJ2kLaiNrW2yHbZNuo2/7cbdzl3VTdtN4L3lveqt8I34bgIuDF4Vbh0+JG4rzjPOPM5G/lH+XO5mrm6edP56bn6OgA5/Dn4+gC6Ejoieiv6LronOhK5/3oKOkH6lrrpuyw7YnuNu6e7s7vEe+e8GDxGPGm8hvyj/MJ84Tz+PRb9LP1E/WF9fX2TfaP9sz3Cfc/93H3rPfy+Dz4hfjU+Sz5hvnc+jT6mfsH+3L7z/wc/GT8tP0I/Vb9nP3p/kf+qf8F/2P/zgBEALUBJQGbAhcCjAL7A2oD0QQcBE4EhgTbBUMFrQYcBpkHIgenCCEIlQkCCWIJtgoNCnMK4gtPC7MMEwx5DOkNWg3ADiMOiw7uDzIPXA+dEB0QyxF0Eg4SrxNHE5oThRNFE0EToxQ9FNMVThWsFdsVvhVbFOcUpxTMFVsWMhcfF/UYkxjlGPYY/Rk9Ga8Z7hmzGU4ZZxoNGlAZIRanFFYTkBRjFcUWzRdZF7AX8hgUGBoYFRgKF+8X0xfFF7sXoRd/F3MXfheDF3gXdReOF7QXyBfDF7AXnxekF9EYFRg5GBcXzxepF74X4BfYF60Xlhe7GAkYOBgBF14WqBZeFq8XTxfBF88XqReWF6UXuxe+F6sXihdmF0oXLxb+FqIWLhXEFXMVNhUNFQYVHxU9FVcVehWsFdAV0RXAFbIVjhUoFJkURxR2FPMVQBUFFFMTfxLyEvETbhP9FB4TpRLVEh4RxRHMEhcSdRKsEpcSQhHZEXsRKBDcEKIQhRCAEIgQlhCpELQQpxCHEGcQThA0EBcQAA/pD8EPhg9IDxcO6w66DosOZg46DfYNrw2RDaUNtw2WDVINHQ0NDQQM3AyYDFoMOAwoDBUL+QvZC7cLjAthC1QLeQuzC8ULlQtMCy8LXwu/DAsMAwuOCtYKKwnGCaUJtQn9Cn0K9wsLCqQKFQm9CZgJYwkECKYIfAh+CIMIdghfCEkINAgVB/AHzAeyB50HhwdxB14HRgccBuMGvAbCBucG+wbeBpoGTQYQBegF0QW5BZQFaAVFBS4FFgT1BNsE1ATbBN0E2QTYBNgEzQS1BJgEeARUBDUEIgQYBAsD/APxA+wD6APjA+YD6wPoA94D3wPxBAQECgQOBCQERgReBGYEZgRpBHAEfASKBJcEnASdBKQEsQS+BM4E5AT7BQsFGQUvBUQFPQUdBQsFKwVsBZkFlQVtBUYFPwVdBYIFhQVYBSEFDAUTBQoE5gTMBNgE7wTjBLEEgwR8BJEEogSYBHwEZgRmBG4EYAQsA+cDsQOWA4UDbANOAzIDGAL7AuACywK9Aq4CnAKIAnQCXQJHAjACFwH+AeYB1AHDAa0BkQFvAU0BKwEMAPEA2ADAAKgAkAB3AF4ASAA0AB0AAP/h/8X/rv+U/3X/Uv8v/xD+9P7Y/rr+mf54/lf+NP4N/eX9vv2Z/XP9Sf0f/PX8zPyk/Hz8Vfwp+/j7xvuZ+3H7SPsc+vH6x/qd+nD6QvoX+fL5zvmn+Xv5S/kY+OP4r/h8+E34Hvfr97T3gPdT9yz3AvbS9qH2c/ZK9iL1/PXX9bP1kPVx9VL1MfUL9Ob0w/Sf9Hb0SvQh8//z4fPE86bzhfNh8zvzGfL78uDyxPKn8ovybfJQ8jfyI/IP8ffx3vHI8bXxo/GR8YPxdvFm8VfxS/FB8TbxLPEp8S3xMfEx8TDxMvE08TfxPfFF8U7xVfFf8W7xffGJ8ZjxrvHF8djx6PH+8hryN/JR8m3yjfKt8sry6PML8y7zUPN086Dz0vQD9C70U/R29Jz0xPTt9Rb1QvVy9aH1zvX79ir2V/Z+9qX2z/b89yr3V/eG97P33fgG+DX4aPiZ+MT47vka+UX5bvmX+cL56/oS+jn6YvqL+rP63vsM+zr7YfuD+6H7vfvY+/T8Evwx/FP8e/yl/Mz87f0R/Tv9Z/2K/aj9yf3u/g/+K/5J/mr+if6j/r/+4P8C/yH/Pv9e/3//nP+2/9H/7AACABoAPQBqAJQAtADPAOsBCgEvAVsBiwG0AdAB8AIdAk0CYQJRAjcCNgJYAo0CvQLYAuoDHgOcBF8FIwWgBcYFtQWFBTMEvwQ/A8QDVwMGAvIDJgOBA9oELgSNBOsFHgUUBNYEZwO1ArYBjQB+/87/nf/VADAAaQBoAED/9/+C/vL+gf5e/oL+0v85/5D/hf7e/cr8vPv2+1363vq4+zj8Rf1V/eP9wP0X/Dn7e/sR+vr7Avr8+uL6wfqb+mH6FfnL+Y35T/j++Jn4KPeq9xn2dvXN9SP0efPQ8zTyq/Ix8cXxbvE38RzxFPEg8ULxcfGh8c7yA/I68lryTfIT8bbxQPDE8GLwN/A48EDwMPAN7+bvve+H70fvDO7d7rTuke6J7qru4u8I7v/u1u607q7uvO7J7sruxO7D7s7u4e707wPvE+8q70XvYe9+76Dvx+/v8BfwQvBz8KXw1/EK8ULxe/Gx8eXyGvJT8o/yzvMR81fznPPk9DP0jPTo9T/1kvXl9jf2hvbT9yb3g/fi+Df4f/jH+RT5XvmV+b756fof+lr6kPrF+v77OPtu+6D70/wG/Dj8bPyi/NX9Af0r/Vn9iv23/eD+Cf4y/lz+hv63/u7/Jf9b/5H/xf/wABQAOgBoAJgAwwDsARYBQQFwAaMB1wIGAjMCZAKZAsoC8QMZA0cDdwOiA8sD/AQtBFYEewSiBMwE7wUOBS4FSwVfBXQFngXXBgYGIwZKBpUG7gcnBzUHOgdPB2UHYQdCByUHIgdAB3cHuQf4CCcIUgiQCPEJYQnACgMKOwp8CsgLFQthC7YMDgxVDHgMfgyBDJIMogyRDE8L9wu9C8UMBgxZDJ8M0gz5DRYNKw07DUsNXA1qDXYNeQ1qDToM7QyWDEoMDgvbC6oLgQthC0gLMAsaCwwLAwrwCssKogqJCoYKjAqLCoAKawpMCiQJ+gnXCb0JqQmjCasJsgmbCXsJOQkVCRcJNQliCZYJwwnXCc8Jvgm1CbUJsQmiCY8JhAmCCX4JawlJCSoJJwlOCZMJ0wnvCeMJxQmlCX0JRQkJCOQI5AjwCOMIsghuCDQIDwfyB8oHmgd2B24HdAdpB0IHDgbfBq8GcQYkBdkFlgVaBScFAATfBLQEcgQkA9IDewMbArgCYwInAfkBzwGfAWUBHgDQAIYARwAR/+P/v/+p/53/kP9+/2//a/9x/3n/f/+E/5D/o/+5/8D/rP9//0v/H/7+/uP+z/7D/rX+mv5y/kr+Jv4B/dv9wf25/bb9rP2b/YT9Wf0U/Mr8ofym/MT84/z8/Qn8/PzZ/K78ifxo/En8Mvwi/BL8C/ww/Iv89f1G/ZP9//5s/ob+M/25/Wj9SP05/S/9O/1R/VT9R/1B/UX9N/0L/NL8kPws+6j7N/sM+x77NPsv+xn6+vrG+nb6HvnZ+ar5ivlw+Vb5K/jg+Hz4Ffe592X3GvbZ9p/2YPYV9c/1n/WE9Wr1SPUp9RX1APTR9ID0GfOw80/y8vKJ8gPxVvCL77Tu4+4j7YPtDOy67HjsPOwP6/fr6uvZ68DrpOuD61vrPetJ64nr4Owl7ETsPewf6/zr5OvR667rdus96xHq5eqi6krp7umZ6UHo5+iS6Dvnz+dO5s7mZeYK5anlReTn5JLkPOPj447jOeLc4njiGuHH4XrhL+Dl4JfgPd/d34nfRt8I3sPedt4l3dHdfN0z3PbcuNxw3Cnb89vD24vbUNsi2v/a3dq+2rLat9q02practpH2hPZ1NmZ2XPZW9lE2TrZWtmx2h/actqP2oLaZ9pW2k7aRdo62jLaMNow2jHaO9pM2lzaZtp52qXa1drk2rzabtoe2ezZ5doI2kbajtrX2x/bZdus3AHca9zi3VLdtN4O3mPes98J34HgIODO4Wnh5uJV4srjT+Po5JPlROXs5nvm7+dT567n9+gc6B7oGugy6GnoqOjZ6Ojowuhv6Dnohelx6rLr4+zk7cDube7O7wDvUu/y8Lzxa/Hq8lHyu/Mw8630J/SP9On1SfW89jX2nfby9zr3cfeY97v38fg7+In40PkY+Wn5wvoe+nz63ftB+6X8AvxU/KD88v1K/Z795/4v/oL+3v89/6QAGwCYAQ8BgAHzAmgC0wM5A6QECwRZBI0ExAUaBYgF+gZuBusHcAfvCGUI1Qk/CZ0J8ApKCrYLMAukDAgMYwzDDSwNkA3mDjsOng8FD1QPjw/mEIIRTRINEqMTExNcE2gTPxMjE1sT7hShFTMVjBW0FbYVlxVcFRQU0RSuFNAVXRZbF5QYlxkJGPgY4Rk8GfgahBpuGf0Z4xpVGpEZlhdUFPMT0RRHFZYWyxeCF+EYGxhAGFAYTxg+GCIYBhf1F+kX0xe7F7MXuhfCF8YX1BfxGAwYFBgJF/MX4RflGA8YShhZGBwXwxelF9gYFRgTF+IX1xgbGG0YXhfCFuQWUhZnFwUXrhf5F98XqhebF7IXyxfOF8UXvRe7F7UXnhdpFxsWwhZoFgkVqxVrFWAVdxWJFZMVsBXfFfoV7xXhFesV5hWaFR8U0RThFSEVSBU3FOcUXBPPE7YUVxVLFboVKhPuEsYSPBJhEvoTpRP/E80TLhJ4EeURdxEcENsQvBC2ELoQyRDkEPQQ5RDAEJ8QixB4EGAQSRAwEAIPvQ94D0cPHw7yDsUOnw5vDiEN0A2oDbINuw2eDW0NUw1SDUANBQy/DJ8MpgyjDG4MGgvZC7oLnwt1C1wLfAvFC+0LxQtsCykLLwt7C9cL+guvCw4KZwn2CbgJmwm7CioKpwrGCngKJgooCk8KJwmUCO4IkQiACIYIgQhxCF8IRgghB/kH1Qe3B54Higd/B3YHWgcgBt4GuwbNBvUHAwbiBqUGZgYxBggF6wXRBa4FgQVcBUcFNgUeBQYE/AT7BPkE9QT0BPAE4gTHBKYEggReBD4EKAQaBA0EAAP3A+4D4QPXA9kD4gPjA94D4wP3BA0EFgQcBCwEQgRTBFoEWwRaBFcEWQRnBHgEgwSMBJoEqgS6BMsE5gUDBRYFJAU6BVIFVwU/BSMFGQUjBTMFRAVPBUwFQAVABVUFaAVeBT8FJwUbBQkE8QTpBPoFBQTpBLIEiASDBJQEnwSWBIAEcQRwBHQEZQQ4BAED2QPDA64DkQNzA1sDRAMoAwwC9gLkAtECugKhAokCcwJgAk4COAIfAgoB+QHpAdMBtwGXAXUBUgEwARMA+QDfAMUAqwCSAHsAZgBSADsAIQAE/+j/zv+y/5P/cf9P/y3/D/7x/tP+s/6S/nL+T/4n/f792P20/Y39Y/03/Q384/y5/JH8afw9/Az73Pux+4f7W/sv+wf64vq5+o36X/o3+hX58vnL+Z75bfk8+Qr42Pim+Hb4RvgU9973qvd690/3JPb29sb2mPZt9kP2GvX09dH1sfWS9XL1UvUx9Q/07vTL9KX0fPRT9C70DPPu89HzsfON82jzRfMm8wny7fLR8rXyl/J68mPyUfI+8iXyDPH38eTxz/G78arxnfGS8YbxffF08WrxYfFd8WDxYvFh8WLxZPFm8Wnxb/F58YLxh/GP8Z3xrPG58cjx2/Hu8f7yD/In8kPyXPJz8o/yr/LP8urzA/Mg80DzYvOI87Lz4fQQ9D30ZPSJ9K/01/T/9Sb1TvV79ar12PYF9jL2XfaG9q321fcA9yv3WPeH97b34PgJ+Df4a/ic+Mf48Pkb+UX5bfmW+cD56PoN+jP6XPqH+rP64fsQ+zz7YPuB+6D7vvvZ+/P8Dvws/FH8ffyp/M787v0Q/Tn9Yv2C/aD9wf3l/gT+Hv48/mD+hP6j/sD+3f73/xH/L/9T/3f/l/+2/9L/6wABAB0AQQBlAIQAowDJAO4BCwEkAUsBggG4Ad0B+QIeAk0CcQJ9AnkCdAJ3AoUCmAKpAr0C7QNVA/EElQUaBX8FzwX4Bd4FjAUuBN0EkgRPBDAERwR6BKkE0wUIBUUFfQWoBboFiQTsA+YCsQGbAN0AlQCtAOQA+gDfAKAAO/+t/yH+2v7o/xn/T/+Z/+n/4f83/hr9B/w3+5/7XPvH/Oz+NP7W/ov9qPyw++/7fvtc+237f/tt+z77Cvrb+qj6bPou+e35nvk9+Nf4c/gM95L3AfZj9cT1KfSZ9BzzsvNU8vzysfJ58lXyP/I+8lfyf/Kk8r/y2fL28wby+vLO8oHyD/F98O7wjfBo8GXwZPBa8ErwLe/777rve+9I7xru8O7f7wHvSu+F74bvT+8M7uPu2e7a7tzu3O7e7uju+u8R7ybvN+9H71rvcO+H76Pvxe/s8BXwQfBz8Kbw2vER8U3xi/HD8fXyKPJd8pXyzvML80rzifPM9Bv0dfTR9Sb1dfXG9hn2bPa79w33Zve9+A34Wfis+QX5WPmY+cb58/ol+lv6jvrC+vj7L/tk+5n7zvwC/Db8bfyl/Nn9Cf04/Wv9n/3O/fj+I/5M/nH+mP7H/vv/L/9h/5b/zP/5AB4ARQB1AKgA1QD8ASEBSAF0AagB3QIOAjwCbwKlAtQC+AMbA0gDeAOkA84D/QQsBFMEdwSgBMsE7gULBSoFSQViBX8FrAXkBg4GJgZMBpkG8wcuB0QHWQeHB7UHugeQB1sHQgdYB5QH3wgZCC4IMQhLCJgJAQlYCYcJpQnSChUKZAq+Cy0LsgwxDIYMowyeDJsMnQyHDEAL3gueC6cL7gxGDI4MxAzvDRMNMQ1PDW0Nhg2YDaYNrw2jDXENGwy7DGcMJAvrC7ULigtuC1wLSQs0CyMLFQr9CtUKqAqMCooKkgqXCpUKhwpmCjcKCgnpCdAJuQmvCboJxwm1CZQJZAlTCVoJagmHCbYJ5wn5CegJzgnECckJyAm8CbAJsAm3Ca8JjQlcCTwJOglKCVYJVwlcCXQJmQmtCZYJUwj/CLoIkwh/CGoITQguCBkIDQf8B9cHpQeEB4kHpAeoB34HPAcBBtEGlgZFBewFmwVXBSAE9gTWBK4EbgQXA7UDTgLlAn8CKQHsAcQBpAF9AUYBAQC8AIIAUgAj//P/zf+2/6n/m/+I/3b/aP9h/2L/av95/4v/nv+r/6f/if9c/zH/EP7w/sn+pv6Q/n3+X/40/g398v3c/cT9rf2a/Yj9d/1u/Wj9Sv0I/Lf8gPxy/ID8l/yy/Mj8zfy9/KP8f/xO/Bv7+Pvm+9L7vvvN/A38V/yR/N79Zv37/jj9+/2U/Vv9Uf1E/Sb9E/0W/SH9Lv07/TP8+vyf/FT8Jvvr+4r7J/r0+u366frX+sP6qPpv+hP5s/lw+Uv5OPku+R/49vio+EX35veR9z/28Pas9nH2MPXo9an1gPVh9Tz1EPTp9Mv0qvR09CTzwvNc8v7yovI08Zfwx+/d7v3uOO2T7RPstuxu7Cvr8uvT68vrv+uj64frfety61DrJ+sp623r1Owl7DvsG+vh67Hroeuh647rWesf6vjq2uqk6k/p8OmX6UDo6OiS6Drn0OdT5tfmbuYQ5azlQ+Th5IfkLePS43vjI+LC4l3h/uGs4V7hEeDE4HTgGd+8323fMN703q3eXd4K3bTdXt0U3NfcmNxP3Arb1Nuk22vbMdsE2uHavdqd2pPamtqa2oPaXtox2fjZtdl/2WDZSNku2SLZQNmE2dPaE9o92k7aR9oy2h7aD9n/2ezZ29nS2dfZ89oh2lDacdqP2rza9NsY2wvay9py2iPaANoT2k7altra2yDbadu13AfcadzZ3Undr94M3mPetN8K34DgIeDW4XXh8eJd4tTjYeQD5LTlYuX85nzm6udR57LoAugy6EboUehn6JLozOj86QLoyuh36GXo5ent6x3sLO0W7evuke7s7yTvjPBC8RDxsvIi8oHy6/Nk8+X0YfTK9ST1gvX09m/24PdA95H3yvfr+Ab4Nfh++M75GPlc+ab5+/pY+rn7F/ty+878LfyI/Nv9L/2K/eL+LP5s/rX/D/94/+wAagDqAV8BygIzAp0DBANsA9oEQwSSBMsFCgVoBd4GUgbABzAHqQgkCJoJCglyCdIKMQqYCwoLgQvxDFMMrQ0KDW4NzA4XDloOqQ8GD2IPvhA6EO8RyRKRExgTThNBExQS/hMtE6cUSBTcFUIVdRWGFYwVjxWEFVkVERTQFMsVPxZGF6kY3RllGVEZNhmYGl8a9RrwGokaURp9Go8ZwxfgFaQUOhREFWYWuxejGBEYRxhuGIcYiBh2GF0YQxgsGBgYBxf6F/MX8xf9GBMYLhhCGEoYSBhDGDkYKxgvGFkYkRiZGFIX9hfeGBYYTRg+GBUYKxiFGLEYQBdRFnsWRxa+F3gX/xgiGAIX2hfSF98X5BfaF9IX3BfzF/4X7RfCF44XWBcTFrQWShYBFe8V+xX9FfwWFhZGFloWPhYcFh0WIxX9FbYVgxV1FXQVghWtFcgVeBTHFGEU4hX1Fo0V+hSVE0wSxBMME9MUoxUGFLoT6BL6Ej4RvBFkETQRJxEmESQRKBE4ET0RIxD2ENcQzBC/EKcQihBqEDcP8g+0D4wPaQ89DwwO4A6qDmEOHg4JDhoOIA37DcYNrA2lDYgNQwz7DOAM6AzXDIgMHQvWC8ILsguCC1ELVAuKC7QLngtPCvkKzwrqCzsLgAtyCwoKiQopCegJuAmxCekKJgoaCd4J5ApcCtcKwAoNCToIugiVCJQIkgiJCHcIWAgyCA0H7AfLB64HngebB5EHZwcdBtYGuwbPBuoG4ga2BoMGXwZCBiIGAQXiBcEFmwV7BWcFWQVIBTUFKAUhBRkFEgUOBQgE+ATbBLgElARyBFYEPQQnBBAEAAP4A/AD4wPWA9UD3gPkA+cD8AQBBBIEHAQmBDUERQROBFIEUwRQBE0EUwRlBHsEiwSYBKYEsgS5BMME2QTzBQYFFQUrBUQFUAVLBTsFJAUIBP0FHgVeBYYFdAVHBTIFRAVdBWUFWwVHBSoFDgUEBQwFDQT4BNgExAS/BLgEpwSOBHcEZwRfBFoESwQwBBMD/wPvA9YDtAOVA38DbANUAzoDJAMQAvkC4ALEAqgCkQKAAnECXwJHAjECHgIMAfQB2QG+AaABfwFdAT8BJAEHAOkAzACyAJsAhABuAFgAQAAmAAv/7//R/7P/k/9y/07/LP8L/ur+yv6r/oz+af5C/hj98/3Q/ar9gP1U/Sn8/vzS/Kj8f/xT/CX7+PvN+6H7c/tG+yH6//ra+q76gvpb+jn6F/nw+cT5kvlf+S34/PjM+J34bfg9+Ar31vek93b3Sfcd9vD2w/aW9mj2O/YS9fH10/Wz9ZH1cPVS9TP1FPTz9ND0qvSC9Fr0N/QY8/zz3vO985rzePNW8zjzG/MA8uPyxPKm8o7yffJq8lPyOvIl8hHx/PHo8dfxzPHC8bnxsPGn8Z3xlvGT8ZPxk/GT8ZTxl/GZ8ZzxpPGv8bfxuvG/8cjx1fHi8fDyAvIT8iLyNPJM8mfyfvKU8q7yzvLu8wfzHvM281TzePOh88rz8fQZ9ET0bvST9LX02PT+9SX1TvV79az13PYJ9jT2X/aK9rT23vcH9y73WPeG97X34PgJ+Db4aPia+Mb48Pka+UL5avmU+b/55/oN+jT6X/qL+rj65vsT+zv7Xft9+577vvvb+/b8Efwv/FP8fvyp/M/87/0Q/TT9WP13/Zb9uv3d/fv+Fv4z/lT+df6W/rf+1/7x/wz/Kv9L/2v/if+o/8f/4v//ACIARwBkAHYAjwC5AOkBDAEjAUIBcgGpAdYB+QIbAj8CYgKBAp8CtwLFAsoCzgLVAucDFwNzA+4EZATGBScFkQXjBfYF1gWxBZ4FigVmBUMFLwUhBREFBgUOBSkFXAWrBfgF+wWEBK4DugLYAiABrAGHAY8BiwFgAQoAhP/c/1r/Qf95/6n/vP/zAFcAb//J/pf9dPy9/HL8pv2B/sj/sf+Q/n79MfxD+9H7sfu7+9H70/u0+337RvsX+uz6wPqK+kP57fmQ+Tj45fiK+Bz3mvcK9nT15PVi9Pf0oPRS9AjzxfOT83HzWvNQ81nzb/OB84nzjPOP84zzffNg8y/y1/JS8bnxOPDq8MfwufCz8K3wm/By8Dfv/u/O76LvdO9Z73Dvtu/+8BPv5u+a71TvIu8A7uvu5O7l7uzu/e8Y7zbvSu9Y72nvfu+U76jvwe/j8AzwO/Bu8KTw2vEU8VLxk/HP8gXyOPJs8qHy1/MP80rzg/O/9Aj0X/S39Qb1T/Wc9fD2RPaV9uj3PveT9+P4NviR+PH5SPmL+b/58vop+mH6lvrJ+vn7Kftb+5H7yvwB/Db8bfyk/Nf9B/07/XP9qf3Y/gP+Mf5e/of+rv7c/w7/Pv9r/53/0wAEAC4AWACJALsA6QERATUBWwGFAbcB6wIbAkgCdgKoAtQC9wMaA0YDeAOnA9QEAwQvBFQEdwSfBMoE7gUKBSgFSwVtBY8FvAXvBhYGLQZNBooG0AcABxgHPAeBB8kH5AfKB5kHfQeJB7sH+ggnCCwIGQgcCFMIqgjzCRQJIwlBCXkJwAoSCoMLIAvTDGgMuAzNDM0MzAyvDFoL5QuTC5YL3Qw2DH0MsAzbDQUNMA1bDYINnA2uDcMN1A3MDZUNOQzTDHkMMAvzC8ELnQuIC3wLbQtWCz8LKAsJCtsKqwqNCooKlgqjCqwKpQqEClIKJQoKCfIJ1QnDCcoJ1wnGCbMJkgmTCaAJpQmwCdUKAwoUCgAJ5gneCeIJ3gnPCcUJzAnYCc4Jpgl2CV0JYgllCUsJIwkbCUoJkAm3CaAJUwjyCJoIWgg0CCUIIQgeCBYICwf4B9YHrgeXB6QHwAe+B4MHLQbnBr0GkgZPBfkFpAVbBR8E8wTTBK8EcQQVA6sDQQLeAoECLQHrAb8BoAF/AU4BEADVAKcAfQBKABH/4f/A/6z/nP+Q/4T/dP9f/07/S/9X/2j/df91/2H/Ov8Q/vT+5P7O/qj+gf5k/kv+KP3+/d39y/2//a79mP2B/Wj9Uv1I/UP9Kvzw/Kv8dvxa/Ez8Tfxf/Hv8jfyQ/IX8aPwz+/n71fvE+6f7gvt9+6v75fwM/EP8vv1c/bj9qv1z/V79Z/1Z/Sj88/zX/Nn89P0V/Qv8ufxG+/377vvc+5T7Lfrd+rD6j/p1+mf6U/oY+bP5TvkN+PD45/jl+Nf4qvhZ9/z3q/dk9xX2wPZy9iz15PWe9Wv1T/U59RX06PTA9Jv0afQi88jzYvL+8qPySvHW8STwOe9B7mntvO0y7MTsbewl6+Xrtuum66TrlOtx61nrW+tb6znrC+sK61HruOv/7Ajr4euo63/rdOt462jrN+sA6t7qxuqW6kTp6OmU6UHo5+iL6C/nyudY5uPmeeYW5a/lROTg5ILkI+PE42njDuKs4kXh5uGQ4UDg8eCk4FTf+9+i31rfIN7i3pfeQ93w3ZrdRdz63Lrcetwz2/HbvduL21DbFtrr2sraptqG2n3ahdqE2m7aStob2d3Zmdln2UzZM9kW2QnZINlK2XLZn9nc2hfaLdoW2evZyNmy2Z7ZiNlz2W3Zi9nR2iTaZNqP2r3a+Nsp2zPbDdrC2m3aMdot2lzaodrl2yjbcNu83AncX9zH3Tndpt4G3l3ert8I34HgJODY4Xbh7+Ja4tTjaOQT5Mblb+X+5nPm3+dN57joEOhN6HXoj+ik6MHo7ukZ6Rbo0eh/6IzpOupb64LsdO1G7g3uqe8B70fvyvCW8WPx9vJX8rXzJvOl9Cj0ovUI9V71u/Yt9qn3G/d999L4FPg7+Ff4gvjF+RL5XPmh+ej6NfqN+u37S/uj+/z8Xfy//Rr9b/3K/iL+av6n/uz/S/+/ADwAuwE0AaECAgJfAsEDLAOeBBIEeQTHBQkFWgXHBkIGsQcQB24H2ghWCNEJPgmeCf4KbArkC1oLxgwrDI0M7Q1MDawOAQ5BDm8Oow7vD1YP2xCEEVESLRLtE14TZxMiEuIS+BNwFAwUjhTjFRwVRRVnFYwVrhWyFYsVXhVeFacWQBcyGGIZcBn3GgMaDxp6GxUbahtEGtwahhphGjUZkxgvFkcUuBRdFUYWrxfBGEIYeBilGMUYyBi2GKUYkRhyGFMYQxg+GDcYMBg7GFoYdhh+GHgYeRiCGIEYcxh0GKEY3RjmGKIYShgwGFkYfBhvGGkYqBj7GNIX8hbaFlAWoBdoGBEYVhhTGDoYKBghGBwYDBfwF9sX3hf1GAcYBxf6F+oX0hegF0sW6BabFnkWcRZvFnwWrBbqFv8W0RaMFmIWVRZKFjwWMRYaFfYV/xZfFsIWjBWoFN4U9RW9FjMVrBR7E3cTKBOFFD8U8xU7FOYUHRM+EogSCBG8EacRtxHDEbwRthG7EbARfxE/ERYRDBECEOsQzBCpEHUQNA//D90Pvg+RD1wPKQ7wDq4Ofw5+DpgOmA5nDiQN9g3bDa4NYg0WDOsM2gy3DGoMEgvgC9gLzAuZC1wLQgtQC18LTgsfCuAKqQqdCtILIAs8CwkKrgpdChoJ4AnGCdIJ0gmZCWYJpQpYCugKygoRCUgI1AivCKkIqAijCI8IawhGCCoIDAfnB8UHuAe3B6YHbwcfBtwGxwbZBuUGyQaRBmQGUwZLBjYGEgXuBc8FswWbBYgFeAVnBVgFTQVCBTYFKwUlBSAFEQT1BNIErgSRBHkEYAQ+BBoEAAP2A/MD6gPdA9gD3gPnA/ED/gQLBBYEHwQsBDsERARGBEYESQRMBFQEZQR/BJYEpgSyBLwEvgS7BL4EzwTkBPMFAwUaBTAFOwU+BUAFMgUNBPkFKgWQBdgFwwVyBTYFOQVgBX4FgQVuBU0FLgUeBRsFGgUaBSQFMwUxBRAE3QSyBJUEgQRwBGMEVgRGBDgELQQcA/4D2AO5A6MDkQN8A2YDUwM/AycDDQLxAtUCugKnApcChQJtAlUCQQIrAhQB/AHoAdEBtAGUAXYBWgE9AR0A/QDfAMMApwCNAHQAXABDACgADP/w/9P/tf+U/3D/TP8p/wf+5v7I/qn+h/5g/jf+E/3v/cj9n/10/Un9HPzu/MH8l/xr/D/8FPvq+777j/tj+z/7Hvr7+tH6pvp++lv6OPoT+er5uvmG+VH5Hvjv+MD4kvhk+Db4BPfQ9573cPdE9xn27vbB9pD2X/Yz9hH18/XU9bH1kfVz9Vb1OPUY9Pf01PSu9In0Z/RJ9C30D/Px89LzsvOQ827zUPM18xfy9/LY8r/yrPKZ8oHyafJT8j/yLPIa8gzyAfH38e3x4/Ha8dDxyfHH8cjxyPHH8cnxzPHN8c7x1PHe8ebx6PHq8fHx+vIF8hTyJvI38kbyVvJs8oTym/Kw8sry6PMG8yHzOvNT83DzlPO+8+X0BvQo9FH0fPSg9L703PT/9Sf1UfV+9a713vYJ9jL2XfaJ9rf24/cL9y73VPd/96732/gF+DD4YPiR+L/46vkU+T35Z/mT+b/56PoQ+jr6Z/qU+sD67PsV+zr7W/t8+5z7vPvb+/n8F/w2/Fb8fPyk/Mv87v0Q/TH9UP1t/Yz9r/3R/fD+D/4u/kn+Yf5+/qL+x/7n/wb/J/9H/2D/ef+X/7X/0f/wABcAQQBgAHIAiACtANwBBAEiAUABZQGRAb4B6QIPAi0CSgJxAqQC2AL+AxQDIAMoAzgDYQOwBBMEaQSmBOIFLgV3BZ4FqQW5BdUF6gXlBcoFnwVoBTIFEgUPBSEFUQWoBf8GCgWuBR8ElQQLA2cCxQJaAi0CFAHmAY0A+wBH/87/0gAdADoAJQBMAM8BEABy/yv+C/2f/dX+bv88/+3/+f8j/dD8r/wa+/T7+Pv++/z77PvO+6f7evtL+yD6+/rO+pD6Rfn8+bf5Z/kG+Jf4H/eh9xz2mvYk9cH1cfUp9Ob0rfSG9G70WfRA9Cz0IvQd9Bj0EfQI8/vz5vPN86nzavMG8ovyFPG18XDxQ/Eq8R7xD/Dv8MHwkPBk8DjwCu/q7/LwKPBs8I7wevA/7/Pvo+9V7xju8+7j7uLu7+8N7y/vR+9X72zviO+g763vvO/W7/zwK/Bf8Jnw1PEQ8U7xkPHQ8gryQfJ48q7y5PMd81bzjPPD9AT0UPSd9OD1IPVn9bn2DfZg9rX3Dvdn9774Gfh4+NX5JPll+aD53/ol+mr6qvrf+wz7Nftk+5v71fwL/D/8c/yq/N39Df1A/Xj9rf3b/gj+Ov5v/p/+y/74/yf/U/98/6n/3QASAEMAcQCiANMBAgEvAVsBhQGuAdsCCgI1AlwChQKwAtkC/AMgA0wDfAOqA9YEBQQxBFYEdwSeBMgE6wUHBScFUAV6BaEFyQXzBhcGMgZUBocGvQbhBvYHGQdYB50HxQfDB6wHmgefB70H5ggHCA0IAggGCDEIdgivCMoI2gj6CS0JZAmbCe8KggtNDBkMqAzrDQINBgznDIkMBQuiC5UL0wwqDHAMoQzKDPcNKw1gDYgNnw2xDckN3Q3RDZYNPQzdDIUMOAv7C9ILugusC58LjAtxC1MLNQsRCuEKsAqTCo8KngqyCsMKwQqgCm4KRwo0Ch4J+QneCeMJ8AngCeMJxAnKCdkJ1wnXCfAKEwofChAJ/wn8Cf0J8wngCdYJ2wnjCdsJvQmcCY8JlAmLCV0JJAkTCTwJegmUCXQJKQjQCHwIPAgaCBcIIggjCBIH+AfgB8kHsAefB6EHqweYB1QG+Qa0BpEGcwZBBfkFrwVqBS0E+wTUBKsEbQQUA64DTwL6AqkCWQISAd4BvQGdAXEBOQEEANcAqABtACn/7v/C/6T/lf+V/5n/j/9w/0f/Kv8g/yT/Jv8b/v3+0f6o/pL+i/5//mb+Sf4w/hP97v3M/bf9rf2h/Y79ev1o/VL9O/0q/Rr8/vzR/KP8fvxa/DL8FvwY/DH8SvxY/Fn8Q/wQ+9n7u/uu+437V/tC+2n7pPvC+9z8Lvy0/R39O/00/T39Uf1G/RL81fyt/Kf8wPzd/Mn8b/wE+9f76/vw+6v7NfrN+oX6T/om+g758fmt+UP43fig+In4gfh7+Gf4Nvfq95r3WPcX9sT2ZvYO9cH1d/U59RX1B/T39Nb0rvSK9GP0J/PQ82rzAfKe8kPx5/Fm8KTvr+697fvtaOzt7H7sI+ve663rkeuJ64Pra+tF6y/rMOsn6v7q1ern6z7roOvS68zrrOuI62zrWutP6zrrEOri6sLqp+p36ivp2OmN6UDo5OiA6B/nvudV5ufmfuYZ5bHlSOTi5IDkHOO441fi+eKX4jHhz+F14SLg1OCK4D3f5t+P30jfDd7L3nveJt3V3YTdM9zp3KfcY9wc29zbqNt02zja/9rX2rjaldp32m7ac9pv2ljaNdoG2cTZgdlT2TrZHtj+2PDY/9kQ2RbZMtmA2eDaFNoA2cjZlNl02V/ZR9kn2Q7ZItl32ezaTNqG2rba7tsi2zrbMNsG2sHaeNpU2m/astr42zXbdNu52//cS9ys3SDdlt383lTep98F34PgJuDV4W7h5OJP4s3jaOQY5MzlceX55mrm2edQ58boKeh46LXo3+jx6PrpE+k16TDo6OiU6KnpZ+qV673sq+117jHuxO8g73vwGfDz8bjyN/KK8ufzX/Pk9Gf03PU79Yv16fZi9uX3W/e9+BT4XfiP+LP43fkV+Vb5m/nj+iz6d/rJ+yf7h/vh/Dn8mfz9/Vr9sf4K/mP+r/7v/zn/nQAWAJMBBwFyAdQCLAKCAuMDVgPVBE0ErgT6BUYFqQYiBpwHAwdYB64IGAiXCRQJeQnJCiQKmgsdC5ML9wxaDMcNMQ2ODdsOGg5IDmwOlQ7aD0wP8hDBEaMSfBMsE4oTfhMtEvwTOxPSFGEUrhTSFP4VOhV7FbcV2xXOFaYVuxZKFyYX+hiwGWgaFhqFGr0bChuLG/Mb8RuSGxkaoBoiGawZLBhGFsMVLBSDFToWrxfiGHIYrRjkGQwZCxj2GOwY4Bi/GJcYhRiGGIQYfxiLGKkYvRi5GLEYuBjDGLkYpxiwGOIZExkGGLYYYhhNGHQYoBi7GO4ZSRlsGNoXpBaVFnEXLxgZGJQYnRiEGHcYcBhkGFUYPhgaF/MX3BfdF+gX9RgGGBUYEhfwF7EXYxcWFtsWvBbAFuwXOBeCF5cXYxcIFrsWlRaRFqIWsRafFnsWjRb9F24XOxZGFT0U3hUXFTUUwBP2E2cTWRO3FEUUuRTQFHgT4xNQEtQSaxIoEiMSRRJZElMSVhJpEmASGBGxEWgRTBE/ESwRExDyEL8QgBBLECoQDQ/jD7MPfw9BDv0O0Q7QDuIO1g6eDlcOHg3wDbUNZw0ZDOEMugyODFUMHgwBC/gL4guzC4ELYQtOCzcLIAsQCvoK0wq0CsUK/QsnCx0K6wqnClgKDgnrCe0J2wmWCWMJngovCooKTQmqCRgIzgi3CLIItgi3CKYIhAhlCE0ILAf9B9cHzAfMB7cHfwc1BvoG4wbpBuoGygaSBmYGWAZXBkcGJAX8Bd0FyAW2BaQFkQV/BXEFZQVZBUkFPQU4BTQFKgUUBPUE1gS8BKYEiwRiBDAECwP9A/sD9APnA98D3wPnA/QEAwQPBBgEIQQwBD4EQgQ+BDwEQARJBFsEdwSVBKsEuQTFBM0EyQS/BMIE1QTnBPEFAAUXBScFKAUqBTUFNgUbBQsFPgWpBfUF4gWQBVQFVAVzBYgFhgV1BV4FSQU8BTMFLgU3BVkFgAWFBVsFHQTuBNQEwASrBJkEiwR8BG4EXQRHBCUEAAPhA8oDtgOiA5IDggNvA1YDPAMiAwUC5wLOArsCpwKOAnUCYAJLAjUCIQISAgEB5wHJAawBkgF2AVYBNQEUAPIA0QCxAJQAeABcAEAAJgAM//D/1P+0/5P/cv9Q/y7/Df7t/s3+qf6C/lv+Nf4O/eb9vP2S/Wj9Ov0L/N38sfyG/Fr8MfwJ+9/7svuH+2D7PfsZ+vD6xvqe+nf6U/ow+gz54fmv+Xn5RPkT+OP4tviM+GL4NPgA98r3l/dp9z/3Fvbq9rr2iPZb9jb2GPX69dn1u/We9YL1YvVC9SL1AvTh9MD0ofSE9GX0RfQn9Avz7fPL86jziPNr803zL/MR8vfy4fLL8rPymvKD8m/yXvJP8kPyOPIu8iPyGPIN8gPx/PH78fzx/PH78fzx/vH+8f3yAPIG8gzyD/IS8hnyIfIq8jjyS/Jd8mzye/KM8qHytfLL8uTy/vMZ8zfzVvNy84/zsfPZ9AD0H/Q/9Gf0kvS29NL07/US9Tn1YvWN9br15fYM9jP2W/aG9rP24PcJ9yv3Tvd496j31/gB+Cv4WPiJ+Ln45fkR+Tz5avmZ+cX57voW+kH6bvqa+sP67fsV+zn7W/t8+537u/vY+/n8Hfw9/Fv8evye/MX86/0P/S79Sf1k/YL9of2+/dz9//4i/j3+Uv5r/o7+sv7S/vT/Gf88/1f/cP+O/6z/xf/eAAEAKQBOAGsAhwCnAMsA8AEVAToBWwF9AaYB1AH/Ah8CPAJkApoC1QMKAzUDVwNxA4QDogPbBCkEbwSbBLgE2wUIBTcFZgWZBccF5QXuBeYFxwWSBV4FRQVIBVwFiAXSBhIGCQW6BW0FRgUQBIsD1wNEAvECwAKQAkQBvwETAJ0ApQDiANEAfAB/ARIBiQEZ/+f+5f66/z3/2wAl/+n/IP4D/QL8cPxD/D38NPwi/An77/vb+8j7p/t1+0T7H/r6+sX6i/pX+h/5zvll+PT4ifgg97T3Svbn9o32O/Xw9az1dPVO9TX1F/Ts9Lz0l/SB9HP0aPRc9Ev0NPQV8+zzuPN28yzy3vKM8jnx8/HE8anxk/F08U3xHvDt8L3wlfB/8IfwrPDd8Prw9vDT8JjwQu/Y72/vIe7z7uLu6u8G7yjvQO9R72vvjO+l76/vt+/K7+vwFPBG8IHwv/D+8T3xgPHC8gHyP/J78rby8PMr82bznfPS9A30UPSP9MT09vU09YD10vYm9n322Pc195L38fhO+KD45fkk+Wf5tvoM+mL6r/rs+x37Svt9+7X77Pwd/Ez8gvy9/Pf9K/1c/Y/9v/3r/hj+Tv6J/r3+6v8T/z3/ZP+J/7L/5AAbAFIAiAC8AO4BIAFVAYsBvAHlAgsCMAJTAnUCmQLBAukDDQMyA1sDhQOsA9QD/wQrBE8EcQSVBLsE3AT5BR4FTgWCBa4F0gXzBhQGOQZoBqEG2Qb+BxEHIgc+B2EHfgeMB44HjgeRB54HtQfPB+IH7ggCCCoIXwiLCKcIwAjqCR4JSAlkCZMKBwrMC7AMaQzSDP4NDAz1DKYMLQvGC6YL0AwcDGUMnAzIDPQNJg1XDXsNjw2jDbwNyg20DXsNNAzpDJkMSAwIC+QL1QvJC7cLnQt9C1wLPAsYCusKvQqfCpoKpwq9CtAK0Qq0CokKbgpjCkwKIQoDCgwKIAoRCh8J9wn0Cf8J/Qn7CgwKIwoqCiEKGgobChcKCAn2CesJ5gnjCd0J0gnHCcAJuAmfCWoJMAkXCSYJQAlACRsI4AigCGUINwgjCCcILwgjCAIH3gfHB7wHqweTB30HbAdSBx8G3gaqBocGZAY0BfwFyAWXBV8FIATgBKAEWAQEA64DXQMTAsoCfwI5AgMB3AG5AY4BWwEoAPgAwQCAADn/+P/F/6L/lf+f/7H/rv+K/1D/GP7y/uD+1v7G/qb+ef5N/i3+Gf4K/f/9+P3t/dT9tP2d/Zf9k/2C/Wr9WP1N/T39Jf0L/O/8z/yt/JP8fvxb/Cb79/vp+/f8Dfwf/Cf8Fvvk+637kvuM+3D7Ovsd+0D7f/ue+6b70vwy/JT8yfzf/Pr9Ff0R/Or8uvyd/Jr8qPyr/ID8KPve+9r8BPwE+637Kvq9+nL6Lvnn+an5bfka+LD4U/ge+Ar3/vft99P3qPdw9zj3Ava/9mL1+PWa9Uz1CvTZ9MP0u/Sp9IP0WvQ49BDzzfNv8wfypfJI8evxf/Dn8BPvHu4/7ZftGOyi7C/r0+ub64Hrdutv617rPesW6v3q7erN6p3qiurE6zTrk+uu65frfOts61nrPOse6wXq5+rF6qXqg+pT6hDpx+mB6TXo2+h36BPnsedM5uTmf+Yc5bXlTeTm5IDkF+Ou40ri7OKK4iXhv+Fh4QzgweB74C7f1d973zDe8N6p3lfeA9223W3dI9zc3JrcU9wJ28jbk9te2yLa69rG2qnaiNpr2mLaZNpd2kfaJdnz2bDZbtlF2TDZFdjy2OPY69jr2N3Y69k62ajZ8Nnw2cDZhdlR2SnZB9jf2LzYy9kr2bvaNdp+2rXa8dsg2zbbPds42w/awNp82nvaudsA2zbbZ9uk2+bcLNyG3Pzde93r3kfent8C34TgJODN4WHh1+JF4sbjZeQX5MrlbOX05mnm3ude597oT+iw6QLpOelI6TzpPOlO6UfpAOik6KnpV+qE677sw+2b7lXu5O9K77zwbvFG8fnyZPKt8wvzh/QR9JX1B/Vh9a32C/aL9xr3m/gE+F74qvjj+Q75N/lk+Zf50/oc+m36vvsQ+2v7y/wn/H/82/08/Zn98f5L/qf+/f9I/5n//gBzAOUBSwGmAf0CUAKmAwoDhAQLBIUE4wUtBX4F5wZdBs8HNAePB+8IYQjjCVwJtQn5Ck0KxQtIC7oMHwyODQwNfQ3HDfAODQ4vDl4OnA7xD20QHhD+EewSwRNgE7ITqxNwE1wTqBQsFI8UshTLFQcVWRWkFd0V9BXYFcIWLBdJGKMZlhoEGkMajhrVGx4bmBwzHIYcVRvfG2Ya0RoFGUgY1xhPFx0VhBSiFTYWtRgCGJ8Y4BkgGU8ZShkuGSYZIhkDGNgYxhjQGNkY3hjtGQMZChkAGPsY/hj0GNwY2RkGGUEZRBjvGHIYHxgeGFoYohjsGUkZnhmFGLAXcxamFtkXvhiKGMwYtRifGJ4YlRiBGHUYbRhVGCwYBxf1F+4X9RgKGCAYIxgPF+4Xvxd5FygW9Bb6FzIXexezF8IXnhdXFxIW6BbgFuwW9hbqFtYW7Bc/F4kXVRaMFZgU8xSqFG0UDROkE2wTgBPaFFMUnxSAFA8TnhNaEyIS1hKXEpMSsRK8ErgS2xMgEzQS3BJGEcsRjxF3EWMRTREvEP0QvhCKEGoQUBAwEAoP2g+XD0oPEA76DvQO2A6hDmcONw4HDccNew01DP0MzwyiDHYMUgw4DB0L9QvIC6cLkwt1C0oLKgslCyULCArZCsAK0Qr4CxsLKwsSCsQKYgosCioKIQnkCakJuQoBChwJ1QlgCQgI3AjECLgIvgjHCLwIpAiOCHUISQgQB+oH4gfiB80HngdiByoHAwbyBugG0gaqBoIGbAZjBlQGNQYQBfEF3AXNBb0FqQWVBYUFdgVkBVEFRQVCBUMFPwU0BSEFCgT0BN4EvgSNBFMEJgQRBAkD/wPyA+gD5gPqA/QEAgQPBBkEJAQ0BEAEQgQ+BDwEPwRIBFwEeQSXBKwEvATNBNcE0QTEBMkE3wTxBPcFAQUVBSIFHwUdBSwFNgUpBR4FQwWNBb0FrgWEBXcFigWZBZAFewVrBWQFZAVlBVsFRgU9BVUFewWFBWIFMQUTBQcE+AThBM0EvgSvBJwEhwRvBE4EKgQLA/ID3QPLA74DsAOcA4IDaANPAzIDEQL2AuECywKyApgCgwJuAlgCRAI1AiQCDgHzAdoBwQGnAYkBagFIASQA/gDaALkAmQB5AFsAQQAoAA7/8f/U/7f/mv96/1n/Nv8V/vL+zv6n/n/+V/4u/gP92f2w/Yb9Wf0r/P780fyk/Hj8UPwq/AL72Puu+4f7YPs4+w/65fq7+pL6bfpL+in6A/nW+aP5bvk6+Qn43Pi1+JD4Zvgz9/r3w/eS92b3PvcW9ur2u/aO9mf2RvYo9gr17vXT9bf1l/V29Vf1OPUY9Pn03PS+9Jz0evRa9D/0I/QC89/zvfOe84DzZPNK8zDzGPMA8ufy0PK68qbylfKI8nzycPJl8lryT/JF8jnyMfIv8i/yLvIs8iryKvIo8ibyKPIt8jLyNvI88kPySvJS8l7ycPKC8pHyn/Kv8sDy0/Lp8wHzGPMx80/zcfOQ86vzyfPt9BT0NvRY9H/0p/TK9Oj1B/Ur9VH1ePWg9cn18PYV9jn2X/aG9rH23fcH9y33Ufd796r32PgC+Cz4WfiI+Lj45vkT+UH5cfmh+c359Pob+kX6b/qX+r/66PsQ+zX7WPt7+5z7ufvW+/j8HvxA/F38e/ye/MP85/0I/SX9P/1b/Xn9lf2s/cX95/4N/i3+R/5j/oT+ov68/tv/Af8n/0j/Zv+H/6b/vv/T/+4ADwAyAFkAfgCeALgA1QD9ASgBTQFvAZYBwgHsAhACNgJjApUCyQL9AzMDaAOXA7wD2gQABDcEcgSaBKYEpwS6BO8FPQWJBboF0AXhBfgGBAX0BdAFrgWaBZQFrAXgBgkF+AXEBbUF1gXVBXEE0QRKA/MDsgN4AzUCwwIfAaUBngG7AWcAswBoAPQBtQG5AOQAAv/AAAQAOP/q/xP9/v0W/KP8j/yS/H78XvxC/CT8Avvp+9z7wvuR+177OfsT+t/6q/qF+l36Gfm9+Vz5APil+En38/eh90z29vai9lT2D/XY9az1ffVD9Qj03PTA9Kr0lvSG9Hr0ZvRD9BTz4vO285PzbvM28u3yqPJ18k/yKvH/8dHxnPFh8SvxDPEK8R7xPPFX8WPxW/FF8R3w1fBk7+Dvbe8j7wPvBe8c7zfvS+9c73Xvk++p77Dvtu/H7+PwBPAv8GTwofDf8SDxZvGr8fDyNfJ58rry9/M083HzrfPl9CD0XPSR9Ln03/UR9VX1o/X29kv2ovb791X3sPgH+FH4kfjS+R/5ePnX+jX6ifrP+w37S/uN+8z8Avws/Fj8kvzX/R39Wv2M/bj94f4J/jf+bv6p/t3/B/8s/1H/df+Z/7//7gAkAF4AmQDRAQYBPQF2AbAB5AINAi0CSgJmAoMCpwLQAvkDHwNEA2kDjgOwA9QD/AQlBEoEbASPBLEEzwTtBRYFTAWGBbYF2gX4BhsGSQaEBscHBgc0B0sHTAdFB0MHTAdcB20HeQeCB4sHmweyB8wH5ggECCgITwhyCJAIsQjeCRAJMwlECV8JtQpeCzUL9AxsDKYMvwzDDJ8MVAwBC9IL2wwPDFUMlgzJDPMNGQ08DVcNbA2HDaINpg2GDVQNJQz0DK8MWQwSC+4L4gvWC8ALoguBC18LPwsdCvUKywqtCqEKpwq4CswK0wrDCqkKnAqWCnsKSgosCj4KXApSClIKIwoXCh0KHgofCiwKPApACjsKNwoyCiUKFAoGCfwJ7AnaCdMJ2QndCdMJuQmRCV8JLwkPCQMI+gjnCMcIoQh9CF4ISQhCCEMIOwggB/cH0we/B7UHoweAB1cHNwciBxAG+QbbBq8GdAY1BggF8wXiBbUFZAT9BJcEPQPtA6MDWgMPAscChQJNAhsB7AG9AYwBWwErAPcAvAB6ADj//P/L/6j/m/+m/7j/t/+V/1n/Ff7c/rf+of6O/m/+RP4T/eL9tP2T/Yz9mv2k/Zj9gP11/Xn9eP1k/Ur9O/0z/SL9Bfzl/MX8pPyH/HX8ZvxI/Bj76vvS+9D71/vj++/75Pu1+3n7WvtY+0z7JvsP+yv7Y/uE+4n7ofvk/DT8avyN/LP81vzc/MD8n/yS/Jn8m/x//Dz77vvM++r8E/v5+4r7BPql+mP6E/mn+Tr42vh8+Br3x/eZ94X3dPdc9z73IPcE9uj2vfZ09gv1mvU69O/0t/SS9ID0c/RU9CTz8/PM857zVfL28pXyQfHw8ZHxEPBc73fuiO297SrsuOxH69rriutl613rWOtJ6y3rCurk6r/qleph6jrqTeqv6zTrjOuS62vrTetE6zXrEurr6tLqv+qm6oXqYOo06fvptulu6SLoz+hz6BDnqedC5t7mf+Ye5bnlT+Tn5H/kFeOq40bi6OKJ4iLhuuFY4QLguOBx4CDfxN9n3xfezt6C3i/d3t2V3VDdDdzM3IzcRdv627fbgNtK2xDa3Nq52pzaetpg2lnaXNpW2kDaHNnl2Z3ZWtk42SvZF9j32OXY59jf2MnYzNkL2WvZuNnV2cPZh9ky2OPYrtiH2GvYgdjv2ZDaGtp12sHbDts920PbRdtU20Ta89qQ2nPap9ru2x3bRNt828HcBtxa3M7dVt3R3jXekN7533vgGOC94VLhzeJA4sTjY+QS5L7lXeXq5mvm7ed46AHofejr6UnpiemY6X/pZOla6UXo/Oid6I3pIupI65rsxO2z7m7u++9u7/fws/GA8h7yevLC8yTzo/Qs9LD1JvWF9dT2Mvaw90H3yfg8+J/48Pks+Vn5gvmr+db6CfpR+qn7AvtW+6z8Cfxl/L39Ff1z/dL+Lv6K/ur/Sf+i//oAWgDEASwBiAHbAi0CgQLaAz8DuQRBBL0FGwVlBbMGEQZ3Bt4HRAevCCEInQkeCZIJ5goqCoIK+At2C+IMSwzKDVANtA3dDeEN6Q4UDmgO1w9LD8gQaxFBEi0S/ROPE9sT5hPRE9UUFBRqFJ4UtRTiFTQVhBW3FdsV8BXpFgQWuxgnGawakBrCGrkawxrYGwkbhxwxHIwcZRwMG7UbGxoXGR8YqxhWF04VrBSnFSkWthgYGMIZChlRGYUZgBljGVwZWxk/GRYZCBkYGSoZNxlHGVQZUBlGGUMZORkXGQEZMRmeGd8ZlBjXGCAX0BfnGCgYaRitGPwZLxj5GD8XZhcOF3kYPBi9GM0YtRiyGLQYnRiCGIAYjBiIGHIYYBhSGD0YKRgmGCsYJxgcGBcYCRfVF4IXRRdAF18XeheGF4sXiBd0F1cXPRcsFx8XDxcBFv0XChclFzEXBhaUFfAVQBSlFDIT7RPFE60TvxQkFLwVERTLFCIToRN6E2YTLBLvEuYS9RLqEuUTLROvE+wTkRLWEjER1xGrEYkRaRFKESMQ9xDUELwQohB/EFYQJg/iD5APSQ8eDv0O0Q6fDncOWg4yDfYNsQ12DUcNGgzqDLwMlgx1DEsMFgvkC8YLtQudC3cLWAtOC0ILGArUCpcKfwqZCugLTAuBC1AK3QqECmwKXwooCeMJ0AnwCgIJ4wmoCW4JNwkBCN4I1wjYCMwIvAixCJgIZQgqCAkIBAf+B+MHugeKB1AHFQbrBtkG0Qa+BqAGgwZsBlkGQgYmBgoF9AXjBdMFwAWsBZoFhQVsBVUFSgVMBVMFVwVYBVQFSAUzBRgE8QS6BHoERgQoBBgECgP+A/cD9QP1A/kEBAQSBB8ELAQ5BEAEQQRABEMERwRMBFoEdASQBKQEtgTNBNsE1ATFBMcE3gTxBPYE/QUPBR4FHwUgBS8FPQU7BTYFRwVkBWwFYQVqBZYFwAW+BZcFcwVmBW8FhAWXBZIFbQVIBUUFXAVkBUoFKwUfBR8FEgT4BOME1gTKBLsEqwSXBHkEUwQwBBcEBAP1A+kD2gPEA6oDkwN7A14DPQMfAwkC9ALbAsECqgKUAnsCZAJRAkACKwIWAgEB6wHRAbQBlgF2AVIBKwEGAOMAwQCgAIAAZQBKAC8AEv/3/9z/wP+g/37/W/84/xX+8P7J/qH+ef5O/iL9+P3P/aX9ef1O/SL89PzF/Jj8b/xJ/CL7+vvU+677h/te+zT7CPrd+rP6jfpp+kb6Ifn3+cf5lPlf+S35Afjd+L34l/hn+C739ffB95X3bvdJ9yH29/bL9qL2fvZe9kD2JfYL9e71zfWs9Yv1avVJ9Sj1C/Tt9Mz0qfSK9G70UvQz9BLz7/PP87Hzl/N/82jzT/M28x7zCfL28uPy0vLD8rfyq/Kf8pTyivJ/8nPyavJl8mPyYPJa8lXyUfJP8lDyU/Ja8l/yY/Jp8m/ydPJ68oTyk/Kj8rLywPLP8t/y8vMI8yHzOfNQ82zzjPOq88Lz3PP99CP0SfRv9JT0uPTZ9Pj1GfU+9WP1iPWv9db1+vYe9kP2aPaO9rT23/cL9zT3W/eG97P33vgH+DH4XviN+Lv46PkV+UT5c/mh+cz59Pod+kb6bvqS+rj64fsL+zD7Uvt1+5f7tvvU+/X8Gvw7/Fn8e/yf/ML84Pz8/Rf9Mv1O/W39iv2h/bb91P33/hr+Ov5b/n3+l/6u/sn+7v8T/zT/Vf92/5T/rf/H/+P//gAaAEAAawCOAKYAvwDkAQ8BNwFeAYgBsgHYAgECMAJkApQCwgLyAyUDWwOYA9UEBQQqBFEEgASiBJ8EgAR3BKcFBwVmBZ4FtwXWBhIGVAZxBlQGDQW7BX4FbwWKBagFrQW2BfQGTQZkBhAFkwU8BQwE2gSeBFkD4wM0AqQCgQJ6AekA2AAxAKIBtwJdAhMBRACKABD/oP8A/i/9Zvzr/NX85fzV/KL8fPxt/FX8KPv/++j7zvui+3T7T/sk+u76wPqq+pj6b/oz+fH5p/lO+PL4nPhI9+r3hvcm9sr2cvYk9eT1qPVo9S/1CfTu9M/0sPSe9Jr0kfR19Ef0F/P08+DzzPOo83bzR/Mi8vvyxfKK8lTyHfHe8aTxifGS8azxxvHT8dDxvfGj8YHxRvDb8E3vx+9u70jvRu9U72Xvc++B75Tvqu+477zvwu/T7+vwB/Ar8FnwjvDG8QbxTPGW8d/yKfJ08rry+PM083Pzs/Py9C/0aPSW9Lj02fUH9UX1j/Xe9i/2f/bN9x33bve9+AX4SPiR+OP5PfmY+fH6RPqR+t37LvuD+8/8Cfw0/GL8nvzo/Tf9fP2z/dz+Af4o/lj+kf7L/v//Kv9Q/3f/nf/E/+wAGABJAH0AtADsASQBWQGOAcIB8wIbAjsCVAJtAosCsALcAwcDLwNVA3gDmwO/A+QEDAQ0BFsEgASjBMME3wT/BSgFWwWPBb0F4gYDBisGXwabBtgHDwc8B1gHXgdRB0IHQAdNB2EHcweEB5QHpQe2B8sH5QgBCB8IPQhcCHkImQi+COMJAQkUCS0JbgnsCpkLQwu/DAkMOQxkDH4MdwxQDCAMBwwUDEUMgwy5DN4M+A0MDSANOg1dDXkNdA1LDR0NAAzkDKoMVwwRC+8L5AvXC8ELpAuEC18LOwsZCvYK0wq1CqUKowquCsIK0wrUCs0KygrECqQKbApMCmAKhAqBCmMKQAo2CjkKOwo9CkcKUQpRCkkKPQosChUKAgn5Ce8J1gm6CbEJvQnGCbYJkQllCTwJFwj1CNkIxAiyCJ8Iigh1CGgIZAhjCFoIQwgfB/gH1ge/B68HnAd/B1wHPQcuBy0HLgcbBuQGjQY6BhEGFQYfBf0FnwUbBJkEMgPiA5oDSgL1AqoCdgJQAiYB7AGqAWsBNwEFAMwAjQBOABf/6P++/5//kf+U/5v/lf96/0n/Cf7K/pr+fP5j/kT+Hf3w/bj9df09/Sz9Qf1Z/Vj9Sf1G/U/9UP0//Sv9IP0X/QD84PzB/Kb8h/xo/FD8Pfwn/Aj76vvS+737q/un+7L7sfuO+1X7Lvsn+yf7GfsO+yD7SPtj+2z7f/ux++78HPw//Gn8k/yg/In8bfxs/Hv8d/xE+/X7u/u8++n8AfvM+1P61vqA+j353flY+ND4YfgD96j3V/ck9w72//bl9sf2sPak9pf2cfYk9bn1SvTs9Kf0dPRR9Dn0HvPx87bzfvNN8xXyxvJm8gzxw/F/8STwlu/Q7uTt/e1B7LnsTevq65DrVes/6zvrMesZ6vrq2Oqw6nzqP+oN6gbqQuq56zjrfut460zrKusf6xHq7+rG6qnqlep96lzqOeoV6eTpoulW6QzoxOhz6BLnpuc75tnmfOYb5bTlSeTi5H3kFuOt40ri7OKM4iThu+FZ4QPgteBn4BHftd9b3wfet95i3g3dvd113TLc8dy13HrcN9vw26/bd9tA2wba1tq02pPabtpS2k7aV9pV2kHaGtnc2YvZRdkm2SPZGNj92OjY4djV2MDYvdji2SPZZtmZ2abZbdj22IDYPdgk2BvYQNi12V7Z9Npj2tLbQdt6227bWdtk21vbBdqL2lbagtrL2vfbGNtR25vb4twz3KbdMt223iHegt7t32zgAuCl4T7hweI44r3jW+QD5KflQeXW5mrnAeeZ6Cvorekc6XrpvunU6bjphulY6Sno3uiI6Hjo/+oe637swe287nTvAe+G8Cfw6vGq8jfyj/Le80fzxvRI9Mj1RPWy9hD2bvbg92H34/hb+Mn5Jflm+ZT5wfnw+h76T/qR+uf7Q/uX++f8O/yT/Or9Qf2f/gD+YP6+/yD/iP/tAEwAqAEJAW0BygIfAnECyQMmA4oD/AR9BPgFWgWkBecGNAaJBucHUgfFCD0IuQk1CaUKAApSCrgLNAusDBIMewz4DWwNrQ23DbENzA4hDqwPTA/aEE4Q0hGMEmgTKxOtE/QUFhQoFEEUaxSVFK8U0BUVFWsVoBWvFcYV9BYrFo4XeBjmGkIa7hr0GskaqhqSGqYbJBvbHEUcNhwEG9MbPhoVGPIYbhghFyQVhBSAFQ8WsBgnGN8ZLhl5GbEZtBmgGZ0Zmxl9GVUZSRlZGWoZdRmAGYUZfxl8GX4ZbRlFGUcZsxpSGoIZ6BjcGBEX3RgBGB4YGRgVGCgYNhgVF8YXixeuGCgYpBjXGM4YxxjVGNAYqxiMGI0YmxibGJgYoxiqGJIYZxhJGD4YMxgqGDIYOxghF+MXrRebF5MXdxdYF1YXbheDF4UXeBdfFzcXDhb7Fv8W/xbnFscWshaWFj8VkxTKFEIUGxQaFAYUDBSEFVIVyhVzFJoT8xO/E6gTahMrEx8TIhMDEvUTURP3FFAT+xM4EocSIBHhEaYRdRFdEVgRXhFjEVURJRDdEJcQXBAeD9MPiQ9ODxsO5w62DpcOhA5mDjEN8w28DZENZg00DP4MzwynDH4MTAwXC+oLzQu2C6ILkAt+C1kLGwrMCoAKSQpKCqILOwuyC6sLNgq+CoYKbAo3CfIJ2An8CjcKWApOChcJwQlpCS8JDwjzCNMIwQi8CKkIeQhGCC0IJAgPB+gHvAeOB1MHEAbfBs4G0AbMBrcGlwZ3Bl4GTQY8BicGEAX9BewF2QXFBbEFmgV+BWUFXAVkBXEFfQWIBY0FhQVtBUoFGwTgBJ0EYwQ+BCgEGgQSBA8EDAQGBAMECwQbBCwEOQRABEEEPgRABEcETAROBFYEbQSIBJwErQTEBNMEzgS+BL4E0wTrBPgFAgUUBSQFKgUwBT0FSgVOBVQFYAViBVAFSAVsBa4F1AW9BYoFagVtBYcFrgXRBdIFpgVxBWEFcQV3BV4FQgU7BTsFKQUKBPIE6ATgBNcEzgTCBKYEfgRXBD0ELQQfBBAD/gPoA9EDvQOoA4sDaQNKAzEDGwMBAucCzwK3Ap4ChgJyAl8CTAI6AigCFAH5AdsBvQGeAXwBVgExAQ4A7QDNAK4AkABzAFYAOQAdAAH/4//B/53/ev9Y/zT/D/7p/sL+mf5v/kT+Gv3w/cX9nP1z/Uj9Gfzo/Lv8kPxm/Dz8FPvw+877q/uF+1z7MfsE+tr6tPqO+mb6PfoT+eX5s/l/+U75JPkA+OD4v/iV+GH4Kff198n3o/d/91n3MvcI9uD2uvaX9nf2W/Y/9iH1//Xc9bn1lvVy9U/1MfUU9Pf02PS69J70gfRj9ET0JPQF8+fzzPO1853zhPNs81bzQ/My8yHzD/L/8vLy5/Ld8tHyxfK58q3ypPKe8pnyk/KL8oPyfPJ68n7yhvKO8pPylfKY8pvynvKj8qzyuPLF8tHy3vLs8vzzDvMl80HzW/Ny84rzpfPB89nz8PQP9DT0XfSF9Kn0yvTo9Qn1LvVT9Xb1m/XA9eT2BfYn9k32dPaZ9r725vcR9zr3Y/eN97n34vgK+Db4Y/iQ+Lv45/kU+UH5bvmZ+cT57foY+kT6bfqQ+rX63vsH+yr7Svts+5D7sfvR+/L8FPwy/FD8dPya/Lv81fzu/Qr9Jf1A/V79fP2W/a79yf3p/gn+Kv5N/m7+i/6l/sT+5/8G/yP/QP9e/3f/j/+v/9T/8gAKACoAUwB5AJUAsgDVAPsBIQFMAXwBpgHLAfQCJwJaAocCtQLnAxUDQQN8A8sEFAREBGYEjQSoBJUEWwQ0BFAEqQULBUwFbwWZBecGRgZ/BmUF/wWABR4E9AT2BQgFKAV7BhAGpAbLBncGDQXsBgMGDQXxBaoFHARHA4cDNAMCAkoBDgA1AJEB3wMOA0oCiQFA/+/+5v48/dD9gf1R/UD9Lvz5/Ln8m/ya/If8Vvwk/AT74vuy+4T7X/s4+w/6+fr7+vj63vq4+pT6YfoT+bT5Ufjk+Gj37Pd/9xr2uPZg9hv12/WY9WH1QPUn9QL02vTH9Mr0yvS19I30YvRA9Cj0EvP289fzwPOt84nzTPMK8tnyr/J88kbyJ/Im8jPyQPJH8kLyKvIH8eHxqPFA8K/wIu/I76Xvou+n76vvse+678jv1u/d79/v4+/v8ATwH/BD8Gzwl/DF8PzxQPGI8dLyHvJs8rPy8PMr82vzr/Px9C70Y/SO9LP02vUO9U/1l/Xl9jP2ffbC9wf3Ufec9+T4Lvh8+M/5Ifly+cL6Evpg+rH7DPtr+8D8Avw4/Gz8qPzu/Tr9hP3B/fD+GP5E/nz+u/74/y7/Xv+N/7v/6AAUAEAAbgCaAMQA8AEhAVQBhAGtAdYB/wInAkoCZgKBAqECyQL1AyMDTQNzA5YDuAPfBAkENARbBIMEqwTRBPAFCwUrBVMFfQWiBcUF5wYPBkAGeAarBtEG6wcDBx8HNwdAB0AHQwdNB1wHbgeEB5wHrge6B8cH2gfyCAwIKAhFCGMIfQiTCKgIvgjVCPEJHAlpCd4KaQrnC0gLmAvpDD0MewyODHYMTgw2DD8MYgyKDKkMvgzODOEM/g0iDTkNKwz9DNAMugyqDH8MPQwGC+0L5QvXC8ELpQuCC1cLKwsHCusK0gq9Cq8KqgqwCsQK2wrpCusK6QrfCroKfwpYCmEKgAqEClUKSApKClAKUQpRClIKUQpFCjEKGgn/CeMJ0gnLCb4JoQmACXIJeQl9CWwJSQklCQUI4wjBCKgInwihCKAIlAiCCHYIcwhvCF8IQwggB/sH2Ae6B6gHogeeB5IHfQdnB1kHUAc4BvkGlwY6Bg0GFAYgBf8FogUiBKUEQgPwA54DPgLdApMCaQJPAiUB3gGIAToA+gC/AH0AOf///9T/sf+Q/3P/Yf9a/1X/TP84/xb+4f6l/nP+Uv43/hb99f3U/aX9Xv0V/O788P0A/QH8+vz9/Qr9D/0I/QH8/vz2/N/8w/ys/Jf8evxW/DT8GvwH+/n77vve+777lvt9+3/7iPt5+0/7IvsM+wr7CfsI+xX7MPtG+1L7YfuF+7L71/vx/BL8OPxI/Db8Hvwi/Db8K/vu+6T7hvuj+9L71vuU+yL6rfpM+e/5evjv+Gz4Bfet91D28/ay9pn2lPaF9mf2SvY69ir2AfW19VT08vSf9F30LPQE8+DztfN+80HzBvLM8oryNvHW8X3xN/D68KfwHe9Z7nXtmOzh7FTr6uuZ61zrN+sm6xzrC+rw6s/qq+p86j/qB+nz6hjqcOrc6zXrYetb6znrG+sL6vvq2+qv6ofqZ+pK6irqDOnt6cPphek96Prou+hx6BLnpOc45tbmduYS5anlQeTe5H7kGeOy40/i7+KN4iXhvuFe4QjgtOBd4ATfrd9a3wberd5R3fndqd1h3Rzc29yg3GjcKdvp263bdds82wPa1tqz2o3aYNpC2kDaT9pV2kXaH9nc2YPZNNkR2RHZDtj32NzYy9i82KzYqNi32NTY/dkw2UjZENiL2AzX09fS193YCdh92SfZxtpM2t7bcdu926fbedtv21va+Npv2i3aWNqm2tXa9dsv233byNwZ3IzdGd2h3hLeed7m32Df7uCN4SjhruIm4qzjSePv5IzlJOXC5mnnE+e46FDo1elC6Z3p4+oC6evpqula6Q3ow+iH6I7pFeoi63bstu2v7mXu+++Z8FPxIfHZ8lrysfMH83bz8vRt9Of1aPXo9ln2vvci94z3+/hw+Ob5T/mb+dH6BPo8+nL6pPrf+y37hfvX/CD8bPy+/RP9aP3B/iH+g/7j/0f/twAqAJMA8AFNAa8CEQJsAsQDIgOEA+YETgTDBTkFnQXkBh0GXAasBw0HegfpCFUIwwk4CaoKDwp0Cu0LcgvnDEMMnQz/DUoNZA1lDYAN2A5rDyYP5BB5EN4RRBHeEqATSROzE/IUKRReFIkUpxS6FM4U+xVGFYwVphWoFdEWOBbCF28YaBmbGpIa7BrHGn0aORoLGjYa6BvFHDMcGRviG60bCRnLGJAX7heAFnMU7hQlFOsWqxgyGPkZVBmiGdsZ5RneGeEZ3Bm6GZIZhBmNGZUZmBmeGaIZoRmoGbUZrRmSGakaIxqvGqsZ4BjXGEUYThh+GGcYDxe+F5wXmRegF7gX8xhSGLEY5hjpGOEY7hj/GPAYxhiqGKgYpBiRGIkYnxi0GKMYdxhbGFUYThhEGEYYUBhFGCIYARfuF88XlhdlF18XfBeVF5gXihdqFzYXABbpFu0W5Ra9FpYWnBayFn0VzBTpFFgURRRaFEgURxTDFZ8WJBXUFQAUXRQiE/oTqRNhE1ITTRMgEwQTUxPwFEkUAxNbEsUSZxIcEc4RlhGTEcYSEBJGEjgR1hFIEM8QiBBZEBwP0A+HD0oPFA7lDsIOrA6QDmMOKA3tDbwNkg1lDTAM+QzLDKgMhAxVDB0L6wvMC8ILvQuoC3ULMArsCqoKaApDCnIK9AtwC38LHAqkCmIKSAohCesJ1Qn/ClIKmwqqCnYKGAm/CYEJTwkTCNsIvgi5CKgIgQhaCEQIMQgOB98HrQd2BzQG+AbZBtcG3wbcBsoGrQaKBm0GXQZTBkMGLAYXBgQF8gXfBc0FugWiBYsFhAWPBaEFtAXDBckFuwWaBW8FPgUDBL4EgARVBEAEOAQ3BDYELQQdBBEEFQQmBDkERwRMBEkEQwRCBEcESgRIBE4EYwR+BJEEnwSvBL4EvwS3BLkE0ATvBQcFGAUoBTMFOQVABUkFUgVcBW4FhQWKBXgFbQWHBa8FtQWQBWgFZAV/BaoF3QYJBgwF3AWkBZcFsgW+BaUFhAV3BW8FVgUwBRcFDQUGBPsE8wTrBNQErgSGBGwEWwRJBDUEIAQLA/gD5gPRA7YDlQN0A1cDPAMiAwgC7wLYAsECrAKZAoUCcAJcAksCOAIfAgIB4wHEAaMBfwFaATYBFQD3ANkAvACdAH8AYgBGACcABf/h/73/mv93/1P/Lf8I/uH+uf6P/mX+O/4R/ef9v/2Y/W79P/0P/OL8tvyI/Fj8LvwK++r7yfun+4H7V/sq+wH63Pq1+or6Xfov+gH50Pme+W/5RPkd+Pv43Pi4+Iv4WPgo9/732fez9433Zvc+9xj29PbS9rH2k/Z19lX2MvYN9en1xvWj9YD1YPVE9Sn1D/Ty9NT0tfSX9Hv0XvRA9CL0BvPr89LzufOh84rzd/Nn81jzR/M18ynzIPMX8wry+/Lt8uPy2/LU8s/yyfLA8rfyr/Kt8rLyu/LE8sfyxfLD8sPyx/LO8tjy4/Ls8vXy//MN8xvzK/NB81vzdfOM86HzuvPW8/H0C/Qn9Er0cvSa9L/04PUA9ST1S/Vx9ZT1uPXb9fv2F/Y19ln2f/aj9sj27vcV9zv3YveN97n34/gN+Dr4aPiS+Lr45vkT+UD5afmT+b355voS+kD6avqP+rP62vsC+yX7RPtm+4r7rPvN++/8Dvwp/EX8aPyO/Kz8xfzg/P79Gv0y/Uv9aP2F/aH9v/3g/gD+Hv48/lz+ev6b/sD+4v78/xT/MP9M/2D/dP+U/73/4P/6ABgAPABgAIEApgDOAPIBFAE/AXIBoAHGAe8CHwJJAm0CmwLVAwYDKQNdA7AEBAQ5BFoEfwSaBIUERAQQBBgEWASoBOQFAQUaBUwFmQXRBcEFagUBBLsEnwSSBIgEoAUUBegGuAcEBrsGWwZhBsYHLAdMBxEGbQVyBHcD0gNVAoMBXgCiAQUCXQPEBFcDvAIrAEn+0P4d/fT95P23/X/9TP0U/OD8xfy8/Kj8g/xf/Dz8B/vE+4z7aftT+0/7Zft/+3X7R/sc+wv6+frI+nb6Bvl2+NP4P/fM92v3Dfa99oD2QfX29bb1k/V89Vb1KPUQ9RD1DfT19M/0qPSE9Gb0TfQ19B70D/QC8+TzqvNw807zPPMf8vXy0vK+8rHyqvKs8q7ynfJ68lHyFvGv8RvwivAv8A/wC/AI8AHv/e//8AXwDfAS8BLwE/AZ8CjwRPBr8JXwufDc8QnxRPGG8cvyE/Jd8qPy4PMc813zovPl9CH0VfSB9K304vUh9Wf1r/X79kj2kPbS9xb3X/eq9/P4P/iP+N75J/lv+bz6C/pZ+qj6//ta+7D7+vw+/H78uvz2/Tn9g/3K/gX+OP5w/rL++f85/3H/p//dABEAQABtAJ4A0gEAASYBSAFvAZoBwgHjAgICJgJNAnACjwKtAtAC+gMoA1cDggOnA8YD5AQKBDcEYwSHBKoE0gT4BRQFLQVMBXUFnAW5BdMF8wYfBlgGkwa/Bs0GxAa+BtAG9QcaBzEHPwdIB1IHYgd4B48HnweoB7IHxAfaB/IIDAgoCEMIWQhmCHEIgQibCLcI0AjyCTIJlgoOCn0K3wtEC7YMJQx1DJAMfwxbDEAMOwxGDFoMcAyIDKEMvAzXDOEMzgyjDHwMawxiDEcMHAv4C+kL4gvUC74LoQt6C0cLFQrwCtwK0ArICsEKvQrACtAK5wr3CvkK8wrkCsEKiwpeClMKXwpjCj8KQQpOClsKYApdClUKQwokCf4J3Am+CaYJlwmOCX8JYwlBCSoJHgkUCQII6wjTCLkIlwh4CGwIewiZCKsIpQiPCHkIawhiCFUIQwgqCAgH4gfEB7sHxAfTB9QHwAeYB2wHSAciBucGkQY6BgYF9QXmBbcFZAUEBKsEWgQHA6UDOwLYApMCawJMAhgBxAFiAQYAugBxACX/2/+j/4D/Y/9D/yH/Cf77/vT+7v7l/s7+pf5x/kb+Kf4N/ez9zv26/Z39X/0N/Mn8pvya/JL8kfyc/K38t/y8/Mf81PzU/MX8s/yk/JH8cvxK/CP8Avvq++D74fve+8T7l/tv+2P7bfty+1v7MPsJ+vX68vr2+wT7H/s7+0r7Uftk+4X7ofuu+7z71Pvm+9/7z/vT+977yfuM+1j7XPuN+7H7n/tY+vP6ffn9+Xj48vhy+AT3qPdP9uX2dPYj9gz2GPYc9gT14PXC9ab1ePU29Oj0mvRR9BHz3POt833zSPMQ8tfynPJa8g/xuPFb8QTwvfCB8DPvtO8A7jDtYOyj7Ajrm+td6z7rKOsU6wLq8OrV6q7qf+pK6hnqAeob6mTqvOsA6ybrOes86y3rFOr86ubqx+qZ6mXqOuoZ6fvp3em+6ZfpZOkp6O7osOhm6Annoec75tjmdOYM5aPlP+Th5ILkIOO541Xi9OKR4ivhxuFn4Q3gsuBW3/3frN9e3wjeqt5J3fHdo91a3RPc0dyW3FvcHNve26bbcds32v7a0tqu2oPaUdov2i/aQ9pP2knaK9nq2YrZL9kA2PvY+tjl2MfYr9id2JDYjdiP2I/Yldis2LfYgNgJ16PXideg17bX39hN2PfZoNo12trbgdva28fbjNtq2z7ayto52ffaJtp72rDa1NsQ22HbsNwF3HjdBN2N3gXedt7o32Hf6eCD4Rrhm+IQ4pfjOePi5H/lF+W75mvnHufL6Gno8+lm6cXqD+o26iTp2uly6RHozOiv6NTpV+o+62Psh+1/7kTu8u+r8H3xU/II8oLy1fMq85j0FfSR9Q71kvYc9pv3Cfdp98X4JviR+Qf5d/nR+hT6T/qO+sr6/fsx+3b7y/wd/GP8p/z0/Ub9lf3j/jn+mv7+/2j/3wBfANcBOwGVAfQCVgK0AxMDegPjBEYEpQUMBXoF2wYfBlMGkQbnB1MHwwgnCIAI3wlNCcAKLgqgCyULsAwfDGkMpgzfDQQNDw0pDYMOIg7pD7kQdhECEVsRsRI3EtwTYROqE9sUIRRxFK4UyxTcFPUVIhVbFYgVnxXEFisW3he3GJQZbxoyGqMapRpbGfYZlRl0GfAbDRwrHJUcTRvbG24aqBlnGDAXZhakFV8T+xOaFL4Wphg2GQsZexnRGgYaEBoPGhYaDhnqGcMZtBmzGbEZrxm2Gb8ZxhnXGfEZ+hnwGgAaQBptGiAZWhioGIYY2hkXGOoYexgbF/EX7RgFGDwYiRjRGPgY/BjzGPgZCxkSGPsY1xjDGL0YqRiDGG0YehiMGIQYbhhtGH8YhRh2GGUYWxhMGDYYJhgbF/0XxheWF4oXlReaF5AXfxdhFy8W+RbcFtoW0ha0Fp8WthbWFqUV+BUbFIsUchSDFHQUbhTJFXEV1hWZFQMUnRR7FEsT7BObE4cTfRNKExsTQhOuE+4TvhNMEuoSpBJbEg0R4RH8ElwS2BMqEw0ScRGcEPoQtBCcEG4QGg/AD34PTw8iDvUO0g6zDooOTw4LDdINrA2NDWENJgzsDMIMpgyEDFAMEwvmC9UL0Au6C4cLSgsaCu4KsApuCloKjQrTCt4KngpRCisKIwoOCeMJxAnUChIKVwp3ClwKGgnYCaMJbQkpCOwIygi8CKgIhQhiCEUIJwgIB+kHugduBxMG2QbWBu8G+wbwBtsGwQaiBoIGbgZiBlIGOwYmBhYGBwX3BeoF3wXPBb4FuAXDBdgF7QX9Bf4F5gW8BY0FXwUpBOYEpAR2BGMEYwRqBGkEWQQ8BCcEJwQ3BEkEVgRbBFoEUwRNBEoERwRCBEUEWARzBIcEkQSbBKoEtAS3BMAE2QT8BRsFMAU8BUEFQgVGBUwFUgVeBXkFnQWyBa0FoAWdBZoFgwVkBV0FeAWjBdIGBgYxBi8F9QW5BbQF3AX1BeMFxQW2BasFjgVmBU4FRgU7BScFFgUNBP0E3wS8BKAEiwRzBFsERQQzBCAEDAP2A94DwQOhA4EDYwNHAysDEQL3AuECzwK/AqsCkgJ5AmUCVAJAAiYCCAHqAcoBqAGDAV0BOQEaAP4A4QDFAKgAiwBtAEoAJQAA/93/uv+W/3L/Tf8p/wT+3P6y/oj+Xv40/gr94/28/ZL9ZP04/Q/84/yy/H/8U/wu/Av76PvE+6D7d/tL+yL6/vrY+q36f/pQ+iH58PnA+ZT5aPk9+Rb49fjU+K34gfhW+DD4DPfm9733lvdx9073LvcO9u72z/aw9pD2bvZJ9if2CPXo9cb1o/WD9Wf1TfUx9RL08fTS9LX0mvR99F/0P/Qh9Abz7vPV87zzpvOV84fzdvNl81jzUPNH8zrzKvMc8xLzC/MG8wHy/fL28u7y5/Lj8uby7fLz8vPy7fLo8ujy7fL38wPzDvMW8x3zJvMy8z/zTfNe83Tzi/Of87TzzvPt9Az0KPRD9GP0h/St9NT0+PUd9UT1bPWR9bT11/X49hT2LPZI9mr2jfav9tL29/ca9z33YveO97v35fgQ+D74bPiU+Lv45/kW+UL5avmT+bz55PoM+jj6ZPqK+q360/r6+x37Pvth+4X7pvvG++j8CPwi/Dz8XfyA/J38tfzR/PH9Dv0k/Tr9VP1w/Y79sP3V/ff+Ff4x/k7+bf6Q/rX+1f7s/wL/IP8//1X/Zv+B/6b/yP/mAAYAKQBIAGgAlADFAO4BDwE5AW0BmwHBAesCGAI6AlUCggLBAvgDHgNPA54D6gQVBDAEVgR2BG4EQQQfBCYEUASFBK0EtAShBJcEsQTTBNIErASPBJgEqwSdBGwEUgSiBXMGbgb9BuwGpgbHB2kIHwh2CEsHqAaqBYgEfQOPApgBtAFYAeADHgRyBS0E0wNWAT7/cf6B/kL+Iv3Z/Yr9XP1D/SL8+fzV/Lv8qvyY/G/8I/vM+477dft9+6j76/wQ++r7lPtY+1P7X/tK+wj6k/nq+Sz4jvgm99X3hPc+9wj2xvZr9hv19fXj9b71iPVj9Vb1R/Uo9QD01vSu9I70fPRt9Ff0QfQv9BXz5vO486HznPOO83DzUPM08xfzAvL+8wbzAfLp8snymPI38aXxEPCu8Ifwe/Bv8GDwU/BI8ELwQfBC8ELwQ/BH8FTwbvCU8L3w3/D+8STxVvGQ8czyDPJP8pHyz/MN81DzlvPa9Bb0TfR/9LT09PU69YH1xvYO9lj2n/bj9yr3d/fD+Az4Vvik+PD5NPl4+cX6GPpo+rT7BPtX+6n7+PxI/JT81v0N/Un9k/3i/ir+av6u/vn/RP+E/7r/8AAoAF0AiACwAOEBGgFRAXsBnQG9AeACAgIgAkACYgKGAqYCwgLhAwYDMwNiA5ADuQPbA/MECgQsBFgEggSgBLwE3QT/BRYFKAVEBXEFoQXIBecGCQY2Bm0GpgbOBtMGuQagBqcG0AcAByUHOQdDB0wHWQdqB3oHhAeMB5gHqwe/B9EH5Af7CBQIKQg2CD8ITghpCIkIngiqCMQJAgleCb4KFgpyCuILZAveDDUMWAxODC4MEAwCDAcMHQw+DGAMegyIDIYMdQxYDEEMNwwzDCEMAgvmC9cLzwvFC7MLmAtuCzgLAwrgCtIK0ArSCtEKzQrMCtcK6gr4CvkK8AriCskKnwp0ClkKTgpGCjcKNwpGClkKZgplClQKMAn9CccJmwl7CWUJVglLCT0JKAkKCOUIwQigCIgIeQhsCFkIPwgsCDIIVwiJCKoIqQiPCG8IWAhPCFIIWAhQCDUIEwgBCAMICggHB/IHzgeZB1sHIgbwBr0GfAY4Bf4FzQWWBVAFCATMBJgEWgQGA58DNwLgAqECcgJCAf8BpQE+ANwAhAAy/9//j/9S/yv/Cv7j/rf+lv6H/of+jf6P/oT+Z/4//h7+Bv3s/cr9rf2e/Yz9XP0K/LH8avw7/Cb8Kvw+/FL8Xfxu/I38rfy5/LP8qPyc/If8ZPw7/BP77PvJ+7X7tvu++7X7lPts+1b7Wvtn+2L7PvsO+uv63fre+u/7E/s8+1D7TvtR+2j7gPuD+3/7jful+6z7nvuS+4j7afs4+yP7SPt/+4n7V/sD+qL6J/mN+O74Z/f695r3P/bb9mP14vWG9W/1ivWg9ZX1dPVR9S71APTJ9I/0UvQP88nzi/NT8xzy5fKy8oHyRPH48aTxTvD68KvwZfAk79DvUu6t7fXtOOx869XrZ+s76zLrI+sH6vDq4OrF6pDqUuok6hnqNep06sPq/usT6xLrF+sm6yTrCOri6sLqpep76kfqGen36drpt+mR6WrpQukV6ODooOhT5/znoedC5t7mdeYM5ajlSOTp5InkJ+PC417i/OKa4jjh1OFz4RLgs+BU3/zfrd9e3wTeot5C3e7do91a3RTc1NyX3FTcDdvM25jbZ9su2vTaxdqe2nDaP9og2iHaNdpE2kjaNtn72ZbZL9j02OjY5tjT2LXYm9iH2HrYdthz2GTYTdhB2DPX/dek12LXYteC15fXudgk2NDZgdoc2rzbWduy26fbbds52vLacdnm2bHZ59o/2nvaqdrs20Hbldvu3GLc69113fbecd7s32jf8eCI4Rnhk+IF4o7jNuPk5IXlHeW/5m7nIefS6HnpD+mQ6f3qT+p36mPqFOmk6Tzo/+j86TfpqepS6y7sLO0v7hzu8e/A8Jnxb/Ij8p7y7vM786L0IvSs9Tb1wfZM9sz3Pvej+AP4YvjG+TL5oPoE+lj6oPrk+yD7UvuE+8b8Gvxs/K/87P0z/YP9zf4O/lj+tf8f/48ACwCUARgBhwHiAjkClQL0A1kDyQQ6BKAE+QVVBbgGEwZYBpEG1gc3B6sIGwh2CMIJFwl/CfMKZArdC2UL6wxKDHkMlAyxDM8M9g1HDd8OqA96EDsQ4xFhEbcSERKUEykTjhOzE88UFRR1FL8U5RUAFSIVRxVlFYMVuBYmFuIX3BjjGcAaTRp/GmUaJRnbGYAZIBkeGesbZhy4HSQcvBwPG1kabBlGGDcXSBYHFFMS9RL/FIoWmRgrGQ0Zlxn8GjEaOBo3GjwaMhoRGe8Z3hnVGcoZxxnQGd4Z7RoFGigaQhpDGjEaFBnPGUwYuhh8GL4ZORl8GWEZHRjtGNoY1BjZGPEZERkhGRoZCxkJGRIZGhkPGPQY2RjKGMAYqxiNGHoYfBiDGIEYhhifGMEYzRi4GJYYdRhXGEEYNxgyGB0X8RfEF6gXmxeOF4EXdBdeFzUXBxbpFt8W1RbDFrkWxxbUFqoWLRWGFQQUyxS4FJ8UkBS4FQkVMxUJFL4UmxSTFGgUDxPHE7QTqRN3EzwTNhNiE4ATZxMxEv8S0BKXEmESTxJ4EtgTTxOYE2YSqhG5EQ4Q2RDbELgQXg/8D70Plg9pDy4O+A7RDqkObg4kDeYNxA2zDZYNXQ0VDNsMuQyeDHUMOwwDC+IL0Au3C4oLVgsvCxAK4AqaCloKPQo9Cj4KNgoyCjkKOgoeCecJsAmWCakJ4AoZCi4KEAnTCZEJVgkmCQII6AjPCLEIkAhqCD4IGQgRCBwIAweeBxkGygbVBwUHGQcGBuoG0QazBpEGdwZkBlEGOQYnBh0GEwYHBf8F+gXzBeoF6QX1BggGGwYnBiEGBAXWBagFfwVQBRIEzwSdBIkEjgSbBJwEhQRgBEUEQwRSBGAEaARuBG8EawRhBFcETgRHBEgEVgRuBIEEjQSXBKYEtgTCBM8E5gUFBSEFNgVBBUYFSAVKBU0FUQVbBXQFmgW8BcgFvQWlBYgFcgVxBY4FtwXXBfMGGwZBBjoF/QW9BbUF3gX+BfoF6QXiBdoFvQWZBYYFgwV2BVkFPAUtBSEFCgTsBNAEtgSdBIQEcARfBEsEMwQcBAYD7wPUA7YDlwN6A1wDPAMcAwAC6wLbAscCrgKSAnwCagJaAkYCLQIRAfMB0gGsAYIBWQE3ARsBAQDnAMwAsACQAGoAQwAd//n/1v+z/5D/bv9N/yv/Bf7c/rH+h/5c/jH+CP3f/bP9h/1e/Tn9Evzj/LH8hvxf/Df8Dfvl+7/7lvtp+z/7G/r2+s36ofp0+kX6Ffnn+bz5kvll+Tn5FPjz+M/4qfiE+GL4QPgb9/T3zfep94j3afdL9yv3C/bs9s72rvaN9m72U/Y29hT17vXJ9an1jfVy9VP1M/US9PL01fS29Jf0dvRW9Dv0JPQM8/Hz1/PD87TzpfOT84PzePNv82PzVPNH8z3zNvMw8y3zK/Mo8yPzHPMX8xXzF/MZ8xbzD/MJ8wnzD/Ma8yfzM/M880PzTPNZ82bzcvOA85LzpfO388zz6fQK9Cn0RfRf9Hz0nfTB9Oj1EfU69WL1h/Wp9cr17fYM9ib2P/Zd9n72nva89t33Avck90X3a/eY98T36/gU+EH4bviW+L346vkZ+UP5afmS+bz54voG+jD6W/qB+qT6yfrw+xT7Nvtb+3/7nvu7+9v7/fwZ/DT8VPx1/JH8qPzC/OH8/P0V/S79Sf1k/X/9oP3G/er+Cf4n/kb+Y/6C/qP+wf7X/uv/CP8p/0P/WP9z/5P/sf/P//QAGQA2AFMAfwC3AOUBCgE0AWYBkAGyAdoCCgIvAksCdgK0AuwDFwNNA5cD1QPyBAQEJgRHBEwEPwRABFoEfgSlBMAEtQR+BEYENwRHBFAEVQR8BMYFAAT5BLAEXQRWBOIF4QbDBxIHAgc5B/kI1glBCRUIhQewBo8FMgPQArECGAIvAusEBwUmBeIFwgR4AlQAPf7z/nL+NP3k/Z79h/2F/Wj9LPzv/M38wfyt/HT8GvvG+5n7mfvC/BT8cfyP/Ev73vuk+637vPue+1L62Pot+XD43viL+E/4C/fJ95H3Rfbd9oP2WvZK9iL14/Ww9ZX1fPVa9S/0/vTM9Kz0pfSj9I70bvRX9EL0HvPy89XzyvO786HzhvNx81nzQ/M+80bzR/M78y3zEPLH8kfxuvFQ8Rbw9/De8MbwrPCS8HvwbfBn8GbwavB08ITwm/C68N3xAPEg8UXxc/Gl8dnyEPJL8obyw/MD80nzkPPU9BX0UvSM9Mn1DfVT9Zb11vYZ9mD2pPbn9zD3gPfN+BH4V/ik+O/5Mvlz+b76Evpl+rT7BPtW+6X79PxJ/J/86f0m/WP9rf3+/kz+lf7h/zH/ff+6/+0AIgBbAJAAtwDZAQQBPQF5AasB0AHuAgoCKAJJAm0CkgKyAswC5AMCAysDWgOKA7QD1wPxBAIEFAQyBF0EhgShBLcE1ATzBQUFDQUgBU0FiwXGBfYGIAZIBnIGngbBBssGuQalBq0G1AcDBycHOgdFB00HVgdgB2YHagdxB38HkQefB6kHtwfLB+MH+QgJCBQIIgg9CGEIfwiOCJoIuAjuCSsJZwmqCgUKewr+C3YLzgv3C/gL5QvRC8sL2Av4DB8MPAxFDEAMNQwsDCUMJAwgDA8L7gvLC7QLrQurC6ILiQteCygK9grWCswKzwrTCtIKzQrMCtYK5QrxCvEK6QrgCtEKugqaCnsKXgpGCj4KMwo7CkwKVwpPCi0J9gm0CXUJQAkYCPkI5AjZCNgI1AjCCJoIZAgyCA4H+wfzB+4H6QfsCAYIOgh0CJgImAh/CGEITQhMCGEIfQiICHoIaghqCG4IVwgdB9gHnQdsBzQG9Qa5BoMGTwYaBeAFnQVNBPoEuASNBGgEMwPkA4YDLQLiAqUCbAIuAeMBiQEiALsAXAAF/7D/Wv8P/tj+rP57/kb+IP4U/h7+MP49/j3+LP4Q/fX93f3B/Z/9g/11/Wb9Qvz+/KT8SfwA+9z74Pv4/Ar8FPws/Fz8ivye/Jr8kvyK/HX8UPwm+/770vul+4f7gvuM+477fPtd+0P7QPtO+1L7OvsP+uv61/rR+tz7Avsz+0z7Rfs9+077Yvtf+1P7Y/uJ+5n7fvtU+zT7F/r/+wr7PPtk+0n67/qH+iL5qPkP+Hb3/Peb9z723PZy9fj1dvUT9PX1DvUt9S31FPTz9M30nvRu9EH0DvPL837zNvL38r3yifJd8i/x7/GZ8T7w7vCo8GbwJO/X723u3O457Zvs/+xZ67rrUOsv6zHrJOsB6ufq2uq56nXqMOoc6kfqk+re6w/rH+sT6wXrDusi6yDq+erC6pnqfepc6jDqBenj6cLpmOlp6UDpH+j76Mroieg/5/TnpedL5uPmeOYS5bLlUuTv5IzkK+PJ42TjAeKj4kXh5OF+4RnguOBa4APfsd9b3v7em94+3e7dpd1d3Rnc3Nye3FPcAdu724jbXNsl2ujastqF2lnaL9oY2hnaJ9o12kHaO9oF2ZvZKtjo2NvY29jJ2KzYkth92GzYY9hf2E/YL9gP1/DXwNd+107XSNda12bXidfy2J7ZUNnn2nTa9Ns/2zrbBtrF2mzZ79l+2WTZo9n52jradNrD2x/bd9vV3Erc091d3ePeZt7m32jf9uCP4R3hleII4pfjQuPx5JDlJ+XD5mznH+fW6IjpKum66jbqkOq06prqTOni6X/pS+lg6a3qCupr6vLryOzh7gXvBO/e8K3xefIs8rDzCPNR8630KvTA9V719PZ99vf3Z/fS+Dr4oPkC+WX5zfo4+pv68vs++3/7tfvo/Cj8ePzI/QT9N/11/cL+C/5G/of+4P9N/8IAPgDIAVQBzQIrAn4C1QM0A58EFQSMBPQFSgWdBfYGTAaXBtwHLgeTCAMIaQi9CQUJVQm5CiwKowsfC6AMEgxWDGwMdgyVDNUNOA3KDoQPSA/4EJURJRGeEgASbBMBE5kT7hPzE/AUJhSHFNsVDRU3FWUViRWdFcUWLRbqF+UY9hntGpQavBpoGecZlBl9GWAZJBkzGgsbgxzOHUYc+hxMG20aaBlwGKgXqRXoE6sSLRJ6FE8WexgQGQIZpBoYGlMaYBpjGmUaVxo6GiAaDRn6GecZ3xnnGfcaDBotGlcaeRp7Gk0Z7BlkGNoYiRidGQAZahmfGaMZmxmaGZQZgRlsGWQZYRlUGUEZOBk6GToZLBkWGP8Y6BjTGMAYtRixGLIYsxiyGLYYyBjnGQEZAhjpGMIYmhh4GGMYWxhXGEUYHxfvF8MXoxePF4cXfxdtF00XLRcUFwIW8BbdFskWuBapFpMWZBYRFaUVQRT3FMgUshS1FMMUwRSlFIMUcxRmFD8UBhPgE9kTzxOlE2wTSBNCE0QTPBMrExES7hLMEr4SyxLqExgTUhNyEzcSiBGtERgQ9BD/EOIQjxA7EAsP7A+2D2cPHQ7rDsEOhg49Df0N2w3NDboNjA1JDQUM1AyxDIsMWQwiC/QL1Qu5C5MLZAs5CxkK+QrKCoYKPAoLCg4KRgqSCrwKpQpZCfwJrAl5CXMJqQoGCkwKRAnrCXkJLAkVCRUJCQjlCL4Inwh3CDwIEAgiCF8IZwf5B00G3AbdBxcHNAchBv8G4Qa/BpkGeAZgBkoGMgYhBhoGFgYPBgkGBwYHBggGEAYfBjAGOwY9BjAGEAXkBboFlwVwBTkE+QTFBKoEqwS5BLwEpAR7BF4EXARuBHwEgASBBIMEgAR1BGgEXQRYBFgEYgR0BIcElQSiBLIEwwTSBN8E8AUFBRsFLgU+BUwFVQVaBVwFXAVgBW8FkAW3BdAFzAWvBZMFkAWyBeQGBQYIBgcGHQZABkYGGQXhBdAF6AYCBgcGBQYIBgIF5wXHBboFuwWvBY0FaAVRBUEFLQURBPUE2wTDBK0EmwSKBHUEXQRGBDEEHQQFA+oDzgOzA5QDcQNJAyQDCALzAuECygKvApYCggJyAmICTgI1AhgB9gHPAaIBdgFRATQBGwEDAOoAzwCwAIwAZQA+ABf/8v/Q/7H/k/91/1T/MP8J/uH+uP6N/mD+Mv4F/df9qv2C/V79Ov0P/OL8uPyQ/GX8N/wL++L7t/uJ+177OfsV+uv6wfqX+mv6PPoP+eb5vvmT+Wf5P/kc+Pr41/i2+Jj4ePhV+DL4D/ft98v3qfeH92T3Qvcj9wX26PbK9q/2lvZ59lX2LPYF9eP1yPWu9ZL1c/VR9S/1DvTt9Mz0rPSO9HX0X/RI9C30EPP58+jz1/PD86/zoPOV84nzffNx82bzW/NU81HzUfNR807zSPNC8zzzOfM48zXzLvMp8ynzMPM680bzU/Ne82fzcfN984rzlvOk87XzyPPa8/D0DPQq9Ef0YPR69Jj0t/TZ9P/1KvVW9Xz1nfW79dr1+vYa9jX2UPZw9pL2sPbL9uv3D/cy91T3evel98738PgW+EP4cfiZ+MD47fka+UH5ZPmM+bb53foB+in6U/p5+pz6wfrp+wz7LvtS+3b7k/uu+8z77vwO/Cr8Sfxp/IX8nPy1/ND86v0F/ST9RP1f/Xf9lf24/dj99v4W/jj+Vv5w/o7+rP7D/tX+6/8G/yL/P/9i/4T/oP+8/+IADAAqAEYAcQCnANYA/QEpAVoBgQGcAcEB9AIkAkoCdgKsAtwDCANAA4UDuQPNA9wD+wQZBCIEKQRGBHMEogTTBPoE8gS1BHYEaQR7BIUElgTSBScFXwVZBRkEsARYBIIFYwaGBzUHXAegCGsJVQm1CXcI9ghTB04FzAQvAw8CxAM6BB4FHAYDBpkGcQUpAvIAqf8l/oT+TP4W/eT9z/3E/Z79Wf0V/On8yfyb/FP8AvvM+8L73vwj/JD89f0G/LH8Tvw0/Ev8OPvd+2X66PpU+bD5MPju+MT4jvhT+Bn3zvdr9xT25/bK9pX2TPYO9eb1w/Wc9W/1NvT49NP00/Tb9Mj0pPSO9IH0YPQp8/nz2/PB86PzjfOD83zzc/Nw83PzcfNo82PzW/Mz8t3ybvIK8b/xh/FZ8S/xBPDX8LLwmvCN8Inwj/Ci8Lfwy/Dh8P3xH/FD8WnxlfHD8fLyIvJU8ofyvvL+80bzj/PU9Bj0W/Sd9N71IPVj9aP14vYm9mz2rfbr9zH3gPfL+Az4TviZ+OX5J/lk+aj5+PpL+p/69vtL+5z76fw8/JP85f0r/W79tv4E/lD+m/7s/z//i//J//4ANwB1AK4A2AD4AR4BTwGGAbkB4QH/AhcCMQJUAn0CowLBAtkC8QMRAzwDbQObA78D2APpA/YEBQQhBEoEcwSQBKgExwTpBPsE/QUGBSwFbAWzBfMGJAZGBl4GdgaQBqIGpgapBr4G5wcSBzAHPwdFB0cHSAdHB0YHRwdPB14Hbgd4B4AHkQepB8MH2QfrB/cIBAgbCD8IZQiACI4Inwi7CNwJAgkxCXMJygozCqcLFQtqC54LtAu1C64LrwvGC+4MEAwdDBkMFAwVDBcMFwwRC/wL1QupC44LiwuRC4wLcgtECxAK4wrICsMKyArMCskKxwrLCtUK3wrjCt8K2ArTCs4KxQq0CpsKegpYCj8KLgooCicKGwn1CbQJZQkZCNUImghkCDYIGggYCCsIRAhLCDUICgfYB6wHjgeCB4kHnAe4B+MIHwhaCHgIdAhjCFYIVAheCHQIkAijCKoItAjGCMAIfggJB5cHUActBwgGzgaGBkIGBwXTBZ0FXAUPBMMEhQRXBCwD9gO0A2wDIgLaApYCVAISAckBcgELAJwANv/d/4b/Kf7P/of+Tv4Y/eP9vv25/cz95v32/fn98P3c/cD9of2B/WP9Tf1B/TX9Hfzw/Kf8Svvv+7n7svvE+8/71Pvv/Cb8Wfxt/Gn8aPxs/GD8PfwP++P7uPuQ+3X7b/tz+3H7X/tD+yv7I/ss+zH7I/sF+un61/rK+sr65/sU+zD7K/sj+y37OPsq+xv7NPtp+3v7TvsK+uL62vrj+v77Ivsm+ub6c/oB+Z35L/ir+Cj3ufdU9uz2iPYr9cb1T/Tp9Lv0xfTb9Nr0wvSb9Gn0MfQA89rzsPNy8yby3fKc8mLyMfIG8dbxj/E18N7wmvBj8Crv5O+E7vruTe2h7Rnsquwx66/rT+su6y/rIusB6ufq1+qv6mPqJ+o36pHq9usv6zTrHusJ6wTrEusi6xfq6Oqp6nnqW+pB6h3p9OnP6ajpeulH6Rvo+ejW6Kboaugr5+znpudN5uPmeOYY5bzlWeTv5IrkLOPM42bi/+Ki4knh7OGI4STgxuBr4BLfu99h3wHen95G3ffdrd1k3SHc5tyo3FjcANu224LbVtsf2t7aodpx2knaKtoY2hXaGNoj2jfaPNoK2ZvZItjf2NTY1tjC2KPYith02FzYS9hH2D/YKNgJ1+zXxdeK10rXIdcU1xvXRtet2EjY69l42fHaVtqR2pHaY9oc2b7ZWNkY2SPZa9m72f3aRNqd2v3bWtu/3Drcwd1J3czeTN7M31Lf5+CG4Rfhk+IQ4qfjUeP45JLlKOXD5mnnH+fg6JrpPenO6k/qrurR6rjqduoe6cjpounP6jbqi+qu6uTrjOyz7gXvJ/AK8M/xjfI78sXzKPN188r0QPTa9YX2Jvay9yv3mfgD+G341fk5+Zr6Afpw+t/7RPud++v8Lfxl/J/85P0s/WP9jf3B/gf+Tf6G/sH/Ff+D//kAdAD7AYoCCgJuAsADFQN4A+kEZATdBUQFmQXlBjUGiAbZBy4HjQfzCFUIqwj0CTkJhwnoCl0K3QtcC8wMHAxEDFAMZgynDR4Nwg6CDz4P1hBQEMkRVBHdElcS3ROJFC4UfhRpFEMUYRTAFR8VXhWQFccV+BYhFm0XDBf1GO4ZxhpnGrkalBoAGWIZKxlcGYsZfBmAGg4bFhwNHIwckBwrG1oaVBmNGQ4YHRYQE3ARxBIZFAEWOBfhGPMZrBolGmUahBqWGpcagRpjGlAaPxonGgsZ/Bn/GhAaMBpcGooaqBqjGm4aAhl6GQwY5hkMGVIZjRmwGcgZ3BniGdAZsBmWGY0ZiRl/GXQZcBltGV4ZRBkvGSMZEhjzGNYY0BjgGPAY8hjuGPUZCRkcGR8ZDxjxGM4YrRiWGIwYiRiDGHMYUxgmF/UXzRe2F6oXmheBF2gXVxdIFzIXFxb5FtQWphaCFn4WihZ0FhkVkxUgFOAUyRTBFLgUrRScFIAUWRQvFBEUBxQPFBQUARPWE6ITeBNeE1ETThNGEysTCBL9ExoTQhNMEzYTIhMUEt8SXxG4ET0RFBEOEOwQqRBxEFcQPQ/8D5wPQw8GDtUOng5eDiMN+Q3eDcgNqQ16DT4NAAzIDJkMbQxADBUL7gvOC6wLgwtWCzQLJwsaCusKlApGCkkKsQs2C28LLwqjCh0JwwmOCX8JsQoiCo4KlwonCYoJJgkZCS4JJAj2CMkIrQiFCEIIDggnCHsIoQhGB5QHCgbyByMHSgdCByAG+QbQBqMGfQZjBk0GNQYgBhcGFQYWBhUGEwYUBhwGLQZBBk4GTwZEBi4GDQXnBcUFqAWHBVgFIATrBMcEvQTGBMsEtwSNBGsEaQR/BJMEmQSYBJYEkQSGBHgEbwRsBG8EdgSEBJMEoQSwBMEE1ATjBPAE/AUKBRcFJwU8BVUFagV0BXUFcwVyBXoFkwW6BdwF4AXHBbAFuQXnBhkGLwYkBhUGIgZIBmIGVgYvBhIGDwYcBicGMQY3Bi4GEwX1BecF5QXXBbYFjwVzBV8FSQUtBRME/AToBNQEwgSvBJsEhgRwBFsERQQsBBMD+gPiA8YDowN6A1ADLAMRAvwC5wLOArMCmwKKAnwCawJTAjUCEQHpAb4BkwFtAU4BMwEZAQEA6gDPALEAjQBmAD0AF//1/9j/vP+d/3z/Wf80/w/+6v7B/pP+Y/4z/gP91P2p/YL9Xf00/Qn83vy0/Ij8W/wx/Aj73Puu+4T7X/s4+w364vq6+pH6Zfo5+hD56vnB+Zb5b/lL+Sr5Cvjs+M/4r/iO+G/4Uvgy+A/36vfD95z3d/dV9zf3Gfb89uH2xvan9oH2WvY19hb1+/Xi9cj1q/WL9Wn1RfUi9QL05fTK9LL0nPSG9Gv0TvQ09B70C/P0893zyvO787DzpfOa843zgPN283HzcPNv827zavNk81zzV/NV81LzTvNL803zUvNb82fzdPOA84rzk/Of86vzuPPH89vz8PQD9Bj0MPRK9GH0efSU9LP00vTx9Rb1QfVu9ZT1svXO9ev2CvYp9kb2Y/aD9qT2wfbb9vr3Hfc/92H3h/ew99X39fgZ+Ej4d/ig+Mb48vkc+UD5YPmG+a/51vn7+iT6Tvpz+pX6vPrk+wf7JvtH+2r7iPuj+8D74vwC/B/8PPxa/Hb8j/yq/MX83fz3/Rj9O/1X/XD9jf2t/cj94v4C/iX+Qv5Z/nX+lv6x/sT+1P7o/wH/If9K/3P/kP+q/8//+wAfAD0AZgCYAMMA6AEVAUoBcgGNAa4B4QIWAkMCcQKiAsoC7gMfA1oDhQOYA60D0APrA/YEBgQuBGYEpQTxBTIFNwUCBNgE5gUGBQ4FFwVIBYIFlQWHBWoFHQShBH0FNAZyB1IHkAfXCLAJqwoFCbEJLwikB7EGMASoA84D3wSUBYEGXwcGB0IGuAUqAtwAmP8k/pr+g/5t/kL+Gv34/cj9iv1K/Q/80PyG/D38Cvv7/Az8OPyO/Q79ef1+/Sj84/zy/Q38wvwU+2r69/qL+gH5gfk5+R35BPjl+MT4lPhP+Aj3z/eV90j29Pat9mz2K/Xw9b31f/U69Q71DfUV9QH03vTO9MX0nPRP9ATz0/Oy85PzgvOF847zkfOR85DzhvN182vzZ/NZ8zLy9vKy8mzyJvHj8aDxWPEU8OTwy/C+8Ljwv/DU8Ozw/fEN8SXxRPFn8Y7xufHn8hPyP/Jq8pTyw/L/80jzk/Pa9B70Y/Sm9Oj1KfVq9ar17fY29oD2wfb89z73iPfP+A/4T/iY+OP5I/lc+Zr55Po2+oz65fs++4/72/wq/H380f0d/WX9rP30/jz+iP7a/y//fv/DAAEAQACCAL8A7wEUATcBXwGLAbkB4QIAAhgCMwJXAoACpALCAt4C/QMgA0oDeAOhA74DzgPaA+gD+AQQBDEEVwR4BJcEvATjBPsFAQUHBSQFWwWeBd4GEAYvBj0GRgZXBm4GhAadBsEG7gcXBzEHPAc7BzIHJQcbBxgHHAcnBzcHRQdPB10HdAeSB64HxAfXB+gH+AgMCCoITQhsCIAIkQimCMAI3wkECTMJawmvCgQKZwrNCyYLaguRC50LoQu1C94MBAwSDAoMBAwFDAgMAwv2C94LtguKC28Lbwt5C3MLUwshCu4KyAq1CrQKugq+Cr4KwwrOCtYK0wrICr4Kuwq8CrwKuAqtCpgKewpbCh8KCgn1CdgJpglWCO8IiAgyB+4HrwdwBz0HJAcwB1oHjge3B8kHxAepB3wHTgc3Bz8HWweBB7QH9ggwCEcIQghBCFcIdAiACH4IfgiKCKYIzgjsCNUIcAfbB1cHDwb1BtsGpgZYBgUFuwV/BUoFFATZBKEEagQxA/QDvAONA1oDGALIAngCNAH3AbQBXQDvAHgACf+p/07+7P6M/j3+Af3M/Zz9gP2D/Z39tv3A/b/9tv2l/Yj9Yf0+/Sf9Hf0Z/RL9Bfzs/Lb8XPv0+6j7jvuR+5L7kfuo+9z8DPwe/CD8L/xJ/E78LPv2+8T7oPuM+4f7i/uL+3r7XPs5+x37DvsM+wz7APrr+tn6zPq++rb6xvrr+wf7C/sI+w77Cvrs+tX68vst+0D7C/rD+qb6vPrf+vP68frK+nX6Bvme+UP44fhz+AD3jfcR9pX2NfXy9az1TPTq9LH0p/Sr9Jz0dPQ48/DzqfN281nzPfMP8tDyjvJO8hTx4fGy8XrxLfDZ8JLwXvAt7+3vle8f7n7tvu0O7JbsTuwG66frUOsm6yHrG+sG6u7q0+qf6lnqNepl6tPrMutN6zLrD+sC6wXrDesM6vfqyuqQ6l/qPuom6gnp4um26YnpWekn6Pno0eip6HroROgP59vnm+dE5t3meOYf5cTlXeTv5IrkLuPP42Xi++Kc4kfh7uGR4TTg3OCE4Cnfzd9y3xTetd5b3grdvd1y3S7c8dyw3GDcCdvA24rbWdsd2trandpt2kjaLdob2g3aBNoP2jDaRNoY2aTZJtjg2NXY1di82JjYfdhm2ErYMtgq2CjYHNgH1/TX1teW1znW5Na71sbW+9dW183YTdjF2S/Zhtm72cTZotlf2Q/Yz9jE2PTZQtmL2c/aINp92tzbPNut3DDctt003azeJd6i3y3fyuBu4QHhhuIS4rPjWeP15IzlJuXF5m3nJ+fu6KbpPenA6jzqnerH6r3qlupa6hXp++pD6s7rLuso6xbrheyd7f7vO/A48Q3xyfJj8tnzN/OM8+f0XvT79av2U/bi91/30/g++KP5Bvlq+c/6Ofqr+x/7jPvz/Fb8rPzq/Rn9Tv2O/cj99P4g/lr+l/7K/v//Tf+3AC0ApwEsAboCPQKlAvoDUQO4BC4ErQUoBZAF4gYrBnQGwgcWB3YH4AhICJ8I5gkoCWwJuwodCpkLIgueC/YMIww1DE4Migz6DaEObA84D9gQOxCDEOsRhxI1EtATaRQZFL0VBhTgFKQUthUdFY8V2BYGFj0WgBbPF0kYBxjoGZwZ/BogGiIZ7xl9GRAZBxlhGbkZxhm4GeEaRRqxGxAbYBtlGtsZ/BlcGQgYLxYgE3ERrRHVE4wVtReJGNgZsRopGmkamxrDGsYapBqBGnMaahpUGjcaJBokGjsaaRqhGssa2BrHGpkaShnoGZkZeRmCGZwZuBnZGfsaChn7GdkZuhmuGbAZrxmlGZcZjBl+GWYZThlDGUMZOhkeGQAY+xkKGRUZEBkMGRkZLRk1GScZCxjpGMYYqxidGJsYmRiRGIQYcxhWGC8YCRfsF9QXtReTF34XdxdvF1oXOhcXFuoWtBaKFocWmBaFFikVnxUpFOsU1xTNFMQUwhS9FJ8UZRQuFCcUUhSCFIUUUhQLE88TqBOQE4QTgBNyE04TKhMwE2YTnROZE1kTEBLlEsESdRH+EY8RSxEhEO8QtRCPEIMQbhAvD9APdQ8vDvkOyg6eDnEOPg4IDdwNwA2jDXQNLwzlDKkMgAxgDD0MEwvpC8MLnQt3C2MLbQt/C2ULCgqmCpkLBQuaC9ULfArQCj0J7Qm/CZ4JrQoMCogKsgpZCb0JUQk8CUsJOwkHCNYIugiWCFYIGwgeCF4IjQhbB80HQgcKByUHUQdcB0IHFwbnBrcGjQZwBloGQQYnBhcGGAYjBikGKAYlBi0GPwZRBloGVQZDBicGBgXoBdAFugWdBXYFRQURBOUEzwTSBN0E0gSsBIMEdgSHBKIEsASxBK0EpgSaBIwEggR/BIIEigSUBKAEqgS3BMoE4QT1BQQFDwUXBR0FJgU6BVgFdQWGBYsFjAWMBZAFowXIBewF9QXhBckFzAXqBhAGKAYvBjIGQQZhBoMGjAZvBkMGKQYtBkQGWgZgBlQGOQYcBgcF+QXlBccFpgWNBXoFZgVOBTUFIAUNBPoE5QTRBL0EqgSWBIAEZgRLBDEEGgQEA+oDzAOmA30DVQMzAxgDAALnAssCswKhApUChgJuAk0CKQIEAd0BtgGRAW4BTgEyARkBAwDtANUAuACUAGwARAAiAAT/5v/F/6D/e/9X/zX/E/7u/sP+lP5l/jf+B/3Y/az9gv1Z/Sz8/vzQ/KT8e/xW/DD8BvvZ+7D7ivti+zT7B/rg+rn6j/pj+jr6FPnt+cP5nPl6+Vr5Pfkg+QH44Pi/+KP4ifhs+Er4JPf699H3qveI92f3Rvcn9wr27fbL9qf2g/Zj9kb2K/YQ9fb12vW99Zz1ePVV9Tb1HPUE9Ov00/S79KL0hfRp9E/0OfQh9Arz9PPi89XzzPPD87bzqPOb85TzkPOM84rzh/OC83rzdPNy83Hzb/Nv83LzePN/84rzmPOj86vzs/O/88zz2fPq9AD0F/Qq9Dz0UPRm9Hv0kvSu9M306vUG9Sf1UfV89aL1wvXf9fz2HPY89lr2d/aV9rT20fbs9wr3K/dM9273kve499v3+/gh+FH4gfip+M/4+Pkg+UL5YfmF+a350vn3+iD6Sfps+o36tPrd+wD7Hfs8+1/7f/ua+7j72vv6/Bb8MPxL/GX8gPyg/L781fzs/Qv9LP1J/WL9gP2h/b391f3y/hP+Lf5C/lz+ff6a/q/+w/7Z/u//C/8y/13/ff+Y/7v/5gANAC8AWACGAK4A0AD+ATYBZgGHAakB1wIHAjQCZAKVAroC1gL3AyADPwNUA3MDngPAA9MD6gQUBE4EmwUBBVMFWQUjBQoFLwVYBVcFXAWKBa4FmwWCBY0FcwUBBLoFTgaAB1gHhQfJCL0J2go+CeMJXwjTB9YGYAUhBMIFOwYQBuMHjAfeB48GbASEAkMAUP8p/sv+x/64/oz+XP4x/gH9x/2E/Tb84PyO/Ff8RfxQ/Gb8kfzs/XX94v3j/ZL9Zv2O/aL9J/xA+4D7JPrc+lj5uflX+Ub5Xvl6+Yz5j/l6+Uv5A/ik+D734/eL9yD2qPZF9gX1y/WI9Vn1UfVP9TL1DvUC9Pj0vvRT8+nzpvOA82jzZPN184vzl/Oa85bzh/Nu81PzQfM38y/zJfMS8u3yt/Jw8hbxrvFM8Q7w9/Dy8PPw/PEQ8STxMPE98VPxb/GN8bHx3vIN8jnyYfKH8qzy1PMM81TzovPr9C70cPSy9PH1MPVv9bD19/ZE9pH21vcS91D3lffZ+Bn4Wvij+Or5Kvli+aD56Po4+oz64/s4+4j71fwj/HL8wv0Q/Vn9oP3n/jD+fP7N/yH/dP/BAAgASwCMAMgA+wElAUoBbQGRAbkB4QIEAiECPwJlAo0CrwLMAu4DEwM4A1sDgAOiA7gDxAPSA+cD+wQNBCEEQARkBIkEsQTZBPcFBwUWBTMFYQWVBcgF9AYTBiIGLAY8BlUGcgaUBr0G6wcSBysHNQcuBxoHAQbxBvAG+gcIBxgHJQcwB0AHWgd4B5IHpge8B9YH7wgHCCEIPAhUCGUIdwiNCKcIwwjkCQcJLglaCZIJ3Ao1CpUK9QtEC3cLlwu8C+wMEAwUDAML9wv6C/wL8gvbC7wLlAttC1ULVQtdC1QLMwsCCtMKsAqfCpwKoAqiCqYKsQrACsIKsgqcCpMKnAqoCqoKnAqGCmsKUAo3CccJqgmGCVQJCgihCCcHtgddBxgG2gagBngGcAaLBsIHBgdLB4gHrwewB4UHSQcfBxkHKQdGB3UHuQf0CAoICwglCGYIowiuCIgIYQhfCIkIwwjiCLoIRAetBzAG6QbGBqUGcgYsBdoFjAVJBREE3wSzBIwEWwQWA8gDjANoA0QDAwKrAlgCGwHnAaMBQwDMAEv/0/9o/wT+pP5K/gH9yP2Z/XP9Yf1q/YL9lP2V/Yz9hP14/V39Nf0Q/P/9Af0H/QX8/fzr/L38Zvv3+5z7cPtk+1r7Uvti+437tvvJ+9j7/Pwr/Dr8F/vZ+6T7i/uM+5/7tPu4+6D7dvtJ+yP7Cfr5+u764PrN+r36svqn+p/6qPrD+t366/ry+vb65vq8+p36svrp+v760/qY+o36tPre+t/6s/po+hD5uPll+RH4s/hQ9+j3a/bV9kL13fWp9Xv1NPTj9K70mvSO9G30L/Pa83rzKvL78uvy3/LE8pTyVvIU8dXxnvFo8Sjw2vCS8F/wN+/976HvK+6k7gftVuyx7EHsCOvc65nrSesV6wvrEOsK6u/qwuqH6lTqUeqT6vbrO+s/6x/rBusC6wHq8ura6r3qmOpr6j3qHeoK6fXp0emg6WvpOekI6Njoqeh86E3oG+fp57fnfOcu5tPmeeYl5cvlZOT25JHkM+PS42fi/uKg4krh8+Gb4Ubg9OCc4D/f4t+K3zDe0t523iLd092G3T7c+ty03GbcF9vT25vbYtsg2t7apNp32lLaNNoa2gDZ79n92i3aUdou2bzZOdjs2NrY09i22I7YcNhZ2DzYINgS2A3YAtfy1+XXzteM1xrWqdZy1oPWv9cD10nXl9fv2EnYl9jQ2OvY4Ni12ILYbNiL2NHZHtll2bDaCdpo2sPbKNuk3C3crd0d3Yfd+t573w/fs+BW4OjhdOIO4rfjW+Px5IjlLOXU5n/nOOf76KfpK+md6hLqd+qu6r3quuqe6mjqVeqy62Hr2evC63frouyE7c7vHfBP8V/yMfKv8vLzMfOH8/X0fPUk9dv2gfcL94f4Avh1+Nz5O/md+gP6cPrh+1T7xPw3/K/9HP1j/Yj9rP3m/iz+Zf6R/r3+7f8Y/0b/i//tAF8A1wFZAeUCaQLVAy4DhgPtBGYE6gVoBdEGIwZqBrAG+QdJB6gIFwiFCN4JJAlmCbAKBgpuCvALfAvxDDIMRgxUDIcM7g2GDkIPDg/HEEIQexClEQwRxBKYE04T6BSBFQwVSRUpFPcVFBWKFgwWVxZ7FqoW/BdrF/sYsBlcGbEZmxlZGTQZLRkaGQMZGxlsGbwZ2BnNGbkZlxluGXYZ0BoqGhAZixkSGLsX5BYEE5cR3xG5EwAU9hb0GJQZohonGmkaqRrgGuYavhqYGo8ajhp/GmYaVBpWGnYasRrvGw4bBRrlGsEalRpaGhsZ7BnTGdIZ6xoWGjkaOxoeGf0Z7RnqGeYZ1xm/GaMZixl2GWIZUhlNGU8ZSxk7GSoZJxkrGSYZGRkXGSoZQRlHGTgZHBj4GNEYsBieGJUYihh8GHMYcBhkGEsYKxgPF/AXzBepF5QXjBeGF3YXXRc7FxAW4ha/FqwWkhZUFe4VfhUpFPwU5xTXFMsUyBTHFLEUgxRgFHkUzRUXFRIUthQ/E+gTvxOyE68TrBOdE3sTXRNjE5UTxRO+E3kTJhL2EuISuRJfEe4RjxFIEQUQxBCXEIUQdhBLEAQPsw9qDzMPFg8KDvQOug5kDhQN4g3EDZoNVg0GDMUMnwyIDGoMOgwAC8kLnwuEC4ULpQvJC7kLXgrrCr8LBwuAC7QLaArTClwKJQn8Cb0JkQm7CikKdwpVCeMJfQlWCVEJPwkWCOoIyAinCHcIPwgcCCUIRghCB/IHdgcfBxkHRgdkB1UHKgb6BswGnwZ7BmMGSwYuBhsGHwYzBkEGPgY2BjgGQwZMBlAGTQY/BiYGCAXxBeMF0gW3BZMFaQU5BQgE6AToBPwFBATqBLsEmQSZBK8ExQTNBMoEwgS2BKcEmgSSBJIEmQSiBKsEsgS7BM0E6AUDBRYFHwUjBSMFJQUyBU0FbgWIBZgFnwWhBaQFsAXNBe4F/QXzBeEF1gXbBe8GEgY8BlsGagZ4Bo0GlQZ2BjwGEwYaBkMGZwZyBmcGUAY1BhgF/AXjBcsFtAWjBZgFjAV5BWEFSQU0BSEFDQT3BOEEzAS4BKEEiARtBFIEOAQeBAUD6QPIA6IDeQNTAzIDFgL7AuICzAK9ArICogKHAmYCRAIkAgMB4AG7AZcBcwFSATcBIAEKAPQA2wC9AJkAcgBNACwAC//n/8H/m/91/1P/Mv8P/ub+uf6O/mX+Of4L/dz9sP2F/Vj9J/z2/Mn8ovyB/F78NfwJ+9/7uPuN+1/7MfsI+uD6t/qM+mT6PvoX+e75x/mk+Yb5aflM+Sv5Cfjn+Mn4r/iU+HX4Ufgo9//32fe395X3cvdQ9zL3FPby9tD2sPaU9nf2WfY79h/2A/Xm9cf1pPWB9WP1SvUz9Rn0/vTk9Mr0r/ST9Hj0YPRJ9DL0HPQI8/rz8fPr8+Lz1vPJ877ztvOw86vzp/Oh85nzk/OR84/zj/OR85bzm/Oh86vzt/PA88bzzvPd8+3z/PQN9CP0OvRN9Fz0bvSC9Jf0rvTJ9OX0//UY9Tf1XPWE9an1y/Xr9gr2KvZM9m32ifal9sT24/cA9xz3O/dc9333n/fC9+T4Bfgs+Fr4iPiw+NX4+/kh+UL5YvmF+av5zvny+hv6Q/pl+oT6qvrT+vb7FPsz+1b7dfuS+7D70fvw/Az8Jvw//Ff8cvyU/LX8zvzj/P/9H/06/VL9b/2R/bD9yv3n/gT+HP4w/kj+ZP59/pL+rv7M/ub+/P8c/0X/af+G/6j/0v/6AB0ARQByAJgAuwDnASEBVwGBAakB1AH9AiUCVQKHAqsCvgLRAuoDAgMZAz8DcgOcA7oD2gQFBDoEigT1BUQFPAUABPIFJQVJBT0FRAWEBa4FjwVyBZUFowVFBPcFdQaHBzcHRweSCKcJ3ApGCfYJiwkKB/sGhQWOBasGewdOB+EINAgWBzQFiQN5AYgAG/9W/xP/Av7o/sH+nv59/k7+Cf21/Vv9Afy5/Jb8mPyt/MT86f04/bD+C/4F/b39nf3G/c39RPxc+677bPsx+pj5zvlL+Uf5lvny+jv6bfqD+mv6Gfmh+S34z/hm98v3GfaQ9kf2E/XW9af1l/WH9V71NfUo9Rr00fRK88DzYvMv8xzzKPNM827zfvOD84PzefNe8zXzC/Lu8ury/fMX8yDzEPLe8oXyCfGM8TfxFvEW8SfxQPFY8WTxafFy8YbxnfG18djyB/I48mHyhvKs8tDy9vMo823zuvQE9Ef0ifTJ9QT1PvV69bz2AvZN9pn24fch91/3n/fg+CL4Z/iv+PX5Nflx+bL5+/pJ+pv67fs8+4r72fwq/Hn8xP0N/Vb9n/3p/jX+g/7R/yH/c//FABIAVwCVAM0A/wEsAVQBdgGYAb8B6QIRAjMCVQJ+AqQCwgLeAwIDKwNNA2YDgAOaA6wDtwPKA+kEAwQQBBsENARZBIEEpwTLBOwFBgUhBUUFbwWXBboF3AX7BhIGJgY+BlsGeQaaBsAG6AcJBx0HJQceBwgG7QbdBt4G6Qb3BwUHEQcbByoHQAdaB3AHgweaB7kH2wf5CBQIKwg5CEMITghgCHYIjgiqCMoI7wkXCUQJdQmwCfwKXQrGCyQLcQu2C/IMEwwNC/ML5wvxC/oL6wvHC50LdAtRCzsLNQs5CzMLGQryCscKogqGCnUKbQprCnIKggqQCo0KeAplCmoKhAqZCpIKcApDChoJ+gngCTgJDgjjCLIIbggRB6UHPwbrBqYGbAZCBjEGPwZlBp0G4wc1B4wHzQfdB7QHbgc1BxoHEwcbBz8HfQe2B88H4AgVCHQIwwjNCJcIWghLCHAIpwi6CIYIEQeLBx0G0gabBmkGNwYABb8FewU8BQMEzwSjBH4ETgQBA6YDXwM4AxMC0gJ+AjcCCgHeAZMBIwCeABX/lP8e/rf+Xf4Q/c/9mv1x/Vb9Tf1U/WL9aP1i/Vr9Wf1X/UT9HPzz/OH86Pz1/Pf87PzW/Kj8WPvz+5z7a/tV+0P7Nfs9+137f/uU+6/73/wU/CT8APvC+5L7f/uH+6H7v/vL+7f7ivtX+yv7CPrv+uD61PrF+rT6p/qe+pf6mfqo+rz6zfrY+tv6x/qe+nz6hvqv+sj6svqJ+n/6n/rC+rn6ePoZ+b75dfkw+Nv4evgf98f3Uvay9gz1lPVW9Sz0+PTC9J70jfR69FD0BvOh8zby5fK+8rfysvKc8m/yLvHj8ZzxYfEq8Ojwn/Bi8DrwD+++7z3up+4e7aLtIuye7DDr6+u864LrPOsH6vvrB+sF6uHqp+py6mDqfurA6wTrJusi6w/rB+sG6vXq0Oql6oHqYuo96hfp/en06ejpyOmR6VTpHejr6LjohuhX6Cfn8ue854jnUucR5sXmdeYk5czlaeUA5JrkN+PS42vjCeKw4ljh/uGm4VThA+Cs4FDf9t+h30ne696N3jfd6d2c3U/dA9y43G3cJ9vp26vbaNsi2uTasNqE2lvaN9oW2fXZ4Nnx2inaV9o+2dLZTtj42NvYztiz2IzYbNhR2DTYF9gE1/bX5NfR18fXtdd41wbWjtZR1mLWmdbG1uDXANcz13XXt9fy2CDYNtgw2CTYM9hp2LXY/9lJ2aLaB9po2sTbLduw3Dncrt0O3W/d5N5t3wrfsOBN4NnhZeIH4rbjWePv5IvlOeXo5pTnR+f/6J7pFumD6fzqaeqt6tLq7err6sDqresR69vscOxh6/br3Oxq7XjuyPA+8avytfMp8z3zVfOj9B30tfVp9iX2xPc796b4Hfib+RD5d/nY+jv6o/sS+4P79fxx/Pr9e/3R/fT+DP5A/ov+z/7//yX/Tf9z/5z/2gAyAJsBDAGIAg8ClAMGA2UDvQQhBJkFHwWhBgsGXAajBuoHMQd5B84IOQisCRAJYAmrCf8KYArPC1EL1wxCDHkMiwymDPENcw4ZDtEPhxAgEIEQqxDVEUISBRLnE6UULxSmFRMVVBVWFUsVfBX0Fm8WsxbRFwEXXRfTGFMY1Rk5GUgY+xicGIEYshj1GSAZRBl2GawZ1BnoGdQZdxjkGH0YlxkNGWgZYxkZGJkXnhX3E/sSdRIAErQURBY9GBYZZRoUGmwatBrwGv4a4RrCGrsavBqvGpcahBqLGrQa9hsyG0MbKBr+Gt8axxqjGm8aORoUGgwaJRpMGmQaXhpGGjYaLhojGg0Z7xnPGbAZlRmEGXsZdBlqGWAZWBlQGUsZShlFGTgZKhksGUEZWBlhGVkZRBkiGPcY0BizGJwYghhuGGcYZhhbGEIYKBgVGAIX6BfKF7EXoBeWF5IXhhdnFzkXERb1Fs0WfBYMFaMVXRUzFRQU+RTiFM8UwRS5FKwUlhSMFLQVFRVtFW0VARRqE/gTyhPIE9AT0BPEE7ATnBOYE6kTvhO1E4ETPhMVEwgS7BKdEisRwhF2ETEQ5RChEHsQcBBfEDEP6Q+eD28Pbg+HD4gPSQ7WDmAOEA3fDbINdA0wDPcM1Ay+DJ4MaAwfC9ULnQuGC5ULvgvfC8wLeQsPCtEK5AsnC0sLIQrHCoIKZgpECfIJlwmCCcYKFwogCdsJgAlDCSsJIwkWCPoI1Qi3CJ0IbwgoB/YIAggqCBcHqwcyBwkHMgdcB1MHKgb/BtYGpwZ9BmIGTwY2BiQGKwZCBlAGSQY+BjwGPgY9BjsGPgY8Bi0GFQYFBfwF7gXTBbEFiwVeBS0FBgUBBRoFNAUuBQME0QS5BMIE2QTpBOoE4gTWBMYEtgSqBKQEpgStBLYEuwTBBNAE6wUJBR0FJQUlBSMFIQUoBUAFYwWGBZ0FqQWsBasFsAXEBeEF+QYFBgQF+gXrBewGDgZHBnEGeQZyBnkGfwZiBiUF+QYDBjUGYQZxBmwGXgZIBicGBgXtBdsFzQXDBb4FuQWrBZIFdQVcBUsFOgUlBQsE8ATXBMAEqgSSBHUEVgQ4BBwEAgPjA78DmANzA1EDMwMZAwMC8QLjAtQCvwKhAoACYQJFAigCCAHmAcEBnQF7AV0BQgEoARAA+gDgAL8AlwBuAEkAJgAD/97/t/+R/2z/Sv8n/v7+0/6r/oj+ZP47/g/94/26/ZD9Yf0v/P/81fyy/I78Zvw5/A374vu2+4j7Wfsu+wT62vqy+oz6Z/pA+hf58PnN+a35j/lx+VD5LfkL+Ov4zviy+JX4dPhN+CX4Affi98D3m/d591v3PPcc9vz24PbE9qb2hvZm9kj2KvYM9e31y/Wp9Yr1cfVa9UD1IvUG9Oz00vS49J70hvRv9Fn0RPQw9CH0GPQV9BH0B/P68+zz4fPY89PzzfPF87zztfOy87Dzr/Ox87XzuvO+88Xz0PPY893z6PP69A70H/Qv9EP0WvRt9Hz0jvSj9Ln0z/Tn9P/1FvUv9U31b/WR9bT11/X69hn2OPZa9nv2mPaz9tP29fcT9y33S/ds9473rvfP9/D4Efg1+F/4iviy+Nb4+/ke+T75XvmB+ab5yfnt+hX6Pfpf+n/6ovrI+uv7Cvss+077bPuH+6X7xPvi+/78G/w2/E78Z/yG/Kf8wPzW/PT9Fv0x/UX9Xv1+/Z/9u/3X/fP+C/4g/jn+Uf5j/nX+kv63/tX+6/8I/y//Vf91/5n/xP/rAA0AMgBcAIQAqADUAQwBRAFzAaIB0AH5Ah8CSwJ3ApMCnQKpAsAC2wL4AyIDVQOCA6YDywP0BB8EYAS3BPIE4QSxBL0FAQUiBQoFFAVlBaMFjgV3BaIFtgVcBQsFeAZkBu0G+AdmCJ0JzwopCe4JvglkCEsGyQYABnEHawgRCDsIGAeEBjYEUwJvAP8AG/+g/2L/O/8Y/v3+7f7U/pr+Qf3h/Yj9O/z//N/85P0F/S79V/2I/cP95v3N/Y79cv2N/Y39Ifxx+/L7wPt6+sn54/lN+U/5u/o4+pn63/sK+wH6s/o5+cj5bPj1+Dv3a/bW9oz2WPYa9ef10/W+9Y71XvVM9Tn06PRU87PzNPLn8s3y4vMR8znzS/NU81/zYvNO8yDy5fKy8p/ytfLi8wvzHvMQ8tHyYfHc8XDxNfEu8U3xfvGm8bLxrvGy8cLx1PHo8gryO/Jp8ozyrvLW8v7zI/NP84zz1PQc9GL0qPTp9SH1U/WM9c32E/ZY9p/25vcq92r3p/fm+Cn4cfi6+QD5QvmD+cX6CvpW+qf69/tD+4373fww/ID8yP0O/VX9n/3s/jv+if7U/x3/av+9AA4AWACZANMBBwEzAVoBewGdAcYB9QIgAkQCZwKNArECzALnAwwDNQNTA2QDdgOMA5sDpQO6A94D/gQMBBUELgRVBH0EnwTBBOIFAgUiBUkFcgWUBbAFygXmBgIGHgY/BmEGggajBscG5wb7BwMHAwb+Bu8G3gbTBtMG2wbmBvIHAAcMBxkHLQdFB1sHbweFB6EHwAffB/oIDwgcCB8IIwgtCD8IVghyCJUIvgjqCRIJMQlPCXsJxwozCqkLGQt8C8sL9QvzC90L1wvpC/QL3wuuC30LWgtACyoLGgsUCw8K/wrhCrkKiwpcCjYKIAodCikKPQpLCkkKOwozCkEKXApmCkwKFgnaCasJhQlhCJIIXQg4CBsH8we3B2sHGwbRBo4GWgZABkUGYQaLBr4HAQdXB7MH+ggPB+sHqAdpBzwHIAcXBysHWweKB6kHyAgHCF4IowixCI0IXQhCCEoIYwhoCDYH1AdjBwQGtwZ1BjsGCwXeBa0FegVIBRUE3ASmBHgEQgPxA44DOAMAAs8CjgJFAhAB8wHNAXsA/ABn/9T/Tf7W/nP+I/3f/Z/9aP1D/TX9NP00/TH9LP0q/S79Of09/Sv8//zN/LT8uPzI/Mz8v/yl/Hr8PPvz+7T7i/ty+1v7SftK+1z7c/uF+6H70vwC/A777vu9+5j7iPuH+5L7pvux+5/7c/tA+xj6+vro+uL64vrg+tf6zPrD+rr6sPqt+rT6vvrC+rn6oPp6+lr6Vvpx+o/6kvp3+mD6afqF+of6S/nh+Xj5Kfjj+Ir4J/fX95f3PPap9fz1bfUR9Nr0sPSS9IH0ePRp9Ef0BPOg8zTy5fLA8rTypfKD8kzyA/Gw8WXxK/D58MDwgPBI8Brv3e9w7tLuK+2s7VztGuzE7Frr+euv63HrNOsH6vfq++rx6sjqlep+6pTqx+r46xPrFusQ6w3rDOsC6uXquuqM6mbqQ+og6gDp7unp6d/pvOmB6T/pBejR6J3oaeg46Afn0OeT51vnKObz5rTmauYa5cblauUI5KHkOePR42/jFuLB4mniC+Gw4V3hDOC24F7gCN+031re+t6d3krd/t2y3WPdFNzG3H7cO9v627LbZdsc2uHas9qG2lraNNoT2fLZ3dnt2iPaUto+2drZWtj82NTYxtiy2JDYbNhK2CvYDtf119/Xx9ez16zXoddw1wvWltZR1lPWfdac1qTWqdbB1unXGddN14TXsdfP1+jYEdhS2J7Y6dk+2abaGNqB2uLbT9vQ3FHcvN0V3XXd7t5+3xzfu+BM4NDhXOIA4rDjVePu5JHlQ+Xz5pznSOf06InpBOl/6grqhurV6wfrMus96xTq+uta7DHs5+z47IvsO+xu7SnuYPAF8cnzIfO889bz6fQz9Kf1NPXe9pH3JPeD98/4Mfiv+TP5rPoY+nn62vtD+7X8K/ys/T79zv41/mT+fP6p/u3/Lv9e/4b/rf/U//4AOACIAOYBTAG+Aj8CxQM+A6MD/gReBNIFWAXbBkUGlQbbByUHbQevB/gIWQjKCTYJkQnnCkQKrQsfC5gMEAx0DLUM3Q0PDWUN5w6EDykPxRBIEKYQ5xEtEaISVBMcE8cUQxSpFRIVbhWjFcAV8hZIFqEW2xcDF0MXoxgIGFgYlRi6GLEYeBhBGEgYlRj1GTkZYBmBGawZ4RoTGh0ZzhklGHYYORiXGUIZtRmYGN4XrBY1FLkThBLkExEUFRW2F34Y9RnnGm8awhr7GxUbFBsJGwEa+RrnGssathrAGvIbORtuG3MbUBsjGwMa6xrNGqQafBpiGlwaZxpzGnYabhplGl4aTxozGhIZ+BnlGdEZvhm0GbQZshmkGY4ZehluGWgZZRleGVQZTRlTGWUZdhl+GXgZZhlHGSAY/BjcGLsYmxiHGIAYdxhbGDYYHxgaGBcYCRfxF9IXtReoF68XsReRF1gXLBcPFtQWXBXRFXYVVRVDFSEU/BToFNoUxRSxFKcUnRSTFKgU8xVOFWYVExSFFBQT6hPxE/0T+RPtE+IT1xPJE7sTsxOjE30TShMjExIS9BKmEjcR2BGeEWwRIxDPEJgQhxB+EFQQBw+4D5QPrQ/gD+wPqA8kDpwOOA34DcYNkg1fDTUNFgz6DNYMnQxPC/wLugufC6wLyQvTC7QLdAsvCv0K6QrvCvcK6QrGCqkKngqECjkJ0QmRCZwJzwnnCcYJfAkvCQAI/QkLCQMI4QjFCLsIlgg3B94H4ggwCEoH4wdKBwIHIQdNB0UHGwb4BtgGqgZ9BmQGVwZFBjUGOwZQBlcGSgY9Bj0GPAYyBisGMQY6BjYGJwYdBhgGCwXxBdAFrQWEBVMFJwUVBSUFQgVMBTEFAQTeBNwE8AUDBQcFAATzBOQE0wTFBLkEtAS3BL8ExgTMBNcE7gUKBR0FJAUjBSEFHwUkBTkFXgWFBaEFrQWtBakFqwW5BdQF9gYYBi8GLwYZBgYGFQY/Bl4GWwZOBlkGcQZtBkMGGwYcBj8GYAZvBnMGcQZjBkYGJQYOBf8F8gXoBeMF4AXVBb0FnwWGBXUFaAVUBTcFFQT2BN0ExwSvBJEEbwRQBDQEGgP9A9sDuQOZA3sDXwNGAzADHwMOAvkC3QK7ApgCegJfAkQCJgIIAegBxgGkAYQBZwFKATABGQEBAOAAtQCHAF4AOwAY//b/0v+t/4n/Zv9D/xv+8f7L/qv+jf5r/kP+Gv3z/cz9of1x/T/9D/zl/L38k/xl/Db8CPvb+637fvtR+yX6/PrW+rL6jfpn+j/6Gfn1+dP5s/mU+XT5U/kx+RD47/jR+LX4lfhw+Er4KPgK9+n3xPei94T3ZfdE9yX3Cvbw9tL2sfaQ9nL2UvYy9hL18fXR9bP1mfWA9WX1RvUp9Q/0+PTi9Mr0svSa9IT0cPRd9E30Q/RA9D30NPQk9BP0BvP/8/rz9PPq89/z2fPW89Pz0fPQ89Tz2PPb8+Lz6/P08/v0B/Qb9DD0QPRO9GH0d/SM9J30sfTH9N708vUI9R71NPVP9W71jfWr9cr17vYQ9i72SvZq9or2pfa/9uD3A/ci9zv3V/d69533vPfb9/z4Hfg++GL4ivix+Nf4+/kd+Tz5W/l9+aH5xfno+hD6N/pb+nv6nPrA+uL7Avsk+0X7Yvt8+5j7t/vT++/8Dfwr/ET8W/x4/Jb8r/zG/Ob9DP0q/T79U/1v/Y39qP3D/d799v4N/ij+Qf5S/mH+e/6e/r3+2P75/yH/Rv9l/4n/tf/fAAAAIwBKAHAAlADBAPkBLwFhAZQByQH4Ah4CQgJhAm8CcgKBAqACxALmAxADQgNtA5EDuAPeA/4EIwRYBH8EegRwBKUFAAUlBQoFDwVeBaIFmwWQBbQFswVHBO0FRwYOBoMGsQdlCMgJ7gowCg8KHQnmCL0HKAZ6BxoIEwhkCAUHWwZlBPIDOQHEANcATv/y/7H/hv9o/1T/RP8h/tj+dP4V/cv9jv1U/Sr9K/1e/ar94f3n/cb9lf1a/SL9BP0J/Qv82/yI/Ef8HfvG+xL6NPmf+ZP57PpZ+q366fsS+xL61Ppv+g75tvk1+HP3qPcf9tf2lvZF9gr1+vXu9cT1kfVy9VH0/PRt88jzNPLM8p/yrvLa8vrzCfMZ8zLzQ/M68xLy1/Kd8n/yifKu8tXy8/L/8unypfI58cbxcfFT8XTxu/H38gryBfIF8hPyIvIy8lDyevKf8rjy1vMA8y3zUvN6867z7PQu9Hb0w/UK9T71afWc9d/2JvZq9qv27/c093b3s/fx+DX4fvjG+Q35UvmV+dP6EvpY+qn6+/tG+4372vws/Hz8xf0L/VL9nP3n/jb+g/7K/w3/U/+j//gASwCYANoBEQE8AV8BfAGbAcUB+QIqAk0CawKLAqoCxALgAwUDLQNHA1UDZgN8A4wDlwOqA8sD7AQABBEELgRWBHoEmgS9BOIFAgUeBT8FYgWDBZ8FuAXRBeoGBgYpBk8GdgadBsIG3QbkBtkGzQbIBscGxQbDBsMGxgbOBtwG7Qb8BwoHHAc1B04HZAd5B5IHrAfFB9sH8Af9CAAIAQgJCBwIOAhaCIAIqQjRCPMJBwkTCScJWQmxCiEKmAsMC3MLugvUC9ML0wvfC98LvguJC18LTAtACycLBgrsCt0KzAqyCooKVQoYCeEJxAnHCd8J+goLCg8KCQoFCgYKBwn0CcQJhQlPCSgJAQjOB/0Hywe3B7IHogd9B0cHBwbFBoYGVwZFBlIGcgacBs8HFQdtB8cIDQgpCBkH6QetB3YHTAc3Bz0HVwd4B5kHvwfpCBEIMAhHCFUISAgfB/IH3wfeB8cHhQcpBtQGkQZZBigF/QXTBakFggVeBTIE9gS1BHoEPgPsA4YDJQLZApcCUgIQAeYB0AGuAV0A1gAy/4//Av6S/j39+f21/W39L/0P/Q39Ev0K/Pv89/0E/Rn9J/0k/Qb80PyW/HX8c/yB/Ij8f/xp/En8JPv8+9r7wPuo+5D7fft1+3b7ePt9+5P7v/vt+/z75/vH+7D7ofuR+4b7hfuB+2X7M/sE+un63/rg+uv7APsT+xz7Hvse+xT6/Prj+tb60vrH+qj6ffpO+ib6Efoe+kT6YfpX+jX6KPpD+lr6L/m++T/43/iU+Dv31/eL91n3Fvab9ff1W/Tm9Jv0cvRg9Fn0VvRT9EX0GPPD813zDPLd8r7ymfJl8iXx1/GE8TrxA/DZ8KzwefBB8ALvq+8q7oPt3+1u7T/tLez/7J7sJeu6627rN+sR6vjq5+rR6rXqqOq/6vPrIusx6yTrFOsQ6xPrC+r06tbqtuqU6m7qReog6gPp8enk6c3poull6Sbo8Oi96IfoT+gc5+rnsedy5zfnBubX5p/mWeYM5bzlaeUO5KvkQuPa43rjI+LP4nbiF+G64WXhFODD4G/gG9/D32ffCN6u3l7eFN3J3XvdLdzi3JjcUNwC26vbU9sK2tXaq9p/2lPaL9oQ2fLZ4Nnx2iTaT9o72d3ZYNj+2M/YwNiy2JPYadhA2B3X/9fh18LXqNea15nXltdx1xzWrdZZ1kPWXdZ81orWjtaZ1rDW0db51yjXWteI17bX8Ng32IfY29k92bDaK9qc2wPbcNvq3GXczt0s3ZHeC96Y3y3fv+BF4MfhVeH64qrjUuPy5JflRuXx5pTnNufY6Gro8emF6irquesU603re+uI61vrN+uJ7F/tNO137SnswOyn7QzuDu+u8ZnzM/Qd9IT0zvUs9ZD19/Z19wf3hPfR+Ab4Tfi7+UT50PpN+rX7FPt6++r8Yfzh/XP+CP59/sP+7P8a/1H/hP+v/9oABwAyAF0AlgDiATkBlQH9AncC+gN2A+EEQASiBRYFmgYbBoQG0wcaB2QHrAfrCC0IgwjtCVgJuAoUCncK4wtSC78MJwyGDNoNJA1vDcgOOQ7CD1MP3RBYEMsRPRGzEjASuxNME9UUTRTCFUIVvRYRFjkWTxZyFqQW2xcbF20XxhgJGCYYLBgsGC0YLBg2GF0YoRjvGTAZYBmMGb4Z+RowGk8aMhnAGRwYrxjiGacaXxpZGWsYCxa/FbgU4xRMFCsUqBWxFwwYcxmhGmgazRr/GyobTRtYG00bOhskGwca8xsCGz4biBu1G7IbjhtiGzwbGBrzGtIauxqyGq4apBqTGoUagRqBGnYaWBoyGhYaDBoHGfwZ7BnlGeYZ5RnYGcIZqhmXGYgZfxl6GXkZexmCGY4ZmRmaGY4ZdhlXGTYZGxj/GN0YvxixGK8YnhhzGEUYLxgwGDAYJRgOF/AX0BfBF8oXzherF20XOxcVFscWPBW0FXQVcBVeFSUU8BThFOIU0RS6FLAUqBSOFH0UoRTuFRwU9RSTFD8UJBQwFDcUKBQOE/4T+BPuE90TyhO0E40TWBMqEw4S6RKbEjQR5BHCEa0RexEvEPEQ0BCxEHEQEQ+9D6EPxQ/7EAEPtg82DrUOVw4WDeINsg2JDWkNTg0wDQcMzQyDDDUL9AvWC9cL3QvJC5wLcwteC0wLKAr9CuIK2QrSCsUKuQqiCmcKDQm8CZ8JtQnbCeYJvwlrCRsI/QkJCQ4I8wjaCNIIrAhDB98H6QhQCH0IEQdgBwMHFwdABzUHDgb0Bt0GtAaJBnQGbAZcBksGTgZdBl4GTQY/BkAGPgYwBiUGKgY2BjkGNgY2BjYGLAYUBfYF1QWtBX0FTgUuBScFMgU9BTQFFwT9BPkFCQUaBSAFGwUPBP4E7gTfBNIExwTEBMsE1QTdBOUE9QUNBR8FJwUmBSMFIAUiBTMFVgV/BZ4FqgWqBacFqQW3BdEF9gYiBkYGTwY5BhsGFQYnBjQGLAYmBkEGdgaXBo8GcgZiBmQGbQZ0Bn8GiAaEBm8GUQY3BiIGEQYFBf4F+AXuBdoFwgWsBZwFjQV4BVoFNwUUBPcE3gTFBKcEhwRpBE8ENQQYA/gD2gO/A6cDjgN2A2ADSgM0AxoC+gLXArMClAJ3AloCPwIlAgkB6QHFAaQBhQFpAU8BOAEeAPsAzQCeAHUAUQAwABD/7//Q/7D/j/9t/0f/H/75/tn+vP6d/nj+UP4p/gH92f2s/Xv9SP0X/Or8vPyO/F78LvwA+9H7oftz+0f7IPr8+tf6sfqK+mX6QPob+fn52fm7+Zz5fflc+Tr5F/j2+Nj4uPiV+HH4Uvg2+BX38PfN96/3kPds90v3MPcX9vv22/a79pv2efZW9jf2GvX99eD1xfWq9Y31bvVR9Tn1I/UP9Pn03/TF9K/0nfSN9Hz0b/Ro9GP0VvRD9DD0JPQf9B30F/QN9ALz+/P68/jz9fPy8/Xz+/QA9Af0EfQb9CP0L/RA9FH0XvRr9H30lPSp9L701PTr9QH1FfUp9T/1V/Vy9ZD1rvXJ9eb2B/Yo9kT2X/Z+9pv2s/bL9uz3D/ct90X3YfeG96n3xvfk+Ab4KfhJ+Gn4jvi0+Nn4/vkh+UD5Xfl8+Z/5wvnl+gr6L/pS+nT6lvq4+tn6+PsZ+zr7Vvtx+477rfvI++L8APwe/Db8Tfxp/If8ovy6/Nn8/v0d/TL9SP1j/X39lf2t/cj94P32/hD+LP5F/ln+cf6O/qv+y/7y/xz/Pf9W/3b/ov/O//MAFwA9AF8AgACsAOMBGgFNAYMBvgHxAhUCLwJAAkUCSAJfAogCsALRAvkDKwNYA34DqAPQA+cD9AQQBDUETQRuBL8FJAVQBTsFOAVvBaEFoQWeBbMFkAUOBK0E8QWUBgQGbweDCSQKUgqTCogKqQpbCQIHXwbYB58IfAhiB3UGUwUpA9gCiwGaAQsAogBEAAT/5//U/7n/l/9k/xT+tP5f/iD96f2s/Xr9dv22/hr+Wv45/cf9SPzu/Lj8kvx+/IL8lvyl/KD8e/wd+4D6y/pC+hP6Mfpt+qD6xfrg+uP6vfp8+jb54vlb+Jz35fds9x/2w/ZX9hL2CfYQ9fj1xvWR9VL08PRq89XzRvLU8pnymPKw8r3ywvLX8vzzGPMZ8v/y1fKq8pDyj/Ke8qzyufLK8tbyx/KO8jPx1vGl8b7yDPJU8nDybfJt8nryh/KT8qfywvLU8uLy/PMo81bzffOk89L0BPQ89IP02fUn9Vv1fvWq9ev2NfZ79rv2+/c+94D3v/f/+EL4ifjQ+Rb5Xfmh+d/6F/pZ+qj6/PtI+4371/wn/Hb8wf0L/Vb9n/3m/jH+ff7C/v//P/+K/+AAOwCSANwBFgFBAWEBeQGUAbwB8gInAksCYwJ7ApYCsQLPAvQDGgMzA0ADUwNtA4UDkwOkA8ED4gP8BBcEOQRcBHgElQS6BOQFBAUaBTAFSwVqBYcFpAW9BdEF5gYDBikGUwZ/BqkGwwbBBqoGlAaQBpsGpgasBq4GsQa6BsoG3QbqBvUHBAcZBzEHSAdhB38HmweyB8UH1gfjB+cH6QfzCAoIKghPCHMIlgi1CNAI4wjtCPkJFglRCaYKDQqCCwELcQu5C9QL1wvQC7wLkQthC0YLQws7CxUK3AqsCo0KdwpcCjYKAQnBCYcJbAl4CZkJtwnKCdUJ1gnJCbAJjAldCSQI7gjICK0IhQhFB48HbgduB3cHbQdKBxcG3AadBmMGOAYmBi8GSwZ1BrEG/wdZB7EH+QgmCDUIIgfxB7UHgwdmB10HYQdzB5IHsge4B6QHnQfHCA0IIwfgB3YHOAc9B04HLwbiBpQGYAZBBiYGAwXaBbIFkgV2BUsFCgS/BHsEOgPrA4oDJgLOAn8CMwHvAcABpwGJAUEAugAH/0/+uv5T/g/91f2Q/T/8/Pzg/OP86Pzb/M782fz7/Rf9Gfz9/M78k/xb/Dn8Mvw7/ET8Q/w4/Cf8FfwF+/j76fvW+8L7sPuf+4r7c/tn+3j7pvvX++775PvP+8H7tfue+4P7bftW+yz69vrO+sP6y/rb+vX7GvtB+2D7ePuK+4f7ZPsy+w76/Prl+rT6cPos+fH5y/nM+fj6Kfox+hH5/foZ+jz6Hfmq+R34s/hm+A/3p/dP9xT21PZs9d31SPTL9HT0RfQz9C70LvQ29D70KvPp843zN/L38sHyh/JK8gfxu/Fp8SHw7PDH8KfwfvBF7/Pvg+757l3ty+1m7UHtQe0r7NjsVevT63TrO+sU6u/qy+qz6rnq4ush61brZetN6ynrF+sb6x7rCuro6s3qvOqm6oHqU+os6g/p9enW6a3peelA6Qro2+ir6HToOOgA58znlOdV5xnm5+a65ofmSOYA5bblaeUW5LrkV+Py45HjN+Lf4oPiJOHG4XDhIuDV4IPgLd/R33XfGt7F3nbeKt3e3ZHdRtz83K/cXNv/253bQdr72svapNp52k7aKtoL2e/Z4tn72jTaXdpH2enZbdkI2NTYwtiy2I7YXNgu2A3X79fL16TXiNeA14bXiddw1yvWxNZj1jXWP9Zj1oDWjtaY1qrWw9bh1wPXK9dY147Xztga2HDY0Nk72bHaLNqg2wrbdNvo3GPc2d1C3aneHN6g3yzfs+A14LvhUuH74qzjVuP75KDlR+Xo5oLnHOe16Eno3+mJ6j7q2utB64PrtOvA65TrZ+uj7GntUu3O7bXtUe0L7S3t7O9S8RryxfP99NH1evYK9nP2vPcI92b3wfgB+DH4cPjS+VT56Pp0+ur7Tvux/Br8iv0E/Y7+Hf6Y/vP/OP91/6n/0P/0ACMAVgCCAKwA5gE0AYsB4gJCArMDLwOoBBUEewTnBWAF4wZgBscHFwddB6UH6wgqCGsIuwkbCX8J3wpACqYLEQt7C98MOgyVDPUNWQ26DhYOfA73D34P/hB4EQMRpRJIEswTLxOJE/EUbhT+FZIWDxZWFmYWXBZhFocWyhcdF3AXrRfMF84XwxfBF9YYBBg+GHUYpRjZGRUZVRmSGdAaCRo0GlIaXxpAGeIZgRmbGlgbIRsZGgkYlBdwFrwWNRXJFaEVzhY/FvsYFBlYGlMazRsBGzsbfBuYG4kbcxtkG08bPBtQG5Ub4BwDG/gb1huxG4YbVRslGwEa8BrtGuYa0BqxGp8aoBqgGowaZxpIGjoaNhosGhwaDRoGGgIZ+hnsGdwZzBm6GacZmxmaGaEZqRmyGboZvxm6GaYZhRliGUMZKxkRGPAY1BjMGM4YvxiWGGoYVBhQGEYYMxghGA8X+RfpF+YX3xe7F4IXURcdFrsWKhW3FZsVqxWPFTsU8BTcFOAU0xS/FLwUuBSZFHQUeBSqFNYUzhScFHAUYxRrFGcUShQfFAAT+hQDFAkUARPkE68TbhM2ExES5xKeEkER/xHtEe8R2RGkEWkRMRDuEI0QHQ/HD60PyQ/tD+MPmg8uDscOew5CDg0N2Q2sDYwNdA1ZDS0M8QysDGkMMwwUDAoL/AvVC6MLjAuYC58LeAsyCvsK5grgCtMKvgqiCnEKJQnWCawJvQn/CkMKSgn5CYAJLgkcCR4JDAj2COoIvwhXB/kICAhuCJYIIwdsBwgHFAc3By8HEQcABu8GywakBpEGiAZzBlwGWwZpBmoGWgZJBkMGPAYuBiQGJwYxBjkGQwZRBlkGUwY/BiQGAgXYBaoFfgVXBTgFKQUoBSkFIwUaBRkFIQUsBTMFNAUrBRkFBgT3BOsE3gTWBNoE6AT0BPsFBgUYBSgFLgUsBScFIAUdBSYFQwVqBYsFnAWhBaEFpgWzBcsF7wYaBj4GSgY7BiEGFgYdBiIGGQYVBjEGbAakBrwGswaeBooGfgZ9BocGlAabBpMGewZaBjoGIgYUBgwGAwX3BegF2AXIBbcFpAWNBXEFUQUxBRIE9QTZBLwEoASFBGsETgQuBA4D8wPdA8gDtAOeA4YDbQNUAzkDGwL5AtYCtAKUAnYCWgJBAicCBQHgAbsBnAGAAWcBTgEyAQ4A4wC4AJQAdQBWADcAGv/+/+D/wP+f/3v/Vv8w/w/+7/7N/qf+fv5V/iz+A/3Z/az9fP1J/Rj86Py5/Iv8XPws+/v7yfuZ+277SPsk+v361Pqs+of6ZPpB+h/6APnk+cf5p/mG+WT5QPkc+Pr42Pi1+JX4evhg+ED4G/f499r3uveU93H3Vfc99yL3BPbl9sT2ofZ99l72RfYr9g/18vXT9bT1lvV79WP1TvU59SL1BvTq9NX0xvS49Kj0mPSM9IL0cvRd9Ez0QvQ+9Dz0N/Qt9CL0HfQe9B70HPQZ9Bz0JPQt9DX0PvRH9E/0WPRm9HP0fvSK9Jz0svTJ9N709vUO9SP1NvVL9WH1efWS9a71yvXj9fz2GfY39lL2bvaP9q32xfbc9vv3Hvc691H3bveS97X30fft+BD4M/hS+HP4lfi5+Nz5APkk+UX5YPl9+Z35wPni+gP6JfpH+mn6jPqv+s/67fsL+yz7Sftl+4T7pfvB+9v79vwR/Cf8Pvxb/H38mvyz/M787v0J/R/9Nv1S/Wv9gP2Y/bT9zf3h/fb+E/40/lP+bv6J/qT+xv7x/xr/N/9L/2f/kP+8/+UADwA4AFcAcgCZAM4BBQE5AXIBrgHdAfgCCAIUAhoCJQJEAnICmAKzAtkDDgNCA20DmwPIA98D5gP/BDUEcgSrBPYFSgV3BW8FZAV7BZQFlAWUBZIFTwTBBGAEkAURBYUGNAekCYAKxgsaCxQLCQpkCM8HQwcEB/EInQgUBrYFUwQsAyUCTgHHAW0BBwCeAGQAVgBGABz/5v+r/2D/Cf64/nb+Ov38/cv9w/33/k/+hP5P/bv9Hfy7/Iv8Xfwx/DL8c/zH/Ov8xvxn++v7Z/rt+pb6cvp4+oz6nPqk+qP6lPp7+lb6DvmG+M74Jfez91n25PZk9hb2EPYl9h/18vWn9UL0xfRE88fzT/Ln8qnymvKa8pDyh/Kc8sjy6/L08ury2fLH8rnysvKs8qHymPKe8rXyy/LF8pjyVPIq8j7yh/LN8ury6PLm8u/y9/L98wTzCfMH8wnzH/NJ83Xzn/PN8/z0JPRP9JD06/VC9Xr1mfW99ff2QPaI9sn3BfdD94T3xvgI+Ez4kPjU+Rj5YPmn+ef6IPph+q77APtM+5L73vwt/Hr8xf0T/WP9rf3y/jj+gv7G/wH/Ov+A/9UAMgCLANcBEgE/AWIBeQGOAa8B4gIYAj8CVQJqAoUCpALDAucDCwMiAzADRANiA4EDlwOrA8YD5gQEBCUESARlBHkEkAS1BN8E/gURBSEFNQVPBWwFiwWlBbgFyAXfBgEGKAZRBnsGlgaXBoEGbAZqBnkGiQaSBpYGngasBr8GzgbVBtkG4wb0BwcHHAc5B14HhAegB7MHwAfKB88H0gfdB/MIEwg0CFMIbwiJCKIIuAjICNYI6wkQCUkJlgn+CoQLEAt9C7ILtwuiC4ILWws5CyoLJAsJCswKfwpFCiYKEQn5CdcJqAlsCTUJHAkpCUQJWQlpCXoJgwlxCUgJFQjjCLMIiQhqCEwIGgfTB0QHOAdFB00HPAcUBuAGpwZsBjYGDQX3BfgGEAZABoQG2AcwB4IHzAgLCDcIQggkB+0HuAeVB30HbgdwB4YHlgd/B0wHPgeEB+0ICgenBw0GsQa5BuEG2AaXBlEGKgYeBhIF9gXQBa0FkQVxBT0E9QSnBGIEIQPZA4QDKALOAncCJQHbAaMBgwFpAS0Aqv/p/x3+fv4c/eP9sf1u/SD84PzC/L78ufyo/KX8xPzz/Qj87/y6/ID8T/wo/A78BPwH/A/8FvwW/A/8BvwC+/779fvn+9n7y/u2+5L7bPtW+2X7lfvJ++T73fvM+8L7uvuj+4D7Xfs8+xL65frI+sX60Prf+vv7KPta+4X7rfvQ+9j7r/tm+yj7Cvry+sH6dPof+dT5o/md+cP59foF+e/54vn/+iH6A/mW+RH4rPhe+AD3i/cf9tD2iPYp9bD1LvS49F/0K/QW9BD0EvQg9DL0LvP/867zVvMG8rzyePI68fzxsfFd8RLw3fC98KXwgfBA79rvWu7Q7kvt0u147U7tRu0x7OjsbOvj63frM+sF6tnqsuqr6tnrLOt164zrb+s96xzrG+sq6yvrD+rn6svqvuqq6oPqU+oq6gnp4+m06YLpT+kd6O3oweiT6F7oIefm56/nduc35vrmx+ab5mzmNOX05bDlaOUb5Mjkb+QQ47DjUuL34pniOOHZ4YPhNuDr4JfgPN/g34ffM97i3pLeQd3w3aLdVt0K3LfcW9v425fbRNsF2tbaq9p92lDaKdoD2eTZ4doL2lDae9pd2fjZedkW2OLYzNiz2ITYSNgY1/zX4te814/Xcddp13DXdtdp1zfW3tZ71jvWN9ZZ1n7Wktae1q/Wx9bh1vvXHNdH137XvtgK2GTYytk22abaGtqM2vfbYNvT3Fjc3N1N3a3eFd6T3x3fpOAn4LXhWOII4rnjY+QH5KrlSuXj5nfnCeeg6D7o4+mT6kLq1+tE65LrzOvh68Hrk+u27FztRu307hnt1u2H7YXuB+8V8IPyBPNe9IX1gPZN9uD3P/d+96/32fgG+EL4lPj9+Xz6C/qa+xn7hfvm/Eb8q/0d/Z/+I/6Y/vz/V/+p/+MACAArAF0AlQDDAO4BKwF+AdgCLgKJAvMDZgPZBEcEtwUvBa8GMAalBwUHVAecB+MIKQhsCLEI/wlXCbQKFAp3Ct0LRAurDAwMYgy3DRYNgg3vDlUOwQ8/D8YQQxC9EVASBRK6E0ATkRPRFCgUphU8FcUWHhY4FikWGBYmFloWpxb5FzYXUhdbF2UXdReKF7EX8xg/GHcYmxjIGQwZVRmWGdYaFRpAGlUabBqAGmcaMRpSGwobzxu8GpwZKhglF5gXMRbtFvQXJBc9F2UYCBkmGjIaxBsFG1AboBvAG7QbqhurG5obgxuXG98cJRw6HCgcDxv0G8wblRteGzMbGxsQGwYa7RrOGr0avBq2GpsafBptGmkaXhpFGjAaKhoqGiAaChn0GeUZ3RnTGcUZuxm9GcgZ1BneGeUZ5RnZGb8ZnBl4GVoZQBkiGQAY4xjaGN0Y1Bi1GJEYexhtGFcYPhgyGDMYLhggGA8X+RfSF6AXbhcrFrkWLxXYFdsV9xXUFXAVFhTxFOQUzRS5FLsUwBSsFJAUjhSoFL8UvxSxFKYUoRSZFIYUYBQrFAAT+RQWFDYUNxQNE8QTeBM/ExoS8xKzEmYSLRIeEiUSIBH/EcgRgBEgEK0QOw/qD8wP1g/iD80Pjw89Du8OsA55DkIOCA3TDa0Nlg1+DVMNFAzRDJkMbwxSDD4MJAv6C84LvAvKC9MLrwtnCyQLAArvCt0KxgqpCnsKNgntCcEJ0AogCoUKsAprCdwJYgkyCSsJIAkPCQII2gh/CCoILQh3CIkIGwd1BxgHHQc5BzcHJgccBw0G6wbHBrMGpAaJBmwGZgZyBncGbAZbBksGOwYtBigGKwYxBjwGUgZtBnwGeAZoBlEGLgYABdQFrwWLBWMFQgUzBTQFOQU5BTcFNgU5BUEFSQVHBTUFHgUMBQEE9ATqBOwE+gUKBRUFHgUqBTQFNgUxBSoFIwUeBSEFMwVSBXEFhgWQBZQFmgWlBb0F4AYKBi0GPQY4Bi8GLwY5Bj0GMgYjBiYGRgZ1Bp0GsAauBqIGlQaPBo8GlgajBqoGnwZ9BlMGMgYiBhkGDAX8Be0F4gXVBcQFrQWVBX0FZAVKBS0FDgTvBNMEuQSfBIEEYAQ9BB4EBgPyA+ED0AO+A6cDjQNzA1oDPwMfAvsC1wK0ApICdAJYAjwCGwH2AdEBsQGUAXkBXgFBASAA/ADcAMEAqACMAG8AUgA1ABT/8P/N/6n/hf9g/zz/Gf70/sv+of53/k3+JP39/dX9qf15/Uj9F/zq/L38j/xf/C37+fvI+5v7dPtO+yX6+vrQ+qr6h/pl+kT6J/oL+e35zPmq+Yf5Yvk8+Rf48/jP+K/4lvh++GD4Pfgc9/733/e695b3efdh90j3K/cP9vD2zPan9oj2b/ZX9jv2G/X79dv1vfWj9Yr1cvVa9UH1JPUH9PP05/Tc9Mz0uvSr9J30i/R59G30Z/Ri9Fz0VPRL9EL0PvRB9EX0RfRD9EX0TvRZ9GH0aPRu9HX0f/SL9Jj0o/Sv9MH01vTs9QL1GfUw9UP1VfVp9YD1l/Wv9cn14/X69hH2KfZD9lz2evac9r722Pbw9w/3MPdL92H3fvei98P33vf5+Bn4OvhZ+Hn4nPi9+Nz4/vkj+UT5Xvl5+Zn5u/nc+fz6Hfo++l/6gvqm+sX64fr++x77Pfta+3j7mfu3+9P77fwG/B38NPxR/HP8kvys/MT83Pzy/QT9HP04/VL9aP2B/aD9vf3R/eX+AP4k/kn+av6G/qD+wv7s/xX/Mf9G/2L/iP+w/9gABgA0AFYAbwCSAMEA9AElAV0BlQG7AcoB0gHeAe0CAQIkAlMCegKWAr4C9wMvA1wDigO5A9YD5AQMBF4EuAT1BSMFWAWBBYUFdwV2BX4FgAV6BVwE/wRzBBwEPgSoBS0GHQfICbYK+wtMCygKxwnGCCoG+wcjCBsIcgeCBfAElQOhAuQCWwIPAc4BbQEJANgAzQC0AH0APf///7j/Zv8U/sv+iP5M/h/+C/4Z/kH+Vf4c/Zf9D/zH/K78ifxR/ET8iPzt/Rr87PyL/Cf7yftf+vH6oPp/+nv6ePpq+lz6WPpc+lX6Hvmg+PX4WPfo94T3CPaG9jT2JvY39jr2FfXA9T70q/Qq88PzYvMI8s3yt/Kp8o/yfPKN8rfy2vLn8uvy7vLw8uvy3/LM8rPynfKW8qTywPLY8tvyy/LD8uTzKPNk83rzcvNo82bzZvNj817zUPM68zDzP/Ni84rzufPx9Cb0SvRo9J/09/VS9ZH1t/Xa9gz2TvaW9tn3FPdM94n3y/gQ+FT4lvjX+Rr5Yfmq+e76Lvpw+rr7B/tQ+5r76fw5/IP8yv0Y/Wz9uf39/kH+iP7M/wb/Pv+A/9EALACEAM0BBwE4AWIBfgGQAagB1AIHAi4CRwJfAn8CogLDAuUDBgMfAy8DQwNhA4EDmwOzA84D7AQLBCoESwRkBHUEigSqBM0E6AT6BQkFGgUuBUgFZwWGBZsFrAXBBd4F/QYdBj8GWwZlBl4GVAZUBl4GZwZsBnMGgQaXBqwGuQa8Br8GygbcBu0HAAccB0IHageIB5sHpwevB7MHuAfEB9oH9AgRCC4ISAhgCHcIiwicCK0IwgjhCQoJPgmKCfkKfQrwCzELPgsvCxoLCAr5CuwK0QqYCkQJ9gnKCb0JtQmiCYQJWgkjCO4I0gjQCNMI0QjYCPAJBQj+CNwItgiYCHkIUwgpB/kHvAd3Bw8HEQceBxwHBgbhBrQGgAZIBhUF7gXXBdQF7AYeBmMGsQb/B0gHjwfWCBUIOwg5CBYH6QfBB54HgAdyB3IHbAdMBykHOweYB/wH/weABtIGZgZbBnYGcQZCBg8F8gXmBdUFtQWQBXEFUwUoBOcEmwRUBBcD3QOgA10DEgK9AmMCDQHBAYYBYwFMARYAlv/P/vr+V/33/cH9kv1Z/Rn84fy+/Kj8kPx4/Hr8n/zK/M38nvxd/Cv8D/v/+/L76Pvl++v79fv6+/j79Pv0+/X77/vk+9r70vvA+577eftl+3H7mPvC+9f70PvD+777uPug+3b7T/sy+xj6/frs+ub64/rl+vv7Kvtf+4n7rvvW++f7v/tl+xD65PrS+rH6bPoV+cj5mvmR+ab5vvnB+bX5ufnY+e/5z/l0+Qn4sfhc9+33avbz9pv2TfXx9YX1FPSr9Fb0IfQL9Aj0DfQc9C30LfQI88HzaPML8rTybPIz8ffxqvFR8Qfw2fDB8Kjwd/Ag76TvGe6Y7izt0O2H7VbtN+0Q7MfsWuvf63LrIurr6sHqrOrD6w/ra+ub64brS+sc6xTrJ+s46zTrFers6svqtOqY6m7qPeoQ6eXptumE6VfpL+kC6NDooeh06EToDOfR55fnW+cb5t3mqeZ75k3mGeXg5aPlX+UW5MnkeOQh48Xja+MT4rjiV+H24Z3hT+EB4KrgTN/w353fTt7+3qreVt4C3bHdYN0M3LPcVdv626nbZdss2vbavtqH2lfaKtn92dzZ4dob2mvalNpp2fnZedkb2O7Y2di52H3YN9gE1+vX1tez14fXZtda11zXYtdg10PW/9ak1l7WStZi1oPWmNak1rTWy9bl1wDXJNdU143XzNgT2GrYzdk02ZraBdp22uTbUNvI3FTc391O3aPeAt6C3xTfoOAl4LnhZeIb4srjb+QO5K7lTOXk5nXnBuek6FPpCemy6kPqvesj63vrxevt6+TrwevM7EntIu3z7lfuRu4O7gfuXu8V8BjxUPKd89z09/Xp9rz3aPfV9/v39/gF+Ef4t/k4+bv6QvrJ+0f7t/wb/Hb81P1B/b7+Ov6m/wX/Zv/BAAMALABTAIoAxQD2ASYBagHEAiMCfALWAzoDqAQZBIsFAgWBBgMGfgbmBzkHgQfJCBUIYgitCPoJSQmcCfQKUwq1CxYLdgvbDD8MmAzqDUINqA4YDowPDA+bECkQpxEcEaQSRxLqE24TzRQcFHYU5hViFcYV7hXeFcMVxxXwFiwWaxakFscW1BbjFw0XShd/F68X8Bg6GG8YkxjJGRkZYhmVGc8aIRpiGnoahxqgGqUakhrJG4ocUxw9GxoZsxjCGDwX0RegF+cYWRhuGDcYWhkeGhAashsPG2kbuRvWG9Qb4hv0G94buRvGHAscSBxQHDwcMRwkG/8bxBuJG1sbPBssGyAbCRrpGtUazhq/GqIaixqHGoYacBpRGkMaTBpVGkkaKxoLGfkZ8RnsGeQZ3BneGekZ+RoGGgoaAxnvGdIZsxmVGXkZXBk9GRwZABjxGO4Y5xjRGLIYmBiEGGwYVBhLGFIYWRhSGD4YHxfyF7wXgRc0FsQWThYRFh4WMxYKFakVURUgFP4U1xS8FLkUuhSvFKkUthTIFM0UzhTbFO0U6xTRFKwUgBRMFCAUGxRBFGgUYBQeE8ETcRNBEygTDBLZEpkSZRJNEkoSRBIsEfkRrBFIENcQbhAhD/wP9g/zD90Prg9vDysO6g6tDnUOPA4GDdsNwA2mDXoNOwz9DM8MrwyQDHAMTwwrDAUL7AvkC9wLvwuLC1ILIwsBCuoK3QrLCqQKZAocCeMJ1woMCmYKnAptCe0JdglBCTgJLgkeCRQI+QiyCGAISQhpCGoIEgeRB0IHOwdLB0wHRQc/By8HDQbsBtYGwgakBoYGeQZ+BoQGggZ1BmAGSAY6BjcGOAY5BkUGYgaFBpcGlAaIBnUGVQYnBfwF2wW8BZcFcwVdBVgFWAVVBU4FRgVEBU4FXQVhBVIFOAUjBRYFCQT8BPsFCAUcBSwFNwVABUMFPgU1BTAFMAUxBTQFPAVMBV4FbwV7BYQFiwWXBbAF1QYBBicGPQZIBlAGXQZrBnAGYgZHBi0GJQY4Bl4GhQaiBrQGuwa2BqcGnAaiBrUGuwajBnYGTgY3BikGGgYGBfQF5gXYBcYFsAWYBYMFcAVdBUUFJgUEBOUEywSxBJIEcAROBDIEHgQNA/0D7QPcA8cDrQORA3gDXgM+AxgC8ALKAqUCggJiAkYCKwINAe0BzwGxAZQBeAFbAT4BIgEKAPYA4QDHAKkAigBoAEEAGP/x/8z/qP+D/2D/O/8T/uj+vv6W/m3+RP4e/fn90P2j/XL9Q/0X/Oz8v/yQ/F/8Lvv8+837ovt6+1H7Jvr6+tL6rfqK+mn6S/ou+g756vnG+aL5fvla+TX5D/jp+Mf4rPiV+Hj4V/g3+Bv3/vfc97v3n/eG92z3Ufc39xv2+PbT9rL2mPZ+9mH2QfYg9gH14/XI9az1kPV19Vr1PfUi9Q/1A/T49Oj01/TH9Lf0pvSY9JH0jvSH9Hz0cvRq9GP0YPRk9Gv0bvRs9Gz0dPR99IT0ivSQ9Jn0pPSz9MH0zfTa9Or0//UT9Sj1PvVS9WL1cfWF9Zz1s/XK9eP1/fYV9ir2QfZY9nD2jPat9s326fcE9yL3Q/dd93T3kPez99L37PgG+CP4Qfhe+H34n/i++Nv4+/ke+T75Wfl0+ZX5t/nW+fb6GPo6+ln6e/qd+rz61/r0+xT7NftR+2z7ivun+8P73/v7/BT8LPxG/GX8gfyZ/K/8xfzZ/Ov9Av0g/T39Vf1u/Y39rf3H/d/9/f4g/kT+Zf6B/pz+vP7j/wr/Kv9F/2X/iP+p/8v/9AAiAEoAawCSAL4A6QESAUMBdgGTAZgBmwGsAcEB1wH5AioCWgKCArAC6wMgA0gDcAOgA8QD3wQVBHkE3wUXBS4FTAVxBX0FbgVkBWsFbgVYBRkErQQ0A/MEEQR4BSIGTAgKCdAK2gr4CpAJ1giwB2gG1wdfCCoIBwbLBUwEQAOZAw0CmwJWAh4BzwGBAVkBSQEnAOsApgBdAAr/tf9s/yr+6P6r/nv+Vv45/ib+Df3O/Wf9Dfz0/QX8/vzL/Kj8yf0Q/S389vyT/Dr78fuZ+yz6y/qT+nr6Yvo/+iD6Fvoh+iT5+fmM+Pf4bPgD96X3NfbD9nT2VfZS9k/2MfXg9Vn0w/RK8+/zmfNE8wry9PLo8s7yuvLE8uTy//MK8xPzI/Mx8zDzHfL/8t/yxfK18rHyvvLd8wLzJPNL84bzzPQA9A3z/fPo89jzy/PA87Hzk/Nt81fzXvN585zzzfQP9Ev0bvSE9K/0+vVO9ZP1xvXz9iX2Yvap9vD3Lfdh95r32/gf+GH4ofjh+SP5aPmx+fn6PvqC+sj7DvtU+5777vw9/IL8xf0R/WT9s/35/jz+gv7G/wP/PP98/8gAHwBzALkA8gEnAVkBfwGWAawB0AH+AiQCPgJbAoECqQLLAuoDCgMmAzoDTwNoA4MDmwOyA8wD6AQBBBoENQRQBGcEfwSaBLMExgTVBOQE9AUEBRsFPAVdBXcFjQWkBb4F1gXsBgQGHgYxBjkGPAY/BkAGQAZABkgGXAZ4BpAGnQajBqwGvgbUBugG+wcTBzQHVQdvB4IHjgeVB5kHoQeyB8kH4wf+CBsINghLCFgIYAhrCHwIlgi5CNwI+wkhCWAJvAoZClkKcwp4CnwKggqDCnQKSAn8CaUJZwlWCWAJZAlVCTgJEAjeCKsIhghsCE8IMggxCFEIdwh/CG0IWwhOCDkIDwfYB50HYAcrBucG7QbwBuQGzwa0BpEGYgYuBgAF3gXKBckF3gYHBjwGeAa3BvgHOweEB84IDAgrCCcICgfiB7gHkQdxB1QHNgcgBysHbAfKCAAH1QdQBrMGQQYMBfoF7gXeBcwFuAWcBXMFRAUYBPQEzgSXBFEEDAPUA6QDcwNCAxMC2wKPAjUB3AGTAVwBOwEjAO4Acv+z/uj+Tf3w/bf9if1Y/Sb89fzL/KT8e/xZ/FL8afx//HH8PvwF++T73fve+9z71vvT+9b73/vj++H74fvn++z75vva+9L7zvvE+6/7mPuL+4/7o/u5+8X7w/vA+8P7vPuc+2z7Rvs1+yz7HfsM+vv65vrc+vD7JPtY+3b7i/ur+8H7ovtJ+ub6rPqb+ob6T/n++bj5lPmP+Y75fvll+V75dfmX+aD5evk0+Ov4o/hG98f3PfbL9nj2LPXQ9Wj1AfSj9FP0HvQI9Ar0FvQn9Db0MvQP88zzcvMN8q7yY/Io8erxm/FH8Qrw7PDZ8LDwXO/d70juuO5F7fHtsu1+7U/tGezV7IXsLevP627rF+rZ6r3qyOr/61Prl+ua62HrI+sQ6yXrPutC6zHrEerq6sLqn+p76lDqH+ns6bfpg+lX6TjpGujv6Lfog+hX6Czn+efA54XnR+cF5sjmkuZg5i3l+OXD5YzlTeUI5L7kceQf48rjeeMr4tjifOIb4b/hbOEa4MDgYeAH37bfZ98U3r/eat4W3cHda90Q3LPcWNwK283bmNte2xnaz9qP2l3aL9n/2dzZ5dol2nfamtpl2e3ZbdkX2PLY49jD2ILYNdf7197Xy9eu14fXZddR10rXTtdV10zXH9bV1pHWctZ61pLWp9a21sXW2dby1xHXOtdv16rX6Ngq2HnY1Nkz2ZLZ+dpr2uDbUtvL3FTc2d1A3ZHd89583xbfo+Ao4L/hcuIq4tXjc+QN5KvlSuXl5nbnCOew6HXpPOnb6kjqnOr061Xrruvt7AHr8Ovt7D7s++3c7njupu6c7qXu4+9T7/3w7vIW80H0RvU39jf3O/f7+EP4M/go+GL43Plt+ff6efr2+3D75fxO/K39Cf1y/e3+Zv7N/yb/f//VABkASQB3ALEA7QEiAVsBqAIIAmwCzAMqA48D/gRyBOkFYQXaBlQGxQciB2cHpQfqCDoIjwjkCTgJiwndCjIKjQrqC0QLnwwDDGsMzA0hDXQN1A5FDsoPYxAFEJkRFRGDEfUSbxLqE2kT6xRnFM8VJxV4FbEVuRWcFYsVqRXfFgcWHxY4FlQWbRaTFt0XOBd/F7AX5xgqGF8YhxjHGSEZaBmNGb8aHhp5GqAaqxq/GskawRsAG8ocnRyMG2gaARkXGJQYIhf6GHMZNBl4GSIY4Rk7GfUanRsZG4MbyhveG+scFRwzHBMb3xvnHCscXRxaHEscTxxNHCMb3BuaG2sbUBtEGzsbJRsDGusa4BrRGrUaoBqbGpUafRpiGlsaaBpvGmMaSRouGhkaDRoHGgIZ/hn/GgoaHRorGi4aIBoDGeIZxxmwGZQZdBlWGTwZJBkRGQYY/hjrGMwYrxicGI0YehhrGGYYaRhrGGAYQRgKF8gXhBc6Ft8WhBZTFlAWShYVFcEVexVMFSAU8hTUFMgUuRSoFK4UzRTnFOkU7xUSFTsVQhUdFOkUtxSJFGcUaRSOFKgUiRQuE8ETcRNME0ITNBMOEtUSnRJ3EmQSVhI9Eg4RyRFyEREQsBBhEDAQHhAVEAEP2g+jD2IPGg7WDp8OcA5ADhIN7A3KDZwNYQ0qDQUM6gzHDJsMcQxODCwMBgvjC8kLtwuhC3sLRgsTCvcK9ArwCtUKngpUCgYJ0QnYChkKUgo8CdwJfglXCVEJRAkwCSgJGQjhCI0IWQhXCFYIIQfJB4QHawdoB2cHZAdeB00HMQcTBvsG5AbIBq0GmwaVBpkGnwabBoYGagZWBlAGTAZHBlEGcQaWBqkGpwaeBpAGdgZOBiYGBQXmBcQFpQWQBYIFdQVnBVoFUwVTBV8FbwV2BWsFVAU+BS0FHAUOBQkFEwUlBTkFSAVRBVMFTAVCBT8FRgVRBVoFXQVcBV0FYwVuBXsFiAWZBbIF1wYBBigGRQZbBnEGhgaUBpYGiwZyBlAGMwYrBkAGaQaYBsQG5AbrBtUGtAalBrIGwga6BpgGbQZMBjcGJQYSBf8F7AXZBcUFsAWaBYcFeAVrBVgFOwUXBPUE2QTABKUEhgRoBFIEQQQwBBwECAP0A94DwwOnA4wDcQNPAycC/gLXArECiwJqAlICPwIrAhQB+QHdAcIBpwGKAW0BUgE9ASgBEQD1ANYAtACOAGMANwAQ/+z/yP+l/4H/W/8x/wb+3P61/o7+Zv4//hn98P3D/ZT9Zv07/RD85Py2/Ij8XPwu+/770Pun+4H7V/sr+v/61/qz+pH6cPpQ+i36B/nh+b35mvl6+Vj5NPkN+Oj4yviw+JT4c/hU+Dj4Hff+9+D3xfer9473cvdZ90D3H/b69tj2u/af9oH2YvZE9iX2B/Xq9cz1rvWR9Xf1XfVE9TD1IfUU9QP08vTi9NH0wPS09LH0sPSo9Jz0kfSL9Ib0g/SH9I/0k/SR9I/0k/Sb9KL0qfSy9L30zPTc9Oz0+PUE9RP1J/U69U31YPVx9X71jfWg9bf1zvXk9fz2FvYv9kf2X/Z39o/2p/bD9uD2+vcT9zL3Uvdu94b3ovfC9+H3+/gV+DD4TPhn+IT4pPjB+N34+/kc+Tr5VPly+ZT5tfnS+fD6E/o1+lT6c/qV+rT6z/rq+wv7K/tG+1/7evuV+677yfvo/Ab8IPw4/FD8aPx9/JL8qvzC/Nr89f0W/Tf9U/1r/Yb9o/3B/eL+Bf4o/kf+ZP6A/pr+uP7b/wH/I/9B/2P/hf+i/7n/1//+ACkAVwCJALgA3AD7ASMBTQFmAWkBbwGEAZ0BsgHSAgcCQQJyAqUC3QMNAy4DUgOFA7UD3QQXBHYE1gUKBRsFMgVUBWAFVAVNBVcFUQUdBMMEYQQTA/UEHASSBW0Gxgh2CfAKngprCawIrQebBt4G7QedCAUHZwYSBOoEVAP+A4sDDAKyAnUCNgH8AdkBwQGeAWcBHAC7AE7/9//C/5b/Wv8X/t/+sP57/j/9+v2n/Uv9E/0h/Vr9dv1S/Rr9Cv0l/TD8//yl/FH8D/vG+2f7BPq7+o76aPo7+hL5+/nz+eX5tflV+Nr4afgQ98D3ZvcL9sP2lfZ59mb2RfX69X/0+fSO9Dvz5fOL81HzQvNF8zvzLvMx80HzTfNQ81nzb/OH843zd/NM8yDzAfLr8tzy3PL18ybzY/Op8/r0SfR79IT0cfRV9Dn0IfQP8/jz0POe833zfvOU87Xz5vQq9Gn0jvSk9Mf0/vVA9YL1wvX/9jb2cfa49wX3R/d997T38/g1+HP4sPjv+TH5dfm9+gb6TfqR+tX7GPtb+6L77vw4/Hz8vf0F/Vb9pf3s/i/+df66/vr/Nv90/7oACABYAJsA0gEIAUIBdgGaAbcB2gIEAiUCPgJaAoICrQLRAu8DDgMrA0IDVgNqA38DkwOnA8AD2APsA/8EFgQzBFIEcQSJBJkEowSuBLsEywTcBPMFEwU0BVEFagWEBZ4FswXEBdcF7gYEBhUGIAYmBiUGIgYjBi4GRAZfBngGhwaRBp0GrwbFBtgG7AcFByMHQAdZB2wHeQeAB4QHjwejB70H1gfwCAwIJwg2CDkINgg6CEsIawiRCLAIvAi/CNAJAAlCCX4Jogm2CccJ1gnaCcoJnglbCRcI8QjyCQQJCQj6COAIwAiWCGUINQgDB8kHnAeaB8YH9wgIB/oH6QfcB8QHmwdpBzgHDgbxBsgGywbFBrUGpAaRBnIGRQYWBfIF2gXMBckF0wXjBfsGHQZPBowGzwcZB2sHugfzCAoIAAffB7UHigdaByMG8wbsByUHggfGB78HdAcJBpsGLgXIBYIFbwWABY0FegVHBQcEyASRBGEELgPyA7IDfANUAywC/QLSArAChwJFAewBlQFPAR8BAQDmALAAPv+V/ub+Xv4F/cf9lP1k/Tb9BfzU/KP8cvxH/C38KPwm/BL77PvI+7f7t/u++8P7xfvE+8f7y/vO+8770vvc++H72vvN+8f7xvvB+7j7rvun+6P7pfur+7P7uvvE+877xPub+2f7SftE+z77JvsE+uP6yfq/+tj7EPtC+1b7XPtw+4f7ePsv+s76iPps+ln6Kvne+Z35hPmG+Xj5R/kT+Qn5KflK+UD5D/jV+KX4bfgS95T3Efar9mD2FfW79Vj0+vSk9Ff0HvQD9Af0HPQ19EX0PvQW89Hzd/MU8rLyXvIZ8dTxifFG8SDxEPD18KnwI+957s7uQe3d7Zvtb+1P7Sjs6eyT7EDr/+vD63brIOrl6t/rDOtW65vrs+uL60XrGusl60jrVetC6yPrA+re6rLqh+pf6jjqCenS6ZjpZOk+6SXpC+jf6KbocOhE6Bnn5+ew53bnOOb45rvmg+ZL5hHl1+Wj5XDlN+T35LDkZeQW48jjgOM64vDim+I/4eThjeE34NzggOAn39Lffd8n3tPegN4r3dPdd90Z3LzcZ9wl2/PbxNuD2y/a2dqV2mXaOdoJ2eLZ5toh2nDaktpg2enZadkV2PTY6djM2I7YQNgB193Xxter14jXZddJ1zvXP9dO11PXO9cG1s3Wqdai1rDWxdbY1ufW99cO1y7XWNeK18PX/tg92IbY2dkz2ZHZ+tpx2urbW9vL3ELcud0h3X7d8N6B3xrfouAm4MLhd+Iv4tXjb+QJ5KjlSOXi5nPnBOey6IbpWenz6kfqgOrP6zfrn+vw7BzsIOwY7Ejs3u247nvu7e8k70/vgu/B8Cvw5vHn8ujzvfSI9Yn2u/fE+E/4afht+KP5EfmV+hn6mvsa+5b8Dvx+/OH9Pv2i/hX+jf73/1D/of/tAC8AaACiAN8BGgFTAZUB6gJPArgDHgODA+wEXgTXBVEFwwYtBpgHAgdcB54H0wgQCF4ItgkPCWcJvAoQCmQKvAsUC20LyAwsDJMM9Q1PDacOCg6DDxkPyBB3EQsRgBHmEkMSlBLmE1oT/RSlFR0VYBWMFaoVqBWNFYkVshXhFesV3xXpFhEWQRZ2FscXJhdtF5cXxhgGGEAYbhizGRMZXxmEGbAaCBplGpkatRrcGvEa5RsXG9gcrRyfG28Z8Bj1GHUYExf5GIcZcBnoGaoZShlfGeYajBskG54b3RvoG/4cOhxfHDscBhwUHFgcfhxvHGMcdBx3HEUb8BujG3EbWhtVG1EbOxsYGwEa+xrxGtkawxq6GrAamxqGGn0aehpxGmQaWRpLGjYaJRofGh8aHxojGjAaRBpSGlMaQhohGf0Z4RnJGasZhRlnGVIZQBkqGRkZDxkAGOQYxxi5GLMYphiNGHYYbRhwGG4YUBgTF8cXhhdNFwsWwBaGFmUWQBYCFboVhBVbFS8VBRTxFOkU0hS2FLcU3RUDFQ4VGBU/FXEVgRVgFSkU9RTOFLwUyBTkFOgUtBRNE9wTiRNlE2ITXxNDEwwSzRKbEn0SaRJMEh8R5RGhEVEQ9BCbEFwQPhAuEBUP7g+9D4QPQA79DsYOnQ50DkUOFg3oDbYNgA1QDTANEwzrDLUMgwxcDDoMDgvdC7kLrwuvC5kLZAspCwgLBAsDCu4KwAp5Ch8J1gnSChcKWwpOCfMJmQl2CXIJYwlMCUQJOwkJCLIIawhXCFoIRAgJB8cHmweIB4IHfwd5B2sHVQc+ByQHCQbvBtgGxQa5BroGxAbHBrUGlQZ7Bm0GYQZYBmAGfgahBrQGtAasBp8GiQZrBksGKwYLBesF0AW8BaYFiwVyBWEFXQViBW8FfQWDBX0FbAVYBUMFMAUhBRoFHwUsBTwFTAVaBWIFYQVZBVQFWwVsBXoFfAVyBWgFZgVvBX4FkQWlBb4F3gYCBiQGQAZbBngGkQagBqMGnwaWBoIGZgZRBlEGagaUBsYG9wcRBwUG2wazBqYGrwa0BqQGgwZeBkEGLQYdBgsF9QXeBcYFsAWaBYkFfgV0BWYFTwUwBQ8E8wTZBL8EoQSHBHMEYwRPBDQEFwP8A+QDyQOuA5MDeANYAzMDDQLoAsUCowKGAnICZQJWAkICKQIPAfYB3QG/AZ8BgAFmAU4BMwETAPEAzgCmAHsAUAAsAAr/6f/H/6P/fP9R/yT++/7V/q/+hv5e/jb+Df3f/bD9gv1W/Sz8//zS/Kb8fvxU/Cj7+/vT+7D7iftc+y77Bfrh+r36mfp1+lD6KvoD+d35u/mc+X75Xfk4+RP48/jX+Lr4mfh6+F74Qvgl+Af37PfO9673j/d29133PfcY9vb22fa99p/2gfZk9kb2J/YI9er1zvWz9Zv1hPVt9Vj1RvU19SL1EPUA9O/03fTP9Mr0yfTE9Lr0s/Su9Kn0pfSn9K/0tPSz9LD0svS49MD0yvTW9OP08vUD9RP1IPUr9Tr1TPVf9XD1f/WO9Zz1rPXA9db16/X+9hT2LfZI9mH2e/aW9q72xfbc9vT3C/cj9z/3X/d995f3svfR9/D4C/gm+EH4XPh2+JL4rfjH+OH4/vke+Tr5VPly+ZT5s/nO+ev6DPot+kn6Z/qK+qv6xvrg+v77HPs2+1D7a/uE+5r7svvQ+/D8C/wi/Dr8Ufxl/Hr8lfy1/NX89v0Z/T39Xf13/Y39pf3C/eX+DP4v/kz+Zv6C/p3+uf7a/v7/Hf84/1f/ef+V/6j/u//YAAMANwBvAKAAwADYAPgBHAE0ATwBSAFiAYABmgG9AfMCLAJdAo0CxALzAxIDNQNuA7AD5QQbBGYEtQTmBPsFEgUwBT0FNwU3BTgFFgTDBGgENQQqBDcEawTzBfYHagj+CjAKlQodCRQH4QbyBqYHDQefB5IGrAWGBNkEswSYBDQDqgM5AusCqgJxAkgCKgIMAd8BkAEYAJYAPAAX//3/x/9//0T/F/7j/pb+Mv3A/Vn9JP07/YH9r/2a/Vn9Kv0p/TX9HfzY/Ij8Qvv8+6L7PPrl+qv6gvpd+jf6E/nx+cb5hPkp+MX4bPgk9+D3l/dN9wz21fan9oD2U/YG9Zf1I/TI9Hv0I/PH85DzjPOg86rzpfOg85/zm/OX85/zvPPf8+/z2fOk82rzQvMr8x3zHPMy813zlfPc9DT0ifS/9Mr0uvSf9ID0YfRI9Czz/fPF86HzofO589r0CPRF9IH0q/TJ9On1EfU+9Xb1u/YB9jv2dPa89w73V/eR98n4B/hG+IL4vvj8+Tv5fvnG+hH6Wfqc+t/7JPto+6z78Pw2/Hr8vf0F/VH9nP3j/in+cP62/vn/N/9y/6//9QA+AH0AsQDmAScBagGfAcYB7AISAi4CQgJaAoACqwLRAvADDAMmAzsDTQNgA3IDhQOZA7ADxwPZA+oEAAQdBD8EXwR2BIIEiQSRBJ4ErQTABNgE9QUSBSwFRgVjBX0FkgWlBbkFzgXkBfcGBgYPBhIGEwYZBiUGOQZQBmcGeAaDBo0GmAajBrAGxAbhBwQHJAdAB1UHYwdmB2kHdAeJB6IHuAfPB+oIBQgUCBcIFggbCC0ISghqCH0IeghoCGIIfQizCOwJEgklCSsJLAkmCRUI9gjLCKMIjgiSCJwImwiOCH0IaAhGCBcH3geZB1IHJAcrB2EHlQejB44HcQdWBzsHHAcABugG1AbIBqwGrAakBpYGigZ5BlsGMgYOBfcF6AXcBdMFyAW7BbIFwAXnBiAGYQaqBv4HUQeTB7gHvgeqB4YHWAcdBtkGpQasBvcHTgdqBzoG8Qa5BoIGIAWcBTcFIwVFBVoFOwT3BK4EbQQvA/ADsANzAz0DEwLxAsgCkwJiAj8CGwHgAY4BPAD8ANAAsgCWAGMAA/95/ur+dv4g/dn9mv1j/S389Py5/IL8UPwf+/P70/u++6/7ofuU+4r7iPuO+5r7o/un+6j7rPux+7X7vPvF+8j7wvu7+7j7uPuz+6z7qPul+6D7nfuf+6f7s/vH+9n7zvuf+2v7VftX+0f7FfrX+qz6mfqd+rz68fse+y/7MPs8+077RvsN+rf6bPpE+i/6CPnF+Yf5c/l7+Wv5LPjm+M/45/j4+Nr4m/hk+ED4FvfL91/27/aR9kb1+/Wo9VP1A/S29Gf0JfQC9AT0H/RA9FL0RvQW88vzdPMY8rjyWfID8bjxe/FQ8TnxI/Dq8HPvw+7+7lDtz+137TztFOz97OLsrOxd7BXr6evH643rQ+sW6ynrbuu269jrweuA60DrLutJ62XrXus76xfq+erT6qLqcupK6ibp+unI6ZPpYuk76Rzo+ujO6Jvoaeg66Ajn0+ee52nnL+bx5rPmduY55fnlu+WG5VTlH+Tj5KHkWuQQ48jjhONC4vrirOJX4gHhq+FU4P7gpuBN3/Lfld893urel94/3eDdgN0j3MvcftxB3A/b2tuR2zja4dqg2nHaRdoR2eTZ3doN2lzai9pp2fzZe9kg2PvY7tjQ2JPYSNgK1+HXxdep14jXZNdE1zXXPddT12TXXNc81xHW7dbb1t3W79cD1xHXHdcy11LXedek19fYEdhQ2JXY5Nk+2aDaDNqC2vfbXdu63Bzci90A3Xjd/N6N3xnfmeAe4L3hcuIk4sbjY+QC5KPlQuXb5mrm+uen6H3pV+n06kLqceq96yzrn+v87DnsUOxR7Gzs1+2R7mDvC++K7+nwKvBZ8KTxPPIR8t7zePQJ9N31+/cZ9+X4WPin+QD5Z/nR+j/6vPtD+8b8O/yk/Qj9Zv3H/jD+of8P/27/vgADAEUAiwDTARcBVAGSAd0COgKfAwgDcQPZBEQEtgU0BbAGGwZ2BtIHOAeYB+EIFwhPCJQI5gk7CZIJ6gpACpUK6gtCC58MAgxmDMQNGw12DdoOSg7OD3AQKhDdEWkR1BI2Eo4SzBMDE2gUEhTLFUsViBWoFb0VtBWTFYkVqxXPFcoVthXGFf4WOBZqFq8XBBdHF2wXlhfXGBkYTxiTGPIZSBl7GagZ7ho4GmwaohrpGxIbBxsnG9IcmRyBGzUZgBhTF8wXiReJGA8Y6xl/GYQZWRl1GegaiBszG8EcAxwGHBccUhx6HGEcPhxaHJkcrByNHHwckRyZHGkcEhvAG4kbbRtoG2QbThstGxkbFhsPGvsa6RrfGtUaxBqzGqUakxp9GnEabxpmGk8aOho2Gj0aRBpNGlwabhp4GnYaZhpHGiEaABnkGcIZmhl6GWcZVBk7GSUZGxkRGPwY4hjVGNIYyBivGJEYfxh8GHcYWBgXF84Xmhd2Fz8W6haXFl4WMxX8FbwVhhVaFSsVBxUCFQ4VAxTkFNoU+RUmFTwVRBVZFXsVjBV5FU4VIRUFFQIVFBUiFQ0UzBRrFAITrBN9E3UTeBNlEzES7hK3EpUSfBJbEi4R+xHGEYMRLBDMEH8QUhA1EBMP6Q/AD5cPZQ8qDvMOyA6fDnAOPA4HDdMNoA11DVMNMg0DDMkMkAxkDEAMGAvoC8MLuAu7C60LfwtKCyoLHQsQCvcKzwqQCjsJ/AoTCnoKzwqwCi8JswmDCYEJeQllCV0JVgkqCNYIighsCG0IYgg1B/YHwweoB6AHnQeUB4cHeAdmB00HMAcVBv8G7QbhBuAG6gbtBtwGvgaiBo0GewZvBnQGiwanBrcGuQawBp4GiAZyBl0GRgYqBg4F9QXeBcMFogWCBWwFZAVqBXYFgQWGBYMFegVpBVQFQAUzBS8FMAU0BTsFRwVYBWgFcQVuBWcFaAV2BYQFhgV9BXUFdwWBBY0FmwWsBcIF3QX8BhkGMAZHBmMGgAaTBpsGoAakBqAGjwZ5Bm4GdQaNBrQG5gcTByAHAwbPBqUGmAaeBqAGkAZzBlUGPgYsBhkGAQXnBc0FsgWbBYsFgwV9BXIFYgVNBTQFGAT6BNoEuQScBIYEdgRgBEAEHAP9A+MDywOxA5kDgQNoA0oDKgMMAu4C0gK6AqkCmgKIAnACUwI4Ah8CBQHlAcEBngGCAWcBSgEoAQQA4AC4AI0AYwBAACEAA//k/8H/mP9s/0H/Gf7y/sv+of53/lD+J/38/c39nf1w/UX9Gfzr/L78lfxv/Ef8Hvv5+9j7tPuJ+1z7NPsQ+uv6xPqe+nr6Vvou+gb54fnB+aL5gvlf+T35HvkB+OL4wvij+If4avhL+C34EPfw9873rfeS93j3WPc09xP29vba9rz2nvaB9mP2RPYm9gz18/Xa9cP1rvWY9YP1b/Vc9Uj1NPUj9RL0//Tu9OX04vTg9Nv01vTR9Mr0xPTE9Mr00PTR9NH01fTb9OP07fT59Qj1FvUm9Tb1Q/VQ9V71cfWD9ZH1n/Wu9b710PXk9fj2CvYa9i72R/Zh9nr2lPav9sj23vb09wv3Ifc290/3bveN96j3w/fh+AD4Hfg4+FL4bfiH+KH4ufjQ+On5BPkh+Tv5VPly+ZP5sPnK+eb6Bfoj+j76W/p++p/6u/rT+u37CPsh+z37Wvt1+4r7n/u7+9j78fwI/CP8QPxa/HL8j/y0/Nn8/P0e/UD9Yf1//Zj9rv3H/ef+C/4t/kn+Zf6C/p3+uf7Y/vr/Fv8s/0X/aP+I/57/rv/H/+8AHwBQAHkAlACqAMUA5wECAREBIwFAAWMBhwGyAeYCFgI8AmgCowLXAvgDGgNYA6oD7QQdBFAEjAS7BNgE8QUMBR8FJAUgBQUEwARmBDcEUQSOBL4E+AWKBqAIFQmKCo8K0wo6CQAHqAbKBrIHHgdnBwoGKQVjBSMFOwU1BN0EWgPhA34DKgLkAq8CiQJrAkIB9AF3APIAmQB0AFkAJf/i/63/iP9Z/wf+kP4I/Y79Sf1K/Xn9oP2U/V79Lv0s/Uj9T/0i/NP8gfwu+837X/r/+sL6ovqK+mr6QfoO+c/5gPkm+ND4iPhL+Az3xveC90P3CvbS9p72Y/YQ9ab1QPTx9Kr0VvQB89Dz0vPs8/3z+vPr89vzzfPI89Tz9PQc9DH0HvPo86vzgfNt82fzb/OF86HzwfPz9EH0lvTP9N701PTB9KX0hPRl9ET0FfPg87/zxPPh9AX0L/Rk9Jr0x/Tu9RP1NfVX9Yb1yPYL9kL2dva59wr3VfeT9834CvhJ+If4xPkC+T/5f/nJ+hb6X/qh+uX7Lvt2+7j7+Pw7/ID8xv0O/VX9nP3j/iv+c/65/v3/PP92/7D/8AA0AG8AnwDUARoBaAGpAdcB+wIcAjUCRgJaAnwCpgLOAu4DCAMdAy0DPgNQA2QDeQONA6IDtgPJA9wD9AQQBC8ESgRdBGoEdASABI0EnASuBMUE3ATzBQoFJgVDBVwFcQWFBZsFsgXIBd0F7wX6Bf4GAQYHBhEGIQY2Bk4GZAZzBnwGgwaJBpIGpQbCBuQHBAcgBzUHPwdAB0EHTAdiB3oHjwemB8QH4wf6CAcIDwgaCCkIOwhKCEwIPAgkCB0IOAhuCKQIwwjHCLoIpgiSCIAIbghYCEMINgg0CDUIMAgoCB8IEAfxB8IHhQc/Bv0G2wbsByEHTgdVBzsHFwb3Bt0GzQbFBr0GswasBpEGkAaKBoMGfAZuBlMGNQYeBhAGAwXzBd8FxQWjBYsFjwWwBdwGDwZOBpoG4gcaB0EHVgdUBzcHBAbFBoUGXAZpBqQG2AbQBpkGbwZoBlYGAAV9BR8FEwUxBTIFAAS5BHwERgQFA7YDZwMjAu8CxwKiAnICNQH6AcsBoAFnAR4A1wCdAHIAUgA1AAv/wP9V/uD+ef4h/dD9g/0+/Pz8t/xy/DL7+vvC+4j7Vvs2+zD7OftC+0H7P/tH+1j7Zvts+3D7evuG+5D7l/ud+5/7n/ug+6P7ovua+5L7kfuR+4/7kPuV+5v7qfvG++b75Pux+3f7Yvtm+0v6/vqm+nX6cvqJ+qv60vry+wP7C/sV+xz7CvrU+oj6QvoY+gb57fm6+YP5bfl2+Wn5J/jU+Kn4qfij+Hb4NPf/9973uvd/9y320vZ79iz14vWa9Vj1GPTS9IL0OvQS9BL0LfRL9Ff0QPQD87HzXPMH8qnyQ/Hk8Z7xcfFV8TjxAvCe8ATvRe6G7ertfe0x7Pbsx+yr7JnsfOxL7Brr+evc663rd+tl64/r1ewD6/nrwOt760/rUOtp63PrXOs26xXq+OrP6pjqZOo86hjp8enH6Z7pc+lF6Rfo6ei86JDoY+gw5/jnwOeN513nJ+bq5qvma+Yq5eflqOVu5TjlAuTI5IrkR+QD48PjheNC4vnireJg4hLhweFv4R7gzeB04BTfs99a3wber95Q3erdh90t3N3cl9xZ3CDb39uQ2zra69qt2n3aTdoV2eLZz9n12kfaiNp82hjZk9ky2QjY9tjR2I7YRNgI1+HXxNeo14fXY9dF1zrXSddn137Xgtdy11XXNdcc1xXXIdcw1zfXPtdS13TXmdfA1/HYLNhs2K/Y+9lW2bzaJtqS2vnbUtui2/3cctz73YveGt6i3x/flOAX4LPhX+IH4qfjSuPy5JjlN+XS5mbm+Oeh6HHpSunw6kXqdeq+6y7rpuwK7FLsfOyQ7Kjs7+127i7u9O+x8E7wvvEN8Wrx9/Kh8y/zi/Pe9Gr1PfYx9xf35viq+V355/pH+p37C/uO/Ar8bfzB/Rz9f/3l/kn+sf8d/4L/1QAYAFwAqwEBAU8BkwHcAjQClgL5A1sDvgQjBIwE/gV9BfwGZga4BwoHagfPCCUIZwihCOEJKQl5Cc0KJQp8CtELJgt+C+EMSgytDQANTA2oDhsOmg8iD78QcBEVEZQR+xJmEtETHRNRE6UUNxTeFVsVohXQFegV0xWbFXgVhhWeFZkVjBWkFeEWGxZGFoAW0BcTFzoXYxelF+4YKhhpGL4ZGBlcGZQZ1BoTGkkajBriGxsbHBs8G9EcdxxBGtAY3RdsFssWqRbQF0sYABiZGPEZNRmSGgkamRtFG+ccORw9HD0cZxyQHI4chxytHN8c2xyrHJAcnhyoHIMcPBvxG7UbjxuBG3sbaBtMGzobMhslGxAbAxr+GvMa4BrRGscauBqmGp4amxqLGm0aWBpaGmUabRp2GoUakhqWGpAaghplGjwaFhn5GdoZtxmYGYMZbxlTGToZLhkoGRgZAhjxGOcY3BjNGLoYqBicGI0YahgqF+YXvxeoF24XABaRFlQWPBYaFd4VnRVlFTEVDhUSFTEVPBUjFQsVHRVLFW0VdBVxFXQVeRVwFVcVOBUnFTAVQRU8FQ4UxBRwFBkTxxOOE3sTfRNxE0MTBBLMEqUShRJfEjISAxHWEaARUxD2EKAQZRA8EBQP6g/HD6oPhg9WDyEO8Q7FDpYOYQ4qDfUNxw2hDX4NVQ0hDOQMqQx4DFQMMAwHC+ALzAvIC70Lngt6C18LSQsqCwkK5wqyCmMKLgpcCtsLMwr4Ck4JtAl6CX4JfwlvCWcJYAk7CPQIrgiJCH4IbAhECBAH4wfKB8EHvAexB6IHlAeGB3MHWQc+ByYHFAcIBwYHCgcJBvsG5gbOBrcGnwaPBowGlwamBrEGtAaqBpQGfAZqBl8GUwZBBikGDwXzBdYFuQWbBX4FbAVqBXMFfQWBBYAFfAVvBVsFSgVDBUIFQgU/BT8FRQVRBWIFcQV0BW8FbQV2BX8FfgV5BX4FjwWhBagFqQWtBbsF0wXwBgsGHQYqBj8GWwZ2BoYGkQabBp0GkgaBBngGewaIBp8GxQb3BxwHGwbzBr4GmQaRBpcGlwaJBnMGWwZDBioGEAX3BdoFugWgBZAFigWDBXoFbwVkBVIFNwUTBOwExgSlBI4EfQRoBEsEKAQJA/ED2gPCA6wDmQOGA28DVQM7AyIDCwL1AuACzAK0ApYCdAJUAjgCGwH6AdUBsgGVAXsBXgE7ARUA7wDHAJwAcgBOAC8AFP/3/9b/sP+G/13/Nv8P/uT+uP6N/mf+Qv4Z/ez9uv2K/V/9Nv0J/Nn8rfyG/GH8PfwZ+/j71vuu+4X7X/s6+xP66/rG+qX6g/pc+jL6DPnp+cj5pvmD+WP5RPkl+QX45fjI+K34kPhv+E74MPgS9/D30Pez95j3ePdU9zP3Ffb49tr2vPag9oL2Y/ZH9jD2GvYC9er11PW/9ar1lvWD9W71WvVI9Tj1KPUX9Qv1BvUE9QH0+/Tx9Of03/Te9OP06fTu9PT0+vUA9QX1DvUb9Sr1OfVI9Vj1ZvV09YP1lfWl9bP1wPXQ9eL19fYI9hr2KfY59k32Z/aC9pn2r/bH9t729PcL9yP3OfdN92T3gPed97j30vfw+BH4MPhL+GT4fPiU+Kz4xPjb+PP5Dfkn+T/5WPlz+ZD5q/nF+eL6APoc+jT6UPpy+pL6rfrF+t769/sQ+yz7S/tn+377k/ut+8f73fvz/BH8NfxW/HT8lPy5/N38/v0d/Tr9Wf14/Zf9sf3K/eX+Bf4l/kH+Xf57/pf+sv7Q/vD/C/8e/zT/Vv97/5X/q//I/+8AFwA2AE4AYwB5AJUAuADXAO0BAQEdAUIBbwGgAdEB9gIVAkMChQLAAuIDAANAA5oD5gQQBDEEYASSBLcE1ATyBQwFEwT7BL0EagQ2BFYEwgUuBWkFpAY9B1YIuQoJCvELJgp8CSYHvgbwBukHOgdJBtoGOQXUBcgF2QXEBXYFBgSMBBYDrwNfAyIC8gLKApoCSwHaAWYBEwDjALsAiQBTACgAAf/J/27+7/5f/d39hf1j/Wv9ff13/VP9M/08/Wj9hP1l/Rb8tvxU++f7dPsX+uP6y/q1+pP6Zvow+e/5oPlJ+Pj4tfh6+Dr39Pes92v3Lfbz9rz2ffYq9cj1bfUo9Ov0ofRX9Cr0JvQ19D30MPQW8/zz6/Pp8/f0E/Qy9EP0NfQK89zzvPOv86/zv/PX8+Xz5/P79Db0g/S59Mr0yPTB9K/0jvRo9EL0FfPo89Dz3PP+9Cb0UfSC9LX04/UP9Tn1XvWA9a716vYn9lf2hfbA9wj3TPeJ98T4AfhA+ID4wvkC+T75fPnF+hT6Xfqg+uX7L/t6+777//xB/Ib8zf0U/Vj9mv3f/ij+cf62/vj/OP92/7L/8wA3AHEAoADUARsBbQGyAeAB/wIcAjUCSQJeAnwCogLJAukDAQMUAyQDNgNKA14DcgOFA5YDpwO5A88D6AQEBB4EMwREBFIEYgRyBIAEjQScBK8EwwTXBO8FDAUnBTwFSwVbBXEFigWlBcEF1wXjBeIF3gXdBeQF8wYLBioGRgZbBmsGdgaABosGmwayBssG4wb5BwoHEwcVBxgHJwdAB1sHdgeTB7QH1gfyCAUIEwgfCCgILwgyCCoIFQf+B/kIFQhHCHMIhAh6CGIIRwgxCCEIFggJB/oH7QfmB+MH3wfaB9AHvQedB3IHQgcOBuMG0gbkBwgHIQcfBwkG7QbSBr8GtgazBqsGnQaTBn4GfQZ6BngGdwZuBlsGSAY7BiwGFQX8BeQFxQWjBZAFmQWzBcwF5wYTBk0GggapBswG7gb6BuAGqAZqBjoGJQYuBkYGSAYlBf0F9gYIBfwFsQVOBRYFGAUkBQkEzQSUBG4ERAP8A5sDOgLoAqoCegJNAhoB3AGbAV0BJADoAKkAbgA7ABD/7f/R/6//df8e/rn+V/39/aX9TPz3/Kf8WfwL+8H7fvs8+vf6tvqP+o/6rfrN+t365Pry+wf7Fvsf+yz7QvtY+2T7a/tx+3f7fPuC+4X7gvt6+3b7ePt4+3f7fPuD+4f7lfvA+/j8BfvQ+4n7bftz+1P68vqD+kz6V/qC+qf6vfrM+tz68Pr/+vj60/qZ+ln6IPn7+e353/m8+Y35dvl6+Wz5KfjM+Iv4cPhX+Cb37PfA95/3ePdC9wH2t/Zp9hv10vWS9Vr1I/Ti9JX0UvQw9DL0R/RX9FH0KvPh84bzLPLY8nzyGPHB8YnxaPFF8QnwqPAg73juxu4j7aTtTe0S7N7sqeyB7HDsbuxk7ErsJev668/rsuu+6/DsI+wr6/zrtet962nrdOuB63rrXOs56xvq++rL6pLqXuo16hDp7OnM6a7piOlU6Rjo3+iv6IXoWegl5+vnsueB51LnHObg5qHmYuYg5dzlmuVc5SDk5uSs5G3kKePp47Hje+M84vLip+Jg4hrh0OGF4Tvg7uCX4Dbf1d963yLexd5g3ffdk9083PHcrtxu3Crb3duK2zna8tq12oDaTtoZ2eXZytnm2jjahtqH2ibZn9k+2RnZCNjZ2IrYOtgB197Xw9en14fXZtdM10bXWdd615XXn9eY14TXaNdP10bXTddX11jXWddq14vXsdfa2AvYSNiI2MfZENlp2c3aLtqJ2uLbOtuV3ADchN0b3bTeQt7B3zPfoeAZ4KbhQuHh4oPjLePd5IrlMeXW5nbnDeeu6G/pQenu6lHqhurI6zDrp+wN7FrslezE7O3tIe117fvutO+J8FjxB/Gg8j7y5vN489Hz+PQZ9F700/Vy9j/3RPh0+Zn6c/rv+zv7kfv+/GH8ovzX/SP9jv3//mf+yP8v/5X/7AAyAHcAywEnAX8BzwIlAocC7wNPA6gEAAReBMMFNwW4BjoGpgb6B0UHmwf8CFoIrQjyCTMJdgnDChYKawq+CxMLagvEDCYMkAzyDUQNkw36DnwPAg+AEAIQkREaEYsR9xJ9ExAThBPNFBQUfBT3FWIVthX7Fh4WARW2FXkVahVuFV8VSxVWFYgVwhX4FjkWhxbJFvQXIBdjF64X7BgnGHIYxxkSGVcZoxnyGjkafxrMGwcbJRtdG9scQxvYGkwYORaTFdMVzxY1FswXcBgMGKgZTxnnGlcawRtZHAIcaRxzHGccfxyoHLwcyxzyHRIdABzLHKkcrByuHJAcWRwZG9wbrxubG5UbiRt2G2YbVhs+GycbHhsaGwoa7xreGtwa2xrVGs8axRquGpAagxqKGpIakhqVGqIarhqvGqkamhp7Gk4aJBoHGe8Z0xm4GaMZjhl0GV0ZThlDGTUZJBkRGP4Y8BjrGOcY2BjCGK0YiRhIGAAX3BfTF58XJBaiFmYWYxZSFhMVxhWJFVgVNBU1FVcVbxVcFToVOxVmFZUVphWaFYcVeRVvFV0VRRU4FUMVUhVBFQMUsRRlFCAT2xOjE4kThhN6E1UTHBLhEqwSfhJUEisSBBHdEbARcBEcEMUQgBBQECsQBg/iD8EPnQ9yD0IPFA7oDroOhg5NDhcN7Q3ODawNfQ1EDQcMzQycDHYMUgwoC/wL3wvVC88LwQutC5gLewtSCy4LEgriCo8KTApmCtULHwrhCj8JtQmKCZUJlAl/CW0JXwk+CQcI0AioCIsIawhGCCEIAgfsB98H1wfLB7oHqQedB5EHgAdqB1MHPwcyBysHJgchBxkHDgb9BuMGxAasBqAGngahBqcGqwakBpEGewZrBmMGWwZOBjkGGgX5Bd8FzgW5BZkFeAVpBW0FdQV4BXkFdwVvBV8FUwVRBVMFUQVNBUoFSgVOBVgFZQVsBW0FbwV1BXgFcQVtBYAFpgXGBc8FxQW7BbsFygXjBfwGCwYRBhoGMQZPBmgGeQaEBokGgwZ6BngGgQaPBpwGsQbVBwAHGwcQBuUGtAaVBo0GjgaMBoMGcgZZBj0GIgYJBesFyAWoBZcFjwWHBXsFcQVqBVwFQQUdBPYE0gSzBJoEiQR3BGAERAQqBBMD/APkA88DvQOtA5kDgQNoA1ADOQMgAwcC7QLRArECjwJsAk0CLwIPAesByAGqAY8BcQFOASUA/QDVAKwAhABgAEAAJQAK/+z/yf+j/37/V/8s/v7+z/6l/n7+W/42/gv92f2o/Xz9Vf0q/Pn8yvyi/H/8W/w2/BL78PvM+6f7gvtc+zX7Dfrr+s36rPqG+l76OvoX+fT5z/mr+Yn5aPlG+ST5BPjo+M74sfiP+G74Ufg1+Bj3+ffb9733m/d391b3OPca9vr23PbB9qP2hfZr9lX2QPYm9gz19fXh9cz1uPWm9ZP1fvVs9V/1U/VG9Tr1MvUu9Sn1HvUQ9QP0/PT69P71BPUL9RT1HfUi9ST1K/U59Ur1XPVs9Xz1ivWX9ab1t/XG9dP14vXz9gb2F/Yo9jj2SfZa9nD2jPam9rv2zfbh9vb3C/cg9zj3T/dk93r3k/et98b34PgA+CL4Q/he+Hb4jPig+LX4zPjm+P75Ffks+UT5Xfl2+Y/5p/nB+d75+/oW+i76Svpp+ob6oPq5+tX68PsK+yX7Qvtf+3f7jvun+7/71Pvr/Ar8MPxW/Hj8mvy7/Nv8+v0Y/TP9Tf1q/Yr9qf3D/d39/f4c/jf+UP5t/or+pf7B/t/++f8N/yT/RP9o/4T/nf+//+kACwAdACgANwBNAGsAkAC1ANIA6AEBASQBUgGDAbAB0wH0AiYCagKnAsoC6AMnA4MDzwP2BA8EOgRyBJ8EwATgBPgE8QS8BGsEMQRGBLkFVAXIBgMGTgb7CBIJUgpyCzALRQqACRsHxAccBy4HdAd0BygG1wauBpsGfAZIBgEFoQUjBJ4ELwPfA6UDcQM+Av8CqgJHAekBoAFmATEBAgDZALAAewAx/8n/SP67/jn91/2d/Yj9h/1//WL9SP1U/YL9o/2L/T383Px2/Aj7m/tK+yD7C/rv+sP6kfpd+iH51vl/+Sv44vih+F34FvfN94j3RvcK9tX2nfZV9f/1svV59Uf1CvTK9Jv0ifSD9Hj0XvQ79Bz0CvQJ9BP0IPQu9DX0LvQb9Ajz+/Py8/P0BfQe9CP0D/QF9Cb0Y/SQ9KD0qPSy9K70jvRe9Cvz/PPV88jz3fQG9DT0Y/SX9Mz0/PUp9VX1f/Wo9dj2EfZK9nr2p/ba9xL3S/eD9733+fg1+HX4u/j++Tz5efnA+gz6Vfqa+t/7Kftz+7v8AfxG/Ir80P0V/Vb9lf3V/hr+X/6i/uP/JP9m/6j/7gAzAG8AoADTARgBaAGsAdsB+wIYAjYCUQJpAoMCowLDAt8C9gMKAx8DNQNKA10DbgN/A5ADoAOyA8cD4QP8BBQEKAQ4BEYEVwRnBHQEfgSKBJoErgTDBN0E+QUPBRwFIgUsBT8FWgV8BZ8FugXDBb0FswWuBbQFxwXlBggGKAY+Bk4GWQZjBm0GegaLBp4GsQbFBtkG5wbwBvsHDgcqB0sHbAeNB64HygffB+0H+AgBCAkIEggbCBwIDwf8B/UIBwgnCD8IPggrCBQIAgf1B+wH5AfWB8QHsQemB6IHnweZB4sHdAdYBz4HKQcWBwgHAwcKBxEHDQcABvEG4AbNBrwGsgaoBpkGiAZ+BncGeQZ5BnsGfgZ4BmoGXQZPBjcGFQX3BeEFygW0Ba4FvwXSBdcF3AX1Bh0GPQZTBnEGlAajBocGTgYZBfwF+AX8BfMFzQWaBX4FhwWXBYAFRAUQBQYFEgUHBNYEnQR6BGYEPwPwA4MDEwKzAmgCLgH7AccBigFEAPwAtwB5AEMAE//m/7v/l/96/1v/KP7Y/nf+GP3B/Wn9B/yh/EH76/ub+077BPq6+mv6H/nv+fH6HvpW+nz6kvqk+rf6xfrU+u/7E/su+zr7QftL+1b7Xfte+1v7VftT+1n7X/td+1j7XPtn+277gPu4/AH8Gvvl+5r7g/uQ+2/6+vpw+ir6P/p8+qj6tPqx+rv62fru+uD6rvp1+kj6JPoG+fL54fnC+Zv5hvmI+Xj5M/jR+IP4Vfgs9/b3w/eh94T3W/cj9uP2oPZY9hD1yfWH9Uz1E/TV9JL0XPRH9E70WvRY9D/0CvO581by9vKe8kbx7/Gp8XvxUvES8KzwKO+S7vTuWu3R7WftI+z87Njsp+x17GDscuyN7IfsWewd6/Pr7uwL7DPsRuwr6+3rrOuH64PrjeuP633rX+s+6x7q9urD6o7qYOo56hTp8+nY6b/pnOln6Sbo5uiu6H/oUOgc5+PnrOd650bnDubT5pjmWuYX5dLlj+VO5Q7k0+SX5FXkDOPI45TjZuMu4unioeJf4h7h2uGU4U/hBuCy4FXf99+a3zve195w3grdqN1R3Qbcw9x+3DHb29uF2zfa89q22n/aUNoj2fTZ1Nnk2i/af9qC2iLZm9lC2SrZINjt2JXYP9gF1+TXyNer14vXbddW11DXYNd+15rXqdeo15jXftdm11/XaNdy13LXcNd715jXvdfm2BjYU9iP2MnZDNlh2b3aEtpg2rbbHduX3CDcs91J3dneYd7f31Pfu+Ai4JrhKeHI4nDjIOPV5InlPuXz5p3nM+fF6G/pMOnc6kzqjOrN6y3rnewB7E7slOzd7SXtYe2X7efubu8t8Abw4fHB8qzzh/Qm9HL0iPSU9Kz01vUh9bj2vfgl+aD6zft/+9r8Ifxy/Lb82Pzy/TD9m/4W/oL+4f9B/6YAAgBQAJsA8AFOAasCBQJjAsoDNAOVA+kEOQSPBPMFaQXsBm4G3Qc2B4IHzQgiCH8I3QkvCXQJuQoHClkKqQr3C00LqwwKDGcMyg0uDY0N7g5lDvAPcg/aEDcQnREHEXAR7xKZE1gT9hRaFJsU3RUnFXQVxxYYFkYWMRXqFaQVfxVnFT8VDBTwFQUVQRWPFd8WJRZcFo0WxRcLF1IXkBfOGBgYZRipGO0ZRRmvGhMaXxqfGt8bKhuFG98b6hs6GawXrhYAFS0VShYFFu0XuBhnGSQZ7BqDGsga+xttHA4cfxyVHIgcmRy/HNsc7x0OHSMdEhzoHM0cxxy7HJgcYxwpG/IbxxuzG6wbpBuZG44bfRtjG00bRRtAGykbCBr0GvMa8xruGuYa2RrEGrAarRq1GrcarxqtGrgaxRrJGsYauBqXGmcaOxoeGggZ7RnRGboZphmTGYIZcRldGU4ZRRk4GSEZDhkOGRAY/hjhGMwYqxhgGAUX3hfwF+IXeBbtFqIWmhaGFj8V7hW4FZIVbxVkFXwVlBWJFWcVXRV+FbAVzhXOFbkVoBWJFXAVURU7FT8VThVCFQgUtRRoFCkT8hPGE60ToRORE3ATPBL5Eq8SbxJCEiQSBxHkEbwRhhE/EO0QpBByEFEQMBAGD9YPpw99D1YPMA8JDt8OrA5wDjgOEg34DdcNpA1lDSgM9AzHDJ8MeAxGDBIL7wvlC+YL4QvVC8ULqQuAC1sLPwsPCrMKVQpCCoQKvwqeCjYJ4gnRCdsJ0QmvCYsJaQk/CREI6wjKCKIIcwhLCDEIHQgJB/cH6wfgB84HugerB6EHmQeMB3wHbAdcB00HQgc6BzYHMAceBv8G2wa+BqwGpQakBqgGrAapBp0GjgaABnMGZgZXBkAGHQX6BecF4wXZBbcFjAVxBW0FcAVxBXEFcwVwBWYFYAViBWUFYgVcBVcFVAVRBVIFWgVkBWoFbwV1BXMFaAVkBX0FrwXdBfAF7AXfBdMFzwXZBe0F/QYDBgYGEgYpBkQGWwZtBnoGfQZ6BnwGigacBqkGsAbABuEHCAcZBwUG1gaoBooGfAZ3BnUGcAZiBkoGMQYYBfoF1QWzBZwFkAWEBXcFbAVkBVgFQAUjBQYE7ATSBLkEpASSBH8EaQRSBDoEIgQKA/UD5APRA7oDoAOGA28DVwM8Ax4DAALjAsYCpgKGAmgCSwItAgoB5gHEAaUBhQFgATgBDgDnAMIAngB7AFoAPAAfAAH/4f/A/5z/dP9G/xb+6P6+/pj+df5S/ir9+v3I/Zv9dP1L/Rv87PzD/J/8efxR/Cr8B/vm+8P7nvt4+1H7LfsP+vP60vqs+of6ZvpH+iX5//nZ+bT5j/lr+Uj5KPkM+PH40/ix+JD4dPhb+EH4I/gC9+D3vfea93r3XPc99x32//bj9sf2qPaO9nj2YfZF9iv2FfYC9e312PXG9bX1ovWR9YX1ffV09Wr1YPVZ9U/1QfUx9ST1HvUc9R/1JPUr9TP1O/U+9UD1RfVU9Wn1fvWP9Z31qfW29cb11/Xm9fT2A/YV9if2N/ZH9lj2a/Z+9pX2r/bH9tj25/b69w73Ivc190v3Y/d694/3pfe+99f38vgS+DT4VPhv+If4nPiu+L740/jt+QX5Gfku+Ub5YPl4+Y75pPm8+dj59PoP+in6Rfpj+n76mPqy+tD67vsK+yb7Q/tf+3f7j/un+7/71vvw/A/8M/xW/Hr8m/y4/NL88P0R/S79R/1f/Xz9mf20/dD98v4S/iv+Qf5b/nr+l/6x/sv+5P76/xL/Mf9S/2v/gf+i/8r/6//7AAQAEwApAEYAawCUALgA1ADuARABOQFlAY8BtgHdAg4CSwKCAqoC0AMQA2YDsQPbA/gEJwRjBJUEtQTLBNIEsgRqBCQEIQSABSEFuwYkBnQG8AfBCMwJ1wq0CzULFQouCM0HpQc3B2YHrAe2B5wHigd6B0sHAwbBBoQGKwWnBRkEqARdBCYD9QPAA3sDIgLCAm4CKgHrAa8BfgFUASQA4wCNACL/of8X/pr+Of39/eL91/3D/Zb9af1l/Yn9pv2P/Un89Pya/Dj71/uS+3H7X/tB+xL63Pqk+mX6F/m9+WD5C/i9+HP4K/fm96L3Xvcg9uz2u/Z+9jf1+PXJ9Z/1a/Ux9QH04vTK9K/0jfRm9ET0MPQq9Cr0KPQn9Cr0L/Q29D30PvQ39DP0RfRg9GP0QPQd9CL0RvRl9HT0iPSl9LL0lvRY9BHz0fOo86Lzw/P49C70YfSY9ND1A/U09WT1lfXE9ff2LvZn9pz2zvb+9yz3WveO98f3//g2+HL4tvj9+T75ffm/+gT6SvqR+tn7Ivtq+7X8AfxK/I780P0T/VP9jf3E/gH+Qf6C/sL/BP9J/4//2AAfAF0AkQDGAQcBUgGXAcwB9QIZAj0CXgJ4Ao8CpgK+AtYC6wL/AxgDMgNJA1oDagN+A5QDqAO6A84D5QP+BBYEKwQ7BEcEUwRgBGsEdAR+BI0EoAS1BMwE4wTzBPkE+wUDBRYFMwVXBXoFkAWVBYwFhAWFBZEFqQXIBekGBAYTBhkGGQYWBhYGIAYzBksGZQaBBp0GtQbIBtkG7gcKBysHTwdwB4wHoAetB7YHvwfKB9gH6wgECBkIHggTCAkICggSCBAH/QfjB9AHyAfDB78HtgelB4wHcwdjB10HXQdcB1MHRQc5BzcHPAdEB0cHRAc6ByYHCwb0BuYG2AbFBrEGogaVBoQGdgZzBnwGggaGBowGjgaGBncGaAZVBjYGEQX3BeoF3gXSBdQF4wXqBeIF3QXrBgMGEQYZBisGQwZIBi8GBgXjBdAFzAXKBbcFhwVPBTIFNQU2BRoE9QTsBP0FAQTcBJ0EagRSBEEEGQPMA2MC9AKRAkAB/wHFAYoBRgD3AKQAWwAk//v/1f+s/4L/W/87/xb+3v6K/if9y/17/Sj8wPxH+9X7ePsu+uz6qvpi+g/5ufl++Xz5r/n1+iz6TPpf+mv6dvqM+rP63fr4+wP7Dfse+yz7MPst+yf7JPsp+zb7P/s6+zP7O/tQ+2D7d/ur++/8B/vd+6r7rvvL+6L7Efpn+hD6J/px+qb6rfqd+p76uPrN+rj6g/pV+kD6M/oc+f/54vm/+Z75kvmc+ZH5Uvjz+KP4afgs9+L3pPeF93T3Vvcf9tj2jPZC9f31uPVy9S708vS59IL0WPRK9FH0V/RJ9CTz5/OR8yzyyvJz8iLx1/Ga8WTxHvCz8Crvme8M7oPt/e2B7Rzs3uzD7LLsi+xX7ELsZuyf7K/sgew+7BrsI+w/7E/sQuwX69/rr+uW65PrleuO63vrX+tA6xrq7eq96pHqa+pH6iLqAeno6dDpr+l/6ULo/ui96IPoTugX597np+dx5zvnBObL5pHmUeYM5cflheVF5QfkzOSQ5Evj/uO143zjTeMa4tzim+Jb4hrh2OGY4VrhFODD4G3gFN+231De5t5+3h3dwN1p3Rzc1NyL3Djb3tuH2zra9tq52oXaW9o12gnZ49no2ibacNp12hnZmNlJ2TzZN9kF2KvYVNgb1/jX2de415jXe9dj11jXX9d215LXp9et15/XhNds12XXb9d914LXgteK16DXwNfn2BbYSth/2LTY89lE2ZrZ6do12pPbEdup3Efc3d1m3efebN7y323f0uAr4JXhI+HN4n7jLePd5JflW+Yb5sbnUufR6GHpCemq6iHqceq/6yTrlOvz7Dvsg+zh7Uztpe3d7gruWu7l75/wdfFl8m7zbfQv9J/01/T39Qr1FPUx9Zr2gvfk+XT6zPuv/C/8hPzO/P/9EP0d/VL9uP4v/pr+9/9T/7MAEQBqAMEBGwF6AdoCOAKXAvwDZgPMBCQEcQTDBSYFnAYdBpkHCQdqB7wIAwhMCKIJAQlZCaMJ7Ao9Co8K2gsmC4ML7wxVDK4NCQ1uDdoOSg7FD0cPuBAMEFAQnBD3EWcSABLME6kUXhTOFQwVORVkFZgV2xYkFlQWUxYmFe0VvBWQFVQVAhS2FJ4U0BUuFYUVvxXvFi8WfhbGFv8XNBd0F78YBRg8GHIYxBk4GbAaCBpMGqUbJRufG8kbbhp9GQcXSRW7FOoVJhY1F4QYmRlsGikazxsoGykbKBt7HAscfByfHKEctRzSHOIc7B0BHRUdEBz5HOsc5RzSHKUcbBw2HAkb6BvUG8UbuBuuG6YbmhuGG3UbbRtlG08bNBsjGxobDxsAGvQa6hrdGtEazxrSGs8ayRrKGtQa3xrlGuYa2Rq5Go0aZxpJGisaCxnsGdAZuhmsGaMZkBl1GWMZYxlgGUoZMxkzGTYZHxj9GOkYyRhrF/MXyRgHGDsX9hdiFvUWzRanFlkWCxXhFcUVoRWJFZUVrhWvFZsVkhWkFcQV4RXvFekV0hWzFY8VZRVAFTUVQhVGFSEU1hSEFEIUERPvE9kTxhOuE4wTWBMNErISYhIyEh0SChHqEcMRlRFaEREQyxCXEHMQUBAhD+kPtA+JD2gPSQ8pDwUO1g6dDmcOQw4rDggNzw2LDU4NHgz2DNAMpgxvDDQMCQv8C/0L+QvvC+YL1QuyC4ULXAslCssKZQo1ClMKhgqJCloKLQoiCiMKFAnxCcAJgwlCCRQJAAjuCMQIhwhWCD0IMQghCA0H/QfwB98HyQezB6MHmQeVB5EHigd7B2gHWQdRB0wHQgctBw0G6wbPBr0GtAa0BrkGvAa5BrAGpgaZBoYGcAZaBkEGIAYBBfQF+AXzBdQFpwWFBXYFbwVqBWoFbwVwBWsFawV0BXwFeQVvBWYFXgVXBVQFWwVmBW0FcgV1BXQFawVnBXoFpQXTBfMGAgYCBfQF4QXZBeYF/QYLBgsGCQYRBiIGOQZUBmwGewaABoIGjQahBrEGtga6Bs4G8wcSBxMG+AbSBq8GjgZzBmMGYAZeBlEGOwYgBgMF4gW/BaIFjAV7BW0FZQVeBVUFRgU1BSYFFgUBBOYEzAS3BKMEjQRzBFgEPgQnBBMEAAPqA9ADtAOaA4QDbgNTAzMDEgL0AtgCvQKiAocCbAJOAiwCBgHhAb0BmwF4AVIBKQEDAN8AvACYAHIATwAuAA//8P/R/67/hf9Y/yr+//7X/rL+jv5s/kX+GP3o/bv9k/1p/Tv9DPzh/Lr8kvxo/ED8Hvv++9z7tvuQ+2v7S/sx+xb69frP+qv6jPpv+k76KfoE+d75uPmU+XP5VPk3+Rn4+fjW+LT4l/iA+Gf4SPgj9/732ve69533gPdh9z/3IfcF9un2zPaw9pj2f/Zj9kn2NfYj9g/1+fXm9df1xvW29ar1o/Wd9ZP1ifV+9XH1YvVU9Uv1RvVE9UX1SfVO9VT1WfVb9V31Y/Vx9Yb1mvWr9bj1xPXS9eT19/YI9hb2JfY39kn2WfZp9nv2kPak9rn2z/bi9vD2/vcR9yb3OfdK91/3ePeQ96T3uPfP9+n4B/gn+Eb4Yvh7+JX4rPi8+Mn42vjx+Qf5Gfks+UT5X/l2+Yv5oPm4+dH57PoH+iP6QPpf+nv6lfqv+sv66fsH+yX7Q/tg+3v7k/uq+8L73fv8/Bv8OfxX/Hf8lfyu/MT83v0B/SL9PP1U/W79iv2j/b/94v4E/hz+L/5J/mn+iP6h/rj+0P7n/wD/Hf88/1T/Zv9//6D/wP/V/+T/9gAMACgASwB0AJsAuwDcAQIBKAFMAXMBoAHNAfkCKAJZAogCtwLzA0EDigO/A+sEIgRgBJEEqASsBJoEaAQkBAMENwS6BVQF1AZCBswHkgiBCWsKMgrJCw4KwAnJCIcHmwdZB4gHugfGB9AH5gfhB6gHWwcnBvwGqgYmBZkFKATYBJsEawQ+BAEDqANGAvACqQJmAiQB6QGyAXMBKgDXAHL/9P9s/vX+of50/mX+XP43/en9mf14/Yr9mv2A/UP9APy8/Gr8E/vT+7X7q/ua+3T7Pfr5+qz6Vvn3+ZX5Nfjc+In4P/f99773ffc99wX21Pac9l/2KfX/9dj1p/Vw9UH1HfT99Nv0tvSQ9G70WPRM9EP0OfQz9Dn0S/Rj9Hr0g/R69HH0gPSd9J/0d/RE9DP0QfRR9F30d/Sj9L70rPRp9A/zuPN+83bznfPc9Bn0T/SF9Lz08vUq9WX1n/XW9gn2PvZ39rL26vcd90r3ePer9+D4E/hE+H34v/kH+Uz5jPnJ+gP6QfqH+tL7Gvtg+6r7+vxH/In8yP0I/UT9eP2p/eD+H/5g/qL+5f8r/3P/uwAAAD8AeQCyAPEBOAF+AbwB8AIcAkQCaAKDApYCpwK8AtQC6gL+AxYDMANHA1kDbAODA50DswPGA9gD6wQABBcELAQ8BEYETQRWBGEEbQR5BIUEkQSfBK8EwATMBNIE1QTfBPQFEgUzBUoFUgVMBUUFRwVTBWYFfwWaBbMFxQXQBdEFxwW6BbMFvgXXBfgGGAY3BlQGbwaFBpkGrwbLBu4HFAc5B1kHdAeIB5oHqge4B8YH2gf1CBIIIgghCBQIBwf4B+AHwAeiB5IHiweHB4EHdwdlB0oHLgcdBxoHIwcxBzwHQwdKB1YHZQdvB28HZAdMBysHCQbvBt8GzAazBpsGjQaCBnYGcAZzBogGkQaYBp4GnQaPBnsGaAZTBjYGGwYOBgsGBQX+Bf0F/wX3BekF5AXtBfUF8wXzBfoF/wX6BfUF9gXvBdIFrwWdBZQFeAVJBSMFFAUJBPIE5ATxBQME8QSyBGcEMgQUA/oD0wOVA0MC5gKMAj4B+QG1AWwBFQCzAFYAEf/r/9T/t/+N/17/Mv8I/tf+kv42/dD9dv0r/Nv8b/vq+2r7CfrJ+pv6bfoy+eP5ivlF+Tf5Yvmn+eL6B/oY+hv6H/oz+lv6gvqa+qX6t/rO+t/65frp+vD6+PsB+wz7FPsS+xD7IvtE+2H7ePub+8X70/u++7j74/wJ+8/7I/pn+gr6IPpp+pz6n/qJ+n76h/qJ+mn6NfoV+hf6H/oS+fb51vmy+ZP5kfmq+bH5gfks+Nz4l/g/99P3evdV91T3Tvck9tf2evYj9dr1mPVS9Q701PSk9Hf0UvRA9EH0QfQu9AXzwvNo8wLypPJT8gnxv/F38SjwvfAx75nvD+6W7h7to+0r7MXsg+xo7F3sQOwW7A3sReya7L/snOxd7D/sSOxX7E7sLuwF69zruuui65brj+uF63TrXes+6xbq6+rC6p3qeupW6jHqEun46eDpwemX6V7pGujS6JDoU+gW59bnmudl5zXnA+bN5o7mSeYC5b/lguVG5QrkzuSR5E3kAOO043LjOuME4szikeJR4gzhy+GR4VrhGODK4HngKN/N32Pe9d6M3izd0t1+3S/c49yU3D/b5tuR20TbA9rJ2pfabdpG2hvZ8tns2hvaW9pk2hfZptle2U/ZR9kU2L3YbNg12BDX7tfK16jXi9dy12PXYtdw14rXpNew16XXi9dx12fXbtd814bXi9eU16nXx9fs2BTYQNht2KDY4Nkw2YfZ2tou2pbbIdvC3GDc7N1o3ePead7033Lf1eAs4JrhNeHs4p/jROPp5KDlaOYp5sznUOfI6Ezo3eln6dfqNuqf6xnrkevw7DXsfOzj7Wjt5e437mLulO7074LwLPDv8c7yuvOO9DH0p/T89TL1TPVr9cb2j/fG+S/6e/t4/Cj8qf0G/Tb9Qv1Q/Yb95P5R/rr/GP9x/8gAIwCDAOgBSgGqAgoCaALGAykDlQQBBF8ErQT8BV0F0QZLBsAHLweXB/MIPgiBCM0JJgl+CcwKHApzCsoLFQtiC8gMQQyvDQcNWw2/DiwOlw8BD2oPyBAQEE8QmBD2EXYSKxMSE/kUpxUMFUcVdxWoFdkWCxY9FmUWdRZnFjwWBBXOFZMVOhTLFIEUlBTuFUoVhxXGFiUWiRbIFuQW/hctF2gXnhfKF/oYQBioGR0ZgRnbGl4bDxubG5ga7RnWGIgXFxW9FQIVWRacGCYZaxpVGwUbcxt9G0EbJRtuG/ccZhycHLYc0hziHNwc2BzqHQQdCRz/HPkc+RzoHLocfxxNHCwcFBv8G+MbzRvAG7gbrhugG5Mbhxt5G2gbWxtTG0gbNRshGxYbERsIGvoa7xrqGuoa7xr3Gvwa/hsAGwEa8xrUGrEalBp4GlQaLxoQGfUZ2hnLGcUZtBmTGX0ZgBmCGWsZUxlWGVwZQxkeGQ0Y6BhzF9wXsRgeGJMYchfRFzsW8Ba6FmwWJhYCFecVvxWiFasVxxXWFdQV0xXWFdoV5RX3FgEV9RXYFbYVjBVeFUEVQxVOFTsU/xSwFGoUOBQYE/8T5RPFE50TZxMZEroSZBIxEhsSBxHqEcURnRFtETIQ8xC7EIwQYRAyEAAPzw+kD4EPYw9HDykPAw7TDqUOhA5qDkMOBw3BDYUNVA0rDQcM4QysDGoMNAwYDA0MAgv7C/8L/gvfC6MLZAskCtcKhApaCnMKqAq7CpgKYAo6Ci4KKgoZCegJlQlBCRMJDgkKCOEImgheCEMIPgg3CCYIEAf8B+kH0we6B58HjAeIB44HkAeFB3QHaAdiB1sHTQc5ByUHEAb3Bt4GzgbMBtAG0QbKBsAGtQamBo8GcwZXBj0GIQYKBgEGBAYABegFwwWjBYwFeAVpBWYFawVsBWgFbQWABZAFkQWFBXcFagVgBV4FZQVxBXYFdgV3BXsFewV4BX8FlAWyBdQF9QYKBggF8wXiBewGCQYfBh8GEAYFBggGGQYyBk4GZgZ0BnoGhAaXBqsGtQa5BsgG5wcHBxcHGQcXBwsG5QapBnUGXwZdBlcGQQYkBgoF8AXRBa4FjgV2BWcFYAVdBVsFVwVSBUwFQQUvBRUE+QTgBMgErgSOBG4EUQQ4BCQEEAP6A+ADxAOqA5QDgANoA0oDKQMIAusC0QK6AqICiAJpAkcCIwH+AdkBtwGWAXIBSwEkAP4A1wCuAIMAWQA0ABP/9f/W/7T/jf9k/zv/FP7v/sr+pv6B/lv+MP4D/dj9r/2F/Vj9KPz7/M/8pPx6/FX8NfwW+/T7zvun+4X7aPtP+zb7Fvrx+s36rfqN+mz6Sfom+gP53/m9+Z/5gvlj+UL5H/j7+Nj4uvii+In4aPhA+Bj39/fa97/3oveC92D3QPck9wr27fbR9rf2nfaB9mj2VfZD9i72GPYG9fn16/Xc9c71xfW+9bX1qvWd9ZD1g/V59XT1cPVu9W71cfV09Xb1efV89YD1h/WS9aP1tfXF9dL14PXw9gP2GPYq9jj2RvZX9mn2evaK9p72s/bH9tn27Pb89wn3Fvcp9z/3Ufdi93f3j/en97r3zPfi9/z4G/g6+Fb4bfiE+J34tvjJ+Nb45Pj3+Qr5Gvks+UT5Xflz+Yf5nvm2+c755/oA+hv6OfpY+nj6lPqr+sP63fr6+xj7NvtW+3X7kfup+8H73fv9/Bv8NfxN/Gj8hPyb/K/8x/zm/Qf9JP0//Vz9ef2S/av9zP3v/gr+H/45/ln+d/6P/qX+vv7Y/vH/C/8o/0D/Uv9m/4D/nf+1/8v/4f/5ABQANQBaAH4AoADGAPEBFwE2AVsBjAG9AeUCCwI5Am4CnwLSAxMDXgOiA9wEGARWBIMEkgSGBGUEMwQIBA8EXgTZBVMFxAZVBycIJAkRCckKVgrACuMKgAmWCIYHzgeWB6EHpwenB8MH7wf4B84HmweBB2gHIgauBjEFwwVkBRUE3QS0BHwEJgPEA2sDHwLXApICUAIIAbcBYwEPAK0ANP+z/0j/Bf7s/vL+9v7J/mH97P2n/Zv9mP11/T39B/zS/I78Pvv+++L74vvk+8v7j/s6+t76hPon+cf5ZvkJ+LH4Yfgd9+D3ofdg9yP27Pa29n32SvYh9ff1xfWQ9WP1PvUc9Pn01PSv9JD0e/Rw9Gf0XPRX9GD0ePSZ9Ln0xvS89K30s/TK9Mz0qPR19Fv0W/Rf9GX0ffSq9ND0z/Sc9EPz3POK82rzhPO+8/70NvRq9J701vUV9Vr1nvXb9hH2RvZ99rj28vcr92H3l/fN9//4LPhc+JX41/kc+WH5ofnZ+gn6Pvp/+sn7EPtS+5r76fw1/Hb8sPzq/SH9Uv2D/b/+A/5K/o3+0f8X/1//pf/nACUAYgCgAOABIgFlAacB4gIVAkECaAKEApUCogK3AtQC8QMJAx4DNQNLA18DdAOLA6ADsAO9A80D4APzBAcEGgQrBDUEOwRCBE8EYARvBHgEfASABIkElgSiBKkErQS1BMgE5AT9BQgFAQT2BPQFAgUYBS4FQwVUBWEFbgV6BYQFhQWBBYMFkwWvBcsF4gX1BggGHAYwBkcGYwaGBrEG4AcQB0AHcAecB74H1gfhB+IH4AfkB/AH/Af8B+4H2Ae7B5kHdgddB1MHTwdKB0MHOwctBxgHAgb4Bv0HEgcwB04HZQd0B34Hgwd+B24HVQc3BxcG+QbjBtEGuQadBogGfwZ8BncGdgZ9BpoGoAalBqYGnwaMBnYGYgZQBj0GMAYvBjMGMQYqBiQGGQYGBfcF9gX4BfAF5AXjBeYF3AXWBfsGPQZZBiAFwAWHBYQFhwVqBUAFIQUNBPoE8wT+BP8E2ASNBEAEBAPXA68DiQNfAygC4wKYAlACCAG5AV0A8wCAAB3/4v/Q/8j/rP92/zr/A/7L/on+Nv3X/XX9HfzQ/H78EfuN+w/6sfp6+lv6PfoR+cv5dfkr+Q75Jflb+ZP5u/nL+cf5v/nH+eH5//oS+iX6P/pb+m/6gfqf+sL62vrh+uT66frs+vL7Cvsz+1r7dPuK+577pfuk+7v78PwJ+7z7Evps+iH6Nfps+o36ivpy+l36Tfoz+gX52fnN+eP5/foC+fT52vmx+Yv5ivmy+dH5tflm+RD4ufhK98L3TvcZ9x33KvcU9s32Z/YD9bP1cfUw9PP0wvSb9HX0T/Q19Cv0I/QO8+PznPM88tPydPIj8dPxfPEg8LrwPe+q7xruoO4z7cTtT+zf7H/sOewU7ATr8evd6+zsOeya7Mrsr+x27FjsWOxX7ELsIuwC6+Trxeuq65jrjeuD63XrXus/6xrq9erT6rLqjepm6kPqJuoM6fHp0emo6XHpLejk6KDoXugY58/njedb5zPnCebS5pDmR+YB5cTli+VS5RTk1eSW5FLkCOO843TjMeL14r/ih+JF4fvhueGF4VXhFuDK4H3gMt/d33bfBt6b3jrd492S3UPc8tyd3Efb8tug21XbFtrh2q7aftpU2ivaB9n52hTaQ9pP2hbZvNl92WfZU9kb2MjYe9hI2CPYAdfd17rXm9eD13LXa9dv14HXmteq16XXkNd613DXctd714TXjtec17PX1Nf52B3YQdhr2KHY5tk82ZfZ79pJ2rTbOtvO3F3c3t1Z3djeX97l31zfweAl4KbhUeIO4rvjUePm5JTlU+YI5qPnK+ez6EPoyuk36ZDp8upy6wbrjuv07D3sh+zx7YHuF+6K7s7vCO9e79TwU/DQ8V/yCvLE83j0HfSt9SH1cfWy9hb2yPfK+PP6EvsP++v8oP0b/VD9Wv1v/a7+Df53/uD/Rv+h//AAQgCkARIBegHZAjUClALzA1cDxAQyBJQE5AU1BZUGBQZ4BucHVAfACCQIdwi8CQMJVQmrCgAKWQq5CxYLZgu4DCIMnw0QDWkNvA4eDoQO4A8yD4YP1xAeEGEQrxEUEaISahNdFD4U1BUgFVYVnxX1FjsWZRZ+FpcWsxa5FpMWTRYMFdkVihUMFJ4UjxTeFUYVoRYIFogW8BcRFwUW/hcMFx0XMhdcF5oX4xg4GJwZBxmBGioa9huBG10aixltGEcXFhX7FXYV8xc8GK0Z0hqrG00blxtvGxIa9BtFG88cRByOHMMc6hzzHOIc2BzrHQgdEh0JHQUdBxz5HMwckRxhHEUcLhwSG/Yb4xvZG9AbxRu5G64bnhuHG3QbaxtpG2EbUxtIG0MbPhszGyMbFRsNGxEbIBssGyobIhsfGx4bDBrpGssatxqcGnUaUho8GiYaCRn1Ge4Z3xm9GaIZohmhGYcZbxl2GYIZahlFGTcZDxiGF9UXpxg0GNUYyxgeF20XDRbPFoUWRRYkFgoV4hXIFdQV7xX7Ff0WAxYEFfgV8hYBFhMWEBX7FeMVxRWZFW4VWxVbFU4VIBTfFKEUbxRHFCQUABPWE6cTbRMjEswSfRJFEiMSBxHpEcoRpxF8EUoRFBDdEKYQchBFEB0P9Q/JD6EPfw9jD0kPKg8EDt8OwA6kDnoOPw3+DcINjQ1gDT0NHAztDKkMYgwuDBAL/wv9DAsMEwv0C60LXAsXCtYKngqPCr0LAAsTCtYKbwogCgkKGAocCe8JlglBCRwJHwkcCO4IpQhmCEsISQhKCDwIIggDB+sH2AfAB6EHhQd6B4AHhQd+B3MHbwdvB2kHXQdWB1UHTQczBwwG7AbfBt8G3gbWBskGugaoBpEGcwZUBjgGIAYPBgQGAAX8BfAF3gXHBawFjQV0BWoFaQVnBWIFagWCBZsFogWYBYoFfgV1BXIFdgV8BXwFeAV5BYMFiwWNBYsFjgWcBbcF3AX8BgYF+QXsBfUGEgYoBiUGEAX/BfwGBQYUBiYGPAZRBmMGdQaKBp4Gqwa1BscG5Ab9BxEHLAdWB3EHVgcFBqoGdAZmBl8GSQYsBhUGAwXqBcYFoAWCBXAFZgViBWUFaQVsBWoFYwVUBT4FJAUIBOwEzASoBIMEYwRJBDMEHgQKA/ID1wO8A6QDkAN5A10DPQMcAv0C4wLNArgCnQJ+Al4CPQIaAfYB1AGzAZEBbAFEARwA8QDDAJQAZwA/ABz//f/e/7z/mP90/1D/Kv8E/t/+uv6U/mv+Qf4Y/fD9x/2d/XD9QP0Q/OL8tvyO/Gv8Tfwv/A375vu/+537gftq+1H7NPsS+u76zPqp+ob6ZfpF+iT6Avnh+cT5qPmI+WX5Qvkg+P744PjG+Kv4iPhf+Dj4Gff99+H3wveg9333XfdB9yj3DPbw9tT2uvaf9ob2cvZg9kz2NvYl9hn2DfX+9fD15PXa9dD1xfW59a31ovWc9Zr1mPWW9ZX1l/WY9Zj1m/Wg9af1rfW29cP10vXh9fH2APYR9iP2NvZH9lX2Y/Z09ob2l/an9rr2z/bj9vX3BvcX9yX3M/dF91n3bPd+95L3qfe+98/34Pf1+A/4K/hH+GH4d/iM+KT4vfjS+OH47/kA+RH5Ifkz+Un5Xvly+Yb5nvm3+c/55fn8+hT6L/pO+m76i/qh+rX6zPrm+v/7Gvs6+177fvua+7T7z/vs/Ab8Hfwy/Er8ZPx8/JP8q/zG/OT9Af0g/UL9Yv18/ZT9sv3V/fX+EP4s/kn+Y/54/o7+rP7K/uP++P8O/yb/PP9S/2r/hP+d/7f/0f/tAAkAKQBJAGcAhwCvAN0BAwEhAUQBdQGoAdAB9QIlAlsCigK1AvADPAOIA8cEAgQ8BGgEcgRdBDwEHwQXBDcEhATrBVgF4AalB6IInQldCeAKTAqnCrwKVQmECKYIEgfRB7IHlgeSB70H9wgPB/wH4gfZB8kHlAc9BtoGdQYNBa0FZgUtBOcEjAQuA9oDjgNHAwgCygJ6AhQBpgE+ANQAYf/x/5n/Zf9c/3f/kf9x/v/+av36/cX9pf13/T/9Dvzf/KP8XPwh/An8Evwd/AX7vPtX+vX6nvpJ+fD5lvlB+Oz4l/hL+An3yveG90P3CPbR9pr2aPY89g/13fWq9X31V/Uz9Q706vTI9Kv0mvSU9JD0ivSH9I/0p/TO9Pf1DfUD9On03vTn9Or00fSq9JH0ifSE9IP0lPS69OP0+PTp9K30TPPl85/zkfOx8+b0IfRZ9JD0yfUJ9U/1lfXU9g32RfZ89rP27fcr92z3rffn+Bf4RPh3+LT49fk0+XL5sPnm+hT6RPqB+sf7C/tK+4772fwh/GD8l/zK/Pr9K/1k/av9+/5H/ov+zf8Q/1T/l//WABIAUACQAM4BCQFGAYcBxwIBAjQCYAJ+AosCkgKlAsYC6wMKAyEDNgNLA18DdAOIA5QDmQOfA68DxgPdA/AEAgQUBCQELAQyBDwETARcBGQEYwRjBGoEdwSCBIYEhASEBI8EpQS8BMQEvgS7BMkE5AT/BRIFHgUiBSIFJAUwBUQFVgVlBXUFiwWfBawFtAW9Bc0F4QX5BhYGPAZqBp0G0AcFBz8HfAe0B90H8gf0B+YHzAe0B6cHpgekB5cHgQdlB0YHLgckBycHLAcsBysHKQckBxoHEAcPBxsHMwdUB3QHiAePB4wHggdvB1MHMwcUBvcG3gbLBroGpAaOBoIGgQaEBoUGhwaQBqkGqganBqIGlgaDBm4GXAZMBkEGQQZIBk0GSwZGBj8GMQYcBhEGEQYLBfUF5wXvBfIF3QXbBioGrgbuBp0F/gWPBX8FkAWHBWQFQQUkBQgE9QTwBOIEtQRvBCkD7QO1A4ADVQMzAwsC2QKfAl4CEQG3AVAA3QBmAAX/1P/P/8r/oP9W/wb+wf56/ij9zP1w/Rn8yPx3/B37s/s9+tD6fvpL+ir6Dvnm+an5XfkX+O748PkU+Ub5cfmC+Xj5Y/lb+WT5dfmJ+aT5xvnl+f36H/pa+pr6v/rE+sD6xPrM+tT66fsR+z77Y/t8+4/7lvuU+5z7rPug+1H61fpw+k36Xvp2+n76dfpj+kf6Ivny+cH5qPm5+en6Gfoy+jL6E/nV+Zf5j/nF+fv57fmZ+S74xPhL9733O/bv9t725vbb9qf2TvXs9Zb1UPUR9Nn0r/SP9G30RvQk9A/z/fPk87nzcvMM8pjyKvHG8WPw/PCW8C/vu+877r/uUu3q7XvtDeyt7F3sHOvu69fr0OvY7APsV+yw7NbsueyD7F/sVOxM7DvsJewN6/Drz+u066brn+uU64DrZetF6yXrCOrr6svqpep/6l/qROoo6gjp4um16XvpNujw6K7obegi59HniedW5zHnCObS5o/mS+YM5dPlnOVg5SHk4OSd5FbkDOPB43fjMuL04r7iheI/4fDhruF+4VHhFeDM4IPgPN/q34jfGt6v3k3d992q3VndAdyn3FLcAtuy22jbK9r22sDaitpg2kPaKdoV2hjaMNo42hLZ0Nmd2YPZYtki2M/Yh9hV2DHYEdfw187XrdeV14XXeddy13jXiteZ15nXjdeC133XfteA14bXktek17/X4tgI2CvYTth82LvZDNln2cHaFdpn2sfbPdu/3D7cut073cLeSN7D3zPfouAd4LXhZ+Ig4sTjUePd5HzlKeXO5mXm/Oel6E/o2Oks6WfpvOpD6ufrfOvt7ETsm+0K7ZruN+7C7yrvgu/q8GHwzfEg8XPx3PJd8uzzjvRG9QL1nvYU9oT3HPfo+NL5wPqv+6L8fP0O/Uf9Uv1w/b3+JP6R/wD/cP/SACAAbwDRAT8BpwIBAlsCuQMbA4AD7ARYBLkFDwVmBckGNQaiBw4HewfnCE4Ipwj0CT8JkAnnCkEKoAsEC2YLvQwTDHsM8g1gDbwOFA53DtkPLg97D84QIRBtELMRAhFpEfkSwROuFH0U9xUtFWYVzRZLFqgWyxbLFtYW+RcPFu0WmhZMFhgVzhVNFM0UqxT4FXUV/BaTFykXfhd6F1QXRBc8FyAXDhc0F4cX1hgYGG4Y6BmDGj4a/htnGyEaQBksGCYXKhZdFjQW7hgpGUIaARqdGy4bdRtIGu0a1xssG7IcJhx7HMAc8x0EHPsc9B0CHRodJB0eHRkdFx0GHNgcmxxoHEgcLBwNG/Yb7xvuG+Qb1RvNG8kbuxuhG4YbdhttG2cbZBtlG2MbWBtLG0MbPxs8Gz8bTRtWG1AbRBtEG0UbMBsKGuwa2Rq9GpQadRpqGlsaPBojGhoaCxnoGcwZyRnEGakZkhmbGacZjRlrGWQZPRilF+EXrhhJGQIZBhhbF6QXOxb2FqgWaRZOFjoWGhYHFhMWIhYZFgwWERYcFhsWGBYlFjYWNBYjFhMV/hXWFaUVghVwFVsVOBUMFN8UsBR8FEoUGRPnE68TcRMuEugSpBJpEjgSERHxEdURsxGFEVMRJhD4EMIQjBBfEDwQFw/sD8EPng+BD2UPRw8mDwMO4w7DDpoOZA4pDe8NuQ2JDWYNSw0hDNoMhQw7DAwL+Av7DAwMEQvvC6cLWAsSCtUKqgqzCv4LVwtqCxAKfwoOCfAKCAoUCeoJnAleCUkJRwkwCPYIsQh9CGMIWghUCEUIKQgHB+sH2QfHB6sHjAd4B3UHdgd1B3UHegd+B3kHdAd6B4cHhAdkBzMHCAbwBuYG4QbaBs4GvQaqBpQGegZaBj0GJgYVBgUF9gXuBe4F7gXlBcwFqQWJBXcFbwVqBWYFbwWFBZwFpAWfBZkFlgWUBY8FigWFBX0FdwV4BYMFjwWXBZkFngWoBbwF1gXvBfoF8wXrBfMGCQYYBhQGBQX+BgMGCwYNBg8GGgYwBksGaAaBBpMGngasBsQG4QbyBv4HHgddB5UHjQc9BtMGigZuBmMGUQY3BiQGFAYABeMFwwWnBZAFfgV0BXQFeQV9BXwFdwVtBVwFQwUmBQcE5QTABJsEfARgBEgEMgQfBAsD8QPUA7kDogOKA20DTgMtAw8C9ALdAscCrgKQAnECUwIyAg4B6gHIAacBhAFfATgBDQDfALAAggBZADQAEv/w/83/qf+I/2X/P/8X/vH+zP6l/nv+Uf4q/gT92/2x/YT9Vf0m/Pj8z/yp/Ij8a/xM/Cn8AfvZ+7b7mfuC+2v7UPsw+w/67PrJ+qX6hPpk+kT6Ifn/+eD5w/mj+YH5YvlE+SX5CPjs+M/4q/iD+F/4Qfgk+AP34Pe+95z3fPdf90X3KfcM9vD21/a+9qX2kPZ99mj2VPZE9jj2LPYd9g72APX09er14PXW9cr1wPW99b71v/W+9bv1uvW59bn1vPXC9cn1z/XY9eT18vYB9hH2IvYy9kD2TvZd9mz2evaM9p/2sPa/9tH25/b89w33Hfcu90D3UPdh93T3iPeb96/3wvfT9+L39PgL+CP4OvhR+Gr4g/iZ+K/4xvjb+Ov4+vkK+Rn5Kfk7+U/5Yvl0+Yf5n/m4+dD55fn6+g/6JvpB+l/6efqO+qH6uPrQ+uX6/PsZ+zv7XPt7+5n7tPvL++H79vwM/CL8OvxU/G/8ivym/ML84P0A/SL9Q/1f/Xn9lf24/dz9/f4b/jb+Tf5g/nj+l/65/tL+4/7y/wb/Hv84/1P/bP+E/5//vv/d//wAGgA4AFUAdQCbAMYA7QEMAS4BWwGLAbQB3AIOAkQCdAKjAuMDMgN6A7ID5gQfBEYESAQuBBkEHwQ7BGwEswUYBaUGagdgCFwJHwmWCeYKOAp7CnMJ/glDCJIIHgfcB68HlgenB+YIKwhLCEMIMQgmCBYH8Qe5B3MHGwa2BlQF/wWoBUME2wSEBDwD9AOvA3kDSQL8AoMB8wFpAPAAiAAw/+z/wv/A/+0AIwAZ/6f+9f5U/fD9tf2B/Ur9F/zm/LD8dvxI/Df8QfxI/CX7zvth+wH6s/pj+g35vvl5+S/42viF+Dz39/eu92X3JPbs9rX2gPZR9iT19vXH9Zr1cfVK9ST1AfTg9MX0tfSy9LP0s/Sy9Ln00fUB9Tr1W/VR9Sr1DPUH9Qn0/PTi9Mn0uPSr9Kj0tvTU9Pr1HvU09ST04fR59Bbz2PPL8+b0GvRZ9Jb00vUP9U31ifXD9f72OvZ29q/26vcr93H3tvfz+Cf4WfiR+M/5C/lC+Xj5svnr+h/6VPqS+tb7GPtX+5j73Pwf/F38k/zD/O79H/1g/bH+Bv5T/pT+z/8K/0f/hv/EAAAAPgB9ALgA7QEkAWQBqAHqAiYCVwJ2An4CfAKFAqICyQLtAwsDIgM0A0YDWwNxA30DfQOBA5UDtQPUA+gD+AQOBCQEMAQwBC8ENQRCBEsETQRRBFwEagR0BHQEbgRpBG4EgASXBKcErwS+BN4FAwUdBScFJgUeBQ8FBAUHBRkFLgVCBVQFZAVuBXMFfQWUBbcF2wX+BiMGUAaBBq8G1Qb2BxwHSgd1B5EHnAebB5AHeQddB0wHSQdLB0gHPwcyByUHHwcjBzAHOwdAB0UHSgdMB0kHRgdJB1IHYQd0B4QHiQeBB3IHYQdMBzEHFAb4Bt4GxgazBqUGmAaOBowGkQaWBpgGnAajBq4GqQahBpoGjgZ8BmkGWAZKBkUGSgZWBlkGUwZOBkoGQQY1BjAGLwYgBgQF+AYGBgYF5AXcBj0G4Qc6BugGLwWgBXYFggWFBXQFWAUyBQME4QTTBMIEmQRcBCAD6gOxA3YDQAMSAukCwQKWAl0CDAGpAT0AzQBeAAX/2v/S/8D/gv8i/sP+dP4j/cX9Yv0L/MP8ffws+877aPsE+q36Z/ow+gP52fmr+XX5Ofj++NT4xvjZ+QT5Lfk++TH5F/kH+QX5D/kj+UX5bPmK+ab51Poe+mv6l/qg+qD6p/qx+rn6zfr3+yn7Vft2+477lPt++1b7Kvr9+sn6mPp++oD6h/qE+nv6dfpq+k36G/nh+bb5tPnk+jT6gPqt+qr6cPoL+bT5rfn2+j76L/nF+T74xfhT99T3U/br9q32kfaA9mL2KPXY9YT1N/T09L30lPR09FD0JfP989zzwfOk833zOvLQ8knxvfE78MTwWe/+76zvUu7p7n7uG+247U/s7Oyc7FzsI+v1693r4ewA7Dvsh+zG7NbsteyD7F7sTexF7D3sMuwc6/zr3evM68brweuv65LrcetS6znrIusI6ujqxuqm6ovqb+pN6iTp9unB6YLpO+j26Lfoeegx5+Dnk+dY5yrm/ObH5ormT+YY5eDlpOVm5Snk7OSo5FzkC+O+43njOuMA4snii+JB4fLhr+F+4VDhGODX4JXgTt/635ffLt7G3mXeEd3D3XDdFNy33GbcGtvM23/bQNsK2tDal9py2mLaUto62ivaMto12hjZ49m52Z7Zdtku2NnYk9hl2EPYJdgH1+XXxNer15rXi9d913jXgNeM147XiteI14vXi9eK14/Xndey187X8tgY2D3YZ9ih2PHZUdmw2gHaQNp72sbbK9uf3Bbcjt0R3ZzeIN6W3wvfjOAf4MPhceIe4r7jT+Pb5HDlC+Wk5jzm5Oei6F3o6Okw6VfpnOod6sDrWevU7D3squ0l7bLuTO7i72bv4PBg8ODxSfGZ8ePyM/J/8srzOvP39PD14faU9xD3hvgc+ND5mPp2+2j8Tfzq/S39Qv1s/cL+MP6g/xT/jP/2AEwAnwD/AWYBxAIaAnUC1gM5A54EBwRxBNMFLwWPBfQGXQbGBzMHoAgJCG0IzQknCXwJ0AopCoQK4AtAC6IMAAxcDMENLw2ZDfcOVg68DyAPeg/SEDMQkxDmES8RghHtEnoTMxQFFLcVGxVJFYwWChaaFvUXAxbqFugXDhcyFyEW3RaYFmUWFRWIFPoUzxUeFbMWZRcmF8cYChfyF9UX4BfiF7AXgBeYF+cYJhhRGKUZPBn2GqgbMBtPGtMZ4BjXF/EXLBa6FwAYCxlEGgoaWhqoGxwbbBtbGyAbGRtjG80cKxx0HLQc6x0PHRwdGh0WHRwdJx0sHSodIh0MHN8cpRxxHEscJxwDG+0b6xvsG98byxvGG84bzxu/G6cbkRt/G3YbeRuBG3sbaBtbG2IbbBtrG2cbaxtwG2kbYBtkG2wbXRs8GyAbDRruGsQaphqeGpAacBpTGkYaNRoQGfIZ7RnpGdAZuxnBGcUZqBmKGY0ZahjLF/sXvxhdGSAZNBiZF+wXhBc2FtwWlxaAFnUWWhZGFksWShYrFgkWCRYjFjoWRxZUFl8WWhZLFj0WKRYCFdAVphWJFW0VThUyFRQU5xSpFGgUKxPxE7MTdRM5Ev8SxhKMElMSIhH9EeARuxGHEVMRKhEGENsQqRB7EFYQMRAJD+QPxA+lD4QPYg8+DxkO9Q7SDqoOeg5CDggN0g2lDYYNbA1EDPwMnwxHDA0L+AwADBEMEQvuC7ALbgssCuoKvArLCyULiwufCzsKmAobCfcKDAoWCfQJwQmjCZwJhwlOCQQIyAimCI4IdAhaCEMIKwgOB/MH3wfPB7gHmQd9B28Hbgd3B4UHkAeQB4cHgweOB5oHlAd2B04HKwcNBvQG4wbaBs8GvgarBpkGhQZqBk4GOgYoBhAF9QXlBecF8AXuBd0FwAWhBYkFfQV5BXsFgwWPBZoFnAWZBZwFpQWsBagFnAWNBYAFdwV3BX8FiwWXBaYFuAXJBdcF4QXoBeoF5gXjBesF+gYCBgAF/wYJBhkGIwYfBhcGGAYnBkAGXgZ5BokGkgafBrsG2AbkBuMG9AcnB14HZQcsBtYGkQZvBmEGUwZBBi4GHAYJBfYF5AXSBbwFpQWTBYwFiwWJBYQFfwV5BWoFUQU1BRgE+ATUBLIElQR8BGMETAQ5BCQECwPuA9QDvQOiA4MDYQNBAyIDBQLqAtICuQKdAoACYwJCAh8B/AHbAbkBlwF1AVEBKgEAANMApQB6AFIALAAG/9//uP+V/3L/TP8k/v7+2v6z/on+Yf48/hX96/2//ZT9Z/07/RP87vzM/Kz8jvxv/Er8IPv2+9L7tfud+4X7a/tN+yz7C/rq+sj6pfqD+mD6PPoX+ff52vm7+Zv5f/ll+Uv5LvkQ+PH4zfip+In4bPhN+Cj4BPfj98P3oveD92b3Sfcr9xD29/bg9sn2svae9or2dvZm9ln2TPY89iz2HfYQ9gX1/fX09er14fXe9eL15fXj9d/13PXa9dr13PXh9ef17fX29gP2EfYf9i/2QPZO9ln2ZfZz9oP2kvak9rf2x/bX9ur3AfcW9yX3M/dF91j3a/d894/3pPe498r32ffl9/T4Cfgi+Dn4S/hc+HT4j/io+L340Pjj+PP5AvkQ+R/5Lfk/+VP5Zvl3+Yn5oPm4+c/55Pn5+g36Ivo6+lP6aPp5+o76p/q++tL65/sC+x/7O/tY+3f7k/un+7n7z/vp+/78Efwp/EX8Yvx+/J78v/ze/Pz9Hf0+/V39ef2Z/b394P4A/h7+Of5R/mj+g/6i/rz+zv7b/uz/A/8f/zv/VP9s/4b/pv/H/+UAAQAfAEAAYwCHAK0A0wD2ARkBQAFqAZMBvQHtAiICWQKaAuYDNANxA6AD0wQIBCMEEgPzA/gELAR1BLkFBwWEBkwHVQhwCVUJ2AoIChkKLAokCdgJSQirCDMH6we+B6AHnwfOCCIIbwiRCIYIaghRCD0IJwgHB9MHhwcsBtMGeQYNBZAFHwTQBJIESwQAA8oDoQNaAtcCLgGMAQwAsABsADQADgAQAEgAkQCYACb/Xf6U/gr9vf2L/Vr9JPzv/Lz8jvxr/F38Yfxf/DH71Ptq+xT6zfp8+ib53/mq+W35GvjB+HL4KPfX94X3P/cF9s32lPZh9jf2DvXj9bf1jfVm9UL1IPUA9OX00/TO9ND01PTX9OD0/PU19Xv1qPWf9XH1R/U59Tr1MPUY9Pn03PTL9Mz03/T59Rb1OvVj9Xn1YPUV9LX0YfQt9CD0N/Ro9KL03vUZ9VH1g/W19e72LvZw9rL28vcz93P3svfw+Cz4Zfid+NT5C/k/+XX5r/nr+if6Z/qp+uz7Lftu+6777fwr/Gj8ovzT/P79L/1y/cL+Ef5W/pL+xv73/yz/af+p/+kAKQBnAKEA1QEKAUoBkQHWAhQCRgJiAmgCYwJmAnoCmgK+AuAC+QMJAxYDLQNLA2IDagNxA4kDsAPUA+kD+AQOBCkEOAQzBCQEHgQlBDAEOQRGBFgEagR3BH4EgwSHBI4EnQSzBMUE0wTnBQgFKQU5BTUFJwUVBQME+AT9BQ4FIAUuBTgFPwVDBUsFZgWYBdMGBQYtBlIGfAamBsMGywbHBskG2AbqBvQG+QcCBw8HFQcTBxMHHQcsBzoHRQdPB1UHXAdlB24HcgdzB3UHeQd6B3UHcAduB24HbgdvB28HZwdXB0UHNQclBxEG/QbpBtQGvgatBqUGogakBqkGrQatBqsGqwauBqgGoQabBpUGigZ5BmcGWAZNBksGVAZhBmMGWAZPBk0GTAZKBkoGRwYzBhQGCAYSBgkF3AXIBhUGowbzBrUGHAWbBWYFYgVnBWYFUgUfBOEEvAS5BLUEkQRUBBoD6wO8A4IDQQMDAs4CpQKBAk0B+wGSASQAuQBTAAD/0f+6/5X/Rv7e/nz+Kv3W/XH9CPyw/G78M/vr+5P7Nfre+pX6VPoW+dr5oPlp+Tn5Dvjl+L/4pvip+Mb46fj3+O342fjN+Mr40fjm+Qr5MflQ+W75n/nn+i/6Xvp0+oL6j/qa+qv60fsM+0P7ZPt3+4j7ifti+xb6yPqZ+o76mvqq+rH6qPqX+o/6kvqP+nH6Ovn7+dD50/oP+nb64fsh+xL6r/om+cn52Po6+of6Zvnh+UP4xfhk+AD3i/cO9qD2UvYp9hP18/W69W31GvTS9Jr0cfRK9Bvz5fOz84rzaPNI8yLy4PJv8dbxMPCZ8B3vwO+A70nvAu6k7kDt6O2X7UPs7+yp7HDsPuwT6/zsBewt7GnspezI7Mbsp+yC7GXsVexO7ErsQewr7A7r+Ovx6/Dr5evK66frhetr61frQuso6wrq7OrT6rnql+pq6jjqA+nK6YjpQOj56Lnofeg75/Dno+de5yXm8ua85oXmTuYX5dzlneVf5Sjk8eSx5GDkCuO8437jSOMS4tfikuJG4fvhuuGE4VLhIODt4LPgaeAM36ffQ97i3oTeLt3e3YrdLNzS3IbcPdvt25zbW9sj2ufardqL2oDactpZ2kzaWNpe2j/aBdnX2bfZh9k32ODYoNh42FrYPdgf1/7X3dfC17DXn9eM14PXiNeS15TXkdeS15bXldeT15zXr9fI1+TYBtgu2FrYkNjc2UHZsNoS2lXaetqY2szbI9uP2/3cbtzq3XHd9d5z3vjfjeAt4M/hb+IR4rHjS+Pd5G3k/uWT5jPm4uee6FDo1ekf6UrpjeoE6pvrLuuv7Crsre047cnuXu7174vwH/Cw8TDxmfH48l/ywPL38wTzL/PL9N32EfcE95n3+fhf+On5m/pr+078JPzE/Rv9SP1//dX+QP6x/yj/ogARAHEAygElAXoByAIbAnwC5gNLA68EGQSGBO0FTgWyBhgGfgboB1gHxAgoCIgI7AlSCbAKCQpjCrwLEgtqC8sMMgyWDPsNYg3JDigOiA7uD1UPthAWEH4Q5RFAEZQR9hJwEwATpRRTFOMVOBVtFb4WQRbEFwMW9hbNFsEW3Rb9Fv4W5hbVFr4WaBXCFRsU4hUzFd8WtxebGE4YkRiAGH4Yqhi+GIkYShhPGH0YkximGQgZyRqWGyIbUxsRGk4ZPhhAF4QXBhbyF5sY8RpEGvEbCRsVG1gbnRuvG6kbvRvyHCwcXByDHKoc2R0OHTQdNR0dHRAdHh0vHS4dHR0EHOIctByEHFscMBwCG+Eb1xvUG8QbrxuqG7cbxBvFG70bsBufG5UbmhulG58biRt+G4obmBuUG4cbhhuLG4Ybext7G4QbgBtuG1wbTRswGwga6xreGsoapRqGGnYaYRo5GhgaEBoJGfEZ3BndGdoZvBmmGbIZlBj1GB4X1xhoGSgZSRjGGC8X0ReCFyIW1ha7Fq4WjBZsFmMWWBYyFggWBRYnFk8WZxZzFnUWbhZmFmAWThYoFfYVyxWpFYYVZBVJFS4VARTBFHkUNBPyE7ETdRM+EwsS2RKlEm4SNxIJEeURvhGMEVoRMhESEO0QwBCUEGwQRxAmEAoP7g/MD6QPfA9WDy4PBw7lDsIOlQ5aDhwN5w2/DaINhw1eDRkMuwxbDBgMAgwRDCoMLgwPC9oLnwteCxYK3QriCy8LiQuZCzwKpQotCgMKEAobCgwJ9wnwCeYJugllCRAI4AjPCL4ImQhsCEsINQggCAYH7wfcB8gHqQeHB28HcQeIB6MHrgejB5AHiAeNB44Hgwd0B2sHXgc/BxIG7AbaBtAGwAasBp0GjwZ6BmMGUwZDBicGAwXqBeQF5wXlBdsFzAW2BZ8FkAWPBZYFmwWcBZoFlAWRBZYFowWuBa8FpQWXBYoFgQWABYYFkQWgBbQFygXcBeMF4wXhBd8F3QXhBe0F/AYCBgMGCgYcBi0GMgYsBigGLAY0Bj8GUAZmBncGgAaPBqsGyQbVBs0GzAbjBwQHEAb3BsYGkwZwBlwGUgZGBjMGGwYFBfkF9AXsBdsFxgW0BagFngWTBYgFgAV4BWkFUgU5BSEFBgTlBMQEqgSUBHwEZARPBDoEIQQHA/ID3wPFA6MDgANfAz0DGQL4AtwCwQKnAosCbwJQAi8CEAHxAdABrQGJAWYBQQEZAO4AwgCVAGoAQgAZ/+7/w/+b/3f/Uv8s/wj+4/68/pT+bv5J/iL99/3M/aP9ev1S/S39Dfzu/ND8svyT/G38Q/wZ+/X71/u8+6L7hvtn+0f7KPsK+un6xfqh+n36V/ox+hH59PnX+bn5nvmG+Wz5Tvku+Q347fjO+LH4lPhz+E/4LvgP9/D3z/et9433b/dS9zj3IfcL9vP22/bH9rP2oPaO9n/2cPZf9k72PvYx9ib2HvYW9g72BvYD9gb2CPYF9gD1/PX79fv1/fYA9gT2CvYU9iL2L/Y79kn2WvZo9nP2f/aP9qD2sPbA9tH24fbx9wX3Hfcy90D3TPde93L3hfeX96r3wPfV9+X37/f4+AX4G/g3+E74XPhq+ID4m/i0+Mf42Pjo+Pj5B/kV+SP5MflC+Vb5avl8+Y35ovm4+c/55Pn4+gz6Ifo4+k36Xvpu+oP6nfq0+sf63fr4+xH7Jfs8+1r7dfuH+5f7r/vL++D77/wC/Br8M/xN/G/8lPy1/NL89P0c/UH9Xv15/Zn9u/3d/gH+J/5I/mH+df6L/qP+uf7L/t/+9v8P/yr/Q/9a/3L/kP+v/8v/5QAFACsAUABwAJEAtwDeAQEBIgFGAXIBoAHPAgQCRAKTAucDLgNiA5EDxwPzA/UD0QO7A+wEXATWBTQFkgYqBxsITAl2CksKqAqgCmMKCQmOCPQIXQf1B8gHuQeqB50HrAfrCEkInQi+CKcIdghMCDYILAgdB/UHsQdeBwwGtgZLBdAFZQUaBNwEjQQ1A/IDwwN7AvkCTQGpASwA1wCZAGMAPAA/AHgAvgDEAFP/hv6z/hr9yP2a/W79OP0A/M78pfyC/G38aPxe/C/72ft8+zH66/qW+j75/vnR+Zn5R/jv+KD4Uvf796L3Wfcf9uf2q/Z29k32J/X/9dT1rPWI9Wb1RfUn9Q70/PTy9PP0/fUI9RX1MvVr9bT15vXj9bn1kvWA9Xf1YvVA9Rj09/Tm9O71CfUl9Tj1UPV39Z71qvWR9Vz1HPTc9Kr0kfSW9Lb06PUh9Vb1hfWz9er2KvZu9rb2+/c69273offd+B74WviM+Lv48fkv+W/5qvnl+iT6afqt+u37K/ts+6376Pwg/Fz8mvzR/QH9Nf11/bv9/f44/m7+n/7M/v7/PP+B/8YACABHAIIAuADvAS4BcQGyAeoCFQIxAj4CRgJQAmICegKXArkC0wLgAuoDAgMpA00DXQNlA3oDoAPGA9wD6AP7BBgEKwQmBBMECAQOBB0ELwRFBF8EdgSKBKEEugTOBNkE4wTuBPYE9QT2BQEFDwURBQME8ATgBNsE5gUFBS4FUQVpBXoFhQWMBZgFuAXrBh4GQgZcBngGnAa9BsoGvQahBo0GjAaVBpwGpAa7Bt4G/wcWBygHPQdVB20HhAeYB6YHrgewB64HpgebB5MHjweHB3sHcAdoB2EHWAdRB0wHQwc1ByYHGQcMBv0G8AbmBtoGzAbBBr4GwQbGBsoGyQbCBrgGsAatBqMGngabBpYGigZ3BmUGWgZVBlUGXgZsBm8GYgZVBlIGVwZcBl4GVwZABiEGEAYQBgcF6QXXBfoGOwZUBiEFxwV+BVUFQgVABUAFJgTgBJMEdwSPBKQEiARHBAwD5gPEA5QDUwMJAsUCkQJmAjAB3gF2AQgAnAA3/+H/pP95/0X+9v6V/jn96P2T/S78wfxf/Bb73fui+1z7DfrC+nz6OPnz+a35afkv+QX46vjR+LD4jPh7+If4oPiv+Kz4pPif+KD4p/i9+OH5B/kn+Uj5d/m0+e/6IPpH+mT6dfqE+qv6+ftT+4z7lPuL+4z7jftp+yH63PrD+tL66vru+tz6wfqy+rb6xPrE+qb6a/om+e752/oG+m/67/tC+y/6tvog+dL5/fpt+rD6e/nk+T/4xvh2+Cv3yPdJ9sH2TfYD9d31wPWR9Un09fSq9HP0RvQU89TzkPNX8yvzBPLb8qnyWvHd8Tzwk/AD75jvVO8s7wbuxe5m7gPtt+2B7UrtCezH7I7sYOw57CTsKuxP7ITssezB7Lbsn+yJ7Hnsbexk7F7sUew87CfsHOwb7BbsBOvl68Trp+uP63vrZetK6y7rFOr86tzqrup26jvqA+nK6YvpROj76Lfoeug+5/nnr+do5yvm9ebA5obmSeYM5c/lkuVX5SLk7uSw5GLkDuPD44vjWuMk4uLil+JN4gnhyuGP4VnhLOEG4NLgguAe37nfXt8F3qjeT9393ajdTtz43K7cZdwR27/bfttG2wna0Nqs2pnag9pt2nban9qy2ojaOdn42c3Zkdk22N3YpdiK2HLYU9gz2BPX8dfU17/Xrdec15LXmNeh16LXntee16DXntee16vXwtfd1/jYHNhK2IDYxNkg2ZbaE9p32rDaxNrO2vLbPNuf3AXca9zc3V3d5t5y3wbfpOBD4Nrha+ID4qLjP+PT5F3k6eWC5inm1+d/6BXoj+jo6S/pg+n36oHrCuuL7BDsou097dTuae8B76HwRvDh8WDxx/I18r/zQ/OC83HzYfO+9K/18/cc9+L4Tvie+RL5v/qL+1f8Dfyj/RL9Yf2k/fL+U/7E/z//ugAqAI8A7gFCAYUBwAIOAnkC7QNXA70ELAShBQ8FcgXSBjUGnAcLB38H6whICKMJCQlyCdQKLgqMCugLOwuQC/QMZQzSDTcNmg38DlgOsw8YD4IP5BA/EJ4RAhFlEckSPxLKE2ET9xSGFPsVShWKFeIWVha2FtUWvBaYFooWihaDFngWiRa9Ft0WlhXfFSQU4xU/FgMW9xfxGLEZABj+GQUZLxk1GPIYqxifGK4YoxixGTUaGRriGzMbCBpxGXMYShdZFtYWtBcEF/4ZixsGG9Ib7RvRG9Eb7hwVHEgcfhyfHKYcpRyoHLEczh0JHUAdSB0nHRMdJB05HS4dDxz2HOIcwByPHF0cJxvrG7kboxujG6IbmRuWG54bpxuuG7MbtBuuG6gbrxu/G8IbtRusG7QbvBu2G6sbrxu4G7EbnxuUG5cbmxuWG48bhRttG0wbMRsdGwEa2hq7GqoalBptGksaOxosGg0Z8xnvGesZ0hnFGdYZvhkqGFYX+hhkGQkZMBjKGE8YAxfCF2sXHhb4Ft4WshaDFmwWXBY7FhcWEhYwFlkWdRZ/FnsWcxZzFnsWdxZaFi0WABXVFacVehVVFTQVCRTPFIwUQxP3E7ITeRNHExYS6BK/EpISWhIeEeoRwhGcEXURTxEpEQAQ1RCrEIMQXxBBECoQDg/oD7sPkQ9qD0IPGg77Dt4OtA53DjYOAQ3cDb4Nnw11DTUM3Ax6DC4MEwwoDE8MYAxIDBIL0AuJCz0K/wrwCxkLVAtjCycKtwpPChgKEgodCiIKHQoSCfcJugliCRQI7AjlCN4IwAiUCGwIUwg9CCQICgf2B+MHxQedB4AHgwejB8IHxQeuB5YHjAeKB4EHdQd6B5AHmQd4BzcG/gbjBtgGyga3BqkGnAaKBnYGZwZYBj0GFwX4BekF4QXbBdcF1QXMBbkFqgWoBa4FrwWoBZ8FlwWTBZMFlwWeBaMFowWfBZoFlAWUBZ0FqwW6BcYFzwXUBdkF3wXmBegF5wXuBgAGEgYYBhgGHQYqBjEGKgYjBioGOQZABjsGPAZLBl4GawZ7BpYGswbCBr4GuAa9BskG0gbQBsAGoAZ5Bl0GUgZLBjgGGgYABfQF8AXsBeEF1AXHBbwFrgWcBYwFfwVzBWQFUAU9BSwFEwTzBNMEuQSjBIwEdARgBEwENgQfBA4D/wPpA8sDqQOHA2EDNwMOAuwC0AK1ApoCfwJhAkMCJgIJAegBwwGcAXcBUgEqAQEA1gCqAH8AVgAuAAH/0/+n/4H/Xf86/xb+8f7H/p7+eP5U/iz+A/3b/bb9kP1q/Uf9KP0M/O/80/y0/I/8Zfw9/Br7+/vd+8D7pPuF+2T7Rfso+wn65/rC+p76efpT+jL6Ffn4+dr5vvml+Yv5a/lJ+Sj5C/jv+NL4tPiU+HT4Vvg5+Bn39vfU97X3mPd+92f3Ufc79yH3Cfb09uD2zfa79qv2mvaG9nT2ZfZY9k32Q/Y89jT2LfYp9in2KPYj9h32G/Yb9hz2HfYf9iP2KvY19kL2TvZY9mX2dvaF9pL2n/ax9sP20fbf9u72/fcM9x73NfdK91n3Z/d59473oPex98b33Pfv9/z4BfgO+Br4LvhH+F74bfh7+I/4p/i8+Mz43Pju+P75DPkb+Sr5OflK+V35cPmC+ZL5pfm6+dD55fn5+gz6Ifo4+kz6XPps+oP6nPqx+sL62Pr0+wv7Gvss+0b7X/tv+337lfuv+8P70fvi+/f8Cvwf/D/8ZvyK/Kj8zfz6/SL9Pv1W/XP9lP21/dz+Cv44/ln+bf5+/pD+o/66/tT+7P8D/xr/NP9M/2P/ff+a/7f/0v/yABkAPQBZAHQAmQDCAOQBAAEmAVkBkQHDAfkCPAKNAtsDGQNNA4QDugPSA7oDkwOhBA8EvAVfBdYGQwblB9UI+AoMCs4LEwrfClIJkQi/CAYHkgd1B5MHtAe5B68HuAfyCFQIrgjOCKgIYAgmCBAIEAgNB/QHvQdyByEGzgZzBg4FqwVYBQoEsQRSBAQDyQN8AwECYgHIAVAA+QC1AHkAUABNAHMAoACVAC7/ff7C/jT94f2y/Yf9U/0c/Ov8vvyT/HP8ZfxX/C374/uT+1D7Cvqz+lz6Hvnv+bL5XvkJ+L74cPgV97r3cvc79wT2yfaT9mn2QvYa9fH1zfWt9Yz1bPVS9T31LPUi9Sf1OvVS9WP1ePWk9eX2F/Ye9gT15vXP9bL1hfVU9Sr1DfUB9Q/1LvVK9Vr1avWI9a/10PXh9eP10fWo9Wr1K/T/9Pb1D/U79Wf1jvW49e72LPZu9rL29fcw9133iffC+AP4O/hk+I74yvkX+WH5m/nO+gf6S/qM+sX6/vs9+337tfvl/Bz8XPya/NH9Cf1H/YX9vf3w/iL+VP6F/rv+/f9G/4z/ywAIAEIAewC0APABLAFkAZUBvgHeAfkCFQI1AlECaAKAAp4CuQLJAtQC7QMYAz8DUQNUA2EDgQOnA78DzAPdA/gEDQQPBAQEAgQRBCgEQARbBHgEkgSqBMUE5AT6BP4E/AT8BPgE5wTRBMUExgTHBMIEuwS7BMoE8AUtBXUFtwXwBiAGRAZXBl8GaQZ5BoIGggaEBpgGuQbXBuEG0wa8BrAGugbOBt8G7gcHBywHUQdrB30HjAebB6sHugfFB8oHyAfFB70HsAegB5QHiQd6B2kHXAdTB0oHQQc7BzkHNActByQHGwcOBwAG9gbwBusG5QbgBt8G3gbdBtsG1gbKBroGrgaoBqkGpQaiBpsGjAZ2BmUGYQZhBmEGZQZxBncGbwZiBl4GZQZsBmwGYgZMBjAGGgYWBiIGMwZCBkAGHQXaBZYFcAVgBUkFKwUbBRME5wSGBCcEDQQ5BGcEXgQqA/kD3APFA6EDZgMcAswCgwJGAgoBvQFbAOsAeQAN/6//ZP8o/u7+qP5W/f/9qf1S/PL8iPwe+8X7g/tN+xj63fqf+l76FvnK+X/5O/kD+OD40PjC+KL4c/hR+E/4Yfhx+HT4cvhx+HT4fviX+Lz44fkD+Sn5WfmL+br56voc+kP6V/pv+rT7LPul++L73vvH+8f7z/u7+4n7XftR+1b7TPsn+vr63frY+uX69fry+s/6kvpJ+gT51vnf+i/6r/sS+xL6qfok+ef6GvqB+rX6e/ns+U341fiF+ET38/eD9v32e/YV9dP1o/Vt9ST00PSD9Eb0EPPR84fzQfMN8uTytfJ28iTxufEx8JjwCu+Z70rvF+747tbumO477drtlu1w7VDtH+zj7Krsfuxd7ErsTuxv7J7swuzJ7LnspuyY7JDsiOyB7HfsZ+xT7ETsQOw97DHsHOwE6+rr0Ou265zrg+tq61PrPOsf6vPquOp26jjp/unG6YnpRuj/6LvofehA5//nuOd15zvnCObQ5o7mSOYG5cvllOVc5SPk6eSq5GLkFuPT45zjbOMz4uvin+JZ4hvh3+Gf4WXhO+EY4OTgkOAt39Lfg98u3s/ect4e3cvddd0j3Njcitw02+Tbp9tx2zXa+9rR2q/aitp52p/a6tsM2tTaa9oW2d3ZlNks2NHYpdiY2IfYaNhE2CHX/dfe18jXt9em153Xodep16vXqNeo16vXq9et17vX0dfp2AXYLthl2KTY8NlY2draXtrC2vfbBtsO2y3bb9vK3Cncidz23XbeA96W3y7fyOBd4Ofhb+H+4pXjLeO95EHkxeVZ5f7mpOc457boKeiY6QXpdunw6nLq8utv6/XsjO0u7c3uaO8D76nwV/D58X3x6fJm8wbzo/P38+jzt/PL9Gj1gPa/98L4Xvi/+Tr58/rD+3P7/vx+/QD9cP3F/gz+Yf7P/0z/xgA2AJ4BBAFcAZwBzwIYAoQC/wNvA9gETATHBTcFlwXwBk8GugcwB6gIEwhrCMMJJgmNCesKRgqqCw8LaAu+DCUMmw0MDW4Nyw4mDnoO0Q83D6cQCxBdEK8REhGAEfMScRL+E5IUIBShFQwVWxWeFesWPhZ1Fn4WbhZlFmEWQRX8Fb8VyxYlFnkWWhW9FRYU8BVrFkQXOBghGNAZHRkgGR4ZJBj7GJMYNhgaGBkYChguGNQZxRptGnsaDBlIGDMXAhYkFeIWMRb8GFEaDRumHJIcwRyPHFUcQxxsHMUdFR0qHRAc9BzmHN0c5x0WHUwdVB0wHR0dMB1AHSgdARzvHOUcwRyBHDsb8xulG2EbRBtQG2kbeRuCG4kbjRuPG5YbnxulG6YbrxvBG88b0RvPG9Ib2BvZG9ob4hvqG+IbzRu+G7wbwBvBG70bsxueG4MbaRtPGy4bCRrtGt0ayBqmGogadBpaGjIaDhoCGfsZ6BnfGfIZ5xluGKoYLxhXGMwY+Ri3GFgYGRflF6AXWhcsFwkW2xaqFogWcBZSFjQWKhY8Fl8WgRaUFpIWhBaAFo4WnBaUFnMWRBYLFc4VlBVkFToVEhTlFK4UZBQOE8ETiRNbEywTAhLiEsESihJAEfoRyxGvEZURcxFHERgQ7BDFEJ0QdRBUEDoQHg/1D8YPnA91D0sPIw8EDuoOww6LDlAOIA37DdcNsQ2FDUsM/AyfDFEMLgxADGwMhgxyDDYL6AuZC04LDgrsCvALEgszCzQLBAquClgKJgoeCicKJAoHCdYJmAlXCR4I+QjsCOoI3wjECKAIfghjCEkIMwghCBEH9AfKB6gHpge/B9IHyQeuB5sHlweSB4IHdweIB6wHvgecB1UHFgb3BuwG3gbLBr0GsQafBooGeAZnBksGKAYIBfQF5QXcBdsF4AXdBdAFwwXBBcUFwwW4Ba0FpgWgBZkFkwWSBZYFnwWnBakFqAWrBbcFyAXSBdEFyQXHBdUF8wYNBhQGCwYHBhUGJwYsBiUGJgYtBioGGQYPBhwGMQY3Bi0GKgY6BlEGYQZvBoQGmwanBqkGqwauBrAGtAa8Br8GrQaIBmYGVgZPBjwGHgYBBe8F5gXeBdYFzwXIBcAFtAWkBZIFgQVyBWMFUwVEBTQFHQT+BN4EwwSrBJMEfQRtBGAETgQ4BCUEFgQEA+0D0gOzA4sDXAMvAwoC6wLPArMClgJ3AlcCOAIbAfkB0gGsAYcBYQE6ARMA6wDBAJcAbwBJAB//8P/D/5v/eP9V/zH/Cf7d/rH+iv5k/j3+Ff3w/c79qv2E/WD9Qv0m/Qr87/zQ/Kv8gvxe/D/8H/v9+977wvul+4T7ZPtH+yr7Cfrn+sX6ofp7+lf6OPoa+fz53vnE+an5ifll+UX5KfkN+O/4zviu+JH4dfhX+DX4Evfz99f3v/en95P3f/do9073Nvch9w32+Pbm9tX2wvat9pv2j/aE9nj2bfZk9lz2VPZO9kv2R/ZA9jv2OvY79jv2OvY99kT2TPZV9mH2bPZ39oX2lfal9rP2wvbV9ub29PcA9w73G/cn9zb3Sfdd9233ffeR96X3t/fJ99338vgD+BD4HPgo+DX4RfhZ+G34ffiM+KD4tPjE+NL44vj2+Qf5Fvkk+TP5RPlU+WX5d/mH+Zb5p/m8+dL55/n5+gv6H/o2+kv6Xfpv+ob6n/qy+sD60vrs+wP7Evsj+zr7Uftg+277g/ua+6v7ufvN++P79PwE/B/8Q/xl/IT8qfzW/Pz9F/0u/Uv9av2H/an92P4N/j3+Y/57/ob+j/6i/r7+2f7u/wL/Hf85/1D/Z/+E/6X/xP/jAAYAJwBBAFsAfwCmAMUA4AEMAUoBiwHDAfsCPgKHAsoDBQNDA4IDrAOmA3wDagOwBFoFLQXlBm4G7geRCGMJTAogCqsKwgpcCZoItAfiB1MHIgdGB44HwwfOB70HugfqCEkIpwjFCJIIOAf0B90H4wfrB+cHygeNBzsG6QaeBksF5QV2BQ0ErgRZBBID1AOFAxECfwHuAXgBHADPAI0AXgBLAE4AUQAy/93/Wv7M/lb+Bv3R/aL9b/07/Qr82Pym/IH8cPxg/Dj79vuw+3H7LPrX+oP6QvoJ+cP5bfkd+NX4h/gq99H3jPdV9x725Paw9ob2XvY19g/17vXP9a/1kfV69Wr1XPVV9WP1hvWs9cH1y/Xl9hb2RvZZ9lD2O/Yb9eX1n/Vh9Tn1I/Ue9Sv1R/Vk9Xb1iPWi9cP15PYE9iT2PfY89hn13fWg9Xz1efWI9Zb1oPW69e32LPZp9qL22/cQ90D3c/ex9/H4IvhE+Gz4rfj9+UT5dfmf+dT6FfpT+ob6uPr1+zT7Z/uQ+737+Pw5/HX8sPzt/Sj9Xf2N/b/98v4n/mX+rf71/zb/bv+k/9sAFABOAIcAvwD0AScBVAF6AZ8BzQIBAi4CTAJkAoECnwK2AskC5wMSAzcDSANKA1MDbwOUA7IDwwPUA+sD/wQGBAYEEQQsBEsEZgSABJoErwS9BMoE1gTXBMoEvgS+BMEEtwSkBJoEowS5BNEE6QUCBR8FSQWDBckGFAZlBrYG+AcZBxsHDAb3BtwGxAa+BtEG8gcPBxsHGAcTBxsHNAdTB2kHdgeGB54HtwfHB8wHzAfJB8cHwwe7B7AHpgehB50HlweOB4YHfgdxB2MHWQdUB04HRwdCB0AHPAc3BzIHLAchBxMHCQcDBv0G9wbzBvAG5wbcBtUGzwbFBrcGrQaqBrMGrganBp8GkQZ8Bm4GbQZwBm4GbQZ2BoAGfgZzBm0GcgZ3BnMGaAZYBkIGLQYvBlwGqAbiBsoGVQW+BVsFSAVRBT4FFQT8BPAEvARLA9QDpgPIBAAEEwP/A+IDzAO1A5UDZAMgAswCdgIrAesBpQFIANUAWf/n/4b/Nv7z/rf+ev4w/dX9cv0T/Lj8Wvv0+5L7QPsA+sv6nPpt+jX57vmf+VP5Efjg+ML4tvir+Iz4W/gz+Cj4NPhA+ED4O/g5+D74Ufhy+Jr4v/jk+RD5Qfls+ZH5vfn0+iP6P/pk+sD7U/vh/DD8QPxC/FD8V/w9/A375vvP+7H7evs7+xH7A/sH+xH7FfsF+tj6lfpM+gr51Pm++eT6R/qz+t36q/pP+hv6OvqJ+rz6nvor+ZD4//iU+Ej4APei9yr2qvY49d/1mfVX9Qv0tvRh9Bbz0vOM80fzE/Ly8s3yivIi8aXxHfCU8BbvsO9j7yfu9+7S7rHue+4p7c7tiO1i7UbtIOzs7Ljsj+xy7GXsb+yS7L/s2+zb7Mbssuym7KLsoOyd7JTsg+xu7GDsWexR7ELsMewh7A7r8uvR67LrmuuK63rrZOs+6wTqv+p66j3qA+nJ6Y3pTekL6MrojehO6ArnxOeF50/nG+be5pfmT+YP5dnlpuVt5Szk6OSl5GLkHuPe46jjduM94vnisOJt4jHh9OGz4XfhS+El4Ozgm+BD3/ffsN9Z3vTek94/3fDdnd1M3P/cr9xa3A/b1tug22HbJdr12sbalNqC2rnbFts82vvahtoq2enZk9ki2MjYp9im2JzYfdhW2C/YCdfo19PXxNe116rXqdeu16/Xrtex17fXu9fA18vX3Nfw2A/YQNh/2MTZFdmE2g3akdru2x3bL9tA22bbqdwA3GDcxN003bPePt7P32Df8OB44PvhfeID4pHjJOOx5DHkqOUp5b7mWubk51rnzuhQ6NzpZunq6mnq4+td69/sc+0U7bruXe8A76vwWvD+8YfyAvKP8zvz3vQ99EH0D/Pu9C309PYj91X4MPi++VT6IPrv+4L74fxL/Nv9bf3b/ir+eP7c/0//xAAxAJsBCgFzAccCBgJPArUDLQOgBAwEfgT0BWAFugYQBm4G2QdQB8cIMQiKCOMJRQmoCgIKXQrICzgLmAvvDFIMww0vDYsN4A40DoMO1g8+D7UQHRBrELsRKBGqEikSoRMfE6YULhSuFRoVaxWnFdkWAxYVFhEWDxYgFioV/RWRFSEVABVFFaYVuRVnFREVLhXMFqAXaBgRGI8YzBjWGNcYyxh/F+4XZxcmFwwW/BctF9cYsBklGPwYaxehFpcVcxSvFK4VdBbUGKQamBwxHQkdLRzzHKwciRysHQodYR15HWIdTx1JHT4dNh1IHV8dTB0XHPsdCh0XHQMc6BznHOYcvRxvHBwbyxtwGxka6hruGwobJRs8G1MbZBtsG3MbhBuYG6YbsRu/G88b2hvgG+cb8xwBHAscDxwNHAQb+RvyG/Eb8xvzG+0b4RvOG7Ybmxt9G1sbOBscGwca7xrSGrgapBqHGlkaKxoRGgAZ6xneGe4Z9RmqGQYYbRhKGI0YyRi4GHIYKxfzF7wXhBdWFzEXCxbiFroWlhZyFlUWRxZNFmsWmRbBFssWtxahFqEWsxa+Fq8WgxZCFfkVthV9FU0VJBUAFNMUjRQyE98TpBN3E0kTHxMDEucSsxJkEhIR1hG0EZwRfhFUESgRABDdELYQiBBfEEEQJQ/+D84Pog97D1EPKA8FDuYOwg6UDmcOQQ4cDfENww2SDVoNFAzDDHwMVQxZDHYMigx2DDoL6wubC1MLEgrhCs8K6QsqC2wLdwsvCrEKRAoVChcKFwn2Cb8JjAlmCUIJGwj9CPMI9AjqCM0IqQiMCHYIZAhWCEcILggGB+MH1wfaB9cHwgerB6UHpwefB4kHeweHB6cHuAeeB2UHLgcNBv0G7gbcBs8GxQa2BqEGiwZ2BloGNwYVBfwF6wXiBeMF5gXkBdkF0QXTBdsF3AXTBcQFtgWrBaIFmwWXBZsFpQWwBbUFtQW3BcEFzgXSBckFvgXFBeoGIwZQBlMGNgYcBh4GKwYrBiEGIQYsBi0GHAYOBhMGHwYfBhoGJAZABlsGaQZyBn8GigaKBokGkAabBp0GmwahBq0GqgaQBnAGXAZPBjwGHwYDBe4F3wXTBcwFxgW/BbcFsAWnBZgFhgV1BWUFVgVHBTUFIAUFBOgEzASyBJgEgwR5BHIEZARNBDUEIQQQA/8D7APRA6sDfANQAysDCwLsAs0CrgKLAmcCRAIjAgAB2gG2AZMBcAFLASUBAQDZALEAigBmAD8AFP/o/7//mv92/1L/Kv7+/tH+qP6C/ln+L/4J/eb9wv2d/Xr9XP1B/SX9B/zm/L/8mPx4/F38Pvwa+/r74PvF+6X7hPtn+0v7K/sK+un6xvqg+nn6WPo5+hn5+/ng+cb5p/mF+WX5SPkq+Qj45fjG+Kr4jPhr+Ej4J/gN9/b33/fJ97X3o/eN93T3XfdI9zT3HvcL9vr25vbT9sP2uvay9qb2mfaP9ob2ffZ09m72Z/Zf9lv2W/Zc9lr2WPZc9mX2bfZ09n32ifaX9qb2tfbF9tT25Pb39wj3Ffcj9zH3PfdH91H3Yfdy94L3k/en97r3zPfe9/L4BvgV+CH4MfhE+FT4Yvhx+H/4jfid+LD4wfjN+Nr47PkC+RT5Ifku+T35Tflc+Wz5e/mJ+Zj5qvm/+dT56fn8+g76Ifo2+kv6Xfpv+ob6nvqy+r/6zvrj+vn7C/sf+zX7SvtZ+2j7fPuQ+5/7rvvD+9v77Pv7/BH8L/xM/Gn8i/yy/NP87P0E/R/9Of1S/XD9mf3N/gr+SP50/oL+f/6G/qL+v/7R/uP/AP8f/zb/S/9q/4//sP/M/+sACwAoAEQAZwCLAKgAxwD6AT8BhQHBAf4CQwKHAsUDCANUA5YDqAODA1UDYwPYBKAFewY2BtEHawgaCNIJewn4CicJ7QlPCH8HvAczBvUG/wc9B4sHvwfJB7gHsQfYCC8IiAiiCGcIBwfAB6YHqQe3B8oHyweiB1MHAAa+BnIF/wVvBO0EkARQBBsD5AOXAykCnwIUAaEBRQD1AK8AdgBMACoABP/T/47/Nf7R/nP+KP3v/bv9h/1V/SP87vy7/Jr8i/x7/FH8EfvQ+5b7VPsD+rH6bfor+d35h/k6+PP4pPhI9/L3rPdx9zj2//bP9qb2f/ZY9jT2E/Xx9c/1tPWj9Zf1i/WH9Z710PYC9hr2HPYn9kz2ePaR9pH2f/ZW9hD1vfV59VL1P/U79Ub1XvV39Yr1nfW39dP16vYA9h72RfZo9nf2afZH9ij2FvYG9ef1wvW59d/2H/Ze9o72ufbm9x33Yfew9/X4I/hC+Gj4pPjm+Rz5Qvlp+aH55Poi+lP6g/q8+vn7KPtK+237oPve/Bv8VfyP/Mj8/v0w/V/9kP3H/gr+Vf6e/tv/Dv8//3L/qP/hABoAUwCMAMYA+gEjAUgBeQG3AfECGQI2AlYCeQKZArgC3QMJAy4DRANNA1kDdAOaA70D1QPoA/sECgQPBBAEHgQ8BF0EdQSIBJwEqASpBKIEmQSJBHUEawR3BI8EoASpBLUEzgT0BSYFXAWPBbYF1AXvBhEGQAaHBt4HLAdWB1oHSAcvBxYHBwcMByYHRAdaB2UHaAdtB3kHjQejB68HsQe1B8MH1QfgB+EH1wfJB7sHrgeeB44Hgwd/B38Hfgd8B30HfQd5B3IHcAdxB24HZgddB1YHTQdDBzwHNQcrBx8HFQcMBwEG9wbxBusG3gbOBsYGxAa+BrUGsAayBrcGrwamBqIGmgaKBnwGegZ/Bn8GfQaEBo4GkAaGBnwGegZ4BnIGaQZeBlAGQgZNBo0G9wdCBx4GhQXOBWAFTAVQBTAE+wThBN4EuQRPA8sDeANxA5sDwQPNA78DowOCA2IDOwMEAroCZwIfAeIBoAFCAMcARP/U/3v/Mf7u/rL+dv4r/cb9UPzh/IT8Mfve+4b7LfrY+o36U/op+fz5vvlw+ST45/i6+J34j/iE+G34Rvgi+BL4EfgQ+Ab3+vf4+AX4JPhQ+H74pfjM+Pv5LPlR+Wz5lPnO+gf6Mvpo+tL7b/wM/Hz8vPzk/PT82vyW/E38HPv2+7v7b/s4+yn7Mvs2+y77Hvr8+rz6afoh+fD5xfmb+ZD5xvou+ov6p/qE+ln6X/qd+ub69fqe+fP5MfiX+Db37/ea9yr2sPY/9eD1kPVG9Pj0oPRE8+vzm/NW8yPzC/L98tHya/HV8THwnfAj78bvg+9O7xju4u627pbube4p7dXtiu1Y7TbtFOzq7L7sl+x87HXsieyy7Nrs7Ozj7M3su+yz7LPst+y67LTsouyL7HnsbOxg7FLsR+w67CXsBevh68Prsuup65/rhetS6wzqw+qE6kzqFenZ6ZrpXOke6OPoqOhn6CDn2eeb52TnKubm5p7mW+Yh5ezltuV65Tfk8OSp5GPkHuPe46bjduNE4wnix+KF4kbiB+HH4Y3hX+Ez4Pngr+Bn4Cbf39+A3xTes95i3hTdw91z3Snc29yK3ELcCdvP24nbSNsT2t3ao9qN2sDbF9s22vbai9o52ffZl9ke2MbYsNi42LLYlNht2ETYG9f71+rX4NfS18XXv9e+17zXute918XXy9fS19zX6tf/2CTYXdih2OnZQNm42kbaw9sO2y7bQdtf25Tb4Nw93KPdDt1/3fnefN8E343gE+CU4RHhjOIL4pTjKeO+5D/kq+UW5ZjmLOa35zHnqOgv6MPpWOnj6mPq3OtS69HsYu0D7avuVu8D77TwYvD/8YbyC/Ko81jz9PRS9Gn0TvQk9Cf0oPWj9uD36/is+WH6NPr0+2j7rPwO/K39Xf3s/lT+qv8A/2D/yQA2AKABDwGEAfMCTQKdAvsDbQPhBE4EuAUjBYUF3QY0BpEG9wdjB9MIPAibCPoJXgnAChkKdgrmC10LwwwZDHIM1w04DY4N4A4zDoAOzw8yD6QQChBaELIRLhHBEkkSvRMuE6gUKhSpFRcVZhWUFa4VuRW1FaoVqRW7FcsVrxVWFOAUkBSVFNYVDBUXFSkViRYxFt0XXhe/GBAYSBhsGJEYoxhhF78XCBaFFjMV+hYEFnkXFxdcFxUWehW4FMgTyRMsE2QUjhZ6GMoa9xxwHQAc9xzJHK4cpxzDHQkdWR2IHZwdsB3DHb4dqB2THXMdKhzQHKEcrxzHHMgcxRzTHNccsxxzHDcb/huvG1AbABrRGroasBq+GuMbCxskGzYbVBt9G6Ebsxu9G8ob3BvrG/ocDxwmHDIcLhwiHBwcHRwfHCAcIBwfHBscERwDG+4b0ButG4kbZhtDGyEbARriGsgasBqTGmcaNBoIGegZyhm1Gb0Z0xm4GT8YnBg+GFoYsBjVGKMYSRgBF9QXsBeGF1sXNBcOFuMWtxaSFnwWcRZzFowWvxb2Fw8W/BbYFsMWyRbWFtIWrxZwFiUV3hWgFWkVOhUTFOkUqhRXFAYTxxOUE2ETMxMQEvISwxJ7EioR4xGvEYsRaxFIESURBxDsEMgQmRBsEEwQMBAKD9gPqQ+BD1sPNA8PDu0OyQ6lDoQOYw48DgwN2A2iDWcNJAzhDKYMfQxuDHEMdAxgDC8L7AumC2ALGwrgCsMK2AsgC3kLoQtnCtoKSQn4CfIKAQn2Cc4JpwmNCXIJSgkgCQgJAwj9COcIygiyCKEIkAh/CHAIWwg9CB4ICgf6B+EHxAezB7UHtweoB4wHdQdyB4EHjweKB2wHQQcbBwIG7wbfBtQGzAbCBrEGngaJBm8GSgYiBgAF7QXnBeoF6wXmBdsF1gXbBecF8AXsBdoFwgWwBakFqgWtBbAFtAW6BbwFuAW0BbYFuQW4BbEFsAXGBfwGQwZ2BnMGSQYhBhkGIQYeBhQGGAYrBjgGMQYjBhwGFQYMBg4GKgZUBnAGdwZ6BoMGhgZ6Bm4GdAaEBocGfwZ+Bo0GmQaQBnkGYgZOBjcGHgYFBfAF3QXRBcoFwgW1BakFpQWjBZgFhgVzBWUFVwVFBTIFHwUKBPIE1wS7BJ8EiwSCBH0EcARXBDsEIgQOA/0D7APUA7EDhwNgAz0DHQL8At0CvQKYAnICTQIrAgcB4AG7AZkBeAFVATEBDwDrAMUAnwB9AFkAMQAG/97/t/+T/27/SP8e/vT+zP6l/nr+TP4g/fn91P2w/ZD9df1a/T39Hvz5/ND8qfyN/Hb8Wfw1/BX7/Pvi+8P7ovuG+2r7Svso+wb65fq/+pj6dvpW+jb6F/n8+eL5xPmj+YP5ZflE+SL5APjh+ML4ovh/+F34Qfgq+BX3/ffl99D3vfep95P3fvdq91T3Pvcr9xr3CPb39uv25Pbc9tH2xfa79rH2pPaZ9pH2ivaC9n72f/Z/9nz2evZ/9on2j/aT9pr2p/a39sb21fbl9vX3B/cY9yj3N/dF91T3YPdo93H3gPeQ95/3r/fB99T35ff3+Av4HPgp+Db4Sfhe+HD4ffiI+JP4n/it+L74zfjY+OX49/kN+R/5K/k3+Ub5Vflj+XD5ffmL+Zv5rvnD+df57PoA+hP6Jfo3+kv6Xvpv+oL6mPqt+r76zfrf+vP7B/sc+zL7RftV+2X7efuN+537q/u++9P74/vy/Ab8Hvw2/FD8cPyS/K/8xfza/O39Av0g/Uf9cv2e/db+Hv5c/nL+a/5t/on+qP66/sr+5/8H/x3/MP9P/3b/lf+t/8n/7AANAC0ATgBwAJAAtwDwATYBegG7AgMCUAKWAtkDKgOEA74DtgN9A1YDfwQHBMkFlAZNBvoHsghzCSUJqQnhCbgJKAhZB5MHDgbTBs8G7wctB3QHqAe4B64HqAfGCAsIUwhmCDEH1weOB2wHZQdyB48HogeGBzsG6wawBmsF9gVcBNQEfgRMBCAD6AOcAzMCsQIyAcgBcwElANoAlgBaAB3/3/+h/2L/Hf7Q/oX+Rf4M/dX9n/1r/Tj9AvzR/LT8qPyX/G38MPv1+737ffsx+uP6nfpW+gT5rvlf+Rf4yPhz+CH33Pee92T3L/cC9tr2tPaP9mv2Q/YY9fH12PXO9cr1xPXF9d/2E/ZH9l72XfZi9n32ofa39rf2ovZ09i313/Wh9Xv1ZfVe9Wj1fvWQ9Zj1ovW19cz13/Xs9fz2HfZS9or2sfa69rL2pvaI9kv1+/XK9dX2EPZS9oT2p/bK9v/3Tfeq9/r4LfhO+HP4ovjR+Pf5G/lL+Yr5zvoM+j36bPqi+tr7CPso+0j7dPuu++v8I/xX/Iz8wPzy/SD9Tv2E/cf+E/5b/pn+0P8C/zL/Zf+b/9UADwBLAIgAvQDkAQUBMgFvAa0B3QIBAiYCTwJ3Ap4CxwLzAxkDNgNJA1wDdwOcA8MD4gP5BAoEFAQTBAwEDwQiBDgERwRTBGEEawRtBGcEYgReBFsEYQR4BJsEvwTdBPUFCQUhBUoFiAXNBgUGJwY3BkEGVAaABsUHCQcyBz0HOwc4BzgHPwdRB2sHggeOB5QHmAeaB5oHmgeZB5QHjAeJB5QHpwe5B78HugeuB6MHmweVB44HiQeGB4EHfAd7B4AHhgeIB4kHjQeSB44HhAd3B2sHWwdKBzwHLwchBxUHDQcEBvcG6wbkBt8G1AbFBr8GwQa+BrcGswa3BrQGrAalBqYGpAaXBokGhQaMBpIGkwaXBp4GnwaWBokGfgZ1BmwGYwZZBk8GSAZWBpAG5wccBu4GYQXIBXIFYQVWBSYE6ATNBNIEwwR1A/gDhANMA1YDfQOTA4MDWAMsAxAC+ALUAp4CXwImAfEBrAFEAMAAPv/X/4z/S/8J/sn+iv49/dP9UPzL/Fr8BvvH+4v7P/rc+nL6HPnl+br5g/k6+PL4uviP+HD4W/hQ+Ef4Nfgc+AT38Pfe98v3v/fB99X3/fgx+GX4kfi7+Ov5F/k1+Ur5b/mv+fT6Lvpw+t77f/wv/MT9Lf1j/VP8+vyD/Cr8Afvh+6X7Xvs6+0L7UvtI+yr7B/rU+oH6H/nX+bT5l/ll+Tf5RPmi+iT6g/qZ+oP6g/rB+x77Rvrw+iP5M/h6+BH3zfd79wz2lPYn9cn1dvUp9Nv0hPQm88nzePM88x3zFvMG8sHyMvF38MPwOu/d757vcO9D7w/u2O6t7o7uau4u7d/tku1Y7S/tDezr7MbsoOyH7IjspezQ7O7s8uzi7NDsx+zG7Mvs0+zZ7NTsweyo7JLsgex17GrsYOxQ7DbsFev069zrzevG67jrletX6wnqw+qN6lzqJ+nt6bDpdOk56QDoyOiI6D/n9+e4533nO+bx5qfmaOYu5fTluOV75Tzk+uSy5GbkHOPZ46LjdeNK4xji3OKb4lniGeHc4aXhduFI4RLg1OCW4FfgCN+i3zXe1t6I3jrd6N2c3VbdDdy+3HbcOtv6267bZtss2vXautqg2sXbCNsb2uTaktpT2hHZpdkk2NDYwtjP2MvYr9iK2GPYO9gd2A/YCNf81+vX4dfc19bXz9fO19PX2tfj1/HYBNgf2ErYh9jN2RfZd9n52oja9dso2zfbSNtz27ncE9x63OXdUd293i7ep98n36vgLuCq4SDhk+IL4pXjM+PT5F3kyOUt5armPebO50znwOg66MHpTunb6l7q1utK68rsXu0B7aruVe8H78DwcfEI8YfyDPKv82Hz9PRJ9G70dvRp9GH0pfVr9o73rPiS+V76JPrD+x37XfvK/HX9NP3g/nL+5f88/4v/7gBeAMYBJAGPAgkCewLZAzQDnwQRBH8E5AVFBaIF+gZUBrAHDQdrB84INgicCQEJaAnNCikKhwr2C3EL4Qw8DJAM6A0+DZAN4Q42DoYO1A8sD5AP7xBFEKcRJxG4Ej8StBMjE5oUFBSIFOoVLxVVFWYVbRVsFWMVWRVYFWIVaBVOFQQUoRRgFGYUpRT0FU8VyhZXFssXFhdXF6IX7RgyGIAYwRipGBQXQRaFFe4VaBUTFR4VaRWGFTYUlhPXEwgSRRHmEkwTpxXaGHkayBwbHGMcNhwvHGMcjRybHLYc+x1VHagd7B4YHh8eBR3SHXwdAxySHGocjRy/HNIc0BzOHMMcpByGHH4cgBxlHB8buxtNGuEajRprGnsanhq3Gs0a9BstG2MbgxuVG60bzxvvHAccHhw3HEYcRhw/HD8cQxxDHD4cPRw/HD8cOBwsHBcb9BvKG6QbfxtVGyobCBrsGs4aqxqJGmIaMBn6GcwZqRmOGYgZmxmeGVIYuxg+GDsYmRjeGL0YWxgSF/wX8xfMF44XVBcmFvwW1Ba3FqwWrha2FssW8hcdFzQXLBcSFvoW7xbtFuUWyRaUFk4WCBXHFYsVUxUjFPUUvRR5FDIT8BOxE3QTPhMTEu4SwhKIEkMR+BGzEX0RVhE3ERoRAhDuENEQpxB7EFsQPRATD94PrA+ED2MPRA8mDwoO7A7MDqkOgg5TDh8N7A21DXgNNwz8DMkMnAx7DGgMXgxMDCoL+gu/C3kLLgrtCsgKyArqCx4LPgsjCsMKRgnsCdQJ5wn0CeMJwQmiCYYJZQk/CSIJFAkJCPgI4wjSCL4IpgiPCH4IbghaCEMILwgWB/QH1QfIB8oHxgexB5EHcQdaB1MHYAd0B3IHTwcfBvsG6gbgBtYGzQbDBrYGpQaVBoEGYgY2BgwF9AXxBfgF/AX4Be8F5QXiBecF8gX0BeUFygW2BbQFvgXEBcMFwAW+BbwFtQWtBaUFoAWdBZ0FpAW7BeoGKAZUBlcGNgYXBhAGFAYQBgkGDwYlBjcGPAY2BioGGAYIBg8GNQZfBnIGbwZxBoAGiQZ7BmkGaQZ3BnoGbQZnBnQGiAaNBn8GZwZPBjgGIgYMBfYF4gXVBc4FwgWuBZwFlwWWBY0FegVpBV4FUgVCBTEFIgURBPkE3QTBBKgElASIBH8EcARYBDsEHwQGA+4D2APAA6MDgANdAzwDGwL7At4CwAKeAnkCVwI2AhIB6AG/AZwBewFYATUBFADzANAArQCMAGoARAAb//P/zP+m/4H/XP81/w7+5/7A/pT+ZP41/gn94v2//aL9if1v/VL9Mf0L/OH8vPyh/Iz8cvxQ/DH8F/v9+977vvuj+4n7aPtE+yH7APrd+rj6lvp3+lf6N/oZ+f754PnA+Z/5f/lf+T75Hvj/+N74u/ia+H74ZfhP+Dj4HfgC9+r31ffB9673m/eH93H3W/dJ9zn3Kfca9w/3CfcB9vX26/bj9tj2yfa79rP2rfal9qD2ofai9qD2oPam9q72sva09rv2yvba9un29vcG9xj3Kvc790r3WPdm93T3gPeH95L3ovez98L30Pfh9/T4BvgX+Cj4N/hD+FD4Yfhz+IP4j/ib+Kb4sPi9+Mz42vjl+PD5AfkU+ST5Mfk++U75Xvlr+Xf5hPmR+aL5tfnJ+dv57foB+hb6J/o4+kv6YPpw+n/6kPqm+rz6zvrf+vD7A/sX+yz7PvtN+137cPuF+5b7pvu1+8L7z/vd+/D8BPwb/Df8V/x2/JH8pvyz/Ln8y/z9/Uj9if2s/cr9/f43/lP+Uv5Z/nf+mf6r/rv+2P75/w7/H/89/2H/ff+S/6//1f/5ABgAOABaAH8ArgDrAS8BcQG6AhECaQK0Av8DXQO8A+cDxgOJA3YDtQQ6BOYFnwZYBxAH0QibCVYJ2An1CZUIzAffByMGxAasBrUG0gcNB1kHlQesB6cHowe2B+IIFAgmCAAHtAdqBzoHJQcpB0AHUAczBusGogZxBj0F3QVbBOcEmwRjBCcD4AOOAyoCuAJKAe8BogFSAQAAtQBxACz/5f+h/2D/Hv7Z/pr+Y/4s/fL9uf2F/VL9G/zo/Mn8vPys/If8Uvwb++T7pftb+xH6zPqD+i350vl++TP46vih+Fr4Gffg9673gfdW9yn2/fbW9q72ffZE9hT1+/X69gX2DPYV9iz2VPZ59or2i/aQ9qb2v/bL9sL2pPZw9jH19/XN9a/1lvWK9ZP1pvWx9az1pPWp9bv10vXm9fj2FPZJ9o/2zfbt9vX29Pbi9qn2UfYE9e/2E/ZT9pD2ufbT9vb3N/eP9+P4HvhH+G/4mfi/+Ob5FflQ+Y/5y/oC+jX6ZPqV+sn6+vsj+0j7c/ur++j8IvxU/IT8tfzl/RH9Pf1y/bL9+f4+/n3+t/7t/x7/Tf+B/7n/8gAqAGEAkgC2ANgBBQFAAXwBrAHVAgACLgJaAoMCqwLTAvgDFgMuA0MDXQOCA68D1gPyBAQEDgQLA/sD7wPuA/UD+gQABAsEGwQpBDkETwRsBIcEnQSxBMwE7AUMBRsFFQUGBQwFNwV/BcsGDAY6BlkGcwaZBs0HAQciBzAHOgdHB1QHYQdxB4EHjAeQB5YHmwecB5MHhQd4B2wHYgdfB2cHeQeMB5kHnQeaB5cHmQedB6IHpAehB5gHjQeJB44HlAeXB5kHngehB5sHjAd8B24HXQdKBzcHJQcTBwUG/gb4Bu4G4wbeBtwG0wbIBsQGxQbDBrkGtAa1BrcGswavBq8GrQahBpQGkwacBqUGpQajBqQGpgagBpMGggZ0BmkGXAZOBkIGPQZKBmwGlAadBmoGBwWrBX4FdgVlBTQE9gTNBMIEtQSCBBsDngNDAy0DRgNXAzwDBgLaAsgCwAKsAooCYQI3AgUBuAFIAMMASf/u/6r/Z/8c/tT+lP5Q/fD9a/zQ/D/71/uf+3/7Tvry+nn6Cfm5+YD5RvkC+MH4jfhl+EL4KPge+CL4IvgT9/T30/e496j3o/eo97r33/gU+E/4hPiz+OH5B/ke+TH5V/mZ+eX6J/ps+tn7fPw7/Or9Yf2B/T38s/wq++T73PvT+6P7ZPtG+0r7R/sn+vf6yfqO+jb51vmT+Xb5X/k1+Qn5Dvlf+eL6V/qP+pX6ovrf+zH7QPrM+ej48/hE9+j3rfde9u/2dvYH9af1UvUE9Lb0YfQF867zafM98yjzF/Lp8nnxyfEC8Fzv8u+274/vbO9C7xLu4u697p/udO4x7ePtnO1k7TjtEezv7M/ssOyc7KTsx+zv7QLs+ezm7Nvs2+zg7Ofs8Oz27PDs3ezE7KzsmuyO7IXse+xn7EvsLOwS6/vr5+vV677rk+tP6wTqxuqX6mrqNuoA6czplela6SDo6eis6GToGufZ55znV+cJ5rzmd+Y25fTls+V35T/lA+S95G7kIuPh46zjf+NT4yPi6+Kt4m/iMOH14b7hj+Fk4TXg/+DD4H/gKt/E313fA9603mLeD93F3YPdO9zq3J/cYdwg29PbhttH2w/a29rF2uHbD9sT2uXarNp/2jnZv9k32ObY3djs2OfYzdiu2IvYZdhJ2D3YNtgm2BLYBNf81/LX6Nfk1+fX8Nf+2BPYLdhM2HjYstj22UPZqdot2rPbDNss2zPbTNuF29ncO9yl3RDdeN3d3kbeud8137bgOOCy4SLhjeIB4o/jNOPd5G7k5eVZ5eLmfecS547n9+ha6MjpRenO6lTqzOs/68PsYO0K7a7uUe7/773wdvEQ8YvyC/Kt81/z7fQ/9HD0m/S49L703vVf9kv3Yvhk+UD58fpk+qb68Ptx/B781/2X/lz/BP9y/8AAIgCcAQQBTAGbAg0CiwL3A1MDtwQjBI8E9AVWBbMGDAZoBsYHHwdzB8wILwiWCPwJZQnOCi4KiArxC24L7QxYDLANAA1ODZoN6A4+DpUO6g8/D5sP/hBkENERRhG7EisSmRMNE4IT7hRKFJQUyhTtFQkVJBU5FT4VMBUeFSIVRxVrFVcU9RSBFFQUixT8FXcV6xZSFp8W2BcdF3cX0RgjGH0Y0hjZGGMXnxbdFicVXRSXFB8UAxPyE5cS8BIzEYwRGhEKEY8S2BTwF4UZ1BshG2MbTBuGHAQcUhxHHDYcchzxHXcd2B4SHigeGh3fHXUc9xymHLcdEh1lHXgdVB0cHOQctRyhHLkc7B0WHRAcyBxEG6EbEBqxGoYadRptGnAaiRq0GuIbCBstG2EbnxvXG/wcFhwvHEYcVxxjHGwcbRxlHF0cXxxjHF4cThw6HB0b8RvBG5sbehtUGzMbJBseGwYa2BqtGowaZBouGf4Z3hnCGagZohmlGXgY/Rh1GEkYfxi0GJUYQhgUGCQYNxgVF8YXeRdIFygXChbvFuEW5Bb2Fw8XJhcyFzMXMRcxFy0XHxcJFvIW2BavFnQWMBXvFbEVdxU/FQkU0xSbFF8UGxPSE4sTTxMhEvYSyhKXElsSERHDEYMRVhE0ERYQ/hDqENEQrBCEEGIQQBATD90Pqg+CD2EPSA85Dy8PHg7+Ds8Olw5dDigN+Q3IDZANVw0iDO4MuAyJDGwMXAxNDDQMEAveC5oLTQsKCt4KvQqgCpIKnwq6CroKhgo0CfEJ2gncCdYJugmVCXYJXQlFCTEJIwkZCQ8JAgjsCM0IqAiJCHgIawhbCEkIOAgjCAQH6AfcB9kH0Qe+B6EHfAdQBzUHQgdrB30HWQcXBukG3gbgBtoGzwbEBrYGpAaXBowGeQZTBigGDQYIBhEGGgYfBhsGDQX5BesF6QXrBeMF0wXHBcgFzgXOBcYFvgW7BbsFuAWvBaQFnAWaBZ4FogWqBb4F4QYFBhYGEQYIBgcGBwYCBf0GAwYSBiEGKwYxBi0GHgYQBhgGNgZQBlEGRQZLBmgGgQaABnAGagZwBnEGZQZdBmYGeAaABnkGaAZUBkAGLgYaBgQF7QXdBdIFwwWsBZYFigWEBXgFZwVZBVIFSQU9BTAFJAUSBPYE2QTBBK0EmgSLBH4EbgRXBD0EIgQEA+UDyAOvA5UDeANZAzcDFgL3AtsCwAKhAn8CXwJBAh0B8gHHAaEBfgFbATcBFgD2ANUAtQCVAHQAUAAqAAT/3v+3/4//af9E/x3++P7R/qf+ef5J/hz98/3Q/bL9mP1+/WL9Q/0g/Pj80/y4/KT8i/xs/E78NPwY+/j72Pu++6b7iPtj+z/7Hvr8+tn6t/qW+nb6Vvo4+hz5/fnd+bz5m/l8+V35Pvkd+Pr42Pi7+KT4jfh1+Fv4P/gi+Af38Pfb98n3t/ek94/3efdo91n3Sfc79zD3Kfcf9xP3CvcE9vn26fbc9tX2z/bH9sH2wfbE9sX2xfbK9tH21PbW9t727vb+9wv3F/cm9zj3S/dc92v3ePeE95D3mvei96/3wvfU9+P37/f/+BL4JPgz+EL4Ufhe+Gz4eviG+JH4nPiq+Lf4w/jP+N746/j2+P/5DPkb+Sn5NvlG+Vf5Zvlz+YD5jvmb+av5vvnP+d/57voB+hX6Jvo1+kn6X/px+n76jPqg+rf6zPrc+uv6/PsO+yH7MvtC+1D7X/tx+4T7lfuh+6r7tPvD+9X76fwA/B78Pvxb/Hb8ivyQ/In8m/zq/Wn90f33/fb+BP4n/kD+R/5T/nL+j/6e/rD+z/7w/wX/Fv8z/1T/bP+B/6H/yP/rAAkAKwBRAHoArQDrAS4BcgHDAiYChQLSAyIDhgPeA+8DuQOFA5cD9QR8BRcFwgZ2BygH4giyCYEKEgooCasIwAe/Bv4GoQaIBo4GrQbvB0UHhAeYB5QHlAehB7wH3gfzB+IHqAdeByIHAAb2BvwG+QbVBpEGUgYrBggFyQVxBR4E2gSSBDoD3AOBAyQCwwJoAhoBzQF5ASIA1QCSAE4ABv/A/3z/N/71/rr+hf5N/g/91f2i/XH9OP0B/N38zfy//KL8dfxB/Aj7x/uA+zn69Pqo+k756/mP+UL5AvjI+I74Vvgm9//33Pew93v3R/ca9u32tPZx9jf2G/Yh9jv2VPZn9nn2jPad9qb2q/a29sn22vbd9sr2nvZf9iP1/vXu9eD1yfW39br1yfXQ9cf1ufW09b712fX99iH2RfZ09rL26PcC9wX3CfcK9vL2tPZo9jf2OvZr9rP27/cL9xb3NPdy9773//gz+GP4kfi8+Oz5KPlm+Zn5xPnz+ij6WvqH+rj68Psp+1r7ifu/+/38PPx0/KT80fz+/Sr9V/2K/cX+Av48/nX+rP7i/xP/Qv90/6r/3wARAEIAbwCXAL8A8gEuAWUBkgG6AecCGQJHAm8ClQK4AtgC8wMIAxwDNQNdA48DvQPeA/ID/gP+A+8D2wPQA84DzwPQA9cD5QP6BBYEPwRvBJkEswTABM4E5wUEBQ8E+wTZBMoE5AUhBXEFxwYaBmEGmAbLBv4HLAdIB1MHWwdkB2sHbgdwB3MHdAd1B3kHgQeGB4IHfAd3B3QHcQdxB3QHfQeIB5MHmgedB54HoQenB64HsgewB6gHnwedB6IHpQeiB58HnwecB48HewdpB1wHTwdABzAHHwcNBv8G+Qb2BvAG6AbkBuIG2gbPBskGyQbFBrsGtga3BsgGyAbFBsAGtwatBqcGqwa1BrkGsQalBqIGpQamBpoGhwZ2BmkGWgZIBjoGNwY+BkUGQAYnBfoFxQWcBYsFiAV+BV8FKATpBLQEkARoBBsDqAM/AxMDHwMtAxYC5wLDArYCrgKcAoECZAJCAg8BvwFRANYAaQAU/8n/c/8T/r/+hP5S/gf9i/zj/Db7sftr+1H7M/rw+of6FPmu+Vz5FfjQ+JT4Y/g++Bz4APf19/34Bvf999/3vPeo96b3qfer97H3yff6+Dv4efit+Nf4+PkN+SD5RvmI+dX6G/ph+sn7Z/wo/Nr9Rv1N/PP8a/v/+9z75/vh+637bPtF+zL7E/rd+qL6bfoz+ez5pPlx+VT5Qvk2+Tb5UvmS+fD6S/qD+pr6sPrc+v761fpA+Wr4ofgb99L3mPdH9tv2YfXu9Yn1MvTk9Jb0QfPn85nzZfNH8y7y/fKc8gLxRPCP8A3vyO+o75PveO9S7ybu/e7c7rjugO4x7eDtoO1x7UXtGOzw7NLsvOy17MXs6O0J7RHtA+zy7O7s8uz57QDtCO0N7Qbs9Ozc7MTssOyj7Jzsk+yA7GbsTew17Bnr+eva67nrietJ6wjq1uqt6n7qSeoY6e3pvOmB6UTpDOjR6InoPOf257nneOcu5t7mkeZH5gDlvOWA5UjlDOTI5H7kN+P748fjlONh4yzi9+LA4ojiT+IT4dnhqOGB4VnhJ+Do4J/gS9/t347fNt7j3o7eOt3x3a7dYd0L3L7cgdxF2/vbrNtm2yzbAtr62xfbNtst2wHa1tqx2mTZ3NlP2QLY/9kP2QnY8djV2LbYk9h42GvYYdhN2DbYJdgb2A/YA9f/2ATYEtgo2EXYYdh+2KLY1dkW2WTZyNpA2rDa99sU2yjbVNuc2/PcU9y43R7dgN3h3kjeud8y37LgM+Cs4Rnhf+Hz4oXjLuPX5G3k8uV95hvmvedP58PoH+hw6MjpNem66kLqvOsw67rsYu0T7bTuSe7q76TwY/EH8YfyBfKh81Dz4PQ69H30yfUI9Rr1FvVO9fb29/gP+QP5qfn4+h/6afrz+538T/0i/h7/Bv+Y/+sASQDGATMBdgG2Ah0CnAMOA2sDxQQmBIsE9AVdBb4GFgZyBtYHNQeJB9kIMwiSCPQJXAnLCi8KgwrgC1sL5wxjDMINEQ1aDZ8N5Q43DpcO+w9aD7wQLxCwES4RkxHgEioShxL2E2ITuxP9FC0UUxR6FKwU5hUVFSYVGxUJFRIVSBWMFZIVMRSlFGEUmhUlFbMWJhaDFssXABc4F38XyxgWGGsYuBjEGGoX1RdCFqMVvRSfE6sTHxLHEk0RnxDyEIEQYxCYESQSKhPYFhEYQRmzGkYajBsTG8EcGRv8G9McCRySHRoddB2rHdMd3h20HVodBx0DHWkeAx5xHn4ePB3dHYAdLxz0HOUdDR1aHZYdih0nHJEb/huGGyUa1RqeGoIaeBp2GnsakBq9GwIbVRuiG9scAhwgHD0cWhx1HIcciRyEHIUcjhyOHHkcWRw4HBMb4RuzG5gbhxtyG2QbdRuRG4wbYBs0Gx4bBxrbGq0akhp6GlIaKhoVGfIZlBkPGLEYmBiLGFMYDhf+GCkYTRgyF+cXoheCF3cXYhc3FwcW8BcAFyYXQBc6FyQXHRcwF0QXPxcfFvwW4BbCFpQWVhYVFdsVoxVoFSwU8RS7FIUURBP3E6sTbRM+ExMS4hKqEmsSIhHWEZURZRFAER8RBBDtENEQqxCBEFwQOBAOD98Psw+ID2APRg9CD0oPRg8kDukOpg5oDjQOBg3YDasNgQ1WDSEM4gypDIcMdwxmDEwMKwwBC8ULfAs7CwcKzQqDCkYKSgqZCvkLGgrZCmAJ+QnICbsJsAmXCXcJWglDCTIJKwktCTAJJwkJCNoIqAiECHEIYghOCDkIKwgcCAYH7gfhB90H1wfKB7QHjQdUBy0HPAdzB40HXAcEBsgGvwbLBs4GyAbDBrkGqQaaBpQGiwZxBkwGMAYlBigGMQY9BkQGOwYfBgAF7QXmBeIF3AXWBdMFzAXBBbYFtAW9BckFzwXKBb0FsQWtBa0FqQWfBZ0FrAXJBeQF9QX8BfwF9QXuBewF8AX3Bf4GCQYXBh4GGQYTBhkGKAYsBh4GDwYaBkEGaAZ2BmwGXwZaBlkGVAZRBlUGXgZjBmIGXAZSBkUGNQYkBhAF+QXkBdUFxQWvBZYFgwV0BWUFVwVMBUUFPAUxBScFHAUHBOkEzAS5BKoEmwSMBH8EcARcBEYELQQRA/ADzwO0A5wDgQNiA0ADHQL9AuACxQKnAoUCZAJFAiMB+gHPAakBhgFhAToBFgD1ANUAtQCXAHkAWAA2ABT/8P/I/5//eP9T/y3/B/7g/rn+jv5g/jT+C/3l/cT9qP2N/XP9V/03/RL87vzR/Lr8ovyG/Gn8T/wx/A777fvU+777o/uB+137O/sZ+vX60fqu+o76cfpW+jr6G/n6+dr5ufma+Xv5XPk6+Rb49vjd+Mj4sviY+Hz4YfhF+Cn4EPf69+f31vfE97D3m/eK93v3avdb90/3Rvc69y73Jfcf9xb3Cfb+9vj29Pbs9uX25fbo9un26fbs9vD28/b29wH3EPce9yr3NvdF91X3Z/d694v3l/eh96r3s/e+98z33/fx9/74CfgX+Cn4OvhJ+Ff4Zvh1+IT4kPia+KP4rvi9+Mv41/jk+PL5APkK+RL5Hfko+TT5QflR+WH5bvl7+Yj5l/ml+bT5xPnV+eP58foD+hb6Jvo0+kf6Xfpw+n36i/qd+rL6xfrV+uP68/sE+xb7J/s2+0L7Tvtc+237fvuK+5L7nvuv+8L71Pvr/An8JvxA/Fn8cPxy/GP8cvzU/Xj+B/4//jj+Mf5E/lj+Yf5s/oH+kP6Y/qn+yv7q/v7/EP8r/0j/Xv90/5X/u//d//8AKABVAIEAtQD0ATgBfgHUAjkCmALiAzIDkgPXA8kDgQNgA6YENATNBV0F8AaLBy4H7wjdCdAKawplCb4IsweeBs4GZAZMBmAGkgbeBy4HYAdrB2sHdQeJB58HuQfSB9IHqQdmByYG+gbhBtAGugaRBloGJwYFBecFvAWGBU8FFATCBFkD7QONAzYC4QKRAkcB+QGhAUsBAAC+AHgAL//o/6X/YP8d/uD+p/5q/in97v29/Yv9Uf0Y/PL84fzV/Lz8kvxe/CX75fuf+1b7Dvq/+mP5/fmc+U/5Fvjl+LD4fPhR+DH4Evfo97L3fPdM9xz24Paa9lz2OvY/9mD2hvai9q/2tPa39rr2w/bU9uf29fb19t72qPZc9hz2A/YI9gn19/Xf9dj13/Xm9ef15PXg9eD18vYc9lD2gPaw9uL3CvcZ9xT3Efcb9x73B/bV9p72gfaX9tz3K/dV91b3Vfd197L39vg2+HD4o/jR+QP5Pvl0+Zn5tvng+hn6Ufp/+q766vsv+237ovvY/Bb8WfyX/Mv8+f0l/VL9gP2w/eP+FP5C/m/+nv7Q/wH/Mv9k/5j/y//7ACwAWwCJALgA8AEsAWMBjgG0Ad4CDAI3Al8CgwKlAsEC2ALpAvkDEAM2A2gDlgO2A8oD2QPeA9cDyQPDA8gDzQPNA8kDyQPQA+ED/wQmBEkEXwRsBH0EnwTIBOYE6gTkBOoFCgU7BXcFvgYPBl8GowbgBxoHTAdoB28HbQdqB2cHYwdgB18HXQdbB10HZQdvB3kHgweNB5UHnAehB6QHpQemB6kHrgexB7EHsQewB7AHrweuB6sHqQerB68HrQekB5oHlAeKB3cHYAdOB0IHOActByMHGAcKBwAG+wb5BvQG7gbrBukG4gbWBs0GyQbGBsEGvwbDBuEG5AbfBtMGxAa8BsAGygbQBssGuwarBqUGqQaqBp4GiQZ3BmsGXwZOBkMGQwZCBi8GCgXjBcUFsAWfBZMFkAWVBY8FZQUSBLYEdARKBA4DqQM8AwQDCgMlAywDGgMAAuYCxgKjAoMCZgJDAhEBxgFkAPkAlwBD/+f/df77/pv+Zv5G/g39m/z2/ED7qPtF+xH67vrD+n/6I/m5+VL4+fiw+HT4RPgf+AD35vfV99X33ffZ98T3rveo97H3ufe19673uvfk+Cb4aPic+MH43vj0+Qr5L/lu+cH6FPpl+sr7WfwH/Kn9DP0Z/OD8jvxT/Dn8JPvv+577Vfso+wX60vqR+k/6Ffne+a/5ivlo+Un5PflY+ZH5yfnz+h76T/p0+oT6kPqf+pX6Rvmx+Qz4hPgj99T3hfcq9sD2SPXR9Wz1GvTR9IL0KPPP84rzYfNH8xzywvIz8YDwzvA/7+fvvu+v76Pvje9q7z3vEu7u7sXugu4n7dDtl+117VLtJOz27NfsyezN7OLtAO0V7RXtCOz+7QHtCe0Q7RjtIe0j7RntBezu7Nfsw+y27LDsquyb7IXscOxX7DfsD+vo68DrjetR6xnq8erM6p3qZ+o56hLp4+mm6WbpLejz6KzoW+gP587nk+dS5wfmueZs5iXl4OWc5VvlGuTX5JPkVOQa4+Tjq+Nx4zrjCOLY4qbib+Iz4fbhxOGg4X3hS+EJ4MDgc+Af38Xfa98T3rzead4f3dfdhd0s3N/co9xq3CPb0tuG20rbKNsu21LbattV2yfbA9rg2orZ9dlj2R3ZItk32TDZF9j92OHYv9ik2JTYiNh12F7YTNg+2C/YIdgc2CPYN9hV2HjYldir2MfY9dk32YbZ4NpB2pja1Nr+2y3bb9u93A7cYty+3R/dft3f3kfeuN8v36zgK+Ci4Qvhb+Hk4nnjJePN5GXk9+WV5j7m3+dk583oIuhr6LrpIOmi6ivqp+sg67HsY+0a7bruRu7a74jwQ/Dq8XTx9vKN8zLzwfQq9Ij08/VO9WT1QfU39Zr2evef+LP5aPmo+bH54Ppd+wf7yPy9/ez/CP+7ABEAYADSAUQBlwHjAkoCwgMuA4gD3AQyBI0E9gVmBc0GJAZ9BuYHUAeoB/MIQAiUCO0JVAnHCjAKggrUC0cL0wxVDLcNBQ1PDZIN0Q4eDoUO+A9hD8gQRRDbEWURvxHuEh0SahLPEywTcxOkE8gT6hQdFGsUwhUAFREVBBT5FRAVTxWSFZQVMRSlFGkUuRViFg4WnRcWF3EXmBeXF5oXxBgXGH4YyxjKGHQYBRenFzEWUxUSE9MS6RJCEZ4Q8RBrEDQQUBCjERkRxhLmFJUWiBgtGT8aABrKG4kb4xvPG7Qb6RxXHLMc4h0JHT4dZh1aHSkdEx1VHe8enR8PHyce/x7BHnseHR2nHT4dGh1KHZcdsh1/HSQcyRxxHAobohtXGywbAxrMGpwajxqpGtobGRtkG7Ib9BwhHD0cUxxqHH8cjByWHKQcrhykHIQcYRxFHCccABvnG+ob9RvuG+Ub/RwpHDQcEhvwG+wb6hvHG5YbfBtsG0UbCBrXGq8aahn8GYgZKhjQGGkYFRf+GBkYLhgTF9oXsRetF7sXshd6FyQW4BbXFwAXLRc1FyEXGBcrF0cXSRctFwcW6xbTFrAWexY+FgMVyxWRFVIVEhTXFKEUZRQcE88TjRNbEy0S9xK2EnESKxHoEasReBFPETARGBEAEN0QrRB+EFgQNxAVD/IPzA+hD3EPUA9ND1kPVw8yDvcOuQ6DDlEOHw3tDcQNpw2JDVkNGAzbDLQMngyHDGkMSQwnC/cLuQt6Cz0K+AqjClsKVgqvCzkLlgt9CvQKUAnlCcoJ1wnbCcAJjwlcCTgJLQk3CUQJQQkiCOwItQiMCHQIXghDCCwIHggUCAIH7AffB90H2wfTB8AHlwdcBzUHSQeFB5sHXAbtBqAGkgaiBqwGrwa2BrwGtQaoBqAGmAaFBmgGTQY7BjEGMQY7BkgGSwY7BiAGCAX4BewF4QXVBcUFsQWhBaAFsgXPBewF/QX7BekF0gXCBbkFrQWgBZoFpQW9BdYF6AXwBewF4AXYBdkF3AXdBd8F6wX8BggGCQYKBg8GEwYKBfgF7gX7Bh4GRQZaBlYGRQY4BjUGOQY8BjwGPAY+BkIGRgZEBjkGKgYeBhEF/wXqBdYFxgWyBZkFgQVtBV0FUAVFBTkFKgUcBRMFCAT0BNgEvwSvBKIEkwSFBHsEcARgBE0EOgQjBAcD5wPKA7ADkwNzA1IDLwMNAu0CzwKvAooCZgJGAiQB/gHWAbEBjQFlATwBFQDxANAAsACUAHkAXgBBACIAAP/Z/7D/iv9m/0H/G/71/s7+pP55/k7+Jv4A/dz9vP2g/Yf9bf1P/Sz9B/zn/Mz8svyX/Hz8YfxC/B/7/vvk+877tvuX+3P7Ufsu+wn64/rA+qL6ifpy+lf6OPoX+ff51vm2+Zf5ePlW+TT5F/kA+Or40vi4+J/4hvhs+FH4Nfge+Ar3+Pfn99T3wvex96H3kPd/93L3ZvdZ90z3Q/c99zX3K/cj9x73GvcT9w73DvcQ9w/3DfcN9xD3FPcZ9yP3MPc890f3VPdh93D3gfeW96j3tPe898X30Pfd9+v3/PgM+Bn4Ivgu+D34TPha+Gn4efiJ+Jf4pPiv+Lr4x/jV+OL47fj4+QX5Evkd+Sb5Mfk8+Uf5U/lh+W/5evmE+ZL5ofmv+bv5yvna+er5+foK+hv6K/o5+kn6W/ps+nr6ivqb+q76vvrM+tv66/r7+wz7G/sq+zf7Q/tP+137a/t2+4D7j/ui+7X7x/vc+/b8D/wl/D78WPxe/E38Uvyp/Ur95P40/kj+WP51/oz+kv6V/pv+nf6c/qn+xv7i/vL/A/8d/zf/TP9k/4X/qP/K//IAJwBbAIsAwwEHAU0BkgHkAkYCoQLnAy8DggOvA4YDNwM2A7cEfQUsBagGDAZ3BwkH7AkcCjoKxAp8CZIIZwdOBn0GEwYJBjsGhAbOBwsHLgc7B0gHYAd9B5UHqwfBB8UHpwdxBzcHBQbYBq8GiwZoBkEGGgX3BdUFsAWKBWUFMwTmBIEEGQO8A2UDEQLBAnQCIwHOAXwBNQDwAKUAWQAU/9L/j/9J/wj+yf6I/kb+Cv3V/Z79Yv0r/Qj8+Pzr/M/8ovxu/Dj7/Pu1+2X7FPrD+mz6Dfmw+WT5K/j3+L74hPhT+DH4FPfy98r3nvdv9zv2/va79n32WPZZ9nn2o/bB9s32zvbM9sr2z/bc9u/3APcI9vf2wvZz9i/2GPYk9i32H/YH9fn19vX59gL2D/YU9gz2C/Ym9lv2lfbH9vb3Hvcz9zP3Lvcv9zb3OPcp9wX22/bO9vj3Qfd494X3g/ea99H4Fvhb+Jj4yvjx+Rr5S/l7+Zz5ufnk+h/6WvqK+rj68fs0+3j7tfvw/C38bPyp/OD9Ef0//W39mv3G/fH+G/5C/mj+kv7A/vL/JP9W/4j/uf/qABwATwB/AK8A5gEkAV8BjwG2AdgB+gIbAj4CYQKCApwCrgK5AsIC0ALqAw8DNANRA2QDdAN/A4MDgwONA6IDtAO2A6oDmgOPA48DmgOsA8ID2APwBBQERwSCBLgE5QURBUQFegWnBcwF8wYlBl0GkwbJBwQHOQdWB1oHTwdCBzsHOwdAB0gHTgdSB1gHYgdyB4YHmAejB6kHsAe6B8MHxwfFB8UHxgfGB8QHwge+B7gHsgesB6oHqgerB6sHpAeYB4wHggd1B2IHTgc9BzIHJwccBxMHCwcCBvsG9wb1BvEG6wbpBukG5gbdBtMGzgbOBtAG1AbaBvkG+gbzBuIG0QbMBtUG3wbfBtUGxga6BrQGsgasBpwGhwZ3Bm0GYgZXBlQGVwZLBiAF5AW3BaQFnwWUBYcFhwWYBaIFfwUmBLsEbAQ8BAMDogM1AvYC/AMuA2ADdwNpAzkC9wK9ApMCbwJFAhIB0QF+AR8AxABuAAj/g/71/or+Vv47/gX9mfz//Fn7wvtF+ub6pfp/+l/6JPnG+Vn4+Pis+G34OPgP9/L32PfA97T3tfe397D3pveo97T3vfe49673s/fU+Av4Rvh0+Jb4svjM+Of5C/lK+ab6Efp4+uD7W/vw/IP87/0i/Sn9Gfz9/Mf8aPvs+3f7K/sB+tn6nvpa+hf52fmm+Yj5eflg+Tv5Mflk+bj58/oI+hn6OfpN+kD6Kvon+hz54Pl2+Qj4rPhM99z3avcC9pj2IvWs9U71CPTC9G70EvO/84PzWvMx8ufyaPG/8RDwf/Ad7+bvzO++77Dvmu9270XvFO7q7rzudO4R7bTtf+1v7WHtP+0R7O/s4+zs7QHtFu0f7RjtDu0N7RjtJe0x7TvtQu0+7SztFOz97Ors2+zS7M/sy+y97KnslOx97F3sN+wO6+Hrqetp6zPrDOrq6r/qjOpe6jTqA+nF6YTpSOkP6Mzofegr5+Lnpedr5yvm5Oac5lbmD+XE5XjlMeTv5K7kbuQy4/jjv+OH41XjJ+L54sjikOJT4hXh4+HB4aDhb+Ev4OngpOBV3/zfn99G3vHent5R3gTdsN1Y3QrcytyM3ETb89uo22vbTdtY237bkNt320zbMNsO2q3aC9l12TfZR9li2VvZPtkk2QrY6tjM2LjYq9ia2IbYdNhi2E7YOtgw2DbYTthz2JrYuNjM2OfZGdli2bXaB9pT2pfa0tsM20/bmtvh3CXcb9zJ3SvdjN3u3lbex98+37jgMeCg4QLhY+Ha4nLjHuPF5GHk/uWm5k/m4udV57LoA+hP6KHpCOmJ6hTqlesW66/sZe0e7b/uS+7Z73vwJ/DL8Vvx5PJ28w7zlPQH9IH1DPV/9aD1b/U89Wb2Fvcv+F75PPmO+X/5fPnR+nv7Xfx8/c3/CP/aAD8AhADgAUwBsgIXAoQC7wNLA58D9ARHBJ4FAwV1Bd8GNgaNBvcHZQfACAkIUAibCOwJTQm+CiwKgQrRCzsLvQw3DJMM4Q0vDXcNtg4DDm0O5Q9ND6oQHRCuETURiRGwEdwSKhKIEtgTERM/E2oTmxPlFE8UvRT+FQEU5xTgFQIVQRV0FWYVBRSPFHEU3RWbFl0XCxeuGCoYSRgOF80X4hhZGO0ZQRkmGLoYTBgDF6gW6hXGFJATjhK9EgMRbBEXEQ0RNhF5EcISFhKnE7gVTBcEGHgZlRp7Gy0biRubG6gb4hwoHEccRRxVHI4cyhziHOIc/x1bHeMeZR68HusfDR8vHzke/B5tHb8dSR04HV8dcR1WHTMdJR0QHNUchRxKHCYb8RufG1QbLRshGxYbFBs5G4ob6BwrHEccTxxaHG8ciBydHKscqxyZHIEcdhx3HHIcaBx2HKYc0BzMHKscoByxHLMclxyBHIsclBx0HD8cIxwdHAUbyhuIG1YbJxrqGpoaNxm5GSkYrBhjGEMYJxf4F8MXohehF7YXwxeoF18XCRbXFt8XCBcoFzMXNxdFF1YXWBdDFyMXBBbqFswWohZrFiwV7RWxFXYVNxT3FLwUghQ+E/ATpRNoEzMS+RK4EngSPxIJEc8RlBFlEUoROxElEPsQwhCNEGcQSRArEAwP6w/AD48PaQ9eD2APVA8vDv4O0g6rDn4ORQ4KDdwNwQ2pDYENRg0JDN0MvwyiDIMMZQxJDCUL9Au2C3ELJgrYCpYKfgqpCxQLiAuvC1wKvwo8ChMKMApMCjYJ7gmWCVAJMAkwCTsJOwklCPkIyAieCH8IZAhICDIIJggcCAgH8QfkB+UH5gfcB8QHmgdkB0QHWQePB6AHXAbsBp0GkAafBqQGogaoBrcGvwa7BrIGpQaSBnkGYQZMBjkGKwYoBi8GNwY4BjIGJgYWBgAF6AXNBa8FlAWJBZgFvAXnBg4GJgYmBhAF7gXRBbwFrQWkBakFuAXJBdUF3QXgBdwF0gXKBcoFygXGBccF1QXnBfIF9wX8BgMGBAX7BfMF8gX6BgsGJAY4BjsGLgYgBh4GJAYoBiUGIAYhBigGLwYuBiEGEwYMBgkF/wXrBdUFwgWwBZoFggVvBWEFVAVEBTAFGgUIBPwE8gTiBMsEtwSnBJcEhQR3BG8EZwRZBEgEOQQpBBMD9wPZA7sDnAN9A14DPgMbAvgC2AK2ApECagJHAiQCAAHaAbcBlAFsAUEBGQD1ANIAsgCWAH4AZQBLAC0AC//l/7//mv95/1b/Mf8L/uP+uf6O/mb+Qv4d/ff90/20/Zn9f/1i/UD9Hfz7/Nz8wPyk/If8a/xN/Cz8Dfvy+9v7wvuj+4D7Xfs7+xj69frU+rv6p/qR+nX6VPox+hD57vnN+a75j/lx+VT5Ofki+Qv48vja+MT4rviV+Hr4X/hF+C74G/gL9/z37Pfc98z3uvep95n3i/d993D3Zvdf91j3T/dI90P3Pvc59zf3OPc49zX3Mvcz9zb3OvdB90r3VPdc92b3c/eB9473nvey98T3z/fX9+H37/f9+Ar4GPgn+DP4PvhJ+Fb4Y/hx+H/4jvic+Kn4tfjD+NH44Pju+Pn5AvkL+Rf5I/kt+Tj5RPlS+V35aPl0+X/5iPmS+Z/5rfm4+cP50Png+fL6AvoS+iH6MPo/+k76XPpq+nj6iPqa+qn6t/rE+tP65Pr0+wH7Dvsa+yn7OPtF+1H7Xftn+3P7gvuV+6j7ufvM++P7+vwN/Cf8RfxT/Ef8QPxz/Ob9Yv28/fv+O/54/pj+mv6V/pf+l/6W/qD+tf7J/tb+5/8C/x3/M/9P/3H/kv+0/+MAHwBYAIwAywEYAWIBogHsAkoCogLkAyEDYgN6A0cDBwMwA+sE4wWkBgkGMwZhBtwH3glHCn0K2Qo5CQsH1wbfBjEF2wXhBiUGcwawBt4HBwcsB0sHZweCB5kHrge5B7QHmQdyB0MHDAbMBo8GZAZIBi0GDAXmBcIFogWHBW4FSQUKBLYEWwQAA6UDSQLxAp4CTAH5AawBZgEfANQAigBHAAX/v/92/zH+8P6u/mr+K/3v/bH9cv09/R79D/z+/Nv8qfx0/EL8Cfu++2P7Cfq4+mr6F/nF+X35QvkF+MD4e/hB+Bv4BPfz9973vPeJ90v3CfbK9pP2c/Z29pj2wPba9uX26Pbi9tb2yvbK9tr28/cG9wL22vaW9lj2QPZI9lD2R/Y59i/2J/Yc9hz2K/Y29ir2FfYa9kX2f/az9uH3Dfc19073VvdT90/3Vfdh9173PfcU9wv3Lvdf94H3m/fD+AD4RfiF+Lz45vkF+Sf5VvmO+b/56foW+kv6gfqy+t/7DvtC+3/7w/wF/ED8c/yk/Nb9B/03/Wb9kv27/eL+Cv4x/lj+f/6r/tv/C/85/2f/l//I//kAKABTAH4ArwDrAS0BZwGPAakBvAHQAeoCCgIoAj4CSgJOAk8CUQJaAmwChgKhAroC0ALhAu0C+QMSAzQDUQNcA1QDRwM/A0ADSANWA2sDiAOvA+AEGgRWBJME1AUcBWgFqgXZBfcGEwYzBlUGeAaiBtUHBAcfByAHDwb+BvYG+wcKByEHOwdVB24HhQecB7EHvge9B7QHsAe4B8YH0AfUB9QH0wfPB8wHywfKB8UHuwexB6kHpAefB5kHjweEB3kHbwdjB1UHRgc5By4HIQcVBwkG/wb2BvAG7gbrBuYG4QbfBuEG4wbiBt4G3QbiBuoG8Qb2BwsHBwb/Bu8G4AbdBuQG5wbhBtcG0AbLBsIGtAalBpQGhQZ5Bm4GXwZTBlQGWQZDBgYFuwWIBXgFcwVrBWYFbgWABYAFWAUIBKsEYQQnA+EDfgMWAtgC3gMcA24DqQOtA3cDKALmArcCiQJRAhYB2gGTATwA5ACSAC3/pf8O/pz+Yv4+/f79jv0D/Hj78/tu+u76jPpZ+kP6HfnO+Wj5DPjD+IP4R/gW9/T31ve696j3pvet9673qvep97H3ufe697f3uvfM9+/4GvhB+GH4gPii+MT46fkk+YT5//p4+uT7Vfvf/Hb8+v1V/Yv9n/2E/Sn8kPvk+177E/rn+rT6cvov+fP5ufmI+W/5ZvlN+SL5FPlE+Yv5sPm6+dr6DfoS+dP5k/mT+bz5xPmR+UH44/hn99H3R/bb9nX1//WM9Tj0+/Sy9FXz/fO784nzUfMA8ovx8/FP8L7wV/AY7/Tv3u/L77bvmO9u7znvBe7Z7qnuX+357ZjtZu1m7XHtYu077RftCu0S7SPtMO0z7S3tKO0t7TvtTO1d7Wrtbu1h7UTtJe0P7QLs/ez77Prs9ezm7NLsvOym7Ivsa+xE7BTr1euQ61PrJusD6tzqr+qA6lDqHOnh6aPpZukr6O3opuhU6ADnt+d750LnBObD5n/mOOXq5Z3lVeUR5Mzkh+RH5A/j3OOt44LjVuMm4u/itOJ24jriCeHm4cThlOFX4Rfg1+CL4DHf1d9+3yre1t6D3jPd4d2M3Tvc8tyr3GHcF9vU253bftuD25/bqtuS23LbYttC2tbaJtmN2VfZdNmT2YrZatlO2TXZFtj02NrYydi42KXYkth92GPYSNg42DzYVdh92KfYx9jg2QLZQNmW2fHaQtqG2sLa/ts/24Tbw9v63DHce9zd3Ujdrt4Q3nje7N9k39rgSOCq4QThaOHm4oHjJuPE5F/lAuWv5lDm0Ocw54Ln1Ogo6IXo8+l26gHqh+sR67DsZu0b7bzuS+7Z73LwE/Cv8UTx1fJn8vLzbfPk9G/1EPWY9cz1qfVv9XD14/bQ+AP5EvmW+Yr5Vvly+gX69/wq/YT+0f/RAGsAxAEQAWUByQI6AqsDCANUA6QEAQRdBLQFEwWBBesGRQadBwMHbQfGCBIIXAioCPMJSAmxCh0KeQrOCzQLqwwZDG8MvA0MDVkNnw3vDloOzQ8tD30P3BBWEMsRGBFGEYAR2BI2EnkSqBLZExgTYhPCFD8UthT0FOsUyBTDFOkVGxUyFRMUwBR0FH8U/RW3FmwXGhfYGIEYwBiEGDMYShjaGYAZwRl5GOwYdhg0F+8XZhaaFcEU/BRGE6MTNhMRExsTMxNPE2cTbhOBE/gVEhafGCMZSRoQGpga8BsqG2QbpxvWG9Qbuxu8G+ocKBxbHIgcxh0WHWIdmB3DHf0eVx7DHw8fBB6UHe4daB0uHSUdGB0AHQQdMR1bHVgdMx0THPsczhyKHFAcLhwDG7QbXBs8G28bzhwcHD4cRBxMHGUchBybHKIcmxySHJgcshzPHN8c7x0jHXsdvh23HXYdOR0ZHP8c2hzGHNEc2By5HIUcaxxuHGccORv0G7obmhuQG4cbXBr4GmYZzxlUGPMYnBhIF/wXuheLF38XnRfJF9QXpxdaFx4XERctF1QXcBd+F4EXfBdtF1MXMRcOFu0WyhacFlsWERXPFZkVYRUgFN0UnRRZFAoTtxNuEzAS9RK8Eo0SbBJGEgwRxBGLEXERaRFWEScQ6BCwEIgQZhBDEB8P/A/VD6gPgw9uD2APSg8nDwQO5w7MDqUObw4zDf8N2Q25DZINXg0mDPUM0Qy0DJkMfwxkDEcMIgvqC50LSQsBCsgKlwp8Cp4LAgtjC2sLEAqgCnIKiAqhCoYKMQnHCW4JOQkmCSMJIAkTCPkI0witCIwIcwhdCEsIPggwCBkH/gfwB/AH8AfhB8QHmwdvB1QHYAeGB5IHYAcPBuAG5wb6Bu8GzQa1BrQGvwbGBsMGtgaiBosGdgZiBkwGNQYkBh0GHQYjBiwGMQYqBhcF/gXgBb8FowWaBaoFzAXyBhQGLAYvBhwF+wXcBcQFswWtBbYFxQXPBdAF0QXVBdYF0AXKBcQFvAWyBbMFwQXVBeEF6QX0Bf8GAgYBBgQGCwYLBggGDgYeBikGJQYcBhoGHAYaBhQGEQYUBhkGGwYWBgkF/gX7Bf4F+gXoBdEFvAWqBZcFhQV3BWwFXAVGBS0FEwT+BO8E5ATXBMcEtQSkBJEEfQRtBGEEVgRHBDYEKQQbBAgD7wPUA7UDlQN2A1sDPgMdAvsC2wK6ApUCbgJKAikCBQHiAcIBowF+AVUBLAEHAOMAwgCkAIoAcABTADMAEf/t/8n/qP+I/2b/Qf8a/vL+x/6d/nn+Wv44/hH96P3E/aX9if1t/U/9MP0P/PD80fyy/JP8dPxX/Dr8HvwE++n7zPur+4j7ZvtF+yX7B/rt+tn6x/qx+pL6bvpJ+iX6A/ni+cP5pfmK+XD5WflC+Sr5Efj7+Of40vi6+KH4h/ht+FT4P/gv+CH4FPgG9/b35PfT98L3s/ek95j3jveG9373dPdr92P3Xfda91z3Xvdc91j3VvdY91v3Yfdp93T3fPeB94r3l/ek97D3vvfQ9+D36vfz9//4D/gc+Cb4Mfg/+E74W/ho+HX4gfiN+Jr4p/iy+Lz4yPjW+OX48/kB+Qz5Fvkf+Sr5NPk++Un5Vvlj+W/5efmD+Yz5l/mi+a75ufnD+cz52Pnn+fj6CfoX+iP6MfpB+lH6X/pq+nj6iPqX+qP6r/q8+sv62vrp+vX6/vsI+xf7J/s2+0L7Tfta+2f7dvuH+5j7qPu6+9D75fv6/BP8M/xL/En8PvxN/IH8xv0O/WP9yf4g/kb+Rf5B/k3+XP5n/nP+g/6S/qH+uP7Z/vn/F/84/13/f/+j/9UAEQBKAIAAxgEZAWMBnQHhAjwClALTAwUDMwM+AxQC9QNRBEAFYgY7BpwGpQaeBuwH3QlICnYKpQnBCGQHOAZ1Bf8FygXYBhUGVgaFBrQG9gc7B2gHeweIB50HsQezB58HgQdlB0EHCAa+BnoGTQYyBhYF8wXPBbIFngWQBYMFaQU3BPAEngRFA+MDfgMeAsYCcgIgAdQBkAFOAQsAyQCGAD3/7/+j/1//Hf7W/o3+Sf4K/cn9iP1S/TH9IP0L/OX8sfx7/En8Dvu++1v6+vqo+mH6GfnU+Zb5XPkY+Mn4fPhC+CP4GvgZ+A335fee90z3AvbI9p32i/ad9sf27vcB9wX3Bvb89uD2v/av9rz22/b29v325Pay9oL2avZr9nD2b/Zz9nn2cPZT9jr2O/ZH9jz2HfYP9iv2X/aO9rD21fcG9zz3Zfd093L3d/eQ96v3o/d090D3LvdC9273pffn+C/4b/ik+M748PkP+TP5avmx+fv6Ofpq+pX6wfrw+x77Qvti+437y/wN/EH8ZPyE/Kv82f0H/TT9YP2J/a/91v38/iL+R/5u/pj+wf7o/xT/Rf91/5//xP/mAAgAMgBoAKgA5AEOASMBLgE7AVEBbwGNAaIBqwGtAa0BrgGxAbwB0wH1AhkCOQJQAl8CcAKMArAC0gLoAvIC+gMJAx0DMwNLA2gDjQO6A+wEHQRNBH8EugT+BT8FdgWgBcUF7gYVBjYGUgZxBpYGugbQBtMGxwa6BrYGvgbTBvYHJQdcB48HtwfTB+UH6AfbB8YHuAe4B8IHzQfUB9gH1gfPB8cHxgfIB8YHvAewB6YHnQeTB4gHfQd0B2oHXwdUB0kHPgczByYHGgcPBwMG+QbwBuoG5wbkBt8G2wbYBtkG3wbmBu0G8wb9BwgHEAcPBxYHDAcFBv0G9wb3BvgG8gbjBtgG1QbPBr4GqAaVBokGggZ7BmoGUAY6BjUGNgYeBd8FlAVfBUcFPAU2BToFRwVHBSoE9gS5BH0EPwP0A5cDMALXAqQCpQLYAywDeAOVA3cDPgMNAuMCqwJgAhgB3QGeAU8A/QCwAFT/0v89/sb+gf5N/f79if0K/Jf8Kvuu+yj6tfpu+kj6HfnT+Xf5Jvjl+Kn4avgw+AT34PfD97T3t/e/97/3t/ey97b3wPfI98z3zPfP9973+/ge+D/4YviK+LX43PkN+V/50fpJ+rT7J/u8/G39Df17/bT9wP2Y/S78kPvr+237Hfrc+o/6Pvn9+c35n/l0+Vv5T/k0+Qn4+fkZ+UX5Vvlq+av58fnb+WL4/vka+Y353PnJ+XH49vha97H3JfbC9mP17PV69S308vSj9EPz+PPK85nzP/K48hjxd/Ds8IXwRPAa7/7v6u/X77vvku9c7yPu7+7E7pbuT+3t7Y/tX+1m7X7tfe1g7T/tMO017UHtSu1P7VHtVe1d7Wrteu2L7Zntmu2G7WPtP+0n7R7tHe0f7R/tGu0M7Pns5OzM7LLslOxv7D/sAeu863zrSOsf6vnqz+qe6mnqNOoD6c7pkelQ6RPo1OiI6C3n1eeO51PnGebZ5pfmVOYN5cXlgOU55O/kp+Rq5DjkDOPi47njjeNZ4x3i3+Kh4mbiNuIQ4enhuOF94UPhBuC94GbgDt+632TfCd6w3mDeEt3A3WzdG9zN3IXcR9wR2+Lbwdu828jbx9uv25vbl9t32wDaSNmx2YbZqtnL2b/Zmtl72WDZPtkX2PjY49jQ2LvYptiP2HHYUtg/2EPYXdiE2K3Y0Njz2SPZbtnO2jLaidrP2wvbRNt927Tb4twK3D3cjdz43Wrd09423qDfFt+P3//gYeC54RbhiuIa4rfjSuPR5F7lAeWr5j7mqub650nnougE6G/o5uls6fXqfusN66/sYu0S7bDuPu7K713v9vCR8SvxxPJa8uLzWPPP9F/1BvWW9d311/Ww9aL13faF95r4x/mL+af5ZPlJ+ar6fvub/Of+SP+LAH0BDgFaAZAB2gJCArIDDQNVA6UECQRvBMsFJQWIBe0GSwamBwkHawfCCBMIZgi3CQEJTAmnCgwKawrFCyoLmgwDDFgMogzuDToNhA3ZDkEOrg8LD1kPsBAZEH0QxBD3EToRlxHvEikSUBKFEtMTMROcFBUUhBS8FLYUoBSqFNEU6xTaFKUUZxROFIkVGBXEFlsW8RexGIIZARj/GMkY2RlJGbkZuhlEGK0YTRgtGBMXzxdsFwkWqRY8FdQVnRWfFbMVvRXAFbsVkBVKFUQV3xcGGDkZChl7GcgaGRpyGswbHhtVG2YbYRtkG34bpxvbHBwcZhyiHL4cxBzPHPkdRx2iHeYd8R2+HWodIRz4HN4cwxyzHM4dFh1fHYEdfh1wHWEdSh0xHSkdJRz2HH8b6RuBG3MbpxvkHAccFBwiHD0cXxx7HI0cnxy9HOsdHB08HUcdXR2iHgkeVB5QHgwdvh2DHVEdIx0LHQwdCxzvHMkctxy8HLcckhxSHBIb7hv0HBUcIhv1G5AbERqQGhIZlxkoGMIYUxfcF4gXjhfuGFsYfBg1F74XaRdcF4IXrBe8F7cXqRecF4kXaRc+FxUW8xbLFowWOxXxFboVihVLFQAUtRRsFB0TyRN7EzkS/xLRErYSqBKOElISARHBEaURnBGGEVURFhDdEK4QghBVECwQCQ/mD78Pmw9+D2YPSw8uDxIO+Q7dDrsOkg5kDjIN/w3PDaANbw07DQoM4gzHDLMMnAyBDGYMSgwcC8wLbQslCvQKuwpxCk0KgQrtCzMLIQriCrsKuQqxCn8KKQnLCX0JSQkvCSEJFwkKCPcI2wi6CJ4IiQh4CGUIUwg/CCUICAf0B+4H6QfYB7wHnAd7B2EHXQduB3cHYQdCB0MHaweIB24HJQbfBr0GuwbHBs4GyQa4BqAGiQZ0BlwGQwYvBiIGGwYcBiQGLQYvBisGIwYXBgIF6AXUBdEF2wXsBf8GEAYXBg8F+wXnBdYFxwW/BcEFyQXNBcwFzwXXBdsF2AXQBcYFuAWpBaQFrwXABc8F3gXvBf4GBQYLBhcGIAYbBgwGBwYRBh0GIAYcBhcGDwYFBgEGBgYNBg0GBgX9BfUF8AXvBfMF8AXiBc0FtwWjBZIFhQV9BXMFYgVJBS4FFgT+BOsE3QTSBMUEtQSkBJIEfwRsBFkERwQ0BCIEEgQCA+4D2APAA6UDhQNnA00DNAMXAvgC2QK5ApQCbwJOAjACEAHxAdYBuwGbAXQBSgEiAPwA1wC2AJgAegBZADYAE//x/9D/sf+Q/23/Rv8e/vX+y/6j/oP+aP5J/iL99/3P/a39jv1y/Vn9Qf0n/Qv86/zJ/Kb8hPxm/Ez8MvwX+/r72fu2+5L7cPtR+zL7F/sC+vL64frI+qf6gvpd+jn6F/n4+dr5vfmi+Yr5dPld+UT5LPkX+QP47fjW+MD4qviS+Hn4Y/hS+ET4Nvgo+Bj4B/f19+X31/fK97/3tveu96T3mfeN94H3evd393r3fPd693f3d/d69373hPeN95n3oven9673uvfG99L34Pfv9/34B/gR+B/4L/g6+EP4TPhZ+Gf4dfiE+JH4nvir+Lf4w/jM+NX43/jr+Pf5A/kR+R75Kvk1+T/5SflU+V35aPlz+X75h/mO+Zf5o/mw+bz5xfnO+df54vnv+f76Dvob+iX6MPpA+lH6YPps+nn6h/qT+pz6p/q1+sP6z/rb+uf68fr7+wj7F/sk+y/7PftN+1z7aft3+4f7l/uo+7371Pvp/AH8H/w8/Ej8RfxE/Ez8X/yE/Mz9Mv2J/a39rf2z/dD99f4Q/iL+Nf5J/mH+gv6r/tP++f8g/0j/bv+X/8oAAwA4AG4AtAEEAUoBgQHCAhcCawKnAtMC9QL5AtwC4gNrBIEFxAbABz8HUQcxB0UH9gk4Cl0KjwmdCCEG4QYqBdkFwAXRBgEGMwZfBpgG7wdHB3kHgQeDB5YHqgelB4cHaAdUBzgHAga6BnsGUQYxBgwF5gXHBbUFqwWoBaMFjwVjBSIE0wR5BBYDrgNMAvMCnAJJAf4BvwGHAVABEwDJAHQAHP/N/4j/Q/72/qf+YP4i/eH9n/1k/T39J/0Q/Ov8t/yA/Ev8Dfu7+1n69/qi+ln6F/nf+bD5fvk7+Oj4nfhx+Gf4cfh4+GD4HPe19032/fbK9q72sPbS9wX3J/cu9yj3JPcX9vP2xfas9rj21vbv9vT24vbA9pz2h/aC9oX2ivac9rD2rPaD9lb2SfZT9k72LfYU9iH2R/Zj9mr2dfad9uP3Mfds94f3lfey9973+Pfk96/3gfd595v32Pgj+G74qfjT+PH5DPkq+VD5hPnL+h76cfqx+t36//sm+1H7cfuC+5j7wfv0/Bv8MvxJ/Gv8k/y8/OT9D/05/WD9g/2k/cH93f3+/iH+Q/5l/pH+xf72/xr/NP9N/2r/i/+1/+cAGQBAAFgAaAB7AJYAugDeAPoBCgEVASEBMQFDAVoBegGlAdQB+wIWAiYCNAJJAmYChQKiAsAC4gMGAyYDQwNgA4EDpwPSA/4EJgRNBHkErQTlBRIFMQVOBXYFpgXVBfgGEQYmBj0GVgZsBnwGhQaLBpUGpAa9BuMHHAdgB58HzQfnB/MH8wfoB9gHzAfHB8cHyQfPB9QH0wfKB78HuQe5B7YHrgejB5sHlAeMB4IHdgdsB2AHUQdDBzkHLwchBxIHBwcBBvwG9AbtBukG5gbhBt0G2wbaBtkG4AbuBv4HCwcVByEHJwciBxsHDwcMBxAHFAcYBxQHBQbuBt0G0gbEBq0GlAaDBnwGeQZwBlsGNgYSBf4F9QXfBa8FdAVEBSMFDAUCBQgFCQTpBK4EdgRZBEQEFAO1Az4C0QKJAmUCXwJ2Aq8C9wMrAzcDKgMZAv0CwAJpAhkB3gGoAWQBGQDQAHn//v9v/vb+pP5e/gH9jP0Y/LT8Vfvq+3X7CPqz+nH6Lvnd+Yb5O/kB+M74lvhb+CP39ffY98/31ffb99T3yPfE98v31vfe9+L34ffe9+X3+/gc+D74YviP+MH46vkO+Ub5nvoD+mX63fuJ/Fr9Ev19/Zz9iv1T/PX8ePv5+4/7NPrR+mT6BfnI+aX5g/ld+UP5NPkb+Pf45/j9+Rz5MflY+aj53/me+Pz4l/je+Yr5+fnj+XL44fg795L3Dfax9lb14PVu9SD04/SV9EP0DfPp86LzGPJf8aXxDfCi8F/wNvAX7//v8u/l78fvj+9J7wju1O6q7oHuRu337ajte+187Y/tke187WPtWO1Y7VvtX+1n7XXthO2P7Zfto+207cLtwu2r7YXtYO1H7TvtNu0z7THtL+0p7R3tCOzr7MzsrOyI7FvsIuvl66jrcutD6xvq8urA6ofqVOos6gLpx+mA6Tzo/ei26F3oAOew523nLubs5qzmbeYu5e3lqeVh5Rbk0uSd5HDkROQX4+vjv+OL40/jEOLS4pniaOI84g/h2uGj4W3hNODt4JvgR9/z35ffNd7b3o3eQ93x3ZrdR9z93LzchtxX3CrcB9v62/rb8NvY28rbyNuf2yDaadnf2b/Z5toC2e/Zxtmh2X/ZV9ku2Q/Y+tjn2NPYv9ip2IvYa9hZ2F/Yedic2MLY6tka2VvZr9oS2nna1dsh21zbjdu62+TcCtww3GXctd0c3Ynd7d5O3rrfM9+q4BXgcODL4TnhyOJv4w3jiOPu5GTk/OWc5h7md+bA5xfngef06Gro5+lr6fHqeOsH66jsWO0F7aHuK+6v7zrvz/Br8Qjxp/JB8s7zSfPC9FH08PV59cj13vXa9dj18/ZZ9y74TPk7+Zn5ePlM+XX6CPrx/CX9mf8gAG0BQwGkAcUB6wI6AqUDCQNcA7AEFASBBOUFPwWXBfAGSQamBwgHZwe+CBEIaAi/CQ0JVwmpCgQKXgq4CxoLhQvtDEYMkAzUDRgNYg24DhoOfw7dDzYPkw/3EFIQlxDLEQsRXhGvEeYSDRJDEpMS8xNXE8EUIBRXFGUUcBSaFMoUzRSVFEcUFhQlFIkVNBXuFogXERfCGJkZPxlvGUwZORlYGWgZIRiTGBUX7RgJGCcYHhf9F+AXxRecF3UXcheVF7wX0hffF9wXpBc4Fu4XIRe+GFEYihiNGKsZBBl8Ge8aVRqsGvEbIBs5G0MbTBtqG6Eb4RwOHCEcJxwvHD0cTRxYHFscWBxbHGwchByPHIMcbBxmHIQcxB0IHTkdTR1NHUYdSB1eHYcdpB2IHRwcfhvuG6AblxuwG8gb0xvcG+0cChwyHGgcrx0EHVcdjx2gHZwdqh3lHjoeeR6CHmIeNR4IHdcdrB2YHZcdkh1/HWsdYh1dHUcdHhzkHKQcbRxUHFwcbBxkHDsb+BudGygaqRo8Gd0ZaBjFGCYX5RgmGKkY9hjLGE4X2hetF7wX3BfqF+IX0RfDF7UXnxd3F0gXHRbyFrcWZRYTFdUVpBVqFR4UzBR+FDAT4BOWE1cTIxL9EuwS5RLMEo0SORH4EdoRzBGvEXsRQBEIENMQnRBsEEYQKBAHD+APug+cD4MPaQ9NDzAPDw7tDswOsg6UDmoOMg31Db4NjA1bDSoM/wziDNEMwAyoDI4MdwxOC/8LnQtTCyoK+gqqCmAKWwqcCuEK+wryCuQKzgqcCk8J/Am2CYEJXwlPCUYJNwkhCQcI6wjNCLYIpQiTCHkIXAhBCCcICgfvB90H0QfCB64HmweHB3AHYAddB18HWgdaB3kHsQfRB7EHWgcABssGvgbHBtMG1AbFBqoGjgZzBlgGPgYuBioGLgYxBjIGMwY1BjsGRgZRBk8GNwYUBfcF6QXnBe0F9wX/Bf8F+QXxBekF3wXVBdAF0AXSBdQF2gXiBeUF3wXVBcsFvgWtBaAFoQWrBboFzgXkBfUGAAYJBhcGIQYcBg4GBwYMBhMGEwYPBgYF9gXmBeYF9AX/BfoF7AXjBeIF4gXiBeEF3wXWBccFtAWgBY4FggV9BXQFYgVJBTEFGgUBBOoE2gTQBMQEtASkBJQEgwRuBFUEPQQmBBID/wPrA9YDwQOtA5QDdgNXAz0DJgMMAvEC0wKzApACbQJQAjYCGwH/AeYBzwGyAYsBYAE2AQ0A5gDDAKMAgwBfADoAFv/0/9T/tP+S/2v/Qv8X/u7+xf6g/oP+af5M/if9//3Z/bX9lP13/WL9UP0+/Sf9Cvzo/ML8nfx9/GH8R/wr/Av76fvG+6T7hPtk+0X7KfsU+wP67vrT+rL6kPpv+k36L/oT+fj52/m9+aP5jfl1+Vz5Qvks+Rj5A/ju+Nv4yPi0+J74iPh1+GP4U/hE+DP4IfgR+AP3+Pfu9+T33PfT98r3vvew96P3mfeV95b3l/eW95X3mPed96H3pvet97j3wvfJ99D32/fn9/T4AfgP+B34KPgz+EH4T/hZ+GL4bPh4+IP4kPid+Kv4uPjF+NP43vjo+PH4+/kG+Q/5GPkk+TL5P/lK+VP5X/lq+XP5e/mE+Y35lvmc+aP5rvm8+cf50PnZ+eT57/n6+gX6FPoi+iz6NvpE+lP6YPps+nn6hvqO+pb6ofqw+r36xfrP+tz66Prz+wD7DvsY+yH7L/tA+0/7Wvtm+3X7h/uY+6z7w/va+/D8Cvwm/Dz8R/xL/Ez8SfxR/Hn8wP0C/SL9Kf08/Wf9mP28/db98f4Q/jL+Wv6H/rX+3/8J/zP/Xf+M/8D/9gApAF4AngDlASYBXwGeAegCLgJmApQCswKwApgCtQNYBH8FzQbcB3sHrQeWB40ICgkvCnAK5wogCIYG+AYEBacFmgWxBd4GFAZLBo4G5Qc8B3EHfweDB5MHnweTB3QHWwdOBzUHAgbDBo4GZwY/BhYF8wXeBdEFyAXDBb0FqwWABUAE8gSbBDsD1wN5AyICzAJ6AjQB/gHRAZ8BXAEFAKIAP//r/6P/XP8N/r/+ev48/fr9s/1x/UL9I/0G/N78qvxz/D38APu0+1n6+vqi+lT6Fvns+c75qPlr+R/44PjH+NX48fj3+Mj4Yvfg92v3HPbw9uH27vcY90j3YPdb90/3Sfc/9x728fbX9t328Pb59vP24vbJ9qz2l/aO9or2jPaZ9qv2qfaD9lX2SPZY9lz2QfYl9iT2MvYt9g/19/YJ9k32s/ca92X3jPeq99j4Dvgu+Cn4EvgI+Bn4RPiC+Mf5Bfkx+Ur5Xfly+Yf5nvnD+gX6Yfq8+vj7FPsq+0n7Zvt2+4H7lvu1+9L76/wK/DH8Wfx7/J78xfzu/RT9M/1N/WD9df2Q/bH90P3v/hn+Tv5//qD+tP7J/uP+//8c/zz/Yf+F/6X/w//iAAYALwBcAIUApAC9ANoA/gEmAU8BegGpAdgCAAIbAisCNQJDAlcCcgKTArwC6QMSAzADRgNcA3gDmAO+A+cEDwQ3BGYEngTWBP0FEgUlBUMFawWRBa4FxAXWBeYF+gYWBjgGWgZ5BpYGsgbOBvAHIAdbB5EHtwfLB9QH1wfYB9oH2wfYB88HyAfIB8sHygfCB7gHsAerB6UHnQeUB40HiQeFB30HcgdlB1YHRAc0BygHHgcPBv4G8wbwBu8G7AboBuUG4gbdBtoG3QbgBuIG6gb9BxIHIAcnBy0HMQcqBxwHEQcVByEHLAcuByUHEAb1Bt4Gywa0BpsGhQZ1BmkGXQZOBjgGEwXmBcEFqQWUBXUFTgUnBP8E3QTMBMcErwRxBCUD+wQGBBkD+QORAwYCjQJDAiMCFgIYAjMCagKpAtoC9gMBAvECugJnAhkB5AG4AX8BOgDxAJoAJ/+i/yj+yP5t/gP9kP0m/Mr8cfwS+7L7V/sA+qn6UPn2+Z/5U/ka+PP4zvid+GD4JPf99/L39vfz9+X32ffd9+v39ff29/b3+Pf7+AH4FPgz+FT4dvik+Nr5Bfkj+Ur5jfnd+jH6pvtf/Ef9Cv1r/XH9Sf0N/Lz8XvwA+6b7QPrC+j/52vmj+Yf5avlE+Sb5FvkB+OL40Pjh+Qj5Mvll+Z/5p/lA+KD4YfjS+ZH5+fnP+VT4x/gt94n2//ac9kH10PVd9QT0wfSD9FL0NfQH85Xy2fID8UzwyPB38EnwLPAU8AHv++/179Pvje847u7ut+6O7mzuRe4T7dvtte2s7bLtsO2h7ZPtje2J7YDteu2B7ZXtqu237b7tye3a7ent5u3N7anthe1r7VntTO1B7T3tQe1H7UTtL+0M7Ojsyeyn7HrsQuwI69DrnOtr60HrGOro6q/qe+pV6jHp++mx6WPpHOjW6IXoLufd55TnTucL5srmjeZQ5hDlzOWE5T7lAeTR5KXkdORB5BLj6OO544LjROMG4szimOJn4jTh/+HL4ZnhYuEe4NDgfeAm38bfYt8K3r/ec94e3cndfN083QPczdyX3GPcPNwt3CrcHtwJ2/zb8du62zPah9oQ2fvaHNot2hPZ5tm72ZDZYtk72SPZE9kE2PXY5tjV2LrYnNiM2JPYq9jL2O/ZH9lf2a/aCNpm2sXbINtv263b2twA3CjcUtx/3LTc+N1L3aPd+t5X3sTfPd+04B3gfuDl4WfiDOK/41jjv+QM5G/k+uWN5f/mTuad5wbng+gC6Hzo9elz6fPqdusD66DsS+z37ZPuGe6T7xTvpfBB8OHxf/Ib8qzzLvOt9Dr0z/VN9Zz1xvXo9gj2KPZg9uT3vfij+Tj5YflZ+W35xvp1+4n9AP6sADQBSgHXAgMCEwJBApgDAANhA7oEHQSNBP0FYAWwBfcGQQaYBvoHXAe1CAgIXQi2CQ4JYQmzCgUKWgqwCw0LcAvVDDAMfAy7DPkNQQ2SDeoORQ6iDwIPYg+/EBUQXBCSEMkRDxFeEaIR1RIIEkkSlxLvE1ITsxP5FCEUThSXFNcU1hSNFDET/RQTFIEVRxY3Fw0XshhJGOsZbhmXGWwZMRkMGNwYdBfrF4sXhxfFGAEYERgAF+4X5hfjF+sYDxhOGJAYxRjtGPkYzRhuGBsYCBgUF+4XhRcuF0EXvRhcGOgZXhnPGj8anRrTGt8a2hrnGxAbQxttG48bsRvIG8MbnRtkGy8bGhs8G5Ib8xwrHCwcFRwHHA8cKhxYHI0cthzFHMYc1x0FHUAdbR1wHTkcyxxKG+kbxhvRG+Qb5BvVG8ob1Rv+HEoctB0pHY8dzB3hHeMd8x4cHk0ecB6CHo8elx6MHm4eVR5UHmAeYh5YHlAeSB4vHf4dxx2THVwdGBzVHKUcjhyGHIMcdRxAG9obYRsGGs4ahBn0GToYrRiLGLYY1hiyGF0YFBf2F/kYAhgGGAMX+RfqF9wXzRevF30XRhcSFtkWjRY5FfAVtxV/FToU7RSgFFMUBhPAE4YTWBM6EysTHhL8ErcSZBImEgYR7xHLEZgRYxEwEPkQwBCSEHUQXBA2EAcP3w/FD7EPmA94D1QPLg8KDu0O1g69DpcOYg4nDe4Nuw2KDVgNJgz+DOgM3AzODLkMnwx1DC0L0guJC2ELOwr3CqgKegp9CpsKvwrhCvMK2wqVCj8J9wnBCZQJdwlyCXYJaglKCSQJAwjmCNEIwQisCIwIZghHCCwIDQfrB9AHvweyB6YHngeWB4YHcgdjB1kHUAdPB2YHjAecB3oHNQb0BtEGyQbOBtYG1QbDBqYGigZzBlgGOQYlBikGOwZLBlEGTwZLBkwGWAZqBnEGXQY1Bg0F+AX0BfYF+gX8BfwF+AXzBe8F6gXlBd8F3QXdBeAF5QXpBecF4AXYBdEFxwW1BaIFmAWbBakFvQXSBeIF7QX3BgIGCQYIBgMGAgYEBgUGAgX9BfIF3gXMBc0F3gXpBeAF0QXLBc8F0gXPBcsFyQXGBb4FsQWgBY4FgQV7BXIFYQVJBTIFGgUBBOgE2ATOBMEEsASfBJAEgARpBE4ENAQcBAYD8APaA8UDsQOcA4MDZQNHAy0DFgL+AuQCxwKpAogCaQJPAjcCHAIAAecBzwGyAY4BZQE8ARQA7ADJAKkAigBnAEEAHP/4/9b/s/+N/2P/N/8M/uP+vv6c/n/+ZP5G/iX+BP3k/cL9oP2B/Wn9Wv1M/Tv9JP0F/OD8uvyX/Hn8XPw+/B/7//ve+777ofuD+2L7Q/sq+xT6+vrb+rv6nfqA+mP6Sfox+hn5/Pnd+cD5p/mN+XH5V/lA+S35GvkJ+Pj45/jV+ML4rviY+IP4cfhg+E/4Pfgt+CP4G/gS+Af3/ff19+z34ffW98r3v/e597b3tve297f3vPfD98n3zffS99n34ffo9/H3/PgJ+Bf4Jfgz+D/4SvhW+GL4bvh5+IX4kfib+KT4rvi5+MT40Pje+Oz4+PkD+Q35GPki+Sv5M/k++Ur5Vflf+Wf5cvl++Yf5jvmV+Z/5qfmv+bP5u/nI+dP52/nk+fH5/voG+g76Gvop+jX6QPpM+lj6Yfpq+nb6gvqK+pD6nPqr+rj6v/rH+tL63vrq+vj7BfsP+xf7JPsz+0D7SPtT+2P7dfuG+5n7sfvJ+9779PwN/CX8OPxL/Fv8Yvxk/HP8mPzE/OL89v0U/UH9b/2S/bH91P37/iH+SP50/qH+zP71/x//Tv+B/7b/6gAeAFMAjQDKAQgBRwGFAb4B9AIrAmECgAJyAlYCfAMlBD8FbQZdBvIHOQdOB24H+QknCpYLYArWCSUHOwXtBWoFXwV7BasF7wY+BowG2AcjB18HhQeaB6UHoQeKB3EHYwdbB0AHDQbVBqYGfQZQBikGEQYGBfoF6QXbBdEFvQWSBVEFBASwBFQD9gOdA0sC+wKxAnQCSAIeAeYBlgEyAMMAWf/+/7L/bP8m/uL+ov5f/hT9xP19/Uf9HPzx/Lz8g/xO/Bv75Pug+0768/qa+kz6Ffn3+eX5yvmZ+V/5M/kt+Un5avlo+Sn4tPgu97v3b/dG9zn3R/dq94z3mfeR94j3h/eB92T3O/cg9xv3G/cR9v/27fbZ9r/2pvaU9ob2dvZq9mj2X/ZE9ij2KPZC9lP2SPY29i/2I/X19a/1e/V89bX2G/aX9wb3Svdr9433y/gV+FD4cPiC+JH4qPjT+Rj5Z/ml+cX50vnY+df5x/m4+c/6IPqM+tz69fry+vj7Efss+z/7Uvtt+5D7uvvq/Bz8R/xo/Ib8qPzM/O79Dv0o/Tz9Tv1n/Yn9qf3G/ej+Ff5A/l7+cf6F/p/+u/7T/uz/Cv8u/1b/f/+n/8z/8wAfAE4AeACbAMAA7AEdAU4BegGiAcgB6gIEAhQCHgIqAj0CVwJ5AqQC0AL0AwoDGQMsA0UDYgOFA60D2AQBBC8EaASkBNEE7AUABRoFOAVUBXAFjAWpBcIF3AX/BikGVAZ9BqQGxwbkBv8HIAdIB3AHjwekB7AHtwfAB84H2gfbB9AHxAe+B70Huge1B7AHqwelB50HlAeLB4IHfQd3B3AHZQdaB0wHOwcqBx8HFgcJBvkG7QboBuYG4gbfBt8G3QbYBtcG3gbnBu0G+AcNByQHLwcvBzAHMQcqBxwHFgceBywHMgcqBxkHAwbtBtcGwAalBowGdgZhBkcGLAYXBgYF6QW7BYgFYQVGBTAFFgTxBMUEoASKBHYERwP2A6sDmgPFA/YD7AOQAwACcQINAd0BzgHOAd0CAwI/AoACsgLLAsUCmwJZAhsB7gHJAZgBVgEMALcAUP/Z/2H+8P58/gL9j/0u/Nn8gfwn+9P7hvs0+tn6e/oi+cr5evlB+Sb5Gvj++MX4ffhD+Cf4HfgR9/739Pf8+A/4GPgU+BL4Gfgg+CT4L/hJ+Gr4jvi7+PD5Hfk++Wf5pfnr+i/6mPtR/Dv8+/1Q/Uv9I/zu/KX8Tfv5+6b7Pfq2+i75y/mV+Xf5V/kw+Q/4/Pjp+Mz4tfjC+PL5LPlZ+Wv5RfjX+GD4U/jX+Yn52/ms+T74xvg795X2+faG9in1wPVM9OP0lPRn9F30VvQU83LykfG68RvwsPBq8EHwLPAd8BHwDfAC79nvi+8x7uXuq+6C7mXuT+407hLt9O3n7ePt3e3R7cntxu3A7bHtpe2p7bzt0O3c7eTt8e4F7hHuCe3u7crtqu2S7X7ta+1c7VjtYu1x7XPtXe047Rbs++zc7Kvsa+ws6/XrxOuU62nrQOsU6t/qp+p66lPqIenb6YvpPOjy6KjoWugM58Dneec15vTmtOZ05jLl7+Wq5WjlLeT85M3kmeRk5DXkDOPj47HjduM44vviwuKN4ljiJuH44crhkuFN4QDgsOBZ3/nfmN9C3vTeot5K3fnduN2D3U7dE9zQ3I/cY9xT3FLcStw83DHcG9vQ20LaptpF2jfaS9pL2ivZ/9nR2aPZddlT2ULZONkt2SPZHNkR2PvY4NjQ2NbY7NkK2S/ZZtmz2gzaZNq32wnbYNu22//cNdxf3Inct9zj3Q3dO9103bTd/t5X3sXfQd+74CvgmOEO4ZjiOeLh43Dj0uQa5Hnk/eWI5fTmR+al5x7no+gh6JTpBul86fbqdesB65vsQOzn7YLuBu557vPvgPAe8L7xW/H08obzC/ON9Br0rPUl9XT1rPXt9jr2efai9tn3SPfr+I75BflN+YH5xvpH+yr8ff4c/7oBCwHiAkUCXQJrApsC8gNXA7gEHASQBQ0FeAXFBfsGMwZ+Bt4HRQekB/YIRwiiCQYJZgm7CggKWAquCwcLYQu8DBUMZAykDOENJA1vDbsODQ5nDsUPHQ9sD7sQBhBDEHcQthEKEWARohHOEfQSKRJ5EuwTaRPMFAkUQxSWFOUU9xTBFHAUMxQnFHAVNhZlF5gYcRjkGSEZQxk7GQsY1BitGHwYHxejFz8XIxdFF3EXfhdsF1sXYBd4F50X0xgdGG4YtBjiGO8Y1BibGF8YJBe+FwwWPhXIFfIWlRdPF+QYVxjCGTAZlBnZGfUZ/hoaGlYanRrcGxcbUht4G2wbNBrrGq4amBrBGykboRvmG+QbvhuZG38beBuWG9kcHBw9HEQcVBx6HKYczRztHPUczBx+HEEcQxx1HJ0clxxwHEgcNRxBHHAcwB0hHX4dxx34Hh4eQB5fHnEeeh6KHq0e0h7dHtAeyx7iHwQfFB8OHwUe9R7MHogeRB4SHegdrx1lHRwc6BzSHNQc1RyqHEIbxRtxG1UbOxrjGkwZrhk1GNwYhxg0GAQYBhggGCwYJBgdGCMYJxgbGAUX8RfXF6oXbhcyFvgWtRZnFhoV1xWbFV0VHBTXFI0UPxP2E7wTlBN7E2kTUhMjEtgShhJIEiUSCRHgEa4RfRFOERsQ5xDAEKgQjBBbECIP+g/oD9oPvQ+UD2wPTA8yDxsPAg7iDroOjA5bDigN9A3BDY0NUg0aDPUM6AzjDNQMtgyJDE0MBwvJC5sLbgsvCuUKpgqBCnkKkQrACuMK1AqbCmAKNQoFCcUJkgmFCZAJigloCT8JHQkBCOoI2QjHCKkIgghdCD0IGgfzB9QHwge4B7AHqweoB58Hjgd4B2MHTgdBB0IHSAc5Bw8G4gbMBs8G2QbeBt8G1ga+BqMGmAaZBo0GaQZABjAGOwZQBmEGagZrBmMGXgZiBmYGWAY4BhkGDQYQBhIGDgYHBgAF+AXwBesF6wXqBegF5gXmBeYF5gXmBeYF4gXdBdYFywW5BaQFlgWXBaQFtQXEBc0F1AXZBd8F4gXlBekF8AX1BfUF8wXxBecF0wW/BbwFxwXOBccFvQW6Bb8FwAW9BbkFtwWzBa8FqQWgBZMFhwV+BXUFZAVLBTAFFgT9BOcE2ATLBLwEqQSWBIYEdARdBEQELAQTA/gD4APLA7kDpAOMA3ADUgM2Ax4DBwLuAtICtgKZAnwCYAJGAisCDgHxAdYBvQGgAX8BXQE5ARQA7QDKAKsAjgBsAEYAIP/7/9b/sf+J/17/Mf8H/uH+v/6f/oL+Zf5H/ij+DP3x/dL9r/2N/XH9XP1O/UP9M/0a/Pj80/yw/JH8cvxT/DX8F/v4+9r7v/uk+4b7ZvtK+y77EPrt+sz6sPqV+nv6Y/pO+jf6Gvn6+dz5wfml+Yj5bflX+UX5Nvko+Rn5CPj2+OX40/i9+Kb4k/iD+HP4YfhS+En4Qvg4+Cr4HvgU+Az4A/f79/P36vfi99333Pfd99734/fr9/P3+Pf79/74AvgK+BT4IPgu+D34S/hY+GL4bfh3+IL4jfia+Kf4tPi++Mb40Pja+OL47Pj3+QX5Efkb+Sf5M/k/+Un5Ufla+WT5bvl3+X75hvmP+Zj5n/mn+bL5vfnE+cb5y/nW+eD55/nv+fz6CfoS+hf6Ifou+jr6RvpR+lv6Yvpo+nL6ffqF+ov6lfqj+q/6t/q/+sj60vrb+uj69vsC+wv7F/sk+y37NPtA+1H7Y/ty+4X7nPu0+8j73Pvz/An8Hfw4/Fn8dfyE/I/8o/zC/OL9Af0j/Ur9bf2L/av90f35/hz+Pf5k/pD+u/7k/w//Qf92/6r/3AARAEoAgQC3APMBNgFyAZ4BygIGAkUCXgJCAiACSgLtA+AEygVsBcoGFgZ3BwYH4AkeCoALVArmCTsHLQW3BSgFJAVBBWsFuQYhBn8GxQcHB08HkAe5B8IHsQeWB4MHfQdzB1IHHwbtBsIGlgZnBkMGMwYsBh4GCAX3BeoF0QWhBVwFDAS2BFsEAgOvA2UDIQLkArMCigJcAhkBvAFPANwAbwAO/73/e/9D/wz+z/6D/iz91f2K/VD9Gfzb/Jj8Wfwl+/f7xPuF+zj64vqL+kL6Evn6+er51fm5+Zz5i/mP+aT5tvmm+WT4/fiP+DL37Pe+96v3r/fC99L32ffb99333vfP96z3gfdj91X3SPcy9xr3Cfb39tv2uvae9oL2XfYz9hP1/vXr9eH17/YS9i/2OfY89j32IPXR9W71MPUw9WH1tvYn9p/29PcY9yn3VPei9/v4R/h++J/4ufjl+Tb5n/n4+ij6N/o9+jr6Hfns+db6Afpg+rP6yvq1+qX6tvrc+wP7JvtP+4P7vvv5/C78WPx6/Jr8ufzW/PP9Ff06/Vf9bf2G/ab9yP3j/fv+GP43/k/+Yv53/pL+sP7N/ur/Cv8u/1f/gf+n/8b/4wAGADAAWgB/AKEAxwDxARsBPwFcAXUBjgGmAbgBxQHVAesCCQIsAlMCegKZAq8CxQLhAwEDIQNDA24DmgPAA+QEEQRFBHMElQSzBNQE9wUaBUIFcQWhBcwF8wYZBj8GYAZ/BqEGwgbeBvYHEAcvB1IHdQeUB6gHsQe4B8UH0QfQB8UHuQeyB64HpwejB6IHoAebB5QHjgeFB3oHcAdoB2AHVgdNB0QHOAcpBx0HFgcOBwAG9AbsBuYG3wbbBt0G3gbaBtoG4gbuBvYHAQcVByoHMQcuBysHLAcoBxwHGgcmBzEHKwcVBvwG6gbcBsoGsAaSBnQGWAY5BhMF8AXaBc0FtwWLBVMFIQUABOkEzQSmBHkEVgRBBCQD5wORA08DTgOFA8IDzwOTAxUCeAHwAaQBlAGhAbEByAHyAi0CYgJ/AoACaAJAAhYB8QHPAZ8BYAEYAMwAdgAN/5X/E/6J/gD9if0s/N38iPwt+9r7k/tJ+vb6ovpT+gP5tPl8+Wz5dvlz+Uj4/Pit+HT4VPg++Cn4Gvgf+DL4Pvg++D34Q/hG+D/4P/hV+Hn4ofjN+P75LflV+Yb5x/oG+j76n/tT/DX83/0a/Q/8+vze/J38P/vl+5b7NPq0+jH5z/mV+XD5S/ki+QD47Pjd+Mf4sfi5+Of5Hvk8+TT5Afit+GL4afjb+XL5wPmj+Un42/hT96r3APZ89hv1vPVK9M/0bvRH9FX0XPQK80ryXfGY8RXwuvB08EnwOvA18C7wI/AN79zvke8+7vbuvO6O7nDuXu5N7jXuH+4W7hHuB+327ert5+3j7dvt1e3c7e3t/O4E7gzuGu4t7jfuLe4S7fHt0+287ajtle2H7YXtk+2k7aTtjO1o7UrtNO0V7N/smexV7CDr8uvE65Xraus/6w/q2Oqi6nLqQeoD6bnpauke6NXoieg55+vnpedk5yPm4Oac5lvmHOXc5ZnlWuUj5PLkweSP5F3kMeQH49jjouNk4yXi6OKw4n7iU+Iq4fvhv+F44S/g5OCS4DXf199+3yjez9553jDd993H3ZLdUt0J3MTcldyB3Hrcc9xs3GbcRtvo21Xaydp/2nTaeNpn2kLaG9n02crZo9mI2XnZb9lm2WDZX9la2UrZNNkj2SPZNNlP2XXZrdn62lPaptrt2zXbjNvy3FbcotzU3PjdFd0u3UTdXd2E3brd/95Y3svfTN/N4Ebgv+E74b3iReLS41XjveQV5HzlAeWM5f7mX+bL50jnxOgy6JvpC+mA6fXqc+sA65rsOezY7Wvt7O5e7tfvZ/AI8KrxRPHY8mTy5/Nr8/30k/UP9WH1ovX89nD21/cH9wn3EvdT99X4efkW+ZH57fpQ+vH79/1d/vMAeAGqAmUCqgKvArsC8wNQA7cEIgSYBRMFfQXFBfUGJAZnBsQHLgeQB+QINAiSCP4JZgm5CgAKTwqoCwALUAugC/UMRwyMDMkNBw1JDY4N3Q44DpUO5Q8qD3QPwxAIED8QfRDSES8RdRGXEaoRzRIhEqsTSBPCFAYUORSDFNcVBhT/FNMUlRRWFFsVARZSF84YzBkSGOEYnBhuGFwYYxhzGGkYIxeoFyUWzBasFq0WrBanFrIW2xcWF0sXfRe6GAAYNxhOGEkYNRgcF/cXqBcPFjUVbRUeFWgWDxa4FzcXjxfSGBIYVBiLGKoYwhj6GWEZ3BpKGqka/xs2GzMbABrFGpwakBqzGwgbaxudG4sbVBsfGvoa8hsjG4sb9xw2HE0cXRxvHHwcjxy5HOUc4xy6HK0c7x1eHakdqh1+HU4dKB0KHPwdCR0xHW4duB4FHkgeeR6UHpwenR6oHsUe5B7xHuwe8x8XH0UfXB9YH0kfNR8LHskegx5QHi0eCx3fHa4dgR1kHVsdUR0gHLYcNRvXG60bkhtcGwEakRoKGV0YmBf3F74X7Bg5GF0YThg5GEAYUhhOGC8YCxfrF8UXkRdVFxkW3BaZFlEWCRXHFYoVUBUWFNIUgxQ2E/cTzhOzE5wTexNEEvgSpxJqEkUSJxH+EccRkRFgETERBRDlEMwQqBBuEDEQDBAAD/EPzQ+dD3cPYg9WD0YPLA8HDt8OuQ6TDmUOMA36DcINgg08DQYM8AzrDN0MvAyRDGcMPgwTC+QLqgtiCxUK0QqcCn4KgQqeCrMKpgqJCn8KfgpYCgAJrAmNCZYJlgl7CVgJPAkhCQUI8QjjCM0IqgiACFcILAgCB+IH0wfMB8MHvAe5B7MHoweKB28HWAdLB0cHPQcYBuEGuwa8BtQG5wbuBu4G4gbHBrEGuwbgBvEG0AaPBlYGPQY+BlIGbQZ/BnoGZgZYBlUGUAY+Bi0GKQYuBiwGHQYMBgAF+AXzBe8F7wXuBewF6wXqBecF4wXiBeYF6QXlBdsFzQW9BasFoAWhBawFtwW9Bb4FvQW9Bb4FvwXDBcwF1wXgBeUF5wXoBeAFzgW5Ba4FrwW0BbUFswWxBa8FqwWqBaoFpwWeBZYFlAWWBZMFjAWEBXoFaQVNBS4FEQT6BOgE2QTJBLYEogSQBH0EaARRBDsEJAQKA+sD0AO8A6wDlgN7A10DQAMmAw8C+ALeAsECowKFAmkCTQIxAhMB9gHaAcABpgGKAW0BTwExAQ8A6gDGAKYAiABmAEIAHf/6/9f/s/+M/2P/OP8Q/uz+zP6w/pP+dP5T/jP+F/38/d/9vf2Y/Xb9Wv1I/T/9Nf0i/QT84vzC/KT8hPxl/Ej8LPwN++370vu5+6D7g/tn+0v7LPsK+uj6yvqu+pP6e/pl+k36L/oQ+fP52fm++aL5h/lx+V/5UflG+Tn5KfkY+Qj49vjh+Mv4u/iu+J/4jfh++HT4bPhf+FD4Qvg3+C34JPge+Br4FfgP+An4B/gH+Aj4CvgQ+Bn4IPgj+CP4Jvgs+Df4RPhS+GL4b/h6+IP4jPiX+KL4rvi7+Mn41Pjd+Of48/j9+QT5C/kU+R/5Kvk1+UL5T/lb+WT5bPl0+X35h/mS+Zn5nfmi+ar5svm6+cT5z/nW+dj53Pnl+e/59fn7+gX6Efoa+h/6J/oy+j36R/pR+lz6Yvpo+m/6efqB+of6jvqY+qL6q/q1+r/6xvrN+tb64/rv+vr7BvsR+xr7Ivsv+0D7T/te+3D7hvub+637wfvY++38APwb/EH8avyJ/Jz8sPzK/Ov9Df0t/Uz9aP2E/aT9yP3s/gz+Kv5P/nv+p/7R/v7/M/9p/5r/ygABAD0AcwCjANoBHAFVAX0BrAHxAjACNwIGAeICEgKlA2UEBgRgBJAE5wWmBr8H9QkZCg4Kggn/CHcGlQU/BM4E4QUEBSkFeAXvBl8GrAbtBzsHjAfDB9MHxgexB6QHnAeJB2MHNgcPBu4GxQaYBnQGXwZPBjwGKQYcBg4F7gW1BWYFCwSuBFID/QOzA3MDPQMOAuYCuwKEAjYB0wFlAPUAiAAi/8z/iv9X/yb+6P6Y/j395P2a/Vv9HPzU/Ir8S/wY++n7s/t1+y763fqJ+kP6FPn5+eP50/nQ+dr55fnq+eX51Pmr+Wr5Ifjh+Kn4c/hD+Cj4Ifgi+CL4Jfgv+Db4KfgC98v3mvd/93X3a/dX9z/3K/cW9vT2yvak9oH2U/Yb9eb1w/Wx9a/1w/Xk9gH2FfYq9jj2G/XF9V31J/Uz9WX1p/X+9mj2wPbp9vH2//cs93L3w/gP+E74g/jG+Sz5q/oY+lf6c/qM+qb6qPqA+k/6Sfp7+rv61vrF+rD6uPre+w77Pvty+6z75/wc/Ef8a/yN/K78zPzl/QD9Jf1T/Xz9l/2s/cf95/4D/hj+Kv49/k/+Yf53/pT+tP7V/vb/F/83/1j/ev+b/7b/zP/kAAYALABRAG8AjACsAMwA6AD7AQsBHQE0AUgBWQFtAYkBqwHNAe8CEAIuAkoCawKUAr4C4wMIAzYDZwOOA6oDyAPuBBUENwRdBIkEuQToBRwFVgWRBcYF9QYfBj8GVQZpBoMGogbBBt4G+wcaBz0HZgeQB60Htwe6B8EHyAfCB7MHqQelB6EHmAeTB5IHjweJB4QHggd9B3IHZwdfB1gHTgdHB0IHOgctByAHGAcRBwYG+gbxBugG4AbcBt4G4gbhBuIG6gbzBvoHAgcSByIHJwclByUHKAclBxsHHQcqBzIHJAcFBuoG2wbOBrgGlQZtBkcGJAX/BdcFtQWgBZEFeQVPBRoE6ATDBKcEhgRdBDIEEwP+A9sDmANDAwgDBwMzA2oDiwN7AycClwH+AZsBhAGWAaMBpAGwAdUCAAIcAiYCJQIbAgYB6gHFAZUBVwEWANcAjgAs/63/Hv6K/fv9f/0g/NP8g/wp+9T7jvtM+wb6v/p9+jr59vnF+br5zvne+cn5hvko+NH4lvh0+Fr4Q/g/+E/4Y/hu+HD4b/hm+FP4Tfhj+I34tvje+Qv5Oflk+ZT5z/oF+jj6m/tV/Cv8r/y//Kj8sPy9/I/8KPvE+3j7Jfqz+jn52PmX+Wf5PvkW+PX43/jW+M34xfjM+O75F/kr+SX5CfjY+KD4kvjZ+Vv5vPm8+Wj47vhi98P3HfaP9iL1wvVS9M/0XfQq9Df0PvPq8yryS/Gb8Snw1PCM8F/wU/BR8EnwNvAV7+Lvnu9V7xLu1e6i7n/ua+5Z7kTuOO437jXuI+4I7fTt7u3v7fHt+O4I7hnuJO4p7jDuPu5P7ljuUu4/7iLuBe3s7dbtwu227bjtyO3W7dLtt+2U7XbtXO037P7su+x/7FDsJ+v768nrmOtr6z/rDOrU6p3qaOov6e/pqulj6RfoxOhs6Bvn1eeW51bnEubP5pLmV+YY5dPlj+VU5STk9eTC5InkU+Qk4/jjx+OO40/jEeLa4qzihuJf4izh6+Gm4WThIODS4HjgGd+6313fA9603nHeN93/3cTdhd1D3Qfc3dzC3K7cntya3Jfcbdv/22na79q52rHaptqG2mHaQtol2gbZ6NnR2cHZtNmt2a7ZsNmt2aLZj9l82XXZfdmU2bfZ6Noq2nnaxdsI203bqtwl3KjdDd1D3VPdUd1M3U3dXd2E3b7eB95k3tvfYt/o4Gbg4OFa4c3iO+Kv4ynjnOQH5HzlBuWV5hHmf+bv52Lnyegm6IzpAel66e3qaOr365fsN+zP7Vvt1+5K7sfvXPAA8KDxM/G88kDywfNL8+b0hPUD9Vj1ofYM9p33JPdm91X3H/cM91L38vjC+Yb6Fvp4+t/7ivyd/g7/pgEeAjACwALpAvEDFANjA80EPQSsBRQFbAWvBeMGGQZgBrwHJQeIB90ILAiKCPYJWwmpCewKOAqQCuULLwt5C8wMIgxtDKoM5A0hDWQNtQ4TDnMOxg8OD1oPqQ/xEC4QbhC7EQoRQxFhEXcRoxICEpYTOhO1E/UUHhRdFK8U8hUWFRcU5xSJFFYU0BYcF6oYrBjGGEgXwReOF7YYExhqGIQYSBfKFzcWvxZzFksWNRYzFlkWqBb/FzsXXReBF6oXwxe/F7AXpxefF3sXIxaVFfgVjxWNFegWZBbOFxgXRRdcF2wXhBeeF6MXoBfHGDcY1BluGfoafhrjGwQa5Rq2Gp0aoBq/GvkbMxtCGxoa3BqwGqIawhsnG8ccbRziHSUdSx1UHT8dLx1EHWMdVB0iHSAdgR4NHmMeZR5DHigeDB3iHbMdlB2RHakd3B4hHmAehx6aHqcetR7DHtIe4B7mHuge8x8UHzsfUR9PH0IfNB8bHvAeuR6IHmQeTB47HigeDR3wHdsdyR2fHUsc3hx8HC0b4huTG00bDxqvGgAZEhg8F9sX/RhbGJcYkRhvGGMYchh2GFgYJRf5F9kXsxd9FzwW/RbBFoMWQRX8FbsVghVNFRAUxxR4FDYUCBPnE8cTnhNnEyIS2hKgEnsSXBIuEesRpBFpET4RHBEBEOQQuxCDEE4QLxAgEAYP2A+oD4kPew9xD2APSA8qDwgO5w7HDp4OaQ4vDfMNsA1nDScNBAz0DOEMwAycDIAMagxTDDAL9gumC08LAgrGCp4KiwqICn4KZgpZCnAKjgp3Ch8JwwmfCacJqwmYCX8JaglOCSkJDQj/CO0IzAigCHIIQQgRB+8H4AfaB9IHygfFB74HrgeUB3gHYwdeB2QHYQc9BwYG3QbYBugG8wb4BvwG9gbcBsYG2QcSBzwHKwbkBpIGUwYzBjcGWAZ7BoMGcAZdBloGXAZWBkkGRAZEBjoGJAYPBgQGAwYGBgcGAwX8BfYF9AX0Be8F5gXjBegF7wXtBeIF1gXJBb4FtgW0BbcFuAW2BbEFrQWpBacFqQWvBbcFwQXMBdQF2AXXBdEFxAWzBaQFnQWhBaoFrwWpBZsFkAWRBZYFkgWCBXQFcwV8BYMFhAWABXcFZgVLBSsFDgT6BOoE2QTGBLIEnwSNBHkEYQRJBDQEHgQCA+ADwwOvA50DhwNqA00DMgMZAwEC6gLRArUClAJzAlMCNAIVAfcB3AHEAa0BkwF3AVsBPwEkAQYA4wC/AJ0AfABaADgAF//4/9n/uf+W/2//SP8h/v3+3/7D/qj+iP5l/kH+IP4D/eX9xf2h/Xr9V/0+/TL9K/0d/QP85fzI/Kz8jPxt/FL8N/wY+/b72PvA+6r7kvt6+2H7R/sp+wn66PrI+qr6kPp4+l76P/oh+gb57vnW+b75pfmN+Xj5aPle+VT5R/k4+Sj5GPkF+PL45Pja+M74vfit+KH4l/iJ+Hn4a/hf+FP4R/hB+ED4P/g7+Db4M/gy+DL4Mvg1+Dz4Q/hH+Ef4SfhQ+Fr4Zvhz+IL4j/iZ+KL4rPi4+MX40fje+Or48/j8+Qf5FPkf+Sf5Lvk2+T35RflR+V/5bfl3+X75hvmM+ZP5nvmr+bT5tvm4+b/5yfnQ+df54Pnn+er57vn2+gD6BfoJ+hD6Gvoi+ij6MPo6+kP6SfpR+lv6ZPpp+m/6dvp++oP6ifqQ+pf6n/qq+rX6vvrD+sn60/rd+uj68vr9+wf7Efsf+y77PPtL+137cvuE+5P7pvu9+9T76fwB/CL8Svxu/Ir8o/y9/Nz8+/0X/TD9S/1p/Yr9rP3N/e7+Ef44/mX+kf67/un/Hv9V/4b/tf/sACkAXQCHALkA9gEuAVsBkwHcAgsB8wGsAYUBtAIrArgDLgN4A7IEMAU/Br0IIwkGCWEJTAiiB0kFrgSMBD0EdAS2BOsFPgW6BjMGiwbUByQHdwe1B9UH3AfYB80HugecB3YHVgdCBzAHFAbsBsQGnwZ/BmUGVQZLBjkGEQXPBXUFDgSmBEkD+gO1A3wDUQMuAwoC2gKaAkcB5wF+AREApQA9/+H/lv9a/yP+5P6Z/kX98f2l/WL9I/zg/J/8Zfww+/j7uvt8+z369fqk+lr6JfoA+eX53vn2+iL6Qfo8+hT51vmL+UL5EvkB+Pj43/i8+KD4kviG+Hj4c/h2+Gz4QPf496/3f/dv93X3evdw91n3P/ch9vj2yPae9n72WfYo9fL1yPWy9a/1vPXQ9dv14vXy9gf1+vW59Wf1QvVb9ZD1yPYL9mX2vfbz9wT3BvcQ9y73Y/ew+AT4Wfi3+S/5tfol+mn6kvrD+wX7Ovs++xb67frs+w/7MPs2+y37LvtF+2n7kfu6++T8Dfw0/Fb8c/yN/Kj8xfzg/P39I/1S/X39m/2v/cT94f3+/hb+KP42/kX+WP5x/o/+r/7O/uz/B/8d/zL/TP9q/4f/oP+4/9T/9wAcADwAVwByAI4ApgC3AMMA0wDrAQMBGAEwAVABcgGRAa4BzQHrAgoCLwJdAosCsgLZAwkDPwNsA4sDqAPKA+sEDQQ1BGcEnATOBP8FMgVkBZQFxAXxBhQGLAZCBmAGhAapBswG7AcIByYHTAd6B50HrQe0B70Hwge3B6MHlgeVB5QHjQeHB4UHfwd2B3EHcwdxB2kHYQddB1gHTgdGB0IHPAcvByEHGAcQBwUG+AbvBukG4gbdBt4G4wblBugG7wb3BvsHAAcLBxcHHAceByIHJwckBx4HHwcrBzEHHwcABuQG0ga8BpYGZQY1Bg0F6QXEBZ8FgAVnBU8FMAUIBN0EswSOBG0ESgQiA/wD3wPHA54DWAMHAswCuwLPAvUDIAM7AyECwQI7AdIBrAGtAaYBigFzAXgBkAGoAb8B2gHvAfEB3AG0AX8BQwEKANYAlQAv/6T/Df58/fP9d/0S/MH8dfwg+877jPtV+xz63/ql+m76OvoT+gj6F/os+if59fmW+Sz42fio+If4avhc+Gv4iPia+Jv4kviC+G/4bPiG+K740vjz+R35Svlx+Zb5wvns+h76jftR/Br8c/xT/DD8W/yY/H78CfuT+0f7BPqj+jX52vmU+Vv5KvkA+Nz4wvi5+L74xfjO+OP4/vkR+Rz5IPkN+Nb4qPjK+UP5uPnJ+Wz44/hi9+X3WPbD9j71y/VX9NP0VvQN9AT0AfO28xLyUPGx8UDw6fCk8HvwbPBk8FXwO/AW7+Lvo+9g7x7u3e6n7obudO5i7lPuUe5a7lfuPe4b7gfuBO4G7gvuF+4q7jruQe5H7lHuYO5v7nnue+5w7lnuO+4e7gXt8u3n7ezt/O4G7fzt4u3E7artie1Z7R3s4+yw7ITsW+ww7ADrzuud62/rQusO6tXqmupg6ijp7+mw6WTpCuis6FjoEefQ543nS+cN5tPmluZU5g/lzeWS5V/lLOTx5LDkcuRB5Bjj7eO644HjR+MS4ubiv+KV4l7iHeHe4aXhZ+EZ4LzgWt/535rfRd783rredN4r3endr9173U7dLN0N3Ovcz9zJ3MXckdwU237bFtr12u/a2dqw2ozaddpf2kjaMdoc2gjZ+tn52gHaBtoB2fTZ4tnN2b/ZwdnW2fTaGtpN2o/a1tsZ22DbwtxM3OLdVt2H3YDdYd1I3UTdW92O3dPeI96C3vrfguAI4IHg9eFo4dPiNOKZ4wzjh+QA5IDlEOWk5ifmmOcB52Xnu+gO6HTo8Olr6drqUerk64zsM+zL7VTtzu5D7sTvXO//8JXxGPGP8gbyh/Mc88b0bfTu9UT1lPYO9rH3TPeg95j3Vvcd9yv3nvho+VX6Ifqo+wH7bvwv/Vr+zwBTAaAChAL4AyQDRQOFA+cEVQS4BQoFTQWKBcgGDAZbBrsHJQeHB9sIKQiBCOQJPwmICcoKFQpmCrQK+wtHC50L9QxDDIUMwAz+DUQNlw3zDlEOqg7+D04PmA/cEB4QYxCmENkQ/REgEVIRoBIQEpwTKROSE88T/hQ9FIgUyxT/FRoU+xScFFgUuBXlF1YYQhhKF7cXIBb0F0oX6hh5GKoYcBf4F3wXHBbXFpoWYBY9FlAWmxb1FzEXShdZF2kXbxdtF3UXhxeGF1MW9haXFl0WYxahFvMXLxdKF1MXVxdVF1YXZxd1F1cXDxbjFxEXixgiGMkZjRpJGrkaxhqlGpYaqhrUGv8bFxsGGtIaoRqTGrAbABuVHGYdQx33HnUevB6+Hn8eOh4dHhEd2h2FHWodtx4sHmgeXh5KHk0eUx5FHi0eHx4YHhceJR5GHmcedh56HooeqB7AHsoezB7THt8e7x8EHx0fLh80HzMfMx8xHyMfCB7kHr8enx6IHnUeWx45Hh0eDB31HcQdfh0vHNAcWBvSG2UbHhrSGkoZgRi0GDYYLRh6GM0Y5hjFGJwYkBiVGIMYURgaF/YX2BepF2UXHhbiFqwWchYxFfAVtRV+FUUVAhS5FHgUSRQkE/4T0BOcE2UTKhL0EsoSoxJpEhURvRF9EVgRQBElEQMQ2RCrEIQQaRBQECgP9A/KD7MPog+KD20PVQ9BDycPCQ7qDsYOlQ5XDhQNzw2LDU8NJQ0HDOwMzAyuDJIMfAxrDFkMMQvpC4sLNAryCsUKpwqPCnAKSQoxCkAKXgpWChoJ2gnECc8J0wnECbEJnwl/CVIJLAkVCP8I3Qi0CIkIWAgjB/oH5gfgB9sH1AfNB8YHtwefB4IHaAdbB18HZAdWBzcHGgcNBwgHAwcDBwoHCAbuBtEG2QcJBzcHOAcLBsgGgwZLBjUGRgZpBnsGcgZlBmYGbgZrBl4GUgZMBkIGMQYfBhkGIAYqBi4GJwYYBg0GCwYMBgQF9AXoBegF7QXuBekF4gXdBdYFzQXEBboFsQWpBaUFoQWdBZoFnAWhBacFrgW3BcAFwwW/BbsFuAWyBaQFmAWZBaQFqgWeBYYFdQV0BXkFcwVhBVAFTQVWBWIFaQVrBWYFWAVABSUFDAT6BOoE2ATEBLEEnwSNBHcEXQREBC4EFwP6A9kDuwOkA44DdgNbAz8DJAMKAvEC2wLGAqwCiwJmAkICHwH/AeIByAGxAZoBgQFlAUkBLwEXAPwA3QC6AJcAdgBWADYAF//6/9z/vv+d/3r/VP8v/wv+6v7O/rP+lP5v/kr+Jv4H/en9y/2o/YH9WP04/Sb9HP0O/Pj83vzD/Kj8ivxt/FT8PPwf+/773vvE+7D7m/uG+3H7XPtF+yj7B/rj+sL6pvqN+nL6VPo2+hz6Bfnw+dv5xfmt+ZT5gPl0+W35Y/lV+Uf5N/km+Rb5C/kC+Pf46PjZ+M34wfiz+KT4mPiM+H74cPho+Gf4Z/hk+F/4W/ha+Fv4W/hc+GH4Zvhq+Gv4b/h2+H/4iPiT+KD4rfi4+ML4zvjb+Of48vj++Qj5Efka+SX5Mvk++Uf5UflZ+V75Yvlt+Xz5ifmR+Zf5nvmk+an5svnA+cv5zvnQ+df54vno+ez58vn6+f/6A/oK+hL6GPob+iD6J/ot+jH6OfpE+kz6UfpW+l36Zvpr+nD6dPp6+oH6h/qN+pH6l/qf+qr6s/q5+r/6x/rP+tj64frr+vX7APsO+xz7Kfs5+0z7Yfty+4D7kPuk+7z70/vs/Af8JfxG/Gb8g/yf/Lv81/zx/Qn9Jf1G/Wj9iP2p/dD9+/4m/lH+ff6o/tT/Bv88/27/nf/RAAsAPQBoAJoA1wEQAUABeQG4Ac0BlQE7ARMBOgGPAfACXQLQA0kD+gUqBrsIEwivCJ8IOAeDBlgE5wPTA4wD4QRXBLYFFgWJBf4GYQa5BxAHYAehB9EH8ggBB/sH4Qe7B5gHhQeCB38HbgdOByMG8wbFBqUGkgaABmMGNQXzBZcFKAS4BFoEDQPIA4sDYANDAyEC7QKoAlkCAQGfATUAyABd//j/n/9T/xH+0f6P/kb99v2n/WT9Lfz9/Mv8l/xb/Bf70fuT+1v7HPrQ+oP6R/od+gb6D/o++nz6mfp8+jD5yvlf+Qb43Pjn+Qb5EfkF+PX46PjY+ML4sfif+HX4JPfC93P3TfdM92H3c/dw91f3NPcP9uT2s/aJ9m/2XfZB9hn18/Xa9dL11PXU9cT1rfWk9bH1t/Wa9Wr1VfVu9aH12PYa9nH20Pcc90j3WfdZ91v3dfez+Av4bvjb+Vb50/o3+nf6p/rk+zv7lvvM+8r7pPuI+5H7svvL+877x/vJ+9n77vwB/BP8K/xP/HX8jvyX/J78tPzZ/QP9KP1L/W39jP2l/bn9zf3k/fz+Ev4k/jb+TP5p/ov+qv7E/tn+6v72/wP/Gf83/1n/eP+U/6//zv/wABEALgBHAGEAegCNAJwAsADLAOkBBQEiAUMBYwF/AZwBvAHcAfoCHAJGAnMCmQK+AuwDIANPA3UDmgPCA+kEDgQ5BGwEnwTMBPQFGgU9BWMFjwW/BegGCQYpBk8GeAaeBsIG4Ab2BwkHKAdVB34HlQekB7MHugetB5QHhAeCB4MHfwd8B3sHdQdtB2kHawdpB2AHWQdZB1YHSwdBBzwHNgcqBx0HFQcOBwIG9QbuBuoG5gbhBuAG4gbkBucG7wb3Bv0HAwcNBxcHHgcjBysHMAcpByIHHQcjByIHDwbvBtIGtwaSBl4GJwX5BdcFuAWUBW4FSwUqBQYE4gS/BJ8EfQRaBDcEFgP0A9IDtAOXA20DLQLgAp4CdwJqAnkCogLYAvUC1wKFAisB8gHTAbABewFJAS8BLwFAAWMBmAHKAd4BywGdAWQBKgD4AMwAjgAi/47+9f5u/fP9e/0Q/Lz8c/wn+977pvt8+0/7GPrg+q/6hvpm+lb6Vfpd+lv6OPnn+Xv5HPjg+Ln4mfiJ+JX4r/i++Lr4r/ii+Jj4nvi4+Nj47/kI+TL5YfmB+Zn5t/na+gz6fvtA+/n8MPvy+9H8IvyI/Hb76ftX+wb6z/p++h75zPmJ+Uj5DPjb+LD4jfh++IT4kPiY+KP4tfjK+OL4+Pj1+Mj4mPix+SH5kPmX+TH4sfhU+Ar3n/cJ9mj12PVS9Mf0QvPn88TztPN78v/yX/HI8U7w8vC08JHwfvBq8FDwMvAJ79Pvle9W7xbu1+6o7pDuhe547m/udu6C7nvuXO4+7jbuPO4/7kDuRe5Q7ljuW+5i7nLuhu6U7p3uoO6Z7oTuZ+5N7jjuJ+4f7iTuMe437ivuF+4L7gTt7O247XntPu0I7M7skuxg7DfsDOvZ66XrdetF6w7qz+qR6lzqK+nz6ajpTujy6KHoWOgQ58jniOdP5xTm0OaI5kbmCuXR5ZflWuUY5Nbkm+Rs5EXkHOPu473jiuNW4yPi9eLH4pDiVuIh4e/hseFe4P7gnOA83+Hfj99I3v7eqd5W3hLd392z3Y7dcd1R3SndCN0B3Prcudww25zbR9s22zHbE9rn2sfas9qf2onaddpg2knaO9o/2kzaT9pD2jDaHNoJ2f3aA9oa2jbaUdp02qja6tsu23bb2dxi3PrdbN2V3YDdWd1E3U7deN263gfeV96y3yXfqeAr4J3hCuF44eHiP+Kc4wjjgeQC5IzlJuW/5kPmrucN52bntOgD6GXo3OlT6b7qNOrI63TsIOy77Ujtxe497r7vVO/w8Hrw6fFM8bfyOfLa85H0P/TC9Rv1ePYB9rD3Ufev9733l/do91v3k/gj+P757vq1+zv7ovwp/Pz+I/+CAOYCEALUAzQDXwOQA+IERgSjBOsFJwVkBaYF7gZABqQHEwd7B9EIIAh0CMoJGAldCaMJ7wo9CoUKzQscC3ILxQwRDFYMmAzeDSoNfQ3SDigOgg7fDzIPdQ+yD/kQRxCEEKEQtBDdES0RmhIWEpYTChNjE6UT5BQqFGoUmxTCFNcUuRRoFDMUjhWRFs8XpRfFF1oW1hapFwYXyhiDGM0YlxgoF8wXnBd5Fz0W3xaBFlgWehbFFwUXIxctFy8XMxdJF3wXrxeuF20XGBbqFvkXNheCF7oXxRelF3gXVhdKF1wXjBewF4cXBhZ8Fj8WWxazF04YRRlmGkIamRqZGpkavxr3GyAbKRsSGvQa7hsRG1YbvRxcHTYeJx7+H58f7x/XH2Ye5R6WHmYeFx2tHXYdmx3iHf4d7R3nHgIeIx41HkgeYh5uHmEeUh5XHmUeYx5XHlseeB6WHqEeoh6sHsEe2B7qHvwfDx8hHzIfQh9QH1YfUx9EHyUe/R7WHrIejx5pHkkeMx4dHfsdzR2aHU0c0BwoG4Ia/hqSGh4Zkxj+GIUYUhh5GNYZHhkaGOQYvBi3GLIYjBhSGCQYAxfYF5cXTxcQFtkWohZpFi4V8hW3FXoVORT2FLoUkBRuFEYUFRPkE7cTiRNUEx4S4xKWEjgR4BGpEZIRfxFeETERBBDcELwQoRCAEFAQHw/9D+wP1A+qD30PYQ9QDzkPGg77DtwOsQ5wDiMN2Q2bDWsNRA0gDP4M3wzCDJ8MewxiDFkMRQwMC7QLXgseCvIK0Qq3CpsKcApBCigKKAolCg8J+An1Cf4J+gnnCdYJxQmlCXYJSgkoCQgI4gi9CJoIbgg5CAoH8gfrB+cH3gfTB8oHvQerB48HagdGBzEHMgc8B0MHQgc5ByoHHQcaBx8HFwb3BtQGygbgBv0HCwcGBu0GvQaABlEGRwZaBmoGagZkBmkGcgZwBmAGUAZIBkUGQgY8BjwGRwZWBlsGUQZABjYGNAYyBiQGDAX3Be0F7QXwBfEF8AXsBeUF3AXOBboFpwWbBZoFmwWYBZMFkgWTBZMFlAWcBacFqQWmBakFtAW5Ba4FmwWTBZoFngWSBXsFaQVhBVwFUgVCBTMFLQUxBTsFRwVNBUwFQAUuBRkFBgT1BOQE0wTCBLEEoASLBHQEWwRDBCsEEQPzA9QDtwObA4EDZgNMAzEDFQL5AuICzgK8AqQChAJfAjkCFQH0AdYBvAGiAYgBbQFTAToBIwENAPUA2QC4AJYAdgBaAD0AHv/+/97/vv+c/3r/V/8y/w7+7P7P/rP+lP5w/kv+KP4K/e/90/2y/Y39Y/0+/SP9Ef0B/O381Py6/KD8hPxq/FX8Qfwo/Ar76vvP+7v7qPuV+4L7cPtd+0T7I/r++tv6v/qo+pD6dPpW+jn6IPoK+fj55fnP+bf5oPmS+Yn5gPl0+WX5VvlH+Tn5Lfkj+Rj5C/j++PP45/ja+M34wfi1+Kj4mviS+I/4j/iM+Ib4gPh/+IH4g/iF+Ij4jPiP+JL4l/if+Kf4rvi2+MD4zfjZ+OX48vj/+Qn5Evkb+SX5Lvk3+UL5TvlZ+WT5cfl7+X75f/mI+Zb5ofmm+a35uPnA+cP5yfnV+eL55/nq+fH5+vn/+gH6BvoO+hX6Gfoe+iX6Kfor+i/6NPo3+jn6P/pJ+lP6V/pb+mH6aPpu+nH6dPp3+n36hfqL+o/6kvqX+p36pfqr+rP6uvrB+sr60/rc+uX68fr/+wz7GPso+zz7UPth+3D7gPuQ+6T7vPvW++78Bvwj/ET8Yvx9/Jn8uPzT/On9BP0n/Ur9af2L/bf95v4R/jz+av6Y/sL+7/8i/1X/hP+z/+gAHABMAIQAxgEAASoBVQF+AXsBMQDTALAA2QEeAWwB4wKNA0sEHwU6BpAHpQgLB9sHdAbhBd8EggNlAxADcwQPBI8E8QVRBbkGJAaPBvMHRgeLB8kIAQglCCsIFAfuB80HwAfEB8cHvAegB3gHSAcaBvUG2Aa1BogGWAYeBcoFWwTqBIwEPgPuA6QDcANSAzEC/AK4AnACIgHHAV4A7wB+ABD/qf9Q/wL+v/5+/jj96v2f/WX9Qf0m/QD8y/yK/ED7+Pu5+4L7SPsE+r76hfpg+lX6b/qp+t763/qe+jH5s/k2+M/4nPip+Nb4+fkC+QH4/fjz+OH4y/ip+GX3/veU90v3MPc39073YPdc9z73Fvby9sz2nvZw9lb2TvZG9jL2GPYE9fn18/Xi9b31jPVp9WT1cPVv9V31UvVi9Yz1x/YT9nL23Pc+94n3s/e997v3yvf8+Er4qPkU+Yn59vpI+n/6r/rt+0L7pvv//C78LPwU/A38Ifw2/Db8I/wX/B78MfxA/Ez8ZfyS/MH80/zC/Kz8uvzy/TH9Wf1p/Xn9lf22/cr9z/3R/d799v4Q/in+Rf5n/oz+rP7D/tH+2v7g/ur+/v8c/z3/X/9+/5j/sP/L/+cAAwAbADIASgBhAHgAkwC0ANgA+wEcAT0BWwF3AZgBvQHiAgICIgJIAnIClwK4At4DCQMzA1sDhgO3A+YEEwRABHIEowTOBPYFGgU8BV4FhwW2BeAGAwYmBk0GcwaUBrQG0AbkBvQHEQc+B2oHhQeUB6QHrAegB4YHdAdwB3AHbwdvB3MHcgdtB2oHaQdjB1YHTAdKB0cHPQc0By8HKgcfBxQHDwcLBwEG9wbyBvEG7wbrBugG5gbkBuQG6wb1Bv8HCwcZByUHLAczBzoHPAcxBx4HEAcJBv0G5AbDBqIGgAZUBiAF7gXJBa8FkQVpBTwFEgTrBMUEoASABGUERgQkBAMD5gPJA6oDiwNvA0wDGwLYApACTgIgAhECKQJhAqACvwKqAm4CKgHxAbgBdwE4AQwA/AEGAS4BbwGsAcUBsAF9AUIBDADeALYAewAR/4H+8v56/g39m/0v/Nv8mPxU/BL74/vE+6D7avsu+vr60vq0+pz6iPp5+mz6UvoY+cD5afkr+QT45PjP+ND42/je+Nb4zPjG+MT4zfjj+Pj5BPkY+UP5c/mO+Z75uPna+gj6bPsa+7/75/ui+4v79Pxv/F37vPsX+sP6lfpQ+fv5tfl5+TT47viz+IL4Vvg9+Dr4P/g/+EP4Vvhz+I74ovik+I74f/in+QL5Rvku+Mv4a/g8+Bn3yPc89pH16PVG9Kr0HfO584nzdfNP8vjydfHh8Vvw+fC+8J/whfBn8EbwI+/177vvgO9K7xTu3+667qzup+6b7pPumO6h7pTude5i7mnueu6A7n3ufe5/7nvud+6A7pXuq+637rzuuu6w7pvuhO517m3uY+5b7lzuZe5o7l7uWu5u7ozuj+5n7ift5e2c7UHs4OyW7G3sTOwe6+Trqut16z3q/uq+6ojqWOoi6drphuk06OnonuhN6ADnxOeP51DnA+a35nrmReYK5cjlhOVD5Qnk1+St5IPkV+Qq4//j0OOW41njIuLx4r/ijuJh4jLh8eGc4T3g4OCD4Cnf19+K3zfe3d6M3lHeIt303czdsd2U3W7dT91I3Tvc7NxY28jbgtt923nbVdsp2w7a/Nrl2s3au9qp2pLagNqB2ovaiNp12lzaSdo/2kLaVtpz2oraltqm2szbB9tL25bb99x43QTdbN2N3XjdW91Z3Xvdtt3+3krelt7p31Tf0+BT4MThLuGa4gHiW+Kv4xLjh+QM5KHlReXl5mjmzOch53PnvegF6Frowukx6Z7qGOqs61Lr9uyR7SPtqu4m7qTvMu/G8Ejwr/EK8XHx9vKc81X0A/SI9Oz1WvXy9qj3R/em98f3y/fI98X30fgO+J75fvp1+0P71PxE/M/9pv7VADgBigKFAxEDUQOCA8gEIAR3BMIFBwVLBYoFxgYPBnMG6gdcB7sIEwhqCLoI+wk4CYAJ0wojCmwKtgsFC1ELlwvaDB8MZgywDQENVg2nDfcOUA6yDwoPSQ+DD84QJRBlEH4QihC0EQkRehHzEmoS1hMxE30TxBQGFDgUVBRgFFYUJhPdE8MUIxT+FgMWzhckFwcWqxZyFroXhhhlGNIYqRg6F+cXzhfIF5gXKRahFkcWRxaLFtcXBBcOFwYXCBcvF3oXtxewF3EXOhc7F2MXkhe9F94X3herF1gXExb6FxoXZRemF5MXFxZvFe0VrBWuFhkXGhh+GbkaZBqVGqka0hsFGyUbLxs3G1gboRwFHGoczh1PHgge5B+2IFAgjCBSH78fJB7DHosePx3WHY4dix2qHbcdtB3GHe8eEh4nHkEeZB50HmEeRh5EHlIeUB43HiUeLh5FHlMeVx5jHn0emx63Hs8e6x8LHy0fTR9kH3IfeR92H2UfRB8cHvse3R69Hpsedx5MHhcd5B27HYYdHxx+G78bBhpkGdoZbBkRGLcYaxhdGKIZBBkzGRkY7RjfGN4YxhiTGGAYNxgLF9MXlRdXFxkW3RalFnEWOBX4FbYVdBUyFPoU0xS1FI4UWBQjE/oT1BOhE14TDRKxElUSDxHvEeUR0RGjEWcRMBEFEOIQwxChEHgQTxAzECAQAQ/PD5wPeg9lD0wPLA8NDvEOyA6GDjIN4g2nDYANYQ0+DRkM+AzaDLIMgwxhDFQMRAwUC8oLgwtOCyULBArzCuoKzAqNCkoKJAobCh0KHwojCiAKDwn2CeQJ1gm8CZIJZwlACRYI6QjBCKEIewhLCB4IBgf9B/MH4wfSB8MHtwepB5QHbQc6Bw8HBQceB0IHVQdQBz8HOAc8BzsHJQb+BtwGzAbMBtMG4wb6BwMG5waqBm4GUgZWBmEGZQZkBmgGcAZvBmEGTQZCBkQGTAZSBlkGaAZ5BoEGegZuBmkGZwZfBksGLwYWBgUF/QX+BgEF/wX1BegF3gXSBbwFogWRBY8FkwWUBZEFjwWLBYIFewV+BYgFjgWPBZkFrQW5Ba4FlQWFBYQFhwWDBXgFagVaBUcFNQUpBSAFFwUTBRkFJgUyBTMFKAUWBQUE9gToBNgEyQS8BK4EnASFBG8EWwRGBCwEDgPvA9IDtAOWA3kDXgNDAyUDBwLtAtoCyQK1ApwCfgJcAjgCEwHxAdIBtgGYAXkBXQFEAS4BGgEGAO4A0gCwAI8AcQBXAD0AHv/9/9r/t/+V/3P/Uf8u/wr+6P7K/q7+j/5s/kj+KP4N/fX92/2//Z/9ev1U/TH9Ff0A/Ov80vy1/Jr8gvxt/Fv8Sfwz/Bf7+fve+8n7tfuh+477ffts+1b7OPsW+vX62/rH+rL6mPp7+lz6Qfop+hb6Bfnz+d75yfm4+a35o/mW+Yf5d/lo+Vr5TflA+TP5Jvka+RD5B/j8+O/44vjW+Mv4wvi7+Lf4tvi0+K74p/ij+KX4qfis+K74svi1+Lr4wPjJ+ND41vjb+OP47vj6+Qf5FPkh+Sr5Mfk5+UP5S/lU+V75aflz+X/5jfmY+Zv5nPmj+a/5t/m8+cb51Pnf+eL55fnv+fz6A/oH+g36E/oV+hb6G/oi+in6Lfow+jT6N/o4+jz6QPpB+kH6Q/pL+lP6Wfpd+mP6avpw+nT6dfp3+nv6gPqF+on6jfqQ+pT6mPqe+qX6rPqz+rz6xfrP+tn65frz+v/7C/sb+y37PftN+177cPuA+4/7pPu++9X77PwI/Cn8R/xg/H38n/y9/NL86v0N/TH9T/1x/Z39zP32/iH+Vf6I/rL+2f8J/z3/a/+X/8sAAgA4AHMAtgDsAQoBHgEyASMA2ACBAHEAtwEeAYgCFgLeA74EmAWABncHLwdjBzMG6gaABagEbwNnAxYDcQQCBHMEwgUMBWcF1gZOBr4HGQdmB7IH/Qg3CFAIRwgmCAUH9wf6B/wH8QfYB7cHkAdnBz8HFQbgBqcGdwZIBf8FlQUnBMwEfAQiA8oDiwNpA0gDFALUApMCTAHzAYgBFQCdACb/tv9S/vv+rP5h/hf9zf2P/W39ZP1a/Tj8/vy+/IH8RfwI+8v7kPtW+yH69PrV+tH67Psa+y77A/qY+hH5jPkR+Kn4avhj+IT4qPi8+Mb4zfjN+Mb4tviS+Ez36veL90/3Ofc990v3VfdL9yr3Avbi9sL2lPZd9jj2L/Yy9i72JPYc9hj2DvX19cf1jvVd9Ub1SPVP9Uz1SPVU9Xj1tvYK9m/23/dN96f33/fy9/b4CPg3+H341Pk9+a76DfpL+nX6pPrk+zT7kvv4/Ez8dPxy/Gb8Zvxp/Fr8Ovwn/DT8Wfx//J78wvz0/Rz9Gvzt/MX81v0l/X39qv2q/aT9t/3a/e394f3J/cP92P38/iD+Qv5n/oz+rP7D/s7+0f7T/tv+7v8I/yX/RP9k/3//k/+n/7//2f/wAAQAGwA2AFMAcwCXAL4A5QEHASgBRgFmAYwBuQHiAgQCIwJHAm8CkwKyAtQC+gMiA0wDfAOxA+UEEgQ/BGwEmgTGBPIFHgVGBWwFlQXABeYGBwYnBkkGaAaDBqAGvgbXBu0HDgc9B2cHfQeHB5AHlgeOB3sHbQdoB2YHZAdlB2kHawdoB2YHYwdZB0gHOwc0BzAHKQcmByQHHwcUBwoHBwcFBwAG+wb5BvkG+Ab1BvEG6wbkBuIG6Qb2BwMHEwckBzIHOAc7Bz8HPgcxBwgG9AbhBskGqgaIBmYGQwYdBfIFyQWnBYgFYwUzBQEE1wS1BJUEcwRSBDEEEAPwA9QDvAOhA4EDZANNAzkDGwLpAqACTAIBAdIBzQHxAjICdAKRAnsCQgIBAcEBewE4AQkA+QEFASkBXgGNAZwBgQFPARsA6wC/AJQAWP/5/3//Cv6q/k394v14/ST84vyg/GL8NfwY+/L7uPt2+zr7C/ro+sr6qfqF+mj6Ufoy+f35wPmO+Wj5Q/kh+Qz5A/j8+PT47vjo+OH45vj4+Qn5EPkh+Ur5dvmN+Zr5uPnd+gH6S/re+3f7ovtf+z/7m/wQ/AH7a/rS+or6Z/os+eL5pvlx+Sz44fih+G34Pfgc+A/4Cff/+AP4I/hS+HP4e/h0+HH4hvi9+Pr5CfjR+Hf4NPgX9/r3tPc99qH17/U19IXz9fOV82XzU/M88v/yj/H/8XHxB/DI8KPwgvBf8D7wGO/l76nvde9N7ybu++7d7tTu0O7B7rPusO6w7qHuie6B7o/uoO6k7qPupu6k7pvulO6e7rPuxu7O7tDuze7A7qzun+6f7qPun+6T7o7ulO6a7p7use7j7yHvQO8o7uzupe5O7dftT+zh7KXsh+xh7Cfr5Oul62jrKOrp6rLqf+pH6gPpuOlw6Sno2+iF6DnoAOfN54rnOObr5rLmf+ZB5fvlueWA5U7lIeT15MfkluRo5D3kDOPM44fjSuMZ4uziwOKW4mfiJ+HV4XzhI+DH4GvgFd/E327fGd7T3qDeb9453g7d+t3q3crdq92d3YHdItyF2/rbwdvE27/bmttw21rbSNsu2xXbCNr82uba0drK2szaxNqs2pLag9qI2qDaxNri2uva49rg2vvbM9t7283cMNyq3SndhN2i3ZLdgd2Q3b/d/N4/3oHext8V33zf+uB74PDhWuHC4iPidOLC4x/jlOQe5LnlY+YH5ozm6+c3537nwOf/6EbooekN6YLqA+qS6ynrv+xU7Oztfu4D7n3u/u+H8AjwdvDc8U3x2PJ88yvzy/RQ9MT1RvXq9p73NveV98j38vgk+Ej4SPg9+Gn5Afn1+vf7vfw2/Jv9PP5F/5sA8wIFArkDKQN9A8wEGQRfBKcE9gVEBYEFsAXrBkoGxAc8B6QIBghnCLgI8AkjCWcJvQoSCl4KqAryCzMLawumC+gMLAxyDMENFw1rDbsOFA56DtYPGw9YD6gQBBBOEHQQjBCzEPURSxGyEicSmhL9E0sTixO/E+ET7RPgE7UTbBMsEzATmxRVFSgV5hZvFpoWZRYgFkgXCRf+GI8YgBgVF7wXoReiF3sXDBZ6FhcWFhZmFsIW9hb8FusW5xcLF0kXbhdaFy8XLBdXF3oXexd7F5gXrxeJFyoWzhalFrgW8BcmFygW4BZqFe8VhhVJFX0WYBfKGS0aERpyGpYarhrBGs0a4xsfG44cKBzJHUYdmx3zHn0fOR/6IIYgtCB6H/0fhR9AHxce0x5pHgkd2R3QHdMd5h4UHkseah5oHmEeZR5iHkgeJh4ZHh0eFR30HdEdxR3PHd4d7R4CHiMeSx5yHpgevR7lHxEfPR9hH3YfgB+CH3ofZx9RH0EfNR8gHv4e0R6XHlMeEx3hHawdUBzCHBIbURqGGccZQBj/GNYYmBhbGF4YqRj9GSAZGRkLGQQY9BjUGKwYfxhLGBQX3xemF2MXHhbmFrYWgBY9FfcVsxVxFTcVDhTvFMUUhxRIFBwT/RPSE4sTMRLTEoUSWBJJEj8SHBHcEZURWREqEQEQ3xDCEKYQiBBqEEsQJQ/2D8cPow+ID20PTw8zDxQO6A6mDlUOBA3GDaANhg1pDUQNHgz5DM4MoAx7DGQMSAwVC9cLowt8C1MLMAspCzkLMQrxCpYKUwo9CkEKSApKCj8KJAoFCfAJ5AnRCa8JhwlfCTAI+wjKCKIIfAhSCC0IFggJB/cH4AfIB7YHpgeZB4sHcAdCBxYHCwcrB1YHZQdRBzkHOgdLB0sHKwcEBu8G6QbeBtIG2Qb1BwYG6garBnAGVQZZBmYGbQZwBnMGeQZ7BnAGWgZIBkYGTgZYBmMGdgaNBpsGmgaVBpYGlQaJBnIGWQZBBigGFgYRBhUGEAX9BecF2gXQBbsFnQWFBX4FgQWJBZEFmAWVBYQFcAVoBW0FcwV4BYQFlwWiBZkFggVvBWcFZwVrBW8FawVVBTUFHQUVBREFBwT7BPkFBwUXBRwFEQT+BOwE3wTTBMcEvASxBKMEkAR6BGUEVQRCBCgECQPsA9EDtAOWA3kDXwNBAx8C/gLmAtYCxgKwApQCdwJYAjYCEgHvAdABswGVAXUBVgE8ASYBEgD9AOQAxgCkAIIAZABJAC4AEP/w/8//rf+L/2v/Sv8o/wX+4/7F/qn+i/5p/kb+Jv4N/ff94f3J/bD9lP1y/Uv9KP0M/PX82fy5/Jv8hPxz/GP8Ufw7/CH8A/vn+8/7ufui+437fPts+1r7Qfsl+wv69frk+tH6ufqc+n/6ZPpM+jb6JfoV+gX58/nh+dP5yPm7+az5m/mM+X35b/lf+U35Pfkx+Sn5I/ka+Qz4/fjw+On45fjh+N342vjZ+NX4z/jK+Mn4zfjQ+NL41vjb+OD45vju+PX4+/j/+Qb5EPka+Sb5M/lA+Un5Uvlb+WX5bPly+Xv5hvmR+Z35qvm1+br5vvnE+c751PnZ+eP58vn++gP6BfoN+hj6IPol+ir6Lvow+jH6NPo6+j76QPpD+kb6R/pH+kn6TPpN+kz6TPpQ+lT6WPpd+mL6afpv+nT6d/p5+nr6fPp++oH6hvqM+pH6lPqZ+p/6o/qo+q/6uvrF+tD63Pro+vP6//sO+x/7LPs3+0j7Xvtx+4D7kfuo+7771fvy/BL8LvxF/GP8iPyn/Lr80fz0/Rr9Of1Z/YT9sv3b/gf+Pv50/p3+wv7x/yb/VP+A/7f/8wAoAFsAlQDFANgA3gDoANoAlABBAEYAyQGIAj4C8AO8BJYFXQYPBqkHAQb6BrkGdQYaBWkEdAOxA34DwAQZBFcEigTMBSUFkQYHBnkG3Qc3B5EH6QgwCFoIYQhLCCwIGwgaCBsIEAf8B+QHxQedB28HOwcABscGmgZvBioFxgVdBQYEtwRcA/8DvAOVA3ADOwMAAsQCfgIiAbQBOwC7ADr/wf9V/vP+lf49/e79rv2H/YP9lP2Y/XX9OP0E/OX8xvyU/FD8EPvg+7v7lvtw+1f7V/tg+0j68vpo+dT5Vfjs+JD4S/gs+DL4Sfhh+HT4gfiE+H74cfhX+CP32feT92f3VPdR91X3VvdJ9yn3BPbn9sf2kvZP9h72EPYY9iH2J/Yw9jf2LvYO9dz1pPVx9U71QfVB9Ub1TvVg9YX1wvYT9nT23/dJ96L31/fp9/L4DfhC+Iv45flT+cf6HfpH+mD6jvra+zD7ifvr/Ev8jfyh/Jn8kfyJ/HD8R/ws/Dz8c/yz/Oj9Ef0y/Tv9G/zh/L/84/1H/bD94v3Z/cL9x/3j/fL93f23/ab9u/3o/hf+P/5j/oT+of62/sD+wP69/sL+0f7n/wD/Hf8//17/df+H/5//u//V/+sAAgAeADsAWgB8AKMAyQDsAQ0BLgFUAYABrwHYAfgCFQI2AloCfQKfAsUC8QMgA1IDiAO/A/IEHARCBGkEkAS4BOQFEgU9BWUFjgW3Bd0F/gYdBj0GWQZzBpEGsgbPBuoHDQc5B14HcQd3B30HgweAB3UHbQdpB2UHXwddB14HXQdZB1UHUAdGBzgHLAckBx4HHAceByEHHAcRBwcHAgb/BvwG+gb7BvoG+Ab2BvIG6gbiBuMG7gb8BwgHFQckBy4HMActBywHKAccBuYG0ga4BpoGeQZXBjYGFwX4BdYFrwWEBVYFJQTyBMMEoQSJBHIEVAQuBAUD3wPBA6wDmAN9A10DQgMxAycDGgL6Ar0CZwINAccBowGmAdACEQJHAlcCPwISAdUBiAE7AQ8BDwEpAUQBXAFqAWUBRwEeAPcAzwChAGoAKP/X/3//M/71/qr+Rv3Z/X79NPzu/K78gPxc/Cv76Puf+1/7KvsB+t76ufqM+mT6TvpD+jD6Evnx+c/5oPlo+Tr5Ifka+Rr5FvkG+PL47/kC+Rb5HPko+Un5b/mB+Y/5sfna+fP6Jfqi+zz7dPsu+uT7Bfta+1z69vqM+l/6Svob+d75rPl4+TH45vir+Hr4Svgj+BD4BPf4+AL4Nfh9+Kn4pviM+Ib4qPji+Qr4+vi0+F34GPfn97X3cvcS9ov12vUX9Gbz3/OH81jzRPMy8wDym/IR8YbxGvDS8KHwd/BU8DfwFe/i76jvfO9e7z7vGO797vfu9e7m7tHuxO697rPuqu6s7rTutu6x7rPuuu667rHur+697s7u2O7e7uXu5+7c7svuxu7P7tru2e7M7sPuyO7a7vfvJO9l76Xvwu+r73TvNO7k7mvt0O1A7OXsuuyY7GXsIuvb65frVesW6tzqpupu6jDp7umr6WTpE+i/6HfoQegM58fndecs5vPmvOZ65jfl/OXI5ZXlY+Uz5QTk0uSh5HLkPOP647TjeONH4xvi8OLG4pjiXOIR4b/hZuEG4KbgTt/+363fX98e3ujerd5x3lDeU95X3j/eGN333cPdUdyu3Crb/NwD2/7b2tu126Hbj9t021zbVNtO2zzbJ9sd2xrbENr42t7a1Nrk2wzbONtO20PbKNsd2zjbeNvM3Cjcjd0A3XLdxN3f3dHdxN3T3f3eMd5k3pve3d8w35zgHeCg4RbhfOHb4jHifOLI4ynjpOQz5M7ldeYX5prm9ec253Dnqufj6CjohOj06W/p7+p16v3rh+wa7LrtW+3q7mDu0O9J78rwRvC+8T7x0/J18xLznfQb9Jz1MvXc9on3G/eB98j4Efhs+Lr4y/ic+HP4rvlu+nf7Yfvz/E/80P2x/uQAJgE/AiMC4AN9A/EEOgRqBKEE7gVFBYoFuQXtBkMGtwcpB44H8ghYCK8I6AkVCVUJqAn6CkIKiArNCwoLQAt5C7kL+Qw2DH0Mzw0kDXUNzA4tDooO1g8dD3IP0xAoEGYQlBC/EOsRJRF8EfESaxLMEw8TQBNoE4ATfxNcExgSyBKfEsgTRRPsFJoVRhXbFiUWBRW9FcsWaxdSF/MYCBfAF3gXXxdaFywWtxYlFcwV4BZBFqMW0xbVFscWxhbfFwAXBBbmFtMW+Rc7F1IXLxcZF0AXdRdqFxsWyRaiFpgWkBaCFm4WUBYgFdkVfhU0FUgV+xc0GIAZdBn0GiMaJhoaGh4aUBq8G1ocFRzFHUMdhx2/Hice0B+OICIgZCBZICkgBB/5H+Yfph85HsUeax4yHhweMR5zHsIe7R7iHrgekx54HlYeIh3nHbcdkh1vHUwdMx0tHTwdXh2QHckd/x4vHlweiB6yHt4fDh8+H2MfeR+DH4QffR91H28fZh9PHy0fBx7bHqUeah4zHfAdiBz5HFgboBq4GbIY5xihGL0YyxiVGFYYXxizGRAZQhlEGTIZIxkaGQwY5BiiGF0YIRfnF6QXXxcoFv0WyRaFFjwV9xW1FXkVSxUmFPUUsBRoFDYUGhP3E7oTZxMVEtoSvBKsEpASVRIGEbsRgxFXES4RChDyEOAQyBCkEHkQSxAeD/QPzg+uD5UPgA9nD0MPEQ7TDowOQQ3/DdINuQ2iDX8NTw0cDOsMvgyZDHgMTgwWC98LuAuXC24LSwtOC28LdwtACuEKkQpsCmUKaApsCmcKTQomCggJ+gnrCcwJowl6CUwJFQjaCKYIewhVCDYIHwgLB/IH2AfDB7IHoQeQB4IHcAdQBy8HLAdPB3YHcgdCBxgHGQc0BzkHHwcIBwwHFQcDBuMG2gbsBvEGygaJBlsGUQZeBm8GegaABoMGiAaNBoYGcgZdBlUGWAZcBmQGeQaVBqcGqgaqBq8GrwajBo4GeQZhBkAGIwYYBh0GGwYFBekF1QXHBbAFkQV1BWYFZgVzBYoFogWoBZQFdAVeBVgFXAVgBWYFcQV4BXUFagVcBU8FSAVNBVgFWgVGBSMFCwUFBQUE+QTlBNoE4QTxBPwE9wTnBNQExgS9BLQEqQSdBI0EeQRiBE4EPgQsBBQD+gPiA8wDswOYA30DYgNAAxgC8wLZAsoCuQKiAocCawJPAi8CCwHpAcsBsQGVAXYBVwE6ASIBDAD2AN0AvwCeAHwAXAA9AB8AAf/k/8b/pv+G/2b/Rv8l/wH+4P7B/qb+if5p/kX+JP4J/fT94f3N/bn9pP2J/WT9Pf0e/QT85vzD/KP8i/x7/Gr8V/xB/Cf8Cvvt+9D7tfub+4X7c/tl+1T7QPsr+xn7Cvr7+uj60Pq1+pz6hfpv+lj6RPoz+iX6FfoF+fb56vne+c/5v/mx+aT5lfmD+W75W/lM+UT5P/k3+Sn5F/kK+QX5BPkB+P34+vj6+Pn49Pjw+PD48vj1+Pj4/PkB+Qb5CvkQ+Rb5HPki+Sn5Mfk6+UT5Ufld+Wj5cvl9+Yj5j/mU+Zz5qPm1+cD5y/nV+d755fnt+fX5+vn/+gf6Efob+iH6Jvot+jT6Ovo/+kX6SvpN+lD6UvpU+lX6VfpX+ln6W/pb+lv6W/pb+lz6Xfpd+lz6XPpd+mD6ZPpp+m76c/p3+nv6fPp7+nv6gfqJ+pD6lPqZ+p76oPqh+qf6svq++sf60frb+uX68PsB+xP7Hvsm+zT7S/ti+3P7hPuY+6z7wvvd+/38GPwu/Ev8cPyO/KL8ufze/Qb9Jf1G/XL9of3K/fX+Kv5e/oP+qP7b/xL/P/9r/6f/5gASADYAZACSAKgArwC5AKwAYQAIAB8A6AIWAy0ECATLBYoGMQavBvkG+wa2BlIF+QWYBQgEXAPpA9gD+wQZBC8EXQSrBQoFbAXSBjwGpQcNB3MHzQgUCEUIWwhUCDwIKgglCCUIHwgVCAcH6we9B4QHTgccBvIGzQahBlsF+AWTBT4E8ASZBEQEAwPVA6cDcAM4Av8CuAJaAegBaQDeAFD/y/9V/ur+g/4m/dr9pv2R/aL9xv3U/bP9ef1W/Vb9Wv04/PL8q/x9/F78Nfv3+7X7gftW+xX6qPob+Y/5H/jI+H34OPgH9/b4A/gh+D/4TPhD+C74GPgD9+P3ufeP93P3Zfdf91z3WfdN9zL3E/b09s32jfZB9gv2APYS9ib2OPZM9lz2UvYo9ev1rvV89Vf1RPVE9VL1Z/WD9an14fYp9n322vc294P3s/fG99X3+fg4+In47Plk+dv6K/pF+lL6gfrb+z/7mPvu/Eb8jPyt/LH8sPyw/J38c/xO/FH8gfzE/Pz9HP0f/QP8z/ye/Jf80v08/Z/9z/3I/a39pv25/cf9uP2Z/Yv9pP3X/gz+OP5a/nb+jP6d/qb+pv6i/qT+sf7F/tz+9/8b/z//Wv9w/4n/qf/H/+D/+QATACsAQwBhAIcArwDSAPQBGgFHAXYBpAHIAeUB/wIdAj8CYwKJArcC6wMjA1wDlAPMA/wEJARGBGkEjASxBNgFAgUrBVMFewWmBc0F7wYQBjAGTgZqBogGpgbCBt0G/gclB0cHWwdoB3MHegd5B3EHawdmB2AHWAdSB08HSwdGB0AHOgcyByoHJAceBxkHGAccBx4HGQcQBwgHAQb6BvUG9Ab1BvIG7gbsBuoG5AbfBuYG9wcEBwkHDQcUBxkHFQcNBwYHAAb2BsUGtQacBnsGWQY3BhUF9QXXBbYFigVSBRgE4wS1BI8EcgRfBEsELwQJA94DuAOdA4sDeANeA0ADKQMbAxIDCwL8AtQCkAI8Ae8BuAGbAZ0BvQHtAhUCKQIjAfcBoQFEARcBKAFTAWkBZAFSATsBHQD+AOIAwQCQAE0AA/+8/4T/Yf9E/w3+q/42/cv9cv0k/Ob8ufyP/FD8Afu4+337Svsc+vX6z/qj+nf6X/pa+lj6Tfo8+h355fmc+V35QPlA+Uj5Qvkm+Qb4//kV+Sz5Mfk2+U75bfl7+Yn5r/na+ez6DPp6+xj7Y/sX+pj6bPqW+rD6jPpZ+kP6NvoX+e75wfmC+TD45/i5+JP4ZPg4+CH4F/gT+Cf4aPi++O/44/i4+KL4u/jx+Rf5C/jI+Gf4BPew9273NPbj9l31p/Tu9Ffz5vOP80/zLPMU8uTyh/IJ8YvxJvDb8J7wa/BH8C/wFO/p77bvje9w71DvLe8Z7xvvHu8R7vfu4O7U7tLu2+7m7uPu0u7E7sbuzu7L7sXuze7h7u3u8O747wjvEO8F7vfu9+8F7xPvF+8R7wjvCe8k71vvou/j8AnwCO/i763ve+9C7uHuUO2x7Tbs7+zF7JjsW+wU68zriOtH6wnq0OqY6mHqJunl6ZvpTOj+6L3ohuhM6AXnued15zrm++a25nXmP+YK5c7llOVk5TnlCuTV5J/kZuQo4+njseN/41HjJuL+4tPim+JV4gXhquFF4OHgi+A/3/Pfp99h3x7e2d6i3pjett7O3rreh95O3gDde9zX3F3cN9w+3DfcFdv02+Lb0Nu226HbmtuW24nbedtx22/bZNtK2y7bI9s322Hbh9uQ23jbWttY24Tb1Nwz3JTc9N1a3b7eBt4c3gzd+d4C3iPeS95z3qTe6N9G373gQ+DG4TThj+Hg4ividOLG4y/jseRA5Nblc+YK5obm2ucT50Xnfue/6BDodujs6WTp2upS6tLrWuvx7JrtSO3h7lXutO8a75XwFvCW8R/xvfJj8vTzafPb9GT1CPW09lb25fdc97/4IviR+PT5Gvjt+J34kPkJ+fL66PuY+//8Zv0R/gf/HgAyAUECSgM0A94EPQRtBJkE3wU5BYwFxwX8BkkGsQcaB3QHzQguCIkIzAkCCUIJjwnYChYKVQqbCt4LGAtQC40LywwHDEkMlAziDS4Nfg3WDi0OfA7MDygPjQ/rEDsQfhCwENcRCxFiEdkSShKaEssS9BMcEzETIBLmEpgSWhJZEqgTNxPbFH0VFhWVFc8VsRVyFXIV4xaTFyQXXhdUFz0XOBcwFvEWaRXMFXoVnRYGFmEWiRaPFpQWpBa8Fs0WxharFqMWyxcCFwgW3hbJFvMXLhcyFwMW2RbOFrcWbBX/FaMVcxVhFUsVHhT0FQwVlxaKF50YgxkRGUUZPRkvGVQZvhpRGuobfBv+HF0cjxy1HQUdmx5UHvEfTB90H5MfwB/qH/IfyR99HyQeyx56HkceUB6cHwofXB9mHzIe8h7GHpkeQx3DHUUc9BzQHLgclhx2HHUcpBz4HVIdmh3QHgQeOx5uHpoeyB7+HzMfXR96H4wflB+TH4gfch9SHzEfFx7+Htoerx6DHkcd1x0xHHQboRqNGTwYHhfBGCgYuBjeGJ0YbBibGQwZahmFGXAZXhlmGXEZVhkMGLEYYhgeF9oXmhdrF0YXFhbSFocWQBX+FcEVjxVlFTEU6hSfFGcUQxQgE+sTpxNnEzwTIRMFEtMShhItEeMRrhGIEWQRQREkEQ8Q+BDVEKcQdhBHEBwP8g/QD7oPrQ+YD3APOw8DDsYOgQ48DggN7g3bDbgNfw0/DQQM1AyrDIQMVAweC/ALzgutC4ILYwtoC4cLjQtcCw0KyQqfCogKgQqLCpQKfQpMCh8KCwn9Cd4JsgmHCV4JLAjwCLUIhQhfCEEIKQgQB/YH3gfPB8QHtAegB4wHdgdWBzoHOwdjB4gHeAc0BvYG6wcEBxEHCgcRBzIHRgcpBvQG2QbcBtMGogZoBkwGVAZnBnQGfwaHBosGjwaTBpEGhQZ3BnEGcAZrBmoGegaYBqwGrgasBrIGtgatBpkGgwZoBkQGIQYRBhUGFgYGBeoF0AW5BaEFhwVuBVsFUwVcBXgFmgWoBZgFdAVUBUYFRgVIBUgFSQVMBVEFUwVMBTwFLgUsBTcFPAUtBRIE/wT8BPwE7wTWBL8EtwS/BM0E1ATOBL4ErwSlBJsEjQR7BGcEUwQ8BCcEFQQDA/AD3APMA7wDqAOSA3kDXAM2AwgC3wLBAq8CnQKJAnECWAI9Ah4B/QHeAcMBrAGTAXgBWwE+ASUBDwD4AN4AwACgAH8AXgA8ABv//v/k/8n/qv+K/2n/SP8m/wP+4v7E/qf+if5p/kX+Iv4F/fD93f3K/bj9pv2Q/XD9S/0r/RD89PzS/LD8lvyC/G/8XPxG/C78Evv0+9b7uPuc+4X7dftn+1X7Qfsw+yX7G/sN+vr64frI+rL6oPqN+nj6YPpN+j76MPoi+hT6Bvn5+ev53vnU+cr5vfmr+Zb5gflw+WX5XvlV+Ub5NPkn+SL5Ifke+Rr5F/kX+Rf5FvkU+Rb5Gfkc+R75Ivkn+Sv5Lvky+Tb5PPlD+Uv5VPlb+WX5cfl9+Yf5j/mZ+ab5sPm4+cL5z/nd+ef58Pn6+gb6EPoY+h76I/oo+i36Mvo3+j36RfpN+lH6VfpZ+mD6Zfpp+mz6b/pv+mz6afpp+mr6bPpt+m36a/pp+mv6bvpu+mr6Zfph+l76Xvpi+mf6bPpy+nr6f/p9+nv6f/qH+o36kPqU+pr6nfqc+qH6rPq3+r36xPrO+tf64fry+wb7FPsb+yb7OvtR+2T7dvuK+577sfvL++n8BPwa/Db8Wfx3/Iz8pvzM/PP9FP03/WX9lf29/eb+GP5H/mv+k/7K/wP/Lf9W/5H/zf/yAAsANgBqAIsAmACiAIwAMv/RAAABCwKRA+4E3wWTBjkGxAcWBx8G3gZjBdsFbAUMBJwEKwPqA+ID7QPxBAcESQSpBQUFVQWqBg0GewbsB1UHrAfsCBwIPwhLCEEILggjCCAIIQglCCMICQfSB48HWgc6ByYHDwblBpwGOgXUBXsFLATcBJAEUwQdA+MDpwNyAz4C+gKeAisBpgEOAG//3P9d/u3+iP4y/fD9w/2z/cb97f4A/eX9sv2Z/av9wf2q/WD9D/zZ/Lb8g/wt+8T7YfsK+rD6RvnP+V34//i1+HP4Mff399n34/gJ+C/4Ofgi9/j30ve396T3kPd993D3aPdj9133VvdL9zn3IfcC9tH2h/Y19gP2BPYl9kT2WvZt9nr2bPY19en1ovVw9VT1TfVa9XT1kPWr9cz1/PY+9oj21Pcd9133i/eq98b38/g1+Iv48/lt+eH6LfpF+lL6iPrs+1n7sPv5/ET8h/yv/L38yfzW/NH8sfyJ/Hv8kvy+/Ob8+Pzr/L/8h/xm/Hf8uP0N/Vb9fP1+/W39Zf1x/YP9hf15/Xn9lf3G/fv+J/5K/mP+dP5//of+i/6M/pH+nv6y/sf+4P8B/yX/Q/9c/3b/lf+y/8z/5f/9ABEAIwA/AGUAjgCzANcBAgEzAWMBjAGuAcsB6AIIAi0CVQKAArAC5gMdA1MDiAO8A+sEEwQ3BF0EhASrBNME/QUoBVMFfQWmBcsF6gYIBiUGQwZgBnsGlAasBsgG6QcPBzAHSQdcB2wHcgdtB2IHWgdVB08HSAdCBz8HPQc6BzQHKwckByAHHwccBxgHFgcWBxMHDQcGBwAG+QbvBugG6AboBuQG4AbiBuMG4AbfBuoG+gcCBv0G+Ab5BvoG9QbqBuAG2AbPBqwGoAaIBmUGQQYcBfUFzQWoBYIFUQUWBNwErgSJBGcESQQxBBsD/wPfA7sDmwOCA3ADXANEAysDGAMKAv8C9wLxAuECuAJ7AjoCAgHSAa0BngGrAdICBgIsAhwByQFgASkBPgFxAYcBdgFWATgBGgD8AOIAxACWAFMACv/L/6T/lf+K/13+/f6B/gn9o/1T/Rv89PzF/Hz8KPvl+7f7jPtb+y77Bvrb+q/6kfqD+nr6cPpj+kn6EvnG+Yb5bPly+Xv5cPlO+Sv5Ivk1+Ur5TflP+WP5e/mF+ZD5t/nk+fb6CPpi+vr7UvsQ+nf6Ffod+kv6XPpO+jr6KvoZ+gb53PmJ+SH41Pi0+Jz4cPg/+CX4Ivgt+E/4kvjb+Pr45fi6+KT4t/jm+RP5GPje+Gn34fd39z73F/bC9iT1ZPTH9F/0B/Og8z3y//Lf8rLyXPHr8X7xJ/Dg8KDwafBB8CvwFu/178vvpO+E72bvTe9G703vUO9A7yDvAe7v7vHvA+8R7wXu6u7d7uXu7e7l7t/u8O8I7xHvEe8f7zjvP+8w7yXvLO8870nvVu9g71nvSe9V75Tv7fAu8D3wI+/378vvp++C7z/uyu4y7aPtPez87MjsjexJ7APrv+t96zzq/erD6o/qWeoa6dLph+lB6QPoyOiI6EPn/+fA54DnOebw5rDmeOY95fvlwOWU5W7lQOUG5MnkkeRa5CLj7OO544zjZuND4xni4OKa4krh7+GJ4SXgz+CD4Djf6t+f31jfF97z3v3fJt883yHe5N6b3jfdp90K3J7cfNx93G/cTtwv3BzcCtv12+Tb3tvZ28/bxdu/27rbqduJ22jbWNtn24jbo9uh24rbetuP28/cLdyR3OvdP92W3eveJ9403hzeBd4L3i/eWt6F3rjfAt9p3+ngcuDv4VLhn+Hi4ificeLI4zbjt+RB5NDlYOXp5lnmpeba5w/nUuej6AXodejt6V7pyOo06rDrPOvY7IPtNe3T7kbum+7y72Hv3PBX8N/xhfIz8sLzKfOP9Bz0y/V29gz2l/cg96P4HPiN+Oz5GvkA+LX4iPjD+Xb6Yvsv+7L8DvyE/TX+Ff8QACABPgJPAy8DzQQzBHsExQUdBXcFvgX1BjcGlAb5B1IHoAf2CFAIogjoCS4Jdgm3Ce4KLAp1Cr4K9wslC1gLlwvdDCQMaQysDPINPQ2PDd8OLA6BDuIPRw+nD/0QRxCAELAQ8BFREcQSIhJXEngSoxLVEuwSzxKHEkASJRJKEq0TPBPkFJIVKBWGFZoVdRVLFU8VkhX+FmwWvhbrFwQXFRcPFskWOBWaFUwVcBXPFhgWOBZLFmkWjBaoFrwWwxa5Fq8WtxbJFsQWpRaWFqwWyRbDFqoWqRbAFrIWRhWMFM0UThQfFCUUOhRXFJMVEBXRFrgXjRgXGDwYJBgrGJkZWhoYGpEa0BsBGzMbWxt7G7ccKBy6HTcdgh2vHekeOR6CHqketB66HrwepR5zHkceUx6vH0EfxB/zH8cfdx85Hv8ejh3dHSgcuRyQHHccPxv0G8Ub2hwrHI0c2x0VHVUdph33Hjsedh6zHvAfJh9TH3oflh+gH5ofiB9vH1gfQB8dHuwewR6tHpQeMR1mHFsbNBnhGFoXCBaPFyQYNBjrGPoYvRi4GQoZdBmsGasZnhmpGbwZqxlmGQMYpRhWGA8X0heoF4kXYRcjFtkWkBZMFg8V2hWqFXYVNRTtFK0UeRRIFBIT1xOlE4ITZBM9EwIStBJgEhUR3BGzEZERaxFDESERBhDrEMcQmxBrED4QEw/wD9wPzg+4D5IPYQ8uDvUOsg5sDjYOFw4ADdoNnw1cDSEM8AzFDJsMcAxFDCEMAQvcC7ELkQuIC4kLeAtOCyILAArhCrsKogqmCrEKmwpgCiYKCwoACeUJuAmKCWUJOwkHCM8InQh1CFUIPAglCA4H+QfsB+IH0we+B6YHhwdgBz0HOwdgB4YHeQc1Bu8G1gbiBvEG/wciB1gHcAdKBwgG3gbUBr4GjQZfBlQGZAZxBnUGewaEBokGigaMBo8GjQaLBowGiwZ/BnUGfwaaBqsGqgalBqwGtgavBpgGfgZlBkkGLQYYBg4GBgX5BeUFzAWxBZoFiQV7BWkFWAVVBWYFfwWMBX8FYAVCBTIFMAUxBS4FKQUoBS8FNgUyBSMFEgUNBRMFFgUPBP8E8gTvBO8E5gTPBLEElwSNBJUEowSoBKEEkgSFBHcEZAROBDoEJgQSA/0D6QPXA8UDtAOlA5gDiQN5A2QDRwMgAvECxgKkAo0CegJpAlYCQAIkAggB6wHRAbgBoAGKAXQBXAFEASsBFAD7AN4AvwCfAH4AXgA9AB4ABP/t/9T/tv+V/3P/Uf8v/w3+7f7O/q7+jv5s/kj+I/4E/e792v3F/bD9nv2L/XH9UP0y/Rj8//zg/MD8o/yK/HX8YfxN/Df8HfwA++P7x/ut+5j7ivt6+2X7Tvs8+zH7Kfsc+wn68PrX+sP6s/qk+pD6efpj+lP6Rvo6+i36H/oQ+gL5+fny+ev54PnR+b75qvmY+Yv5gPl0+WT5U/lG+UD5Pfk7+Tf5Nfk1+TX5Nvk4+Tv5Pfk/+UH5RflJ+Uz5T/lT+Vf5Xflk+Wz5dPl9+Yf5lPmf+ab5qvmx+b75zfnb+ej59/oG+hH6Gfoi+i36OPo/+kT6SvpQ+lT6VfpW+lz6Zvpv+nP6dfp4+nv6fvp/+oL6hfqD+n76evp2+nX6dvp5+nn6dvp0+nb6evp8+nj6cfpp+mL6Xfpf+mT6aPpv+nr6gvqC+n/6gvqI+ov6ivqM+pP6mPqZ+p76qPqx+rT6ufrD+s361vrk+vj7CfsS+xz7LftB+1P7ZPt6+4/7ovu5+9b78fwJ/CP8RPxh/Hn8lPy5/N/9Af0m/Vb9hP2p/dH+A/4z/ln+g/69/vX/G/8//3T/rP/O/+kAGQBVAHwAigCLAGL/9/+c//MBOgLwBFgFOQXYBnMG+gdCBzgG1gYvBXgE7ASWBFMEEgPjA88DyAPOA/gESwSnBPAFMAWABeUGVAbEBy0HhAfCB/MIHwg9CD8ILggdCBgIIAgxCDoIJQfsB6QHbgdWB1MHTAcrBuYGgwYaBbwFawUgBN0EogRlBCED3wOrA3oDPALnAngB7wFMAJ8AAP97/wv+rP5i/in9//3n/ez+Bf4U/f390f25/cb91/27/Wr9DPzK/J/8ZvwJ+5X7Ifq7+l76BPms+Vb5CPjE+IX4Q/gE99734/gI+C34MvgT9+H3s/eV94b3fPd09273bPdo91/3U/dJ9z73LvcQ9tr2ivY49gv2F/ZD9mj2ePZ/9oP2bvYy9d/1lPVk9VT1X/V/9aX1wPXP9eX2EfZU9pz22/cO9z73bvec98b39/g4+I349fln+dH6Gvo9+lz6nvsG+3D7wfwC/Ef8ivy3/Mr82Pzr/PP85PzJ/Lv8wfzS/Of89/zy/M38mPx3/IL8rPzb/QD9Gf0m/Sb9Jv0y/Un9Wv1h/Wz9iP2z/eH+Cv4u/kn+Wf5g/mf+b/53/oL+kf6k/rf+zf7p/wr/KP9E/2D/fP+T/6n/wP/Y/+z//gAZAD8AZwCMALIA4AERAT0BYQGDAaYBzAHzAh4CSQJ3AqYC2QMKAzoDaQOZA8gD8gQaBEQEcASeBMwE+wUrBVsFhwWsBcwF5QX8BhMGLQZJBmMGewaUBrQG3AcDByIHOgdOB1wHXwdVB0gHQAc9BzsHOAc1BzUHNwc2BzEHJQcaBxUHFQcTBw8HCgcGBv4G9QbuBuoG4wbYBtMG1AbUBs8GzQbUBtkG2AbWBt4G5wbnBt4G2QbcBt8G2wbSBscGvAazBpwGjwZzBk0GKAYCBdQFoQVyBUYFFQTgBLAEiQRnBEMEIgQGA+0D0gO3A54DhgNvA1sDRwMxAxoDCgL+AvIC6QLmAuUC1QKzAowCZQI3Af0BxQGmAbMB6gIqAjwCAQGcAVkBXQGFAZoBjgF1AVkBOQEUAPQA2QC1AIIARwAR/+r/1f/C/5T/O/7F/lD97P2e/Wj9P/0L/L38bPw1/Bb78/vC+437X/sy+wT63Pq8+qH6ivp4+mD6Mfnw+bv5p/mo+aj5mfl8+WD5VPlb+Wb5avlx+YT5lvmW+Zr5vvnv+gX6D/pP+s37Jfr7+nH6Bfn++jf6Y/pj+kf6LPol+iX5/vmX+Rf4vvig+JH4bPg9+CD4IPg6+Gz4qPjN+Mb4p/iU+J74uvjh+Qn5Fvjd+FX3s/dD9x33AfaZ9dz1HfSt9Hv0M/Ox8yby0PKr8oDyL/HI8WvxIfDj8Knwc/BK8DDwHfAF7+Pvv++g74rvgO+C74bvfu9l70PvJO8P7w3vGu8g7wzu8e7t7wLvDu8E7wDvFO8r7y/vMu9K72fvae9Z71jvaO9v73Dvg++k76Tvdu9U73fvzPAS8CbwGfAF7+/v1++975PvP+697intqe1K7QHsvex57Dfr+Ou563frM+rz6rvqh+pM6gnpxOmC6UPpA+jB6IHoRegH58Lndecq5ujmrOZs5ivl9OXM5ablc+U25Pnkw+SQ5FzkJePy48rjrOOP42PjI+LY4oniM+HS4W/hFeDE4HXgKd/m37Dfi9+B35HfpN+Z32rfJ97W3mXd0t1E3OvczNy/3Kbcgtxk3E/cPNwt3CTcINwa3BHcCdwC2/Tb2Nux24vbeduB25fbpdug25Pbl9u+3AjcZ9zH3RndY92x3fzeLN4s3gvd8t4B3jXect6s3ujfNt+g4CDgpeEY4XHhteHz4jTigOLa40TjveQ+5MXlTOXJ5i3mc+aq5ujnN+eU5/3ocejq6Vvpwuoq6qPrL+vI7GntEO2p7h3ub+7A7yXvl/AM8JXxQ/H88ozy6fNJ89v0kfU69cL2RfbY93L3+/hq+Lv46Pjl+Ln4i/iX+Qj50vqx+177zvwv/LH9Wv4c/vD/2gDbAeYC4gOzBEYEqQT+BVUFoQXYBhAGYgbKBysHewfJCCIIegjKCRMJWQmZCdQKFgpjCqoK2wr7CyMLYwuzDAEMRAx/DMENDg1gDa4N+Q5MDqoPCw9mD7oQBRBGEIQQzxExEZUR2hH8EhYSRhKCEqESiRJNEiMSKxJhErYTLBPRFJEVMBV1FWQVNxUhFTAVWRWYFe8WThaXFr4W0RbNFpYWIhWiFWYVgxXDFe0WARYfFk4WdxaQFqkWxhbTFscWshanFqMWmBaHFnYWYRZCFikWMBZPFk4V6BUHE+gS9RKAEpMS9RNrE+UUeBU+FioW/xduF1wXGhc0F/cZGhoJGmwaZxpWGmkalhrEGvcbPxuSG84b4BvjHAQcSRyWHNMdEh1rHc0eDR4fHiYeWB7VH4sgNiCJIG0gFh/JH4UfGR5wHcEdTR0WHOQciRwMG5kbWRtaG4MbthvqHDYcpB0lHaEeCx5kHqoe4B8QH0MfcB+MH5sfqB+yH7Afkx9WHwke1R7THtUech1rG/EaYRjfF2IWIRWiFjkXihi+GTwZGRjbGOcZPBmYGcoZ1RnYGdsZyBmMGTQY2BiFGDwX/xfWF70XoBdwFywW5BafFmEWJxXvFbcVfBU8FPgUsxRyFDMT+hPLE6UTfxNRExoS3BKYElASDRHaEbQRixFYESYRBBDuENYQsRCFEFkQNBAVD/0P5g/KD6gPfw9RDxcO0w6QDlsONg4SDeINqQ1zDUUNHwz5DNQMsQySDHQMUwwsDAIL2wu4C5ALYwtBCzkLPAsqCvgKyAq5CrsKoQpiCiMKBQn+CesJwgmUCW8JSwkhCPAIvgiSCG8IVwhFCDIIHQgJB/cH5QfRB7oHnAdzB00HQwdcB3oHcwc/BwQG5gblBu0HAQcuB2QHdgdQBxEG6AbVBrgGiwZrBmsGeQZ7BnYGewaGBooGhwaIBpAGlgaaBp0GmwaNBn8GhAaYBqUGoAabBqcGtwayBpUGdwZnBmIGVgY7BhcF+AXlBdkFyAWwBZwFlQWSBYYFcwVkBWMFaAVnBVoFQwUsBR4FGgUcBRkFEQUMBQwFDQUJBP8E9gTxBO8E7QTnBN4E1QTRBNIE0gTGBKsEhgRpBGAEaQR0BHUEbARdBEwEOAQkBBEEAAPuA9oDxQOvA5kDhANwA2ADVANKAz0DJgMCAtgCrwKNAnICXwJQAj8CKQIOAfIB2QHBAacBjgF6AWkBVwFBASgBDgDyANQAtQCUAHUAVwA5AB4AB//y/9r/v/+f/3//Xf87/xr++/7c/rr+lv5z/k/+Kv4J/e/92f3C/ar9lf2D/Wz9Uf01/R39Bvzs/M78sPyU/Hz8aPxX/EL8KfwP+/X73fvG+7X7qPuY+3/7YvtM+z77Nfso+xX6/frk+s/6wPqz+qL6jPp2+mX6WfpP+kX6N/on+hr6E/oP+gj5/Pnu+d75zfm9+a/5ovmU+YT5dPln+V75WflX+Vb5VflV+Vb5Wvld+V75Xvle+V/5Yflk+Wf5bPly+Xn5fvmE+Yv5k/mc+af5tfnB+cf5yPnM+dj56vn8+g36Hvot+jr6Q/pK+lP6XPpj+mj6bfpz+nj6ePp4+n36h/qR+pb6mPqZ+pj6lvqV+pb6l/qU+o/6ivqG+oP6gvqD+oL6f/p7+nz6f/qB+oD6ffp1+mr6Y/pk+mn6bfpy+nv6hPqG+oP6h/qN+o36h/qG+o76lvqY+pz6pfqs+q36sfq9+sn60fra+ur6+/sG+xH7Ivs1+0P7U/tp+4D7k/uo+8P74Pv5/BL8MPxO/Gf8g/yl/Mr87f0U/UL9bP2P/bj97v4i/kv+dv6u/uX/Cv8r/1z/kP+1/9gADwBKAGsAcQBlACr/tP9r//IBawMvBHkFKgWnBj4G4gdhB5AHRgZ5BXIEqQRVBEgEPAQZA/AD1APXBAQETQSRBMQFAAVZBcMGLAaUBv0HWwegB9IH/wglCDQILAggCB8ILghECFIIRQgUB88Hkwd2B3YHegdjByIGvwZWBfgFqgVlBSYE6wSpBGAEGgPiA7ADdAMkAroCMgGOAOAAQP+4/0f+6/6l/nL+SP4o/hz+H/4d/gL91/25/bT9sf2I/TP8z/yD/E/8FPu/+1v6+Pqh+lL6CvnH+YT5P/j8+L34efg2+Ab3/fgR+CX4IfgE99r3tPea94z3hPd793X3c/dx92f3WfdN90X3N/cc9un2nvZQ9ib2MfZb9nn2fPZ19m/2XPYq9eH1nfVx9WX1efWj9c315fXt9f72LPZ09rz28PcT9zX3YveV98T39Pgx+Ib47vlb+br6Afo0+mn6uPsf+4D7x/wE/Ej8j/zA/NP83/zx/QH9Bf0E/Qn9Ev0b/Sn9Q/1T/T39AfzF/Kz8sPy8/MX80/zn/PX8/v0N/Sb9Pv1O/V79ef2d/cL95P4H/ib+Of4//kP+S/5X/mX+df6I/pv+sf7K/ub/Bf8n/0j/ZP94/4n/nf+2/8z/4v/9AB8ARABnAI8AvgDtARIBMwFVAX4BqwHXAgQCMQJeAowCvQLvAyADTwOAA7AD3QQHBDEEXwSOBLwE7AUdBUwFdgWYBbUFzQXiBfgGEQYtBkkGYwZ/BqQGzwb1Bw4HIAcxBz8HQwc8BzMHMAcwBzEHMQcwBzAHMQcwByoHHAcOBwcHBAcBBvsG9gbwBucG3AbTBssGwwa7BrgGuAa0BqwGqgayBrkGtwayBrQGtga0BrIGuQbFBswGzAbHBr8GsQalBpQGfQZaBjMGEwXyBcAFgQVGBRUE6AS6BJAEawRDBBsD+wPmA9EDtgOcA4gDdgNhA0wDOQMkAwwC+wLxAuoC4gLeAuAC3gLUAsgCuwKgAm4CKQHtAdcB9AIyAl4CSwIBAbkBngGlAa0BpwGZAYMBYAE2ARQA/QDnAMoApQB5AEoAHv/0/7//cf8T/rX+Xv4S/dD9lf1U/Qb8wfyZ/IT8Zfwz+/r7yPuX+2T7M/sF+tr6tPqb+oP6Wvoj+ff54fnX+cr5vPmu+Z75jvmE+YP5iPmV+af5sPmm+aD5vPnu+g36G/pG+qH66PrQ+mj6DfoD+jr6cvp/+mT6RvpC+kr6Jvm4+Sr4wPiV+IT4aPhC+CX4Ifg++Hj4q/ir+H34W/hw+Kj41/jw+QX5CvjQ+D/3kfcd9vT2yfZG9X302fSe9JP0T/O38xfyuPKN8lzyCfGp8VfxGfDl8LXwiPBf8EDwLPAZ7/3v3e/B77Dvre+u76jvlO9572LvT+8/7zfvOO8y7xju/+8D7x3vK+8k7yXvO+9M70vvUu9z75Dvj++I75vvru+d74Dvlu/Y7+zvou9B7yfvXe+h78vv5e/57/3v7u/d78vvme8y7qfuHe2q7Uvs+eyx7G/sMuv367rrdesu6u3qt+qC6kbqBenB6X7pO+j76MLoiuhK5//nsOdm5yTm5Oaj5mbmM+YH5drlpOVp5TDk/eTK5JTkX+Qx5A/j9+PZ46fjYOMT4sfid+Ib4bnhW+ED4LLgbOA54CLgJOA14D/gJ9/s36LfWd8B3oTd8t163TjdG9z93NfcstyV3H3cZ9xb3FncWNxT3E3cRdw43CHb/dvU27Dbn9ul27PbuNuz27Hbwdvr3DDchtzf3S7ddt3C3gneL94i3fnd5d4C3kfel97g3ybfd9/f4Frg1eE/4ZHh0+IQ4lLin+L4413jzORE5MPlReW85hvmYeac5t7nL+eL5/HoYuje6Vjpx+oz6qrrM+vB7E7s2+1i7dTuLO5/7t/vTu/J8GDxHPHY8mLyt/MV86/0avUN9Yf1//aR9zH3wvgz+IP4t/jP+Mn4rPiY+MX5Vfoq+vr7lvwP/If9BP15/ef+cP89AF0BswL6A+4EfgTYBSsFfAW8BfIGOwagBwgHXwevCAUIXgisCO8JMQl1CbkKAQpOCpIKwArgCwgLRwuYC+YMJAxbDJgM4w00DYINzQ4aDnAOxw8bD24PwRAQEFwQqRD7EUYRexGbEbsR7RIqElMSVxJHEkgSZxKVEsUTFBOkFGMVARU5FRUU3xTJFNMU8BUrFY8WARZQFmwWbRZnFksWDRXMFbYVyxXiFeAV3xX9FjEWVBZiFncWnBa6FrcWoxaaFqMWoxaGFlMWHhXwFcsVtBW3FbgVahSDExURqRDbEOcRhxJRExYT7BT0FhUW8RcpFsAWRBZuF3kY6hoBGmEaQhoYGiQaYBqoGukbIhtNG1gbPBsVGw4bNBtwG6wb+RxoHOkdUh2aHd4eRh7lH68gcSDlIOwgqyBlIC4f5B9zHvgelh5KHfUdghzsHDgbgBruGp8ajxqrGu8bZBwDHLcdYx3uHk8ekB7MHwwfQx9mH4Mfrx/gH/Yf3h+gH1kfLh8jHv0eUhzpGwMZKxe1FpMVtxVjFe4XPxiuGX8ZeBj/GK4Y1hlPGb8Z8hnwGdgZshl4GSsY2RiQGE8YGRf1F+MX0RetF3QXMBbwFrQWdBYyFfMVvBWCFUAU9RSrFGcUKhP0E8QTkxNeEycS9hLEEocSRBIJEd0RshF7EUIRFhD7EOIQwBCYEHQQVhA7EB0P+w/XD7YPlQ9qDzAO7w6yDoAOUQ4eDeYNsQ2JDW0NVQ07DR4NAQzlDMYMogx7DFQMKgv2C7gLgAtkC2cLbQtWCx0K4grFCroKnwpmCikKBwn/CfYJ2QmuCYQJXwk8CRUI5wi3CJAIdghkCFEIOAgcCAIH6QfSB74HpgeGB2YHVgdaB2QHXQdCByIHCwb/BvkHAgcgB0IHSQcrBwIG5gbSBrQGkgaCBocGjAaEBn0GhAaRBpEGiwaNBpoGpAanBqcGpQaaBowGigaSBpUGjQaNBqEGtwayBpAGbgZoBncGewZdBiQF8AXWBc8FxAWuBZ0FmgWdBZcFiAV5BW0FXwVPBT0FKwUaBQwFBwUHBQYE/gT1BOwE5wTkBOQE4wTcBM4EwQS3BLAEpwShBKMErASvBKAEfgRWBDsENAQ9BEUEQgQ1BCQEEwQEA/QD4gPPA7oDogOIA2sDUAM3AyQDFwMQAwoC/ALjAsECnQJ8AmECTgI/Ai8CGAH9AeIByQGuAZIBeQFmAVgBSAEzARgA/ADgAMYAqwCOAHIAVgA8ACIACf/y/9r/v/+i/4T/Zf9E/yP/A/7j/sH+nv58/lr+Nv4T/fT92f3A/af9kf19/Wj9UP03/SH9C/zy/Nj8u/ye/Ib8c/xi/E/8OPwf/An78/vf+8/7wvuw+5X7dvtc+0v7Pvsw+x37B/ru+tn6yfq9+q/6m/qG+nL6Zvpe+lj6TfpA+jX6L/oq+iH6FPoF+ff56fnb+c75wvmz+aT5lfmH+Xz5dvl0+XX5dPlz+Xf5fvmD+YL5ffl7+Xv5ffl++YH5iPmR+Zn5n/ml+av5svm6+cX50vne+eb56vnv+fr6DPof+jH6QfpR+mD6avpx+nf6fvqF+or6jfqS+pf6mvqc+p/6p/qv+rT6t/q3+rT6r/qs+qz6q/qn+qH6n/qe+pv6lvqT+o/6ifqD+oD6f/p/+oH6g/qB+nb6bPps+nP6d/p5+n/6hvqH+ob6ivqS+pH6ifqG+o76lvqY+pr6ofqn+qn6rfq5+sb6zfrU+uD67/r6+wf7Gfss+zr7Sftd+3P7hvuZ+7L7z/vp/AP8Ifw//Fj8c/yU/Lj83P0E/TD9WP17/af93/4V/j7+Zv6a/s/+9/8d/03/gP+p/9QADAA8AFAAUQBC//7/fv89/+IBeAM8BGME4AUwBbYGfAdbCAUICQcoBcYEqwROBHcEoQSLBEoEEAP9BBUERgR1BKME5gVKBbUGFAZxBtoHQAeHB7IH2QgCCCIILggzCD4IUAhjCG8IaQhJCA8H0AeoB6AHpgeTB1IG7gaHBjIF6wWoBWgFKQTlBJ0EVgQZA98DnQNKAuECXwHIASsAlgAQ/5n/N/7u/rv+k/50/l7+S/4x/gj92P2w/Zf9gP1S/QX8qvxc/B372/uM+zz6+frB+oj6TfoS+db5l/lW+RL4yfh++EP4Jvgg+Bv4Cffv99P3ufem95r3kfeG93z3ePd292/3YvdW90r3PPci9vf2uvZ49k/2T/Zn9nL2ZPZT9kz2Q/Yk9fH1uvWR9X/1i/Ww9dr19fYE9h32UPaW9tf3BPch9z/3Z/eU97z35Pgf+Hn46PlW+bP5+vo2+nj6zfsu+4T7wfv4/Dv8hPy4/ND83/z1/Q39H/0z/U79Zv11/Yj9rv3P/b/9c/0U/NP8uvy1/LX8vvzQ/OD86/z6/RP9K/08/Uz9Zv2H/aX9vv3b/fv+Ev4b/hz+Iv4s/jr+Sv5e/nT+jP6k/r7+3f8D/yv/TP9h/3H/hf+f/7n/0f/sAAsALABQAHoAqQDUAPYBFAE4AWMBjwG7AeYCEQI8AmgCmwLRAwgDPANvA6ID0gQABCwEWASFBK8E2AUDBSwFUAVvBYwFqQXEBd0F9wYUBjIGTwZsBo4GtAbTBucG9wcLByAHLgcyBzIHMgcxBy8HLAcqBygHJgciBxsHDwcCBvkG8gbqBuMG3gbZBtAGwwa1BqoGoQaaBpgGlAaIBnoGdQZ6Bn4GewZ4BnkGfQaDBpEGqAa8BsYGygbMBsYGtwakBpAGbAY/BhsGBwXvBbcFagUjBPEEyQShBHoEUQQhA/MD2QPRA8UDqQOLA3gDaQNWA0EDLgMZAwAC6wLjAuIC3QLXAtYC2gLdAuQC7ALqAtACnQJhAjYCNQJfApgCrwKOAk0CEQHrAdUBxwG6AaQBgAFaAT8BMAElARcBAwDhAKsAagAr/+//sP9w/y/+6/6b/kP97P2Z/VD9Gvz+/Or8yPyU/F/8L/wA+8v7lfth+y77BPrm+sn6nPpj+jL6Evn4+eL52fne+d/5zvm3+ar5rvm6+cb5xvm4+az5vPnl+g36KvpW+pX6wPqp+lr6EvoF+jH6bfqQ+or6cvpo+mj6Q/nb+U/42/ic+ID4bvha+ET4NvhG+Hb4mfiA+EH4J/hc+LX47fj6+P/4+/jA+DT3iPcJ9sX2dPXb9SH0p/SQ9JD0QvOm8xDyufKF8kHx4/GJ8UbxFfDs8MXwnvB48FrwRvA08Bvv+u/d78zvxe/A77Pvnu+L74Pvfu9072rvZu9f70zvOO8370XvTO9L71bvbe9373Lve++d77bvtu+/7+Tv8u+974HvoPAN8ETv8u9f7wTvBu8172nvne/E78rvve+/787vvu9u7vTud+4I7aPtSez67LPscew26/7rvutz6yvq8erA6orqRun96bXpcuk56QTozOiJ6Dzn7+eq52jnJebj5qfmceY+5grl1eWi5W/lO+UH5NPkpOR95F7kQ+Qe4+bjnuNU4wviu+Jf4f3hneFF4Pbgt+CV4JbgtuDb4N7gpeBF3+bfkd8p3preCd2q3YHdZd043Qbc49zL3LHcl9yM3IzcjNyG3IHcedxo3EzcKNwE2+jb3dvj2+3b7tvp2+3cAdwl3F3cqNz73Ufdjd3W3hbeM94h3fzd894c3mjevd8M31rfseAb4JPhB+Fn4bTh9uI04nTivuMW43nj4+RV5NDlUeXJ5i3meOa15vLnN+eJ5+XoUejN6VDpyuo86rfrP+vG7D3spu0Q7Xzt3+477p3vDe+V8EHxCvHC8jzyiPLr8430SfTh9U71vPZJ9uX3dffr+Er4lfjP+PH47/jQ+Mn5Fvm++oz7S/vu/Hn83v0P/R79S/3a/u4AbwIJA1QEHgSKBN8FPgWWBd4GKAaEBukHQweWB+sIQQiKCMgJBwlOCZkJ4gooCmkKoQrTCwgLRwuOC9EMDAxADHgMtwz/DUoNlA3dDicOcw7DDxoPeA/WEC4QdxC0EOgRGRFIEXYRpxHaEgkSMhJYEoESqBLBEtES/RNrFAkUkhTJFLIUfBROFDYURxSYFSEVqRX3FgMV9BXpFd8V1RXaFfoWGRYQFeYVyhXdFggWIRYiFikWRRZlFnQWdxaDFpQWjxZjFiQV8RXMFZ0VYBU3FS4U+BQZEnkQqw+FD3AQJxEsEkATdhTdFjQXABbtFjcVpBX0FzsY0BntGk0aOBoZGikaahrEGx0bZRuRG5kbeRtFGyMbKRtLG3Ubrhv+HFwctR0LHXId9x6dH1wgHCCuIO4g7CDWIMIgpCBwIC8f6B+THzIeyh5HHXscYBs8GmkaCBn6Ghwabxr8G7ocgh0tHa4eGB6FHvEfPB9aH3Ifpx/sIBUgDB/sH88frh9mHrwdfBujGYkXuxaOFe4VnBWbFjEXdBj0GfYaBhlfGLYYlxkDGY4Z3BneGbgZghk/GPEYphhpGDoYFhgBF/kX8BfUF58XYRcpFvQWthZvFiwV9hXBFYIVOhT0FLEUbxQwE/YTvROAE0ITDhLiErISehJCEhIR5RGwEXgRRxEfEPsQ1xC1EJYQehBdEDsQEg/pD8YPpA96D0MPCQ7UDqQObw41Df0Nzw2uDZgNhw1yDVgNOg0cDPgM0AypDIcMZAw2DAQL3AvEC64LjAtZCyAK8grWCsAKoQpvCjgKEgoHCgcJ+wnVCaIJcwlRCTQJDgjgCLYIlgh9CGMIRwgrCA4H8AfSB7sHpweRB3gHYgdSB0cHQQdBB0IHNgccBwEG+AcCBw8HDAb7BuoG3AbJBrEGoQahBqcGoQaPBogGkgadBpgGjgaSBqMGrwaxBrAGsgavBqMGlQaJBnwGcgZ5BpQGrgapBoMGXQZTBmMGawZSBh4F7gXXBc8FwgWrBZoFlwWXBZEFhQV5BWwFVwU9BSYFEwUDBPUE7gTvBPAE6wTgBNQEzwTUBOAE4wTSBLUEnASPBIgEfQR1BHcEgQSKBIcEcwRQBC0EFwQXBCAEIAQTBAAD8wPoA9gDwAOmA44DdANXAzgDHwMKAvcC5gLcAtYCzwK+AqUChwJqAlICPwIwAiACCwHyAdYBuQGbAX4BZwFUAUQBMwEfAQcA7ADUAL4AqQCSAHkAYQBHACwAEf/1/9n/u/+d/4H/Zf9H/yX/Av7h/sH+ov6E/mb+RP4g/fz93P3A/ab9j/16/WT9Tv04/SP9Dfz2/N38w/yn/I/8fPxt/Fz8R/wy/B78Cfv0++L70/u/+6P7hPtq+1f7SPs4+yX7Dvr2+uL60/rH+rn6pvqR+nz6bfpn+mT6X/pW+k36R/pA+jf6Kvod+hD6A/n3+ev53/nS+cT5tvmp+Z35lfmT+ZP5kPmM+ZD5mvmi+aL5nfma+Zz5nvme+Z/5pfmv+bj5wPnH+c350/nZ+eL57Pn4+gP6DPoV+iP6NfpH+lb6Y/px+oD6jfqU+pj6nvql+qj6qvqt+rP6ufq9+sD6xfrK+s/60frQ+sz6x/rE+sT6wvq7+rX6tfq2+rX6r/qo+p/6lfqM+oT6fvp6+n36hfqI+oD6dvp1+nz6gfqC+oX6ifqJ+of6jPqU+pP6ivqH+o76lvqW+pf6nfql+qj6rPq2+sH6x/rO+tv66fry+v77EPsl+zX7QvtV+2r7fPuO+6b7wvvd+/n8F/w0/E38aPyI/K380fz4/SP9Tf1z/aH91v4I/i7+VP6F/rn+5v8S/0T/df+g/84AAgAmADAANQAy//H/Z/8W/7ABQgMEBCUEiwStBQIFwgbnCAoIbQecBgsEywR9BNgFJQUNBLEEWAQoBCgESQR2BKoE8gVSBbQGCwZjBswHLgdtB4sHqwfeCBYIPwhZCGwIfAiGCIwIjQh/CFcIIQf2B+kH6AfOB4YHIQbBBnYGMgXpBZ4FWQUXBNMEkARQBA4DwANhAvQCegH4AXQA7wBr/+7/hv85/wT+3/7F/q7+jv5f/iT96f20/Yr9Z/0+/QX8vfx0/Cv72vuF+z77Evr1+tH6n/po+jL5+fm5+W35GPjB+Hz4UPgz+Bj3+/fg98v3t/en9533lfeK9373ePd293H3aPdd90/3PPcj9wL21fai9nv2b/Zw9mL2RfYu9i32MPYh9f711PWu9ZX1lPWv9db1+PYW9j/2d/az9uT3Cvcr9073dfeY97b32PgT+HL45/la+bv6CPpJ+o363vs2+3/7svvg/B78Z/yh/MX84f0B/SD9OP1R/XP9lf2t/cj98v4W/gf9sf1A/Or8xvzB/MX8zfzY/N/85Pzv/QT9Gv0q/Tr9U/1x/Yn9m/2v/cv95f3x/fT9+P4B/g/+If42/k/+af6A/pf+tP7a/wP/KP9C/1f/b/+L/6f/wf/c//oAHABCAG0AmgDDAOYBBwEtAVUBfwGnAdEB+wIjAk0CfQK0Au0DIwNXA4sDvwPyBCQEVASCBKwE0gT1BRcFNgVTBW8FjgWtBcgF4QX7BhkGNwZTBm8GjQamBrsGzwbrBwsHJwc3BzwHOQcwByUHHQcZBxgHFQcQBwkHAQb3BuwG4AbSBscGvwa4BqwGnQaOBoMGegZ1BnEGZwZVBkUGQAZCBkUGRQZJBlMGYAZwBosGqgbABskG0QbYBtUGwwaqBoYGWQYlBgcGAgXuBakFSAT5BM4EsASPBGsEQgQOA9sDwAO/A7gDnAN7A2kDXQNKAzIDHQMKAvMC3wLYAtoC2QLTAtAC1ALcAugC+AMGAwYC8QLMAqcCmQK0AvIDKQMwAv8CrgJgAicCAwHpAcsBqAGJAXgBcAFpAWEBVgE7AQMAuABuADD//f/S/6n/cv8g/rf+S/3v/av9f/1j/UX9Gfzk/LX8j/xo/Dj8BPvO+5v7cftS+y769Pqr+mr6O/oW+fr59PoF+hL6B/nt+dr51/nc+eH53vnU+cn5y/nh+gf6OPpz+qz6w/qo+mv6M/oe+jf6bvqh+rH6nvqF+nD6Q/nm+Wn49/is+Ij4fvh/+Hf4Zfhh+HL4ePhQ+BP4CfhN+Kf43Pjo+O/46/iv+Cr3ivcH9qX2MPWO9O/0lfSB9Gf0B/N78wjyw/KE8ijxv/Fu8T7xHvD98NrwtfCT8HnwafBY8D3wG+/+7+rv3e/S78bvt++r76bvoO+T74Xvhu+Q75PviO9773Tvcu9675Lvq++v76bvsO/N797v3u/x8BzwHO/P74zvwvBV8KfwXO+57z3vFO8g70Tvbu9+72fvUu9u76Pvq+9n7wHupu5X7gHtp+1T7QTst+x17EDsBuu8627rMesB6srqguoz6evprel56UbpDOjG6HroNOf057Tnbuco5unmr+Z25j/mD+Xi5bHle+VI5Rzk9uTS5K/kiuRe5Cjj6eOk41fi/uKc4jnh3eGI4T/hC+D24QXhMuFg4WThI+C24Eff3t9a3rjeK93k3c/dsd113T3dIN0Q3Pbc29zQ3NDcy9zD3LzctNyg3IHcYtxH3DPcLNw03D3cPNw33D7cVNx03KLc5N0v3XTdr93p3hzeM94n3hXeH95O3pTe4N8s33/f4OBU4NHhQuGa4d/iHeJY4pXi2uMu44/j+ORq5OjlbOXp5lXmqObl5xXnSeeM5+DoRei86T7pvOo16rbrRuvP7DbsfuzJ7Sztne4I7mzu2e9l8Bzw6PGW8gTyT/K982j0HfSk9QP1bvX89pb3H/eY+Ar4dfjT+Rf5M/ki+Qj5H/mD+iL63PuY/D78pPy2/JL8g/zW/bf/JQDcAmgDcQP+BFwEyQVDBa8GDAZqBswHJgd3B8cIGQhlCKcI6AkwCXoJvwn9CjsKfArACwELPAt0C6wL5wwiDFgMjgzKDRENWw2jDecOLQ57DtEPLw+QD+sQMhBkEI0QwBD/ETwRahGPEb0R/hJJEocSqhKzErgS1RMcE4AT5hQxFEwUMBPoE6IToRQGFKUVLxVxFXgVaRVaFVEVYBWeFfgWNRYtFfUVyRXKFeAV6BXdFdQV3BXyFgsWJBY7FkUWLxX8FcYVphWUFWYVFhTTFMAUkRO3Ef8P+w6aDlsPDBAyEY0TGhS+FhUWpRZOFYkVLhXSF0kY1RnRGigaKxooGj8adhrKGywbghu9G9cbyxugG3EbWhtjG4AbqxvgHBkcVRyhHQgdgx4GHpcfOB/WIE8gmiDJIOQg6CDZIMAgmCBYIA4f0x+GHtYdpBw8Gxwaexo3GiMaPRqXGygbxhxQHMsdWh4NHr4fMR9aH3MftCAOIEQgRSAwIBcfyx8IHbAb3xnYF/UWixXCFXsVexWzFlsXnxk5GngaxBopGUwY1hjuGUUZghmJGW0ZOxj0GKMYWhglGAIX7hfsF/UX9RfcF6gXbxdAFxQW3BaYFlYWHhXpFa0VbhU0FPoUuBRyFDMT+RO6E3QTMxL/EtQSqRJ6EkkSFRHiEbARfxFNESAQ/hDkEMgQpRCAEFoQMhAID+APuA+KD1YPIw71DsYOkQ5dDjEODQ3sDdENuQ2fDX0NWQ03DRIM6AzBDKIMhAxmDFEMSgw6DAULsAtfCzMLHwsHCt8Krgp9CkwKJgoZCiQKKAoHCccJhgldCUUJKQkDCNsIuAiXCHQIVQg8CCIIAQffB8QHrweaB4IHaAdMBzgHOQdSB2sHYwc2BwQG7gbzBvwG/Ab4BvMG5gbOBrgGtgbEBsgGtwaeBpMGmwagBpgGjQaRBqEGrgazBroGxQbKBr8GpQaEBmcGWQZkBoIGmgaUBnEGRgYtBigGJwYbBgQF8AXlBdkFxAWsBZ0FmAWSBYIFbgVeBU4FOAUeBQUE8QTeBNAEywTPBNME0gTJBMAEwATQBOQE5QTKBKEEhgR8BHYEagRfBF4EYgRkBGQEXwROBC8EEgQHBAoECAP1A94D0APFA7EDkQNwA1UDPAMhAwkC+QLtAt0CxgKxAqQCngKTAoECaQJRAjwCKwIdAg4B/AHlAckBqgGMAXIBXAFJATYBJAESAP4A5wDOALcAogCMAHYAYQBLADMAGf/+/9//vf+a/3v/Yv9H/yb/Af7d/r7+o/6K/m/+T/4q/gP93/2//aX9jv13/WD9Sv03/SP9Dvz4/OH8yPyt/JX8gfxy/GP8UvxB/C/8GvwE+/D73vvJ+677k/t7+2f7VvtF+zD7GPsA+u363vrQ+sD6rfqY+oT6c/pr+mr6aPph+ln6U/pN+kb6PPox+ib6GvoP+gX5+vnt+eD51vnL+cD5uPm1+bP5q/mj+aT5r/m6+b35u/m7+b/5wfnB+cL5xvnN+db53/no+e759Pn5+gD6CPoS+h36K/o6+kv6Xvpw+n36hvqQ+p36qvqy+rf6u/rA+sT6xPrG+s361frb+t/64/rn+un66frn+uP63vra+tj61frO+sj6xvrH+sX6wPq4+q76ovqW+oz6gvp7+n36hvqO+or6gfqA+ob6ivqK+ov6jfqM+ov6jvqU+pP6jPqJ+o76lfqU+pT6m/ql+qv6r/q2+r36wvrL+tr66Prw+vn7Cfsd+y77PPtO+2L7c/uF+537ufvU+/D8Dvwr/ET8XvyA/KX8yPzs/RX9Qv1t/Zr9yv33/h3+Rv53/qv+2P8G/zj/Zv+O/7z/7gAOABYAIAAp//L/Y/74/2kA2gKaA9QESARLBFsE4wYIB2AIBAdmBgQE/wT0BXgFxwWTBRsErARqBFcEbwSdBNAFCwVVBasGAgZgBsQHGAdGB1sHfwfGCBkIWgiACJMInAihCKcIrwiuCJkIdAhUCEgIPwgYB8cHZAcOBscGfAYjBcsFgQVBBQMExgSHBEAD5gN6AwgClgInAbUBOgC3ADv/1v+N/1n/M/8Z/wH+2/6e/lb+Ef3R/Zr9cP1N/SX87vyq/Fz8Avum+1z7Nfsj+wv63/qs+nv6SfoI+bL5Tvju+KL4cPhJ+CL3/ffh9833ufen95z3l/eQ94b3fvd693X3bfdj91b3Q/cq9w726vbB9p/2jfZ/9mP2PfYm9if2LPYf9gH13/XA9ar1pvW89eD2BPYu9mT2oPbR9vD3C/cv91n3gfee97j33Pga+Hf45/lb+cT6Hfpm+qr69PtA+337o/vG+//8TfyV/Mj87v0U/TX9S/1h/YD9o/3A/dv+AP4e/g/9wf1U/Pv80vzN/Nf84vzp/Oj84/zm/PT9Bv0W/ST9Of1T/Wj9dv2F/Zv9s/3C/cf9zP3X/en9/f4V/i/+R/5d/nL+jf6v/tT++P8X/zT/U/9z/5L/rv/K/+kADAAzAFwAhQCtANQA/AEjAUkBbgGXAcMB7gIUAjoCZgKbAtMDCQM7A24DpAPaBBEERwR6BKgEzwTwBQ8FKwVFBV8FewWXBbAFxQXbBfgGGAY2BlEGbQaIBqEGugbZBv4HIAc2BzwHNQcjBxEHBAcABwEHAQb9BvcG7wblBtUGwgavBqAGlAaIBngGaQZeBlcGUgZOBkcGOQYoBh4GIAYlBisGMwZEBlkGbQaCBp0GtgbEBssG1QbeBtgGwAalBnQGRgYQBfgF/QXmBY0FFwTFBKgEmQR9BFwEOAQIA9QDswOsA6UDigNqA1sDUgM+AyADCAL4AucC1gLQAtMC1QLSAtIC1QLaAuIC8QMFAxQDFgMNAv8C/gMeA2EDqQPJA6gDVALyAqACaAI/AhgB8AHQAb8BtwGzAbABqQGQAVkBDgDEAIcAWAA0ABP/5P+W/y7+xP5s/ir9+f3N/Z39Zf0t/QP85vzK/Kb8ePxE/A373/u5+4r7Qfro+pv6Zfo8+hv6D/ob+ir6JvoS+gH5+/n6+fn59vnw+ef53fnf+fr6M/qA+sP63/rU+rL6jvp1+nX6lfrA+tD6uPqO+mb6NPnh+Xb5EfjI+KD4mfim+LD4pviS+H74Xfgj9/L3+fg3+Hz4pvjD+N742/iV+BL3g/cK9pn2EvV39PL0pPR09C7zvfNI8vryyfKF8hvxsPFp8UjxMvEW8PPwzvCt8Jrwj/B/8GPwRfAv8B/wD/AA7/Lv4e/Q78HvsO+Y74Xviu+m777vve+m75Lvke+p783v5u/k79vv5u//8AnwB/Aa8DrwK+/h77nwCvCe8OHwl/AL76Lvb+9e72Tvbu9R7w/u7+8j73PvfO8y7t/ute6W7lvuB+2y7V3tBOy37H7sSewB67HrcOs+6wPqtupn6iTp7um76YbpSukE6Lzoeug+5//nuOdx5y/m8+a45oPmVOYn5fTlvuWQ5WzlSuUj5Pfky+Sg5HLkPeP746bjQOLY4nfiH+HM4YjhY+Fh4X7hruHd4ePhp+E64L/gO9+c3u3ead413ireBN293YLdbN1h3UndMd0p3SndIN0R3QrdAdzq3Mrcr9yb3IzchtyN3JXcktyM3JbcsdzU3P3dN9163bPd3t4F3irePt5A3kbeY96W3s/fDN9T36ngEuCP4RLhgeHR4gziQuJ74rXi9eNC45/kB+R+5QXlkuYU5oPm2OcS5zXnWeeQ597oPeiq6SPpnuoY6p7rOOvK7C7sZOyb7Pntde3u7lLus+8x79zwn/FH8bfyD/KO80Hz7fRg9LD1GfWw9k720/dL98z4VPjP+Sz5Xvln+Vj5U/l0+cj6UvsH+7/8O/xa/Df8Evwu/MP97/+UAUQChgM+A7AELATBBVEFzgZCBrMHEQdaB5sH5Ag0CIEIyQkQCVcJmQnVChAKTwqTCtQLCAs0C2YLpQvpDCgMYAydDOUNMA12DboOAw5SDqMO8w9GD5kP4xAYEEQQeBC7EP0RKhFIEXERtxILEkwSZxJsEngSlhK6EuETIROHE+YT+ROsE0wTQxOpFDkUnhTGFNYU3xTWFMAUyRUZFZcV+BYMFeoVxxW8FbkVqhWSFX4VdhV9FZQVsBXCFbsVmhVrFUEVLBUfFP0UvhSEFGQUGxMrEWwPaA4ADbQOYQ+dESMS0BRiFXAVsxVMFNQU+xYEF44Y6RmvGfkaGRo2GlUagBrEGxgbZBuZG7gbvhuiG3AbRhs9G1kbjxvLHAEcNRx3HMsdIB1rHbweLh66H0QfvSAgIGUggiCEIIYghiBzIFcgSSAxH78eyR2LHHEbqxslGs4atRrpG0gblxvAG+4cXx0iHfgejx7ZHxofjSAXIGkgYCAcH7Ee9B2rG+MZ9BhEFwgWPRXHFYMVXRVoFekXHBjaGn4bVBsnGmIZoxk6GRcZDhkIGPsY1RiTGEcYCBfZF7YXpBetF8cX1xfHF5sXaxdFFyAW7hauFmsWMBX3Fb0ViRVdFTIU+BSzFHEUNxP7E7cTbhMuEvsS1BKtEnwSQxINEd4RsBF8EUwRLxEdEQIQ1hCnEH8QWxAzEAYP1w+kD3EPQg8ZDuwOuw6QDnEOUw4yDhEN8w3PDaANcg1MDSsNBgzgDMAMnwyBDHgMiQyODFcL8QucC4ELgQtjCx0K0gqbCnEKTgpCClIKXwpCCfcJpQluCVIJOQkYCPQI1AixCIwIawhRCDYIFAfzB9kHxQeuB5QHeQdcB0YHSgduB5EHhgdJBwkG8Ab/BxUHIgcnByMHCwblBsoGyQbYBtoGxQapBpoGmQaaBpQGjgaRBpoGpQaxBsEG1AbdBtIGsAaDBlwGSgZSBmkGegZ2Bl4GOQYTBfUF5QXlBe0F9AXvBdwFwQWrBaIFngWRBXUFUwU2BR8FCQTzBN4EyQS2BKkEpgSrBLIEtASvBKoErQS/BNMEzwSuBIcEdAR0BHEEZARXBFMETgREBD8EQwRDBDEEEwP/A/oD8gPbA74DqgOcA4UDYQM9AyEDCwL2AuQC2gLTAsQCqAKKAnQCagJjAlYCRAIwAh4CEAIDAfYB5gHSAbgBnAGDAW0BWgFGATEBHgEOAPoA4ADBAKQAiwB0AF8ATQA/AC8AHQAH/+v/x/+f/33/Yv9J/yr/BP7e/r7+pP6M/nL+Uv4t/gb94f2//aP9iv1z/Vv9Rf0y/R/9C/z4/OP8y/yw/Jf8gvxx/GL8VPxG/Db8IvwN+/n75vvQ+7n7ofuM+3r7aPtV+z77JPsN+vz67frb+sb6sfqf+o36ffpz+m/6bPpl+lv6VfpR+k36R/o++jT6K/oj+hr6DvoC+fn59Pnt+eP53Pna+db5y/m++bv5xfnQ+db51/nZ+d354Pnh+eL55vns+fT5/foG+g76E/oY+h76Jfou+jn6SPpZ+m76g/qW+qT6q/qx+rv6xvrP+tT61/rb+t763/rh+uf67/r2+vv7APsE+wT7Afr++vn68/rt+uj65frg+tr61frQ+sz6x/rB+rn6rfqh+pf6j/qI+of6jvqU+pP6jvqO+pL6lvqV+pP6lPqT+pH6k/qX+pf6kfqO+pH6lfqV+pb6nfqm+q36svq4+r36wPrJ+tj65/rw+vj7BvsY+yf7NftH+1r7a/t9+5b7svvN++j8Bfwh/Dr8Vvx6/KD8wPzh/Qj9Nv1i/Yz9uf3k/g7+Pf5x/qL+y/73/yf/U/94/6P/1v/5AAMADQAY/+n/YP7l/ywAcwItA4oEIwQgA/cENQUlBmwHKgbYBfEFdAXHBmEGjQYtBZsFIgTTBKwEsATQBPMFGAVOBZ4F/AZfBrkG/AceBzQHZAe5CBwIaAiSCKUIrwi6CMcI1QjaCM4ItwimCKAIkghiCA4HsAdhBxcGvQZUBfMFqQVtBTME9wS4BG0EDAOcAysCwwJdAe8BdQD1AIMAMP/2/8n/n/97/1f/I/7a/on+Qf4D/cr9nP15/VX9I/zj/Jj8Qvvn+5n7avtS+zX7B/rS+qL6cfou+dL5afkI+L74i/hf+DP4DPfw99z3x/ez96b3oPea95T3j/eJ94H3d/du92P3Uvc79x/2/PbW9rf2qPad9oP2YPZK9kX2PvYm9gX16vXW9cn1zPXj9gX2J/ZQ9oz2zPb39wr3F/c09133gfee97336/gv+Ib46/lY+cj6LvqD+sr7D/tR+4H7mfuy++r8Q/yd/Nz9BP0j/T79VP1t/Y79tP3S/ej+AP4S/gf9y/1s/Q/81/zH/NL84/zt/Oz85Pze/OL87vz8/Qn9GP0r/T/9T/1e/XD9g/2R/Zj9n/2s/cD92f3z/gz+I/43/k3+af6K/qr+yv7q/wz/MP9V/3n/mf+3/9b/+QAfAEMAZwCPALwA6QERATMBVgGAAa4B2QH/AiQCUAKGAsIC/AMxA2IDlQPJA/4EMwRmBJQEugTZBPUFEgUuBUcFYAV6BZEFpAW5BdcF+wYfBj8GXAZ6BpYGrwbLBuwHDgclBysHIgcQBvwG7QbnBucG5gbhBtcGzAa9BqgGkAZ8Bm8GYwZUBkYGPAY6BjoGOQY0BioGHAYRBhEGGwYnBjIGRAZeBngGjAaeBrAGvAa+BsAGygbPBr8GpAaNBmkGPgYFBe8F+QXcBXAE6gSbBIwEhgRnBEEEIgP/A9EDrQOgA5YDfQNhA1MDSwM1AxMC+ALqAt0CzwLIAsoCzgLRAtQC1wLYAtoC5wL9AxIDHgMnAzUDUAODA80EGAQ/BCkD4AOBAysC6wK7Ao8CXgIvAg0B/AH8AgUCBgHtAbYBbwEqAO4AvACUAHMARwAC/6v/Vf8J/sP+ff44/fX9tf19/VL9NP0d/QX85Pyy/HL8Mvv4+7n7Z/sM+sP6lfpy+k76M/or+jD6L/ol+hz6Gvoa+hX6Cfn5+ej52vnU+eT6GPpq+sD6+/sX+x/7FPr3+tv61/rl+uD6uvqJ+mP6Ovn1+Zj5Pfj6+NP4yPjU+OL44fjK+Jv4V/gN9+X39Pgi+Ev4bfic+Mr4wfho9+X3avcA9ov1//V19Qv0v/Rx9AjzkPMt8vTyy/KH8iHxvPF78VvxR/Eu8Q7w6PDK8LrwsvCi8InwdPBq8GHwTfAz8Bnv/+/l78/vvO+j74zvjO+p78jvy++176PvsO/X8ADwEvAM8AfwGPAy8DzwPPBI8FXwO/AI8AjwX/DA8MTwbvAX7+vvzu+u75vviu9M7uzux+8K713vT+7v7qzute7K7qnuXu4L7bXtVOz77L7siexD6/LrsOt76zzq7Oqh6mbqNeoB6cfpielG6QDov+iE6EboAee853znQOcG5tDmn+Zu5jrmCOXg5b3ll+Vo5TnlD+Tq5MPkk+RP4/HjhOMb4sDiaeIS4c/hu+HW4gbiN+Jb4lviIuGz4Srgk9/n3zvexN6Z3oveW94N3dLdv92z3Zvdhd2D3YXdeN1n3WDdWt1D3SPdCtz63O3c5dzq3PDc7Nzn3PTdFd063WHdlN3Q3gTeKN5G3mLedd6B3pbevt7t3xzfUN+V3+zgVODO4UzhtuH84iziX+KZ4tXjFeNd47LkF+SV5Svlw+ZH5q/m/ecw50rnYOeL59ToMOiY6Qjpeunv6nTrEOur7BrsV+yN7OntZ+3i7kLule7875DwQ/Ds8Wvx1/Jj8xnzwvQp9Gv0z/Vt9hb2n/cU95z4O/jP+Tr5dvmR+ZX5ivl9+Yv51vpp+x77tPv+/AL76Pvh/Cz9Bv5wABEBbwJXAvkDmARDBOYFewYNBpoHBwdHB3EHpwfyCEQIjQjOCRAJVgmXCdEKCgpFCoMKuQroCxgLUwuYC+AMJgxtDLcM/w1EDYsN3A4xDn0Ovw8BD0wPmQ/dEBQQRxCBELwQ7RETET0RfBHJEgUSHRInEkISZhJyEmcSghLsE3MTrRN1EyMTJROAE98UBxQXFEAUdRR/FFgUQRR4FOoVUxWFFYsViBWEFXQVWBU8FSkVHhUfFSwVPBU+FSsVChTlFMEUoxSRFIYUcxRTFBoTkxJxELMO2w2mDXsOOg+CEQQSgxO4FGQUghRjFH8VNRZ7F+UY+RmOGdUaDBo/GmgakhrPGxQbRhtiG3kbihuEG18bMRsgGzsbeRvDHAMcOxx2HLIc4Bz8HSEdaR3NHjserB8fH4Afth/NH+cgDSAoIC8gNCAyH/0fdB6tHdcdABwqG38bPhtxG8gb4BufG0wbRhuwHFEc3R1HHcYegh9NH8UfsB8kHkcdHRuhGfsYjBegFzYXBhbCFkgVqRUjFRwV8RekGa0bPRvTG4QawRn0GVMY8RjCGKIYaxgcF9cXqReDF1oXQBdMF3UXmBebF4YXahdSFzUXBxbJFoQWQhYGFc4VoRWAFWAVNBT4FLMUchQ2E/oTuBNyEzMTBRLhErUSfBJDEhUR6RG1EYQRZRFTETYRBRDSEKkQhRBcEC0P/A/ID5QPaA9CDxkO7A7GDqcOiA5lDkQOJw3/DcgNkg1sDVANMA0PDO8MxQySDHcMhwyhDIkMOwv4C+sL7wvGC2oLDQrSCq0Kiwp4CoEKjQp0CiwJ1QmVCW4JTQkmCQEI4gjGCKYIhwhoCEYIIQgDB/EH4QfLB7EHmQd+B2EHWAdyB5QHjQdSBxIG/gcWBzcHTAdTB0sHLQcABtwG0QbWBtQGxQawBp8GkwaNBo4GkgaUBpcGnwawBsUG1gbcBtEGsgaGBl0GRgZDBkoGUAZRBksGNwYSBecFzQXQBeEF6wXeBcQFqgWdBZkFkwWBBWEFOgUWBPkE5QTWBMYEsgSdBJAEjASOBJQEmQSZBJQEkQSZBKMEmwR7BF0EVwRfBGAEUgRGBEEEOQQmBBkEIAQsBCQEBwPtA+ED2APDA6UDiwN5A2IDQAMbAv4C6ALWAsYCuQKtApsCfwJfAkUCNgIvAicCGgIJAfkB7QHjAdoBzAG5AaQBjwF8AWsBWgFGATEBHQEIAO4AzgCsAI8AdwBhAE4APwA0ACwAIQAQ//b/1P+s/4f/av9P/zH/DP7l/sL+pv6M/m/+Tv4q/gb94/3B/aP9iP1w/Vf9P/0p/RX9A/zy/OD8yvyx/Jj8g/xx/GH8U/xG/Df8JPwP+/z76fvV+8D7rPua+4n7ePtk+0v7Mfsb+wz6/fro+s76t/qm+pj6i/qA+nr6dPpp+l/6WPpW+lL6TPpD+jv6NPov+ij6HfoS+g36DPoJ+gH5+/n7+fn57/ni+d355Pnt+fH58vn0+ff5+fn7+f/6BfoM+hP6G/ol+i76M/o2+jv6QvpM+ln6aPp6+o76pPq4+sf60PrV+tz65frt+vL69fr5+vz6/vr/+wP7CfsP+xb7HPsf+x37F/sT+w/7CPr/+vj69frz+u765vre+tb60PrK+sL6t/qr+qP6oPqd+pv6m/qc+pz6mvqa+p76ofqg+p76nfqb+pn6mvqc+p36mfqW+pb6l/qY+pv6oPqn+q36s/q5+r76wvrJ+tf65frw+vr7CPsW+yP7MPtB+1P7ZPt4+5L7rvvI++D7/PwX/DL8UPx1/Jr8uvza/QL9Lf1W/X/9rP3Y/gT+NP5p/pj+vv7m/xf/RP9n/4//wv/r//n//QAA/9X/W/7i/wwAKQHTA0oECgQTA9ED3gSWBbUGgAaIBjUGQAbSB1oHTga/BhYFkgUzBPQE4ATsBQUFJQVcBbEGEwZwBrwG8AcPBysHYAeyCA4IWwiNCK0IxAjcCPUJCAkLCPwI5gjZCNgIzAifCFAH+AenB1QG7waABh8F2AWdBWAFIQTeBI4ELAPCA14C/wKbAikBrgE4ANgAmgBzAFAAJv/z/7T/Yf8A/qj+af49/hP96P3A/Zb9Yv0j/N/8lPxB+/D7tPuK+177JPrk+qr6cfos+dX5dPkd+Nr4pvh4+En4IPgE9+/32/fI97n3rvem96H3nfeZ94/3g/d592/3X/dK9zH3EPbr9s/2xvbH9r72qfaS9n/2YvY99hv2CPX89fP1+vYV9jn2WPZ79rL28fcb9yf3Kvc791r3eveZ98H3+vhE+Jn49fld+c/6Pvqa+uT7Jvtg+4T7kPuh+9r8Pfyk/Ov9Df0e/TH9Tf11/ab91v35/gv+E/4Y/hD95f2R/Sr81vyx/Lf8zPzd/OH83fzW/NL81vzg/Ov89v0D/RT9J/05/Ur9Wv1m/W/9d/2D/Zb9r/3L/eb9/f4T/i3+TP5t/or+pf7C/uT/CP8w/1j/f/+g/77/4AADACUARwBwAKEA0gD4ARkBPAFoAZQBuwHeAgQCNQJyArYC+QMzA2QDkwPEA/UEIgRNBHQElASuBMcE5gUHBSYFQQVcBXYFjQWkBcQF7AYUBjUGUQZtBocGnQa0BtIG8gcHBwoHAQb0BuUG1gbMBsYGwAa1BqYGlgaEBm8GWgZMBkQGPQYzBisGLAYzBjgGNwYvBiQGFwYQBhYGJgY2BkYGWgZ0BosGmgamBrAGsQarBqsGtAaxBpgGfQZ1Bm0GPgX8BeEF6wXLBVgEzwSFBH4EdQRJBBYD+QPlA8YDqAObA5IDfQNjA1QDSQMyAxAC9ALlAtgCygLCAsQCyQLOAtEC0wLQAtEC3wL3Aw4DHQMwA1MDigPTBCMEaQSOBIEESQP5A6sDbgM/AxMC2gKWAlkCOgJBAlsCaAJRAhgB1AGUAVkBIwD1AM8ApABpACX/4/+i/1T+9/6a/kz+D/3Z/af9ff1h/VD9PP0R/Mf8b/wY+8X7cvsl+u/60fq4+pb6b/pU+kj6RPpD+kX6S/pM+jz6F/nr+cv5v/nB+c759/pH+q77Eftd+4r7jvtq+zT7D/r8+uL6s/qJ+nT6Yfou+dr5g/lE+SD5EfkS+RX5Dvjy+Ln4Z/gW9+739/gR+CL4PPhx+Jv4f/ga96T3Q/bj9mb12vVp9Rv01vR79ArzmvNB8wXy0fKM8jHx1vGS8WvxVPFA8SjxCfDs8Nrwz/C+8KnwnPCZ8I/wcvBK8CTwAu/m79Tvye+375zvkO+j78Pv0e/N78/v6/AV8DXwPPA18DjwTfBn8HfwgvCM8ITwXvA/8FzwoPCy8GjwDe/28BHwDu/j78Hvqu9l7v7u2e8d72DvMu697obutO7s7uDuou5a7gjtou1C7QDsy+yE7DXr9Ou/633rLOrl6rDqgOpI6gvpzemM6UXpAujG6InoSegH58rnj+dU5xvm6Oa45ojmW+Yy5gnl2eWo5X/lXuU+5Rfk5OSc5Dnjy+Nn4xPiveJf4hviFeJH4obiruK94q7icOH+4W/g1eAy35ffK97+3ubesN5h3ijeE94D3ebd0N3P3c/dwN2v3a3drN2Z3XvdZt1c3U/dRd1I3VDdT91N3V3dgd2m3cjd9d4x3mvelt623tDe4d7s3wHfJd9N33bfqd/v4EPgoeEK4Xnh1eIT4j/iceKx4vXjOeOB48/kMOSz5VXl+OZ65tXnFedA51PnXud+58LoIeiJ6PPpW+nG6kLq2ut56/rsTuyU7O/tYe3O7ifuc+7Q71Xv/vCp8TLxo/It8uLzjvP79Dr0l/U19eb2dfbr93f4KPjS+Ub5gfme+a35p/mL+XX5kPn1+o77Kvuf+9z76fvi/AT8kP2X/uEAIAEwAiQDDAPdBIsFKwXXBoMHAgdAB1gHege1B/sIOQhvCKoI7QkxCW4JpQngCiYKbQqqCtsLCwtIC5IL4gwxDHoMvQ0BDU0Nog33DkIOgw7DDwsPWw+qD+4QJRBTEIIQtRDnERoRVBGWEc4R7RIDEisSWRJeEjkSLRJ5EvYTPBMmEwETGxNhE4ITcxN8E8sULBRJFBgT4BPmFCgUdhSwFNkU+hUKFQMU7hTdFNkU2RTcFOAU4BTSFLcUmxSBFF8UOhQrFDsUTxQ6E9QTAxG2EBEOiQ2qDbkOjw/JERISLRLzE2MTrRQYFNUV5BcZGDMZARmAGdIaFBpHGnAaoRrkGyIbRBtPG2AbfhuPG4EbXxtKG1kbihvKHAUcOhxtHJkcsRy8HNMdCB1LHYod1B44HqYe9R8kH1Efix+8H80fyB+/H68fjB9LHtQeAxzlG+AbbBufHAccERuIGrcaFRnlGhIaahrcG4IcZR1OHd0d0R0vHC4bAxnXGNkYOxgUGEAYaRhCF6YWqBWMFMsU7BYwGEQaXBu/HCYbwhrzGhwZexkWGLoYQhfCF2sXQxcmFv0W3xbpFxQXPRdRF1gXXBdcF00XKxb2FrUWchY0Ff8V0RWqFYYVYBUvFO4UphRmFDQUAxPEE34TQxMZEvESvhKIEl0SNhIFEc8RpRGFEV8RLxEAENcQrRB+EE8QIg/yD70Pjw9qD0cPHg72DtAOqA5/DmAORw4kDe8Nuw2ZDX8NYA1DDSgM+gyyDHQMawyHDIkMWwwqDB8MIAv3C6ELSwsUCu4KxQqjCpkKmgqGCk0KBQnICZoJbQk7CQwI6wjVCMAIpgiCCFgILggTCAUH9wfhB8oHuAefB3YHUwdVB3IHegdUByEHEAcnB0cHWAdaB1IHOgcVBvIG3QbRBskGwQa3BqUGjgaBBoYGkgaWBpUGnAavBsIGywbKBsEGrQaLBmYGSgY6Bi8GKQYsBjQGMAYTBekFzQXLBdEFxwWsBZEFhAWABXsFbgVaBUEFJQUIBO4E3ATPBL8EqgSWBIcEfgR5BHoEgQSGBIEEdQRuBGsEXwRGBDAELwQ5BDsELwQlBCMEGwQHA/YD+wQKBAkD7gPNA7oDtAOoA5EDdgNeA0cDKgMGAuQCygK3AqQCkAJ6AmQCTAIxAhcCBAH6AfUB6wHcAcwBwgG9AbcBqwGbAYwBfwFxAWIBUgFBAS8BGQD8ANoAtwCaAIQAcwBhAE4APwA2ADAAJwAV//v/2v+4/5f/d/9Z/zn/Ff7v/sr+qv6N/m7+S/4o/gf96P3I/an9i/1w/Vb9O/0g/Qf89Pzm/Nf8xfyv/Jn8hvx2/Gb8V/xI/Dj8JPwP+/v76fvW+8L7r/ue+4/7gPtu+1b7PPso+xv7D/r5+tr6wPqv+qX6nPqT+oz6g/p4+m36Zvpj+l36VPpJ+kD6O/o5+jP6Kfof+hv6G/oZ+hP6EfoU+hX6D/oG+gT6CfoP+hD6DvoP+hD6EfoV+hv6JPos+jP6O/pF+k76U/pV+lj6X/ps+n36jvqg+rL6xPrW+uX68Pr4+v/7BvsN+xH7FPsZ+x37H/sf+yH7Jfsr+zH7N/s4+zP7K/sm+yP7HPsS+wv7CfsI+wP6+vrz+uz65Pra+s76wPq0+q76r/qw+q36qfqm+qX6o/qj+qX6qPqq+qn6pvqk+qH6oPqh+qL6oPqe+pv6mvqb+p/6pfqq+q36sfq4+r/6xfrN+tn65frx+v37CvsW+yH7Lvs/+1D7YPt1+5D7rfvF+9v79fwQ/Cz8TPxx/JT8tfzY/QH9Kv1Q/Xj9p/3V/f7+KP5Z/on+r/7X/wn/Of9d/4H/sP/d//H/9P/x/8r/YP7r/vr/6gF5AvsD3QQAA8EDtgRIBU4GNAaeBsYHHwetB/wHtwcHBkgFrgU7BPME3QTwBRYFSwWWBfQGUgahBt8HDQctB0wHeQe2B/4IRgiICL8I6AkJCSUJOQk3CR8I/gjrCOwI7AjOCIoIMQfXB3sHFAaqBlAGCgXLBYgFQwT7BKcERwPpA5UDPwLaAmYB9AGPAUABDADtANUAsQB0ABf/nf8c/rr+if53/mP+QP4U/eX9r/1x/TH87Pye/Ev8AfvF+4j7Qfr0+qv6aPoh+dL5gPk2+Pf4wfiP+F/4NvgX9/736ffY98r3vfew96j3pfei95n3jveD93f3ZvdT90D3J/cG9u326fb39v/29/bd9rf2h/ZZ9j/2NvYt9iD2IvY+9mb2iPam9tD3Avcl9y/3L/c691T3dPeW98L4AfhQ+Kj5B/lu+eD6UPqu+vf7Nftn+4P7ifuV+8v8LPyT/Nr8+P0C/RP9Ov11/br9+v4n/jf+M/4q/iL+BP25/Uf82/yi/J78sPy//MX8yPzH/MH8vvzC/Mz81fze/Ov8/f0S/SX9Nv1E/U/9Wf1k/XP9iP2j/cL93/34/hP+M/5S/m7+hv6f/rz+3P8B/yv/V/98/5z/vv/iAAQAJwBRAIQAtQDbAP0BJgFTAX4BoAHBAekCHQJeAqYC7QMpA1oDiQO7A+sEFQQ3BFcEcgSJBKMExATrBQ8FLQVKBWcFgwWdBb4F5wYOBisGPwZUBmgGfAaTBrIGzwbdBtkG0AbJBsIGtganBpwGkwaGBnUGZgZYBkoGPQY1BjIGLQYnBiUGLQY4BjwGOAYwBiYGHAYYBh8GLwZABlIGZQZ4BoQGiwaUBpsGmQaRBpMGnAaWBnsGaAZuBmoGLgXcBbYFugWeBTYEugR5BHAEXQQjA+gDzgPHA7cDogOXA5EDgQNpA1cDRwMwAxIC+QLpAtoCzALGAskCzQLOAs4CzgLMAs4C3ALzAwkDGwM2A2gDsQQHBFoEnQTCBL4ElgRVBA8D1QOrA4QDSwL7AqoCfgKIAq8CxgKxAnYCNAH3AbwBgQFOASQA/ADIAJAAWQAd/8r/Yf76/qv+c/5A/gb9zf2j/ZD9hP1h/Rb8rfxA++D7kvtY+zX7IvsQ+vX60fqv+pn6jvqO+pP6l/qN+mf6Jfnd+bD5qfm2+cb55/oy+qj7K/uZ+9r74vux+2b7KfsE+uP6t/qV+ov6h/pl+h75zPmO+W/5Zvlj+VT5NvkO+Nb4ivg6+Af3+vf++AL4Ffg6+Ef4Evex91n3Fva79jb1svVe9Sz07fSQ9CnzzPN58yzy4vKV8kHx7PGm8XnxYfFU8UXxLvEU8P3w6/DX8MPwt/Cw8J7wevBO8CjwBu/m787vvO+h73zvZe9076Lv0u/78CPwTfBs8HXwcPBu8HjwifCc8LPwz/De8Mbwj/Bz8JXwvvCU8CHv1u/58D7wPO/+79jvzO+U7zPvDO9H73jvN+677ojuu+737vbuze6c7lbt8O2M7UftD+zG7HjsOuwH68TrdOsv6vzqy+qP6lHqFenV6Y3pSOkK6M7okOhR6BTn2Oea52HnMecF5trmreZ/5k3mG+Xw5dLlueWX5WjlLeTi5IDkE+Oz42XjEuK24nXieOKy4uvi/eLu4sviiOIb4ZThCeB93/ffkN9a3zrfBN663oHeZ95R3jDeF94S3g/d/t3u3e7d8d3j3cvdvN223avdn92i3bDdud2/3dXd+d4b3jjeY96j3ubfGN8731TfY99q33bfjt+u39TgCOBP4J7g7eFB4Zrh6eIi4k/iheLK4xTjXuOo4/bkUuTS5XfmHuac5uvnHudB50/nU+dt57LoF+iB6OPpQOmk6hrqretL69jsQ+yZ7PLtUe2q7fvuTu617zzv3/CC8QHxZPHe8ozzRfPE9Az0ZvUA9bb2S/a/90r4Bfi++Tn5cPmH+Zn5nvmP+X75jPnK+jP6tfs7+6n76vwG/Cj8ev0F/bv+l/+qAPACNgNCBA4EzQWjBncHEAdaB3UHjQe1B+IICggxCF4IlAjNCQYJQAmDCdIKIwpoCpoKxgr+C0oLnQvqDC8Mcwy/DRENYQ2oDe0ONQ6BDs4PGQ9pD7gP+RAiEEIQbBCjENkRDhFIEYIRsRHaEhESSRJVEioSAxIlEoESyxLiEvQTIxNJEzMTARMME24T2hP5E8gTihN1E40TuhPwFCgUWxR6FIEUfBR8FIUUkBSYFJkUjBRwFE8UNhQmFBIT/BP8FBgULBP8E2gSchEzD9kOuQ4zDnAPQRBKETwR8hJ0Eu0TmBSOFbIWyxe3GHUZEhmTGfMaMRpSGnAaoxrqGykbRxtSG2YbhxugG58biht4G3wblxvAG+4cHxxRHHkcjRyZHLcc7R0gHUEdaB2zHhkecR6sHt0fFB9BH00fPB8iHxkfLh9QHzwenh1zHDYbhRuOG98bzxsTGekY0xgpF/wYLBidGUcaFxriG2gbeRsTGmIZqxkmGOoY9RkxGX8ZsBmZGRcYHxbOFYgU5hVlFvoZDxrjG/gcMxvHGxQabhnoGVUYmRfbF1sXIBb9FtIWshaxFsIWzxbaFvEXFBcyFz0XNhcbFuwWshZ5FkcWEBXTFZgVaRVAFQwUyRSMFGIUQxQTE80ThxNUEyoS+hLJEqQShRJbEiUR7hG7EYoRWhEwEQgQ2BChEHIQShAdD+cPtQ+PD20PRw8eDvUOxw6YDnUOXg5CDhkN8g3YDb0Nmg16DWINOQzqDJMMaAxsDGsMRwwcDAwMCQvrC60LbgtBCxsK7wrDCqQKkgp7ClMKIAnuCcEJkQlbCScJAgjtCN4IxwihCHIIRwgqCBoICAfxB94H1Ae+B4wHVgdGB2EHeAdmBzsHJwc2B1AHXAdaB1IHRAcxBxsHAwbpBtQGyQa/BqoGiwZ5Bn4GjQaSBpEGlwaoBrQGtgazBrAGpgaPBnIGVwY/BicGFgYUBhwGFwX7BdYFwQW8BbIFlgV1BWQFZQVnBVoFRAUvBSEFFAUDBPAE3wTOBLgEoQSMBHwEbQRgBFsEYQRrBGsEXgROBEMEOAQmBBQEDQQRBBIECgQDBAED+gPpA9gD2QPnA+oD0QOoA4oDgQOAA3QDWwM/AyUDCgLnAsECogKNAnsCZAJJAjICHgIIAe8B2AHLAcQBvAGtAZwBkwGRAY4BhAF3AW0BZgFbAU0BPgEyASQBDgDtAMcApQCLAHcAZQBRAD0ALgAoACgAIwAR//X/1/+9/6T/hv9k/0L/Hv75/tP+sv6U/nT+T/4r/gz98P3T/bP9k/12/Vn9O/0c/P785/zX/Mn8uvyo/JX8hvx4/Gn8WvxK/Dj8IvwM+/n76PvW+8L7rvud+477gvty+137Rfsz+yr7IfsM+uz6zvq7+rP6rvqo+qL6mPqN+oP6ffp3+m/6Y/pW+kz6RvpE+j/6N/ot+ij6Jfoh+h36Hvol+in6Jvoi+iT6K/ov+i/6Lfou+i76MPoz+jn6QvpL+lP6W/pl+m76c/p0+nX6ffqO+qP6uPrK+tr66Prz+v/7C/sW+x/7Jfsr+zD7NPs5+z37P/s/+0D7RPtK+1D7UvtQ+0n7Qfs7+zf7Mfsp+yL7IPsd+xb7DfsI+wT6+/rt+tz6zPrA+rr6vfrB+r76t/qy+rD6r/qs+qv6r/qy+rL6sPqu+qz6qvqp+qn6qfqm+qH6nfqe+qP6qvqu+rH6tPq5+sD6yPrT+t/66frz+v77CfsT+x37LPs++1D7YPt0+4/7q/vB+9b77/wM/Cr8Svxs/I38rvzV/QH9KP1L/XP9pP3T/fb+Gf5I/nr+pP7K/vr/K/9S/3T/nv/K/+X/7//x/9P/df78/uX/mQD/AoIDiAPUA6gDkQQDBPoGCAbMB0cHrggFCBIHrQbxBhsFXQTYBKIEtQTvBTQFggXgBkIGmgbiByAHUQd0B5EHsAfZCAwITgiaCN8JDgkrCUAJTwlNCS4JAgjlCOYI9AjqCLIIVgfxB48HMAbUBoAGOAXzBa0FZgUbBMUEaAQTA8cDdAMPAqQCRQH2AbABcwFMATcBHgDiAHP/3f9H/uD+uf63/q7+jP5c/iz9+v2+/Xv9NPzl/JH8QPv3+7H7ZfsU+sT6ePot+eL5mflU+RP42Pik+Hb4T/gt+A739ffl99n3zfe/97T3sPer96T3m/eS94P3bvdb9073Pfcj9wr3B/cY9yr3J/cI9tP2mPZt9l72X/ZY9kX2P/ZZ9ob2rPbF9tz2+PcP9xn3Ifcz91L3dfeY98P4APhT+LP5GPmD+fT6ZfrF+w77Rvtv+4X7i/uZ+8j8Gvxy/LD8z/zf/Pr9LP1z/cT+D/5F/lf+TP45/i7+G/3Y/WL85/yf/JL8m/yd/Jz8ovyp/Kj8oPyg/Kj8sfy4/MH80fzn/P79E/0m/TX9Q/1N/Vj9Z/2A/aH9xP3i/f3+Gf41/k7+Zv5//pn+s/7S/vr/Jf9M/3D/lv+9/+MABgAvAF8AjgC2AN4BDQFAAWwBkAGzAd4CEwJPApIC1QMPA0ADcgOoA9wEBQQkBEEEXgR5BJgEvQTmBQkFJAU9BVgFcwWPBbEF2QX+BhUGIgYvBkAGUwZrBogGoAamBpsGkAaPBpIGjQaBBngGcgZrBmAGVQZOBkcGPwY5BjQGLAYhBh0GIwYqBikGIgYdBhkGFQYVBh4GLwZCBlUGZQZvBnEGcQZ4BoAGfgZ5Bn4GiAaEBm4GZQZxBkIF9QWXBWUFYAVIBPgEmQRlBFcEOgP/A8oDuAO2A6sDmAONA4gDfQNqA1YDQwMrAxMDAALyAuUC2gLXAtsC2wLWAtIC0QLSAtYC4QLzAwYDGwM+A3kDyQQhBHQEuATjBOsEzgSWBFUEHgP5A9sDrANiAxEC4ALlAwsDIgMMAtECjQJOAhABzwGXAW0BSAEcAOoAuAB9AC3/yP9m/xj+4P6r/mz+KP3y/dT9xf2o/WT8/vyP/DP78PvB+6D7ift4+2r7V/s++yP7DvsD+vv66vrF+oX6Mfng+bL5r/m/+c756/o1+rH7Qfu9/Av8Gvvk+4f7M/sD+ur60Pqy+pv6i/pw+kH6AvnK+a75r/my+Zv5afk0+QP4xPhw+CT3+vfu9/P4AfgN9/T3qPdQ9xb26faT9hX1rPV59VX1DfSn9Er0APO081jy+/Kk8lHyAPG/8ZXxf/Fy8WXxU/E88SPxCvDy8NzwzPC88KXwg/Bi8ETwIe/y77zviO9T7yDvBO8X71nvtvAb8HbwtPDH8Lnwq/Cv8L3wxPDL8ObxFfEw8Q/wxfCb8LLwy/CT8Cnv/vA78H3wYvAT7/Lv+u/U73rvTu9876fvbe787sPu2O717vDu4O7R7qHuQ+3f7ZftWO0J7LnsgOxP7A3rv+t860nrFOrX6prqYeog6djpkulV6Rro2+ia6FzoHeff56nnfudW5yrm+ObF5pPmZuZE5i3mE+Xp5bHlceUk5MLkVeP146njXuMP4t7i6uMh40TjNOMH4tXilOIx4bjhQODK4FHf6d+s34rfW98X3tveut6h3oDeZN5a3lXeRN4z3jLeNd4p3hXeC94H3frd7d3y3gneH94x3kvecd6T3rDe3N8d31/fjd+r38Tf19/f3+ff9uAN4C7gYOCk4O3hL+Fy4bvh/+I14mbioeLp4zPjfuPL5BrkcuTn5YHmIuac5uPnDecr5zjnPeda56foEuh66NHpJemL6gnqm+sy67vsLOyL7OLtNO2A7c/uMO6p7znv0/Bf8MbxF/GI8jby+fOH89n0NPTQ9Yv2I/aS9xX3yviD+P75MflH+V75dPmC+ZX5tvnh+hb6ZfrZ+1n7wfwI/EX8fvyk/MH9G/35/1IAxgIEAxAEJAVUBm0HNQejB9sH/ggTCBwIJwg/CGEIhgitCN4JGglcCZ4J2QoKCjQKZQqpCvwLTQuUC9cMJAx/DNYNGg1PDYgN1w4zDoYOyg8PD18Pqg/YD+8QChA3EGgQlBDFEQMRRRGDEcIR+hIHEdwRrBG6EgsSbRK+EwUTQRNMExQS1RLaEyITZBNnEz4THhMaEywTThOBE7sT6RQDFA0UEhQXFB4UJhQtFC0UGxP4E9QTwBPBE8kTzhPXE98TyBNsEscR8hEKECcPdg8zD3oQJBDnEYoSBxKCEzAUMRVuFqIXkRg1GLgZPBm+GiAaTxpfGnEanxriGx0bPxtRG2Mbdht/G3gbahtjG2kbfhugG80cAxw7HGYcexyLHK4c5h0YHTMdTB2AHcweEh5DHmselB61HsAesh6UHn4elB7fHx0e5R4LHOkcGhveG94bghp/GRQXwRbqFqgW2xdaGAEYrxlJGbkZ7RniGbEZixmWGdQaIhphGoMaixpzGiQZehhkFxAV/hW2FnAX7RmmGxMb3BvyG5QbGxqqGiEZYhiTF/UXlxdZFyIW9hbUFqcWcBZOFlsWjBbCFuwXChcWFwgW4xa3FokWThYBFa0VahU7FRIU3hSpFIQUbBRJFBATzhOVE2UTNBMEEt8SwxKgEm8SNBH5Eb4RixFiETsRCBDPEJ0QdRBHEA4P2g+yD48PZg8/DxoO8A7ADpgOfw5qDk4ONQ4jDgsN5A28DaANew0zDNkMlgx2DFwMNgwTDAML+AvYC6cLfAteC0YLKAsBCtYKqQp9ClQKKwoBCdoJsgmGCVgJMgkaCQcI7QjECJUIaghMCDYIIAgIB/oH9QflB7cHggdwB4sHpgeVB2MHQgdKB2YHeAd3B20HYgdaB1AHPAcbBvcG2wbFBqgGiAZ2BnsGiQaOBo0GkwacBp4GmwacBqIGoQaTBn8GbAZWBjkGHwYSBgoF9AXQBbEFqAWnBZYFcwVZBVcFYQVeBUcFLAUbBREFBwT4BOcE1AS9BKMEiwR4BGcEVQRBBDUENwRFBE4ESwQ+BDMEKgQdBAoD+gPzA/MD8APrA+UD3QPQA8ADuwPFA8sDtgOHA1kDQwNDA0IDMAMSAvUC2gK6ApUCdAJfAk8CPAIkAg4B+wHmAc0BtAGkAZwBkgGBAW8BZgFkAWIBWgFPAUgBRAE8AS8BIwEbARAA+wDaALcAlQB0AFMANgAcAAj//P/6AAMACP/+/+X/y/+4/6j/kP9u/0n/JP7+/tn+uP6b/nz+V/4y/hP9+P3b/br9mv19/WD9Qv0h/QD84/zN/Lz8rfyc/Iv8fPxu/GH8U/xD/C/8GPwD+/P75fvV+8L7rvuc+437gft0+2L7Tfs++zj7Mfsf+v/63/rJ+sH6vvq8+rb6rPqi+pr6k/qL+oH6dfpo+l36VvpT+k/6SPpA+jn6M/os+in6Lfo2+jn6N/o2+jz6RfpK+kv6TfpQ+lL6VPpX+lz6Yvpq+nP6e/qD+ov6kfqS+pT6nvqx+sr64Pry+wL7DfsU+xz7J/sz+zz7Q/tJ+077UvtW+1v7Xvte+1/7Y/tq+277bfto+2H7WvtU+1D7SvtC+zv7OPsy+yj7Hvsa+xf7Dfr8+uv63frS+s760PrT+tD6yPrC+sD6vvq6+rf6ufq7+rv6uvq6+rv6u/q5+rj6t/qy+qv6pvql+qr6sfq2+rn6u/q++sT6zfrZ+uX67vr1+v77B/sQ+xv7K/s/+1L7Y/t2+4/7qPu9+9L77PwJ/Cj8SPxo/If8p/zP/Pz9I/1E/Wv9nf3L/ez+DP46/nD+nP6//uj/F/9B/2X/jv+4/9b/5//y/+L/k/8X/tT/PQBjAdoDCQOQA4oDcgPIBKsF0gbTB3kH0AfuB9IHbga7BcoE2QQ+BCgEeQTnBUgFoQYEBmgGxAcZB2gHpAfJB+EH/AgfCEkIgAjDCQAJJAkyCTsJRglFCSoI/AjZCNYI6AjqCLsIYQf7B50HSAb1BqcGXwYdBdsFlgVJBO4EjgQ4A+wDmQM5At4CmQJeAhgBywGRAXYBYgErAL0AKf+X/zT/Df8E/vH+xv6S/mT+Nv37/bP9Zv0X/MX8cvwj+9n7kftG+vj6qPpW+gf5vfl1+TH48fi7+JD4bPhK+Cj4C/f59+334vfX9833xve+97T3rfem95j3gvdt9173Tvc09xr3Evcg9zD3K/cJ9tH2mPZ09m32dPZu9lr2UfZn9pT2uvbN9tL21/bh9vH3C/cu91b3fPee98b4A/hY+L35JfmO+gD6dvrf+y37YfuB+5H7mfus+9f8FfxV/If8rPzO/Pv9N/2A/c/+Gv5S/mn+Xf5H/jz+Lf3u/XD85vyR/H78gvx7/G78bvx5/H78efx2/H38hvyO/Jf8p/y+/Nj88P0H/Rv9LP05/UL9S/1f/X/9pv3H/eP9+/4U/iz+Rv5j/n/+mP6x/tD+9f8b/0L/bP+Z/8H/5gAMADkAZgCRAL4A8wEqAVsBhAGuAd4CEgJKAoYCxAL8Ay0DYAOXA8oD8AQLBCUERQRnBIwEtQTeBP4FEgUjBTYFTgVpBYsFtAXYBe8F+wYIBhkGLAZABlYGaAZqBmAGWgZhBm0GcAZrBmgGagZqBmQGXQZYBlEGSAY+BjQGJgYWBgsGCAYIBgMF/gX+BgIGBwYMBhgGKgY+Bk8GXAZhBl8GXAZfBmUGZQZjBmkGcgZuBl0GVgZaBfIFoAVHBRMFAgTnBK0EbgRLBDgEFwPlA78DtQOzA6UDjwOBA3sDcwNlA1MDPgMnAxMDBwL/AvcC8ALwAvMC7wLlAt4C3gLjAugC8AL8AwwDJQNOA40D2wQsBHoEvgTvBQAE7AS8BIQEVgQ5BCQEBQPQA5EDZQNhA3kDhQNqAy0C4wKdAlcCEAHUAagBhgFiATcBCADSAIwAN//f/5H/UP8T/tL+jf5P/iT+CP3n/a39Wv0A/LX8ffxQ/CX8APvt++378fvn+8j7oft9+1b7Ifra+of6NPnx+c/5zfnZ+eb6BPpK+rv7Pvu6/B38Sfwi+7L7Nvrv+uf68fri+rP6ffpa+kX6KPn++d752/nj+dD5n/lu+Uj5Dviu+Ef4B/f8+Ar4FvgJ99H3dvcg9uv2vPZr9gj1yPWy9Yz1LvS69GL0JPPZ83bzD/K18mLyF/Hf8b/xqfGT8X7xbvFe8UjxLfEQ8Pbw4fDO8Ljwn/CG8GrwPe/6763vaO8u7wHu6O7w7yfvjPAU8Jzw9vEL8PPw4PDn8Pbw9vD28RXxVPF98V3xCPDK8M7w4PC78HPwXvCQ8K/wevAq8BfwL/AW78Tvl++77+bvxO9s7yzvEu777uTu6O767uTumO4+7fTtqu1S7QDsyeya7FvsEOvQ65vrYusl6uvqsepu6iPp4emm6WvpKejn6Knoa+gv5/vn0ueo53XnPucN5uTmwOag5oPmYeYy5ffltOVj5P7kkeQx4+bjo+Nm40njY+OW46XjeuM34vziveJh4e/hgOEV4KLgOd/439nfs99y3zLfDN7z3tXeud6s3qbemN6I3oHeft5x3l7eVN5O3j7eLd4z3lHecN6K3qne1N783yDfTt+J377f3N/w4AzgK+BB4EzgVuBk4H7gquDo4SvhZ+Gg4d3iGuJP4oPiwuMK41LjmePm5Dbkh+Tt5XXmCeZ85r7m4ub95w3nGudD55zoEOhz6L/pDul96gnqnusp66LsC+xp7MDtE+1h7bbuIO6j7zHvuPAm8Hrw0PFT8g/y0fNY86f0B/Ss9W/2B/Zv9uP3h/gv+J/40fjv+RP5Pflr+an57vob+ir6RPqM+vf7YPu8/Bb8WPxZ/CL8FvyY/ab+6QAjAW8C+gSpBiUHMgfdCEwIiwiUCHgIYwhuCJAIsgjUCQcJSQmGCaYJrAmtCcMJ+ApICp0K5wsoC24LxQwkDHgMtAzjDRsNbg3QDicOZQ6bDuIPMA9rD4kPog/HD/EQFBA7EHYQvhEAETIRTxFFERIQ4xD2EVgR4RJkEtQTIBMtEwAS0BLLEt8S2BKuEpASmRK6EtkS/RMxE2cTixObE6YTsBOxE6kTohOhE54TjhNuE04TRRNXE3UThRN8E1gTFBKtEjARtBE/EM8QcxBUEIwRBBGKEgASdRMRE/EVDxZAF0oYDBiSGQYZfhntGjgaWBphGnIamxrVGwsbMhtIG1IbUBtDGzQbLhs1G0gbZRuLG78b+xw1HF8ccxyCHKMc1x0JHSsdRx1sHZYduh3VHfEeEB4rHj4eQh4rHgId9x44Hqge4B6SHeMdQxzuHKMb6BqLGNkXWxZyFiwWZRbvF58YUBjkGVQZoxnVGfQaHBphGr4bERs+G0AbJBr2GrcaThmcGJ8XkxbeFs8XdhikGfYa9hteG0kbERrpGrMaRRmqGRQYoBhEF/kXtxdnFvAWZRX/FeUWBxY/FnwWvBbwFwkXAxbrFskWlRZLFfMVoBVfFSsU+RTFFJgUeBRdFDsUEhPoE70TjBNYEykTARLWEqQSbRI0EfcRvhGQEWkROhEEENAQoBBqEDAP/w/ZD7MPhw9eDz0PGg7vDsgOsA6dDocOcg5lDlMOMw4KDecNvw2CDTQM6gyuDH0MXAxQDEwMMAv2C7oLmguVC5cLkQt2Cz8K8wqpCnAKRAoaCfQJ1gm6CZcJcglTCTgJFgjrCL0Ilwh6CGEISAgzCCcIIggUB/EHywfDB90H7gfPB40HXAdbB3sHmAegB5gHiweAB3gHaAdIBxwG7wbHBqQGhwZ6Bn4GiAaOBpEGlgaVBosGgwaIBpUGmgaUBo0GhwZ2BlcGNwYgBgcF3gWvBZcFnAWhBYwFaQVZBWMFawVbBToFIQUXBQ4E+gThBMsEtgSfBIgEdQRmBFUEPwQpBBgEFQQhBDMEOwQ1BCoEIQQWBAMD7APeA90D3QPXA80DxAO6A6sDoAOjA6oDnANuAzMDCwMCAwUC/ALjAsQCpwKKAmsCTQI3AigCGQIHAfMB3gHGAawBlQGEAXoBbQFaAUgBPgE7ATkBMQEpASQBIAEZARABCAEBAPUA3wDBAKAAfQBYADEAEf/9/+//4f/Z/9z/4//h/9D/u/+s/6H/jv9v/0n/Iv78/tj+uP6d/n/+W/43/hb99/3Y/bj9mv1//WT9R/0o/Qj86PzM/Lj8pvyT/ID8bfxf/FL8RPwz/B/8Cfv2++j73fvR+8D7rvuc+437gPt0+2X7VftK+0X7Pvss+w767vrZ+tD6z/rN+sb6vfq0+qz6pfqc+pH6hfp5+m/6aPpl+mP6X/pZ+lL6SvpC+j/6RPpL+kz6SfpJ+lH6Wfpg+mX6a/px+nb6evp++oL6hvqN+pf6oPqm+qr6rvqx+rX6wvrX+u/7AvsT+yP7MPs5+0D7SftT+1v7Yvtp+277cPtz+3j7fft9+337gfuG+4f7hPuA+3v7dftw+2v7ZPtb+1P7TvtI+z37Mvsr+yb7G/sK+vr67/rn+uP65Prl+uL62frR+s76zPrI+sb6xvrH+sX6xPrG+sv6zfrM+sr6x/rB+rn6svqx+rT6ufq++sL6xPrH+sz61Pre+un68fr5+wL7C/sV+yH7MftF+1f7aPt7+5H7pvu7+9L77vwM/Cr8SPxn/IX8pfzM/Pf9Hv0+/WP9kf2//eL+BP4y/mf+kv6z/tb/Af8u/1j/hf+w/87/3v/s/+r/tP9E/uD++f/JARkCYgMrA2QDaAO0BIIFpAa3B24Huwe/B50HTgapBZ0EcwOxA6YEJQS9BTIFjgXvBlcGwgcxB5wH6AgOCCMIQwhvCJ0IyAjyCRYJKAktCTEJOQk5CSUJAAjeCNII1gjRCKcIWQgAB6wHXAcLBr8GgQZNBhcF1AV+BRcErQRPA/8DrwNeAxsC7QK/AnkCIQHZAbIBlQFcAPgAegAC/6z/e/9c/zT+/v7H/pn+bP4w/eX9lv1I/Pj8o/xQ/AT7v/t8+zL63/qH+jL54vmZ+VP5Evja+K74ivhp+En4LfgX+Af3+vfv9+f34PfV98j3v/e596/3nfeH93P3XPc89x/3EvcX9x33E/b09sf2mvZ+9nX2dvZu9l72VvZo9oz2rfa59rH2p/ar9sn2+fcv92D3ifer99T4Evhp+M35MPmU+gX6g/r3+0z7fPuS+537qvvC++n8F/xF/HH8ofzZ/Rn9Xf2g/eH+H/5U/nD+bv5f/lf+Rv39/Wz8yvxl/E/8XPxa/Ej8PvxD/Ev8TPxN/FL8XPxn/HX8iPyf/Lj80fzp/QD9FP0j/Sz9Mf1A/V79hP2o/cT93P3z/gz+J/5H/mf+g/6a/rP+z/7w/xf/Rf91/6L/yv/zACAATwB8AKsA4AEXAUoBeQGpAdwCEAJGAoECvQL2AycDVwOIA7QD0wPoA/0EGQQ9BGYEkQS7BNsE7QT4BQUFGQU1BVkFggWmBb8F0gXmBfwGDQYbBikGOAZABkEGRQZTBmQGawZpBmgGawZsBmcGXQZTBkgGOgYtBiIGFgYHBfoF8wXvBeoF6AXsBfcGAgYNBhoGKAY1BkAGSQZOBk0GSgZKBkwGTQZOBlIGUwZKBjoGLQYeBaAFWQUcBPUE1ASoBHQETQQ5BCMD/gPVA70DtgOvA50DiAN6A3MDbANiA1MDPwMpAxoDFAMRAwwDCAMIAwgDAgL5AvIC8QL2AvwDBAMPAx8DOQNlA6ID6AQvBHMEsQTfBPQE6QTJBKUEigR4BGsEWAQ5BBMD9APoA+0D6gPJA4kDOALnApoCUAIRAeIBvgGdAXkBUQEiAOkApABXAAj/u/91/zT+8v6y/nv+T/4l/fL9tP12/T/9Dfza/KT8d/xk/G38gfyB/F78I/vd+4/7NfrV+n76N/oI+fT5+PoI+hz6O/p0+sT7IvuS/BD8bPxi+937Kvq6+r/7A/si+u/6jvpJ+jr6Pfoq+gf58vnu+d75v/ml+ZP5X/j3+Ib4SPhF+FP4S/gh99f3evcf9tX2j/Y/9f315fXe9a31QfTN9H70QvPu84DzFvK+8m/yKvH88eTxzPGr8Y7xgPF68WzxUvEy8RXw/fDq8NbwvPCa8G7wNu/278Hvp++j75/vi+9t72PvkvAF8JrxDfE28SfxFfEb8SnxKfEo8Ufxh/G58abxV/EN8PrxBvD48M7wu/DJ8MTwifBM8EfwX/BK8AXv3+/78B/wDu/T75bvXO8a7u7u9u8X7xfu4+6e7lruCO2n7VTtHuzv7LDsaewq6/HrtOt460LrB+q+6m/qLun36bzpeek46P3owuiI6FToKOf357/niudh50LnIeb75tPmq+Z+5kXl/OWi5Tnkz+R05Czj7eO7467j0eQD5Anj0+OH40XjAuKj4i/hwOFY4OrghOBE4CfgBN/G34bfYN9K3y7fEd8D3v/e897g3tPey9673qbemd6N3njeY95m3oPepN7A3uTfFt9K33bfpN/U3/XgAuAQ4DPgY+CH4JfgnOCk4Lfg3uEa4VvhlOHI4gDiOuJu4qLi4eMp427js+P95ErkluTv5Wbl7OZW5pLmsebJ5t7m9uct55ToDuhv6LTpA+l56gvqm+sZ64br5+w/7JXs7+1L7a7uHe6a7xnvhe/Z8CrwnfFK8hvy0PM9833z4PSQ9Vj17vZN9rL3QffU+Db4afiU+M35CvlQ+a36EfpO+lH6Rvph+qH66fs2+5f78fwJ+9j7rPvc/G/9Nv4s/4YBXQNoBTAGfwdyCCoInAiyCIcIYQhqCJYIxgj5CUAJlwnXCeAJuwmRCY0JugoBCkYKggrBCxELaAu2C/UMMQxxDLYNBA1bDawN5w4PDj8OhQ7ODwkPNw9kD40Pqg/HD/QQLBBWEGMQUxAmD+YPuQ/SED0Q0hFjEd4SPBJuEnkSfBKIEoESThILEfQSFxJJEmsShhKxEuITBBMZEzMTThNXE0kTMxMnEyETFBL5Et8S2hLuEwQS/BLNEokSShIZEfQR1RGwEX0RShE5EWMRuxIhEosTEhPRFMUVzxbIF5sYRxjWGVMZvRoJGjYaShpWGmkajRrAGvYbIRs5GzsbLxsgGxkbHxswG0obaBuOG74b9BwlHEYcWRxrHIwcvBzsHRUdOh1YHWkdbh12HYodpB28Hdcd7B3gHaodfR2dHhMekB69Hpwech5fHh0dPhulGbEX+hbdFmQWahbTF4QYUxkOGZwZ/ho9GmUaihq/GwobXBudG7kbpRtmGxEasxpDGbAY+xhLF9cX1RhbGT0aERp/Go0ajxq4Guka4RqUGiIZrxlJGPYYqhhBF6EW5BZHFfMV4xX9FjMWexbBFvkXHBcoFxkW7xaxFmYWEBW3FWcVIhTiFKUUdhReFFYUTxRDFCwUBRPQE5QTVRMUEtYSnRJnEi0R8hG/EZURbBE6EQMQyRCLEFEQIxAAD9oPrQ+CD18PPA8VDvQO4g7SDroOoA6QDocOdA5VDjAOBA3PDZENTA0DDMMMqwy9DMkMnAxBC/QL4Qv3DBAMEgvyC6sLSArqCqcKdwpKCiAKBAnvCdMJrQmICWcJQgkYCO4IzgizCJsIhAhvCGAIVAhCCCQICggGCBkIHgf2B7AHdwdrB4IHoAezB7YHrQedB4wHewdfBzUHAwbUBq8GlgaKBogGiwaRBpsGowacBocGdwZ6BocGkQaUBpoGngaQBm8GTQYxBg4F2gWqBZsFqAWpBYkFYgVbBW4FcQVQBSMFDQUMBQUE6QTGBKkElASBBHIEaARbBEYELQQYBAsEBgQOBCAELAQoBBgECQP/A+8D2gPLA8gDxwPAA7QDrQOnA5oDiwOFA4oDhgNjAygC8gLWAtICzgK9Ap8CgAJmAk0CMwIaAgcB+AHrAdgBwQGmAYwBdwFmAVgBRwE0ASQBGwEYARUBEAELAQYBAAD5APIA7ADjANMAuQCcAIAAaABVAEkARgBGADsAHf/2/9f/yf/E/7n/qv+c/5H/gv9n/0P/Gv70/tH+s/6Y/nr+V/4z/hH97v3L/av9kv17/WL9Rv0q/Q788fzV/L38qfyU/Hz8ZvxU/Eb8OPwn/BL7/vvs+9770/vI+7r7q/uc+4z7f/tz+2j7XvtW+0/7Rfsy+xf6/Prp+uH63/rc+tb6zfrF+r/6t/qs+qD6lfqK+oD6evp5+nr6ePp1+nH6a/pk+mD6Yvpl+mX6Yfpi+mj6bvp0+nv6hvqO+pX6m/qj+qj6rPqz+r76yfrO+tD60vrV+tz66/sA+xX7Jfsz+0P7Uvte+2b7b/t3+377hPuL+5D7kPuQ+5X7nPue+537nfug+6D7nfuZ+5b7kfuM+4b7f/t1+2v7Y/te+1X7SvtB+zf7KvsY+wf6+/rz+u/67vru+ur64frY+tP60frP+tD60frR+s76zfrR+tf62vrZ+tb60frK+sL6vfq9+sD6w/rF+sj6zPrR+tb63frj+uv69fr/+wr7Ffsh+y77PftO+1/7cfuD+5f7q/vB+9r79/wV/C/8Svxo/If8qPzL/PP9Gf07/V39hv2y/dn9/v4o/lf+gv6m/sr+9P8g/0//gP+v/87/3P/m/+z/0v9+/xH+5f9VAGEBpgKjAyMDYQPDBIMFhgaIB0gHqAe6B6AHXgbCBaUETwNdAz0DxQR0BPkFWgW7BiUGnAchB6UICAg3CE4IcgioCN0JAgkYCSYJLgk3CUIJSQlECTMJGgj/COgI0wi3CIwITwgKB8EHcAcaBtAGoQaCBloGFgWzBTwEwwRbBAkDxQOLA18DQAMbAtoChgI8AggB1wGPATAAyQBtACL/5P+u/3f/Pf8J/tr+qP5q/h/90P2A/Sz81fx//DH76/un+1/7DPqz+lv6CPm++Xr5O/kC+NH4qPiG+Gr4UPg4+CL4EPgD9/z39vfr99730vfK98L3tvel9433bvdJ9yr3GPcR9wr2/Pbm9sz2sPaX9oX2ePZq9lr2U/Zf9nr2lfae9pD2f/aF9rD29Pc793T3oPfI9/f4N/iL+On5RPmj+hT6lPsJ+1v7hvuZ+6X7tvvQ+/L8F/w+/G38rfz4/UT9iP29/er+F/5E/mf+dP5z/nH+XP4G/WH8pvws/BP8Lvw+/DL8H/wa/B/8Jvwr/DD8OfxI/F78dPyI/Jz8s/zO/Oj8//0P/Rb9G/0p/UT9aP2K/ab9vf3U/ez+B/4m/kj+Z/6B/pf+r/7M/vH/H/9R/4P/s//kABYARwB2AKUA1gEJATwBbQGfAdECBAI5AnICrQLlAxYDQQNrA5ADrAO+A88D5wQIBDAEXASHBKoEwATMBNkE8AUSBToFYwWFBaAFuAXSBewF/QYGBg8GHwYvBjwGRwZWBmQGaQZlBmEGXgZaBlAGQgY0BiUGFQYKBgQGAAX7BfMF7QXpBeYF5gXsBfkGCAYVBh8GJQYnBikGLQYzBjYGNQYyBjEGNAY4BjkGMQYjBhEF+wXZBWkFOQUjBQ8E4ASYBFsEPQQxBBoD8wPPA70DtAOmA5MDhAN6A3MDbANjA1cDRgM0AykDJgMlAyIDHgMcAxoDFgMQAwwDCgMLAxADGQMmAzcDUQN5A68D7AQpBGAEkAS0BMgEygTDBL0EvQS9BLUEpgSRBHsEZwRYBE8EQAQcA9oDhQMrAtgCkgJXAiUB+gHVAbQBkgFrATsBAQC9AG8AHv/S/4//T/8P/tL+m/5p/jj+CP3b/a39e/1D/Qz84PzN/NX86vzv/M38g/wg+7H7Qfrd+ov6T/op+h/6M/pX+nz6nfq9+t/7Dvtn+/H8cfyA++77CPpq+nP68/te+0z6z/pP+hr6I/ou+h76Afnn+c75vfnB+cr5qvlV+P341PjR+L74fvgo99T3gPcm9sf2a/Ye9fP17PXh9ab1QvTl9Kj0aPQC84PzFPK98nLyNPIO8frx4PG78Z3xlPGW8Y7xePFa8T3xJfEQ8PbwzvCX8FjwHu//8A/wTfCa8MTwqfBV7/zv3PAZ8JnxF/Fb8WTxWfFc8WjxavFm8XPxn/HO8dHxmvFQ8SrxLfEz8SHxBfDw8NTwqfCH8IbwjPBx8EDwKfA48ETwLfAD79nvoO9U7xrvE+8q7zDvF+7w7rvubO4M7brtge1L7QnsxeyG7EfsBevM653rY+sS6r7qfOpG6gzpyemL6VLpGejf6KroeehG6A/n4Oe/56LnfedR5yXm/+bW5pzmSeXi5XblFeTH5IXkSOQY5A3kLeRX5FnkI+PV44zjP+La4mPh9OGS4S7g0OCS4HLgUOAX39/fvt+p343fbt9f31rfS98z3yDfFN8C3ure2N7I3q/elt6T3qreyd7l3w3fRt+D37Xf3N/94A/gE+Ai4EzgheCv4MDgwuDG4Nbg/uE94YDhueHs4iLiXOKQ4sPjAONG44rjzeQV5F7kpuT55Wjl5OZE5nfmj+an5sDm4ecj55XoFuh26LbpAel06f/qger262PrxuwY7Gfsxe017avuHu6P7vjvS++P7+Xwd/FJ8ibyyvMd81LzuvRu9TL1v/YU9m727fdv98j3//g6+If41/kr+Zj6Dvpd+mn6VvpX+nT6lvrD+xD7bvuo+6f7lPui+9j8K/zE/en/owGYA1cEugXiBuQHoAfzB/UH7QgNCE8IlgjhCT4Jqgn8Cg4J6Am5Ca0Jygn3Ch8KTQqZCvsLTgt7C5sL2Qw0DIgMwAzzDTANaA2CDZANug4HDl4OqA7iDw4PKg8/D1oPdg9+D2gPPQ8HDswOpQ64DwwPfg/pEEcQpBD7EUYRixHJEeURyhGYEYkRrhHfEfkSBRIeEkMSZRKHErYS7RMNEwoS8hLdEtESwBKjEoESbxJtEmISMxHnEakRoxHQEgcSIhIVEewRxRG/EesSOxKdEw8TqhR7FWwWUxcYF78YXBj1GXcZ0hoHGiYaOhpJGlYabxqdGtcbBBsXGxQbDRsOGxkbKRs8G1EbahuJG68b1xv8HBccKxxFHG4cnxzOHPsdJh1FHU4dRR1CHU0dXR1tHYUdnx2aHWUdKx00HZUeFR50HrUfDB97H6Ae/x11G2wZghgeF00W+hccF6sYfhlUGf4abRqnGrgasxq1GtcbHht6G8kb5Bu9G2YbBBqqGlYZ+BmMGSAY2BjjGUAZshnzGgcaLRqIGu0bGhr4GqMaOhnVGYQZQhjvGHAXzBcoFqMWTRYuFj0WYhaMFsEXChdNF2EXPhcAFr0WbBYJFaYVVBUMFMYUjRRyFHMUfhSDFHsUYRQyE/QTrBNeExIS0RKbEmcSMBH8EdERqBF3ETsQ+RC4EHsQSRAiD/wP1A+sD4cPYA86Dx8PEA8BDucOyg63Dq8OpQ6PDmwOQA4QDeINqQ1cDREM9g0SDScM9QyODEQMRAxrDH4MZwwvC9sLdQsZCtsKsQqFClYKNAodCgMJ3Qm3CZYJdQlPCSsJDgj2CN8IyAixCJoIgghnCEkILwgkCCYIIAgBB9AHpweVB5YHoge1B8cHzAe9B6IHhwdsB0kHHwb1BtMGuwasBp8GlgaXBqUGsgasBpMGewZ0BnsGhQaRBqEGqQaaBncGVQY6BhYF4QW1Ba4FuwWuBXsFTQVQBXEFdQVGBQgE7ATxBPIE2wS3BJcEfwRrBF4EVQRDBCgEDAP+A/oD+gQABAwEFAQLA/UD4wPcA9UDxwO4A7IDrwOoA54DmQOYA5ADgAN0A3IDcwNiAzgC/wLOArMCqQKeAocCaAJMAjYCHwIDAeoB2QHMAbsBoQGFAWwBWAFGATMBHgELAP8A+QD3APUA9ADyAO0A5ADaANIAygC9AKgAjABwAF8AYgB+AKgAzQDYAL8AggAw/+f/uf+m/5//l/+M/4D/cv9b/zr/Ev7r/sn+rP6P/m7+S/4o/gb94P27/Z39iP10/Vv9Pv0k/Q789vze/Mf8svyb/IH8aPxT/EP8M/wj/BD7/fvs+937z/vC+7X7qPua+4v7fPty+2r7Zftf+1b7R/s0+x77Cvr7+vP67/rq+uT63PrW+tL6yvq/+rL6p/qb+pL6jvqP+pH6kfqP+o/6jfqH+oL6gvqE+oP6gfqB+oT6hvqJ+pH6nfqn+q76tvrB+sn6zfrU+uL67/r3+vr6/fsC+wv7Gvst+z/7TPtY+2f7dfuB+4r7lPuc+6H7pvus+7D7r/uu+7T7vfvA+737vPu9+7z7ufu2+7T7rvum+5/7mfuP+4L7d/tx+2r7YftX+037Pfso+xH6//rz+uz66frn+uP63frX+tP60frR+tP61vrX+tX61PrZ+t763/re+tv61vrP+sj6xvrI+sz6zvrP+tD60/ra+uH65/rr+vL6/PsJ+xT7H/ss+zr7SftZ+2n7evuN+6H7t/vO++j8Bfwg/Dj8Tvxp/In8qfzK/O39Ev02/Vj9fP2k/c/99v4c/kP+bP6Y/sT+7/8a/0b/d/+n/83/4P/q//H/6v+z/0v+8v8P/9EA/AISAs4DTAPTBIcFXgZDBxUHqQfhB8gHeQbcBc0EdgNpAyQDlgREBM8FMAWKBe0GYAbsB4UIBghQCHEIkQjCCPcJHAksCTIJPglXCXMJfAltCVQJQAkvCRMI6Qi4CIUIUggcB9sHiwc0Bu0GxgazBpQGUAXlBWIE3QRsBBsD5gPBA6YDkANwAzsC9QKxAnMCLQHTAXABEwDFAH0AN//0/7f/gf9O/xr+4v6i/lr+Cv21/Vv9APyr/F38FfvP+4f7Ofrl+o/6Ovnr+ab5aPkx+Pz4zvio+Iv4c/hb+EL4Lvgf+Bf4EfgJ9/337vfh99j30vfE96n3gvdZ9zj3I/cS9wD28fbo9uD20va89qX2j/Z69mn2YPZn9n32lvag9pT2gfaJ9rv3CfdV95T3yPf7+DL4c/jA+Rb5b/nR+kD6t/sc+1/7hPuc+7D7xvve+/r8HPxG/H78yP0a/WX9nf3C/dz9+v4g/kb+Xv5o/mv+Vv4C/V78m/wS++z8CPwl/CP8D/wC/AL8CfwN/A/8F/wr/En8Y/x0/IL8l/y2/Nb87/z9/QP9Cv0a/TX9VP1x/Yj9nf2z/cv95v4D/iP+Q/5g/nj+j/6q/s7++f8q/17/lf/OAAUAOABnAJUAwwDzASUBWAGJAboB6gIdAlICiQK9Au0DGAM+A2IDgQOZA64DxgPmBAsEMgRbBIAEnAStBMEE4QUQBUEFawWLBaMFuwXUBesF+gX/BgYGFAYnBjYGQAZIBk8GTwZJBkAGOAYwBiQGFgYIBfsF7wXnBecF7AXuBewF5gXiBd8F4AXnBfQGBAYSBhkGFwYSBg8GEAYWBhwGHQYaBhgGGwYhBh8GEgYBBfAF1gWmBUMFKAUxBS8E9wSZBE4EMAQnBBED7QPQA8EDtAOgA44DgwN8A3UDbQNmA10DUANEAz0DOgM3AzMDMAMwAy8DLgMsAysDKgMpAy0DNQNCA1EDZwOHA7MD5gQYBEEEYQR5BIwEnwS1BNIE8gUIBQkE9gTbBMIErwSeBI8EegRWBBgDwANeAwgCyAKYAm0CPgIRAewBzwGuAYMBTQEOAMUAdwAr/+X/of9f/yL+6v62/oX+Wf4v/gD9yf2R/WH9O/0g/Rj9If0o/RD8xvxU+9T7YfsG+r76gvpa+lz6i/rN+wH7Gvse+xn7Ivtc+9L8Tfxi+9L63foj+iH6w/t1+6H7Jfpo+ej50vn3+hX6DPnk+bf5ovm3+d756PnI+aH5j/l0+R/4lfgP97P3cPcl9sf2afYi9f317fXQ9ZH1P/T/9ND0ifQT84vzGfLC8nryQfIh8g7x9PHR8bjxsvGz8a3xnPGI8XLxWfE+8Rrw5/Cl8GLwNPA78IvxD/GJ8bLxcvDu8G7wL/BM8LPxLvGG8ajxqPGn8avxqvGa8YrxlfG78dbxvfF68UTxRPFi8W3xUfEj8Pvw4/DX8NHwwPCf8IPwffB/8GfwNvAN7/bv1++c717vPu857znvNe8t7xDuz+557ivt6+2p7WHtH+zh7JvsVuwi6/rrwOtr6xLqz+qZ6l7qG+nc6aLpZ+kr6PXoxeiU6GToPOga5/fnzuek54DnXucx5uzmjuYi5brlZOUg5OXkr+SF5HbkhOSZ5JDkW+QO473jZuL94oviI+HJ4XLhIODk4MDgnuBu4EDgJOAN3+3fzd+937Tfn9+B32rfW99H3yzfF98H3u/e1N7M3uDe/t8c30XfgN+93+rgCOAc4CfgLeA/4GvgoODH4Nbg2eDf4PLhHeFf4abh3+IQ4kbigeK34ufjIONi46bj6OQs5HLkuuUQ5X/l9uZM5nPmhOaa5rjm3uco56LoKOiF6Lzo/eln6eTqWerI6zzrpev17Dvsne0h7azuI+6I7t7vIu9d77TwTfEk8fvyk/Lk8yTzlvRF9Pj1dvXD9hX2iPb+91P3kPfY+DT4lPj0+Wf55PpB+mL6Yvpr+oH6k/qo+tX7GvtT+2z7dvuG+537wPwf/PH+N/+pAQACMgNcBIYFiwZCBq8HAQdfB8kILQiKCPAJYgnDCfIJ8AngCeUJ/goVCigKVQq3CzULjQujC6wL7AxbDK8MxAzIDO8NJA0zDR0NHA1TDakN9w4wDlwOfQ6WDqoOtw6yDpoOfw5oDlEOPQ5FDnQOsA7cDwAPNw+KD+oQVhDLES0RVhFKEUARXRGREbURwxHOEeIR+hIZEkwSjxLFEtUSxBKmEokSZRIyEfYRxBGkEYERRREBEOkRIhGVEf8SLxImEgcR9RIEEjsSkhL+E4IULBUAFecWtxdYF9sYXBjhGVYZqhnkGhIaNRpFGkUaURp6GrIa2hrkGt4a3hrtGwIbFBsjGzgbUxtyG5IbsxvSG+scAxwjHFEchBy1HOUdFR05HUUdPh01HTIdMh01HUUdWh1VHSYc9Bz7HUUdpB3zHlIe/x/qIJggbx88HV0bcxnwGPEYahhXGK8ZUhoLGq8bJxtmG2YbNBr0Gswa1BsPG2UbrBvCG6MbYRsVGtMapBp+Gk4aEhnnGeMZ9hoBGgwaPhqcGvkbHhr+Gq0aPxnLGWgZKRkEGOEYpRg8F64XIxbLFqQWgBZQFkUWkhcPF14XVRcXFtIWihYzFdwVlRVaFRoU3hS4FKUUmhSMFHoUXxQ4FAcT0hOVE1ITEBLbEq4SfxJOEiER9BG9EXwROBD3ELkQfhBJEB0P+g/bD7sPlQ9wD1QPQw8xDxoPAw7xDuEOzg63DpYOag49DhgN8A2tDVsNLQ05DUsNIgzLDJYMowzDDLcMfAwwC+ALigs6CwIK3gq2CoYKYApICjEKEQnvCdMJtgmTCW4JTwk2CR8JBgjqCMoIqQiJCGwIUAg4CCUIFQgHB/4H+gfyB98HywfKB94H7wfnB8gHoweCB2IHPwceBwIG7AbYBsMGsAanBq4GuQa3BqMGiQZ5BnUGegaIBpsGogaSBnEGUQY2BhIF4gXABb8FxwWsBWoFOwVJBXoFhgVQBQEE1gTWBOAE1wS7BJoEeARYBD4EKgQSA/MD2gPRA9UD2wPiA+oD6gPcA8YDuwO8A70DtAOlA5oDlQORA4wDigOKA4YDfANuA2EDXQNcA0wDIALfAqYCiwKBAnICVgI5AiMCDAHvAdIBvQGtAZoBgQFnAU8BOwEmAQ8A+ADlANoA1QDUANQA1QDWANEAxgC6AK8AogCQAHgAXQBGAEIAZQCxAQcBOgEwAPMAmgA5/+H/ov+F/4H/gP95/23/YP9O/zH/C/7k/sL+o/6D/mD+O/4a/fr91f2w/ZP9gf1v/VT9Nf0Z/QX88/zf/Mv8tvyg/If8bfxX/EX8NPwj/BL8Avvy++P71PvG+7f7qvuc+4z7fPtw+2v7aPtj+1j7R/s2+yb7GvsQ+wb6/vr4+vL67frp+uX63vrU+sj6vPqw+qb6ovqk+qb6pvqn+qn6qvqn+qH6oPqj+qT6o/qk+qX6o/qi+qn6tfrA+sf6z/ra+uL65vru+vz7DfsZ+yH7Kfsy+z77S/tc+2v7d/uC+477mfug+6n7tPu9+8L7xfvL+8/7z/vP+9T73fvh+9/73fvd+9v71/vU+9L7y/vA+7j7s/ur+577j/uF+337dfts+2H7UPs3+xn7APrx+un65Prf+tr61/rW+tb61frV+tf62vra+tn62/rg+uT65frj+uH63vra+tX61PrW+tr63Prc+tz63frk+uz68vr2+v37CfsV+x77Jvsy+0L7Uvth+3D7gvuV+6r7w/vc+/T8Dvwp/ED8VPxq/Ij8qfzH/OX9Cf0w/VL9cv2X/cP97v4R/jL+W/6L/r3+6/8W/0D/av+X/8P/5f/2//7/+//V/3b/BP7r/3cAhwGqApADQQPkBIYFKwXwBtwHrggKB+EHbQbUBfcE1wPYA3oDyAReBNgFJwVtBcAGKAayB1wIAAhwCKEItQjOCPQJGAkrCTUJTQl8Ca8JwAmoCX8JZQlYCUAJEwjXCJsIZAgwB/YHsAdjBx8G9gbeBrwGeQYPBYsFAgSOBD8EEwP6A+UD0AO2A5ADXAMeAtoCiAImAb8BYgESAMkAfwA4//n/wf+J/03/Dv7N/oj+Ov3h/YT9K/za/I78RPv9+7j7cfsl+tL6evol+dn5mvll+TP5BPjb+Ln4nPiC+Gz4WvhO+ET4Pfg2+Cr4GfgI9/339vfm98H3ivdV9zD3GvcH9vf27vbx9vX28fbi9tD2v/au9p72lfaa9q72x/bV9s32wPbK9vj3PPd/97v3+fg8+ID4wvkH+Vj5tfod+oj66/s1+2T7hfuk+8P73Pvy/A38Mvxh/Jz84/0r/Wn9lP2s/b390/30/hf+Lv44/jr+K/3q/WL8tPwm++f77PwC/Ab7+/vv++778Pvt++n77/wI/C38Tfxg/G78hPyn/Mr84/zu/PP8/P0O/Sf9Qf1W/Wn9fP2S/av9yP3l/gT+Iv5A/ln+cP6J/qv+1P8C/zT/a/+k/9wAEABAAG0AmQDIAPsBMgFmAZgBygH9Ai8CYQKUAsYC8wMcA0MDaAOIA6MDwAPhBAMEJAREBGUEgwScBLoE6AUkBV8FiwWnBb0F0QXiBe8F9gX4BfsGBQYSBhwGHwYfBh8GHAYVBgsGAwX9BfYF7QXjBdoF0wXOBdEF1wXcBdoF0gXMBcoFywXSBd8F8QX9BgAF/AX3BfcF+QX+BgQGCAYHBgQGBQYIBgIF8QXfBdEFtQV/BRoFBwUcBSAE5wSEBDgEGwQTA/4D4QPOA8UDuAOiA48DhQN9A3UDbwNsA2cDXgNWA1EDTQNIA0QDRANHA0kDSQNKA0sDTQNPA1UDXQNmA3MDhAOcA7sD3wQEBCMENwRFBFoEfASuBOsFKgVZBWcFUAUjBPgE2gTGBLUEnwR8BEID6gOAAyIC5gLHAqwCgwJRAikCDQHxAckBkwFVAREAyQB/ADb/7v+r/2//Ov8I/tf+qf57/kf+D/3c/bT9j/1o/Uf9Pv1D/TT88vyA/AH7lvtH+wP6wvqc+rH6//tZ+4z7kPt6+2P7Wvtx+7P7//wF+436uvoH+fD6hftX+8L7b/qX+c/5g/mt+fb6Efns+az5h/mZ+dT6Dfor+jL6IPnZ+Uj4kff495/3a/cw9uP2lPZT9iT1/vXO9Y31SPUO9Nf0h/QU85fzLPLX8pLyYfJG8jHyFfH18d7x1fHP8cjxwfG68azxlPFy8UjxF/Df8KbwhPCg8RHxsfIh8hHxiPDe8GvwU/CI8OrxWPGx8d/x5vHd8dTxy/Gz8ZPxjPGw8dzx1vGQ8UrxR/GC8bLxovFm8TLxIvEl8R3xAPDf8NPw2fDT8KLwWfAl8BbwC+/k76fvb+9O70XvT+9e71fvK+7o7qLuWu4J7bvte+0/7Prss+yA7FjsHOvE62vrJ+rx6rTqb+ot6e7pr+ly6T3pEOjl6Lzol+hv6EPoGOf359zntud65ybmxuZj5gflueV45UPlG+T/5O/k5+Te5MTkjuRC4+zjjuMn4rziXOII4brhceE64Rfg9uDP4Kngi+Bt4EngKeAY4Anf7d/L37Tfpd+P33LfXd9R3z/fJ98h3zffWN9535/f0uAG4CngPuBO4F3gaOB84KDgyeDn4PXg/+EM4SPhT+GQ4dfiD+I84m/iqOLd4w3jQ+OC48PkAuRD5Ibkz+Ur5aDmFeZh5nrmg+aY5rjm5Oc257joP+iS6Lno7elR6cvqOeqi6xXrgevS7Bvsh+0c7bHuJ+6A7s3vD+9I75bwHPDY8ZzyNfKe8v3zffQf9Lr1KPVw9bv2IvaO9uP3Jvd199j4Q/iv+Sf5pPoJ+kX6aPqP+rn61vro+wL7JvtB+0r7TPtY+2/7mvvy/Iz9WP4w/v//0QC+AdAC7QP1BNQFkwZCBuUHcgfoCFYIxwkwCX0JqAnFCeYKCAobCioKXwrWC2oLzgvkC+0MNQyrDPgM9wzlDQgNRw1XDSsNBA0TDUgNfQ2pDdsODQ4zDk0OYA5qDm8Oeg6QDqAOpQ6vDs4O6w7qDtUO0Q71DzgPmhAfEKoQ/xEEEOsQ+xE+EYYRrhG8EcgR1RHmEggSQBJ7EpoSjBJdEh4RzxFsEQEQqhB5EGIQTBA5EEwQoBEbEYgRxxHgEfISDxI8En4S3BNYE/AUpBV0Fk4XCxeXF/kYUBiuGQsZXhmrGfUaLBpAGjwaQBpjGpIasBqzGq4asxrDGtQa5Br6GxwbRhtrG4kboxu8G9Ib6RwHHDEcZByZHM0dAB0qHT8dPx02HSgdGR0THR0dLR0lHPoc1BzeHRcdTx14Hc0emR/QIOchNSB0Hu4dPBvaGvQagxpyGqgbCRuBHAUcfxzKHMUcchvxG2wbBhrZGu4bLhtxG5YbjxtkGzUbHxsmGy8bGxrsGrsalBp4GnMalxraGxYbJxsFGrQaNBmTGPgYlBiFGL8ZAhkAGJcYAReTF08W5xY/FbgVxRZXFu0XJxcQFt8WqRZuFjYWDBXhFaUVYRUjFOkUrBRyFEIUGhPyE9ATvBOpE4YTVRMnEv4S0hKiEnMSRRIMEcYRgBFCEQYQxhCFEFAQKhAOD/MP1Q+2D5kPfg9kD1APQg8zDxkO9g7WDrcOjQ5cDjkOIQ30DaoNbA1dDWINRQ0IDOMM7Qz0DMoMfgw6DAILvQttCywLBArhCrcKkgp7CmoKUgo3Ch4KAgncCbEJigltCVMJNwkVCPAIygirCJIIfAhgCEAIJAggCDoIYAhvCFMIHgf6B/cIAwgCB+sHyQelB4IHYAdDByoHFQcABusG1AbBBrcGtwa1BqkGlgaDBncGcwZ6BoUGiQZ6Bl0GPgYfBfsF1gXDBcsF0QWwBW8FQwVVBYgFmgVmBRAE1wTOBNkE2QTEBKEEdARBBBQD9QPgA88DvwO0A68DsAO4A70DuAOnA5gDlwOhA6YDmwOKA3wDdgN2A3gDdgNzA3EDcANlA00DPANAA0wDNwL0AqYCdgJoAl8CSAIsAhQB/AHeAb8BpQGPAXgBYQFLATcBIQEJAPIA2QDCALMArQCsAK0ArwCwAK0AowCWAIkAeABiAEoAMwAiACYAWgC8ARwBOwEIAKsAUwAM/8r/jv9r/2T/aP9k/1n/TP88/yT/Av7b/rj+mP52/lH+Lv4O/fD9zv2r/ZD9fP1p/U39K/0N/Pj85/zW/MP8sPyc/Ib8cPxc/Ej8Nfwj/BP8Bfv4++z73/vS+8P7tful+5P7f/tw+2j7Zfth+1f7Sfs8+zP7Lvsm+xr7D/sI+wT7APr9+vn69Prr+uD61frJ+r76uPq4+rr6u/q8+sD6w/rA+rz6vfrB+sT6xfrG+sf6xfrC+sb60frc+uP66/rz+vn6/PsE+xT7J/s2+0L7UPtf+277evuI+5T7nvuo+7L7uvu9+8T7z/vb++H75Pvo++377/vw+/T7+/v/+/77/fv8+/f78Pvr++r75PvZ+8/7y/vF+7r7q/ud+5L7ifuB+3b7Y/tH+yb7C/r8+vX67/rm+t/63frg+uL64frg+uH64vrh+t/64vro+u367frs+uz67Prs+uv66vro+uj66frr+uv67frx+vn6//sD+wv7GPsi+yj7Lvs6+0v7W/tq+3j7iPuZ+6/7yvvk+/r8Efwr/ET8WPxt/In8qfzH/OL9BP0s/VD9bv2P/br95/4L/iv+Uv6A/rD+4P8Q/z3/Yv+I/7f/5gADAA0ACv/s/5T/Gv7g/0YARAFzAn0DVgQLBJcFDwW1BqkHmQf/B7kHJgabBgUFOARpBAgENwSoBQIFNwVsBbUGFgabB0sICQicCOII6wjmCPEJCgkhCTQJWAmaCeIKAgnoCbMJigl5CWcJQQkHCMIIfwhCCA8H3QehB2IHLAcDBtcGlAYvBa8FKQS4BG4ERQQsBBMD/APqA9MDrANyAywC3AKAAhwBugFiARUAzACEAD7//P+8/3r/Nv70/rD+Y/4M/bT9Yf0T/Mb8efww++z7p/td+w36ufpj+hX50/me+XD5RPkb+PT40Pix+Jv4jviE+Hr4cPho+F34Svg1+Cj4H/gI99D3f/cz9wL27vbo9uj27/b99wn3CvcF9wH2/vb69vL27fbz9wT3Gvco9yr3KPc091X3gvew9+P4KfiB+Nf5IPlj+a/6C/pw+s/7GvtM+2z7i/ut+8775/v//CD8TvyB/LT85/0b/Ur9b/2J/Zz9sv3P/ez9/f4A/f398f3F/WH80fxG++z7zPvO+9P71fvX+9r72fvQ+8b7y/vk/A38NfxQ/Gb8gPyi/MT82vzj/Oj88v0D/Rb9J/04/Ur9Xv11/ZH9sf3R/e7+C/4m/j7+U/5r/ov+tP7g/w3/Pf9w/6X/2gAOAD4AawCZAM4BCAFBAXcBrgHlAhoCTQKCArkC6wMWAz8DaAOMA6wDywPuBA4EJwQ9BFgEdwSWBLsE8gU0BXAFmQW1BcsF3AXkBeUF5QXlBeYF6gXwBfQF8gXtBekF5QXeBdYF0wXSBdAFywXFBcAFvQW7Bb4FxQXKBcYFvQW3BbcFugXBBc4F3QXmBeMF3QXcBeAF5QXnBe0F9QX5BfUF8QXsBd8FyAWzBaQFiQVTBO4E1wTgBNwEpgRTBBgEBQP9A+gDzwPDA8ADtgOjA5IDhwN+A3gDeAN8A3oDcgNqA2YDYgNcA1oDXQNjA2YDZgNnA2oDbwN3A4EDiwOUA6ADsQPDA9MD5gP+BBcEKAQzBEkEdgS7BQ8FYwWmBcAFpwVrBSsFAQTqBNgEwAScBGUEDwOgAzkC+wLnAt4CwgKTAmkCTgI1Ag8B2gGcAVkBFADLAIIAO//4/73/if9Y/yb+9f7E/pD+W/4u/gr94f2u/X79Zf1g/U79D/yl/DD7z/uF+0L7Bfrt+xz7g/vi/AL76Pu9+5/7jPuA+4L7jvt/+y36n/oX+e76U/sU+6r7m/rn+gr5k/ml+fP6Hfn++br5ifmP+cr6G/pa+mr6OvnG+SL4gPgI98H3jfdU9xP20faS9lX2G/Xi9aT1XPUM9Lf0WvP485rzRPL28rfykPJ58mPyQvIf8gfx+PHu8ejx6vHs8eTxzPGo8YDxWPEr8Pfw0vDy8XbyLPKQ8kPxavCV8DvwZvDQ8T3xmPHd8gPyBvHy8dvxy/G+8bHxu/Ho8hnyDvG28VfxSfGR8dvx3vGi8WnxWfFi8WDxRPEm8R3xJ/Ei8PHwpPBo8FHwR/Am7+jvpe9272nveO+O75Lveu9R7xvuz+5y7hrt2O2h7WHtH+zp7LjsdOwZ68LrgetJ6wnqw+p+6jvp+em96Y3pY+k76RXo8ejF6JLoZehI6Czn+eer51Hm++au5mPmGOXU5aPli+WA5XLlVuUx5Qbk0eSJ5DHj0uNu4wriq+JU4gbhxOGU4XXhWOE24RLg7+DJ4KHggeBs4FbgNeAU4ADf8t/Z373frt+q36Dfj9+P36vf0t/y4BHgOOBf4HrgjeCj4LngyuDZ4O/hCOEc4S3hQOFW4XLhnOHY4hniTOJ14qLi1eMG4zXja+Op4+fkIuRf5J/k6OVH5cHmNeZ45oTmhOaV5rbm5+dC583oU+ia6K/o2+lC6cHqLeqK6vDrWeu07BDsjO0k7bHuGu5u7sDvC+9H74fv7/CH8TXx1/Jh8uPzbPP+9IL04/Uo9W31yPYs9oP2z/ci94j3+fhu+On5Y/nL+hv6Y/qu+vT7JPtD+1/7efuB+3D7U/s/+0b7efvf/Gn89/10/eT+W/7u/60AmQGjAqsDngR+BVEGDwavBzoHvgg+CK0JAglDCXsJqAnDCdsKGQqUCykLlAu7C9kMLAymDPUM/Qz/DTwNkw20DY0NWw1QDWMNgQ2xDf0OSg53DooOnQ64DtYO+A8fD0EPVw9xD5sPvQ+xD30PTg9FD10PlQ/0EGUQphCQEFcQVBCgEQYRShFuEYwRrRHHEeASChJCEmQSURIHEZMRAhBaD7UPPA8ODyEPUg+HD8MQEhByENQRMBGMEeoSQRKLEtgTPxPKFG8VIhXfFp4XRhe+GAkYQRiAGMkZGhlyGckaDBoqGi8aOBpTGnQahxqLGo4amBqmGrQayRrwGyUbWhuAG5YboRutG70b0BvpHA0cPRxzHKwc4x0RHS8dOR0zHSIdDx0GHRAdIR0aHPUc0RzSHO8dAx0KHUweGB9nILUhWyEHH+sejR1jHKscaBx3HKoc5h0vHZceCx5VHkkd5h1MHJUb3xtPGwgbCBsuG1MbZRtoG2obfhujG8IbvhuYG2IbLRr/GuQa6BsGGyYbNhspGukaYxmbGMEYHhfzGEoY3BkrGPUYdxgeF/MXhBaTFYwVHxV7FjMWxRcKFxoXCxbrFs0WsxaGFjkV3RWEFSwUzRR2FDQUARPRE7ATrRO5E7gTnhN5E04TGRLgErESixJdEhkRzhGMEVMRGRDbEJ8QbRBFECcQDg/3D9wPuw+ZD4EPdg9oD0cPHQ79DuUOvw6IDlwOSQ4yDfwNuw2XDY0Ndg1JDScNIA0SDN8MoAx4DFoMHAu9C2gLOAscCvoK1Qq7CqkKlQp9CmQKSAohCfIJxQmhCYEJYAk7CRMI7gjQCL0IsQieCH0IXAhVCHkItgjXCLwIcwgsCAgIAwgDB/sH6AfMB6kHhgdmB0oHMAcZBwUG8AbXBr8GrwanBqIGmQaKBnsGbgZoBmcGYwZWBj0GGwX2BdQFwgXGBdkF3wXDBY0FZQVnBYYFjwVmBR4E5gTUBNcE0QS6BJMEYQQlA+8D0wPZA+4D8gPXA7ADlwOXA5wDkwN/A3MDeQOFA4YDeANlA1cDUgNWA1wDWQNPA0wDUwNQAzMDFAMVAzEDNQMBAq4CcAJYAk0COgIiAgsB8gHTAbMBlgF5AV0BRgE0ASEBCQDwANcAvQChAIwAggCBAIIAgwCFAIMAegBuAGIAUAA5ACMAEQACAAMAMACMAOQA9QC2AF4AJAAC/9X/lv9i/03/Tf9M/0P/Nv8o/xL+8/7P/qz+iv5o/kX+I/4G/er9y/2r/Y79dv1f/UL9IP0A/On81/zH/LX8o/yR/IH8cPxf/Ez8OPwl/BT8Bvv7+/L76fvf+9L7xfu2+6H7iPtz+2b7Yfte+1j7T/tH+0P7Qvs8+zH7Jfsg+x77HPsX+xP7DvsH+v368vrm+tr60vrP+s/60PrR+tX61/rV+tT61vrc+uD64vrk+uj66frn+uj68Pr7+wP7CvsR+xX7Gfsi+zP7RvtV+2P7dPuH+5f7pPuw+7r7wvvK+9L72Pvb++D76/v4+//8A/wH/Az8DvwP/BH8Fvwa/Bv8GvwX/BD8BvwA+/77+vvw++X73vva+9L7xfu3+6r7oPuW+4r7dvtZ+zn7IPsS+wz7Bvr++vX68vrz+vP67/rs+u367/rt+ur66/rw+vT69fr1+vX69/r6+v36/fr5+vX69vr6+v36//sC+wj7DfsR+xn7JPst+zL7OftI+1n7aPt1+4P7kPud+7D7zPvo+/38EPwp/Eb8Xfxw/Iv8rPzL/Ob9B/0u/VP9cP2O/bb94f4G/ij+Tv53/qD+zv8F/zz/ZP+E/7D/5QAKABcAFwAD/7v/Qv7v/ysACQE8AmkDawQ2BL4FHAWhBngHUAehB00GvQZRBfYFcATUBIAEnATtBS0FWAWPBd0GOgawB1IIFAi9CRsJKwkWCQgJEAkmCUEJbQm2CgcKNAolCe8JvQmiCY8Jbgk1COoInAhbCC4ICwffB6IHYQcpBvYGsAZKBcsFSwTlBKQEfgRdBDsEIAQVBAsD7gO3A3EDKALaAn0CFgG2AWQBGwDQAIIAOf/2/7P/bf8l/tr+jP47/ev9n/1R/P/8rfxh/Bj7zft/+zL65/qd+lX6E/nb+av5gPlY+TL5Cvjm+Mv4vfi1+Kv4ofiX+Iv4dvhf+FD4Rfgm9933cfcL9s72wPbP9uf3APcW9yP3J/cr9zX3QPdG90f3SfdT92H3cPd994f3kfee97H3yPfj+BD4YPjM+Tf5i/nL+gv6V/qp+vL7KPtM+2j7hful+8H72fv1/B/8VPyG/Kv8x/zn/RD9Pf1k/YH9mf2w/cf91/3b/df9xv2b/UX8yfxG++D7qfuY+537q/u7+8f7yvvC+7r7vvvU+/j8IPxF/GT8gfyf/Lz80Pzb/OH86/z5/QT9Dv0d/TP9TP1l/YH9ov3D/eD9+v4T/iv+QP5Y/nr+pf7Q/vj/Hv9K/3z/tP/uACYAWACHALsA9AEuAWcBogHfAhgCTQKEAr0C8QMdA0YDcAOWA7cD1gP4BBgELgRABFoEeQSaBMAE8gUtBWEFhgWjBb0FzQXPBckFxgXIBckFygXLBcwFyQXCBbwFtwW0BbEFsQWzBbEFrAWnBaYFqAWrBbEFuQW+BbsFswWuBa8FtAW8BcgF1QXaBdIFxwXEBckFzQXOBdMF3gXmBeMF2QXNBbkFmwWABW4FVQUkBMkEpQSYBIQEUwQZA/oD9gPwA9kDwAO1A7MDqgObA5ADiQODA4IDiQORA5EDiAOAA34DfAN4A3YDewOCA4UDhgOIA4wDkgOcA6wDugPHA9YD6AP1A/oD/wQQBCwEQgRQBGYElwTmBUQFngXiBf4F5gWoBWUFOAUjBRAE8wTKBJIEQQPVA2sDKQMVAxMC/gLTAqkCjAJzAk8CHAHgAZ4BWAEQAMkAhgBGAAv/1f+i/2//Pf8M/tr+qP56/k/+IP3q/bn9mP2C/V/9Hfy8/Fb8APu8+4P7WPtX+5f8AvxV/F/8LPvu+8H7mvtq+zr7F/r6+s/6i/o/+hn6TPrc+3r7rvtJ+pf6GvoL+jf6TPos+fT5y/nJ+fL6M/ph+k356PlV+M34cPg2+AD3vfd09zL29/a39nP2NfYC9cn1d/UH9In0GfPG84fzSvMJ8tXyuPKp8pLyb/JL8jLyJPIb8hnyHPId8hPx//Hj8cDxmPFm8SXw8vEP8aryhfMB8qTxnvCl8E/woPEz8avx7vIP8iDyHvIG8ebx1fHd8fzyLPJl8ojyZ/H78YbxYPGX8eLx9fHN8aLxlvGf8Z3xhPFl8VXxWfFY8Tjw+vC+8JzwhvBh8CLv3++x76Tvru+7773vuO+t74/vSe7g7njuLe337cHthu1P7RPsxuxr7Bnr2Oub61nrFerR6ozqSuoT6ejpv+mW6XHpTuki6OvouOiS6GroK+fZ54fnRecL5srmgeY95hDmAuYA5e7lw+WM5VflIuTf5IvkL+PR42/jC+Ks4lriG+Hx4dXhvOGc4XfhUOEn4P7g2+DA4KLggOBj4FHgQeAo4BDgCeAM4Ajf/+AH4CjgT+Bs4IPgoOC94Nbg7+EP4SzhPOFB4UjhU+Fh4XXhkOGu4c7h+OIv4mfilOK54uHjDuM742rjoePf5BnkUOSI5MTlCuVp5eTmVuaP5pDmheaR5rPm6udP5+DoZeik6LHo2ulE6cXqK+p46s7rNuui7Bbsmu0k7Zjt9O5Q7rnvFe9S74Dvy/BJ8OvxlfI18sjzU/PW9Ef0nvTf9SH1dvXX9jT2ivbl90z3wPg8+Lr5MPmT+ez6S/qx+wr7R/tx+5z7yPvf+9L7pvtx+1T7b/vL/Ez8zP01/Yr91v4m/o3/Iv/jALEBeQJDAxsD9AS6BWoGFQbBB14H2ggzCHQIpgjOCPwJSQnCCkkKsgrtCyMLgwv7DFIMeAyiDQANbg2nDZ4Nhg2EDZQNuQ4JDn8O4A77DuUO2Q7vDxAPLw9QD3cPoA/QEAsQNxAvD/YPuw+jD6YPsQ/KD+sP6w+sD10PTg+YEAUQWxCeEOwRQhGGEbIR3BIMEiYSBRGcEPgQKQ9DDnAN5A3CDgIOeQ72D18PtBAIEG4Q8BGIEh4SnBL/E14T1BRmFQMVnRY1Fs4XWhfCGAMYMxhnGKYY7xlAGZUZ3RoIGhwaLBo/Gk4aVhpdGmwafBqKGp4awRr3GzIbZBuEG5IblBuVG58bsRvLG+4cGhxRHIwcxhz5HRwdLR0sHR8dDR0EHQ8dJh0tHRYc8RzVHMUcrRyXHMUdfh7BIB0g/iEPIGUfYR5mHbwdfB2QHcYd/R4+HpwfAB8yHxQeuB4+Ha4dChxrG/cbrht5G0obNxtTG5Ub3xwRHBwcAxvbG7IbihtfGzQbFhsNGxUbJhsuGwsanhniGP8YNxfYGAYYixjoGMYYWhghGDIYCRc3Ff8VGhT+FYQWQxbqF1IXdRdrF1gXPhcAFpYWIRW+FWgVEhTHFJIUZBQvFAAT8RP8FAIT9BPUE6ATWRMOEtwSyBKwEnkSKhHcEZ4RaxE3EP0QvxCGEFsQPxAqEBIP8Q/ND68Png+ND3EPTQ8zDyMPBA7MDpUOeg5oDkAOAw3UDb4NpQ18DVYNQg0sDQMM2QzIDLcMegwTC7MLfwtmC0YLGgr2Ct4KyQqyCpkKfwpcCjEKBAndCbcJkAlnCUAJHwkECPMI7QjlCM8IrgieCLYI6gkKCPIIqghcCCgIEggMCAkIAQfwB9MHsgeRB28HTAcqBxAG+QbgBsIGqQabBpYGkQaIBnkGZwZXBkgGPQYwBhkF9QXMBbIFtgXQBegF6gXSBaoFggVqBWIFWwVCBRcE7wTaBM8EuwSYBG0EPAQEA9QDzwQDBE4EagQ4A9wDmQOHA4oDfgNjA1UDXANlA2EDUQNCAzgDMwM2AzwDNwMnAx4DKQMwAxoC9QLuAwoDHgL+ArYCdQJPAjkCJgIUAgEB6QHJAaoBjQFuAU4BNAEhAQsA7wDUALsAoQCDAGoAXgBbAFkAWQBbAFkATwBDADkAKwAWAAP/8//j/9f/7QA2AI8AvACrAIMAaABMAA7/sP9f/zj/Mf8x/yz/Iv8U/v/+4/7D/qH+fv5c/jv+HP3//eT9yP2r/Yz9b/1S/TT9E/z1/N38y/y7/Kr8mfyI/Hv8b/xh/FD8PPwq/Bn8Cvv/+/f77/vn+9771fvI+7P7mPt++237Zftj+2H7XPtX+1b7V/tU+0v7Q/tA+0H7P/s6+zX7MPsp+x77E/sH+vz68vrs+un65/rl+ub66Prp+ur67vrz+vf6+vr/+wf7DPsM+wz7Evsb+yT7LPsz+zj7PvtK+1z7bvt8+4j7mPur+7z7yvvX++D75vvr+/T7/PwA/AP8C/wX/B/8JPwn/Cv8Lfwt/C38MPw0/DT8M/ww/Cr8Ivwb/Bb8EPwG+/r78Pvp++L72PvL+7/7tPuq+5v7hftp+0z7Nfso+yL7H/sa+xP7DvsJ+wP6+/r3+vn6/fr9+vj69vr4+vr6+vr5+vj6+vr/+wX7CPsG+wL7BPsL+xD7E/sV+xv7H/si+yj7MPs3+z37R/tY+2n7dvuC+5D7nfun+7b70fvu/AP8E/wr/Ej8Yfx2/I/8sPzQ/Ov9C/0y/Vb9c/2R/bb93f3//iP+S/5z/pb+wP75/zb/Y/+G/7D/5AAJABcAHAAY/+n/fv8V/xf/ugDVAhgDRQQ0BM8FMAWcBjwG2QcWBuIGiQZKBhEFrwU8BP0FCgU5BWcFnAXnBjwGhgbYB1gIDAjCCT0JZwlZCT8JOQlJCWYJkgnRChoKTApOCikJ/QndCcIJmglcCRAIwwiGCF4IQAgXB9kHlQdbByYG4AZ4BfgFfwUlBOwEwwSVBGcESQRDBEUEMAP7A7cDdAMtAtQCagICAa0BYgEUAMEAdgA1//X/rP9b/wf+tP5l/hz91f2I/TL83vyS/Er7/vuu+2D7G/rZ+pf6WPog+ez5vvmV+XH5TPkn+Qn4+Pju+OX42vjQ+MT4rviT+H74bfhI9/f3f/cL9sb2vvbe9wf3KvdC90/3Vvdf9273ffeF94r3lPek97X3wvfP99336vf2+AL4Evgt+F/4tvkr+aD59/os+lT6gfq1+ub7Dvsu+0z7afuI+6b7wvvh/An8OPxk/IL8lPyr/NX9Dv1F/Wr9ff2K/Zz9sv3D/cP9p/1n/QX8jvwa+8L7kPt/+4T7lfuq+7v7xPvG+8b7zfvc+/L8Evw3/Fv8efyT/Kv8wfzQ/Nr85fzx/Pj8//0O/Sr9SP1j/X79nf28/df97v4J/iT+Pv5Y/n3+qf7V/vn/Gv8//27/qP/oACkAYwCXAMoA/gEzAWoBqAHmAh8CUQKFArsC6wMVAz0DaQOTA7UD1AP2BBUELQRDBF8EfwSeBL8E6AUXBUAFYgWDBaIFtAWyBagFpQWqBa0FqwWpBakFpAWbBZQFkwWWBZoFnQWcBZcFkQWOBZIFmgWiBakFsQW0BbAFqAWjBaQFqAWwBbwFyQXOBcUFtgWvBbEFtAWzBbcFwAXIBcUFugWrBZIFcQVSBT0FJwT9BKcEfARfBD4EEQPrA+ID6gPpA9QDvAOwA6kDnQOSA40DjAOMA48DmQOiA6IDmgOVA5UDlgOUA5QDmQOgA6QDqgOwA7YDuwPFA9YD6gP6BAsEGwQmBCcEKAQ6BF4EfwSSBKkE3AUuBYwF3AYQBiAGDAXcBakFigV7BWkFRgUVBNsEjgQsA8kDhANmA1gDOwMPAuUCxgKpAoMCUwIcAd0BlgFNAQkAywCPAFYAIP/s/7j/hf9T/yD+6f6t/nD+Nv4D/dn9t/2R/V79GPzF/HD8J/v1+9j7zfve/Bj8bfyt/Kz8cPwh+9f7j/tD+v36zPqu+pj6g/pt+mH6f/re+2D7rvuO+yT6zPqz+rn6qfp++lf6RvpN+mX6gvp6+iT5hvjm+Ib4avhb+CP3x/dr9yf28va69n/2TfYm9fX1m/UQ9G/z5vOP81/zNfMG8uLy1PLP8r7ynfJ88mbyW/JV8lTyUfJJ8j3yM/Il8gjx2fGZ8U/xFPEr8cLyo/Mx8u3x+vEG8K/xBfGk8hzyRvJC8j7yRPI+8iLyDPIg8mDyrfLi8unysvJI8dnxofGx8eDx+PHx8eXx4/Hk8djxvPGb8YTxfvF88WfxOfEE8N3wwPCX8FrwG+/x7+Lv3+/c79rv5u/57/Xvt+9F7svucO437gnt1+2h7WHtE+y/7HLsLevq66brZOsk6uLqoepu6kfqIOn06c3pq+mB6UjpDOjY6KToZegf5+Dnqudz5zHm6uat5ojmfOZ15lvmJuXm5a3ld+U15ObkkuQ649rjcOMK4rbieeJR4jbiHOH84dbhr+GI4WDhO+EZ4Pfg1uC84KngluB/4G3ga+Bx4G7gauB24JfgueDQ4OLg+uEV4TDhUuF54ZfhoeGc4ZjhnuGs4cLh4OIC4ijiVeKI4rji3uL/4ybjUeN9467j5+Qi5FfkiOS85PPlNeWS5grmdean5p7mi+aT5rfm9edg5/Podeiz6MLo7OlR6cfqIOpl6rfrI+uf7B/sm+0I7WHtve427sDvLO9g73nvrvAh8MPxcfIS8qHzJfOf9AX0UfSM9M31I/WH9ez2Tvaz9x/3lvgW+Jb5Bvlg+bT6G/qP+vH7Mftg+5n73fwW/C38G/vq+7j7rfvc/Dj8of0E/V/9rv3w/jL+i/76/2n/1ABVAQEBxwKGAzoD+ATFBYcGGwZ3BrEG4QceB3MH5AhoCOoJUwmjCfEKVQrBCxMLSQuNC/gMbgy8DN4M9w0ZDUINgg32DokO5w7ZDogOUQ5WDnoOnw7NDxAPWw+hD9wP+w/pD6sPbg9SD0cPKw79DsoOjg5DDgYODA5hDtgPRA+sECgQrBESEU0RcBGLEYoRVBDeEC8PVw5uDaANIg0UDXEOFA7HD2IP2RBBELkRUBH3EpUTHROTFAoUjRUVFZMWAhZvFuQXVxezF/EYIRhTGIoYxxkPGWIZshnsGg0aHRokGiMaIBonGjkaTBpgGn0arBriGxAbNRtUG24bfBuCG4sbnxu9G+EcChw7HHQcsRzpHRIdJh0nHR0dDh0FHQ0dKB1BHT4dFxzYHJQcUBwgHDYczR3mHzAgNCCkIHgf3x8YHmceAx3zHhMeQh5/HtUfIh8zHv4esB5yHjkd7R2VHUEc5BxkG9YbgRuVG/UcURxuHEkcCxvaG8EbsBuRG2MbMhsLGvUa8BrxGt4amxogGXkYyhhMGDQYdBirGIAYFBfdGAoYMRfJFssVuhUgFS4VxhaWFz0XhheGF3YXXxcfFq0WNRXhFasVexVTFToVHhTrFK8UiBR6FG8UWxQ5FAATqxNOExETAhL/Et8SmRJDEfcRvRGLEVIRDxDNEJgQdBBYED0QIRACD+MPyw+7D6kPjg90D18PQw8UDt0OtQ6ZDnEONg4DDeINxA2bDXQNXQ1JDSgNBQz2DOsMvQxmDA0L1AuuC4MLTgskCwoK+ArjCssKsAqQCmkKQgodCfUJyAmcCXkJXwlKCTwJNwk1CScJCgjxCPIJCgkYCQMI0gifCHoIYAhICDIIHwgLB/MH1we5B5gHbgdABxkG+QbfBsUGrQacBpIGigZ+Bm4GWwZGBjIGIQYSBf0F2wW3BaoFvwXjBfYF6wXRBbIFjAVdBTMFGgUOBP0E5wTUBMIEogRzBEAEEQPiA8ED0wQvBKME0wSNBAYDnQN6A3oDaQNJAzkDQQNKA0MDMwMpAyIDHAMaAx4DGQMFAvcDAAMPAwUC5gLWAuYC9wLlArECdgJHAiMCCgH+AfMB3AG8AZ4BhQFoAUYBKAEPAPQA0wC0AJ0AhQBrAFQARwA/ADcANAA1ADIAJQAXAA8AB//3/+b/2f/G/6v/pf/VADYAlwDTAOcA2gCiADn/vP9Z/yb/F/8U/xP/Dv8D/u/+1f64/pf+dP5S/jT+Fv35/d39w/2p/Yv9av1K/Sr9C/zv/Nn8yPy5/Kn8mPyH/Hr8bvxi/FL8QPwv/CD8EvwF+/v78vvr++b74vva+8f7rfuT+4D7d/t1+3X7c/tv+237bftt+2n7Zftl+2f7Zvtg+1v7VvtO+0P7N/ss+yL7GPsP+wn7A/r8+vn6+/r++wD7A/sH+wv7EPsY+yP7K/sv+zH7Nvs9+0b7TvtY+2H7avt3+4n7mvuo+7P7wfvQ++D77vv8/Af8DfwS/Br8JPwq/Cz8MPw4/EH8R/xJ/Ez8TPxM/Ev8TfxP/E38SfxG/ET8QPw6/DL8Kfwe/BL8Bvv7+/H75/vb+9D7xPu3+6T7jPtx+1n7Rfs4+zL7Mfsw+y37Jvsc+xH7B/sD+wb7C/sM+wj7BPsD+wH7APr/+v/7APsE+wz7EvsT+xL7F/sg+yb7J/sp+y77M/s2+zr7QPtE+0j7VPtm+3b7gvuO+577rfu2+8P72/v4/A38Hfwz/E/8avyA/Jn8t/zV/PH9EP0z/VX9c/2T/bj92/37/h7+Sf51/pr+wP7z/yz/XP+D/7D/4wAHABMAGgAhAAv/uf9H/xD/YwBJAYkC1gPtBK0FJgWJBfgGaQa5Bt8G6gbfBq8GYAYWBe8F4gXbBegGIwaABswG7QcJB18IAAi9CVMJmwmfCYMJcQl6CZUJuQnlChkKRgpYCk4KNwoeCf8JzQmJCT8I/gjMCKcIhAhVCBYH1AedB20HKwbIBk4F3QWJBUwFEwTSBJcEeAR5BIMEdQREBAIDwAN7AyMCtgJKAfEBpAFUAQAAtABzADD/4f+J/y/+2f6J/kP+Af24/WP9EPzN/Jf8YPwb+8r7dPsg+tn6ovp2+kr6Gfnq+cL5ofmD+Wv5XPlT+Uj5O/kt+SD5Cfjp+Mf4qPh6+Cj3s/c/9vz29vcZ90L3Yfd294T3jvea96n3tve998T31Pfu+An4Hvgt+Dn4QvhN+GD4f/ip+OD5L/mX+f76Rvpl+nD6f/qY+rj62/r++x77Pvtj+4/7ufvW++j8Afwm/E38a/yF/K786v0p/VP9Yf1h/Wn9gf2b/Zz9cP0W/KP8MvvZ+6T7j/uN+5P7nPup+7b7wfvK+9X74fvr+/b8Cfwo/Er8Zvx9/Jb8rvzC/M/83Pzq/PT8/f0P/Sz9Tf1p/YL9nv26/dL96f4F/if+R/5m/oz+uP7i/wb/Jf9J/3X/q//rADAAcgCtAOABDwE+AXQBsQHuAiMCUAJ9Aq0C2gL/AyUDUQN+A6QDxAPkBAIEHAQ3BFYEdgSVBLIE1gT9BSEFRQVsBZAFoQWcBZAFjAWQBZAFjAWIBYYFfwV0BW0FcQV9BYkFjQWKBYMFfgWABYkFlQWfBaQFpQWjBZwFkwWMBYkFiwWQBZwFqgWxBasFoAWYBZkFmwWbBZoFnQWfBZwFkwWCBWcFRgUqBRgFAwTbBIgEYgRFBCID9QPUA88D2wPeA9IDwgO4A6wDnQORA48DkwOWA5kDogOrA6wDqAOnA6oDrAOsA64DtAO8A8IDzAPYA+ID6APxBAUEHAQvBDwESARTBFgEYAR4BKMEzATmBP8FMgWFBd4GHwY8Bj8GLwYTBfgF6QXjBdcFtwWDBUME9ASZBEED/wPTA6wDfANJAx4C/QLaArACgQJPAhUB0AGJAUcBCwDUAJ4AagA3AAP/0P+c/2H/Gv7G/nD+J/3z/c39qf18/Ub9DPzM/If8T/w6/Ef8Xfxu/In8ufzp/O78ufxd+/f7k/s5+vb6zPqw+pv6kvqa+rL62/se+3D7pfua+2f7Q/tC+z77EvrR+qr6sPrT+vb6/vrC+ir5Xvi5+Hb4dvho+Br3qfdG9wb22vaz9o/2cfZU9iT1xvUx9Hvz1/Nt8zjzF/L58ury8vL+8vXy1vK18p7ykvKL8ojygPJy8mjyafJp8lDyHPHg8azxivGZ8fTygfLe8rLyDPFe8SHxcfID8m7yf/Jc8k/ycPKR8obyZvJy8rvzDPMq8w3yzvKG8kDyDPH38fvyCfIa8iryMPIl8grx6vHN8bnxrfGk8Y3xYvEy8Q7w8/DL8I/wUvAo8BLwAu/07/PwDfA18EHwC++X7xbus+547kzuHO3k7aXtX+0V7Mzsguw46/LrtOt46zfq+erI6qTqfupR6ibqAenX6aDpYukn6PDoueiD6FHoGufY547nSucY5vrm6ubZ5rbmfuZA5gXlyuWG5Tvk8OSg5EDj0+Nr4xfi3eK14pjie+JZ4jLiC+Hm4cDhmeF14VThNuEd4Qfg8uDe4NLg0uDT4M7gy+DY4PThDeEd4S3hROFg4X/hpOHL4eXh6OHe4drh4+H24g/iLOJO4nbipuLZ4wPjIeM+42Xjk+PD4/fkMeRm5JPkvOTq5R7lXuW35ivmj+a35qjmlOac5sHnA+dw5//ofOi76NTpAelY6bnqCepU6rLrJ+uk7BzshOzX7SLti+4k7svvPu9l72rvlfAM8LbxZPH38nLy6fNe87/0AfQ19Hn01/VC9a32GfaJ9vz3cvfw+G741/kl+XD51PpM+rT6+fsu+3D7w/wW/FX8d/xz/FX8OPw3/FP8gfy9/Qv9Y/22/gb+W/6t/uv/Gv9g/9YAZgDuAXICEQLSA48EFARWBHQEngTzBXYGEgasBzcHsAgcCIII5Ak3CXAJnAneCkYKvQsgC2wLtAv9DD4MjQ0HDZMN3A2uDUEM/w0TDVkNqw4PDo0PCA9eD4QPfw9QDvwOpA5lDjEN6g2IDSMM0wyhDJsM2Q1aDfsOlg8jD6gQGxBnEIYQihB7EFMQCw+nDy0Ong4GDYQNQQ1WDcQOdQ9CD/8QmREZEZoSJxK1EzoTtxQ2FLsVOxWoFfwWQxaVFvkXYRezF+gYDhg1GF4YkBjWGTMZlBncGgEaChoFGfsZ8xn3GgcaHBo2Gl0ajRq1Gs8a6RsSG0cbcRuHG5Ibohu9G+AcBhwwHGQcoRzfHQ8dJR0lHRwdER0KHQ8dJx1EHUUdEByyHEkb7RuwG7EcGxz3HhYfJR/kIDYgGx+mHwwelB5cHlAeUh5pHqEe2x7eHqAeVR4vHigeJB4fHhcd5h1qHMEcSBw+HH4crxyYHEsb/RvSG8UbvBujG3kbSRsZGusaxBqmGooaYhonGdAZWxjlGKMYqxjLGLEYVxgKGAgYKRgKF3YWjxW0FUoVhBY5FvEXSBdJFzgXLRcEFqsWTRYXFgEV7hXcFdEVvxWUFVkVKBUGFOcUxRSiFHAUHhO4E2cTQxM+EzITBhK+Em0SIhHiEaERWhEYEOMQuBCQEG0QUhA6EB0QAw/1D+4P1g+uD4YPZw9HDx0O8g7LDp8OaA4xDggN5A25DZINeg1nDUUNHA0FDQAM8Qy/DHUMLAvrC64LeQtVC0MLNwslCwwK6wrECpsKdwpYCjQKBgnWCbMJnwmUCY4JjAmLCYIJaQlKCTYJLwknCRQI/wj1CO8I2gitCHQIQwgfCAQH6gfQB7IHjAdeBy0HBAblBs4GuwaqBpsGjAZ6BmQGTgY6BigGFQYEBfAF1wW/Bb4F2wX+BgQF6AXGBa4FjwVZBRwE9QToBN8EzwTABLIElQRgBCUD9QPNA7QDywQpBKME1gSOA/8DjANlA2ADSwMpAxsDKQM2Ay8DHgMTAwwDAwL+AwEC/wLtAtwC3gLtAu4C2gLGAsUCyAK7ApoCcAJAAhMB8wHoAeIBzQGrAY0BdwFcAToBGQD8AN0AugCbAIMAbQBWAEQANwApABkAEQARAA4AAP/w/+n/5f/Z/8n/vf+s/4r/av97/9EATQC8APYA7AChAC3/u/9o/zX/FP7//vb+9P7t/tv+w/6q/ov+af5I/iv+Dv3w/dT9vP2m/Yr9av1J/Sj9Cvzx/N38zfy+/K78nfyM/Hz8b/xj/FX8Rvw3/Cr8HPwP/AL7+Pvy+/D78Pvq+9v7xfuu+537lPuR+5H7kfuM+4j7hvuH+4f7hfuG+4j7iPuE+4D7fPt0+2f7W/tR+0f7Pfs0+y37Jfsc+xf7GPsb+x37HPsd+yD7Jvsv+zr7RvtP+1b7Xftk+2v7c/t/+4v7l/uk+7X7xvvU++D77Pv6/Ab8Evwf/Cv8M/w5/EL8TfxU/FX8Vvxc/GT8avxs/G38bfxs/Gv8a/xq/GX8XvxZ/Fj8WPxU/Ev8QPw2/Cz8IPwT/Ab7+fvt++D70vu/+6f7jft0+2D7UftG+0D7QPtA+zz7NPsp+yD7GPsV+xf7GvsZ+xf7FPsT+xH7D/sP+xH7E/sX+x37JPsn+yn7L/s4+z37Pfs9+0H7R/tM+1D7U/tW+1n7Y/t0+4P7jvua+6z7vfvJ+9T76fwE/Br8K/xA/Fz8ePyR/Kj8wvze/Pr9GP04/Vf9dP2V/bv93v38/h3+Sf54/qP+yv72/yX/Uv98/63/4QAIABgAHQAjABn/4f97/x7/JP/EAOoCRQN6BF0E9QVgBb8GMAbDB2UH2wf1B8EHiAd2B24HOwbnBr0G7gdNB4IHcQdYB4cIEwjMCWwJxAnSCbUJnAmgCbwJ2wn3ChcKOQpUCl0KWwpRCjcKBwnFCYQJTwklCP4I1QijCGcIKQfxB8AHgwcsBsIGWwYEBbYFYgUKBMUEqgSzBMMEuASKBEsEDAPJA3IDBAKXAjsB7AGbAUYA9gCsAF8ACP+v/1j/A/6y/mv+Lf3p/Zb9Rf0R/P788vzG/Gr77Pts+xD65vrZ+sf6nfpk+jD6C/n0+ev56fnm+dn5wfmr+Zn5g/lf+TD4+/i++Gn3+/eQ91H3Sfdg93n3ivec97D3wvfP99336/f2+AH4Fvg7+GX4hviW+J34pPi2+N75FPlK+Xb5pfnk+ij6Vvpg+lf6Vfpj+n36ofrJ+u77EvtC+4H7ufvM+777ufvc/Bz8Vvx4/Jj8yv0J/Tr9Sf1C/Tz9R/1V/Uf9C/yl/Db72/um+5X7nPuo+6/7r/uw+7T7u/vG+9X75vvz+/v8CPwg/D78WPxt/Ib8ofy2/MT80vzl/Pj9Bv0Z/TT9Uv1s/YP9m/21/cv94v4A/iX+Sv5t/pL+vf7n/wz/MP9X/4H/sv/rAC0AcgCyAOcBFAFAAXQBsQHsAh0CRgJxAqECzALwAxEDOQNlA44DsAPNA+cD/wQZBDcEWAR4BJgEvQTjBQcFLgVZBYEFkwWOBYAFeQV3BXMFbQVpBWcFYAVUBU0FUwVkBXMFewV5BXUFdAV6BYYFkQWYBZcFkQWKBYQFfgV5BXMFcQVzBXkFgQWFBYQFgAV+BYEFhQWFBYAFegV1BXAFZgVSBTUFGQUGBPkE4wS6BHsEZgRVBDID/QPRA8QDzAPUA9EDywPFA7kDpwObA5sDnwOiA6QDqwOzA7cDuAO6A74DwAPAA8QDzgPXA94D6AP5BAkEEwQfBDUETwRjBG4EdwSFBJYEqQTHBPEFGwU3BVEFhAXVBikGYAZxBmwGYAZPBj4GNgY4BjoGLAYDBb4FZgUIBLUEdgQ/BAIDvwOEA1gDMwMIAtoCrQKAAkoCCgHGAYYBTAEXAOQAtACBAEsAFv/g/57/Rv7a/m3+Fv3c/bP9iv1c/TT9Efzo/LP8i/yS/L/84/zg/NH84v0R/Sf8/Pyc/Cv7wvtq+yr7Afri+sH6r/q/+vH7M/tv+5j7oPuF+2X7Z/uF+4r7Tvrr+qT6p/rr+z77W/sK+kn5ZPjC+I74jvhp+Ab3j/cy9vn20/a69qv2nvaE9lL1+fVp9LDz/fN+8zjzEfL68wDzJPNG80PzHvLy8tPyv/K08q7yqfKf8pryn/Kh8ojyWPI08jXySvJa8l3yXPJT8jDx8PGv8Z3x2PJF8pbyk/Jd8k7yjPLZ8ubywvLC8wbzTvNQ8xHy0PKy8qTyivJi8kLyOvJK8mHyZ/JT8i/yEfH98fHx6PHY8brxjPFd8T3xI/D88MDwgfBS8DXwHvAP8BbwOvBo8HfwRe/c72nvFe7g7rHud+4y7e7trO1p7SLs1eyH7D/sAuvI64zrUOsh6v3q1uqo6nnqTuok6fTpvumJ6VbpJOj06MDof+gz5+bnp+d651znRecq5wLmz+aX5l3mHuXY5ZLlTuUD5KPkM+PL43njQeMa4vvi2+K24o3iZOI+4hnh8+HR4bPhl+F94WbhUeFA4TfhNOEw4SjhJuEx4UXhVuFg4W7hheGi4cHh5OIE4hXiFOIO4hHiIuI64lXicOKN4rTi5uMc40TjXuN4453jzOQA5Dfkb+Sd5L7k3eUE5TTlc+XN5j3mmua85q/mnuao5svnDOd25/7odOi16NfpBulQ6aPp9upT6sHrNeuh7ATsWeyh7O7tZe4Q7r/vMe9S71Xvg/AD8LfxY/Hh8kHypvMW83fztvPp9DP0m/UN9X718vZs9uL3UffD+DT4kfjV+Rj5evn1+mP6svr0+0P7n/v//Fv8qvze/Oz84vzP/Lj8n/yX/LX89/1L/af+Df50/sb/AP9A/5r/+wBHAIsA7wF+Ag0CYwJ1AnACkQL3A5QEPwTcBWwF/AaMBwsHZQeVB6kHvgf1CFgI1QlOCboKIAp9CsgLEAtwC9oMDwvpC50LiwvYDGAM+A2hDlsPAA9hD3UPUw8IDpIOAA1zDPgMggwGC5ULTQtAC3QL8QyvDZEOZQ8HD2UPhw9/D2QPQA8PDtAOjw5hDksOPQ4sDiEOMQ5yDusPlRBYERERqxIoEp0TEBN+E+gUVxTRFU0VtRYAFjQWaha3FxsXfxfHF+0YAxgXGDEYWRieGQYZdxnJGeoZ6RnbGc8ZyRnOGeAZ/BohGk0aeBqUGqMauRrrGzIbcRuUG50bohu1G9YcABwpHFYcjxzPHQUdIB0jHR0dFx0UHRcdJB0tHRMcwRxLG9kbgxtLGz0behwZHQQeCh75H60gBB/vH5UfOR7/HtAekh5fHmMekR6kHnQeIh3iHccdyR3pHhgeJh3lHWkc/xzaHNscwxx+HC4b+xvnG9wbwxudG3cbVRswGv0awRqJGlgaLBoBGc0ZgxkoGOUY5hkiGVcZShkBGKgYXxghF8QXJBZNFZ4VgxYKFr4XIBciFw0XCRb6FsYWihZqFl4WTBYzFiAWDRXrFb4VlxV2FU4VIxUBFOAUpRRHE94TkBNrE2ETVRMxEvASohJSEgIRsRFqETURCBDXEKsQjhB4EFsQPBAsECYQDQ/ZD6QPgw9tD00PIw79DtcOpg5wDj8OFQ3pDb4Nnw2IDWUNNQ0TDRMNIA0SDNYMfgwnC+ULuwukC5ULhwtyC1ULLgr/CtIKrgqTCnMKSAoVCesJ1QnTCdoJ4QnkCd0JyQmqCYkJaglNCTUJLgk6CUcJNwj8CKsIYwg0CBYH+wffB8EHoQd7B00HHgb4BuAGzQa8BqsGmgaDBmUGSgY3BikGFgYCBe8F4AXXBd4F+wYYBhMF7AXFBbIFnAVqBSgE9QTbBMYErwSjBKIEkgRhBCED7wPNA7QDuAPxBEcEbgQ3A8YDbQNQA0kDLwMKAv8DEQMiAxsDBQLzAukC4ALcAuAC4gLWAsUCwQLMAtACxAKxAqMCmQKNAn0CZgJAAhAB6QHZAdEBvQGaAXoBYAFFASQBBQDrAM4ArQCNAHEAVwBAADAAJQAU//3/7//t/+r/3P/O/8n/x/+6/6n/n/+T/3P/Rv83/2f/zQA6AHwAfgBMAAz/2v+z/4D/Pf8A/uD+2P7Q/sD+rP6W/nv+W/48/iD+BP3m/cz9tv2i/Yr9bf1N/S39Efz6/Of81fzE/LT8pPyS/IH8c/xp/F/8U/xF/Dn8LPwd/A/8BPv++/37/fv5++z72/vK+7z7s/uw+7H7sfus+6X7ovui+6L7oPug+6H7ovuh+6D7nfuW+4n7fftz+2r7YftY+1L7TPtF+0D7P/tB+0D7PPs6+zv7QPtH+1H7XPtp+3f7g/uM+5P7mvum+7T7wvvR++H78vwA/A38G/wo/DL8OfxC/E38Vvxc/GT8b/x4/Hr8e/yA/Ij8jvyO/I38jfyM/In8hvyD/H78dPxr/Gf8Z/xk/Fz8U/xL/ET8Ovws/B38D/wB+/H73/vI+6z7j/t3+2j7XvtX+1P7UftN+0T7Ovsy+y37K/sp+yj7J/sl+yT7Jfsn+yb7JPsl+yn7Lvsy+zf7PPs/+0H7R/tP+1T7U/tS+1b7XPth+2X7aftt+3D7efuH+5T7nvup+7j7yvvZ++f7+fwS/Cj8O/xQ/Gv8iPyi/Ln80fzr/Qj9J/1G/WH9e/2b/b/94/4C/iP+Sv53/qP+zv75/yP/Tf95/6n/3AAIACMALQAqAB///P+v/0b/Dv9hAFgBqgLuA+sEngUeBY0GJAcLCBgI1Qj3CLoInwjNCOoInQgOB7sH3ggvCEUICgfLB9sISwjvCYUJ3QnsCc4JtQm+CeEKBQodCjAKSApeCmsKbwpsClwKOQoHCdQJqAl9CVAJJAj4CMgIjghPCBQH1geKBzAG0wZ6BhwFsAVFBPoE5AT1BQYE+ATIBI0EVgQaA8UDWALoAooCOQHmAY8BOgDnAI8ANP/d/4v/N/7i/pf+W/4a/cb9df1S/Wb9h/1x/QX8WPur+zz7IPs0+0H7JPrm+qX6ePpk+mb6c/p5+mn6Rvoj+g35+vnW+Z35V/kJ+Kz4QPfd96P3lved95/3ove099P37Pf5+Af4G/gv+EH4XfiL+MD45/j1+Pf5Afkl+WT5qfnW+d/53Pnq+gr6Ifog+hX6Fvom+kL6aPqX+sb69Psu+3b7r/uy+4b7afuQ++38RPxw/IP8pfzf/Rf9L/0o/Rb9Cfz6/NP8ifwt+9r7pPuN+5D7n/uv+7f7tvuz+7P7tvu++8374fvz+//8Dfwk/ED8V/xr/IL8nPyw/L38zfzk/P39Ef0i/Tj9UP1l/Xf9jP2j/bn90f3v/hP+Of5e/ob+sP7b/wX/L/9b/4f/s//lACAAZACmAN8BDgE8AW8BqAHeAgoCMgJfApMCwgLmAwYDKQNRA3kDnAO4A84D4QP3BBEEMARSBHgEoQTHBOkFDgU7BWUFfAV8BXEFZgVfBVgFUgVRBVAFSwVABTgFOwVIBVcFYgVnBWkFbQV0BXwFggWEBX4FdQVwBXIFdgV2BXEFbQVrBWkFYwVdBV0FYQVnBWwFbwVtBWYFWgVPBUYFOQUjBQgE9QTuBOgEzgSjBIkEhwSABFgEFAPZA8MDyAPSA9UD0wPPA8QDtQOrA6sDsAOyA7QDugPBA8YDyQPOA9MD1gPXA90D6QP1A/wEBQQXBCsEOwRKBGAEfASSBJ8ErATDBOAE/AUbBUAFZAV+BZcFxQYPBl0GkwamBqUGmAaABmQGVAZdBnUGhQZyBjEF0AVoBRME1QSZBFAEBAPEA5YDaQM3AwYC3AKzAoACRAIFAcgBjgFZASgA+QDEAIoAUgAc/9f/df76/oH+Jf3p/bz9jP1g/Uf9Pf0t/Qv88v0D/TH9Q/0c/O789/0z/Vr9NPzW/HD8F/vD+3T7NvsJ+uT6zfrZ+xP7Yvuf+7X7pPt7+1z7ZPuI+5P7UPrJ+kj6Ifpu+vT7RfsJ+kX5YfjO+Kb4oPhs+AP3lPdB9wn24fbM9sf2wPam9nn2L/W19Qz0X/Pb84XzRfMd8ynzZ/Oh86PzcPM08wry8PLd8tby2PLX8tTy0/LP8rXyjPJ78qLy5vMG8tbycvIg8g3yKPI98jzyR/J58qryoPJl8lXyn/ME8yjzEfMX81/zoPOK8y/y5fLb8vDy8PLL8p7yg/KD8o7yjfJ38lbyOvIp8iDyGfIN8fHxxfGX8XLxU/En8OnwqfB38FfwQfA58EfwbvCZ8KXwe/Ao79bvoO9870ru/e6i7kzuAe277XLtJuzZ7JDsT+wV6+DrreuA61brLOr86svqnup26k/qJun76crplelc6R7o2OiN6EfoC+fb57Tnkudw50bnF+bm5rHmdOYv5e3lruVl5QPkkuQr49vjo+N741vjOuMT4ufivuKX4nPiT+Iv4hLh9eHa4cLhsOGi4ZnhkuGK4YLhf+GH4ZThn+Gn4bPhyOHl4gTiIOIz4jriOOI64kfiW+J04o3ipuK/4uLjF+NT44Ljn+O349nkBOQ15Gnkm+TB5Nfk7OUJ5TLlb+XL5jrmlOa35rPmrOa15s/nCOdw5/noa+ir6M7o/ulF6Znp+Opo6trrOuuJ69XsI+xx7MrtSO3t7pHvAO8u70LvfO//8LHxVfHB8gbyWPLE8ynzbfOm8/j0afTj9Vn11fZX9s33MPeL9+X4MPhq+K35FPmS+gX6YPq0+xT7ffvr/Fr8x/0e/Vb9c/13/Vj9E/zK/Kj8uPzl/ST9gP34/nP+2P8u/4b/1QAJACsAYwDAAR8BTQFDATIBVwHEAlkC5wNjA+UEhwU3BcYGDwYYBgcGBwYzBpEHDAeKB/0IaAjKCRcJVQmWCd8KEAoUCg8KSArbC6MMdQ1JDiMO5Q9gD4YPaw8aDokNvgzkDCULiwsGCpgKWgplCsALZwxODVcORQ7YDvgOwQ5wDjAOCA3lDb4Nqw3IDhcOgQ7nDz8Pkg/xEGsRARGgEjASoxMCE2ATwBQfFHwU3xVIFasV9xYsFlcWjBbbFz0XmxfaF/UX/hgJGBoYNxh0GNoZTxmlGcMZtxmhGZIZkBmaGbIZ2RoIGjYaXhp5Go0aqRrbGx8bXRuBG4cbhBuTG7wb8hwhHEkcdxyzHO4dEh0dHR0dGx0ZHRYdEhz7HLgcRxvKG2kbKhr7Gt0a9BtgHB4dDR4IHukfgB+vH5cfdx9qH0Ye5h5zHj4eWR6AHmoeFR2zHWwdUB1lHZgdvR2pHWgdKBz/HNYckhxGHBccDRwKG+8bvBuHG2QbURs2GwYaxRqFGkgaCRnIGYcZRhj/GMoY1BkyGb0aIhoXGZgY5BhLF94XYhalFdwVjRXyFq4XLxdGFy8XJRcdFwAW2Ra+FqkWiRZiFkYWMBYWFfkV4xXMFaYVdhVSFT8VHxTXFGoT+BOnE4YThBN8E1sTIBLWEn8SIhHOEZERXxEqEPcQ1BC9EJ4QdxBZEEcQLA/+D9IPuA+hD3kPSg8mDwsO4w6sDncOTA4iDfMNzA2yDZINYg01DSsNPw1FDRgMwwxwDDwMIQwMC/EL0guyC5ELagtACxYK8wrXCrgKkQpfCi8KEwoSCiEKMQo4CjQKJgoLCeUJuQmLCWYJVQlaCWEJTQkTCMIIfAhRCDkIIAf9B9gHtweWB2wHPAcSBvYG4QbNBrwGrAaVBnEGTgY5Bi0GGwYDBfAF6QXqBfcGEAYnBh8F+QXSBcIFtAWIBUUFDATmBMQEoQSRBJUEjgRjBCMD8wPXA74DqAOsA8sD3QO/A4ADUQNEAzwDHgL3AugC9QMEAv4C5gLQAsICuwK5Ar0CvgK3AqwCqAKuArACpgKUAoICcQJmAmACWAI+AhEB4wHIAbsBqAGJAWYBRgEnAQgA7wDcAMYAqACHAGUARAAoABcADP/9/+b/0//K/8P/t/+s/6r/qP+a/4j/ff91/13/M/8S/xj/Tf+W/87/5f/r//0AHQAn//P/i/8j/uP+yf65/qb+k/6B/mv+Tv4w/hT99/3a/cL9r/2d/Yj9bf1Q/TL9Gf0F/PT84PzM/Lr8qvyY/If8evx0/G38Y/xX/Ev8P/ww/CL8FvwP/Av8CPwE+/v78Pvk+9n70fvO+9D70PvL+8P7vfu8+7r7tfuy+7T7tvu4+7n7t/ux+6f7nPuU+4z7g/t7+3f7dPtw+2v7avtq+2f7Yvtf+177YPtj+2r7dfuD+5L7ovuv+7f7v/vL+9r76vv7/A38Hvwt/Dr8SPxW/F/8Y/xn/G/8d/x9/IP8jfyW/Jv8nvyk/Kz8sPyw/K38rPyq/KX8oPyc/Jj8kPyG/H38d/xy/Gz8ZPxe/Ff8TfxA/DL8I/wT/AH77PvT+7b7mPuB+3T7bvtq+2b7YftZ+0z7Qfs7+zr7Ovs5+zf7NPsx+zH7Nfs6+zv7Ovs7+z/7RPtI+0z7UftV+1j7Xftl+2v7bPtr+277c/t2+3n7ffuD+4r7kvud+6j7sfu5+8X71fvm+/j8DPwi/Dj8TPxh/Hr8lvyw/Mj83/z5/Rf9Nv1U/W/9iP2k/cP95f4J/iz+Tv5x/pr+xv7z/x//S/95/6X/0f//ACkAPQA4ACoAGf/p/4X/IP8l/9MA/QI7A0gEGQS6BUwGEAc0CHgJSwllCScJKwmKCcsJjwkNCMcI5AkSCPgImQhDCDkIhgkLCZEJ6gn+CegJ1gnoChQKPQpVCmQKdAqDCokKgwp3CmcKUQo0ChUJ8QnCCY0JXwk9CR0I7AirCGYIIwfbB4sHOAbkBoUGEwWeBU8FOQVKBVUFPQUJBNMEpQRvBBwDrAM6AtoChwIxAdYBfQEnAM0AbwAW/8H/Z/8K/rv+f/5A/e39ov2R/cT9/v3t/W38pvvn+3X7Xvt8+5L7fvtG+wX61Pq8+r76z/ra+sr6o/p8+mX6Vfoy+fL5n/lF+OH4dfgX9+P31/fV98z3xvfa9/74Gvgl+DL4Svhl+H34nfjS+Q75NPk9+Tz5T/mE+c76C/ob+fr5zPm3+cD5zPnN+c353fn6+hn6P/p0+rP67/st+2/7mvuM+0/7JftN+7r8J/xf/G78g/yw/OP8//z6/OL8w/yY/Fz8EfvM+6D7jvuK+4v7kfuc+6b7q/uu+7L7ufvB+8/74fv1/AX8Ffwr/Eb8XPxt/ID8lvyo/Lf8x/zg/Pz9E/0j/TT9Rv1W/WP9c/2H/Z/9uP3V/fb+HP5D/m7+mv7G/vP/If9R/3//q//aABAATwCSANABBwE6AWwBnQHJAfACFwJFAnkCqgLSAvMDFQM6A2ADggOeA7MDxQPaA/MEEAQxBFgEggSmBMUE6AUTBT8FXAVlBV0FUQVGBT8FPAU8BTwFNwUuBSYFJAUrBTgFRwVTBVsFYQVlBWcFZwVkBV0FVgVWBWAFbQVzBXAFbQVsBWUFVAVDBUAFSwVXBVoFVQVPBUcFOwUuBSIFFAUCBPEE7ATvBOgEygSiBJYEoQSaBGcEGwPeA8kD0QPcA98D3APXA84DwwO9A74DwgPEA8cDzAPSA9UD2APfA+gD7wPzA/sECQQXBCAEKgQ7BFEEYwRyBIUEoAS5BM0E4gUBBSQFRQVkBYUFpAW6Bc4F8wYyBnoGtAbVBt0GygafBm0GVgZnBpMGuga7BoYGJgW5BV8FHgTiBJkETgQOA9kDowNpAzYDDwLpArcCfAJBAgcBzgGXAWcBNwEAAMEAiABTAA//qf8p/q7+V/4h/ff9x/2b/Yj9j/2X/Y39gf2K/Zj9ff00/Pr9Dv1a/Yf9Yf0L/Lz8ePwe+6z7SvsR+vf66vr2+yf7a/ug+7D7o/uH+2z7Y/ty+3n7RPq2+gP5kfms+jT6rfqi+gf5RfjN+LH4qPhv+An3ofdS9xb27Pba9tf2z/a49pj2Z/YM9YL08vSB9CTzv/Ns82TzrfP89ATzyPOC81bzN/Md8w/zEvMX8xDzBvMA8vDyzvK18s7zEfM98xfysvJl8nXyxfL38t3yqfKi8sLyxfKb8ojyxPMm817zZ/OF89D0BPPb82/zGfMK8yLzK/MU8u/y0vLF8sDyuPKm8ovybfJU8kPyPPI38ijyBfHX8azxgvFR8RPw1PCi8ILwb/Bp8HjwnvDK8N7wxfCO8FnwPfAo7/jvoO8x7sTuZO4P7cPtfO0z7Obsnexj7DfsD+vj67PrgOtQ6yTq/erb6rzqmepu6jjp+em16XHpL+jw6LXoeug/6Azn4ue754/nYOcy5wPmyuaI5kjmCuW/5V3k7+SK5DzkBOPa47fjlONr40HjGeL14tPisuKT4nTiVOI34iHiEuIF4fjh7uHn4eDh2+He4ejh8uH54gTiF+Iz4lDiZeJr4mjiZ+Jx4oLilOKm4rvi0OLp4w3jRuOJ48Lj5+QE5CLkRORo5JDkuOTV5OXk8uUG5SflYeW95izmg+as5rbmu+bB5s7m/uds5/3ocOiq6Mjo+OlF6aTqEeqG6unrKuta65fr6+xJ7LLtMe3H7lnuyO8M7zzvf+/28JfxK/GH8bzyA/Ju8trzJ/Nm8770NvS29TX1t/Y79qv3APdG94f3v/fz+D34rvky+aj6Cvps+tn7UPvP/FX81v0//Y791P4H/gH9sP09/On8y/zI/NL9AP1i/eL+Vf6w/wL/T/+G/6f/zAANAFcAhgCTAKUA5wFaAdYCNQKDAu8DlwRXBOUFFAT4BMwEvgTdBSMFfgXeBjwGmQb2B0cHgwe4B/MILAhXCIsI9wmwCpULeQxTDTUOFQ7KDzEPQw8EDm8NkgygC9ALLQqiCisJ6goDCnoLMwwWDQUNzQ40DiYNzw15DVMNWw10DZMNyQ4sDrwPYQ/7EHwQ5xFMEbsSNBKmEwETRhOFE9IUKxSFFNwVMxWIFdYWFhZJFnoWsRb5F04XnxfWF+4X9hgBGBMYKxhZGLAZHhl3GZcZhRljGUwZSBlVGXIZnRnMGfcaGxo/GmUajxq/GvUbKRtJG04bShtcG5Mb2hwRHDMcVxyMHMkc+R0THRwdFx0JHPgc4xy0HFkb4Bt1GzUbEBrhGqwanBrbG20cNh0bHfYelB7ZHuYfAR88H1ofIB6pHlEeRx5fHk4eAB2aHUYdGR0THSUdLh0ZHPQc1xzCHJ0cYRwtHBkcGRwHG9UblhtnG1EbQBscGt8amxpiGi8Z8BmgGU8ZCBjIGJAYfhi7GUoZ6ho0Ge0ZORiAGAQXmBbtFhcVmxXZFpgXQxeDF3gXYRdNFzAXCxbsFs4WqxaMFnsWbhZaFkEWMBYgFf0VyBWbFYQVdBVIFPEUfxQWE9ATsROjE5ETcxNFEv8SpBJLEgURyhGNEU8RIhEHEOkQwBCSEGkQQxAjEBAQAg/hD6UPZw9DDy4PCQ7QDpwOeA5WDigN+w3hDcgNnQ1pDVINYQ1vDVINDwzODKgMkgxyDEQMEwvpC8MLngt9C18LQQsfCv4K3gq2CokKaAphCnAKfwqCCn0KcgpfCjwKCwnVCaQJgAlsCVwJPgkHCMMIiQhrCF4ITQgqB/4H1QevB4MHUwcqBw4G9wbeBskGuQahBnoGUQY3BikGFgX7BeoF6QXyBgAGFAYmBiIGAwXjBdUFyQWhBWEFKwUHBOMEuASZBI8EgQRWBBsD8gPeA8gDogN/A3EDbgNhA0oDOgM3AzADFgLyAtwC2gLhAt0CzQK5AqwCpAKgApwClgKQAo4CkgKXApQChQJxAl8CTwJEAkACPwIuAgYB1AGtAZgBiAFyAVIBLQEKAOwA2ADKALgAnAB7AFYAMgAS//3/8v/l/9H/u/+p/5v/jv+F/4P/gv94/2n/Xf9S/0D/If8B/vH+/f8e/0T/Z/+V/+IAPABtAEb/1/9c/wb+1/61/pn+g/5y/l7+Q/4m/gf96P3L/bT9o/2S/X/9aP1P/TX9Hv0O/P/86/zW/MT8tPyi/I/8g/x9/Hf8bfxi/Fn8UPxE/Db8K/wh/Bf8EPwM/An8A/v7+/L77Pvp++n76fvk+9372PvV+9D7yPvC+8L7x/vK+8z7y/vG+737tvux+637p/ug+5z7mvuW+5H7jvuO+437i/uJ+4j7h/uH+4z7lvuh+677vfvL+9b73/vr+/v8Dfwg/DT8R/xV/GH8b/x9/If8i/yN/JP8m/yf/KT8q/y0/Lv8v/zF/M380vzQ/Mz8yvzH/MH8uvy2/LX8sPyn/Jz8kvyK/IL8evxx/Gj8XvxR/EP8NPwi/A379/ve+8L7p/uR+4X7gPt8+3f7b/tl+1n7UPtL+0n7R/tF+0P7Qfs/+0D7RftL+077TftO+1H7VftY+1v7Yftn+237dPt9+4T7hvuG+4j7jPuO+477kfuZ+6P7q/uy+7r7wfvJ+9L74Pvz/Aj8Hfwz/En8Xvxz/Ir8o/y8/NX87P0G/SP9QP1b/Xf9k/2v/cn95/4M/jP+VP5w/pL+vf7q/xb/Rf93/6H/xf/uACAAQgBEADoAOAAm/9T/V/8V/2gARgFfAnADZAQyBPEF2AcPCFgJKglNCSkJTAnAChwKIAn/CgMKHQoFCZ4JGAi1CJUIvAkdCZgJ+gofChUKCgobCkEKZAp5CogKmwqwCrgKqQqKCmkKUgpECjYKHAnwCbgJiAlpCVIJLgj1CLQIcggvB+gHoQdcBwkGmwYkBc0FrwW4BbkFmQVhBS0FAwTMBHQEAQOPAzEC2gJ8AhkBvgFpAQ8ArQBL/+3/iv8m/tL+lf5Y/g391P3b/iH+Xf4//bP87vxA+9n7uPu7+7r7ovt4+0j7HvsB+vj7APsI+vz63frA+rD6oPp1+ib5xPlh+Pz4lfhA+Bb4Ffgc+Bf4FPgm+EX4Wfhg+Gv4g/ic+LH40/kP+VD5dfl6+Xz5mPnR+hD6Mvoi+eX5o/mB+YL5i/mP+Z35wvnx+hn6Pvp0+rz7BftD+3b7jvt1+zL7Afsf+4n8AvxN/Gf8c/yL/Kn8uvy0/Jn8cPw5+/b7tvuM+4H7h/uL+4b7g/uK+5b7ofuq+7T7wPvN+9v77Pv9/A38HPwv/Eb8Wvxp/Hj8ivye/K78v/zW/PD9CP0Z/Sj9N/1E/VD9Xv1w/Yj9ov29/dz+Af4r/lj+hf6y/t//Df88/2r/mP/H//wANwB4ALsA+gE0AWcBkgG3AdkB/QIoAlYCgwKtAtMC9wMZAzoDWANyA4oDogO+A9oD9wQVBDkEYASFBKUEyATyBR0FPQVLBUYFOAUrBSMFIgUjBSAFGwUVBQ8FCwUPBRoFKgU4BUEFRwVJBUcFQgU9BTgFNQU4BUUFVAVaBVkFWwVgBVwFRwUxBS0FPAVJBUUFNwUqBSIFGgUPBQUE/AT1BPME9wT4BOYEwQSeBHwEiwSABEwECQPdA9UD4QPrA+wD6APjA90D1gPRA9ED0gPUA9cD3APgA+MD5gPwA/4ECgQTBB0ELAQ8BEoEVgRnBHwEjQSaBKkEwATbBPYFEgUzBVYFdwWYBbwF2gXuBf0GGgZPBpEGzgb9BxAG+Aa7Bn4GaQaFBrgG3wbjBroGaAYCBaUFXgUgBNwElwRZBCAD4QOfA2sDRQMfAu0CsgJ5AkICCAHQAaABcQE5APoAwACKAEf/4f9h/uj+lf5o/kn+If34/eX99f4R/h7+G/4O/fD9qf1K/RP9Mf2A/af9gv05/P/8xPxb+8r7UPsX+w/7FPsh+0P7cPuN+5L7kPuN+3z7XPtN+1r7Wfr9+j35dfkh+WL52voE+bX5Mvjb+ML4rvht+AT3mPdB9wH23fbX9tv21fbE9rX2nPZc9fT1kfVI9PP0bPPf86rz6fRG9F30JvPh87XzlPNu81TzU/NX80zzPfM980DzKfL78uLy9vMY8xLy4vLE8u7zQfNm8zHy3fLA8ubzCPL68uTzA/NQ85fzxvP59DX0SPQM86PzVfNC80zzTvM/8ynzF/MG8vjy6vLa8sTypvKF8mryX/Jf8lnyP/IS8eHxs/GC8UfxC/Da8LfwoPCV8JzwvvDz8R/xJfEG8N/wxvC08IrwOO/G70ju0O5p7hjt1+2S7UPs9Oy57JPscuxF7A3r1+ur64rrcetY6zrrEOrX6pTqTuoK6cnpjulY6SDo4eif6GboOugS5+bnt+eL517nJebi5p7mW+YO5a3lROTl5JrkYeQ15A/j6ePA45njdeNV4zTjFuL44tjiteKX4oPiduJn4lfiTeJI4kPiPeI74kPiTuJW4l/icOKK4qXis+Kw4qfiqOK34sni1OLc4uri/uMa40XjhOPL5AfkMuRU5HLkieSb5K/kyOTf5O/k/OUN5SnlX+W55iTmeOak5rnmxubK5s3m/Od16BHog+ix6MXo9elL6bbqK+qX6uPrCOsl61/rvOwr7KPtJ+2y7jTuoe747z7vhu/q8G7w7PE98W/xt/Io8pvy6/Mq84P0AfSL9RD1kvYM9nD2uvb19yf3U/eI99/4XPjk+Vr5wfoo+pX7Dvua/Dn8zv1D/aP+Cv5o/n7+LP2j/Tj9C/z3/OH84P0T/W79xf4H/kX+iv7E/uP++v8n/3D/wQAJAFYAvAE1AZ4B4QIWAnQDFQPLBEcEXgQvA/0D8QQGBCcETQR7BLgFBQVbBawF7AYhBlsGmwbYBxsHigg5CQ4J2wqdC3gMfA18DjQOfA5WDdYNHwxhC8ALNAqjChcJzQn3CoULPAvtDIgM/g02DSsNAAztDQ4NWQ22Dh4Olg8lD8YQaxEBEXwR4BI7EpcS8hM+E3MTmxPMFBIUZxS7FQcVTxWWFd0WHxZcFpMWyBcEF0sXkxfFF9kX3xfrGAAYGRg+GIQY6RlHGW8ZXRkyGREZCRkVGTEZVxl/GaEZwhnuGiYaXxqTGsIa7hsIGwcbABsYG1obqxvmHAccKBxcHJwc2R0GHRodDxzsHMYcoxxvHBkbtRtsG1AbPBsJGr4ajhqiGvsbiBw2HOgdbR2sHcgeCx6JHwQfKh70HqQedB5cHjQd8B2hHVwdKh0LHPMc1hytHIocfxyCHHkcXBw7HCMcBBvSG5QbZRtRG0QbIhrgGo8aURo0GiYaAxnBGXEZKBjmGJwYURgqGE4YsxkYGS0Y5RiBGEQYFBedFtIWJRYXFqQXUBerF64XihdeFywW+xbWFsAWtha5FsUWyha2FpUWfRZuFlAWHBXjFb0VqRWRFWEVExSyFFIUABPHE6YTlROEE1wTHBLVEpYSWBIOEbwRehFTETkRFhDiEKQQbRBLEEEQNRALD8MPgA9cD0cPIQ7rDr0Oog6FDlYOJg4JDfYN1w2zDakNwg3YDcENgg1BDRYM8gzDDIwMXAwyDAML1AuyC5wLggtdCzsLIwsMCukKxQq2CrwKwAq3CqkKnwqTCnkKTwocCeoJvAmTCWwJPwkFCMMIjQhwCGkIYQhJCCAH8gfEB5MHZAc/BycHEAbzBtYGvQafBnYGTAYwBh0GBAXlBdYF3wXyBgAGDgYcBhsGBQXsBeIF1wWxBXcFSgUzBRkE6QS0BIwEawQ/BA0D6wPcA8cDngNtA0sDOwMzAyoDIgMeAxkDDAL1AtoCyQLDAsICvQKzAqkCnwKRAn8CbQJmAmwCegKAAnUCXgJGAjYCLAIiAhwCGAIMAesBugGMAXEBYwFTATgBEgDtANAAvgCxAJ4AggBgAD8AHwAA/+f/1//J/7j/of+K/3b/Z/9e/1n/V/9T/0z/Qf8w/xz/Bv7x/t7+1v7b/uv/Av8v/4b/9gBHAET/8/+J/zH+8v6+/pX+ef5n/lT+O/4e/f392f26/aT9k/2B/W/9XP1J/TP9IP0T/Qb89Pzf/ND8wvyw/Jv8jPyE/Hr8bvxk/F78WfxR/Ef8PPww/CP8GPwW/Bf8FvwQ/Aj8Afv9+/v7+fv1+/H77/vt++b72vvS+9H71fvZ+9v72vvW+9D7zPvM+837zPvI+8P7vvu3+7H7rvuv+7H7s/u0+7T7svuz+7j7wPvI+9H73Pvo+/T7/vwL/Bz8L/xC/FX8Z/x2/IH8jfyb/Kb8rPyw/Lf8vfzC/MX8zPzU/Nv83/zl/Oz88fzv/Or85fzi/N381vzR/M/8zfzH/L78s/yp/J/8lPyI/H38cvxm/Ff8Rfwx/Bv8BPvr+9D7tvuj+5n7lfuQ+4j7fft0+2z7aPtk+2D7WftU+1L7UvtS+1P7Vvtb+177X/th+2X7aPto+2r7cPt5+4H7i/uV+537n/ud+5/7pPuo+6n7qvux+7v7wvvF+8r70vvb++P77/wA/Bb8LPxC/Fj8bvyE/Jn8sfzK/OL8+v0U/S/9R/1e/Xn9mv26/dT97f4Q/jj+Wv50/pT+vf7m/w3/O/9x/6D/wv/lABUAPwBLAEkAUwBaACf/sP9D/zr/sQCCAYMClAOYBIUFgQauB+IIuQkOCS8JdwnqClQKrAsRC3ULhgsWClsJtglRCR4JFglLCbMKGgpLCkgKOAo3CkcKWQpqCoEKpwrUCvAK4wq0Cn4KXApNCkQKMQoOCd8JsAmLCXAJUgkoCPYIwwiQCFsIJgfuB6MHOQbABmIGOgY3BjIGEAXaBaYFdQUyBM4EWQPuA5YDPQLTAmQCAQGpAUwA4wB4ABT/r/9J/vH+rv5w/i/+Cv4n/nb+qv57/ev9Pfyx/Fv8KPwA+9r7t/ua+3/7YvtC+yz7Jvsn+yH7EfsF+v766Pqo+j35xflY+Pr4ovhd+EL4UPhs+H34h/iU+KL4pfik+K/4xfjW+OP5BflH+Yz5svm4+cD53/oM+jH6NvoV+dT5lPly+XH5dvl4+Yv5wvoN+kj6cPqc+tz7I/td+4P7jvtw+y368/r8+1r73vxE/HL8d/x2/Hv8fvx0/Fb8Jvvp+6v7fftq+3H7gfuJ+4f7h/uR+577qfux+7v7yPvX++b79fwG/BX8I/wz/EX8Vvxk/HH8g/yX/Kn8uPzL/OH89/0I/Rf9Jf01/UT9VP1n/X39lv2u/cv98P4b/kj+c/6e/sv++f8l/1H/gP+y/+YAHQBaAJ0A4AEfAVYBgwGoAckB7QITAjkCXgKGAq4C0wLyAwsDIgM6A1UDdQOaA74D3AP4BBcEPQRkBIkErwTZBQEFHwUtBSoFGgULBQMFAwUDBQAE/AT5BPUE8QTyBPoFBQUNBRIFGQUeBR8FGgUWBRQFFgUcBScFMgU2BTgFPwVLBUwFOgUkBSAFLgU4BS4FFgUCBPoE+AT0BPAE7wTwBPME8wTkBMAEkwR3BEIETgREBB4D9gPjA+cD8gP4A/gD9gP0A/ED6wPmA+ID4QPiA+UD6gPvA/QD+wQHBBYEJQQxBD4ETgRiBHQEgwSTBKUEswS/BM0E4gT+BRsFOQVXBXQFkwW6BeUGCQYcBikGRQZ1BrEG7gckBz0HIQbeBqUGowbQBvwHCwb/Bt4GogZJBesFmgVWBRUE1QSaBGAEIAPcA6UDfQNVAyIC6QKxAnsCQQIIAdYBqQF0ATcA/ADFAIAAHf+g/yf+0/6q/pf+ff5f/lH+Zf6J/p/+mP50/jX92/18/Ur9YP2a/bT9lf1c/Sr86Pxz+977a/tA+0T7T/tY+237g/uE+3X7cPt2+2b7NPsR+zb7g/uC+uD51/kE+NX5J/l8+YD5RPkH+OL4tvhl9/P3fPcY9tP2ufbC9tT21fbN9sv2wfaS9kf2D/X29bv1IvRh8/b0HfSC9K70g/Q/9A/z6fO885zzl/Od85LzgPOA84zzf/NM8xLy+vMD8wry/vL48xjzTPNe8zPy9/Lt8x/zVPNa80LzQ/N288T0DvRF9Fz0QfP686/zhvOB84Lzd/Nk81TzSPM48yXzEvMB8u7y1/K78qHykvKO8obybfJD8hTx6vG/8YvxUfEb8PLw0/C68LHwyfEH8VHxfvF48VHxKPEJ8ObwqPBE78LvOO7C7m7uMu3y7aPtVO0Z7PPszuyd7GTsNOwU7AHr8+vg673rgus26ufqoupm6izp8+m66X3pOej16L/omOh06EvoIOf258fniec95vHmp+ZW5fblkeU35PDku+SQ5GrkQuQa4/fj1uO145PjdeNZ4zrjF+L44uXi1+LG4rbir+Ku4qriouKe4qbisOK34r3izOLl4vvjBOL+4vXi+OMH4xbjG+Mc4yTjOONb45Hj1uQZ5EzkcuSV5LPkwuTC5MTk0+Tp5P7lEOUj5UDld+XR5jnmh+av5sPmz+bN5s7nBOeJ6Cnok+iy6L7o8elQ6cDqMOqP6svq5esB60Lrp+wf7KDtKO2r7hzugO7f7zfviu/l8FLwuPD98TDxg/H98nLyvfL481Hz1vRp9PP1bfXV9ij2afaf9s32+Pc39574Jfir+R/5hvnt+lL6wPtQ/AH8qv0t/Zv+Fv6J/qn+Uv3B/Vj9O/09/TD9IP0t/Vr9jP22/eb+JP5W/mj+Z/5+/sb/M/+pABsAiwD5AVUBlgHMAhwCmwMoA4YDlANwA1gDZgOGA5cDmwOsA90EKQR9BMcFAgU3BXMFtQXyBiwGgQcIB60IRwjZCZgKpwvTDL4NJQ0UDL4MVwwBC7kLXwrWCkMJ+QowCsMLWwu+C/cMJAxPDHcMqAzxDVcNzw5SDuAPdhAPEKQRMRGuEhgScBK/EwkTShN7E50TvhPwFDYUhxTSFRIVSxWKFdAWFhZWFo4Wwhb8F0AXhRezF78XuBe8F9IX8BgUGE4YqRkJGT4ZNBkHGOIY2hjoGQIZIhlEGWMZhRm1GfMaMxpsGp0awxrPGr4arRrEGwwbXxubG8Ab6hwmHGwcsRzuHREdBhzUHJkcahw7G/kbtBuLG4QbehtMGwMayRq6GtQbFBt3G+wcTRyBHKUc+B2THkYeyB7yHtoepx5xHj0eCR3UHZgdVR0WHOIcthyLHGscYBxlHGgcXBw/HBQb2hubG2sbVRtIGyYa3xqFGkEaMxpUGnoadxpAGe8ZnxlXGQYYnRgkF78XmRe2F+kYBxgiGGIYtxi/GD4XehcBFxYXdRe4F7QXfxcyFt0WkhZoFmgWiRa6FukW/hbrFsEWoxaaFo0WZhYuFfsV2hXHFbMVjxVPFO0UehQTE9ATsxOmE5ITchNOEykS9xKqEkkR7RGtEYcRZxE4EPUQsRB/EGQQShAbD9sPow9/D2QPQQ8YDvYO2Q6xDnoORw4mDhQOCQ4QDjoOdw6VDnEOGw3EDYINRw0HDNAMrAyJDFMMEwvmC9ALuQuUC3ILYgtWCzgLEAr3CvAK6ArUCr0KsgqsCpoKegpTCioJ/wnOCZgJXQkZCNAIkQhqCF0IWQhLCC0IAgfUB6QHdgdTBzsHJAcFBuAGugaSBmsGSwY2Bh0F9AXJBboFzwXuBf8GBwYPBg8GAQXwBeoF4AW9BYgFYwVVBUAFDATDBIMEVAQsBAcD7APYA70DlQNpA0UDMQMmAx0DEQMGAwEDAAL3At4CvwKsAqkCrAKsAqcCmgKEAmUCSgJAAkkCWAJbAkoCLQITAgcCBgICAfsB8QHkAcoBoAF1AVYBRQE1ARoA9wDTALcApACVAIEAZABDACUAC//w/9P/uv+o/5f/g/9t/1j/Sv8//zT/LP8r/yz/Jf8R/vn+5/7a/sz+vf60/rD+r/7B/wD/av/N//P/z/+G/zv++P69/o7+b/5a/kf+Mv4X/fX90P2w/Zj9hP1u/Vr9S/08/Sv9G/0Q/QX89fzk/Nf8zPy8/Kj8l/yL/H78b/xl/GL8X/xZ/FH8Sfw+/DD8JPwj/Cf8J/wg/Bb8D/wK/AX8AfwA/AH8BPwC+/v77/vl++P75vvq++377vvr++b74/vk++j77Pvs++n74fvY+9H7z/vQ+9P71vva+9z73fvf++X77Pvz+/r8BPwO/Bj8Ifwv/EH8VPxk/HT8hPyT/J/8qvy2/MH8yfzP/NX83Pzg/OX86/zz/Pn8/v0E/Qr9Df0L/QX9APz8/Pj88vzt/Oj85fzh/Nr80vzI/Lz8r/yh/JT8ifx9/G78WvxD/C38Fvv8++D7xvu1+677rfuo+537kPuG+4P7gvuB+337dftu+2n7aftp+2r7a/tt+2/7cft1+3r7fft8+3z7gfuL+5b7oPuq+7H7svuw+7L7uvvC+8b7x/vL+9P72PvZ+9375vvw+/n8AvwR/CX8O/xQ/GX8e/yR/Kj8wfza/PL9CP0i/T39U/1l/X39n/3F/eL9+v4X/jv+W/53/pn+xP7r/wz/NP9q/6H/yf/qABYAQwBYAF0AawB+AGsAFv+j/1r/aP/aAKwBxALwBAcFEgYtB0oIMwjVCVQJzwpACqsLQAwNDLgMvwwVCzQKlAo7CfEJsQmpCewKQgpvCmgKSgoyCikKLAo+CmQKogrrCx8LHwruCrEKhgptClgKQAooCgsJ5Qm5CZIJcQlQCSwJCwjvCNQIsAh8CC0HwAdJBusGvga1BqwGjgZdBicF6gWVBSYEsgRRBAADpQMxArUCSgHsAYkBGQCtAEv/6/+F/yb+1v6Q/lD+Mv5V/p/+xf6L/gD9afz6/LT8e/w+/AP72fvE+7b7oPuA+2P7VftS+0/7SPtE+z77HPrC+jv5rfk7+On4qPh4+Gr4hPi1+OL4//kI+P/47Pjj+O/5A/kN+RT5Nfl4+bz53vnk+ez6BPoe+ir6I/oG+dT5nfl/+X35gfl8+Yn5yvow+or6u/rX+v77M/tj+4D7hftm+yL62/rR+yj7vfxB/Hz8efxm/GL8aPxg/Dz7//u7+4P7Zvtj+2/7ffuH+4/7m/ur+7n7wfvF+8v71fvg++z7+fwK/Bz8Lvw9/Ev8Wfxm/HT8hvyb/K78vPzJ/Nn86/z6/Qf9Ff0n/Tz9UP1l/Xr9j/2k/cD95P4O/jj+X/6K/rn+6P8T/z7/bv+h/9UACQBBAH0AvAD7ATYBaQGUAboB3gICAiMCRAJnAo4CsgLNAuIC9QMLAycDSwN2A58DwQPcA/gEGwRCBGkEkQS5BN4E/AUMBQoE/ATrBOME4gTjBOIE4ATeBNoE0wTPBNAE0wTSBNME3QTqBPME9AT0BPkFAgUMBRUFGwUfBSMFLAU4BToFLQUbBRkFJAUqBRoE+wTiBNgE2QTcBN8E4ATfBNgEyASqBHwETwQ6BB4EIAQXBAcD/AP9BAIEBAQDBAIEAwQEBAED/AP3A/ID8QPzA/cD/AQCBAsEFwQlBDIEQQRPBF4EcASEBJkEqwS6BMgE1gTjBPIFCAUjBT8FWwVzBYoFpwXSBgUGLQZDBlUGcwahBtUHDAdCB1wHPwb8BtIG6wcpB00HQQcjBwoG5AabBjoF3AWOBUgFBwTMBJUEWQQYA+ADswOIA1YDIALqArMCeAI+AgoB3AGpAXABNgD9ALkAXP/n/3H/Gv7u/t/+1P7H/sf+3v79/wX+6v60/m3+Hf3O/Zz9mP2w/br9of1x/TX84fxt+/T7o/uM+5L7lPuS+5n7nfuM+2r7VPtN+y766/rC+v/7i/va+2n6Tfks+Kb40Pk++X35bvk4+Pn4svhT99/3Z/b89rH2lfah9rj2wvbE9sv2y/ao9nP2XfZs9k/1uPTY9EP0UfS99Pz02fSK9E30JvQE8+vz6vPz8+zz1PPC873zsfOO82DzQ/M88zzzNvMt8y7zOPNA8zvzNPND827zmfOj84vzefOT89n0JvRQ9ED0BvPJ86zzsvPC88DzqfOM83bzZfNU80HzLfMb8wzzAPLy8uDyzvK+8q3yk/Jv8kjyJfIC8dXxm/Fg8TDxC/Dn8MnwzPEC8Vzxq/HD8aTxbfE+8R3w8vCh8CTvk+8W7sPuiO5M7gLtue2A7VLtIuzt7L3sneyM7IHsdexe7DHr6euT60HrAerM6pfqWuoX6dHpiulL6Rvo+eja6Lfokuhq6DXn6+eV50Lm9Oag5j/l3OWG5UXlFeTv5MzkpuSB5F/kP+Qa4/Pj0+O445rjduNX40PjNOMk4xfjE+MV4xHjCOMF4w3jFeMZ4x3jLONC41PjVuNP40jjS+NV417jYeNg42bjfOOo4+nkMORn5IfknuS85Nfk3+TW5NPk4+T/5RrlL+VD5WTlo+YG5nLmvubc5uDm2+bN5s3nDeea6Djol+it6Lzo+Ola6cPqJOp36q7q0Or560brsOwn7KXtJ+2b7fnuTu6w7x7viu/x8FPwovDU8QbxYfHh8lLylvLN8yvzufRT9Nz1SvWf9eP2HfZS9n/2r/b893T3//h8+OT5R/mr+gr6dPsG+8H8dfz//XH97f5a/nD+F/2S/T/9Pv1g/XP9cv13/Y/9sv3d/hb+WP6H/pH+hv6T/tb/Rv+/ACkAfgDMARgBXgGXAcsCCgJSAogClQKOAp0C1QMWAzwDSQNlA6cEBQRgBKYE2AUIBUMFhwXEBfcGNgaUBwIHXgewCDkJIgpACyoLmwujC4YLewuMC50LfQsZCp4KZgqeCxQLbQuDC30LlgvjDFQM1w1gDeoOcQ74D4YQGRClESYRnRIHEmMSshL3EzETXRN7E5YTuhPyFDwUjhTZFRMVRBV8Fb4WAhY/FnUWrBbqFzEXcxeaF5sXhRd6F40XsRfYGAsYWBi1GPMY9RjQGK8YrRjCGN0Y+xkcGUIZbBmdGdYaEBpGGnYalBqRGnAaVRprGrIbAxs/G20bphvtHDccgBzFHPUc8hy8HHUcPBwQG+AbshuaG5gbkxt1G0kbIRsCGuoa5RsBGzcbbxuWG7wcBRyFHSodxh40HmQeYx5KHjYeKR4QHdMddR0YHNgcthyeHIMcZxxRHEEcMRwXG+8bvxuWG3sbYhsuGtMaZxoZGhgaaBraGycbIhrUGmgaAxm0GXYZMRjCGCQXhRckFxIXMBd6GBEY6BmSGZEY5RgSF5UXehd7F2AXHha7FkYV4BWwFcIWAxZVFp8WyhbHFqgWkxabFqsWoRZ6FkoWIxYJFfcV5xXGFX0VDhSXFD0UBRPgE70TohOVE4wTdBM+EuoShRImEdwRqBF8EUkRDhDWEKUQdxBIEBcP5g+2D4oPbA9aD0QPGg7dDqIOeA5YDkAOPg5wDtIPMg9PDxIOpw5DDfgNrQ1ZDRMM6QzHDJIMUgwmDBQMAQvcC7cLpAuVC3QLRQsiCw8K/grlCs4KxAq/Cq8KlQp4CloKNAoDCcoJiAk9CO8IqQh4CF8IVghLCDIIDAfiB7gHjwdoB0YHKAcIBuAGsQaDBmMGVwZSBjcF+wW8BaYFwQXnBfoF/AX+BgEF+wXxBe4F5wXKBZoFcgVbBT8FBQS4BHMERQQnBA4D9gPYA7IDiQNkA0cDMgMmAx4DEQMBAvcC9gLxAtkCtAKWAosCjQKSApICiQJwAkwCLgIhAiYCLgIqAhcB/AHlAd4B5AHpAeIB0wG/AacBiAFmAUoBNAEeAQIA4QDBAKUAjwB/AG0AUQAvAA//9v/e/8D/ov+K/3j/Z/9T/0L/Nf8o/xb/Bf8A/wL+//7v/tv+z/7H/rz+rf6h/pb+hv5//p/+8P9L/37/df9F/wz+1/6m/n3+Xv5I/jb+I/4M/e39yv2r/ZL9ev1g/Uj9OP0q/Rz9D/0G/P387/zf/NX8zPy+/K38n/yU/Ib8d/xu/Gr8Z/xe/Fb8UfxK/D78NPwz/Db8NPwr/CH8GfwU/A78C/wN/BH8FfwU/A78BPv8+/r7/PwB/Ab8CvwJ/AT7//v9/AD8BfwJ/Aj8Afv4+/L78fvz+/P79Pv4+/78BPwI/Az8E/wb/CT8L/w6/EH8SvxX/Gn8fPyK/Jj8pvy1/MH8zPzW/OD86Pzv/PT8+fz9/QP9Cv0R/Rb9G/0h/Sb9J/0k/SD9Gv0U/Q/9DP0H/QL8/fz4/PP87Pzi/Nf8yfy6/Kz8oPyU/IP8bvxW/ED8KvwQ+/T72/vL+8X7xfvB+7X7p/ue+5z7nvug+577mfuR+4n7hfuE+4X7hfuF+4T7hfuI+4z7kPuQ+5H7lvug+6r7tPu7+8H7w/vC+8X7z/vb++L74/vk++j77fvw+/T7/vwJ/BL8Gfwm/Dn8Tfxg/HP8iPyf/Lf80fzq/QD9Ff0u/Uv9Y/10/Yf9pv3N/e7+B/4g/j7+W/53/pr+x/7x/xH/M/9n/6D/zv/zAB0ATQBvAH0AiQCaAJoAawAQ/6z/a/99AAcBAgI3A2kEhwWdBq8HqwiRCWgKHgqdCwULpQyLDUMNRwyiC+QLdgs1CtUKXwoeCjMKbAqICnUKTgopChQKEgopClkKoAryCy8LOgsXCugKxAqlCnwKVQpCCjsKJgn8Cc0JqAmKCWsJUAk/CTEJEwjZCH8IEAeiB1EHKQceBxIG9QbHBo4GRgXmBXMFBQSuBGIEAwOKAwoCnAI7AdQBYgD3AJgAOf/O/2L/BP6y/mr+Q/5U/of+mP5V/c79Q/zj/K38g/xU/CT7//vr+977y/uu+5L7hPuA+3r7cPtk+1D7HPqz+iL5kPkj+OD4tfiY+JP4sfju+TH5X/lp+VD5LPka+SP5Nfk8+UH5Yfmb+dD55Png+d355Pnq+ez57vno+cv5n/mG+Yv5lfmM+Y75yvpA+rX69PsE+xL7M/tY+277bPtJ+v76qvqW+vP7n/w4/HX8ZvxM/FT8bfxu/EH79fur+3v7bPtz+3/7hfuL+5j7rfvA+8371Pva++H76Pvw+/f8APwO/CL8OPxK/Ff8Y/xv/H78kPyk/Lf8x/zR/Nv85/zy/Pz9CP0b/TP9S/1i/Xf9i/2g/br93v4F/ir+Tv53/qj+2f8F/zD/YP+V/8n//AAvAGQAmgDTAQ4BRwF4AaEBxwHrAg0CLQJOAnIClAKvAsYC3QL2AxIDNANdA4cDqwPIA+MEAQQiBEQEaASOBLUE1gTrBO4E4QTPBMQEwQTDBMQEwwS/BLYEqwSkBKEEngSZBJsEqgS/BM8E1wTdBOkE+AUEBQ0FEQUTBRUFGQUeBR8FGAUQBRMFHQUeBQsE6gTOBMEEwQTHBMoExQS3BKQEjgR1BFUENQQhBC8EHQQUBBMEGAQdBBwEFQQQBBAEEQQPBAwECgQHBAQEBAQJBA8EEwQZBCQENARCBE8EXARrBHwEjwSjBLkEzQTeBOwE+QUIBRsFMgVMBWYFfwWSBaMFuwXkBhcGQgZdBnUGmAbCBuwHGwdQB2wHUQcSBvYHIgduB48HdwdWB0sHOwcABp4GNgXaBYcFOwT5BMIEigRNBBMD4gO2A4cDUwMdAuQCqQJvAjoCCQHVAZ8BaAEwAO8AnAA1/8n/c/9C/zH/Lf8w/0D/Wf9m/1H/HP7d/qP+av4w/fz94P3Y/dL9tf17/Sb8w/xf/BH75/vf+9771fvF+7r7rfuT+3D7Ufsy+vr6qPp7+rz7VvvC+3f6dvlV+Lv41vlJ+Zr5lflS+Pf4lvgu98L3WPb69rD2hvZ+9of2kfac9q/2u/ap9oj2h/ar9qL2GfU09I70j/T/9Uj1IPS+9Hr0ZvRg9FT0TfRO9Ej0L/QL8+nzzvO686nzm/OQ84/zl/Ob84/zevNx83/zmfOx88Xz2PPh89XzwfPE8+70I/Q19BHz2fO688bz5vP48+7z0fOv85HzefNo81vzTvNA8zTzLvMo8xrzA/Ln8s7yt/Kb8nzyXfI98hTx3fGh8XDxSvEj8PXw2fDw8T/xnvHa8dbxp/F08VLxMfDs8HPv4u9n7xfu3u6i7l3uG+3j7a7tde1D7SLtFO0M7P/s6OzE7IzsQ+vx66jrbes56wHqv+p26ivp5emr6YHpYelD6SPpAOjW6JjoROfp55PnQ+bu5o/mMeXg5aLlduVV5TblE+Tv5M3kq+SD5FnkNeQY4/jj1OO146HjkuOD43njeON743XjbeNt43TjeuN844PjlOOn467jquOh45rjmOOa457jouOm47DjzOQA5ETkhOSp5LLkt+TJ5Nzk3+TX5N/k/+Um5UPlUuVh5YPl0OZH5sTnFOcl5w/m6+bK5sjnD+ei6D/om+i56NfpHOl36crqFepd6pvqzOsF61zryOw57KntGO167cfuFe587wDvi/AH8GjwofC98OfxRfHF8i/ybvKp8xDzovQ59Ln1HPVq9aj14PYT9j/2dfbN90732PhJ+KH4+vlZ+br6LfrL+4z8Pvy+/ST9iv3a/d39kP0w/QX9HP1R/X39mf2w/cz99f4w/nz+yv8C/xv/Jf9C/4T/5QBHAJIAxQD2ATUBfAGwAcABuwG5AcABxQHNAfECPgKaAuADDQNCA5oECQRvBLkE7QUdBVYFmAXWBgwGRQaNBtYHAwchB20IFgj/Cc4KSAp7Cp8K2gspC2oLeAtICwMK7QscC2ELewtmC1wLmQwbDL0NXQ3vDnYO9w95D/0QfhD4EWoR0hIrEncSuRLzEyETPBNOE2YTkBPOFB8UexTQFQ8VPRVtFasV7xYqFmAWlxbWFxUXSxdnF2AXQxcwFz8XaBeTF8AYARhVGJYYoxiJGHMYexiXGLMYzhjwGR4ZUhmEGbQZ4BoKGjAaSBpBGiEaCBodGl4aqhrmGx0bYRuxG/0cRByKHL0cwxySHEkcCBvYG7EblRuKG4kbhRt5G24bXhs/Gw8a5RrUGt0a7xsBGx0bTRuVG/UcaBzdHTsddB2bHcYd9B4CHdMdcx0SHNocyxzHHK0cehw/HBIb+RvnG9EbuRuiG4IbPRrJGj0Z0Rm+GhkawRtiG6cbeBr8GnEZ/BmsGY0Zjxl2GQQYRheLFw8W1RbeF1QYQhk9GZ4ZIhgqF1IW3haxFpUWZBYRFZ4VMRT4FQAVMRV5FdAWJhZcFmoWcRaQFrsWzxbAFqAWgBZgFkEWLBYdFfcVqBVBFOIUlBRKE/8TxROqE6kTrBOgE3YTJBK1EkYR8hHCEaQRhRFaESYQ8hDIEKAQZBARD8UPpA+kD5UPXQ8YDvQO7A7aDrAOmw7LDzcPlA+fD1YO8w6rDngOMw3LDWENFgzlDLgMjAx1DHAMYAw1DAML4gvKC6cLeAtNCy0LEAr0CuMK3wrXCsQKqQqSCnkKVwoqCfYJuQlxCSQI3AimCIMIcAheCEIIGwfxB8kHogd1B0YHHQb5BtMGowZ0Bl0GZgZ2BmEGGgXIBaQFuQXeBewF5gXkBewF7wXrBesF6QXVBawFfAVQBSAE4wSgBGkERAQtBBgD/QPVA6cDfANbA0IDLwMkAyIDHQMOAvsC7gLiAsgCogJ/AmwCaAJqAm8CawJXAjYCGQIKAgQCAAH4Ae0B3gHNAcUByAHPAcwBuQGeAYIBaAFRATwBJQELAO4A0gC2AJoAgABuAF4ARgAj////4//M/7D/kf93/2P/UP88/yv/Hv8R/vz+5f7X/tX+0/7L/sH+vP65/rD+pP6c/pb+iP54/n/+q/7l/wX+/f7d/rv+nf6B/mT+Sf4x/h7+DP32/dr9uv2e/Yf9bv1T/Tn9J/0Z/Qv8//z5/PL85vzX/Mz8xPy4/Kv8ovya/I/8gvx4/HT8bvxk/Fv8WPxU/Ez8RPxC/EP8QPw2/Cz8Jvwi/B78Hfwf/CL8I/wi/B78GfwV/BT8Fvwc/CP8Kfwq/Cf8H/wZ/Bf8Gvwf/CD8GvwS/A38D/wR/BD8DvwS/Bz8Jvwr/C/8NPw+/Er8WPxk/Gz8c/x//JD8ofyx/L/8zfzc/Oj88vz6/QL9C/0S/Rb9Gf0d/ST9Kv0u/TL9Of0//UL9QP09/Tv9N/0v/Sj9I/0h/R39GP0S/Qv9A/z6/O/84/zU/MT8tvyo/Jf8gfxp/FL8PPwn/A/7+fvp++H73vvZ+877w/u9+7z7vvu/+7/7vfu1+6v7o/uh+6L7o/uh+5/7nvud+577ofuk+6f7rfu2+8D7x/vL+8770fvV+9z75/vz+/r7+/v6+/z8APwF/Az8Fvwh/Cn8Mvw//FH8ZPx0/IX8mfyx/Mn84vz7/RD9I/07/Vj9c/2F/ZX9rv3R/fT+D/4p/kX+Yf58/pv+xf7x/xb/Of9n/5z/zP/0AB4AUgCBAJ8ArwC7AL4AqQBtAAz/ov9p/6EAXwF6ArQD6QUTBi0HOQhFCVcKSQrsC1cL1gyEDQsNCgyWDCcL+gvTC2wK4AqICoUKpAqoCokKXgo5CiIKIAo1CmEKnQrhCxgLKwseCwoK+grbCqYKdQpkCmsKZgpEChsJ/wnpCcwJqQmJCWgJOAjuCJAIKwfQB5IHdAdpB1kHNwcHBs4GhgYoBb0FWgUKBL4EXQPjA2YC/AKcAjUBwwFVAPAAiAAT/57/N/7f/o7+Vf5G/lL+RP3x/Wf83Px//Fb8Sfw7/CL8B/v2++774vvN+7f7qfug+5P7fPtd+zP67vqE+f/5fvkd+OT4xfi1+Ln43Pkf+Wz5pfmy+Zn5cvla+Vn5Yfll+Wz5hfmr+cX5wvmt+Zn5i/mE+Yj5n/m0+a75kfmE+Zj5r/mq+aH50fpH+sT7CPsU+xr7NftV+2T7Wfsr+tT6dfpd+sb7h/wp/F38P/wn/ED8afxq/DT74vuc+3r7e/uL+5b7lfuV+6H7tfvG+9L73fvp+/T7/PwE/Av8Efwa/Cn8P/xT/GL8bvx6/If8lPym/Lv8zfzY/N/85/zv/Pf9Af0T/Sr9Q/1c/XX9jP2j/b393/4E/iX+Rf5r/pn+yf70/x//UP+F/7n/6wAdAE4AfQCtAOUBIAFVAYABpwHNAfICEwIzAlUCdwKWArQC0gLwAw4DLQNSA3kDngO9A9kD8gQKBCQEQwRpBJIEtQTMBNAExQSyBKIEnAScBJ0EmgSTBIkEfwR6BHkEeQR4BH4EjwSnBLoExgTQBN0E7AT5BQEFBQUEBP8E/AT8BP0E/gUABQcFDwUOBPwE4ATGBLcEswSzBLAEoQSKBHcEcgR4BHcEZQRKBFUEMwQnBCoEMQQyBCoEIgQgBCIEIAQaBBcEGQQaBBgEGQQgBCYEKgQuBDoESwRbBGkEdwSIBJkEqgS9BNQE6wUABREFIQUyBUgFYQV6BZMFqAW5BcUF1QXzBh0GRgZlBoIGpwbMBvAHHwdZB4EHcAc6ByMHVAehB8IHrAeTB5gHnQdzBxcGqgZABdsFfgUvBPAEtgR5BD4EDAPgA7IDfgNGAwoC0AKaAmcCNAH/AcsBlwFiASYA3ACDACX/1v+l/5D/i/+U/6n/u/+w/3//O/8B/tn+tf6J/lv+Nv4e/gT90v19/RL8rfxl/Dz8J/wc/BP8B/vw+8/7r/uY+4b7bfs6+uT6hPpU+oj7CPtk+yj6Uflc+Nz4/flu+bv5rflY+Of4cff895L3Pvb79sD2jPZn9lX2VPZk9oT2o/ao9pn2nvbB9rz2Q/Vx9NP01vVE9Yj1VPTr9Lj0zvTs9OD0tvSV9Ij0efRY9Cr0BPPu8+HzzvO788Hz7PQc9CTz/vPV89Hz7PQE9A70GvQw9Dz0M/Qm9Cr0NfQq9ATz4/Pl9AX0HvQc9ATz5/PK86zzk/OG84Tzg/N983LzafNg80/zMvMQ8vTy4PLM8rDyjfJq8kTyE/Hc8a7xjfFq8Tbw//Dq8RXxb/HG8ezx3vG68ZvxevE28L7wL++5723vNe757rbueO5B7gnt0+2q7ZftkO2G7W/tSe0V7Nbsk+xS7BXr3euk62brI+ra6pDqTeoY6fLp0umy6ZDpaek26PDomOg85+fnledA5ufmk+ZK5g/l5OXD5ablguVc5TflE+Tq5L/kmeR35FXkMeQU5AHj8+Pk49zj3ePe49jj0ePR49jj3OPh4+3kAeQN5Arj/OPu4+Pj3ePc4+Dj6OPz5AfkK+Ri5J/kzOTZ5M7kw+TH5M7kzOTP5O3lI+VW5W/lcuV25Zrl9eaD5xXnbudy5z7m/ObJ5sbnFOet6E7otejm6RPpWOmd6dHqBOpH6o7qzesR623r2exB7KHs/u1V7aPt9e5i7u/vi/AY8HzwqfC08NXxMPGr8g3ySvKL8vnzhfQL9Hj00vUg9Wb1pvXf9hL2Tfao9yb3qfgR+GD4r/kI+W358Pqe+2D8Avxu/Lz9Af0q/Rr84fy3/L786/0k/V39lP3F/fD+If5k/rj/DP9R/4b/t//wADYAhQDRAQ0BPAFsAaoB8gIkAiYB/gHNAasBmwGYAbAB7wJGApYC0gMOA2QDzwQ5BI4EzgUEBTsFdgWxBeoGJgZsBq0G0QbfBwoHfwg0COsJdgnaCjQKkwrvCzQLVQtTC0kLWwuLC7ULtgunC8UMMQzRDXAN8w5gDssPQQ+/EDwQsBEdEYQR3xIlElkSihK9EuUS+xMIEx8TShOLE+UUUBS0FPoVJRVQFY4V1RYTFkgWfBaxFuEXBhcaFxUW/BbqFvcXIRdRF4AXuxgGGEIYVBhFGDwYUBhyGIwYoRi/GO8ZJRlVGXsZmBmyGcwZ4hnpGdwZzxneGhEaUhqQGs4bGBtsG70cBBxDHHEceBxSHA0bwxuJG2cbXxtoG3EbcBttG3AbahtJGxIa4BrHGr0athqzGsAa2Br0GxYbThueG/McPRyFHNodMR1mHV0dJBzkHMUcyxzZHMwclxxPHBUb9RvhG8UbnBtlGxUanRoLGY8ZYxmiGj0a9ht6G4gbIxqPGgoZpBlaGUcZdhmzGZ8ZFBhQF50XERayFrEXMhftGEcX5RcGFjIVvRWfFaoVshWVFUsU8hSsFH0UWRRWFKIVORXXFjoWbRadFtYW+Rb5FugW1xa9FpUWdBZrFmEWNRXmFY0VNhTVFGcUBBPGE7ITvBPME8gTlhM1EsUSbRI9EicSExHzEckRoxGMEW0RIRCnEDcQBhADD+wPqw95D4sPvw/DD4APNg8xD2sPng+TD1QPFw7+DvIOxA5dDd8Ncw0oDPEMywy/DMAMrwx7DDoMCQvqC8sLpAt4C0kLGwr4Cu0K7grnCs8KtAqhCowKbgpJCiEJ8AmwCWMJGAjbCK8Ikgh7CFsILQf5B8sHoQdzBz8HDQbmBsEGlAZmBlIGZAaBBngGNgXiBbQFvAXSBdMFxQXBBc0F2AXaBdwF4AXaBbwFiAVJBQgEyQSUBGwETgQ0BBoD+APNA5sDcQNTAzoDIwMXAxoDHgMUAv4C5gLPArMCkAJwAlkCTAJIAksCSgI8AiECCAH1AeYB1wHQAdUB1wHLAbYBqgGqAakBmgF9AVsBPwErARoBBgDtANMAvQCnAIsAbgBYAEkAMwAR/+z/zv+4/6D/g/9m/0//OP8h/w7/AP71/uT+zv68/rP+r/6q/qX+pP6h/pj+jf6H/ob+gP50/m7+ef6N/pb+jP57/m/+aP5b/kb+Lf4U/f796f3S/bf9mv2B/Wz9V/1A/Sr9Gf0K/Pz88fzs/Of83fzQ/MX8vPyx/Kf8ofyc/JP8hvx8/Hb8cPxn/GD8Xvxb/Fb8T/xM/Ez8SPxB/Dr8Nvw0/DL8M/w0/DT8Mfws/Cr8Kvwr/Cz8L/w0/Dv8QvxF/EP8Pvw2/DH8Mfw0/DT8L/wn/CP8J/wq/Cn8J/wr/Db8Q/xM/FD8Vvxg/G38fPyJ/JP8nPym/LP8w/zT/OT89P0C/Qz9FP0a/SL9LP00/Tn9O/0//Ub9TP1N/U/9Vf1d/V/9W/1Y/Vn9WP1P/UP9PP06/Tf9Mf0q/SL9Gf0Q/Qb8/Pzu/N38zPy9/Kz8lfx7/GP8T/w+/C78HvwO/AP7+vvx++j74fvf++D73/vc+9n71/vS+8j7wPu9+777v/u++737u/u5+7f7uPu8+8H7x/vP+9j73Pvb+9r73/vp+/T7//wJ/A78D/wO/A/8E/wa/CH8Kvw1/D/8S/xZ/Gv8e/yJ/Jn8rvzG/N/89v0O/SX9Of1O/Wb9f/2U/aX9u/3Y/fb+Ev4u/k7+bv6L/qb+yP7y/xz/Qv9q/5n/x//xABsATQCFALQA0gDgAOQA2wC5AGz/+/+X/4f/+QDgAg8DWgSlBdoG9wgVCUcKbAtEC78MDwxgDJgMiQxHDBgMEwv+C6cLNgrzCvAK+ArfCq0KfApYCj8KNQpCCmIKjwrCCvALDAsXCx0LHAsECtEKoQqTCpwKmwqCCmcKXgpbCkgKGwnaCYwJMwjXCH0IKgfiB7EHmweUB4MHXgctBvwGwgZ2BhsFwwV5BSwEygRSA9kDcAMQAqYCMQG9AVEA5ABzAAT/n/9B/uX+l/5l/kb+E/2r/RT8f/wd+/38BvwP/AL77Pvk++379vvw+937yfu2+537evtN+xL6wfpa+ej5ffkl+Of4xvi/+NT5BvlR+Z/51vno+dr5v/mn+Zb5jvmN+ZT5oPmr+aj5k/lz+VL5Nvko+TP5WvmD+ZH5ifmQ+bb52fnb+dP5/Ppl+tX7DfsU+x77Qvto+3P7Xfsk+sP6W/pC+rP7e/wa/D38Evv4/Bb8Ovwu+/D7qPt4+2r7d/uP+5/7ofuh+6v7vPvL+9j76Pv4/AL8CPwQ/Bz8Jfwr/DP8RfxZ/Gn8dvyC/Iz8lfyj/Lf8zPza/OH85/zu/Pf9AP0P/ST9PP1Y/XT9kP2p/cT95f4H/ib+Q/5l/o/+uf7g/wr/Ov9v/6L/1AAGADYAYQCMAL8A+QEwAV4BhwGwAdkB/AIdAj4CYAKCAqQCxgLoAwcDJgNJA28DlAO0A9AD5gP5BA4EKgRPBHYElASjBKMElwSGBHgEcgRxBHEEbARlBF0EWgRcBGMEaQRvBHkEiASbBKwEugTEBM0E2ATkBPEE+AT2BO8E6wTuBPQE9wT3BPgE+QT1BOkE2ATIBLsEsQSnBJkEhgRyBG4EhASpBMAEsgSHBGEEQAQ3BDoEPAQ4BDEELQQvBDEELQQmBCcELQQxBC4ELQQzBDsEQARFBE8EYQRzBIQElASmBLYExQTXBO0FBwUfBTQFRwVbBXMFjwWqBcIF1gXnBfIF+gYKBiUGRAZiBoEGpAbIBu4HJgdxB6sHrQeEB3AHmQfaB/UH4gfRB94H7wfYB40HJAavBjkFywVvBSQE4AShBGgENwQKA9oDpANpAy0C9ALCApICXwIrAfgByAGVAVsBFgDFAHEALAAB/+3/5f/o//P/8v/P/43/S/8h/wn+7f7I/qb+i/5t/jz96v17/Qn8t/yO/Hv8YfxC/C/8J/wQ++H7tfuo+6/7nvtW+uP6dvpJ+nf63fsd+tz6GPk++NH4+vlv+b/5tPlc+OH4WffR9173E/bq9sj2mfZj9jr2K/Y99mn2mfaw9qz2qva69q32RPWU9RP1HPV99a71cvUa9RT1YfWe9YL1JfTT9LD0qfSa9Hj0UvQz9BPz6vPI89H0FPRq9I70Z/Qj9AH0EvQ19FL0cPSW9Lb0uvSm9Iv0bvRJ9CP0F/Qs9Er0UPQ39BXz+/Pn89LzvvO187vzw/PD87jzqvOb84fzaPND8ybzFPMC8uTyvPKU8m7yQvIR8efxzPGy8YLxPfEG8QXxRfGj8e/yDPIG8fHxy/F/8QXwefAI777viO9N7wzuz+6a7mnuP+4i7hLuBe3v7c7tn+1j7SHs5eyz7IHsSOwH68brhOs/6vnquuqJ6mTqReoi6fvpzOmQ6UXo7+iX6EHn6ueT50Lm++a95oXmWOY25hXl7+XE5ZvldOVM5SHk+eTT5K3ki+Ry5GLkU+RF5D3kPuRA5DrkMuQx5DbkPORF5FXkZuRp5FvkRuQ05CfkIeQk5C/kPeRN5GnkleTI5PLlAuT25N3kyuTC5L3kuuTL5QDlSOWA5ZHliuWK5bHmGOa151fns+er52DnCubV5trnMOfN6HPo5ukk6VPphemr6cPp6Oot6n/qx+sP62rr0+w17Ivs4e0+7Zzt++5n7uzvhvAd8IrwtvC58NLxJ/GZ8fHyJ/Jp8tTzUfO89BH0YvS29Qv1XvWu9fT2OfaQ9wD3dffa+C34e/jQ+TX5vfpv+yX7sPwG/EP8cfx9/F78O/xD/Hn8vPz5/Tn9gP3E/fv+L/5x/r//Ef9g/63/+gBEAIkAyQEJAU8BlwHfAiUCaAKeArEClwJhAioCBAH0AfsCIQJeAp8C1QMHA0cDnAP8BFcEowTeBREFQwV4BbAF8QZABo8GyAbnBxAHbQf9CJsJJwmgChAKdgrKCwcLMAtPC3ULsAv3DC0MRAxYDJoNEw2gDhMOYg6jDvIPWg/SEEcQsRETEXARvRHvEhASNxJpEpYSrxK8EtAS+BM5E5gUERSDFM8U+BUfFVsVoRXdFg8WPhZuFpcWtxbLFs4WwBayFr4W6BceF1cXlhfaGAsYFxgPGBUYNBhZGHEYgRicGMgY9xkdGTcZRxlSGWEZdxmQGZwZmhmeGbwZ8xo1GnsayRsfG3cbwhv6HBwcIRwFG8gbeBsxGw4bGRs7G1QbWRtWG1QbRxsfGuYauRqmGp4akBqBGoAajBqZGqYavhrlGw4bNxtrG7UcCxxMHGYcXhxMHEwcZxyQHKkcmRxrHDwcFxvrG54bMhq2GjMZrhlDGR4ZVhnXGnMa8xskGvAadBn2GZ8ZWxkWGPAZHBmEGcIZjRj/GFwXwRcsFr4WpRbKFswWahXKFUYVEhUmFV8VlxWrFY0VThT4FHcTyRNCE14UNBVOFh8WhxbEFv8XJRcmFxoXFhcKFucWwha5Fr4WphZkFhEVwBVlFPQUgBQqFAIT+hP9E/ATxhOFE0YTHBL/EtoSqRJ0Ek0SQRJJEkER/BF5EPcQrxCOEFwQFBACEFAQuhDPEHIP8g+mD5kPng+PD3IPWw9XD1UPOg74DpgOMQ3KDWcNFgzoDNgMwwyTDFMMHgv7C90LuQuMC1QLGgrxCuYK6wrkCswKtQqnCpcKewpcCkAKHQnlCZgJSAkBCMsIpQiKCGsIOAf4B7sHiwdgBzMHBAbbBrUGiwZhBkgGTgZkBmQGOAX3BcwFxgXJBbwFpgWfBa0FvAXCBcYF0AXWBcUFlwVTBQoEywSbBHcEVQQ0BBID7gPCA5MDbANOAzMDFgMEAwQDCgMGAvQC3ALDAqcCiQJtAlYCQQIzAi0CKgIgAgwB+AHlAc0BtwGzAcMB0QHEAaABgAF2AXoBdgFhAT0BGQD8AOcA0wC+AKsAnACLAHQAWQBBAC4AFv/1/9D/sv+a/4P/Z/9K/y//Fv7//u3+4v7b/tL+w/6y/qT+mv6R/oj+gf56/nD+Yv5W/lH+UP5M/kX+Qv5E/kX+Q/5B/kL+Qf42/iH+CP3v/dj9wP2n/Yz9cv1b/Uj9N/0m/Rf9CPz6/O385Pze/Nn80vzJ/MH8uPyv/Kf8ovye/JX8h/x7/HP8bvxp/GX8Yvxg/Fz8V/xT/E/8TPxJ/Eb8RPxC/EL8RPxF/EP8Pfw3/Db8OPw8/ED8Q/xG/Ev8T/xU/Fb8VPxQ/Ev8SfxL/Ev8Rfw9/Dr8PfxB/EL8QfxG/FH8Xfxn/G/8ePyD/I/8nfyr/Lj8xPzO/Nf84/zz/QX9Ff0h/Sr9L/01/T39R/1S/Vj9Wv1e/Wb9a/1r/Wv9cf16/X39eP10/XX9dv1u/WL9WP1S/U39Rf09/Tb9L/0m/R39FP0H/Pb85PzU/ML8rPyQ/Hb8YvxV/Ev8P/wy/CX8GfwO/AX8AfwC/AP7/fvz++v76fvm+9/72PvW+9f71vvW+9f72PvW+9P71Pva++D75Pvq+/D78/vu++n77Pv5/An8Ffwd/CD8Ivwj/CX8Kvww/Df8P/xJ/FT8Yfxx/IH8kPyc/Kz8wvzc/PX9C/0h/Tr9Uv1m/Xj9jP2g/bX9yv3j/f7+F/4x/lL+eP6b/rf+0/73/yD/R/9s/5b/xf/0AB8ATACBALgA5AD+AQoBCwD8AMkAaf/4/7f/4gCLAZoC5wRIBZoG0Af+CUEKiQuSDCYMWAxlDGcMVQwwDBcMEgwCC80LjgtxC3ILYQsnCt4KpwqBCl8KRApDCl0KhQqvCtYK+wsaCzALNgslCv8K2grMCswKxgqzCqYKrAq8CroKjwozCbUJLwjBCHAILgfuB70HqQenB5sHeQdQBy8HDgbaBpEGQwX7Ba4FTATXBGED9gONAxoCngIoAcYBdAEnANUAdgAH/5H/J/7W/pL+Pv2//Rf8cfwB++D78Pv9++z70vvU+/T8FPwb/Ar77vvO+6r7gvtV+xf6wfpa+e/5i/kx+Oj4vvi/+Or5NfmK+dL5+/oH+gX5+/nl+cb5rfmo+bD5svml+Y75dPlY+Tj5F/kH+Rb5QPlu+Yv5m/m4+ef6D/oa+iH6Ufqu+wP7IPsZ+yT7U/uC+4/7dvs4+tT6a/pS+sL7gfwM/Bn73vu/+9P75fvH+4v7WvtH+0v7Xft5+5P7ovuq+7j7y/ve+/H8BvwV/Bb8EfwT/CL8Mvw6/EH8Tfxe/G78fPyJ/JL8mPyh/LT8yvza/OL86fzy/Pv9A/0P/SH9OP1U/XP9kP2q/cT95P4H/ib+Qv5h/ob+rP7O/vX/Jf9Z/4v/vP/tAB4ASABwAJ4A1gENAT4BawGXAcIB5wIKAi0CUQJ0ApUCtQLWAvUDFgM6A2ADgwOiA7wD0gPkA/gEEwQ0BFIEYwRnBGEEWARQBEoESQRKBEwESQREBEAEQwRLBFYEYQRtBHkEhASQBJ0EqgSzBLgEwATRBOcE9gT3BPIE+AUIBRUFEgUABO0E4gTfBNwE2ATRBMcEtwSjBJAEgAR5BIQEpgTPBOMEzQSYBFIEQgRBBEMEQgQ+BDoEOQQ7BDsENwQ1BDoEQgRFBEIEQQRHBFEEWQRgBGsEewSNBJ4EsATBBNAE3wTyBQkFIgU6BVEFZwV+BZcFtAXRBeoGAAYVBiUGLAYxBj0GUQZpBoMGogbFBvUHPAeXB+EH9AfaB8kH5ggWCCkIFwgFCA4IIAgZB+QHhwcOBowGFAWvBVkFCwTIBJIEZAQ0A/4DxwONA1IDGgLnArUCgQJOAh4B7wG9AYMBQADxAKIAZABCADQAKwAkABsAAf/I/4D/Tf84/yr/Dv7s/tX+xv6k/lv98P14/RX83vzO/L78k/xf/EL8O/wm+/T7y/vN++D7xvtg+tX6aPpN+oj66fsY+sT57/kD+In4svk1+Z75p/lZ+N74UPe/90L29PbS9sH2oPZu9j72K/Y/9nP2qvbF9r72rvam9or2L/Wo9Uz1WvWi9bf1efVA9Wv15vY99iH1r/U+9P305PTS9Lf0k/Rs9Eb0IfQI9Az0O/SB9K/0o/Rv9En0VfSI9MD08PUU9Sv1K/UU9Ov0uPSC9Fv0VPRp9H30ePRa9Dn0IvQT9ATz9vPw8/Pz+fP78/Tz5vPW88LzpfOB82DzS/M58xvy8PLE8pvycvJF8h7yBfHy8czxi/FG8SXxQfGR8e7yMfJK8j3yDvG38TvwuPBN8Abv0e+a72DvKe757tHus+6d7obuae5I7iXt+O2+7X3tRe0Y7Ojsq+xk7CHr4uui62HrJur36tLqr+qJ6l3qJ+nl6ZnpSOj06JzoQefq56DnZOcu5vrmzOam5oPmWuYr5f7l1uWu5YLlV+Uu5Qfk5+TQ5MHkseSh5JrknOSd5JjkkOSN5JHkmOSl5LXkveS25KLkjeR75G7kbOR45IvkmuSs5Mzk+uUl5TblKOUI5Ojk0uTE5LnkuuTc5SLlcOWf5ablnOWj5dXmRObm54jn3+fL53LnG+bz5wvnaugC6KLpFOlN6WzpgumO6ZfpveoL6mjqt+sA61frvOwa7G3sxu0x7aXuEO527unvefAY8JTwx/DF8NTxHvGG8dLx/PI08pLy/vNS85Pz2vQ09Jv1CPV29dr2MPaC9t73Q/ek9//4VPin+Qf5iPop+sb7OfuD+7776fvu+877vPvk/Dn8kvzY/Rv9ZP2t/ev+Jv5p/rb/CP9e/7cADQBZAJcAzQEKAVwBwQIeAmECkQLCAu8C/gLeAqYCfQJ2AokCqgLXAwoDPANrA50D3gQvBIUEzwUGBTMFYgWXBdAGFAZrBsoHGgdPB4MH0ghCCLgJIQmBCeIKQgqYCt8LHAtbC6oMDgx3DM0NBA0yDXUN0A4pDmwOnA7NDxIPbg/VEDkQlBDpETgReBGdEbYR3BITEkgSZxJ2EoQSoRLcE0ATxRRFFJkUwxTjFRMVShV7FagV3BYWFkoWdBaQFpoWkRaHFpMWvhb7F0EXihfKF+wX7BfkF/EYFhg6GE8YYRiAGKsYzhjjGO4Y9Rj5GP4ZERkxGU4ZVhlSGWEZkxneGi0afBrTGy4bfBuuG8QbxxuyG3obJRrWGrQayhr5Gx0bJhsiGxobBRrbGqUafhpvGmgaWhpHGjoaOhpEGlMaZxp3Gn0afRqKGrAa5BsUGzQbRBtMG1obgRvGHAwcMRwtHBMb7humGygaghndGVgZARjrGScZpxo5GqYa0xq7GmsaBRm2GYoZWxkIGL4YzhlBGbwZ2hmSGRoYmBgLF34XDRa/FnMWFRW+FZIVnRXKFgYWOBZHFi8V+hWbFNcTpxKQElcTPxS4Fe4WkxbnFyoXVRdWF0YXRxdKFzMXDxcAFwUW9Ba7FnEWLxXsFZQVMhTlFLcUmBRuFC0T5hO4E7cTzhPNE5ATKRLLEp4SphLMEuESuBJREdwRhhFAEOkQmRCZEQIRexGOESMQhhAMD9APwQ/OD+EP5A/KD6MPhQ9xD1UPFA6eDgANZQz9DNEMvwykDHoMTwwnC/sLyAuVC2ILLwsKCvwK+AroCswKtQqqCpwKgApfCkUKJwn1Ca8JZAkgCOUItQiRCG8IPAf1B6sHcQdKBygHAgbZBrIGjgZqBksGOgY2BjIGHAX6Bd4F0QXIBbMFmgWPBZcFpAWsBbQFwQXMBcIFngViBR4E3gSoBHkEUAQqBAoD6APAA5MDbQNPAzEDEAL4Au8C8ALuAuIC0gK9AqQCiQJxAlkCPwImAhYCDQIEAfgB6wHYAbsBoAGYAaYBsgGhAXYBTwFCAUsBUwFIASgA/QDUALQAngCOAIIAdwBrAFoARgAyABv//P/X/7D/jv9z/1z/RP8o/wv+8f7e/tL+yv7F/sH+uP6p/pf+hf52/mf+Wf5Q/kf+Of4m/hr+Gv4e/iD+H/4f/iP+J/4o/if+Hv4M/fT93f3I/bL9mf1//Wj9Uv08/Sn9Gf0M/QD89Pzn/N381PzO/Mj8w/y9/Ln8tPyu/Kn8pfyh/Jj8ivx9/HP8b/xr/Gf8Y/xg/F78W/xW/FH8TfxM/Ez8S/xJ/En8S/xN/E38SfxE/EP8RfxK/E/8UfxR/FL8Vfxa/GD8Yvxj/GL8Yvxj/GL8XfxX/Fb8Wfxd/F/8Yfxm/G78d/x//Ir8l/yk/LD8vPzL/Nv86vz1/P79CP0W/Sb9NP0+/UT9Sv1P/Vb9Yf1s/XP9dv15/YH9iP2K/Yn9jv2W/Zn9k/2N/Yz9jv2J/X/9dv1t/WP9Wf1S/U39R/0//Tb9LP0f/Q/8/fzs/Nn8wfyl/Iv8ePxr/GD8VvxL/ED8Nvws/CT8IPwh/B/8FfwH+/37+/v5+/T77/vt++377fvs++377/vu++z77/v2+/z8APwD/Aj8CvwF+/37/vwL/B38Kvwv/DL8Nfw4/Dz8QvxI/E/8V/xg/Gv8ePyG/JT8o/yv/L781Pzv/Qn9Hf0w/Un9ZP16/Yj9l/2r/cL92f3x/gn+If44/lX+ev6i/sL+3v79/yL/Rv9o/4//wf/4ACkAVACBALUA6AEQASgBNQE0ARsA1wBxABcADAB2AVACfAPWBTkGiQfJCRUKawuNDDcMawxuDHgMgwx0DFEMMwwcDAIL6wvmC+ULwgt3CyoK+QrXCqYKcgpdCnMKmAqzCsoK7AsYCzoLRgs9CykLEwsBCvYK7groCugK8AsBCwoK6wqLCfAJTQjUCIwIUwgRB9QHuQe4B7EHkwdyB2IHWAc6BwAGuwZ3BioFxwVWBOQEeAQHA4YDAgKUAlICOgIvAgoBrwEjAIj//v+R/zL+xv43/YH8xvxA/BL8H/wn/Aj74vvi/Av8M/w+/C/8Ffvy+8j7n/t5+0T68fqE+hL5qPlI+Pr40/jg+R35d/nR+gr6G/oV+hD6Dfn3+cv5qfmn+br5vfmn+Yz5eflq+VD5Mvkk+TH5Ufl1+Zb5uPnj+hX6PfpV+nP6sPsD+z77Q/st+zH7XvuR+6X7lPtd+v/6oPqN+vX7m/wC++/7o/t8+4f7i/to+zn7JPso+zT7Q/tf+4L7oPu0+8n74vv9/Bn8NPxD/D38Kvwg/Cn8OvxG/E78WPxk/HD8fPyK/JX8nPyk/LX8y/zc/OX87Pz2/P79Bv0Q/SD9Nv1S/W/9i/2j/bz93P3//iD+Pf5c/oD+o/7D/ub/Ev9F/3f/qP/ZAAkANABcAIgAuwDvASABTgF7AaYBzQHzAhoCQQJkAoMCoAK9AtwC/gMiA0cDaQOFA5wDsQPFA9oD8wQNBCAEJQQiBB4EHgQhBCQEKAQtBDIENAQyBDEENAQ8BEYEUgRhBG8EegSDBI4EmwSkBKcErwTGBOQE9gT2BPMFAwUkBTsFMAULBOgE2QTbBOAE4QTdBNEEuwSiBJAEigSOBJoErQS/BL4EogR3BEoESwROBE4ESwRJBEkESARHBEYERQRHBE0EVARWBFYEWARfBGkEcgR8BIgElgSjBLIEwwTVBOYE+AUOBSUFPAVRBWgFgAWYBbEFzgXqBgQGHgY5BlEGXAZeBmIGcQaEBpgGrwbUBw0HYQfBCAwIJAgTCAYIHAhDCFUIRwgyCC8IOgg8CBwHzAdTBswGUgXpBYsFMwTtBLoEjARXBB4D5wOzA3sDPwMDAscCjgJaAiwCAAHOAZQBUwEIALwAgQBkAFoAUQBAACX/9f+w/23/S/9H/0D/If7+/u3+3/6z/lv96v2A/TX9Ef0G/PD8vfyD/GL8Vfw6/Ar76/vy+/j7u/s3+qf6VPpa+qr7Dvsy+sb5z/jA+C34UPjj+Wb5hflB+Mj4QPe99032/vbS9r32pfaA9lv2TfZm9pr2zPbh9tT2uPac9m/2HfW69X/1jPWz9ar1avVH9Yn2F/aL9p32WfX29Z71W/Un9Pn0xvSV9H/0i/Sj9KT0lfSc9Mn0/vUT9Qz1EvU/9X/1rfW29aX1h/Vj9TT0+vTA9Jn0jfSX9KL0nfSK9HD0V/RE9Df0LvQn9CL0IfQi9CL0GvQN8/rz4PO985vzgvNv81TzK/L98tLyqvKA8lzyQvIt8g7x2vGa8WvxavGk8gHyWPKC8nLyMPHM8Vfw6PCO8E3wGO/n77fvi+9j70DvJe8M7uvuw+6e7oDuXO4n7entse2C7UztCOy/7HvsP+wD68jrk+tl6zvrEOrj6rPqeuo36erpm+lK6PTomuhF6ADnyueZ52jnOucS5u3mwuaT5mfmP+YW5ejluuWQ5WnlSeUx5R7lDOT+5Pfk+OT55PTk7OTo5Ovk9OUD5Q/lDeT+5Ovk2+TN5MLkxOTW5Ovk+OUG5SblUuVv5WjlROUa5Prk5OTU5Mvk2eUL5Vnln+W75bPlquXA5gPmeOcY57Ln/+ff54DnMece50rnreg16L/pH+lJ6VTpV+lZ6WXplOns6k/qourr60Dro+wB7Ffsue0x7bHuIO597uHvavAP8JbwzfDD8MPxA/Fk8ajxxPHs8jzynfLl8xnzWPO29C30sfU59bX2GvZu9r/3E/dq98L4Gfhv+Mv5PPnC+kP6pPrt+zD7ZPty+2D7X/uV+/f8W/ys/PH9M/13/bz+Bf5U/qf+/v9a/7YACgBUAJMAyQEGAV0BzQIwAmICcQKNAskC+gL0AsQCpQK7AvMDKANVA4gDxQQDBDsEdwS/BQkFRgVwBZcFxwYABjwGggbaBz0HlQfWCBAIWQiuCPcJKwlZCZoJ8QpUCrYLFAt3C+wMcwz4DWINpQ3SDf0OLQ5ZDoMOsw7xDzoPiQ/ZECcQcBC2EPkRLRFOEWgRjhHFEfwSIBIxEjkSSxJ+EuYTdxQEFGIUjxSoFMYU5xUKFTkVehXFFgoWQBZiFmwWZBZdFmwWlxbaFywXgBfAF9YXyBe6F8UX5RgAGBAYJhhNGHgYkBiUGJQYmRifGKEYqxjJGO0Y/xkBGQ8ZRBmWGesaOhqOGucbMxteG20bahtRGxQauxpwGlkadhqmGsca0xrSGskatRqUGm4aUBo/GjMaIRoJGe8Z3RnZGeIZ8hn7GfYZ6hnpGfgaDxomGjgaRhpLGlEabxqxGwMbPRtPG0UbKBrjGmYZzBlMGQgZBBk4GZ4aHhqLGr4atRqHGkoaDRnhGcAZhhkcGLIYpBkTGbYaGRoMGbEZPRjJGFkX8BePFzYW7hbKFswW4hb8FxEXFBb0FroWfhYnFVkT7RJtEcwSghQOFYIWZhblF0YXhheQF38XfxeJF3wXWBc/FzoXLBb/FsQWlBZnFiwV6BW1FZQVaxUeFKwUPBQDFBQURxRQFAMTgRMTEukS+xMlEz4TKxLqEpYSRRHtEYMRLREpEX0R1RHREWUQzhBND/8P8xAlEGwQhRBQD/UPtw+vD7wPng8vDnoNvQ07DQYM/AzyDN0MvwyRDEwL/wvGC6cLkwt6C10LOwsNCtwKuQqrCp0KgApaCjgKFQnlCaoJcQk/CQ0I1QihCHIIPQf5B6wHawdBByQHAwbZBrEGlQZ/BmEGOQYTBfwF8QXoBd4F1AXJBbcFoAWPBYoFkAWbBaoFugXBBbYFlwVpBS8E7wStBG8EPQQaBAED5wPEA5oDdQNVAzUDFQL6AuwC5QLdAtMCxgK1AqACiAJxAloCPQIfAgYB9wHtAecB3gHNAa4BjgF9AX0BeQFjAT4BIgEdAScBMQErAREA5wC4AJIAewBwAGcAXABNAD4AMwAmAA7/6v+//5T/b/9S/z7/Lf8V/vb+2P7F/rv+s/6q/qP+mf6J/nP+X/5P/kH+N/4z/jP+LP4a/gv+C/4W/h7+H/4f/h/+Hf4V/gj99f3e/cb9s/2i/ZD9eP1g/U39O/0o/RX9Bfz6/O383vzR/Mn8w/y9/Lb8svyv/Kz8qPyl/KT8o/yg/Jn8jvyB/Hj8cvxt/Gb8X/xd/F78Xvxa/FP8T/xP/FD8T/xM/Ev8TPxP/FL8U/xS/FH8U/xY/Fv8W/xY/Ff8Wvxg/Gf8bfxx/HT8d/x5/Hf8dfxz/HX8evx9/ID8hfyL/JH8lfyb/KX8svzA/M383Pzs/P39Df0a/ST9Lv06/Un9Vf1c/WL9aP1u/XX9fv2I/ZD9k/2V/Zz9pP2o/aj9q/2x/bP9rf2k/aH9of2e/Zn9kv2K/X/9df1v/Wv9ZP1a/U/9Rf04/Sj9Fv0E/O781fy7/KP8kfyC/HP8Zfxb/FT8TvxI/EH8PPw6/Db8LPwe/Bb8FfwU/A/8CPwF/Ab8B/wF/AT8A/wB/AD8BPwN/BX8Gfwb/B/8Ivwf/Bn8GPwi/DL8PvxD/EX8SfxO/FP8WPxf/Gf8cPx6/IT8j/ya/Kj8t/zE/NH85Pz+/Rr9Lv0+/VL9bP2E/ZT9ov22/c795f38/hb+MP5H/l7+fP6h/sX+5P8B/yH/QP9f/4X/t//xACgAVwCEALQA6AEaAT8BVQFfAVkBMwDlAIoAXACKASACEANEBKMGBgdZCKkJ+gshC90MLQxXDJQMzQzMDJUMWQw4DCcMHAweDCQMDgvXC6ULkQt+C0EK6QqxCrAKwAq6Cq8KwgrzCyELNws+C0ELPQstCyALJAs4C0YLRgtGC0sLNgrcCjwJjgkUCNMInwhYCBEH6gfhB9EHrweOB4MHgAdrBz8HCgbRBoYGIgWzBUsE5wRzA+cDWgL1AtkDAgM9A0MC7AJJAZQA9gB1AAD/hP7v/jX9a/zO/I38kPyM/Fv8IPwP/Cn8RPxG/D78Nfwh+/n7zPuo+337MfrD+kj51fl1+TX5Ivk/+YL52Pom+k76RPoh+gf5+fnc+ar5hvmR+bf5yvm/+az5pfme+Yr5cPlm+W75fvmP+ab5yPnz+iL6UvqB+rP68fsz+137XPtE+0D7YPuP+677rfuE+zb66frh+z77v/v4+8b7bftE+077Ufs1+xn7GPsn+zL7PftX+4H7qfvF+977+vwa/D38Yfx3/HT8XfxJ/ET8S/xT/Fv8Y/xq/HD8efyG/JP8nPym/Lf8zPzc/Ob87vz2/P79Bf0O/R79NP1P/Wv9hf2b/bT90/33/hj+Nv5W/nv+n/6+/t3/BP80/2X/lf/E//QAIgBNAHoAqQDYAQUBMQFbAYMBqQHQAfoCIwJIAmgChQKiAr8C4AMDAyYDRgNiA3oDkgOoA74D1APmA/AD8gPwA/MD/QQIBA4EEQQVBBwEIQQjBCMEJQQrBDMEPgROBGAEbwR6BIYElASeBKQErQTDBNwE5ATYBM8E5AURBTIFKwUGBOYE3wToBO4E6gTgBNAEuQSgBJIElAScBJ0ElQSKBHoEZgRTBFsEXgRcBFcEVARWBFgEVwRWBFYEWgRdBGEEZARnBGsEcwR7BIIEiASSBJ4EqgSzBL8E0ATjBPYFCwUkBT0FUQVlBXwFlAWrBcIF3QX5BhIGLQZNBmoGegZ+BoYGmAasBrwGzgb1BzoHkwftCCoIOQgoCB4IMwhaCHUIcwhhCFYIWQheCEcH/QeFBv4GhQYbBbcFWQURBN4ErgR0BDkEBgPWA6ADXwMYAs4CiAJQAiUB/QHMAZMBVgETAM0AkwB0AGcAWAA+ABj/4v+f/2f/Uf9V/1D/L/8L/vX+3f6l/kv96f2a/WT9Q/0t/RD85fy5/Jz8gvxW/B/7//v1+8/7ZfrU+mb6Svp3+s/7Jfsz+rT5rviV9/n4Ffim+S/5Wfka+KD4Ive792v3Kfbz9s32s/aa9oP2ffaX9sX27fb89vL22Paw9nD2G/XM9ab1q/Wy9ZD1TPUp9Vz13/Zy9tb27fa79l72AfW69X/1M/Tk9M31CvVc9WL1E/TX9Q/1o/Yh9kX2N/ZE9nf2m/aG9kT1+vW59Xr1OfUA9Nz0zfTK9Mv0yvTA9Kv0jvRz9GT0XfRU9Ef0QfRF9E30TfRB9C30E/P189fzv/Oq84/zavM+8xTy7vLL8qjyifJr8kryHvHp8brxrvHb8jXyjvKy8o/yNPHH8WTxFPDW8J7wa/A98Bfv9u/U77HvkO9v70jvIO8A7ujuyu6Y7lzuIu3s7a3tZO0b7Nnsnexl7DDsAuvU66Hra+s26wXqzeqI6jrp6emZ6Ufo8+il6GToMOgB59LnpOd751LnJ+b65tHmqeZ+5k/mIOX25dDlruWR5XrlaOVc5VflV+VW5VHlS+VH5UnlU+Vi5WnlYuVQ5UDlNuUr5SHlJOU15UnlVOVg5X7loeWs5ZHlYOU05RblAeT05PXlEuVR5Z/l1eXa5cDltuXa5i3mqudF59foG+f055DnR+dE537n3ehP6LvpA+ke6SLpJukx6UvpgenX6jfqi+rX6y7rkuv37FvsyO1H7cbuMO6F7t7vXu/88IHws/Ch8Jjw0/E18XjxjfGn8fDyTfKR8rvy8PNP89P0ZvT29Xj15/ZF9pn25vcs93P3w/ga+Hf42/lH+bD6CfpW+pz61Pru+vP7B/tD+6H8Bvxe/KX85P0m/XX9z/4q/oL+3f86/5L/3gAmAG4AsQDzAUkBugIdAkICNgI9AnoCvwLJAqECjQK7Aw8DVgOHA78ECgRbBKIE5AUqBWsFmgW3BdUGAgY6BnQGtwcMB2wHwwgKCE8InwjuCSMJOglLCXUJwwopCpgLCguHDBYMsw1DDaoN5Q4IDiUOQw5hDocOvg8DD0kPhw/CD/4QPBB7ELcQ6BELESgRShF4EaoR0xHrEfMR/hIsEpcTLxPCFCQUVRRtFIEUlxS1FOoVNhWJFdIWCxYvFjkWMRYsFjwWZxapFwAXXhekF7YXoBeIF4wXoReyF70X0xf8GCIYMRgsGCoYNRhDGEkYThhkGIgYpRi0GMsZAhlWGa4Z/hpPGqUa7RsVGx8bEhrkGpAaMhn4GfwaJxpSGm0afBqEGn4aaxpTGkEaNBonGhUZ/hngGb0ZnRmGGXwZfRl+GX0ZfBmDGY8ZnBmlGa8ZuBm2GawZrRnJGfUaFBoZGhQaCxntGasZXhk4GVEZlRnoGjoahhq2Gr0aoxqDGmUaRhojGfcZrxk/GMgYmBjkGYgaGBo/GfoZhBkaGNEYmhhfGB4X6hfTF9AXzRfFF7kXnBdYFv4WthZyFcsUdBLOEcsSEhNiFOUWBBbAF0wXqxfIF70XuRfEF78Xnxd9F20XYBdCFxkW8xbNFp4WbhZOFjoWGBXMFVgU2xSFFG0UexRwFCkTwRN0E2ATbxN+E3gTXBMwEvsSvxJ0EhgRyxG1EdYR8hHQEW8Q9BCCEC4QGhBXELoQ7xDEEFgP9Q/ID70Pow9ODsMOMg3SDasNmg2BDWMNRw0ZDMcMZwwuDCoMNgwmC+4LnAtACuwKswqcCpIKfgpaCjAKBQnTCZ4JdAlVCTII/Qi7CHsIQAgBB70HfAdMBysHCAbbBrAGmgaRBnsGRwYFBdQFwgXDBcYFxQXCBbgFpAWKBXcFdgWGBZ8FswW1BaQFhQVeBS4E8ASmBF8EKAQHA/UD4QPFA6IDfwNfAz8DIQMJAvkC6wLbAsoCuwKsApkChQJwAlkCPgIeAgAB6gHeAdgB0AG/AaMBhAFrAVcBQAEjAQsBAQEFAQsBDAEFAPIA0gCpAIQAbABhAFgASAAwABwAEwAM//n/1v+r/4H/XP9B/zL/Kf8U/vD+yP6t/p3+j/5//nP+Z/5W/j/+Lf4l/iP+I/4o/jH+Mv4n/hr+GP4h/if+I/4c/hP+B/30/d/9yv20/Z79jP1+/W79WP1D/TL9JP0T/QL89/zt/N78yvy7/LX8svyu/Kn8pvyj/J/8mfyW/Jb8l/yV/JH8ivyC/Hz8dvxv/GX8XPxa/F/8Yfxd/Fb8U/xT/FT8UvxQ/E38TvxR/Fb8W/xd/F38YPxk/Gb8Y/xe/F38Yvxp/HD8d/x+/IX8ifyL/Ir8iPyL/JL8mfyd/KH8qPyx/Lb8uPy9/MX80Pzd/Oz8/f0O/R39LP07/Uf9Uv1d/Wr9dv1+/YT9iv2R/Zf9nv2n/a79sv20/bn9wf3F/cb9x/3L/cv9xv2+/bn9tv2z/a/9q/2n/Z/9l/2R/Yr9gP10/Wj9Xv1S/UP9Mf0d/Qf87fzU/L/8rfyc/Ir8ePxs/GX8Yvxe/Ff8UfxP/Ev8Q/w4/DL8M/wz/Cz8JPwg/CL8I/wi/B/8G/wY/Bf8Gvwi/Cv8L/wx/DX8Ovw7/Dj8OPw+/Er8VPxY/Fr8X/xl/Gn8bvx1/H/8ivyU/J78p/yx/L38y/zZ/OT89P0M/Sn9QP1P/V79dP2M/Z/9sP3F/dz98f4H/iL+Qf5b/m/+hv6k/sb+5P8A/xz/O/9c/4H/rv/hABcATACAALQA7AElAVUBcwGCAYkBfgFQAQQAxADBARABtgK0A/8FagbJCBcJYwqTC3AL8wxWDMENDw0GDLcMagxEDC8MGwwbDDgMTwxIDEIMVAxZDBcLmwsxCwAK4wqxCoIKhwq7CvALDQsjC0ILWAtZC1gLdAukC8ALuQunC54LhgstCowJ3gllCSkI+Qi1CGwIPAgjCAUH1wetB5UHgwdnB0cHLQcMBsoGZAX1BZYFPQTOBD0DpwNEAz8DkgP7BB8D0AMtAnsB4QFWAMoAPP+n/vj+M/2O/Tv9Kv0P/MT8bfxE/ET8Rvw8/D38UPxV/DT8APvU+6v7afsD+oj6FPm8+ZP5nfnL+gj6SvqD+pr6e/o4+f352Pmx+X/5Y/l8+bf54fnp+eb56fnn+df5w/m++cD5vvm4+bn5xvnf+gr6Tvqc+t77DPsu+0j7UvtK+0T7Vft7+6L7s/ue+2b7MPsz+3771vvo+6T7UPsw+zz7Qvsu+xz7I/s1+z/7R/ti+4/7vPvd+/f8Evww/FT8ffyd/Kn8nvyI/HX8avxn/Gv8cvx1/Hb8e/yG/JP8nfyn/Lf8yvzZ/OT87Pz0/Pv9Af0L/Rr9L/1K/Wb9gf2Y/bD9zv3w/hL+MP5R/nb+mv66/tj++/8l/1P/f/+s/9sACwA8AGsAmADDAO0BFQE8AWABhAGrAdQB/AIhAkMCYwKCAqECwQLjAwUDJQNFA2QDggOcA7IDwwPPA9UD1wPaA+UD8wP/BAIEAAP/BAMECgQOBBAEFAQbBCMELgQ9BFIEZgR2BIUElQSiBKsEtQTDBMwExASuBKMEuATnBQ0FEAT7BOsE8AT5BPUE5QTXBM0EvgSpBJwEnASeBJQEfARkBFYEUgRVBHYEcgRpBGEEXwRiBGUEZQRnBGsEcARzBHQEdgR7BIMEjQSUBJcEmgSjBK8EugTBBMwE3wTzBQYFGwU0BUwFYAV0BYsFowW4Bc8F6QYDBhoGMgZRBm8GgAaIBpgGtAbQBuIG+AcqB3sH2AgjCEgIRQgwCCgIQAhuCJQInwiUCIcIhgiHCG0IIAekBx0GpQY9BdkFewUzBP4EywSPBFUEJQP2A78DfAMvAtkChQJEAhoB9wHKAZQBWwEgAOMAqwCHAG8AVQAxAAj/2v+o/37/bf9t/2L/P/8W/vX+0P6R/j/99P3A/Zv9e/1c/Tz9HP0B/Oj8v/x8/DT7/vvL+2v63fpf+jL6Wfqj+uv7HPsL+oX5kviW+Aj4FviJ+QH5MvkC+I/4Efe394H3Uvcd9u32z/a+9rD2rvbC9ub3BfcX9xz3EPbi9ov2JvXY9bX1rPWb9W31LfT/9Q71cvYW9rz3GvcN9r72e/Zr9lz2CvWF9Tj1afXN9df1avUT9Wn2VPcq92/3TPc592H3h/do9wn2mvY39dz1iPVI9SX1FvUL9QP0/vT39OP0xPSl9JL0hvR59Gv0ZvRx9ID0hPR49GP0TvQ59CP0CvPw89LzrvOI82PzQ/Mk8wHy2fKv8oXyWPIm8fzx9/Ip8oPy0PLe8p/yM/HJ8X7xT/Ep8PzwyvCc8HrwXvA98Bfv7+/K76fvie9y713vPO8K7s3ukO5R7gztwu187T3tAuzK7JvscOw/7ATrxeuN61zrJurh6pDqPOnq6ZzpUOkJ6MvomOhp6DvoDefi57fniude5zXnDebh5rHmguZY5jPmEOXw5dblxuW+5bvluuW35bPlsOWu5bDluOXE5cnlwOWu5Z/lluWM5YHlguWT5aXlseXC5dzl8OXl5bnlheVb5T7lKuUk5TPlXeWf5ePmB+X65dTlyeX15lPm1edu5/roOOgM56TnWude56Dn++hY6Kjo2ujs6PXpCukr6VPph+nP6iPqdurI6yPri+v77HPs9O117evuSu6Y7unvVO/X8EfwdPBl8GHwnvEF8UzxYPF28b3yG/Jc8nfynvL784j0IvSw9Sv1m/YG9mj2t/bw9yX3avfD+CH4efjM+SH5dvnH+gv6PPpb+nb6ofrl+zz7mvv0/EL8hvzO/Sf9if3n/j7+mf72/0T/gf/AAA0AWwCkAPoBagHPAfcB6AHtAi4CfgKTAnICYgKVAuwDMwNjA50D8ARMBJsE4gUoBWUFjQWkBbwF4AYOBkAGfwbSBzAHhwfYCDAIlAjzCTQJVglwCZsJ4Ao2CpYLAAt8DBAMrw05DZQNxw3rDhYOQw5rDo8OvA7uDx4PRg9wD6MP4BAhEF8QlhDDEOYRBxErEVgRhxGqEbYRvRHnElES6BN1E9QUCBQqFEcUYhSGFL8VBxVQFZEVyxX2FgYWABX7FgkWLBZlFrcXGBdjF3gXYBdEF0MXVBdlF3AXgxeiF78XyxfIF8oX2hfvF/wYAhgSGDEYURhoGIUYvRkQGWgZuxoQGmYarxraGuUayhp/Gg0ZpxmDGaYZ4RoIGiAaOhpPGk0aMRoWGg0aERoQGgQZ6xnMGakZiRlwGVwZTRlFGUQZShlUGV0ZZBltGXoZhxmIGXcZXxlPGUcZPBktGSgZNxlJGU4ZVBl+GdYaOxqHGrIaxhrKGroanxqHGnUaXBo0GgIZxxl2GQsYsxi0GSEZuRoTGfoZlBkvGPkY4BjAGIwYWRg1GBsX/xfoF9wXyBeLFy0W2hadFiEVBxNyEigR7hLYFE0VoRaaF0cXuBfpF+sX5xfuF/AX3Be+F6gXmBeDF2QXQRcYFukWvxajFpAWdBZCFfUVkRUpFNYUoRR3FEUUExP5E/sT/BPjE7QTgRNVEzATChLbEqESaBJCEi4SEhHZEYsRNBDYEH4QRxBZEKgQ8hD5ELQQTQ/tD6kPeA9EDwAOvg6RDnQOSA4EDcUNoQ16DS4MzQyWDKAMvQyqDFYL2gtYCugKnAp9CnkKcQpVCi0KAwnVCaMJeQldCUUJHAjbCJAISggNB9IHmAdlBzwHEgbgBrIGmgaWBocGUwYCBbwFmQWWBZ4FpgWrBacFkwV0BVoFVgVsBYsFogWhBYsFagVGBRoE4ASYBE8EFwP1A+MD0wO9A6MDhwNpA0sDMAMaAwkC9wLgAsoCtgKmApcChQJxAloCQAIhAgAB4wHRAckBwQGxAZkBgAFnAUcBIAD8AOsA6wDwAO4A5gDbAM8AuwCeAH0AYgBRAEMALQAO//P/5//j/9T/t/+S/2//UP82/yj/IP8L/uH+sP6M/nb+ZP5R/kT+Pf4x/h7+Ef4S/hv+Iv4p/jH+M/4p/hz+Ff4V/hH+B/36/e/93/3M/bn9p/2S/Xr9Zv1X/Uf9NP0h/RH9A/z0/Oj84vzc/M38uPyp/KP8o/yh/J/8nvyb/JP8ivyG/Ib8hvyF/IP8f/x8/Hn8dvxw/Gb8Xvxd/GD8Yvxe/Fn8V/xX/Fb8VPxS/FH8UPxT/Fn8YPxk/Gb8a/xw/HH8bfxp/Gv8cfx4/H78hfyO/Jb8m/yc/Jv8m/yg/Kn8svy4/L78xvzO/NX82vzi/Ov89Pz+/Qz9IP0x/T79Sv1Y/Wb9cv18/Yn9lv2f/aX9qv2x/bf9vP3D/cr90P3S/dX92/3f/eH94v3j/eP93/3a/dX90f3L/cb9w/3B/b39tv2u/aT9lv2J/X79dv1s/V39TP05/ST9C/zy/N38y/y5/Kb8lPyG/H38d/xw/Gn8ZPxi/F/8WfxQ/Ev8S/xM/Ej8QPw7/Dz8P/w+/Dr8N/w2/Db8N/w6/D/8QvxE/Ef8TvxV/Ff8V/xa/GL8afxs/G/8dvx9/IL8hvyN/Jj8o/yu/Lj8wvzL/NT83/zs/Pj9Bf0b/Tj9Uv1k/XL9hP2a/a79wf3X/e/+BP4Y/jH+Tv5q/n7+kv6r/sf+4f77/xb/N/9c/4X/rv/WAAMAOwB4ALUA8QEwAWgBjQGgAbEBvwGyAYEBQgEdAS4BiwJOA3kE2QY0B30IzAobCzgMCQyqDS0NaQ08DNgMkQx5DFwMKwwaDEgMiwyzDNINBQ0oDPQMaAvRC2MLCwqtCmsKcAqqCtwK8gsNCz4LcAuKC6EL0gwRDDIMKQwSDAIL3gt5CtQKKAmxCXMJRQkJCMcIlAhuCEQIDwfbB64HgAdTBzsHPQc4BwUGoQYxBdUFggUWBIUD7QOHA4YD6ARhBJIETQO8AyUCnAIJAV4AtAAd/4b+3/5H/ez9wP2C/Rb8qPxt/F38Tvw6/EL8a/yH/HH8OPwC+9T7mftB+tP6ZvoW+f76HfpX+ov6tfrZ+uL6s/pV+ff5t/mJ+V/5UPl1+b/5/PoY+iP6Lvoz+iz6I/oe+hj6Bfns+db5w/m8+d36Nvqp+vz7FvsU+xr7LPs3+zb7PftZ+4L7n/ud+377Yfts+6D70PvI+4v7Tvs8+0b7Rvsy+yX7LvtA+0v7Vftw+537zfvy/A78KPxD/GT8i/yw/Mn8zvzA/Kf8j/yC/IL8h/yI/Ib8ifyS/J38pPyr/Ln8yvzZ/OT87fz1/Pv9Af0I/RT9Jv1A/V79fP2W/a79yv3r/gz+LP5N/nH+lP60/tP+9v8d/0X/bP+U/8D/8QAkAFQAgACqANMA/AEhAUUBaAGOAbUB2gH9AiACQwJmAogCqgLLAuwDDwM2A14DgwOgA7QDvwPFA8cDywPSA94D7AP1A/YD8QPsA+4D9AP6A/8EBwQRBBsEJAQxBEQEXARyBIMEkwSkBLIEvQTEBMQEvgS1BLgE0QT2BREFEgUFBQAFBAUCBO8E2QTTBNsE3gTPBLoErASiBJIEewRpBGQEagRyBIoEggR5BHMEcQRyBHMEdQR5BH4EgQSBBIQEiQSRBJgEoASmBKkErQS1BMEEywTUBOAE8gUFBRcFKQU/BVQFaAV9BZUFrAXABdcF8wYMBh8GMgZMBmcGeAaDBpwGwwbnBwEHJgdsB84IKgheCGUITgg0CDEIUAiDCK8IwAi6CK4IqAifCHkIIQehBxwGqgZIBesFlwVUBR4E6AStBHcERwQVA9sDmwNOAvACjgJCAhgB+wHUAZ8BaAE0AP4AzACmAIUAXwA0AA//8//V/7f/o/+W/4D/Vf8j/vX+xf6F/j7+BP3i/c39u/2k/Yf9a/1T/Tb9APyr/E379/uT+wT6afoT+ir6gvrQ+vf6//rZ+l35kfjA+EL4NPh5+Nv5IPkW+LX4L/fG9473afc89w/29vbs9uf25vb09wz3JPc791H3UPcY9qr2MvXe9bT1mfV39Uz1HfTv9OD1H/W19mL2w/ay9nb2gPbl9zr3A/ZJ9aD1hfXJ9dj1fPU49ab2tvex+Az37ffZ+Af4OPgh98L3SfbS9lv16/Wa9XH1YPVS9UT1OfUu9Rv0//Ti9Mj0svSg9Jb0m/Sr9L30xPS79Kv0nfSR9H70YvQ/9Bzz+fPY87nznvOB81zzLfL68sjykvJY8jHyPPKD8uDzGPME8rDyR/Hz8cDxofGD8VrxKfD88NnwuvCX8G/wSPAo8BDv/e/s79Tvru957zvu+e6z7mruJe3n7aztce067Qrs3Oym7GXsI+vr67nrg+s/6u7qmepI6fvps+lw6TTpAOjS6KToduhI6Bzn7ufC55fnbOdA5xDm4ua55pPmcOZP5jbmJ+Yi5iHmH+Yd5hvmG+Yc5h3mIuYq5i3mI+YR5gDl8uXk5dnl2uXp5fzmDuYk5jnmOeYY5eLlsOWM5XHlYeVm5YPltOXs5h7mMuYe5ffl7eYc5n7nAuea6CDoWugo57znced658PoHuhv6Kfow+jN6ODpDOlF6XfpounV6hrqbOrD6x/rg+v57IXtGu2h7gzuY+6x7v3vTu+n7/bwH/Ai8C7wcvDX8SDxNvFN8ZXx8/It8jjyTvKl8zjz2fRk9Nn1S/XA9i72g/a69un3KfeA99v4Ivhb+Jj45/k7+X/5rPnO+fn6OfqI+t77N/uR++X8MfyB/N39PP2V/ev+TP6r/vD/F/8//4D/zQAVAGYA0QE4AW0BcwGIAdICJgJEAi0CJQJVAqIC4gMSA08DpQQCBFMEnATgBRoFQQVcBXYFlwW7BegGJwZ8BtkHMweNB/YIbgjeCTMJcAmmCeAKHgpfCqUK+wtoC+4MfAz1DUcNeg2tDe8ONg5sDosOnw6zDsYO3Q79DysPZg+mD+kQKxBoEJsQwxDnERMRSBFzEYERghGkEgkSmBMbE3ITrBPgFBEUOxRlFJgU0RUJFUMVhRW/FdwV2RXQFdcV7xYZFl4Wthb/FxYXARboFukXARcaFy0XPRdRF2UXcxd6F4AXjheiF7QXwRfRF+kYAxgaGDsYdhjHGR8ZdBnKGiQachqmGrYalBo1Ga8ZRBkuGWIZohnFGdwaARomGigaAxnZGcgZ0BncGd0Zzxm1GZgZghl1GWgZWBlKGUQZRRlFGUIZQxlLGVkZaBltGWEZRxkoGQsY8xjhGOMZABkvGV4ZkhnbGj0amhrTGuQa3xrUGr4anxp/GmQaQhoUGegZzhmyGWoY+BiiGLkZNhm4Gd4ZpBlTGSIZCRjkGKoYbxhCGB8X/BflF+IX4xfFF3oXIxbVFmcVgxQZEqsSBRKQE/QVeBaZF0oXsxfvGAcYCRgKGA0YChf7F+YX0Be5F50XehdQFyMW/BbdFsEWoxaDFl0WHRW9FVAU9xTAFKIUkRSKFIYUcRRAFAATxhOZE3QTVBM1ExQS6hK5EoMSRxIGEcoRkhFMEOoQgxBIEFkQnxDgEOcQpxA7D9MPkQ9sD0sPIg77DtIOkQ44DesNww2iDV4NAQzIDM8M6AzNDGkL3gtVCuQKmAp4CnIKaApICh4J/AnfCbwJlAlxCVgJOQkECLgIaAgjB+sHtweEB1QHIwbtBrsGmwaRBoMGVAYDBbIFgAVyBXcFgQWHBYMFcAVVBUMFRQVZBXIFggWABW0FTQUoBP0ExgSEBEEECQPkA84DvgOvA5sDhQNrA1ADOAMiAw4C+gLkAs4CugKqApsCiQJyAlgCPQIeAfwB2wHEAbkBsgGkAZMBggFtAUsBHgD3AOIA3ADXAM4AwQC2AKoAmwCGAGkASwAzACIADf/u/9D/wP+7/6//lP90/1j/PP8i/w7/AP7p/r/+jv5q/lb+SP46/jT+NP4v/iL+Gf4d/if+LP4r/ij+Iv4U/gP99f3s/eL91/3O/cX9uv2q/Zr9if1z/Vj9Qf0v/SD9Dfz7/O384PzS/Mj8xfzC/LX8o/yW/JP8lPyU/JT8lfyT/Ir8f/x5/Hj8ePx3/Hb8dPxz/HL8cvxw/Gr8ZPxh/GL8Yfxd/Fr8WfxX/FT8U/xS/FL8UvxW/F78Zfxp/G38dPx7/H38e/x6/ID8hvyL/I/8mPyi/Kr8rfyu/K/8sPy0/Lz8xfzN/NT82/zi/On88/0B/Q/9F/0f/Sz9P/1S/V79af12/YT9j/2Y/aT9sv29/cL9xv3N/dP91/3b/eL96P3s/e798f31/fj9+/38/fz9+f32/fL97f3m/d/92v3Y/dT9zf3E/bj9q/2e/ZT9jP2C/XX9ZP1U/UH9K/0S/Pr85fzU/MT8tPym/Jr8j/yE/Hz8d/x1/HP8bfxk/F38XPxf/F/8W/xX/Fb8WPxX/FX8U/xV/Ff8V/xV/FP8UvxT/Fj8Yvxt/HP8c/xz/Hj8fvyB/IX8jfyW/J38ofyo/LT8vvzI/NL83vzo/O389P0A/Q79Hf0w/Un9Y/13/Yf9mv2u/cD90/3p/gP+G/4u/kL+V/5s/n/+lP6s/sT+3P70/w//MP9Z/4X/rv/S//sAMgB1ALYA9AEzAW8BnAG4AdQB9AIFAfMBxAGSAXYBlAIYAxMEUwWWBs8IIwmYCwEMMQ0eDboN4g2VDS0NAw0HDOIMhwxLDG0MxQ0PDUsNnQ3mDdkNYAy3DBULfQrxCqAKqAriCwsLFQsmC1QLhwutC9cMGAxZDHUMawxZDEoMHQuxCxAKcAn+CbwJiwlVCRsI5gi0CH8ISQgTB9cHkQdTBzsHSgdVBzAG1gZsBhAFugVPBMQEMAPLA8cEJASdBNAEkwQUA5MDGAJ3AaYA1wA2/7b/N/69/mT+I/3J/Uj80fyT/H78ZvxM/FX8hvyv/KX8c/w8/An7zvuB+yX6xvp8+mf6jPrI+vT7C/sb+xb62vpl+en5kvlf+UD5QPlx+cb6E/o++lT6Z/p3+n/6fvp1+l76O/oZ+ff5zPmm+bT6Fvqm+xH7K/sT+wP7D/si+yz7M/tH+2X7f/uI+4P7gPuO+6n7t/uk+3j7VftL+0n7Pfsp+yL7MftG+1T7Yft6+6X71fv+/Bz8N/xU/HT8lvy3/NL84Pzc/Mb8rPye/J/8o/yg/Jv8m/yi/Kj8rPyy/L38zfzc/Or89vz+/QP9B/0M/RP9If03/VX9df2R/ar9xv3l/gb+KP5J/mr+iv6o/sn+7v8V/zr/Xf+B/6r/2QAKADoAZACOALgA4wELATABVQF8AaMBxwHpAgsCMAJVAnoCngK/AuADBwM0A2MDiwOnA7UDugO6A7sDvwPHA9ED3APkA+YD4wPgA+ED5wPvA/cEAQQMBBcEHgQoBDoEUwRrBH0EjQSeBLIEwATHBM0E3QT6BR4FPwVRBU0FOAUjBRoFFwUKBPAE3QTmBQMFFQUJBOgExwSwBJ8EkQSIBIgEjASOBJkElQSRBI0EiQSFBIQEhgSMBI8EjgSMBJEEmwSiBKYEqgSyBLoEwQTJBNME3gToBPUFBQUWBSYFNwVKBV0FcAWEBZsFsQXGBd4F+QYRBiEGMQZJBmEGcAZ/Bp0GygbzBxgHUQexCCAIcAiGCGwIQwgqCDEIWAiOCLoIywjDCLIIoQiHCFAH8Qd3Bv0GlwZABfIFrAVxBTsFBATMBJoEaQQyA/cDuQNuAwgClwJAAhYCAgHiAbABegFJARkA7gDMAKsAgQBWADkALgAiAAn/7f/R/63/dv84/v7+yf6N/kv+Ff33/fL9+P32/eH9v/2d/Xf9OPza/G77/vt4+tP6RPoZ+l36wvr7+wH69frP+mb5t/j/+IL4WPh4+M75LPlM+Qb4e/f79673gfdX9zT3Jvcr9zH3Nvc/9033Xvd094r3gPc19rX2OPXr9cH1l/Vo9UT1K/UL9PD1DPV39fb2JvX39c72JPbz96D3j/bB9db1bPWD9Z31cvVT9b/2tPel+Bf4Ivgu+Gj4nPiR+Ef34Pdq9uP2WvXy9bv1pvWY9Yr1e/Vq9VX1PvUj9QP05fTS9NL04vT29QT1CfUG9QD0+vTv9Nn0tfSM9Gb0RfQm9Anz8fPV86/zfvNM8xfy1fKO8mfyivLt80zzZvMt8s/yffJJ8ijyBvHe8bHxg/FZ8TPxD/Dp8MPwo/CO8H/wcfBe8EDwFu/i76TvXe8T7s3ukO5a7iPt6e2x7X7tSe0L7MfshexL7Bbr3Oua60/q/eqs6mHqGunZ6Z/pa+k76Qvo3Oiu6IHoVOgn5/rnz+ej53bnSOcd5vbm0+a15p7mkOaL5ormiuaJ5onmjOaO5o7mj+aR5o/mg+Zu5ljmROYz5inmK+Y65k7mZOZ75ofmdOZD5grl4OXG5bDlpuW15d7mDOY05lDmWOZF5ijmJuZX5rjnOufP6FDogehJ59rnkeeg5/PoVOie6MPoyejJ6OPpJOl06bHp0unw6iTqdOrP6yTrduvf7G/tE+2i7gzuZu7D7xjvVe+B76nvze/k8APwSPCl8OrxBPEd8WPxvfHv8fHx/PJM8t/zg/QT9I/1BvV+9e/2SPaH9rr29vdD94/3xffn+A74T/in+Pn5Mvld+ZL53fo4+pX67/tI+5v76vw9/Jf88P1G/aH+Cv5r/qT+tv7F/u//LP9q/7EADwBxALQA2AEHAVYBogHBAbwByAH+AkYCgQK0AvYDTQOoA/wERgSGBLkE4AUDBSoFUQV3BacF7AZFBqEG+QdZB80ITgjDCSAJbQm0CfgKMwpqCqgK+QteC9EMRgyrDPQNKw1pDboODg5KDmQOaA5pDnEOgw6gDscO9g8sD2sPtBABEEcQfhCrEN0RGhFJEVQRSBFcEbUSPRK4EwsTSxOPE9QUDRQ4FGEUixS5FPUVQxWNFbEVrxWkFaUVtBXRFgUWThaOFqUWlhaEFowWqhbMFuUW9RcDFxMXJRczFzkXPxdOF2UXfheVF6kXvRfVF/4YPxiQGOIZLhl9GdQaJxpkGn4aYhoFGX8ZFBj8GSsZZBmDGZoZwxnuGfYZ0xmkGYYZgBmLGZgZmxmLGXQZZxlmGWUZWhlNGUUZQBk3GS4ZLBkyGToZPhk9GTYZJhkVGQkZAxkCGQwZKxldGZgZ1hocGmgarBrTGtsa1RrKGrYakhpoGkEaFxnlGbsZthnEGakZPRi8GJEY5RlvGcAZtBmAGVUZNBkGGMkYkhhuGFIYMxgXGAkYChgEF90XkBcwFroV9xS5E0ASTxKPE+sVlRbLF2MXrhfuGCAYMRgrGCkYMBgwGB4YAhflF8oXrBeGF18XPBcdFvsW1xa1FpcWahYhFcgVfxVVFT0VIxUCFOAUuRSJFFYUKRP/E9UTqxOHE2cTPxMJEsgSgxJEEhER6BGvEUgQuxA+EBAQQxCnEO8Q6RCcED8P/A/MD4sPLw7VDpYOaA44DgkN5g2/DXgNHgzjDN8M6gzFDF4L2AtgCwsK2grGCroKmQpbChgJ7AndCdUJvwmeCX4JXwkvCOgIkwhFCAkH2AenB3EHOAb9BscGoQaMBnkGTgYGBbcFfQVjBWAFYwVjBVoFTAVDBUYFUAVZBVwFWgVWBUoFMQUNBOAEqwRvBDAD+QPQA7cDpwOaA4oDdQNeA0gDMwMdAwUC7wLeAs4CvwKvAp8CigJuAk8CMgIVAfQB0gG6Aa4BpgGbAY0BgQFwAVIBKwEIAO0A1AC9AKwAoQCTAH4AaABVAEEAKAATAAb/9//b/7r/pv+f/5L/df9T/zj/IP8F/uv+2P7D/qH+ev5f/lT+Tv5H/kT+RP5B/jb+K/4p/iz+KP4f/hT+B/31/eH90P3F/b79t/2y/av9nv2N/Xv9aP1R/Tf9If0Q/P786vzZ/M38wvy1/Kr8pfyg/JX8iPyA/IH8g/yE/Ib8ifyI/IH8d/xx/G78bfxu/G78bvxs/Gv8bPxt/Gr8Zvxj/GH8Xfxb/Fv8W/xZ/FT8UvxT/FP8U/xY/GL8a/xv/HP8fPyF/Ir8i/yP/Jf8nfye/KL8rPy4/L78wPzD/Mf8y/zN/NL82Pzh/On87/zz/Pj9A/0W/Sj9M/06/Ub9Wv1v/X39iP2V/aP9rP20/b/9zP3X/dv94P3m/e398P3y/ff9/f4C/gX+CP4L/g/+Ev4U/hT+Ef4O/gv+B/4A/fn99P3w/er94v3Y/c/9xf24/av9n/2U/Yj9ef1q/Vv9SP0w/RX8//zt/N/80vzF/Lb8qPyc/JP8j/yN/Ir8g/x5/HD8bvxx/HX8dfxy/HH8cvxz/HH8cPxz/Hf8ePxy/Gv8Zvxm/Gv8d/yG/I38jPyK/I38lPyX/Jv8o/yu/Lf8vPzF/NH82/zi/Ov8+f0F/Qr9Dv0Z/Sr9O/1L/V79dP2I/Zr9rf3A/dL94/34/hH+Kv5A/lD+XP5n/nb+jP6l/r7+1v7w/w3/K/9P/3n/pP/N//oANAB5ALoA9AEuAWsBnwHHAe4CGwJAAkkCMwIIAdgBxgILAsUD0QTvBhAHVwjVCmkL4w0jDf4OQQ39DaMNkg2sDYUNCwylDLENFA2CDesOYg7RDvIOqQ4WDV0MjQvJC08LPAtfC3gLeQt8C4kLkgueC80MIAxqDIEMcAxcDEsMHwvBC0EKxQpmCiMJ7wm+CYcJRgj9CLQIdgg9B/sHrQdoB0oHUQdXBzYG7gaWBkAF6AV+BP4EeAQXBAsEWgTHBPQEuwRHA9QDXAKtAb4AzAAX/53/OP7a/o7+S/3u/XT9B/zL/Kz8iPxo/G78nfzI/Mv8rPyB/Ez8Cfu++3H7Jfrk+s367Psi+0b7TvtK+zL65/pk+dX5a/kw+RX5Iflh+cb6Jfpg+n/6mPqy+sX6xvqw+ob6V/o1+hf55/mx+ar6APqW+xf7Sfs6+yD7Hfsx+0r7Xvtr+3L7dvt/+4z7nPup+6/7p/uP+3D7V/tF+zP7HvsT+xv7NPtN+177bPuG+6772/wC/B/8PPxf/IX8pPy7/M382/ze/ND8vvy2/Lr8vfy2/Kz8qPyr/K/8sfy3/MH80Pzh/PL9Af0L/Q/9E/0Y/R79KP06/VP9bv2J/aT9wP3e/f7+IP5C/mD+e/6V/rX+3P8E/yr/Tv9z/5v/yP/3ACQATQB2AKEAzQD3ASABSAFyAZoBvgHhAgQCKQJOAnMClgK4AtsDBQM2A2cDjQOkA60DrwOtA60DsgO6A8MDzAPTA9gD2QPZA9wD5QPwA/kEAgQLBBYEHQQmBDUETgRmBHkEiASaBK8EwATKBNsFAwVCBYIFpgWiBX4FUQUxBSUFIwUaBQgE/QUMBSsFPQUtBQUE2wS/BLIEqwSnBKQEoQSdBKoEqwSoBKIEnASWBJQEmASfBKEEnQSaBKAEqgSwBLAEswS9BMkE0gTYBOAE6wT4BQQFEgUhBTEFQwVWBWgFeQWMBaEFtgXKBeIF/QYTBiIGMwZKBmAGcAaDBqUG0Qb6BygHdgfqCFwIlgiJCFQIJQgWCCsIWAiNCLYIxQi4CJoIcwhBB/sHnwc3BtUGgQY5BfgFvgWJBVMFGwTmBLYEhARMBBMD1wOGAxICkgI0Ag4CAgHqAb8BjQFfATQBEAD0ANcAsACJAHUAdgByAFoANgAR/+L/of9Y/xf+4f6q/mv+MP4N/g3+IP4t/h79+f3P/Z/9WPzz/ID8B/t5+t36bPpm+r37F/s1+yj7HvsF+qn5//lD+Lz4h/if+PP5VfmA+Un4y/hL9/P3uPeF92T3Y/d695L3n/ek96f3rfe397n3kfcr9qX2PfYP9fn1zfWS9Wr1W/VH9Sj1KPVg9aD1oPVl9VP1x/am9133Yvax9dH1VPVV9X71gvV/9c/2ifde9/H4O/hy+K/42fjV+Kn4Yff492f2yvZP9gr17vXh9dX1xPWs9ZH1efVg9UD1IPUS9Rz1NPVH9U31TvVP9VD1TPU/9SL0+vTR9K/0kPRv9FD0N/Qf8/vzzvOh82vzH/LO8rDy8PNv887zyPNt8wjyzfK18prybPI18gTx3PG38ZDxaPFB8SHxCvD78O3w2/DA8JzwcvBB8AXvvu917zbvAu7R7pruYO4n7fDts+1w7Srs6eys7HDsM+vy66zrXusP6sTqgOpC6gnp1Omi6XHpP+kR6OTouOiK6F7oNOgM5+LnteeI517nO+ch5w7nAeb65vnm+ub65vvm/Ob85vrm9uby5unm2Oa/5qXmkOaA5njmfOaJ5pzmsubF5sbmpeZr5jTmE+YB5fHl7eYD5i7mV+Zv5nvmfOZx5mTmbeag5vzne+gM6IXoquhp5/rnt+fQ6Cvoj+jR6Ofo2+jU6PfpTOmv6fTqDeoY6j/qjurr6zLrZeus7Czs0+1t7eLuTu7H7zLvZ+9u73Pvje+x79vwG/Bu8K/wzfDn8SXxd/Gn8avxt/IB8onzKPO/9Er0y/VB9an2AvZM9oX2tfbn9x33Sfdl94D3tfgO+HX4yvkG+T35h/nn+k36rPsB+037mfvs/Ej8p/0G/Wr90f4k/kv+S/5K/mT+kv7D/v7/Tf+p//sAPgCDANABDAEnATgBYgGnAe0CIgJTApQC5QM+A5MD4AQeBEkEbQSXBMkE+wUqBWEFqwYEBl0GtQccB5wIJgihCP4JSgmQCc8KBgo+CogK6gtXC8AMHQxsDKsM5Q0oDXsNzg4KDiQOJw4pDjYOTw5uDo0Oqw7PDwIPSA+aD+oQLRBlEKMQ7REnETIRFxEWEV4R3RJWEqgS5xMyE4UTyhP6FB8URBRyFLQVCBVSFXYVcxVoFWkVdBWIFa8V7BYlFj0WOBYwFj4WXRZ/FpgWqRa2FsQW1BbgFuEW4hbxFxAXNRdTF2oXgBefF9MYGxhrGLAY6hkqGXgZzBoRGjkaLxnoGXIZBxjeGPUZIRlDGWAZhRmnGbEZoBmAGV4ZRBk9GUkZVxlVGUcZPhlBGUQZPBkyGSsZKBkiGR4ZIRkpGSoZIhkXGQ0ZBBkBGQkZGRknGTQZShl1Ga8Z7RooGmEakhqvGrYasRqnGpMabRo+GhEZ5RmzGYgZgxmgGaQZWhjmGKkY3BlLGZgZnRl8GV0ZQRkaGO0YxxiuGJYYeRhVGDQYJxgyGDcYDxezFzsWkBVyE/ISvhK3E/4VwxcKF48XvxgAGEgYZhhaGFAYWBhfGFAYMRgUF/sX4BfAF5wXehdbFzsXFhbvFsQWlBZeFioWBRXsFcsVlBVSFRoU8BTMFKoUhxRgFDET/RPPE6UTeBNCEwcSyhKPEloSLBHvEYQQ6xBXEBMQOxClEQERGBDuEK4QdBAsD7UPEg6ADjoOPQ5VDlIOLQ3vDaINWA0rDSMNHAzmDHUL8AuNC2MLZAtyC2sLNgrVCmMKCAncCdYJ1gnHCacJfAlICQQIsghiCCUH9wfIB44HTAcMBtQGqAaKBm8GRgYKBcQFigVoBVkFUQVGBTgFNAVBBVsFawViBUcFMQUpBSUFFATyBMQEkgRZBBwD5AO5A54DjwOCA3EDXANGAzMDIQMJAvAC3ALQAsYCuQKrApwChwJoAkUCJwINAfAB0QG4AagBnQGQAYUBegFqAVABNAEcAP4A0wCpAJIAigB4AFQALwAcABQACwAA//r/7//P/6X/iP9//3T/Vv8x/xb/A/7u/tf+x/65/qL+hf5y/m3+bf5m/ln+Tf5B/jH+Iv4Z/hL+Cf3//fX96v3Y/cL9s/2s/av9qv2k/Zj9hf1v/Vr9Rf0v/Rv9Cvz5/OX8z/y9/LL8qfyd/JH8iPyA/HX8bfxq/G38b/xy/Hb8evx6/Hb8cfxr/Gb8ZPxl/Gj8afxn/GX8Zfxm/GX8Y/xh/F38WvxZ/F38X/xd/Fn8WPxZ/Fj8V/xd/Gj8cfx1/Hn8gvyM/JP8mPyg/Kn8rfyu/LP8v/zM/NL81PzZ/OL86fzr/Ov88Pz5/QL9CP0L/Q39F/0p/Tz9Sf1R/V79c/2J/Zj9pf2y/b/9yv3S/dz95/3w/fX9+f4A/gb+CP4K/g3+E/4Y/hz+H/4i/iX+J/4p/in+Jv4j/iH+Hf4Y/hH+DP4H/gD99/3v/er94v3U/cH9sf2l/Zr9jv2A/XL9Yv1N/TT9HP0L/P387/zf/M/8v/yz/Kz8qvyo/KT8m/yS/In8hfyH/Iv8jPyL/Iz8kPyU/JP8j/yQ/Jb8l/yS/Ir8hPyC/IX8kPyd/KT8o/yf/KP8q/yv/LH8uPzE/M781fze/Ov89vz9/QT9E/0h/Sj9LP03/Un9Wv1o/Xf9iP2b/az9vf3P/eH98/4F/hn+L/5E/lT+XP5i/m/+hf6g/rj+0f7w/xH/L/9L/27/mf/J//wAOQB+AL0A8gEnAWMBnwHUAgYCOgJoAoMChwJyAkQCGAIlApgDZARaBWQGlQf0CXIK/Ax9DbYOUg5FDfgN3w3xDdMNaQ0PDSANmA43DtgPdQ/3EDQQIA/HDysOTw1gDKcMRgwgDAsL/QvvC8kLiAtdC4ML7wxRDG4MUQwpDAkL4gupC2cLJwroCq0KewpPChcJwglWCOsIlwhTCA0Hvwd9B1kHTQc/BxwG5gaoBmIGDwWsBTsExwRrBE8EgATOBOoEtQRTA/EDgQLQAdUAzwAC/3r/F/7G/on+VP4N/bH9WP0W/N/8p/yB/Ij8sfzX/OP82fy+/Ij8Ovvp+6j7cftB+yz7Qftt+4f7gvtq+z/66vpj+c/5WPkP+O34/flK+cP6OPqF+q76y/ro+v76/frb+qP6bvpO+jn6E/nh+c76CPqF+wn7W/tt+1z7UPtj+5D7ufvD+677l/uV+6f7u/vD+7v7qvuR+3P7U/sw+xH6/vsD+xv7OvtS+2T7ePuV+7375fwF/B/8Pfxn/JP8sPy9/MX80fzX/NP8yvzK/ND80fzI/Lz8tvy2/Lb8uPy//Mn81/zo/Pv9C/0V/Rv9Iv0r/TT9Pf1J/Vn9bf2D/Z39uv3X/fT+FP42/lT+a/6C/qD+xv7v/xf/P/9n/5D/vf/rABkAQgBpAJMAvwDrARYBQAFrAZMBtwHaAf0CIgJGAmgCiQKsAtIDAQM0A2MDhAOWA6ADowOjA6UDqgOyA7oDwQPJA9AD1APWA90D6gP4BAEECAQQBBoEIwQrBDgETQRmBHsEjASfBLUExQTPBOEFDQVSBZIFrQWZBWkFOQUfBR0FKAUxBS8FKgUsBTUFNgUiBQAE3wTKBMIEwAS8BLUErgSqBL4EvQS2BK0EqASlBKYEqgSxBLQEsQSuBLEEuAS8BL0EwQTLBNcE3QThBOkE9QUDBREFHgUrBTwFUAVjBXQFgwWTBaYFuQXNBeMF+wYQBiIGNgZOBmMGdQaMBrIG2wcCBzUHkggPCHgImAhuCC4ICwgTCDcIZQiRCLIIvgitCIAIPgfxB6EHUQcEBrwGewY+BgUF0AWdBWgFMAT8BMsEmQRlBDED9gObAxcCigIqAgYCAAHwAc8BqAGBAVoBOgEgAQQA3QC4AKkArgCrAJIAbABDABH/zP+A/z//Dv7b/p3+X/42/iv+Nv49/jD+EP3n/av9UPza/GD77Ptx+vf6sPrJ+yf7c/uA+3D7b/tl+w/6XPmO+Pv4y/jx+UP5ifmU+Vf49PiW+Ez4CPfH96D3p/fP9/f4CfgE9/j38Pfp9873g/cI9oz2SvZK9lb2OPX39b71ofWJ9Wr1WPVk9Xb1ZvVA9UT1o/Y69q/2tPZK9b/1bfVz9aH1uvXA9fP2f/dD9/n4efjL+QD5G/ke+Q744viB9+b3Ovay9mP2P/Yu9iL2EPXx9c71svWc9YL1Z/Vd9Wr1gfWO9Y31iPWI9Yn1hfV19Vr1N/UX9Pz03vS69Jj0gPRq9En0H/Px87fzZPMU8w3zcfQI9GP0QfPM82DzK/MY8vnyxPKJ8lryN/IV8e7xx/Gk8YrxdvFl8VLxN/EU8Ozww/CW8F/wHe/b76Tvde9D7wjuye6O7lPuEu3N7YrtTO0P7M/sjuxN7Afru+tt6yPq4eqm6m/qOuoI6dXppOl06UbpGOjr6MHomuh06EvoIOfz58jnpueP54Dndedt52vnbOds52rnaOdl517nVedK5zvnJecJ5u7m2ubO5srmz+ba5uvm/ucJ5v/m1uaa5mTmReY05inmKeZA5mbmhuaX5p/mpOan5qvmv+by50jnwehL6Lboy+iA6BTn3ugA6Fzou+jz6Pvo5ejd6Qzpcunj6ivqPeo96lzqq+sK60brV+tz69bseO0c7aHuIe6y7y7vY+9Z703vZe+S77/v9fA78HjwmPCx8ObxMPFk8XXxi/HP8kXy1PNq9AL0jfT+9Vn1rvX/9jj2UvZj9oP2svbc9vr3J/d99/L4YPis+OL5JfmD+e36Tfqa+t37JPt4+978UvzK/Tn9kP3D/c39wv3B/dn+AP4q/l7+pv8A/17/uwATAF0AjQCqANMBFwFlAaABxgHtAiYCbwLAAxMDYgOgA8kD6wQXBE4EhQS5BPQFPgWTBeoGRga4B0gH4ghqCM4JFwlRCYIJsAnsCkgKwAs8C6IL7gwpDF8MmgziDTYNiA3CDd4N5w3wDgcOKQ5MDmYOew6TDrsO9g9AD4oPyRAFEFEQshEEERkQ9RDbEQwRgBH3EkQSfBLDEx0TchOwE9wUBBQ1FHkUyBUKFSgVJxUfFSIVKxU4FVkVjxXGFeMV6RXwFgYWJBZAFlUWZRZxFnoWgBaBFn4WgxaZFsAW6hcMFycXRRduF6kX9Bg+GHkYpxjaGR8ZcRm9GfYaCBngGYMZGBjSGMgY5RkQGTYZVBllGWwZcRluGVkZMRkRGQoZFBkaGRQZERkVGRcZERkIGQYZCBkJGQwZFRkeGR8ZFxkNGQIY+Rj1GP4ZEBkeGScZNhlaGZAZyxoBGjIaXxp/Gosahxp6GmIaORoDGc4Zohl5GVwZWhlzGX4ZUhkEGNkY+Rk+GWcZYRlKGToZLRkZGQQY7RjQGK8YkRhzGFIYQRhaGIYYihhJF+EXUBZMFLgTNRLME+AVrxcaF7gX8Bg0GIEYnRiLGHwYhRiNGH8YZBhLGDMYGBf4F9UXsReOF28XURcrFvgWwhaSFnIWXhZFFhUVzhWIFVUVNhUYFPIUyBSeFHEUQRQRE+ITsxODE1MTIhLrErESeBIwEcMRNBC4EIoQthEMEUoRUREtEPwQxxB2D+4POw6hDmMOgw63DrQObQ4QDckNpg2cDZcNew0rDKMMFAvAC8IL/gw6DEsMIgvACy8KkQoUCdoJ1QnaCcQJkwlVCQ8IvwhwCDAIBAfaB6AHWgcVBtsGrwaLBmgGQAYNBdMFngV3BWAFTQU3BSQFJAVABWUFcwVYBSkFCAT/BP0E7ATKBKAEcwRABAYDzwOkA4kDeANqA1gDQgMrAxkDBwLxAtkCyAK+ArQCpgKbApMChQJpAkQCJAIMAfMB2AG/AakBlQGEAXoBcgFhAUkBNwErAQ8A2QChAIoAiwB8AE4AHQAGAAQAAP/2//D/4v+7/4P/XP9S/03/Nv8U/vz+8v7m/tb+zP7F/rf+oP6N/oj+hf52/ln+Of4g/gv9/P3w/eb93v3Y/dT9zP26/aX9lv2S/Zb9mP2Q/X79aP1S/T79Kv0V/QT89fzl/NH8vPyq/J78lPyI/Hz8cvxn/F38V/xX/Fn8W/xe/GT8afxr/Gr8aPxk/F/8W/xd/GH8Y/xh/F78Xfxd/Fz8Xfxd/Fv8WPxZ/F78Yvxh/GD8Yfxi/GH8X/xj/G/8ePx9/ID8h/yQ/Jf8nvyo/LL8t/y5/MH8z/zc/OL85vzu/Pv9BP0H/Qj9DP0V/SD9J/0r/S79Nf1D/VP9YP1r/Xn9jv2j/bP9v/3M/dn95f3v/fn+A/4K/hD+Ff4b/h7+IP4i/iX+Kv4u/jP+N/46/jv+O/47/jr+OP42/jT+Mf4s/ib+If4c/hX+DP4E/gH9+/3s/df9xf26/bL9pv2X/Yr9fP1q/VT9Pv0t/R39DPz4/OP80vzG/ML8w/zD/L78tvyt/KX8ofyg/KH8o/yj/Kf8rvy0/LT8sPyv/LP8tfyx/Kv8pvyj/KL8p/yx/Lj8t/y0/Lj8wPzF/Mj8z/za/OP86fzy/QH9D/0X/R79Kv05/UP9S/1W/Wf9dv2C/Y79n/2x/cD9zf3c/fD+BP4U/iH+Lv4+/k7+Wf5g/m3+hP6f/rX+zP7u/xX/N/9S/3H/nP/OAAMAPgB9ALoA7gEjAWABogHiAh4CWAKJAq4CxQLIAq4CfwJoApgDHwPrBOoGDQdCCIIJ5guADRYOJw5sDicN3Q3DDbUNkg2CDb0OSg8ID88QfxD4ETQRShFGEQgQbw+RDqsN4g09DMQMfwxPC/sLfAsiCz0LugwwDFMMKQvoC7ILjwuAC4ALegtdCy0LAgrcCqEKOgmvCSYIuwhoCBgHyAeHB18HRQcoBwEG2QauBncGLAXWBXoFGgTCBJAEkgSsBKsEfAQ7A/oDnALxAfkA8QAW/3n/Cf65/oP+Xf4w/fL9qv1d/Qv8wPya/KT8yfzk/O386/zY/KP8Tfv6+8b7p/uL+3v7iPuo+7r7rPuH+0/69fpz+eP5aPkS+Ob48flD+cb6Svqm+tf69fsS+yf7JfsE+s76mvp5+mT6S/or+hv6NvqD+u37TvuD+4f7fvuT+8/8B/wR++/7zfvH+9X72/vS+8P7sfua+3f7Svsc+vv68fsD+yH7PftQ+2P7f/uj+8v77/wJ/CH8Qfxu/Jr8s/y6/L/8yvzV/Nj81/zb/OL84vzb/NT80vzR/M78z/zV/N/86fz2/Qf9Ff0e/ST9L/0+/Ur9U/1b/WX9cf2C/Zr9t/3T/ez+CP4p/kj+Yv56/pj+vP7j/wz/Nv9h/4v/t//mABQAPgBkAI0AuQDlARABOQFjAYkBrAHNAfACFAI3AlcCeAKbAsYC9wMpA1IDbwOCA5ADmQOdA54DowOqA7EDugPDA80D1APaA+QD8gQBBAkEDwQXBCMELgQ0BD0ETgRoBIIEmQSvBMQE1ATbBOUFAgUxBVsFZgVQBSwFEgUMBRgFLwVEBUwFRAUzBSAFDgT9BOwE3gTWBNME0ATLBMQEvgS9BNAEygTABLkEuAS7BL0EvgTBBMQExATBBMIExgTLBM8E1QTeBOQE6ATrBPQFAQUPBR4FKwU6BUoFXQVxBYEFjgWbBasFvAXOBeEF9QYIBhwGMwZMBmMGeQaZBsEG6AcMB0MHpgghCHoIgghLCBIIBwgrCF8IiQikCLUIuwiqCHUIHwe/B2oHJwbvBrsGhQZPBhgF4gWuBXoFRgUTBOAErQR+BFEEFwO1AykCmgI5AhMCCgH9AegBzwGzAZIBcgFVATIBBADcAM4A0gDLAK4AhwBgADH/8v+v/3b/R/8V/tr+n/5z/ln+Sf47/iv+Fv3s/Zv9G/yJ/An7qftV+wv67fsZ+3H7sPu3+6z7tfu4+3H6xvny+VL5IflP+Zf5tPmN+T749vjG+Jf4U/gH99f33vgP+D/4Tvg7+B34B/f098f3avbt9of2ZfaD9qn2pPZv9iv19vXP9a/1lvWI9Xz1bPVh9XL1ovXa9f72AvXo9cT1svXD9ef1/fYH9jT2tPd5+EP42/k0+V75bflz+XT5Wfj++F/3qvca9sP2lfZ79mj2VPY19hD18/Xh9c/1ufWt9bL1wPXG9cH1ufW09bH1rPWi9ZD1e/Vn9VL1NvUS9PD01/S99Jr0bfQ58/TznfNf83z0BfSq9Pf0v/Q988vzjfNq80HzDfLb8rPykPJr8kXyIvIG8fHx3PHE8anxivFm8T/xGfDv8L3wgvBH8BPv4u+r72rvKO7q7qvuZ+4k7eftr+107TTs8uyu7GXsF+vJ64DrP+sG6tDqnepr6jvqC+nb6arpeulO6SfpAejZ6LHoiOhf6DboFegB5/Xn6+fi593n2+fZ59TnzufH57rnquea54nncudV5zrnKech5x/nIucs5zvnSOdK5zjnDObQ5pfmcuZf5lnmYOZ15pLmq+a95s/m4+b25wrnJOdR553oDeiK6ODo3uiK6CnoA+gu6Ibo2ekG6QPo5ujg6Rfph+n76kHqUOpP6nDqw+sk61jrUutO65XsLOzU7WHt5e507u3vJO8k7yrvVu+P77nv3/AS8EPwX/B18KXw7fEq8U7xcPGu8g7yh/MW87P0RPSw9QD1T/We9dP12/XT9eb2H/Zc9oT2qvb292v34/g5+HT4t/kT+Xn50foW+lP6lPrn+1b74/x5/Pb9Pf1L/Tn9Kv01/Vb9fv2n/dr+IP55/tz/RP+n//YAKgBWAJIA3wEkAUsBYAGAAbcB/QJGApIC3QMdA0wDdAOgA9UEDQRDBH4ExQUVBW0FzwZKBuAHhAgXCIYIzwj/CSIJSAmKCfUKfwsFC2gLqAvVDAYMRAyTDOwNPg15DZcNpg23DdQN+g4fDj4OVw5wDpUOyA8EDzwPag+dD/AQZhDSEPkQ1BCnEMIRKRGbEeMSDhJKEqcTCxNZE44TuRPtFC8UeRS1FNIU1RTSFNMU2BTiFP4VMhVnFYoVmxWxFdIV9BYLFhkWJRYvFjIWLBYjFiAWLhZOFnkWoRbCFuIXBhc1F3AXuBgAGD0YbBicGNoZJBlzGbsZ7BnsGa8ZTBjyGMUYzBjyGRsZMRk1GTkZThlnGWUZPhkLGOsY4RjcGNYY1RjaGN0Y2BjVGNgY3hjkGOkY8Rj5GP0Y/xkAGP0Y9BjtGO4Y9Rj8GQEZDxkvGV0Zjhm8GesaHBpHGl0aXRpLGisZ+xm8GX0ZUhlAGUUZWBlqGWUZQBkSGQQZHhk/GUUZNRkoGSUZIBkZGRUZCBjiGLIYkxiGGHcYahiAGLUYzhipGGEX+BcRFWwTlRK4E3UVOhbdF8gYNxiMGMkYzhiwGKMYsBi4GKoYlhiEGG0YSxgoGAoX6RfDF58XgRdgFzMW/hbQFq8WkhZpFjAV7xW7FZsVhBVhFS0U9hTJFKMUfBRQFCET9BPLE6QTexNJExIS2BKSEi4RuBFiEVIRfhGtEbURlxFpETkRBRDAEFsP2g9nDzIPPQ9FDwQOfw4BDckN0g3pDeMNrw1GDLEMIQvcDAMMagzHDPIM7gy5DD0LewqtCiYKAQoNCgkJ3wmbCUkI6wiICDcIAQfYB6IHXAcWBt0GsQaLBmUGPgYSBeEFswWNBXEFVwU5BR4FGAUvBVAFVgU1BQME5ATbBNIEtwSSBG8ETgQlA/MDwgOaA34DagNZA0YDLwMYAwQC8gLfAswCvQKyAqICkQKJAooChQJuAkoCKQIRAfoB4wHLAbEBlQF/AXYBcQFhAUkBPAE3AR0A4QCoAJoArQCtAIMATwAzACUADP/s/9b/xP+d/2T/Of8u/zD/Iv8I/vX+7f7k/tf+0P7N/sP+rf6Y/o3+g/5q/kD+Fv33/eT92P3P/cn9xf3D/cD9tf2h/Yj9dv1y/Xb9eP1w/WD9Tv0+/S79Gf0C/O383fzN/L38rPyd/JD8g/x4/G78Y/xX/E38SPxJ/En8SPxM/FL8V/xZ/Fr8XPxb/Ff8VPxW/Fv8XPxa/Ff8VvxV/Fb8Wfxc/F38WvxZ/F38YPxh/GH8Zfxp/Gn8afxu/Hj8gfyG/In8jvyT/Jj8oPyr/Lf8vvzD/M382vzm/O789Pz+/Qr9FP0a/R/9J/0w/Tv9Rf1N/VT9W/1m/XL9f/2L/Zn9qv28/cz92P3k/fD9/v4K/hX+Hf4k/iv+Mv42/jj+OP47/j/+RP5H/kr+Tv5Q/k/+Tf5L/kr+SP5G/kT+Qv48/jX+Mf4u/in+H/4V/hH+Df4C/fD94P3W/c39wP2v/aH9k/2C/W79W/1M/Tz9J/0P/Pj85fzZ/Nf82vzd/Nj80PzI/ML8vfy7/Lv8vfzA/MP8yvzQ/ND8zPzM/M/8z/zL/Mf8xfzC/L38vPzB/Mn8y/zJ/Mz80/za/N785fzu/Pb8+v0C/RH9Iv0u/TX9QP1O/Vv9Z/10/YL9jf2W/aL9s/3F/dL93f3q/fv+D/4g/in+L/45/kj+Vf5f/m3+hf6f/rT+yP7n/xH/Ov9b/3//rP/fABEARAB7ALIA6AEfAV4BowHpAi0CbgKmAtEC8wMJAwgC6wLFAsAC/wOWBIQFqAbOB+IJFwqnDHAN5g6JDmAN6Q2YDY8NuA3+Dl8O5A+TEFoRBRFqEZoRzhIgEl4SRhHFEO4P2w6uDakM/wyVDCMLlws4C0wLuAwZDCwL+wu0C3gLWwtmC4oLpAuXC28LSAskCucKdgniCVEI4QiHCC4H1QeOB2MHRgclBwAG3Aa3BoIGPAXyBaoFXgUPBM0EoQSBBF0ENwQcA/4DqgL9AgsBDwA6/5f/H/7L/pX+bv5I/hn93f2N/S/83/y8/Mn85Pzv/On83vzH/JL8Q/v/+9/71vvM+8H7xfvX++H70fup+2v7DfqP+gb5j/k4+Qj5DflU+c/6UPqw+uf7B/si+zb7OPsj+vz60vqu+pP6gfp5+nf6fPqT+s37Ivtq+4T7hPub+9n8Ffwi/Av7+/wF/Az7+vvX+737rfuW+277O/sP+vX69PsI+yT7OvtL+2H7g/uq+8/77/wK/Cf8TPx3/Jz8sPy1/Lz8y/zb/OP86Pzu/PP88/zx/PT8+fz5/PX89Pz6/QH9Bv0N/Rn9I/0p/S/9PP1N/Vn9Yf1o/XD9ev2I/Z/9u/3V/ez+Bf4k/kT+Yf59/p3+wP7l/w3/N/9i/4z/tf/iABAAOQBfAIcAswDeAQcBLgFWAXwBngG/AeACBAInAkcCaAKNAroC6gMWAzkDUwNqA34DjAOTA5UDmQOgA6cDsAO9A8sD1wPhA+wD+QQEBAsEEQQcBCsENwQ9BEQEVARuBIwEpwS/BNUE5ATqBPAE/gUVBSYFJQUXBQwFDAUXBSUFNQVEBUwFQwUpBQoE8wTqBOkE6wTqBOYE4QTcBNcE1ATSBOIE2QTSBM8E0wTYBNcE0gTPBNEE0wTTBNIE1gTdBOUE6wTwBPME9gT7BQQFDwUaBSgFOAVJBVoFbAV+BY4FmwWmBbIFwQXPBd0F6QX4BgwGJQZBBl4GfwaoBtQG+AcaB1QHtwgoCG0IZwgwCAYIEQhMCI0ItAi8CLkItwimCHEIFweyB18HJAb1BsUGkgZfBioF9AW/BY0FXAUrBPcEwwSWBG4EOAPaA1UCzgJuAj8CKQIXAgkB/gHsAc8BrgGKAV8BKwEBAPEA7wDeALkAjgBrAEYAF//l/7b/h/9P/xL+3v60/ov+X/46/iT+Ev3h/XP80vwu+7j7d/tQ+zL7LftT+477svuz+637wPvY+7z7QvqF+df5ifmg+dT51PmN+TL4+Pjh+ML4g/gz9/33/Pgo+Ff4YfhB+BX39/fg97H3W/b19qn2jvag9sT23PbO9pr2WPYh9f/16PXN9a31k/WN9Zf1ofWf9Zv1pvXA9dv18fYH9h/2MvZI9on3Fffa+J/5NfmO+bL5tfmw+bL5pfle+Mz4GPeA9yD26PbA9qL2i/Zz9lX2PPYs9h72DPX69fP19/X69ff17fXj9d312fXX9dL1yfW89ar1kfVy9VL1MfUN9OH0sfR19CXz0vO09AP0rfVL9Xn1KvSm9Dbz7vO584jzWfMx8wzy5PK78pTyd/Jh8k7yN/IZ8frx3fG/8Z/xfPFW8Snw8fC28HzwRfAK78rviu9K7wbuwO6A7kjuFO3c7Z3tWu0T7Mbsd+wq6+HroOtk6zDrAOrR6qPqdepG6hTp4+m56ZTpbelC6Rno8+jQ6Kzojeh56G3oYuhX6E/oSOhB6DnoMOgk6BDn+efn59jnxOep55Dnged553XndOd754fnjeeF52vnQOcI5s3moOaM5pDmpOa95tXm6+cE5ybnTudz547no+fC6ADoY+jO6Qjo6uiO6DroKOhY6Kro9Oka6RDo7Ojh6Rrpiun56jjqSupU6oDq2Os462nrW+tK63/sCOyr7TTtpu4X7nburu7P7wfvXe+m78jv1u/u8AvwHfAx8GLwsPD48SnxVPGO8d3yQvLG82Lz9PRd9KX06vUy9WL1ZvVa9Wz1p/Xp9hP2NvZ29uH3VPex9/r4TPiu+Q35WfmZ+df6GPpi+sv7YPwL/JX80vzJ/Kn8nvy2/OL9Dv05/W39sv4F/mL+xf8r/4f/0AARAFUAmADHANsA6gEPAVABmgHgAiICYwKjAtoDCgM6A24DpgPhBCAEZgS1BQ8FdwXwBn0HFgemCBgIYwiPCK4I2AknCaMKOQrBCx8LVguAC7EL8gxDDJwM7Q0pDUwNZA1+DZ8Nxg3vDhYOOg5dDoYOug7wDxsPNA9SD5gQDxCHELwQnxBuEH0Q2xFIEYoRqhHaEjMSmxLvEycTVBOIE8sUFBRRFHMUfBR8FH0UgRSLFKcU1hUHFSwVRxVqFZcVvRXOFdIV1RXaFdkV0RXIFcsV4RYIFjMWWRZ7Fp4Wxhb1Fy4Xcxe+GAQYPxhzGKkY5hktGX0ZyBnwGd8ZnBlIGQcY7hj2GQsZFhkTGRcZNBlaGWkZTxkdGO4YyxivGJoYjxiNGIwYihiMGJQYnhinGK4YtRi7GMAYyRjUGNoY2RjYGNoY3BjdGOEY8BkLGS4ZUBl2GaIZ1hoHGiMaIhoIGeAZrBltGTEZERkcGUUZaxlyGVUZKhkTGR8ZOxlHGTwZLhkuGSwZHRkRGRUZFhjzGLsYmRiWGI8YeBhwGIkYmxiLGG8YQBeNFfQT7RKtEwsUqRZ0F7gYdxjpGRMY9hjKGMMY2RjeGMwYvRi3GKIYehhVGEAYKxgEF9YXrxeOF2cXOhcPFugWvhaLFlMWHxX4FdwVvxWVFV8VKBT+FNsUtRSHFFcUKxQHE+cTwhOUE2QTNxMBErQSWhIcEhMSJxIoEgUR1RGpEX0RShEUEN8QoxBhEC4QDQ/RD0wOkA31Db4N1g3xDd0Nlw0oDJwMGgvlDBsMjAzpDRgNMA02DPkMVgt+CtgKnQqoCrMKlQpPCecJYAjOCFQIBgfSB5oHVQcQBtkGrgaJBmQGPwYZBfAFxwWjBYYFaAVEBR4FCgUTBSYFJgUIBOMEzgTEBK0EgwRYBD0EKgQNA+MDuQOXA3wDZANOAzkDIgMLAvcC6QLaAswCvwKwApsChgJ9AoECgQJuAk4CMQIZAgMB7gHaAcIBpAGLAYABewFrAVMBRQFAASYA6wC4ALgA3wDyANcArACNAGwAMf/p/7r/pv+O/2X/Pv8w/y//Jf8R/v/+8/7k/tT+y/7J/sD+qv6T/oD+bf5N/iP9/v3m/dj9z/3I/cb9x/3F/bz9qv2Q/XX9YP1W/VX9Vv1R/UX9OP0t/R/9Cfzu/NX8wvyz/Kf8m/yP/IP8dvxs/GX8W/xN/EL8P/w//D78Pfw//EX8SPxI/Er8TvxQ/E/8TvxR/FX8VPxS/FH8UfxR/FP8WPxe/GD8Xfxa/Fv8Xfxd/F/8ZPxr/G/8c/x5/IL8i/yQ/JT8l/yY/Jz8pPyw/Lz8xvzO/Nf84vzs/PT8/f0G/Q/9GP0i/S39OP1C/U39Wv1o/XT9f/2J/ZT9oP2t/br9xv3U/eP98v3+/gr+Fv4i/i3+Nf49/kX+TP5R/lH+Uv5V/lr+Xv5g/mL+Y/5j/mH+X/5d/lv+WP5W/lT+Uf5L/kX+Qf5A/jz+Mv4m/iD+Hf4W/gn9/P3y/ef92P3G/bf9qP2V/YH9cP1j/VT9P/0m/Q/8/vzz/PH89Pz2/PL86fzj/N/83PzZ/Nr83vzi/OX85/zp/Of85fzm/Oj85/zg/N383vzd/Nf80vzW/N784/zh/OL85/zu/PP8+f0A/Qb9Cv0R/SD9Mv0//Un9VP1g/W79ff2L/Zj9oP2m/bH9wP3R/eD96/31/gL+Ev4i/i3+M/48/kn+Vv5h/m7+hf6f/rX+yf7l/w3/N/9e/4f/uf/tAB0ASwB7AK4A4wEbAVsBoAHnAi4CdgK3AuoDEgMzA0kDSAMtAwgDBQNTBBIFKwZbB3YInAoRC9YNfQ5+DqkOSg3hDcgOCQ5zDtUPNA+1EGERAxFhEY4R0BJQEuETOxMuEqIRkRAjDrgNqQz6DHML/gu8C8ML7Qv9C+ALsAuFC2ULVgtlC4gLnguQC2oLQwsbCtgKaAnbCVYI7giaCEMH5webB2sHTwczBxIG8QbIBo4GRgYABcMFhgVDBP0EuARwBDAEDQQKA/gDmQLaAekBBABK/7f/Rf7x/rT+gP5Q/iT98/2u/Vj9Dfzp/Oz8+Pzz/N78w/yh/G78NPwO/Aj8EvwU/Ar8A/wF/AT78vvK+4j7KPqr+ir5vflv+UT5Qvly+dH6Qvqg+t37APsX+yf7K/sg+wv67/rQ+rX6q/q3+sT6vvqt+rf67vs0+1z7avuH+8D79fwI/Av8IvxD/EP8E/vU+6z7mft++1L7JPsD+vX69/sI+yD7OPtO+2r7jPuu+8z76fwL/DL8XPyC/J/8sPy7/Mf82Pzo/PT8/v0G/Qj9Bf0F/Q79GP0a/Rf9F/0e/SP9I/0l/Sz9Mv02/Tv9SP1X/WH9Z/1v/Xv9iP2W/ar9xP3e/fX+Df4q/kf+Zf6D/qX+yf7s/xL/O/9l/4z/s//cAAcAMABWAH4AqgDUAPoBHwFGAW0BkgGzAdQB9gIYAjkCWwKBAq0C2QL/Ax4DOgNVA24DfgOFA4wDlAOcA6IDqQO1A8YD1gPkA/AD+wQCBAYEDgQeBDAEPwRJBFQEZQR8BJYEsATIBNwE6gTyBPkFBQUSBRgFFgURBRYFJAUwBTIFMAUxBTMFLQUbBQUE9wT3BP4FAwUBBPoE8wTvBO0E6wTnBPQE7wTrBOwE7wTxBO0E5gTgBOEE5ATlBOYE6QTxBPoE/gUABQEFBgUNBRQFGQUhBS4FQQVUBWYFeQWMBZ0FqgW0Bb4FyQXTBdgF3AXlBfgGFAY1BloGiQa8BucHBwcqB2kHyQgpCFwIVAgsCBQIKwhsCLII2AjWCMIIsgieCG0IGAe4B2sHNAcEBtEGnAZrBjoGBgXRBZ8FcAVBBQ4E2QSrBIUEVAQDA5EDGgK9AoICWwI/AjICLAIfAgIB3AG1AYcBVQEvAR4BEADvALwAjQBuAFcAPQAe//j/xP+C/0H/EP7n/rL+b/41/hT9+f26/Tz8mPwF+6/7kvuL+4T7gPuF+4v7h/t7+3z7m/vS+/b7zvtF+pD6Dfns+gH59vmv+Vb5HPj/+Nv4nvhU+Bz4D/gr+FL4Wfg0+AH34PfJ96H3Yvcj9vD2wfaf9qT21PcE9v72wfZ69lH2O/Yd9fD1x/Wx9av1pfWd9Z71sfXR9fH2DPYl9j72WvaG9t73bvgh+ND5XvnB+ev53/m++bP5vPmg+S/4gPfd93L3MvcB9tb2ufan9pX2gfZx9mX2VPZA9jP2M/Y49jj2MfYm9h72HPYe9h/2G/YO9fr14/XJ9an1fvVK9Rf05/Sp9FP0C/QY9KD1ZPXr9en1fPT49JL0SfQP893ztfOP82TzNvMM8unyz/K78qnykPJx8lLyO/Im8gzx7fHJ8Z3xZvEl8OLwo/Bo8C/v9u+373HvKu7q7rPufu5E7gTtwO127Sjs2+yR7EnsA+vF65LrZes36wvq4Oq06oTqVOor6gbp3umx6YfpZelG6SfpCuj16Obo2OjK6L7os+im6JnojOh86GPoSOg26CvoG+gD5+zn3ufW58znxefF58vnyOe255jncedA5wjm2ubI5tfm++ch50DnW+eA57Ln6ugX6C7oMug96GvowukZ6TTo+uiU6EvoROh26MLpDOk16Sno/ujs6SLpjeny6ivqQupd6pfq8OtK63frbutf64/sDuyo7Sbtf+3F7gDuNu5+7u7va+++79PvzO/N79fv3+/08C7wgvDP8QXxM/Fr8bDyCPJ/8xHzn/QG9Ev0hvTE9PD0//UB9Rf1R/V69Z31v/X/9l/2yvcr94r38/hd+LL49Pk1+YH5yfoJ+l365fuO/Bn8U/xE/CL8H/xB/HP8ofzM/QD9Rf2V/er+Rv6r/xb/ef/NAA8APwBZAGUAeQCmAOwBOgF/AbsB9AItAmcCnQLPAwMDPwOBA8cEDwReBLoFJAWZBhgGnwciB5AH3wgSCDsIdQjYCWYKBAqHCtwLEAs+C3cLuwwHDFcMowzfDQgNJw1JDXANmQ3HDfYOIw5NDnwOtg70DyEPLw80D1sPthAhEFwQUBAvEEIQmBD9EToRUxF4EcMSIBJuEqUS1hMPE1QTnhPcFAIUERQVFBwUKBQ6FFYUfxSrFNIU+BUmFVkVfhWIFX4VdBVyFXMVchVxFXsVkxW4FeMWDxY3Fl4WhRazFu4XNheEF84YDhhHGHkYqxjlGTIZiRnPGewZ2xmrGXIZQRkgGQ4ZARj4GP0ZGBk+GVQZTRkvGQcY2xiuGIYYahhXGEoYRBhGGE0YVRhdGGkYdRh9GIQYjhiZGKIYqhi2GMIYxxjEGMYY0xjoGP0ZFhk5GWgZmRnBGdMZxhmiGXQZRxkdGPsY9RkXGU8ZchliGS8ZBxkJGSwZSBlGGTMZLRkxGSEY9BjUGNsY7hjaGKQYfBhzGGUYORgMF/4YAhgGGBwYLBe6FlUUYBMBExkUdRYsF5AYgxkVGT0ZERjgGOQZAhkEGOoY3BjeGNEYqRiCGHIYZRhCGA0X3Be0F44XZBc9FxYW7Ba+Fo8WYhY2FgsV4hW5FY8VZRU/FRgU6hS2FIMUWhQ6FB4T+hPOE6ITfRNYEyES3BKkEooSehJZEicR/RHjEcQRkhFgEUERKxEGENYQoRBPD7sO8w5GDfYN9A34DdQNiQ0gDJ8MIAveC/kMTAyTDLkM2gz+DPoMowwWC6YLfwuKC5MLeAsvCq8J+gk0CJAIJQffB5sHUAcIBtAGpgaCBmAGPgYcBfcF0QWtBY0FbQVHBR4FAQT7BQIE/wTqBNIExgS4BJQEXQQwBBwEEAP3A9IDrgOSA3kDXwNHAzADFwMAAvAC5wLeAtICxQK0Ap4CiAJ9AnwCeAJmAk8COwIoAhIB/AHsAdoBvwGkAZUBjQF7AWABTgFEASgA8QDGANEBAAEaAQkA6wDYALYAaQAG/8L/rf+o/5L/cf9W/0b/N/8m/xf/Bf7w/tz+1P7R/sb+rv6R/nX+V/40/hP9/v3z/ej92v3Q/c790f3N/bz9o/2I/W39Vv1F/Tz9Ov02/Sv9Hv0R/QL87vzV/L78rPyd/JD8hPx6/G78ZPxe/Fr8UvxE/Dn8N/w5/Dr8Ofw7/D78P/w+/D/8RPxI/En8SvxN/E/8TPxK/Ez8T/xQ/FH8V/xe/GH8Xvxc/Fz8Xfxd/F/8Zfxs/HP8e/yC/Ir8kvyY/J78oPyg/KP8rPy4/MT8zvzY/OH86fzy/Pz9Bv0M/RD9GP0l/TP9P/1J/VX9ZP12/Yj9l/2k/bD9vv3M/dn94v3t/f3+Df4b/iX+Lv45/kT+TP5T/lr+Yv5n/mn+av5t/nH+df54/nn+eP51/nP+cf5w/m/+bf5q/mf+Y/5e/lj+Vf5T/k/+Rv46/jL+Lf4n/hz+EP4E/fj96v3b/c39vP2m/ZD9gP12/Wn9Vf09/Sr9Hf0V/RH9Ef0O/Qj9Afz+/P78/fz6/Pr8//0F/Qj9CP0G/QL9AP0A/QL8//z4/PT89vz3/PP87vzw/Pj8/fz7/Pr8/f0D/Qf9C/0P/RT9Gf0i/S/9Pv1M/Vj9ZP1w/X39jP2b/af9r/21/b79y/3a/en99/4A/gf+EP4f/i7+Of5D/lD+Xf5p/nb+iv6j/rz+1f7y/xb/Pf9h/4r/u//wACIAUAB/ALEA5gEfAV4BogHnAi4CeAK/AvsDKQNTA3kDkwORA20DPwNAA6sEjgW9BvsINgmOCxoMsw4BDrYOzA6ODmEOfg7ODxsPXQ+/EFYQ8RFTEYERuxIrErkTMBNmEzISdRFAD+UOtw3UDSwMvAyFDGUMKgvGC2gLPgtDC1QLXgtqC3cLeAtiCz4LFgrmCp0KMgmxCTUI1AiKCEEH8gerB3kHWQc/ByUHCgbkBqgGXAYSBdMFlgVXBRUEzAR3BCgEAAP5A9YDVwKDAZkA1wBD/8v/Zv8W/tT+lf5c/jH+DP3X/Y39Rf0Z/Qv9CPz9/OP8vvyQ/GL8QPw3/Ef8W/xh/Fb8RPw0/CP8B/vY+5P7M/q/+kz57vms+YT5dfmI+cb6I/qC+sr68/sG+wz7Cfr++u/64PrP+sP6x/rf+vT66/rI+rT6zvsE+zP7VfuB+7v76Pv9/BX8R/xz/Gb8GfvB+4z7cvtU+yn7Bvr3+vX6+fsH+yH7QPte+337nPu4+9D77vwW/ET8b/yQ/Kv8wPzR/OD87fz6/Qj9F/0h/SD9GP0V/Rv9I/0m/Sb9LP00/Tj9NP0z/Tf9PP0//UX9Uf1e/Wb9bP13/Yj9l/2m/bj9zv3n/f/+GP40/k7+af6H/qn+zP7u/xP/O/9k/4n/rf/U//0AJQBMAHUAoQDJAO4BEQE4AWEBhwGpAcoB6wIMAisCTAJyAp0CxwLqAwkDKANIA2MDcwN+A4sDmwOlA6gDqQOxA78D0APiA/ED+wQABAUEEAQkBDkETARdBGwEewSKBJsEsATGBNgE4wTsBPcFCAUXBR8FHwUfBScFMQUzBSoFHQUXBRgFFwURBQoFCAUNBRQFFwUSBQoFBAUDBQMFAAT7BQcFBQUEBQQFAwUCBQAE+wT3BPYE+AT6BPwFAAUHBQ0FEAUQBRIFFwUcBR8FIgUoBTYFSQVeBXIFhgWaBasFtwW+BccF0AXVBdQF0QXYBe4GDwY1BmIGmAbPBvgHFAc8B4IH2wgnCE0IUghMCE8IaQidCNkI/Qj2CNYItgiXCGUIFQe8B3QHPgcNBtgGpQZ3BksGGgXmBbIFggVUBSQE8gTEBJoEbAQoA8sDZgMRAtACnAJ2AmECWAJHAiYB/AHTAasBhAFlAVABNAECAMQAkgB4AGwAYgBRADH/+v+0/3P/Qv8S/s7+ef4s/fj9yf16/QD8evwY++776/vv++n71vu0+4j7YPtN+1f7gPvK/CH8SPwA+1X6pfpF+jH6Ifnq+Z/5Yfkw+Pz4vvh++En4MPg7+Fj4Xfg4+AT34ffJ96X3fvdk90T2+PaV9mz2rvcd9073HvbI9o32c/ZY9i/2A/Xh9cr1wfXI9dz18PX89gT2F/Y49mH2j/bN9yv3qPg2+Mb5VvnS+hD5+Pm3+Z35wPnX+Yr43vgq97T3dPdC9w325vbV9sv2u/ar9p/2kvaC9nb2d/aA9oX2gPZ49nP2c/Zz9nH2a/Zb9kP2KvYR9fH1vvV/9Uf1GPTZ9IH0SPSE9UL2GfaC9k71w/U89N70mvRk9Dv0GPPs87fzh/Nk80rzMfMb8wjy8vLV8rnypfKV8n7yYPI88hDx1/GS8UnxBvDN8JrwZfAp7+Pvne9d7yPu6O6p7mjuI+3a7Y3tQ+z87LLsaOwm6/LrxuuZ623rRese6vLqxOqc6njqUOoj6fvp2um96Z/phOlu6VvpSOk46SvpHukK6Pbo5ejT6LjonOiK6H/oceha6EboO+gz6CXoFegN6Ann/efk58Xnped950znIecR5yfnV+eM57zn5+ga6FnomejG6NDovuix6NHpHull6WTpEOie6FfoVOiE6M/pHelP6UnpG+kG6TnpoOn96i/qSepw6rTrDOtb64Lrfut466zsKOzA7Tjtfu2g7brt6u5N7t/vau+378Dvsu+s76/vte/S8Bbwa/Cx8ODxDvFJ8Y3x2vI/8r/zQfOm8+z0JPRZ9IX0oPSz9Mr06PUG9SH1TPWT9fL2V/a89yz3pfgP+Fj4j/jY+Tf5jfnK+g76f/sV+5H7w/u3+577o/vI+/r8KPxR/IP8yf0g/Xv92P4//rX/K/+N/83/7wABABEAJwBOAIcAzAERAVABhgG6AfACJgJZAo0CyQMOA1gDogPuBEgEsgUoBaUGJgajBxIHawexB/EIQQi2CU4J6QpgCqoK3QsXC1wLoQvlDCsMcgyuDNcM9w0YDUANbw2lDd4OEQ46DmgOqA70Dy0PPA8wDzIPYA+qD+EP7g/sEAwQXBCyEOUQ+REWEVERnBHeEhYSTxKREtkTHhNZE4ETlROhE7ITzBPpFAYUKhRUFIEUshToFRwVPxVDFTAVHRUVFRgVHRUjFS4VQhViFY0VwRXyFhkWPRZtFrEXABdKF4kXwxgBGDsYbhiiGOYZOhmLGcMZ3BnbGcIZlRlbGSQY+BjfGN0Y8hkSGSsZNhkyGSAZARjZGK4YhxhkGEcYNxgyGC4YJxglGC0YOxhHGFIYXhhqGHQYgRiVGKcYrBimGKUYrxi7GMYY2xkDGTcZYxl6GXcZXBkxGQYY6hjeGN8Y9xkpGV0ZaRk9GP8Y4xj+GS0ZQhkxGRcZERkLGOIYmRhkGGsYihiEGFIYJxgeGBMX5RepF4MXeheJF7kX6helFocU5xPAE88U4xY/F2MYRhjoGSoZExjyGQQZLBkwGRAY/BkAGPkY1hivGJsYihhnGDQYAxfZF64XghdbFzoXFxbyFssWoBZsFjYWBxXjFcMVnxV4FUsVGRTmFLcUkRRzFFcUNBQGE9YTrROJE14TJRLsEr8SmhJuEkISJRIVEfkRxhGREXIRXxFBERcQ7hC6EFEPrA8CDpMOag5ZDjMN6g19DOkMQwu/C4kLmgvIC/gMKQxWDGMMRwwhDBIMHAwiDBML6wufCxYKTAlzCMUIVAgBB6wHVAcHBswGoAZ7BlkGOQYXBfMFzAWkBX8FXgU9BRoE/gTyBPEE7ATaBMcEugSnBH0ERAQaBAgD/QPjA70DnAOEA24DVwNBAyoDEAL4AuoC5QLfAtMCxQK3AqUCkQKCAnoCcAJfAlACSAI9AiUCDAH8Ae8B2AG9AasBnwGJAWkBUQFBASQA8QDMANUA+gEHAPIA4ADjANsAogBIAAT/7//x/+L/u/+L/2T/Sv89/zP/Iv8L/vr+9P7v/t/+wf6e/nr+U/4u/hf+D/4K/fz95v3V/dL90/3M/bf9m/2B/Wn9T/02/Sb9H/0a/Q38+/zo/Nn8yPy4/Kj8mfyJ/Hj8aPxd/FT8TfxK/Ej8Qvw4/DH8Mfw0/Df8OPw5/Dr8Ofw4/Dv8QfxF/Ef8SPxK/En8RPxD/Ef8TfxQ/FD8VPxZ/F38Xvxf/GD8Yvxk/Gj8bfxy/Hj8gPyI/I78k/yb/KL8p/yo/K38t/zC/Mv81fzg/Or88vz8/Qn9FP0Y/Rn9IP0t/Tv9Rf1O/Vr9af18/Y/9ov2y/cH90v3l/fP9/f4H/hb+KP41/j7+Rf5O/ln+Yf5n/m7+c/54/nv+ff6A/oL+hv6K/oz+iv6H/oX+hP6E/oT+gv6B/n7+ev51/nD+a/5n/mL+Wf5P/kb+Pv41/in+G/4O/gP9+P3s/d79zP20/Z79kP2I/X/9bf1Y/Uf9Pf02/TD9Kv0i/Rj9Ev0U/Rn9G/0Y/Rf9Gv0g/SX9J/0m/SL9HP0a/Rv9Gf0U/Q/9EP0S/RD9DP0N/RL9FP0R/RD9E/0Y/Rv9HP0f/SP9Kf0y/T39Sf1V/WL9cP19/Yn9lv2k/bD9uf3C/cz91/3j/fH9//4J/g7+E/4h/jL+QP5K/lb+Zv52/oX+lv6t/sf+5f8H/yz/T/9w/5T/wf/zACQAVACGALsA8QErAWoBrgH0AjoCggLKAwwDRAN2A6UDzwPnA9sDqwN6A4cECwUKBlQHqQjtCi8Ljw0FDkoPBw8rDwIO7w8WD1sPqRATEKERKxGCEacRyBIEElESmxLREtcSixHrERYQKg85DloNtQ1NDOUMRAt+CusKxArqCyALQQtPC1ELQwspCwcK3wqqCmAJ/gmJCREIrQhmCC4H9ge7B4kHYgdDBy4HIAcIBtQGiAY4BewFowVbBRkE0wSABCsD8gPPA4oC7wIWAUYArAA8/9j/fv8z/vL+tf6A/lv+O/4L/cb9fv1K/TH9Kf0k/RL86/y3/In8dPx5/I38nvyh/JH8dvxW/DT8CPvN+4D7KPrL+nH6I/nm+bj5mfmU+bf6B/pq+r/67/r9+vn67frc+sz6wfq/+sb62fr2+wz7B/ro+tD62Pr9+yz7YPug+978AvwP/Cn8X/yH/Gj8Bfub+1v7Pfsg+v366frq+vT6/vsQ+y37Tvtv+437q/vH++D8APwr/Fr8gvyg/Lz82Pzv/Pz9Av0K/Rr9LP03/TT9Kf0h/SD9I/0l/Sr9NP09/T79Of02/Tn9Pv1C/Un9Vf1h/Wn9cv1//ZL9ov2x/cD91P3q/gH+HP45/lP+bf6J/qn+y/7t/xH/Of9h/4X/p//M//QAHABEAG4AmADAAOUBCQEuAVUBewGeAcAB4gIBAh0CPQJiAo0CtwLbAvoDHQNAA10DcAOAA5QDqAOzA7IDrgOxA70DzwPiA/QEAAQHBA4EHQQzBEkEXgRyBIMEjQSRBJkEqgS/BM8E1gTdBOsFAAUUBR8FIwUkBScFKAUiBRYFDgUNBRAFEAUOBQ0FEgUZBR8FIAUdBRgFFQUUBRUFEwUNBRkFGQUZBRcFEwUSBRMFFAURBQ4FDQUPBRMFFwUcBSAFIgUkBSYFKAUqBSsFLwU4BUYFWAVsBYEFlQWnBbMFugXABcgF0QXUBdAFzgXbBfoGIQZHBnIGpwbeBwYHJgdXB6QH9AgrCEcIYwiMCLYI1QjyCRIJJgkYCO0IvwiTCFsIDQe3B3EHPAcNBtwGrAaCBlkGLQX8BckFlgVoBTwFDwThBLUEhgRJA/kDpANZAxsC5gK4ApkChAJrAkQCFgHuAc8BtAGbAYABWQEiAOQAswCYAIwAhgB6AF0AKv/q/7D/ff9E/vX+lf45/e39ov1C/NL8cPw8/Db8P/xA/DD8EPvb+5n7Z/tY+2j7i/vK/Cv8fvxv++T7KPqh+mj6Tfom+fD5ufl9+Tn49vi8+Iv4bPhs+ID4gPha+Cj4Bffo98P3p/em95L3L/aY9kr2k/cr94T3YPb/9rP2kPZ79mD2QfYd9fj14/Xq9gT2F/Ya9iD2PfZx9q326/cw94H32/g7+K/5Q/nb+jL6HPnK+aX51PoJ+dP5KPhn9+r3sPeC90j3F/cC9vr27vbh9tn20vbF9rn2uvbH9tH20fbM9sz2zPbJ9sL2uvap9oz2avZO9jD1/vW89YD1TfUH9K/0ivTu9dD2rfb59qT2C/WH9Sv05PSv9I70cPQ/9ATz1/PB86/zlfN882rzV/M98yLzEPMB8uryyvKl8nryQ/H+8bbxdPE58QPwzfCS8FDwDe/O74/vTe8K7sjuhu4/7fXtre1m7RnsyeyC7ErsHevw68brouuA61jrLesH6uXqv+qV6m7qTuox6hTp+enj6c3ptumj6Zbphulu6VTpP+kt6RTo+Ojk6Nfoxeit6JrokuiM6HvoZuhV6EboMugW5/nn3ee855Pnb+di53Tno+fh6CPoY+il6OzpLulY6VfpNOkY6S3pcump6ZLpJ+io6F/oYOiV6OPpNult6WnpPuks6WLpxuob6kXqXuqI6tDrJetp64frguuC677sQuze7Vbtju2V7Zjtxe407srvSe+E74jvge+F74zvme/B8AvwW/CR8LXw5PEm8W7xs/IF8m3y2/M784TzvvPy9B70QPRa9G/0gfST9LD05fU39Zf1+fZg9tP3Tfev9+z4Hfhp+NT5Nfl4+bn6HPqa+wH7LPsp+yD7LPtQ+4D7r/vX/AX8TPyv/Rv9gf3n/ln+1f8+/4L/qP/C/9n/7f//AB0AUQCXAN8BHAFOAYEBtwHsAh8CVgKaAuYDMQN5A8cEKgSkBS0FuAY5Bq4HGAd6B9kIQAi+CVAJ3QpFCoUKugr9C0oLjwvLDAsMUAyLDLIMygzkDQsNQQ2EDckOAQ4nDk4OjQ7dDx4PMw8gDwgPDA8vD1sPfQ+dD84QExBVEHwQkBCsEN0RGRFSEYoRzBIUEloSmRLREv0TGBMsE0gTbBOQE64TzxP7FDEUbBSnFNwVABUHFPYU4hTXFNUU2BTdFOUU9BUOFTgVbxWjFcgV6RYdFmwWwhcDFzAXYBelF/EYMhhpGKYY8xk+GXgZoBm7GcgZuRmIGUAY+RjGGLQYwhjgGP8ZFhkkGSgZIBkOGPIYzhilGH4YZhhYGEgYLxgYGA4YDRgSGB0YLxhCGFEYYRh0GIUYiBiCGIQYjRiUGJYYpRjPGQUZKxkzGSMZBBjhGMUYuhi/GNQY/Rk2GWQZXxkkGOQY0xj3GSQZLRkRGPEY3xjFGIgYNhgDGA0YLRgpGAAX5xf3GAoX9he/F4oXaRdhF3YXixdEFmEVOxSYFOcV0xa2F1cX6RiDGO8ZCRkEGR4ZTBlaGUAZJhkfGRcY+xjYGL4YpBh9GFAYJxgAF9EXohd7F10XPxcbFvUWyhaaFmkWQBYdFfgVzRWfFXMVSBUeFPYU0RSuFIoUYxQ2FAQT0xOoE34TTBMVEuMSvRKbEnoSWxJAEhwR6RG3EZYRfhFdETQRGBEEENMQZw/XD2APJA8RDvcOsQ4vDXMMkAuxCwcKsAq1CwALYgukC7ALpwu6C+8MFQwIC9ILlgtNCtAKGwleCNEIdQgjB8MHYQcRBtYGpgZ8BlYGMgYNBecFvwWTBWgFRgUtBRkFBQT2BOwE3gTIBLEEngSGBF0EKgQGA/cD6gPPA6wDjgN4A2QDTwM9AyoDEAL2AucC4gLaAswCwAK3AqkClgKEAngCawJdAlQCUwJLAjMCGAIIAf0B6QHNAboBrQGVAXIBUwE+ASAA8QDOAM0A2wDQAK8AnwC0AMwAvACLAGIAVwBXAEMAD//K/4v/Zf9W/0//P/8q/xr/E/8I/vD+0P6u/ov+Y/4+/ij+IP4X/gT96/3a/df91v3K/bH9lf1+/Wj9S/0q/RH9Bvz//O/81vy9/K38ofyX/I38gfxv/Fv8S/xD/D78Ofwz/DD8Lfwq/Cj8Kfws/C/8Mvw0/DT8Mfww/Db8PvxE/Eb8SPxJ/Eb8QPw+/ET8S/xP/E78T/xS/Ff8XPxg/GT8Zvxs/HP8efx7/H78hfyM/JH8lfyc/KX8q/yw/Lj8w/zN/NT83Pzn/PP8/v0J/Rn9Jf0q/Sv9Mv0//Ur9Uv1a/Wb9dP2D/ZT9p/25/cv93/30/gf+E/4e/iz+O/5I/lD+V/5g/mr+c/56/n/+gv6F/or+jv6R/pL+lf6Z/pz+mv6X/pf+mP6X/pb+lv6W/pX+kf6N/on+gv56/nL+a/5j/lr+UP5F/jj+Kf4b/g7+A/32/ef91P2//az9oP2b/ZX9hv10/WP9WP1R/Un9P/0y/SX9IP0m/S/9NP0z/TD9MP00/Tn9Pv1B/T39Nf0v/S/9Mf0w/S39LP0s/Sr9Kf0o/Sj9Jf0i/SL9Jv0q/Sv9Lf0v/TP9N/0//Uf9Uf1b/Wj9d/2F/ZL9nv2r/bf9wv3N/dr95f3u/fj+Bf4R/hf+Hv4r/jz+SP5P/ln+a/6B/pX+pv65/tL+8v8X/z7/Yv+E/6n/1AABAC4AWwCNAMYA/wE7AXoBwAIJAlAClQLaAyADZAOhA9MD/gQiBDMEIQPqA7kD1AR0BZAG4ggdCTUKZgvlDYUOxw9UD1EPNA9SD6oQIBCjESgRkRHHEdcR4hH1EgoSIhI9ElISVRJCEg8RmBDCD7AOtg3zDTUMSAtRCqoKfAqbCskK7QsHCxELBArqCsoKpApwCjAJ4QmACREIrAhkCDMIAwfQB54HcwdRBz4HOQcuBwQGvAZpBhUFvgVoBRwE1QSBBCQD0wOMAyYCgwG+ARYAoQBG/+v/lP9P/xj+5v66/pj+c/48/fb9tP2G/XD9bv10/Wv9Rv0M/Nv8xfzF/M380PzI/K/8iPxd/DH7+/ux+1z7DvrO+pL6UfoR+dv5t/mp+cH6Bfpl+r/68/sA+vf66frY+sX6tvq1+sT63/sA+xn7Ivsc+xX7Gvsw+1X7jvvU/Ar8GvwV/Cf8XvyH/GT79vt9+y/7CPrs+tP6yvrW+uv7Avsd+z77Xft3+5P7tPvW+/T8Fvw+/Gn8jPyp/Mj86Pz+/Qf9Cv0S/ST9N/1B/UD9N/0u/Sf9Jf0m/S39N/09/Tv9Nv00/Tf9O/0//Ub9Uv1d/Wb9cP1//ZH9ov2x/cP91v3p/f7+GP41/lL+bv6K/qn+yv7s/xD/N/9d/4H/ov/G/+wAFAA7AGMAiwCzANoBAAEkAUcBawGRAbcB2gH5AhUCMwJXAoICrALPAu4DEAM2A1cDcQOHA54DsgO6A7YDsQO2A8MD1QPpA/wECwQUBB4ELgRDBFkEbAR/BI0EkgSRBJUEpQS4BMUEygTSBOIE9wUKBRUFHAUhBSMFHwUXBREFFAUdBSIFHQUVBRQFGwUjBSgFKQUoBScFJAUjBSMFIgUdBSsFKwUsBSsFKAUoBSsFLQUpBSQFIQUjBScFLAUwBTQFOAU7BT0FPQU7BTwFQwVOBVsFaAV5BY0FoAWsBbIFtgW8BcQFzQXSBdIF1wXuBhUGPgZfBoIGswbrBxwHSQeJB90IJQhHCFgIhwjZCSgJTQlPCUkJPgkfCOwItgiFCEsH/weuB2oHNwcKBt4GswaLBmMGOgYPBd8FrQV+BVQFKgT+BNIEogRoBB4D0QOQA14DLwL+AtMCsgKPAmMCMgILAfIB3wHIAasBhgFZASgA+wDWAL0ArACbAH8AUwAf/+7/vf+B/zL+1v51/hT9q/03/Mb8cvxQ/Ff8Z/xo/Fb8NPwB+8f7nvuU+5r7ovu+/Aj8YPx0/BX7dfrv+qf6gvph+kD6HPnl+Zj5SvkL+Nr4uvi3+MT4vviU+GD4PPgb9/T33ffm99b3Zfa19lP2mPc896L3iPcr9tz2svaZ9ob2cvZQ9h317vXe9ev2A/Yf9kv2jvbe9yv3cve19/T4Kfhi+Lz5Sfns+lj6WPoN+dz5/Pot+gP5Y/ik+CP36fe994L3Tfcz9yr3IPcW9xX3E/cG9vb2+PcL9xz3Hvca9xv3G/cV9wv3A/by9tD2pfaD9mr2QvYE9cH1gfU09OP02PVa9kj3FPdH9un2XPXm9Yf1MfTz9NT0uvSL9FL0LfQe9A7z8vPW88XztPOZ83/zb/Nh80rzKfMG8t7yqvJr8ijx6PGo8WnxLPDx8LXwePA67/jvsO9p7yju6u6m7l3uE+3L7XztKOzb7J7sbexA7Bnr+eva67Pri+tp60vrKusD6t/qwuqm6onqb+pY6j/qJOoO6f/p7enS6bXpoOmN6XXpWelC6TLpHOkB6O7o5ujf6M7otOia6ILoZ+hL6DLoGOf659nnv+e157/n4ega6GTos+kA6Uvpjem46bfpk+ly6YDpueni6bnpPei16G7ofejD6RvpaemU6YvpZelb6ZHp7+o96mHqduqe6uXrNuty64breet968XsVez27WXthu137XLtpu4c7qjvD+817zrvQe9S72Dvc++m7/XwPPBk8IHwtPD/8UrxivHN8h/yevLO8xfzVvOM87fz2PPz9Af0GfQv9Fb0k/Tk9UH1n/YC9m/23vc493L3pffx+Fj4uPkB+Un5qPoV+mr6lvqm+rH6xPrk+xP7Rvtx+5z74PxL/Mb9Mv2M/en+VP66/wb/Ov9k/4j/nv+m/7P/3AAjAHIAtQDoARsBVQGOAcEB9AI2AogC2AMbA1wDswQuBMQFWgXgBlkG0wdUB9QIUAjQCVUJ0AopCmQKmwrhCy4LbguiC9sMHQxXDHwMkgyrDNYNFQ1kDbMN8Q4XDjoObw6zDusPAA7wDtIOvA69DtYPAg85D3cPsw/jEAEQGRA+EHIQqBDaEQ4RSxGOEc4SDRJKEn8SpRLAEt8TBxMtE00TcBOhE98UHxRdFJUUvhTPFMcUthSoFJ8UmhSZFKAUrRTEFOkVHBVNFXEVkhXLFiEWeRazFtQXABdOF6oX9hgwGG0YuBj/GTEZUBlwGZMZpxmSGVIY+RirGIUYjhizGN0Y/RkSGR8ZKBkqGSMZCxjlGL0YoxiWGIQYZhhAGB4YAxfwF+wX/RgXGCwYOxhKGFcYWxhcGGUYdBh8GHkYfxihGNEY8hj1GOMYzRi8GLMYsxi5GMoY7xknGVEZShkRGNYYyBjmGQcZChjxGM4YqBh1GDAX8BfXF+sYBxgHF/YYAxg8GHQYeBhEF/gXrRduFz8XDhaiFegVPBUzFe8W5xd1F5QXvRg4GMcZFRklGTUZWxl1GW4ZVRk/GSwZFBj8GOQYxRibGHIYThgnF/gXyBejF4cXaBdAFxUW7BbEFqAWfhZXFicV8hXDFZ0VehVUFS4VBRTXFKYUeRRQFCQT9hPKE6ATchM8EwwS6xLWEroSkhJlEjkSDRHlEckRsRGPEWEROxEpERUQ2hB2EBEP2w/RD8IPeg7pDh8NLQwcCwYKJQnHCgQKmAsTCzsLNwtNC4QLnQtvCxgKzAqJCicJmgkQCLMIdgguB80HbQchBucGswaEBloGMQYIBeAFuAWMBV0FOQUmBRsFDAT3BOMEzASxBJMEeARcBDcEDgPyA+UD2QPBA6UDjgN5A2IDTgNAAy8DFQL5AucC3QLSAsUCvgK6AqwCkwJ9AnICagJfAlcCVQJNAjoCJAIZAhAB+QHZAcEBsgGaAXcBVwFBASYA/QDZAMsAxACnAHsAZgB4AJYApACiAKUAsgC2AJ4AZAAV/8j/kv91/2T/Tv82/yT/Fv8C/uX+yP6x/pj+eP5U/jn+Jv4T/f797f3m/eb94f3Q/bb9mv2F/W/9UP0p/Qn8+Pzt/Nj8ufyb/Ij8f/x3/G38X/xN/Dv8Mfww/DH8LPwi/Br8Gfwb/B38Hvwe/CD8Jfwp/Cn8Jvwm/C38N/w+/EP8R/xI/EX8Pvw8/EH8SfxN/Ez8S/xN/FL8Wvxh/GT8Zvxu/Hj8gPyC/IT8i/yU/Jn8nPyj/Kv8s/y5/MP8z/zZ/N785vzy/P79CP0V/SX9NP07/T/9R/1U/V79Zv1v/Xv9h/2S/Z/9sf3D/dT96P3//hP+If4s/jn+Rv5R/lv+ZP5u/nj+gf6K/pD+kv6T/pj+n/6j/qP+pf6o/qr+qP6n/qj+qv6o/qb+pv6m/qX+ov6g/p3+l/6N/oT+fv52/mz+Y/5a/k/+P/4t/hz+DP38/e793/3P/b/9sv2s/af9nf2O/X39cP1m/V/9Vf1I/Tv9Nv08/Uf9Tv1P/Uv9Sf1H/Un9Tv1S/VD9R/0//T79Q/1H/Uf9Rf1E/UT9Q/1B/Tv9Nf0y/TT9N/04/Tn9PP1A/UP9Rf1I/U/9V/1h/Wz9e/2L/Zr9p/21/cH9zP3Y/eX98P34/gH+Df4Z/iP+LP45/kf+Uv5X/mD+cv6K/qL+t/7K/uD+/f8h/0f/bv+U/77/6wAWAD4AZgCXANEBDgFLAYkBzwIaAmUCqgLrAzIDfwPGA/0EIwRGBGkEegRgBCED8QQfBNMF7gchCEMJegr+DLIOIw7wDyoPOQ9zD+cQeBEKEYMRzRHmEegR7BH1Ef8SDhIfEiwSOBJYEoQScBHVEMQPmQ6NDYcMbgttCssKjgp/CnkKgwqiCrsKuAqeCoIKZApBChcJ5QmgCUcI7QilCGkIKwftB7sHlwd7B2cHXgdSByoG5QaUBkAF5gWIBTAE3gSBBBUDrANIAtICOQGYARcAvABoAA3/uf98/1D/Jv79/tP+nv5e/h797/3T/cX9x/3R/c39p/1r/TX9GP0L/QL89fze/LX8ffxI/Br75PuV+zz69vrM+qX6bPop+ff54Png+fj6Lfp9+s36/vsI+v768/rq+tr6w/q0+rv62fsB+yj7Sftk+3j7h/uT+6r70/wC/Bn8Cfvx/AT8TfyO/H/8FfuK+yD65PrD+q/6q/q6+tf6/Psl+0z7aPt9+5n7vvvm/Aj8JvxJ/G38jfyq/Mn85/z5/QD9Bv0U/Sj9Of1C/UT9Qv08/TP9LP0s/TL9N/03/TP9MP0w/TH9Mf00/Tv9RP1N/VX9YP1u/YD9kv2n/b790/3l/ff+D/4s/kr+Z/6E/qT+xP7m/wr/L/9T/3f/mf+8/+EACAAuAFMAeQChAMoA8gEXATgBXAGEAa4B1AH2AhQCMgJVAnwCowLEAuEDAQMmA0wDbQOKA6QDtQO6A7UDtAO8A8sD3gPxBAMEEgQdBCkEOQRLBF4EbgR+BIoEkASUBJsEqAS1BLwEwwTPBOAE8QT+BQcFEQUbBSEFHwUaBRsFJwU3BTwFMgUlBSMFLAU2BTkFOAU3BTUFMQUvBS8FLwUuBT4FPQU+BT4FPQU+BUEFQQU+BTkFNwU4BTsFPwVEBUkFTQVQBVMFUwVRBVEFWAViBWoFcwWABZIFoAWoBasFsAW4BcEFywXTBdsF6QYGBi4GUwZuBosGvgcCB0UHhgfWCDEIdgiMCJIIvwkdCXkJnQmJCV4JMAj9CMUIkwhmCDEH7wenB2kHNwcMBuIGugaSBmkGQwYdBfIFwgWTBWoFQwUYBOwEvgSGBD8D9wO9A5QDbAM7AwkC3gK1AoQCUgIsAhUCBAHvAdYBvQGkAYMBVQEgAPIA0QC3AJcAbwBEABz/8f+9/3z/LP7K/lf92f1Z/OL8h/xa/F38dvyG/H78Yfw4/A777fvY+8H7ovuY+8T8EPwz+/37lPs4+wP63/q9+qX6j/pg+g/5sflj+Sr5CfkE+Q75BPjX+J/4dPhR+C74IPgu+Bj3nPbl9n72vPdU97T3pPda9xf25va99p/2jfZy9j31/fXT9c/17/Yx9pL3A/dq98D4CPhE+HD4jfiv+PT5bfoG+oL6o/pu+i36JPo8+h75nfjv+Gr4I/fz97v3iPdr9173UfdJ90z3TvdA9y73MvdP92n3bPdi9173XfdU90f3Pfcs9wb21Pav9pv2fvZG9fz1sPVk9Sv1QfXV9rX3YPd99yn2ufZW9fH1iPU89Rv1BvTc9Kr0ivR79GX0RfQr9Bz0CPPq88/zwvO386HzgvNj80HzEfLW8pfyV/IS8crxiPFQ8Rrw4vCl8GDwFO/K74nvTe8L7sHude4q7dvth+047Pfsw+yX7HLsU+ww7Ajr4uvG66/rkets60vrMusZ6v7q5OrL6rDqk+p76mfqUeo06hjqBOnx6dXpuOmg6Y3pdelZ6UTpOukw6Rvo/Oja6LjomeiA6GzoU+g16BvoD+gM6A7oHehG6Iro2+kp6XHps+ni6e/p2Om/6cnp9eoP6dvpV+jM6I3osukR6W/prOm/6avpi+mJ6bzqD+pV6nrqjeqw6u7rOuty63/rb+t669Lsbe0G7VftVe007Tftg+4G7obu0e7l7uru/e8X7yrvRO9978zwDfAv8E/wifDW8R3xWPGU8dryJvJt8rDy7/Ml807zbfOG85/zvPPi9BT0UfSZ9Ov1RPWf9f72X/a39vz3PPeJ9+P4OfiE+NP5MPmO+df6Cfov+k76ZvqB+q/66vse+0n7ifv0/HP83v0l/WD9p/34/kT+hP7B/vj/If85/1H/fP/BAA8AUACDALUA8AEtAWEBkwHXAi4ChQLHAwEDUwPRBG0FBgWLBggGkQcqB8YIVAjUCUsJtAoDCjsKcwq2Cv4LOQtnC5cLzwwEDCsMSwxwDKYM7Q1BDZQN1Q4BDiQOTg56DpwOqQ6jDo8Ocw5eDmMOiw7KDw0PRA9rD4YPpA/TEA4QRxB1EJ8QzBEAEToRfBHEEgcSNhJYEnsSpBLKEuwTFBNLE44T0RQQFEwUfBSTFJEUgRRyFGYUXBRZFGEUcxSJFKcU0BT+FSQVSRWCFdUWKBZgFoQWuBcOF20XtxftGCwYfxjPGP8ZFRkrGVMZehl+GUoY7BiLGFMYVxiHGL8Y5xj/GQ4ZHRksGTEZJRkHGOYY0xjNGMcYsxiRGGYYNRgFF+kX6hf8GAsYERgXGCEYKhgyGEEYVRhhGF8YYRh6GKMYwRjGGLYYphifGKQYrBixGLgYzhj3GRkZERjiGLEYpBi4GNEY2RjMGKgYaxggF98XvhfDF+AX+RgGGBoYUBifGNsY2hidGEIX2xdzFw4WpxYiFYkVNhWcFrQX0hhGGBgX7Bg6GNQZRBlcGVQZYRl+GYsZexleGUAZKhkcGQsY7xjFGJsYcxhJGBkX7BfKF68XkBdnFzsXEhbsFssWqRaBFk8WHBXzFdAVqRV8FVAVJBTyFLkUhxRiFEEUHBPxE8cTmhNlEzETDhL4EtwSsRKCElsSPBIbEfwR5BHHEZoRZBE+ESwRFBDaEJAQYBBUEEMP+Q91DtYOIw00C+gKdwlvCT4JygqECvQLEwsgCzYLLArjCnsKKAnqCZoJLwjMCI8IYgggB8UHbgcrBvIGuwaJBl8GNQYIBd0FtwWOBV8FOQUnBRwFCQTsBNAEuQSeBH8EXgQ+BBsD+wPmA90D0QO9A6kDlwOEA2wDVgNIAzcDHQL/AukC2wLOAsQCxQLEArECkAJ2Am8CbwJoAl8CWQJTAkcCPQI7AjQCFgHpAcQBrAGTAXIBWAFJATUBFADyANwAyQCnAH0AYQBcAGAAaQCAAKoA0ADdAMkAmwBbABH/zf+Z/3H/T/8x/xz/CP7r/sn+rv6d/o7+df5W/jb+Gv4C/fP98f33/fn98P3c/cP9qv2W/YH9YP01/Q789vzk/Mr8pfyD/HD8Zvxe/FH8Qfwu/B78Gfwe/CX8IvwW/Az8CvwM/A38DfwM/A/8Ffwb/B38G/wd/CT8Lvw3/D38Q/xH/ET8P/w9/ED8R/xL/Ev8S/xM/FH8Wvxg/GL8ZPxr/Hj8gvyF/Ij8kfyc/KP8p/yu/Lf8v/zG/M/82vzk/Ov88/z//Qr9E/0e/S39O/1E/Uz9V/1k/W/9ef2G/ZX9of2q/bb9xf3U/eP99f4K/h3+K/42/kL+Tv5Z/mT+cf58/oP+jP6W/p7+oP6h/qf+sP62/rb+tv63/rf+tP6z/rb+uf63/rP+sv6y/rD+rv6t/q3+qv6i/pr+kv6I/n3+df5w/mf+Vf4+/in+Gf4O/gX9/f3y/eD9zf2+/bX9rv2k/ZX9h/19/Xf9cP1m/Vz9Wf1e/Wb9bP1t/Wr9Zv1i/V/9YP1i/WD9WP1Q/U/9VP1a/Vz9XP1b/Vv9W/1X/U/9R/1D/UX9R/1G/UX9Sf1P/VP9Uf1R/Vb9X/1o/XP9gv2S/aH9sP2//c392P3i/e39+f4E/g7+Gv4n/jH+Ov5F/lL+Xv5o/nP+hP6a/rL+yf7f/vb/Ef8w/1P/eP+g/8v/+QAkAEsAdACmAOEBIAFeAZsB3AImAnECtwL4Az4DjAPZBBYEQARkBI0EtgTBBJkEUAQhBFIE/wYJB0YIrAo/C90NOw4iDqUPBg9zD/UQgREMEX8RxRHfEecR8BH9EhASLRJKEkkSMRIyEmESfhIuEWQQXg9IDhoM3QvUCzkK7QqqCl4KNApAClsKWgpCCjAKLAorCiMKDwnkCaIJWAkQCMEIZAgRB+AHzgfBB6wHlAd4B0oHBwa5BmgGEAWxBVEE7wSBBAcDjgMeAqcCIQGhAT0A7gCbAD//8f++/5j/b/88/wL+v/59/kz+Mv4h/hL+DP4S/g396f2u/Xn9Wf1C/S39Ffzx/LX8Zfwf+/D7w/t/+y/68/rU+rb6gPpC+h76Ifo4+lL6dfqs+un7EPsU+wT6+/r7+vH61fq1+rD6zfsB+zr7c/up+9j79/wG/BD8Hfwj/A773/u++9/8Q/yn/Lb8Vfu5+yz60/qm+pP6kvqk+sf69vsp+1b7d/uS+7L72fv//B38N/xT/HL8j/yq/MX83fzs/PX9Av0V/Sn9Nv0+/Ub9S/1J/T79Nf0z/Tb9Nf0v/Sr9Kv0r/Sj9JP0j/Sj9MP01/Tv9Q/1R/WP9eP2S/a39x/3a/ez+Av4d/jv+Wf54/pf+uf7b/v3/H/9B/2T/iP+s/9H/+AAgAEYAawCRALsA5wENATEBVQF+AacBzgHyAhUCNgJXAnkCmwK7AtYC8wMXAz8DZgOJA6QDtQO6A7gDtwO/A80D3QPvBAAEEAQdBCoEOQRKBFkEZgRzBH8EiwSZBKcEsASzBLcExATXBOcE7gTyBPwFCgUVBRoFGQUYBR8FLwU/BUUFPQUyBTIFPQVIBUoFRwVDBUAFPAU6BTwFQAVABVAFTgVOBU0FTAVNBVAFUgVRBVAFTwVPBU8FUgVYBV0FYAVjBWYFaAVnBWcFawVxBXUFewWFBZMFnAWgBaQFrgW4BcAFyAXTBeQF+QYVBjgGWAZxBpMG0AcnB4IH1ggvCI0I0gjpCOoJBwlPCZkJsQmPCU4JCQjJCJIIaghGCBoH4AejB20HPQcSBukGwwacBnUGTwYrBgMF1gWqBYQFXQUxBQUE2ASkBGIEHAPmA8ADmgNqAzYDCALaAqkCeAJTAj0CLAIZAggB/QHwAdIBnAFYARsA7gDKAKMAeQBVADgAG//1/7//cP8C/n399/1+/RD8rfxq/F38fvyj/Kz8mPx5/Fv8O/wO+877ifto+4X7xfvn+877n/uJ+4f7dvtN+yX7BvrV+n/6Ffm3+XL5TPlF+U75Rvkb+N34qPiD+HD4efiL+GT31PcY9rb27/d198n3wfeL91P3F/bX9qr2oPaf9on2XfYy9iL2P/aR9w33j/f5+En4h/i2+NH44vkB+UH5qPov+rH68vrS+nv6Qvo/+jT53PlE+LX4XPgm9/X3yfer95j3hPd493v3gfd292f3cfeY97n3uven95v3l/eM93n3aPdW9zL3Afbb9sn2svZ99jL16fWy9Zz1z/Zi9yP3qfe493T3HfbC9lP13PWK9Wv1WfU09Qf06PTT9LX0k/R/9HX0X/Q99CL0GPQN8/Tz1vO886DzdPM68v3yvvJ18irx6fG18YTxTPEN8MfwevAv7+3vsO9u7yPu0+6H7jnt6e2c7VvtJ+z97Nnst+yP7GTsP+wo7BPr9uvQ67DrmOuC62nrT+s36xzrAOrl6szqseqU6nzqaepT6jPqEun66eXpzOmv6Zvpj+l/6WPpPOkR6OjoyOiz6KTojehw6F3oXOhf6FzoW+hy6Kno7+ky6XHprunk6gLqA+n66gbqKOo46gDpe+jw6Lvo8+lh6brp3OnV6b7prOmz6d/qJepn6pDqpOq/6vLrNOto63frceuP6/jsku0P7TPtDezl7QHtbu397m3unO6f7qXuwe7j7vzvHO9X76Dv2/AD8C/wbfCx8OjxGPFT8Zjx3PIY8lTyjvLB8ufzBfMh80LzbfOk89/0GfRY9KH08vVD9ZH15fY99pP24vcx94L30vgf+HL4yvka+Vj5jfnB+ez6Bvoc+kj6i/rL+v37PPuk/CL8ifzB/Nz8/P0s/Wr9rf32/kH+hv7B/vT/Kv9r/7H/7wAhAFAAiADDAPgBLQFxAccCGgJeAp8C/gOHBCYEuwU/BcUGXgcLB7UITAjICTEJiAnMCgEKNwp2CrkK9AskC04LeAujC88L/ww2DHgMxA0XDWcNpw3WDfsOHA40DkAORQ5KDkYOMQ4WDg8OKw5kDqMO1w78DxgPOQ9qD6gP5RAVEDkQWhCAELMQ9hFFEY8RyBH0EiASTxJ3EpkSwxL9E0EThBPDFAMUNxRQFEwUPBQwFCkUIxQjFDAURBRbFHQUmBTDFOwVFBVHFYwV1RYPFj8WgBbbFzcXeReoF+kYRRiiGNsY7hj8GR0ZRhlTGSsYzxhmGCEYHRhPGJEYxBjiGPYZChkdGSYZIhkRGQAY+Rj9GQEY+hjmGMQYkRhWGCcYFBgSGAsX+xfuF+8X+hgFGBQYJhg0GDgYPhhWGH0YnhikGJMYfhh2GH4YjxicGKIYrBi+GMsYvBiXGHYYbxh9GJIYoBicGHYYKxfVF5wXkxenF78X1RfzGCUYZRieGLIYlhhbGBYXyxd1FxYWsRY8FcYVmhYaF0AYaxjnGKUYRxhkGPEZcRmTGXsZbxmEGZsZlxl9GV4ZSBk6GSoZEBjpGL4YkhhlGDcYDRfrF80XrBeJF2QXOxcRFukWxhahFngWTxYqFgMV0BWYFWgVQRUVFN8UqxSHFGoURBQVE+YTuROGE1ETJxMIEuYSvBKXEoESbRJLEh8R/hHpEccRkRFfEUoRQhEjEOkQtRCaEH4QOQ/VD3sPKg6QDVELgAnFCOAJDgncCp4LAgshCyELAAqyCksJ9AmwCWUJCQi2CH0ITAgJB7UHaAcpBu4GtAaGBmMGPAYKBdoFsgWMBWEFOwUkBRME+QTXBLsEqwSYBHsEVgQxBBED+QPrA+QD1wPDA7ADoQOPA3gDYwNTAz8DIgMEAuwC2gLKAsMCyALLArgClQJ+AnwCfwJ4AmwCaAJnAmMCYAJjAlsCNwH9AccBogGDAWYBUwFMAUIBKQENAPYA4QDDAKMAhwBqAEgANQBIAHsApQCtAJ4AjQB4AE4ADv/H/4j/WP83/yH/Cf7k/rj+kv54/mP+Tf41/h3+Bf3y/e799/4B/gH99f3l/dP9vv2p/ZL9cf1F/Rf89vzf/ML8nfx7/Gf8XfxT/EX8M/wf/A38BvwK/BL8EvwK/AH7/fv7+/r7+fv8/AH8B/wN/BH8E/wX/B78Kfwy/Dn8P/xD/EP8QPw+/ED8RfxJ/Ev8TPxO/FP8Wvxh/GL8ZPxq/Hb8gPyF/Ir8lPyg/Kj8r/y4/MP8zPzT/Nr85Pzu/Pf9Af0N/Rj9IP0q/Tb9Qv1L/VT9Yf1v/Xz9iP2X/aj9tv3D/dH93/3r/ff+B/4b/iz+OP5D/k7+Wf5k/nD+f/6L/pL+mP6j/qz+r/6v/rT+v/7G/sb+xf7G/sX+wP6+/sL+xv7F/sH+v/6+/rv+uP63/rn+uP60/q7+pv6a/oz+hP5+/nT+X/5I/jn+M/4y/jD+LP4g/gv97/3W/cf9v/23/az9of2X/ZH9jP2G/YH9gP2E/Yj9if2I/YX9gv1+/Xr9eP13/XT9bf1n/WX9Z/1r/W/9cP1u/W39a/1o/WH9Wf1U/VX9Vv1U/VH9Vf1c/WD9X/1d/WH9af1z/X/9jv2e/az9uP3G/dX94v3t/fj+BP4S/iD+Lv46/kL+Sf5R/l7+bv5//pD+oP6y/sb+3f70/w3/KP9H/2n/jP+w/9b//wApAFUAhAC4APUBNQF0AbAB7QIwAncCvAL+A0IDjAPYBBwEVASFBLYE5wUMBQoE0wR7BD8EZAUPBjYHrwlICswMEg0XDfMOuQ9gD+IQUxDLEUERlhHEEd8R9BICEhESMhJWElESGxHtEfgSHRIPEbAREBAwDvkNkAxkC7wLaQsHCoQKHwoACgIJ9wngCeAJ/AohCjsKPwolCfEJsglrCRAIoAg8CA0IDAgQB/oH0QejB24HLQbgBo4GNgXWBXEFAQSDA/0DgQMSAqICLQHDAXABJwDSAHcAMAAE/+H/sv90/y3+5P6p/oj+eP5g/j7+Jv4j/iH+BP3U/an9i/1w/VH9Mv0G/Lr8VPv4+8D7nftw+zj7DPrz+tf6pvpz+l76b/qO+qX6t/rX+wL7Hvsa+wP69vr7+vr64Pq7+q76zfsJ+0z7jvvQ/BD8Qfxc/GL8V/w6/Af7zPux+9r8RPyy/NL8gvvn+0n62fqd+oX6iPqi+s77APsy+2H7jfu2+978BPwj/Dv8UPxn/IH8mfyv/MP81vzk/PL9A/0X/Sf9L/03/UT9Uf1S/Uf9Pf07/Tv9N/0u/Sn9Kv0p/SP9G/0Y/Rv9H/0i/SX9LP03/Uj9Xv16/Zf9sv3I/d399P4P/i3+Tf5u/o/+sP7R/vH/EP8w/1P/ef+e/8T/7QAYAEEAZgCMALYA5AENATMBWAF/AaUBygHvAhUCOgJaAngClwK4AtYC8AMPAzQDXQOCA58DswO8A7wDuwO8A8UD0wPlA/gECgQaBCkENwRFBFIEXARlBHAEgQSYBKoErwSvBLkE0wTtBPUE8ATyBQUFGwUhBRYFCgUJBRQFJAUzBTkFNgUwBTIFPgVJBU4FTQVKBUgFRwVHBUwFUQVSBWAFYAVfBV0FWwVcBWAFZAVnBWgFZwVkBWIFZAVrBXAFcgVzBXYFewV8BXwFfgWCBYcFjAWTBZsFnwWgBaUFsQW8Bb8FwwXRBegF/wYYBjMGUgZyBqAG7QdXB8YIJgh8CNAJEwkxCTYJRAltCZcJnwl5CTcI6winCHUIVgg6CBEH2QegB3AHRAcZBvEGzQarBoYGYQY9BhYF6wXDBaAFewVPBSAE8wTABIMEQgQLA+MDuwONA1sDLQL/AtACpgKHAnICYAJQAkUCPQIrAgIBwQF5AToBCwDfAK4AgQBkAFcASwAs/+//i/8D/m798P2T/T782vx9/FT8avya/LX8svyk/JX8d/w3+9b7d/tL+2H7k/uq+577ofvT/BL8H/vs+6L7Zfsl+sv6Xfn4+a75g/l5+YP5gflc+R745fjG+Mz47Pj9+Lj4CfdD9un3JPee9+b34Pez93v3NPbp9sH20fcA9yT3KfcZ9wj3FfdU97z4J/h5+LP43/j8+Qz5IvlU+aT6B/p++vr7RPsm+rn6W/pI+k/6FPmI+PL4jvha+DL4Cvft99f3wfex97H3uPey96j3tffe+AD3//fo99j30/fD96j3kPd/92X3Pfca9wX27Pa69nz2UPZB9lH2jvcD95D37vf498T3d/cU9pb2G/XS9b31rvWI9Vn1OfUf9P/04fTY9Nb0w/Sg9IX0efRo9Ej0J/QQ8/jzz/OX81rzHPLV8ozyUfIh8fDxtPFw8Snw3fCT8FHwFO/R74TvM+7m7pzuUu4K7cztmO1u7UntJOz77M/srOyU7H7sXewz7A/r9evf68frsOua64PraOtM6y/rD+ry6t7qzeq06pDqbepT6jzqH+oD6fDp5OnO6afpdelB6RTo9ejl6Nroxeiq6Jvoneih6Jnokeig6MvpAeky6WDplOnK6fjqFOoj6jnqWupm6i3pqekg6O7pLemZ6d/p5unR6cbpyunc6gLqPuqA6q7qxOrW6vvrMuti63jriOu/7DLsuO0I7P3swuyq7Ortcu3+7lPuZu5g7mzuke697uDvBu8873nvru/h8B7wXvCO8KvwzvEJ8VDxkfHI8gDyOPJn8ozyq/LN8vbzK/Nq86vz5vQi9Gj0tfT79Tv1g/Xa9jX2ivbZ9yj3effM+CH4c/i5+O/5IflX+Yb5ovm7+ej6L/p2+rP69/tb+9P8OPxu/H/8iPyf/Mv9CP1P/Z798P5B/oj+xv8D/0X/hv++/+0AHwBWAJEAzQESAVwBogHkAjkCtQNUA/QEgwUIBZsGRwb9B6cIOAirCQQJSAmACbEJ5AofCmEKowrbCwcLKAtLC3oLtQv6DEQMlQzqDTgNcw2dDb4N2g3pDewN7w34Df4N8g3aDc8N4Q4MDkAOcQ6ZDroO2Q8DDzsPeg+yD9wP/hAfEEwQiRDTERwRWhGTEc8SCBIzElQSexK0EvMTMBNtE6wT4hP8E/gT7BPpE+8T9BP6FAcUHRQ2FFIUdhSgFMcU6hUTFUsViRXEFf0WRxalFv4XPRdtF7AYEBhyGLAYxhjRGOgZChkaGPwYrRhGF/YX5BgOGFIYjhi2GNMY7Bj+GQYZBxkHGQwZFhkhGSUZIRkXGQMY4BivGIIYZxhTGDIYAxfaF8sX0hfgF+4X+xgFGAwYFxgyGFoYexiCGHAYWRhQGFwYdRiKGJQYlBiQGIYYcRhZGE0YTxhXGGAYZxhkGEAX+BerF38XfheNF5sXrxfVGAYYJRgfF/oXzReyF64XrheaF24XNBbrFpYWaRa3F5gYmxkbGOkYgBh7GPEZdxmuGZ4ZjBmYGa0ZrxmcGYMZbhlZGUEZJBkBGNgYrBiCGFsYNhgQF+kXxBelF4cXYxc2FwsW6BbIFqUWfhZWFikV8hW4FYsVaBVCFREU3xS5FJcUaBQuE/sT0hOsE4ATVRMsEwES0RKtEpwSjxJsEjgSEBH7EeURuxGNEXYRcBFaEScQ8BDKEKkQbxAlD/AP0g95Dm8Mlwp2CPEImAk7CioK0wsYCyELBgrECmUKBQm0CWYJEAi/CH4IQwf8B60HZQcjBuMGqQaCBmgGRgYQBdYFqAWCBVwFOAUeBQYE5QTCBKsEogSWBHsEVQQwBBMEAQP6A/QD5QPOA7cDpAOUA4EDbwNcA0QDJAMGAu8C2gLEArgCvQLCArYCnwKTApUCkQKCAnYCegKCAn8CdwJ0AmkCQwIIAc8BpQGFAWsBXAFYAU4BNwEdAQkA9QDcAMYAsACKAFEAJAAiAD8ATAA5ACgAPABlAHMATwAI/73/hP9f/0b/Kf77/r/+g/5S/i/+Gf4M/gL99/3w/fX+AP4D/fz98v3s/eP90f26/aD9gP1S/SD8+Pzc/MH8ofyD/HD8Y/xW/Eb8M/wf/Av7/fv5+/z7/fv6+/X78Pvq++f76vvw+/f7+/v+/AP8CPwP/Bn8JPwu/DX8Ovw9/D/8P/w//EH8RfxI/Er8TfxQ/FT8Wvxf/GP8Zvxt/Hf8f/yE/Ir8k/ye/Kf8sPy8/Mr81fzd/OT87vz4/QL9Dv0b/Sf9Mf07/UT9Tf1U/V79a/16/Yf9lP2j/bP9w/3V/eb99f3//gr+G/4v/j7+Sf5U/mD+av5y/n/+j/6b/qL+qP6y/rv+vf68/sH+y/7S/tL+0v7U/tT+z/7L/s3+0f7S/s/+zf7L/sf+w/7A/sD+wP6+/rv+tP6o/pv+kf6I/nr+Zv5Y/lX+Wv5a/lP+SP45/iT+Cf3x/d/91f3M/cP9u/2z/a39p/2j/aH9of2j/aP9oP2b/Zj9lv2V/ZP9kf2O/Yr9hf1//Xv9ef16/Xz9ff15/XT9cv1x/W79aP1i/WH9Y/1h/V/9YP1m/Wv9a/1r/W79dv2A/Y79nv2t/bn9wv3N/dv96/36/gf+Ff4k/jP+Qf5M/lP+Wv5j/nL+hf6a/q3+vP7L/tv+7/8F/x7/O/9c/3//ov/D/+QABwAwAGAAlQDNAQgBRgGFAcIB+wI2AnUCtwL8A0EDiAPNBBIEWQSfBN8FFQVDBV8FUQUIBJ4EWASCBT8GdQflCVAKngvgDSMOTw8tD7MQEBB4EOsRSBGEEbER2RHvEfcSCxInEiYR9RG/EbUR0BHkEdkRpxEaD/YOZw0DDDkL3gt4CtsKRAnuCccJqAmQCZYJugnnCgsKIAodCf0JzAmRCUEI2Ah3CEYISQhSCDwICQfPB5YHVAcDBqkGTAXuBYgFEgSLBAEDiQMfArMCRQHmAZ0BWAEDAKgAZAA5ABb/5P+j/1r/FP7i/sn+tv6N/lP+KP4e/h7+DP3t/dP9vf2d/XL9SP0a/M78YPv1+7D7jvt0+1P7Nvsf+wT63Pq1+qb6rvq/+sj6zvre+vj7CfsB+u365Prw+vj66PrJ+sH64fsc+1r7lPvS/BX8Ufx5/IT8cvxI/BP75vvY+/n8RPyY/Lz8j/wd+5P7GvrC+pD6ifqq+uH7FftB+277pPve/A/8MvxL/F/8cvyE/JX8pfy1/MX81Pzj/PP9Bv0X/SL9J/0v/T79Tv1T/U39R/1F/UT9P/02/TH9MP0u/Sb9Hv0Z/Rn9G/0c/R79I/0s/Tr9UP1r/Yf9of26/dL97P4I/ij+S/5w/pL+s/7S/vD/Df8s/1D/d/+d/8L/6gAXAEMAagCPALoA6AEUATsBYQGHAasBzQHwAhgCPgJeAnoCmgK9AtwC9AMNAy4DVgN6A5cDqwO4A70DugO3A7wDygPeA/MEBwQZBCkENwRDBE8EWQReBGQEdASLBJ4EowSmBL4E5wUFBQQE9wUEBS8FUgVOBSgFBwUABQwFGgUjBScFKQUoBSsFNAVABUkFTQVPBVAFUQVUBVoFXwVhBW8FcgV1BXMFcAVvBXMFeAV7BXsFeQV2BXMFdgV8BYIFgwWEBYcFjAWPBZAFkwWZBZ8FpAWpBawFrQWsBbEFuwXCBcEFwwXSBeoGAAYUBiwGTwZ6BrUHDweGCAEIYwisCOkJHQk/CU8JXQlyCYYJhQlmCS4I5giiCHIIVwg9CBMH2gejB3UHTAciBvsG2Qa5BpgGdgZTBiwGAQXaBbgFlQVqBTsFCwTXBJwEYAQrBAAD1gOpA3sDTgMhAvgC2ALAAqwCmAKJAoECdQJWAh8B2gGaAWgBPAENANYApwCPAIsAgwBbAAb/h/7v/mD9+/2+/X79GPyd/Er8Qfxp/JH8pvyw/LT8nPxU++X7fPtI+1L7cvt4+3D7kfv0/GL8iPxQ++/7mftN+vL6iPol+d75t/mv+bj5u/mh+XH5RPk2+U/5d/ly+QX4Nfdp9xr3XffS+BL4B/fW95r3Vfcb9xL3Sfej9/b4J/gx+CT4Hfg4+HP4sPjd+P35G/ky+Uj5dfnJ+jX6oPsJ+2z7nvtq+ub6ePpg+mv6Nfmo+RP4uPiQ+G34Q/gl+Bb4Cff79/j3/vf79/L3+vgc+Dn4Ofgk+Bf4EPf999r3v/ez96X3ifdp90/3MfcH9ub27PcZ90/3g/e99/34KPgl9/j3rPc+9rn2SfYW9hH2BPXX9aP1gfVp9U71OPU29Tr1K/UL9PH04PTG9J70efRj9E30JfPu87TzePM08vHyu/KP8lzyGvHP8YTxOvDx8LDwc/Ay7+bvlu9M7wfuw+6A7kPuD+3h7bntlO1u7UftJO0I7OvsxeyX7GzsTew17CHsEewA6+vr0euy65HrcOtU60LrMOsV6u7qyuqv6pPqcupV6kTqN+oc6enpq+lx6ULpJukZ6Q7o++jh6NPo0ejO6MLou+jM6PLpGek16VDpdumq6ePqF+pD6mvqk+qf6mTp3ulU6SLpXum+6ezp3+nL6dXp8OoK6izqZeqq6t3q8+sB6x3rR+tt64rrsev97Gnsxuzh7LXsfuyI7Oztfu317inuKu4m7j7ube6f7svu9u8l71Lvge/A8A3wS/Bl8GrwgfC88QXxRPF68bTx7vIe8kHyZPKM8rvy8/M083bztPPx9Db0f/TA9Pr1PPWN9eT2MvZ79sn3Hvd198r4GPhc+JH4wfjy+SL5SPlr+Zz54for+nH6vfsd+4n76Pwn/Ef8Wvxy/Jj8yfz7/TD9b/25/gP+QP55/rr/BP9G/3r/qf/hACQAbQC2APkBNgF8AegChQM4A9kEXwTlBYQGOQbsB4kIDQh0CL4I9AkjCVQJiQnBCgEKSAqLCrsK3Ar8CywLbAu1DAUMYQzBDRMNSA1nDX4Nlg2mDa0Nsg26DbsNrA2WDYsNlw2zDdsODA4/DmkOiA6nDtUPEQ9RD4oPtg/bEAIQMxBuEK0Q6xEuEXcRuhHrEg4SNxJsEqUS1xMKE0ITdxOUE5gTlhOgE7MTxRPSE+IT+BQXFD0UZhSNFKwUxhToFRoVVBWMFcUWDRZmFr4XARc4F3wX2Rg2GHUYjhiXGKkYxhjcGM8Ykxg2F+AXuxfUGBAYThh+GKQYwRjRGNUY1xjkGP8ZGhkpGSkZIBkXGQ4Y/RjgGMIYqxiRGGEYGhfXF7cXuhfPF+IX7xf0F/QX+hgQGDEYShhOGEEYOBhCGFsYdxiKGI0YghhuGFYYQxg8GEIYSRhFGDYYLBgkGA4X3henF4QXfReEF5MXsRfYF+gXxBd3FysXCRchF2EXpRfMF84XuheWF1sXIRcoF6IYWxjVGMwYiBiHGO8ZcBmxGbIZqRm2GccZxRm2GaYZlBl6GVkZOBkZGPQYyRiiGIQYZhg/GBAX5BfDF6YXhRdcFzYXFRb1FswWnhZxFkUWFRXkFbcVjhVhFS8VAhTeFLoUhxRNFB8UBBPtE8sToRNyEzwS/hLIEqoSmhKBElkSMhIXEf4R2BGxEZkRjRF4EVARIhD/EOMQuBB5EDoQBg+uDtMNNQsaCUcIfAjVCcAKjwr6CxwLGArqCo4KIAnBCXEJIQjQCIkISAgCB7UHaQcgBtsGowaDBnIGUwYbBdkFowV6BVYFNQUZBP0E2gS3BKIEmgSPBHUEUgQyBBsEDgQIBAID8wPZA74DqAOVA4QDdANhA0YDJQMIAvEC2AK9AqsCqQKsAqgCoAKhAqICkwJ4Am4CfQKNAocCcQJgAk8CLwICAdoBvwGqAZkBkgGNAXoBVgEvARIA+QDhAM8AvwCeAGQALgAZABb/+f/C/6j/2AA2AHwAfgBJAAT/yf+e/37/Wv8k/t3+kf5P/iP+Df4I/gb+Av4A/gX+Cf4C/fT97f3y/fD93f3B/ab9if1f/Sz8/vzg/Mf8rfyV/IH8b/xc/Ej8NPwh/Az7+vvw++z76/vp++f74/vc+9r73/vo++377fvu+/P7+vwB/Az8Gfwm/C38Mfw1/Dr8Pfw//EH8RPxF/Eb8SfxN/FH8Vvxc/GL8afxx/Hj8fvyD/Ir8lPye/Kf8sfy+/M382Pzh/Ov89fz//Qv9GP0n/TX9Qf1M/Vb9Xf1k/W39ev2J/Zb9of2u/bz9zP3f/fP+Av4N/hr+LP5A/k7+Wf5l/nL+e/6B/oz+nP6p/rH+uP7C/sr+y/7J/s7+2P7f/t/+4P7j/uT+4P7c/tv+3v7f/t3+2v7W/tH+y/7H/sX+wv7A/r7+u/60/qr+of6X/oj+ev53/nz+ff5t/lL+N/4m/hr+EP4G/f398v3l/dr90/3N/cj9wv2+/bz9u/26/bb9sP2p/aT9o/2i/aL9of2e/Zr9lP2P/Yr9hv2F/YX9g/19/XX9cv11/Xf9dP1v/Wz9bv1v/W79bv1x/Xb9d/14/Xz9hP2P/Z39rf29/cn90f3Z/eb99/4J/hv+Kv44/kb+Uv5c/mT+bf57/o7+ov60/sT+0f7f/u//Av8X/y//S/9s/4//sv/T//IAFQA/AHEAqADfARYBTwGLAccB/wI0AmsCqQLwAzwDhQPJBAsEVwSsBPwFOQVnBY4FogWHBTIExgSGBK8FUgZVB48I6gppDAINeg6LDykPjw/5EGkQwBD8ETsRghG1EcgR0xHmEe0R1xG7EbYRwxHQEegSAhHKENgPQg2xDLsMTwvpC0MKiwoDCbEJeQlVCUgJSAlHCU8JbwmXCaoJoAmDCVYJEQjDCJAIhQiJCHUIQgf/B7oHbgcTBq4GTAXyBZQFIgSdBBkDpgM8AssCXAIDAcQBhAEwANQAjABfADoACv/K/4P/Qv8W/v/+5v6x/mr+Nf4i/h7+Ev4D/fz98P3I/Y79Wv0u/O/8jvwn+9z7tPub+377XPs6+xz7APrq+tn6zvrG+sH6vvq++sL6w/q/+r36yfri+vT67/rh+uX7B/s4+2T7jfu8+/b8Mfxf/HT8avxK/Cn8GPwY/Cf8Rvx1/KH8rPyC/Cn7rvso+rr6ivqh+uL7IPtN+3z7u/v//DX8Vvxs/IL8lPyf/Kb8rvy6/Mj81vzl/PX9B/0W/R/9I/0q/Tb9Rf1O/VD9UP1P/U39R/1B/Tz9OP0y/Sz9Jv0i/R/9Hf0d/R/9I/0p/Tb9TP1o/YT9n/25/dP97f4J/iv+Uv57/p7+vf7a/vf/E/8z/1j/gf+n/8r/8AAbAEcAbgCTAL4A7QEaAUMBawGTAbgB2gH8AiECRgJlAoACoALDAuAC9AMIAycDTwNyA4oDmwOqA7QDtgO0A7kDygPiA/kECwQcBCsENwRCBE8EWwRgBGMEbQSCBJMEmQShBMEE8AULBQME+QUZBWAFkwWFBUgFEwUGBRIFHQUeBSAFJgUqBSwFMQU7BUgFUQVVBVcFWgVfBWUFagVtBX4FhAWIBYgFhQWEBYcFigWLBYoFiQWHBYcFiQWPBZMFlgWXBZkFnQWfBaIFqAWxBbcFugW9BcEFwgXCBcQFywXQBdAF0wXhBfYGCAYaBjQGXAaPBtIHMgevCC0IiwjCCOQJAgkfCToJUglnCXQJcwleCTEI8QiqCHQIVAg7CBUH4QeuB4IHWwcyBwsG6QbJBqoGigZpBkMGFgXrBcUFoQV6BU8FHwTpBK4EdARDBBoD8gPIA5wDbgNCAx0DBQLyAtsCwwKzAq0CnAJ0AjkB/wHSAa8BjQFiATABAQDfAMgApgBi//b/dP73/pX+W/41/fj9h/z2/IL8VPxl/I38sfzK/ND8s/xl+/X7jPtT+1H7Yfte+1f7fPvi/FP8f/xT+/z7rftn+xD6qPpK+g759fny+fn5+/nw+dv5y/nQ+ef59/nK+Tj4WPeV91X3n/gS+E/4QPgK99D3ofeP97H4Bfhr+MP4+/kP+QT48Pjv+QP5Gvko+Tj5Vvl++bD5/vpx+vT7Zvu++/v7/Pug+wv6nfqE+oP6Pfmr+SH43fjF+KL4cfhT+FH4U/hM+Eb4SPhF+Dn4OPhO+Gj4bfhh+Fb4Tfg2+BL3+Pfx9+r30fev95H3c/dV91X3lPgC+GP4jfiI+HL4Vvgx9/33svdL9tb2f/Zl9m32YfYv9fb11vXG9bP1oPWb9Zv1jPVv9VT1QPUi9Pj00/S89KX0e/RF9A3z1POV81fzJvL78sXye/Iq8dvxkfFL8Qzw0fCR8Ejv/e+573nvOe767r3uhu5T7ifuA+3h7b3tme127VPtKOz37Mrsp+yQ7IPse+xv7FnsO+wZ6/fr1uu766frk+tz60vrJusJ6urqxuqo6pfqh+pk6ijp4emj6XbpXOlP6UPpMOkZ6QrpAej16OXo5Oj86R/pN+lB6U3paemZ6drqIepm6qTq1urj6qPqGOmL6VnplOno6gbp8Onj6fzqIeo86lzqmOrh6xXrLus/61jrdOuK66fr3+w27IvstOyc7GHsQ+x17PPtf+3a7fPt7+357iDuVO6F7rPu4u8M7y3vVu+c7/LwLvA48CzwPfB48MDw/fEy8W7xq/Hc8gLyKvJY8ozyxfMF80jzhfO+8/70QfSB9Lv0/vVM9Zr14PYj9nH2xvca92n3tff8+Dj4aPiW+Mf4+Pkp+V/5n/no+jf6i/rj+zz7jvvY/Bn8UPyD/LP81/zo/PH9DP1G/Y79y/36/jD+c/62/u7/H/9Z/5//7wBAAIwA1gExAbcCagMoA8kESwTQBW8GHAa+B0oHwAggCGQIlQjECP0JOQl0CbMJ+Qo+CnAKjwqtCtwLGwtlC70MJQyRDOgNGw0xDUINWA1uDX0Nhg2GDXYNWg1ADTYNPg1TDXgNrw3wDiYORw5gDoQOuw7+D0EPeA+hD8IP5RAQEEAQdxC5EQYRURGNEbwR7xInElsSgxKpEtUTAhMhEzETPRNTE3ITkROrE8IT3hQDFDAUXBR+FJMUqBTJFPoVMhVnFZoV2hYqFn0Wwxb8FzwXjxfmGCcYRxhUGGYYhhimGK8Yixg9F+UXrReuF9gYDxhBGG0YkBihGKEYohi3GN0ZAhkUGRIZBxj/GPwY9hjnGNQYwhipGHUYKBfdF7UXthfRF+0X/hf9F/IX6RfxGAUYEBgMGAcYFxg+GGgYgxiKGIAYaRhLGC4YIBgjGDIYNxgkGAEX5hffF94XzReoF4EXaxdzF5sX1hf7F94XeBb7FqsWqBblF0IXmRfPF9wXzhe2F48XWBc3F2EX1RhHGHoYhxi7GSoZlxnDGbsZtxnKGdwZ1xnIGb0ZsRmXGXMZUxk3GRQY5xi/GKMYixhoGDwYEBfqF8cXoxd+F1wXOxcUFuUWtRaKFmQWPBYQFd4VqBVvFTsVFRT7FN8UuBSPFHQUZhRRFCcT7xO2E3oTNBLsErYSmxKPEn8SYhI9EhQR6xHHEa8RnxGOEXURWRE+ESURBhDREIEQHA+bDssNaAt9CaEImQizCYUKXAreCxsLLwsQCrMKOAnOCX8JMwjjCJkIWAgUB8QHbwcgBtsGpwaKBnoGXAYkBd8FpAV5BVUFNQUXBPkE1wS2BJ8EkwSGBHEEVgQ+BCsEHQQTBAoD+wPkA8gDrgOWA4IDcQNeA0UDJgMKAvMC2AK8AqcCoAKdApcClQKbApkCfwJgAlsCdQKKAn8CXQJAAikCDQHyAeMB4wHoAe4B/QIEAesBrQFiAScA/ADbAMYAuACcAGsAOgAfAAn/0f+B/1r/i//2AFAAawBSACT/9f/M/6b/gP9P/w7+xv6H/lv+Rf46/jD+I/4Z/hb+D/3+/ev95v3s/en90/21/Z/9iv1n/Tf9Cvzp/M/8tfye/Ir8dPxb/EL8LPwZ/AT78vvn++H73fva+9n71/vS+9D71/vf++L74Pvh++f77Pvw+/j8B/wV/B78Ivwp/DL8OPw8/D/8QfxB/ED8QvxH/E38UvxX/F/8afxx/Hf8fPyD/I38mPyi/Kz8t/zC/M381/zi/O38+f0E/RD9Hv0t/Tv9Sf1Y/WT9bf10/X/9jf2c/aj9s/2+/cv92f3q/fz+C/4Y/if+Of5M/ln+ZP5y/oD+if6P/pj+p/60/r3+xP7O/tb+2P7Y/t7+5/7t/u7+7/7y/vP+8P7s/uv+7P7r/uj+4/7e/tj+0v7O/sr+xv7C/sD+vv68/rn+s/6q/p/+mf6b/pr+if5i/jb+Ff4I/gj+Dv4V/hb+Df3+/e/96P3l/eP93/3b/dX90P3K/cP9u/2z/a39qf2m/aP9ov2g/Z79mv2V/ZH9jv2M/Yv9iP2C/Xr9dv16/YD9gP18/Xn9ev19/X39fv2B/YX9iP2J/Y39lv2j/bD9vv3M/dn95P3t/ff+B/4a/i7+Pv5M/lr+Zv5w/nn+hP6W/qz+v/7O/tr+5f70/wb/Gv8w/0n/ZP+B/5//vf/dAAAAJgBSAIUAugDvASIBVgGNAcUB+wIuAmMCngLkAzQDhgPPBBIEXAS1BQ8FVQWDBaYFxAXOBa0FWwT0BKkErQUcBfQHKAinClAL4w0bDeoOfg8JD4kP6RAzEIwQ+hFUEYMRmRGwEcIRxBHCEcURwxG6EdASERIgEXQQBA5uDVoM0wxgC7EK5Qo3CbkJXQkbCOgIqAhaCC0IUQi3CRkJTQlbCVYJPAkMCNoIwgjACLMIhQg7B+QHhQcYBqcGQQXrBZYFLgS1BD0DzwNgAuUCcAIeAesBtQFlAQgAvQCLAGEALv/u/6f/Z/86/yP/Cf7U/o3+VP42/ib+GP4S/hb+Df3h/aD9af1D/RP8yPxy/C78APvZ+6n7bvs3+xH7Afr7+u761vq/+rH6pvqT+nv6avps+oL6qvrU+vD6+vr/+xP7NftU+2n7ffud+8j7+Pwl/Eb8T/xE/Dv8QfxN/FH8Vvx1/LD87f0D/NX8W/uo+vb6jPqK+tD7IPtc+5X72fwg/FL8bvyF/J78sPy1/LT8ufzF/NP83/zr/Pn9Cv0a/Sb9LP0w/TX9Pv1J/VL9V/1V/VD9S/1G/UH9Of0x/Sz9Kf0l/R79F/0W/Rj9G/0h/S/9R/1l/YT9of2+/dn98v4N/i/+Wv6E/qj+xv7i/v//HP89/2P/jf+0/9b/+gAiAEsAcQCXAMIA8gEhAUwBdQGhAckB6wIKAiwCTgJrAoUCogLCAtsC6wL+Ax0DRwNoA3oDhQOUA6UDsAO0A74D1APvBAUEFQQjBDAEOQRBBE0EXARmBGsEdASHBJkEoASnBMAE5QT4BO0E6wUaBW4FpQWTBU8FGQUPBR4FJQUiBSMFKwUzBTUFNwVABU0FVwVcBV8FZAVsBXMFeAV6BYwFkAWUBZQFkgWRBZQFmAWaBZkFmwWdBZ8FoAWiBaYFqQWrBasFrAWuBbQFvQXGBcwFzQXQBdYF2wXcBd0F4QXnBewF8wYABhEGIgY1BlIGfAaxBvYHWQfWCE4IogjICNcI5gj+CR0JPglZCWgJaAlYCTUI+gixCHAIRQgrCA4H5we9B5UHbwdIByIHAAbfBr8GnwZ/BlgGKgX6Bc4FqQWGBWIFNQT9BL0EggRVBDIEEgPuA8UDlgNoA0QDLQMXAvoC3QLMAsMCrgKEAlICLQIWAgQB7wHWAbIBfQE5AOwAlQAs/7r/Wv8i/xD/C/7y/q7+PP21/UD8//z0/Qb9Hf0k/Q380fxy/AH7n/to+2D7bvty+3D7hfvC/Ab8IvwK+977t/uH+zj60vp5+kj6PPo/+kL6Q/pG+lD6XPpl+mL6Qvns+Uv4evfQ95736Pha+Jv4kvhg+DH4Ifg8+ID41vkm+WP5jPme+Zb5gPlz+XL5cflu+Xr5pvns+kP6rPsr+6/8Hvxn/H38SPvG+yr6xfqs+pb6Ofmk+S35APjy+M74m/iB+Ir4lviR+If4hPh++HD4avh8+Jf4pPif+Jb4ivhx+FH4O/g0+Cb4BPfd98H3q/eZ9634Dfio+S/5X/k3+OH4g/gt9+T3ofdW9wf20PbG9tL2xfaR9ln2PvY29ij2EfX+9fH13vXD9av1lvV79Vf1NvUe9QL01fSe9Gf0MfP2877zkPNi8yby1/KC8jPx6/Gn8WrxMfD08K/waPAo7+vvru9x7zbu/u7I7pnucu5P7ijuAO3X7a/tg+1U7SntCez27O/s7Ozh7MfspOyA7F/sP+wj7Anr7uvK65/reetb6zzrGer76ufq0Oqk6mHqGOnb6bLpm+mN6X7paulV6UfpOekk6RHpFOkw6U/pXOld6WPpe+mq6e7qQuqY6ufrI+sy6u3qWunI6Zjp1Ooj6jrqIuoa6jbqVupp6onqyusW60jrYut465Hrnuuk68LsC+xm7Jzsj+xS7BnsG+xv7Pjtde227cDtv+3a7g7uQu5s7pruzu737xDvMu9379DwCvAN7/vwB/A/8IPwu/Dv8SrxZvGY8cPx8vIp8mHynfLe8yDzWvOL88Hz/fQ69Hf0uvUF9VD1lPXZ9in2ffbK9xD3WPei9+T4F/hE+Hb4rvjm+R75Wvmj+fr6Vfqn+uz7L/t++9z8PfyU/NX88fzl/M382P0X/W/9sP3P/eT+CP48/nH+pP7a/xb/W/+rAAsAegD9AZ0CWAMUA7YEPgTEBVgF7gZ3BvIHYQfACAgIPQhzCLUI+wk9CYAJxwoHCjMKSgpfCoUKwQsOC20L2wxJDJ8M0QzsDQENGg01DUwNWA1QDTANBAzjDNgM4gz7DSgNag21DfAOEg4mDkUOdw65Dv4POg9lD4IPmw+3D9gQAxA/EIoQ2hEhEWERoBHfEhQSOxJZEngSmBK2Es8S6hMLEzMTYBOME7IT1RP8FCgUUBRrFHoUjBSuFN4VERVBFXEVrRX3FkYWiha+FvIXNheFF8sX+BgSGCwYURh8GJcYixhQF/sXtReZF6cXzBf8GC8YWxhxGHQYdxiOGLcY3RjwGPEY6xjoGOgY5hjcGM0YuxifGG8YKxfpF8QXxBfcF/gYCBgFF/AX3hfdF+gX6RfcF9cX8xgoGFcYbRhrGFwYRBgkGAMX8BfxF/4YARfrF8IXoBebF6sXsBeSF10XOBdKF5UX7RgOF80XRhbHFpAWqRbrFzUXdhecF54XhBdnF08XMBcQFxUXVhe7GB0YghkDGZEZ7BnvGcYZtRnMGeUZ4xnVGc4ZxRmtGYoZbRlUGTAZARjWGLgYnxiAGF0YOhgUF+kXvReYF3UXTxciFvYW0hawFooWXRYtFfoVxBWKFVkVOxUsFR8VDBT6FPAU5BS9FHQUHhPVE50TYxMbEtUSqhKeEpsSiBJfEiwSARHlEdERwBGzEakRmhF+EV0RQhEhEN0QZg/DDt8NhAusCc8IsQixCXMKSQrWCyMLSws5CtsKWAnoCZgJTAj5CKwIbQgoB88HcAcdBt0GrgaQBnoGWgYjBeEFpwV9BVkFNgUUBPQE1AS2BJ4EkASFBHcEZgRVBEEELQQbBAwD/APnA84DswOXA3wDaANYA0MDKgMPAvYC2wLBArACqAKfApMCjAKNAoUCawJRAlUCdQKJAnoCVwI6AiECBAHqAecB+gIXAj4CcgKdApECPgHGAVsBDgDcAMAArgCSAGYAPAAlAA3/0/99/0b/V/+b/9n/9P/2/+//3//G/6j/i/9q/0H/Ef7j/r3+of6G/mj+SP4u/h3+C/30/d/91v3T/cb9rP2S/Yb9e/1h/Tr9E/zy/NP8tPya/IX8bvxU/Dn8IfwJ+/H74PvX+9P7z/vM+8v7yvvI+8f7zPvT+9T71PvY+9774Pve++P78fwB/Ar8D/wZ/Cb8MPw0/Df8Ovw7/Dr8O/xC/En8TvxT/Fz8Z/xv/HT8evyE/JD8nPyo/LP8vfzG/M781/zj/O/8+/0G/RP9If0v/Tz9S/1b/Wv9d/2C/Y79nf2t/br9xv3R/d396f34/gf+Ff4k/jT+Rf5U/mD+bf59/oz+lv6d/qj+tf7A/sb+zP7V/t7+4/7m/u3+9f76/vv+/P79/v3++v74/vf+9/70/vD+6/7m/uD+2/7X/tX+0P7K/sb+w/7D/sP+wP64/rH+rv6r/p3+e/5Q/i3+HP4Y/hj+G/4i/ib+IP4Q/gH9+v36/fv9+f3y/en93f3S/cj9wP24/bH9q/2k/Z79m/2c/Zz9mv2W/ZP9kv2S/ZH9kP2M/Yf9hP2G/Yr9jP2K/Yj9if2K/Yz9j/2V/Zv9n/2h/aX9r/28/cj90f3c/en99/4C/gv+GP4q/j3+UP5g/nL+gv6O/pb+n/6v/sT+1/7m/vL+/v8N/x//Nf9O/2n/hf+e/7X/zv/rABAAOgBoAJcAyQD8ATABZAGXAckB/AIxAmkCpALlAzIDhgPZBCMEbQTCBR0FawWgBb8F1QXnBesFygV5BQgEqQSUBOoFrQbMCC0JnwrnC+wMwg2EDjMOwQ8+D8YQWBDPERgRSRF3EZ4RsBG2EbgRqxGTEaIR7xImEb0Qkw8pDh0NhAz+DEYLcQqpCfgJXAjgCH4IDweLBzIHVQfrCJUJAQktCUAJRgkwCQgI7QjsCOsIyQiACCAHsgc3BrkGSgXwBZsFNwTHBFsD9QODAwECiwJAAhgB7QGjAUsA/wDFAJEAVQAQ/8j/hv9X/zz/If7x/q/+df5N/jH+Hf4W/hb+Bf3X/Z/9df1W/Sj85fyc/GP8NvwC+737bfsm+v369fr6+vL62vrB+rD6m/p1+kf6Kvov+lf6j/rF+u37CPsj+0T7Xvtk+177Yft3+5f7u/vl/BP8NfxD/Ev8WPxn/G38dvyY/Nf9FP0s/Qf8mvvr+yz6qfqV+tj7NPt/+7/8A/xA/Gj8fvyU/K/8wvzG/MX8zfzb/Oj88fz5/QX9FP0k/TP9Pf1A/T/9Qf1L/Vf9XP1Y/VD9Sv1H/UH9N/0t/Sb9Iv0a/RD9B/0E/QX9CP0P/SD9Ov1Z/Xn9mP24/dX97/4M/jH+XP6I/q7+z/7u/wz/KP9I/27/l/++/+AAAwArAFQAegCgAMwA/AErAVcBggGsAdQB9QISAjICUgJuAoUCnwK7AtIC4wL2AxcDQANfA2oDcAOAA5kDrQO6A8gD4AP9BBIEIQQuBDoEQARCBEkEWQRpBHMEfwSUBKkEswS3BMIE1QTeBNYE2QUFBUwFeAVnBTIFDgUQBSIFKAUjBSMFLAU1BTgFPAVFBVIFXQVkBWoFcgV8BYQFiQWLBZoFmgWbBZwFnAWdBaIFqAWsBa0FsAW1BbgFuAW4BboFvgXABb4FvQXABckF1AXeBeMF5gXqBfEF9wX5BfoF/wYHBg8GGQYmBjUGSAZhBoEGqAbZByAHhwgBCGwIqgjACMgI1wjxCREJMwlPCV4JXAlMCS0I+wi3CHEIPggfCAgH7QfLB6UHfwdaBzcHGAb5BtgGtQaSBmwGQAYRBeUFvwWgBYAFVAUWBM4EjgRiBEYEMAQVA/EDxAOVA28DVAM6AxoC+gLkAtICswKFAmACUgJSAlMCUQJNAjQB6wFxAOEAVf/Y/3f/Sv9d/5T/vP+w/3L/Gv7A/nD+Mf4I/fL93v24/XD9CPyP/Br7vvuJ+4H7lvut+7X7tfu3+7n7tvux+7b7u/ul+2H7BPq2+o36hPqE+oP6hvqW+rP6y/rG+pn6TPnh+VH4p/gZ9+v4K/id+O749vjQ+LD4vPj1+UP5h/m1+dj5+/oX+hv6Cvn3+en52fnK+dT6Dfpx+uP7VPvE/DP8lPzP/Mn8cPvZ+0T67vrQ+qL6Mvmh+Tv5GvkR+PP4yvi6+MX4zvjG+Lj4sfip+Jv4mPis+Mr42/ja+NP4x/ix+Jf4hPh2+Fn4KvgA9/D36vfi9/b4U/jx+YP5vPmR+Sj4q/g199r3oPd691T3Nvct9zH3IPbv9rv2o/af9pH2cvZQ9jj2I/YO9f317vXY9bv1nfWB9WD1MPT49ML0j/Rb9Cfz9/PC837zLPLZ8o7ySvIL8dHxmvFe8Rvw1vCW8FnwHe/i76rvdO8/7w7u4u647ovuXu4y7gft3O2y7Y7tdu1n7WHtWu1K7S3tCOzl7MXspeyD7GLsQOwZ6+7ryOuo64rrautN6zTrFOrg6prqVOoe6fvp5unW6cTprumb6Yzpeulf6UnpTulp6YPpjemO6Zfpsenf6iTqferb6zPrduuH6z/qpeoO6dzqFeph6nXqXupZ6nHqh+qR6rDq9Os962jrf+uY667rsOuw69zsO+yV7Krscewd6/DsD+x17PrtZu2V7Zbtmu3B7f3uMO5X7oXuve7n7vrvE+9Q76fv5O/p79bv3PAI8EPwefCt8ObxHvFQ8YHxuvH48jbydPK48vvzMvNd84rzwfP89Db0dfS69QL1SvWV9ej2PPaF9sb3CvdR95T3y/f7+C74Z/ig+Nj5FPle+bj6F/pn+qP63Pso+5H8Cvx8/M386fzW/Lv81f0y/aX97v32/eL93/38/i7+Zf6X/r7+5f8l/5MALADcAZMCSgL8A6AEMwS8BT0FtgYmBpMHAAdkB7QH9AgxCHYIvgkHCVQJoAneCgIKDgoWCjAKZQq1CxkLhQvnDDIMaAyRDLUM1wz3DRQNJQ0aDO8MuAyQDIgMmgy+DPcNQg2NDcIN3Q3uDgsOPQ58DsAO+w8nD0MPVg9nD3wPng/XECMQdxDFEQwRUhGVEc0R+BIVEisSPxJXEnoSpBLQEv8TNxNzE6oT1hP7FCAUPxRSFGAUcxSTFLoU4hUMFT8VfhXJFhgWXBaNFrQW5RcnF24XqBfSF/kYJhhXGHsYfxhYGBAXwheKF3YXhRewF+kYHRg6GEIYSRhjGIwYsRjGGM4YzxjNGMwYyxjHGL8YrxiSGGQYLBf6F94X2hfmF/cYAhf8F+cX1RfZF+oX7xfeF88X2xf9GBkYIxgkGCIYFxf6F9MXthetF7QXvBezF5MXbxdiF3IXfRdjFykXBRclF4MX3xfwF6EXJhbPFsEW5hcRFzMXVBdtF2oXSBcoFxwXGRcMFwEXExdNF6sYNhjxGasaFhoQGdYZuBnMGegZ6xnhGd0Z1hm+GZwZgBloGUUZGRjxGNIYshiQGHIYWBg2GAYX1RevF4sXYBcyFxAW/BbeFqsWbRY7FhkV9hXHFZYVdRVoFWUVYBVWFUoVMBTzFJEUJBPTE6YThBNQEwwS0RK1Eq0SnhJ6EkwSKhIXEggR9xHqEeUR2RG2EYoRbhFfETcQ1BAvDzQNuQvDCdYItQi4CXwKTwrXCykLXQtXCwEKgAoQCb0JbAkUCMQIggg2B9MHawcZBuAGtAaRBnMGTwYbBd8FrQWHBWIFOQUPBOsEzQSxBJwEjwSJBIMEeQRqBFUEOwQgBAkD9APhA80DtQOXA3kDYQNQA0EDLQMUAvgC3ALEArcCsgKqApsCjwKIAnsCYwJUAmACfAKHAnUCXAJNAjsCFwHyAeYB9wIcAlcCrgMCAxQCwwIxAZ4BMADuAMoAtQCWAGcAOgAjABL/5P+W/07/L/8y/z3/SP9d/3z/kv+T/4P/cP9g/1D/PP8j/wT+4f66/o7+Yf45/hn9/f3i/cv9u/2r/ZP9eP1o/WX9YP1N/TD9FPz6/Nn8tPyU/H38Z/xO/DT8G/v/++L7zfvG+8X7w/u++737vvu++777wvvG+8j7yvvQ+9X70/vO+9D73/vu+/b7+/wH/Bb8IPwk/Cj8L/wz/DP8Nfw8/ET8SfxO/Ff8Yvxr/HH8efyE/JD8nPyn/LP8v/zI/ND82/zo/PT8/v0I/RX9JP0x/T39S/1c/W/9ff2J/Zb9pv23/cb90/3f/ev9+P4E/hH+H/4v/kD+UP5d/mn+d/6I/pf+ov6r/rf+xP7N/tL+1/7f/uf+7v70/vv/Af8E/wX/Bv8G/wT/A/8C/wL+//77/vj+9v7y/u3+5/7k/uL+3/7Z/tL+zf7L/sj+xP69/rX+r/6k/or+aP5Q/lD+XP5e/k7+Ov4v/i7+Kf4e/hL+DP4L/gv+Bv38/e793v3R/cj9wP24/bH9q/2k/Z39mf2a/Zz9m/2Y/Zf9mP2Z/Zn9mf2b/Zv9mP2V/ZX9l/2Z/Zr9mv2b/Z39o/2r/bT9uv29/cH9yf3W/eH96f3x/fz+Cf4U/h7+Kv47/k7+Yf51/on+nf6s/rX+vP7G/tf+6f76/wn/F/8m/zj/T/9o/4P/nv+3/87/5gADACgAUgB+AKoA2AEKAT8BdAGnAdYCBgI9AnsCugL2AzkDhwPdBDEEfwTOBSEFcQWwBdcF6wX3BgEGAAXbBYYFFgS7BJ8E0AVVBisHQghwCY8KlAuKDHENRA4MDtQPjRAdEH8Q0REmEW8RlRGgEZ8RjhF1EX4RwxIBEcMQ6A/VDwIOew3zDUAMdQuiCrgJvgjpCFQH2AdQBukG/AeVCFMI0QkECRoJKgkmCQkI8QjzCPoI5giuCF0H+Qd+BvcGewYUBbQFSATWBHAEEgOnAyoCuQJyAkwCIgHfAY0BQAD8ALkAcwAs/+b/p/93/1b/NP8D/sb+jf5g/kD+Kv4b/gf94v2z/Y/9ff1k/Sj80vyD/E78Jfvy+637YPsh+v/6+/sB+vr64/rJ+rD6j/pg+jH6Fvoe+kL6efqz+un7GPtF+2n7cvtc+z77OvtR+3D7jPuy++r8JPxL/Fz8ZPxq/HT8jfy5/OD84/y5/Hn8LfvM+1n7APrv+yX7cvu0++z8I/xU/HH8gvyX/LH8xfzN/NP84fzx/Pz9Av0L/Rb9I/0w/T39Sf1P/U/9T/1W/V/9Yf1b/VL9S/1H/UD9Nf0r/SL9Gf0N/QH8+vz4/Pj8+f0B/RP9LP1I/WX9hP2k/cX95v4J/jL+Xv6L/rb+3v8B/x//Ov9Y/3v/ov/G/+gACwA0AF4AhwCvANkBCAE4AWQBjAG0AdcB9gITAjMCVAJvAoMCmAK0AtEC6AL+Ax0DQwNeA2cDagN6A5kDtQPHA9cD7wQJBB0EKgQ3BEQESAREBEQEUgRmBHcEhQSaBLIEwgTHBMoE0gTXBNUE2QTzBRwFNAUrBREFBQURBR8FIgUeBR8FJwUuBTMFOwVIBVgFZAVuBXgFgwWNBZYFmwWcBasFqQWqBa0FsQW0BbkFvwXDBcUFxwXLBc4FzgXOBdAF0wXUBdEF0AXWBeEF7wX7BgMGCgYPBhMGFQYXBhsGIAYoBjEGPAZKBlsGcgaPBq4Gzgb7B0YHtQguCIYIpwioCK0IxwjrCQ0JKwlHCVYJTwk6CR0I+AjFCIgIUgguCBUH+wfZB7IHiwdmB0UHKAcMBuwGyAajBn0GWAYzBg0F6wXLBakFeQUzBOIEmgRsBFUERwQ0BBYD7gPCA5wDfwNjA0MDIwMIAucCuAKFAmgCbgKHAp4CrgKxAosCHQFuALEAE/+k/2T/Xv+W/+0AKwAvAAr/4f/B/57/af8m/uP+n/5L/dr9UvzG/Er76/uy+6b7vvvi+/b76fvB+5H7c/t4+5b7sfuo+3f7NvsB+uD6zPq8+rH6tfrN+vD7Afrl+pr6N/nU+Wn46fhu+DX4YvjV+Tv5XflH+TT5UPmW+d76CPob+jb6afqd+rX6q/qS+nj6W/pC+kn6i/r/+3374/wz/H78yPz0/Nv8c/ve+177Fvrt+qb6Kfmg+Uj5K/kl+RP4/fj4+QD5Afj1+Oj44PjX+Mz4zfjk+QD5DfkL+Qf5Afjy+Nv4xviv+Ib4T/gr+Cr4OPg7+Ev4lvkb+ZX5wvmX+Tj4x/hW9/33z/fB97b3oPeN94L3bPdB9xD29vbt9t32ufaS9nf2aPZc9lL2SPY39hz1/fXe9bn1ivVU9SH08vTE9JP0XfQe89Hzf/My8u7ysPJ18j3yB/HN8YvxRvEE8MXwiPBP8Brv5u+z74LvUe8g7u3uve6R7mbuO+4X7f7t7+3i7dPtwe2q7YrtZ+1G7SftAuzZ7LDsjOxo7EPsHev769rruuuc637rWOsg6tzqnepw6lTqQOot6hbp/eno6dbpvumf6YrpkOmr6cXp0OnW6eTp/+os6nDqyusr64TryOvY643q7+pU6hzqTeqQ6p/qjOqN6qbqtuq56tXrFOtV63frh+uc667rsOu/7AbseOzJ7LnsXOwB6+bsGOx/7PbtUe117XLtee2n7ejuHe5D7nHuqe7S7uDu7u8j73fvuO/I77nvt+/T8ALwNvBt8Kfw3fEP8Ubxh/HL8grySfKO8tLzCPMy817zlPPO9AX0PPR69L/1CPVV9ab19fY99n/2wfcF90X3f/e19+z4Jfhg+Jz43Pkl+Xv51von+mb6nfrj+0f7wvxA/J78xfy7/LD83/1S/dH+Ff4K/d39xv3c/hT+Vv6L/qb+s/7b/0X/9wDIAZACQgLmA4cEIASlBRMFcAXNBjIGnAcBB1sHqQftCCwIbQi1CQgJWwmdCcEJzQnSCeQKEgpgCsMLJQt3C7gL9AwvDGQMkQy5DOEM/AzzDL8MewxNDEkMZwyaDNwNKA1rDZQNpg20DdIOBA5CDoIOvA7pDwcPFw8eDykPSQ+JD+AQOhCJEM8REhFREYgRsxHTEeQR7xIFEi4SZRKbEs0TCBNNE5ATxhPuFBAUKRQ5FEcUXBR5FJQUrxTTFQgVSRWUFeUWLxZnFooWrBbdFx0XXBeUF8kYABgzGFYYYBhKGBQXyBd9F0sXQxdnF6QX3Bf6GAIYCxgmGE8YdxiWGKgYrBimGJ4YnhinGLAYrBiTGGYYMhgIF/IX6xfsF/IX9xfwF94X0xfkGAYYGBgIF+oX2BfSF80XyRfRF+EX4RfFF5wXfBdvF3MXgBeHF3YXUhc1FzIXNhciFvsW7RcfF3oXuherF10XDhb0Fw4XMhdAF0EXUBdoF2wXUxc4FzYXQhc/FyUXAxbwFwgXbhg0GSEZzxoEGegZ0BncGfAZ8RnrGeoZ5RnNGawZkRl5GVgZMhkTGPcY0xinGIUYbhhPGB4X6xfHF6kXgBdTFzYXIxb9FrkWchZNFkgWPxYTFdAVmRWCFYEVfBVmFUEVDhTIFGwUDhPKE6wTnxOAE0YTBBLWEsESshKZEnkSYRJTEkQSMBIgEhgSChHpEb8RohGVEXgRLhCdD5sN/AvcCdwIxgjgCawKcArfCyALUwtaCxYKpAo7CecJkQkzCOAImAhDB9YHawcdBukGvQaVBnAGSQYYBeQFugWZBXMFQQUNBOIEwgSoBJUEjASLBIoEhAR2BGEERAQkBAQD6QPXA8kDuQOdA3sDXANHAzcDJgMQAvYC2QK/ArACrAKqAqEClgKKAncCYAJVAl8CbwJqAlQCSAJMAkcCIwHzAdoB3gH4Ai0CiQLtAxkC4QJaAcQBTwEKAOwA3gDCAIoATQAlABD/7v+v/2L/Iv71/tj+0v7q/xn/Qf9Q/0b/Mv8i/xv/Gf8T/v/+4P67/pP+Z/45/g395/3J/bL9nf2E/WX9TP1E/Uf9RP0y/R39D/z//OL8vPyZ/H/8ZvxM/DP8HPwA++H7yvvB+7/7uvu0+7L7s/u1+7b7ufu9+7/7wfvH+8r7xfu++8H7z/vd++P75/vy/AH8CvwN/BP8Hfwl/Cj8K/wy/Dr8QPxG/E/8W/xm/G/8efyE/I78lvyh/K/8vfzJ/NX84/zw/Pz9BP0O/Rv9Kv02/UH9T/1g/XL9gf2O/Zr9qf26/cv92v3m/fP+AP4M/hj+Jv43/kn+Wf5m/nP+gf6Q/p3+qf61/sP+z/7Y/t/+5f7s/vP++v8C/wn/DP8O/xD/Ef8Q/w//Dv8P/w7/Cf8D/wL/Av8B/vz+9v7z/vD+7f7p/uP+3f7W/s/+xv69/rX+rP6b/oD+af5q/of+pP6i/n/+Vf48/jX+M/4t/ib+H/4a/hP+Cf37/en92f3O/cj9wv27/bT9r/2q/aT9oP2g/aH9oP2e/Z79ov2j/aL9o/2n/a39rf2o/aT9pv2r/a/9sP2x/bP9uf3B/cn90P3V/dr94P3q/fb+Av4L/hT+Hf4n/jL+QP5S/mX+d/6K/p3+sf7B/sv+0/7d/ur++v8M/x3/Lf8+/1H/Zv98/5P/q//F/+H//wAgAEUAbQCXAMEA7AEaAUwBggG3AeYCFAJLAowC0AMOA0oDjwPiBDoEjQTXBRsFYAWiBdkF/AYKBg8GFQYQBesFogVFBO8EtASoBOcFfAZWB1EIVwliCnALegyBDYUOcA8rD7YQMBCuER4RaRGMEZYRiRFwEXARoRHQEasRHxB5EAYPtg9JDrAOBQ1BDDIK3wmnCNkIXAfnB3kHXwe+CFEIugjjCPMJAgkCCOsI0wjNCM4IwgikCHkINgfLB0QGwQZTBecFbQTtBIMELgPWA20DBgK6AoYCUQINAb4BbgEeAM4AggBAAAP/y/+a/2//Q/8N/tT+oP54/lr+Rf4t/gL9xf2R/X/9gf1o/RX8ofw9/AD72fux+3/7Tvso+xX7E/sT+wj67vrL+qP6d/pN+jD6Jvos+j/6Z/qh+uT7JPtY+3X7bftE+x37HvtC+2f7ffuY+878FfxQ/Gz8bfxl/Gn8jfzA/Mv8g/wF+6D7g/uS+5n7jPuI+6D7xvvm/Ab8LPxS/Gz8fvyS/Kj8ufzG/NT86Pz5/QP9DP0Z/Sj9Mv05/UL9T/1a/V/9Yf1m/Wr9af1i/Vn9UP1H/T79Nv0u/SX9F/0J/QD8/vz+/Pz8+/0B/RH9Jv09/VT9cP2R/bX93P4G/jP+YP6O/r3+6v8S/zH/S/9n/4j/q//M/+wADwA5AGYAkgC8AOcBFAFCAW0BlAG2AdYB9AITAjUCVgJwAoACkwKzAtoC/AMWAzMDVANtA3YDeQOIA6YDxQPaA+kD/QQSBCEEKgQ2BEQESwRGBEQEUARmBHsEiwScBLMExwTSBNcE3QTlBOgE6wTzBQEFCwULBQkFDQUXBRwFGwUZBR0FIwUoBTAFPQVQBWIFbwV7BYgFkwWcBaMFqQWsBb8FvQW/BcYFzQXSBdYF2gXcBdsF2wXfBeMF5AXjBeQF5QXlBeIF4wXtBfsGCgYYBiYGMQY2BjYGNAY2Bj0GQwZJBlEGXQZtBoEGlwaxBssG5QcOB10H1QhQCJkInwiICIgIrAjcCQMJIglBCVQJTgk0CRYI/QjfCLQIhAhaCDgIFQftB8QHmwd1B1IHMwcWBvcG1gazBpEGcgZWBjgGGQX5BdMFnQVRBPoErQR8BGYEWQRJBC4EDAPnA8UDqAOLA2oDSAMmAvwCxwKUAoAClAK+AuYC+wLtAqACBwE7AH3//P+2/5f/nP/MABcAVQBsAGkAaABuAGQANf/m/4n/Jv62/jP9oP0M/Ib8G/vX+8D70fv1/A37//vL+4v7Zftq+4f7mvuT+3v7avtf+037J/r5+tn60/ro+wP7CPrg+o36MPnk+Z35PfjL+IH4mfkI+YD5ufmx+ab5y/oX+ln6cPpy+oz6z/sa+0H7Pvsj+wL64PrF+tD7G/uY/BX8Z/yR/LX84vz7/Nf8bvvq+4L7QfsD+qH6Hfmj+Vr5Qfk6+TL5LPkv+TT5Mfko+SH5G/kS+Qn5Dvki+TX5N/ky+TL5NPkq+RL49vjX+Kz4ePha+GH4d/iH+KL48flp+cb5z/mM+TD42/iN+E34LPgm+B/4Bffl98/3uPeT92b3Rvc29yH2/vba9sT2u/a09qv2oPaP9nX2VfY09hD15PWz9YP1WPUv9P/0wvR59Cjz2vOT81TzGPLd8qXycPI48fjxtvF08TXw+fDA8IrwVfAg7+3vuu+G71LvIu727svuo+6F7nfube5d7kHuIe4C7ePtxO2m7YXtWu0p7Pvs2ey+7KDsfuxY7DDsCuvp68nroOtp6yvq9urQ6rjqo+qM6nDqU+o56iHqBOnl6dXp4uoB6hzqJuos6jnqUep66r7rGut+69bsFewd68vrK+qQ6lPqeeqw6rrqruq66trq6Orj6vXrLetl63/rh+uW66rru+vm7Efsu+zu7LXsQ+vy6+/sK+yG7OjtM+1S7VPtX+2T7djuDe4v7lfui+6x7r3uyO7270Xvi++m76Dvm++p78vv/PA28HTwrPDg8RvxXvGj8eLyIPJj8qby3PMJ8zfzbfOn89z0EPRL9JD02PUh9Wj1rvXz9jf2eva79vr3N/dz96736Pgm+Gr4sfj4+UL5kvnj+ir6Zvqm+v77dfv5/GT8mvyd/Jv8yv0u/Zb9xv20/Yz9gf2l/en+Of58/p/+qP7A/x3/zgCuAYICMgLOA2gD+gRxBMkFEwVlBcQGKQaLBuoHRAePB8kH/gg/CJEI5wkuCV8JfQmQCaUJzQoSCmkKuwr/CzwLgAvLDA8MSAyBDL0M5AzXDJMMPwwNDBEMPwyADMgNDQ1EDWQNcQ19DZgNyA4DDj8Odw6lDscO1g7WDtoO/Q9JD64QEBBgEKMQ4REZEUgRbhGMEZ4RqBG8EegSJRJeEpESyxMSE1wTmxPOE/YUERQfFCsUQBRaFG8UghShFNMVEBVUFaEV8RYzFlwWexakFt0XHRddF54X3xgUGDAYNhgnGAIXwxdyFy0XEhcsF2cXnxe9F8UXzBfiGAkYOBhlGIQYjBiAGHEYchiGGJ4YqBiXGG0YORgNF/MX6RfnF+oX7RflF9IXzBfoGBkYOBgsGAQX2Re2F5kXixeWF6cXoRd/F1sXSRdFF0MXRxdSF1EXNhcOFvMW5RbVFsYW2xciF3AXhxdXFw8W7xcLF0AXYRdfF1QXXRd3F4QXeRdsF3AXfRd4F04XABacFlAWZxcYGDgZRhncGf0Z9Bn1GfsZ9xnxGfIZ7RnYGbwZphmQGW8ZShkuGRcY8hjCGJ0YhhhnGDMX/hfeF8kXqBd8F1cXNxcEFrsWfxZzFokWihZQFe8VmxV0FWwVXhUwFOcUmRRTFBcT5hPFE7kTtBOeE2sTKhL1EtkSyxK8EqgSlRKGEnYSYxJQEkASMBIaEgMR7hHXEbARbRDvD/EOOAv3CfII+gk4Cg0KuAr8CxQLMws8Cw4KtgpeCg4JtAlTCPsIrAhQB+EHeQctBvkGywaeBncGTwYiBfQF0AWwBYQFSAUKBNoEuAShBJQEkASQBI0EhwR9BGwEUAQqBAID4wPTA8wDwQOnA4ADWAM7AyYDFAMCAu0C0wK3AqMCnAKcApsClQKHAm4CUQJAAj8CPwItAhMCDQIbAh8CAQHUAbgBtAG/AdsCGAJoApcCfQIjAbUBXAEwAS4BPQEuAOwAiwA9ABL/9f/I/4f/Q/8K/uD+zv7W/vL/Df8X/wf+5v7F/rb+uP6+/rj+p/6S/nr+WP4r/fr90P2x/Zj9f/1i/UP9Lf0m/Sn9JP0W/Qj9A/z8/Of8xvyl/Ij8bPxO/DT8IPwJ++771/vL+8P7ufuv+6v7rfuv+7D7svu1+7b7uPu8+737uPuy+7X7wvvN+9D70/vd++r78vv1+/z8CPwS/Bf8Gvwh/Cr8Mfw5/ET8UPxd/Gn8dfx//Ib8jvya/Kr8uvzJ/Nj86Pz2/QD9Cf0U/SP9Mf09/Un9Vv1m/Xb9hv2S/Z79q/28/c393f3q/fj+Bv4T/h/+Lf4+/lD+Yf5u/nv+iP6V/qH+rf67/sn+1f7f/ur+8/76/v//Bv8P/xb/GP8a/xz/Hv8e/xz/Hf8e/xz/Ff8Q/w//D/8N/wj/Av7+/vr+9/71/vP+7P7i/tb+yv7A/rr+tP6o/pP+hP6L/qf+u/6v/of+X/5K/kX+Rf5B/jr+Mf4m/hj+Cv36/en92/3U/dL9z/3I/cD9u/22/bH9rP2q/an9qP2o/az9sf2y/a/9rf2x/bj9vf28/bn9u/3B/cf9yf3L/c790/3W/dr94f3p/e798v36/gf+F/4l/i7+NP49/kr+Wv5s/n7+j/6g/rD+v/7M/tn+5v70/wH/D/8f/zD/Qv9V/2r/gP+T/6X/uf/T//QAGAA9AGIAhwCvANkBBAEuAVoBjQHCAfUCJAJXApYC3AMhA2EDowPwBEYEmQTfBRYFSAWABb4F9AYSBhwGIQYqBikGDgXVBYUFJwTNBJYEoAT4BZUGagdqCIMJoQrAC+QM/w33Dr0PYA/4EIoRBxFiEZMRlBF3EWgRgxGpEZwRVhEWEQIQ9BCwEDoPug8dDhwMrwtCCkcJuQk7CKsIQwg8CHoIswjKCNQI4AjgCMwIswijCJQIggh0CGsISgf0B3YG+AaOBiMFnwUTBKEEUwQRA8IDaQMUAskCfgIxAeIBjgEzANoAjgBSAB//7P+2/3//Rv8P/t7+tf6S/nX+Xv4//gn9vv2E/XX9ev1a/Pj8cfv8+7L7h/tm+0n7Mfsj+x77Ifsj+xj6+vrM+pb6ZvpK+kb6TPpM+k36Z/qi+uv7LPtZ+237YPs5+x77L/tj+4z7l/uc+778AfxI/HP8dvxi/Fr8gPy8/MT8Yvu++0v7T/un+/r8FvwO/AX8CPwR/CL8OvxW/Gz8ffyP/KH8rvy8/ND85/z5/QX9E/0n/Tn9Qv1E/Ur9Vv1k/W79dP13/Xj9dP1t/WP9WP1L/T/9OP00/Sz9Hv0P/Qr9Df0Q/Q39Cf0L/Rf9J/04/U39Z/2F/aj90f3//i/+Xf6L/rz+7f8W/zT/T/9s/4z/rP/J/+cADAA2AGYAlQDDAPABHQFJAXMBlwG4AdcB9gIWAjkCWgJxAoAClAK3AuYDEAMvA0oDZwOAA4wDkAOcA7YD0gPnA/UEBQQUBB0EIwQtBD0ESQRMBE4EWgRyBIoEmQSmBLgEzATcBOYE7QT0BPkE+wT7BPwFAQUJBRIFGQUaBRYFEwUWBR4FJQUrBTYFSQVfBXAFfAWJBZgFpAWrBbAFuAW+BdMF0QXSBdkF4gXpBewF7wXwBe8F8AX0BfkF+QX1BfMF8gXyBfIF+AYFBhYGJgY2BkYGVAZbBloGWAZbBmIGZwZqBnAGfwaSBqMGsgbFBtoG8QcXB2QH3QhZCJ0IlghzCG8ImgjWCQQJJwlNCWkJaglPCTAJHAkLCOwIvgiNCF8IMQgDB9kHsweNB2YHQQchBwUG6gbOBrEGlAZ3BlsGPwYgBfgFvwVxBRkEzASaBIAEcARcBEEEIgQFA+kDzAOrA4IDVgMtAwUC3QK7ArACxQLuAxIDFgLlAnABwAEBAG0AHgAB//P/7f//AC4AZQCOAKUAtwDEAL0AlwBT//j/jP8R/oj99f1b/Mb8Svv5+9v74/v6/An7+/vQ+5z7fvuA+477j/uF+4j7qfvP+8/7m/tN+wv67Prt+vn69/rR+or6P/oI+dj5j/kp+Nr44flF+b/6AvoC+fn6I/p4+sD61frQ+uT7JPtx+5/7ovuP+3X7WvtK+2P7u/w8/K/86Pzx/PX9Cf0S/Of8g/wP+7L7Z/sM+pH6Dvmr+Xj5Z/le+Vb5VPlZ+V/5YPle+Vz5V/lO+Uj5T/lf+Wb5X/lW+Vr5YPlX+Tn5Fvj2+ND4pfiH+IT4jvid+Mv5OfnJ+iX6Efmo+Tn49PjN+LH4n/iW+Ib4ZPg9+CL4Dvfu98f3p/eS93v3W/c99y33I/cW9wX28/bg9sj2qvaL9mr2QvYU9ef1wPWY9WX1I/TW9If0PfP787vzfPM/8wjy1PKd8mLyJPHm8arxcPE28PzwwfCI8FPwIO/r77fviO9d7zTvD+747u/u5e7N7qbufO5Z7jzuIe4F7eHtsu177UztLe0Z7QLs4ey37IfsW+w17BPr7Ou664PrVes06x3rBerp6snqqOqK6mzqTeo16jHqSupt6oPqheqA6oPqleq86wHrYuvK7CXsXexX6/rrV+rB6obqo+rN6tXq0urs6xLrG+sJ6w7rPOtx64fri+uZ67br4ewn7Izs5Ozo7I3sHevo7ADsQOyL7NbtE+0z7TztUu2L7dHuAO4a7jnuZ+6O7p/ure7X7x7vYu+F74zviu+R76fvz/AI8EjwhfC98PnxO/F+8b3x/PI+8n3ys/Li8xHzRvN987Lz6PQm9Gz0tPT49Tf1dfW19fj2O/Z79rf29fc193L3rffu+Dj4hPjH+QX5SfmY+eT6JPpf+rD7JPut/CP8Y/xv/G78ifzG/QT9IP0Z/RD9Jf1c/an9/f5K/n7+lv6x/wX/rQCKAWQCFwKuAzwDvQQgBGQEogTxBU8FrAYEBmEGwAcRB0oHewe4CAgIXAimCOgJIQlOCW8JkwnHCgYKQQp3CrYLBgteC64L9wxGDJUMwQynDE8L7wvBC9gMHAxtDLYM8Q0cDTUNQA1IDV0NhQ26DfIOJw5XDn4OkQ6QDpIOtw8KD3YP2hAqEG4QrBDfEQQRIhFCEVwRbRGCEaoR4hIbElASixLRExwTYROeE9IT8hP8FAEUEhQrFD8UURRuFJ0U1RUQFVQVoBXkFhUWPBZsFqoW7BcwF3kXwxf5GA0YBxf2F94XsBdoFxsW7Rb0FycXYxeKF5oXoBexF9IYBBg8GGYYchhlGFQYVRhpGIEYjBiBGF8YLxgAF98X0BfOF9QX1xfLF7QXrxfQGAgYLBghF/YXyBegF4EXcxd4F3gXWhcuFxwXKhc1FyMXCRcHFxYXFBb3Fs8WqxaPFokWtBcJF1IXUxcUFtgW1RcHF0EXXhdgF10XZxd6F4YXiReLF5IXlxeJF1kW+BZjFcsVnxY8F4YY5BnFGg0aChoCGgIZ/hn5GfgZ8RndGcYZtxmmGYQZWRk5GSIZARjXGLUYoBiBGEsYEhfvF98XxReYF2gXOhcDFsUWnBaiFsAWvRZ6FgwVqBVxFVoVPRT6FJUULxPmE8ETtxO7E8ITwROrE3oTPhMMEu8S5BLcEs4SvRKtEqESlRKEEmwSVhJLEksSRBImEfMRsxE9EDUOVwv3CfkJLQmZCn8LFgswCxoLEwsPCu4KswpyCisJ0AlrCQ8IvAhgB/cHkwdGBwsG1wapBoEGWgYvBgYF4gW9BYkFRwUHBNcEuQSrBKsErwSsBJ4EkASHBHwEYgQ2BAgD5gPXA9IDxwOqA34DUgMvAxYDAgLxAuECzQK1Ap8CkwKRApECiwJ6Al0COgIfAhACBAHvAdgB0QHYAdUBugGWAYIBfwGAAYYBnQHFAeQB4gG9AYkBYQFeAYoBxwHUAYcA+wB2ACgABf/l/7T/ef9I/yT/Cv74/u3+6/7o/tX+rP58/lz+Vv5d/mD+XP5V/kn+MP4L/eT9wf2f/X79X/1E/Sz9F/0J/QL8/Pz0/O/87/zt/N78xfyr/JH8c/xU/Dn8JfwS+/z76Pva+837vvux+6z7rvuv+677rPur+6v7rfuw+7L7rvuq+677ufvB+8P7xPvN+9f73vvh++j78/v9/AH8BfwL/BX8IPwr/Df8QvxO/Fz8avxz/Hn8gfyQ/KP8tPzD/NP85Pzx/Pv9Bv0W/Sf9Nv1D/U/9Xf1r/Xr9iv2Z/aX9sP2+/dD94f3w/f7+Df4c/ij+Nf5G/lj+aP52/oP+j/6b/qb+s/7C/s/+2P7j/vD+/P8D/wj/D/8Y/yD/I/8k/yf/Kf8p/yj/Kf8q/yf/If8c/xr/GP8T/w7/Cv8G/wD+/P77/vv+9v7q/tv+zv7G/sP+xP7B/rX+p/6i/qX+of6P/nX+Y/5f/l/+W/5T/kr+Pv4u/h3+Dv4C/fX96f3k/eT94/3c/dH9yP3C/b39uP21/bT9tP23/b39wv3C/b79uP25/cD9yP3M/c790f3X/dz94P3k/en97f3u/e798/39/gT+CP4N/hn+K/48/kf+Tf5X/mT+dP6D/pL+o/61/sT+z/7a/uf++P8J/xj/J/82/0f/Wf9s/4L/mP+r/7v/z//qAAwAMgBYAHwAnwDFAO8BHAFGAW4BmwHPAgUCNwJpAqIC5gMwA3gDvQQFBFEEngThBRUFOwVkBZsF1gYDBhsGKAY4BkgGSQY2BgwFyQVrBP4EnwR0BJkFHgX3BwEIFAkmCkULeAyfDZUOUQ7yD5oQUhD+EXMRlhF5EVsRaRGQEZwRiBGFEawRzRGqEU0Q6RB6D7kOiw1EDEgLnwr3CioJawj6CNUIygi+CLkIvgjACLgIrQifCIcIZwhXCFcIRgf9B4kHFga2BlIF0QVCBM8EhgRSBBcDygNwAw8CsQJZAgcBrgFNAO8AowBrADoABP/G/4L/P/8J/uP+xf6i/nz+W/45/gX9vf2A/Wj9YP03/NX8VPvg+4z7U/st+xX7CPsF+wv7G/sq+yn7Dfrc+qT6e/pv+nn6g/p9+nX6jfrI+wz7Pvtc+2v7aPtW+1H7cvus+9P70Pu7+8L78vw3/G38e/xm/FX8dfy5/Nv8nfwe+8T70vwl/GT8Yvw7/CT8MPxQ/G/8gvyF/IL8hfyR/KH8r/y//Nb87/0D/RL9I/04/Un9UP1S/Vj9Zf1z/X79hv2L/Yr9hP17/XH9ZP1V/Uf9P/08/TT9Jv0Z/RX9G/0f/Rv9Fv0W/R39J/02/Uv9Zf2A/Z79wv3w/iD+UP6B/rX+5/8P/y3/R/9l/4T/of+8/9wAAgAuAF8AkgDEAPMBIAFMAXQBmQG5AdkB+gIbAjwCWwJzAoUCmgK8AusDGAM3A08DZwOAA5EDmQOkA7kD0QPlA/MEAAQNBBcEHQQoBDkESgRXBGEEcASHBJ8EsAS9BMoE2gTpBPQE+QT7BP0E/QT8BP0FAQUKBRIFFQURBQsFCwUSBRwFJQUuBT4FVQVsBX0FigWZBasFuQW/BcMFygXRBeUF4wXiBecF7wX2BfoF/QX/BgAGAwYIBgwGCQYDBf4F/gYBBgYGEAYgBjIGRAZWBmgGeAaBBoMGhQaIBowGjAaKBpAGngauBrkGwgbSBugHAQchB2EHzAhDCIsIjAhuCHEIpwjvCSQJSglxCZUJnwmKCW0JVwlDCR8I6givCHYIQQgQB+gHxgekB38HWQc6ByIHDwb7BuMGxAahBn8GYwZHBiAF5QWXBUAE9ATABKMEjwR3BFgEOgQhBAoD7gPHA5IDWQMpAwwDAAL4AvMC9QL/AwQC5wKVAhEBdgDtAJYAcABgAE0ANwAxAEwAfgCxANYA6wDzAPAA3gC2AG4AB/+K/wP+cv3P/SL8jvwy/BL8Fvwe/Bn8A/vg+777q/ur+637o/uZ+7H78fw1/EX8C/ul+0L7A/ro+uP63PrA+ov6Ufol+gT50vmE+T/5PPmO+f36P/o/+jL6WPqz+w37M/sz+z77bfut+9r76/vs++b73Pve/Aj8avzm/UX9Y/1S/UL9SP1I/Rz8vfxM++T7e/r/+nb6Afm8+aL5mfmM+X75efl++Yf5jvmP+Yz5hfl8+Xr5hPmQ+ZP5ifmA+YP5ifl8+Vv5NvkZ+P343fi++Kr4m/iX+MT5Qfnr+lz6S/nU+Vf5F/kN+RD5C/j8+OH4uviU+Hr4ZfhJ+Cj4Dvf89+X3yfev96H3lfeB92X3TPc39yH3B/br9sv2pPZ39kz2JvX89cX1gPU09Or0pfRi9B/z3fOh82vzOfME8svykfJY8iDx5vGp8WvxLfDy8LvwhvBQ8Bzv7u/G76Hvgu9v72PvUu8x7wPu1u6z7pbufe5i7j/uDO3T7aPth+127WHtPe0N7Nvsq+yC7F/sOewM693rs+uU63nrXOs86xrq+OrX6rfqm+qP6pzqvurg6ujq1uq/6rfqx+rx6zrroOwR7HHspeyR7CXrf+rv6rjqz+ry6vrrAusm603rSuso6yDrR+t765Lrleun69bsGuxq7Ljs3Oyx7Evr9evo7BnsWOyR7Mjs++0b7S3tTe2K7crt8e4C7hruRe5v7ojunO7D7v/vPO9l73jvf++F75Hvre/d8BzwXfCa8NfxF/FY8Zjx2fIa8ljyjvK/8vDzIvNU84jzwfQB9EX0i/TO9Qz1SPWF9cT2A/ZA9nv2ufb69zn3dve5+AX4UfiR+Mj5BflP+Zr52PoO+ln6yvtR+8f8C/wh/Cb8N/xZ/H38lfyn/MP89f03/X79xv4M/kn+d/6p/wf/qgB9AVAB/QKKAwYDcgPBA/cELwR/BN4FNgWFBdgGMQaABr4G9wc9B5AH4QgpCHIIvAj7CSgJTAlyCZoJvwnqCiwKhQrlCz0LlQv1DEsMbQxBC98LhwtvC6EL/QxcDKUM1wz2DQcNDQ0RDR0NOg1oDZ0N0g4EDjAOTA5UDlsOgQ7SDzYPkA/aEB0QWxCJEKgQxhDxER4RPhFWEXcRpxHeEhgSWBKdEuITJBNmE6ETxRPME8oT1BPqE/4UDxQsFFwUmBTTFRAVURWMFb0V7xYvFnsWxRcJF1MXnxfWF+QX0Re7F6sXkhdcFw4Wyxa5FtsXGRdQF3AXfReLF6cX1xgPGDoYRxg9GDMYNRhAGEYYRBg5GCQYARfYF7YXoheeF6UXqRedF4cXgxekF9kX9xfrF8UXoheGF28XZBdfF0cXEBbhFuwXJBdCFxwW2hbBFt0W/xb8FtgWpRZ1FmAWgxbZFyYXNBcMFukW8RcWFzcXSRdXF2UXbxdzF3YXgReRF5kXkRd8F1IW+BZWFZwVThXiF0EYwhm3GgIZ+xn4GgYaDRoIGgEZ9RnfGcgZvBmwGZEZZBk/GScZCxjnGMgYtBiYGGUYKhgBF+oXzhehF20XPRcLFtkWtxa3FsgWxBaRFjkV3RWWFWUVMhTlFHwUDRO5E5ATjhOjE7wTxROyE4QTTBMfEwUS+xL1EuwS3hLTEs4SyxK9EqASgxJ7EoQSgxJkEjQR+hF+EE4OOQu5Cc0JNgnRCsoLXQtnCzcLDQrvCssKowp4Cj0J5Ql9CR4IzQh3CBUHswdgBxoG4AavBoYGXwY1Bg4F6QW+BYYFSAURBOgE0wTTBOUE8wTnBMMEoQSSBIgEbwRCBBID7wPeA9EDvQObA3ADSAMqAxMC/gLrAtsCzAK6AqgCnAKVAo4CgQJsAlACLQILAfAB3wHTAckBwQG3AaABfgFgAVEBTgFKAUYBSQFVAWUBcAFyAWkBYwGAAdMCPAJoAhwBcAC/AFEAIQAA/87/kv9k/0f/Lf8I/t/+xf67/q/+j/5e/jX+IP4b/hn+F/4T/gj98/3c/cz9uv2X/WX9PP0q/SH9EPz1/N380vzR/NP81vzU/Mv8uvyn/JH8d/xc/EP8L/wc/Aj79vvn+9n7yPu7+7T7s/ux+6v7pvui+6H7ovum+6j7p/um+6v7tfu8+777v/vF+8370/vW+9z75Pvq++377/v1/AD8Dvwd/Cj8MPw6/Ej8V/xg/Gb8b/yA/JT8pfy1/Mb81/zk/O78/f0R/SX9Nf1D/VL9Yf1t/Xv9jP2e/av9tf3C/dP95v32/gX+Ff4k/jH+Pv5O/mD+b/5+/ov+mP6k/q/+vf7L/tb+3f7n/vX/Af8J/w3/Ff8e/yb/Kf8r/y7/L/8u/y7/L/8w/y3/KP8l/yP/Hf8V/xD/Dv8L/wT+/v78/vv+9v7r/t7+0/7M/sr+zP7O/sj+vP6r/pn+h/52/m/+cv53/nT+af5c/lL+Rf40/iP+F/4O/gT9+v30/fP98/3s/d/90/3L/cj9x/3F/cP9xP3H/cz90P3Q/cz9xv3E/cj90v3b/eD95P3p/e798v32/fz+A/4G/gj+DP4V/h7+I/4o/jP+Q/5U/l7+Zv5x/n7+i/6V/qL+s/7H/tj+5f7w/v3/C/8b/yv/O/9N/17/b/+B/5T/p/+7/8//5wAFACgASwBwAJMAtADXAQABLwFcAYQBrQHcAhMCSgJ/ArYC9QM8A4cDzwQSBFMEkgTPBQUFMQVYBYQFtwXmBgoGJQY/BlYGYwZlBmEGTgYbBbkFNwS9BH0EoQUwBggG+AfsCPQKHwtPDFENEA2uDmkPWhBdEScRgRF2EVERVRF8EZcRlhGfEdASAxH4EagRRhDrEHEPuQ7fDhoNZgyWC50KrQn4CXwJGwjLCJsIjAiRCJ4IsAi7CKsIhghpCGIIUAgPB6MHNAbTBnAF9wV2BQ8EygSWBF4EFgO8A1QC6wKMAjYB2wF2ARUAxgCJAFIAFv/P/4L/OP8B/uL+yP6e/mj+N/4P/eH9pP1q/Un9M/0I/Lf8Tvvm+4n7PPsF+uX61vrW+uj7Dvs0+0H7K/r/+tX6vfq8+sb6yfq9+rr61vsP+0b7Zvt4+4f7kfuS+5r7v/v0/BT8Cvvr+9379Pwn/Fv8dvxw/GL8efy4/PH87/y+/Jz8rfzK/LT8ZvwZ/Az8S/ys/PX9Avzd/Kn8i/yP/KP8uPzO/Oj9A/0Y/Sn9Of1L/Vf9XP1g/Wr9eP2E/Y79l/2f/aD9mf2M/YD9dP1n/Vn9Tf1F/Tz9L/0i/R79IP0i/SD9Hf0d/SL9K/04/U79aP2B/Zn9t/3f/g7+QP51/q3+4f8J/yb/Qf9d/3n/kv+t/8//+AAlAFYAigC+AO4BHAFIAXEBlQG2AdcB+AIZAjgCVwJzAosCoQK/AucDEAMtA0ADUwNqA4ADkQOgA7QDyQPbA+kD9gQGBBUEIwQwBEEEVQRpBHoEigScBLEExQTWBOIE7QT3BP0E/wT8BPkE+QT6BPwE/wUCBQUFBQUFBQUFCQUQBRkFIgUuBUEFWgV0BYgFmAWrBb8FzgXUBdYF2wXiBfgF+gX5BfsGAAYFBggGCwYNBhAGEwYYBhoGFwYRBg0GEAYXBiEGLQY9BlEGZgZ6BowGnAanBq8GtQa4BrcGsgatBq4Gtga+BsUGzwbjBwAHGgcxB1sHrwgbCGsIgAh3CIoIzgkgCVkJewmdCcEJ1QnMCbMJlwl1CUAI/Ai3CHgIQAgOB+cHygewB5UHeQdiB04HPgcwBxwG/gbYBrQGmAZ8BlIGEQW/BWcFGQTjBMMEsASYBHgEVgQ7BCYEDQPnA7ADcgNCAzEDPANIAz0DHQL1AsoCiQIoAbYBUgERAPEA3ADBAJwAewBvAIMArwDgAQUBGQEkAS8BOAEsAPgAmwAq/7P/LP6B/br9BvyZ/Hf8dvxt/E78KPwI+/D74/vf+9v70fvP++78Mfxy/ID8RfvY+2b7Efrj+s/6wvqr+oT6WPo3+iL6B/nX+aX5nvnc+j36f/p/+mf6e/rQ+zb7c/uE+477r/vh/BL8Ovxa/HL8fvyQ/MX9JP2N/c/91f23/Z39mf2S/WX9CPyN/AX7dfrg+lv6APna+dL5zPm8+an5ovmo+bT5u/m5+bH5qPmi+aT5rvm5+b35t/mw+bD5r/me+Xz5WvlD+TP5H/kJ+Pf44fjN+Nr5Mfm++i76NPnZ+XL5QvlJ+Vv5XPlI+Sn5B/jp+NL4u/ie+ID4avhb+EX4KfgS+Af3//fu99P3uPeh94n3b/dS9zH3CPbb9rH2ivZe9iP13/WX9VP1D/TK9IT0QvQJ89bzpPNu8zTy+/LF8o3yUvIU8dbxmvFg8Sfw7PCz8H/wVPAx8BPv+u/m79Pvt++O72DvNu8T7vPu2O6+7pvuZ+4s7f3t4+3T7bntj+1d7Svs/uzW7LHsi+xg7DXsDuvs68vrqOuG62TrQusg6wLq7+rw6wnrLetE6zfrD+ro6tzq8Osj63Pr3+xW7L3s7+zP7FTrquse6uvq/usd6ynrOutj64TrdetG6zTrWOuL66LrqOvE7AbsWeye7MDsrexm7BDr5uv+7Drsb+yW7L/s6+0M7SPtR+2B7bvt2+3n7fvuJe5R7m7uhO6n7tvvFO9B71/vb+91733vke+67/TwNfB28LXw8/Ey8XPxtfH28jHyaPKd8tDzA/M082jzofPd9Br0WPSZ9Nr1GfVV9Y/1yPYA9jn2ePa99wT3SPeN99f4Ifhg+Jb4z/kU+Vr5kfnB+gT6avrk+0/7k/u2+8376PwJ/Cz8Ufx8/LL88v00/XL9qv3i/h7+Y/64/zL/2ACdAVgB7wJlAssDIwNlA5UDzAQcBHsE0gUbBWIFrwX4BjoGggbWBy8HfAe9B/4IRAiFCLcI4gkJCSsJSglzCbcKEQpuCsYLJAuIC9YL5AurC1QLGwsmC3AL2Qw9DIcMsgzHDNAM0gzSDNYM6g0RDUMNeQ2uDd8OBQ4bDi8OWQ6gDvMPPA95D7UP7RAYEDcQYRCeEOEREREvEUwReBGxEe4SLhJtEqgS5BMmE2YTjxOXE5MTmROqE7kTxBPfFBQUWRSdFNoVERVBFW4VqBX3FlAWoBbkFykXcBekF68XmBd/F3YXcBdPFwoWuRaKFpQWyBcEFywXPxdNF2gXlBfFF+YX7xfoF+YX6xfsF+EX0hfHF78XrxeUF3gXZBddF2QXbRduF2YXaReGF64XvxeuF5AXeBdkF08XPxcuFwUWwhacFscXKBdaFyQWwRaUFrkW8xcJFvIWwRaHFl4WaBasFwEXNRdFF1AXYRdmF1YXSRdWF3EXehdvF2cXdheQF5kXiRdvF1AXBBZmFZ0VNxW3Fw0Yhxl2Gb4ZxRnhGg0aIRoWGgUZ+BnlGcwZuhmuGZYZcRlPGTcZHRj5GNQYuhihGHkYRRgXF/QXzhehF3MXShcdFukWuRadFpgWmBaIFlkWDxW3FWMVFxTLFHIUERO8E4YTdROGE6kTwxO+E5kTZhM7EyITFxMREwsTBBL+EvwS+hLtEtEStRKsErASoxJ8Ek4SExF6EBANxgtDCYsJMQnoCtwLbQuEC14LKgrxCrwKmAp+ClAJ/QmVCTcI5giTCDIHzQdwByMG5AaxBoQGWAYvBgsF5gW6BYgFWwU2BRYFBAUNBS0FQAUnBOgErgSSBIgEcgRJBB4D/QPjA8gDqAOCA1sDOgMlAxYDBgL1AuMC1ALEArYCqwKiApICewJhAkgCKgIFAeIBzwHRAdsB2QG/AZUBbAFRAUMBOQEtASQBIgElAS4BPgFQAVQBUgFuAckCQwKEAkYBnQDnAG8ANQAI/8X/ef9E/yv/Gf71/sT+nf6P/or+ef5W/i/+EP36/ev94/3a/cb9rf2k/bD9s/2P/Uz9Gv0V/SX9H/z5/M/8ufy3/Lr8uvy5/LX8rPyc/Ij8cvxd/Er8Ofwm/BP8Afvy++T71PvH+777uPux+6n7ofud+5v7nfuf+6H7oPuh+6j7tPu8+777wPvE+8v70PvT+9f72/vf++D74fvk++77/vwO/Br8H/wm/DT8RPxN/FP8XPxt/IH8kvyj/Lf8y/zY/OP89P0K/SD9MP1A/VL9Yv1t/Xj9if2d/az9uP3E/db96v37/gr+Gf4o/jb+RP5U/mT+dP6C/pL+of6u/rn+xv7T/t3+5P7t/vr/Bf8M/xH/Gv8k/yr/Lf8v/zH/Mf8w/zH/NP80/y//K/8q/yj/IP8X/xL/Ev8P/wf+/v76/vj+8v7o/uD+2v7U/s3+yv7I/sT+u/6s/pr+iv6A/oD+hf6E/nn+af5d/lX+Sv47/i3+Iv4Z/g/+A/38/fr9+v30/ej93f3X/dn92/3a/db90/3V/df92f3Z/dn91/3V/dn94v3t/fT99/38/gH+Bf4I/gz+Ff4f/iX+Kv4w/jj+P/5G/lH+YP5t/nj+gf6N/pn+o/6r/rb+xv7Z/uv++/8J/xX/If8s/zr/TP9f/3L/gv+S/6P/tf/I/+D//QAeAD4AXwCCAKcAyQDpAQ0BOgFqAZUBvAHnAhsCVQKPAskDBQNGA4sD0QQRBEcEdgSnBN8FFwVLBXkFpQXOBfUGGgY+BlwGbwZ7BosGnAaaBm4GEAWTBR4E4gUBBXgGKQb8B/AJCQooCxsLzgxrDTkOWQ+jELsRVhFxEVMRSRFkEXwRdxFxEZERxRHQEZERJRC9EGQQCQ+dDxoOcw2cDKwLzQsPCloJnwjzCIEIUghUCHEInQjCCMcIqgiLCH4Ibgg5B9kHaAb4BocGFQWtBVwFHQTgBJ0EUgP9A5gDLgLMAnICEwGsAUYA8ACoAGcAJP/a/4r/O/8A/t3+v/6M/kb+BP3S/aL9a/04/Rj9A/zj/Kr8XPv/+5f7Mvrl+rn6qPqv+tP7EPtL+2L7Uvsy+xz7GPsb+xr7D/sD+wf7JvtW+377lfuo+7v7yPvI+8z75fwO/Cn8J/wS/AL8BPwa/ED8Zfx4/H/8k/zB/Pf9G/0v/Uj9X/1G/OD8Tfvj++f8Wfz2/WP9bP0g/MD8ifyJ/Kb8xfzf/Pn9E/0p/Tv9TP1c/WX9av1x/X79jP2X/aD9qf2y/bX9rv2g/ZL9hv17/W39Xv1Q/UT9OP0s/ST9If0f/R/9IP0k/Sz9NP1C/Vb9b/2G/Zz9tf3Y/gT+Nf5r/qX+2/8F/yX/Qf9b/3P/iv+k/8f/8QAdAEwAfgCxAOABDQE6AWUBigGrAcwB7wIQAi8CTgJuAosCowK8At0DAAMdAy4DPQNTA28DiwOkA7kDzQPeA+sD+AQIBB0EMQRBBFAEYwR6BJAEoQSuBL4E0gTmBPME+QT9BP8E/gT6BPcE9gT5BPsE/AT7BPoE/AUBBQgFDgUTBRoFIwUxBUUFXwV7BZUFqgW9Bc8F2wXgBeEF5gXwBg4GFwYaBhsGGwYbBhsGHAYdBiAGIgYlBicGJgYkBiQGKQYzBj4GSwZbBm8GhQacBq8GvAbIBtMG3AbfBt0G2AbUBtAGzgbOBtUG5Qb/BxsHLwc6B1QHmAf+CFkIhQiSCLAI9wlJCYEJngm6CeAJ/An+CecJwwmPCUgI+giwCHEIOggKB+QHywe5B6kHmweOB34HbQdfB1EHOQcZBvkG3ga/BowGQAXmBYsFOwUBBOIE0wTBBKEEeQRWBD4EKgQOA+UDsgOLA4EDkgOfA4gDSQL3AqICSAHoAZYBaAFeAVsBRQEbAO4AzwDIANgA9wEZATUBSgFfAXsBkwGTAWgBGwDFAHAAAv9Z/nz9qv0m/Pb86PzK/JX8YvxB/C38HvwR/Ar8CvwW/DX8Y/yG/H38PPvU+2v7Gfrn+sn6svqa+n36YvpP+kX6PPol+gb5/vou+of6zfrT+rD6qvrm+0X7j/ux+8P74fwP/En8jfzV/RD9Nf1T/Yb91f4j/k3+R/4n/gf98P3U/Z79Qfy6/BX7ZPrG+lT6GvoJ+gb5+/no+df50vnY+eL55vni+dn50/nS+db53fnl+ev56vnk+d350Pm3+Zb5evlt+Wf5Yflf+Wn5c/lt+V/5a/mh+d757fnE+Y/5efmF+ZT5j/l5+V/5S/k++TL5G/j6+Nj4wPiu+Jb4ePhh+Fr4XPha+E34N/ga9/v32/e795f3bfdA9xb27fa+9oT2RPYD9cL1ffU19O/0r/R49Eb0EvPX85rzYPMp8vPyuPJ78kHyCfHQ8ZLxUPEU8OLwvfCg8IfwcPBZ8DvwFe/q78Dvmu9070/vL+8T7u7uue5+7lLuPe4s7g3t3u2q7X3tVe0w7Qrs4ey27IzsZOw+7Bbr7+vL66vrjOtt61TrS+tX63HriuuN62zrNesI6v7rHOtb67TsJeyh7QntNO0F7H7r0utN6x3rL+tL61rrceuZ67PrnOto61Prc+ui67rryOvz7EPsley/7LHseOww6/zr/Owp7F/sg+yb7Lvs4+0D7RvtP+127artxu3P7eDuBO4u7k3uY+6A7q3u5e8Z70DvVe9f72rvgO+m79rwF/BX8Jjw1vET8VLxkvHQ8gnyP/J38q/y5vMa81DziPO/8/P0KPRk9KX05fUg9VX1iPW79fH2MvZ+9tD3Hvdo97L3+fg4+G74o/jf+R75Uvl/+bn6Efp8+tv7HvtL+3P7mvvA++f8FvxS/Jb82/0e/V39lP3J/gr+Zf7f/3QAHQDKAWQB3AI5AowC2gMbA08DhwPUBC4EggTHBQYFRwWKBdAGIAZ8BtQHGQdPB4MHuwfwCCAIUgiHCLoI6AkfCWgJtwoCCkwKpgsGC0QLQQsKCtMKxwrxC0ILowwADEkMdAyEDIkMigyJDIkMlAyxDOANFw1ODYINsA3VDfoOLA5rDq0O5Q8YD0wPfw+pD9AQBxBTEKEQ2hD+ESIRURGJEcER9xIqEl4SmRLgEyYTVRNlE2cTbhN7E4ETgxOYE80UGRRlFKUU2RUHFTcVdhXLFikWfhbEFwQXQRdvF3sXZxdOF0gXThdDFxEWxBaDFnIWjRa4FtcW5RbyFw0XNRddF3MXdBdvF28Xdhd0F2cXWRdVF1UXTxc/FywXHRcYFx8XMxdKF1sXbReGF5sXmheEF2oXVhc+Fx8XAxboFrcWdBZaFqAXHBdYFxgWoxZtFpUW2Rb3FuoWyBaaFmwWYBaNFuEXNheCF8YX7hfbF5cXWxdUF3EXfxdvF18XbheNF5gXhRdrF1IXERZ0FZgVCxVbFocX7RjiGUsZgxnPGhcaLBoTGfoZ9BnsGdYZvBmqGZgZfBlfGUgZLxkIGNsYtxidGIAYWRgqF/sXzBehF30XWxcvFu8WqRZyFlkWWBZbFkQWAxWeFTAU0hSFFD4T+BO5E4sTcxN6E5sTwRPQE7kTjBNhE0QTNhMwEy4TLhMrEycTHxMPEvgS6BLkEt4SvRKEEkUR6xEWD2oNEArPCYIJcAogCuELUwt+C38LWgsSCskKoAqPCmwKIAm7CVwJBgisCEQH1wd0ByQG5gawBnwGSgYgBf4F2wWzBZAFegVnBUsFMgU1BVMFYwU9BO8EqQSJBH4EbARNBC0EDgPsA8UDngN5A1QDMwMbAxADCgMCAvYC5wLWAsUCtgKoApECcgJTAjsCIwH/AdYBvgHHAeAB5gHIAZYBbwFfAVkBSQEyAR4BEgEMAQwBGAEpASoBGgEdAVsBwQIBAdoBWADHAGMAKv/y/6L/S/8Q/vn+8f7b/rL+h/5t/mD+U/4//iX+B/3p/dL9xf22/Zb9cv1s/Yn9nv1+/TT9AP0H/Sr9L/0H/NP8tfyq/KP8m/yZ/Jz8mvyM/Hf8YvxT/Ef8O/wt/B38C/v6++r72vvN+8P7ufuv+6f7ofue+537nfue+537nPuf+6f7svu6+737wPvG+8370vvU+9f72fvc+9373vvg++b78/wD/A/8FPwb/Cn8OvxE/En8Ufxg/HH8g/yX/K/8xfzT/N387f0D/Rj9Kf06/U79YP1r/XX9hP2X/aj9tv3F/dj96/37/gn+GP4o/jj+R/5W/mX+c/6D/pT+pP6x/r3+yf7W/uD+6v71/wD/Cf8P/xX/Hv8o/y7/Mf80/zX/NP8z/zb/Of84/zP/Lv8t/yv/JP8c/xn/GP8U/wr/Af77/vb+7v7n/uP+4P7b/tL+yP6//rf+sf6r/qX+nv6Y/pP+jf6C/nP+Zv5e/lj+T/5D/jj+Lf4h/hT+Cf4B/f79/v36/fL96v3p/e798/3w/ef94f3g/eH94f3k/ej97P3t/fL9/P4I/g7+D/4T/hv+IP4f/iD+KP42/kD+Rf5J/k/+V/5g/m3+e/6J/pX+n/6q/rT+vv7H/tP+4f7w/v7/Df8d/yv/Nv9A/03/Xv9w/4L/k/+m/7r/z//j//sAFwA2AFMAcACSALgA3AD7ARsBRAFzAZ8BxwHwAiACWQKVAtEDDgNKA4gDyQQHBDgEXgSDBLUE9AU1BW0FmwXCBecGDAY0BlkGdgaLBqIGvwbaBuQGzAaFBhQFlwVABToFjQYuBxAIHAksChAKvAthDEQNgw72EEMRGhFlEVgRQRFGEVURTxE+EUkRdxGYEXYRDhCSEC4P6w+qD0YOqQ3lDSQMgAvhCxQKFAkcCHEIKQgkCEIIcAicCK0InwiKCIMIfwheCBIHpAclBqUGNQXjBaoFdAUvBOAEkQQ/A+EDeQMVArYCUwHpAYABIADLAHsALv/i/5H/Qf8A/tX+rf5z/ib93P2d/WP9KPz6/Ob84fzU/LL8dvwe+6n7MPrS+qD6lPqn+tv7KPtt+4z7hPt0+3L7eft3+2b7TvtB+0b7Xft8+5r7t/vW++778fvi+9X73fv1/Av8E/wU/BH8C/wL/B/8Sfx6/KH8wfzk/Qz9Of1t/aH9sv12/Oj8PPvL+9H8S/zw/WT9bP0b/Ln8h/yS/Lf82Pzv/QT9HP0x/Ub9W/1v/Xv9gv2K/Zf9pP2v/bb9vf3F/cj9w/21/aX9mP2M/X/9bf1c/U/9Q/02/Sn9IP0c/Rv9H/0m/TD9O/1H/Vn9cP2I/Z79uP3Z/gD+Lf5f/pb+zP77/yD/Pv9a/3H/iP+k/8f/7gAWAEEAcQChAM8A+wEpAVUBfQGeAcAB5AIHAicCRQJlAoMCnAKzAs8C8gMRAycDNwNOA3EDlwO5A9ID5AP0BAEECwQYBCsEQARTBGEEcQSIBKEEswS+BMoE3ATtBPcE+QT4BPgE+AT1BPIE8QTzBPYE+AT5BPoE/QUEBQ0FFAUZBSAFLAU9BVEFagWHBaQFuwXMBdkF4QXlBekF8gYABioGNQY6BjkGNgYyBi8GLgYvBjIGNAY3BjoGPAY+BkEGRgZOBloGaAZ3BokGnwa3BssG2QblBvEG+wb/Bv8HAAcABvsG8QbsBvYHCwcgBy4HMwc5B1QHmggICHMIswjLCOQJGQlaCYoJpgnHCfQKGAofCgcJ1wmWCUcI9giuCHMIPggSB/MH3wfRB8cHwQe5B6wHmgeMB4AHcQdbB0MHKgcEBsUGbwYSBbcFZQUmBQUE/QTzBNQEpQR5BF0ETAQ9BCcECgPvA+QD6gPqA8kDfwMfAroCWQICAccBsgG1AbEBlQFqAUYBNQE1AT8BTgFdAWwBgAGcAbwB0QHHAZsBXAEkAPEAngAA/yH+Qv2t/Wv9S/0Z/Nb8nvyA/G78WfxC/Dr8Rvxi/IL8mPyT/Gf8GPu6+2X7J/r7+tb6s/qV+oP6efp1+nT6dvpy+mX6YvqK+tr7JPs0+xD68vsM+1H7l/vE++H8Avwv/HH80P0//aD93P4C/i3+Z/6d/rr+uP6g/nX+O/36/bL9VvzP/B37X/rF+m36TfpG+jv6KfoX+gz6CfoL+g/6EvoR+g/6DvoR+hX6GPoc+iD6IfoY+gb56/nJ+an5mPmc+aj5s/nE+ev6H/pB+jj6E/nz+ej55fnc+c/5yfnI+cL5svme+ZD5jPmQ+Y/5f/le+Tj5GvkE+Oz40Pi5+LL4uvjG+Mj4tviT+Gn4Qfge9/r30fel93n3Tfcb9uT2rPZy9jP17fWk9WD1IfTp9LP0efQ68/nzvfOI81XzH/Lm8rDye/I/8frxs/F48UzxLPEQ8Pbw3PC/8Jrwb/BE8B3v+O/O76Pvfu9e7zfvAe7K7qTuk+6C7l/uLO357c/trO2J7WPtOO0L7N7stOyL7GHsN+wU6/fr2+vB67HrsuvB69Lr1eu/65DrVust6yvrVOue7AHsd+zw7U3tZ+0m7Jfr8+t861XrZut/643rouvF69frveuL63brk+u/69zr9+ww7ITsx+zP7J7sWOwi7BLsLOxc7ITsl+yl7L/s4+0D7R3tQe1z7aPtuu2+7cbt4u4K7i3uRO5b7oDutu7w7x7vN+9G71nvee+i79DwA/A/8IDwvvD58TXxc/Gv8ebyG/JT8o7yx/L+8zTza/Og89L0BPQ79Hf0tPTs9R71T/V/9bT19PZC9pj27vc+94r30fgO+D34Z/iY+NH5CPk6+XT5xvoq+of6y/r7+yP7Rvtj+4H7r/vx/EH8kvzj/TL9e/3A/hH+f/8M/6gAQgDQAUoBrQIAAlACogLvAzADbgO0BAEESQSGBL8E+AU3BX0FzgYkBnEGrAbbBwsHOwdmB48HwAf9CEEIiAjVCSQJZwmZCdAKIAp4CqoKogp8CmwKigrHCw8LXAutC/UMIgwxDDMMNQw3DDQMNAxFDG8MqAzkDRoNTQ1/DbUN7w4rDmEOkA6/DvAPIg9PD34PvBAIEFAQhxC1EOgRIRFWEX8RoxHMEgISRhKWEuITFxMvEzsTSRNTE1ATShNZE40T2BQjFGUUoBTZFRUVWRWrFgcWYBatFuwXIBdFF1EXRRctFyIXKBctFxYW3RafFnwWfRaOFpkWnBakFrwW3Rb7FwgXBhcAFv4W/xb/Fv0XARcLFw4XAhbwFuIW2hbWFt0W9RccF0YXaheCF4oXexdgF0gXMhcSFukWxhaoFnUWMxYjFncW+xcyFuQWZRYyFmIWqBbDFrkWphaMFmoWWRZ1FrkXERd3F+YYMxgnF8cXYRdAF10Xehd2F2cXbxeKF5QXghdnF08XExZ2FYkUzRTbFc8XJRg7GOAZUxnFGhoaJhn/GeIZ6BnwGeEZxBmtGZkZfhlgGUgZMRkOGOIYuBiaGH8YXRgwF/wXyheiF4UXaBc5FvMWpRZmFkEWMRYmFggVyBVmFPcUjxQ2E+8TvROiE5MTiROJE50TxBPgE9sTthOGE2MTURNNE1ETVhNWE1ATQxMxEyATGBMaEw8S5RKeEkARpBByDoUMRgqFCdQKEgqhCwULOAtmC4wLfws2CuQKuwqvCpAKRAneCXkJGgi0CEIHzwdtByIG6AaxBnYGPgYRBe0FyAWhBYkFgwV8BV4FNwUpBToFQAUXBM8ElQR+BHUEZQRPBDkEHwP6A9MDtAOaA3QDRAMbAwgDBwMJAwcC/ALpAtACtwKgAoUCYQI9AiUCEQHyAccBpwGqAcMBzAGvAX8BYQFiAWwBZAFIASgBCwDxAN0A2wDkAOAAyAC0AMoBAwEsARcAyABuACv/+v/C/3f/Kv7y/tn+0v7G/qr+gf5Z/jj+If4S/gb99P3c/cf9u/2p/YD9Tv08/Vf9df1i/SP88/z5/Rn9H/z8/M78sfyh/I78fPx2/Hv8ffxx/F78TvxE/Dz8Nfwt/CL8Evv9++n72PvN+8T7uvux+6n7pPuh+5/7nvud+5z7nPug+6f7sPu1+7f7u/vD+8v70fvW+9n73Pvf++P75fvm++j78Pv9/An8Evwb/Cr8O/xG/Ez8Uvxe/G38fvyU/K38w/zQ/Nr86vz//RT9JP01/Un9XP1q/Xb9hP2W/ab9tv3H/dn96v34/gb+Ff4m/jb+Rv5V/mP+cf6A/pH+of6v/rr+x/7V/uH+7f76/wb/Df8Q/xb/IP8p/zD/Nf84/zj/Nv81/zn/Pv89/zf/Mv8x/y//Kf8j/yD/H/8Z/w//B/8A/vn+8P7o/uT+4/7e/tb+zP7B/rf+sP6t/qv+qP6h/pX+h/56/nD+av5l/lz+Uv5J/kH+OP4q/hv+Ef4M/gn+B/4F/gH9/P39/gL+Bf3//fT97f3s/e798P31/f3+A/4G/gz+Gf4n/iv+Kf4r/jX+Pf48/jn+P/5M/lj+Xf5g/mX+bf53/oP+k/6j/rH+vP7G/s7+1/7j/vL/AP8L/xX/If8w/z3/SP9T/2H/c/+E/5X/p/+9/9f/8AAHAB0ANgBSAGwAhwClAMkA7QEOAS0BUgF7AaYB0QH9Ai4CYgKXAtADDQNKA4UDvwP4BCoEUgR3BKUE4AUhBVwFjwW4BdwF/gYkBk0GdQaXBrQGzwbvBxQHMgcvBu4GcAXbBWoFTAWWBkQHPAhGCSsJ4wqdC5gM7A5vD9UQ1RFNEVcRNxEoETMROhEwES8RTxF6EXkRLxC2ED8P5A+PDxsOeg3HDS0MswwoC1EKNQkfCGYIHAgbCDQIUghtCHgIbwhiCGEIZghXCCMHxgdNBswGYAYYBewFvQV5BScE1gSEBCgDxANfAvsCkwImAbwBWAD1AJIAM//d/4n/N/7y/r/+kP5U/gr9wv2A/Tz8+vzN/MT8z/zT/MD8j/w5+8H7QPre+q76q/rI+wL7UPuY+777xvvH+9D71/vI+6b7hftz+3H7evuJ+6L7yfvz/Ar8Avvj+8n7wfvH+9D73vvx/AD8Afv9/Ar8N/x5/Lr88P0b/UT9c/2l/cT9rv1P/Lr8JvvN+9L8K/yn/QD9DPzZ/KH8lPyx/Nf88P0B/RT9K/1B/Vj9cP2I/Zj9ov2q/bP9vv3J/dD91P3W/db90v3J/br9q/2c/Y39e/1q/Vv9Tf09/S39IP0a/Rj9Gv0f/Sf9Mv09/U39Yv17/ZX9s/3V/fv+JP5Q/oH+tf7m/xD/Mv9Q/2v/h/+n/8n/7QARADkAZgCVAMIA7wEdAUsBdAGXAboB4QIHAicCQgJeAnoCkgKoAsQC5gMJAyQDOwNXA34DqwPRA+wEAAQRBB8EKAQvBDsETgRiBHIEgQSVBK0EwATMBNYE4wTuBPIE8ATuBO4E7gTtBOsE6QTpBOwE8QT4BPwE/gUDBQsFFAUdBSgFOAVLBWAFeAWVBbIFygXaBeUF7gX2Bf8GCwYaBkUGSwZNBksGRgZBBj4GPgZBBkYGSgZMBk8GVAZZBlwGXwZmBnMGhAaVBqUGuQbSBuoG/QcLBxgHIQckByYHKgcvByoHHgcZByMHNAc7BzcHNAdBB2wHwQg7CLcJBwkhCSYJOAlbCX4JngnJCgAKKwo0ChgJ4wmfCVIJBgjDCIoIWAgyCBsIDwgEB/kH8QfsB+IH1AfGB7sHrQeaB4YHbQdCBv0GpgZNBfYFngVUBS4FKAUmBQsE2QSqBIwEfARyBGgEWgRHBDUEKQQaA/YDtQNfAwQCrQJkAjECFwIHAe4BywGsAZsBlwGZAZ0BowGoAbABvgHXAe4B8QHVAZ0BYAEvAQYAvwAz/2j+mv4L/cL9lP1Y/RP84fzI/LX8mPx9/Hr8lPy8/Nr82fyw/GP8Bfuv+3D7Rfsd+vH6w/qk+pn6m/qd+qH6rPq7+sT6y/rq+y37dPuP+3P7S/tH+237pfvY/AL8JfxN/I/8//2O/g7+XP6E/qb+0P75/xX/H/8N/tL+cP4F/ar9UPzR/CD7ZPrZ+pj6iPqB+m76V/pK+kf6RPpA+j76Q/pK+k76UPpS+lT6VvpV+lX6UvpG+iz6Bfnb+cH5xfnp+hr6RPpl+oz6v/rq+vL6z/qX+mb6TPpD+jv6K/oQ+fP53fnR+c35zfnP+c75wfmm+Yb5bPlc+VD5QPkt+SL5JPkw+TX5Jfj9+Mz4oPh8+Fn4MfgF99j3qfd190L3Evbd9p/2WPYR9dD1k/VV9Rn02/SZ9Ff0GvPn87rzivNX8yPy7PKr8mHyHPHn8cLxo/GB8V7xPPEa8PLwxvCb8HTwTPAf7/Hvx++j73nvR+8X7vju6e7U7q7ueu5I7iDt/+3d7bfti+1a7Sjs/OzT7Kzshexj7EfsMewg7BrsIewr7CjsEOvm67Drf+tk623rnevu7Ffszu087YPtgu0v7KPsEeuy65frqeu868Xr0uvp6/Pr2uuu657ruevn7AzsM+xw7Lrs4+zO7I/sUew07D7sYuyL7Kfssuy57M3s7e0N7SrtTe167aLts+2u7avtv+3q7hbuMu5C7lvui+7J7vzvGu8s70jvce+e78fv8/Ap8Gjwp/Dg8RnxVvGT8czyAvI68nTyrfLi8xTzR/N787Dz5fQc9FP0ivS+9PH1I/VW9Yv1yPYR9mP2ufcM91v3ovfY9/r4Evg1+Gv4qvjn+Sr5gvns+lD6lvrA+t368fr9+wv7Mvt9++L8UPy9/ST9hf3f/j7+r/8z/7kANACjAQsBawHFAiACfwLeAzEDdwO3A/MEKgRaBIkEuwTzBTUFfwXKBgoGPAZuBqYG4AcNBzAHVQeHB8gIGQhzCMgJBAkpCVUJmwnpChQKEAoBChUKUwqcCtsLGAteC6MLzgvZC9YL1wvaC9ULzAvUC/sMOAx6DLQM7A0pDW0NsA3pDhgOQQ5tDp0OzA78DzAPag+nD98QFBBQEJcQ2xELESURPBFlEaYR+RJQEpoSzhLuEwUTGBMgExgTDhMcE04TlRPfFCUUbBS3FQIVShWUFegWRBaaFtwXCBcjFy8XKRcUFv8W/BcHFwgW6xa7FpYWiRaKFooWhxaLFpsWsBbBFsgWxRa/FroWtha3FsIW2hbyFvUW3Ra8FqgWohafFp8WrRbRFwIXMBdNF1MXQRcoFxMW/xbgFroWnRaCFk4WCxYAFl0W4hcMFqoWIxX3FjUWghaZFokWehZtFlsWUxZpFpUWyRcXF44YAhgfF84XWRcjF0EXeBeQF4sXiheTF5MXfBdfF0UXDRZ7FY0UsxSJFUoWlxfSGK4ZRBm8GggaDxnrGdQZ3RnrGeEZyBmyGZ0ZgBlcGT4ZKRkQGO0YxhiiGIAYWhgtF/sXyxekF4cXaBc6FvoWtxaAFlUWLhYIFdsVoBVRFO8UgRQWE78TkhORE6QTrBOkE6cTxBPpE/QT1ROhE3cTZRNpE3MTehN7E3kTcRNjE1ATQxM+EzQTEhLOElIRYg/CDZILfApKCjoKxws1C0ILMwtQC4ILhAtGCwIK5grcCrIKVwnmCXwJFwipCDIHwAdjByAG7Aa3BnoGPgYMBeEFswWFBWoFZwVhBUAFEQT3BPgE8gTPBJ4EfwR3BG8EWwRIBDoEJgQGA+sD4QPaA7oDfAM/AxwDEgMRAw0DAgLuAs8CrQKPAnECTQIoAg4B/gHpAcMBnQGRAZsBngGCAVQBOQFAAVUBWwFLAS0BCQDiALwApwCjAJwAhwBtAGcAdgCAAG4AQwAR/+T/t/+F/07/GP7q/sj+s/6m/pX+dv5L/hz99v3j/d392P3M/b/9t/2n/X39Q/0f/Sj9Qf0+/Rj88/zs/PP86fzK/K38nvyQ/Hv8Zfxc/F38WvxO/EH8O/w3/DP8Lfwp/CL8FPv+++f71/vP+8r7w/u7+7P7q/uk+577mvuY+5j7mvuf+6X7qvus+677s/u6+8L7yfvQ+9f73fvj++j77fvv++/78fv6/Af8E/wf/C78P/xM/FX8Xfxm/HP8gvyX/K38wPzN/Nr86/0A/RP9I/0z/Ub9Wv1r/Xv9i/2b/ar9uv3L/dz96/33/gT+E/4j/jP+Q/5T/mH+b/5//o/+nv6r/rj+x/7V/uD+7P76/wb/Df8Q/xX/Hf8m/y7/NP85/zn/Nv81/zr/Pv8+/zn/Nf80/zL/LP8n/yX/Iv8b/xL/DP8H/v/+9v7t/uj+4v7c/tf+0v7N/sT+uv6y/q3+p/6d/pH+hP57/nb+dP5t/l/+Uv5M/kr+RP42/ij+IP4e/hv+GP4X/hT+EP4N/g7+Dv4I/f79+v38/gH+Bv4M/hP+F/4Y/h/+MP4//kP+P/4//kn+VP5X/lb+W/5l/m7+cv52/n3+hf6O/pr+qf66/sn+1v7f/ub+7f74/wf/GP8m/zH/O/9E/03/Vv9i/3P/h/+b/63/wP/W/+8ACQAfADUATABoAIQAngC6ANoA/QEgAUIBZgGLAbIB3wISAkYCdAKeAs4DCQNJA4UDuAPpBBkESQR4BKoE3wUVBUcFdwWkBcsF7gYTBj4GbwadBsMG3wb7Bx8HTgd1B3UHNAa2BhsFlwVjBagGZAdgCFYJLAoKCygMkQ4bD4UQlhEsEUsRKBEKERIRLBE0ETARPRFiEXkRWRD+EIoQFw+iDxkOdQ3JDTEMpwwDCx0KAwj/CFsIKAg4CFcIaQhuCGYIUwhACDcIMwgkB/wHuAdaBvEGkwZPBiEF8wWzBWcFFgTBBGUEBAOhAzoCywJaAfEBjgEjAKwANv/O/3H/G/7S/pn+Zv4s/ez9r/10/TH87fy//Lb8xvzS/Mj8n/xS++T7bfsQ+ub66fsJ+z/7hPvH+/X8Dvwd/Cr8J/wK+9z7svub+5X7lfue+7X73fwD/BD7/PvX+7n7qfui+6P7tPvV+/b8BvwK/Bv8R/yH/Mz9Cf1C/X39tf3Y/cX9avza/Ez77vvR++f8IPxj/Jb8pfyZ/JP8qfzP/O79AP0R/Sr9Rv1f/XX9jP2i/bL9vf3E/cr90v3c/eX95/3i/d792/3X/cz9vP2q/Zr9if13/Wf9V/1F/TL9JP0d/Rr9F/0X/Rv9I/0t/Tv9T/1o/YX9pf3K/fP+HP5D/m7+nf7O/vn/Hf8//2D/gv+n/8v/7wASADgAYwCQAL4A7QEbAUkBcgGXAb4B5wIOAi4CRwJeAnYCjwKnAsEC3wMAAx0DOQNZA4IDsAPYA/cEDgQlBDcEQgRFBEwEXARzBIcElgSmBLcExwTTBNwE5AToBOcE5QTkBOYE5wTmBOUE5ATjBOUE7QT2BPsE/AT/BQgFFAUhBS4FQAVVBWwFhQWhBb4F2AXrBfoGCQYXBiUGMQY7BloGWwZZBlUGUAZMBkoGTAZQBlYGXAZgBmMGZwZuBnQGdwZ+Bo0Gowa3BscG2gb1BxMHKwc+B0wHVAdVB1MHVwdbB1cHSwdFB0wHVQdSB0sHUgdzB64ICAiACP4JVwlzCWUJVwldCXEJkAm+CfcKIgotChgJ7Qm1CXQJMgj1CL8IkAhtCFwIVghPCEMIOQg0CDAIJggXCAUH7gfVB7wHoQd2BzQG5QaUBj0F2wWCBVIFTQVRBTsFCwTeBMMEtQSoBJwEjwR+BGYESwQwBA4D2wOZA1ADCwLTAqcCgQJVAiUB/gHqAecB6QHpAesB8QH5Af4CBwIVAh0CDQHcAZEBPwD5AMEAewAG/2H+uf5C/gH90/2Z/V39Nf0g/Qf85/zS/N39Av0o/TP9FfzM/GX8APu2+4v7bftI+xb65vrI+sD6wfrB+sb63PsA+x37Kvs9+237rvvW+837p/uP+5z7yfwE/Dj8Wfx0/K79Jv3J/lv+sf7X/vT/HP9H/2r/ef9j/xP+k/4P/af9SfzI/Bf7ZPrs+r/6uvqy+pz6h/qA+oH6fvp1+nT6fPqI+oz6ivqJ+o36jvqJ+oL6e/pu+lD6I/n4+en6BvpQ+rf7Hvtl+3v7aftK+zL7IfsM+vD61Pq/+qf6g/pV+jD6Ivol+ib6F/n9+eX50vnC+bT5rPmt+bT5tvms+Zz5kfmS+ZL5gfla+Sj4+/jX+LP4ivhg+DX4BffR96D3c/dB9wH2u/Z59j32APW/9X31PfT89Ln0ffRM9CPz+PPI85TzWvMV8s3yj/Ji8kDyG/Hu8b/xl/Fy8UvxH/Dz8MfwnPBu8EDwFe/s78Dvk+9t71PvP+8j7vnux+6Z7nLuUO4u7gnt3O2l7W3tPe0Y7Pfs1Oy07JzsjeyG7IjsjeyJ7HDsQ+wL69jrteus68Lr+OxM7LTtJO2B7a3tku007LLsOuvz6+Tr9OwB7ALsBOwQ7BTr/uvc69Tr9ewn7FLseuys7N3s6uzE7IfsXuxY7G3sjuyv7Mfs0OzT7N/s+e0a7TrtWu1+7Zztpe2a7Y7tnu3L7f7uH+4s7jzuZu6k7tzu/u8U7zPvYO+P77nv4/AX8FTwkPDH8P7xO/F78bfx8PIo8mPym/LO8vvzJvNW84zzxPP79C/0YfSU9Mn0/vU09Wz1qfXs9jn2i/bf9y73b/eY96n3sffL+AH4SviV+OT5Rfm2+h36Y/qG+pj6ovql+qv60fsu+7j8UPzb/VX9wP4g/n7+4f9I/60ADABpAMsBMQGWAfsCZALNAy4DfgO9A/AEGQQ9BF8EhgS1BO0FLgVuBaQF0gYGBkwGlgbUBvsHFgc0B2AHoQf0CEcIhgixCN8JHwlgCYMJhwmRCcMKFgpoCqcK4AshC10Lfwt/C3ULdAt4C3ULbAtyC5gL2QweDFsMlgzcDSkNcg2rDdYN+g4gDkcOcA6dDs8PAg8vD1oPkQ/eEDgQhBCvEMEQ1xEKEVsRuhIRElUShBKqEssS5BLpEt0S0RLfEw4TUhOeE+0UQxSeFPUVPxWCFc0WJhaAFsMW6Rb7FwYXCBb5FuAW0xbdFuoW4RbBFqEWkxaUFpkWmhacFqIWqhawFrAWrBaoFqYWpxasFr4W3hb7FvwW1xalFoMWeBZzFmsWaBZ3FpkWwhbhFuoW3xbPFsYWvharFpMWgxZuFjcV8hXuFlsW6xcPFqEWEhXrFjMWgxaVFnoWYxZWFk0WUxZsFoAWghaZFvkXiRfhF78XVxcVFywXdBeqF7oXtRerF5YXdBdRFzcXBxaIFa0UzRR8FQ8WSxedGJkZORmgGd0Z7RngGdYZ2xndGdAZvhmwGaIZhxljGUQZLBkUGPcY1RiwGIgYXRgxGAMX1BeoF4IXXxcyFvsWxBaTFmQWMBX+FdIVpBVjFQMUjRQVE7oTkROaE7cTwROwE6MTuBPlE/4T6BO0E4cTexOIE5kTnxOcE5wToBOaE4UTaRNTE0YTMxL6EmERHQ8SDKYKsAnsClALGAuBC2oLOwtGC24LbwtFCyILHgsPCskKUQnSCWYJBQibCCgHuwdiByIG8gbDBooGTgYYBeYFrgV0BUwFPAUvBRAE5wTMBMMEtgSXBHsEcQRwBGMESQQ3BDAEIQQHA/cEAgQQA/4DxQOFA1oDQAMoAw8C9wLfAr8CmgJ6Al4CPwIcAgAB8wHmAcsBpQGKAYIBfAFgATMBEQEMARgBIQEfARQBBQDrAMoAqwCUAIEAbABWAEcAPQAtABX/9//W/6z/fP9O/yn/Cf7i/rb+kP56/m3+Wv43/gj92/2//bf9t/2z/az9pv2b/Xz9SP0Z/Qf9Df0S/Qf88/zh/M78svyW/If8gfx5/Gv8XvxZ/FL8Qvwv/CX8J/wq/Cf8Ifwd/Bv8Efv/++z73vvY+9X70PvI+7/7tPuo+537lfuR+5H7k/uY+537ofuj+6b7qvuu+7L7uPvC+8772Pvf++b77vvy+/L78fv2/AL8EPwe/Cz8PPxM/Fv8Z/xy/H38jPyd/K78vfzL/Nz88P0E/RX9JP00/Ub9Wv1s/X79kP2g/a/9wP3R/eH97v37/gj+Ff4j/jL+Qv5T/mL+cP6B/pH+n/6s/rr+yf7W/t/+6P71/wL/Cf8N/xL/Gf8i/yn/MP82/zj/Nv82/zn/Pf88/zj/Nv81/zH/K/8l/yL/Hv8X/xH/Df8I/wL++/71/u/+5v7b/tb+1v7W/tD+xv67/rD+p/6e/pb+jf6E/n7+ev5x/mP+V/5U/lb+Uf5E/jj+M/4y/i/+LP4q/ij+Iv4b/hf+Ff4R/gz+DP4R/hf+HP4i/if+Jv4l/iv+Pv5R/lf+Uv5Q/ln+Zv5u/nT+e/6C/ob+if6O/pb+nv6n/rH+v/7P/t3+6/73/v//A/8J/xX/KP88/0v/Vf9a/17/Zf9x/4P/mf+w/8j/3P/vAAAAEwAoADwAVQByAJIAsADNAOsBDQEzAVgBfQGhAcYB8gImAlsChwKqAtEDCANLA4gDuAPeBAYEOARwBKoE3gUJBS8FWAWGBbMF3QYGBjUGaAabBscG7AcMBysHUgeCB64HvAeLBwkGTQWgBVsFsQaEB4YIiAmaCuQMZQ3xD1EQXxEAES8REBDnEOgRCREjESYRKhFFEWYRZhEuEMwQWA/dD1sOzA4rDXkMtAvUCtUJzAjrCGUIRghqCJkIsQiqCIwIZghECCgIDAfkB7IHeAc7BvsGvAaFBlYGJQXpBaAFTwT4BJ0EQgPiA3UC+QJ+AhUBtwFLAMoAQv/I/2D/BP6y/m/+OP4D/c79n/1v/Tf89/zF/LX8vvzL/Mj8rfx0/B37uPtk+zn7OftT+377tfvw/CT8Sfxi/G38Yvw9/Af72Pu++7v7xPvS++j8AfwT/Ar75/u8+5z7j/uP+577wvv1/CP8PfxK/F78hPy3/Oj9Ff1I/Yn9z/3t/bP9F/xX+8v7pPvI/AH8L/xP/Gj8ePyE/Jj8uPzZ/O/9Af0c/T/9YP17/ZL9p/24/cP9zP3V/dr93v3k/ez97v3o/eH93v3d/db9x/21/aX9k/2A/W79X/1O/T39L/0o/ST9If0e/R/9JP0t/Tv9Tv1m/YH9n/3D/e3+F/49/mP+jf65/uL/B/8r/1H/ev+i/8r/8gAXADwAYwCOAL0A7QEbAUgBcQGZAcIB6wISAjICSwJhAngCkQKsAsUC3wL5AxUDMgNTA3oDpwPRA/YEFQQyBEkEVgRaBF4EawSBBJgEqQS1BL8EyQTTBNwE4QTgBNwE2wTeBOIE4gThBOME5gToBOoE8AT4BPwE/QUBBQwFHAUqBTYFRgVdBXcFkwWvBcwF6AX/BhMGJQY2BkUGUAZXBmUGZQZjBmAGWwZXBlYGVwZbBmIGagZwBnQGeQaBBosGkgacBq0GxwbhBvQHCAcjB0EHWgdtB3wHhQeGB4MHgweFB4EHdQdtB3AHdwd7B4cHqQfdCBcIWgi2CSMJfAmeCY4JdAlqCXEJhQmlCdAJ9QoGCgIJ7wnPCaIJbwk+CRAI5gjGCLUIsAisCKUIngibCJUIhQhsCEwIKAgEB+YHygeiB2kHJAbYBn0GEAWsBXYFcgV6BWUFNgUKBPIE5ATSBL4EqwSXBH0EXwRBBCAD9QO+A4MDUAMoAwcC3QKkAmgCQAI1AjoCPAI5AjsCRgJQAlQCVAJUAk0CLwHuAYoBFgCwAGgAL//b/17+2P52/kD+GP3n/bf9mP2E/Wb9Rv1B/WD9iv2Z/Xn9K/y9/Eb75Puv+537kvt1+0j7HfsE+vn68vrt+vX7FPtC+2P7avtv+5L71fwQ/B78APvb+9f8APxE/H/8l/ye/Mr9Q/3w/on+4f8H/yr/X/+a/8b/0P+n/0H+s/4s/cD9Uvy5+/37Vvr4+uL65vrg+s36vPq3+rf6s/qt+q/6uvrE+sP6vvrB+sr6y/q9+qz6ovqY+nv6Tfol+hv6PfqX+zD78fyM/Kz8PPuN+wz66vsF+x77G/sE+ub6v/qU+nv6gPqV+pn6d/o8+gX56Pnl+e/5+/oH+hT6HfoZ+gf58/no+eP51Pmx+YX5Wvkz+Qr44Pi3+I/4Yvgw9//30vef92D3HPbf9qj2bfYq9eb1pfVj9SH05vS29I70Y/Q08//zxPOB8z7zB/Lf8rnyifJR8hzx8fHM8abxe/FN8R7w7/DD8JjwbfBA8BLv6e/J77DvlO9v70LvFe7s7sXuoe5/7lvuLO3w7bDtfu1c7ULtJO0H7PLs6uzs7O/s6uzV7Kvsc+w77BHr/uwG7CjsY+y07RTtd+3B7dbtq+1L7Njsduw+7DLsPuxG7EHsPexB7ELsMuwe7CPsTOyC7Kzsx+zg7PLs5+y87I3seOyB7JnssuzM7OLs6+zr7PDtBe0n7UjtY+187Y/tk+2G7Xjtg+2s7eDuAu4Q7h/uRu6D7r3u5O7/7x7vSu9776jv2PAO8ErwhPC58PDxK/Fp8aXx3vIX8lHyivK+8urzEvM8823zofPV9Ab0N/Rs9KL02fUR9Uz1jPXR9hz2bfa/9wb3OfdS91f3Wfdz9674Afha+LP5F/mG+en6KfpG+lP6Wvpc+mX6mPsS+8b8hf0l/Z79/f5Q/p3+6f84/4v/4gA/AKIBCAFtAdECOQKjAwcDXwOmA90EBgQjBDwEVQR2BKME2gURBT8FZgWWBd0GMwaDBr0G4Ab2Bw0HMgdsB7IH9ggxCGoIpgjaCPcJCQkuCXgJ1wouCnAKqgrjCxILJAsdCw8LDgsUCxcLFgsiC0sLiQvLDAcMQwyMDN4NKw1lDZANsg3RDfAOEg48DmwOmg6/DuYPJA9+D+EQLRBTEGMQgRDDESQRjBHiEh8STRJ5EqISuxK6EqcSmBKiEsoTChNYE7EUFRR8FNwVKxVuFbMWBRZZFpkWuhbIFtUW4BbcFsoWuxa/FssWyha0FpsWkRaYFqQWrBatFq0WrhawFq0WpRaiFqwWvRbQFuIW+RcOFwkW3RacFmkWURZLFkMWNhYxFjwWVRZqFnEWbBZsFnYWfxZ4FmoWYxZRFhsV2hXmFmkXDhc+FtEWQBYUFlQWlxaZFnAWURZDFj4WSRZlFm4WTRY2FnYXDBeSF6gXXxcWFxYXUheVF78XzBfAF5wXbBdBFyQW/RaVFdQU+RSCFNUV4RcuGEUY+RlgGZsZvBnNGdcZ2RnNGbkZqxmlGZ0ZihlwGVYZOhkYGPQY1Ri2GJEYZxg+GBMX4hesF30XUxcnFvEWtxaBFkwWGxX0FdYVrRVfFOgUZhP6E7kTohOrE7sTuROhE5ETphPYE/wT8hPEE5wTlxOuE8QTxhO8E7sTxRPKE7cTkBNsE1kTSxMMEksQuQ5eC9AJ9wlwCgkK7QtmC2ILQwtJC1sLUws9Cz4LSwssCsMKMAmrCUcI9AiYCDEHygdvBysG+gbPBpwGZAYuBfsFwgWBBUsFKgUTBPgE2wTIBL0EqgSMBHQEbQRnBFEENAQmBCQEFgP7A+0D/AQUBBAD7APCA6IDggNWAyIC9wLUArACiQJoAlECOQIaAf0B7AHjAdABrgGLAXYBaQFRASsBAwDoANsA1QDUANwA6wD0AOsAzwCqAIIAYQBJADgAJQAK/+7/1P+3/43/Wf8q/wz+9f7S/qT+dv5Y/kX+M/4Y/fP9y/2r/Zr9lP2R/Yv9hP1+/W79Tf0f/Pf84vzf/OP84vzU/Lr8nfyI/Hz8cvxl/Fz8Xvxj/Fn8Pvwg/BH8EvwV/BD8CfwG/Ab8Avv4++374/vd+9j70/vM+8P7uPur+577lPuO+4v7jPuP+5P7l/ub+6D7ovuh+6D7ovut+737y/vU+9z75fvs++777fvv+/j8B/wV/CL8MfxF/Fn8avx4/IX8lfyl/LL8vvzM/OD89f0G/RP9If0z/Uf9Wv1s/X39jv2f/bH9w/3V/eX99P4C/hH+Hf4o/jX+Rv5X/mX+dP6F/pX+ov6u/r3+zP7W/tz+4/7v/vz/A/8I/w3/Fv8d/yT/K/8y/zb/Nv83/zr/O/84/zX/M/8x/y3/Jv8g/xv/Fv8Q/wv/CP8E/v7++v76/vf+7f7g/tj+1/7X/tL+yv7B/rb+rP6m/qL+mf6M/n/+ef50/mz+ZP5i/mL+Xv5T/kn+Rf5D/kH+Pv48/jn+Mv4p/iP+IP4f/h7+Iv4o/i7+Mf40/jb+NP4x/jn+TP5h/mn+Z/5m/m3+ef6E/pD+mv6h/qP+o/6n/q7+tv6+/sn+1/7k/vD+/v8N/xf/HP8f/yn/Ov9P/2H/bP9w/3P/e/+J/5n/rf/F/+H/+AAIABMAIQAzAEgAXgB6AJsAvADcAP0BIAFGAWwBlAG7AeICCgI2AmcCkgK2AtoDDANMA4oDugPcA/4EKQRfBJgEywTzBRQFOgVoBZsFzQX+BjAGYgaPBroG5QcSBzkHWweAB7YH8ggLB8gHFQYmBWsFSAXQBsoH9wlFCr0MUg3XDyQQIRDDEP8Q7RDFEL4Q3RD+EQ0RGRE2EVoRZBE9EOkQgBAWD7QPSw68DfAM7AvRCsAJzQkNCJcIegiiCOAJAgj2CMgIkwhnCDwIBQe4B2IHGgbtBtYGxQavBo4GYAYlBd8FjgU3BOEEjQQuA7YDJgKcAi0B0gFqAOcAWf/Z/2r/Av6h/lD+Ef3h/bf9k/1v/UH9B/zS/Lf8tvzB/Mf8v/yi/Gn8GfvL+5b7hPuO+6v71vwL/EH8b/yO/Jv8jvxn/C77+vvj++v8Bfwf/DD8OPwv/A370/uV+2/7bPuL+8T8C/xS/Ib8oPys/L383f0C/R79Kv07/Wv9t/3o/bL9APwj+477evu7/AX8L/xG/Fz8dfyO/Kf8wfzX/Ov9Bf0r/VL9cf2K/aT9vP3L/dP92/3m/ev95/3k/ef96/3p/eL93v3c/dT9x/23/aj9lv2B/W/9Yv1Y/Uv9P/03/TT9M/0y/TP9OP1C/VH9ZP16/ZD9qP3H/e3+Ff45/l3+g/6s/tH+9f8b/0X/cP+a/8T/7wAYAD0AYACIALYA5gEUAT4BaAGTAbwB5AIJAikCRAJbAnMCjwKtAskC4QL5AxMDMANQA3YDoQPPA/oEIQRCBFwEawRvBHEEegSLBKAEsgS+BMYEzATTBNoE3QTbBNYE1gTaBN0E3QTcBOEE6QTwBPQE+AT9BQEFBAULBRoFKgU3BUIFUgVrBYkFpQXABdoF9QYNBiEGMAY+BkwGWQZiBmYGaQZqBmoGZgZiBmAGYQZmBm4GegaEBooGjwaZBqYGswbABtQG8gcRByoHPwdWB20HfweNB5sHpwetB60HrQewB64HpwehB6YHtAfLB/EIKQhhCIgIpAjUCSQJdgmhCaAJjwmGCYQJhgmPCaYJxAnbCegJ7AnkCcwJqwmKCWwJTgkzCSAJGgkaCRsJGgkUCQAI3QiwCIEIVQgsCAwH7wfLB5kHWgcPBrAGQQXfBa0FrQWzBZkFYwUzBRcFBQTuBNIEuQSiBIwEcgRYBDgEDgPbA6gDgANlA0wDJgLwArkCmAKVAqACpQKiAqICpwKpAqACkQKBAm0CRwH8AYQA9QB+AD8AKP/7/5f/Gv69/o7+bP5A/hP99/3i/cT9rP24/eb+CP3u/ZH9C/x6+/n7pPuJ+5f7qPug+4T7ZPtM+zv7Lvss+zz7XvuD+5X7jvuK+6v7+PxJ/Gz8Uvwi/BP8QPyP/Mr80/zD/N/9Uv3+/pj+8/8i/1X/oP/wACUAJP/f/2L+0v5W/ev9Zfyr++L7TfsP+xD7G/sW+wX69vrv+uz66Prm+uz69fr6+vf6+fsI+xn7F/r8+uH61vrQ+rf6i/pj+k76UfqL+zT8Tf1g/br9EfvU+tP6gvq3+wH7HfsV+wT67/rY+s363/r/+wr65/qi+mL6R/pU+nP6h/qI+oD6efpw+l76SPo4+jD6JfoK+eP5uvmQ+WT5N/kO+Of4vPiL+Fr4LPf59733fvdF9xH21/aV9lH2D/XM9Yr1UPUi9Pj0zPSa9GX0K/Pt87DzfvNU8yXy6/Ks8nfyTfIo8gHx1vGo8XbxR/Ec8PXwzfCe8G3wRPAl8Afv5O+5743vZe8+7xju8u7Q7qzufO487fjtxO2l7Y/tde1a7UntR+1L7UjtNO0P7N/sq+x/7GTsX+xz7Jzs1+0h7Xfty+4E7gvt2e1+7Rjsv+yJ7Hjsf+yF7IDseOx57Hrsc+xt7H/sr+zk7QPtCu0J7QHs6OzA7J7smOyp7L/s0uzm7Pjs/+z97QHtFe027VXtae147YPthe167W/tde2V7cHt5O337gruLu5l7p7uze7w7xTvPe9r75zv0fAM8EjwgfC48PHxLPFm8Z3x0/II8j7ydPKp8tnzAvMq81Xzg/Ox89/0EvRK9IT0u/Tz9TD1dPW99gj2Vvai9t73AfcN9w73Fvc393j30/g3+Jn4/flh+bf58PoJ+hD6E/oW+i76ffsc+/T8xv1i/cL+A/4+/nr+uP8A/1b/uAAcAHwA2QE2AZcB+wJeAr4DGwNwA7cD6QQIBBkEJwQ6BFoEhgS1BNoE9gUaBVUFpwYBBlAGiQasBr8G0QbvByEHYwepB+wIJghTCHYInwjgCToJmQnrCiwKYwqTCrIKuwqyCqgKpwquCrQKvQrRCvoLMwtvC6kL5wwxDIQM0Q0PDT0NYg2CDaANww3vDiAOTQ5yDpwO3g86D5kP3g/+EBEQORCJEPkRaRHBEf4SLxJeEocSmBKLEm8SXBJgEn8SthMDE2ETyxQ4FJ4U+RVGFY4V2hYlFmAWgBaQFqAWsxa+FrkWrharFq8WrRaeFosWgxaLFpsWphapFqgWrBaxFq8WohadFrAW1xb5FwkXDxcSFwYW2RaRFk4WKRYfFhkWDRYBFgEWDBYUFhIWDxYcFjkWThZHFjMWJxYbFfQVxxXmFnwXMRduFwsWehZCFmoWkhZ9FksWLhYoFiUWKxZAFkcWJhYCFigWqRc3F3YXWRcfFwMXFhdHF4IXsxfEF6kXcRc5FxIW6haVFfUVJBR9FGsVEBYzF2gYXBj2GUsZfBmhGb0Zxhm7GagZnRmXGYsZehlqGVsZPxkTGOgYyxi0GJYYbRhDGBgX5heuF3wXUhcjFuYWnxZeFicV/hXhFcYVjBUcFIkUBxO9E6gTqhOrE6cTnBONE4kTohPSE/oT+xPYE7cTthPQE+kT7BPiE94T6BPxE+QTvxOZE4MTaRMKEgkQLg2oCyQJewkeCb8KnAshC0QLSQtTC1ELOwsuCzwLQQsHCoYJ8Al5CSkI5QiaCEQH5geJBzkHAQbWBqgGcgY+BhIF4QWlBWkFOwUbBQEE6wTfBNYEwQSgBIMEcARfBEQEKgQgBB0EDQPtA9YD2QPoA+cD1wPIA8IDswOMA1YDIQLxAsACjAJjAkoCNwIdAf8B6AHbAcsBrgGJAWwBWAFEASkBBgDjAMIApgCWAJsAtgDUAOAAzgClAHIARwApABT//f/i/8j/tP+d/3j/R/8Z/vj+3v6+/pb+bv5M/iz+Df3z/d39xP2o/Yz9ev1v/Wb9W/1U/U/9QP0f/PD8yPy1/Lj8v/y8/K/8o/yb/JD8efxc/E38VPxf/Fn8Pvwe/Av8A/v9+/b77/vs++n75Pvg+9z71/vQ+8r7xfvC+7z7s/up+577lPuO+4v7i/uM+437j/uT+5b7lvuT+5D7kfua+6r7u/vH+9H72vvi++f75/vo++/7/PwJ/BX8I/w3/E78Yfxx/IL8lvyp/Lb8wPzN/OD88v0A/Qr9Gf0u/UT9WP1p/Xn9iP2Z/a39w/3X/ef9+P4J/hr+Jv4w/j3+Tv5e/mr+dv6G/pf+o/6u/rz+yv7U/tn+4P7r/vf+/f8B/wj/Ef8Z/x7/Jf8t/zL/NP82/zj/N/8y/y7/LP8r/yb/IP8b/xb/EP8K/wb/A/7+/vf+9P72/vb+7v7j/tv+2P7U/s7+yP7C/rr+sv6t/qn+n/6O/oD+e/58/nn+c/5t/mv+Zv5e/lj+VP5S/k/+TP5K/kb+Pv43/jP+M/4z/jT+Of5A/kT+RP5F/kT+Qv5C/kz+YP5z/n3+fv6A/of+kf6c/qr+t/6//r/+v/7B/sb+yv7S/uD+7/76/wT/Ef8h/y3/NP86/0T/U/9l/3T/f/+G/4//nP+r/7n/x//b//YADgAeACoAOgBOAGMAdgCMAKkAyQDrAQ4BMwFXAXwBpQHTAf8CJQJIAnECnQLHAuwDFgNLA4MDtgPeBAEEJgRQBH8ErATUBPgFIAVRBYcFvQXzBigGWAZ+BqAGyQb+BzMHXQd/B6sH6ggmCCUHrwbKBc4FOQVZBiwHdQj9Cp8MPQ2zDukP1xB5EMUQyxC0ELAQyBDlEPsREhE2EVsRYhE8EPEQmRBHEAIPsw8rDkkNHAvhCs8J+AlSCOIIuQjWCRMJNwknCPIIugiPCGIIGQeqBysGxQaTBpUGsAbDBr4GnAZlBiAF0gWBBTIE4gR/A/kDVwK9AkYB5gF/AP0Acf/y/4H/EP6c/jj98f3G/aj9jv1x/Un9E/zd/Ln8r/y3/MT8zfzL/LL8ffw1+/H7xfu4+8b75/wY/FH8iPyw/MP8ufyS/Ff8JPwS/Cj8T/xu/Hz8e/xn/DL72/t/+0v7Wfuj/An8bPy5/Ov9A/0N/Rf9Lv1M/Vr9R/0r/Tj9hv3d/dL9Ovxc+7j7j/u5++z8Cfwh/ET8bPyO/Kr8w/za/PT9F/1C/Wb9fP2R/a/9z/3h/eb97P34/fv98P3i/d794/3j/d792P3T/cn9u/2t/aH9kf17/Wn9YP1c/VT9Sf1A/T/9Qv1F/Uj9T/1a/Wv9f/2T/aX9t/3P/e/+Ev41/ln+fv6k/sj+6/8S/zz/Z/+P/7j/5AAPADQAVgB8AKkA1wEDASsBVQGBAaoB0AHzAhQCMgJLAmUCgQKjAsQC4QL7AxcDNQNXA3wDpgPVBAQELwRTBG4EfQSDBIUEiASSBKEEsgTBBMoEzwTTBNcE2wTaBNcE1wTZBNwE3ATcBOIE7QT2BP0FAQUFBQkFDgUZBSgFOQVGBVMFZQWABZ4FuAXOBeQF+wYRBiEGLAY2BkMGUgZfBmAGZAZqBm8GbwZsBmwGbgZ0Bn8GjgaeBqcGrQa3BsgG2gbrBwAHIAdDB2EHdweIB5cHogerB7cHxQfPB9IH1QfcB+UH6gfxCAAIGQg8CGoIogjQCN8I3QjsCSIJZwmZCasJrgmtCaUJlwmQCZ0JuAnSCeMJ7gnyCesJ2gnJCbsJrQmdCZAJiwmOCZQJlAmECVwJIQjjCK4IgwheCD4IHwf6B8kHigc8Bt4GeAYlBf8F/QX5BdYFmwVnBUYFLQUOBOoEygSwBJwEiwR2BFYEKwP6A88DsAOcA4gDagNAAxgDBQMMAx4DJgMhAxQDBALuAs4CqgKHAmkCQAH0AXYA3wBsAEwAYABU//j/c/8R/uj+zP6b/mL+Pf4n/hL+B/4e/kn+T/4E/XL8xvwl+6j7Y/tg+4r7uPvM+8T7rPuP+3b7a/t2+5H7rvvB+8D7sfur+878I/yB/K/8lfxc/Er8gPzc/Rr9Fvzz/Pz9Xv38/pH+9v85/3//2QA0AG0AYAAE/3X+5/54/g39cvyg+9b7Wvs7+0n7U/tM+z37Mvsq+yP7IPsj+yr7L/su+y37OvtX+2/7aftF+yL7F/sW+wH62Pqu+oT6VPpS+ub8Mv2l/kb9kvwL+r76UPqS+vb7Jfsu+zP7Nvst+yL7KvtF+1f7R/sZ+uz64fr++yf7Nvse+vP60vq/+q/6mvqI+n76dfpf+j36Fvnt+cD5kvlm+T35EPjf+K74gfhQ+Bj33veo93X3PPb89rn2dvYx9e71tvWJ9V71LvT69Mb0kPRX9B/z7vO/84fzRvMH8tbyr/KI8l3yMPIC8dDxn/F18VHxK/D+8M7wo/B+8FrwMvAG793vt++R72nvQ+8h7v3uzO6M7kjuFe327eLty+2y7aLtn+2e7ZHtce1E7Rjs9Ozc7NHs2Ozx7RntTu2P7druIe5N7kruFu3D7WTtDezQ7LbsuezA7Lvssuyv7LTstuy77NPtAe0t7T7tNO0h7Qzs8OzO7Lbst+zK7N/s7uz87QjtDu0P7RftLu1L7WLtbu117Xvte+1z7Wrtb+2H7aztz+3q7gDuHe5H7n3ute7o7xXvPe9l75LvyPAF8EHwfPC48PjxN/Fw8aXx1/II8jfyZPKU8sPy7fMV8z3zaPOU88Dz9PQx9HD0qvTh9R/1Y/Wr9fH2NvZ49qz2yPbT9tv27fcS91L3rPgX+IL44vk6+YT5uPnP+dH5z/nc+hL6i/tP/Df8//17/bL9z/31/in+aP63/xn/hP/pAD8AkQDtAVIBtgISAmkCxgMpA4QDxwPrA/kD/gQGBBoEOQRbBHcEjASlBNIFFwVtBcMGDQZDBmMGcwaGBqkG4QcnB2wHpwfXCAoITAiiCP4JUwmaCdYKCgozCkoKUApMCkcKQgpACkMKTgpnCo4KxAsAC0ELhgvUDCYMdQy2DOkNEw05DV4Nhw20DeUOEg47DmoOrA8AD1MPjw+uD8cP+RBVEM8RRxGlEeUSFxJGEmYSaBJNEikSExIVEi0SXBKjEv8TZhPOFDUUmxT6FU8VnBXhFhoWPxZUFmcWgBaWFp4WmBaOFogWhRZ+FnIWaRZsFnsWjRaWFpkWoBapFqkWmRaOFqIW0Rb7FwgXABb2FucWvxZ7FjMWAhXrFd8V0hXKFdAV3RXhFdkV1RXpFhAWJhYSFesV2BXZFc8VwRXzFokXNxdzFxMWgBY9FlMWahZPFiIWFBYbFhgWDRYNFhMWBxX0FgYWVxbEFxcXOhc2FxsW/Bb5FygXeBe5F8IXlRdRFxAW1haMFhEVWRSME/8UDhTVFhgXaRhmGPUZOBliGYgZoBmiGZoZlBmMGXkZYBlSGUsZNhkNGOQYyxi4GJcYZhg1GAoX3hevF4MXWxcpFuIWlBZSFh8V8xXIFZIVORS1FCMTuhOXE6ITqRObE4gTghOKE5oTtRPdFAAUBhPvE9ITzRPiE/4UDBQNFAsUERQWFAwT8RPWE8ETkxL9EawPiwz3CqgJUQknCcUKhgsDCzoLVgthC04LKQsRCwsK7wqZChcJnAlGCQoI0QiUCFEIAAeiB0gHBgbYBqkGcgZABhsF9wXHBY4FWwU0BRYFAAT0BOwE2gS6BJUEeARgBEYEMAQjBBsEBgPkA8YDugO2A60DoAOfA64DvAO3A50DcwM7AvUCqwJuAkkCNAIfAgUB7AHZAccBrAGJAWUBRgEvARkBAwDpAMgAogCBAHIAegCMAJQAhwBoAEEAHf///+b/zf+z/5z/jP95/1v/Mf8G/uL+xP6m/of+Z/5D/hb96/3S/c39y/24/ZL9bf1U/UX9Of0t/SX9H/0N/Or8w/yo/J/8n/yd/Jv8ofyp/KX8ifxh/ET8PvxC/D38Lvwd/A/8Avv0++n75Pvf+9T7yfvC+777uvu0+677rvuv+637pvue+5X7jfuJ+4n7i/uN+4z7i/uJ+4j7hvuF+4X7iPuP+5z7rfu9+8j70PvY+9/74/vk++n78/v//Av8Gfwq/D38Tvxe/HL8i/yj/LP8vfzI/Nf85/z0/P/9D/0n/UD9Vf1n/Xb9hP2U/ar9wf3V/eX99v4J/hr+KP4z/kL+VP5i/m3+d/6G/pX+n/6p/rf+xv7P/tX+3f7o/vL+9/76/wH/C/8T/xj/Hv8m/yv/Lf8v/zH/L/8q/yX/JP8k/yH/Hf8a/xb/D/8H/wP/AP77/vP+7v7t/uz+5v7f/tr+1/7S/sv+xv7C/rz+tP6u/qr+of6T/oj+h/6J/oX+e/5x/mz+av5m/mP+YP5e/lv+WP5U/k/+Sf5G/kj+Sf5J/kr+T/5W/ln+V/5V/lT+U/5W/mL+dv6H/pD+k/6Y/qD+qf60/sH+zv7W/tf+2P7b/t3+4P7n/vX/BP8Q/xr/J/80/0D/Sf9T/2D/bv97/4f/lP+h/67/vv/O/9v/5f/0AAkAHgAuAD4AUwBqAH4AjgCiAL0A2gD6AR4BQwFmAYkBswHnAhkCQAJfAoICrwLcAwMDJQNLA3gDpwPUA/4EIwRFBGgEjQS0BNwFCQU9BXUFrAXhBhUGRgZtBosGrAbaBxUHTwd9B6QH0wgPCDkIEgdrBmMFcAUbBagG9witCnQMGA2ADqcPjxA2EJYQuRC9EMIQ0hDjEPERBxEqEUgRSxErEPcQvhCIEE8P+g9gDmMNHAvVCs4KEAmCCRcI5Qj3CSwJSwk2CQEIzgisCIUINwe6BycGrAZtBnEGngbLBtoGwwaPBksGAgW6BXMFIwS4BCgDfQLcAl0B9QGHAQQAewAA/4//GP6Y/ib92P2w/Z39i/1y/U39HPzo/MH8sPyy/L38zPzb/N/8xvyO/ET8Bfvk++P7/vws/Gf8o/zU/Ov84fy3/H/8VvxV/Hb8n/y5/MX8y/zA/IT8E/uY+1r7f/vt/Gr8yv0G/S/9TP1b/V/9Zv12/Xb9Sv0F/PD9PP22/eT9fPy2/A/7zfvT++b79fwQ/Dr8YPx7/JT8tPzW/Pn9IP1L/W79g/2Z/br93f3u/fD98v35/fr97f3b/dX92P3X/dH9yv3F/bv9q/2d/ZP9hv1z/WL9Wv1Y/VX9S/1E/UX9Sv1P/VT9XP1p/Xv9j/2j/bT9xf3Z/fP+Ef4z/lf+fv6k/sb+5/8O/zf/YP+F/6v/1P/9ACMARwBuAJoAxwDvARUBPgFpAZMBuAHbAf0CHgI7AlYCcwKVArgC2wL6AxkDOgNdA4MDrAPZBAgENgRcBHkEigSSBJYEmASdBKUEsgTBBMsEzwTQBNME1wTaBNsE3ATeBOIE5QTpBO8E9gT/BQYFDAURBRYFHgUqBTgFRwVVBWUFewWUBa4FxAXXBekF/QYRBiEGLAY1BkEGTwZaBlwGXwZpBnUGewZ8Bn0GgQaJBpUGpQa3BsQGzQbaBu4HBAcXBy0HSwdwB5AHpge4B8cH0wfbB+QH7gf2B/gH/QgNCCUIQAhaCHQIjgipCMkI7AkICQ8JBwkNCTIJagmcCb0JzwnSCcIJqAmcCa4JzgnmCfAJ9gn+CgMKAQn7CfcJ9wn4CfcJ9wn5CfkJ7wnSCZwJWQkaCOwIyQioCIQIXQgxB/sHuAdnBw0GtQZyBlEGQwYwBgcF1QWsBY8FcAVJBRsE8QTQBLsErQSbBHsETgQhBAED7gPgA9ADuwOiA40DhgORA6IDpgOVA3IDRQMRAtkCoAJrAkACFgHRAVsAzABoAGQAmAChAEj/wf9k/0f/L/7v/pz+Zf5R/kr+Tf5i/nP+Tv3X/Sr8fvvx+437W/tj+5j72PwB/Aj78PvI+6j7pPu+++L7+Pv9+/f77Pvq/An8Vvy0/OP8xvyI/Hf8uf0m/W39af09/TP9eP38/ov/Av9e/7IACQBcAIsAdgAR/33+9P6K/hr9cPyX+9z7fPtv+377gPt2+277avtj+1z7XPtj+2r7a/tm+2b7d/uX+7H7q/uI+2j7Y/tn+1f7MfsF+sv6evpO+sf8Ff2d/k39m/wS+s76c/rG+y/7YPtx+4j7mvuT+3r7avtw+377gPtv+1z7X/uA+6n7sfuK+077IfsO+wL67vrY+sn6vvqq+ov6aPpD+hr57fm/+ZL5Y/kz+QT42Pip+HT4PPgH99L3mfdc9xz22faS9k/2GPXr9b/1jPVX9SX08/S+9In0V/Qj8+bzo/Np8z3zGPLt8r3yjfJd8ivx+fHN8arxh/Fd8S/xAvDZ8K/whPBb8DTwDu/l77zvlu9071DvH+7h7qLucO5S7j3uKO4P7fzt8u3o7dLtre2E7WTtUe1L7U/tXe117ZXtvu3z7jTuce6S7oXuUe4E7aztVe0Q7PDs8ez67Pbs6ezk7Ozs+O0C7RbtNu1R7VftRe0s7RTs+uzf7NDs1uzp7PvtBu0N7RTtGu0i7TPtS+1g7Wvtbu1w7XPtcO1n7WHtZe167Z3tw+3j7fnuDO4q7lvune7h7xrvQ+9j74nvu+/38DTwcPCx8PfxPPF68bHx5fIW8kDyZvKM8rPy1/L68yHzTfN686bz2vQZ9F30m/TU9RD1UfWS9cv2A/Y79m32kPap9sH23fb/9zH3gPfp+Fb4s/j/+UD5cfmL+ZH5m/nG+ir6zvuj/Hv9Hf1t/X/9hv2i/df+HP5x/tf/P/+a/+UANQCbAQ0BdQHIAhQCbgLaA0YDmgPJA9kD2gPbA+MD8wQIBBwEMQRMBHQEqwTwBTwFhwXGBfUGFQYwBlIGgwa/BwAHPQd2B7cIBghgCLQI+wk3CXAJpQnNCeMJ7gnxCe4J4gnTCcwJ0wnqCg8KRAqICtULJgt5C88MIwxrDKQM0gz8DSUNTA10DZwNyA36DjIOdQ6+DwMPOQ9eD4MPwBAjEKERGxF8EcAR9RIhEjgSLhIIEeARyhHMEeASCRJKEp4S+RNTE7AUGBSEFOkVQBWKFcYV8xYOFiMWPBZXFmoWaxZgFlUWUxZTFkwWPxY6FksWaBaAFokWjhaTFpEWghZ0Fn8WpBbHFtAWxRa6Fq4WkRZbFhsV5BW7FZkVgBV7FY0VphWyFaoVpRW6FeEV8xXWFaYVlBWmFbgVwBXyFnUXDBc8FtoWRhX+FhYWPxY/FiwWLxY/FjYWERXxFeoV8BXyFfUWCxZCFpsXCRdhF3MXOhb2FvAXOBeZF9EXyBeMFzYW3RaLFi4VnxTJE9wTUBOXFL4WVhe/GJsY+xkoGVEZcxmAGYAZgRmAGW8ZVBlAGTgZKxkOGO4Y1hi9GJAYVRggF/kX2BezF4wXYRcoFt8WlxZfFi8V8hWeFTsUzRRYE/ETuBOxE7sTrROJE3ITexOaE7gT0hPvFAsUFBQCE+gT3RPrFAkUJhQ1FDoUOxQ4FC8UIBQTFAMTvRLqEUMO4AxLCkcJWAl0ChoKvgsgC08LagtsC04LHQrxCsYKggoaCasJWAkiCO8ItwiBCE0ICgetB00HBgbWBqUGawY3BhcF/QXYBaUFdAVMBSsFDwT+BPUE5gTIBKIEgQRqBFUEPgQqBBYEAAPkA8kDtAOiA40DegN2A4cDpwPFA9ADuwOEAzIC2AKIAlECMQIdAgoB9gHgAcoBsAGPAWcBPgEbAQIA8QDiAM0ArQCIAGkAVQBIADsALAAcAAv/+P/h/8b/qv+P/3j/Y/9L/yv/Bv7i/sP+p/6M/nH+Uv4r/fn9zP26/cX91f3I/Zr9Yv07/Sz9JP0Y/Qj8+vzu/N/8yvy1/KT8lvyJ/IL8iPyX/J38j/xw/FD8Nvwj/Bb8EvwV/Bb8C/v6++776vvj+9P7v/uw+6n7ovua+5b7mfud+5z7l/uQ+4n7gvt++4D7hvuJ+4n7hfuA+3v7eft7+4D7h/uM+5T7ovu0+8H7yPvO+9b73fvi++b77vv6/Aj8FPwh/C78OvxH/Fv8dvyT/Kj8tPy9/Mr82fzo/Pj9C/0j/Tr9UP1j/XT9g/2S/af9vf3Q/d/97v4B/hP+Iv4v/kD+U/5h/mv+dv6E/pH+m/6k/rL+wf7K/tD+1/7h/ur+7/7z/vr/A/8L/xD/F/8e/yP/Jf8n/yn/KP8j/yD/IP8g/x//HP8a/xb/Dv8G/wD+/P74/vH+7P7o/uT+3v7Z/tj+1v7R/sv+x/7E/r7+tv6w/qv+pP6c/pf+l/6V/ov+fP5y/m/+bv5u/m3+bP5r/mj+Zf5g/lr+V/5Y/l7+YP5e/l7+Yv5p/mz+av5n/mb+Z/5s/nn+i/6a/qL+p/6u/rf+wP7J/tb+4f7o/ur+7f7w/vP+9f78/wn/F/8j/zD/P/9M/1T/Xf9q/3n/hf+P/5v/rf+9/8r/1//m//UAAQAOAB0ALQA7AEsAYQB3AIoAnAC1ANMA7wEKASkBTgFzAZgBwwH4AiwCVQJ1ApgCwwLvAxIDMANPA3EDlgO+A+gEEQQ0BFQEdgSbBMQE8wUpBWMFmgXKBfsGLQZbBn8GngbDBvcHOQd4B6gHzAf4CDAIRQfmBvIFwwUFBUEGfwhTCjoL6Q1LDmoPUBAAEHYQtxDUEN8Q4hDhEOIQ7REEERYRFxELEP8Q9BDdEKQQMw9xDlQM/Qu0CrQKBAmCCR8I7Aj6CSsJRwkxCPwIzwi2CJcIUgfiB1wG5wahBpUGsgbWBuIGyAaQBksGBwXHBYUFNATEBDEDigLsAmoB+gGFAQIAewAB/5D/F/6W/iD90P2p/Zj9iv1x/U39Ifzz/M/8vfy4/Lz8x/zZ/Or86fzF/If8Sfwi/B38M/xa/I/8x/z0/Qb89fzK/J/8kfyr/Nn8/f0M/Rf9Kf0q/Ov8afvg+6n76vxz/PD9Mv1M/WX9iv2i/Z79iv16/V/9Gfy2/Ib8x/1S/aj9cvza/FL8GPwZ/Cr8Qfxm/Ib8ivx7/H38nvzM/O/9Dv01/WD9g/2f/bz92f3o/ej95/3o/eb92/3P/c39zf3F/br9t/27/bj9qP2U/YX9ev1r/Vz9VP1U/VP9T/1L/U79VP1Z/V79Zv11/Yf9mv2s/b/90v3m/f3+F/43/lr+gP6l/sf+6P8M/zP/Wv9+/6H/x//tABQAOwBkAJAAugDgAQYBLgFYAYIBqAHNAfECEwIzAlECbgKOArEC1QL3AxcDOQNeA4YDrgPXBAQEMwReBH4EkQSbBKIEpwSqBK4EtgTBBMsEzgTOBM8E1QTdBOIE5QToBO4E9gT/BQQFCQUOBRQFGwUgBScFMgVABU0FWAVmBXkFjwWkBbcFygXdBe4GAQYVBigGNgZBBkwGVwZcBmIGZQZyBoQGjgaRBpIGmQaiBq0GugbMBt0G7Qb/BxYHLQdBB1YHcweXB7gH0gfpCAAIEggbCB0IHwghCCMILQhICHEIngjECN4I6wjvCPUJAwkVCSIJJgkvCUoJdQmjCcwJ5gnnCcwJqAmcCbMJ2gnyCfcJ+goIChsKKAouCjIKPApJClMKVQpNCj0KJAn/Cc4JmQlsCUkJKQkDCNQIoghtCDAH6AeUBz0G7gaxBogGZwZEBiAGBgX4BeoFzAWeBWcFMwUKBPEE4wTRBK4EgARZBEUEPAQyBCYEHAQVBBAEDgQSBBQECAPkA6sDZgMdAtUCjQJGAgsB2QGaATUAuABkAGsAqgC/AHT///+2/6T/iv82/sj+f/5s/nT+f/6D/m3+G/2I/OH8Wvv/+8X7p/uw+9/8HvxM/Fb8OfwI++T76PwL/C78PPw//EP8RvxE/FP8jvzg/Q788Pyv/J/86f1i/bf9vf2V/X/9qP4Q/pn/I/+a//cAPgB0AI0AbwAO/4j/C/6g/iD9aPyT++37pfuf+6b7oPuZ+5v7nvua+5P7lfug+6j7qfuj+5/7pvu8+9L71fvG+777zPvd+9P7qftv+yj61Pqw+yb8Uf2a/hD9UPvz+vb60Psx+477tfvL++r8A/v7+9n7ufup+6b7pvuf+5T7k/un+8T7zPuu+3/7YftZ+1P7Pfsh+w77Afru+tD6rvqO+mv6QvoW+en5vPmQ+WT5OfkJ+NT4nPhm+C/39Pe593z3Ovbz9q/2ePZK9hz16PW09Yb1WPUl9O/0ufSC9EP0BPPP86jzgvNU8yDy7PK68ofyVPIp8gXx4vG58Y3xYfE18Qfw2/Cy8I3wZvA78BLv7e/L76Xvdu897wLu0u6y7pzuh+5v7lfuRO4x7hjt9+3Y7cXtv+3C7czt3e3w7gXuH+5I7n/use7G7rDue+417eXtkO1I7SXtJ+0z7TDtIe0b7SftOO1D7UztWO1j7V/tTO007RztBezz7O7s+e0L7RftHe0f7SLtKO037U/tZ+1y7W/taO1m7WftY+1Z7VPtWO1t7Y/tuO3c7fLuAe4X7kTuiO7U7xXvQu9i74Xvtu/x8C3waPCn8O7xN/F58bTx6/Ie8knybfKP8q7yyPLi8wTzMvNi85HzwvP/9EP0gfS59PP1MvVr9Zn1wfXv9iD2UPZ+9qv21Pb09xj3Vfex+Bf4bPiv+Of5GPk5+VP5gfnf+nL7J/vl/Iv8/P0u/Tf9Pv1c/ZL91/4p/oj+5v81/3v/0ABBAL4BKQF2AbkCDQJ6Au8DUQOPA6wDswOxA7ADsgO6A8oD5AQHBC8EXQSSBM4FDgVLBYMFtgXlBhEGPgZyBq0G7AcsB28HuggJCFEIjgjECPsJMAlYCXMJhgmUCZcJiwl3CWoJbAl8CZsJzgoWCmoKvwsUC24LywwhDGUMmQzFDOwNCg0hDTwNaA2mDe4ONQ52DrAO4g8QD0QPjg/zEGwQ4RFCEY0RyhH3EgsR/RHWEa4RlxGUEaMRxBH9EkYSkhLaEygThhP0FGIUxhUbFWAVlRW3Fc0V5BYBFhwWKRYlFh0WHhYmFiMWEhYHFhYWPxZnFnkWeBZzFmwWXxZTFlUWZhZ4Fn0WehZ4FnMWXhY3FgQVzRWTFVkVMBUpFUEVYRVwFWwVZxV4FZkVqhWYFXoVeRWWFawVqxXFFikWqxbbFoMV8xWrFdEWIhZVFmkWehaIFnMWNhX1FdUV1xXgFdgVxBXMFiAWxRd5F9gXtxdPFwcXFRdiF7MX3BfNF4YXHRazFlgV5hUiFAsTEhLbE7oVYBcQGDYYwBj8GSoZUBldGVkZXRloGWgZUxk6GSsZHxkJGO8Y1BiyGH4YQxgWF/oX3xe5F4kXVBcWFtMWlhZnFjAV1hVZFNYUaxQgE/QT5RPlE9gTrxOAE24ThBOrE8sT4xP+FBkUIxQUE/sT8BP9FBwUPhRUFFwUWRRTFE4USxRNFD4T3RLKENIONQupCfMJawnOCoILDgtSC20LdwtvC0sLFwreCpoKPQnRCXgJPwkUCNwInQhpCD0IAAejB0AG+AbKBpsGYQYtBg8F+gXbBa8FggVfBT8FIQULBP0E7QTPBKkEigR4BGcETgQwBBQD/wPrA9UDvQOlA44DeANrA3ADiwOxA8sDwwOWA04C/AKqAmUCNAIYAgkB+gHlAcoBrwGSAW4BQwEXAPMA2wDLALsApQCKAG0ATwAwABP////1/+//4f/I/6n/jf91/1v/Pf8Z/vP+zv6x/pz+iv50/lj+Nv4M/d79t/2p/bf9yf2//Y79Tf0g/Rb9Hf0c/Qb86fzU/Mv8x/y//LD8nfyI/Hb8bfxw/Hn8fvx7/Gr8TPwn/Ar8BPwP/Bj8D/v7++376Pvi+9P7vvuv+6T7mPuO+4n7jPuP+477i/uI+4P7e/t0+3T7eft++3/7fft5+3X7c/t3+4D7iPuM+4/7mvuq+7f7vfvB+8r71Pvc++L76vv4/Aj8Ffwe/Cb8L/w5/Er8Yvx+/Jb8p/yz/MD8z/zh/Pb9DP0h/TX9SP1c/W/9gf2Q/aP9t/3J/df95v33/gr+Gv4q/jv+Tf5c/mj+dP6C/o/+mP6i/rD+vv7G/sr+z/7Y/uD+5f7q/vL++v8B/wj/EP8X/xv/Hf8g/yT/Jf8i/yD/IP8f/x3/Gf8W/xP/Df8D/vz+9v7y/u7+6/7o/uP+3f7Z/tf+1P7P/sr+x/7F/sD+uv61/q/+qv6k/qL+oP6Y/ov+f/56/nr+ef53/nf+eP54/nb+c/5v/mv+af5t/nL+c/5v/m7+c/56/n7+fv5+/n/+gP6E/o/+n/6t/rb+vf7F/s7+1v7g/u3++P79/v7/AP8D/wb/Cf8Q/xz/KP80/0T/V/9l/23/dv+D/5L/mv+i/7D/xv/Y/+H/6f/2AAgAGQAnADQAQABMAFwAbwCDAJUAqgDIAOoBBgEcATYBWgGEAa4B2gILAjoCYwKJArAC1wL3AxIDMANTA3QDjgOpA80D9gQdBEIEZwSOBLYE4gUYBVMFigW4BeIGEQZDBnEGmAa8BucHJAdsB6gHygfkCBIIQggdB1YGGQUYBQwGKAgFCgYLwg0eDiwPBg+9EFIQuhDrEPEQ4BDQEMwQ0hDdEOMQ5BDuEQgRJBEiEOEQUQ9tDj0M5AugCqQJ9QlyCQwI2QjnCRoJNgkbCOEItQikCJMIZQgUB7MHWQcXBvQG6gbpBtoGsQZxBikF5QWqBW4FHwSwBCEDggLrAmkB9QF/AQAAgAAI/5T/G/6g/jL95P25/aP9jv1x/Uv9Ivz7/N78z/zM/M/81fzf/Ov87vzb/LH8hvxv/HP8ifyo/Mr87f0I/Qz89vzU/ML81/0O/Un9af1v/Xj9jP2K/UL8uPw4/Bz8e/0U/Yj9r/2p/a/9zf3i/c79m/1k/Sb8x/xQ/Av8O/zC/S79LfzZ/Iv8c/yF/Kr84f0c/TL9Bvy+/KH8wfzz/Qv9EP0m/VX9hf2j/bT9xP3W/eL95/3k/dj9yv3F/cf9xP20/ab9rf3F/dH9wf2f/YH9cP1k/Vr9Vf1W/Vn9Wv1a/V79Y/1n/Wv9df2E/ZX9pv23/cv94f32/gz+JP5A/mD+gf6j/sX+5v8J/y3/U/95/53/wf/mAA0ANwBhAIsAswDaAQIBKgFSAXwBpQHLAe8CEQIzAlMCcQKPArEC1QL3AxcDOQNfA4gDrwPWBAIEMwRjBIUEmASjBK0EtAS2BLYEuQTCBMsE0QTTBNUE3ATkBOsE7gTxBPgFBAUPBRUFGAUbBSIFKQUvBTcFRAVTBV8FaQV2BYkFnQWtBb0FzwXjBfUGBQYZBi4GQAZNBlcGYAZjBnAGdgaEBpYGoQajBqUGrwa8BscG0gbjBvgHDwcmBz4HVQdrB4IHoQfHB+kIBgghCD0IUQhWCFAISghMCFYIbAiSCMUI+AkZCSEJFQkCCPYI+wkQCSYJNglBCVMJcwmfCc0J7QnuCc4JowmRCaQJyAnjCe0J+AoQCjIKUApmCncKiwqcCqUKnwqJCmkKRwonCgoJ8gnbCcAJlwlgCSII5AioCGYIGQfDB20HIQbiBqwGeQZMBjMGNAZCBkMGJwX1BboFgQVUBTcFKAUWBPMEyASoBJwElwSMBH8EeQR9BIAEfARwBF4EPgQKA8UDeAMpAtoChwIvAd4BnQFhARAArwBsAHQArgDMAJwARQAM//f/zf9q/vL+o/6P/pn+nf6L/lD93/1L/MX8dPxT/ET8OvxB/GL8j/yw/LD8jPxZ/Dn8Q/xm/IH8iPyO/J/8q/yk/KH8yP0S/T/9JPzk/NL9Gv2R/er9/f3i/c/96v5A/sT/Wv/iAEMAfQCWAI8AYAAI/53/Nv7J/jL9aPyZ/Ar70vvL+8r7w/vE+8/71PvN+8f7zPvZ++L75fvg+9f70PvX++v8Avwb/EP8f/yy/LL8c/wN+6H7TPtC+7/8sv2Q/a786fvZ+zv7SPuj++f8A/wc/ED8WPxS/Dr8H/wG+/H73/vO+7v7qvuq+7r7xfu8+6f7nvuh+5z7g/tj+077Qvsw+xH67/rR+rP6kPpp+kL6Gvnz+cv5n/lt+Tb4/vjH+I/4U/gW99r3mfdT9xD22Pao9nj2RPYU9er1wPWN9VL1F/Tc9J/0ZvQ39BDz5vO0837zSfMV8uHysPKH8mLyPPIS8efxvPGP8V/xL/EG8OHwu/CR8GjwQ/Ah7/vvze+Z72HvMe8O7vbu4+7M7rPunO6G7m3uVO5A7jbuNO447kDuTe5a7mPuce6N7rru4u7s7tDum+5a7hDtvu137VXtWu1p7WftWO1U7WLtde177Xftc+1x7WrtWe1A7SXtD+0F7QztHe0t7TTtNO017TjtQe1S7Wvtf+2C7XXtZe1f7V7tWu1S7U3tUu1k7YTtre3V7fLuBu4c7kLue+6/7wHvOO9i74vvve/58DXwbPCm8OnxMPF08a7x4/IU8j7yY/KF8qPyuvLO8uzzGfNO83/zsPPn9CP0XPSQ9Mf1A/U79WL1gPWh9c32APY79nv2tfbg9wL3Mfd799D4G/hX+I34v/js+SP5gvoW+sT7Zvvn/Ez8mvzP/O39Bf0n/Vb9kP3X/ir+f/7J/w7/Zf/aAFoAxgEVAVcBpwINAn0C5AMzA2IDeAN7A3cDcQNxA30DmgPBA+gEDgQ4BGoEowTdBRkFVwWUBckF9gYkBlwGnQbdBxkHVgeYB9kIEghDCHIIoAjICOsJDAkqCT4JQgk6CTMJMwk7CVAJewm+CgwKWAqlCvwLYAvEDBgMWgyNDLMMxwzPDN8NDA1WDaoN9A4vDmEOkQ7HDwkPWw/AEC4QmxEAEVoRoxHTEeMR1RG2EZQRexFuEXERhxGzEe8SLhJqEqsS+xNeE8sUNxSXFOYVJBVOFWkVgRWfFcAV2RXhFeEV6BX2FfwV8hXjFe0WFBZDFl4WXxZSFkQWORYxFi0WLxYzFjkWQRZLFkoWORYYFe0VtRVuFSgU+hTzFQcVHhUoFScVJxUzFUoVWxVgFWQVfRWcFZ0VexVxFboWOxaDFkkVxBVxFZMV/RZgFpsWuxbEFqgWYRYLFc8VuRW3FaoViBV3FbcWYhdDF+4YGRfVF3IXOBc8F24XshfiF9cXiRcXFqcWMRV6FGYTQBKtEyoUnxZfF7oYeBjQGQsZNhlDGTkZOBlHGVIZRhktGRcZBhjxGNUYthiRGGQYOBgaGAUX5RexF3QXORcCFsgWjhZUFgYVlRUMFJAUQBQaFA4UCBP5E9YTpBN+E3sTlxO4E9AT6xQPFC8UNxQlFA8UCxQeFD0UWRRqFG4UahRoFGsUdRSCFG8T6xKUEFANjQscCbkJigofCtQLSAtyC3sLdgtjCz4LDQrWCo4KMAnKCXkJQQkOCMwIiAhTCCYH5AeFByIG3QazBogGUwYjBgcF9AXXBa8FiAVrBVIFNwUfBQsE8wTRBK0EkwSGBHcEXAQ5BBwECQP4A+EDxQOtA5oDhwN0A2oDcQODA40DgQNhAzgDBwLJAoACPgIUAgEB9AHeAb8BoQGIAW0BSgEeAPMAzwCyAJ0AiwB7AGoAVAA4ABwACf/8/+v/y/+h/33/Zv9U/z3/G/7y/sj+pf6K/nr+bv5e/kP+Hv31/c79rf2c/Zv9of2W/W79Nv0M/Qj9Hv0s/Rv88fzI/LP8r/yt/Kj8n/yR/H38ZfxR/Ez8Wfxu/Hj8a/xJ/Cb8FfwX/Bj8Cfvv+9n7zvvH+737svup+6L7l/uK+4T7g/uD+4L7gvuE+4P7e/tw+2v7bvtx+3L7c/t0+3T7cvt0+3z7hfuJ+4r7kfuf+6v7svu2+777yvvU+9z75vv2/Aj8Ffwd/CP8LPw2/EP8Vfxs/IT8mvys/Lv8yvzd/PT9DP0g/TD9QP1T/Wn9ff2O/aD9s/3E/dP94v3y/gX+Fv4m/jf+R/5V/mL+cP5+/ov+lf6g/q7+uv7A/sT+yP7Q/tf+3P7h/uj+8P73/v7/B/8P/xP/Fv8a/x//If8g/x7/Hv8c/xf/Ef8O/wz/CP8B/vn+8v7s/uj+5v7l/uP+3/7b/tf+0v7M/sj+xv7E/sH+vv66/rX+rf6n/qT+oP6X/o3+iP6J/or+h/6D/oT+hv6H/oT+gv6A/n/+f/6B/oT+gv5//n7+hP6M/pH+lf6Z/p3+nf6e/qX+s/7C/s3+1v7f/uf+7/76/wj/E/8Y/xj/GP8Z/xr/Hv8n/zP/P/9K/1r/bP97/4X/kP+g/67/tP+5/8j/3v/v//b//QALAB4ALgA6AEYAUwBiAHMAhwCcAK4AxADhAQEBGwEwAUgBbQGZAccB9QIhAksCdAKgAswC7AL8AwoDJQNPA3YDjgOiA78D5QQNBDUEXwSJBLEE2gUMBUUFfQWqBdIF+gYmBlYGiAa2BuIHFQdWB5YHuwfHB+IIFggcB48GbQVVBRQGCAfdCesLrQz1DdsOlA9QEBIQsBD9EPkQ0xC6ELsQxhDKEMgQzRDlERERNhEvEN0QOA9IDh0M1QujCrAJ/QlwCQAIxQjSCQYJHQj0CKsIewh3CH8IcAhACAEHwweIB1EHIAb1BskGkgZNBgMFvgWGBVAFCASfBBMDeQLmAmYB8QF+AQgAkQAZ/6D/J/60/lP+C/3c/bv9m/13/U39Jf0C/Or84fzm/PH8+vz9/Pv89Pzi/Mn8tvy3/M386/0C/Q/9F/0Z/RH8/vzt/Pj9Kv11/bb91f3a/d395P3O/Xr8+vyX/Jf9Af2U/f7+G/4J/fr9//3+/dn9kv1A/On8efv7+6z7yvxG/Mf9Avz6/OT83Pzm/Qr9V/2z/db9nv1D/SD9Tv2I/Y39a/1c/Xn9oP2v/av9sf3Q/fj+EP4J/ez9z/3D/cT9vP2o/Z39tf3l/gT98v29/Yn9av1e/Vn9Wv1f/Wb9av1s/W/9cv11/Xr9hP2S/aL9sf3C/df97v4F/hv+M/5M/mb+gv6h/sT+5/8J/yr/Tv92/53/wv/nAA4AOgBkAIsAsgDcAQcBLwFWAX4BqAHPAfECEAIyAlQCcwKRArMC2AL7AxsDPANjA44DtQPaBAUEOARqBI4EogStBLgEvwTABLwEvQTEBM8E2QTgBOUE6gTvBPQE9gT5BP4FCAUTBRoFHQUiBSkFMQU3BT4FSwVbBWYFcAV9BZEFpAWxBb4F0gXnBfkGBwYYBi0GPwZLBlYGYgZsBoAGhwaTBqIGrAawBrUGxQbYBucG8gcDBxsHNgdQB2gHgQebB7oH4ggMCC8IRwhdCHQIhAiDCHYIcAh8CJYItwjfCQ0JNQlFCTUJEgjwCOEI6gkECR4JLwk5CUYJYAmLCb8J6Qn1Cd8JtgmbCZwJtAnPCeUJ/QodCkYKcAqYCrwK2QrqCugK1Aq0CpEKdQpmCmMKZQpeCj8KBAm4CWsJJgjlCJ4ITQf2B6EHVQcRBtIGmAZsBl4GbgaGBokGawY4Bf4FyAWaBXsFagVZBTsFGAUCBPwE9QTiBMsEvwTCBMMEtwSdBHoETAQTA88DhgM5AucCjAImAcMBdAE7AQUAywChAKcA1ADyANgAlwBcADD/8v+O/yL+3P7E/r7+rP6A/jH9v/1F/O38zvzW/OT86/z0/Qb9GP0c/Qf83fyu/Jf8pfzG/Nr83vzn/P79Cfz6/Oz9DP1R/X/9av00/Sb9Zf3J/hX+LP4i/h/+QP6S/w3/mgAdAIAAugDEAJ4AU//8/7D/Z/77/k79dPyw/Df8Cfv9+/T78Pv5/Ab8B/v++/v8BfwT/Br8G/wY/BD8BvwG/B78TvyZ/Qf9kP4B/hf9tP0B/Ef7y/u5/B78xf07/SH8hfvh+6P7y/wO/DX8Svxo/Ij8l/yT/Iz8hPxw/FH8Mvwa/AL76vvd++X78vv1++376vvp+937wfuj+5H7hftx+1L7MPsT+vj62/q6+pj6dfpQ+ir5/vnK+ZP5XPkn+O/4svh0+Db39/ez93L3OfcG9tX2o/Z39lH2KPXz9bT1cvU09Pv0yvSe9HT0Q/QM89Tzn/Nr8zfzCfLj8r/ylfJo8j3yE/Hm8bLxgPFX8TLxDPDj8LvwlvBz8E7wI+/x77vvie9j70rvN+8k7w/u+u7l7s/uu+6v7qnuqO6n7qnuru6y7rPuuO7M7u/vDu8R7vLuv+6B7jbt5O2h7YPti+2b7Znti+2I7Zbtpe2k7ZbtiO2B7XvtbO1R7TLtG+0X7SbtPO1K7UztTu1T7VztZe107Yntme2X7YTtb+1j7V7tWe1U7VLtVu1l7YLtq+3X7f3uGu407lLueO6r7ujvJ+9e75Dvx/AF8ELwefCv8O7xNfF28a3x3PIF8ifyRfJj8oPyofK58tjzBfM983Pzo/PT9AX0NfRi9JX00fUJ9TD1SfVh9YD1qfXg9if2dPa09uP3EPdI94j3x/gD+D74d/iy+Qb5kfpL+v/7e/vA+/f8PPyG/MH85/0G/Sj9U/2L/dH+Hv5j/qb++v9q/+cAWACyAP0BSgGgAgACYQK4AvgDHwMxAzUDMgMvAzYDTwNyA5MDsAPUBAQEPQR2BK8E7gUvBWcFlAXCBfsGPAZ3BqkG3AcZB1kHjge2B9kIAAgsCFwIjwjDCO4JCwkYCR4JIgkoCTgJXAmUCdYKFQpTCp0K+wtgC78MEAxSDH0MjgyPDJsMyg0WDWoNsA3kDhEOQQ58DsYPHw+BD+YQTxC9ESkRfhGqEbERohGNEXYRXxFKEUIRTRFqEZYRyRICEj8ShBLWEzcTnhQCFFkUoBTWFP4VHRU8FWEVghWWFZ0VphW6FdEV2BXRFdEV6RYRFjIWOxYwFh4WDxYIFgMWARYBFgsWHhYwFjMWJBYGFdkVlxVGFP4U2RTYFOEU5hToFPMVBRUTFRsVIRUvFUwVdRWRFX8VRxUpFWgV8hZcFksV0hVkFV0VtxYtFokWvRbNFrcWfBYrFeEVrxWVFX0VXRVFFWQV4BarF4AYEhg8GBAXuRdpF0kXaBevF+YX3heSFyIWmxXlFOETtBLhEvUUDRWvFykYGRiWGOIZFxkvGSsZJRkrGTAZJBkMGPUY4xjNGLAYkRhwGE8YLxgWF/oXzxeTF1gXKhcCFs4WhBYnFbsVRxTdFJAUZBRKFDAUEBPoE7oTkROAE44TqxPFE9sT/RQtFFEUUhQ4FCIUJxRBFGAUdRR/FH8UfBR8FIQUlhSoFIUTzxIvD60M4gqwCa0JyQpyCxILZgt+C3wLbwtSCycK+ArGCoYKMwnVCYIJPgj+CLkIdwhBCAwHwwdlBwgGxgaZBnAGQQYaBgIF7QXOBaYFgwVsBVsFSQUyBRgE9wTSBLEEngSUBIQEaQRJBDAEHgQLA/ED2APFA7UDnwOCA2cDVgNKAzcDHQMHAv4C9QLTApICSAITAfkB6QHRAa4BjQF0AV4BQgEdAPEAyACjAIcAdABpAF8ATwA5ACYAGQAJ/+f/sP91/0z/O/8z/yH/Af7c/rj+mP56/mL+Uf5B/in+CP3k/cX9qf2Q/Xz9cv1o/VP9Lf0K/QL9F/0v/Sj8/fzJ/KT8lPyP/Iz8jfyN/IP8aPxF/C78L/xG/GH8a/xf/Ef8M/wn/Bv8BPvk+8b7svul+5z7mPuX+5f7kfuI+4P7gft/+337fvuC+4L7evtu+2b7Zvto+2f7aPts+3D7b/tv+3P7e/uB+4P7h/uR+577pvus+7T7v/vJ+9P73/vx/AT8EfwZ/CD8Kvw2/EL8Tvxf/HX8jvym/Lr8y/zc/PH9Cf0e/S79Pf1P/WX9e/2P/aD9sv3C/dL94P3w/gH+Ev4j/jP+Qf5O/lv+af52/oP+j/6b/qf+sf63/r3+w/7K/s/+0/7Y/t7+5f7t/vX+/f8D/wb/Cv8Q/xX/F/8W/xb/Ff8T/w3/B/8D/wP/Av7+/vj+8f7r/uX+4P7d/tv+2v7Z/tX+z/7L/sn+x/7E/sH+wP6//rn+sP6o/qT+of6Z/pL+kv6W/pf+lP6R/pT+mP6X/pP+kP6R/pP+k/6T/pT+kv6Q/pL+mP6g/qf+rf60/rj+t/62/rv+x/7V/uH+7f73/wD/CP8U/yP/L/80/zT/NP80/zX/OP9C/1D/XP9m/3P/gv+O/5f/pf+5/8r/0v/X/+P/9AACAAsAFgAoADcAQABFAFEAYQB0AIkAoQC5AM4A4QD3AREBKwFEAWIBhwGxAd0CCgI3AmICjgK/Au0DBwMKAwoDHgNGA20DiQOgA8AD5QQIBC0EWASFBK0E1AUCBTgFbQWcBcYF7AYQBjkGcAatBuAHCgc9B3kHowetB7kH5wgJB7EGuwWkBUEGDwfWCegLpgzKDXQN/g66D64QjhEAEPsQyBCtELcQwhC9ELYQwhDmEQ8RIREAEJsP8A8HDfEMwwumCrwKBwlyCPoIugjHCPsJCAjICGkINQhFCG4IeQhbCCoH+QfDB4EHNgbvBrIGeQY7BfYFswV6BUgFBQSfBBQDewLrAmwB+QGHARYAowAq/6z/Mv7H/nP+M/4D/dn9sf2H/Vz9Nf0U/P389Pz8/Q/9If0m/Rz9Cfzz/OD82/zs/RH9Ov1S/VX9S/0+/TL9KP0o/UX9gf3N/gv+Kv4z/jP+Kf4A/az9SP0H/RD9X/3K/h3+Pf4w/hX9/v3m/bn9cf0X/LT8QvvM+3/7kfwC/JX9B/0+/UP9I/z4/PH9OP2v/fv96/2z/bX+A/5N/kj+Bf3O/cf90P3C/af9qf3a/h7+Sf5A/hD93f3C/bv9sv2f/Zv9wP4B/iv+GP3W/ZH9af1c/V39Yv1r/XX9ev17/Xv9ff2B/Yb9jv2b/an9uf3M/eP9+v4R/ij+Qf5a/nL+i/6o/sz+8f8T/zH/U/96/6L/yP/sABQAQABqAJAAtgDiAQ4BNgFbAYEBqgHQAe8CDQItAlECcgKSArUC2wL/Ax4DPwNoA5QDugPdBAYEOQRsBJIEpwS2BMMEywTJBMQExATMBNcE4gTsBPME9wT4BPoE/QUABQUFDAUUBRoFHgUjBSwFNQU7BUEFSwVYBWMFbQV8BZIFpAWwBbwF0AXmBfgGBgYWBioGOgZDBk4GYAZzBooGkwacBqsGtwa+BsoG3gb3BwkHGAcqB0UHYgd+B5kHtgfYCAEIMAhcCHcIgwiMCJwIqwirCKEIogi4CNoI+QkQCSgJPAk8CSEI9gjTCMkI1QjtCQMJEwkfCS8JSgl0CaoJ3woACgEJ6AnICbYJugnRCfAKEwo3Cl4KjArACvMLGAskCxcK+grbCsQKugq/CtAK4QrfCrcKawoOCbgJbgkmCNYIfwgpB9YHiQdABv0GxQagBpoGrAa/BrkGlQZjBjAF/wXSBa8FmgWHBW8FWQVQBVEFSAUrBQcE8ATnBN4EyASkBHcERAQMA9ADjwNHAvQClgIwAcsBewFJATEBHwERARMBJQEwARcA2wCTAE0AAv+t/17/KP8H/ub+t/52/iT9yv17/VL9Uv1o/X/9j/2c/aH9lv15/U/9Ifz7/O38+/0W/Sj9MP09/VL9V/1F/Tr9W/2c/cj9wP2h/aL92P4i/lb+Z/5o/nf+qf7//2r/1gA8AJoA4ADtAK4AQv/k/7L/iP8h/mb9iPzY/Hf8T/w2/CL8Hvws/Dj8Nvwv/Db8SPxU/FL8TfxM/E38TPxU/HL8s/0o/d3+v/+A/7j/N/4x/Rn8U/wM/C78e/yn/Ir8Q/wT/B/8Tfxy/IX8nPy8/ND8zvzG/Mr80PzD/KP8hfxx/GD8TPxB/Ef8U/xT/Ef8Ofwt/Bv8APvn+9b7x/uw+5H7c/tZ+0H7J/sJ+uj6xfqg+nr6T/od+ef5sfl++Uj5DPjN+JH4VPgV99X3mvdl9zP3BPbb9rb2i/ZU9hL1zfWP9Vv1MPUH9Nf0nvRh9Cnz9fPB84zzYPM88xny7vK+8pLyZ/I48gPx0fGo8YbxYfE38Q7w6PDF8KHwePBJ8BPv4O+375zvie9472fvVu9E7zDvIO8X7xXvFO8P7wrvBe8A7vvu/O8L7ybvPe897yHu8e6w7mDuDu3Q7brtw+3O7cftuu247cTtzO3B7artmO2R7Y3tge1m7UXtLu0t7UDtVu1i7WTtau147Yftke2c7artte2v7Zrtge1u7WHtWe1U7VbtXe1r7Ybtru3c7gfuLe5M7mbugO6j7tjvGO9W747vyPAK8EvwhfC98P7xRvGJ8b7x6fIL8h/yKvI58lfyfvKj8sby9PMt82jzmPPB8+f0DfQ39Gj0oPTU9Pz1F/Uw9Uj1ZPWL9cn2HPZv9rL25PcQ9z/3dPe09/v4QviN+Pj5nvpp+xn7ffup+9j8KPyC/MH84Pz0/Q79Mf1c/ZP90f4N/kz+mv8E/4D/+QBfALIA+wFBAY4B4gI1An0CswLYAvAC+AL2AvYDBgMgAzoDUANuA5sD0wQKBD8EegS5BPMFJAVWBZIF0AYEBi8GXwaeBt4HDgcrB0cHcQerB+wILwhwCKsI2Qj3CQwJHAkuCUUJagmcCdUKDApACnsKwwsXC28LxwwTDEYMWwxfDG4MmwzfDSUNXw2NDbkN6w4pDnkO1g84D5kQARB6EPMRTBFwEWoRWRFPEUURNBEfERYRHBEsEUURbBGkEeQSJBJkErATChNpE8EUDRRRFIsUuRTfFQUVKxVGFVIVXBV0FZgVthW+FbkVvRXUFfMWBhYDFfEV3RXRFc0VzhXTFeMV+xYSFhsWExX6FcgVeRUdFNcUvBS8FLcUqRSrFM8U/xUZFRMVAxUDFRsVQBVZFU4VJhUVFVMV3BZZFmkWARV4FTQVWxXEFjIWfhahFp4WfhZLFg4VzxWXFWkVRBUnFSQVWhXhFqwXihg4GIEYXRfyF4IXSBdWF5MXyBfLF48XHxZ4FYoUYhNaEv4TnxUFFo0XrxhTGKwY5xkNGRoZGhkaGRQZAhjoGNIYwBirGJAYdBhaGD0YHBf4F9AXoBduF0gXMRcUFtUWaRXkFWQVBhTUFMEUsRSKFE0UChPQE6MThhOCE5kTuhPWE/IUHRRSFHMUahRIFDMUPhRdFHoUjBSUFJYUlBSRFJMUoBSlFGATaRF8DtEMKQpcCcoKJQrMC0ULeAuEC4ELbgtHCxIK3QqqCnEKJwnSCX0JMgjvCK4IcAg1B/YHrAdZBwcGwwaNBl4GNAYVBf4F5AW/BZYFdQViBVkFTgU7BR4E9wTQBLUEqASfBI4EdQRbBEcENAQfBA0EBAQAA/EDywOWA2QDPgMcAvQCzAK2ArkCxAK2AoYCRQIQAfIB4AHHAaUBgQFjAUgBKgEHAN8AuACVAHsAawBiAFUAPgAiAA4AB//8/9j/mv9Z/zD/I/8d/wv+7f7O/rP+l/50/k/+Mv4d/gj97v3R/bj9of2G/Wv9V/1P/Uj9M/0S/P39Av0V/Rb8+PzK/KT8jvyA/HX8cPxz/HP8ZPxG/Cf8Fvwa/Cv8P/xH/EL8Nfwn/Bf8BPvr+9L7u/uo+5j7j/uN+477jfuI+4T7g/uC+4D7gPuA+337dPto+2L7Y/tl+2P7Yvtm+2r7avto+2n7cPt3+3n7e/uC+477mvuh+6j7sPu6+8b71Pvm+/j8BvwQ/Bj8JPwy/D/8SvxX/Gn8g/yg/Lr8zfzd/PD9B/0e/TH9QP1R/Wb9ff2S/aP9s/3B/c/93f3r/fv+DP4c/iv+Of5H/lT+Yf5t/nr+h/6T/p3+pf6r/rT+vf7E/sf+yv7Q/tf+3v7l/uz+8v71/vf++/8B/wX/B/8G/wf/CP8G/wL+/f76/vn++P73/vT+8f7t/uf+3/7X/tL+0v7S/tD+zf7L/s3+zf7J/sT+w/7D/r/+tf6t/qv+qf6j/pz+m/6e/qD+n/6h/qf+q/6n/qH+nv6g/qP+o/6k/qb+p/6n/qn+r/61/rv+wv7J/s3+y/7L/tH+3v7r/vb/Af8O/xj/If8s/zv/Rv9L/0z/Tv9R/1P/Vv9f/2z/ef+E/5D/mv+h/6j/tv/N/+H/7f/0//4ACgAUACAAMQBEAE4ATgBQAF0AcQCFAJgAsADKAOAA8QEDARsBOQFaAX4BowHHAe8CHgJRAoMCsQLfAwQDFgMWAxYDJgNDA18DeAOYA8ED6AQGBCUETgR6BKIEyAT3BSkFWQWGBbcF5AYHBioGYQaoBuMHBgcrB2IHkwekB6sH0ggAB8gG8AXeBWUGGQfUCeULlgyWDQgNZQ4cDzcQTBDjEO0QvxCtELgQuRCkEJgQrhDYEPUQ7RC2EEoPpw7ODcoMrAuWCqoJ8AlaCOQIqwi/CPUI+gioCDoICAgsCGwIgghjCC8IAAfOB4gHLwbYBpUGZQY4BgMFxgWMBVYFEQSpBB0DhQL6AoACDQGYASMArQAy/7L/Ov7X/o3+VP4j/fb9y/2g/Xj9Vf05/SL9Ev0Q/R/9Nf1B/T39K/0U/QH8+/0M/TT9Y/2F/ZH9jf2G/YD9e/1//Zj9yv4H/jv+W/5q/m3+XP4w/e79rv2J/YT9mv3B/e7+Dv4P/fT90v23/ZT9VPz2/Ir8HPu5+3n7gfve/Gz88/1D/Uj9B/yn/HL8oP0b/Yn9rv2v/d3+Rv6f/qH+XP4Y/fr96f3G/Z79nf3V/iT+Vf5N/hj93P24/a39pv2Z/Zj9uv32/h7+Df3O/Y39af1h/WX9bP12/YD9hv2G/YX9iP2N/ZL9mf2l/bT9x/3d/fT+DP4i/jj+Uf5s/oX+nv67/t7/BP8l/0L/Yv+I/6//0//1ABwASAByAJgAvgDoARMBOQFbAX8BpgHLAesCCQIrAlACcwKVAroC4AMCAyEDQgNsA5gDuwPaBAEENQRoBI4EpwS7BMsE0wTRBM4E0ATYBN4E5ATtBPYE+wT7BPwFAgUIBQ4FEwUaBR8FIQUlBS0FNwU+BUQFTAVXBWEFbQV+BZQFpwWxBbwFzwXnBfwGCwYcBi4GOwZCBkwGYQZ5BpEGnAaoBrgGyQbXBugG/gcWBykHOgdRB24HjwewB9EH9AgaCEQIcAiVCKYIpAikCLQIzAjZCNoI4Qj4CRMJHAkTCQkJCgkJCPgI2QjACLgIwAjOCN0I7gkFCR4JOwlgCZMJzwoECiAKGwn/CeMJ2gnqCg0KOAphCosKugrwCyMLRQtNCzwLIgsNCwYLDAsbCzALQgs+CxIKvwpeCgQJtgllCQsIrQhVCAMHsgdjBxwG5wbLBssG2gbkBtUGrwaCBlcGLAX+BdYFuQWjBY8FggWDBYoFggViBTcFFgUABOkEyASdBGwEOQQFA9IDmgNYAwsCuQJlAhQB0gGsAaUBqwGpAZoBhQFqAT4A/ACuAGEAHP/e/6n/ff9Q/xf+0f6G/j7+Av3c/dT93/3w/f/+D/4c/hb99P3C/ZL9b/1W/Un9TP1a/Wj9dv2I/Zj9mf2M/Yr9rf3m/hD+G/4c/jT+Y/6T/q/+tv64/tH/EP9t/8gADABJAJkA7QEDALMAKv/E/6j/l/81/nP9n/0K/MP8nPx0/FL8TPxc/Gj8Z/xp/Hz8k/yZ/Iz8f/yB/I78nvyx/NL9E/2W/nP/lACTAO0AZf8z/eH84/xh/Dv8PvxD/EL8Svxp/Jb8ufzK/Nr89v0T/Rf9B/z7/QH9CPz7/N38xPy3/Kz8oPya/J/8pvyf/Iv8dvxl/FT8QPws/Bn8BPvr+9D7uful+477c/tU+zL7DPrn+sP6nPpu+jj6A/nP+Zr5YPkj+Oj4sPh1+Df3+/fE95L3Z/dA9xn26vav9m32KvXu9b31k/Vp9TX09/S59IL0T/Qa8+Tzt/OT82/zRPMU8uXyt/KG8lPyJvIC8eHxvPGR8WXxPfEZ8PXwz/Ci8G/wPPAS7/Tv3u/M77vvq++b74nvfO9373fvde9t72HvVO9H7z3vPO9J717vbu9u71nvLe7q7pXuQ+4M7f3uA+4D7fXt5+3n7fLt8e3c7b7tqO2h7aDtlu1/7WHtTe1N7V/tc+1+7YLtjO2f7bHtvO3E7cztz+3F7a7tlO187WftWO1S7VbtYe1y7Y3ts+3e7gjuMO5W7nfuku6x7t3vFe9P74jvx/AP8FbwlPDS8RrxafGv8eXyDvIq8jHyJvIg8jXyYfKP8rjy5fMg817zj/Ow88rz6vQR9ED0cPSa9L303vUB9SH1OPVR9X31x/Yd9mv2pvbR9vn3K/dw98b4IPiA+P35q/pz+xn7ffu5+/78Wvyp/Mv8z/za/Pr9I/1J/W39lv3G/f/+TP63/zT/sAAaAG0AsADsASsBcwG/AgcCSAKBAq4CxQLEArsCvwLSAucC+gMRAzcDZwOZA8sEAwRABHwEtATvBS8FbAWbBcMF9wY5BngGoAa2BtUHDAdWB6IH5wgmCF4IjgiyCNQI+gklCVIJfwmwCeUKHgpTCoUKtgruCzELgQvPDAcMIgwvDEUMcgyrDOANDA03DWUNmQ3ZDisOjQ7wD1APtxAwEK0RBhEmER0RDxEOEQ0RARDyEO4Q9RD8EQURHxFUEZYR0hIFEj0ShxLbEywTeRPHFBQUVhSHFLAU2hT9FRIVHRUyFVcVgBWXFZgVkhWaFa8VxBXJFbwVphWWFZEVlRWhFbQVzRXjFfIV9hXnFbYVYRT/FLgUnBSRFHcUWBReFJoU5xURFQoU7xTfFOMU8xUHFRQVFRUeFVMVvhYxFlwWGBWQFSIVEBVYFcQWHhZNFlsWWhZQFjUWABW2FWwVMxUNFPQU9RUwFcIWoheVGE4Ymhh0GAQXgxcrFxsXSheIF58XeBcNFlMVQRQPE0MTXRRqFekXOBgIGHAYqRjQGOoY+Bj/GPsY6BjLGLAYmBiAGGYYUBg6GB4X+RfOF6MXexdbF0cXNRcLFq8WJRWMFRQU2hTXFOUU2BSeFEkT/BPGE6AThhODE5oTwBPlFAoUOhRqFIEUcRRQFEAUTxRvFIsUnRSnFKsUqBSeFJMUixRpE+QSmxBrDbwLYgoYCfkKhQsbC20LiAuRC48LdgtECwcKzQqWCl0KGgnOCYAJNgj2CLkIeQgzB+0HqQdmBx8G1gaRBlcGLgYTBfkF2AWtBYMFYwVTBU0FSAU6BRwE9ATMBLQEqgSjBJMEfgRqBFgEQwQvBCwEPQRQBEMECgO3A2oDMwMHAtgCqgKLAoECgQJ2AlcCKwIFAesB2AHCAaMBgAFaATQBDQDmAMAAnQB+AGkAYABbAEwAKwAA/+L/2v/W/7//jP9R/yj/F/8L/vT+1P62/p/+h/5l/jv+Fv39/ez92P2//aj9lP1//Wb9UP1F/UL9NP0V/PT85fzq/O784PzE/Kz8m/yH/G38V/xR/Fb8WfxP/Df8G/wF+/78BvwU/Br8FfwK/AP7//v8+/b76/va+8P7rvuh+5z7l/uQ+4j7hfuF+4b7hfuB+3v7cftn+2P7Zftp+2n7Zvtn+2v7bPtq+2n7bvtz+3T7c/t3+4D7jfuV+5r7n/uo+7X7xPvU++b79vwC/A38Gvwp/Dj8RvxT/GP8evyY/Lb8zfze/PD9Bf0d/TL9Q/1T/Wf9fv2T/aP9sP29/cr91/3l/fT+Bf4V/iP+Mf5A/lD+Xv5p/nX+gf6N/pT+mf6h/qv+tf67/r/+xP7L/tT+2/7h/uX+5/7o/ur+7/70/vf+9/74/vr++/75/vf+9f70/vH+7f7r/ur+6/7q/ub+4P7X/tH+z/7P/s/+zP7M/tD+0f7N/sj+x/7I/sX+vP61/rX+tf6w/qn+pv6n/qn+q/6w/rf+uP6z/q3+rP6u/q/+r/6y/rj+vP69/r/+w/7H/sv+0f7Z/t3+3f7g/ur++f8F/w//Gf8l/zH/Ov9E/1D/Wf9d/1//Y/9p/23/cf93/4L/j/+c/6n/sv+3/7z/yP/d//IAAAAKABQAHgAnADUASABZAF4AXQBjAHQAigCcAKwAwADYAO0A/gESAS4BUAFzAZkBvQHhAggCOgJ1Aq4C2QL0AwADBQMMAx4DOANNA1gDaAOLA7oD4QP7BBkEQgRsBJAEtgToBRwFRgVsBZ0F1gYDBioGYAapBuYHAwccB08HiQelB68H0wgBB9QHBQXxBW0GEwfFCc0LcgxaDK8M9Q2mDs0P+BCpEMsQthC2EMMQtRCPEH8QmBC7EMQQqBBtEA8Pfg6zDbYMmAt7CoIJwAkrCMEIlAiwCOgI6giTCCYH/ggwCHcIighiCCoH/gfOB4IHHQa6BnMGTAY0BhUF5QWqBWoFHASuBCQDkgMQApsCJQGoASoArwA0/7j/R/7u/qr+cv4+/g/95P28/Zj9ev1l/VD9Of0o/Sj9OP1J/VD9SP04/SX9Gf0g/T79a/2X/bn90/3k/ez96P3g/eX+Af4q/lP+cv6H/o/+hP5i/jb+Ef32/d39wP2x/bz90/3Y/cP9qv2f/Y79U/zn/Gz8BPu4+4r7hvu9/CL8ivzJ/Mb8hfwq+/L8Dfxv/Nb9Df0q/WT9yP4h/jf+FP3s/dn9yP2k/YH9gv2x/fD+GP4V/e/9w/2n/aH9oP2Y/ZL9o/3G/d/90f2m/Xz9av1q/W/9c/18/Yf9jf2N/Y39kv2Z/aD9qP21/cj93f31/g3+Jf46/k7+ZP59/pj+s/7Q/vP/F/84/1b/d/+d/8L/5AADACcAUAB6AKEAxwDuARUBOQFaAX0BogHGAecCCQIvAlYCewKfAsUC6QMJAyUDRwNyA5wDvAPaBAMEOQRsBJAEqAS9BM4E1gTUBNQE2QTgBOAE3wTlBPAE+AT5BPsFAgULBRIFFwUdBSEFIwUkBSoFNQU/BUcFTwVbBWkFdwWJBZ4FrwW6BcUF2QXyBgkGGgYqBjoGRgZLBlMGZgZ/BpsGqga5Bs0G4Qb0BwcHHAcxB0QHWQd1B5cHvAfhCAcIKwhMCGsIjAinCLMIsAi0CM0I8wkNCRUJGwksCTgJKAj+CNYIyQjPCNMIygi8CLUItQi4CMEI1wj3CRgJNQlUCYEJwAoACiwKNwonChAKBwoUCjYKZgqbCtELBQsyC1YLawtwC2cLWAtPC1ALVwteC2YLawthCzcK7QqUCkAJ8QmZCTYI0gh3CCIHywd1BysG+QbkBucG9gb7BuoGxwagBnwGVQYnBfsF2AW/BawFoQWlBa0FpAWDBVgFMgUTBO8EwwSTBGUENwQKA+ADtAN/A0MDCQLXAqcCegJbAlECUAJAAhEBzwGKAUcBBQDEAIkAVwAsAAP/1P+b/1b/C/7C/of+YP5S/lX+Xf5f/mL+bP5y/mD+Nf4G/ez95P3d/cv9t/2t/bD9vf3P/dz93P3V/dr9+P4l/lD+cv6U/rz+4f79/wr/CP8E/xf/XP/EAB0ARwBiAKEA9QEMAK4AE/+v/6X/o/8//nr9tP09/Q385/y0/Iv8hvyY/KX8pvyv/MX82PzX/Mb8ufzA/Nb88f0M/Sn9XP3L/pz/vADEAS8Auf+a/lT9WPzF/ID8Zfxj/Hr8pfzU/Pb9Bv0T/Sz9TP1e/VX9Qf05/T/9P/0s/RD8+vzu/OL81fzO/ND80PzE/LH8ofyX/I38gPxu/Fj8P/wn/BP8A/vw+9f7ufuZ+3b7UPst+w366/rA+oz6Vvoh+ev5sfl2+T75CPjR+JX4Wvgi9/P3zPen93v3RfcG9sX2h/ZO9hv17vXA9Yv1T/UU9N70qfRy9Dz0D/Pq88XzmPNm8zTzA/LR8qPyfvJh8kHyGvHt8cDxlfFu8UrxJfD88MzwnPBy8FDwNvAf8A3v/O/s79/v1u/U79Pvzu/C77Hvne+J73vveu+G75Xvoe+i75bvc+8x7tjuhO5R7kPuQ+447iLuE+4W7h/uGO377dbtve217bPtre2a7YLtce1x7YHtlO2f7aXtsO3D7dXt4e3o7evt5u3V7bzto+2K7XHtXu1X7V3tbO1+7Zftuu3g7gbuLe5Y7oTuqu7L7vHvHu9Q74rvz/Ac8GbwqfDx8Ufxo/Hv8iHyRPJX8lHyM/IZ8iLyTPJ+8qfy1PMS81fzjfOq87zz1PP49CH0RPRe9HX0lvTF9PP1E/Up9Un1gvXO9hv2W/aP9r729/dG96z4H/iZ+ST5yvp7+xH7e/vT/DT8kvzD/L38qPyz/OT9G/0+/VL9Z/2J/b3+Cv51/vH/av/QACEAYQCbANUBFAFYAZ8B6AIyAnIClAKTAoECegKFApgCqQK8AtoDAgMvA10DkQPKBAUEQwSIBNEFEgVCBW0FpQXqBiYGSwZiBocGxwcVB1oHkAe+B+cIDAgwCF0ImwjlCSoJYgmRCcUKAwpECnsKowrGCvULNgt/C7kL3Av1DBgMSgx+DKkMzQz1DSINVw2WDekOTA6wDw4PcA/iEFcQrxDVENYQ0xDYENkQzhDCEMMQyxDNEMwQ3hEPEVERiRGyEd4SGhJiEqsS9BNHE6IT9RQzFGMUjxS7FNwU7xT/FRkVPBVaFWgVaxVtFXcVhRWMFYcVdhVlFVwVXxVtFYIVmRWuFb8VyBW/FZQVRhTtFKoUhBRhFC8UAxQJFEoUnBTOFNcUzxTKFMUUwRTIFOMVARURFSQVWhW2FgAV+RWcFSkU8RURFWcVuBXkFfUWBBYbFiYWCxXHFXAVJxT2FNUUvhTEFQkVoRZ3F1cYChhrGGMX/RdqFvYW2BcFF0UXaBdWFvUWJBTzE9MTYxPwFTUWkxeUGCIYZBiGGJ4YshjEGMwYvxiiGH0YWxg/GCgYFhgEF+4X0he0F5YXdhdVFzIXBRa6FkcVuBUzFN4UwxTOFNMUshRqFBoT4RO/E6MTihOCE5kTwxPwFBoURhRtFHsUaxRQFEoUXxSAFJwUqxSxFLEUqhScFIUUWBPvEwYRXg8HDIgKrAnzCjYK2QtVC4cLmAujC58LewtBCwMKywqUCloKHAnaCZQJTwkOCM4Ihwg6B/IHtgeABz4G7QaaBlgGLQYQBfAFxwWaBXIFVQVEBTsFNgUsBRQE7gTIBK4EogSaBI8EggR1BGQESwQ2BDkEWgR6BHIEMQPRA3YDNwMKAuICtgKLAmUCRwIvAhoCBgHyAd4BzAG7AaQBhAFaASoA+wDQAKoAhQBjAEwAQwBDADkAGf/q/8L/sf+t/53/eP9H/x7/BP7v/tb+tf6V/nv+ZP5J/ib+A/3q/dr9y/22/Z79iv14/WX9Tv08/TT9Kf0P/Oz80vzK/Mr8xPy4/K38o/yN/Gr8Sfw8/Ef8Wvxh/FP8MvwN+/X78fv6/AD7+fvs++f78PwB/BD8FvwP+/r74fvN+8H7tvul+5L7h/uG+4n7ifuF+4D7ePtx+237b/t0+3b7dft1+3f7evt6+3j7eft7+3r7dvt2+3z7hvuN+5D7k/ua+6b7s/vB+9H75Pv0/AL8D/we/C/8P/xO/F38cfyM/Kn8xPzY/Or8//0V/Sv9Pf1N/WH9dv2K/Zr9qP21/cL90P3f/e/+AP4Q/h3+K/48/k7+Xf5o/nL+ff6H/o7+k/6b/qb+rv60/rn+wf7K/tP+2f7d/t/+3/7d/t/+5P7p/uv+7P7u/vH+8P7u/uz+7P7s/uj+5P7h/uD+3/7e/t7+3P7Y/tP+0P7Q/s/+zP7M/s7+0P7N/sr+y/7M/sn+wf68/rz+vf67/rX+sv6z/rT+tv65/r3+vf65/rb+uP66/rv+vP7B/sn+zf7O/s/+0v7U/tj+4P7q/vD+8/74/wT/FP8h/yn/Mv8+/0n/Uf9a/2T/bf9x/3P/d/9+/4P/hf+K/5L/n/+t/7z/x//N/9L/3v/vAAEADwAaACUAMQA+AE0AXgBrAG4AcQB+AJQAqgC6AMsA4AD0AQQBFQEvAVABbwGMAa4B1gICAi4CYQKeAtgC+wL7AucC2ALoAxYDRgNbA1sDYQOCA68D0QPoBAkEOARhBH4EoQTYBRMFOgVUBX8FvQX3BiYGXwanBt8G9wcIBzkHeAeeB68H1QgEB9cHBwXuBWQGAwerCasLSQwyDIoMzQ10Do8PthBzELAQuxDPEN8QyhCeEIoQmBChEIwQZBA4D/EPbQ6jDaIMgwtjCmIJmQkJCKoIhAicCMkIxAh2CBoIAwg9CIAIiwhfCCwIBQfTB30HCQaaBk4GLAYkBhsF/AXFBXoFHQSqBCcDogMoArUCOAGwASkArAAz/8D/Wv8L/sz+kf5Y/ib9/v3a/bf9m/2I/Xf9Xf1C/Tb9Pf1P/Vv9Wv1Q/UD9Mv0x/UL9ZP2T/cn+BP43/lL+UP48/i3+NP5P/m/+if6b/qb+ov6O/m7+Tf4t/gj94f3I/cf9zv3F/av9nf2m/aT9Zfzo/GD7//vL+637nfun+9D7//wX/BH79vvX+8j73fwT/E78cvyI/K/88/04/WD9av1x/Xv9ff1t/V39ZP2C/aX9vP3A/bb9p/2e/Z/9o/2e/ZH9jP2U/Zv9kv19/W79bv10/Xb9d/1+/Yn9kP2Q/ZH9mP2i/av9tv3G/dv98v4I/iD+OP5O/mL+df6N/qf+xP7i/wP/Jv9I/2j/i/+x/9f/+AAWADYAXACEAKsA0AD1ARkBOgFbAX4BogHGAeoCEQI5AmEChQKqAtAC9AMRAy4DUQN8A6MDwwPjBBIETAR9BJsErQS/BM8E1QTRBNAE2ATeBNwE2ATcBOgE8wT2BPcE/QUFBQoFDQUTBRoFHwUhBSYFMQU9BUcFUgVhBXMFhQWWBagFuQXHBdUF6AYBBhgGKQY4BkcGUwZbBmQGdAaJBqsGvAbMBt8G9AcKBx8HNAdJB2AHewebB8AH5QgLCDAITQhhCHEIhwijCLsIyQjbCPwJJQlACUUJRglQCVYJPQkCCMcIrQi1CMQIyQjCCLsIuAi4CL8I1Qj3CRkJNAlPCXsJvAoACjEKRQpECj4KQQpSCnEKnwrcCx8LVgt2C4MLhwuMC5ELlAuVC5ULjwuAC2wLWAtDCx8K5gqjCl4KFAm7CVQI7AiOCDQH2geEB0AHFgcGBwoHFgcbBwwG6wbFBqEGewZPBiMGAAXmBdIFxgXFBccFuQWWBWsFQwUdBPEEvQSNBGQEQQQeA/0D3AO5A5QDeANmA1UDOwMaAv4C4AKtAlsB9QGVAUgBDwDnAMkArgCNAGIALP/t/6n/Y/8j/vH+1P7J/sj+w/65/rL+sf6q/o/+aP5S/l7+e/6G/m7+Q/4h/hP+F/4h/in+Kv4n/in+Of5a/ov+xv7//yr/Qv9Q/1n/VP9F/07/lQAMAHEAlgCgAM0BEwEaAKwADP+x/7T/sP9C/nv9xv1p/Uj9Jfzx/M38z/zj/O387vz3/Qj9Ef0L/QD9AP0P/Sb9Qf1e/Xj9mf3i/nj/VgArAIkANv9Y/lr9lP0g/Or82fzi/P/9IP02/Tv9Qf1Y/Xz9mP2a/Yj9eP12/Xn9cf1c/UX9Nf0o/Rj9CPz+/Pn88vzm/Nr80/zQ/Mr8v/ys/JT8fPxp/Fr8S/w0/Bf7+PvY+7b7kvty+1f7OfsQ+t76qPpz+j36BPnJ+ZD5W/kl+O34tPh/+FL4LfgI99j3nPda9xz24/as9nf2RPYT9d/1p/Vu9Tj1APTH9JL0ZvRB9Bnz6fO084DzTfMd8vby2fLA8p/ydfJG8hnx7fHD8ZzxefFT8Snw+vDO8KnwjPB08GDwTvBA8DfwM/Ay8CzwH/AN7/nv4e/K77rvuu/G79Pv3O/h797vxO+D7yTuyu6T7oLue+5n7kvuOu487kPuN+4X7fDt1e3K7cntw+207aDtke2R7aDtsu2+7cXt0e3i7fPt/+4F7gPt9+3h7cftsO2Z7YHtbe1n7XDtgO2R7ajtyO3s7g/uM+5e7o/uvO7i7wXvLe9c75bv3PAp8HHwt/EL8XXx5PI68mzyg/KH8nHyQ/Ia8hbyOfJo8pPyxPMJ81jzlvO288Pz0/Pu9A30IfQr9DT0T/R99LL03fT79R31T/WN9dD2EPZP9pD22vc597X4Rvjd+XP6CPqV+w37c/vc/Ez8pfzB/Kb8i/yg/N79G/05/T/9Rv1c/Yb9yv4r/p7/Ev93/8sAEQBNAIMAuQD1ATwBjgHoAjUCXwJgAkoCOgI8AkkCWAJqAoQCqALQAvoDJwNVA4gDxQQSBGkEtgTwBSEFXAWfBdsGAgYgBkkGhAbBBvAHDQckBzsHVQd3B60H/QhbCLAI7QkcCVEJmQnqCjEKYgqFCqwK4wskC10LiQuxC+MMHgxWDIAMoAzDDO0NHw1cDawODA5wDs4PKg+RD/oQURCBEJMQmxChEKAQlRCLEIsQjhCMEIsQoBDREQ8RQRFlEYwRwBIAEkAShRLZEzsTmRPiFBcURhR2FKEUvhTNFNsU8RUOFSwVQRVMFU8VUhVUFVQVTBU8FS0VKhU2FU0VZhV7FYoVjxWCFVsVHhTcFKUUdBQ7E/gTyhPRFAYUQhRoFIEUoBS+FMUUsxSpFL4U2BTTFLUUuhUJFX4VvhWZFTQU5xTmFSAVXRV7FYQVlRW2FdUV1xWvFWsVIxTsFMcUrRScFKUU3xVXFggW3ResGDkYThfuF1sW7BbIFt4XChcyFy8WxhXXFKUTxROyFHMVoBa+F4wYAxg8GFQYYhhzGH4YdxhbGDYYFRf+F+0X3RfKF7cXqRefF40XZhcoFtwWiBYoFboVTRT5FMwUwBS5FJsUYBQYE98TwROxE5wThxOEE6ATzRP5FCEUSRRrFHYUZhRSFFEUahSOFKsUuRS1FKcUmhSMFGoUCRM2EcsPyA12C2YKLwoECokLJwuAC5wLqgu2C6gLdws4CwAKzwqZClwKIAnlCaQJXQkXCNIIiwhBB/4HxweSB04G+QaiBl4GLgYJBeEFtAWIBWQFSAUzBSMFGQURBQIE5gTDBKQEkgSJBIQEfgR3BGkEUAQ2BDEERgRdBFUEHgPKA3kDPgMZAvwC2QKmAmcCKQH+AesB5QHbAcsBugGuAaABhwFfAS0A+wDOAKUAfQBWADUAJAAfABoABf/h/7r/n/+M/3f/V/8w/wv+7f7V/r7+ov6A/l7+Qv4r/hL99P3Z/cn9wf2z/Z39hf1z/WL9TP02/Sn9IP0O/O/80fy//Lj8s/yq/KP8mfyD/GD8Qvw9/FL8bPx1/GP8P/wa/Ab8CfwV/Bf8Bfvs+9374vv0/Aj8FPwX/A77/vvw++b72vvE+6n7lvuQ+5D7jfuI+4T7gvuA+3z7fPuA+4b7iPuI+4r7jfuO+437i/uK+4n7hvuE+4f7jfuS+5L7k/uY+6H7q/u2+8T71/vp+/n8BvwU/CT8NfxE/FP8Zfx7/Jb8sPzI/Nz88P0G/Rr9Lf0//VP9Zv15/Yr9mf2q/br9yv3Z/er9+/4L/hf+Jf43/kr+Wv5l/m3+d/6B/on+kP6Y/qL+qv6u/rT+vv7I/s/+0/7W/tb+1P7S/tT+2f7d/t/+4P7j/uf+5v7i/uD+4f7h/t/+3f7e/tz+1/7R/tD+0f7R/s/+zf7O/s3+y/7J/sr+y/7K/sn+zP7O/sv+xP7A/sD+wv7A/r3+vP69/r3+vP69/r/+v/6+/r/+w/7G/sf+y/7R/tf+2f7Z/tz+4P7j/uf+8P7+/wf/C/8P/xn/KP80/z3/R/9S/1z/Y/9r/3b/gP+H/4r/j/+T/5f/mf+e/6f/sv+//87/2v/i/+n/9AADABMAHwApADUARABVAGcAdgB+AIIAiQCaAK8AwADSAOoBBQEYASIBMQFPAXIBiwGeAb8B8gIpAlYCgAK0AusDCgL6As0CrwLFAwcDSQNjA1wDXQN8A6UDvwPSA/cELQRXBG4EjATIBQoFMQVFBWkFpgXnBhwGVgabBs4G4AbvBx4HYQeNB6YH0ggDB9MG/wXjBVUF8AeVCZgLRQxFDK8M8Q2CDoEPmRBcELMQ1xD5EQoQ8xDJELQQrRCTEGMQPRAmD+4PXw58DW8MWAtGClAJjwkLCLkIkQiRCKAIjQhICAMH/gg6CHYIfAhVCC0ICwfTB3IG9waFBjYGEgYPBhUGCQXXBYIFFASbBCEDrAM9AscCPwGuASMApgAx/8T/af8j/uj+q/5t/jz+Gv38/dr9uv2i/Y/9d/1d/U/9U/1h/Wn9Zv1c/VD9SP1I/VL9Zv2L/cX+Ef5e/pD+mv6H/nL+cf6E/pv+q/6w/rL+sf6l/oj+Xv4z/hH9//38/f398P3M/aX9nf20/bj9dfzv/Gb8EPvt+9f7vvuu+7D7tfux+6z7uPvU++/8APwN/B38K/w4/Ez8bvya/MT86f0M/Sr9Ov0//UX9Vf1o/XX9fv2K/Zb9nf2f/aP9p/2j/ZT9hP18/Xr9dv1w/W/9df15/Xj9eP1+/Yn9j/2O/ZD9mf2m/bL9wP3S/ej9/f4P/iP+Pf5X/m7+g/6b/rb+1P70/xb/OP9a/3v/nv/E/+kACwAqAEoAbQCSALcA2wD9AR4BPwFhAYMBpwHMAfMCHQJGAmwCjgKyAtkC/QMcAzsDYAOKA7AD0AP1BCgEYASLBKEErAS8BMwE0QTMBMgEzgTWBNYE0gTWBOME7gTxBPEE9QT6BPsE/QUEBQ8FGQUfBScFMgU+BUgFVAVmBXsFjQWcBawFvwXRBeEF8gYGBhwGLgY/BlEGYgZwBnwGiQaaBrsGywbbBu0HAgcaBzIHSgdjB38HnwfDB+UIBwgoCEcIXQhmCG0IgQiqCNoJAwkiCUEJXgltCWwJaglzCXoJYwkoCOcIwQi+CMkIywjECL8IvwjECM0I4Aj9CRsJNAlRCYAJxAoLCkAKWQpkCnEKhgqfCrkK3QsVC1YLigufC5oLlQueC7ILxQvOC8oLtAuLC1ULIwr8CtwKugqRCl8KHgnICWII+wibCEEH6QedB2cHSgdAB0IHSwdOBz8HHAbxBscGoAZ2Bk4GLgYWBgIF8gXrBeQF0AWpBXwFUwUqBPoExASVBHEEUwQ2BBgD/wPsA94D2APXA9QDwgOhA3QDOALjAnUB/wGZAVEBKAEXAQ8BBADoALwAhQBKAAv/zP+R/2T/SP84/yr/Gf8H/vn+7P7X/rX+mf6f/sv/AP8V/v3+zf6j/ov+gv6A/oP+hv6E/nz+ef6N/sX/Ff9e/4f/lv+h/63/qf+U/5f/4wBnANcA/gD/ARoBSAE0ALgAHP/L/8z/t/84/nX91v2O/Xb9VP0o/RP9HP0t/TD9L/01/UD9Qf09/UD9Uf1n/Xr9jf2m/cL92/4B/lH+z/9Q/43/W/7P/iv9rP1n/U/9Uf1h/XX9gP17/XT9f/2i/cr92/3O/bX9pv2k/aD9kv2B/XX9bv1m/Vr9T/1F/Tr9K/0f/Rn9F/0S/Qn8+vzn/NH8vPys/J78i/xv/FD8M/wX+/b71Pu1+5z7f/tY+yj69vrD+o76Vfob+eP5rPl2+UH5DPjZ+Kz4hfhf+C337/es92/3OvcI9tP2nvZq9jb1//XH9Y/1VfUb9Oj0vvSY9Gz0OfQB88vzmvNv80/zNvMb8vbyyPKa8m7yQ/IY8fDxzfGp8YDxUvEl8P7w4PDK8Ljwp/Ca8JHwjvCJ8HzwZ/BR8DvwI/AL7/3v//AO8BvwI/At8DLwHe/Y72/vCu7N7rfurO6T7nHuW+5X7lnuTO4t7gnt7+3k7eHt3e3Q7b3tr+2v7bztzO3X7d/t6u377gzuF+4a7hPuA+3s7dPtvu2o7ZHtf+187YjtmO2o7b3t3O4C7ibuSe5v7pvux+7u7xXvP+9v76Xv4/Ak8GTwq/EJ8YPyBPJs8qjyv/K68pbyWfIg8gzyIvJO8oDyvfML82LzpfPI89Tz3PPq8/r0BPQF9Af0FvQ59Gf0lfTA9O/1JPVb9ZL10PYb9nL20vdF99b4gvkz+dH6Ufq4+w/7afvS/EL8mPy1/Kb8mvy4/Pb9Kv0+/Tz9Ov1E/WD9kf3d/kD+q/8S/3H/wgAAADAAXACRANgBNQGaAfECIwIqAhcCAwH8AgACCQIZAjMCVAJ4Ap4CwwLmAwoDQAORA/YEVQSdBNUFDAVIBYEFrQXTBfwGKQZNBmIGaQZvBnoGjgayBu4HQgehB/UIMwhmCKUI+QlaCbUJ+wouClsKjwrICv8LMAtkC6IL5gwjDE4MbAyMDLMM5A0fDWgNwQ4jDoMO4A89D5wP7xAqEEkQVRBYEFUQUBBKEEUQPxA5ED8QXRCREMkQ9REXET4RcRGrEekSLBJ/Et8TPhOME8gT+hQsFFoUfRSQFJgUoxS8FOQVDRUnFSsVJBUeFR4VGRUKFPcU7hT2FQ4VKxVEFVEVThU4FRMU6BTAFJgUYxQcE9gTuBPKE/MUEBQbFDIUZhSeFLAUmBSCFIgUkRRxFDQUJRR/FRsVihWAFRwUwBSwFN0VERUoFS4VORVSFWwVexV1FVYVIxTsFMEUphSUFIYUhRSnFQQVqBaIF24YDRg0F+8XehcRFtAWvhbZFwUW/RZ9FYYUdhPKE80UdBV3FoEXUxfSGAoYHBglGCgYHxgIF+0X2hfPF8MXqheIF2gXVhdNFzYW+xaeFjgV2xWOFUkVDhTmFNEUvhScFGIUHhPkE8ITsROgE4oTfBOJE60T2RQAFCYUUBR0FH4UbhRZFFYUbBSRFLIUwRS1FJsUhhR4FEETlxJDEFAODgv1CoQKAApMCu8LcQumC7MLvwvGC6wLcAsvCvwKzgqTClEKEwnbCZsJUAkFCMAIgQhDCAcHzweVB00G/AasBmkGNAYFBdYFqAV9BVkFPAUiBQsE+gTxBOsE2wTABKAEhwR5BHMEbwRqBGAETQQ1BCIEGwQYBAgD4AOmA2wDPwMiAw8C9QLCAnQCIwHqAdMBzgHEAbEBoAGXAZEBgAFfATMBAgDTAKoAhQBhAD4AHwAJ//r/7f/d/8X/pf9//1f/Nf8a/v/+4/7J/rT+nP57/lH+Lf4U/f794P3C/bD9rv2r/Zz9hv1y/WL9Tv07/S79J/0X/Pn81vy9/LL8qvyi/Jn8jfx2/Ff8QfxG/GH8d/x0/Fb8LvwT/BL8KPxC/ET8KvwD++f74Pvk++j76/vv+/L78vvx++/76PvX+8D7rvum+6L7mPuL+4L7g/uH+4f7h/uK+4/7k/uU+5X7mPua+5n7mPuY+5r7mvuZ+5r7nfug+6D7oPuj+6n7svu7+8f71vvm+/b8BPwS/CD8Lfw7/Er8W/xu/IX8nPyz/Mr83/z0/Qn9Hv0x/UT9V/1o/Xj9iv2d/bD9wf3Q/eH98/4C/g/+HP4t/j/+T/5a/mP+bv54/oD+iP6S/pz+ov6n/q3+t/7A/sX+x/7J/sr+yP7G/sb+yv7N/s7+0P7V/tn+2f7W/tX+1f7U/tP+1v7a/tv+0/7K/sX+xv7H/sX+xP7F/sf+x/7G/sb+x/7I/sr+zP7O/sv+xv7E/sX+xf7C/sD+wf7D/sP+wv7B/sL+w/7F/sj+zf7S/tb+3P7i/uX+5P7k/un+8P71/vj/Af8P/xr/Hv8h/yn/Nf9B/0v/Vf9g/2n/cf96/4b/kv+b/6H/p/+r/63/sP+2/7//yv/W/+P/7//3//4ACAAXACcAMgA7AEcAVwBqAHwAigCRAJcAogCyAMIAzQDfAP0BHQEuATQBQgFjAYYBmwGuAdYCFgJRAnEChQKoAtwC/wLyAsICogK8AwUDSQNgA1QDVQN2A50DsgPAA+QEHARHBF0EeQS1BPsFJwU/BWQFowXkBhkGUAaOBrwGygbZBwoHTweBB54HzQf5B8IG5wXHBTcF1AeGCaULegyaDQwNOg2kDn8PhRBOELkQ8xEgETERGRDxENcQvxCPEFgQQxBCEAUPTA42DQ8MBAsRCjgJjwkkCOUIuwigCIkIYQggB+sH7wgjCFMIVAg1CBYH+Qe/B18G7AaGBjsGEQYIBhMGEQXlBYUFBASBBA0DqgNHAtECQgGrAR8AowAv/8T/b/8z/v/+w/6D/lP+OP4j/gT94P3A/af9jv15/XD9df1+/X79c/1l/Vv9W/1j/W79ev2Q/b3+Bv5b/p/+vv68/rH+sP6+/s3+zf6+/qz+pP6d/of+Xf4v/hX+Fv4h/hv99f29/Zb9nP2+/cT9fvz6/Hj8KfwI+/H71vvG+8r70PvJ+8T72/wI/Cv8Mfwn/Cf8N/xL/Fz8bfyF/KP8xvzo/QP9Fv0m/Tv9U/1l/Wz9cv2C/Zf9o/2j/aH9of2e/ZT9hv1+/Xz9e/14/Xj9e/18/Xn9eP1//Yr9j/2P/ZP9nv2u/b39zf3g/fX+Bv4V/iX+Pf5a/nb+kf6t/sv+6v8L/y7/UP9y/5L/tP/X//sAHgA/AGAAggCkAMYA6AEIAScBSAFpAYwBsQHWAf8CKgJTAnYCmAK8AuMDCgMtA1ADdgOeA8ID4wQHBDUEYwSDBJEEmwStBMIEywTGBMAExATOBNIE0gTWBOAE6gTtBOwE7gTxBPIE9AT9BQ0FGwUlBS4FOQVEBU4FWgVsBYIFkgWdBawFwgXaBeoF9gYEBhcGLQZEBlsGcgaGBpQGngarBsYG1wbqBv4HFgcxB0sHZQeAB6AHwwflCAQIIAg8CFgIbAh0CH0ImAjNCREJSwlvCYMJjwmVCZUJlAmXCZUJfAlFCQYI2gjLCMsIxwi9CLkIvwjKCNYI5gj9CRgJMwlSCYMJygoYClUKdgqHCp0KvQrfCvkLEws7C3ALnQuuC6kLpgu3C9UL7wv5C/ELzwuSC0AK7wq2CpYKgwpuCksKEQm/CV4I/gijCE4H/ge/B5oHigeDB4EHhQeGB3YHUAceBu0GwgacBnoGYAZKBjQGIAYTBggF8gXLBZwFcQVKBRwE5wS2BI4EbARJBCkEEwQNBA8EFAQTBAsD+APaA6oDXwL0AnYB/gGiAWoBTwFIAUkBQwEuAQwA4gCxAHcANv/6/87/sv+d/4X/af9Q/zz/Jf8G/uL+0P7k/xj/S/9d/0z/LP8S/v/+7f7g/t7+5v7l/tH+uv7B/vz/Wf+u/9//9QAJABoAFgAAAAgAXADkAU8BbQFjAWsBegFOAM4AQf/4/+f/sP8g/mz97f27/aX9hP1i/Vr9Zv1s/Wb9Yf1p/XP9c/11/Yb9pf2+/cn90v3n/gX+H/40/lH+f/6z/s3+tf5u/hf90v2w/an9r/22/br9tv2u/a39wv3q/gz+Ef37/d79zP3C/bb9p/2f/Z/9oP2g/Z79nP2U/YT9cP1k/WD9XP1S/UP9M/0i/Q38+fzn/Nb8vvyi/If8cvxa/Dn8Fvv4+9/7w/ud+3H7QvsQ+tv6pPpu+jf6APnJ+ZX5ZPky+QP42Piv+H34P/f898D3jfde9y32+/bH9pD2V/Ye9eX1q/V09UL1GfTv9L/0hvRN9Bnz7fPI86rzkPNw80bzF/Lr8sLymPJu8kbyI/H/8dXxpvF68VTxN/Ej8RPxBPD08Ofw3PDQ8Lzwo/CM8HjwYvBM8EDwR/BX8GbwcfB+8Ifwb/Ah76zvP+8B7uzu3+7C7pnuee5u7mzuYe5H7ifuD+4E7gLt/u3z7eLt1O3U7d/t7O3z7fjuAu4U7iTuLO4o7h3uC+327eHtze237aDtke2R7Z7tr+2/7dPt8+4b7kHuZe6J7q/u1e787ybvVe+E77Hv3/AQ8EnwjvDr8WLx5fJZ8qvy1/Lc8rjyc/Is8gTyCvI18nXyxfMe83PzsPPP89nz2vPd8+Hz5fPm8+bz7vQD9CX0UPSC9Lv09vUr9V/1ofX79mj23fde9/v4tvlz+hD6fvrK+w37XPu9/CX8evyn/LX8wvzl/RT9OP1C/T79PP1C/VT9df2s/fj+U/62/xj/b/+x/94AAwAzAHsA3AFHAaQB3wHyAekB1wHJAcEBwgHPAeQCAAIfAkECZAKBAp4CygMYA4MD8QRJBIYEtgTlBRQFQAVpBY8FrwXDBckFyAXHBdEF6gYXBlkGqQb5Bz0HdQevB/gIVwjCCSwJhgnPCgsKQQp0CqUK2AsRC1ULnAvaDAUMJAxEDG8MowzcDR4Nbg3MDjAOjw7nDzsPiw/MD/YQBRAFEAMQBBAED/wP7A/hD+0QExBGEHUQmxDAEOwRIxFeEZ4R5BIzEooS4RMwE3UTsBPmFBQUORRPFFYUWxRuFJcUyhTwFPwU8xTnFOAU2hTMFLkUrRSyFMgU5RUAFQ0VBhTrFMYUqBSVFHsURxP9E78TshPTE/sUAxPyE/QUGxRNFFwURRQuFC8ULxQHE8oTyBQ3FOYVWhVEFM0UZhRYFJEU0BTwFPoVAhUMFRQVHhUrFS0VEhTgFK8UkhSGFHwUcBRvFI4U4hV7Fk4XLRfUGBYX8xeRFx4WxRajFrcW1xa7Fi8VPxQ5E4cTdhQQFRoWMhcIF4QXvBfQF9IXxReuF5YXhhd3F2AXNhb9FsUWnRaDFmAWIRXLFXsVRxUrFRcVABTmFMsUpxR1FDgUAhPeE8gTshOVE3oTdROOE7cT3RP+FCcUWRSCFIwUeBRfFFgUaBSJFKwUvhSyFJMUehRfE/8S+BEjDsUMcwrBCf4KFwquC00LqgvGC8wL1gvSC60LbAstCvsKxgqDCjsJ/QnGCYgJPQjxCK8Idgg/CAcHyweLB0QG/Qa5BnoGPwYIBdYFqAV9BVQFMwUYBP4E5wTYBNQE0ATABKQEhwRzBGYEWgRNBEQEPQQwBBsD/wPjA8YDpQOAA1gDNQMcAwwC9ALDAnUCIgHmAcsBvwGuAZQBfgFzAW8BZQFOASoA/QDOAKYAjAB6AGMAPgAP/+n/2P/a/9n/wP+J/0v/Hv8J/vr+4f6//qP+jP5u/kT+Gv39/ef9y/2r/Zj9mP2c/ZX9gv1u/V79Tf09/TP9LP0b/Pn80vy3/Kv8pfyg/Jv8kfx8/F38R/xH/Fn8Y/xU/C/8Cvv5/AX8KPxJ/E78MvwI++r73vvX+8r7vvu9+8b7z/vR+877yfvD+7r7tPuz+7D7pPuR+4P7gPuG+4v7jPuN+4/7kvuT+5T7lfuX+5n7mvuf+6X7qPup+6n7q/uu+7D7sfuz+7n7wvvM+9f74fvs+/r8CfwZ/Cb8Mfw9/Ev8W/xt/H/8kvyn/Lz80vzo/P/9FP0p/Tv9TP1c/Wz9fv2R/aX9uP3I/dj96P34/gX+Ev4h/jH+QP5M/lb+Yv5s/nX+ff6G/pD+lv6b/qL+rP60/rj+uv68/r3+vP65/rn+u/69/r7+wP7E/sj+yv7K/sv+y/7J/sf+yv7Q/tL+zf7E/sD+wP6//rv+uf67/r/+wf7C/sP+xf7I/sv+zf7M/sn+x/7I/sn+x/7D/sH+xP7I/sr+yf7K/sv+y/7M/s/+1f7c/uP+6/7x/vP+8P7w/vj/AP8F/wj/D/8b/yX/Kv8u/zj/RP9P/1n/Y/9u/3j/gv+O/5r/pP+r/7P/vP/C/8X/x//M/9T/3v/o//YABAANABMAGwApADkARQBPAFsAaQB7AIsAmAChAKkAuADKANcA4QDxAQ0BKQE3ATwBTQFwAZMBqgHFAfkCPgJvAncCcQKGArsC5gLkAsACqwLKAxADSQNWA0gDSwNtA5UDqAO0A9QECAQzBEwEbASoBOwFHQU+BW0FsAXwBiIGUwaJBrAGvAbMBwEHSwd/B50HxQfkB54GugWYBQwFtAeACcsLzA0DDWkNcA2uDmMPUxAYEJIQ5hEqEUgRMREFEOYQxxCUEGgQaxB5ECYPMQ3WDIwLiwq9CgoJggk2CRII8gjHCJYIXQgcB+sH5ggECBwIFAf4B+IHzAecB0sG7wabBlgGJwYSBhcGFwXrBYME8wRkA/MDnQNJAtoCSwGyASUAqAAy/8j/eP9F/xv+5P6k/nP+Wv5I/i7+Cf3l/cf9rf2a/ZL9lP2Z/ZT9h/11/Wr9a/15/Yr9l/2k/cT+AP5S/p/+0v7l/uT+4v7p/u/+4/7A/pX+e/51/m3+U/4x/hz+Gf4U/fb9v/2O/YL9pP3Q/dD9hP0D/Ib8N/wO+/D72fvb+/f8Fvwe/Br8I/w8/E/8TPxC/Ej8YPx8/I78mvyn/Lj8zfzh/PX9Bv0a/TT9T/1l/XH9ff2P/aH9p/2i/Zr9l/2V/Y79h/2E/YX9hP2B/X/9f/1+/Xv9fP2D/Y39k/2X/Z79rf2+/c793/30/gj+Gv4n/jb+S/5l/oP+o/7E/uT/A/8l/0j/a/+L/6r/zP/vABEAMwBVAHcAlwC4ANgA+AEZATgBVwF5AZsBvwHlAg4CNwJfAoMCpgLMAvUDHgNFA2oDjwO0A9cD9wQWBDcEVQRpBHUEgwSaBLMEwQTBBL0EwQTNBNcE2gTdBOUE7ATvBO4E7wTzBPYE+wUFBRMFIQUqBTIFPQVJBVQFYQV1BYoFmQWlBbQFzQXoBfkGAQYLBh0GNgZQBmoGggaXBqUGrQa3BtEG5wb/BxgHNAdSB20HhQegB8AH4ggDCB4IOAhSCG4IhgiYCKsIzAkECUoJhgmoCbEJtQm9CcUJwAmsCY0JZQk0CQAI1wjDCL4IugizCLEIuAjGCNQI4gj3CREJLQlMCXkJwQoaCmYKkwqlCrgK2gsBCyALNgtSC30LqAvCC80L2QvyDBEMJgwpDBcL7QuiCz8K2wqRCmoKWgpMCi0J9gmoCVII/giwCGUIHwfrB84HwQe3B68HrgeuB6AHewdGBxEG5gbFBqsGlwaDBmoGUAY9BjAGHAX4BckFngV5BVEFIgTuBL0EjwRjBEEEMgQ3BEUESwQ/BCYECwPxA8gDewMHAoECDAG9AZIBfwF5AXcBcwFoAVUBPgEaAOIAnABaACwAEf/5/9v/uf+a/37/Yf8//yD/Fv8r/1H/bv9y/2b/Xf9e/1r/SP8z/y//O/89/yH++f7x/yP/gv/jACsAXACDAJkAkQB9AJAA6gFpAcEBzwG3AaYBlAFTAN4AbgAvAAD/of8E/mz+Fv37/ef9xf2p/af9rf2m/ZX9kf2d/an9rf22/dH99v4N/hL+Ff4k/kD+XP5s/nP+d/58/n7+dP5Z/jT+F/4L/gn+BP34/ev94v3h/en9/v4d/jP+M/4d/gL97v3f/dP9y/3L/dD90/3W/dz94P3Y/cL9rP2i/Z/9mf2K/Xr9bf1d/Uf9Lv0Z/QX87fzT/MH8svyc/Hr8V/w7/CX8Cvvl+7v7j/te+yj68vq/+oz6VPod+er5u/mM+Vv5LvkB+M74j/hM+BD33vey94X3Vvci9un2q/Zw9jr2BfXS9aH1dPVF9Q/00vSZ9Gn0QfQh9AXz5/PC85XzZvM78xPy6/LC8pzyePJR8ibx+vHR8a/xkvF98W3xXvFJ8TLxG/EF8O3w1/DD8LLwn/CL8ILwivCa8KjwtvDI8NDwsfBX79vvcO847ynvG+737sTune6L7ojugO5r7k/uOO4s7iruJ+4d7g3uAO3/7gjuEu4V7hbuHu4t7jvuPu427ibuFe4E7fHt3O3G7bLtp+2q7bntyu3a7e/uDO4x7ljugO6n7s7u8e8T7zvvae+W77vv3PAG8D7wgvDR8S/xmfIH8mfyrPLI8rTyd/Iu8fvx9fIe8m3y0fMz84DzrfPC88rzy/PJ88fzxvPG88bzyfPZ8/X0HfRM9IL0u/Ty9S71gfXz9nb2+Pd8+Bb4zfmG+hr6fPq9+v37Svuh+/v8SvyH/LL81fz2/Rb9Kv0y/Tb9Pv1O/Wb9hf2u/eL+Iv5t/sH/FP9b/5D/u//qAC4AiADuAU0BkQGyAbcBqwGaAYsBhgGNAZ0BrwHGAeUCCgIrAkcCbAKxAxkDjgPyBDYEXwR/BJ4EwQTkBQYFIgU2BUAFRQVNBWEFiAXFBhAGWgaYBskG9wcwB34H3QhHCLIJGAlyCb0J+QopClUKhQq+CwILSQuEC68L0Av2DCoMZQydDNcNHA12DdoONw6GDtAPHA9nD58Ptg+2D7MPtg+6D7APnA+PD5sPvQ/nEAsQLxBbEJIQ0RESEVcRoRHuEjsShhLTEyATaROoE9wUAhQZFCAUIRQsFE0UfhSrFMEUvhSwFKQUmhSNFH0UcxR2FIcUnhSzFL4UtxSdFHwUZBRbFE4UJRPgE6MTlRO1E9sT3xPDE64TuRPUE90TzxPDE8cTxhOkE3kTjRQJFLMVFBToFGET+RP4FEQUlRTDFNUU3RTeFNcU1xTlFPEU4hS3FIkUchRrFGYUYRRiFHIUkxTVFVQWFRbsF5QX3BfDF2wXAxawFooWkhajFnoV4RTeE8YTEhMVE8YUzhXKFoQW9xczF0YXOhcZFvAWxBaUFmAWKBXtFbUViRVpFU0VLRULFPoVARUSFRUVABTZFKsUehRJFBsT+hPmE9MTthOSE3kTfBOYE7oT1xP2FCYUYRSKFI4UdRRdFFcUZRR/FJ0UrxSoFI4UbhQ0E40SHQ/dDUwLKgn/CdkKXAsLC48LzgvgC+YL6QvXC6cLaAstCvgKugpwCicJ7Qm6CYAJOQjvCKsIcAg2B/sHvQd7BzsG/gbEBogGSQYQBeEFtQWGBVcFMwUZBQEE5QTMBMMExAS/BKsEkQR4BGIESgQxBCIEHwQeBBAD9APOA6oDiANoA0YDJQMIAvEC1AKkAmACGQHmAcoBtwGdAXwBXwFMAUIBOAEqAREA6gC8AJcAigCPAIoAZgAl/+T/x//V/+3/5P+n/1L/Ev71/uf+zP6i/n3+Zv5O/iv+A/3k/c/9uf2g/Y79iv2K/YD9bf1Z/Uj9N/0o/R/9GP0J/On8xvyv/Kb8pPyi/KP8oPyQ/HL8UvxA/Dz8N/wj/Ab76/vg++r8BPwd/CD8Bvvk+9H7zvvK+7n7pfuf+6b7q/uh+5L7ifuL+5D7lfud+6P7ovuW+4n7g/uI+477kPuN+4z7jPuM+4z7jPuN+5H7l/uf+6f7q/ut+677sfu2+7r7vfvB+8n71Pvg++r78Pv3/AH8Efwk/DP8P/xJ/Fb8Zvx2/IT8k/yl/Lj8zfzj/Pr9EP0j/TX9Rv1X/Wf9d/2J/Zz9sP3B/dH94f3v/f3+Cv4Y/ib+M/4//kv+V/5h/mn+cf55/oL+iP6O/pb+oP6q/q/+sf6x/rH+sP6t/qz+rv6x/rP+tf62/rf+uf69/sH+wv6//rz+vf7B/sH+vv66/rr+uv64/rT+sv61/rj+uv66/rz+wP7F/sr+zP7K/sX+xP7H/sn+x/7D/sL+x/7O/tH+0/7T/tP+0P7P/tL+2/7k/u3+9f78/v7+/f7+/wT/DP8R/xX/HP8l/y3/NP88/0n/Vv9h/2v/dv+B/4v/l/+l/7L/uP+7/8H/zP/X/9v/3f/g/+T/6f/zAAMAFAAfACYALAA4AEcAVABgAG0AewCKAJgApQCvALoAygDfAPEA/gEMASEBNgFDAU8BZgGIAacBvwHhAhoCVwJzAmgCWwJzAqsC1gLWAr0CtgLaAxYDQgNJAz4DQwNkA4oDoAOwA88D+wQjBEIEawSpBOsFHAVEBXoFvwX9BisGWAaJBqoGtwbMBwcHUweIB6QHwgfPB3cGigVsBOkFogeKCfkMFA1JDZUNfA2fDjkPCQ+2EDAQpBETEU4RQBESEPMQ1xCqEIcQlRCjEDQPBg1rC/wLAQpYCc8JaQk5CS4JHAjxCLgIewg9CAgH7QfrB+cH0Qe2B6gHngd+B0IG+AayBnQGQAYhBhoGEQXiBXgE5QRTA+EDkgNIAuMCWwHDATUAtQA9/9L/h/9d/z3/D/7T/qD+gP5q/k3+KP4F/ef9zf25/a39qv2r/an9of2T/YT9fv2I/Z39sP3A/dv+EP5e/rD+7/8M/wz/AP76/vn+6v69/oD+Uf5A/j/+Of4o/hf+Bf3k/a79ef1m/YX9vv3k/c79c/zx/Hr8K/wA++b72fvp/BX8Q/xY/FX8T/xT/Fr8XPxe/Gz8gvyV/KD8qfy0/MH8zfzb/O39Af0V/Sr9Q/1c/XH9hP2W/aH9o/2c/ZX9k/2Q/Yv9hv2F/Yb9hP2B/YD9g/2F/YP9hP2J/ZH9mv2i/a79vf3O/d/98v4H/h3+Mf5D/lX+Z/59/pn+uv7d/v3/HP89/2H/gv+h/8D/4wAIACsASwBrAIsAqwDLAOwBDgExAVEBcQGSAbQB1wH6AiACRwJtApICtwLfAwoDNQNcA34DoAPCA+UEBAQdBDIERgRaBG4EggSZBLAEvwTDBMMEyATVBOAE5gTpBO0E8wT1BPQE9QT5BQEFCAUQBRkFIgUoBS4FOAVHBVYFaAV9BZQFpwW1BccF4gX+BhEGGgYkBjcGUAZpBn4GkwalBrEGuAbBBuYG/wcZBzYHVAdyB40HpgfCB+IIAwghCDwIVQhvCIsIqQjICOkJDglACXwJsQnNCdMJ1wnmCfAJ2wmiCWAJLwkQCPIIzwiyCKcIqgiuCLEItwjCCM8I3QjwCQoJJwlDCWwJswoUCnMKrgrGCtUK8gsZCzkLTQtmC44LvwvpDAgMJAxGDGMMbgxiDEMMEAvBC1kK7QqXCmMKSQo0ChMJ3gmZCU8JCwjMCI4IUwgkCAcH9QfkB9UHzgfLB74HmwdpBzYHDgbxBt8G0QbABqUGhQZqBlgGRAYiBfQFyAWlBYUFYAUzBQEEzwSlBIoEhQSSBKEEngSBBFcEMQQYA/YDrQM1AqoCNgHuAcoBtwGtAagBpwGlAaEBlgF8AUgA/wC3AIMAYwBKACsAB//j/8L/ov+E/3D/cP+B/5T/mf+L/33/gf+T/5z/jv94/3P/gP+D/2T/Mv8Y/zf/iv/zAFkAsQDxAQgA+QDnAQUBYAHQAhYCHAH5Ac0BkgE9AN4AlgBkABr/lv72/oD+U/5L/jf+Ef32/fH97v3b/cj9x/3X/eT97P38/h7+Qv5X/lr+W/5m/nr+kP6e/qH+mP6L/oL+ff52/mz+Zv5n/mX+Vv46/iL+GP4Z/iD+LP49/kr+Sf45/iT+Ev4I/gT+Bv4L/g3+Df4Q/hr+IP4V/fz96P3i/eD91v3D/bP9p/2W/Xz9YP1K/Tb9H/0I/Pn87fzX/LX8lPx9/Gr8UPws/AX73Pus+3X7QPsP+t36p/pv+j36Efnk+bX5hflV+R743vic+GP4M/gI9933r/d69z72/vbD9pH2YvYy9gD1z/WZ9V71IPTo9Lv0mPR79F70PfQT8+Xzt/ON82TzOvMR8uzyyfKh8nbyT/Is8gzx7fHU8cLxsfGY8XbxU/E18R3xC/D98O/w3fDL8MPwx/DS8N7w7vED8Qrw4vCA8AXvpe9673DvXe8v7vTuyO617rLuq+6Y7nzuZe5Z7lXuUe5G7jbuKe4o7i/uOO477jnuPO5F7k/uUO5I7jnuKe4X7gPt7e3Y7crtxe3L7dnt6u377hDuKu5J7m7umO7H7vLvE+8t70zvde+g78Xv6PAV8FHwlfDV8RPxWPGo8fzyQ/Jr8mryRvIT8evx4/IJ8l3yyfMv83bzmfOo87HzufO887rztfOt86TzovOx89Hz+fQh9Ev0e/S39Qb1c/X99pH3GveY+CT4yflz+fz6WPqc+uL7Mft/+8j8D/xV/JT8w/zi/PT9AP0L/R79PP1k/Y79tv3X/fL+D/42/m/+uP8H/07/iP+5//EAOQCRAOsBNAFhAXIBbwFhAVEBSwFSAV8BbQF9AZcBuwHeAfsCHAJXArcDLAOWA98EBgQZBCkEPgRZBHgEmQS5BNYE7wUKBS8FZQWrBfgGPQZ0Bp8GywcDB0wHoggACGEIwgkgCXMJtQnmCg4KOQpwCrMK+AsvC1YLeQunC+YMJwxgDJIMzw0iDYAN1g4aDlgOog71DzwPYg9nD2EPYQ9jD1wPSw8/D0YPXQ94D5QPuA/rECwQcxC7EQcRVhGkEe8SNxKBEtATIBNpE6cT1BPsE/IT7RPwFAUULhRbFHoUgxR9FHMUaBRZFEkUPxRDFFEUYRRrFG4UZhRRFDQUHRQYFBgUBBPPE4sTYhNlE34ThxNyE1cTUBNeE24TchNyE3MTaxNMEzATThPEFFwUsBSIFBETthO7FAgUXRSRFKkUsxS0FK0UqxS1FLoUpRR8FFwUVBRWFFAURhROFGkUgxSbFNEVSxYCFr0XQBdyF2IXKRbcFpIWahZuFnUWMxV4FGQTYxLiEwQTnhRkFR8VsxYUFj4WNxYMFcwVfRUpFOIUtRSgFJQUihSDFIcUmRS3FN4VBBUbFRQU8BS6FIIUURQqFAsT9RPiE80TsROXE4sTlBOoE7wTzxPwFCgUZRSHFIAUYxRRFFUUZxR7FIsUlRSTFIEUVhPkEtgQ9g5xC/IKPgmrCgEKuAtaC7sL5wv6DAIL+QvXC6ALYwsqCu8KqgpdChkJ4wmyCXoJOQjzCKwIZwglB+cHqgdtBzEG+gbEBosGTgYYBewFxAWUBWIFPAUkBQwE6wTJBLcEtgS3BKwEmASBBGcERgQiBAkD/wP/A/cD4QPAA5sDdwNTAzADDgLsAsoCpQJ2Aj8CCwHlAcsBswGUAW8BTQEyAR4BEAEGAPUA1gCtAIsAhACSAJcAdwAu/9//tv/G//D/+v/E/2P/C/7b/sb+rP6E/l/+SP42/hr99f3U/b79rP2a/Yv9gP10/WD9Sf01/SP9Ef0B/Pj89Pzr/Nb8vfyt/Kf8pPyi/KT8pvye/IT8X/w//Cf8FPwB+/D74/vY+9X72vvj++D7y/uy+6v7tvu++7T7oPuV+5T7jft3+1/7WPti+277cfty+3r7h/uM+4r7h/uK+5D7kvuO+4r7ifuJ+4j7hfuF+4v7lPud+6T7qPuq+637svu5+7/7xfvM+9X74fvt+/b7+vv+/AX8FPwn/Dn8R/xS/F78bfx8/Ir8mfyp/Lr8zfzh/Pb9Cf0a/Sr9Pf1R/WP9c/2C/ZX9qf27/cv92f3o/fb+BP4R/h7+Kf40/j/+S/5W/l7+Zf5u/nb+ff6D/oz+l/6i/qn+qf6m/qT+ov6g/p/+of6m/qv+rP6q/qf+qP6s/rL+tP6z/rP+s/6z/q/+q/6r/q7+r/6t/qr+q/6v/rL+sf6w/rH+tv69/sT+x/7F/sH+v/7C/sb+xf7D/sX+y/7S/tb+2f7Z/tf+0/7R/tj+5P7w/vj+//8G/wv/Df8O/xH/Ff8b/yP/LP80/zr/Qf9M/1n/Zf9w/3z/iP+S/5r/pf+2/8X/zP/N/9H/3P/o/+//8//1//b/9v/9AA0AHwAsADQAOwBHAFQAYABtAHwAiwCZAKcAtADAAMsA2ADrAQABEgEhATABQQFTAWkBhQGjAbsB0AHyAiQCUAJdAlMCWAKBArkC1gLNAroCwALmAxUDMgM4AzcDQgNdA30DlwOzA9UD/AQeBEAEcgS3BPsFLAVVBYkFyAYBBi0GWgaIBqkGvAbcBx0HageeB7YHzAfIB14GawVSBN8FrAeqCiYMPA1ZDY4Ncg2bDiwO1g9VD8AQThDrEUgRSBEhEQ8RARDYEKwQrRCvECoO0w0HC3gKgQn8CZ4JVwk3CTQJKQkECNEInQhoCDEIBQfnB8wHrQeTB4oHhgdxBz8G/Qa7BoEGTwYqBhMF+AXBBV8E2QRQA98DjwNJAusCagHVAUQAwABG/93/lf9v/1f/M/8C/tP+r/6P/mn+QP4a/fz94/3P/cH9u/28/cL9xv2//az9nP2d/a/9xP3Y/fT+K/57/tH/E/8u/yX/Cv73/vH+5/7C/oL+Q/4e/hL+Dv4I/f796P27/YT9Yv1x/ab91v3V/Zb9Kfyu/Ef8Bvvp+9/74/v6/CH8SPxb/Fj8UfxT/F78bfx+/I78mfye/KL8rPy7/Mn80/zg/PT9CP0Y/Sb9Of1R/Wz9gf2Q/Zb9lv2U/ZP9kv2Q/Yr9hf2E/YT9gv2C/YX9jP2Q/ZD9j/2S/Zj9ov2u/b39zP3c/e3+A/4a/jD+Rv5d/nX+i/6g/rn+2P76/xj/Nv9X/3r/mv+3/9X/+QAgAEQAYwCBAKEAwQDhAQQBKgFPAXEBkAGwAdIB9AIVAjcCWwJ/AqICxgLuAxkDQwNoA4YDogPCA+YECAQhBDQESQRmBIYEoASyBL8EygTPBNEE1QTfBOoE8ATxBPME9wT5BPgE+AT/BQkFEQUWBRsFIAUmBS0FOAVIBVsFbwWGBZ8FtQXIBdwF9wYUBioGOQZHBlsGcgaGBpYGpga2BsEGygbUBwEHGQczB04HbAeJB6YHwgfjCAUIJQhCCFwIdgiPCKkIygj1CSMJTQl3CacJ1QnwCfcJ+woHCgYJ1Ql7CSoJDAkWCRUI7gi2CJcImwisCLgIvQjECNEI3gjxCQwJKQlHCW0JsQoVCn4KygrxCwYLIgtCC1oLZwt8C6UL2wwNDDUMXgyIDKgMrAyTDGgMLwvkC4ILFgq4CnYKTQouCgoJ2gmhCWYJLgj5CMUIlQhtCE8INggeCAkH/AfyB+AHvQePB2EHOwcfBw4HBAb4BuAGvwadBoEGZgZCBhUF6QXIBbIFngWDBWEFPQUjBRcFGQUeBRgE/QTKBJEEZwRPBDID7gN3AuwCdwIvAgoB8gHkAeAB5wHvAfEB6gHUAacBYgEVANQAqACJAG0ATQAqAAb/6P/U/87/1v/l/+z/4f/G/6//rf+//83/x/+3/7H/u/+7/5z/Z/89/0H/fP/kAGUA4gE2AU0BOAErAVEBqQILAkoCVwI1Ae0BiAEgANkAugCYADn/nP8A/qn+mf6Z/n7+Uv4z/if+Gv4G/fr+BP4X/iP+Lf5D/mj+i/6d/qL+pf6u/rv+yP7S/tP+x/62/qv+qv6s/qv+rP6w/q3+mv55/l3+UP5N/k3+Uf5c/mf+Z/5Z/kj+Pv4//kT+Sv5M/kn+R/5M/ln+X/5U/j/+MP4u/ir+Gv4D/fH94v3M/a/9k/1//W39Vf0+/S79If0M/Oz80Py9/Kz8kfxt/En8Jfv4+8P7jvtd+yv69fq/+pD6Z/o8+gz52fmk+Wj5Jvjq+Ln4kfhp+Dz4CvfT95X3Vvcd9u72wvaS9l72J/Xu9bD1cvU99RX09vTZ9Lr0k/Rl9DX0CfPh87fzivNe8znzF/Ly8sryp/KJ8mryR/In8hHx/vHi8bnxjvFs8VbxSPE+8TDxIPEP8QXxA/EG8Q7xIPE28TjxCfCn8DTv5O/D77nvnu9o7ynu/O7p7uTu2+7G7qvulO6I7oHuee5r7lvuUO5O7lTuW+5f7l3uW+5e7mPuZe5g7lTuRO4v7hfuAO3u7ebt5+3u7fnuB+4Z7jDuSe5l7ofus+7l7xLvL+9A71Tvd++l79Lv/fAu8Grwq/Dl8RTxQfFx8aTx0PHq8fHx6fHc8dLx2PH78kPypfMH80/zdvOM853zrvO687zzs/Of84jzfPOL86/z2fP89B70TfSV9Pn1e/YT9qv3Mfem+CT4t/lQ+c36KPpx+sD7EftZ+5b71/wi/Gv8ofy8/MX8y/zd/QL9Of17/bn95P36/gD+AP4K/iv+av6//xj/YP+T/7v/7QAwAHsAvwDwAQsBEgEMAQQBBAERASYBOgFMAWABewGXAbEBzwIFAl0CywMyA3oDngOtA7YDxAPaA/wEJwRYBIsEugToBRcFSwWEBcEGAQZABn4GvQcBB0sHmQfpCDkIigjbCSgJaQmbCcMJ7QokCmcKqgrcCv4LHwtRC5YL2wwTDEIMeQzDDRkNaA2mDeAOJg57DssO/Q8LDwUO/w7+DvwO8w7qDuoO9Q8FDx0PQQ93D7wQBxBUEKMQ9hFLEaER8xJAEokS0hMdE2QTmxO4E7wTtBOwE70T3BQEFCcUPhRHFEcUPxQtFBcUCRQPFCEULBQpFB4UEhQEE+0T1RPNE9sT4xPEE3sTMBMKExETIhMhEw4TBBMSEy4TQxNFEzoTIxMFEvETCxNpE+oUQxRAE/YTsBOqE98UJBRZFHcUhBSFFIUUjRSbFJoUehRNFDYUPxRPFEwUPBQ/FF4UgxSaFLUU+xV3FgkWhRbUFv4XBhbqFq4WcBZSFlEWORXOFQYUGxNgEwYTDhNaE8sUQhSfFM0UyxSpFHEUJxPZE6MTnhPGE/oUIRQ9FGAUkhTOFP8VGBUVFPcUyRSUFGQUPBQcFAMT6xPTE7sTqBOeE6ETqxO1E70TzBPxFC0UaBSCFHIUUhREFFIUahR4FHcUcxRzFGsULBNrEd8PiwzoCr0JpQmtCl0LIAujC+UMBwwbDB0MBgvXC50LZAspCuYKmgpOCg0J1QmgCWgJKwjqCKMIWAgRB9MHmwdiBycG7wa8BocGUAYdBfQFzwWjBXMFTQUxBRUE7wTIBLAEqgSqBKQElwSFBGwESQQhA/8D6wPgA9QDwAOkA4EDWwM2AxMC8QLMAqQCeQJNAiIB/AHfAcYBrAGMAWkBSAEpARAA/gDzAOUAzACoAIgAfACBAIEAYwAg/9H/of+o/9P/7P/J/2//Dv7Q/rf+qP6R/nL+Vv48/h79+f3V/bj9oP2N/X79cP1d/UX9Lf0b/Q38/vzu/OX84vzc/M38vPyv/Kf8oPya/Jf8mPyT/IL8ZvxH/Cr8EPv8+/H76vve+877xPvB+7v7qfuW+5b7qfu7+7n7pfuR+4P7c/te+1T7Yvt9+4v7fftj+1b7Xvtu+3f7evt/+4f7jPuN+4z7jPuN+4r7hfuF+4z7lfud+6P7p/ur+7H7tvu7+8L7yvvT+9776fvy+/n7/fwA/Af8Evwh/DH8QPxN/Fr8aPx4/In8m/ys/Lz8zfze/O/8/v0L/Rr9Lv1F/Vr9a/16/Yv9nv2w/b/9zP3b/er9+f4I/hT+H/4o/jL+Pf5I/lH+Wf5h/mv+c/56/oL+jP6W/pz+mv6V/pH+kP6Q/o/+kf6X/p/+ov6e/pj+l/6c/qD+ov6j/qb+qv6p/qL+nf6d/qD+of6f/p7+ov6o/qr+qP6n/qj+rf60/rz+wv7C/r7+vf7A/sT+xf7F/sj+zv7T/tj+3P7e/t3+2f7a/uT+8/7//wf/DP8U/xv/H/8g/x//If8o/zP/P/9G/0v/Uf9c/2j/cf97/4n/l/+g/6T/q/+8/8//3P/g/+T/7P/2AAAABwANAA0ADAAPABwAKwA3AD8ASQBWAGMAbQB5AIkAmQCmALMAwwDSANwA5ADxAQMBFgEkATIBRQFeAXkBlAGsAcAB1gH3Ah0COQJEAk4CbgKiAswC0gLCAr4C1gL9AxkDJAMqAzQDRgNcA3UDkwO5A+QECQQlBEcEfwTKBRIFRgVuBZsF0QYDBi8GXQaLBq8GzQb5B0AHiQe2B8sH2gfIB04GUQU/BN8FxgfXClAMSA0/DWUNXQ2oDj4Oww8PD2QQARC9ETERPBEnES8RORESENQQvRCvEBwOrwzCCxgKJAm+CYgJWAk7CTAJIgkBCNoItgiPCGAILggCB9wHuAebB40HgwdsBzsG+ga6BoQGVwYvBgYF1QWTBTkEygRSA+YDkANGAusCbgHcAUoAxABL/+b/nv93/17/Qv8h/wL+5P7B/pT+Y/42/hP99/3k/dr92P3d/en99P3x/d39xv3A/cz93v3v/g3+R/6Z/u3/J/84/yb/Av7m/t7+3P7H/pX+Vv4g/f796/3j/d/90/21/ZH9h/2k/cj9xv2G/Rz8qPxE+/v70/vL+9j78PwL/Cb8PPxF/ET8Q/xM/GH8fPyU/Kb8rfyv/Lf8x/za/Of87/z5/Qj9Fv0e/SX9NP1N/Wj9e/2F/Yj9iP2K/Yz9jv2M/Yf9hf2G/Yf9iP2L/ZH9mf2d/Z/9n/2i/af9sP2+/c793/3w/gT+HP40/kf+XP52/pT+sP7I/uH+/v8d/zj/U/90/5f/tv/Q/+0AEQA5AFwAewCaALwA3QD+ASIBSAFtAY0BqwHKAesCDAIsAkwCbwKRArEC0QL3AyEDSwNuA4kDowPEA+wEFAQwBEUEXgSCBKkEwwTPBNME2QTeBN8E4ATnBPAE9ATzBPIE8wT1BPUE+AUBBQwFFAUXBR0FJwUxBTsFRQVVBWkFfQWSBakFwAXVBeoGAwYgBjoGTwZgBnQGigacBqsGugbKBtgG4wbvBxcHLgdGB18HeweZB7gH2gf+CCMIQwheCHkIlQivCMgI7AkeCVUJgQmmCc0J9woSChkKFwoWCf4JtQlMCQQJDwlLCWUJMAjTCJQIkAipCLwIwgjJCNYI5wj7CRkJPAlgCYgJxQogCocK3AsUCzoLXAt3C4ELgwuSC7oL7QwaDD8MagydDMQMyAyoDHUMPQv7C6MLOwrYCowKWgo2ChQJ7AnACZEJYAkwCQUI4AjBCKQIhghpCFIIQAgtCBIH7QfCB5cHbwdNBzUHKQciBxMG9wbTBq0GiAZgBjUGDgXzBeYF5AXiBdkFzQXGBccFxAWvBX8FOgTsBKkEgARxBGAEJwO6AzUCwgJ5Ak4CLwIbAhsCLAI/AkUCPgIqAgUBxgFzASAA4gC8AKYAjwBvAE0AMwAqADAAPQBGAEUAMgAR//H/4//s//n/+v/y/+3/7//q/87/nP9q/1T/cv/QAF8A8AFNAWIBUQFTAYUB2AIrAmgChAJtAhUBkQEdAOwA7ADTAGb/vf8r/uf+3/7Y/rH+fv5a/kf+Nv4q/jD+R/5d/mb+bv6G/qz+zP7c/uL+6f70/v//CP8N/wn++v7p/uT+7P72/vb+8f7u/uX+0P6x/pX+hP57/nf+fP6J/pX+kf6A/nL+c/5+/of+iP6C/nz+fP6D/o/+lP6M/n/+eP53/nD+W/5C/i3+Gv4C/eX9zP27/af9jP1z/WP9V/1E/Sj9D/z//Oz80Pyt/I38bPxD/BL73vur+3f7QfsP+ub6wPqS+l36Jfnq+av5bPk5+Rb4+PjS+KH4aPgs9+/3s/d+91D3Ivbw9rn2f/ZC9gP1yfWa9Xb1WfU69RX06PS19IT0WvQ19Avz3POu84rzavNJ8yXzBfLo8sfyoPJ68l/ySPIq8f/x0fGv8ZnxjPGB8XPxYvFS8UbxP/E98ULxU/Fl8WDxK/DL8GfwJvAN7//v3e+i72PvNu8h7xfvCu707truxu657q7uoO6Q7oLue+567n7ugu6E7oHufO567nvufe567nDuXu5I7i/uGO4J7gTuBu4M7hTuIO4z7kzuaO6F7qbuz+7/7yrvQ+9Q717vfu+u7+PwEvA+8G3wpfDe8RPxP/Fh8XnxhvGL8Y3xlPGk8bvx1PH28ivyd/LO8xnzT/N085Lzq/O787/zs/OX83XzYfNq84zztPPX8/30O/SZ9RP1nvYy9sD3Pfet+CD4o/kp+Zr58fo++pD64/sp+2T7pfvz/ED8ePyS/Jb8mvyv/OD9K/1//cX97P32/fD96P3p/gD+N/6L/uj/Nf9m/4T/o//PAAUANwBgAHsAigCQAJUAoQC7AN8BBAEiATcBRgFUAWQBgQG3AgkCawLEAwEDIgMyAz4DUANqA5EDxAP+BDsEdASoBNIE8gUKBSoFXwWtBg0GcAbPBygHewfGCAYIQgh+CL4I+wkwCV4JjwnNChUKWAqGCqMKwArxCzQLeAuwC98MEgxVDKMM8Q03DXcNvA4IDlMOig6jDqEOlg6QDo8OjA6GDoIOhQ6TDqsOzw8DD0YPlA/lEDQQhRDfEUURqxICEkUSgRLGExITUxN0E3gTcBNsE3UTihOpE80T7xQKFBsUGhQFE+UT0RPXE+4T9xPlE8gTthOuE6ATiBN9E5ETrhOlE18S/hLAEsAS4RL2Eu4S4hLsEwkTIBMcEwMS5RLOEsUS2BMYE3wT2RQBE+sTuhOiE7UT6BQfFEYUVhRTFFMUYxR9FIMUZBQyFBcUIhQ/FEsURBREFFoUfBSXFLIU4xU1FZkV9BY8FnYWpBa8Fq4WghZTFjMWFxXdFW0U0BQpE5gTNBMHExATPBNrE4QThxODE30TbRNXE1QTfBPLFCAUXhSEFKkU1hUCFRgVDxTvFMYUnRR2FFEULhQQE/YT3RPCE6oTnROdE6YTrhOyE7gTyhPyFC0UYxR7FGwUTBQ9FE0UaBRvFF8UTRRQFE0T7xLKELUOAAtvCckJZAn0CtcLiwvsDBcMMQw+DDQMDgvZC6MLbAstCuIKkApECgEJxQmJCU4JFAjYCJQISQgCB8YHkAdXBxoG4gaxBoMGUgYiBfgF1AWvBYYFXwU6BRYE7gTJBK8EogScBJYEjgSBBGoERwQfA/wD4gPNA7gDnwOBA10DNwMSAvEC0gKuAoUCWwIyAg0B7AHPAbQBmAF6AVwBPwEkAQ0A+gDsAN0AxwCoAIkAcQBiAFQANwAC/8D/jP+B/53/u/+v/3D/Hf7h/s7+0f7L/q3+fP5J/h79//3k/cT9n/19/Wj9XP1R/UD9Lv0h/Rr9Ef0F/Pr88fzk/NL8vfys/KD8lfyL/IX8gPx5/G38XvxN/Df8HvwI+/v78vvk+9H7wvu7+7T7pPuU+5T7qPu9+777qvuN+3T7Yvta+2r7lfvG+9f7ufuA+1H7QftJ+1X7Xftm+3H7e/uD+4n7j/uS+5D7jPuN+5T7nfuj+6f7rfu1+7v7vvu/+8L7yfvV++L77fv0+/n7/fwC/An8Efwb/Cb8M/xB/E/8Xfxu/IP8mPyr/Lz8y/za/Of88vz8/Qv9H/02/Uv9Xf1t/X39jv2e/az9uv3I/dn96f34/gX+Ef4b/iX+L/45/kL+Sv5S/lz+Z/5v/nb+fP6C/oT+gf58/nr+ff6A/oD+gf6H/pH+lf6R/ov+i/6Q/pP+kv6R/pX+nP6d/pf+k/6U/pf+l/6U/pX+mv6g/qL+of6i/qX+qv6w/rj+vv7B/sD+wP7E/sf+yf7J/sv+z/7T/tn+4f7n/uj+5v7o/vP/Av8N/xP/Gf8h/yn/Lv8v/y7/MP83/0L/Tv9V/1r/Yf9t/3n/gv+L/5n/qP+w/7D/s//C/9f/5//w//b//AACAAsAFQAeACEAHwAiACwAOQBCAEoAVgBmAHQAfACHAJYApQCxALwAzADdAOoA8gD8AQwBHAEpATgBTgFoAX8BkQGkAb0B3QH/AhwCMwJIAmkClwK+AskCuQKuAsYC9wMfAykDIgMjAzcDUgNoA30DnAPHA/YEGwQ2BFcEkATcBSUFWwWCBaoF1wYGBjMGYwaTBrwG4gcXB10HnAe/B84H2Ae7BzEGLQUiBNsF3wgCCm4MOg0ADRUNJQ2SDi8Omg7HDxIPvBCJEQYRGhEZET4RXxE/EPcQzxCtEAoOjQySCuEJ9gmoCY0JaglICTIJHwkDCOcI0gi8CJkIawg8CA8H4we7B5sHgQdfBzAG9ga9Bo0GZAY3Bf0FtwVpBRYEuARQA+cDjQM9AuECagHbAUwAyQBY//r/tf+I/2j/Tf82/yX/E/72/s3+nv5x/kf+JP4O/gj+C/4T/h7+JP4f/gv99f3v/fj+CP4Z/jj+cf67/v3/Iv8m/w/+7P7O/sL+wf64/pr+a/41/gT93/3M/cz9zf3D/bb9uv3M/cb9hP0L/If8H/vc+7T7ofup+8j78PwS/Cn8NPw4/Dn8PvxM/GT8gPya/K38uvzG/Nf86/z9/Qb9Cf0P/Rb9G/0d/SP9M/1M/WT9dP17/X79f/2C/YX9h/2H/Yb9iP2M/Y/9k/2Y/Z/9pv2q/a/9tf27/cD9xv3S/eT9+P4M/iT+Pv5W/mf+eP6R/rP+0/7u/wf/JP9A/1n/cf+Q/7L/0f/qAAcAKgBQAHMAkwC1ANsA/wEfAUABZAGGAaIBvAHaAfsCHAI8Al0CgAKhAr4C3AMAAyoDVgN8A5sDuQPdBAkEMgRQBGMEeASWBLcEzATUBNgE3gTkBOQE4wToBPEE9gTzBO4E7QTwBPIE+AUCBQ4FFgUbBSUFNQVFBVAFWgVoBXoFjAWeBbMFyQXeBfIGCQYlBkAGVgZnBnkGjQagBrEGwwbVBuYG9AcDBx8HOQdTB20HiweqB8oH7AgRCDUIVQhxCJAIsQjQCO0JEwlICYEJrQnNCe4KFAovCjIKJgoTCeoJlAkpCPAJFwlwCZkJXQjrCJsIkgitCMAIxQjLCNwI8gkKCS4JWwmHCbAJ4wouCocK2gsaC0sLdQuPC5YLlgumC8wL+QwcDDkMYwycDMcMygyiDGkMMwv6C6wLSgrnCpoKaApFCiUKBQnlCcIJmQltCUkJLgkWCPgI1AizCJoIhwhvCE8IKggDB9kHqwd9B1oHSQdCBzsHJwcEBtYGpgZ7BlgGPAYrBikGNwZJBlQGVwZaBl0GTQYYBbkFRgTaBI4EbARtBHEEUAP5A4EDFALKApoCdAJaAlkCcQKNApgCkwKDAmQCKAHOAWsBHwD4AOgA1wC4AJYAggCDAJAAmQCYAIsAcwBRADEAHwAfACcAKgAlAB4AGQAQ//r/0v+g/3j/ff/OAF8A9QFQAWIBXgF6AcACDgJOAoICpwKeAkgBvwFPASsBNgEYAKL/+v90/zb/JP8K/tn+pP6A/mr+Xf5d/nP+lP6p/q7+sf7F/uX+//8N/xT/H/8u/zv/RP9H/z7/LP8f/yX/O/9M/0v/Pv8v/x//CP7r/s/+u/6u/qv+s/7B/sf+u/6o/qP+sP7D/sr+xP65/rT+tv66/r7+vv63/rD+rP6p/qD+jv56/mf+Vf49/iP+DP34/eD9xP2t/aD9lv2D/Wn9Uf1A/Sz9Efzy/NX8tvyP/F/8Lfv6+8T7jvth+z37GPrm+qr6a/ov+fP5vfmU+Xr5YPk4+P/4wPiB+EX4Dvfd97D3gfdM9xH21PaV9lf2IfX49df1uPWU9Wn1OPUD9NH0qPSF9F70L/QB897zwfOk84LzYvNE8yLy+vLR8rDyk/Jx8kXyGvH48eHx0PHA8a/xnvGP8YPxe/F48X7xjPGW8YTxSPDt8JnwZvBS8EDwGe/d757vbu9T70XvN+8k7wzu9+7n7tnuyO647q7urO6u7q/uru6r7qfuoO6a7pbulO6O7oLuce5e7kvuOu4t7ifuJ+4q7jLuPe5Q7mnuhu6k7sbu7O8V7zvvVe9l73XvlO/B7/XwIPBB8F7whvC78PXxKfFP8WbxcvF18XPxdfGG8aTxyPHr8hbyUvKe8u3zMPNk84zzqfO487jzqPOJ82XzTfNP82nzjfOy8+f0PfS39UX10/Zb9tr3Tfe3+CH4kfkA+WH5sPn7+kz6oPrr+y37cvu//Av8Q/xg/Gf8avx+/LD9AP1Y/Zz9vv3G/cj9zv3b/fT+Iv5q/rv/AP8s/0b/W/92/5L/rf/D/9b/5//3AAkAIwBJAH0AtQDmAQUBEAERARcBMgFpAbUCBwJOAn4CmwKuAsEC2AL1AxsDSQN7A60D3AQGBCQELgQsBDUEYgS6BS8FrAYiBo0G7Qc6B3UHowfTCAsISwiLCMsJEAlfCbIJ+QopCkYKYwqPCssLCQtAC3ILpQvgDCcMeQzODR0NYg2iDd8OFQ41DjgOKg4cDhUOEQ4MDggODA4eDjkOXQ6ODtEPIw95D8gQFBBsENkRThGwEfUSLBJvEr8TBBMpEy4TKhMqEzMTQBNWE3cToRPME+0T9hPiE7wToROmE7wTvxOeE28TVRNSE0sTMhMgEy8TUhNTExMSshJ1En8StBLeEuES0RLQEuES7BLfEsESqBKgEqYStxLcEx4TbROnE7QTmhN9E4ATqRPmFBgUKxQhFBYUIRRAFFcUSxQhE/0T9xQNFCgUOBRCFFAUYxR4FJEUuhT5FUQVjhXLFgAWMxZiFn4WeBZSFh8V8xXLFZgVSRTYFFATyhNfEyATCRMEEwMTChMnE1gTixO0E9wUFxRiFKcU0xTnFPcVChUVFQsU6hTBFJ4UgRRjFEAUGhP6E+ETyhOzE50TkROQE5cTnhOlE7ITyhPwFCMUVRRxFGoUTRQ7FEgUYRRkFEcUKxQsFCETjxIAD3IMiwpACT8JgQpxC14L8QwxDE0MXgxdDEIMEwveC6sLdAswCuAKjQpACfsJugl7CT8JBwjNCIsIQgf7B70HhAdJBwwG1AamBn0GUQYjBfkF1QW1BZIFaQU8BRAE6QTKBLIEnQSNBIUEggR6BGMEPwQYA/gD3gPFA6kDiQNlAz8DFwLzAtQCtQKUAnACSwInAgEB2wG5AZwBgQFlAUgBLAEVAQIA8wDlANUAvwClAIYAZQBEACYACf/l/7X/g/9l/2j/fv+E/2P/KP73/uv++f78/tX+h/42/gX9+v38/ev9vv2I/WP9WP1Y/VT9Sf0+/Tf9Mf0p/Rv9CPzw/Nb8vPyl/JT8hvx9/Hb8bfxg/FT8S/xF/Dn8JvwR/AL79vvo+9b7xvu8+7L7o/uU+5L7ovu0+7b7ovuE+2n7W/tf+337sfvm+/r72/ua+1z7Ofsz+zr7RPtM+1b7Yvtw+337ivuQ+5H7kfuW+5/7p/us+7H7ufvD+8j7x/vC+8D7xvvS++H77vv1+/n7/vwF/A78Fvwd/CX8MPw9/Er8WPxp/H78k/ym/Lb8xvzU/OD86vz1/QT9Fv0q/Tz9Tf1d/W79fv2M/Zr9qf24/cj91/3m/fT+A/4P/hj+Iv4r/jP+O/5E/k/+W/5k/mn+av5r/mr+Zv5j/mb+bf50/nX+df57/oT+iP6E/n7+f/6H/ov+iP6D/oX+i/6N/ov+if6M/pD+kP6O/pD+lf6a/pv+nP6f/qX+q/6w/rf+vf7B/sL+xP7I/sz+zf7O/s/+0v7W/t/+6v7y/vP+8P7y/vz/Cf8T/xr/If8q/zH/Nv85/zz/P/9F/0//Wf9g/2b/cP+A/5D/m/+l/7D/vf/E/8T/yP/U/+X/9P/+AAQACQAOABQAHgAoACsAKAArADYARQBPAFcAZAB1AIIAiwCVAKUAtQC+AMYA0gDiAPIBAAERASUBNAFAAU8BZwF/AYsBkAGeAcAB6wIPAigCQAJmApYCvgLHArAClQKdAtEDEgM3AzUDJQMmA0EDYwN/A5YDswPbBAcELgROBHQEqwTwBTMFZQWKBawF1AYBBjMGaAadBssG9QcoB2IHkwesB7cHvgeZBwgGBAUHBNoF+ggmCnkMDQybDJcMsQ0yDdUONg5eDrYPdBBQENYQ9hECETIRXRFIEQYQ0BCKD8IONgxMCr0J8gm4CaQJgAlYCUAJLwkaCQYI/AjzCNwItAiBCEoIEAfXB6MHdwdPByYG+QbKBp0GcQY9BfoFqQVUBQEEqQRIA+IDhQMwAtQCYgHdAVUA3QB5ACr/7f+9/5T/cP9W/0X/NP8d/wL+6P7L/qX+e/5e/lX+Wf5e/mD+XP5Q/jv+J/4h/iv+QP5c/oX+u/7u/w7/E/8H/vD+0/62/qD+lf6N/n3+X/42/gb92f2//br9v/3A/b39wP28/Y/9JPyR/A77vPuV+4L7fPuM+7b76vwT/Cr8M/w3/Dv8RPxU/Gr8gvyZ/K38wPzR/OT89f0A/Qb9C/0R/Rb9GP0Z/SH9M/1K/V79bP12/Xz9f/2B/YT9hv2J/Yz9kf2W/Zr9nf2k/av9sv23/cD9zP3W/dr93f3o/fz+E/4o/kD+Wv5y/oT+lP6t/s7+7v8J/yL/P/9c/3X/jP+o/8n/5wACACAARABoAIgAqADOAPcBHAE7AVoBewGaAbMBywHpAgwCLQJNAm8CkwK0AtEC7gMTAz4DbAOXA78D5gQOBDgEXAR1BIIEiwSaBKwEugTDBMwE2AThBOIE4gToBPME+QT1BPAE7wTzBPgE/gUIBRQFHQUlBTIFRQVUBV0FZQVyBYUFmAWqBb0F0wXnBfoGDwYpBkIGUgZeBmwGfwaTBqYGuQbOBuMG9QcJBycHRQdjB4EHoQfBB+AH/QgeCEIIYwiBCKIIyAjuCRIJOgluCaUJ0gnxChEKNQpMCkkKMgoTCeIJjAklCOoJBglUCXsJSgjsCK0IqgjBCMwIzAjSCOUI/QkZCUEJdgmpCdEJ+wo4CoUKzwsJCzYLXgt9C44Lmwu1C98MCAwmDEIMbwypDNIMygyTDE4MFQvhC5wLQArkCp8KdQpWCjYKGQoDCe8J1AmwCZEJewlkCUEJEwjsCNIIwAipCIsIaghJCCIH7we5B48HdgdpB10HSQclBvEGuQaLBm8GYwZjBnEGjAasBr8Gwga+BrgGmgZNBc0FOAS2BGEERQRWBHYEdwQ9A9gDcAMkAvACxQKkAp8CtgLWAucC5gLbAsAChAIkAboBbAFJAT0BKgEFAOAA0ADZAOkA6wDcAMEAogCEAGwAXwBdAF0AWABOAEMAOQAvACIACP/b/6r/oP/nAHcBDAFiAXYBhAG9AhYCXgKGAqQCxALFAoICDAGqAYkBhQFUANgAPP/E/4b/Y/85/wX+2P66/qf+n/6p/sX+5P70/vT+9P8B/xf/Kv81/0D/Tf9c/2n/c/91/2v/XP9X/2j/hv+a/5f/hP9v/1v/RP8o/wz+9/7q/uf+7v72/vP+4/7V/tr+8f8G/wr/Av77/vz+/f77/vP+6/7i/tn+0f7K/sP+uf6v/qP+lP5//mj+Uf45/h7+Bf3z/ej92v3C/ab9jv17/Wf9T/03/SD9AvzZ/Kn8evxI/BL73Pux+5D7a/s1+vT6tPp7+kn6Hvn9+eL5wfmQ+VL5D/jR+Jn4Z/g6+A332/ei92b3J/bn9qz2evZV9jT2D/Xk9bb1hvVT9SL09/TS9Kv0fvRT9DH0FvP789rzufOb83rzU/Mp8wPy3/K48ozyYvJB8ifyD/H58eXx1PHG8b3xuPG58cHxzPHL8avxZvER8MvwpfCT8H3wUfAU79Pvnu9872zvY+9U7zzvI+8O7v/u8O7i7tru2u7d7tzu2O7R7sruwe647q/uqO6d7o7uf+5y7mruYe5X7k7uSe5N7lbuZe537ozupu7D7uLvBe8n70nvZ++A75jvte/a8ATwKfBE8FjwcvCY8Mjw+PEk8U3xc/GN8ZLxifGC8Y3xp/HK8ffyNPKD8tXzH/Na84bzpPOw86nzkvNx80/zOPM4807zcPOd8+H0TfTb9XX2BvaG9vz3aPfK+CX4ffjT+SL5aPmt+fv6T/qi+u/7O/uF+8r7//wi/DL8N/xF/G38tP0F/Uf9bf2E/Z/9wP3h/gD+Jf5Y/pL+xf7p/wL/Fv8l/y//Nf86/0D/TP9f/3v/nv/LAAUASgCOAL0AzgDKAMkA4AEUAVkBnwHYAf8CGQItAkACVQJrAoUCoAK6AtEC6wMGAxwDJAMjAy8DXAOyBCAElgUKBXkF3wYxBm4GnwbTBxQHYAe1CBAIcgjYCTkJiQnACeUKCQozCmYKnArRCwcLOwtwC68MAQxhDLwNAg05DWsNnQ2/DcQNsQ2aDYwNhg2DDYQNkA2nDcYN6Q4ZDl4Otw8VD2cPrxABEGkQ3hFGEZMR0xIdEnASthLcEuYS6hLxEvoTARMQEy8TXhOSE70TzxPAE5sTfRN9E40TiBNdEyYTCBMFEvoS1hKyEq8SxxLGEo8SPRIREioSbRKkErUSrRKpEq4SrhKcEoASbhJxEoASkRKmEsoS/BMuE0gTRxM9E0YTcBOvE+cUARP4E+IT2hPtFAwUGxQME+sTzxPKE9wT+BQSFCgUORRJFF0UexSpFOsVNhV6Fa8V2RYFFjAWRRY1FggV2RW7FagVhBU+FNgUZxQCE7oTjRNzE2cTcROZE9sUIRRdFI4UvBToFQcVExUSFQ8VDRUCFOgUxRSlFIoUchRTFC0UBRPkE80TuhOlE5ATghN+E4QTjxOeE7MTzRPvFBkURhRlFGQUSxQ4FEMUXBRbFDQUDBP/E9US/REJDjALWAmGCSwJ7wsHC9oMQgxrDH8Mhgx2DE0MGgvnC7ILdAsrCtoKigo+CfgJtQl3CTwJAwjHCIUIPgf3B7QHdQc3Bv0GyQabBnEGRwYdBfYF1AW1BZMFaQU3BQcE4gTGBK0EkQR7BHMEdQRyBFwENgQQA/ED2AO9A54DegNSAykDAQLeAr0CnQJ+AmECRQIjAfoB0AGuAZUBfgFgAT0BGwEBAPAA5ADZAMsAuAChAIQAXgAzAAz/7f/T/7P/h/9g/07/Uv9Y/0X/Gv7v/uH+7f7w/sb+bv4T/en9/P4m/jD+BP29/YT9bf1u/W/9ZP1R/UL9Of0w/SH9CPzr/ND8ufyk/I/8f/x1/G78ZfxW/Ef8Pfw2/C78H/wP/AL79vvp+9j7yPu5+6r7mvuL+4f7j/uZ+5n7ivtz+2H7Wvtf+3H7jvus+7v7rPuE+1f7Ovsy+zb7PPs/+0L7SftW+2j7ePuC+4f7jPuV+6D7qPut+7X7wPvL+8/7zPvF+8P7x/vS++H77vv3+/r7/vwG/BH8Gvwi/Cn8M/w//Ez8Wfxq/Hz8jfye/K78v/zP/Nv85/z0/QT9Fv0l/TL9Qf1S/WP9cv2A/Y79nv2v/b79zP3Z/ef99v4D/g7+F/4f/ij+Mf47/kf+Uv5a/lv+Wf5X/lb+VP5U/ln+Y/5r/m3+bf5x/nn+fP53/nD+cv58/oL+gP56/nn+ff5//n7+f/6E/on+iv6J/ov+kP6T/pT+lv6c/qT+q/6y/rn+v/7B/sP+xv7K/s7+0f7T/tX+2P7d/uf+8/77/vr+9/75/wT/EP8Z/yH/Kv8z/zv/P/9E/0r/T/9U/13/aP9x/3b/gP+Q/6T/tf+//8f/zv/T/9j/4f/u//wABAAKABAAFwAbACEAKgA0ADYAMgAzAEAAUgBfAGgAdACDAJAAmACkALQAxgDQANcA3wDrAPgBCQEjAT0BTgFXAWcBhAGdAaIBmgGiAcUB8wIUAicCQwJ1AqsCxwK5ApYCiAKmAuMDGwMyAywDJAMvA08DdQOWA7IDzQPtBBMEPQRoBJYEygUFBT0FaQWJBaUFxwXzBioGaQaoBtwHBQcsB1YHeQeNB5cHmwdyBuMF7AUFBPEGJAhQCoUL4Qw2DBIMKgy1DV4NyA4DDnEPQBAlELgQ5RDzERcROhExEP0QsRApDx0NhgvXCqEKEwnnCcMJjwljCVAJSAk7CSwJJgkjCRQI8Ai5CHYILwfqB6sHdwdOBysHBgbcBqsGdwY+BfoFqQVSBPoEnwQ+A9kDewMkAskCXwHnAW8BBQCwAG8APgAR/+P/tv+Q/3D/Uf81/yj/LP8v/xz+9f7R/sH+wf7B/rr+rv6e/of+bv5c/l7+d/6k/tv/C/8g/xf+/v7o/tf+v/6e/nv+Yv5R/kH+LP4N/eX9u/2c/Y/9jv2M/Yb9f/1p/Sr8uvwz+8f7i/tz+2j7afuD+7b78Pwa/C38NPw5/EH8Tfxe/HH8hvyb/K78v/zO/Nz85/zw/Pj9A/0P/Rf9G/0f/Sr9O/1N/Vz9af13/YH9hv2H/Yn9jv2U/Zr9oP2k/aX9qP2v/bn9wf3I/dP94v3u/fL99f4A/hX+LP4//lL+af6C/pn+rv7I/uf/BP8d/zb/VP90/5D/qf/E/+MAAAAdAD0AYACBAJ8AvgDlAQ4BMwFRAXABkgGyAcsB5QIFAikCSwJrAo0CsALRAu8DDwM0A1wDhwO0A+QEFAQ9BF4EeASLBJQElwSaBKEEqgS2BMUE1QTgBOME5QTsBPgE/QT7BPcE+QT/BQUFCwUTBR8FKQU0BUEFUAVbBWAFaAV4BY0FoQW1BcsF4wX3BgcGGQYuBkEGSwZQBlsGbgaDBpUGqAbABtsG9AcMBz8HXwd/B58HvwfeB/oIFAgxCFMIdAiRCLEI1wkCCSkJUgmECbsJ7QoUCjkKXgpzCmsKSwojCfIJpQlDCPkI7gkSCSsJEwjkCMwI1QjlCOQI3QjjCPUJCgkhCUoJgwm4Cd4KAwo9CooK0gsECyQLQQthC4ELoAvEC+8MFww4DF0MkQzMDOsM0gyJDDUL8wu+C38LLgreCqYKhQppCkgKLAofChsKDgnyCdQJvAmhCXcJQgkVCPsI6gjWCLwIowiLCGoIOQgFB9oHugefB4EHXwc1Bv0GvgaMBnYGewaSBrYG4wcNBx8HFQb/BucGvQZkBdYFNASnBE8ENARPBIUEpwSNBDkD0QN+A0QDGAL1AukC+gMXAywDMgMsAxEC0gJvAggBwwGnAZsBfQFNASUBGwEpATgBNAEZAPQA0AC2AKgApACiAJgAhgBzAGUAXABVAE4APQAV/+D/zgAQAKMBPwGdAbsB2QIhAn4CuQLIAs4C4gLnArYCWwIKAd4BuwFuAO8AZv///7//k/9n/z3/HP8D/vL+7f75/xH/J/8w/zL/Nv9A/0z/Vv9g/23/fP+I/5D/lf+V/5D/i/+Q/6f/w//S/8v/t/+i/47/dv9a/0H/L/8l/yL/JP8m/yD/FP8O/xn/Lv89/z7/O/89/0T/Rv8+/zL/J/8b/wz+/P7w/uv+6f7l/tz+z/6+/qr+lP58/mT+UP5C/jL+Gv38/d79x/2z/Zz9hv11/WP9SP0f/PD8w/yV/GH8LPwA+977t/uB+0D7AvrR+qr6iPpn+kT6Fvnb+Zv5W/ki+PD4wviW+Gj4Mvf297f3ePc89wT21/ax9oz2X/Yw9gT12fWr9Xj1R/Ud9PX0zPSk9IT0aPRM9Cv0CvPr88vzp/N+81XzK/MA8tPyqvKH8mjyS/Iw8hryCvH+8ffx9vH88gjyEfIH8dzxkfFA8QPw5PDR8LPwgPBA7/3vxe+i75Tvke+G72zvS+8z7yXvGu8M7wLu/+8C7wLu/O7y7ubu2u7N7sLuuO6r7pzuj+6I7ojuhe597nPube5x7n3uje6f7rHuxe7f7vzvG+8671jveO+Z77nv1e/w8A7wLvBL8GPwevCT8LDwz/D08SfxY/GW8avxofGL8X/xhPGb8cryFPJx8szzFvNN83jzl/Oi85Xzd/NS8zLzIPMj8z/za/Ol8/b0avT89Zj2Kfap9xz3gvfY+B34XPid+OD5Ivlj+ar5/PpW+q/7APtG+4D7sPvW++77+fwE/CD8Wfyg/OH9Ff1G/X/9u/3s/g/+LP5M/mz+iv6l/r3+0v7d/t7+2v7V/tL+1v7m/wT/K/9X/43/1AAlAGYAggB+AHcAiAC2APUBNAFoAY0BpwG4AcUB0AHaAeQB6wHsAesB7wIAAhgCLwJGAmkCogLuA0IDlwPyBFMEsgUFBUgFhgXKBhgGcwbaB00HyghGCLMJCQlJCXwJqwnaCgcKNQppCqEK1wsHCz4LiAvmDEMMiwzADPANHg08DTwNJg0LDPwM+Az8DQcNHA05DVcNeg2qDfEOTQ6uDwUPUg+iEAIQbRDSESgRdxHKEh8SZBKOEqMSsxLBEsgSyxLWEvMTIhNXE4QTnBOVE3cTWRNRE1kTURMsEv4S5hLeEsMShBI9EhkSGBIUEe8RvBGoEccSBBI7ElkSZxJxEngSdRJkEksSORI4EkcSWxJvEoUSoBK+EtcS6RL6ExQTPxN2E64T1RPfE8wTsBOmE7gT1xPoE9oTthOTE4gTmBO5E+AUAxQhFDUURRRgFJUU4xU1FXIVmRW7FeIV/hX9Fd4VvBWqFaIVjRVbFREUxhSLFGMUSRQ4FDEUORRVFH8UqhTMFOgU/xUQFRYVEhUJFQEU9hTjFMgUrBSUFHsUXhQ9FBkT+RPcE8QTrhOXE4ETcRNvE3oTjROiE7gT0BPuFBYUQBRbFFgUPxQwFD4UVhRPFBwT5hPAE2ISOg/6DREKhwlICX0KhQuSDDYMfAyaDKsMqQyLDFwMKQv2C7oLcgsjCtQKiAo9CfQJrwlwCTUI+Qi7CHoIOAf0B60HaAcpBvIGwAaOBl8GNgYTBfQF1AWzBY4FYgUxBQAE2QS7BJ4EfwRoBGMEaARnBFMEMAQLA+wD0QO0A5IDbANCAxcC8ALNAqoCiQJsAlUCPgIeAfQBzAGzAaQBkwFyAUYBGQD4AOQA1wDNAMEAsgCfAIQAYAA0AAn/5//O/7X/lP9u/0//P/80/x7+9v7J/rD+sv63/p3+W/4V/fz+If5e/nn+Vv4I/bz9kv2G/YH9cP1T/Tj9J/0c/Qz89PzY/MP8tvyo/Jb8g/x1/Gz8Y/xV/Ef8Ovwu/CH8E/wG+/z78fvk+9T7w/uy+6L7kvuG+3/7fPt6+3P7aPtc+1b7VvtW+1L7SvtG+0n7S/tH+z37NPs0+zn7Pfs6+zX7NPs9+077X/tq+3H7efuF+5H7mfug+6r7uPvE+8r7yvvK+8z70fvY++P77/v3+/r7/PwC/A38GPwg/Cj8M/w//Ez8Wfxq/Hr8ifyX/Kb8t/zJ/Nf85Pzz/QX9F/0k/S/9Pf1N/V39a/15/Yf9mP2p/bf9xP3Q/d396v34/gP+DP4U/h7+Kf40/j/+R/5K/kr+Sf5J/kr+Sv5M/lH+Wf5h/mT+Zf5p/m/+cf5r/mT+Zf5t/nX+dP5w/m/+cv51/nb+eP59/oH+gv6C/oP+h/6L/o7+kv6Z/qL+q/60/rz+wf7D/sX+yP7M/tD+1f7Z/t3+4P7l/u/++/8C/wL/AP8H/xX/I/8r/zH/O/9H/0//Vf9b/2D/Yv9m/3D/fv+J/4z/kP+c/7D/xP/Q/9b/2f/b/+P/8QADABAAFgAYAB4AJgArADEAPABIAE0ASgBKAFQAZQBzAH0AiQCWAKIAqgC0AMMA0gDfAOoA9AD9AQQBEQEqAUQBUAFUAWUBigGuAbYBpwGkAcAB6wIIAhYCMQJiApMCpAKWAokCnQLOAwADGAMYAxYDIgM9A2EDhQOnA8QD3AP1BBkESAR8BK0E3AUQBUMFbQWJBaAFvAXnBiMGbQa3BvEHFQctB0cHYwd2B4AHfgdTBssF5QUUBRYGXgiWCsEL+gwhC9sL5AxxDSkNrg4GDoIPRhAbEKoQ4RDtEPwREREUEO0Qfg+eDkEMrQtdCp8KVgonCd0JjAleCVcJWglSCUYJQQlACTQJEgjaCJMISAgBB8UHkwdpB0MHGwbsBrYGfAZABf4FsAVXBPcElAQwA84DcwMcAsQCZQH/AZkBPQDxALcAiwBjADcAC//g/7L/gP9Y/0//av+N/5T/fP9d/0z/Sf9E/zb/Jv8W/vz+1f6q/pL+n/7O/wn/Kv8i/vz+2f7K/sT+sf6I/lj+Mv4X/f/95f3F/Z79df1R/Tz9Mf0m/Rn9Bvzn/Kz8Uvvw+6b7fvts+2P7avuP+8r8Bfwp/DT8Nvw7/EX8VPxj/HX8iPyb/Kz8u/zH/NT84fzu/Pv9Cv0Y/ST9LP00/UD9Tf1Z/WT9cf1//Yn9jP2M/Y/9lv2e/aX9q/2w/bP9tv2+/cv91v3e/ej99/4E/gz+Ef4f/jX+TP5c/mz+gv6e/rr+0/7v/w3/Kf9A/1n/ef+b/7n/0//vAA0AKQBFAGQAhgClAMAA3QECASoBTQFsAY0BsgHUAfECDQIuAlMCdQKVArUC2AL5AxkDOgNdA38DoQPLA/8ENARbBHEEgASQBJ0EowSkBKYErwS+BM8E3QToBOwE8AT3BP8FAgUCBQIFCAUPBRUFGwUjBS4FOgVFBVAFWgVhBWcFcgWFBZsFrgXCBdsF9gYKBhcGIwYzBkEGSAZMBlgGbQaCBpUGqgbHBugHBgciB2gHhwemB8IH3gf7CBYILghJCGgIhwigCLsI3gkICTAJVwmGCcAJ+gotCloKgwqbCpMKbwo/CgwJyQlyCR8I8QjtCPYI9AjtCPMJAgkHCPwI9Aj7CQkJFAkjCUcJfgmzCdgJ/go9CpQK6QsgCzsLTgtoC4sLsAvVC/sMIAxHDHcMswzrDP8M2wyIDCkL3gulC2sLJQrhCrMKmAp/Cl8KRgpACkUKQAonCgYJ6gnKCZwJZAk1CRoJCQj1COAI0QjECKsIgwhXCDIIDwfiB60HegdIBw4GzQaXBoUGmgbIBwQHQwdyB3wHYAc0BwsG2AZ8Be8FUATIBHIEUwRpBKQE3ATdBJkELQPMA4oDYANBAzMDPANTA2gDcwNxA1UDEwKwAlACFQH/AesBwAGHAWEBXwFxAXwBbwFPASgBBQDtAOUA5gDiAM8AtACfAJMAjQCIAIIAdABMABP/+AA0AMsBdwHtAiQCTQKPAtcC/AL8AvYC/gL8AtQCjgJJAhEBzQFoAOkAcwAb/+D/tf+V/33/Zf9L/zT/Lv85/0r/V/9e/2n/eP+D/4f/iP+O/5z/q/+z/7X/tP+z/7T/uv/J/9//8v/5//D/3//M/7f/nP+A/2n/Xf9Y/1f/V/9X/1b/Vf9W/13/Zf9o/2j/bP91/33/ff92/23/Zv9Z/0X/MP8j/yD/Hv8X/wz+//7z/uX+0v6+/qv+nP6N/nX+VP40/hv+CP3y/db9vP2s/Z/9iP1h/TX9C/zi/LH8fvxP/Cn8AfvM+5D7WPst+wv67PrH+pn6X/og+eL5q/l5+Ur5Hvjy+MD4hvhG+Af3y/eT92D3NPcN9uL2sfaB9lf2MfYD9c31mPVq9UP1H/T69Nn0u/Sc9Hr0WfQ59Bjz9PPL86LzePNL8x3y8vLL8qfyh/Jr8lXyRfI68jXyNfI98kvyVfJK8hvxzfF78UHxIfEH8N/wpfBk8CTv8O/Q78fvyO++76Dvee9e71HvSO867yvvJO8l7yXvHu8R7wHu7+7f7tPuyu7A7rTuqe6k7qTupO6f7pbuke6U7p/uru6/7tHu5e7+7xrvOO9S72vviO+s79Dv7vAE8BnwMvBR8HDwjfCl8LnwzPDm8Q3xQPFw8Y/xm/GZ8Y/xgvGA8Z/x7PJY8r7zBvM181rzevOI83vzW/M18xbzBvMP8zXzdPPC9CD0lPUf9bL2Pfa89y/3j/fW+AT4K/he+J/45Pkj+WT5r/oI+mf6u/r7+yn7Tvtv+4z7n/uv+8r7/Pw+/IT8yP0Q/V/9q/3l/gv+JP42/kP+UP5i/nv+kv6b/pj+kP6I/oH+f/6M/qn+z/71/yT/av/CAA8AMgAsAB0AJQBMAIgAxQD7ASMBPwFRAVsBZAFsAXEBbwFjAVUBTwFZAXMBlgHDAf0CQgKIAsQC/AM7A4kD3AQqBHIEuwUKBV8FuwYlBqQHMQe6CC4IiAjQCQ8JSQl9CagJ0goDCj0KdAqjCtQLFgtqC8AMCAxBDHIMmgyuDKcMkAx8DHQMdgyCDJYMswzTDPENFQ1HDY8N5w5FDqAO9g9KD6MQAhBjEMERGxFzEcYSCxI9EmQSghKWEpsSmBKgErwS5hMVEz4TWRNcE0YTKhMcEx0TGBMDEuwS5RLeErISUhHfEYsRaBFhEVsRVhFeEXkRnhHCEeYSChInEjcSNhIpEhYSBBH9EgYSHRI7ElYSbhKCEpUSqhLFEuYTDRM6E24ToxPGE8QToxN+E3QTjROuE7YTmxNuE0oTQxNdE48TyRP6FBUUHRQoFFAUmRTvFTMVXhV+FZ0VthW5FaUVjRWCFX0VaxVCFQ0U4RTKFMQUxBTDFMIUxhTSFOEU6xTxFPYU/RUDFQIU+xTzFOkU2hTCFKkUkhR8FGAUPRQdFAUT8BPYE7wTnxOFE24TYBNjE3YTkBOmE7YTyBPpFBcUQxRXFEsULxQlFDgUShQ0E/ITrhNsEtYRZw7/DDoKJQl1CggLHQv/DHYMqQzHDNYMxwydDGoMOQwFC8MLdAsiCtUKiwpACfIJqAllCScI6girCG4IMgfzB60HZAcjBu0GugaEBk8GJgYLBfUF2AWzBYoFXwUvBP8E0wStBIoEbARZBFYEWgRWBEMEJgQIA+oDywOrA4kDYwM5Aw4C5QLAApwCeAJbAkcCMQIPAeYBxgG6AbgBqgGGAVMBIAD6AOAAzgDBALUApgCUAHwAXgA5ABH/7f/P/7b/nP98/1n/OP8b/v3+1/6t/o7+hP6I/oX+bP5J/jz+Vv6E/pz+gf47/e39tv2d/ZL9f/1d/Tf9G/0L/Pv85PzK/Ln8svyr/J38ivx5/G38YfxU/Ef8O/ws/Bv8Cfv7+/D74vvT+8T7tvup+5z7kPuI+4D7dvtq+1z7UPtI+0f7SftI+zn7IPsI+wH7CvsX+yD7JPsp+zD7M/sw+yn7Jvst+zr7SPtS+1n7Yvtu+3n7gfuI+5L7oPuu+7j7wfvL+9T72/vf++X77vv1+/n7+vv//Aj8EfwY/CH8Lfw7/Ej8Vvxn/Hj8h/yT/KH8svzC/NH83vzu/QH9Ev0h/S79PP1M/Vr9Zv1z/YH9kf2g/a/9vP3I/dP93/3r/fj+Av4K/hT+H/4p/jD+M/40/jT+Nv46/j/+Qv5D/kb+S/5R/lX+WP5e/mT+Zv5h/lr+Wv5g/mb+Zv5i/mL+Zf5p/m3+cf52/nn+ef55/nv+fv6D/of+jv6W/qD+qv60/r3+w/7F/sj+zf7S/tb+2/7h/ub+6f7u/vj/Bv8P/xD/Ev8e/zD/Pf9C/0f/UP9d/2j/cP92/3j/d/94/4L/k/+f/6H/of+p/7r/zv/c/+T/5//n/+z/+QANAB4AJQApAC8ANwA8AEAASgBZAGUAaABoAG4AegCHAJMAnwCsALgAwADIANAA2QDlAPYBCQEVARoBIgE0AUUBRwFDAVMBggG0AcQBtAGpAcAB6wILAhoCLAJMAmoCcgJvAoMCugL6AxsDFAMDAwkDKQNSA3UDkwOyA84D5AP6BB4EUQSFBLIE2wUMBUEFbgWKBZ4FuQXnBigGeAbIBwMHIQctBzwHVAdmB2sHYQcyBrIF2wUcBTUGnwkBC0oMgwyPDCIMDQyRDVoOAw58DvMPiBAiEJIQyhDdEOgQ+REFEN8QRg8UDX0MBQsfCs4KrQpgCeMJeAlOCVYJZAljCV0JWglXCUgJJgjxCK0IZAgiB+sHvgeSB2QHMgb+BsUGiwZOBgsFuwVdBPQEiQQiA8QDbQMbAskCdgIiAc0BegEwAPUAyACfAHcAUgAvAAT/zf+c/5D/r//h//8AAP/2//P/8//m/8z/sf+a/3z/R/8B/sb+tP7Q/vr/Cf7u/sD+p/6u/rz+rf58/j/+Df3m/cD9mP1t/T/9EPzm/Mj8t/yo/JX8fPxd/DD79vu++5f7hPt5+3X7gfuo++H8Ffwy/Dn8O/xB/E38W/xo/Hb8hvyX/Kj8tvzF/Nf86fz5/QX9Ev0g/S/9Pv1M/Vr9Zf1t/XX9gP2L/ZH9kf2Q/Zb9nv2l/av9sv26/cH9yP3T/eL98P36/gT+Ev4j/i/+Of5K/mL+ev6M/p/+uf7Z/vn/FP8w/07/av+D/5z/uf/Y//QADgApAEYAYgB8AJkAuADVAPABDAEuAVMBdQGVAbYB2wH/Ah0COgJbAnwCnQK8At0C/wMfAz8DYQODA58DuQPeBBMESARsBHwEhgSYBKsEtgS3BLkEwQTQBN4E6gTyBPkE/gUDBQYFCQUMBRAFGAUgBSYFLAU1BUAFSwVUBV4FZwVvBXcFhgWaBa0FvQXQBekGBQYZBiQGLgY9BkwGVQZeBm8GhwaeBrMGywbtBxEHMQdLB5AHrgfKB+AH9wgSCCwIRAhcCHgIkgipCMEI4gkKCTAJVAmACbsJ+gozCmQKkQqzCrcKlQpeCiIJ4QmVCUcJEAj7CP0JAwkLCRUJHgkcCRAJCwkSCRoJGwkhCT8JdAmpCdEJ+Ao6CpoK/wtKC3ELgwuUC60LywvpDAgMKgxUDIoMxgz3DQQM3gyMDC0L2wufC2cLKgrtCsEKpwqRCncKYwphCmcKYgpJCikKCwnsCb0JhAlSCTQJHwkLCPsI9QjzCOQIwwigCIIIYAgsB+wHsAd7B0IHAQbMBr8G3wcbB2EHoQfJB8QHlQdcBzAHAwazBjMFoAUlBNAEpASiBM4FCgUgBOsEfgQPA8UDnQOHA3wDfgOMA54DrAOsA48DSwLqApECXgJHAikB8AGzAZUBngG0AbUBngF6AVYBOQEjARoBGQESAP4A5ADRAMsAyADBALkAqACAAEIAGwBHANQBjQImAoECtwLlAwkDFwMUAxMDFQMEAtYCmwJlAioB1QFhAOUAfQAx//v/2f/J/8D/rf+L/27/Zf9w/37/hv+R/6T/u//G/8L/u/+7/8X/0f/X/9f/1f/W/9z/6f/5AAoAFQAYABMACf/4/+D/w/+n/5T/jf+M/4z/jP+P/5X/nP+f/57/mf+W/5n/of+p/6r/pP+f/53/mf+L/3b/Yv9a/1f/Uf9E/zT/Kv8l/x3/D/79/uz+3f7J/q3+jf5z/mP+U/47/hj9+f3l/dn9xv2l/X39Vf0t/QD8z/yg/HX8S/wb++b7tPuK+2f7RPsa+uT6pfpm+i75/vnR+aT5dvlI+RT41/iW+Fj4H/fq97r3jfdj9zb3BvbX9q32g/ZR9hj14/W69Zr1efVW9TL1D/Tt9Mr0p/SF9GH0OvQT8+3zxPOZ82rzPPMR8unyxvKq8pTyg/J48nHycfJ68ovymvKT8mXyFvHA8YDxWfE38QfwyvCL8FPwJvAK8ALwA+/579jvr++Q74Lvd+9m71XvTO9M70vvQu8y7x7vCe737uru5O7f7tjuzu7H7sPuwu6/7rzuuu677sHuze7e7vPvCu8j7z/vWu9x74Xvm++77+HwA/Ab8CrwOvBR8HDwk/Cz8NDw6vEB8RTxJPE08U3xdvGi8bjxp/GF8YPxwfIt8pjy3/MI8yjzSfNd81jzPvMf8wLy8vL88ynzdvPX9EL0ufU99cb2SvbE9zP3jffF99/39Pge+GD4qfjq+ST5Zvm4+hP6ZPqe+sD61vrs+wb7IPs8+2H7l/vb/Cf8ePzP/Sn9e/26/eX9//4L/g3+EP4g/jz+Vv5d/lT+R/48/jL+L/47/ln+ff6g/s3/FP9x/8H/4//V/7n/tP/SAAcARQCAALIA2ADzAQkBHwE2AUYBSQE+ASwBIgEnATwBXQGNAc0CFgJZAo0CuQLsAywDdQO9BAUEUgSiBPEFQgWjBh8GrQc5B7AIDghbCKII4wkZCUQJbAmbCdQKDQpACnQKtAsAC00LkAvIC/UMEwwaDA0L/Qv3C/sMBQwUDC0MTQxuDI4MtwzxDT0Nkg3rDkMOmg7uD0APmA/4EFwQvBEUEWMRqRHpEiMSUBJpEm0SaBJvEocSqRLNEvATDRMaEw8S+BLmEuES3BLTEtAS3BLhErYSSBG0ES8Q4xDSEOwRFhE6EUoRTBFUEXMRohHMEeER5BHfEdcRzhHJEdAR5BIFEi0SWBJ7Eo4SlRKfErUS1RL8EywTZROWE6cTjxNjE0cTTBNkE3MTZhNDEx0TChMZE0kTixPFE+QT6xPzFBUUVhSlFOgVFxU7FVsVdBV5FWsVVhVHFT8VMhUZFPcU2xTPFNUU4hTpFOgU5hTrFPQU+RT4FPQU8xTzFO8U5hTbFMwUtxScFIMUbxRaFD0UGhP+E+0T3xPGE6QThRNuE1sTUBNWE24TjROgE6cTtRPcFBUURRRSFDwUIRQfFDIUNhQJE7gTaRMSEk0Qqw47C7kKHwnhCqMLogxVDKwM2wz6DQAM4QysDHcMRwwQC8kLdwslCtgKjwpECfUJpgleCRwI3QifCGMIKwfxB64HZgchBucGswZ8BkYGHQYGBfQF2QWzBYgFXgUyBQEEzwSfBHcEWwRNBEoESAQ/BCwEFgP9A+EDwgOiA4QDYgM6AwwC4gK6ApMCbAJOAjcCHwH7AdIBtwGzAbYBqAGDAVABIAD7AN0AxgCzAKIAkQB9AGYATQAzABT/8v/Q/7P/mv9//1z/M/8L/uz+0/65/pz+h/6A/oT+hP57/nH+cv58/oH+bv4//gL90P24/bL9p/2H/Vj9Lv0T/QD86PzN/Lj8rvyp/J78j/x//HD8X/xN/D/8NPwn/Bb8A/vy++P70Pu9+677o/ub+5L7i/uG+4H7d/tp+1r7TftC+zz7Ovs4+y77G/sI+wD7BfsO+xT7FPsV+xr7Hfse+xz7HPsj+y77OftC+0r7VPtg+2r7cft2+337iPuU+6L7svvD+9H72Pvb+9/75vvv+/T7+Pv+/AX8C/wS/B38LPw8/Er8Vvxl/Hb8hvyS/J78q/y6/Mn81/zn/Pj9Cf0Y/Sj9Of1I/VX9YP1t/Xv9if2V/aP9sf29/cf90v3f/e39+f4B/gj+EP4X/hv+G/4b/h3+Iv4o/i3+Mf40/jX+Of4+/kT+S/5T/ln+W/5W/lH+Uf5W/lr+Wf5V/lL+Vf5b/mH+Zv5r/m7+cP5z/nX+ef59/oP+jP6V/p/+qv61/r7+xf7J/s/+1v7c/uD+5P7q/u/+8f73/wP/E/8e/yD/JP8w/0H/Tf9Q/1L/Wv9n/3P/ff+F/4f/hf+F/4//nv+p/63/sP+7/8r/2v/o//X//v////4ABQAWACgAMgA3AD4ARwBLAEwAUABdAGwAdAB2AHoAhACRAJ8AqwC4AMUA0ADZAN8A4QDnAPgBEgEnATEBOQFGAVMBUgFKAVgBiAG+AdUBxwG8AdUCBwIwAkECSAJVAmACXwJhAoMCxQMGAx8DEgMDAxIDPANmA4UDnwO8A9cD7AQCBCkEXASLBK0EzwT/BTkFaQWFBZoFugXvBjUGhQbTBwwHJAcpBzEHRAdSB08HPQcNBpYFzQUdBUwG4Al8C/oNTQ1RDMQMiwz4DcYOjA8dD4IP0xAaEFoQlBDAEN4Q8RD1ELkP9Q6UDPULsgslCxIK8Qp5CdYJZAlJCV8JdwmACYMJhAl7CWIJOwkICMkIgghACAsH3wexB30HRwcSBt8GpgZnBh4FygVmBPYEgwQbA8ADcAMkAtgCjgJHAf4BsgFqAS0A+wDPAKcAhwBwAFMAKv/+/+0ABAAxAFoAdACKAJ8ApQCNAFsAJf/6/9H/lf9D/vP+xP7E/tn+3P6+/pj+j/6o/sH+tf5+/jX98v22/Xz9Qf0J/NL8nPxt/E38O/wv/B38Bvvs+8/7sPuX+4v7i/uQ+5X7pPvC++78Fvww/D38RvxQ/F78avx1/ID8jfyc/Kv8uvzL/N788Pz8/QT9DP0c/TL9Sf1e/W79ev2B/Yj9kP2X/Zn9mP2b/aT9r/20/bf9vf3I/dP93v3s/f3+Dv4b/if+OP5L/lv+aP55/pL+rf7F/t/+/v8i/0P/YP99/5z/uf/S/+oABAAeADQASgBkAIEAnQC3ANEA7gEMASYBQQFgAYIBowHCAeICBQImAkQCYQJ/Ap0CuwLaAvwDHQM8A1sDfQOfA7oD0wP2BCgEWwR8BIsElwSrBMEEywTKBMkE0QTeBOkE8gT6BQIFCAUMBQ8FFAUaBSIFKQUvBTUFPQVHBVEFWQVhBWsFdgWABYoFmQWrBbwFywXcBfUGEAYlBjEGPgZSBmcGdwaIBp4GugbSBucHAQckB0YHYAd2B6kHxQfeB/AIAwgcCDcIUAhmCH8ImQiwCMoI6wkRCTUJVAl8CbQJ8gopCloKjgq/CtYKwAqECjkJ7wmkCV0JLAkaCR8JKAkrCSwJLQkrCSUJIwklCSYJIgkkCT0JbgmlCdMJ/go7CpULAAtfC5wLuAvCC88L5AwADB4MPgxoDJsM0gz7DQQM4QyYDDwL5wumC3ALOAr/CtAKsgqdCowKgQp/CoIKeQpjCkgKMQoUCeUJqQlyCU0JNQkiCRkJHAkhCRUI9wjYCMIIqQh+CEMICgfWB50HXwcxBysHTweGB7wH5gf1B9sHnwdnB04HQwcXBrMGMwW9BV4FFQTtBPoFMQVXBTUEzARVBAMD3gPPA8YDwgPHA9QD3wPeA8ADfAMfAs8CoQKHAl8CHAHdAccB2QHuAeYBwQGYAXkBYQFNAT8BOgEzASIBDgECAP8A+wDxAOYA1QCxAHUAQgBRAMEBcwInAqwC+AMWAxkDFQMdAy4DLwMMAtACmgJ0AkIB6QFvAPcAmgBYACcACgAEAAT/8v/N/67/p/+y/77/xf/Q/+T/9v/8//P/6P/k/+f/7f/x//X/+QAAAAoAFgAhACcALQAyADcANAAlAA3/8f/a/8v/xf/D/8L/w//I/9D/2P/a/9T/zv/P/9j/4P/g/9b/y//G/8b/wf+x/57/kf+O/4z/gv9x/2T/YP9g/1r/TP85/yb/E/79/uT+zP64/qj+lf55/lf+Of4k/hb+Bf3q/cb9n/12/Ur9G/zs/MD8lPxo/Dv8D/vk+7z7kvtj+yz67vqz+oD6U/om+fj5yPmX+WH5Jfjn+Kz4dfhA+A333/e094j3W/ct9v72yvaR9lj2LPYO9fb12PWx9Yj1YfU79Rf08vTM9KX0f/Ra9Db0EfPn87rzjPNd8zDzCfLq8tTyw/K28q3yrPK38s3y4/Lj8rnyZ/IL8cLxkfFn8TTw+PC+8I3wY/BH8DvwOfAt8A7v5e/E77Dvn++M73vvcu9w72zvX+9O7zvvKe8X7wvvBu8D7v/u9e7s7ubu4+7j7uPu5O7n7uvu9e8F7xvvMe9I72Dvee+P76Dvsu/M7/DwF/Az8EHwSfBX8G/wkfC28N7xB/Ep8TbxKvET8RbxSPGX8c7xx/GT8XLxlfHx8lPyl/LA8uTzCvMl8yrzHvML8vby5/Lv8xzzbvPX9Ev0yPVM9dH2T/bE9y33gPeu97v3w/fk+CX4cPiz+Oz5KPlw+cD6Cvo9+lX6XPpi+nP6j/qz+t/7GPte+6/8Cfxo/Mf9Hf1j/Zb9tv3E/cT9xv3a/fz+Gf4f/hD9+v3o/dv91/3l/gX+K/5Q/oD+zP8r/3n/lf9//1n/Rf9T/3v/tf/2ADYAbgCdAMgA9AEgAUEBUAFLATwBMAExAT8BWQGBAbgB+AI1AmgClALFAv8DPgN+A8MEDgRcBKYE8AVJBbkGPQa/BzIHkQfiCC0IcQioCNMI+gknCV4JmgnVChMKWAqiCuYLHwtLC20Lfwt+C3QLcQt9C48LnwuuC8UL4gwDDCcMWgyiDPcNTQ2gDfEOQA6LDtUPJw+JD/MQVxCsEPcRQhGPEdcSEBIvEjkSOhJCElUSbRKGEqMSwRLWEtcSyBK5Eq8SphKbEpoSrRLDErASVhG+ERsQpRCCEKkQ8BEgER0Q/BDpEQERNBFlEYARixGSEZkRnhGjEaYRqxG/EfISQRKMEq4SoRKGEoASmRLEEvMTIhNNE2UTXxNFEywTIhMjEyUTHhMMEvMS4BLmEw0TSROAE58TqRO1E9kUFRRbFJoUzBT0FRgVNBVDFT4VKhUTFQUVART9FO0U0xS/FL4UzBTZFNgU0BTRFN8U7xTzFOwU5BTcFNMUxhS3FKUUjhRzFFsUShQ6FCAUARPnE9YTwxOlE4ITaRNaE04TRBNJE2ITgxOUE5YToRPMFAwUPhRFFCwUFhQbFC0UHxPdE4QTMxLLEeAQGg2yC3gKRgpVCygMCQyZDOMNEg0sDSQM+gzCDI0MVwwWC8kLdQsjCtQKigpCCfcJqAlaCRQI1AiWCFcIGwfjB6kHZgchBuIGqgZ0BkEGGQYABe0F0wWtBYIFWQUuBP4ExwSRBGYESQQ8BDgEMQQkBBMEAQPsA9EDsQOVA3wDYAM6Aw0C4gK5ApACZgJEAioCDwHqAcABpAGbAZgBiAFlATsBFgD2ANkAvgCnAJMAfQBlAEwANgAjAA3/8P/O/6z/kf93/1f/Lv8F/uz+5P7d/sv+rP6Q/oH+gf6D/n3+bf5a/kn+OP4g/f393v3T/dv93/3G/Y/9VP0q/RH8+fzd/MT8tPyr/KD8kvyE/HP8XfxF/DL8J/wc/A77/fvt+9v7xvuv+577lPuO+4f7gPt8+3n7c/tq+177U/tH+zr7MPsq+yb7IPsY+xX7FvsV+xL7DPsI+wn7C/sO+xH7Ffsa+yL7K/s2+0L7T/tc+2n7cft2+3n7f/uI+5X7pPuz+8D7yPvM+9L72vvj++v78vv6/AH8B/wO/Bv8L/xC/E/8WPxj/HL8gvyN/Jf8ofyv/L/8z/zg/PD8//0N/R39Lv09/Ur9Vv1l/XP9f/2J/ZX9o/2w/br9xP3T/eP98P32/fr9//4E/gf+B/4K/g7+Ev4V/hf+G/4f/iL+Jv4r/jT+P/5J/lD+T/5K/kX+Rv5M/lH+T/5K/kf+SP5O/lT+Wf5e/mL+Z/5t/nP+d/58/oP+jf6Y/qH+qv61/sH+yf7Q/tf+3/7l/ur+7v7y/vb++f8A/w//H/8o/yn/Kv80/0P/TP9Q/1P/W/9l/2//ef+D/4r/jf+R/5n/o/+q/7D/u//M/9v/4//s//wADgAVABIAEwAfADAAOgA+AEUAUgBbAFsAWABbAGQAbQByAHcAggCSAKAArAC2AMIA0gDkAPAA8wDyAPsBDwEmATYBQQFRAWIBaQFpAXcBngHLAd8B1QHPAeoCHQJHAlcCXAJpAnoCgQKDApYCwwL1AxIDFQMXAysDTgNuA4gDowPDA98D9AQOBDgEaQSPBKYEwgT0BTEFYAV8BZUFwAX/BkcGkwbbBw8HJQcnBysHOQdBBzcHIAbxBoQFyQUmBWYHFQnUDHUN5A32DWoNIw16DjgO/Q+OD90P+BAAEB0QXxCsEN4Q5xDEEFkPcQ4NDJMLkQs6CzULAQpzCdEJcwlrCYgJoAmtCbgJuQmmCX4JTwkdCOAImghVCB0H7wfAB4wHWAcqBvwGxAZ/BjAF2QV0BQIEjAQiA8oDgAM3AuwCowJfAhsB1wGWAWABMwEHANsAuACjAJIAfABiAFUAYAB+AKUA0AEAASoBNgETAMoAdQAs//D/sv9m/xf+4P7Q/t3+5P7R/rP+qP65/sv+vP6C/i791P17/Sf82vyZ/F78KPv6+9/71vvS+8n7uvuq+5j7hft2+3b7hfuc+7D7wvvW+/D8EPwu/Eb8WPxm/HP8gPyM/Jj8pvy1/MT80vzg/O78+fz9/P/9B/0c/Tn9Vf1s/X39if2R/Zf9nP2h/aL9pP2r/br9yP3Q/dL91/3h/e39+f4I/hv+Lv49/kz+YP50/oX+kv6i/rr+2P70/xL/M/9X/3n/mP+3/9f/9AAOACUAPQBUAGgAewCUALEAzgDoAQIBHgE7AVYBbwGLAaoByQHnAgUCJAJDAmECfgKcArkC1QLzAxUDNgNTA28DkAOzA9MD8AQSBD8EawSJBJoEqgTABNME2ATUBNME3AToBPIE+gUCBQsFEQUVBRkFIQUqBTIFNwU8BUEFSgVUBV0FZQVuBXoFiAWSBZsFpwW4BcoF2wXuBgYGIAY0BkQGVwZxBowGpAa6BtQG7wcHBxwHNgdUB3AHggeSB7YHzwfkB/QIBwgiCEAIWghyCIoIpAi8CNcI9wkcCTsJVwl6Ca0J5gobCk4KjArPCvgK6gqpClIJ/AmsCWYJOAksCTgJRQlFCT8JPQlBCUIJPQk3CTIJLwkzCUcJcAmoCeAKEgpFCowK6wtSC6QLzwvaC+AL9AwWDDsMXAyCDLEM4w0JDREM8gytDFAL9QusC3YLRgsSCuEKvgqqCqIKnwqgCp0Kkgp+CmwKXApCChIJ0wmYCXAJWAlKCUgJUAlWCUgJKAkLCP0I8wjbCLAIfghICAwH0weyB7gH1wf2CAgIDggCB9YHlAdoB3IHmwemB2kG9wZ2BfoFiAU2BScFWwWSBYQFJASoBE4EJwQZBA4EBAQDBAoEEQQKA+cDpANQAwsC5QLLAp0CUwIQAfgCCQIbAgwB4AGzAZQBfQFoAVcBTQFFATkBKwEkASMBHwEUAQgA/QDjALIAewBtALIBRgIBAqgDDwMtAx4DEwMpA1ADVwMoAt8CqgKNAl8CAgGEARIAxACNAGIARgBAAEAAMQAR//f/8//8AAUACgARAB0AJQAiABoAEwAPAAsACQAMABUAIQAuADoAQwBFAEMARABNAFcAVwBKADUAIQARAAX/+//1//T/9//8AAIABgAGAAMAAwAKABMAFgAO////9P/z//P/6//b/8v/xP/D/7//tP+o/6L/o/+j/5r/if91/2D/Sv80/yD/DP71/tv+v/6k/o3+eP5l/lL+Qf4r/g395/28/Y/9Yv00/Qb82/yz/I38ZPw4/Ar72/up+3P7OvsE+tT6qPp8+k36G/nm+a75dPk7+QP4y/iU+F/4L/gE99r3rfd890f3C/bP9p32fPZo9lP2MvYG9dj1rfWF9V71N/UQ9On0xfSk9IL0XfQ29Avz3vOt83rzTfMt8xjzB/L48u3y7fL88xnzNvM68xHyvfJZ8gXxy/Gb8WnxMvD98Mzwn/B98GzwZvBb8D/wGe/2793vyO+z76Hvlu+P74TvdO9k71fvSe867y7vJu8j7x7vFu8M7wbvA+8C7wTvCO8O7xbvIe8w70LvU+9k73nvku+r78Dv0O/l8APwJ/BG8FfwX/Bq8H/wnPC88ODxDPE78VjxT/Ep8RDxK/Fz8bLxt/GL8WPxcPGv8fnyMvJf8o/ywPLk8vLy8/Lu8uXy3vLp8xfzafPR9EX0w/VL9dH2Tfa89x73aPeP95b3mPez9+74OPh/+L34+vk9+YT5xvny+gP5/fn0+ff6C/os+lT6hvrI+xr7dvvW/Db8j/zf/R/9TP1j/Wz9d/2Q/bX90/3a/cv9s/2b/Yj9gf2P/a/91/4B/jf+hf7f/yb/QP8v/w7+9v70/wr/OP98/8kAEgBRAIoAwwD7ASsBRwFOAUUBOwE6AUUBXAF7AaQB0wIDAjECXQKOAsQC+gMyA3EDvAQNBF8EsQULBXEF3gZIBqkHAgdVB6UH6wglCFEIdwiiCNgJFQlWCZwJ6AoyCnAKnAq5Cs4K2greCuEK7wsLCykLPwtPC2ELeQuYC8MMAgxUDK4NAw1QDZoN4Q4lDmkOuw8fD4sP7RA/EIsQ2REsEXoRuBHiEfkSBxITEiESMBJBElgSdRKOEpgSlhKPEogSexJoElwSZhKBEosSWxHgEToQqRBrEIwQ1hD/EOQQpBB+EJAQxhD9ESQRPhFTEWURdBF9EXgRaRFqEaYSHxKfEtoSuRJyEksSXhKSEsMS5xMCExgTIhMiExoTDRL8EusS4BLYEssSuRK1EtETBxM8E1wTahN5E5sT0RQSFFMUixS2FNcU9RUPFRoVDhTyFN0U3xTtFOoUzRSoFJwUrRTFFMwUwRS7FMQU1BTYFM4UvhSxFKUUmBSKFHwUaRRSFDwUKxQdFAcT7RPVE8ATqBOHE2cTVRNPE0cTPRNAE1kTeBOHE4YTjxO7E/sUKhQuFBcUCRQVFCEUCBPBE2sTHBKjEZMPrw1UC1gKcgqwC4UMTwzMDRMNPw1QDT0NEQzhDK8MbwwgC8oLdAsfCsoKfAo4CfUJqAlVCQkIyQiKCEUIAwfNB50HZQcjBt8GogZtBj4GFQX4BeIFxwWiBXYFSgUfBPEEvASFBFYENgQmBB8EFgQJA/sD7QPaA70DnAOAA2kDUQMuAwYC3wK6ApICZQI+AiECBgHjAbgBkwF9AW8BWwE/ASEBBwDuANUAvAClAI8AdwBcAEAAKQAXAAX/7v/O/6v/jP9x/1P/MP8M/vf+9f76/vH+0P6h/nr+bf51/n/+df5U/i7+Ev4A/fD94v3j/fb+Bv31/b39eP1D/SP9DPzz/Nr8yPy5/Kn8l/yH/HX8X/xF/C78IPwV/An7+fvq+9r7xPus+5n7j/uJ+4L7evtz+2/7avti+1n7UvtJ+z77Mfsm+x77GPsV+xT7FPsT+xH7DfsL+wj7BvsG+wn7DPsP+xL7G/sn+zb7RvtX+2n7ePuA+4T7ifuQ+5j7oPuo+7D7uPu/+8f7z/vX+9/76Pvx+/j7/fwF/BT8K/xA/E38VPxc/Gn8d/yC/Ir8lPyi/LX8yPzb/Ov89/0D/RH9H/0t/Tn9R/1X/Wb9cf16/YX9lP2h/az9tv3F/db94/3p/ez97/3z/ff9+/4B/gb+CP4G/gT+B/4N/hP+GP4d/if+NP5A/kb+Q/49/jf+Of4//kT+Q/5A/j7+Qf5H/k3+Uf5U/lr+Yv5r/nP+ef6A/on+lP6d/qX+rf63/sT+z/7X/tz+4v7p/vD+9v75/vr+/v8H/xb/I/8o/yj/Kv80/0H/S/9T/1z/Zv9t/3L/eP+C/43/l/+g/6j/rf+t/7H/wP/U/+D/3//g//AABwAWABYAFwAjADMAOgA6AEEAVQBoAG8AagBnAGoAcAB0AHsAhwCXAKYArwC0ALwAzADmAP0BCAEGAQMBCgEZASUBMAE/AVYBbAF9AY8BqgHEAc8ByQHIAd8CBAIeAigCOAJhApoCwQLJAsICygLnAwkDIwM0A0MDUwNlA30DnQPBA+AD+QQYBEUEdASSBKIEuwTsBSkFWgV6BZ0F1AYaBmEGpAbjBxIHJwcpBy4HPQdGBzsHIAbtBn0FyAUyBX0HLAneDHUN7g4qDdUNsw4HDqEPPA+yD/MQAg/9EBUQXxC4EOMQxxBpD8kO0Q2MDE0LewswCxwK3wpmCe4JtAm2CckJ1QncCeMJ3Qm9CYoJVQkiCOgIpQhhCCkH+gfKB5gHaQdABxQG2QaPBj0F5wWHBRkEowQ6A+UDngNTAwECrgJjAiEB5QGxAYoBaQFFARgA7ADNAL4AuAC0ALUAvQDNAOgBEwFKAXkBhgFlARoAuQBYAAT/vP97/z//E/8F/xP/I/8a/vn+1/7H/r/+pv5r/g/9oP0s/MD8avwp+/T7xfui+5P7lvue+5/7mfuQ+4P7b/td+1z7c/uZ+7z70fve++78Cvwu/FD8Z/x1/IH8kPyg/LH8wvzV/Of89/0D/Qz9EP0Q/RH9Hf0z/U/9af18/Yv9mP2h/ab9qv2u/bH9tf2+/c/94v3v/fX9+v4C/gz+F/4m/jn+TP5d/m3+gf6W/qf+tP7E/t3++/8Z/zX/VP91/5f/t//X//cAFAAsAEQAXAB1AIwAogC7ANgA9AEOAScBQgFeAXgBkAGqAccB5AIBAh4COwJZAncClgK2AtQC8QMPAzADUQNtA4gDpQPIA+sEDAQuBFMEdgSQBKQEtwTLBNgE2gTYBNwE6QT2BP8FBgUOBRYFHQUiBScFMAU4BT8FQgVGBUsFVAVdBWcFcAV8BYwFnAWnBa8FugXMBeIF9wYMBiIGOQZOBmAGdgaSBq8GyAbfBvgHEgcpBz4HVgdwB4YHlAehB8EH1wfpB/oIDwgtCE4IbAiGCJ8ItwjLCOEI/gkgCT4JWAl4CaYJ2woQCkoKlArjCxEK/wq1ClYKAAm2CXQJRgk6CUkJWwleCVgJVwlfCWEJWAlJCUEJRAlMCVoJeQmuCe8KKApTCoMKzgszC5QLzQveC+YMAAwtDFoMfAycDMoNAA0rDTcNFwzMDGUL/AupC3ILSgsgCvIKzAq6CroKwwrICsQKtAqfCo4KfwplCjcJ+wnECaEJjwmICYoJkQmRCX8JXwlICUUJSglECScI+Qi+CH8ITQg9CE4IZghoCFYIQAgmB/YHuAeYB78IFQhPCDEHvwckBoEF5wV4BV0FlQXeBeIFiwUKBKUEcgRdBEwEPwQ9BEIEQQQvBAUDwwN7A0MDJwMUAugCnAJQAikCLQI3AigB/gHSAbABlgF8AWUBVgFOAUUBOwE4AToBOwE1ASwBJQEXAPUAxwCpAMUBMAHaAo0DCwM0AyMDGQM9A3YDiANYAwsC0gKtAnMCCAGIASIA5gDAAJwAfwBzAG8AYwBNADoANQA5AD0APwBEAEoASQBDAD8APgA7ADIAKgAuADsATQBcAGgAbwBuAGgAZwBuAHcAdQBoAFgATABDADUAJgAdAB8AJQArAC0ALQAvADEANQA3ADcAMAAlABwAGQAcAB4AGQANAAP//P/4//L/6f/k/+P/4v/b/87/vv+t/5r/g/9s/1n/Rv8r/wn+6f7W/s3+wv6s/pL+e/5p/lH+Lf4B/dT9p/16/Uz9Ivz9/Nr8s/yE/FL8H/vt+7r7h/tW+yn6//rU+qX6cPo2+fr5wfmM+Vf5IPjn+LH4gvhX+Cv3+vfE94r3TvcX9u/21/bE9qr2gvZS9iP19/XN9aP1evVT9TD1EPTx9ND0qvSD9Fv0L/P788LzkvNy82DzUPM/8zLzNPNJ823zjPOQ82TzDvKm8kryBvHR8aHxcPE+8Qvw2PCv8Jrwk/CK8HDwTPAq8BDv++/l79DvwO+x76Dvju+A73bvau9a70rvQO867zXvLu8m7yDvHe8c7x3vI+8t7zrvR+9U72DvbO9975bvt+/Y7/Dv/vAI8BrwNvBS8Gbwc/CD8Jvwt/DO8OLxAfEy8WPxdvFf8TnxLvFN8XbxhPFx8VzxYvGA8abxyfH18jDybPKX8q3yufLC8sbyzPLk8x3zcvPV9ED0uPU+9cf2Q/at9wb3R/do92/3c/eL97/4BPhO+Jb42/kf+WD5mvnE+dL5xfmu+aT5rPnD+eD6CfpE+pD65vs++5f78PxF/JD8yfzv/Qn9I/1D/Wb9f/2H/X/9bv1Y/UT9Ov1D/WD9iP22/e3+M/5+/rn+2v7i/t7+2P7V/t3+//8//47/2QAVAEgAfQC5APUBJAE8AT4BNgEyATgBSAFdAXcBlAG0AdoCBgI3AmoCmwLOAwwDWwO4BBsEfwTgBTsFjQXWBh0GZwa4BwwHWQeZB8gH7wgZCEsIhgjGCQsJVwmiCd0KAQoVCiUKOApNCmMKfwqkCsgK4wr1CwULGgs8C28LtgwKDFwMpQzoDS0Ndg2/DgwOZA7IDy0Phw/XECUQdxDJERIRUBGCEagRwRHQEdoR5BHzEgoSJhJAElISWhJdEl0SVhJEEi4SJRIzEkoSQRHxEV4QwRBrEHkQuhDZEKwQWRAnEDIQZhCfEM8Q+BEZES0ROxFDETwRIxEcEWER/BKkEu8SvRJTEhISIRJdEpISshLHEtwS7xL9EwES9xLfEsYSuBK1EqwSlhKGEpUSxhL/EyYTORNGE18TjBPNFBUUVRSAFJgUsBTSFO4U7xTTFLgUuhTQFNcUuBSKFHUUihSxFMUUvhSwFKwUsRSuFKEUkBSEFHoUbxRkFFoUTBQ4FCIUDhP9E+kT0hO8E6cTkBNzE1oTSxNEEzwTNBM5E1ITbRN1E3ATehOmE+QUDhQSE/8T9xQDFAsT8ROyE2gTGBKFEU4PWA0UC1MKqAsBC80MgAzwDTINWw1kDUwNJQz/DNEMigwuC9ILfAskCsgKcwowCfIJpglPCP8IvwiBCDsH9Qe+B5YHaAcpBuEGoAZpBjoGEQXyBdkFvQWVBWUFNAUJBOAEsQR9BE0EKAQSBAUD+QPrA98D1QPGA6sDiQNpA1ADNgMXAvQC1gK4ApMCZQI5AhgB/gHeAbUBigFnAU0BNgEgAQsA+ADkAM8AugCnAJQAfABgAEMAKgAWAAT/8f/X/7X/kv9z/1j/Pf8i/w7/Bv8G/v3+4P6t/nz+Z/53/pb+nv59/kP+E/38/fL97P3r/fn+Cf4A/dH9kP1a/Tn9Iv0L/PT84fzR/Lv8ofyK/Hf8ZPxN/Df8JfwX/Af79vvn+9f7w/us+5n7jvuK+4X7fPtz+2r7YPtV+0r7RPtA+z37Nvsr+x37EfsJ+wf7CfsN+xH7FPsT+w77B/sD+wP7BfsE+wX7CvsV+yP7MvtG+137c/uE+477l/uf+6X7pfum+6v7tPu++8X7y/vQ+9b73fvl++v77/v2/AX8Gvwu/Dv8RPxN/Fv8afx0/H38h/yX/Kr8v/zT/OP88Pz6/Qb9Ev0f/Sr9Nv1F/VT9Yf1r/Xb9g/2R/Zz9qP23/cf90/3a/d794f3l/en97/33/f39/f35/fb9+v4C/gn+Df4S/hv+KP4z/jn+OP4z/i/+L/4y/jT+NP4z/jX+O/5D/kn+Tf5R/lj+Yf5r/nX+ff6F/o/+mv6j/qj+rv64/sb+0/7Z/tr+3P7j/u3+9v75/vv+//8K/xf/IP8j/yb/MP9A/03/Vv9h/3H/gP+H/4b/hv+M/5b/ov+v/7n/vP+4/7f/wf/S/9r/1f/S/9//9gAFAAkADwAgADIAOAA0ADkATwBrAHsAfgB+AIQAiwCQAJQAnQCqALYAvgDAAMMAzQDjAP8BEgEUAQ0BCwESARsBHwEmAToBWQF5AZMBpQGxAbUBtgG8AcwB3AHgAeICAQJMAq4C9gMHAvAC3QLrAxIDOANKA0sDSQNRA2kDjgO3A9oD+QQfBE4EewSWBKMEuQTmBSEFVgWDBbcF9wY8BnkGrQbfBwcHGgchBy4HSAdeB1wHPAb1Bm8FswUqBYUHKAmtDBMNhA33DgAOKg6QDwIPXw+qD+oQFhAzEFoQmhDSENAQgA/yDzkOTw08DDILcwsSCuUKsQppCioKDQoHCgUJ/gn6CfUJ4Qm4CYAJSQkVCN4IowhrCDoICwfYB6MHdAdOByMG6AadBkwF+AWdBTMEwgReBA0DxQN0AxUCtQJhAh0B5gG9AaEBjgFzAUoBGQDwAN4A4gD1AQoBGQEhAS4BSQFuAY8BmwGLAVoBCQCeAC//1f+Z/3L/Wf9R/1r/Y/9T/yL+4/6w/o7+av4s/cr9TPzJ/Ff8BfvQ+6n7ift2+3b7hPuT+5j7lvuP+4D7ZvtP+037afuW+7770/vZ++T7/fwk/Er8Zfx0/IH8kfyl/Lj8zPzj/Pz9E/0j/S39Mv01/Tr9R/1b/XH9g/2S/aH9r/25/b79wv3G/cr9zf3T/eH99P4H/hP+G/4i/ir+NP5C/lT+Z/55/or+n/61/sj+2P7r/wX/Jf9C/13/ev+Z/7n/2P/2ABQALwBHAF0AdwCSAKwAxQDfAPwBFwEwAUcBXwF5AZMBrAHGAeIB/gIaAjcCVQJ0ApECsALQAvADDQMrA0oDawOKA6UDwAPfBAIEJARGBGYEggSZBK4EwgTRBNkE2gTeBOkE+QUFBQwFEgUbBSUFLAUyBTgFPwVFBUkFTgVTBVcFXgVmBXIFfwWOBZ8FsAW+BckF2AXtBgUGHAYwBkQGWgZuBoAGlAatBsYG3AbwBwUHHAczB0gHXgd1B4sHnAesB8wH4AfzCAYIIAg/CGEIgAibCLQIxgjTCOMI/wkjCUUJYgmBCaoJ2QoMCksKnQrwCxYK8gqVCjEJ5wm1CYgJYwlVCWMJdwl9CXgJdQl5CXoJbQlcCVYJXglpCXMJhwm2CfoKNwpdCn0KuQsbC4QLyAvgC+0MEAxIDHsMnQy6DOgNJQ1ZDWkNRQzxDH0MAwuiC2cLRQsmCv0K1wrGCs8K5Qr0CvAK3ArBCqsKlwp6Ck4KGwnyCdwJ0wnQCc8JzwnHCbIJmAmMCZQJpQmpCZQJaQkuCPMIzQjMCOMI8QjdCLcImwiKCGkIOAgiCFIItgj+COQIZAesBusGPQXGBasF6wY+Bk4F+wV1BQAEugSVBH0EcQRxBHYEbwRRBB8D3wOgA3MDYQNZAzgC8wKeAmICTAJIAjsCHAH2AdIBsAGNAXABXgFVAU4BSAFJAVMBXAFeAVkBUgFHATIBEwD4AP4BQgHKAm8C8gMoAyUDJANQA5EDqwOCAzgC+ALCAnQB/gGCASwBAgDpAMwArwCgAJkAjQB7AGsAZABhAGAAYgBpAG4AbABmAGUAZQBgAFUATgBWAGkAewCHAJAAlwCYAJQAkwCXAJsAlwCLAIAAeQBvAF8ATQBFAEkAUwBXAFUAVABYAF4AXQBVAEcAOwA0ADQAOAA+AEIARQBEAD8ANwAuACUAHwAcABcADwAC//X/6//f/83/tP+c/4v/fv9q/0//Of8v/yv/HP78/tf+u/6p/pT+cv5H/hr98P3E/Zf9bv1J/Sb8/fzN/Jn8Zvw1/AT71fuo+337U/so+vj6wfqC+kL6CPnV+aT5b/k4+QT41/iq+Hj4QPgE98r3lfdq90z3Nfcc9vf2yfaZ9mz2QfYV9er1wfWd9X31YPVB9R70+PTQ9Kj0evRC9Abz1/O686rzmvOG83jzf/Ob88Hz3PPY86jzUvLr8ovyPvIE8dTxqvF98UnxEvDl8M/wx/C88KPwf/Bf8EjwNPAe8Abv8e/d78nvuO+p75zvjO9372PvVe9O70jvQu887zjvNe817zjvQO9N71zvaO9w73nvie+n79LwAvAo8DvwO/A18DfwRvBb8G/wf/CT8K/wz/Dl8O3w+vEe8VbxgvGJ8W3xTvFH8VPxYfFm8WfxbPFw8XDxefGc8dbyE/JA8l3ydfKL8pzyr/LW8x3zefPZ9Dr0pvUn9bH2MPaY9un3IPc+90r3VPds95j31vgh+HP4wvkH+UL5d/mg+bL5pvmM+Xr5e/mK+aL5x/n++kX6kvrc+yb7dfvG/A78SPx2/KD8yfzv/Qv9G/0g/R79Gf0P/QP8/v0I/SL9R/1z/aX92/4O/jn+YP6J/rP+0/7k/vT/FP9P/5T/z//4ABgAQgB/AMkBDAE1AUABNQEjARYBEQERARgBJgE/AWIBjwHEAfoCMAJpAq8DCQNyA+EETQSvBP4FOwVsBZ4F2wYnBnoGzAcTB0kHcgecB80IBAg+CHsIvwkGCUEJZgl7CZEJsgnbCgEKIwpECmUKgwqaCq4KyArxCy0LeAvFDAYMOwxxDLQNBg1gDb8OHw5/DtgPKA94D8wQIBBqEKcQ3hETEUERXhFrEXIRfxGVEbIR0xHzEgsSGxIjEigSKxIlEhIR+RHvEf4SDBHjEWgQxBBTEEgQgRCiEHkQKQ/zD/cQHhBMEHoQqBDNEN8Q6BDxEPIQ4hDiES0RzhJ6EsMSiRIWEdIR4xIhElgSehKVEq8SxBLQEtMSyxK4EqISmBKZEpMSexJiEmMSiBLAEu0TBhMTEygTUBORE98UIRRFFFQUZhSLFLMUvxSnFIkUhRScFKoUlBRoFFAUYhSMFKsUrhSgFJUUkRSMFIAUdBRrFGIUVhRHFDoULBQbFAYT8BPbE8cTsROcE4oTdxNiE04TPhMxEyUTIhMwE0sTXRNbE1ITXhONE8oT8BPyE+MT3RPnE+sT0xOgE1wS/RJGEO4O+gzlC2wK+wtnDCEMtA0LDUMNaQ1xDVcNMg0PDOEMlww5C94LiwszCtEKdgowCfIJpwlQCP4IvgiDCD8H+gfDB5sHbgcvBuYGogZpBjgGDQXtBdQFtgWLBVUFIAT1BNAEqAR5BEkEIQQFA/ED3gPMA78DuAOuA5kDeANWAzgDHQL/AuECyAKwAo8CYQIyAg0B8QHUAa0BgQFZATkBIAELAPcA5ADRAL8AsACiAJEAegBhAEcALgAXAAb/9v/j/8f/ov9+/2L/UP9C/zP/Iv8S/wD+5f66/oz+dP6F/q/+w/6k/mH+KP4S/hT+EP4C/fj9+f3y/dL9oP1y/VT9PP0i/Qn89fzk/M38sPyU/H78bPxY/EP8L/wc/An79Pvj+9L7v/up+5b7jfuK+4b7fvtz+2f7WvtL+z77NPsx+zH7Mfsr+x/7EfsH+wT7CPsO+xT7F/sV+w77BvsB+wL7A/sB+wD7AvsH+xD7HPsu+0b7Xvty+4P7k/uh+6n7qfuo+677ufvD+8j7yvvN+9L72Pvd++H75vvt+/j8CPwY/CX8Mfw+/E38XPxo/HL8fvyO/KD8s/zG/Nj85vzx/Pz9Cv0X/SL9K/02/UP9UP1b/Wb9cv1//Yz9mf2o/bb9wv3M/dL91v3Y/dn93f3l/ez97v3s/ez98v36/f/+Av4H/g/+Gf4i/ij+LP4s/iv+Kv4p/in+KP4p/i3+NP48/kL+R/5O/lb+Yf5s/nf+f/6I/pH+mv6i/qb+qv60/sL+z/7U/tH+0P7W/uP+7/7z/vb+/f8K/xb/G/8e/yr/P/9V/2D/Y/9r/33/kP+Z/5f/k/+U/5r/o/+v/73/xf/E/8D/w//P/9j/2v/c/+f/9v/+//8ABgAbADEAOQA1ADcASQBhAHMAfgCKAJgApQCtALAAswC5AMIAzADSANQA1QDeAPIBBgEOAQ4BEgEgATABNQEyATkBUwF6AZsBrQG1AbwBxwHYAegB7gHpAeoCDAJaArwDAwMSAvkC5ALzAx4DQwNNA0IDOAM+A1gDfwOqA9MD+wQmBFUEfwSbBKwEwQTnBRsFVQWSBdMGFQZOBngGmwa/Bt4G8Ab9BxcHQwdtB3sHWgb7BlUFigUSBYoHLwmKC7MNDA2mDgMOeQ75D1APfA+oD+4QQhCJELkQ1BDJEIUQCw9wDsUOAg0jDD8LgAsCCr0Klgp6CmEKSgozCh8KEQoGCfUJ1AmkCW8JOQkCCMwImghwCEkIGwfiB6kHdwdPByYG8AatBmIGEAW1BU0E4gSEBDYD6wOTAysCwgJoAiAB6AHAAagBmgGGAWQBNgEOAP0BCwEwAVcBcAF2AXUBeQGCAYsBkgGXAYsBVADoAGL/8/+4/6f/o/+b/43/dv9J/wX+uP54/kr+G/3R/WT84Pxg+/37v/uf+4z7f/t8+4f7mfun+6n7pPuY+4P7ZvtR+1P7cvud+777yfvH+8z74vwI/C/8Tfxi/HT8iPyc/K78w/ze/QD9Hv01/UX9T/1Y/WL9bv1//ZH9ov2y/cP90/3d/eH95P3p/e397f3v/fn+Cv4d/iv+Nf4+/kf+Uf5f/nH+hf6Z/q3+xf7e/vT/B/8c/zf/Vv91/5L/sP/P/+0ACAAiAD0AWABvAIUAnAC1AM8A6QEEAR8BOgFQAWYBfAGUAa4BygHnAgQCIAI7AlgCdwKVArECzALrAwsDKANEA2EDgQOjA8ED2wP2BBUEOARaBHgEkwSqBMEE1ATfBOIE4wTrBPkFBgUOBRMFGwUnBTIFOwVCBUkFTgVSBVYFXQVkBWkFbQV2BYQFkwWiBbEFwgXTBeUF+AYNBiQGOAZKBl4GdAaIBpkGqga+BtUG6Ab4BwkHHQcyB0YHWQduB4YHnwe2B9IH6Af9CBQILwhMCGoIhwikCLwIzAjXCOgJBwkxCVoJfQmeCcUJ7wocClgKqgr6CxgK4QprCfYJswmdCZIJggl5CYIJlAmcCZQJiwmICYcJfglyCW4JdgmBCYoJmgnECgMKPgpiCn4KtwsYC4ILyQvkC/QMHgxgDJsMvgzYDQMNQQ15DYwNaQ0RDJUMEQumC2ULRQspCwIK3QrQCuELAgsZCxYLAArkCsoKsQqPCmIKNgobChMKFAoRCggJ+gnpCdYJxwnHCdgJ7Qn0CeUJxAmWCWoJUQlVCWgJawlQCSoJGAkZCREI+AjwCSAJdQmlCXII3AgWB1EGqAY4BiAGWwapBroGawXiBV4FAgTKBKsEoASkBKcElwRwBDoD/APCA5wDkgOXA4gDTwL2AqICbgJYAkoCNgIYAfQBygGgAX8BbAFjAV8BXgFlAXQBhgGPAYwBgQFxAWEBUQFFAUkBcwHRAlICyAMMAyEDNANkA5wDrwOHA0EC/wLAAmsB/AGSAU0BLAEVAPkA3wDQAMYAuACkAJIAiACBAH4AgACIAI8AjgCLAIgAhQB8AHIAcgCCAJgAqACuALIAuQC9AL4AvgDAAMEAvQC2AK8AqACdAIwAfQB4AH0AgwCBAHoAeAB+AIIAfQBsAFoAUgBVAFoAXABcAGIAbwB7AHwAcwBnAF8AWQBRAEMAMwAnACAAGgAO//n/3//J/8D/v/++/7b/rf+j/5T/dP9H/xz/AP7v/tj+tf6L/mL+O/4R/eX9vP2Y/XL9Rv0U/OP8svyC/FP8JPv5+8/7o/t1+0H7B/rF+oP6SfoZ+ev5uvmG+Vb5Kfj4+L74gPhD+A734/fC96j3jvds9z73Dfbd9rH2hvZa9jH2DfXs9c71rvWN9Wr1Q/Ub9PD0vfSD9Er0H/QG8/Tz3vPI877zzPPt9A/0H/QO89jzhfMk8sXydfI18gXx3/G48YfxT/Ef8QTw+fDr8M/wrPCO8HnwZvBQ8DfwH/AL7/nv6O/Y78bvsO+X74Dvb+9l71/vWu9W71PvUe9T71vvaO9374Pvi++Q75nvtO/n8CrwaPCL8I3wdvBc8E/wVPBl8HjwhvCX8LLw1fDz8P/xBPEW8T7xbfGJ8YjxdfFm8WLxaPFz8X3xgPFz8VzxUfFj8Y/xv/Hm8gryMvJY8nTyj/K88wnzaPPG9B/0hPUA9Yz2D/Z59sT29vcU9yn3PPdU93j3rff5+FP4p/jo+Rv5S/l5+Zb5lvmD+XP5c/mA+Zb5ufnx+jn6gfrC+wH7QvuE+7v75fwM/Dj8aPyP/KT8qfyn/Kf8qfyt/LX8w/zZ/Pb9F/09/Wf9jf2p/cH95f4h/m3+tv7u/xv/Tv+M/8j/8AAEABUAOgB9ANMBIgFRAVgBQQEZAO4AxwCqAJ4ApQC+AOMBEwFNAY0B0QIcAnQC2gNGA68EDwRhBKQE2AUFBTYFbwW0BgAGTgaXBtIHAQcvB2MHnQfUCAkIQgiACLoI4gj8CRsJSAl+CawJzAnjCf4KHQo8ClwKgQqzCvULPQt/C7EL2gwJDE0Mpg0MDXcN2w41DoMO0A8jD3wPzhALEDgQYhCSEL0Q2RDkEO0RAhEkEU8RfBGnEcwR5BHrEe0R8xH7EfMR1xG6EbwR1BHFEVoQqxAWD+wQGxBKEDkP/A/RD9IP7BAIECcQTxB0EIUQjBCXEKIQohCqEOwRdBIEEkASERG7EZMRrxHoEhcSOhJdEn8SkxKYEpcSlBKIEngScRJ1EnUSYxJHEj0SUhJ+EqkSxhLcEvgTKBNsE7cT7xQHFA0UHhRGFHMUhhR1FFgUURRjFHUUbRRPFDgUQBRhFIAUjBSGFH0UeBR0FG0UZBRaFE4UPRQoFBUUBhP4E+kT1hPCE6wTlhOAE2sTWRNJEzkTKBMVEwgTCxMjE0ETThNDEzcTSRN8E7YT1hPUE8UTvxPGE8YTrxN8Ey0SrhHMEFwOewyqC4cLWwvfDIcM8g0kDUgNbA15DWANNQ0KDNoMlAw8C+QLkws9CtsKfQoxCfEJqQlWCQYIxAiHCEYIBQfQB6QHcwcyBusGqQZvBjoGDQXqBdAFsAWCBUoFFQTrBMcEoQR1BEYEHgP/A+QDygOxA6ADmQOTA4QDZwNGAygDDALuAtACtgKgAoMCWgIrAgEB4AHBAZ0BdQFPAS8BEwD7AOIAywC3AKkAngCSAIEAbQBWAEAAKAAR////8v/m/9H/r/+I/2r/Xf9d/1r/SP8r/wv+7f7L/qL+hf6J/qf+uP6c/mD+NP42/lD+Vf43/g398/3m/dL9sP2L/W79Vf05/Rv9BPzz/OD8xvyp/I/8efxj/E38N/wi/Az79vvi+9H7v/uq+5f7jPuH+4L7ePtr+177UvtH+zv7L/sm+yH7H/sc+xX7DPsG+wf7DPsQ+xL7EfsN+wf7AvsA+wL7A/sD+wH7APsC+wX7Dfsc+y77QPtP+1/7dfuK+5f7nPuh+6v7uPvC+8T7xfvJ+8/71PvY+9z74/vs+/b8AfwN/Bn8Jvw0/ET8Uvxf/Gr8d/yG/JT8o/y1/Mf81/zk/PL9Af0Q/Rv9Iv0o/TL9P/1M/Vb9X/1r/Xn9if2Y/ab9s/2//cn9zf3K/cf9yv3S/dr93f3f/eP96v3v/fL99P36/gL+C/4S/hj+H/4k/ib+Jf4k/iP+I/4l/ir+L/40/jn+Pf5E/k7+Wv5n/nL+fP6D/or+kf6Y/p7+o/6t/rr+xv7L/sn+yP7Q/t3+6P7t/vP/AP8Q/xr/G/8e/y//Tf9k/2j/YP9f/27/g/+N/4z/iP+L/5D/lv+g/6//v//G/8X/xv/Q/9//7P/3AAEACAAGAAEABgAZADAAPAA9AD4ARgBUAGAAbQB+AJEAogCtALIAswCzALkAxQDUANsA2ADWAN4A7wD9AQcBGAE4AVsBawFmAV8BbQGPAbIByQHVAeQB+wIWAiwCOAI+AkcCYAKOAsEC4wLlAtYC0wLuAxoDOwNDAzwDNwNAA1YDdQOgA9EEAwQvBFcEfQSgBL4E2AT4BSMFWwWdBd8GFwY/BlkGcAaMBqgGvgbTBvYHKQdeB3wHZQb9Bj8FaQUGBacHYgmlC5sM0A1yDfcOmA8wD4gPpw/HEA8QchDHEOwQ1RCFEAsPgA71DmgNxw0MDEULkQsKCrkKlAqFCnIKUgouChgKEQoJCfAJxAmSCWEJLQj0CL4IlAh0CFEIIgfnB6sHdAdFBxgG6Qa0BnQGKAXNBWYE/wSjBFMEBAOqA0MC2wJ+AjEB9AHIAa0BnQGLAW8BSwEuAScBPQFqAZoBuAG9AbIBoQGRAYQBhQGXAaEBeQEIAHH/9//E/8z/2//N/5//W/8N/rv+cv45/gn9y/1v/Pb8dfwH+8D7oPuX+5b7mPug+7D7wPvI+8X7uvun+437cPtf+2j7hvuo+7v7uvux+7D7wvvl/A78MfxO/Gf8fvyU/Kf8vvze/QT9KP1D/Vf9Z/12/YL9j/2f/bP9xv3a/ez9+/4F/gn+DP4P/hH+Ev4V/h3+K/45/kX+T/5a/mb+cv6A/pP+qf7B/tn+8/8O/yb/O/9Q/2j/hf+k/8T/5gAGACMAOgBQAGkAhACdALEAxQDbAPIBCwEmAUEBWwFxAYYBmwGzAc4B6wILAikCRAJfAnwCmwK4AtIC6gMGAyYDQwNdA3cDlgO4A9gD8gQLBCcESQRrBIoEpQS+BNYE6QTxBPEE8gT8BQoFFAUYBRwFJgU0BT8FRwVOBVUFWgVdBWIFawV0BXsFgQWLBZsFqwW4BcUF1QXoBfwGDwYiBjUGRgZXBmwGgwaXBqcGtgbLBuIG9gcEBxEHIwc3B0gHVwdpB4IHnwe6B9UH6wgECB4IOAhQCGgIhAiiCL0I0gjjCPwJIwlRCXsJoAnGCfQKIQpJCnoKwQsNCyoK7ApkCdgJiQl9CY0JlQmUCZoJqAmuCaUJlgmOCY4JjgmJCYYJiQmSCZwJrwnWCg4KQwpoCooKyAspC48L0gvpC/gMIwxpDKsM0QzoDQoNPw11DYwNcQ0gDKgMJgu7C3gLVQs2Cw8K7ArkCvwLIQs2CzELHAsFCvEK1wqvCn0KUQo8Cj8KSApECjAKFAn7CesJ6AnzCgcKGQogChgKCAnyCdkJxwnGCc4JzAm3CZwJlAmhCa4JswnFCfgKMwo4Cd4JNwh2B8YHNQbSBrIG1gcQBxoG0QZLBb0FTQUGBOIE2ATbBNUEuwSPBFgEHgPmA8EDvgPRA9QDpQNHAt4CjwJmAlQCRwIxAg4B4QG0AZMBggF9AX4BgwGOAaABswG/Ab8BsgGeAYwBhAGJAZcBtAHqAj0CmwLpAyADTAN6A5wDlwNnAyQC6AKxAm0CGAHIAY8BawFMAS0BFQEGAPkA5QDNALsAsACoAKIAoQClAKsArACqAKUAnwCXAJIAmwCwAMUA0ADSANQA2wDjAOYA5QDkAOQA4gDgANwA1QDJALwAtACzALYAswCoAJ0AmgCeAKAAlwCHAHsAfQCIAI0AhwCAAIgAoAC3AL0AtACpAKIAmQCHAG8AXwBaAFoAUwBCACwAGQAPABAAFwAeAB0AEv/8/9n/qv96/1f/Q/80/xr+9f7N/qf+gv5Z/i/+B/3i/br9i/1a/Sz9APzR/KH8dPxL/CH78fu7+4P7R/sH+sf6j/pf+jP6BfnU+aX5dPk/+QH4wviJ+Fr4Nvga+AH34fe494b3Uvci9vT2x/ac9nj2WvY99hz1+fXU9bD1ivVh9TL0+/TB9I/0a/RT9Dr0HvQH9Ab0HfQ/9Ff0VvQ28/rzqvNQ8vnyq/Jq8jryFvHy8cTxi/FW8TTxIfEQ8PXw1fC48KLwj/B48F/wSPA08CLwEu//7+vv1e+976XvkO+B73rveO9373Tvce9z73/vke+h76zvr++y77/v5PAm8HXwtfDO8L3wlfBu8FvwXfBt8IDwjvCb8LDw0fD18Q7xGPEf8TDxTfFq8X7xh/GI8YXxg/GG8YvxivF48VzxSPFL8WDxe/GX8b/x8/Io8k7ybPKZ8uLzPvOZ8+70T/TJ9VX12/ZG9pD2wvbn9wf3I/c791j3ivfY+DX4iPjB+Ov5GflO+Xr5i/mH+YD5gPmH+ZP5r/nk+i76fPrC+wH7PPtw+5T7qvvA++D8B/wn/Db8N/wz/DD8M/xB/F38hfyw/NX89P0T/TX9Uv1h/Wj9fv2z/gf+Z/7D/xn/bf+7//UAFQAiADUAYgCwAQ0BWwGCAXwBVgEeANwAmwBoAFEAWQB1AJwAygEEAU0BowIBAmcC0AMxA4MDxQP9BDEEZwSfBNwFGgVZBZcF2QYcBloGkAbGBwMHRQeEB7gH6AgaCEsIcgiQCLMI5QkeCU4Jagl9CZQJtwnjChMKRgp+CroK9wstC10LiwvCDAkMYQzFDSsNig3eDiwOfQ7XDzAPdw+iD7wP2A/+ECQQPhBMEFwQexCrEOQRHxFbEY8RsBG4EbMRthHGEcsRtBGSEY0RqBGoEUUQhQ/ND4EPpA/eD+QPvg+iD6kPwA/QD+AP/hAiEDcQPhBFEFAQVRBeEI0Q6xFREYIRdBFWEVwRiBG5EdoR+RIfEkMSVRJaEl4SZBJhElISRhJGEkkSPhIoEhkSIxJCEmYShhKjEswTChNXE54TyBPTE9QT5hQPFDoUTxRHFDQULhQ4FEgUShQ7FCoUKRQ9FFkUaRRpFGEUXBRZFFMUSBQ7FC0UHRQIE/IT4hPZE88TwROtE5cTgRNpE1ATOBMmExoTDRL7Eu4S9BMSEzUTQhM3Ey0TQxN5E68TxRO5E6UTnhOkE6MThhNGEtwSNBEnD6IN1gxEC3YLkwxADOYNMQ06DUQNYw12DWANLAz3DMgMjQw+C+ULjgs3CtsKgAoxCe0JpwlaCQwIwgh+CD0IAwfUB6gHcwc0BvEGswZ6BkMGEQXrBcwFqQV8BUcFFwTtBMcEngRxBEQEGwP5A9oDuwOfA4wDggN7A20DVAM3AxwDAgLkAsICpAKLAnACTgIjAfcBzwGsAYkBZQFEASUBCQDsAM8AtAChAJUAjACAAG4AWQBEADAAGgAD//D/4//Z/8r/r/+L/2z/YP9m/23/Y/9C/xv+/f7i/sH+nP6J/o3+kP52/kj+NP5V/o/+pf5//jz+CP3y/eL9xv2k/Yb9b/1U/Tb9Gv0H/Pb84fzG/Kn8jfxy/Fj8Qfwr/BT7/fvo+9f7xfuy+577kPuH+377cvtk+1b7S/tE+zz7Mvsl+xf7DPsE+v76+fr3+vv7AvsH+wf7BPsB+v/6/vr++v/7APsA+wD7APsA+wL7CPsT+x/7J/st+zn7Tvtm+3f7gvuM+5v7q/u1+7f7uvvB+8j7zfvQ+9b74Pvt+/n8BPwN/Bb8Ifwu/Dv8SfxX/GT8cfx9/If8kvyh/LP8xfzT/OH88f0C/Q79FP0Y/SD9Lf05/UL9Sv1U/WX9d/2H/ZT9of2w/bz9v/26/bX9uf3D/cz90f3T/dj93v3i/eP95f3t/ff+AP4F/gv+Ev4Y/hr+Gv4c/h/+Iv4l/ij+LP4v/jH+NP45/kL+TP5Z/mb+cv56/oD+hv6O/pb+n/6o/rP+vv7G/sn+zv7Y/uP+6v7v/vj/C/8g/yj/JP8i/zL/T/9k/2H/UP9I/1L/Y/9s/2z/bv93/4H/h/+N/5v/rv+8/8L/xf/P/+D/8gABAAwADwALAAUABwAWACoAOQBAAEQASQBQAFcAYQBuAHwAiACSAJsAnwCfAKEArQC/AM4A0ADOANMA4gDyAQABGAFCAXIBjwGQAYUBhwGdAboB0QHjAfkCFAIwAkcCXQJ0AosCngKoAqsCqQKlAqkCvgLjAw4DLwNGA1YDYwNrA24DewOeA9UEDwQ5BFYEdgSiBNIE+gUaBT0FbQWmBdwGBQYfBjQGTgZuBo8GrgbNBu8HFAc9B14HVwb4BjUFWwUNBdYHrQnnC7cMyQ1gDe8OoA9JD7YP6BALEEYQlxDcEOwQsRA3D6YPHw6nDiUNhgzRDCILjQsaCsoKmgp9Cl4KNQoRCgUKCgoGCeYJtAmBCVUJJgjwCL4Ilwh4CFIIIAfoB68HdAc4Bv8G0QaoBngGNwXhBX8FGgS7BGUEEgO7A10C/AKfAkwCCQHcAcABrwGcAYUBbQFeAWIBfAGnAdMB7QHsAdYBuAGZAYIBgAGSAZsBbQD0AFj/5P/E/+D/+f/h/5X/L/7K/nX+Mv3+/cb9d/0L/I/8HvvP+6j7o/ut+7f7v/vI+9X74vvn++P71vvA+6P7h/t5+4P7nPuy+7r7svum+6T7s/vU+/38I/xE/GD8fPyW/K78yvzt/Rb9PP1a/XH9hv2Y/af9tP3E/dn97f4A/hD+Hv4p/jD+M/4z/jT+N/49/kj+Vf5f/mb+b/58/oz+mv6p/rz+1f7v/wj/If86/1H/Zv95/5D/q//J/+oADAAsAEcAXQBzAIsApgC/ANUA6AD+ARUBLgFIAWMBfAGTAagBvwHWAfACDAIsAkoCZgKAApsCugLXAvADCAMjA0MDYQN7A5MDrwPPA+4ECQQgBDwEXQSABJ4EtgTOBOYE+QUBBQAFAgUMBRoFIwUoBS0FOAVEBU0FUQVVBVwFYgVmBWsFdQWABYoFkwWgBbEFwgXOBdoF6gX9Bg8GHwYvBkAGUQZiBncGjQahBrEGwQbYBvIHBwcTBx8HMAdFB1YHYgdwB4YHoQe9B9oH8wgPCCoIQghWCGsIhQijCMII3Qj6CR4JSgl1CZkJuwnnCiAKWQqBCqMK1AsRCy8K/Ap3CeEJgglxCYsJowmpCasJswm3Ca4JnAmSCZUJnAmeCZoJmgmfCasJwQnmChgKSgpyCp4K4wtEC6YL4gv1C/0MIAxgDKEMyAzcDPUNIw1YDXgNaQ0iDLEMNgvUC5gLdgtVCzALFAsVCzALTgtYC0sLNgslCxkLAQrVCpsKawpZCmMKcQpsCk4KJwoKCgIKDAofCjQKQApDCkIKQgpACjcKKAocChsKHQoXCgoKAwoLCh8KPwpvCqoKzAqpCjIJiAjbCEkH0Ad0B0YHTQdtB20HKgaqBhcFmQVIBSIFGQUWBQME3wSxBH4ERgQPA+wD7wQNBBcD5gN8AwACoAJsAlcCTQI8Ah0B9AHKAasBngGfAagBtQHEAdQB5AHwAfQB6wHWAcEBuwHLAeMB+AIOAjYCeALNAx8DYQOKA5IDdAM8AwAC0QKtAoICSwIQAdwBsAGJAWcBTwE+ASoBEQD4AOcA3QDUAMoAwwDCAMMAxADCAL8AvAC5AL0AyQDbAOoA8QD1APwBBgEOAREBEAENAQsBCgEKAQYA/QDxAOgA5gDoAOUA2wDNAMEAvQC+ALwAtQCpAKUArQC7AMAAuACyAMAA4AD8AQIA+ADvAOoA3QDBAKUAmQCdAKAAlAB/AHMAdgB/AIMAfQBwAFwAQQAc/+//wf+d/4n/gP9y/1f/Mf8L/un+xf6d/nT+T/4q/gD9z/2g/XX9S/0c/Oz8wPyY/G/8PPwB+8X7ivtQ+xb63/qu+oD6Uvoi+fD5vPmE+Uf5Dfjb+LL4kvh2+Fj4MvgC9833mfdn9zf3Cfbg9sD2pfaI9mP2O/YU9fD1y/Wg9W71NvUB9Nf0ufSe9H70XfRL9FL0bPSI9JL0hPRa9Brzy/N28yfy4PKl8nbyUfIs8f3xwvGJ8V/xRvE08Rzw//Dk8M3wufCj8IvwcvBb8EjwNfAi8A7v++/n78/vte+g75fvme+e75zvlu+V76Dvsu/D78zv0O/U7+TwCfBH8I3wwfDO8LbwjvBv8GPwZvB08IbwmPCn8Lnw0vDz8RLxJfEt8TDxOPFI8WHxevGL8ZDxjPGK8YzxivF98WbxUfFH8UfxTPFa8Xzxs/Ht8hryPfJs8rLzCvNh87X0FPSJ9RH1k/X99kj2gPax9t33Avcc9zr3bve/+Br4ZfiV+Lv47fkr+WH5ffmD+YP5gvl9+Xf5gfmq+fH6RvqY+uH7IftU+3T7hfuR+6H7t/vJ+9X72/vc+9v72vvo/A38SPyE/LH8zvzn/QT9H/0s/Sv9MP1R/ZX98/5i/tb/Rf+h/93//wAXADsAewDWATgBggGgAZMBaQEwAO4AqwB4AGYAdQCVALgA3gETAV0BtwIYAnkC1AMeA1MDeAOaA8MD+gQ7BIMEyQUEBTgFbAWnBeUGIQZdBqEG7Qc2B3AHmwfAB+UICQgrCFEIgwi5COcJBQkaCTUJXwmXCdYKEwpJCnkKpQrVCwwLTAuRC90MLgyEDNsNLw2ADdQOMA6ODt8PFA8tDzkPSw9pD4sPpg+6D9MP+xA0EHcQvxEHEUgRdBGCEX4RgRGVEaQRlRF1EWoRghGCER8QVw+NDy4PSA+FD5QPeA9lD3UPkA+bD58PtA/ZD/YP/Q/6D/oP/hALEC8QbBCvENgQ6RD9ESkRXhGEEZ0RuhHhEgMSExIcEioSPBI/Ei8SGxITEhASBhHzEegR8hISEjYSVBJuEpgS3RM0E38TpROpE6cTuhPgFAQUFhQYFBUUFBQYFB0UIBQcFBIUEBQfFDkUTBRLFEAUNxQ1FDAUJBQUFAgT/RPtE9gTyBO+E7YTpxOQE3kTZhNREzUTGBMDEvoS9BLoEtoS3hL8EyQTOBMxEyoTQRN4E6wTvBOlE4gTfhOFE4ETWRMGEoERtxCIDuwNJQu4CykLiwxsDScNZw1RDT0NUA1lDVINGQzfDLUMiQxDC+ULgwspCtUKgwozCeoJowlZCQsIuQhqCCcH9QfOB6YHcwc3BvkGwAaIBlAGGwXvBckFowV4BUwFIQT5BM4EoQRzBEUEGgPyA9ADsgOYA4MDdANnA1UDPwMnAxEC+QLbArYCkgJ2Al0CPgIWAesBwQGcAXgBVQE2ARoA/gDfAMAApACRAIYAfABuAFoARQAyAB8AC//1/+H/0f/E/7f/pP+J/23/Xf9e/2f/Yf9F/yH/Cf77/ub+w/6g/o/+g/5m/j7+Nf5m/rT+3/7A/nT+M/4V/gb97P3H/ab9jv14/Vv9PP0j/RH8//zn/Mn8qPyJ/Gz8U/w6/CH8Cfv0++H7z/u8+6j7l/uL+4H7dvto+1j7SvtB+zv7M/sl+xT7A/r2+u365frh+uP66vry+vb69vr2+vf6+Pr3+vb69vr3+vv6/fr/+wH7CPsR+xn7HPsd+yX7NvtK+1v7Z/t0+4b7lvuh+6b7q/uz+7v7wPvD+8v72Pvm+/T7//wI/BH8Gfwj/C/8PvxO/F38avx0/Hr8gvyO/J/8sPy+/Mv82fzp/Pb8/v0D/Qz9GP0j/Sz9M/0+/VD9ZP1z/X39if2Z/ab9qv2l/aL9qf23/cP9xv3H/cr90P3U/dX92f3h/ez99P36/gH+CP4N/g/+D/4T/hj+HP4d/h/+JP4p/i3+L/4y/jj+QP5K/lf+Zf5z/nz+g/6M/pX+n/6o/rH+uf7C/sz+2f7n/vH+8/70/v//Fv8s/zP/K/8k/y//Rv9X/1P/Q/86/0H/T/9V/1b/W/9q/3n/gf+F/47/nv+v/7j/vf/E/9D/3v/q//T/+v/9//4AAgANAB4ALwA8AEYATQBVAF4AaABvAHIAdAB7AIcAkgCVAJUAnACrALwAxgDMANgA6gD5AQQBFAE1AV8BfwGIAYMBggGMAZ4BrgHAAdYB7gIBAg8CIwJDAmgCgQKFAn0CeAKDAp4CwALkAwgDMANgA5IDswO1A6ADkgOoA+AEHQREBFcEcQSiBOEFFwU7BVoFgAWtBdUF8gYLBioGUgZ8BqYG0Ab1Bw4HGQckBzkHOAbhBhwFQgUIBfUH5QoZC80Myg1iDfsOsw9kD+IQKhBWEIIQuRDqEO4QqRAlD5MPGg6sDhwNXAyPC+kLdwsjCtcKlAphCjkKFAn6CfUJ/An2CdQJoQlxCUkJIAjyCMcIogh8CEwIGAfnB7UHdwctBuYGsgaRBm8GOwXwBZYFNATSBHYEIQPPA3oDHgLAAmoCKAH/AegB1gHDAbABoQGeAagBwQHlAgcCFwIMAesBwwGeAYUBgQGMAYYBSADJADj/2v/Q//UACP/d/3z/Cv6g/kr+A/3B/XX9GPys/EH77Pu7+6/7vPvP+9z74Pvk++37+PwA/AD79fvh+8b7rfuh+6X7s/vA+8P7vvu3+7b7wvvf/Ab8K/xJ/GT8gfyf/L383Pz//Sf9T/1y/Y79pv27/cv92f3p/fz+Dv4d/iv+O/5M/lj+Xf5c/lr+Xf5n/nX+gv6K/o/+mP6n/rj+yf7Z/u3/Bf8d/zL/Rv9a/2//hf+b/7P/zv/sAAoAKQBHAGIAegCSAKoAwwDaAPEBBwEfATkBUwFsAYYBngG2Ac0B5AH8AhQCLQJKAmgChAKeArkC1gLzAw0DJQNAA18DfgOZA7EDygPnBAQEHgQ3BFUEeASbBLcEzQTiBPcFCQUQBQ4FDgUXBSYFMgU4BT8FSAVSBVcFWQVdBWQFawVwBXUFfgWKBZcFowWyBcIF0QXfBe0F/wYQBiAGLgY+BlAGYgZzBoUGmgatBr4G0AbnBwAHEwcfBysHPgdVB2gHdAd/B5IHqgfCB+cIAwggCDwIUghmCHsIkwiuCMoI6gkPCTwJbAmVCbQJ0Qn8CjkKdgqcCqoKuQrYCu0KywpkCeUJjgl/CZwJuQnBCb8Jvwm/CbUJowmZCZ0JqAmuCa0JqwmwCbsJ0Qn0CiMKVQqCCrQK+wtbC7wL+wwODBAMIwxRDIcMrQzDDN0NDA1JDXMNaw0jDK4MNgvfC7ILmguBC2ULVwtiC3sLiwuFC20LVQtHCzoLIQryCrcKhwp4CoYKlwqPCmoKPQokCikKRAphCnUKfAp7CnwKgwqLCogKeQppCmYKcgp8CnoKbAplCnIKnQrcCxcLKArxCnYJ2wlHCMoIXAf/B8QHtgfDB7sHewb+BmcF4QWKBWUFXAVRBTQFCQTcBK8EeQRCBCIELQRPBFIEDwOPAwUCoAJtAlkCTgI+AiYCBQHjAckBwQHHAdgB7QIAAg8CGgIkAi0CKwIaAgMB+gIIAiACLQIsAjcCZwK8AxsDZAOGA4EDXQMqAvsC2wLFAqwChgJSAhsB6QHBAaQBjAF1AVoBPwEoARgBDAD/APIA6ADkAOMA4ADdANsA2wDhAOsA9wECAQkBEAEbASoBNwFAAUUBRgFEAUEBPwE9ATgBLAEdARMBDwEOAQcA+wDvAOgA5ADiAOAA2wDWANQA2wDoAPEA9AD5AQ0BLQFFAUgBPwE4ATQBJQEIAO4A5gDsAOoA2ADKANMA8AEEAPoA0gCgAHEASgAlAAP/5P/P/8P/uf+o/4v/af9H/yf/BP7e/rj+lv5z/kj+GP3o/b79lP1l/TP9B/zh/Lf8g/xH/Av71Pug+2v7NvsC+tD6nvpt+jn6A/nL+ZP5YPk1+RH48fjR+Kv4ffhH+A/32/er93z3Ufcs9w327vbL9qL2d/ZQ9iz2BvXb9aj1c/VE9SD1BfTm9ML0ovSU9Jz0sPS/9L/0rvSH9Efz8/Ob80/zEfLf8rTyjfJk8jLx9vG78Y7xdPFh8UvxLvER8Pvw6fDX8L7wo/CI8HHwXfBJ8DbwJPAR7/nv3e/D77nvv+/J78vvw+++78Tv0u/g7+nv8O/48AjwJPBO8Hrwl/Cc8I3wfPB08HXwePB+8IrwnvC18Mrw3vD18Q7xJfEz8TfxNvE58UbxWfFs8XbxevF+8YbxivGD8XHxXfFN8T/xM/Ey8UfxcfGk8dLx/fIy8nzy0vMo83vz1/RG9MT1P/Wl9fP2NfZ09q723Pb99yP3Xvew+AL4QPhr+Jf41PkY+Uz5ZPlq+Wv5aflc+Uj5QPlY+ZP54/o3+ob6zfsJ+zb7Vfto+3X7fPuC+4z7nPuq+637qPus+8z8CPxK/Hv8l/yt/Mf84fzv/PD87vz9/Sr9d/3i/lv+zf8k/1z/gf+o/+MANwCeAQYBVQF7AXkBXQE1AQcA2gC7ALkA0wD2ARMBLwFZAZYB3wIrAnMCswLoAw0DKQNGA2wDngPdBCUEbwSvBOIFEgVJBYcFxAYABkMGkAbfBx4HRgdiB4AHpAfPB/0IMAhiCI4IrwjKCOkJFwlVCZwJ3QoQCjUKWAqJCssLGQtoC7QL/gxGDI0M1A0iDX0N4Q4+DoIOpg60Dr4Ozw7pDwcPIw89D1wPiA/EEA4QXRCsEPMRJxFBEUkRVRFvEYQRexFaEUgRUBFDENkQEQ9LDvAPDQ9ND10PPw8qDzwPWA9eD1YPYg+JD7APuw+wD6YPsQ/UEAYQOhBiEHoQkRC4EO0RHRE+EVkRfRGnEcUR0xHeEfMSCRIOEgAR7BHgEdURwxGsEaQRuBHjEhISLxI9ElQSkBLsE0MTchN6E3oTixOrE8gT1xPgE+oT8RPxE+8T8BPwE+wT6xP6FBUUKRQnFBkUEBQSFBIUCBP4E+wT5BPWE8ETrhOjE5gThBNoE1ATQRMyExoS+xLkEt4S3RLTEsQSwhLeEwoTJRMjExoTMBNqE6QTtBOXE3ITZRNrE2ETKxLFEi8RVhATDmEMjgsuCsQLWgxtDUgNjg1nDTkNOQ1LDToNAgzIDKIMgAxDC+MLeQsdCtAKhwo5CeoJnwlWCQcIsghfCBoH6gfGB6EHcQc5Bv8GyQaTBlsGJQXzBcUFmwVzBVAFLAUDBNYEpgR4BEsEHQPwA8oDrQOWA4ADaQNTAz0DKQMXAwUC7wLPAqkChAJmAkoCKwIFAdwBtgGRAWwBSAEnAQsA8QDVALUAlwCBAHMAaABYAEUAMgAfAA3/+//p/9j/xv+0/6T/mP+J/3T/YP9W/1X/Tv82/xj/B/8F/v/+5/7G/q/+nf58/k3+Of5i/rX+8f7l/qH+Xv49/jL+Hv35/dL9t/2g/YP9YP1C/S79Hv0I/Ov8yvyp/Iv8bfxP/DL8GPwC++772/vG+7L7oPuS+4j7f/tz+2L7UPtA+zX7Lfsi+xP7A/r1+un63vrV+tL61vre+uP65/rp+ur66/rp+uf66fru+vT6+Pr7+v77BPsN+xb7HPsh+yr7NvtD+037Vvtj+3P7g/uO+5X7nPuk+6r7r/u1+7/7zPvY++P77fv4/AL8CvwT/B/8MPxD/FT8Y/xs/HH8dfx+/I38nfyr/Lb8wfzP/Nz85vzv/Pn9BP0P/Rf9Hv0p/Tv9TP1Z/WH9a/15/Yj9jv2M/Yz9lv2n/bX9uf24/bn9v/3F/cj9zf3V/d795v3t/fb9//4G/gn+DP4P/hH+EP4M/g3+FP4d/iT+Kf4u/jX+O/5B/kv+Wv5t/nz+h/6P/pf+oP6p/q/+tP67/sf+2f7q/vP+8v7w/vr/EP8l/yv/I/8c/yL/Nf9D/0T/O/84/0D/S/9Q/1H/WP9n/3f/gP+C/4f/k/+i/6z/sP+0/7r/wf/J/9P/3//r//X//AAGABYAKQA7AEgAUgBcAGkAdAB4AHQAcAB1AIUAlQCdAJ8AogCsALkAxgDUAOcA+wELAREBFwElATsBUgFgAWYBbAFzAXoBgQGOAaMBtwHCAcYB0QHuAhcCPQJSAl4CcAKPArYC1wLvAwgDMwN2A8AD8QPyA88DsAO5A+wEKQRQBGEEeASpBOoFIwVIBWQFhQWrBc4F6wYNBj0GcwalBtEG/QcmBzkHMQckByYHGQa2BeIFCQTrBgIICgozC88MxQ1xDiQO4g+GD/0QTBCDEK4Q2REAEQQQwRBCD7wPVw71DlUNaQxvC7gLUwsRCsYKcwo1ChEJ+wnqCeIJ4AnWCbkJjwllCT8JGgjzCM0IpQh2CD0ICQffB7QHdgclBtcGogaDBmYGOgX6BasFUQTxBJIEPAPqA5UDNwLZAocCTQIrAhYCAgHtAdwB1gHbAeoCAgIhAjsCQwIvAgcB2AGvAZQBiQGFAWsBHgCiACf/6P/yABcAFv/V/2j+9v6U/jz94v2E/ST8xfxt/B/75fvF+8P71fvr+/b79vv1+/z8CvwW/Bn8EfwB++z72vvN+8j7yfvO+9T72vvc+9/76fwB/CL8QfxZ/G/8i/ys/Mv86P0H/S39WP1//Z79t/3N/eH98/4G/hn+K/47/kv+X/50/oP+if6I/ob+iv6U/qH+rf62/r7+yP7X/un++/8O/yL/N/9J/1j/Z/94/47/p//B/9z/+QAVADAASwBnAIIAngC4ANEA5wD8ARIBKgFEAV4BdwGPAagBwQHZAfECCgIiAjkCUAJpAoUCoQK9AtcC8gMOAykDQgNcA3cDlAOuA8YD3wP6BBUEMARLBGoEjwS1BNME6QT8BQ8FHgUkBR8FGwUgBS4FOwVDBUgFTwVXBV0FYgVoBXEFeQV/BYUFjgWaBacFswXBBc4F2wXpBfoGCwYcBisGOgZOBmIGcwaBBpIGpga8Bs4G4Ab1BwoHGgclBzMHSAdgB3QHgQeOB6AHtgfOB/cIFQgzCE0IYwh4CI8IpQi6CNAI7wkZCU0JhQm2CdoJ9AoSCjwKaAqACnoKaApgCmAKSgoPCcQJlAmWCbcJ1AnbCdYJ0QnLCb4JrgmmCasJtgm9Cb4JwAnFCc8J4QoCCjIKZgqVCsQLBwtlC8oMEwwvDC0MLwxIDHAMlgy1DNoNEg1WDYUNeQ0jDKAMJgvcC8QLwAu5C68Lrwu9C8kLwwuqC40LdwtnC1ULNgsJCtQKrAqgCq4KvQqyCooKXwpRCmgKkgq3CskKzArJCsoK0ArWCtMKxQq5CrsKzgrhCuEKzwq7Cr0K3wsVC0ILRwsUCrAKNQm4CUAIzAhoCCgIFAgZCAoHxgdIBq4GIwXKBaQFmgWKBWYFOgUSBOoEuASDBGgEeASVBIcEKQOUAwQCpQJ4AmUCVQJDAi8CGgIDAfEB7QH5Ag8CKQI+AkwCVQJeAmkCbAJfAkYCNgI4AkICQQI2AjwCawLCAyADYwN/A3wDZgNHAyYDDQL8AuoCyQKUAlYCIAH8AeUBzwGyAZIBdgFhAVABPgEtASEBGgEXAREBCQEBAP0A/gEHARUBIQEnASwBOAFLAV8BbQF1AXwBgwGFAYMBfgF6AXQBZgFTAUIBOAEuASMBGQESAQ8BDAEJAQsBEAESARABEAEbAS4BQQFUAWoBgQGRAZIBjQGLAYkBfQFnAVUBUQFPAUABKQEkAT4BYwFqAUIA+QCxAH4AYgBRAEMAMwAgAAn/8f/X/7r/nf+A/2H/QP8d/vv+3f68/pP+ZP42/gv94P2w/X79UP0n/Pz8yPyN/FT8Ivvx+777iPtR+xz66Pq0+oD6S/oW+eT5t/mQ+W35Svkk+Pb4vviC+En4GPfu98f3o/d/91v3NPcI9tv2svaN9mj2QfYW9ef1t/WM9Wr1TPUt9Qr07PTe9N704vTl9OX04PTG9Ij0KvPF83PzO/MT8u/yyPKb8mXyJvHr8cHxqPGV8XvxWfE58SPxFvEH8PDw0fC08J3wivB38GHwTPA68CbwDu/27+rv7e/47/3v+e/07/Xv/fAG8A3wF/Aj8DLwQvBT8GHwavBs8G/wefCJ8JTwlPCP8JLwpPDA8Nvw7/D+8Q7xIPEw8TrxPPE68TnxPvFG8U/xWvFq8XrxhPGB8XTxZPFU8UHxLvEi8SbxPfFf8YbxtPHv8jryjvLj8zfzkvP89HL05vVL9aH17/Y79oH2t/bj9xX3XPeu9/P4I/hM+IX40PkW+T75SflI+Un5Sfk9+Sf5GPki+Ur5hvnM+hP6WPqa+tX7CPst+0H7R/tK+1b7bfuE+4z7g/t9+5H7w/wB/DP8Uvxn/H38k/yh/KX8pPyt/Mn9Av1Y/b7+Hf5g/oj+q/7c/yT/fv/lAFAArQDrAQYBBgD8AO0A3wDdAO4BDgEwAUUBUwFpAY0BuwHrAhsCTAJ7AqUCzgL4AyMDUAODA8QEEQRcBJsE0AUGBUEFfAW0BfAGOAaDBsIG6gcDByAHSweCB7sH8QgjCE0IcAiOCLAI3gkcCWEJoQnTCfkKIApXCqAK8As+C4gLzQwPDEsMhQzMDSYNiw3hDhYOMA4+DlEOag6EDp0Otg7SDvMPHw9bD6YP+BBJEJMQzxD3ERERKxFLEWARVxE2ER0RFRDzEHsPsg72DqgO0A8XDysPDA7yDv4PFg8WDwQPBw8vD2APdA9oD18Peg+/EBIQThBiEFwQXhB5EKYQzxDvERMRQRFsEYcRkxGgEbcRyhHNEcMRtxGtEZ0RgBFiEVgRcRGpEeYSCxIQEhMSPBKSEvMTMBM+Ez4TThNuE4sTmxOnE7YTwhPEE8ITxRPJE8kTxxPSE+kT+hP5E+0T6RPzE/sT8xPiE9QTyRO6E6QTkBOEE3gTYhNFEy0THxMTEv4S4RLMEsQSwxK4EqYSoRK6EuYTBRMFEvoTEBNQE5MTqBOJE18TURNWE0QS/xKKEfARFA/GDgEMHwrECnELJgxUDUQNlQ1tDTENIA0pDR0M7Qy0DIsMagwyC9oLdQsbCtIKjAo/CewJnAlRCQQIsghhCBwH6Ae/B5cHaQc1BwEGzQaaBmUGLQX0Bb0FjQVpBU0FLgUHBNgEqQR+BFIEIgPzA8sDrgOWA3sDXQM+AyQDEQMEAvUC3wLAApsCeAJZAjoCGAHzAc8BrAGIAWIBOgEXAPsA5QDMAKwAiQBtAFkATAA+AC4AHgAO//z/6v/b/8//v/+s/5r/kv+N/4P/b/9b/07/Qf8p/wz++v75/vn+6v7T/sP+tv6W/l/+Of5O/pz+4/7r/rb+dv5Y/lT+S/4t/gX94v3E/aL9ff1d/Uv9Pv0s/RL88fzR/LD8jvxp/Ef8KvwU/AH77PvW+8H7r/uf+5L7h/t6+2r7VftB+zL7KPsd+xD7Avr2+uv63/rU+s36zPrQ+tT61vrX+tn62frZ+tr63/rl+uz68frz+vb6+/sD+w37GPsl+zL7PPtC+0f7TvtZ+2f7c/t9+4T7jPuS+5j7nvun+7P7v/vH+8/72Pvk+/D7+vwE/BH8Ivw1/Ej8WPxj/Gn8bfxz/H/8j/yd/Kj8sfy8/Mj81Pze/On89Pz+/QX9C/0V/SP9Mf07/UH9Sf1W/WX9bv1w/XP9fv2Q/Z/9pf2l/af9rf20/bn9vv3F/c391f3d/ej99P3+/gb+C/4O/gz+BP3+/f/+B/4R/hf+Hf4n/jT+Pf5B/kX+Uf5l/nv+iP6O/pP+mv6k/qv+rf6w/rn+yf7a/uH+4P7d/uT+9v8H/w3/C/8I/w//Hf8r/zH/Mf80/zz/Rf9L/07/Vf9h/23/dv95/3//iP+V/57/pf+q/7D/t//A/8z/2//r//f//gAHABgALgBDAE8AVgBcAGYAcABzAHAAbwB3AIgAmgCnAK8AtAC7AMQAzwDeAPEBBQEWASABJQEqATABOgFHAVgBaAFyAXYBeQGDAZcBrQG7AcEByQHfAgMCKwJNAmoCiQKtAs8C5wL0AwMDJwNmA7AD6AP1A94DxAPKA/UELgRZBHIEjQS7BPQFJAVCBVkFdwWeBcUF6wYaBlUGkgbCBucHDwc3B00HRwc2By4HCgaGBZkExwTUBiEIQwpaC9YMxg2MDlwPGg+jEAEQTBCNELsQ1xDpEOAQnBAoD7sPeg82DpkNjAxiC4cLFwrYCo4KOQn9CeYJ3wnRCb8JtAmsCZsJfglZCTUJEAjqCMMIlghgCCcH9gfSB6oHbgciBtoGqAaGBmUGOAX/BboFaQUPBLMEWwQDA6UDQgLmAqACcQJSAjcCGwICAfQB9QICAhkCNgJVAmwCbgJXAi8CAgHXAbEBkwF2AUcA8AB9ABn/9QASADcAKf/X/2P+9f6X/jn9zP1Y/PL8pPxr/Dj8CPvj+9X73/vz+//7//v+/Aj8Gvwo/Cr8H/wQ/AH78/vj+9P7x/vH+9f77/wD/A78GPwq/EP8Wvxs/H78mvy8/Nv88/0N/TL9Xf2F/aP9u/3T/ez+B/4h/jn+UP5k/nf+i/6d/qn+rf6u/rH+uP7C/sz+1/7i/u7++/8J/xr/Lf9B/1X/Zf9y/37/jP+h/7r/1v/zAA4AKQBDAFwAdQCPAKsAyADjAPsBEQElAToBUgFrAYIBmAGvAccB4QH5AhECKgJEAlwCcgKIAqECvQLYAvIDDAMnA0IDWwNyA4oDowO8A9YD7wQJBCUEPwRaBHkEngTFBOcFAAUUBSYFNAU4BTIFKgUrBTYFQwVMBVAFVQVdBWcFbwV4BYEFiQWRBZkFogWtBbkFxAXPBdsF5gXzBgEGEAYfBi4GQQZXBmoGeQaGBpcGrgbHBtsG7Ab8Bw0HHAcqBzsHUAdmB3gHhweXB6sHwgfbCAIIIgg+CFYIawiDCJwIsAi/CNII8wkiCVwJnQnaCggKIQopCi8KNwo6CioKCgnsCdgJxwmxCZoJmAmuCc8J5QnpCeQJ3wnXCcoJvQm6CcEJygnNCc4J0wnZCeEJ8AoRCkQKewqmCs4LCAthC8gMGgw/DD8MOAxCDGIMjAy0DOENGw1eDYoNdg0XDI4MGQvgC+AL9AwEDAwMFAwWDAUL3gu0C5gLiwt/C2oLSQsiCvsK3QrUCuAK7grjCr4KmwqZCrsK6QsJCxMLEgsSCxULGAsXCxELCQsGCw4LIAswCzELIgsQCwsLGgs1C0oLSQsnCuYKjAofCaQJJQi8CH0IbQhuCFcICQeFBukGXwYGBd8F0QW9BZoFcQVPBS0E/gTNBLYExwTcBLsESAOnAxoCxQKeAoYCawJSAkECNwIsAiQCJgI1Ak4CaAJ9AosClAKdAqcCqgKeAocCbgJcAk0CPQI0AksCkALxA0sDggOYA58DnwOTA3kDXANKAz0DIwLvAqwCcQJMAjYCHQH7AdgBvAGlAY0BdQFkAV0BWwFWAUoBOwEwASoBKgEyAUABTQFWAV8BcQGJAZ4BqAGtAbYBwQHIAcQBvQG5AbIBowGNAXYBZQFVAUcBPQE7ATsBOAE3AT8BUAFdAVwBVwFeAXkBmgG1AcgB1gHiAekB7QHuAesB4wHaAdYB1AHHAagBigGFAZsBqgGSAU0A+wDAAKgApwCqAKUAkwBzAEoAIgAC/+f/z/+0/5f/d/9X/zn/HP79/tj+rf6C/lj+Lf3+/c39nf1w/UD9C/zV/KD8b/w9/An70vub+2X7MPr7+sf6lPpl+jj6Dvnm+cD5mPlr+TX49/i5+IT4Wvg4+Bj39/fS96f3dvdD9xb28fbN9qf2f/ZW9iz2AvXY9bP1k/V09VX1OvUm9Rf1C/UI9RT1I/UY9Nn0bPP285vzZPNC8yTzAPLU8pnyVvIY8e7x2fHI8arxg/Fg8UzxQvE08Rvw+fDb8MbwtvCj8Irwc/Bk8FnwS/A58CnwJPAo8C7wMPAv8C7wL/Ay8DfwQPBM8FfwX/Bi8GHwYPBk8HPwjfCn8LTwsfCn8KXws/DO8OrxAPEN8RbxH/Er8TXxPPE88TjxM/Ew8TPxPvFP8WDxafFo8WLxWfFQ8UPxMvEj8R3xIvEy8U3xdfGs8fDyPfKO8uPzQfOs9B/0kfT49Vb1sfYK9lj2lfbL9w33Yfe19/H4Ffg8+H/40vkV+TL5Mfks+TD5M/kr+Rr5DfkR+Sb5S/l7+bP57/os+mn6pPrU+vT7BfsP+yD7O/tU+137VPtL+1f7fvu1++f8Cfwg/DT8RPxN/FD8UPxW/Gj8jvzO/R39ZP2S/av9xv31/jb+gP7S/zH/lf/uACsATwBlAHkAjAChALsA2ADuAPUA8ADuAPoBFwFEAX4BvQH9AjkCdAKuAuADCAMwA2kDuAQQBFwEmATMBQIFOAVsBaMF5AYrBmkGkQasBswG/Ac5B3kHtAfoCBYIPQhgCIUIswjuCTAJbQmgCcsJ+wo3CoAKywsUC1wLowvlDBsMTAyKDNwNNw2ADagNug3PDe8OEw4vDkMOWA51DpgOwg74DzwPiw/dEC0QcxCrENYQ+xEbESoRHBD9EOgQ3hCwECsPWg6bDk4Oeg7KDukOzg6wDrMOxg7HDrcOuQ7gDxcPMw8sDyQPSg+oEBYQXBBgED0QJRAzEFsQhRCqENURBREsEUIRTxFhEXoRihGMEYURfhF1EV8RPREaEQwRIhFbEaQR2hHpEecSABJMEq0S7xL/EvwTChMvE1QTahN3E4UTkhOXE5wTphOyE7UTsROzE74TyBPFE74TwRPPE9kT0hPCE7QTqROaE4cTdRNpE10TSRMwExkTCRL5EuMSyhK3Eq8SqBKaEocSgRKXEsAS3hLfEtoS9RM6E4ETlRNyE0cTPBNDEykS1BJWEbwQ4Q+IDa4LwgpzCjcK+QwmDRYNcw1bDSANAQz+DPcM1QykDHUMSgwUC8wLdwslCtsKkgpCCe4JmwlLCP4IsQhmCCIH6Ae1B4cHWwcuBwAG0AagBmwGMgXyBbIFfgVbBUQFKQUEBNcEqwSBBFYEJwP4A9ADsAOVA3YDUgMtAw8C+wLvAuICzgKwAo4CbAJMAiwCCwHoAcYBowF9AVIBKAEDAOoA1wDDAKQAfgBaAEEAMgAmABoADgAA/+3/2v/K/8D/tv+m/5f/kf+U/5P/hP9t/1j/Rv8t/w7+8/7m/t7+zv68/rT+sf6b/mj+OP48/nz+w/7X/rD+ef5f/mX+af5Y/jT+Dv3p/cL9mv17/Wv9Yv1S/Tj9Gfz5/Nj8s/yI/GH8Qvwt/Bn8BPvt+9j7xfuy+5/7jft8+2v7WPtG+zf7Kvsc+w36/vry+uj63vrV+s36yvrJ+sn6yfrK+sz6z/rR+tP61/rc+uD64/rm+uv68Pr1+v37Cvsb+yv7Nfs7+z/7RvtR+137Zvtu+3b7ffuD+4j7jvuY+6b7sfu5+7/7yPvV++P77/v7/Af8Fvwm/Dj8SPxW/F/8ZPxq/HX8g/yR/J38pvyv/Ln8w/zN/Nf84vzr/PL8+Pz+/Qf9E/0b/SH9KP0z/UH9Tf1S/Vf9Yv1y/YL9jP2Q/ZX9nP2j/an9rv20/b39xf3N/df94/3v/fr+A/4G/gP9/f36/gD+Cf4N/gz+Dv4a/i7+Pf5B/kD+R/5a/nD+f/6E/oX+jf6Z/qP+pv6m/qr+tv7C/sn+yP7H/s3+2f7k/uv+7/7z/vz/CP8U/xz/Iv8n/y3/M/86/0D/R/9Q/1r/Y/9r/3L/e/+F/4//mf+j/7D/vv/M/9n/6P/1//4AAgAKABsANABJAFQAVgBXAFkAXQBfAGEAZwB0AIQAlgClALMAvgDGAMwA1QDhAPEBAwEWASkBOQFAAUIBRAFOAWABdAGDAYsBkQGdAbEBygHiAfUCBgIYAjECTwJsAocCngK2As4C4wLxAv4DEwM6A28DowPEA8wDzAPZA/0EMARfBIQEqATUBQMFJgU5BUkFZgWQBb8F7gYiBl8GmQbDBuEHAgcpB0UHSwdHBz0HAwZdBV4EoQTmBmgIlgqOC+AMwg2bDoEPPw+1EAUQVRCaEK8QkRBgECkP3g+DD0UPNw8cDo8NcwwoCzEKuAqBCkUJ/QnKCbwJugmqCZMJhQmECX0JZwlECR8I+wjUCKgIdghBCBEH6gfJB6AHZwclBuoGvQaVBmgGNAX8Bb0FdAUgBMcEbQQNA6UDPwLsArUCkAJuAkYCHgICAfkCAQIWAjUCWQJ6AosChQJsAk0CLQIEAdABlgFeAR0AxABYAAP/7QATAD4AMf/e/2r++v6X/i79t/1E/O/8wPyl/ID8SPwL++T73vvr+/j7/fwC/A78IPwq/Cb8F/wF+/X75PvO+7T7ofuk+8P78/we/Df8QvxM/Fv8avx4/Iz8rPzS/PP9DP0k/Ub9b/2V/bH9yv3l/gb+KP5H/mL+ef6O/qD+rv65/sD+xP7L/tb+4f7r/vT+/v8N/xz/Kv82/0T/Vv9r/33/iv+U/6H/tf/Q/+8ADQApAEIAWgBxAIkAoQC7ANQA7gEHAR8BNgFLAWEBdwGOAaMBtwHNAeYB/wIYAi8CRwJhAnsCkQKmAr0C1wLxAwoDIgM7A1UDbgOFA5sDswPNA+gEAwQfBDsEVQRuBIgEqQTOBPEFDQUiBTMFQAVFBUEFOgU6BUQFUgVdBWIFZwVuBXgFgQWKBZEFmAWgBakFswW9BcYF0QXcBecF8wX+BgkGFAYgBi8GQgZXBmkGdwaGBpsGtAbNBt8G7gb9Bw8HIAcyB0UHWQdsB30HjgehB7cHzgfmCAgIKAhFCFwIcQiKCKIIswjCCNoJAQk3CXQJtAnyCiIKNAomCgsJ9wnuCeUJ0wm6CaUJlwmTCZkJrQnICd0J5QnlCeUJ5wniCdcJzwnTCd0J4QndCdkJ3QnkCewJ+godClIKiQqyCtMLBQtWC7YMBgwvDDUMMQw6DFgMggytDNcNBw0+DWINUQz8DIUMJQwCDBcMPgxeDHEMdwxiDCoL3wuhC4cLhwuHC3kLYQtHCy4LGwsYCyYLNwsyCxcK/Ar+CxwLPAtHC0ALOQs9C0YLSAtCCzsLOgtBC04LXAtnC20LbgtrC2cLYwthC18LWAtBCxIKyQplCewJbgkGCM0IwAi+CJsIPgevBxIGjgY8BhYGBgXxBdEFsAWTBXQFSQUbBQUFEQUaBO0EdAPVA1EDBQLeArwClAJyAmICXwJeAl4CZQJ3ApACqQK9AswC2ALhAugC6ALeAsgCqgKFAl0CPgI/AnUC2gNMA6ADygPbA+sD+gP3A9oDtgOiA50DkANmAyQC5QK6ApsCeQJPAicCBwHrAc4BswGlAaQBowGYAYQBcwFrAWgBZwFrAXYBhgGUAaIBtwHQAeIB6gHuAfcCAwIHAgEB9wHxAesB2wHCAaoBlwGHAXkBcAFwAXUBdQF2AYIBmgGuAbABqQGuAckB8AIOAh8CKwI7AkwCVQJSAkUCOwI+AkoCTgI4AgwB5AHVAdYBxQGPAUIBBQDvAPgBBgEHAPYA1QCpAHgATgAvABgAAP/l/8f/qf+M/2//Uv80/xP+7/7H/p7+dP5J/hv96/26/Yb9Uf0e/O38u/yG/E/8GPvk+7D7evtD+w763/q0+ov6Yfo2+gn52/mn+W35MPj3+Mr4qPiL+Gz4Sfgf9+33tveB91b3M/cR9uv2wfaZ9nT2TPYj9fz12/W+9aP1iPVs9U71OPU19U31bPVn9ST0rvQw89DzlPNw81TzNvMO8tPyifJD8hfyBfH68eDxuvGY8YbxfPFr8U3xKfEJ8PPw4vDO8LXwn/CU8JDwivB98GvwXfBZ8F7wZPBm8GTwYPBg8GTwafBt8G/wcfBy8HPwdvB/8JHwqfC98MXwxPDC8Mfw0/Dm8PvxDvEc8SLxJvEp8S7xM/E18TXxMfEr8SbxJ/Ev8TjxPfE98TvxOvE58TPxK/Ej8R3xGvEe8S7xS/F28avx6/I28o3y7/Nb8830P/Sq9RD1dvXZ9i/2c/ay9wP3Z/fB9/j4Efgy+HP4wvj9+RH5EfkT+R35IfkX+QX4+vj7+Qf5HvlD+XL5pvnZ+gr6PPpt+pb6tPrM+uX6//sX+yL7IPsc+yb7Rvt2+6P7xPvc++77/PwA+/379/v2+/78GPxI/Ir8x/zu/QL9Ff01/V79hv20/fb+Uv62/wz/TP+C/7T/4AABABcAJAAoAB8ADP/9AAUAMwCGAO4BVgGvAfcCNgJxAqMCyALrAyADcQPOBCEEXgSNBLsE6QUYBU0FjAXSBhEGPwZgBoMGsQbpBycHZAehB9kICgg0CF8IkQjMCQwJSAl7CakJ2goVClkKoArpCzULgQvEC/oMKAxgDKkM9Q0qDUINTw1oDZQNwQ3gDfMOBg4lDkwOdQ6iDtgPHA9uD8YQGhBgEJcQwRDdEOEQzBCwEKgQqxCFD/8PKg5iDgsOLw6CDqwOlw5vDmEObA54DnkOgw6pDt0O/g79DvMPEA9pD9kQIBAgD/MP0w/gEA8QQxBwEJwQxhDlEPYRBhEfETwRThFREUsRQhEwERIQ7RDOEMEQzxEAEUwRlRG6EcMR2hIeEnoSuhLHEr8SyhLzEx8TOhNIE1QTYRNrE3UThROXE6ETnxOaE5kTmBOSE44TlBOhE6kTpROaE5ITixOBE3ETYBNRE0ETMBMdEwwS+RLiEsoSthKoEp0SkRKAEnESbhKAEp8SuBK/EsYS7hM3E3YTfRNREyYTIxMsEwgSpBIgEYoQrg9BDU0LXAokCgYKzwvsDNMNRQ1ODSEM8QzTDMYMtQyUDGMMLAvzC7oLfAs3CusKmwpICfQJnwlKCPoIrghoCCQH5AepB3YHTQcmBv4G0walBnIGNQXuBagFcgVQBToFIQUABNkEsASGBFoELAP+A9UDsgORA3ADTAMmAwMC6wLcAtECvwKkAoMCXwI9Ah4CAAHjAcIBmgFtAT0BEADtANUAxgC2AJwAdwBRADQAIwAXAAsAAP/z/+P/zf+5/63/pv+d/5T/kv+a/5//l/+B/2n/Vf8+/yD/AP7m/tH+uv6l/p7+of6X/nL+Rv49/mX+nP6w/pb+b/5h/m7+fP51/lz+Pv4d/fb9zf2s/Zj9iv13/Vn9Of0c/P382Pyr/H/8XvxH/DL8G/wD++372vvG+6/7lvuA+2z7W/tL+z37MPsi+xH7APry+ub63frV+tD6zPrJ+sf6x/rJ+sz6zvrP+s/60PrQ+tH60/rY+uD65vrq+u769/sH+xj7JPss+zP7PftJ+1T7XPtj+2z7dPt7+3/7g/uM+5f7o/ut+7b7wPvN+9r76Pv0/AD8C/wY/Cf8N/xF/E/8Vvxe/Gn8dfyC/I38l/yf/Kb8rfy0/L38x/zS/Nr83/zj/Or89Pz+/QX9C/0T/R/9K/0z/Tn9Qv1Q/WD9bf13/YH9jP2U/Zr9n/2l/a79t/2//cb9zv3X/eL97P3y/fP99P36/gb+EP4O/gX+AP4M/iP+Nv47/jn+O/5K/l/+bf5y/nT+fP6K/pf+nf6e/qH+qv6z/rn+uv68/sH+yP7P/tX+3P7n/vH++v8C/wv/E/8Y/xr/Hf8j/yv/M/88/0f/Uv9c/2P/av9y/33/iv+a/6z/vv/O/9v/6P/z//n//QAEABQAKwBAAEsATgBOAE8ATwBQAFYAYQBwAH8AjACbAKwAugDCAMgA0QDeAO4A/gESASoBQQFPAVMBVAFaAWgBeAGHAZUBowGyAcMB2QH1AhMCLQJBAlICZQJ6AowCmgKoAr0C2ALxAwMDDQMbAzYDYQOQA7YD0APnBAcENARlBJMEvwTqBRIFLQU6BUYFYQWNBcEF8gYiBlQGhAarBssG7QcRBy0HOgc+BzQG6gYzBTgEnwUZBroI2wqlC8sMnw2DDnkPPA+5EBwQgxDAEJUQCQ9mDusOnA5tDmcOiA6JDggM7wulCrQKTAowCg8J1wmqCZoJlQmFCXAJZwlqCWMJSQkiCP0I2wi1CIYIUwglCAMH5wfHB5sHZActBv0G0AafBmYGLAXzBbUFbQUbBMYEawQHA50DPQL3As0CrAKDAlECIwIJAgUCEwItAk8CcwKLAosCdwJeAk0CPwIeAeEBlQFLAQUAsQBO//r/3//+ACgAIv/Z/2n+9P6F/hP9n/0//Qr8/Pz1/NL8i/w4+/n74Pvk+/D7+fwB/Az8FfwW/Ar79fve+8n7s/uZ+4D7cvt/+6377/wr/E38WPxZ/F/8bPx+/Jj8vfzp/RD9Lv1J/Wj9jf2x/dD97/4S/jX+Vv5w/oX+l/6m/rT+wP7M/tf+4/7w/v//C/8U/xz/KP83/0f/Uv9b/2f/eP+M/5z/qP+z/8T/3v/9AB4APABWAG4AhQCdALUAzgDmAPwBEQEnAT4BVgFsAYIBmQGwAcYB2wHwAgcCHwI2AkwCZAJ9ApcCrgLDAtkC8QMKAyEDOANPA2cDgAOXA64DyAPkBAIEHwQ8BFgEcgSIBJ4EtwTXBPkFFwUuBT4FSgVPBU8FTAVOBVgFZgVyBXoFfgWEBYoFkQWXBZ0FowWqBbMFvAXEBcwF1gXhBe4F+wYFBg8GGAYkBjMGRQZXBmcGdwaKBqIGuwbPBt8G7gb/BxMHJgc5B00HYAd0B4YHmwexB8YH2AftCA0ILQhNCGcIfgiWCKsIuwjMCOoJGglVCY8JwgnuCgwKDwn1CdEJuAm0CbwJwQm/CbkJtAmzCbsJywnaCeAJ3AnZCeAJ6AnpCeEJ3gnmCfEJ8QnmCd4J4AnoCfAKAAoiClYKjAq2CtgLBwtLC5oL3QwHDBoMIwwzDFAMdgybDLsM2w0BDR8NGgziDI0MTAw/DF4MigytDL8MuwyQDDwL1guKC28LeQuIC4sLhAt6C20LZQtrC4QLoAumC5ELeAt0C4ALhAtyC1cLSwtUC2MLZQtdC1YLXAttC34LiguWC6oLxAvYC9cLxQutC50LjAtsCzMK4gqDChkJqwlNCRYJCAkDCNUIZgfJBykGsAZqBkwGPQYqBhAF9QXdBb8FlAVnBU0FTQVKBRYEogQQA5gDUgMpAv8CzQKlApMCkwKWApkCowK3AtEC6wL/AxEDHwMpAywDKAMeAwwC7AK6AoECWgJoArkDNwOxA/4EHAQnBDsEUQRTBDUEDQP4A/gD9wPaA6MDaQM6AxAC4AKqAngCUQIwAhEB+QHwAfEB7AHZAcEBtAGzAbQBsgGyAbsBywHdAe0CAQIWAigCMQI2Aj8CSAJHAjwCMQIqAiECDwH2AeAB0gHGAbgBsAG1AcMBywHMAdIB4wH3Af8B/gIDAh0CQwJkAnYChAKWAqgCrQKcAoACcAJ4Ao4ClgJ7AkgCGgIDAfQB0gGXAVwBQAFJAVoBWwFCARsA8ADFAJ8AfwBmAE8AMwAU//X/2P+8/5//gv9m/0n/Kf8D/tz+tP6N/mP+Nf4B/cz9mP1n/Tb9AvzL/JP8Xvwt+/r7xPuL+1b7KPsB+tr6r/p/+kz6F/nf+ab5bvlA+R75Avjk+L/4lPhj+C339PfB95j3ePdX9zD3Bvbf9rn2kvZp9kL2IvYI9e/10vWw9Yr1bvVr9YX1ofWZ9VT05PRv9BPz0vOi84DzZ/NJ8xPyw/Jz8kLyNPIx8h/x//Hh8dDxxPGw8Y/xafFH8SzxFPD98Obw0/DH8MLwvfCz8KPwkvCL8I7wlvCY8JTwkvCX8KHwo/CY8Ibwe/B88IXwkvCg8LDwvfDF8MfwzPDZ8Orw+fEF8RDxHPEn8S3xLvEt8SvxKfEp8SrxKvEl8RvxEvEP8RHxE/ET8RDxDfEL8QvxDvES8RTxEvES8RrxL/FO8XbxqvHv8kPypPMN83vz6/RZ9MX1NPWh9gD2TfaY9vj3affK9/34DPgg+FT4l/jH+Nj43vjt+P/5A/jy+Nr4y/jK+NT46/kR+UL5cvma+b755voT+kH6afqJ+qX6wPra+u369vr5+wL7G/tA+2T7gPuU+6X7s/u2+6z7nfuS+5P7pvvR/A78S/x2/Ir8lvyk/LP8u/zH/Ov9Mv2O/ej+Nf58/sD++P8Z/yL/IP8a/xH/Bf8H/y3/iwAXALYBQwGoAeoCGgJIAnMCmQK+AvQDQAOXA+UEHwRLBHIEmQTBBPAFLQVzBbcF7gYZBkAGagaYBs4HDQdRB5UHzwgBCDEIZwilCOcJJQlbCYkJuAnsCisKcwrBCxELXQugC9YMCAxBDIEMuQzaDOQM7g0MDT8Ncw2XDasNwA3hDgsONg5cDoUOvg8MD2oPxxAVEFEQfhCWEJMQdRBZEFkQbBBXD+QPHQ5bDf0OGA5qDp0Oiw5QDh8OFA4jDjsOVg57DqgOyw7TDsgO0g8LD2QPpQ+sD4oPdA+LD8MP/xAwEFwQghCdEKwQuxDWEPQRCREQEQwQ/hDiELsQlhB9EHQQfRCkEOwRPBFyEYkRpRHnEkISgxKSEocSjxK1EuES+xMJExcTKBM4E0UTVRNoE3cTexN2E24TZhNfE18TaBN1E3wTfRN8E3sTdxNsE1wTSRM0Ex4TCxL/EvUS5RLNErYSpxKdEpESgBJxEmkSbBJ5EosSnBKpEsES9hM/E3ATZhMvEwcTCRMOEtkSZBHcEUwQbQ7pDNsK6QnRCdkKrgvADKcNOQ1zDVsNEAzDDJgMjAx+DFQMFQvWC6ULeQtCCvkKpQpQCfwJpwlSCP8IswhtCCkH5AekB24HRAceBvcGzwakBnMGNQXrBaQFbgVLBTIFGQT9BN4EuwSRBGMEMwQFA9kDsAOLA2sDSwMnAwEC4gLPAsMCtQKcAnkCUgItAg0B9AHcAbwBjwFbASgA/QDaAMEAsQClAJEAcgBOADIAHwAP////8P/k/9f/xf+v/5//l/+S/47/kP+b/6b/ov+P/3b/Yv9P/zf/Gf78/uD+xP6p/pz+nv6c/ob+Y/5Q/l3+eP6B/nP+Yv5j/nT+gf5+/nT+av5c/kH+Gv3y/dL9uP2Z/XX9U/03/Rv89/zK/J38evxg/Ej8LvwT+/r75fvR+7v7ovuL+3X7YvtR+0L7Nfso+xv7DPr8+u764/rb+tb60vrO+sz6zPrN+s/6zvrL+sn6x/rF+sX6yPrP+tn64Prk+uf67fr6+wj7Ffsf+yn7NPtB+0v7Vftd+2f7cPt3+3z7gPuG+477mful+7H7u/vG+9H73fvq+/b8APwL/Bf8Jfwx/Dr8Q/xM/Ff8Yvxs/Hb8f/yI/I/8k/yY/J/8qPyy/Lv8wfzG/Mz81vzi/Ov88vz4/QH9C/0U/Rv9I/0u/Tz9Sv1Z/Wn9ef2G/Y79kv2X/Z79pv2t/bP9t/29/cb9z/3X/dz94/3w/f7+B/4E/fn99f4A/hX+Jv4s/iv+Lf44/kn+Vv5d/mP+bf56/ob+jf6R/pf+oP6p/q7+sf61/rr+vf6//sT+zv7c/uj+7v7z/vr/Av8I/wr/DP8R/xj/IP8q/zb/Q/9N/1P/WP9f/2v/e/+M/53/rf+7/8f/0v/d/+b/7f/1AAMAFQAnADQAPABEAEoATgBSAFkAZQByAH4AhwCTAKMAsAC4AL8AygDaAO0A/wESASYBOQFFAUwBUgFZAWIBawF4AYsBoQGzAb4BygHfAfwCGAIrAjoCTAJhAnYChwKYArAC0QLyAwgDEQMVAyUDRwN4A6gDzgPsBA0EOARqBJoExgTvBRMFLQU6BUcFYgWPBcQF8gYXBjgGWwaABqkG0wb3BwwHEgcUBwQGsgX8BR0EtwVcBwII/QqTC5kMaQ1WDk4PEw+gECYQqhDZEGIPYw5TDZ0NTg1DDWINkw2YDSEMJQsGCkMKBAoHCfkJyAmYCYEJeAltCWEJYAliCVQJLgkBCNsIvQiYCGgINwgRB/gH4QfAB5MHYAcyBwYG1gadBl8GIwXpBagFXgUNBLkEYAP+A5kDRAMMAuoCygKeAmwCRAIyAjQCQwJaAnQCiQKLAncCVwI/AjoCOgIkAesBnwFYARcAzABuABX/6f/zAA8ACf/K/2H+6v5x/fj9jf1F/Sz9M/0z/Qv8uvxc/BL77fvn+/D7+/wC/AX7//vy+9/7x/uu+5T7fPtr+2D7Y/t6+6v77fwo/En8T/xM/FL8ZvyE/Kj80fz+/Sj9TP1q/Yj9qv3O/fX+Hv5F/mX+e/6K/pf+pf6y/sH+0/7s/wb/Hf8t/zf/Pv9E/03/Wf9n/3P/ev+B/4v/nP+v/8H/zv/b/+4ACAAlAEEAXAB1AI0ApwDBAN0A9gENASABMwFIAWABeAGOAaQBugHUAe0CAwIXAioCPgJUAmoCggKaArECyALfAvYDDgMmAz0DUgNoA34DlgOtA8YD4gP/BB0EOgRWBHIEiwShBLMEyATkBQUFJgVABVEFXAVhBWIFYQVkBWoFdAV/BYcFjAWPBZMFmAWfBaYFrAWyBbkFwAXHBc4F1gXhBe0F+QYEBg8GHAYrBjsGSwZbBmsGfgaTBqkGvQbOBt4G8AcFBxoHLAc+B1EHZQd7B5IHqQfAB9IH4QfyCBIINAhWCHUIkAioCLwIywjeCP8JMglsCaAJwwnVCdUJwwmnCY0JhQmOCZ8JsQnBCc0J0gnSCdEJ1AnXCdQJzQnMCdcJ5AnpCeQJ4wntCfcJ9QnpCeAJ4wntCfcKBwonClgKjAq5CuELDQtDC3sLsAvfDAUMIQw3DE8MbQyMDKYMuwzSDOgM6gzLDJgMcQxyDJIMuAzQDNgMyQyWDD0L1guKC3ALfQuXC6wLtwu5C7QLswvHC/IMGwwnDBEL8QvdC9MLvAuTC20LYAtvC4ILhQt7C3ULgAuWC6cLswvGC+4MIwxKDEwMLgwJC+4L0QuZC0IK4QqICjcJ3wmHCUsJOgk1CQUIigfdBzgGyAaUBoIGdwZmBlAGOgYjBgUF2gWrBYsFfQVqBTAEwwRBA9YDlgNuA0MDDwLkAtACzgLRAtUC3gLzAxADKwNDA1cDZgNvA20DZgNcA0wDKwL0ArQCjwKpAwkDjwQEBEQEVwReBHIEjASSBHoEVgQ/BD0EPgQuBAwD5AO8A4sDTQMHAskCmwJ5AlwCSAJBAkACNwIhAgwCAwIFAgYCAQH9AgYCGgItAjwCSwJcAmwCdwJ+AoUCigKGAnoCbgJmAlsCRwIvAh8CGAIQAgIB+gIEAh0CLwItAiQCJQI1AkkCWAJnAoECpALBAtIC2wLjAuoC5ALJAqYCkQKWAqkCrAKOAlwCMwIfAhIB9gHNAa0BqAGzAbEBkgFfASwBBgDqANIAuwCjAIYAZQBCACMAB//r/87/s/+Z/37/YP88/xb+8f7M/qX+eP5G/hL93v2s/Xr9Rf0N/Nj8pvx2/EP8C/vT+5/7c/tM+yT69vrC+or6UfoZ+eL5s/mP+XX5XPk6+Qz42Pig+Gj4MvgC9933vvee93n3Tvcl9v321fat9oj2afZN9jP2FfXy9cz1rPWh9az1t/Wj9WP1B/Ss9F/0GPPZ86vzlvOE81bzBPKs8nXyaPJq8l7yQfIj8hHyBPHv8dDxrfGL8WrxS/Ew8RzxC/D88O3w4/Db8NLwxvC+8L7ww/DF8MTwzfDl8P/xAvDk8LXwkPCF8JDwovCz8L/wxfDE8MXw0PDm8QDxEvEc8STxK/Ew8TPxM/Ey8S3xJPEb8RjxGfEV8Qjw+fDy8PXw+vD48O3w3vDV8Nbw4vDy8Pzw/fD+8QfxHPE28VTxffG58gbyXfK88yPzkfQB9HP06PVd9cj2IvZ79un3ZPfJ9/b3+ff/+CX4X/iI+Jj4ofi3+M/41vjE+Kr4mPiU+J34t/jj+Rb5Qvli+X75pPnU+gX6LfpK+mH6e/qa+rr60PrZ+t/67/sK+yX7OftF+1P7Yftk+1j7RPs2+zj7Tft0+6r74fwJ/B38Ivwj/CL8HPwa/C78Yfyo/PP9Ov2B/cb9/P4V/hb+E/4a/i3+Sv58/tj/ZwAbAM8BXQG3AecCBgInAk4CeAKmAt8DIQNnA6YD2wQJBDEEVAR0BJ0E1AUaBWIFoQXWBgMGKwZTBoMGwAcJB1EHkAfEB/UILAhrCK8I8gkvCWMJkgnECgEKTAqdCusLMAtqC54L1AwNDEMMagx8DIMMkgy4DPANKA1RDWkNfQ2bDcYN8w4cDkMOdg7BDx8PfA/IEAQQMhBOEEoQKBAGEAQQHBAXD78PFw5oDgoOGw5uDrAOqg5fDgMNyw3MDfIOHg5EDmsOkg6pDqYOnw6zDukPIQ81DyoPJQ9CD3oPtA/mEBMQPBBZEGkQdRCKEKUQuhDEEMQQtxCYEG4QSRAzECwQMhBSEJIQ3hEVETARUBGVEfQSOxJREkwSVRJ4Ep0SsxK9EswS5hMAExITHxMuEzwTRRNEEzwTMRMrEzATPhNPE1sTYxNpE2gTXhNMEzoTKBMSEvkS5BLbEtgSzhK7EqgSnhKWEocSdRJrEm0SdRJ9EoQSjBKdEsAS/RNCE2cTUBMWEvIS9RLtEp4SEhGDEPcQEw58DF4KdwmJCb8KqAu2DJ8NUw29Db8NXgzdDIUMaQxiDEEMAwvAC48LaAs4CvQKogpNCfsJqwlZCQoIwQh7CDUH7gepB28HPwcUBuoGwwadBnAGNAXrBaUFcAVLBS4FEgT6BOIExQSdBGwEOgQLA9wDrQOFA2cDTAMsAwUC4QLJAroCqgKRAm4CRQIcAfwB5QHRAbEBggFMARwA9QDUALYAnwCRAIIAagBMADEAHgAM//b/4v/V/83/wf+t/5n/jf+H/4X/iv+X/6X/qP+Z/4H/a/9a/0b/Lf8S/vb+2f68/qn+pP6i/pX+e/5l/lz+Xv5b/lP+Uv5e/mr+a/5l/mj+eP6G/oD+Yf43/g395v29/ZP9bv1P/TD9Cvzf/LX8lPx5/F/8Qvwi/AP76fvT+7/7rPuX+4L7bftZ+0f7Ofsu+yT7GPsK+vr67Prj+t362PrT+s/6zPrL+sn6xfrB+r/6v/q/+sD6wvrI+tH62vrh+ub67fr3+wP7D/sZ+yP7Lfs4+0P7TvtZ+2L7a/tz+3r7f/uF+437lvui+677t/u/+8f70vvd++n78/v9/An8Ffwe/Cb8L/w6/ET8TPxS/Fr8ZPxv/Hb8e/x+/IP8ivyS/Jr8ofym/K38uPzF/NH82vzh/Oj88fz6/QH9B/0Q/Rz9K/07/Uz9YP1y/X/9hf2I/Yv9j/2V/Zn9nv2j/az9tv2//cb9zv3Y/eL96P3o/eX95/3z/gP+D/4U/hb+Gv4k/jD+PP5H/lL+Xv5p/m/+c/54/oD+iv6U/pv+oP6m/qj+qP6m/qv+uP7J/tb+3P7e/uP+6/7y/vf++/8A/wX/C/8U/yL/Mf87/0D/Rv9Q/2D/cv+B/47/mv+l/6//uv/G/9L/3f/n//MAAQAPABwAKAA2AEQAUABZAGIAbQB4AIAAhwCQAJ0AqgC0AL4AygDcAPABBAEWASIBKQEuATUBQgFPAVkBYAFrAYEBmwGtAbYBuwHHAdoB7QH8AgsCIQI+Al0CdwKPAqkCxgLgAvQDAQMPAyQDRgNvA5gDvAPdBAIELwRfBIwEtATaBP0FGQUrBT0FWQWFBbkF5AYBBhUGKwZPBn8GsgbWBuMG4gbdBsQGawXBBQ8E6QW6B10JKgqRC4QMWQ1HDi0O2g9fD+4QeRCZD/kOxA2GDLMMWwxLDGAMgwyHDC4LcAqdChgJ+goGCfQJvAmGCWsJZAlhCV4JYAlgCUsJIAjvCMcIpgiACFIIIwgBB+cHzQepB34HUwcrBwAGzQaSBlYGHAXfBZsFTwUBBLAEWAP5A5wDVQMoAwoC6wLFAp8ChgJ+AoMCjwKdAqYCoQKMAmoCSgI4AjcCOQIrAgIBygGQAVEBAgChAEUAEAAJABMABf/L/2z+9/54/fr9k/1Y/U39V/1O/R38yPxs/CL7+Pvr+/H7/vwF+//77PvT+7z7pvuO+3X7ZPti+2z7e/uR+7T75PwS/C38Mfwy/EL8ZvyT/L785/0Q/Tn9YP2B/aD9wf3o/hX+Q/5p/oL+kP6Z/qf+uv7N/uL+/f8h/0b/Yf9u/3H/c/95/4T/j/+Z/6D/pv+u/7v/zf/h//MAAwARACIANgBMAGMAeQCOAKQAvgDbAPgBEgEoATsBTwFnAYEBmgGwAcUB2wH1AhACJwI6AkoCXAJyAooCoQK2AssC4AL4AxIDLANEA1oDbwOFA5wDswPKA+ID/QQZBDUETwRpBIEEmQSuBMEE1ATtBQ0FMQVRBWcFcgV2BXcFdwV4BXkFfAWCBYgFjQWQBZMFmAWgBakFsAW1BboFwQXIBdAF1wXfBekF8wX/Bg4GIAYyBkMGUwZiBnMGhQaXBqcGtgbHBtwG8wcJBxwHLAc+B1IHageCB5oHsgfHB9gH5gf4CBoIOwheCH4InAi3CM8I4gj4CRcJRQl5CaYJwQnACacJggljCVkJZAl1CYMJjwmiCbkJyQnLCcMJvQm8CbwJuwm+CcoJ2AnfCd8J4gnsCfYJ9QntCecJ6wn2CgIKEwoxCl4KkQrCCu4LFws8C2ELjQvGDAIMMAxHDFMMZwyFDKIMtQzADMYMwQypDIYMcQx8DJ0MvAzIDMEMqAx3DC8L4QunC5ILnwu+C98L9wv+C/gL+QwZDFQMiAyUDHYMSAwlDAcL4AuvC4kLhAuXC6wLrwumC6ILrgvAC8sL0wvsDCUMcQypDKwMgQxMDCEL8QuiCzUKzgqFCksKAQmlCV4JSwlQCSkIqgfxB0YG4Aa8BrYGrwadBogGcgZbBjwGEgXlBcAFpAWABTsE0ARbA/8DygOoA4IDUQMmAxADDAMOAxEDGgMvA00DbAOFA5kDpwOsA6kDoAOVA4MDYAMnAusC0AL2A1wD2wRCBHcEgwSHBJgErgS2BKgEjQR4BHAEbwRrBGEEUgQ3BAUDuwNoAyAC7QLKAq8CmwKQAooCgQJyAmQCXAJaAlYCTgJNAlsCcQKFApICnAKoArQCvALCAsYCyALBArUCqAKfApMCfwJsAmQCZQJhAlQCSgJXAnYCjwKNAnYCZwJ0ApcCvgLeAvkDEgMkAykDIgMZAxEDBwL1At0CywLHAscCuQKYAnACVgJQAkwCPAIjAhICDQIFAecBsgF4AU4BNgElARIA+QDaALgAlABzAFYAOwAfAAP/5//N/7L/k/9x/07/Lf8K/uT+uf6J/lb+I/3w/bv9hv1Q/R/88Py//Iv8U/wd++37wvuZ+237O/sF+sv6kfpY+if5//nh+cj5rPmE+VD5Ffja+KT4c/hI+CX4Bvfn98L3l/dr90H3GPbz9s/2rvaO9m/2UfYy9g/17fXU9cf1ufWY9WD1H/Ti9Kb0X/QT893zyfPC85zzSvLr8q7ynfKe8pDycPJR8j7yMvIf8gXx6PHJ8abxgvFm8VXxR/Ez8R7xD/EJ8Qbw/PDw8Ojw5/Dp8PLxDvFA8XDxefFM8P7wuPCV8JTwovCy8L7ww/DD8MXw0fDp8QPxF/En8TPxO/E78TTxMPEv8SvxHvEN8QTxA/EA8PHw3/DY8N7w6PDl8NPwuvCq8KrwufDN8Nnw3fDj8PTxDvEo8UDxYPGP8c7yFvJn8sbzM/Om9Bv0k/UO9YL16fZR9sv3T/e099z31PfP9+74JfhO+F34ZPh3+JD4nfiX+If4efhz+Hn4kPi7+On5Dfkj+Tz5ZPmb+c/59PoJ+hf6LPpO+nn6m/qs+rH6vPrS+uj69Pr3+vv7BPsI+wD68vru+vz7F/s5+137gfub+6b7pfuf+5v7mfue+7D71vwJ/ED8efy2/PL9Hv0y/Tj9Sv11/br+Ef58/wb/rABbAPQBYQGhAcYB4gIBAikCWwKVAtEDCgM6A2YDlAPFA/UEGgQ5BF4EkwTXBR4FYAWYBccF8QYZBkgGhQbLBxIHUAeFB7cH7wgtCHAItAj2CTEJZgmcCdwKJwp3Cr0K9QsjC1ELhQu5C+QL/wwODB4MPAxrDKUM3Q0HDSENNA1MDXINow3VDgQOOg6DDtsPMg96D7QP5hAJEAsP6w/GD78P0g/SD4wO/g5fDfgN9g5GDqQOww6CDgUNnA19DaIN3A4IDiwOVQ55DoMOdQ5vDooOtw7XDuEO6Q8HDzkPbQ+dD8sP+BAZECgQMRBCEFoQbxB6EHsQcRBYEDMQEA/4D+4P8xAREEoQjBC5ENIQ9hE/EaAR7BIKEg4SHRJBEmUSdhJ7EogSpBLGEuES8hL8EwYTDhMQEwsTARL7EwITFBMpEzoTRRNME0gTNhMfEwwTARL0Et8SyhK/Er0StxKqEp0SlRKNEn0SbRJpEnMSfhKBEn8SghKTEroS+BM3E1MTNxMBEuQS5hLNEmIRuhEaEIQPlg30C9cKEAlZCb8Kugu8DJYNUA3aDfsNpA0QDJYMXQxHDCgL8AuwC3wLTgsaCtcKigo6CewJoAlWCQ4IygiHCEIH+Qe0B3UHPwcNBt8GuQaWBm0GNAXtBakFdgVRBTEFEgT4BOMEyAShBHAEPgQPA94DrQODA2YDTgMwAwkC5ALIArMCngKCAl8COAIPAe0B1gHCAaMBdAFBARcA9gDWALMAlACBAHQAYQBGAC0AHAAM//f/4P/R/8r/wv+v/5n/h/9+/3v/f/+M/57/p/+f/4n/cv9f/0v/M/8X/vr+3v7C/q3+of6a/o7+fP5r/l7+VP5I/j7+P/5G/kb+OP4r/jL+Uv52/oX+d/5W/i7+Bv3c/bP9jf1p/UH9Fvzr/Mn8rfyV/Hn8Wfw1/BL78vvX+8P7svuh+4/7evtm+1L7Qvs2+yv7IPsR+wH68vro+uD62vrT+sz6xvrB+rz6uPq2+rf6ufq7+rz6vfrA+sj60vrd+ub67vr2+v/7CfsT+xz7JPsu+zn7RftR+1r7Yvtq+3P7e/uD+4v7lfuf+6n7sfu3+737xvvR+9v75Pvu+/r8BfwO/Bb8Ifws/DT8OPw6/ED8S/xX/GD8Zvxp/G38cvx3/H38gvyJ/JD8mvyn/LT8wPzJ/NL83Pzl/Ov88vz6/Qb9FP0i/TD9Qf1U/Wb9cv12/Xb9df14/X39gv2K/ZT9oP2r/bT9uf29/cH9xP3G/cz91f3i/e398/33/fz+BP4N/hf+If4u/j3+Sv5S/lT+Vf5Y/l/+aP5y/nv+hP6K/ov+h/6F/ov+nP6w/r7+w/7F/sn+0P7Z/uH+6f7u/vL+9f79/wv/G/8o/zD/OP9H/1r/a/94/4L/jf+Y/6T/r/+6/8b/0f/d/+r/9wAEAA8AGwAqADsASwBZAGYAcgB8AIMAiQCRAJ0AqwC5AMYA0gDhAPMBBwEXAR8BHgEcASMBMwFGAVMBXQFsAYEBmAGpAbIBuQHDAc0B1AHbAesCBgInAkgCZgKBApgCqgK3AsQC1wL0AxcDOwNdA30DnQPBA+oEFgRABGcEjQSyBNYE9gUOBSUFQwVtBZ4FzAXqBfwGDQYtBl8Gkwa2BsEGvwa3BpMGLQWNBQ4FNgZCB+kJjQrIC6wMhg1wDjkOuA8ND3MP3A/nD00ONA0UDEcL0wuVC38LkAuoC4sLIQqcCkIKJQoYCe0JqQlyCVwJWglbCVoJWwlYCUQJGgjpCL0IlQhrCD8IFgf0B9QHsAeHB18HPAcYBu0GuQaDBkwGEwXSBYoFQAT3BKsEVAP3A6MDZwNDAycDDALxAt8C1gLUAtcC3ALgAtgCvwKbAnoCZgJcAlYCTgJBAi4CEAHdAY0BJAC4AGYAQAA9AD0AJv/u/5f/J/6k/h79sf12/Wb9ZP1L/Q78uPxi/B778/vj++j79/wB+/r75PvK+7X7pfuT+4H7efuD+5f7pfut+7r71vv6/BT8H/wo/EL8cfyn/Nj9Af0n/U/9dv2Z/br92/4C/i7+Wv59/pX+o/6y/sr+6P8E/x3/OP9Y/3f/jf+W/5n/of+u/7z/w//G/8n/0v/i//QACAAcAC4APQBKAFQAYgBzAIgAnACtAL8A0wDtAQkBIwE4AU0BZQGAAZwBtgHNAeEB+AIRAisCQgJVAmcCegKRAqkCwALUAuUC+QMRAywDRwNfA3UDigOhA7kD0APmA/0EFQQvBEkEYAR2BIwEoQS2BMoE3ATzBRAFMwVVBW8FfQWDBYUFiAWIBYcFhAWEBYgFjAWQBZMFlwWeBacFrQWyBbgFvwXIBdEF2gXiBesF9AYBBhEGJAY3BkcGVwZnBnkGiQaUBp8GrQbBBtkG8AcDBxMHJQc7B1UHcAeJB6AHtgfJB9oH6wf/CCUIQwhiCIEIoQi/CNwI+AkVCTQJWgmECasJwQm5CZMJYglACTwJTwlhCWgJawl6CZYJrQmyCakJoAmgCaQJqQmuCbgJxQnQCdcJ3wnsCfcJ+gn3CfQJ+AoBCg4KIQo/CmkKmwrOCv4LIgs5C08LeQvADA8MRQxVDFIMWwx4DJwMsQyzDKkMkwx0DFUMSgxfDIcMpgysDJkMdwxMDBsL7AvLC78LygvoDBAMLgw0DCkMKAxODJQMzgzYDLEMeAxHDB4L8QvCC6YLqgvCC9cL2gvUC9ML3QvlC+QL4wv+DEUMpQzsDPIMuQxoDBwL0AtvCwAKpgp0Ck4KCQmlCVcJSAlYCToIuwf9B1IG9QbdBuAG3AbKBrMGnAaCBmEGOwYVBfIFywWTBT0E0ARmBBoD8QPZA7kDjgNlA08DSQNLA04DWANuA40DrAPEA9UD3wPjA+ED2gPOA7gDjwNYAyYDHANPA7YEKgSDBK4EugS+BMcE0ATSBMgEugSuBKkEqQSvBLcEuQSnBHUEJgPNA38DRgMfAwEC6QLYAs4CygLFAr0CtgKuAqcCpAKsAr8C1QLlAu8C9gL9AwMDBgMGAwYDAwL5AukC2gLOAsECswKnAqcCrwKxAqcCngKqAswC6gLrAtICvQLHAvMDKgNVA20DeAN3A2oDUwM8AzADMgM5AzkDLwMbAwEC3wK+AqcCoQKkAqACjQJyAlsCSAIsAf8BywGgAYYBeAFnAU0BKwEIAOUAxQCpAI8AdQBZADwAHwAB/+H/wP+g/4L/ZP9D/x3+9P7I/pn+Z/40/gD9y/2X/Wf9Of0I/NP8nvxs/ED8Fvvq+7j7gvtK+xD61/qh+nT6UPoz+hf59PnE+Yr5TfkU+OT4uviV+HT4U/gx+Ar33vew94X3Xfc69xj28/bM9qj2ivZv9lH2LfYJ9ef1xPWX9WT1NvUP9OL0n/RR9Bj0B/QF8+XzlPMw8uny0fLL8rrymPJ58mnyX/JP8jjyHvIE8eTxw/Go8ZnxjfF58WDxUPFL8UbxNvEe8QrxAvEG8RnxRvGM8c7x3/Gq8Ujw5/Cs8JjwnfCs8LrwwvDF8Mjw0/Dn8P3xEvEp8T/xS/FF8TPxJvEi8R/xEPD88PHw8/Dy8OTwzvDC8Mjw0/DT8MHwqfCY8JfwofCu8LTwuPDE8N/xAPEe8TTxTPFw8Z/x1vIY8m/y2fNN88L0OfS29TD1ofYT9pT3HfeF96z3nveS96z34vgN+Br4HPgn+D74U/hd+GD4YPhe+GD4cPiS+Lj40fjf+PH5GPlO+YX5q/m/+cn52vn6+if6U/pu+nv6iPqc+q/6s/qr+qT6pfqp+qr6qvq4+tT69PsN+x37Kvs0+zb7MPso+yb7LPs6+1L7c/ud+8z7/vw0/Gf8jPyl/MD88/1J/bz+QP7Q/2oABACLAO8BMgFhAYoBsQHYAgICOAJ6ArsC7wMSAy8DVQOGA7oD5QQJBDIEagStBO8FKQVcBYkFtAXfBhIGTgaTBtcHFgdQB4kHxggECEIIfwi6CPUJLQloCasJ9Ao/Cn8KsArXCv0LKQtUC3gLkQunC8cL9AwqDGAMkQy4DNMM5gz7DR4NUg2LDcIN+Q48DowO3g8mD2UPnw/JD9IPuQ+YD48Pmw+WD1UO0A4rDasNiA3QDk8OpQ6LDgsNfg0/DVsNnQ3RDfIOFg4+Dk8OQg4zDkEOag6RDqQOsg7QDv8PMA9eD4sPtQ/TD+AP6A/8EBkQMRA5EDQQKBAVD/sP3g/GD7gPvQ/bEBEQSxBzEI0QthEDEWIRrRHPEdsR7xIVEjoSTBJPElUSaxKOErESyhLUEtgS3RLjEuQS3BLTEtYS6RMAExATGBMaExQTAxLvEuIS4RLeEtESvBKtEqUSnxKWEo0ShxJ/EnISZxJpEnQSfBJ5EnISchKEEqwS6BMhEzQTFRLkEs8S0hKsEioRZxCrD/oO9A1LC0YJtQk/CdYK2Qu7DGUM/Q2FDcoNpg01DLwMZwwyDAYL1gukC3ALNgr1Cq8KZwoeCdUJjAlHCQQIxQiFCEQIAAe+B38HRgcQBuAGuAaVBmsGMgXsBawFfAVbBTwFGgT6BN8EwwScBG0EPQQPA98DsAOHA2oDUAMxAwwC6ALKArACkwJzAlECLQIGAeMByQGzAZUBaQE4ARIA9wDaALQAkAB5AGsAWQA/ACYAGAAN//7/6f/Z/9D/xv+y/5j/g/93/3L/df+A/5H/nf+b/4v/dv9i/0z/MP8R/vH+1f68/qj+mf6L/nz+bf5k/l/+Vv5G/jT+Kv4m/hr+A/3u/fD+Df4y/kr+Sv46/iD+A/3k/cX9pv2B/VL9Ifz3/Nv8xvyv/JL8b/xK/CX8Afvk+837uvup+5f7hftz+2L7UvtD+zX7JvsW+wX69vrr+uL62vrT+sv6xPq8+rX6sfqx+rP6tfq2+rX6tfq4+sD6y/rY+uP66vrv+vX6/vsI+xL7Gvsi+yz7N/tD+037Vvte+2f7cft6+4T7jfuX+5/7pvut+7T7vPvF+8371vvg++v79vwB/Av8GPwj/Cn8Kvwq/C38N/xD/E38VPxY/F38YPxi/Gb8avxx/Hn8gvyN/Jn8pfyw/Lr8xvzQ/Nj83vzn/PT9A/0P/Rf9IP0v/UP9Vf1e/V79XP1c/WH9aP1x/Xz9if2W/aD9pv2o/ar9rP2w/bf9wf3M/dT92P3b/eL97f33/f/+B/4S/iD+Lf40/jb+N/46/j/+Rf5O/lr+Z/5v/nD+a/5p/nP+hf6Z/qf+rP6u/rP+u/7E/s7+1/7d/uH+4/7q/vn/Cv8Z/yX/MP8//1D/X/9q/3T/gP+O/53/qf+z/73/x//U/+P/8f/+AAoAFQAiADMARQBWAGYAdQCBAIoAkQCYAKIAsADBANAA3ADmAPIBAwESARoBGQEYAR4BKwE6AUgBVgFpAX4BjQGXAaEBsAG9AcIBwQHEAdYB8wISAi4CSAJhAncChQKOApoCsQLVAv4DIwNDA2IDhgOuA9cD/AQdBD4EYwSLBLIE1ATyBQ0FLAVSBYEFswXcBfYGDAYrBloGigapBrQGtgarBnQF9gVYBQ8FjgbiCJUKEwsdC+wMyg21DmoOvg7XDvMPEw75DncNqQzXDCcLlwskCugK+gs4C1sLNwrkCpYKYAorCeQJmQloCVgJWQlYCVMJUQlMCTgJEgjiCLEIgghVCC0ICgfoB8EHkwdnB0EHIAb8Bs8GnwZwBkEGCAXCBXUFLAToBKEETQP1A60DfQNdA0EDKAMaAxkDHQMZAxMDEAMOAv8C3gK3Ap4CmAKSAoACaAJbAlsCTgIRAZ0BEgCiAGwAawB8AHwAXAAg/83/Yf7Z/kn90v2L/W79Wv0y/O78nvxR/BX76/vX+9j76Pv3+/j76fvX+8v7w/u5+7D7sPu9+8z70PvL+8374vwG/Cb8NvxB/Ff8gPy1/Or9G/1J/XP9mP25/df99v4Z/kD+aP6N/qv+w/7d/v3/Iv9E/1//dP+F/5P/nf+o/7n/0//u//z/+v/x//D//QAVACwAPwBOAF0AagBzAHkAggCTAKsAwgDSAN8A7gEEAR0BNQFLAWEBewGYAbQBzQHkAfoCEAInAkACWAJvAoUCmwKxAskC3wLyAwIDFQMtA0gDYgN5A40DoQO3A84D5AP6BBAEJwRABFkEcASGBJoErwTGBNsE7wUCBRkFNQVTBW0FfQWGBYsFjwWSBZAFjAWKBYsFjwWTBZUFmAWdBaMFqQWvBbYFvwXKBdQF3wXpBfMF/AYHBhQGJQY2BkUGVAZmBngGhwaRBpsGqwbCBtcG6Ab2BwcHHgc7B1kHdQePB6cHvAfQB+IH9QgLCDEISghmCIUIpAjDCOQJBwksCVEJdAmUCa4JugmrCYIJUQkvCSwJPAlNCVIJVwlnCYMJnAmjCZsJkgmSCZcJnAmiCaoJtwnFCdMJ4gnxCf4KBQoFCgMKBQoMChkKLQpLCnIKoQrWCwgLKQs5C0kLdgvHDCAMWAxfDEwMRgxdDIEMmgycDIsMbgxLDC4MKQxDDG0MjAyQDHgMUgwrDAoL8gviC9sL4Qv7DCUMSQxTDEUMQgxpDK8M6gzxDMQMhAxMDB4L8QvLC7wLyAviC/UL+gv5C/wMBAwDC/UL6wwGDFcMyw0nDTgM9AyADAQLjQsaCrMKcQpWCj0J/QmfCVgJTglfCTsIuAf7B1gHAwbzBvoG+AbqBtUGvAadBnoGWwZABiMF9QWqBUME0ARvBDMEFgQFA+sDxwOmA5IDigOJA4sDlgOtA8sD6AP+BAwEFAQYBBkEFQQIA+wDwQOQA28DegO5BB0EgwTMBPAE/QUCBQQE/wT1BOsE6QTuBPQE/AUGBRAFEwUABNAEhgQwA+ADoANxA00DLwMbAxADEAMSAxADCQMCAwIDDAMeAzEDPwNHA0wDUANVA1YDUwNOA0gDQAMxAxwDCAL6AvAC6ALlAukC8wL6AvkC9gMCAyEDQwNRA0MDMAMyA1QDhwOyA8MDvgOsA5MDeQNmA2MDdQOQA6ADlwNzA0IDFQL6AvQC+wL+Au0CyQKgAn0CYAI+AhYB8QHYAcgBuAGdAXoBVgE0ARYA+wDiAMsAsgCVAHYAVQAyAA//7P/N/7H/lP9z/1D/Kv8D/tj+qv57/kn+Ff3g/a/9f/1P/R386/y+/JT8afw4/AH7yfuR+1n7I/ry+sj6pvqG+mL6NPn9+cD5hflT+Sv5Cfjp+Mb4oPh4+E34H/fx98f3oveC92D3OfcO9ub2x/as9pD2bfZE9hj16vW39YT1W/U99Rn03vSU9Fz0SvRK9C/z4vN88yzzCPL78ufyyPKs8p7ylvKH8nDyW/JH8jDyFfH98e/x4/HP8bbxovGX8YnxbvFK8S3xIfEn8T/xcvG98gLyFvHi8X3xE/DK8KrwqPC08MPwzPDM8M3w1vDn8PrxDvEo8UPxUfFH8S7xGfET8Q/w//Dq8OHw6PDu8OHwyfC58LnwwvDE8LjwqPCd8JnwmfCY8JXwlvCm8MXw7PEM8SXxPfFd8YHxqfHc8ibyh/L082Pz2PRW9NX1S/XA9kL2yvc09173VPdH91/3kPe398L3wPfJ99739vgM+CH4NPg/+EL4TPhk+IL4lvid+Kb4wfju+SH5Tvlt+YL5lPmw+dn6CPou+kb6Vvpm+nL6b/pe+k76SvpR+lr6aPqA+qL6wPrP+tD6z/rR+tP6z/rI+sb6z/rj+wD7JvtU+4j7v/v1/CP8Sfxw/Kj8//12/gL+lP8n/7MALACFAL8A6wEaAVIBiAGyAdkCCwJNApMCzALxAw4DMANcA4sDtgPgBBEETQSMBMYE9gUhBUoFdQWlBdwGGwZfBqUG6AcqB24HsAfuCCQIVAiECLYI7gkqCWsJrwnyCjEKZAqMCq4K0Qr2CxgLNwtZC4YLvgv2DCYMTgxuDIkMngy1DNgNDA1IDX4Nrw3mDisOeQ7GDxAPUw+ED5MPgg9pD2APZQ9XDxAOhg3WDTsM+g03DcoOTw5gDfMNXQ0LDR0NYQ2XDbUN0Q3xDgMN/A31DgkONg5cDm0Odw6UDsQO9w8kD0wPcQ+JD5MPnQ+1D9kP9A/4D+oP1w/GD7UPow+SD4gPjw+vD+EQFhA+EF4QjhDbETkRhxGzEcYR1xHxEg4SIxIsEjASPRJZEn8SnhKqEqsSrRK4EsASuxKvEq4SwBLYEuUS5BLfEtoS0hLHEsASwhLEEr0SqxKZEo4ShxKBEnoSdBJsEmQSXxJkEmsSbRJkEloSWxJuEpkS1RMJExMS7hK+ErASthKIEfURGRA7D2EOOgyNCq8JZgk5CfsK/Qu3DCAMegzmDUQNYw05DOEMewwfC9sLsQuRC2ULIwrWCo0KSgoHCb8JdgkyCPIItQh5CD4IAgfFB4kHUAcaBugGuwaTBmYGLAXoBaoFgAVkBUcFIwT7BNcEtgSRBGUEOAQMA98DtAONA24DUQMvAwoC5wLKAq0CjAJoAkYCIwH+AdgBuwGkAYcBXQEvAQwA9QDbALcAkQB2AGcAVgA7ACEAEQAKAAD/8f/i/9f/yP+x/5X/fv9x/2z/bv92/4P/jv+P/4P/c/9g/0v/L/8P/u7+z/63/qT+lf6E/nD+YP5b/l3+Wf5H/i/+HP4S/gX97/3X/cz91P3m/fX9+v32/er92P3G/bj9qP2M/WD9Lv0H/O/83vzJ/Kr8hfxe/Df8Evv0+9z7x/uz+5/7jft9+277XvtN+z77L/se+w36/vrx+uf63vrW+tD6yfrB+rr6tfq0+rX6tPqx+rD6svq3+r/6yvrW+uD65frn+uv69Pr/+wn7D/sV+xz7Jvsx+z37SPtS+1v7ZPtt+3f7gfuL+5T7m/uj+6r7svu6+8P7zPvW++D76/v2/AL8D/wa/CD8Ifwg/CL8Kvw0/D78RfxK/E/8UvxU/Fb8Wvxh/Gj8cPx6/IT8jvyX/KL8r/y6/MP8yfzS/OD88fz8/QD9Av0L/R79NP1B/UP9QP1A/Uf9UP1a/WT9cP19/Yj9j/2U/Zr9n/2k/aj9rf20/bv9wP3F/c391/3h/ej97v31/f/+CP4P/hT+Gv4i/if+LP40/kD+T/5Z/lv+WP5Z/mX+d/6I/pL+l/6c/qP+q/60/r7+yP7P/tT+2P7g/u3+/v8O/xv/Jv8y/z7/Sf9T/17/a/97/4r/mP+j/6//u//K/9r/6P/2AAIAEAAfAC8AQQBVAGcAeQCIAJMAmwChAKgAsgDCANIA3gDmAO4A+AEFAQ0BEgEXAR0BIwEnAS8BQQFZAW0BdQF4AYEBlAGkAagBpAGpAb8B3wH9AhMCKAJBAlkCbQJ8Ao0CpwLIAuwDDgMvA1QDfgOsA9QD8wQOBCwEUgR7BKEEwQTgBP8FIAVEBXAFpAXWBfsGGAY7BmkGlQavBrgGuQakBlIFtwUcBQsF5Ad+CTsKjgtmDBwM/A3uDp4O3Q7JDp0OaA4ZDaUNIgykDCMLjgsBCrYKzwskC2ULXwshCtIKhAozCdwJkwlqCVwJWQlTCU4JSglDCSsJAwjRCJ0IbAg/CBkH+AfVB6oHeQdMBycHBAbcBq4GgQZbBjMF/AWyBWIFGATWBJAEQgP3A74DmgN6A1kDPgM4A0QDTANDAy8DJAMhAxUC9QLRArwCtwKuApICdAJqAnACXAIEAW0A1AB4AHAAmQC5ALAAfgA5/+b/e/7z/l/94P2O/WL9QP0R/NL8jvxS/CD7+fvg+9r75fv2/AH8Afv5+/L77fvq++n77vv3/AD8AfwA/Ar8J/xO/Gv8dPxy/HX8i/y2/PH9M/1x/aL9w/3a/fD+Cv4o/kr+cP6b/sb+6/8M/yz/Uf93/5f/rP+1/7b/uv/M//EAIQBHAFIAQgAqAB8ALABFAFoAZgBuAHcAgwCLAJEAmQCrAMYA3wDxAP0BDAEhATkBUQFoAYABmwG2Ac8B5gH8AhQCKwJAAlcCcAKMAqYCvALQAuYC/AMQAyIDNANKA2QDfQOSA6QDtgPJA94D9AQIBB0ENARNBGgEgQSZBK8ExgTeBPcFDQUfBTAFQwVZBW8FgQWLBZAFkwWUBZMFjwWMBY0FkQWWBZkFnAWhBacFrQW1Bb4FxwXQBdkF5QXwBfsGAgYIBhIGIAYvBj0GTAZfBnEGgQaOBp0GsQbHBtkG5AbxBwYHIwdCB14HeAeUB7AHygffB/EIBAgZCDsIUghsCIoIqQjICOkJEAk9CWgJiwmgCaYJmwmACVoJNQkhCSAJLQk7CUYJUwlmCX4JkAmWCZIJjgmNCZEJlgmdCaYJswnDCdUJ5wn5CgYKDQoPCg8KEQoZCicKOwpVCnYKogrXCwsLLQs7C0sLeQvODCsMZAxmDEkMNQw+DFsMdgyDDH8MbQxSDDsMNgxJDGcMfAx7DGUMQwwiDAoL+wvvC+IL3QvvDBsMSQxeDFkMWAx4DLQM4wzhDLEMbww4DA8L7gvXC9ML4wv5DAYMCwwPDBkMIgwcDAcL+AwUDG8M9g1tDZINUQzDDBoLdwruCowKWQpJCjUJ/wm1CYIJeAlyCTQIowfuB1sHDwb/BwUHBwcBBvMG2wa5BpgGgQZxBlkGJAXIBVEE3ASEBFQEQAQxBBwEAgPsA90D0QPJA8cD0gPoBAQEHgQxBD4ERgRMBE8ETAQ8BB0D9QPRA8cD5wQwBI0E4AUVBS4FOgVCBUMFOAUoBR8FJgU3BUkFUwVXBVgFUQU7BREE0wSHBDgD8gO8A5QDdwNjA1gDWQNdA14DWwNcA2kDgAOXA6QDpwOmA6cDqQOqA6cDoAOXA4wDfgNrA1UDQAMyAywDLAMtAzEDOANDA00DVANhA3oDnAO3A7wDrAOeA6cDxwPpA/UD6QPQA7oDrAOoA7ADxQPcA+UD0QOjA2wDQQMuAzEDOAMwAxEC4wK2ApMCeAJcAj8CKAIXAgYB7AHJAaYBhwFrAVABMwEZAQEA6QDMAKoAhgBiAD8AHv///+H/wf+h/4H/YP88/xX+7P7B/pP+YP4q/fX9xf2X/Wr9PP0Q/OX8tvyA/EX8DPvX+6T7c/tH+yD6/frW+qf6cPo0+ff5wvmX+Xj5XPk8+RX46Pi5+Ir4XPgw+Aj35vfH96f3gfdX9y/3DPbt9s/2rPaH9l/2MvX99cf1m/V79Vn1I/Tb9J/0hvSE9HH0L/PP83nzSPMx8xvy/fLh8tDyxfK38qbymPKP8oHybfJZ8kryPvIq8g3x8fHa8cLxn/F38VjxS/FQ8WjxmPHd8hryKfH58Z3xPfD28NLwyfDR8Nvw3/DZ8NXw3PDr8PzxDPEi8TvxR/E98STxEfEL8Qbw9PDd8NXw3vDn8OHwzfC98Lvwv/C+8LfwrvCn8KDwlvCM8IPwgvCO8KnwzPDu8QzxK/FN8W7xjfGy8eryOvKW8vrzafPo9G306fVf9dv2Wva+9uv27Pbs9wv3PPdd92P3Yvdv94j3ofe699n3/fgZ+CP4Kfg4+FD4Y/ho+Gn4c/iP+Ln46vka+UH5Xvl4+Zr5xPnt+gv6HPol+if6H/oO+gD5/voI+hb6Jvo6+lL6ZPpo+mP6YPpl+m36cfpw+nH6fPqU+rf65vsg+1/7nvvU/AH8Lfxo/L79M/27/kf+zv9M/70AFwBVAIEArgDpAS4BaQGSAbIB2wIVAlkCmQLNAvcDHwNHA20DkwPAA/UEMARpBJoEwwTrBRUFQwV4BbIF8wY5BoAGyAcRB1gHmgfSCAEIKQhQCIAIuQj2CTEJaQmjCd8KGApGCmgKhQqnCs0K9AsdC08LiwvIC/gMGgwzDEkMXgx3DJwM0Q0MDT8NaA2SDcoOEQ5hDrIO/A8zD0gPPQ8nDxwPGQ8ADrEOIw1wDNAMhgy5DUsN2g4BDawNJwzYDOENGw1NDWkNgg2fDbINtw3DDekOHA49DkAOQA5YDokOvQ7oDwsPLQ9HD1UPXw92D5YPrw+xD54Phg90D2kPYA9ZD1kPZw+GD7QP5RAPEDQQZRCvEQ8RbhG0EdYR2xHWEdkR6RH+Eg0SGRIuElEScRJ/En4SfxKNEpoSlhKHEoQSmhK3EsQSuhKrEqQSoxKeEpgSlxKaEpgSjhKBEncSchJtEmcSXxJXElISUhJWEloSVhJLEkESQxJbEosSyRL2EvQSxxKaEpISlxJeEbcQxA/HDsMNeQvOCiMJKwlHCiwLKQvCC/oMHQxiDL8NCw0gDO0MgQwGC6wLgwtyC08LDQq9CnQKNQnxCacJXgkcCOAIpghtCDYIAAfGB4sHUgcdBusGugaMBlwGIwXiBaYFfgVlBUwFJQT2BMoEpQSBBFoEMAQGA90DtAOQA3ADTwMqAwMC4QLDAqYChAJfAjsCGAHyAcwBrAGTAXcBUAElAQUA8QDbALoAkwB3AGcAVwA+ACEADQAD//v/7//h/9T/w/+r/5D/ef9s/2j/af9v/3n/gP9//3f/av9c/0r/Mv8V/vb+1f65/qP+k/6C/m3+W/5T/lP+Uf5B/in+Fv4O/gn9+/3l/dD9wv27/bj9uP21/a39nv2S/Y79jP2A/WD9N/0W/QL89fzj/Mb8oPx1/En8IvwD++z71/vB+6v7l/uH+3X7YvtR+0P7Nfsl+xT7BPr3+uv64PrY+tP6z/rI+sD6uvq4+rb6tPqx+rD6tPq5+sD6yfrU+t364vrk+uj67/r4+wH7B/sL+xD7Fvsg+y37PPtJ+1L7Wfth+2v7d/uC+4z7lfud+6T7q/uz+777yfvT+9z75fvv+/r8BfwP/Bf8Gvwb/B78I/wr/DP8Ovw//EP8R/xK/E38UfxV/Fz8ZPxt/Hb8fvyG/I/8m/yn/K/8tPy7/Mf82Pzl/Or86fzu/P79E/0i/SX9I/0l/S79Of1D/U39WP1l/W/9dv18/YX9j/2V/Zf9mP2d/ab9rf2z/br9wv3L/dH91v3a/eD95v3s/fT9/v4K/hP+GP4e/in+Nv5A/kT+Rf5K/lf+Z/50/nz+gf6I/pH+mv6j/q3+t/7A/sf+zf7V/uD+7f77/wn/FP8e/yf/Mf87/0j/Vf9i/3D/fv+N/53/rv/A/9D/3f/p//cABwAZACsAPwBTAGcAegCIAJQAnACiAKYArAC3AMUA0gDcAOIA6ADvAPgBAwEPARcBFwESARUBKQFGAVsBXwFdAWUBeQGLAY8BjgGZAbUB2AH1AgoCHgI2Ak4CZAJ5ApECrQLKAuYDAwMkA0wDegOqA9UD+AQWBDgEXwSDBKAEuQTWBPkFHgVDBW0FoAXTBfwGHAZCBnEGnQa0BrkGswaMBh8FcgTpBRkGRggXCdQLAQu0DFoNNg4gDsEO7g7ADmIN6w1pDPYMqgx3DCgLpQsUCsAKygsLCz0LOgsLCskKfQonCdEJkAluCWAJVglMCUcJRQk5CRoI6wi3CIUIVAgnB/4H2Qe0B4oHXgc1BxAG6ga9Bo8GZgZGBiQF8QWqBVsFEATLBIUEPgQCA9kDuwOZA28DUANOA2EDawNaAzsDKAMlAx8DAwLcAsACsgKkAo0CeAJxAmkCMwG3ARMAkQBoAJIA0QDoAMEAdAAf/8n/Yv7j/lj93v2I/VL9J/z5/Mb8lfxs/En8KPwN+/78AfwR/CP8K/wp/CD8GPwV/Bf8Hfwk/Cz8OPxM/Gz8kvyy/L/8t/yj/JP8lvy2/PT9RP2R/cj95P3z/gP+Gv42/lX+ev6q/t7/Df8x/0//c/+e/8r/6P/z//L/9wARAEQAgACrALIAlwBzAF8AZAB1AIIAhQCEAIkAlQChAKkAsgDCANkA8QEEARMBJgE+AVkBcgGKAaMBvQHWAe0CAgIYAjECSQJeAnQCjQKqAsQC2QLrAv8DFQMsAz8DUANkA3sDlAOqA7wDzQPfA/QECQQeBDMESQRhBHsElQStBMQE3AT2BRAFKAU7BUkFVgVoBXwFjgWZBZsFlwWUBZEFjwWOBY8FkwWaBaEFqAWtBbMFugXCBcoF0QXXBd4F6AXzBfsF/wYEBgwGGgYqBjgGRgZWBmgGegaMBqEGuAbOBt0G6gb7BxUHMgdLB2AHdweXB7sH2gfwCAEIEgglCEQIWAhxCI8IsAjRCPYJIAlPCXwJmwmiCY8JaQk/CSAJFAkXCSIJLAk2CUQJVwlpCXYJfQmBCYQJhwmKCY4JlAmdCakJtwnHCdsJ7gn/CgoKDwoSChUKHAonCjgKTApgCnoKnwrSCwcLKws6C0kLdQvIDCYMZAxsDE8MMAwoDDgMVAxwDIIMhgx/DHQMcAx1DH4Mggx7DGoMUww9DCsMGwwGC+oL1QvbDAUMPQxlDHEMdAyJDK8Mxwy2DIEMRAwYDAAL9AvwC/UMAwwQDBYMFwweDC0MOAwyDBwMDwwwDJYNKw23DfgNyw1BDIULxwsqCsIKjAp0ClgKKQn1CdEJugmNCSYIigflB2gHJQcPBw4HEgcVBw4G+wbfBscGuwazBpkGWQXuBW0E+ASpBIIEcARgBE4EPQQyBCcEGAQJBAQEDQQiBDkETgRfBGwEdQR7BH0EeQRoBEsEKgQZBCgEXQStBQAFPgVdBWcFbgV6BYEFfAVvBWgFcQWEBZMFlgWQBYYFdwVgBT0FCwTLBIMEPQQHA+EDyAO1A6kDpgOpA60DsQO8A9ID7gQEBAsECgQHBAcEBQQAA/cD7QPhA9EDvwOsA5gDhgN5A3YDewOBA4MDhgORA6YDuQPGA9YD8QQTBCQEFQP1A+ID7gQLBBwEEwP9A+4D7wP5BAMEBwQFA/cD2AOsA38DXwNRA04DSAM1AxQC7QLNArYCowKOAncCYwJSAjsCGwH4AdkBwgGqAYsBaQFKATEBGAD7ANgAswCRAHIAVAA1ABT/8v/S/7X/mf94/1L/K/8F/t3+rP50/j7+Dv3j/bn9jf1f/TD8/PzD/If8T/wd++/7xfud+3f7T/sf+ub6qfps+jX6B/nk+cj5rPmI+Vr5KPj1+Mb4mvhx+Ez4K/gN9+73zPem9373V/cw9w327fbQ9rP2j/Zf9in1+PXQ9an1cPUl9N/0uPSx9Kf0ePQl88/zk/Ny81fzNfMQ8vTy5PLb8tby1vLV8svyt/Kh8pPyh/Jz8lTyMPIQ8fHxzvGo8Ynxd/F38Yvxt/Hz8iTyLPH+8bDxYvEn8QTw8/Dw8PHw7vDl8ODw5vDz8P7xB/EU8SXxMPEo8RfxC/EK8Qbw8vDZ8Mzw0fDZ8NfwzPDF8MXwxfC+8LXwr/Cp8KDwk/CI8IHwf/CD8JLwqvDJ8OrxD/E28VnxdfGR8brx9PI68ory7fNo8/H0d/T09Wz13fYw9lX2YPZ59rH28vcV9xn3Gvcv91H3bveD96L3zvf1+Aj4C/gR+CP4Nfg6+Df4N/hF+GH4i/i/+PT5IPlB+V35fvmg+bv5y/nQ+c75yfnC+cH5yfnX+eP56/nv+fP59fnx+ev56vny+f76CPoQ+hr6LfpM+nj6sPr0+zr7efut+9z8Ffxn/Nj9Xv3p/mn+2v8//5b/3gAWAEkAhADLARMBTQF1AZQBtgHkAhwCWQKXAtIDBAMsA04DdAOlA94EFwRJBHIEmQTDBPIFJgVfBZ0F3gYjBmoGtAb+B0EHeQenB84H9ggjCFsImgjXCQoJNQlhCZcJ0goFCigKRwpqCpQKvgrlCxULUguWC80L8AwCDA8MHww3DFwMkQzPDQYNMQ1WDYQNwQ4KDlkOpA7eDvYO7g7YDskOvw6gDkwNvA0PDHsMOwxoDOMNWg1+DUMM4gymDKkMzwz0DRINNg1cDXcNiQ2oDd4OFQ4qDhwODw4jDlQOhw6sDssO7w8TDysPOQ9FD1gPZw9oD1oPRQ8xDyQPHA8bDyQPOQ9ZD4UPtQ/jEAoQNRB0ENURTRG7EfcR8xHIEaMRpBHDEeMR+BIMEioSSRJZElkSWhJpEnUSbhJZElYSchKYEqgSmRJ/EnESbxJrEmMSXhJiEmgSaRJkEl4SWxJYElESSBJAEjwSPRJAEkASPRI2EjASNxJUEogSxBLlEtQSohJ9EnwSdxIjEWEQWg9HDiUMwAsdCa4JCwlqCmQLVQvaC/8MCgwuDHIMvwzrDNAMagvkC4ALVgtKCysK7AqiCmAKIQnYCYcJPgkECNAImghjCC8H+gfBB4QHSwcXBuUGswaDBlQGHwXhBaUFfAVkBUsFJATwBL8ElwR0BE8EJwP/A9kDsgONA2sDSQMkAvwC1wK3ApkCeAJTAi4CCgHmAcEBoAGEAWYBQgEeAQMA8QDcALwAlgB6AGoAXABFACkAEAAA//T/6P/a/8r/uf+j/4v/d/9q/2P/Y/9o/2//cv9w/2v/ZP9a/0z/Of8h/wT+4v6//qD+i/55/mf+VP5H/kP+Pv4w/h3+D/4L/gv+Bf31/d/9x/2y/aT9nP2V/Yn9dv1m/WD9Y/1g/U/9NP0c/Q79Bvz6/OL8vvyP/F38MvwT+/376PvS+7z7qfuW+4D7aPtU+0X7OPso+xf7Bvr4+uz64PrW+tH6zvrJ+sL6u/q5+rj6tvq0+rX6t/q6+r76xPrO+tj63vri+ub67Prz+vn7APsG+wz7EvsZ+yX7NftD+037U/ta+2X7cft9+4j7lPue+6X7q/uz+777yvvU+9v74fvp+/L7+vwE/Az8E/wY/Br8Hvwj/Cr8L/wy/Db8O/xA/EX8SfxN/FL8Wvxj/Gz8dPx7/IL8jPyX/J/8o/yn/LD8vvzL/NH80vzX/OX8+P0F/Qj9B/0L/Rb9I/0u/Tf9Qv1P/Vn9Xv1i/Wr9df19/YD9gv2H/ZH9m/2i/af9rf21/bz9wP3E/cn9zv3T/dn95P3x/fv+Av4H/g/+Gf4i/if+LP42/kT+Uv5c/mT+a/50/n3+hf6O/pf+o/6t/rb+vv7F/s3+1v7i/u/+/P8I/xH/HP8p/zf/RP9P/1r/Z/94/4v/n/+0/8X/0//e/+v//AAPACIANgBLAGAAcgB/AIgAjwCVAJkAnQCkAK8AvQDHAM0AzwDTAN0A7AD8AQUBBAD/AQQBGwE4AUsBTgFNAVgBbQGAAYgBjwGiAcIB5AH/AhQCKgI/AlECYQJ1ApECrwLLAuUDAgMkA0kDcwOiA9IEAAQpBFEEdASRBKQEtgTRBPcFIQVJBXQFpQXUBfkGFwY7BmsGlgarBqsGmgZhBeMFNwTUBUkGugiuCmgLhAwxDNgNpQ5jDs4O1A6PDhgNfgzgDHQMVgxdDDcLwAsiCq4KiwqdCrQKuAqqCooKUgoECbgJiAl0CWsJXAlKCT8JNgkiCPwIygiYCGcINwgGB9gHrweLB2cHQwcgBvwG1AanBnoGUwYzBhIF5AWmBV8FFgTQBIsESwQZA/cD2QOzA4QDZANkA3gDgQNtA0oDMgMrAyMDBQLWAqoCkAKFAoECgAJ6AlMB7wFWAMAAcgCGANIBCQD7AKsAQP/c/4H/Iv60/kD92P2G/Ur9Gvzw/Mz8rfyV/H/8ZvxO/Dv8N/xD/FX8X/xa/Er8O/w1/Df8Ovw+/Ej8YvyM/L385fz4/PX84/zL/Lf8svzH/P39S/2a/dX99f4H/hv+Nf5S/m/+kv7C/vj/Kv9Q/2//lP/E//UAGgAqACwAMwBRAIYAwwDuAPUA3AC5AKMAogCqAK8AqQCiAKMArgC9AMgA0QDcAO0BAAETASUBPAFYAXQBjwGnAcAB2QHxAgcCHQI1Ak8CaAJ+ApQCrALHAt8C8wMFAxkDMANGA1kDaQN7A5EDqwPCA9UD6AP8BBMEKgRBBFYEawSBBJgErgTDBNkE8AUGBR4FNAVHBVQFYQVyBYgFnAWnBaYFngWYBZcFmAWZBZsFoAWoBbIFuQW9BcEFxQXLBdEF1QXZBd4F5wXvBfYF+wYBBgwGGwYrBjkGRgZTBmQGdwaMBqQGvQbTBuUG9wcNBycHPwdQB14HdgeZB8AH4Af3CAgIGwgvCE0IYAh3CJMItAjbCQgJOglqCZEJpAmaCXMJOQkHCPII/wkcCTIJOQk+CUoJXglsCW4JbAluCXkJhAmKCY4JlgmjCbIJwAnQCeQJ+AoHCg4KEAoSChgKIwozCkYKWAppCnsKmwrKCv0LIgsyCz4LZQuyDBAMVwxuDFoMNwwfDB8MNQxWDHcMkQyfDKcMrQyxDLEMqwyhDJYMjAx/DG8MWQw3DAwL5wvfC/8MOgxuDIkMkgycDKoMqgyLDFUMIwwJDAgMEAwZDCEMKwwyDDMMMgw3DEIMSwxFDDQMMgxhDNANag38Dk4OPw3TDSgMaQvAC0kLAQrSCqQKcQpFCiIJ9AmeCRcIegfuB4oHTQcuByQHKAcvBy4HIQcTBwwHDAcEBt8GkQYbBZYFJATcBLkEpwSUBIEEdARvBGYEVQRFBEIETARcBGwEegSKBJgEoQSlBKcEpgSbBIQEbwRuBJEE1QUqBXUFpAWzBbEFsgW/Bc4F0QXJBcEFxAXNBdEFyQW8Ba8FnwWIBWcFOgUBBMMEiARZBDkEIgQMA/oD8wP3BAAECgQbBDQETwRjBGsEbQRwBG8EaARaBEwEQAQzBCAECwP5A+oD2QPJA8QDzAPXA9oD2gPmBAMEIQQyBDkESgRnBHkEZwQ5BBUEGQQ6BFQEUQQ8BC8ENAQ/BD4ELAQPA+4DzAOsA5IDfwNwA14DSQMwAxgDBAL1AugC2ALDAqwClgKCAmkCSgIqAhAB+wHiAcABmgF5AWABRwEpAQUA4QDBAKUAiQBqAEcAJQAH/+z/0P+w/43/av9I/yL+9P6//ov+XP4z/gn92/2q/Xf9Qf0H/Mz8lvxn/Dz8Ffvv+8f7l/te+x/64vqs+n76V/o3+hn59/nM+Zj5Y/ky+Qb43fi2+JP4dPhW+Df4Fffw98j3nPdw90n3LPcY9wj28vbP9p/2a/Y59gf1x/V19SX08PTg9Nv0v/R/9C/z7vPE86PzevNK8yLzDfMN8xjzIvMg8w3y7vLS8sLyuPKm8obyYPI+8iDyAfHc8bjxm/GQ8Z3xxPH78iLyIfHz8bDxc/FH8SfxDvD98PTw7vDp8Onw8PD58P3w/fEC8Q3xFPEP8QXxAfEF8QLw8fDZ8MvwyvDL8MfwxPDH8Mvwx/C78LDwqvCl8Jzwj/CH8IXwg/CB8ITwkvCq8Mnw7PET8TrxW/F48Zrxw/Hy8inydPLf82Xz9/SF9Qb1bfWn9bb1vPXo9kL2ovbY9uH24/b/9y33UPdk93r3offL9+L35vfo9/P4APgF+AP4A/gL+Bn4MfhX+I34xvjz+RH5KPk/+Vb5Zvls+W35cvl/+ZT5rPm/+cb5wPmz+ab5nfmY+ZT5lPmY+Z/5qPm0+cj55foN+kD6fvrE+wn7Rft6+7P7//xo/Or9c/30/mT+xP8X/1//nf/XABcAYACtAPEBKAFVAX4BpQHJAe4CGwJTApECyQL1Ax0DTQOKA8wEBgQ0BFsEgQSsBNwFEgVQBZMF1gYYBl0GpwbxBzEHXQd9B50HyAgACEIIhQjACOoJCgksCVsJlAnICfEKFQo/CmwKkgqzCtsLGAtgC50LwQvPC9cL4wv3DBkMTQyQDNMNCg02DWINlw3XDh0OYQ6VDqsOoQ6JDnoOcw5VDf8Nagy9DDUMAgwrDIkM2wz0DNQMoQyBDH8MjQykDMsNAg03DVoNdA2cDdcOBw4NDfAN3A3xDiYOVw51Do4Osw7gDwQPFw8dDyEPJg8mDxwPCw71DuEO0w7TDuEO+g8dD0wPhA+6D+UQBRAzEI0RFxGpEgISARG9EXkRaBGIEbMR0BHkEf4SHRIxEjcSPRJMElYSShIyEi0SShJzEoUSdRJWEkISOxI0EisSJxIvEjoSQBI/EjsSORI3EjISKxImEiQSJRIlEiMSIhIhEiUSNBJZEo8SwRLOEq0SfRJmEmcSSBHJEOMPzg61DYIMDwp9CVEJBgmgCqILeQvpDA0MGAwqDEwMegycDIoMMgu4C1kLMQsiCwAKwwqBCkcKCgm7CWUJHgjrCL8IjghYCCUH8ge6B30HRAcRBuAGrQZ9BlEGIAXlBakFfgVmBVAFKQTzBL8ElQRxBEoEIgP7A9YDrwOGA2ADPwMdAvYCzgKqAosCaQJEAh8B/QHeAb4BnQF8AVoBOAEaAQMA8QDbALwAmQB/AHAAYgBOADQAGgAG//f/5//U/8D/rf+a/4n/eP9q/1//XP9f/2P/Zf9i/2H/Yf9f/1X/Rf8w/xf+9f7M/qP+g/5t/lr+SP45/jD+KP4d/g7+Av38/fj98v3n/df9xf2y/aL9l/2P/YL9bf1W/Uf9Qf08/TL9I/0W/Q79Cf0A/O38zPyf/G38Q/wm/BH7/Pvl+9H7wPuu+5X7ePtf+037Pvst+xn7Cfr9+vH65PrZ+tL6z/rL+sX6v/q8+rv6uvq5+rn6ufq5+rn6vfrG+tD62Prd+uH65/rt+vT6/vsK+xT7Gvsf+yn7N/tF+077U/tY+2H7bPt3+4T7kfue+6f7rvu1+7/7yvvS+9f72/vh++j77/v3/AD8CfwP/BL8FfwY/B38IPwi/Cb8LPw0/Dv8QfxH/E38VPxb/GP8a/xx/Hf8fvyH/I/8lfyZ/J/8qfy0/Lr8vvzE/ND84Pzs/PH88vz4/QP9D/0Y/SD9LP06/UX9Sv1M/VH9Wv1i/Wj9bP1z/Xz9hv2M/ZL9mv2i/an9rf2z/br9wP3E/cf9zf3X/eL96v3w/ff9//4H/g3+Fv4i/jH+Pv5I/lH+W/5l/m3+dP58/ob+kv6c/qX+rf60/rv+wv7M/tn+5/70/v7/Cf8X/yb/M/89/0j/Vv9m/3j/jP+i/7b/x//U/+P/9AAHABgAKgA+AFMAZQBwAHYAfACDAIkAjQCTAJwApwCuALAAsQC2AMEA0QDfAOgA6gDuAPsBEwErATcBOAE8AUwBYwF3AYUBlgGyAdMB8QIHAh0CNQJJAlUCXwJxAo4CrwLPAu4DEAMzA1MDdAOeA9AEBgQ1BFsEeQSPBKAEsgTQBPkFJQVQBX4FrgXbBfwGFgY4BmQGiQaYBpEGdAYsBaQFBwTSBYIHIQklCt8MBQzNDYUONw6tDsYOlA46DbwNGAx2DB4MKgxaDEULvgr5ClQKAAnwCgMKIgo+Cj8KFgnRCZYJggmKCY4JeglYCTcJHAj9CNYIqAh6CEoIFQffB60HhQdmB0oHLAcNBuoGxQabBnAGRwYhBfsF0AWcBWEFIgTgBKAEZQQ2BBID8QPIA5wDfwN9A4sDkQN+A1wDQQMyAx4C9QK5AoECYAJcAm0CgAJ2AjIBrgERAKAAiwDIARQBKgDwAH8AAP+Q/y7+0/55/iL90f2I/Ur9Gfz2/N78zfy+/K78nPyI/Hb8bvxz/ID8hvx8/Gb8U/xM/E38TvxM/FP8cPyg/NT8+P0F/QL8+vzy/Or85vzx/RX9Uf2W/dP+Af4k/kT+Y/6A/p3+wP7t/x7/TP9w/5H/t//jAA4ALAA6AD8ASwBpAJkAzwD2AQQA+QDmANoA2QDfAOAA2QDRAM8A1gDhAOsA8gD7AQkBGgEsAT8BVAFuAYoBpgG/AdcB7gIGAh8COQJTAm4CiAKfArUCzQLlAvwDEAMjAzkDTwNkA3QDhAOXA64DyAPgA/QECAQeBDYETwRmBHwEkQSlBLgEyQTaBOwFAAUTBScFOgVLBVkFZgV3BY0FowWuBa4FqAWlBagFrgWwBbEFtQW9BcUFyAXHBccFyAXMBdAF0gXWBdsF4wXrBfIF+gYEBhEGIQYwBj0GSQZWBmYGeQaPBqgGwQbZBu8HBAcaBy8HQAdOB2AHeQeaB7sH2AfwCAgIIQg4CFQIbAiECJwIuAjfCRMJSgl6CZgJoAmOCWAJIgjvCOEI+wkmCUEJRwlGCU8JYQlsCWoJZQlqCXoJigmSCZcJnwmtCb0JzAndCfEKBQoRChUKFAoWCh0KKAo3CkkKWQpoCngKkwq9Cu4LEwsmCzMLVAuaC/cMRwxvDGcMRQwhDA8MFQwuDFEMdAyUDLEMzQzkDPEM8wzvDOkM4QzVDMIMpQx8DEsMHgwKDBsMSQx6DJsMqQyvDLAMowyADFAMKwwhDC0MPgxGDEoMUgxgDGsMbgxsDGoMZwxgDFkMagytDSUNtg41Dn8Ogw48DbMNBAxWC88LcwsxCvMKuQqJClsKFgmjCQ8IfQgLB7sHhAdgB1IHVgdcB1kHUgdRB1oHYQdSBx8GxgZNBcoFWwUVBPME4ATLBLYEpwSfBJUEhwR+BIEEjgSZBKAEqgS6BMkE0ATTBNoE5ATlBNgEygTTBQEFTQWjBeoGEgYcBhcGFQYhBjAGNQYsBiAGGQYWBg4GAAXyBecF2QW9BZQFZAUyBQME2AS1BJkEfwRjBEsEQQRFBFIEYQRzBIwEpwS8BMoE0wTZBNgEygS2BKYEngSSBH0EZgRWBEkENwQhBBYEHgQvBDYENgRBBGIEiwSkBKoEswTHBNMEugSFBF0EYgSJBKgEowSGBG8EagRpBFkENgQNA+gDzAO7A7ADpQOTA3kDXANGAzgDMAMoAxsDCALxAtgCwgKsApQCeAJbAkMCKwIQAe4BygGsAZQBegFaATYBEwD2ANoAvACbAHoAWgA8AB8AAf/i/8P/pP+F/2L/N/8I/tn+rf6B/lP+I/3w/b39h/1P/Rf84/y0/In8Yfw5/Av71PuW+1j7I/r3+tH6rvqM+mj6PvoL+dP5n/lx+Uj5Ivj++N34v/ig+H34V/gv+AT31vep94P3aPda91T3Tfc69xb24/aq9m32KPXW9YL1QvUm9R/1DPTb9JX0VPQl8/7zz/OY82vzV/Ne83HzevNu80zzIfL/8u3y4fLO8q/yjPJu8lTyN/IR8ebxv/Go8avxyfH28hLyCPHZ8Z7xbfFN8THxFfD88Ozw5/Dp8O/w9/D88Prw9fD18Prw+/D18O3w7vD18PXw6fDa8NLwz/DI8L3wuvDC8MnwxPC08KjwpfCj8JjwivCD8IPwg/B+8H3wh/Ca8LLwzfDw8RnxQvFn8Ynxq/HM8e3yG/Jp8uDzdvQZ9LD1HPVH9Tn1J/VN9bn2N/aK9qL2qvbK9wD3LPdA90z3ZveJ96T3r/e19773xffF98P3yPfS99j33Pft+Bj4VviP+LT4yPjZ+O74/vkE+Qn5GPk7+Wv5l/mw+bD5nvmF+XP5bPlv+XT5dflw+Wr5Z/lw+Yb5qfnX+g36TPqO+s77CPtE+4378Pxq/PH9cf3i/kP+mv7m/yf/YP+c/+MAMwB/ALwA7wEjAV0BkwG4AdEB6wIVAksCgQKxAuIDHwNoA7ID8QQjBE8EeASgBMoE/AU7BYUFzQYQBlMGnQbpBygHTQdjB3wHqAfmCCoIaAiaCL4I2wj8CScJWgmNCboJ6AoaCkoKbgqKCq4K6AsuC2cLhwuTC50LrAvBC+EMFAxaDKgM6w0fDU4Ngg3ADgEOPA5kDm4OWw5BDjcOOA4fDcUNJgx0C/QLzAv0DDkMbQx9DHUMZwxfDFkMWgxwDKYM7Q0oDUgNXg2FDbsN3w3WDbENnw28DfYOKQ5EDlgOdw6kDswO4w7rDusO6Q7lDtoOyA6wDpcOiA6IDpgOsw7YDwsPTA+PD78P2A/3EEQQyxFoEdQR4BGfEVYRPRFYEYIRnhGwEccR5RH9EgwSGhIuEjoSMRIaEhISKBJKElkSShIuEhgSDhIGEf8SABIJEhMSFRIREg4SDhIOEgsSCBIJEg4SERIOEgoSBxILEhcSMxJiEpkSuxKwEoISWBJNEkYR/RFFEDoPHw4JDNELWgnmCQQJFAnlCuMLlgvpDAoMHAwlDCoMNwxHDDgL8AuHCzQLDwr8CtYKlwpZCiQJ6wmeCUoJBgjYCK4IfQhJCBkH6ge1B3wHRAcSBt0GpwZ1BksGIAXpBa8FhQVvBVsFNQT/BMgEnQR3BE4EIwP7A9YDrAN+A1MDMgMUAvECyQKiAoACXgI5AhMB9AHbAcEBoQF6AVMBMgEZAQQA8ADYALsAnwCIAHgAaQBUADsAIgAO//7/7P/V/7z/pv+W/4r/fv9w/2H/Wf9Z/1r/WP9W/1j/Yf9n/2P/Vf9C/yv/Df7j/rT+iv5r/lT+P/4u/iL+GP4N/gD98v3n/dz90P3F/bv9sf2k/Zf9jf2H/X79bv1Y/UH9L/0h/Rf9D/0I/QL8+/zv/Nz8v/yZ/HH8Uvw9/Cr8Evv5++T71vvF+637jvty+1/7Tvs8+yn7GvsP+wT69vrp+uD62/rX+tD6yvrF+sL6wPq/+r76vfq7+rr6vvrF+s760/rY+t365Prs+vb7A/sS+yD7KPss+zT7QPtN+1T7V/tZ+1/7Z/tv+3r7iPuW+6H7qfux+7r7xPvL+8770fvV+9z74vvo+/D7+fv//AP8BvwJ/A38D/wR/Bb8Hvwn/C/8N/xB/Er8UfxW/Fr8X/xk/Gn8bvx1/H78hvyN/JP8m/yj/Kn8rfyy/Lz8yfzV/N384/zr/PX8//0F/Qv9Ff0i/S79Nv05/T39RP1M/VL9WP1e/Wb9bf10/Xz9hv2P/Zb9m/2h/av9s/23/bj9u/3C/cz91f3e/ef98P34/f/+CP4V/iT+Mf47/kP+Tf5Y/mH+aP5w/nv+h/6Q/pb+nv6n/q/+t/6//sv+2f7k/uz+9f8B/xD/HP8n/zP/Qv9T/2T/d/+N/6P/t//I/9n/7QABABMAIwA0AEYAVwBgAGYAbABzAHwAgwCKAJEAlgCXAJUAlQCcAKkAtwDAAMUAzQDbAPIBCQEXARoBGwEkAToBUgFlAXYBjwGyAdUB7wICAhcCMAJGAlQCYQJ2ApQCtwLbAwEDKANMA2cDgQOlA9UEBwQwBEwEYgR4BI8EqwTQBPsFKQVWBYQFtQXgBgAGGgY7BmEGfQaCBnIGSQXzBWQE1QTFBaAHVglbCxgMWA1JDhQOpg7UDqUOTw3uDW4MwwwiC98MDwxYDDwLkgqgCdUJbAleCYYJwwn1CgAJ2QmeCX4JjgmzCcEJpQltCTIJAQjZCLUIkAhnCDMH9we7B4oHZwdMBzMHFwb5BtkGuAaVBmwGPwYQBeIFuAWMBV0FKATwBLgEhARWBC0EBwPeA7gDnAOSA5QDkgOBA2UDRwMqAwMCywKHAksCKAImAj0CVAJGAfoBegD7ALoAzAEOAT0BKQDTAFf/1P9b/u7+kf5H/gn9zP2K/Uv9Hf0E/Pn88Pzi/ND8vvys/Jz8kvyR/Jb8lPyF/Gv8WPxS/Fb8WPxU/Fb8a/yT/L/84Pzz/QD9D/0c/SP9Jf0p/T39Zv2h/eP+JP5a/oH+nf62/tX+//8u/1n/ev+T/67/z//zABEAJAAuADcASQBpAJMAvgDfAPEA9wD5AP0BBQEMARABDQEJAQcBCgEPARIBFwEgAS8BQgFTAWMBcgGFAZ8BvAHXAfACBwIgAjwCWgJ3ApICqgLBAtkC8QMIAx4DMwNIA14DcgOFA5UDpgO7A9QD7QQDBBcEKQQ9BFQEawSBBJcErAS/BM8E3QTsBP0FEAUjBTcFSgVbBWoFdwWHBZsFrQW3BbcFtQW4BcAFxgXGBcMFxQXKBc4FzAXHBcUFyAXMBc8F0QXUBdoF4QXpBfEF/AYKBhgGJAYwBjsGSQZYBmkGfAaSBqwGxgbgBvgHDgcgBzAHPwdRB2gHggeaB7AHyAflCAQIIwg9CFUIegicCLIIwgjcCQcJOQlkCYAJjAmGCWYJLgj4COEI9gkfCT0JRAlCCUkJWAljCWIJYQlrCX8JkQmaCZ8Jqgm5CckJ2AnoCf0KEAoaChsKGgodCiMKKwo1CkEKUApfCm8KhgqsCtsLBQsfCzALTwuPC+gMPgxxDHYMVgwsDAsMAAwLDCUMSQxyDJ8Mzgz+DSYNQA1KDUQNNg0hDQcM6AzCDJgMcQxYDFcMbQyMDKgMuQzCDMQMuAyaDHUMWQxWDGIMagxmDGIMcgyXDLwMzAzDDK0MmAyKDI4MtQ0MDYUN/Q5TDnsOeA5IDeANRAyXDAcLpgtkCycK6wq0CnkKIgmiCQ8IjggxB/EHwQeiB5gHngeeB5MHiQePB58HpAeKB04G8waCBgYFlwVNBSkFFwUEBO4E2wTOBMMEugS5BMME0ATWBNgE4QTyBQEFBwUNBR4FNwVFBT8FMwU/BXIFwwYZBl4GhQaRBo4GjQaWBqAGngaOBngGaAZcBk8GPgYvBiMGDwXrBboFiQViBUQFKgUSBPgE2gS5BJ4EkwSXBKQEsgTEBN0E/AUVBSYFMQU3BTMFIwUQBQUFAgT4BOIEyAS5BK8EnwSHBHgEgASTBJwEmwSjBMcE+AUbBSYFLAU3BTkFGwTkBL4ExQTqBQEE8QTIBKUEkgSABGIEOgQTA/UD4QPVA84DxwO4A6EDiQN6A3IDawNdA0oDNAMfAwkC8wLbAsICpwKLAnECVwI6AhsB/QHiAcgBrAGLAWoBSwEvARAA7wDNAK4AkQByAFAALgAQ//f/3f/A/5z/df9N/yT++P7J/pj+Z/42/gT90P2a/WX9M/0E/NX8p/x5/Ef8DvvQ+5j7bPtJ+yr7B/rf+rT6gvpK+hD53Pmx+Yv5Z/lF+Sf5Cvjo+MD4lPhm+Dr4Dvfl98L3qfeb95f3mfeV9373UfcV9tX2k/ZJ9fn1tPWI9XT1X/U19Pb0tfR/9E70GvPk87nzqPOv87zzvPOl833zUvMz8yLzFPL88tvyuvKg8onyavJD8hfx8PHV8c7x3PH18gPx8/HF8ZDxZ/FN8TbxG/EB8O/w6fDt8PTw+/D98Pvw+PD28PHw5/Da8NXw2/Dj8OLw2fDU8Nfw2PDL8LnwsvC78MXwvvCs8KHwoPCf8JPwgvB48HnwefB18HXwgfCV8Kjwu/DX8QDxL/FZ8X7xovHA8dbx7fIc8nfzAfOr9Fj02/UR9Pn0yvTP9Sr1s/Yj9ln2cPaS9sn2+fcN9xL3H/c791r3c/eF95L3lfeM94T3iPeV95v3lfeV97P37Pgp+FT4bPh/+JP4nvid+Jz4tfjw+Tz5e/mW+Y75cvlW+Un5Tfld+W35c/lp+VX5Q/k/+VD5dPml+d76GvpX+pH6y/sO+2f72fxd/OD9U/21/g3+Yv6v/u7/JP9e/6f/9wA8AG8AmQDPARUBWwGOAawBwwHlAhUCSgJ+ArUC9gM/A4cDygQHBEIEdgSeBL8E5gUhBW4FvAYCBkQGjAbYBxcHOgdLB2EHjgfMCAwIQAhnCIoIrAjRCPoJJQlQCX0JsQnpCh0KRApiCogKvwr+Cy8LSAtTC2ILdwuRC7ML6Qw1DIgMzw0DDTMNbA2wDfQOKA5BDjoOHg4DDfkN+A3XDXEMzAwjC7ULnwvGC/YMEgwYDBsMIAwiDB8MKAxRDJsM5w0WDSMNLg1QDYINnQ2ODWsNYA2EDcIN9w4VDikOQw5mDocOng6rDrAOrQ6iDpAOew5kDlAORw5NDl8OeQ6bDs4PEg9ZD40Ppw/BEAMQexEIEW8RhRFaEScRGREzEVYRbRF7EY8RqxHFEdkR7xIIEhoSGRIMEgYSEhIlEioSGxIDEfAR5BHdEdsR4BHqEe8R6xHkEeMR5xHpEegR6BHuEfgR/hH9EfcR8hH1EggSMBJqEp8SsBKRElwSOxI1EhcRmRCoD3wOWQ1EDAgKmQlUCMkJMAovCyULswvqDAQMFwwYDAsMCAwTDAgLxgtgCwwK5grVCq8KbwotCfgJwgl+CTQI+AjJCJwIaAg1CAoH4QewB3kHRAcQBtcGmgZlBj4GGAXnBbEFiAV0BWMFPwUIBNAEpAR9BFMEJgP8A9YDqwN5A0oDKAMMAu0CxQKdAnsCWQIyAgsB6wHWAcEBogF6AVIBMgEaAQUA7gDWAL0ApwCTAIEAbQBWAD4AJwAUAAP/8P/Z/7//qP+a/5L/if97/2r/Xf9Y/1b/Uv9P/1T/Yv9v/3D/ZP9R/zz/If77/sz+nf53/lr+Qv4t/h3+EP4C/fT95f3X/cj9uf2r/Z/9lf2J/Xz9cv1t/Wn9Yv1T/T79J/0T/Qb8/vz5/PH85PzT/L38pPyH/G78XfxR/EH8KfwN+/b75vvW+737oPuI+3b7aPtX+0b7OPst+yH7EvsD+vn68frq+uD61vrP+sr6xvrE+sP6w/rC+sL6xfrK+s/60/rY+t/66frz+vz7CPsX+yb7L/s1+zz7SPtT+1n7Wvtb+177ZPtr+3P7f/uL+5X7nPul+7D7u/vD+8X7xvvK+8/71fva++D75vvs+/L79/v7+/78APwE/Av8FPwb/CL8Kvw2/EP8S/xO/E78UPxU/Fj8XPxj/Gz8d/yA/If8jvyV/Jv8oPyk/Kr8s/y//Mn80/zd/Of87/z2/Pv9Af0K/RX9Hv0m/Sv9Mf03/T79Rf1K/U/9VP1b/WT9b/14/X/9hf2N/Zf9of2m/aj9rP2y/bz9xv3R/d396P3v/fT9/P4I/hj+Jf4u/jT+PP5H/lH+Wv5l/nL+ff6D/oj+jv6Y/qT+rf62/sD+y/7U/tv+4v7t/vn/Bf8P/xr/K/8+/1L/Zv96/4//ov+2/8v/4//9ABIAIQAuADwASABRAFcAXgBoAHIAewCCAIgAigCHAIIAggCJAJYAoAClAKoAtgDNAOgA+wEAAP4BAgESASwBRAFVAWcBggGoAcwB5gH4AgsCIwI6Ak0CYQJ8Ap0CwQLlAw0DNQNXA28DhwOpA9UD/wQbBCsEOwRUBHYEngTLBPsFKgVWBYMFsAXXBfYGEwY1BlYGaAZlBk4GHAW5BSMEoAStBaUHZglnCyYMfw2NDl0Oyw7FDnUOGw3BDToMeQvIC44L1QwrDAULQgo9CXAJFwkeCVYJlQm+Cb8Jngl9CYMJrwncCeEJtAlsCSQI6gjACKEIhAhdCCQH4gekB3YHVgc7Bx4HAAbjBskGrwaQBmkGNwYDBdIFqAWCBVoFLAT9BNAEpQR5BE4EJAP7A9UDtQOeA48DhAN1A18DPwMUAtsClwJSAhkB9QHpAfEB+gHnAagBTQEBAOwBDgE7AUQBFQC6AEn/zf9M/tH+cf4w/gH9zP2L/Uv9IP0S/RP9Ef0C/Ov81PzA/K/8pPyg/J/8l/yB/GL8S/xF/Ev8U/xW/Fv8bPyJ/Kv8zPzq/Qn9KP1C/VL9W/1k/Xf9mv3T/h3+bP6r/s/+3v7u/xH/Sf+B/6b/tf+5/8T/2v/3ABEAIgAuADwAVQB3AJ0AvgDWAOcA9QEGARgBKAE0AToBOwE8AT0BQQFEAUYBSgFSAWEBcwGCAYwBlAGhAbcB1AHyAg4CJwJCAmECgQKfArgCzgLkAvwDFAMqAz8DVANqA34DkQOjA7QDyAPeA/cEDgQjBDYERwRZBGsEfgSSBKYEuwTOBN4E7AT8BQ4FIwU5BVEFaAV9BY0FmgWoBbgFxQXKBcgFxgXLBdMF1QXPBckFyQXMBc0FyQXEBcUFzAXSBdQF1QXZBd8F5gXsBfQGAAYPBhoGIwYrBjcGSAZZBmsGfQaTBqwGxwbjBv0HFAckBzIHQgdZB3MHiAeXB6gHwQfjCAQIHgg3CFQIjQi/CNcI2wjfCPIJDgksCU4JdAmTCZEJYAkYCOUI4gkDCSYJNQk2CTkJQwlLCU4JUglgCXUJiAmVCZ8JrQm+Cc4J3QnuCgMKFAodCh4KHgoiCicKKgotCjQKQgpTCmQKegqcCsoK+QsbCzMLUguMC94MNAxtDHoMYgw4DBIL/Qv9DBEMMwxbDIgMvQz8DT8Ndg2RDYwNcw1TDTMNFwz8DOIMyQyyDKMMnwyoDLcMyAzWDN0M1wzBDKMMjgyKDJAMiwx5DG8MiQzKDQ8NMA0jDPsM0wy/DMgM/A1aDcoOIQ5FDj4OJQ36DaUNHAx7C/MLnwtuC0ALBwrGCnsKFAmQCQYIlwhPCCEIAAftB+wH8QfpB9IHwQfGB9UH0wexB3MHIga9BkgF1gWDBVoFSgU7BSgFFAUGBPwE9wT7BQYFEAUTBRUFHwUwBT0FRQVRBW4FkQWlBaEFlwWpBeQGOgaQBtIG+QcHBwcHBwcNBxAHBAboBsgGsQahBo8GeAZhBksGLgYEBdMFqwWSBYMFdQViBUsFLwUQBPcE6wTtBPYFAQUSBS0FTQVoBXcFfwWDBYIFeAVsBWYFZAVaBUEFJgUXBRMFCwT5BOwE8QUBBQkFBwURBTcFbAWSBZ4FngWgBZcFcgU9BRoFHwU4BT8FIwT1BM8EtASWBG4ERQQmBBIEAgP1A+wD5wPfA9ADwQO4A7IDpQOQA3kDZQNWA0MDKwMOAvIC1wK8AqEChQJoAksCLwIUAfcB2QG5AZwBggFnAUcBIwEBAOUAygCpAIIAXgBCAC4AF//5/9X/sf+P/2v/P/8N/tv+rf6A/lD+HP3n/bT9hP1T/SD86/y4/IP8TPwT++L7vPuf+4H7W/sv+v36xvqL+lH6Hvnz+c/5rvmP+XL5Uvks+P/4z/ih+Hj4Uvgv+A/38/ff99f32PfY98r3pPdu9zX2/fbB9nn2MPX29dD1sfWH9Ur1BfTB9IT0S/Qa8/jz6PPl8+Pz1vO885vzfvNs82HzUfM18xHy8fLX8rvyl/Js8kXyJvIR8gTyAfIE8gTx8fHK8Z3xd/Fe8UjxL/EV8QTw/fD98QDxAvEE8QfxCfED8PHw1/DD8MPw0fDZ8NDwwfDA8Mzw0/DF8K3wpfCy8MDwuvCk8JTwkfCP8ILwcfBq8GzwbvBr8G3wfPCT8KbwtfDN8PPxH/FH8Wzxk/G38c/x3fH08i7ymPMu8930ffTc9OD0qPSC9K/1KvWz9hL2RfZt9pz2xfbY9tr24Pb49x33Qvdg93T3dfdl91T3UPdb92X3Yvdg93P3n/fU9/34G/gz+ET4Q/gz+C34Uvim+Qn5UPlk+VD5Mfkd+Rz5K/lD+Vr5ZPlZ+T35HvkO+Rn5Pvl0+bD57Poj+ln6kvrZ+zf7rvwz/LP9IP17/dH+Jv5z/rH+5P8c/2L/rf/qABAALgBcAKMA9AE4AWYBiwG0AeoCJwJjAp0C1wMSA08DkwPiBDYEfwSuBMYE3AUHBU0FnAXlBigGbQa1BvEHFAcmBz4HbAerB+YIEwg2CFoIggirCNAI8QkUCT0JcQmqCeAKDAoxClwKkwrMCvULCQsTCyALNQtTC34LwAwYDHMMuwzsDRcNUQ2aDeAODQ4aDgkN6w3RDcANpQ1gDOEMQgu7C3oLfgugC7cLugu5C78LyAvKC84L7Qw0DJAM1gzsDOAM3Qz9DS8NTA1EDS4NLw1VDY4Nvw3iDf0OGQ4zDkgOWQ5oDnIOcA5hDksONQ4kDhoOGg4mDjkOUA5uDpsO2Q8aD0sPag+ND9IQPBCtEPkRChD0EOIQ6xELESwRQBFPEWIRfBGUEasRwxHdEfAR9hH1EfgSAhIIEgER7RHVEcIRtBGtEbARvBHIEcsRxRHAEcMRyhHOEcwRyxHREdwR5hHoEeUR4BHkEfsSLRJtEp0SnxJ0EkASJhIcEd8RLxARDskNlAxuCykJ0gjTCKgJXQp3C1wLzQv1DAsMGQwPC/oL+wwSDA4LxAtKCuIKswqkCocKSwoFCcgJkglXCRsI5gi2CIMITQgeB/gH0AeeB2gHNAcBBsYGhAZOBisGDQXgBaoFfwVsBV0FPQUHBM4EogR8BFMEJgP7A9UDqwN7A0wDKAMKAukCwQKZAngCVwIwAgYB4gHKAbYBmwF3AVIBMwEaAQMA6wDUAMAArgCaAIQAbgBXAEEALQAZAAf/9P/e/8f/s/+m/5//lv+H/3P/Yv9Z/1X/Uf9Q/1b/ZP9z/3X/av9X/0L/Kf8H/tv+rv6H/mf+TP41/iD+Df36/ej92f3M/b/9r/2d/Yv9e/1s/V39Uf1J/UX9Qv07/S/9Hv0L/Pz88vzp/N78zvy8/Kj8k/x//G/8Zfxd/E78N/wd/Af79fvh+8n7sPuc+4/7g/t1+2X7VvtJ+zv7Kvsc+xD7Bvr5+uv63/rW+tD6y/rJ+sn6yfrJ+sj6yPrL+s/60/ra+uT67/r4+v/7CPsV+yT7MPs3+z77SPtS+1j7W/te+2P7aPtu+3X7f/uI+4/7lPuc+6j7tfu/+8L7w/vE+8j7zvvS+9b72fve++X77Pvw+/P79fv8/AX8DvwT/Bb8HPwn/DX8PvxA/ED8QfxF/Er8UPxX/GD8afxy/Hj8fvyG/I38lPyY/Jz8ovyr/Lf8wvzM/NT83fzl/Oz88Pz0/Pz9Bf0P/Rf9Hf0i/Sn9MP02/Tr9Pv1D/Uv9VP1d/WT9bP12/YL9jP2S/Zj9nf2l/a79uP3D/dD92/3i/eX96v32/gf+Ff4d/iD+J/4x/j7+Sf5W/mP+bv50/nb+ev6E/pL+nf6m/q7+uP7D/sz+1f7f/ur+9P78/wb/F/8t/0T/Wf9s/33/j/+h/7j/1P/yAAwAHQAoADEAOABAAEcAUABbAGYAbgB0AHgAegB4AHUAdgB9AIgAkACXAKAAsADHAN0A6gDsAOwA9gELAScBPwFRAWIBfAGgAcMB3gHyAgMCFgIqAkACWAJ3ApoCvgLjAwoDLQNIA14DdwOcA8gD6wQABAoEGgQ2BF4EjQTABPMFIwVQBXoFnwW+BdoF+gYdBjsGRwY/BiYF8AWEBOwEdwSkBbkHhQmBCz0Mng2zDnMOvQ6VDjwN7A2SDPMMCws/CwILVAuxC48K1gnrCUQJDAkhCUwJbAl4CXMJbgl9CasJ3wn1CdcJkglFCQIIzwipCI0IcghLCBEHzgeTB2gHSQcqBwgG6gbTBsAGrQaQBmYGMgX8Bc0FqAWHBWMFOgUSBO4EywSmBHwEUAQlA/kD0AOsA5EDgANzA2ADPQMIAsQCfgI/AgwB5AHGAbIBogGHAVoBJwEJARIBMwFIATcA/wCxAFL/3v9Y/tX+cf41/gn90v2L/Uj9If0b/SX9KP0a/QH85vzP/L78tfyx/K78ofyF/GD8QPwz/Dj8RvxV/GX8ePyQ/Kz8zfz0/R39Q/1e/XH9gv2Z/bj94/4h/nL+yf8K/yf/Kf8y/1r/nP/c//3/+//q/+D/6QABABwANABHAFsAdwCZALwA2ADqAPcBBgEcATgBUAFgAWUBZQFkAWcBbwF4AYEBiQGRAZsBpgGwAbYBvAHGAdkB9QIUAjECTQJqAogCpwLEAtwC8AMFAxsDMgNHA1sDbwODA5cDqgO8A9AD5QP7BBAEJQQ6BE4EYQRzBIMElASnBLoEzgThBPEFAgUUBSkFPgVVBW4FiAWgBbMFwQXPBdsF4wXiBdsF1wXZBd4F3AXUBc0FzQXPBc4FyAXFBcoF1AXaBdoF2gXfBecF7gXzBfkGBAYRBhsGIQYqBjgGSgZcBmwGfgaSBqkGwwbeBvkHEgclBzUHRgdcB3IHhAeTB6kHygftCAYIFQgqCF0IpQjhCPwI/AjyCOsI6gj2CSIJcAnACd0JqglDCOcIyAjiCQwJJgkrCSkJKwkvCTQJPQlNCWIJdgmHCZcJqQm7CcsJ2gntCgMKFAocCh0KHgoiCiUKJAoiCicKNQpJCl0KdAqUCsAK7wsWCzELTgt/C8cMFAxODGMMWAw7DBsMBAv/DA8MLgxRDHQMoQzjDTkNiQ23DbgNmg10DVMNPA0pDRsNDQz8DOgM1gzPDNQM3wzrDPEM7QzcDMQMswyxDLUMqwyQDIAMnQzrDUINcQ1mDTYNBwzvDPkNLA2DDd8OFQ4QDeMNsQ2BDToMxww+C80LjgtrC0MLAwqyClEJ3AlXCNsIhghbCEcIOwg3CDsIOggnCAcH8gf3CAYIAQfeB6UHXQcABosGEwW5BYsFewVwBV8FTgVEBT8FPQVABUgFTwVTBVcFYQVuBXkFgwWaBcAF5wX5BfUF9QYYBmEGvQcPB0oHbAd6B3sHewd+B3oHZQc+BxUG+QbnBtEGsgaMBmcGQQYXBfAF1QXJBcEFtQWkBZEFfQVlBU8FQgVCBUkFUgVhBXkFlgWsBbgFvgXGBc4FzwXJBcQFwAW0BZwFggV2BXUFcwVoBV0FXwVpBXEFdgWIBbMF4wYABgAF9QXpBdQFqgV2BVYFVwViBVgFNAULBO4E1gSzBIQEXARGBDsELwQgBBYEEwQQBAYD+gPxA+oD2wPEA6wDmwOOA3sDXwM/AyEDBwLuAtICtgKZAnwCXwJCAiUCBgHnAcwBtAGbAXsBVgE0ARkBAADfALkAlQB7AGcAUQAyAA//7//R/67/gv9Q/yD+9/7N/p7+af4z/gL90/2h/Wr9Mfz7/Mb8kvxe/DL8Dvvw+8/7p/t3+0L7CvrR+pn6Z/o8+hj5+fnc+b35mflt+Tv5Dfjl+MT4pfiE+GP4Qvgo+Bf4EfgN9/332/eu94H3V/cn9uj2n/Zc9ij2APXT9Zf1TfT/9Lj0gfRc9Ef0OfQp9BTz+vPf88fztfOr86LzkfN181HzLvMP8uvyvfKN8mbyT/JA8jPyJfIc8hLyAPHi8b7xnfGC8WbxSfEu8R3xF/EV8RTxEvET8RrxHvET8PPwyvCy8Lnw0PDV8L3wn/CZ8K7wvfCx8JXwjPCf8LTwsPCX8IHwefB18GjwWvBZ8GLwaPBk8GXwdPCN8KLwsvDI8OrxEPEx8VLxefGj8cHxz/Hb8fryO/Kl8zvz7PSB9L/0m/RW9Ez0qfVC9c/2JvZV9nj2l/ap9q32s/bI9uz3Ffc49073UfdC9yz3Ivcp9zf3QfdH91X3cfeT97T30ffo9/L35ffN98/4Cfh0+N/5GfkY+Pn44fjh+PH5Bvkc+TD5Ovkw+RH46vjU+Nz5BPlA+YD5vPny+ib6X/qm+wT7efv8/Hr86f1G/Zv97P41/nD+oP7V/xb/Wf+N/6r/wf/oACsAfgDMAQsBQAF4AbkCAgJJAocCuwLpAx0DZwPKBDkElwTMBNgE2ATrBR8FaQW0BfsGQAaEBr0G4gb6BxcHRAd+B7UH3wgCCCYITQh1CJkIugjdCQUJNQlrCaEJ0gn9CisKYAqUCrsKzgrUCtkK5wsGCz0LkQv6DGEMrwzhDQoNQA2DDcAN4Q3iDc8NuQ2nDYgNQwzIDCkLmAtGCz4LWgttC2cLXAtkC3wLjQuKC4oLsgwKDGwMpQyiDIMMeQyaDNAM9Qz+DP8NEA02DWENhw2oDcoN6g4CDhAOGw4oDjMOMQ4jDhAN/w30De4N8Q38Dg4OJQ5CDmwOog7YDwIPJQ9XD6oQEhBrEJYQlRCHEIwQrBDWEPcRDREhETcRThFmEX0RlhGrEbgRvxHKEd0R7xHzEeMRxhGnEY8RfhF3EX4RkBGfEaQRoRGgEaURqxGuEa0RrRGyEboRwxHJEcsRzBHUEfISKhJrEpEShRJUEiYSEhH7EZ8Qyw+RDjIM3QuRCj8JFAh3CLMJogq6C4AL3AwCDBsMIQwIC+wL+AwjDCkL1gtBCrsKeApnClMKIQneCZ0JZQkvCP0IzgidCGYIMAgFB+EHtgeAB0cHFwboBq8GbQY3BhgF/gXSBZYFZQVQBUgFMgUCBMkEmgR0BE0EIgP4A9MDrQOCA1cDMAMMAuYCvAKVAnUCVgIvAgMB3AG+AagBjwFyAVMBNAEXAPoA4ADMAL0ArACYAIAAagBYAEgANgAjAA//+v/m/9P/wv+1/6v/of+P/3r/Zf9Y/1P/Uv9V/13/aP9x/3D/Zf9T/z//J/8H/uD+t/6S/nP+WP4//if+Dv31/d79y/29/bH9of2M/Xb9Yv1R/UP9Nv0q/SD9Gv0X/RP9DP0B/PT85/zZ/Mr8u/ys/J/8kvyF/Hf8a/xd/E38Ovwm/BT8Avvt+9b7wPux+6b7mvuL+3v7a/tb+0r7Ofsr+yD7E/sD+vP65/rf+tj60vrP+s/60PrO+sn6xvrH+sv60vrc+ub68Pr2+vz7BPsT+yT7Mfs6+0D7SPtQ+1j7X/tm+237c/t4+377h/uQ+5X7mfuf+6r7t/vC+8b7x/vH+8r7zvvS+9X71/va++D75vvp++v77fv1/AD8CfwM/A38Efwa/CX8Lfww/DH8NPw5/D/8R/xO/Fb8Xfxj/Gj8bfxz/Hz8hPyL/I/8lfyd/Kn8tPy8/MH8yPzR/Nr83/zi/Ob87vz4/QH9B/0M/RP9G/0i/Sf9LP0x/Tf9Pv1E/Uv9Vf1g/W39d/1//Yb9jv2W/Z39pf2w/bz9yP3P/dL91/3j/fX+BP4L/g7+E/4f/iz+OP5D/k/+Wv5h/mP+Zv5v/nz+h/6P/pf+o/6x/r3+x/7R/t3+5/7v/vn/CP8e/zf/TP9d/2z/ff+P/6X/wP/e//kADgAbACQAKwAxADgAQQBLAFYAXABfAGAAYQBkAGcAbQBzAHwAhgCSAKEAswDDANAA1gDZAOAA7wEFAR8BNwFMAWEBeQGXAbYB0gHoAfoCCgIcAjECSwJqAo4CtQLdAwMDIAMzA0QDXwOHA7ID1QPqA/kEDQQsBFMEgQSyBOQFFAVABWcFhgWgBboF3QYDBh8GJgYcBgMFywVbBMQEZQS3Be0HxAm2C2QMuw3FDmwOlQ5TDfENnA0wDGsLXAp7CjoKjwrzCuQKWAmwCUoJNglGCUwJPwkwCTQJWgmhCe0KFgoACbMJVAkGCM8IpwiFCGcISggjB+wHrgd5B1EHMQcSBvMG2wbNBsIGsgaUBmgGMgX9BdEFsQWWBXgFVgU1BRcE/ATcBLgEjwRiBDMEAwPZA7kDpQOWA4ADWgMhAt0CnAJlAjYCBwHXAagBgAFaATQBFQEOASEBPAFCASUA7gCoAFL/4f9a/tn+ev4//g/90f2E/UD9HP0Z/ST9K/0j/Q/8+Pzh/NH8yfzH/MX8uPya/HD8Svwz/DL8QfxY/G/8hvyb/LT81f0A/TD9Wv13/Yz9o/3F/fD+Jv5q/sD/Gv9d/3v/fv+I/7D/8gAwAE8ASgAwABkAEgAcADIASwBiAHkAkwC1ANgA9QEHARMBIgE7AV0BfgGUAZsBlQGLAYcBjgGeAbIBwQHLAdEB1QHaAeIB6wH5AgsCJAJAAl4CegKUAq8CywLlAvwDEAMjAzcDTQNiA3UDiQOcA7ADxAPYA+wEAQQVBCgEOwRRBGcEfASQBKEEtATIBNwE7wUABREFJQU6BU8FYgV1BYoFogW6Bc4F3gXsBfcF+wX2BesF4gXiBeUF5AXfBdoF2gXbBdgF0QXOBdMF2wXeBd0F3QXkBe8F9gX5Bf0GBwYSBhsGIQYrBjsGTgZgBnAGgQaVBqsGvwbWBu8HCQcfBzAHPwdQB2MHdweQB7MH2Qf3CAUIDAglCHQItwjpCQIJCAkCCO8I1wjWCQ0Jfwn1CiQJ5gliCOgIuAjPCQAJHgkgCRgJFAkZCSIJLglACVUJaQl7CY8Jogm0CcMJ0gnmCf4KEwoeCiAKHwofCh4KGgoXChsKKgpBCloKcwqTCrsK5wsNCygLQAtjC5gL1QwKDCoMNgwxDCEMDQwDDA0MJwxEDF0Mfwy9DRoNeQ22DcENqQ2JDW8NXQ1ODUENNg0rDRwNDg0GDQYNCg0MDQoNAQzyDN8M1AzYDOEM2gy9DKQMtAz4DUwNgA18DVUNLg0cDScNUw2ZDd4N+g3cDZcNUg0bDN0MhAwcC8ULjgtkCygK0QppCfYJegj8CJcIYghbCGYIcAh0CHQIaQhPCC8IIQgsCD8IPQgeB+kHogdCBscGSgXtBb8FrgWiBZIFhQWCBYMFgwWDBYcFjwWWBZwFowWqBbIFwwXkBhAGNAZBBkQGWwaaBvUHTweTB74H2AfjB+QH4gfiB9kHvgeSB2cHTAc7ByMG+gbGBpMGZgZABiMGEgYJBf8F8AXgBdQFyAW1BaAFkwWUBZ0FpgWvBb4F0gXiBesF9gYIBhwGJQYjBhwGFwYPBf4F6gXfBdwF2AXNBcEFwAXJBdYF5wYFBi8GUgZbBkkGMQYcBf4FzgWaBXsFeAV5BWMFOwUZBQgE+ATUBKMEfgRwBG4EZwRaBFIEUQROBEEEMAQjBBsEDgP5A+IDzwO+A6cDiQNqA1ADOAMeAwIC5gLKAq4CkQJzAlcCOQIaAfwB4gHHAakBhgFkAUgBLwESAPAAzwC0AJ0AhABmAEgALAAR/+3/wP+Q/2X/QP8Y/uj+s/5+/k7+Hv3q/bH9d/1A/Q383Pyt/IH8W/w4/BP76Pu2+4H7TPsY+uf6uPqL+mX6Rfop+gn53/ms+Xn5Tvku+RP49vjS+Kz4h/hr+Fr4UPhE+C74C/fj9773m/dx9zj29Pay9nn2S/Yc9eP1nfVR9Q704/TS9M30wvSn9IP0YPRE9Cz0FPP/8+zz1fO1847zZPM78xDy3vKr8oLyafJa8k/yQvI08iXyEvH58d/xxvGq8YfxYPFA8S/xLvEx8S7xJvEh8SXxKfEb8PHwwPCm8LTwzvDN8KTwd/Bv8I7wqPCe8H3wcPCD8J3wnPCD8GvwYvBe8FPwR/BJ8FjwYvBf8F3wavCC8JnwqvC/8N7xAPEc8TjxXPGF8aXxtvHC8dbx+PIy8p/zSfQG9ID0f/Qr8/X0MvTW9Yr2AvY49lH2aPZ+9or2kfaf9rr22/b59w33FPcN9v/29/b+9xH3Jvc490b3Vfdn93n3jPea95j3hfd395P36/hj+MD43PjA+Jv4k/ir+Mz44/jx+P75Bvj8+Nv4sfiX+J/4zPkL+U75ifm/+fX6Mfp6+tX7RPvC/EH8tf0X/Wr9tP3z/ij+Vf6F/r3+9f8h/0D/Xf+L/88AIQByALoA+gE7AYIBzwIdAmICmQLJAwMDWwPRBE8EsQTdBNgEwQS/BOQFKAV5BcYGDwZSBosGtwbYBvYHGwdFB28HlAe1B9UH9ggZCEEIbwihCNEJAAkzCWsJownVCgAKLApZCn8KlQqZCpcKoArDCwQLZAvVDEEMlgzRDQANMw1qDZYNpQ2XDYANcQ1mDT0M1AwqC3QK+ArbCwALJgsiCwYLBQs4C34LowuVC3oLiQvPDCQMTwxCDCAMGQw9DHUMowy/DNcM+Q0fDT0NUw1pDYcNqA3ADc8N3A3pDfMN8Q3lDdgNzQ3FDbsNtw28Dc0N5g4HDjMOZw6XDrkO2w8VD3UP4xAzEEkQNxAnEDgQZBCTELUQzRDjEPsREREnEUERXBFuEXQRehGREbcR2hHjEc0RphGAEWMRUBFJEVERYRFxEXcRdxF4EXoRfhGCEYYRjBGTEZgRnhGlEawRsRHAEecSJhJjEnsSYRIuEggR9RHMEVAQYg8XDaIMJAqrCVcIcAhHCOkJ/Ar7C5cL3wwJDCcMIgv2C88L3gwUDCML0gs4CqIKSQonCg8J5wmwCXcJQAkNCN4IswiDCEwIFgfrB8YHmAddByQG9wbPBpkGWAYiBgMF6QW5BXQFOQUjBScFIAT9BMYEkwRrBEcEIAP2A9ADrAOHA18DNgMMAuECtwKSAnMCVAIvAgUB3AG5AZ0BhAFtAVMBNQERAO4A0QC+ALEAowCQAHsAaABZAEwAPgArABYAAf/u/93/zf+//7P/pv+W/4H/a/9a/1L/VP9c/2X/bP9s/2X/WP9J/zj/Iv8G/uT+wP6e/n/+Y/5H/iv+D/3y/db9vv2q/Zr9h/1x/Vr9R/05/S79If0T/QT8+fz0/PP88/zv/Of82/zM/Lv8rPyg/Jf8kPyH/Hv8a/xY/EX8Nfwn/Br8Cvv2++H70PvE+7j7qfuX+4b7dftk+1L7Qvs2+yr7HPsL+v368/rs+uX63frZ+tn62frW+s/6yfrJ+s761fre+uf67/r1+vz7B/sY+yr7OPtA+0b7TftW+2D7avt0+3z7gPuD+4f7kPuZ+6D7pfuq+7L7vfvH+8z7zvvN+8770fvV+9f72fvc++D75Pvl++T75fvt+/f8APwE/Af8DPwT/Br8H/wi/Cf8K/ww/Db8PPxE/Ev8UPxU/Fn8Xvxk/Gr8cvx7/IP8ivyS/J38qPyv/LH8tfy8/Mb8zvzS/NX83Pzl/O388/z4/P/9B/0P/RT9G/0i/Sn9L/00/Tr9Q/1O/Vn9Y/1s/XP9ev2B/Yn9kf2b/af9s/29/cP9yv3W/eb98/36/f3+A/4P/h3+J/4u/jj+Q/5M/lD+VP5c/mn+c/56/oD+jP6c/qv+tf6+/sn+1f7g/uv++f8O/yX/Of9K/1v/bf+C/5b/rP/D/9v/8gAEABIAHQAlACoALwA3AEEARwBIAEYARgBMAFYAYABpAHEAfACMAJ8ArgC3ALsAvwDIANUA5QD3AQsBIwE9AVcBbwGGAaABuwHUAekB+wIPAiYCQgJjAokCtQLhAwUDGwMnAzYDUQN4A6ADwgPcA/UEEAQwBFMEfASnBNME/AUjBUcFZwWDBaMFzAX3BhIGFgYKBfEFtQU/BKsEYQTWBikIBAnhC3EMsQ2pDjwOTQ33DYQNGwyRC64KjgmsCW8JwwonCjAJ4wmOCW8Jegl+CV8JLQkPCSQJcAnaCjIKSAoLCZgJJAjSCJ8IeAhUCDIIEQfqB7gHgQdRBysHDQbyBt0G0AbKBsMGswaWBmsGNwYCBdYFuAWhBYsFdgVgBUoFMwUXBPgE1gSvBIMEVgQuBA8D9wPhA8QDmQNhAyEC5QKxAoECTAIPAdABmAFoAT8BIgEcASsBOwE1AQ0AzAB+ACH/sP8x/r3+av4y/f/9vv10/Tb9FP0N/RP9Gf0a/RP9Bfzz/OT82/za/Nn8zvy0/I38ZfxL/EP8Tvxi/Hn8jfyg/LX81v0E/Tv9bP2Q/an9w/3m/hb+UP6Z/vD/Sf+S/7v/zf/fAAMAOABsAI4AlgCKAHMAXQBQAFEAXgBxAIYAoADAAOUBBQEcASsBPAFWAXwBpgHHAdUBzQG4AaUBpAG0Ac4B5QHyAfcB+QH/AgwCHQIxAkUCWwJ0ApACqwLDAtgC7gMGAxwDMANCA1UDawOBA5cDqwO/A9MD5wP6BA8EIwQ2BEkEXARxBIcEnQSyBMUE2QTuBQMFFAUkBTUFSgVgBXQFgwWRBaEFtwXNBeIF8wYABgoGDAYEBfcF7AXpBesF7QXsBeoF6gXoBeMF3QXaBdwF4AXgBd8F4gXqBfMF9wX6Bf4GBwYQBhYGHAYmBjgGSwZeBnEGhgadBrEGwgbTBukHAQcWByQHLwc9B1IHbQeRB7gH2wfyB/4IDwg2CIUIqQi/CM8I3wjnCNgIuwi5CP0JgQoCCi4J5QlaCOIIuQjTCP8JFQkOCQEI/gkGCRUJJgk6CU8JYwl1CYcJmQmqCbkJyAncCfYKDwofCiMKHwoaChUKEQoPChQKJAo9CloKdwqWCroK4QsECx8LMQtFC2ELhQuvC9sMBAwgDCYMGAwGDAQMFwwxDEkMZQyZDOsNQw2ADZQNjA2ADXsNdw1sDVwNTw1JDUgNSg1NDU8NTA1CDTQNJQ0VDQcNAQ0JDRcNFAz5DNgM1g0DDUcNeQ2CDW4NWg1XDWkNkA3FDfIN9w3FDXANHAzcDKYMZwweC9cLlAtICuUKcwn+CYwJGQitCGIISwhgCIIIlwicCJQIhAhrCFUIUghlCHsIfQhhCCsH3QdxBu8GdQYfBfUF4wXTBcEFuAW7BcIFxAXDBcYFzgXYBeAF4gXkBe0GBgYvBlsGeAaGBp0G1gczB5gH5AgOCCUIMwg6CDoINggyCCgIDQfjB70HpweaB4AHUAcSBtYGpAaABmcGWQZPBkEGMAYjBh0GFgYGBfAF4wXmBfAF9QX2BfkGAwYPBh0GLwZJBmMGcQZwBmwGbAZtBmgGXQZSBkgGOwYrBiAGJAY2Bk0GZQaDBp8GrAaeBoEGaAZWBjgGAwXJBaUFngWYBXsFUQUyBScFGwT5BMoEqgSjBKgEpQSaBJIEkQSMBHkEYQRRBEkEPwQsBBMD/APmA84DsgOZA4IDagNOAzADFAL7AuACwwKnAowCcQJRAi4CDgHyAdYBtAGSAXQBWwFCASUBBgDpAM4AsgCXAH4AZgBLACf/+//P/6n/hP9a/yv++f7I/pj+Zf4u/fT9u/2F/VP9JPz3/Mv8oPx3/E38IPvv+7v7i/tf+zX7Cfrc+rH6kPpz+lH6I/ns+bn5k/l3+Vz5OvkO+OD4u/im+J74m/iR+Hf4T/gj9/n30Peh92v3MPb09r32ivZa9ib16vWq9XX1WvVZ9V/1U/Ux9Qb05fTO9LX0kvRp9ET0IfP288HzhvNP8yDy9fLL8qXyiPJ28mryYfJU8kDyJvIM8fjx5/HP8afxdvFO8T7xRPFM8UfxNPEg8RrxHPEQ8OnwuPCf8K3wxvC/8I3wW/BY8ILwp/Cd8HPwWvBm8H7wf/Bq8FfwVfBW8E3wQPBB8E/wWvBZ8FbwYvB48I3wnPCu8Mzw7fEI8SHxQPFk8X/xkfGk8b3x1/H18jvyzfOT9C/0TPP486rz0/R99Uv12PYQ9iH2N/ZX9m32dPZ49ob2m/av9rz2xPbI9sr2zvbb9vH3C/ch9zL3PvdH9033T/dK9zz3Lfc593j36Phe+KH4nPht+Er4U/h7+KL4t/jD+M/42fjO+Kr4fPhh+Gz4nPje+R/5WfmO+cX6BPpM+qL7CfuA+/78dvzc/S79cf2n/dX9/v4n/lP+ff6l/s3+//9A/47/4QAzAIEAyQENAVEBmQHkAi4CbgKqAvUDXgPhBF8EsQTEBKgEhAR9BKQE7gVFBZcF4QYiBl4GkQa6BtgG7Ab9BxEHKwdIB2MHeweZB8gICQhPCI0IwQj3CTgJfQm2Cd4J/QoeCkEKWgplCmkKeQqjCukLRAunDAcMWgyfDNkNEA1DDWQNYw1EDR8NCQz8DM0MUwuXCt4KewqFCsMK4wrJCqYKxQszC7EL7AvLC4YLZguHC8QL5wveC8cLygv0DC4MYgyJDK8M2g0BDRkNJQ0uDUANVw1uDYMNmA2rDbUNsA2lDZwNlg2NDX0NcA1yDYQNnw3BDe0OIw5WDngOkw7HDyQPlQ/oD/8P7A/dD/MQIxBTEHQQihCfELMQxBDYEPURFBEoES4RNxFYEZARwBHNEbMRhRFcEUERMRErES4ROBFBEUURRhFHEUgRTBFSEV4RbBF1EXoRgBGIEY8RlxGsEdsSHhJUElwSNhIGEekR1RGTEPAP4A6ADPELTgm8CIAH8gg/CTYKWgs2C6sL4wwPDCsMGwveC6gLqAvRC+ALpAsqCqcKRQoECdEJogl2CUwJHgjtCMEImghuCDcH/gfQB6gHeAc+BwcG3Qa4BoQGRAYMBeoFzQWZBUwFCgTyBP4FCQTzBMIEjQRlBEUEIQP3A8wDpQOAA1oDLwMDAtgCsgKRAnQCVAIxAgoB4gG7AZgBfAFmAVIBNQEQAOgAxwCxAKQAmACKAHsAawBcAE0APgAtABoABf/y/+H/0v/D/7T/pv+a/4r/dv9j/1j/Wf9j/2z/bv9n/1n/Sv87/yz/Gf8C/uf+yf6r/oz+a/5L/iv+DP3u/dH9tP2a/YP9bf1X/UP9M/0m/Rr9Dfz//PD85Pzc/Nn82fzZ/Nb8z/zD/LT8o/yU/Ir8g/x9/HX8Z/xU/EH8Mvwm/Bn8Cfv1++T71/vM+777q/uY+4f7d/tm+1b7SPs++zP7JPsW+wr7A/r8+vL66Prj+uP65fri+t362PrY+tz64frn+u769fr8+wf7FPsk+zT7P/tH+077Vvtg+2v7ePuD+4r7jPuM+477k/ub+6P7qfuw+7j7wfvJ+8770PvQ+8/70PvT+9b72fvd++D74vvh+9/73/vl++379Pv4+/78BfwM/BD8E/wX/B78JPwn/Cv8MPw2/Dv8P/xF/E38Vfxa/F38Yvxs/Hb8fvyF/I78mfyh/KX8pvys/LX8vfzD/Mj8zvzW/N384/zp/PD89/z9/QL9Cv0V/R79Jv0r/TH9OP1A/Un9Uv1a/WH9Z/1t/Xb9gP2L/Zb9ov2u/bj9wf3K/db94P3m/er98f39/gn+Ef4X/h/+Kv40/jv+QP5K/lf+Yv5m/mr+dP6F/pX+n/6m/rD+vf7L/tj+5/77/xH/Jf82/0n/YP92/4n/mP+o/7v/0f/m//kACAASABYAGAAcACUALgAzADIAMQA3AEQAUQBcAGQAbgB9AIwAmACfAKMArAC7AMwA2gDnAPgBEAEtAUkBXwF0AYsBpgHAAdcB7QIEAh8CPwJiAowCugLmAwMDEQMZAygDRgNrA48DrwPQA/EEEgQyBFMEeQSgBMME4gUBBSQFSAVtBZcFyQX4BhUGGAYMBfIFsQUxBJwEYQTyBlkILQnsC1cMeg1iDekN7g2JDQQMhgvqCwEJ7gkgCO0JOAmVCbEJmAmKCaMJxAm9CYcJRgkpCUwJqQoZCmkKawoXCZQJFgi7CIAIUggpCAIH3Ae0B4QHUwcmBwEG5QbRBscGxAbBBroGqwaTBnAGQwYQBeEFvwWpBZsFkQWIBXoFZQVLBTAFFQT4BNcEtASTBHYEWQQ6BBUD5gOvA3EDMwL6AsUCigJIAgQBxwGVAWoBSwE7AToBNAEVANUAfgAd/7X/R/7a/n3+PP4O/d/9pv1p/TX9Ev0A/Pr8/P0E/Qn9B/z7/O785fzj/OT83vzK/Kn8hPxo/Fz8Yfxx/IP8lPyk/Lj81/0G/T/9eP2k/cL93P38/in+ZP6t/wH/V/+j/9sAAQAfAD4AYgCJALAA0QDiANoAvwCdAIYAgACJAJkAsADMAO0BCwEjATYBSgFlAYsBugHnAgAB/AHiAcYBuwHGAd8B9wIGAg4CFAIfAjACRgJeAnUCjAKkAr8C2QLvAwEDFAMpAz8DUwNlA3kDkQOpA8ED1gPpA/0EEAQiBDUESQRfBHMEhQSYBKwEwgTXBOoE/QURBSMFMwVBBVIFZQV7BY0FmgWmBbUFyQXfBfUGBgYTBhsGHAYTBgYF+QXyBfEF8wX0BfMF8AXtBekF5gXlBeUF5AXjBeQF6QXuBfEF8gX1BfsGBAYKBg0GEwYeBjEGRQZZBm8GiAaiBrcGxwbXBusHAAcRBxwHJgc1B00HbQePB7AHygfgB/oIIAhSCHAIbQhoCHMIjAicCJQIhAiXCOwJbgnXCecJmAkjCNIIxgjmCQQJBwj2COkI6gj2CQcJGwkxCUgJWwlpCXcJiAmcCa4JvQnPCecKAgoXCh8KHAoTCgwKCQoKChEKIgo9Cl4KfQqbCroK3Ar+CxkLKgsyCzYLQAtcC44LzwwLDCkMIwwLC/0MBwwiDD4MWgyADLYM7w0ZDS4NOw1RDXANiA2MDYANcQ1tDXQNhA2UDZwNlw2GDXENXQ1LDT0NOA1ADUwNSw00DRINBQ0dDVANfg2TDZUNlA2fDbgN3Q4EDhcN/w22DVIM9AyyDIUMXAwoC+ILhQsQCowKDgmjCUYI6wiXCF4IVgh0CJsIsQizCKoInAiNCIIIhQiWCKcIqAiOCFcH/weLBwkGmQZPBisGGAYEBfEF6gXwBfsGAAYABgMGDAYWBhwGHgYgBi4GTgZ6BqEGuQbQBwIHXgfRCDEIZQh1CHkIgAiECIEIeQhzCGkIUggvCA8H/QfvB9EHmwdZBxoG5wbCBqkGmgaPBoMGdQZsBmoGZgZXBkQGOQY7BkAGPAYxBiwGNAZFBlkGcAaKBqMGsga2BroGwQbJBsoGxQa7Bq4GmwaKBocGmwa7BtgG6wb3BvsG7wbSBrUGqganBpAGVQYMBdoFygXBBaQFeAVYBUwFQQUiBPkE3wTeBOUE4gTUBMoExgS+BKkEkAR+BHYEbARZBEAEJwQRA/oD4gPMA7YDnAN+A18DRQMvAxQC9QLXAr4CpQKFAmACPAIfAgMB5AHCAaQBiwF1AVsBPAEcAP8A4wDLALQAngCBAF4ANwAQ/+v/xP+X/2n/PP8Q/uD+qf5v/jX9/v3I/Zb9Z/08/RH84/yz/IX8V/wn+/f7yvuj+3/7Vvsn+vr61/q5+pb6Zvou+f352vm/+Z/5dPk/+Qz46fje+OX48vjx+Nv4r/h5+D34APfE94r3VPch9uv2s/Z/9k32GvXk9bb1nfWa9Zn1hPVb9TX1IvUe9RL08vTF9Jj0bfQ48/LzovNb8ynzCPLt8tDysvKa8ozyhfJ68mLyQPIg8g3yAfHr8cHxivFf8VLxXfFp8V/xPPEV8QDw/vD58N3wsvCY8KLwuPCw8ILwVvBa8Ivws/Cn8HTwTvBP8GLwY/BR8ETwS/BV8FHwRPBA8EvwVfBV8FTwX/B08ITwjfCc8Lfw1/Dx8QjxJPFC8VnxaPGA8abxzPHp8hvykPND8+D0CvPA83HzmfRJ9SL1tfXp9fP2CvYz9lL2WPZV9ln2aPZ19nr2fvaJ9pr2r/bD9tf26/b+9xH3IPcn9yP3E/b69uX25PcM92X32/hB+G34Wvgu+Bf4J/hM+Gz4gPiS+Kn4uPis+IH4T/g1+Eb4evi++P/5N/lp+Zz51PoV+mP6wvsz+6/8KPyR/OL9Hv1M/XP9mf2+/eH+Av4p/l7+pf77/1X/q///AFIAowDrASkBaAGsAfUCOwKAAtYDTAPXBE8EigSABFAELQQ2BHAExgUhBXMFuAX0BisGYAaMBqgGrwaoBqYGtAbOBukG/QcXB0gHkwfoCDEIbgiuCP4JUwmWCbwJzwnkCgIKHwo2CkwKbQqiCuYLLwt3C78MBgxNDJEM1A0QDTUNLw0DDMkMoAyGDE8L0gsZCm8KIwpCCogKnwp5ClkKjgsdC7UL9QvHC2gLLAs1C2QLhAuDC3sLjAvBDAQMPQxlDIcMrAzQDOsM9wz8DQENDA0eDTgNVw1xDXwNdQ1oDWANXA1SDUANMg01DUkNYQ16DZ8N2A4WDkMOXA5+DsgPMA+LD7MPrg+mD7wP6xAaEDoQThBgEG8QexCMEKkQzRDmEPAQ/xEoEWcRnBGmEYURVBEuERoREhEQERERFREXERcRFxEYERsRIRErETsRSxFWEV4RaBF0EXwRgxGaEc8SExI/EjYSCBHfEdERuRFXEIAPPg22DAsKWAjTB9UHrQhdCYgKpQtgC7wL7QwXDC0MEQvNC4sLbgtyC3ILUwsaCtEKfAoZCbYJaQk7CRwI9wjKCKEIgAhaCCQH5wexB4YHWAcjBu4GxAaeBm0GMAX5BdUFtAV9BS8E6ATLBNgE6wTgBLYEhAReBEIEIQP1A8MDlwNyA00DJAL4AtACsAKUAngCVwI1AhIB7QHDAZkBdgFfAUwBNQETAO0AygCuAJoAjQCFAH4AcgBfAEsAOQAqABoACP/1/+X/1//H/7T/pP+Z/4//gP9u/2D/Xf9l/23/bP9h/1D/Pf8r/xn/B/70/t/+yf6w/pP+cP5K/ib+Bf3o/cz9r/2T/Xf9X/1K/Tn9Kf0Z/Qn8+fzr/OD81/zO/Mf8wvzB/MH8wPy6/K/8n/yO/H78c/xt/Gj8YPxS/EL8M/wl/BX8Afvu+9770/vH+7j7pvuU+4T7dPtk+1f7TftE+zr7Lfsh+xn7E/sK+v368frt+u768frw+u767Pru+vH69Pr4+v37BfsO+xj7JPsw+zr7Q/tM+1X7Xvtn+3H7fPuI+5D7k/uU+5X7lvuZ+537o/us+7b7vvvF+8v7zfvN+8z7zPvN+9D71fvZ+9373/vd+9v72/vf++P75/vq++/79vv9/AD8A/wJ/BL8Gfwc/B78I/wp/Cz8Lvw1/EH8TfxU/FX8WPxh/Gz8c/x3/H78iPyT/Jr8nfyh/Kn8sfy3/Lv8wfzI/M/81fzb/OL86Pzt/PL8+/0G/RL9Gv0h/Sj9L/02/T79R/1P/Vb9Wv1g/Wr9dv2B/Yn9k/2e/ar9s/27/cL9yv3R/dX93P3m/fL9+v4B/gj+E/4d/iT+K/42/kT+T/5S/lP+W/5s/n7+iv6S/pv+qP62/sP+0v7n/v//FP8n/zr/Uf9n/3j/hf+R/6L/tv/K/93/7v/5//3//P/8AAQAEQAcACEAIwAoADMAQQBNAFUAXQBmAHEAewCEAI8AngCwAMAAzwDdAO8BCAElAT4BVAFpAYEBnQG3Ac0B4QH5AhYCNwJdAokCtgLcAvAC9gL9AxEDMwNZA3wDnQPCA+gECgQoBEkEcQSaBLoE0wTuBRIFOwVmBZYFzQYABh4GJAYcBgMFuwUwBJUEZAUJBn0ISgnuCzwMSw0pDakNog0uDJgMDwt1CqAJrwj/CNYJGAlpCYwJkgmpCdoJ/QntCa8JdAlpCZ0J/QpfCpIKegoaCZcJGwi8CHYIPggOB+MHugeOB18HMgcJBuYGyga6BrUGtQazBqkGnAaNBngGVgYpBfwF1wW+BbAFqwWoBaAFjQVzBVkFQgUtBRYE/QTjBMgEqgSFBFsEKwPwA60DZwMmAuoCrQJqAikB8QHGAaIBggFjAUIBEwDMAG0AAP+V/y/+z/56/jf+DP3t/c39o/11/Uf9H/z+/Oj84fzo/PP89/zx/Of84vzl/Oz87fzf/MH8m/x7/Gz8cfyC/Jb8qPy4/Mn84/0L/UH9ev2q/c395/4E/i3+Zf6p/vf/R/+U/9gAEAA8AF0AdQCRALkA6wEVASUBFQD0ANUAwgC9AMMAzwDhAPYBDAEgATUBTAFoAY4BvgHwAhECFAH9AeAB1AHcAfACAgIRAh0CKQI4AksCYgJ8ApYCrwLIAuMC/QMTAyYDOQNPA2UDegONA6IDuwPWA+4EAgQUBCYEOARJBFsEbwSFBJoErAS8BM8E5QT6BQ0FHgUuBT4FTQVbBWoFewWNBZ4FqwW4BccF2wXxBgcGGgYnBi0GLQYmBhkGCgX+BfgF+AX5BfgF9AXvBe0F7gXuBesF5gXkBeYF6gXsBesF6wXxBfsGBAYIBgsGEgYgBjIGRQZYBm0GhgafBrUGyAbdBvMHBwcVBx8HKgc7B1IHbQeGB54HtwfXCAMINQheCC4IFggTCCoIRghSCE0IVgiPCPgJYwmVCXcJJQjaCMEI2Aj7CQgI+gjkCNsI4AjsCPoJDAklCT4JTwlXCV8JcwmPCagJuAnDCdMJ7AoFChEKEAoICgIKAAoECg8KJApCCmQKhAqdCrYK0QrxCw8LIwsoCyELGwsoC1YLoAvuDCEMKAwQC/kL+AwRDDUMVwx1DI4MoQytDLwM3A0VDV4Nmw26DboNqg2fDaINsg3GDdQN1A3GDbENmg2FDXUNbw10DX0NfA1pDUwNOw1EDWUNjQ2rDboNxA3SDeoOCQ4eDhYN3w2ADRQMuwyDDGcMTQwhC9ELWwrKCjwJyQl5CTsI+gi2CIcIfQiUCLIIxAjHCMMIvgi5CLUItQi7CMEIvwioCHQIHAenBysGxQaEBmIGSgY0BiEGHAYkBjAGOQY9BkEGSAZPBlUGWwZkBnoGnAbEBuUG/wcmB3IH5AhaCKsIxwjFCMMIygjPCMgIvAi0CKsIlwh3CFcIQQgqCAQHzAeNB1UHKAcEBuoG2QbPBsUGuga0BrMGsAanBpoGkwaRBowGfAZpBmMGcgaLBqUGuwbOBuAG8Ab9BwkHEwcXBxUHEgcOBwUG9AbnBu8HEgc8B1cHWwdTB0UHLQcNBvUG9QcABu8GrAZPBggF7AXjBcwFpAWDBXUFagVQBS4FGgUaBSAFGQUIBPkE8gTpBNUEvgStBKMElgSCBGoEVQRCBCwEFAP8A+QDyQOrA48DeANiA0YDJAMDAuoC0gK1ApACbAJOAjMCFQH1AdgBwAGpAY8BcAFSATYBHQEFAO4A1QC4AJcAdABRACwAAf/T/6j/gP9W/yT+6/6w/nn+RP4O/dn9qf2A/VX9Jfzx/L/8kvxm/Dn8Dvvp+8X7nftu+0L7H/sB+tr6pvpu+kD6IPoE+d/5rfl0+UL5Ivkd+S35RPlO+T75EfjQ+IL4L/fh96D3bPc99wf2yvaQ9l32K/X09b71l/WA9Wr1RvUY9Pn09/UK9RT1BvTm9MT0ovR09DDz3fOO81LzLfMS8vXy0/K08qHymvKS8nzyWPIz8hzyDfH28cvxlfFu8WbxdvGF8XnxTPEV8PDw5fDh8M3wqPCO8JHwpPCh8H7wWvBf8IvwrvCf8GvwQvBA8FDwUfA/8DTwPfBL8E3wRfBE8E3wVvBX8FfwY/B28IPwiPCT8KrwxfDZ8OvxBfEj8TnxRvFc8YnxvvHq8hvyevMM85LzuvN98z/zc/Qq9QX1l/XE9cb12vYG9in2MvYu9jb2SPZW9ln2WfZl9n72mvaw9rz2xPbQ9uL29Pb69uz2zfas9p32sfbs90b3qvf3+Bj4Evf/9/v4Cvgh+DX4S/ht+JP4p/iU+GH4LfgY+C/4Z/is+O75JvlU+X35qPnc+iH6e/rq+2f74fxH/I/8vvzf/QD9Jv1O/XX9mv3H/gj+Xv7B/yH/eP/NACUAfADHAQMBOwF6Ab8CAQJBApcDEgOkBBwESgQuA/YD3QP9BEsEqAUABU0FjwXFBfQGIAZHBmAGYAZNBj0GQgZeBn0GlQawBt8HKweEB9YIHwhsCMcJJAlrCZEJoQmvCccJ5woKCjMKZwqkCuQLHwtWC44LygwLDFIMnwznDRYNEwzfDJgMXww1C/MLcgq+CiAJ4AoGCkoKXgo3ChcKRArACz8LcAtFCvgK0grnCxcLNAs1CzcLWgujC/cMNQxUDGEMcwyPDK0MwgzKDMwMzwzcDPYNGA01DUENOg0tDSUNIg0ZDQkM/w0GDRkNKQ0yDUsNhg3ZDh8OQQ5VDoMO2Q81D2wPdw90D4UPrQ/aD/sQERAhEC4QORBLEGwQkhCuELwQzxD8EToRaBFqEUQRFBD0EOkQ6RDsEPEQ9hD3EPUQ8hDyEPYQ/xEMERoRJxExET0RUBFiEWwRchGKEcESARIhEgkR1xG5EbcRmhESD/4OfAzDCwAJWwgRB3UHtQioCdoK1wtwC78L8wwaDCMMAQvBC30LRgsaCvwK9Ar/Cv4KxwpRCb8JSgkKCOsIywijCH0IYQhBCA8HzweTB2QHOgcIBtQGpwaABlQGIAXuBcgFowVsBSAE2gS4BL4EzgTHBKQEdgRTBDgEFwPpA7UDhwNlA0YDIQL3AtACswKaAn8CXgI9AhwB+AHNAZ4BdgFZAUUBMAEVAPYA1QCzAJYAgwB9AHwAdABiAEoANwArAB0AC//6/+3/4f/R/7n/of+S/4n/fv9u/1//Wf9d/2H/Xv9T/0P/MP8c/wb+8P7d/sz+vf6q/pD+bv5H/iD9/f3h/cb9rP2Q/XT9W/1G/TT9I/0R/Pz86fzb/NP8zfzF/Lr8r/yq/Kn8qfyo/KL8l/yH/Hb8Z/xe/Fr8VPxL/D78Mfwi/BH7+/vn+9f7y/vA+7L7o/uU+4T7dPtm+1v7VPtO+0T7Ofsw+yr7I/sX+wj6/fr6+v36/vr++v37APsD+wf7CvsO+xP7Gvsg+yf7L/s5+0P7TftX+2H7Z/tr+3D7ePuC+4z7lPua+5z7nPuZ+5j7nPul+7D7ufvA+8T7x/vI+8j7yPvK+8z7z/vT+9f72vvZ+9f71vvZ+9z73Pvc+9/75Pvp++z78Pv4/AL8CvwO/BH8GPwe/CD8IPwm/DP8QfxK/Ez8UPxZ/GP8afxs/HH8fPyI/JH8lvya/KH8p/yr/K/8tPy6/MD8xPzK/NH82Pzd/OT87fz4/QH9Cf0R/Rv9Jf0u/Tf9Qv1L/VD9Uv1W/WD9bf14/X79hf2Q/Zv9pP2p/a/9uP3B/cj9zf3V/d/96v3z/fv+Bf4N/hL+F/4h/i7+Of49/j7+Rf5V/mn+d/6B/ov+l/6j/q/+v/7V/u//Bf8Y/yr/Pv9T/2T/cf+A/5P/p/+4/8j/1v/i/+f/5P/g/+X/9AAFABEAFgAcACQAMAA8AEUATQBTAFkAYwBwAIAAkQCgAK0AvQDSAOwBBwEgATUBSQFgAXwBlwGwAcMB1wHuAgoCLAJSAn4CqQLIAtYC2gLkAv8DJwNQA3MDlwO9A+ED/wQaBD0EawSaBL0E2AT2BR4FSwV1BaMF2AYLBioGMwYwBhgFyQUyBI8EYgUTBpAIWgnzCzgMRw0mDaENiQz9DFULyAs9CogJvAknCQcJRAmPCbUJxAngCgsKIAoECcgJnwmwCf4KYgqrCrMKdQoHCY0JIAjHCHsIOggEB9UHpwd4B0sHJAcCBuEGwwaxBqwGrQaoBp0GkQaJBn4GaQZKBicGBgXrBdgFzQXHBb4FrQWVBXsFZgVTBT8FKAURBPkE3AS4BI0EWgQaA84DgAM4AvkCuwJ7Aj8CEgH0AdwBtwF/ATAAzgBd/+f/eP8Z/sf+fv4//hP9+v3s/dv9wP2a/W/9P/0Q/Ov81/zV/Nv83fza/Nb82vzm/Pb8//z2/Nf8rPyH/Hf8gPya/Lb8zfzc/Of89/0T/T/9cv2h/cf94/3//iL+UP6K/tD/HP9s/7oAAAA6AGIAegCPALAA3gEPATEBOgEwAR4BCwD7APAA7gD0AP4BCgEYAS0BSAFoAY8BwAHyAhUCGwIIAfAB6AHxAgECDgIZAikCPAJQAmQCewKXArUC0ALoAwADGQMyA0gDXwN2A48DpAO4A80D5gQBBBcEKgQ6BEwEXgRvBIEElQSrBL4EzgTeBPEFBgUcBS4FPAVKBVkFaQV3BYUFlAWkBbMFwgXQBd8F8AYEBhkGLAY5Bj4GPQY2BisGGwYKBgAF/gYBBgIF/QX2BfMF9AXzBe0F5QXiBeUF6QXqBekF7AX1BgAGCAYLBhEGHQYvBj8GTAZZBmoGfwaVBqsGwgbcBvYHDAccBygHNgdGB1cHaAd6B5IHtQflCBgIOwhCB9wH0gfwCB8IOQg0CC8IWQi+CTIJdQlkCRQIxAikCLwI6wkJCQUI7wjdCNoI4gjqCPEJAQkbCTUJQwlFCUsJZAmLCa0JvAm8CcEJ0wnsCf0KAAn6CfUJ9Qn8CgsKJQpHCmoKhQqaCqsKwAraCvcLEAsdCx4LGQsfC0ALgQvPDA0MIwwUC/cL6Av2DB4MTgx1DIUMgAx2DH0Mpgz1DVgNtA3vDgEN9Q3fDdIN1A3hDfEN+g33DegNzw21DaENmw2iDaoNqg2bDYENaQ1hDWwNiQ2pDcANyw3PDdcN5A3kDcMNeQ0VDLYMdAxUDEYMMAv9C58LGgqGCgUJqwl2CU0JHAjjCLcIqQi1CMoI2QjgCOMI6AjrCOoI5wjiCN8I2wjLCKAITwfeB2cHBAbCBpkGfAZkBlQGUQZYBmQGcAZ5BoAGhAaJBpIGoAa1BtAG8QcUBzIHUweKB+cIXQjICQUJEgkMCQ8JGwkhCRcJCgkACPYI3wi8CJYIdQhUCCoH9wfHB54HegdZBzwHKAccBxEHBQb8BvkG9wbzBu0G6QbkBtQGvAaoBqkGwAbgBvoHCQcUByEHMgdFB1YHXAdWB08HUQdaB1oHSgc6B0MHageUB6UHmweMB4QHeAddB0EHOwdEBzIG6QZ8BiQF/wX7BfAF0QWxBZ8FlAV/BWMFUQVQBVQFTQU7BSoFIQUWBQQE7wTeBNEEwQSsBJYEhARzBFwEQAQkBAsD8gPYA8ADqQOSA3MDUAMvAxUC/wLiAsACnQKAAmUCRwIpAg0B9AHbAb4BoQGGAXABWgFBASYBCQDsAM4ArgCNAGcAPQAQ/+f/wf+X/2T/Kv7x/r7+i/5U/h397P3E/Zr9aP0x/P780/ys/IL8WPww/Ar74Pu0+4z7bPtL+x/65fqr+oD6YvpE+hv55/mx+YX5a/ll+XP5iPmS+YP5VvkP+Lj4WvgE97/3i/db9yT25fao9nL2PfYB9cH1ifVf9Tj1C/Tc9MH0xPTZ9Oj04/TP9Lr0q/SY9HX0PvP787jzfvNN8x7y7/LE8qnyoPKe8o/yb/JI8ijyEfH18czxnfF88Xjxi/Gf8ZrxcfE08Pzw2/DK8LXwlPB58HnwivCO8HTwUvBN8GrwhfB68FHwMfAz8EbwSvA68CvwLvA48D3wPPBB8E/wWvBc8F7wa/B+8Irwj/CX8KnwvPDG8M/w5vEJ8STxL/E+8WfxpPHh8hnyafLZ8z3zWPMo8wDzRPQA9Nv1a/WX9ZX1o/XK9e31+/YB9hP2MPZF9kv2TPZX9m72hvaT9pX2lvae9q32uva39p72ffZo9nT2n/be9yD3W/eK96z3w/fU9+P38ff++A/4MPhh+JD4oPiE+E34HfgO+Cj4Xfie+N75FflA+WH5gPmp+ej6Q/q3+zj7sPwK/D38VPxh/Hf8oPzW/Q79Rf2C/c/+L/6Y/vz/Vf+rAAMAWQCiANsBEAFNAY0BxgH6AkYCwANZA9YEBQPoA7UDqgPaBC4EhQTTBR4FZAWcBcEF3QX2BggGCAXzBdwF3AX4BiAGRAZnBpoG5gdCB50H8QhGCJ4I8gkzCVoJbwl/CZUJtAneChUKVAqVCtILDgtJC4QLvgv3DDgMhgzRDP4M9wy/DHkMQgwSC8MLNQp8CeAJoQnACf8KFwn6CdgJ6AouCnUKjgp4CmEKcQqnCt0K8QrsCvULLwuUC/0MPgxNDEAMOgxLDGoMhAyRDJUMmAyjDLgM1QzwDP0M+gzvDOgM5QzdDNAMyQzSDOUM7QzpDPcNNw2iDgkOQA5ODmIOng7xDy4PQA87D0EPYA+KD64Pxw/ZD+cP+BAREDcQXhB6EIoQoRDPEQoRMBErEQQQ2hDAELkQuhC/EMkQ1RDcENoQ0xDPENQQ3xDtEPoRBBENER0RNBFJEVMRWhF0EasR5RH4EdcRpRGPEZARYRCuD18NoQu+CfQIegeNB2UIAwkYCjAK+QttC7QL6wwNDAkL4wuuC3ULLwrfCp8KlgrDCvIK2wpmCb8JLwjeCLoIngh6CFgIPggiB/UHuAd8B0wHIgbzBr0GjAZjBj4GFQXqBcEFlQVcBRYE1QSxBK0EtgSwBJIEaQRFBCcEBQPXA6QDewNgA0gDKAMAAtgCuQKgAoUCZgJFAiQCAAHVAaUBegFZAUABKQETAP0A4QC9AJYAegBwAHIAcABgAEoAOQAuACIAEQAB//j/8P/f/8L/ov+L/37/cv9j/1P/Sf9H/0b/Qf84/y3/IP8O/vj+4P7L/rz+rv6f/oj+aP5B/hr9+P3c/cL9qP2N/XH9V/1A/Sv9GP0E/PD83fzP/Mf8wfy4/Kv8nvyU/JD8jfyK/If8gvx4/Gv8XfxR/En8Qvw6/DH8KPwd/A77+vvm+9b7yvvA+7b7q/uf+5D7f/tx+2j7ZPte+1T7SftB+zz7NPsm+xf7DvsO+xD7D/sN+w37EfsW+xn7Hfsj+yr7Lvsv+zH7OftE+1L7X/tp+3D7c/ty+3L7d/t/+4j7kfuZ+5/7ofue+5r7nPuk+6/7t/u8+7/7wfvC+8T7x/vK+8v7y/vM+8/70/vU+9L70fvS+9X71vvV+9b72Pvc+9/74/vq+/P7+vv//AT8DPwT/Bb8Fvwa/CX8Mvw7/ED8RfxP/Fn8X/xj/Gr8dvyC/Ir8j/yT/Jn8nfyg/KL8p/ys/LD8svy2/L38xfzN/Nb84Pzp/PD89fz9/Qr9GP0k/S79Ov1E/Un9Sv1M/VT9Yf1s/XP9ev2E/ZD9l/2b/aH9rP24/b/9w/3J/dT94f3r/fP9+v4A/gT+B/4N/hj+I/4q/i3+Nf5D/lT+Yv5s/nb+gv6P/pz+rP7D/t3+8/8E/xX/KP89/07/Xv9x/4f/nf+u/7v/x//T/9f/0//O/9D/3v/w//4ABgAMABMAHAAoADMAPQBEAEoAUwBiAHIAfwCJAJUAqADFAOQA/wETASYBOwFUAXABiQGgAbYBzQHnAgUCJgJMAnYCnQK6AskC0gLjAwQDLgNXA3sDngPDA+MD/gQZBEEEdQSnBMwE6wUQBT0FagWRBboF6wYZBjcGQgZBBigF0QUtBIAEUAUBBnsIQQnaCyoMTA05DbINiAzlDC0LngsiCogJ1QlQCTMJbwm9CeoJ/AoSCi8KNgoTCdoJvwnpCk4KtgrnCsMKXAnhCXUJIQjVCIgIPQf/B84HoAdyB0cHJAcHBugGyAayBqoGqAakBpgGjAaFBoAGdwZnBlQGPgYmBg0F+QXrBd4FzQW3BaAFiwV2BV0FQQUnBRAE9QTSBKUEbAQnA9cDhgM8AvsCuwJ9AkkCKgIeAgwB3AGCAQQAdf/s/3f/Hv7b/qL+bP49/h7+Ef4N/gX97/3N/aL9bv05/Qr86fzZ/NH8zfzJ/Mr81Pzo/P79DP0H/On8vvyY/Iv8mvy7/N/8+P0C/QP9B/0X/Tj9ZP2Q/bX90/3u/gn+Kv5Y/pf+5P86/47/2wAdAE4AbwCEAJkAtgDaAP0BGwEvATYBLgEbAQYA/AD+AQYBDwEaASwBSAFqAZUByAH7Ah0CIgIQAfsB9gIAAg4CGAIkAjcCUAJoAoACmwK7At0C9wMLAx8DNwNSA20DhgOgA7oD0gPmA/oEEAQpBD4ETwRgBHEEgwSWBKoEvwTTBOUE9AUDBRUFKgU9BUwFWAVlBXYFhwWWBaQFsgXBBdIF4wXyBf8GDAYcBi8GQQZNBk4GSQZCBjcGJgYTBgUGAwYJBg0GCAX/BfkF+AX2Be8F5wXlBekF7gXxBfIF+AYABgcGCQYMBhcGKQY7BkYGSwZUBmQGdwaKBp8GuAbXBvYHDwciBzEHQAdOB1wHagd+B5wHxwf4CBwIHwgBB6QHvggACDwIRwguCC4IeQj+CW0JgAk0CMoIjAiUCMgI+QkJCPwI5gjbCN0I5AjoCOwI+gkUCS4JOgk5CUAJXgmNCbMJvwm3CbAJuwnSCeYJ7QnrCegJ6QnzCggKKApMCmsKgQqPCp0KrQrACtYK8AsLCx4LKAsvC0QLcguzC/QMGwwcC/8L3wvZC/sMOgx1DJQMkgyDDIUMqgz1DVgNvQ4NDjcOOw4mDgwN/A37DgYOFA4ZDg0N7w3MDbQNsA26DcUNxQ24DZ8NgA1jDVYNYw2CDZ8Npw2bDYkNew1kDTUM6gyYDFoMPAwyDCYMAgu7C1AKzApICeAJngl4CVUJKgj7CNgIywjSCOAI7wj7CQYJEgkdCSUJJQkgCRoJFgkMCOcImwgtB7YHTwcEBtIGrwaYBowGigaQBpsGqQa2Br4GwQbIBtkG8wcRBzAHTgdsB4sHtAf0CFUIxAkhCVEJXAlcCWUJcwl1CWoJXAlRCUUJKgkBCNQIrAiHCGEIPAgeCAQH6AfGB6YHjgd8B2wHXAdQB0oHRgdCBz4HOgcxBx0HAwb0BvoHFQczB0oHVAdZB2IHcweKB5wHngeVB5AHnge2B70HpQeGB4QHpQfHB8sHuQeyB8EHzQe2B4gHZwdfB0wHBgaZBjsGFQYYBhoGBAXkBc0FwQWvBZYFhAWBBYMFfgVvBWAFVQVIBTQFHwUOBQEE8ATaBMQEsgSgBIcEaQRMBDUEIQQKA/ED1wO8A54DfQNeA0UDLAMOAu0CzgKzApgCewJdAkECJwIJAekBzAG3AaYBkgF2AVgBOgEeAQEA4gDAAJwAdQBMACX//v/S/57/Zv8x/wH+0P6Z/mH+Mf4I/d79qv1y/T/9F/zy/Mz8o/x5/E/8I/v4+9T7t/uU+2L7I/rp+r/6ovqB+lP6Hvnv+c35ufmz+bj5wfnB+av5evky+N34g/gx9+/3vPeL91P3E/bX9qL2bfYx9fH1tvWI9WD1N/UO9PL06PTm9N70yPSs9Jb0kPSW9J/0mPR29Drz8POp82jzLfL48tTyxvLE8rrym/Jw8knyLPIQ8ezxwvGg8ZXxo/G68cPxqvFu8SHw4PCz8JLwc/Bb8Frwa/B08GDwO/Ao8DPwSfBK8DTwIvAo8DvwQ/A58CvwJvAo8CnwKvA28ErwWvBh8GjwePCN8JnwnPCj8LHwvPC78LvwzvDz8RTxIvEr8Uvxh/HM8gzyUfKj8ufy8/LM8rnzDfPL9KT1OPVs9W71dvWU9bP1xvXX9fP2FvYw9jz2Q/ZP9l32ZPZi9l32X/Zr9nf2d/Zk9kT2MfZA9nT2tvbo9v/3CPcb90L3d/en98f32ffn+AH4Lvhm+JH4mPh4+ET4HfgU+Cn4UviG+L748vkd+T35Wfl9+bn6FvqR+xb7ifvR++n74fvY++b8EvxU/J/86/07/Zb+Af50/uL/Rv+g//cARQCFALgA6QEjAV8BkAG7Af8CdgMPA5ADxAOwA4wDkQPJBBYEXgSgBOoFOQV3BZQFmwWhBasFqwWXBX4FegWVBcYF+gYuBmwGvwcgB4QH3wgxCHkItwjqCRUJOQlUCWsJhwmyCe8KMgpzCrEK8ws8C4ILugvrDCMMagysDMkMsAx2DDwMFgvrC48K8AowCZQJVAltCaYJxQm4CZwJlgmsCcUJzgnQCeoKKAp0CqYKrQqgCrILAguAC/YMNAwyDBMMAQwODC0MRgxTDFkMYAxsDHwMjwykDLMMtgywDKgMowybDJAMjAyYDK0MtAysDLUM+Q12DfgORA5RDlAOcA6yDu0PAQ74DvQPCw81D18Pfg+SD6QPuw/bEAIQJxBAEFIQbxCiENsQ/RD4ENYQtBCeEJQQjxCPEJsQrRC5ELkQsxCvELUQwhDREN4Q6BD0EQQRGREqETMRPRFbEY4RvhHHEaMRdhFkEVgRBhAiDqAMuArACQYHygdCB4cIbQmNCnwLDwtjC6QL3Qv4C+gLvAuQC2ULIwrECmkKRgplCpUKjQosCZMJBQiuCIcIcAhUCDQIGAf8B9YHowdtBz4HEwbjBq0GeQZNBioGCQXjBbYFggVGBQUEzQSrBKIEpASdBIIEXAQ1BBQD8QPGA5kDdQNeA0wDMAMKAuACvAKfAoUCaAJKAioCBAHYAasBggFeAT8BJAEQAQAA6wDIAJwAeABpAGoAagBdAEoAOgAwACUAFgAKAAT//v/s/8z/qP+M/3n/af9W/0P/Nv8u/yf/Hv8W/xD/Cf7+/uz+1/7E/rb+qv6a/oL+Yf46/hT99P3Y/b79o/2I/W39Uv03/R79B/z0/OL80vzE/Ln8sPyl/Jj8i/yB/Hr8c/xu/Gn8Zvxh/Fn8TvxD/Dn8MPwn/B/8GvwV/Ar7+vvo+9n7z/vH+8D7ufuv+6D7kPuD+3v7dvtu+2L7VftO+0n7QPsx+yT7H/sg+yL7IPsd+x37Ifsk+yb7Kvsz+zz7Pvs8+zz7RftT+2L7bPtz+3f7eft6+3z7gfuH+4v7j/uV+537o/uk+6T7pvut+7b7vPu/+7/7vvu++8D7xfvJ+8r7yPvF+8b7y/vO+837y/vM+8/70vvS+9P71vvZ+9z73/vj++n77/vy+/f7/vwG/Az8D/wT/Br8JPwr/DL8OfxD/Ev8UfxY/GP8cfx9/IP8hvyL/JH8lPyU/Jb8mvyf/KH8ovyl/Kz8tfy+/Mf80vzc/OH85vzt/Pn9Bv0S/Rz9J/0y/Tn9O/09/UX9Uf1d/Wb9bv16/YX9i/2O/ZP9n/2r/bP9tf26/cb91P3e/eX96v3v/fP99f35/gH+Df4X/h/+KP4z/j/+Sf5R/lz+av54/of+mP6u/sf+3P7t/v7/E/8p/zv/TP9g/3j/j/+i/6//uv/E/8j/xP/A/8L/zv/d/+r/8v/3//4ABwASAB4AKgA0ADwARgBTAGEAawBzAIEAmQC6ANkA8AECARUBLgFJAWEBdwGOAagBxwHoAggCKQJMAnACkwKvAsMC1QLvAxMDPANiA4QDpgPJA+gEBgQpBFkEjwS/BOEFAAUnBVUFgAWkBcoF9wYiBj0GRwZHBioFywUcBGYELQTRBjsH8wmNCu4MJw0kDaINdQzMDBALggsLCncJyAlACRwJUwmkCdsJ9woTCjUKQQoiCesJ0An+CmkK0QryCrIKNAm2CV4JIgjjCJEIPAf5B8oHogd2B0wHKQcLBuwGywawBqQGoQaeBpUGjAaHBoQGgQZ8BnUGaQZWBj4GJgYTBgAF7AXVBcAFrAWTBXIFTgUuBRQE+QTTBKEEYgQaA8wDgAM4AvICrAJuAkQCOAI7AioB5wFrAMwAK/+l/0b/Cf7e/rb+iv5j/kr+Qf4+/jP+HP37/dP9pP1x/T79FPz1/OH81PzO/ND82/zu/QT9E/0P/Pf80/y0/Kr8u/zd/P/9Ff0Z/RL9Df0W/TH9Vv17/Zv9uf3V/e7+Cf4w/m3+vv8W/2f/rP/oABwARgBjAHUAhACVAK4AzgDyAQ8BGQEQAQIA/gEIARYBIgErAToBUQFxAZoBzQICAicCLQIcAggCAwINAhwCKAI3Ak8CawKHAqICwgLnAwoDIgMxA0EDWQN2A5QDrwPKA+YD/wQTBCQENwRNBGMEdQSGBJYEqAS8BNIE6AT8BQ0FGwUrBT4FUAVfBWoFdAWDBZQFpQW0BcEF0AXiBfUGBwYWBiEGKwY3BkkGWQZfBlsGUgZIBj8GMQYeBg4GCgYQBhQGDwYEBf0F+wX7BfcF8wXzBfgF/QX/BgEGBQYIBgYGAwYGBhUGKgY4BjwGQAZMBmAGdQaHBpsGtwbcBwAHHAcuBzoHQwdRB2QHfgecB7sH2QfyB/gH4Qe6B6IH1QgaCEEIMggOCB4IhAkRCWQJSQjiCIUIcQieCNsI/Qj+CO4I3wjZCNkI3QjhCOcI9QkMCSQJLwkxCToJWAmFCagJsAmkCZsJpAm6Cc4J2AnaCdsJ4AnuCggKKwpOCmcKdgqBCpAKnwqsCrkKzwrvCxILLAs6C0cLYwuVC9UMDgwnDBcL7gvRC+IMIQxtDKEMsQytDLAMygz8DUMNmQ3zDj0OZQ5mDk8OMg4eDhoOHw4hDhAN6g28DZ4NmA2jDa0NrA2iDY8Ncg1MDS8NLg1KDWoNcQ1YDTANCAzfDKoMbAw4DCEMHwwcDAALwgtlCvMKewoQCcAJjglqCUgJIgkACOsI5QjpCPQJAwkVCSgJPAlTCWoJeAl6CXQJbQleCTYI5wh3B/4HlQdEBwwG5gbQBscGxwbMBtYG5QbzBvsHAAcNBygHTQdzB5IHrgfKB+kIEAhOCKgJEgluCaYJvAnECcwJ0gnMCb0JrwmkCZMJdAlICRoI8wjRCLQInQiLCHcIWgg2CBUH+wfnB9UHwwe1B60HpQebB5EHiQd+B2oHUwdHB08HZQd+B5AHmgegB6kHuAfPB+EH5QffB+QIAQgkCCoIAwfTB8YH5QgECAAH5AfeB/wIFQf7B7QHdAdZB0gHEQazBlwGOgZFBk8GPQYaBf8F8AXhBcwFuQWzBbQFrgWhBZIFhQV2BWEFTAU9BTEFIgULBPQE3wTLBLMElwR9BGoEVwQ/BCIEAwPmA8kDqwOPA3QDVwM4AxgC/QLmAs0CsAKSAnUCVwI1AhMB9gHkAdYBwgGlAYYBagFQATMBEgDwAM8ArgCJAGEANgAJ/9j/pP9y/0L/EP7b/qX+dv5M/iD97P22/YT9XP05/RT87PzD/Jb8Zvw5/BX7+fvW+6P7Y/sp+wD63/q6+on6Vfos+hP6BvoA+f/5/vnx+c/5lvlM+Pv4rPhm+Cv3+ffF94z3TvcU9uH2sfZ89kT2EvXq9cj1qPWJ9Wv1T/Uv9Qf02fSr9IX0cvR59JX0sfSx9Iv0TfQN89Tzn/Nq8z3zJPMa8wry5vK28ozyc/Jg8kPyGfHs8c7xy/He8fHx5/Gv8VLw8PCm8HXwU/A88DjwR/BU8EfwJPAH8AfwHfAu8CzwI/Aj8C3wNPAx8CrwJvAi8B3wHvAr8ELwV/Bk8HHwhvCc8KjwqfCt8Ljwv/C58LLwvvDh8QTxFPEc8TbxbvG08fjyOfJ58qXypvKI8ony7POu9IT1G/VZ9WL1aPV99Zb1qvXA9dz1+fYQ9h/2LfY69j72MvYg9hj2IvY19j32LvYN9fP1/vY69pX24Pb69uT2xPbG9vj3QveG97H3yPfe+AH4M/hn+If4h/hp+EH4Jfgd+Cn4Qvhl+JD4wPjt+RL5MvlW+Y/56vpl+ur7V/uO+477cftc+2b7kvvW/Cb8fvzf/Uv9xP5E/sH/NP+Y/+8ANgBuAJsAyQD9ATMBYAGLAdACRALWA1IDiAOCA3MDiQPHBAsEQwR7BMMFFAVOBV0FUAVEBUUFRAU0BR0FGQU2BW4FsAX0BkIGngcFB2wHxwgOCEIIaQiSCMYI/gkrCUgJYQmLCckKDgpLCoQKxwsSC1cLhgurC9wMHAxRDFgMLgv1C9ALvwuWCysKfAm7CS0I+gkVCUwJbwlwCWAJWAlfCWkJcAl/CakJ8go+CmgKZgpWCmsKwAtAC7EL5QvdC8MLvgvWC/cMDQwWDB4MKww5DEUMUQxjDHQMfAx3DG0MYwxbDFMMUwxlDH8MjAyGDI4M0Q1VDeYOPg5JDjQOOg5qDqIOuw6zDqoOvA7pDxsPQg9bD3EPig+qD8wP6Q/+EBMQORByEKsQyhDFEKsQkhCBEHQQZxBiEGsQfBCKEJAQkhCYEKUQshC9EMcQ0hDfEO4Q+xEHERIRJRFIEXURlRGTEXIRUBE+ERgQmA9/DdIL0gncCEQHTAcgB7cIyQnhCqsLGQtZC5cLzwvkC8sLmgtvC0sLEwq6ClQKDwoAChEKCwnLCVkI3wiGCFgIQwguCBIH8AfQB7AHiwdgBzEHAQbRBp0GagY7BhYF9gXTBaUFbAUuBPEEwQSjBJcElASKBHEESwQlBAMD4wO/A5cDdANbA0cDLwMMAuMCuwKZAnwCYwJKAi0CCQHdAbABiAFlAUMBJQEQAQMA8gDSAKUAfgBrAGoAaQBeAEwAPAAxACYAGwARAAwABP/w/9D/rf+R/3v/Zv9Q/zv/LP8g/xT/B/77/vT+7/7m/tj+yf69/rT+q/6d/oP+X/41/g797v3U/br9nv2C/Wn9T/0z/RX8+vzl/NT8xfy3/Kr8nvyT/Ib8evxv/Gf8YPxa/FT8UPxL/EX8Pfw2/C78Jfwb/BP8D/wL/AX7+fvq+9371PvN+8f7wfu3+6n7mfuM+4X7fvtz+2T7V/tQ+0z7Qvs0+yn7J/sr+yz7Kfsm+yf7Kvsq+yv7MPs7+0X7SftH+0n7U/tg+2j7avtq+277dvuA+4n7kPuV+5X7lfuZ+6D7qfuu+7L7tvu9+8T7yPvI+8b7w/vA+7/7w/vI+8r7xvvA+7/7w/vH+8j7xvvG+8r7zvvQ+9H71fva+9373vvf++L75vvq++778/v5/AD8B/wN/BL8F/wd/CT8Lvw4/D/8RPxL/Ff8Zvxy/Hj8fPyD/In8i/yK/Iv8kPyV/Jf8mPyb/KL8q/yz/Lv8xfzQ/Nj83vzk/O789/z+/QT9Dv0b/SX9K/0v/Tf9Q/1O/Vf9X/1q/XX9e/1//YX9kP2b/aD9ov2n/bP9wf3K/c/91P3a/d/94v3k/ev99v4C/g3+GP4j/iz+NP48/kj+Vv5l/nP+g/6Z/rH+xv7Y/ur+//8W/yr/O/9P/2b/ff+P/5z/pv+v/7L/sP+v/7T/wP/N/9X/3P/j/+v/9P/9AAYAEgAeACkANABAAE0AVwBjAHUAkgCyAM4A4QDzAQsBKAFEAVoBbQGFAaQBxwHpAgoCKQJJAmgChQKeArUCzwLvAxQDOwNhA4QDpgPIA+oEEAQ9BHMEqATSBPAFDAUvBVkFfwWiBccF8gYZBjAGOgY6BhwFtgUBBEcEBgSbBe8HlQksCpUL2AzbDV8NQgyvDAULeArzCkoJhwjtCLgI4gkvCWwJmAnLCggKMAojCe4JyQnmCkYKqwrLCooKDgmbCVIJIQjjCIoILwftB8YHpQd9B08HJgcGBucGxgaqBpoGlgaWBpUGlAaVBpYGlQaRBooGfgZuBloGSAY1Bh4GAQXlBc4FuwWhBXsFTwUoBQoE7ATEBIsESAQBA7wDeAMyAuQClgJYAjwCQgJPAjUB2gFFAJkAAP+R/03/JP8C/tz+sv6P/nn+b/5k/lD+M/4U/fP9z/2j/XP9RP0d/QH87/zl/OX87Pz8/Q79G/0a/Qj87PzT/Mr81fzt/Qn9Gv0c/RT9D/0Y/TD9Tf1o/X/9m/27/dz9/v4q/mr+vP8O/1H/gf+p/9QAAAAnAEIAUQBbAGcAfgCgAMUA4ADsAPEA+gEMASEBMQE9AUwBYAF7AZ0BywH8AiMCMAInAhgCFQIhAjICRAJYAnMCkQKsAsgC6QMQAzEDRgNSA2EDegOaA7kD1APwBA0EKAQ8BEsEWwRvBIcEnAStBLwEzATgBPUFDAUgBTAFQAVSBWUFdgWDBYwFlwWmBbYFxQXSBd8F8AYDBhcGKQY2Bj8GRQZOBlsGZwZpBmEGVQZOBkoGQgYyBiEGGQYaBhsGFAYLBgUGBQYHBgUGAgYCBgUGBwYHBgYGBgYEBf4F+gYABhIGJAYuBjEGOwZRBmwGggaSBqcGygb4ByIHPAdDBz8HOgdDB2MHkge+B9QH1AfIB7gHpQeXB9QH+wgYCBQH7wfVCAIIeQj0CRsI2QhzCEIIYwitCOUI9QjtCOMI3QjWCNEI0gjaCOQI8QkCCRYJJAkqCTIJSAlpCYMJiQmBCX4JiwmiCbUJwQnHCc4J2AnpCgYKKgpKCl0KZgpyCoQKlgqgCqUKsgrPCvULFAsmCzALQQtmC6IL6gwhDCwMDQvlC94MCwxVDJUMuAzIDNUM5Qz5DRUNTA2kDgsOYA6IDoAOWg4vDhEOAg33Dd4NsQ18DVgNTg1SDVINTA1HDUYNPQ0kDQYM/Q0RDS0NNA0ZDOoMtwyDDE4MHgwEDAUMDgwBC80LdgsMCp4KOAnjCaUJeglXCTYJGQkHCQAI/gkACQgJGwk0CVAJcAmWCb8J3AnlCdwJyAmqCXQJHAipCDIHzAd+B0YHIQcMBwUHBgcMBxYHJAcwBzcHPwdTB3gHpAfLB+sICAglCEAIXQiKCNoJRwm3CgsKOApJCkkKQAovChsKCwn8CeUJwQmVCWoJRgknCQ8I/QjsCNYItgiTCHUIYQhPCDwIKwggCBcICgf5B+gH2wfPB70HqQedB6IHswfHB9gH5gfwB/kICAgfCDMIOQg2CEAIZAiLCIwIWggfCBMIPAhlCFwIMAgYCCsIPwgcB8QHcAdKBz4HGgbOBoUGagZ3BoIGcAZLBi8GIgYXBgUF9QXtBesF4gXQBb0FrwWgBY0FegVsBWIFUwU9BSMFCwT3BOEEyQSzBJ8EiQRuBE4ELwQSA/YD2QO8A54DgANhA0QDLAMXAwAC4gLDAqQChQJjAkACJAITAgQB7wHSAbQBmwGDAWYBRQEkAQYA6QDFAJoAbgBBABT/5P+y/4D/Tf8b/ur+vP6Q/mH+Lv37/c39pP1//Vn9M/0L/N78qvx4/FH8M/wS++L7pvtr+z77GPrv+r/6kfpv+lv6UPpL+kj6Qfor+f75u/ls+R341viY+GL4L/f597/3g/dL9xr27Pa99o/2Y/Y99hv1/fXh9cP1nPVs9Tf1AvTQ9J/0dvRj9G30hPSO9Hz0W/Q+9Cf0B/PX86Tzf/No80/zJPLz8tDyxPK98qfyefJB8hHx/PIC8hPyDvHa8XnxCvCw8HXwTfAu8B/wJvA08DPwGO/77/fwEfAx8D/wOfAs8CTwIfAh8CLwJPAh8B3wHvAr8EHwVfBl8Hbwj/Cm8LDwsPCy8LvwwvC88LPwufDS8PDxAvEM8SXxWfGe8ebyKvJm8onyhPJt8oLy9PO79I31IPVe9Wz1cvWB9ZT1pfW29cj11/Xh9e72APYQ9g719/Xd9dT14/X39fj13vW99bf15vZH9rP29vbz9r/2j/aT9tP3Lfd696n3xPff+AX4Mvhb+HP4c/he+EL4LPgi+Cb4M/hJ+Gn4kvjA+Oz5FPk6+W35wPo2+rn7H/tI+zf7D/r5+wj7Nvtz+7v8FPyB/P79hP4L/pD/Cv92/88AFgBPAH4AqwDaAQkBNQFmAbICJgKvAyADWANgA2YDigPJBAYENgRnBKgE7AUUBQ8E8gTcBNcE1QTHBLgEvgTkBSMFbAW5BhAGcgbaBz4HkwfSB/oIFAg5CHYIwQkBCScJQwltCasJ7wonClgKkQrRCwcLJQs8C2QLmwvCC7oLjgtkC1gLUgsdCpkJ2wknCLgIowjMCQMJJAkmCRsJGgkqCUEJUQleCXoJswn2CiMKJwoXCh8KXAq/CxgLQwtIC0sLaAuXC78L0QvYC+ML9wwIDBMMHgwwDEUMTwxHDDcMKQwhDB0MJAw8DFwMbwxsDHMMsg01DcoOKQ4yDg8N/w4gDlcOdg5yDmYOcQ6cDtMPAw8kDzwPVg9zD5APpw+5D9MP/xA5EG4QiBCDEHAQXhBTEEkQQBA8EEMQUBBcEGYQdRCKEJ8QqRCsEK4QtxDEEM8Q2BDlEPwRHRFDEWMRbRFfEUQRMREeEN0QKw7fDQ4LAgkcB7IHAgciB+4JCgoNCrgLEwtOC4kLvQvMC7ELfwtRCykK9gqqCkoJ8Am4CacJpgmPCUoI4gh7CDgIGwgMB/QHzAelB4gHbwdNBx0G6Aa2BogGWQYrBgEF3wW+BZIFWQUaBOIEtwScBI4EhQR3BF0EOgQVA/cD3AO/A5sDdANUAzsDJAMHAuICuQKQAm8CWAJGAjICEwHpAbsBkQFrAUcBJwESAQUA9QDWAKsAhABwAGwAawBiAFEAQAA0ACgAHQAVAA4AA//t/87/r/+U/33/Zv9O/zr/LP8f/w/+/f7t/uH+1v7K/r7+tP6u/qz+qf6e/of+Yv42/g397P3S/bj9nP2B/Wn9Uv03/Rf8+Pze/Mr8ufyp/Jv8kPyF/Hn8bPxg/Ff8UfxM/Ej8Q/w+/Df8Mfws/Cj8IfwW/Az8BPwA+/r78vvo+9/71/vP+8f7vvuy+6X7lvuK+4D7d/tr+1z7UftL+0b7Pfsy+yv7LPsw+y/7K/sp+yv7L/sw+zD7NftB+0v7T/tR+1b7Yftn+2T7Xfta+2T7dfuF+5H7mfud+5/7ovun+6/7t/u9+8D7xfvL+9H70vvR+8/7y/vG+8P7xPvJ+8z7yfvC+777wPvD+8X7xPvE+8f7yvvM+8370fvW+9r72vvY+9r73/vk++j76/vv+/b7/vwF/Ar8DPwP/Bf8JPwv/Db8Ofw//Ev8Wfxk/Gv8cvx5/ID8gfx//ID8h/yO/JL8k/yY/J/8p/ys/LP8vPzI/NP82/zi/On87/zy/PT8/P0I/RX9Hv0l/S79Of1C/Uj9Tf1W/WD9af1x/Xn9hP2O/ZL9lP2Z/aP9sP25/b79xP3L/dH90/3V/dr94/3u/fr+Bv4S/h3+J/4x/j7+TP5Y/mP+cf6G/p/+tv7J/tr+7v8D/xf/Kv8//1X/af94/4P/jf+W/5r/mf+b/6P/sf+8/8P/yP/R/93/5v/s//L/+gAGABQAIQAuADoARgBUAGoAiACoAMEA1QDqAQgBKAFDAVgBbQGIAagByQHmAgQCJQJFAmECdwKNAqcCxQLoAw4DNANcA4IDpgPIA+sEFARCBHQEpATLBOwFCgUsBU4FbgWNBbEF2QX7BhEGHwYiBgAFlATdBCQD5ARxBbYHUgjlCkoLgQx2DP0M/wycDBMLggrYCgIJHghyCDIITgiPCMkJAQlPCbEJ/goNCeIJsgm9CgwKbAqUCmQJ/AmUCUwJFAjNCHEIGQfeB74Hogd4B0YHGwb6Bt0GvwakBpMGkAaVBp0GqAaxBrcGtQarBpsGhwZ0BmUGWgZMBjAGCwXmBc4FvQWlBX0FTAUfBP0E3gSzBHkENQPyA7UDeQMzAuACjgJVAkcCWgJlAjkBxQEfAHb/8f+c/2r/Rv8g/vX+y/6q/pX+hP5v/lL+Mf4U/fz94f29/ZH9ZP09/SD9DPz//Pn8/f0J/Rv9Kf0r/R79B/zv/OD83vzq/P39Df0U/RP9E/0g/Tf9Tv1d/Wv9gv2n/dT+A/44/nz+zP8V/0f/Y/92/5D/tP/dAAIAHQAuADgARQBdAIAApADBANQA5AD4AQ4BIwE4AU8BaQGEAaIBxgHxAhYCKwIuAioCLQI7AlACZgKAApwCuALRAuoDCQMtA0wDYANtA38DmwO8A9oD9gQUBDUEUgRmBHMEgQSVBK4ExQTYBOcE9QUHBRwFMgVFBVUFZQV3BYsFnAWpBbQFwQXPBd0F6QX0BgEGEwYlBjcGRgZQBlYGWAZcBmMGawZrBmIGWQZXBloGWQZNBjwGMAYqBiYGHgYVBhEGEwYTBg8GCQYGBgYGAwX/Bf0F/gX9BfoF+gYEBhUGJAYtBjYGSwZrBocGlwakBr4G7QckB00HXgdWBzwHIwchB0UHhAe5B8gHsgeVB40Hmwe0CBgIEwf7B9cHtQe9CA0IiwjmCNwIfQgiCBgIXQixCNwI3wjZCNsI2wjRCMUIxQjTCOMI7gj5CQsJHQknCSoJMglDCVIJWQlbCWQJeAmPCZ8Jqgm0CcAJzwnhCfwKHQo6CksKVApiCngKjAqUCpUKnAqyCtAK6gr6CwMLDwsoC1oLpgv2DCcMJAwAC+gL+wwzDHAMoQzGDOUM+Qz5DPANAw1KDbwOLg5zDngOSQ4GDc0Nqw2WDXwNUA0cDPcM5QzdDM0Muwy3DMcM2gzbDMsMwAzJDNwM4gzPDKoMfQxMDBsL9gvrC/UL+QvZC44LKAq+ClwKBwnCCZAJbAlOCTQJIwkeCSAJIQkiCSsJQwlmCYwJtgnoCh0KRQpQCj4KGwnqCaIJPwjKCFcH+AexB34HWwdIB0IHRAdLB1YHYwdsB3IHfwebB8UH7wgSCDAIUQhzCIsImAiyCPoJcwoCCnoKwQrYCtEKvAqiCooKdApcCjwKEgnlCbwJmAl3CV0JSAk1CRwI/AjfCMsIvQitCJkIiAh+CHYIZwhSCD4IMQglCBMH/gfyB/YIBQgYCCoIOghHCFIIYgh7CJIIlwiQCJQItAjcCNwIpwhpCGEIlAjFCLoIfAhICEIISgglB84HdwdOB0MHKAbrBq8GmgalBqwGmAZ2Bl8GWAZRBkMGNAYsBicGGAYABekF2gXOBcAFrgWeBZIFggVqBVAFOAUkBRAE+gTiBMoEsQSVBHcEXARCBCYEBgPmA8cDqwOPA3UDXgNIAy4DEALuAs4CsAKQAnACVQJCAjECGwH/AeQBywG0AZcBdgFXATwBIQD9ANIApQB7AFIAJf/x/7v/if9b/y//Af7R/p7+bf4//hT97P3D/Zv9dv1Q/ST87vy4/I38bfxO/CL76Pur+3X7R/sf+vf61fq7+qj6nPqT+oz6gPpk+i/55vmU+UX5APjE+I/4Wvgj9+n3sPd690n3Gvbt9sH2lvZs9kH2HPX89dz1s/WC9VL1KvUG9Nn0pPR19Fr0UPRE9DH0IPQd9B/0DvPh86nzfPNf80LzGvLx8tzy3fLd8snynPJl8jbyGvIR8g/yAfHQ8XzxG/DK8JHwZPA68BrwFPAg8CjwGfAC7/3wGPBC8FzwWfBD8CvwHfAY8BnwG/Ac8B3wJfA28EnwWPBk8HXwj/Cq8LjwufC48L3wwvC/8LnwvPDN8OLw8fD/8RrxS/GP8d7yL/J18pfyjfJ28pTzFPPf9Kr1MfVo9XT1e/WK9Zj1ofWn9av1qfWn9a31v/XR9dH1uvWh9Zr1pfWw9aX1ivV49Y/12/ZH9qn21fa/9of2Y/Z59sb3Jfdz96T3wffc9/34IfhD+Fv4YvhX+EH4Lfgi+CP4Lfg8+FH4cfid+ND5APkq+Vr5pfoU+pL68PsL+ur6ufqo+sH68/st+277yPxA/Mr9Vf3Y/lP+yP8z/4//3QAgAFoAjQC7AOQBDgFGAZkCDQKPAvoDNwNNA18DhAO5A+0EGARGBHwEqwS7BKYEhARvBGsEZwRcBFgEbwSlBOsFMwWABdgGOQadBvoHTAeKB7AHyQfrCCsIgQjPCQMJJwlUCZMJ1QoKCjYKaAqdCsYK2AriCvkLHAsvCx4K/QrvCvgK7gqcCfgJMwiUCEwIVwiSCMwI5gjdCMoIzQjzCSUJRQlGCUQJXwmcCdkJ8gnlCdcJ6QoeClgKgQqgCs0LDgtSC34LjguVC6ULvQvSC94L7AwDDBsMJAwZDAQL9AvtC+0L+QwVDDgMTQxLDE0MhQ0DDZsOAg4SDeoNzA3gDhIONQ40DiEOIA5BDncOrA7SDu0PCA8nD0gPYw97D5gPxA/6ECcQPBA5ECwQIhAcEBcQFhAdECoQNhA+EEcQXBB6EJEQlxCSEI4QlBCgEKkQtBDJEPARHxFEEVERRRErERgREBD7EJ4Pvg5FDFcKSAh/B1AG7QdPCDcJRgomCrULCAtFC3oLoAunC44LZAs0CwEKygqGCjMJ2AmNCWwJdwmHCWcJBgiGCCMH+AftB9oHsQeDB2UHUwc3BwUGygaXBm8GRwYbBe8FygWoBX0FRgUKBNUErwSWBIYEdwRmBEsEKgQHA+sD1QO8A5kDcANJAysDFQL+At8CtwKLAmUCTQJCAjcCIQH7AcsBnAFxAUoBJwEPAQAA8ADTAKwAhwBxAGsAaQBiAFUARgA4ACkAGgAPAAb/+v/m/8v/r/+U/3v/Y/9N/z3/MP8j/xD++/7n/tX+xP60/qf+oP6d/p3+nf6Y/of+af5A/hf99f3Z/b79of2F/W39Vv08/Rz8/Pzf/Mj8svyf/JD8hvx+/HL8ZPxW/Er8Q/xA/D78PPw2/C/8KPwk/CL8HPwS/AT7+fvy++376Pvj+9771/vN+8H7tPup+5z7j/uD+3j7bvth+1X7TftI+0P7Ovsy+y/7Mvs2+zX7L/st+zL7Ofs9+0D7RvtO+1X7VvtZ+2H7avts+2P7Wftc+2z7gvuR+5f7mfud+6T7rvu4+8H7xvvF+8X7x/vM+9D70fvQ+8/7zvvL+8f7x/vL+9D7z/vI+8L7wfvD+8T7xPvD+8X7x/vI+8n7zPvR+9T71PvS+9L71/vd++L75fvo++379Pv7+//8APwD/Av8GPwl/Cz8MPw2/EH8T/xZ/GD8Z/xu/HP8dPxy/HX8ffyH/I38j/yT/Jr8ofyn/K38t/zE/M/81/zf/Ob87Pzv/PD89v0C/Q/9GP0f/Sj9Mv06/T79Qf1H/VH9Xf1o/XP9f/2J/Y79j/2S/Zv9pf2v/bf9vv3G/cr9zP3N/dH92f3j/e79+f4G/hL+Hv4q/jn+Rv5P/lb+Yv52/pH+q/6//s/+3/7v/wH/F/8v/0b/V/9h/2n/c/9+/4T/hf+I/5L/of+t/7P/uv/E/9H/2//f/+L/6f/1AAQAEwAiAC4AOQBHAF0AewCaALUAzQDoAQcBJgFAAVYBbgGNAawBxwHfAf0CIQJEAl8CcgKGAqMCxQLpAwwDMANXA30DoQPCA+MEBwQtBFQEfASmBNEE+QUbBTcFUAVtBZEFtgXWBfAGBQYMBeMFbASuA/sDxARUBZcHMAjAChYLLwwGDI4MugyVDDALkAqwCaIIowf5B8IH3QgRCD8IeQjaCVsJygn1CdoJrAmsCesKQAprCksJ8wmRCT4I9QilCE0IAgfRB7MHkwdnBzcHDwbyBtgGvAaiBpQGkwaeBq4GvwbMBtMG0AbDBqwGkQZ6Bm0GZQZXBjgGDQXmBdAFxAWwBYgFVAUiBPwE2gSwBHYENAP0A7oDgAM7AukCnQJwAm8ChQKEAkEBtwEKAGr/9v+v/4H/WP8s/v3+0/6y/pj+f/5i/j/+Hv4E/fH92/29/Zf9cP1P/Tb9Iv0R/Qb9BP0N/SD9Mf03/S79Gf0B/Oz84fzh/O38/v0L/RP9G/0q/UD9U/1d/WX9d/2b/cv9//45/n/+zP8Q/zv/T/9X/2T/ev+b/8L/6QAIABwAKAA5AFYAeACWAKoAugDMAOQBAAEfAT8BYgGEAaQBxgHsAhICLgI8AkMCSwJaAm4ChgKhAr0C1gLsAwIDHQM9A1sDcwOGA54DvAPdA/wEGQQ6BF4EfQSSBKEErwTCBNoE8QUFBRYFJgU4BUwFYAVzBYMFkgWiBbMFwwXQBd0F6gX3BgEGCgYUBiIGMgZBBk4GWgZkBmkGagZqBm4GcwZ0Bm8GaQZoBmwGbAZhBlEGQwY5BjAGJQYcBhkGGQYWBg4GBQYBBf8F/QX5BfkF/QYCBgQGCAYTBiIGLgY5BkkGZgaFBpkGoQauBtEHBwc6B1kHXgdQBzQHFgcIBx4HUgeAB4wHfQd4B5gH0ggECD0ICAfRB64HrAfeCEoIxQkGCNwIbQgVCBYIXQijCL4IvQjACM8I0wjDCLAIsgjHCNsI5AjuCQEJFwkjCSEJHQkjCS4JOAlDCVUJbAmBCY4JlwmkCbUJxQnVCeoKBQofCjMKQQpUCmsKfgqECoQKigqbCrAKwQrOCtkK4grvCw8LUguwDAMMJAwTC/cL9QwXDEkMegysDOANBA0HDO8M5Q0RDXMN4g4qDi0N9A2iDVsNMg0gDQwM5wy4DJAMdgxfDD0MGQwKDB0MQAxYDFsMWAxcDGgMbwxnDFQMOQwWC/IL2gvZC+ML2gunC0wK4Qp+CigJ4QmoCYEJaQlYCUoJRAlHCU8JUwlXCWUJhAmtCdoKCgpCCn0KpwqwCpYKZQojCc0JYAjpCHoIIgfiB7QHlAeDB34HgQeIB5MHngemB64HvwfhCAsILghGCGEIhgiuCMUIxwjXCR4JqApSCucLQAtcC1ILOAsbCwAK4wrACpQKZAo1CgoJ4Qm7CZsJhAlxCVsJQQksCR4JEwkACOgI1QjMCMUIuAijCJEIhgh6CGcIUghHCE0IXwhzCIUIkwieCKgIugjXCPII9gjmCOAI/AkoCTEJAAi9CKgIzwj5COkInwhaCEUISQgwB+kHmQdrB1gHPAcLBtwGzAbUBtMGvQaiBpUGlQaRBoIGcgZqBmIGUAY0BhsGDQYFBfgF5QXQBb8FrAWVBXsFZQVSBT4FJgULBPAE1QS7BKMEjAR0BFUEMgQQA/QD3QPFA6oDjwN0A1kDOQMXAvYC2QK8Ap8ChAJvAlwCRwIuAhMB+wHiAcUBpQGHAW0BUgEvAQYA3QC3AJAAYgAs//X/xf+b/3H/Q/8P/tr+qv6A/ln+L/4D/dj9sf2N/WP9MPz6/Mv8qPyJ/GD8Kfvo+6n7dftP+zP7H/sM+vr65vrV+sX6sfqM+lP6Cvm7+XD5LPjw+Lr4hfhP+Bf34fet93v3Svcc9vD2xfaY9mj2PPYW9fL1yPWX9Wv1TPU09RT04/Ss9Hv0UfQn8/7z4PPW89HzufOG80vzIPMG8u/y0fK38q/ytfKy8pnycPJL8i/yF/H78dvxtvGG8UnxCfDV8K3wh/Bb8DLwIPAl8C3wI/AN8AbwHvBI8GjwbPBY8D/wLfAj8B3wFvAU8BnwKfA+8FHwXfBm8HnwmfC98NTw2fDS8Mrww/C+8L3wxPDR8N/w6/D88RzxTfGR8efySfKf8sbytPKS8q3zMPP+9MT1P/Vr9XP1fPWN9Zj1mPWR9Yf1e/Vw9W71e/WL9Yz1fPVp9WP1Z/Vj9VD1O/VB9XL1x/Yl9mn2fvZp9kf2QfZq9rn3EfdY94j3p/fA99v3+fga+Db4RfhB+DD4H/gZ+B/4K/g1+EH4V/h++LT46fkY+Uj5kPn8+nX6y/rY+qb6a/pZ+nn6tPry+zb7lvwY/Kj9Lv2i/g3+dv7f/0D/mP/nADAAbgCeAMQA6wEiAXgB6wJqAtYDGwM6A0sDYQOCA6cDzgP6BCYEQwRDBCoEEQQIBAoEBwQBBAsENQR5BMMFCAVOBaAF/AZXBq0G+wc9B2sHhweoB+UIPAiUCNUJBQk3CXgJugnxCiEKVAqKCrMKwgrDCsQKxQq5Cp8KjAqUCqMKhAoPCVQIlQgWB/EIFAhYCJMIqQiXCH4IiwjQCSkJWglJCRoJDAk8CYgJuQm3CZoJjAmcCcAJ7AokCnEKyQsTCzsLRwtPC2MLfguTC6ILtgvTC+4L9wvpC9MLxAu/C8IL0AvvDBUMKgwjDBoMQgyzDUsNwA3jDcQNoQ2nDdAN8g3zDd0N0g3pDhoOTw51Do4OqQ7PDvwPJQ9GD2QPig+4D+AP+RAAD/0P9w/wD+oP7A/7EBAQIBAnEC8QQRBbEG4QchBuEG0QdRCAEIkQlxC2EOgRGxE4ETMRFxD7EO4Q6hDFEEUPOA2XC5cJlAf5BxUHAwegCJcJiAo9CrILAQs/C2sLfAt1C2ELRQsaCt4KmQpVCgsJtwlnCT8JUQl6CXMJFwiGCAoH0gfLB8IHnAdsB0sHOgcgBu4GsQZ9BlgGNwYOBeEFuAWSBWYFLwT3BMcEpgSOBHsEaARUBDkEGAP2A9oDxAOtA40DZQM9AxwDBQLxAtgCtQKJAmECRgI7AjYCJgIFAdgBpwF4AU0BJwEJAPYA5gDOAK4AjQB0AGcAYQBaAFIARwA3ACQAEAAA//b/7P/e/8r/sv+X/3v/Yf9O/0H/Nf8m/xH++/7k/s7+uP6n/pz+l/6T/pD+jf6K/oH+bf5M/if+Bv3p/cz9rf2O/XP9Wf09/R38//zj/Mv8s/yd/Iz8gfx5/HD8Y/xU/Eb8Pfw4/Df8N/wz/Cv8Ifwa/Bb8EvwK+/778vvo++L73vvb+9j70fvG+7j7q/uh+5j7jfuB+3b7a/tg+1X7TvtI+0P7PPs2+zb7PPtA+z37OPs3+z/7SvtT+1r7X/tj+2P7Yfti+2n7cPtx+2r7Zvtw+4b7mfuh+537mvud+6b7svu9+8P7w/u++7n7ufu9+8D7v/u++8D7xPvG+8X7xPvH+8v7y/vG+8D7vvvA+8L7wvvA+8D7wvvD+8T7x/vL+8/7z/vO+8370PvV+9v73/vi++b76/vx+/X7+fv8/AP8DfwY/CD8Jvwu/Dr8R/xR/Ff8W/xg/GP8ZPxl/Gn8c/x9/IT8h/yK/I/8lfyc/Kb8s/y//Mn80PzX/N/86Pzu/PL8+f0E/Q/9F/0c/SP9LP01/Tr9Pv1D/U39Wf1m/XH9ff2G/Yz9jf2Q/ZX9nv2o/bL9u/3C/cX9xv3I/c391v3h/ez99/4D/g3+Fv4h/i7+PP5F/kz+Vv5q/oX+of63/sj+1P7g/u//BP8d/zT/Q/9J/1D/Wv9n/3D/c/92/4D/j/+c/6X/rf+4/8X/z//T/9f/3v/r//oACQAYACYAMwBBAFYAcgCTALEAzQDpAQgBJAE8AVMBbwGOAasBwgHaAfkCIAJCAlcCZQJ6ApkCvwLhAv8DHQM9A10DfAOcA8AD5QQHBCYESQR2BKgE1QT1BQ0FJgVHBW0FkwW1BdgF+QYBBcwFQQR7A88DpgRBBYgHIgiqCegK2AuQDB0MegyTDEsLkwp6CT8IOQeqB5AHtQffB/8INgikCTgJugn2CegJwwm9CeoKKApECiUJ1wl6CSAIzAh4CCoH7gfGB6YHgQdVBywHDAbxBtQGtgagBpcGngauBsAGzgbYBtwG2QbPBrsGowaMBnwGcQZfBj0GEwXwBd8F1wXFBZ4FZwUyBQgE4wS4BIAEPQP6A7oDfAM4AvECtgKaAqICswKhAkwBuAEOAHgADP/D/43/W/8r/v3+0/6u/o3+bv5O/i7+Ef34/eT9zv2z/ZP9c/1Y/UL9MP0e/Q79Bf0H/RX9Jf0u/Sr9Gv0G/PL85fzh/On8+P0J/RX9IP0v/UP9VP1e/Wb9dv2U/b397P4j/mf+sf7z/yD/N/9D/07/Xf90/5b/wP/qAAoAHwAyAEoAZAB5AIYAlACrAMwA8AERAS8BTgFxAZcBwQHtAhgCPAJUAmICbAJ4AokCngK3AtIC6QL9AxADJwNDA2ADfAOYA7cD2AP6BBkEOQRdBIIEoQS4BMoE2gTtBQIFFgUqBT4FUQVkBXgFjAWfBbEFvwXMBdkF5gXzBf8GCwYWBh4GJgYwBjwGSAZRBlkGZQZ0BoAGhQaGBokGjgaRBo0GhQZ/BnoGcgZlBlUGSAY+BjIGJAYZBhYGFQYQBgcGAAX/BgIGAwYDBgUGDQYUBhkGHQYlBjIGPgZKBlwGdAaKBpUGmwavBtcHBQchByYHJAcrBzQHMwcmByAHKQc2BzwHSAd2B8oIIghOCCMH1QeiB5sHuwgDCHMI5wkgCPgIjwg2CCgIVAiCCJMIlgilCLoIvQinCJMIlwiwCMYI0QjbCPEJCgkUCQ8JCQkNCRsJKgk4CUsJYgl2CYAJiQmXCasJuwnHCdMJ6AoBChkKLwpHCmAKbwpzCnEKeAqGCpYKoQqsCrsKxgrJCtcLCgtoC9EMEwweDAsMAgwTDDAMUwyBDL4M+Q0VDQoM+Q0JDUcNlg3HDb4NgA0vDO0MzAzCDLYMlAxiDDEMCwvmC7ULgAteC2ELfgueC7ELvQvMC9wL6QvsC+gL3gvOC70LuAvBC8kLsgtuCwoKoQpHCf4JwgmWCX4Jdwl2CXYJeAmACYsJkwmdCbIJ1QoACi4KYQqbCtYK/gsCCuEKpgpZCfkJhgkNCKAISwgPB+YHzAe/B7wHvgfFB88H2AffB+gH/QgiCEoIZAhzCIgIrwjaCPEI8QkCCVEJ6wqmC0cLpwvHC8ALqAuMC28LSwsfCusKtQqCClMKJQn6CdcJwAmvCZ0JiQl4CWwJXwlKCTEJHgkWCRAJBAjyCOMI2gjNCLkIpAidCKgIvQjSCOEI6wjvCPUJCAkqCUwJVAlCCTcJUgmGCZwJcQkiCO4I8QkCCOgInwhbCEYIUAhGCBAHyAeSB3QHVgcvBxAHBgcIBv8G5wbUBtEG2AbTBsEGrgajBpsGhwZrBlMGRwY/Bi8GFwX+BeoF1gW/BagFkwWABWsFUAUzBRkFAAToBNIEuwSiBIMEXgQ9BCQEEAP4A9kDuQObA4ADYgNBAyEDBALpAswCsQKYAoUCcgJcAkICKAIOAfEB0wG2AZsBgAFgATwBFwDxAMkAmQBlADEABP/c/7L/gv9N/xj+6/7D/pv+b/4//hD95v3B/Zr9a/03/QX83fy7/Jb8ZPwm++b7sfuN+3j7bPtd+0f7LfsS+vf61vqn+mz6J/nh+Z35Xfki+O34ufiF+FD4G/fn97T3gvdS9yj3APbV9qj2evZS9iv1/vXJ9Zf1cvVX9Tr1FPTn9Ln0ivRS9BXz4PO685rzb/M28v/y3PLJ8rbyn/KP8o7ykfKD8mLyPvIr8iDyB/HT8Y/xUPEg8Pzw3vDF8LLwm/B78FrwRfBB8D/wMPAX8AvwGvA78FfwX/BX8EzwRvBA8DPwIfAU8BXwJvA+8FPwYvBz8JLwwfDz8RXxHfEM8O/w0vDC8MPw0fDg8Orw8vEF8SnxXfGg8fnyaPLO8v3y5vK38sbzRPQR9NT1R/Vs9XD1fPWO9Zb1jfV69Wn1WfVL9UL1RPVI9UP1N/Us9Sn1KPUb9Qf0/vUY9VX1ofXi9gb2D/YL9g32JfZY9p325fci91H3cveK96D3uvfZ9/f4CPgJ9//3+ff++Ar4F/ge+Cb4OPhc+I74w/jx+SH5afnT+kv6nvqo+nH6MPoa+jr6ePq7+wX7avvs/Hf88f1X/bf+Hv6K/vP/VP+uAAMASgB+AKEAwgD0AUYBuQI6AqsC9QMVAxwDHwMrA0IDYwOKA60DwAO8A6wDpAOrA7UDuQO9A9YEDwRbBKME4QUgBWoFvQYOBlkGowbnBxwHQAdkB58H9ghSCJwI1QkPCVMJmQnWCgwKRQp/CqsKvAq1CqAKggpcCjoKLgo5CjUJ8QldCKEIAweuB6YH0ggTCEsIYAhQCEEIaQjZCVwJnAlyCQ8IzQjhCSwJbQl8CWcJVAlZCXMJnwniCjwKmQreCvwLAwsNCyQLPgtSC2MLfQuhC78LyAu9C6oLnguaC5wLrQvQC/sMEQwDC+cL9AxLDNkNXA2bDZQNdA1tDYcNpw2wDaUNnw22DegOHA4+Dk8OYw6LDsEO9A8XDzAPTA9zD54PwQ/ZD+MP4Q/WD8YPvw/JD94P8xACEAwQGxAuED0QRRBLEFQQYBBoEHAQghCpEN0RChEYEQcQ5xDPEMcQuBByD78Ofgy8CroI2weDBvUHNAgACPcJxgpRCq4K+gs6C1wLWgtFCzQLJQsCCsEKcQonCeMJkwk9CQUJDAk5CUYI/AhxB+4HrQelB6MHhQdYBzQHHwcEBtUGnAZqBkcGJgYABdQFqQV+BU4FGATlBLwEngSEBGwEVQQ+BCMEAQPeA8ADqQOTA3gDVAMvAw4C9QLgAsoCrgKKAmQCRgI1AisCGwH+AdUBqAF9AVMBKQEGAO0A3ADLALYAmwCAAGoAWwBRAEkAQAAwABsAA//w/+T/3v/W/8n/tf+b/33/Y/9Q/0P/N/8o/xP+/f7m/s3+tv6k/pv+mP6U/ov+gv59/nn+bf5V/jb+Fv34/dn9uf2Y/Xj9Wv07/Rz8//zn/NH8uvyj/I/8gfx3/G78ZPxY/Er8P/w3/Db8Nvw0/Cv8HvwS/Az8CPwD+/v78Pvl+9z71vvS+8/7yfu++7L7pvue+5f7j/uF+3r7bvti+1f7T/tK+0X7QPs9+z/7RPtH+0X7QPtB+0v7WPtk+2z7cPty+3H7bftt+3L7dvt3+3T7ePuG+5r7pvuo+6T7ovum+6v7rvuw+7L7sfus+6b7pPun+6n7qPum+6r7sfu3+7n7uPu4+7r7u/u4+7P7svu0+7f7t/u2+7X7t/u5+7z7v/vC+8b7yPvJ+8n7yvvN+9L72Pvd++D74vvn++378/v5+/78BfwM/BT8G/wk/DD8PvxH/Ev8TPxO/FH8VfxZ/F/8Z/xw/Hf8e/x+/IH8h/yQ/J38q/y4/MD8xfzM/NX84Pzp/PL8+/0H/RD9Fv0Z/R/9KP0z/Tv9QP1G/U79WP1j/W79ef2C/Yf9iv2N/ZH9l/2g/ar9tP26/b39vv3B/cn91P3h/e79+/4F/gz+Ef4Y/iP+Mf48/kX+T/5h/nr+lf6u/sH+zv7Z/uT+9P8J/x7/LP8z/zr/Rf9S/1z/YP9k/2//f/+N/5b/nv+p/7b/wP/G/83/1//j//H//wAOAB4ALwBAAFcAdQCVALQAzwDqAQYBIQE6AVIBbgGLAaQBuwHUAfUCGAIyAj4CRgJZAnkCnQK8AtYC7wMJAyEDOgNbA4gDuwPnBAoELARWBIMEpwTABNYE9gUjBVEFeQWgBc0F9wX7BbQFFARGA6YDlARDBZcHMAimCb8KggsdC7UMQQyMDFYLhgpHCPoIBweeB6QH0QfyCAgIPgizCU0JzgoHCfsJ2gnSCesKCQoJCeAJnAlOCP0IqAhTCAwH2Qe1B5QHbgdIBygHCwbrBscGqAaYBpsGrAa/Bs4G1gbYBtgG1gbSBsgGtwakBpIGgAZoBkYGIAYDBfUF6gXUBaoFdQVBBRcE8gTHBI0ERgP4A6sDZAMlAu4CyQK9AsYCzAKrAk4BwAEiAJcAKv/X/5P/WP8m/vr+0P6o/oP+Y/5H/i7+FP37/eP9yv2v/ZP9dv1d/Ur9Ov0s/Rv9C/0B/QL9C/0U/RX9Df0C/Pb87vzr/PD8/P0K/Rb9If0u/T/9Tv1a/Wb9d/2R/bH92f4K/kj+jP7J/vX/Ef8m/zn/Tv9l/4P/q//X//4AHQA4AFMAagB5AIEAkgCzAOEBDAEpAToBSwFmAYsBuQHrAhwCRwJmAnoChQKPApwCrgLFAt4C9QMKAx4DMgNIA2EDfQOdA8ID5wQKBCwETgRyBJQEsQTJBN8E9AUIBRoFKwU9BVMFaAV8BY8FowW5Bc0F3QXqBfUGAQYOBhsGJwYyBjoGQgZLBlUGWwZfBmUGcwaJBp0GqQatBq8Gswa0BqwGnQaMBn0GbgZeBlEGRwY+BjEGIgYXBhQGFAYQBgkGBAYHBg0GEQYSBhYGHwYmBikGKwYyBj8GTgZaBmYGdAaBBo0GnQa8BuEG9gbpBs4GzAb6B0EHdQd7B1sHMQcOBwQHJAd8B/EITAhbB9MHjQd3B40HuAfzCEsIswj4CO4IoAhOCC0IPghYCGYIcgiHCJwImwiFCHQIfQiXCKwIuAjECNsI8gj6CPQI8gj+CREJIQktCT4JVglqCXUJfQmMCZ8Jrgm2Cb4JzwnnCgEKHAo4ClIKYgpjCmAKZApvCnkKgAqLCp0KrAqvCrMK2QsyC6ML/QwjDCUMIgwoDC4MNAxMDIYM0w0RDSUNHQ0bDTMNWQ1tDVkNIQzfDK4MmQyVDIgMYgwnC+oLtwuIC04LDgraCsQKywrfCvYLEgszC1YLcAt+C4MLgwuBC4MLjQucC54LegssCsgKagogCeUJtwmYCY8JlwmkCa0Jswm9CckJ1gnnCgEKJgpQCnwKrgroCyILRgtDCxsK2QqFCiAJqwkzCMgIdgg8CBgIBAf9B/wH/ggDCAsIEwgYCCAINghaCIAImAiiCLQI2QkCCRcJGgkzCY8KMwrzC5ML9AwZDBoMCgvyC9ILqwt7C0MLCArPCpwKawo+ChkJ/wnuCd4JzQm8CbAJowmSCX4JcAloCWEJVAlECTgJLgkgCQwI+Qj2CQQJGgkuCTsJQglCCUQJVQl8CagJvAmwCaIJuAnqCgYJ4AmGCTUJEgkHCOYIpAhpCFgIYwheCDAH7AeyB40HcgdXB0UHPwc7BysHEwcFBwoHFAcPBvwG6AbdBtMGvwalBo4GgQZ1Bl8GQwYpBhYGBAXuBdYFwQWuBZcFewVfBUYFMAUYBP8E5gTLBK4EjQRtBFQEPQQiA/8D3AO/A6YDjQNwA1ADMwMYAvsC3ALBAqwCmwKIAnACVgI7AiECBQHoAcwBsAGSAXEBTgEmAPwAzgCeAHEARwAe//L/wf+N/13/Mf8I/t7+r/56/kb+GP3x/c39ov1u/Tf9Bvzf/L38l/xm/C/7/vvc+8j7ufum+4v7a/tL+yf6+vrC+oT6RPoH+cv5kPlX+SP48vjA+Iv4Vvgi9+73u/eL92D3OvcT9uf2u/aS9mv2PvYJ9dL1ovV79Vj1NPUR9PD0y/Sb9GD0JPPv873ziPNR8yTzCPL08tzywfKy8rHysPKa8nPyUPJB8jTyC/G68VrxD/Do8Nnwz/DB8LLwn/CK8HPwYfBX8EvwNfAb8AvwEfAj8DPwOPA78ETwU/Bc8FXwQPAq8CHwKfA78FHwavCO8MLxAvFB8WvxdfFd8S3w/PDf8N/w8PEA8QLxAvER8TfxbfGu8gXyePLp8yTzE/Lg8uTzWfQe9Nv1SfVn9Wn1dPWG9Yz1fPVj9U71P/Ux9SL1FfUJ9Pn06/Tm9Ov07vTm9Nb01/T39TD1afWO9Z31pvW49dj2A/Y39nD2rPbl9xX3N/dN9133cfeJ96D3rPeu9673s/e/98v30/fd9+34Cvgx+F34hvis+Nr5IfmJ+gD6Wvpz+lD6HPoH+iH6WfqY+uD7Pvuz/C38mvz6/V39y/4//q7/FP91/9IAIQBWAHMAiwC2AQcBfQIDAnkCxQLeAtkCzQLOAt8C+gMXAzADPQM+AzwDQgNUA2cDdwOLA7MD8wQ9BH4EtQTtBTAFegXABgMGRgaKBsMG8AcdB18HtggRCFsIlwjWCSEJbgmzCe4KJwpcCoIKigp3ClQKKgoBCeMJ1wnNCZ0JLAiGB+MHewdaB2wHlwfKB/gIDAgECAgITgjkCYQJyQmJCP4IlgiOCM8JFAkyCTEJLQk1CUoJcAmxCgwKZwqjCroKvwrMCuUK/wsRCyQLQwttC44LmwuUC4cLfgt4C3cLhwutC94L+gvqC8ALrgvhDFkM4g1ADVgNRA0xDToNVg1tDXcNgw2nDeAOGA43Dj8ORw5nDpsOzQ7qDvcPCA8oD1YPgw+lD7sPwg+6D6YPlA+PD5sPsQ/ID9wP7xAAEBAQHxAwED8QSBBLEFIQbBCZEMsQ6xDrENMQuBCnEJsQcA/4DwYNjwuzCcMIIQciBu8HcAhWCUEJ7wpaCqQK7AsrC0gLPAsgCw8LBQrlCqEKTQoFCccJfAkcCMwIuQjfCP0I1QhkB+YHlwd+B3kHZAdABxwHAAbgBrQGhAZZBjcGFQXvBcYFmwVuBTsFBgTZBLcEmgR8BFwEPwQlBAkD5wPDA6MDiwN2A10DPwMeAv8C5ALNAroCpAKJAmoCSgIxAh0CBwHpAcQBnwF8AVcBMAEIAOgA1ADHALoApgCNAHIAWwBKAD8ANQAmABH/+v/m/9j/0f/K/8D/sP+Y/3z/Yv9O/0D/NP8m/xb/BP7v/tb+u/6o/qD+nv6Z/o7+gf55/nX+a/5Y/jz+Hf3+/d39vP2a/Xv9XP09/R39Afzr/Nj8xPyu/Jn8h/x5/G38Y/xZ/E78Q/w7/Df8N/w1/Cz8HvwQ/Ab8Afv9+/f77vvk+9r70vvM+8j7w/u7+7H7p/uf+5j7kPuG+3v7bvth+1b7TvtL+0r7SPtI+0r7TvtP+0z7SftL+1T7X/to+277cvt2+3f7ePt6+337f/t++377hPuQ+5z7ofui+6b7rvu0+7D7pvuf+6D7pPul+6D7m/uZ+5j7lvuT+5X7nfum+6n7qPun+6j7qfun+6P7ofui+6X7pvun+6f7qfut+7D7svu0+7f7u/u/+8H7wvvE+8j7z/vU+9f72Pvb++L76/vy+/j7/fwE/A38Ffwd/Cf8Mvw6/Dz8O/w7/EH8SfxQ/Fb8Wvxh/Gj8cPx1/Hn8ffyG/JL8ofyu/Lf8vfzE/M381/zh/Oz8+P0E/Q39E/0W/Rv9JP0u/Tj9P/1G/U39Vv1g/Wv9d/1//YX9iv2N/ZL9l/2e/aX9rv20/bf9uf2+/cb90P3d/er9+f4F/gz+EP4V/h/+K/43/kD+S/5b/nL+i/6k/rn+yv7W/t7+6P73/wn/GP8j/y3/Of9E/0z/Uf9X/2P/cf98/4T/jP+X/6T/r/+3/8H/zv/d/+r/9gAEABUAKAA+AFgAdgCWALEAyADfAPsBGAE1AVABaQGCAZsBswHPAfACDQIgAikCMwJGAmICfgKYArUC2AL5AxADIgM9A20DrAPnBBIEMwRRBGwEfwSOBKoE2gUVBUoFcgWZBccF7wXnBYkE1wQJA38DkwRnBdIHawjGCa0KPAq8C1wMCAxtDDsLXwocCOQIFwfSB+cIEAglCDcIcQjoCXoJ6QoMCfMJ0AnGCdIJ1Qm6CYkJVAkfCOAIkAg5B+8HvQebB30HXAc8Bx8G/gbXBq8GlAaQBqEGuAbMBtYG2gbZBtcG1gbUBtAGxQa0BqIGjQZyBlIGMQYXBgMF7wXQBaQFdQVKBScFBQTaBJ0ETAPuA5IDRQMPAu0C3ALYAtoCzgKfAkIBvwEyAK8AQf/j/5T/U/8h/vf+zv6m/oP+Z/5R/jz+I/4I/e390v24/Z39gf1n/VL9Rf06/S39Gv0H/Pv8+v0A/QX9A/z+/Pn89/z3/Pv9Av0N/Rj9Iv0u/Tr9R/1V/Wb9fP2W/bP91P3+/jP+bP6f/sT+4P77/xz/Pf9e/37/of/H/+0AEwA6AGEAggCVAKEAswDYAQoBOQFXAWgBdgGMAawB0QH5AiICSAJnAnwCiQKUAqICtQLMAuUC/wMaAzMDSANZA2oDgAOfA8UD7QQRBDQEVQR2BJQErQTFBN8E+QUPBSAFLwVABVYFbAWABZQFqQW/BdUF5wX3BgcGFwYmBjYGRQZRBlsGYwZsBnMGeAZ6BoEGkgaqBsAGzAbOBswGygbEBrQGngaIBnYGZwZbBlIGTAZGBjoGLAYjBiEGIgYeBhUGEAYRBhUGFgYWBhoGIwYrBi0GLgY3BkcGWQZjBmoGcwaEBpwGvQbhBvoG8gbHBpkGmgbgB00HpAe+B5sHWgccBwEHIQd8B+sILQgdB3oHVwdlB40HqQe/B+4IQwiUCKwIgQhACBwIIAgzCEMIUghmCHYIdAhlCF0IagiCCJUIoAiuCMQI1wjcCNoI3wjyCQcJFQkgCTIJTAliCW4JdQmBCZIJnwmmCa4JvgnWCfAKCQokCj8KUQpUClEKUQpWClsKXQplCngKiwqTCpgKuQsJC3cL2gwXDDMMQQxGDDsMJgwlDFIMpgz7DSsNMQ0nDSQNKg0pDRQM7AzADKEMkwyMDHoMTwwRC9ELmgtlCykK5gqoCn0KaApjCmwKiQq4Cu4LHAs4C0ULSwtOC1QLXwtoC1wLLQrgCooKQwoPCegJxwm0CbMJwgnUCeEJ6gn0CgIKFAosCk4KdgqeCsQK7gsiC1ULcwtrCz8K+gqkCj4JywlXCPEIoQhrCEsIPQg8CD4IPwhDCEgITghQCFUIaAiLCLAIyQjXCOsJDgkxCUEJRgloCc0KcgsoC74MHAxLDF0MWwxJDCsMBAvVC50LXgsgCuoKuAqLCmIKQwouCh0KDAn9CfIJ6gngCdQJyQnACbYJqAmaCY8JhAl1CWIJVAlVCWMJdgmGCZMJnAmdCZ4JrgnZChAKLwonChAKEgoxCkQKHwnFCWsJNwkgCQAIyAiTCHsIeQhsCD8IAQfNB6sHlQeCB3YHcAdnB1QHPQczBzoHQwdBBzIHJAcaBw8G+QbfBsoGuganBowGbgZXBkcGNgYfBgUF7gXaBcIFpQWKBXMFXQVEBScFDATzBNoEvQSeBIEEZQRHBCMEAQPmA9ADugOfA4EDZANIAyoDCQLrAtQCwwKxApsCgQJoAlACNgIaAf0B4AHDAaMBfwFWASsBAgDaALMAigBeAC/////Q/6P/eP9N/x/+7P61/n3+TP4k/gH92f2j/WT9KPz7/N38w/yj/Hr8Ufww/Bf8APvl+8T7ovuA+1f7I/rl+qT6aPow+fr5wvmM+Vn5Kfj4+MP4jfhZ+Cb38vfB95T3bPdE9xf26Pa89pT2bPY/9g312/Wt9YH1WPUz9RL08/TP9KX0ePRK9Bvz6PO685bzfPNg8zvzF/MD8wHy/vLp8sPyofKJ8mryKfHF8V7xHPEI8QzxC/D18NLwrfCL8G/wW/BN8D/wLPAX8ArwCvAP8BHwEfAX8CzwTPBm8G/wZfBT8ETwP/BE8FXwd/Cu8PXxQfGD8a7xuvGj8XPxPPEZ8RbxJvEu8STxFfEb8UDxdvG28gjyd/Lt8zXzMvMG8wfzbvQk9NT1OfVT9VL1XPVv9XX1ZPVH9S/1HfUL9Pb03vTF9K/0ofSk9LX0xPTF9L30vvTX9QH1J/U69UP1U/V09aL11fYI9j72eva29uf3BvcT9xr3JPcw9zr3Pvc990H3SPdN90z3TPde94b3u/fu+BT4L/hK+HT4ufkc+Y/59Pos+jP6I/og+jn6Zvqb+tf7I/uC++j8S/yt/Rf9jv4F/nP+2v8+/6H/8wAmADwASwByAMMBPgHJAkECiQKcAo4CfQJ9AowCoQKzAsECzALVAt8C7wMFAyADPgNiA5UD1QQWBE4EfQSxBO8FNAV3BbcF9wY3BnEGpAbeBykHgAfTCBQITgiRCOMJOgmHCccJ/gooCjkKKgoGCd0JvAmkCZMJfglNCOgITwepBzEHBgcYBz8HZAeHB6kHuQe1B8AIEAipCUYJggk8CLEITQhECH8IvgjgCOsI9Aj+CQsJKQloCcUKIQpaCm0KcgqCCp0KtQrHCt4LAwsxC1YLZgtlC18LVwtOC0cLUAtzC6YLygvGC58LewuNC+cMbQziDRoNFgz8DPQNCA0nDUINXw2NDc8ODg4xDjYONw5ODnwOqQ7BDscO0Q7rDxIPOQ9WD20Pfw+JD4YPdw9qD2kPeA+SD64Pxw/cD/EQBxAcECYQJBAfECoQThCCEK8QvxC0EJsQhhB1EFUQAQ9QDiMMgAqcCNAHfQbhBwIHsAiaCW8KAgpZCpgK2AsSCy0LIQsFCvEK4Qq8CncKJgnmCbQJcAkNCK0IgwifCM0IyAh1B/oHkwdbB0cHOQciBwMG3wa3Bo4GaQZJBikGBgXeBbYFjgVgBSwE+QTRBLMElQRwBEoEKQQPA/MD0QOrA4oDcQNaA0IDJQMIAuwC0wK9AqsCmwKHAmwCTQIvAhMB9gHVAbIBkQFzAVUBMgEKAOcAzgC/ALQApgCSAHgAXgBJADkALAAeAAz/9v/i/9H/xP+4/6z/nf+J/3H/Wf9E/zT/KP8d/xP/CP73/t/+xP6w/qf+pP6e/pL+hP56/nH+Zf5S/jj+G/38/dr9tv2U/Xb9W/0+/SD9Bfzv/N38yvy2/KH8jvx8/G38YfxX/E38Q/w6/DX8NPwy/Cv8H/wR/AX7/fv1++375fve+9f70fvM+8j7xPu++7b7rPuh+5f7jfuC+3b7avte+1T7T/tP+1L7VPtX+1n7W/tb+1n7V/ta+2H7aftt+3D7c/t4+337g/uI+4v7jfuM+437kfuX+5r7mfud+6n7uPu++7P7oPuX+577rfuz+6z7nvuU+477ivuG+4X7i/uT+5j7l/uV+5f7mvud+5v7l/uV+5X7mPua+5z7nvuh+6T7pvum+6f7qvuv+7L7tPu1+7j7vvvF+8j7yvvN+9T73Pvk++r78fv8/Aj8Evwa/CD8J/wr/Cz8Kvwr/DL8PvxI/E38UPxV/F78afxy/Hf8evyA/Ir8lvyk/LD8uvzC/Mn8z/zY/OL87vz6/QT9Cv0P/RX9Hf0m/S/9Of1B/Uj9Uf1d/Wr9eP2B/Yf9jP2S/Zj9nv2j/aj9rv20/bj9u/3A/cf9z/3Y/eP97/38/gf+D/4W/h/+Kf4y/jv+SP5Z/m7+hf6b/rD+w/7R/tn+4f7s/vr/Cv8Z/yf/NP8+/0T/SP9P/1r/Zf9s/2//dv+D/5H/nf+n/7P/xP/W/+b/8wAAAA8AIAA1AE8AbQCKAKMAtgDMAOkBCgEqAUYBXwF4AZMBsAHPAfACDgIoAkACWgJ0AogClwKtAtgDFwNRA3ADdQN5A5QDyAQABCsERwRXBGEEaAR5BKEE4gUnBVwFfgWdBcEF2AW3BUAEgQPAA1sDowSrBjgH0QkFCa8KBwpsCxALyAwsC+4LEQnsCOoIUwgnCDgITwhZCGoIqAkZCZcJ6QnxCccJnwmVCZsJkAloCTUJDwjyCMYIfAghB9MHoAeCB2gHSgcrBwoG5Qa8BpgGiQaSBqkGvwbOBtQG1wbYBtYG1QbSBs0GwgazBqIGjwZ4BlwGPgYiBgcF6AXDBZoFdAVVBTsFHATuBKkESwPfA3oDMQMMAwEC/gL3AuQCvwKAAiEBqQEoAK0APv/f/4//T/8d/vT+zf6n/oj+b/5b/kX+LP4R/ff93/3I/bH9l/18/WT9U/1J/T39LP0V/QL8+/z//QT9Bf0B/P78/v0B/QX9Cf0P/Rj9I/0v/Tz9Sf1Z/W79iP2k/b792f35/iL+UP56/pr+tf7U/vr/Jv9P/3P/lP+1/9f//wAvAGYAmQC8ANAA3QD0ARgBQwFuAZYBvgHlAgYCHQIuAj4CUQJkAnQCgQKQAqICuQLSAuwDCQMqA0sDZgN4A4QDkwOtA9AD9QQYBDgEVgRzBI4EpgS+BNkE9QUOBSIFMwVFBVoFcQWIBZ8FtgXLBd4F8gYGBh0GMgZFBlUGZAZyBnwGhQaMBpQGmgafBqkGugbPBt8G5AbfBtcGzgbCBq0GlQaABnIGagZjBl4GWQZTBkoGPwY4BjcGNwYxBiQGGgYVBhQGEgYQBhUGIAYqBi0GLQY2BkgGWQZiBmgGdwaUBrsG4gb/BwkG+AbUBrUGvQb0B0QHhgegB5UHcgdLBzMHQQd5B7wH2Qe4B0AHSgd5B6YHrgefB6kH5AgvCFUIQggXB/8IBwgcCCwINghCCEwITQhHCEkIWQhvCH8IiQiXCKsIvQjECMgI0wjpCP4JCgkWCSwJSglhCWsJcAl6CYgJlAmaCaQJtwnRCecJ+QoOCicKOwpDCkEKPwpBCkMKQgpFClMKZwp2CoMKogrjC0ALnQvnDBwMQwxUDEgMKAwYDDkMhwzeDRYNIw0XDQkNAgz7DO4M2Ay/DKoMmgyLDHMMTAwaC+cLtwuEC0gLBgrICpUKbApMCjsKSAp0CrYK9QshCzgLPws+CzoLNAsnCwkK1QqUClgKLQoRCfsJ5wnaCdsJ6An5CggKFgolCjcKUQp1CqMK0Qr0CwwLIwtEC2gLfQtzC0kLCAq1ClIJ4wl2CRcIzQibCH8Idwh6CH8IgQiCCIYIiAiICIoImgi6CN8I+wkOCScJSgloCXMJeQmgCgUKngs/C8EMGgxXDIAMlAyPDHcMVQwqC/MLswtzCzwLDArfCrMKjQpzCmAKUQpECjsKNwozCiwKIwoXCgoJ/gnzCegJ2wnKCbsJtAm4CcMJzwnaCekJ+AoACgQKFQpCCnwKnwqTCmoKTwpPCk8KJwnWCYMJUwlACSkI/AjICKMIjQhzCEgIFgfuB9QHwgewB6MHmgePB38HbQdkB2cHbQdtB2YHYAdaB0wHNAcZBwMG8gbbBr0GngaKBnwGawZQBjIGGgYFBe4F0QW1BZ0FhwVtBVAFNAUfBQoE7wTOBKwEjQRuBE4ELwQUA/4D6APOA7EDlQN4A1kDNgMWAvwC6QLXAsECqgKSAnwCYwJGAigCCwHvAdABrAGFAV4BOgEXAPIAxwCZAGkAPQAS/+j/u/+M/1r/Jv7v/rj+h/5e/jv+Ev3a/Zb9Vv0l/Qf88/zc/Lz8l/x1/Fj8Ovwa+/j71vuz+4j7UPsP+s36kvpd+in59PnA+Y/5YPku+Pr4xPiQ+F34K/f69833o/d590n3Fvbm9r32mPZy9kf2GfXq9bz1jfVe9TL1C/Tp9Mz0r/SP9Gf0O/QR8/Dz0/Ov84LzWfNC8z7zPPMr8w3y7vLP8qDyUvHs8ZDxYfFg8XHxcvFU8Rzw2fCa8GjwR/A18CrwH/AT8AvwCPAG8AHv/fAE8BrwO/Bd8HPwe/B58G/wYvBa8GLwhvDH8RfxZPGf8cPx0fHH8abxe/Fc8VXxXfFa8ULxJfEh8ULxevG88gzydvLq8zrzRvMn8yjzgvQi9MH1HvU39Tf1Q/VZ9WD1T/Uu9Qz07/TS9LP0lvR+9G30avR49JP0q/Sz9Kv0pvSx9Mn04fTx9QD1GvVD9Xb1qPXb9hL2UPaL9rX2xvbF9r72u/a89rr2tPax9rL2svan9pP2i/am9uj3Ovd896L3tffN9/j4O/iV+P75Z/m8+fP6Ffo0+lv6ifq4+ur7Jvtw+8X8IvyH/Pj9b/3g/kf+qf8N/2//v//vAAMAEQA4AIgA/QGBAfMCNgJHAjoCLQIuAjsCSAJQAlgCZgJ6ApECqALEAucDEQNCA3oDtAPqBBkERQR2BLIE9QU7BX4FvgX5Bi8GZQamBvYHSweSB8kH/whECJsI+QlPCZgJ1Qn5CfcJzwmXCWoJVAlLCTsJDQivCB4HdQbmBqAGqwbfBxEHMAdKB2QHcQdrB28HqQggCJcIwQiKCCoH8wgFCD4IbwiICJMIngilCKoIxAkICW4JzgoFChUKGgorCkcKYAp1CpEKvQrvCxULJwsqCycLIgsYCw0LDAsjC00LeAuJC3gLWwtaC5YMCgyGDNcM5wzPDLwMxgzkDQENHQ1GDYYNyg33DgYODA4mDlgOjA6tDrwOyQ7gDvgPBw8NDxYPLQ9LD2MPag9kD18PZA93D5APqQ/DD90P9hAGEAUP9g/uD/8QLRBhEIEQgxBxEFwQRxAnD+IPWw53DSELawmUB/8HAwbEBykH8AjOCYkKCgpZCpEKxgr1CwsLAwrsCtUKuwqOCkkJ/wnICZ4JYgkFCKEIbQh+CLAIvwiCCAkHjAc3BxIHCAb/BucGvwaRBmsGUQY9BiIF+wXPBaUFfAVPBRsE6wTGBKkEiQRhBDcEFQP8A+IDwAOZA3YDWwNCAygDCwLwAtgCwgKvAp8CkQKAAmgCSQIpAgoB6wHJAaUBgwFmAUoBKwEIAOYAygC3AKkAnACMAHcAYABLADkAKgAaAAn/9P/f/8r/tv+j/5L/gf9v/1z/R/80/yT/F/8N/wb+//7y/t7+x/60/qn+o/6b/o/+gf50/mb+Vv5B/iv+FP34/db9r/2L/W39U/06/SD9B/zy/N/8zPy4/KP8kPx+/G38YPxV/Ev8Qfw3/DD8Lfwq/Cb8HvwT/Af7+fvr++D72fvX+9b71PvR+837yPvD+7r7sPuj+5X7iPt8+3D7Zvtd+1b7UvtT+1f7W/tf+2L7ZPtl+2b7aPtt+3T7evt9+377gfuF+4v7kPuV+5r7nfue+5/7ovuj+6H7n/ui+7D7vvvA+7H7n/ub+6v7v/vF+7b7nvuM+4P7fvt5+3b7eft/+4P7gPt8+337hPuO+5X7lfuT+5H7kvuU+5X7lvuY+5r7nfuf+5/7n/uf+6H7ofui+6T7qfuv+7X7ufu++8X7zfvT+9f74Pvu+//8DfwV/Bn8HPwe/B78HPwd/CX8Mvw//Eb8S/xR/Fz8aPxx/Hf8e/x//Ib8j/yc/Kr8t/y//MT8yPzO/Nj84/zt/Pb8/v0H/Q/9Ff0c/SX9Mf08/UX9Tf1Z/Wf9dv2A/Yb9jP2S/Zr9of2n/az9sv23/br9vv3D/cv90/3Z/d795v3y/f/+C/4V/h3+JP4s/jb+Rf5Z/m7+g/6W/qj+uf7H/tH+2v7k/vH/AP8Q/x//Lf83/zv/P/9F/0//V/9a/13/ZP9y/4L/j/+Z/6X/uP/O/+L/8wAAAA0AGQAqAEEAXgB7AJMAqAC/AN0BAAEfAToBUwFwAZIBtgHYAfoCHwJLAn8CsQLTAt4C3QLwAy0DjQPmBBEEBwPoA9sD7AQQBDEERgRTBFwEaQSHBL4FBgVKBXcFjwWjBbYFsQVwBOAEIAN4A0MDxgUGBrAIPwlDCa4J2go2CuYLoAvuC5MKtgm8CP4Imgh6CHcIeAh5CIsIxAkkCYkJwgm5CYYJWQlMCU4JPwkVCOcIywi9CJ0IXAgHB7wHjgdyB1kHOQcXBvQGzwasBpMGjgacBq8GvAbCBsUGyAbJBsYGwwa+BrkGrwahBpIGhAZyBloGPgYhBgIF4QW9BZkFewViBUgFIwTsBJsENAPDA2MDKwMeAyYDJgMNAtwCmgJKAegBdwD+AIoAI//M/4X/Sv8Z/u3+xP6g/oL+af5S/jn+If4K/fb95P3T/cL9rv2V/Xv9Y/1T/Uf9N/0i/Q/9Bf0G/Qv9DP0I/QT9Bf0L/Q/9EP0R/RX9H/0u/T/9Uf1m/X/9m/22/cz93v3y/hD+Nv5e/oD+n/6+/uP/Df84/2D/hf+m/8b/7AAeAF4AogDYAPUA/AD8AQQBIAFSAZUB4AIkAlQCawJvAmwCbAJxAnoChQKXAq4CygLlAwADHAM+A2MDhAObA6oDuAPNA+oECQQnBEIEXQR5BJQErgTGBOAE+wUWBS4FRAVZBW8FhgWhBb0F1wXrBfsGDQYlBkAGWAZqBncGgwaQBpkGoAamBq0Gtga/BsoG2QbpBvIG8AbmBtsG0gbGBrQGnQaLBoEGewZ0BmwGZQZfBlYGTgZIBkcGRAY7Bi0GIQYcBhoGFwYVBhoGJgYxBjMGMQY3BkYGVAZbBmMGeAaeBsYG3wbmBuQG5wb0BwcHGQcjByIHHgckBz0HXwd2B3kHcwd2B38HeAdbByoHWgecB8cHwgejB5YHtgfpCAYH/gfoB+UH+QgQCBoIHQgiCCkILAgtCDMIRAhXCGUIbgh8CJAIowiwCLoIygjgCPMJAgkTCS0JSgleCWYJawl3CYcJkwmZCaMJugnVCekJ9QoBChQKJwowCi8KLgoxCjMKMgowCjcKRwpaCm4Kiwq6CvsLRguRC9sMHAxEDEYMLgwdDDMMcQy5DOoM+QzxDOUM3QzZDNQMzAy+DKoMkQx2DFcMOAwaC/wL2wuwC3oLPgsHCtgKrAp+ClkKUgpzCrQK+wsxC0sLTgtACycLCArjCrcKhgpYCjYKIgoWCgoJ/gn3CfoKBQoUCiYKOwpTCnEKlgrJCwQLNgtSC1YLUgtWC2QLbQthCz0LBAq4CloJ8gmNCTcI9gjKCLQIsAi3CL8IwwjDCMIIwQi/CMII0gjxCRMJLglECV8JgQmaCaMJqgnWCjkKwQtHC7AMAQxIDIkMtQzBDLQMmQxzDEAMAQvDC48LYws3CwcK2wq8CqoKnQqRCocKgwqBCn4KdQpqCmAKWApQCkMKMQoeChMKFAocCiQKKAovCkEKWApoCnAKfwqmCtkK9ArfCqkKeQpkClUKKwngCZQJaAlaCUwJKAj0CMUIogiACFoINAgXCAQH8gffB88HxQe9B7EHpAebB5oHnAecB5sHmweWB4YHawdQBzsHKQcSBvMG1QbBBrMGngaABmAGSAY0Bh0GAAXhBcgFsQWYBXwFYwVPBToFHgT6BNUEtgSbBH4EYARDBCoEFAP7A+ADxAOlA4QDYQM/AyQDDwL8AugC0wK9AqUCiwJtAlACNAIaAf4B3gG7AZkBeAFVAS4BAADRAKQAewBTACn/+P/F/5D/Xf8q/vj+yf6e/nf+Sf4S/dL9lf1m/Uf9MP0W/PT8z/yq/In8afxJ/Cn8Cfvl+7j7f/s9+vz6wPqL+lj6J/n2+cb5lvll+TH4/fjK+Jj4Zvg2+Av34ve594n3Vvcl9vv21vaw9ob2V/Yo9fn1yfWV9WD1LvUE9OT0y/St9Ij0XPQx9A7z7vPI853zd/Ng81jzUvND8yzzEvL08sTyevIg8dTxq/Gm8bLxtPGb8WbxHPDM8IbwVvA68CvwIPAV8A3wCPAE8AHv//AE8BTwK/BG8GDwdvCD8IXwe/Bu8HDwkfDS8SLxbPGf8b3xzfHP8cDxpPGL8X/xe/Fv8U7xK/Eh8T7xefHB8hXyffLs8zzzUPM880Dzj/Qd9Kv1AvUf9Sf1N/VO9VX1QfUY9On0vPSR9Gz0UfRC9ED0SvRg9Hz0kvSX9I30gfSC9I/0ofS19M/09fUm9Vn1ifW19eX2F/ZA9lX2UvY/9ir2G/YS9gn2APX99f71+fXl9cj1vPXd9iz2jfbc9wv3J/dH93j3uPgD+Fr4u/kg+X35zvoW+lv6m/rT+wf7Pft7+8X8HPyA/O79X/3I/if+gv7e/zb/fv+s/8n/5wAVAFwAuQEfAXsBugHVAdYB0QHTAdoB4QHlAfACBgInAkoCbAKSAr4C8wMqA2EDlAPDA+8EGgRKBIMExAUMBVIFkQXFBfMGKAZrBr0HDQdNB4AHtAf6CFAIqgkDCVgJognMCcQJjwlKCRgJAgjxCMUIbAfkB0MGrQZNBjwGagarBtoG8gcGByAHMActBygHRQeKB9IH7AfRB6oHqAfPCAAIHAgnCDAIOwg+CD8IWwinCRUJdwmsCbkJvwnSCe8KCgojCkYKeQquCtMK4grlCuQK5ArfCtUKzwrVCu8LFQs4C0YLPws6C1wLswwnDIQMqQygDJEMmAyxDMUM0QznDRcNVg2LDakNwQ3rDi0Odg6wDtkO9w8RDx0PEw77DusO9Q8VDzwPVw9iD2MPZQ9uD30PkQ+qD8YP3g/nD9wPyg/FD94QDBA1EEIQNxAjEBIP9g+0DzsOfQ1vDAoKXwixB18GuAbJB2AILwj4CZkKDQpaCo8KuQrZCucK4QrNCrQKlApkCiQJ4AmrCX8JRQjwCJQIWghZCHoIhwhXB+0HcgcUBuUG2wbZBscGnwZxBk4GPgYzBhwF8wXBBZIFZwU6BQoE3QS9BKIEgQRVBCcEAgPpA9ADrwOJA2UDSAMuAxIC9gLcAsUCsgKhApMChQJ1Al4CPwIdAf0B3gG9AZsBeQFZATsBHgEAAOMAyQC0AKIAkgCDAHIAXwBMADsAKwAbAAf/8P/Y/8D/qP+Q/3n/Zf9T/0P/Mv8i/xP/Bf77/vT+7f7i/tL+v/6u/qD+lf6K/n3+b/5h/lD+PP4o/hf+Bv3w/dD9qf2C/WL9SP0w/Rn9BPzy/OD8y/y1/J/8jPx8/G78YvxX/Ez8Qfw3/C/8Kfwk/CH8HPwV/Ar7+vvo+9r71PvW+9n72vvX+9H7yvvC+7j7rPuf+5L7hft6+3D7aPth+1v7VvtV+1b7Wvtc+177YPtj+2n7cvt8+4b7i/uP+5P7mfuc+537nfue+6P7qfus+637rfuu+677rvux+7n7v/u8+677ofui+7P7xPvC+637kvuA+3n7dvtw+2r7afts+2z7Zvtb+1b7XPtt+4D7jPuR+5D7jvuN+4z7ivuK+477lvud+5/7nPuX+5T7k/uT+5X7mPud+6P7qfuw+7n7wfvF+8j7zvvd+/D8AfwM/BD8EvwS/BH8D/wR/Bn8J/w1/ED8SvxU/GD8avxx/Hb8e/yA/IX8i/yV/KP8sPy4/Lz8v/zG/NH83Pzl/O38+P0E/Q79E/0X/SD9Lf08/Ub9Tf1U/WH9b/16/YH9h/2O/Zb9nv2l/az9s/24/br9vP3C/cz91v3d/eD95P3u/fz+Cv4V/hz+Iv4q/jb+R/5b/nD+g/6T/qH+r/67/sf+0v7e/ur+9v8D/xL/IP8q/y7/MP80/zz/Rf9L/1H/W/9p/3j/g/+M/5j/qv/B/9f/6//6AAcAEgAgADYAUwBxAIwApAC+AN4A/wEbATIBTAFuAZgBwQHkAgQCKwJjAqkC6gMRAxMDBgMTA1gDyAQzBGQEUwQdA/ID6QP7BBYEMQRIBGAEgASuBOsFLQVjBYMFlAWgBaAFewUZBHwDygNMA1AECwVwByEIkglgCZ0Jvwo5Cw8L0QwAC3sKkgm6CS8I6AjACJ8IiAiBCJAIugj+CUkJdQltCTwJCgjzCO4I4gjBCJ4Iigh/CGYILwfnB6oHggdoB0sHKQcHBucGyQavBp8GnganBq8GsgaxBrEGsAarBqIGnAaaBpgGkQaGBnkGbgZgBkoGLwYTBfgF3AW+BZ4FfgVdBTcFBAS/BGcD/wOZA04DMAM3A0QDNgL/AqwCUAH0AZQBKwC+AFX/+/+y/3T/Pf8J/tf+qf6D/mX+Sv4w/hf+Av3y/eX92f3M/cD9s/2h/Yb9a/1V/Uf9O/0r/Rn9DP0J/Qz9Dv0N/Q39Ef0X/Rv9Gf0T/RH9GP0o/T79V/1y/Y79q/3E/db94f3u/gT+Jv5Q/nr+nP66/tn+/P8k/1H/ff+k/8f/6QAVAFIAmQDbAQUBEAEGAPkA/gEhAWABsAH/AkACaAJ7AoECggKFAo0CmwKwAs0C7QMMAygDQQNdA3wDnAO4A88D5AP6BBEEKQRABFcEcgSQBK8EywTlBPwFFAUuBUoFZQV9BZIFqAXDBeMGAAYUBiIGMgZLBmgGgAaOBpcGoQasBrUGuQa8BsIGygbSBtwG6Qb4Bv8G/AbxBukG5AbeBtEGvQaqBpwGkgaHBnsGcAZoBmEGWQZSBk0GSQZABjQGLAYrBi0GLQYsBjAGOQZBBkAGPQZBBkwGWAZdBmMGeAaYBrIGsQadBpYGuAb/B0YHYgc/BvAGqQabBtQHNAeHB6YHlAdtB0kHLQcfBy0HbAesB8sHwAefB44HnAe4B8gHxgfFB9UH8QgFCAkICAgLCBMIGAgYCB4ILQg/CE0IVghhCHMIiAiaCKkIuwjRCOYI+gkRCSwJRAlTCVkJYwl2CYwJmQmgCasJwwneCfIJ+woCCg4KGwogCh4KHAofCiQKIwodChwKJwo8ClUKbwqOCrUK6gsvC4ML2QwXDC8MJwwdDC4MWgyPDLUMxgzHDMIMvAy3DLMMrgyiDIoMZww+DBkL/gvsC+EL0gu3C40LXQsxCwoK4gq2CpAKhAqgCtwLHgtOC18LVAszCwgK1wqmCnkKUgo2CiQKGgoSCgsKBwoKChQKHwouCkMKYQqGCrAK4gseC18LkQukC5YLfAtpC2MLXQtLCygK8wqtClYJ9gmcCVIJHAj5COkI6QjzCP8JBAkCCP0I+Aj3CP0JEgkwCU4JZAl3CZAJrgnDCcoJ1goKCnAK8AtiC7YL+QxCDI8MygzlDOMMzwyvDIEMRwwNC94LtQuIC1QLJQsGCvUK6QrcCs8KyQrKCssKxwrBCr0KuQqwCp4KhgpzCmwKcwp/CoUKhgqOCqQKwQrVCtoK3wr2CxcLJgsNCtgKqgqUCoQKWgoNCbwJiAlzCWUJRwkYCOcIvQiYCHUIVQg9CCsIGwgJB/sH8wftB+UH2gfRB88H0AfRB9MH0wfNB7sHnweFB3IHYQdKBy0HEAb7BukG0QazBpMGewZmBk0GLgYOBfMF3AXFBasFkgV9BWUFRgUiBP4E4QTIBK0EjQRtBFIEPAQmBAwD7gPNA6sDiQNpA00DNwMlAxMDAALqAtECtAKVAnoCYgJLAjMCFwH4AdkBtwGRAWcBOAELAOEAuwCUAGcAM//7/8b/lf9o/zz/Dv7f/q3+ev5D/gz92/2z/ZP9dP1S/Sr9Afza/Lb8lfx2/Fj8OPwT++T7q/ts+yz68Pq5+of6V/oo+fj5yPmY+Wf5NvkE+NL4oPhx+Eb4H/f198f3lvdn9z33GPbx9sT2kfZe9i32APXQ9Zv1ZPUy9Qn05/TF9Jz0b/RE9CDz//Pc87bzlvOA83LzZPNP8zjzIfMG8uDypvJh8hzx5vHE8bLxqPGc8YHxUPEQ8M3wlfBq8ErwLvAX8AfwAO/+7//wAvAI8BLwH/Av8EPwWfBv8Hvwe/Bz8HXwkfDM8RrxZPGb8bzxzvHV8c7xuvGh8Y7xf/Fr8UjxJvEb8TXxb/G78hXyfvLp8zXzTPNA80jzjvQK9Ij02PT39QP1FvUr9S/1F/Tq9LX0gvRU9DD0HPQZ9CL0MvRE9FT0XfRa9FD0SfRM9Fr0bfSE9KX00vUH9Tn1YPV99ZX1q/W49bT1n/WB9WT1TvU/9TT1L/Ux9Tn1PPUx9Rz1FfUz9Xz12/Yx9nL2pfbY9xD3SPeB98H4E/h3+OX5VPm/+iX6gvrQ+xP7T/uN+9H8H/x6/N/9Sf2v/gv+YP6t/vD/Kf9a/47/xwAEAD0AcgCoAOQBHwFNAWcBcQFzAXQBdwF/AZIBswHdAgoCOAJoAp4C2AMRA0QDcwOhA84D+gQoBFwEmQTdBSAFWgWIBbEF5AYoBnoGyAcJB0AHeQe9CAgIVQimCP4JUgmGCYMJUAkOCNsItwiDCCQHmAb5BmkGBwXkBf8GPgZ6Bp0GrQa9BtYG7QbzBvIHAQcnB1AHZAdjB2QHfAegB7kHwQfFB9IH3wffB90H+QhJCLkJGglOCV4JaQmBCZ8JugnWCgAKOQpvCpEKnQqdCp4KogqlCqUKoAqbCqAKuArfCwMLFAsWCyYLYQvADB0MUwxiDGcMeQyUDKQMoQygDLYM5A0VDT0NZQ2gDfQOUw6qDvEPKQ9QD1wPSQ8jDwAO8w7+DxYPMA9CD04PVA9ZD2EPcA+GD58Psg+2D6sPoA+mD8IP5w/9D/kP6A/YD8YPkg8gDmkNdgxOCu8JaQf4BvMGmgbqB6EIbgkeCaYKDApYCowKrgrACsUKuwqmCokKZwo7CgMJxwmOCVoJHQjPCHwIOwgfCB4IGQf1B6wHUQcBBs8GugayBqEGfwZWBjgGLAYlBhAF5wWyBX4FUQUmBPwE1gS7BKQEhARWBCMD9wPYA74DnwN7A1cDOAMdAwIC5wLNArYCoQKPAn8CcgJkAk8CMgIQAe0BzAGuAZABcgFSATEBEADzANsAxgCxAJ0AiwB6AGsAWgBKADoALAAbAAX/7P/R/7X/m/+A/2X/TP84/yj/G/8O/wD+8/7o/uH+2/7S/sT+sv6f/o3+fP5s/l7+Uf5E/jT+If4O/f/98f3f/cT9oP17/Vr9P/0o/RL9APzx/OD8zPy0/J38ivx8/HH8Z/xb/FD8RPw6/DL8Kvwk/CD8HPwX/A37/vvt++D73Pvd++D74Pvb+9L7yPu8+7D7pPuZ+5D7iPuA+3n7cvtr+2P7Xfta+1v7X/th+2D7X/th+2r7efuI+5L7lvuZ+6H7qvuw+677p/uk+6j7rvux+6/7rfuw+7X7ufu8+737u/u1+6v7pPum+677s/ur+5j7hft9+337fPt1+2r7Yvth+1/7V/tH+zn7N/tG+177dfuC+4X7g/t/+3z7evt7+4H7jPuX+5z7mvuU+5D7kPuS+5T7lvuY+5v7ofuo+7H7ufu9+777wvvO++D78/wB/Aj8CvwI/Ab8BfwH/BD8Hfws/Dr8SfxX/GP8a/xv/HP8efx//IX8ifyP/Jn8pfyv/LT8uvzE/NH83Pzk/O38+v0J/RP9Fv0X/R79Lf0+/Un9T/1U/V79bP15/YH9h/2O/Zb9nf2l/a79t/27/bz9u/3A/cr91/3f/eP96f30/gP+Ev4c/iT+Kv40/kH+UP5g/nD+gP6P/p3+qf6y/rz+x/7V/uP+7v75/wb/FP8e/yH/If8i/yj/Mv8+/0n/Vf9i/27/eP+B/43/nf+x/8X/2f/q//oACAAYAC8ATQBsAIgAowDAAOEBAQEaAS8BSQFvAZ0BxwHoAgECIQJTApQC0wL3AvgC6ALvAykDjAPtBB0EEAPkA8ADuwPTA/gEIARKBHUEpQTbBRIFQwVmBXoFhgWKBXYFMwS6BB4DkANMA40EcwXkB3wIuglVCYEJxAqEC5gMawx8C8kKzAn/CYsJRQj/CLgIiAh5CIIImAi8COwJEwkTCOsItQiTCIkIhAh2CGMIVQhICC4H/gfFB5QHcgdVBzYHFgb7BuYG0Qa+BrIGrgavBq8GqgamBqMGmwaLBnoGcQZzBncGdAZqBl8GVQZHBjEGFAX6BeUF0QW3BZIFZwU2BP4EvQRwBBkDwAN0A0cDPwNLA0kDHALBAlEB5QGIATEA1gB3ABz/z/+P/1b/Hf7i/qr+ef5S/jT+Gv4B/er92f3P/cf9vv2y/an9oP2S/Xv9YP1L/UH9O/0w/R/9Dv0G/Qj9Df0S/Rf9Hv0l/Sf9Iv0Z/RP9Fv0k/Tv9Vv1z/ZD9rP3G/dn95/31/gn+Kf5S/nz+n/68/tb+9f8c/0z/fv+s/9P/9AAXAEcAhQDGAPwBGgEiAR0BGgEjATwBZgGdAdoCFAJBAl0CbwJ/ApMCrALKAusDEAM2A1gDcwOJA50DtQPSA/IEEAQsBEIEVgRqBIEEngS/BOAE/QUWBSsFQAVYBXMFkAWoBboFzQXlBgQGIAY0BkEGUQZqBoYGngasBrUGwQbNBtUG2AbaBt4G5AbpBu8G+wcKBxUHEwcJBv8G+wb4Bu0G2gbFBrUGpwaaBowGgQZ6BnMGagZgBlgGUgZKBkIGPwZBBkYGSQZIBkkGTQZPBk0GSwZQBl0GaAZrBm4GewaSBp4GjgZwBmoGnAb4B0wHYAcjBrgGYQZUBpoHDQdxB5sHiQdVByMHBgcIBzYHbwecB6gHlQd7B3EHfgeSB6AHpwe2B9AH6gf2B/YH9gf9CAgICwgKCA0IHAgwCD4IRQhOCF0IcgiFCJcIqQi+CNYI8AkLCSQJNwlCCUwJXAl1CY8JoAmqCbYJzQnmCfkKAgoIChEKGAoYChEKDAoNChAKDQoFCgAKCAodCjgKUgppCoEKpgriCzULkgveDAgMEwwVDCQMRQxsDI0MoAynDKQMmQyMDIAMdQxlDEkMIQv0C80LswumC6ULpgufC4kLZgs7Cw4K4wq8CqQKqArNCwYLOwtaC1cLOgsMCtkKpwp6ClUKOgooCh0KFAoMCgoKEAogCjEKPwpNCmMKhwq3CuwLJAtgC5sLxgvRC78LoAuGC3QLYQtECxoK4wqeCk0J9wmpCWwJQwkqCR8JIgkuCToJPwk8CTUJMAkwCTwJVAlxCYoJmwmqCb8J2AnoCe4KAQpBCrILNQuhC+cMHQxaDKEM3gz9DQIM9gzdDLYMgwxODCIL+gvMC5gLagtMCz4LMwsmCxkLFAsZCx8LIQsfCx4LGwsQCvkK3grKCscK0QrfCuYK6gr3CxELLgs8CzYLKgstCz0LRAswCwkK6QrbCs8KpApTCfYJsQmOCXwJYgk5CQsI4Ai4CJMIcghYCEcIOQguCCYIIQgbCBEIBgf/CAAIBQgJCAoIBwf+B+wH1Ae8B6kHmAeDB2gHTQc1ByEHCAbrBswGsAaWBnkGWQY4Bh0GBgXvBdYFvQWlBYsFbAVJBSoFEAT3BNkEtgSUBHgEYgRNBDMEEwPxA9ADsQOUA3sDZANRA0ADLgMYAv0C3gLBAqgClAKAAmkCTwIzAhQB8QHKAZ8BcgFIASAA+ADPAKAAawAz//3/zv+l/3z/Tv8X/tv+oP5r/j/+G/36/dj9sv2J/V79NP0M/Ob8xPyk/IX8Yvw4/Af7z/uV+1n7Hvrm+rL6gvpU+iT59fnG+Zr5bfk9+Qv42fir+H/4VPgm9/T3wveU92z3Sfcl9vv2yfaT9mD2MvYG9db1oPVq9Tv1EvTr9MP0mfRx9E70LfQJ8+bzyfOz86HzjPNx81TzOfMe8v/y2fKp8m/yK/Hk8anxhPF18W7xXvE+8RHw3/Cq8HPwPvAU7/rv7+/u7/Hv9u//8AnwFPAf8CzwPfBP8GDwafBs8HDwhPCz8PvxTPGS8cHx2fHf8dfxxPGq8ZLxe/Ff8TzxGvEN8SHxVfGg8f7yavLU8x7zN/My8zvzdvPb9EH0gPSZ9KP0s/TG9Mn0tPSO9GL0OPQU8/nz7PPt8/Xz/fQC9AHz/PP08/Hz+fQM9CT0O/RR9G70l/TF9Oz1A/UJ9Qf1AfT59On00/S39J30h/R49HD0cPR59Ir0m/Sk9KP0pfS99PT1QvWb9fL2Q/aM9sr2+/ck91L3k/fr+FX4yvlE+cD6Nfqc+vT7QPuH+8z8E/xi/Lz9IP2I/ej+OP50/qL+zf8E/0//pf/vABkAKQA0AFQAjgDRAQQBHgEiAR8BIQEwAU4BdgGlAdYCCQJAAnoCswLpAxoDSQN5A6kD1QQABC4EZQSiBOAFFgVCBWwFngXgBi4GfAbEBwYHRweIB8cIBAhKCJwI7QkfCSAI+AjECJUIWwf4B2AGrwYSBa8FjwWkBdoGFwZHBmEGbAZ4Bo0GowayBrwGzwbuBw8HJwc1B0YHXAdtB3EHbQd0B4YHkweMB4MHnAfrCFgItgjrCQQJGQk1CVIJagmICbcJ9AorCksKVQpWClkKYAprCnQKdgpvCmYKagqHCrIK1QrjCu8LFAtbC60L7AwQDCwMUgx8DJMMkQyDDIIMlgy1DNcNAQ1DDZ0OBA5qDscPFw9SD28PbQ9UDzUPHA8MDwUPCA8RDx0PJw8uDzUPQQ9UD2YPcQ90D3EPdQ+FD6APtg+8D7MPpg+YD3YPGw5xDYIMaAs1CesImAduBrcGogcgB+cIqQlCCbEKCQpPCoEKngqpCqUKlAp5ClgKMwoKCdoJowlpCS8I8giuCGQIHgfnB8EHpweQB3AHQgcKBtIGqAaOBnsGYwZFBioGGgYPBfoF0wWgBW0FQAUXBPEE0gS7BKgEiwReBCcD9QPPA7IDlANzA1ADMAMTAvgC3ALCAqgCjwJ5AmYCWAJLAjwCJQIGAeIBvQGdAYMBawFOASsBBwDnAM8AuwCoAJQAgABvAF8AUABAADEAIwAT//7/5P/H/6v/j/9y/1P/N/8h/xH/Bf75/uv+3v7U/s/+zP7G/rn+pv6O/nf+YP5M/jz+MP4n/hv+C/34/ef92P3G/a/9kv1z/Vb9PP0k/Q78/fzu/OD8zvy3/KH8j/yD/Hn8bvxh/FT8SPw9/DX8Lvwn/CL8HvwY/A/8BPv3++776vvp++f74/vd+9T7yfu7+6z7oPuX+5P7kPuN+4j7gft5+3H7a/tr+3L7fPuC+4D7eft1+337jvud+6P7oPud+6T7sfu6+7f7rvuo+6r7r/uw+6v7qfut+7b7vfu9+7j7s/uw+677q/uo+6b7ofuY+437h/uI+477jfuC+3D7Yftc+137XPtS+0L7Nvs3+0b7W/tr+3H7cftv+2/7cftz+3j7f/uI+477j/uO+477k/uY+5v7nPuc+537ofum+637s/u2+7f7uvvC+9L75vv3/AH8BPwC+/77/fwB/Ar8F/wl/DP8Q/xS/F78ZPxn/Gr8cfx5/H/8gvyF/I78mfyl/K/8uvzH/NT83/zm/O78/f0N/Rn9G/0a/R/9Lf0//Uz9U/1a/Wb9df2C/Yv9kf2W/Zz9ov2p/bP9vf3D/cP9wf3E/cz91/3g/ef97/3+/g/+H/4p/jD+Of5G/lP+Xv5n/nD+ff6O/p7+qv6x/rb+v/7M/tz+6v73/wP/EP8Z/xv/Gf8W/xr/JP8x/z//S/9V/1//af91/4P/k/+j/7T/x//a/+z//AAQACkARwBlAIEAnAC7AN4A/gEYAS0BSQFwAZ4BxwHlAfkCDgIuAlwCjQKvArkCtAK5At4DHwNiA4kDjAOAA38DlwPDA/cELARgBJUEyQT6BSQFQwVVBWEFaQViBTgE3ARWA84DdAN0A/IE9AZWB7wIuwktCV4J2QrkDDANDg0EDDALJQpiCfUJogk4CMoIgwhuCHMIeAiBCJgItQi6CJkIZAg+CDUIPghDCD4IMQgbB/kHywecB3UHVgc4BxsHAwb1BukG2wbKBr0GuQa3BrAGpgaeBpcGigZ1BmAGVgZaBl8GXQZSBkgGPgYuBhMF8gXYBcgFuAWbBW0FMwT1BLIEawQgA9UDlANoA1YDWQNYAzcC5AJqAekBegEjANYAhwA0/+X/n/9h/yP+5f6o/m/+QP4c/gH96/3X/cT9tv2u/af9n/2X/Y79hv13/WL9S/07/Tb9Nv0w/SH9D/0F/QX9Df0X/SH9Kv0v/S/9Kf0h/Rz9Hv0p/Tv9Uv1s/Yf9ov29/df97f4B/hf+M/5W/nv+nf66/tf++P8g/07/fv+t/9f/+gAbAEAAbQCiANsBEAE9AWABdAF4AXABbAF6AaAB1AIEAicCQAJbAoACqgLSAvYDHQNJA3gDoAO5A8gD1wPwBBQEPAReBHgEjQSkBMEE4QUBBSAFPAVVBWsFfwWTBaoFwwXYBecF9QYJBiMGPAZOBloGaAZ/BpkGsAbCBtAG4QbvBvYG+Ab6BwAHCAcMBxEHGwcrBzYHNAckBxMHCAcABvQG4QbOBsAGtgasBqIGmgaVBo4GgwZ2BmwGZQZgBloGVgZYBlwGXwZdBloGWQZYBlYGVgZdBmsGdgZ3BncGggaYBqkGpQaVBpcGvgb+ByoHHgbcBooGVwZfBpwG8Ac5B10HWAc3BxIG/wcLBzUHYAd5B3UHXgdMB08HZAd9B5EHowe4B88H3wfjB+EH5QfyB/0IAAf9CAEIEQgmCDUIPAhCCFAIZAh4CIgImgiwCMwI6AkDCRkJKgk4CUcJXAl2CY8JowmyCcIJ1gnqCfkKAgoKChIKFwoVCg4KBQoBCf0J+AnyCfAJ9woKCiQKQApZCnIKkQrCCwgLWgumC9sL+QwLDB8MPAxaDHYMiAyPDIcMcwxaDEMMMAwbC/8L3Au6C54LiQt9C30LhguPC4kLaQswCuwKrgqICoMKoArUCw0LNAs/CywLBQrXCqwKhgpmCkwKNwooCh0KFQoPChMKIwo7ClIKYQpsCoEKqQrgCxoLUAuDC68LzQvUC8gLswugC40LcwtMCxgK3AqXCkoJ/Am6CYoJbQldCVcJWgllCW8JcwlwCWsJaAltCXsJkwmtCcEJzQnaCe4KBQoTChsKNQp+CvkLgwvwDDEMWQyEDLkM6A0EDQwNBwz3DNkMrwyBDFgMMQwFC9YLrguWC4oLgQt2C20LbQt1C3sLfQt6C3cLcwtnC1ILOQsnCyQLLAs4C0ILTAtcC3ULiguLC3gLXwtWC18LaQtfC0MLJwsWCwMK1QqDCiIJ1AmnCZEJfAlbCTAJBAjZCLAIjQhyCGIIWAhUCFIITghHCDsIMAgsCDIIOgg+CDwINggsCB0ICgf1B+IH0Ae8B6QHiQdwB1gHPwcjBwQG5AbEBqIGgQZjBkkGMAYXBf4F5AXLBbAFkgV0BVoFQgUnBQYE4QS+BKEEiQRxBFYENQQVA/YD2wPDA6sDlAN/A2wDWANAAyQDBwLtAtkCxwKzApsCgQJmAkgCJgIAAdgBrwGGAVsBMAEEANUAogBsADYABv/c/7P/gf9E/wL+xP6U/nD+Uv4z/g794/23/Yz9ZP0//Rr8+PzW/LL8iPxX/CL77fu5+4P7S/sT+t/6rvp/+lD6Ifn2+c75pfl2+UX5Ffjo+Lz4jfhZ+CL37fe995T3cfdQ9y33AvbP9pv2afY79gr11fWf9W31Q/Ud9Pf00PSr9Ij0ZPQ+9Brz/PPn89TzvvOh83/zXPM78x3zBPLq8sTyhvIz8dvxlfFr8VnxUPFD8S3xC/DZ8JnwV/Af7/zv6+/k7+Pv5+/v7/zwCvAY8CTwMPA+8E7wXfBm8GrwcvCO8MnxG/Fv8a7xzfHR8cbxtPGg8YrxcPFO8SXw//Ds8PfxI/Fs8cvyOvKk8vHzEfMU8x7zS/OV89z0BfQR9Bb0JPQ39D/0NfQc8/3z3/PF87DzpPOe85vzlvOO84PzefN183zzk/O289rz9fQH9Br0M/RO9GL0ZvRb9En0OfQu9CT0GfQL8/vz7PPj8+Hz5vP09Aj0IfQ59Er0V/Ro9Iv0xvUZ9X315PZB9oj2uvbg9wr3QveM9+T4Svi9+Tr5uPou+pf69vtO+5776fwz/Ij86v1U/bb+A/43/lz+g/7B/xb/dP+9/93/3P/Y//AALAB5ALoA2wDiAN4A4gD4AR0BSwF8AawB3wIVAkwCgQKzAuQDFwNLA3wDpwPOA/gEKQRgBJoE0AUABS8FYAWaBd0GKAZ3BsUHEAdRB4gHvwf/CEoIjgi0CLAIkAhoCDgH4wdTBpIF1QVVBSoFQgV4BbAF4AYFBh4GLwY9BkoGWQZpBnsGlga4BtoG9AcIBxoHKQcwBy4HLgc7B00HUQc/BzAHSAeUB/oIUwiMCKwIyQjlCP0JEgkzCWcJqAneCf0KCQoQChgKIwowCj8KSwpLCkAKNwpDCmUKjQqoCroK1gsJC0gLgAuqC9UMCgxFDHEMgwx/DHcMdQx6DIcMpAzZDSYNgg3lDkkOqA74Dy8PTA9XD1YPSQ8yDxYPAA72DvcO+w7+DwMPDA8YDyAPJA8pDzUPSQ9gD3EPdw91D3APag9VDxIOhg2tDJ0LdgpJCRoH+AcSBqIGxQdeCCUI2AlbCbgKAQo/CmwKhQqLCoEKbApNCigJ/wnUCaMJbgk2CP4IxwiOCFAIDAfIB4sHYwdUB1UHTAcnBuYGogZxBloGTgY9BiUGDAX2Bd8FvAWQBWAFMwUKBOUExgSwBJ0EhARcBCkD9wPOA64DkQNxA04DLAMNAvAC0gK0ApgCfgJmAlACPAIuAiMCFQH/Ad4BtwGSAXUBXgFEASMA/QDbAMIArwCcAIcAcQBeAE4APwAvACAAEQAA/+v/0v+4/53/gf9j/0T/KP8S/wL+9v7p/tr+zP7D/r/+vf64/qz+mP5//mb+TP41/iH+E/4L/gP99v3l/dH9vv2r/Zb9gP1o/U/9N/0g/Qr8+Pzq/N38zvy8/Kr8m/yP/IX8ePxq/Fr8TfxC/Dn8Mvwt/Cj8I/wd/BX8DPwD+/37+fv0++775/vg+9n7z/vB+7L7pfue+537nfuc+5j7kvuJ+4D7fPuB+5H7pfu0+7T7qfuf+6H7rvu7+7v7r/ul+6b7svu8+7v7svur+6v7rvut+6n7qPuv+7n7vfu3+6/7q/uv+7X7tvuw+6f7n/uZ+5X7lfuY+5v7l/uI+3L7XPtR+1b7Y/ts+2j7WvtN+0z7VPte+2L7Y/tm+277dvt6+3j7dPtz+3b7evuA+4f7j/uV+5n7mvuc+5/7pfuq+677sfuy+7L7s/u6+8f72fvr+/f7/fv8+/n7+fv+/Aj8Ffwh/C38OPxF/FD8VvxZ/Fz8Yvxq/HH8dPx3/H78ivyY/Kb8tPzD/NH82vzh/Or8+f0L/Rj9Hv0f/SX9Mf1A/U39V/1j/XL9gv2N/ZT9l/2b/Z/9pP2q/bP9vf3F/cj9yf3L/dL92v3j/ev9+P4I/hr+Kf4y/jv+Rv5V/mP+bP5x/nb+gf6T/qb+tP65/rr+vv7J/tj+6P71/wH/DP8W/xr/Gf8W/xT/Gf8k/zD/O/9D/0z/V/9m/3j/if+a/6v/v//T/+X/9gAJACMAQQBfAHkAlAC0ANgA+wEXATABTgFzAZ4BxAHhAfYCBwIcAjkCXgKCApwCqQK0AskC6wMSAy8DQgNVA3YDpgPdBBQESQR8BK4E3AUCBR4FMAU7BUIFQgUrBOoEewP4A5IDdAO7BG0FfQbAB+YIpgj4CTYJ3AsQDGoNNw0RDDMLNgqOCjUJ3glfCNcIfghjCGYIZghhCGUIcwhxCFEIIggBB/8IEAgeCBsIBwflB7wHkQdsB08HNgccBwUG9wbxBuoG3AbMBsIGwQa/BrUGowaUBogGegZnBlMGSgZLBk0GRgY7BjIGKAYTBe8FxgWoBZoFiwVqBTQE8gSvBG0EKQPlA6sDgwNzA3MDcgNYAxMCogIZAZYBLQDbAJIAR//6/7D/bP8p/ub+pf5r/jn+Ev3y/dv9y/29/bD9o/2Z/ZP9jv2K/YP9ef1o/VL9Pv0x/S79L/0q/R39Dv0F/QX9Df0Y/ST9Lf0y/TH9LP0o/Sf9Kv0y/T79T/1k/Xz9lv2x/c796/4F/h3+N/5U/nX+l/65/tz/AP8o/0//d/+g/8r/9AAaADwAXACAAK8A7QE4AYcByAHpAekB2QHSAeAB+gIQAhsCJQJAAm8CpwLVAvcDGANHA4MDvQPkA/YEAQQVBDkEYwSKBKkExQTkBQgFKwVIBWAFeQWTBa4FxAXWBegF+wYMBhkGJAYzBkkGXwZwBnwGiAaaBq8GxAbWBukG/AcJBw0HDAcQBxsHKAcxBzUHPQdKB1IHSwc4ByAHDgcABvIG4QbTBssGxgbABrgGsgatBqYGmQaKBn8GegZ3BnMGbgZtBnAGcAZsBmcGZAZjBmIGYgZmBm4GcwZyBnMGgwalBskG4AboBvEHAgcPBwIG1AabBngGeQaVBrgG2Ab1Bw8HHwceBxAHBgcRBx0HPwdRB0oHOAcxBz8HWwd5B5AHpAe2B8UHzAfMB80H1gflB+8H8QfwB/cICQgcCCoIMQg6CEoIYAh0CIMIlAirCMgI5Qj9CRAJIwk2CUwJYgl4CY0Jowm5Cc0J3wnsCfQJ/AoGCg8KFQoVChAKBwn9CfMJ6wnpCe8J+woMCiIKQApjCocKqgrQCv8LOgt6C7IL3gwADBwMNgxNDGAMbgxyDGgMUgw0DBgL/gvmC84LuAunC5oLigt5C28Lcgt8C3gLUwsJCq4KYgpACk4KgQq/CvILCwsHCu8KzgquCpQKgApsClcKQgoyCicKIQohCikKPApWCm0KfAqHCp0KxQr8CzQLZAuKC6cLuQu/C7kLsAulC5YLewtRCxsK3wqbClEKCQnOCagJlAmMCYwJkQmaCaEJowmhCZ4JoAmpCbgJzAngCe4J+AoFChwKNQpIClUKdAq+CzYLvAwnDGYMiAykDMYM5gz6DQINAgz6DOcMyAylDIIMYAw8DBcL+QvmC9oL0AvJC8gLzgvVC9YL0QvJC8QLvwu2C6gLlwuJC4MLhQuNC5kLpwu2C8QLyQu+C6ULjQuGC5ILoAubC30LVAsuCwoK1wqLCjMJ6Am7CaUJkwl4CVAJIgj1CM0IrAiVCIcIgQh+CH0IeQhzCGoIZAhkCGoIcQhxCGsIYQhYCE8IQwgxCBwIBwfzB9wHwwenB4wHcQdVBzYHFAbwBs4GrwaTBnkGXgZDBigGDQXyBdUFuQWgBYkFcQVVBTMFDgTsBM4EsgSWBHkEWgQ8BCEECAPxA9oDwgOrA5QDfgNkA0kDMAMcAwsC+gLkAsoCsAKXAnsCXAI4AhIB6wHCAZUBZQE2AQgA2QCmAHEAPwAP/97/p/9o/yr+8/7K/qn+i/5n/j3+Dv3g/bb9kP1u/U79Lf0K/OD8rvx2/D78DPve+6/7e/tF+xD64Pqx+oL6Vfos+gX53fmv+X35T/km+Pz4zfiX+GD4K/f69833pfeC92H3O/cN9tn2pPZx9j32BvXP9Z/1dvVQ9Sn0//TX9LL0jfRn9EH0I/QN8/vz5fPK86jzgvNc8zvzJPMW8wXy4PKe8kbx7fGk8XDxUPE88S7xHPD78MrwjvBV8CnwC+/67/Lv8+/58APwD/Ab8CjwNPBB8E7wXvBp8GrwZvBu8JPw2PEp8Wrxi/GO8YLxdPFo8VrxQ/Ef8PHwxfCs8LHw2fEg8X7x6vJT8qTy0fLk8vbzG/NR84Hzm/Oi86fztfPK89fz0/O9857zffNe80TzMPMf8xHzBPL78vby9PL48wXzH/NF82vziPOZ86Tzr/O587vzs/Oj85Lzh/OE84TzhfOC833zePN4837zi/Oc87DzyPPk8/70E/Qj9Dn0YPSj9QD1a/XQ9iP2YvaX9sz3CfdL95L34fg/+Kz5IPmU+gL6bfrU+zb7kPvo/ET8qv0T/XL9vf3z/iH+Vf6a/ur/N/9u/4j/j/+Z/7v/+ABAAH0AnwCpAKoAswDMAPUBJgFYAYkBuQHrAh0CTgJ/ArQC6wMiA1IDegOfA8YD8gQkBFoEkwTKBP0FKwVYBY4F0gYlBn0GzgcSB0sHhQfJCBAISAhdCE4ILQgDB8QHUQaeBcwFHgTJBNAFDAVKBXUFlAWxBdIF7gYABgwGFgYlBjsGWQZ6BpgGsAbBBtEG3wboBu8G+QcIBxIHDAb3BuwHBwdOB6kH+AgtCFIIcgiNCKEItgjbCRYJWAmNCasJvAnLCdwJ6gn3CgoKIQoyCjIKKAokCjMKUQpuCocKpArLCvgLIAtCC2gLngviDCQMVwx0DH4MeAxpDF4MYgx/DLEM9A1FDaEOBA5iDq8O7A8cD0EPUg9LDzIPFQ8ADvIO6A7fDtsO3A7dDtoO1w7hDvwPHA8zDzYPLQ8lDyQPHA7wDoMNzQzcC8wKswmWCH4HgwbWBqMG8AeXCFQI8wllCbUJ9AooCk0KYAphClYKQAoiCf0J0AmdCWYJMAj8CMoImAhnCDQH+we6B3oHTAc/B08HXAdEBv4GpgZhBkIGPAY1Bh4F/QXeBcIFpAV9BVAFIwT5BNIEsgSZBIQEbARKBB8D8wPNA60DjgNtA0kDKAMJAukCyAKmAogCcAJaAkICKQITAgYB/wHzAdoBtAGKAWYBSwEwARAA7gDQALoAqACVAH0AYwBMADkAKgAaAAr/+f/l/8//uP+h/4n/cf9W/zr/If8M/vz+7/7h/tL+xP66/rT+r/6m/pj+hf5w/ln+Qf4m/g39+f3t/eb93f3O/br9pf2T/YH9b/1a/UP9K/0V/QH88Pzi/Nf8y/y//LL8pfya/I/8g/x1/Gf8WfxN/EP8O/w2/DL8Lvwo/CH8GPwR/Av8Bvv/+/f77/vn++D71vvJ+7v7sPuq+6f7p/um+6P7nvuW+477iPuN+5/7ufvN+9P7yfu8+7j7wPvI+8f7uvus+6n7sfu4+7f7r/uo+6f7qPun+6b7qfux+7j7t/ut+6X7p/uz+7/7wfu6+6/7qPul+6X7ovud+5j7kfuE+277VPtC+0L7Vvtv+3z7eftr+2D7Xfte+177Xvtk+3P7gfuF+3v7a/tg+2D7aPty+3v7gfuF+4f7ivuP+5n7o/us+7H7svux+6/7sfu2+7/7zPva++f78Pv1+/b7+fv+/Aj8Ffwf/Cj8MPw4/ED8R/xK/Ez8UfxX/F78Yvxm/Gz8dvyD/JL8ofyw/L38yfzT/N/87/0B/RP9H/0o/TD9Of1D/U39Wf1o/Xn9iP2R/ZT9lv2Y/Zv9n/2j/an9sv28/cP9yP3N/dP93P3m/fL+Af4S/iH+Lf42/kD+Tv5e/m3+eP5//oX+kP6h/rT+wv7I/sj+yP7N/tj+5P7v/vn/Av8N/xb/G/8a/xb/Ff8a/yP/Lf81/z7/Sf9a/23/gP+S/6f/vv/U/+b/9QAHACAAPwBdAHgAlAC0ANkA/QEcATkBWAF8AZ8BwAHeAfgCDwImAj8CXwKGAqsCxwLaAuwDAgMdAzcDUwN1A6ED1AQGBDUEYgSOBLkE3QT4BQkFFQUeBSIFFQToBJAEGAOnA28DkwQbBPcGCAcgCAQIiwjHCRAJxwr1DCkMxgyFC7AK3AplCjMJ8gl4COgIgQhZCFUIUwhMCEgIRwg6CBgH7wfXB9gH5gftB+IHxgefB3YHUwc7By4HIAcPBv0G8gbtBuUG1gbIBsUGygbKBrwGowaNBn8GcwZjBlEGRgY/BjcGKwYeBhYGCQXsBbwFigVpBVwFTQUpBPAErwRxBDYD+gO/A5IDfgOAA4UDdAM9AtwCXQHYAWIBAgCxAGMAFP/H/3//Ov71/q/+b/49/hb99v3b/cf9u/21/a79o/2X/Y/9jf2M/Yf9e/1n/VL9P/00/S/9Kv0j/Rj9Df0G/QT9CP0R/R79Kf0w/TD9Lf0s/S79M/04/T/9TP1e/XX9jP2n/cT94/4A/hr+M/5P/m/+kv63/tz/Av8n/0r/bP+Q/7r/5wATADgAVABtAI0AwgESAXMB0wIZAj0CSAJOAlkCYQJbAkgCPQJQAoMCwALtAwcDHgNJA4sD0QQGBCAELQQ+BF0EhgStBM4E7wUVBT4FYQV7BY4FpAXBBeIF/QYQBh4GLQY7BkgGUgZfBnIGiAacBqsGtwbFBtMG4AbvBwAHEQccBxsHFgcYByUHNwdEB0oHTgdUB1YHTwc+BysHGgcNBv0G7gbjBt4G2wbUBssGxAa/BrcGqQaZBo0GiQaJBoYGggaCBoMGggZ8BnUGcgZ0BnYGdQZyBnAGbgZrBnAGhwaxBt8HAgcTBxgHFgcEBtsGpgaCBoYGqAbIBs8GwwbABtUG9gcLBwgG/QcCBvEHEAcjByUHIQcnBzwHWAdyB4UHlAegB6kHrwe0B7wHyAfVB90H4QflB/AIAQgSCB0IJwg1CEsIYgh2CIYIlgitCMoI5Qj6CQwJHwk3CVEJaAl6CY0JpQm/CdYJ5QnsCfEJ+QoECg0KEQoSChAKCgn9Ce0J5AnnCfYKBwoWCikKSAp2CqkK1Ar0CxELMwtgC5ELvwvoDAgMIAwyDEAMSwxSDE4MPgwlDAoL8AvYC8ULtwutC54LhAthC0MLNAsyCykLAQq5CmYKKgodCkEKfQq2CtcK3grSCr8KrQqfCpYKjQqBCm8KWgpJCkAKPgpBCkkKWApsCoEKkgqhCrgK3QsOCz4LZQuBC5YLowuoC6ULnwuWC4gLcAtMCxwK4wqiClwKGQnlCcUJuAm4Cb0JxQnOCdMJ1AnSCdIJ2AnjCfEKAAoOChcKIAovCkgKZgqBCpYKtwr6C2AL1Qw4DHcMmgy0DM0M4wzxDPYM9QzxDOcM1wzBDKcMjQxzDFwMSAw3DCcMGwwXDB0MKAwtDCcMHAwSDAsMBwwCC/0L9wvwC+gL4wvnC/MMAwwMDAsMAAvuC9kLyQvGC9EL3AvSC6kLbQsvCvoKxgqGCj4J/QnSCbsJqgmPCWYJNwkLCOgIzgi9CLMIrgipCKUIoQifCJ0IngigCKQIpgihCJcIjQiHCIQIfAhsCFUIPAgmCBEH+AfbB70HnweCB2MHQQcdBv0G4QbHBqwGjgZwBlMGNwYZBfwF4AXIBbIFmQV7BVoFOAUZBPsE3AS9BJ8EgwRnBE0EMwQbBAQD7QPVA70DpQONA3UDYANQA0EDLgMWAvsC4gLMArMClQJxAkwCJwH9Ac8BnAFrAT4BEgDjALEAegBCAAb/yf+O/1v/Mv8Q/u7+yf6e/m/+Pv4P/eP9vv2e/YH9Y/09/Q781vya/GP8NfwM++H7r/t6+0f7GPrq+rv6jvpk+jz6E/nk+bL5hfld+Tb5CfjX+KP4cfhB+BL35Pe795b3b/dC9w/22van9nH2OvYE9dX1rvWH9Vv1K/T+9Nf0tfSR9G30TvQ19B/0CfPu88/zrfOI82TzRvM18yrzGPLw8q/yXfIJ8b3xgPFW8T/xMvEl8Qvw4vCv8HrwT/A08CzwL/Az8DHwLvAu8DXwQfBM8FbwYfBp8GnwYfBc8GvwlfDP8QDxGvEc8RLxB/EB8Pnw5/DH8JzwcfBY8F7whfDH8R3xfPHb8izyZ/KQ8rTy3/MS8z7zWfNl827zffOO85bzivNq8zvzB/LZ8rXym/KH8nfybfJs8nXygfKN8pnyqvLD8uDy+fMM8xnzIvMn8yXzHPMS8wvzCfMK8w7zEfMU8xbzGvMj8zPzSfNh83nzkvOu88vz5vP69Av0I/RO9JL06fVI9aD17/Y49oH2y/cS91T3lffd+DL4kvj1+Vn5v/op+pb7BPtz++P8VfzB/Rz9Zv2l/ef+Mv6A/sX++P8Z/zH/TP9w/5//1QALADsAXQBxAH4AjgCrANYBCAE7AWsBmAHFAfUCJwJbApMCzAMCAy8DVgN6A6ADyAPzBCQEWwSYBNAE/AUhBUwFigXeBj0GlQbeBx0HWwegB+IIDQgUB/oHzQeRBzYGpQXkBR0EkQRnBJAE2QUTBTEFRQVgBYQFpQW9BcwF3AXwBgoGJwZDBlsGbAZ5BoYGkwahBqwGtwbABsQGvwa1BrcG1QcQB1YHlgfIB/EIFQgxCEUIXQiGCMQJBgk4CVcJbAmECZ0JsAm/CdUJ+AoeCjQKNAopCiIKKQo6ClIKcQqXCrwK2QruCwYLLQtqC7cMBgxJDHQMfwxuDFQMRAxIDGAMhwy/DQsNZg3HDiEOcQ64DvQPHg8vDywPHw8PDv0O5w7QDsAOtg6rDp0OlQ6gDsAO5Q72Du0O1w7HDsAOpg5ZDcgM/gwTCxwKGgkNCAIHJQapBqwHHAfICHMI/QlgCakJ4QoLCiYKMAouCiEKDQnwCcsJmwljCSgI8QjBCJQIZgg2CAoH3QerB3IHQwcyB0UHXwdXBxgGtwZgBjEGIwYcBggF5gXEBaYFigVmBTsFDATgBLsEnQSFBG8EVQQyBAsD5gPFA6YDhANgAzwDHQMCAuQCvwKYAngCYwJSAjwCHwIBAe0B5QHfAc0BrAGBAVcBNQEXAPkA3ADEALMApQCSAHcAWQA8ACUAEwAE//T/4f/M/7X/nv+I/3X/Yf9L/zP/Hf8I/vb+5/7Z/s3+w/66/rD+pf6V/oP+cf5e/kz+Nf4a/fz94v3R/cj9v/2z/aL9kf2C/XP9Yv1N/TT9HP0G/PT85vza/ND8x/y+/LP8qPyc/JH8h/x9/HL8Z/xb/FD8R/xC/D/8O/w2/C78JPwc/BX8DvwH+//79vvt++T72fvN+8H7uPux+637qvup+6j7pvuh+5n7kPuN+5X7qPu7+8T7v/u0+677sfu4+7n7s/uq+6f7q/uu+6z7pvug+577nfuc+537ofup+637qfui+6D7qvu7+8f7x/u9+7L7q/uq+6j7ovuY+477iPuB+3L7WvtA+zL7OftP+2X7b/tt+2j7Zvtj+137Wftf+2/7gPuE+3b7YvtW+1n7Zftv+3L7cPtv+3H7dvt/+4r7l/uj+6z7r/uw+7H7tPu5+7/7xvvO+9f74vvs+/T7+vwA/An8Ffwf/Cb8K/wx/Dj8PvxB/EL8RPxJ/FD8VvxZ/Fz8Yvxr/Hb8g/yR/KH8sfzB/NH84fzz/Qb9Gf0q/Tb9P/1F/U39Wf1p/Xv9iv2S/Zb9l/2a/Z39oP2i/ab9rP20/b39xf3L/dH92v3m/ff+Cf4a/ib+MP45/kb+Vf5l/nX+g/6O/pn+pP6x/sD+zv7W/tj+1v7W/tr+4v7o/u7+9f8B/xD/HP8f/xr/Ff8W/x7/KP8x/zn/RP9U/2b/ef+N/6P/u//S/+T/8wAGACAAPwBdAHkAlgC4ANwBAAEhAUEBYwGEAaIBvAHXAfYCFwI3AlUCdQKaAr8C3gL2AwwDJgNDA2EDfwOiA8oD9QQdBEMEagSUBLsE1wToBPIE/AUFBQEE4QSaBC0DuANoA2oD0wSVBY4GkQd0CBcIbwihCPgJtArBC7YMFwu+Cv4KWgoYChQJ+gmcCRUIoAhbCD4IMggrCCcIHwgKB+YHwgeuB6sHrweqB5kHfgddBzsHIgcXBxcHFgcNBv0G8AbmBtsGzQbEBscG0AbSBsQGrQabBpAGhwZ2BmAGSwY4BiQGDwX9Be8F2wW0BXwFRwUnBRsFCwTlBKsEbwQ6BAkD0wOfA3sDcwN6A3cDUQMBApECFgGhAT0A5QCRADz/5/+a/1X/E/7O/or+UP4m/gj97v3V/cH9uP24/bb9rv2h/Zf9lP2S/Yz9ff1p/Vb9SP0//Tj9L/0l/Rv9Ev0L/Qb9BP0J/RX9Iv0s/TD9Mf0z/Tf9O/0+/UH9S/1a/W/9hv2g/b393P37/hf+Mv5N/mv+jP6s/s7+8f8W/zz/Yf+I/7L/3wAKADEATwBoAIQArQDsAUABnAHtAigCUgJ0ApECoAKZAoMCdQKHArkC8wMbAy0DPANgA54D5gQgBEEEVARnBIMEpwTKBOkFCQUvBVgFewWUBaYFvAXaBfwGGwYwBkEGUAZgBm4GeQaFBpcGrQbEBtgG6Ab1Bv4HAwcLBxcHJgcuBysHIgcfBygHOAdGB0wHTQdNB0wHSQdBBzkHMAckBxYHBwb9BvcG8AbmBtoG0wbPBskGvAaqBp4GmAaWBpQGkgaTBpYGkwaJBn8GfQaDBokGiAaCBnsGeAZ5BoMGmwa/BuMG9wb3BuwG3QbLBq8GlAaMBqMGyQbeBtEGswamBroG3wb0Bu4G3QbbBsgG4wb2BwEHCwccBzQHSwddB2sHdgeAB4gHkgedB6oHtwfBB8kH0QfdB+0H/ggNCBoIKAg8CFQIbAh/CI4Ingi0CNAI6wkACRAJIgk4CVIJaQl9CZAJqQnDCdoJ5gnsCfIJ/AoICg4KDgoMCgoKBgn6CeoJ4QnoCfwKEAofCi8KTgqACrkK6wsMCyMLOgtXC3kLmwu8C9oL9AwLDB0MLQw6DD0MNAwhDAsL9gvlC9YLxQuqC4ELSQsNCtwKwAq1CqgKjApgCjYKJwo+CnEKpwrJCtAKxQq2CqsKpgqlCqUKowqcCpAKgApyCmoKaQpqCm0KdAqCCpQKqAq9CtYK9wsdC0ILXwt2C4kLmAugC54LlguKC3sLZQtGCxwK5wqpCmcKLAoACecJ3wniCeoJ9QoACgYKBwoHCgkKEAobCicKMgo7CkMKTQpdCngKmgq8CtoK/Qs0C4UL5Aw8DHwMpgzEDN4M8gz7DPoM9QzwDO4M7AzjDNEMvQyrDKAMlgyHDHMMZAxjDG4Megx9DHQMaQxhDFwMVgxRDFIMWAxbDFMMRwxFDFEMYgxoDF0MSQw2DCcMGQwNDAYMAAvrC7wLdwsvCvMKwwqQClYKHAnwCdUJvgmeCXIJQwkbCP4I7AjiCNwI2AjSCMwIxwjHCMsI0QjVCNYI0wjOCMYIvgi6CLcIsAigCIgIbQhVCEEIKggNB+wHzAevB5AHbwdMBy0HEQb3BtkGugaaBnwGXwZABiIGBwXwBdkFvQWcBXoFXAVBBSQFBATlBMgErgSTBHcEWgRABCkEEwP8A+YD0AO8A6gDmAOJA3gDYwNJAy4DFwMDAuwCzgKrAoYCYQI5AgsB2AGlAXgBTQEhAO8AtQB0ADD/8f+9/5f/ef9b/zT/Bv7W/qb+dv5G/hn98/3U/bf9lv1r/Tb8+/zC/JH8aPxC/Bj75vux+3/7Uvsl+vb6x/qc+nP6Sfoa+ej5uvmR+Wv5P/kO+Nv4q/h8+E74Iff298z3ofdw9z33Cvba9qf2cvY+9hH16vXC9ZT1YfUx9Qv06/TM9Kn0iPRr9FD0NvQZ8/zz4PPB853zePNY80HzL/MV8uzys/Jv8ifx4fGl8XrxYfFV8UnxLvEA8MfwlvB98H7wivCO8H/wZfBR8EzwUvBY8FrwWvBc8F7wW/BU8FPwX/B38JDwofCm8KPwnPCT8Inwe/Bk8ETwJvAV8B/wRPB88L7xBPFM8ZLx0vIM8kPyfPK18ubzCPMc8yjzMvM38zHzFvLn8qvybfI68hnyBvH68fHx7fHz8gPyGPIp8jTyPPJI8ljya/J+8pDyofKt8rLysfKw8rLytPK28rfyu/LD8s/y3fLt8wPzIfNE82fziPOm88Pz4PP59A30H/Q29Fz0lfTe9S71fvXP9iT2e/bO9xj3V/eT99T4Hvhs+L35Evlu+df6TPrL+1L72PxS/Lf9CP1T/ab+Av5Z/pj+vP7R/u3/Gf9O/37/pf/H/+sAEwA4AFcAcgCTAMAA9QEnAVQBfAGmAdUCCQJAAngCrQLdAwgDLwNWA34DowPHA+8EIwRhBJ4E0AT2BR4FWQWsBhAGdAbJBxAHTQeGB7YHzwfIB6IHYQcHBosF5gUsBIgEKgQkBFwEowTVBO8FBAUgBUEFXgV1BYsFpgXEBeIF/AYSBiYGNQZABkoGVgZgBmcGaAZpBmwGcQZ5BoYGnwbEBvIHJgdaB48HvQfeB/MICQgwCGkIpgjXCPkJFQk1CVQJbQmACZsJxwn+CioKPQo1CiEKEAoNChwKPApnCpAKrgq/CswK4gsMC00Lnwv1DDgMWQxXDEAMKwwkDC4MRAxoDJ8M7A1GDaEN9g5DDoQOtw7bDvIPAA8FDvsO4w7GDq4OnA6KDnMOYQ5iDnoOlw6iDpMOdg5aDj0OBg2aDPgMNAtkCooJmQiPB44GzwaGBrwHSgf0CIsI/wlWCZgJygnqCfsJ/gn5CeoJ0wm0CYsJWAkeCOMIsAiGCF4IMQgCB9kHtweRB2AHLwcXByYHSQdUBykGzgZqBiMGAQXyBeEFyAWrBY8FcwVPBSIE8ATDBKAEiQR4BGUESAQgA/UD0QO0A5gDdgNOAygDDAL1AtwCtwKOAmoCUwJFAjMCFgH2AdwBzgHFAbYBmgFzAUoBJAECAOUAzAC5AKwAnwCMAHEAUQAwABP//f/t/97/zf+5/6P/jf94/2X/Uv8//yv/Fv8A/uv+2f7N/sb+wf67/rD+oP6M/nb+Yf5O/jz+Jv4L/ez90P28/a/9pv2a/Y39gP11/Wn9Wv1F/Sv9Evz8/Or83fzR/Mj8v/y2/Kv8oPyU/Ir8gfx6/HP8bPxj/Fn8UfxM/Ej8Q/w8/DP8KPwf/Bb8DvwH+//79vvr+9/70/vI+8D7uPux+6v7p/ul+6b7qPun+6H7l/uM+4j7jfuY+6D7oPub+5b7mPue+6P7pPui+6H7ovui+5/7mvuX+5T7kvuQ+5H7lfua+5z7mvuZ+6D7r/vA+8n7xvu7+677pfug+537mfuT+4z7ifuI+4L7cvtW+zv7LPsu+zv7SvtV+137Yftf+1X7TPtO+177cPt1+2r7W/tX+2L7cPt0+277Y/tg+2b7cPt4+3/7h/uR+5z7pvut+7P7ufvA+8X7yPvL+9D72fvm+/L7+vwB/An8FPwe/CX8Kvwu/DX8O/w//D/8QPxE/Ez8U/xX/Fj8Wfxe/GX8bvx6/Iv8n/yz/MT80fze/PD9BP0Z/Sr9Nf09/Uf9U/1k/Xb9h/2U/Zz9ov2m/ar9rf2w/bP9t/2+/cf9zv3T/db92/3n/fn+Df4e/in+M/4+/kz+XP5r/nj+h/6W/qX+sf67/sb+0f7b/t/+3v7c/t3+4f7l/un+7/77/wv/Gf8f/xz/Fv8W/x3/J/8v/zf/Q/9T/2b/ef+L/57/sv/H/9n/7AADAB8APQBaAHUAkwC2ANsA/gEfAUEBZgGJAaQBugHSAfMCGQJAAmMChQKmAsYC4AL2Aw8DLgNRA3EDkAOwA9UD+wQfBEIEaASSBLgEzwTZBN8E6QTwBOEEqQRGA8wDZwNHA44EPAUuBjEHEwe3CBgISwiBCPAJsgqfC1oLiQsmCoEKBwnsCgoKFQnaCWQI4Qh2CDAICwf+B/sH8gfYB7MHkgd+B3YHbwdlB1kHSgc1BxwHCAcCBwkHEQcMBv0G6gbbBs4Gwwa/BsQGzAbPBskGwAa8Br0GtgahBoMGZAZHBicGBQXlBckFqAV6BUEFEQT3BO0E2gSwBHQEOwQMA+ADrwN/A2IDXANdA0gDDAKsAjsBzwFvARgAxABsABL/vv91/zT+9/64/nv+SP4k/gv99P3b/cj9v/2//cD9uv2u/aP9nP2X/Y79ff1q/Vr9UP1L/UX9PP0y/Sf9H/0X/Q/9Cf0J/RH9Hv0q/TL9OP0//UX9Sf1J/Uj9Tf1a/Wz9gv2b/bj92P35/hf+Mv5N/mf+gf6a/rX+1f78/yj/V/+F/7L/2wACACYASABpAIsAsgDjAR8BYgGgAdcCCAI5AmoCkQKjAqUCqwLEAvIDIwNEA1QDYgOCA7cD9gQuBFUEcASKBKgEyQToBQIFHQU9BWEFhAWgBbYFzQXpBggGJwZABlUGaQZ8Bo4GnAapBrgGzAbiBvkHDgceByUHJgcoBzAHPgdIB0cHPAcyBzMHPQdIB04HTwdOB00HTAdMB0oHRAc4BygHGgcRBwsHAQb0BucG4gbhBtwG0AbBBrYGsAaqBqQGnwaiBqYGogaVBocGhAaMBpMGkgaKBoYGiwaVBqMGtgbNBt8G3gbIBqoGlQaPBpEGlgakBroG0AbVBsIGqQahBrQGzgbXBsoGuAa1BrUGxQbTBuAG9AcNByUHNwdFB1IHXQdnB28HeQeGB5QHoAeqB7UHxQfYB+wH/ggPCCAINQhLCGMIeQiNCJ4IrgjDCNwI9wkOCR8JLgk/CVQJawmBCZYJrQnFCdgJ4wnpCfEJ/goKCg4KCAoBCf4J/Qn3Ce4J6QnyCgUKGQooCjgKUwp+CrAK3QsBCx4LOQtRC2MLcQuEC6ALxAvqDAkMIAwtDDAMKAwZDAkL/wv5C+8L0QuZC0sK9AqrCnsKZQpcClQKSAo+CkIKXQqKCroK2grhCtQKwQq0CrIKtgq5CrsKvAq7CrcKrwqmCp4KmQqVCpMKlAqcCqsKwArZCvYLFgs1C08LZAt2C4oLnAuoC6oLpAuYC4cLcQtPCyIK6wquCnQKQwoiChEKDAoPChYKIAotCjcKOwo9CkEKSgpVCmAKaApvCncKgwqVCrAK1Ar6Cx8LRQt1C7cMBQxTDJIMwAzhDPwNEA0ZDRUNDA0IDQwNFA0TDQUM8QziDN8M3wzVDMMMtAy1DMIMzQzMDMMMvQy8DLcMqwyhDKYMuAzFDL4MpwyYDJ8MsQy7DLIMoAyQDIEMaAxEDCAMAwvmC7sLews0CvkKywqgCm0KOAoLCeoJywmkCXQJRwkmCRIJBwkACP4I/Qj6CPQI7gjsCPEI+Aj8CPwI+gj5CPYI8QjqCOMI2QjJCLEIlgh/CGwIVwg8CBwH+wfdB78Hngd7B1oHOwceBv8G3wbABqMGhQZnBkgGLgYXBf8F4AW8BZsFfwVmBUsFLAUNBPIE2QS9BJ0EfgRiBEsENgQiBA4D/QPtA90DzQO9A6sDlQN7A2EDSwM4AyIDBwLlAsECnQJ2AkgCFAHiAbMBiQFcAScA6ACgAFkAHf/y/9f/v/+d/3D/PP8K/tz+sP6C/lb+MP4Q/e/9xf2R/Vf9IPzu/MX8oPx7/E/8HPvn+7b7ivtf+zL7BPrX+q/6hvpY+iX59fnK+aL5d/lF+RD43Pis+IH4V/gw+Ab32Pej9233O/cM9tz2qfZ29kr2I/X89c/1nPVt9Uf1KPUH9OT0wfSi9Ib0aPRI9Cr0EPP389fzr/OE81/zQfMm8wny5vK98o3yU/IT8dXxpvGJ8XfxXfEy8Pzwz/C98Mfw2vDb8MPwnPB78G3wbPBo8F3wUPBJ8EzwUfBR8EnwPvA48DzwSfBa8GTwYfBT8EDwL/Ag8BHwAu/98ArwKfBS8Hzwo/DN8P3xNPFv8arx5vIf8lDydPKJ8pLylPKN8nryWfIq8fPxwfGe8Y3xi/GM8Yrxh/GL8ZnxrfHB8dDx2/Hl8fHx/vIP8iPyOfJO8lzyZfJr8nLyd/J78oDyivKe8rfyz/Lk8vzzHPNF83Lzm/O889jz8/QP9Cn0PfRN9GH0gvSy9O31LfVy9cD2F/Zx9sL3BPc692/3q/fu+DL4dvi++RL5evn4+or7J/u//EP8rv0J/WP9wP4W/lT+eP6R/rP+5P8a/0L/XP90/5j/ywAAACwAUQB6AKwA5AEYAUEBZAGKAbcB6gIfAlICgQKsAtUC/gMnA1EDdwOZA7wD6gQmBGYEnwTMBPcFLwWABesGYQbOByMHXAd9B40HjQd3B0MG6QZrBc4FIQSABA0D3wPzBCwEZgSRBK4EygTpBQUFGwUwBU0FcQWVBbAFwwXTBeUF9gYDBg4GGQYiBiQGIAYcBiAGLgZABk4GWQZpBocGuAb4BzsHcweXB6oHuQfVCAIINwhoCJEItgjcCQEJHwk6CVsJiwnJCgMKJwotChoJ/wnuCfEKDQo5CmgKjQqmCrYKxgrfCwgLQwuJC8oL9gwFC/4L9Av0DAAMEwwtDFUMkAzcDTANgQ3JDgcOPA5sDpoOww7dDuEOzw60Dp0OjA54DloOOg4nDikONg46DikOBw3ZDZwNQgzEDCkLgQrQCggJGggRByIGjgZ9BuAHfwgfCKAJAAlLCYcJsAnGCc4JzgnGCbYJmglzCUQJDQjSCJsIbQhJCCYH/QfRB6sHjAdrBzwHCAbnBuwHDgcnBxQGzQZtBhgF4gXHBbkFqgWXBX8FYgU9BQ8E2wSpBIQEcARoBFsEPQQPA90DtwOfA4kDagM/AxUC9wLiAswCrAKFAl8CRQI0AiICCQHrAc8BugGrAZsBhAFlAUABGQD1ANcAwACwAKMAlACBAGcASAAmAAb/6//W/8j/u/+s/5r/hf9w/1r/Rf8x/x3/Cv70/t/+zP7B/rz+uf60/qr+mv6G/m/+WP5B/iv+Ff37/d/9xP2t/Z79k/2I/X39cv1o/V79UP0+/Sj9EPz6/Of81vzI/Lz8sfyn/Jz8kfyG/Hz8dPxt/Gn8ZPxf/Fn8U/xO/En8Qvw4/C78JPwb/BP8CvwC+/n78Pvk+9b7yvvB+7v7tfut+6X7nvuc+537n/ui+6H7nPuU+4z7h/uJ+477kfuS+5L7k/uX+5z7nvue+537m/uZ+5X7kvuQ+477i/uK+4r7jfuP+5H7kvuY+6L7r/u6+7/7wPu8+7L7ovuU+4z7i/uO+477i/uJ+4n7hPt0+1j7PPss+yr7M/tB+077VftS+0f7PPs8+0r7XPtk+177V/tc+2v7eft2+2X7VftV+2T7dvuB+4L7gfuH+5P7ofut+7b7vPvD+8n7zPvO+9L72fvk++/7+fwB/An8E/wc/CP8KPwt/DP8Ofw9/D38PvxD/Ez8Vfxb/F38YPxj/Gj8bvx2/IX8mfyt/Lz8w/zJ/NX86Pz9/RD9Hv0q/Tf9Rv1W/Wf9ef2L/Zr9pP2r/bD9tv28/cP9yf3R/dr94v3m/eX95v3s/fv+Df4c/ij+Mf4+/kz+W/5m/nH+fv6P/qH+sP67/sT+zv7W/tr+2v7Y/tr+3/7k/uj+7f72/wP/EP8V/xT/Ef8S/xn/Iv8q/zP/Qf9T/2n/e/+K/5f/pv+3/8v/4f/8ABkANwBSAG0AjQCyANYA+AEYATsBYgGHAaUBvgHXAfcCHQJDAmcCiQKqAscC3gLyAwoDKgNMA2wDiQOqA9AD9wQbBDwEYQSKBK4EwgTJBM4E2ATbBL0EbQP2A34DPANbA+sE1QXlBtsHjAfqCA4IJghlCOwJtAqICxgLLQrTClEJ+wn1CiAKOgoVCa0JIgiZCC8H8gfaB9QHyAerB4UHZQdRB0QHOQcwBysHKQchBw4G+wb1Bv0HCQcIBvoG5QbSBsUGuwa3BrcGuwa+BsAGxwbVBuEG4AbNBq8GkQZxBksGHAXqBboFigVUBR8E9wTlBNsExASTBFQEGQPpA70DjgNiA0UDOAMpAv4CrwJLAecBjwFAAPAAmgBA/+n/m/9Z/x7+5v6u/nr+T/4w/hn+A/3t/dr9zv3J/cb9wP23/a79p/2g/ZT9hP1y/WP9Wv1W/VL9S/1B/TX9LP0k/Rz9Fv0T/RX9Hf0o/TP9Pv1J/VL9Vv1V/VP9Vf1d/Wz9f/2X/bL90v3y/hL+L/5J/mL+eP6O/qb+xf7s/xr/Tf+B/7H/3AAAACIARABrAJQAwQDwASEBUAF7AaEByAH4AjACZwKTArICzQLvAxgDQANdA3ADhAOjA9AEAgQzBF0EgQSkBMcE6QUGBR4FNAVNBW0FjwWwBcwF5AX9BhgGNAZPBmkGgQaZBq8GwQbQBt4G7Ab9BxIHKAc6B0MHRQdHB08HXQdqB2sHYAdSB0wHUAdZB2AHYwdjB2MHZAdjB18HVAdEBzQHKAcjBx4HFAcGBvoG9AbxBusG4AbWBtIGzwbHBrwGtAa2BrwGuQasBpwGmAacBp4GlQaKBogGlQanBrYGwQbNBtcG1Aa+Bp8GigaKBpsGrwa9BsUGxQa8Bq0GogalBrQGwgbABrEGpQamBq0GtQa9BswG5gcCBxgHJgcyB0AHTgdXB10HZAdvB34HiweYB6kHvwfYB+0IAAgTCCoIQwhaCG8IhQidCLMIxwjYCO0JBgkfCTEJPQlICVkJcAmGCZoJrgnCCdMJ3gnlCewJ9woCCgUKAAn4CfQJ9gn5CfsJ/QoFChQKJQo2CkgKXwp7CpkKtgrVCvkLHgs5C0MLRAtMC2oLmwvSC/0MFwwiDCIMHAwTDA0MDQwPDAQL2guLCyUKxwqKCnQKdAp2Cm8KZgpoCn8KpQrNCugK8ArnCtcKywrHCssK0grWCtgK2grfCuMK4QrZCs0Kwwq7CrYKtQq5CsQK2Ar1CxgLPAtbC3ELgAuNC5wLrgu8C8MLxAu9C64LkgtoCzEK9Aq4CoQKXgpHCj0KOgo8CkEKTApaCmYKbgp0CnsKhwqWCqIKqQquCrUKwArSCuwLDgs2C2ALiwu7C/UMOgyBDL4M6Q0GDR4NMw1ADUINPA05DUINTg1QDT4NJQ0XDRsNJA0iDRQNCg0ODRwNIg0bDRINEw0bDRkNBwz2DP0NGQ0uDSIM+QzVDM8M4AzvDO0M4QzVDMIMmwxgDCML+AvbC7kLggs9Cv4KzgqkCncKRQoZCfQJ0AmjCXMJSwkzCSgJIgkcCRsJHgkgCRwJFQkQCRMJGAkbCRsJHAkfCSEJHAkRCQQI+AjpCNQIvAimCJIIfwhlCEYIJwgJB+sHywenB4MHYgdDByQHBQbnBsoGrQaOBnAGVQY9BiIGAgXeBb4FpAWMBXEFUwU2BRwFAgTlBMMEowSIBHIEXQRIBDcEKQQdBA4D/APpA9YDwgOtA5YDgANtA1kDQQMkAwMC3gKzAoMCTwIeAfIBxwGVAVgBEADEAH8ATAAqABT/+v/T/6D/a/89/xP+6f69/pL+bv5M/iT98f21/Xz9S/0i/P782vyy/IT8Ufwd++z7wfua+3D7RPsY+u/6xvqZ+mb6NPoG+d35s/mD+U35F/jl+Ln4kvht+ET4FPfd96T3cPc/9xD23vas9n/2WPYy9gX11PWl9X31WfU09Q/06/TO9LT0l/R29FT0OPQe9AHz2/Ov84XzYPNA8yPzCfLy8tjysfJ68jjx+vHL8arxi/Fh8THxCfD48PvxAvD78ODwvvCl8JrwlPCI8HHwWPBJ8ErwVPBb8FXwQvAs8CLwLPBF8FrwXfBK8C7wF/AL8AfwBvAJ8BbwLfBG8FvwbPCA8JzwwfDr8RjxR/F08Zvxt/HH8czxy/HC8bDxlvF18VXxO/Et8SzxM/E58TnxNPEy8TnxSfFf8XjxkPGl8bXxwvHP8eDx9vIN8iHyL/I78kfyUvJd8mzyg/Kj8sby5vL98xHzLPNS84Dzq/PO8+j0APQb9Dn0U/Rm9Hj0jvSu9Nb0//Ut9WX1rvYA9k32ifa49uX3Hfdg96f35/gi+GD4rfkV+aD6S/sH+7r8UPzF/SP9df2//fr+JP5G/mz+m/7I/ur/Av8g/1D/jf/J//kAIgBRAIsAyQEAASkBSwFvAZoByAH2AiICTgJ6AqMCzAL1Ax8DRgNqA40DtgPrBCgEZQSaBMkE/wVNBb0GRwbPBzUHaQdxB2EHSgcmBuQGcQXPBRUEZwPmA6QDnwPFA/gEJARGBGUEhgSnBMIE2QTzBRYFPAVbBW0FeAWGBZgFqgW3BcAFzQXcBeYF5wXlBegF9gYFBgwGDAYSBi4GZQatBvUHLgdQB2AHawd9B54Hygf6CCkIVAh/CKcIzgjzCRwJTwmLCcYJ8woHCgMJ7wncCdcJ6AoLCjYKXgqACp0KtwrQCugLBgssC1gLgAuZC6ILpwuxC8QL3Av3DBcMQgx9DMINCQ1LDYcNwg3/Dj8OeA6eDqwOpA6TDoUOeQ5lDkEOEg3pDdINyw3GDbANgg05DNcMYwvlC2YK5ApMCYoImQedBtUGewagByAHvQhHCK8I/wlACXQJlQmhCaEJnAmTCYAJXwkyCP4IxgiNCFgILQgMB+8HzAelB38HXQc4BwsG1gatBqAGrwbGBscGogZcBg4FzgWnBZYFjwWEBXAFUwUuBQIEzwSZBG0EVQROBEYEKwP6A8MDmwOIA3oDYAM2AwcC4wLLArcCnQJ8AlsCPwIpAhQB/QHiAcUBqwGVAYMBcQFaAToBEwDsAMwAtgCoAJsAiQBzAFoAPgAe//z/3f/D/7L/p/+d/5H/gf9r/1L/OP8h/w3++/7o/tX+xP64/rH+q/6k/pn+i/57/mb+Tv4z/hv+A/3r/dH9tv2f/Yz9gP13/W79ZP1a/U79Qf0y/SH9Dvz4/OP8z/y+/K78n/yT/Ij8f/x3/G78Zfxe/Fr8V/xV/FL8TvxK/ET8Ovwv/CX8Hvwa/BT8DPwC+/j77fvg+9H7xfu++7n7svup+537lPuO+4z7jPuP+5T7mfub+5n7lfuS+5P7lvuZ+537oPuh+6H7n/ub+5j7lPuS+4/7jfuK+4j7hfuF+4f7ifuM+477k/ua+6D7o/ul+6z7ufvF+8H7q/uN+3r7efuE+4r7hft++3z7gPt/+3H7WftE+zn7Ofs/+0b7SftF+zz7NPs1+0L7U/ta+1f7U/tZ+2j7cvtp+1P7Q/tI+2D7fPuM+4/7jfuR+537rfu4+737v/vA+8T7yvvP+9X72/vj++379/wA/An8E/wb/CH8Jvwq/DD8Nvw4/Dn8Ovw//En8U/xc/GP8avxx/HX8ePx+/Ir8nfyv/Lv8vvzB/Mn82fzs/P39Cv0X/ST9Mf09/Uv9W/1u/YD9jP2U/Zz9pv2y/b79yP3R/d396P3w/fP99P33/gD+Df4a/iT+Lv45/kX+Uf5a/mT+cf6C/pX+p/61/sD+yf7P/tL+0v7S/tX+2/7g/uP+5/7t/vb+//8E/wX/B/8M/xT/Hf8m/zD/QP9U/2n/ev+G/4//m/+r/7//1//zABEALQBJAGYAiQCwANUA9AESATMBWgGCAaUBwwHiAgICJAJEAmMChAKnAsYC3wL1Aw0DKwNMA2kDhwOpA9ED+AQZBDYEWAR+BJ4EsQS3BL4ExgS/BJAELwO0A1YDSgOwBIAFkQajB3kH8QgTCAwIFQhdCO8JsApmCtYK5QqkCk8KGwodCjoKRQobCbcJLQieCCsH5AfHB70HrAeLB2MHQwcxByQHGAcNBwoHDQcKBv0G7gbpBvIG/gcABvUG4QbPBsAGtQasBqcGpAakBqkGtwbMBt0G4gbYBscGtQagBn0GSgYNBdAFkwVWBR4E9gTgBNIEtgSEBEQEBwPUA6UDdANGAyIDBgLfAqACSQHtAZ0BWgEWAMYAbAAT/8T/gf9H/xD+2/6r/oH+X/5D/iv+Fv4C/fD94P3U/cv9xP2//br9tP2s/aH9k/2E/XX9af1i/V39Vv1M/T/9M/0r/Sf9I/0f/Rz9Hv0m/TP9Qf1O/Vf9XP1c/Vr9XP1j/XD9gv2W/a79yf3n/gb+Jv5E/l/+eP6R/q3+zf7z/xz/Sv98/7D/4QALAC4ATgBwAJgAxQD2ASgBVQF8AZ4BwAHrAiACWQKMArcC3gMGAy8DVANzA40DqAPIA+wEFAQ8BGQEjQS1BNwE/wUeBTgFTgVlBYAFogXFBeQF/gYWBi8GSgZmBoIGnAa1Bs4G5Ab2BwMHDQcZBykHPQdRB14HZgdsB3gHiAeUB5QHiAd6B3IHcwd5B38HgweEB4UHhAeBB3cHaQdYB0oHQgc/BzsHMQcjBxYHDQcEBvkG7gbpBu0G8AbqBt0G1AbWBt4G3QbRBsQGwAbCBr0GqgaUBo0GmQaqBrMGtQa7BskG1QbUBsUGtwa3BsQG0QbSBscGtQakBpkGmgalBrMGuAayBqYGoAalBqEGpwawBsMG3wb6BwsHFQcfBy0HOwdCB0YHTQdbB20HgAeSB6gHwgfcB/EIAggWCDEITQhkCHgIkAiuCMwI4wjwCP0JEQknCTkJQwlMCVwJcgmICZkJqAm5CcsJ2QngCeMJ6QnzCfoJ+gn1CfEJ9Qn+CggKEAoWCh4KKgo8ClIKaAp5CoQKjwqiCsQK7QsMCxgLFwsdCzsLcAurC9wL+wwNDBoMJQwqDCoMJgwfDAkL1wuGCygK3gq+CsYK2wrgCtAKuQqyCsAK2grvCvcK8wrtCukK6ArsCvAK9Qr4CvoK/gsFCwsLCgsACvIK5QreCtwK3ArdCuUK9wsWCz4LZwuIC50LqQuxC7sLyAvUC98L5gvlC9YLtAuAC0ELAQrICpsKegpoCmEKYgpoCnEKfQqMCpkKowqrCrYKyArcCuwK9Ar2CvoLAwsRCycLRQtsC5kLyAv6DDIMcwy2DPANGA0xDUcNXg1zDX0NfA17DYINjQ2LDXYNWw1ODVcNZg1pDWANWw1lDXYNeg1vDWUNbQ19DX4NaQ1VDV0Nfg2VDYANRA0KDPQM/Q0KDQgM+gzsDNcMrAxrDCgL+gvgC8ILjQtFCwEKzgqmCn0KTwokCf4J1gmoCXkJVwlICUUJQAk5CTUJOAk9CTsJNAkuCTAJNQk4CTgJOAk8CT8JOgkuCR8JEwkICPgI4gjLCLYIoAiHCGkISgguCBIH8gfPB6oHiAdoB0oHLAcPBvIG1ga3BpgGewZfBkIGIQYABeMFygWyBZYFeQVdBUQFKgUKBOgEygSyBJ0EhwRzBGMEWARNBDwEJQQPA/4D8APhA84DugOmA5QDfwNmA0YDHwLwArwCiQJcAjMCBwHNAYMBMQDkAKcAfQBiAEoAKf/8/8n/mv9x/0r/If71/sz+qP6D/lX+HP3f/az9hP1i/T39FPzn/Lj8hvxS/CL7+PvT+637g/tW+yv7AfrU+qH6bPo8+hP56/m/+Y35Wfkn+Pv40vip+H34S/gV9933qPd390f3Ffbk9rj2kPZp9jz2C/Xa9a/1h/Vg9Tn1F/T69OH0xfSj9ID0YfRE9CXz//PV86zziPNm80bzK/MV8wPy6vLC8ozyU/Ih8fvx2PGw8YbxX/FC8S3xGvED8Ozw3PDX8Nfw0fC+8J/wf/Bp8GTwb/B/8Ibwe/Bj8E7wS/Bb8G7wcfBd8D7wJPAX8BfwG/Ai8C3wO/BJ8FPwXfBq8H3wk/Cp8MHw3PD68RXxJvEv8TPxNPEz8SzxIPES8QXw/PD38Pbw9/D38PXw8/Dz8PrxCvEj8UPxZfGE8ZvxqvG28cXx2vHx8gfyGfIq8jryTPJg8njyl/K88uLzAfMW8ybzOvNY84DzqfPN8+j0APQa9Db0UvRq9H/0l/S09NP07/UL9S71YPWd9dr2CfYs9lH2h/bP9x73aPej99X4C/hV+Mf5avo1+w37zvxj/M39G/1d/Zf9yf30/hz+Q/5p/or+rv7c/xn/XP+X/8T/7QAfAF4AoQDcAQkBLwFWAX8BpwHNAfUCIgJSAn8CpgLKAu8DFwNAA2YDiwO3A+wEKQRmBJ4E1wUjBZMGIga1ByEHTgdDBx4G+QbOBoAF9wU5BG4DxgNkA0kDYgOSA8AD4wP+BBoEOQRZBHcElgS5BOAFAwUYBSQFMgVKBWUFdgV3BXQFegWPBaYFswW0BbMFuAW/BcIFwgXMBe0GJgZrBqsG2wb6Bw0HHQcxB04HdAegB8wH9ggeCEgIdgioCN0JFglPCYQJrwnLCdUJ0QnGCcEJyQnfCf0KHgpBCmgKkgq3CtIK5Ar2CxALMAtMC1wLZAttC34LmAu2C9QL9gwgDFQMjgzJDQcNSw2VDd8OHg5IDlsOXw5dDlsOUw48DhEN2A2gDXYNXA1FDR4M2AxvC/ELdQsMCrQKVQnOCQwIIwdJBr0GpAbyB3cH/whrCL0JAAk6CWUJfAl+CXYJaglbCUIJHgjvCLwIhghQCB0H8wfTB7gHnAd4B04HJAb8BtMGpwZ8BloGSgZNBlgGWAY7BgMFvwWKBXEFbQVpBVcFNwUTBO4EwwSRBGAEQQQ2BC8EFgPlA6wDggNwA2cDUwMrAvsC0gK2AqICjQJ0AlkCQAIpAhIB+gHfAcEBogGGAXMBZgFWAToBEQDkAMEArACgAJQAgABnAE0AMgAV//T/0/+2/6H/lf+O/4b/ev9l/0n/LP8S/v7+7P7b/sn+uP6q/qD+lv6L/n7+cv5k/lL+PP4i/gn98/3c/cP9p/2M/Xj9a/1k/V79Vv1J/Tv9Lf0f/RH9Afzu/Nn8xfyz/KH8kPyB/Hb8b/xo/GD8WPxR/E78TfxM/En8RvxC/Dz8Mvwn/B78G/wb/Bn8EvwJ+/778/vl+9f7y/vC+7v7svum+5j7i/uD+3z7ePt4+377ivuV+5z7nPuZ+5X7lfuX+5v7nvuf+5z7lvuQ+4z7ifuI+4f7hfuB+377fPt9+4D7hPuI+4z7k/uY+5f7jvuJ+5P7rvvK+9D7tfuJ+2v7aPt3+4P7gPt1+3H7dvt7+3f7aftZ+077SPtE+0H7Pvs8+zn7N/s7+0b7UvtY+1T7TvtP+1n7X/tW+0P7Nvs9+1f7dvuN+5f7nPul+7L7wPvI+8j7xPvB+8H7x/vP+9f73vvl++379vwB/Ar8E/wa/B/8JPwo/C38Mfwz/DP8NPw5/ED8SvxV/GD8bPx1/Hv8ffyC/I78ofy0/MD8xvzL/NX85Pzy/Pz9BP0L/RX9Hv0m/S/9PP1M/Vz9aP1w/Xn9hv2W/aX9sP25/cX91P3k/fH9+v4B/gn+E/4c/ib+L/44/kP+Tf5Y/mT+cv6C/pT+pf60/sH+yf7O/tD+0f7T/tf+2v7b/tz+3/7j/ur+8f72/vr/AP8K/xX/IP8r/zb/Rf9X/2n/d/+B/4z/mf+p/73/1P/vAAoAJgBDAGQAiQCwANQA8wEPAS8BUwF5AZ4BwgHmAggCJQI/AlgCdgKYArkC1QLvAwoDKgNMA2sDiwOuA9QD9gQTBC4ETgRzBJIEowSqBK8EsQScBFsD8gOIA1UDiQQuBSoGQwc+B+cIMAguCBcIJAh1CQUJrwpBCpcKqAqICl0KQwo+CjsKHwnaCW4I7QhvCA0H0ge4B60HmAd1B04HMQciBxkHDAb8BvEG7QbsBucG4gbhBugG7wbvBucG2QbLBr0GrwajBpoGlQaSBpQGnAapBrYGuwa4BrQGsAaoBpEGaAYzBfkFugV3BTME+gTTBLgEmARrBDMD+wPIA5UDYQMsAvsCygKOAkEB6wGdAV8BKADnAJYAO//p/6b/bv86/wb+1f6t/o3+cv5W/jz+Jf4S/gL98v3i/dX9zv3K/cb9vv20/ar9oP2V/Yb9eP1t/Wb9YP1V/Ub9OP0w/S79Lf0p/ST9JP0r/Tf9Rf1Q/Vb9Wv1c/V39YP1o/XX9hv2a/a39w/3e/f7+If5D/mL+f/6d/r/+5P8J/yz/Uv9//7P/6QAaAEEAYQB/AJ8AxgDxASABTwF6AaIBywH5AiwCXgKLArUC3wMOAz4DagOQA7AD0APvBA8EMARRBHYEnQTEBOoFDwUwBU4FZwV+BZcFtgXXBfcGEgYrBkUGYgZ+BpkGsAbIBuAG9wcLBxkHIwcwB0AHVAdpB3oHiAeXB6kHugfDB78HswemB58HngegB6EHogeiB6MHogedB5QHiAd7B3AHagdkB10HUQdEBzoHMQcmBxYHCQcGBwwHEgcOBwIG+gb8BwIHAAb1BusG7Qb0Bu8G2Aa6BqgGqQayBrUGsAaxBsAG1gbjBuIG3AbZBtsG2AbMBrUGmwaHBn4GhAaUBqQGqgakBpsGlgaaBpEGnAaqBr4G1gbsBvkHAAcIBxMHHgckByoHNgdLB2YHfweVB64HyQfjB/cICAgcCDgIVQhuCIQInwjCCOUI/AkFCQsJFgknCTYJPwlHCVcJbwmECZIJnQmrCb8J0QnZCdoJ3AnmCfMJ+wn6CfcJ+QoEChIKGwofCiAKJwo1CkkKXgptCnMKdgqACpgKuwrbCu0K8gr5Cw4LNQtmC5cLxAvxDB4MQwxUDEwMMQwQC+sLvQuCC0QLGAsPCyMLNws1CxkK9wrmCusK+wsHCwwLDgsUCxwLIQsgCxwLGQsZCxsLIAskCygLJQscCxALBwsFCwgLCwsNCxMLJAtDC2sLkAurC7sLxgvOC9gL4gvsC/YL/gv+C+0LxQuNC00LEwrhCrgKmQqGCoIKiQqWCqUKtQrECtEK2grkCvQLCgskCzgLQQtDC0QLSgtVC2ULfQugC80L/QwvDGYMpAznDSQNUA1sDYMNnA21DcMNwg29Db0Nwg29DaoNlA2NDZkNqQ2rDaUNqA29DdUN3A3QDccN0g3mDeoN0w28DcIN4g32DdoNlQ1TDTQNMw0xDRwM/QzlDNEMrwx4DDoMDQvwC88LlwtPCw4K3wq7CpMKYwo1CgsJ4wm2CYwJcAlnCWcJYglXCU4JTAlOCUwJRglCCUYJTQlQCU4JSwlNCVAJTglFCToJMgkpCRwJBwjuCNUIvQiiCIQIZghMCDIIFAfyB84HrQePB3EHUwc0BxgG/AbeBsAGoAaBBmIGQgYkBgkF8AXWBboFngWEBWsFTwUuBQ0E8QTcBMgEtAShBJIEiAR7BGYETQQ2BCkEIQQXBAcD8wPgA84DuwOiA4IDWgMpAvUCxAKaAnECPwH6AacBUQEJANYAtQCaAHsAUgAi//L/yP+l/4H/WP8s/wP+3f61/oP+Sf4S/ej9yP2n/X/9T/0c/Oz8u/yK/Fn8MPwL++b7u/uM+177M/sG+tT6oPpu+kL6Gvnw+cL5k/lm+Tv5D/jh+K/4fPhJ+Bb34/ey94L3Ufcj9vf2z/am9nj2R/YW9er1wvWc9Xb1UvUy9RX09vTV9LT0lfR29FL0KPP889TzsfOR83HzUPM08x7zCPLs8sfynvJ38lXyNPIR8e3xxvGf8XTxSvEp8RjxGvEl8SrxIPEF8OPwv/Cj8JfwnvC38NHw2fDH8Kbwi/CB8ITwg/B08FrwQvA08DLwN/BA8ErwUvBY8F3waPB58I3wnfCn8LDwvfDQ8ODw5/Do8Ojw7fD08Pnw+fD28PLw7fDl8NrwzvDH8Mfwz/Dc8O7xA/Ee8T3xXvF98ZXxp/G38cjx3vH28g3yIvI28kryX/J38pTytfLZ8vvzFfMn8zTzQ/Nd84DzqPPO8+70CfQi9Dz0VvRu9IX0oPS/9N/0/PUS9Sn1SfVy9Zv1u/XT9fH2IfZn9rv3DPdQ94T3r/fg+C/4sPlm+jz7Dfu5/Dj8l/zo/TL9df2t/dn9/f4d/j/+a/6l/uv/MP9p/5X/v//zADQAeACzAOQBEQE+AWcBiwGqAdAB/wI0AmMCiAKkAsQC7AMZA0QDaQOOA70D/QRGBI8E1AUeBYEF/gZ9BtoG+gblBrwGlAZkBgoFbgSiA9YDQQL+AwADKQNZA4IDowO/A9oD9QQRBDAEVgSABKYEwATPBOAFAQUzBWEFcgViBUQFNgVDBV4FcwV3BXIFbgVwBXUFfQWOBbAF4wYbBk0GdAaUBrEGzgbtBw8HMwdZB30Hnge/B+YIFwhSCJQI1AkOCT0JYgl+CZAJmgmeCaEJqgm6CdAJ5woBCiIKTgp8CqMKvwrVCu4LDgsrCzsLOws3CzwLTgtoC4ULowvFC+0MHAxQDI0M1g0oDXYNtQ3fDfgOCQ4XDh0OFA31DcINhA1GDQ8M3gyqDGEL+gt4CvMKiQpGChgJ1QlVCJcHxgcjBt4G/wdjB9oIQgiRCNEJCgk6CVoJZwliCVIJPAkgCP0I1AinCHcIRQgSB+EHuAeYB38HZQdDBxYG5Qa8Bp4GhAZhBjIGBAXuBfsGFwYcBfMFpwVgBT4FPQVDBTQFEQTqBMoErASFBFoENwQnBBwEAgPQA5YDawNYA1EDPwMbAu0CxAKnApECfQJoAlMCPwIrAhYB/wHlAcQBnwF+AWkBXwFVAT4BFQDlAL0ApACXAIoAdwBcAEAAJQAK/+3/zv+x/5r/iv+C/3v/b/9a/z3/IP8H/vP+4f7M/rb+oP6P/oL+dv5q/l7+Uv5G/jX+If4L/fb94/3O/bX9mf1+/Wn9XP1U/U79Rf04/Sj9Gf0L/P387vzc/Mr8ufyp/Jj8hvx1/Gn8Yfxa/FL8SvxE/EP8RPxE/EH8Pfw5/DP8Kvwf/Bf8FfwW/Bb8EvwK/AL7+vvw++P71/vL+8D7tPul+5T7h/t8+3X7b/tr+277dvuC+4v7jvuM+4j7hPuD+4X7h/uH+4X7gft9+3z7fft++337e/t3+3P7cvtz+3b7eft++4b7j/uU+477gPt1+337nPu9+8b7rfuB+2L7X/ty+4P7hvuA+337fvt9+3T7Zvta+1P7TPtD+zn7NPs3+zv7PftA+0f7UftW+1L7SvtG+0r7T/tM+0L7Ovs/+1H7avuA+5D7nfuq+7f7wvvJ+8z7yvvI+8j7zPvT+9z75Pvr+/L7+/wF/A38E/wY/B38Ivwn/Cv8Lvwu/C/8MPwz/Dj8P/xI/FX8Yvxt/HT8d/x9/Ir8nfyy/ML8zfzX/OX88vz8/QD9Av0G/Q39Fv0f/Sj9M/1B/U/9Wf1h/Wn9df2E/ZH9mv2h/av9uf3N/eP99/4H/hP+HP4l/i7+Ov5F/lH+Xf5r/nz+jP6a/qf+tP7A/sr+0P7T/tb+2v7f/uL+4P7e/t3+3/7l/uv+7/7z/vn/A/8P/xz/Kf80/0D/Tv9c/2v/ef+G/5P/ov+0/8j/3v/2ABAAKgBGAGUAiQCuANAA8AEOAS0BTgFxAZUBuQHeAgACHQI0AksCZgKFAqQCwQLcAvwDHwNEA2YDiAOqA8wD6gQGBCQESQRvBI0EnAShBKIEmwR2BCgDwQNxA3ED3wSxBbwGxAeWCBMIOgguCCIIQgigCSkJuQosCm4Kggp4CmUKUgo7ChMJzgluCPwIiQglB9sHrwecB5EHfwdgBz4HJQcbBxcHCwb2BuAG0wbRBtYG2gbbBtkG1QbPBsoGxQa/BrYGqwafBpgGlAaRBo4GjAaMBowGiQaDBn4GfAZ3BmsGVQY3BhEF3gWaBUgE9wS1BIcEYwQ/BBcD7AO/A40DUwMTAtICjwJFAfUBpwFjASsA8wCvAF0ACv/C/4v/XP8t/vz+0P6w/pj+gf5m/kj+Lv4c/g/+Af3y/eX93f3Z/dP9xv24/a39pv2e/ZL9gv10/W39aP1e/U/9P/01/TP9Mv0v/Sv9LP01/UH9TP1T/Vb9Wf1d/WH9Zf1s/Xn9iv2d/a/9xP3d/f7+Iv5G/mf+hf6n/s3+9v8d/0D/Yv+L/7r/7gAfAEoAbwCRALEA0gD1ARkBQAFpAZYBxwH8AjACXgKGAqwC2AMMA0MDdgOgA8QD5gQIBCoESQRpBIsErgTUBPkFHQU/BV8FewWVBa4FygXpBgYGIQY8BlcGcwaNBqMGtwbMBuIG+QcMBxwHLAc/B1YHbQeBB5MHpge+B9YH6AftB+cH2wfRB8sHyAfEB8AHvQe8B7wHuwe4B7MHrAeiB5gHjgeEB3kHbgdlB18HWgdSB0UHOAcyBzQHNQcwByYHIAcgByAHGAcJBwEHCgcaBx4HCwbrBtEGyQbLBswGyQbJBtAG2gbfBtwG1QbMBsIGswadBoUGbwZeBlUGWQZrBoAGjgaOBoYGggaGBosGnAaqBrcGxgbWBuIG6gbyBvsHAwcJBxIHJQdCB2IHfgeXB7AHzQfoB/4IEAgmCEIIYAh8CJYIswjXCPgJDAkSCRQJGwkmCTAJNgk9CU4JZwl9CYoJkgmdCbAJwwnOCdAJ0wneCe4J+woACgAKBAoPChwKJQooCigKKQovCjkKRwpVCmEKawp1CoMKmQq0CsoK1wrcCuEK8AsQC0ILhAvPDBcMSgxVDDYL/gvIC6QLkAt+C2YLTgtDC0YLSQs9CyILCQsBCw4LJAs3C0QLUQtfC2gLZQtYC0gLPQs6CzoLOws9Cz4LPQs3CzALLQswCzYLOws/C0gLXAt6C5kLsAu7C8ILywvZC+kL9Qv+DAYMCwwIC/ILxwuPC1cLKAsACtwKvQqqCqgKtArICtwK7Qr7CwkLFQsiCzULTwtrC4ALiwuOC5ALlgufC6wLvwvdDAcMNgxlDJgM1A0aDV4Nkw22DdAN6Q3/DgkOAg31De4N7Q3rDeAN1Q3XDeYN8w30DfEN/g4fDkIOTg5DDjgOQg5VDlcOPg4iDiEOOA5EDiUN5Q2sDZMNjQ13DUQNCAzgDMwMtwyNDFUMIwv8C9ILmwtcCycLAgrgCrMKegpCChYJ8AnLCagJkQmKCYoJhQl3CWgJYAldCVgJUQlPCVUJXwliCV4JWAlYCVwJXglbCVUJTwlICTkJIwkICO4I1Qi5CJsIfwhmCE8INAgUB/MH0we3B5kHeQdZBzwHIQcGBugGyAanBocGaAZLBjAGFQX5Bd4FxAWsBZIFdQVTBTMFGQUGBPQE4ATNBL4EsgSiBI0EdARiBFgEUwRJBDkEJQQTBAID7wPWA7YDjwNhAzADAALSAqACYwIWAcABcgE2AQ8A8gDTAKoAegBKAB//+v/Z/7X/jf9i/zn/Ef7l/rL+fP5N/ir+Dv3s/b79if1U/SP89PzD/JP8afxE/B378Pu/+4/7Y/s3+wj61vql+nj6Tfoh+fL5xfmb+XP5R/kW+OP4sfiB+FL4Ivfw97/3j/dh9zb3DPbi9rT2hPZU9ij2APXc9bj1lPVv9Uv1KPUG9Of0y/Ss9If0WvQr9ADz3fO/86DzffNb8z3zIvMH8uvyzfKw8pTyd/Jb8j7yIPH88dLxpvGG8XrxgPGJ8YXxcPFQ8SzxCfDp8NTw1vDx8RbxLPEe8PTwwvCh8JbwlPCP8IDwbfBe8FjwXPBm8HHwd/B48Hnwg/CX8K/wwPDG8Mnwz/DY8N7w2vDQ8MnwzPDX8OPw6fDq8Onw5fDb8Mzwv/C68MPw1/Dy8Q3xKPFC8Vvxc/GJ8Z7xsfHH8d7x9/IP8ifyPfJS8mbye/KT8rDy0vL28xXzLPM780fzWPNz85fzv/Pn9Aj0JPQ+9Ff0cfSI9J/0ufTY9Pv1G/U09Uj1YPV99Zz1tvXL9eT2DfZJ9pT24/cs92f3k/e39+f4Ovi9+Wn6IvrN+1772fxL/Lj9Gf1o/aL9yv3o/gf+Mf5r/rH+9/8z/2T/lP/OABAAUgCNAMIA9QEmAVIBdAGRAbQB4gIWAkYCaQKDAp8CxgL1AyQDTANzA6YD7gRJBKYE+AU+BYcF2wYxBnAGggZvBkwGJgXuBYQE2gQJA0wC1AKwAsYC8QMaAz0DXgOBA6IDvQPVA/IEGQREBGYEegSFBJ8E1wUlBWcFfAVdBSUE/gT8BRMFKQUvBSgFIgUkBS0FOQVLBWcFjwW8BeYGDAYuBlIGeQajBs0G9AcXBzQHTgdqB40HvQf5CD0Iggi+CO0JDwkoCT8JUwllCXYJigmhCboJzQncCewKBgouClkKgQqkCscK7AsLCxwLGQsNCwYLCwscCzILTQttC5MLvgvtDCYMbQy+DQwNTA14DZkNtQ3MDdMNwg2ZDWENJAzkDJ4MTgvsC3YK7QphCe0JqwmXCY4JXAjiCDQHjAcrByoHdQfeCDwIhAi8CO0JGQk6CUwJUAlICTQJFAjqCLwIjQhfCDAIAAfPB6EHeQdZBz8HJgcEBtcGpgZ/Bm0GZQZRBiIF5QXABcoF8gYGBd4FhQUsBQEFBwUYBRAE6gS+BKEEjgR1BFIEMAQZBAgD6AO0A3kDTgM9AzYDJgMEAtgCswKXAoMCbwJaAkUCMwIiAhICAgHrAcwBpAF+AWQBWAFRAUABHgDxAMYApgCSAIAAbABSADcAGwAB/+j/zf+y/5r/h/97/3H/Yv9M/y//Ev78/uv+2f7A/qP+h/5w/mD+U/5H/jv+MP4k/hT+A/3x/eD90f2+/aj9kP15/Wb9V/1L/UD9M/0l/Rf9Cfz9/O/83/zM/Lr8q/ye/I78ffxs/F/8VvxP/Eb8Pfw3/Df8Ofw5/DX8Mfwu/Cr8IvwX/A38CPwI/Af8A/v9+/j79fvy++r73vvR+8P7tPuj+5L7hPt7+3T7bvto+2X7Zvtq+2/7c/t0+3T7cvtw+277bvtu+2/7b/tw+3L7dft2+3X7cftt+2r7aftq+237cPt2+377ifuQ+477gPtz+3P7hPub+6L7kft0+2H7Y/tz+4L7ifuM+477jfuC+237WPtN+0r7SPs/+zT7Lvsy+zf7Ofs5+z37R/tQ+1D7SftC+0H7RvtK+0r7SftL+1P7YPtv+377jPuZ+6P7rPu1+7/7yvvR+9X72Pvc++L76vvy+/v8A/wL/BD8E/wX/Bz8Ivwn/Cv8LPws/C38Lvww/DH8Nfw8/Ej8Vvxi/Gr8b/x2/IP8lPyn/Lb8xPzR/N/86/zy/PT89vz8/Qn9GP0n/TT9Qf1P/Vv9Zv1v/Xf9gf2M/ZX9nf2k/av9tf3G/d/9+v4R/iH+Kv4x/jz+Sv5Z/mf+dv6H/pr+rP65/sP+y/7S/tf+2f7a/t7+5f7s/u3+6v7l/uX+6v7x/vb++P76/wD/Cf8V/yH/Lf84/0T/UP9f/3D/g/+V/6b/tv/H/9r/8QAKACIAOQBSAG0AiwCrAMwA7QENAS0BTQFsAYwBrwHSAfMCEAIqAkQCYQJ9ApgCsgLPAvEDFgM6A1wDewObA7sD2AP3BBsERQRsBIYEkASSBJEEgQRQA/sDngNuA5wENwUiBioHFge9CBEIIggXCCEIXQjJCU4JygomClkKagphCkoKKQn9Cb8JagkECJsIOgfoB6oHggdtB2MHWAdCBycHEgcLBwoHAgbtBtMGwQa+BscGzgbKBr0GrQajBqEGpQapBqkGowadBpsGmwabBpgGkAaGBnkGaQZXBkYGOAYtBiUGHAYTBgIF4AWjBUwE7ASVBFQEKwQPA/YD2gO2A4QDQwL1AqMCUQIEAbwBeQE7AP4AvABzACX/3v+i/3P/Sf8d/vH+zP6z/qD+i/5w/lH+N/4m/hv+D/4B/fT97P3n/d790P2//bP9rP2m/Zr9if16/XH9bP1j/VX9Rf05/TX9NP0y/TD9NP09/Un9UP1U/Vb9W/1i/Wf9a/1x/Xv9i/2d/bD9xv3h/gL+Jv5I/mj+iP6s/tX/AP8q/1D/dP+a/8L/7AAWAEEAbgCbAMUA6wEKASYBQwFmAZEBxAH7AjACXQKDAqgC0wMGAzwDbQOWA7kD3gQFBC0EUgR0BJYEugTfBQQFKAVKBWoFiAWlBcEF3gX8BhgGMgZLBmQGegaPBqAGswbHBt8G9gcJBxwHMgdNB2sHhAeXB6cHuwfWB/IIBQgKCAMH+QfyB+0H6AfhB9sH2AfYB9gH2AfVB9IHywfBB7QHpwefB5kHlAeNB4UHfgd3B28HZwdhB1wHVwdQB0kHRQdDBz0HLgcdBxUHHwcwBzgHKgcOBvQG5wbnBu4G9Ab2BvQG6wbdBs4Gwga0Bp4GggZnBlYGTQZEBjoGNgY/BlUGagZzBnIGcQZ6Bo8GoQaqBq0GtAbCBtEG3gbnBu0G8wb6BwYHHAc7B10HeweVB68HzQfrCAQIGggvCEoIaQiHCKUIwwjiCP0JDQkTCRYJHQkmCSwJLQkxCUAJWQlyCYIJigmTCaIJswnACcYJzAnXCecJ9woDCgwKFwoiCiwKMgo2CjgKOgo6CjcKNwpCClUKawp5CoEKiwqcCrMKwwrFCrwKtwrKCvwLRwuaC98MAgv3C8YLiAteC1kLcQuKC4wLcwtQCzQLIgsXCw8LEAshCz8LYQt7C44LngupC6sLnwuKC3ULZQtdC1oLWAtZC1wLXwteC1kLVgtWC1kLXQtkC3QLjQurC8ALxwvDC78LxwvaC+8L/wwJDBAMEwwLC/ELxguTC2YLQQsiCwQK6ArXCtcK5gr7Cw4LHgstCz0LTwtiC3oLlQuxC8UL0AvUC9kL4gvuC/oMCwwmDEwMeAykDNQNDg1UDZsN1g3+DhkOLg49DkEONw4nDh4OHQ4fDh0OHQ4mDjcORA5HDkwOYw6ODrUOwQ6zDqYOqw67DrkOng59DnIOew54DlMOGQ3vDeUN4w3CDXgNJAzrDNUMxgyjDGwMMgwBC9MLogtwC0cLJgr/CscKgwpFChkJ/AnhCcYJswmsCasJpAmUCYMJdwlwCWgJYQlfCWYJbglxCW0JZgllCWgJbQltCWoJZQlaCUkJMgkZCQII6wjQCLMImAiBCG0IVgg7CBwH/wfjB8YHpgeEB2YHSgcvBxEG8QbRBrEGkwZ0BlcGOQYcBgIF6gXTBbkFmwV6BVwFRQUyBR8FCwT3BOUE1gTEBLAEnQSQBIoEggR0BGEEUARDBDYEJAQKA+oDxgOeA28DOQL/Ar0CcwIiAdQBlgFsAU8BMQEJANkAqAB8AFYAMgAP/+n/wf+Y/27/RP8W/ub+t/6P/m7+UP4q/fr9xP2P/V79Lvz+/ND8pvx//Fb8J/v1+8T7mftu+0D7D/rg+rX6i/pd+iz5/PnR+an5f/lR+SD48PjB+JL4Yfgu9/z3zPed92/3QvcW9un2u/aL9l32NPYP9ez1yPWj9X31V/U09RT09/TY9LT0ifRc9DL0D/Pw89LzsfON82vzSvMq8wry7PLQ8rbynPKF8nDyXfJH8i3yEfH88fHx7fHl8dDxsfGQ8XHxU/E18RvxFfEn8UXxVfFD8RTw3/C88LLwt/C78LTwpPCT8IjwiPCS8J/wpvCl8KLwp/C38M7w3/Dn8Onw7PDv8Orw2/DG8LnwufDF8NPw3PDg8OLw4fDe8Nnw2PDg8PPxDfEo8UPxW/Fy8Ybxl/Gm8bbxyvHk8f/yGvIx8kfyXfJy8obymfKv8svy7vMT8zLzSPNW82PzePOY877z5/QL9Cf0QPRY9HT0kfSs9MT02/T49Rn1OfVU9Wr1gfWd9bv12PXz9g72MvZi9p724Pcj92D3kfe199b4BvhW+Mr5U/nj+nD6+/uH/BH8kPz5/Un9gP2l/cT96f4e/mH+qf7r/yT/Xf+d/+QAKgBrAKYA3gEUAUIBZQGCAaMBzgH/Ai4CUwJuAokCqwLXAwcDNwNpA6kD/gRkBMsFHgVXBX8FpwXSBfYGBAX6BeMFwQWABQgEUgOEAtgCegJuApACuALWAu8DEAM7A2UDhAObA7QD2AQDBCUENwRCBF4EnATxBTkFUAUtBO8EvwS0BMcE3wToBOME3wTiBOwE+AUGBRoFOAVfBYgFrwXSBfUGHQZKBnsGqQbOBusHBQcjB0oHegexB+4ILQhnCJcIuQjTCOwJCAkmCUQJZgmLCa4JxwnRCdIJ2QnwChMKOgpeCoEKpQrHCt8K5wrkCt4K3ArhCuwK/wseC0YLcgufC9IMEgxeDK4M8Q0kDUoNaA19DX4NZg05DQMMyAyFDCwLtgsiCnsJ1AlICPII3Qj0CQYI4AhzB+QHdAdWB40H8QhRCJYIwwjnCQgJIQktCS8JLQklCREI6wi4CIAITQgfB/AHwAeRB2YHPwccBv0G4AbABpcGagZFBjUGNgYuBggFzgWlBawF1gXvBckFaQUDBM4E0ATkBN8EvQSWBH8EdgRmBEcEIgQFA+sDxgOOA1QDKwMcAxgDCQLnAr0CmAKAAm8CXwJKAjQCIAIQAgMB+QHqAdEBrQGGAWUBUwFJATwBIwD/ANUAsACSAHkAZABNADQAGgAA/+j/0P+3/53/h/92/2j/V/8+/yD/BP7w/uL+0/66/pv+e/5g/kr+Of4p/hz+D/4C/fP95P3V/cj9u/2t/Zv9iv16/Wr9Wv1I/TX9I/0T/Qf8/fzz/Of81vzB/K38nfyP/IH8cPxf/FP8S/xE/Dv8Mfwq/Cj8Kfwp/Cb8Ivwg/B78FvwK+/779/v0+/L77Pvm++P75Pvl++P72vvN+7/7sPug+5D7g/t5+3P7bftn+2H7W/tY+1f7Wvth+2f7a/tr+2n7Z/tm+2f7aftr+237b/tv+2z7Z/tj+2H7YPti+2f7bPty+3r7hPuN+4/7iPt8+3L7cft1+3f7c/ts+2r7bftx+3H7cPt1+377gftz+1n7Qvs6+z/7RPtA+zb7Lvss+yz7Kfsn+yv7OPtG+0v7Rvs9+zn7PftE+0v7T/tS+1b7W/tj+277e/uG+437kvuc+6z7wPvQ+9n73Pve++P76/v1/AD8CfwQ/BT8FvwY/B38I/wo/Cr8Kvwq/Cv8K/wr/Cv8Lvw0/D/8Tfxa/GT8bPx0/H78i/yX/KP8rvy5/MT8zvzU/Nr84fzv/QL9GP0t/T79TP1Y/WT9cf19/Yn9kv2a/aP9r/26/cT9zP3X/ev+Bv4h/jP+Ov4//kf+Vv5m/nX+g/6T/qb+uP7H/tH+2f7e/uD+3/7e/uH+6f7w/vL+7/7s/vD+9/7+/wH/Af8D/wj/Ef8a/yP/LP82/0H/Tf9d/3P/jP+k/7f/xf/U/+gAAQAcADQASQBfAHYAkACtAMwA7QEOAS0BSwFpAYgBqQHLAekCBgIjAkICYQJ8ApUCrgLMAu8DEgMyA04DawOJA6gDxwPpBBEEPARgBHMEeAR5BHcEYwQsA9YDhgN2A80EigWHBooHXQffCBAIDAgCCB8IcgjsCW0J2AofCkMKRQosCgEJzAmSCVIJCAizCFwICgfAB4AHUAczBykHIwcXBwIG7QbkBuUG4wbVBr8GrgasBrMGtwatBpgGggZ2BnYGfwaJBpAGkwaUBpcGmwafBp8GmgaNBnoGYQZGBioGEQX9Be8F5QXfBdUFvAWJBToE3ASABDgECAPrA9YDwAOdA2gDHQLAAl4CBAG8AYIBTwEWANMAiQA+//n/vv+M/1//Nf8N/un+y/61/qP+j/51/lr+Q/4z/if+G/4L/f398/3t/eX92P3K/b79tv2u/aH9kP1//XT9bP1j/VT9Rf05/TT9M/0y/TP9OP1B/Un9T/1R/Vb9Xf1l/W39cv15/YL9kP2f/bH9yf3l/gb+Jv5F/mT+h/6v/tz/Cf8z/1v/gf+m/8n/6wANADUAZACYAMwA+gEeAT0BWgF9AacB2QINAj4CZwKLAq8C1wMEAzIDXAOAA6QDzAP4BCUETwR1BJkEvgTkBQgFKwVLBWoFigWrBc0F7QYLBiYGPwZVBmkGewaKBpoGrwbJBuUG/gcUBykHQgdgB38HlweoB7YHyQfkCAEIFAgbCBcIEAgLCAYIAAf5B/UH9Qf4B/kH+Qf2B/EH6AfaB8sHxQfLB9YH2gfOB7YHnQeNB4cHhweGB4EHeQdyB24HbQdqB2EHUwdGB0EHRgdMB0oHOwckBxAHBgcHBw4HGAcbBxIG/wboBtkGzwbABqIGewZgBlwGZQZnBlYGPAYvBjkGTwZfBmUGagZ5BokGnAaiBqMGqQa5BswG2QbgBuUG6gb0BwMHGgc4B1sHeweYB7MH0AfvCAsIIgg3CE8IawiJCKYIwQjbCPEI/wkHCQ4JFwkfCSIJIAkhCS4JRQlgCXQJgAmKCZcJpgmyCbwJxQnRCeEJ9AoICh4KMAo7Cj4KOwo6Cj8KRgpHCkAKOgpBClcKcgqECokKiwqUCqYKtQq1CqYKmgqnCtELDwtJC24LcgtYCy8LEAsRCzsLeQupC64LhQtGCxIK+Qr5CwsLKQtOC3gLnQu3C8YLzwvTC9ELxwu2C6MLlAuJC4ILgAuFC40LkwuSC4oLfwt1C3ALcAt5C44LrQvLC9sL2gvPC8gLzgvgC/QMBQwSDBsMHgwUC/oL0QulC38LYQtFCykLEQsECwgLGAssCz0LTQtdC3ILiQuiC70L2gv3DAsMFwwdDCQMMAw+DE0MXgx3DJgMwAzqDRkNUA2TDdcODw41DkwOXQ5pDmwOZg5cDlcOWA5cDl8OZQ5zDogOmA6iDrAO0A77DxsPHg8KDvoO/w8MDwkO7Q7LDrsOtQ6gDmoOKA4BDf8OBg3qDZ4NQw0DDOcM1wy1DH0MQQwOC+MLuQuOC2YLPgsOCs0KhQpJCiMKDQn6CeYJ1QnMCccJvQmsCZkJjAmECX0Jdgl0CXgJfgmACXwJdglzCXUJeAl5CXYJbwljCVEJOwknCRUJAgjqCM0IswieCI4IfAhkCEgILggTB/cH2Ae3B5cHeQdaBzoHGQb5BtsGvQaeBn0GXgZBBigGEQX5Bd8FwQWjBYcFcAVcBUgFMgUdBQoE+ATlBNQExwTABLkErQSbBIkEfgR6BHMEYwRIBCgEBQPeA6sDawMgAtACfgIxAfIBxQGpAY4BawE7AQkA3QC5AJgAcwBLACL/+f/Q/6X/eP9L/x/++P7U/rH+jf5j/jP+AP3N/Zr9af05/Qz84/y7/JD8X/wu/AD71fup+3j7RvsY+vL6zfqi+nD6PPoM+eL5ufmO+WH5MvkC+NH4nfhq+Dn4CffZ96j3ePdK9x328PbB9pH2ZPY89hj19vXT9a/1i/Vm9UL1H/T99Nr0tPSM9Gb0Q/Qj9APz4vPA85/zffNa8zfzFfL38tzyxPKu8pryivJ98nHyZPJX8kryOPIg8gHx4PHG8bHxnvGI8XHxZfFm8W3xZvFK8SDw+vDp8Ozw9/D88PXw5PDR8MPwvvDE8M7w1fDV8NDw0PDY8Ofw9vEA8QfxDPEM8QLw7vDY8MrwyvDX8Obw8vD48Pvw/fEA8QjxGPEv8UjxX/Fx8YDxkPGj8bTxw/HP8d3x8fIL8ifyQPJV8mjyfPKS8qfyu/LP8unzCfMr80jzXPNr83rzk/O289/0BvQk9Dn0TPRj9IL0o/TC9Nz08/UN9Sr1SPVj9Xv1lPWy9dT19/YZ9jr2XvaH9rT25vce91f3i/e199f3/vg2+IP44flK+bv6Nvq8+0f7zfxD/KX88v0r/Vn9h/3A/gb+Uv6Z/tj/Fv9b/6j/+gBHAI4AzwEIATgBXAF7AZsBxQH1AiUCTgJsAoMCnAK/Au8DKgNvA78EGgR9BNcFGAU3BUEFSAVZBW8FgAWCBXcFWgUZBJ4D6gMiAoACLgIrAlECeAKPAqMCwwLxAyADQgNYA24DkAO8A+ID+QQFBBsESgSMBMYE2QTABJEEbgRrBIAEmQSkBKIEngShBKwEuQTGBNYE7wUQBTYFWgV5BZcFvAXrBiEGUgZ3BpUGtQbgBxYHTweFB7gH6ggbCEYIZgiACJoIuQjfCQkJNglmCZQJtgnHCcoJzAnZCfEKCwohCjQKSwpoCoYKnwqwCrgKugq4CrcKwgrdCwMLLQtVC4ALugwEDFYMnwzVDPoNEw0gDRwNBAzbDKoMcgwpC8ALLQp0CaoI7whlCCUILwhfCH8IZQgPB6wHeQeUB/AIXAiuCNwI9AkGCRYJGwkUCQkJAgj7COcIvgiFCEkIFAfmB7cHhwdaBzMHDQbkBrwGmQZ6BlkGMQYLBfUF8gXtBdAFnQV0BXcFowXJBbcFZQT/BLcEngSbBI8EdgRiBF8EYwRXBDUECQPlA8cDoANqAzADCAL6AvgC6wLKAp4CeAJiAlYCSwI7AiYCEAH+AfEB6gHhAdEBtgGSAW8BVAFCATMBIAEFAOIAuwCWAHkAYQBNADYAHQAD/+v/0/+5/53/g/9u/1//Tf8z/xT+9/7k/tf+yv62/pv+fv5i/kj+L/4Y/gT98/3k/dX9xv25/a79o/2Y/Yv9f/11/Wr9Wv1F/S/9Gv0H/Pn87vzl/Nr8yfy0/J78jfx//HH8YPxP/EP8PPw3/C/8I/wa/BX8FPwU/BL8EPwO/Az8Bfv6++/75/vk++D72fvR+8z7zfvQ+9D7y/vB+7X7qfuc+4/7gvt4+3D7avtk+1/7WPtR+037TvtV+1/7aPtr+2v7avtp+2j7Z/tm+2X7Zftj+2H7XvtZ+1b7VvtZ+1/7Z/tu+3T7e/uC+4f7hft9+3D7Zfte+177ZPtt+3b7dvto+1P7RPtE+0/7VvtO+zn7J/sl+zH7PvtB+zn7L/sl+x37FfsS+xn7Kvs5+z/7Ovsy+y77MPs2+z37RftM+1L7V/td+2f7dPuA+4b7ivuR+6D7s/vE+8770vvV+9v75vvz/AD8C/wT/Bj8Gvwd/CH8Jfwp/Cr8Kfwo/Cf8J/wm/Cb8KPwv/Dr8RvxS/F38aPxx/Hr8g/yL/JP8m/yk/Kz8tPy9/Mb80/zl/Pn9Dv0i/TL9Pv1I/VP9Yf1x/YH9jP2W/aP9tf3J/dn94v3q/fn+Ef4s/j7+Rv5J/lD+XP5q/nf+gv6O/p3+rv6+/sz+2P7g/uP+4f7f/uL+6v7x/vP+8v7y/vj/Af8H/wn/C/8P/xb/Hv8k/yr/Mf86/0T/Tf9b/3D/jP+l/7j/xv/V/+oABAAfADYASwBhAHoAlACwAM4A7QEMASoBRwFkAYQBpQHFAeEB/AIaAjsCWwJ1AowCpQLFAukDCQMjAzsDVwN3A5gDuQPbBAMEKwRJBFYEWgRcBFwERQQJA7QDcwOBA/wE2QXoBusHrAgRCCIIBwf6CCQIiwkQCYsJ4goSCiAKEQnmCakJZwkrCPQIuQh0CCcH2weUB1MHHgb8Bu8G7AbjBs8GuQauBrEGtQawBqEGlQaVBpsGnAaPBngGYgZWBlUGWgZiBmsGdAZ8BoMGiwaSBpgGlwaNBnsGYwZJBi8GFQX6BeEFygW1BZ4FfwVRBRIExgR4BDQD/wPWA7QDkANkAyYC0QJqAf8BogFiATkBFwDoAKYAXAAW/9v/qv97/03/JP8B/ub+zv64/qL+jf54/mP+UP5A/jL+I/4S/gH99P3s/eX92/3P/cP9uv2w/aP9kv2C/XX9av1f/VH9Q/04/TP9Mv0z/Tb9PP1D/Un9Tf1R/Vb9Xv1m/W79eP2D/ZD9nP2o/bj90P3t/gv+Jv5A/lz+gv6u/t7/C/81/13/hf+r/87/7gAPADMAXwCRAMUA9QEgAUgBbwGbAcoB/AIqAlMCdgKWArkC3wMIAzEDWAN9A6QD0AP+BCwEVQR7BJ4EwgTlBQYFJQVDBWMFhQWqBc8F8QYOBigGPwZUBmgGegaLBp8GugbaBvoHFwcuB0QHXAd3B5IHpwe2B8UH2Qf0CA8IIwgrCCwIKQglCB8IGAgSCBEIFAgYCBoIGggYCBMIBwf1B+kH7wgKCCoINgggB+8HvQeeB5kHoQenB6YHoAebB5kHmAeTB4sHhQeDB4UHhQd9B2sHVgdGBz0HOQc3BzUHMwctBx4HCQb4BvUG9gbrBssGowaOBpoGtga+Bp8GaQY+BjMGQQZSBlwGYwZzBngGjAaXBp0GqAa6BssG1QbYBtwG5gb2BwgHHgc7B18HhAekB74H1wfyCA4IKAg+CFMIagiBCJkIrwjECNgI6Qj3CQEJCQkOCQ8JDgkQCRsJLwlHCV8JcQl/CY0JmwmpCbYJwgnQCeIJ+QoVCjAKRgpOCkkKPQo1CjYKPgpECkUKRgpPCmQKfAqNCpMKlQqcCqkKswqvCqAKlQqcCrgK2QrwCvQK6grbCtYK5gsSC1QLlwu9C7ILegszCv4K7Ar8Cx8LSgt4C6ILxQvaC+ML5gvoC+gL5gveC9ILxAu4C7ELsQu6C8ULzAvJC7wLrAubC48LiguRC6ULwgvdC+sL6wvjC94L4gvuC/4MDwwiDDIMOAwvDBML7QvGC6MLhQtoC0wLNgsuCzULRwtcC28LgguWC6wLxAveC/sMGww6DFMMYgxrDHQMgQySDKQMtgzMDOoNDQ01DWMNmQ3UDg8OPg5fDnQOhA6PDpYOlw6WDpcOmg6eDqMOrg7DDtsO8A7/DxMPMg9VD2cPXw9HDzkPQQ9OD0kPLg8QDwAO9g7SDocOMA34DfAN/A3tDbANXg0cDPkM4wzADI0MVwwqDAUL3guxC4ALTwsXCtcKlwpkCkIKLQoaCgYJ9QnpCd8J0Qm+CasJnwmYCZIJiwmHCYgJiwmMCYkJgwmACX8JgAmACX0JdwlrCVoJRwk4CSsJHAkGCOsI0gjACLIIogiMCHMIWghBCCYICQfpB8oHqgeIB2QHQQchBwUG5wbHBqUGhAZoBk8GNwYeBgIF5QXJBa8FlwWABWkFUwU/BS0FGwUKBPwE9ATtBOQE0wTBBLYEtwS+BLwEqwSOBGsERgQZA9wDjwM4AuMClAJTAiICAQHoAckBngFrAToBFgD7AN0AtwCLAF4ANAAK/9z/rv+D/17/PP8Z/vL+x/6a/mz+PP4J/dX9ov1z/Uj9H/z0/MX8lfxn/D38E/vl+7H7fPtO+yr7Cfri+rL6ffpJ+hr58fnI+Z75cflA+Qz41/ik+HX4SPgZ9+f3tfeF91n3Lfb/9s/2oPZ29lD2LPYK9en1xvWh9Xn1UfUq9Qb04vS+9Jr0d/RU9DH0D/Pt887zr/OP823zS/Mu8xbzAPLo8s/yt/Km8pvyk/KI8njyYvJG8inyEPH/8fTx6vHe8dHxxPG48afxi/Fo8UnxOfE88UfxTfFJ8TvxK/Eb8Q/xB/ED8QXxCfEJ8QfxA/EC8QfxEfEd8SrxNfE58TLxIvEQ8QbxCfEX8SjxN/E+8UDxP/FD8VDxafGI8aTxtfG78b/xxvHV8efx9vIC8g3yHvI18k7yZPJ38obymPKu8sXy3fLy8wnzIPM681LzZvN384rzpfPI8/D0FPQw9EP0VPRq9Ij0qvTK9OX0/vUX9TP1UPVr9YT1n/W+9eH2BfYq9k/2dfab9sL26/cZ9033gfew99v4CPg/+IH4yPkR+V/5t/ob+on6+Ptk+8n8J/x7/Mb9Dv1a/az9//5M/o/+z/8V/2f/wAAaAHAAvAD8AS0BUAFtAYwBtQHnAhsCRwJlAncChwKkAtcDIAN2A9AEJARvBKcExQTJBL4EtwTABNUE6ATxBO4E2wSlBDkDlQLYAjsB5wHiAggCMgJOAmQCgwKwAt0C/QMQAyMDQwNvA5oDtwPGA9UD7wQXBDsESwRBBCsEHwQoBEAEVwRgBFwEVgRXBGMEdwSLBJ4EsgTKBOUFAAUcBTsFYgWUBckF9QYTBiwGUQaMBtgHJgdmB5YHvAfgB/8IFwgqCD8IXgiICLsI8gksCWIJjwmtCcAJzwngCfIJ/woBCgAKAwoSCisKSgpmCnwKiAqKCooKkQqlCsQK5gsGCysLYAuqC/wMRgx6DJoMrQy3DLUMogx+DE0MEgvFC1kKwwoGCTYIdgftB7QHwgf0CBUIBgfOB5oHmQfaCEMIpwjoCQQJDgkVCRYJDQj5COYI2wjSCLsIjwhTCBUH3wetB3wHSwciBv4G2gatBn0GVAY3Bh0F+wXUBbcFqwWkBYoFWAUpBSQFUQWLBZ8FcwUaBL8EfARQBDEEHQQeBDEEQgQ5BBED3wO4A5wDfANNAxgC7gLcAtgCzQKwAoYCYAJHAjsCMwInAhUCAQHvAeQB3QHXAcwBuAGcAX0BXgFEAS0BGQECAOUAwQCdAH0AZABOADcAHQAD/+v/0v+3/5j/e/9m/1b/Rf8r/wz+7/7a/sz+v/6t/pj+gf5p/k7+L/4Q/fX94P3N/bz9q/2d/ZP9iv2A/Xb9bv1n/V79Uf0//Sv9Fv0B/O783fzP/ML8sfyd/In8efxu/GH8UfxA/DL8Kvwl/B38EvwG+//7/fv9+/z7+/v5+/f78fvo+9/72fvW+9L7y/vD+737u/u8+7z7ufuy+6n7oPuW+4z7gft4+2/7avtn+2T7X/tX+1D7TftR+1n7Yftm+2j7aftp+2j7Zftg+1z7WftZ+1n7V/tT+077TPtP+1b7X/tl+2n7a/tt+2/7cPtr+2P7WvtV+1n7ZPtz+337ePti+0T7Lfso+zH7OPsz+yP7FvsX+yP7Mfs4+zX7LPsf+xH7BvsE+w77Hvsr+y77Kvsm+yb7Kfss+zD7NvtB+0v7UvtZ+2L7cPt/+4r7j/uU+5z7qfu1+777xPvL+9T74fvv+/38CfwU/Bv8H/wh/CP8Jvwo/Cr8Kvwo/Cb8JPwi/CL8J/wu/Df8P/xI/FH8W/xm/HH8evyC/Ir8kvyb/KP8q/y1/ML80Pzf/O/8/v0M/Rj9If0o/TH9Pv1Q/WL9cP1+/Y/9p/3C/dj95f3t/fn+Dv4n/jv+R/5N/lX+Yf5v/nr+gv6L/pf+pv62/sb+1f7f/uT+5P7l/un+8f73/vr++v79/wP/C/8R/xP/Gf8i/yz/M/81/zj/P/9J/1H/Vv9e/23/hP+c/6//vf/O/+T//QAVACsAQQBbAHgAlQCxAM0A6gEIASQBPwFbAXsBnQG8AdcB8gIQAjECTwJmAnsClQK1AtgC9AMLAyMDQgNnA4sDrAPNA/IEFwQyBD4EQwRJBEkELQPrA5YDYwOLBCcFIQY/B0AH7wg3CCoH/QfvCCkIogkuCaAJ4gn8CfoJ4AmvCW0JKgjyCL8IhAg7B+kHnQdbByQG9wbYBsgGvwayBpoGgwZ5Bn8GiAaIBn8GeAZ7BoQGhgZ7BmcGUwZFBj0GOQY6BkEGSwZVBl0GZgZxBnwGgQZ7Bm0GXQZPBj4GKAYJBeUFvgWWBWwFPgUNBNoEpgRyBDsEAgPEA4QDRAMDArsCZgIBAZgBQQEJAO4A2QC0AHsAN//5/8b/mf9q/zz/Fv76/uX+0P64/p/+i/57/m3+XP5K/jn+Kf4Y/gj9+f3u/eX92/3N/cD9s/2o/Z39j/2B/XT9aP1c/VD9RP07/TX9NP02/Tr9Qf1H/U39Uv1X/V39Yf1m/W/9ff2P/aD9rP22/cT93P36/hf+LP4+/lT+dv6i/tH+//8q/1X/gP+q/8//8wAWADoAYgCNALsA6gEZAUcBdwGqAd8CEwJAAmMCgAKdAr8C5wMSAz0DaAOTA74D6wQWBD8EZQSJBKsEywTpBQUFIgU/BWAFhAWqBc4F7wYKBiEGOAZQBmoGgwadBrkG2Ab6BxwHOAdPB2MHdweNB6EHtAfFB9gH8AgLCCQINwhCCEcISAhFCD4INggxCDAIMwg1CDcINwg4CDQIJwgTCAoIGAhACGoIeQhcCB4H3we8B7kHxwfSB9MHzQfIB8cHxAe8B7MHsQe4B8IHwgezB5kHgwd7B3wHfAd0B2MHUAc6ByMHDQcCBwUHDAcDBuMGvwa0Bs4G9Qb9BtEGiAZJBjIGPAZMBlQGWAZjBm0GggaSBp0Gqwa7BskGzgbQBtgG6wcCBxcHKwdGB2kHjwewB8gH2wfxCAwIKAg/CFMIZQh2CIcIlgioCL4I1QjoCPUI+Qj5CPoI/QkECQ8JHwkzCUkJXglxCYMJlQmmCbcJxgnXCeoKAQobCjMKRgpQClEKSwpCCjsKOQo7CkIKTwpfCnIKhAqQCpoKowqtCrYKuAquCp4KlAqXCqMKsAq2CrYKvArNCuwLFwtJC3sLnwunC40LWAsgCv8K/QsWCzwLZguRC7kL2gvvC/kL/Av/DAMMBgwEC/sL8AvlC+EL4wvrC/IL9QvyC+kL3gvRC8YLvQu9C8gL2gvsC/gL+wv6C/kL+gwBDA4MJQxBDFoMYgxVDDYMEQvsC8sLqguKC24LXAtZC2ILdQuLC6MLuwvTC+gL/QwVDDMMVQx5DJcMrQy8DMoM2QzrDP8NEw0pDUMNYg2IDbUN5g4aDkoOcg6PDqQOsw6+DsUOyg7PDtMO2A7eDusPAg8iDz8PUg9dD2sPgg+aD6IPlA9+D3cPgQ+KD34PXw9EDzwPNg8QDrkOTg4ADegN7w3pDbwNdQ00DQoM7AzKDJ0McAxJDCYL/gvNC5YLYAspCvIKvAqPCm0KUwo8CiYKFQoHCfgJ5gnRCb8JtAmtCacJnwmZCZYJlwmXCZQJjgmKCYcJhwmICYcJggl3CWgJWAlNCUMJNwkjCQsI9QjlCNgIxwixCJgIgAhoCE8IMwgVB/gH2Qe2B5EHbQdOBzEHEwbyBs4GrQaRBncGXQZBBiUGCQXtBdIFtwWdBYUFcQVgBVAFQAUxBScFIAUYBQoE9wTpBOkE9wUGBQYE8QTPBKkEgARKBAADqANNAv0CvQKJAmECQQIiAf0BzgGbAXEBUwE7AR0A9QDHAJkAbgBDABT/5/+//57/gP9b/y//AP7S/qX+df5D/g793f2v/YX9Wv0s/Pv8zPyh/Hr8Uvwk+/D7vPuN+2j7Rfsf+vD6uvqE+lP6J/oA+dn5rvl9+Uj5Evjf+LH4hfhX+Cb39ffG95r3b/dD9xX26fa+9pX2bfZH9iP2APXc9bT1jPVk9T71GfT19ND0rPSI9GT0P/Qb8/vz3fPA86DzgfNm81HzPPMj8wTy5PLK8rryr/Kl8pbyg/Ju8lzyTvJE8jvyM/It8ifyH/IP8fXx1PG08aLxofGp8a3xpPGR8X7xc/Fu8WrxYvFX8U7xS/FL8UvxRvE/8TvxPvFK8VzxbPF08XDxY/FV8U3xUfFf8XLxhPGP8ZDxi/GK8ZXxr/HO8ejx9PH18fTx+fIH8hnyKfI08j3ySPJZ8m/yhPKV8qLyrvK/8tfy8/MP8ybzOPNK813zcfOI85/zuvPa8/z0HvQ79FL0ZvR89Jf0tPTR9O31CPUk9UL1XvV59ZP1rvXM9ez2DfYu9lP2evai9sr28/cg91L3hPey9974D/hJ+Ir4yfkD+Tn5c/m2+gD6TPqb+vP7Vfu9/CT8h/zn/Uf9pP36/kf+j/7Y/yf/fv/aADcAjgDWAQoBKwFEAWEBiQG7Ae4CFwIxAkACUAJxAq4DAwNiA7cD9gQbBCgEIgQSBAMEAQQQBCcEOwRFBEgEPgQZA8IDMgKFAe4BmwGTAbsB7QISAi4CTwJ3Ap8CuwLMAt0C+gMjA0wDbAN+A4wDngO2A84D3QPgA94D4gPxBAYEGAQdBBUECwQIBBUEMAROBGgEegSHBJUEqgTGBOoFFwVIBXYFlgWpBbsF4gYpBokG6gc5B28HkgesB8AHzQfWB+IH+wgmCF8IoAjjCSMJWgmGCaoJyQnkCfgJ/wn4CeoJ3gnbCeIJ8goHCh8KNQpEClAKXApuCoQKnQq3CtoLDwtXC6YL6gwbDDgMSwxXDFoMSgwjC+kLogtRCu8KcAnQCRoIbAfrB68HsgfSB+gH3Qe/B7IH0QgfCH8Izgj8CQ0JEwkVCREJAAjmCMwIugiqCJAIZAgqB+wHsQd2Bz0HCAbfBr4GnAZvBj0GEwX3BeIFxQWgBYIFcwVqBU8FGgTgBMwE8AU3BWwFaQUuBNUEgAQ6BAgD7APrA/wECQP+A9YDpAN+A2gDUwMxAwQC3ALFArwCsgKbAncCUQI1AiQCFwIKAfkB6AHcAdYB0wHOAcIBsgGdAYYBbAFPATEBFgD9AOIAwgChAIEAZgBNADMAGP/+/+b/z/+0/5X/eP9g/0//PP8j/wX+6v7W/sf+t/6k/o/+e/5n/k3+Lf4L/e391P2+/aj9k/2D/Xf9bv1m/V79V/1R/Ur9Qf00/SX9E/z9/OT8zPy3/KT8k/yA/G/8Y/xb/FL8RPwz/CT8GvwS/An7/fvw++n75/vo++j75/vk++L73/vZ+9P7zfvJ+8T7v/u4+7P7sfuw+677q/ul+537lfuN+4X7fft2+3D7bfts+2v7aPti+1r7VPtT+1f7W/te+2D7Y/tn+2n7Z/ti+1v7V/tX+1j7V/tS+0z7SPtH+0z7UvtW+1j7V/tW+1X7UvtO+0v7S/tP+1j7Y/tu+3X7cfti+037Pvs5+z37P/s3+yj7GvsU+xn7Ifso+yn7Jfsa+wv6//r8+wX7E/sc+x77Hfsg+yX7Kvss+yz7Mfs8+0f7TvtS+1n7Zvt3+4X7jvuT+5n7o/ut+7f7v/vJ+9T74fvu+/r8B/wU/B38Ivwi/CL8I/wm/Cn8K/wq/Cf8JPwi/CP8KPwv/DX8Ovw//ET8TfxY/GP8bvx5/IP8jfyW/J/8qPyz/MD8zfza/OT87vz4/QL9C/0T/Rr9JP0z/UP9U/1j/Xf9kf2v/cn92f3k/e/+Af4Y/i7+P/5M/lj+aP53/oP+jf6X/qL+sP6//s3+2/7l/ur+7f7w/vf+//8F/wb/B/8K/xH/GP8c/yD/KP81/0H/Rv9H/0j/T/9a/2L/Zf9p/3L/g/+X/6n/uf/M/+L/+QAOACIAOgBXAHgAlgCwAMoA5gEEASABOQFTAXABkQGwAc0B6QIJAioCRwJdAnECigKpAscC4AL2AxEDNQNeA4MDogPAA+QECAQjBDEEOgRDBEIEIAPXA4EDWgOZBE8FXAZ/B3QICgg0CBAH2wfXCCQIrAk6CZ8J0AncCdUJvQmQCVIJEwjbCKUIXwgJB68HZAcvBwsG7AbRBrsGpwaNBnAGWAZQBlgGYgZiBlgGUwZZBmcGcAZrBlwGSwY6BisGHgYYBhoGHwYjBiYGLgY9Bk0GVgZTBkoGRQZEBj4GKwYJBd4FrwV9BUQFCATOBKEEgQRkBDwD/QOnA0UC5QKPAkIB9AGfAUcA/QDPALkAqQCKAFYAGf/i/7P/iP9b/y//Df73/uX+z/61/pz+jP6C/nf+Zv5S/j/+L/4h/hP+BP32/ev93v3P/b39rf2g/ZX9iv19/XD9ZP1a/VH9Sf1A/Tr9N/04/T79Rv1N/VP9Wv1g/WX9aP1q/XH9gP2V/aj9tf2//c795/4H/iP+Nv5C/lL+bP6P/rn+5/8X/0n/ev+m/87/8gAXAD0AZACNALkA6AEYAUcBdwGrAeQCHAJMAnACjAKoAssC9QMjA1EDfgOrA9cEAAQnBEwEcASUBLYE1gTyBQ4FKgVJBWoFjgWyBdQF8gYMBiMGPAZaBnwGngbABuAHAAcfBzwHVQdqB30HjgegB7IHxAfYB+8ICggkCDwITwhcCGQIZwhlCF4IVwhSCFIIUwhTCFMIVAhWCFMIRwg0CCkINAhWCHkIhAhoCDMIAAfnB+oH+ggDCAIH+gf0B/MH7wflB9gH0gfWB98H4QfVB8AHrweqB6wHqweeB4cHbAdRBzUHGgcIBwEG/AbsBsoGqAaiBr0G4AbkBrgGcgY8Bi0GPQZQBlUGUwZaBnIGhgaUBp0GqAa2BsIGyQbRBuEG/AcYBy0HPQdTB3IHlge0B8gH1wfqCAMIHwg2CEkIWAhoCHUIggiRCKcIwwjcCOkI6wjoCOkI8Qj/CQ0JGwkqCT0JUgloCX8JlgmsCcAJ0QngCfAKAAoOChoKKAo9ClcKbgp3CmwKVgpGCkYKVwptCn0KhwqPCpwKrAq6Cr4KtAqiCpIKiwqNCpUKogqyCsoK7AsWCz4LXwt1C4ALgQt0C1kLOAsdCxQLIAs4C1gLegugC8gL6wwFDBUMHAwhDCUMJgwkDB0MFwwTDBEMEQwPDAwMCQwJDA0MEQwRDAoMAAv4C/YL+wwCDAoMEAwUDBUMFAwXDCcMRQxqDIYMiQx0DFEMLQwNC+4LzQutC5ULiQuKC5MLowu4C9ML7gwHDBwMMAxJDGcMjAyxDNQM8g0LDR8NMg1GDVsNcg2IDaENvg3iDgwOOQ5kDosOrQ7JDt8O7Q70DvgO/A8CDwkPEQ8gDzsPZQ+SD7EPuQ+0D7MPwA/RD9YPyw+8D7gPvw+8D6IPeg9gD18PYw9CDuwOew4hDfsN+Q3zDcsNig1JDRkM+AzXDLAMiAxiDD0MEgvhC6wLdwtECxIK4Qq2CpEKdApcCkgKOAooChUJ/wnpCdkJ0AnJCcAJtQmrCaYJpQmkCaEJmwmWCZMJkgmTCZMJjwmGCXkJbAliCVsJUAlACS0JGwkNCP4I6wjTCLoIowiNCHUIWgg9CCEIBQfkB8IHnwd/B2EHQQccBvgG1ga5Bp4GgwZmBkkGLgYSBfQF1wW7BaQFkgWDBXMFZAVYBVEFTAVBBS8FHAUUBR8FNgVHBUIFJwUBBNgEqwRtBBoDvANlAyIC8QLKAqMCfAJUAioB/QHRAa0BkQF3AVcBLAD9ANAApQB6AEwAIf/9/9//wP+Z/2r/Ov8L/t3+rf57/kn+G/3x/cb9mf1o/Tf9C/zi/Lr8kPxj/DP8A/vW+677h/te+y76+PrC+o/6Y/o9+hj57/m++Yj5Ufkd+O34v/iR+GH4MvgE99n3rfeC91f3LfcD9tj2rPaB9ln2NPYP9er1xPWe9Xn1UvUs9Qb04vTA9J30ePRR9C30DfPv89DzsvOW83/zafNP8zDzD/Ly8uDy1PLI8rnyqvKd8pXyj/KG8nzycfJr8mjyZPJX8kLyKPIT8gryCvII8fzx5PHJ8bbxsvG38bvxtfGn8ZnxkvGR8ZHxjfGD8XrxefGD8ZXxpfGr8aTxlvGG8X3xffGK8Z/xtvHF8cfxwPG88cXx3PH48g3yFvIW8hfyH/Iv8kLyUvJe8mbybvJ78o7ypPK38sLyx/LP8uLzAPMj80DzVPNj83TzivOk877z1vPv9Az0LPRL9Gb0ffST9Kr0w/Te9Pr1F/U19VP1b/WI9aL1v/Xd9fr2FvY09lf2f/ao9tP2//cx92X3lve+9+H4CPg5+HT4rvji+RL5RPl5+a754PoU+lX6rfsY+4r7+Pxe/MH9JP2H/ej+Qv6V/uH/Lv+A/9oANACCALsA3wD5ARcBPgFsAZYBtQHJAdkB8gIfAmYCvwMYA1sDfAN6A2QDSQM1AzIDPgNVA20DfwOMA5UDlwN8Ay8CrAIQAYwBSQFLAXkBrgHXAfcCGAI8Al8CeQKLAp8CuwLfAwIDHQMwA0EDVQNsA4MDlAOeA6QDrAO3A8YD1APZA9QDyQPEA84D6AQLBCoEPgRIBFIEZQSDBKsE1gUABSEFNwVFBVgFgwXOBjEGmAbuBywHVAdvB4AHiAeLB5AHowfICAIISQiVCN8JIAlXCYUJrQnPCeYJ8QnvCeQJ1QnECbUJqwmsCboJ0QnqCgEKFQooCjwKUwpvCpcK0AsUC1sLmAvGC+YL/gwPDBEL+gvIC4ALLgraCoQKIgmpCR0IlAgqB/IH5wfvB/EH5QfaB+cIFwhfCKgI3Qj5CQUJCwkNCQYI8QjQCK4IkAh4CFwINggFB8sHigdEBwAGxAaXBnUGUwYpBfoF0QW3BaIFiQVqBVEFRgU/BScE8QSwBIoEmATQBQkFIAUMBN4EqwR5BEYEFAPqA9EDwgOuA48DaQNIAzQDIwMMAuwCygKxAqMClwKEAmYCQwIjAgwB+QHmAdQBxgHAAcIBxgHDAbcBpQGUAYUBcgFYATkBGAD5AN0AwAChAIIAZQBJAC0AEf/5/+T/zv+1/5f/ev9h/0z/Nf8Z/v3+5v7X/sn+t/6f/ob+cf5c/kT+Jf4E/eX9y/2y/Zj9gP1r/Vz9Uf1J/UL9Pf04/TL9Kv0h/Rf9Cfz2/Nv8v/yk/I38efxl/Fb8TfxI/EP8OPwo/Bj8DPwC+/b76fvd+9f72PvZ+9j71fvS+9D70PvO+8r7w/u7+7X7sPut+6v7qvup+6X7ofua+5L7iPt/+3f7cftu+2r7aPtn+2f7Zvti+137WftZ+1v7XPtc+1v7Xftj+2r7bftp+2L7XPtZ+1j7VvtR+0r7RPtB+0H7QvtD+0X7RvtG+0P7Pfs4+zj7PvtI+1L7Wftc+177Xvtc+1j7VftT+1H7TftC+zP7I/sZ+xT7FPsX+xv7HPsW+wn6/fr5+v/7CfsQ+xT7F/se+yb7LPss+yz7Mvs8+0f7TftO+1L7XPtr+3j7gvuK+5T7ofut+7j7wvvM+9f74/vt+/j8BPwR/Bv8IPwg/B78Hvwi/Cf8Kvwq/Cf8Jfwk/Cb8K/ww/DT8OPw8/EH8R/xP/Fn8ZPxv/Hv8hfyP/Jf8oPyr/Lf8xPzP/Nn84/zu/Pr9Bf0P/Rf9H/0q/Tb9RP1U/Wj9gv2f/br9zv3b/ef99/4L/iH+Nf5G/lj+af56/or+l/6k/rH+v/7N/tr+5f7t/vL+9/7+/wf/Dv8S/xH/Ev8W/x3/I/8n/yr/Mv8+/0r/UP9S/1X/Xf9o/3D/df96/4P/kv+j/7L/wf/T/+n//wASACUAPgBdAH0AmQCwAMkA5QEDAR4BNgFMAWcBhwGnAcUB5AIEAiUCQQJYAm4CiQKmAsIC2ALvAw0DNQNfA4IDngO7A94EAgQeBC0EOQREBEEEGgPLA3gDXAOtBHMFhgagB34H9wgJB9sHrwfACCAIrwk0CYkJrQm1CbMJoQl3CTkI+Ai+CIMIOgfhB4sHSwcnBxEG+gbeBr8GngZ6BlUGOQYwBjYGPgY4BioGIQYpBjwGTQZSBksGPAYqBhgGBwX7BfUF7gXlBd8F5AX1BgoGFQYUBhEGFwYjBicGFwXzBcgFmwVrBS8E6QSmBHgEYQRRBC8D6QOBAwcCkQItAd8BmgFXARUA3QC4AKMAjwBsADkAAP/N/6L/ef9P/yj/Cf71/uL+y/6w/pr+j/6I/n7+bP5W/kP+Nf4p/hv+DP3+/fL95f3V/cL9r/2f/ZL9hv14/Wv9X/1Y/VL9S/1E/Tz9OP06/UH9Sv1S/Vj9Xv1k/Wn9a/1t/XL9f/2R/aP9sP28/c796f4K/if+O/5K/lj+bf6I/qv+1f8J/0L/d/+m/8z/8AAVADsAYwCMALsA7AEdAUsBdgGnAeECHgJUAn0CnAK6AuADCwM5A2QDjQO1A9wEAQQlBEkEbwSWBLwE3wT/BR8FPwVgBYEFoQXCBeIGAAYbBjUGUgZ0BpoGwAbjBwEHHgc4B1EHZwd8B48Hoge0B8UH1wfsCAUIIAg6CFEIZAhyCH0IgQiACHoIdQhyCHIIcghyCHAIcAhyCHEIaAhZCE4ITwheCG4IbwhcCD0IIwgYCB4IJwgrCCUIHQgYCBgIFwgPCAAH8AfnB+QH5AfgB9YHywfDB7wHsgekB5IHgQduB1QHNAcSBvgG4QbGBqIGgQZ0BoAGkwaRBnEGRQYrBjEGSQZcBl8GWwZhBnwGiwaSBpYGnwauBr4GzQbcBvMHEAcsBz8HTQdeB3gHlgevB8AHzgfhB/oIEQgjCDIIQghVCGYIdAiBCJYIsQjLCNoI3QjbCN8I7Aj9CQ4JHAksCT4JVAlrCYUJoQm8CdIJ4AnpCfAJ+Qn+CgIKDAopCl0KlQq2CrAKigpkClUKYgp6CokKjgqRCpwKrAq1Cq4KmgqFCnsKfgqLCp0KtwrcCwsLPAtkC3kLfAt0C2gLXQtRC0MLNwswCzQLQQtVC20LiwuwC9kMAAwgDDUMQgxIDEkMRwxCDD8MQAxCDEEMOAwqDB0MFwweDC4MPwxHDEQMOQwsDCQMIAwhDCYMLgw1DDUMMgw0DEUMZwyLDJ4Mlwx6DFkMPgwmDAwL7QvRC8ELvgvCC8kL0QviC/oMFQwtDEIMWgx4DJwMwQzmDQoNMA1TDXANhw2aDa8Nxw3gDfoOFw45DmEOiA6rDskO5g8CDxgPJg8qDysPMA83Dz8PSg9gD4sPxQ/7EBYQDw/4D+gP7Q/7EAIP/A/xD+0P6g/XD68PgA9nD2oPcQ9TDwEOlg4/DhcODg4CDdsNmw1cDSwNCwztDMkMoQx4DE8MJAv2C8ULkwtgCy0K/ArQCq0Kkwp/CnAKYQpOCjYKHAoHCfkJ8QnoCdsJzAnACboJuAm2CbMJrQmoCaQJogmhCaAJnAmVCYsJggl7CXQJawleCU8JQQkzCSMJDgj1CN4Iygi2CJ4IgghlCEkILggRB/IH0QexB5AHbAdFBx8G/gbhBsYGqQaMBm8GUwY2BhcF+AXeBcoFuwWrBZkFiAV/BX0FegVvBVkFRQVABVEFawV5BW4FTQUjBPgExwSEBC4D0QOEA08DLAMKAuECsQKBAlYCLwIMAewBzwGxAYwBYQEyAQUA2wCwAIUAXQA7ABz/+//S/6P/c/9F/xb+5f60/oX+W/4z/gb91f2l/Xj9Uf0p/P78zvye/G/8RPwb+/L7yfud+237OPsD+tD6o/p8+lf6Lvn++cn5kflc+Sr4+vjM+J34cPhD+Bb36fe995L3aPc+9xL25fa59o/2afZE9h/1+vXV9a/1ifVi9Tz1GfT49Nf0svSL9Gb0RPQm9Afz5/PJ863zk/N481rzPfMk8xPzBvL38uXy0/LH8sHyvfK28qzyofKb8pfyk/KK8nzybPJf8lbyTPI+8ifyC/Hz8eTx4fHk8ebx4fHW8cvxxPHC8cHxvPG08a3xr/G68cnx0/HS8cbxtPGj8Zjxl/Gi8bfxzvHe8eDx2vHX8eLx+fIS8iLyJ/Io8izyOfJM8l/ycPJ+8ojykfKd8q/yxvLb8ujy6/Ls8vfzE/M481rzcvOB85DzpfO+89fz6/P/9Bj0N/RZ9HX0i/Sf9LT0zvTq9Qj1JfVB9Vv1dPWN9aj1x/Xm9gT2IPY+9mH2ifay9tz3Cfc792/3n/fD9933+Pgb+Ej4efio+Nn5DvlG+Xn5ovnH+fj6Qfqg+wj7a/vF/Bz8e/zn/Vv9zf4x/oT+zP8V/2X/uQAHAEUAcQCWAL0A5wENASgBOAFGAVwBggG8AgYCVgKcAsYCzAKzAowCbQJkAnECiQKfAq0CtwLEAtYC4gLLAoACBQF+ARsA+QESAUgBegGeAbsB2gH+Ah8COAJNAmYChgKoAsQC2ALnAvcDCwMjAzsDTgNcA2MDaANuA3kDhwOUA5gDkwONA5IDpwPGA+YD/QQLBBoELwROBHIElQSzBMsE3gTxBQ8FPwWGBdwGNQaGBsgG+gceBzUHQQdFB0sHWgd6B68H9QhGCJkI4wkhCVMJfAmeCbkJzAnWCdcJzgm5CZ0JgQlvCW4JegmPCaUJuwnSCewKCgoxCmAKmArTCw4LRAt0C50LvAvLC8QLowtoCxwKxgpwChsJwwljCQAIpAhhCDwIKggdCAoH+wf/CCEIWQiXCMYI4gjvCPcI/Aj8CPAI1AirCH4IVQg0CBgH/AfXB6IHXwcSBsUGhAZTBi0GCQXfBbQFjgVyBV0FRwUwBSAFGwUXBQIE0gSTBGIEUwRkBIAElQSlBLkE0gTcBL8EdAQQA7UDewNfA1ADPwMoAxAC+gLmAs8CtgKeAowCewJmAkkCJwIGAe0B2gHHAbQBpAGfAaYBsAGyAacBlgGFAXoBbQFXATgBFADyANUAugCeAIAAYwBFACkAD//5/+b/0v+5/5z/f/9n/1D/Nf8W/vn+5P7X/sv+t/6b/n/+Zv5Q/jf+Gf36/dz9wv2o/Y39cv1Z/UX9N/0s/ST9H/0c/Rf9EP0I/QD89/zo/NL8t/yb/IH8afxV/EX8PPw4/DP8K/we/A/8Afv0++b72fvP+837z/vP+8v7xfu/+7/7wPvB+777tvut+6X7oPue+5/7n/ue+5r7lPuN+4T7eftv+2f7Yvte+1r7VftR+1D7UPtR+1L7VPtX+1v7Xfta+1b7Vvtb+2T7avto+2L7WvtU+1D7TPtG+0D7Ovs2+zP7MPsw+zL7N/s7+zv7N/sz+zX7PftH+037TPtH+0X7RvtL+0/7TvtL+0X7Pfsz+yn7H/sW+w77CfsJ+wz7D/sO+wf6//r6+v37A/sK+w77E/sZ+x/7Ivsj+yb7Lvs6+0X7S/tO+1P7XPtn+3D7d/uB+5D7oPuv+7n7wvvL+9b74Pvp+/L7/fwK/BX8Gvwa/Bj8Gfwd/CP8Jvwn/CX8I/wk/Cf8Kvwu/DL8OPw//EX8SvxP/FX8Xvxp/HT8f/yJ/JL8m/yk/K78ufzG/NL83vzq/Pb9BP0R/R39Jv0u/Tf9Qf1P/WD9d/2R/av9wv3T/eH98f4E/hn+Lf4//lD+Yf5y/oP+k/6i/rH+wP7P/tv+5f7t/vT++/8G/xD/GP8Z/xj/Gf8e/yf/Lv8x/zL/N/9A/0z/Vf9b/2L/a/91/3//h/+Q/53/rP+5/8T/0f/h//YACwAdADAARwBjAIAAmQCwAMgA5AECARsBMAFGAWEBgQGjAcIB4AH+AhwCNwJPAmkChwKmAsIC2QLyAxQDPgNoA4gDoQO9A+AEBAQfBC8EPARGBD8EEwPCA3QDZQPCBI4FmQadB18HvgfFB6AHjQe5CCoItwkuCXQJkAmaCZsJiQlYCRAIxQiFCEoICAe9B3kHSwczByEHBwbkBr8GmgZxBkYGIgYQBhAGEwYLBfkF7QXyBgYGHQYqBioGIAYQBf0F6gXYBccFswWdBY0FjgWgBbYFwgXDBcYF1wXvBf0F8wXTBa4FiwVjBSoE4QSZBGcETgQ9BBcDygNbAtwCYgH8AaoBZgEqAPYAzgCyAJwAfwBTAB3/5/+5/5L/bv9I/yX/CP7y/t7+xv6u/pv+kP6I/nv+aP5U/kT+OP4s/hz+DP3+/fP95/3X/cP9r/2e/Y79gP1x/WT9W/1V/VD9S/1D/Tv9OP06/UP9Tv1X/V39Yf1l/Wr9bf1u/XH9ef2F/ZT9o/2z/cj94/4C/iD+Of5P/mX+e/6S/q3+0/8F/z7/dv+m/83/8gAYAD4AZQCOALsA7QEdAUcBcAGgAdsCGwJUAoECpQLIAvIDHwNKA3ADkQOzA9YD+wQgBEYEbgSXBL8E5QULBTEFVwV6BZoFtwXUBfMGEgYvBksGagaOBrMG1wb2BxEHKgdDB1sHcweJB6AHtQfIB9kH6gf9CBUILwhJCGAIcwiCCI4IlgiXCJQIkAiOCI4IkAiQCI4IjQiNCI0IigiECH0Idwh0CHIIbQhjCFgITghICEYIRghECD8IOgg1CDQINAgxCCUIEgf8B+0H6AfpB+kH4wfVB8IHrwegB5gHkweKB3MHTgciBvwG3gbEBqYGhgZuBmMGXwZWBkUGNQY0BkUGWwZnBmYGZAZrBn4GiAaLBo4GmQauBsUG2gbtBwMHHgc3B0kHVwdnB30HlAemB7QHxAfaB/IIBAgQCBoIKghCCFkIaQh2CIcInwi3CMgIzwjTCNsI6wj8CQ0JHgk0CUsJYgl4CZEJsAnRCekJ8gnyCfUKAgoSCh0KJgo8CmoKpQrOCs4KqAp8CmcKcgqKCpsKnQqbCp0KogqfCo0KdgpqCnEKiAqmCscK7AsYC0cLbQt+C3sLbQtgC1sLXAtdC1oLUwtOC04LVgtmC30LnAvDC+4MGAw9DFkMawxyDHEMbAxnDGcMawxtDGcMVwxDDDUMNAxCDFYMZQxqDGQMWQxODEYMQgxDDEgMUgxYDFYMUAxQDF8MfAyWDJsMiQxtDFcMSww/DCoMDgv4C/EL9wv9C/8MAgwMDCAMNwxLDGAMfQyjDM0M9Q0ZDUANaw2YDbwN1A3mDfoOEw4uDkkOZg6HDqwOzw7qDwEPGQ8zD0oPWA9dD2APaA9xD3kPgg+YD8gQCRBAEFUQQhAgEAwQDxAdECMQGxAOEAMP9g/YD6oPfw9sD3EPcA9KDvcOkw5IDiUOHA4NDeQNqg1xDUYNKA0LDOcMvAyQDGQMOgwPC+ELrwt6C0ULFgrvCtIKvQqtCp4KjAp0ClkKPQooChsKEgoGCfYJ5QnYCdIJzgnMCccJwwm+CbkJtAmwCa4JrAmpCaMJnQmYCZMJigl+CXAJYwlWCUYJMQkaCQUI8gjeCMcIqgiMCHAIVQg6CB0H/wffB7wHlQdsB0YHJQcJBu0G0AayBpQGdwZYBjgGGgYDBfMF5gXVBcAFsAWpBasFqwWfBYcFcQVsBX0FlgWhBZMFbQU9BQ0E1gSQBDwD6gOrA4QDaQNJAxsC5QKyAokCZwJIAikCCgHnAcABlQFpAT0BEwDoAL8AmQB4AFcAMgAI/9r/rf+A/1H/H/7v/sT+nP5y/kH+Df3e/bf9lv1x/UL9DfzX/Kj8fvxW/C38BPvZ+6r7ePtC+w/64vq6+pP6aPo4+gP5z/mc+Wz5PfkO+N/4sviE+Ff4Kff899D3pfd59033IPb29s72qPaD9lz2NPYO9ej1wfWa9XT1T/Ur9Qj04/S+9J30f/Rj9Ef0KPQH8+fzyfOr847zc/Nd80vzPPMp8xPy/PLq8t/y2fLT8szyxfLA8rzytvKu8qPymPKL8nvyZ/JQ8jryJvIX8gzyAvH68fPx7fHo8ePx3vHa8dXxz/HL8czx1fHj8fHx9vHv8eDxz/HB8bjxt/HA8dDx4/Hv8e/x6/Ht8fzyFfIs8jfyOfI78kPyVPJn8nnyiPKX8qXysvK/8tDy5vL98w3zE/MU8xvzMfNS83PzifOX86TztvPM8+Hz8/QF9B70QPRi9H70kvSj9Ln01fT19RL1K/VB9Vf1bvWH9aX1xfXn9gj2J/ZI9m72lfa89uH3Bvcw92D3jfey98335vgD+Cf4Tvh3+KX42/kW+Uz5efmf+cv6CfpW+qj69Ps3+3v7zPwz/Kv9Kf2f/gP+V/6i/uz/N/9//77/9gArAF8AjQCrALkAvgDLAOsBHwFfAaEB3gINAiICGwH7AdcBwwHIAeAB+AH+AfEB4wHkAfcCCAH5AbYBTgDpALEAtgDnASEBTAFoAYEBoAHEAeMB+wISAi4CUgJ1Ao4CnAKkAq4CvQLQAuYC+wMLAxUDGQMdAygDOQNMA1kDXANbA18DbQOFA6ADuAPLA98D9wQTBDEETQRlBHoEkQStBNQFBwVEBYYFygYQBlQGkAa/Bt4G7wb4BwMHFQc0B2UHqQf8CFMIowjkCRYJPAleCXsJlQmpCbIJrwmeCYMJZglOCUEJPQlBCUsJXQl5CaAJzQn+Ci0KWQqCCqsK2QsNC0ALZgtzC2MLPAsCCrwKaQoNCawJTAj3CLMIhwhwCGQIUgg0CBMIBAgYCEwIjAi/CNoI4gjjCOQI4gjYCMMIoQh2CEMIEgfoB8kHsAeRB2MHIQbVBokGRwYSBeYFvQWTBWoFRgUqBRUFBAT3BPAE7QTmBNAEqAR0BEMEHwQJA/sD+gQXBFoEtgT/BQMEsgQnA5sDPgMaAxsDHgMRAvcC2wLFArMCoAKJAnQCXgJGAicCAgHhAckBuwGvAZ4BjAGDAYYBkAGVAY8BgAFyAWgBXQFKASwBCADmAMoAsQCZAH4AYgBFACsAFAAC//D/2//B/6L/hv9u/1j/Pv8f/wH+6v7Z/sj+sP6T/nX+W/5E/ir+DP3t/dD9t/2f/YX9aP1N/Tb9Iv0T/Qn9BP0A/Pv89Pzt/Ob84PzX/Mf8sfyX/H38ZPxP/D78NPwu/Cj8IPwV/Aj7+vvq+9v7zvvI+8j7yvvH+7/7tfut+6v7rPut+6r7o/ub+5T7j/uN+437jPuL+4f7gft6+3L7aftg+1n7VPtP+0j7P/s3+zT7Nvs6+z77Q/tI+077UftP+0v7SvtN+1T7WftX+1H7SvtE+0D7O/s2+zD7LPsp+yX7Ivsh+yX7LPsz+zf7OPs5+z/7R/tO+077R/s++zj7OPs5+zj7Mvsq+yH7GvsV+xL7D/sM+wf7Afr9+vz6//sD+wP7AvsB+wL7BfsI+wz7D/sS+xP7FPsW+x37Kfs2+0D7RvtN+1f7Yvtq+2/7dft/+477n/us+7T7u/vE+9D73Pvk++z79fwA/Ar8EPwR/BD8EvwX/B38IPwh/B/8IPwi/CX8J/wq/C78Nfw+/Eb8S/xP/FT8XPxm/HL8fvyJ/JT8nvyn/LD8uvzF/NL83vzo/PP9AP0P/R79Kv0z/Tn9Qf1L/Vn9a/2C/Zr9sP3E/df96f3+/hP+Jf41/kT+U/5j/nT+hP6U/qP+s/7D/tL+3f7m/u/++v8H/xP/G/8e/x//Iv8q/zT/PP9A/0D/Qf9H/1D/W/9n/3H/fP+G/4//mv+m/7X/w//N/9b/4f/yAAYAGgArADkASwBhAHoAkwCtAMgA5AD+ARQBKQFCAWABgwGlAcQB4AH7AhUCLgJGAmICggKjAsAC2gL4Ax4DSQNxA48DpwPDA+YECAQhBDEEPQRDBDYEBQO3A3MDcgPXBJwFkAZ2BxoHagd1B2YHcQe4CDUIwQkvCW4JiQmUCZMJeAk6COMIjQhHCA0H0weYB2YHRwc0Bx8G/QbVBrAGjwZpBjkGCgXsBeMF4wXeBdAFxAXEBdQF6AX2BfsF9gXqBdkFxQWtBZQFdgVXBUEFPQVJBVoFZAVoBXMFjQWuBcIFvwWqBZEFegVcBSgE4QSZBGUERwQrA/oDqAM+AswCXgH6AaABUAEOAN0AvQCmAI0AaAA1//7/zP+l/4T/ZP9C/yD/BP7t/tj+wv6t/pv+jf5+/mz+Wf5K/j/+Nv4o/hb+BP32/ev93v3N/bn9pf2T/YT9df1o/V/9WP1T/U39Rv0//Tn9N/07/UP9T/1b/WP9aP1s/W/9cv1y/XH9c/17/Yj9mf2u/cb93/37/hf+NP5S/m/+if6g/rj+2f8G/zv/cf+h/83/9wAhAEgAbgCUAL4A7AEYAUEBagGZAdQCEwJMAnoCoALJAvcDJwNQA3IDkQOxA9UD/QQlBEwEcwSaBMEE6AURBTwFZgWKBakFxQXjBgIGIgY/BlsGegadBsAG4Qb+BxcHMQdLB2UHfgeWB64HxQfZB+kH9wgICB0INwhQCGcIeQiJCJgIpQitCK8IrQirCKsIrQiuCKwIqQinCKgIqgisCKoIowiYCI4IiQiHCIUIfghxCGQIXAhbCF0IWwhUCEsIRghECD8IMAgaCAgIAAgCCAQH/QfqB9EHuwetB6gHpQedB4YHYQc2BxIG/AbtBtwGwQahBoMGbAZcBlMGUQZWBmAGZwZnBmMGZAZvBn8GhQaIBpEGpAa+BtcG6wb8Bw8HJgc9B1AHYAdxB4MHkweeB6gHuAfPB+gH+AgACAgIGQgyCEwIXghsCHwIkQioCLoIxgjRCOAI8AkACRAJJglDCWEJeQmLCaAJwQnlCf4KAQn5CgAKIgpVCn0KiwqHCokKmwqxCrUKoQqFCnsKiAqgCq4KrQqlCp0KlgqKCncKagpwCo4KugrlCwoLKgtKC2ULcwtyC2YLXgtiC3ALfwuFC4ALdAtnC2ELZQt0C44LswvfDA4MOwxjDIQMmgykDKIMmgyVDJMMkwyODIAMbAxdDFoMZAx1DIEMgwx7DG8MZgxgDF0MXAxeDGUMbgxyDG0MYwxiDHAMhwyVDI4MdwxiDFsMXgxcDEsMMQwhDCIMLgw2DDUMNAw8DE4MYAxvDIEMngzJDPkNJA1LDXcNqQ3cDgQOHA4tDkIOXQ55DpMOrQ7MDvAPEA8nDzkPSw9jD3kPiA+OD5UPnw+qD68Psg/ED/AQLxBiEHAQWhA5ECoQMBA8EDoQKRATEAEP7A/LD6IPgg96D4APdQ9ADucOig5KDjAOKA4XDfANvQ2NDWgNSQ0oDQAM0wylDHkMTgwkC/YLxQuTC2MLOwsdCwYK8grdCsgKsAqVCnoKYQpOCkAKMwojChEKAAn0Ce0J6AnjCd4J2QnUCc8JyQnECcMJxQnFCcIJvQm4CbMJqgmdCY8JgQl0CWcJVQlBCSwJGAkECOsIzwiyCJYIewhgCEQIJwgIB+YHvgeUB24HTgcyBxcG+AbZBrkGmgZ6BloGPQYoBhoGDQX9BekF2gXWBdoF2gXMBbEFmQWTBaIFugXGBbcFjwVZBR4E3gSXBE0ECwPdA78DpgOCA1EDGwLqAsMCowKEAmMCPwIaAfIByQGfAXYBTgElAP0A1wC0AJEAawBAABP/5/+6/4v/W/8t/wP+2/6u/nr+Rf4X/fT91v2y/YP9Tf0Y/Oj8vfyT/Gn8QPwW++j7tvuB+077Ifr5+tD6ovpw+jz6C/nd+bD5gvlT+SP49PjG+Jn4bfhB+BX36Pe594v3X/c19w726fbC9pr2cvZK9iT1/fXW9a71hfVc9TT1DvTs9M70tfSe9IP0ZfRE9CP0A/Pk88XzqfOR837zbfNa80PzKfMS8wDy8/Lr8uby4fLd8tfyz/LG8r3ysvKj8o/ydvJe8k3yRPI88jLyIfIO8gDx+vH58frx9/Hw8efx4PHe8eTx8vID8g/yEfIJ8f3x8fHp8ePx4vHm8fDx/PIE8gXyBPIL8h7yNvJK8lLyU/JW8mPydfKH8pPynvKs8r3yzvLd8uvy/fMS8yXzMfM28z/zUfNr84XzmPOl87LzxPPZ8+zz+/QN9Cf0SvRs9If0mfSp9MD03/T/9Rr1LPU89U71ZPWA9Z71v/Xi9gX2KvZQ9nf2nvbB9t72+vcZ9z/3aPeQ97P30/f1+Bn4Pvhj+I34vfj0+Sv5X/mO+b/59vox+mv6n/rP+wP7Q/uX+/78c/zt/WL9yv4k/nP+uv7+/z//gf/C//4AKwBDAEsAUQBnAJQA0AEPAUYBcAGMAZYBjAFyAVgBUQFjAYEBkgGDAVcBJQEHAQcBEwELAOAAngBoAFwAfwC8APQBGQExAUoBawGOAaoBvwHWAfUCGgI8AlICXAJgAmUCcAJ/ApQCqgK+AswC1QLcAucC9wMIAxUDHAMhAykDNwNJA10DcAODA5gDsAPLA+gEBAQfBDYETgRtBJYEyQT+BTIFZwWkBekGLwZoBosGmgaiBq4GxAboBx0HZAe5CBMIZAikCNMI+AkZCTgJUgllCW0JagleCU0JOwkpCRkJCQj+CP8JEQk3CWoJognUCfkKEAofCjEKUwqJCsUK9QsHCvkK0wqcClYJ/QmTCSMIvwh6CFwIXQhrCG0IVwgsCAUH/ggkCGcIqQjSCN0I2AjPCMUItwifCIAIXgg3CAkH1AehB3gHWQc6Bw8G1AaOBkgGCQXQBZ4FcAVGBSEFAATkBNAExATABL8EugSqBI0EZgQ8BBQD7wPIA6EDiQOWA9oERgSrBNEEmwQaA4YDFgLjAt4C5QLgAs0CtwKmApcChQJuAlYCQAIpAgsB5gHCAakBngGXAYsBegFrAWYBagFuAWoBYAFWAU4BRQE0ARgA9gDXAL0ApwCSAHsAYgBJADIAHwAP////6v/O/67/j/92/2H/Sv8v/xL++P7f/sb+qf6J/mz+Uv46/h79/v3f/cP9q/2V/Xz9Yf1F/Sz9Fv0E/Pj88Pzr/OX83vzW/M/8y/zF/Lr8qfyT/Hv8ZPxP/D78Mfwo/B/8F/wN/AL79Pvk+9T7yfvF+8b7xvvA+7T7p/uf+5v7mfuX+5L7jPuI+4P7f/t7+3j7dvtz+2/7avtj+137VvtR+037SftE+zz7Mfsp+yX7J/sq+y37Lvsw+zT7OPs6+zr7O/s++0H7Q/tB+zv7N/s0+zL7L/sr+yb7I/sh+yD7Hvsf+yP7Kfsv+zP7Nvs9+0b7UPtT+0/7R/s/+zv7Ofs1+y37IvsX+xD7DPsJ+wj7B/sG+wL6+/r0+u/68fr3+wD7BvsI+wj7B/sH+wj7C/sM+wz7DfsS+xz7Kfs0+zv7QftK+1b7Yvtp+237cvt8+4v7mfuj+6r7sfu9+8z72Pvh++b77fv3/AD8BfwG/Af8CvwQ/Bb8Gvwa/Bn8Gvwe/CL8JPwn/Cv8Mvw7/EL8SPxM/FH8Wvxm/HL8fvyL/Jj8pvyy/Lz8xfzO/Nn84vzq/PL8/f0L/Rr9Jv0v/Tb9Pf1H/VT9ZP13/Yv9n/2z/cj93/32/g3+H/4u/jv+Sf5a/mv+e/6J/pj+qP66/sr+1/7i/u3++f8F/xH/G/8i/yj/L/84/0H/Sf9O/1D/Uv9W/13/Zv9y/3//i/+V/6D/q/+3/8T/z//Y/+L/8QAFABkAKgA1AD4ASQBZAHAAiwCpAMcA4wD7AREBKAFFAWcBigGrAckB5QIBAhsCMwJKAmUCgwKkAsEC3gL/AycDUwN4A5UDrQPIA+kECAQfBC0EOAQ6BCcD9AOtA3oDiQPvBKEFcQYwBroHBQcfBysHUAeoCCsIuAkoCW0JjgmaCZEJaAkeCMEIaQgjB+gHrwd3B0wHMwciBwoG5Qa8BpsGgAZdBisF8wXKBbkFuQW4BbAFpQWiBakFtAW9BcIFwwW/BbUFowWKBW0FTAUrBREFAwUCBQcFDAUUBSYFRQVnBXwFfgVzBWgFXgVIBRsE2gSZBGYEQQQYA9wDiQMqAsoCaQIGAaEBQgD3AMUAqACRAHMASAAT/+D/tf+U/3f/Wf83/xf+/P7l/tL+vv6r/pj+hP5v/ln+SP4+/jj+L/4g/g79/f3w/eT91f3A/av9mP2I/Xn9a/1g/Vn9VP1O/Ub9Pf03/TX9Nf04/T79Sf1W/WP9bf1z/Xj9ev15/Xf9df15/Yb9mv2x/cr94/39/hn+N/5X/nX+kP6o/sH+4P8I/zb/Z/+X/8f/9gAkAE4AdQCbAMUA8AEbAUMBawGaAdICDgJEAnICnALIAvgDJwNPA3ADkAOzA9sEBgQuBFUEeQSdBMEE5wUQBTsFZQWLBasFywXrBg0GLQZKBmYGhQanBsoG6QcGByAHPAdXB3EHiAefB7YHzgfiB/EH/QgLCCAIOghTCGgIeQiJCJwIsAjBCMsIzgjOCM8IzwjPCMsIxQjBCMAIwwjGCMUIvgi0CKwIqwiuCK4IpAiQCH0IdAh4CIEIgwh4CGYIVwhRCE8ISgg/CDMIKwgmCB4IDQf1B9wHyAe7B7MHqgedB4cHawdNBzUHKAcgBxUG/gbaBrQGlQaCBnoGeAZ3BnQGbQZlBmIGaAZ0BoYGigaRBqAGuAbSBucG9wcGBxkHMAdHB1oHagd6B4oHlQebB6EHrgfDB9oH6wf1B/4IDggkCDsITQheCHIIigihCLQIwwjUCOkI/QkOCR8JOAlaCX0JlAmhCbEJ0Qn4ChAKDAn9CgcKQgqfCu4LBgrlCq4KiAqACogKjwqTCpkKqAq3CrwKswqlCpkKkQqLCocKjgqoCtMLBAstC0kLWgtlC2sLagtkC2ILawt+C5QLoQuhC5YLiQt+C3kLfQuNC6sL1wwJDDwMbAyYDLsM0wzcDNkM0AzHDMEMuQyqDJUMgwx9DIYMlwylDKUMmAyEDHQMawxoDGcMaAxuDHcMgAyBDHkMbwxwDH8MkwybDI4MeAxrDG8MeQx5DGgMUQxIDFIMYgxrDGkMaAxyDIMMkwydDKoMxgzyDSQNUg1+Da4N5Q4ZDkEOWg5vDokOpw7CDtgO7Q8LDy8PTw9lD3IPgQ+XD6wPuQ+/D8UP0A/bD98P3w/vEBgQUhB+EIYQbxBUEEoQUBBUEEUQKBAMD/YP3w+/D5wPiA+KD5EPfw9BDucOkQ5cDkgOPw4rDgYN2g2xDY0NaQ0/DREM4QyzDIgMXQwyDAcL2guvC4kLawtSCzwLIgsGCugKzAq0Cp4Kiwp5CmgKVgpCCi8KIAoWCg4KBgn+CfcJ8gntCecJ4QneCeEJ5QnnCeMJ3QnWCdAJxwm5CakJmgmOCYQJeAlnCVMJPAklCQ0I8wjZCL0IoQiECGYISQgsCAoH4we7B5YHdwdbB0AHIQcABt8GwAagBoEGZgZRBkIGNAYlBhQGCQYGBgcGAgXvBdMFuwW1BcUF3QXpBdsFsgV3BTME7QSoBGsEOwQZA/0D3gO1A4MDUQMmAwIC4QK+ApkCcwJMAiQB/AHVAbABiwFlAT4BGADzAM4ApwB9AFAAI//2/8f/mP9r/0H/F/7p/rf+hf5Z/jb+Ff3v/cH9kP1f/TL9Bvzb/K/8hfxa/Cv79vvB+5D7Zvs9+xL64fqs+nn6Sfod+fH5w/mS+WH5MvkE+Nn4r/iF+Fj4KPf498j3m/dw90f3IPb59tL2q/aE9l32NvYP9ef1vfWR9Wb1P/Ud9QL06vTT9Lj0mfR49Fb0NvQX8/nz2/PA86rzmPOH83TzXfND8yrzGPML8wPy/PL08ury4PLW8s7yxfK48qXyj/J68m3yZfJe8lLyQPIs8h/yGvIb8h3yGvIT8gnyAfIA8gbyEvIf8ifyJ/Ih8hryFPIR8g3yCvIJ8g7yF/If8iXyK/I18kfyW/Jp8m3ybvJ08oLylPKi8qvysfK98tDy5fL28wTzEvMh8zHzQPNL81jzafN/85TzpfO088Tz2vPw9AP0EfQg9Dj0WPR49JD0ofSy9Mr06fUH9R71K/U39Uj1X/V79Zn1ufXc9gP2K/ZV9nz2ofa/9tj27fcE9yL3Rvdu95f3v/fo+BL4Pfhm+I74ufjp+R75VfmM+cD58fod+kT6aPqP+rv67vsr+3X7z/w6/K39IP2I/eL+Mv5+/sn/Ff9d/5j/wf/X/+T/9wAcAFIAjwDHAPIBEAEiASgBHgEKAPkA+wEUATgBSwE6AQEAtgB0AE4APwA2ACUADwAGABkASACCALQA2QD1ARMBNAFSAWoBfwGZAboB3gH6AgsCEwIYAh8CKwI7Ak8CZwJ+ApECnwKrArcCwwLLAs8C0wLcAusC/QMNAxsDJwM3A0wDYwN/A54DvwPeA/YECwQnBFEEhgS+BO8FHAVSBZgF5AYkBkkGUwZSBlYGagaSBs0HGgd0B88IHwhcCIoIsQjUCPMJCgkUCRIJCgkBCPkI8gjqCN4IzwjECMcI4AkNCUQJeQmgCbQJtQmuCa0Jwwn0CjYKcgqTCpEKbQotCdMJYgjlCHMIJggNCCEISwhqCGgIQggMB+kH8ggpCHQIsgjPCM4IwQiyCJ8IgwheCDgIFwf4B9AHmgdfBysHAwbiBrsGiQZMBgwFzAWPBVYFJgT/BN8EwgSmBJEEiASIBIkEfgRiBDoEDwPqA80DswOVA3ADTQNAA14DqgQJBE0ETgQFA44DGQLJAqMClQKPAocCgAJ8AnMCYQJIAi8CHAIMAfYB1gGxAZMBgwF7AXEBYwFTAUkBRQFEAT4BNgEwASwBKAEbAQQA5gDIAK8AmgCHAHMAXwBKADcAJwAYAAn/9v/b/7r/mv9//2j/U/88/yL/B/7p/sr+qf6I/mv+UP40/hX98v3R/bX9nv2J/XH9V/08/ST9D/z9/O/85fzd/NX8y/zC/Lr8tPyu/KX8mvyK/Hf8ZPxR/D/8Lvwg/BP8CfwB+/j77fvf+9H7yPvE+8T7wPu3+6r7nvuX+5P7jvuH+4D7e/t4+3b7cvtt+2j7Y/te+1n7VPtO+0n7RftC+0H7QPs9+zf7L/sp+yX7Jfsl+yL7Hfsa+xv7H/sk+yj7LPsw+zL7Mvsw+y37Lfsu+y/7Lvsq+yf7JPsj+yP7I/sl+yn7Lfsw+zD7Mvs5+0P7S/tO+0r7Q/tA+0D7QPs7+zL7J/sg+x37G/sX+xL7DfsI+wP6+/rx+ur66vrw+vv7A/sH+wX7Afr/+wH7BvsK+w37EfsY+yP7Lfs1+zv7QPtI+1P7XPti+2b7bPt3+4T7kfuZ+6D7qvu4+8f70/vb++H76Pvw+/j7/Pv9+/78AvwI/A78EvwU/BP8FPwX/Bz8Ifwn/Cz8M/w6/D/8RPxJ/FD8W/xm/HL8fvyL/Jr8q/y7/Mj80/zd/OX87Pzy/Pj9AP0K/RX9H/0n/S/9Of1G/Vb9Zf11/YX9lf2n/bz91P3u/gf+HP4s/jr+Sf5b/mz+ev6I/pb+pv64/sn+1/7k/u/++/8G/xD/Gv8l/zD/O/9D/0n/T/9U/1v/Yf9n/2z/dP99/4j/lP+g/6z/uP/D/8z/1P/d/+v//gAUACcANAA6AD4ARQBTAGkAhgCnAMcA5AD9ARUBMQFRAXMBlAGxAc4B7QINAioCRAJbAnQCkAKuAssC6QMLAzIDWwN+A5kDsgPNA+oEBQQYBCUELgQsBBUD5QOsA44DqwQNBKEFRQXaBk8GoAbTBvsHMwePCBAInAkUCWUJjgmXCYIJTgj/CKgIWggbB+IHpwdtB0EHJwcVBvwG1wawBpEGeAZWBiUF6wW9BaUFnwWcBZQFiQWDBYMFhgWIBYwFkgWYBZgFjgV7BWIFRQUnBQoE8QTeBNIEzwTXBO4FDgUrBTwFPwU8BTwFOwUqBQMEzASTBGQEOQQGA8EDbwMYAsACYgH6AY0BKQDeALAAlAB7AFkAK//5/8z/qP+K/23/Tf8s/w7+9P7f/sv+uP6l/pH+e/5j/k3+Pv42/i/+JP4U/gT99/3t/eH9zv25/aX9lP2G/XX9Zf1Z/VL9TP1E/Tn9MP0t/S/9Mv0z/TX9O/1J/Vn9aP1y/Xn9fv2A/X/9f/2E/ZD9pP28/dT97f4J/if+Rf5i/nv+k/6r/sf+5/8M/zT/Xv+L/7v/7AAaAEYAcACbAMkA9wEjAUsBcwGgAdYCDwJGAncCpQLTAwADKwNQA3IDlAO6A+MEDQQ1BFoEfQSfBMIE5wUOBTcFXwWFBakFzAXxBhUGNwZWBnQGlAa2BtcG9QcQBywHRwdhB3gHiwefB7UHzQfjB/QIAQgRCCcIQQhaCG0IfAiMCKEIuwjUCOYI8Aj1CPcI9gjzCOsI4QjaCNcI2AjYCNQIzAjFCMIIxAjHCMUIuQimCJYIkAiXCKEIowiZCIUIcghoCGUIZwhoCGUIXAhLCDAIDwfvB9gHyge9B64HmweJB3oHbgdiB1UHSQc8BywHEgbxBs4GsQagBpcGkgaMBoMGegZ1BnUGewaBBpAGkwadBrAGxwbbBusG+AcKByIHPgdWB2YHcwd/B40HmAegB6YHrwe9B84H3AfoB/QIAwgWCCcIOAhNCGcIhQieCLAIvwjVCPEJDQkiCTYJUQl1CZkJrgm3CcMJ4goJCiEKGAoBCggKTAq7Cx0LOwsLCrQKbgpXCmkKiwqoCroKxArGCr8KsAqjCp0KogquCsEK2gr7CyILRQtdC2kLbAtrC2gLZgtnC3ILhQuaC6cLqAuiC5sLmAuZC5oLnwuwC9EMAww8DHUMqAzTDPYNDQ0WDRINCAz9DPIM4wzPDLgMqAylDLAMvgzEDLsMqAyRDH4McgxrDGgMbAx4DIoMmAyaDJAMhgyJDJoMrQyyDKQMkAyGDIwMlQySDIAMbwxuDH8MkgyaDJgMmAykDLcMxgzQDN4M+w0nDVcNhQ2xDeIOGA5KDm8Oig6mDsgO6g8DDxMPJA9CD2gPiA+bD6UPsw/JD+AP7Q/wD/MP/hALEBMQFxAoEE8QghClEKYQixBuEGIQYhBaEEAQHA//D+sP1w+6D5sPiw+PD5QPfw9DDvEOqw6CDnEOYw5KDiUN/g3YDbINhQ1SDR4M7wzDDJkMbwxHDCAL+gvWC7YLmguCC2kLSwspCwkK7grZCskKuAqmCpAKeQpiCk8KQgo5CjEKJwodChUKDwoKCgQJ/gn+CgIKCAoICgIJ+AnvCegJ3wnRCb8JsAmlCZ8JlgmJCXYJXwlICTEJGgkBCOUIxwimCIYIZwhJCCkIBAfeB7sHnQeDB2cHSQcoBwcG6AbLBq8GlQZ/Bm0GXgZQBkMGOwY3BjIGJAYLBe8F2wXbBewGAwYMBf0F0wWVBU8FCgTNBJ0EeQRbBDoEEgPiA7IDhgNhAz8DGwL0As4CpwKAAlkCMQINAesByQGmAX8BVwEyAQ4A6AC/AJIAYgAzAAP/1P+n/3z/Uf8k/vf+y/6k/n7+WP4t/f790P2k/Xr9T/0k/Pj8zfyg/G78OfwE+9b7rfuF+1f7I/rt+rn6ifpc+i/6APnP+Z75b/lC+Rn48PjF+JX4Y/gx+AH31fer94D3Vvct9wb24Pa59pH2avZE9h319PXK9aD1efVY9Tz1I/UK9O30zfSq9Ij0Z/RK9C30EPPz89nzxfO086PzjfNy81fzQvM08yrzH/MR8wHy8vLo8uDy2vLQ8sPysvKh8pLyhfJ58mvyXfJP8kXyQPI/8j7yO/I28jDyLPIr8i7yM/I48jryOfI28jPyMvIx8i/yK/Iq8i3yNfJA8kvyVvJi8m/yfPKD8obyiPKP8pzyrPK38r7yw/LO8uLy+fMN8xzzKPMy8z/zTPNa82rzffOS86Xzt/PH89vz8/QL9B30KvQ49Ev0ZvSC9Jj0qPS49ND07fUI9Rz1KfU09Ub1X/V89Zn1uPXc9gT2L/ZY9n32nva59tH25vb79xb3N/de94j3svff+A34Pvhu+Jv4xfjv+R75UvmJ+bz55/oI+iT6Qfpl+o76uvrn+xj7Vfuk/AL8aPzN/S79jf3t/k3+qf73/zP/Xf97/5n/vf/sAB8AUAB5AJoAswDDAMcAvwCvAKMAqADDAOwBDQESAO4ApwBPAAD/yv+u/6f/rv/B/+EACgA5AGcAkAC2ANkA9gEMASEBOQFbAYEBogG3AcEBxwHPAd0B7gH/AhICJwI9AlECYwJ0AoQCjgKPAosCigKTAqUCugLJAtIC3ALsAwIDHAM4A1gDegOZA68DwgPdBAwETQSOBMME6wUWBVUFogXpBhMGHAYQBgcGEQY2BnMGxAcgB3sHyQgHCDgIZAiMCK0IwQjECLsIrgijCJ0ImgiXCJIIjgiPCJ4IvAjmCQ8JMAlACUAJNAkjCRoJJQlNCYwJzwoACgsJ6QmYCSAIkwgOB7UHnAfECA4IUghuCFYIHQfkB84H6QgrCHMIpQi1CK4IoAiQCHgIVAgmB/sH2Qe7B5QHXAcdBuUGuwabBngGSwYTBdQFkgVPBRME5ATCBKcEjQRwBFkETQRLBEYENAQQA+EDswOOA3UDZgNZA0YDKAMJAv4DHQNnA8AD+wP2A60DQALXAowCYQJOAkcCRwJJAkQCNAIaAgEB8QHnAdsBxAGkAYQBbQFeAVIBRAE3AS0BJgEfARUBCwEGAQYBBgD/AO4A1QC4AJ4AhwByAGEAUQBCADMAJAAUAAX/8v/a/77/of+F/23/WP9B/yn/Dv7w/tD+r/6P/nH+VP40/hD96f3G/an9kf17/WP9Sf0w/Rr9B/z4/Or83vzS/Mf8uvyu/KP8mPyQ/In8gfx4/G38XvxN/Dv8J/wV/AT7+Pvv++n74fvX+8z7xPvA+737tvur+577lfuP+4z7hvt9+3T7b/tu+237avtk+137VvtR+0v7Rfs/+zv7Ofs3+zf7N/s2+zT7MPsr+yj7JPsg+xr7EvsN+wz7DvsS+xb7Gfsd+yD7Ivsk+yf7K/sw+zP7Mvsw+y37LPsr+yr7Kvss+zD7NPs0+zH7MPsz+zr7QPtB+z/7O/s7+z77P/s8+zX7MPst+yz7Kvsj+xr7EfsK+wP6+vrx+uv66fru+vX6+vr7+vn69/r2+vr7AfsJ+xD7Fvse+yf7MPs3+z37RPtN+1X7XPth+2b7bft4+4P7jfuU+5z7p/uz+8D7yvvS+9r74/vs+/P79vv4+/n7/PwB/Af8C/wN/A38DfwP/BX8Hfwm/C/8Nvw7/D/8RPxK/FL8Xfxq/Hb8gfyO/J38r/zB/NL84Pzq/PL8+Pz8/QH9B/0N/RT9Gv0h/Sv9Of1K/Vv9av13/YL9j/2e/bH9yv3m/gL+Gv4u/j/+UP5h/nD+ff6J/pf+p/64/sj+1/7l/vP+//8J/xL/G/8o/zj/Rf9M/07/Uf9X/2H/bf92/33/hP+L/5T/nv+q/7b/w//N/9T/2v/j//MABwAcACsAMwA3ADoAQgBRAGcAhQClAMYA5AD/ARwBPAFeAX8BmwG2AdIB8gIVAjUCUAJpAoICngK8AtkC9wMZAz4DYgODA54DuQPVA/EEBwQWBCIEKQQkBAsD3gOyA6YDzgQnBJsFEwWGBe8GTwahBucHLgeJCAAIhgkACVgJhAmHCWYJKAjaCI4IUAggB/EHvAeEB1YHOAciBwcG4ga8BpsGgAZfBjIF/gXRBbMFoQWSBYIFdAVsBWoFaAVmBWUFbAV2BX8FfwV2BWYFUwU+BSUFCATpBM8EwATDBNcE8QUIBRUFGQUcBSEFIAUQBO0EvQSNBGEEMQP2A6sDVwL/AqICOwHLAVwBAQDCAJ4AhQBqAEUAGv/u/8f/pf+F/2T/Q/8k/wn+8v7d/sj+s/6e/or+df5f/kz+Pf4y/if+GP4H/fn97/3m/dn9xv2y/aP9lv2J/Xb9Yv1T/Ur9RP06/S79Jf0k/Sr9L/0w/S79Mv09/U39XP1o/XL9e/2C/Yj9jP2U/aL9tv3M/eP9/P4a/jv+Wf5x/oX+mP6x/s/+8f8S/zT/Wf+C/7D/3wAMADgAZACTAMYA9wElAU0BdQGhAdUCDwJKAoECtALiAwsDMQNWA3oDnwPGA+4EFQQ7BGEEhgSqBM4E8gUYBT8FZgWMBbEF1gX7Bh8GQQZiBoIGpAbEBuIG/QcXBzEHSwdiB3UHhwebB7QHzwfoB/wIDgghCDoIVAhrCH0IjAidCLMIzgjoCP4JDQkWCRoJGQkSCQUI+QjxCO8I7gjsCOcI4QjdCN0I3gjcCNUIygi+CLQIsAivCLEIsQisCKEIkwiHCIEIhAiNCJEIhwhqCD8IFQf5B+wH5wfZB74Hmwd+B3AHbgdtB2cHWAdCByoHEAb0BtoGxQa2Bq0GpwaiBpwGlwaUBpQGkwaSBpgGnAaoBroGzAbbBucG9QcLBykHRwdgB24Hdgd/B4wHmwenB7AHtwe/B8gH0AfaB+cH+AgJCBgIKQg/CF4IfgiZCKsIvQjYCPsJHgk6CVAJagmMCa0JwQnKCdUJ8goZCjMKLgoXChYKRwqhCvELBQrUCoIKRQo6ClsKiwqwCsQKyQrHCr8KtgqzCrsK0QrvCw8LLAtFC1cLYgtnC2kLagtqC2oLbAtyC4ALkgufC6ILngubC6ALqwu1C7oLvwvQC/YMLwxwDK4M4Q0KDSsNQQ1LDUkNPw0xDSINEAz8DOcM1wzRDNIM1QzUDMsMvAypDJQMgAxvDGgMcgyNDK8MxwzNDMIMtgy2DMMM0gzSDMMMsAyoDKwMsQyqDJoMjwyVDKoMvQzEDMMMxQzSDOUM9w0FDRkNOg1mDZMNvA3lDhMORQ5yDpUOsg7UDvwPHw81D0MPVQ92D50Pug/FD8oP2Q/2EBMQIxAlECcQMxBFEFIQWhBnEIYQrhDGEL4QnRB5EGUQWRBIECkQBw/vD+IP0w+6D50PjQ+MD4sPcw8+Dv0OyQ6tDp4Oiw5tDkcOIg39DdENnQ1mDTINBgzfDLkMkgxtDEsMKgwJC+cLyQutC5ILdQtVCzcLHgsLCvoK5wrQCrYKmwqCCnAKZApcClQKSgo/CjcKMgotCicKIgoiCiYKKQomChwKDwoFCf4J9QnnCdUJxgm9CbgJsgmmCZYJggluCVkJQwkqCQwI6wjJCKcIhwhpCEkIJwgDB+EHxAepB48HcQdRBzIHFAb5Bt4GxQauBpoGigZ9BnMGbAZlBlgGQgYmBg0GAQYHBhoGKwYuBhoF7gWyBXEFNAUCBNsEugSYBG8EQAQPA+MDvQObA3YDTgMmAwAC3QK5ApICbAJHAicCBgHjAbwBlAFwAU0BKQEAANAAngBtAD4AEP/j/7X/if9e/zb/Ef7u/sj+nv5v/j/+D/3j/bn9j/1l/Tv9D/zh/K38ePxF/Bn78PvF+5X7YPsr+vn6yvqc+m36PfoN+d/5svmG+V35M/kF+NL4nfhr+D74Fffs98L3lvdr90L3Gvbx9sj2oPZ59lP2LPYE9dv1tvWU9Xf1XvVF9Sr1CvTn9ML0oPSD9Gj0TfQv9BHz+PPk89DzuPOb84DzbPNg81jzS/M58yPzEfME8vzy9fLs8uHy1PLE8rPyoPKQ8oLyePJw8mnyYfJZ8lPyUPJO8k3yTvJP8lDyUPJP8k3yS/JL8kzyTfJO8k7yTfJO8lLyWfJj8m7yefKE8o7ylfKa8p3yovKr8rbywfLK8tHy2PLk8vbzCvMf8zDzPfNH81LzXvNt83/zk/Oo87vzzPPc8+70A/QZ9Cv0OvRJ9Fz0dPSM9KD0r/S+9NP07fUG9Rr1KPU29Ur1ZfWE9aP1wvXl9gz2NPZZ9nn2lfaw9sr24/b89xj3O/dj9473uvfm+BX4R/h6+Kn40/j5+SH5Tfl8+ar50fnw+gr6JfpE+mf6i/qw+tf7BPs7+3z7xfwV/HD82P1L/cH+L/6L/tL/DP9A/3T/p//T//UADgAkADwAVABlAGwAaABhAF0AZAB7AKAAzADtAO8AwQBqAAH/p/9z/2f/dv+P/6n/x//sABkASgB4AJwAtADGANsA+gEiAUsBaAF2AXoBfwGLAZ0BrwHAAdAB4AHxAgICFQIqAj4CTAJPAkoCRgJNAl4CcAJ8AoQCjwKkAsAC3QL4AxQDMgNPA2UDeAOYA88EHARnBJ0EvQTbBQ4FVgWhBdMF3wXRBcAFwAXeBhgGaQbEBx0HagepB98IEQg+CGEIdAh3CHAIZQhZCE4IRghDCEQITAhbCHMIkAisCL0IvgiwCJoIgwhvCGMIZgh9CKoI5QkaCTEJFwjFCEcHuwdNByEHRgelCBEIWAhiCDQH8QfBB70H5wgoCGIIggiHCH4IcwhmCE8IKQf5B8oHpQeAB1MHGgbeBqwGhwZpBkUGFQXaBZYFUAULBNAEpQSIBHEEWAQ7BCEEEgQJA/0D4gO6A4wDYQM+AyQDFgMPAwgC9QLVArcCugLvA0kDngPDA6MDUgL0AqcCcwJPAjMCHQIPAgYB+wHrAdcBxQG6AbABoAGKAXEBWQFEATIBIgEVAQwBBQD8APEA5gDgAOAA4gDfANIAvQCiAIcAbgBYAEcAOQAuACIAEwAC/+//3P/I/7L/nP+F/27/WP9B/yj/Df7v/tD+sf6U/nf+WP41/g795v3B/aL9iP1v/Vb9O/0j/Q38/Pzs/N/80vzF/Lf8p/yY/In8fPxx/Gn8Y/xd/Fb8TPw+/C/8HvwM+/r76/vf+9j70vvK+8L7uvu1+6/7qPud+5H7iPuC+337dvtu+2f7ZPtj+2P7YPtb+1T7TvtI+0L7PPs4+zb7NPsy+zH7MPsw+y77K/sn+yL7HfsX+xH7DPsJ+wj7B/sF+wP7A/sG+wr7D/sW+x77J/sv+zT7Nfsz+zL7Mvsy+zD7Lfsu+zL7Nvs3+zX7Mvsy+zX7Ofs7+zn7Nvs2+zf7N/s1+zH7Lvss+yn7JPsc+xT7DfsG+v/69/rv+uv66vrt+vD68vry+vP69Pr3+vv7AfsI+w/7F/sf+yf7Lvs2+z/7SvtU+177Zftr+3L7efuC+4r7kPuX+5/7p/uw+7f7v/vJ+9X74fvr+/D78vv0+/b7+vv9/AD8A/wF/Af8CPwK/A/8Gfwl/C/8Nvw6/D78RPxL/FX8Yfxu/Hv8ifyX/KX8tvzH/Nf85vzx/Pn8/v0B/QX9Cf0P/RP9Gf0h/S39PP1N/Vz9aP1y/X39iP2X/an9wf3e/fz+GP4w/kX+V/5n/nX+gf6M/pr+qv65/sf+1f7k/vb/Bf8S/xr/I/8w/0H/Tv9W/1j/Wv9h/2z/eP+D/4z/lf+d/6X/rf+1/7//yv/U/9v/4v/r//oACwAbACYAKwAvADUAQABRAGgAhACkAMUA5AEDASEBQgFkAYMBoAG7AdgB+AIZAjYCUQJsAogCpwLGAuUDBAMmA0kDawOJA6YDxAPjA/4EEgQgBCoEMQQpBA0D4AO7A7cD4gQxBI4E6gVIBa4GHgaLBusHQgeeCA0Iigj9CVAJdglwCUcJBwi+CHsISQgnCAgH4ge2B4sHZgdHBycHAwbeBrwGngZ8BlMGJgX8BdkFuwWfBYYFcwVqBWcFZAVcBVQFUQVWBV4FZAVlBWIFXgVXBUsFNgUZBPkE4gTZBOEE8QUCBQ0FEwUYBRoFEwT+BNwEtASMBGEELAPnA5UDOwLbAnIB/wGJASIA1gCoAIwAdABYADYAEf/t/8r/pv+A/1z/O/8g/wn+9P7e/sf+sP6a/ob+c/5g/k7+Pv4v/iD+D/3+/fH95/3b/cv9t/2l/Zr9kf2F/XH9XP1M/UT9P/01/Sn9H/0e/SX9K/0t/S39Mf07/Un9Vf1g/Wv9d/2E/Y/9mP2k/bT9yf3f/fX+Dv4s/k3+av6A/pD+o/68/tv++/8Z/zX/Vv99/6r/2AAEAC8AXACNAMAA8QEfAUkBcQGdAdACCgJHAoICtwLlAwwDMwNbA4QDrQPUA/kEHgRGBG4ElgS9BOIFBwUuBVUFfQWjBcgF6wYMBiwGSgZpBooGqwbKBuYHAAcaBzQHTAdiB3UHigejB8EH3wf6CBEIJgg9CFcIcAiGCJgIpwi4CM0I5Aj6CQ4JHgkqCS8JLgklCRcJCwkFCQUJBwkFCQII/wj/CQAI/Qj1COoI4QjcCNgI0AjDCLgIsgizCLIIqgicCJMIlQigCKgInQh9CFMINQgvCDwIRQg4CA0H0geeB38HcwdwB2oHWwdGBy8HGQcFBvEG3wbRBscGwQa+BrwGuAayBqoGogabBqQGqga1BsIG0QbeBuwG/AcRBywHRwdeB2wHdgd/B4sHmAekB68Htwe/B8QHyQfQB9wH7wgCCBQIJQg7CFgIeAiVCKwIxAjkCQ0JNQlTCWkJgAmdCbsJzwnZCeQJ/AoiCkIKSwpCCjwKTwp3CpcKlAprCjsKJAo0Cl4KiQqmCrQKuwrCCsoK0grfCvQLEgszC1ALZAtrC2oLYwteC18LZgtuC3QLdgt5C4ALiwuUC5gLmgugC60LvQvIC8wL0wvrDBkMWwyiDOENEQ03DVUNbA15DXkNbg1cDUkNNg0lDRQNBAz3DOwM5QzhDN4M2QzLDLMMlQx8DHYMiwy2DOYNCQ0RDQUM9QzuDPIM9gzvDN0MzAzGDMoMzAzFDLgMswy9DNIM5QzsDO0M8w0CDRcNKg09DVcNfA2nDdAN9A4aDkYOdA6eDr4O3g8DDywPTw9lD3UPjg+1D9sP7w/wD+4P/xAkEEkQXBBeEF8QbhCFEJQQlhCWEKEQthDDELYQlBBuEFMQQRAsEBAP9Q/kD9wP0Q+8D6QPlQ+QD4cPaw88DwsO6Q7XDskOsg6ODmgOQg4bDewNtQ1+DVANKw0KDOYMwwyhDIMMZAxCDB0L+gvbC8ALpAuHC2sLUws/CysLFQr6Ct0KwQqoCpYKiQqACncKbQpjClwKVwpTCk8KSwpICkgKRQo9CjAKIwoYChAKBwn5CeoJ3gnXCdMJzQnDCbUJpgmWCYMJbAlQCTEJEAjwCM8IsAiSCHQIVAgyCBAH8AfTB7cHmwd9B18HQwcoBwwG8gbaBsUGtgaqBqEGmAaMBnkGYAZFBjMGMAY6BksGVQZOBjIGBgXPBZcFZAU5BRQE8ATIBJwEbQRCBBsD+APTA6oDfwNXAzQDFQLzAs8CqQKEAmMCQQIcAfUBzwGtAYwBZwE6AQcA0wCiAHYASwAg//T/yP+f/3n/Vv80/w/+5f61/oP+Uf4i/fX9yv2h/Xj9TP0c/Oj8tPyE/Ff8LPv9+8z7mfto+zn7Cvrb+qv6fPpP+iP59vnL+aD5dflF+RH42/ip+H74WPgx+Ab32fes94H3V/ct9wT22/a09o32ZfY89hT17/XO9bH1l/WA9Wf1SvUn9QD02/S99KP0ifRs9E30MPQY9ALz5/PI86zzmfOP84jze/Nm803zOPMq8x/zFfMJ8v3y7/Lg8s/yu/Kq8p7ymPKS8ovygPJ18mzyZvJl8mbyafJs8m7ybPJp8mXyY/Jl8mjya/Js8mzybvJy8nfye/KA8ofykfKb8qTyqvKv8rbyv/LJ8tLy2fLf8ufy8fL98wvzGvMq8zrzSvNY82TzcfOB85PzqPO+89Hz4fPv8/z0DPQe9DH0RPRY9G30hfSb9K30u/TJ9Nr08fUI9Rz1LPU99VX1dPWV9bb11PXy9hL2MvZR9m72ivan9sb25PcD9yT3Svd296T30ff9+Cn4WPiH+LP42vj9+R/5Q/lq+ZL5ufnc+fv6FPop+j36Vvp3+qD6zfr6+yT7UfuK+9b8OPyt/Sr9pP4T/nX+zf8g/2j/oP+//8n/y//R/+P/+gAOABoAIQAqADUAQABPAGcAjgC8ANYAwABwAAD/l/9Y/0f/VP9m/3b/iP+o/9cADAA6AFsAcgCGAKEAxQDuARIBKQEyATUBOwFJAVsBbQF8AYoBmAGnAbUBxQHZAe8CAgILAgoCCQIOAhsCKQIzAjsCSgJjAoMCoQK7AtUC8QMOAyYDPANeA5cD4wQuBGIEfgSVBL4E/wVHBXoFiwWABXEFcgWRBcwGHAZ1BssHFQdSB4gHuAfjCAMIGAghCCQIIQgYCAsH/wf6B/8IDQgjCDsIUwhjCGAIRwgbB+oHwAehB4wHfQd4B4QHpAfPB/EH8wfHB3YHHAbjBukHMwejCAkIPQgyB/wHwgenB7cH5ggcCEIIUAhMCEMIPAgyCBsH9gfHB5kHbwdDBxIG2waoBoAGYAZABhMF2AWTBUoFAwTBBIsEZARKBDQEGwP+A+UD1APGA7EDkANlAz0DGwL/AuUC0QLEAr0CswKfAocCgAKdAtkDGQM7AzMDDwLoAskCqgJ7AjoB9gHFAbABsAG0Aa8BogGQAYABcAFhAVEBPgEpARMA/QDrAOAA2QDTAMoAwQC7ALkAugC3AKwAmgCDAGoAUwA+AC0AIAAVAAr//f/q/9X/wP+s/5r/iv95/2f/U/88/yP/CP7q/sz+rv6S/nb+V/41/g795/3D/aP9hv1r/U79Mv0X/P786vza/Mz8wPyy/KP8kvyB/HH8YvxW/E38Rvw//Df8Lvwl/B38FfwJ+/n76PvZ+837xfu9+7T7rPum+6D7mvuR+4b7e/ty+2r7Yvta+1X7U/tU+1T7UvtP+0r7RftA+zv7Nvsz+zH7MPsu+yz7KPsl+yL7HvsZ+xT7EPsL+wj7B/sH+wb7Avr8+vb69Pr1+vr7AfsJ+xL7Hfsn+y37MPsw+zH7Mvsz+zH7Lvsu+zL7N/s6+zn7N/s2+zj7O/s9+zz7Ofs2+zX7M/sx+y77K/sm+x/7FvsP+wr7B/sD+vz69Prt+uv67Pru+u/68fr0+vr6//sD+wT7BvsK+xD7GPsh+yn7MPs4+0H7TPtX+2L7a/t0+337hvuM+5L7l/ud+6X7rPux+7X7vPvH+9b74/vq++z77fvw+/X7+fv6+/r7/Pv//AP8BvwK/A/8Gfwk/Cz8Mvw1/Dr8QfxL/Fb8Yvxv/H78jvyf/K78vPzJ/Nf85Pzu/Pb8+vz9/QH9Bf0L/RL9Gf0j/S79O/1I/VT9X/1r/Xj9h/2X/aj9vv3Z/ff+Ff4w/kj+XP5t/nv+iP6V/qT+tP7C/s7+2v7p/vv/Dv8d/yj/Mf89/0v/WP9h/2f/bP9z/3v/g/+L/5P/nf+o/7D/tv+7/8L/zP/W/9//5//x//4ADAAXAB8AJQArADQAQQBTAGsAiACoAMoA6wEJAScBRQFkAYMBogHCAeICAAIbAjUCUAJtAo0CrQLMAusDCwMvA1IDcgOPA6wDzgPwBA0EIgQwBDsEQQQ3BBYD5gO+A7sD5QQxBIgE3gU3BZ4GEwaLBvoHXQfACC4IogkHCUsJYwlWCS4I9Qi4CH8IVgg9CC0IGQf6B9IHpQd7B1QHLwcNBusGxwagBnQGSAYdBfcF0wWzBZcFhAV6BXUFbQVfBUsFOgUyBTQFPgVKBVQFWwVgBWEFWwVLBTMFGAUFBP8FAwUNBRYFHQUgBRsFCwTwBNAErgSMBF8EIAPPA3IDDwKmAjUBvwFOAPQAtwCTAHgAXgBBACUACv/t/8r/ov95/1X/OP8g/wz+9/7g/sj+sP6b/of+dP5g/k3+O/4q/hr+Cv37/e794f3Q/bz9p/2W/Yz9hP14/Wb9Uv1F/T79Ov0y/Sb9HP0Z/R39I/0m/Sn9Mf09/Ur9VP1e/Wn9ef2J/Zf9o/2x/cT92/3y/gj+H/48/lv+d/6N/p/+s/7N/uv/CP8i/zz/Wv9//6j/0//+ACoAWACKALsA6wEZAUYBcQGeAc8CBgJBAnwCsALdAwUDLwNcA4kDtAPZA/0EIgRLBHcEoQTIBO8FFgVABWoFkwW5Bd0F/gYbBjUGTgZqBooGqwbLBugHBgckB0AHWQdtB4IHnAe7B90H/AgWCC0IRAhcCHUIiwieCLAIwQjSCOMI9QkHCRkJKAk0CTkJOAkxCScJHwkcCRwJHQkbCRcJFQkWCRcJEgkJCP4I+gj6CPkI7gjaCMgIvwi/CL4ItAiiCJUIlwikCKsInwiBCGUIYAh5CKEIugiuCHkILQfhB6kHhwd0B2kHXQdQB0EHMgchBw4G/AbrBt8G2QbXBtQGzQbCBrQGqAajBrsGvwbFBs0G2gbrBvwHDQccBy0HPwdSB2MHcweAB4oHkgeYB58HqQe2B78HxgfMB9YH6Af+CBMIJgg7CFUIdgiXCLYI1wj8CSYJTQlrCYAJlQmvCcsJ4AnrCfMKBQomCkoKZApsCmkKYwpbCk0KOAomCiQKPApkCooKoAqoCqwKuArOCucK/wsXCy8LSQthC3ELdwt1C2sLYQtbC18Lawt4C38Lfgt5C3kLfwuLC5cLoQurC7cLwgvNC9gL6gwODEYMigzPDQoNNw1aDXcNjQ2bDZsNjg15DWINUA1DDTgNKw0YDQUM9wzxDPMM9AzpDM8MrwyWDJYMtAzoDR0NQQ1KDT0NKw0eDRgNEg0FDPIM4wzeDOEM4wzdDNUM1QziDPkNDA0ZDSENLg1ADVUNaA18DZcNvA3lDgwOLw5VDoEOrg7UDvQPFA86D2MPhQ+dD7QP1Q//ECIQLxAoECQQOBBfEIQQlBCSEJEQoRC5EMUQvBCoEJwQnhChEJcQfBBbEEEQLhAbEAUP8g/mD94P0w/CD7EPpw+hD5MPdA9IDyIPCg7+Du8O0g6rDoIOXA4zDgMNzg2dDXcNWQ08DRoM+AzYDLoMmwx3DFAMLAwMC+8L0QuzC5cLgAtsC1gLQAslCwgK7grWCsMKtAqoCp0KkgqICoAKewp5CnYKcwpuCmcKXApOCj4KMAolCh0KEwoHCfwJ9QnyCe8J6QngCdYJzAm/CawJkgl0CVUJNwkbCP8I4gjECKcIiAhmCEMIIAgAB+EHxAepB44HcwdXBzoHHgcFBvEG4wbXBswGvgasBpYGfwZsBmIGZQZwBnsGewZrBksGHwXvBb8FkwVrBUMFGwTxBMYEngR5BFcEMgQIA9wDsQOMA20DUAMwAwwC5gLBAp4CegJUAi4CDAHsAcoBoAFuATcBAwDWAK8AigBkADsAE//r/8b/of97/1T/Kv77/sj+lf5j/jX+C/3i/bj9iv1Y/ST88/zE/Jf8aPw2/AX71vup+3v7SvsY+ub6ufqO+mP6NfoH+dr5rvl++Uz5GPjo+L74l/hv+EP4FPfm97v3kfdo90D3GPbx9sj2nvZ09k32KfYJ9ez10vW59aD1g/Vf9Tf1EfTy9Nj0v/Si9IP0Z/RQ9Dn0HvP+8+DzyvO+87TzpfOO83TzX/NQ80TzOPMo8xjzCfL78uvy2fLK8sDyuvK18q7ypPKa8pHyivKG8oXyhvKK8o3yjPKI8oLygfKE8onyivKJ8ojyivKP8pPylfKX8pzypfKw8rrywPLF8s3y2fLk8uvy7/Lz8vvzB/MT8x7zKPM080PzVPNk83PzgfOR86PzuPPO8+Pz9PQB9A30GfQp9D30U/Rq9IH0lvSq9Lv0yPTW9Ob0+vUP9SP1NfVK9WX1hvWp9cj14vX59hD2KvZG9mT2hPam9sr27/cT9zf3X/eK97j35fgR+Dr4Y/iM+LP42Pj6+Rz5PPle+YH5qPnQ+fP6CvoU+hj6JPpB+m36n/rK+uv7C/s1+3H7w/wm/Jf9Ev2V/hr+mf8H/1r/i/+a/5T/i/+O/5//tf/J/9n/6wAEAB0ALwA4AEUAZACQAKwAlwBH/9X/cP84/y7/Ov9E/0r/WP93/6b/1v/7ABUALQBKAG8AlQC3ANAA3wDoAO8A+QEIARoBKwE8AUwBXAFrAXcBgwGSAaUBuAHFAcoBzAHRAdsB6AH1AgECEwItAksCaAKCAp4CvwLgAvwDEwMuA1sDmQPZBAsEKgRFBG0EpgTiBQ4FHQUYBRMFIAVKBY0F4QY6BowG0AcHBzQHWwd8B5YHqge7B8kH0QfQB8cHvge9B8UH0gfiB/QICAgWCBIH7getB2AHGgbjBrYGigZfBj8GOwZYBosGvgbcBuAG2AbcBwAHRgeYB9gH7QfWB6oHiQeJB6sH3ggKCCAIIggZCA8IBwf5B98HtweIB1sHMAcDBtIGoAZ0BlIGMgYKBdMFjwVFBPwEuAR8BEwEKQQQA/cD3AO+A6UDkgN/A2QDPgMUAvIC2gLIArICmgKFAnsCdwJzAmoCYwJmAnICfAJ7AnYCfAKVArICtwKJAiwBwQFuAUwBUgFqAXoBeQFqAVYBQwEzASQBFQEDAOwA1AC+AK8ApgChAJwAlQCQAI0AjACJAH8AbgBaAEYANAAkABYACP/9//L/5v/X/8T/rv+X/4P/cf9h/1L/Qv8w/xz/A/7n/sr+rP6Q/nT+Vv41/hL97f3K/an9iv1r/Uz9Lf0O/PH81/zD/LX8qvye/I/8ffxq/Fn8TPxB/Dj8L/wl/Br8EPwK/An8CvwG+/z77Pva+8r7vvu0+6r7ofuZ+5T7kPuJ+4D7dPtn+1z7UvtK+0X7Q/tC+0L7QftA+z77O/s3+zP7Lvsq+yj7Jfsj+x/7G/sW+xD7C/sH+wT7A/sC+wH7APsB+wD6/fr4+vP68vr1+vr6/vsB+wf7D/sY+x77Ifsj+yT7J/sq+yz7Lfsv+zX7Ovs++z37Ovs5+zv7PvtB+0H7QPs++zz7Ofs3+zT7MPso+x37EvsM+wr7CfsG+v769fru+uz67vrx+vP69vr8+wT7C/sO+w37DPsP+xX7H/sp+zH7OPs9+0T7TPtV+177aPty+337hvuN+5P7mvui+6v7svu2+7n7wPvM+9r75Pvo++j76fvv+/X7+fv5+/b79/v8/AP8CPwN/BL8G/wk/Cv8L/wy/Df8QvxO/Fv8Zvxx/H78jvyf/K/8vfzI/NP83fzm/O388vz2/Pv9Af0J/RH9Gf0h/Sr9NP0//Uv9WP1o/Xv9jf2e/a/9wv3Z/fX+E/4w/kn+X/5x/oH+kf6h/rL+wv7Q/tv+5v70/wT/Fv8m/zL/Pf9I/1P/Xf9n/3H/ev+B/4b/iP+L/5D/m/+m/7D/tv+6/8D/yf/V/+D/6v/1AAAADAAVAB0AIwArADcARgBaAHMAkgCzANYA9gETAS0BRwFiAYABogHFAeUCAQIZAjMCUAJxApMCsQLMAugDCQMuA1IDcgOOA60D0AP0BBQEKwQ9BEoEUARDBB4D6QO+A7gD5AQ2BJkE/AVfBcUGMgafBwkHcAfcCE4IvAkQCT0JRAkxCRII7gjICKMIhwh3CHIIaghSCCYH7ge2B4UHXQc3Bw4G4AavBnwGSwYdBfUF0wW4BaMFkwWHBXsFbgVZBT4FIwURBREFIAU3BUoFVAVXBVoFXQVcBVIFQAUtBR8FGgUcBSAFIwUhBRYFAwTnBMkEqQSDBEwD/wOeAzMCxwJbAewBfwEdANMAogB/AGEAQwAnABL//v/m/8P/mv9z/1T/PP8n/xD++P7g/sn+s/6d/of+cv5e/kn+Nf4j/hT+Bv35/ev92/3G/bH9nP2M/YH9eP1s/Vz9S/0+/Tb9MP0o/R79F/0U/Rb9GP0a/R/9Kf04/Ub9Uf1b/Wn9fP2P/Z/9rf29/dP96/4C/hb+LP5G/mT+gv6c/rL+yP7h/v3/F/8w/0r/Z/+I/6r/zP/yABwATQB/ALIA4wEUAUQBdAGjAdMCBgI+AngCrALYAwEDKwNYA4UDrQPQA/MEGQRFBHEEmgTCBOoFFgVDBW4FlQW5BdwF/AYZBjEGSgZmBocGqgbOBvEHFgc5B1gHbweCB5cHtAfXB/oIGAgwCEYIXgh2CIwIngivCMAI0wjkCPQJBAkVCScJNglACUMJQgk+CTsJOQk3CTQJLwkoCSAJGgkXCRUJEwkOCQoJCgkNCQ0JBAj2COoI5AjgCNYIwQipCJsInwirCK4InQh/CGwIdQibCMoI5AjaCKsIZggcB9oHpweFB3AHZAdcB1IHRQc0ByIHDwb+BvIG6wboBuMG2QbLBr4Gtga2BtMG0wbSBtYG5Ab4BwwHHAcmBy4HOAdGB1gHbAd+B4oHjgeOB48HmQepB7oHxgfMB9MH4gf3CA0IIwg5CFUIeAigCMgI7gkVCTsJXwl9CZUJrQnICeIJ9woDCgsKGAoxClIKcAqACnwKaApJCisKIAoxCmAKnQrPCuUK4ArRCswK2QrzCw8LKAs9C1ILZAtxC3gLewt6C3ULbgtpC2oLcwt+C4QLgQt7C3cLfguNC50LqAuuC7QLvgvQC+sMEAxADHkMtgzyDScNUg12DZINpg2vDa0NoA2ODXsNbw1nDWENVA0+DSQNDg0EDQINAQz3DOIMyAy5DL8M3g0MDTkNVg1dDVMNQw02DS0NIw0TDQIM9QzxDPEM8QzsDOoM8Q0HDSMNPQ1QDWENdA2LDaANsg3EDdsN/A4jDksOcg6bDsYO7w8SDzAPUA92D54PwQ/cD/cQGRBAEF4QahBpEGwQgxClEL8QwhC4ELQQwxDZEOAQzRCsEJEQhhCFEIAQbhBWED8QLBAcEA0QAQ/4D+8P4g/RD8UPvw+6D6gPhg9cDzoPKA8dDwoO6Q6/DpUObg5HDhsN7Q3GDacNjg1yDVANLg0NDO0MzAymDH8MWww6DBkL9gvVC7kLpQuUC4ELaAtNCzILGQsECvEK4QrSCsUKuAqsCqIKnAqZCpgKlQqNCoEKcQpdCkoKOwoxCigKHwoWCg4KCwoKCgkKBAn9CfcJ8QnmCdMJuAmZCXsJYQlICS4JEgj0CNcIuAiXCHMITggqCAoH7AfSB7kHoQeHB2sHTgc1ByIHEwcGBvYG4QbLBrUGpQabBpkGnQaiBqMGmgaFBmQGOwYRBecFwAWYBW8FRgUcBPYE0wSyBI8EZwQ6BA8D6QPKA64DkANuA0gDIgL+AtkCswKMAmgCSQIqAgQB1AGcAWUBNwERAPEA0ACsAIYAYQA8ABf/8P/G/5v/bf88/wj+1P6j/nf+T/4m/fr9yP2U/WL9NP0H/Nn8qPx1/EX8GPvs+737iPtS+yD69PrL+qD6cfpA+hD54vmz+YP5U/km+P341fiq+Hv4Svgb9/D3yPeh93r3U/cr9wL21/at9oj2Z/ZJ9i32EPX09df1uPWU9W71SfUq9Q/09PTV9Lb0mvSE9G/0VfQ29Bbz/PPr89zzyfOx85jzg/N182jzWvNJ8zjzKPMa8wvy+/Lr8uDy2fLU8s7yx/K/8rjysfKr8qfyp/Kr8q/yrfKn8qHyoPKk8qryq/Ko8qPyo/Kn8qzyrvKw8rXyv/LL8tXy2fLc8uPy7vL68wHzA/MG8w3zGfMm8zHzO/NG81TzZfN184TzkfOg87Lzx/Pd8/P0BvQV9CH0LvQ99FD0Z/R99JH0ovSz9MP00vTh9PD1A/UX9S31Q/Vb9Xf1l/W39dH15fX39gr2JPZE9mf2jPay9tr3A/cq91D3dfea98L36/gU+Dz4YviH+Kv4z/jz+Rf5OPlW+Xb5mvnD+ej5/voD+gD6Bfod+kf6dfqa+rf61Pr7+zD7b/u4/BH8hv0b/cP+Zv7o/zv/Xv9g/1b/U/9f/3X/i/+c/6v/wf/f//0AEQAbACwAUAB8AJEAbgAR/5z/P/8W/xb/Iv8m/yX/Mv9U/4H/pv+9/87/5wAOADoAXwB3AIQAjgCaAKgAuADKAN0A8AEEARUBJQEzAT0BRgFRAWABcQF/AYYBigGQAZsBqwG9AdAB5QH9AhYCLwJLAm0ClAK6AtgC7QL/AxsDRgN5A6gDzwPyBBsESwR5BJcEowSlBK0EyAT9BUoFowX8BksGiwa7BuEG/wcYBywHPwdSB2UHcwd6B3wHfweHB5EHlgeZB6EHtAfKB88HrQdjBwEGoQZQBgcFuwVpBSUFCAUhBW0F1gY/BpcG1gcBByQHRQdiB3IHbwdaB0MHPgdXB4oHxQfyCAYIBgf8B/AH4gfLB6cHdwdFBxgG7wbGBpgGaQY8BhMF6wW9BYQFQwUABL4EgQRLBCAD/wPjA8cDpgODA2QDSwMzAxYC8gLNArECoAKSAoACaQJUAkoCTQJUAlgCUgJBAiUB/wHcAcsB3gISAk8CbgJTAgEBlwE9AQ0BBQEVASkBNQE1ASwBHAEIAPQA4QDPALwApgCSAIEAdwBxAGsAZABeAFoAWgBXAE4APwAsABsADwAG//3/8v/l/9n/zv/D/7T/oP+I/2//V/9D/zP/J/8b/w7+/f7m/sr+rf6R/nX+WP44/hb98/3Q/a39i/1r/Uz9LP0K/Oj8yfyw/J/8lPyJ/Hr8Z/xT/EL8Nfws/CT8G/wR/AX7+vv1+/X7+fv8+/j77Pvc+8v7vPuv+6L7mPuQ+4v7iPuD+3v7cPtj+1f7TftD+zv7Nfsy+zD7MPsv+y77LPsp+yT7IPsb+xf7E/sQ+w77C/sF+v/6+vr3+vj6+vr7+vr6+fr4+vj69/r1+vX6+Pr8+wD7Afr/+v77AfsG+wr7DPsO+w/7FPsZ+x77JPss+zX7PPs/+z37Ovs5+zv7PvtC+0X7R/tI+0j7RvtC+z37Nvss+yH7F/sR+w77DPsH+v/69/ry+vH68vr0+vb6+fr/+wb7C/sO+w77D/sV+x77KPsy+zr7P/tE+0n7TvtT+1r7Yftr+3X7gPuJ+5H7mvuk+677tfu6+777xPvP+9v75Pvn++j76vvw+/b7+Pv3+/X79/v9/AX8C/wP/BT8G/wk/Cz8MPw0/Dz8SPxX/GX8b/x4/IH8jvye/K78vPzI/NL82vzi/On87/z1/Pz9A/0L/RP9GP0d/ST9Lf04/Ub9Vf1m/Xn9jP2e/a/9wf3Y/fT+Ev4w/kr+X/5x/oP+lP6l/rb+xv7U/uL+7/78/wn/F/8m/zX/Q/9O/1f/X/9p/3T/f/+G/4n/if+K/5D/mv+m/7D/t/++/8b/0P/b/+j/8//+AAgAEQAZACAAKAAyAD8AUQBnAIMAoQDAAN8A/AEXATABSAFhAX0BnQG/Ad0B9wIPAisCTAJxApICrgLGAuEDAgMoA0wDbAOKA6oDzgP0BBYEMARFBFQEWARJBCED7APCA70D7ARJBMAFPAWvBhUGcAbEBxoHfQfuCGYIzgkQCSYJGQkBCO8I5wjjCNwI1wjXCNsI1wi8CIUIPAfyB7EHeQdDBwoGzwaWBmMGMwYFBd0FvQWoBZsFkAWBBW8FXAVHBS0FEgUABQIFGQU3BU0FUQVIBT8FPwVHBUwFSQU/BTUFLQUmBR4FFgUPBQYE+ATjBMUEnQRoBB4DvgNOAtoCaQH+AZkBOgDsALIAigBoAEcAJgAO//3/7//Y/7f/kv9z/1z/SP8x/xX++f7g/sr+tf6d/oX+bv5a/kb+M/4g/hD+Av31/eX90v29/an9l/2I/X39cf1k/Vb9R/05/S39Iv0Z/RP9Ef0R/RH9EP0P/RP9Hf0s/Tr9R/1U/Wb9fP2S/aX9t/3L/eL9+f4N/h7+MP5J/mj+iv6o/sP+2/7z/wv/I/88/1j/df+R/6v/xP/iAAkAOgBuAKIA1AEIAT0BcQGhAdECBAI9AncCrQLZAwADJwNQA3gDnAO+A+IECwQ3BGEEiASwBNwFCwU6BWIFgwWiBcMF5gYGBiMGQAZhBocGrwbWBv4HJgdMB2wHggeTB6gHxgfqCAwIKAhACFcIcAiICJsIqwi7CM8I5Qj5CQkJGQkrCT8JTglUCVMJUAlQCVIJVAlRCUkJPwkzCSYJGwkSCQ4JDQkQCRMJFwkYCRUJEQkPCRAJEgkNCPkI2gi/CLMIuQjDCMAIpwiHCHMIdgiMCKMIrAiiCIkIZQg3CAIHzQegB4MHcQdmB1sHTgdABzMHJgcYBwoHAAb4Bu8G5QbYBs8GzQbQBuAG3QbaBt4G6gb8Bw0HGwcmBzAHOgdEB1AHYAd0B4YHkAeRB48HlQejB7YHxAfLB9EH3AfwCAcIIQg8CF0IhgizCN8JBgkpCUsJbQmNCasJxwniCfwKEAogCiwKOwpPCmQKdgp6Cm4KVQo6Ci4KQgp7CswLFwtAC0ELJgsLCwMLDgsiCzMLQAtMC1sLagt1C30LhAuKC4wLiAt/C3cLdgt8C4MLhQuDC4ILiQuWC6ILqAupC64LvwveDAsMPQxwDKEM0g0EDTYNZQ2MDagNuA28DbgNsA2nDaANnA2ZDZINgQ1mDUUNJg0RDQcNAQz6DO4M4QzcDOQM+Q0WDTINRQ1LDUUNOg0wDScNIA0WDQsNAw0ADP8M/gz9DQMNFQ00DVkNeQ2SDacNvQ3WDe4OAQ4SDiYORA5qDpQOvQ7lDwsPLQ9MD2kPig+xD9kP/BAWECwQQxBeEHgQjBCdELIQyxDhEOgQ3RDOEMsQ2BDoEOcQ0BCuEJMQhxCFEIEQdRBjEE4QOhApEB0QFhAREAkP+Q/nD9sP1g/PD7sPlg9sD0wPOw8wDxwO+Q7ODqMOfQ5aDjYOEw31Dd0NxQ2pDYcNZA1CDR8M+gzSDKoMhwxlDEIMHAv7C+ELzwu/C6kLjAttC1ILPAsqCxkLCAr4CugK2grMCsAKuAq1CrQKsAqoCpoKhgpxCl0KTgpECjwKNAosCiYKIwoiCiAKHAoYChUKEQoICfYJ3Am/CaQJjAl0CVkJPAkdCP4I3wi+CJoIdwhUCDQIFQf6B+EHywe1B5wHggdpB1UHQwcyBxwHAwbrBtkG0QbQBtEG0QbNBsMGswacBn4GWgYzBg0F6QXEBZ4FdwVQBSwFCgTnBMEElwRsBEYEKAQNA/ID0gOsA4QDXQM5AxMC7ALGAqMCgwJhAjcCAgHLAZoBdQFZAT4BHQD3AM8AqgCGAGIAOgAO/9//rv96/0X/EP7h/rj+kv5o/jj+A/3P/aD9df1L/Rz86fy3/If8XPwv+/37xvuP+137MvsK+t/6sPp++k36HPns+b35kPln+UD5GPjq+Lj4hfhW+Cz4BPfd97X3jfdk9zv3EPbo9sT2pPaI9mz2T/Yw9hH18PXO9av1ivVs9VD1MfUP9O30z/S29J/0hPRk9EX0K/QX9ATz7vPW877zqvOb847zfvNt81zzTfNA8zHzH/MN8v/y9vLw8ury4/Lc8tTyzfLI8sTyxvLJ8szyyvLD8r3yvfLD8svyzfLJ8sPywfLE8snyzfLP8tTy3vLp8vLy9PL18vnzA/MP8xfzGvMc8yLzLfM780fzUvNf82/zf/OO85vzpvO088Xz2vPw9AX0GfQo9DX0QPRP9GL0d/SL9Jz0q/S69Mr02/Tr9Pv1DPUh9Tn1U/Vu9Yn1pfW/9dT15fX39g/2MPZW9n72o/bI9u73F/dA92X3h/em98b36vgQ+Dj4XfiB+KP4xvjq+Q/5MPlN+Wr5i/mx+dT57Pn0+fT5+voO+i76Tvpm+nr6l/rC+vb7KPtZ+5z8CPyn/Wn+Jv62/wf/Iv8f/xz/KP9C/1//df+C/43/oP+6/9H/4P/tAAoAPQByAIQAU//n/2z/FP70/vr/A/8B/vz/C/8w/1v/d/+C/4v/pf/SAAIAIwAyADcAPwBOAGEAdQCLAKIAuQDNANsA5QDtAPYBAQENARsBKgE3AUABRgFMAVgBawGDAZwBswHJAd8B9wIVAjoCYwKKAqcCugLIAtwC+wMkA1ADeAOeA8QD6QQJBCAELQQ3BEoEbgSpBPgFUgWsBfoGNwZmBooGqQbCBtcG6Qb3BwUHEAccByoHPAdOB1cHUwdLB00HYweBB4wHagcZBq4GRQXoBY4FLATHBHYEWwSGBO8FfAYOBooG4QcQBxwHEwcDBvMG5wbeBt0G7gcZB1kHngfVB/IH9gfsB90HyAepB3sHRAcNBt4GuAaTBmkGNgX+BccFlQVlBTUFAgTNBJcEYQQwBAcD5APEA6EDeQNOAycDBwLrAtACtAKaAoUCdAJiAk0CNwInAiQCKwI2AjsCMwIaAfEBvwGPAXIBdAGVAcYB7wH5Ad4BqAFlAScA9gDZANAA2ADnAPIA8ADgAMkAsQCcAIoAeABmAFcATQBFADwAMgAqACYAJwAnACEAEv/+/+z/4//g/97/2P/N/7//sf+m/5r/iP9x/1b/Ov8j/xL/B/8B/vr+8P7e/sb+qv6N/nD+VP42/hf99P3Q/av9h/1l/Uf9Kv0K/Of8w/yl/I/8gfx1/GX8Uvw9/Cv8HfwT/Az8Bfv++/X77Pvl++L75Pvn++j75PvZ+8v7u/uq+5v7j/uH+4P7gPt8+3T7avtf+1X7SvtA+zT7Kvsj+x/7Hfsc+xr7FvsS+w77CvsG+wL6//r9+v36/Pr4+vP67/ru+vD68/r1+vP68frw+vD68Prx+vL69vr7+v/6//r7+vj69vr2+vf6+Pr5+vz7AfsH+w77Fvsg+yv7M/s3+zf7Nfs1+zn7PftC+0f7S/tQ+1L7UPtK+0L7Ofsv+yb7HfsW+xD7CvsD+vz69/r1+vX69vr3+vf6+fr8+wD7AvsE+wj7EPsa+yX7L/s2+z37Q/tJ+0/7VPtY+137Yvtq+3T7f/uK+5T7nPul+637tfu6+7/7xvvO+9n74vvo++z77/vz+/X79vv1+/b7+/wD/Ar8D/wR/BT8G/wk/Cz8M/w6/EP8UPxh/G/8e/yD/Iv8lPyh/LD8v/zM/Nb83vzl/Oz88/z6/QH9Cf0R/Rb9Gf0b/SH9K/04/UX9UP1c/Wn9e/2O/aP9uf3T/fH+Ev4y/kz+YP5w/oH+kv6h/q/+vf7M/t7+7v78/wf/Ev8g/zH/Qv9R/1z/ZP9u/3n/g/+K/47/kf+W/5//qv+1/7//x//Q/9r/5f/w//sABwARABsAIgAnAC0ANQBAAFAAZAB9AJgAsgDKAOIA+gEVAS8BSQFiAX0BmgG5AdQB7QIHAiUCSQJvApACqwLFAuMDBwMtA1ADbwOOA7ED1wP8BB0EOARPBF4EXwRLBCQD9QPTA9UECQRuBPUFhwYLBnEGuAbwBzAHiQf8CHUI1wkKCQsI7wjUCM0I3Qj3CRAJJQk4CUcJRQkjCN4IgwgjB80HfgcxBuIGmwZjBjsGGAXyBckFpgWSBYkFgQVyBV0FRwU0BSAFDAT+BQMFHQU/BVQFUgU+BSkFIQUoBTMFPAU+BTwFMwUhBQkE8gTkBOEE4ATTBLEEegQuA88DYQLrAnQCBgGgAUUA9gC4AIsAawBMAC0AD//5/+v/3f/I/6r/jP92/2X/Uv83/xf++f7i/s7+uP6d/oL+a/5Z/kn+OP4l/hP+A/30/eL9zv24/aX9lf2H/Xn9a/1e/VD9Qv00/SX9GP0P/Qz9Df0P/Q/9C/0J/Qv9Ff0i/S/9Pf1N/WH9eP2Q/af9vv3W/e7+BP4U/iD+L/5F/mX+iP6q/sj+4f73/wz/If85/1b/df+R/6n/v//aAAAALwBiAJUAxwD7ATEBZgGYAckB/gI5AnUCqwLYAvwDHwNDA2cDigOvA9YEAQQsBFMEeASgBM4E/wUsBU8FawWIBaoF0AX1BhcGOgZgBosGtQbeBwUHLAdSB3IHigeeB7YH1Qf4CBkIMwhLCGQIfgiVCKUItAjHCOEI/QkUCSUJNQlJCV0JaglrCWQJXQleCWMJZglhCVcJSglACTUJKQkeCRYJFgkdCSUJJwkkCR0JGgkfCSkJMQkrCRMI8wjZCNII2QjfCNYIvAifCIkIfwh5CHEIZghfCF4IXAhJCCIH7Qe8B5kHhAd2B2kHXgdWB1IHSwc/By4HHAcNBwAG9QbqBuMG4QbiBt0G2QbbBuMG7gb3Bv4HCAcZBzAHRAdPB1IHWAdnB34HkgebB5sHnAelB7QHwgfMB9UH4gf3CBEILghOCHQIoAjPCPsJIQlCCWEJgwmlCcQJ4Qn6ChEKJwo7ClAKZAp0Cn4KfApwClsKRwpAClMKiArXCyoLZgt4C2QLQQspCycLNQtDC0gLSQtPC1wLbQt8C4cLkQuZC50LmAuKC3wLdgt7C4ULjQuRC5QLmguiC6kLqwutC7cL0Av5DCwMXwyMDLMM2w0JDT8NdQ2iDb4NyA3HDcINwA3DDcYNyA3EDbgNoA1/DVcNMQ0TDQIM+wz5DPkM+Qz6DPwNAQ0KDRYNIA0lDSINGQ0ODQcNBA0EDQUNCA0MDRINFw0fDS4NSQ1wDZkNvA3UDecN/A4YDjUOTg5hDnYOkg63DuEPBw8oD0UPYA99D50PwQ/pEBEQMxBKEFQQWhBiEHUQlBC7EOAQ+RD+EPMQ4xDcEOIQ7hDwEOIQxhCsEJwQlxCWEJAQhBB0EGEQTBA5ECwQJxAmEB8QDw/6D+wP5Q/fD8sPpg99D14PTw9GDzUPFA7oDrsOkw5xDlIOOA4hDg0N9g3ZDbgNlg1zDU4NJgz7DNMMrwyODG0MSwwtDBcMBAvuC9ALrAuJC24LXAtNCz4LLAsaCwgK+ArpCt0K1QrRCs8KywrCCrQKoQqNCnsKbApiClsKVApMCkUKQAo9CjkKNgoyCjAKLAojChMJ/QnlCc0JtgmeCYIJYwlDCSMJAwjgCL4IngiACGIIRAgmCAwH9gfiB80HtQebB4MHbAdWBz4HJAcPBwMHAQcEBwUG/gbwBt8GzAa3BpwGfAZYBjMGEQXwBc4FrAWHBWIFPQUYBPEEygSlBIQEaQRQBDMEEAPnA74DlwNyA00DJgMAAtwCuQKSAmQCMAIAAdoBwAGrAZEBbAFBARUA7ADIAKIAeQBNAB7/7f+5/4P/UP8j/vv+0/6n/nT+P/4N/eH9uf2O/V79Kvz2/Mf8m/xt/Dv8BfvQ+6D7dftL+x/68PrA+o/6Xvot+f750vmq+YX5XPkt+Pr4xviX+G34Rvge9/X3y/eh93f3Tfck9v723fa/9qT2iPZr9kv2KvYK9er1zfWx9ZL1cfVM9Sn1CPTq9M30r/SR9HT0XPRH9DH0GfP/8+fz1PPE87XzpPOR84HzcvNl81bzRPMx8yLzGPMR8wnzAPL28u3y5/Lk8uTy5fLn8ufy5PLf8tzy3vLk8uvy7vLs8ujy5/Lq8u3y8PLx8vTy+/ME8wvzDvMQ8xTzHfMo8zDzNfM48z7zSPNT817zavN384jzmPOm87LzvfPL89zz8PQG9Bv0LPQ69EX0T/Rc9G/0hPSY9Kj0t/TG9Nj06vT59Qf1F/Us9Uf1ZPWA9Zn1sPXF9dj16/YD9iP2SvZ09pr2vPbb9vz3IvdK9273jver98r37PgS+Dn4Xfh++J34vfjf+QH5IvlA+V35fPme+b/51/nj+en58voE+hr6LPo1+kD6WfqF+rn65/sN+0D7nvw5/P79w/5e/rf+2/7m/vT/EP81/1b/af9z/3z/i/+e/63/tf/C/+QAHQBUAGAAJv+z/zb+4f7E/sr+0f7M/sf+2P7+/yb/Pv9E/03/af+X/8X/4v/r/+3/8wADABcALwBIAGUAfwCQAJYAmACcAKgAuQDJANcA5ADvAPkBAgEKARYBKQFCAV8BeQGQAacBwAHfAgICJwJJAmQCeAKKAp4CuwLeAwUDKgNMA2oDhgOfA7UDyQPcA/YEHgRYBKYE/wVZBaYF4gYQBjYGWQZ5BpIGogaqBq0Gswa/BtUG8AcGBwsHAwb7BwYHKAdMB1IHJAbJBlwF9wWfBUYE5ASEBEoEUQSfBSAFsQY1BpsG2wbxBuQGwQadBoUGfgaFBpUGswblBysHdge0B9YH2wfOB7sHogeBB1IHGAbeBq4GigZoBj8GBwXFBYMFSgUdBPkE1QSrBH0ETgQjA/oD0wOoA3gDRwMZAvACzgKzApwCigJ7AmoCVAI4AhoCAwH6Af4CCAIPAgoB+gHgAcABnAF3AVYBPgE4AUkBcQGlAdIB4gHIAYQBKQDUAJ4AjQCXAKsAtgCxAKEAiwB1AF8ASwA4ACkAHwAYAA8ABP/6//T/9f/4//b/6f/V/8P/uf+5/73/vf+0/6T/kv+C/3L/YP9K/zL/Gf8E/vT+6v7k/uD+2f7L/rb+mv58/l7+Qv4o/g397/3L/aT9fP1Y/Tz9I/0I/Oj8xPyh/IX8cfxh/FH8Pvwq/Bf8B/v6+/L77Pvo++T73fvV+8/7zfvP+9P71fvR+8b7tvuj+5L7hft9+3r7d/tx+2j7XvtU+0v7Qvs4+yv7H/sV+w/7DPsI+wP6/Pr2+vH67/rt+uz66/rs+u367vrt+ur66frp+ur67Prr+uj65frk+uT65frl+ub66frt+vL69Pr0+vL67/rt+uv66/rt+vL6+fr/+wT7CfsR+xr7Ivsn+yn7K/sw+zf7PvtD+0j7TPtR+1T7U/tN+0T7PPs1+y/7KPsg+xX7C/sB+vv6+Pr4+vr6+vr6+vr6+/r7+vz6/fr/+wf7E/sg+yv7M/s5+z77RvtO+1b7Xfti+2b7a/tx+3r7hvuR+5v7ovuo+677tfu9+8P7yfvP+9j74/vt+/P79vv2+/X79Pv1+/n8AfwJ/A/8E/wV/Bf8Hfwk/C38Nvw//En8Vvxl/HP8gfyM/JX8nvyo/LT8wfzN/Nf84Pzo/O/89vz8/QL9Cf0Q/RT9Ff0Y/R79Kf02/UD9Rv1M/Vj9bf2I/aX9wP3b/fr+G/46/lP+Zf5z/oL+kv6g/qz+t/7F/tf+6v75/wT/Dv8b/y3/Qf9R/17/af91/4L/jP+S/5b/nf+o/7X/wf/L/9T/3v/p//P//AAFAA8AGwAnADEANwA9AEMATABYAGkAfgCWAK4AwwDVAOYA/AEXATQBUAFrAYYBowHBAd0B9wITAjMCVwJ7ApwCuwLcAv8DJQNIA2gDhgOoA8wD8AQQBCwERgRdBGsEZwRPBCsEBwP1BAIEOwSjBTEFzwZcBsAG+AcaB0cHlggFCHwI1Qj7CPEIzwi1CLUI0Aj4CSEJRglpCYQJiQloCR0ItwhLB+YHhgcmBsgGdwZCBiUGDwXvBcMFmQV/BXYFcQVlBVEFOwUpBRkFCAT9BQEFGQU6BVIFUgU+BScFGgUZBR8FJwUtBS4FJAUJBOAEugSnBKcErQSjBHkEMAPQA2QC8gKAAhEBqwFPAP8AvACKAGYATAAzABf//f/p/9r/zP+3/57/hv91/2b/Uv81/xT++P7k/tP+vf6h/oX+cP5i/lX+Rf4y/h/+D/3//ez91f2+/ar9mv2K/Xr9af1Y/Ur9PP0u/SD9E/0M/Qr9Cv0J/Qb9Av0B/QX9D/0b/Sn9N/1H/Vz9c/2M/aT9vP3X/fD+Bf4T/h/+Lf5C/l/+f/6g/r/+2v7w/wL/FP8o/0T/Zv+I/6b/wv/gAAYAMwBkAJQAxQD4AS4BYwGVAccB/AI2AnECpgLRAvUDFwM5A10DggOpA9ID/gQnBEwEbwSXBMQE9AUeBT8FWwV7BaMFzgX3BhwGQQZpBpQGvQbiBwUHKQdPB3MHkQesB8kH6ggMCCoIQghZCHEIiQidCKsIuQjQCPAJEgkuCUEJUQliCXMJfQl6CW8JZglnCW0JbwlqCWAJVglRCU0JRQk6CTEJLwk1CTwJPQk2CSsJJAknCTAJNgkuCRcI+wjoCOMI6AjqCOAIzgi7CKwIngiKCHIIYwhkCHIIeghoCDoH/wfNB60HngeTB4cHfgd5B3gHcgdjB0wHNQcjBxUHCQb9BvIG6gbjBscGxQbQBuQG9Qb6BvcG+gcOBzAHUQdiB2EHXAdkB3oHkwejB6gHqAeuB7sHygfZB+gH+wgUCDIIUQhxCJcIwgjwCRoJPwlhCYIJpAnFCeEJ+AoNCiMKOwpVCm0KgQqNCo0KggpwCmAKXQpvCpoK2QsgC1sLdwtvC08LMAskCy0LQAtNC08LTQtSC18LcguAC4oLkAuUC5ULjwuEC3oLeAuAC40LmAufC6QLqQuvC7QLuQvBC9IL7wwXDEMMbgyTDLcM3w0RDUwNhw23DdIN2Q3TDc0NzQ3UDdkN2Q3PDbsNnw17DVMNKw0KDPcM8gz4DQENCQ0KDQQM/Az4DPsNAQ0FDQAM9AzmDN4M3gzmDPMNBA0XDSsNPg1SDWkNiQ2xDdkN+g4ODh4OMg5QDnQOlQ6vDsYO4Q8EDykPSQ9hD3UPjQ+sD9AP9hAcEEIQYxB5EH4QdBBrEHUQmRDNEPkRCRD9EOUQ2hDlEPsRBxD6ENgQtRCiEKAQoxChEJYQiRB8EG8QXRBJEDkQMxAxECoQGBACD/MP8A/uD98Pvw+ZD30Pcg9vD2MPRA8WDuIOsg6LDmwOVg5EDjIOHA3/Dd8NvQ2aDXUNSw0gDPgM1Qy3DJoMfgxmDFAMOgwcC/YLzgusC5ULhgt4C2YLUgs8CygLFgsGCvoK8grvCuwK5wrdCs8KvwqtCpwKjwqFCn4KeApxCmsKZQpgClsKVQpQCkoKQwo6Ci0KGwoHCfMJ3gnGCasJjQluCU0JKgkGCOMIxQirCJIIdghYCDwIJQgSB/4H5QfHB6gHjAd0B14HSgc8BzcHNwc4BzMHJgcTBv8G7AbZBsIGpAaBBl0GPAYdBf8F3gW5BZIFawVHBSQFBATkBMcEqgSOBG4ESgQhA/cDzwOpA4QDYAM6AxMC6wLAApICZgJAAiUCEQH8Ad4BtgGHAVoBMAEIAN4AsgCEAFYAJ//3/8X/lf9q/0H/F/7o/rT+gP5Q/ib9/v3R/Z/9af02/Qb82Pyq/Hn8RvwV++X7t/uJ+1r7Kvr7+sz6nfpu+kD6Ffnt+cX5mvlp+TX5AvjU+Kv4hPhe+DX4C/fg97b3jPdi9zn3FPb19tr2wPaj9oT2YfZA9iL2B/Xr9c31q/WH9WT1QvUh9P/03/TD9Kr0lfR+9GP0RPQm9A7z+/Pt893zy/O386TzlPOG83fzZvNV80fzPfM28y3zIvMW8w3zCvML8wzzC/MH8wPzAPMB8wPzB/ML8w7zD/MP8w/zD/MQ8xLzEvMS8xTzGfMg8ybzKvMt8zLzOfNB80jzTfNT81rzZPNt83bzf/OM85vzqvO588Xz0fPf8/D0BfQa9C70P/RM9Fb0YPRt9ID0lPSo9Lj0xvTW9Oj0+fUH9RT1I/U69Vb1dPWO9aT1uPXM9eP1/PYa9j72ZvaN9q/2zPbn9wX3J/dK92v3ifep98v38fgX+Dr4W/h4+JX4s/jT+PT5FPk0+VP5cfmQ+a35wvnP+db54Pnw+gL6D/oT+hj6KvpQ+oL6sfrY+wP7UPvP/Hz9NP3T/kT+if62/uH/D/87/1v/av9u/3L/fv+P/53/p/+z/8//+QAcABb/0/9g/uj+mP59/oL+i/6K/or+mv67/t/+9v8B/xH/MP9d/4f/n/+m/6f/rf+6/83/5QADACMAPgBMAE0ATABUAGcAfwCRAJoAoACpALYAwwDOANkA6QEBAR0BOgFWAXABiwGoAccB5QIAAhkCMAJFAl0CeQKbAsAC5QMFAyADNwNPA2cDgQOaA7cD3gQYBGUEwAUaBWUFnQXFBegGCwYtBkkGWQZdBlwGYAZvBokGpAazBrEGqAatBtEHCgc3BzQG9AaJBhgFugVtBSAEzgSNBIAEuwUwBbkGLgZ+BqkGuAaxBpUGbgZKBjcGOwZPBm0GlQbLBw0HUgeIB6QHpQeUB34HZwdKByAG6gawBn4GVwY2Bg8F2gWYBVYFIAT5BNsEuwSVBGsEQwQeA/cDxgOJA0gDDgLhAsACpgKNAnkCagJeAk0CMAIKAeUBzgHLAdYB4gHhAdEBtQGYAYEBbwFcAUABGgD3AO0BCwFSAagB5wHyAcABZQEDALMAhABwAG0AcAByAHEAaABYAD8AJAAL//n/7v/o/+H/1//N/8X/wv/F/8X/vv+v/57/lP+U/5r/nf+X/4f/cv9b/0X/MP8a/wX+8v7i/tT+yv7D/r7+uf6u/pv+gP5g/kD+JP4O/fr94v3C/Zr9b/1J/Sv9Fv0B/Of8xfyg/H/8ZfxQ/D78LPwZ/Ab79Pvl+9r71PvQ+877yvvE+737uvu7+8D7xPvE+7z7rfub+4n7fPt0+2/7avti+1f7TPtD+zv7NPsr+yD7FPsK+wL6/Pr2+u/65vre+tn61vrW+tb61/rX+tj62fra+tz63vrh+uL64Prc+tf60/rS+tL60frR+tL61vrc+uL65vrp+ur66vro+uX65frp+vD6+fsA+wP7BfsJ+w77FPsY+xv7IPsp+zT7PftD+0X7R/tK+037TvtL+0f7Q/tB+z37OPsv+yL7FPsI+wH6//r/+wD6//r++v76/vr/+wD7AvsG+w/7G/sn+zH7OPs++0X7TftW+177Zftq+2/7c/t6+4P7jvuZ+6L7qPus+7L7u/vE+8v70fvW+9776fvz+/n7+vv4+/X79fv5+//8BfwM/BL8F/wb/B/8I/wp/DD8OvxE/E/8Wvxm/HP8gPyN/Jn8ovyr/LP8vPzF/ND82/zm/O/89fz4/Pv9AP0F/Qn9C/0N/RP9Hv0r/TX9O/1G/Vv9ff2l/cv95/3+/hX+L/5J/l7+bf55/ob+lf6k/rD+uv7H/tj+6v75/wP/Df8a/yv/Pf9L/1f/Y/9x/4D/i/+R/5X/nf+q/7j/xP/O/9j/5P/x//wAAwAJABEAHQArADcAQQBKAFQAYABuAH8AkwCpAMAA0wDlAPcBDgEqAUgBZAF/AZsBuwHcAfsCGAI1AlUCeQKcAr0C3wMEAysDUANvA4sDqQPMA/AEDwQmBDwEVARrBHgEcARVBDUEIAQgBDsEeATeBWoGCAaVBvUHIwc3B1gHnwgICHYIxQjiCNYIuAilCKkIwgjlCQkJLwlYCYAJlQmDCUQI5Ah6CBcHuAdWBvAGlgZWBjIGGQX1BcMFkAVvBWUFYwVcBUkFMwUeBQwE/ATwBPMFCQUqBUYFTwVEBTIFIQUVBQ0FCQUKBQsFAQTkBLYEiQRwBGwEawRVBBsDwANUAuYCewIUAbMBWgEMAMoAlABrAE0ANgAgAAj/8P/d/83/vf+p/5L/fv9u/1//Sv8t/w/+9/7m/tb+w/6q/pL+gf51/mj+V/5D/jH+Iv4T/gD96P3P/bn9p/2X/YX9cf1c/Un9Of0p/Rv9EP0K/Qf9A/z+/Pj89Pz2/P79Cf0V/SH9MP1C/Vf9bv2F/Zz9tf3O/ef9/f4P/h7+MP5F/l7+ef6W/rT+0P7p/v3/Df8f/zr/XP+D/6j/yv/sABIAPQBsAJsAzAD/ATQBaQGcAc0CAQI3Am0CoALMAvIDFwM7A2ADhgOtA9cEAgQpBE4EcQSYBMIE7QUUBTUFVgV+Ba0F3QYIBi4GUgZ5BqIGyAbpBwkHLQdUB3wHoAfAB+EIAwgjCD4IUwhoCH0IkgiiCK4IvQjWCPoJIQlBCVYJZgl1CYIJiAmDCXgJcAlxCXcJegl3CXAJawlqCWkJZAlbCVEJTQlOCVEJUAlICTsJMgkvCTAJLwklCRII/QjvCOsI7AjrCOQI2wjTCMsIvgiqCJgIkgibCKkIowh9CD4H/wfVB8QHvwe4B60HogebB5YHigd1B1wHRgc1BycHGAcGBvQG4gbSBqcGpwa8BuIHCgcfByAHHAclB0EHYQd0B3QHbgdyB4QHnAetB7UHugfEB9UH5wf5CAsIIwg/CF4IewiZCLsI4wkNCTYJWgl9CaAJwgngCfcKCgoeCjcKUwpsCn4KiQqMCokKggp+CoIKlQq4CugLHAtJC2ILZAtQCzULIQseCywLPgtKC04LTwtWC2QLcwt8C34LfQt7C3oLeAt4C3kLgAuMC5gLogupC68LtQu7C8MLzgveC/QMEAwwDFIMcwyWDL0M6g0hDV8NnA3MDeYN6g3hDdYN0g3TDdINyg25DaMNiA1oDUQNHwz+DOsM5wzwDP0NBg0GDP8M9QzvDPEM9wz5DPIM4wzRDMcMyAzUDOgNBA0kDUcNaQ2HDaQNxA3qDhAOLw5EDlUOaw6NDrYO3A76DxIPLQ9ND2wPhA+VD6YPvw/iEAgQKRBGEGYQiBCkEKwQnRCJEIoQqxDgEQkRDRDwENEQzhDtERQRIBEEENIQqBCaEKIQqhCjEJIQgRB5EHQQahBaEEoQQRA7EDAQGhAED/gP+xAAD/gP3g+7D6MPnA+fD5gPew9KDw8O1w6pDocOcA5fDk8OOg4fDf8N3A25DZMNbA1EDR8M/gziDMgMsQybDIQMaAxGDB8L+wvfC8oLugunC5ELeAtgC0oLNQsjCxcLEAsOCwsLBAr5CusK2wrLCrwKsAqmCqAKmwqWCpIKjQqJCoMKewpyCmgKXwpUCkgKOQooChYKAgnrCdMJuAmaCXoJVgkvCQsI7AjTCLwIowiICG0IVghCCCwIEAftB8oHrAeWB4YHfAd1B3MHcQdsB2AHTQc4ByUHEwcBBuoGzQasBooGawZNBi8GDQXnBb8FmQV4BVwFQgUmBQgE6ATHBKUEgQRZBC8EBgPfA7oDlwNxA0gDGwLvAsYCpAKLAnYCYQJFAh8B8wHHAZ0BdAFKARwA6wC6AIsAXwAzAAb/2f+u/4P/V/8n/vT+w/6V/mr+QP4R/d79qv13/Uf9F/zo/Lj8iPxX/Cf79vvE+5L7Yfsy+wT61vqq+n/6Vfor+gD50fmf+Wv5OvkN+OX4wPic+HT4Svge9/P3yPef93f3Uvcy9xf2/fbf9rz2l/Zz9lT2OvYg9gL14PW99Zr1d/VT9TD1EfT49OT00PS29JT0b/RM9DL0IfQU9Afz9fPg88rzt/On85nzifN582vzYfNa81HzRvM78zTzNPM48znzM/Mp8yDzH/Ml8yzzMfMx8zDzMPMz8zbzN/M18zPzMvM08zjzPvNE80nzTPNO81DzU/NY813zY/Nq83Lze/OF847zl/Oi87DzvvPM89nz5fPz9AP0FvQq9D/0UfRg9Gv0d/SF9Jf0qvS69Mf00/Th9PH1AvUS9SD1MfVJ9WX1gfWZ9a31wfXZ9fT2EvYz9lb2evac9rv21vbx9w73LfdK92X3gvej98n38PgV+DT4UPhs+Ir4qvjL+Oz5Dfkt+Uv5aPmD+Zr5rfm5+cD5yPnX+er5/PoF+gn6Efoq+lT6hfqz+t/7Gftz+/L8iv0m/bL+Jf6D/tP/F/9L/2z/eP92/3P/dv+E/5j/rf/A/9T/5v/o/8X/dP8D/pT+Sf4u/jP+QP5H/kz+Wf5y/pD+qf6//tn+/f8m/0f/W/9i/2b/bP93/4f/n/+9/9//+QAGAAgADAAdADkAUwBgAGIAYgBpAHkAigCXAKEArgDDAN8A/gEcATcBUgFtAYcBoAG5AdIB6QIAAhcCMgJSAnkCogLHAuUC/wMYAzMDTwNqA4YDrAPkBDEEjQTmBS8FYQWDBZ4FuwXbBfYGCAYPBhMGGwYvBkoGXwZjBlgGUQZmBqMG8gcpByEG0wZdBegFjAVFBQQEyASrBM0FMgW8BjgGggaVBoYGbgZVBjoGGwYBBfcGBAYmBlQGiAbABvoHLgdTB2IHXAdLBzgHJAcLBucGtQZ8BkYGHAX6BdkFrgV6BUQFFwT1BNYEsgSIBF8EPQQfA/kDvgNvAxwC2wKzAp4CjAJ2Al0CSAI2AiECAQHXAbEBnQGfAa0BtwGwAZcBdQFUAT8BNQEsARkA9QDMALIAuwDrATABbgGNAYcBZgE2AP4AvwCAAEoAKwAlADAAOgA1ACEAA//n/9L/xP+8/7X/rP+h/5f/kP+O/47/i/+C/3b/bf9q/27/cv9u/2D/Sv8x/xj/Af7r/tf+x/65/q3+ov6Y/pL+jf6G/nj+YP4//h7+Av3v/eD9z/20/Y79Yv05/Rr9Bfz0/N78wfyf/Hz8XvxF/DD8G/wH+/T74/vT+8f7v/u6+7f7tfuy+6/7rvuu+7D7svuy+637ovuT+4P7dftq+2L7WPtN+0D7NPsr+yX7Ifsc+xX7C/sA+vf68Prp+uL62vrS+sz6x/rE+sL6wfrA+r/6v/rC+sf6zvrU+tb61PrO+sj6w/q/+rz6uvq7+r/6xvrO+tX62frc+t763/rg+uD64frm+u769/r/+wT7B/sK+w77EPsS+xT7Gfsj+y/7Ofs++0D7QPtB+0T7R/tJ+0v7S/tL+0j7Q/s5+yz7H/sU+wz7CfsI+wj7BvsD+wH7AvsF+wn7DvsV+x77J/sw+zj7P/tG+077V/tf+2b7bPtx+3f7fPuC+4r7lPue+6f7rfuy+7n7w/vN+9X72vvf++b78Pv5+/37/Pv5+/j7+/wB/AX8CPwL/BD8GPwg/Cf8K/wv/Db8QPxL/Ff8Yfxp/HP8fvyK/JT8nfyk/Kr8sPy5/MT80vzg/Ov88fzy/PL89Pz6/P/9Af0C/QX9Df0Y/SP9MP1F/Wn9mv3O/ff+EP4e/ir+O/5P/mD+a/51/oH+kP6g/q7+uf7G/tb+5v7z/v3/B/8V/yb/NP8+/0X/Tv9c/2z/ef+A/4T/i/+W/6L/rf+3/8T/1P/j/+//9f/5AAAADAAbACsAOQBIAFgAaQB4AIkAnACzAMwA5AD6ARIBLQFLAWcBgQGbAbgB2gH9Ah4COwJaAnwCoALDAuIDAgMlA0oDbAOIA6IDwQPmBAgEIQQxBEIEWgR0BIAEdQRYBD0ENQRFBGwEqwULBY0GIwarBwQHKwc7B1kHnQf/CGEIpQi+CLcIpgieCKYIuQjPCOQJAAkqCV4JiQmQCWgJGgi9CGYIFAe8B1cG8AaYBlkGKgX4Bb4FhgVhBVQFUwVOBT0FJAULBPUE5ATaBN8E9QUYBTgFRwVCBTEFGgUDBO4E3wTaBNsE1wTCBJ0EdgRbBEsENQQEA7ADRALRAmUCBAGrAVgBDwDSAKIAewBbAEEAKQAT//z/5v/S/8H/sP+d/4j/df9k/1T/QP8n/wz+9f7k/tb+x/61/qT+lv6L/n3+av5W/kX+N/4o/hX9/f3j/cz9uv2p/Zb9gP1o/VH9O/0o/Rj9Df0G/QL8/Pz2/PD87vzy/Pr9A/0O/Rn9J/06/U/9Z/1+/Zb9rv3H/d/99/4N/iL+OP5O/mT+e/6U/rD+zv7q/wL/F/8s/0f/av+Q/7X/1//3ABsARAByAKMA1QEIATwBbwGhAdICAwI2AmoCnQLLAvUDHANDA2kDkAO4A+IEDAQ0BFoEfwSlBMwE8wUWBTkFXwWLBb0F7gYZBj8GZAaLBrIG1gb3BxkHPQdlB4wHsAfRB/EIEggxCEsIYAhzCIYImQipCLYIxwjhCQQJLAlOCWYJeQmICZMJlwmSCYkJggmCCYcJjAmNCYsJigmJCYcJggl6CXEJaglmCWMJXglWCUsJQQk5CTUJMQkoCRoJCwkACPsI+gj5CPUI8QjrCOEI0Qi9CK8IrQi1CLYInQhqCCsH+wfmB+QH5QfdB84Hwge6B7EHnweEB2kHUgc+BygHDAbvBtcGxAa0Bq8GsQbKBwIHSAd/B5QHiwd8B3cHfAeBB4EHgAeIB5oHrQe8B8YH0gfmB/0IEggjCDQISwhpCIcIowi+CNwJAgkpCU4JbgmOCbAJ0QnuCgQKFwouCkoKZgp5CoAKfgp7Cn0KhgqYCrIK0wr4Cx0LOgtMC1ILTQtDCzcLLwsuCzQLOwtDC0kLUQtcC2kLcwt1C3ILbAtoC2gLbQt1C4ALjAuXC6ELqQuxC7kLwgvLC9cL5gv7DBMMLQxGDGIMggymDNENAQ03DXQNsA3gDfsN/Q3vDd0N0Q3KDcENsw2fDYsNdg1eDUANHAz7DOUM3gzjDOwM8QzyDPAM7wzzDPoNAQ0BDPgM6QzZDNEM1AziDPkNGA0/DWoNlA24DdgN9w4aDkAOYw5/DpYOsg7WDwAPJg9ED1sPdA+PD6oPvQ/KD9wP+RAgEEQQXRBvEIUQpxDIENcQyRCwEKcQwhD0ERkRFhDxEM4QzxD2ESMRLRELENIQqBCeEKsQshClEI0QehB1EHcQdhBsEGAQVhBOED4QJRAPEAYQDRAVEA4P8w/PD7cPsw+5D7cPng9vDzUO/A7NDqkOjw58DmoOVg49Dh4N+w3XDbINjg1rDUoNLA0SDPsM5QzQDLYMlwx0DFAMMQwYDAML6wvRC7YLnAuFC24LVwtCCzQLLQsrCykLIgsWCwgK+QrqCtwK0ArHCsEKvQq6CrcKtAqwCqoKoAqVCooKgAp2CmkKWgpJCjYKIwoPCfgJ3wnDCaMJgQlbCTYJFgj6COIIywiyCJsIhAhuCFQINggTB/IH1wfGB7wHtwe1B7IHqweeB4sHdQdgB04HOwcnBw4G8QbTBrUGmQZ7BlwGOQYUBe4FzAWvBZYFfgVkBUUFIgT+BNsEtgSQBGYEPAQVA/ADzAOlA3kDSwMgAv8C6ALWAsICpwKDAlcCKQH/AdkBswGIAVgBJQDyAMQAmQBuAEMAF//q/73/j/9g/y//AP7T/qf+ev5M/hv96f24/Yf9V/0m/Pb8xvyW/GT8MvwA+9D7oPtw+0D7Efrl+rv6kvpn+jn6CPnX+ab5d/lM+ST5APjc+LT4h/hY+Cn3//fY97P3kvd091j3Pfcd9vb2zvap9ov2cvZY9jn2FvXx9cz1pvWA9Vz1P/Uq9Rr1B/Tq9MX0nPR49F70TfRA9DT0IvQN8/bz4fPP87/zsPOg85HzhfN883PzaPNe81jzWfNe81/zV/NK8z/zPvNF807zUvNQ807zUfNY813zXfNY81PzUvNY82DzaPNu83HzcfNw83DzcfN183nzf/OE84rzk/Od86jztPPA883z2vPm8/Pz//QL9Bn0KfQ89E/0YvRx9H/0jPSc9K30vfTJ9NL02/To9Pj1C/Ud9S/1Q/Vc9Xb1j/Wk9bj1z/Xq9gr2K/ZM9mv2ivao9sP23vb69xf3M/dN92X3gPeg98f37fgO+Cr4RPhi+IX4qPjK+On5CPkm+UL5Wvlw+YT5l/ml+a/5t/nF+dv58/oE+gj6BvoO+in6V/qM+r767fsl+3X75vx0/RH9q/43/qv/Bf9H/3L/h/+K/4P/fP+A/5H/rf/K/97/4P/G/4r/Lf69/lX+DP3t/e79/P4H/g7+F/4o/kH+YP6B/qX+yf7r/wX/Ff8f/yj/Mf87/0n/Xv97/5r/sv/A/8f/0//sAAkAIAAoACUAJQAwAEUAWABkAGwAdgCKAKUAwwDfAPgBDwEoAUEBWgF0AY8BqQHAAdYB7gINAjMCXQKFAqcCxQLjAwMDIwM/A1kDewOtA/QESQSeBOQFFgU4BVIFbAWHBaIFtQXCBcwF3AX0Bg8GIQYgBhIGDQYpBm0GwQb5BvAGpAYxBb8FZAUcBN0ErgSoBN8FTQXMBikGSgY2BgwF6QXTBcUFuAWtBbEFzAX+Bj0Gfwa5BuYHBQcWBxkHEgcGBvYG4gbJBqUGdwZBBgwF4AXABaYFiQVmBT4FGQT3BNUEqwR9BFMEMwQYA/IDsQNZAwACvwKcAo0CfQJiAkACIQIKAfMB1QGvAY0BegF4AX8BgAFzAVgBNgEYAQMA+gD0AOkA0QCvAJAAfwCBAJAApgDDAOoBGAE7AToBBACkAD//+P/g/+v//QAB//T/3v/J/7j/qP+a/43/gv94/27/Zf9e/1n/Vf9O/0P/Of81/zb/Of83/yv/F/8A/un+0/69/qr+mf6M/oD+dP5p/mD+Wv5V/kv+N/4b/fz94v3Q/cT9tf2d/Xr9Uv0r/Q389/zm/NL8uPyZ/Hj8Wfw//Cb8D/v4++P70fvD+7f7rvun+6P7ovuj+6X7pvul+6P7oPud+5r7lPuK+3z7bftf+1H7Q/sz+yT7F/sP+wz7DPsM+wn7Afr2+uv64vrd+tn61frQ+sn6wfq6+rT6sPqt+qv6rPqv+rf6wPrI+sz6zPrH+sH6u/q1+q76qvqq+rH6vPrG+sz6zfrN+s760frW+tr63frh+uf67/r3+v/7B/sN+xL7FPsU+xX7GPsg+yr7Mvs4+zr7PPs++0L7RvtK+037TvtN+0n7Qfs3+y37I/sa+xT7EvsR+xD7DvsK+wf7BvsK+xL7HPsm+y77Nfs7+0H7R/tO+1b7Xftk+2v7cvt6+4D7hvuM+5L7mvuj+6v7svu4+8H7yvvT+9r73/vl++379vv9+//7/fv8+/78A/wI/Ar8CvwK/A/8GPwi/Cv8MPw0/Dv8RfxR/Fz8Zvxu/HX8fPyD/Ir8kfyY/J/8pvyv/Lv8yvzZ/OX86/zr/Ov87vz2/P79Av0C/QL9BP0K/RP9IP03/V79kP3F/e3+BP4Q/hr+Kv49/k3+V/5f/mr+ef6J/pj+pf6z/sT+0/7g/ur+9v8G/xj/KP8w/zX/PP9I/1b/Y/9q/2//dv9//4n/k/+f/63/v//Q/9z/4//p//IAAAAQACAAMwBHAF0AcQCBAJIApgDAAN4A+gEVATABTQFrAYYBnwG5AdgB+gIbAjgCUwJyApcCvQLfAvsDFQMzA1MDcgOMA6YDxQPpBAoEIAQvBEIEXgR6BIQEdARUBDwEPARYBIYExAUcBZMGHAaYBuoHDgcgB0QHigfnCD4IeAiRCJUIlQibCKkIuAjECNAI5QkOCUoJhQmkCZEJUgj+CK4IZggYB7cHRgbYBnwGNQX3BboFggVaBUcFQQU6BSkFEAT2BOAE0ATJBM8E5wUIBSYFNAUuBRkE/gTiBMkEtwSvBLEEswSrBJcEfQRjBEQEEgPAA1EC1AJcAfQBmwFNAQcAzgCkAIUAawBSADgAHwAI//H/2//I/7b/pf+T/3//a/9Z/0n/N/8h/wn+8v7g/tL+x/68/rH+pv6b/o3+fP5q/lv+Tf49/in+Ev35/eL9zv26/aX9j/12/V39Rf0u/Rv9Df0F/QD8+/z2/PP88vz2/Pz9BP0M/Rf9JP00/Uj9X/14/ZL9rP3G/d/9+P4R/in+QP5X/mz+gv6a/rX+0/7x/w7/Kf9F/2X/iP+r/8z/6AAEACUATQB8AK4A4AERAUIBcgGiAdICAwI1AmgCmwLKAvYDHgNGA24DmAPEA/AEGgREBGsEkgS4BN4FAgUmBUoFcQWcBcoF9gYgBkcGbwaXBr8G5AcIBysHUQd3B5oHuQfWB/UIFQg1CFEIaAh8CJAIpAi3CMgI3Aj1CRUJOAlZCXUJiwmbCaYJqQmnCaAJmgmXCZcJmwmgCaUJpgmlCaAJmgmUCY0JhQl8CXIJaQlhCVgJTwlGCUEJPgk6CTMJKAkfCRoJGQkZCRcJEgkJCPkI4gjICLIIpgieCI8IcAhFCB8IDAgNCBEIDAf8B+wH5QfiB9cHvQeZB3YHVwc1BwoG2ga0BqYGqgawBy4HMAc6B2oHuggJCDEIJwf8B8sHpQeOB4QHiAeYB68HwgfPB9kH6QgCCB4INAhDCFMIagiKCKsIxwjiCQAJIwlICWcJgQmaCbgJ2Qn4ChAKIwo4ClAKZgpxCnEKbQpvCn4Kmgq8Ct4K/QsXCykLMws2CzcLOwtBC0YLSAtDCz0LOQs7C0YLVQtlC3ILeAt3C3MLbQtrC20LdguBC44LmguiC6oLsgu9C8kL1gviC/AMAQwWDC4MRwxiDIAMpAzMDPUNIA1QDYcNwQ3xDgoOCQ32Dd4NzQ3BDbQNpA2TDYUNdw1mDUsNJw0FDOwM4AzcDNoM2AzYDOAM7gz+DQwNEg0ODQMM9wzvDPEM/A0QDSoNSg1wDZsNxg3tDg8OLg5QDnUOnA7ADuEPAg8oD08PcQ+LD6APtQ/MD+EP8Q/9EBIQMxBeEIIQlxCgEK8QzBDsEPsQ7RDPEMAQ0xD/ESMRIxECEOIQ4REBESURKREFENAQrRCpELYQuxCrEJEQfxB8EIIQhRCCEHsQdRBsEFoQQRAqECIQJxAqEBsP+A/PD7QPrw+3D7kPpw+CD1MPJA76DtYOtw6cDoUObw5XDjoOGg34DdUNtA2VDXkNXg1HDTINHg0IDO4MzQypDIYMaAxODDIMFAv1C9gLwAuqC5MLegtjC1QLTQtLC0gLQQs2CykLHAsOCwAK8groCuEK3QraCtgK1QrQCsoKwQq3Cq0KpAqaCo0KfApqClgKRgo0Ch4KBAnnCcgJqAmHCWYJRQknCQwI9AjdCMYIrgiUCHcIWQg8CCIIDwgCB/oH9gfxB+kH3AfJB7MHnQeJB3YHYgdJBy4HEgb4Bt4GwwakBoMGYQZBBiIGBQXqBdAFtwWcBXwFWAUzBQ4E6QTEBJ0EdgRQBCoEAwPXA6cDegNUAzoDKAMXAwEC4QK4AosCXwI2AhAB6AG9AY0BXQEuAQIA1wCtAIAAUwAk//X/xv+W/2j/Of8M/t7+sf6D/lX+Jv32/cX9k/1j/TT9BPzT/KD8bvxA/BP75vu2+4L7T/sh+vb6zPqg+nD6QPoS+eb5uvmP+Wf5Qvkc+PL4wviO+F34M/gP9+73z/ex95P3dvdU9y/3CPbk9sf2rfaR9nD2S/Yj9fv10/Ws9Yn1b/Vd9U31OfUb9PT0zfSr9JL0gPRx9GL0UPQ79CT0DvP78+vz2/PL87zzr/Ol85zzkfOF833zfPN/84DzevNu82PzYPNk82rza/Nq82rzcfN784LzgfN783XzdfN984fzj/OU85bzlfOT85PzlfOa86DzpfOn86nzrvO388Tz0/Pg8+zz9/QD9A/0G/Qn9DT0QvRT9GT0dPSC9I/0nfSt9L30zPTX9N/06PT29Qf1G/Uv9UP1WfVw9Yj1nvWz9cj14fYA9iH2QvZh9n72mva19sz24/b79xb3MvdN92f3hPel98n37PgL+Cb4Q/hk+In4rPjK+OX5APkb+TT5Sflb+W75hPmY+af5sfm8+dD56voB+gn6A/n++gj6Kvpc+o76uPrd+w/7X/vX/HP9Hv3D/k/+vf8P/07/fP+X/53/lP+J/4r/nP+4/87/y/+l/1z++P6L/ij94f28/bb9vv3H/c390v3e/fX+GP5A/mf+iv6l/rr+y/7b/ur+9/8B/w7/IP86/1b/bP97/4j/mP+w/8j/2f/g/+L/6//9ABQAJwAxADcAQgBVAG0AhQCbAK8AxQDdAPgBEwEwAU4BbQGJAaIBugHVAfUCGAI6AloCegKeAsYC7QMOAyoDRwNvA6cD7QQ2BHgErwTaBPwFGwU2BU4FYQVuBXwFjgWoBcYF3gXmBeMF5AX8BjMGdAagBpoGXgYBBZ4FQwTyBKkEdQRqBJQE5QU7BXEFegVhBUIFMAUvBTgFQgVRBW4FngXgBiwGcwaoBsUGzwbNBsgGwga6BqoGkwZ0BlEGKAX7Bc0FpgWLBXkFZwVNBSsFBgThBL0ElQRnBDsEGAP5A9ADkwNEAvYCvAKdAokCcQJLAiECAAHpAdYBvAGaAXkBYQFUAUsBPQEmAQkA7ADVAMYAvgC6ALQApwCSAHcAWgA7ABwACAARAEUAngD3ASMBBACnADj/5f/C/8L/yf/F/7b/qP+g/5n/jP95/2X/V/9R/0z/Rv89/zP/KP8a/wv+/f73/vn+/f79/vL+4P7M/rj+pf6R/n7+bv5h/lb+Sf49/jD+J/4g/hf+B/3x/dn9w/2z/ab9lv1+/V/9Pf0c/QH87Pza/Mb8rPyP/HD8Uvw4/CD8CPvw+9r7xvu2+6r7n/uW+5D7j/uT+5n7nfuc+5f7kPuL+4j7hft9+3H7YvtS+0L7Mfse+wz6/fr1+vP69vr6+vr69Prp+t761PrP+s76zvrN+sj6wPq2+q76qPql+qP6pPqo+q/6t/q++sP6xPrC+r/6uvqz+qr6pPqj+qr6tPq++sL6wvrA+sD6xfrL+tL62Prc+uD65vru+vf7AfsL+xH7FfsW+xj7HPsh+yj7Lvsz+zj7PftD+0f7S/tO+1D7UPtN+0f7Pvs0+yv7JPse+xr7GPsY+xj7F/sU+xH7EPsU+xz7KPsz+zz7QftF+0n7TvtT+1n7Xvtl+277ePuB+4n7kPuV+5r7ofup+7H7uPu/+8f7z/vW+9z74fvp+/P7/PwC/AP8AfwB/AT8CfwN/A38DPwO/BP8G/wk/Cv8Mfw3/D/8SPxT/F38Zvxu/HX8evx9/ID8hfyN/Jf8oPyq/LT8wPzO/Nr84fzj/OT86/z3/QT9Df0P/Q79DP0L/Qv9Dv0Z/TD9Vf1//aX9wv3Y/e7+Bf4b/iz+Nf49/kj+V/5o/nf+hf6V/qb+t/7F/tD+3v7x/wf/G/8o/zH/Of9E/1D/W/9j/2r/cv98/4b/kP+c/6r/u//K/9f/4//v//8AEAAhADMARwBfAHYAiwCcAK0AxADhAQABHAE1AU4BagGHAaIBuwHWAfQCFQIzAksCYgKBAqcCzgLvAwgDHQM3A1YDdAONA6UDwQPjBAMEGwQuBEUEZASABIUEbgRKBDMEOQRcBI8EzgUiBZAGDAZ6Br8G3gbzBx4HaQfDCBMISAhkCHQIggiTCKQIswjACM0I5AkMCUYJhAmpCaAJZgkSCL4IdQgqB84HXAbmBn8GMQX0BbsFhgVbBUAFMwUpBRkFAwTtBNsEzgTIBMwE3AT2BQ0FFgUNBPgE3wTIBLQEpgSeBJwEnQSaBJAEfQRfBDAD5gN7AvsCdgH/AZ0BSwEGAMwAoQCEAHAAXABFACsAEv/8/+f/0v++/6v/mv+J/3b/Y/9Q/z//Lv8a/wP+7v7c/tD+yP7B/rj+rv6j/pj+jf6B/nT+Zf5U/kD+Kv4U/f395f3M/bP9mv2C/Wv9Uv07/Sb9F/0M/QX8//z7/Pj89/z6/P79Bv0Q/Rv9J/00/UT9WP1w/Yz9qf3F/eD9+/4V/i3+RP5Z/m/+hv6g/rz+2P72/xX/Nv9Z/37/of/C/9//+QAUADQAXgCNAMAA8QEgAU4BfQGsAdoCCgI5AmoCmwLJAvMDGgNBA2wDmwPLA/oEJQRPBHcEngTEBOgFDQUzBVoFggWqBdEF+AYgBkkGcwaeBsYG7AcSBzgHXQd/B50HuAfUB/IIFAg3CFYIcQiICJ4IswjJCN8I9QkNCSYJQglgCX4JlwmpCbMJuAm5CbcJsQmpCaIJoQmnCbAJtQmzCa0JpwmjCZ8JlwmMCX8JdQluCWYJXAlSCUwJSglLCUgJQgk7CTYJNgk1CTEJKgkfCRAI+wjfCMEIpgiNCHQIWghECDoIPwhHCEQIMggbCA8IEAgQB/wH0QeeB3QHUQcoBu4GswaUBqcG3gcVCDIIJQgECAIILwhyCJ0IlAheCBQH0AegB4kHiwefB7sH0wfgB+kH9wgPCCoIQQhSCGUIgAikCMgI5Qj/CRwJPQlgCXwJkQmlCb8J3wn/ChYKJgozCkIKUApaCl4KZQp2CpQKuwrfCvoLDQsYCx4LHwseCx8LKAs2C0MLSgtFCzwLNQs5C0cLWwtuC3oLfgt9C3oLeAt6C38LiAuUC58LqAuvC7YLwAvOC98L7gv+DA0MIAw2DE0MaAyHDK0M2A0CDSYNRg1pDZQNxg3vDgQN/w3qDdINwQ22DaoNmw2ODYUNfQ1wDVYNNQ0VDP4M7wziDNMMxwzFDNQM7g0KDRoNHA0TDQYM/g0CDRMNLw1QDXENkQ2yDdgOAw4uDlMOcw6RDrEO1g7/DygPUA93D5oPtw/OD+EP8xAGEBUQIRAtEEMQZxCUELsQ0RDaEOUQ+hETER0RDRDsENUQ3RD+ER4RJREQEPgQ9BEGERgREhDwEMcQrxCwELwQvxCyEJ4QkhCSEJkQnRCcEJkQlhCOEH0QZBBPEEUQRRBAECgP/g/SD7YPrw+2D7kPrg+UD3MPUA8tDwgO4Q68DpwOgg5qDlEONQ4YDfkN3A3ADaYNjw17DWkNVw1CDSYNBAzfDLsMmwx8DF0MPAwdDAIL6wvUC7sLoAuJC3oLdAtwC2wLZAtZC08LRAs2CyULFAsGCv4K+Qr2CvQK8ArrCuUK3QrUCswKxAq7Cq0KmwqJCnkKagpaCkQKKAoICekJzAmwCZQJdwlaCT4JJAkLCPII1wi5CJsIgAhqCFkITQhDCDoILwgkCBcIBQfwB9kHxAexB58HiQdvB1MHOAcgBwcG6wbKBqgGigZxBlkGQQYmBgkF7AXPBa8FjAVnBUEFHQT7BNkEtgSQBGYEOAQHA9YDrAONA3YDZANOAzEDDQLmAr4ClwJuAkQCGAHrAb8BkwFpAUABFgDrAL4AjwBfAC8AAP/R/6P/df9H/xj+6f68/pD+Yv4y/gD9zv2f/XP9Rf0U/OD8rPx+/FP8J/v3+8L7jPtb+y/7A/rV+qX6dvpK+iH59/nN+aX5fvlX+Sr4+PjC+JH4afhI+Cr4Cvfp98n3qfeI92X3Qfcf9wD24vbD9qD2evZS9iv2BPXf9b/1p/WW9YT1a/VJ9SH0/PTe9Mf0tPSi9JD0ffRo9FL0O/Qn9Bb0B/P38+nz3PPT88vzwfO086nzo/Ok86XzovOZ84/ziPOG84XzhPOD84fzkPOb86HzoPOb85nzm/Oi86rzr/Oy87TztfO187bzuvPA88fzy/PL88nzy/PT8+Hz7/P79AX0D/Qc9Cn0N/RE9FD0XvRu9H70jPSX9KL0r/S+9M703fTo9PL0/fUM9R71MfVE9Vf1bPWC9Zj1rfXC9dr19vYV9jX2U/Zw9oz2p/bA9tT25fb29w33KfdJ92n3ives98337fgK+Cf4Rvhp+Iz4qvjE+Nr48vkN+Sb5O/lN+WL5evmS+aT5rvm1+cP52vn0+gT6Bvn/+f76Dvou+lT6ePqX+rz6+Ptb++b8jf03/c7+R/6l/vf/Qv+B/6f/rP+a/4b/gf+O/5z/lv9s/x3+uP5P/fT9sv2O/YH9g/2J/Yz9kP2a/a/90P31/hn+OP5R/mj+f/6W/qr+uf7E/tD+4f75/xL/KP85/0j/WP9q/3r/h/+Q/5z/r//G/93/7f/3AAEADwAhADIAQQBQAGEAeQCWALQA0ADuAQ4BMgFVAXMBjQGlAb0B1gHwAgsCKwJSAn8CrQLVAvYDEwMzA1sDjQPFBAAEOQRuBJsEwATcBPEFAAUNBRsFLgVLBW4FkQWsBb0FywXfBgEGKAZDBkMGIgXkBZIFNATQBHAEJgQCBAgEKwRRBGkEbwRsBG8EfASUBLME2AUGBUAFhgXSBhwGWQZ/BooGgQZyBmYGXwZXBkUGKQYIBecFyQWpBYcFZwVQBUIFMwUZBPMEyASiBIIEYgQ7BBAD5gO/A5YDZAMrAvQCyAKpAooCYgIyAgQB5QHTAcQBqgGGAV8BPwEmAREA9wDaALsAoACMAH8AegB4AHUAbgBhAFEAPAAf//j/0f/B/9sAIABzAKkApQBsACP/7f/U/8r/uP+Z/3n/Z/9l/2f/YP9O/zn/Lf8r/y3/LP8l/xj/B/7x/tj+xP68/r/+x/7K/sH+sP6c/or+ev5q/lj+SP46/i7+Iv4V/gf9+/3w/eX91f3D/bD9of2T/Yb9c/1b/UD9JP0K/PT84fzN/Lj8nvyA/GH8Rfws/Bj8BPvv+9n7w/uw+6D7kvuG+377fPuA+4j7jvuO+4j7gft7+3f7c/tr+177UPtC+zT7JfsT+v767Prh+t364Prl+uf65Prc+tH6yPrC+sD6wfrC+sD6u/qz+qv6pfqi+qD6ofqk+qj6rPqw+rP6tPq0+rP6sPqr+qX6ofqi+qf6r/q1+rn6ufq4+rj6u/rB+sj60PrW+tz64vrp+vL6+/sE+wv7EPsT+xj7Hvsk+yn7Lfsx+zf7P/tH+0z7T/tQ+1L7UvtR+0v7Q/s6+zL7LPsn+yP7IPsg+yD7Ifsg+x/7H/sj+yr7NPs9+0P7R/tL+0/7U/tX+1v7YPtn+3D7e/uF+437k/uZ+6D7qPuw+7j7v/vH+8771vvc++D75vvv+/n8AvwH/Af8B/wH/Ar8DfwP/A/8EfwV/Bv8Ivwm/Cr8MPw4/EP8TfxU/Fv8Yvxq/HL8ePx7/Hz8gfyK/JX8n/ym/Kz8s/y8/Mf8z/zV/Nr85Pzz/QT9Ef0Y/Rn9GP0V/RD9Cf0G/Qz9IP0//WX9i/2v/dH97/4F/hH+F/4d/in+Of5L/lv+av56/ov+nf6t/rv+y/7f/vb/Df8h/zD/Pf9J/1T/Xv9o/3L/fv+L/5b/of+s/7r/yP/Y/+f/+AANACQAOgBOAGAAdACMAKMAtwDGANgA8QEPASwBRAFXAWwBhgGjAb0B1QHuAgoCKAJDAlkCcAKPArUC3AL7AxEDJgNBA2EDfgOVA6kDwwPjBAMEHwQ2BFAEbQSDBIEEYwQ9BCcEMwRcBJUE2wUyBZ8GEgZvBqMGtwbKBvgHRwehB+wIHgg9CFQIagh8CIsImQiqCMEI3QkDCTMJZAmACXQJOwjlCIsIOgftB5MHKAa7Bl4GGgXoBbkFigVfBUEFMQUkBRUFAwTyBOUE3ATVBNIE1QThBO8E9QTvBOEE0ATDBLkErwSlBJwEkgSHBHUEWAQtA+0DkwMhAqECJQG3AV0BFADXAKcAhQBvAF0ASgAyABgAAv/w/97/yv+0/6D/j/+A/3H/X/9M/zn/Jv8S/v7+7P7e/tX+z/7J/r/+tP6r/qb+ov6c/pD+fv5p/lX+Q/4w/hv+Af3k/cf9rP2T/Xz9ZP1O/Tr9Kf0b/Q/9Bfz9/Pj89vz3/Pz9Bv0T/SD9LP01/UD9Uf1o/YT9ov2//dv9+P4T/iv+Qf5V/mv+hv6j/r/+2/73/xj/PP9j/4j/qv/I/+P//gAcAEEAbACcAM8BAQExAWEBkgHBAe8CGwJGAnMCoALMAvMDGQM/A2sDmwPNA/wEJwRPBHcEngTDBOcFCwUyBVsFhQWsBdAF9QYdBkgGdAaeBsYG7QcTBzkHXAd7B5cHswfSB/MIFwg7CF0IewiVCKsIwQjXCPAJCAkeCTEJRglgCX0JmQmtCbkJwAnGCcgJxAm5CawJpQmoCbEJtwm2Ca8JqQmnCaUJngmSCYcJgAl8CXYJawldCVMJTwlQCU4JSglFCUQJQwk/CTUJKgkhCRoJEAj9COAIwQikCIwIeghxCHMIeQh6CGwIVAg+CDcIOAgrCAAHvweGB2kHYAdQByUG8wboByQHlAf/CTUJDwi1CGsIWAhxCI4IjQhoCC0H8Ae+B58HmAeoB8YH4gfzB/sIAwgTCCsIRAhbCHMIkgi3CNoI9AkKCSEJPwlgCX0JkwmmCb0J2AnyCgUKEAoZCicKOApKCl4KdAqSCrUK1wrxCwALCAsNCxILFAsTCxELEwsdCysLNgs6CzkLOQtBC08LXwttC3YLegt7C3sLfguDC4sLlguiC68LuQvBC8oL1QviC/MMBQwYDC0MRAxbDHIMjgyxDN4NDg03DVUNZw15DZINsg3PDdwN1g3GDbYNrA2jDZgNiw2BDXwNeA1sDVYNOQ0gDQ8NAQzvDNYMwQy9DM8M7w0PDR8NHQ0QDQINAQ0RDTQNYw2TDbwN2g31DhYOQg50DqAOwQ7XDu0PDA83D2cPlg+/D+AP+RAOECAQMhBBEE0QVxBjEHoQnRDHEOwRAREKERARHREtETQRJhEJEO8Q6BD2EQcRDREFEPoQ+BD/EQEQ9BDZEL4QsxC4EMIQxRC8ELEQrRCwELYQuBC3ELUQsxCrEJsQhBBwEGYQYxBZEEAQGQ/yD9gPzw/SD9IPyg+3D50PgA9eDzYPCg7eDrgOmQ5/DmgOUA42DhwOAQ3oDdENvQ2sDZ0NjA12DVgNNQ0QDOwMywyrDIsMbAxQDDYMHAwBC+MLyAuzC6cLoAuaC5ELhwt9C3ULawtbC0YLMAsfCxULEQsPCw4LCwsGCwAK9wruCuUK3QrSCsUKtAqkCpUKiQp5CmMKRgomCgcJ7AnVCb0JpQmLCXEJVwk8CR8JAQjiCMUIrgifCJUIjQiDCHYIZQhUCEEILQgXCAEH7QfbB8kHsweaB34HZAdMBzMHFQb0BtMGuAajBpAGegZeBj4GHgX/BeAFvgWbBXcFVQU2BRgE9gTNBJwEZgQwBAID4APIA7QDnAN9A1gDMgMOAu0CyQKhAnUCRwIbAfEByQGiAXkBTgEiAPUAxwCYAGgAOQAL/97/sf+D/1T/Jf74/sz+nv5t/jr+Cf3d/bP9iP1X/SL87Py6/Iz8X/wu+/r7xvuV+2f7OvsK+tn6q/p/+lf6LvoF+d35tfmL+Vz5J/jy+MX4oviG+Gn4Sfgl+AL34ffC96D3fPdY9zb3FPbx9sz2pvaB9l32OfYY9fz15vXT9b31nvV29Uz1J/UM9Pf05vTT9MD0q/SW9H/0aPRT9EH0MPQh9BP0B/P/8/fz7/Pj89bzzvPM883zy/PF87vzsfOp86TzovOj86nzsfO487vzu/O7877zxPPK883zzvPP89Hz0/PU89Xz2PPe8+Xz6PPm8+Xz5/Px8/70CvQT9Bv0JfQ19EX0U/Rf9Gv0evSL9Jv0qPSy9Lv0x/TW9Ob08/T99Qf1E/Ui9TP1RPVV9Wf1e/WR9af1vfXT9ez2CfYo9kX2YPZ59pP2rvbG9tj25vb19wr3J/dJ9233j/ev98/37PgJ+Cb4RPhm+Ib4ovi5+M745vkB+Rz5NPlK+WH5e/mT+aX5rfmw+bj5yvnk+fz6CvoN+gr6CvoR+iP6O/pY+nz6sPsA+3b8Dvy3/VT90/43/o/+6P8//4P/of+X/3r/Y/9e/2D/Uv8i/s7+Z/4C/bD9eP1Z/U39Tf1T/Vn9YP1r/X39lP2v/cv95v4C/h/+PP5V/mn+d/6C/pH+o/65/tH+5v73/wb/FP8h/y3/Of9G/1f/bP+B/5X/pv+2/8f/2P/n/+//9gABABYANABWAHUAkACsAM0A8wEaATsBVgFsAYMBmwG1AdAB7QIOAjUCYQKOArgC3QL+Ax4DQQNpA5cDywQABDAEVwRzBIcElwSnBLoE0wTzBRkFQwVqBYwFpwW+BdQF6wX+BgcF/gXYBZAFKASsBDED0AOWA4EDgwOOA5wDrwPKA+4EFgQ/BGwEpATnBTMFfwXEBfwGJAY2BjMGIAYKBfoF8gXpBdcFuwWeBYYFcgVdBUIFJQULBPcE4gTCBJcEagRHBDAEGwP9A9UDpwN8A1YDMwMQAu0CzQKqAn8CSgISAeUBygG6AagBiAFbASsBBADoANMAvACiAIQAZgBMADoAMQAvAC0AJwAdABQADgAG//P/0v+x/6L/s//a//4ADAAD//T/8P/y/+n/xf+N/1b/NP8q/yr/J/8a/w7/CP8K/w3/DP8F/vn+5/7P/rL+mP6L/oz+lf6a/pT+hP5x/mH+VP5H/jj+KP4X/gj9+f3q/d390v3H/br9qP2V/YP9dv1q/V79Tf03/SD9Cfz1/OH8zvy6/KX8jfxw/FH8M/wc/Ar7+/vr+9f7wvut+5n7ift6+3D7a/tt+3L7d/t4+3T7b/tp+2T7XftS+0X7OPst+yT7GPsH+vL63vrP+sj6yPrM+s/6z/rL+sX6vvq4+rT6sfqx+rH6r/qr+qb6oPqb+pn6mPqZ+pr6m/qb+pz6nPqc+pv6mfqY+pf6mfqd+qP6qPqt+rD6sfqx+rH6svq1+rv6w/rO+tf64Prn+u/69/r++wT7CPsN+xT7HPsk+yr7Lvsx+zf7PvtF+0r7TPtN+0/7UvtT+1L7TftG+0D7Ovs2+zL7L/st+yz7LPst+y77MPs0+zn7PvtD+0f7S/tP+1T7Wvte+2P7Z/tt+3b7fvuG+4z7kvuZ+6L7rPu2+7/7xvvO+9f73vvk++n77/v2+//8BvwK/Av8DPwP/BH8EvwT/BP8F/we/CT8J/wp/Cv8Mvw9/En8U/xY/Fz8Yvxq/HT8fPx//IP8iPyS/J38pfyo/Kj8qvyv/Lf8wPzI/M/82vzo/Pj9Bf0P/RX9Gv0d/R79G/0Y/Rz9Kv1F/Wn9kv26/dz99v4E/gj+CP4K/hT+JP43/kj+V/5n/nn+i/6c/q3+vv7R/ub++/8Q/yP/Nf9E/1H/Xf9p/3f/h/+W/6P/r/+8/8z/3P/uAAEAFwAyAE4AZgB5AIoAngC0AMoA2wDqAPwBFQEzAU0BYgFzAYgBowHAAdgB6wH+AhYCMwJOAmUCfgKcAsIC5gMCAxcDLQNKA2sDhwObA6wDxQPnBAsEKQRBBFgEcQSABHgEVwQwBBwEKgRXBJcE5gVHBbgGJgZ1BpcGnQarBt0HMQeNB9cIBQgiCDgISghVCFwIZQh6CJkIvQjgCQIJHwksCRgI4AiNCDIH3geMBzMG0QZyBiUF8gXOBaoFgwVgBUgFPAUxBSEFDAT6BPAE6wTkBNgEzgTMBNIE2QTbBNYEzwTKBMUEvgSyBKAEiQRrBEMEEAPNA3sDHAKxAkMB2QF7ASsA6QC1AIwAbwBaAEcAMgAbAAX/9P/m/9f/w/+s/5f/hv96/23/Xf9K/zX/If8O/v3+7/7l/t/+2/7V/s3+xP6//r7+vv65/qr+k/56/mP+Uf5C/jD+GP39/eL9x/2t/ZT9ev1j/VD9P/0u/R79EP0F/P38+vz5/P39B/0U/SH9LP00/T79Tv1l/YD9nP22/dL97/4M/iX+Ov5P/mb+gv6g/r3+2P71/xj/P/9m/4n/pv+//9r/+AAaAEIAbwCgANQBCQE+AXIBpgHYAgQCLAJTAnwCpwLSAvoDIANHA3EDoAPOA/kEIgRLBHUEnQTBBOIFAgUnBVAFegWhBcYF7AYXBkQGcQaaBsEG5wcPBzQHVQdzB5AHsAfTB/cIGgg9CGAIgQieCLUIyQjfCPgJEQkmCTcJRwlfCX0JmwmyCcAJyQnSCdgJ1gnKCbkJrwmwCbgJvgm8CbUJsAmuCasJowmXCY0JigmLCYcJegloCVoJUglPCUoJRQlDCUQJRAk+CS8JHwkXCRYJEwkICPMI2wjICLoIrgijCJsIlQiOCH8IbAhdCFUISAgkB+QHngd5B4kHuQfcB9MHsAetB/UIfAj+CXwJRAjOCFwIHQgVCCgINwg1CCUICwfrB8sHuAe8B9UH9AgLCBMIFwgiCDcIUwhtCIcIpAjCCN8I9AkDCRQJLAlMCWsJhAmXCagJuQnKCdkJ6An7ChYKOApbCnwKmgq2Cs8K4wrvCvYK+wsECw0LEgsPCwYLAQsECxELIwszCz8LRwtOC1YLXgtkC2kLbQtzC3kLgAuIC5ILoAuwC8ELzwvaC+ML7Qv4DAcMGwwzDE4MagyDDJsMtQzXDQINMA1VDWoNcQ1yDXkNhw2WDZ4Nng2ZDZQNkA2IDXwNbw1nDWYNZQ1dDUoNNA0kDRkNDgz5DNwMwwy9DM8M8A0ODRwNGg0PDQgNEA0rDVsNlg3PDfsOFw4tDkwOfQ64DusPDA8bDygPQg9wD6cP3BAFECEQNxBKEF4QcBCAEI0QmRCpEMEQ4BEBERsRJxEmESIRIhEpES8RLBEcEQYQ9BDqEOcQ5hDnEOkQ7xDyEO0Q3xDNEMIQwxDMENQQ0xDMEMYQxhDLEM8Q0BDOEMwQyRDAELAQnBCLEIIQfhB1EGIQRRAoEBMQCRAFEAEP9w/lD8wPrQ+ID14PMg8GDt8Ovg6hDocOcA5YDj8OJg4ODfoN6Q3bDc0Nuw2jDYQNYQ09DRsM+gzaDLsMngyDDGgMSgwqDAsL8AveC9MLygu/C7ILpQucC5ULiwt5C2ILSQs3Cy0LKgsqCysLKQslCx0LEgsGCvoK7wrkCtgKygq7Cq0KngqNCnYKXApBCiYKDwn5CeQJzQm2CZwJgQlkCUcJKQkOCPYI5AjYCM8IyAi9CK0ImAiCCGwIVghBCCsIFwgEB/IH3AfDB6gHjgd1B1wHQAciBwUG7AbXBsMGqwaOBm0GTAYtBg4F7wXPBa4FjwVwBU8FKAT4BMAEhgRTBCwEEgQAA+wD0AOqA4ADWAM1AxQC8QLJAp0CcgJKAiQB/QHUAakBfQFRASYA+QDMAJ0AbgBAABT/5/+6/4z/Xv8x/wX+1v6m/nT+Rf4Y/e/9xf2X/WP9Lfz4/Mb8lfxj/DH8APvQ+6L7c/tC+xH64vq4+pD6avpC+hr58PnB+Yz5VPkg+Pj42/jD+Kn4ifhl+EL4IfgB9973uPeS9273Svcm9wD22va19pL2cfZS9jb2IPYL9fH10PWm9Xv1V/U99Sr1GfUG9PL03fTG9K70l/SB9G70XfRN9D70MPQl9B30FPQK8//z9/Pz8/Hz7/Pp89/z0/PK88TzwvPG883z1PPY89jz1/Pb8+Pz7PPy8/Hz7vPt8+/z8PPx8/Hz8/P48/3z//P/9AD0BvQR9B30JfQq9DH0P/RS9GX0c/R79IX0lPSn9Ln0xvTO9Nb04vTx9P/1CvUR9Rn1JPUz9UP1U/Vk9Xb1jPWk9bv10fXn9gD2HfY69lX2bPaB9pj2sPbI9tz27fb+9xT3MfdS93P3k/ex98737PgI+CT4Qfhf+H74m/i0+Mv44Pj3+RH5LPlJ+Wb5g/ma+av5s/m3+bz5yPnb+fP6CPoX+hr6FfoM+gn6Ffov+lP6gfrC+yT7rvxV/Pv9hv3u/kD+kf7n/zT/Yv9p/1T/PP8v/yf/D/7W/nz+E/2x/Wb9N/0f/Rf9Gf0j/TL9Q/1U/WP9cf2A/ZL9q/3J/en+Bf4Z/if+Mv5A/lL+aP5+/pP+pf60/sP+0P7c/uj+9v8E/xP/Iv8x/0P/WP9x/4j/mf+g/6L/pv+1/9H/9gAZADYATwBqAIwAsgDYAPcBDwEmAUIBZQGIAaYBvAHOAeUCBwI2AmoCnQLHAucDAgMgA0QDbwOeA8sD7wQLBCIEOARRBG4EjgSvBNEE9AUYBT4FYgWCBZwFsAXBBc4FzgWyBWwE+wRwA+sDhgNQAz8DRANSA2gDjAO+A/UEKARVBIQEvQUBBUgFhQWxBc4F3wXjBdwFyQW1BaYFngWXBYkFdAVeBU0FQAUuBRME8ATOBK4EjgRoBD0EFQP5A+kD2gPAA5kDawNBAyADBQLsAtECsgKKAlgCHgHmAbwBowGSAXsBUwEeAOgAvgCkAJYAjAB9AGMAQAAa//r/6f/l/+b/4v/X/8z/yv/P/8//vv+c/3j/Yv9g/2z/e/+N/6b/x//k/+n/y/+R/1D/H/8D/vb+7f7m/uP+5f7p/uj+4f7X/s3+wv6v/pT+eP5l/mD+ZP5n/mL+VP5C/jT+Kv4i/hn+C/36/eX9z/28/a/9p/2f/ZP9gP1p/VP9Q/02/Sv9Hv0Q/QD87/zd/Mn8tPyg/I38ePxf/EH8JPwK+/j76vvd+8z7uPuk+5H7gPtx+2b7X/tc+137X/te+1v7V/tT+037RPs4+yn7HfsT+wv7Afry+uD6zfq9+rP6rvqu+rD6s/q1+rX6s/qu+qj6ovqe+p36nfqd+pr6lfqQ+oz6ivqI+oj6h/qG+oX6hfqE+oL6gfqC+ob6jfqV+pz6oPqj+qb6qPqq+qr6qfqq+q/6uPrF+tH62/rj+ur68vr5+v/7BPsJ+w/7F/sf+yf7Lfsy+zf7PPtB+0X7RvtH+0r7TvtR+1P7UvtO+0r7R/tF+0P7QPs++zv7O/s8+z77QftE+0f7SvtN+1D7U/tY+177Zftr+2/7dPt5+3/7hfuL+5D7lfud+6b7sfu8+8X7zvvX++D75/vt+/H79vv8/AP8CfwM/A78EvwW/Bn8GvwZ/Br8Hfwj/Cj8K/wt/DH8OfxF/FH8Wfxd/GD8Zvxw/Hr8g/yJ/I78lvyh/Kz8svyz/LH8sPyy/Lj8v/zF/Mz80/ze/On88/z8/Qb9EP0d/Sv9N/1D/VL9Zf1//Z39vf3b/fL+Av4J/gn+Bv4F/gr+Ff4l/jf+Sf5a/mz+ff6P/qL+tP7G/tf+5/75/w3/If80/0T/Uf9g/3H/g/+T/6L/sP/B/9X/6gAAABYALwBMAGgAfwCQAKAAsQDGANkA6QD4AQoBIwE/AVkBbQGCAZwBugHXAewB+gIJAh4COgJVAm4CiAKmAsgC6QMDAxgDLwNNA2sDgwOUA6UDwQPoBA8ELARBBFUEawR4BG4ETAQkBA8EHQRKBI0E4AVGBboGJgZuBogGhwaUBssHJweJB9QH/wgUCCEIKggrCCgIKwg/CGMIiwiuCMYI1AjSCLYIfggvB9gHgwcwBtgGfAYpBewFxQWrBZAFcQVYBU0FSgVDBS8FEQT4BOwE6QTkBNQEwQS1BLYEwQTKBM0EywTHBMQEvgSwBJcEcQQ+A/0DrwNXAvsCnwJFAe0BlwFGAP4AwwCVAHMAWgBFADIAHQAJ//n/6//f/9D/vP+l/5D/f/9z/2f/WP9F/zH/Hv8O/wD+9f7u/un+5v7j/t/+2/7a/tv+2v7T/sD+pf6H/m3+Wf5J/jr+KP4U/f795/3N/bD9k/16/Wb9Vv1F/TT9JP0Y/RH9Dv0M/Qz9EP0Y/SL9K/0z/T/9Uf1p/YP9nP2z/cz96P4F/h/+Nf5J/mH+ff6Z/rT+z/7t/xL/O/9j/4P/nP+z/87/8AAXAEIAcQCkANoBEgFJAYABtQHmAhECNwJcAoMCrgLbAwUDKwNSA3oDpQPOA/YEHgRJBHUEnwTDBOAE/AUcBUIFagWRBbcF4AYNBjwGagaTBroG4gcLBzIHUwdwB48HsQfXB/oIGwg7CF4IggiiCLsIzgjjCPwJFgktCTwJTAljCYMJpAm+Cc0J1gneCeQJ4gnXCccJvgnACckJzgnLCcUJwQnACb0JsgmjCZgJlQmWCZIJhQlzCWMJWAlQCUgJPwk8CT8JQQk9CS8JIAkXCRQJDQj/COsI3AjWCNMIyAiyCJsIjAiGCIEIdwhoCFUIOwgRB9oHsAe0B/MIUgiXCJwIcQhTCHkI4wlSCNUIqwhRB/kHygfIB+AH/AgUCCYILAgeCAEH4wfZB+oICgglCDEINQg+CFQIcQiMCKMItwjNCOMI9wkGCRQJKAlECWIJegmKCZQJnAmoCbkJ1An5CicKWQqGCqkKwQrRCtsK4grnCuwK9Ar/CwgLCgsCCvYK8Ar1CwcLIAs4C0kLUwtXC1oLWwteC2MLawt2C4ELiwuUC58LrwvCC9cL6Av1C/8MBwwRDCAMNgxRDHAMjwyqDMEM1wzyDRINNA1ODVoNWg1VDVINVw1fDWkNcA11DXcNcg1nDVcNSw1IDUwNTw1JDTwNLQ0jDRwNEQz7DN4MyAzFDNYM8Q0KDRYNGA0YDR4NMA1TDYYNww39DikORQ5dDoEOuA74Dy4PTQ9YD2MPgQ+1D/IQKBBLEGAQcBCBEJUQpxC3EMYQ1xDvEQsRKhFDEVIRUhFFETERHxEWERYRGhEYEQwQ+BDjENMQzhDUEOEQ7RDwEOgQ2xDQENEQ2xDmEOsQ5hDeENkQ2hDeEOMQ5BDiEOAQ3BDTEMUQtRCnEJ0QlhCNEH8QbBBZEEkQPhA3EDAQJRAUD/kP1w+vD4UPWw80DxAO7Q7NDrAOlg5+DmUOSw40DiEOFA4JDfwN6A3MDawNiQ1nDUUNIw0BDOEMwwynDIsMbQxODDEMGgwIC/sL7AvcC8wLvwu3C7ALpQuTC3sLZQtUC0sLSQtKC0sLSgtFCzsLLAsdCw8LAwr5Cu8K4wrUCsQKsgqdCocKcgpeCksKOAojCgwJ9AnbCcAJowmFCWkJUAk8CSsJHAkQCQYI/AjwCN4IyAiuCJYIgAhrCFYIQQgsCBcIAQfoB8wHsQeXB4AHagdSBzkHHwcGBu0G0wa2BpcGeAZaBj0GHwYBBeEFwQWdBXMFQwUMBNQEoAR2BFgEQwQyBBsD/APVA6sDgwNfAzoDEwLpAsACmgJ3AlQCLQIBAdQBqAF+AVUBKwD/ANAAogB0AEcAGv/t/8D/kv9l/zj/Cv7c/qz+ff5Q/iX9+v3N/Z39a/03/QT80fyf/G78PvwP+977rPt5+0j7HPr0+s76qvqE+lv6Lfn3+b35g/lS+S35FPj/+Ob4xvik+IH4X/g8+Bb37vfI96X3hPdh9zv3E/bt9sv2qvaL9m72U/Y69iD2APXa9bT1kvV39WL1T/U79SX1DfT09Nv0xPSv9J70jvR99G30XfRP9ET0OvQv9CX0HfQX9BP0D/QI8//z9fPr8+Tz4/Po8/Dz9/P58/jz9/P79AT0DfQS9BD0DfQM9Az0DfQN9A30EPQW9Bv0HfQc9B/0J/Q09D70QvRE9Ev0W/Ry9Ib0kfSW9J30rPTB9NT04fTo9O/0+vUJ9Rj1IfUm9Sv1NPVD9VT1ZfV29Yr1oPW59dH16PX99hX2L/ZK9mP2efaM9p/2tPbK9t/29PcJ9yL3Pvdd93r3l/ez99H37/gN+Cn4RPhg+H74nfi5+M/44Pjw+QX5IvlF+Wr5ivmg+a/5uvnD+cv50/nc+en5/PoR+h/6H/oU+gn6DPog+kD6Z/qY+uf7YvwE/LT9T/3B/hD+Uv6V/tX/BP8W/xD/Av73/un+x/6G/ij9wP1j/SD89/zi/N384/zz/Qv9J/0//VH9W/1k/XH9hv2h/b390v3d/eT97v3+/hX+Lv5F/lj+Z/52/oT+kv6f/q3+u/7H/tH+2f7k/vf/Ev8v/0X/T/9P/07/Wf9z/5j/vv/e//cADgArAE8AdgCXALAAxQDdAQIBLwFaAXgBgwGFAY0BqAHZAhYCUQJ/Ap4CtwLSAvcDIwNQA3gDmQO1A88D6wQLBC4ETwRsBIQEmwS2BNsFBwUzBVYFbAV3BXoFcgVTBRAEpgQpA7cDbQNWA2YDhwOrA9AD/QQxBGgEmQTCBOkFFwVKBXoFmgWqBa4FrwWuBagFnAWMBYEFegV2BWwFXQVLBTwFLgUbBP4E2QSwBIgEYQQ5BBED8APZA8gDtQOWA2sDPQMTAvEC0wK1ApICawI+AgsB1QGkAYABagFbAUQBHQDoALIAhwBsAGAAWwBSADsAFf/k/7n/n/+a/6D/ov+Z/4v/gv+D/4f/gf9s/03/Mv8h/xv/Hv8p/0P/af+R/6j/of9+/0v/GP7u/s7+uf6v/rH+uf6//rz+sf6l/p3+mf6P/nv+YP5H/jr+N/42/jD+Iv4Q/gD99/30/fP97v3g/cr9rv2U/YT9fP12/Wz9WP0+/ST9D/z//PT86/zj/Nz80vzD/K78l/yB/G78XfxJ/DH8Ffv7++X71fvG+7b7pvuV+4X7dvtp+177VvtQ+037SvtH+0P7P/s8+zb7Lvsh+xP7BPr3+u364vrW+sn6uvqs+qH6mPqU+pL6lPqZ+p76oPqf+pr6k/qN+on6iPqI+oj6hvqC+oD6fvp8+nv6efp3+nb6dvp1+nT6c/p1+nr6gvqL+pL6lvqZ+pz6n/qi+qL6ovqk+qr6tPq/+sr60vrZ+uD66Prx+vn6//sE+wj7D/sX+yD7Kfsw+zX7Ovs++0L7RftH+0n7TPtO+1D7UftQ+0/7TvtP+1H7UftQ+077TftN+0/7UvtW+1j7Wvtd+2H7ZPtp+277dPt6+3/7g/uH+4v7kfuW+5z7ovuo+7D7uPvB+8v71Pve++f77fvy+/X7+vwB/Af8DfwQ/BL8Fvwa/B78H/wf/B/8Ifwl/Cv8MPw1/Dz8RvxQ/Fn8Xfxh/GX8bPx2/H/8h/yO/Jb8oPyr/Lb8vPy//MD8wvzF/Mr8zvzS/Nb82/zh/Oj87vz1/P79C/0e/TX9Tv1m/X79lf2s/cL91f3k/e/9+P4A/gb+Cf4J/gr+Dv4a/iz+Qv5X/mr+ev6L/p3+sP7B/s/+3P7r/v7/E/8n/zf/Rv9W/2n/fP+M/5v/q/+//9f/7wAHAB4AOABUAHAAhwCXAKYAtgDIANoA6wD6AQ4BJgFBAVkBcAGJAacBxwHjAfUCAgISAikCRQJfAncCjgKrAssC6gMEAxkDMQNNA2gDewOJA5sDugPiBAgEIwQ2BEoEYgRwBGUEQAQWBAEEEAQ+BH4EywUrBZoGBgZRBnAGdAaGBsMHJgeOB9oIAAgLCAwICwgHCAEIAggSCDIIWAh5CI8IlQiJCGUIKAfYB4IHLwbeBooGOAXxBb8FogWMBXIFVwVFBUMFSQVFBSwFBgTnBNgE1gTSBMEEqgSbBJwEqgS5BL8EvgS6BLYErgSbBHYEPgP1A54DPwLgAocCOQHxAasBYgEaANgAowB8AGAASwA3ACQAEwAF//f/6v/b/8n/tP+e/4n/eP9q/1z/Tf87/yr/HP8R/wf+/v72/vD+7P7s/u3+7v7v/u7+6/7h/s7+tf6Z/n/+af5Y/kj+Of4p/hj+BP3q/cz9rv2U/YD9b/1d/Uv9O/0w/Sv9KP0k/SD9Hv0i/Sj9MP05/UX9WP1w/Yj9nv2z/cn95P4A/hr+MP5F/l7+ef6U/q3+xv7k/wn/Mv9Z/3j/kv+r/8r/8QAcAEwAfgC1AO4BJgFdAZABwQHwAhsCQgJoAo8CugLlAw4DNQNaA4ADpwPOA/UEHARGBHIEmwS+BNoE9QUVBTkFYAWGBawF1wYGBjcGZAaOBrYG4AcNBzUHWAd3B5YHuQfdB/0IGQg2CFkIfwiiCL0I0AjkCP4JGgkyCUMJUwlqCYsJrgnJCdgJ3wnlCeoJ5wndCdAJygnPCdkJ3gnbCdUJ0gnTCc8JwwmyCaMJngmcCZcJigl4CWkJYAlWCUkJOwk0CTQJOAk4CTIJKwklCR4JDgj0CNwI0AjSCNQIxgioCIoIfAh/CIMIdwhaCDkIIQgRCAcICggrCG8IwAjwCN0IlAhMCDwIbwi3B90H2AfAB7EHuwfaB/sIFAgpCD4ITAhGCCsICgf5CAUIJAhCCFEIVwhiCHkImAizCMUI0gjkCPwJFgksCT0JTgliCXgJigmWCZ0Jpgm3CdMJ+woqClwKigqvCscK1ArZCtwK4ArlCuwK8wr5CvoK8wroCuAK4wrzCw0LKQs/C00LVQtZC1wLYAtnC3ALfAuKC5YLnwuoC7ILwgvWC+sL/gwLDBUMHwwsDD0MVQxwDI8MrAzGDNwM7gz/DRANIQ0tDTINMg0wDTANNw1CDU4NWQ1fDV0NUg1BDTENKg0tDTUNOg04DS8NJQ0gDRkNDAz3DOAM0QzTDOMM9g0GDRENGw0pDT4NWw1/Da4N5Q4cDkoObw6SDsAO+g83D2YPfg+KD54PyBAGEEYQdhCPEJoQpBCzEMUQ1BDhEO4RAREeEUERYxF+EY0RjRF8EV0ROREaEQgRBBEGEQMQ+BDnENoQ2BDkEPYRAhECEPUQ5hDdEOAQ6hD0EPcQ8hDrEOgQ6RDvEPQQ9xD4EPcQ8xDrEOAQ0xDGELoQrhChEJMQhRB3EGwQYhBcEFUQTRA9ECMQAA/XD60Phg9hDz0PGQ73DtkOvg6lDosOcA5YDkYOOw4xDiMODQ3xDc8NrA2JDWUNQA0bDPgM2Ay7DKEMhwxuDFcMQwwvDBwMBwv0C+QL2QvSC8oLvQuqC5YLhAt2C24LawtqC2sLagtjC1cLRws2CykLHwsXCw0LAQryCuEKzgq5CqMKkQqBCnMKYgpNCjMKGAn8Cd8JwQmlCYwJewluCWIJVQlHCTkJLAkeCQsI8gjXCL0IpgiSCH4IaAhRCDsIJAgLB/AH1Ae6B6QHkQd9B2YHSwcuBxEG9QbbBsEGpQaJBmoGSwYsBgoF5AW4BYUFTgUZBOkEwwSlBI4EeARhBEQEIgP9A9gDswONA2QDOQMOAugCxgKlAoECWQIsAgAB1gGvAYgBXwE0AQcA2gCsAH0ATgAg//P/xv+Y/2r/O/8O/uH+tP6F/lf+Kf39/dH9o/1y/T/9DPza/Kv8fPxL/Bf74fut+3z7Uvst+wr65vrA+pT6Yfop+e35tvmJ+Wn5Uvk8+SL5Afjd+Ln4lfhv+Eb4Hff499n3uveY93H3SPcj9wP25fbH9qf2h/Zo9kv2LvYQ9fD10fW09Zv1hPVs9VP1OPUe9QX07/Tc9Mz0vfSt9J30jfR/9HL0ZvRa9E/0RvQ+9Df0MfQq9CP0G/QR9Aj0BPQG9A30FPQY9Bf0FvQZ9CD0J/Qr9Cv0KvQp9Cn0KfQo9Cr0L/Q39Dz0PfQ89D/0SfRV9F70X/Re9GX0d/SP9KL0qvSs9LH0wfTZ9O70+/UA9Qb1EfUh9TD1OfU99UH1SvVY9Wn1evWK9Zz1sfXI9eD1+PYO9iX2PfZW9m72hPaX9qn2u/bO9uL2+PcP9yn3Rvdj94D3nPe499b39vgV+DH4S/hm+IP4ofi9+NL44Pjs+P75HPlE+Wz5ivmc+af5svnB+dD52fnc+d/57PoC+hn6JPoh+hf6F/ok+jz6V/p3+rD7Fvuq/Fj8/v1//df+Fv5M/n3+o/64/r3+uf6v/pn+bf4l/cj9Z/0V/N38vPyt/Kv8tPzG/OH8//0a/S/9O/1D/U79X/11/Yr9mf2f/aT9rv3B/dv99v4O/iL+M/5D/lL+Xv5p/nX+gf6L/pH+mP6l/rz+2P7y/v/+//77/wD/F/88/2b/iv+k/7n/0f/wABYAOgBYAG4AgQCdAMQA8gEcATUBOQE2ATwBWQGOAcwCAQIkAjoCTwJxAqEC1wMJAzEDTwNoA4IDoAPAA98D/AQUBCcEPARaBIYEvQT1BR4FLwUqBRgFAATdBKcEWwQGA8EDpAO2A+oEKAReBIcEqwTSBPoFIAVBBWEFgAWeBbQFvAW3Ba0FpQWgBZoFjwWBBXUFbgVpBWAFUQU+BSsFGgUIBPAE0wSwBIsEZAQ8BBcD+APeA8YDqAN/A04DHALuAsQCmgJsAjsCCgHaAaoBewFSATUBJQEaAQgA6QC+AI0AYQBAACsAHgAQ//j/0f+f/2//UP9J/1L/W/9a/0//Qv87/zv/Of8x/yT/FP8G/vj+6v7g/uT++f8Z/zb/RP8+/yb/BP7c/rL+jv53/nH+ef6E/of+gv56/nX+c/5t/l3+Rf4r/hn+Ef4O/gf9+f3l/dH9xf3D/cj9zP3G/bP9lv14/WL9Vv1N/UL9L/0X/P385vzS/MP8uPyz/LH8rfyj/I/8d/xf/Ez8Pfwu/Bv8BPvr+9T7wfuw+6H7kvuF+3n7bPth+1b7TftG+0D7Ovs0+y77Kvsn+yL7GvsP+wD68Prg+tL6xvq9+rX6rfqj+pj6jfqE+n76fPp++oL6h/qK+or6hfp++nj6dPp0+nX6d/p3+nj6ePp3+nX6cfpu+mz6a/ps+m36bvpw+nT6efp++oT6ifqO+pP6mPqb+pz6nvqh+qf6sPq5+sD6xvrM+tL62/rk+u369fr8+wH7BvsO+xb7IPso+y/7NPs6+0D7R/tM+077T/tQ+1H7U/tV+1b7V/tZ+1z7Xvtf+1/7X/tg+2P7Z/tp+2v7bftv+3P7d/t7+377g/uI+4z7kPuT+5f7nvul+637s/u3+7z7wfvI+9H72/vk++z78fv1+/n7/vwG/A38E/wW/Bf8GPwa/B38IPwi/CP8Jfwo/C78NPw9/Ef8UfxY/F38X/xi/Gf8cPx6/IP8ivyQ/Jf8oPyq/LT8vPzE/Mv80/za/OD85Pzo/Ov87/z0/Pj8/P0A/Qj9Ff0o/UD9Wv10/Yv9of21/cb90/3a/d/95P3u/fv+B/4N/g/+Ev4c/jD+Sv5j/nf+hv6U/qP+tf7F/tL+3v7t/v//E/8m/zX/Q/9U/2f/ef+K/5j/qP+8/9X/7QAFABsANABRAG8AiACcAKwAuwDMAN0A7gD/ARQBKwFEAVsBcgGNAawBywHkAfYCBgIbAjYCUgJqAn4CkwKuAs8C7QMGAxwDNANQA2kDegOIA5sDugPfBAAEFgQpBEIEXwRtBF0EMQQEA/QEDQRCBH8EwAUOBXAF2wYxBl4GcAaJBsYHKAeOB9gH9wf6B/MH7wftB+0H7gf4CAwIJQg9CE0ITwg9CBIHzwd9BygG2gaRBkgGAwXKBaMFiwV1BVgFOAUkBSMFKwUoBREE7ATMBL4EvQS5BKgEkQSDBIYElwSnBK0EqgSlBJ8EkgRzBDoD6wOOAysCzAJ3Ai8B8gG6AX4BPAD4AL0AkABxAFsARgAyACEAEwAI//z/7f/a/8T/rf+W/4H/bv9d/07/QP8x/yX/HP8X/xH/Cv8B/vj+8/7z/vX+9/71/vD+6P7f/tL+wv6v/pz+if53/mb+Vv5F/jL+HP4C/eX9yf2x/Zz9if10/WD9T/1D/T39OP0x/Sv9KP0r/TL9Ov1D/U79Xv1z/Yn9nf2x/cb93/36/hT+K/5C/lv+eP6T/q3+xv7j/wb/Lf9S/3H/jf+r/8//+AAmAFgAjQDIAQQBPQFwAZ8BzQH7AicCUQJ5AqACyQLxAxgDPANfA4MDqQPPA/QEGQRABGgEjQSuBMwE6wUOBTUFXQWDBaoF1gYHBjgGZQaNBrUG4AcOBzoHXwd/B58HwQfhB/0IFQgwCFIIegieCLkIzgjjCP4JHAk2CUgJWQlwCZAJsQnKCdgJ4AnmCesJ6QnfCdMJzwnVCd4J4gneCdgJ1gnYCdUJygm4CakJogmfCZgJiQl4CWsJYglZCUsJOgkuCSsJLAktCSwJLQktCSYJEQjxCNUIygjOCNAIwAihCIgIhgiUCJYIeQhFCBoIEggvCFgIdwiICJcIpAicCGsIFQe+B5AHmgfAB1cHbweNB7sH9ggrCEkITwhMCE4IVQhTCEEIKAgbCCgIRghkCHQIfAiICKIIwgjeCO8I/AkQCS4JUQluCYEJiwmUCZ0JpwmyCb8J1Qn3CiIKUAp5CpoKsAq/CskKzwrVCtoK4QrnCuwK7wrsCuMK1grNCs4K3gr5CxoLNQtGC08LVAtbC2QLbwt7C4cLkwufC6kLsQu5C8UL1gvqC/4MDgwbDCYMMgxCDFcMbwyIDKEMugzRDOUM9Az+DQUNCg0NDQ8NEg0XDSANLA06DUcNTw1ODUMNMg0fDRQNEw0bDSUNKg0pDSQNHw0bDRMNBQzyDOQM4AzoDPYNAQ0IDRENIg0+DWANhQ2qDdMOAg42DmsOng7SDwkPQQ9xD48PoQ+0D9oQFxBeEJwQwBDOENEQ2RDoEPgRAxEJERERIRE9EV8RgxGjEbsRxhG+EaARcxFBERoRBRD/EP8Q/RD4EPUQ+xEKERoRIxEeEQ0Q+xDuEOsQ7hDzEPUQ9RD0EPYQ+hEAEQYRCxEPERARDhEJEQAQ9RDoENgQxxC0EKQQmBCOEIcQghB9EHgQcRBiEEkQJw//D9cPsA+KD2QPPw8dDwAO5g7MDrAOkw56DmgOXA5RDkEOKg4MDeoNxw2hDXsNUw0rDQcM5wzKDLIMnAyIDHcMZAxPDDcMHwwLC/4L9QvuC+ML0wvCC7ELowuYC5ALiguIC4cLhgt+C3ELYAtRC0cLQAs5Cy4LIQsTCwUK9grjCs4KuQqmCpUKgwpsClIKNwobCgAJ5gnOCbsJrgmlCZsJjQl8CWsJWwlKCTUJGwj+COQIzQi5CKUIjgh1CF0IRwgxCBkH/wflB80HuAejB4wHbwdRBzMHGQcCBuwG0ga0BpMGcAZMBiYF/AXKBZQFYAUzBRAE9wTiBMsErwSPBGsERgQjBAED3gO4A44DYwM7AxcC9wLVAq4CgwJXAiwCBQHeAbcBjgFkATsBEQDkALUAhQBVACj/+//N/5z/bP8//xP+6P66/or+Wv4t/gL91f2m/XT9Qf0Q/OP8tfyE/E/8F/vh+7L7iftl+0P7Hvr0+sX6j/pW+h757fnI+a35l/l/+WH5PfkX+PD4yvih+Hj4UPgs+A337ffI96D3ePdV9zr3IfcF9uP2vfaY9nj2XPZC9ib2CfXr9c71s/WZ9X71Y/VI9TD1HPUL9Pr06fTY9Mf0ufSt9KH0lfSI9Hv0cPRm9Fz0VPRO9Ej0QvQ59C70J/Ql9Cn0L/Qz9DT0NPQ39D30Q/RH9Ej0SPRI9Ej0R/RH9En0TvRV9Fn0WPRX9Fv0Z/R19H30ffR89IP0lfSr9Lz0wfTB9Mb01/Tv9QX1EvUY9R/1K/U79Ur1U/VW9Vn1YPVt9Xz1jPWa9an1uvXO9eb2APYZ9jH2R/Ze9nX2i/ag9rP2xPbW9un2/fcV9y73S/do94f3pPfA99v3+PgW+DT4UPhq+IT4n/i4+M743/ju+QP5IvlI+Wv5gvmM+ZD5mvms+cH50PnV+dj54vn3+hH6JPop+iX6Jfot+jv6Sfpb+n/6yvtE+9/8f/0J/XH9vP31/iP+Rv5e/mv+bP5g/kD+B/24/V79C/zK/KL8kPyO/Jb8ovyx/ML81fzp/Pv9CP0S/Rv9Kf07/U79Xf1o/XH9fv2R/an9w/3c/fP+B/4Y/iX+Lf4z/jv+Rf5O/lj+Y/50/oz+pP60/rb+sf6w/r/+4P8K/zH/T/9m/3z/lv+3/9j/9wASACgAQABdAIAApwDKAOAA6gDwAQEBJgFbAY8BswHCAcoB2wICAjwCfAKxAtgC8gMKAyUDQwNhA34DmQOzA9AD8gQgBFsEnQTYBP0FBATwBM8ErQSQBHEETQQoBBEEGQRGBIsE0gUIBScFOAVHBVsFdAWOBaYFuwXJBc8FywW/BbEFpAWYBYwFfAVqBVoFTwVGBToFKAUSBPwE6QTcBNEExQS0BJwEegRTBCwEBwPlA8IDmgNqAzYDAgLOApkCXwIjAeYBsAF/AVIBKAEGAO0A3gDTAMIApwCBAFYALAAH/+n/0P+5/5//ff9T/yj/Cf78/v//CP8N/wr/A/7+/vv++f72/vL+6/7h/tH+vf6r/qH+pf60/sX+0/7d/uH+3v7N/qz+fv5U/jr+Nf4+/kr+Uf5R/k/+TP5E/jX+H/4I/fb97f3q/eX92v3H/bL9ov2d/aD9pP2h/ZL9ef1e/Uf9Nv0p/Rr9CPzz/N78yfyz/J/8jvyF/IP8gvx7/Gz8Vvw//Cv8HPwO/AD77vvb+8b7s/uh+5L7hvt7+3D7Zfta+1D7R/s++zX7LPsi+xz7F/sU+w/7Bvr7+uz63PrM+r36svqq+qb6ovqc+pP6ivp/+nb6bvpp+mj6a/px+nb6d/pz+m36afpo+mr6bfpx+nT6dfp1+nL6bfpn+mP6Yvpj+mb6afps+m76b/px+nX6e/qD+ov6kPqT+pT6lfqY+p36pPqq+rD6t/q++sX6zfrV+t365/rx+vn7APsG+w77F/sf+yb7Lfs0+z37R/tP+1P7U/tT+1X7Wvte+2H7Yvtj+2X7aPtr+2z7bvty+3b7evt8+3z7fPt9+3/7gvuE+4j7jPuR+5b7mvud+6H7qfuy+7r7wfvE+8f7y/vR+9n74fvp+/D79fv6+//8BfwM/BP8Gfwb/Bv8GfwZ/Bv8Hvwi/CX8KPws/DH8OPxA/Er8U/xZ/Fz8Xvxj/Gr8dfyA/In8kPyV/Jr8n/yl/Kz8tvzB/M382fzl/O789vz8/QL9B/0L/Q/9Ef0V/Rv9J/05/U/9Zf14/Yr9nf2z/cn92/3k/eX94/3m/fD9//4M/hb+H/4s/kL+XP51/oj+lf6h/q7+vf7M/tn+5f70/wX/GP8o/zX/Q/9U/2f/ev+K/5j/qP+8/9P/6wABABgAMgBQAG8AiwChALIAwgDSAOMA9AEHARsBMgFIAV4BdQGQAa4BygHgAfMCBwIgAj4CWgJuAoAClAKxAtEC7QMEAxcDLwNMA2YDewOMA6IDwAPiA/4EEgQnBEMEYARpBE8EGwPvA+wEFgRXBJIEwgT5BUkFsAYQBlEGcgaQBsoHIgd/B8IH3QfaB9IH0gfaB+QH6gfsB+4H8AfxB/EH6QfTB6YHZQcYBswGiAZMBhMF3AWwBZEFfAVjBT8FGAT7BPME+AT4BOcEywSzBKgEpwSiBJIEfgRzBHkEiQSVBJcEkQSJBH4EZgQ0A+YDhAMdAr8CcAIvAfsBywGYAV4BHgDgAK0AiQBxAF0ASAAyACAAFAAMAAH/8P/a/8H/qP+P/3j/Yv9Q/0P/OP8v/yf/Iv8f/x3/GP8P/wX+/f76/vr++f7z/un+3v7W/s/+yf7B/rX+qf6b/ov+ef5j/kz+Mf4W/fv94f3L/bX9oP2J/XP9Yf1U/Ur9Qv05/TL9MP01/T79Rv1N/Vb9ZP12/Yn9nP2t/cL92f30/g3+Jf4+/ln+d/6V/rP+z/7u/xD/M/9V/3T/kf+y/9f//wAqAFkAjgDJAQcBQQF0AaIB0AIAAi8CXAKFAqwC1AL8AyIDRQNnA4kDrQPRA/QEFwQ6BF8EgwSkBMUE5wUOBTcFYAWIBbAF3QYNBj0GaAaOBrQG3gcMBzgHXweAB6EHwQffB/kIEAgqCEsIcgiWCLMIygjiCP8JHgk5CU0JXwl3CZUJsgnICdUJ3gnoCe8J7gnjCdYJzwnUCdwJ3wnbCdUJ0wnUCdIJyQm6Ca4JqAmjCZoJigl3CWoJYglbCU8JQQk1CS8JLAknCSMJIgkjCR0JCgjsCNEIxgjKCMoIvQioCJ8IrgjDCL8IjwhICBcIIAhZCJYIqwiNCFYIJQgBB9sHpgdrBz8HMgdAB28HiQe2B/MINAhjCHIIZAhOCEMIRwhNCEkIPwg8CEsIZwiDCJMInQisCMYI5wkECRkJKQlBCWMJiAmlCbQJtQmyCbAJtAnBCdsKAwo2CmwKlwqxCroKuQq4CrwKxQrQCtoK3wriCuIK3wrZCs8KxQrBCskK3wsACyILPQtOC1cLXAtkC3ALfQuLC5cLoQuqC7MLvQvJC9kL7QwBDBMMIQwrDDUMQgxTDGgMfgyUDKkMvQzPDN8M6wz0DPkM/Az/DQMNCQ0RDR0NKg03DUENRA09DS8NHA0NDQcNCw0UDRwNIA0eDRwNGQ0UDQsM/QzxDO0M9A0BDQ0NEg0UDRwNMQ1WDYINrw3ZDgEOLA5cDpQO0w8UD1IPgw+iD7IPwQ/jEB8QbhC7EO8RBhEIEQoRFBEmETcRQBFDEUcRUxFpEYMRnRG3EdAR4RHiEc0RoxFuET4RHREPEQwRDREPERIRGhEmETMRORE0ESYRFBEEEPkQ9BDyEPQQ+BD9EQQRCxEQERURGhEhESYRJxEkERwREBEAEO0Q2RDGELUQqhCkEKIQoBCfEJsQkRCAEGgQSBAkD/8P2A+yD4sPZw9HDysPDw7yDtQOtg6eDowOfg5vDloOQA4iDgEN3Q22DY0NZA09DRkM+QzcDMIMqwyaDIoMewxnDFAMOQwmDBoMEQwHC/kL6AvYC8oLvwu1C6wLpQuhC6ELnwuXC4cLdQtnC2ELXQtXC00LQAs0CysLIgsSCv0K4grJCrIKnQqHCm8KVwo/CikKFAoCCfIJ5gncCdAJwAmtCZkJhwl0CV4JRAkoCQ8I+QjkCM0IswiYCH8IaghXCEMILAgSB/gH3wfHB60Hkgd1B1oHQwctBxYG+gbYBrIGiwZjBjwGEQXjBbMFiAVkBUkFMwUcBQAE3gS4BJEEbQRJBCcEAgPbA7MDjANoA0cDJgMBAtgCrAKBAlgCMQIJAd8BtAGLAWUBPwEVAOYAtgCHAFsAMAAC/9D/nv9v/0P/GP7r/rz+jP5e/jP+B/3Y/ab9c/1E/Rf86/y8/Ij8Uvwd++/7x/uk+4H7Wvst+vr6wvqK+lf6LPoM+fP53fnD+aP5fflU+Sv5AvjZ+LL4jPho+Eb4Iff699H3q/eM93P3W/c/9xv28fbJ9qb2ivZx9lb2OfYa9fz14fXH9a31kvV49WL1UPU/9S31F/UB9O703/TU9Mr0vvSx9KT0l/SL9ID0dfRt9Gj0Y/Rd9FT0TfRJ9Ev0T/RR9FH0U/RX9F70ZfRp9Gn0aPRo9Gn0afRp9Gv0bvRx9HH0b/Rv9Hf0hfSU9Jz0nfSd9KT0tvTL9Nn03PTb9N/07vUE9Rj1JvUv9Tj1RfVV9WP1avVs9W71c/V99Yv1mfWn9bT1wvXV9ez2B/Yj9jz2UvZn9nz2k/ap9r720Pbi9vX3C/ch9zr3VPdy95H3rvfJ9+D3+PgT+DL4Ufhs+IT4mviw+Mf43vj1+Q/5LPlL+WX5c/l3+Xn5gfmU+av5v/nJ+dD53Pnw+gf6Gvoj+iX6Kfow+jj6PvpF+lr6j/rr+2f78fx0/OT9Pv2E/br94/4D/hj+IP4T/er9pv1S/P38tvyH/HP8dvyI/J/8sfy6/Lz8vPzA/Mn81Pzc/OT87vz+/RT9Kv09/Uz9Wv1r/X/9lv2v/cb92f3n/e798f3z/fr+Bv4W/ib+OP5M/mD+cP52/nP+bv50/ov+rf7S/vH/Cf8g/zv/Wf94/5T/rf/H/+L//QAYADIATwBtAIkAogC6ANcA/gEqAVIBaAFsAWoBcwGTAccCAQIzAlgCdgKSArMC2AL+AyIDRwNvA50D0wQPBE8EjAS7BNQE0wS/BKMEjQSABHgEcgRrBG4EhQS1BPUFMgVcBW0FbQVpBWwFeAWKBZoFpgWrBasFpQWcBY4FfwVtBVoFRQUwBR4FDgUBBPIE3wTIBLEEoQSZBJsEoQSjBJoEgQRcBC8EAAPSA6UDdwNGAxMC3gKlAmgCJQHiAaUBbwFAARUA7gDNALMAnwCIAGsARQAc//P/z/+u/5D/c/9Z/0H/KP8N/vD+1f7C/rj+tv64/rr+vP68/rv+uP6z/q7+p/6d/pL+hf58/nj+eP53/nT+cv59/pb+t/7M/sP+mv5g/ir+C/4F/g3+GP4e/h3+GP4P/gL98f3e/c/9xv3C/b/9uP2r/Zz9jv2G/YL9fv1z/WL9Tf05/Sn9G/0L/Pj85PzS/ML8sfyb/IP8bvxh/Fv8WfxU/Ej8N/wj/BH8APvy++T71/vK+7v7q/ub+4z7f/t0+2n7X/tW+077Rvs7+y77H/sS+wn7BPsA+vr68Prj+tb6yPq6+q36ofqZ+pT6kfqN+on6g/p7+nH6ZfpY+lD6UPpW+l/6Zfpn+mX6Y/pk+mj6bfpw+nP6dPpy+m/6avpk+l/6Xfpe+mH6Zfpp+mv6bPps+m76c/p7+oL6iPqJ+on6ifqL+o/6k/qZ+p/6qPqy+rv6wvrH+s/62frm+vL6+/sD+wr7Evsb+yP7Kvsx+zz7R/tQ+1X7VftW+1j7Xvtk+2j7avts+2/7c/t2+3j7e/t/+4T7ifuL+4r7h/uF+4X7h/uJ+4z7kfuW+5z7oful+6n7sPu5+8H7x/vL+8/71Pvb++L76Pvu+/T7+vwB/Af8DPwR/Bb8Gvwd/Bz8G/wa/Bv8Hvwj/Cj8LPwv/DP8OPw+/EX8TPxT/Fj8Xvxl/G78efyF/JD8mfye/KD8ovyl/Kv8tPy//Mz82Pzk/PD8/P0H/RD9F/0d/SH9JP0m/Sz9N/1I/Vz9cP2A/Y79oP25/dn99f4F/gT9+P3s/ev99v4J/h7+MP5C/lb+av58/or+lv6h/rD+v/7O/tv+5/71/wX/Ff8k/zL/Qf9S/2b/eP+H/5X/pf+6/9L/6gACABoANgBUAHIAjACiALQAxQDWAOgA+wENASEBNQFIAV0BdAGQAa0ByAHeAfECCAIjAkACWQJsAn4ClAKyAtAC5wL4AwgDHwM9A1sDdAOKA6UDxgPoBAIEFQQpBEMEWwRbBDcEAQPdA+kEJARsBKIEvwTeBRwFewXhBi8GYAaHBsAHEAdkB54HswewB6wHtAfJB90H5wfjB9MHvAekB4wHdQdYBy8G+Aa6Bn0GRwYXBekFvgWaBX8FagVNBSUE9gTSBMIEwwTGBL4ErgSeBJgElgSQBIIEcQRqBHAEfASDBH8EcwRkBE0EJQPhA4UDHwLDAnoCRAIYAewBuwGBAUIBAgDJAJ8AhABwAF4ASAAxAB8AFAANAAL/8f/a/8D/pf+K/27/Vv9E/zv/Nv8y/y3/Kf8n/yf/JP8c/xH/B/8B/v7++/70/uj+2/7T/s/+zP7I/sL+uv6x/qT+k/58/mH+RP4o/g799v3g/cr9tP2e/Yr9ef1r/WD9VP1I/UD9P/1D/Un9UP1W/V79bf1//ZL9ov2w/cD91P3t/gf+IP45/lX+c/6U/rX+1/75/xz/Pv9e/3z/m/+8/98AAwApAFIAgwC8APoBNQFqAZsBywH9Ai4CWwKFAq0C1gMAAykDTQNvA5ADsQPTA/QEFwQ8BGMEigSvBNIE9QUbBUMFawWSBbsF5gYVBkIGawaPBrQG3AcHBzIHVwd5B5oHuwfaB/QIDQgoCEkIbwiTCLAIygjlCQQJIwk+CVMJZwl/CZwJtgnKCdcJ4gnuCfcJ9QnoCdgJzwnSCdoJ3wneCdoJ2AnZCdgJ0AnECboJtAmuCaIJkAl9CXAJaAliCVoJUAlJCUUJQAk1CSgJHwkZCRIJAgjoCNEIxQjFCMYIwAi5CMMI4Aj7CPIIughsCDoIQwh3CKIIlwhWCAcH1wfVB+UH5gfJB5wHdwdoB78H0AfyCB0IRwhhCGMIUAg7CDMIOwhICE0ISwhMCFkIcgiLCJ4IrAi9CNcI9wkUCSsJQAlaCXwJnQmzCboJtAmpCaMJpwm6Cd0KEApKCn8KowqwCq4KqAqoCrIKwQrPCtYK1QrRCs4KzQrOCs4KzArLCtEK4Qr7CxsLOgtTC2ILawtxC3kLgguOC5sLpwuyC74LzAveC/UMDAwhDDAMOwxCDEkMVAxiDHMMhwyaDK0MvQzKDNQM3QzlDO4M+A0ADQcNDg0UDR0NJw0xDTgNOQ0yDSUNFg0LDQcNCQ0PDRQNFw0XDRYNEw0MDQMM+Qz2DPwNCg0bDSYNKQ0qDTINSQ1xDaYN3g4TDkAOaA6TDscPCA9RD5IPvg/TD9sP8BAjEHUQ0BEaEUERSRFEEUYRVhFrEXwRgxGIEY8RnBGtEbsRxRHOEdcR3xHcEcoRpxF8EVUROhEtESkRKBEnEScRKhEyEToRQBFAETgRKxEcEQ4RBBD+EP4RBBEMERMRGBEaER0RIREoES8RNBEyESgRGREGEPIQ3hDNEL8QthCxELEQsxC1ELIQqBCXEH8QYhBDECEP/Q/ZD7UPlA92D1gPOA8XDvYO2w7FDrQOow6ODnMOVQ42DhYN8w3MDaINeQ1RDS4NDQzuDNEMuAylDJgMjQx+DGsMVgxDDDQMKAwbDAwL/AvuC+IL2AvNC8ILugu3C7cLtAupC5cLhAt3C3MLdAtxC2oLXwtXC1ILSws9CyYLCArrCtMKwAquCpsKhgpyCl8KTQo9Ci0KHgoOCf0J6gnWCcIJrwmbCYUJbQlVCT0JJwkPCPQI1wi6CKAIjAh6CGgIUwg7CCEIBgfsB9IHuAeeB4YHbgdVBzoHGQbzBsoGoAZ4BlIGLQYIBeMFwgWjBYcFaQVIBSQE/gTZBLYElARwBEsEJAP8A9YDsgOQA24DSwMlAvwC0wKrAoQCXAIyAgYB2gGyAYwBZgE9ARAA4QC0AIkAXwAzAAL/0f+g/3L/Rv8Y/un+uv6N/mP+OP4K/dr9qf15/Uz9H/zx/MD8jfxc/DD8Cfvm+8P7m/ts+zf6//rJ+pn6cfpS+jj6H/oE+eP5vfmS+Wb5PPkV+PD4zPin+ID4WPgw+Ar35/fJ9633kPdv90n3IPb59tf2u/ah9ob2aPZJ9iz2EvX59d/1xPWr9Zf1h/V39WP1SvUv9Rj1B/T69O/05PTY9Mz0wfS09Kb0mPSM9IX0gfR+9Hr0dvR09HX0dvR19HP0dPR69IL0ivSM9In0hvSF9If0i/SP9JH0kfSQ9I70jPSO9Jj0pvS09Lr0u/S99Mb01/Tq9Pf0+vT69P31CPUY9Sf1NPVA9Uz1W/Vq9XX1evV89X71gvWL9Zf1pvW19cP10vXj9fn2FPYx9kr2YPZ09oj2n/a29sr23Pbv9wT3G/cy90n3YPd795n3t/fR9+b3/PgV+DT4Vfhz+In4m/iu+MT43vj6+RX5MPlH+Vn5Y/lo+W35dvmH+Zz5rvm7+cb50/nj+fP6AfoL+hX6Ifot+jT6Nvo3+kX6bPqx+xD7ffvv/Fr8uf0I/Uf9eP2f/b39yv29/ZD9SPzz/KT8afxL/Ej8X/yF/K38yPzP/MT8s/yo/Kf8rPyx/LX8vfzN/OX9Af0Y/Sj9Nf1E/Vb9bP2C/ZX9ov2p/ar9qv2u/br9z/3o/gD+Fv4o/jb+PP47/jf+Nv5C/lr+ef6U/qv+v/7X/vX/Ff8z/07/af+J/6n/xP/X/+b/+QAXAD4AZgCHAKUAxADoAQsBIwEqASQBHAEhATgBXwGNAb0B7AIaAkkCeAKoAtsDEgNOA4wDygQEBDYEXAR0BH8EgAR8BHoEfgSFBIwEjwSPBJQEpgTKBPkFJgVFBVAFSwVBBTwFPgVGBUwFTQVLBUgFRQVABTcFKAUVBQEE7wTeBM4EvgSuBJwEiQR1BGEEUwROBFUEZQR0BHkEbARNBB8D6AOwA3gDQgMOAtgCoAJiAiAB3AGdAWYBNwEMAOMAvQCbAH0AXQA3AAb/0f+e/3X/WP9B/yr/Ev75/ub+1/7L/r3+qv6V/oH+cv5r/mr+bf5w/nH+bf5n/mD+Wf5R/kr+R/5L/lP+V/5P/jz+LP4y/lb+kf7I/t7+xf6J/kH+CP3o/d393f3d/dr91f3P/cn9wP22/av9ov2b/Zb9j/2I/YH9e/13/W79Xv1H/S39Gf0N/Qf8//zx/N38xvy0/KT8lfyC/Gz8V/xJ/EH8PPw1/Cr8HPwM+/z76vva+8v7wPu5+7D7pfuW+4b7ePtr+2D7WPtS+037R/s8+yr7FfsD+vb68Prr+uP62PrL+r/6tPqq+p76kvqI+oD6e/p4+nb6dfpx+mf6WfpJ+j36OPo9+kb6T/pV+ln6Xvpk+mv6cfp0+nP6cfpu+mr6Zfpi+mD6X/ph+mT6aPps+nH6c/pz+nP6dfp4+nz6f/p/+n/6gPqD+oj6jfqS+pn6ovqs+rX6u/q/+sb60frf+u76+PsA+wj7Efsc+yb7Lvs2+z/7SvtT+1j7Wvtb+177Y/to+237cPt0+3r7gPuD+4X7hvuI+437kfuU+5P7kPuO+477j/uQ+5P7l/uc+6H7pvur+7D7tvu9+8P7yPvN+9P72/vj++r77vvz+/j7//wH/A78EvwV/Bj8G/wd/B38Hfwd/B/8Ivwm/Cr8Lvwy/Db8Ovw+/EL8SPxP/Fj8YPxn/G/8efyE/JD8m/yg/KP8pPyo/LD8uvzF/M381fze/Or8+P0H/RP9Hf0m/S39M/03/T39Rv1W/Wr9fv2M/Zf9pf29/d/+Av4Z/hz+Df36/fH9+f4Q/iz+Rf5X/mP+bP50/n3+iP6W/qf+uf7J/tf+4/7x/wD/D/8d/yz/Pf9Q/2P/c/+B/4//of+3/9D/6gAEAB8APABYAHMAigCeALEAxgDbAO8BAwEVAScBOAFJAVsBcgGOAasBxgHdAfMCCwImAkICWQJrAn8CmAK0As4C4QLuAv4DFwM3A1UDbwOHA6QDyAPqBAMEEwQjBDcERwRBBB4D7wPZA/EEMgR4BKQEtATDBPMFRwWqBf0GOwZxBrMHAgdKB3YHgAd7B34HkgexB8sH1QfLB7IHjgdlBz0HGAb0Bs8GpAZ0BkQGGAXvBcgFpAWFBWwFVQU2BQoE1wStBJgElwSdBJ4EmASOBIgEhQR9BHEEZARfBGQEbARvBGgEWARABBkD3AOJAykC0QKPAmUCSAImAfUBtQFtASQA5ACwAI0AeABoAFgARgAyACMAGAAOAAL/8P/Z/8D/pP+G/2f/TP87/zX/Nf80/zD/K/8p/yn/KP8i/xf/DP8E/wL/AP76/u/+4v7Z/tP+z/7L/sX+v/63/q7+n/6K/nD+VP45/iD+Cf3y/d39yP21/aT9lv2J/Xv9bf1g/Vf9U/1U/Vf9Wv1f/Wn9e/2Q/aP9sP25/cP90/3q/gT+Hv43/lL+b/6R/rT+2P78/yD/Qv9j/4L/ov/D/+YACQArAFEAfwC1APABKwFhAZQBxgH4AigCVQJ/AqkC1QMBAysDUQNzA5MDswPUA/YEGgRDBG8EnATFBOoFDQUvBVQFegWhBckF8gYdBkgGbwaUBrkG4AcIBy8HUQdyB5QHtwfYB/YIEggvCFEIdgiZCLgI0gjtCQsJKAlBCVUJaQmCCZ4JuQnOCd4J6wn3Cf0J+QnqCdkJ0QnVCd8J6AnqCeoJ6wntCe0J5wncCdEJxwm8Ca4JnAmLCYAJeglzCWsJZAlhCWIJXwlTCUEJMAklCRwJDgj5COII1AjQCM8IzwjUCOcJCAkgCRUI4AiZCGkIZgiACIsIbAgwCAUIEQhNCI8IpQiACDYH8AfGB/UICgggCDMIQghLCEoIQgg5CDkIQghKCEoIRAhBCEoIXwh5CJAIogi1CMwI5wkCCRoJMwlQCW8JiwmbCZ0JlgmOCY0JmAmxCdgKCQo6CmIKfAqGCooKkAqdCq8KvwrHCscKwQq8Cr0KxArQCtwK4griCt8K4QruCwgLKwtNC2gLdgt7C30LgwuOC58LsAvBC9EL4wv6DBQMLgxDDFAMWAxdDGMMagx0DIAMjgyfDLEMvwzIDM4M0wzbDOgM9w0EDQwNEQ0VDRwNJA0sDTINMg0sDSINFw0MDQQNAQ0DDQcNDQ0QDQ8NCg0CDPwM+w0CDRANIg0yDT4NRA1IDVINaQ2RDcsODw5RDocOrw7SDv4PPA+GD8sP+BAKEBUQMxB1ENMRMhFzEYwRiRGBEYURlhGpEbURuBG8EccR2BHpEfIR8hHuEecR3RHMEbERkRFxEVoRTRFJEUcRRBE/ETwRPBFAEUcRTRFPEUoRQRE0ESgRHhEZERgRGxEgESURKBEnESYRJREoES0RMBEuESQRExD/EO0Q3hDSEMcQvRC2ELQQthC7ELwQtxCpEJQQexBeED8QHg/8D90Pvw+hD4EPXg86DxsPAg7wDt8OyQ6tDowOaw5LDisOCA3hDbcNjg1nDUMNIQ0ADOIMyAy2DKoMoQyVDIYMcgxfDE0MPQwvDCAMEgwEC/gL7QvgC9QLywvGC8QLwAu1C6ULlAuJC4cLiguMC4kLggt8C3cLbwtgC0gLLAsTCwEK9AroCtkKxgqxCp0Kigp4CmYKUQo7CiYKEQn9CeoJ1gnCCawJlgmACWkJUAk1CRgI/AjhCMoItgiiCI4IeAhhCEgILwgWB/wH4wfKB68HlAd2B1UHMQcKBuIGugaUBnEGUQY0BhgF/QXeBbwFlQVrBUEFGgT5BNoEugSXBHAESAQhA/0D2QO1A5ADaQNDAx0C+ALTAq4ChwJdAjICCAHeAbcBjwFlATgBCwDfALQAigBeADAAAf/S/6T/dv9F/xX+5v66/pD+Zv47/g393v2u/X/9UP0h/PH8w/yX/G78R/wj+/370/uk+3D7O/sI+t36uPqY+nz6YPpC+iD5+vnO+aH5dvlP+Sr5Bvjg+Lf4jvho+Eb4JvgH9+X3wfeb93X3UPct9w328PbT9rb2mPZ69l72Q/Yq9g/19PXc9cn1ufWp9ZX1e/Vf9Ub1M/Uk9Rj1DfUC9Pn07/Tj9NP0wvSz9Kn0pPSi9KD0n/Sf9KD0n/Sb9Jf0lvSc9KT0q/Ss9Kf0ofSg9KT0rPSz9Lb0tvS09LH0sPS09Lz0x/TQ9NP01PTY9OP08/UE9Q/1FPUW9Rr1IvUs9Tf1QvVO9V31bfV69YP1h/WK9Y31kvWa9aX1tPXE9dT15PX19gr2I/Y+9lf2bfaC9pj2sPbG9tj26Pb59w73J/c/91T3afeA95z3uvfX9/D4Bvgf+Dz4XPh5+I/4oPiw+MX43fj4+RP5LPlA+VD5Wvlh+Wf5cvmA+Y/5nfmq+bb5xPnR+dz55Pnu+f76Evol+i/6L/ot+jf6VvqN+tj7L/uN++z8SPyY/Nr9Df01/VL9Xv1O/R/82fyL/Ej8HfwN/Bn8Pfxw/KP8xvzP/MD8qPyV/Iz8i/yL/Iz8kvyi/Lr81fzq/Pj9BP0T/Sf9Pv1R/V79ZP1k/WT9Z/1y/Yf9pP3D/d798/4A/gb+Bf4A/fv9/f4L/iP+P/5Y/mz+f/6W/rH+z/7u/xD/Nv9g/4T/mv+i/6b/tf/WAAMALgBMAGAAdQCVAL0A4ADtANwAtwCTAIcAnwDZASkBfAHFAf8CMAJkAqIC6QMzA3gDsAPYA/ED/gQDBAgEEwQnBEEEXARwBHgEdgRvBGwEdASKBKoEzATnBPUE9gTwBOkE5ATfBNgEzwTGBMAEvQS7BLQEqASZBIwEgwR9BHUEaQRZBEYENAQiBBAEAwP9BAMEEwQoBDgEOQQnBAEDzAOOA00DCwLLAokCRgIAAboBeQFBARMA6gDCAJsAdQBSAC8AB//W/5v/Xv8q/wX+7v7d/sz+t/6j/pL+iP6D/n3+cv5h/kv+Nv4o/iH+IP4h/h/+HP4Z/hf+Ff4S/g7+Df4T/h7+JP4e/gv99/34/hn+Vv6Y/sH+v/6V/lT+FP3i/cL9rf2f/ZX9jv2K/Yr9iv2K/Yj9hP1+/XX9av1h/V39X/1h/Vr9Rv0n/Qb87/zm/Of85fza/MX8rfyY/If8efxo/Ff8SPw8/DP8Kvwe/BH8A/v1++b71PvB+7H7p/uj+6D7mfuN+337bftf+1P7TPtI+0b7Qvs3+yX7Dfr3+ub63frW+s36wfq0+qn6oPqZ+o/6hfp5+nD6afpm+mX6Zfpi+lr6Tfo++jH6Kvos+jL6OfpA+kj6U/pg+mv6cvpz+nD6a/pl+l/6W/pa+lz6YPpk+mj6bPpx+nf6fPp++n36evp5+nj6ePp5+nr6fvqF+o76lfqa+p/6pfqs+rP6uPq9+sT60Prd+uv69fr9+wb7Efse+yr7M/s6+0P7TftX+1/7ZPtn+2r7bvty+3b7evuA+4b7jfuQ+5D7j/uP+5L7lvuZ+5r7mfuZ+5r7nPud+5/7ofuk+6j7rfuy+7j7vfvC+8b7yfvO+9b73/vp+/D79Pv4+/38BPwM/BL8FvwZ/Bv8Hvwf/CD8IPwh/CT8KPwr/C38L/w0/Dn8QPxF/En8TvxV/F78Zvxs/HD8dfx+/Ij8kfyX/Jr8nfyl/LL8wPzL/NH81vzc/Of89v0E/RL9Hf0q/Tf9RP1N/VT9Xf1r/X39kf2e/ab9rf27/dT98v4L/hX+D/4F/gH+Df4k/kH+WP5m/mv+bP5u/nX+gP6Q/qL+s/7D/tL+4P7u/v3/C/8Z/yn/O/9N/17/bP96/4n/nf+1/87/6QADAB8APABYAHEAhwCbALEAyQDhAPcBCgEbASwBPAFMAV4BcwGMAagBwwHdAfUCEAIsAkcCXgJyAoYCngK5AtAC4gLzAwkDKANJA2UDegOOA6cDxwPmA/oEBgQSBCMEMQQuBBMD8wPpBAgERwSHBK0EvATMBPYFPwWTBeEGJgZsBrsHCAc8B0sHPgcwBzoHXQeHB6QHqQeaB34HWwczBwgG3ga3BpMGbgZFBhsF8wXNBasFjAVyBV0FRgUlBPcEwQSTBHoEdwSABIgEiASCBHsEdARtBGIEWARTBFQEWwRfBFwETAQrA/MDogNBAuQCngJ4AmgCWgI5Af0BrQFXAQgAyACZAHoAaABdAFIARQA4ACoAHgAQ////6v/U/7z/ov+D/2P/R/82/zD/MP8v/yr/Jf8i/yP/I/8f/xX/Cv8E/wP/Av79/vP+5v7b/tT+z/7K/sT+vf62/q7+ov6R/nr+Yv5J/jH+G/4G/fL93/3O/b/9sf2i/ZP9hP13/W39af1o/Wn9a/1w/Xz9jv2j/bT9v/3F/c392/3w/gj+Iv47/lX+c/6U/rf+2/7+/yH/Q/9j/4T/pf/I/+wAEAA0AFoAhgC5APABKAFeAZIBxAH1AiUCUgJ/AqsC2AMCAyoDTgNwA5IDtQPZA/0EJARPBH4ErATWBPoFHAU+BWMFigWxBdgF/wYoBlEGeQafBsUG6wcQBzIHUgdyB5UHugfeB/8IHgg9CGAIhAimCMMI3Qj2CRAJKgk/CVEJYwl7CZgJtgnQCeUJ9An/CgMJ/AnuCeAJ2wngCewJ9Qn4CfoJ/goDCgUKAAn1CegJ2gnLCbsJqgmdCZYJkgmMCYMJewl4CXoJeglxCWAJTglDCTwJMwkiCQ0I/AjzCPAI8Qj2CQQJGAkjCRQI6AiwCIgIfQiACHgIXAhCCE8IkQjuCS8JKQjdCHMIHAf0CB0IOwhHCEYIQQhBCEMIRQhFCEUIRQhDCDsIMggwCDsIUghsCIIIkwigCLEIxgjeCPkJFgk2CVQJawl4CXoJeAl5CYQJmwm8CeMKCQopCkEKUApcCmwKggqaCqwKtQq0Cq8KqwqsCrMKwArSCuQK8Ar1CvEK6grrCvsLGgtBC2MLeQuBC4QLiguZC64LxAvXC+cL+gwRDC0MSAxdDGkMcAx1DHsMgQyIDI4MlwykDLMMwQzKDM8M1AzdDOoM+Q0EDQoNDQ0SDRoNIw0rDSwNKQ0jDRoNEA0FDPsM9Az1DPsNBA0JDQYM/wz4DPkNAg0TDSUNNw1GDVMNYA1sDXsNkw26DfUOQA6MDsgO8Q8PDzcPcw+/EAUQMhBGEFUQfBDHESgRghG4EccRvxG4Eb8R0BHcEd0R1xHTEdkR6RH6EgYSCxIKEgER7xHSEa4RihFvEWERXRFeEV4RWxFYEVcRWhFgEWcRaxFqEWMRWRFOEUcRQxFCEUERQBE/EUARQRFAETsRMxEsESkRKBElER0RERECEPYQ7RDmENwQ0RDFEL0QvRDBEMUQxBC7EKsQlRB6EFwQPBAcD/8P4g/FD6QPgQ9hD0cPMw8gDwoO7g7LDqcOhA5jDkEOHA30DcsNow19DVkNNw0XDPoM4gzPDMIMtgypDJoMiAx1DGIMUgxDDDYMKAwaDAwL/wvyC+QL2QvQC8sLxgvAC7YLrQumC6ULpwuoC6cLowueC5cLjgt/C2oLVAtBCzYLLwsnCxoLBgruCtcKwgquCpkKgQppClEKPQoqChcKAwntCdcJwgmrCZIJdglYCTwJJQkSCQAI7AjVCLsIogiKCHQIXAhDCCgIDQfwB9IHsQeOB2sHRwckBwAG3Aa5BpkGewZhBkYGKgYLBeYFvQWRBWcFQQUgBQEE4AS8BJUEbgRJBCYEAgPaA7EDiQNiAz8DHQL6AtQCrgKGAl8CNwIOAeQBuQGOAWMBNwEMAOAAswCGAFoALwAE/9f/qP94/0f/F/7r/r/+lP5o/jv+Df3e/a79ff1N/SD89vzP/Kj8gfxY/C/8AvvS+6D7bvtC+xz6/Pre+sD6ofqA+lz6NfoK+d35svmK+WT5PvkV+Ov4w/ig+ID4Yfg/+Bn38ffL96j3h/dm90X3JPcE9uT2xvap9o32cvZY9j72JPYN9fr16fXW9cD1pvWL9XP1YPVQ9UP1OPUu9Sb1HfUQ9P/07fTd9NL0zPTI9Mb0xPTD9MP0wfS99Lj0uPS99MX0zPTN9Mj0w/TB9Mb0zfTU9Nf01vTU9NL00/TX9N305PTo9Or07PTz9P71DfUa9SP1KfUu9TX1PfVE9Ur1UvVe9W31ffWJ9ZH1lvWa9Z71pPWq9bT1wfXQ9eH18fYC9hf2MPZK9mP2evaQ9qf2wPbW9ub28/cB9xT3LfdH91z3b/eE9533vPfc9/j4EPgo+EL4Xvh5+I/4oviz+Mb43Pj1+RD5K/lD+VP5W/ld+V/5Zvly+X/5jfmZ+af5tvnE+c350vna+er6AfoY+iX6Jvoi+if6P/pq+qb66/s6+4774/wx/HH8ovzE/Nj82fzD/JT8VvwZ++v71PvT++n8EvxG/Hv8oPys/KD8ivx1/Gn8ZPxh/GD8ZPxy/Ij8n/yx/L/8zPze/Pb9DP0d/SX9J/0o/Sz9Nv1I/WH9gP2d/bX9w/3J/cj9wv28/bn9vf3M/eb+Bf4k/j7+Uv5j/nX+jv6v/tv/Dv89/17/bP9u/3L/hf+p/9P/9QAHABAAIABAAGoAigCLAGIAHv/d/8P/5wBHAMcBQwGgAdkB/wIqAmkCuQMLA04DeAOLA5IDkgOWA6ADtgPWA/sEGgQrBCwEIQQVBBAEEwQhBDcEUgRrBH8EiQSIBIAEcwRjBFEEPwQwBCYEIAQcBBUECgP+A/gD+AP9BAED/gPzA+QD0wPDA7QDpgOeA58DqgO9A9ID3wPdA8YDmwNfAxgCzAJ9Ai0B3QGOAUUBBgDSAKcAgABaADMADf/p/8P/mP9m/zD+/f7T/rX+of6Q/n/+a/5Z/kn+P/44/jH+Jv4X/gX98/3m/d792f3V/dD9zP3L/c/91f3Z/df90/3T/dj93v3e/dX9xv3B/dH9+P4q/lP+Zf5Z/jX+B/3Y/bD9kP13/WX9Vv1M/Ub9Rf1K/VL9XP1g/Vv9T/1B/Tn9O/1A/T/9L/0R/O/81vzM/Mz8zPzC/K78lvyA/G/8YfxT/Eb8O/wx/Cf8GPwH+/X75vva+8z7uvul+5T7i/uJ+4n7hft8+237XPtO+0L7Ovs2+zP7L/sm+xb7Afrr+tn6zPrC+rf6q/qe+pT6i/qE+nz6dPpt+mb6YPpb+lj6VvpT+k36Q/o4+i36Jvok+iX6J/ot+jb6RPpU+mD6Zvpn+mL6XPpU+k36SPpJ+k76V/pf+mX6afpu+nX6e/p/+n/6e/p3+nX6dfp1+nj6fvqH+pP6nfqk+qj6q/qw+rb6u/rB+sn60/rf+ur68/r7+wX7EPsc+yf7L/s2+z/7SvtX+2L7a/tx+3f7fPuA+4T7iPuM+5H7lvuY+5f7lvuW+5j7nPuf+6D7ofui+6X7qPuq+6v7rfuu+7L7tvu8+8L7x/vL+8370PvU+9z75fvu+/X7+fv+/AP8CvwQ/BX8Gfwd/CL8JPwl/CP8Ivwl/Cr8L/wy/DH8Mfw1/D38RvxO/FT8Wfxg/Gn8cPx0/HX8dvx6/ID8h/yL/I78lPyf/K/8wPzM/NP82fzh/O38/P0K/RX9IP0v/UH9VP1k/XD9ef2F/Zb9qf23/b79wP3E/c/94P3z/gD+B/4L/hP+I/45/lD+Yf5r/m7+cP51/n7+i/6a/qn+tv7D/tH+4f7x/v//C/8Y/yb/Nv9H/1f/Zf90/4b/nf+1/87/5wAAABsANwBTAGsAgQCXAK8AyADgAPUBBwEXASgBOgFMAV8BcwGLAaQBvgHYAfMCEQIvAkwCZAJ5Ao0CogK5As4C4wL7AxoDPgNhA3oDigOYA6sDxAPaA+oD9gQGBBwELwQxBCAECQQIBCoEZwSmBNME7wULBTYFcQWxBe8GMwaDBtcHGAcsBxAG4AbFBtcHDAdFB2cHaQdVBzoHHgb/BtoGsgaLBmYGQQYaBfEFywWrBY8FeAVjBU8FOQUaBO8EvASOBHIEawR0BH4EgQR7BHMEawRkBFwEUwRLBEkETgRWBFgESgQiA9oDeQMPArUCewJkAl8CUwIuAe0BmAFAAPEAswCHAGoAWwBTAE0ARQA6AC0AHgAM//f/4f/K/7T/m/9//2D/Rf8z/yv/KP8k/x7/F/8U/xX/Fv8T/wz/BP8A/wD+/v74/uz+3f7R/sr+xv7B/rz+tv6x/qv+o/6W/oP+bv5Y/kL+Lf4a/gn9+P3o/dj9yf26/av9nP2Q/Yf9g/2D/YX9if2P/Zn9p/24/cb90f3Z/eP98f4E/hn+L/5H/mH+f/6h/sT+5v8H/yn/Sv9s/43/rv/R//QAGAA9AGIAiwC5AOwBIQFXAYwBvwHwAiACUAKAArAC3QMGAyoDSwNuA5QDvQPnBA8EOARiBI0EuATgBQMFJQVIBW8FmAXABecGDgY2Bl8GhgatBtEG9AcWBzUHVQd2B5sHwgfnCAkIKQhJCGwIkAixCM0I5Aj6CRIJKAk8CUwJXQl0CZIJswnSCewJ/goJCgsKBQn7CfIJ7wn0CfoJ/gn/CgIKCAoPChIKDgoECfYJ6QnaCcoJugmwCawJqgmmCZ4JlgmTCZQJlAmMCXwJbAliCV4JWQlOCT0JLQkjCR0JGQkVCRMJEwkOCPsI2gi3CJ8IlgiSCIcIdwh1CJgI3QkiCTkJCwipCEQICAgCCFEIZwhiCE0IOwg1CDkIPQg9CDgIMggsCCkILAg5CFAIbAiECJEIlQiWCJwIrQjHCOgJDAktCUgJWgljCWcJawl3CY4JrgnUCfgKFQonCjEKOQpICl8KewqSCp4KngqaCpgKnAqlCq4KuArECtYK6wr9CwULAgr+CwILFgs4C1wLeQuKC5QLnguuC8QL2gvsC/sMDAwjDEAMXAxwDHwMggyHDI4MlgycDJ8MogyqDLYMxAzQDNkM4QzqDPUM/g0CDQMNBQ0NDRgNIg0mDSINGg0SDQsNBQz9DPQM7gzwDPgNAQ0EDP4M9QzyDPoNDQ0kDTgNRw1VDWYNfA2UDawNyQ3xDisOdQ6/DvwPJw9KD3YPtQ//EEAQaBB8EJAQvxENEWsRuhHmEe4R5hHjEe0R/BIDEfwR7RHfEdsR4BHsEfsSChIVEhYSCBHqEcQRoBGHEXoRdhF1EXMRchFzEXgRfxGIEY4RkBGMEYMReRFyEXERdRF4EXcRcRFqEWYRZRFiEVoRTBE8ES8RKhEpESYRIREYERERCxEGEP8Q8xDlENoQ1BDTENMQ0BDJELsQqRCTEHgQWxA+ECEQBA/mD8YPqQ+RD30Paw9VDzcPEg7rDsYOpA6BDlsOMw4KDeMNvg2aDXYNVA00DRkNAQzsDNkMxgy1DKQMlAyDDHMMZAxWDEgMOwwsDB8MEwwHC/sL7QvhC9cL0QvRC9EL0QvPC8sLyAvEC8ELvQu4C7ILqwugC5ILggt0C2oLYgtaC0wLOAsfCwcK8QrcCscKsAqZCoIKbgpbCkgKMwocCgUJ7gnVCboJnAl+CWYJVQlICTkJJAkJCOsIzwi3CKAIiAhtCFAIMAgQB+0HyQekB4IHYQdCByMHAwbkBsUGpwaKBmsGTAYqBggF4wW8BZUFbwVMBSsFBwThBLkEkgRuBEsEJgP/A9UDrQOIA2UDQwMeAvYCzwKpAoUCYQI5Ag4B4gG3AY0BZQE7AQ0A3gCvAIQAWwAzAAj/2v+r/33/UP8j/vX+xf6W/mf+Ov4L/dv9qv17/VH9LP0I/OP8uvyO/GD8MfwB+9D7ovt6+1j7PPsh+wP64fq8+pT6bPpC+hj57vnG+Z75dvlM+SL4/Pja+Lr4mPhy+Er4Ivf/9+D3wfef93r3VPcx9xL29fba9r32ofaG9m72WPZE9jL2HfYH9e310fW39aD1jfV99W/1YvVY9VD1RvU49Sb1E/UD9Pn08/Tu9On05fTh9OD03vTc9Nr02/Tg9Oj07/Tx9O/06/Tq9O308vT19Pb08/Tw9O/08PT19Pr0/vUA9QL1BvUP9Rr1J/Uw9Tb1PPVE9U71VvVc9V/1ZfVv9X71jfWZ9aH1pvWr9bD1tfW69cP1z/Xe9e31/fYP9iT2PvZa9nP2ifad9rP2y/bh9vH2/fcK9xz3NPdO92b3e/eP96b3wvfg9/z4Ffgs+EP4W/hz+Iv4ovi2+Mr43vj1+RL5MvlP+WD5YvlZ+VH5U/lf+XD5gPmO+Zz5rPm7+cb5y/nP+dr57voF+hb6GvoY+hj6JPpB+mv6ofrg+yj7dPu9+/v8J/xD/E38Rfwr/AH71Puv+5v7mfum+8D75PwQ/D38Xvxq/GT8U/xD/Dr8Nfwy/DD8Mvw9/FD8Zfx4/Ij8m/yw/Mf82vzn/O388fz3/QH9EP0k/Tz9Vv1u/X/9hf2C/Xz9dv1z/XX9f/2S/a/91f37/hr+Lv45/kT+Wf5//rH+5f8O/yX/Lv80/0X/Yv+H/6X/tv+9/8P/0v/q//8AAP/h/6T/XP8q/zD/fwAMALIBRAGiAcwB3wH+Aj0ClALrAycDQQNEA0ADQQNMA18DdgOQA6cDtgO4A7ADowOaA5oDoQOtA70D0APmA/oEBwQIA/wD6APRA7kDpAOTA4YDfANzA2cDWANKA0QDSANTA2EDaANoA2ADVQNIAzwDMAMnAyIDJgMzA0YDVgNcA08DLgL4ArMCZAIRAb0BaQEaANIAlQBiADUADP/l/7//m/93/1H/J/77/tD+rP6Q/nr+Zf5Q/jv+KP4Y/gv9//3y/eP90/3D/bP9pv2c/Zb9kv2N/YX9ff15/X39hv2O/ZH9j/2M/Y79lP2b/Zv9k/2I/YP9i/2h/b792P3l/eD9zf2x/ZT9e/1l/VD9Ov0i/Qv8/Pz7/Qf9G/0t/TX9Mf0m/R39G/0f/R/9E/z6/Nz8xPy4/LX8sfym/JP8fvxq/Fr8TfxB/DX8Kvwe/BD7/fvn+9P7xPu5+677n/uM+3z7c/tw+3D7bPti+1T7Rfs4+y77Jvsf+xn7E/sL+v/67/rd+sz6vfqv+qP6lvqK+n/6dfps+mX6YPpe+lv6V/pR+kr6RvpD+kD6PPo0+iz6Jfog+hz6G/od+ib6Mvo/+kj6S/pJ+kb6Q/o++jr6Nvo2+jz6R/pR+lj6Xfph+mf6bvp0+nX6dPpz+nL6cvpz+nT6efqB+o36mvqk+qv6sPq1+rz6w/rJ+tD62Prh+uv69fr++wf7EPsa+yL7KPsv+zf7Q/tR+177aPtx+3j7gPuH+437kfuU+5f7mfua+5r7m/ud+6H7pfun+6n7qvur+677sfu0+7b7uPu7+777wvvH+8z70fvV+9j72/vg++f77/v2+/z8APwF/Ar8EPwV/Bn8Hfwi/Cj8K/wp/Cb8JPwn/C/8Nfw4/DX8M/w1/D38SfxT/Fr8X/xm/G/8d/x8/H38ffx+/IL8h/yL/I78lPye/K38vPzI/NH82vzo/Pn9Cf0X/SD9Kv03/Un9Xv1x/X/9iv2V/aX9tv3I/dT92/3e/eH95v3t/ff+Av4P/h7+L/5A/lD+Xf5n/m7+dv6B/o7+nP6q/rT+vv7I/tX+5f71/wL/DP8V/yH/MP9A/1D/YP9y/4j/oP+5/9H/5v/9ABYAMABKAGIAdwCNAKQAvADSAOUA9gEIAR0BMgFIAVwBcQGHAZ4BtwHQAewCCgIrAkkCYwJ5AosCnAKuAsEC1QLvAw8DMwNUA20DfwOQA6QDuwPOA98D8gQNBC0ERgRJBDYEIgQkBEsEjQTSBQoFNQVdBYkFuAXlBhQGUQagBu8HGwcLBscGegZUBm4GtQb/BykHKwcWBvsG4gbHBqcGgAZYBjIGDAXlBcAFoQWKBXgFZQVPBTcFHwUGBOcEwwSfBIQEeQR7BIAEfwR3BGwEZQRiBF4EVgRMBEYESARRBFQEQwQSA74DUgLlAo0CVgI9AjECHgH3AbsBcAEkAN0AowB5AF4AUQBLAEcAPwAzACUAFAAC/+3/1//A/6n/kP90/1j/Pv8s/yH/G/8V/w3/Bv8C/wL/Av8B/v7++v74/vf+8/7q/tz+zf7B/rn+tP6w/qv+p/6m/qX+ov6b/o7+fP5o/lT+Qv4x/iL+Ev4C/fP95v3a/c/9xP24/a/9qv2q/a39s/25/cD9yf3U/eH97f35/gf+Ff4l/jX+Rv5a/nP+kP6v/tD+8P8R/zP/WP98/57/v//e//8AIgBFAGcAiwCzAOEBFQFMAYIBtgHnAhcCSQJ9ArAC4AMIAywDTQNzA50DywP5BCQETgR3BKAEyATsBQ8FMgVXBX8FqAXQBfYGHQZFBm0Gkwa2BtYG9gcVBzUHWAd8B6MHywfwCBIIMQhSCHUImQi5CNQI6Qj+CRQJKgk/CVAJYQl3CZQJtwnYCfQKCAoTChYKFAoPCgsKCQoICgYKAwoBCgMKCgoSChUKEAoHCf4J9AnqCd0JzgnCCb0JvQm8CboJtwm1CbUJsgmoCZcJhgl6CXUJcQlqCWAJVQlNCUUJOwktCR0JDwkBCPEI3gjPCMYIxAjCCLcIpwigCK4IyQjbCMkIkAhGCBEICQgoCHMIcghaCDwIJwghCCUIKAgmCCEIHQgfCCoIQQhgCIUIowi0CLIIowiVCJQIpgjHCPEJGgk7CVEJXQliCWcJcgmFCaEJxAnoCgcKHAonCisKMgpAClYKbQp+CoMKgQqBCokKmAqmCqwKrQqwCsAK3gsACxkLIQscCxcLHgs2C1gLewuVC6YLsgvCC9UL6gv9DA0MHww3DFMMbgyCDI0MkgyWDJ4MpwyvDLIMswy4DMIM0AzeDOsM9Qz+DQQNBg0EDQENAg0KDRQNHA0bDRINCA0BDP8M/gz7DPUM8gz1DPwNAw0BDPkM8QzxDQANGQ0zDUYNVA1iDXcNlg26DeEOCg44DnAOrg7sDyEPTw9/D7kP/hBEEHkQmRCtEMoRARFSEacR5xIFEgcSARIBEgwSGhIgEhkSChH5Ee0R6BHsEfYSBhIUEhkSEBH4EdsRwBGtEaIRmhGUEZARjxGTEZkRoBGlEacRqBGmEaMRoBGhEacRsBG0EbARpRGWEYsRhRF/EXURZBFREUMRPRE9ET4ROxEzESsRJBEeERcRDhEEEPoQ8RDqEOIQ2BDNEMAQsxCjEJAQehBhEEUQJxAID+sP1A/ED7YPpA+ID2IPOQ8RDu0OzA6nDn0OUg4pDgUN5A3BDZwNdg1UDTcNHw0GDOwM0wy8DKoMmwyNDH8McQxjDFYMSQw9DDQMLAwlDBwMDwv/C/IL6wvsC/EL9Qv0C+4L5gveC9gL1AvRC88LzQvJC8ELtQunC5kLjguDC3ULYgtLCzMLHAsHCvIK3QrGCrEKngqLCnYKXgpFCiwKFQn9CeQJyAmuCZkJigl8CWsJUwk0CRUI+AjgCMgIrgiQCHAITQgqCAYH4Qe+B50HfwdjB0cHKQcMBu8G0QaxBo0GaQZGBiUGBQXjBb8FmgV2BVMFLwUJBN8EtQSOBGoERgQhA/sD1AOvA4sDZwNAAxcC7wLLAqkChgJgAjUCCQHfAbgBkQFoAToBCwDdALEAiABfADMABv/a/6//hv9c/y3++/7J/pj+av47/gv92/2t/YX9Yv1A/Rr88PzB/JP8Zfw3/Ar73vu2+5X7efte+z77Gfrv+sT6mvpz+kz6Jfn8+dP5qfmA+Vv5OPkX+PX4zvil+Hv4Vfg2+Bn3+ffV96z3hvdk90j3LvcS9vL20va29p72jPZ89mr2VfY79iD2BPXr9dT1wPWu9Z31jvWD9Xn1bfVe9Uv1N/Un9R31F/UT9Q31B/UD9QD0//T/9P/1AfUH9Q31EvUT9RL1EPUQ9RL1FfUX9RX1EvUP9Q31D/UT9Rf1GvUa9Rr1HvUm9TH1PPVE9Ur1UPVZ9WP1bfVy9XT1d/WA9Y71nfWq9bL1t/W79cD1xfXM9dX14vXx9gH2EPYh9jf2UvZu9of2m/as9r720/bn9vj3BfcT9yX3PPdX93H3iPed97P3y/fl9/74F/gv+Eb4Xfh0+Iz4pfi8+NH45Pj6+Rb5OPlW+Wb5YvlR+UP5Q/lT+Wr5fPmH+ZD5nvmu+b35xPnF+cr52Pnv+gT6EPoR+g76Efof+jn6XvqM+sP7APs9+3P7nPu0+7v7sfua+3z7ZPtY+1z7bPuA+5j7s/vT+/P8DPwW/BL8CPwA+//8AvwE/AT8BfwN/Bz8MPxH/F78dPyK/J38q/y0/Lv8w/zO/Nr86Pz4/Q39JP04/UT9Q/06/TH9Lv00/UH9VP1t/Yz9sP3V/fL+A/4N/hr+Nf5g/pL+vf7X/uP+7P8B/yT/S/9n/3P/c/9z/3r/g/+C/2n/Of7//s3+uf7R/x//ogBHAO8BcgG7AdAB1AHvAjICkALoAx0DKAMbAwwDCwMXAyYDMQM2AzUDLwMkAxgDDwMPAxgDJQMxAzwDSANXA2YDbwNsA10DRwMvAxoDCAL5AuwC4ALRAsACqwKYAosCiQKTAqICrgK1ArQCrwKoAqECmQKRAosCiQKNApcCnwKgApECcAI+AgABuwF0ASwA5QCiAGMAKv/4/8n/nv93/1T/Nf8W/vP+zP6m/oT+af5U/j/+KP4O/fb95f3Y/c39v/2t/Zj9hf10/WX9Wf1Q/Uz9Sf1F/T79M/0q/Sb9Kf0y/Tv9Qf1E/Uj9T/1X/Vv9WP1M/T39NP03/Ub9XP1v/Xf9dP1r/WL9W/1V/Un9NP0W/PX82/zO/NH83/zy/QD9Bv0G/QT9BP0F/QL89fze/MT8rvyh/Jv8lvyK/Hj8ZPxS/EP8N/wr/B78EfwC+/H73PvF+7H7ovuZ+5L7h/t6+237Zfth+137VftH+zf7KPse+xf7EPsJ+wH6+Pru+uT62PrK+rv6q/qc+o/6hPp5+m76YfpV+k76TPpN+k76SvpC+jr6Nvo1+jb6Nfov+if6H/oY+hL6DvoO+hH6GPoe+iL6Ivoh+iL6Jfoo+ir6Kfop+i76NvpA+kf6TPpR+lf6Xvpl+mn6bPpt+m76b/pv+m76cPp2+oL6kPqd+qj6sfq5+sL6yvrQ+tX62vri+uz69/sD+w37Ffsd+yP7KPsv+zj7Q/tP+1r7Yvtq+3H7efuC+4r7kfuU+5f7mPua+537ovuo+637sfuz+7T7tfu2+7j7u/u++8H7w/vG+8n7zPvQ+9X72vvf++T76fvv+/b7/PwA/AP8BvwL/BL8Gfwd/CD8I/wn/Cv8Lfwr/Cj8J/wq/DL8OPw6/Df8M/w0/D38SPxT/Fr8X/xm/HD8evyB/IP8hfyG/Iv8kPyW/Jv8oPyn/LD8ufzC/Mz82fzr/P79Ef0f/Sr9NP0//U79X/1u/Xr9hP2O/Zr9qv2+/dL94/3v/fT99f31/fr+Bf4U/ib+Nf5D/k/+W/5n/nL+ff6I/pX+ov6v/rn+wv7M/tn+6P74/wX/Dv8W/yD/L/9A/1L/ZP93/43/pf+8/9L/5//8ABIAKgBAAFUAaQB9AJMAqgDAANQA6QD/ARYBLQFDAVcBbAGBAZgBrwHGAeEB/wIfAj4CWQJuAn8CjQKbAqgCtwLKAuMDAAMeAzsDVwN2A5YDswPMA+MEAAQlBEsEYQRbBEAEKQQyBGMErgT6BTYFYwWNBbsF6gYVBkEGegbBBwMHHAb3BqEGSgYiBj4GhwbSBv0HAQbsBtIGuAaaBnYGTQYkBf0F2AWzBZMFfQVwBWUFUQUyBQ4E8QTeBNIExgS0BKIElQSOBIgEfgRvBGMEXARdBF4EWQRPBEYERgRLBEsEMgP2A5kDKgK+AmcCKgIDAeUBxgGfAXEBOwEBAMYAkQBoAE8ARQBCAD4ANAAmABUABv/2/+T/z/+2/5z/gv9m/0v/M/8g/xP/C/8E/v3+9v7w/u3+7P7q/un+6P7n/uX+3v7U/sf+uv6x/qr+o/6d/pj+lv6Z/p/+ov6h/pn+jP58/mz+XP5N/j7+Lf4d/g/+Bf3//fr98/3q/d/92P3V/dj93f3j/en98P35/gX+E/4i/jD+Pv5K/lb+ZP50/oj+oP66/tX+8v8T/zj/Yf+J/63/zf/rAAwALQBPAG8AjwCzAN4BEQFJAYABsgHhAg8CQAJ1AqoC3QMJAy8DVAN8A6gD1QQDBC8EWQSDBKwE1AT5BR0FQQVnBY8FtgXcBgIGKgZSBnkGnAa6BtUG8gcSBzYHXAeEB60H1Qf7CB0IPQhdCH8IoQjBCNsI8AkECRoJMAlFCVgJagmACZwJvQneCfkKDQoZCh8KIgojCiMKIQobChMKCgoGCggKEAoXChgKEgoKCgQKAAn8CfMJ5QnYCdEJ0AnTCdUJ1QnUCdIJzAnCCbIJoQmUCYsJhAl/CXoJdglyCWsJXglMCTcJJgkaCREJCgkECP8I+wjzCOIIygixCJ0Ijgh7CF0IOAgcCBoIMwhZCGUIVgg+CCoIIQgiCCgILAgtCC0ILwg4CEkIZAiHCKwIxgjOCMEIqAiSCJAIpAjMCPsJJQlCCVIJWglgCWwJfwmZCbgJ1wnzCgsKGgojCigKLQo4CkcKVQpfCmIKZQpuCn8KlAqkCqsKqgqtCr0K3QsECyILLwssCyQLJQs3C1gLfQuaC60LuQvFC9cL7gwGDB4MNAxMDGYMfgyRDJsMnwykDKsMtAy9DMMMxwzNDNgM5gz1DQENCQ0NDQ4NDA0HDQMNAw0IDQ4NEA0MDQQM/Qz7DPwM/gz9DPkM9wz6DP8NAQz+DPcM8wz6DQwNJw1ADVQNYg1yDYoNrg3dDhQOTw6JDr4O6w8SDzkPaw+sD/kQRxCHELEQyhDkEQ4RTxGcEeESDhIeEhsSFRIXEiESKxIxEi8SJxIbEhASBxIEEggSEBIWEhQSCBH2EeMR1hHNEcURuxGwEaoRqxGwEbURthGzEbARsBG1Eb0RxhHQEdsR5BHnEeAR0BG8EakRmxGOEYERchFiEVcRUxFUEVURUxFNEUQROxEyESkRHxEWEQ4RBhD8EO8Q3xDQEMMQuBCuEKIQkxB+EGQQRhApEA8P/Q/xD+YP0g+zD4sPYA86DxgO9w7RDqYOeg5TDjEOEQ3tDcQNmA1yDVQNOg0gDQMM5gzLDLcMpwyZDIkMegxrDGAMVwxQDEwMSQxGDEEMNwwpDBsMEgwPDA8MEAwNDAcMAAv6C/YL9AvzC/QL9gv2C/EL5gvWC8YLuAutC6ELkQt7C2ELSAswCxoLBArvCtsKxwq0Cp0KhAppClAKOQokChAJ+wnnCdQJwgmuCZUJdwlWCTcJHQkFCO0I0AivCIwIaAhECCAH/AfbB74HoweHB2sHTQcvBxMG9gbVBrAGiQZmBkUGJgYGBeIFvQWZBXkFWAUzBQgE2wSwBIoEaARGBCID+wPUA64DiQNiAzsDFQLxAs8CrQKHAl4CMwIJAeEBuQGRAWUBOAEMAOEAtwCLAF0ALwAD/9v/tf+N/2H/MP79/sz+nP5s/jz+DP3f/bf9k/1v/Ub9Gfzr/L78lfxt/EX8G/vz+8/7sPuR+2/7SPsb+u36w/qc+nf6Uvoq+gD51vmw+Y75cPlR+S35BPjY+K74ivhs+E74LfgI9+H3vfeh94j3b/dQ9yz3Bvbl9sz2ufaq9pn2hfZt9lT2OvYj9gz19vXh9c31vPWv9aX1mfWJ9Xb1YvVR9UX1PvU59TT1MPUr9Sj1JfUl9Sb1KfUu9TH1MvUw9S31K/Us9TD1M/U29TX1M/Uw9S71LvUx9TX1NvU09TD1MPU19UD1TPVW9V31Y/Vr9Xb1f/WF9Yj1i/WT9aD1rvW69cL1yPXM9dD11vXf9ev1+vYK9hn2J/Y39kv2ZfaA9pj2q/a69sn22vbs9v33Dfcd9y/3Rfde93f3kPen97330/fp+AH4G/g2+FD4Z/h8+JL4qvjC+Nn47Pj/+Rj5NvlS+V/5WflH+Tn5O/lP+Wj5efl/+YH5ifma+a35uPm6+bz5x/nd+ff6CfoO+gv6CfoR+iX6QPpg+oT6q/rV+vz7Hfsy+zj7Mfsi+xP7DPsU+yf7P/tV+2n7fPuR+6f7uPu9+7n7s/u0+777zPvY+9774Pvm+/P8Cfwj/D38Vfxo/HX8f/yI/JD8m/ym/LD8ufzF/Nj87/0D/Q39Cvz+/PT89/0H/SD9Pf1Y/XP9jv2q/cD90P3f/fT+GP5I/nb+lv6l/q3+wP7k/xL/Nf9B/zj/K/8q/zH/K/8B/rT+X/4r/jf+h/8J/6MAQgDWAVQBrAHXAd8B4gIBAkgCpwL6AyQDIQMEAuUC0wLOAsoCwAKxAqACkQKFAn0CfAKCApECoQKuArcCvgLFAsoCywLCArICngKMAn4CdAJrAmACUwJCAi8CGAIAAewB4QHgAeYB7gHyAfIB7gHqAeUB3wHZAdQB0AHQAdABzQHAAaYBfgFNARgA4wCxAIAATwAe/+3/vP+N/2D/Nv8S/vT+2/7B/qT+g/5i/kT+LP4W/f/95f3K/bP9ov2V/Yj9dv1i/U39PP0u/SL9Fv0L/QT9Av0B/P389Pzn/N382fzf/Or89v0A/Qb9Cv0O/RD9EP0L/QP8/fz9/QX9EP0Z/Rz9Gv0Z/R79KP0y/TX9Lv0g/Q/9APz0/On83/zX/NP81fzc/OX87Pzt/Ob81vy//Kb8k/yG/H/8efxu/F78Svw3/Cf8GvwO/AD78vvi+9D7vPun+5T7hvt9+3f7cPto+2L7XPtX+0/7Qvsw+xz7DPsD+v/6/Pr3+u/64/rW+sr6vvqy+qT6lvqH+nv6cfpo+l76UfpF+j36PPo++j/6O/oz+iz6Kvos+i/6Lvon+h36EvoL+gX5//n6+fb59fn2+fb59vn4+f/6CvoV+h76IPog+iH6Jfor+jL6OPo++kb6TvpX+l76Y/pm+mn6afpo+mf6aPpv+nr6iPqX+qP6rvq5+sP6zPrS+tb62vri+u36+vsH+xL7G/sj+yr7Mvs6+0P7TftX+1/7ZPtp+237c/t7+4T7i/uR+5T7l/ua+6D7qPux+7j7vPu9+777vvvB+8T7x/vK+8z7zfvP+9H70/vX+9z74vvp++/79fv8/AL8B/wK/Av8DvwT/Bv8Ivwn/Cn8Kvwr/C38Lvwt/Cv8K/wu/DP8OPw4/DX8Mvw1/D38SPxR/Fj8Xfxk/G78ePyA/IT8h/yK/JD8mPyh/Kj8rvyz/Lb8uvy//Mj81vzn/Pr9C/0a/Sj9Nf1B/U39V/1g/Wj9cP14/YH9jP2d/bP9zP3g/ez98v31/f3+DP4g/jP+Q/5P/lv+aP52/oD+hv6L/pL+nf6q/rf+w/7O/tr+6f75/wf/Ev8c/yj/N/9J/1z/bv+B/5T/qf++/9L/5v/6AA4AIgA2AEgAWwBvAIUAnACzAMsA5QD/ARgBLQFAAVEBZAF5AZABpgG9AdYB8gIQAi0CRwJbAmwCeQKFAo8CmQKmArgC0ALsAw8DOANmA5UDvAPcA/gEGAQ+BF4EaARVBDMEHwQ0BHMExgUQBUQFagWVBc4GEgZUBpEGzQcLBz0HSQciBtYGiQZkBnMGowbRBuYG3wbLBrIGmAZ3BlAGJwYBBd8FvAWXBXcFZAVcBVQFPgUVBOQEvwSvBLIEugS7BLQEqQSdBJAEgARsBFwEVQRWBFkEVQRLBEIEQQREBD4EHgPaA3kDCgKiAkoCAwHJAZgBbgFMAS0BDADiAK8AfABTADsANAAzADAAJgAYAAn/+//v/97/yP+t/5H/df9a/0D/KP8V/wb+/f73/vH+6/7k/t3+1/7U/tL+0f7P/sn+wP61/qv+pP6f/pr+lf6P/ov+jf6T/pz+o/6l/qL+m/6S/of+e/5t/lz+Sf43/ij+Hv4Z/hb+Ef4K/gH9+v33/fr9//4F/gv+E/4e/ir+OP5F/lL+Xv5p/nb+g/6T/qP+tP7H/tr+8/8S/zf/Yf+J/67/z//wABQAOQBdAH0AnAC+AOgBGgFQAYUBtgHhAg0CPAJwAqYC2QMIAzIDWwOEA68D2gQDBCwEVQR/BKkE0QT3BR0FRAVsBZQFuwXhBgcGMAZZBn4Gnga5BtMG8AcSBzkHYQeJB7EH2ggCCCcISAhnCIYIpQjDCN0I9AkKCR8JNAlJCVsJbgmECZ8JvQndCfgKDQobCiYKLgo0CjgKNwoyCigKHgoYChgKHQohCiAKGwoUChAKEAoPCgoKAAn0CewJ6gnsCe0J6wnlCd8J2QnSCcoJwAm1CasJowmcCZoJmgmaCZUJiQl3CWUJVwlQCUoJQgk1CSUJEwj/COYIyQipCIsIcAhZCEUINwg1CEEIVQhkCEwIQwg+CD4IRAhMCFMIWQhfCGUIaAhrCG8IeQiNCKYIugjBCLYIoQiQCI8IogjFCO0JDwklCTIJOwlICV8JfwmjCcYJ5An7CgwKGQoiCikKLgo0CjsKQgpICk4KVwpkCnYKigqbCqgKsgq+CtEK6gsECxcLHwsfCx4LJgs7C1sLfQuYC6gLsQu7C88L6wwLDCoMRAxaDG8MgwyVDKEMqQyuDLQMvAzEDMwM1AzfDO0M/A0JDRENEw0RDQ0NCg0HDQUNBA0EDQQNAgz/DPwM/Az+DQAM/wz8DPkM+Az7DP4M/gz7DPkM/A0JDR4NNw1QDWUNeA2LDaMNyA3+DkMOkQ7XDwkPJA8zD00Pgw/VEDQQiRDFEOcRARElEVwRnxHgEg4SJBIpEiYSJRIpEi8SNRI3EjcSMhIrEiESGRIWEhgSGxIaEhISAxHzEegR4RHaEc8RvxGxEaoRrhG3Eb4RvhG4EbQRtxHDEdQR5xH2EgISChIKEgQR9RHgEcgRrxGYEYIRcBFkEV8RYRFpEXQRgBGJEY4RixF+EWkRTxE4ESYRGBENEP8Q8BDgENMQyBC/ELMQpBCQEHkQYBBIEDQQJRAZEAsP9g/WD68Phw9jD0IPIQ77DtEOpw6CDmEOPw4XDegNuQ2RDXENVw09DSANAwznDNAMvQyqDJcMhQx2DG0MaQxnDGYMZQxkDGEMWwxSDEcMPQw0DCwMJQwgDB0MHQwfDCEMIQwgDCAMIgwiDB0MEAv/C+8L4gvZC9ALwAuqC48LdAtaC0ELKgsUCv8K7ArZCsMKqgqQCngKYwpSCkMKNAoiCg8J9wncCbwJmgl5CV0JRQktCREI8AjMCKcIggheCDsIGQf7B+IHyQevB5AHcAdRBzMHFQb1BtEGrAaJBmoGTAYqBgUF3wW8BZ4FfwVbBTAFAQTVBK8EjwRvBEsEIwP4A9ADqgOGA2IDPgMaAvcC0wKuAoYCXAIxAgcB3gG0AYsBYQE3AQwA4ACzAIUAVwAsAAT/3v+3/4z/X/8u/v3+y/6a/mj+Of4O/eb9wP2Y/Wz9Pf0N/OP8vfyb/Hf8Uvwq/AX74vvA+5z7cvtE+xb66/rE+qD6fPpU+ir6Avne+b/5o/mE+WD5N/kN+OX4w/ik+IT4Yfg8+Bj3+ffg98n3rveL92P3OvcW9vr25fbT9sL2r/aZ9oP2bPZV9j72J/YQ9fv16fXb9c/1w/W09aL1kPV/9XH1Z/Vh9Vz1WfVV9VD1TPVK9Uv1T/VU9VX1UvVL9UX1QvVE9Uj1TfVR9VH1T/VM9Un1SvVM9U/1T/VL9Ub1Q/VG9VD1XfVo9XD1dfV89YX1j/WX9Zz1ovWp9bT1v/XK9dL12PXd9eL16fXy9gD2EPYg9i/2PfZL9l32dPaN9qT2t/bG9tX25fb29wb3F/co9zv3UPdm9333lfet98T32vfv+Af4Ivg/+Fz4c/iG+Jf4rPjE+N348vkF+Rv5NPlL+VX5T/k++TH5NPlI+V/5bvlw+W/5dvmJ+Z/5rvmz+bb5wPnV+e/6AvoI+gf6CfoW+i76S/pm+nz6j/qj+rn6zPrZ+t362frR+s360/rk+v37Ffsp+zf7RftV+2T7b/tw+2v7Z/tt+377lfup+7X7vfvG+9f77/wJ/CL8NvxE/E/8WPxh/Gr8c/x7/IL8ivyW/Kr8wPzT/Nz81/zN/Mj80Pzm/QX9JP0+/VP9Z/17/Y/9ov23/dP9+v4m/kz+Zv52/of+pf7R/vr/Df8E/u7+3/7h/uX+yf58/hH9vv28/ib+4/+7AHkBBAFhAaEBzwHrAfkCCAIsAm0CvgMBAx0DDALfAqwCggJhAkQCJwINAfsB8wHxAfMB+AIBAg8CIAIuAjcCOgI6AjUCLAIeAgwB/AHxAesB5wHgAdYByQG7AaoBlgF/AWgBVQFKAUQBQAE8ATUBLQEkARsBEgELAQYBBAEEAQEA9gDfALwAkABiADgAFP/1/9j/uP+V/2//Rv8e/vf+0/6z/pj+gP5o/k/+M/4Y/f/96P3R/br9of2K/Xb9Zf1W/UP9Lv0Z/Qb8+fzw/Of83PzQ/Mb8wfzA/MD8vPy0/Kn8ofyh/Kn8tPy+/MP8w/zC/MH8w/zH/Mv80PzW/Nz83/zf/Nr81vzX/OD87vz6/QP9DP0c/TT9S/1V/UX9Hvzs/ML8rfys/Ln8xfzJ/MH8sfyc/If8dvxq/GL8XPxR/EL8L/wc/Av7/Pvv++H70vvC+7H7oPuO+377cPtl+137WPtT+1D7TftI+z/7MPsd+wj69/rt+ur66/rp+uH60/rB+q/6oPqU+on6fPpv+mT6WvpS+kn6Pvo0+i76Lfov+i/6K/ol+iH6Ivom+in6Jfoa+g76BPn9+ff57vnj+dn50vnQ+dH51Pna+eX59PoE+hH6FvoW+hT6E/oW+hv6Ivop+jL6PPpG+lD6WPpc+l/6YPpg+mH6ZPps+nf6hPqR+pz6p/qy+r36x/rP+tb63frm+vL6/vsK+xX7Hvso+zL7PPtF+0/7Wfti+2r7b/ty+3X7ePt++4X7jfuS+5b7mfud+6P7q/u0+7v7vvu/+8D7w/vH+8370vvV+9b71vvV+9b72Pve++X77vv1+/v7//wE/An8DvwT/Bb8Gfwe/CX8LPwx/DL8Mfww/DD8MPwx/DH8Mfwz/DX8N/w3/DX8Nfw5/ED8SPxP/FT8Wvxh/Gv8dPx7/ID8hPyJ/JD8mfyj/Kv8svy2/Lj8u/zA/Mn81vzk/PL8/v0L/Rn9Kf03/UH9SP1O/VX9Xv1o/XH9ev2H/Zj9rf3A/c/92v3m/fn+E/4u/kT+VP5g/mz+e/6I/pD+kP6N/o/+mP6n/rf+xP7N/tf+4/7z/wX/Ff8i/zD/Pv9Q/2L/df+I/5r/rP+//9L/5f/3AAkAGgArAD0AUQBmAHsAkQCnAMAA3AD3AQ8BIgExAUEBVAFsAYUBnQG0AcwB5gIBAhoCMQJFAlcCZwJ2AoQCkgKjArcC0QLwAxYDQwN2A6kD1QP2BBEELARIBFsEWQQ/BB8EFgQ3BH8E0QUSBTsFXAWPBeIGTAa1BxAHWAePB7IHtweYB18HJAb+BvEG8AbpBtUGuAadBocGcAZTBjEGEAX2Bd0FvQWWBW8FVQVLBUMFLgUDBM8EpQSUBJoEqQSyBLMErgSnBJ0EjQR4BGUEWgRXBFYETwRDBDgENgQ4BDAEDQPIA2gC/gKZAkAB8QGqAW0BQAEkAREA/ADYAKQAbQBAACYAHgAfAB4AFgALAAD/9v/q/9n/wf+l/4j/bf9U/zz/JP8P/v/+9f7v/ur+5P7c/tL+yP7A/rz+uP6z/qv+oP6V/o3+if6I/oj+hv6F/of+jf6V/pz+ov6k/qT+o/6h/p3+lP6G/nP+X/5K/jn+K/4h/hr+Ff4Q/gv+Cf4L/g/+Ff4c/iX+Lv46/kb+Uf5c/mf+c/6B/pH+of6x/sD+zf7a/un+/v8Z/zr/Xv+D/6f/y//xABoAQwBqAIwAqwDNAPUBJAFXAYgBtgHiAg8CQAJ0AqgC2gMIAzMDXgOIA7ID2gQBBCcETgR2BJ0EwwToBQ8FOAViBYwFtAXaBgEGKgZSBncGlgayBs4G7gcSBzgHXQeDB6kH0gf8CCMIRQhjCH8Imwi4CNQI7wkHCR4JMwlGCVkJbAmCCZwJuQnXCfMKCgodCiwKOApCCkkKTApLCkYKPQo1Ci8KLgovCi8KLAooCiUKJAokCiAKGgoRCgsKCAoGCgIJ+gnwCeYJ4QnfCd8J3gnZCdAJxgm+CboJugm5CbMJpwmXCYcJewlyCWcJVgk9CR4JAAjjCMoItAigCI8Iggh3CG8IaQhkCGAIXAhWCGEIZAhsCHMIeAh6CH0IhAiNCJQIlAiLCH0IdAh2CIUImAinCKoIpQidCJwIpQi4CM4I4wj0CQAJDQkiCUEJawmYCcMJ5An9Cg4KGwomCi4KNAo3CjoKPwpHClIKXQpoCnIKfQqMCqAKuArRCuQK8Ar1CvYK+QsBCxALJgtCC2ELfAuRC54Lpwu0C8oL6wwQDDIMTAxfDHAMgQyTDKMMrwy3DLwMwQzGDM4M2AzmDPYNBQ0QDRMNEA0JDQMNAA0ADQAM/gz7DPgM9gz2DPkM/Qz/DP4M/Az6DPoM/g0BDQIM/wz9DQANDA0fDTUNTA1kDX0Nlg2tDccN6w4jDnEOyw8aD0kPWA9aD24PqhAIEHEQxhD8ERoROBFkEZ4R2RIEEhkSHhIeEiISKBIuEjASMBIuEisSJBIZEgwSAhIBEggSEBISEg4SBBH7EfMR6hHcEcURrBGXEY4RkRGbEaURqxGvEbYRwxHXEe4SBBIVEiASJhInEiMSGhIJEe4RzBGlEX8RZBFYEV4RcxGVEcAR8BIcEjsSQxIuEgARxBGJEVsROxEnERgRChD8EO8Q4xDWEMcQsxCdEIkQdxBoEFwQTxBAECwQEw/zD9APrQ+KD2kPRw8iDvwO1g6yDo4OZw47DgsN3A2zDZENdQ1bDT8NJA0JDPEM2wzEDK0MmAyJDH8Mewx7DHsMfAx7DHoMeAx1DHAMZwxdDFEMSAxFDEYMTAxSDFQMUgxPDE4MTgxNDEUMNwwmDBcMDAwEC/oL6QvRC7cLnQuEC2sLUQs4CyELDgr8CukK1Aq+CqoKmQqLCn0KbQpZCkAKIwoDCeAJvwmhCYcJbglUCTQJDwjoCMEInAh4CFYINwgdCAcH8QfXB7cHlQdzB1MHNAcTBvAGzgauBpEGdQZVBjAGCgXmBcUFpAV+BVIFJQT6BNYEtwSWBHEERwQcA/QDzwOtA4oDZQNAAxoC9QLQAqkCgAJWAioCAAHWAa0BhAFZAS0BAADUAKkAgABYAC8ABv/d/7P/iP9a/yn+9v7D/pL+Zv4+/hj98f3G/Zf9Zv03/Q386PzH/Kb8g/xe/Dj8E/vu+8f7m/tt+z/7FPrt+sn6pfp/+lj6MvoQ+fL51Pm0+ZD5aflC+R74/fjd+Lz4mPhz+FL4Nfga+AD34fe995X3bvdL9y/3GPcF9vL23vbH9rD2mPaA9mn2UfY79if2FfYF9fb15/XX9cj1ufWq9Z31kfWJ9YP1fvV69XT1bvVr9W31cvV39Xf1cvVp9WH1XvVg9WT1aPVp9Wf1ZPVg9V71X/Vi9WX1ZvVk9WD1XvVi9Wv1dvWA9YX1ifWN9ZX1nvWo9bH1uPW/9cj10PXZ9eH16fXv9fb1/fYH9hP2IvYy9kL2UfZg9nH2hfaZ9q72wfbS9uP29PcE9xP3JPc290r3YPd194n3n/e298735ff7+BL4K/hI+GP4eviL+Jv4rvjF+N/49/kN+SL5OPlL+VP5S/k6+Sv5Kvk5+Uz5W/lg+WT5bvmC+Zn5qvmy+bb5v/nS+ef59vn8+f36Bfoc+j76Yfp++o/6mfqg+qj6r/qy+rD6q/qo+qv6uPrN+uX6+fsI+xL7HPsn+zL7OPs4+zP7Mfs4+0r7YPt2+4f7lvuo+7/72vvz/Ab8E/wd/Cb8L/w5/ED8RfxL/FP8YPxx/IT8lfyh/KX8o/yg/KP8sfzH/OP8/f0T/Sf9O/1S/Wr9g/2b/bX90v3x/g/+Kf5C/mH+h/6s/sT+xP6x/pz+lv6e/pn+bP4T/bT9kv3g/qH/oQCQATUBhQGhAbIBzwH1AhsCOwJhApICygL0AvsC2wKeAlgCGAHgAbABiQFvAWYBagF1AX4BhAGLAZUBpAGyAb0BvwG7AbABoAGNAXsBbAFkAV8BWgFSAUYBOQEsAR8BEAD9AOkA1QDEALgArQChAJQAhQBzAGAATgBAADkAOQA9AD0AMgAb//n/0/+v/5L/e/9n/1L/Of8a/vj+1f6z/pT+d/5c/kD+JP4I/e791f3B/a79nP2J/XX9Yf1O/T39Lf0c/Qn88/ze/Mz8v/y2/K78pfyb/JD8ifyF/IT8g/yA/Hr8c/xv/HD8dvx9/ID8gPx+/H38gfyH/JD8mfyh/Kj8rfyt/Kv8q/yv/LX8uvy6/Lv8yPzt/Sn9af2R/Yv9Vv0I/L78kfyC/Ij8kvyU/I78hPx4/Gv8X/xS/Eb8O/wv/CH8EfwA+/D74fvT+8X7tPuj+5L7hPt3+2r7XvtS+0n7Qvs9+zr7OPsz+yr7HPsK+vb65frc+tr63frd+tf6xvqv+pj6hfp4+m76ZPpY+kv6QPo3+i/6J/og+hz6Gvoa+hr6F/oU+hP6Fvoa+hr6FPoJ+fz59Pnu+ef53PnO+cL5vPm9+cH5xfnL+dP54fnz+gL6DPoO+gv6CfoK+g76E/oZ+iD6KPoy+jz6RvpN+lH6VPpW+lr6YPpp+nT6f/qK+pT6nvqq+rb6wvrN+tj64vru+vn7BPsN+xX7Hvso+zP7PvtI+1P7Xvtp+3P7e/uA+4P7h/uM+5P7mfue+6H7ofuj+6f7rvu1+7r7vPu9+7/7w/vL+9P72fvd+9773vvd+9774vvp+/L7+/wC/Ab8CPwL/A/8Fvwc/CH8Jvwq/C/8M/w2/Df8Nvw0/DT8NPw1/Db8N/w4/Dn8O/w8/D38P/xB/EX8SPxK/E/8VPxd/GX8bfxz/Hj8fvyF/Iz8lPyc/KP8qvyv/LT8uvzC/M382vzl/O/89vz+/Qn9F/0k/S79Nv09/Uj9V/1o/Xj9hv2R/Zz9p/2w/bj9wv3U/e7+D/4u/kX+U/5e/mv+fP6L/pT+k/6P/o/+mf6p/rr+xf7K/s7+2P7o/vz/EP8g/y3/Of9I/1r/b/+E/5j/rP++/9H/5P/1AAQAEgAhADMARwBcAG4AfwCRAKYAwADaAPEBAwETASUBPQFaAXkBlQGuAcUB3AHzAgkCHQIyAkgCXwJ2Ao0CpAK+At0C/gMfA0IDaAOTA78D5wQEBBoELQQ/BEsERgQyBBwEGwRBBIUE0AUKBTEFWAWbBgYGjgcZB48H5wgiCEIIRQgqB/oHwweRB2QHNQb9BsIGjQZqBlQGQwYuBhYGAwX1BeYFygWeBW0FSAU1BSsFGgT4BMwEpgSUBJUEoASoBKsErgSxBLAEpwSTBHwEawRgBFkETQQ9BC4EJwQlBBwD+wO6A2EC/QKcAkIB8QGoAW4BSAE0ASgBEgDnAKsAagA2ABcADAAKAAgAA//8//b/8P/l/9T/u/+f/4P/av9S/zr/Iv8M/vr+7v7n/uL+2/7S/sX+uf6u/qb+oP6Z/pL+iP5//nn+dv53/nn+ff6C/or+kv6Z/p3+nv6f/qD+pP6n/qX+nP6N/nr+Z/5U/kP+M/4k/hj+EP4L/gv+Dv4T/hv+I/4t/jf+Qf5M/lf+Yv5s/nn+h/6Y/qr+u/7J/tb+4f7u/v3/EP8n/0L/YP+A/6P/y//2ACMATwB2AJgAuADZAQABKwFYAYYBtAHiAhQCSQJ+ArAC3wMKAzQDXwOJA7MD2wQBBCcETgRzBJcEugTcBQIFKwVVBX8FpgXMBfIGGAY/BmMGhAakBsQG5wcLBy4HUAdxB5YHvgfoCBAIMghPCGoIhgikCMQI4gj+CRYJLQlCCVYJawmCCZsJtgnSCe0KBgodCjAKPgpJClIKWgpgCmEKXQpUCkoKQwpACkEKQQpACjwKOQo1CjIKLgopCiQKHwoZChIKCQn/CfcJ8gnxCfIJ8AnrCeIJ1wnOCccJwQm5Ca0JnQmLCXsJbQlgCU8JOQkdCP8I5AjPCL8ItQivCKwIqwiqCKYIngiQCIAIcAhlCKAInwicCJQIiQiACH0IgQiKCI8IjAh+CG0IYAhgCG4IhAiaCKsItAi1CLIIsQi2CMAIzwjfCO0I+wkNCSkJUAl/Ca0J1QnyCgYKFQogCioKMAo1CjoKQgpQCmAKbQp1CnYKeQqDCpgKtgrRCuEK4QrZCtMK2QruCw0LLQtKC2MLdwuIC5gLqAu8C9YL9gwaDDoMUgxjDHIMggyVDKcMtQy9DMEMwwzHDM4M2AzlDPQNAQ0JDQoNBgz+DPcM9AzzDPMM8gzvDOwM6wzuDPMM9wz4DPcM9gz7DQMNDA0QDQsNBA0CDQsNHw03DU4NZA18DZkNug3aDfgOHQ5WDqUPAA9OD3sPhw+LD6gP7hBTELgRAhEsEUURYxGREcYR8BIEEgYSAxIFEg0SFRIXEhQSEBIOEgsSARHxEd8R0xHUEd8R7BH1EfkR+RH6EfkR8RHgEcgRrhGXEYURehFzEXMRexGPEasRyxHrEgcSHhIwEjsSQhJEEkMSPhIwEhQR5xGwEXsRVxFSEW8RqxH8ElgSshL/EzATNxMQEsMSYhIAEbEReRFVETwRJxEVEQYQ+BDqENkQxBCtEJsQjxCIEIIQdhBjEEgQKhALD+0Pzg+uD4sPaA9GDyMPAA7bDrMOiA5aDisN/w3WDbINkg11DVsNQw0sDRYM/wznDM8MuAykDJUMiwyIDIgMjAyPDJIMlQyWDJUMkwyODIoMiAyLDJEMlgyVDI4MhQx/DH0Mfwx+DHUMZgxVDEYMOgwvDCAMCwvzC9sLxguwC5cLewtdC0QLLwseCw0K/QrsCt4K0grFCrUKngqCCmMKQgohCgEJ4wnHCa0Jkwl0CVAJKQkBCNoItgiUCHQIWAhACCsIFQf6B9oHtweWB3YHWAc3BxMG8QbSBrcGnQaBBl8GOgYVBfAFygWgBXQFSAUhBP4E3AS6BJMEagRBBBsD+APVA7EDigNiAzsDFQLvAskCoQJ3Ak0CIwH6AdEBpwF5AUkBGwDwAMsApwCBAFkALQAC/9j/r/+D/1P/IP7t/r/+lv5y/k3+JP34/cj9mP1r/UL9Hfz6/Nj8tfyS/Gz8Rfwc+/D7wvuT+2b7PPsV+vH6zfqo+oT6YfpB+iL6A/nh+b75mvl3+Vb5NvkV+PL4z/is+Iz4bfhQ+DD4Dvfo98P3oPeC92n3VPdA9yz3Ffb79uD2xvas9pT2ffZp9lb2RfYy9h/2DPX69er13fXR9cX1uvWw9af1ofWb9ZX1j/WM9Y71lPWY9Zf1kfWH9YD1fvWB9YX1hfWD9X31ePV19XT1dvV59Xz1fvV+9X31fvWD9Yv1k/WZ9Z31nvWi9aj1sfW79cT1zPXS9dn14PXo9fD1+fYC9gv2E/Yc9if2NfZF9lX2ZfZ29of2mPaq9rz2zfbf9vH3AvcS9yD3MPdC91n3cfeH95v3r/fE99v38/gK+CD4N/hP+Gj4f/iS+KP4tfjL+OL4+vkR+Sf5PflO+VT5S/k4+Sb5Ifkq+Tv5S/lW+V/5bfmA+ZX5pvmv+bX5vvnN+d356Pnu+fP6APoa+jz6X/p9+pH6nvqn+qz6rfqo+qD6mfqY+qD6sPrE+tf65vrx+vf6/PsC+wj7DPsN+w37EPsZ+yf7OPtI+1n7bfuH+6T7wPvU++D75vvt+/f8AvwK/A78D/wV/CT8OfxP/F78Zfxl/GT8Z/xx/ID8kvyl/Lj8zfzi/Pn9E/0w/U79av2A/ZH9oP2y/cr96v4R/jr+Xv51/nv+cf5i/lz+Yf5l/lT+H/3Y/bH93/59/3AAcgE3AZcBpQGTAZUBuwH4AjMCYAKDAqUCxQLWAscCkwJGAfEBogFhASwBBwDzAPAA+wEIAREBFAEVARsBJwE2AUIBRwFDATgBJwESAP8A8ADmAN8A1wDLAL0ArQCfAJMAhgB3AGYAVABEADUAKAAaAAv/9//f/8P/p/+R/4f/iP+P/5P/jv99/2b/Tf83/yX/Ff8E/u/+1P61/pT+c/5W/j3+Jv4O/fH90P2u/ZD9ef1p/V39Uf1D/TP9If0Q/QD88Pzh/NL8w/yy/KD8jvx//HP8bPxm/GD8WPxQ/Ev8SPxH/EX8QPw7/Dn8Ovw//ET8R/xJ/Ev8TvxS/Fb8W/xh/Gr8c/x8/IP8ivyQ/JT8kfyE/Hb8efyb/Nz9Kf1g/Wf9Ovzw/Kf8efxp/Gn8avxk/Fz8V/xW/Ff8UfxD/C/8GvwI+/n77Pvf+9L7x/u7+637nPuK+3n7a/tg+1f7TftD+zr7Mvss+yj7JPsd+xP7Bfrz+uH60vrK+sv60PrU+tD6wPqn+oz6dfpl+lv6UfpG+jj6Kvog+hj6EvoO+gr6BvoE+gH5//n/+gH6BfoH+gX5/vn0+ev55Pnd+dT5x/m7+bX5tvm8+cL5xPnD+cX5z/ng+fT6A/oL+gz6DPoN+hH6Fvoa+hz6Hvoj+ir6Mvo6+kD6RfpK+lL6W/pm+nH6fPqH+pL6nfqp+rX6wPrM+tn65vrz+v77BvsN+xT7HPsl+y/7OvtE+1D7Xftr+3j7gvuJ+4/7lfud+6X7rfux+7L7sfuw+7H7tPu5+737v/vB+8T7yfvR+9n74Pvk++b75/vo++v78Pv3+//8B/wM/A/8EPwS/Bb8HPwk/Cv8Mfw0/Df8Ofw6/Dr8Ofw5/Dn8OPw4/Dn8Ofw7/D78QvxG/En8S/xL/En8R/xH/Er8UPxY/F/8Zfxq/HD8d/yA/Ij8j/yT/Jj8nfyk/Kz8tfy//Mv82Pzk/O388vz2/Pz9Bv0R/Rv9Jv0y/UP9Wv10/Yz9oP2v/bj9u/26/bj9u/3I/eD9/v4Y/iv+Nv5B/lL+aP58/on+jf6M/o7+mv6r/rr+wv7E/sX+y/7b/vH/Bf8V/x//KP80/0f/Xv93/4//pP+5/83/4f/yAAAADAAZACgAOwBOAF4AbAB5AIoAoQC5AM8A4gD1AQwBKgFOAXEBkQGsAcIB1wHpAfsCDwInAkQCYwKBAp0CugLaAv4DIwNDA14DeAOXA7sD3QP4BAsEGwQrBDkEPQQ2BCsELwRPBIsE0gURBUUFewXHBjQGuwdJB84IPQiQCMIIzQivCHMIKQfeB5cHTgcBBrUGdgZMBjUGJgYWBgUF+AXwBeUFygWeBWkFPAUfBRAFAATlBMQEqASaBJkEngSiBKcErwS6BMEEuwSnBI0EdQRnBFwETwQ8BCgEGQQQBAMD4wOrA1sC/gKgAkgB+gG5AYsBcQFlAVcBOQECALsAcgA5ABYABf/+//j/8v/u/+v/5//e/87/t/+c/4L/Z/9N/zP/Gv8E/vH+5P7a/tL+yf7A/rT+p/6b/pH+if6D/n7+ef51/nL+cv50/nn+f/6H/pH+mf6d/p7+nf6d/qH+p/6p/qX+l/6E/nH+YP5T/kf+O/4s/h/+Ff4P/g3+EP4X/iD+K/44/kX+UP5b/mT+bv57/ov+nf6v/r/+zP7X/uL+7v78/w3/H/8z/0n/Y/+B/6b/0QAAAC8AWgCBAKMAxADnAQwBNAFdAYgBtgHoAh4CVQKJAroC5gMQAzoDYwOMA7QD2wQCBCkEUQR3BJsEvQTfBQMFKQVQBXYFmgW9BeAGBAYoBksGbgaRBrUG2gb+ByAHQAdgB4UHrAfVB/oIGwg4CFQIcwiUCLYI1QjyCQwJJQk9CVUJbQmGCZ0JtQnMCeQJ/QoWCiwKPgpKClQKXgppCnEKcwpuCmUKWwpWClQKUwpQCkoKRQpBCj8KPgo6CjQKLAokChwKFQoPCgkKAwn8CfMJ6QneCdMJygnBCbgJrAmcCYgJcgleCU0JPwkwCSAJDwj+CPII6QjkCOAI2wjXCNMI0AjOCMoIwwi5CK8IpwiiCMwIugiiCIoIdQhnCGMIZAhnCGcIYghaCFQIVQhdCGwIgAiVCKkIuAi/CMAIwAjFCNUI7QkFCRcJHwkkCS8JRwlrCZYJvAnZCewJ+QoDCg0KFgofCikKNwpJCl0KbQp2CnkKewqFCpgKsQrGCs8KywrDCsMK1AryCxcLNgtMC1wLawt/C5gLtAvRC+0MCwwnDEIMVwxoDHcMhwyXDKcMsgy5DLwMwAzFDM4M2AzjDO4M9Qz6DPwM+Qz0DO4M6QzlDOMM4gzhDOAM4gzlDOgM6wzsDO4M9A0ADQ4NGQ0ZDRANBQ0FDRUNMQ1QDWoNgA2YDboN4w4ODjcOZA6dDuYPNQ93D58Psg/ID/kQTBCvEQQROhFTEWURghGtEdgR8hH3EfER7RHwEfQR8xHrEeIR4BHjEeQR2xHJEbgRshG5EcURzhHPEc4RzxHXEeMR7BHxEfIR7xHiEccRmxFrEUgRQRFbEYwRwxHzEhcSMhJGElUSXRJfElwSVBJEEiUR8hGxEXURVRFjEacSFBKYExwTjBPbE/4T8RO2E1gS6hJ/EiQR3hGoEXoRUBEsEQ8Q/BDvEOIQ0RC+EKwQoRCdEJgQjRB3EFoQOhAdEAMP6A/JD6YPgQ9fDz8PHQ73DswOng5yDkgOIA34DdANrA2ODXYNYw1QDTwNJw0SDPsM4wzJDK8MmgyPDJAMmQylDK8MtQy6DL4MwwzKDNQM4QzvDPcM9gzpDNQMwAy0DLMMtgy1DKsMmgyIDHgMagxbDEcMLwwXDAML8AvcC8ILowuEC2kLVQtECzQLJQsXCwwLAgr0Ct8KwwqgCn0KXAo+CiEKBQnqCc4JsQmPCWkJQQkaCPYI1Ai1CJgIfghmCE8INQgWB/UH1Ae2B5oHfQdeBzsHGAb4BtwGwwaoBokGZgZBBhkF8AXFBZsFcgVMBScFAgTbBLIEiwRmBEMEIQP8A9UDrAOEA10DNwMRAusCwwKaAnACSAIfAfcBzAGeAWwBPQETAO4AzACoAH4AUQAl//v/1P+r/37/Tf8c/u/+yP6k/n7+U/4k/fT9yP2g/Xr9Vf0w/Qv85/zC/Jz8cvxF/BX75fu3+4z7ZPs/+xn69PrP+qv6ivpq+kz6LPoL+er5yfmp+Yr5avlI+SX5BPjk+MX4pfiE+GD4O/gV9/H30Pe09533ifd392L3Sfcu9xL29vbd9sb2sfad9or2ePZl9lD2OvYl9hP2BPX59e714vXX9c31xvW/9bj1s/Ww9bL1tvW39bT1rPWi9Zz1nPWg9aP1o/Wd9Zb1kfWP9ZH1lPWV9Zb1lfWV9Zb1mfWe9aT1qfWu9bL1tvW79cL1yfXQ9db13PXi9en18PX59gL2DPYW9h/2KPYx9jz2SvZa9mn2ePaI9pj2qva79sv22vbq9vv3Dfcd9yv3OvdM92P3ffeW96v3vffQ9+X3/vgW+C34QvhX+G34hPia+K74wfjT+Ob4+fkO+SX5OvlL+U/5Rfkz+SH5G/kj+TT5RvlU+V75avl6+Y35nvmq+bP5u/nF+dH53Pnm+fD5/foP+iX6PPpV+m/6ivqg+q36r/qn+pv6k/qT+pv6p/q1+sH6zPrU+tr63fre+t/64frl+u369/sE+xH7HPsn+zX7Svtk+4H7mfun+677svu6+8f71Pvb+9v72/vj+/f8Evwn/C/8Kvwh/B/8Kvw//Ff8a/x7/Iv8n/y3/NL87/0L/Sb9Pv1R/V39Z/14/ZX9wP3x/h7+O/5F/kL+O/47/kH+R/48/hn96v3O/fL+c/9GADoBCQGCAZ0BggFnAXMBqAHuAioCVAJxAowCoQKiAoACOQHcAX0BLADtAMAAowCUAJIAmACfAKIAoACeAKIArAC5AMUAzADNAMYAuQCmAJMAgwB3AG8AZwBbAEwAOgApABkACv/7/+z/2//J/7j/p/+W/4X/cv9Z/zv/HP8E/vn++f8A/wb/BP77/u3+4f7W/sv+vf6p/pL+eP5c/j/+Iv4H/e/92v3D/af9hP1g/UH9K/0d/RT9DP0A/PL84fzO/Lz8rPye/JX8jfyD/HP8XvxI/Dn8M/wy/DL8LPwj/Bn8E/wR/BD8DfwI/AT8BfwJ/BD8F/wc/CD8Ivwj/CP8I/wn/DD8PfxJ/FT8XPxj/Gj8ZvxZ/Ef8PfxK/HP8qvzW/OD8xvya/HP8Yfxh/GT8XfxM/Dz8Nvw+/Ej8Sfw6/B77/vvj+9D7w/u5+7D7p/uf+5X7iPt4+2j7WvtP+0b7Pfs0+yr7Ivsd+xj7FPsM+wD67/rc+sn6u/q1+rj6wPrI+sn6vvqp+o76dPpg+lH6Rfo4+ir6HPoR+gr6BvoD+f75+Pny+e356/ns+e/58vny+e756fnk+d/52fnO+cD5sPmn+an5s/nA+cb5w/m7+bf5v/nS+er5/voJ+g36D/oT+hr6Ifol+iX6JPoi+iP6Jvoq+i/6Nfo9+kn6Vvpl+nL6f/qM+pj6pPqu+rj6wPrK+tb65Prx+vz7BPsL+xL7Gfsi+yv7NPtA+037XPts+3n7g/uK+5H7m/um+7L7u/vA+8H7wPu/+7/7wfvE+8j7y/vO+9L71/vd++P75/vq++378Pvz+/j7/fwD/Aj8DfwS/Bb8Gvwc/B/8JPwp/DD8Nvw7/D78P/w+/D78Pvw+/D78PPw7/Dr8Ovw8/EH8RvxK/E78T/xO/Ev8SPxH/Er8UPxX/F38YPxj/Gn8cvx9/Ib8i/yN/I/8k/ya/KP8q/y0/L/8y/zY/OP86/zw/PT8+/0F/RL9IP0y/Uf9YP18/Zj9sP3C/cz9zf3I/cL9wf3H/db96f35/gX+D/4d/jT+T/5p/nr+gf6E/on+lf6l/rP+u/69/r7+xv7V/un+/P8L/xP/G/8n/zr/Uv9r/4P/l/+s/8L/2P/t//wABwASAB8AMQBDAFQAYgBxAIMAmQCwAMUA1wDqAQMBJAFKAW8BjwGpAb4B0AHgAfECBwIjAkUCaQKJAqQCvgLaAvsDHAM3A0wDYQN6A5sDvQPZA+0D/wQUBCoEPARBBD4EQwReBJgE5wU7BYgFzQYVBmkGzwdHB8wIVQjRCSoJSgkoCNMIZQf6B54HTQcBBrcGeAZKBi4GHAYMBfsF6wXfBdIFuQWTBWQFNwUVBPwE5QTKBK4EmQSRBJIEmASdBKIEqwS4BMAEuwSnBIsEcgRjBFoETwQ9BCcEEwQCA/ED1AOiA1oDBAKoAlECBwHQAa4BngGUAYEBWAEYAMwAhABMACgAEQAC//b/7f/n/+P/3//W/8b/sv+Z/37/Yv9F/yr/Ef77/un+2f7L/r/+tP6s/qP+mf6N/oH+d/5w/m3+bP5t/nH+df57/oH+if6R/pj+nf6f/p/+oP6j/qv+sf6y/qj+lf59/mj+Wf5Q/kn+Qf42/iv+If4a/hb+Ff4Z/iP+Mv5E/lX+Yv5s/nP+ff6K/pz+rv6//s3+2P7h/uz++f8J/xr/LP8+/1L/av+J/6//2gAJADcAYgCJAK4A0gD2ARsBQAFmAY8BvgHyAikCXwKRAr8C6wMXA0MDbgOWA7sD3wQEBCsEUwR7BKAExATnBQoFLQVQBXIFkgWzBdUF9wYZBjsGXwaDBqgGzQbyBxUHOAdcB4IHqQfOB+8IDQgqCEkIagiNCK4IzQjpCQMJHQk4CVQJbwmJCaAJtQnHCdsJ8woNCicKPQpNClkKZApvCnoKgQqCCnwKdApsCmUKXgpWCk8KSgpKCkwKTwpNCkQKOAoqCh4KFQoOCgUJ+QnpCdgJxwm5Ca8JqgmmCaAJkwl/CWgJUAk9CS0JIAkUCQkJAQj+CQIJCAkOCQ4JBwj6COwI4AjYCNQI1QjZCNwI3AjYCMgIqwiNCHUIZghgCF8IXAhUCEoIQwhDCEsIWQhnCHQIfgiKCJkIqAi1CL4IygjfCQAJKQlNCWAJYQlYCVIJWQlwCY4JqQm7CcQJygnSCdwJ6Qn3CgYKFwoqCj4KUApfCmwKeQqKCpwKrgq6Cr0Kuwq8CscK4AsCCyILOQtHC1ALXwt4C5sLwQvlDAMMGwwwDEMMVAxkDHMMgQyNDJgMoQymDKwMtAy+DMsM1wzfDOQM5wzpDOwM7QzrDOcM3wzZDNUM1AzWDNkM2wzcDN4M4QzmDO0M9w0FDRINGA0VDQsNBA0KDSENRA1pDYcNng25Dd4ODw5HDoAOuQ71DzMPbg+cD7wP2RAGEE4QrBEIEUgRZxFxEX0RmhHBEeMR8xHyEesR5xHmEeIR1xHMEcgRzxHXEdURwxGtEaMRrBHBEdERzBG2EZsRjRGTEasRzhH5EicSTRJYEjcR6xGJETYREhEnEWQRrRHrEhgSOBJSEmYScRJxEmcSWBJBEh4R6RGpEXERXxGJEfEShhMoE7YUGBRIFEcUIhPkE5kTSxMBErwSehI3Ee4RohFbESIQ/hDrEOEQ1hDHELYQqRCiEJwQkRB9EGEQRBArEBQP+w/bD7YPjw9sD0wPKw8GDtoOrg6FDl8OOw4VDe0Nyg2tDZkNiA11DWANSw06DSkNFQz4DNUMtAyfDJwMqAy8DM4M2wzlDO8M/g0SDSsNRQ1bDWYNXw1HDSYNBwz0DO0M6wzmDNgMxAywDKAMkQyBDGwMVQw/DCwMGQwCC+YLxguqC5QLhAt1C2ULVAtDCzULKAsWCvwK3Aq5CpkKfApgCkUKKQoLCe0JzQmpCYQJXgk5CRgI+QjcCMAIpQiLCHAIUQgvCA0H7QfRB7kHoAeCB2AHPgceBwEG5gbKBqwGigZlBj4GFQXrBcQFngV5BVMFKwUABNcEsQSOBGsERgQdA/QDzAOmA4EDWwM1Aw0C5QK8ApMCagJBAhgB7wHEAZYBaQE+ARgA9ADOAKMAdABGAB3/+P/S/6n/fP9O/yL++v7U/qr+fP5M/h799f3R/a79iv1j/Tz9Ffzu/MX8mfxq/Dn8Cvvg+7n7lPtv+0n7Ifr5+tT6sfqQ+nH6U/o0+hX59/nZ+bn5l/l1+VX5NvkZ+Pv42/i3+JH4avhD+B/3/vfh98n3tvej94/3d/db90D3KPcS9vz25/bQ9rv2p/aV9oL2bfZX9kL2MPYi9hX2CfX+9fP16/Xk9d712fXX9df12PXX9dH1x/W99bf1uPW89b/1vvW49bH1rfWt9bD1sfWw9a31qvWo9ar1rvWy9bb1uvW/9cb1zvXX9d314fXk9ef17PX09fz2BfYO9hj2IvYq9jH2OPZA9kz2W/Zs9nr2hvaS9qH2tPbH9tj25/b19wT3Fvco9zj3R/dX9233hveg97b3yPfY9+z4BPge+Df4TPhf+HP4ifif+LX4x/jX+Ob49vkK+SH5OPlG+Un5Pvkr+Rz5GPkh+TP5RflS+Vr5Y/lx+YX5mvmq+bT5uPm9+cX50fni+fH5/PoA+gL6B/oY+jj6Y/qL+qf6sPqs+qL6m/qb+p76ofqj+qb6q/qz+rv6v/q9+rn6t/q7+sf62frr+vv7B/sR+x77MPtG+1z7bft2+3v7gfuN+577q/uy+7H7sfu6+8775fv0+/P76Pvd++D78vwN/Cb8OvxK/F38dvyT/K78xPzW/Of8+f0M/R79Mv1N/Xb9q/3i/g3+I/4o/if+K/44/kL+O/4b/e390f3q/lT/Cv/mAK8BNQFoAV4BQwE/AWABmAHPAfMCCgIeAjYCSAJBAhQBwwFhAQMAuQCGAGUATwBDAD0AOwA5ADYAMgAxADQAPQBHAFAAVwBaAFgATwA+ACsAGgAOAAgABP/9/+//3f/I/7T/ov+R/4H/b/9Z/0D/Jv8P/vv+6P7U/r3+pP6Q/oT+gv6F/of+hP59/nX+bv5o/l7+T/47/if+E/4A/ev90/26/aH9iv1z/Vj9Of0Z/Pz85/zZ/M/8xfy5/Kz8nfyM/Hr8Z/xY/E/8TPxI/D78K/wW/AX7//wA/AP8Afv5+/H76/vp++j75Pve+9j71/vb++D75vvq++778vv0+/P78/v2+//8CvwT/Bn8Hfwh/Cr8Mfwx/Cj8GvwU/B38MfxD/Ef8Pfwx/DP8Rfxd/Gn8X/xE/Cn8H/wo/Dj8Pvwv/A775/vG+6/7ofuX+437hPt8+3f7cfto+137UPtD+zb7Kvsf+xT7C/sG+wT7Afr7+u/63frH+rL6pPqf+qL6q/q1+rr6tvqp+pT6e/pk+k/6Pvou+h/6EfoH+gH5/fn7+fX57fnj+dz52fnb+d753/nd+dv52/nc+dv51fnF+a/5nPmT+Zr5qvm6+cD5u/mx+a75t/nL+eP59fn++gD6AfoI+hP6IPoq+i76Lvos+ir6KPon+ij6LPo0+kL6Uvpj+nP6g/qR+p76qPqx+rj6v/rI+tT64frt+vj7AfsJ+xL7G/sk+yv7NPs++0z7W/tq+3T7fPuC+4r7lfui+6/7uPu/+8L7xPvH+8n7zPvP+9P71/vc++H75vvp++z77fvv+/L79vv8/AL8B/wL/A78EvwY/B/8Jvwq/Cz8Lfwv/DP8OvxB/Eb8R/xG/EX8RPxE/EP8Qfw+/Dz8PPw+/EH8RPxG/Ef8SPxI/Ef8R/xI/E38U/xa/F78YPxh/Gb8cPx7/IX8ivyL/Iv8jvyU/Jr8oPym/K38tvzD/NH83fzl/O389v0C/RH9JP04/U39ZP17/ZL9p/24/cT9yv3K/cn9yv3O/db93v3k/ev99f4G/iD+Pf5Y/mr+dP55/oD+iv6Y/qX+r/61/rv+xf7V/uf++f8G/xH/G/8p/z3/VP9q/3z/jf+f/7b/z//n//kABQAPABsAKwA/AFMAZgB5AI8ApgC8AM4A3QDtAQQBIwFGAWkBhgGdAbEBwwHUAegB/wIdAkACYwKAApYCqgLBAtwC+AMQAyQDOQNVA3gDnAO5A9AD5QP/BB0ENgRCBEIERwRmBKgFCAV0BdYGJQZjBpsG3gc7B7kIVAjzCXEJqwmOCSgInwgYB6oHUwcJBsEGfgZIBiQGDgX8BekF1gXEBbIFnQWBBV0FOAUWBPUE1ASzBJUEggR+BIQEjQSUBJkEoASoBK4EqwSbBIQEbwRhBFkEUARABCsEFgQDA/AD1QOpA2gDFgK7AmUCHgHtAdIBxAG2AZoBaQEoAOEAoABsAEYAKAAR//7/8P/o/+H/2P/L/7r/pv+P/3b/W/8//yX/Dv77/un+1/7E/rP+p/6f/pn+kv6H/nr+bf5k/l/+X/5j/mr+c/58/oX+jP6T/pf+mv6c/p7+ov6r/rX+vv69/rL+nf6F/nD+Yv5Y/lH+Sf5A/jf+L/4p/iT+I/4n/jP+R/5e/nL+f/6G/ov+kv6d/qv+u/7J/tX+4f7u/vz/DP8c/y3/Pf9P/2T/ff+c/8D/6QAUAD8AaACQALgA3wEEASYBRwFqAZMBwwH5AjACZAKTAr8C7QMcA0wDeQOiA8YD6QQMBDIEWQR+BKMExgTqBQ0FLwVQBXAFkAWxBdIF8wYUBjUGVwZ6Bp8GxQbqBxAHNgdfB4cHrQfPB+wICAgmCEcIaQiLCKsIyAjjCP0JGQk2CVQJcQmNCaUJuQnKCdsJ8AoKCicKQgpYCmcKcgp8CoUKjQqQCo4KiAp/CnQKaQpeClgKVgpbCmIKZgpjClgKRgoxCh0KCgn3CeYJ1QnECbUJqQmhCZwJmwmZCZUJiwl7CWcJVAlECTYJKwkhCRgJFAkUCRgJHQkfCRsJDwj+COwI3QjUCNMI2gjjCOoI6gjeCLUInQiJCH4Iegh7CHgIbghcCEoIQAhDCFEIZAhxCHgIewiCCI4InwiwCMAI1Qj2CSQJWAmCCZcJlgmLCYMJhwmUCaEJpwmkCZ4JnAmhCa4JvgnPCeEJ9AoGChcKKAo5Ck8KaAqBCpcKpQqrCqsKrAq1CsgK5QsECyALMgs+C0kLWwt4C54LyAvtDAkMHQwrDDcMRAxQDF0MaQx1DH8MhwyPDJgMowyxDMAMzQzVDNgM2AzYDNsM3gzgDNwM1QzODMwMzgzUDNgM2QzYDNoM4QzrDPYNAQ0KDRANEg0QDQwNDQ0aDTUNWw2CDaQNwQ3fDggOQA6DDssPEA9PD4EPpw/AD9gP/RA8EJYQ+BFIEXYRhRGIEZMRrhHREesR9BHwEegR4RHaEdERyxHREeYSABIIEfIRxBGaEZARqhHVEe4R3xGvEXURTxFJEWERkhHUEiASZRKGEmsSEhGXESoQ9REEEUURlBHYEgoSLxJQEmsSeRJ4EmgSURI0Eg4R2xGhEXIRbBGiEhcStBNSE80UERQeFAYT4RPBE6wTnBOKE2kTMxLnEoUSFxGrEVARERDuEN8Q1xDLELwQrRChEJkQjhB+EGcQThA3ECEQBw/nD78Plw9zD1QPNQ8SDukOvw6YDnUOUg4vDgwN7Q3UDcENrQ2WDXwNZg1ZDVINRg0tDQYM3Ay+DLUMwQzYDPENBw0bDTENSw1oDYgNpg29DccNvg2jDX0NWA07DSgNGw0LDPcM4QzODL8MsQyhDI0MeAxlDFMMPQwiDAML5AvOC8ALuAutC50LiQt0C2ALSwsxCxIK8QrSCrcKnwqGCmkKSgopCggJ6AnFCaIJfgleCT8JIgkFCOcIygitCI8IbwhMCCoICgfvB9UHuwedB30HXAc/ByMHCAbqBsoGpwaDBlwGNQYOBegFxAWhBXsFUwUpBQEE2wS3BJEEZwQ8BBID6wPHA6MDfANUAysDAwLcArMCiAJcAjMCDAHmAb4BlAFqAUIBGwDzAMgAmgBsAEIAHf/6/9b/rf+B/1X/K/8C/tf+qf56/k3+Jv4D/eH9vf2V/Wv9Qf0X/Oz8v/yR/GP8OPwQ++z7yful+377Vfss+wT64Pq++p76f/ph+kT6JfoG+eT5wvmg+YL5ZvlK+Sz5Cvjk+L34lvhx+E34LPgO9/b34vfP97v3oveI92/3WfdG9zH3GvcA9ub20Pa+9q72m/aG9m/2W/ZK9jz2L/Yj9hj2DvYH9gH1/fX79fr1+fX29e/15fXb9dX11fXX9dn11/XR9cv1yPXI9cn1yfXG9cH1vPW69b31wfXG9cn1zPXR9dr15fXu9fT19fX29fj1/vYH9hH2GvYj9i32NvY99kH2Q/ZJ9lX2Z/Z69on2k/ac9qn2vPbS9ub29fcC9w/3Ifc190j3WPdo93r3kPep98D30vfi9/T4Cvgl+D/4Vfhn+Hj4i/ig+LX4x/jX+Ob49/kN+Sb5PflL+Ur5PPko+Rn5FPke+S/5QflN+VX5X/lv+YX5nfmv+bb5s/mw+bP5wfnX+ez59fnu+d/51fnf+gP6Ofpx+pr6sPq2+rf6uPq8+rv6tPqo+p/6nvqk+qv6rvqo+p76lfqV+p/6sfrG+tr67Pr7+wv7HPss+zv7RvtN+1T7Xvts+3v7h/uM+4z7jfuV+6P7sPu2+7H7qfum+7D7xvvg+/X8BvwX/C/8Tfxr/ID8i/yS/J78s/zO/O79D/03/Wf9nv3Q/fT+BP4J/hD+Hv4t/jD+Gv3v/cr9z/4a/q7/awAkAKsA7QD5APAA9gEZAU8BgQGdAaIBoAGmAbUBvQGtAXoBKwDTAIcATgApABD//v/x/+j/4f/b/9b/1P/W/9z/4//p/+3/7//x/+//5f/U/7//rP+h/57/nv+c/5L/gf9r/1X/Qf8w/x//C/7x/tL+sP6R/nj+Zf5V/kX+NP4l/hn+E/4P/gr+Av34/fD96v3k/dr9y/26/az9of2Y/Yz9ev1j/Uv9M/0d/QX86vzP/Lf8pPyU/Ib8ePxq/F78VPxJ/Dr8KPwW/Av8B/wH/AP7+Pvp+9r70vvR+9H70PvN+8v7y/vM+8r7xPu7+7P7r/uu+7D7sfuz+7j7vfvC+8T7xPvG+8v70vvY+9r72vvc++b79fwB/AP7+vvu++X74/vi+9/72/vg+/b8HPxB/FT8S/wu/A/8AfwI/Bn8IfwV+/b70Puw+5v7jvuC+3T7ZftZ+1L7UftP+0n7P/sx+yP7FfsH+vv68frq+uj66Prl+tv6yfq0+qH6lPqP+o/6lPqZ+p36n/qb+o/6fPpl+k36N/ol+hb6CPn8+fP57vnr+eX53PnR+cf5w/nE+cb5x/nG+cb5yvnR+dX50Pm/+aX5j/mF+Yz5nPms+bP5sPms+a35uPnL+dz55fnm+eP55Pns+fz6Dvoe+in6MPoz+jT6M/ow+i/6Mfo3+kL6UPpg+nD6f/qN+pn6o/qr+rP6vPrH+tX64/rv+vn7AvsL+xf7I/st+zX7O/tE+077Wvtl+2z7cft2+337iPuU+577pvus+7L7ufvA+8f7zPvR+9b73Pvj++r77vvw+/L78/v1+/j7/vwE/Ar8D/wT/Bb8Gvwh/Cr8M/w5/Dv8Ofw4/Dv8QfxJ/E/8UPxP/Ev8SfxH/Eb8RfxD/EH8QfxC/EL8QvxB/D/8P/xA/EL8Q/xG/Ev8UfxY/F38YPxi/Gf8b/x6/IT8ivyL/Iv8jPyQ/JT8mPyb/KD8p/yz/MH8z/zb/Ob88v0B/RP9KP08/U79Xv1s/Xv9iv2Z/ab9sv27/cT9zf3V/dr93P3d/eD96f36/hH+Kv5B/lP+X/5p/nH+e/6G/pL+nv6p/rX+w/7T/uT+9v8F/xT/I/80/0n/Xv9v/33/iv+a/7H/zf/n//wACAARABsAKwA/AFQAagB/AJYArADAANEA3gDuAQIBHgE8AVkBcgGIAZ4BswHJAd8B9wISAi8CTAJlAnsCjwKmAsAC2gLxAwcDHwM+A2IDhQOhA7gD0APtBA0EJQQtBCwENARaBKcFEwWHBe0GPAZ3BqsG6Ac8B7EIRAjhCWcJrgmiCUkIwwg4B8EHYgcQBr8GcgYyBgUF6wXaBckFtgWhBY8FfAVnBU0FLwUPBO4EygSnBIkEdwRzBHsEhgSNBJAEkASTBJgEmgSUBIgEeARqBF8EVQRHBDYEIwQSA/8D5QO8A38DLwLXAoMCQAITAfkB5wHRAawBeQE8AP4AxgCUAGgAPwAdAAT/9f/s/+P/1f/C/63/l/+D/2//WP9B/yr/Ff8D/vD+2/7G/rP+pv6d/pf+kP6F/nj+a/5h/lv+Wv5c/mL+a/51/n7+hf6K/o3+j/6S/pf+n/6r/rn+w/7F/r7+rv6c/oz+f/50/mn+Xf5R/kj+Q/4//j7+P/5H/lb+bf6F/pn+pf6q/qz+sP63/sD+yf7T/t7+7P79/w//If8y/0L/VP9p/4H/nf+8/94AAwApAFEAeQCiAMoA8AETATIBTwFvAZgByQIBAjgCagKXAsEC7gMeA08DfQOnA84D8wQZBD4EYwSFBKUExwTpBQ0FMAVRBXEFkQWyBdIF8gYRBjAGUQZ1BpsGwQbnBw4HNQdfB4gHrgfPB+wICQgoCEoIbAiNCKoIxgjhCP0JGQk3CVQJcgmPCaoJwQnUCeYJ+QoQCioKRQpeCnIKgAqMCpQKmgqdCp0KmQqSCokKfwp3CnMKcwp4CnwKewp0CmYKUgo7CiAKBAnpCdIJwgm7CbsJvQm9CboJswmqCaAJlgmLCX4JcAliCVUJSQlACTcJMQkrCSUJHQkUCQkI/QjwCOUI3AjXCNgI3AjhCOII2wjLCLoIrgikCJ4ImgiWCI0IfQhoCFUITAhQCF4Ibgh4CH0IggiMCJ4IsQjDCNII5QkFCTMJZQmPCacJsQm1Cb4JywnTCc4JuwmhCY0JhwmOCZ0JrQm9Cc4J4QnzCgMKEAoeCjEKSwpoCoAKjgqRCpAKkwqfCrYK1ArzCw8LJQs3C0gLXAt4C5wLwgvmDAIMFAweDCUMLQw3DEMMTwxcDGgMdAx/DIoMlQyiDLEMvgzHDMsMywzKDMwMzwzRDM4MyQzFDMcMzwzYDN0M3AzZDNwM5gz1DQQNDQ0QDRENEw0XDR0NJg01DU4NcQ2aDcIN5w4NDjsOdg6/Dw8PWw+YD78P0w/eD/EQHBBmEMQRIRFlEYcRkRGVEaQRvRHXEeYR5xHfEdMRxhG5EbIRvxHnEiESUBJUEh8RyRGAEWwRkRHOEfQR5RGpEWARKxEZESYRSBF7EbsR+hIgEhMRzRFnEQ4Q5hD7EToRgxHBEfASFxI8El0SbxJvEl4SRRIoEgMR1BGeEXIRaBGTEfMSdBLyE1ATfROCE3UTcBOAE6QTyxPgE9UTpRNUEukScBH1EYcRMxD/EOUQ2hDSEMUQtRCoEJ0QkhCDEG4QVxBAECoQEA/vD8gPoQ9/D2EPRQ8lDv8O1g6vDosOaQ5JDioOEA36DeYNzQ2vDZINfQ11DXUNcA1bDTUNCgzpDN0M5wz+DRsNOw1dDYENpw3LDekOAQ4RDhcODw34DdYNrw2LDWwNUg06DSMNDwz+DPAM4AzMDLcMowyQDH0MZAxFDCIMBAvxC+gL4gvYC8gLswudC4YLawtLCygLBgrqCtQKvgqkCoMKYAo+Ch4J/wnfCb4JnwmCCWgJTAktCQsI6gjKCK0IjwhwCE8ILwgRB/QH1ge1B5QHdAdYBz4HIwcFBuQGwgadBngGUgYsBgYF4wXABZ0FdwVRBSsFBQTfBLYEiQRdBDQEDwPrA8UDnANwA0YDHwL6AtICpgJ5Ak4CKAIFAeEBuQGOAWQBPAEWAO0AwQCUAGoARQAkAAP/3v+z/4b/Wv8v/wT+2f6t/oP+XP44/hX98f3J/Z39cP1D/Rb86fy9/JP8avxE/CD7/PvX+7D7iPtf+zj7FPrx+tH6sfqS+nP6U/oy+g/57fnM+a75k/l2+Vb5MvkL+OT4v/id+Hz4XPg/+Cb4Evf/9+v30ve39573ifd292L3Svcv9xP2/Pbo9tf2xPau9pf2gvZx9mT2WPZL9j32MPYn9iH2HvYc9hv2GPYU9gz2A/X59fP18PXw9fD17vXp9eT14PXf9d713fXY9dP1z/XP9dL12PXc9d714fXl9e71+PYA9gP2A/YD9gj2EfYb9iX2LfY09j32RvZM9k/2T/ZS9l72cvaI9pr2pfat9rj2y/bi9vf3B/cR9x33LfdC91j3avd594j3m/ez98r33vfv9//4FPgs+Eb4XPhu+H34jvih+Lb4yfja+Or4/fkV+TD5R/lU+VL5Qvks+Rr5E/kZ+Sn5OvlJ+VT5YPlx+Yf5n/mu+bH5qPme+Z75rPnG+d755/nb+cX5tPm7+d/6F/pT+oT6pfq7+s363/rt+vD65frS+sD6tvqz+rL6q/qc+or6e/p2+nz6i/qd+rH6xvra+u36//sN+xj7Ivsr+zb7QftN+1b7XPte+1/7Yvto+3D7dvt3+3b7d/uA+5L7qfu++9D73/vx/Aj8IPw0/ED8R/xQ/GX8hvyv/Nr9Bf0x/WD9jv2z/cr90/3Z/eL97/32/ev9zP2o/Z/9zf47/tb/d//2AD4AVwBeAHEAoQDmASgBUgFbAU8BPQEzASwBHgD7AMMAfwBAAA7/6//S/77/rP+f/5X/j/+K/4j/iP+N/5T/mf+a/5j/lP+R/43/g/9x/1v/R/87/zf/Of85/zL/JP8R/v3+6/7a/sn+s/6X/nb+Uf4u/hD9+P3l/dT9xP22/ar9of2Z/Y/9gv11/Wr9Yv1b/VH9Rf03/S39J/0j/Rz9EPz//Oz82vzI/LT8nfyG/HL8YPxQ/D/8LPwb/A/8CfwE+/v77fvc+8/7yPvI+8n7xvu++7P7qfui+577nPuc+6H7qPut+637pvub+5H7ifuG+4P7gfuC+4b7jfuT+5X7kvuQ+5H7l/ud+6H7ovuk+6v7uPvG+8z7yfvB+7n7tPux+6z7p/us+7/74PwD/Bb8Efv5+9/70fvX++b77/vn+8/7sfua+4z7hPt6+2j7Uvs9+zD7LPsq+yf7H/sU+wf6/Prx+uX62frQ+sv6yvrI+sH6tPqk+pb6jfqJ+ob6gvp9+nr6evp7+nj6bfpb+kX6MPof+hD6Afnz+eb53PnV+c/5xfm5+a75qPmn+aj5qvmq+az5svm8+cP5wPmy+Zz5ifmB+Yf5lPmi+an5q/ms+bL5vfnJ+c/5zvnJ+cb5yfnU+eX59/oJ+hf6I/ot+jT6Ofo8+j76QPpE+kv6U/pd+mj6dfqC+o76mfqi+qz6ufrI+tj65/ry+vr7AvsN+xv7K/s4+0L7SftQ+1j7YPtm+2r7bftw+3f7gPuJ+4/7k/uY+577qPuy+7z7w/vK+9H72fvi++r77/vy+/X7+fv+/AT8CvwQ/BX8Gfwc/B/8JPwq/DP8PPxC/ET8RPxD/ET8SvxQ/FX8VfxS/E38SvxI/Ej8SPxH/EX8RfxF/EX8RPxB/ED8P/xA/EH8QfxB/ET8SPxQ/Ff8Xfxh/GX8a/x0/H38g/yH/Ij8ifyL/I78kvyW/Jv8o/yu/Lv8yPzU/OD87fz9/RH9Jf03/UX9Tv1W/V39Z/10/YP9lP2l/bb9xf3P/dT91P3U/db93v3r/fv+Dv4h/jP+RP5S/l7+Z/5w/nr+hv6V/qb+t/7J/tz+7/8B/xP/J/87/1D/ZP91/4H/jf+d/7X/0f/sAAAADAAUAB0AKwA9AFEAZAB2AIkAnQCxAMIA0wDkAPoBFAEvAUgBXwF1AY4BqQHDAdsB8AIDAhgCLwJHAmACfAKZArUCzwLlAvsDFAMyA1IDcAOIA54DuAPWA/IEAQP/A/gEBAQ1BIwE9wVeBbMF+QY+BowG5wdKB7EIHQiKCOsJKQkxCP4InggrB70HWgcABqkGWAYUBeUFyQW4BagFlAV/BWwFWgVGBS4FEgT1BNcEugSeBIYEdwR0BHwEhgSLBIoEhASBBIUEjQSTBJEEhwR5BGsEYARWBEwEPwQuBBkD/APQA5IDRALwAqECZAI8AiICCwHtAcMBkAFaASYA9ADAAIkAUwAmAAf/9//w/+f/1//A/6f/kf9//27/XP9I/zT/H/8M/vf+4f7N/rr+rP6i/pj+jf6A/nX+a/5l/mH+X/5f/mP+aP5v/nb+e/5+/oD+g/6I/o/+mv6o/rj+xv7M/sr+w/65/q/+p/6c/o7+fv5w/mb+Yf5g/mH+Zf5v/n/+lf6s/r7+yf7N/s7+0f7W/tv+4P7m/u7+/P8N/x//Mf9C/1T/af+D/6D/v//fAAEAJgBMAHQAnADDAOkBDQEtAUsBZwGHAa8B3wIUAkkCeQKjAswC9gMiA1ADewOkA8wD9QQeBEYEagSKBKkEyQTtBRIFNwVYBXcFlQWzBdIF8AYNBiwGTQZyBpoGwQboBw4HNQddB4UHqwfOB+4IDggvCFEIcgiRCK4IyAjhCPwJFgkyCU0JagmHCaQJwAnZCe4KAQoTCicKPApTCmsKgQqTCqAKpwqrCq0KrAqqCqYKoAqbCpcKlgqUCo4KhQp4CmoKWgpJCjQKGwoCCe8J6QnvCfsKBgoGCfkJ5AnMCbcJqAmdCZQJiAl6CWsJXglVCU8JSglACTMJIgkRCQQI+gjzCO8I6wjpCOcI5QjiCNwI0wjHCNMIzQjDCLYIqAiaCIwIfghwCGQIYAhlCHAIfAiECIoIkwijCLkIzwjdCOcI9AkNCTQJYAmJCacJwAnbCfkKEQoWCgAJ1wmuCZgJmQmqCb0JyQnQCdkJ6Qn9Cg4KFgoaCiIKMwpMCmQKdAp5CnkKfQqJCqAKvgrfCv8LGwszC0cLWwtzC5ILtgvZC/UMBwwQDBYMHAwmDDMMQQxPDF4MbQx6DIQMjgyYDKMMsAy6DMAMwgzBDMEMwQzBDL0Mugy6DMEMzwzdDOMM4QzdDN4M6gz8DQwNFQ0WDRcNHA0oDTUNQg1RDWYNhw2yDeIOEQ4/DnEOrw76D0oPkw/ID+MP7A/yEAgQORCEENsRKBFeEXsRihGYEasRwRHPEdIRyxG/Ea4RmhGGEX8RmhHaEi4SahJoEhwRqhFMETARWBGdEcoRwxGPEU8RIxERERARFBEbESsRRhFcEV0RQBESEO0Q6hELEUMRexGoEc0R8RIYEjoSTxJREkQSMRIaEfwR0hGfEW8RVRFjEZkR6RI+EoASqBK6EsoS6RMcE1kTjxOoE5sTaxMhEsYSYxH9EZwRTBETEPMQ5RDdENMQxRC1EKcQmRCJEHQQXRBFEC0QFA/2D9QPsQ+RD3YPXA89DxkO7w7GDqEOgA5iDkcOLg4XDf8N4w3GDawNnA2YDZkNkQ16DVYNMA0VDQ8NGw0zDVMNeg2oDdoOCg4wDkgOVg5cDl4OWg5MDjMOEQ3tDckNqg2QDXwNbQ1eDUsNMw0XDPoM4gzNDLYMmAxzDE0MLQwYDAoL/gvtC9gLwwuvC5sLgQtgCzwLGwsCCuwK1Qq3CpIKbApLCi8KFQn5CdsJvwmmCY4JcwlSCSwJBwjnCMsIsQiVCHYIVgg3CBkH+QfWB7IHkAdxB1UHOQcbBvoG2Aa2BpQGbwZKBiQGAAXdBbsFlwVzBU4FKAUBBNcErASBBFoENgQRA+kDvAOOA2QDPgMaAvQCyQKcAnACSwIoAgMB2gGsAYABVwEyAQ0A5gC7AJIAbQBNAC4AC//i/7T/hv9a/zD/B/7e/rX+jv5o/kX+IP34/c39n/1w/UP9F/zu/Mb8nvx3/FH8K/wF+977tvuO+2j7RPsj+wP64/rD+qL6f/pd+jr6Gfn5+dv5vfme+Xz5Vvkv+Qr46fjJ+Kv4jPhv+Fb4QPgt+Bj3//fl98v3tPeg94z3dvde90X3LfcX9wL26vbR9rr2qPaa9pD2hPZ09mL2UvZG9j/2PfY89jr2NvYv9ib2HPYS9gr2BvYE9gP2AfX+9fr19/X09fL17/Xr9eb14/Xj9eb16/Xu9fH18vX39f72BvYN9g/2EPYR9hj2IvYu9jf2PPZB9kj2UvZa9l72XvZg9mv2f/aX9qv2uPbB9sv23fbz9wn3GPci9yv3OvdP92X3ePeG95P3pPe699L36Pf6+Av4Hvg1+Ez4Yfhz+IP4lPio+L340fjj+PP5Bfka+TP5SflW+Vb5Sfk0+SD5FfkY+SX5N/lI+Vb5Yflv+YL5lPmh+aP5mvmQ+Y/5nvm4+dH52vnQ+br5qvmw+dD6A/o6+mn6j/qx+tT69/sS+x/7G/sK+vf65frW+sT6rPqR+nf6Z/pi+mf6cfp9+or6mvqs+r/60Prf+uz6+PsE+xH7HPsj+yX7Jfsm+yn7Lvs0+zr7P/tE+0v7WPtp+337kfuj+7T7xPvU++P77fvy+/f8BPwd/EP8cvyj/NH8/f0o/VP9dv2O/Zf9mv2c/aP9pv2c/X/9Wv1F/Vv9qP4j/q7/Jv90/5z/sf/OAAMATwCfAN0A/QEAAPEA3ADFAKcAfgBJAA7/2v+1/53/jf99/2z/W/9Q/0r/SP9H/0b/R/9M/1H/VP9S/0v/Q/8+/zn/Mf8j/xH+//7y/u3+6/7p/uT+2/7Q/sT+t/6m/pL+eP5b/jr+F/3x/cz9p/2G/Wj9UP0+/TT9Lf0n/R79EP0A/PH85fzb/NL8yPy9/LX8rvyp/KP8m/yS/Ir8gfx2/Gj8VPxA/C78HvwR/AH77vva+8v7wvu++7r7sful+5n7kfuQ+5H7kfuN+4b7fPty+2r7Z/tp+3H7e/uE+4b7gvt5+3H7avtl+2H7Xftb+177ZPto+2f7Yftb+1n7X/tn+277cvtz+3f7fvuH+4z7jPuL+4r7jPuN+4r7hfuC+4r7nfu1+8T7xPu1+6L7mPub+6b7rvur+5z7iPt7+3b7dftv+1/7R/st+xn7DfsH+wH6+frv+ub63/rY+s76wvq2+q76qvqp+qb6nvqU+o36ifqH+oL6d/pp+lz6VvpW+lb6UfpE+jP6I/oX+gz5//nv+d750PnG+b75tPmo+Zv5kfmO+Y75j/mR+ZP5l/me+aP5ovmZ+Y35g/mC+Yn5lPme+aX5qvmv+bf5vvnB+b75t/my+bT5vfnL+dv56vn3+gT6EPod+ij6M/o7+kP6SfpP+lP6Vvpb+mP6bvp7+oj6k/qe+qj6tfrE+tT64vrs+vP6+/sH+xf7Kfs6+0f7Uvtb+2T7a/tx+3T7d/t6+4D7h/uM+4/7kPuS+5f7n/up+7L7uvvB+8r71Pve++b77Pvw+/X7/fwG/A/8Ffwa/B38IPwj/Cb8Kfwu/DT8O/xC/Eb8SPxJ/Ev8UPxU/Fb8VfxS/E38SvxJ/Er8SvxI/Eb8RfxF/EX8RfxF/EX8RvxG/ET8Qfw+/D38QPxH/E/8V/xc/GD8Y/xo/G78dfx6/H38f/yC/Ib8i/yQ/Jj8ofyt/Lr8xvzQ/Nv85/z3/Qr9Hf0t/Tf9PP0+/UL9Sf1W/Wf9fP2S/aX9tP29/cD9wP3B/cT9zP3W/eL98P4A/hL+Jv44/kb+T/5W/l/+bP59/pH+pf65/s7+4v74/w3/Iv84/0//ZP92/4T/kv+j/7r/1f/t//8ACgARABoAJwA3AEcAVgBkAHQAhgCaAK8AxADaAPEBCwEjATsBUgFrAYcBpQHBAdcB5wH0AgMCFgIvAk0CbgKPAqwCxALYAuwDBAMfAzsDUwNnA30DmAO0A8gDxwO3A6wDwAQCBGYEzwUkBWEFmwXtBmMG6wdnB8EH9wgaCDsIXAhuCGEILQfdB4EHJgbTBocGRQYPBecFywW0BZsFfwVkBU0FOAUjBQkE7QTSBLsEqASWBIYEegR3BHwEhQSKBIYEfAR0BHYEgASMBJAEigR+BHIEbQRtBGwEZQRUBDgEEwPhA6EDVQMFAr0ChQJhAkgCLwIMAd8BrgF+AVIBJQDvALEAcQA5ABQAAf/4/+7/3P/E/6v/lf+E/3X/ZP9R/z3/KP8T/v7+6v7Y/sj+uv6s/pz+jf5+/nT+bv5r/mr+af5p/mr+bf5x/nT+dv53/nn+ff6D/oz+mf6q/rz+zv7a/t/+3f7Z/tP+zf7D/rX+pf6W/ov+hv6F/ob+if6R/qD+tf7K/tv+5P7o/uv+7v7z/vn+/f8B/wn/FP8j/zP/RP9V/2r/hP+h/8D/3wAAACMASwB1AJ8AxQDpAQwBLgFQAXEBkQGyAdgCAgIwAl4CiQKyAtoDAwMtA1YDfQOiA8gD8QQbBEQEaQSLBKsEzwT2BR8FRQVmBYMFngW5BdYF8wYQBi8GUQZ2Bp4GxwbvBxUHOgdgB4UHqwfOB/EIEggzCFQIdAiSCK0IxQjbCPIJCQkiCT0JWAl1CZIJsAnNCegJ/goPCh4KLQpACloKdwqSCqYKswq6Cr4KwArBCsAKuwq0Cq0KpgqeCpUKiQp+CnUKcApqCmIKVQpGCjwKPApECk0KTwpDCigKBQnjCccJtgmsCaMJlgmGCXYJaQljCWEJYAlZCUwJPAkrCR0JFAkOCQkJAwj8CPYI8AjpCOMI3QjYCOUI3wjRCL4IqgibCJEIigiFCH8IfQiBCIoIkwiZCJwIowixCMQI2AjmCPAI/AkTCTYJXgmECaQJxQnsChUKMQoxChEJ4Qm5CbEJyAnuCgsKFAoPCgoKEQoiCjAKNAouCigKLwpCClsKbwp6Cn4KggqOCqQKwgriCwILHQszC0ULVgtsC4kLrQvQC+wL/QwGDAwMFgwjDDMMQQxPDFwMawx4DIMMjAyTDJsMpgywDLcMugy5DLgMuAy1DLEMrQyuDLgMygzbDOUM5QzhDOIM7Az8DQwNFQ0YDRwNJg02DUcNVg1nDX8NpA3VDgoOPQ5vDqUO5w80D4EPvw/lD/IP9hABECMQWxCiEOcRHRFDEV4RdhGREaoRuhG9EbURqRGcEYwRdBFZEUoRXhGYEeUSGhISEccRWxEGEO8RFhFUEX4RfRFcETgRJREjER8RDBDsEM4QvxDBEMoQ0hDZEOgRBBErEVIRchGLEaURxRHrEgsSHhIiEhwSExIHEfMR0RGhEW8RSRE7EUgRbBGaEccR7BIKEioSUhKDErMS1RLcEsUSmBJiEisR9RG8EYERSREcEQEQ9BDsEOIQ0xDBEK4QnRCLEHYQXxBHEDAQGA/+D+APwg+mD4wPcQ9TDy0PBA7bDrYOlw56DmAORQ4qDg8N9Q3fDdANyg3IDcMNsQ2SDW0NTg0/DUMNVg1yDZYNwg35DjMOaA6ODqEOpg6mDqYOpQ6hDpMOfQ5gDkEOJQ4ODf4N8A3gDccNpQ1+DVcNNg0aDPwM1gyrDIAMXAxCDC0MFQv5C9sLwguwC58LigtuC04LMQsaCwUK6grICqAKewpdCkcKMQoYCf0J4gnKCbMJlwlzCUsJJQkFCOwI1Ai5CJkIeAhaCD0IHwf+B9kHsweQB28HUAcwBw8G7gbNBq0GiwZnBkEGHQX6BdcFtAWQBWkFQwUcBPQEzASkBH4EWQQzBAkD3QOwA4UDXwM7AxUC6wLBApgCdAJQAioB/QHMAZwBcQFNASsBBgDeALcAkwBzAFUANAAM/9//sf+F/1z/NP8L/uH+uf6S/m3+SP4g/fT9x/2a/XD9SP0h/Pr80vyq/IL8Xfw3/BD75/u++5b7cvtR+zP7E/ry+s76qvqH+mX6Rfom+gb55fnD+Z/5evlW+TT5Ffj3+Nn4u/ic+IH4afhT+D74JvgN9/L32vfD96/3m/eG93H3XPdE9yr3D/b09t72z/bF9rv2rvab9ob2cvZk9l72XPZc9lr2U/ZK9j72M/Yo9h/2GfYW9hT2E/YS9g/2DPYI9gX2APX89ff19PXz9fb1+vX99gD2AvYG9g32FfYc9h72H/Yh9ij2MvY+9kb2SvZN9lL2W/Zl9mv2bvZy9nz2jvak9rj2xfbP9tn26vb/9xX3Jfcw9zr3SPdb93D3g/eR9573rffB99j37/gD+Bb4Kfg9+FL4Zfh3+If4mviv+Mb42vjs+Pv5Cvkc+TD5RPlS+Vb5Tfk8+Sj5G/ka+SX5OPlK+Vf5X/ln+XP5gfmO+ZT5kfmM+Y75nfm0+cv51PnN+b35s/m6+dX5/voq+lP6ePqe+sn69PsZ+y/7Nfst+x/7DPr0+tT6rfqG+mn6WvpZ+mD6aPpt+m76cvp7+on6mvqr+rr6yfrW+uL66frs+uv66vrs+vL6+fsB+wj7Efse+zD7Q/tV+2P7cPt++4/7ofuv+7T7svuv+7j70/v+/DH8YfyL/LL82/0J/TT9U/1i/WT9Y/1m/Wr9Yf1D/RL85PzW/Pv9U/3I/jn+kv7O/vr/Kv9q/7gABgBGAG0AewB4AGsAWAA8ABP/3/+m/3L/T/88/zT/Lv8k/xf/DP8G/wb/CP8J/wj/B/8K/w7/D/8L/wP++/73/vX+8/7t/uP+1/7N/sb+wf68/rf+tP6z/rL+rf6f/of+af5I/ib+A/3b/av9c/06/Qf84PzJ/MD8wPzA/Lr8rfyb/If8dvxp/F/8V/xO/Eb8Pvw3/DH8Lfwr/Cr8Kfwl/Br8Cvv3++f72/vS+8f7uPul+5P7hvt++3n7dftu+2b7X/ta+1j7V/tU+0/7SPtA+zn7Nfs2+zz7RvtP+1T7VvtU+1H7TvtL+0b7QPs8+zz7Pfs9+zn7Mvss+yr7Lvs1+zr7PPs8+z77Q/tK+1D7VPtW+1n7XPtf+1/7W/tY+1r7Y/ty+377gPt4+2v7Yvtg+2X7avtp+2H7V/tQ+1D7U/tS+0j7Nfse+wn6+vrv+ub63PrS+sn6wvq7+rD6ofqT+or6iPqL+o36i/qF+n/6ffp8+nf6a/pZ+kf6Ovo2+jT6L/om+hn6DvoH+gL5+fns+dv5y/m/+bb5rfmh+ZP5iPmB+X/5gPmA+X/5gPmA+YH5fvl6+Xf5ePl++Yj5kvmZ+Z/5pfmt+bX5ufm2+a75pvml+a35vPnM+dr55fnu+ff6AvoN+hj6Ivot+jf6QfpJ+k76UvpW+l76avp5+oj6lPqd+qX6rvq6+sf61Prf+un68vr++w37Hfsu+z77Tfta+2f7cvt7+4H7hvuL+5L7mfue+6D7oPug+6P7p/uu+7T7uvvB+8n70/vc++T76fvt+/P7/PwG/BD8F/wc/B78IPwj/Cb8Kfws/DH8N/w9/EP8R/xK/E78UfxU/FX8VPxS/E/8TfxN/E38TfxK/Ef8Q/xB/EH8QvxD/EX8RfxF/EP8QPw8/Dr8O/xA/Ej8UPxW/Fn8W/xc/F78Yvxn/G38cvx3/Hz8gvyI/JD8m/yo/LX8wfzL/NX84Pzv/QH9E/0h/Sr9LP0s/S39M/1B/VX9bf2E/Zf9ov2n/af9p/2p/a/9uP3B/cv91/3l/fj+C/4d/ir+M/48/kf+Vv5p/n7+k/6o/r7+1f7s/wL/Gv8x/0r/Yf92/4f/l/+o/73/0//n//b//wAGAA8AHAArADoARwBVAGQAdwCMAKIAuQDQAOkBAQEZATABSAFkAYIBnwG4AcsB1wHiAfACBAIeAjwCXAJ6ApMCqQK8AtEC6wMGAx8DMgNDA1gDcQOIA48DfwNiA1YDegPVBFEExgUVBUIFcQXKBlkHAweVB+cH9QfeB8cHxgfQB88HrwdvByAG1AaXBmkGRgYqBhAF8wXQBacFewVTBTIFGAUABOgE0AS7BKwEoQSWBIkEfQR3BHoEgwSIBIQEeARtBGsEcwR/BIQEfwR1BHAEdQSABIkEhQRxBE8EJAPwA7MDbAMhAtwCpwKEAmsCUAIrAf0BzAGhAXoBUgEgAOIAoABkADkAHgAM//v/5f/M/7P/nf+M/3z/a/9Z/0b/M/8g/w3++/7q/tv+zP67/qn+mP6J/oD+fP56/nj+dv50/nT+df52/nb+dv53/nn+fv6G/pD+nf6v/sb+3f7w/vz/AP7//vv+9P7q/tz+zP6+/rT+r/6t/qz+rv60/sL+1/7s/vz/Bf8I/wn/C/8Q/xb/Hv8m/zD/PP9K/1n/af99/5T/sP/O/+sACAAmAEkAcgCcAMQA5wEGASUBSAFtAZQBuQHbAf0CIAJFAmsCkQK5AuMDEAM9A2cDjQOvA9ED9gQdBEQEaASLBK8E1gUBBS0FVQV3BZQFrgXJBeUGAwYgBj4GXgaABqYGzgb2BxwHQQdkB4YHqQfLB+sICwgpCEcIZgiECJ8ItwjLCN8I9QkPCSwJSQllCX8Jmwm5CdkJ9goLChsKKAo5ClIKcQqOCqYKtAq8CsIKxwrKCsgKvwqyCqYKngqbCpoKmwqcCp4KogqlCqQKnwqWCo0KhwqCCngKZgpKCicKAwnlCdEJxQm9CbQJqAmYCYgJfQl3CXYJdAluCWMJVQlHCTsJMQkmCRoJDgkDCPoI9AjuCOoI6AjnCOwI5QjZCMgIuQixCK4IrAinCKEInAieCKUIrAiuCKsIqQiuCLwIzwjgCO4I/wkYCTkJXQl7CZMJrgnQCfYKEgoSCfUJywmzCcIJ9Qo0CmIKbwpjClMKTQpTCloKVwpICjoKOQpJCmUKfwqSCpwKpAqxCsYK4Qr9CxcLLAs8C0gLVgtrC4kLrAvNC+UL8wv8DAYMFQwpDDwMSwxWDGAMbQx7DIcMjwyVDJoMoQyoDK0MrwywDLIMtAy1DLIMrgysDLQMxAzWDOQM6QzqDOwM9A0BDQ4NFg0cDSINLg0/DVMNaA2CDaYN1Q4KDj0ObA6bDtQPHQ9tD7UP4w/0D/MP+BASEEcQjBDMEPoRFhEoET8RYBGFEaERrBGkEZQRhRF8EXIRXhFBESkRKBFEEW8RihF9EUQQ/BDJEMUQ6REYETQRNBElER0RJRE0ETYRIBD0EMUQpBCYEKAQtxDXEP0RIxFBEVQRXRFoEXwRnBHBEd4R7RHyEfQR9RH0EekRzhGlEXgRUBE3ES8RNhFKEWQRghGeEbcRzhHjEfUR/BHzEdsRuxGcEYURdRFlEU8RNhEdEQwRAhD7EO8Q3RDHELIQnhCNEHkQZBBNEDUQHhAFD+sP0Q+3D54Pgw9jDz0PFA7tDssOrg6TDncOWQ46Dh0OBw36DfgN+w37DfAN1g2wDYkNbw1nDXENiQ2qDdQOCQ5HDocOvQ7fDu4O7g7rDuoO7Q7wDu4O5A7SDrwOpA6PDn0ObQ5ZDjwOFA3nDboNkA1pDT8NDwzbDKsMhwxsDFMMNgwRC+sLzQu4C6cLlQt8C2ELRwszCx0LAgrdCrUKkQp3CmQKUgo8CiAKBQnsCdMJtgmRCWkJQwkmCRAI+QjdCLoIlwh3CFsIQQgiB/4H1wexB40HbAdJByYHBAbjBsIGoQZ+BloGNgYTBfIFzgWpBYIFWwU1BRAE6QTCBJsEcwRLBCID+QPPA6cDgANZAzIDCQLhArsCmAJ1Ak4CIAHvAb4BkgFsAUoBJgEBANwAuQCZAHoAWAAyAAn/3v+1/4z/Y/85/w/+5f6+/pf+b/5E/hf96/3C/Z39ev1V/S79BPza/LT8kfxt/Ej8Hvvy+8j7ovuC+2T7RPsg+vr60/qw+o/6cPpR+i/6C/nn+cL5oPl/+WD5Q/kl+Qf46PjK+K34k/h7+GT4TPgz+Bn3//fm98/3uvem95P3fvdn90z3MPcW9wP29fbs9uL20/a/9qj2k/aF9n/2ffZ89nj2cPZk9lj2TPZB9jn2MvYu9ir2KPYm9iP2H/Ya9hT2D/YJ9gX2A/YE9gf2DPYQ9hP2FfYY9h72JvYs9i/2MPYx9jb2P/ZK9lP2WfZc9l/2ZfZt9nT2e/aD9o72nvax9sL2z/ba9uX29PcJ9x33L/c990n3WPdp93z3jved96v3u/fN9+L39/gL+B/4M/hH+Fr4a/h7+Iv4nfiy+Mf43Pju+P75Dvkf+TH5RPlS+Vf5UvlC+S75HvkZ+SL5NflI+VT5Wvld+WT5cPl++Yj5jPmM+ZD5nvmz+cj50vnO+cP5vfnF+dz5/voi+kP6ZfqK+rT64PsG+yD7Lfsv+yn7G/sC+t36sPqD+mP6VfpX+l/6Zfpk+lz6VfpV+l76bfqA+pH6n/qq+q/6sfqw+q/6sfq3+r/6yPrR+tv66fr++xb7Kvs3+zv7PvtH+1f7avt3+3n7d/t7+5L7vvvz/CP8Rfxd/Hj8oPzT/QP9Iv0t/S39MP05/T79Lfz8/Ln8f/xw/Jj87P1S/a/9+v48/oL+1v8w/4L/vv/d/+T/2//M/7z/qf+P/23/RP8b/vj+4P7U/s/+y/7G/r/+vP68/sD+w/7E/sP+wv7E/sf+x/7F/r/+uv65/rr+vf68/rn+tf6x/q3+qP6h/pz+nv6m/rL+uP6x/pv+e/5X/jX+Ef3j/ab9W/0K/MD8ifxr/GH8Y/xl/F/8UPw7/CX8EvwE+/r78vvq++P73PvX+9P70PvP+9D7z/vM+8X7uPup+5v7kvuM+4f7fvtw+2D7UPtF+z77Ovs2+zL7LPsm+yH7Hfsa+xf7E/sO+wj7BPsC+wT7CvsR+xn7IPsm+yr7LPsr+yj7I/sd+xn7FfsP+wn7A/r/+v77APsD+wP7APr/+wD7B/sQ+xr7Ifsk+yT7Jfsm+yf7KPsq+y/7N/tA+0n7TPtJ+0D7Nfsu+yz7Lfsu+yv7Jvsh+yD7Ifsi+x77E/sE+vX66frh+tn60frG+rv6sPqi+pH6f/pw+mn6a/p1+nz6ffp2+m36Zfpg+lz6UvpD+jH6JPoc+hj6E/oL+gD59/nz+fD56/nh+dP5xPm4+a/5p/md+ZL5iPmA+Xv5ePl1+XL5bvlq+Wb5Yvlf+WH5aPly+X35hPmJ+Y35lfmg+av5sPmt+aX5n/mh+az5u/nL+df54Pnq+fX6AfoK+hH6Fvoc+iT6Lvo3+j76RPpL+lb6Zfp3+of6k/qb+qH6p/qw+rz6yvrZ+ub68vr8+wf7E/sh+y/7PvtN+1z7avt1+3/7iPuR+5v7pvuu+7T7t/u4+7r7vPu/+8P7x/vM+9L72vvh++f76/vv+/P7+fwB/Ar8EfwW/Br8Hfwg/CP8J/wr/C/8NPw7/EH8RvxL/E/8UvxV/Fb8VvxU/FH8T/xP/E/8T/xN/En8RPxA/D38O/w7/Dv8Ovw5/Dn8OPw4/Df8OPw7/EH8SPxP/FT8V/xW/FX8VfxY/F78Zvxt/HP8ePx+/IX8j/yc/Kr8t/zC/Mz81vzk/PT9BP0S/Rr9Hf0c/R39I/0y/Uj9Yf14/Yn9kf2S/ZH9kP2T/Zn9ov2r/bb9wf3Q/eH98v4C/g/+Gv4n/jf+Sf5d/nH+hf6a/rD+yP7h/vr/E/8t/0j/Yf93/4n/mf+o/7r/y//b/+b/7v/2//8ACwAaACkAOABIAFoAbQCBAJUAqwDCANoA8gEJASEBOgFWAXQBjwGkAbIBvgHLAd4B9AIOAigCQQJaAnAChgKcArUC0QLtAwUDFwMmAzcDSgNYA1MDNwMWAxEDSAO/BFkE4wU6BWEFhAXSBl4HDQelB/kIAQfaB68HmQeRB4EHVAcOBsEGhAZiBlYGUgZLBjoGHAXxBbwFgQVJBRkE9QTbBMcEuQSuBKkEowSbBI4EgAR4BHoEggSIBIYEegRuBGgEbQR0BHYEcQRpBGgEcwSEBJEEjQR2BFIEJwP5A8UDiANDAwECzAKmAosCbgJIAhgB5QG5AZUBcgFJARQA2QChAHEATAAvABL/9v/a/8H/rP+a/4j/d/9m/1b/R/84/yf/Ff8C/vD+3/7O/r7+sP6m/p/+m/6Y/pP+jf6H/oT+gv6B/n/+ff59/oH+h/6P/pn+pv65/tL+7v8I/xv/J/8q/yj/Iv8X/wj++f7s/uT+4P7f/t/+4f7o/vf/C/8h/zD/N/83/zT/M/82/z7/SP9V/2P/cv+B/5H/ov+4/9H/7QAKACUAPwBbAHsAngDCAOMBAAEbATgBWwGCAawB0gH1AhUCMwJTAnQCmALAAu0DHwNRA38DpwPJA+oECwQuBFIEdASVBLkE4AUMBTkFZAWIBagFxQXgBf0GGQY0Bk8GagaIBqsG0Ab3Bx4HQQdiB4EHoAe/B90H+AgTCC0ISwhpCIgIowi5CM8I5wkECSUJRQlhCXkJkAmsCcwJ7AoHChsKKgo7ClEKagqCCpMKngqkCqwKtQq8CrsKsgqkCpkKlgqeCq0KvwrQCtwK5ArlCuAK1grICrgKpQqOCnIKUQouCg4J9wnoCeAJ3AnWCc0JwQmzCaUJmQmRCYkJgAl0CWYJWAlMCUEJNgkpCRoJCwkACPoI9QjyCPAI7gjuCPYI8QjoCN0I1QjRCM8IywjCCLYIrQitCLQIuwi7CLQIrQiuCLoIzgjhCPMJBQkcCTkJUwlmCXEJfgmXCbsJ2wnlCdMJtQmpCcMKBApSCo8KpgqdCocKeApzCnIKaApWCkQKQQpRCm4KjQqmCrcKxQrVCukLAQsYCywLPQtKC1ULYwt3C5ELrgvIC9oL5gvwDAAMFwwyDEoMWgxlDG0MeAyFDJEMmgydDJ8MoQyjDKQMpQyoDK8MuAzADMIMvwy8DL4MxwzWDOQM7wz1DPwNBg0SDRwNIg0oDS8NPA1ODWUNgg2pDdoOEQ5GDnMOmg7GDwIPUA+fD9oP8g/tD+IP7xAiEHEQwhD7ERMRFREWESgRTBF1EZERlhGGEXARXxFYEVMRSBEzERsRDBEKERAREBD9EN0QvRCwEL4Q3RD7EQoRCxEKERIRJRE3ETsRKxELEOcQyhC8EL4QzxDsEQ8RLhE/EUIRPxFEEVkRexGgEbsRyRHQEdcR4BHkEd0RxRGjEYARYxFPEUMRPxFEEVMRZxF6EYURiBGGEYERexFxEWERThE9ETMRMRExES8RJxEeERYRDxEHEPkQ5RDNELYQoxCTEIIQbhBXED4QJRAMD/MP2w/ED6wPkQ9xD0sPJA7/Dt8OxA6rDpAOcQ5QDjQOIA4YDhsOIA4hDhQN+A3TDa4NlA2JDZANpg3MDgEOQg6LDs8PAw8hDysPKQ8lDyYPKw8yDzcPNg8uDx4PCA7vDtcOwQ6rDo8Oag4+Dg0N3A2pDXINNgz6DMcMowyLDHUMWgw2DA8L7gvVC8ILrQuTC3cLXQtICzMLFwr0Cs0KrAqTCoIKcQpbCkAKJAoLCfEJ0gmtCYYJYwlJCTUJHwkCCN4ItwiVCHcIWwg7CBYH8AfLB6gHhwdlB0EHHAb5BtcGtgaTBm4GSgYoBgcF5gXCBZwFdgVRBS0FCATgBLYEiwRgBDgEEgPsA8UDnQN1A0sDIwL8AtcCtAKRAmkCPgIPAeEBtgGPAWsBSAEmAQMA4gDBAJ8AfABWADAACf/j/7v/kv9o/z3/FP7r/sL+lf5n/jn+D/3s/cz9q/2H/V39MP0F/N/8vfyd/Hn8T/wj+/n70/uz+5X7c/tM+yL6+frV+rX6mPp5+lb6MPoL+ej5yPmq+Y35b/lR+TL5Ffj4+N34wvin+I34dPhb+EL4KPgO9/T33PfF97H3nPeG9233U/c89yr3HfcT9wf29vbi9s32uvat9qX2oPac9pT2ivZ+9nL2aPZf9lj2UfZK9kT2QPY89jn2NPYu9ib2H/YZ9hb2FvYZ9h72I/Yo9ir2K/Yt9i/2NPY69j72QPZB9kP2SvZU9l/2Z/Zs9m72cfZ19n32hvaT9qH2sfbB9tD23fbo9vX3BPcV9yj3OfdI91b3Zfd194b3l/en97j3yffb9+33//gR+CX4OfhO+GH4cfiA+JD4ofiz+Mb42fjr+P35D/ki+TX5R/lV+Vz5VvlG+S/5G/kS+Rj5Kvk9+Uv5UflU+Vn5Zfl0+X/5g/mE+Yn5l/mu+cL5zfnK+cH5uvnB+dX58/oS+jH6UPpy+pr6wvrl+v/7D/sX+xj7Efr/+t76s/qG+mP6UfpO+lP6VvpT+kv6Qvo/+kb6VPpm+nb6gfqE+oL6fPp3+nb6e/qE+o/6mfqi+q36vvrX+vH7BPsM+wr7BvsK+xf7Kfs4+0D7SPtd+4X7vPvw/BP8I/ws/EL8bfyj/NP87fzz/PT8/v0P/RT89/y2/GX8Kfwg/FH8pv0D/Vb9n/3s/kf+rP8K/0z/a/9r/1n/Qf8p/xL+/P7n/tP+wP6s/pn+hv53/m3+af5p/mr+bf5w/nP+dv53/nj+ef57/n3+f/5+/nz+ev56/nv+e/56/nr+fP5//oP+g/5//nv+f/6N/qH+s/63/qn+jv5t/kz+Jv3z/az9UPzr/JD8TPwm/Bj8FfwS/Ab78/vd+8j7uPut+6P7mvuS+4v7h/uF+4P7gft8+3f7cvtt+2j7YftY+0/7R/tB+z37Ofsx+yX7GPsM+wT7APr++vz69/ry+uz66Prm+uT64fre+tn61PrQ+s/60PrV+tz65Pru+vb6+/r/+v/6/vr7+vb67/rm+tz61PrQ+s/6zvrN+sv6x/rG+sj6zvrX+uD65vro+uj65vrn+uv68vr7+wP7C/sS+xj7HPsc+xn7EfsJ+wL7APsA+wD6/vr6+vX68vrw+u365vrc+tP6zfrL+sv6yfrE+rv6rvqe+ov6d/pn+mH6ZPpu+nX6dPpo+lb6R/o8+jb6L/ol+hn6DvoI+gX6Afn6+fD55/ng+dz52PnQ+cX5uPms+aP5nPmV+Y/5iPmB+Xr5dPlt+Wf5Yflb+VX5T/lM+U/5Vvlh+Wn5bflu+XL5e/mK+Zj5ofmh+Z35mvme+an5t/nD+c752Pnm+fX6BPoP+hT6FfoW+hr6Ifoo+i/6Nvo/+kz6Xfpv+oD6jfqX+p76pfqv+r36zvrf+u/6/PsG+w37Ffse+yn7NftD+0/7W/tl+3D7e/uH+5X7pPuy+737xfvJ+8z7zvvS+9b72vve++L75vvs+/H79fv5+/v7/vwC/Aj8DvwU/Bn8HPwf/CP8J/wr/DD8Nfw7/ED8RvxL/FD8VPxX/Fn8WPxV/FH8TvxM/E38TvxO/Ez8SPxC/D38OPwz/C/8LPwq/Cv8Lvwx/DP8NPw2/Dn8P/xI/FD8VPxU/FH8T/xQ/Fb8Xfxl/Gv8b/xz/Hn8gvyN/Jr8p/yy/L38x/zT/OH88Pz9/Qf9DP0N/Q/9Fv0k/Tj9UP1m/XX9fP19/Xv9e/19/YL9if2S/Z39q/27/cz93P3r/fn+Cf4a/i7+Q/5W/mj+ev6O/qX+v/7a/vX/EP8r/0b/X/91/4b/lP+h/67/u//H/9D/2P/h/+v/9wAFABYAKAA7AE8AYQByAIQAmACwAMkA4QD3AQwBJAE/AVsBdAGHAZUBogG0AcoB4gH5Ag4CIwI5AlECawKGAqACvALXAu4C/wMMAxgDIwMnAxsC/wLmAvEDPQPLBHkFEgVuBZAFoAXTBkAG1gdjB7sH0wfBB6UHkgd/B1oHGAbFBnkGSwZABkkGUwZRBj4GHgX0Bb8FgQU+BQAEzgStBJwElwSaBJ4EnwSaBI0EgAR5BHwEhASLBIgEfQRwBGkEagRuBG4EZgReBF0EZwR4BIMEfARjBEAEGwP4A9EDoQNnAykC8wLJAqkCiAJeAisB9wHJAaQBhgFlAT0BDgDdAK8AhgBfADsAGf/8/+P/z/+8/6j/lP+C/3L/ZP9W/0T/MP8b/wf+9f7m/tr+0v7M/sn+xv7B/rn+r/6n/qD+nP6Y/pT+kf6R/pT+mv6i/qz+uP7L/uT/Av8f/zf/SP9R/1P/UP9I/zz/Lv8i/xv/GP8a/x3/I/8u/z3/UP9i/27/c/9x/23/a/9u/3b/gv+Q/5//r//A/9H/5P/5ABIALQBJAGQAfQCYALMAzwDrAQQBHAE1AVMBdwGeAcYB7AIOAi4CTgJuAo8CsgLaAwYDNwNpA5cDwAPjBAQEJQRGBGgEiQSpBMoE7gUXBUQFcAWZBb0F3AX3BhAGKAY/BlcGcAaMBq0G0Ab2BxoHOwdaB3cHlQezB9AH6wgDCBwINwhXCHcIlgiwCMcI3wj9CR8JQQleCXYJiwmjCb8J3Qn4Cg0KHwovCkEKVApkCm0Kcgp4CoQKlAqjCqsKqQqjCp8KpAq0CswK5gr8CwoLDgsICvkK5QrOCrcKnQqBCmAKPwojCg8KBAoACf0J+AnvCeIJ1AnGCbgJqwmeCZAJgQlwCV8JUQlGCTwJMgkmCRkJDgkHCQQJAgkACP0I+gj4CQkJBAj8CPEI6AjiCN0I1gjKCL0ItAi0CLoIwQjCCL4IuwjBCNAI5Aj2CQMJEAkjCTkJTQlXCVoJYgl7CaYJ0wnrCeMJxwmzCcAJ9Ao8CnoKlgqRCnsKaQpiCmEKWgpOCkEKPwpPCm0KjwquCsUK1wroCvkLDAsgCzMLRgtXC2cLdguGC5gLqwu8C8oL1gvkC/sMGQw6DFcMbAx4DIEMigyUDJ4MpAynDKcMpQykDKIMogynDLEMwAzODNgM2wzZDNcM2gzhDOoM9A0ADQ0NHA0oDTANNg07DUUNVQ1qDYQNpA3QDgUOPw50DqAOxg71DzQPfQ++D98P3A/DD7gP2BAnEI4Q6BEZER0RCxEAEQ4RMhFaEXMRdBFhEUkRNhEsEScRIREXEQsQ/xDzEOUQ1BC/EK8QqxC3EM0Q5RD3EQERCBESESERLxE1ETARIhEREQEQ8xDnEN8Q4hDyEQwRJBEvES0RJxErEUARYhGFEZ4RrBG1EcARzBHREckRsxGXEX8RbxFlEV4RWBFXEV8RbxGAEYgRhRF7EXERaRFjEVoRTRE+ETIRLBEqESoRKBEkER4RFxEMEP0Q6BDSEL0QqxCcEIsQdxBfEEQQKRAPD/cP4Q/MD7UPmw97D1cPMg8QDvIO2g7CDqoOjg5yDlkORw49DjoOOA4zDiYODw3yDdMNuQ2oDaYNtw3gDh4ObA69DwIPMQ9KD1IPUw9VD1oPYg9pD28PcQ9tD18PRg8oDwoO8A7bDsMOog52DkIOCQ3NDY4NTQ0PDNsMtgyfDIwMdQxXDDUMFgv+C+kL0Qu0C5MLdQtcC0ULKwsLCugKyQqyCp8KjAp1ClsKQAomCg0J7gnKCaUJgwlpCVUJPwkiCP8I2gi2CJYIdAhQCCgIAQfdB70Hngd9B1gHMwcQBu8GzgarBoYGYAY9Bh0F/QXcBbgFkgVuBUoFJgT+BNMEpgR7BFIELQQHA+ADuAOOA2UDPgMYAvMCzgKoAoACVgIsAgEB2AGxAYwBaQFIASkBCQDoAMQAngB3AFIALQAI/+H/t/+N/2L/Of8Q/uT+tv6H/lr+NP4U/ff91/2w/YP9VP0n/QH83/y//Jv8cvxI/CH7/vve+777mvtx+0X7HPr4+tr6vfqe+nv6Vvoy+hH58/nY+br5m/l6+Vr5Pfki+Qn47vjS+LX4mviA+Gn4Ufg4+B74Bfft99f3wfer95P3fPdn91b3SPc89y33HPcJ9vf25/ba9tD2x/a99rH2pPaX9oz2hPZ99nb2bvZm9l72WPZV9lP2UPZK9kH2OPYy9i72LvYw9jT2OfY89j72P/Y+9j72QfZF9kv2T/ZS9lT2V/Zf9mr2dfZ99oH2gvaE9on2lPai9rP2w/bS9t/27Pb59wf3Fvcl9zT3Q/dR92H3cPd/9473nfeu98H31Pfl9/X4BPgV+Cf4O/hQ+GL4c/iE+JX4p/i5+Mn42Pjo+Pn5DPkf+TL5RPlS+Vr5V/lH+S75FvkH+Qn5Gfku+T75R/lL+VL5Xvlt+Xf5efl5+X35jfml+bz5yPnF+bj5rvmw+cD52vn4+hX6MfpQ+nP6lvq1+s363vrq+vH68frn+tH6r/qI+mT6S/o/+jv6Ovo4+jX6Mvoz+jv6R/pU+l76Yvpf+lf6TfpG+kX6SvpV+mD6avpz+n76j/qm+r760frY+tf61PrY+uX69/sI+xb7KvtK+3r7sPvd+/b8APwL/Cb8VfyI/K/8v/zC/Mf82Pzo/N/8q/xV+//70/vo/DX8m/z6/Uj9jv3d/jz+m/7m/wz/D/78/uL+yv6y/pn+gP5t/mH+XP5U/kb+MP4c/hD+EP4X/iD+Jf4m/ib+KP4s/jD+M/41/jf+OP45/jr+Of42/jH+Kv4k/iT+Kv42/kP+Sv5L/kn+TP5b/nT+jf6a/pb+g/5n/kj+Iv3r/Zv9M/zC/Fz8Evvn+9T7y/vA+677lvuB+3L7aPth+1n7TvtD+zr7Nfs1+zX7Mvsp+x77FPsN+wv7CvsI+wP6/Pr2+vH67vrp+uL62PrP+sf6xPrC+sH6wPq8+rn6t/q1+rT6sfqt+qj6pfqi+qH6oPqi+qX6q/qz+rr6wfrG+sv6z/rS+tH6y/rB+rX6qvqh+pz6mPqW+pT6lPqW+pj6mvqc+p76oPqi+qT6p/qr+rH6vPrI+tL62frd+uD65vrs+vD67/rp+uL63frd+t763vrc+tf60frN+sf6vvq0+qr6pfqm+qz6s/q3+rX6sfqp+p/6k/qH+n76evp4+nX6avpX+kD6LPoe+hf6E/oN+gX5/fn3+fX59Pnv+eb53PnS+cv5xfm/+bb5q/mf+ZX5jvmJ+Yb5g/l/+Xn5cflo+V/5WflS+Uz5RvlD+UP5SPlQ+VX5V/lW+Vn5Yvlw+X/5ivmN+Y35jvmU+Z/5q/m2+cD5zPnb+e35/voK+hH6FPoX+hv6Ifom+ir6MPo4+kX6Vfpm+nf6hfqS+p76qvq4+sj62vrs+vz7CPsR+xj7Hvsm+zD7O/tF+077Vvtd+2X7bvt6+4j7mPuo+7b7wfvI+8370vvX+9775fvq++778vv3+/38BPwK/A38D/wR/BT8Gfwe/CL8JPwl/Cb8Kfwt/DH8Nvw7/D/8RfxL/FH8VfxY/Fn8V/xT/E78SfxH/Ef8SPxK/En8RvxB/Dz8Nvww/Cr8JPwh/CL8Jfwq/C78MPww/DL8N/w//Ef8S/xM/Ev8SvxM/FH8WPxe/GL8Zfxo/G38dPx9/If8kvyd/Kj8tPzA/M382/zp/PT8/f0C/Qb9Df0Z/Sr9Pf1Q/V39ZP1m/Wb9Z/1o/Wv9cf16/Yf9mf2s/b79zv3d/ez9/v4T/ij+PP5O/l7+cP6F/p3+uf7U/vD/C/8n/0D/V/9r/3r/h/+S/5z/pf+t/7X/v//K/9f/5P/0AAUAGgAwAEUAVwBnAHYAigCiALwA0wDmAPgBDAElAUEBWQFsAXsBiwGfAbcBzgHiAfQCBgIfAjwCWwJ2Ao8CpgK+AtQC5gLyAvcC+ALzAuYC1gLUAvoDXgP7BLAFSAWfBbQFrQW8Bf4GagbbBywHUgdbB1wHXAdRByoG5AaRBk0GLQYtBjoGPgYvBhIF8AXMBaMFbQUqBOQEpwSABHAEcwSABI0EkwSPBIUEewR2BHkEggSIBIcEfQRwBGkEaARqBGgEYARWBFMEWwRnBG8EZwRQBDAEEAP1A9kDtgOHA1ADHALvAsgCoQJzAj8CCwHeAbsBnwGDAWMBPQEUAOsAwgCaAHQAUQA0AB0ACf/1/9//yP+w/5z/iv93/2T/T/86/yj/Gf8N/wX+//76/vf+8/7s/uL+1/7N/sT+vv65/rX+sv6y/rX+uv7B/sn+1/7q/wP/IP88/1L/Yv9s/3H/c/9x/2v/Yv9Z/1T/U/9Y/2H/bP95/4f/lf+h/6j/qv+q/6r/rf+z/7z/x//T/+H/8QADABUAKAA8AFIAaQCCAJwAtgDQAOoBAQEXAS0BRAFgAYABpAHLAfACFAI3AlkCfAKeAr8C4QMFAy0DWQOFA68D1AP1BBQENARXBHoEnAS9BNwE/gUjBU0FeQWlBcsF6wYDBhcGKgY/BlcGcwaRBrIG1Ab3BxkHOAdVB3EHjweuB84H7AgGCB4INwhUCHMIkQiqCMAI1AjtCQsJKwlLCWYJfgmUCasJwgnYCesJ/AoNCh8KMAo8CkQKSwpWCmcKfgqVCqcKsQq2CrwKxgrVCugK+gsJCxELEAsFCvEK2Aq9CqUKjwp5CmMKTgo8CjEKKgokChoKDAn5CecJ1QnFCbcJqAmaCYwJfglxCWQJWQlPCUYJPQkzCSoJIwkeCR0JGwkYCRQJDwkMCRwJFQkLCP0I8QjnCOEI2wjUCMsIxQjECMcIzAjPCNEI1wjkCPUJBwkTCRwJJwk5CU8JYQlpCWoJdAmVCcwKBAokChsJ8wnJCbsJ1goLCj0KVApNCjkKKQopCjQKPgpACj8KQwpUCnMKmAq7CtcK6gr4CwILDAsbCy8LRwtgC3YLhwuTC5wLpQuwC7wLywveC/kMGgw+DGAMeQyJDJIMmAyeDKQMqQysDK4MrQysDKoMqgyuDLcMxgzXDOYM8Qz3DPkM+Az1DPUM+g0GDRgNLA07DUQNSA1QDWANdw2SDawNyA3rDhkOTw6IDr0O8Q8oD2QPnA+/D78Pow+GD4oPwxAqEJwQ8BEQEQMQ5xDaEOkRDBEwEUQRQxE1ESMRExEGEPsQ8xDvEPAQ7xDpENkQwxCvEKcQsBDDENkQ6xD4EQQRFREqETsRQRE5ESkRGxEUERIRDREAEO8Q5hDsEQERGBEmEScRIhEkETQRUBFsEYIRjxGaEaYRsxG4EbARnRGIEXkRcxFxEW0RZxFkEWoReRGLEZcRmRGREYgRgBF5EXERZBFVEUYRPRE4ETYRMhErESERFhEIEPgQ5hDTEMIQshCjEJEQfBBiEEYQKhAQD/gP4w/OD7cPnA9+D10PPQ8gDwYO7w7ZDsMOrQ6YDocOeA5rDl4OTw4/Di4OGw4IDfMN3w3PDcsN2w4EDkMOkA7bDxcPPQ9SD2APbQ99D4sPlg+bD50PnQ+XD4gPbg9NDysPEA76DuIOvg6NDlAODw3RDZQNWw0lDPYM0Qy3DKEMigxuDFAMNgwhDA4L9wvZC7cLlQt4C14LRQspCwsK7wrXCsIKrQqVCnoKXgpECioKDAnpCcQJogmFCWwJUwk2CRYI9AjTCLIIjghmCDwIEwfwB9AHsQePB2sHRwcmBwgG6gbJBqMGfAZXBjYGFgX1BdEFqwWFBWAFPAUWBO4ExASaBHEESQQiA/kDzwOmA34DWQM1AxAC6gLCApkCcAJIAh8B9wHQAaoBhgFmAUgBKQEIAOQAvgCXAHEATAAm//3/0/+o/33/U/8o/vz+zv6i/nr+WP45/hv9+P3P/aL9dP1J/SP9APzd/Lf8j/xo/EP8IfwA+977ufuQ+2f7Qfsg+wH64/rC+p/6evpY+jr6H/oF+ej5x/mk+YH5YvlG+S35E/j2+Nf4uvih+Ir4dfhf+Ef4L/gY+AH36/fU9733p/eT94L3dPdl91X3Qvcw9x/3EfcF9vn27fbe9s/2v/ax9qb2nvaY9pH2ifaA9nj2c/Zx9nL2cfZr9mL2WPZP9kn2R/ZH9kf2SPZK9kv2TPZM9kz2TvZT9lv2Y/Zo9mv2bPZv9nf2gfaM9pP2l/aY9pz2pfay9sL20Pbc9uj29fcE9xX3Jfcz90H3Tvdd9233fPeL95n3pve298j32/fs9/v4CfgY+Cn4O/hO+GD4cfiE+Jj4rPi++M742/jo+Pf5B/kX+Sf5NvlF+VD5UvlG+S/5E/kB+P75C/kg+TL5PPlD+Uz5Wvlq+XX5efl3+Xv5ifmh+bn5xfnB+bL5ovme+an5wPnb+fT6DPoi+jv6Vfpu+oX6mPqn+rP6uvq6+rL6oPqI+mz6Ufo6+ir6IPoc+h36Ivop+jD6Nvo6+jv6Ovo1+i/6J/oh+iD6JPou+jn6Q/pM+lT6Yfpy+oX6lvqh+qb6rPq2+sf62/ru+wD7Fvs1+1/7i/uw+8n73Pv1/Bv8SPxx/Ir8lfye/K/8xPzG/J78R/vd+5D7h/vM/EH8u/0b/V79m/3k/jv+jP6+/sf+s/6W/n/+b/5g/kn+MP4b/hD+DP4D/fD91/3D/b39yP3Y/eX95/3k/eH95P3t/fb9+v36/fj9+f38/f79/f31/ej92f3P/c391v3n/fn+BP4H/gT+Bf4R/in+RP5V/lb+Sf4z/hb98P22/WD88fx6/BD7xfub+4j7fftu+1j7P/sr+yD7HPsY+xD7BPr2+uv65frk+uT64PrW+sj6u/qz+rH6s/q1+rP6rvqp+qT6ovqg+pv6lPqN+oj6hfqF+ob6hvqF+oX6hfqE+oL6ffp4+nX6dfp2+nj6ePp4+nn6e/p/+oT6iPqL+pD6lvqd+qH6ofqb+pD6hPp4+m36ZPpe+l36X/pj+mX6Yvpd+ln6Wfpe+mX6bPpy+nr6hPqP+pr6ovqm+qn6r/q4+sH6xfrE+r/6u/q6+rz6v/rA+r76u/q2+q/6pPqV+of6fvp8+oD6h/qO+pT6m/ql+q76s/qx+qb6lvqD+m76WfpC+iz6G/oQ+gr6B/oC+fr58fnr+ef55Png+df5zPnB+bj5svmt+af5n/mV+Yv5g/l9+Xv5evl4+XT5bvlm+V/5WflV+U/5SPlC+UD5QflF+Uj5SflI+Ur5UPlb+Wf5b/lz+XT5ePmA+Yv5l/mh+av5tvnF+dX55vn0+f/6CPoR+hv6I/op+iz6MPo3+kL6Ufpg+m/6fvqN+p36rvrA+tH64/rz+wP7D/sZ+yH7Kfsy+z37SPtS+1n7X/tk+2r7cft6+4P7jvua+6b7sPu4+7/7xfvN+9b74Pvo++778/v6/AP8DfwW/Bz8IPwi/Cb8Kvwu/DD8L/wu/C38Lvwx/DX8N/w6/D78Q/xK/FH8VvxY/Fj8VfxR/Ez8SPxE/EP8QvxB/ED8Pfw5/DX8Mfws/Cf8Ifwd/Bz8Hvwi/CX8KPwp/Cv8Lvwz/Df8O/w8/D78QfxG/Ez8UvxV/Ff8WPxb/GD8Zfxs/HL8evyE/I/8nfyr/Ln8yPzY/Of88/z8/QT9C/0W/ST9M/1B/Uz9U/1W/Vj9Wv1b/V39Y/1t/X39kf2l/bj9x/3U/eP99f4J/h7+Mf5C/lP+Zv58/pX+sP7L/ub/Af8b/zP/SP9Z/2j/df9//4j/jv+U/5z/p/+2/8b/1v/n//oAEQAqAEEAUwBhAHAAhACcALUAyQDYAOUA9wEPASsBRAFYAWcBdwGMAaQBuwHNAd4B8gINAi4CTgJnAnoCjAKiArsC0ALaAtcCywK9ArECsgLOAxUDlARBBPcFiQXVBdwFwgW0BdEGFAZhBpwGvAbMBt8G9QcBBu8GvAZ4Bj4GIQYdBh4GEgXyBcoFpQWIBWoFQAUGBMMEiARlBFwEZwR6BIkEjgSJBH4EcwRuBHAEeAR/BIAEegRyBGwEawRsBGkEYQRXBFEEVARdBGMEXwRMBDEEFQP9A+cDzQOpA30DTAMdAvECxQKWAmYCOAIQAfEB1wG8AZwBdwFQASgBAQDaALMAjwBvAFYAQAAsABb//f/k/8z/tf+h/4z/ef9p/1z/Uv9L/0T/PP80/yz/I/8Z/w7/Af72/uz+5f7h/uD+3/7g/uH+4/7n/u/+/f8S/y3/SP9f/3D/e/+B/4b/i/+P/5H/kf+P/4//k/+c/6n/uf/H/9P/2//g/+L/4//m/+v/8//8AAYAEAAbACkAOQBMAGAAcwCGAJcAqgC+ANQA7QEHAR8BNgFMAWMBfQGbAb0B4AIDAiUCRwJqAowCrgLNAuoDCAMoA00DdgOfA8UD5gQDBB8EPQRdBIEEpQTIBOkFCQUrBU8FeAWiBckF6QYBBhQGJQY7BlYGdgaXBrgG2Ab4BxgHNgdTB24HiweqB8sH6wgHCCEIOAhRCGsIhgidCK8IwAjTCOsJCQkqCUoJZwl/CZQJpgm2CccJ2AnrCf4KEAogCi4KPgpRCmgKgQqYCqwKuwrICtQK4ArqCvEK+Ar+CwILAgr5CugK0Aq3CqEKkAqCCnQKaApdClIKRwo4CiMKCwnzCd4JzQm9Ca4JoAmTCYsJhgmBCXsJcwlpCV8JVQlNCUUJPwk7CTgJNQkwCSoJJQkgCSYJIAkWCQoI/Qj0CO8I7QjrCOgI5AjgCOAI4wjpCPEI/QkMCRwJKQkzCT8JUQloCX4JigmKCYgJkwm4CfQKLQpGCjEJ+Am9CaIJsgneCgkKGQoOCfkJ7wn8ChkKOApMClYKXgpwCo8KtgrdCvsLDAsSCxILEgsaCywLRgtlC34LjwuYC50LowutC7wLzQviC/sMGgw+DGEMfwySDJwMoAyiDKYMqwyxDLYMuQy6DLoMugy+DMQMzQzaDOsM/Q0ODRkNGg0SDQcNBA0NDSINOg1LDVQNWQ1lDX8Now3FDd4N7w4ADh4OTw6ODtUPGQ9WD4cPow+kD4sPaQ9cD3wP0BBAEKcQ4hDoEMsQrhCoEL0Q4BD+EQsRCxEFEP4Q9hDrEN0Q0hDPENYQ3xDfENEQvBCqEKYQsxDIEN0Q6xD2EQYRHhE4EUsRThFCETERKBEoESwRKBEXEP8Q7hDuEQARGBEqES4RKhEpETMRRhFbEWwReBGDEZARnBGhEZwRjhF/EXYRdRF3EXcRcxFwEXQRgBGQEZwRoBGaEZARhRF7EXARZBFYEU8RSRFFEUEROhEuER8RDhD+EO4Q4BDSEMUQtxCnEJUQfRBjEEYQKhAQD/gP4g/MD7MPmA98D2APRw8vDxkPAw7sDtYOww63Dq8OqA6dDosOcw5YDj4OKg4dDhMODA4IDg0OIA5FDnoOtQ7pDxAPKQ8/D1gPeA+aD7UPww/FD8EPvA+1D6cPjw9vD04PMA8UDvQOxQ6HDkEN/A3CDZMNaw1FDSAM/gzgDMUMqQyLDG0MUgw9DCwMGAv/C+ALvwugC4QLagtOCzMLGAsBCusK1Qq8CqAKggplCkcKKAoGCeIJvwmfCYEJYwlDCSMJAwjkCMUIogh7CFIIKggGB+QHxAehB3wHWQc6Bx4HAgbiBr4GlwZxBk4GLQYLBeYFvwWXBXAFTAUnBQME3AS1BIwEZAQ6BBAD5gO9A5cDdANRAy4DCQLhArgCjgJmAj4CFgHvAckBpQGDAWMBQwEiAP8A2wC1AJAAagBDABr/7//E/5j/a/8//xL+5/7A/p3+fv5e/jv+FP3p/b39lP1v/Uv9Jvz//Nf8sPyK/Gf8RPwh+/z71vux+477bPtM+yz7C/rn+sL6nfp8+mD6Rvou+hL58fnN+an5iPlr+VD5NfkY+Pn43fjD+Kz4l/iC+Gv4Vfg/+Cn4FPf89+T3zfe696r3m/eL93n3ZPdQ90D3M/co9x33D/b/9u723fbP9sP2u/a09q32pvad9pb2kvaR9pL2kfaL9oD2c/Zp9mL2X/Zd9lv2WPZX9lj2W/Zd9l72YPZl9m32d/Z/9oL2gvaB9oT2jPaY9qL2qfas9rD2t/bC9s/22/bl9u/2+/cK9xz3Lvc+9033W/dr93z3jPeb96j3tPfC99L34/fz+AH4D/ge+C/4P/hP+F34bfh/+JT4qvi9+M342/jp+Pj5BvkT+R/5K/k5+Ub5TflF+TD5E/j++Pj5A/kY+Sv5N/k++Uj5WPls+Xv5gvmB+YL5jPmf+bX5wvm/+a/5nPmS+Zb5p/m++dP54vnu+fn6B/oZ+i36Q/pW+mf6dPp++of6jPqL+oH6bPpQ+jH6F/oI+gX6C/oU+hr6GfoV+g76CvoJ+gr6CvoJ+gj6C/oS+hz6Jvot+jL6N/pB+k76Xvpt+nr6ifqb+rH6yPre+vH7Bfsd+zv7XPt9+537vfvg/Af8KvxE/FT8Zfx+/J/8tPyf/FP73/tx+0D7aPvc/G385/0z/V79iv3L/h7+Z/6L/oH+Xf44/iH+F/4N/fv95P3Q/cT9vf2w/Zr9g/13/X39kv2o/bL9r/2n/aT9rP27/cf9yv3H/cT9xf3K/c/9y/2+/ar9lv2I/Yb9jv2e/a39tP2y/av9qP2w/cT93P3t/fD95v3T/bn9lP1a/QT8lfwf+7n7cftK+zn7Lvsd+wX67PrY+s36yPrE+r36svqm+pv6lvqU+pP6j/qG+nn6bPpi+l76Xfpd+lz6WvpY+lj6WPpY+lb6UvpM+kn6SfpK+kz6TPpN+k76T/pP+kz6R/pC+j/6QfpG+kr6TPpN+k76UfpV+lj6WfpX+lb6WPpc+mL6Z/po+mX6XvpT+kb6N/or+iT6I/om+if6Jfog+h36Hvol+i76Nfo5+j36RfpQ+l/6a/pz+nj6ffqE+oz6kfqT+pH6kPqR+pX6mvqf+qH6o/qi+p36kvqE+nP6Zvpd+lj6VfpU+lf6Yvp3+pH6p/qw+qj6kfp0+lf6P/or+h36EvoL+gb6Afn7+fL56Pnf+dn50vnL+cH5tfmp+aD5mvmX+ZT5kPmK+YL5evl0+XD5b/lt+Wv5Z/lk+WL5Yflf+Vz5VflN+Ub5Q/lC+UP5Q/lD+UP5R/lN+VT5Wvld+V/5Y/lr+XT5ffmF+Y75mfmn+bb5xfnT+eH58PoA+hD6HPol+in6Lfo0+kD6Tfpb+mn6d/qG+pj6rPq/+tH64vrz+wT7E/sg+yr7NPs++0n7U/td+2b7bft0+3v7gPuF+4j7jPuS+5n7ofuo+677tfu9+8f70vvc++T76/vz+/38CPwT/Bz8Ivwo/C78M/w3/Dj8N/w1/DT8Nvw5/Dz8Pfw+/ED8RPxL/FL8VvxX/FX8U/xQ/E38SvxH/EL8Pfw5/Db8Mvwv/Cz8Kvwm/CL8Hvwa/Bf8FvwX/Bn8Gvwb/B38H/wh/CP8Jfwo/C38NPw8/EP8R/xI/Ef8SPxM/FH8V/xc/GD8Zfxt/Hj8hfyU/KT8tfzH/Nn86fz3/QL9Df0Z/Sb9NP0//Un9T/1U/Vf9Wf1a/Vz9YP1q/Xr9jf2h/bH9vf3I/dX95v36/g3+IP4y/kX+Wf5w/oj+of66/tT+7/8J/yD/NP9E/1T/Yv9v/3j/fv+D/4v/l/+n/7n/yv/b/+8ABwAhADoATQBdAGwAfwCWAK0AvgDKANUA5wEAARwBNgFIAVYBZgF8AZUBrQHAAdIB6AIEAiUCQgJXAmYCdgKNAqgCvQLDArcCnwKIAn4CjQLAAyMDugR1BTEFwgYKBgoF5wXMBdcGBQY5BlkGYAZhBm8Gkga2BsQGrgZ7BkMGGwYFBfQF2QWwBYMFXQVCBSoFCATYBKMEdwRjBGcEeQSMBJcElQSKBHsEbQRlBGQEaQRwBHYEeQR4BHcEeAR5BHcEbgRiBFcEVARYBF0EXARRBDsEIwQNA/sD6APPA60DgwNWAygC/ALSAqoChwJqAlACNQIWAfEBxwGcAXIBSQEfAPIAxQCbAHgAWgBCAC0AGAAE//D/3v/M/7v/q/+f/5f/kf+N/4f/fv90/2j/XP9Q/0P/Nv8o/x3/Fv8T/xP/Ff8W/xb/Ff8W/xz/Kv8//1n/cv+G/5P/m/+e/6P/qv+z/73/xf/N/9X/3//s//sACwAYACEAJQAlACUAJQApADAAOQBDAE0AWABlAHMAhQCXAKsAvQDPAN8A8AECARYBLAFDAVoBcQGJAaQBwQHhAgECIAI9AloCdwKVArECywLhAvYDDQMrA1EDfAOoA9ED9AQSBC0ERwRjBIIEpATIBOoFCgUnBUQFZAWIBa4F0QXuBgUGGwYzBlEGcgaTBrIGzwbuBw4HLgdMB2cHgAeZB7UH1AfyCA4IJwg+CFUIbAiDCJgIqwi/CNcI9AkUCTUJUwlsCYAJkQmhCbIJxQnZCe0KAAoUCikKQQpbCnUKiwqcCqgKtQrCCtAK3ArkCugK7ArxCvgK/gr8CvEK3grICrMKoQqRCoIKcwplClcKRwoyChkKAAnpCdgJywnACbMJpwmeCZkJmQmZCZYJjQmBCXUJawljCVwJVwlSCU4JSAlCCToJMgksCS0JKQkkCR0JFAkMCQcJBQkECQII/wj8CP0JAgkMCRkJJwkzCT4JSglZCW4JhwmdCakJowmRCYIJiwmyCesKGgohCfkJtQl6CWgJhgm/CfEKBAn7CeoJ6goDCi8KWQp0Cn8KhQqTCrAK1wr+CxsLKQsqCyMLHgsiCzELSgtmC38LjwuZC58LqQu3C8kL2wvuDAMMHgxADGUMhAyaDKUMpwypDK0MtQy+DMUMyAzJDMwM0AzWDNoM3gzkDPENBw0hDTYNPA0yDSENGA0gDTYNUA1iDWgNbQ1+DaIN0g39DhYOHA4eDi4OWg6fDvAPOw9xD4wPjA93D1sPTQ9iD6MQBhBtELUQzBC3EJEQeRB+EJsQvBDRENgQ1xDWENkQ2xDVEMoQwhDDEM0Q1xDWEMcQsBCgEKAQsRDKEOAQ7hD6EQoRIBE4EUoRThFIEUERQRFIEU0RSBE0ERoRBREAEQsRHBEpES0RKxErETMRQxFWEWURcRF7EYcRkRGXEZQRixGAEXkReBF7EX8RgBGBEYURjBGVEZoRmxGUEYoRfhFyEWgRXhFXEVIRTxFLEUUROhErERoRCBD3EOgQ2xDQEMUQuBCpEJQQfBBgEEMQJxAND/YP4A/JD7EPlw99D2UPUA89DykPEQ73Dt4OzA7FDsYOyQ7IDrsOog6BDmEOSQ46DjUONw5ADk8OZg6FDqkOyg7iDvQPBA8dD0UPeA+rD9AP4Q/hD9oP0g/MD8MPsQ+XD3cPVg8yDwUOyQ6ADjMN7w2+DZ4Nhg1tDVANMQ0SDPYM2gy7DJkMeQxeDEkMNwwjDAoL7AvOC68LkQt0C1cLOwskCw8K+grjCscKqAqGCmQKQQoeCfwJ2gm6CZoJeglXCTQJEQjxCNEIsAiMCGYIQAgcB/kH2Ae1B5IHbwdOBzAHEgbyBs8GqwaGBmMGQQYeBfoF0gWpBYIFXAU4BRQE8ATKBKMEegRRBCgEAAPaA7UDkQNuA0sDJgL/AtYCrAKDAlwCNgISAe0ByQGkAYABXAE6ARcA9QDRAK0AhwBhADkAEP/k/7j/if9a/y7/Bv7j/sT+pf6D/lv+L/4C/dn9tP2S/W/9Sf0h/Pn80/yw/I78avxE/B77+fvX+7f7mft4+1X7MPsK+uX6wvqi+oX6a/pR+jb6Fvn0+dL5sfmT+Xf5W/k++SD5BPjr+NT4vfim+I74dvhh+E34OPgh+An38vfe9833vves95j3gfdt9133UfdI9z73MPcf9w72/fbu9uL22fbR9sr2xPa99rf2tPay9rH2rPaj9pX2h/Z89nb2dfZ19nP2cPZs9mv2bfZv9nH2cvZ19nv2hfaO9pP2k/aQ9pD2lvag9qv2s/a49r32xPbP9tz26fbz9vv3BfcU9yX3N/dJ91j3Z/d394j3mfeo97T3wffO99z36/f5+Af4FPgj+DP4Q/hR+F34avh7+I74ofiz+MT40/jl+Pf5CPkV+R/5KPk0+UH5SPlC+Sz5D/j4+PH4/fkU+Sn5Nvk9+Ub5Vvls+X/5ivmK+Yf5i/mZ+az5uvm6+av5lvmE+YD5ifma+ar5s/m2+bf5vPnJ+d759voN+h/6LvpA+lf6c/qN+pr6kvp0+kf6Gfn4+er56/ny+ff59Pnr+eP54fnl+ez58vn1+fX59/n7+gP6C/oQ+hH6EfoV+iD6MPpC+lX6afp++pX6rvrH+t368vsJ+yP7Qfti+4T7pvvH++L79vwE/BX8Mvxd/IX8kPxm/Ab7kftA+z77lvwl/K/9Bv0l/Sz9RP2E/dv+Jv5G/jX+CP3c/cL9tv2s/Z39iv17/XT9b/1k/VL9Qv1B/VH9a/1//YT9ev1w/XD9fv2Q/Z39nv2Z/ZX9mf2i/aj9o/2R/Xf9Xv1N/Ub9Sf1R/Vb9Vf1L/T/9OP09/U39Y/1z/Xb9bf1c/UX9I/zt/J38OPvM+277LPsG+vP64/rN+rL6l/qC+nT6bPpl+l76VvpP+kr6SPpG+kP6P/o4+i76I/oa+hL6DfoK+gn6CfoL+g76E/oW+hb6E/oQ+g76D/oR+hL6EvoS+hT6F/oZ+hj6FPoO+gv6DPoQ+hX6GPoa+h76Jfos+jL6Mfor+iP6Hfob+h76JPoq+i76Lvoq+iD6EPn/+fL56/np+er56vno+ej57Pnz+fn5/Pn8+fz6AfoN+h/6Mfo++kb6SvpO+lP6WPpd+l/6Yvpm+mv6cvp5+n76g/qG+ob6gfp3+mv6XfpR+kP6NPol+hv6Hfot+kf6YPpu+mz6W/pE+i/6IfoZ+hT6DvoG+fv58Pnl+dz51fnP+cn5wvm4+a35oPmU+Yr5gvl9+Xn5d/l1+XP5cPlt+Wr5Z/lk+WH5X/le+WD5ZPln+Wf5Y/lc+VL5SvlF+UP5QvlA+UD5QflE+Un5TflR+VT5WPlc+WH5Zflr+XL5ffmL+Zr5qfm2+cP50vnl+fj6CfoV+h36JPos+jj6RvpU+mH6bvp++pD6pPq3+sr62/ru+wH7FPsk+zL7PvtH+1H7W/tk+277d/uA+4j7j/uT+5T7lfuW+5r7oPum+6z7svu5+8H7y/vT+9v74vvp+/H7+/wE/A38Fvwe/Cf8L/w1/Df8Nvw1/Df8O/xA/ET8RfxF/Eb8SfxO/FP8VvxW/FP8UfxP/E78S/xH/EH8Ovw0/DD8Lfwr/Cj8Jfwi/B78G/wY/BX8EvwQ/A78DPwL/Ar8C/wN/A78EfwV/Bz8JPwt/DP8Nvw3/Df8Ovw//Eb8TPxR/FT8WPxe/Gf8c/yA/I/8oPyz/Mf82vzr/Pv9Cv0Z/Sj9Nv1C/Uv9Uv1Y/V39Yf1i/WL9ZP1q/Xb9hv2V/aL9rP22/cP90/3m/fn+C/4e/jP+Sf5f/nb+jP6j/r3+2P7z/wr/HP8s/zz/Tv9e/2v/dP96/4L/jv+d/63/u//L/93/9QAQACoAPwBQAGEAdQCLAKAAsAC7AMgA2wD2ARIBKgE6AUYBVgFuAYoBpQG8AdAB5gICAiECOgJMAlgCaAJ/ApgCqQKmApECcwJbAlQCagKnAxMDsgR1BTgFzwYaBhwF+QXiBfMGJQZYBmwGXAY/BjcGUQaCBqkGqgaDBkYGCwXfBb4FnQV3BU0FKQUNBPUE1wSyBI0EdQRwBHwEjwScBJwEkgSCBHIEZQRcBFcEWQRgBGoEcwR7BIEEhQSIBIYEfwRxBGIEWARVBFcEWARSBEIELwQcBA0EAAPwA9gDtgOPA2cDQgMhAwUC7QLWAr4CoQJ+AlUCJwH5AcwBnwFuATkA/wDGAJAAZABBACcAFQAH//z/8v/n/9r/zv/C/7n/tf+y/6//q/+k/5z/k/+J/37/cf9k/1j/T/9M/0z/Tv9Q/1D/T/9Q/1b/Yv90/4n/nv+w/77/x//O/9b/3//r//kACAAXACUAMgA+AEkAUgBZAF4AYABgAGIAZABnAGsAcQB6AIYAlQCnALkAygDYAOYA9AEDARUBKQE/AVQBagF+AZEBpgG+AdoB+gIbAjoCVAJqAn8CkgKmArgCxwLTAuEC9AMQAzUDYgOTA8QD8QQaBDsEVQRsBIMEngS/BOEFAAUZBS4FRAVhBYQFqgXOBewGCAYkBkIGYwaDBqEGvQbcBv4HIgdDB10HcQeDB5gHswfSB/EIDAgjCDkIUAhqCIUIoQi8CNcI9AkSCS4JSAleCXAJgQmSCaYJugnOCeIJ9AoICiAKOwpYCnIKhAqPCpYKnQqnCrQKwQrMCtUK3grqCvcLAAsCCvsK7QrcCsgKswqcCoMKbApZCkoKOwopChMJ/QnrCd8J2QnTCcsJwQm4CbIJsAmuCacJnAmOCYIJeQlzCW4JaAljCV0JVwlOCUUJOwkyCTYJNQk0CTEJKQkgCRcJEgkQCRAJEQkVCRwJJwk0CUIJTQlVCV4JbAmBCZsJsQm6Ca4JkAlvCV4JbAmZCdAJ8AniCakJXgkrCSoJWwmkCeIKAQoDCf8KCgorClgKfgqSCpQKlAqfCrkK3QsBCxsLKAsqCygLKAsuCzwLUQtoC30LjQuZC6ULswvGC9kL7Av+DBEMKgxLDG8MjwylDK8Msgy1DL0MyAzSDNgM2QzZDN8M6Qz0DPoM+gz6DQMNGQ03DVENWw1TDUENNw0/DVcNcg2CDYUNhw2ZDcIN+A4pDkMORw5EDlIOfg7DDw4PSw9rD20PWw9HD0APVg+PD+UQRBCQELUQrRCJEGUQVxBmEIUQoRCvEK8QrRCuELQQuhC6ELgQuRDCEM4Q1RDNELcQnRCQEJYQrRDMEOcQ+hEHERQRJRE3EUURSxFMEU8RVRFeEWMRXxFOETgRJREbERoRHREfER8RHhEjES8RQhFXEWkRdxGBEYsRkxGYEZcRkRGIEYERfRF/EYURjBGREZURlxGYEZcRlBGPEYgRfxF2EWwRZRFfEVkRUxFLEUARMxEkERURBRD0EOUQ1xDLEL8QshCiEI0QcxBWEDkQHRAFD+8P3A/ID7MPmw+CD2oPVA8/DykPEA70DtsOyw7HDs8O2w7iDt4Oyw6vDo4Ocg5eDlMOUw5bDmoOfw6XDq0OvQ7GDs0O3A77Dy0PbQ+rD9oP8Q/0D+4P5w/jD94P0g++D6MPgg9YDyMO3g6PDkIOAg3XDbwNpw2PDXANTg0xDRoNBQzsDMwMqQyIDG0MWAxEDC4MEwv1C9ULtAuTC3QLVws+CykLFgsBCugKyQqmCoEKWwo3ChUJ9AnVCbcJlwl1CU8JKQkDCOAIvwicCHkIVAgvCA0H7AfMB6wHigdnB0MHIQb/Bt0GvAaZBnYGUgYuBgoF5AW9BZYFcAVLBScFAwTdBLYEjgRnBEIEHgP7A9cDswONA2cDQAMZAvECxwKeAngCVQIzAhIB7gHHAaABeAFTATABDgDrAMcAogB7AFQAKwAA/9P/pP91/0r/JP8E/uf+yP6j/nn+S/4f/ff90/2x/Y39Zv09/Rb88/zS/LL8j/xp/EP8H/v+++D7v/uc+3X7T/sr+wn66vrN+q/6kvp1+lj6OfoY+fj52fm7+Z75gflj+UX5KvkR+Pr44/jK+LD4l/iB+G74W/hF+C74F/gC9/D33vfK97T3nfeL9373dfdt92L3Uvc/9yz3HPcP9wP2+Pbv9ub23/ba9tb20vbP9sr2wva19qb2l/aM9oj2ivaN9o72i/aF9oD2fvZ+9n/2gPaC9ob2jfaV9pv2nfac9pz2oPao9rD2uPa99sL2y/bZ9un29/cD9wv3FPcf9y/3QPdQ91/3bvd894z3nPeq97f3w/fR99/37Pf5+AX4Efgf+C/4P/hN+Fv4afh4+In4mvip+Lf4x/jb+PD5A/kS+Rz5JPku+Tr5QPk6+ST5Bvju+Of49fkO+Sf5Nvk9+UT5Uvlm+Xv5h/mI+YP5gvmM+Z35rfmx+aT5jPl0+WX5ZPlt+Xj5fvl/+X75g/mS+an5xPna+en59foH+ib6UvqA+qH6pvqL+lj6Hfnt+dL5yvnM+dD5zvnI+cP5xfnM+db53Pne+d753/nk+ez58vnz+fD57fnw+fv6Dvoj+jj6Sfpb+m/6hvqh+r362fr3+xb7N/tY+3b7kPuj+7L7vfvN++b8Dfw6/Ff8UPwZ+8P7dftd+5P8CPyM/Of9Avzr/NL84/0n/Yb90/3v/dn9q/2A/Wb9Wf1O/T/9Lv0l/SX9J/0j/Rn9Ef0X/Sv9Rf1X/Vj9Tv1F/Un9WP1q/XP9cf1r/Wj9b/15/X/9d/1i/UP9Jf0M/Pz89Pzw/O385/zc/M/8yPzL/Nn87Pz6/P388/zh/Mj8p/x2/DH72vt++y368frK+rH6mfp++mH6Rfov+h76EfoF+fz59fnz+fP59Pny+e/56/nm+eD52vnT+c35x/nF+cT5xvnK+c/51fnZ+dv52fnX+dX51PnU+dP50/nT+df53fnj+ef55fnh+d352/nb+d754Pnk+er59Pn++gb6B/oA+fX56vnj+eL55Pnp+e/59Pn2+fL56PnZ+cr5wPm7+br5uvm7+bv5vPm++cH5wfnA+cD5xfnQ+eH58voA+gj6DvoU+hv6JPos+jP6OPo++kT6S/pR+lj6X/pl+mn6a/pp+mP6W/pQ+kD6K/oT+f357/nu+ff6A/oM+g36CPoC+gD6BPoK+g36CPn5+eT5z/m/+bb5tPm1+bX5sfmq+aD5lfmJ+X75cvln+V75WPlY+Vv5YPlk+WX5ZPli+V75W/lY+Vj5W/lf+WH5Yflc+VX5TflI+UT5QflA+T75Pvk++UD5Q/lH+Uv5T/lT+Vb5WPlb+WH5a/l5+Yf5lPme+aj5tfnG+dr57fn9+gn6FPof+iz6O/pJ+lf6Zfp0+ob6mfqs+r760Pri+vb7C/sf+y/7PftJ+1P7Xvto+3L7e/uF+4/7mPue+6P7pfuo+6z7sfu3+737w/vI+8771Pva+9/75Pvo++z78vv5/AD8CPwS/Bz8Jfws/C/8MPwx/DP8OfxA/EX8SfxK/Ev8TfxR/FT8VvxU/FH8TvxM/Er8R/xD/Dz8Nvwy/C/8Lfwr/Cj8JPwf/Bv8GfwY/Bb8FPwR/Az8BvwC+//7/vv//AH8BPwJ/A78FPwa/B/8Ivwm/Cz8M/w7/EP8SfxN/FH8Vfxa/GH8avx0/IH8kfyj/Lf8y/zd/O/9Av0V/Sb9Nf1B/Ur9Uv1b/WP9aP1p/Wj9Zv1o/XD9e/2G/ZH9mv2k/bH9wP3S/eP99P4H/hz+M/5J/l/+df6M/qf+w/7d/vL/A/8R/yH/NP9I/1n/Zv9w/3n/hP+R/57/qv+3/8n/4P/6ABQAKgA+AFEAZwB+AJMAowCvAL0A0QDsAQYBGwEpATYBSQFjAYIBngG2AcsB4wH/AhsCMgJCAk4CXQJxAoMCiAJ8AmECRgI1AjgCUgKKAu0DgwRCBQgFpAX1BfsF3QXSBfkGSAaVBrQGmAZeBjEGMAZWBoIGkAZwBi4F5gWrBYIFYgVCBR8E/gTkBM4EtwSfBIkEfAR9BIcEkASQBIUEdQRmBFwEVgRRBE0ESwRPBFkEZgRzBHwEgwSIBIkEhgR8BG4EYQRaBFgEWQRVBEoEOwQrBB4EFAQJA/gD3wPBA6MDiQN0A2EDTgM4Ax0C/QLYAq8ChAJYAiwB/gHMAZMBUwEPAMoAjABYADEAFgAE//n/8P/n/9z/0P/D/7r/tf+1/7b/t/+2/7T/sP+s/6b/nv+U/4n/gP98/3v/fv+B/4X/iv+Q/5n/pv+0/8P/0//j//IAAQAQABwAKQA1AEMAUwBiAG8AeAB9AH0AewB4AHcAeAB8AIAAhQCIAIkAjACTAKIAuADQAOcA9gEAAQUBDQEaAS4BSAFjAX0BkQGhAa4BuwHNAecCBwIqAkoCYwJ2AoMCjgKYAqICrAK1AsIC0wLrAwoDMQNhA5gD1AQOBEAEYwR5BIoEngS6BNsE+gUSBSMFMwVJBWgFjwW2BdkF+AYVBjUGWAZ7BpsGugbaBv0HIQdDB14HcAd+B44HpgfDB+MH/wgWCCsIQghcCHsInAi8CNsI9gkQCScJPAlOCV0JbQl/CZIJpwm7Cc4J4Qn1CgwKJwpDCloKawp2Cn4KhQqNCpgKowqvCr0KzQrdCuoK8QrxCusK4grXCsoKtgqbCn0KYwpQCkYKPwo0CiMKDwn9CfMJ7wnsCeYJ3AnSCckJwwm9CbQJqAmcCZIJjAmHCYEJeQlxCWoJYwlaCVAJRQk7CUgJRglFCUAJNwkrCSEJHQkeCSUJLgk5CUUJUQlcCWQJaQlvCXgJiAmeCbEJuQmuCZEJbQlUCVcJeQmxCeIJ8AnPCYgJOwkMCRAJQwmLCcoJ8AoBCgwKIQpCCmQKewqBCn0KfgqNCqsKzwrvCwYLEwsbCyQLLws9C0wLXQtuC4ALkQugC7ALwQvUC+gL+wwODCMMPQxcDH0MmgytDLcMuwzCDM0M2gzlDOoM6wztDPUNAw0SDRoNGg0YDR8NNA1TDW0NeA1wDWANWQ1kDX0Nlw2kDaMNog2yDdkODQ48DlgOYQ5oDn8Org7sDyMPQw9FDzMPIQ8gDzsPcw+/EBMQWhCFEI0QdxBXEEAQPxBREGsQfxCIEIkQihCOEJYQnBCgEKUQsBDAEM0QzhC9EKAQhhB9EIsQqRDOEO4RBREWESQRMhFAEUoRURFVEVoRYRFnEWoRZxFfEVMRRhE6ES4RIxEZERIREhEaESoRPxFXEWwRfhGKEZMRmBGcEZ0RmxGWEZARixGLEY4RlBGZEZoRlxGREY0RihGIEYYRgRF5EXERahFjEVwRURFEETYRKBEbEQ4RABDwEN4QzhC/ELIQpBCTEH0QYxBGECoQEA/5D+YP1g/GD7QPnQ+DD2cPSw8wDxYO/A7kDtAOxg7HDtIO3w7oDucO2g7GDq4Olw6DDnMOag5oDm0OeQ6KDpoOpg6sDrEOvg7dDxEPVQ+aD9MP9xAGEAcQAg/8D/QP6Q/ZD8QPpw+AD0oPBA60DmgOKg3/DeANxA2hDXgNUA0yDR8NEg0DDOwMzQysDI8MdwxiDEsMMQwSC/IL0QuxC5ILdQtbC0ULMQscCwMK5QrDCp4KeQpUCjAKDAnrCcwJrgmNCWkJQgkbCPYI0wiyCI8IawhFCCEIAAfiB8QHowd/B1kHMwcQBvAG0QavBooGYgY7BhUF8QXMBacFggVdBTgFFATuBMcEngR4BFUENQQWA/UD0QOpA4EDWQMxAwoC4gK6ApUCcgJSAjECDQHmAb0BlQFvAUsBKAEFAOAAuQCRAGkAPwAT/+b/uP+M/2T/QP8g/wH+4P66/pH+Zv49/hb98v3P/an9gf1Z/TP9Efzy/NL8sPyL/Gj8Rfwl/AT74Pu4+5D7a/tL+y/7FPr5+tv6vPqc+nv6W/o7+hv5/Pne+cH5ovmC+WP5SPkw+Rr5BPjr+ND4tvif+Iz4evhn+FL4O/gl+BH3/Pfm98/3u/es96P3nPeT94X3cfdb90n3PPcx9yb3GvcN9wH2+fb09vD27Pbm9t721PbI9rn2q/ah9pz2nvai9qT2ofaZ9pH2ivaI9on2jPaQ9pP2l/ac9qD2o/ak9qb2qvaw9rb2vPbA9sf20fbf9vD2//cK9xL3Gvck9zH3QPdQ9173bPd694n3l/el97H3vffK99f35ffx9/v4BvgT+CL4M/hD+FP4Y/hz+IP4k/if+Kz4uvjM+OH49fkD+Q75F/ki+S75Nfkw+Rv4/vjl+N346vkF+SD5Mvk7+UH5TPle+XL5fvmA+Xr5d/l++Y35nvmk+Zr5gvll+U/5RflG+Uv5TvlP+VL5XPlx+Yz5p/m6+cT5yvnX+fb6Jvpc+of6lfqC+lT6Gvnn+cX5tfmx+bH5sfmw+bH5tvm9+cL5xfnD+cP5xvnO+df53Pnb+dX50PnT+eD59PoJ+hz6Kfo0+kL6Vvpx+pL6t/rc+wH7I/tA+1b7Zfty+3/7kvut+9D79vwS/Bb7+/vK+5n7i/u0/BL8gvzW/O38yfyO/HD8jPze/T79gv2S/Xb9S/0o/Rf9D/0E/PL84fzZ/Nz84vzk/N/83fzm/Pz9F/0q/S/9Kv0m/Sv9N/1C/UX9P/03/TX9Ov1D/UX9O/0k/QT84Py+/KD8i/yA/Hv8efx1/G/8avxs/HX8g/yM/Ij8ePxe/D/8Gvvs+7H7avsg+t76q/qG+mz6U/o7+iL6C/n1+d/5yPmx+Z/5lvmU+Zb5mPmY+ZX5k/mS+ZH5kPmM+Yn5hvmH+Yn5jfmR+Zb5mvme+aD5n/md+Zn5lvmT+ZH5kPmS+Zj5ofmr+bP5tvm0+bD5rPmq+av5rfmw+bX5vvnH+c750PnM+cP5uvm0+bD5r/mw+bH5tfm4+br5t/mw+ab5n/ma+Zr5mfmX+ZP5jvmL+Yr5i/mO+ZL5mPmg+ar5s/m8+cT5zPnX+eX58/n/+gn6EPoW+hz6Ivoo+i/6N/o/+kj6TvpT+lP6UPpJ+j36LPoW+f355vnU+cf5wPm8+bv5vfnE+dH54vny+fr59vnk+cr5rvmY+Y75jfmS+Zf5l/mT+Y35h/mA+Xj5a/lc+Uz5Qfk8+T/5RvlP+Vf5XPlf+V/5XPlW+VD5TPlJ+Un5SflJ+Uf5RPlC+UH5QflA+T/5Pfk6+Tn5OPk6+T35QvlI+U35UflV+Vv5ZPlu+Xr5g/mK+ZH5mvmp+bv5z/ni+fL6APoN+hz6LPo7+kr6Wfpp+nv6jvqg+rH6wvrS+uT69/sJ+xv7K/s6+0n7V/tl+3D7e/uG+5H7nPun+7D7uPu++8T7yvvQ+9b73Pvh++b76vvu+/D78/v1+/f7+vv9/AL8CPwP/Bn8Ivwp/Cz8Lfwt/C78Mvw5/D/8RfxI/Ev8TfxQ/FP8VPxT/E/8TPxI/EX8Qvw+/Dn8NPwv/Cz8Kvwn/CP8HvwZ/BX8E/wT/BT8E/wS/A78CfwE/AD7/vv++//8AfwD/AX8B/wJ/A38FPwd/Cj8M/w+/Eb8S/xP/FP8WPxe/GT8a/x0/ID8j/yg/LH8w/zT/OX8+f0N/SD9MP08/Ub9UP1b/Wb9bP1t/Wr9Zv1m/Wv9c/18/YX9jv2X/aP9sf3A/c/93v3v/gT+Gv4x/kj+Xv53/pL+rv7I/tz+6v73/wX/F/8t/0H/Uv9g/2z/d/+D/47/mf+o/7r/0v/rAAMAGAAsAEEAWABxAIYAlQCiALEAxQDdAPUBCQEYASkBPwFbAXkBkgGoAb0B1QHyAg4CJAIzAj8CTgJfAmkCYwJNAjECHAIZAicCRAJ0AsYDSwP/BMIFYgW2Bb8FpwWqBewGYQbVBwwG8AacBkYGGwYlBkUGVAY5BfsFsgV1BUoFKgULBOkEygSzBKYEnQSUBIoEgwSBBIIEfwRzBGEETwREBEIERgRHBEYEQwRFBE0EWgRnBHIEeQSABIUEiASHBIAEeARxBG4EbQRqBGIEVQRGBDkELwQlBBYEAwPtA9kDyQO8A64DmwOBA2EDPwMcAvcC0AKoAn8CVQIpAfcBvgF9ATUA7QCqAHAAQQAeAAT/8P/h/9T/yP++/7n/t/+6/73/wP/A/7//vP+6/7f/tP+u/6j/ov+f/6D/o/+o/6//uP/E/9T/5P/0AAIADwAeADAARABYAGwAfACJAJYAogCsALMAswCuAKMAlgCLAIQAggCEAIcAiQCJAIYAhQCMAJwAtgDUAO4BAQEKAQ8BFQEhATYBUgFvAYoBngGqAbABtQG+AdEB7AIOAi8CTAJgAm0CdwKAAosCmAKoArkCywLdAvEDCgMvA2UDrAP5BEAEcwSRBKIEsQTJBOkFDAUnBToFSAVbBXcFmwXBBeMGAQYeBkAGZgaOBrMG1Qb1BxUHNgdWB3EHhQeUB6QHtwfQB+oIAggXCCoIPghXCHQIkwixCM0I5wj+CRQJJwk4CUgJWAloCXoJjQmiCbcJzQnlCf0KFgotCkEKUQpfCmsKdgp/CoYKjAqVCqMKswrCCssKzArHCsAKvAq7CrYKqAqQCnUKYApWClUKVwpSCkMKLQoZCg0KBwoCCfwJ8QnlCdsJ1AnNCcYJvQm1Ca4JqAmhCZgJjQmCCXgJcQlqCWAJVglNCWMJXglZCVEJRwk9CTcJOQlCCVAJXglqCXMJeAl5CXgJdwl7CYUJlQmkCaoJowmPCXcJaglyCZUJyQn8ChgKDQnbCZIJTgkmCScJSgl9Ca4J1AnvCggKIgo8Ck0KUgpQClEKXgp8CqMKyQrlCvgLBgsUCyYLOgtMC1wLawt7C40LoQu1C8YL1gvmC/gMDAwhDDgMUgxuDIkMoAywDLoMwQzKDNcM5gzzDPwNAQ0HDRENHw0sDTMNNA01DUANVg1yDYgNjw2GDXgNdQ2DDZwNtA2/Db8Nvw3ODe8OGQ4/DlkOag6BDqYO2Q8JDyQPIQ8KDvIO8A8ND0gPkg/cEBYQOhBGED4QLBAcEBcQHhAuED8QShBSEFkQZBBwEHwQhRCNEJgQqhC9EMcQwRCrEI0QeRB3EIwQrxDUEPURDhEiETMRQxFQEVoRYRFmEWoRbRFuEW0RaxFqEWcRYRFWEUQRMBEfERURFREdESsRPxFXEW4RgxGSEZoRnhGhEaQRpxGpEagRpRGhEZ8RnRGaEZQRixGDEX4RfRF9EXwRdxFvEWYRYBFcEVURSxE8ESwRHREPEQMQ9RDkENIQwBCxEKQQlhCEEG0QUxA4EB0QBQ/wD94Pzw/AD60Plg94D1gPNg8WDvkO4A7NDsEOvw7FDs8O1g7WDs4Owg62Dq4Oqw6qDqcOow6fDp4Oow6tDrgOvQ68DrcOtw7HDu4PKg9yD7gP7xAREB4QGxAREAIP8w/kD9QPvw+dD2kPJA7VDooOTA4fDf0N2w2yDYMNVQ0yDRwNEA0EDPIM2Qy+DKUMjwx6DGMMRwwpDAkL6wvPC7MLmAt/C2gLUQs4CxwK/AraCrgKlgpyCkwKJAn9CdgJtwmXCXYJUgktCQgI5wjHCKcIhAheCDkIFgf2B9gHuAeTB2wHRgckBwUG5gbDBpwGcQZHBh8F+gXVBbAFigVlBUIFHwT6BNMEqgSCBF8EQQQlBAYD4wO8A5QDbANHAyIC/QLYArICjgJrAkgCIwH8AdUBrgGJAWYBQgEdAPYAzwCnAH4AUgAm//n/zv+m/4D/Xf86/xb+8f7K/qP+ff5X/jP+EP3t/cj9ov18/Vf9NP0S/PD8zvyr/Ir8afxH/CP7/fvU+637ivts+1L7OPsc+v763vq++p36fPpb+jv6G/n++eD5wvmi+YL5ZvlN+Tj5IvkJ+O740/i7+Kf4lfiD+G/4WfhE+C74GPgC9+v32PfL98P3vPew9573h/dy92P3W/dV90z3Pfct9x/3FvcR9w33Bvb89vD25fba9tD2xfa79rP2sfay9rP2sPao9p72lvaS9pX2mvag9qP2pfak9qT2pfan9qv2sPa39r32wvbI9s/22fbl9vL2/vcH9w73Ffcf9yz3OvdI91b3ZPdy94L3kfed96n3s/e+98v32Pfl9/H3/PgJ+Bj4KPg4+Ej4WPho+Hj4hviT+J/4rfi9+ND44vjw+Pz5BvkT+SH5Kvko+Rb4+vjg+Nb43/j4+RT5Kfk0+Tv5RflV+Wf5dPl2+XH5bflw+Xz5i/mS+Yv5d/ld+UX5N/kx+S/5Lfkt+TL5QPlY+XX5j/mf+aT5pfmv+cn58voi+kn6W/pR+jL6Cfng+cL5rvmk+aD5n/mh+ab5q/mu+a75qfmm+ab5rfm5+cT5yvnI+cH5vPm++cr53Pnv+f36BvoN+hn6LPpI+mr6kfq3+tr69/sO+x77LPs8+1P7c/uZ+7z71PvX+8b7p/uP+5L7wfwW/Hj8wfzT/Kn8X/wk/B/8Wvy7/RX9Rf1B/Rz89fzf/Nr82PzN/Lf8oPyV/Jb8nPyg/J78nvyo/L/83Pz1/QL9BP0D/QT9B/0J/Qb8/vz2/PP88/z1/PH85vzR/LT8j/xn/ED8I/wU/BP8Gvwg/CD8G/wX/Bf8GfwV/Ab76vvF+577dvtM+xv65Pqs+nn6U/o5+ir6H/oX+g75//no+cf5nflz+VH5Pfk3+Tn5O/k8+T35P/lD+Uf5SflI+UX5RPlH+U35UvlW+Vn5XPlf+WL5Y/lf+Vr5VflS+VD5UflU+Vv5ZPlu+Xj5fvl/+X35evl5+Xr5e/l9+YD5g/mI+Yz5jvmN+Yj5hPmB+YD5f/l++X35fPl9+X75fvl8+Xn5d/l4+Xv5ffl6+XP5aflh+Vz5Xvlk+Wz5c/l4+Xv5fPl/+YX5jvmc+az5vPnK+dX53vnl+e359fn9+gT6DfoW+iD6Kfox+jX6Nfox+ir6IfoU+gT57/nX+b/5qvmb+ZP5kvmY+aT5s/nD+c750PnH+bT5nPmH+Xn5dPl1+XX5c/lu+Wr5aPlp+Wj5Y/lX+Uj5OPkt+Sn5Kvkw+Tn5QvlM+VX5WPlV+U35Qvk4+TL5L/kv+TH5M/k2+Tn5PPk9+Tz5Ovk3+TL5L/ks+Sz5MPk3+UD5SflQ+Vf5Xvlm+W75dvl8+YL5ifmV+aT5t/nJ+dv56/n6+gr6G/os+jz6S/pb+m36f/qS+qT6tPrE+tL64frw+wD7D/sg+zH7Q/tV+2T7cvt/+4v7mPum+7T7wPvL+9P72/vh++j77vv0+/r7//wD/Af8CfwL/A38D/wR/BP8Ffwa/CH8KPwv/DL8Mvwv/C38Lfwx/Db8PPxB/ET8R/xL/E78UPxP/E38SPxE/ED8Pvw7/Df8M/wt/Cf8Ifwb/Bb8EfwN/Aj8BfwE/AT8BfwG/Af8CPwH/AX8A/wC/AH8AfwC/AL8AvwD/Ab8DvwZ/Cf8NPw//Eb8S/xP/FT8Wvxh/Gj8b/x5/IX8k/yj/LH8v/zM/Nv87f0C/RX9Jf0y/T39Sv1X/WL9af1q/Wb9Y/1j/Wf9b/13/X39hP2M/Zf9pP2x/b79y/3b/e7+BP4a/jD+Rf5e/nn+lv6w/sX+1P7h/u7+//8U/yn/PP9M/1r/Zv9y/37/jP+d/7P/zP/k//gACgAbAC8ARwBfAHQAhQCTAKMAuADPAOYA+QELASABOQFVAW8BhAGVAaoBxQHjAf8CEgIfAisCPAJNAlUCSwIwAhICAgIIAh8CPgJoAq4DJwPSBJEFMAWFBY8FegWIBeEGdQcHB1IHOAbPBlUGBAXuBf4GCgX2BcMFggVKBSAE/QTYBLAEjQR4BHQEegR/BH4EegR1BHEEaQRbBEgENwQvBDEEOQRABEIEQQREBE0EWwRrBHgEgQSJBJIEmwShBKIEngSZBJYEkwSQBIoEfwRyBGUEWARMBDwEKwQZBAoD/wP1A+cD0gO2A5UDdANSAy8DCgLjArsClgJyAk0CIQHsAa0BZgEeANgAmQBkADgAFv/9/+7/5v/j/+X/6f/u//D/7//q/+T/3v/a/9j/1//V/9P/0v/T/9X/2P/a/93/4v/s//wAEAAlADgASgBcAHAAiACiALwA0wDmAPUBAAEGAQYBAAD1AOYA1QDFALcAqgCgAJYAjACDAHsAdwB7AIkAoQC+ANoA8gEEAREBHwEvAUQBXAF2AY4BogGxAbkBvgHEAdAB5AH+Ah0COgJTAmcCeQKLAp8CtgLQAukC/QMKAxEDGQMvA1wDoQP2BEkEigSyBMcE1wTtBQ4FMgVTBWoFfAWPBakFyQXsBgwGJwZDBmQGiwa0BtwG/gcbBzcHUwdwB4sHoge0B8MH0gfiB/MIBAgUCCQIOAhPCGgIggibCLMIygjhCPgJDwkkCTcJSAlYCWkJewmQCakJxAngCfoKEAoiCjAKPgpNCl0KagpyCnUKdwp8CoYKlAqhCqYKowqdCpgKmQqdCp8KlwqHCnQKaApnCm8KdQpyCmIKSwo2CicKHwoZChEKBQn5CfAJ6wnoCeMJ3QnVCc4Jxwm+CbIJpQmYCY4JhgmACXkJcQlpCYQJfQl1CW0JZQlgCWIJagl2CYEJigmPCY4JigmCCXsJeQl+CYoJlwmeCZkJiQl6CXkJjgm4CewKFwoqCh4J9Qm/CYoJYwlSCVQJZgmBCaAJwgnmCggKJAo0CjcKMgouCjcKUgp7CqYKywrjCvMLAQsUCysLRAtZC2kLeQuMC6MLvAvTC+UL8wwBDBEMJQw6DFAMZgx7DJAMowy0DMEMzAzWDOIM8Q0ADQ8NHA0nDTANOQ0/DUINRQ1ODWANeA2QDZ8Nnw2VDYoNiw2ZDbANxA3RDdcN4A3zDg4OLA5FDlgOcA6UDsQO9A8QDw0O7w7MDr4O1g8SD2EPrQ/kD/8QAw/5D+wP4w/jD+oP9hACEAoQDxAVECEQMxBIEFsQahB5EIsQohC2EL8QuBCkEI8QhBCNEKcQyRDrEQgRHxE0EUYRVRFhEWoRchF4EX0RfRF6EXURchFyEXMRcRFmEVQRPxEvEScRKBEvETsRSxFfEXYRjBGdEaURqBGoEasRshG4EbwRuxG1Ea0RoxGYEYwRgBF3EXMRcxF0EXERaRFfEVgRVBFSEU8RRhE3ESYRFBEFEPgQ6RDZEMkQuhCtEKAQkRB9EGMQSBAsEBQP/g/qD9gPxw+1D6APhg9nD0UPIg8CDuUOzQ68DrQOtQ68DsIOwA6zDp4Oiw6EDo4OqQ7LDuwPBQ8VDx4PJA8oDycPHA8EDuUOxw64DsMO7Q8uD3oPwQ/2EBQQHRAXEAkP+Q/rD90PyQ+oD3MPLg7gDpcOXQ40DhgN/A3ZDbANhA1eDUENKQ0SDPgM3AzCDK0MmwyJDHMMWAw6DBwMAAvlC8oLsQuZC4MLbQtTCzMLEArsCskKqgqKCmYKPQoQCeYJvwmeCX0JWwk3CRQI8wjVCLgImQh2CFEILAgKB+kHxwejB3wHVgczBxQG9AbQBqgGfgZUBi0GBwXhBbkFkQVqBUcFJQUDBN0EtQSNBGkESgQuBBED7wPJA6IDfANYAzcDFALxAswCpgKAAlkCMwINAekBxQGiAX0BVwEwAQgA4QC6AJIAaAA9ABL/6v/E/6D/e/9U/yv/Af7Z/rP+j/5s/kr+J/4F/eP9wP2e/Xr9Vf0x/Q386vzH/Kb8hPxh/D38F/vx+877rfuQ+3P7Vfs2+xX69frW+rj6mPp4+lj6Ovoe+gL55vnH+aj5i/lw+Vn5Qfko+Qz48fjY+ML4r/ic+Ij4c/hf+Er4Nfgf+An39vfn99v30PfB9633mPeG93z3efd192z3XfdM9z73Nvcz9y73I/cT9wL29Pbr9uX23vbV9sz2xfbB9sD2vfa29qv2ovae9qD2p/au9rL2sfas9qj2pvan9qz2s/a69sL2yvbR9tr24/bt9vb2/fcC9wj3EPcb9yj3NfdC9033Wvdo93j3hveT9533pvex9773zPfc9+r39/gF+BT4I/gy+D/4TPhZ+Gf4dfiD+JH4oPiw+ML40/ji+O/4+/kJ+Rb5H/kd+Q349Pjb+M/41fjr+Qb5HPkq+TL5PflL+Vz5aPlr+Wb5YPlg+Wj5dPl8+Xn5avlU+T/5L/kl+R75GPkV+Rj5Jvk9+Vj5b/l++YT5hvmO+Z/5uvnY+fH5//n++fH53vnJ+bb5pvma+ZT5k/mX+Zv5nPmZ+ZL5ivmG+Yn5k/mg+a35s/my+a75qvms+bb5w/nS+d755/nw+f76E/ov+lD6cvqT+q/6x/ra+uv6/vsX+zX7WPt4+4/7lfuL+3r7cPt++6/7/vxW/Jf8p/x9/C775PvH++78Svy1/QP9HP0F/Nn8tvyo/Kn8qfya/ID8ZvxY/Ff8Xfxh/GH8Yvxs/IL8nvy3/Mf8y/zI/MP8vvy5/LP8rPyk/J78lvyN/IP8dvxl/E/8MPwJ++P7xfu4+7v7x/vP+8z7wPuw+6H7k/uA+2P7PPsP+ub6wfqh+n/6Wfoy+hD5+Pnw+fX6BPoW+iH6HPn/+cz5iflG+RH48vjm+OT45fjn+On48Pj6+QT5CfkI+QX5BPkH+Q75FPkY+Rr5HPkf+SP5JPkh+Rv5FfkT+RT5F/kb+R/5Jfkt+Tb5PflB+UL5QvlC+UT5R/lI+Uj5SPlJ+Ur5S/lK+Uj5RvlG+Un5TflQ+VD5T/lM+Uj5RPlC+UD5QvlH+VD5V/lb+Vf5TflB+Tj5Nfk4+T75RPlJ+Uv5TPlN+VH5WPli+W75e/mI+ZT5ofmu+bv5xvnR+dn54Pno+fL5/PoE+gn6CfoH+gT6Afn++fn57/nf+cr5tPmh+ZP5iPmC+X75f/mG+ZD5m/mi+aH5mPmM+X/5dflt+WT5WflN+UT5QflF+Uv5T/lM+UT5OPkr+SH5GfkV+Rf5H/ks+Tz5SvlQ+U75Rfk5+S/5KPkl+Sb5Kfkt+TD5Mvky+TH5L/ks+Sn5Jvki+R/5IPkm+S/5OflD+Ur5UflY+WH5a/l1+Xz5hPmM+Zj5pvm3+cj52Pnp+fr6DPod+i76PvpO+l76cfqF+pn6q/q8+sr61/rk+vD6/fsL+xr7LPs++0/7YPtv+3z7ivuY+6f7tvvD+8/72vvj++v78vv5/AH8CPwP/BX8Gvwe/CH8I/wk/CX8Jvwo/C38M/w5/Dz8PPw4/DP8L/wt/C/8Mfw0/Db8Ofw8/EH8RPxF/EP8Pvw5/DX8M/wx/C/8Kvwi/Bn8EPwJ/AT8Afv9+/n79Pvv++z77Pvv+/T7+vv+/AD8APwA+//8APwB/AP8BPwE/Ab8C/wU/B/8K/w1/Dz8QvxJ/FD8WPxg/Gf8b/x4/IT8kfyf/Kr8tPy//Mz83Pzu/P/9D/0c/Sr9Ov1J/Vb9Xf1e/Vz9W/1e/WT9a/1x/XX9ef2A/Yr9l/2k/bD9vf3M/d398P4D/hb+Kf5A/lr+d/6T/qv+vf7M/tv+7P7+/xL/Jf82/0X/Uv9f/23/fv+U/67/yP/e/+7/+wAJABwAMwBLAGAAcQCCAJUArADFANsA7wEDARoBNgFRAWgBegGKAZ8BvAHcAfYCBQINAhgCKwJBAk0CRQIqAgsB+gIBAhoCOgJlAqoDHwPHBIEFGwVsBXIFXwVzBdYGdgcTB2MHQwbNBkAF2gW0BbwFyQW9BZMFXQUrBQQE3gSyBIIEWQREBEQEUARcBGAEXARXBFQEUARIBDoELAQkBCcEMAQ6BEEERQRMBFkEbASCBJQEowSuBLoExgTPBNIEzgTIBMEEvQS6BLUErQShBJUEhwR4BGcEVQRDBDQEKAQdBA8D+gPhA8MDpQOFA2IDPAMSAukCxQKlAocCZQI5AgMBwwGAAT0A/gDFAJQAbgBUAEYAQgBFAEsAUQBTAFEASgBAADYALwArACsALAAsAC0ALgAwADIAMQAsACQAHQAeACgAOwBUAG4AhwCeALYA0gDyARUBNgFTAWoBeAF+AXwBdQFrAV0BTAE2ARoA+wDaALsAogCRAIcAhACHAJIAogC4ANEA7AEGASEBOgFRAWYBeQGMAaEBuAHPAeUB9gIFAhECHwIxAkcCYAJ8ApkCtgLVAvQDFQM3A1UDbAN3A3gDdQN6A5UDygQTBGEEowTQBOoE/QUUBTQFWAV6BZUFqgW/BdkF+AYZBjcGUgZsBokGrAbRBvUHFAcvB0gHYgd9B5kHsgfGB9UH4AfpB/EH+wgICBkILQhECFwIcgiHCJwIsQjICOAI+QkQCSUJOQlNCWAJcwmKCaQJwQneCfcKCwoZCiQKLwo9CksKVwpeCmAKYApkCm0KegqECokKiAqFCoYKjAqUCpgKlAqJCn8KewqBCooKjwqJCncKYQpPCkMKPAo2Ci0KIgoYChEKDwoMCgcJ/wn2CewJ5AnbCdEJxAm4Ca0JpQmeCZgJkQmLCaUJnwmXCZEJjQmPCZUJnAmgCaAJnAmVCY0JhwmACX0JfgmHCZQJnwmgCZMJggl6CYkJsQnkCg0KGAn+CcwJlQluCWAJZQlzCX4JhgmPCaIJwwntChcKNgpCCj8KNgoyCjwKVQp4CpsKtwrNCuAK9QsPCy0LSgtjC3gLjQulC8AL3Av0DAYMFQwkDDQMRwxaDGoMeAyGDJYMqQy+DNAM3QznDPEM/g0ODSINNA1CDUkNTA1MDU4NVw1nDX4Nlg2nDa0NqA2fDZsNnw2tDb8Nzw3eDe4OBA4dDjYOSA5TDmAOeg6jDtQO+Q7/DuYOvA6fDqcO2w8sD4IPwg/iD+QP1Q/CD7UPsw+5D8YP1A/fD+UP5w/qD/IQARAVECsQQhBZEHMQjxCnELQQtRCtEKYQqBC5ENQQ8xERESoRQRFUEWQRcBF2EXsRfxGFEYsRjBGIEYIRfBF7EXsReBFuEV4RThFEEUMRSBFREVoRZRF0EYcRmxGqEbERsRGvEa8RsxG4EboRuBGxEacRnBGQEYMReBFxEW4RbRFtEWoRYhFaEVQRURFREU0RQxEzESEREBEBEPQQ5xDYEMoQvRCyEKQQkRB4EFsQPRAiEAoP9g/kD9MPwQ+sD5QPeA9ZDzkPGg79DuIOyg63DqwOqg6tDq4OpA6NDmwOUA5HDlsOiw7ODxUPUw+CD6APrw+xD6QPhQ9UDxgO2w6sDpkOpw7VDxcPYQ+jD9UP9BADEAUP/w/0D+EPxA+YD10PFg7NDo4OYQ5FDjcOKg4YDf4N3g28DZoNdQ1MDSAM9gzTDLgMpQyTDH8MZwxLDC8MEQvzC9QLtwufC4wLewtmC0kLJAr8CtYKtgqYCnkKUwonCfoJ0QmtCYsJaQlFCSAI/QjeCMIIpgiHCGQIPwgbB/gH1QewB4oHZAdABx0G+wbXBrEGigZjBj8GGgXzBckFngV1BU8FLgUMBOkEwwSeBHsEXAQ/BCAD/gPYA7EDjANpA0gDJgMDAt8CuQKSAmsCRQIgAf0B2gG3AZABZwE8ARMA7ADHAKIAfABTACoAA//e/7r/k/9p/z7/E/7r/sb+o/5//lv+N/4V/fX91v21/ZP9b/1L/Sf9BPzh/L38mfx0/E/8LPwL++370fuz+5T7cftN+yn7CPrq+s76sfqT+nX6Wfo++iT6Cfnt+c75sfmV+Xv5YvlH+Sz5Efj5+OP4zvi5+KP4jvh5+Gb4Uvg9+Cf4Eff+9+733/fP9733q/ee95b3kveN94P3c/dj91j3U/dS90z3P/cq9xT3A/b69vf28/bt9uP22vbT9s/2yvbD9rn2r/aq9qv2sfa49rz2u/a29rH2rvau9rH2uPa/9sf20PbZ9uP27Pb09vv3AfcF9wz3FPcg9yz3OPdB90r3U/df92z3eveG95H3m/eo97f3yPfY9+f39fgD+BH4IPgv+Dv4RfhQ+Fz4afh4+If4lvil+Lb4x/jX+Ob48/kA+Qv5EfkN+P345vjQ+Mb4zPjg+Pr5EPke+Sf5MPk9+Uz5WPlc+Vf5UflQ+Vf5Y/ls+Wr5XflI+TL5IfkV+Q35B/kC+QT5Dfkf+Tb5TPld+Wj5b/l2+X/5iPmQ+Zf5m/mf+aH5oPmd+Zb5jvmI+YX5h/mJ+Yr5hfl8+XL5a/lp+W75ePmD+Yz5kvmV+ZX5lvmZ+Z/5qvm2+cT50fng+fL6CPoj+kD6Xfp3+o76o/q4+s/66PsD+xz7MftA+0f7SPtK+1b7c/um++r8Mfxj/Gz8RPv3+6b7ePuI+9X8Rvyv/O389PzS/KX8hfx5/Hj8c/xi/Ej8Mvwn/Cj8L/w1/Db8OPxB/FH8Zfx1/H78ffx2/G38ZPxd/Ff8UfxI/Dv8KfwU/AH78fvj+9P7uvub+3r7YvtY+1z7Y/ti+1X7PPsf+wT66vrM+qb6evpO+ir6EfoA+fD53PnF+bH5p/mu+cf57PoU+jD6MvoP+cv5c/kc+Nn4svih+Jz4mfiX+Jj4oPiv+L/4yfjL+Mn4yfjN+NX43Pjf+OH44vjl+Of46Pjj+N341/jW+Nn43vji+OP45vjr+PL4+/kB+QP5BPkE+Qf5C/kO+RD5D/kP+Q/5D/kN+Qr5CPkI+Qz5Ffke+SX5J/kj+Rz5E/kL+Qb5BfkJ+RP5IPkq+S/5K/ki+Rf5DfkI+Qf5C/kQ+RX5Gvke+SH5JPko+S75NvlC+VD5Yvl1+Yf5lvmj+av5svm4+b/5x/nP+dT51fnU+dL50/nX+dv53PnZ+c/5wvm0+ab5lvmE+XL5Y/lc+WD5bfl9+Yr5kfmR+Yz5hvl9+XH5YPlM+Tr5Lfkp+Sr5Lfkv+S/5LPkm+R75FfkM+Qf5CfkT+SX5OPlI+VD5T/lJ+T/5Nfkv+Sv5Kvkr+Sr5KPkj+R35GfkY+Rn5GfkY+RX5FPkX+R35Jvkv+TX5O/lD+U75XPlp+XT5fPmE+Y35mfmp+br5y/nc+e36APoU+ib6N/pG+lb6aPp8+pH6pvq4+sj61/rk+vD6/PsH+xP7IPsu+z/7T/te+2v7d/uD+4/7nvut+7z7y/vX++D76fvw+/j8APwJ/BH8Gfwf/CT8KPwq/Cv8LPwv/DP8OvxA/EP8Q/w//Dn8M/wu/Cr8KPwm/CT8Jfwo/C38MPwx/C78J/wf/Br8F/wW/BX8EPwJ/AD7+Pvy+/D77/vt++r75fvf+9r71/vZ+9775Pvr++/78fvy+/P79/v7/AD8AvwD/AL8A/wG/A78F/wg/Cn8Mvw8/Eb8UPxZ/GH8aPxv/Hj8gvyN/Jj8o/yw/L38zPza/Of88/0A/RD9Iv00/UL9S/1O/U/9Uv1Y/V/9Zv1p/Wv9bv11/X/9jP2Z/aX9sf2+/c393f3t/fz+Df4h/jn+Vv5y/oz+ov61/sf+2P7p/vz/Dv8e/y3/O/9J/1r/bv+I/6T/vv/S/+D/6//4AAsAIQA4AEwAXQBwAIcAoQC7ANIA5QD5AREBLgFLAWIBdAGGAZ0BuwHaAfEB/AIAAgkCHQI3AkgCRAIrAgwB+gH/AhYCOAJnArMDLQPTBIcFFgVcBVwFRgVbBb0GWwbxBzgHEAaTBgMFnAV5BYQFlgWPBWoFOAULBOYEwgSXBGYEOwQkBCMELgQ4BDkENAQwBDEEMwQyBCoEHwQZBB4EKwQ8BEkEUgRbBGsEggSdBLcEzQTfBO0E+AT/BP8E+QTvBOYE4QTdBNkE0wTIBLsErgSfBI8EfQRqBFgESQQ7BCwEGwQHA+8D1AO2A5MDawNAAxgC9ALVArcClAJoAjUB/AHCAYwBWQEsAQYA5wDTAMoAyADKAMsAygDDALkArACgAJYAkgCTAJYAmwCdAJ4AnQCcAJsAlgCOAIEAdQBwAHYAiACiAMAA3QD5ARYBNwFcAYUBrgHTAe8CAAIHAgYCAAH3AekB1AGzAYYBUQEbAO0AzgC+ALwAwQDJANIA3ADpAPsBEwExAVIBcwGRAagBuAHFAdUB6gIGAicCRwJjAngChwKTAqICtwLSAvQDGQM/A2MDhwOqA8oD5gP3A/sD9wPzA/sEFgREBHwEsgTcBPsFFAUvBU8FcgWTBa0FwgXXBe8GDQYtBksGZgZ/BpkGtAbSBvAHDAcmB0AHWwd4B5QHrQfDB9MH3gfmB+0H9QgCCBMIJwg9CFMIZwh6CI8IpAi6CNAI5Aj5CQ4JJQk9CVcJbwmICaEJuwnVCewJ/woNChkKJAovCjoKQwpJCkwKTwpWCmEKbQp2CnsKfQp/CoYKkAqZCp4KnAqWCpMKlQqcCqIKoQqWCoUKdApoCmEKXApWCk0KQwo8CjkKNwozCiwKIQoVCgsKBAn9CfUJ6wnfCdMJyAm/CbgJsQmrCcYJvgm2CbAJrwm0CbwJvwm7CbAJoQmUCY8JjgmRCZMJmAmhCawJswmwCaEJjgmECY8JrgnRCeEJ0AmgCWYJPQk2CU8JdQmVCaIJoAmfCawJzgn9CisKSwpZClgKUApJCkoKUgpgCnQKjAqoCsgK7AsTCzkLXAt8C5kLtQvQC+kMAQwVDCgMOQxKDFwMbAx4DIAMhwyQDKAMtgzODOQM8wz7DQENCw0bDS8NQw1RDVcNVw1XDV0NbQ2DDZsNrA20DbMNrQ2qDa4NuA3EDdEN3Q3vDgcOJg5FDlkOYA5hDmkOgQ6pDtIO5Q7aDrYOkw6LDrAO+w9VD6EPzg/aD88PvA+sD6MPoA+lD7APwA/QD9oP3g/bD9kP3Q/qD/4QGBA2EFUQdRCSEKcQtBC8EMMQzxDjEP0RGRE1EVARaRF+EYwRkRGREY8RjxGTEZgRmhGXEZIRjRGKEYkRhhF9EXERZxFlEWoRdBF+EYURixGSEZ0RqhGzEbYRsxGuEaoRqRGpEacRoRGYEZARiBGAEXcRbhFmEWERYBFgEV8RXBFYEVQRUhFPEUgRPREtER0RDxEDEPcQ6RDaEMoQuxCsEJwQhxBtEFAQMhAXEAEP7g/eD84PvQ+pD5EPdA9WDzgPHQ8GDu4O1w7ADq0Oow6gDpwOkA52DlEOLg4cDikOWA6fDvAPPg99D6oPww/KD7wPmQ9kDyEO2w6eDncObA5+DqgO4w8lD2QPmw/FD98P6Q/gD8UPmA9dDxkO1Q6ZDm4OVg5PDlEOUg5ODkMOMg4dDgAN2g2pDXENOQ0HDOEMxAyrDJMMewxhDEcMKgwIC+ILvQufC4sLfgtxC1wLOwsRCuYKwQqiCoQKYgo5Cg4J5QnACaAJfwlbCTUJEAjuCM8IsgiUCHEITQgoCAQH4Qe9B5gHcgdMBycHAwbeBroGlQZxBk4GKgYEBdsFsAWHBWAFOwUZBPYE1ASyBJIEdARWBDUEEQPrA8UDoQN9A1sDOAMUAvACzAKmAoECWgI1AhEB7gHJAaEBdgFJAR0A9QDRAK4AigBkAD0AFv/v/8j/oP92/03/Jf8B/t7+u/6W/nD+S/4o/gj96P3J/aj9hv1k/UL9H/z7/NX8rfyG/GL8Qfwl/Ar78PvT+7P7j/tq+0T7IvsD+uf6zPqw+pX6efpe+kP6KPoL+e750Pm0+Zn5f/ll+Uv5Mvkb+QX47/jY+L/4p/iR+H34avhW+D/4KPgS9//38Pfi99T3xve597D3p/ee95H3gvd19233afdn92H3Uvc89yX3FPcK9wf3BfcA9vf27fbl9t722PbQ9sb2vfa39rf2u/bB9sb2x/bE9sH2vva99r72wvbH9s321fbe9uj28fb69wL3CfcP9xb3H/cq9zX3P/dH9033VPdd92j3dfeC9473nPer97z3zffc9+n39Pf/+A34HPgr+Dj4Q/hO+Fv4afh3+IX4kvie+Kv4uvjK+Nn45/j0+P35APj6+Ov41vjE+L34xPjY+PD5BfkS+Rn5Ivku+T35SvlO+Uv5RflF+U35W/ll+WT5Vfk8+SL5D/kD+P74/Pj5+Pj4/PkH+Rj5LPlB+VP5Yflq+Wv5Zvle+VX5UvlV+V35Zvls+W35bflt+XH5dfl3+XP5avlf+Vf5VflY+V35Yvll+Wn5bvl0+Xn5ffmA+YT5jfmb+a35wfnV+ej5/foU+i36R/pe+nP6iPqe+rf60frm+vT6+vr8+wP7F/s9+3T7t/v7/DL8TvxD/BH7wfts+zD7KPtc+8D8MvyP/L38vPyb/HL8VfxG/D78NPwk/BH8A/v//AT8C/wR/BT8F/wd/Cb8Lvwx/C38Jfwb/BP8DfwJ/AT7+vvp+9L7tPuW+3z7Z/tX+0b7L/sS+vX64PrX+tb60/rG+qv6ifpn+kn6LvoP+ev5wvme+YX5efl1+XL5bPlh+Vj5V/lm+Yb5s/nj+gb6Cfnk+Zr5PPjh+Jz4dfhk+Fz4VfhM+Ej4Tvhe+HL4gviL+I74kvia+KT4rPiw+LD4sPix+LP4sfir+KL4m/ia+J74o/im+Kf4qfit+LX4vvjE+MT4wvjB+MP4yfjQ+NT41vjW+NX41fjS+M/4zPjL+ND42/jo+PP4+vj6+PT47Pjh+Nf4z/jL+M341fjh+O348/jz+O745fjd+Nj41vjY+Nz44vjm+On46/jt+PH4+fkF+Rb5KPk8+U75Xvlr+Xb5fvmF+Yv5kvmY+Z35n/mf+Z/5ovmp+bH5uvnA+cH5v/m6+bL5p/mX+YP5bvle+Vb5WPlh+Wv5dfl9+YT5i/mO+Yz5gflu+Vb5Pvkp+Rn5D/kI+Qb5CPkM+Q/5D/kN+Qn5CfkQ+R75MflE+VP5WflY+U/5Q/k3+S75Kfko+Sb5IvkZ+Q/5B/kE+QX5B/kJ+Qn5CPkK+Q/5Fvkd+SL5J/kt+Tb5Q/lR+V35Z/lv+Xr5ifma+a35wPnR+eT59/oM+iH6NPpF+lX6Zvp5+o36ofqz+sT61Prl+vX7A/sP+xn7I/su+zv7SftX+2L7a/tz+337ifuX+6f7t/vF+9D72fvg++f77vv3/AD8CfwR/Bf8Hfwh/CX8KPws/DL8N/w9/ED8Qfw+/Dn8M/wt/Cb8IPwa/BX8FPwV/Bj8GvwZ/BP8Cfv/+/b78vvv++376vvl++D73Pva+9n72vva+9n71vvT+9D7zvvN+8770fvU+9j72/vd++D75vvs+/L79fv1+/T78vv0+/n8AfwL/BX8H/wr/Df8RPxP/Fj8Xvxi/Gf8bvx3/IT8lPym/Lj8x/zT/Nv84/zt/Pz9D/0i/TH9O/1A/UX9Sv1R/Vj9XP1e/WD9ZP1s/Xf9g/2O/Zf9of2t/bv9yv3Y/eb99f4I/h/+Of5U/m7+hf6a/q7+wf7U/ub+9/8H/xb/JP8z/0X/Xf94/5X/rv/A/83/2P/n//sAEgAnADkASABaAHIAjwCrAMMA1gDqAQMBIQE/AVkBbQGAAZcBswHQAeUB7wHzAf0CEQIrAj0COgIkAgcB9QH3Ag0CMQJnAr0DQAPpBJYFGQVQBUYFKgU8BZkGLQa3BvQGxgZLBcEFZAVIBVgFawVjBTwFCATbBLkEnAR5BFAEKgQUBA8EFQQbBBkEEwQQBBIEGAQbBBcEEQQRBB4ENQROBGIEbwR3BIQEmgS3BNYE8QUEBRAFFgUWBRIFCQUBBPoE+AT3BPQE7QTjBNYEywTABLQEpgSVBIIEcARfBFAEQQQvBBoEAQPiA78DmANwA0wDLAMOAu4CyAKbAmkCNgIGAdsBtgGVAXoBZQFYAVABSwFFATwBLgEcAQkA9wDpAN8A3ADfAOUA7ADvAO4A6gDmAOIA4ADfAN4A3gDjAPABBAEgAT8BXwF/AaEBxQHsAhQCOgJaAnECfQKBAn4CdwJsAloCPAIPAdQBkgFWASkBEgEPARkBJwE1AT4BRgFPAV0BcQGLAasBzgHvAgsCHQInAi0CNgJIAmICgwKkAsAC1ALiAvADAwMfA0EDZwOLA6wDygPpBAoEKgRFBFYEWgRXBFYEXQRyBJEEtgTbBP4FIQVGBWwFkAWvBccF2QXqBf0GFAYvBkoGZAZ9BpUGrgbHBuEG+wcVBzAHSwdmB4EHmwexB8UH1QfiB+4H+ggICBkIKwg9CE4IXwhxCIUImgiwCMII0wjkCPgJEAkuCU0JbAmHCaAJtgnLCeAJ8woEChMKHwopCjEKOAo9CkQKTgpbCmgKcgp4CnsKfQqCCosKlgqfCqMKogqgCqIKpwqtCq4KqQqeCpIKiAqECoEKfQp2CmwKYwpdCloKVwpRCkcKPAoxCioKJQogChkKDwoECfcJ6wnhCdkJ0gnNCekJ3AnOCcQJwQnHCdAJ1gnSCcUJtwmuCa8Jtwm/CcMJwgnBCcQJxgnCCbQJoAmPCYsJlQmiCaQJkQlvCU8JRQlZCYIJqwnDCcQJugm1CcQJ5goTCj0KWgppCmwKZwpdClEKSApJClgKeQqoCt0LEAs+C2ULiQusC88L7gwHDBsMKgw4DEkMWwxuDH8MiQyODJAMlAyfDLIMzAznDPwNCA0ODRINGg0nDTkNSg1WDVwNXw1lDXMNiA2fDbINuw27DbcNtQ26DcYN0w3fDekN9Q4JDiYOSA5iDm8ObQ5oDm0OhA6kDrwOvg6lDoQOdQ6NDs4PKA98D7QPyg/GD7oPrw+pD6UPoA+dD6MPsg/HD9gP3w/aD9IPzw/YD+0QChAqEEkQZxCEEJ8QtxDLENwQ7REBERgRMxFREXARjBGiEa8RshGvEasRqhGtEbIRtBGyEa4RqhGnEaYRohGaEZMRjhGREZsRpxGwEbQRtBG0EbURtxG3EbMRrRGmEaIRnxGcEZURjBGDEXsRdRFwEWkRXxFVEU0RShFLEU0RThFOEUwRShFFET0RMhEmERsREBEFEPcQ5BDPELkQpRCUEIIQbxBZEEEQKRATD/8P7A/cD80PvQ+qD5MPdw9ZDz0PJQ8RDv4O6Q7RDroOqQ6fDpgOjA51DlMOLw4WDhEOJw5TDooOww73DyAPPg9PD1APQA8gDvIOvg6MDmMOSg5FDlUOdw6oDuEPHA9QD3YPiA+ED2kPOQ77DroOgA5XDkIOQg5ODlwOZA5lDmAOWQ5QDkEOKA4BDc8Nlw1hDTENBwzgDLoMmAx7DGIMSQwqDAML1wuuC48LfQtyC2ILSAsjCvkK0QqvCo8KbgpICh4J9QnRCbEJkglyCU8JKgkGCOUIxAijCH8IWAgxCAwH6AfFB6EHfAdWBzEHDQbpBsQGnwZ6BlQGMAYLBeYFwAWaBXMFTQUoBQQE4wTEBKYEiARoBEUEIAP7A9cDtgOUA3IDTgMqAwYC4wK/ApkCcQJKAiMB/QHXAbABhgFaAS8BBgDgALwAmQB1AE8AJ////9X/rP+D/13/O/8a/vr+1/6x/ov+Z/5F/iT+Bf3k/cP9of2B/WD9Pf0Y/O/8xvyf/H38XvxC/Cf8C/vu+8/7rvuK+2b7Q/si+wX66/rS+rj6nfqA+mP6Rfon+gr57fnS+bf5nPmC+Wj5UPk5+SL5C/jx+Nf4vfim+JH4ffho+FD4Ofgj+BH4BPf59+734vfU98f3uvet96L3lveM94T3fvd39233XfdK9zb3J/cd9xf3E/cO9wb2/fb09uz25Pbb9tL2yvbF9sT2x/bL9s720PbR9s/2zPbJ9sf2yPbL9tH22fbi9uz29vcA9wn3Evca9yH3Kfcz9zz3RvdO91X3XPdk92/3fPeK95j3p/e398f31/fj9+339ff++An4F/gm+DP4QPhN+Fr4avh4+IX4j/iY+KD4q/i4+Mf41vjj+O348Pjs+N/4zPi7+LT4u/jN+OP49vkC+Qn5Evkf+TD5PvlE+UH5O/k7+UT5VPlg+WD5UPk0+Rj5A/j6+Pr4+/j6+Pb48/j1+P/5Evkq+UL5Vvlh+WD5VvlG+Tf5Lvku+TX5PflE+Uj5S/lR+Vj5X/lg+Vv5UvlK+Uj5TPlS+VX5U/lP+Uz5UPlX+V75Yflh+WP5a/l++Zf5sfnH+dn56fn7+hL6K/pC+lX6Zvp4+oz6oPqx+rz6wvrN+un7Hftp+8H8EvxL/F38Q/wC+6f7R/r9+t369Ps8+6P8C/xY/Hz8ePxd/Dv8IPwN/AH79fvo+9772fvY+9v73fvf++H75fvr++/77fvk+9f7yfvA+737vvu9+7b7pvuL+2j7Qvse+wH66frU+rv6nPp4+lf6P/ox+if6GvoD+eP5wfmj+Yz5d/lh+Ub5KfkQ+QL4/fj++QD4//j8+Pr4//kN+Sj5TPly+Y35jvls+Sr41/iI+E74L/gk+B34E/gG9/33//gO+CP4NvhD+E34V/hj+HD4evh++H/4fvh/+ID4ffh2+Gv4Yvhf+GL4Z/hr+G34cPh1+H74hfiJ+IX4fvh6+Hv4gviM+JT4l/iX+JX4lPiU+JP4kviT+Jn4oviv+Lv4xPjJ+Mr4x/jA+Lb4p/iX+Iv4hviK+JX4oviu+LX4uPi3+LT4sPit+Kv4qvir+K34sfi2+L74yPjW+OX49PkC+Q/5HPkq+Tf5Q/lN+Vb5Xflj+Wn5bflw+XL5dvl9+Yb5j/mY+Z75ofmk+ab5p/ml+Z35j/l++Wz5XPlQ+Un5SPlP+V35b/mC+Y/5k/mM+Xz5ZPlI+Sr5Dvj3+Of44vjl+O749/j/+QP5CfkR+R/5MvlF+Vb5X/le+VP5QPkt+R75F/kX+Rr5G/kW+Q35Avj7+Pj4+fj6+Pr4+/j++QT5C/kS+Rf5Gfkb+SH5Kvk1+T/5SvlV+WP5dfmL+aD5s/nF+df57PoC+hn6LvpB+lL6ZPp2+on6m/qs+rz6zPre+vH7A/sT+yD7Kvs1+0D7TPtY+2P7a/ty+3n7gvuO+5v7qfu2+8H7yvvS+9n74Pvn+/D7+fwB/Aj8D/wV/Br8H/wk/Cn8Lvwx/DP8M/wy/C/8K/wm/B/8GPwR/Az8CvwK/Av8C/wH+//79Pvo+9771vvR+837yfvG+8X7xvvG+8f7xvvF+8X7xfvG+8f7xvvE+8H7v/vA+8H7xPvH+8v70PvV+9r73vvg++D74fvl++z79Pv9/Ab8DvwY/CP8MPw+/En8UPxV/Fj8XPxl/HT8ifyi/Ln8zPzY/N/85fzu/Pz9DP0c/Sj9MP01/Tr9QP1G/Ur9Tf1O/VH9WP1i/W79eP2A/Yb9jv2a/aj9tv3E/dL94f30/gr+I/48/lT+av6A/pX+q/6//tL+4/7y/wH/D/8f/zL/Sv9m/4L/mf+q/7f/w//U/+oAAQAVACQAMQBCAFoAdwCVAK8AxADZAPMBEgEyAU0BYQFyAYYBngG5Ac8B3QHoAfYCCwIiAjACLAIWAfsB6QHoAfoCHgJZArsDSQP5BKUFHwVMBTcFFAUfBXUGAAaCBrsGkQYfBZ8FSQUuBTkFRQU0BQYEzgSgBIMEbwRXBDkEGgQFA/4EAAQDBAED/QP8BAEEBwQLBAoECwQUBCsETQRwBIkElwSeBKkEvQTZBPgFEAUcBR0FFAUIBPsE8QTuBPAE9wT9BQAE/QT1BO0E5gTiBN0E1gTJBLgEpgSVBIUEdQRiBEsELgQMA+YDwAObA3oDXgNFAykDCgLlAr0ClQJuAkoCKQIKAe8B2gHKAb8BswGkAZEBegFiAUsBNgElARkBEgERARUBGgEdARsBFQEPAQ4BFAEiATYBTgFnAYABmgG2AdUB9wIbAkICaQKPArACyQLZAt8C3QLWAswCwAKxApoCdgJDAgYBygGZAXsBdAF8AYsBmgGkAawBtQHCAdIB5AH6AhQCMwJVAnYCjwKaApgCkQKOApQCpgLAAtkC7wMAAxIDKgNIA2sDjgOsA8UD2wPzBBEEMwRVBG8EfwSGBIcEigSTBKQEvQTeBQYFNAVmBZYFvwXfBfUGAwYPBhoGKQY6Bk0GYgZ5BpMGrQbHBt8G9wcOByUHPAdUB2wHhQecB7IHxwfaB+sH/AgNCB4ILgg+CEwIWghpCHwIkQinCLoIzAjdCPEJCwkpCUoJagmGCZ8JtAnHCdoJ7Qn/Cg8KHQonCi0KMwo6CkYKVwppCngKgQqECoMKgwqHCo8KlwqdCp4KnQqeCqMKqgqvCq4KqgqjCqAKoAqjCqMKngqTCocKfQp2CnEKawpiClcKTgpHCkMKQAo7CjQKKwoiChkKEQoJCgIJ+wnzChAJ/QnnCdQJywnOCdkJ4wnmCeEJ2QnWCd0J6AnvCewJ4AnRCcgJxQnDCb0JrwmeCZIJjwmTCZYJlQmQCZAJnQm2CdMJ5gnpCeAJ2AndCfMKFgo6ClYKaApyCnYKdApqClwKUQpWCnUKrQrzCzYLbAuPC6gLwAvdC/8MHgw2DEQMTgxYDGYMeAyJDJQMmAyXDJkMowy2DNAM7Q0GDRgNIQ0lDSkNLw06DUYNUg1aDWENaQ13DYsNog23DcQNxw3FDcINxQ3PDd0N7A35DgUOFg4vDk0OaQ56DnwOdA5uDnUOhw6aDp4Oiw5rDlMOXQ6UDuwPSQ+QD7EPsw+nD6APog+oD6gPoA+WD5MPng+zD8cP0Q/QD8sPzw/fD/wQHRA8EFYQbhCIEKUQwxDfEPURCBEbETIRThFuEY4RqhG+EckRzRHNEc4R0hHYEd0R4BHeEdoR1RHREcwRxhG+EbkRuRHAEcwR1xHeEd8R2xHWEdERyxHDEbcRrBGjEZ4RnBGZEZIRiBF8EXMRbBFlEV0RUhFIEUARPRE/EUIRRBFDET8ROxE2ETERKxEkERsRDxEAEO0Q1hC9EKUQjxB7EGkQWBBGEDUQJBATEAIP7w/dD8sPuw+pD5QPeg9eD0IPKw8ZDwkO+A7kDs4Ouw6sDqEOlA6CDmgOSg4vDh4OGA4eDisOPA5RDmkOhA6fDrUOwA6+Dq8Olg54DlsORA43DjUOQA5UDnAOjg6sDscO3A7lDuIOzg6sDoIOXA5CDjsORg5aDmwOdQ5zDmsOYw5dDlcOSg40DhMN7A3BDZQNZA0tDPIMugyNDG4MWQxDDCQL+gvJC50LfAtnC1YLQwsnCwYK4wrCCqMKggpdCjQKCgnjCcIJowmFCWUJQgkeCPsI2AizCIwIYwg6CBMH7gfKB6UHgAdbBzcHFAbxBs0GpwZ/BlcGMAYMBesFygWpBYUFXgU4BRME8QTSBLQElQRyBE0EJwQEA+QDxQOnA4YDYwM/AxwC+ALUAq0ChAJZAi4CBgHgAbsBlAFsAUIBGgDzAM4AqgCHAGMAPAAT/+n/v/+X/3P/Uv8z/xP+8P7L/qf+hf5m/kf+J/4F/eL9v/2e/Xz9WP0x/Qn84fy+/J/8gvxl/EX8JPwE++X7xvum+4T7YftA+yP7C/r0+tz6wfqj+oP6ZPpG+in6Dfnx+dX5uvmf+YX5a/lS+Tn5IPkH+O341Pi8+KX4j/h4+GH4Sfg0+CP4F/gN+AT3+Pfp99n3yve+97b3r/en9573kveF93X3ZfdW90f3O/cw9yb3HvcV9w33Bfb99vT26vbh9tr21PbR9s/2zvbP9tD20PbQ9s72yvbE9r/2v/bE9s322Pbk9vD2+/cG9xL3HPck9yv3Mvc590L3TPdV9133Zvdv93r3h/eV96P3sPe+98v32Pfj9+339ff++Aj4FPgg+Cv4NvhC+E/4Xvht+Hv4hfiN+JX4nfio+LX4wvjP+Nr44fjg+Nb4xvi1+Kv4rvi9+NH44/jv+Pf5APkP+SH5Mfk5+Tb5Lvkr+TP5Q/lS+VX5Sfkv+RP5APj4+Pn4/Pj6+PP46vjl+Or4+vkS+Sz5Q/lQ+VL5SPk4+Sj5HPkY+Rr5H/kj+Sf5LPk0+T75RflG+UP5Pfk8+UD5SPlO+U35Rfk7+Tb5OflA+UX5RflB+UH5TPlj+YL5n/m0+cL5zvnf+fb6EPom+jX6PvpH+lX6afqA+pj6svrV+wj7UPul+/n8N/xP/Dr7/fuk+0L67vq5+rL62vso+4j74vwh/Dz8N/wf/AL76vvX+8v7wfu5+7T7sPut+6f7oPuZ+5f7mvuf+6H7m/uN+3r7avti+2P7aPtq+2L7TPsp+wD61/q0+pj6gPpl+kH6Ffnk+bn5mPmB+XD5XPlC+ST5CPjy+OT42PjL+Lv4qvid+Jb4lfiU+JP4kfiQ+JT4m/in+LX4xvjY+OP43/jE+JL4U/gZ9/H33/fa99f3z/fC97j3uPfE99f36ff4+AT4Efgh+DH4PPhC+EP4RPhG+En4SPhB+Df4LPgn+Cf4LPgw+DT4OPg9+EX4S/hL+EX4O/g0+DT4O/hF+E34UPhQ+E74T/hS+Ff4W/hh+Gf4b/h4+IH4ifiS+Jn4n/ih+Jr4i/h0+Fz4SfhA+EH4S/ha+Gv4e/iG+I34jviK+IT4f/h8+H34gfiJ+JP4n/is+Lj4w/jM+NT43vjr+Pn5CPkV+SD5KPkw+Tj5QPlH+Uz5UflW+V35Zflr+XH5dfl5+YD5ivmV+Zz5nPmS+X75ZPlJ+TL5JPki+Sz5PflT+Wf5dvmA+YL5fPlu+Vb5N/kW+Pj44/jX+NX42Pje+Ob47/j8+Q/5Jfk8+VD5W/lZ+Ur5MvkX+QH49/j5+QH5CfkM+Qn5Afj5+PX48vjx+PD48Pjz+Pn5AfkJ+Q35D/kR+RT5Gvkj+S35OPlF+VX5aPl9+ZH5pPm2+cn53vn1+g36I/o2+kf6Wfps+n/6kvqj+rL6wfrS+ub6+vsM+xv7KPs0+0D7TPtZ+2T7b/t4+4D7iPuR+5v7pfuw+7r7xPvN+9X73fvk++z79Pv8/AL8CPwN/BH8Ffwa/B38IPwh/CD8H/wd/Bv8GfwW/BH8DPwH/AT8A/wE/AX8BPwA+/j77/vk+9v70fvJ+8H7vPu6+7v7vfu/+7/7vfu6+7j7ufu8+777vfu6+7b7svuw+7H7s/u1+7f7uvu++8P7yPvM+9D71vvd++b77vv2+/z8APwF/A78Gfwm/DP8PfxD/Ef8TPxX/Gj8gPyc/Lb8y/za/OX87vz5/QX9Ev0c/SP9Jv0p/S39Mv02/Tj9OP04/T39Rv1T/V/9aP1u/XT9ff2J/Zf9pf2y/b79zf3f/fb+Dv4m/jz+Uf5n/n3+lP6q/r7+z/7f/u3++/8L/x7/Nf9Q/2v/g/+U/6H/rv+//9X/7AAAABAAHQAuAEYAZACDAJ8AtgDMAOYBBAEiAT0BUQFhAXMBiQGiAboBzgHhAfUCCwIgAikCIgIMAfIB3wHZAeICAAI7AqIDOwP1BKcFIwVOBTYFDwUSBV0F3QZYBpIGcgYOBZoFRwUlBSQFIQUEBNAElgRqBFQESQQ9BCgEDgP5A+4D7APuA+8D7wPxA/YD/AQABAIECQQaBDoEYwSLBKkEuQTDBNAE5wUFBSEFMQUvBR0E/wTgBMcEuQS5BMQE1wTrBPkFAQUCBQEFAQUCBQIE/wT3BOwE3gTQBMEEsASZBH0EWwQ0BAwD4wO+A58DhQNxA18DTgM7AyYDDALvAs4CqgKFAmMCRQItAhoCBgHxAdkBwQGqAZYBhQF3AWoBYAFcAV0BYQFjAWEBWgFTAVMBXgF3AZkBvwHjAgICGwI0Ak8CcAKYAsMC7QMRAysDNwM4Ay4DHQMIAvQC4QLMArECjgJhAjACBAHnAdsB3wHqAfMB9wH3AfsCBwIbAjECRgJXAmgCfgKcAr8C3gLvAu8C4wLXAtMC2wLsAv8DDwMdAy4DRwNpA5ADtAPQA+MD8wQEBBsENwRVBHAEhgSVBKEEqgSzBL4E0QTuBRkFTwWLBcMF8QYSBiYGMwY9BkYGTwZYBmIGbwaCBpsGtwbTBusG/wcQByEHNAdIB14HdgeNB6MHuAfLB90H7wgCCBUIKAg5CEkIVwhnCHgIjQijCLkIzwjkCPsJFAkvCUsJZwmBCZkJrgnCCdMJ4wnzCgIKEAobCiMKKwo2CkUKWQptCn0KhQqFCoMKggqFCosKkAqSCpIKkwqXCp4KpwqsCq0KrAqsCrIKuwrBCsEKuQqsCp4KkwqLCoMKeQptCmEKWgpXClUKUwpNCkYKQAo8CjoKOAo1Ci8KKAoeCjYKJAoMCfMJ4AnbCeAJ6QntCeoJ5AnjCeoJ9Qn7CfUJ4QnICbYJsAmzCbkJugm1Ca8JrQmyCbwJyAnVCeIJ8An7CgEJ/Qn1CfEJ+AoQCjEKUQpoCnMKdwp6Cn8KgQp9CncKeQqSCsgLFgtpC6wL0gvfC98L5Qv5DBgMNwxODFwMZQxvDH0MjQyZDJ4MnQydDKUMuAzVDPQNEQ0mDTINOQ0+DUMNSQ1PDVQNWg1gDWoNeA2LDaENtg3GDc8N0g3TDdQN2Q3iDe8N/Q4NDiEOOw5YDnQOhg6MDocOfw5/DogOlA6VDoEOWw41DikOSg6XDvoPVA+MD5wPkg+FD4QPkA+dD6APlg+GD38PhQ+WD6gPsw+4D78P0Q/vEBUQORBVEGoQfhCXELYQ2BD4ERIRJxE7EVMRcBGQEa4RxRHVEd4R5RHrEfMR/BIFEgsSDRIOEgwSCBICEfkR7xHmEeMR5xHyEf4SBhIHEgMR/BH2EfAR5xHbEcsRuhGtEaURohGeEZcRixF+EXERaBFfEVcRThFHEUQRRBFHEUkRRhFAETgRMhEvES0RKxElERkRCBD0EOAQzRC7EKkQlhCAEGgQUBA6ECgQGhAOEAAP7w/bD8cPtA+iD44Pdw9dD0MPLA8aDwwO/w7wDt8Ozg6/DrAOog6RDn8Oag5XDkQOMQ4fDg0N/w36DgIOFw41DlUObw5+Dn8Odg5mDlYOSQ5CDj4OOg4xDiQOFA4KDg0OIw5KDngOnw61DrQOow6ODoEOgg6NDpoOoA6cDo8Ofw5xDmQOVw5FDjEOHA4EDeYNuw1+DTAM3QyVDGQMSQw8DCwMDgviC7ALggtgC0kLNgsiCwoK7wrTCrgKmwp5ClMKKQoACdoJtwmWCXQJUQktCQgI4gi8CJQIawhCCBsH9QfQB6oHgwddBzkHFwb2BtMGrgaHBl8GOAYTBfIF0gWxBY8FagVFBSIFAQThBMEEnwR6BFQELwQNA+4D0QOzA5IDbwNLAycDAgLdArYCjQJhAjYCDQHmAcEBnAF2AU8BKAEBANsAuACVAHIATQAm//z/0/+s/4j/aP9I/yf/A/7f/r3+nv6B/mT+Q/4g/fv91/20/ZH9bP1E/R38+vzc/MH8pvyG/GL8PPwY+/f72fu7+5r7ePtY+zz7JfsQ+vj63fq/+p/6gfpk+kn6LPoP+fH51Pm5+Z/5hPlp+U/5Nfkc+QX47fjW+L74pfiM+HP4W/hG+DX4KPgd+BP4B/f49+j32ffP98n3xPe+97P3o/eR9373b/dj91n3TvdB9zP3JfcZ9w/3B/b+9vX26/bi9tv21/bU9tH2zfbK9sj2yPbG9sL2uvay9qz2rfa19sT21fbl9vP3APcM9xj3I/cs9zP3OfdB90n3U/dc92T3a/d093/3i/eY96T3rve498L3zffY9+T37/f6+AX4DvgX+B/4Jvgv+Dr4R/hV+GP4b/h6+IX4j/iZ+KP4rfi3+ML4y/jP+Mr4vfis+KD4n/ir+L740fjf+Of48Pj8+Q35Hfkm+ST5HfkY+R75LPk9+UX5P/kq+RH4+/jw+O747/jt+Ob43vja+N346vj++RX5Kvk2+Tn5Mfki+RD5Avj6+Pn4/fkD+Qn5Efka+SL5Kfkr+Sv5K/kt+TT5O/k++Tr5Mvkp+Sb5Kfku+S/5K/kl+Sf5NflP+W/5ivmd+aj5s/nF+d75+foN+hf6G/oi+jT6U/p8+qr62fsL+0L7fPuz+9z77Pve+7P7cvso+uL6rPqT+p/6z/sc+3L7vvvv+/778/va+8H7rvui+5v7lvuR+4v7g/t4+2v7W/tN+0X7Q/tF+0X7Pfst+xn7CfsA+wH7BvsI+v/66frH+qD6e/pc+kL6KPoG+df5nvli+Sz5BPjo+NL4vPij+Ir4dPhl+Fv4U/hJ+D/4N/gz+DL4Mvgu+Cf4Ifgg+Cb4L/g3+Dv4O/g6+Df4Lvga9/n30Peq95H3h/eG94f3gvd593H3c/d+9473n/es97n3x/fY9+n39vf9+AD4AvgH+Az4DvgK+AD39vfu9+337/fy9/X3+Pf9+AT4CfgJ+AX3/ff29/X3+fgA+Ab4CPgI+An4DfgV+B/4KPgw+Df4PfhD+En4UPhZ+GX4cfh5+Hv4cvhf+Ef4Lvga+A74CvgP+Bv4LPg++E74Wvhg+GL4Yvhh+GP4Zvhr+HH4ePiB+Iv4lfie+Kb4r/i6+Mb40/jf+On48vj8+Qj5Ffkh+Sr5MPk1+Tr5QPlE+Uj5SflL+VD5Wfln+XX5f/l/+XT5YPlI+TH5IPkW+RT5F/ke+Sf5NPlF+Vn5bPl4+Xn5bPlU+TX5Fvj7+OX41vjM+Mf4yPjS+OP4+/kW+S75PflB+Tb5H/kE+O343/jd+OP47Pjy+PT48vjv+O747fjs+Or46Pjp+Oz48vj4+P75AfkE+Qr5Evkd+Sn5NvlD+VH5Yvl0+YX5l/mp+bz50vnq+gH6Ffom+jX6Rvpa+m76g/qW+qb6tfrF+tb66fr7+wz7HPsq+zf7RftS+1/7bPt4+4P7jvuX+6D7qPux+7v7xfvP+9j74Pvo++/79vv8/AH8BfwH/An8C/wN/BD8EfwQ/A78C/wJ/Af8BfwC+//7/Pv5+/j7+fv7+/37/vv8+/j78vvr++P72fvO+8X7vvu7+7z7v/vB+8L7wPu9+7z7vPu++777vPu4+7T7sPuv+677rfus+6v7rPuv+7T7uvvB+8j7zvvW+9775/vt+/P79vv6+//8B/wR/Bv8Jfwt/DT8PfxK/F38dfyP/Kj8vvzQ/N/87fz6/Qf9EP0V/Rf9GP0b/R/9JP0n/Sf9Jf0k/Sn9Mv0//Uv9VP1b/WP9bf17/Yn9lv2f/an9tv3I/d/9+P4P/iX+Of5O/mX+fP6S/qX+tv7H/tb+5f71/wf/Hf83/1P/a/9//43/m/+s/8H/2P/uAAEAEgAlAD0AWgB4AJQAqwDAANcA8gENASYBPAFPAWQBfAGWAbAByAHeAfUCDAIeAiUCHgIKAfIB3gHRAdAB4QIUAnkDFAPUBI4FFgVOBUQFIwUkBWEFzAY2BmoGTwX5BZIFQwUcBQ4E/QTXBJ8EZgRABDAELgQrBB0EBgPwA+ID3gPgA+MD5gPpA+wD7wPyA/cEAgQZBD0EaQSTBLMEyATYBOwFCAUoBUIFTAVABR8E8gTEBKAEjASJBJgEsQTOBOgE/AUHBQ0FDgUOBQsFCAUEBP8E+gT0BOoE2gTCBKMEgARZBDEECQPkA8UDrAOcA5MDjgOKA4IDdANdAz4DGALvAscCowKEAmkCUAI3Ah8CCQH3AesB4QHbAdUB0gHTAdYB2wHdAdkB0AHFAcABxwHbAfkCGwI5AlACYQJwAoQCoQLHAvIDHQNCA1wDaQNpA1wDRQMoAwgC6QLMArACkgJyAlICOQIsAisCMwI7Aj0COAIyAjUCRQJgAn0CkgKeAqQCrQLBAtwC+AMMAxQDFQMZAyYDPANUA2UDbANtA3EDgwOjA8sD8gQRBCYENARCBFEEYwR3BIoEnQSwBMME0wTfBOgE9QUNBTUFbAWqBeQGEQYwBkMGUgZhBnAGewaCBoUGiwaXBqwGxgbhBvcHCAcUByEHMAdFB1wHdAeLB58HsAfAB88H4AfzCAgIHggzCEcIWghsCH4IkQinCL0I1QjtCQYJHQkzCUgJXQl0CYsJoQmzCcIJzgnZCeYJ9AoDChAKHAopCjcKSApaCmcKbgpwCm4KbwpzCnkKfwqDCoUKiQqRCp0KpwqvCrIKtQq7CsYK0grZCtcKywq8Cq4KpAqdCpUKiQp8CnEKagpoCmcKYwpcClUKUgpTClYKVwpUCk4KSApBClEKSgo5CiAKCAn3CfAJ7QnnCd0J0gnNCdMJ4AnrCekJ2Am/CakJoAmlCbQJwwnNCdMJ1wndCecJ9AoACgkKDAoKCgEJ+An0Cf0KFQo4ClwKdQp/Cn4KfAqACokKlAqcCqUKugrnCy4LgwvSDAYMGAwQDAMMAQwSDDAMTwxmDHQMfQyIDJYMowyrDKwMrAywDMAM2gz4DRQNKQ02DT8NRg1ODVUNWg1cDVwNXw1nDXYNiQ2fDbINwg3NDdUN3A3iDecN7Q3zDfwOCg4fDjwOXA56Do4Olg6VDpEOkg6bDqYOpw6SDmcOMw4PDhEORA6dDwEPUg98D4MPdg9rD20Peg+GD4cPfA9vD2gPbg98D4sPmA+kD7YP0w/5ECIQRRBeEHIQhhCjEMgQ7xESES0RQhFXEXARjhGuEckR3hHsEfYR/xIIEhASGBIdEiISJxItEjMSNxI2EjASJhIeEh0SJBIwEjkSPBI1EikSHRIUEg4SBxH7EesR1xHHEboRshGqEZ8RkhGDEXYRbBFlEV4RWBFTEVIRUxFUEVIRSxFBETgRMxEzETQRMhEnERQQ/RDnENgQ0hDPEMoQuxCgEHsQUxAvEBYQBw//D/YP6Q/XD8IPrA+XD4IPbA9UDzsPJQ8RDwIO9w7sDuIO1w7LDr4Orw6gDpEOhA53DmkOWA5BDikOEw4GDgYOFQ4uDkkOXg5qDmkOYA5TDkoORw5KDkwORA4qDf4NyQ2eDZENrg32DlgOvQ8KDy8PLg8UDvQO3A7TDtMO1Q7SDscOtQ6fDocObA5RDjkOKA4eDhIN9g3BDW8NDAytDGMMOQwoDCEMEwv1C8oLnAtzC1ULPQsoCxAK9grbCsAKpgqJCmgKQgoaCfEJygmkCYAJWgk0CQ0I5Qi9CJQIbAhFCCAH+wfXB7IHjAdmB0EHHQb7BtgGtQaRBmsGRQYfBfoF1gWzBZEFbwVPBS8FEATvBMwEqQSEBGAEPQQcA/wD3AO6A5cDcwNNAygDAgLcArYCjwJnAj8CFwHvAccBoQF7AVYBMAEKAOUAwACdAHoAVwAxAAr/4v+8/5r/ev9b/zv/GP70/tP+tP6W/nf+Vf4x/gv96P3F/aL9ff1X/TL9Evz3/N78w/yi/Hv8U/wt/Az77vvQ+7D7jvtu+1P7PPsm+w768frS+rT6mPp9+mL6Rfol+gb56fnP+bf5nfmC+WX5Svky+Rz5Bvjv+NT4uPid+IL4avhW+ET4Nvgq+CD4FfgI9/n36/fg99j30vfK9773rfea94n3fPdz92r3X/dQ9z73Lfce9xP3Cfb/9vX26/bi9tz22PbT9s72yfbE9sL2wfa/9rn2sPal9p/2ofat9r/20/bl9vT3AfcN9xn3JPct9zX3PfdG91D3Wvdi92j3bfdz93z3iPeU95/3p/eu97b3wPfM99n35ffw9/r4AvgJ+A/4Fvgd+Cb4Mfg8+En4Vfhi+HD4ffiI+JD4lfib+KT4rvi3+Ln4svil+Jj4lPid+K/4w/jS+Nv44fjp+Pf5BvkQ+RL5DvkK+Q75HPkt+Tn5N/kn+Q749Pji+Nj41vjV+NT41PjW+Nz45/j2+Qf5Fvkf+SD5FvkF+PD43/jV+NX43Pjn+PL4+/kC+Qj5DPkQ+RL5FPkX+Rv5Hvkf+R75HPkb+Rz5H/kg+R35F/kT+Rj5KPlA+Vr5b/l9+Yj5l/mu+cn54vnz+f36B/oZ+jv6a/qk+t37D/s4+1b7aPts+1/7Q/sb+u76wfqZ+nn6Zfpk+n76tPr++0z7ivuq+6v7lvt6+2b7Xftd+2D7X/tZ+0/7Qvs1+yX7FPsD+vf67/rr+ub63vrQ+r/6r/qk+qD6n/qd+pT6gfpn+kj6K/oR+fb51vmp+W/5K/jn+K74hPhp+FP4P/go+BH3//fz9+r34vfY98/3yffJ98z3zffI9773tPew97P3u/e/9773tvet96T3mveN93n3X/dG9zT3Lfct9y33Kvcl9yP3J/c090X3Vfdj93D3f/eQ96D3rfe097j3u/fB98n3zvfO98j3v/e397L3sfex97H3sfez97f3vffC98T3wvfA97/3wPfB98P3xPfF98r30/fe9+n38/f7+AH4BvgM+BL4Gvgj+C/4PfhJ+FH4UvhL+D34LPgX+AP38Pfj99z33/fr9/z4EPgj+DT4QfhM+FP4WPhY+Ff4WPhb+GP4bfh4+IH4ifiR+Jn4oviq+LP4vPjI+Nb45vj2+QP5DPkT+Rn5H/kl+Sn5Kvkp+Sf5Kfkw+Tr5RflN+VD5TflG+T75Nfks+SH5FPkG+Pv4+PkC+Rf5NPlR+Wj5cvlv+WH5TPkz+Rn4/vjk+M34vPi0+Lb4wvjV+Or4/fkJ+Qv5A/j0+OX42fjT+NH40vjS+NP41PjX+N344vjl+OX44vjg+OH44/jn+Or47/j0+Pz5CPkV+SP5Mfk/+U35XPls+X35jvmh+bb5zPni+fb6B/oW+iT6NPpG+lv6cPqD+pT6pPq0+sT61vro+vr7C/sb+yv7OftF+1L7Xvts+3r7iPuU+577p/ux+7r7xfvO+9f73/vl++z78vv4+/z7/fv9+/37/vwA/AL8BPwD/AD7/fv6+/j79vv0+/H77vvr++n76vvs++778fvy+/L78Pvr++T72/vQ+8b7v/u7+7v7vfu/+8H7wvvD+8X7x/vI+8f7xfvD+8D7vvu8+7n7s/ut+6j7pvup+6/7tvu8+8H7xfvK+9D72fvj++z79Pv6/AD8BPwJ/A38EvwZ/CL8Lvw+/FL8afx//JX8qfy7/Mz83Pzs/Pj9AP0D/QX9B/0M/RP9Gv0c/Rv9F/0U/Rf9IP0s/Tf9QP1I/VH9XP1r/Xj9g/2M/ZX9ov20/cv94/36/g/+Iv43/kz+Yf51/of+mP6p/rr+y/7d/u//BP8d/zn/U/9q/3z/jP+c/7D/yP/g//YACwAhADkAUwBuAIcAnQCwAMQA2QDxAQkBIQE6AVUBcgGQAawBxQHcAfICBwIXAh4CGgILAfgB5QHUAckBzQHyAkoC2wOXBFgE8QVFBVoFUgVYBYcF1gYgBj0GHAXMBXAFKAUBBO0E1QSrBHIEOwQYBAsEDQQOBAUD8wPgA9UD0wPYA98D4wPlA+UD5APlA+oD+AQTBDkEZwSTBLUEzwTjBPoFFgU1BU4FWAVNBS8FBQTYBLIEmQSQBJcEqwTEBN8E9AUBBQUFAQT4BO4E6ATmBOkE7gTyBO4E4QTLBLAEkgRzBFQENAQVA/gD4gPUA80DywPJA8ADsAOYA3kDVgMwAwsC5gLEAqUCiQJvAlgCRQI2Ai0CKgIrAjACOQJEAk8CVwJZAlICQwIxAiICHAIgAi0CPgJOAlkCYAJoAnQCigKpAs4C9gMeA0EDXQNtA20DWwM7AxEC5gLAAqICiwJ5AmoCXwJcAmECagJxAnMCcAJvAncCjAKrAsoC3wLoAucC5gLrAvcDBAMPAxkDKQNIA3gDrwPgA/wD/wPxA+ID4gP1BBcEPgRgBHgEiASUBKAEqwS2BMEEzwThBPUFBwUTBRoFIgU1BVgFigXDBfgGIQY9BlIGZwZ+BpUGpwavBq8GrgayBsAG1QbsBv8HDAcXByMHNAdKB2QHfQeUB6cHtwfFB9QH5Af2CAkIHggzCEkIXwh1CIkInAivCMII1wjtCQMJFwkpCTsJTQljCXoJkAmhCawJswm5CcQJ0wnmCfcKBgoRChwKJwozCj4KRApICkoKTwpXCmEKagpyCnkKggqOCpwKqQqxCrcKvQrGCtQK4QroCuMK1grHCroKsgqtCqYKnAqQCoYKgQp/CnwKdgpuCmYKYwpkCmUKYwpdClUKUQpRClsKYApaCkcKLwoXCgQJ9gnnCdcJyQnDCckJ2QnqCe8J5QnPCbgJqgmrCbkJywncCecJ7gnzCfgJ/goECgcKCAoECf4J+woAChAKKwpICmEKbwpzCnQKegqJCp8KtwrOCucLDAtDC4wL2AwWDDcMPAwyDCoMMQxKDGoMhwyaDKMMqgyyDLwMxgzLDM4M0wzeDPINCg0gDS8NNw08DUINTA1YDWENZQ1lDWQNag13DYwNpA24DcYNzw3VDdwN5Q3vDfgN/g4EDg4OHw46DlkOdw6MDpYOlw6YDp4OrQ6+DsQOsw6HDksOFA37DhIOVg60DxIPVA9zD3MPZg9cD1sPYQ9mD2MPWw9UD1UPXg9uD30PjQ+eD7cP2BAAECUQQxBaEHAQixCvENoRBBEnEUERVRFoEYERnhG+EdoR8RICEg8SGRIgEiUSJxInEigSLxI9Ek4SXhJoEmkSZBJfEl8SZhJvEnUSchJmElMSQRI0Ei0SJxIeEhAR/xHtEd0RzhHAEbARoRGTEYkRghF9EXURbBFiEVkRUxFPEUoRQxE7ETcRNxE8ET4ROREpEQ8Q8hDdENYQ2xDkEOYQ1xC0EIQQUBAjEAUP9w/xD+0P5Q/UD74PpQ+MD3QPXA9EDywPFg8BDu8O4g7YDtEOzA7GDr4Osw6nDpsOkA6FDnoObA5cDksOPQ41DjYOPw5MDlgOYA5fDlcOSg48DjQONQ48DkEOOg4eDesNrg17DWsNjQ3jDloO1w88D3QPfA9hDzYPDQ7yDuUO4w7jDuIO2w7MDrMOkg5rDkcOLg4jDh8OFg31DbUNWgz0DJkMWQw2DCYMGgwGC+cLwAuaC3gLWgs9Cx8K/greCr8KogqGCmcKRAoeCfUJzgmoCYQJXwk6CRII6Qi+CJMIaghDCB8H/AfaB7kHlgdzB04HKQcDBt4GuQaVBnEGTQYmBf8F2AWzBZEFdAVZBT4FHwT8BNYErwSMBGsETAQtBAwD6QPDA50DeANSAysDBALcArUCkQJtAkkCIwH7AdEBqQGDAV8BPAEYAPIAzACnAIMAYAA8ABb/8P/M/6v/jf9w/1H/MP8N/ur+yf6o/of+Y/4//hr9+P3X/bb9lP1v/Uz9Lf0S/Pj82/y4/JH8afxE/CT8Bvvo+8f7pvuG+2v7VPs9+yL7BPrl+sj6rfqU+nn6Wvo6+hr5/vnm+dD5t/mb+Xz5XvlE+S75GPj/+OP4xfin+I34dvhi+FH4Q/g3+C34JPga+A74APfz9+b33PfR98T3tPek95b3jPeE93v3b/df90z3Ovcq9x33EvcH9vz28vbq9uT23vbY9tD2yfbE9sP2w/bB9rr2r/ak9p/2o/aw9sP21/bn9vT2//cK9xX3IPcp9zH3OvdF91H3XPdl92r3bfdy93r3hfeR95v3o/ep97H3uvfF99D32vfi9+r38ff4+AD4CPgQ+Bn4Ivgr+DP4PfhJ+Ff4Zvhz+Hv4f/iC+Ij4lPii+Kz4rPij+Jf4j/iS+KH4tPjF+M/41fja+OT48vj++QT5BPkC+QX5EPkh+S75Mfkk+Qv47fjU+MP4vfi++MT4y/jU+N346Pj0+QD5CvkQ+Q75Avju+Nf4xPi7+L34yPjW+OH45/jq+Oz47/j0+Pj4+vj5+Pf49fj2+Pv5A/kL+RL5FPkR+Qz5CPkJ+RH5IPkw+T75SflT+WL5ePmT+a/5x/nZ+ev6BPop+lv6lPrI+vL7C/sW+xL7APrg+rX6hvpa+jf6H/oO+gT6AfoO+jD6bPq3+wD7M/tE+zf7G/sA+vP69/sD+wz7DPsE+vf66vrd+tL6xfq3+qn6nPqT+oz6hPp7+m76YfpT+kj6Pfoz+ib6F/oE+fD52vnC+aT5evlB+Pr4r/hp+DH4DPf19+T30ve896f3lveM94b3f/d292z3Zvdl92j3avdm91z3UPdI90X3RvdH90P3O/cy9yv3Jfcd9w/2/fbq9tv20/bR9tH20PbP9tH22fbn9vr3DPcc9yr3OPdH91b3Yfdo92z3cPd494H3iveP94/3ifeC93v3dfdw92v3Z/dl92j3bvd393/3hveK94v3iveI94b3hveJ95H3nPem96/3tve798D3x/fQ99r35ffv9/v4B/gU+B/4J/gs+C34KPge+Az39Pfa98L3s/eu97T3w/fY9/H4Cvgg+DP4PvhC+EH4QPhB+Eb4TvhW+Fz4YPhj+Gj4b/h4+IH4i/iX+KX4tfjG+NT44Pjp+PL4+vkD+Qv5EPkQ+Qz5CPkG+Qj5D/kZ+SP5Lfk2+T35Qfk++TX5JPkN+Pb45Pjc+OH48fkH+R75Mvk/+Uf5SvlI+T/5L/kY+Pv43PjA+Kv4n/id+KP4r/i++Mr41PjY+Nr42PjU+M/4yPjC+L74vfjC+Mr40vjY+Nr42vjZ+Nn42/jd+OD45Pjp+PD4+vkH+RT5Ivkx+UH5Uvll+Xj5jPmf+bL5xfnX+ej5+PoG+hX6Jvo5+kz6X/px+oH6kfqh+rH6wvrT+uX69/sJ+xn7J/sz+z77SftW+2T7c/uC+5D7nPun+7L7vfvG+8371Pva++H75/vt+/D78fvx+/H78vv1+/j7+vv5+/f79Pvx+/D77/vt++v75/vi+9772/va+9v73fvf++H74fvf+9n70fvI+8D7uvu1+7P7sfux+7L7tfu6+7/7xPvH+8n7yfvL+8z7zfvL+8X7vPuy+6v7qfur+7D7tPu2+7f7t/u6+8H7zPva++n79/wD/Av8D/wQ/A/8DvwQ/Bf8JPw0/Ej8XPxw/IL8k/yk/LT8w/zS/N385vzr/PD89vz+/Qf9Df0P/Qz9B/0E/Qf9EP0b/Sb9Lv01/T39SP1V/WL9bf14/YP9kv2l/bv90f3m/fn+DP4g/jT+R/5Y/mf+d/6I/pv+r/7D/tf+7P8D/x7/Ov9T/2n/e/+N/6H/uP/R/+oAAgAZAC8ARwBfAHYAiwCeALEAxADXAO0BBgEiAUEBZAGFAaMBvQHUAeoB/QINAhUCFAIMAgAB8AHeAcwBxQHaAh8CnwNPBBEEugUvBWoFgQWUBbcF5gYKBgkF2gWKBTYE9wTUBL8EpgR8BEYEEQPtA94D3APcA9YDygPBA78DxwPUA98D5gPnA+QD4APgA+YD9gQTBDwEawSYBL4E2QTuBQIFGQUzBUsFWwVcBU8FNwUZBP0E5gTXBNEE1ATcBOUE7ATuBOgE2wTKBLsEswS0BL4EywTUBNQEygS5BKUEkwSCBHEEXQRGBC4EGgQMBAQD/QPxA94DxAOmA4YDZwNHAyYDBALhAsACowKLAngCaAJcAlMCTwJSAlwCbAJ+ApACmwKeApUChAJtAlUCQQI0Ai8CLgIwAjMCNgI8AkUCVAJqAoUCqALQAv0DKQNLA1wDVQM3AwgC1QKqAo0CfwJ6AnoCfAKBAokClAKfAqcCrAKzAsAC2AL3AxcDMAM+A0IDQgNAAzwDNgMtAysDPANpA7QEDQReBJAEnQSMBHAEXQReBHIEkAStBMQE1QThBOsE9AT8BQMFDQUbBSsFOQVDBUgFTgVdBXsFpgXXBgcGLQZNBmkGhgakBr8G0QbXBtQGzwbPBtgG6Ab6BwkHFQcgBy0HQAdYB3EHigegB7MHxQfXB+gH+ggKCBkIKAg4CEsIYAh4CI8IpAi2CMUI1QjlCPUJBgkWCSYJOglQCWkJgAmRCZoJngmhCakJtwnKCdsJ6QnxCfgJ/woIChIKGwojCioKNApBCk8KXQpqCnQKfwqLCpgKpAqsCrIKugrGCtcK5wrwCu8K5ArWCsoKwwq9CrYKrQqjCpwKmAqWCpIKiwqACncKcQpvCm0KZgpbClEKTQpSClgKXgpdClAKPAonChUKBwn7Ce8J5wnlCe4J/QoMChEKCAn0CdwJyQnDCckJ1QniCesJ8Qn0CfYJ+gn/CgUKCQoMCg8KFAodCisKOwpLClgKYQppCncKjQqsCs8K8gsUCzgLZQueC9wMFAw8DE0MTwxPDFkMcgyVDLYMzQzYDNwM3gzjDOoM8Qz3DP8NCw0eDTQNRw1RDVINTw1PDVYNYw1xDXsNfw1/DYINjA2gDbgNzw3fDeYN6A3pDe0N9A3+DgcOEQ4bDisOQQ5aDnMOhQ6NDpAOkw6fDrUO0A7fDtUOrA5rDicN+w36DikOfA7bDy0PXw9xD2wPXg9SD0sPSA9EDz8PPA8+D0cPVQ9mD3cPig+hD78P4hAGECcQQhBaEHYQmRDDEPARGhE6EVERYxF2EY4RqhHJEeYR/xITEiQSMRI8EkMSSBJKEk0SVBJhEnISghKNEpESjRKHEoMShBKIEosSiBJ/EnASYhJWElASSxJGEjsSLRIaEgUR7xHZEcURtRGpEaMRnxGZEY0RfBFnEVURRhE8ETURLxErESsRMBE4ET0RNxElEQkQ7BDYENIQ2BDgEN4QyxClEHQQQxAcEAMP9w/yD+0P4g/RD7oPnw+DD2cPTA8zDxwPBQ7wDt0OzA6+DrQOrw6rDqkOpQ6fDpcOjA6ADnMOZQ5ZDlEOTA5LDk0OTg5ODkwORw5ADjYOKw4hDhoOGA4aDhsOEg36DdMNpQ2ADXYNkw3WDjQOmA7sDyMPOA8xDxgO+w7gDs0OxA7DDskO0g7WDs8OuA6TDmkORA4vDigOKA4eDfoNug1kDQgMtgx3DEwMLAwQC/ALzgurC4oLawtMCywLCgroCscKpwqICmUKPwoWCesJwwmeCX0JXQk8CRcI7wjECJgIbQhFCB4H+wfaB7oHmwd7B1gHMwcLBuIGuQaTBm4GSgYmBgAF2wW4BZsFggVrBVAFMAUJBN4EtQSRBHMEVwQ6BBgD8wPMA6YDgQNdAzcDDwLlAr0CmAJ2AlQCMAIIAd4BtQGQAW4BTgErAQUA3QC2AJEAbwBMACkABf/i/8H/ov+F/2f/Rv8j/v/+2/64/pb+c/5P/iz+C/3s/cz9q/2J/Wj9Sv0u/RL88vzO/Kf8gPxd/D38H/wA++D7vvug+4X7bftV+zn7G/r7+t/6xfqs+pH6cvpR+jL6GPoB+ev50Pmx+Y/5bvlS+Tv5JPkK+O34z/ix+Jj4g/hx+GH4UvhG+Dz4M/gr+CD4EvgD9/P35ffY98r3vPev96P3mveR94j3e/dr91r3Sfc69y33IfcW9wv3Afb59vL26vbg9tX2zPbH9sb2xfbC9rr2r/al9qL2qfa59sv23Pbq9vT2/vcJ9xT3Hfcl9y33NPc/90v3V/dg92f3bPdy93r3hPeN95X3nPei96r3tPe998X3zPfR99f33vfm9+/3+fgC+Av4FPgb+CH4J/gw+D34Tfhc+GX4afhr+HD4fPiO+J/4p/ij+Jb4ifiG+I/4oPiy+MD4x/jN+Nb44/jx+Pn4+/j5+Pn5AfkP+R75JPkb+QX45vjJ+LT4qviq+LD4ufjD+M342Pjk+O/4+fj++Pr47vja+MT4svir+K/4uvjG+M74z/jO+M740/ja+OD44Pja+ND4yfjJ+NH43/jt+Pb4+Pj2+PT4+PkB+Qz5Fvkb+Rz5Hvkm+Tj5Uvlv+Yr5ovm8+d76C/pC+nf6ofq2+rb6qPqT+nv6YPpC+h/5+/nb+cP5sPmh+ZP5jfmZ+b/6AfpP+pf6w/rM+rn6m/qG+oL6jvqe+qn6qPqf+pP6ifqB+nr6b/pi+lP6Rvo9+jf6M/ot+iX6GfoJ+ff54/nP+bz5qvmZ+Yn5dvle+Tr5CPjG+Hn4Kvfm97T3lveG93r3avdW90H3Mfcq9yj3J/ci9xn3D/cK9wr3C/cK9wP29/br9uL23PbY9tL2zPbG9sL2v/a69rD2ofaR9oP2fPZ59nr2fPZ+9oP2jfac9q72wfbS9uD27vb89wj3E/ca9x/3JPct9zj3RPdO91L3UvdN90X3PPcz9yr3I/cf9x/3JPct9zn3RfdP91X3VvdT91D3T/dT91r3Y/ds93H3dPd39333h/eU96L3sPe898j31Pff9+v39ff/+An4D/gR+Az3/ffm98v3sfec94/3jfeU96T3u/fW9/D4BvgW+CD4KPgu+DX4Ofg7+Dr4N/g2+Dn4QvhN+Fn4ZPhu+Hn4hviV+KT4sPi7+MT4z/ja+Ob47/jz+PP48Pjr+On46vjw+Pj5A/kQ+Rv5Jfks+Sz5JfkX+QP47/jc+M/4yPjI+M742Pjn+Pn5Dfkh+TH5Ofk1+SX5C/jq+Mn4q/iU+Ib4gviG+JD4nvit+Lv4xfjK+Mv4x/jB+L34vPi++MP4yfjM+M74zvjQ+NL41/jb+OD45Pjo+O349Pj9+Qf5FPki+TT5SPle+XT5ifmc+az5u/nI+db55Pn1+gf6G/ov+kP6VPpl+nT6g/qS+qL6sfrA+s/64Prw+wH7D/sc+yb7Mfs8+0n7WPto+3f7hvuU+6H7rfu3+7/7x/vO+9X73Pvh++X75/vn++j76/vu+/H78vvx++776/vo++j76Pvn++X74vvc+9b70PvL+8n7yPvK+8z7zPvK+8X7v/u5+7P7rvuq+6T7n/ua+5j7mvug+6f7rfuy+7X7ufu9+8P7xvvG+8H7uvuz+677rvuv+7D7r/ut+6r7qvuu+7f7xPvU++X79vwG/BL8Gvwc/Br8F/wW/Bn8Ifwt/D38Tvxf/G/8fvyM/Jr8qPy1/MH8y/zT/Nz85Pzt/Pb8+vz7/Pj89Pzz/Pn9A/0P/Rr9If0n/Sz9NP0//Uv9WP1m/XT9hf2Y/av9vv3Q/eL99f4J/h3+Lv49/kn+Vv5l/nr+kP6n/r3+0v7q/wP/Hv85/1H/Zf94/43/pf+//9n/8gAKACAANwBOAGUAfACSAKUAuADKAN0A8wEOAS4BUQF0AZUBsgHMAeMB9wIHAhACEgIQAgkB/QHrAdUBxAHLAf8CbgMRA88EggULBWAFiwWkBboF0QXZBcUFjwVEBPkEwQSeBIgEbwRKBBoD7APKA7gDsQOtA6gDpAOlA68DwAPTA+ID6QPpA+UD4gPjA+sD/QQbBEMEcgSgBMcE4wT2BQYFGAUuBUcFXQVrBW8FaQVdBU4FPwUxBSMFFAUFBPUE5QTVBMMEsASeBJEEjASQBJsEqASxBLIEqwShBJgEkgSOBIcEeQRlBE4EOQQpBB0EEAP8A98DvAOZA3kDXANBAyIDAALcAroCnwKNAoECeQJwAmgCYgJiAmoCegKMAp4CqgKuAqgCmgKFAmsCUAI3AiMCFgIPAg4CEQIYAiECKwI6AkwCZgKIArIC3wMHAx4DHgMEAtgCpwJ/AmgCZAJsAnoChwKVAqICsQLAAswC1QLfAu4DBwMoA00DbwOKA50DpwOqA6IDkAN4A2YDagOTA+MESgSyBP8FIwUhBQkE7wTiBOYE9gULBR0FKwU3BUAFSAVOBVIFVQVZBV4FYwVmBWkFbwV8BZMFtQXeBgsGNwZjBowGswbSBuYG7gbqBuQG4AblBvEHAQcRBx0HJwczB0IHVQdrB4IHlwepB7wHzwfiB/YICQgZCCUILwg6CEkIXAhzCIsIogi0CMMI0AjbCOcI9AkBCREJJAk7CVYJbgmBCYwJkAmSCZgJowmyCcAJywnRCdcJ3gnpCfcKBAoRCh0KKwo8Ck8KYApvCnoKhAqNCpYKngqkCqkKsQq+CtEK5Qr0CvkK9grsCuEK1wrPCsYKvAqzCqwKqAqmCqEKmQqNCoMKewp4CnQKbQphClQKTgpQCk4KTwpMCkQKOAoqCiEKHAobChsKHQohCigKLwozCjAKJAoQCfoJ6QnhCeAJ5QnsCfEJ9Qn4CfwKAQoICg8KFwodCiUKLQo3CkIKTQpXCmIKbwqDCp8KxArtCxYLOwtfC4QLrwveDAwMLwxCDEkMTQxZDHMMlwy9DNsM6wzxDPQM+A0ADQoNEw0dDSoNPQ1VDW0Nfg2FDYMNfw2BDYoNmQ2mDa8Nsg21Db0NzA3hDfcOBw4QDhIOEA4ODg4OEQ4XDh8OKg46Dk4OYw52DoAOgw6BDoUOlA6yDtYO8A7wDs0Oig49DgAN6g4GDk0OqQ8BD0IPYg9oD10PTA88DzAPKQ8kDyQPKQ8yDz8PTg9eD3APhw+kD8YP6xAOEC0QSRBnEIkQsBDbEQURKhFIEV8RdBGKEaIRvhHbEfYSDRIiEjUSShJiEn0SmBKuErsSvxK7ErQSrBKlEp0SkhKFEngSbxJrEmwSbhJvEm8SbBJrEmwSbRJtEmYSVxJAEiQSBRHoEdARvxG0Ea4RpxGdEYwRdxFhEU8RQhE5ES8RJREbERURFREaESARIBEVEQAQ6RDXEM4QzBDJEL4QphCFEGAQPxAmEBYQCg/+D+8P3A/GD68Plg97D18PQw8oDxAO+g7lDtEOvQ6qDpoOjg6HDoQOhA6DDoAOeA5sDlwOTQ5BDjsOOg46DjkOMw4oDh0OEw4MDgkOBg4DDf0N9w3wDegN2w3HDa4NlQ2EDYANjg2sDdYOBg44DmgOlA64DtAO2g7VDsUOsw6pDqsOuQ7LDtgO1Q6+DpgObw5PDj4OOg44DisOBw3JDXkNIQzMDIEMQwwOC+ALuAuUC3ULWQtACygLEAr3CtwKvwqdCnYKSgobCesJvgmXCXQJVAk1CRMI7gjGCJ0IdAhMCCUIAAfbB7gHlwd2B1UHMgcLBuIGuAaPBmkGRgYlBgUF5QXHBa0FlgV+BWIFPwUVBOgEvASXBHgEXAQ/BB0D9wPQA6sDiQNnA0MDGwLxAsgCogJ/Al0COgISAekBwQGeAX4BXgE8ARYA7QDFAKEAfwBgAD8AHP/5/9b/tv+X/3f/Vf8x/wz+6P7G/qX+hP5j/kL+If4B/eD9v/2e/X/9Y/1H/Sv9C/zm/L/8mfx1/FX8N/wX+/b71fu3+537hPtr+0/7MfsR+vT62frA+qX6h/po+kv6MfoZ+gD54/nB+Z35e/lf+Ub5MPkX+Pr43fjA+Kj4lfiE+HX4Z/hZ+E34Qvg3+Cr4G/gL9/v37Pfe99D3w/e396z3o/ea94/3gvdz92P3VfdH9zv3L/cj9xj3D/cH9v728vbk9tb2y/bE9sL2wfa89rL2p/ag9qH2rPa99s/23vbp9vH2+/cH9xP3Hfck9yn3L/c390D3SvdT91v3Yvdq93P3e/eB94b3iveQ95n3over97L3uPe998T3zffW99/35vft9/X3/fgF+Av4EfgY+CP4MvhB+Ev4UPhR+FT4X/hz+In4mPia+I/4gPh3+Hv4ific+Kz4tvi++Mf41Pji+Oz47/jt+Or47vj6+Qj5EPkL+Pj42vi7+KP4lfiQ+JH4lvid+Kf4s/jA+M742Pjd+Nn4zvi9+Kv4nfiX+Jv4o/is+LH4s/i0+Lf4v/jJ+M/4zPjB+LD4o/id+KL4rvi6+MP4x/jK+NL44fjy+QD5BvkE+P34+vkA+Q/5JPk7+VL5bfmW+c76D/pM+nP6efpf+jL6A/ng+c35xfnA+bf5qvmZ+YX5bflR+TT5I/kq+VP5mPnp+i/6Vvpb+kj6L/oi+iT6Mfo/+kf6R/pE+kD6Pfo4+i36HfoL+fr58Pns+ev56/no+eD50/nB+av5kvl3+V35RPkt+Rf4/vje+LP4fPg59+73pvdp9z/3KPce9xf3C/b69ub22PbS9tT21/bW9s72w/a49rP2sfaw9qv2ofaV9oj2fvZ29m/2afZl9mL2YPZc9lX2SvY+9jP2LfYs9i72MvY19jr2Q/ZP9mD2cfaC9pH2n/as9rn2xPbN9tT22/bk9u/2+/cH9w/3EvcP9wj2//b29u726Pbk9uP25fbs9vb3A/cQ9xv3Ifci9yD3H/ch9yf3Lfcz9zb3Ofc990T3T/dd92z3e/eI95X3ofet97n3w/fN99f34vft9/T39Pfs99z3xPeq95D3evds92n3cveE95z3tvfQ9+f3+/gN+Bz4Jfgo+CX4H/gb+B34I/gu+Dj4QfhJ+FL4Xfhq+Hj4hPiO+Jb4n/iq+Lb4wvjM+NH40vjR+M/4z/jQ+NT42Pje+OX47fj3+QD5BvkI+QP4+Pjp+Nj4yPi7+LP4sfi1+L/40Pjl+Pv5Dvkb+R35FvkF+O741Pi6+KP4kPiC+Hv4e/iB+Iv4l/ij+Kz4s/i4+Lz4wPjE+Mb4yPjH+MX4xPjF+Mn4z/jW+Nz44/jp+O/49vj9+QX5D/kc+Sz5QPlW+W35gvmU+aT5sPm7+cf51Pnl+fj6Dvok+jn6S/pc+mv6evqJ+pf6pPqw+r36yvrY+uf69vsD+xD7HPso+zT7QvtQ+1/7bvt++437m/un+7H7uvvD+8v70vvY+9z73vvg++P75vvp++r76fvn++P74Pve+9373fvd+9v72PvU+877yPvC+7z7ufu4+7j7t/u1+7D7q/um+6L7nvuZ+5P7i/uE+4D7gPuE+4n7jvuR+5T7mPud+6P7p/up+6n7p/un+6r7rfuu+6z7p/uh+537n/um+7L7vvvM+9n76Pv3/Af8FPwc/CD8IPwg/CD8JPws/Db8Q/xQ/F38avx3/IP8j/yc/Kn8tvzB/Mv81Pzc/OL85vzn/Ob85vzp/PH8/f0K/RT9Gv0d/SD9Jv0u/Tv9SP1X/Wf9d/2I/Zn9qf26/cv93v3y/gX+Ff4i/iz+N/5F/ln+cf6K/qL+uf7R/ur/Bf8e/zb/TP9g/3b/jv+o/8P/3v/3AA4AJAA8AFQAbQCFAJsArwDCANUA6gEDASABQQFkAYYBpgHDAd4B9AIEAg4CEwIVAhICCgH4Ad0BxQHCAesCTwLoA6AEUgTfBTcFYgVyBXoFggWDBXMFSwURBNIEmwRzBFQENwQWA/ID0QO4A6gDoAObA5kDnAOnA7kDzwPiA+0D8APtA+oD6gPuA/oEDAQnBEwEdgSgBMQE3wTyBQEFEwUqBUQFXQVuBXUFdQVyBXAFbwVrBWAFSwUsBQcE4gTCBKkElwSLBIQEgwSFBIwElASaBJ0EnQScBJ0EnwSdBJUEggRnBEoEMAQdBA0D/APjA8MDnQN4A1gDPQMjAwYC5QLDAqQCjwKDAn4CewJ2Am4CZwJkAmgCcQJ9AocCjgKOAokCfwJuAlgCPgIiAgoB+QHwAfAB9gH/AgoCFAIeAikCNgJJAmICgAKbAqwCrAKZAnkCVQI5Ai0CMQJBAlYCawKAApMCpwK4AscC0wLgAvQDFAM+A28DngPFA+ID9AP8A/oD6wPVA78DugPUBBQEdATgBT8FfgWXBZEFfQVqBWIFZwVzBYMFkQWeBagFsAW0BbQFrgWlBZsFkgWLBYkFigWSBZ8FtgXWBgMGOQZ0Bq0G2QbyBvcG7gbhBtsG4QbzBwkHHgctBzcHPwdLB1sHbgeCB5QHpQe0B8QH1AflB/UIBAgTCB8ILAg4CEYIVghqCH8IlQipCLoIyAjUCN8I6gj0CQEJEQknCT8JWAluCXwJhAmKCZEJmgmnCbIJuwnCCckJ0gngCfAKAAoQCh8KLwpCClcKagp6CoUKjgqWCp0KogqmCqgKrQq2CscK3ArvCvoK/Qr5CvAK5grcCtIKyAq+CrcKswqvCqoKoQqVCooKggp/Cn0KeApvCmIKVwpQCk8KTApKCkYKQAo6CjYKNwo7CkIKSApLCksKRwo/CjUKKAobCg4KBQn/Cf4J/woBCgQKBgoKCg4KEwoYCh0KIAokCisKNgpEClQKYwpyCoEKlAqwCtULAQstC1ULdQuQC6sLyQvoDAUMGQwjDCkMMgxHDGcMjAytDMMMzwzYDOIM8Q0DDRUNIw0wDUANVQ1vDYkNnA2oDa0Nsg27DccN1A3eDeUN6g3yDgAOEg4kDjIOOg48Dj0OPg4/DkAOQQ5CDkcOUg5jDnUOgg6GDn8OdQ5zDoAOoA7LDvAO/Q7jDqUOVA4KDeIN6w4hDnUOzA8TDz4PTQ9HDzYPIw8SDwcPAg8FDxAPHw8vDz0PSg9XD2oPhg+oD88P9BAWEDYQVRB3EJwQxBDqEQ4RLhFLEWYRgRGdEboR1hHwEggSGxItEkISYBKNEsgTBhM6E1UTUhM0EwcS2hK3Ep8SjhJ/EnESYxJZElUSVhJZElwSXxJjEmsSdBJ7EnoSaxJPEisSBhHmEc4RvhGxEaQRkxGAEW4RYRFcEV4RYRFfEVERNxEWEPoQ6BDlEOwQ9RD4EPIQ5xDaEM4QxRC5EKcQjxB1EF0QSxA9EDAQHhAFD+kPzA+0D6EPjg95D18PQQ8iDwYO7g7bDskOtg6iDo4Oew5sDmMOXg5cDloOVQ5KDjwOLA4gDhkOFw4VDg8OBA30DeUN3A3ZDdwN4A3hDd8N1w3MDb0NrA2ZDYkNfQ14DXgNeQ15DXcNfA2SDb8OBQ5XDqUO3Q72DvIO3Q7IDsAOxw7aDuwO8w7oDssOpQ5/DmEOTw5EDjgOIQ34DbkNaQ0RDLgMZgwfC+ILrguDC14LQQspCxYLBQr0CuAKxgqmCoEKVgooCfgJyQmcCXMJTQkoCQQI4Ai7CJYIcwhQCC0ICAfiB7oHkgdsB0gHJQcDBt4GtwaPBmkGRwYoBgwF8gXXBbwFoQWFBWYFQgUZBO4ExASfBH4EXwRABBwD9gPPA6oDiANmA0QDHgL2As8CqgKHAmUCQQIaAfIBzAGpAYkBagFIASEA+QDSAK8AjwBxAFEALwAM/+n/x/+m/4X/Y/8+/xr+9/7X/rn+m/58/lz+Ov4X/fT90v2x/ZP9d/1d/UH9Ivz+/Nj8svyP/G78Tvwu/A377PvO+7L7mft/+2L7Q/sj+wT65/rM+rH6lfp4+lz6Qvon+gz57fnK+aj5h/ls+VT5Pfkk+Qn47fjR+Lr4pviW+Ij4e/ht+F/4UPhA+C/4HfgM9/z37fff99L3xfe697D3qPeg95X3h/d492n3W/dO90L3Nvcq9x/3FfcM9wH28/bj9tP2x/bA9rz2ufay9qj2nvaZ9p32qva79sz22fbj9uv29PcA9wz3Fvce9yP3KPcu9zT3O/dC90n3Ufdb92X3bPdw93L3dfd694L3i/eT95r3n/em97D3vPfH98730vfV99r34vfs9/X3+/gC+Ar4F/gl+C/4Mvgx+DL4O/hP+Gn4fviI+IL4dfhr+Gv4d/iJ+Jn4pPir+LT4wfjQ+N344/ji+OD44vjr+Pf4//j6+Ob4yPin+Iv4efhw+G74cPh2+IH4jvid+Kr4s/i1+LH4qPib+I74hPh++H74g/iL+JT4nPik+K74uPjA+ML4vPit+Jr4iPh9+Hv4f/iF+Iv4kfib+Kr4v/jT+OL46Pjn+OL44vjm+Oz48/j7+Qv5Lvlo+bb6BPo6+kb6Ivnf+ZX5XflF+Un5W/lr+XL5bflg+Ur5LfkJ+Ob40vjb+Qf5Tvmc+dn59/n2+eP50PnJ+c752fnk+ez59Pn9+gn6EPoM+fn53fnA+av5pPmm+a35r/mq+Z75jfl4+WL5Sfkt+RD48PjO+Kj4ffhO+Bn34Pej92X3K/b69tn2x/a/9rv2tPao9pj2ivaF9ob2ifaJ9oL2dvZp9l/2WPZU9k72RfY59iz2IvYb9hX2D/YL9gf2BPYC9f/1+vX09e316fXo9ev17vXx9fT1+fYB9g72HfYu9j72TfZb9mj2dfaA9or2k/ac9qX2r/a59sL2xvbF9sH2uva09rD2r/av9q/2sPaz9rr2xfbT9uH26/bw9vL28fby9vb2+/cB9wX3CvcP9xf3Ivcu9zv3R/dT92D3bfd794j3k/ec96X3sPe898n31Pfa99f3zPe49573g/dq91j3UPdR91z3bPd/95b3sPfL9+b3/fgN+BX4F/gV+BT4FfgX+Bv4H/gk+C34OPhF+FL4Xfhl+Gv4cvh6+IX4kfic+KT4qvit+K/4sfiz+LX4tfi2+Lf4u/jC+Mz41/jh+Oj46vjn+OL43PjW+NH4zvjK+Mf4xvjH+M341fjg+Or48vj2+PX47/jj+NL4vPij+Ir4dfhn+GD4Yfho+HP4gPiO+Jz4qfi0+Lz4wPjB+MD4v/i/+MH4xPjJ+M741vje+Oj48vj8+Qb5D/ka+Sf5N/lK+V75c/mI+Zr5qfm2+cH5zfnb+ez5//oV+ir6PvpQ+mD6cPqA+o76nPqo+rP6v/rL+tn65/r2+wT7Evsf+yv7N/tC+0/7XPtr+3v7ivuX+6L7rPu1+777xvvM+9H71PvY+9z74Pvi++L74Pvc+9j71vvV+9X71PvS+8/7zPvJ+8b7wfu7+7X7r/ur+6j7pvuj+577mPuR+437iPuE+3/7ePty+277bvtw+3P7dvt3+3f7ePt7+377gPuD+4b7i/uS+5v7ovul+6L7m/uV+5P7l/ug+6v7tfu9+8X7zvvb++v7/PwK/BT8G/wg/CT8KPwu/Db8PvxI/FP8Xfxn/HP8f/yN/Jz8qvy3/ML8yvzR/Nf82/ze/N/84vzn/PD8/P0H/Q/9FP0W/Rf9G/0j/S/9PP1K/Vj9Z/12/Yb9lv2n/bj9yv3c/e39/P4I/hP+H/4u/kH+Wf5y/ov+pP68/tX+7v8G/x3/Mf9F/1v/c/+O/6r/xv/f//cADgAlAD4AVwBvAIcAnQCyAMkA4AD7ARkBOAFZAXoBmwG6AdYB7QH+AgkCEQIWAhgCEgIAAeIBwwG3AdgCNALHA3oEJwSuBP8FHgUgBRsFHAUjBSUFFgT1BMUEkARdBDAECgPpA84DuwOuA6cDowOiA6YDsAPCA9oD8QQBBAcEBQQBA/4EAQQKBBYEJwQ9BFoEfASgBL8E1wTpBPoFDgUlBT4FUQVaBVoFVQVUBVsFagV5BXwFbAVJBRgE5gS9BKIElQSQBI8EjgSNBI0EkASXBJ8EqQSyBLgEuASuBJcEdwRQBCsEDAP1A+IDzQOxA40DZAM9AxsC/wLmAs0CsgKYAoQCdwJwAmwCZQJbAkwCPgI0AjACLwItAigCHwIRAgIB8QHgAc4BuwGqAZ0BlwGZAaQBtAHGAdgB5QHvAfMB9QH3AfwCBgIRAhoCHQIVAgYB9QHpAegB8QICAhcCLgJFAlwCcwKIApwCsALJAu0DHwNdA58D2gQGBB8EKwQwBDEELgQnBB0EGAQkBEwElATxBVEFoAXQBd4F1QXCBbMFrwW4BcgF2gXtBf0GCQYRBhIGCgX6BeQFzwW+BbQFrwWtBbAFugXSBf0GOQZ/Br4G6Qb4Bu4G2gbMBtAG5wcJBykHQAdLB08HVQdhB3EHgweUB6IHsAe/B84H3AfoB/EH+ggFCBMIJAg2CEYIVghlCHUIiAibCK8IwQjRCN0I6QjzCP4JDAkeCTMJSglgCXEJfQmHCZIJngmsCbkJxAnMCdMJ3QnpCfgKBwoWCiUKNgpIClwKbwp/CosKlAqdCqUKqwquCq4KrwqzCr4KzgrgCu0K8wrxCuwK5QreCtcKzwrICsEKvAq3CrIKqgqeCpIKiAqDCoEKfgp4Cm4KYQpWCmEKYgpkCmYKZApfCloKWApaClwKXQpZClEKRQo6CjAKKgonCiQKIgofCh0KHAobChwKHQoeCh8KIAohCiEKIgolCiwKOgpOCmMKdwqHCpUKpwrCCugLFgtFC2sLhQuUC58Lqwu8C88L4gvzDAQMGgw2DFcMdgyODJ0MqAy1DMkM4wz+DRYNKA01DUMNVQ1rDYMNmA2pDbcNxg3UDeIN7Q30DfsOBQ4VDigOPA5JDlAOUQ5TDloOZA5uDnYOeQ56Dn8Oig6YDqMOow6WDoEOcQ5yDooOtA7fDvYO6Q61DmcOGQ3mDd4OAw5JDpgO3Q8KDx0PHA8PDv0O6w7dDtYO2g7qDwEPGw8wDz4PSQ9WD2wPjA+zD9oP/hAdEDsQXBCAEKYQyhDqEQcRJBFDEWURhxGnEcYR4xH9EhQSJhI2EkoSbhKoEvgTUBOZE74TtBOAEzgS9BLFEq8SqxKvErESrhKnEp4SkRKAEmsSVxJKEkkSUxJfEmQSWBI9EhoR+RHiEdQRyRG4EZ4RfRFdEUsRThFlEYgRpBGrEZQRYhEiEOcQwBCzELsQzRDdEOMQ4RDXEMwQwBCyEKAQixB3EGYQWBBMEDoQIRAAD90Pvw+pD5oPjg98D2IPQA8aDvcO2w7IDroOrg6gDo8Oew5mDlMORA46DjMOLA4iDhUOCA39DfYN8g3uDecN2w3MDb8NuA22DbkNvQ2/Db4NuQ2xDaQNlA2CDXMNag1pDWsNaA1dDUsNPQ1FDXANwA4oDpEO5Q8WDyQPHA8PDwkPDg8aDyQPJQ8YDv0O2Q6wDogOZQ5HDi4OEw3xDcINhw1BDPUMqwxmDCYL6wu0C4ILVQswCxEK9grcCr8Knwp9ClsKOQoXCfQJzgmlCXkJTQkjCPkI0QiqCIUIYwhECCcICAflB7wHkAdkBzsHGAb4BtgGtQaQBmsGSQYrBhAF9wXdBb8FngV7BVcFNAUQBOsExwSiBH8EXQQ7BBcD8QPLA6UDgQNeAzsDFwLzAtACrQKLAmoCRgIgAfoB1gG0AZUBdQFUAS8BCQDkAMIAogCDAGMAQAAd//r/2P+3/5b/dP9R/y7/Dv7v/tL+tf6W/nT+Uf4t/gr96P3H/aj9i/1v/VL9M/0R/O38yPyl/IT8ZfxF/CT8A/vk+8f7rPuR+3X7Vvs1+xT69frY+r36ovqH+mv6T/ox+hP58/nS+bP5lfl6+WH5Sfkv+RT4+fje+Mb4svih+JP4h/h7+G34XPhJ+DT4IPgP9/737/ff99D3w/e697P3rven9533jvd992z3XvdT90f3PPcv9yL3F/cM9wD28vbi9tL2xva/9rr2tvau9qP2mfaV9pn2pfa29sX20fba9uL26vb09v73B/cP9xb3Hfck9yn3Lvcx9zb3PvdI91L3W/dg92L3Zfdr93P3eveA94P3hveN95j3pvey97n3vPe998L3yvfV99/35vfr9/L3/fgK+BP4FvgU+BL4GPgs+Ej4Y/hz+HP4afhg+GD4avh6+In4k/iZ+KH4rfi++M742Pja+Nj42vjh+Ov48fjr+Nf4t/iU+HX4YPhV+FP4WPhi+HD4gPiN+Jb4mfiX+JL4i/iF+H34dPhs+Gb4Zvhv+H34jvie+Kr4sPix+Kz4o/iX+Ij4efhu+Gf4ZPhk+Gb4a/h1+IL4kvii+K74t/i++Mb4zvjS+M/4xvjB+M34+PlD+Z/57voT+f75ufle+RH46fjr+Qb5Jfk2+TT5JPkP+Pf42/i8+J/4kvii+NP5Gvli+ZP5o/mX+YH5b/ls+XP5f/mK+ZX5p/nA+dz57/nt+dX5r/mI+W75Z/ls+XT5dfls+Vn5Qvkr+Rb5APjo+Mz4qPh7+EX4BvfE94P3SPcU9ub2v/ad9oP2cfZo9mT2X/ZX9kv2P/Y39jT2NPY09i/2JfYY9g32A/X69fH15vXZ9c71x/XC9b/1u/W29bH1rvWu9a/1sPWu9av1qPWn9aj1q/Wu9bD1svW39b/1zPXc9ez1+vYH9hP2H/Ys9jr2RvZQ9ln2YfZp9nD2dfZ39nb2c/Zx9nH2dPZ49nv2fPZ99oH2ifaV9qP2r/a49rz2vfbA9sT2yvbR9tj23/bm9u72+PcB9wv3FPce9yr3OPdI91f3ZPdv93n3gveM95f3over97H3sfer9573jfd692j3WvdP90j3RPdE90r3Wfdx95L3tvfX9/L4A/gK+Ar4B/gD+AD4APgD+Av4Fvgi+C34Nvg8+EH4R/hP+Fn4Y/hu+Hb4ffiD+Ij4jviU+Jj4nPie+J/4ofik+Kn4sfi5+ML4yvjR+Nn44vjt+PX4+vj5+PH45PjV+Mb4vfi5+L34xvjR+N745/jq+OT41fi9+KD4gfhm+FD4Qvg7+Dz4QvhN+Fz4bfh++I74nPin+K/4tvi6+Lz4vfi++MH4xvjP+Nv46Pj1+QH5DfkZ+SX5MvlB+VL5Zfl5+Y75oPmw+b35yPnU+eL58/oG+hr6LvpB+lL6Yvpy+oL6kvqi+rH6vvrL+tj65vr0+wP7Evsg+yz7NvtA+0r7Vfti+3D7ffuI+5L7mvuj+6v7s/u7+8H7yPvO+9X72fvc+9v71/vT+9D70PvQ+9D7z/vL+8f7w/vA+777u/u2+6/7qPui+577mvuV+4/7iPuB+3v7d/tz+2/7a/tn+2X7ZPtl+2b7Z/tm+2X7ZPtj+2L7Yvtj+2b7bvt5+4X7j/uT+5H7jPuI+4j7jfuW+5/7p/us+7H7t/vC+8/73fvs+/n8BfwQ/Br8JPwt/Db8PvxG/E38Vvxf/Gn8dvyE/JX8pfyz/L/8yPzP/NT82fzb/N383/zj/Ov89fz//Qf9C/0M/Q39Ef0Z/ST9Mf09/Un9Vv1l/XX9h/2Z/ar9uv3J/df95f30/gL+Ev4k/jj+Tf5k/nv+kv6q/sH+2P7t/wH/FP8n/zz/VP9w/43/qf/D/9v/8gAJACEAOgBSAGoAggCbALUA0gDwARABLwFOAW4BjQGtAckB4QHyAf4CCAIRAhcCFAICAeIBvQGpAb4CDgKVA0AD6QRxBMME4gTgBNUE0QTYBOQE5gTZBLgEigRUBB8D8APLA7MDpQOhA6EDowOnA7ADwAPZA/YEEAQiBCoEKwQpBCoEMAQ5BEMEUARfBHUEjwSsBMYE2wTsBPsFDQUiBTQFPQU7BS8FJAUjBTIFTwVsBXsFcgVQBRwE5wS9BKUEnQSdBJ8EngSZBJYEmQSjBLMEwwTPBNEExQSqBIMEVQQmA/wD2wPBA6kDjgNrA0EDFALoAsECoQKHAnICYQJWAlACTwJMAkUCNAIZAfkB2AG8AaYBlAGCAWsBTwEvARAA9ADfANEAywDLANMA4gD4ARQBMgFQAWsBfgGJAYwBiQGEAYIBhgGQAZwBpwGsAawBqQGoAa0BuAHJAdsB7gICAhcCLQJFAl8CfQKmAuADKwOCA9kEIARNBF8EXwRZBFgEXgRnBG0EbgRxBIIErATwBUQFlQXQBewF6wXZBcYFvAXBBdEF6AYBBhkGLgY/BkkGSAY6BiMGCgXzBeQF2gXUBdAF0gXiBgcGPwaABroG3QbjBtYGxwbIBt8HCQc2B1cHZgdnB2QHZQdwB38HjgebB6UHsgfEB9gH6Qf0B/oH/ggFCBMIJgg7CE0IWwhnCHQIhAiYCKwIvwjPCN4I6wj4CQYJFQkmCTgJSwleCW4JfAmICZUJpQm3CccJ1QnfCeUJ7An1CgEKDgodCisKOgpKClsKbAp5CoUKjwqYCqEKqQqtCq4KrQqvCrcKwwrQCtoK3wrfCt0K2wraCtoK2ArTCs0KxwrBCrwKtgqsCqAKkwqKCoQKfwp6CnMKawpkCnwKgAqGCokKiAqDCn0KeAp1CnIKbApiClUKSAo/CjwKPQo/Cj8KOwo1Ci8KLQotCi0KLQoqCicKJgomCigKLAoyCjwKSgpcCm8KfgqHCo0KlgqrCs8LAAsyC1oLcQt3C3ULdQt/C5YLtgvZC/0MIQxCDF8MdwyHDJMMngyuDMUM4Qz9DRQNJQ0wDTsNSA1ZDWsNfQ2PDaANsg3EDdIN3Q3mDe8N/w4UDioOPQ5IDkwOTQ5UDmIOdg6KDpoOow6qDrUOwg7PDtIOyA6wDpUOhQ6MDqgOzg7oDuQOuw51DigN7g3bDfQOLA5xDq4O1g7nDuYO3Q7QDsIOtg6uDq8OvA7XDvgPFw8uDz0PRw9XD3EPlA+8D+EQARAcEDkQWhB/EKMQwxDfEPkRFxE7EWERhxGpEccR4xH/EhkSLxJAElIScBKkEvATRRONE7ATohNrEyQS5xLIEsoS5RMKEy0TRhNSE0wTMhMCEsISfxJKEiwSJhItEjISKhIWEf8R7xHtEfIR8RHeEbQRfhFOETkRSRF6EbcR5hHyEdERixE0EOUQshCgEKkQvhDRENcQ0hDGELgQrBCfEJEQgBBvEF4QTxBAEC0QFA/3D9kPvw+sD54PkA96D1oPMg8GDt4Ovw6sDqMOoA6cDpUOhQ5wDlYOPg4oDhgOCg3+DfEN5Q3bDdUN0w3RDc0NxA25Da8NqQ2mDaUNpA2iDaENoA2fDZsNkQ2CDXINZw1jDWUNZQ1eDU8NQA1CDWINpQ4ADmEOtQ7wDxMPKA87D08PZA9zD3UPZw9MDygO/g7SDqMOdA5HDh0N+Q3XDbUNjw1jDTMNAQzNDJUMWgwaC9cLlgtcCykK/ArPCqAKcApAChgJ+AnhCcwJtQmXCXMJTAkjCPoI0QimCHsIUwgwCBMH+AfcB7kHkAdiBzcHEAbvBtEGsQaOBmkGRQYmBgwF8wXZBbkFkwVsBUYFJAUEBOQEwwSfBHoEVQQxBA0D6gPGA6EDfANYAzUDEwLxAtACrwKOAmwCSQIlAgIB4AHAAaEBggFhAUABHQD7ANoAugCZAHYAUgAuAAv/6f/I/6f/hv9k/0T/Jf8H/un+yf6m/oL+Xv47/hr9+/3c/b39n/2A/WD9QP0e/Pz82fy3/Jb8d/xY/Dj8GPv5+9v7v/uj+4f7aPtI+yf7CPrr+tD6t/qc+n/6YPo/+h35/Pne+cH5pfmJ+W75U/k4+R35Avjo+M/4ufim+Jf4jPiA+HL4YfhN+Dn4JvgU+AT38/fh98/3wfe497X3tPev96T3k/eA9273X/dV90v3P/cy9yT3F/cM9wD28/bj9tX2yfbA9rr2tPar9qD2lfaQ9pP2nfas9rv2x/bR9tn24fbo9u/29fb89wX3D/cY9x/3I/ck9yX3K/cz9z73R/dM91D3Vfdc92T3a/dv92/3b/dz9333iveW9533ofej96n3sve998b3zPfQ99f34vfw9/z4APf99/r3//gR+C74Svhc+F/4WPhQ+FD4W/hs+Hz4hviM+JP4n/iw+MD4y/jN+Mv4y/jQ+Nr44fje+Mv4rfiJ+Gj4UfhE+ET4TPhb+G34fviJ+Iz4ifiC+H34fPh7+Hj4b/hh+FX4UPhY+Gn4fviO+JX4kviK+IH4evh2+HL4bfhn+GD4WvhX+Fb4WPhb+F/4Yvhn+G34efiK+J74r/i1+K74nviU+KX42vkw+Y750vnh+bP5XPj/+L/4r/jG+Oz5BvkF+O34zPiu+Jf4g/ht+Fn4VPhr+KD46Pkq+VL5V/lB+SX5EvkR+Rv5KPk0+UH5V/l4+Z75ufm/+av5hflc+T75Mvkx+TL5LPkb+QT46vjS+L34qfiU+Hr4V/gm9+f3nPdM9wL2xfaZ9nr2YvZM9jf2JPYW9g72CPYB9ff16/Xg9dr11/XW9dT1z/XG9bz1sfWn9Zv1jfWA9Xb1cfVv9W/1bvVq9WX1YfVh9WP1ZfVl9WP1YPVf9WH1ZvVs9XH1c/V29Xv1hPWQ9Z31qPWx9br1xPXR9eH18fX/9gr2EvYa9iH2J/Yr9i72L/Yw9jP2OPY+9kL2RPZE9kb2TPZW9mL2bvZ49n/2g/aI9o/2l/ag9qj2r/a39r/2x/bQ9tn24vbs9vf3BPcS9yL3Mfc/90v3Vfdd92P3avdw93b3fPeB94P3g/d/93n3cfdn91j3R/c09yX3IPco9z73YPeH96z3yvfe9+j36/fr9+r37Pfw9/b3/fgE+An4DfgR+Bb4Hfgo+DP4PvhH+E/4Vvhc+GP4a/hy+Hr4gfiG+Iv4j/iT+Jb4mvie+KT4rPi2+MP40fjh+PH4/fkD+QL4+vjt+N740PjF+MD4v/jD+Mn40PjU+NT4zfjA+K34lfh8+GT4T/g8+C34I/ge+CD4J/gz+EP4V/hs+IH4k/ih+Kz4svi2+Lv4wfjJ+NT44Pju+P35DPkb+Sn5N/lD+VD5Xvlu+X/5kfmg+a75u/nI+df56Pn8+hD6JPo2+kX6VPpk+nX6h/qa+qz6vfrM+tn65vr0+wP7Evsh+y77OPtC+0v7Vvth+237d/t/+4b7jPuS+5r7ovuq+7P7u/vE+8z70vvU+9L7zvvJ+8b7xvvI+8r7yfvF+8D7u/u4+7b7s/uv+6n7ovuc+5b7kvuN+4f7gPt5+3P7cPtu+237a/to+2T7Yftf+177Xftc+1r7WPtV+1L7T/tO+1H7WPti+277ePt9+377fPt7+3z7gfuI+4/7lvud+6T7q/u0+737xvvQ+9v76fv4/An8GPwl/C/8N/w//Eb8TfxV/F78avx5/Ir8m/yr/Lr8xfzO/NT81vzW/NT80/zV/Nv85vzy/Pv9AP0C/QP9Bv0N/Rf9I/0u/Tr9Rv1V/Wf9ev2N/Z39q/23/cT90/3j/fb+Cv4e/jP+R/5a/m7+gf6V/qn+vP7P/uH+8/8F/xv/NP9R/3D/jf+n/77/1f/tAAYAIQA8AFYAbwCIAKQAwgDiAQMBIgFAAV0BfAGbAbgB0QHjAfAB+wIFAg4CDwIBAeEBuQGcAaEB2wJNAuYDiQQYBHwErwS8BLUEqgSjBKIEoQSbBIoEbgRGBBkD6gPBA6MDkwOPA5IDmQOiA68DwwPeBAAEIAQ7BE0EVwRdBGMEaQRwBHUEewSEBJIEpwS+BNUE6AT2BQMFEQUfBSkFKgUgBRAFAgUBBRIFLwVMBVsFUgUwBQAE0AStBJwEmQSeBKIEoQSdBJsEnwSrBLoEyATMBMEEpgR9BEsEFwPmA7wDmQN6A1oDNgMMAt4CrgKCAloCOgIhAhACCAIKAhQCIAInAiICCwHjAa8BdgFAARMA7gDPALIAlAB2AFkAQwA1ADMAOwBKAF4AdQCOAKgAxADfAPcBCgEVARgBGQEbASUBOAFQAWoBfQGGAYYBgQF+AX8BhwGUAaIBrwG7AcgB2AHqAgICJQJYAqAC/gNqA9UELQRmBHwEewRzBHIEfgSSBKQErASuBLMEyQT4BTwFhwXFBegF7QXdBcgFvAW9Bc0F5AX9BhYGLgZEBlQGWQZSBkAGKAYSBgQF+wX3BfQF9QX/BhkGQQZxBpoGsQa2BrQGugbVBwUHPQdrB4QHhgd7B3AHcAd7B4kHlAebB6AHqwe/B9kH8ggDCAwIEQgWCCIIMwhECFQIYAhsCHoIjAigCLIIwgjPCNsI6Aj4CQoJHAkuCT8JTwldCWsJdwmDCZEJoQm0CcYJ1QngCeYJ7An0Cf8KDgoeCi4KPApKClYKYgptCnYKfgqFCo0KlAqaCp0KoQqnCrEKvArICs8K0wrTCtQK2ArfCuYK6ArmCt4K1QrNCsgKxAq+CrMKpgqZCo4KhwqCCn4Kewp6CpAKkQqTCpQKkwqQCo0KiwqJCoUKfQpxCmMKWApTClMKVgpVCk4KQgo2Ci8KMAo0CjkKOQo2CjEKMgo4CkQKTwpZCl8KZAprCnMKegp9Cn4KgwqTCrQK4gsTCzoLTgtQC0oLSQtZC3sLqgvcDAoMLwxLDF8Mbwx9DIkMmAyqDL8M1gzsDP4NDA0YDSUNNA1EDVMNYg1xDYENkw2mDbcNxQ3RDd4N7g4DDhgOKQ40DjoOQA5MDl4OdQ6LDp4OrQ68Ds0O3w7rDusO3Q7FDrAOqQ61Ds0O4w7iDsEOgw44DfoN3g3qDhgOVQ6MDq8Oug61DqoOoA6ZDpQOjw6PDpcOqw7LDvAPDw8lDzMPPw9RD24Pkw+4D9oP9RAPECwQThB0EJYQtBDOEOoRDRE2EWERiBGoEcMR3RH8EhwSORJOEl0ScBKREsMS/xMzE0oTPRMUEuQSwhK9EtgTCRNGE4MTuhPjE/IT3ROgE0MS2RJ7EjoSGRIPEgoSARHzEewR9BILEiYSLxIXEd0RkRFPETERQRF4EbwR7hH4EdMRihEzEOkQvBCvELkQyRDREMwQuhCkEJAQgRB1EGsQXRBOED4QMBAjEBYQBw/0D98Pyg+1D58PhQ9kDz0PEQ7mDsAOpQ6WDpIOlQ6ZDpgOjg56Dl8OQg4nDg8N/A3qDdoNyw3ADbsNuw29Db4Nug2yDaoNog2eDZoNlw2TDZENkg2WDZgNlg2MDX4NcQ1qDWoNbQ1rDWMNWQ1XDWcNjg3KDg4OTw6JDr0O8Q8pD2IPkQ+sD6wPkg9oDzYPAw7SDqIOcA49Dg0N4w3BDaMNiA1tDU8NLQ0GDNYMmgxTDAYLvAt8C0cLGgruCrkKfQo8CgEJ0gmxCZoJhQltCVEJMgkUCPYI1givCIIIUwgmCAEH5AfLB68HjAdiBzYHDQbpBsoGqgaIBmIGPQYdBgIF6gXRBbMFjgVnBUAFHgT/BOAEvwSaBHMESwQmBAQD4wPCA6ADfQNaAzkDGAL4AtgCtgKTAnACTQIrAgoB6gHKAaoBigFrAUsBLAENAO4AzQCrAIcAYgA9ABj/9f/S/7D/j/9v/1H/M/8V/vX+0f6r/oT+X/4+/iH+B/3s/c/9sP2P/W39S/0p/Qf85vzF/KX8hvxo/En8KvwL++37z/uy+5b7ePtZ+zn7G/r/+uX6zPqy+pT6c/pP+iv6Cfnr+dD5tfmY+Xv5XvlB+Sb5DPjy+Nn4wvit+Jz4jfh/+G/4XvhL+Dj4KPgZ+An39vfg98v3u/e097P3tPex96b3k/d+92v3XfdT90r3QPcy9yP3FfcJ9v328fbj9tX2yPa+9rb2rvak9pn2j/aJ9ov2lPah9q/2vPbI9tH21/bc9t/24/bp9vP2//cL9xP3FvcV9xT3Fvcc9yX3LPcy9zb3O/dC90r3UfdV91b3VvdZ92D3a/d093v3gPeE94r3lPed96T3qPet97X3xPfW9+T36ffm9+P35vf3+BL4LvhB+EX4P/g5+Dz4Svhd+G/4e/iD+Ir4lfil+LP4u/i6+LX4svi2+MH4zPjN+MH4p/iE+GL4Rfg0+DD4OPhI+F34b/h5+Hr4c/hs+Gn4bPhw+G/4ZfhT+EL4Ovg/+E/4YPhq+Gj4XfhQ+Ej4SfhQ+Fj4XPha+FT4T/hL+En4R/hE+D74OPg0+Df4Q/hV+Gr4evh++Hf4bPhr+Ib4wvkW+Wn5nfmb+WX5EfjD+Jf4l/iy+ND41/jC+Jr4cvhW+EX4N/gk+BL4Dfgl+Fz4pvjp+Q/5EPj3+Nf4xPjD+M743Pjl+O34/fkY+Tz5W/lq+WL5R/kl+Qb48Pji+Nb4xvix+Jr4gvhs+Ff4Qvgs+BL37/fA94H3NPbh9pX2WfYx9hr2DPX99ev12PXI9bz1tPWs9aH1lPWH9X71e/V79Xv1ePVx9Wj1X/VV9Ur1PvUy9Sn1JfUk9Sb1J/Ul9SH1HfUb9Rv1G/Ua9Rb1EvUS9Rf1IPUr9TP1OPU69Tz1QvVK9VL1WvVf9WX1bPV59Yr1nPWu9bv1xvXO9dX13PXi9ej17fXx9fb1+/YA9gT2B/YI9gr2D/YX9iL2LvY49kH2SfZQ9ln2YvZq9nL2efaA9of2kPaa9qX2r/a59sT2z/bb9un29/cG9xX3Ifcq9zD3M/c29zv3QvdL91X3Xvdm92z3cPdw92n3W/dH9y73GfcN9w/3Hvc591j3ePeU96r3u/fI99P33Pfj9+j36vfq9+n36ffr9/H3+vgG+BL4Hfgn+C/4Nvg9+ET4S/hR+Ff4Xfhk+Gz4dPh7+IL4h/iN+JT4nPik+K34t/jA+Mr41Pje+Ob47Pjw+PH47/jr+Ob43/jY+NH4zPjI+Mb4xPjB+Lz4tPin+Jb4gvhr+FP4O/gl+BP4B/gC+AX4EPgi+Dn4Ufho+H34j/if+K34u/jH+NP43vjr+Pn5Cvkc+S75PvlM+Vf5Yflr+XX5gvmP+Zz5qvm6+cv53/n0+gn6Hfou+j36S/pZ+mn6e/qO+qD6svrC+tD63vrs+vv7DPsc+yr7NvtA+0v7Vfth+2v7dPt7+3/7hPuJ+5D7l/uf+6f7r/u3+7/7xfvH+8X7v/u5+7X7tPu2+7n7uvu4+7T7r/us+6n7p/uk+5/7mvuV+5H7jfuI+4L7fPt1+3L7cPtx+3L7cvtv+2r7Zftg+1z7WvtY+1X7UvtO+0n7RftE+0b7TPtU+137Zftr+237bvtv+3D7c/t4+3/7h/uR+5v7pfuu+7T7ufu/+8r72Pvq+/38Dfwa/CP8K/wy/Dr8QvxK/FL8XPxo/Hb8iPya/Kz8u/zH/M780PzN/Mj8xPzF/Mv81/zk/O/89vz3/Pf8+fz+/Qj9E/0f/Sv9OP1H/Vr9bf1//ZD9nf2p/bX9xP3V/ej9/P4R/ib+Of5M/l3+bf59/o7+n/6x/sL+1P7n/v3/GP83/1b/c/+N/6X/u//V//IAEgAxAE8AaQCBAJsAtwDVAPQBEgEvAUsBaAGHAaUBvwHSAeEB7AH3AgECBQH9AeUBwAGfAZUBtAIEAn8DEAOgBBcEaQSTBJwEjgR0BFsESARABD0EOgQvBBcD8QPGA58DhgN9A4IDjwOgA7QDzAPrBA8ENQRXBHIEhASQBJcEnQSfBKAEoQSkBK0EugTMBN4E7QT6BQQFDgUXBRsFFwUMBPwE7wTsBPQFAwUQBREFAATgBLkElQR+BHUEdgR7BH8EfwR9BH0EgASGBIwEjQSDBGwESQQcA+oDtwOIA10DNQMOAuUCugKPAmUCQAIhAggB9AHmAeAB4gHuAgMCHAIxAjgCKwIGAcsBhAE7APwAzQCxAKYApgCsALYAxADXAO0BAwEUARwBGQEOAQEA9wDzAPUA+QD8AP8BBQEUATABWAGEAaoBwAHBAbEBlwF9AWoBXwFbAVsBXAFcAV0BYgFrAX0BnQHPAhoCfwL1A28D2gQnBFIEYgRlBGwEfgSZBLYEygTVBN4E8gUZBVQFlgXPBfIF+wXwBeAF1wXbBeoF/wYUBiYGNQZCBk0GUAZJBjkGJQYTBgkGBwYKBg0GEQYYBiYGOgZSBmYGcwZ7BooGqQbdBx0HWweGB5YHjweBB3gHfAeKB5kHoQeiB6IHqQe8B9gH9AgKCBkIIggsCDcIRAhQCFoIYwhwCIEIlgirCLwIxwjNCNUI4AjwCQIJFQkmCTQJQglQCV0JaAl0CYEJjwmgCbEJvwnJCdAJ1wniCfEKBAoYCikKNwpBCkoKUwpbCmMKaQpuCnIKdwp9CoQKjgqZCqcKtArACscKywrOCtMK3grrCvgK/gr7CvEK5ArZCtMKzwrMCsUKugqtCqIKmgqWCpQKkgqRCp0KlwqUCpIKkgqTCpQKlQqTCo4KhAp2CmkKYApeCmAKYQpdClAKQQo1CjIKOQpECkwKTgpKCkkKUAphCnYKhwqOCogKfApzCnAKdQp8CoQKjQqdCrYK2Qr/Cx0LLQsvCy4LNQtOC3kLrAvbC/4MEgwcDCMMLQw9DFIMaQyADJQMpQy1DMQM1QznDP4NFQ0sDT8NTw1dDWwNfg2SDacNug3KDdgN5g32DgYOFw4mDjMOQA5NDl0ObA58DosOmw6sDr8Ozw7XDtQOyQ69DrgOwQ7TDuUO5g7KDpMOTA4KDeQN5A4HDj0OcQ6UDp4OlQ6FDncOcQ5xDnMOdg57DocOng6+DuAO/Q8SDyAPLw9FD2MPhg+oD8YP4A/6EBkQPhBiEIMQnxC5ENgRABEvEV4RhhGjEboR0xHzEhkSPhJZEmoSdxKHEqESwhLeEuoS4hLMErQSqBKwEskS8RMkE2ATohPhFA0UEhPnE5ATIhK3EmQSLxIREf4R7hHkEeoSBhIzElwSahJLEgERohFOER4RHxFFEXkRnxGkEYYRTxEUEOUQzhDLENMQ2BDRELwQnRB+EGQQUxBHED0QMRAlEBkQEBAKEAcQAQ/4D+gP0A+zD48PZw89DxIO6g7HDqwOmw6TDpMOlw6bDpoOkQ5+DmUOSQ4vDhgOAw3tDdYNvw2uDaYNpg2rDbANrw2oDZ8Nlw2TDZINkg2SDZENkQ2UDZgNmg2WDY0Ngg16DXcNeA14DXQNbQ1oDW0NgA2gDcoN+A4qDmIOow7tDzcPdA+WD5YPeA9GDw4O2Q6pDn0OUQ4kDfkN0A2tDYwNbQ1ODS4NCgziDK4MbgwhC9ALiAtTCzMLIwsTCvUKwQp7Ci4J5wmtCYAJXAk7CRsI/gjnCNUIxAirCIgIWggoB/sH1we7B6EHggddBzIHCAbhBsAGoAaABlwGOAYWBfoF4QXJBa0FjAVnBUIFHgT+BN4EuwSWBG8ERwQiBAAD3wO/A58DfwNgA0MDJQMHAuUCwgKdAnkCVwI2AhUB9QHTAbEBjwFvAVEBMwEWAPcA1wC0AJAAawBFACD//P/Y/7X/lP91/1j/O/8e/v3+2P6v/of+Yv5D/in+Ev37/eD9wv2f/Xz9WP02/RX89fzV/LX8lvx4/Fr8PPwd+/773vu/+6D7gvtj+0X7KPsM+vL62fq++qD6fvpa+jf6Ffn4+dz5wvmm+Yj5aflL+S/5FPj7+OP4zPi3+KT4kviA+G34WvhH+Df4Kfgc+Az39/fe98b3tPes96z3rves96H3jvd592b3WPdP90b3O/ct9x73EPcD9vj27Pbe9tD2wva49rD2qPaf9pT2i/aG9ob2jfaY9qX2sfa89sT2yvbN9s/20fbX9uD27Pb49wH3BPcC9wD3AfcF9wz3EvcX9xr3Hfci9yj3L/c19zj3O/c/90b3TvdV91n3Xfdh92j3cfd593/3gveI95P3pfe598n3zvfL98X3x/fW9/D4DPgf+Cb4Jfgk+Cv4O/hQ+GP4cPh3+H74ifiY+KX4q/ip+KH4nPie+Kn4tvi9+Lb4oviB+Fz4Ofgg+BP4Ffgj+Df4S/hX+Fr4VfhR+FD4Vfha+Fj4Tfg6+Cn4IPgk+C/4Ovg8+DP4Jfga+Bn4Ivgx+D34QvhA+Dv4Nvgz+DD4LPgl+Bz4FvgU+Bf4Hvgm+Cz4L/gt+Cr4LPg7+F34lPjV+RD5MPkq+QH4yfiX+H/4gviR+Jn4i/hp+ED4HvgL+AH39ffh98r3wPfU+An4UfiV+Lz4wPip+Iz4evh7+If4k/iX+Jb4mPil+L342Pjt+PH45PjM+K/4k/h6+GL4Tfg5+Cf4F/gG9/L32ve+9533d/dH9wr2wvZ09iz19fXR9b31sfWl9Zb1hfV29Wz1ZPVb9U71QPUz9Sv1KfUq9Sr1JfUc9RD1BvT99Pf08PTo9OH03fTb9N304PTh9OD03vTc9Nr01/TT9M70yvTK9M/02vTm9PH09/T59Pv0/vUE9Qv1EfUW9Rv1IvUt9T31T/Vh9W/1efWA9Yf1jfWV9Z31pvWt9bX1vPXB9cb1yfXL9c/11PXc9eb18fX79gX2DvYY9iH2KfYx9jj2P/ZG9k72V/Zh9mz2d/aD9o72mfaj9q72uvbI9tf25fby9vv3AfcG9wv3Evca9yP3Lfc390H3TfdY92D3YPdY90f3Mfcc9wz3BvcL9xn3LvdG92D3eveR96X3tffB98j3y/fM98z3zffR99f34Pfr9/X3//gI+BH4Gvgi+Cn4L/gy+DX4Ofg/+Ej4Uvhd+Gj4cvh8+Ib4j/iX+J34ofik+Kb4qviy+L34yvjZ+Oj49Pj8+QD4/fj2+Oz44fjZ+NT41PjX+Nr42/jY+M/4wPit+Jf4fvhk+Ej4LvgY+Af3//gA+An4F/gp+D74Vfhu+If4n/i0+MX40vjf+Ov4+/kN+SD5M/lE+VL5Xvlp+XX5gPmN+Zr5qPm3+cj52/nu+gH6FPom+jb6RPpT+mL6cvqC+pP6o/qy+sH6z/rf+u/6//sP+x77Kvs1+0D7S/tX+2L7bPtz+3n7fvuE+4r7kPuW+5z7ofun+637svu0+7L7rPul+6D7nfuf+6L7pPul+6P7n/uc+5n7l/uU+5H7jvuL+4j7hfuB+3z7dftv+2z7a/tt+3D7cftw+2z7Z/ti+177W/tY+1T7UPtL+0b7QvtB+0P7SPtO+1T7Wvte+2L7ZPtm+2f7aPtr+3D7ePuE+5D7nPuk+6r7sPu4+8T71fvo+/r8CPwR/Bn8Ifwq/DX8P/xH/E38U/xa/Gb8dfyI/Jv8rfy7/MT8x/zF/MH8vfy9/MP8zfzY/OD85fzl/OT85vzr/PX9Av0Q/R/9L/1A/VL9Zf13/Yf9lf2i/a/9vP3K/dn96v38/hH+Jv45/kv+W/5p/nj+iP6a/qz+v/7S/uj/Af8e/z3/Wv91/4z/pP/A/+AABAAoAEgAZAB8AJQArgDKAOgBBAEeATgBUwFwAY4BqQG/Ac8B3AHoAfQB+wH6AesB0AGzAaEBqgHWAiYClAMRA4wD9QRBBGYEaARNBCcEBgP3A/wEDQQbBBYD+wPPA6ADfANsA3IDiAOlA8YD6QQPBDgEYQSFBKEEswS9BMIExQTHBMkEygTNBNEE2ATfBOcE7gT0BPkE/QT/BP0E9QTpBNkEzATDBL4EuQSwBKAEhgRpBE0ENgQoBCAEHQQcBBsEGwQbBBwEHAQYBA8EAAPrA88DrgOIA14DMgMGAtkCrAKAAlUCLgIOAfcB6gHoAe4B+gIJAhgCKgI/AlkCdwKUAqkCrQKaAmwCKQHgAZ4BdAFpAX0BqwHoAiwCcQKwAuUDCAMSAv0CzQKJAkAB/gHOAa8BngGVAZMBmgGvAdQCBwI+AmoCgQJ8AlwCKgHxAbkBiAFgAUABKAEXAQ0BCwESASIBQAFxAboCGgKOAwgDeQPSBA4ELwRBBE8EZQSDBKYExgTiBPwFGwVFBXoFsQXgBfsGAwX8BfQF8wX/BhMGKQY6BkMGRgZFBkEGPAYyBiMGFAYIBgQGCAYRBhwGJQYrBjAGNQY6Bj4GQwZOBmcGkwbPBxEHTAdyB4IHgweAB4UHlAenB7YHvAe5B7YHugfHB9wH8ggHCBcIJwg2CEYIUwhbCGEIZwhyCIUInAixCMEIyQjNCNII2gjnCPYJAwkOCRkJJgk1CUUJVAlhCW0JegmHCZYJowmtCbUJvgnKCd0J8goIChkKJgovCjYKPgpGCk0KUwpXClkKXQpjCm0KeQqGCpQKogqsCrMKuQrBCswK3ArvCv8LCAsHCv0K7wrjCtsK1wrTCs0KxAq5CrEKrQqrCqoKqAqjCqcKogqgCqEKpAqlCqQKngqVCocKdwpnClsKWApbCmMKaQpoCmAKVwpSClYKYQpsCnEKbgpnCmYKcgqLCqcKuAq2CqIKhQpuCmcKcQqFCpoKqgq4CscK2wrxCwULEgsaCyILMgtQC3YLnAu3C8ELvgu2C7QLvgvVC/QMEwwvDEQMVQxlDHcMjQypDMkM6g0JDSINNQ1FDVQNZQ17DZMNqg2+Dc4N2w3oDfgODQ4jDjkOSw5ZDmEOaA5vDnkOhg6TDp4OoQ6cDpMOjQ6RDqMOvQ7VDt0OyQ6ZDlUOEw3mDdoN8g4hDlUOfA6MDoYOcw5fDlMOUA5UDloOYQ5oDnYOjA6oDsYO4Q73DwoPHw85D1kPeg+YD7MPzA/oEAgQLRBQEG8QiRCjEMQQ7xEfEU8RdRGREagRwRHiEgoSMxJWEm0SfRKMEp0SrxK+EsQSvxK2EqwSpxKnEqkSrRK7EtgTChNKE4QTohOWE2ATDRK2EmwSNhIREfQR4BHZEesSFRJOEn0ShxJgEgwRohFBEQAQ6RDzEQsRHhEgERMQ/hDrEOIQ4hDmEOcQ3hDIEKgQhRBkEEoQNxApEB0QEhAIEAIP/g//EAAP/Q/0D+EPww+dD3EPQg8UDu0Ozg64DqoOpA6iDqQOpg6lDp8Okg59DmUOTg45DicOFA39DeENwg2nDZcNkw2XDZwNnQ2XDY4Nhw2HDYwNlA2ZDZsNmw2aDZsNnQ2dDZkNkw2MDYcNhA2CDX8NeQ11DXYNgA2UDbEN1A39DiwOZA6hDt0PDQ8mDyMPCA7eDrAOhw5jDkMOJA4DDeANuw2WDW4NRA0XDOkMuwyJDFAMCQu1C14LEwrjCtQK3grvCvEK1gqcCk4J/gm3CX8JUAkkCPkI0AiwCJwIkAiGCHMIUggoB/kH0AeuB5AHcwdQBycG/QbVBrMGlQZ4BlkGOAYWBfYF2QW/BaQFhQVjBT8FGwT4BNYEtASRBG4ESgQmBAMD4QPAA58DgQNlA0oDLwMRAvACzQKoAoUCYwJDAiIB/wHcAbkBlwF3AVkBPAEeAP4A3AC4AJMAbQBIACQAAP/d/7z/nf9//2P/Rv8p/wj+5P6+/pj+dP5W/jz+Jf4N/fL90/2v/Yv9Z/1G/Sb9B/zn/Mf8qPyJ/Gv8Tfwv/A777PvK+6r7jPtv+1L7Nvsa+v364frE+qX6hPpi+kD6H/oB+eb5y/mv+ZL5c/lU+TX5Gfj/+Of40vi/+K34m/iH+HL4XfhL+Dz4MPgj+BL3+/ff98X3sfeo96b3p/ek95n3h/dz92L3VfdM90L3N/co9xn3C/b+9vP25vbY9sr2vva19q32pvae9pP2ivaF9oT2ivaT9p32pvau9rT2ufa89r32v/bE9sz21vbh9ur27vbu9u727/bz9vn3APcE9wf3CfcL9w/3FPcZ9x33Ivco9y73NPc49zr3PfdB90n3UvdZ91/3Y/dp93b3iPec96v3sPer96X3pvez98v35vf8+An4D/gU+B/4MPhD+FP4XPhh+Gf4c/iC+JD4mPiY+JL4jfiO+Jf4pPis+Kr4mvh9+Fj4MfgP9/r38/f7+Az4IPgv+Db4N/g2+Df4PPg++Dr4Lvgc+Az4BvgJ+BL4GPgW+Az4APf69/74CvgY+CD4Ifgd+Bj4FfgR+Av4Aff39/D38ff4+AD4Avf59+r33PfY9+H3+PgY+Dv4XPh4+Iv4lPiR+IT4c/hl+F74Xfha+Ez4MfgN9+v30/fH97/3sveb94T3eveL97n3+Pgz+FX4WfhH+DL4KPgt+Dr4RfhF+Dz4Mvgw+Dn4SfhZ+GH4XPhM+DX4GvgA9+j31PfF97v3svel95D3cvdM9yH28fa89oD2PfX69b31j/Vx9V/1U/VG9Tf1KfUd9RX1EPUI9Pz07/Tk9N/04PTj9OL02fTK9Ln0q/Sk9KH0n/Sd9Jj0k/SQ9JH0lfSa9J30nvSe9Jz0mfSU9I/0ivSJ9I30lfSg9Kn0sPS09Lb0uvS/9Mf0zvTU9Nn04PTp9Pb1BfUV9SL1LPUz9Tj1PvVF9U71WPVj9W71ePV/9YX1ivWO9ZT1m/Wj9az1tfW+9cf10fXa9eP17PX09fz2BPYN9hb2H/Yo9jH2PPZH9lT2YPZr9nb2gfaN9pv2qfa39sT2zvbX9t/25/bv9vf2/vcF9w/3G/cq9zr3RvdM90n3Pvcu9x33DvcE9wL3B/cS9yL3NfdI91v3a/d694f3k/ee96n3s/e898T3zPfT99v34/fs9/X3//gI+BD4FfgZ+Bz4H/gk+Cz4N/hC+E74Wfhj+G74ePiB+Ij4jviR+JT4l/id+KT4rvi7+Mn42Pjn+PT4/fkB+QD4/Pj3+PX49fj4+Pz4/vj7+Pb47fjj+Nf4y/i6+Kb4jvh0+Fv4Rvg1+Cn4I/gh+CX4L/hA+Fj4cviM+KL4s/jB+Mz42fjn+Pn5Dfkh+Tb5S/lg+XT5h/mY+af5tfnC+c/53fns+fv6DPoe+i/6P/pP+l76bPp5+oj6l/qm+rX6xPrS+uH68Pr++wv7Fvsg+yr7NftB+077Wvtk+2z7dPt8+4P7ifuO+5H7k/uW+5n7nfuf+577mvuU+477ivuK+4z7jvuQ+5D7jfuK+4f7hPuB+3/7fPt6+3j7d/t0+2/7avtk+2D7Xvte+2D7Yvti+2L7X/td+1r7V/tU+1D7S/tG+0L7QPs/+0H7RftI+0z7UPtU+1n7Xftf+2H7Yfti+2X7a/t1+4D7ivuT+5r7ovut+7370Pvj+/L7/fwG/A/8Gvwp/Dj8RfxO/FP8Vvxa/GP8b/yA/JD8oPyt/Lb8vPy9/L38u/y7/L38wfzF/Mf8x/zH/Mj8zPzV/OL88v0E/Rf9K/0//VP9Zv14/Yj9mP2m/bP9vv3I/dH93f3t/gD+F/4s/j/+Tv5c/mr+e/6O/qH+s/7E/tb+6/8E/yD/Pf9Z/3P/jf+q/8v/8AAVADcAVQBvAIgAowC/ANwA9gEPASYBPgFZAXUBkQGpAb0BzgHdAesB9AH2Ae4B3AHHAbYBsQHAAeUCIwJ5AuIDUgO7BAoENAQ3BB8D/gPoA+gD+QQNBBID/gPTA58DdANeA2IDfQOlA9QEBQQ3BGgElQS5BNEE3gTiBOIE5ATpBPEE+gUBBQQFBAUABPoE8wTrBOME2wTQBMMEsgSgBI8EfwRxBGQEUwQ9BCMEBgPrA9MDwAOwA6ADkQOFA38DfgOCA4UDggN1A2ADRQMqAw8C9QLaAroClQJrAkECGQH3Ad0BzAHGAcwB4AIBAi4CYQKVAsQC6QMFAxoDLQNCA1YDYwNgA0cDGALdAqYChgKJArMC/gNeA8cELwSNBNgFBQUMBOgEnQQ3A8sDagMhAvEC1gLHAsECwgLRAvEDIQNZA4wDrQOzA5oDZQMaAsMCaQIUAc0BmAF4AWsBbQF7AZQBtwHoAioCfQLdA0EDngPrBCAEPwRPBFcEYgRzBI0ErATRBPoFJwVZBYwFugXdBe8F8gXsBegF7AX8BhQGKwY7BkEGPQY1BisGIQYYBg4GBAX9BfwGAQYLBhgGIwYsBjAGMQYwBjAGNAZBBl0Ghga6BvEHIgdHB2IHdgeLB6QHvgfSB94H3wfbB9cH2QfhB+wH+AgDCBAIIQg2CEsIWwhkCGgIbAh2CIYImwivCL0IxQjLCNEI2gjkCOwI8Qj1CPsJBwkYCS0JPwlPCVoJZQlxCX8JiwmWCZ8JqAm1CccJ3QnzCgUKEQoZCiAKJwovCjYKOwo+CkEKRgpOClgKZApxCnwKhwqPCpcKnwqpCrcKyArbCuwK9wr7CvcK8AroCuIK3QrYCtAKxgq9CrgKtgq3CrcKtAquCq4Krwq1Cr0KwgrACrYKpQqOCngKZApWClIKVwpkCnQKggqKCo0KjQqQCpcKoAqjCpwKjQp+CngKggqaCrMKvwq1CpcKcwpaClUKZgqDCqAKswq9CsMKzArbCu0K/wsPCx4LMAtGC10LbgtzC2sLXAtRC1ELYQt9C58LwAvaC/AMAwwYDDEMTgxvDJEMswzSDOwNAQ0SDSANMg1HDWANew2SDaYNtw3JDd8N+g4XDjMOSA5UDloOXg5kDm8OfA6DDn8OcA5aDkoOSA5cDn4Oow65DrIOiw5MDgkN1g3BDdAN+Q4tDloOdA53DmkOUw5ADjUOMw44DkAOSQ5UDmIOdQ6NDqgOwg7cDvcPEw8yD1IPcQ+MD6QPvQ/ZD/kQHBA9EFsQdRCQELIQ2xEIETMRVxFzEY0RqBHLEfISGxI/El0SdhKMEqASsRK8Er0SuBKyEqwSpRKaEoYSaxJUEk4SYBKHErQS1RLZEsASkhJeEjASChHqEc4RuxG6EdISAxI9EmgSbBJBEe0RhxEpEOQQvxCzELUQuxDDEMwQ2hDsEP0RCBEIEPkQ3xC9EJgQdhBZEEAQKxAZEAoP/g/2D/MP8w/0D/MP7A/cD8MPoQ94D0wPIA76DtsOxg66DrYOtg63DrgOtg6wDqMOkQ55DmEOSw47Di8OIQ4MDe8Nyw2qDZINhw2HDYsNiw2HDYANfQ2ADYwNmg2lDaoNqA2lDaMNow2lDaQNoA2ZDZINjQ2IDYQNgA18DXwNhA2VDa0Nyw3rDg0OLg5PDmsOfw6FDn4Oaw5UDj4OLQ4eDg8N/A3lDcgNpg2ADVINHwznDLEMfQxJDBALyQtxCxAKtApxClMKVwprCnoKcApICg0JzwmbCXYJWAk1CQcIzwiZCG8IVwhMCEQINAgWB+8HxQeeB3wHXgc+BxkG8AbJBqYGiQZvBlUGOAYYBfYF1QW2BZgFewVbBTgFFATvBMsEqQSJBGoESwQqBAgD5QPCA6ADggNmA0sDLwMRAvACzgKtAowCbAJMAisCCAHlAcMBowGGAWkBSgEpAQUA3wC4AJEAawBGACMAA//k/8j/rP+Q/3P/VP80/xT+8v7Q/q7+jf5v/lP+OP4d/f/93v26/Zb9c/1T/TX9F/z4/Nj8t/yX/Hn8Wvw7/Br7+PvV+7X7mPt++2X7Svss+wz67PrL+qv6i/pq+kn6KfoK+e750vm3+Zr5e/lb+Tv5HfkB+Or41/jG+LX4o/iP+Hr4ZvhV+Ef4PPgv+B34Bffp98/3uvet96f3oveb94/3f/dv92H3VvdN90L3Nvcn9xf3Cvb99vH24/bV9sf2vPaz9qz2pfab9pD2hfZ+9n32gfaJ9pL2mfag9qX2qfas9q72sPaz9rj2wfbK9tP22vbd9t/24fbl9ur28Pb19vn2/Pb+9wH3A/cF9wf3C/cP9xT3GPcb9x33H/ck9yz3Nvc+90T3SfdP91v3bPd+94z3kfeP94r3i/eW96v3xPfa9+v39/gC+BD4Ifgw+Dv4QfhF+Er4Vvhl+HX4f/iB+H74evh7+IP4jviY+Jv4kvh8+Fv4NPgO9+/33/fd9+j3+fgJ+BT4Gfgd+CL4Jvgm+B74D/f89+335/fr9/T3+/f69/T37vfs9/D3+Pf89/z3+Pf09/L38ffr9973yve597T3vPfO99z32vfF96n3lfeb97738fgi+D74P/gp+A73+/f4+AP4E/gg+CT4HvgO9/b32/e+96X3kveD93X3ZfdU90j3Svdf94T3sffW9+n36Pfc99L30vfd9+339vf19+j32ffN98j3yvfM98z3xfe596r3mPeF93P3ZPdY9073Q/cx9xb28fbC9o32VvYc9eL1qPVz9Uj1KPUU9Qf0+vTq9Nn0yPS99Lj0tfSx9Kj0nvSW9JT0l/Sb9Jr0kPR99Gn0WPRQ9E70UPRQ9E30SPRF9EX0SfRP9FX0WPRZ9Fn0V/RT9FD0TPRK9Ez0UfRZ9GH0afRv9HT0efR/9IX0jPSS9Jj0nvSl9K/0vPTK9Nj04/Tr9PH09fT79QL1DfUZ9Sb1MfU69UH1R/VO9VX1XvVo9XD1ePV/9Yf1j/WY9aL1rPW29cD1y/XW9eD16fXx9fn2AvYN9hv2KvY49kT2T/Zb9mb2c/aA9o32mfak9q72t/bB9sv20/bc9uX27/b89wr3F/ci9yn3K/co9yL3GvcR9wn3A/b/9v/3AfcG9w33Fvck9zb3S/dj93n3jPeb96X3rve29773yPfS99z35ffu9/b3/fgD+An4D/gV+Bz4Jfgu+Df4QPhI+FD4WPhh+Gv4dfh++If4j/iW+Jv4nvij+Kn4tPjD+Nb46Pj4+QP5CfkK+Qn5CfkK+Qr5CvkH+QP5APj++P/5AfkB+P349Pjm+Nb4xPiw+Jv4g/hr+Fb4R/hC+Ej4WPhs+IL4lPij+K74ufjE+NL44/j5+RH5LPlI+WP5fPmT+aX5tvnE+dL53/nt+fv6C/oc+i36PvpM+ln6ZPpw+n76jPqc+qv6uPrE+tD63Prn+vL6/fsH+xH7HPso+zb7Q/tQ+1z7Zvtv+3f7ffuC+4X7h/uJ+4v7jvuQ+5D7jfuH+4H7fPt5+3n7evt7+3v7eft2+3P7bvtq+2f7Y/th+2H7Yfth+2D7XftZ+1T7UPtN+0v7S/tM+037TftN+0v7SftF+0H7Pfs5+zf7Nvs3+zj7Ovs8+z77QvtH+077Vfta+1z7Xftc+137YPtn+2/7d/t++4X7jvua+6n7uvvL+9n75fvw+/78EPwk/Df8RfxP/FX8Wfxg/Gr8dvyE/JD8mvyh/Kf8q/yu/LD8sfyv/K38qvyn/KT8o/yl/Kv8tfzD/NT85/z9/RT9LP1D/Vn9bP1+/Y79nv2t/bv9xv3P/db93v3r/f3+Ef4m/jj+Rv5S/mD+cf6F/pj+qf63/sT+0/7o/wL/IP8//1z/ef+X/7j/2//+AB8APgBbAHgAlQCyAM4A5wD9ARIBKQFDAV8BegGUAawBwQHWAecB8QHzAesB3QHNAb8BtQGxAbQBxgHvAjcCnwMcA5cD+AQvBDoEKAQNA/sD+gQBBAQD9QPSA6MDdwNcA1sDcgOcA9IEDQRIBIAErwTTBOgE8QTyBPEE8gT6BQYFEwUcBR8FGgUOBP0E6ATRBLoEogSJBG0EUQQ3BCIEEwQIA/8D8gPgA8kDsAOWA34DZQNLAzADFgMDAvsC/gMHAw4DCwL6At4CvAKdAoICawJUAjkCFwHzAdMBvQG1AbsBzQHrAhECQwKAAsoDGwNsA7ID5AP+BAMD/QP3A/cD+wP+A/QD2gO0A4wDcwN3A5wD4AQ5BJ0FAQVdBakF3AXsBdQFlgVABOQEkgRWBDEEHgQSBAoEBgQKBB4ERAR5BLME6AUKBRAE9AS2BFwD8wOIAy0C7QLMAscC2AL1AxgDQANuA6ED2gQXBFEEhgSvBMkE0wTPBL4EpwSSBIcEjQSlBM4FBQVABXkFqQXKBdoF3QXXBdIF0gXbBesF/QYMBhIGEgYNBgYGAAX7BfUF7wXoBeIF4AXjBesF9gYABggGDwYVBh0GKwZBBl8GhQavBtoHAwcrB1UHgAesB9QH8ggCCAQH/gf4B/UH+QgACAUICAgLCBEIHwgyCEYIVwhhCGYIaghzCIEIkgiiCK4Itwi/CMkI1AjdCOEI4QjhCOQI8AkDCRgJKwk4CUIJTAlYCWYJdAmACYkJkgmeCbAJxgndCfEJ/woJChAKFQoaCh0KHwohCiQKKwo2CkMKUQpdCmcKcQp6CoQKjQqWCqAKrAq4CsYK0wrdCuMK5wrnCuYK4wrdCtUKywrDCr4KvAq8CroKtgqxCqkKrgq4CsIKxgrACq8KmAqBCm4KYwpiCmsKegqMCp4KrQq3CrwKwArECskKzArHCrcKoAqJCnkKeAqCCo4KjwqACmQKSAo3CjsKUQpvCokKlwqcCp8KqAq6CtIK6wr/CwwLFgsdCyILJAsgCxkLEwsTCx4LNAtPC2oLgQuUC6cLvgvaC/sMHAw7DFcMcQyJDKAMtAzFDNUM5gz7DRMNLw1LDWQNfA2UDa4NzA3qDgQOGA4jDiwONg5GDlkOaA5sDl4OQg4kDhIOGA41Dl4OgA6HDmwONA3wDbYNmQ2dDcAN8Q4iDkQOUg5ODj4OKQ4YDg8ODw4XDiMOMg5CDlIOZQ55DpEOrA7KDuoPCw8rD0kPZQ99D5QPrA/HD+UQBRAkEEIQXhB8EJ0QwxDpEQ8RMRFQEW8RkBG0EdgR+xIcEjoSWBJ2EpASoxKrEqkSoBKYEpESixJ+EmYSRBIgEgUR+xIDEhMSHxIgEhIR/hHpEdYRwxGtEZURgxGBEZYRvxHtEgoSBxHdEZcRSBECENAQtBCpEKkQtBDIEOYRCxEtEUMRRRExEQ0Q4BCzEIwQbBBSEDkQIhALD/gP6g/jD+EP4Q/fD9gPyQ+xD5QPcQ9MDygPBw7rDtcOyw7FDsQOxQ7EDsEOuw6wDqAOiw5xDlgOQg4yDicOHQ4NDfUN1Q20DZgNiA2CDYINgg1/DXwNfA2DDZANoA2tDbMNsg2vDawNrQ2uDa0NqQ2hDZgNkA2LDYgNhA2BDYANhQ2SDaYNvw3WDeoN9w3+DgAN/Q32De4N5w3kDeUN6g3tDeoN3w3LDbANjw1pDTsNBgzNDJUMYgw0DAMLxAtwCwgKmgo6CfkJ2wnVCdYJygmsCYQJYQlQCVEJWAlRCS8I8ginCGEIMQgaCBMIDQf9B94HtQeLB2YHSAcrBwsG6AbCBp0GfwZlBk4GNAYWBfQF0QWvBY8FcgVTBTIFDgTnBMIEngR/BGIERgQnBAcD5APBA58DgQNjA0YDKAMIAucCyAKpAowCbgJPAi4CDAHrAcwBsAGTAXQBUQEqAQEA1wCvAIkAZABBACAABP/q/9P/u/+h/4L/YP88/xn++f7Z/rr+nP59/l7+QP4i/gL94f2+/Zv9e/1c/UD9I/0E/OP8wfyg/ID8YfxC/CH7//vd+777ovuL+3P7Wvs8+xr69/rT+rL6kfpy+lH6MfoR+fT51/m8+aD5gvli+UL5JPkJ+PL43vjM+Lr4p/iT+H74bPhd+FD4Rfg4+Cb4EPf39973yve59633ofeU94b3ePdr92H3WfdQ90T3Nvcm9xf3Cfb89vD24fbS9sP2t/au9qb2nfaR9oT2ePZw9m72cvZ59oL2ivaQ9pb2m/af9qH2ovaj9qf2rfa29sD2yPbO9tL21PbV9tf22vbd9uL25vbr9u/28fby9vL28/b19vn2/Pb+9v/3AvcG9w73GPch9yf3LPcy9zz3S/db92n3cfdy93H3c/d99473o/e498r32vfp9/j4CPgW+CD4Jvgr+DP4P/hN+Fr4Yvhk+GH4X/hg+Gj4c/iA+In4iPh7+GH4PPgT9+730/fI98r31ffj9+/3+fgC+Av4EfgQ+AX38ffa98j3wPfE98/32vfh9+P34/fj9+P34Pfa99H3yvfI98r3y/fC9633kPd593L3gPeY96n3pPeK92z3Yvd/98D4EPhO+F74PPf597P3hvd995H3sPfG98r3vfeo95T3g/d192P3Tfc09xz3DfcM9xj3MfdQ93D3h/eT95L3iveC94L3i/ea96f3rfeo95v3ivd79233YvdW90n3PPcw9yX3G/cP9wD27vbZ9sP2qvaM9mj2PPYK9dX1oPVs9Tv1EPTs9NP0xPS89LX0qfSX9IL0bvRi9Fz0XPRb9Fj0UfRK9Ej0SfRM9Ev0QvQx9B70DvQE9AD0AfQB8//z+/P58/rz/vQD9Aj0DPQN9A30DPQK9An0B/QH9Aj0DPQT9Bz0JvQv9Db0O/RA9ET0SfRO9FP0WfRg9Gn0dvSF9JT0ovSt9LT0uPS89MH0yfTU9OD06/T09Pr1APUI9RL1HvUq9TT1O/VC9Uj1T/VZ9WP1bvV59YX1kvWf9av1tfW+9cb10PXb9er1+vYJ9hf2I/Yt9jj2Q/ZP9lr2ZfZv9nj2gvaN9pn2pvaz9r/2yvbV9t726Pbx9vr3BPcM9xP3FvcW9xL3C/cC9vj27/bo9uP25Pbs9vv3EPcp90H3Vvdm93L3fveL95n3qPe298H3yvfS99n34vfr9/X3/vgG+Az4E/ga+CL4Kvgx+Dn4QPhI+FD4W/hn+HP4fviH+I34kPiS+Jb4nfir+L741Pjp+Pn5A/kG+Qb5BPkD+QL5AvkC+QL5A/kH+Q75F/kf+Sb5K/ku+S/5Lfkm+Rf4//je+Lr4l/h9+G/4bfh1+IP4kvig+Kv4tfi++Mn41/jo+Pz5Evkp+UD5Vvls+YD5lfmq+b/51Pno+fr6Dfoe+i76PPpH+lH6Wvpk+nH6gPqP+pz6qPqy+rr6xPrP+tv65/rz+v77CvsX+yT7Mvs/+0r7VPtc+2T7a/tx+3b7evt9+4D7gvuE+4T7gft7+3T7bfto+2X7ZPtk+2T7Y/tg+1v7VvtR+037SftH+0b7SPtL+077T/tO+0r7Rfs/+zv7Ofs4+zn7Ovs6+zn7N/sz+y77K/so+yf7J/so+yj7Kfsp+yv7MPs3+0H7S/tU+1n7Wvta+1n7Wvtd+2L7Z/ts+3H7ePuB+4z7mvuo+7b7xfvW++n7/vwS/CT8Mvw9/Eb8UPxd/G38fPyI/JH8lfyW/Jf8mPya/Jv8mfyW/JD8ivyF/IP8hfyM/Jf8pvy4/Mz84fz5/RL9LP1F/Vz9cP2B/ZD9oP2x/cD9zv3Z/eD96P3z/gH+Ef4i/jD+PP5I/lb+Z/56/oz+m/6n/rH+v/7S/uz/Cv8r/0v/av+J/6j/x//nAAUAJABEAGQAhQCjAL0A1ADoAP0BFQExAU0BaAGBAZoBswHNAeQB8gH1AesB2wHJAbwBsQGmAZcBigGOAbQCCgKMAyUDuAQlBFwEYgRHBCUECwP+A/gD6wPTA68DigNvA2kDegOiA9cEEgRNBIEEqwTJBNsE4wTmBOYE6QTtBPME+QT7BPkE7wTeBMYEqwSNBG4ETwQwBBAD8APVA8IDugO8A8QDywPOA8kDvQOqA5MDdwNZAzoDHwMOAwsDFAMiAy4DLAMbAv0C2QK1ApcCewJgAkECHwH/AekB4wHxAhICQQJ4ArUC+ANDA5cD8QRJBJIEwQTOBL4EnQR4BF4EUwRRBE8ERAQtBBID/AP4BAwENgRwBLQE+gU/BX0FrQXHBcgFsAWFBVUFLAUQBQEE+wT2BO8E6ATnBPEFDQU6BXMFsQXqBhAGGAX+BcIFcQUaBNIEpgSZBKkEywT1BSEFSgVvBZAFrAXCBdIF3QXkBeMF1wW4BYMFPATuBKgEfARyBIsEvwT/BT8FdQWbBbEFugW4BbEFqwWoBasFtAXABcsF0wXXBdcF1AXPBccFvQWwBaMFmAWSBZMFmgWlBbIFvwXQBeYGAwYoBlQGgQatBtcHAQcwB2UHngfWCAIIHQgjCBwIDwgGCAYIDggZCCAIIgghCCIIJwgyCD4ISAhPCFQIWwhmCHQIggiOCJYIngioCLUIwgjMCNEI0gjTCNkI5gj3CQkJFwkgCScJLwk7CUsJWglmCXAJeQmGCZgJrwnHCd0J7Qn5CgEKBQoHCgcKBQoFCggKEQofCi4KPgpMClkKZgpzCoEKiwqSCpUKmAqdCqUKsgrBCs4K2QrgCuIK4greCtkK0wrNCskKxQrACrkKsQqrCqQKpAqmCqgKpAqZCogKeQpvCnEKfAqPCqUKuArHCtAK0wrQCssKxgrDCsIKwgq+CrIKnwqICnEKYApUCksKPwovCh4KEwoTCiIKOgpTCmMKaQpqCm0KeQqPCqoKwgrQCtQK0QrLCsgKyArLCtIK3QrtCwILGAssCzwLSAtVC2cLggulC8kL6gwEDBcMKAw5DE4MZAx6DI4MoQy2DM0M6A0FDSINPA1VDW0NhQ2bDa4NvQ3JDdgN6w4EDh4OMA4zDiQOCg3zDe0N/Q4fDkIOUg5DDhQN0g2UDW0NZw2ADawN2w3/DhQOGA4QDgMN9Q3qDeUN6A30DgYOHQ4zDkcOWg5uDoQOnw6/DuEPAg8gDzoPUQ9mD30Plg+xD80P6RAFECIQPxBfEIAQohDEEOYRCBErEVARdhGaEboR1hHwEgwSLBJNEmsSfxKFEoASdRJrEmUSYRJZEkgSLhIQEfMR3xHTEcsRwxG4Ea4RpxGjEaERmhGJEXERWRFMEVERZRF5EYERcRFMERsQ7BDMEL0QvhDJENsQ9hEZEUMRbBGIEY4RdxFKERAQ1RCiEHsQXhBFECwQEg/6D+QP1g/OD8oPxw/AD7IPnA9/D2APQA8iDwgO8w7jDtgO0Q7ODswOyQ7DDrsOsA6iDpEOfQ5lDk0ONg4jDhYODA4ADe4N1g27DaINjw2EDX4New15DXcNeQ2BDY0NnA2oDa8NsQ2yDbMNtQ22DbQNrA2iDZcNkA2NDY0NjQ2MDYsNjg2WDaMNsw3BDcgNyA3BDbcNrQ2lDaENow2rDbgNxA3MDcsNwA2rDY8NcA1MDSIM8Qy6DIEMTQwgC/QLvgt1CxUKpwo7CeQJqwmLCXgJYAk/CRsJAQj+CRIJLwk+CSwI8wigCE0IDgfvB+kH7AfnB9AHqgd9B1QHNAcaBwEG4wbABpsGeAZbBkIGKgYPBe8FywWoBYYFaAVKBSoFBwThBLsElwR2BFkEPAQdA/0D2wO6A5oDewNeAz8DIAL/At8CwQKlAooCbgJQAjACEAHyAdUBuAGZAXMBSQEcAO8AxgChAH8AXwA/ACEABv/x/97/yf+w/5D/av9D/x3++/7c/r7+nv5+/lz+PP4d/f793/2//Z/9gP1j/Uf9K/0M/Ov8yPym/Ib8Z/xI/Cj8Bvvj+8P7pvuO+3b7XftA+x76+vrX+rX6lPp1+lb6NvoW+fj52/m/+aP5hflm+Uj5LPkS+P346PjU+L/4qPiS+H74bfhf+FP4R/g5+Cj4FPf/9+r31/fG97X3pPeT94P3dvds92X3XfdT90b3Nfck9xT3Bvb59uz23fbN9r72sPal9pv2kfaF9nn2bfZm9mP2ZfZr9nL2efaA9ob2i/aP9pH2kfaS9pX2mvai9qv2tfa89sH2w/bD9sH2wPbA9sP2yPbO9tT22Pba9tr22/bc9t/24vbk9uX25vbp9u729vb+9wX3C/cS9xv3KPc290T3TfdS91X3WPdh92/3gfeV96n3u/fM99z37Pf6+Ab4EPgZ+CT4L/g6+EP4R/hI+Eb4RfhI+FD4XPhr+Hf4fPh0+F74O/gQ9+b3xfey9633s/e/98z32ffm9/P3/Pf89/D32fe996b3mved96n3uffH99D31PfU9873xPe296j3n/ed96H3ofeW9333X/dH90T3VPds93r3cvdX9z/3Rfd39874K/hm+GT4I/e/9173IvcW9yz3Svda91T3P/cp9x33GvcY9wz28fbO9rH2qPa69uP3FvdE92H3avdj91T3R/dC90f3Uvdd92P3YPdX90j3Ofcp9xn3B/bz9t72y/a69qz2n/aN9nT2VfYw9gj13/W19Yr1X/Uz9Qn04fS99J30g/Rw9GX0YfRh9F70VfRF9DD0HfQQ9Av0DfQQ9BD0DPQE8/3z+fP28/Tz7vPj89XzxvO787Pzr/Ot86vzq/Or863zsvO287rzvPO887zzvPO9873zvvO/88HzxvPO89jz4vPs8/Tz+vP+9AH0BPQJ9A/0FvQf9Cn0NvRG9Fb0ZvRz9Hv0f/SC9Ib0jfSX9KL0q/Sy9Lb0uvTC9M302/Tq9Pf1APUG9Qz1E/Ub9SX1MPU79Uj1VfVj9XL1f/WM9Zj1pfWy9cH10fXg9e31+PYC9gz2FvYh9iz2NvY/9kj2UPZa9mb2dPaC9pL2oPas9rf2wPbI9tH23Pbo9vP2/vcE9wf3BfcB9vz29fbu9uj25Pbl9uv29fcD9xH3Hfcp9zX3RPdV92r3ffeO95r3o/eq97L3vffL99j35Pft9/X3/PgE+A34F/gi+Cv4NPg7+EL4SfhQ+Fn4Yvhr+HT4e/iB+If4j/ic+K34wPjT+OL47Pjw+PH48Pjw+PL49vj7+QD5BfkK+Q/5Ffkc+SP5K/k1+UH5TPlU+VT5SPkw+Q/47PjM+LX4qfim+Kv4s/i7+MT4zPjU+N345/jz+P/5C/kW+SL5Lvk9+VD5Z/mB+Z75uvnU+ev6APoS+iP6Mfo8+kb6UPpb+mf6dfqD+o/6mPqg+qj6s/q/+s763frr+vn7BfsR+x77Kvs0+zz7QvtH+0v7UftY+1/7Zvtr+2/7cftz+3L7cPtr+2T7XftX+1P7UftQ+0/7TftK+0b7Qfs8+zf7NPsy+zH7Mvs1+zn7PPs9+zv7Nvsw+yr7J/sl+yb7KPsq+yv7Kfsl+yH7Hfsa+xj7GPsY+xf7F/sX+xn7Hvsn+zP7QPtM+1T7WPtZ+1j7WPtZ+1v7Xftg+2L7Zftr+3L7ffuL+5z7rvvC+9f76fv6/Af8E/wg/C/8QPxU/Gf8d/yC/In8i/yM/Iz8i/yJ/IT8fvx2/G/8afxm/Gj8bfx3/IX8lvyq/MD82Pzy/Q79Kv1E/Vv9b/1//Y79n/2x/cP90/3g/er98v36/gT+EP4c/ij+M/4//k7+Xv5v/n7+i/6W/qH+sP7E/t7+/P8b/zv/W/95/5f/s//O/+kABgAnAEsAbgCPAKkAvQDQAOYBAQEgAT4BWQFwAYUBngG8AdoB8QH6AfMB4QHMAb0BsQGkAY8BdgFkAXABrQIjAsQDcQQGBGgEjgSFBGIEOwQdBAkD9gPeA74DngOJA4cDngPJBAEEOgRrBJAEpwS1BL0EwwTJBM4E0QTQBMoEwQS2BKgElwSCBGgESwQtBBID+wPmA9MDwAOxA6oDrwPCA+AEAwQjBDsERgRGBDsEKgQUA/8D7QPlA+cD8wQDBBAEEwQHA+8DzgOqA4UDYQM8AxQC7ALIAq8CpgKxAs8C+wMxA20DsAP5BEkEmwTnBSIFQQVABSEE8QS/BJkEhAR/BH4EeQRsBFkESARCBEwEZQSKBLUE4gUOBTgFXAV2BYMFgwV5BWsFXwVZBVYFVAVQBUoFRQVEBUwFYAV+BacF2AYMBjkGWAZhBlEGMQYMBfEF6gX7BiAGUQaGBroG6AcOBykHOAc7BzUHLAckBxoHAwbSBn4GCQWCBQEEnwRrBGYEggSwBN0FAQUaBSkFMQUzBTEFKwUmBSYFLwVABVYFawV5BX4FegVvBWAFUAU/BTAFJAUfBSEFKgU4BUkFXgV3BZgFxAX4BjMGbwamBtoHDQdCB30HuQfxCBoILgguCCIIEggKCAwIFwgmCDEINwg4CDcINwg4CDkIOgg8CEEISwhZCGcIdAh8CIIIiQiTCKEIsAi8CMQIyQjPCNkI5wj2CQMJCgkOCRIJGgkmCTUJQwlOCVcJYQlvCYIJmQmwCcQJ1AnhCeoJ8Qn0CfUJ9An0CfkKAwoRCiEKMQo/Ck4KXgpxCoIKjwqVCpQKkQqRCpYKogqxCr8KyQrPCtEK0QrRCtIK0grSCtEKzQrHCr0KsgqpCrIKqQqcCo0KegpnClkKVQpeCnUKlgq4CtUK6QrwCu0K4ArOCrkKpAqUCosKigqNCo8Kiwp8CmUKSQorChEJ/AnuCeoJ7gn9ChIKJwo3Cj4KPQo5CjsKRQpWCmkKdgp6CnYKbQpnCmgKcQqBCpUKqwrACtYK6Ar3CwMLDgscCzILUAtzC5ULsQvFC9ML4QvzDAsMJwxDDF0MdAyJDKAMuQzVDPANCA0bDSsNOQ1FDVENXg1tDX8Nlw2wDccN1Q3XDc4Nww2/DcsN5g4FDhkOEw3tDbINdA1GDTUNRQ1pDZQNtw3LDdMN0Q3MDcgNxA3CDcMNyg3ZDfAOCg4kDjsOTw5iDngOlA61DtcO9g8RDyYPOg9PD2YPgA+cD7YPzw/nEAEQHRA8EFwQfBCcEL0Q4REHES4RVRF2EZERpxG+EdkR+hIcEjsSTxJWElESSBJAEjsSORI0EigSFRH+EegR1hHGEbcRqRGdEZcRlxGdEaERnBGLEW8RURE5ESwRJxEhEREQ9BDPEK0QmRCXEKcQwRDiEQcRMBFbEYURoxGsEZkRbBEuEOoQrRB+EFwQQhAsEBQP/A/kD9APwg+4D7EPqQ+cD4kPcA9TDzUPGg8EDvMO5w7eDtcO0g7ODsgOwA61DqcOmQ6KDnoOag5YDkMOLQ4YDgYN+A3rDd0NzQ25DaYNlA2FDXsNcg1sDWkNag1wDXoNhw2TDZ0NpA2rDbINtw24DbQNqg2dDZINjA2MDZANlg2aDZ0NoQ2mDa0Nsw20DbANpg2cDZINjg2NDZENlw2fDacNrQ2uDaYNlg1+DWMNRg0oDQUM2QyjDGcMLAv1C8ULkgtUCwUKqApICfUJuQmSCXgJWQkwCQAI1gjBCMMI1QjgCNIIoQhWCAgHzge0B7cHyAfRB8UHowd1B0gHJAcKBvUG3Qa+BpkGdAZTBjcGHgYEBeYFxAWgBX0FWwU8BRwE+gTXBLMEkARwBFIEMwQUA/ID0AOvA5ADcwNXAzkDGgL7AtwCwAKmAosCcAJSAjQCFwH7Ad8BvwGZAWwBOwEKAN8AvACfAIQAaABKACwAEv/9/+v/2P/A/5//d/9N/yX/AP7g/sH+oP59/ln+N/4Y/fz93/3D/aX9h/1p/U39L/0R/O/8zfyr/Iv8bfxP/DD8Dvvr+8n7qvuO+3T7Wvs++x76+/rZ+rf6l/p4+lj6Ovob+f754fnF+ab5h/ln+Ur5L/kZ+QT48Pjb+MP4q/iU+ID4b/hi+FT4Rvg2+CT4EvgA9+/33/fO9733q/ea94r3ffdz92v3YvdV90X3M/ch9xH3Avb19uj22fbJ9rn2qvad9pL2h/Z99nT2a/Zk9mD2YPZi9mb2bPZx9nb2efZ79nz2ffZ+9oH2hvaN9pX2nfak9qr2rvav9q72rPaq9qr2rfaz9rn2vvbB9sH2wvbE9sf2yvbN9s32zfbO9tD21fbb9uL26vby9vv3B/cV9yH3K/cw9zT3OPc/90z3Xfdy94j3nfew98L30fff9+z3+PgE+BD4Gvgj+Cn4Lfgv+DD4NPg5+EL4Tfha+GT4aPhi+E34K/gB99b3s/ef95j3nPen97T3wffQ99/36vfs9+H3yveu95X3h/eF94/3nver97T3uPe397D3pPeV94f3ffd593j3dfdo91P3PPcu9zL3RPdX9173Ufc59yz3QfeA99n4KvhN+C330PdY9vD2tvau9sb24fbo9tf2ufai9pr2oPak9pr2ffZX9jz2PfZe9pn22/cS9zD3Nvcp9xj3C/cI9wz3EvcV9xL3CPb69ur22/bM9rz2qfaT9nr2YfZJ9i72EPXs9cH1kPVd9Sv0/fTS9Kv0h/Rn9Ez0NvQl9Bf0DPQE8/7z/fP98/3z+PPu8+Dz0fPG88PzxfPL883zyvPB87TzqfOh853zmvOV843zgfNz82bzXPNX81XzV/Na81/zY/Nm82jzavNs823zb/Nw83LzdPN383vzgfOI85Hzm/Ok86zzsvO387zzwfPH88/z2PPi8+zz+fQH9Bf0JvQy9Dv0QfRG9Ev0VPRf9Gr0c/R49Hr0fPSA9Ir0mPSn9Lb0wfTI9M701PTc9OX07vT59QT1EfUh9TL1RfVY9Wr1fPWM9Zz1q/W49cT1zvXX9eD16vX19gH2DPYX9iD2KfYx9jr2RPZQ9l/2b/Z/9o72m/am9rD2ufbE9s722Pbg9ub26/bw9vT29/b69vr2+Pb19vP28vby9vT2+Pb+9wf3Ffcm9zn3TPda92X3bPdz9373i/eb96z3u/fI99P33ffn9/P4APgN+Bn4I/gs+DP4OPg8+ED4RfhM+FX4X/ho+HH4efiD+I/4nfit+Lz4yPjP+NT42Pjd+OP47Pj1+P35BPkI+Qn5CvkL+Qz5EPkX+SL5L/k8+UX5Rvk9+S35GPkD+PL45vjf+N343Pjd+N744fjm+O749/kC+Qv5E/kZ+R/5Jfkv+T75VPlt+Yj5ovm6+c754vn0+gj6Gvos+jz6S/pY+mX6cvp9+of6kPqZ+qL6rvq9+s363frs+vr7BfsR+xv7Jfst+zL7NPs1+zb7Ofs/+0b7TPtS+1X7V/tZ+1j7V/tT+0/7SvtF+0L7QPs/+z77PPs4+zT7L/sr+yf7JPsh+x/7Hvsf+yD7I/sk+yP7IPsb+xb7EfsP+xD7E/sX+xr7G/sa+xf7E/sP+wz7C/sK+wn7CPsI+wr7DvsW+yL7MPs9+0j7UPtU+1X7VftW+1b7V/tX+1f7WPtb+2L7bft9+5D7pPu3+8j71vvh++37/PwP/CX8PfxR/GH8a/xx/HT8efx9/IH8gvx8/HL8ZfxX/E38SPxI/Ev8UfxZ/GX8dfyK/KX8w/zj/QT9Iv09/VT9aP15/Yr9nf2w/cP91f3j/e799v3+/gX+Dv4Y/iP+L/48/kn+V/5k/m/+ef6E/pL+pf67/tX+7/8L/yj/Rv9l/4P/nf+1/8v/5AADACkAUAB0AJAApQC4AM4A6wEOATABSwFgAXEBhwGkAccB5wH6AfsB7AHXAcQBtgGpAZYBeQFdAVYBegHWAmUDEQO4BDwEiwSnBJ0EgQRfBD0EGgP0A84DrgOgA60D1gQSBFUEjgS0BMMEwQS4BLAEsAS4BMEExwTDBLcEpQSQBHsEZQRMBC8EEAPzA94D0wPRA9UD2QPeA+cD+gQbBEoEhAS+BPIFGQUzBUAFRAVBBTwFNgUzBTUFPgVMBVsFZgVpBWEFTAUuBQcE2wSrBHgERQQVA+wDzQO6A7UDvwPXA/wELgRqBK0E8QUsBVUFZgVdBT8FFATrBMwEvAS3BLYEsgSoBJwEkwSVBKQEvwTgBQMFJAVBBVkFbAV4BX0FfQV5BXQFcAVuBWsFZwVgBVoFWQVcBWUFcgWCBZMFqQXEBeQGBAYgBjMGPgZFBk8GYgaCBq0G4wcfB14HngfXCAUIIgguCC8ILQgtCCkIFgfhB38G8gZOBa0FKgTTBKUEkQSDBG8EUwQ1BB8EFQQWBBwEIwQrBDYESgRnBIoEqwTCBMoEwwSyBJ4EiwR8BHMEbwRzBH8EkgStBMwE8QUaBUwFhQXHBg0GUwaVBtIHDAdGB4IHvQfxCBcIKggsCCMIFggPCBEIGggmCDIIPAhBCEMIQwhACDwIOQg6CEEITAhbCGgIcQh3CHwIhAiPCJ0IrAi5CMMIzAjVCOEI7Qj4CP8JAQkDCQYJDgkaCScJMgk7CUMJTgleCXEJhwmaCakJtQnBCc4J2gnkCesJ7wnzCfkKBAoRCh4KKwo2CkMKVApoCnwKjAqTCpMKjwqOCpIKnAqnCrAKtQq2CrYKtwq8CsIKyArMCs4KzQrLCscKwQq7Cs8KvgqjCoMKYQpFCjYKNwpICmcKjAqwCswK3QrjCt0Kzwq5Cp0KfgpjClIKTQpUCmEKagpoClcKOgoZCfsJ5QncCd0J5gn0CgEKDAoQCg8KCgoFCgMKBgoMChIKFQoTChAKDgoUCiEKNgpNCmQKeAqJCpkKqgq7Cs4K4Qr3CxALKwtGC2ALdQuGC5YLqAvAC90L/gwdDDkMUQxnDH4MlwywDMgM2wzoDPEM+A0ADQwNHA0uDUINVg1nDXINdw13DXYNew2KDaQNwQ3VDdYNuw2KDVENIQ0KDQ8NLA1RDXMNhw2PDY8Njw2TDZoNog2pDa8NuQ3IDd4N+A4TDioOPQ5RDmgOhA6lDscO5Q7+DxEPIw84D1APaw+GD6APtw/ND+MP/RAZEDgQVxB4EJsQvxDmEQsRLBFIEV4RchGJEaYRxxHpEgUSFRIbEhgSExIQEg8SDRIHEfsR6hHXEcYRuBGtEaMRmhGTEZERlhGeEaMRnhGNEXQRWBFAES0RHBEHEOgQwhCbEH0QbxBzEIcQpBDFEOoREBE2EVURZRFfEUEREBDVEJwQaxBHEC0QGBADD+4P2Q/FD7QPpg+cD5IPhg92D2IPSQ8wDxgPBA71DusO4w7cDtQOyw7CDrcOqg6cDo0OfQ5uDmEOVQ5IDjgOJQ4PDfoN5w3XDckNvA2vDaINlA2HDXsNbw1lDV4NWw1dDWQNbw17DYcNkw2eDakNsA2yDa4NpA2YDY0NiA2IDY4Nlg2dDaQNqg2vDbENrg2lDZcNiA1+DXsNgQ2KDZQNmQ2aDZYNkA2GDXcNZA1MDTMNGw0DDOcMwgyQDFMMEQvQC5YLYAsoCucKmwpMCgQJzgmqCY8JcAlDCQcIyAiWCHgIbQhnCFQIKwfuB64HgAdvB30HmAeuB68HlwdtBz4HFwb7BuYG0Aa1BpQGbwZMBi0GEwX6Bd4FvgWbBXYFUQUvBQ0E7ATKBKoEiwRtBE8EMAQOA+sDyAOnA4gDbANQAzQDGAL6At4CwQKmAooCbQJPAjMCGQH/AeIBwAGWAWUBMgEDAN4AwgCsAJcAfQBeAD4AIQAK//j/5f/M/6v/gv9V/yv/Bv7l/sX+pP5//lr+N/4X/fv94P3F/aj9i/1t/U/9Mf0S/PH8z/yt/I38b/xS/DT8FPvz+9H7sfuU+3j7XvtB+yL7Avrg+r76nfp8+lz6Pvoh+gb56vnM+a35i/lq+Uz5Mvkd+Qn49vjg+Mf4r/iZ+Ib4dvho+Fr4Sfg2+CL4D/f99+734PfR98L3svei95P3hvd69273YPdR90D3Lvcd9w32//by9uT21vbG9rb2pvaX9or2f/Z29m/2aPZi9l32W/Zb9l32YfZm9mn2avZp9mj2afZr9m72c/Z49n32gvaH9o72lPaZ9pv2m/aZ9pj2mfad9qH2pfan9qf2p/ao9qv2r/ay9rT2s/ay9rP2tfa79sH2yfbS9tz26Pb09wH3CvcQ9xP3Ffca9yX3NvdM92T3e/eR96P3s/fA98332ffk9+739vf++AT4CvgQ+Bj4Ifgq+DP4O/hD+En4S/hE+DH4E/ft98f3p/eT94z3j/eY96T3sPe+98z31vfZ99H3v/eo95L3g/d+94H3hveL9433jPeK94b3gPd49273ZPdc91T3Svc99y73JPcj9y33PfdJ90j3Ovcs9y/3VPeX9+P4FvgS9833V/bX9nT2RfZI9mX2fvZ/9mf2RvYs9iT2KvYu9iX2C/Xr9db13PYA9jn2d/ap9sf20PbM9sX2wfbC9sT2xvbC9rr2rfad9oz2evZm9lL2O/Yi9gX15fXA9ZT1YvUq9PD0tvSC9FX0L/QP8/Pz2vPF87Xzq/On86Xzo/Oh857zm/Oa85vznPOa85Tzi/OC833zfvOB84TzgfN482rzXPNR80zzS/NL80fzPfMt8xzzDvMG8wTzB/MM8xDzEvMU8xXzGPMb8x7zIPMj8ybzKfMu8zTzO/ND80rzUvNb82Pza/Nz83rzgfOJ85HzmvOj867zufPG89Pz4fPt8/f0APQI9BH0HPQp9Db0QPRF9Eb0RfRG9Ez0VvRj9HH0fPSF9Iz0k/Sb9KT0rfS39ML0z/Tf9PL1CPUf9Tb1S/Vf9XH1gPWO9Zr1pPWu9bb1v/XJ9dX14fXu9fv2BfYO9hb2HfYm9jH2QfZS9mX2dfaD9o72mPah9qr2s/a79sL2yfbR9tr25Pbt9vT29/b39vX28fbu9uz27Pbw9vb2//cL9xf3Ivcp9y/3NPc690P3UPdg93H3gveS96H3sPe+98v31/fj9+73+vgG+BH4Gvgi+Cf4K/gx+Dn4QvhL+FP4Wfhf+Gf4cfh/+I/4nvis+Lf4wPjJ+NT43/jp+PL4+Pj7+Pv4+vj5+Pj4+fj7+P/5BvkO+Rb5G/kd+Rv5FvkQ+Qr5BfkA+Pr49Pjt+Of44/jk+Or49PkB+Q75G/km+S/5OPlD+VH5Y/l2+Yr5m/mp+bf5xfnX+ez6BPod+jT6R/pW+mL6bPp2+n/6iPqT+qD6rvq++s763Prp+vX6//sK+xT7Hvsl+yr7K/sq+yr7LPsv+zT7OPs7+zz7PPs7+zr7OPs2+zP7MPst+yz7K/sr+yr7KPsk+yD7HPsY+xX7EfsO+wn7BvsD+wP7BPsG+wf7B/sE+v/6+/r3+vb69/r7+v/7A/sE+wT7Avr/+vz6+vr5+vn6+Pr4+vn6/PsC+wv7F/sk+zH7O/tD+0f7S/tN+077T/tQ+1D7UftU+1v7Z/t4+4r7nPuq+7X7v/vL+9z79PwS/DD8SfxZ/F78W/xX/Ff8Xfxo/HL8dfxu/F78Sfw3/Cv8Jvwm/Cn8LPwv/Df8Rfxd/H38ovzK/O/9EP0s/UP9WP1s/YD9lv2r/b/90P3f/ev99f3+/gb+Dv4W/iD+K/42/kL+Tf5W/l7+Z/51/of+nf61/sz+4v75/xP/Mf9S/3H/jP+f/6//wv/dAAIALQBWAHYAjQCfALQA0gD3AR0BPQFTAWMBdAGNAbAB1AHvAfkB8QHfAcsBuwGsAZkBfQFcAUcBUAGIAfMChAMkA7cEKQRyBJUEmQSJBGsEQgQUA+gDywPHA+QEHgRqBLUE7gULBQwE+ATeBMsExQTLBNYE3gTdBNQExQS0BKIEjgRzBFIELQQLA/UD7wP3BAkEHQQxBEUEXwSFBLsE/QVEBYgFwwXyBhYGMAZABkkGSgZHBkQGRwZSBmcGgQaYBqYGpQaRBm0GPAYDBcgFjAVSBRoE5ASxBIcEaARbBGEEewSmBNoFDgU7BVgFYwVdBUoFMwUeBRAFCgUJBQcFAwT9BPkE/AUJBSAFPwVfBXwFkwWiBasFrgWrBaQFmgWSBYwFigWKBYgFgwV9BXgFdwV8BYUFjQWTBZYFmgWiBbMFzQXtBg0GKQY/BlIGYwZ4BpUGvgb2Bz0HjQfgCCsIZQiMCKcIuwjPCNwI1giuCFgH2QdCBqwGKgXEBXAFHAS6BEgD0ANnAx0C+wL5AwsDIQM1A0gDXgN7A5wDugPNA9ADwwOtA5QDfgNuA2MDXwNiA3ADigO0A+wEMAR+BNIFKwWFBdsGLAZ1BrgG9gcyB24HqAfdCAYIIQgtCC0IKAghCBwIGwgdCCMIKggyCDkIPQg/CD8IQAhFCE4IWghlCG8IdQh5CH8IiAiWCKUIswi9CMUIzQjWCOAI6gjwCPII8QjyCPcJAQkNCRgJIAkmCS4JOwlOCWMJdwmHCZIJmwmoCbgJywnbCegJ7wn1CfwKBgoSCh0KJgouCjgKRwpaCm8KgAqKCowKigqJCowKkgqYCp0KngqfCqIKqAqyCrsKwQrECsQKxQrICs4K1ArWCtAKuwqZCnAKSAopChkKGQomCjwKVgptCn8KjAqVCpoKmQqPCnwKYQpFCjAKKAotCjsKSQpOCkUKMQoYCgEJ8QnpCeYJ5AnhCdwJ1QnPCckJxQnCCb8JvQm8CboJugm8CcIJzgngCfgKEQooCjoKRwpSCmAKcwqMCqgKxQrfCvYLCQsaCyoLPAtQC2cLggufC78L3Qv5DBIMKAw+DFYMbwyHDJwMqwy1DLsMwgzODN4M8g0HDRkNJg0sDSwNKw0rDTINQQ1XDXANgw2HDXcNVA0mDPwM4gzfDPENEA0wDUYNUQ1UDVYNXQ1qDXoNig2WDZ8NqQ24Dc0N5g4ADhcOLA5ADlYOcg6RDrEOzg7lDvgPCg8dDzQPTQ9nD4APlw+tD8QP3A/4EBYQNhBZEH4QoxDIEOgRBBEZESwRQBFZEXcRlhGxEcQRyxHLEccRxBHGEckRyxHGEbsRqxGbEY4RhRF9EXYRcBFsEW0RchF4EXsRdxFrEVsRSxE+ETMRJhEQEPAQyBCfEH0QZRBaEFkQXRBmEHUQiBCeELEQuxC1EKEQgRBeED4QJBAOD/oP5g/QD7oPpg+WD4gPfg90D2oPXw9QDz8PKw8XDwUO9w7tDuYO3w7WDsoOug6qDpoOjA5+DnEOYw5VDkkOPQ4yDiUOFg4DDe8N2w3JDbkNrQ2kDZ0Nlg2QDYgNfg10DWsNZA1hDWINaA1wDXoNhA2PDZkNoA2jDaENmg2SDYoNhg2GDYoNkA2WDZwNoQ2jDaANlw2HDXUNZQ1eDWENbg19DYgNiQ2BDXINYg1RDUANLg0aDQYM8gzfDMoMrQyEDEwMCwvJC4wLVQshCucKpQpbChQJ2AmqCYcJYwk1CPgItAh2CEoIMgglCBQH9AfEB40HYAdMB1IHageCB4wHfgdeBzQHDAbsBtQGvwamBogGZgZDBiQGCAXuBdQFtwWXBXMFTwUrBQkE5wTGBKcEiQRsBE4ELQQLA+cDxAOiA4MDZwNMAzEDFQL5At0CvwKhAoICYwJGAioCEQH3AdoBtgGJAVgBJwD/AOAAywC6AKUAiQBnAEQAJgAO//v/6P/O/6v/gP9T/yn/Bf7m/sf+pv6C/lv+Nv4V/ff93P3C/ab9iv1u/VH9M/0U/PP80Pyt/Iv8a/xO/DH8E/v1+9f7ufuc+4D7ZftI+yr7Cvro+sX6ovqA+l/6Qfol+gr57/nS+bP5kflw+VP5Ofkk+RD4+vjj+Mr4sfic+Ir4e/hs+Fz4Svg2+CD4DPf69+r32/fN97/3sfej95X3hvd292X3VfdE9zT3JfcW9wf2+fbq9tz2zfa+9q/2nvaO9oD2dPZq9mL2W/ZU9k/2TfZN9lH2V/Zc9l/2XvZb9lj2V/ZY9lz2YPZj9mX2ZvZp9m72dfZ79n/2gfaB9oD2gfaE9oj2ivaL9or2ifaJ9ov2jvaR9pP2k/aS9pP2lvaa9qD2pfas9rX2wfbP9t326Pbw9vP29Pb29v73DPcg9zj3UPdn93v3jPeb96j3tPe+98f3zffT99n34Pfp9/T4APgK+BP4Gfgf+CP4Jfgh+BT3/vff9773ofeL94D3fveD94v3l/ej97D3uve+97n3rfec94v3fvd293D3avdk9133WfdX91n3XPdd91r3UvdF9zb3JvcX9w73C/cR9xz3Jvcp9yT3HPcd9zb3afer9+L38vfH92P23/Zi9gv16vX09hH2JvYi9gj15/XP9cb1yfXM9cT1r/WX9Yj1ivWh9cb17vYS9iz2P/ZO9lz2Z/Zw9nX2dPZv9mX2V/ZF9i72EvXz9dP1svWR9W31Q/UT9Nv0nfRf9CPz7/PG86fzkPN982zzW/NL8z/zOfM58z3zQfND80PzQvNC80bzSvNN803zR/M/8zfzMvMy8zTzMvMr8x7zEPME8v/y//MA8v/y9/Lo8tbyx/K98rvyvfLB8sPyw/LD8sPyxfLJ8s3y0PLS8tXy2vLi8uvy9fL98wXzDfMV8x/zKfMz8zzzRPNL81LzW/Nk82/zefOF85HznvOq87bzwfPM89fz4/Px8/70CfQQ9BL0EvQS9BX0G/Qk9C/0OvRE9E30V/Rh9Gz0ePSC9I30mfSn9Lj0y/Th9Pj1D/Uk9Tj1S/Vc9Wv1efWE9Y71lvWe9af1s/XA9c/13fXp9fP1+/YD9g72HPYs9j32TvZc9mf2cvZ89oj2k/ae9qj2r/a19rv2wvbK9tP22vbf9uP25fbo9ur27vby9vf2/fcC9wf3C/cN9w/3EfcU9xj3H/co9zP3QfdQ92H3c/eD95D3mvej96z3uffI99r36/f6+AX4DfgU+Bv4JPgt+DX4O/hB+Ef4Ufhd+G34ffiL+Jj4pPiw+Lz4yPjT+Nv44Pji+OT45fjn+On46/js+Oz47Pjt+O/48fj0+Pf4+fj7+Pz4/fj7+Pf48fjp+OH42/ja+N745/j1+QX5Ffkk+TL5P/lN+V35bvl/+ZD5nvmp+bP5v/nO+eL5+voS+ij6OfpG+k76Vfpd+mf6c/qC+pP6pPq1+sT60frc+uX67/r6+wX7EPsZ+x/7Ifsi+yP7JPsm+yn7K/sr+yj7Jfsh+xz7GfsV+xL7D/sM+wv7CvsK+wr7CvsI+wf7BPsB+v76+frz+u365/ri+uD64frk+uf66vrq+uf64/re+tv62vrb+t364frj+uT64/ri+uH64fri+uL64/rj+uT65fro+u769vsB+w37Gfsj+yv7Mvs4+z77Q/tI+0v7T/tV+137aPt2+4T7kPuY+5/7p/u2+8/78fwY/Dv8UvxZ/FL8Q/w3/DT8PvxO/F38YfxY/ET8K/wW/An8BPwG/Aj8CfwJ/A78Gvwz/FX8f/yp/ND88f0M/ST9O/1S/Wv9hP2b/a/9wf3R/d/97f35/gP+C/4R/hf+H/4n/jH+Ov5D/k7+Wv5s/oL+m/6z/sf+2f7r/wH/H/9B/2L/ff+O/5n/pv+8/+AADAA5AF0AdQCHAJoAtQDbAQUBKwFHAVkBaQF9AZkBuwHYAeoB7AHiAdIBwQGwAZwBgAFdAT0BLgE/AXoB3AJYAtwDVwO8BAYENQRMBE4EPwQnBBEEBwQTBDkEdgS+BQAFMAVGBUMFMAUZBQoFBgUNBRgFIAUhBRwFEgUHBPsE6gTQBK0EhARcBD8EMgQ0BEIEVARnBHsElQS6BOwFKgVuBbEF8AYoBlgGfwadBq8GtQayBqsGqga0Bs4G8wcaBzoHSQdCByQG9ga9BoIGRwYOBdYFnAVhBSgE9wTWBMgE0ATqBQ4FNQVVBWsFdAV0BW4FZwVkBWMFZQVnBWcFZwVoBW8FfgWTBawFxAXXBeQF6QXqBekF5AXdBdQFywXEBcEFwwXIBcwFzQXKBcUFwQXBBcQFyAXLBcwFzgXVBeMF+QYVBjEGSAZWBlwGWwZaBl4GcAaUBs8HHAdzB8gIEwhRCIQIsQjaCP4JEQkGCNkIiwgqB8UHZQcGBpwGGAVzBLoEAwNtAwwC5gLtAwoDJwM4AzsDNwMzAzMDMwMtAx0DAwLiAsACngJ9Al0CPgIkAhcCHgJCAoUC5QNbA+EEawTyBW8F3gY8BowG0QcQB0wHhwe+B+8IFggyCEAIQgg7CC0IHQgQCAkICQgQCBoIJAgsCDIIOQhBCEsIVgheCGMIZwhsCHUIggiSCKEIrAizCLgIvgjHCNAI2AjbCNoI2AjaCOEI7Aj6CQQJCwkRCRoJKQk+CVUJaAl3CYEJjAmaCa4JwwnWCeIJ6AnsCfEJ+goGChEKGQogCigKNQpGClkKawp2CnsKewp7CnwKfwqDCoUKiQqQCpwKqwq7CsUKxgrACrgKswq3CsEKzgrVCpYKfgpcCjcKFgoACfcJ9wn+CgYKDAoQChQKGwomCjMKQQpJCkcKOwopChoKEgoVCh8KKAosCiYKGAoICfkJ7QniCdQJwQmrCZQJgQl4CXUJeAl7CXsJeQl1CXMJdgl+CY0JoQm4CdEJ5wn5CgcKEwofCi8KRwpkCoUKpAq8Cs4K2wroCvgLDQsoC0gLaAuGC6ILuwvRC+YL/AwTDCsMQgxXDGgMdAx8DIQMjwyeDLIMyAzcDOoM8AzxDO8M8Az1DQENEQ0hDSwNLQ0iDQwM8AzUDMEMuwzEDNcM7w0EDRMNHA0jDSwNOg1LDV0NbQ16DYUNkg2jDboN1Q3xDgsOIQ42DksOYw59DpgOsQ7HDtkO6w78Dw8PJQ88D1QPbA+ED5wPtQ/RD+8QERA1EFwQgRCkEMIQ2RDtEP8RFBEtEUgRYRFxEXgRdRFtEWYRZBFoEW0RcRFwEWoRYBFWEU0RRhE+ETYRLhEpESgRLBExETMRMhEsESURIBEeERwRFhEHEO0QyxCkEH8QXRA+ECEQBw/xD+MP3w/kD+4P+A/9D/wP+A/zD+4P5w/dD80Ptw+eD4YPcg9kD1oPUw9ND0YPPQ8yDyUPFQ8EDvQO6A7gDtoO0g7HDrcOow6ODnwObQ5iDlgOTQ5ADjIOJA4YDgwOAA3yDeMN0g3BDbINpQ2dDZoNmg2cDZ0NnQ2YDZENiQ2BDXoNdw11DXQNdg15DX0Ngg2GDYcNhg2EDYMNhA2HDYsNkA2UDZUNlA2QDYYNeA1lDVINQw0+DUQNUQ1eDWQNXg1PDTkNIw0QDQEM8gzkDNQMxQy3DKgMkgxxDEIMCQvNC5ULYws1CwMKxwqACjMJ6gmqCXQJQwkPCNYImQhlCEEIMQguCCsIGgf0B78HiAdfB0sHTQdZB2IHXQdJBygHAwbiBsYGrQaVBnoGWgY6BhkF+wXfBcQFqAWMBW0FTQUsBQsE6gTKBKoEigRrBEsEKQQGA+MDwAOgA4EDZANJAy4DEgL2AtkCuwKbAnoCWgI8AiECBwHtAc0BpgF4AUgBGwD2ANsAyAC2AJ8AgQBeADsAHQAG//T/4P/F/6H/dv9L/yP/Af7k/sf+p/6D/lv+NP4Q/fD91P27/aL9iP1u/VP9N/0Y/Pb80vyt/In8aPxJ/Cz8D/vz+9f7u/uf+4P7ZvtI+yj7CPrm+sT6ovp/+l/6QPok+gn57vnR+bP5k/l1+Vr5Qvks+RX4/fjj+Mj4r/ia+Ij4ePhp+Ff4RPgw+Bz4CPf29+X31PfF97f3qfec9433fPdp91f3Rfc19yf3GvcM9v327fbc9sz2vvaw9qL2k/aE9nT2Z/Zc9lP2SvZD9j32OfY69j/2RvZN9lD2T/ZL9kb2Q/ZD9kb2SvZM9k32TPZN9lD2VfZa9l32XvZe9l/2YvZn9mz2b/Zw9m/2bfZs9m32b/Zw9nD2cPZw9nL2dfZ59n32gPaD9on2lPaj9rT2w/bO9tP21PbV9tn25Pb09wr3Ivc591D3ZPd294b3k/ee96f3rfex97X3uvfA98n30vfc9+X37Pfz9/n3/ff99/j36/fV97r3nPeB9233Yfdf92X3cfd/9433l/ea95j3j/eD93f3a/dg91X3Svc+9zX3MPcy9zn3QvdI90n3Qfcy9x/3C/b69vD27vby9vn2+/b59vP28vcC9yf3XfeT97H3ofdc9uz2b/YD9cH1rfW49c311fXI9az1j/V79XT1d/V49XD1YPVM9Tv1M/U29UD1UPVk9X/1oPXF9ej2BPYW9hz2GvYS9gb19PXa9bj1j/Vi9TX1C/Th9Lb0hvRR9Bfz3fOo83rzVfM68yfzGfMO8wLy9vLp8t7y2PLX8tvy4vLo8u3y8PL08vjy/fMC8wLy/fL08uvy5PLi8uPy4vLd8tLyxPK38rDyrvKw8q/yqfKd8o7ygPJ28nPyc/J18nbydfJ18nbyefJ88n/ygfKC8oXyi/KV8qHyrfK48sDyyPLR8tvy6PLz8v7zBvMN8xTzHfMo8zPzPvNJ81TzX/Nr83jzhPOQ85rzpfOx873zyfPU89zz4fPk8+fz6/Px8/j0AfQL9Bb0I/Qw9D70S/RY9GP0bvR59IX0k/Sj9Lb0yvTf9PT1CfUe9TL1RfVU9WH1a/Vz9Xv1hfWR9Z/1r/W+9cv11vXh9ez1+fYI9hb2I/Yu9jn2RPZS9mL2c/aD9pD2mPad9p/2ovam9qz2tPa99sX2zvbX9t725vbs9vP2+Pb89v/3AvcE9wb3B/cH9wf3B/cH9wn3DvcX9yX3NPdD91D3Wvdi92z3efeL96D3tvfJ99f34vfr9/T3/vgJ+BT4H/go+DL4PfhJ+FX4Yfhs+Hf4gviO+Jz4qfi1+L74wvjF+Mb4yfjO+NP42Pja+Nr42PjV+NL40fjQ+NH40/jV+Nj42/jc+N343PjZ+Nf41fjW+Nr44fjq+PX5APkK+RX5IPkt+T35Ufln+X75k/ml+bT5wfnP+d357fn++g36Gfoh+if6Lfo1+kH6Ufpl+nr6j/qi+rH6v/rK+tT63vrp+vT6//sH+wz7D/sQ+xH7E/sU+xf7GPsX+xP7DvsI+wL6/Pr3+vL67vrq+uj65vrm+ub65/rp+ur66vrp+ub64fra+tL6yvrD+r/6vvq/+sL6xPrF+sX6w/rA+r36vPq8+r36vvq/+sD6wfrB+sH6w/rF+sj6yvrL+sv6zPrN+tD61frd+uf68fr8+wf7Efsd+yj7M/s++0j7UPtZ+2P7bft3+4D7hvuK+477l/uo+8T76fwP/C38Pfw8/C78G/wQ/BH8IPw1/Ef8S/xB/Cr8D/v4++v76Pvr++778Pvx+/X8AvwZ/Dr8YfyI/Kv8yfzj/Pv9FP0v/Uv9Z/1//ZT9p/24/cn92v3q/fb9//4D/gb+Cf4P/hj+JP4x/kD+Uv5p/oP+nf61/sf+1f7j/vX/EP8v/0//aP94/4L/jf+i/8X/8QAfAEYAYABxAIEAmQC8AOcBEQE0AUwBXgFvAYUBoQG/AdYB4gHjAdwB0AHCAbABlgF1AVABMQEkATABWQGdAfMCUQKvAwYDUwOSA8QD6gQHBCIEQARmBJQExwT6BSQFQQVQBVMFUQVQBVYFYwVzBYIFiQWIBX4FbwVeBUoFMgUUBPAEyQSkBIUEcQRoBGcEagRyBIAElgS3BOQFGAVQBYgFvQXxBiIGUAZ3BpIGnwagBpsGmgajBroG3AcEByYHOwc8ByoHCAbdBq4GgAZUBioF/wXUBagFgAVhBVAFTgVaBXAFiAWdBasFsgWzBbMFtAW3BbsFvwXDBcYFywXWBegF/wYXBisGNwY4BjEGJwYgBhwGHQYeBh4GGwYXBhYGGAYeBiUGKQYoBiMGGwYUBhAGDgYPBhMGGgYlBjQGRwZaBmoGdgZ5BnUGbAZfBlMGUAZZBnUGogbeByEHZAekB+EIHAhXCI8IvgjbCOMI1wi8CJYIZAgeB7gHKgZ5BbkFCASEBD0EMQROBHUEjwSMBGwEOwQEA9EDowN4A08DJAL5AswCnAJnAikB4gGZAVYBJwEZATUBfgHyAokDNgPuBKEFRgXUBkgGpAbuBysHYgeXB8sH/AgmCEMITwhICDQIFwf9B+oH5AfpB/QIAQgLCBMIGggiCCoIMgg4CDwIQAhICFQIZQh3CIYIkAiWCJoIogitCLkIwwjHCMcIxQjHCNAI3QjsCPgJAAkGCQ8JHQkxCUUJWAllCXEJfQmNCaEJtQnECc0JzwnRCdUJ3gnrCfgKAQoICg8KGQomCjYKRQpQClcKWwpeCmEKZQppCm0KdAqACpIKpgq3Cr8KuwqtCpsKjwqMCpMKnAqfCjcKHgoBCecJ1wnQCdIJ1wnbCdkJ0gnJCcEJvwnGCdQJ5gn2Cf8KAQn9CfcJ8wnzCfUJ9AntCeEJ0QnCCbQJqAmZCYUJawlOCTYJJwklCSwJNwk/CUIJQAk9CT0JQglOCV8JcQmECZYJqAm5CckJ2gnsCgEKGwo3ClQKbwqFCpcKpgq4Cs8K7AsNCy8LTQtoC38LlAupC8AL2AvwDAUMFwwmDDAMOQxBDEwMWwxtDIEMkwyiDKwMsAyzDLYMvgzJDNYM3wzhDNoMzQy9DK8MpQyiDKUMrAy1DL8MyQzVDOEM8A0ADRENIQ0xDT4NSw1XDWUNdg2NDagNxQ3jDf8OGA4uDkMOVg5qDn4Okw6nDrkOyg7aDusO/Q8QDyYPPQ9VD24PiA+jD8AP4RAEECkQThBvEIwQoxC3EMwQ4RD4EQ4RHxEnEScRIBEWERARDhEQERQRFhEWERMRDxEKEQYRABD3EO0Q4xDdENwQ4BDmEOsQ7RDrEOgQ5xDoEOgQ4xDYEMQQqRCJEGgQRBAeD/QPyg+jD4QPcQ9qD24Pdw+CD48Pmw+nD7EPtQ+wD6IPjQ91D14PTQ9BDzkPNA8wDysPJA8cDxAPAg7yDuIO1A7LDsMOuw6wDp8Oig51DmIOUw5IDj8ONQ4pDhsODQ4ADfUN7A3kDdsNzw3BDbINpA2bDZgNmw2lDbANuw3ADb8NuA2sDZ0NjQ19DW4NYQ1YDVQNVA1XDVwNYA1kDWkNcQ17DYYNjw2UDZMNjA2ADXANXQ1JDTcNKg0kDSUNKg0uDSwNIA0MDPQM3AzIDLgMrAyhDJcMjQyEDHoMaQxODCUL8gu7C4YLWQsyCwkK2AqaClIKBQm6CXYJNwj6CL4IhghYCD0INwg/CEoISAgvB/8HwQeFB1kHQQc7Bz4HPQcyBxsG/AbaBroGngaEBmoGTgYwBhAF7wXQBbEFlAV4BV0FQQUlBQgE6gTLBKsEiwRpBEgEJQQDA+EDwAOgA4IDZQNIAywDEAL0AtcCuAKYAncCVwI6Ah8CBgHrAcoBogF0AUQBFwDzANYAwACqAJAAcQBQAC8AFP///+z/1/+7/5f/b/9G/yH/Av7l/sj+qP6C/lr+M/4O/e790v24/aD9iP1v/VT9N/0X/PX80fys/In8aPxK/C38Efv2+9r7vfug+4H7YvtB+yD7APrf+r/6nvp/+mD6Qvol+gn56/nM+a35j/lz+Vr5Q/kt+RX4+/jg+MX4rfiY+Ib4dfhj+FD4PPgn+BT4Avfx9+D3z/e/96/3ofeT94P3cfde90v3Ofcr9x73EvcD9vL23vbL9rr2rfah9pX2ifZ69mz2X/ZU9kv2QvY59jH2K/Yq9iz2MfY29jj2NvYy9i32KvYq9iz2L/Yw9jH2MvY09jf2O/Y99j32PfY99kD2RvZN9lP2V/ZX9lb2VfZW9lf2V/ZW9lP2UPZQ9lL2V/Zc9l72X/Zf9mP2bPZ79o32n/ar9rL2tPa09rj2wPbP9uP2+/cT9yr3QPdU92X3dPeB94r3kveW95n3mveb95/3pfeu97j3wvfK99H31ffX99f30vfF97D3k/d091f3Qvc59zz3SfdZ92n3c/d293T3bfdj91n3TvdC9zX3Kfce9xj3GPcc9yT3LPcw9y/3J/cY9wX28Pbd9tD2y/bL9s32zfbK9sf2yvbb9vv3Ifc+9z73FvbG9mD1+/Ww9Yr1hPWO9ZX1jfV19VX1OvUq9Sb1J/Uk9Rn1BfTu9Nb0w/S09Kz0r/TA9OL1EfVG9Xb1mPWp9av1ovWT9X/1ZfVC9Rb05PSx9IH0VfQr8//zz/Ob82nzPPMX8vvy5vLU8sTytvKr8qHymfKR8oryhPKB8oLyiPKQ8pjynvKk8qfyqvKs8qvyp/Kg8prylfKT8pPyk/KO8oXyd/Jq8mHyXfJd8l3yWfJR8kXyOPIv8inyJ/In8ijyKfIr8i/yNPI58jvyO/I78j3yQ/JO8lryZ/Jx8nnygfKL8pfypfKy8r7yx/LP8tjy4/Lv8vzzBvMP8xfzIPMq8zbzRPNQ81rzZPNt83jzhfOT86Lzr/O588DzxfPJ887z1fPc8+bz8vP+9Az0G/Qo9DX0QfRL9Fb0YfRt9Hz0jPSe9LL0x/Td9PP1CPUb9Sz1OvVF9U/1WvVm9XT1g/WS9aH1rvW69cf10/Xg9ev19vX/9gn2FPYj9jT2R/Za9mn2dfZ99oL2hvaL9pH2mfah9qr2tPa89sX2zfbV9t325Pbr9vL2+Pb99wH3A/cE9wT3Afb+9vv2+vb89wP3DfcY9yT3Lvc590T3Ufdh93P3hveW96T3r/e598P3z/fc9+v3+vgI+Bb4I/gu+Dj4QPhI+FD4W/hp+Hn4ifiX+KD4pfin+Kj4qviu+LP4uPi8+L34u/i4+LX4sviw+K/4rviv+LH4tPi3+Lv4vvjC+Mf4zPjR+Nf43Pjf+OL45Pjl+Of47Pj0+QP5GPky+U/5bPmF+Zj5pvmw+bn5wvnN+dj54/nt+fb6AfoN+hz6L/pF+lv6cfqG+pj6qfq4+sb60/rf+un68Pr0+vX69Pry+vL68vrz+vb69/r3+vb68vrt+uf64vre+tv62PrV+tL60PrO+s36zfrO+s/60PrQ+s76yvrE+r36tfqu+qf6o/qf+pz6m/qa+pn6mfqa+pv6nfqe+qD6ofqh+qL6ovqj+qT6p/qq+q36sPqy+rP6s/q0+rb6ufq/+sf60frb+uf69PsD+xL7Ivsx+z/7TftZ+2T7bvt3+337gPuD+4b7j/uf+7j71vvy/AX8C/wE+/b76fvm+/H8CPwh/DT8OPws/BX7+fvj+9X70fvT+9f73Pvh++n7+PwO/Cv8TPxs/Ir8pPy7/NP87P0I/SX9QP1Z/W/9gv2V/aj9u/3N/dv95f3q/ez97/32/gD+Dv4g/jT+Sv5k/n/+mv6y/sT+0v7e/u3/Af8Z/zP/Sv9a/2f/df+M/6//2gAHAC4ASgBdAG0AggCgAMgA8QEXATQBSgFcAXEBiQGlAb4B0gHeAeMB4gHcAdEBvwGmAYcBZgFJATcBMgE/AVwBiAHBAgUCUAKfAvEDQwOTA+IELgR1BLQE5wUOBSkFOQVEBU8FXQVzBZAFsQXSBewF+gX6BekFzAWlBXkFTAUiBPwE3QTFBLIEpASYBI4EhwSGBI8EpQTFBO4FGgVFBW8FlwXBBe4GHQZIBmoGgQaMBo8GkAaWBqMGtwbOBuMG8gb3BvAG4AbJBq0GkgZ5BmIGTQY4BiIGDAX4BekF4QXiBekF9AX+BgUGCAYJBgkGCgYNBhEGFAYXBhwGJQYzBkgGXwZ0BoEGggZ6BmwGYAZaBl4GaAZzBnoGegZ0BmwGZQZiBmMGZQZmBmMGXgZWBlAGSwZJBkwGUwZdBmkGdAZ9BoQGiAaLBowGjAaIBn8GcwZoBmMGaQZ9Bp4Gygb9BzMHbQepB+cIIwhcCI0IswjOCNkIzQikCFcH5wdeBtMGXwYXBgQGHAZLBnUGhAZvBjcF6AWRBT4E9AS1BH8ETwQjA/kDywOUA08C+QKUAiQBtAFRAQsA7wEKAV8B7QKnA3wEVwUjBdIGWwa/BwUHOQdnB5YHyAf6CCEINwg3CCMIAwfkB84HxgfMB9oH6AfzB/gH+gf8CAAIBAgJCA0IEwgcCCsIPQhPCF8IaghxCHoIhQiVCKYItAi8CL4IvwjCCMoI2AjmCPMI+wkBCQcJEgkgCTAJPglKCVUJYAlvCYEJkQmeCaUJqAmsCbMJvwnOCdwJ5gnuCfMJ+goCCgwKFAocCiIKKQoyCjwKRQpLCk4KUgpZCmUKcwp/CoMKfQpuClwKUApKCksKTApGCeIJzAm2CagJpAmoCbEJuAm6CbYJrQmiCZoJlgmYCaAJrAm4CcAJxAnDCb4JuAmwCaUJlgmCCWsJVAlBCTIJJgkZCQoI+QjpCN8I3wjpCPgJBwkQCRIJDgkLCQwJEwkfCSwJOQlGCVMJYwl3CY4Jpgm/CdYJ7goGCh0KNApLCmIKewqWCrUK1ArzCw8LJgs7C08LZguBC54LuQvQC+AL6wvxC/cL/wwKDBkMKww+DFAMXwxqDHEMdwx+DIcMkwyfDKYMpAyZDIcMdgxrDG0MeQyLDJsMpQylDKEMnwykDLMMygzjDPkNCg0VDR4NKA02DUkNYQ17DZYNsw3PDesOBQ4dDjIORA5UDmQOdQ6GDpgOqg67DsoO2w7sDv8PFQ8rD0MPWg9zD40PqQ/ID+kQCRAnEEEQWRBvEIUQmxCvEMAQyxDQENAQzRDKEMkQyRDKEMkQxxDDEL8QuxC6ELcQsxCsEKMQmxCXEJgQnhCnEK0QsBCwEK4QrBCrEKcQoBCUEIMQbhBXED4QIxACD90Ptg+QD3EPXA9RD04PUQ9XD18PaQ90D30PgQ9/D3UPZQ9SD0APMg8oDyAPGg8UDw4PBw7/DvQO5w7ZDskOvA6xDqgOoA6VDoYOdA5fDkwOOw4tDiMOGQ4PDgUN+w3xDekN4g3cDdUNzA3ADbINpQ2bDZgNnQ2rDb4N0Q3eDeMN3g3QDboNoA2DDWcNTQ06DS4NKQ0qDS0NMg02DT0NRw1WDWYNdQ1+DX4NdQ1lDVMNQA0vDSANFQ0LDQUM/wz5DPAM4QzNDLYMnQyGDHIMYwxYDFEMTAxHDEEMNAwcC/cLxwuSC10LLwsHCuAKtgqECkkKBgnBCX0JOgj4CLYIeAhECCEIFAgYCCQIKggeB/wHyAeOB1oHNgckByAHHwcaBwsG8gbSBrAGkAZzBloGQQYnBgoF6gXIBacFhwVqBU8FNQUcBQIE5gTJBKoEigRpBEgEKAQHA+cDyAOpA4kDagNLAy0DEALzAtYCtwKXAncCVwI7AiICCgHwAdEBqwGAAVIBJgD/AN8AwgCmAIkAagBLAC0AE//9/+f/z/+y/5D/a/9H/yX/Bf7m/sb+o/59/lb+Mf4P/fD91f27/aH9h/1s/U/9MP0O/Ov8yPyl/Ib8aPxN/DP8Gfv+++L7xPuk+4P7Yfs/+x36/Prc+rz6nvqB+mT6R/oq+gv56/nK+an5ivlu+Vb5P/ko+RD49vjb+MP4rvic+Iv4efhl+E/4OPgi+A/3/vfu9933zfe896z3nPeM93z3avdX90T3NPcl9xj3Cvb69ub20va/9q/2ovaY9o32gPZy9mX2WPZO9kX2PfY09iv2IvYc9hr2GvYa9hr2GPYV9hL2EfYR9hL2E/YT9hP2FfYZ9h72IvYk9iT2JPYm9ir2MfY49j32PvY99jz2PPY+9kD2QfY+9jn2NPYy9jX2OvY/9kL2QvZB9kP2S/ZZ9mr2e/aH9o32j/aP9pL2m/ar9r/21/bw9wj3Hvcx90D3TfdZ92P3bPdy93b3dvd293f3fPeG95P3n/eo96v3rPes96z3rfep9533h/dp90j3Lfcd9xv3Jfc190T3TvdR90/3SvdD9zr3Lvch9xP3B/b/9v32//cE9wf3CPcH9wP2/Pbx9uH2zva69qr2ovah9qX2qvar9qr2qfau9rj2wvbB9qr2dvYt9dz1mPVv9WL1aPVx9W31V/U19RL09/To9OP03fTR9Lv0nvR99F70Q/Qu9CP0J/Q99Gf0nfTW9QP1HfUi9Rf1AvTq9M70rvSG9Fj0J/P689Lzr/ON82bzOvMM8uHywPKp8pryjfJ98mryV/JJ8kHyPvI+8jvyN/Ix8i7yMPI28j/ySPJO8lDyUfJQ8k/yTvJL8kjyRfJC8kHyPvI68jLyKPId8hTyEPIP8g/yDvII8f/x9PHp8eHx3PHb8dzx4PHn8e7x9fH78f3x/fH88f7yBPIM8hfyIfIp8jHyOfJE8lPyY/Jy8oDyivKU8p7yqvK38sPyzPLT8tfy3fLm8vLzAfMO8xrzI/Mr8zbzQ/NV82jze/OL85fzn/Ol86rzrvO087rzwfPJ89Pz3/Pt8/z0DPQb9Cr0OPRG9FP0YvRx9IL0k/Sl9Lj0y/Td9O/1APUP9R71LPU79Ur1WvVq9Xr1iPWV9aH1rPW39cL1y/XU9d716PXz9gH2EfYh9jD2P/ZN9lr2ZfZw9nr2gvaK9pH2mPaf9qb2rva39sD2yfbS9tr24vbn9uz28Pbz9vb2+Pb59vr2+vb79v73BPcM9xb3IPcr9zT3PfdG90/3Wvdl93D3fPeI95T3ofev9773zffc9+v3+fgF+A/4F/gf+Cn4NvhH+Fn4avh4+IH4hviI+In4iviM+I/4kviU+JT4lPiT+JH4kPiP+I74jviQ+JL4lPiX+Jr4nvij+Kn4sfi5+MD4xfjH+Mj4x/jF+MX4x/jN+Nj46Pj++Rf5MPlE+VP5XPli+Wb5bfl5+Yj5m/mu+cH50vnj+fT6BvoZ+iz6QPpU+mn6f/qV+qv6vvrO+tn63/rf+tv61vrR+s36zPrN+s760PrR+tD6zvrK+sf6xfrE+sT6xfrG+sX6w/rA+rz6uPq1+rT6svqx+q/6rPqp+qX6ofqd+pf6kvqL+oX6fvp6+nf6dvp4+nr6fvqB+oT6hvqH+of6h/qJ+or6jfqR+pT6l/qZ+pr6m/qc+p76ovqn+q/6ufrE+tD63vru+v77Dvsf+y/7PvtM+1n7ZPts+3L7dPt2+3n7gvuQ+6P7uPvJ+9L70fvJ+8D7vPvE+9j79PwP/CH8JPwZ/AT76/vU+8X7vvu9+8D7x/vR+9/78vwK/CX8Qfxc/HT8ivye/LP8yPzf/Pj9Ef0p/T/9U/1m/Xr9jf2f/a/9u/3E/cr90f3b/ej9+f4N/iP+O/5V/nD+i/6l/rv+zP7a/uf+9f8G/xn/K/89/03/YP95/5r/wf/rABEAMABHAFsAcQCMAK0A0QD0ARMBLQFEAVoBcQGJAaIBuAHLAdkB4gHoAegB4gHXAcUBrgGTAXgBXwFMAUEBQwFTAXIBoAHdAiYCfALcA0MDrgQWBHQEwgT9BSYFPwVPBV0FbgWHBagF0QX8BiQGQAZIBjoGEwXZBZUFUgUaBPIE3QTXBNgE2wTaBNYE0QTTBN8E+AUaBUEFZgWIBaUFwgXjBgkGNAZeBoQGoQa0Br8GxQbKBs4G0wbXBtsG3gbeBtsG1QbLBr4GsgapBqQGowaiBp4GlAaFBnMGYgZVBk4GTQZQBlMGVQZXBlgGWQZcBl8GYwZnBmwGdAZ/BowGmgakBqgGpQacBpMGjQaOBpcGpAavBrQGsQamBpYGhwZ8BnYGdgZ5Bn4GgQaBBn8GfAZ5BnkGewaBBogGjgaSBpUGmQaiBq4GvQbKBs4Gxga1BqEGkQaMBpcGsAbRBvcHHwdIB3QHpQfbCBUITAh7CJoIowiRCGYIJQfbB5cHaQdaB2oHkAe8B9wH4wfMB5kHVQcKBsIGggZNBiEF/QXfBcMFqAWJBWEFKQTXBGYD0wMlAmwBwAE+AQEBGQGIAkIDLAQlBRAF0wZlBsgHCAc0B10HiQe5B+UIAwgMCAEH6AfOB70HuwfGB9gH6AfxB/IH7gfqB+kH6gfuB/EH9gf+CAoIGQgrCDwISQhVCGAIbgh/CJEIoQisCLIItQi6CMEIywjWCOAI5gjqCO8I9gkBCQ0JGAkjCSwJNglCCVAJXglqCXQJfgmJCZcJpgm3CcUJ0AnaCeEJ6AntCfAJ8QnxCfMJ+goGChQKIQonCiUKHwoYChQKFQoXChcKFAoNCgUKAQoBCgIJ/wn1Ca8JnQmOCYUJgwmGCYoJjQmNCYsJiQmICYkJjAmQCZMJlgmXCZQJjgmDCXUJYwlOCTYJHAkACOQIzAi6CK4IpwijCKAInwifCKUIsAi/CM8I2gjeCNwI2AjXCNoI4gjtCPgJAgkNCRoJLAlECWAJfQmXCa8JxAnXCe0KBQogCj4KXQp9CpwKtwrOCuAK8AsCCxkLNQtWC3cLkgulC7ALtAu4C78LygvbC+0MAQwSDCIMLgw5DEMMTAxWDGAMagxwDG4MZAxSDD8MMww0DEQMXgx6DI0MkQyIDHkMcAx0DIcMowzCDNsM6wz1DP0NCg0dDTYNUg1sDYQNmg2xDcoN5A3+DhUOKA43DkUOUw5jDnQOhg6YDqgOuQ7KDtwO8A8FDxoPLw9ED1oPcQ+JD6MPvA/VD+wQAxAaEDEQRhBYEGYQbhBzEHYQeRB9EIIQhRCGEIMQfRB1EG8QaxBpEGgQZhBiEF4QWxBaEF4QYxBqEG4QcRBxEHAQbxBsEGcQXhBSEEIQMBAeEA0P+Q/jD8oPrw+VD38Pbw9kD1wPVg9QD0sPSA9HD0gPSQ9GD0APNg8pDxwPEA8GDv0O9A7rDuIO2g7SDsoOwQ63DqwOoQ6XDo4OhA54DmsOWw5IDjUOIg4SDgQN+w30DfAN7A3nDeEN2Q3RDcgNwA23Da0NpA2dDZ0NpQ21DcwN4w31Df0N+g3sDdQNtw2WDXUNVw0/DS8NJw0kDSMNIg0fDR4NIA0oDTQNQA1JDUoNQw03DSkNHg0VDQ0NBQz6DOwM3gzQDMQMtgymDJAMdwxcDEIMLQwdDBUMEAwMDAYL+gvkC8ULnAtsCzsLCQraCq0KfgpNChkJ4gmoCW4JMQjyCLAIbQgwB/8H4AfSB9EH1AfQB78Hnwd2B0sHKAcRBwYHAgb/BvQG4QbFBqQGgwZlBksGMwYcBgMF5gXHBacFhwVqBVAFNwUeBQQE6ATLBKwEjARtBE0ELgQQA/ID1AO1A5QDcgNQAy8DEALyAtQCtQKVAnQCVAI3Ah0CBQHsAdEBsQGLAWIBOQERAO0AygCpAIgAaABJACsAEP/2/9z/wf+j/4T/Zf9F/yX/A/7g/rr+lP5u/kv+K/4O/fP92P28/Z/9gf1j/UT9I/0B/N78u/ya/H38Y/xM/Db8HvwF++n7yvup+4f7ZPtC+yD6/vrd+r36nvqB+mT6R/oq+gz57PnK+an5i/lv+VX5Pfkl+Qv48fjY+ML4sPig+JH4f/hq+FH4OPgh+Az3+vfq99v3y/e696n3l/eG93P3YPdO9zz3K/cd9w72//bt9tr2yPa39qn2nfaS9oX2d/Zn9lj2S/ZB9jn2MfYo9h72FfYN9gj2BfYC9f/1/PX69fr1+/X79fv1+fX39fb19/X79gH2BfYI9gn2CvYN9hP2G/Yg9iL2IPYc9hr2G/Ye9iP2JfYi9h32F/YV9hf2HPYh9iP2I/Yh9iL2KvY39kf2VfZf9mP2Y/Zi9mX2bvZ99pL2q/bG9t/29vcH9xX3H/co9zH3OvdD90j3SfdJ90v3Uvde9273fPeF94X3gfd893z3gPeF94T3d/de9z73HvcI9v/3A/cN9xn3Ifcm9yf3J/ck9x33EfcB9vD24vba9tn22/bb9tn21PbO9sn2xvbC9rj2qPaT9oH2ePZ79oX2j/aT9ov2fPZq9lv2T/ZB9ij2APXL9ZX1afVS9U71VPVX9Uv1MPUL9Of0zPS69K30nfSF9GT0PvQX8/Xz2PPE87zzw/Pd9Af0OfRn9Ib0j/SE9Gv0TfQw9BPz9PPQ86fzf/Nc8z/zKPMP8u/yyfKf8nryXvJO8kPyN/Im8hHx/PHt8efx6PHs8e3x5/Hf8dfx1vHb8ebx8PH38frx+/H68fvx/fH98fvx9vHw8enx4/Hf8dvx1vHR8c3xyfHI8cfxxvHB8brxsPGm8Z3xmPGW8Znxn/Gn8a/xt/G88b7xv/G/8cHxxvHN8dTx2/Hh8enx8/IA8hHyI/I08kLyTvJX8mLybvJ78obyj/KV8pnynvKn8rLywPLN8tny4vLr8vfzBvMZ8y/zRPNX82bzcfN684Dzh/OM85HzlfOZ857zpvOz88Pz2PPt9AP0F/Qp9Dn0R/RU9GH0bvR69If0lPSj9LL0wvTT9OX09/UK9R31MPVD9VT1ZfVz9YD1i/WW9aD1qfWy9bv1xPXM9dT13fXo9fX2BPYU9ib2N/ZH9lT2XvZm9m72dfZ99ob2j/aZ9qP2rPa19r32w/bH9sr2zPbQ9tb23fbl9u328/b49v33A/cL9xT3Hfcl9yn3Kvcq9yn3LPcz9z/3Tvde92/3fveM95n3pfez98H3zvfb9+b38ff8+An4GPgp+Dr4SfhU+Fz4YPhj+GX4Zvho+Gn4avhq+Gn4afho+Gj4afhq+Gz4b/hy+HX4ePh5+Hn4evh7+ID4hviN+JT4m/if+KP4p/ir+LH4t/i/+Mf40vje+Or49fj9+QH5AvkC+QT5Dfkc+TL5S/ll+X35kvmj+bL5v/nM+dn56Pn6+g/6KPpF+mP6gPqY+qj6sfqz+rD6rPqo+qb6pvqn+qn6qvqq+qn6p/qk+qL6ofqi+qP6pvqo+qn6p/qk+qD6m/qW+pH6jfqJ+ob6hPqC+oL6gfqB+oD6fvp7+nf6c/pu+mr6aPpm+mb6Z/po+mr6bPpt+m36bvpw+nL6dfp5+nz6fvp/+oD6gPqB+oT6iPqO+pf6ofqt+rr6yPrX+uf69/sH+xj7KPs3+0X7UftY+137Xvte+2H7aPt0+4P7k/ug+6X7pfuh+577o/ux+8j74vv5/Aj8C/wC+/L73/vM+7z7svut+677tfvD+9b77vwI/CP8PfxU/Gn8e/yK/Jj8pvy1/Mj83fz0/Qr9IP00/UX9Vv1m/Xb9hf2T/Z/9q/24/cj92/3y/gv+Jf5A/lz+eP6U/q3+wv7T/uH+7f76/wj/F/8o/zv/UP9o/4T/pP/I/+sADQArAEYAXwB5AJUAswDRAPABDQEoAUEBWAFtAYIBlQGpAb0BzwHeAeoB8AHxAe0B4wHVAcIBrAGVAYABcAFoAWoBdgGNAbEB5QIsAocC9QNwA+4EZwTPBSAFWAV5BYkFkgWcBa0FygXwBhoGPQZPBkgGJQXqBaIFXAUiBP8E8gT5BQkFGgUnBTAFOAVEBVkFdgWZBbwF3AX2Bg0GJAY+Bl4GgQakBsMG3QbxBwAHCwcUBxoHHQcbBxcHEAcHBvsG7gbgBtQGzgbQBtsG7Ab8BwYHBAb0BtoGvAaiBo8GhgaEBocGjAaQBpMGlgaaBp8GpgavBrcGwAbHBssGzAbKBsQGvQa3BrQGswa2BroGvQa9BrgGsAalBpkGjgaGBoIGgwaJBpIGmwaiBqUGpAahBp8GnwakBqsGsga5Br4GxQbPBuAG9gcKBxcHGAcOBv8G8QbtBvQHBwceBzMHRAdRB18HcweSB7kH5AgLCCgINgg0CCcIEgf/B/IH8Qf7CA8IKAg/CE8IUwhKCDQIFQfzB9IHtAeaB4QHcAdeB00HQgc8BzsHNAcYBtQGVQWVBJsDggJxAZQBEQD9AVkCEgMFBAsFAAXLBmEGxQcGBzMHWweEB6sHywfdB98H1QfIB8IHxwfWB+kH+Af+B/oH8gfpB+UH5QfnB+oH7AfvB/YIAggSCCQINQhDCE4IWQhlCHIIgAiMCJYInQiiCKcIrAiwCLUIuAi8CMIIygjVCOEI7gj5CQQJDQkXCSIJLQk7CUoJWwltCYAJkgmiCbAJvQnLCdoJ5wnwCfEJ7AnjCd0J3gnoCfYKAwoHCgAJ8AndCcwJwAm6CbgJtwm4CboJvwnFCckJxwm+CYsJfglyCWgJYQlcCVcJUwlRCVQJWwlmCXIJfAmBCYEJewlwCWIJUAk5CSAJBAjnCMoIsAiYCIQIdQhrCGYIZghpCG4IdAh7CIMIjQiXCJ4IogiiCKAInwihCKcIsAi6CMMIzQjZCOgI/gkYCTYJUglrCYIJlgmrCcMJ3wn9Ch0KPQpbCnUKigqbCqoKugrPCusLCwstC0sLYQttC3QLeAuAC40LnguyC8QL0wvfC+sL+AwGDBUMIwwuDDQMNww0DCwMHwwRDAYMAwwNDCQMQAxaDGgMZwxaDEsMQwxJDF8MfgydDLUMxQzQDNwM7g0HDSQNQQ1ZDW0Nfw2SDagNwg3bDfEOAw4RDhwOKA43DkgOWg5sDn4OkA6iDrUOyQ7dDvEPAw8VDycPOg9ND2EPdQ+ID50Psw/JD98P8xAEEBAQGBAdECEQJxAtEDQQOBA6EDgQMxAtECcQIhAfEB4QHhAfECAQIxAmECkQLBAtEC4QLRAtEC4QLhAtECgQIBATEAMP8w/jD9MPxA+0D6MPkg+BD3QPaA9eD1MPRw85DysPHw8WDxEPDg8MDwcPAA71DukO3Q7SDsgOvw63DrAOqA6hDpsOlg6RDowOhQ58DnIOZQ5YDksOPQ4uDh4ODQ38De8N5Q3hDd8N3g3aDdENxg26DbANqQ2kDaENnw2eDaINrQ3ADdgN8Q4GDhIOEg4JDfgN4g3IDa4Nlg2BDXINaA1hDVoNUA1BDTANIA0WDRINEw0WDRYNEw0PDQwNDA0ODQ8NCgz+DOwM2AzFDLYMqQyaDIcMbQxODDAMFgwDC/gL7wvlC9cLxQutC5MLdQtUCy8LBArUCp8KZgotCfQJvQmICVMJHQjlCKkIbAgwB/oHzwexB6EHmQeVB4wHewdhB0EHHwcDBu8G4gbaBtEGwwauBpMGdQZXBjsGIgYLBfQF2wXABaUFigVxBVkFQgUqBRAE8gTTBLIEkARvBFAEMQQUA/cD2gO7A5kDdQNRAy4DDQLtAs4CrgKOAm0CTQIuAhIB+AHeAcQBpgGFAWIBPAEWAPAAygCkAIAAXQA8AB0AAP/k/8j/rP+Q/3X/Wv8+/yD+/f7W/qz+hP5f/j/+JP4L/fH91f22/Zb9d/1Y/Tr9G/z7/Nn8tvyU/Hb8XfxH/DP8HfwE++j7yPun+4T7YvtB+yD6/vrd+rv6mvp6+lz6Pvoh+gT55vnI+ar5jvlz+Vr5Qfkn+Qv48PjX+MH4rvif+I/4ffho+FD4N/ge+An39vfl99X3xfe096P3kPd992n3VfdB9y/3H/cP9wD28Pbf9s72vvaw9qT2mPaK9nv2avZZ9kr2PfYy9ij2HvYU9gr2AfX79ff18/Xv9er15vXj9eL14/Xk9eT14fXd9dv12/Xe9eL15vXn9ej16fXt9fT1+/YA9gH1/vX69ff1+PX99gL2BPYD9f71+fX49fr1/vYB9gH1/fX69fv2A/YQ9h/2LPY09jf2NfYz9jT2O/ZI9lz2dfaR9q72x/bb9un28/b69wL3C/cT9xj3GvcZ9xv3Ivcw90P3VPdd91z3VfdO9033VPdf92b3YfdN9y/3Dfby9uP24Pbk9uz29Pb79wL3B/cJ9wT29/bj9s32vPaz9rH2sfau9qj2n/aY9pf2mfab9pb2h/Zx9l/2V/Zd9mv2dPZt9lH2JvX49db1xvXG9cn1xfWy9ZP1cfVV9UX1PPU09SP1CfTo9Mb0qfSS9Hv0YvRB9Bvz8/PO867zlPOC83nze/OL86jzy/Po8/fz9PPf88HzovOG827zVfM48xfy9vLZ8sPysvKf8ofyZ/JD8iLyCPH48ezx4PHQ8b3xqvGe8ZrxnPGf8Z3xlPGJ8YDxfvGF8ZDxnPGl8anxqvGs8a/xs/G18bLxqvGf8ZTxjPGI8YjxifGI8Ybxg/F/8Xvxd/Fz8W3xZvFf8VrxV/FY8VzxY/Fq8XLxd/F78X3xfvGA8YPxh/GM8ZLxlvGb8aPxrfG88c3x4PHx8f/yCvIU8h/yK/I58kbyUvJa8mHyZ/Jv8njygfKL8pTynfKn8rXyx/Lc8vLzCPMa8ynzNvNB80vzVfNf82fzbPNw83Tze/OG85fzrPPF897z9vQK9Bv0KfQ19ED0SvRT9F30Z/Rx9H30ivSa9Kz0v/TT9Oj0/vUU9Sn1PPVO9V31a/V29YH1ivWT9Zz1o/Wq9bD1tvW99cb10vXg9e/1//YN9hr2JfYv9jv2RvZT9mD2bPZ39oH2i/aU9pz2ovam9qj2qfas9rH2uPbC9sz21vbf9uj28fb69wT3DPcR9xH3DPcE9v72/PcB9w73IPc190n3W/dq93j3hfeS96D3rve798f30/ff9+z3+vgJ+Bb4Ifgp+C/4M/g3+Dr4PfhA+EH4QPg/+D34PPg9+D74P/hB+ET4R/hL+E/4UfhS+FL4UfhR+FT4Wfhf+Gb4bfhz+Hv4g/iO+Jr4pfiw+Lj4vvjE+Mj4yvjL+Mn4x/jF+Mb4zvjc+O/5Bfkb+S75PvlL+VX5Xflk+Wz5dfmC+ZP5qvnH+ef6B/ok+jv6S/pV+lr6X/pj+mj6bfpz+nf6evp7+nz6fPp8+nz6e/p6+nn6ePp1+nT6cvpx+nD6b/pt+mv6Z/pj+l/6W/pY+lb6VfpU+lX6V/pa+l36YPpi+mL6Yfpe+lv6WPpW+lX6VPpU+lX6VvpY+lv6X/ph+mT6ZPpk+mP6Yvpj+mX6avpw+nn6g/qO+pz6qvq6+sv63Prt+v77D/sf+y77OvtC+0b7RvtG+0f7S/tV+2P7cft9+4X7ifuL+4/7mfuo+7z70Pvg++r77Pvn+9770vvF+7j7rfum+6X7q/u6+8/76fwF/B/8OPxN/F/8bfx4/ID8h/yR/J/8sfzJ/OH8+P0L/Rr9J/00/UL9Uv1i/XH9f/2O/aD9tv3Q/e/+Dv4u/kz+aP6D/pz+s/7G/tb+5P7w/v3/C/8c/y7/Q/9Y/27/iP+l/8X/5wAKACwASgBkAH0AlgCwAM0A7AEKASUBPQFRAWMBdQGJAaABtwHOAeEB8AH6Af8CAQH/AfkB8AHlAdgBzQHDAboBswGuAa4BuQHWAgwCYgLUA1wD7QR4BO8FSgWFBaQFrwWzBbgFxgXcBfgGDwYbBhMF9wXLBZcFZgVABSsFJwUvBT8FUQVjBXQFhwWeBboF2gX7BhgGMgZIBl0GcwaNBqkGxQbdBvIHAQcOBxsHKQc5B0kHVgdfB2IHWwdMBzQHFgb4Bt8G1AbZBu4HDAcpBz0HQAcxBxQG8QbSBrwGsQavBrMGtwa7BrwGvAa+BsMGzgbeBu8HAAcKBw0HCAb+BvMG6gbmBucG6QboBuIG1gbHBrkGrgapBqkGrAavBrEGtAa3BrwGwQbFBsYGwwa9BrgGuAa+BskG1gbiBusG8gb7BwcHFwcoBzcHPwdABz0HOwdAB04HYQd0B4EHhQeCB30HfAeEB5UHqwfCB9UH4gfqB/EH+wgICBcIJwg1CD4IRQhLCFAIVghcCGEIYwhiCGAIXQhZCFIIRgg0CCAIEQgNCBkIMQhDCDcH8QdcBncFTwQIAtEB2AFBAR4BbgIcAwYEBwT7BckGZAbPBxQHQgdlB4UHoQe4B8YHzQfRB9YH4AfvB/wIBQgEB/oH7gfjB90H3QfhB+QH5gfnB+sH9ggGCBoILQg8CEUISwhPCFUIXghpCHUIfgiECIcIhwiHCIgIiwiRCJoIpQiyCMEIzwjcCOkI9Aj9CQcJEQkfCTAJRAlaCW8JfwmNCZkJqAm6CdAJ5gn1CfkJ8wnnCdsJ1gnbCeYJ8Qn1Ce4J3QnICbMJpAmaCZYJkwmTCZUJmAmcCZ8JnQmXCWUJWQlNCUAJNAkoCR0JFwkWCR0JKwk7CUoJUglSCUkJOQkmCRAI+QjgCMUIqwiTCH8IbwhkCF0IWAhVCFQIVAhWCFgIWwhdCF8IYQhiCGMIZAhlCGgIbAhxCHcIfgiFCI0IlgijCLYIzgjoCQMJHQk1CUsJYwl9CZsJugnaCfgKFAosCkEKVQpoCnwKkwquCs0K7QsICx4LKwszCzkLQwtSC2YLeguMC5cLngujC6wLugvOC+IL8gv7C/wL9wvuC+UL3gvZC9kL4AvuDAIMFwwpDDIMMAwnDB8MHgwqDEAMXQx5DI8MnwysDLwM0gzuDQwNKQ1BDVQNZg15DY8Npg27DcwN2A3hDeoN9Q4EDhYOKQ48Dk4OYQ51DooOnw6zDsYO1w7nDvYPBw8YDyoPPA9OD2EPdQ+JD50Prg+9D8gP0A/WD9sP4A/lD+oP7g/wD/EP8A/uD+oP5Q/hD94P3g/hD+cP7Q/zD/cP9w/1D/IP8A/wD/EP8Q/wD+oP4Q/UD8UPtQ+lD5YPiA96D2sPXQ9QD0QPOQ8uDyMPFg8HDvkO6w7hDtsO1g7SDs4Oxg67Dq4Oog6YDpEOjQ6KDocOgg58DnYOcQ5tDmkOZA5dDlIORQ43DioOIA4WDgwOAA3yDeYN2w3VDdANyw3EDbgNqg2eDZUNkg2TDZUNmA2bDaANqw2/DdgN9A4NDh4OJw4oDiQOHA4RDgQN9Q3nDdsN0Q3JDb4NrQ2TDXINUA0yDRwNEA0MDQwNDw0TDRoNIw0rDS4NKQ0ZDQEM5gzNDLkMqQyaDIUMawxNDDAMGQwJC/0L7wvcC8ELoQuAC2ULUAtACy0LEgrsCrsKgApCCgQJxwmNCVMJGgjhCKkIcgg+CA4H5AfBB6cHlgeKB4EHdAdgB0MHIAb7BtoGwQaxBqUGnAaOBnwGZAZJBi0GEgX4Bd8FxgWuBZcFgQVuBVoFRwUwBRcE+QTYBLUEkARtBEsEKwQNA/AD0wO1A5QDcQNMAygDBALiAsICogKDAmUCRgIoAgsB7gHRAbMBlAF0AVMBMQENAOgAwQCZAHIASwAoAAf/6f/M/7H/l/9//2f/UP83/xr+9/7P/qX+ff5Z/jv+IP4G/er9y/2q/Yj9af1N/TP9GPz8/Nv8ufyW/Hf8XfxG/DH8G/wB++P7wvue+3r7WPs3+xj6+PrY+rj6lvp1+lT6NfoX+fr53fnB+af5jfl1+V35Q/kp+Q348fjW+L/4q/iZ+Ij4dfhg+En4Mfga+AT38fff9873vvet95v3iPd092D3S/c49yb3FfcF9vX25PbU9sT2tvao9pv2jvZ/9m72XfZN9kD2NPYp9h32EPYC9fb17fXo9eX14vXe9dj10fXL9cj1yPXJ9cn1xvXD9cH1wfXD9cb1x/XH9cb1xfXI9c711vXc9d/13vXc9dr13PXg9eP15PXh9d312vXb9d714fXi9d/12fXU9dX13PXo9ff2A/YL9g32C/YJ9gn2DfYX9ij2QPZc9nv2l/au9r72yfbR9tn24vbq9u727vbs9uv28fb/9xP3Jfcw9zH3Kvcj9yH3Kfc390H3Qvcz9xj2+fbd9sr2wvbD9sj2z/bZ9uP27fby9u323fbG9q32m/aR9o72jfaJ9oH2ePZz9nX2fPaB9nz2bPZV9kP2PfZG9lH2T/Yw9fL1ovVX9Sr1J/VJ9X31qfW79a71iPVb9TL1FvUD9PP03vTE9KX0hvRn9Ej0JvQC89zzufOb84Hza/NY80fzO/M48z/zTfNb82DzWfNG8yvzEPL58uTy0PK48pzyf/Jk8k/yP/Iw8h/yCPHt8dLxu/Go8ZrxjfF/8XHxZPFd8VrxWfFX8VHxRvE78TPxM/E68UbxUPFX8VnxWfFb8V/xZPFn8WXxXfFS8UfxP/E98T7xQPFA8T3xN/Ew8SnxJPEg8RzxGfEX8RbxGPEc8SLxKfEw8TXxOfE88T7xQPFD8UbxS/FP8VPxV/Fb8WDxafF18YTxlPGi8bDxvPHI8dXx5PH08gTyEvIf8inyMfI38j3yQvJH8kzyVPJg8nDyhPKb8rLyx/LX8uXy8PL88wjzFvMl8zLzPfNG807zV/Ni83HzhfOb87PzyfPd8+7z/PQH9BL0HfQn9DH0O/RF9FD0XfRr9Hv0jfSg9LT0yfTd9PL1B/Ub9S31PvVM9Vj1Y/Vs9XX1fvWG9Y71lvWd9aX1rfW29b/1yPXR9dr15PXx9f/2D/Yg9jD2PfZJ9lP2XfZn9nL2fPaF9ov2jvaR9pP2l/ad9qX2rfa19r72x/bR9tv24/bn9ub24PbY9tH2zvbR9tz27fcB9xX3J/c490n3Wfdp93r3iveZ96b3sve998j31Pff9+n38vf49/34AvgH+Az4EPgS+BP4EvgQ+A/4D/gQ+BH4E/gV+Bf4Gvgd+CD4I/gm+Cf4Kfgs+DD4N/g9+EP4SfhP+Fb4X/hp+HX4gPiK+JP4mfig+Kb4rPiw+LT4tfi2+Lj4vPjD+M342Pjj+O349fj8+QP5CfkP+RP5GPkd+SX5MvlD+Vn5cfmJ+Z/5svnD+dP54vny+gH6D/oa+iT6K/oy+jr6QfpJ+lD6VPpT+k/6R/o/+jf6M/oy+jX6Ofo9+j/6QPo/+j36Ofo0+i/6Kfoj+h76Hvoh+ij6Mfo7+kL6R/pI+kf6RPpB+j/6Pfo8+jz6PvpA+kP6R/pK+kv6SvpI+kX6Q/pD+kb6SvpQ+lj6YPpr+nj6iPqb+q76wvrV+ub69/sG+xX7Ifsr+zH7NPs2+zj7PPtD+077Wftk+277dft8+4T7kPue+637vPvG+837z/vN+8r7xPu9+7T7qvuj+6H7pvuz+8f74Pv6/BT8LPxA/FL8Xvxn/Gz8cfx4/IX8mfyy/Mz84/z1/QL9C/0V/SH9MP0//U79XP1q/Xz9k/2w/dP9+f4c/jz+V/5v/oX+m/6w/sP+1f7k/vP/Af8S/yP/Nv9K/1//df+P/6z/zv/wABMAMQBMAGMAeQCRAKwAyQDoAQQBHgE0AUcBWwFyAYsBpQG/AdYB6QH5AgYCEAIZAiACIwIkAiMCIQIfAhwCFgINAgAB9QHzAgUCMgJ+AucDZQPpBGYE0gUlBWEFigWnBb4F0gXiBewF6wXfBcgFqgWNBXUFZQVfBWAFZQVsBXMFewWHBZcFrQXJBecGBQYgBjgGTQZiBnkGkwawBswG5Ab3BwQHCwcSBxoHJwc5B1EHageCB5IHlgeMB3EHSwciBv4G6QbnBvYHEQcrBz0HQQc1Bx8HBwbyBucG4wblBugG6QbkBtoGzwbHBsYG0AbkBv4HGAcsBzUHMwcpBx8HGQcbByMHKgcrByEHDgb2BuEG1QbUBt0G6QbzBvgG9wb0Bu8G6wbnBuAG1wbNBsUGwwbJBtYG5gb2BwEHCAcNBxQHHwcsBzsHRwdOB1IHVgdcB2gHeQeKB5gHoAehB58HnQeeB6QHrQe4B8MHzgfcB+0IAwgbCDMIRghTCFkIXAhfCGYIcQh/CIwIlwieCKMIpgipCKcInQiJCG0IUQg+CD0ITwhrCHsIZggUB3gGlAV6BEoDKwJCAa4BgAG7AlEDJwQcBQsF2QZ2BuEHIgdKB2YHfweYB7EHxgfXB+UH8Af6CAAIAAf4B+oH2wfPB8oHywfRB9gH3QfiB+kH9QgHCBwIMQhACEgISghICEcISwhUCF8IaQhvCHEIcQhwCHMIeQiCCI4ImwinCLMIwAjOCNwI6Qj0CP4JCAkUCSQJOQlPCWQJdAmACYkJlAmlCbsJ0gnkCe0J6gngCdUJ0AnUCd0J6AntCeoJ3gnNCb0JrwmlCZwJlAmMCYUJgAl8CXkJdQluCTkJLQkfCRAJAAjyCOgI4wjmCPEI/wkOCRcJFwkMCPkI4QjICLEInAiICHYIZghZCFAISwhICEYIQwg/CDkIMwguCCoIKAgmCCQIJAgkCCYIKggwCDgIPwhFCEkITAhPCFUIYAhwCIUIngi3CM8I5Qj7CRMJLwlPCXMJlgm2CdIJ6Qn9ChAKJQo9ClgKdgqVCrMKzArgCu0K9gr9CwcLFwsrC0ILVQtgC2ULZgtpC3MLhgudC7MLwgvGC8ELtwuuC6kLqguwC7kLxAvQC9wL6AvyC/cL+Qv4C/oMAgwSDCkMQgxZDG0MfQyNDKAMtwzSDO4NCg0jDTkNTw1lDXsNjQ2bDaQNqA2sDbMNvw3PDeMN+A4MDh8OMw5IDl4OdA6JDpsOqw67DsoO2w7tDwAPFA8oDzoPTA9cD2sPdw+CD4wPlA+cD6IPpw+qD6wPrg+wD7QPtw+4D7YPsQ+rD6YPpA+mD60PtQ+8D8APwQ+/D70PvA+7D7sPuQ+1D60Pow+XD4oPfA9vD2EPUw9EDzYPJw8ZDwwO/w7zDugO3Q7RDsUOug6wDqcOnw6ZDpIOiw6BDncObg5pDmcOaQ5rDmwOaQ5iDlgOTw5HDkIOPQ43Di4OIw4YDg8OCA4EDf8N9w3sDeAN0w3IDb4NtA2pDZ0NkQ2JDYYNiA2NDZENkw2TDZUNng2vDcoN6A4FDh0OLQ44Dj4OQQ5BDjwONQ4rDiEOGQ4TDgoN+Q3dDbcNjA1kDUUNMw0tDTANOQ1DDUwNVA1XDVMNRQ0tDQ0M6wzMDLIMngyLDHYMXgxEDC4MHgwVDA4MAAvnC8ELlAtpC0gLNAsrCyYLGgsDCt0KrQp2CjsJ/wnACX0JNwjxCK8IdAhBCBUH7wfNB68HmAeGB3oHbQdcB0MHIAb3Bs4GqwaQBn8GdQZtBmIGUwY+BiUGCQXtBdEFtgWdBYYFcgVfBU4FOwUnBQ4E8QTSBK8EiwRmBEIEIAQAA+IDxQOoA4oDaQNGAyEC/ALYArYClQJ3AloCPgIiAgYB6QHJAagBhgFlAUQBJAEDAOAAugCRAGcAPQAX//T/1v+6/6H/if9y/1z/Rf8s/xD+7v7I/qH+ev5X/jf+G/3+/d/9vv2b/Xr9XP1D/Sz9FPz6/Nv8ufyY/Hn8XvxH/DH8Gvv++977uvuU+2/7TPss+w768vrU+rb6lvp1+lT6NPoU+fX52Pm9+aP5ivlz+Vv5Qfkm+Qv47/jV+L74qfiV+IL4bfhY+EL4K/gV9//36/fY98b3tPej95L3f/ds91j3RPcx9x/3D/b+9u723fbM9rz2rvag9pH2gvZx9mD2UPZC9jf2LvYj9hb2BvX19eb12/XV9dL1z/XL9cT1u/W09a/1rfWt9az1qvWo9ab1pvWn9an1qfWn9aT1ovWk9aj1r/W29br1vfW99b71v/XB9cH1wPW99bn1uPW59b31wPXB9b31t/Wy9bL1ufXF9dH13PXj9eX15PXi9eL15fXt9fv2EPYr9kn2ZfZ99o72mfai9qv2tfa+9sP2w/a/9r32wvbP9uL29fcC9wT2/fb29vP2+/cI9xb3G/cT9v/25fbM9rn2rvaq9qz2sva99sn21PbY9tL2wPam9o32e/Zy9nD2b/Zr9mH2WPZV9ln2YfZm9l72TPY09iP2IPYp9i72GfXd9Xv1CfSp9Hr0jfTX9Tr1kfW+9bf1iPVH9Qz05fTR9Mf0vPSp9Iz0afRC9Brz8/PM86jzh/Nt81fzRPMu8xby/vLp8tzy2PLZ8try1PLF8rDymPKB8mzyWfJD8ivyEfH48eTx1vHL8cHxtPGi8YzxdvFh8U/xQPE18SvxJPEf8RzxGPES8QrxAPD38PPw9fD78QPxCfEL8QrxCfEJ8Q3xEvEV8RTxD/EH8QDw+vD48Pjw9/D08O7w5/Df8Nnw1vDU8NPw0/DT8NXw2fDf8Ofw7vD18Prw/vEB8QPxBvEJ8Q3xEfEV8RjxG/Ee8SPxKPEw8TrxRfFS8WDxbvF88YzxnfGt8b7xzvHc8ejx8/H68gDyBPII8gzyFPIf8i/yQ/JZ8m7ygfKQ8p3yqPKz8sDyz/Lg8vHzAfMQ8x7zK/M480fzWPNr837zkvOk87Tzw/PQ89zz6fP19AL0DvQa9Cf0NfRE9FT0ZfR39Ij0mPSo9Lj0yvTc9O/1AfUT9SL1MPU79Ub1UfVc9Wj1c/V+9Yf1j/WU9Zj1nPWh9af1sPW99cv13PXs9fv2CPYS9hz2JvYy9kD2TvZb9mb2bvZy9nX2ePZ79n/2hfaK9o/2lfab9qH2p/ar9q32rPap9qb2pPal9qr2tPbA9s723fbt9v73Efcl9zr3Tvdg93D3fveK95b3ofes97b3v/fG98330vfX99z33/fh9+H34Pff99733/fh9+P35vfp9+z37vfx9/X3+ff9+AH4B/gN+BT4G/gi+Cj4Lvgy+Dj4PvhE+Ez4U/hZ+GD4aPhx+H34iviX+KL4qviv+LP4tvi5+L74wvjH+M340vjZ+N/45vjs+O/48fjw+O747fjt+PD49/kA+Qz5Gvkr+T/5VPlq+X/5kvmi+a/5uvnH+db55/n5+gr6F/od+hz6FfoL+gH5+vn2+ff5+vn9+gD6A/oF+gf6CPoH+gT5/vn1+ez55vnl+er58/n/+gv6FPob+h76H/of+h76Hfoc+hz6Hvoh+ib6K/ov+jH6MPot+in6J/on+ir6Lvo0+jv6Q/pO+lz6bvqC+pj6rvrC+tL64Prs+vj7BPsP+xr7I/sq+zD7Nvs9+0T7TPtU+1v7Y/tq+3P7f/uM+5n7pfuu+7T7t/u4+7j7tfux+6v7pPuf+537ovuu+8H71/vw/An8IPw1/Ef8VPxc/GD8ZPxr/Hj8jPyl/MD81/zp/Pb8//0I/RX9I/0z/UH9Tv1Z/Wj9fP2Y/br93v4B/iD+Ov5Q/mb+ff6V/q7+xf7a/uv++v8J/xr/Lf9B/1j/cP+J/6X/wv/g//0AGAAxAEYAXABzAIwApwDDAN8A+QESASoBQgFbAXUBjwGoAb8B1AHpAf0CEgInAjgCRQJOAlMCVwJcAmMCaQJtAmwCZQJdAlkCYgJ9Aq4C9ANIA6QEAgRcBLEFAAVKBYsFvgXfBecF2AW3BY4FaQVSBU0FWQVuBYQFlQWdBZ8FoAWnBbQFygXkBf8GFgYqBjsGTQZiBn0Gmwa7BtkG8gcGBxQHHgclBy0HOAdHB1wHdQeQB6gHtwe4B6oHjgdrB0kHLgcgBxwHIAcjByMHHgcVBwwHCAcMBxQHHwcoByoHIgcRBvkG3wbJBr0GvwbOBugHBQcdBysHLQcpByQHJgcxB0MHVQdeB1oHSAcwBxkHCwcIBxAHGgcjByYHIwcbBxIHCAb/BvUG6AbcBtIGzgbTBt8G7wb/BwwHFQcbByMHLwc+B04HXAdmB2kHaAdnB2kHcQd/B5AHoweyB74HxgfKB80H0QfWB94H6Qf5CAsIIQg3CEwIXQhrCHYIgQiNCJsIqgi4CMIIxwjICMYIxgjGCMYIwQizCJ0IgQhnCFYIUwhZCGAIVwguB9YHSAaGBZoEmAObAsICKgHsAhIClQNdBEcFLgXzBoYG5wcgB0QHXwd7B5kHtQfNB94H6AftB+4H6wfjB9gHzAfCB70HvwfFB84H2AfiB+0H+wgOCCMINwhGCE0ITQhJCEYIRghKCFIIWwhgCGQIZQhoCG4IeAiFCJEImwijCKoIswi/CM8I3wjuCPoJBAkPCR4JMglKCWEJdAmACYcJjAmUCaAJsAm/CcgJygnHCcMJwQnGCc4J1wnbCdgJzgnBCbIJpQmZCY0Jggl1CWkJXwlXCVAJSglCCQsI/gjvCN8IzwjCCLgItgi6CMUI0gjdCOEI2wjLCLQImwiCCGwIWghMCEAINggvCCgIIwgdCBYIDAgAB/QH6QfgB9sH2QfaB94H4gfoB/AH+ggDCAsIEQgVCBcIGAgcCCQIMwhHCF4IdwiOCKIItQjJCOEJAAkkCUwJcgmUCbAJxQnXCekJ/goXCjMKUgpvCogKnQqrCrYKwArMCtsK7gsDCxYLJAssCzALNAs9C00LZAt7C40LlQuTC4sLgQt9C38LiAuTC58LpwuuC7ILtwu7C8ALxgvNC9cL5Qv4DA4MJgw8DE8MYAxxDIQMmgyzDM0M5w0BDRsNNA1LDV8NbQ11DXcNdw16DYENjw2hDbYNyw3fDfIOBg4bDjEOSA5cDm8OgA6QDqIOtQ7KDuAO9w8MDx8PLg86D0MPSg9RD1gPYA9oD3APdA91D3UPdA91D3gPfQ+BD4IPfw95D3QPcQ9zD3gPfw+FD4gPiQ+ID4gPiA+HD4UPgA95D3APZw9eD1UPSw9ADzQPJg8XDwgO+Q7rDt4O0Q7GDrwOsg6pDp4OkQ6DDnQOZw5dDlYOUg5PDksOSA5HDkgOTA5QDlIOTg5FDjcOKQ4eDhYOEQ4ODgkOAw39DfgN9A3xDe4N6A3eDdANwg2zDacNnA2SDYkNgw2BDYMNiA2NDY8NjQ2JDYcNjQ2dDbUN0Q3sDgMOEg4cDiIOJQ4kDh4OFA4JDgAN/A38DfwN9g3lDccNog19DWANUQ1QDVkNZQ1vDXQNcw1rDVoNQQ0gDPkM0wywDJQMfgxrDFgMQwwvDB4MFAwQDAwMAQvoC8ILkwtlC0ILLQslCyELGgsJCu0KxwqcCm0KOgn/CboJbAkZCMkIgAhDCBEH5ge/B5wHfgdnB1cHSwdBBzAHFwb1Bs0GpgaFBm4GXwZXBlEGSAY5BiUGCwXuBc8FsQWVBXwFZQVRBT0FKQUSBPkE3QTABKAEfwRcBDkEFwP2A9gDuwOfA4MDZQNFAyIC/gLYArMCkAJvAlACMwIYAfwB3wHAAZ4BewFYATcBFwD3ANYAsQCIAFwAMAAI/+T/x/+t/5b/f/9o/0//Nf8a/vz+2/64/pP+b/5M/iv+DP3u/c79rv2O/XD9VP08/SX9DPzx/NL8sfyR/HP8WvxD/Cz8FPv3+9X7sPuL+2b7Rfsm+wn67frR+rP6lfp1+lX6NPoU+fX51/m7+aL5iflx+Vf5Pfkh+Qb46/jT+L34qPiU+H74aPhR+Dn4I/gN9/j34/fP97z3qfeX94b3dPdh9073O/cp9xf3B/b39ub21fbE9rT2pfaW9of2d/Zl9lP2QvY09in2IPYV9gn1+fXn9df1y/XD9b71uvW19a71pvWf9Zr1l/WW9ZP1j/WL9Yf1hfWF9YX1hPWC9X/1ffV+9YH1hvWL9Y/1kvWU9ZX1l/WZ9Zn1l/WT9ZD1kPWS9Zb1mPWZ9Zb1kvWP9ZH1l/Wi9a31tfW69bz1vPW69br1vfXD9dD14/X89hj2MvZI9lj2Y/Zs9nb2gfaM9pP2lPaS9pD2lPag9rP2xvbS9tX2z/bG9sL2yPbV9uX27/bw9uX20va99qn2mvaQ9o32kfab9qj2tPa59rH2nvaF9mz2W/ZT9lH2T/ZJ9j72NfYy9jX2PPY+9jT2H/YH9fn1+fYA9fz11vWB9Qb0gPQa8/b0IfSL9Q71efWt9aD1Y/UU9NP0rfSj9Kb0pvSY9Hr0UvQl8/rz0POn83/zW/M88yPzDvL68uLyx/Kq8pLygfJ48nPybPJf8kvyMvIZ8gLx7fHb8cjxs/Gf8Y/xgvF68XPxavFc8UnxMvEc8Qjw+PDu8Obw4fDd8Njw0vDK8MPwvPC48LbwuPC78L7wv/C/8L7wvfC+8MHww/DF8MTwwfC88Lfws/Cv8Kzwp/Ch8JrwlfCS8JHwkvCT8JTwlPCV8JfwnPCi8KrwsvC58MDwxfDJ8MzwzvDR8NPw1fDY8Nvw3/Dj8Ofw6/Dw8Pfw//EL8RjxJ/E38UfxWPFo8XfxhvGV8aPxsPG88cbxz/HW8d3x5fHu8fryB/IX8ifyN/JH8lXyY/Jw8n7yjfKd8q/ywfLT8uXy9vMG8xbzJfM180bzV/Np83rzivOZ86jztfPD89Dz3vPr8/r0CvQb9C30QPRR9GH0b/R79Ib0kvSf9K/0wfTU9Ob09vUF9RP1IfUv9T31TPVZ9WX1bvV09Xj1fPWA9Yb1jvWZ9ab1tPXB9cz11vXf9ej18vX99gr2GPYm9jL2O/ZC9kj2TfZS9lj2XfZh9mT2ZfZm9mf2afZt9nH2dfZ49nn2efZ59nn2e/Z+9oT2jPaX9qT2tPbH9t329fcM9yL3NfdH91b3ZPdx9333iPeR95n3n/ek96f3qver96v3q/er96v3rPeu97L3t/e798D3xPfJ98330/fY99/35/fu9/b3/fgD+An4D/gV+Bv4Ifgn+Cz4L/gz+Df4PfhG+FH4Xvhs+Hn4hPiM+JT4mvih+Kn4sfi6+MP4y/jT+Nv44fjn+Or46vjo+OL42vjR+Mf4vvi5+Lj4vPjG+NT45vj5+Qz5HPkq+TX5QPlM+Vz5b/mG+Z35svnC+cv5zfnK+cT5vfm2+bD5q/ml+aH5n/mh+ab5r/m4+b/5wvnA+bv5tvm0+bb5vPnG+dD52/nj+en57Pnu+e/57/nv+fD58/n4+gD6B/oN+hH6EfoP+gz6C/oM+hD6Ffoc+iT6Lvo6+kn6Xfpz+on6n/qx+sD6yvrU+tz65vry+v77C/sW+yD7Kfsx+zj7P/tF+0v7UPtW+177aPtz+3/7i/uV+537o/um+6j7p/ul+6P7oPug+6P7qvu3+8j73fv0/Az8I/w3/En8Vfxb/F78YPxk/G78gPyX/LD8yPzb/Ov8+P0F/RX9Jv03/Ub9Uv1b/Wb9dP2J/aP9wP3d/fj+Ef4p/kP+X/5//p7+u/7U/uf+9v8E/xP/Jf87/1T/bv+J/6P/u//S/+j//QASACgAPwBXAHAAiQCiALwA1QDvAQoBJQFAAVkBcAGGAZoBsAHIAeQCAwIhAj0CUgJgAmkCbwJ4AoUClwKsAr8CzALQAs4CyALEAsgC1wL0Ax4DVQOZA+kERASmBQYFWgWWBbMFrwWTBWoFRQUwBTIFRwVnBYgFowW0Bb0FxQXQBeIF+AYPBiQGNQZBBk4GXgZ0Bo8GrgbOBuwHBwcfBzUHSAdZB2YHcQd6B4MHjwedB64HvAfGB8cHwAeyB58Hiwd2B2AHSQcxBxoHCAb/BwIHEQcoB0IHWAdlB2UHWAdBByIHAQbkBtAGyAbOBt4G8gcEBw4HEQcQBxAHGQcrB0QHXAdrB20HYQdNBzgHKQcjByUHKwcwBzIHLwcpByIHGwcSBwgG/QbxBucG5AboBvIHAQcRBx8HKwc1B0EHTwdhB3QHhAeOB5EHjgeHB4IHgweNB54HtQfMB94H6gfwB/IH9Af4CAEIDggeCC4IPghNCFsIaQh5CIkImwiuCMAI0AjcCOQI6AjnCOQI4gjhCOEI4AjcCNQIxwi2CKQIkgiACG0IUwgtB/EHmQcdBnkFrwTKA+EDEgJ/AkICaALpA6wEjAVjBhYGmQbuByQHSAdnB4UHoQe3B8UHzQfQB9EH0gfSB9EHzAfHB8IHwQfEB8sH1QfiB+8H/ggPCCEIMghACEcISQhGCEIIQAhBCEYITAhRCFUIWQheCGYIcQh9CIcIjwiUCJgInwirCL0I0AjjCPEI/AkGCRQJKQlCCV4JdQmECYoJiQmHCYgJjgmYCaIJqQmtCa8JrwmxCbMJtAmwCagJmgmJCXgJaAlbCVAJRgk9CTUJLgkpCSMJHQkVCNcIygi+CLAIowiXCI8IjAiPCJcIoQipCKsIpwibCIkIdAhfCE0IPAgtCCEIFAgIB/wH7wfhB9IHwwe0B6gHngeZB5cHmgefB6cHsQe8B8cH0QfYB94H4QfjB+UH6QfyB/8IEQgoCD8IVghrCHwIjAifCLYI1Qj6CSQJTAlvCYsJoAmxCcIJ1gnuCgkKJQo+ClQKZQp0CoIKkQqjCrYKyQrZCuUK7Qr1Cv0LCwsdCzMLSQtZC2ALYAtaC1QLUwtYC2ILbgt5C4ALgwuEC4QLhwuMC5ILmgukC7ELwgvYC/AMCQwgDDQMRgxXDGkMfQyUDK0MxwzhDPoNEw0oDTgNQw1IDUoNTA1RDVsNag19DZANow21DccN2g3uDgMOGA4sDj8OUQ5kDngOjg6mDr4O1g7sDv4PDA8WDx0PIQ8mDysPMw87D0EPRA9DDz8POw85DzsPQA9GD0oPSw9KD0gPSA9KD04PUg9VD1cPVg9WD1YPVg9UD08PSA8/DzYPLw8qDyQPHg8UDwYO9g7nDtgOzA7ADrUOqw6iDpkOkQ6IDnwObA5YDkMOMQ4lDiEOIg4mDioOLQ4uDi4OMA4xDjEOLA4iDhQOBA33De4N6g3oDegN5g3kDeAN3Q3aDdYNzg3EDbYNqA2bDZANiA2CDX0New18DX8Ngg2FDYUNgg1+DXwNgA2MDZwNrQ27DcMNxg3EDcENug2wDaENjw19DXINcQ16DYgNlA2WDYsNdQ1dDUkNQQ1FDVANXQ1kDWQNWw1JDTENEwzwDMkMowyDDGkMVgxHDDkMKQwZDAoL/gv3C/AL5AvPC68LiQtkC0YLNAssCyYLHAsJCuwKygqmCoIKWwotCfMJrAlbCQgIuAhwCDIH+gfHB5cHbAdIBy4HHwcWBw4HAQbqBswGqgaIBm0GXAZSBk0GSAY+BiwGEgXyBc8FrAWNBXEFWgVEBS4FFgT7BN4EwQSkBIYEaQRLBC0EDgPwA9MDtwOdA4IDZwNJAykDBwLjAr0ClwJyAk0CLAIMAe8B0QGxAY8BawFGASIBAADfAL0AmABwAEQAGf/y/9H/tv+g/4v/dv9d/0L/JP8E/uT+w/6h/n7+W/45/hn9+v3c/b/9o/2H/W39U/07/SH9Bvzo/Mj8qPyI/Gz8U/w7/CL8B/vo+8f7pPuB+2H7Qvsl+wj66vrL+qv6i/pr+kz6LfoO+fD51Pm6+aL5ivlx+Vf5O/kd+QH45/jP+Lr4pfiQ+Hn4YPhH+C/4GfgE9+/32/fG97L3nveL93n3Z/dV90L3L/cc9wv2+vbq9tr2yfa49qj2mfaL9n32bfZc9kn2NvYl9hf2C/YA9fP15vXX9cn1vfW09a71p/Wg9Zj1kfWK9YX1gvV/9Xr1dPVt9Wf1YvVg9V71XfVb9Vn1V/VX9Vn1W/Ve9WD1YvVj9WX1aPVr9Wz1bPVr9Wn1aPVp9Wv1bPVs9Wr1aPVo9Wv1cvV89Yb1jvWU9Zb1lvWU9ZL1kvWW9aH1s/XM9ej2AvYX9iX2L/Y49kP2T/Zb9mP2ZvZk9mL2ZvZx9oP2lvaj9qf2ofaY9pP2lvah9rH2wPbH9sX2ufan9pL2f/Zw9mj2afZz9oL2kfaY9pP2gfZo9lH2QPY39jP2LvYm9hr2EPYL9g72EvYQ9gP17vXY9c31z/XT9cb1kvUt9KX0HPO+863z8PRw9P71avWS9XT1J/TP9I70cvR29IT0i/R89Fr0LvQA89fzsfOJ81/zMvMI8ubyzfK68qjyk/J68l7yRfIz8iXyGPIK8fbx3fHD8avxmPGH8XnxafFZ8UnxO/Ew8SbxG/EN8Pvw5vDR8L/wsfCo8KHwnPCV8I7whvCA8HvwePB28HXwc/Bx8G/wb/Bv8HLwdvB58HzwfPB68HbwcvBu8GrwZvBg8FnwUvBL8EfwRvBI8EzwUPBT8FTwVfBV8FjwXPBj8GvwdPB98IXwjPCS8JXwl/CY8Jfwl/CY8Jrwn/Ck8KnwrvCz8LrwwvDM8Njw5/D28QXxFPEj8TLxQvFR8WHxcvGC8ZHxn/Gs8bbxvvHE8cnxz/HW8eHx7vH/8hHyI/I18kXyVfJl8nbyiPKb8q/ywvLU8uTy9PMC8xLzIvMz80TzVvNm83Xzg/OQ853zq/O688nz2/Pu9AH0FfQo9Dn0SPRT9F30ZvRv9Hv0ivSa9Kz0vvTP9N/07/T+9Q71HvUt9Tv1R/VQ9Vf1XvVk9Wv1dPV+9Yj1kvWb9aT1rPW09bz1xfXO9dj14vXs9fX1/vYF9g32FfYe9if2L/Y19jf2N/Y19jT2M/Y19jr2QfZG9kr2TPZK9kj2RvZF9kb2SPZM9lL2W/Zp9nv2kvar9sX23fbz9wX3Fvcl9zP3QPdM91b3Xvdk92n3bvdx93T3dvd493n3evd894D3hfeK95D3lfea95/3pfes97T3vffF98331Pfb9+P36/f09/34BvgN+BP4F/ga+B74Ifgm+Cz4M/g7+EP4S/hU+F74avh2+IT4k/ih+K74ufjB+Mf4y/jN+ND40vjU+NX40/jO+Mb4vPiy+Kv4p/io+Kz4tPi9+MX4zvjU+Nr44Pjm+O/4+vkK+Rz5MPlE+VX5Yvlq+Wz5a/ll+Vv5T/lD+Tf5L/ku+TP5PvlN+Vz5aPlx+XX5ePl7+X/5hvmP+Zj5oPmo+a75s/m2+bn5uvm8+b75w/nK+dP52/nj+ef56fno+ej56Pnr+fD59/n/+gr6Fvom+jf6S/ph+nb6ivqa+qj6tPq9+sb60PrZ+uP67vr4+wL7C/sV+x77J/sv+zX7O/tA+0b7TPtU+177avt1+4H7ivuR+5b7mvuc+6D7pfur+7T7v/vN+9z77vwC/Bf8LvxD/FT8Yfxn/Gj8aPxp/G78evyM/KL8ufzP/OL89P0G/Rn9LP0+/U79W/1k/W39eP2F/ZX9qf2+/dT97P4H/ib+Sf5t/pH+sf7L/uD+7/78/wr/HP8y/0v/Zv+A/5f/q/+8/8z/3v/yAAkAIgA9AFgAcQCIAKAAuADSAO0BCQEkAT0BUgFmAXkBjwGpAcgB6wIOAi8CSwJfAm4CeQKFApYCrQLKAuoDCAMgAy8DNAMyAy0DKQMoAy4DPgNaA4YDwwQRBGkEwgUQBUgFZAVlBVQFPQUuBSwFOwVWBXYFlQWwBccF3gX2BhAGKQZABlMGYAZrBngGigahBrwG2Qb1Bw8HKQdCB10HeAeRB6UHsQe1B7MHrwerB6sHrwe3B8AHyAfOB80Hxge2B5wHfAdYBzcHIAcXBx4HMgdNB2gHfQeHB4YHegdoB1AHOAchBxAHBQcCBwYHDAcSBxQHFAcUBxgHJAc2B0wHYAdsB2wHYwdTB0QHOQc1BzYHOgc+B0EHQAc9BzkHNAcsByIHFgcLBwIG/wcCBwoHFgcjBzAHOwdGB1IHYAdwB4IHlAehB6oHrAerB6kHqgeyB8AH0gflB/QH/QgBCAMIBggNCBoIKQg4CEYIUQhbCGUIcgiCCJQIpgi3CMcI1QjjCPAI/AkFCQsJDAkKCQYJAwkBCP4I+gjzCOYI0wi5CJcIbQg8CAEHugdeBucGTgWTBMED7gM4AsACnQLXA2IEIgTzBbQGUQbBBwoHOgddB3gHkAehB6wHsQe0B7cHvgfHB9AH1AfTB80HxwfDB8QHywfXB+QH8wgCCBEIHwgsCDYIOwg8CDsIOQg6CD0IQwhJCE4IUQhVCFkIXwhnCHAIdwh9CIQIjQiaCKwIwAjSCOEI7Qj3CQUJGgk0CVEJawl7CYAJewlzCW4Jbwl3CYQJkQmaCZ0JmgmTCYoJfwlzCWMJUgk/CSwJHAkQCQcJAwkACP4I/Aj4CPMI6wjiCJ4IlQiNCIUIfgh2CHAIbQhtCG8Icgh2CHYIcwhsCGEIVAhFCDQIJAgTCAMH8gfhB9AHvgeuB58HkweLB4YHgweDB4MHhQeJB44HlgefB6gHrwe0B7YHuAe6B78HyAfVB+QH9wgLCCAINQhHCFkIagh9CJUIswjXCP4JJAlGCWAJdAmECZUJqwnFCeIJ/woXCisKPApLClwKcAqGCpoKqgqzCrkKvQrGCtUK6wsECxkLJwsqCyULHAsXCxoLJQs2C0gLVAtaC1sLWQtYC1sLYgtqC3ILeguDC5ALogu7C9cL8wwMDCEMMQxADFAMZAx7DJQMrwzIDN4M8g0CDQ4NFg0cDSENKA0yDT8NTw1gDXENgg2SDaINtA3GDdgN6g37Dg0OHw40DkoOYw57DpMOqg6+Ds8O3g7pDvEO9w79DwMPCg8SDxcPGQ8WDxAPCg8GDwYPCQ8PDxQPGA8bDx4PIQ8lDykPLQ8vDy8PLw8vDy8PLg8qDyQPGg8QDwcPAQ79DvkO8g7mDtYOxQ61DqgOnw6XDo8Ohg58DnMOag5fDlIOQQ4sDhYOBA36DfgN/g4IDhAOFA4UDhMOEQ4PDg4OCg4CDfYN6A3bDdINzQ3LDcwNzA3KDcgNxA3ADboNsQ2nDZsNjw2GDX8New14DXUNcw1xDW8Nbw1vDW8Nbw1uDW8NcA1yDXINbw1nDVsNTA0/DTINJA0TDPwM4QzIDLcMtAzBDNoM9Q0JDRENDQ0BDPcM8wz3DQANCA0NDQoNAAzxDN0MxQypDIoMawxPDDoMLAwkDB0MFAwIC/kL6gvcC88LwAurC5ALcgtWC0ALMwssCyYLGgsFCucKxAqgCoAKYgpBChkJ5gmoCWIJGgjUCJAITwgOB80HjgdWBygHCAb1BukG3gbPBrgGnQaABmcGVwZPBk0GSwZDBjIGFQXvBcQFmwV3BVoFQwUvBRkE/wThBMEEoASBBGQESgQxBBkEAQPoA88DtgOdA4IDZgNJAysDDALqAscCoQJ6AlICKwIHAeUBxAGjAX8BWAEvAQYA3wC5AJUAcABKACP//P/Z/7z/pf+S/4D/bP9T/zb/Fv70/tL+sP6P/m3+TP4r/gz97v3S/bf9nv2F/Wz9U/05/R79Avzj/MP8o/yF/Gn8T/w1/Br7+/vb+7n7mPt5+1z7Qfsl+wf65/rF+qL6gPpf+kD6I/oG+er50Pm4+aH5ivly+Vf5Ovkb+P744/jL+Lb4ofiL+HL4WPg/+Cb4Eff99+r31vfC96z3l/eD93D3XfdL9zf3JPcR9v727fbc9sz2u/aq9pr2i/Z+9nH2Y/ZT9kH2LvYb9gr1+/Xu9eH11PXI9bz1sfWo9Z/1l/WO9YT1e/Vz9Wz1ZvVh9Vv1VfVO9Uj1Q/VA9T71O/U59Tb1NfU09TX1NvU39Tf1OPU49Tr1PfVB9UT1RvVG9UX1RPVD9UP1Q/VC9UH1QfVB9UX1S/VU9V71Z/Vv9XT1dfVz9W71avVq9XL1gvWb9bj10/Xp9fn2A/YM9hb2IvYu9jb2OPY29jT2NvY/9lD2Y/Zx9nj2dvZv9mn2aPZv9nz2ivaV9pj2lPaI9nb2YvZQ9kT2RPZN9l/2cPZ79nn2a/ZV9j32LPYg9hn2EfYG9fn17vXp9en16fXk9db1wfWw9an1rfWu9Zn1WfTp9F3z2POG84fz3fRp9Pv1YPV69Uz08fSU9FT0PvRI9Fn0XfRI9B/z7fPA853zgPNg8zjzBvLT8qfyiPJ28mryXfJJ8i7yEfH18d/xzvG+8a3xmPGC8W3xWvFK8TvxK/EZ8QXw8fDf8M/wwPCx8KHwkfCC8HXwbPBl8F/wV/BO8ETwPfA48DbwN/A28DPwLfAl8B/wHPAf8CXwLfAy8DTwMvAt8CjwI/Ag8B3wGfAT8AvwBO//7/3v/vAC8AfwCvAM8A3wDfAQ8BTwG/Aj8CzwNfA+8EfwUPBX8FzwXvBe8FzwWvBa8FzwYPBl8GrwcPB38H7whvCQ8JrwpvCz8MDwz/Dg8PHxA/EV8SfxOPFJ8VrxavF58YXxj/GU8ZfxmvGe8aXxsfHB8dXx6vH+8hDyIfIx8kLyVPJo8n3ykfKl8rbyxfLU8uLy8PMA8xHzIvMy80HzT/Nc82rzePOI85rzrPO/89Pz5vP59Av0G/Qp9DX0P/RI9FH0XPRp9Hn0ifSa9Kv0u/TK9Nr06vT69Qn1F/Uj9S71OPVB9Ur1U/Vd9Wb1bvV29X31hPWM9ZP1m/Wi9ar1sfW59cD1x/XP9db13vXn9fD1+fYA9gX2B/YH9gX2BfYH9gz2EvYX9hv2HPYc9hr2GPYX9hf2F/YX9hf2GfYg9iv2PPZS9mj2fvaR9qL2sfbA9s/23vbt9vv3B/cS9xz3Jvcv9zf3PvdE90f3SvdN91D3Vfda91/3Y/dm92r3b/d29373iPeS95v3pPet97f3wvfN99j34vfr9/L3+ff/+Ab4C/gP+BL4FPgX+Br4IPgo+DL4PvhL+Fj4Zvhz+H74iPiO+JH4kviS+JT4mvii+K34t/i++ML4wvi/+Lv4t/iz+K/4rPip+Kj4p/ip+Kv4rPit+K34rviw+Lb4wPjO+N347Pj4+QD5BPkE+QD4+vjy+Ov45vjl+Of47fj2+P/5B/kO+RT5G/ki+Sz5NvlC+U35WPli+Wv5c/l6+YD5hPmI+Y75lPmc+aT5rPmy+bb5uPm4+bn5u/m/+cX5zfnX+eT59PoH+hv6L/pD+lX6Zvp2+ob6lfqk+rH6vfrF+sv60PrU+tr64vrr+vf7A/sO+xf7Hvsj+yf7K/sx+zn7Q/tQ+177a/t2+4D7ifuS+537qfu3+8T70fvd++j79PwD/BX8K/xB/Ff8aPx0/Hr8fPx9/IH8iPyV/Kb8ufzN/OH89P0I/Rv9Lf0//U/9XP1o/XP9fv2I/ZT9of2w/cL92f31/hX+OP5c/n7+nf63/sz+3v7u/v7/Ef8n/z7/V/9u/4L/kv+h/6//v//U/+0ACgAnAEMAXAByAIgAnwC4ANMA7wELASUBPAFRAWYBfQGXAbUB1QH4AhoCOwJXAnAChAKXAqsCwgLfAwADJANHA2gDggOXA6YDsAO1A7cDtQOzA7YDxgPmBBoEXQSoBO4FJQVHBVQFUQVIBUMFRwVVBW0FiQWpBckF6AYIBicGRAZdBnIGhAaWBqoGwQbbBvYHEAcnBzwHUAdlB3wHlQetB8AHzAfPB8sHwQe2B60HqQerB7EHuwfFB80HzQfGB7UHnQeDB2sHWwdWB1sHZwd1B4IHiQeKB4cHgQd6B3IHagdjB1sHVQdPB0sHRwdDBz8HPgdAB0gHVAdjB3EHewd9B3kHbwdlB14HWwdcB2AHZAdnB2gHZwdkB18HVwdOB0IHNgcrByMHHgceByAHJQcsBzIHOgdBB0kHUwdgB28HgAeRB6EHrQe1B7sHwAfHB9EH3QfpB/QH+wgBCAcIEAgcCCsIOghGCFAIVwhgCGwIfQiPCKEIsAi7CMYI0gjiCPcJDwkkCTIJOAk2CS8JJgkdCRQJCwkBCPMI4gjNCLEIjghgCCYH4QeMByYGqQYTBWYEqwP5A2kDFwMUA2QD9wSxBW8GFwaYBvAHKAdMB2cHfQePB50HpAeoB60HtQfAB8wH0wfUB80Hwge3B7EHswe7B8gH1gfkB/MIAQgPCBwIJggsCC8IMAgyCDcIPghGCEwITwhOCEwITAhPCFYIYAhqCHUIfwiKCJcIpQizCMAIzQjaCOsJAQkcCTcJTglcCV4JVglLCUMJRQlPCWAJcAl6CXoJcQlgCU4JPAktCR8JEgkFCPgI7AjjCN0I2wjaCNgI0wjMCMEItQipCGwIZwhkCGIIYAhdCFoIVghSCE4ISQhECD0INgguCCUIGwgRCAQH9gfoB9gHyAe3B6gHmgePB4gHhgeIB40HkgeTB5EHjQeJB4YHhweMB5IHlwebB54HoQemB64HuAfGB9QH4wfyCAMIFggqCD8IVQhsCIYIowjECOYJBgkhCTYJRQlUCWcJgQmiCcYJ5woDChYKJAoxCkEKVQprCn8KjAqSCpQKlwqhCrYK0QrrCv0LAQr5CukK3ArbCucK/gsYCy0LOAs6CzYLNAs4C0ILTwtbC2QLaAttC3gLiwumC8YL5gwADBMMIQwtDDwMUAxpDIUMnwy2DMgM1gzgDOgM7gz1DP4NCA0VDSQNNA1EDVQNZQ11DYYNlw2nDbUNwg3PDd4N7w4DDhoOMw5LDmIOdg6JDpkOpw60Dr8OyA7QDtgO4Q7pDu8O8g7xDu0O5w7jDuAO4Q7jDuYO6Q7sDu8O9A76Dv8PBA8GDwgPCQ8LDwwPDA8IDwIO+A7uDuUO3g7ZDtQOyg68DqwOmw6MDoMOfA52Dm4OZA5WDkgOOg4tDh8OEQ4BDfEN5A3eDd4N5Q3tDfQN9w31DfIN7w3tDe0N6w3mDd0N0Q3EDbsNtQ2zDbMNsw2yDa8Nqw2mDZ8Nlg2MDYINeg10DXANbw1tDWoNZQ1eDVgNVA1SDVMNVQ1XDVYNUA1EDTENFwz6DN4Mxwy2DKwMogyUDH4MXww/DCYMGwwjDDsMWgx2DIgMjgyKDIIMfAx6DHwMfwyADH4Megx0DGwMYQxTDEAMKwwXDAgL/wv7C/sL+AvyC+gL3AvOC8ALrwubC4ELZAtHCy8LIAsZCxQLDAr7CuEKvwqbCnkKWwpBCiUKBAncCasJdQk7CP0IvAh2CCoH3AeQB0wHFAbrBs4GuQalBo8GdgZdBkgGPAY5BjwGPwY7BioGCgXeBa0FfgVXBToFJAUSBP8E5gTIBKYEgwRiBEUELAQWBAID7gPaA8UDrwOXA3sDXQM+Ax4C/gLeAr4CmwJ2Ak4CJwICAd4BvAGYAXIBRwEaAOsAvwCVAHAATAAqAAj/5//I/67/mP+F/3P/X/9G/yn/Cf7m/sT+o/6C/mL+Qv4j/gX96f3O/bT9mv2A/Wb9S/0w/RT8+Pza/Lz8nvyC/Gf8Tfwz/Bb79/vV+7P7kftz+1f7Pfsi+wX65frC+p/6ffpd+j/6IvoG+er5z/m2+Z75hvlt+VP5NvkZ+Pz44fjK+LT4n/iI+G/4VPg6+CL4Dff69+f31Pe+96j3kvd892n3VvdE9zD3G/cH9vP24PbO9r72rfac9oz2ffZu9mH2U/ZF9jX2JPYS9gH18PXh9dL1xPW39av1oPWW9Y31hPV79XD1ZfVa9U/1RvU+9Tf1MvUt9Sn1J/Uk9SL1H/Uc9Rj1FvUV9RX1FfUW9RX1FfUV9RX1GPUa9R31H/Uf9R/1HvUd9Rz1HfUe9R71HvUf9SH1JPUr9TT1PvVJ9VH1VPVS9Uv1Q/U/9UP1UfVp9Yb1ofW49cj10vXa9eT17/X69gL2BvYE9gL2AvYK9hj2KfY59kT2RvZE9j/2PPY+9kX2T/Za9mL2ZfZi9lf2SPY39iv2J/Yu9j32T/Zc9l32UvY/9in2FvYI9fz18fXk9df1zfXH9cb1w/W79av1mPWK9Yj1j/WQ9Xb1L/S49Cfzo/NX82DzvvRR9Of1TPVm9Tb02fR69Dj0HvQj9C70KPQJ89XznPNt807zOPMi8wDy0/Kf8nHyT/I88jLyKPIX8f3x3PG78aDxjPF98XHxYvFS8UDxLfEa8Qbw8PDY8L7wpPCN8HrwafBb8E/wQ/A68DLwLPAm8B7wFPAJ7//v+O/27/jv++/87/jv7+/k79rv1u/X793v5O/p7+nv5u/g79vv2e/X79bv0+/O78jvwu+/777vwO/C78TvxO/D78Pvxu/L79Lv2u/i7+rv8e/58ALwC/AT8BnwHfAf8CDwIfAi8CXwKPAs8DHwNvA88EPwS/BU8F3wZvBw8HzwivCc8LDwxfDZ8Ovw/PEL8RrxKvE58UjxVPFd8WTxavFw8XnxhfGU8aXxt/HJ8dnx6vH68gvyH/Iz8knyXvJz8obylvKl8rPywfLQ8t/y7/L+8wzzGvMo8zfzSPNa823zgfOT86XztfPF89bz5/P39Ab0FPQf9Cn0MvQ+9Er0WfRp9Hj0iPSW9KX0tPTE9NP04vTw9Pz1B/US9R31KPUz9T31R/VQ9Vj1XvVk9Wv1cfV39X71hfWO9Zb1nvWm9az1sfW29bv1wPXG9cv10PXS9dT11/Xa9d/15fXq9e718PXw9fD18PXx9fL18/Xz9fL18vXz9fn2AvYO9hv2J/Yy9jv2RfZQ9l72bvZ/9pD2oPav9r72zvbd9uv2+PcC9wn3D/cV9xz3JPcr9zH3Nvc59zz3QPdG9073V/dg92n3cvd894f3kved96f3sPe498D3yvfU99/36vfy9/j3/Pf/+AT4C/gT+Bz4JPgr+DH4Nvg8+EL4SPhN+E/4UPhQ+FP4Wvhm+HX4hviW+KT4rfi0+Lf4t/i0+K74p/ie+Jf4lPiT+JX4l/iY+Jb4kfiL+If4hfiH+Iz4kviX+Jz4ofim+Kz4tPi++Mf4z/jU+Nb41fjQ+Mn4wvi8+Ln4ufi++Mb40vjg+O/4/vkO+R35K/k3+UH5SvlR+Vn5Yflq+XP5evmA+YT5hvmJ+Yv5jvmS+Zf5nfmn+bX5x/nc+fL6B/oa+ir6OPpH+lj6a/p/+pH6oPqo+qz6rfqu+rH6t/rB+s762/rn+vH6+fr/+wP7B/sO+xb7Ifsu+z37S/ta+2j7dvuG+5b7qPu5+8f70fvX+9v74Pvq+/n8Dvwo/ET8Xfxy/IL8jfyV/Jv8o/yr/Lb8wvzR/OD88f0C/RP9I/0z/UP9Uv1i/XH9f/2L/Zf9ov2v/b/90/3s/gn+J/5G/mT+gP6a/rL+yP7e/vP/CP8d/zH/Rf9Y/2n/eP+G/5X/qP++/9n/9wAUADAASABdAHEAhQCcALYA0gDuAQoBJQE+AVYBbwGIAaMBwAHgAgICJgJMAnACkQKuAsgC4QL7AxgDOgNfA4UDqwPQA/MEEwQtBD8ERwREBDsEMgQ1BEgEcASqBOsFKAVYBXMFfQV5BXMFcQV4BYkFogW+BdsF9wYSBi0GSAZkBoAGnQa7BtgG9QcQBykHPgdQB2AHbgd9B40HnQetB7oHxAfIB8kHxwfEB8AHvge+B78HwgfEB8QHwge8B7QHqQefB5gHlAeUB5UHlgeVB5AHiQeCB3wHeAd4B3oHfQeAB4EHgAd8B3cHcAdqB2UHZQdqB3QHgQeNB5YHmQeYB5MHjQeLB4sHjgeTB5YHlweVB5IHjQeHB4EHeQdvB2YHXAdUB04HSQdEB0AHPQc7BzsHPQdCB0kHUQdcB2gHdweIB5gHpgexB7kHvgfDB8oH0gfdB+kH9QgCCBAIHwguCDwIRghMCFEIVghgCHEIhQibCK0IuQjBCMkI1QjoCQEJHAkzCUIJSQlKCUYJQQk5CS0JHAkFCO4I2wjNCMMItAiZCGsIJwfSB20G/QZ/BfIFVASvBBYDowNvA4kD7gSKBT0F5wZxBtEHDAcxB0wHZweBB5cHpwevB7MHtge8B8QHygfJB8EHswekB5kHlQeZB6IHrge7B8gH1gflB/QIAQgJCAwIDAgNCBEIGQgjCCsILggtCCgIJAglCCwIOAhGCFEIWQhdCGAIZQhtCHkIiQidCLUIzwjqCQQJFwkhCSAJFgkKCQIJAwkOCR8JLwk2CTMJJAkPCPoI6QjfCNsI2gjZCNYI0QjLCMYIwgi9CLUIqwieCI8IgAh0CEUIQwhDCEEIPwg8CDkINAguCCUIGggLB/wH7QfgB9UHzQfGB74HtgesB6IHlweMB4IHewd3B3gHgAeLB5cHoAejB54HlAeIB38HfAd9B4MHiQePB5QHmQegB6kHtQfBB80H2AfkB/MIBQgcCDUIUAhsCIkIpwjFCOII+wkNCRoJIwkuCUAJXQmDCa0J0wnvCgEKCwoTCiAKMgpIClsKaAptCm0KcQp+CpcKtgrSCuMK4wrVCsEKswq0CsUK4Ar9CxILHAscCxoLHAsnCzgLSQtWC1sLWwtcC2QLeAuWC7gL2QvyDAQMDwwbDCoMQAxbDHcMkAykDLMMvAzCDMgMzgzVDN8M6wz4DQcNFw0nDTcNSQ1ZDWoNeQ2HDZINmw2kDbANvw3SDekOAg4aDjAORA5VDmUOdA6BDowOlg6fDqgOsg67DsQOyg7MDswOyQ7FDsIOwA6/Dr4Ovg6/DsEOxQ7LDtEO1g7ZDtsO3Q7fDuEO4g7hDtwO1Q7NDsUOvg63Dq8OpA6VDoUOdg5qDmMOXg5YDk8OQQ4wDh0OCg38DfAN5g3dDdUNzw3MDc0Nzw3TDdQN1A3RDc4NzQ3NDc4NzQ3IDb8NtA2oDaANmw2ZDZkNmg2ZDZYNkg2LDYQNew1yDWkNYg1eDV0NXQ1bDVcNUA1HDT8NOQ02DTYNNw01DS4NHg0FDOQMvgyYDHkMZAxbDFwMXwxdDE8MNgwUC/UL4QvdC+kMAAwXDCgMLQwoDB0MEQwHDAAL/Av5C/cL9gv2C/cL+Av2C/EL6AveC9UL0QvQC9IL0wvTC9ALzQvJC8QLvAusC5QLdAtQCy4LFQsGCv8K+QrwCt0KvwqcCnYKUgo0ChkJ/gniCcEJmwlvCT4JBgjGCHwIKwfXB4UHPAb/Bs8GqQaJBmsGTgYyBhwGDwYMBhEGGAYXBgkF6wXBBZAFYQU6BR4FCQT5BOcE0AS0BJQEcgRTBDYEGwQEA+0D2APEA7ADmwODA2cDSAMmAwMC4QLAAqACfwJcAjgCFAHxAc8BrgGKAWMBNgEGANUApgB7AFYANgAY//v/3v/B/6f/j/94/2L/S/8x/xT+9P7T/rL+kf5x/lL+M/4W/fr94P3G/az9kf11/Vj9O/0f/QP85/zL/K78kvx3/F78Rvwt/BL79PvT+6/7jPts+077M/sY+v363/q/+p/6gPpi+kX6KfoL+e750Pmz+Zj5f/ll+Ur5L/kS+Pf43vjH+LL4nfiH+G34U/g4+B/4Cff19+H3zfe295/3iPdz91/3Tfc79yf3Efb69uT2z/a99qz2nPaN9n32bfZd9k32PvYv9h/2EPYA9fD14PXQ9b/1rvWe9Y/1gvV49XD1afVh9Vj1TfVB9TX1KfUe9Rb1EPUM9Qn1BvUE9QL0/vT79Pf09PTz9PL08vTy9PH08fTw9PD08PTx9PL08/Tz9PL08fTw9PH08/T29Pj0+vT79Pv0/fUA9Qb1D/UZ9SP1KPUn9SH1GPUS9RT1IPU19VD1avWA9Y71mPWf9ab1sfW89cX1y/XN9c31zvXT9d717PX89gj2EPYS9hH2D/YN9g72E/Yc9if2MvY59jj2MPYi9hT2DPYN9hj2JvYy9jb2L/Yg9gz1+fXn9dj1yPW69a31pfWi9aH1nvWU9YL1bvVi9WL1bPVv9Vf1EPSZ9AbzffMp8yrzgPQR9Kv1G/VF9ST01PR49DH0DvQF9APz9PPN85TzVvMh8v7y6PLV8rvyl/Js8kTyJfIT8gjx/fHs8dHxr/GM8W7xWPFJ8T3xMfEj8RLw/vDp8NHwt/Ca8H3wYfBJ8DbwJvAa8A/wBu/97/bv7+/n793v0u/G77zvt++377vvwO/D78Dvue+v76bvoe+h76Pvpu+n76Tvn++a75fvlu+W75bvk++P74vviO+H74jvie+J74fvhe+C74Pvh++O75Xvne+i76fvq++x77nvwe/K79Hv1u/b79/v5O/q7/Hv9u/67/3wAfAG8A7wF/Ag8CjwL/A28D/wS/Bb8G/wg/CX8KnwufDI8Nfw5/D48QnxGPEm8TLxPfFJ8VXxYfFv8XzxifGV8aLxsfHB8dPx5vH78hDyJvI78lDyY/J08oTyk/Kj8rLywfLQ8t7y7PL58wjzGfMs8z/zU/Nm83bzhPOR85/zrvO+88/z3vPt8/n0BfQR9B70LPQ89Ev0WvRo9HX0g/SS9KD0rvS79Mf00vTd9Oj09fUD9RD1HfUo9TH1OPU+9UP1SPVN9VP1W/Vk9W71dvV+9YP1hfWH9Yj1ivWN9ZD1lPWY9Zz1oPWm9az1tPW69cD1xPXG9cf1yfXM9c/10/XV9df12PXa9d314fXm9en17PXt9e/18vX59gP2EPYe9i32O/ZK9ln2afZ69or2mPak9q/2ufbE9tH24Pbu9vz3B/cQ9xj3H/cm9y33M/c49z33Q/dJ91H3W/dl9273dfd894T3j/eb96r3uPfF99D32Pfg9+r39Pf/+An4D/gR+BD4DvgN+A74EvgW+Br4Hfgf+CP4Kvg0+EH4UPhg+G34efiD+Iv4kfiT+JH4jPiF+H/4e/h7+H74gviF+Ib4hPh/+Hr4dfhw+Gv4Zvhf+Fr4V/ha+GX4dviM+KT4ufjH+M74y/jB+LP4o/iU+Ij4gfh++IH4h/iR+J74rvjA+NL44/jy+P75B/kP+Rj5Ivku+Tr5RvlP+Vf5Xvlk+Wn5bflw+XP5dfl7+Yb5l/mt+cX52/nv+f76CvoY+if6O/pQ+mP6c/p8+oH6gvqD+oj6kPqc+qr6tvrC+sv60vrZ+uD66fry+v37CfsW+yT7NPtE+1b7aft++5T7qPu5+8T7yvvK+8j7x/vM+9j77PwG/CP8QPxa/HL8hfyV/KP8rfy2/L38xPzL/NX84fzw/P/9D/0g/TD9Qv1U/Wb9d/2G/ZT9n/2r/bn9y/3g/fj+Ev4s/kf+Yf58/pj+tP7Q/un/AP8U/yX/NP9D/1H/X/9u/4D/lf+u/8r/6AAEAB0AMgBFAFUAZwB9AJUAsADNAOsBBwEjAT4BWAFxAYsBpQHDAeUCDAI3AmQCkAK3AtsC+gMYAzcDWAN7A58DwwPnBAsEMQRXBHoElQSnBK8EsQSzBL8E2QUBBTIFYgWKBaMFrQWvBa4FsQW9BdAF5wX8Bg8GHQYrBjsGUAZtBpAGtgbcBv4HGwczB0cHVwdlB3IHfweLB5YHoQeqB7IHuQfBB8kH0QfZB98H4wflB+MH3gfXB80Hwwe6B7IHrgetB68Hsge1B7UHsQeqB6AHlQeKB4EHewd3B3YHdgd4B3sHfQd+B3wHeQd1B3IHcwd5B4MHkAebB6QHqQerB60Hrwe0B7oHvgfAB70HuAexB6oHpAefB5sHlQePB4oHhQeBB34HeQdzB2wHYwdcB1kHWgdfB2cHcQd8B4gHlQehB6wHtAe5B7sHvAe9B8IHywfYB+gH+ggNCCEIMwhBCEsIUAhRCFIIVwhjCHYIjQijCLMIvgjFCM0I3AjzCQ0JJAk0CTsJPQk/CUUJTglUCVEJQAkiCQEI5wjaCNkI2gjOCKsIbQgZB7kHVAbrBncF8AVVBLIEIAO/A6oD5wRrBRYFwwZVBrsG+QceBzoHWAd6B5sHswe/B8AHvAe6B7sHvge+B7cHqwebB40HhAeCB4YHjQeUB5wHpgezB78HyQfNB8oHwge5B7UHtwfAB8sH0wfVB9QH0QfSB9kH5QfxB/sH/gf7B/cH9gf7CAkIHwg5CFcIdAiQCKgIuQjCCMEIugiwCKkIqgiyCMAIzAjRCMsIugilCJEIhAiBCIcIkAiZCJ4IngibCJUIjgiGCHwIcAhkCFgITghICBwIHQgaCBUIDggICAEH/Af1B+sH3QfLB7YHoweTB4cHgAd7B3gHdAdwB2sHZQdgB1sHWAdZB18Hawd7B4wHmQeeB5oHkAeEB3kHdAd1B3oHgQeHB44HlQedB6gHtQfCB88H2gfmB/UIBwgeCDkIVghzCJEIsAjOCOkI/wkNCRMJFQkaCSgJQglnCZAJtQnQCeAJ5wntCfgKCgogCjQKQQpFCkUKSQpYCnMKlQq2CskKywq/CqwKnwqgCrAKygrkCvgLAgsECwcLDwseCzELQQtKC0wLSQtJC1MLaQuJC6wLywvhC/AL+gwFDBYMLQxHDGIMeAyJDJQMnQykDKsMswy8DMYM0QzeDOwM+w0MDRwNLA07DUkNVQ1fDWgNbw13DYINkA2iDbcNzw3mDf0OEQ4kDjUORA5RDlwOZg5uDncOgQ6MDpYOng6iDqMOog6fDpwOmg6YDpgOmA6ZDpwOoA6lDqkOrQ6uDq8Org6uDq8OsA6wDq4Oqg6lDp4Olw6ODoQOdw5oDlkOSw5ADjgOMg4sDiMOFQ4EDfIN4g3VDcwNxw3EDcINvw29DbwNug23DbUNsg2wDa8NsQ2yDbINrw2nDZwNkA2GDX8NfA19DX8NgA2ADXwNdw1wDWgNXw1WDU4NSA1FDUQNRA1CDT0NNg0tDSUNHg0aDRcNFA0MDP4M5wzKDKcMggxhDEkMPgw/DEoMWAxiDGEMUgw5DBwMBQv4C/gMAAwLDBAMDQwCC/AL3gvNC8ALtguuC6gLowuhC6ILpguqC68Lsgu0C7ULtQu3C7gLuQu7C70LwgvKC9IL1gvRC8ALoQt5C1ALLAsTCwUK/Qr0CuQKyQqlCnsKUQorCgoJ7gnUCbkJnAl6CVQJJgjwCLAIZggVB8IHdActBvEGvwaTBmoGQwYeBf8F6QXdBdsF3QXcBdIFugWYBXAFRwUlBQkE9QTjBNAEuwShBIYEagROBDMEFwP6A90DwAOmA40DdgNfA0UDJwMGAuMCwAKdAnwCWwI6AhkB+AHXAbcBlwFzAUwBIADvAL8AkABnAEMAJQAJ/+//0/+4/5z/gv9o/0//Nf8Z/vz+3f6+/p3+ff5c/jz+Hf3//eX9zP20/Zz9gv1m/Ur9Lf0Q/PX82fy9/KH8hfxp/FD8OPwh/Af76/vL+6f7g/th+0H7JfsL+vH61fq4+pv6ffpg+kT6J/oK+ev5zfmv+ZL5d/lc+UH5JPkI+O741fi/+Kv4l/iA+Gf4S/gw+BX3/vfo99T3v/ep95L3e/dm91P3Qfcu9xr3A/br9tP2vPap9pj2ifZ89m32XvZN9jz2KvYY9gf19/Xn9dj1yfW49af1lPWB9XD1YfVW9U71SPVC9Tv1MvUo9Rv1D/UE9Pr08vTr9Ob04fTd9Nr01/TU9NL00PTO9Mz0y/TK9Mj0x/TG9Mb0xfTF9MX0xfTF9MT0w/TC9ML0xPTG9Mr0zfTP9ND00fTT9Nb03fTm9O709PT19PD06vTl9Ob08PUD9Rr1MvVH9VX1XvVk9Wv1c/V99Yf1kPWV9Zn1nPWg9af1sfW+9cr11fXd9eD14PXe9dz13fXk9fH2APYO9hb2FPYJ9fr17vXp9e319/YC9gj2BvX89ez12fXG9bL1n/WN9YD1evV69X31ffV09WH1S/U79Tn1QvVK9Tn0/fSQ9AHzcvMN8vTzL/Or9D70uPT39PL0t/Rm9Bzz7PPU88jztvOS817zI/Ls8sHyo/KM8nTyWPI58hvyA/Hy8ebx2fHG8avxifFm8UfxLPEY8Qfw+PDo8NfwxPCv8JjwffBg8EPwKPAR7//v8e/l79vv0O/F77rvsO+l75rvj++F733vee96737vgu+F74TvgO9773Xvcu9y73HvcO9s72fvYu9d71vvWu9a71jvVe9S70/vT+9R71TvVe9U71DvTO9J70rvTu9V71zvYe9k72fva+9x73rvhO+M75Lvlu+a76Dvp++x77vvxO/J783v0O/W797v6O/z7/3wBPAJ8A/wGPAj8DLwQ/BV8Gbwd/CI8JrwrfDA8NLw4/Dx8P7xC/EZ8SfxNfFC8U7xWfFj8W/xffGN8Z7xsfHE8dbx6vH/8hXyKvI/8lLyZPJ18obyl/Kn8rbyxPLR8t7y7PL98w7zIfMy80LzUPNc82jzdvOF85XzpfO088Pz0fPf8+7z/vQP9B/0LvQ89En0VvRj9HH0fvSK9JT0n/Sp9LT0wfTP9N707fT69QX1DfUU9Rr1IPUl9Sr1MPU39T71RfVL9VD1UvVU9VT1VfVX9Vn1XPVe9WL1ZvVs9XP1fPWF9Y31k/WX9Zv1nvWh9ab1q/Wx9bb1u/XA9cT1yPXK9cv1yvXJ9cj1yfXN9dP12vXh9en18PX39gH2C/YY9iT2LvY49kH2TPZZ9mv2f/aV9qv2wPbT9uP28fb99wb3DPcQ9xH3E/cW9xz3Jfcu9zj3QPdI90/3Wfdk93H3fveL95b3ofes97n3x/fX9+T37ffw9/D37ffq9+j36ffs9+/38ff09/j3//gH+BH4HPgm+DD4OPhB+Er4U/ha+F74X/hd+Fn4V/hW+Fj4W/hf+GL4ZPhl+Gf4Z/hl+GH4V/hK+Dz4MPgr+C34OPhK+GD4dPiF+JD4lPiT+I34h/iA+Hr4dfhy+HD4cPhz+Hr4hviU+KP4sPi7+MH4xvjK+ND42vjo+Pn5Cvkb+Sr5N/lD+U75Vvlb+V35Xvlg+Wf5dPmH+Z75tfnJ+dj55fnx+f/6EPoi+jP6QfpK+k/6UvpX+mD6bPp7+on6lvqf+qf6r/q4+sP6z/rc+un69fsA+w37Hfsx+0j7ZPuB+537tvvH+9D70fvN+8b7wvvE+8z73Pvw/Ab8Hfwz/En8Xvxz/If8mPym/K/8tfy7/ML8zfza/On8+/0N/R/9Mv1F/Vj9av16/Yj9k/2e/av9uv3M/eH99/4O/if+Qf5e/nz+nf68/tn+8f8F/xT/If8t/zn/R/9Y/2z/g/+e/7r/1v/vAAUAFwAmADUARwBcAHYAkwCxAM8A7gEKASYBQQFaAXMBjQGpAckB7wIaAkgCdgKkAs8C+AMhA0oDcgOYA7wD2gP2BBEEMARTBHoEoQTFBOME+gUNBSEFOQVXBXkFmgW0BccF0gXbBeUF9gYMBiUGPAZLBlMGVAZUBloGagaFBqkG0Qb3BxgHMgdGB1YHZAdxB38HjQeZB6MHqwezB7oHwgfLB9YH4QfqB/IH9gf2B/MH7QflB9sH0QfIB8EHvQe7B7sHuwe8B7wHuwe5B7YHsgerB6EHlgeJB34HdQdyB3MHdwd8B4AHgAd+B30HfQeBB4kHlAefB6sHtgfBB8wH1wfiB+gH6gflB9wH0gfIB8IHvwe+B7wHuAezB60HqAekB58HmweVB40HhQd+B3sHfAeCB4oHlAefB6sHtgfAB8cHygfJB8YHxAfFB8sH1wfoB/sIDwgiCDQIRQhRCFgIWwhcCF4IZQhzCIcInAivCLwIwwjKCNYI6wkGCSEJNAk8CTkJMwkzCT4JUQlmCW4JYwlFCR8I/QjqCOYI5gjdCL4Ihgg9B+0HoQdVBv0GiQXxBT4EjAQAA8AD3QRQBPkFrwZMBrwG/wckBz4HWwd+B6EHuwfHB8UHvQe1B7QHtwe7B7sHtAeoB5wHkwePB44HjgeOB48HkgeXB54HogefB5EHewdjB1AHSAdLB1YHYwdsB3AHcAdxB3QHfAeFB4sHjQeJB4UHhQeMB5wHtAfPB+oIBAgbCC4IPQhGCEgIRghBCD0IPwhHCFIIXQhgCFsITAg4CCYIGwgaCCEILQg4CD8IQgg/CDoINAguCCcIIQgcCBoIGQgaB+QH5QfhB9kHzwfFB74HuAeyB6oHngeOB3sHaAdYB0wHRQdBBz4HOwc5BzcHNAcyBzEHMQc1Bz0HSgdcB28HfweJB4oHhQd8B3QHbwdvB3IHeAd+B4UHjgeZB6cHuAfJB9kH6Af2CAUIFggrCEMIXQh4CJUItAjTCPAJBwkWCRsJHAkcCSQJNwlUCXYJlgmvCb4JxwnQCd0J8QoHChoKJQonCiYKKQo3ClIKdAqVCqsKsAqoCpoKkAqSCqAKtwrQCuMK7gr0CvsLBAsSCyILLQsyCzMLMws5C0oLZQuGC6YLvwvQC9oL4gvuC/8MFgwuDEQMVQxiDG0MdwyBDI0MmAykDK4MuQzGDNQM5Az0DQMNEA0bDSUNLQ01DT0NRQ1ODVkNZQ11DYcNnA2xDccN3A3vDgEOEQ4fDisONQ4/DkkOVA5fDmoOcQ51DnUOcg5vDmwObA5uDnEOdQ55Dn4Ogg6HDooOjA6MDooOhw6FDoMOgw6DDoEOfg55DnEOaA5eDlIORQ43DigOGQ4MDgEN+A3vDeYN3A3RDccNvg23DbINsA2vDa8NrQ2rDacNog2eDZoNmA2YDZoNnA2dDZoNkg2HDXsNbw1mDWINYg1lDWcNaA1nDWQNXg1XDU8NRg0+DTYNMQ0tDSwNKQ0mDSANFw0PDQcNAQz7DPUM7QzfDM0MtgydDIQMbAxZDEwMSAxODFsMawx7DIQMgwx4DGcMVQxGDD4MOQw1DC0MHwwLC/QL3QvKC7sLrwukC5gLjAuBC3sLegt/C4kLlgukC7ALuAu+C8ALwQvCC8ULzAvYC+UL8AvyC+gL0QuuC4YLYQtCCysLGwsMCvgK2wq1CooKXQozCg8J8AnWCb0JowmGCWUJPQkNCNQIkQhHB/kHqwdjByMG6ga3BocGWAYpBf8F3AXCBbMFqgWiBZcFhQVrBU0FLgUQBPYE3wTJBLMEnASFBG8EWQRCBCoEDgPtA8kDpQODA2QDSgMyAxoC/wLiAsMCogKBAmECQAIgAgAB4AHAAaABfgFaATIBBgDXAKgAfABTADEAEv/3/9z/wf+m/4z/cv9Y/z//JP8I/uv+zP6u/o7+bf5M/ir+CP3o/cz9s/2b/YX9bv1W/Tz9Iv0I/O781fy6/J78gfxj/Ef8LfwT+/n73Pu8+5n7dvtV+zb7HPsD+ur60Pqz+pX6dvpY+jr6HPn/+eL5xfmo+Yz5cflW+Tr5HPj/+OP4yviz+J/4ivh0+Fr4P/gi+Af37vfY98T3sPec94b3cPdb90f3M/cg9wv29fbd9sX2rvaZ9of2ePZq9lz2TvY+9iz2GvYH9fP14fXQ9cD1sPWh9ZD1fvVs9Vr1SfU79TH1KPUh9Rr1EfUH9Pz08fTn9N301PTK9ML0u/S19LH0r/Su9K30rPSq9Kf0pPSh9J/0nfSc9Jz0m/Sb9Jv0m/Sb9Jv0mfSY9JX0lPSU9Jb0mfSc9J/0ovSl9Kn0rvS19L30wvTE9ML0vfS69Lr0wvTR9Ob0/PUR9SH1LPUz9Tn1P/VG9U71V/Ve9WT1afVu9XP1evWE9Y/1m/Wm9a71svWx9a71rPWx9bz1zfXf9ez18PXp9d31z/XH9cf1zvXY9d/14fXc9dD1wPWs9ZX1ffVn9Vf1T/VR9Vj1XPVX9Uf1L/Ua9RH1F/Uh9Rz09PSd9B3zj/MX8tjy5PM086r0H/Rt9IT0ZvQn8+Lzq/OI83bzZvNO8yny+vLI8pnyc/JT8jjyHvIG8fDx3fHN8b7xrvGZ8X7xX/E+8R7xAPDl8M3wuPCm8JXwhfBz8F7wRvAp8Azv8O/Z78fvuu+v76TvmO+L733vcO9k71nvUO9J70PvQe9B70LvRO9F70PvQe8+7zvvOu847zbvMu8t7yfvIu8f7x7vHe8c7xrvF+8V7xXvGO8d7yHvIu8g7xvvFe8T7xTvGO8e7yTvKO8r7y/vNu9B707vW+9l72nva+9r727vde9+74nvku+Y75zvoO+n77Dvve/J79Xv3u/k7+nv7+/48APwEPAe8C3wP/BR8Gbwe/CP8KDwrvC68MXw0PDe8O7w/vEN8RrxJfEx8T7xTPFc8W3xffGN8Z3xrvHB8dfx7vIF8hvyL/JC8lTyZ/J58ovynPKq8rbywvLP8t3y7fL+8w3zHPMp8zbzQ/NR82Dzb/N+84zzmfOo87fzyPPa8+vz/PQL9Bj0JvQ09EH0T/Rb9Gb0cPR69IX0kfSd9Kr0t/TD9M702PTi9Ov08vT59P71AvUF9Qj1DPUQ9RX1GfUd9SH1I/Um9Sn1K/Ut9S/1M/U39T31RPVN9VX1XPVi9Wb1avVv9XT1evWA9Yf1jvWV9Zv1ofWm9an1rPWv9bL1tfW59b31wfXD9cP1w/XF9cf1zPXS9dn13vXj9ej17/X59gf2GfYu9kT2WvZw9oX2mfar9rv2x/bP9tT22fbg9un29fcC9w/3Gfci9yn3MPc39z/3SPdQ91j3Yfds93n3ifeb96z3uffD98j3yffJ98f3xffD98H3v/e/98L3yffS99z35vfu9/X3/PgD+Av4FPge+Cb4K/gu+C74Lfgs+Cv4K/gs+C34MPg2+D34RfhM+E/4TPhD+DX4JfgW+Av4BfgE+Aj4D/gW+B/4KPgy+D34SfhU+F34ZPhp+Gr4a/ht+HH4efiD+I74l/ic+Jz4mviX+Jf4nfio+Lf4yfjb+O34//kR+SP5M/lA+Ur5T/lU+Vr5ZPlz+Yf5m/mu+b35yfnU+eD57vn9+gz6GPof+iT6KPou+jj6RvpW+mX6cvp8+oX6jvqZ+qf6tfrD+s761/rg+uv6/fsV+zb7XfuF+6r7x/va++H73/vX+877yfvK+9H72/vo+/T7/vwK/Bf8KPw+/Fb8bvyD/JT8oPyp/LH8u/zI/Nf86Pz6/Q39H/0y/UX9WP1o/Xf9hP2Q/Zz9qf24/cn92/3w/gb+Hv47/lr+fP6d/rv+1f7r/vz/Cv8X/yX/NP9G/1r/cf+K/6P/u//Q/+L/8QAAABAAJAA+AFsAewCdAL0A3QD6ARcBMgFMAWYBgAGaAbcB2AH9AiUCUAJ8AqoC2QMLAz4DcAOfA8gD6gQGBB8EOARWBHkEnwTGBOkFCAUjBT0FWAV0BZIFrQXFBdkF6wX9BhMGLgZMBmcGewaFBoYGgQZ9BoAGjQalBsUG6AcJByYHPwdUB2cHegeLB5oHpQetB7IHtge6B8EHywfWB+AH6QftB+4H6wfoB+UH4wfiB+IH4gfhB94H2AfQB8cHvwe6B7kHvAfDB8oHzgfNB8UHtwemB5YHiweHB4kHjweWB5oHmgeXB5QHkweVB5wHpQeyB8AH0QfjB/YICAgVCBsIGAgPCAIH9QfsB+cH5QflB+IH2wfRB8YHugexB6kHowedB5gHlAeRB5AHkQeUB5gHnQelB68HugfFB84H0QfRB9AHzwfTB90H7QgACBQIJwg5CEgIVQhgCGgIbQhwCHUIfgiMCJ8IsgjCCMwI0gjZCOcI/gkcCToJTglUCU4JQwk+CUYJWQltCXcJbglSCSwJCAjvCOMI3AjNCK4IfghGCBIH5we8B38HGQZ+BbgE5QQ2A9MD1wQ8BOQFoQZJBsQHDgc0B0wHZAeDB6IHugfEB8EHuQezB7UHvQfIB88H0QfNB8kHxQfEB8QHwge9B7gHtQe2B7kHuwe0B6AHgQddBzwHKAcjBysHOQdGB0wHTAdIB0UHRgdKB04HUQdRB1IHVgdfB20HfweSB6MHsAe6B8MHywfRB9QH1AfSB9IH1QfdB+gH9Af6B/kH7gfeB80HwQe9B8AHxwfPB9UH1wfYB9YH1QfTB9IH0gfTB9YH2gfgB5wHnQebB5QHiweCB3oHdQdxB2wHZAdYB0oHOgcsByAHGAcRBw0HCQcHBwcHCAcJBwsHDgcSBxkHJQc1B0gHWQdmB2wHbAdpB2QHYgdiB2YHbAd0B30HiQeZB6sHwAfWB+oH/AgMCBwILQg/CFQIagiBCJsIuAjWCPQJDQkeCSgJKgkrCTAJPQlRCWsJhQmbCasJuAnFCdYJ6woAChAKGQoaChgKGwonCj4KWwp3CokKjwqLCoMKgAqHCpgKsArICtoK5grtCvIK+QsCCwsLEgsXCxwLJQs2C08LbQuLC6QLtQu9C8ILyQvVC+cL/AwQDCAMLAw1DD4MSgxYDGcMdQyBDI0MmAymDLYMyAzaDOkM9Qz9DQQNCg0SDRsNJQ0uDTgNQg1ODVwNbQ1/DZINpQ24DckN2Q3oDfYOAw4PDhwOKQ42DkAORw5KDkkORQ5CDkAOQQ5FDksOUQ5XDlwOYA5jDmUOZw5oDmgOZg5kDmIOYA5eDlsOVg5ODkUOOQ4tDiEOFA4HDfkN6w3bDc0Nvw2zDaoNow2fDZwNmw2aDZkNmA2XDZUNkw2QDYwNiQ2GDYQNhA2GDYcNiA2FDX8NdQ1pDV0NVA1PDU4NTw1RDVINUg1QDU0NSQ1EDT0NNQ0tDSUNHw0bDRcNEw0MDQMM+QzwDOgM4QzbDNMMxgy1DKEMjQx8DHAMaAxkDGIMYwxnDG8MegyIDJUMngygDJwMkgyGDHkMawxcDEgMMAwVC/oL4gvQC8ILuAutC58Ljwt9C28LaQtsC3gLiwuiC7cLyAvTC9oL3gvgC+ML6AvvC/cL/Av8C/QL4wvJC6kLiQtqC08LOAsgCwYK5grACpYKawpDCiAKAgnoCdEJuAmdCX4JWQkrCPUItghwCCQH2AeOB0sHDQbVBp8GawY5BgkF3wW8BaEFjQV9BW0FWwVGBS4FFQT7BOIEyAStBJIEeARgBEoENgQjBA4D9APUA7ADigNlA0MDJgMLAvEC1wK8Ap8CggJlAkgCKwINAe4BzwGuAY0BaQFDARsA7wDCAJUAawBEACIAAv/l/8n/rv+V/3z/Zf9N/zT/Gf78/t7+v/6g/oH+Yf5A/h39+f3X/bf9m/2C/Wz9Vv1A/Sr9E/z9/Of80Py5/J/8gvxk/Eb8KPwK++z7zfut+4v7avtM+zD7GPsB+un6z/qy+pL6cvpR+jH6Evn1+dj5vPmh+Yf5bPlR+TX5F/j4+Nv4wPin+JH4fPhm+E34MfgV9/r34ffL97f3pPeR93z3ZvdP9zj3I/cO9vn25PbP9rn2o/aO9nv2aPZY9kj2OfYq9hr2CfX29eP1z/W89av1mvWL9Xz1bfVc9Uv1OvUq9Rv1DvUC9Pf07PTh9Nf0zfTE9Lv0svSo9J/0lvSQ9Iz0ivSK9In0iPSE9IH0fPR59Hf0dfR09HP0cfRw9G/0b/Rv9HD0cPRu9Gv0Z/Rk9GP0ZPRm9Gr0bvRy9Hj0ffSE9Iz0kvSV9JX0kvSP9I70k/Sd9K30wPTV9Of09fT/9Qb1C/UQ9RX1G/Uj9Sv1MvU49T31QvVJ9VP1YPVt9Xn1f/WA9X31e/V89YX1lPWn9bj1wfXB9br1sPWp9aj1rPWz9bn1vPW69bP1p/WV9X71Y/VG9S71IPUe9Sb1L/Ux9Sb1EfT59Or06vT09Pv06vSx9E3zy/NI8uXyu/LP8xXzcPO/8+vz6/PJ85XzYvM88yTzFfMG8u/yzvKl8nnyT/Iq8grx7/HY8cPxr/Gc8YnxdPFd8UXxKvEN8O/w0fC08JnwgvBv8F/wUvBD8C/wFu/579nvvO+j75HvhO95727vYu9T70TvNO8n7xzvFO8O7wvvCe8J7wnvCO8G7wPu/+777vfu9O7w7uvu5u7g7tvu2O7X7tnu2u7b7tzu3O7d7uHu5+7t7vHu8u7u7uju4+7h7uPu6O7t7vLu9e747v7vCO8X7ynvOu9H703vT+9O70/vUu9Z72HvaO9t73Hvdu9974fvlO+h763vt++/78bvzu/X7+Lv7e/58AbwFPAk8DbwSfBa8GnwdfB/8IrwlvCl8LfwyfDa8Ojw9PD/8QvxGvEp8TnxSPFW8WTxc/GF8ZrxsvHJ8d/x9PIG8hnyLPJB8lbyavJ88ovymPKk8rHyv/LO8t3y6/L58wfzFfMk8zLzQfNO81vzZvNz84DzkPOg87HzwvPR8+Hz8PP/9A70HfQr9Dj0Q/RP9Fn0ZPRv9Hr0g/SN9Jb0n/Sq9LT0vvTG9Mz0z/TQ9NH00/TX9Nz04vTo9O308vT29Pr0/fUB9QT1CPUL9RD1FfUa9SD1JfUq9TD1NfU69T/1RPVK9U/1VfVb9WH1aPVv9Xf1fvWG9Y71lfWd9aP1p/Wp9an1qPWo9an1rPWw9bT1uPW79b71wPXF9cv10/Xc9ef18vYA9hD2IvY29kr2XvZv9n/2j/af9rD2wvbT9uP28fb79wP3CfcP9xT3Gvcf9yT3K/cz9z73TPdc92z3e/eI95L3mvee95/3nPeX95D3iveG94f3jfeX96L3rfe39773xffM99T33vfo9/H3+ff/+AP4BfgG+AX4BPgB9//4APgD+Av4Ffgh+Cv4Mfgx+Cr4HfgL9/j35ffT98T3uve097X3u/fG99b36Pf7+A34Hvgr+DX4PvhG+FD4XPhq+Hf4gviJ+Ir4h/iC+H74ffiA+If4j/iZ+KX4tPjG+N349vkP+SX5N/lF+VH5Xflr+Xz5jfmc+an5svm7+cX50fne+ez59/n++gL6BfoK+hL6Hvos+jv6SfpV+mD6bPp6+on6mPqk+qz6svq4+sL61Pry+xn7R/t2+5/7vfvP+9P7zvvF+737uvu++8b70fva++D75Pvn++z7+PwK/CP8P/xZ/HD8g/yQ/Jz8pvyy/L/8zfzd/O38//0S/Sb9O/1Q/WP9df2F/ZT9ov2v/bz9yf3Y/er9//4Y/jX+Vf51/pT+sP7I/t3+7/8A/xL/JP82/0r/X/9z/4f/mf+p/7j/xv/X/+oAAwAhAEMAZgCJAKsAywDpAQYBIwE/AVsBdgGRAa0BywHrAg0CMgJaAoUCswLlAxoDUAOEA7UD4AQGBCgESQRpBIoEqgTIBOME/AUTBSwFSQVpBYsFrAXLBeYGAAYaBjUGUgZtBoQGkwaaBpkGlwaXBp0GrAbCBtwG+AcTBy0HSQdlB4IHnQeyB78HwQe9B7MHqwenB6sHtgfEB9MH3gfkB+QH4gffB94H4QfnB+8H9wf7B/oH8wfmB9cHyAe+B7sHwAfKB9UH3AfdB9YHyQe6B68HqQerB7AHtge5B7gHtAeuB6kHqAesB7QHvwfNB90H8AgFCBsILwg9CEIIPggzCCQIFggLCAQH/wf4B+8H4wfVB8YHuAetB6QHngeaB5gHmQebB54HoQeiB6IHowemB60HuAfEB88H1gfYB9cH2AffB+sH/ggTCCgIOwhLCFkIZghyCHwIggiGCIkIkAicCK0IwAjQCNwI4wjrCPcJDAkoCUUJWwlmCWUJXwlaCV0JZwlxCXMJZglMCSsJDAj2COkI3QjKCKoIgQhYCDcIHwgEB88HZwbDBe0FCgRJA9kD0gQxBNUFkwY+Br0HCwc1B04HZQeCB58HtgfCB8UHwwfEB8sH2AfnB/IH+Qf8B/8IBAgLCBAIEQgLCAMH/Qf+CAQICggJB/sH3ge4B5IHdwdrB24HeAeDB4YHggd5B28HaQdpB2sHbwdzB3YHegd/B4cHjgeUB5cHlgeSB48HjAeKB4gHhQeAB34HfweGB5EHnQemB6gHoweXB4oHfwd4B3cHegd9B4AHgweFB4cHigeNB48HjweQB5EHlAeYB0sHTQdOB0sHRAc8BzQHLgcqBycHIwccBxQHCgcABvYG7gboBuQG4QbiBuUG6QbuBvIG9Qb4BvwHBAcPBx4HLgc7B0UHSgdMB00HTwdUB1sHZQdxB34HjgeiB7gH0AfnB/4IEgglCDcISghdCHAIhAiYCK4IxAjdCPYJDQkgCS0JNQk6CUAJSglaCW0JggmVCaUJtAnDCdUJ5wn5CggKEAoUChYKGwonCjgKTApeCmoKbgpuCm8KdwqHCp0KtwrMCtsK4wrlCuYK6ArsCvIK+QsCCw8LIQs6C1YLcwuLC5sLogulC6cLrwu8C80L3wvuC/kL/wwFDA0MGAwmDDYMRAxQDFwMagx6DI4MpAy4DMkM1QzeDOYM7Qz2DQANCg0SDRoNIg0rDTYNRA1UDWQNdA2EDZQNow2yDcEN0Q3gDe8N/Q4KDhYOHg4jDiQOIg4gDh4OHw4jDicOLA4wDjMONA42DjgOOg4+DkEOQg5CDkEOPg46DjUOLg4lDhoODQ4ADfMN5w3bDc8NwQ2yDaENkQ2DDXkNdA1zDXUNeA16DXsNeg14DXYNcw1xDW8Nbg1uDW4Nbw1vDW4Naw1kDVsNUA1HDT8NOw06DTsNOw07DToNOA03DTYNNQ0zDS4NJw0eDRYNDw0KDQUM/wz3DOwM4AzVDMsMxAy8DLEMoQyNDHgMZwxcDFoMXwxnDG8MdAx2DHgMfQyFDJAMmwyiDKMMngySDIMMcAxaDEEMJAwGC+kL0Qu/C7MLqwuiC5cLhgt0C2QLXAteC2sLgAuZC7ILxwvXC+IL6QvtC/AL8QvxC+8L6gviC9cLyAu0C50LgwtoC0wLMQsVCvgK2Aq2CpAKagpFCiIKBQnrCdUJvwmpCY8JbwlHCRYI3AiZCFAIAge0B2gHIQbeBqEGaAY0BgQF2QW1BZYFewVlBVAFPAUoBRME/gToBNAEtgSZBHoEWwQ/BCUEDgP4A+IDygOvA5EDcANQAzADEQLzAtQCtQKWAngCWwJBAicCDgHzAdcBuAGYAXUBUAEpAQAA1QCrAIIAWwA4ABb/9//Y/7v/n/+G/27/WP9B/yj/DP7s/sz+q/6M/m3+Tv4v/g396v3G/aX9hv1r/VT9Pv0q/RX9Afzt/Nr8xvyw/Jn8f/xi/EP8I/wC++L7wfug+4D7YftE+yr7E/r7+uP6yfqs+oz6bPpL+iv6Dfnv+dH5tfmZ+X/5ZflK+S75Efjy+NT4uPie+Ib4cPhZ+EH4JvgL9+/31ve/96r3lveC9233Vvc+9yX3Dfb29uH2zfa79qj2lPaA9mv2VvZB9i72HfYN9f/18PXg9c71u/Wn9ZT1gvVy9WP1VfVG9Tf1JvUV9QT09PTk9Nb0yfS99LL0qfSg9Jf0jvSE9Hv0cvRq9GX0YfRf9Fz0WfRV9FH0TfRL9Er0SvRJ9Ef0Q/Q/9Dv0OvQ69Dz0PvQ+9D30OvQ29DP0MfQw9DL0NPQ49D30Q/RK9FL0WfRf9GH0YPRe9Fz0XvRj9G/0fvSQ9KL0svS/9Mj0zvTS9Nf03fTl9O709vT99QL1BvUL9RT1IPUv9Tz1RvVJ9Uf1Q/VC9Uj1VfVn9Xn1hvWN9Y71i/WH9Yb1ifWM9ZD1kfWQ9Y31hfV59WT1SPUm9Qb07vTj9Ob08fT79Pr07PTX9MT0vPTC9M/00vS49Hf0EPOU8x3yx/Kh8q7y4PMe81LzbfNp80/zK/MH8uvy1vLE8rDylfJz8k3yJvIB8eHxxfGs8ZXxfvFm8U3xNfEd8Qbw8PDY8L/wpfCJ8HDwWfBH8DnwLPAd8Arv8O/R77HvlO9772nvW+9P70LvNO8j7xDu/u7u7uLu2O7T7s/uzu7O7s7uzO7J7sTuv+647rLuq+6l7p7ul+6R7o3uje6P7pPul+6b7p/uou6m7q3ute697sLuw+7A7rvuuO647rzuwu7H7sruy+7L7s3u1u7k7vbvCu8b7yfvLu8y7zbvOu8/70XvSu9O71LvVu9d72fvcu9974fvkO+Y76HvrO+478Xv0u/d7+fv8e/88AjwFvAk8DDwPPBH8FTwZPB28IvwnvCv8LzwxvDQ8Nrw5/D18QXxE/Eh8S7xPfFO8WLxefGP8aXxuPHK8dzx7vID8hnyMPJF8lfyaPJ38oXyk/Kh8q/yvPLK8tfy5vL28wbzFfMk8zDzO/NG81LzXvNt83vzi/Oa86nzuPPI89fz5/P29AT0EvQf9Cz0OPRD9E30VvRd9GT0a/R09H30h/SP9JT0l/SZ9Jv0nfSi9Kf0rvS09Lr0vvTC9MX0yvTP9NX02/Tg9OX06fTs9PD09fT59P/1BPUK9Q/1E/UX9Rr1HvUh9Sb1K/Uy9Tr1QvVL9VX1X/Vp9XL1evWA9YX1iPWK9Y31kvWX9Z71pPWr9bD1tPW29bf1t/W19bP1svWz9bf1wfXO9eD19fYL9iL2OfZP9mX2evaO9qD2sPa99sj20vbb9uP26vbw9vf2/vcF9w73GPci9y73OfdF91H3XPdk92n3avdn92H3WvdW91X3Wfdh92v3dfd+94b3jveW96D3qve09773xvfO99X33Pfi9+X35vfl9+H33vfd99/35vfv9/n4AvgH+Ab3//fy9+D3yve095/3jveB93v3efd794D3iPeT96D3rve+98733/fw+AL4Fvgr+ED4VPhk+HD4dvh4+Hj4dvh0+HL4b/ht+G34c/h/+JT4r/jN+Ov5Bvkd+TD5QflT+WX5d/mH+ZP5nPmi+ar5s/m/+cz51/ng+eT55/nq+e/5+PoE+hL6IPot+jv6Svpa+mv6e/qH+o/6lfqa+qT6tfrR+vb7IftK+237hfuQ+5H7i/uE+4H7hfuP+577rfu6+8L7xvvJ+8371vvl+/r8E/wt/EX8Wvxr/Hj8g/yO/Jn8pfyy/MD80fzl/Pz9Ff0v/Ur9ZP17/Y/9oP2u/bn9w/3O/dv97P4B/hr+Nf5R/mz+hf6d/rT+yv7g/vb/DP8h/zX/SP9Z/2j/d/+F/5P/o/+3/87/6wALAC0AUABxAJEArwDNAOsBCQEnAUYBZAGDAaEBwAHhAgMCJwJMAnMCnALHAvYDKANbA44DwAPwBB8ESgRzBJcEtgTOBOEE8wUGBR0FOwVfBYYFrQXSBfMGEAYsBkYGXwZ1BoYGkgaYBpsGngamBrMGxAbYBu0HAgcYBzAHTQduB5EHrwfEB8wHxQe0B54Higd/B38HigecB7IHxwfZB+UH7gfzB/gH/AgCCAcICwgNCAoIAQf1B+YH2QfRB9AH1QfdB+QH5wfkB9sH0AfHB8MHxQfKB9AH0gfOB8YHvQe2B7QHuQfCB84H2gfmB/IIAAgRCCQINghDCEkISAhACDUIKQgdCBIIBAf2B+UH0wfEB7gHrwepB6MHngeZB5cHmQefB6cHrwe1B7gHuge+B8UHzwfbB+UH6gfqB+cH5gfqB/YIBwgcCDEIRAhUCGMIcQh+CIkIjwiRCJEIkwiaCKgIvAjRCOII7wj4CQIJDwkiCTgJTgldCWYJaQlqCW0JcAlwCWkJWglDCSoJFQkICP8I9AjgCMAIlwhsCEYIIwf1B6kHLQZ8BaYEzgQiA8cD0QQ5BN0FlQY5BrIG/wcqB0cHYgeCB6IHvgfRB9sH4gfqB/YIAwgPCBYIGggcCCMILgg7CEUISAhCCDgIMQgxCDoISAhSCFAIPwgjCAIH5wfYB9UH2QfdB9wH0wfGB7kHsQeuB7EHtAe3B7YHtAexB68HrAenB6EHlweMB4EHdgdsB2IHWAdPB0cHQwdFB0sHVAdbB10HWgdUB0wHRgdCB0IHQwdEB0MHQwdEB0cHSwdPB1EHUAdNB0kHRwdIBvcG/AcABv8G+gbxBuYG3QbWBtMG0QbRBtAGzgbLBsgGxgbFBsYGyQbOBtQG2wbiBucG6QbrBu0G8Qb5BwUHEgcfBysHNAc7B0IHSgdUB2AHbQd8B40HoAe1B8wH5Af8CBMIKQg+CFQIaQh/CJQIqAi5CMkI2AjpCPsJDQkfCS4JOglECU4JWQlnCXYJhwmXCaYJswnACc4J3QnsCfgKAwoMChUKHgoqCjYKQQpKCk8KVApaCmUKeAqPCqkKvwrOCtQK0wrQCs0KzgrTCtwK6Ar4CwsLIgs7C1ULawt6C4ILhguHC4wLlwulC7YLxAvNC9EL0gvUC9kL4wvwC/4MCwwXDCUMNgxKDGIMewyRDKMMsQy8DMUMzwzaDOQM7AzzDPgM/g0GDRINIA0vDT4NTA1ZDWYNdA2EDZQNpQ20DcMN0A3dDekN9A39DgMOBg4GDgUOBQ4GDggOCg4LDgwOCw4LDg0OEA4UDhgOGg4aDhgOFA4QDgoOBA38DfIN5Q3XDckNug2tDaANkg2EDXUNZg1aDVENTQ1NDVANVQ1YDVoNWg1YDVcNVQ1VDVUNVQ1WDVcNVw1VDVENSQ0/DTQNKg0iDR4NHg0gDSENIQ0gDR0NGw0bDR0NIA0gDR4NFw0ODQUM/gz5DPQM7wzmDNkMywy9DLAMpgycDI8MfQxoDFMMQww8DEAMSwxaDGgMcAxzDHMMdAx3DH4MhQyKDIoMgwx2DGYMUgw8DCQMCAvrC88LtgukC5gLkAuJC4ALcwtjC1ULTgtQC1wLcAuIC54Lrwu8C8MLyAvKC8sLyQvDC7sLsAukC5cLigt8C2sLVgs9CyMLBwrrCs8KtAqWCnUKUgouCgwJ7QnTCb8JrwmgCZAJewleCTkJCQjPCIsIPgfrB5UHPwbsBqAGXAYhBe4FwwWeBX0FYAVFBSwFFQUBBO8E3QTMBLgEoQSGBGgERwQnBAcD6QPOA7UDnAOFA2wDVAM6Ax4DAALeArsClgJzAlECMwIZAgAB6AHPAbQBlgF1AVIBLQEGAN4AtQCOAGgARgAlAAb/5//I/6r/jP9x/1j/Qf8q/xD+9P7V/rP+kv5y/lP+Nf4W/fX90/2w/Y79cf1X/UH9Lf0b/Qj89fzi/M78uvyk/Iz8cvxV/Df8F/v2+9b7tvuW+3f7Wfs8+yH7Bvrs+tH6tfqY+nr6XPo++iH6BPnm+cn5rPmP+XT5Wvk/+ST5B/jp+Mv4rfiS+Hj4YfhJ+DH4GPf99+L3yPev95j3gvdt91f3Qfcp9xD29/bf9sn2tPah9o/2ffZq9lX2P/Yp9hP2APXw9eH11PXG9bX1o/WO9Xr1Z/VV9Ub1N/Uo9Rn1CPT39Ob01vTG9Lj0q/Sf9JT0ifR/9Hb0a/Rh9Ff0TPRD9Dr0M/Qt9Cf0IvQd9Bn0GPQY9Bn0GfQZ9Bb0EfQL9AX0AvQC9AP0BvQI9An0CPQF9AHz/vP78/nz+fP68/70A/QJ9BH0GPQd9CH0I/Qj9CT0JvQr9DT0QPRO9F70bfR79Ib0jvSU9Jv0ovSr9LT0vPTD9Mb0yPTM9NL03fTr9Pr1B/UN9Q31CvUI9Qr1E/Ui9TP1QvVO9VX1WPVb9V31YPVj9WT1ZPVj9WL1XvVX9Uf1LfUK9OT0w/Sv9Kz0tvTE9M30yvS69KX0lvST9Jz0qPSn9Ir0SPPn83bzDPK+8pjymfK28t7zAPMR8w7y+vLe8sDyo/KI8m3yUfIx8hDx7/HQ8bTxmvGC8WnxT/E08Rjw/fDk8M7wufCk8I/wePBg8EnwNPAj8BTwBe/079/vx++r75Dvdu9g707vPu8u7xzvCO7z7t/uy+667q3uou6b7pbulO6S7pHuj+6L7obugO557nLua+5k7l3uV+5S7k/uT+5S7lfuXe5i7mbuau5v7nfuf+6I7o/uku6T7pPulO6X7pzuou6n7qjupe6h7p7uoe6q7rnuzO7g7vLvAe8N7xfvIO8n7y3vMu827znvPu9F703vVu9e72Tvau9x73nvhe+T76LvsO+878bvzu/W79/v6e/07/7wCvAW8CbwOPBN8GLwdvCG8JPwnPCk8K3wufDH8Nfw5fDz8QDxDvEe8THxRvFb8XDxg/GV8abxuPHL8d/x9PIJ8h3yL/JB8lLyY/Jx8n/yjPKY8qXys/LD8tTy5vL28wXzEvMe8yrzNvND81DzXvNr83nzhvOU86LzsPO+88zz2vPn8/X0A/QQ9Bz0JvQu9DX0PPRD9Er0UfRX9Fv0XfRf9GL0ZvRr9HL0efR/9IP0hfSH9Ir0jvSU9Jv0o/Sr9LL0uPS99ML0x/TN9NP02fTe9OP05/Tq9Oz07fTv9PL09vT69QD1BvUN9RT1HfUn9TL1PfVI9VD1V/Vc9WH1ZvVt9Xb1gPWL9ZX1nfWj9ab1pvWk9aH1nfWZ9Zj1mfWe9af1tPXE9db16fX99hD2IvYz9kP2VPZk9nT2g/aR9p72qfaz9r32x/bS9tz25fbt9vX2/fcF9w/3Gfcj9yv3L/cw9y73K/cp9yn3LPcy9zj3P/dG9033Vfde92j3cvd894b3kPea96T3r/e598H3xvfH98T3wPe897n3uve998L3yPfM9833yffB97T3pPeT94P3dvdr92T3XfdX91D3S/dH90n3T/db92v3ffeQ96T3uffQ9+n4A/ge+Db4Svha+GX4bPhv+G74avhk+F74Xfhh+G34f/iW+K34xPjY+Ov4//kV+S35Rflb+Wz5efmC+Yn5kvmd+an5tvnA+cf5zPnP+dT52/nl+fH5/voL+hn6Kfo5+kv6Xfps+nn6g/qM+pf6qPq/+tr69/sR+yX7MPsz+zH7Lfst+zT7QPtT+2j7ffuO+5z7pvut+7X7v/vM+9778vwI/B78M/xF/FT8Yfxt/Hf8gvyO/Jv8q/y//Nb88f0O/S39TP1p/YL9l/2o/bT9v/3J/dX94/31/gn+Hf4y/kb+Wv5u/oP+mv6z/s3+5/7//xX/KP84/0f/Vv9m/3j/jf+l/8D/3v/+AB4APQBbAHgAlACwAM4A7AEKASoBSwFsAY8BswHYAf4CIwJIAmwCkQK3AuADCwM6A2sDngPRBAQENgRkBIwErwTKBOAE9AUJBSIFQQVlBYwFsgXVBfQGEAYpBkIGWgZwBoIGjwaZBqAGqAazBsEG0gbjBvQHBAcWByoHRAdhB34HmAeoB60HpgeWB4QHdAdrB2wHdQeGB5sHtAfNB+QH+QgICBMIGAgYCBYIEQgNCAgIAgf9B/gH9Af0B/YH+wgACAIIAAf5B/AH6AfkB+UH6QftB+0H5wfcB88HxgfDB8kH1gflB/EH+Af6B/sH/QgDCAwIFwgiCCoILggxCDEIMAgsCCIIEwf9B+UHzwe+B7QHrwesB6gHnweVB4wHiAeMB5YHpQe1B8IHzQfYB+MH7wf7CAMIBggCB/wH9wf4CAAIDwghCDMIQwhRCF8Ibgh9CIoIkwiXCJYIlQiYCKMItgjNCOQI9gkDCQsJEwkcCSoJOQlJCVYJYAlmCWoJawlmCVwJSwk3CSQJFgkNCQYI+wjkCMAIkAhWCBcH0Ad3BwIGagWzBPEERAPQA64D5gRnBRMFwwZYBsQHBwcvB00HbAePB7MH0wfsB/0ICggWCCEIKggtCCwIJwgkCCgIMwhBCEwITghGCDgIKwgmCC0IPAhMCFQITwg+CCYIEAgBB/sH+gf4B/EH5gfXB8sHxAfDB8YHyAfIB8IHuQeuB6QHmweSB4kHfgdxB2QHVgdIBzsHLgciBxcHEAcNBwwHDQcNBwsHCAcFBwMHBAcIBwwHDgcNBwkHAwb/Bv4HAAcCBwMHAQb8BvYG8wbzBqIGqwayBrUGsQaoBpsGjwaGBoIGggaFBokGjgaUBpkGnwamBq4GtwbBBsoG0wbaBt8G4wbmBuoG8Ab5BwUHEwchBy4HOgdGB1EHXQdqB3gHhweXB6gHuwfQB+cH/ggWCC4IRQhcCHMIigihCLYIyQjYCOQI7gj5CQYJFQklCTYJRQlTCWAJbQl6CYgJlgmjCa8JuQnDCcwJ1gnhCewJ+QoGChIKHQonCi4KMwo2CjoKQgpQCmMKewqUCqkKtgq6CrYKrwqqCqoKsAq9Cs4K4Qr2CwsLIQs2C0kLVwthC2YLagtwC3kLhwuWC6MLqwutC6oLpgukC6cLsAu7C8cL1AvjC/MMCAwgDDsMVQxrDH0MiwyXDKMMrwy6DMUMzQzSDNYM3AzlDPENAA0PDRwNJw0xDTwNSg1bDW0Nfw2PDZsNpg2xDb0Nyw3YDeMN6g3tDewN6w3pDekN6g3sDewN7A3sDe0N7g3wDfIN8w3xDe0N6A3jDd4N2g3VDc0Nwg2yDaANjQ16DWkNWw1ODUINOQ0xDS0NKw0sDTANMw03DTkNOg07DTsNPA08DT4NPg0/DT8NPQ06DTMNKg0eDRINCA0BDP4M/w0BDQMNAw0BDP4M/g0ADQQNCQ0MDQoNBQz9DPQM7gzqDOYM4QzXDMgMtgyjDJIMhAx3DGkMWQxHDDUMKAwjDCgMNAxEDFIMXAxgDGAMYQxiDGYMagxsDGgMXwxSDEIMMAweDAoL8wvZC8ALqQuWC4kLgQt5C3ALZAtVC0gLQAtBC0sLXAtuC34LiAuMC4sLhwuCC30LdwtwC2gLXwtYC1ELSQtACzMLIQsJCu4K0gq2Cp0KhApqCk0KLQoLCeoJzQm3CagJngmXCY8JgwlxCVcJNAkHCM4IiQg3B9wHegcYBroGZQYcBd4FrAWABVoFNwUXBPoE4ATKBLkEqgScBI0EegRkBEkEKgQKA+kDyAOpA4wDcgNaA0MDLQMWAvwC3gK8ApgCcgJOAiwCDgHzAdoBwQGmAYoBbAFLASkBBQDgALkAkwBtAEkAKAAJ/+v/zP+t/43/bf9Q/zT/HP8F/u7+1f66/pz+ff5e/j7+Hf38/dn9tv2T/XT9Wf1D/TL9I/0V/Qb89fzh/Mv8s/yZ/H78YfxD/CT8Bfvn+8n7rPuO+3H7U/s1+xf6+frb+rz6nvqA+mP6R/or+hD59PnZ+bz5oPmE+Wj5Tfky+Rb4+fjb+Lz4nviB+Gb4Tfg1+B34BPfq98/3tPea94L3a/dV90D3K/cV9v/25/bP9rf2oPaK9nb2Y/ZQ9jz2J/YS9f316fXY9cn1u/Ws9Zz1ivV29WL1T/U99S31HvUP9P/07vTc9Mr0ufSp9Jr0jfSB9HX0avRf9FT0SvQ/9DT0KfQe9BP0CPP+8/Xz7vPp8+bz5PPk8+Xz5fPj8+Dz3PPX89Lzz/PO887z0PPR89Hz0fPO88vzyPPF88LzwvPC88XzyfPO89Pz1/Pa89zz3/Pi8+fz7fP29AD0DPQY9CX0MvQ+9En0UvRb9GP0bPR19H70hvSL9I30jfSO9JP0nPSp9Ln0xvTQ9NP00vTQ9ND01fTf9Oz0+/UI9RP1HPUk9Sz1M/U59Tv1O/U69Tj1N/Uy9Sf1EfTx9Mv0pvSM9IH0h/SX9Kb0rPSl9JL0fPRt9Gz0dvSA9H70Y/Qo89TzdPMY8tHyp/KZ8qHysvLB8sXyvfKq8o/ycfJR8jHyEvH08dbxuvGh8YrxdfFf8UfxLfEQ8PLw1PC58KDwifB08F/wSvA18CHwDe/77+nv1u/C76vvle9+72rvV+9F7zTvIe8L7vPu2+7D7q/une6O7oLueO5w7mnuZO5f7lzuV+5S7kvuRO497jfuMu4u7inuJe4i7iDuIO4j7ijuLe4y7jXuOO487kHuSe5S7lruYu5n7mvub+507nrugO6E7oTugu597nnuee5+7onume6s7sDu0u7j7vLu/+8J7xDvFe8Z7xzvIe8n7y7vNe8870HvRu9L71LvW+9o73Xvg++Q75zvp++w77vvxe/P79nv4+/v7/3wDfAh8DXwSfBa8GfwcvB88IbwkvCg8K/wvfDL8Nfw5fDz8QTxF/Es8UHxVfFo8XvxjPGe8a/xwPHR8eLx9PIG8hjyKvI78kryWPJk8nHyf/KO8p/ysfLC8tPy4vLw8v/zDfMb8yjzNfNC803zWfNl83HzffOJ85bzovOu87vzyfPW8+Pz7fP38//0B/QO9BX0GvQe9CH0I/Qk9Cf0LPQy9Dr0QfRI9Ez0TvRP9FD0U/RX9F70ZvRv9Hf0f/SH9I70lfSc9KL0qPSu9LP0t/S69Lz0vvTA9ML0xfTI9Mz0z/TT9Nf03vTm9PD0/PUI9RP1HPUi9Sj1LfUz9Tv1RfVQ9Vz1ZvVw9Xj1gPWG9Yz1kfWV9Zb1l/WX9Zj1m/Wh9ar1tPW/9cr11PXg9ez1+/YL9hz2LPY79kj2U/Zf9mv2efaI9pj2p/a09r/2yPbQ9tj24Pbp9vD29Pb19vX29Pb19vf2+/cB9wf3DfcT9xj3H/cn9zD3OvdE9033V/di9273eveG95H3mPeb95v3mPeV95L3kPeP95D3kfeR95D3jfeI93/3dfdq92D3WPdT9073SfdC9zr3MPcp9yX3J/cu9zn3RfdR9133avd59433pvfC99/3/fgY+DD4RPhU+F/4Zvhq+Gv4a/hs+HD4dvh9+IT4iviR+Jr4qfi9+Nj49vkU+S75QvlR+Vz5Z/lz+YH5kPmd+an5sfm3+b75xfnN+df54vnt+fj6BPoS+iP6NfpH+ln6avp7+oz6n/qy+sX61frg+uX65frh+t/64frq+vn7Dvsl+z37Uvtl+3X7hPuS+6D7r/vA+9H75Pv4/Az8Ifw1/Ef8WPxl/HH8e/yF/JH8n/yv/MP82/z2/RL9MP1N/Wj9f/2S/aL9sP29/cr92f3o/fn+Cf4Y/ib+NP5E/lf+bv6I/qP+v/7Y/u//Av8U/yX/N/9L/2L/fP+Z/7b/1P/yABAALgBLAGcAhACgALwA2AD0ARIBMgFUAXsBpAHNAfYCHQJAAmICgwKnAs0C9wMkA1MDgwOyA+IEEQQ/BGsElAS4BNkE9gUSBS8FTQVtBY0FrAXJBeQF/gYYBjQGUAZrBoMGlgakBq4Gtga/BsgG1AbgBu4G/AcKBxsHLgdBB1UHZQdyB3sHgQeFB4kHjgeTB5gHnAegB6YHsAe/B9IH5wf6CAgIDggOCAoIBAgBCAEIBAgICA0IEQgVCBkIGwgdCB4IHQgcCBoIGwgdCCAIIQgdCBEIAQfuB98H2AfcB+gH9wgDCAcIAQf0B+UH2AfRB88H0gfWB90H5QfwB/8IDwgaCB0IFAf/B+QHyQe1B6sHqAeoB6UHmweNB30HcwdxB3sHjQeiB7gHzQfeB+8H/ggKCBMIFQgRCAkIAwgBCAUIEAgeCC0IOghGCFMIYwh2CIkImgilCKkIqwitCLQIwwjXCO0JAQkQCRkJHwklCS0JNwlCCU0JVglbCV4JXAlVCUkJOQklCRIJAQjyCOIIzQiuCIIIRwf9B6QHOga6BiQFegTMBC8DvgORA7QEIQTBBXQGGgaeBvcHLAdNB2cHhQenB8sH6wgECBcIJQgyCDsIPgg8CDMIKAggCCAIKAg0CD0IPAgvCBsIBgf4B/UH/AgHCA4IDQgCB/EH4QfVB84HyQfDB7kHqwecB5AHigeKB4wHjgeLB4QHeAdsB18HVQdMB0IHOAcsBx4HEAcDBvYG6wbhBtkG0gbNBsgGwwa9BrYGsAatBq8Gtga/BsgGzgbNBsYGvQa0Bq0GqgapBqgGpQagBpsGmQabBlIGXwZqBnIGcwZtBmMGWQZQBksGSgZOBlMGWgZiBmwGdwaEBpEGnwarBrYGvwbGBs0G1QbdBucG8gb/Bw4HHgctBzwHSwdZB2cHdQeFB5QHpAe0B8YH2gfvCAcIIAg5CFEIaQiACJYIrAjACNMI4gjvCPoJAwkNCRkJKAk5CUsJXAlsCXsJiQmWCaMJrwm6CcMJygnQCdUJ2wniCewJ9woDCg4KFwodCiAKIgomCi0KOgpMCmIKeQqKCpQKlgqQCokKgwqECowKnQqyCskK4Ar2CwoLHAssCzoLQwtLC1ELVwthC20LfAuIC5ALkguOC4YLfwt8C34LhQuPC5sLqAu4C8sL4gv9DBgMMQxGDFcMZAxxDH8MjQycDKcMsAy2DLsMwgzMDNgM5QzwDPkNAA0HDRENIA0zDUcNWw1qDXUNfg2HDZMNog2yDcANyg3ODc4Nyw3JDcgNyg3MDc4Nzg3NDcwNyw3MDc0NzA3JDcUNvw25DbUNsQ2tDaYNmw2LDXYNYA1LDTgNKQ0fDRgNEw0QDQ8NDw0QDRINFA0WDRcNGQ0bDR0NHw0hDSINIg0hDSANHg0aDRQNCw0ADPUM6gziDN8M3wzhDOMM5QzkDOQM5QzoDO0M8wz3DPYM8gzrDOQM3gzaDNcM0AzFDLMMngyHDHIMYAxSDEYMOgwtDCIMGQwWDBkMIgwtDDcMPgxBDEMMRQxJDE4MUgxTDE4MRAw2DCYMFgwGC/UL4gvNC7cLoguRC4QLegtxC2ULVgtECzMLJwsjCygLNAtBC00LUgtRC0oLPws1CysLJAseCxsLGgsaCxoLGQsUCwgK9grdCsAKogqGCmwKUwo7CiEKBgnqCdIJvgmwCagJogmbCZEJgglvCVgJPQkdCPMIvgh5CCQHwgdZBu8GjAY0BegFqAVyBUMFGQTyBM8EsQSXBIMEcgRjBFQEQgQtBBUD+wPfA8EDpAOHA2oDTwM0AxoDAALlAsgCqQKHAmUCQwIiAgUB6QHPAbUBmQF8AV0BPgEeAP4A3AC6AJYAcgBNACoACP/o/8n/qv+K/2n/R/8o/wv+8f7b/sb+sv6c/oT+aP5K/in+Bf3g/br9lv11/Vj9Qv0x/ST9Gv0P/QP88vze/Mb8q/yO/G/8T/ww/BH79PvY+737ovuH+2v7Tvsv+xD68frR+rH6kvp0+lX6OPob+gD55PnJ+a75k/l3+Vz5QPkj+QX45vjG+Kf4iPhs+FD4N/ge+AX37PfS97j3nveF92z3VPc+9yn3FfcB9uz21va+9qX2jPZ09l32R/Y09iH2DvX79en11vXE9bT1pPWU9YT1cvVf9Uz1OvUp9Rr1DPT+9O/03fTK9Lb0ovSO9H30bfRf9FH0RfQ69C/0JvQc9BL0B/P78+/z4/PX88zzxPO987nztfOy87DzrPOo86TzofOf853znfOc85zzm/OZ85jzlfOT85DzjvOM84zzjPOP85Pzl/Oa85zznPOb85nzmvOe86Xzr/O788nz1fPh8+3z+PQD9A30F/Qg9Cn0MvQ79ET0TPRR9FT0VfRW9Fn0YPRr9Hn0hvSR9Jb0l/SV9JT0l/Sd9Kf0tPTB9M302vTn9PT1APUJ9Q71EPUP9Qz1CfUF9P307fTT9LH0jfRv9F70XPRo9Hn0hfSG9Hr0ZvRR9ET0Q/RN9Ff0VvRB9BPz0fOD8zXy8vLC8qTylfKN8ofyfvJw8lzyQ/Io8gvx7fHQ8bTxm/GE8XDxXPFI8TLxGPD78Nzwu/Cb8H3wYfBJ8DPwIfAQ8ADv7+/d78nvse+Y73/vZ+9T70LvNO8l7xPu/u7l7svusu6b7onueu5u7mTuWe5P7kbuP+447jLuK+4j7hvuEu4K7gTuAO387fnt9+317fTt9e357f/uBe4K7g7uEO4S7hbuG+4j7ivuNO477kDuRO5J7k/uVe5a7l7uYO5h7mLuZO5q7nTuge6Q7qDusO6/7s3u2e7j7uvu8O7z7vbu+e797wTvC+8U7xzvI+8r7zLvOu9D707vWe9k73Dvfe+K75fvpO+v77rvw+/N79jv5u/38ArwHfAu8D7wTPBY8GPwb/B78IjwlfCh8K7wu/DK8Nrw7PD/8RPxKPE98VHxZPF28YbxlfGi8a/xvfHN8d7x8PIC8hPyIvIx8j/yTfJc8mzyffKN8p3yrPK88svy2/Lr8vrzCPMV8yHzLPM480PzT/Nb82fzcvN984jzk/Od86fzsPO588HzyfPR89jz3/Pk8+fz6fPr8+3z8vP49AH0CfQR9Bb0GvQc9B70H/Qi9Cb0LPQz9Dr0QfRJ9FH0WPRf9Gb0bPRz9Hn0f/SE9Ij0i/SO9JH0k/SW9Jj0mvSc9J/0o/Sp9LH0vPTI9NT03vTn9O708/T59P/1B/UP9Rj1IPUq9TT1QPVO9Vz1a/V39YD1hfWH9Yj1ifWL9Y/1lfWb9aH1p/Wu9bf1wfXN9dn15PXt9fP1+fYA9gr2GfYr9kH2V/Zr9n32jPaZ9qT2r/a39r32wPbA9r72vPa99sD2xvbN9tX23fbk9ur28Pb39v33BfcN9xX3H/cq9zb3QvdO91f3Xvdi92T3Zfdm92b3Zvdm92X3ZPdi92D3XfdZ91P3S/dD9zv3NPcw9y33LPcr9yn3Jvck9yT3J/cr9zH3Nvc59zz3PvdE9073Xvdz94z3qPfE99/3+/gV+C74Q/hV+GP4bfhz+Hb4d/h1+HD4avhl+GP4aPh2+I34qvjJ+Ob4/vkR+SH5L/k9+U75X/lx+YD5jfmY+aH5q/m0+b35xvnO+db53vno+fT6BPoW+ir6P/pW+m76hfqb+q36uvrA+r/6uvq2+rX6vPrK+t769fsM+yD7MvtD+1P7ZPt4+4z7ofu2+8r73fvx/Ab8Hfwz/En8XPxs/Hj8gvyL/JT8n/yt/L38z/zl/Pz9Ff0u/Ub9Xf1x/YP9k/2j/bL9w/3T/eT98/4A/g3+Gv4q/jz+U/5s/ob+n/62/sv+3f7v/wL/F/8w/0v/af+H/6X/w//hAAAAHgA+AF0AewCYALIAywDjAP0BGwE/AWkBlgHDAe8CFQI2AlMCcQKRArYC3wMLAzgDYwONA7YD4AQMBDwEbAScBMgE8AUTBTIFTgVpBYQFngW4BdIF7QYKBigGSAZnBoQGmwatBrkGwAbEBskGzwbXBuMG8QcABxAHHwcsBzgHRAdRB2IHeQeVB7QH0AflB+8H7QfiB9MHxgfAB8QHzgfbB+gH7wfzB/QH9gf6CAIIDAgWCB0IIAggCB4IHQgeCCMIKwg2CEIITQhVCFcIUAhACCcICwfxB+EH2wfgB+oH8gfwB+MHywewB5YHggd3B3EHbQdoB2MHYQdmB3QHiQeeB60HrgehB4sHdAdkB2EHagd6B4kHkQeRB4wHiAeJB5MHpQe7B9EH5gf3CAUIEQgZCB4IHAgVCAsIAQf8B/0IBAgRCB8ILgg9CE4IYwh8CJUIrQi/CMkIzgjRCNUI3wjtCP8JEAkfCSkJMAk2CTwJQglICU4JUQlSCVAJSwlCCTYJJgkSCPoI4AjBCJ8IdghFCAkHwAdpBwEGhwX6BV4EvgQtA8ADiwOdA/YEhwU3BecGfgbtBzQHWwdzB4cHoAe/B94H+wgSCCQIMgg9CEUISAhFCDwIMQgpCCcILAg0CDcIMQggCAcH7AfXB8kHxQfFB8MHvQexB6MHlgeMB4UHgAd4B2wHXQdMBz8HNgcyBzEHMActByYHHAcRBwcG/wb3Bu4G5AbYBssGvQaxBqYGnQaVBpAGiwaIBoMGfAZ0BmsGYwZfBmAGZwZyBn0GhAaGBoMGewZyBmoGZAZgBlsGVQZOBkgGRgZJBhIGHgYsBjcGPgY/BjwGNgYxBi0GKwYsBi4GMwY6BkQGUQZgBnAGfwaLBpYGnwanBrAGuwbHBtYG5gb3BwgHGQcqBzsHTQdeB3AHggeUB6YHuAfMB+AH9wgPCCkIRAheCHcIjwimCLoIzQjdCOwI+AkDCQwJFQkgCS4JPglQCWIJdQmGCZUJowmwCbwJxgnQCdcJ3AnfCeEJ5AnoCe4J9Qn9CgMKCAoMCg8KFAobCicKNwpKClsKaApuCm4KaAphCl4KYgpuCoEKmQqyCsgK3QruCv4LDQsaCyYLLws3Cz4LRgtQC10LaQtyC3YLdAtuC2YLYAteC2ELaAtxC3wLiAuXC6kLwAvaC/MMCwweDC4MPQxMDFwMbQx9DIoMlAycDKIMqgy1DMAMywzTDNcM2wzgDOoM+Q0NDSMNNg1EDU4NVQ1dDWgNdw2IDZcNog2nDaYNpA2iDaINpA2nDacNpg2jDaANng2fDaENog2iDZ8NmQ2RDYoNgw18DXMNaA1ZDUcNMw0hDRINBw0ADPwM+gz4DPcM9QzzDPIM8QzxDPEM8wz1DPgM+wz+DP4M/Qz7DPgM9QzxDOwM5QzcDNMMyQzCDL4MvgzADMQMxwzKDMwMzgzRDNYM3AzfDN8M3AzXDNAMygzEDL4MtQyoDJYMgAxqDFUMQww2DCwMJAwdDBYMEQwPDBAMFAwZDB4MIQwjDCYMKgwwDDcMPQw+DDkMLgwfDA0L+wvqC9oLyQu2C6QLkguCC3ULaAtcC0sLNwsgCwkK9grrCuoK8Ar5CwILBwsHCwIK+gryCusK6ArnCukK7ArvCvEK7wroCtsKxwquCpEKdApYCj0KJQoNCfcJ4wnTCccJwAm8CbkJsQmiCYsJbglPCTIJFwj/COUIwQiPCEoH8weOByIGuQZXBgIFuQV7BUUFFgTsBMUEowSFBGsEUwQ+BCgEEgP6A+EDyAOwA5gDgANnA04DMwMXAvkC2QK3ApQCcQJOAi0CDgHzAdoBwQGpAY4BcAFQAS8BDQDtAM0ArgCPAG8ATQArAAj/5v/G/6b/h/9n/0b/JP8D/uT+yf6x/pz+if52/mD+Rv4p/gf94/29/Zn9d/1a/UL9MP0j/Rj9D/0E/Pb85fzQ/Lf8m/x9/F78Pvwf/AL75vvL+7H7l/t8+2D7Q/sk+wX65vrI+qr6jPpu+k/6MPoR+fP51vm5+Z75g/lo+Uz5L/kP+O/4zfit+I34cPhU+Dr4IPgG9+z30ve49573hfdt91T3Pfcl9w72+fbj9s72uPah9on2b/ZW9j72KfYV9gP18vXi9dH1v/Wu9Zz1i/V69Wn1VvVD9TH1IPUQ9QP09/Tr9N30zfS69KX0j/R59GT0UPQ/9C/0IfQU9Anz//P28+3z4/PY88vzvvOw86TzmvOS84zzhvOA83nzcfNq82XzYfNg82HzY/Nk82TzYvNf81zzWfNW81TzUvNS81LzVPNY813zYvNl82bzZPNf81rzWPNZ81/zavN384TzkfOe86nztPO/88nz1PPd8+bz7/P59AP0DPQU9Br0HfQe9CD0JfQt9Dn0RfRQ9Fb0WfRY9Fb0V/Rb9GP0bfR59Ib0lPSj9LL0wfTO9Nf02/Tb9Nj01fTQ9Mn0vfSq9I70bfRO9DX0KfQs9Dj0R/RR9FH0RfQz9CH0FfQU9Br0IvQj9Bbz+PPJ843zTfMQ8tryrvKL8nDyW/JJ8jfyJPIP8ffx3fHC8abxi/Fy8VzxSPE18SDxCfDt8M3wqvCG8GPwQvAn8BHwAe/17+rv3u/O77nvn++D72bvTO817yPvEu8C7vDu2u7D7qvulO6C7nLuZO5X7knuO+4u7iLuGe4S7g3uB+4A7fft7e3j7dvt1e3Q7c3tyu3I7cjtyu3O7dXt3e3k7ert7u3w7fPt+O3+7gTuCu4P7hPuFu4a7iDuJ+4v7jfuPu5F7kvuU+5c7mbucu5+7orule6f7qnus+677sLux+7K7szuze7P7tXu3e7p7vbvBO8R7xzvJe8u7zXvPO9F707vWe9m73Lvf++K75XvoO+q77bvw+/T7+Xv9/AJ8BrwKPA18EDwSvBU8F/wa/B48IbwlfCl8LXwxfDW8Ofw+fEM8SDxNfFI8VnxaPF18YHxjfGa8anxufHK8dzx7fH+8g7yH/Iv8j/yT/Je8mzyefKI8pfyp/K38sfy1fLj8vDy/PMI8xTzIvMv8zvzSPNS81zzZfNs83LzePN984PzifOQ85fznvOk86nzrfOw87PzufO/88jz0PPZ8+Dz5fPq8+3z7/Py8/Xz+fP99AL0BvQL9BD0FvQb9CL0KfQy9Dr0Q/RL9FH0VvRZ9Fz0X/Rh9GP0ZvRo9Gn0bPRv9HX0ffSH9JL0nvSp9LL0uvTB9Mf0zfTT9Nj03vTl9O30+PUF9RT1JPUz9UD1SvVS9Vj1XvVl9W71d/V/9Yf1jvWV9Zz1pPWs9bL1tvW39bX1s/Wz9bj1wvXR9eT1+fYO9iP2NvZJ9lv2bPZ79of2jfaP9o/2jvaO9pH2lvae9qb2r/a29rz2wfbG9sv20PbW9t725/by9v33CfcT9xv3Ifcm9yr3Lvcz9zf3O/c89zv3Ofc39zX3M/cy9y/3Kvcj9xv3E/cO9wz3DPcP9xT3Gfce9yP3J/cs9zD3Mvcy9zH3MPcx9zX3PPdI91b3Z/d695H3qffE9+D3/PgW+Cz4PvhL+FT4Wvhc+Fv4V/hR+E74T/hW+GX4eviS+Kr4v/jR+OD47/j++RD5I/k3+Ur5W/lq+Xf5hPmQ+Zz5pvmw+bj5v/nH+dH53Pnq+fv6D/om+j/6W/p1+oz6nfqm+qj6p/ql+qf6sPq/+tP66Pr8+w37G/so+zj7Svtg+3f7jfui+7T7xfvX++r7//wX/C78RPxW/GX8cfx7/Ib8kvyf/K78wPzS/Ob8+/0R/Sf9O/1O/WD9cP2B/ZL9pP23/cn92/3s/fz+C/4c/i/+RP5a/nH+hv6Z/qv+vP7P/uT+/f8Y/zX/VP9z/5H/r//O/+0ADwAxAFIAcgCOAKcAvADSAOoBCQEvAV0BjwHBAe4CFAIyAksCYwJ/AqACxgLvAxgDPgNiA4UDrAPXBAoEQQR5BK8E3wUHBSgFRQVhBXwFmAW1BdIF7wYLBiYGQgZdBngGkAalBrUGwAbHBswG0QbZBuQG8gcCBxMHIwcxBzwHSAdXB24HjQe0B98IBggjCDIILwggCAoH8wfjB9wH3AfgB+UH6AfqB+wH8Af4CAIIDAgUCBcIFQgRCA0IDQgTCB8IMAhECFYIZAhoCGEITggxCA4H7AfRB8IHvwfCB8UHvwesB40HZwdFBy0HIgciByYHJAcXBwAG5QbNBsAGwAbIBtEG1AbOBsIGuQa7Bs4G8gciB1YHhAenB78H0QfgB/EIBQgaCC0IOwhDCEYIRAg/CDYIKQgZCAcH+AfuB+wH8wgBCBUILQhGCGAIfAiYCLIIxwjWCN8I4gjjCOcI7wj8CQ0JHgksCTYJPQlBCUQJRwlJCUsJSglGCUAJOQkvCSQJFgkDCOkIxgiYCF8IHAfOB3YHFwavBj8FxQVFBMQETgPxA74DwwQDBHsFFwXBBl8G3gc1B2kHhAeTB6EHtQfOB+kIAggXCCcINQhACEkITQhNCEgIQgg8CDoIOwg8CDgILAgXB/0H4QfKB7kHrQekB5oHjQd9B2wHXgdVB08HSgdCBzcHJwcWBwYG+gbxBusG5QbeBtUGywbCBroGtAauBqgGoAaXBowGgAZ0BmgGXgZVBk4GSgZHBkUGQgY+BjYGLgYnBiQGJQYrBjQGPAZCBkQGQwZABjwGOAYzBisGIgYXBg4GCQYKBekF8gX9BgcGDwYUBhUGFAYTBhIGEQYRBhMGFgYdBigGNQZGBlcGZgZ0Bn4GhwaQBpoGpQa0BsQG1QbnBvoHDQcgBzQHSQdeB3QHiQeeB7QHyQfgB/kIEggtCEgIYwh9CJcIrwjFCNkI6gj5CQUJDgkVCRwJJAkuCTwJTAleCXAJggmSCaEJrgm6CcUJzwnXCd0J4gnkCeUJ5gnnCeoJ7QnxCfQJ9wn7CgEKCQoVCiMKMgo/CkYKSApFCj8KOgo7CkMKVAprCoUKnQqxCsAKzArXCuIK7wr9CwsLFgsfCycLLws4C0ILSwtSC1ULVAtQC0sLSAtJC04LVQteC2cLcgt/C48Lowu5C9AL5Qv3DAgMGAwoDDoMSwxbDGkMcwx7DIMMjAyWDKIMrAyzDLgMvAzCDM0M3QzxDQQNFQ0hDSgNLQ0zDT4NTA1bDWkNcw13DXgNdw13DXkNfA1+DX0Neg10DXANbg1vDXQNeA16DXcNcA1lDVkNTg1DDTgNLQ0hDRQNBwz8DPMM7AzoDOUM4QzdDNgM0wzPDMwMygzJDMkMygzNDNAM1AzWDNcM1QzRDM0MyAzDDL8Mugy1DK4MpwyiDJ8MnwyjDKcMrAywDLMMtQy4DLwMwQzEDMUMwwy+DLcMrwymDJwMkgyFDHUMZAxRDEAMMQwmDBwMFQwPDAkMBQwDDAIMBAwHDAkMDAwODBEMFgwdDCMMJwwnDCEMFQwEC/EL3gvMC7oLqguZC4gLdwtnC1cLRws1Cx8LBgrrCtEKvAqtCqYKpgqrCrEKtgq4CrgKtwq2CrcKugq9CsEKwwrBCr0KtAqnCpYKggprClQKPQonChEJ/AnoCdYJyQnCCcAJwgnFCcIJtQmcCXgJTQkiCPwI3gjJCLYInQh4CEAH9AeYBzIGywZpBhIFyAWKBVYFKAT/BNkEtQSUBHQEVgQ4BBsD/QPgA8QDqAOPA3gDYQNMAzUDGwL/At8CuwKVAm0CRgIgAf4B4AHHAbABmQGCAWcBSQEnAQMA3wC8AJsAfABeAEAAIQAC/+H/wf+g/4H/Yf9C/yL/Af7g/sH+pP6K/nP+Xv5J/jP+Gv38/dz9uv2Y/Xn9Xv1J/Tj9Kv0f/RT9B/z5/Of80/y9/KT8iPxs/E78MPwS+/X72fu/+6T7ifts+077LvsO+u76z/qy+pb6e/pf+kL6JPoE+eT5xfmn+Yr5bvlT+Tb5F/j2+NT4sfiQ+HL4Vfg6+CD4Bffq9833sfeW9333ZfdP9zj3IfcJ9vD21/a/9qf2kPZ59mH2SvYy9hv2BfXy9eH10vXC9bP1ovWR9YD1bvVd9Ur1OPUk9RH0//Tv9OH01vTL9L/0svSh9I70evRk9E70OvQm9BT0A/P08+bz2/PQ88bzvPOw86PzlfOH83nzbvNl813zVvNP80bzPfM08yzzJ/Ml8yXzJvMo8yjzKPMm8yTzIfMf8x7zHPMb8xvzHPMf8yTzKfMs8y3zK/Mn8yLzHvMe8yHzKPMy8z3zSfNU81/za/N484Pzj/OY86HzqvO087/zy/PV897z4vPk8+Xz5/Pt8/b0AvQO9Bb0GvQa9Bj0F/QY9B30JvQx9D30S/Ra9Gv0e/SL9Jj0ofSl9KT0ovSd9Jf0jvR/9Gn0TPQr9A3z9vPt8/Dz/fQM9Bf0GPQP8//z7fPf89jz2fPd8+Hz3PPM867zg/NQ8xfy3/Kr8n3yWPI78iTyEPH98efxz/Gy8ZTxdfFY8T/xKfEW8QTw8PDZ8L3wnPB48FPwMPAS7/nv5+/a78/vw++076Hvie9u71LvOO8g7wru9u7i7szutu6h7o3ue+5s7l7uUO4/7i3uGu4J7frt8e3s7ent5u3h7drt0O3G7b3tte2v7avtp+2k7aPto+2m7avtse237b3tw+3I7c7t1O3a7eDt5e3o7ent7O3v7fXt/O4F7g/uF+4f7ibuL+457kbuU+5g7mzud+5/7ofuj+6W7p3uou6m7qfup+6o7qzutO7B7tHu4+707wTvEe8c7yXvLe807zvvQu9J71DvWO9h72vvdu+C74/vnu+u777vz+/g7+/v/vAL8BfwIvAs8DjwRPBT8GPwdfCG8JfwpfCx8L3wyvDY8Onw+/EP8SLxM/FC8VDxXfFr8XnxiPGY8ajxuvHL8d7x8PID8hTyJPIz8kDyTPJZ8mfydfKD8pLyoPKt8rryxvLS8uDy7fL78wjzFfMg8yvzM/M68z/zQ/NG80nzTfNS81jzXfNj82jzbfNx83fzffOE84zzlfOd86TzqvOw87XzuvO/88TzyfPM88/z0fPS89Tz1/Pb8+Dz6PPx8/v0BfQO9Bb0HPQg9CP0JvQp9C30MfQ09Db0OPQ59Dv0P/RF9E70WPRj9G30d/R/9Ib0jPSS9Jj0nvSk9Kr0svS79Mb00/Tf9O30+vUH9RP1IfUu9Tz1SfVU9V/1afVz9X71iPWR9Zf1mvWY9ZX1kPWN9Yz1j/WW9Z71p/Wx9b31y/Xd9fL2CvYh9jb2R/ZT9lr2X/Zj9mj2bfZ09nr2gPaF9or2jvaR9pX2mfae9qX2rva49sP2zvbY9uD25vbs9vL2+Pb/9wX3CfcL9wr3B/cE9wL3AvcE9wX3BfcC9v329/bz9vD28vb29vz3A/cK9xH3Fvcb9x/3Ivcl9yb3KPcq9y33MPc19zr3QvdN91v3bfeD95r3svfJ99337vf9+Ar4F/gi+Cz4M/g3+Dv4P/hG+FD4X/hv+ID4kPid+Kn4tfjD+NP45fj4+Qz5H/kx+UL5U/lj+XP5gvmQ+Z75qvm1+cD5yvnV+eH57vn/+hT6LPpG+l/6c/qC+ov6j/qT+pr6pPq0+sf62vrs+vv7CfsW+yb7OPtM+2D7cft/+4n7kvub+6j7uvvP++j8APwX/Cv8PvxP/F/8cPyC/JT8p/y7/M/84/z4/Qz9Hv0v/T/9Tv1e/W/9gf2W/az9wf3V/ej9+v4M/h7+Mf5E/lb+af57/o3+of63/tD+6/8J/yj/Rv9l/4P/of/A/+EAAwAmAEgAZwCDAJsAsQDHAOEBAwEtAV4BkgHGAfMCGAI0AksCYQJ5ApcCugLgAwUDJgNGA2QDhgOvA+EEGARUBI0EwQTvBRUFOAVaBX0FoQXFBeYGAgYaBi4GQQZTBmgGfgaVBqsGvgbMBtcG3wbnBvEG/QcNBx4HMAdAB08HXgdvB4QHnwfAB+QIBQggCDEINQgxCCcIHAgSCAsIBggBB/sH8gfqB+QH4gflB+sH8gf5B/4IAggGCA4IGggrCD0ITwhdCGMIYAhTCDsIGgf1B9IHtgemB6MHqQexB7IHpQeHB10HMwcVBwoHFgcwB0sHWgdSBzEG/gbEBpEGawZVBkgGQQY6BjUGNwZIBmwGpAbrBzYHfAe1B+EIAQgbCDQITghnCHsIiAiKCIMIcwheCEYILggXCAMH9QfuB+8H+wgOCCkIRwhoCIkIpwjACNII2wjdCNoI1QjTCNcI5Aj4CQ8JJgk3CUEJRglGCUQJQwlDCUIJPwk6CTIJKAkeCRIJBQj1CNwItwiACDcH2gdsBvMGcwX0BXsFCgSnBFcEHgQGBBUETwSzBTYFyQZbBtkHOAd2B5YHpAeqB7IHvwfSB+cH+ggLCBkIJAgtCDUIOwg9CD4IPAg6CDcINAgtCCEIDgf2B90HxAexB6IHlgeLB3wHawdWB0IHMgcmBx4HGQcSBwkG/QbvBuEG1AbKBsAGtQaqBp4GkQaGBn0GdgZyBm4GagZlBl8GVwZMBj8GMQYjBhkGEgYQBhEGFAYUBhEGCwYBBfgF8gXxBfQF+gYCBgkGDwYTBhUGFQYRBgsGAgX3Be0F5wXlBdcF2wXhBeYF6wXuBfAF8QXzBfUF9wX6Bf4GBAYNBhkGKQY6BkwGXAZrBncGgQaLBpUGogaxBsEG0wbnBvsHEAcnBz8HVgduB4UHmweyB8kH4Qf6CBQILwhJCGMIfAiVCK0IxAjbCPEJAwkRCRsJIgkmCSoJMAk5CUUJVAlkCXUJhQmTCaAJqwm1Cb8JyAnQCdYJ2wnfCeEJ4gnjCeQJ5QnmCegJ6wnwCfgKAgoOChkKIQokCiMKHQoXChQKFwolCjoKVQpyCooKmwqlCqkKrAqyCrsKygrbCu0K+wsGCw8LFgseCycLLws1CzkLOAs2CzMLMgs1CzoLQwtMC1YLYAtsC3sLjAueC7ELxAvWC+YL9gwHDBgMKAw3DEMMTQxVDF0MZwxyDH4MigyTDJsMowysDLoMygzdDO4M+w0DDQgNDA0SDRsNJg0zDT0NRA1HDUkNSg1MDVENVQ1XDVcNUg1NDUkNRw1JDU0NUQ1RDUsNQQ00DSYNGQ0ODQUM/AzzDOoM4gzaDNMMzgzJDMMMvQy2DK8MqgymDKMMogyiDKIMowymDKkMrQywDLEMrwysDKYMoAybDJgMlQySDI8MjAyJDIgMiAyLDI8MkwyXDJkMmwydDKEMpgyqDK0MrAyoDKAMlgyKDH4McgxmDFoMTgxBDDMMJgwaDA8MBQv8C/UL8AvuC+4L8Qv1C/oL/wwCDAUMCAwLDA0MDQwJDAEL9QvlC9MLwAuvC54Ljgt/C3ALXwtNCzoLJQsNCvMK2Qq/CqgKlQqICoEKfQp8CnwKewp6CnkKegp+CoMKiQqOCpAKjQqFCngKZgpSCj8KLAocCg4KAgn2CegJ2QnKCbwJsgmtCa4JsQm0Ca8JoAmECV4JMAkCCNkIuAifCIgIbQhICBIHywd2BxgGuAZdBg0FyAWQBWEFOAUTBPAEzASpBIUEYgRABB4D/APcA7wDnAN+A2IDSAMvAxcC/gLiAsICngJ3Ak4CJAH7AdcBtwGcAYUBcQFcAUQBKAEHAOIAvACVAHAATwAwABP/9//a/7v/nP97/1r/OP8X/vf+1v63/pn+ff5k/k7+OP4j/g398/3W/bj9mP17/WL9Tv0//TP9Kv0g/RP9BPzx/Nz8xfys/JP8ePxc/D/8IPwC++T7x/ur+5D7c/tV+zX7E/rx+s/6r/qS+nb6XPpD+in6Dfnv+c/5r/mP+XH5U/k2+Rn4+fjZ+Lb4lPhz+FT4N/gb+AD35PfH96n3jPdw91j3Qfct9xj3A/br9tL2t/ad9oT2a/ZU9jz2JPYN9fb14PXN9bv1rPWd9Y71fvVt9Vz1S/U69Sj1FvUD9PD03fTM9Lz0rvSi9Jf0i/R89Gz0W/RI9DX0IvQP8/zz6fPX88fzuPOq85/zk/OI83vzbfNe80/zQvM48y/zKfMi8xvzEvMJ8wDy+fL08vLy8vLy8vLy8vLx8vDy7/Lu8u3y7fLs8uvy7PLu8vHy9fL48vny+fL28vLy7/Lu8u/y8/L58wDzCfMT8x/zK/M480TzTvNX81/zZ/Nw83zzifOU853zofOi86HzofOm87DzvvPN89nz3/Pg893z2fPW89fz3fPn8/P0AvQS9CP0NvRJ9Fv0afRy9Hb0dfRy9G30ZfRY9Eb0LfQO8+3z0fO987bzuvPI89fz4vPk89zzy/O286TzmPOT85TzmPOY85Dze/Na8y3y+fLC8o3yX/I48hryAvHt8dfxvfGf8X7xW/E68R3xBPDx8OHw0vDB8Kzwk/B28FXwMvAQ7/Dv0u+476HvjO9372PvUO887yrvF+8F7vHu2+7D7qruku577mjuWO5L7j/uMu4i7g/t/O3p7drt0O3L7cjtxe3B7bvts+2r7aTtnu2Z7Zbtk+2Q7YztiO2F7YPtgu2D7YXtiu2S7Zztp+2y7bvtwu3F7cftye3M7dLt2e3h7ejt7e3w7fTt+u4E7hHuIu407kXuVO5f7mjucO537n7ug+6H7onuiu6L7o7ulO6e7qvuu+7N7t7u7+7/7w3vGu8l7y7vNO837zrvPO9A70bvT+9b72jvde+C747vm++p77fvx+/W7+bv9PAD8BHwIfAy8ETwV/Bp8HnwhvCQ8JjwoPCq8LbwxfDX8Onw+/EN8R7xL/E/8U7xXfFr8XrxifGa8avxvvHR8eTx9vIF8hPyIPIr8jfyQ/JQ8lzyaPJ08oDyjPKZ8qbys/LA8szy2PLi8uzy9fL88wLzCPMM8xDzFPMZ8x3zIfMm8yrzLvMz8znzQPNI81DzV/Ne82TzavNw83bzfvOG847zlPOZ85zznfOe857zoPOi86bzrPOz87zzxfPN89Xz2/Pf8+Tz6PPt8/Pz+fP+9AH0A/QD9AP0BPQG9Ar0EfQZ9CH0KvQy9Dr0QfRJ9FD0WPRf9Gb0bvR29H/0ivSX9KX0tfTF9Nb05vT09QH1DPUW9SH1LfU69Ur1WvVo9XT1fPWB9YL1gvWC9YH1gfV/9Xv1dfVw9Wz1bfV19YT1mfWx9cr14fX29gj2GPYl9jL2PPZF9kv2UPZU9lf2W/Ze9mH2ZfZp9m72dfZ+9oj2k/ad9qb2rva19rz2w/bK9tD21PbV9tP20PbM9sv2zPbP9tT22Pba9tr22PbX9tf22fbd9uL26Pbu9vP2+Pb99wL3B/cM9xH3FfcZ9xz3Hvch9yX3K/c090H3Uvdk93j3ifeZ96X3r/e598P3z/fc9+r39/gD+A34F/gi+DD4P/hP+F/4bvh6+IT4jfiX+KT4s/jE+Nf46vj9+RD5Ivk0+Uf5Wfls+X75kPmi+bL5v/nK+dT53fnn+fT6BfoY+iz6P/pP+lz6Zvpw+nv6ivqc+rD6xPrX+uf69/sG+xb7KPs5+0f7UvtX+1n7Wftb+2P7cPuE+577ufvV+/H8Cvwj/Dr8UPxl/Hn8jfyh/LX8yvze/PH9A/0T/SH9Lv08/U39YP11/Yz9o/25/c794f3y/gP+FP4m/jj+S/5f/nX+jf6n/sP+4f7//x7/PP9a/3f/lv+2/9f/+QAcAD0AXAB5AJMArQDIAOcBCwE1AWUBlgHGAfACEwIwAkgCYAJ7ApwCwALmAwoDKwNHA2IDfgOgA8oD+wQxBGgEnQTOBPsFJgVRBX0FqQXTBfgGFgYtBj4GTAZZBmoGfQaTBqsGwAbSBuAG6gbyBvkHAwcQByEHMwdGB1kHawd8B40HngevB8EH0gfhB+0H9gf8CAEIAwgCB/8H9wfrB90HzgfCB7sHuge/B8kH1QfkB/UICggjCD8IXQh4CIwIlAiPCHwIXgg5CBAH6AfGB60HogemB7YHzQfhB+gH3gfBB5kHdAdfB2UHiAe+B/kIJQg0CCIH8QewB2wHMQcFBugG1AbGBr0GuwbFBt4HBQc2B2gHkwexB8QH0AfcB+8ICggrCEsIZAhwCG0IXAhECCoIFQgHCAMIBwgSCCEIMwhHCF4IdwiSCKwIxAjXCOAI4AjWCMgIuwi1CLoIzAjnCQYJJAk6CUYJSQlHCUIJPgk9CTwJOgk1CSwJHwkQCQAI8QjgCMoIpwhxCCMHuwc6BqoGEwWDBQUEoQRfBEAERARrBLAFDwWBBfwGdQbgBzYHcgeUB6MHpgelB6cHrge5B8YH0wfeB+YH7AfxB/UH+Qf9CAAIAwgECAIH/AfxB+AHyQewB5cHggdzB2cHXgdTB0UHMwceBwgG9gboBt4G1wbQBskGwQa4BrAGqAagBpgGjgaCBnQGZgZYBkwGQwY9BjkGNwY1BjMGLQYkBhcGBwX3BeoF4QXfBeIF6AXsBe0F6QXfBdQFygXFBcQFxwXOBdYF3QXjBecF6QXpBecF4wXeBdkF1gXVBc0F0AXSBdQF1QXWBdcF2QXdBeEF5gXsBfIF+wYFBhIGIgYzBkQGVQZlBnMGgQaOBp0GrAa9Bs8G4wb4Bw8HJwc/B1gHcQeIB58HtQfLB+MH/AgWCDIITAhmCH0IlAiqCMEI2AjvCQUJGAkmCS8JNQk3CTkJPglFCU8JXQlrCXkJhQmQCZkJoQmpCbEJuQnBCckJ0AnVCdoJ3QnfCeAJ4QniCeQJ6AnuCfUJ/AoCCgUKBAn/CfkJ8wnxCfcKBwoeCjwKWQpyCoMKigqJCoYKhAqJCpQKpwq8CtEK4wrxCvsLAwsKCxILGQsfCyELIAsdCxoLGQsbCyILKgs1C0ALTAtYC2ULdAuDC5QLpAuzC8IL0QvhC/EMAQwPDBwMJwwxDDsMRgxRDF0MaAxzDH4MigyXDKcMuAzIDNcM4QzoDOwM8Qz3DQANCg0UDRsNIA0hDSINIw0nDSsNMA0yDTINLw0sDSkNKQ0qDSsNKQ0kDRoNDQz/DPMM6gzkDOAM3AzWDM4Mxgy9DLUMrQymDJ0MlQyNDIcMgwyBDIAMgAyBDIAMgAyADIEMhAyHDIoMigyIDIQMgAx8DHkMeAx4DHcMdwx2DHUMdQx3DHkMfAx+DIAMggyFDIkMjwyWDJsMnAyZDJEMhQx4DGoMXgxUDEoMQAw1DCkMHAwODAEL9AvqC+IL3AvaC9wL4AvmC+0L8wv3C/gL9wv0C/AL6wvkC9oLzwvAC7ALnwuOC34LcAtjC1YLRws3CyMLDAryCtgKvgqoCpcKiwqDCn0KeQpyCmsKYQpYClEKTQpOClIKVwpaCloKUwpGCjMKHQoGCfIJ4QnVCc0JyQnECb4JtAmpCZwJkgmKCYYJhAmCCX0JcAlaCTwJGAjxCMwIqAiHCGQIPQgOB9QHjgdABu0GmQZKBgMFxgWSBWYFPwUbBPcE0gSsBIYEYAQ8BBoD+APXA7YDlANxA08DLwMPAvIC1QK4ApgCdgJPAiYB+wHQAakBhwFqAVMBQAEuARsBBADnAMUAoAB5AFMAMAAR//X/2//A/6P/g/9f/zr/FP7u/sr+qP6I/mv+Uv48/ij+Fv4D/e/91/27/Z39f/1j/Uz9O/0v/Sf9H/0W/Qn8+Pzj/Mz8s/yZ/H/8Y/xG/Cf8B/vm+8b7p/uK+277Ufs1+xb69vrV+rP6kvpy+lX6O/oi+gj57vnS+bP5k/ly+VL5MvkU+Pb41/i3+Jb4dPhS+DL4FPf299r3vveh94T3aPdO9zX3H/cL9vb24fbK9rH2l/Z99mT2TPY09hv2AvXo9c/1t/Wh9Y71fvVv9WD1UPU/9S31G/UK9Pn06fTY9Mj0tvSm9Jb0h/R59Gz0XvRQ9EH0MfQg9A/z/vPt89vzyfO286PzkvOD83bzavNe81HzRPM18ybzGPMM8wPy/PL28u/y5/Le8tXyzvLI8sTyw/LC8sLywfLA8r7yvPK78rvyu/K88r7ywPLC8sXyyPLK8sryyfLH8sTywfLA8r/ywfLF8sry0vLb8uby8vL98wfzDvMU8xnzIPMo8zTzQfNN81bzWvNZ81fzVvNa82bzdvOI85nzo/Ol86HzmvOU85HzlPOc86jzt/PI89vz8PQF9Br0LfQ79EP0RfRD9D70N/Qs9B30CPPu89Hzs/Oa84rzhvOL85jzpfOt863zpPOU83/zbfNf81fzVPNT81DzRfMx8xLy6fK78ozyYPI68hvyAvHs8dXxvPGd8XvxVvEy8RDw9PDe8Mzwv/Cz8KbwlvCC8GnwSvAl7/vvzu+g73TvTO8q7xDu/e7x7uru5O7d7tLuwe6r7pDudO5a7kPuMO4i7hbuC+3/7fLt4+3U7cftu+2y7arto+2d7Zbtke2M7YntiO2H7Yfthe2C7X3tdu1t7WPtWu1T7U/tUe1Z7Wbtdu2H7Zbtoe2n7artre2w7bXtu+3B7cXtx+3H7cbtye3R7d/t8u4I7h3uMO4+7knuUe5Y7l7uZO5p7m3ucO5y7nXuee5/7ojuku6f7q3uvu7Q7uTu+O8K7xnvI+8p7yzvLe8v7zPvOu9C70vvU+9b72Lvae9z74Dvj++h77Tvxu/X7+jv+fAL8B3wMfBD8FTwYvBt8HfwgPCJ8JPwn/Cu8L3wzvDg8PLxBfEX8SfxNvFE8VHxXfFr8XnxivGc8a/xwfHR8eDx7fH58gTyD/IZ8iTyL/I68kfyVPJh8m7ye/KH8pLym/Kj8qrysfK48r/yxvLN8tTy2/Lh8ufy7PLw8vTy9/L88wHzB/MO8xXzG/Mh8yXzKvMw8zfzP/NI81HzWfNe82LzZPNl82fzafNr82/zc/N4837zhPOK85DzlvOc86LzqPOu87Xzu/PC88fzyvPL88zzy/PL883z0PPV89zz4/Pr8/Pz+/QC9Ar0EvQa9CL0K/Q29EH0T/Rf9HD0g/SV9KX0s/S+9MX0zPTS9Nv05/T39Qr1H/Uy9UP1UPVb9WP1avVw9XT1dvVz9Wz1YPVS9UP1OfU09TX1PfVJ9Vn1a/V/9ZX1rfXF9dz18fYC9g/2GPYg9iX2K/Yw9jX2OfY89j72QvZH9k/2WfZk9m72ePaB9oj2kPaW9pz2n/ah9qD2nvac9pv2nPaf9qT2qvau9rL2tPa29rj2vPbA9sT2yfbN9tH21fba9t/25Pbq9u728/b29vr2/vcD9wv3Fvcl9zf3S/dg93L3gveO95X3mvee96L3p/eu97b3v/fJ99P33/fu+AH4Ffgq+D/4UPhe+Gn4c/h8+Ib4lPik+LX4yPjb+Oz4/fkO+R35LvlA+VP5Z/l8+ZD5ovmx+b35x/nP+dn54/nw+f/6Dfoc+in6NvpE+lX6aPp8+pL6p/q6+sv62/rq+vv7C/sb+yj7Mfs2+zf7OPs6+0L7T/tj+337mfu3+9T78fwM/CX8O/xQ/GP8dfyG/Jn8rPzA/NP85fz1/QP9Ef0f/S/9Qv1Y/W/9h/2d/bL9xf3X/en9+/4O/iL+N/5N/mX+f/6b/rf+1P7x/w7/Kv9H/2b/hv+n/8j/6gAMACwASwBpAIcApgDGAOgBDgE2AWEBjAG1AdwB/gIdAjoCWQJ7AqECygLzAxoDPQNaA3MDiwOlA8UD6wQXBEcEeASpBNoFCQU5BWgFlwXDBewGEAYuBkgGXQZwBoIGlAalBrYGxQbSBt0G5QbtBvYHAAcNBx0HLwdDB1cHaQd4B4IHhgeGB4MHfgd6B3cHdwd5B3sHfAd5B3MHagdhB1sHXQdnB3sHlge0B9IH7wgMCCkISwhwCJgIvgjaCOcI4gjKCKMIcwhCCBUH8AfXB8sHzQfdB/cIFggxCEEIPggqCAwH8AflB/YIJghuCMAJCQk5CUkJOgkUCOUIuQiWCH0IawhbCEoIOQgqCB8IFwgPCAAH5wfCB5YHawdOB0cHWQd+B60H2gf6CAgIBgf5B+0H6gf0CAwILAhPCGwIgAiKCI4IkQiWCKAIrwi/CMoIzgjJCL4IsgirCK4IvQjXCPUJEwkpCTYJOQk3CTEJLgktCS0JLgkqCSEJEgj+COkI1AjACKkIighcCBcHuAdABrYGJQWcBSoE2QSxBLIE2AUbBXEF0AYvBocG0wcOBzkHUwdiB2cHaAdpB2wHcgd5B4EHiAeNB5EHkgeTB5QHlgeYB5wHnweiB6EHnAeQB34HaAdQBzkHJQcXBwwHAwb6Bu4G4AbPBr8GsAakBpsGkwaLBoMGfAZ1BnAGbAZpBmQGXwZXBkwGQAYzBicGHAYUBg4GCgYHBgQF/wX4BewF3gXPBcIFuQW2BbgFvAXBBcIFwAW6BbIFqwWnBaYFqQWtBbEFtQW3BbkFugW7Bb0FvwXCBcQFxwXJBbkFvgXBBcQFxgXIBckFzQXRBdYF3QXkBesF9AX9BgkGFgYlBjYGRwZZBmwGfwaSBqUGuQbNBuIG9wcNByQHOwdTB2sHgweZB68HxQfcB/YIEQgtCEoIZQh+CJUIqwjBCNcI7gkFCRoJLAk4CUAJRAlGCUkJTQlTCVwJZglwCXkJgQmICY0JkwmaCaEJqQmxCbgJwAnGCcwJ0QnUCdgJ2wneCeIJ5wnsCe8J8AnuCekJ4gnaCdUJ1QndCe0KBAogCjsKUgphCmcKZQpfClkKWQphCnEKhwqfCrYKygrYCuQK7Ar0CvsLAAsDCwMLAQr+CvsK+wr/CwULDwsaCyULMAs7C0YLUgtfC20LeguHC5QLoguwC8AL0AvhC/EMAAwODBwMKAw0DD4MSAxTDF4MbAx7DI0MngyuDLsMxAzKDM8M1QzdDOcM8gz7DQINBQ0HDQcNCA0KDQwNDQ0NDQwNCg0IDQcNCA0IDQYM/wzzDOUM1gzJDMEMvgy/DMAMwAy8DLUMrAyhDJgMjwyGDH4MdwxwDGoMZwxlDGUMZAxiDGAMXQxaDFoMXAxfDGMMZgxnDGUMYwxhDF8MXwxgDGAMYAxfDF4MXgxfDGEMZAxnDGoMbQxxDHcMfgyGDIwMjwyMDIQMeQxrDF4MUgxIDD8MNQwrDB4MEAwCC/UL6gvgC9kL1AvSC9EL0wvXC9sL3wvgC98L2gvUC8sLwwu5C68LpAuXC4cLdQtjC1MLRQs7CzILKgsfCxAK/ArkCsoKsgqeCpAKhgqBCnwKdgptCmEKUgpCCjYKLQooCigKKQoqCigKIAoTCgAJ6gnTCb4JrAmfCZcJkgmPCYsJhAl7CW8JYglWCUwJRAk+CTYJLAkfCQwI9QjYCLgIkwhrCD4IDAfWB5oHWgcXBtEGjAZJBgoF0AWcBW0FQQUYBO8ExQScBHMETAQoBAYD5gPGA6UDgwNeAzgDEgLsAsgCpgKEAmICPgIXAe0BwwGYAW8BTAEuARYBBAD0AOUA0wC8AKAAgABdADsAG//+/+T/zP+y/5X/c/9O/yT++f7P/qb+gP5d/j/+Jf4P/fz97P3c/cn9s/2a/X39YP1F/TD9H/0U/Q39Bfz8/O783PzH/K78lPx5/F38QPwh/AD73fu6+5n7eftb+0D7JvsN+vL61/q5+pr6evpZ+jr6HfoB+eX5yvmt+Y75bflL+Sn5CPjo+Mn4qviL+Gv4S/gq+An36vfM97D3lfd792D3Rvct9xX2/fbm9s/2t/af9oX2bPZT9jz2JPYM9fP12fW99aH1hvVv9Vr1SfU59Sn1GPUG9PL03/TN9Lz0rfSf9JH0gvR09GX0V/RJ9Dv0LfQf9A/z//Pu893zzfO986zzm/OJ83fzZvNV80bzOfMt8yDzE/MF8vfy6fLe8tTyy/LE8rvys/Kp8qDymPKS8o/yj/KP8o/yjvKL8ofyhPKC8oHygvKE8ojyi/KP8pLylPKV8pXylPKS8pDyjfKL8oryivKM8pHymPKh8qvytvK/8sbyy/LN8tDy1PLc8ujy9fMD8wzzEfMQ8w7zDfMQ8xvzK/M/81HzXvNj82HzW/NT807zTfNS81zzafN6843zovO4887z4/P09AD0BvQH9ATz/fP08+jz2PPE86zzkvN682bzWvNW81vzY/Ns83HzcPNp81zzTPM98y/zJPMb8xLzBvL18t7ywfKg8n3yXPI+8iTyDvH58eTxzPGv8Y/xa/FH8SXxBfDq8NTww/C18KrwnvCR8H/wZvBD8BXv4O+k72jvLu7+7tjuv+6x7qzuq+6s7qnuoe6R7nzuY+5I7i7uF+4D7fTt6O3e7dTtyu2/7bPtpe2X7Yntfe107W3tau1q7Wvtbu1w7XHtcO1u7WrtZO1b7VDtRO057THtLu0y7T3tTe1f7XDtfe2G7Yvtj+2T7Zntn+2l7antq+2q7antqu2w7bztze3h7fXuB+4V7iDuKO4v7jbuPe5E7kvuUe5W7lvuYO5l7mrub+527oDujO6d7rHux+7d7vHvAu8O7xfvHe8k7yvvMu8670DvRe9I70vvT+9V72Dvbu9+747vn++u773vzO/c7+3v//AS8CTwNfBF8FPwYPBt8HnwhfCR8J7wrPC78Mzw3fDv8P/xDvEb8SXxMPE78UjxV/Fn8XnxivGb8arxt/HD8c/x2fHj8e7x+fIE8hHyH/It8jvySPJU8l3yZfJr8nDydfJ68oDyh/KP8pfyofKq8rLyufK/8sTyyPLM8tDy1fLa8t/y4/Ln8ury7fLy8vjzAPMI8xDzFvMb8x7zIPMj8ybzK/Mw8zXzOfM980HzRfNK81DzV/Ne82bzbPNz83nzf/OE84rzj/OT85bzl/OX85fzmfOd86LzqfOy87rzwvPJ89Dz1vPd8+Xz7/P79An0GvQs9D/0UvRj9HH0e/SD9If0jPSS9Jv0qPS59M304fTz9QP1EfUc9Sf1MvU99Uf1TvVR9U/1R/U89S/1IvUX9Q/1CPUE9QT1B/UQ9SD1N/VS9W/1i/Wl9br1y/XZ9eb18vX+9gf2DvYS9hT2FfYX9hz2JPYu9jn2RPZN9lb2XfZj9mj2bPZv9nH2cvZy9nP2dPZ39nz2gfaG9ov2j/aT9pb2mvae9qH2pfap9q32sPa09rn2vfbB9sX2yvbP9tT23Pbn9vT3BPcY9y33QvdY92v3e/eI95H3l/eb9573oPeh96P3pfep96/3uvfJ99z38vgK+CD4M/hD+FD4Wvhl+HL4gfiS+KT4tvjH+Nf45Pjw+Pr5BvkT+SL5M/lH+Vv5b/mC+ZL5ofmt+bn5xvnS+d/57Pn6+gf6Ffol+jf6Svpf+nL6hfqV+qT6svrA+s/64Prx+wD7DvsZ+yL7Kvs0+0H7Uftl+3v7lPut+8b73/v2/Az8Ifwz/ET8VPxl/Hf8i/yf/LP8xvzX/Of89v0G/Rj9LP1D/Vr9cP2G/Zr9rv3C/dX96v3//hX+LP5D/lr+c/6N/qf+wv7d/vj/FP8x/1H/cv+V/7f/2f/5ABgANgBTAHEAkQCyANYA+wEhAUgBbwGWAbwB4gIGAisCUAJ2Ap8CyQLzAxwDQANgA3sDlAOtA8cD5gQJBDEEXASIBLUE4QUNBTcFYgWNBbkF5AYPBjcGXAZ8BpUGqQa1Br4GxAbJBtAG2gbmBvQHAwcSByIHMQdAB0sHVAdXB1IHRwc0BxwHAgbqBtYGxwa8BrIGqQagBpgGlQadBrQG3gcZB2AHqwfyCC8IXwiDCKAIvAjZCPYJEAkiCSQJFgj3CM4IoAh1CFAINAgiCBcIFggcCCsIPghRCF4IYAhVCEMIMgguCEIIcQi6CRAJZgmuCd0J9An2Ce4J5AndCdoJ1gnNCb0JpAmFCWEJNwkECMQIdQgYB7UHWAcQBugG5QcDBzUHbQecB7kHxAfFB8YH0gfuCBgISgh3CJcIogiaCIYIbgheCFoIZgh7CJUIqgi3CLoItwiyCLIIuQjICNwI8AkACQkJCwkHCQII/gj9CP4I/wj+CPcI6wjYCMIIqgiTCHoIXgg5CAUHwAdoBwEGlQYuBdkFoAWHBY4FsQXlBiEGWQaJBqwGwwbRBtkG3wbmBu8G+QcGBxIHHQcnBy4HNAc5BzwHPgc+Bz4HPQc8BzsHOgc4BzQHLAcgBw8G+wblBtEGvwaxBqUGnQaVBo0GhQZ+BngGcwZuBmkGYgZaBlEGRwY9BjYGMQYtBioGJgYiBhwGFAYLBgIF+QXxBeoF5AXgBdwF2AXTBcsFwQW1BaoFoAWZBZUFlAWUBZQFkwWSBZEFkQWTBZUFmAWaBZsFmgWYBZcFlgWXBZkFngWjBagFrgW0BZkFnwWlBaoFrwWzBbcFvAXCBckF0AXYBeEF6QXyBf0GCQYXBikGPAZSBmkGgQaYBrAGxgbcBvIHBwcdBzMHSgdgB3cHjQeiB7cHzgfnCAEIHQg6CFYIcgiMCKQIvAjVCO0JBQkbCS4JPQlGCUwJTwlRCVQJWAldCWIJZwlrCW8Jcgl2CXsJgQmJCZEJmQmgCaYJqwmwCbYJuwnBCccJzgnVCdsJ4AniCeEJ3AnUCcoJwQm8Cb0JxQnWCewKBAobCi4KOQo7CjgKMQosCioKLwo8Ck8KZgp9CpMKpQq0Cr8KyArPCtUK2AraCtkK2QrYCtkK3QrkCu0K9gr/CwgLDwsXCx8LJwsxCzwLRwtTC14Lawt4C4cLmQusC78L0wvmC/cMBQwQDBoMIwwtDDoMSQxbDG4MgAyQDJwMpQyrDLAMtwzADMsM1gzhDOkM7gzxDPMM9Az0DPMM8QzuDOoM5wzlDOUM5gzlDOEM1wzJDLgMqAycDJYMlgyZDJwMnQyaDJMMigyBDHkMcgxsDGYMYAxbDFYMUQxODEwMSQxGDEEMPQw7DDoMPQxBDEYMSgxMDE0MTQxMDEsMSwxLDEoMSQxHDEUMRQxHDEoMTwxTDFgMXAxhDGcMbwx2DHsMfQx6DHIMZwxaDE4MQww6DDIMKAwdDBEMBAv3C+wL5AvdC9cL0gvMC8cLwgu/C70LvAu6C7cLsQupC6ALlwuNC4MLeAtqC1oLSAs2CycLGwsUCxELDwsKCwEK8QrbCsIKqAqSCoAKdAprCmQKWwpQCkMKMwokChcKDQoGCgMKAAn+CfkJ8QnlCdUJwgmsCZcJgwlzCWcJXglYCVMJTglGCT0JMQkkCRcJCgj+CPMI6QjdCNAIvgioCIsIZwg9CA4H2gelB28HOAcBBskGjwZUBhkF3wWmBXAFPQUMBN0ErwSCBFcELwQKA+gDyAOqA4oDaQNEAx0C9ALKAqACdwJPAigCAAHXAa0BhAFbATQBEgD0ANwAyAC5AKoAmwCIAHIAWAA7AB4AAv/o/8//tv+c/37/XP81/wz+4P60/or+Yf47/hj9+v3g/cr9uP2m/ZT9gP1p/VD9N/0h/Q/9Avz5/PL86vzg/ND8vfyl/Ir8bvxQ/DL8Evvx+877q/uI+2f7SPss+xL6+vrj+sz6tPqb+n/6YfpB+iD6APnf+cD5oPmB+WD5Pvkb+Pf41Piy+JH4cvhU+Db4F/f499n3u/ee94P3afdQ9zf3H/cG9u721fa89qL2iPZt9lL2OPYf9gf18PXY9cD1pvWK9W/1VPU89Sf1FfUD9PL04PTN9Lj0o/SP9H30bfRf9FH0Q/Q19Cf0GvQN9ADz8/Pl89bzxfO086PzkvOB83LzYvNS80LzMfMf8w/y//Lx8uTy1/LL8sDytfKr8qLymfKQ8obye/Jw8mXyXPJV8lPyUvJT8lTyU/JR8k3ySfJG8kXyRvJI8kryTfJP8lDyUfJT8lTyVvJX8ljyWPJX8lXyVfJV8ljyXvJm8nDyefKC8ofyivKL8ozyj/KW8qDyrvK78sXyy/LN8svyyfLL8tPy4PLx8wPzEvMb8x7zHPMX8xHzDvMP8xTzHfMq8zvzTvNk83rzkfOk87Tzv/PE88XzwvO787Hzo/OT83/zavNW80PzNvMt8yrzK/Mv8zLzNPMy8yzzI/MY8wvy/fLv8uHy0vLB8q7ymfKC8mryUvI78iXyEfH88efx0PG38ZvxfvFf8UHxI/EG8Ovw0vC98KvwnPCN8H7wafBN8Cfv9u++74HvRO8L7trus+6X7oTuee5z7m/uau5k7lruS+447iPuC+317eHt0e3E7bntr+2k7Zfth+127WXtV+1N7UjtSO1L7U7tUe1R7VDtTu1M7UrtSO1G7ULtPO017S3tKO0m7SrtMu097UjtU+1b7WLtaO1v7Xbtf+2I7Y7tk+2U7ZXtl+2b7aLtre267cjt1e3g7ert8+377gTuDe4X7iDuKu407jzuRO5L7lDuVe5a7mDuaO5z7oLulO6o7rzuz+7g7u/u/e8L7xjvJO8u7zfvPO9B70XvSu9Q71nvZO9v73rvhO+O75jvo++w77/v0O/h7/PwBPAW8CbwN/BH8FbwY/Bv8HrwhvCT8KHwsfDB8NDw3vDq8PTw/vEJ8RbxJfE18UbxVvFm8XXxgvGP8ZvxpvGx8bzxx/HS8d7x6/H48gXyEfIc8iXyLPIz8jjyPfJC8kfyTfJU8lzyZfJv8nnygvKJ8pDylfKa8p7yovKl8qnyq/Ku8rDysvK28rvywfLI8s7y0vLU8tby2PLb8t/y5vLt8vTy+vL+8wLzBvML8xLzG/Mk8y3zNfM780DzRfNK81DzV/Nd82PzZvNn82jzaPNq82/zdvN/84jzkPOY857zo/Op87DzuvPG89Xz5vP49An0GPQm9DD0OfQ/9EX0S/RU9F/0bfR99I70nvSs9Lj0wvTN9Nj05PTx9P71CfUQ9RT1E/UQ9Qv1BvT+9Pb06/Tf9NT0y/TI9M302vTu9Qb1IPU49U/1ZPV49Yz1oPW19cf11fXf9eX16PXq9e719PX89gX2D/YY9iD2J/Ys9jL2N/Y89kD2Q/ZG9kn2TPZQ9lX2W/Zh9mf2bPZw9nT2ePZ79n72gPaD9ob2iPaM9o/2k/aY9p32pPat9rj2xPbT9uP29PcG9xf3KPc590r3Wfdo93b3gveN95X3m/ef96L3o/em96v3s/e/98734Pfy+AT4Ffgj+DD4PvhM+Fz4bviB+JT4pfi0+MH4y/jT+Nr44vjr+Pf5BfkV+Sf5OflM+V/5cfmD+ZX5p/m4+cn52fno+ff6BvoV+ib6OPpJ+ln6Z/pz+n36iPqU+qL6svrE+tf66fr7+wz7Hfsu+z/7T/tg+3D7gPuR+6L7tPvH+9v77/wD/Bf8K/w//FP8aPx9/JL8pfy3/Mj82vzu/QL9Gf0v/Ub9W/1u/YH9lP2o/b791f3t/gX+HP4z/kr+Y/58/pb+sv7N/un/Bv8l/0X/Z/+L/67/0P/vAAwAKABCAF4AegCZALoA3QECAScBTwF4AaIBzAH3AiACSAJvApUCuwLhAwYDKgNNA20DiwOoA8UD4wQDBCUESQRvBJQEuATbBP0FIAVGBXEFoAXSBgcGOAZkBoYGngasBrQGuQa/BsoG2QbtBwEHFAcjBysHLgcqByEHEgb9BuMGxAahBn4GXAZABioGHAYTBgwGBwYEBgcGFQY1Bm0GvQciB5IIAghmCLUI7AkNCR8JKQkxCToJQglFCT8JLwkVCPUI1Ai2CJsIgwhsCFYIQQgvCCMIHwghCCUIJggjCBoIEwgTCCUITgiLCNcJJwlwCaoJ0gnsCfwKCAoUCiAKJwonCh4KDAn0CdgJtgmLCVIJBginCDsH0Ad0BzQHGgcjB0YHdAefB7wHyQfLB80H2AfyCBkIRAhqCIAIgAhsCEwIKwgVCBEIIAg+CGIIhAicCKkIrQiqCKcIpwirCLQIvgjFCMkIyAjDCLwItgiyCLAIrwivCKwIpQiaCIoIdghfCEYIKwgNB+oHwAeOB1QHFwbbBqcGgQZsBmgGcQaABo8GmQaZBpEGhAZ4BnAGcQZ7Bo0Gowa5Bs4G3gbqBvMG+gcABwYHCwcNBwwHCAcBBvcG7AbfBtIGwwazBqIGkAZ+Bm0GXgZSBkgGQAY6BjYGMwYzBjUGOAY6BjsGOAYyBikGHgYUBgoGAgX7BfUF7wXpBeIF3AXVBc4FyAXCBb4FuwW5BbkFuQW4BbUFrwWmBZsFjgWCBXcFbwVqBWkFagVuBXMFeQV+BYMFhgWHBYYFhAWBBX8FfwV/BYEFhAWHBYsFjwWTBXkFfwWGBY0FkwWZBZ4FpAWrBbMFvQXIBdMF3wXrBfcGBgYWBikGPwZYBnIGjAalBr4G1QbsBwIHGAcvB0cHXgd2B4wHoge2B8kH3gfzCAoIIwg9CFcIcgiOCKoIxgjjCP4JGAktCTwJRwlMCU8JUQlUCVcJWwlfCWAJYAlfCV4JXglhCWgJcQl6CYQJiwmQCZQJlwmaCaAJpwmvCbkJwgnJCc4JzwnNCccJvQmzCaoJpAmlCa0JvAnQCeYJ+QoHCg0KDQoICgIJ/An7Cf8KCQoZCisKPwpSCmQKdAqCCo4KmAqfCqQKpwqoCqoKrAqwCrcKwArKCtQK3QrjCugK6wruCvMK+QsACwoLFAsfCyoLNgtDC1ILYwt2C4sLoQu1C8gL1wvkC+4L+AwDDBEMIww3DE0MYQxzDIAMiQyQDJYMnQymDLAMuwzFDM4M1AzZDNwM3gzfDN4M2wzWDNEMzQzKDMoMygzIDMMMugysDJwMjQyCDHwMegx7DH0Mewx3DHEMaQxhDFsMVgxSDE4MSQxEDD8MOgw1DDIMLwwsDCkMJwwnDCgMKwwvDDQMOAw6DDwMPQw9DD4MPww/DD0MOww4DDYMNgw5DD0MQgxHDEsMTgxRDFYMWwxgDGQMZQxhDFkMTgxCDDYMLQwlDB4MFgwMDAAL9AvoC94L1wvRC8oLwwu5C64LoguYC5ALiwuHC4QLfwt5C3ELaQtgC1YLTAtACzMLJAsWCwoLAgr/CwALAAr+CvUK5QrPCrQKlwp9CmcKVQpHCjsKLwojChYKCQn9CfMJ6gnjCd0J1gnOCcUJuwmuCZ8Jjgl8CWkJVwlGCTgJLgknCSIJHgkaCRQJCwkACPMI5AjUCMQItAikCJMIfwhnCEsIKQgBB9YHpwd3B0cHFwblBrMGfQZGBgwF0QWWBV4FKAT0BMMElARnBDwEEwPuA8sDqwONA24DTgMrAwUC2wKwAoICVAImAfgBzAGgAXcBTwEpAQUA5QDHAK4AmACGAHYAZwBWAEMALQAV//v/4P/G/6v/kP9z/1P/Mf8M/uX+vP6U/mv+Qv4b/fb91f22/Zz9hv1y/WD9TP05/SX9E/0D/Pf87vzo/OL82fzM/Lr8o/yI/Gv8S/wr/Aj75fvB+5z7eftX+zj7HPsD+uv61Pq++qj6kfp5+l/6Qvoj+gL54Pm9+Zr5ePlV+TL5Dvjp+MP4nvh6+Fj4N/gZ9/z33/fD96b3ifdt91L3OPce9wX27PbU9rz2pPaM9nP2WfY+9iP2B/Xr9dH1ufWh9Yn1cPVX9T71JvUP9Pr05/TU9ML0rvSZ9IT0bvRa9Ef0NvQl9Bb0BvP28+fz2PPL87/zs/Ol85fzhvNz82HzT/M+8y/zIfMT8wTy9PLk8tPywvKz8qbymvKR8onygfJ78nTybfJk8lnyTPI/8jLyJvIe8hjyFfIU8hTyE/IS8hHyD/IP8g/yD/IQ8g/yDfIL8gnyCPIJ8g3yEvIY8h7yI/Ik8iTyI/Ij8iTyKPIu8jfyQPJI8k7yUvJU8lXyV/Jc8mPybfJ38oDyhfKI8ojyiPKJ8o7yl/Kl8rXyxfLS8tvy3vLd8tny1fLS8tHy1fLe8uvy/fMS8ynzQPNW82nzefOE84nzifOE83vzbfNd80vzOfMq8x3zE/MM8wjzBfMD8wDy/fL58vPy7fLk8tvy0PLE8rbyp/KY8ofydvJj8k/yOvIl8g/x+fHi8czxtvGg8YrxdfFg8UrxMvEZ8Pzw3/DB8KXwjPB28GPwT/A68B/v/u/W76jvdu9B7wzu2O6p7n/uW+4/7izuIO4b7hjuFe4P7gXt9u3j7dDtv+2w7aPtme2O7YHtce1g7U/tQe037TPtNO027TjtN+0z7S3tJu0h7R/tIe0m7SvtL+0w7S7tKu0m7SLtIe0i7STtKO0u7TTtO+1E7U7tWe1j7Wztc+147Xvtfu2C7YbtjO2T7Zvto+2s7bTtvu3I7dLt3u3p7fXuAO4L7hfuIu4s7jXuPe5D7kruUe5Z7mPub+587ovum+6s7r3uz+7h7vLvAu8Q7xzvJe8u7zfvQO9L71XvX+9n727vc+9574Dvie+V76Lvr++978rv1+/l7/TwBPAU8CTwM/BA8EvwVvBi8G/wffCM8JvwqfC28MHwzPDY8Obw9fEE8RTxI/Ey8T/xTPFY8WXxcvF+8YrxlfGg8arxtPG/8cjx0fHa8eLx6fHx8fnyAPII8g/yFvIc8iLyKfIx8jnyQfJJ8lHyV/Jd8mPyZ/Js8m/ycvJz8nXyd/J58n7yg/KJ8o/yk/KV8pbyl/KZ8p3yo/Kp8rDytvK68r3ywfLG8s3y1/Lh8uvy9PL78wHzBvMN8xTzHfMm8y/zNPM48znzOfM58zzzQvNJ81LzWvNh82jzbfN083zzh/OU86Pzs/PC89Dz2/Pl8+7z9fP89AT0DPQW9CH0LfQ59EX0UfRb9GX0cPR79If0lfSj9LD0uvTC9Mf0yvTM9M70z/TQ9M/0y/TE9Lr0sfSp9Kf0qfSx9L30yvTZ9Oj0+fUM9SP1PPVY9XL1ivWc9ar1s/W69b/1xfXM9dP12/Xi9en17/X19fv2AvYI9g72E/YY9hz2IfYn9i72NfY99kT2SvZQ9lT2V/Za9lz2XvZf9mH2YvZl9mj2bPZy9nr2hfaR9qD2r/a+9s322/bo9vT2//cK9xf3Jfc090X3Vvdm93T3gfeM95X3nfek96v3s/e898b30ffd9+j39PgB+A/4Hvgv+EH4VPhn+Hj4hviS+Jz4pPir+LL4u/jF+NH43vjs+Pz5DPke+TD5RPlY+W75hPmZ+a35wfnS+eP59PoF+hb6J/o2+kT6UPpZ+mL6a/p2+oL6kvqk+rf6y/rf+vP7B/sZ+yr7OftF+0/7V/tg+2r7d/uH+5z7s/vN++f8Afwb/DP8Sfxd/G/8gPyR/KP8t/zN/Ob8/v0W/Sz9P/1Q/WH9cv2G/Zz9tP3O/ej+Af4b/jX+Uf5v/o3+rP7L/un/Bv8k/0P/ZP+H/6r/zv/uAA0AKABCAFwAdwCUALIA0wD2ARoBQAFoAZMBvgHpAhQCPAJhAoMCpALEAuUDCAMsA1ADdAOXA7kD2QP5BBoEOgRbBHwEmwS4BNUE8wUTBTkFZQWXBcsF/wYuBlUGcwaIBpgGpga1BscG3Qb0BwgHFQcYBxAG/AbfBrsGkwZpBj8GFwX0BdkFyQXDBckF1wXrBgAGFAYoBj4GXAaKBssHIgeJB/gIYwjBCQgJNglOCVcJWAlWCVUJVQlSCUkJOwkmCQ0I8wjYCL4IoQiBCFwINggTB/YH4wfbB9kH2gfZB9UH0QfUB+MIBAg3CHcIvQj9CTIJWQlyCYIJjgmYCZ8JowmiCZwJlAmMCYgJhgmCCXMJUQkaCM0IdAgdB9UHqAeYB6AHtwfPB98H5QfjB98H4gfvCAYIIgg5CEYIRAg2CCEIDwgICA4IIQg8CFgIbgh8CIAIfQh3CHIIcQh0CHkIfwiECIUIhAh/CHkIcQhqCGQIYAhdCFsIWQhVCE4IQQgwCBoIAQfoB9AHuAehB4gHbgdRBzUHGQcBBu4G3wbSBsQGtAahBosGdwZoBmEGZQZxBoQGmgauBr8GywbTBtgG3QbiBuYG6gbrBucG3wbRBsAGrAaXBoIGbQZaBkgGOAYpBh0GFAYLBgMF/AX2BfAF7AXqBesF7QXvBfEF8gXwBewF5wXiBdwF1wXRBcoFwgW5Ba4FowWZBZEFigWGBYUFhwWLBZEFmAWdBZ8FnAWTBYYFdgVlBVYFSwVFBUQFSAVOBVYFXgVjBWcFaAVoBWcFZwVoBWkFbAVuBW8FbwVvBXAFcQV0BWcFbwV3BX4FgwWIBYwFkgWaBaQFsAW/Bc4F3QXsBfwGDQYgBjUGTAZkBn4GmAaxBskG4Ab3Bw8HKAdDB14HegeUB6sHvwfQB98H7gf9CA0IIQg3CFAIbAiKCKoIywjrCQgJIQk0CUAJRglJCUoJTAlPCVQJWQlcCV0JWglWCVMJUglVCVsJZQlvCXcJfQmBCYMJhgmKCZIJmwmmCbAJtwm6CbgJswmqCaAJlgmOCYoJjAmUCaEJsgnECdMJ3gniCeAJ2wnUCc8JzgnSCdsJ5gn0CgIKEAoeCiwKOwpJClgKZAptCnMKdwp5CnsKgAqHCpAKnAqnCrEKuQq9Cr8KvwrACsMKxwrOCtcK4QrtCvgLBQsTCyILMwtGC1sLcAuFC5gLqAu3C8MLzwvbC+sL/gwTDCoMQAxTDGIMbgx4DIAMiAyRDJsMpQytDLQMuQy8DL8MwgzDDMMMwgy/DLsMtwy0DLEMrwysDKcMnwyUDIgMfQx0DG8MbQxsDGoMZwxiDFoMUgxKDEMMPgw5DDQMLwwqDCUMIQwdDBoMGAwWDBUMFQwWDBgMGwweDCEMIwwlDCcMKwwuDDMMNgw5DDkMNww1DDMMMww0DDgMOww+DD8MPww/DD8MQgxFDEcMRwxDDDsMMAwkDBoMEgwLDAYL/wv2C+sL3gvRC8YLvQu0C6sLoAuTC4MLdAtmC1sLVAtQC00LSwtHC0ELOwszCysLIwsbCxILCQsBCvsK9wr1CvUK8grsCt8KzAqzCpcKewphCkoKNwonChcKCQn7Ce4J4gnZCdEJygnCCbgJrAmeCY8JfwlvCV8JTwk/CS8JIAkSCQcI/gj5CPUI8wjxCO0I6AjfCNQIxgi1CKIIjQh2CF0IQwgnCAgH5gfBB5kHbQc/Bw8G3AapBnQGPgYHBdAFmgVlBTMFAwTVBKkEfgRUBCsEAwPeA7oDmQN5A1kDOgMYAvQCzQKiAnQCRAISAeEBsQGDAVgBLwEJAOYAxAClAIoAcQBdAEoAOQAoABYAAf/q/9H/t/+c/3//Yv9E/yT/Av7f/rr+lf5v/kj+Iv38/dj9tv2Y/X79Z/1T/UH9Lv0d/Qz8/vzx/Oj84fzb/NP8yPy4/KP8i/xu/FD8L/wM++b7vvuW+277Sfso+wv68/rd+sn6tPqe+of6bvpV+jr6HvoA+eD5vvmb+Xj5U/kv+Qr45Pi9+Jb4bvhI+CT4Avfj98b3q/eQ93X3Wfc+9yH3Bfbp9s72tPac9ob2cPZb9kb2LvYV9fn13PW+9aH1hfVr9VP1O/Ul9Q70+PTj9M70uvSm9JL0fPRn9FH0O/Qn9BX0A/Py8+Lz0fPA87DzofOT84Xzd/No81fzRPMv8xvzB/L28ujy3PLR8sXyuPKq8pryi/J98nDyZvJe8lfyUfJM8kbyQPI48i7yI/IW8gnx/PHw8ebx3vHZ8dXx0/HS8dLx0/HV8dfx2PHY8dXxz/HH8cDxuvG48brxv/HH8c/x1/Hd8eDx4vHk8efx6/Hy8fryA/IL8hPyGPIc8h/yIfIj8ifyK/Iv8jXyOfI88j7yQPJD8kfyTvJZ8mfydvKF8pHymfKc8pvylvKR8o3yjfKS8p3yrfLB8tfy7/MG8xvzLfM780XzSPNF8zvzLfMb8wny+fLt8uXy4vLi8uLy4fLe8tfyz/LF8rzys/Kq8qLymvKS8ojyffJw8mHyUPI98inyFPH+8ejx0fG68aTxj/F78WnxWvFL8T3xLPEY8P/w4vDC8KHwgfBk8EvwNfAi8A7v+e/h78Xvo+9770zvF+7e7qPuae427gzt7u3c7dPt0O3O7cvtxO267a3toO2W7Y3th+2A7XftbO1e7U/tQe037TDtLe0r7SntJO0c7RHtBuz97Pfs9+z77QLtC+0S7RjtGe0Y7RXtEe0N7QrtCO0J7Q3tE+0b7SXtL+057UHtSe1P7VXtW+1g7WbtbO1x7Xftfu2F7Yztlu2g7aztt+3D7c7t2u3m7fLt/u4L7hfuIu4t7jbuQO5J7lLuW+5k7m/ueu6I7pbup+647sju1+7k7vDu++8H7xXvI+8y70DvTe9W717vZO9q73PvfO+I75Pvne+l76zvs++878fv1u/l7/bwBPAR8BvwJfAv8DvwSfBZ8GnwePCH8JTwofCt8Lrwx/DU8OHw7vD58QXxEfEe8SvxOfFH8VTxYPFq8XTxffGE8YvxkvGY8Z7xpfGt8bbxwPHK8dPx2/Hi8ejx7fHy8fjx/vIF8gzyE/Ia8iHyJ/It8jLyNvI48jryO/I+8kHyR/JN8lTyWvJd8mDyYfJi8mXyaPJt8nHydfJ38njyefJ88oLyifKT8p7yqPKw8rjyvvLG8s7y2fLk8vDy+fMA8wTzBfMH8wnzDfMS8xnzH/Mm8y3zM/M780TzUPNe823zfPOJ85bzofOq87LzuvPB88nz0PPX89/z5vPu8/f0APQK9BX0IfQv9D70TfRb9Gf0cfR39Hv0ffSA9IT0ifSP9JX0mvSc9Jz0m/SY9Jb0lfSV9Jb0mfSc9KP0rPS69M305fUA9Rz1N/VP9WP1dPWB9Yz1lfWe9aX1q/Wx9bf1vfXD9cr10vXZ9eH16PXu9fX1/PYD9gv2E/Yc9iP2KvYv9jT2OPY79j32PvZA9kH2QvZE9kf2TPZT9lz2Z/Z09oH2j/ac9qn2tPa+9sj20vbd9un29/cG9xb3Jvc390f3V/dm93P3gPeM95f3oPep97H3uffB98r31ffi9/D4APgR+CH4MfhA+Ez4V/hg+Gj4cfh5+IP4jvib+Kj4t/jG+Nf45/j5+Qv5H/k0+Un5X/l0+Yn5nPmv+cL51fno+fv6Dvof+i76O/pG+k/6Wfpk+nH6f/qQ+qL6tPrI+tv67/sB+xL7H/sq+zH7Nvs6+0H7S/tb+2/7ifum+8X74/v+/Bf8K/w8/Ev8Wfxo/Hn8j/yo/MP83vz3/Q79IP0w/T/9UP1k/Xv9lP2w/cz96P4F/iT+Rf5n/or+rf7N/uv/B/8i/z7/XP9+/6L/x//sAA4ALgBMAGkAhwClAMQA5AEEASUBRQFnAYoBrwHVAfwCIgJGAmgCiQKpAskC6wMPAzUDWwOAA6MDxgPnBAgEKQRLBGwEjASrBMkE5gUEBSUFSgVzBaAFzQX4Bh8GPwZaBnEGhQaYBqwGvgbNBtUG0wbGBqwGiAZcBi0F/gXVBbMFngWWBZ0FtAXZBgkGPwZ4BqwG2gcAByEHQgdnB5UHzQgOCFMIlAjNCPkJFwkqCTUJPQlECUkJTAlKCUAJLwkYCPwI3wjACKAIfghZCDEICwfqB9MHxgfCB8QHxQfCB7oHsQeuB7gH1AgCCD4Ifwi9CO8JEgkmCTAJNAkzCTAJKgkhCRUJDAkICQ0JGwksCTkJOQkjCPYItghuCCoH8wfSB8QHxQfMB9MH1gfVB9MH1gfeB+0IAAgRCB0IJAgnCCkILwg6CEkIWAhiCGUIXghPCD0ILQgiCB4IIQgnCC8INQg6CDwIPQg8CDsIOQg0CC4IJwggCBsIGAgWCBMIDAgBB/EH3gfKB7gHqgefB5YHjAd/B2wHVgc9ByQHDQb5BucG2AbLBr4GswarBqYGpwasBrMGuwbCBscGyAbHBsUGwwbBBr8Guwa0BqkGmwaKBncGYwZOBjsGKAYXBggF+wXxBekF4wXeBdgF0AXGBboFrgWiBZkFkwWPBY4FjwWQBZMFlgWaBZ4FoQWjBaIFngWWBYoFfAVuBWEFVwVQBU8FUwVaBWUFcAV5BX4FfAV0BWYFVQVDBTMFKQUlBSYFKwUzBToFQAVDBUMFQwVDBUQFRwVLBVAFVQVYBVkFWQVZBVoFXAVhBWEFawV1BXwFgQWGBYsFkQWZBaQFsgXBBdIF4gXzBgQGFgYqBj8GVgZuBogGoQa5BtEG6AcABxgHMwdQB24HiwelB7sHywfYB+IH6wf1CAMIFggtCEgIZwiICKoIzAjrCQcJHAksCTQJOAk6CTsJPglECUsJUwlYCVoJWAlUCU8JTQlOCVIJWQlfCWUJaAlrCW4Jcwl7CYUJkQmaCaAJoQmbCZEJhQl5CW8JaglpCW4JeAmFCZQJogmtCbQJtgmzCa0JpwmiCaEJpAmrCbQJvgnICdAJ2QniCe4J/AoLChwKKgo2Cj8KRApICkwKUgpaCmQKbwp5CoIKiAqLCowKjAqMCo4KkQqXCp8Kqgq3CsUK1ArlCvYLCAsbCzALRAtZC20LfwuQC54LrAu6C8kL2wvvDAUMGgwuDEAMTwxcDGcMcgx9DIcMkAyXDJwMnwygDKEMogyjDKMMpAyjDKAMnQyZDJQMjwyKDIQMfQx1DG4MZwxjDGAMXwxfDF0MWwxVDE4MRgw9DDMMKgwiDBsMFQwRDA0MCgwIDAYMAwwBC/4L/Qv9C/4MAAwCDAMMBQwHDAsMEAwYDCEMKQwvDDIMMgwxDC8MLwwwDDIMNAwzDDEMLQwoDCYMJQwmDCgMKAwkDBwMEgwGC/wL9AvvC+oL5QveC9QLxwu6C6wLoAuUC4gLewtrC1oLSQs5CywLJAsfCxwLGwsYCxULEAsKCwQK/gr4CvIK7QroCuMK4ArcCtcKzwrDCrEKnAqECmsKVAo/Ci4KHQoOCf4J7QneCdAJxAm8CbUJrgmlCZgJiAl0CV8JSgk1CSIJEQkBCPEI4wjWCMwIxAi/CLsIuQi4CLUIsgisCKUImgiNCHsIZQhMCC4IDwfuB8sHqAeDB1sHMAcABswGlAZbBiIF6wW3BYcFWQUvBQgE4gS9BJkEdARPBCoEBQPgA7sDlwN1A1MDMQMQAu0CyAKgAnQCRgIVAeMBsQGBAVIBJQD7ANMArQCKAGsATwA4ACMAEP/9/+n/1P+8/6T/i/9y/1j/P/8k/wf+6P7G/qL+ff5W/i/+Cf3j/cD9of2F/W39Wf1G/TT9I/0R/P/87/zi/Nf8zfzE/Lj8qvyY/IP8bPxR/DX8Ffvy+8r7nvtx+0T7HPr5+t76yfq4+qf6lvqB+mn6T/oy+hX59/nY+bj5mPl2+VL5LvkJ+OP4vPiU+Gv4Qvgb9/X30vez95X3evdg90b3LPcQ9vT21/a69p72hPZr9lT2PvYq9hX1//Xm9cr1rfWO9W/1UfU29R31BfTw9Nv0xvSy9J70ivR19F/0SfQy9Bv0BfPw893zy/O7863znvOR84PzdvNo81nzSfM28yHzCvLz8t3yyfK58qzyovKa8pHyh/J78m3yX/JS8kXyOvIx8ijyIfIa8hPyDPIF8f3x9PHq8d/x0vHG8brxr/Gm8Z/xmfGV8ZPxk/GU8ZTxlPGR8YvxgvF28WnxXfFT8U3xTPFP8VXxXfFn8XHxfPGH8ZLxnfGn8bHxuvHC8crx0fHX8dzx4PHi8ePx5PHl8ebx6PHs8fDx9PH58f7yBPIM8hbyIvIw8jzyRvJM8k3ySvJE8j/yPfJA8knyV/Jp8n7ylPKp8r7y0vLi8u/y9vL38vDy4vLQ8r3yrPKg8prym/Kf8qXyqvKr8qjyofKX8ozygPJ18mzyZfJd8lbyTfJC8jTyI/IR8fzx5/HS8b7xqvGW8YPxcPFe8UzxPPEt8R/xEPEA8Ozw1fC78J/wgvBm8EvwM/Ad8Anv9u/j78/vue+e73zvU+8i7ururO5v7jbuBe3e7cLtr+2h7Zftje2D7Xntce1s7Wntae1q7WjtZO1c7VHtRO037S3tJO0e7RjtEu0L7QHs9uzr7ODs2ezU7NTs1+zd7OXs7ez07Pns+uz67Pjs9uz07PXs9+z87QLtCO0P7RbtHO0j7SrtMu077UTtTO1U7VztY+1q7XHteu2E7Y7tmu2l7bHtvu3K7dft4+3w7fzuCe4W7iLuL+477kfuUe5b7mTube547oPukO6d7qnutO6+7sfu0e7c7uvu++8M7x3vLO8570TvTu9X72Pvbu9674Tvi++Q75TvmO+f76nvt+/H79bv5O/u7/bv/fAE8A7wG/Ar8DzwTfBd8GzwefCE8I/wmfCj8K3wtvDA8Mrw1vDj8PHw//EN8RrxJvEx8TvxRfFN8VXxW/Fg8WXxa/Fx8XnxgvGL8ZXxnfGl8avxsfG28bzxwvHI8c/x1fHb8eHx5/Ht8fPx+PH88f7yAPIB8gTyCPIP8hbyHfIj8ijyK/It8i/yMvI18jjyOvI78jzyO/I88j/yRPJL8lXyXvJm8m3yc/J68oLyi/KX8qPysPK68sPyyfLO8tLy1vLa8t/y5PLq8u/y9fL98wbzEfMe8yzzO/NI81XzYfNs83XzfvOG84zzkvOX85vzoPOm867zt/PC887z2/Pp8/f0BPQQ9Bv0JPQr9DD0NfQ49D30QvRK9FL0W/Rk9Gz0c/R49Hv0fvR/9ID0gfSC9IX0i/SU9KH0sfTD9Nj07fUD9Rj1LPVA9VL1YvVv9Xr1g/WJ9Y/1lPWa9aH1qfWx9br1w/XL9dT13fXl9e719vX99gT2CvYP9hP2F/Yb9h72IfYj9iX2J/Yq9i32M/Y59kH2SvZU9l72aPZz9n32iPaU9qD2rva89sr22fbn9vX3A/cR9x/3Lfc790r3Wfdn93P3fveI95H3mvej9673u/fJ99f35ffy9/74CPgS+Bv4JPgt+Df4QvhN+Fn4Zfhy+IH4kPih+LP4xvja+O/5Bfka+TD5RPlX+Wn5evmM+Z35sPnF+dr57voB+hP6Ivov+jv6RvpS+l/6bfp9+o76n/qy+sb62/rv+wL7Evsf+yj7L/s0+zr7QvtQ+2L7efuT+6/7y/vk+/v8Dfwc/Cn8NvxE/Fb8bfyG/KP8v/za/PH9Bf0X/Sn9PP1R/Wr9hv2i/cD93f38/hz+Pf5h/oT+p/7H/uP+/f8W/zD/Tv9v/5X/vf/lAAwAMABTAHUAlgC4ANoA/AEbATcBUgFrAYUBoQHAAeECBQIqAk4CcQKUArYC2QL9AyEDRANoA4sDrQPPA/IEFgQ8BGIEhwSqBMsE6gUIBSYFRQVoBY0FtAXZBfsGGAYvBkAGTAZUBlkGWgZYBlAGQgYtBhIF9AXVBbkFpAWbBZ8FtAXYBgwGTAaUBuEHKwdwB6oH2Qf9CBcIKwg9CE4IYQh2CIsInwiyCMMI0wjkCPYJCAkYCSMJJgkfCQ4I9QjWCLUIlQh1CFcIOAgaB/0H5gfVB84H0AfYB98H4AfYB8gHtQenB6cHuwfkCBwIXAiaCM0I8wkKCRUJGAkYCRMJCwj/CPAI4AjSCMwIzQjTCNkI1gjECKIIbwg0B/kHxwejB48HiQeLB5IHmgeiB6wHuAfHB9kH6gf6CAgIEwggCC4IPghPCFwIYQhaCEYIKQgIB+oH1gfMB80H1AfeB+UH6AfoB+gH6QftB/MH+Qf8B/oH8wfpB98H1gfPB8sHxgfAB7cHqgedB5EHhweCB30HeQdxB2UHVAdABywHGgcNBwQG/gb5BvMG7AbkBtoG0AbHBr8GuQazBq8GqgalBqAGmQaQBoQGdgZkBlEGPAYpBhgGCAX7Be8F4wXYBc0FxAW9BbkFtQWyBawFpAWXBYcFdAViBVMFRgU/BTsFOgU8BT8FRAVLBVMFXAVlBWwFcAVvBWoFYAVSBUQFNgUsBScFKAUvBTkFRQVPBVUFVAVNBUEFMgUjBRcFEAUOBRAFFAUZBR0FHgUeBR4FHgUgBSQFKQUvBTUFOQU8BT0FPgVBBUUFTQVWBVoFZwVyBXoFgQWIBY8FmAWiBa4FuwXKBdoF6gX6BgwGHgYyBkgGYAZ6BpQGrgbHBt8G9gcNByQHPQdXB3EHigefB7EHvQfGB84H1gfiB/MICggmCEUIZgiGCKYIwgjcCPIJAgkPCRcJHAkfCSMJKQkyCTsJRAlLCU8JTglKCUYJQglACUEJQwlGCUkJTAlQCVUJXAlmCXAJeAl8CXsJcwlmCVcJSglACT0JQQlKCVgJZwl1CYAJiAmLCYoJhQl+CXcJcglwCXEJdgl9CYUJjAmTCZgJngmlCbAJvAnMCdwJ6wn4CgIKCgoRChkKIQorCjYKQApKClEKVgpYClkKWApXClcKWgpeCmYKcgqBCpIKpgq6Cs8K4wr3CwoLHgszC0cLWgttC30LjQubC6oLuwvNC+EL9gwKDBwMLQw7DEgMVAxgDGoMdAx8DIIMhQyGDIYMhQyFDIQMgwyCDIAMfAx3DHIMbAxlDF8MWQxTDE4MSgxIDEYMRgxHDEcMRgxDDD4MNwwtDCMMGAwNDAUL/wv7C/gL9gvzC/AL6wvlC+AL3QvcC9wL3gvfC+EL4wvmC+sL8wv9DAkMFAwdDCMMJQwmDCUMJgwnDCkMKQwnDCIMHAwVDA8MDAwLDAwMCwwIDAEL9wvsC+IL2gvUC9ELzQvIC8ALtgupC5wLjwuDC3ULZwtWC0QLMQsfCxALBAr8CvcK9ArxCu4K6wrnCuIK3QrWCs8KyArBCroKswqrCqIKlwqICncKZApQCj4KLgogChMKBgn3CecJ1gnFCbYJqwmjCZ0JlgmMCX0JaglUCTsJIgkKCPMI3gjKCLYIpAiTCIUIeghzCG0IaghnCGUIYwhhCF4IWghSCEYINQgdCAAH3we7B5cHcgdNBycG/QbPBpwGZQYtBfQFvwWOBWIFOgUWBPQE1AS0BJQEcwRSBDEEDgPqA8QDngN4A1MDLgMLAugCxAKfAncCTAIeAe4BvAGKAVkBKAD5AM0AowB9AFwAPwAmAA//+P/h/8n/r/+U/3v/ZP9P/zz/Kv8V/v7+4v7D/p/+eP5P/ib9/f3X/bP9k/13/V/9Sv03/SP9D/z7/Of81fzF/Lj8rPyg/JT8hfx0/GH8S/w0/Bv7/fvb+7P7hvtW+yb6+/rX+rv6qPqZ+oz6ffpp+lH6NfoV+fT50vmw+Y75bPlJ+SX5APja+LT4jPhk+Dz4FPft98n3pveH92r3T/c19xz3Avbo9s32svaX9nv2X/ZF9iv2EvX59eH1yfWv9ZT1ePVa9T31IfUG9O301fS/9Kr0lvSD9HD0XPRI9DP0HPQF8+zz1PO986fzlPOE83fzbPNi81nzUPNG8zjzJ/MT8vzy4/LK8rPyofKS8ojygPJ58nDyZvJZ8kvyO/Is8h7yEfIF8frx7/Hm8d3x1fHO8cbxv/G28azxofGV8YvxgfF48XHxavFj8V3xVvFP8UjxQPE38SzxIPEQ8P/w7fDc8M7wxPC/8MHwyfDX8OvxAfEZ8THxRfFW8WPxbPFz8XnxgPGH8Y7xlfGa8Z3xnvGe8Z3xnvGg8aTxqfGu8bPxuPG98cTxzPHW8eHx6/Hx8fXx9PHw8ezx6vHs8fLx/fIL8h3yMPJE8lnybvKC8pTyovKp8qnyofKR8n7yavJZ8k7ySvJM8lPyXPJl8mrybPJo8mDyVvJK8j7yM/Ip8h/yFvIL8f3x7vHb8cjxtPGh8ZDxgPFw8WDxT/E98SnxFfEC8O/w3vDO8L/wr/Cf8I3wevBm8FDwOvAi8Arv8u/b78bvs++g74vvc+9W7zDvA+7P7pjuYe4t7f7t1u2z7Zbtfe1o7VbtSO0/7TrtOe067T3tPe077TbtLe0h7RXtCu0B7Pvs+Oz17PPs7+zn7N3s0ezE7Lnssuyw7LPsu+zH7NLs3Ozj7Obs5+zm7OXs5ezm7Ojs7Ozw7PTs+e0A7QftEO0a7STtLu037T/tR+1O7VbtX+1o7XPtfu2L7Zntp+207cLtz+3b7eft8+3/7g3uG+4p7jbuQu5N7lfuYO5p7nTufu6J7pPunO6j7qrusu677sju1u7m7vfvBu8U7yDvLO8470TvUe9d72fvbu9073jvfu+G75LvoO+v773vye/Q79bv2u/f7+bv8e//8A/wIPAw8D/wTPBX8GHwavBy8HrwgvCL8JXwofCu8LzwyfDW8OHw6/D18P/xCfET8R3xJfEs8TLxNvE78UDxRvFN8VTxXPFk8Wvxc/F78YPxi/GS8ZjxnfGh8aXxqfGt8bPxuPG88cDxwfHD8cTxx/HM8dLx2fHg8ebx6vHu8fLx9vH68f/yA/IG8gjyCPIJ8gvyD/IU8hzyI/Ip8i7yM/I28jryQfJK8lXyYfJu8nnyg/KL8pHylvKb8qDypfKq8q/ytfK88sTyzfLY8uTy8vL/8wzzGPMk8y7zN/M/80bzTPNR81fzXvNm83Dze/OG85Hzm/Ok863ztfO+88fz0fPa8+Tz7PPz8/r0APQH9A/0GPQi9C30OPRC9Ev0U/Ra9GH0aPRw9Hj0gfSK9JL0m/Sj9Kz0tvTD9NP05vT89RL1KfU99U31WvVj9Wr1b/V19Xv1g/WL9ZT1nvWp9bT1vvXI9dH12fXg9eb16vXv9fP1+PX89gD2BPYI9gv2D/YT9hj2HvYk9iv2MvY59kH2SfZS9lz2aPZ19oT2kvai9rH2v/bM9tn25fbx9v73C/cZ9yf3NfdC90/3W/dm93H3ffeJ95b3o/ex9733x/fQ99f33vfm9/D3+/gI+Bb4JPgx+D74SvhW+GP4cviD+Jb4rPjD+Nv48/kK+SD5NPlH+Vf5Z/l2+YX5lvmo+bv5zvnh+fP6BPoS+iD6Lfo6+kf6Vvpl+nX6h/qb+rD6x/rf+vb7C/sd+yv7Nfs++0X7TftX+2X7dvuJ+577tPvK+9377/v//A78Hvwv/EL8WPxy/Iz8qPzC/Nr88f0H/R39Nf1P/Wv9iP2l/cL93/38/hn+OP5Y/nj+l/61/tD+6/8G/yT/Rf9q/5L/vP/lAA0AMgBWAHkAnAC/AOMBBQElAUABWQFvAYUBnQG3AdQB9QIYAjsCXwKCAqQCxwLqAw0DLwNSA3MDlgO5A94EBQQuBFcEgASlBMgE6AUGBSQFQwVlBYkFrQXPBeoF/gYGBgUF+wXqBdYFwgWvBZ8FkwWMBYgFigWSBaMFvQXjBhUGVAadBuwHPgeNB9UIEghCCGYIfgiPCJoIogipCK8ItAi3CLkIuQi6CL8IxwjUCOMI8gj7CPoI7gjWCLYIkQhtCE0IMwgfCA4H/wfwB+IH2AfUB9cH4QftB/YH9wftB9kHwQesB6MHqwfHB/IIJQhZCIYIqQjBCNEI3AjjCOgI6QjlCNoIygi3CKQIkwiECHMIXghCCBwH7we/B5EHbAdSB0UHQwdJB1QHYgdyB4UHmQetB8AHzwfZB94H4QfjB+gH7wf3B/sH+AfsB9gHvwemB5UHjQePB5gHoweqB6sHpQecB5MHkAeUB50HqAewB7IHrAehB5MHhQd6B3QHcAdsB2cHYAdXB04HRgdABzwHOAc0By4HJQcbBxEHCAcBBvwG+AbxBucG2gbIBrUGogaQBoEGdgZvBmsGaQZnBmQGXgZTBkMGLgYVBfsF4gXMBboFrAWhBZgFjwWGBX0FdQVwBWwFawVpBWYFYAVVBUgFOQUrBSAFGQUWBRQFFAUSBQ8FDAUKBQkFDQUUBR4FKAUxBTYFNQUvBSQFGAUNBQQFAQUEBQsFFQUeBSQFJQUiBRsFEQUIBQIE/gT9BP0E/gT+BP0E+wT5BPkE+wUABQcFDwUVBRoFHQUeBSAFIwUpBTMFPwVMBVEFXQVoBXMFfQWHBZMFngWrBbcFxAXSBeAF7wYABhMGKAY+BlYGcAaLBqYGwQbbBvMHCAcdBzAHRAdYB2wHfwePB50HqAeyB7sHxwfXB+wIBwgkCEMIYQh8CJMIpwi5CMgI1gjiCOwI9Qj8CQQJDQkWCR8JJwktCTEJMAktCSkJJQkjCSIJJAknCSsJMAk2CTwJQwlJCU0JTglKCUEJNAklCRgJDwkOCRUJIQkxCUIJUQlbCWAJYAlcCVYJTwlICUIJPwk+CUAJRAlKCVAJVwleCWUJbAl0CX4JiQmVCaEJrgm5CcQJzgnZCeUJ8Qn/CgsKFwohCicKKwosCioKKAolCiMKJAopCjIKQQpUCmsKgwqbCrIKxgrZCusK/AsPCyILNQtIC1oLawt7C4oLmwutC8AL1QvpC/sMCwwZDCQMLgw4DEIMTAxWDF4MZQxpDGsMbAxqDGgMZgxjDF8MWwxXDFIMTQxIDEQMPww7DDYMMwwvDC0MKwwqDCoMKgwoDCUMHgwWDAsMAAv1C+0L5wvjC+AL3gvaC9QLzgvHC8ELvQu8C70LwAvCC8ULxwvKC88L1wviC+8L+wwGDA4MEwwVDBcMGQwbDB4MHwwdDBkMEgwKDAML/gv7C/kL9wv0C+0L5QvbC9ELyQvEC8ALvAu4C7ILqguhC5cLjAuAC3QLZQtUC0ELLQsYCwUK9QroCt8K2ArSCs4KywrGCsEKuwqzCqkKnwqUCokKfwp1CmoKXwpSCkQKNQonChkKDgoECfkJ7gngCdAJwAmwCaIJmAmRCYoJggl3CWcJUQk5CR4JBAjrCNIIugiiCIoIcghbCEYINQgoCB8IGAgSCA4IDAgLCAoICggJCAMH+AflB8sHrAeKB2YHQwchBv8G3Aa2BowGXgYsBfoFyAWYBWwFQgUbBPYE0wSwBI8EbgROBC0ECwPnA8IDmwNzA0sDJQMAAtwCuQKVAm8CRwIcAe8BwAGQAWABMAECANYArwCLAGwAUAA2ABsAAP/h/8H/oP+B/2X/T/88/y3/H/8O/vn+3v6+/pr+c/5J/iD99/3P/ar9h/1m/Un9L/0W/P/86PzS/L38q/yb/I/8hPx6/HD8Y/xU/EL8LvwY/AD74/vD+537cvtE+xb67PrI+qv6lvqG+nj6afpV+jz6H/n9+dj5svmM+WX5P/kZ+PP4zfim+ID4Wfgz+A335/fD96D3f/dh90X3K/cS9vn24fbJ9rH2mPZ+9mP2RvYp9gv17vXQ9bT1mfV+9WX1TPUz9Rr1AfTo9M/0t/Sg9Ir0dPRf9Ev0OPQk9BDz+vPk88zzs/Ob84PzbvNb803zQvM68zPzLvMm8xzzDfL68uTyzPK08p/yjvKA8nbybvJl8lryTPI88inyFvIE8fPx5PHW8cnxvvG08avxovGa8ZDxhPF48WrxXPFQ8UbxP/E78TnxNvEw8SjxG/EM8Prw6PDW8MXwtPCj8JHwf/Bs8FvwTvBH8EjwUfBj8H3wnPC88Nvw9fEK8RnxIvEo8S3xMvE58ULxS/FT8VnxXPFd8VzxW/Fb8V3xYPFj8Wfxa/Fv8XPxefGB8Yrxk/Ga8Z/xofGh8Z/xnfGd8aHxqPGz8cHx0fHk8fnyD/In8j/yU/Jj8mzya/Jh8lHyO/Il8hLyBPH/8gHyCvIX8iXyL/I18jTyLfIg8hHyAfHy8eTx2PHM8b/xsPGf8YzxePFl8VTxRPE28SfxGPEG8PLw3PDH8LLwn/CP8IDwdPBo8F3wUfBF8DbwJPAQ7/jv3+/F763vmO+H73nvbe9f703vNe8V7u3uv+6O7lzuK+397dPtq+2I7WjtS+0y7R/tEO0H7QPtAe0B7QHs/ez37O7s5Oza7NTs0ezS7Nbs2+zd7Nvs1OzH7Lnsq+yh7J3sn+ym7LHsvOzG7M3s0uzT7NPs1OzU7Nbs2ezd7OHs5+zt7PTs++0E7QvtE+0a7SHtKO0v7TftQO1K7VTtYe1u7XztjO2b7antt+3D7c/t2u3m7fLt/+4M7hnuJO4v7jnuQu5N7lfuY+5v7nnugu6K7pHumO6g7qrutu7E7tLu3+7r7vbvAe8M7xjvJe8y7z3vR+9Q71fvX+9p73TvgO+N75nvou+p767vsu+3777vyO/T7+Dv7u/78AnwFvAi8C3wOPBC8ErwU/Bc8GbwcfB88IjwlPCe8KfwrvC18L3wxvDQ8Nvw5PDt8PTw+vD+8QPxCPEO8RTxGvEh8SnxMvE78UXxT/FY8V/xZPFm8WjxavFs8XHxdvF78YDxg/GE8Ybxh/GJ8Y3xk/GZ8Z/xpfGq8bDxtfG88cPxyfHP8dTx1/Ha8dzx4PHl8evx8fH28frx/PH+8gDyBPIK8hLyHfIo8jPyPPJE8kryUPJV8lryX/Jl8mvycfJ48oDyifKT8p7yqvK28sLyzvLY8uHy6fLx8vnzAPMJ8xLzHfMo8zTzQPNL81TzXPNh82bza/Nx83nzg/OO85rzpfOw87nzwfPI89Hz2vPk8+7z+vQF9BD0G/Qm9DP0QfRQ9GD0b/R89Ib0jPSQ9JL0lPSY9KH0rvTB9Nb07fUD9Rf1J/U19T/1R/VO9VX1XfVm9W/1evWF9ZH1nPWm9bD1uPW/9cX1yvXP9dT12fXe9eP16PXt9fL1+PX+9gT2DPYT9hr2IfYn9i72NvZA9kr2VvZi9m/2e/aI9pT2oPat9rn2xvbT9uH27/b89wr3F/ck9zD3PPdI91X3Yfdu93v3iPeT9533pfet97P3u/fE99D33/fv9//4EPgf+Cz4OPhE+FH4YPhx+IT4mvix+Mn44fj4+Q/5JPk4+Ur5Wvlp+Xf5hfmT+aH5sfnC+dL54/nz+gP6Evoh+i/6PvpN+l76cfqF+pz6tPrO+uf6//sU+yb7NPtB+0v7Vftf+2n7dfuC+5H7ofux+8P71vvo+/z8D/wi/Df8TPxj/Hr8k/ys/MX83/z6/Rb9M/1R/XD9jv2s/cn95P3//hn+NP5P/mr+hv6h/r3+2/76/x3/RP9u/5n/xP/tABQAOABZAHoAmwC9AN8BAAEfATwBVwFvAYgBoAG6AdYB8gIPAi0CSwJqAosCrQLQAvQDGAM7A10DgAOkA8kD8QQbBEUEbQSUBLcE2AT3BRgFOgVgBYYFqQXIBdsF4gXaBcQFowV9BVcFNwUhBRgFHgUzBVQFgQW2BfMGNwaABs0HHQdtB7kH/gg4CGUIhAiVCJ0IoAiiCKcIsQi/CM8I3wjsCPUI+gj9CP8JAwkHCQkJBgj6COIIvgiRCGIINQgRB/gH7AfoB+kH6wfpB+QH3gfZB9kH3gfmB+0H7wfpB9sHyAe2B6oHqQe0B8kH5QgBCBsILwhACE4IWwhoCHUIfgiDCIAIdwhoCFYIQggtCBYH+wfbB7cHkAdqB0oHMgckByEHJgcwBz0HTAdcB2wHfQeMB5cHnAeZB5AHgwd0B2cHXwdaB1gHVgdTB04HSgdKB04HWQdoB3YHgAeDB3wHbgdeB1AHSQdJB1AHWQdgB2EHWwdPB0IHNQcsBycHJAciBx8HGAcOBwMG+AbuBuYG4AbcBtgG1QbRBs0GyQbEBrwGsgalBpMGfwZpBlQGQAYwBiUGHQYZBhgGGAYZBhgGFQYNBgAF7gXXBb4FpAWLBXUFYQVPBT8FMQUjBRgFEAULBQoFCgUMBQwFCgUEBP4E9wT0BPQE+AT+BQMFBQUABPYE5wTXBMgEvwS+BMQEzwTeBOsE9AT3BPQE7QTkBNsE1gTWBNkE4ATnBO0E8QTxBO8E7ATqBOgE6AToBOcE5QThBNwE2ATWBNYE2wTiBOsE9AT6BP8FAgUFBQkFDwUZBSYFNAVDBUsFVwVhBW0FeQWHBZUFowWwBbwFyAXVBeIF8wYGBhsGMgZKBmMGfAaWBq8GyAbfBvUHCAcZBykHOQdIB1kHaQd6B4kHlwelB7MHwgfVB+sIBAgeCDcITQhgCHAIfQiKCJYIpAixCL8IywjVCN8I5wjuCPUI+wj/CQIJAgkACP0I+gj5CPsJAAkGCQ0JFQkbCSAJIgkiCR4JFgkMCP8I8gjoCOII4gjpCPYJBgkXCSUJLgkxCTAJLAkmCSAJGwkYCRUJEwkTCRMJFQkaCSEJKQkzCT4JSQlTCV0JZgluCXYJfgmHCZEJnAmpCbcJxgnVCeMJ7wn5Cf8KAQoACfwJ9wnyCe8J8An3CgQKFwowCksKZwqBCpkKrQq+Cs0K3QrtCv4LEQskCzYLRwtWC2YLdwuJC50LsQvGC9gL6Av0C/4MBQwMDBQMHQwoDDIMPAxFDEoMTQxNDEsMRwxDDD4MOgw3DDQMMgwwDC8MLgwsDCkMJQwiDB4MGgwXDBQMEQwNDAgMAAv2C+sL3wvUC8sLxgvCC8ALvQu6C7YLsAuqC6ULoguiC6MLpQunC6gLqQurC68LtwvCC88L3QvqC/QL/AwBDAUMCQwNDBEMFAwVDBMMDQwHDAAL+Qv1C/EL7gvqC+QL3QvUC8sLwwu7C7ULsAurC6ULnwuZC5ELiAt+C3ILZAtSCz8LKgsWCwIK7wrfCtEKxgq8CrQKrAqlCp4KlwqNCoMKdwprCl8KVApJCkAKNQoqCh4KEQoFCfoJ8AnnCd4J1QnJCbwJrwmiCZcJjwmICYEJdwlpCVYJPwklCQoI8AjYCMAIqQiRCHcIXAhACCcIDwf7B+sH3QfQB8YHvQe3B7QHsgexB68HqAecB4kHcAdTBzQHFQb3BtsGvwaiBoEGXAYzBgcF2AWqBXwFTwUkBPoE0gSrBIYEYgQ/BBsD9wPSA6wDhANdAzcDEgLuAssCqQKFAmECOgISAegBvQGSAWcBPQEVAPAAzwCxAJYAewBfAEAAHf/2/83/pv+D/2b/UP9A/zH/Iv8O/vX+1v6z/oz+Zf4+/hf98f3L/aX9f/1Z/Tb9Ffz2/Nr8wfyp/JX8g/x1/Gn8YPxY/E78Q/w0/CH8C/vz+9j7vPud+3z7WPsy+wv65/rF+qj6kPp7+mj6VPo++iT6Bfni+bz5k/lq+T/5Ffjr+ML4mvh0+E/4KvgG9+P3wfeg94D3YvdG9yz3FPb99ub20Pa69qP2i/Zx9lb2OfYa9fn12fW59Zv1f/Vl9U71N/Uh9Qv09fTd9MT0q/SS9Hj0X/RG9C/0GPQC8+3z2fPF87Hzm/OG83HzXPNI8zjzKvMg8xjzEvML8wPy9/Ln8tTyvvKo8pTygvJz8mXyWfJM8jzyKvIV8f/x6PHT8b/xrvGg8ZTxifGA8XfxbfFi8VPxQPEr8RXxAPDv8OTw3/Dg8OXw6PDp8OPw1vDD8KzwlPB98GjwVfBF8DfwKfAd8BLwCvAI8AvwFvAn8D/wWvB28JLwqvC98Mzw1fDd8OPw6fDx8PrxA/EM8RPxGPEa8RrxGfEY8RfxF/EZ8RvxHvEi8SbxLPE08TzxRfFM8VLxVvFY8VjxV/FY8VrxX/Fm8XDxffGM8Z7xs/HK8ePx+/IR8iDyKPIn8hzyCvHz8dzxyPG78bfxvfHK8dvx7PH58f7x+/Hw8d/xy/G48afxmPGL8X/xcfFi8U/xO/En8RPxAfDw8OHw0fDA8K/wnPCJ8HbwZPBU8ETwNvAo8BvwD/AC7/bv6O/Z78fvtO+g74vveO9n71nvTu9E7zrvLO8a7wLu5e7D7p3udu5O7ibt/u3W7a7the1c7TftFez67Ofs2+zX7Nbs1uzV7NDsx+y97LLsq+yp7Kzss+y87MPsx+zF7L7stOyp7KDsm+yb7J7spOyr7LHstuy67Lzsv+zC7MbsyuzQ7Nbs3ezk7Ovs8uz37P3tAe0F7QrtD+0V7RztJO0t7TftQe1N7VrtaO137YXtk+2h7a7tuu3G7dLt3u3p7fTt/u4H7hDuGe4k7jDuPe5K7lbuYO5p7nDueO6A7onule6h7q3uue7D7szu1e7f7uru9u8E7xHvHu8p7zPvPO9E70zvVO9d72Xvbe9173zvhO+M75Xvne+m767vt+/B78zv2O/m7/XwA/AQ8BvwJPAr8DPwPPBF8E/wWPBg8GfwbfBz8HnwgPCJ8JLwm/Cj8KvwsvC58MHwyPDQ8Nfw3vDk8Orw8fD58QHxCvES8RnxHvEi8STxJvEp8S3xM/E68UDxRfFI8UrxTPFO8VDxVfFa8WDxZ/Ft8XTxe/GC8YnxkPGW8ZzxoPGk8afxq/Gw8bbxu/HA8cTxx/HJ8czxz/HU8dvx5PHt8fXx/PID8gjyDfIR8hfyHPIj8inyL/I28j7yR/JS8l7yavJ38oLyjPKU8pvyovKp8rHyuvLE8s/y2/Ln8vLy/fMI8xHzGfMh8yjzL/M38z/zSfNT813zaPNy83vzhfOP85nzpPOv87vzxvPS893z6PP09AH0EfQj9Df0SvRc9Gv0dvR99ID0gvSD9Ib0jfSX9KX0tvTI9Nr07PT89Qr1F/Uj9S71OPVC9U31V/Vi9W31d/WB9Yr1kvWZ9aD1pvWs9bL1uPW+9cX1y/XS9dn14fXp9fH1+vYB9gn2EPYX9h72J/Yx9jz2R/ZR9lv2ZPZt9nf2gvaO9pz2q/a69sn21/bk9vD2/PcI9xT3IPcs9zn3RfdR91z3Z/dx93r3hPeN95b3ofes97r3yffY9+f39/gG+BT4Ivgx+EH4Uvhl+Hj4i/ie+LL4xvjc+PH5CPkd+TL5RflW+WT5cPl7+Yf5lPmj+bP5xvnY+ev5/PoN+hz6LPo7+k36YPp2+o76p/rB+tr68fsG+xj7Kfs3+0T7Uftc+2f7cvt8+4f7k/ug+7D7wvvW++v8APwV/Cn8PfxR/Gf8fvyX/LP80fzw/RD9MP1Q/W/9jf2r/cf94v39/hf+MP5I/mD+ef6S/q7+zP7u/xT/Pf9p/5X/wf/qABEANQBXAHgAmAC3ANYA9AESAS4BSQFlAYEBnAG4AdIB6wIEAhsCNAJPAm0CjwK0AtkC/wMjA0YDZwOJA6wD0gP6BCQETQR1BJoEvwTiBQcFLQVUBXoFnAW1BcIFwAWvBZEFawVDBR4FBAT6BQEFHQVKBYgF0QYiBncGywcbB2cHrAfpCBwIRghlCHoIhQiKCIsIjQiTCKAItAjOCOsJBwkgCTQJQAlHCUkJRwlACTQJHwkBCNkIqAhzCEAIFAf1B+MH3wfkB+wH8wf0B+8H5gfbB9MHzgfNB84HzwfOB8kHwQe4B7AHrAesB7AHtQe7B8AHxAfKB9EH2gfmB/EH+gf+B/0H9wfuB+MH2QfOB8EHsQecB4IHZAdIBzAHIAcZBxwHJQcyBz8HTAdWB14HYwdmB2QHXAdPBzwHJgcQBv0G7wbnBuUG6QbvBvgHAwcQBx8HLwc9B0cHSwdJBz8HMgclBxoHFAcTBxYHGgcbBxgHEgcJBwAG+gb3BvYG9gb0Bu8G5gbZBsoGugasBp8GlAaLBoQGfgZ5BnMGbAZjBlgGSgY6BigGFQYEBfUF6QXhBdoF1QXQBcwFxwXDBcAFvAW5BbMFqgWeBY0FeAVhBUcFLQUTBPoE5ATSBMQEvAS5BLoEvgTBBMIEwAS8BLcEtQS1BLsExQTQBNoE3gTbBM8EuwSlBI8EfwR3BHgEgQSQBKEEsAS6BL8EvgS6BLUEsQSvBLAEswS3BLsEvgTABMEEwQTDBMUExwTJBMkExwTDBL4EugS4BLoEwATHBNAE2QTgBOYE6wTxBPkFBQUSBSEFMAU/BUoFVQVgBWwFeQWHBZUFowWvBboFxQXSBeEF8wYJBiEGOgZSBmkGfwaUBqgGvAbOBt8G7wb9BwkHFgckBzMHRQdYB2wHfweSB6QHtgfJB9wH8QgECBgIKQg4CEUIUgheCGwIewiJCJcIogirCLMIuQi/CMQIygjOCNEI0gjRCM8IzgjPCNMI2gjiCOoI8Qj1CPUI8QjqCOAI1QjKCL8Itwi0CLYIvAjICNYI5AjwCPgI/Aj8CPkI9QjyCPEI8QjxCPII8QjwCO4I7wjyCPkJAwkQCR0JKgk2CT8JRglMCVIJWAlgCWkJdAmACY0JmwmpCbYJwQnKCdAJ0QnPCcoJxAm+CbwJvgnHCdcJ7goICiUKQgpdCnQKiAqZCqkKuQrKCtwK7wsBCxILIgsxCz8LTgteC28LgguWC6kLuQvHC9IL2wvjC+sL8wv9DAgMEgwbDCIMJwwoDCcMJAwfDBoMFgwTDBEMEAwRDBIMFAwWDBcMGAwXDBUMEgwNDAcL/wv1C+kL3AvOC8ALsgunC58LmguYC5cLlguVC5MLkAuMC4kLhwuGC4ULhQuEC4MLgwuEC4gLkAubC6kLuAvGC9IL3AvjC+oL8Av1C/sMAAwDDAQMAgv/C/oL9QvwC+wL6AvjC90L1QvMC8MLuQuwC6cLoAuaC5QLjwuJC4ILeQtuC2ELUQs/CywLGgsHCvYK5grXCsgKuQqrCp4KkgqHCn4KdQprCmEKVwpLCkEKNgosCiIKFwoMCf8J8gnlCdkJzwnHCcEJugmyCakJnwmWCY0Jhgl+CXYJbAldCUkJMgkZCQAI6AjRCL0IqAiTCHsIYAhECCgIDAfxB9gHwAepB5MHfwdtB2AHVwdSB08HSwdGBzsHLAcYBwAG5gbMBrIGlwZ6BlsGOAYTBeoFvwWUBWoFQQUZBPIEzASnBIEEWwQ0BAwD5AO7A5MDawNFAyEC/wLeAr4CngJ8AloCNgIRAeoBxAGeAXgBVAEzARUA+QDfAMYAqgCKAGQAOgAM/97/tf+T/3n/Z/9Z/0z/O/8k/wX+4P62/o3+Zf4//hz9+f3W/bH9i/1k/T/9G/z6/Nv8wPym/I/8evxn/Fj8S/w//DP8JPwR+/r74PvD+6X7h/tr+0/7Nfsa+v764vrG+qr6j/p0+lr6P/oi+gT54vm9+ZX5a/k/+RL45fi6+JH4avhG+CT4A/fj98T3pfeH92r3T/c29yD3C/b39uT20Pa89qb2jvZ19ln2PPYc9fz12/W79Z31gPVm9U31NvUf9Qf07/TW9L30ovSH9Gz0T/Qz9Bbz+/Ph88rztfOj85PzhfN282bzVvNE8zPzI/MW8wvzAvL68vHy5vLZ8sfys/Kd8ojyc/Jg8k3yO/Io8hPx/PHj8crxsPGY8YPxcfFh8VXxSvFA8TbxK/Ec8Qnw8vDX8LvwofCN8IDwe/B98IXwjPCR8JDwh/B38GPwTfA38CTwFfAJ8ADv+u/17/Lv8u/17/rwA/AO8BvwKfA48EjwV/Bl8HPwf/CL8JXwn/Co8LDwuPDA8MfwzfDR8NTw1fDV8NXw1PDT8NTw1fDZ8N7w5PDr8PPw+/EC8QjxDPEP8RHxEvEV8RjxHPEh8SjxMPE58UTxUvFk8Xjxj/Gl8bnxyPHQ8c/xxfG08Z7xifF58XDxcfF78YvxnfGt8bbxuPGx8aPxkPF98WrxW/FN8UHxNfEn8RfxBPDw8NzwyPC18KTwk/CD8HPwY/BT8EPwMvAi8BHwAO/u79zvyu+576rvne+R74bve+9v72PvVu9I7zrvK+8d7w/vAe7y7uLu0e6+7qnuk+577mLuRe4k7gDt1+2p7XrtTe0j7QHs6OzZ7NPs0ezR7M7sx+y77Kvsm+yO7IbsheyK7JPsnuym7Kvsq+yo7KLsnOyX7JTsk+yV7Jjsm+yg7KTsqeyt7LPsuezB7Mns0ezZ7OHs6Ozt7PHs9Oz37Pns/e0C7QftDe0U7RztJO0t7TftQu1O7Vztau147Yftle2j7bDtvO3H7dDt2e3h7ent8u397gnuF+4j7i/uOe5B7knuUO5Z7mTucO597orule6f7qjur+647sHuze7a7ufu9O8A7wrvEu8Z7x7vIu8n7yzvM+8870XvUO9b72Xvbe9z73jvfO+C74vvlu+l77bvxu/V7+Hv6u/x7/fv/fAE8AzwFfAd8CXwLPAz8DrwQPBH8E7wVfBc8GPwavBz8HzwiPCT8J3wpvCt8LHwtfC48LvwwPDG8Mzw0fDW8Nrw3vDi8Ojw7/D38P7xBfEK8Q7xEvEV8RnxHvEl8SzxNPE88UTxS/FS8VjxXfFi8WbxavFt8XHxdPF58X3xgvGG8YrxjfGP8ZLxl/Gc8aPxq/Gz8brxwfHH8c3x0vHY8d7x5PHq8e/x8/H48f/yCPIT8iDyLvI78kfyUPJY8l7yZfJs8nTyfvKJ8pTynvKn8rDyuPLA8sry1fLh8u7y+/MH8xLzHPMk8y3zNfM980fzUvNd82rzd/OE85HznfOp87Tzv/PL89jz5vP39Ar0HvQy9EX0VfRi9Gv0cfR09Hf0efR99IP0i/SW9KT0s/TE9NT05fT19QP1EfUd9Sn1M/U99Uf1UPVY9V/1ZvVt9XT1fPWD9Yr1kvWa9aL1q/W09b71yfXT9d315fXt9fP1+vYA9gj2EfYc9ib2MPY69kP2S/ZU9l/2a/Z69on2mvap9rf2xPbP9tr25Pbv9vv3CPcU9x/3Kvc09z33R/dR91z3aPd094H3jvea96b3sve+98v32Pfm9/b4CPgb+C/4Q/hW+Gj4efiI+Jj4qPi6+M745fj8+RP5KPk5+Uj5VPlf+Wv5efmJ+Z35svnH+dz57/n/+g76Hfos+j76U/pr+oX6n/q5+tH65vr5+wn7GPsm+zT7QvtQ+137aft0+377iPuU+6L7svvF+9n77fwB/BX8KPw8/FP8bPyI/Kf8yPzq/Qv9K/1J/Wb9gv2d/bj91P3v/gr+JP48/lT+bP6E/p/+vf7f/wX/Lf9Y/4P/rf/V//0AIwBIAGsAjQCuAMwA5wEBARsBNAFPAWsBiAGkAcAB2QHwAgYCHgI4AlcCeQKfAsUC6gMNAy4DTANqA4oDrQPTA/wEJgRPBHgEoATHBO8FFgU9BWEFgAWWBaMFpAWbBYoFdQVgBVAFSQVPBWMFhwW6BfsGRQaVBuYHMwd5B7QH5AgKCCcIPQhOCF4IbAh6CIoInAiwCMcI4Qj9CRkJMwlJCVkJYwlmCWMJWQlJCTMJFwj2CM8Ipgh9CFYINggeCA8IBwgECAIH/wf5B+8H4gfUB8cHvAe0B64HqQekB6AHmweYB5UHkweSB5AHjQeIB4QHgQeAB4MHigeRB5cHmgeXB48HhQd7B3QHcAdwB3EHbwdoB1sHSAcyBx8HEgcOBxMHHwcuBz0HSQdPB08HSQc/BzIHIgcQBv4G7AbcBtAGyQbHBskGzwbXBuAG6AbwBvYG+gb7BvoG9gbxBuoG5AbfBt0G3QbeBt4G3QbaBtQGzwbKBsgGyAbKBswGzAbJBsEGtQanBpcGiAZ6Bm0GYAZTBkYGOQYsBiAGEwYHBfoF7AXdBc8FwgW4BbAFqwWmBaEFmwWRBYYFeQVuBWUFYAVeBV4FXgVbBVUFSAU2BR4FBAToBM4EtwSlBJkElASUBJcEmgScBJsElgSNBIQEfQR5BHsEgQSKBJIEmASXBI8EggRwBF4EUARHBEUESwRXBGcEdwSFBJAElwSaBJsEmgSZBJkEmgSbBJsEmwSbBJoEmwScBJ8EowSmBKcEpwSmBKMEogSiBKYErAS0BLwExATLBNIE2gTjBO8E/gUPBSAFMAU+BUYFUQVbBWYFcgV/BY0FmgWmBbIFvwXOBeAF9QYNBicGQAZYBm0GgQaSBqIGsgbBBs4G2gbkBu0G9gcBBw8HHwcyB0cHXQdyB4UHmAepB7oHygfbB+wH/QgOCB4ILgg+CE0IWwhnCHEIeQh/CIUIigiRCJgInwilCKkIqwirCKoIqgirCK8ItQi7CMAIwwjBCLsIswioCJwIkgiKCIUIgwiFCIsIlAifCKoItAi8CMIIxAjECMMIwwjFCMgIzAjPCNEI0QjPCM0IzAjPCNUI3wjsCPkJBgkQCRgJHgkjCSkJMAk5CUIJTQlYCWMJbwl6CYUJkAmYCZ4JoAmfCZsJlQmQCY8JkgmcCa0JwwncCfcKEgosCkMKWAprCn4KkQqkCrcKygrdCu4K/QsLCxgLJAsxCz4LTgteC3ALgQuSC6ILsAu8C8cL0gvbC+QL7Qv0C/oL/gv/C/4L+wv3C/IL7QvqC+cL5gvnC+oL7gvzC/oMAAwEDAcMBgwAC/YL6AvXC8MLrwucC4sLfQtzC20LaQtoC2gLaAtpC2kLaAtnC2ULZAtiC2ALXwtdC10LXgthC2gLcQt8C4kLlguiC60Ltgu+C8ULzAvTC9oL4QvmC+kL6wvrC+oL5wvjC98L2QvTC8oLwQu2C6sLoAuWC40LhguAC3wLdwtyC2oLYAtSC0ELLgsaCwgK9wrpCt0K0grHCroKrAqdCo0KfwpzCmkKYApXCk4KRAo5Ci4KIwoZCg4KAwn2CekJ2gnMCb8JtAmrCaQJngmXCY8Jhgl9CXMJawlkCV0JUwlHCTgJJQkPCPgI4gjOCLsIqAiVCIAIZwhNCC8IEQfyB9MHtAeUB3QHVAc3Bx4HCwb9BvYG8gbwBu0G5wbcBs0GuAafBoMGYwZABhsF9AXMBaQFfAVXBTUFFQT4BNsEvgSgBH4EWgQzBAkD3gOzA4kDYQM7AxgC9wLYArkCmgJ8AlwCPAIbAfkB2AG2AZUBdQFXATwBIgEJAO8A0QCuAIQAVQAj//T/y/+s/5b/iP9//3T/ZP9M/yz/Bf7b/rD+iP5j/kH+IP3//dz9uP2U/XD9Tv0t/Q787/zR/LP8lvx7/GP8T/w8/Cr8Fvv+++H7wPud+3v7W/tA+yn7FfsE+vP64PrK+rH6lPp1+lT6MPoL+eT5u/mQ+WT5NfkH+Nn4rfiE+F74PPgd9//35PfI9633kfd39133Rvcx9x73Dvb+9u/23/bN9rn2o/aK9m/2UvY09hT19PXU9bT1lfV39Vn1PPUf9QP05/TM9LH0lvR79F/0QvQk9Abz6PPM87PznvOM83/zc/Np817zUfNC8zLzIfMS8wTy+PLt8uPy2PLK8rnypfKO8nfyX/JH8jDyGPH/8eTxyPGr8Y7xc/FZ8UPxMPEg8RLxBfD68O7w4fDS8L/wqvCS8HrwZPBS8EfwQvBD8EfwTPBP8E7wSPA98DDwIfAU8Ajv/+/57/Tv8u/x7/Lv9O/27/nv/O/+7//v//AA8APwCfAS8B/wLvA98EvwVvBe8GTwaPBt8HPwevCC8IvwkvCX8JrwmvCY8JbwlfCW8JnwnvCk8KvwsfC38Lvwv/DC8MXwyvDO8NTw2vDf8OPw5/Dr8O/w9vEA8Q/xIfE38U3xYfFw8Xjxd/Fu8V7xS/E58SzxJ/Ep8TPxQfFQ8V3xY/Fi8VvxT/E/8S/xH/ER8QXw+PDr8N3wzvC98KvwmPCG8HTwYvBQ8D7wLPAb8Arv+e/p79nvyO+276TvkO9+72zvXO9O70PvOu8z7yzvJO8b7w/vAe7x7uDuz+7A7rLupu6b7pHuh+587m/uXu5J7i/uD+3q7b/tku1l7TztGu0B7PHs6ezm7OPs3ezS7MDsquyS7H3sbuxl7GXsa+x07H7shuyL7I3sjOyJ7IbshOyE7ITsh+yJ7I3skuyX7Jzso+yq7LPsvOzF7M3s1Oza7N/s4uzm7Ons7Ozw7PTs+ez/7QTtCu0Q7RftIO0q7TbtQ+1R7WDtcO1/7Y3tmu2l7a7ttu297cXtzu3Y7ePt8O377gbuD+4W7h7uJe4v7jruR+5V7mPub+557oLuie6Q7pjuoe6r7rbuwe7M7tXu3e7i7ufu6u7u7vLu+O8A7wnvFO8e7yjvMO817znvPO9A70fvUe9e727vfe+M75jvou+p77Dvt++/78fv0O/a7+Pv7O/07/zwBPAL8BHwFvAb8B/wJPAr8DXwQPBN8FrwZvBu8HPwdvB38HfwefB88H/whPCK8I/wlPCZ8J/wpvCu8LbwvvDF8Mzw0vDY8N/w5/Dv8PnxA/EN8RbxHvEl8SvxL/Ez8TbxOfE88UDxRPFI8UzxT/FR8VPxU/FU8VXxWPFd8WPxavFx8XnxgPGI8ZDxmfGi8arxsfG38bvxvvHB8cXxzPHW8eLx8PH98gnyEvIa8iHyKfIy8jzySfJV8mHyavJx8nfyffKD8o3ymfKo8rjyyfLX8uTy7vL38wDzCfMS8x3zKfM280LzT/Nb82fzdPOA843zm/Oo87bzxPPT8+Tz9fQH9Bn0KvQ69Ej0U/Ra9F/0YvRl9Gj0bPRz9H30ifSX9Kb0tvTF9NT04vTv9Pv1BvUQ9Rn1IfUp9TH1OPU/9Ub1TvVX9WD1afVy9Xz1iPWU9aD1rfW49cP1zPXT9dn13vXl9ez19fYA9gr2FfYf9in2M/Y+9kr2WfZp9nr2ivaY9qX2sPa59sP2zvba9uf29PcA9wv3FPcc9yT3Lvc590X3U/di92/3fPeH95H3m/el97H3v/fP9+H39fgK+B74MvhD+FP4Yvhv+H34jPie+LL4yfjg+Pb5Cvkc+Sr5N/lE+VP5Zfl6+ZL5q/nC+df56Pn3+gL6Dvoc+i76RPpe+nr6lvqx+sj62/rq+vf7BPsQ+x77LPs8+0v7Wftm+3H7fPuI+5X7pPu0+8b72fvs+//8FPwq/EP8X/x+/J/8wfzj/QP9If08/VX9bf2G/Z/9uv3V/fD+C/4l/j/+Wv51/pP+s/7X/v3/Jf9N/3T/mv/A/+YADAAyAFcAfACeAL0A2QDxAQgBHwE4AVIBbQGKAacBwgHcAfYCEQItAk0CbwKTArcC2gL6AxkDNgNUA3MDlQO5A98EBwQvBFYEfQSkBMsE8gUZBT4FXwV8BZMFpAWxBbwFxQXPBdoF5gX2BgoGJAZGBnEGpQbfBx0HWgeSB8EH5wgECBoILghCCFgIcwiSCLEI0QjtCQYJGwksCTsJSAlSCVkJWwlYCU4JPQkmCQwI7wjSCLgIoQiNCHwIbAhdCE0IOgglCA8H+QfjB9AHwQe1B6sHoweZB48Hggd1B2kHYAdaB1kHWgdbB1wHWgdVB04HSQdGB0cHSwdRB1UHVQdPB0QHNgcpByAHHQcgBycHLgcwBywHIgcTBwUG+Qb2BvoHBgcWByYHMQc1BzEHJQcUBwAG7AbbBs0Gwwa+BrwGvQa/BsMGxQbHBscGxQbABroGsgaqBqEGmQaTBpEGkQaTBpYGmQaaBpgGkwaNBogGgwaCBoQGhwaJBokGhAZ7Bm8GYgZVBkoGQQY5BjIGKQYdBg8F/wXvBd8F0QXFBbkFrgWiBZYFigV/BXcFbwVpBWMFWwVRBUUFOAUrBSAFGQUVBRMFEwUSBQ4FBgT5BOgE1AS/BKsEmQSNBIUEgwSDBIYEiASIBIQEfARxBGQEWARPBEoESQRLBE8EUgRUBFIETQREBDoEMAQoBCQEJQQsBDYERARTBGIEbwR5BIAEhQSIBIkEigSKBIkEiASFBIQEggSCBIMEhQSHBIgEiASJBIkEigSNBJMEmwSjBKwEtQS8BMQEzQTYBOYE9gUJBRsFLAU6BTwFRgVPBVkFZAVyBYEFkQWiBbMFxQXZBe4GBgYeBjcGUAZmBnsGjQaeBq4GvQbLBtcG4gbpBu8G9Qb7BwMHDgcdBy4HQAdTB2QHdQeEB5MHogeyB8IH1QfnB/oIDAgcCCsINwhACEcITQhSCFkIYAhqCHQIfQiFCIoIjAiMCIsIiwiNCJAIlAiXCJcIkwiMCIEIdQhpCF8IWAhUCFMIVQhYCF4IZQhtCHYIfgiGCIwIkQiUCJcImgieCKIIpwirCK0IrQisCKoIqwiuCLUIvgjJCNQI3gjmCOwI8Qj2CP0JBQkPCRoJJQkwCTsJRQlPCVkJYwlrCXEJdAlzCXAJawloCWcJbAl2CYYJmgmxCcoJ4wn8ChQKKwpBClYKawp/CpIKowq0CsUK1ArjCvEK/gsKCxYLIgswCz4LTgtgC3ILhQuWC6YLswu+C8YLzQvSC9UL1gvVC9ML0AvMC8gLwwvAC70Luwu7C74LwwvKC9ML3QvmC+sL7AvmC9oLxwuwC5cLfwtpC1gLTAtECz4LOws6CzgLOAs3CzgLOQs6CzwLPQs+Cz4LPwtBC0QLSQtQC1kLYwttC3YLfguGC4wLkwuaC6ELqQuyC7oLwQvHC8sLzwvRC9EL0QvOC8kLwgu5C60LoQuTC4YLegtwC2gLYwtfC10LWgtVC00LQQswCxsLBgrxCt4K0ArFCr0KtgquCqUKmQqMCn8KcwppCmIKWwpTCksKQQo1CigKGwoPCgQJ+QntCeAJ0QnBCbEJowmWCYoJgAl1CWoJXglSCUcJPQk2CTEJKwkkCRoJDAj7COcI0wi/CKwImQiGCHIIWwhCCCYICQfqB8sHqgeIB2QHQAccBvoG3QbFBrUGqwalBqMGoAaaBpAGfwZnBkkGJgX/BdUFqwWBBVkFNQUVBPkE4ATLBLYEoQSJBG4ETgQrBAUD3QO0A4wDZQM/AxoC9wLWArUClQJ3AloCPQIhAgQB5wHKAawBjgFzAVkBQQEqARIA9QDTAKsAfQBMAB3/9P/T/7v/qv+e/5P/g/9u/1P/Mv8O/ur+xv6l/oT+ZP5C/iD9/f3a/bj9lv1z/VD9K/0F/N78uPyW/Hn8YPxL/Db8IPwE++P7vvuV+277TPsv+xr7C/r/+vP65vrT+rv6nvp7+lP6KPn5+cn5lvli+S34+vjJ+Jz4dPhQ+DD4Fff89+T3zfe19533hPdt91f3Q/cy9yT3GPcN9wL29vbn9tb2wvar9pL2dvZX9jf2FfXz9c/1q/WH9WT1QfUf9P703vTA9KL0hvRp9E30MfQU8/fz2/PB86jzk/OB83LzZvNa803zQPMx8yDzEPMA8vHy4/LW8sryvPKs8pnyg/Js8lPyOvIh8gbx6/HN8a7xjvFt8U3xMPEX8QHw7/Dg8NPwx/C68K3woPCR8ILwc/Bl8FjwTfBE8D/wPfA88DzwPPA68DXwMPAp8CLwHfAZ8BbwFPAT8BHwDvAL8AnwBvAE8ALv/u/47/Dv6O/g79vv2+/f7+jv8+//8AjwDvAQ8A/wDvAP8BPwHPAp8DjwSPBU8FzwYPBf8F3wWfBW8FbwWPBc8GHwZvBr8G/wcvB18Hrwf/CF8I3wlPCa8J/wofCj8KXwqPCu8LrwyvDe8PXxC/Ef8SzxMfEu8SPxEvEA8O7w4fDb8Nzw4vDt8PnxA/EJ8QvxBvD+8PLw5PDV8MbwuPCq8Jzwj/CA8HHwYvBR8D/wLfAa8AXv8e/c78jvte+k75Tvhu9572vvXe9N7zvvKO8V7wTu9e7p7uDu2e7T7svuwe607qbul+6K7n/udu5v7mnuY+5c7lPuR+457inuFe387d/tvu2Z7XLtTu0v7RftB+z97Pjs8+zr7N3syOyu7JLseOxj7FXsT+xP7FTsXOxj7Grsbuxx7HLscuxy7HPsdOx17Hfseex97ILsiOyP7JfsoOyo7LDst+y97MPsyOzN7NHs1uzb7N/s5Ozo7O3s8uz37P3tBO0M7RXtIO0s7TntR+1W7WTtce187Ybtju2V7ZztpO2t7bftwu3N7dft4O3o7e/t9+4A7gvuFu4i7i/uOu5E7kzuVO5b7mLuae5v7nfufu6F7o3ulO6b7qLuqO6t7rPuuO6+7sXuze7W7t/u5+7v7vXu+u8A7wbvDu8X7yHvLO8370LvTe9X72Hva+9274Dvi++U753vpu+v77jvwe/J79Hv1u/a793v3+/i7+jv8O/78AfwFPAe8CbwLPAv8DHwM/A28DnwPfBC8EfwS/BQ8FTwWvBh8GjwcfB68IPwjPCW8J/wqvC08MDwy/DW8ODw6fDx8Pfw+/D+8QHxBfEJ8Q7xE/EZ8R7xIfEj8SLxIfEf8R7xHvEg8STxKPEu8TTxO/FE8U3xWPFj8W/xefGA8YbxivGN8ZHxlvGf8anxtPG/8cnx0vHZ8eHx6fH08gLyEfIh8i/yO/JE8kvyUvJZ8mLybfJ78orymfKm8rPyvvLJ8tXy4fLv8vzzCvMW8yDzKvMz8z3zSPNV82TzdfOG85bzpvO088Lz0PPf8+3z/fQM9Br0JvQw9Dn0QPRG9Ez0U/Rb9GT0b/R59IT0j/Sa9KX0sPS79Mf00vTd9Of08PT59QL1CvUT9Rz1JfUu9Tf1QfVL9Vf1Y/Vw9X71i/WY9aT1rfW09bv1wfXI9dD12vXl9fD1+/YG9hH2HPYo9jX2RPZU9mP2cfZ+9or2lPaf9qr2t/bE9tL23/bq9vT2/fcG9w/3Gvcn9zX3Q/dQ91z3Zfdu93f3gfeN95z3rffB99X36Pf7+Az4G/gp+Df4RPhT+GP4dPiI+J34s/jJ+N347/j/+Q75Hfku+UL5Wflz+Y/5qvnC+db55Pnv+fj6AfoO+h/6NfpP+mz6iPqh+rf6yfrX+uP67vr6+wf7F/sn+zf7R/tW+2T7cft++4v7mfuo+7j7yfvc+/D8Bfwd/Df8VPxz/JP8s/zS/PD9DP0m/T/9WP1w/Yj9ov28/db98f4N/in+SP5p/oz+sv7a/wP/K/9S/3f/mf+7/9v//QAgAEQAaACLAKwAyQDkAPwBEgEpAUEBWwF3AZUBsgHQAe0CCgIoAkYCZgKGAqYCxwLnAwgDKQNKA20DkAOzA9UD9wQXBDcEWAR8BKIEzAT4BSUFUQV8BaUFzQXzBhkGPQZeBnoGkQahBqsGsga7BskG3wcABykHWAeJB7cH4AgCCB8IOQhTCHAIkAixCNMI8QkJCRoJJQkqCS4JMQk1CTgJOgk2CSsJGAj+CN8IvwijCI8Iggh8CHoIdwhvCF4IQggdB/MHyAejB4YHdAdsB2sHawdqB2QHWQdKBzoHLQckByIHJAcoBysHKgclBxwHEgcKBwYHBgcJBw4HEQcQBwoHAAb2Bu4G6gbrBvEG+Ab+Bv8G+wbyBucG3gbZBtoG4QbrBvYG/gb/BvkG7AbaBsYGswakBpkGlAaTBpMGlQaVBpMGjwaKBoIGewZyBmsGYwZcBlYGUgZQBlAGUgZUBlYGVgZTBk4GRwZABjoGNwY2BjcGNwY2Bi8GJQYWBgYF9wXrBeIF3gXbBdkF1QXNBcMFuAWsBaIFmwWVBY8FiAV/BXIFYgVQBUAFMQUmBR0FFwUTBQ4FCQUCBPkE8ATnBN0E1ATMBMMEugSwBKUEmQSNBIIEeARwBGoEZwRmBGYEZgRkBGEEWwRTBEoEQQQ4BDEELQQqBCoEKgQrBCwEKwQnBCEEGgQRBAoEBAQDBAcEEAQcBCsEOgRIBFQEXgRlBGsEbwRyBHQEdQR1BHUEdARyBHEEcARwBG8EbwRvBHAEcgR3BH4EhwSRBJwEpgSwBLkExATQBN8E7wUBBRMFJAUxBTUFPgVHBVIFYQVzBYgFoAW6BdMF7AYEBhsGMQZGBloGbQZ/BpAGoAavBr4GzQbbBucG8Qb4Bv4HAgcGBwoHEQcbByYHMwdBB04HWwdnB3MHfweMB5sHqge7B8wH3AfrB/cIAggKCBIIGggiCCwINwhDCE4IWAhfCGMIZQhmCGcIaghuCHIIdQh1CHAIZghZCEoIPAgxCCkIJgglCCYIKAgrCC4IMwg6CEIITAhWCF8IZghsCHAIcwh3CHsIfwiDCIYIiAiJCIsIjQiRCJgIoQiqCLMIuwjACMUIyQjOCNUI3wjqCPYJAgkNCRcJIAkqCTMJOwlCCUcJSAlGCUEJPQk6CToJQAlLCVsJcAmHCZ8JuQnUCe4KCQoiCjkKTgpgCnAKfQqLCpkKqAq5CsoK3ArrCvkLBgsRCx0LKgs5C0oLXAtuC4ALjwucC6ULrAuvC7ALrwusC6gLpAufC5sLmAuWC5QLkwuTC5ULmAueC6cLsQu8C8MLxgvCC7YLowuMC3MLWwtHCzgLLgsnCyILHgsaCxYLEgsRCxELFAsZCx8LJAsoCysLLgsyCzcLPwtIC1ELWwtiC2cLawttC3ELdQt8C4ULjwuaC6MLqwuxC7ULuAu5C7oLuQu2C7ELqAudC48LfwtwC2ELVAtLC0QLQAs+CzwLOgs1CywLHwsNCvkK4wrPCr8KsgqqCqQKngqYCo8KhQp7CnEKaQpkCmAKXQpYClAKRAo3CicKGAoKCf4J8wnnCdoJygm4CaQJkAl9CWsJWglKCTwJLQkgCRQJCwkECQAI/Qj5CPII5wjZCMgItAihCI4IfAhqCFYIQAgoCA4H8gfVB7cHmQd6B1kHNQcQBuoGxQakBogGcgZjBlkGUgZKBj8GLwYaBf8F3gW7BZUFbwVJBScFBwTqBNAEuQSkBJAEewRlBE0EMgQVA/YD1AOxA40DaANCAxsC9QLPAqsCiAJoAksCMQIXAf4B5AHJAa4BkwF5AWIBTQE6AScBEQD2ANYAsQCHAFsAMQAL/+v/0P+6/6b/k/+A/2z/V/9A/yn/Ef73/tr+u/6Z/nX+T/4o/gD91/2q/Xv9Sv0X/Of8u/yW/Hn8ZPxT/EP8LvwT+/H7yvug+3f7VPs5+yX7F/sL+v/67/rZ+r36m/py+kX6E/nd+aX5a/kx+Pj4w/iT+Gr4SPgs+BT4APfs99j3wver95L3evdk91D3QPcz9yr3JPce9xj3EPcG9vf25fbP9rX2mPZ29lL2LPYD9dr1sfWI9WH1O/UX9PT00vSw9I/0bfRN9C30DvPx89bzvfOl85DzfPNp81fzRvM18yTzE/MC8vHy4PLQ8sHysvKj8pPygvJu8lnyQvIq8hHx+PHf8cXxqfGL8WvxSvEo8Qnw7PDV8MLws/Cn8JzwkfCF8HfwafBa8E7wQ/A88DjwNvA38DnwOvA78DvwOfA28DLwLvAt8C3wL/Az8DfwOvA78DrwNvAw8CjwIPAY8A/wBu/77/Dv5e/a79Dvyu/G78TvxO/D78Dvu++z76rvpO+h76Tvru+/79Pv6O/88AvwFPAY8BjwFfAS8BDwEPAT8BfwG/Ag8CTwJ/Aq8C7wM/A48D/wR/BN8FPwV/Ba8FzwYPBm8HDwf/CR8KbwvPDP8N7w5/Dn8OHw1PDD8LDwn/CS8IrwiPCM8JXwn/Cq8LHwtfC08K7wo/CV8IbwdvBn8FnwSvA98C7wIPAR8AHv8O/f78zvuO+k747vee9m71XvRu867zDvJu8a7wru9+7h7snus+6g7pHuhu597nbub+5m7lzuUe5H7j7uN+4y7i7uKO4h7hjuDe4C7fft7O3f7dDtvu2m7Yrtau1L7S7tF+0H7P3s9uzw7Ofs2ezG7K7slex87GfsV+xN7EjsSOxL7E/sU+xX7FrsXexe7F/sX+xf7F/sYOxi7Gfsbex07Hvsg+yK7JHsl+yd7KPsqeyw7LfsvuzE7MnszuzS7NXs2eze7OPs6Ozu7PXs/e0F7RDtG+0o7TXtQe1N7VftX+1m7W3tdO187YbtkO2b7aXtru237b/tx+3O7dbt3e3l7e3t9O387gTuDO4U7hvuIu4o7izuMO407jnuQO5I7lHuWu5j7mvuce537nzugu6K7pPune6o7rLuvO7D7sruz+7U7tnu3+7l7u3u9u8B7wzvGe8l7zDvO+9D70vvU+9c72XvcO9874fvkO+X75vvne+e76Dvo++p77Hvu+/F78/v2O/f7+Xv6+/w7/Xv+u//8APwBvAJ8A3wEfAW8B3wJvAw8DvwRvBS8F3wafB18IHwjvCZ8KPwrPCz8LjwvPC/8MHwxfDK8NDw1/Df8Ofw7fDx8PPw8/Dz8PLw8vDz8PTw9vD58Pzw//EE8QvxFPEe8SrxNvFB8UrxUvFY8V/xZvFv8XfxgfGJ8ZHxl/Gd8aPxrPG48cbx1/Hp8fvyCvIY8iPyLfI28kHyTPJY8mTycPJ88ojylPKh8q/yvvLO8t7y7PL38wDzB/MP8xfzIvMv8z/zUfNj83XzhfOU86HzrvO788fz1PPg8+zz9/QB9Av0FfQf9Cr0NfRB9Ez0VvRg9Gj0b/R29H70h/SQ9Jr0pfSv9Lr0xPTO9Nf04fTs9Pb1APUK9RT1HvUo9TP1P/VM9Vn1Z/V09YD1i/WU9Zz1pfWu9bf1wvXO9dr15fXx9fz2B/YT9h/2LPY69kf2VPZg9mv2d/aD9pD2nvar9rj2xPbP9tn24/bu9vr3CfcY9yb3M/c990T3SvdQ91j3Y/dy94T3mfeu98L30/fj9/D3/PgI+BX4JPg0+Ef4Wvhv+IT4mPis+L74z/jg+PH5BPkZ+TL5Tflp+Yb5oPm2+cf51Pne+ef58foA+hP6KvpE+mD6evqR+qX6tvrE+tH63frr+vn7Cfsa+yv7O/tL+1r7aPt2+4T7kvug+677v/vR++X7+/wT/C78Sfxl/IH8nvy6/Nf88/0Q/Sz9SP1k/X79mP2y/cv95f4A/h7+Pv5i/on+sv7d/wj/Mf9Y/3z/nP+7/9j/9gAUADUAVgB5AJoAugDXAPIBCgEiATkBUgFsAYkBpgHFAeQCAgIfAjsCVwJ0ApECsALRAvUDHANDA2oDjwOxA88D6gQDBB4EOwReBIgEuQTvBSkFZAWeBdcGDQZBBnMGoQbJBukHAAcNBw8HCwcEBwEHBQcWBzIHWAeGB7YH4wgLCC4ISwhlCH4IlgitCMQI1wjlCO0I8QjxCPEI8wj4CQAJBwkKCQUI9gjdCLwIlwh0CFcIQwg5CDUIMQgpCBUH9gfKB5YHYgcyBw8G+wb1BvsHBwcUBxwHHQcZBxAHBwcBBv8HAgcGBwoHCgcEBvkG6wbeBtQGzwbPBtQG2wbgBuIG4QbcBtYG0gbQBtEG1AbXBtkG2AbTBssGwga6BrUGsgayBrQGtAaxBqsGoQaUBoYGeQZvBmcGYwZgBl0GWQZSBkoGQAY1BiwGJQYgBh4GHgYfBiEGIgYkBiUGJgYmBiQGIgYdBhYGDwYHBgAF+wX3BfQF8AXpBd8F0gXCBbEFoAWSBYcFfwV6BXQFbgVoBWEFXAVZBVkFXAVgBWMFYgVcBU8FPAUlBQ0E9wTnBN0E2QTaBN4E4ATgBNoE0ATBBK8EnQSNBH8EdARsBGYEYQRcBFcEUQRKBEQEPgQ6BDcENAQzBDIEMQQvBC0EKwQnBCMEHwQaBBcEFAQTBBMEEgQQBAwEBgP9A/MD6wPlA+MD5gPuA/kEBQQSBB4EKQQyBDsERARNBFQEWwRfBGIEYwRjBGMEYQRgBF8EXgReBF4EYARkBGoEcwR+BIoElwSkBLEEvgTNBNwE7QT/BQ8FHgUrBTYFQgVPBWAFdgWQBa8F0AXyBhMGMAZJBl4GbwZ9BokGkwadBqYGsAa5BsMGzAbWBt8G5wbvBvYG/AcCBwgHDgcWBx4HJwcxBzoHQgdLB1MHXAdlB28HegeGB5MHoAetB7gHwwfOB9gH4wfuB/sIBwgTCB0IJQgrCDAIMwg4CD4IRQhMCFEIUghNCEIIMggfCA4H/wf1B/EH8AfyB/UH+Af7B/4IAwgKCBQIIAgrCDYIPQhDCEYISQhMCFEIVghdCGMIZwhqCG0IbwhzCHgIgAiICJAIlgibCKAIpAiqCLIIvAjICNUI4QjsCPYI/gkFCQwJEgkWCRgJFgkTCQ0JCAkECQUJCwkWCSYJOglRCWsJhgmjCcIJ4Qn+ChkKMApDClEKXApnCnIKgAqRCqUKuQrMCt0K6wr3CwILDAsYCyYLNgtGC1cLZwt1C4ALiAuMC40LiwuGC4ALegt1C3ELbgttC20LbAtsC2sLbAtvC3ULfguJC5QLmwucC5YLiQt3C2MLTws/CzMLKgslCyELHAsXCxMLEAsQCxMLGQshCygLLQswCzALLwsvCzALNQs8C0QLTAtSC1YLVwtYC1oLXgtmC3ALfQuJC5QLnQuiC6YLpwuoC6cLpguiC5sLkQuEC3ULZQtUC0ULOQswCykLJQsjCyALHAsWCwwK/wrvCtwKygq5CqwKogqbCpYKkAqJCoAKdgpsCmQKXwpcClsKWgpXClAKRAo1CiQKEwoDCfUJ6AnbCcsJuQmjCYsJcglaCUQJMAkeCQ8JAQj0COkI4AjaCNUI0AjLCMUIuwiuCJ8Ijwh+CG4IXghNCDsIJggOB/MH1ge4B5sHfgdgB0IHIQb9BtcGsAaKBmgGSgYyBh8GEAYDBfUF5AXQBbkFnwWDBWcFSgUvBRQE+QTgBMcErgSWBH4EZgROBDYEHQQDA+cDyQOqA4gDZAM+AxYC7gLFAp4CegJZAjsCIAIHAe8B1gG9AaMBiQFwAVoBRgE1ASUBFwEGAPIA2wC/AJ8AfABYADMAEP/w/9T/vP+p/5v/kf+I/3//c/9j/03/MP8O/uf+vP6N/ln+IP3i/aD9W/0Y/Nv8qPyB/Gf8VvxK/D78LPwS+/H7y/uk+4H7ZftQ+0L7Nfso+xX6/Pra+rH6gvpQ+hv55fmt+XT5O/kC+M34nfh0+FL4OPgk+BT4Bff09+H3yvew95T3efdh9033P/c29zL3Mfcx9zD3Lfcm9xn3B/bv9tH2r/aH9l32MPYB9dL1pPV49U/1KPUD9OD0vPSZ9HT0TvQo9ATz4vPC86bzjvN482PzUPM88ynzFfMA8uzy2PLE8rLyn/KO8n3ybPJa8kfyM/Id8gbx7vHW8b7xp/GQ8XnxYfFH8SzxD/Dy8NbwvfCo8JjwivCA8HXwavBd8E/wP/Aw8CPwGfAS8A/wDvAQ8BLwFvAY8BrwHPAe8CDwI/Ao8C3wNPA78EHwRvBI8EfwQ/A78DLwJvAa8A7wAu/17+nv3e/Q78LvtO+l75fvh+9372fvV+9J7z3vNO8x7zXvPu9O72LveO+O76HvsO+778Hvw+/D78Pvw+/E78jvzO/Q79Xv2e/c79/v4+/n7+zv8u/47/3wA/AI8AzwEfAY8CHwLfA88E3wX/Bv8H3wiPCM8IzwhfB68GzwXPBN8EDwN/A08DbwPfBG8FDwWPBc8FzwV/BP8EPwNvAo8BnwC+/87+zv3e/N777vsO+i75Xvhu9272PvTu857yTvEe8B7vTu6e7e7tDuv+6q7pPue+5l7lLuRO447i/uJu4c7hHuBe357e/t5+3h7dzt1u3O7cXtu+2y7artpO2g7Zvtle2K7XntYu1I7SztE+z+7O7s4+zc7NXszezC7LTso+yR7H/sb+xi7FfsT+xK7EfsRuxG7EfsSexK7EvsS+xK7ErsSuxM7FDsVexc7GPsaexv7HXseex/7IXsjeyV7J7spuys7LHstey47LrsvezA7MXsyezO7NPs2ezf7Ofs8Oz67QbtEe0c7SXtLu017TztRO1M7VbtYO1r7XXtf+2I7Y/tlu2b7Z/to+2m7antrO2x7bftv+3I7dHt2e3f7ePt5u3o7evt8O337gDuCu4V7h7uJ+4u7jTuOu5C7kvuVu5j7m/ue+6E7ozuku6W7pjum+6f7qPuqe6w7rnuw+7N7tbu3+7m7u7u9u7/7wnvFu8l7zTvQu9O71fvXe9g72LvY+9l72nvbu91737vh++Q75nvou+q77Hvue+/78Tvye/N79Dv1O/Z797v5u/u7/jwBPAQ8BzwKfA28EPwUPBc8GbwbvB08HjwevB78HzwffCB8Ifwj/CZ8KPwrfC28L3ww/DH8Mvwz/DR8NTw1fDV8NTw0/DS8NTw1/De8Obw8fD88QjxE/Ed8SjxMvE88UbxT/FX8V7xZPFp8XDxePGD8ZDxoPGx8cPx1PHj8fLx//IM8hnyJvIz8kDyTPJY8mTycPJ+8o3ynPKs8rvyyfLU8t7y5/Lw8vvzB/MV8yTzNPNE81TzY/Nx83/zjPOa86fzs/O988fzz/PX89/z6PPz9AD0DfQb9Cj0NPQ/9Ej0UfRZ9GL0a/R19H/0iPSQ9Jn0ofSp9LL0vPTG9NH03fTn9PL0/PUG9RH1HPUp9Tf1RPVS9V71avV09X/1ifWU9aD1rPW59cX10fXc9ej18/X/9gr2FvYi9i72OvZF9lL2XvZs9nr2h/aU9qD2qvaz9r72yfbX9ub29/cH9xX3IPcn9yv3Lvcz9zr3RfdU92f3eveO96D3sPe998r31/fm9/X4BvgY+Cv4PfhQ+GL4dPiG+Jn4rfjB+Nf47vkH+SH5O/lV+W35gvmT+aH5rPm3+cX51fnr+gT6IPo9+lj6cfqG+pj6p/q1+sP60vri+vL7A/sT+yL7MftA+0/7Xvts+3v7ifuY+6b7tvvI+9z78/wM/Cb8Qfxb/HT8jvyo/MP84f0A/SD9Qf1g/X79mf2z/cv95P3//hz+Pf5g/of+r/7Z/wH/Kf9P/3P/lP+z/9D/7QAKACgARwBnAIgAqQDIAOUBAAEYATABRwFgAXsBlwG1AdQB8gIPAisCRgJhAn4CnAK9AuIDCQMxA1gDfQOeA7sD1gPxBA4EMARaBIwExgUFBUgFjAXNBgoGQQZzBqAGxwboBwMHFwcjBygHJwckByIHJgcyB0kHageSB74H6QgQCDAISAhbCGgIdAh/CIoIlAicCKEIpAikCKQIpgirCLQIvwjJCM4IyQi5CJsIdAhHCBoH8QfQB7YHoweQB3kHWgcyBwMG0galBoEGbQZoBnEGhAacBrEGwQbLBs0GzAbKBsoGzAbQBtQG1wbWBtAGyAa/BrcGsgayBrUGuwbBBsUGxgbEBr8GuQazBq4GrAarBqsGqganBqIGmwaRBocGfgZ1Bm4GZwZiBl0GWAZSBk0GRwZCBj4GOQY0Bi4GJgYbBhAGBAX4Be8F6QXmBeYF6QXsBe8F8QXyBfIF8QXxBfAF7gXsBegF4wXcBdQFywXCBboFsgWqBaEFlwWLBX4FbwVfBU8FPwUwBSIFFQULBQMFAAUBBQYFDwUZBSEFJQUjBRkFCATyBNkEwgSvBKQEnwShBKYEqgSsBKgEngSOBHsEZwRWBEgEQAQ7BDoEOQQ4BDUEMAQpBCEEGQQTBA4ECwQKBAoECwQMBA4EDgQNBAsEBwQCA/0D+AP1A/MD8wPyA/ED7gPpA+MD3APWA9MD0gPVA9oD4APoA/AD+QQCBA0EGAQkBDAEOgRCBEgETAROBE8EUQRSBFQEVQRWBFcEWARbBF8EZwRwBH0EiwSaBKoEugTLBNwE7QT+BQ4FHQUqBT0FUAVmBYAFnwXBBegGDwY1BlgGdQaMBp0GqQaxBrcGuwa+BsEGxAbFBscGyAbKBs0G0AbWBtwG4wbqBvIG+QcABwcHDQcUBxoHIQcoBy4HNQc9B0UHTgdYB2MHbwd6B4YHkgedB6gHswe/B8oH1gfhB+oH8gf6CAIICggTCB0IJggsCC0IJwgbCAkH8wfeB8sHvwe4B7gHuwfAB8YHygfOB9MH2QfiB+wH+AgCCAsIEAgUCBYIGQgeCCUILwg4CEEIRghKCEsISwhNCFAIVQhcCGMIaQhvCHQIegiBCIsIlwilCLIIvwjJCNEI2AjdCOEI5QjpCOoI6QjmCOAI2gjUCNII1AjcCOgI+QkOCSYJQQlgCYAJownFCeUKAgoaCi0KPApJClQKYQpwCoIKlAqmCrgKxwrUCt8K6gr1CwILEQsgCzELQQtQC1wLZgtsC24LbAtmC18LWQtTC08LTQtNC00LTAtKC0YLQwtDC0YLTwtbC2kLdwuAC4QLgAt2C2kLWgtNC0QLPgs7CzoLOgs7Cz0LQAtGC04LVwtfC2MLYwtdC1QLSQs/CzkLOAs8C0ILSQtPC1ILUgtSC1ILVAtaC2MLbgt6C4ULjguUC5cLmQuZC5gLlQuPC4YLegtsC1sLSws7Cy4LJAscCxgLFAsRCw4LCQsBCvYK6QrZCskKuQqrCp8KlgqPCooKgwp8CnMKaQpgClkKVApSClIKUgpPCkkKPQovCh0KCwn5CegJ2AnHCbUJnwmHCWwJUgk4CSEJDAj6COoI2wjOCMIIuAivCKgIogicCJYIjgiDCHcIaghdCFAIQggzCCEIDAfzB9cHuQeZB3oHWwc9Bx8HAQbhBr8GnQZ7BlsGQAYoBhQGAwXzBeMF0QW9BacFkAV5BWIFTAU1BR8FCQTyBNoEwQSoBI8EdQRcBEIEJwQLA+0DzQOrA4YDYAM5AxAC5wK/ApgCdAJTAjQCGQIAAegB0QG5AaEBiAFvAVcBQAEtAR0BEQEHAQAA+ADwAOMA0gC8AKAAgQBhAEMAKQAWAAoABAACAAD/+//w/97/xf+l/37/Uf8d/uD+mv5L/fX9nf1I/Pz8vfyP/HD8XPxM/Dz8J/wK++j7xPuk+4r7eftv+2j7YPtP+zT7Dfrb+qH6ZPon+ez5tPl/+Uz5Gvjr+L/4l/h2+F34Svg8+DL4J/gZ+Af38PfV97f3mveA92r3W/dR9073T/dR91L3UPdI9zr3JPcH9uX2vPaP9l/2LfX69cj1l/Vo9T31FfTv9Mv0qPSE9GD0PPQX8/Pz0fOy85bzfPNm81DzPPMo8xTzAPLr8tXywPKp8pLye/Jk8kzyNvIg8grx9fHg8crxtPGf8YrxdfFi8VDxPvEs8RnxBPDv8NrwxfCy8KHwkfCD8HbwafBc8E3wP/Ax8CTwGfAP8AfwAO/67/Tv8O/v7+/v8u/37/7wBvAN8BPwF/Aa8BzwHPAc8BrwF/AS8AvwAu/37+vv3u/S78bvue+s75zvie9z71rvQe8n7xDu/O7t7uPu3u7d7uHu6O7y7v/vD+8h7zTvRe9U72DvZ+9r72zvbO9t727vcu9373zvgu+H74vvj++S75bvm++h76fvru+077vvwe/I79Dv2e/k7/Hv/vAL8BjwI/Ar8DDwMfAu8CbwG/AO7//v8u/p7+Pv4u/m7+3v9O/67/7v/u/87/bv7+/m79vvzu+/76/vne+L73rvbO9g71XvTO9A7zLvIO8L7vTu3e7J7rfuqe6c7pDugu5x7l7uSu427iTuFe4H7fvt7u3g7dHtwO2w7aHtlO2K7YHteO1w7WbtXe1V7U/tTO1L7UztTO1J7UHtM+0h7Qzs9uzh7NDswuy47K/sqOyh7JnskeyI7H/sduxt7GTsWuxR7EnsQ+w+7DzsO+w77DzsPOw77DrsO+w87D/sQ+xI7E3sUuxW7FrsXuxj7GnscOx57IHsieyO7JLslOyW7Jfsmuyd7KLsp+ys7LHstuy77MLsyezR7Nns4+zs7PTs/O0E7QztFe0f7SntM+097UbtTu1V7VvtYO1k7Wftau1s7W3tb+1y7Xbtfe2F7Y7tlu2e7aPtpu2o7antq+2w7bbtvu3H7dHt2e3h7ent8O347gDuCu4V7iDuLO427kDuSe5R7lfuXe5i7mbuae5s7m/uc+537n3ug+6K7pLum+6k7q/uu+7J7tju6O737wXvEO8Z7x/vI+8m7ynvLO8x7zfvP+9H71DvWu9k727veO+B74rvku+Z75/vpO+p763vsu+3777vx+/R793v6u/48AbwFPAh8CzwNfA68D3wPfA88DvwOvA88EDwR/BR8FzwaPB08H/wivCU8J3wpfCs8LHws/Cz8LLwr/Cr8KnwqPCq8K7wtfC98Mfw0fDc8Ofw8/D/8QvxFvEg8SrxM/E78UPxTPFX8WPxcPF/8Y3xnPGr8brxyPHX8ebx9fIF8hTyI/Ix8j/yTPJa8mnyd/KF8pPyofKu8rzyyfLX8uXy9PMC8xDzHfMp8zXzQfNO81zza/N684nzlfOg86fzrvOz87nzwPPJ89Tz4fPu8/z0CfQW9CP0MPQ99Er0VvRi9Gz0c/R69H/0hPSJ9JD0mfSj9K70ufTE9M/02vTl9PD0/fUK9Rj1JvUz9UD1TPVY9WT1b/V89Yj1lfWi9a/1u/XH9dP13vXq9fX2APYL9hb2IfYt9jr2SPZW9mX2c/Z/9or2lPad9qj2tPbC9tL24vbx9v33B/cN9xH3Ffca9yP3Lvc890z3XPdr93r3iPeX96f3uPfL99738PgC+BH4IPgu+D34Tfhg+Hb4jfim+MD42/j1+Q75Jfk6+Uz5Wvll+W75ePmE+ZX5rPnK+ev6Dvov+k36Zfp5+on6lvqk+rT6xfrX+un6+fsI+xb7I/sw+z/7Tvtf+3D7gPuQ+6D7sPvB+9b77fwH/CL8PfxX/HD8ifyi/Lz82fz4/Rn9O/1b/Xn9lf2u/cf94P38/hr+PP5g/ob+rf7T/vr/H/9D/2f/iP+o/8f/5AAAAB0AOgBYAHcAlgC1ANMA7wEIASABNwFPAWcBggGfAb4B3QH8AhoCNwJUAnECkAKwAtEC9AMYAzwDXwOBA6QDxgPrBBMEQARzBKsE6AUpBWsFrAXoBh4GTQZ1BpUGsAbHBtsG7Ab6BwcHEgccBycHMwdDB1gHdAeVB7gH2wf7CBQIJggxCDcIOgg+CEQITAhVCF0IYQhiCF8IXAhbCF4IZwh1CIIIigiGCHMITwgbB90HnAddByYG+gbWBrkGngaCBmIGQAYgBgQF8wXuBfUGBwYfBjgGTgZeBmcGagZpBmgGZwZpBm4GdAZ7BoEGhgaJBosGjAaOBo8GkQaSBpIGkAaLBoUGfQZ1Bm4GaQZlBmMGYwZjBmIGXwZaBlIGSQY/BjUGLQYmBiIGIAYeBhwGGgYXBhMGDgYIBgEF+QXxBegF3wXXBc8FyAXDBcAFvQW6BbcFswWvBasFqQWoBagFqgWsBa0FqwWlBZ0FkQWFBXkFbwVnBWEFXQVYBVAFRQU3BSUFEgT9BOkE2ATLBMEEvAS7BL4EwwTKBNAE1ATTBM4EwgSyBJ8EiwR6BG0EZgRkBGUEaARpBGYEXwRTBEUENwQqBCIEHQQcBBwEGwQaBBYEEAQJBAID/AP3A/QD8gPwA+8D7gPuA+0D7APqA+gD5APfA9oD1QPRA88DzgPPA9AD0QPSA9EDzwPMA8oDyAPIA8kDywPOA9ID2APhA+sD9gQDBA8EGgQjBCkELgQyBDYEOwRBBEYETARRBFQEVgRYBFsEYQRqBHUEhASUBKQEtQTGBNcE6AT4BQkFGgUrBUgFZAWDBaUFygXyBhoGQgZnBocGoga2BsQGzgbUBtgG3AbfBuEG4gbhBt4G2gbWBtMG0QbQBtIG1QbYBtwG3wbiBuYG6QbuBvMG+gcCBwsHFAceBygHMwc+B0oHVgdiB20HeAeCB4wHlQefB6kHswe+B8kH1AfgB+sH9wgBCAkIDQgMCAUH+AflB88HuQemB5gHkQeQB5MHmQefB6QHqQetB7EHuAfAB8oH0wfbB+AH4gfkB+YH6gfyB/wICAgTCBsIIAgiCCEIIAggCCMIKAgvCDYIPAhBCEYITQhVCGAIbgh9CIwImAiiCKgIrAiwCLUIuwjBCMUIxwjFCL8ItQirCKMInwihCKkIuAjLCOMI/QkbCTsJXQmACaMJxQnkCf8KFgopCjkKRwpUCmIKcAp+CowKmQqmCrMKwArOCt0K7Ar9Cw4LHwsuCzwLRwtOC1ELTwtKC0MLPQs3CzQLNAs1CzYLNgs0CzALLAsqCy0LNgtEC1ULaAt4C4MLhguEC3wLcgtpC2MLYQtjC2gLcAt6C4YLkgufC6sLtQu5C7gLrwuhC48LfQttC2MLXwthC2YLbAtvC28LbAtmC2ELXgteC2ILaAtxC3kLfwuFC4gLiguKC4gLhAt8C3ALYAtOCzsLKgsaCw8LCAsECwILAgsBCv8K+grzCuoK3QrPCsAKsAqhCpMKhwp9CnQKbAplCl0KVgpQCksKSQpICkcKRwpECj0KMwolChUKAwnvCdwJyAmzCZ0JhQlrCVEJNwkdCQUI7wjaCMYIswihCJEIhAh5CHIIbQhqCGcIYwhdCFMISAg6CCwIHAgLB/gH4wfLB7EHlQd4B1oHPQcgBwQG6AbMBrAGlQZ8BmYGUwZCBjQGJwYZBgoF+AXlBc8FuAWgBYgFcAVYBUAFJwUPBPcE3wTHBK8ElwR+BGMERQQlBAID3AO0A4sDYgM4Aw8C5gK/ApkCdQJUAjUCGgICAewB2AHEAbABmgGEAWwBVAE/AS0BIQEbARwBIQEoAS8BMQEtASABDADzANcAvgCpAJkAjwCJAIIAewBvAF4ARwAsAAz/5f+2/33/N/7k/of+Jv3F/W39Ifzm/Ln8l/x6/F78PfwZ+/P70Puz+5/7lfuS+477hvtx+077Hfrg+pz6V/oW+dv5pvl3+Uz5I/j9+Nj4t/ib+IX4dfhr+GT4XfhU+Ej4N/gh+Aj37ffT97z3qved95T3j/eK94X3ffdv91r3Pvcc9vT2yfaa9mn2N/YE9dL1oPVw9UL1F/Tv9Mn0pvSF9Gb0R/Qp9A3z8fPW87zzpPON83jzY/NQ8z3zKvMW8wHy6fLP8rHykfJw8lDyMvIX8gHx7fHc8czxu/Gq8Zjxh/F38WjxXPFR8UbxO/Eu8R/xDvD88Orw2PDH8LfwqPCb8I/whfB78HHwZvBa8EzwO/Ap8BbwBO/07+nv5O/i7+Tv5u/n7+bv4e/Z79Hvye/D77/vve+777nvte+v76bvne+T74nvf+9072fvVe9A7ybvC+7w7tnux+677rXus+607rfuue687sDuxu7Q7tzu6u747wTvDO8Q7xDvDu8L7wvvDe8S7xrvIu8r7zLvN+8870DvRe9L71PvW+9k723vd++A74nvku+c76bvsO+678Tvzu/W793v4u/k7+Pv3e/T78bvuO+q757vlu+S75Lvle+a757voO+h76Hvnu+a75TvjO+A73HvXu9L7zfvJe8V7wnu/+717uru3O7K7rfuou6O7n3ube5g7lTuR+457inuGO4F7fTt4+3U7cbtt+2p7ZntiO127WXtVO1F7TbtKO0a7Q7tA+z77Pbs9Oz07PXs9uz17PDs6Ozc7M/sweyz7KfsnOyR7Ifsfexz7GrsY+xe7FvsWexX7FTsUOxL7EXsP+w67DbsNOwz7DLsMewv7C7sLewt7C7sMOwy7DXsOOw67DzsP+xC7EfsTuxV7FzsYuxm7Gnsa+xs7G/scux37Hzsg+yJ7I7sk+yY7Jzsoeyn7K3ss+y67MHsyezR7Nrs5Ozv7PrtA+0L7RHtFu0Z7RztH+0k7SntL+007TjtPO0/7ULtRu1M7VLtWu1g7Wbtau1t7W7tb+1w7XLtdu177YLtie2Q7ZjtoO2n7a/tt+3A7cjt0e3b7ebt8u4A7g3uGe4j7iruLu4v7i/uL+4v7jLuN+4+7kfuT+5Y7l/uZ+5v7njug+6Q7p3uq+657sTuzu7W7t3u4u7o7u7u9u7+7wjvEu8d7ynvNe9B707vWe9l727vdu9874Dvg++G74rvj++W76Dvre+778vv2u/o7/Tv/fAE8AbwB/AG8ATwA/AD8AXwCvAR8BvwJfAx8D3wSvBW8GLwbfB38H/whfCI8IrwifCH8IbwhfCF8IbwifCN8JLwmPCf8KfwsfC88Mnw1/Dl8PPxAPEM8RjxI/Eu8TnxRPFP8VvxaPF08YLxkPGf8a/xwPHS8ePx9PIF8hXyJfIz8kLyUPJe8m3yfPKM8pzyrfK+8s/y3vLs8vnzBPMO8xjzJPMx8z/zTvNd82rzdvN/84fzjPOS85jzoPOp87PzvvPK89bz4vPv8/30DfQd9C30PfRK9FT0XPRh9GX0afRt9HP0e/SE9I70mfSj9K30uPTD9ND03fTr9Pr1CPUW9SP1L/U79Uj1VPVi9W/1ffWL9Zj1pfWx9b31yPXS9dz15vXv9fn2BPYQ9h32LPY79kv2WvZn9nP2fvaJ9pT2oPat9rv2yPbU9t725/bu9vb2/vcI9xT3Ifcu9zv3R/dS9173a/d694z3oPe098j32ffn9/P3/vgK+Bn4K/hB+Fr4c/iO+Kj4wvjc+PT5DPkg+TH5PvlH+U35U/lc+Wz5g/mj+cj57/oU+jT6Tfpg+m76evqI+pf6qvq/+tT65/r4+wb7E/sg+y/7QPtU+2j7fPuO+5/7r/u/+9L75/wA/Br8NvxS/G38hvyg/Lr81fzz/RH9MP1O/Wv9hf2e/bf90v3w/hH+Nv5d/oX+rf7T/vn/Hf9B/2P/hP+j/8H/3f/4ABMALQBJAGUAgwChAL4A2gD0AQ0BJAE7AVQBbgGKAagBxwHnAgcCJwJGAmYChQKlAsUC5QMHAysDUAN5A6UD1AQFBDgEbQSjBNkFEAVGBXwFsAXhBg4GNAZTBmsGfgaNBpsGqga6Bs0G4Ab0BwcHGQcsB0AHVwdyB48HrQfIB98H7wf4B/wH/Qf/CAQIDAgWCB8IJAgjCB4IFQgOCAwIEwghCDQIRQhLCEAIHwfnB54HSgb1BqcGaAY4BhgGAgXyBeMF0wXCBbEFpAWeBaAFqgW7Bc4F4gXyBf0GAgYDBgEF/wX/BgIGCAYRBhwGKAYyBjoGPwZCBkIGQAY9BjkGNQYwBiwGJwYhBhwGFwYUBhIGEwYUBhcGGgYbBhoGFgYQBgoGAwX+BfkF9gX0BfEF7QXoBeEF2gXSBcwFxgXBBb0FuQW1Ba8FqAWhBZkFkQWIBX8FdgVuBWYFYAVcBVsFXAVeBWAFXwVbBVQFSQU8BTAFJgUfBRsFGQUXBRQFDQUCBPQE4gTRBMAEsQSmBJ0ElwSSBI4EjASKBIgEhwSFBIEEewRxBGUEVwRKBD4ENgQxBC8ELwQvBC4EKQQjBBoEEgQLBAUEAgQAA/4D+wP2A/AD6QPjA94D2wPaA9kD2QPYA9YD0wPPA8wDygPIA8cDxQPCA74DugO1A7IDsAOwA7EDswO1A7YDtwO3A7cDtwO3A7cDuAO7A74DwwPKA9MD3QPnA/ID+wQEBAoEEAQWBBwEJAQtBDYEPwRGBEwEUARUBFgEXgRnBHMEgASQBJ8ErwS+BM0E3QTuBQEFFgUuBVcFegWgBcYF7QYUBjoGXwaABp0GtAbFBtIG2wbhBuUG6gbuBvIG9Qb2BvUG8wbuBukG5AbeBtkG1QbQBswGyAbFBsQGxAbIBs4G1wbiBu8G/AcJBxcHJAcwBz0HSQdUB18HaQdyB3sHgweNB5gHpAexB78HzQfaB+YH7gfyB/EH7AfhB9IHvwesB5sHjQeFB4EHgweHB4wHkAeTB5MHkweUB5YHmweiB6kHsAe1B7gHuQe6B70HwgfLB9YH4QfqB/EH8wfzB/IH8gf1B/sIAggKCBIIFwgbCB4IIwgrCDYIRQhVCGMIbwh3CHwIfwiECIsIkwidCKQIpgiiCJYIhQhzCGMIWwhcCGgIfQiYCLcI1wj1CRMJMAlNCWsJiwmqCckJ5gn/ChUKJwo2CkIKTApXCmEKbAp5CoYKlAqkCrQKxQrWCucK+QsJCxgLIwsrCy4LLQsoCyILGwsXCxULFgsaCx8LIgslCyYLJwspCy4LOAtHC1oLbguAC44LlwuaC5gLlAuPC40LjguTC5wLqAu2C8YL1gvkC/EL+Av6C/QL6QvZC8gLuAusC6ULowulC6gLqQunC6ALlguKC4ALeAt0C3MLdQt3C3oLewt7C3sLegt4C3QLbgtkC1ULQgssCxYLAQrwCuQK3QrbCtsK3QrgCuEK4ArdCtkK0grICrwKrgqeCo0KfApsCl0KUQpHCkAKOwo4CjcKNwo3CjgKNwo0Ci4KJAoXCgcJ9AnfCcgJsAmXCX0JYglICS0JEwj5COAIxwivCJYIfghoCFUIRwg9CDkIOQg7CD0IPAg3CC4IIAgNB/kH5AfPB7sHpweUB4EHbQdYB0IHKgcRBvYG2wbABqYGjwZ6BmcGWQZMBkEGNgYrBh4GEAX/Be0F2AXCBaoFkAV2BVkFPQUiBQcE7gTXBMAEqQSQBHQEVQQyBAwD5AO6A5ADZgM9AxQC6wLEAp4CeQJXAjkCHgIHAfQB4wHUAcUBtQGkAZIBfwFtAV4BVAFQAVMBXAFnAXMBewF8AXUBZgFQATYBGgEBAOoA1gDFALQAowCRAH4AagBWAEEAKQAJ/+D/qf9j/xH+tf5V/fr9p/1g/SX89PzI/J/8dfxL/CL7/fvf+8r7vfu1+6v7m/uA+1n7Jvrq+qr6bPox+f35z/ml+X35V/kx+Q346/jN+LX4pPiY+JL4jviL+If4f/h0+GX4U/g/+Cr4F/gE9/T35ffW98f3tPee94L3Yvc89xP25va59or2WvYq9fn1x/WW9WX1NfUJ9N/0uvSY9Hr0XvRF9C70F/QB8+vz1vPB863zm/OL83vzbPNc80jzMPMT8vHyzPKl8oHyYfJH8jPyJPIY8gzyAPHx8eHx0PHB8bTxqvGi8Z3xl/GP8YbxefFr8VvxS/E88S7xIvEX8QzxAvD58O7w4fDR8L7wpvCK8GvwTPAt8BPv/u/u7+Hv1+/L773vq++X74Pvce9k71zvWO9Y71jvWO9V71DvSe9C7zzvN+8y7yvvIu8U7wHu7O7W7sLus+6q7qXupO6l7qXuo+6g7p3um+6c7qHuqO6w7rbuuu647rPure6m7qPupO6q7rTuv+7K7tTu2+7h7uXu6u7w7vfvAe8M7xnvJu8z70DvTO9Y72PvbO9173zvgu+H74zvku+V75fvl++S74nvfe9w72LvVu9N70jvRu9H70jvSu9L70vvS+9K70fvQ+887zHvI+8R7v7u6e7V7sTute6n7pvuj+6C7nTuZe5W7kjuOu4u7iHuFO4F7fTt4e3N7bjtpe2T7YPtde1p7V7tUu1G7TftJ+0V7QHs7ezZ7Mjsuuyw7KrsqOyn7KfspOyf7Jjsj+yF7H3sd+xz7HDsbOxm7F3sUexD7DXsKOwg7BvsG+we7CPsKOws7C/sMOwv7C7sLOwq7CfsI+wg7BzsGewX7BbsFuwX7BjsGewa7BrsG+wd7CHsJewq7C/sNOw47DvsPuxB7EXsSuxQ7FbsXOxi7Gbsauxt7HHsdOx47H3sgeyG7Izsk+yb7KTsr+y67MTszezT7Nbs1+zX7Nfs2eze7OXs7ez27P/tBe0K7Q3tEO0T7RftHe0i7SjtLe0x7TPtM+0z7TPtM+017TjtPe1D7UvtU+1c7WTta+1x7Xftfu2F7Y7tmu2o7bftx+3V7eDt6O3s7e7t7+3w7fTt++4D7gvuFO4a7h7uIO4h7iPuJ+4t7jfuQu5Q7l3uae517n/uh+6Q7pnuo+6t7rnuxe7R7t3u6u737wXvE+8h7y7vOu9D70rvT+9T71bvWu9h72rvde+C75Lvoe+v77zvx+/P79Tv1+/Y79jv1+/X79nv2+/f7+Tv6+/07/3wCPAU8CHwLfA58ETwTfBV8FvwX/Bi8GTwZvBo8Grwa/Bs8GzwbfBv8HLwePCB8IzwmvCq8Lrwy/Da8Onw9fEB8QzxFvEg8SrxNfFB8U/xXfFt8X7xkPGj8bbxyPHa8ezx/fIN8h3yLfI98k7yX/Jw8oLyk/Kk8rPywvLO8tvy5vLy8v7zC/MZ8yfzNfNB80zzVfNc82Tza/N0837ziPOT857zqPOy87vzxPPP89zz6vP69Ar0GvQn9DL0O/RB9Ef0TfRT9Fv0Y/Rr9HP0e/SD9Iz0lfSg9K30u/TJ9Nj05/T19QL1DvUb9Sn1N/VF9VX1ZPVz9YH1j/Wb9af1svW89cT1zfXV9d716PXz9gD2DvYe9i72PfZL9ln2ZvZy9n/2i/aY9qT2r/a59sL2yvbU9t/27Pb79wr3GPck9y73N/dA90n3Vfdk93X3iPeZ96n3tffA98r31vfl9/j4D/go+EH4Wfhx+If4nvi4+NT48vkQ+Sr5PflJ+U75T/lR+Vj5aPmC+aX5zPnz+hX6L/pB+k36V/pi+nH6hfqc+rb6zvrj+vX7BPsT+yP7NvtM+2P7evuP+6L7svvA+9D74fv2/A78KPxE/GD8e/yW/LH8zPzp/Qb9I/0//Vr9dP2N/af9wv3h/gL+KP5P/nj+of7I/u7/Ev81/1f/d/+V/7L/zv/pAAIAHAA3AFIAbgCLAKcAwwDdAPYBDgEnAUEBXAF4AZUBswHSAfECEQIxAlICcwKVArkC3QMEAy8DXgORA8gEAgQ9BHUEqgTbBQYFLwVVBXoFoAXGBesGCwYnBjwGTAZYBmQGcQaBBpUGqwbCBtcG6Qb6BwsHHQczB0wHaAeFB54HsQe9B8MHxQfFB8YHyQfPB9QH1gfVB9AHyAfDB8QHzQfdB/IIAwgIB/sH1geaB0oG8AaWBkUGBAXWBboFrAWlBaAFmgWQBYMFdgVtBWgFagVzBYEFkQWhBbAFvAXEBcoFzQXOBdAF0gXUBdgF3AXfBeIF5AXjBeIF3wXcBdoF2QXaBdwF3gXeBd4F3AXZBdYF1QXVBdgF3AXgBeIF5AXjBeAF3AXYBdQF0QXOBcoFxQW+BbYFrQWlBZ0FmAWTBZAFjAWIBYEFeQVxBWcFXgVWBU4FRwU/BTYFLQUlBR4FGAUVBRIFEAUNBQgFAQT5BPEE6QTiBN4E2wTYBNQEzgTFBLsErwSjBJkEkASJBIMEfQR3BG8EZgReBFYEUQRMBEgERAQ/BDcELgQlBBwEFAQQBA0EDAQMBAoEBwQBA/sD9APuA+gD4wPeA9kD0gPLA8MDvAO2A7MDswO0A7UDtgO1A7MDsAOsA6oDqQOpA6sDrAOsA6oDpwOiA50DmQOWA5UDlQOWA5cDmAOaA5sDngOgA6MDpwOrA68DtAO5A78DxgPPA9cD4APpA/ED+QQBBAoEEwQdBCcEMQQ5BEAERgRMBFMEWwRlBHEEfwSNBJsEqQS2BMQE1QToBP4FGQU3BWUFiwWxBdgF/gYjBkcGaQaHBqIGtwbGBtAG1gbYBtkG2QbaBtwG3wbhBuQG5AbjBuAG2wbVBs0GxQa8BrQGrAamBqMGpAaoBrAGuwbJBtgG5wb2BwQHEQcdBygHMgc8B0YHUAdaB2UHcQd9B4wHmwerB7oHxwfRB9YH1gfQB8QHtAeiB48HfgdyB2sHagdvB3cHgAeHB4sHiweHB4EHewd3B3cHegd/B4YHiwePB5IHkweVB5kHoAepB7IHuwfAB8MHwwfCB8IHxQfLB9UH3wfoB+8H8gf0B/UH+QgACAsIGggqCDgIQghKCE8IVAhaCGQIbwh5CH4IewhuCFgIPAghCA0IBggQCCkITwh8CKsI1Qj4CRQJKQk8CU4JYwl7CZYJswnOCecJ/AoNChoKJQouCjgKQQpNClkKZgp0CoIKkgqiCrMKxArVCuQK8Qr6Cv8K/wr8CvcK8gruCu0K8Ar2Cv4LBwsQCxkLIgsrCzULQgtSC2QLeAuLC5wLqgu0C7sLvgvAC8ALwAvBC8QLyQvPC9gL4QvqC/ML+Av5C/cL8QvqC+QL4QvgC+ML5wvqC+oL5AvaC8sLvAutC6ILnAuZC5gLmAuVC48Lhgt8C3ILaQthC1sLUwtICzgLIwsLCvAK1wrBCrEKpgqiCqEKowqlCqkKrAqwCrQKtwq4CrYKsAqmCpYKgwpuClgKRAo0CicKHwobChkKGgobChwKGwoYChMKCQn8CewJ1wm/CaQJhwlpCUsJLQkQCPQI2Qi/CKYIjAh0CFsIRAgwCCAIFQgPCA4IEAgTCBQIEggLB/4H6wfVB7wHpAeOB3sHbAdeB1MHRwc5BycHEgb5Bt0GvwahBoMGZwZPBjkGJgYVBgYF+AXrBeAF1QXLBcEFtgWpBZoFhgVvBVUFOQUdBQEE5wTOBLYEnQSEBGcERwQlBAAD2wO1A48DaQNDAx0C9gLQAqoChwJmAkgCLgIYAgUB9QHmAdgBygG8Aa4BoQGWAYwBhgGCAYIBggGDAYIBfgF0AWUBUQE4ARwA/wDiAMcArACSAHkAYABIADMAIQATAAf//P/t/9f/tP+D/0T++f6n/lL+Af22/XX9PP0K/N38tPyM/Gf8Rfwo/A/7+Pvj+8z7sPuP+2f7O/sL+tz6rfqB+lf6LvoE+dj5q/l9+VD5JvkA+OH4yvi4+K34pvii+J/4nfiZ+JP4ivh/+HH4YfhP+D34K/gZ+Ab38vfb98L3o/eB91r3MPcD9tP2ovZv9jz2CPXT9Z/1bPU69Qv03vS19I/0bPRM9DD0FvP+8+jz1PPC87PzpfOa84/zhfN482nzVvM98yHzA/Ll8srys/Ki8pXyi/KC8nbyaPJW8kPyL/Ie8hDyBfH+8fjx8vHs8eTx2/HS8crxw/G98bbxrvGk8ZXxhPFw8VrxRPEt8RTw+fDc8LzwmfB18FPwM/AW7/3v5e/N77Tvme9871/vRe8w7yDvFu8R7w3vCe8D7vzu8+7s7ubu5O7k7ubu5u7i7truz+7B7rLupu6d7pjule6U7pHuje6I7oHufO557njuee567nnudO5s7mDuU+5J7kLuQu5H7lLuXu5r7nXufe6C7obuie6N7pPunO6n7rTuw+7T7uTu9O8E7xLvHu8m7yzvMO8z7zXvOO8870DvQ+9E70HvO+8x7yXvGe8P7wfvAu7/7v7u/u797v3u/O767vnu+O727vLu6+7f7tHuv+6r7pbug+5x7mHuU+5G7jruLu4h7hXuCe387e7t4O3Q7b7tqu2U7X7tZ+1S7UDtMe0m7R7tF+0Q7Qfs+uzp7NTsveym7JDsf+xy7GvsZ+xl7GDsWexO7EDsMewl7BzsGewb7CDsJewn7CTsG+wM6/vr6uvb69Pr0OvU693r6Ov06//sCOwO7BLsE+wS7A/sC+wG7AHr/uv76/rr+uv66/vr/Ov86/vr++v76/3r/+wC7AbsCuwN7BDsFOwX7BzsIewm7CvsL+wz7DbsOOw67D3sQexF7ErsTuxT7FfsXOxj7Grsc+x97IbsjuyU7Jfsl+yW7Jbsl+yb7KHsqeyz7LzsxOzJ7M7s0ezU7Njs3Ozi7Ojs7ezy7PXs9+z37Pfs+Oz57Pvs/+0F7Q3tFe0e7SftLu007TntPO1A7UXtS+1U7WDtbO167Ybtke2Z7aDtpu2s7bPtvO3G7dDt2e3f7ePt5e3l7eXt5+3q7e/t9+4A7gnuE+4b7iTuLO417j/uSu5W7mPucO597onulu6i7rDuvu7N7tzu6+747wTvDu8X7x7vJe8t7zXvQO9M71nvZ+9274TvkO+c76XvrO+x77Xvt++477nvue+577rvvO/A78bvze/X7+Lv7+/88AjwFPAf8CjwMfA48D7wRPBI8EzwT/BP8E/wTfBL8EvwTPBR8FnwZfBz8IPwlPCl8LTwwvDO8Nrw5PDu8PjxBPER8R/xL/FB8VTxZ/F78Y7xofG08cbx1/Hp8fryDPIf8jLyRPJX8mfyd/KF8pLyn/Kr8rfyxPLT8uPy8vMC8w/zG/Ml8yzzM/M680LzTPNY82XzcvN/84rzk/Oa86HzqfOx87zzyfPX8+Xz8/QA9Av0FPQd9Cb0LvQ39ED0SPRQ9Fb0XPRi9Gn0cfR89In0l/Sm9LX0xPTS9OD07fT79Qr1GvUq9Tr1SvVa9Wr1ePWG9ZP1n/Wr9bX1vvXH9dD12vXl9fH1/vYM9hr2J/Y19kL2T/Zc9mr2ePaG9pP2nvao9rL2u/bG9tL24Pbu9vz3CfcU9xz3JPcs9zX3QfdP91/3bvd794X3jfeW96H3sPfE9933+fgU+Cv4P/hQ+GH4dviR+LT43vkK+TL5Ufli+Wb5YflZ+VX5W/lu+Y75t/nh+gb6Ivo0+jz6QPpF+k/6X/p3+pP6sPrK+uD68/sE+xX7Kfs/+1j7cvuK+5/7sfvA+8773Pvt/AH8Gfwy/E38aPyD/J78uvzW/PP9EP0u/Uv9Zv2B/Zz9t/3T/fH+Ef40/lj+fP6g/sT+5/8J/yv/Tf9t/43/rP/K/+cABAAgADwAVwByAIwApQC+ANgA8gENASoBSAFmAYQBogG/AdsB+QIXAjcCWgKAAqkC1gMHAzwDdgO0A/QENARxBKkE2QUBBSIFPQVXBXIFjgWrBckF5QX9BhAGHwYrBjcGRwZbBnMGjQanBr0GzwbcBucG8Qb/BxEHKAdCB1sHcAd/B4YHhweEB34HeQd2B3QHcgdxB3EHcwd4B4MHkwemB7cHvwe4B54HbgcrBtwGiQY8BfwFzQWwBaEFmwWYBZMFiQV6BWgFVgVGBTwFOQU9BUYFVAVmBXoFjwWiBbQFwgXLBdAFzwXLBcMFuwWyBaoFowWeBZoFmAWYBZoFngWlBa0FtAW6Bb0FvQW6BbYFsQWuBa0FrgWwBbMFtQW1BbQFsgWwBa0FrAWrBakFpgWiBZwFlAWMBYQFfQV1BW0FZAVaBU4FQQU1BSsFIwUeBRwFGgUXBREFCQT+BPEE5QTaBNIEzATIBMYEwwTABLwEtwSxBKsEpgSgBJoEkwSLBIIEeQRxBGoEZQRgBFsEVgRQBEgEQAQ4BDAEKgQlBCEEHQQYBBMEDAQFA/8D+gP2A/QD8wPyA+4D6QPiA9oD0gPKA8MDvQO3A7ADqQOhA5kDkgONA4oDigOLA4wDjQOMA4sDiAOGA4YDhwOJA4wDjgOPA44DigOGA4EDfQN6A3gDeAN5A3oDfAN/A4IDhgOLA5EDlwOdA6IDpgOqA64DswO6A8IDzAPXA+ID7gP4BAMEDAQVBB4EJgQuBDUEPQREBE0EVwRiBG8EfASIBJUEogSvBL4E0ATmBQAFHgVABWEFhwWtBdMF+AYcBj4GXwZ9BpcGqwa4Br8GwAa8BrUGrQanBqMGogaiBqQGpganBqcGpQahBpwGlwaSBo4GigaJBooGjgaUBp4Gqga4BscG1QbjBvAG/AcGBw8HFwcgBykHNAdAB04HXQdtB34HjgeeB6sHtAe4B7cHrwehB48HegdlB1MHRgc/B0EHSAdUB2IHbQd0B3YHcgdqB2EHWQdUB1MHVgdbB2EHZgdqB2wHbgdyB3cHfweHB48HlAeXB5YHlAeSB5IHlgeeB6gHsge6B78HwQfBB8MHxwfPB9wH7Af7CAoIFAgcCCMIKwg1CEEITghWCFcITQg2CBYH8wfVB8MHxQfcCAYIPgh8CLcI6AkNCSQJMAk4CT8JSQlZCW8JhwmgCbgJzAncCekJ9An+CgcKEQobCiUKLwo6CkUKUQpeCm0KfgqPCqEKsAq9CscKzArOCs4KzArKCsoKzQrSCtsK5gryCwALDgsdCywLPAtNC2ALdQuLC6ELuAvMC90L6QvwC/AL6wviC9cLywvDC70LvAu+C8ILyAvNC9IL2AvfC+oL9wwHDBcMIwwqDCkMHwwOC/sL6AvZC9ALzQvOC9ALzQvFC7ULoAuIC3ELXQtNC0ILOAssCxwLBwrsCs8KsQqWCoAKcApnCmIKYQpiCmUKawpzCn8KjAqbCqcKrgqvCqgKmAqBCmcKSwowChoKCAn9CfYJ8wnyCfIJ8gnwCesJ4wnWCcQJrgmTCXYJVQk0CRMI8wjUCLcInAiDCGsIVQhACC0IHAgPCAQH/Qf5B/YH9AfwB+oH4QfTB8IHrgeYB4MHbwddB04HQgc3BysHHgcMBvcG3Aa9BpwGeQZWBjYGGAX+BeYF0AW7BacFlQWEBXcFbwVqBWgFaAVmBWIFWQVLBTcFHwUFBOoE0AS3BJ8EhgRsBFAEMQQRA/ADzgOtA4wDawNJAygDBgLkAsMCpAKIAm8CWAJDAi0CGAIBAesB1gHCAbEBpAGZAZEBiQGAAXUBaAFXAUQBLgEWAPwA4wDIAK4AlAB6AGAARQAqAA//9f/d/8f/tv+q/6H/m/+T/4f/cv9S/yb+7v6s/mT+Gv3U/ZL9Wf0p/QD83/zE/Kv8lPx8/GP8R/wn/AX74Pu7+5f7dvtX+zr7HvsA+t76tvqH+lL6Gfng+aj5dPlG+R/4/vji+Mr4tvim+Jn4jviH+IH4e/h1+G34Y/hY+Ez4Qfg3+C/4J/ge+BP4Avfs9833pvd490T3DPbS9pj2X/Yo9fL1vvWK9Vb1IvTt9Lj0hvRW9Cz0BvPo88/zu/Os86Hzl/OP84fzfvN082nzXPNP80HzNPMq8yHzHPMX8xLzCvL+8u3y1/K/8qbyj/J78mzyYfJX8k7yRPI58i7yJPId8hvyHfIh8iLyHvIS8f3x3/G88ZbxcvFS8TfxIPEK8PPw2vC98J7wffBc8D3wH/AB7+Pvw++j74LvYu9F7y3vGe8J7vzu7u7g7tHuwe607qrupe6k7qjurO6v7rDure6m7p3ulO6L7oTuf+567nXub+5p7mLuXO5X7lTuUe5N7kbuO+4t7hvuCu377fLt7+3z7f3uCe4W7iHuKe4v7jLuNO437jvuQe5J7lPuX+5u7n7uke6k7rfuyO7V7t/u5e7o7unu6u7t7vDu9O747vju9u7w7ubu2+7P7sXuve647rXus+6x7q/ure6r7qvuq+6s7qzuq+6n7p/uk+6D7m/uW+5H7jTuI+4U7gbt+e3r7d3tz+3A7bLto+2U7YXtdO1h7U3tN+0h7Qzs+ezq7N/s1uzQ7Mjsv+yx7J/siexy7F3sSuw87DHsKuwj7BrsDev76+fr0eu/67Lrreuw67jrw+vM69Hrz+vH67rrquub64/rieuJ647rmOuk67HrvevI69Hr2Ovc697r3+vf6+Dr4Ovh6+Pr5evn6+jr6Ovo6+br5Ovi6+Lr4uvj6+Xr5+vo6+rr7Ovu6/Dr8+v16/jr+uv76/3r/uwB7AXsCuwP7BXsGuwe7CHsJOwn7CzsMew47EDsR+xO7FPsVuxY7FnsW+xe7GLsZ+xt7HTseex/7ITsiOyN7JPsmeyg7KbsrOyw7LTstuy57LvsvezB7MXsyezP7Nbs3ezl7O3s9ez77QDtA+0F7QftCe0M7RHtGO0h7SvtNu1B7UrtVO1d7Wftce177YbtkO2a7aLtqe2w7bXtu+3A7cbtzO3R7dXt2e3c7d/t4+3o7fDt+e4E7hDuHe4p7jbuQu5O7lruaO537oful+6o7rnuyO7W7uPu7e737wHvCu8U7yDvLe8770rvWe9o73bvgu+M75Tvmu+d75/vn++e75zvm++b75zvoO+m767vuO/E79Dv3e/o7/Pv/PAF8A3wFPAb8CHwJvAq8CzwLPAr8CnwKfAr8C/wNvBB8E/wXvBu8H3wjPCa8KbwsvC98Mnw1vDk8PPxBfEX8SvxQPFU8WnxfPGP8aLxtPHG8djx7PH/8hPyJvI58knyV/Jk8m/yevKG8pPyofKx8sLy0vLh8u7y+fMB8wjzD/MY8yHzLfM680jzVPNg82nzcfN3837zhvOQ85vzqPO188Pzz/Pa8+Tz7vP39AH0CvQU9B30JvQt9DP0OfQ/9Ef0UfRd9Gr0efSJ9Jj0p/S29MT00/Tj9PP1A/UT9SP1M/VD9VL1YvVy9YL1kfWg9a31ufXF9dD12vXm9fH1/fYI9hP2HvYo9jP2P/ZM9lv2avZ69oj2lfag9qr2tPa99sj20/bf9ur29Pb89wT3DPcV9yD3Lvc990z3WPdi92j3bvd294L3lPet98v36fgF+Br4Kvg2+EP4Vvh0+J340PkG+Tf5W/lv+XH5ZvlW+Uz5T/lj+Yj5uPnr+hj6OPpI+kv6Rfo++jz6RPpV+m/6jPqq+sT62vrt+v/7Evso+0H7XPt3+5D7pfu3+8f71vvl+/j8Dfwj/Dz8Vfxt/Ib8nvy4/NT88f0Q/S/9Tv1t/Yr9pv3A/dv99f4P/iv+R/5l/oT+pP7F/uj/DP8x/1X/ev+e/8H/4gABAB4AOQBTAGsAggCaALQA0ADtAQ0BLgFPAW8BjgGqAcYB4gH/Ah8CQwJsApsCzwMIA0YDhgPIBAoESQSDBLUE4AUCBR8FOAVQBWcFgAWZBbEFxgXXBeUF8AX9Bg4GJQZEBmcGjQavBssG3gbnBukG6AbnBusG9AcCBxIHIgctBzMHMwctByUHGwcSBwsHCQcKBxAHHAcuB0QHWwdvB3kHdQdeBzMG+AaxBmgGJQXvBcsFuAWxBbIFsgWtBaAFiwVxBVQFOgUmBRgFEQURBRUFHgUsBT4FVAVtBYYFngWxBb0FwQW+BbUFqAWaBY4FgwV7BXUFcgVyBXMFdwV+BYYFjgWWBZsFnQWcBZkFlAWQBY0FiwWMBY0FjgWPBY4FjQWLBYoFiQWIBYgFhgWEBYAFewV0BW0FZAVbBVAFQgUyBSAFDQT8BO4E5ATgBOAE4gTkBOME3QTUBMYEtgSnBJsEkQSLBIgEhgSEBIEEfQR3BG8EaARhBFoEUwRMBEUEPgQ3BDAEKgQkBB8EGgQVBBAEDAQIBAQEAQP+A/sD9wPyA+wD5gPhA9wD2APWA9UD0wPQA8sDxAO7A7IDqAOgA5gDkgOMA4YDgAN4A3EDawNmA2IDYQNhA2EDYgNhA2EDYANgA2EDYgNlA2cDZwNmA2QDYANcA1gDVgNXA1gDWwNeA2EDZANnA2oDbwN0A3sDggOIA40DkgOWA5sDoQOpA7MDvwPNA9sD6AP0A/4EBwQOBBUEHAQjBCoEMwQ8BEYEUQRcBGcEcgR+BIkElQSiBLIExgTeBPkFGgU8BUwFcQWWBbsF3wYBBiMGQgZeBnUGhgaRBpQGkgaKBn8GdAZqBmMGXwZdBl0GXgZfBl8GXwZfBmAGYwZnBmwGcgZ5BoAGiAaQBpkGowauBrsGyAbWBuIG7gb5BwIHDAcWByAHLQc6B0oHWQdpB3gHhQeQB5gHnQedB5gHjweBB28HWwdHBzUHKQciByIHJwcxBzsHRQdKB0sHSAdCBzsHNgc0BzUHOAc9B0IHRQdIB0oHTAdQB1UHXAdjB2kHbQdtB2sHaAdmB2YHaQdvB3cHfgeEB4cHiAeKB40HlAegB68HvwfPB90H6QfyB/sIBwgUCCMILwg2CDMIJAgKB+kHyQeyB6wHuwfgCBYIVgiXCNAI+wkWCSMJJwkoCSoJMglACVQJaQl+CZEJnwmqCbMJuwnDCcwJ1gngCeoJ8wn7CgMKDAoXCiQKNApFClcKagp7CokKlgqgCqcKrQqxCrQKuAq8CsIKygrVCuEK8AsACxELIws3C0wLYwt+C5oLuAvWC+8MAgwLDAoL/wvsC9YLvwutC6ALmwucC6ILqwu2C8IL0QvjC/sMGAw4DFcMcQyBDIYMfgxtDFYMPgwrDB8MGQwXDBUMDQv+C+ULxQuiC4ALYwtMCzoLLAseCwsK8wrWCrUKkwp1ClsKSQo8CjUKMQowCjIKNgo/CkwKXgpzCokKmwqmCqgKnwqLCnAKUAouCg8J8wneCdAJxwnDCcIJwgnBCb4JuAmsCZsJhAlpCUsJKwkKCOkIygitCJIIeQhhCEsIOAgnCBgIDQgEB/0H9gfvB+YH2wfNB70HqweZB4YHdQdlB1YHSQc7By4HHwcOBvoG4gbFBqUGgQZcBjcGFQX3Bd4FygW6BawFngWPBX8FbgVdBU8FRQU/BT4FPwVABT4FNwUqBRcFAATnBM0EtASdBIgEcgRcBEMEKAQLA+wDzAOsA4wDbQNOAzADEwL4AuACygK3AqQCkQJ8AmICRAIjAf8B3AG7AZ8BhwF0AWMBUgE/ASgBDgDxANQAtwCbAIMAbgBZAEYAMgAcAAX/7f/U/7z/pv+S/4L/c/9o/17/Vf9M/0D/L/8X/vb+zf6a/l/+Hv3d/Z39Y/0z/Q388vzf/NH8xfy2/KH8hPxi/Dv8E/vv+9D7ufun+5n7i/t3+1r7M/sC+sn6jPpO+hP53fms+YD5V/kw+Qn45PjB+KL4h/hz+GP4V/hO+EX4PPg0+C34Kfgp+C34Nvg/+Ef4SfhB+C34DPff96j3bPcu9vL2ufaG9lb2KPX59cf1j/VS9RP00/SV9F/0MvQO8/Xz4/PX887zxvO887HzpPOX84vzgfN683jzevN/84XzivOL84fzevNn80zzLvMP8vLy2/LJ8rzysvKn8pryiPJz8l7yTPJB8j3yQfJI8k7yTvJC8iryBvHa8a3xhPFi8UrxOvEv8SXxGPEG8O7w0vCy8JHwcvBT8DTwFe/179Tvs++T73bvW+9E7y7vGu8F7vDu2+7H7rbuqu6k7qHuoe6j7qPuoe6c7pTui+6C7njub+5l7lzuUu5I7kDuOO4y7i7uKu4k7hzuD+3/7ezt2u3K7b/tuu297cXt0O3d7ert9O387gLuBe4I7gruC+4M7g7uEu4Z7iTuM+5G7l3udO6K7pzuqe6w7rTutO607rTute627rbute6w7qjunu6R7oXueu5x7mruZe5i7l/uXO5a7lnuWe5a7lvuXe5c7lfuUO5D7jTuIu4Q7f7t7e3e7dDtwu2z7aTtlO2E7XTtZe1Y7UvtP+0x7SHtDuz47OHsyuy17KLslOyJ7IDseOxu7GLsUuxA7C7sHOwM6/7r8evk69Xrwuus65Tre+tk61TrSutJ607rWetk62/rdet363PrbOti61frTutH60PrQ+tG60zrVetg62zreOuF65Hrneun67HruuvD68vr0uvW69nr2evX69Tr0OvM68nrx+vF68XrxOvD68LrwOu/677rveu9673rvuu/68DrwuvF68jrzuvT69nr3+vj6+br5+vp6+rr7Ovw6/br/OwE7AvsEuwX7BzsIOwj7CbsKOwq7CzsL+wy7DfsPOxE7EzsVOxc7GPsaOxs7G/scex07HjsfOyB7IfsjOyR7Jbsm+yh7Kfsruy27L3sw+zI7MvszuzQ7NPs1+zc7OTs7Oz17P7tB+0P7RjtIO0o7TLtPe1I7VTtYe1t7XnthO2O7Zftnu2j7abtqO2q7artrO2u7bLtuO3A7crt1e3h7e7t+u4H7hTuIe4v7j/uT+5h7nPuhe6X7qbutO7A7sru1O7c7ubu8e7+7w3vHu8v7z/vT+9d72nvcu95737vgu+D74Pvgu+B74DvgO+B74Xviu+S75zvpu+x77rvw+/L79Pv2+/i7+vv8u/68AHwBvAJ8ArwC/AM8A7wEvAY8CLwLfA78ErwWfBo8HbwhPCS8KDwrvC98M7w4PDz8QfxHPEx8UbxWvFt8YDxk/Gl8bjxy/Hf8fLyBfIX8ifyNfJC8k7yWfJl8nLyf/KO8p3yq/K48sTyzvLY8uHy6/L28wHzDvMa8yXzL/M38z/zRfNN81bzYPNt83vzivOX86Tzr/O488HzyfPR89vz5PPu8/fz//QH9A/0F/Qh9Cz0OPRH9FX0ZPRz9IL0kfSg9LD0wfTS9OT09PUE9RP1IvUw9UD1UPVh9XP1hfWX9ab1tfXB9c312PXk9e/1+vYE9g72F/Yf9ij2MvY+9kz2XPZr9nn2h/aR9pv2pPas9rb2v/bJ9tP23Pbk9uv29Pb/9wz3G/cr9zr3RvdP91X3Wvdi92/3gved97v32vf2+Ar4Gfgk+DD4Qvhg+Ir4vPjw+R75P/lO+Uz5QPkx+Sr5NflU+YX5w/oC+jf6W/pq+mf6VvpC+jP6Lvo2+kv6Z/qG+qP6vfrS+uT69/sL+yL7PPtY+3L7ivug+7P7xPvW++n7/fwT/Cn8P/xV/Gn8fvyU/Kz8xvzk/QT9Jf1H/Wf9hf2h/bv90/3q/gH+GP4w/kv+aP6I/qr+z/71/xv/Qv9p/47/sf/S//EADgAqAEQAXgB4AJMAsADOAO4BDgEvAVABcAGPAa0BzQHvAhQCPQJrAp8C1wMSA1EDkAPOBAkEQARxBJ0EwgTkBQIFHwU8BVcFcgWKBZ0FqwW0BbsFwwXRBecGCAYzBmMGlAbABuEG9Ab4BvEG4wbSBsQGuwa5BrsGvwbDBsUGxQbABrsGtAauBqsGqwayBr4G0gbrBwcHIQczBzkHLAcLBtcGlwZSBhIF3wW+BbAFsQW6BcMFxQW8BacFhwVjBUAFIgULBP0E9ATvBO0E7QTwBPcFBAUXBS8FSQVhBXYFgwWJBYgFggV6BXEFaQViBVwFVgVRBU0FSwVLBU0FUgVZBWAFZQVoBWkFaAVmBWUFZAVkBWYFaAVqBWoFagVoBWYFYwVgBVwFVwVSBUwFRQU/BTgFMgUrBSIFFwUJBPcE4wTPBL4EsASnBKQEpASmBKYEpASdBJEEgwR0BGcEWwRSBEwERwRCBDwENQQtBCQEHAQVBA8ECwQHBAMD/gP4A/ID6wPkA94D2QPWA9QD0wPTA9MD0wPSA9ADzAPHA8EDuwO2A7IDrgOsA6oDpwOiA5wDlQONA4QDewN0A20DZgNfA1gDUQNJA0IDPAM3AzUDNAM0AzQDNQM2AzcDOAM6AzwDPwNBA0IDQQM/AzsDNwMzAzIDMwM2AzoDPwNEA0gDSgNMA04DUQNVA1sDYQNoA28DdQN8A4QDjQOYA6YDtAPDA9ED3gPpA/ED+AP+BAQECgQSBBsEJAQvBDoERARPBFkEYgRsBHYEgQSPBJ8EsgTKBOYFBQUoBTQFWQV9BaAFwgXhBf0GFgYsBjwGSAZOBk8GTAZGBj4GNwYyBi4GLQYtBi0GLQYsBiwGLQYvBjQGPQZIBlYGYwZwBnsGgwaKBpEGmAagBqsGuQbIBtgG6Ab3BwUHEwchBy8HPgdNB1wHaQd1B30HgweGB4cHhQeDB34HdwdtB2AHUAc+BywHGwcOBwYHBAcGBwsHEQcXBxsHHAccBxsHGwccBx4HIQckBycHKAcpByoHKwctBzEHNQc6Bz0HPwc/Bz4HPQc8Bz4HQgdHB0wHUgdVB1gHWgddB2QHbQd6B4oHmQepB7YHwQfNB9gH5gf1CAMIDQgQCAkH+AfhB8gHtQevB7wH3QgOCEoIhwi+COcJAAkLCQwJCQkICQ0JGQksCUIJVglnCXEJdwl5CXoJfQmDCYwJlwmjCa4JuAnBCckJ0QnbCecJ9QoEChQKJQo2CkcKWApqCnoKigqXCqIKqgqvCrQKuAq/CsgK1ArkCvYLCgsgCzcLUQtuC40LrAvLC+UL9wwAC/0L8QvfC8oLuQuuC6wLsgu/C84L3gvtC/wMDAwhDD0MYQyNDLoM5A0EDRUNFg0HDOwMzAytDJIMfQxuDF8MTww4DBsL9wvRC6sLiAtsC1QLQAsrCxIK9QrTCq4KigpqCk8KPAovCicKIQoeChsKGwoeCiUKMgpDClYKaQp3Cn4KewpuClcKOgoaCfgJ2gm/CasJngmWCZMJkwmUCZQJjwmGCXYJYAlGCScJCAjoCMsIsAiXCH8IaQhUCEAILQgcCA4IAgf4B+8H5gfaB8wHuweoB5MHfwdsB1sHTAc/BzEHIwcTBv8G5wbMBq4GjAZoBkQGIAX+BeAFyQW4Ba8FrQWvBbMFtQW1Ba8FpQWXBYgFewVvBWYFXwVWBUsFOwUlBQoE7ATOBLIEmQSFBHUEZwRYBEcEMgQYA/sD2QO2A5MDcANQAzMDGQMEAvMC5ALWAsgCtgKeAoACWwIwAgIB1AGnAX8BWwE6ARwA/gDfAMAAoACCAGgAUgBCADUAKQAdAA3/+f/g/8X/qv+R/33/bv9k/13/Wf9T/0z/Qv81/yb/FP7+/uT+xP6c/mz+NP31/bX9d/1A/RP88fza/Mr8vfyt/Jj8evxW/C38BPvg+8P7r/uk+5z7lPuH+3H7Ufso+vj6xfqS+mP6N/oN+eT5u/mP+WH5MfkC+Nb4r/iP+HT4XfhK+Df4JPgS+AP3+ff29/v4BvgW+Cb4Mfgy+Cb4C/fj97L3e/dE9xL25vbA9qD2gPZd9jP2APXF9YT1QfUC9Mv0n/R/9Gn0XfRU9Ez0QvQ09CL0DfP48+bz2PPQ883z0PPU89nz2vPU88bzr/OR823zSPMl8wjy8vLj8tny0PLF8rTynPJ/8mHyRfIv8iTyIfIl8iryKvIi8g7x8PHL8aTxgvFn8VfxTvFL8UfxQPEy8R3xAvDi8MHwofCC8GXwSfAs8A/v8e/U77nvoe+L73nvaO9Y70fvNe8j7xHvAe7z7uju3u7U7svuwe607qfumO6K7nvubO5e7k/uQe407ijuH+4Z7hTuEe4N7gft/e3w7eHt0e3D7bjttO217bztx+3U7eHt7e347gDuBe4H7gXuAO337evt4O3W7dLt1e3g7fTuDu4q7kTuWu5p7nLudO5y7m/ubO5r7mvua+5q7mfuYO5X7kvuPu4x7ibuHe4W7hHuDe4K7gjuB+4H7gfuB+4F7gLt/O3y7ebt2O3J7bvtre2h7Zbti+2A7XPtZe1W7UbtNu0o7RvtD+0C7PTs4+zO7LfsnuyE7G3sWexJ7D7sNewu7CfsH+wU7Afr+Ovn69brxOuy657riOtx61nrQesr6xjrCusC6wHrBOsM6xbrIOso6y3rL+ss6yXrGusO6wHq9ert6unq6erv6vrrCesb6y7rQutV62jreuuL65rrpuuv67Xrt+u267Lrreun66Lrnuua65jrleuS64/ri+uI64XrhOuD64Lrg+uE64XrhuuI64rrjuuT65jrneui66brquus66/rseuz67frvOvB68jrz+vW693r4+vn6+vr7Ovt6+zr7Ovt6/Dr9ev97AbsD+wY7B/sJOwo7CrsK+wt7DDsNOw57D7sQ+xH7ErsTuxR7FbsXuxn7HHsfOyG7JDsl+yd7KLspuyq7K/stOy77MHsx+zN7NPs2ezf7Obs7uz47QPtEO0c7SjtNO0/7UntUu1a7WLtaO1v7XTteO187YDthe2L7ZPtnO2o7bTtwu3Q7d3t6u337gXuE+4j7jTuRu5Z7mrue+6I7pTunu6m7q/uue7E7tLu4e7x7wHvEO8e7yzvOO9D707vV+9f72Xvae9q72nvZ+9k72PvY+9n72zvdO9974Xvju+W753vpO+r77Tvve/I79Lv3e/l7+zv8O/07/bv+O/88AHwCPAS8B7wK/A68ErwWvBq8Hrwi/Cc8K7wwfDV8Onw/vET8SnxPfFR8WTxd/GK8Z3xr/HC8dTx5vH28gbyFfIi8i/yO/JH8lTyYPJt8nryhvKR8pzyp/Ky8r7yyvLX8uTy8PL68wPzC/MS8xjzIPMp8zXzQvNR81/zbfN684TzjfOV853zpfOu87fzwfPK89Tz3PPl8+/z+/QH9Bb0JfQ09EP0UvRg9G30e/SL9Jz0r/TC9NX05/T39Qb1FPUi9TH1QvVU9Wf1evWL9Zv1p/Wz9b31x/XS9d316fX09f72B/YP9hj2IvYs9jn2RvZU9mD2a/Z09nz2hPaM9pb2ofat9rn2w/bN9tb23/bp9vb3BPcU9yP3MPc690H3SPdR9173cfeL96j3x/fi9/j4CfgW+CP4NPhO+G/4lvi++OD49vj/+Pv48fjq+O/5Bvkx+W/5tvn8+jb6XPpq+mT6T/o0+h76FPoY+in6Rfpl+oX6ofq5+sz63vrw+wT7G/sz+0z7Y/t5+477ofu0+8n73vv1/Av8Ivw3/Ev8Xvxz/Ij8ofy8/Nr8+v0b/Tv9Wv14/ZP9rf3E/dv98/4L/iT+QP5e/n7+n/7C/uX/CP8q/0z/bf+P/7D/0v/0ABcAOQBZAHkAlwC0ANAA7AEKASkBSgFuAZUBvwHtAh0CUAKGAr8C+AMyA2sDogPWBAYEMARXBHkEmQS4BNgE+AUZBTkFVgVtBX4FiQWPBZMFnAWsBcgF7wYfBlMGhgaxBs4G3AbbBs0GtwafBogGdQZnBl4GVwZTBlAGTgZMBksGTQZQBlYGXwZsBn0GlAavBssG5Ab1BvgG6gbJBpgGXAYdBeUFuwWjBZsFoAWrBbIFsAWiBYcFZQU/BRwFAATsBN8E1wTPBMgEvwS4BLUEtwTCBNME6wUEBRsFLwU8BUQFSAVIBUYFQwU/BToFMwUqBSAFFwUQBQ4FDwUTBRoFIQUnBSoFKwUqBSkFKAUpBSsFLgUyBTUFNwU3BTUFMQUqBSIFGAUNBQIE+ATwBOkE5gTjBOEE3QTXBMwEvQSsBJoEigR8BHMEbQRqBGgEZARfBFYETARABDQEKQQfBBYEDgQGA/0D9APqA+AD1wPRA80DygPIA8cDxQPBA7wDtgOwA6oDpgOjA6IDogOjA6QDpAOkA6IDnwObA5YDkQOMA4cDggN+A3kDdANuA2gDYgNcA1UDTwNIA0EDOQMxAygDHwMWAw8DCgMHAwYDBwMIAwsDDQMPAxEDFAMYAxwDIAMjAyUDJQMjAyADHQMbAxsDHQMgAyUDKgMuAzEDMgMzAzMDNQM4AzwDQgNKA1IDWwNlA28DfAOJA5gDpwO1A8IDzQPVA9wD4QPnA+0D9QP+BAkEFAQgBCsENQQ/BEkEUgRbBGUEcAR9BIwEnwS2BNAE7wURBSQFRgVoBYgFpQW+BdIF4wXwBfoF/wYCBgIGAAX+Bf0F/AX+BgEGBQYJBgsGDAYMBgwGDQYQBhcGIgYwBj8GTgZaBmQGagZuBnIGdwZ/BosGnAavBsQG2QbuBwIHFQcnBzkHSgdbB2kHcwd4B3kHdAdsB2MHWgdSB0sHRgdABzgHLAcdBwwG+QboBtsG0wbRBtQG2wbkBu0G9Qb6Bv0G/wcABwEHAgcEBwUHBgcHBwgHCAcIBwgHCAcIBwgHBwcHBwcHCQcNBxMHGgciBykHLgcyBzUHOAc8B0MHTQdZB2cHdQeDB5EHngesB7sHygfYB+MH5gfhB9QHwAerB5sHmAemB8gH+wg4CHgIsQjcCPUI/gj6CPEI6gjqCPMJBQkcCTMJRQlPCVEJTglICUMJQwlICVIJXwltCXoJhgmQCZkJowmuCboJxwnUCeEJ7gn8CgsKHQoyCkkKYQp4CosKmQqjCqgKrAqxCrgKxArUCugLAAsZCzQLTwtqC4YLoAu4C8sL2AvcC9kL0QvIC8MLxQvSC+kMCQwsDE0MaQx+DIwMmAyoDMAM4w0RDUYNeg2mDcINyg29DZ4Ncw1DDRQM6wzIDKwMkQx3DFkMOAwVC/ELzwuvC5ILdgtZCzoLGArzCs0KpwqGCmsKVQpFCjkKLwolChwKEgoLCgcKBwoLChMKHQolCisKLAomChkKBwnwCdUJuwmhCYsJegluCWkJaAlpCWsJaglkCVcJQgknCQcI5wjHCKsIkgh9CGsIWwhKCDkIJwgVCAMH8wfkB9YHyAe5B6kHlweFB3IHYAdOBz0HLAcaBwUG7AbQBrEGjwZtBk0GLgYSBfkF4wXSBcQFvAW6Bb8FyQXWBeYF8wX7Bf4F+QXuBd8FzgW8BasFmQWHBXEFVwU3BRQE7wTLBKwEkwSBBHYEbgRnBF0ETQQ1BBcD8gPJA6ADeANUAzQDGwMGAvYC5wLYAscCsAKTAm8CRQIXAeUBtAGEAVYBKwEBANkAsQCLAGgASgAyACEAGAATABAACf/8/+b/yP+j/3z/Wf8+/y7/Kf8v/zr/Rv9P/1L/Tv9D/zP/If8M/vX+2v65/pD+Xf4i/eH9nf1d/SP88/zL/Kv8jvxx/FD8Kvv++9D7ovt6+1n7Qfsx+yb7HPsR+wH67PrS+rX6mPp8+mL6SPou+hH57/nJ+Z75cflD+Rj48fjO+K74j/hw+E/4LPgI9+f3y/e296z3qvev97f3vPe69633lvd09033Ivb79tn2v/as9p32jfZ49lr2M/YC9cr1kvVc9S/1DPTz9OT02vTR9Mb0t/Sj9Iv0cPRW9D70K/Qd9BP0DPQG8/3z8PPc88LzoPN4807zJPL98tvywvKv8qHylvKJ8nfyYfJF8ijyCvHy8eDx1vHS8dDxzfHG8bjxpPGL8XLxXPFL8UDxOfE18TDxJvEW8P/w4/DF8KXwh/Br8FDwNvAb8ALv6e/R773vru+j75zvmO+V75LvjO+E73rvbe9f707vPO8p7xPu/O7k7szutO6e7orud+5m7lbuR+467i/uJu4h7h7uHe4c7hruFe4M7gLt9u3r7ePt3+3h7eft8e397gnuFe4e7iXuKe4n7h/uEO367d7tvu2e7YPtce1r7XLthO2f7b7t2+3y7gHuCO4J7gbuAu4B7gPuB+4O7hPuFu4U7g7uBO337ert3u3T7crtxO2/7bztuu247bfttu217bPtr+2q7aHtl+2L7X/tc+1o7V3tVO1M7UPtOe0t7SDtEu0D7PTs5ezV7MbstOyh7Izsdexc7ETsLuwb7AvsAOv46/Lr7Ovl693r0evD67ProOuN63nrZOtQ6zzrJ+sU6wHq8Orh6tbq0OrO6tHq1+rf6ujq7urw6u3q5erY6sfqt+qn6pzqluqW6pzqp+q16sbq2ers6wDrFOso6zzrTute62rrcet163Trcett62frYute61rrV+tU61DrTetL60nrR+tH60jrSetK60vrTOtN607rUOtS61frXOti62nrcOt263zrgOuE64frieuM64/rlOuZ65/rpuut67Lrteu367frtuu167XruOu868Pry+vU69zr4uvn6+rr7Ovu6/Dr8+v26/nr/ewA7ALsBOwH7AzsE+wd7CjsNuxD7FDsXOxl7Gzscux27Hvsf+yE7Irsj+yU7Jrsn+yl7Kvssuy57MDsyOzP7Nbs3ezk7Ozs9ez/7QvtGO0l7THtO+1D7UrtUO1W7V7tZ+1y7X/tje2c7antte3B7czt2O3l7fTuBe4X7iruPe5N7lvuZ+5x7nvuhO6P7prup+607sLuz+7b7uju9e8D7xHvIO8v7zvvRe9K70zvSe9F70DvPe8970DvRe9O71fvYO9p73Dvd+9+74bvju+Z76TvsO+878bvz+/W79rv3u/i7+bv6+/y7/vwBvAT8CLwM/BE8FfwavB+8JLwpvC78NDw5vD78RDxJfE68U7xYvF18YfxmfGr8bzxy/Hb8enx9vID8hDyHfIq8jfyRPJR8l3yafJ08n/yivKW8qLyrvK68sby0fLb8uPy6/Lz8vzzBvMR8x7zK/M480TzT/NY81/zZ/Nv83jzgvON85jzovOs87XzvvPH89Lz3vPt8/z0DfQc9Cv0OfRG9FP0YfRy9IT0mPSs9MD00/Tk9PP1AvUR9SH1M/VG9Vn1avV69Yf1kfWa9aP1rPW29cH1zvXZ9eX17/X39gD2CfYT9h/2K/Y29kH2SvZR9lf2XvZn9nL2f/aN9pv2qfa09r72x/bP9tr25vb09wP3Efce9yn3M/c/9033YPd495T3svfO9+f3+/gL+Bn4J/g5+E/4aPiA+JT4ofil+KP4oPii+LD4zvj++Tz5gPnD+fn6Hvou+iz6HfoK+fr59Pn7+g76K/pL+mz6iPqh+rX6xvrW+uj6+/sP+yT7OvtO+2L7dfuJ+577tPvM++T7/PwU/Cz8Q/xa/HL8jPym/ML83vz7/Rf9M/1O/Wj9gv2b/bT9zf3o/gP+H/49/lv+ev6Y/rb+0/7v/wz/Kf9I/2v/kP+5/+MADAA0AFgAeACVAK8AyQDlAQYBLAFZAYwBxQIBAj4CewK3AvEDJwNbA4wDuQPhBAYEJQRCBFsEdASOBKoEyATnBQUFIQU3BUgFVAVdBWcFdgWMBawF1AYBBi8GVwZ1BoYGigaCBnIGXgZKBjcGKAYaBg0GAgX2BewF5QXhBeMF6wX3BggGGgYvBkUGXAZ0BowGoQavBrIGpgaLBmEGLQX3BcQFmwWABXIFbgVuBW0FZQVUBToFGwT7BN8EygS6BLEEqgSiBJkEjwSFBH8EfgSEBJIEpQS7BNEE5ATyBPwFAwUHBQoFDAUMBQoFBQT9BPQE6gThBNwE2wTcBOAE5QToBOgE5gTiBNwE2ATWBNYE2QTdBOIE5gTpBOoE6ATjBNsE0QTFBLgErAShBJoElgSVBJcEmASYBJUEjgSCBHQEZARVBEgEPQQ1BC4EKQQjBBwEFAQLBAED+APwA+gD4APXA84DxQO7A7IDqgOkA58DnQObA5oDmAOVA5EDjQOIA4MDfwN8A3oDeAN3A3YDdgN1A3MDcgNvA20DaQNkA18DWANQA0kDQQM7AzQDLwMrAycDIwMdAxcDDgMFAvsC8QLpAuQC4QLhAuMC5wLqAu0C8ALzAvUC+QL9AwIDBwMLAw8DEQMRAxADDwMOAw8DEQMUAxgDHAMfAyEDIgMjAyQDJgMpAy4DNAM8A0QDTQNXA2IDbwN8A4oDmAOkA7ADuQPAA8cDzQPUA9wD5QPwA/sEBwQTBB8EKQQ0BD4ERwRSBFwEZwR0BIMElQSqBMQE4QUBBQkFJwVEBV4FdAWHBZcFowWtBbUFuwW/BcIFxAXFBcgFywXPBdUF2wXhBecF6wXuBfAF8wX4Bf8GCAYUBh8GKgYyBjgGPAY/BkMGSgZVBmUGeQaPBqcGvgbUBukG/AcOByEHMgdCB08HVgdWB08HQgcxBx4HDAb+BvMG7AboBuMG3AbSBsUGtwapBp4GmAaZBp8GqQa2BsMGzQbVBtkG2gbZBtgG2AbZBtoG3AbeBt8G3wbdBtgG0wbOBskGxgbFBscGzQbWBuEG7Ab3BwAHBwcLBw8HEgcXBx0HJgcwBz0HSwdaB2sHfQeSB6YHuAfFB8sHxge3B6AHhgdvB2UHbAeKB7wH/QhGCIsIwwjpCPsI+wjxCOQI2wjcCOYI+QkOCSAJLAkvCSsJIgkZCRQJFAkbCScJNQlDCU8JWQliCWwJdwmFCZQJpAm0CcMJ0QneCe0J/woVCi8KSwpmCn0KjwqbCqEKpQqoCrAKvQrQCukLBwsmC0YLZAuAC5kLrgu/C8oL0AvQC80LygvLC9UL7AwRDEMMfQy6DPENHw1ADVUNYw1vDYENng3FDfUOJw5TDm8Odw5oDkMODw3RDZINWA0mDP0M3Ay+DKEMgwxkDEIMIAv+C90LvAucC3wLWgs3CxQK8grRCrMKmQqBCmsKVgpBCi0KGQoGCfUJ5wncCdUJ0AnOCc4JzgnOCcsJxQm6CasJmAmBCWkJVAlDCTkJNQk4CT4JQwlECT0JLgkWCPkI2Ai5CJ0Ihwh3CGwIYwhaCE4IPwgtCBcIAAfoB9AHuAeiB40HegdnB1UHQwcwBxwHBAboBsgGowZ8BlUGMgYUBf0F7gXmBeMF4wXkBeUF6AXrBfIF+wYHBhQGIAYoBisGJgYbBgoF9gXhBcwFuAWjBYwFcgVVBTMFEATtBM4EtgSlBJoEkwSMBIIEcQRYBDUEDAPeA68DggNaAzgDHQMGAvIC3gLJAq8CkAJsAkMCFwHpAbsBjQFgATMBBwDbAK8AhQBdADsAIAAOAAT////9//f/6v/S/6//gv9R/yL+/P7k/t3+5/7+/x3/Pf9Y/2n/cP9s/1//Tf83/x//A/7j/rz+jP5U/hb90/2P/U39EfzZ/Kf8d/xH/Bb74/ut+3j7RfsX+u76zfqy+pv6h/p1+mT6U/pE+jf6Lfol+h76FvoL+fv55fnJ+aj5hvlj+UH5IfkC+OL4wPiZ+G74P/gN9933sveO93P3YPdU90v3Qvc19yL3CPbo9sb2pfaJ9nP2ZPZb9lX2TvZE9jL2GPX49dL1rPWH9Wn1UPU99S31H/UP9Pz05PTJ9Kz0j/R09F30SfQ49Cn0G/QL8/jz4fPF86TzfvNT8yTy9PLD8pXybPJJ8i3yGPIH8frx7vHi8dXxx/G68a3xofGW8Yvxf/Fy8WPxUvFA8S7xHvEQ8QTw+fDw8OTw1/DG8LPwnvCH8HDwWPBA8CjwDu/z79nvwO+r75vvke+N74/vlO+b76Pvqe+s763vqe+h75Tvg+9s71HvMu8S7vHu0+647qHuje597nDuZO5b7lPuTe5K7knuSe5I7kbuQu477jLuJ+4e7hjuFe4Y7h/uKe407j/uSe5Q7lTuU+5M7j/uKO4J7eDtsO1+7U7tJ+0M7QLtCO0b7TjtV+1z7Yntle2Z7Zftk+2R7ZLtmO2h7azttu297b7tu+2y7aftm+2Q7YXtfO117W7tae1m7WTtZO1n7Wvtb+1y7XLtbu1l7VjtSO027SXtFu0K7QHs+Ozx7Ojs3uzS7MTstOyk7JTshOxz7GHsT+w77CXsD+v56+Xr0+vE67jrsOuo66HrmOuO64LrdOtl61XrRes16ybrFusF6vPq4erP6r7qr+qk6p7qnOqe6qPqp+qq6qnqpOqb6o7qgOpz6mnqYepe6l7qYepl6mvqc+p86ojqmOqq6r/q1err6v7rDusa6yHrJOsj6yHrHesa6xfrFOsQ6w7rC+sJ6wfrBusG6wfrCesL6w3rD+sR6xPrFesY6xzrIesn6y7rNus+60brTOtS61XrWOtZ61vrXetg62Tra+ty63nrgOuF64frh+uF64PrguuC64XriuuS65rrouup66/rtOu367rrveu/68LrxOvG68jryuvM69Dr1evc6+br8ev97ArsFewg7CjsL+w27DvsQexH7E7sVexd7GXsbOx07HvsguyH7I3skeyU7Jfsmeyc7KDsp+yw7LvsyOzW7OPs8Oz67QPtC+0T7RztJ+0z7ULtUe1g7W7teu2E7Y7tmO2k7bHtwu3U7ejt/O4O7h/uLe467kbuUO5c7mfuc+5/7orule6g7qvut+7F7tXu5u737wfvE+8b7x7vHe8Y7xPvDu8M7w7vFO8d7yjvNO8+70jvUO9X713vZO9s73Xvf++J75Tvnu+n77Dvt+++78bvze/V79/v6u/28AXwFfAn8DrwTvBj8HjwjvCk8Lrw0PDl8PvxEfEm8TvxT/Fj8XbxiPGZ8ajxt/HE8dHx3fHp8fXyAvIP8hzyKvI48kXyUfJc8mfycvJ88ofykfKb8qXyrvK38sDyyvLU8t/y6/L38wTzD/MZ8yLzKfMw8zbzPvNI81PzX/Nt83nzhfOP85fzn/Oo87LzvvPN893z7fP+9A30HPQq9Dj0SPRZ9Gz0gPSU9Kf0ufTK9Nn06PT49Qn1G/Uu9UD1UPVe9Wn1cvV69YL1jPWX9aX1svW/9cr10/Xb9eL16vX09f/2C/YY9iP2LPYz9jn2P/ZH9lH2XfZs9nv2ifaW9qD2qPaw9rr2xfbT9uL28/cD9xL3H/ct9z33T/dm94D3nfe699X37Pf++A74G/gn+DX4Q/hR+F74Z/hs+G/4cvh5+In4pfjM+P35M/lo+Zb5ufnP+dj52vnY+dj53vns+gH6G/o4+lT6bvqF+pj6qvq6+sz63vry+wb7G/sv+0P7V/tr+4D7lvut+8X73vv4/BL8LPxH/GL8fvyZ/LT8zfzm/P39FP0r/UL9Wv1y/Yz9p/3D/eH9//4f/j/+X/5+/pz+uP7T/uz/Bv8h/z7/YP+E/6z/1P/8ACIARABkAIQApADJAPQBJgFgAaAB5AIoAmsCqgLjAxcDRwNxA5gDvAPdA/oEFAQqBD8EUgRmBHoEkQSoBL8E1QToBPkFCAUYBSsFQwViBYgFsAXYBfsGFQYiBiQGHAYOBf4F8AXlBd4F2QXSBckFvAWrBZoFjAWEBYUFjwWhBbkF0wXvBggGIAY1BkcGVAZcBlsGTwY3BhQF5wW2BYYFWwU5BSEFEgUIBP4E8wTjBM8EugSkBJIEhAR6BHMEbgRnBGAEVwRQBEsETARSBF8EbgSABJAEnQSmBK0EsgS2BLsEwATFBMkEygTJBMUEvwS5BLQEsQSwBLAErwStBKgEoQSYBI8EhwSABH0EfAR+BIIEhQSJBIwEjQSMBIgEgwR7BHEEZwRdBFQETgRLBEsETARNBE4ESwRGBD0EMgQmBBkEDgQEA/sD8wPtA+YD3gPXA9ADyAPBA7oDswOrA6QDnAOUA40DhgN/A3oDdgNzA3ADbQNqA2YDYgNfA1sDVwNUA1EDTgNLA0kDRwNGA0UDRANDA0IDQAM8AzYDLwMmAx0DFQMNAwcDAwMAAvwC+QL0Au0C5gLdAtUCzgLJAscCyALKAs8C1ALYAtwC3wLhAuQC5wLrAvAC9QL5Av0C/wMAAwEDAgMDAwUDCAMLAw4DEgMUAxYDFwMZAxsDHgMiAygDLgM1Az0DRQNNA1cDYgNuA3oDhgOSA5wDpgOuA7YDvgPGA9AD2wPnA/MD/wQLBBYEIQQrBDYEQQRMBFcEYgRvBHwEjASfBLYEzwTsBNEE5wT8BQ8FIQUxBUAFUAVfBW4FfAWJBZMFmwWgBaMFpQWnBaoFrwW1BbwFwwXLBdMF2wXjBesF8wX6BgEGBwYLBg8GEgYWBh4GKQY5BkwGYgZ5Bo4GoQayBsAGzQbZBuYG9AcABwoHEAcOBwYG9gbhBsoGtAahBpMGiwaGBoQGgQZ+BngGcgZrBmgGaAZsBnYGggaQBp0GpwauBrAGsAauBqwGqwasBq0GrwaxBrEGrgapBqIGmQaRBooGhgaGBosGkwafBqwGuQbFBs8G1wbcBuEG5gbsBvMG/AcHBxQHIwc1B0oHYgd8B5UHqge3B7kHrweYB3oHWwdEBzwHSwdxB6wH9ghFCI0IxgjrCPsI+gjuCOAI1wjVCN0I6wj6CQUJCwkJCQEI+AjxCO8I9Aj+CQsJGQklCS4JNAk6CUIJTgleCXMJiwmjCbsJ0AnkCfgKDgomCkAKWgpzCocKlQqcCp8KnwqiCqkKuQrRCvALFgs+C2YLjAuuC8sL4gv0DAAMBQwFDAMMAQwFDBQMMQxfDJwM5Q0zDX4NwQ32DhwOOA5MDl8Odw6UDrcO2w75DwsPCg70DsoOjw5KDgMNvg2CDU8NJA0ADOAMwQygDH4MWww4DBYL9gvYC7wLoQuGC2sLTwsyCxMK8wrTCrMKkwp1ClcKPAohCgcJ7gnWCcAJrAmcCZEJiwmKCYsJjAmLCYMJdAlfCUQJKQkRCQEI+gj+CQkJGQknCS8JLgkkCRAI+AjfCMkIugixCK8IrwiuCKkIngiKCG4ITAglB/0H1QevB4wHbQdRBzgHIQcJBvAG0wayBo4GZwZBBh8GBAXyBesF7QX2BgIGDwYYBh0GHgYdBh0GHQYhBigGLwY0BjQGLgYhBg4F9wXgBcoFtgWlBZUFhAVxBVoFQAUkBQkE8ATcBMsEvQSvBJ4EhwRpBEMEFwPoA7gDigNiAz8DIgMIAvEC2AK9Ap4CewJUAisCAQHWAawBggFZAS8BBgDbALIAigBmAEcALwAdABAABP/2/+P/xv+g/3L/Pv8M/uD+wf6z/rj+zv7y/xz/R/9t/4n/mf+c/5X/hP9t/1D/Lf8G/tr+qf5y/jf9+v27/X39QP0E/Mn8jvxU/Br74Puo+3L7QPsR+ub6vvqY+nT6Ufox+hX5/fns+eL53Pnb+dz52/nX+c75wPms+Zb5fvll+U35M/kZ+Pv42Pix+IT4U/gg9+73wPeW93P3Vfc89yX3Dvb29tv2vPab9nr2WvY99ib2FPYI9f/1+fXy9er13/XS9cL1svWh9ZD1f/Vs9Vj1P/Uj9QP04PS+9J30gPRn9FL0QfQy9CP0FPQC8+7z2PO+86DzffNT8yLy6vKs8mvyK/Hw8cDxnfGI8YHxhfGQ8Z7xq/Gy8bTxrvGi8ZHxfPFm8VDxOfEk8RDw/PDq8Njwx/C38KjwnPCR8InwgfB68HDwZPBT8D3wIvAF7+jvzO+176PvmO+S75LvlO+Z757vpO+p763vr++u76jvnO+K73HvUu8x7w7u7u7R7rrup+6Y7o3ug+577nPubO5m7mLuXu5Z7lLuSu4+7jLuJe4a7hPuEu4W7h/uK+457kXuT+5V7ljuVu5O7kDuKu4L7ePts+1+7UjtGez07N/s2+zn7P7tHO057VHtYO1l7WHtV+1N7UTtQO1B7UbtTe1U7VjtWu1Y7VPtTe1F7TztMu0o7R3tE+0L7QbtBu0N7RjtJ+037UTtSu1H7TvtJ+0N7PHs1+zA7LDspOyd7JjskuyL7IDsc+xl7FXsR+w67C3sIOwS7AHr7evW677rpuuQ633rbeti61nrUutL60PrOusw6yXrGesN6wDq9Orm6tjqyOq36qXqlOqF6nnqcepr6mjqZupk6mHqXOpW6k/qSOpC6j3qOeo26jPqL+op6iTqH+oc6h3qI+ou6j/qVOps6oPqmeqs6rvqxerN6tHq0+rT6tPq0erP6szqyOrE6sHqv+q96r7qv+rC6sXqyurP6tXq2urg6uXq6eru6vPq+Or+6wTrCesP6xTrGOsb6x7rIOsi6ybrLOsz6zvrROtL61HrVOtV61TrUetP607rUOtU61vrY+tr63Tre+uC64frjOuQ65PrluuY65nrmuua65vrnOuf66Trq+u0677ryevT697r5+vw6/nsAuwK7BPsHewm7C/sOOxA7EjsT+xW7FvsYOxk7Gjsa+xt7HDsdOx57H7sheyN7JXsneyl7K3stuzA7Mvs2ezo7PntCu0b7SrtOO1E7U/tWu1m7XTthe2X7artvu3R7ePt8+4C7g/uG+4o7jTuQe5N7ljuY+5t7nfug+6P7p3urO677sju0+7b7t7u3e7a7tbu0+7S7tXu3O7m7vPvAO8O7xrvJe8u7zXvOu9A70bvTe9U713vZ+9x73zvie+V76Lvr++878rv1+/m7/TwBPAV8CbwOvBO8GPwePCP8KXwu/DS8Ojw/vEU8SnxPvFS8WbxePGJ8Znxp/G08cDxy/HX8eLx7fH58gXyEvIf8ivyNvJB8kvyVfJe8mfyb/J48oDyiPKR8prypPKv8rryxvLS8t3y5/Lw8vjy//MG8w/zGPMj8zDzPvNM81nzZPNu83bzfvOH85Lzn/Ou877z0PPh8/L0AvQS9CL0NPRG9Fn0bPR/9JD0oPSv9L30zPTb9Oz0/fUO9R71K/U39UD1SPVR9Vz1aPV39Yf1lvWj9a71tvW89cH1x/XQ9dv16PX29gP2DvYW9hz2IvYo9jD2OvZH9lX2Y/Zw9nz2hvaQ9pr2p/a19sX21/bo9vj3B/cW9yX3N/dM92X3gfee97r30/fo9/n4CPgU+CD4LPg5+Eb4Ufhb+GT4a/h0+ID4kvir+Mv47/kX+T35YPl9+Zb5qfm5+cj52fnr+f/6FPoq+kD6Vfpp+n36kPqk+rj6zPrh+vf7DPsi+zj7Tvtk+3r7kfun+7370/vp/AH8Gfwz/E78afyE/J78t/zO/OT8+f0P/SX9Pf1V/XD9i/2o/cb95v4I/iz+UP51/pn+u/7a/vX/Df8i/zb/TP9j/37/m/+8/98ABQAuAFkAiQC/APoBOgF/AcUCCwJNAooCwQLwAxoDQANiA4MDowPBA9wD9AQJBBsEKwQ5BEcEVgRlBHQEgwSRBKAEsQTFBN8FAAUnBVIFfQWjBcAFzwXSBcgFtwWjBZAFhAV+BX4FgAWABXsFbwVdBUoFOAUsBSsFNgVKBWcFhwWnBcQF2wXtBfkF/wX+BfYF5QXKBacFfQVOBR8E8wTOBLIEnQSNBIIEeARuBGIEVwRMBEMEPQQ4BDUEMQQsBCYEIAQaBBYEFwQcBCQELwQ6BEQESwRQBFMEVgRaBGAEaQRzBHwEhASJBIsEigSHBIMEgAR8BHkEdQRwBGoEYgRZBFAERwRABDoENgQzBDIEMQQwBDAELwQvBC4ELQQqBCUEHgQXBA8EBwQCA/4D/QP+A/8EAAP/A/0D+APxA+kD4QPYA9ADyAPAA7kDsQOqA6IDmwOTA4wDhAN9A3YDbgNnA2ADWQNTA04DSANEAz8DPAM4AzUDMwMwAy4DLAMqAygDJgMjAyADHQMbAxkDGAMXAxUDEwMPAwoDBAL9AvYC7wLpAuQC4ALcAtgC0wLOAscCwQK6ArUCsgKwArECtAK4Ar0CwgLHAssCzwLTAtgC3ALhAuYC6gLtAu8C8QLyAvMC9QL3AvoC/gMBAwQDBgMHAwcDBgMHAwgDCwMQAxUDHAMjAyoDMwM7A0UDTwNbA2YDcgN9A4gDkQObA6QDrQO3A8MDzwPbA+gD9AQABAwEFwQiBCwENgRBBEoEVARdBGgEdASCBJMEpgS7BIcElQSkBLEEwATPBOEE9gUOBScFQAVXBWkFdwV/BYIFgQV/BX4FgAWFBY0FmQWmBbQFwQXNBdgF4AXnBesF7wXxBfQF+AX/BgoGGQYrBj8GVAZoBngGhAaMBpEGlAaXBpwGowarBrMGuQa6BrYGqwabBogGdQZjBlUGSwZGBkQGRAZFBkUGRgZGBkgGTAZTBlwGZgZxBnsGggaGBogGiAaGBoUGhAaDBoMGggaABnwGdwZvBmcGXgZXBlIGUQZVBlwGZgZyBoAGjAaXBqEGqQaxBrkGwgbLBtYG4gbvBvwHDAceBzMHSwdkB3wHkAebB5oHjQd2B1kHPQcrByoHPwdsB6wH+QhHCI0IwwjkCPEI7QjgCNAIxQjCCMcI0gjdCOYI6QjmCOAI2QjVCNcI3wjsCPwJCwkXCR8JJQkqCTEJPglQCWkJhwmmCcYJ5QoBChsKNApMCmIKdQqFCo8KkwqTCo8KjQqPCpoKrgrNCvULJAtVC4cLtgvhDAcMKAxCDFYMYwxqDGsMagxsDHUMiwywDOYNKg15Dc0OHg5nDqQO1Q77DxoPNA9ND2UPeQ+HD4kPfA9dDywO7Q6kDlYOCg3EDYYNUA0jDPwM1wy1DJMMcAxPDDAMEwv6C+QL0Au9C6oLlQt8C2ALQAsfCvwK2wq8Cp8KhApqCk8KMQoRCe8JzQmvCZUJhAl7CXgJeQl5CXQJZglPCTEJDwjwCNkIzgjRCOII+wkXCTAJQglKCUkJQQk2CS0JKAkpCS4JNQk4CTUJJwkOCOgIuQiCCEgIDQfVB6EHcwdLBygHCQbtBtMGuAadBoEGZgZNBjkGLAYmBigGMAY6BkQGSgZLBkYGPQYyBikGIwYkBikGMAY2BjgGMgYkBg8F9QXaBcEFrQWeBZMFigV/BXIFXwVHBSwFDwTxBNYEvASkBIsEcARTBDEEDAPkA7wDlQNxA1ADMgMXAv0C4wLIAqwCjQJsAkoCJgIBAdkBsQGHAV0BMwELAOUAxACmAI0AdgBgAEkALgAN/+b/uf+H/1T/JP76/tv+yf7F/s/+5P8C/yX/Sf9p/4T/l/+f/53/kP94/1b/K/75/sL+if5P/hb93/2q/XX9Qf0L/NT8nPxj/Cv79vvF+5n7cPtK+yT6/PrS+qX6dvpJ+iD5/Png+c35wPm5+bT5r/mp+Z/5k/mF+Xb5ZvlX+Ub5Nfkg+Qj46vjI+KL4ePhM+B/38vfG95v3cvdM9yf3BPbi9sL2ovaB9mH2QPYg9gL15vXO9bv1rvWn9aX1p/Ws9bD1svWw9an1nPWI9W31TPUn9QD02fS19JT0ePRh9E70PfQu9B/0D/P/8+7z3PPH86/zkPNo8zby9/Ku8l/yDvHD8YXxWPFB8T/xT/Fs8Y7xsPHK8drx3vHW8cXxrvGU8XnxX/FF8SzxE/D58ODwyPCz8KPwmfCV8Jbwm/Cg8KLwnvCT8IHwafBN8DDwFe//7+3v4O/X79Dvye/D773vuO+077Hvr++t76jvnu+O73fvW+887xvu/O7g7snutu6l7pbuh+537mfuVu5G7jjuKu4d7g/t/+3u7dzty+287bPtsO217cDtz+3g7fDt/e4G7gvuC+4H7f/t8u3e7cTto+187VTtLu0P7Pzs9uz+7RHtKu1F7VvtaO1r7WPtUu097SbtEu0C7Pbs8Ozt7O3s7+zx7PPs9ez07PHs6uzf7NHswOyw7KXsoOyl7LTsyezk7P3tD+0Y7RTtA+zp7Mnsp+yJ7HHsYOxU7E3sRuw+7DPsJuwW7Afr+evu6+Tr3OvU68nruuuo65Hreetg60nrNuso6x3rFesP6wnrAur56u/q4+rY6szqwuq36qzqouqW6orqfepw6mPqVupK6kDqNuos6iTqHOoV6hDqDeoL6grqCOoG6gLp++ny6efp3OnS6cvpyOnK6dLp3ent6f/qEuol6jjqSepY6mXqcOp56n/qguqD6oPqgep+6nvqeOp16nTqdep36nrqgOqI6pDqmuqi6qrqsOq16rfqueq76r3qwerG6szq0urY6t3q4erk6ufq6urv6vbq/usI6xDrGOsd6yDrIesg6x/rH+sg6yTrKesw6zfrQOtI60/rVutd62LrZ+tq62vra+tp62frZetk62Xraetv63jrg+uP65zrqOu067/ryuvU697r5+vw6/nsAOwH7A7sFOwa7CHsKOww7DfsPuxE7EnsTOxO7E7sT+xP7FDsU+xX7F3sZuxw7H7sjeye7LDswuzU7OXs9e0E7RLtIO0u7T3tTu1f7XLthO2X7ajtue3I7dft5e3y7f/uDO4Y7iPuLu457kTuTu5Z7mTub+567oTujO6R7pTule6U7pPuk+6V7pruou6t7rruye7Y7ubu9O7/7wnvEe8Y7x7vJO8q7zLvPO9H71TvY+9z74Xvlu+o77nvye/Z7+nv+PAI8BjwKvA88FHwZvB88JPwqvDB8Nnw7/EF8RvxL/FD8VXxZ/F48Yjxl/Gl8bLxvvHJ8dTx3vHo8fPx/fIG8hDyGfIi8ivyNPI88kXyTvJX8mDyaPJw8nnygfKK8pPynfKn8rHyu/LF8s/y2PLi8uzy+PME8xDzHfMq8zbzQfNM81bzYfNs83nziPOX86jzufPK89vz7PP99A/0IvQ29En0XPRu9H/0jfSb9Kn0t/TF9NT04/Tw9Pz1BvUO9RX1HPUm9TH1QPVR9WP1dfWE9Y/1l/Wd9aH1pvWt9bf1w/XQ9dz15/Xw9fb1+/YB9gj2EvYe9iz2O/ZK9lf2ZPZv9nv2iPaW9qb2tvbF9tX24/by9wH3E/co90D3W/d495T3rvfF99f35/f2+AT4Evgj+DT4RfhU+GL4bPh2+H/4iviZ+K34x/jm+Qj5LPlQ+XL5kPmr+cL51vno+fn6Cvoc+i/6Q/pZ+m/6hvqd+rT6yfre+vL7Bvsc+zL7Svtj+3z7lPus+8H71fvn+/r8Dfwh/Df8Tvxm/H78l/yv/Mf83/z4/RH9K/1G/WL9ff2a/bf91v33/hz+Q/5t/pf+wP7l/wX/Hv8y/0H/Tf9Z/2j/ff+Y/7v/5gAZAFIAkQDTARkBXgGiAeICHgJTAoMCrgLUAvgDHAM/A2EDggOiA70D1APlA/MD/QQGBA8EGAQjBC0EOAREBFAEYAR1BJAEswTcBQkFNQVcBXcFhQWDBXYFYAVHBTEFIQUaBRgFGwUcBRoFEgUEBPME5ATbBNsE5gT7BRgFOQVZBXcFjgWdBaUFpAWcBYwFdQVVBS4FAwTUBKYEfARZBD0EKQQbBBIECwQGBAED/AP5A/cD9wP3A/gD+AP2A/MD7gPpA+QD4gPjA+YD6wPwA/UD+QP7A/4EAQQGBA4EGQQlBDEEPQRFBEoETARMBEkERQRBBD0EOAQ0BC8EKgQkBB8EGQQUBA4ECAQBA/oD8wPtA+cD4gPfA90D3APaA9cD0wPOA8gDwQO8A7gDtwO4A7sDvwPCA8QDxQPDA78DuQOyA6sDowObA5MDiwODA3sDdANsA2UDXQNVA0wDRAM9AzUDLgMnAyEDGwMVAxEDDQMKAwgDBgMGAwYDBgMFAwUDAwMBAv4C+wL3AvMC7gLqAuYC4gLeAtoC1gLSAs4CywLJAsUCwgK+ArkCswKtAqgCogKfAp0CnAKeAqACpAKoAqwCsAK0ArkCvwLGAs0C1ALbAuEC5ALmAucC5wLnAugC6gLtAvEC9AL3AvcC9wL0AvEC7gLsAusC7QLxAvcC/wMHAxEDGwMlAzADPANIA1QDXwNpA3IDewOEA40DlgOhA60DugPIA9YD5APyA/8ECwQWBCAEKQQwBDYEPARBBEYETARUBF8EawR4BFEEWwRmBHIEfgSNBJ8EtgTQBOwFCQUjBTkFSQVSBVUFUwVQBU4FTwVUBV0FawV8BY4FoAWwBb4FyQXSBdcF2wXeBeIF5gXuBfgGBgYXBikGOwZLBlcGXwZhBl8GWgZWBlMGUwZXBl4GZgZtBnIGcQZsBmMGVwZJBj0GMgYqBiYGJAYlBigGLAYwBjUGOwZABkcGTQZSBlcGWwZeBl8GXwZfBl4GXAZZBlYGUQZLBkQGPAY0Bi0GKAYlBiUGKQYvBjkGRAZPBlsGZgZxBnwGhgaSBp4GrAa7BsoG2AbnBvQHAgcRByEHMgdFB1YHYgdoB2UHWQdGBzEHIAcbBycHRwd7B78ICghUCJIIvwjWCNoIzwi9CKwIoAifCKYItAjDCNEI2AjZCNUI0AjMCM4I1gjlCPcJCwkdCS0JOwlHCVMJYgl1CYwJqAnFCeMKAAobCjIKRgpXCmMKagptCmwKZwphClwKXgpoCn0KnQrICvwLMwtsC6IL1QwDDC0MUgxzDI8Mpgy3DMIMyAzMDNMM4Az5DR8NVQ2YDeUONw6IDtMPFg9PD30Pog/AD9YP4w/nD94Pxw+gD2gPIw7UDn8OKg3aDZENUg0eDPIMzgyuDJIMdgxbDEEMKAwRC/wL6QvXC8YLswueC4cLbQtRCzYLHQsGCvIK4ArOCrgKnQp8ClYKLQoECeAJxAmyCakJpQmiCZsJjAl0CVIJLAkHCOoI2QjYCOYJAQkiCUMJYAl1CYEJhgmHCYcJiQmOCZQJmQmYCY8JeQlXCSgI8AixCG8ILQfvB7cHhAdZBzMHFAb6BuQG0gbDBrcGrQamBqIGoAafBqAGnwacBpQGhgZzBl0GRgYyBiMGHQYeBiYGMQY6Bj4GOQYrBhQF9wXaBb4FqAWZBY8FhwV/BXIFXwVDBSAE+ATOBKUEgARhBEcEMgQfBA4D/APoA9EDtwObA30DXwNBAyYDDQL3AuQC0wLAAqwCkgJyAkwCHwHuAb0BjQFjAUABJAEOAPoA5gDMAKsAgQBOABb/3P+k/3T/TP8v/x3/E/8Q/xH/FP8a/yH/Kv81/0L/Tf9V/1X/S/8z/w3+2v6d/lv+GP3Y/Z79a/09/RP86vzA/JL8Yvwy/AP72fuz+5P7dvta+zz7Gfrw+sH6j/pd+i36Avne+cH5qvmW+Yb5dvlm+Vf5Sfk9+TT5Lvkq+Sf5JPke+RT5Bvjz+Nv4vfiY+G34OvgC98T3hfdG9wz22Pas9on2a/ZS9jn2HvX/9d71uvWZ9X31afVf9V71ZvVy9X/1iPWL9Yb1ePVi9Ub1JvUF9OX0yPSu9Jf0gvRv9F30SvQ49CX0EfP+8+vz1/PB86jzh/Nd8yny6fKg8lDyAfG48XvxUfE78TrxS/Fo8YzxsPHN8eHx6fHm8dvxyvG18Z/xifFy8VnxPvEh8QPw5fDK8LXwp/Ch8KHwpvCs8K/wrvCl8JfwhPBv8FvwSvA98DTwLvAo8CHwGPAM7/3v7u/g79Lvxu+6763vnO+H727vUe8y7xPu+O7f7srutu6i7ovucu5U7jTuE+3z7dftvu2p7Zbtg+1w7VztSO027SntIu0i7SrtOO1I7Vntae107XztgO2B7X/tfO127W3tX+1P7TvtJ+0W7QrtBu0L7RntK+1A7VLtXe1g7VntSe0x7Rbs+ezd7MTssOyh7Jfsk+yT7Jfsneyj7KbspOyc7I3seuxk7FHsROxA7EjsW+x17JLsrezA7Mnsxey37KHsh+xs7FXsQewx7CPsFewG6/Pr3+vK67frpuua65LrjeuJ64Xrfetx62HrTus66ybrFesG6vvq8urp6uHq1+rL6r7qsOqi6pbqi+qD6nzqdupw6mrqYupY6k3qQOoy6iPqFOoG6fnp7enk6dzp1unS6c7py+nH6cLpvOm16a3ppOmc6ZPpjOmF6YDpfel86X7phOmN6Zvpq+m+6dLp5On26gTqEOoa6iHqJuor6i/qMuo16jfqOeo66jzqP+pE6kvqVOpe6mjqcOp26nrqfOp96n/qgeqF6ozqk+qa6qHqpuqp6qvqrOqt6rDqtuq+6sjq0+rd6uXq7Orw6vLq9Or06vbq+Or76wDrBusN6xXrHesl6yzrMus36znrOus46zTrMesu6y3rMOs26z/rSutW62TrcOt864frkeub66Trreu1673rxOvK68/r0+vY697r5uvv6/nsA+wM7BTsGuwd7B7sHewc7BvsHOwg7CXsLew37EPsUOxf7G7sfuyO7J/ssOzC7NLs4+zz7QPtE+0j7TTtRe1X7Wnteu2L7Zvtqu247cXt0O3c7eft8u397gjuE+4e7ijuMu467kDuRe5J7kzuT+5R7lTuWe5e7mbub+557obuk+6i7rDuv+7N7tru5u7x7vvvBO8O7xjvI+8w7z7vTu9g73Hvg++U76Xvte/F79Xv5O/08AXwFvAq8D7wU/Bq8ILwmvCy8Mrw4fD38QvxHvEw8ULxUvFi8XHxgPGP8Z3xqvG38cLxzfHW8d/x5/Hv8fbx/fIE8gvyE/Ic8ibyMPI68kTyTvJW8l7yZfJs8nPye/KD8o3ymPKj8q/yu/LG8tHy3PLn8vLy/fMJ8xXzIfMu8zzzS/Na82rzevOK85nzqfO488fz1/Pn8/n0DfQh9DX0SfRd9G/0f/SO9J30q/S59Mb00/Td9OX06/Tw9PT0+fUA9Qv1GfUq9Tz1TvVf9W31d/V/9YX1ivWQ9Zf1n/Wn9bD1uPW/9cX1y/XT9d316fX39gf2F/Yn9jb2Q/ZP9lv2Z/Z09oH2jvac9qr2ufbJ9tv27/cH9yH3PfdZ93T3jfei97P3wvfQ99737vgB+BT4Kfg8+E34XPho+HP4fviL+J34tPjR+PL5Ffk6+Vz5fPmX+a75wfnS+eL58/oH+h36NvpS+m76ivqk+rv6zvrf+u/6/vsP+yP7OvtU+3D7jPun+7/71Pvm+/b8BfwU/CX8N/xL/GH8ePyQ/Kr8xPzf/Pv9GP01/VL9b/2K/ab9w/3h/gP+KP5R/nz+qP7R/vb/Fv8v/0P/VP9j/3b/j/+v/9gACwBFAIUAxwEJAUgBggG2AeQCDAIxAlUCeQKfAsgC9AMhA0wDcgOTA6sDuwPEA8gDygPMA9AD1wPhA+wD+AQDBA8EHAQtBEMEYASEBKwE1QT6BRYFJQUnBR0FCgTzBNwEywTABLsEuwS8BLsEtwSvBKYEnQSYBJsEpgS5BNIE7wULBSUFOQVGBUsFSAU8BSgFDAToBL4EkQRjBDYEDwPvA9cDxgO8A7UDsgOvA6wDqgOpA6kDrAOvA7QDuAO7A7wDuwO3A7QDsAOuA60DrwOwA7MDtQO4A7sDvwPFA80D2APkA/ED/AQGBA0EEQQSBBAEDQQJBAUEAAP8A/kD9QPxA+4D6gPlA+AD2gPUA8wDwwO7A7MDrAOnA6MDoAOdA5oDlgOSA40DiAOFA4IDggOEA4gDjQOSA5YDlwOXA5QDjwOIA4ADeANwA2gDYANaA1QDTgNJA0MDPQM2Ay8DJwMfAxcDDwMHAwAC+QLzAu4C6gLnAuUC4wLiAuIC4gLiAuEC4ALeAtoC1gLRAssCxAK9ArcCsQKrAqcCpQKkAqQCpAKkAqQCowKgAp0CmAKUApECjwKPApACkwKXApsCngKhAqQCpwKqAq8CtQK9AsUCzgLUAtoC3ALdAtwC2wLbAtwC3gLgAuQC5gLnAuYC4wLeAtkC1ALSAtEC1ALZAuEC6gL1AwADDAMYAyUDMQM8A0cDUQNZA2ADZwNuA3UDfgOJA5YDpAOzA8MD0wPjA/IEAAQMBBYEHgQkBCgEKQQqBCsELAQwBDUEPQRHBEUETwRaBGQEbwR7BIkEmwSvBMYE3QT0BQYFFQUeBSIFIgUhBSEFIwUqBTUFRAVWBWoFfgWSBaMFsgW9BcYFzAXQBdMF1gXaBeEF6wX3BgYGFgYkBjAGNwY4BjQGLQYjBhoGFAYTBhcGHwYqBjYGQAZGBkgGRAY8BjEGJQYaBhEGDAYLBg0GEQYYBh4GJAYpBi0GMAYyBjMGNAY1BjYGNwY3BjYGMwYuBigGIQYZBhEGCQYDBf8F/QX+BgEGBgYOBhcGIgYtBjgGRAZRBl4GawZ6BooGmwarBrwGzAbaBucG8wb/BwsHFwcjBy0HNAc1BzIHKQceBxUHFAcfBzoHZwejB+kIMQhyCKQIwgjMCMMIrwiXCIIIeAh8CIsIowi/CNcI6AjwCPAI6gjjCOAI5AjwCQQJHQk7CVgJdAmNCaMJtgnHCdgJ6An4CgcKFAogCikKLwoxCjAKKgoiChkKEAoMCg8KHQo3Cl4KkArLCwsLSguFC7kL5gwLDCsMSAxkDIAMmwy2DM4M5Qz4DQoNHg02DVYNfw2zDfEONg6ADsoPEg9UD48PwQ/pEAYQFxAaEA8P8g/FD4YPOg7jDocOKg3TDYUNRA0QDOgMywy1DKMMkQx+DGkMUgw5DCEMCgv0C+ALzAu4C6QLjgt5C2ULUwtECzgLLQsjCxULAQrnCsYKoAp5ClUKNwohChMKCwoFCfsJ6gnRCa4JhglfCT0JJgkdCSIJMwlLCWUJfQmOCZgJnAmbCZgJlgmTCZAJigl9CWgJSgkhCPEIugiCCEoIFQflB7oHkwdyB1UHPAcoBxoHEAcNBw4HEwcZBx8HIwcjBx0HEAb7Bt8GvgaaBnUGVQY7BioGIgYiBikGMQY4BjgGMQYhBgkF7wXTBbsFqQWcBZQFjQWDBXMFWAUzBQQEzgSXBGMENwQWBAID+QP7BAEECQQOBAwEAQPtA9EDsQORA3QDXgNRA0sDSwNLA0cDOgMgAvcCwgKFAkYCCgHYAbEBlwGEAXYBZAFKASMA8AC0AHMANP/+/9T/t/+m/5z/lf+L/3v/Zf9K/y7/FP8B/vf+8v7w/uv+3v7C/pf+XP4W/cv9gf09/QP80/yt/Iz8bfxM/Cn8Avvc+7b7lPt3+177R/sw+xX69frO+qH6cvpC+hX57PnI+af5ifls+U75MfkU+Pv46Pjb+Nf42vjk+PH5AfkR+R75KPkr+SX5Ffj4+Mv4jfhB9+n3i/cu9tn2kPZZ9jL2GfYI9fr16vXS9bT1kPVr9Ur1MPUi9R71IvUq9TL1NfUw9SL1DvT29N30xvS19Kn0ovSe9Jr0lPSK9Hz0afRT9Dv0IvQI8+3z0POw84zzYvMy8vvyvvJ98j3x//HJ8Z7xf/Fv8WzxdPGD8ZbxqfG58cPxyPHH8cHxuPGu8aLxlPGE8XDxV/E78Rvw+fDZ8LzwpfCT8IjwgfB98HjwcfBo8FzwT/BE8DvwNvA28DrwP/BE8EXwQ/A78DDwIfAP7/3v6e/S77nvne9+713vPO8d7wLu6+7Z7sjut+6i7obuYu427gbt1e2m7X3tXO1C7S/tH+0Q7QDs7uzb7Mnsuuyx7K/ss+y87Mjs1Ozf7Ofs7ezx7PTs9+z67Pzs/Oz67PXs7ezl7N3s2OzY7Nzs5ezx7P7tCe0R7RPtD+0F7PTs3+zG7Kzskex47GPsVOxK7EfsSexO7FPsVexT7ErsOuwl7A/r++vt6+nr7uv87BHsKew/7FHsXexh7F/sWOxO7EHsM+wj7BHr/Ovk68nrreuT63vraOtb61PrT+tN60vrRus+6zPrJusX6wnq++rw6uXq2+rR6sTqteql6pPqgOpw6mHqVupO6kjqRepB6j3qN+ov6iTqGOoL6f3p7+ni6dXpyum/6bTpqemf6ZXpjOmE6X7peul56Xnpeul76Xnpc+lo6VnpSOk16SPpFukP6Q/pFeki6TPpRelY6WnpeumK6Zrpqum86c/p4Onw6f3qBuoK6gvqC+oK6gvqD+oV6h3qJ+ov6jbqPOo/6kLqRepJ6k/qVupe6mXqa+pv6nHqcepw6nHqdOp56oHqjOqX6qPqruq36r7qw+rH6srqzOrP6tLq1erZ6t/q5ers6vTq+usA6wPrBesE6wHq/ur76vvq/OsB6wnrEusd6yfrMes660LrSutS61rrZOtt63frf+uH64zrkeuU65jrneuk663rtuvA68rr0+va69/r4+vn6+vr8Ov36/7sB+wQ7BnsIuwr7DXsQexO7Fzsbex+7JDsoeyy7MHsz+zd7Ozs/O0N7R/tMe1E7VbtZ+117YLtje2Y7aLtru267cbt0+3g7ezt9e397gPuB+4K7g7uEe4W7hzuI+4r7jTuPu5I7lPuX+5s7nruiO6Y7qfutu7G7tXu4+7y7wHvEO8f7y/vP+9P717vbe9874rvmO+n77fvx+/Z7+zwAPAV8CvwQvBZ8HHwiPCg8LfwzvDj8PbxCPEZ8SnxOPFG8VXxY/Fx8X/xjfGb8afxs/G98cbxz/HW8dzx4vHo8e7x9fH+8gfyEfIb8iXyL/I48kDyR/JP8lbyX/Jp8nTygPKN8pryp/Ky8r3yx/LQ8try5PLw8v3zDPMc8y3zPvNP82DzcPN/843zm/Oo87Xzw/PT8+Tz9vQK9B/0NPRI9Fz0b/SB9JH0oPSu9Lv0xfTN9NT02PTb9N704fTm9O70+fUG9Rb1JvU29UT1UfVc9WX1bPVx9Xb1evV+9YL1hvWL9ZL1nPWn9bX1xvXY9er1+/YL9hr2J/Yz9j72SvZV9mL2b/Z99oz2nfaw9sX23vb59xb3M/dP92j3fveP9533qPez98D3zvff9/P4CPgc+DD4QvhS+GH4cfiC+Jf4r/jL+Or5Cvkp+Uf5Yfl4+Yz5nvmv+cL51vnu+gr6KfpJ+mr6ifql+rz6zvrc+uj68/sA+xD7JPs9+1j7dfuS+637xPvY++n7+PwH/Bb8Jfw3/Er8Xvx0/Iv8o/y9/Nj89f0T/TL9UP1u/Yz9qf3H/eb+B/4q/lD+eP6g/sn+7/8T/zX/V/94/53/xf/0ACgAYQCdANgBEQFEAXABlAGwAcgB3wH4AhcCPQJrAqAC2AMQA0MDbQOKA5sDoAOdA5YDjgOKA4sDkwOfA60DuwPIA9ID3APmA/MEBgQgBD4EXwSABJoErQS1BLMEqQSbBIwEgAR3BHMEcgRyBHIEbwRrBGcEYwRiBGYEcASABJQEqwTBBNUE5QTvBPEE7ATfBMkEqwSGBFsELQP/A9UDsAOTA38DcgNsA2kDZwNmA2QDYgNgA2ADYgNmA2wDcgN4A30DfwOAA38DfQN7A3oDewN8A34DfwOCA4QDiAONA5QDnQOnA7MDvgPJA9ED1wPZA9kD1wPUA88DygPFA8EDvAO3A7MDrwOqA6YDogOdA5gDkwOPA4oDhQOBA30DeQN1A3EDbQNoA2QDYANdA1sDWwNbA10DYANiA2QDZANiA18DWgNTA0sDQwM7AzMDLQMoAyMDIAMdAxsDFwMUAw8DCQMCAvsC8wLrAuQC3ALWAtACzALHAsQCwQK/ArwCugK4ArYCswKxAq0CqQKkAp8CmQKTAowChgKBAn4CfAJ7AnwCfgKBAoMChAKEAoQCgwKDAoQChgKKAo8ClAKaAp8CogKlAqcCqQKrAq4CswK5Ar8CxQLJAswCzQLMAssCygLJAsoCzALOAtAC0gLRAs8CywLHAsMCwALAAsICxwLOAtgC4gLuAvoDBgMTAx8DKgM1Az4DRgNNA1MDWANfA2YDbwN6A4cDlQOlA7UDxgPXA+cD9gQEBBEEGwQiBCYEKAQoBCcEJwQpBC0EMwQ7BFIEXARmBHAEeASABIkEkwSfBK0EvATMBNsE5wTxBPgE/AUABQQFCQUSBR4FLQU/BVMFaAV9BZEFowWyBb0FxQXJBcsFywXLBc0F0wXcBekF+QYKBhkGJAYpBiYGHQYPBf8F8QXmBeIF5gXvBf4GDQYcBiYGKwYpBiIGFwYLBgAF+AX0BfQF9wX9BgMGCQYNBhAGEgYTBhMGFAYVBhcGGAYYBhYGEgYNBgYF/gX2Be8F6gXmBeQF5AXlBecF7AXyBfoGBAYPBh0GKwY7BksGWgZqBnkGhwaVBqMGsQa+BswG2QbmBvMG/wcKBxIHGAcaBxkHFwcXBxwHKgdGB28HpgfnCCwIbQijCMgI1wjSCL0InwiACGoIYghsCIUIqQjTCPkJFwkpCS8JKgkhCRgJFQkbCS0JSAlsCZIJuQncCfgKDAoZCh8KIAodChgKEgoLCgQJ/AnzCegJ3QnRCccJwQnECdEJ6woUCkkKigrQCxgLWwuVC8QL5gv+DA4MGwwqDD0MVgx3DJ0MxwzyDR0NRw1uDZUNvA3mDhQORw6ADrwO/A89D3wPtg/oEA4QJxAuECMQBA/RD44PPA7gDoEOJQ3PDYYNSg0eDP8M6wzeDNQMyAy6DKcMkAx3DF0MRAwtDBcMAwvwC9sLxguvC5kLhQtzC2ULWgtRC0gLOwsqCxQK+QrcCsAKpwqTCoUKewpxCmQKUQo3ChUJ7gnGCaMJiAl3CXIJdgmACYoJkgmTCY4JgglzCWEJTwk8CSkJFAj8CN4IuwiUCGoIQQgZB/YH2Ae+B6gHkwd/B2sHWAdJBz0HOAc5B0EHTQdbB2gHcAdwB2YHUgc1Bw8G5ga7BpMGcAZVBkIGNwYyBjEGMAYsBiMGFQYDBe4F2QXGBbgFrwWqBacFogWXBYIFYQUzBPsEvAR9BEMEFAP0A+YD6gP7BBYEMgRKBFgEWQRLBDEEEAPuA9EDwAO8A8UD1gPqA/YD9QPhA7cDegMwAuEClgJXAigCCQH1AecB1gG8AZUBYQEjAOMApwB3AFYAQwA8ADgAMgAiAAX/2v+n/2//O/8P/u7+1/7F/rP+mv50/j/9/P2w/WD9FPzR/Jv8cfxR/Df8IPwH++z7zvuu+5D7dftc+0b7MPsY+vz62vqz+on6X/o2+hH58PnR+bL5kflt+Ub5HPjz+M/4s/ii+J34o/i0+Mz46fkI+Sf5QvlX+WP5YPlK+R/43fiF+Bz3q/c69tP2ffY+9hT1/vXy9ev14fXO9bL1kPVq9Uj1LPUb9RP1EfUR9Q31AvTv9NX0tvSa9IP0d/R29H70jfSe9Kz0tPS09Kz0m/SG9G30UfQz9BHz6/PA847zWPMd8uLyqfJz8kXyH/IB8ezx3fHT8c3xyfHG8cPxwPG98bnxtfGx8a3xqPGj8Z3xlfGJ8XrxZvFN8S/xDvDs8MnwqfCN8HTwX/BO8D/wMvAm8BvwEvAM8ArwDPAR8BrwJfAv8DjwPvA/8D3wNfAp8BfwAO/k78Pvnu9371DvLO8M7vTu4+7W7svuvu6p7oruYO4r7fDttO177UvtJu0M7P3s8+zs7OLs1ezD7K3sluyB7HDsZexg7GHsZuxu7HXsfeyD7Insj+yU7Jnsneyf7J/sm+yV7IzshOx87Hjsd+x77ITskOye7KzsuezC7MTswOy17KLsiexr7E3sMOwY7Abr/Ov46/rr/ev/6/3r9uvo69frw+uv65/rleuS65broOuw68Lr1evn6/fsBOwM7BDsDOwD6/Pr3uvD66fri+tx61vrS+s/6zjrNOsv6ynrIesX6wrq/Orv6uTq2erQ6sjqvuqy6qPqkep86mfqUuo/6i/qI+oa6hTqD+oJ6gPp++ny6efp2+nP6cXpu+mz6avppOmb6ZDpg+l06WXpV+lM6UbpRulM6VfpZOlw6Xjpeely6WDpR+kp6Qno7OjU6MTou+i56LzowujK6NPo3ejq6PvpEeks6UzpbemN6anpvunM6dPp0+nR6c7pzOnO6dPp2+nk6ezp8+n56f3qAOoD6gjqD+oW6h/qJ+ot6jLqNeo36jjqOuo96kPqSupT6l3qaOpz6n3qh+qP6pfqneqj6qfqququ6rHqteq56r7qxOrI6szqzurO6szqyerH6sXqxurJ6s7q1Orb6uLq6eru6vTq+esA6wjrEusd6ynrNes/60brS+tO61DrUutV61rrYetp63Lre+uF64/rmOui66zrt+vC683r2Ovi6+rr8ev46//sB+wS7B/sLuw/7FDsYexw7H7siuyV7KHsruy97M/s4uz17QjtGu0p7TbtQu1N7VjtZe1y7YHtke2g7a7tuu3D7crtzu3S7dbt2u3f7ebt7u337gDuCu4U7h/uKu437kXuVO5k7nbuiO6a7qzuvu7Q7uLu9O8F7xbvJu8270TvUe9e72vvee+I75nvrO/B79fv7fAE8BvwMvBI8F7wdPCK8J/ws/DH8Nrw7PD98QzxG/Ep8TfxRfFT8WHxb/F88YnxlfGg8arxs/G78cLxyfHP8dXx2/Hj8erx8/H78gTyDfIV8h7yJ/Iw8jryRvJT8mDyb/J+8ozymPKk8q/yuPLC8s3y2PLl8vTzBPMV8ybzN/NH81fzZvN184PzkfOe86zzuvPI89fz5vP39An0HPQw9EP0V/Rq9Hv0i/SZ9KT0rfS19Lv0wPTE9Mj0zPTR9Nb03vTm9PD0/PUI9Rb1I/Uv9Tr1Q/VK9U/1UvVU9Vb1WvVg9Wr1d/WI9Zr1rvXC9dX15/X29gT2EfYe9iv2OPZG9lX2ZPZz9oP2lfao9r/22fb09xL3L/dK92L3dveG95L3nPem97L3v/fP9+L39vgK+B74MfhE+Ff4avh/+Jb4r/jK+Ob5Afkc+TX5TPlh+XT5hvma+a75xfne+fr6GPo3+lf6dfqQ+qj6vPrN+tr65/r0+wP7Ffsq+0L7XPt2+4/7pvu6+8z73Pvs+/v8C/wc/C78QPxT/Gb8evyQ/Kj8wvzg/QD9I/1G/Wn9jP2s/cv96f4H/ib+SP5s/pP+vv7s/xz/T/+F/7z/9QAvAGoApADbAQwBNgFYAXEBgwGRAZ0BrQHEAeUCEQJIAoUCxAL/AzIDWANvA3cDcwNoA1oDTwNKA00DVgNkA3QDgwOOA5YDmwOfA6UDrwO/A9QD7AQFBBwELgQ6BEAEQAQ9BDkENgQ1BDQENQQ0BDIELwQqBCYEJAQlBCwENwRHBFoEbgSABJAEmwSgBJ8ElwSHBG8EUAQqA/8D0gOmA30DWgNAAy4DJAMhAyIDJAMmAycDJwMnAycDKAMrAzADNgM8A0EDRQNIA0kDSQNJA0oDSwNMA04DTwNQA1EDUgNVA1oDYANpA3MDfgOIA5EDlwOaA5sDmQOWA5EDjQOIA4MDfwN7A3cDcwNvA2wDaQNnA2YDZANjA2EDXwNcA1kDVQNRA00DSANEA0ADPQM6AzgDNgM0AzIDMAMuAy0DKgMnAyQDIAMbAxUDDgMHAwAC+QLzAu8C6wLoAuUC4wLhAt4C2gLUAs8CyALBAroCtAKuAqkCpAKgAp0CmgKWApMCjwKLAocChAKBAn4CewJ5AnYCdAJxAm0CagJmAmQCYgJhAmICYwJmAmgCbAJuAnICdQJ4AnwCgQKHAo0CkwKZAp4CogKlAqcCqAKqAqwCrgKxArQCtgK3ArgCtwK3ArYCtQK2ArcCuAK6ArsCugK5ArYCswKwAq4CrgKwArQCuwLDAs0C1wLjAu4C+gMGAxIDHgMoAzIDOgNBA0gDTwNWA18DaQN0A4EDjwOeA60DvQPNA90D7QP9BAwEGQQkBCwEMAQyBDIEMwQ1BDkEPwRHBFUEYARpBHEEdwR8BIEEhgSNBJUEoASsBLkExQTQBNoE4gTpBPEE+QUCBQ4FHQUuBUEFVgVsBYEFlAWmBbMFvAXBBcIFwAW+Bb4FwQXKBdkF7AYCBhcGKAYxBjEGKAYWBf8F5wXSBcMFvQXBBcwF3QXwBgEGDQYUBhMGDgYEBfoF8AXpBeQF4wXjBeUF5wXqBesF7QXwBfMF9wX8BgAGAwYFBgMGAAX6BfMF7AXmBeEF3gXcBdwF3AXdBd4F4QXmBe4F+QYHBhcGKQY7BkwGWwZoBnIGewaDBowGlgaiBrAGvwbPBt4G7Ab4BwEHBwcLBxAHFgchBzQHUgd7B68H7AgvCHAIqgjWCO8I9AjlCMkIpwiGCHAIagh3CJYIwgj1CScJUQluCX0Jfwl3CW0JZQllCXAJhQmjCccJ6woLCiMKMgo3CjIKJgoWCgMJ8QnhCdQJyQm/CbgJsQmrCacJqAmwCcEJ3QoGCjsKeQq+CwMLRAt8C6cLxgvYC+IL5wvtC/sMEgw2DGcMoQziDSUNZQ2gDdMN/Q4iDkMOZQ6KDrQO5g8dD1gPkw/JD/MQDxAXEAoP6A+xD2sPGA7ADmkOFg3ODZMNZQ1EDS4NHw0UDQoM/AzsDNcMwAyoDJEMewxoDFcMRgwzDB4MBQvqC80LsQuXC4MLcwtnC14LVQtJCzoLJwsSCvwK6ArXCsgKvAqwCqEKjQpyClEKLAoGCeQJxwm0CagJowmhCZ4JlgmICXEJVQkzCQ8I7AjKCKkIighrCEsIKwgLB+wH0Qe6B6gHmgeOB4MHdwdnB1UHQgcwByIHGwccByYHNgdKB1wHaQdtB2cHVAc4BxQG7AbEBp8GgAZmBlMGRQY6Bi8GJAYVBgUF8wXgBc4FwAW1BbAFrgWuBa0FqAWbBYQFYQUyBPkEuwR8BEMEFQP3A+wD8wQJBCkETARrBH8EhAR5BGEEQQQgBAYD+QP9BBEELwRQBGoEdARnBEAEAgO0A14DDALFAo4CaAJQAj4CKwIQAegBtQF6AT0BBwDdAMIAtQCxAK8ApwCSAG4AO//9/7r/e/9D/xb+8v7T/rT+jf5b/hz90/2E/TT87Pyu/H78Wvw//Cr8FvwB++n7z/u0+5r7hPtv+1v7Rvst+w/67frH+p/6evpY+jv6IPoH+ez5y/ml+Xj5SfkZ+O/4zvi4+K/4s/jB+Nf48vkQ+S35Svlh+XD5cvli+Tz4//it+En33Pdu9wr2t/Z59lH2O/Yu9iX2GPYE9eb1w/We9X31ZPVV9U71S/VG9Tr1JfUG9OH0uvSZ9IH0ePR99I70pvS+9NL03vTg9Nn0yvS39KH0iPRs9Ev0IvPy87nzevM48vnywPKS8m/yV/JK8kLyPfI38i7yIvIT8gHx8PHh8dPxyPHA8brxtPGu8ajxoPGX8YvxfPFp8VHxNfEV8PPwzvCq8IjwafBP8DnwKPAb8BLwDPAI8AbwBvAJ8A7wFfAd8CXwLfAy8DPwMPAn8BfwAO/i777vlu9s70PvHe7+7ubu1e7I7rzure6X7nbuSe4T7dftmO1f7S7tCezx7OTs3+zd7Nnsz+y+7KXsiOxo7ErsMuwg7BbsFOwX7B7sJ+wv7DbsPOxA7ELsQ+xC7EDsPew47DLsK+wl7CDsHuwg7CfsM+xE7FjsbuyD7JTsnuyf7JXsguxm7EPsHuv769zrxOu066zrq+ut66/rr+uq66Drket962jrVOtD6zjrM+s260DrUetm633rlOun67Xru+u566/rn+uK63PrXutM6z7rNOsu6ynrJOsc6xHrAury6uDqz+rA6rTqq+qk6p3qlOqI6njqZepP6jnqJOoR6gLp9unt6ebp4OnY6c/pxem46avpn+mU6YzphemA6XzpeOlx6WfpW+lM6TzpLukk6SHpJekx6UPpWelt6X3phemB6XLpWOk36RLo7ujN6LHonOiM6IDoduhu6GfoYuhi6GnoeOiR6LLo2OkB6SjpSulk6XbpgemG6YjpiemM6ZHpmOmg6anpsOm16bnpvOm/6cLpx+nO6dbp3+no6fHp+On+6gLqBeoI6gzqD+oU6hrqIeoq6jXqQepN6lrqZepw6nnqf+qE6ojqi+qN6pDqlOqX6pnqmuqa6pjqlOqR6o3qi+qM6o7qkuqX6pzqouqm6qvqsOq16r3qxurR6tzq6Ory6vrrAOsD6wXrBusI6wrrDusU6xvrJOst6zfrQutO61rraOt264Trkeud66jrseu668LrzOvX6+Xr9OwE7BXsJOwy7D7sSOxR7FrsZexy7IHskuyk7LfsyOzY7Obs8+0A7Q3tG+0r7TvtTe1e7W7te+2G7Y/tle2b7aDtpe2r7bLtuu3C7cvt1e3g7evt+O4G7hbuJ+457kzuX+5y7oXul+6q7rzuzu7g7vHvAu8S7yHvMO8+703vXe9v74PvmO+v78bv3u/18AzwIfA18EnwXPBv8IHwlPCn8Lnwy/Dc8O3w/fEM8RvxKvE58UfxVfFi8W/xe/GG8ZHxm/Gk8azxtPG88cPxy/HS8drx4fHp8fDx+PH/8gfyEPIa8iXyMvJB8lDyYPJv8n7yi/KX8qPyr/K78sfy1fLk8vPzA/MS8yHzL/M980zzWvNq83rzi/Ob86vzuvPG89Lz3fPo8/T0AvQS9CP0NvRI9Fr0afR29ID0ifSQ9Jb0nPSj9Kr0sfS39L30w/TI9M701fTe9Oj09PUA9Q31GPUh9Sj1LfUx9Tb1PPVG9VP1ZPV39Yz1oPW09cX11PXi9fD1//YO9h/2MvZE9lb2Z/Z29oX2k/aj9rb2zPbk9v/3Gvc19033Yvdz94L3j/ec96n3uPfJ99z37vgC+BT4J/g5+Ez4YPh1+I34pvjA+Nv49fkP+Sj5QPlX+W35g/mZ+a75w/nZ+e/6Bfod+jb6UPpp+oL6mvqv+sP61frl+vb7B/sZ+yz7QftW+2z7gPuT+6T7tfvF+9X75vv4/Ar8HPwu/D/8Ufxj/Hf8j/yr/Mv87/0V/T39ZP2I/an9x/3j/f7+G/49/mP+kf7E/v3/O/97/7v/+wA4AHEApQDTAPoBGgEyAUUBVAFiAXEBhgGkAcsB+wIzAm8CqgLeAwkDJgM2AzoDNAMqAyADGgMaAyADLAM6A0kDVQNeA2MDZQNoA2wDdAOAA5ADoQOzA8IDzgPVA9oD3QPeA+ED5QPpA+0D8APvA+sD5QPeA9gD1gPZA+QD9AQIBB8ENQRIBFYEXgReBFcESQQ0BBgD9wPRA6gDfQNTAy0DDgL1AuUC3QLbAt4C4wLpAu4C8wL3AvoC/gMCAwcDDAMSAxYDGQMbAx0DHgMfAyADIQMiAyMDJAMjAyMDIgMiAyUDKQMvAzYDPgNGA0wDUANRA1ADTgNLA0cDRANDA0IDQgNCA0EDQQNAAz8DPQM7AzoDOQM4AzYDNAMxAy4DKgMmAyIDHwMcAxoDGQMXAxUDEgMPAwsDBgMBAvwC+AL0AvEC7QLqAuUC4ALaAtICywLDArsCtAKuAqkCpQKhAp4CmgKWApECjQKHAoICfQJ4AnUCcgJwAm4CbQJrAmkCZgJjAl8CXAJZAlcCVQJVAlUCVQJVAlUCVQJTAlICUAJPAk8CUAJSAlQCWAJdAmECZwJsAnECdwJ8AoIChwKLAo8CkwKWApkCmwKdAp4CoAKhAqICogKiAqICogKiAqICogKkAqUCpgKmAqYCpAKiAp8CnQKbApoCnAKeAqMCqQKwArkCwgLNAtgC5QLyAv8DDAMYAyMDLAM0AzwDRANNA1cDYwNwA34DjAObA6oDuAPIA9cD5gP2BAYEFAQgBCkELwQyBDQENgQ4BDwEQwRLBEUETwRYBGAEZgRqBG0EcgR3BH8EiASTBKAErAS3BMIEywTTBNsE4gTrBPYFAwUSBSMFNwVLBWAFdAWGBZQFnwWkBaYFpQWkBaQFqAWyBcMF2QX0Bg4GJAYzBjgGMQYfBgYF6AXMBbUFpgWjBakFtwXKBd4F8AX8BgIGAgX8BfIF5wXbBdAFxwXABbsFuAW3BbgFvAXDBc0F1wXiBewF9AX4BfgF9AXvBegF4gXdBdsF2wXdBeAF4wXmBekF7QXzBfwGCAYYBikGOwZMBlsGZQZsBnEGcwZ3BnwGhAaQBp8Grwa/Bs0G2QbhBucG7QbyBvsHCgcgB0AHageeB9oIGwhcCJkIzQjzCQgJCwj/COgIzAiyCKEInQiqCMgI8gkkCVYJgwmmCbsJxAnDCbwJtAmvCbIJuwnMCeEJ9woLChgKHQoZCg0J+wnmCdEJvgmwCagJpQmnCasJsgm4Cb8JxQnOCdoJ7AoFCigKUwqGCr0K9AsoC1ULeAuSC6QLsAu9C9AL7AwVDEwMkAzdDSwNeQ29DfUOIA4/DlUOaA58DpUOuA7jDxUPSg96D6APtg+5D6UPfQ9EDv8Osw5nDiEN5A2zDY4Ncw1gDVMNRg05DSgNEwz7DOEMxwyuDJgMhQx1DGUMVQxCDCwMEgv2C9oLwAupC5gLjAuDC3wLcwtnC1YLQAsoCw4K9griCtMKxgq7Cq4KnQqGCmgKRgohCf4J4AnJCbkJrQmkCZkJiAlvCU4JJgj5CMkImghvCEcIJAgEB+gHzQe1B58Hiwd7B20HYgdWB0kHOgcmBxAG+AbjBtIGygbLBtcG6gcCBxsHLgc5BzkHLgcYBvoG1wa0BpQGdwZeBkoGOQYpBhkGCAX1BeIF0AW+BbAFpAWcBZYFkgWOBYgFfgVuBVcFNwUQBOMEsAR9BE0EJAQHA/gD+AQGBB0EOARRBGIEZgRcBEYEJwQIA+8D4wPmA/oEGgQ9BFwEbARoBEsEGQPWA4sDQQMAAswCpwKNAngCYQJCAhgB5AGqAW8BOwERAPUA5ADZAM8AvQCgAHQAPP/7/7j/ef9C/xX+7/7N/qj+fP5F/gT9uv1t/SL84Pyp/H78XfxD/C38Fvv9++H7xPun+437d/tj+1D7PPsl+wj66PrE+qD6ffpf+kX6LvoW+fz53fm4+Y35YPk1+Q/48/ji+Nz43/jp+Pj5CPkY+Sb5Mvk6+Tz5Nvki+P/4y/iG+DP32veB9y/26/a59pb2gPZw9mH2TvYz9hP17/XN9bH1n/WW9ZP1k/WP9YL1avVH9R708/TP9LX0qvSs9Lj0yvTb9Of06vTk9Nf0xfSy9J/0jPR39F30OvQO89fzmfNX8xfy3vKw8o/yefJs8mXyXvJW8knyOPIj8g3x+PHl8dbxyvHA8bjxsfGq8aTxnvGZ8ZTxjvGE8XbxYfFF8SLw+fDM8KDwd/BU8DjwJfAY8BDwDfAL8AvwC/AL8A3wEPAU8BjwHPAe8BzwFvAJ7/bv3e++75rvc+9M7yXvAe7h7sXure6Z7oTubu5T7jLuCe3a7aftc+1C7Rfs9uze7NDsyezE7L3ssuyg7IbsZuxC7B/sAOvo69nr0uvS69jr3+vm6+rr6uvm6+Dr2evS683ryuvL687r0+va6+Dr5+vv6/jsA+wR7CPsN+xM7F/sbux37Hbsa+xV7DfsE+vt68jrqOuO633rcutt62zra+to62LrVutG6zLrG+sF6vLq4+rc6tzq5Ory6wXrGust6zvrROtF6z/rNOsm6xjrC+sC6v3q++r66vnq9ert6uHq0eq/6qzqnOqO6oPqe+p06m3qZOpY6kjqNeog6gzp+enq6d3p1OnO6cjpwem56a/ppOmW6Yjpe+lw6WfpYOlb6VbpUOlJ6T/pNOkn6RrpD+kJ6QnpEOke6TLpR+lb6WnpcOlr6VzpQ+kj6QDo3Oi66J3ohehx6F/oTeg86CroGugN6AboCOgT6CjoRuhp6I/otejX6PXpDekg6S/pPOlI6VTpX+lq6XTpfOmD6Yfpi+mO6ZHplemZ6Z/ppumt6bTpu+nC6cjpzOnQ6dTp1+na6d3p4eno6fDp++oI6hbqJeoz6kDqS+pU6lrqX+pj6mfqaupt6m7qb+pt6mnqY+pd6lbqUepN6k3qT+pT6ljqXupk6mnqbupz6nnqgOqI6pDqmeqi6qnqr+q06rjqu+q+6sLqx+rM6tPq2urh6unq8er66wTrEOsd6yvrOutJ61frZetx637riuuX66brtevE69Pr4uvu6/rsA+wM7BXsH+wq7DfsR+xX7GjseeyK7Jnsqey47Mfs1+zn7PjtCu0a7SrtOO1E7U7tV+1g7WjtcO147YHtiu2T7Zztpu2x7b7tzO3c7e7uAe4U7ijuO+5O7mDuce6C7pPupO617sbu2O7p7vrvDO8d7y/vQ+9X72zvg++a77HvyO/f7/TwCfAc8C/wQfBT8GXwdvCH8JjwqfC58Mrw2vDr8PvxDPEd8S3xPfFM8VrxZ/Fy8X3xh/GQ8ZnxovGs8bbxwPHK8dTx3vHn8e/x9vH98gTyC/IU8h7yKfI38kXyVPJi8nDyfvKL8pjypfKy8sHy0PLf8u/y/fML8xfzI/Mw8z3zTfNe83HzhfOZ86rzuPPC88rzz/PU89rz4vPu8/30DvQg9DL0QfRO9Fj0YPRm9Gz0c/R79IT0jfSW9J/0pfSr9LH0t/S/9Mj01PTg9O70+vUG9Q/1F/Ue9Sb1MPU89Uz1XvVx9YT1lvWm9bT1wfXO9dz17fYA9hX2LPZC9lb2Z/Z19oD2ivaV9qP2tPbI9uD2+vcU9yz3QvdW92f3d/eG95b3pve498r33Pfu9//4EPgi+DX4Sfhf+Hj4kviu+Mr45vkC+R35N/lR+Wv5g/ma+a/5wvnU+eT59PoF+hj6LPpD+lv6c/qL+qH6tfrI+tj66fr6+wz7H/s0+0n7Xftx+4P7lful+7X7xvvY++v7/fwQ/CL8NPxF/Ff8a/yC/J38vPze/QP9KP1M/W79jf2r/cr96v4P/jv+bf6l/uP/I/9k/6T/3wAWAEcAcgCYALkA1QDvAQYBHQE0AU4BbAGPAbkB6QIbAk4CfwKpAsoC4QLuAvMC8wLxAvAC8wL5AwQDEQMfAywDNgM+A0QDSgNSA1wDaQN4A4cDlAOcA6ADnwOaA5QDjgOLA4wDkQOXA54DogOjA58DmAOPA4kDhwONA5oDrwPIA+MD/AQRBB4EIgQdBBAD+wPhA8EDngN5A1MDLQMKAukCzgK5AqoCogKfAqECpgKsArMCugLBAskC0QLYAuAC5wLtAvIC9QL3AvkC+gL7AvwC/QL+Av4C/gL8AvkC9wL1AvMC9AL1AvkC/AL/AwEDAQMAAv0C+gL3AvYC9wL5Av0DAgMHAwwDDwMRAxEDEAMPAw0DCwMJAwYDBAMBAv0C+gL3AvUC8wLzAvMC8wL0AvMC8gLuAuoC5ALdAtYCzwLJAsQCvwK7ArYCsAKpAqAClwKNAoQCegJyAmoCZAJfAlsCWAJVAlICTgJKAkcCQwJAAj0CPAI7AjsCOwI8Aj0CPQI8AjsCOQI3AjUCNAIzAjMCNAI1AjYCNgI3AjcCNgI2AjYCNwI4AjwCQAJFAksCUQJXAlwCYgJmAmsCbwJzAncCegJ+AoEChAKHAokCiwKMAo0CjQKNAo0CjgKOAo8CkAKQApECkQKQAo8CjQKLAooCiQKJAooCjQKQApUCmwKhAqkCswK+AsoC2ALnAvUDAgMOAxkDIQMoAy8DNgM/A0kDVgNlA3YDhwOYA6kDuQPJA9cD5APwA/sEBQQNBBIEFgQZBBsEHgQiBCgEMAQ6BCoENgRABEgETgRSBFYEWwRiBGoEdAR/BIsElwSiBKsEtAS7BMMEygTSBNsE5QTyBQAFDwUgBTIFQwVUBWMFbwV3BXsFfQV+BX8FhAWOBZ8FtQXRBe0GBwYbBiUGIwYXBgEF5QXJBa8FnQWUBZYFnwWvBcEF0gXfBeYF5wXhBdYFyQW5BaoFnAWRBYgFgwWDBYcFkAWdBa0FvgXPBd4F6QXvBfAF7AXnBeEF3AXaBdsF3wXmBe0F9QX8BgMGCQYRBhkGJAYxBj4GSwZWBl0GYQZiBmIGYgZkBmoGcwaBBpEGoAauBroGwQbFBskGzQbWBuYG/gchB00HgQe8B/sIOgh3CK4I3QkBCRkJJgkoCSMJGQkOCQgJCAkSCSYJQgljCYYJpwnCCdUJ3wnhCd0J1gnQCcwJzAnQCdcJ3wnmCeoJ6AnhCdUJxQmzCaMJlwmQCY8JlgmjCbMJxgnXCeYJ8gn6Cf8KBAoLChcKKwpGCmoKkwq+CuoLEgs1C1ILbAuGC6MLyQv5DDYMfgzNDR8NbA2wDeYODQ4kDjEOOA5BDk4OZQ6GDq4O1w79DxgPIg8aDv0O0A6VDlQOFA3aDasNiQ1zDWcNYw1hDV4NVg1IDTMNGAz5DNcMtQyVDHcMXAxCDCoMEQv4C98LyAu0C6ULnAubC58LpgutC68LqgubC4ILYQs7CxYK9QrbCskKvwq6CrUKrAqcCoQKZApAChkJ9QnVCbwJpwmVCYIJawlNCSYI+QjGCJEIXgguCAUH4QfDB6kHkgd8B2cHUwdABy0HGgcIBvUG4AbKBrIGnAaJBnwGdwZ9BowGowa/Bt0G9gcIBxAHDAb+BucGywasBo0GcAZVBj0GJwYSBf4F6gXXBcUFtAWkBZYFiQV8BXAFYgVUBUQFNAUjBRAE+wTkBMkEqwSKBGgERwQqBBQEBwQEBAoEFQQhBCkEKQQeBAgD6wPKA60DmQORA5cDqQPBA9kD6QPsA94DvwOVA2MDMgMGAuMCyAKzAp8ChgJlAjkCBAHKAY8BWQEsAQgA7ADTALcAlQBnAC//7v+p/2b/Kv73/s/+rv6Q/m/+R/4U/dj9lP1P/Qz80Pye/HX8VPw4/Bv7/fvb+7X7j/tq+0n7LPsT+vz65vrN+rD6kPpt+kr6KfoK+e/51fm8+aH5gvlf+Tv5F/j3+N/40fjN+NP43/jt+Pr5BPkI+Qb4//jy+OD4yPio+H/4S/gP98v3hfdB9wT20var9pD2ffZt9lv2RfYp9gn16fXN9bf1q/Wo9an1q/Wn9Zv1g/Vh9Tr1EfTv9NX0x/TE9Mj0zvTR9M/0xPSy9Jz0hPRv9F30TvRA9C70FPPy88Xzj/NU8xny4vKz8ozyb/JZ8kfyNfIi8gzx9fHd8cbxsvGi8ZXxi/GD8Xzxd/F08XTxdvF98YXxjfGR8Y7xgPFl8T3xCvDR8JXwXfAr8ATv6e/X78/vze/P79Pv2e/f7+bv7e/07/nv++/67/Lv5e/R77fvmu9671nvN+8X7vbu1u627pbudu5X7jjuG+3+7eDtw+2k7YTtY+1B7SHtA+zp7NLsv+yv7J7sjOx27F3sQOwh7ALr5+vR68PrvOu7677rwevB67zrseug64zreOtn613rW+ti63Hrhuud67TryOvY6+Pr7Ovz6/zsBuwU7CPsMew97EPsQuw27CLsBuvk67/rnOt762DrSus76y/rJ+sf6xbrCur76ujq1Oq+6qnql+qK6oPqgeqG6o/qmuql6q/qtOq16rHqquqh6pjqkuqO6o7qj+qS6pTqlOqQ6orqgep26mzqY+pb6lXqUOpK6kPqOOor6hrqCOn16ePp1OnI6b/puem06a/pqemh6ZfpjOl/6XPpZ+ld6VTpTelG6T/pN+ku6SPpF+kL6QHo+ej16Pbo/OkH6RTpIuku6TTpNOkq6RnpAOji6MLoouiE6GvoV+hG6DjoKugc6A3n/eft59/n1efS59bn4uf06A3oK+hK6Gvoi+ip6MXo3+j36QzpHukv6TzpSOlS6VrpYulo6W7pcul26Xnpe+l86X3pf+mB6YTpiemN6ZLpl+mc6aDppemq6bHpuenE6dHp3+nu6fzqCeoV6h/qJ+ov6jXqOuo+6kHqQeo+6jnqMeon6h3qFOoN6grqCeoM6hDqFuoc6iLqKOos6jHqNuo86kPqSupR6lnqYOpm6m3qc+p56oDqh+qO6pXqm+qh6qfqrOqy6rnqwerM6tnq5+r36wfrF+sn6zbrRetT62Hrbut864rrl+uj66/ruevD687r2Ovk6/HsAOwQ7CDsMexD7FXsZux37Insmuyr7Lvsy+za7Ofs9O0A7QvtFu0h7S3tOe1F7VHtXe1o7XPtf+2K7Zftpu227cft2u3t7gDuFO4m7jfuSO5Y7mjueO6J7pvure6/7tLu5u757w7vIu83703vY+9575Dvp++979Pv6e/+8BPwJ/A78E3wXvBu8H7wjPCa8Knwt/DH8Njw6vD88Q/xIfEy8ULxUPFd8WfxcPF58YHxifGT8Z7xqvG28cTx0fHd8efx8PH48f/yBvIO8hfyIvIu8jzySvJY8mbyc/KA8ozymfKm8rTywvLR8uDy7vL88wjzFfMi8zDzQPNS82bzevOM85zzqPOw87TztfO287jzvfPG89Tz5PP29Aj0GfQm9DD0N/Q99EL0SfRR9Fv0ZvRx9Hv0hfSP9Jf0oPSq9Lb0w/TR9N/07fT59QP1DfUW9SD1K/U49Uj1WfVq9Xr1ifWW9aL1rvW79cr13fXy9gn2IfY39kr2WfZl9m72d/aB9o72nvaz9sv24/b89xP3J/c490j3Vvdk93P3g/eV96f3uvfM99/38/gI+B/4OfhW+HX4lPi1+NT48fkM+Sb5PvlV+Wv5gPmV+aj5uvnL+dv56/n7+gz6Hvoz+kj6Xfpx+oT6lfqk+rP6wvrT+uf6/vsW+zD7Sftg+3X7iPuY+6j7t/vI+9r77vwC/Bb8Kfw7/Ez8XPxt/H/8lfyt/Mn85/0H/Sn9TP1x/Zj9w/3z/ij+Yf6e/t3/G/9X/47/wP/tABQAOABaAHoAmQC4ANYA9AESATIBUwF2AZsBxAHuAhgCPwJjAoECmAKpArQCvQLEAswC1gLiAvAC/wMOAxwDKQM2A0IDUANhA3MDhwOYA6YDrgOtA6QDlQOBA2wDWgNOA0kDSgNQA1cDXgNhA18DWgNTA0wDSwNQA1wDcAOJA6QDvAPPA9oD2gPRA78DpQOHA2UDQgMfAv4C3gLCAqkClAKEAngCcAJsAmsCbAJwAnQCewKCAosClQKfAqoCtAK8AsQCyQLNAs8C0QLSAtMC1ALUAtMC0QLNAskCwwK9ArcCswKwAq4CrQKsAqsCqgKnAqUCpAKjAqQCpwKtArMCuwLDAskCzgLRAtMC0wLSAtEC0QLQAtACzwLOAs4CzALLAsoCyQLJAskCygLKAsoCyQLGAsECuwK0AqwCowKaApICiQKBAngCcAJnAl4CVAJKAkACNwIvAigCIgIdAhoCFwIVAhMCEQIPAg0CCgIIAgUCAwICAgICBAIFAggCCgIMAg0CDQINAgwCCwIKAgkCCQIJAgoCCwIMAg0CDgIPAhACEgIVAhgCHAIiAigCLgI0AjsCQQJGAkwCUQJWAloCXwJjAmcCagJuAnECcwJ1AncCeAJ5AnkCegJ6AnoCegJ5AngCdwJ1AnQCdAJ0AnUCeAJ8AoAChgKMApMCmgKiAqsCtgLCAtAC3gLsAvoDBgMQAxcDHQMhAyUDKgMxAzsDSANYA2sDfwOTA6YDtwPGA9ID3APiA+YD5wPoA+cD5wPnA+oD7wP3BAIEDwQdBBEEHgQoBC4EMwQ3BDoEQARHBFAEWwRnBHMEfwSLBJYEoASqBLQEvgTHBNAE2gTjBOwE9gUBBQ4FGwUpBTcFRAVPBVYFXAVfBWIFZwVwBX4FkwWsBccF4gX4BgcGCwYFBfUF3wXGBa8FnQWSBZAFlgWhBa4FuwXEBccFxQW9BbAFoQWRBYIFdgVtBWgFaAVtBXYFhAWVBagFvAXOBd0F5wXtBe4F6wXnBeQF4gXkBekF8QX7BgcGEQYbBiIGKQYvBjUGOwZCBkgGTQZPBlAGTgZMBkkGSQZNBlUGYQZwBoEGkAadBqcGrga1BrwGyAbcBvkHIQdRB4gHxAgACDsIcgikCNAI9wkYCTUJTQlhCXEJfQmFCYoJjgmSCZUJmwmiCaoJsgm5Cb0Jvwm9CbkJsgmrCaQJoAmfCaAJpAmpCa0JrwmuCaoJpAmbCZMJjAmKCYwJlgmkCbgJzgnlCfkKCQoTChkKGwocCh4KJQoxCkUKXwp+Cp8KwArfCvwLGAs2C1gLggu3C/YMQAyQDOANKw1sDZ4NwA3UDd0N4Q3lDe8OAQ4bDjoOWg50DoIOgQ5tDkgOFQ3bDaENbA1DDSgNHA0dDScNNg1EDU0NTQ1EDTANFAzxDMgMngxyDEYMGgvvC8ULnQt6C1wLSAs+C0ILUQtrC4sLrAvIC9kL3AvOC7ELiAtZCyoLAQrjCtEKygrLCs0KywrBCq0KjQplCjgKCgnfCbkJmAl7CV8JQAkdCPMIwwiPCFkIJgf2B80HqgeMB3IHWQdBBygHDQbyBtgGvwanBpIGfgZsBlwGTwZGBkIGRQZQBmMGfAabBroG1wbvBv4HBAcABvMG3gbFBqgGiwZsBk8GMwYYBf8F5wXSBb8FrgWeBY4FfgVsBVgFQwUtBRgFBgT4BO0E5wThBNsE0QTBBKwEkQRzBFUEOwQoBBwEGAQXBBcEEgQGA/ED1AOwA4sDaQNQA0EDPQNCA0sDVANYA1UDSgM4AyMDDgL7AuwC3wLTAsICqwKJAl4CKgHxAbgBggFSASkBAwDcALEAfgBA//r/rv9i/xv+3v6s/of+av5Q/jT+Ev3m/bH9dv04/Pz8xfyW/G78TPws/Ar75fu8+477X/sx+wX63vq7+pv6ffpe+j36G/n3+dP5sPmQ+XL5Vvk6+R34//jf+MD4pfiQ+IT4g/iM+J74s/jJ+Nr45Pjk+Nr4x/is+Ir4Yvg0+AH3yfeO91H3Fvbg9rH2i/Zv9lv2TPY/9i/2HPYF9ev10vW99a31pPWh9aD1nvWY9Yn1cfVS9TD1DvTw9Nv0zfTH9MX0wvS69Kz0l/R89F/0Q/Qq9Bf0CfP98+/z3PPC86DzdvNG8xTy4vK08oryZPJB8h/x/vHd8bzxnfGA8WjxVvFH8T3xNvEw8S3xLPEv8TfxRvFb8XPxi/Gd8aTxnPGB8VPxFfDN8IDwNe/y77zvk+9472rvZu9q73Tvge+R76PvtO/D787v0+/Q78TvsO+V73bvVu837xrvAO7o7s/ute6X7nXuUO4p7gTt4+3H7bPto+2X7Yztfu1q7VHtM+0R7O7sy+yq7I3sdOxc7EfsMuwe7Avr+uvt6+Xr4evg6+Dr3uvX68jrseuT63LrUes26yXrIusr60HrX+uB66HrvOvO69fr2uvY69br1uva6+Tr8ev/7ArsEOwN7ADr6evL66frgetc6zrrHesF6vLq4urV6sjquuqq6pjqhepv6lrqR+o26ijqH+oa6hnqG+oe6iLqJeon6ibqI+of6hvqGOoW6hbqGOoa6hzqHuog6iHqIeoi6iPqJeon6ijqKOol6h7qE+oF6fXp4+nS6cPpt+mt6aXpnumY6ZDph+l86XDpY+lY6U3pRek/6TrpNuky6S3pJukc6RHpBej56O3o5Oje6Nvo3Ojf6OXo6+jv6PHo7ejj6NTov+il6IrobuhU6D3oK+gc6BHoCegC5/rn8efn59zn0OfF573nuee658Lnz+fj5/3oG+g76Fvoe+iY6LLoyOjb6Ovo+ekG6RPpIOks6TjpQelI6UzpTOlK6UfpQ+lB6UDpQulH6U3pVOlb6WLpaOlt6XPpeumC6Yzpl+mj6bDpvenK6dXp3+np6fHp+On96gHqAuoA6fvp8+nq6d/p1unO6cjpxunG6cnpzenR6dbp2unf6eTp6enw6ffp/+oI6hHqGuoi6irqMeo46kDqR+pP6lfqXupl6mvqcOp16nvqguqL6pbqo+qy6sLq0+rk6vXrBOsT6yDrLes660brUute62rrduuC643rmuum67Trw+vS6+Pr9OwG7BjsK+w97FDsYexy7ILskeye7KvstuzB7Mzs2Ozk7PHs/+0O7R3tLO077UntWO1l7XPtgu2R7aHtsu3E7dbt6e377g3uH+4w7kLuU+5k7nbuiO6a7q3uwO7U7uju/O8R7ybvPO9R72jvf++W763vxe/e7/bwDfAj8DjwSvBb8GvwePCF8JHwnvCs8Lvwy/Dc8O7xAPES8SLxMfE98UfxT/FW8VzxYvFp8XHxe/GH8ZXxo/Gy8b/xy/HW8eDx6vH08f/yDPIb8ivyPPJM8lzyavJ28oHyjPKW8qLyrvK88sry2fLp8vjzBvMV8yTzM/ND81PzY/Ny837ziPON85DzkfOS85TzmPOh863zvPPN893z7fP79AX0DvQV9Bv0IvQq9DT0P/RL9Fj0ZPRv9Hv0iPSV9KP0sfTA9M/03fTq9PX0//UJ9RT1IPUt9Tv1S/Va9Wr1ePWF9ZL1oPWv9cD11PXp9f72EvYk9jT2P/ZJ9lL2XPZp9nn2jfak9rz21Pbq9vz3C/cX9yL3LPc490f3WPds94H3mPew98r35vgF+Cj4Tvh3+KL4zPjz+Rb5M/lL+V35a/l3+YL5jvmb+ar5u/nN+d/58/oG+hr6LfpA+lL6Yvpx+n36ifqT+p/6rfq/+tX67vsL+yj7Rftf+3b7ifuZ+6f7tvvF+9f77PwD/Br8MPxF/Fb8Zfxy/H78i/yb/K/8x/zk/Qf9L/1d/Y/9xf3//jv+ef61/u//Jf9W/4L/qf/M/+4AEAAyAFYAegCfAMIA4wEBAR0BOAFTAW8BjQGvAdMB9wIbAj0CWgJzAocCmAKoArcCxwLZAu0DAgMXAywDQANUA2gDfAOPA6IDswPAA8UDwwO4A6UDiwNuA1EDOAMmAx0DGgMeAyQDKgMuAy4DKgMjAx0DGwMdAyYDNgNJA18DcwOBA4gDhgN6A2YDSwMrAwgC5QLEAqUCiQJyAl4CTgJCAjoCNQIyAjECMQIzAjYCOgJAAkgCUgJcAmgCdAJ+AogCjwKVApkCmwKdAp0CnQKcApkClQKPAocCfwJ2AmwCZAJdAlgCVAJSAlECUAJQAlECUgJUAlcCXAJhAmgCbwJ2AnwCgQKEAocCiAKJAosCjAKOApEClAKXApgCmgKaApkCmAKWApQCkgKQAo4CiwKIAoMCfgJ3Am8CZgJcAlECRgI6Ai8CJAIZAg8CBQH8AfQB7AHlAd4B2QHVAdIB0AHPAc4BzgHOAc0BzQHLAckByAHHAcYBxgHIAcoBzQHQAdMB1QHXAdgB2AHYAdcB1wHXAdgB2QHbAd0B4AHiAeUB5wHrAe4B8gH3Af0CAwIJAhACFwIeAiUCLAIyAjgCPgJDAkgCTAJQAlQCVwJbAl4CYAJiAmQCZQJlAmQCYwJiAmECYAJfAmACYgJlAmkCbwJ2An4ChwKQApkCowKuArgCxALRAt4C7AL5AwUDEAMYAx8DJAMoAywDMAM2Az8DSgNYA2cDeAOKA5oDqAOzA7sDvwO/A70DuAO0A7ADrgOwA7YDwAPOA94D8AQBA/8ECQQOBBEEEgQTBBUEGQQgBCkENQRCBFAEXwRuBH0EjQSdBKwEvATKBNYE4AToBO4E8wT4BP8FCAUSBR4FKwU2BUAFSAVNBVIFWAVhBW8FggWbBbYF0QXpBfkGAAX9BfEF3QXHBbIFoQWXBZYFmwWmBbIFvQXEBcUFwAW2BagFmgWLBYAFeAV0BXUFegWDBY8FnAWrBboFyQXWBeEF6QXuBfEF8gXzBfQF+AX+BgYGEAYbBiUGLwY3Bj0GQgZGBkkGTQZRBlQGVgZWBlUGUwZRBlAGUQZWBl4GagZ3BoYGlAagBqwGuAbGBtoG9QcZB0gHfge6B/gINAhqCJkIwAjgCPwJFQkvCUoJaAmHCaUJvwnTCd8J4gndCdAJvwmsCZkJiAl6CW4JYwlbCVIJSwlECT8JPAk8CUEJSglWCWMJcgl+CYgJjgmRCZEJjwmPCZEJlwmiCbIJxgncCfIKBwoZCicKMgo8CkQKTgpZCmcKdgqGCpYKpAqwCrsKxwrYCvELFAtFC4ILyQwWDGUMrgztDR4NQQ1XDWQNbQ12DYQNmA2yDc4N5w35Df0N8Q3VDaoNdA07DQUM2Ay4DKgMqAy0DMkM4Qz4DQcNDg0JDPoM4Ay9DJUMZww2DAILzguZC2ULNgsNCu0K2grWCuIK/QskC1ILgQuqC8cL1AvQC7oLlwttC0ILHAr/CuwK4wrgCt4K2ArKCrEKjQpgCi0J+AnFCZcJbglJCSUJAQjaCK4IfghLCBgH5we7B5QHcgdVBzoHHwcDBuUGxQalBoYGagZTBkAGMgYpBiMGIQYiBicGMAY+BlEGagaGBqQGwQbbBvAG/gcEBwIG+AbnBtEGtwaaBnsGXAY9Bh8GAwXqBdQFwQWvBZ0FiwV2BWEFSgUzBSAFEQUIBQUFCAUOBRMFFAUNBP4E5gTHBKUEgwRmBFEEQwQ7BDcEMQQmBBMD9gPSA6oDgANbAz0DKQMdAxgDGAMZAxgDFgMRAwsDBQMAAvsC9gLuAuACyQKoAn0CSwIVAd4BqgF6AU4BJAD4AMUAigBG//n/qP9X/w3+zP6X/m7+T/40/hj9+P3R/aH9bP00/Pz8yfyb/HP8UPwu/Ar74/u4+4n7Vvsk+vP6xPqa+nL6Tfop+gT54Pm7+Zj5dvlX+Tr5HvkD+Oj4zPiw+JX4f/hu+Gb4aPhz+IT4mviv+L/4x/jF+Lf4nvh8+FH4IPfr97P3evdB9wv22fat9oj2a/ZV9kT2OPYs9h/2EPX/9ez12vXK9b31tPWt9ab1nfWQ9X31ZfVJ9S31EvT79Or03/TX9ND0xvS49KP0ivRs9E70MfQY9ATz9PPl89fzxfOu85LzcfNM8yTy+/LR8qfyffJR8iTx9vHK8aDxe/Fc8UXxNPEp8SLxHfEZ8RbxFfEa8SbxOvFW8Xbxl/Gy8b/xu/Gh8XHxLvDd8IXwLu/f753vau9H7zPvLe8x7z7vUe9o74Hvme+t77vvwO+676nvkO9w707vLu8R7vru6O7X7sbuse6U7nHuSO4d7fTt0e237aftoO2e7Zztlu2H7W3tSe0d7O3sv+yV7HLsWOxG7DnsMOwo7CHsGewT7A7sCuwH7ATr/uvy697rwuug63rrVes26yLrHOsl6zvrWet665jrr+u867/rueuu66Trneud66TrsevA683r1evU68jrseuS623rResf6v3q4erL6rrqreqh6pbqiep66mfqUuo66iLqCeny6d3pzOm/6bbpsemv6bHptem56b7pwunF6cbpx+nH6cfpxunF6cTpxOnG6cnpzunU6d3p5unu6fXp+en66fbp7unj6dXpx+m56azpoOmW6Y3pg+l36WnpWulJ6TjpKOkb6RHpC+kJ6QnpDOkO6Q7pDOkH6P7o8ujk6NXox+i66K/oqOil6KTopuiq6K7osOiw6KvooeiS6H7oZ+hO6DToHegJ5/nn7ufm5+Ln3+fc59fn0OfH57znseep56Tnpeet57zn0efq6AboI+g+6FXoaeh56IfolOih6LDowOjS6OTo9OkC6QzpEukU6RLpD+kM6QrpCukN6RLpGOkf6SbpLOky6TjpPulE6UzpVelf6WnpdOl+6Yfpj+mX6Z7ppOmo6azprumu6azpqemk6Z7pmemU6ZHpj+mO6Y/pkOmS6ZTplumZ6Z3ppOms6bbpwenM6djp4unr6fLp+en/6gTqCuoR6hnqIeop6jHqOepA6kfqT+pX6mHqbep66onqmuqq6rvqzOrc6uvq+esG6xPrIOss6zjrRetR617ra+t464brlOuj67Prw+vT6+Tr9ewG7BfsKew57ErsWexn7HXsgeyM7Jfsouyu7LrsyOzX7Ojs+e0K7RztLe0+7U/tX+1v7X7tj+2g7bLtxe3Y7ezuAO4U7ifuOe5L7lzube597o7un+6x7sTu2O7s7wHvF+8s70PvWe9x74jvoe+579Lv6/AC8BnwL/BD8FXwZfB08IHwjvCa8KXwsfC+8Mzw2vDo8PbxBPER8RvxJPEr8THxNvE88ULxS/FW8WLxcPF/8Y7xnPGp8bbxwvHO8dzx7PH+8hLyJvI68k3yXfJq8nXyfvKF8o7yl/Kj8rLywvLT8uTy9vMF8xPzIPMs8zbzQPNI81DzV/Nd82HzZvNq82/zdfN+84nzlfOj87LzwPPN89nz5PPu8/f0AfQL9Bb0IfQs9Dj0Q/RP9Fz0afR29IX0lPSj9LP0wfTP9Nz06fT19QH1DvUc9Sr1OfVI9Vj1Z/V39Yj1mfWs9cD11PXn9fj2B/YS9hv2IvYp9jH2PfZM9l72dPaL9qD2tPbD9s/22Pbg9un29PcE9xj3MPdL92j3h/en98r37/gZ+Ef4e/ix+Oj5HflN+XX5k/mm+bD5tPmz+bL5s/m4+cL50Pni+ff6DPoi+jb6SfpZ+mj6dPp++of6kPqZ+qT6svrE+tn68vsO+yr7Rvtg+3f7i/uc+6z7vfvP++X7/fwY/DP8Tfxl/Hr8ivyX/KL8rfy6/Mr84fz+/SL9Tv2B/bj98/4v/mr+o/7X/wX/Lv9R/3H/jv+t/87/8wAcAEgAdQChAMkA7AEHAR0BLwE/AVEBZwGCAaMBxwHvAhYCOwJdAnoCkwKrAsIC2wL2AxQDNANUA3QDkgOrA8ED0QPcA+ID4wPeA9MDwQOrA48DcgNUAzgDIAMPAwQC/wL+Av8DAAL/AvwC9gLvAugC5QLmAu0C+AMIAxgDJwMyAzYDMgMmAxIC9wLXArQCkQJuAk0CMAIYAgQB9QHrAeYB4wHkAeYB6gHuAfMB+AH/AgYCDwIaAiUCMQI8AkYCTgJUAlkCWwJdAl0CWwJZAlUCUAJJAkACNwItAiICGQIRAgwCCAIGAgYCBgIIAgoCDQIQAhMCFwIcAiECJwItAjMCOAI8Aj8CQQJDAkUCSAJKAk0CUQJUAlYCWAJZAlkCVwJVAlECTQJIAkQCPwI6AjUCMAIpAiICGgIQAgYB+gHuAeIB1gHLAcEBtwGuAaYBnwGYAZIBjQGIAYQBggGAAYABgQGCAYQBhgGHAYgBiAGIAYgBiAGJAYsBjgGRAZQBmAGbAZ0BnwGgAaEBogGjAaQBpgGpAawBrwGzAbcBuwG+AcIBxwHLAdAB1gHdAeQB7AHzAfsCAwIKAhECFwIdAiMCKAItAjICNwI8AkECRQJJAkwCTQJPAk8CUAJRAlICUwJWAloCXwJlAmwCdAJ8AoUCjwKZAqMCrgK5AsQC0ALcAugC9QMBAw4DGgMmAzEDOwNFA04DVQNdA2MDagNxA3cDfgOFA4oDjwOTA5QDkwOQA4sDhwODA4IDhAOLA5YDpgO4A80D4APxA/4EAQQBA/4D+wP4A/cD+gQABAoEFQQjBDIEQgRTBGYEegSPBKUEugTOBN8E7AT2BPwFAAUEBQcFDAUTBRwFJgUvBTcFPQVCBUgFTwVaBWoFgQWdBbsF2QXzBgQGDAYJBfsF5wXRBbwFrQWnBaoFtQXFBdcF6AX0BfoF+AXxBeYF2QXNBcIFvAW4BbgFugW9BcAFxAXIBcsF0AXVBdsF4gXpBfEF+gYCBgsGFAYdBiYGLwY3Bj4GRAZJBk4GUgZYBl4GZQZtBnUGfQaEBokGjgaRBpQGmQaeBqUGrQa2BsAGywbWBuMG9AcLByoHUgeCB7oH9ggzCGwInQjECOEI9AkACQoJFAkkCTkJVQl0CZUJsQnFCc8JzAm9CaQJhQliCT8JHwkECO4I3QjQCMUIvQi4CLUItwi+CMoI3Qj0CQ4JKQlDCVkJawl3CX4JgwmHCYsJkwmfCbEJxgnfCfkKFAouCkcKXgpzCoYKmAqnCrQKvQrBCr8KtwqrCp0KkQqLCpAKowrFCvULMgt3C74MAgw+DG8MlgyzDMoM3gzzDQsNKA1GDWMNeg2GDYMNcA1NDRwM5AyqDHUMSQwsDB0MHgwpDD0MUwxmDHQMeQx0DGUMTQwuDAsL4wu6C5ALZws+CxYK8grSCrkKqAqiCqgKuwrXCvsLIgtIC2kLgAuMC4sLfwtrC1ILOAsfCwkK9QriCs4KtQqWCnAKQgoRCd0JqQl5CU0JJAj/CNoItAiMCF8IMQgAB9EHpQd9B1oHPAchBwgG7QbRBrMGkwZzBlUGOwYmBhgGDwYMBg0GEQYXBh8GKQY3BkcGWgZxBokGoQa4Bs0G3AbmBuoG6AbgBtIGwAarBpIGdwZaBj4GIgYIBfAF2wXHBbQFogWPBXsFZwVUBUMFNgUvBS0FLwUzBTcFNgUvBR8FCATpBMgEqASLBHUEZgReBFgEUwRJBDkEIQQCA94DuQOWA3kDYgNTA0kDRAM/AzsDNAMsAyQDGwMUAw0DBAL5AugCzwKtAoECTwIYAeABqwF4AUoBHADuALwAgwBB//j/q/9d/xP+0P6X/mn+Qv4h/gL94P26/Y79Xf0q/Pf8x/yb/HP8Tvwq/Ab73/u1+4j7V/sn+vf6yfqd+nX6Tvop+gX54/nB+aH5hPlp+VD5Ovkj+Q349vjf+Mj4s/ii+Jf4k/iW+J74qfi0+Lr4ufiu+Jn4evhS+CP38Pe894j3Vfcm9vz21va19pn2gvZu9l32TfY+9i/2IPYQ9gH18vXk9dj1zfXB9bP1pPWQ9Xr1YvVJ9TH1G/UJ9Pv07/Tj9Nf0x/S09J30g/Ro9E30NfQf9Avz+vPo89XzwPOo843zcfNT8zTzFPLy8s3yo/J18kTyEvHh8bXxkPF18WPxWvFW8VTxUvFO8UjxQvFA8UTxUPFl8YDxnfG28cPxv/Gl8XbxM/Dh8IfwLu/b75bvYe897yrvJ+8v70HvWe9z747vpe+377/vve+w75nve+9Z7zfvGu8C7vLu5u7c7tDuve6h7nzuUO4g7fLtyu2s7ZjtjO2F7X3tb+1Y7TbtCuzY7KXsduxQ7DTsJOwd7BzsHewc7BjsEOwF6/jr7Ovi69jrzeu/663rlet461frOOsd6wzrB+sP6yLrO+tX62/rf+uG64Lrd+tp61zrVOtU61zraet564Xri+uH63frXOs66xTq7urN6rPqoeqX6pPqkeqR6o7qh+p66mjqUOo16hfp9+nZ6bzpo+mN6X3pculr6Wrpbely6Xrpg+mL6ZLpmOmb6Zzpm+mZ6ZbpkumR6ZDpk+mX6Z7ppumv6bfpvenA6cDpvem36a/ppemb6ZLpiOl+6XTpaOlZ6UjpNekg6Qvo+Ojn6Nro0ujP6NHo1ejb6ODo4+ji6N7o1OjG6LXoo+iP6H3obuhj6F7oXuhj6GvoduiB6InojOiI6H3oauhS6DXoF+f75+LnzufB57rnuOe457nnuOe156/np+ee55fnk+eV55znqee859Hn6Of96BDoIOgs6DboP+hJ6FboZuh46I3ooei16Mbo0+jc6OHo4+jj6OPo4ujj6OXo6Ojs6PHo9uj86QLpCOkP6RfpH+kn6S7pNek76T/pQulF6UfpSelL6U7pUelT6VbpWOla6VvpXele6WDpYeli6WLpYulh6V/pXulf6WHpZulv6XnphumU6aLpr+m56cHpyOnN6dHp1enb6eLp6unz6f3qB+oR6hrqI+os6jXqP+pK6lbqZOpz6oPqlOql6rbqxurW6uXq8+sB6w/rHOsp6zbrQ+tR61/rbet764rrmOum67TrwuvR6+Dr7+wA7BHsIuwz7EPsUuxg7GzseOyD7I7smuyo7LfsyOzb7O7tAe0U7SftOe1L7Vztbu2A7ZPtqO2+7dTt6u3/7hTuJ+447kjuV+5m7nXuhe6W7qjuu+7Q7uXu++8R7yfvPO9S72fvfe+T76nvwO/W7+3wBPAb8DHwRfBY8GjwdvCC8IzwlPCb8KPwrPC28MLw0PDe8Ozw+vEH8RPxHvEo8TPxP/FN8VzxbfF98Y7xnPGp8bTxvvHH8dHx3vHt8f/yE/In8jvyTfJc8mfyb/J28nzyhPKN8pryqfK78s3y3vLt8vnzA/MJ8w7zEfMV8xnzH/Mm8y7zN/NB80vzVfNg82vzdvOB843zmfOm87PzwPPN89rz5vPy8/30CPQT9B30J/Qx9Dz0SPRV9GP0cvSC9JP0pPS19MX01vTl9PT1A/UR9R71LPU69Ur1WvVs9YD1lfWr9cH11fXm9fT1/vYE9gn2DPYR9hn2JPYz9kT2V/Zo9nb2gPaH9oz2kPaY9qT2t/bQ9vD3FPc792H3h/es99H3+fgk+FX4jPjH+QT5QPl0+Z/5v/nR+dn52PnT+cz5yvnM+dX54/n2+gv6Ifo1+kf6Vfph+mv6dPp8+oX6j/qa+qf6t/rK+t/69vsQ+yr7Rftf+3j7kPuo+7/72Pvy/A78K/xK/Gn8hvyg/Lj8yvza/Of88/0B/RL9KP1F/Wj9kv3D/ff+Lf5i/pX+wv7p/wv/Jv8//1b/cP+P/7T/4QAUAEsAhAC6AOkBDwEsAUEBTwFaAWYBdgGMAaoBzgH2AiACSgJwApQCtQLVAvYDGQNAA2sDmAPFA+8EFAQwBEIESQRFBDcEIQQFA+UDwwOhA38DYANEAysDFwMIAvsC8gLpAuEC2ALOAsMCuAKuAqgCpQKoAq8CugLIAtYC4gLqAuwC5wLZAsUCqgKLAmgCQwIeAfsB2wG/AagBlgGLAYQBgwGFAYoBkQGaAaIBqwG0Ab4ByAHTAd4B6gH0Af4CBgINAhECFAIWAhYCFAISAg8CCgIEAf4B9gHvAecB4AHaAdUB0gHRAdAB0QHSAdMB1AHVAdcB2QHdAeEB5wHtAfMB+QH+AgICBAIGAgcCBwIHAgcCCAIJAgsCDQIOAg8CDwIOAgsCCAICAf0B9gHvAekB4gHaAdMBygHBAbcBrQGhAZYBigF/AXUBawFjAVsBVAFOAUgBQgE9ATkBNgE0ATQBNAE2ATkBPAE/AUIBRQFHAUkBSwFNAU8BUQFTAVYBWgFdAWABYgFkAWYBaAFqAWwBbwFyAXYBegF/AYQBiQGPAZQBmgGgAaYBrQG1AbwBxAHMAdQB3AHjAeoB8QH3Af4CBAILAhECGAIeAiQCKQItAjECMwI2AjgCPAJAAkUCSwJSAlsCYwJsAnUCfgKHApECmgKlAq8CugLFAs8C2gLlAvAC+wMIAxUDJQM2A0gDWgNsA3wDiQOTA5kDmwOaA5YDkQOLA4UDfwN7A3YDcgNvA20DbANuA3MDfAOJA5oDrgPCA9YD6AP1BB0EHQQZBBMEDAQIBAYECAQNBBUEHwQrBDgERwRXBGkEfQSTBKwExQTdBPMFBgUVBSEFKQUvBTUFOgU/BUQFSAVMBU0FTQVNBU4FUwVeBXAFigWqBc0F7wYMBiEGKgYoBhwGCAXzBeAF1AXSBdsF7QYGBiIGPQZUBmMGawZsBmcGXwZUBkoGPwY1BisGIAYTBgQF9gXnBdsF0wXQBdIF2QXkBfMGAgYSBiAGLAY2Bj0GQwZHBkoGTgZSBlkGYQZrBngGhgaVBqUGtQbFBtMG4AbtBvcHAgcLBxQHHQcmBy4HOAdEB1MHaAeEB6YH0AgACDMIZQiUCLsI2AjqCPEI8gjuCOsI7Qj2CQcJHgk6CVUJbAl5CXoJbwlXCTYJEAjnCMAInAh+CGYIUghDCDcILwgrCCwINAhDCFkIdgiYCLwI4QkDCR8JNglICVUJYQluCX4JkgmtCcwJ7woUCjkKXAp8CpkKswrJCt0K7wr9CwYLCAsDCvUK3grBCqAKgApmClYKUwpgCn0KpgraCxILSgt/C68L2Qv+DCEMQwxnDI4MtQzbDPsNEQ0ZDREM+AzPDJoMXgwhC+kLuwuaC4gLgguHC5ILoAurC7ELrwukC5ILegtdC0ALJAsLCvcK5wrZCs8KxQq7Cq8KpAqaCpIKjwqTCp4KsArKCugLBwslCz8LUgtbC1sLUAs8CyAK/ArSCqQKcgo9CggJ1AmhCXMJSAkiCP4I3Qi8CJkIcwhJCB0H7ge/B5IHaQdEByUHCgbyBtsGwwarBpEGdwZeBkYGMgYjBhkGFAYTBhUGGgYgBicGMAY6BkYGVAZkBnMGgwaQBpsGogamBqcGpAagBpkGkAaFBnkGaQZXBkMGLgYYBgIF7QXZBcYFtAWjBZIFgQVwBWEFUwVHBT4FNwUxBSoFIAUSBP8E6ATOBLMEmQSDBHIEZQRcBFUETARBBDEEHAQEA+oD0QO8A6wDoQOaA5YDkQOKA34DbwNdA0gDNAMiAxEDAQLwAtsCwAKdAnACPAICAcUBiAFOARgA5gC1AIQATwAV/9b/kv9M/wb+xf6J/lX+J/3//dr9tf2P/Wf9Pf0R/OT8ufyP/Gf8Qfwb+/T7y/ug+3P7RfsX+ur6wPqX+nL6Tvos+gz57PnO+bH5l/l/+Wr5V/lE+TH5HvkJ+PX44vjR+MT4vPi5+Ln4u/i7+Lb4qviV+Hf4UPgh9+/3vPeM91/3OPcX9vv24/bO9rr2pfaQ9nn2YvZL9jX2IPYO9f/18vXm9dr1zPW89an1k/V69WD1RvUt9Rf1BPTz9OT01fTF9LP0n/SI9HH0WfRE9DD0HvQN8/zz6vPV873zovOG82vzUPM38yDzCfLv8tHyrPKC8lPyIfHy8crxq/GY8ZDxkfGX8Z7xofGd8ZTxhvF38WzxaPFt8XnxifGX8Z3xlPF48UfxAvCw8FXv+++o72PvMe8S7wbvC+8d7zjvV+9275Hvpe+w76/vpO+O73LvUe8x7xXu/+7x7uru5u7j7truyu6u7ojuWu4m7fPtxO2c7XztYu1L7TPtFuzx7MXslexj7DbsEuv66+7r7Ovy6/nr/Ov56+7r2uvA66PriOtw61zrTOs+6y/rHusK6vTq3urM6sHqvurG6tfq7esF6xrrKOsu6y3rJesb6xLrD+sS6xvrJ+s06z3rPes06x/rAere6rrqmeqA6nDqaupu6nfqg+qO6pTqleqN6n7qaOpM6i3qDenr6cvpremS6XrpZ+lX6U3pR+lF6UfpS+lR6VjpXulk6Wnpa+ls6Wzpaulo6WbpZell6Wfpaulv6XTpeel+6YHpgumB6X7peelz6W3pZulf6VfpTulE6TfpKOkW6QPo7+jb6Mrou+ix6Kvoqeir6K7osui16LTor+im6Jjohehw6FvoRug26CroJegl6CzoNuhC6E3oU+hU6E3oPugo6A3n7ufQ57Xnn+eQ54fnhOeG54nnjeeQ55DnjeeJ54Xng+eD54nnk+eh57PnxufY5+nn9ugB6AroEegZ6CLoLeg86E3oX+hy6ITolOig6KrosOi06Lbotui26LfouOi66L7ow+jJ6NDo2Ojh6Ono8Oj26Pro/Oj86Pvo+Oj16PPo8ejx6PLo9ej56P7pA+kK6RDpF+kd6SPpKOks6S3pLekr6SjpJekj6SLpJekr6TTpQelQ6WDpb+l86YjpkemY6Z7po+mp6bDpuOnC6c3p2Onk6e/p+eoD6gzqFOod6ibqMOo76kjqVupm6nfqiOqa6qzqvOrM6tvq6ur46wXrE+sh6y/rPetM61rraOt164Lrj+ud66rruevK69vr7uwB7BPsJew17ETsUexd7GjsdOyA7I7sneyu7MHs1Ozo7PvtDu0h7TTtR+1c7XHtiO2f7bftzu3l7fruDu4f7jDuP+5O7l7ubu6A7pPuqO697tLu6O797xLvJu86703vYO9z74Xvme+t78Lv1+/u8ATwGvAv8EHwUfBd8GbwbfBz8Hjwf/CI8JTwo/C18Mjw3fDy8QfxG/Ev8UTxWfFv8YbxnvG08cjx2PHk8evx7/Hw8fDx8vH38gDyDfId8i/yQPJP8lzyZfJs8nLyePJ/8onylvKl8rTyxPLR8tvy4fLk8uXy5fLm8uny7/L48wPzEfMg8y/zPvNL81fzYvNt83fzgfON85nzpfOy87/zzPPX8+Lz7PP28//0CPQS9B30KfQ39Eb0VvRo9Hv0j/Sk9Lj0y/Td9O30+/UI9RP1HvUp9Tf1R/VZ9W/1h/Wf9bf1zPXe9ev19PX59f32AvYJ9hL2HvYs9jv2R/ZP9lL2UfZO9kz2TfZX9mr2h/av9t33Dvc/9233lPe399b39PgV+Dv4aPia+ND5B/k5+WL5gfmV+Z75oPme+Z35n/mo+bf5zPnk+f36FPoo+jf6QvpK+lH6V/pf+mr6d/qH+pn6rvrE+tz69vsR+y77TPtr+4z7rPvN++78Dvwv/E/8bvyN/Kv8x/zh/Pj9Df0f/TD9QP1Q/WP9ef2U/bP91/4A/iv+V/6B/qn+zP7p/wL/F/8s/0L/Xf9//6r/3wAbAFsAnQDbARMBQAFkAX0BjgGbAaYBtQHJAeMCBAIpAlACeQKhAscC7QMUAz0DaQOaA84EBAQ5BGoEkgSwBMAEwQS1BJsEeAROBCAD8QPEA5oDdQNVAzoDIwMPAv0C6wLZAsYCsgKeAowCfAJvAmgCZwJrAnQCgAKNApoCowKnAqQCmgKKAnMCVgI2AhMB7wHLAagBiAFrAVMBPwExASgBJAElASkBMAE5AUQBTwFaAWYBcgF+AYoBlgGgAaoBswG6Ab8BwwHFAccBxwHGAcQBwgG/AbwBuAGzAa8BrAGoAaYBpAGjAaIBoQGgAaABnwGfAaABoQGkAagBrQGyAbkBvwHEAcgBywHMAcsBygHIAccBxQHFAccByQHLAc4B0AHRAdABzgHKAcMBvAGzAaoBoAGWAYwBggF4AW0BYwFYAUwBQQE2ASwBIwEbARQBDgEJAQUBAQD+APsA+QD3APYA9gD3APkA/AD/AQIBBgEKAQ0BEAETARYBGAEbAR0BIAEiASUBJwEqASwBLgExATQBNwE7AT8BRAFKAVABVwFeAWYBbgF1AX4BhgGOAZcBnwGnAbABtwG/AcYBzgHVAdwB5AHsAfMB+wICAgcCDAIQAhMCFQIYAhwCIQInAjACOgJFAlECXQJpAnUCgAKLApYCogKuAroCxwLTAt4C6QLzAvwDBgMRAx0DLQNAA1UDawOCA5YDpwOzA7oDuwO2A64DowOYA40DgwN7A3YDcgNxA3MDdwN+A4kDlwOpA74D1APqA/4EDQQYBGcEaARkBF8EWARTBFEEUgRWBF0EZQRvBHkEhASQBJ8EsATEBNwE9QUPBSkFQQVWBWkFdwWEBY0FlQWaBZ0FnQWZBZMFiwWCBXsFeQV+BYwFowXBBeQGCAYpBkMGUgZXBlIGRwY5BiwGJgYoBjQGSQZkBoQGpAbABtgG6gb1BvoG+gb2Bu4G4QbRBrsGoAaBBl8GPAYcBgAF6wXgBd0F4wXwBgAGEwYlBjQGPwZIBk0GUAZTBlYGXAZkBm4GewaKBpoGrAa9Bs8G4Qb0BwYHGQcrBz4HUQdjB3QHhAeUB6MHsgfEB9gH8AgNCC0IUQh2CJkIuAjQCN8I5AjhCNgIywjACLoIvAjGCNgI8AkKCSAJLwk0CS0JGgj9CNgIsAiHCGAIPQgeCAQH7QfaB8oHwAe7B78HywfiCAEIKQhVCIIIrAjRCO4JBQkYCSgJOglSCXEJmgnLCgIKPAp0CqgK1Ar2CxALIgstCzQLOQs7CzoLNQsqCxcK/QrbCrQKjApmCkgKMwosCjIKRgpjCokKswrfCwsLOAtlC5MLwgv0DCYMVwyDDKYMvAzCDLYMmAxsDDML9Qu2C3wLSgslCw0LAgsACwQLCgsPCw4LBgr2CuAKxQqpCpAKfApwCm4KdAqACpAKoAqrCq4KqgqdCosKdgpkCloKWgpoCoQKqwrYCwgLMwtTC2ULZQtTCy8K/Aq/CnsKNgnzCbUJfwlRCSoJCQjsCNAIswiTCG4IRQgYB+kHuAeJB10HNgcTBvUG2wbFBrAGnAaJBncGZQZVBkcGPAY1Bi8GLQYsBi0GMAY0BjkGQAZKBlQGXwZqBnIGeAZ5BncGcQZoBl4GVgZPBkoGSAZIBkgGRgZCBjoGLgYeBgwF+QXmBdMFwgWxBaIFkwWEBXUFZAVUBUMFMQUfBQ0E+gTnBNIEvgSpBJUEgwRzBGQEVwRKBDsEKgQXBAID6wPVA8MDtQOtA6sDrgOzA7YDtQOuA6ADigNvA1EDMwMZAwEC7QLaAsUCqwKKAl8CKwHvAa4BbAErAO4AtQCBAFAAH//t/7f/ff8//wD+wf6E/kr+Fv3n/bz9lP1v/Un9Jfz//Nr8tPyO/Gb8P/wW++v7vvuR+2L7NPsH+tz6s/qN+mn6R/om+gb55/nI+az5kPl3+WD5S/k2+SH5Dfj4+OT40vjD+Lj4s/ix+LP4tfi0+K34nPiC+F34Lvf698T3j/dg9zj3GfcD9vL25fbX9sf2s/aa9n32XfY+9iL2CfX29ej13vXU9cn1uvWn9Y/1cvVT9TT1FvT79OX00vTC9LL0ovSP9Hr0Y/RM9DX0IPQP9ADz8/Pm89fzw/Or84/zcPNR8zPzGvMF8vPy4vLQ8rnym/J18kryHPHx8czxtPGo8ajxsvHB8c/x1vHV8cnxtfGd8YbxdPFq8Wjxa/Fv8WzxXfE78QbwvfBl8AXvpe9O7wbu0+647rPuwe7d7wLvKu9O72vvfe+D73zva+9S7zTvF+797uru3+7c7t/u5O7m7uPu1e677pfuae417f/ty+2b7W/tRu0f7Pbsy+yc7GzsPOwR6/Dr2evP69Dr2Ovi6+nr6Ovb68Lrn+t160rrIusA6ubq1OrG6rzqseqk6pXqhup56nDqb+p26oXqmeqx6sjq2+rn6u7q8Orv6u7q8Or06vvrA+sJ6wnrAury6trqu+qa6nnqXupK6kHqQepJ6lbqZep06n7qg+qC6nrqbepb6kbqL+oW6fzp4enF6anpjul16V3pSOk26SfpHOkV6RLpEukU6RjpHekj6SjpLOkv6THpMuky6TPpNek36TzpQelG6UzpUOlT6VTpUulP6UrpRulB6T7pOuk36TPpLekk6RfpB+jz6N7oyOiz6KHolOiM6InoieiL6I3ojuiK6IPoduhl6FHoPOgo6BfoCegB5/3n/Of95//n/uf55/Dn4ufP57rno+eN53nnaudg51rnWudc52HnZudq52znbedt52znbedw53XnfueL55rnque758vn2efl5+7n9+f96AToC+gT6B3oJ+gy6D7oSehU6F3oZOhq6G/oc+h26HnofeiB6IbojeiV6J7op+iw6LfovejA6MDovei46LLoq+il6KDoneib6Jzonuih6KborOiy6LnowejJ6NHo2ejg6OXo6Ojo6Ofo5Ojg6N7o3ujg6Ofo8ej+6Q3pHuku6T3pSulV6V/pZ+lv6XfpgOmL6ZfppOmy6cDpzenY6eLp6+ny6fjp/uoG6g/qGuon6jbqSOpa6m3qgOqS6qLqseq/6szq2Orl6vLq/+sO6x3rLOs760vrWutp63jriOuZ66rrvevP6+Lr9ewG7BbsJOwy7D/sS+xZ7GfsduyG7Jfsqey77M3s4Oz07QjtHO0y7UntYe167ZLtqu3A7dbt6u397g/uIu407kfuW+5w7oXumu6v7sPu1+7q7v7vEe8k7zfvS+9e73HvhO+W76nvvO/Q7+Pv9vAJ8BvwKvA38ELwS/BT8FvwZPBw8H7wj/Ci8LjwzvDm8P3xFfEu8UfxYvGA8Z/xvvHc8fbyDPIb8iLyI/If8hjyEfIN8gzyEfIa8ifyN/JG8lPyXvJm8m3ycvJ48n/yifKU8qDyrfK48sDyxvLJ8snyyfLK8s7y1PLe8uzy/fMP8yDzMvNB807zWfNj82vzdPN884XzjvOX86DzqvOz87zzxfPO89nz5PPw8/30C/Qb9Cz0P/RT9Gf0ffSS9Kf0uvTL9Nn05fTv9Pf0//UJ9RX1JvU79VP1b/WL9aX1vfXP9d315/Xu9fT1+/YE9hD2HfYp9jP2OfY49jL2J/Yc9hX2F/Yl9kH2a/ag9tz3GvdU94X3rPfI99z36/f5+Az4JPhE+Gn4kfi4+Nn49PkG+RH5F/kc+ST5MflE+V75fvmg+cL54Pn6+g36HPon+jD6OfpF+lT6Z/p9+pb6sfrN+uz7C/st+1D7dPua+8H75/wL/C78T/xs/If8oPy4/M785fz7/RL9KP0+/VT9av2B/Zj9sP3K/ef+Bv4o/kr+bf6O/q3+yf7h/vf/C/8f/zf/VP96/6j/3wAeAGEApgDoASUBWQGDAaQBvQHQAeEB8gIFAhwCOAJYAnsCoALHAvADGQNEA3IDowPXBA4ERQR7BK0E2AT4BQ0FFAUNBPkE2QSwBIAETQQYA+MDsgOEA1sDNgMVAvcC2wLAAqUCiwJyAlwCSAI6AjECLgIxAjkCRAJPAlkCXgJdAlUCRgIvAhMB8wHQAawBiQFnAUgBLAESAPwA6QDbANAAyQDGAMcAzADTAN0A6QD1AQIBDwEcASkBNAE/AUoBUgFaAWEBZgFrAW4BcAFxAXIBcgFxAXEBcAFvAW4BbQFsAWwBawFrAWsBawFrAWwBbQFuAXABcwF2AXsBfwGEAYgBjAGQAZIBlAGVAZUBlAGUAZMBkwGUAZYBmAGaAZ0BnwGgAZ8BnQGZAZMBiwGBAXYBawFgAVQBSAE9ATIBJwEcAREBBwD8APIA6QDiANsA1gDTANEAzwDPAM4AzgDOAM4AzQDNAM4AzwDRANMA1gDaAN4A4gDmAOkA7QDvAPIA9AD2APgA+wD9AP8BAgEFAQgBDAERARYBGwEhASgBLgE1AT0BRAFMAVQBXAFkAW0BdQF+AYcBjwGYAaABqQGxAboBwgHLAdQB3AHiAegB7QHxAfMB9gH5Af0CAgIKAhMCHwIrAjkCRwJVAmMCcQKAAo8CnwKwAsEC0gLhAvAC/AMGAw4DFgMeAycDMwNCA1QDaAN9A5ADoQOtA7UDuAO2A7ADqQOiA5oDlAOQA40DjQOOA5EDmAOiA7ADwwPZA/MEDgQpBEEEVARhBNYE2wTZBNQEzQTHBMQExATHBM0E1ATdBOUE7gT4BQIFEAUgBTMFSAVfBXcFjwWlBbgFyQXXBeIF6wXwBfIF8AXrBeIF1QXIBbsFsgWvBbMFwAXWBfIGEgYzBlEGagZ7BoYGiwaLBosGjAaRBpsGqga9BtQG7AcFBxwHMQdEB1MHXgdkB2QHXAdMBzIHDwblBrYGhgZZBjMGFgYEBf0GAAYLBhsGLAY9BkwGWAZhBmgGbwZ3BoEGjQacBqwGvQbOBt0G6wb3BwMHDwccBysHPQdRB2cHfweXB68HxQfbB/AIBQgaCDAISQhjCH4ImQixCMUI0gjWCNIIxgi2CKMIkwiICIYIjQieCLUI0AjqCP8JDAkMCQII7AjOCKoIhQhfCDsIGgf7B94HwgepB5MHggd4B3oHhweiB8gH9ggpCFsIiQivCMwI4QjxCQEJFwk1CWEJmQncCicKdAq8CvoLKwtLC10LYgtdC1MLRws7CzELJwscCw0K+QrfCr8Kmwp1ClIKNQohChcKGQomCjwKWgp+CqcK0wsCCzQLaQufC9UMBwwzDFUMaQxuDGIMRgwcC+cLqwtvCzYLBgrfCsUKtgqwCrAKswq1CrMKqgqaCoQKagpOCjcKJQoeCiIKMApHCmEKewqQCpsKmwqOCnkKXwpGCjUKMAo8CloKhgq9CvYLLAtVC20LbgtYCy0K8QqpClwKDwnJCYsJVwktCQsI7AjQCLIIkAhpCD0IDQfbB6kHeAdLByMHAAbiBskGswagBo8GgAZzBmgGXwZYBlMGTwZNBksGSQZHBkUGRAZGBkkGTwZYBmMGbQZ2BnoGegZzBmcGVgZDBjEGIgYYBhQGFgYcBiUGLQYyBjMGLQYiBhMGAAXtBdoFyAW4BaoFnQWQBYEFcAVeBUkFMwUcBQUE7gTZBMYEtASkBJUEhwR4BGgEVgRBBCkEDgPxA9MDtwOfA40DggN/A4IDiQORA5cDlwOQA38DZwNJAykDCALrAtECvAKpApUCfgJgAjkCCAHQAZEBUAEOANEAmABkADQAB//a/6v/ef9C/wj+zP6Q/lT+HP3p/bn9jv1n/UP9IPz+/Nz8ufyV/G/8R/wc+/D7w/uV+2b7OfsN+uP6u/qV+nD6Tfoq+gf55fnF+aX5iPls+VL5Ofkg+Qj48PjZ+MP4sfij+Jz4mvie+KX4rPiu+Kn4mfh8+FP4H/fl96j3cPc+9xf2+/bp9t721fbM9r72qfaO9m32SfYn9gj18PXf9dX1zvXH9b71r/WZ9Xz1WvU29RL08fTW9MD0r/Sh9JT0hfRz9F70R/Qu9Bf0A/Py8+Tz1/PL87vzpvOM827zTfMt8xDy+PLm8tjyzPK+8qzykvJw8kfyG/Hx8c/xt/Gt8bDxvPHN8d3x5vHl8dnxxPGp8Y3xdfFl8V3xWvFZ8VLxQPEc8OTwmPA979jvc+8X7svulu557nTuhe6m7tDu++8j70DvUu9X70/vPu8m7wzu9O7h7tXu0O7S7tfu3u7g7tzuzu627pPuaO437gLtzu2a7WjtN+0H7Nfspux27EnsIOv/6+jr3OvZ697r5evr6+nr3OvE66DrdOtE6xXq6+rJ6rHqoeqX6pDqiOp/6nLqY+pV6krqRepI6lPqZep86pXqrerC6tLq3url6urq7erv6vDq7+rr6uPq1erC6qrqj+pz6lrqROo06irqJuoo6izqMuo56j7qQupF6kbqRupF6kLqPOo06ijqGOoE6ezp0emy6ZPpc+lU6TbpHOkF6PPo5ejc6Njo2Ojb6ODo5ujt6PPo+Oj96QHpBukM6RPpHOkm6THpOulC6UbpR+lF6UHpPOk36TPpMekx6THpMekv6SjpHOkL6PXo2+jA6KfokOh/6HTob+hv6HHoc+hz6HDoaehd6E3oOugm6BPoAefx5+Tn2OfO58Pnt+er55znjed8523nXudS50nnQ+dA50DnQedD50bnSedL503nTudP51HnVOdZ51/naOdy537ni+eZ56bns+e+58jn0OfX59zn4Ofi5+Tn5ufp5+zn8Of15/voAugL6BToHegm6DDoOehD6E3oV+hg6Gnoceh46Hzofeh86Hjoc+hr6GPoW+hV6FHoTuhN6E7oUOhT6FboWuhf6GToa+h06H3oh+iS6Jvoo+io6Kroquio6KXoouih6KPoqeiy6L7ozOjc6Ozo++kJ6RXpIeks6TfpQ+lQ6V7pbul/6ZDpoOmv6bvpxenN6dLp1+nc6eLp6+n26gXqFuop6j7qUupl6nXqhOqQ6prqo+qs6rXqwOrN6tzq7Or+6xHrJOs360rrXOtu64Drkeui67Prw+vT6+Pr8+wC7BHsIOww7EDsUexh7HLshOyW7Kjsu+zP7OPs+e0Q7SjtQO1Y7XDthu2c7bDtxe3Z7e7uBO4b7jLuSe5g7nbuiu6c7q3uve7N7t7u8O8F7xrvMe9J72Dvd++M76Dvsu/D79Tv5O/08APwEvAh8C/wPfBK8FfwZfBz8ILwkvCi8LPww/DS8OHw8fEC8RbxLvFJ8Wnxi/Gt8c/x7PID8hPyGvIb8hfyEfIL8gjyCfIP8hjyJfIz8kHyTPJW8l7yZPJq8nHyefKD8o7ymfKj8qzys/K38rryvPK/8sPyy/LW8uTy9PMG8xfzKPM380TzTvNX813zY/No823zcvN383zzgvOI85DzmfOk87DzvvPN897z7/QB9BP0JvQ59Ez0YPRz9IX0lfSk9LD0uvTC9Mr00/Tf9PD1BfUf9T31XvV+9Zv1s/XG9dL12vXf9eL15vXs9fT1/fYE9gf2BvX+9fH14/XW9dH12PXv9hf2T/aT9t33Jvdo9573xPfa9+P35Pfh99/34vft9/74Ffgt+EX4Wfhp+HX4gPiL+Jv4svjQ+PX5IPlO+Xz5p/nN+e36CPof+jP6R/pb+nL6i/qn+sb65vsH+yr7Tfty+5f7vfvh/AX8JfxC/Fv8cPyA/I78mvym/LP8w/zW/O39Bv0h/T79W/15/Zf9tf3T/fL+Ef4x/lD+bv6K/qT+u/7P/uH+9P8I/yD/Pf9i/4//xP//AD8AgADBAP4BNQFlAY0BrwHKAeEB9gILAiICPAJZAnoCnwLHAvMDIgNTA4YDugPvBCMEVwSIBLYE4AUDBR8FMgU6BTYFJwUKBOIErwR0BDQD8QOvA3EDOAMGAtsCtgKXAnoCYAJIAjICHQIMAf8B+AH2AfkCAAIIAg4CEAINAgEB7gHSAbEBjAFlAT4BGQD3ANkAvwCoAJUAhQB4AG0AZgBiAGEAZABrAHUAgQCOAJwAqgC4AMQA0ADbAOQA7QD1AP0BBAEKAQ8BEwEXARoBHAEeASABIQEjASUBJwEpASsBLQEvATEBMwE3ATsBPwFFAUsBUQFWAVsBXwFiAWMBZAFkAWQBZAFlAWcBaQFrAW4BcAFyAXQBdAF1AXQBcwFxAW4BawFmAWEBWgFSAUgBPgE0ASkBHgETAQkA/wD1AOwA4gDZANEAyADBALsAtgCzALEAsACxALIAswC0ALUAtgC2ALcAuAC5ALsAvgDBAMUAygDOANIA1gDZANsA3QDeAOAA4gDkAOYA6QDsAPAA9AD5AP0BAgEHAQsBEAEVARoBHwEkASoBMQE4AUABSQFSAVwBZgFwAXoBgwGMAZYBngGnAbABtwG/AcUBywHQAdQB2QHeAeMB6gHyAfwCBwIUAiICMAJAAlACYQJ0AogCnQKzAsoC4AL0AwYDFQMhAysDMgM5A0EDSQNUA2EDcAN/A44DmwOlA60DsgO0A7QDtAOzA7MDsgOxA7EDsQOyA7QDuwPGA9cD7gQMBC4EUwR4BJkEtQTKBU4FVgVWBVAFSAVABToFOAU7BUAFSAVRBVoFYgVpBXEFeQWCBY0FmgWoBbcFxQXSBd0F5gXsBfEF9AX3BfcF9wX0Be8F5wXdBdIFxwW/BboFvAXFBdUF7AYIBicGRwZmBoEGmQasBrsGxQbMBtEG1QbaBt8G5wbyBwAHEgcmBzwHUAdiB2wHbQdkB04HLgcDBtQGogZzBksGLQYbBhQGGAYkBjYGSwZgBnUGiQacBq8GwwbYBu8HBwcfBzYHSwdbB2gHcQd2B3oHfQeCB4oHlQejB7MHxQfWB+cH9ggDCA4IGggmCDQIRAhVCGgIegiJCJMIlgiTCIgIeAhlCFMIRghACEMIUAhlCIAInQi3CMsI1gjXCM0IuwijCIcIawhQCDUIHAgDB+kHzQewB5UHfQdtB2cHbweEB6YH0ggDCDUIYQiGCKEItQjECNQI6QkKCTgJdAm8CgwKWwqlCuMLEAsqCzMLLAscCwcK8wriCtcK0QrOCswKxwq9Cq0Klgp7Cl8KRQovCiEKHAohCi4KRApgCoAKpQrLCvQLHQtIC3ALlwu4C9IL4gvmC94LyQupC4ALUgshCvIKyAqmCo0KfQp2CnQKdgp3CnYKcApkClMKPQonChMKBQn/CgMKDwojCjoKUAphCmoKaApbCkgKMQodChIKFQonCksKfAq2CvILJwtOC2ELXgtDCxQK1QqMCj8J9gmzCXkJSAkeCPoI1gixCIcIWAgkB+0HtAd9B0oHHQb3BtgGwAauBqAGlgaNBocGgQZ9BnoGeQZ4BngGdwZ1BnEGawZjBlsGVAZPBk4GUAZWBl8GZwZvBnIGbwZnBlgGRQYwBh0GDgYEBgIGBgYPBhkGJAYrBiwGJwYbBgsF9gXhBc0FugWqBZwFkAWEBXcFaAVXBUMFLgUXBQEE7ATYBMYEtgSmBJgEiQR4BGQETgQzBBUD9QPTA7IDkgN3A2EDUwNKA0YDRgNHA0UDPgMxAx4DBALlAsMCogKDAmcCTQI2Ah4CBAHlAb8BkwFgASgA7gC1AH4ASwAc//H/x/+f/3T/R/8W/uL+q/5z/jz+B/3U/ab9e/1U/TD9Dfzr/Mn8pvyC/Fv8NPwL++H7t/uN+2T7PPsV+u/6yvql+oD6W/o2+hH57fnL+av5jvlz+Vr5Q/kr+RT4/Pjl+M/4vPiu+KX4o/im+Kz4sfix+Kj4lPhy+EL4CPfH94X3SPcU9uz20fbB9rj2s/as9qD2jfZy9lH2LvYL9e311vXG9b31tvWw9ab1lfV99V71OvUU9PD00fS59Kj0nPST9Iv0f/Rw9Fv0QvQo9A7z9vPi89Lzw/O286bzk/N882HzQ/Mn8w3y+PLp8t3y0/LH8rbynfJ88lTyKfH+8dnxv/Gw8a3xtPG/8cvx0fHP8cPxr/GV8XvxZPFU8UrxR/FE8T3xKvEI8NPwjPA279fvd+8e7tXuoe6E7n7ujO6p7s/u9+8b7zbvRu9L70XvNu8i7wvu9e7j7tTuyu7E7sDuuu6y7qXuke517lLuKe377crtmO1l7TPtAuzT7KbseuxT7DHsFewB6/Tr7+vv6/Hr8evs697rx+um633rT+sh6vbq0uq26qLqluqO6ojqgOp16mbqVepD6jPqKOok6ijqNOpG6lzqc+qK6p7qruq56sDqw+rC6r3qtuqt6qHqlOqH6njqa+pe6lLqSOo+6jTqKuoe6hPqBun76fLp7Onr6e3p9On96gbqD+oV6hbqEuoJ6frp6OnS6brpoemH6W3pVOk66SLpC+j36Obo2ejP6MroyOjI6Mvoz+jT6Nno4ejq6PbpBOkU6STpNOlC6UvpUOlR6U3pRek96TXpLukp6SfpJekj6R7pFekH6PPo3OjD6Knokuh+6HDoZ+hj6GHoYehf6FvoU+hI6DnoKOgW6AXn9Ofl59bnyOe656vnmueI53bnZedU50bnO+c05y/nLect5y3nLucu5y3nLOcq5yrnKucs5zDnNec850XnTedX52Dnaedy53vng+eL55LnmOec557nnuec55nnleeS54/njueQ55bnnueq57jnyOfY5+jn+OgG6BPoHugn6C7oM+g26DboNOgx6CvoJege6BjoEugP6A3oDegO6BDoE+gW6BroHegi6CjoL+g46EPoT+hc6GjodOh86ILohOiD6IHofeh66Hjoeeh96IToj+ib6KrouOjH6Nbo5Ojy6QDpD+kf6THpQ+lW6WrpfOmN6Zvppumv6bXpuum/6cTpzenY6ebp9+oL6h/qNOpH6lfqZepv6nfqfeqC6onqkeqc6qnquurN6uLq9+sN6yLrNutI61rraut664nrl+um67brxuvW6+fr+ewL7B7sMOxC7FTsZux57IzsoOy17Mvs4uz77RPtK+1C7VjtbO1/7ZLtpe257c/t5+3/7hnuMu5J7l/uce6A7o3ume6l7rPuw+7X7u7vCO8k70DvXO9174zvoO+z78Pv0+/j7/PwA/AU8CXwN/BI8FjwafB48Ibwk/Cd8KbwrfCx8LXwuPC98MXw0fDk8PzxGvE88WDxgvGh8bvxz/Hb8ePx5vHn8ejx6vHv8ffyAvIN8hryJfIw8jryQ/JL8lTyXvJp8nXygfKL8pXynfKj8qjyrPKy8rjywfLL8tny5/L38wbzFfMi8y3zN/M+80TzSfNN81DzVPNX81rzX/Nk82zzdvOB85Dzn/Ox88Lz1PPm8/f0CPQY9Cn0OfRJ9Fn0aPR29IP0j/Sb9Kj0t/TK9OH0/fUd9UD1Y/WF9aH1uPXH9c/10PXN9cn1xPXB9b71vfW69bX1rfWh9ZT1iPWC9Yb1mfW+9fT2OvaL9uD3Mfd497D31Pfm9+f33PfL97n3q/el96f3sPe/99H34/f1+Af4Gfgu+Ef4Z/iO+Lz48Pko+WD5mPnM+fz6JvpM+m76jvqs+sr66PsG+yT7Q/ti+4H7oPu++9z7+fwT/Cr8PfxL/FT8Wvxc/F78Yfxm/G/8ffyQ/Kf8wvzg/P/9IP1C/WT9h/2r/c/98v4V/jb+VP5u/oX+mP6p/rf+x/7Y/u7/Cf8r/1P/gv+3/+8AKQBkAJ0A0wEEATEBWQF8AZsBtwHRAesCBgIlAkgCcAKfAtIDCwNGA4EDvAP0BCgEWASEBKsE0ATyBRAFKgU+BUgFRwU3BRgE6ASqBGAEDwO8A2sDIgLjAq8ChwJnAk8COgInAhQCAAHsAdoBywHBAbsBugG8Ab8BvwG7Aa8BmwF+AVsBMgEGANsAsgCMAGwAUAA5ACYAFwALAAH/+//4//j//QAFABAAHgAtAD0ATABaAGcAcgB7AIQAjACUAJwAowCrALIAuAC9AMIAxwDLAM8A1ADZAN4A4wDoAOwA8QD1APkA/QECAQgBDwEXASABKAEwATYBOgE8ATwBOwE5ATcBNgE3ATkBPAFBAUYBSgFMAU0BTAFKAUYBQQE8ATgBMwEvASsBJwEhARsBEwELAQEA+ADuAOUA3ADVAM4AyADCALwAtgCwAKsApwCjAKAAnwCfAKAAoQCjAKQApgCoAKoArACuALEAtQC5AL0AwgDGAMoAzQDQANEA0gDTANMA1ADVANcA2QDbAN4A4QDlAOgA6wDtAPAA8gD1APgA+wD/AQUBCwETARwBJgExAT0BSAFTAV4BaAFwAXkBgAGHAY0BlAGaAaEBqAGvAbYBvgHHAdEB3AHoAfUCAwISAiICMwJGAlkCbwKGAp8CuQLTAu4DBwMfAzQDRgNVA2IDbAN2A38DiAOSA50DqAOyA7wDxAPLA9AD1APYA9sD3gPhA+MD4wPiA98D2wPYA9cD2gPlA/gEFQQ7BGcEmQTKBPgFHgU7BaYFsQWyBasFoQWYBZEFjwWSBZkFowWtBbYFvQXCBcUFxwXJBcoFzQXQBdIF0wXSBc8FygXCBbsFswWtBakFpwWnBacFpgWkBZ8FlwWPBYUFfgV7BX4FiQWbBbYF1gX7BiEGRgZnBoEGkwacBp8GmwaUBowGhgaFBosGmAasBsQG3gb3BwoHFQcUBwgG8AbOBqcGfgZYBjgGIgYXBhcGIwY3BlIGcgaVBroG4AcIBy8HWAeAB6gHzgfxCA8IJwg4CEQISghLCEoISAhGCEUIRQhFCEQIQgg8CDQIKAgbCAwH/wf1B/AH7wf0B/4ICQgVCB4IJAgjCB4IFQgJB/8H+Af3B/0ICwgfCDcITwhkCHQIfAh9CHcIawhdCE8IQQg2CC0IJAgZCAsH+AfhB8gHrgeYB4kHhQeMB58HvAffCAQIKAhGCF4IcAh/CJAIpgjFCPAJJwlnCa0J8woyCmUKiAqaCpwKkQp/CmoKWQpOCksKUQpcCmoKdwqACoIKfQpzCmUKVQpICkAKPQpBCkoKWQprCn4KkQqjCrUKxQrVCuUK8wsBCw0LFQsYCxQLCgr6CuMKxwqpCooKbQpUCkAKMgoqCiUKJAojCiAKHAoUCgkJ/AnvCeUJ3wnfCeUJ8An/Cg4KGgohCiAKFwoHCfQJ4QnUCdMJ3wn8CigKXwqbCtYLCQssCzsLNQsaCuwKsQpuCikJ6AmsCXcJSQkeCPQIyQiYCGAIIwfiB54HXQcgBusGwAagBosGgAZ8Bn4GhAaNBpYGnwaoBq8GtQa5BroGtwaxBqcGmQaJBngGZwZZBk8GSQZHBkkGTAZQBlEGTgZHBj0GLwYhBhUGDAYHBggGDQYVBh4GJAYmBiEGFwYGBfEF2gXCBasFlwWGBXgFawVgBVMFRgU2BSQFEQT9BOkE1ATBBK4EnASKBHcEZAROBDcEHgQDA+YDxwOoA4oDbANRAzgDIwMQAwAC8QLjAtMCwAKqAo8CcQJQAiwCBwHjAb8BmwF4AVUBMQEKAOEAtQCHAFgAKf/7/87/pf99/1j/M/8N/ub+vf6S/mX+N/4I/dv9r/2G/V/9O/0Z/Pf81vy1/JP8b/xK/CT7/fvX+7H7jPtp+0f7J/sI+un6yfqo+ob6Yvo++hn59fnT+bX5mvmD+W/5XflM+Tv5KPkU+QD47fjc+M74xfi++Lj4sPik+I74bvhC+Ar3yveG90P3BvbU9q/2l/aL9of2hvaD9nv2a/ZS9jP2EPXt9c31svWe9Y71gvV19Wb1UPU19RX08vTP9LD0l/SF9Hr0dfRy9G30ZPRV9ED0JvQJ8+vz0fO686jzmvOO84LzdfNl81LzPfMo8xXzBPL38u3y4vLW8sTyq/KK8mPyN/IK8eLxwfGq8Z7xmfGb8Z3xnfGY8YzxevFl8U/xO/Er8SHxGfES8Qbw8fDP8J/wYfAX78fvd+8u7vLuxu6u7qfuse7G7uHu/+8Z7y7vOu8+7zrvLu8e7wnu8u7b7sPurO6V7n7uZu5N7jPuFe307dDtqO187U/tIOzw7MHslOxr7EbsKOwQ6//r9evx6/Lr9ev36/fr8Ovh68rrquuD61jrK+sA6tjqt+qe6orqe+pw6mXqWOpJ6jjqJOoP6fzp7eni6d7p4Onp6fbqB+oZ6irqOupG6k7qUepQ6kzqRuo/6jrqOOo66kDqSupW6mHqaupt6mnqXOpG6inqCOnm6cbprOma6Y/pjemP6ZXpm+mg6aLpoOmc6ZbpkemN6YzpjemO6Y/pjemI6X3pbulb6UTpLekW6QLo8ejk6Nro1OjR6NHo1Oja6OTo8ekA6RLpJOk16ULpS+lO6UvpRek76S/pI+kZ6RHpC+kF6P/o9+jt6N7ozei66KbolOiE6Hfobehn6GLoXehW6E7oQug06CToFOgE5/Xn6efe59Pnyee956/nn+eM53jnY+dP5z7nMOcm5yDnHOcZ5xjnFucT5w/nCucG5wPnAecD5wfnDucW5yDnKuc05zznROdK50/nU+dW51fnWOdX51TnUOdK50PnO+c15zHnL+cy5znnRedU52fne+eQ56TntufH59Tn3ufm5+rn7eft5+3n6ufn5+Pn4Ofc59rn2OfZ59rn3efh5+bn6+fw5/bn/OgC6AnoEugb6CfoM+g/6EvoVuhf6GXoaOho6GfoZOhh6F7oXuhg6GTobOh26IPokeig6K/ov+jQ6ODo8ekD6RbpKek96U/pYelx6X/pi+mU6Zvpoemn6a7ptunB6c/p3+nw6gPqFuon6jfqROpO6lfqXupl6mzqdeqA6o3qneqv6sPq1+rs6wDrE+sm6zbrRutW62Trc+uC65Lro+u068br2evs6//sEuwl7DfsSuxd7HDsheyb7LPsy+zk7P3tFe0r7T/tUu1j7XTthe2Y7a3txO3d7ffuEe4q7kDuU+5i7m7ueO6C7o7unO6t7sLu2+717xLvLu9I72HveO+N76Dvs+/F79fv6e/88A7wIfAy8EPwUvBg8GzwdvB/8IXwifCK8IrwifCJ8IvwkPCa8KvwwfDc8PzxHfE+8V3xePGO8Z/xq/G08brxv/HF8czx1PHd8efx8vH+8gryFvIj8jDyPfJL8lfyY/Ju8nfyfvKF8ovykfKY8qDyqfK08sHyzvLc8uny9vMB8wzzFfMe8yXzLPMx8zbzOvM980HzRPNK81DzWvNm83TzhfOX86nzu/PM89vz6vP49AX0E/Qi9DL0RPRW9Gr0fvST9Kn0wfTb9Pj1GPU59Vv1fPWZ9bL1xPXO9dL1z/XI9b/1tPWq9aH1mPWP9YX1evVv9Wf1Y/Vn9Xj1mPXJ9gn2V/as9wP3VPeY98v36/f29/D33vfE96n3kveC93z3gPeM95/3tvfR9+34DPgt+FH4e/iq+N35FvlS+Y/5y/oG+j76cfqf+sn67vsP+yz7Rvte+3T7ifue+7L7xfvY++n7+fwG/A/8FvwZ/Bn8GPwY/Bn8Hvwn/DX8R/xc/HX8j/yq/Mb84v0A/SD9Q/1o/Y/9tv3d/gL+I/4+/lX+Zv50/oH+jv6e/rL+y/7q/w7/Nv9i/4//vv/uAB4ATQB8AKsA1wECASoBTwFxAZEBsgHVAfwCKQJeApoC3AMiA2oDrwPwBCkEWwSFBKgExgThBPoFEgUlBTIFNgUrBREE5ASmBFkEAgOoA1AC/wK7AoYCXwJEAjICJQIYAgoB+AHiAcsBtAGfAY8BgwF8AXgBdAFtAWABTAExAQ0A5AC4AIsAXwA4ABX/9//f/8z/vP+v/6b/oP+d/5//pP+t/7r/yf/Z/+n/+AAGABIAHAAkACwAMwA7AEMASwBUAFwAYwBqAHAAdQB7AIAAhwCNAJUAnQClAKwAsgC3ALsAvwDDAMgAzgDVAN0A5gDuAPUA+gD+AP8A/gD9APsA+wD8AP4BAgEHAQwBEQEUARUBFAERAQwBCAEDAP8A/AD5APcA9QDyAO0A5wDfANYAzQDEALwAtQCvAKsAqACmAKQAogCfAJ0AmgCXAJQAkgCRAJEAkQCSAJQAlgCYAJsAngCiAKYAqgCvALMAuAC8AMAAwwDFAMYAxwDHAMcAxwDHAMgAyADJAMoAygDLAMwAzADNAM8A0QDUANcA3ADiAOkA8gD8AQcBEgEfASsBNwFBAUsBVAFbAWEBZQFqAW4BcgF3AX4BhQGPAZoBpwG2AcYB2AHsAgACFgItAkQCXQJ2ApECrQLJAuYDBAMhAzwDVgNuA4QDlwOnA7YDxAPRA90D6APzA/0EBQQLBBAEEgQUBBUEFwQZBBwEHwQhBCIEIAQbBBMECAP+A/YD9QP9BBAEMARbBJAEywUGBT0FbAWPBcIFzgXPBckFwAW3BbEFsAW0BbwFxwXSBdsF4gXlBeUF4wXgBd0F2gXXBdMFzQXFBbkFqgWYBYQFcQVgBVMFSQVFBUQFRAVEBUMFPgU2BSsFHgUTBQsFCgUSBSIFOwVbBX8FpAXHBeMF+AYEBggGBAX9BfQF7gXuBfQGAwYZBjUGUwZwBogGmQagBp0GkAZ7BmEGRwYuBhsGEAYPBhkGLQZLBnIGoAbUBwwHSAeFB8QIAQg8CHMIowjNCPAJCgkcCSgJLgkuCSwJJgkeCRMJBAjxCNkIugiXCG4IQwgWB+wHxwepB5QHiAeHB44HmwerB7wHygfWB9wH3wfeB90H3AfdB+IH6wf3CAUIEggdCCQIJwglCCEIGwgVCBMIFAgYCCAIKAguCC8IKwggCA8H+QfiB80HvQe0B7MHuwfJB9oH7ggACBEIIAgvCEAIVwh1CJwIzAkCCTsJcwmkCcsJ5QnyCfIJ6gneCdEJygnKCdMJ4wn6ChQKLQpCClIKXApgCl8KXQpaCloKXQpjCmsKdAp7CoAKgQp9CncKbgpkClsKUwpOCksKSwpLCksKSQpFCj0KMwomChcKCAn5CewJ4AnXCc8JxwnBCboJsgmrCaMJngmbCZ0JogmsCbkJxwnVCd4J4gndCdEJvgmmCY8JfAlzCXgJjAmvCeEKHQpbCpcKygrtCv4K+wrlCr8KjQpWCh0J5gm0CYYJXAkzCQgI2AihCGIIHAfRB4QHOQb0BrkGigZpBlUGTgZTBmAGcwaKBqIGugbOBuAG7Ab0BvUG8QbnBtcGwwasBpQGfAZnBlQGRQY7BjQGLwYsBikGJgYiBh0GGAYUBhIGEwYXBhwGIwYpBi0GLQYnBhwGCgX0BdsFwAWmBY4FeQVmBVYFSAU7BS8FIQUSBQIE8QTeBMoEtgShBIsEdARbBEIEJwQMA/AD1QO6A58DhgNsA1QDOwMhAwgC7QLSArcCmwJ/AmICRAIlAgQB4QG8AZQBagE9AQ8A3wCvAH4ATQAe//D/xP+a/3P/Tv8r/wv+6/7M/q3+jf5s/kn+Jf3//dr9tP2Q/W39Tf0u/RH89fza/L78ofyC/GL8QPwc+/j70/uu+4v7avtL+y/7Ffr7+uL6yPqs+o36bPpJ+iX6Afnf+cH5pvmR+X/5cflk+Vf5Svk6+Sn5FfkA+Ov41vjB+Kr4kfhz+E74IPfr96/3b/cu9vH2vPaT9nb2ZvZh9mL2ZfZm9mL2VPY+9iD1/PXX9bP1kvV19Vv1RPUu9RX0+vTb9Lr0mfR69GD0TPRA9Dr0OPQ39DT0K/Qc9Afz7PPO87DzlfN/827zY/Nb81XzT/NH8z3zMPMi8xTzB/L78vDy5fLY8sbyrvKO8mnyP/IT8ejxwfGi8YnxefFt8WbxX/FX8UzxP/Ew8R/xD/EA8PLw5PDS8LzwnvB38EbwDe/P74/vUu8c7vDu0O697rbuue7D7tHu4O7t7vju/u8B7v7u9+7q7tnuw+6o7oruaO5E7iDt/O3Z7bbtlO1y7U/tKe0A7NTspux47ErsIev96+Lr0OvI68rr0uve6+zr9+v96/zr8evc67/rmutw60PrFurq6sLqn+qA6mbqUOo86irqGOoH6fXp4+nQ6b7premf6ZTpjOmJ6Yvpkumc6anpt+nE6c7p1enZ6drp2unb6eDp6+n+6hnqO+pg6oXqpOq46r7qtOqa6nHqP+oI6dHpnul06VPpO+kq6R7pE+kJ6P7o8+jq6OXo6Oj06QnpJulJ6W3pj+mq6bvpwem96a7pmOl+6WPpSeky6R7pDukC6Pno8+jv6O7o8ej26P7pCekT6R3pJekp6SrpJukg6RfpDekD6Pvo9Oju6Ojo4uja6NDoxOi26KfomOiL6H/oduhv6GjoYeha6FDoROg26CjoGugN6ALn+efy5+vn5Ofa587nvOen55Dndudc50XnMech5xXnDecH5wPnAOb75vbm7+bp5uPm3ubc5t7m4ubp5vPm/ucI5xLnG+ch5yTnJeck5yDnG+cT5wvnAeb35u7m5ubg5t7m3+bl5vDm/+cR5yXnO+dQ52TndueF55Hnmueh56XnqOep56nnqeep56nnqeep56vnreex57bnvOfD58rn0ufb5+Pn7Of05/3oBugO6BfoIOgp6DLoOeg/6EToSOhJ6EroSuhK6EvoTehQ6FXoXOhm6HHofeiM6Jvoq+i76Mzo3ujw6QLpE+kl6TXpRelU6WHpbOl26X/ph+mQ6Zjpoems6bfpxOnR6eDp7un86grqFuoj6i/qOupG6lPqYOpu6n3qjeqd6q7qv+rQ6uHq8esC6xLrIusz60PrU+tk63XrhuuY66vrvevQ6+Lr9OwH7BjsKuw97FDsZOx67JHsqezB7Nrs8e0H7RvtLu0/7U/tYO1y7Ybtne227dDt7O4G7h/uNu5J7lnuZ+507oDuje6c7q3uwO7V7uvvA+8a7zHvR+9d73Lvh++b77Dvw+/W7+fv+PAG8BPwH/Ar8DXwQPBK8FTwXfBl8GzwcfB28HzwgvCL8Jfwp/C78NLw7PEI8STxPvFV8WnxefGF8Y7xlfGa8aDxpvGu8bfxwvHP8d3x7fH88gzyGvIo8jTyP/JI8k/yVvJd8mPya/J08n7yifKV8qHyrvK68sXy0fLc8ujy8/L/8wrzFPMd8yXzKvMu8zDzMvM18zrzQvNO817zcPOE85nzrvPB89Hz3/Ps8/n0BvQV9Cf0PPRV9HH0j/Sv9ND08fUR9TH1UPVt9Yj1ofW39cn11vXg9eT15vXl9eL13vXZ9dX10PXK9cT1vvW69bj1vfXJ9eH2BvY49nf2vvcL91f3nPfW+AH4G/gj+Bz4Cvfy99j3wvez9633sffA99f39PgX+D74Z/iS+L/47vke+VH5hvm8+fP6Kfpd+o76vPrl+wn7KPtB+1X7ZPtx+3v7g/uL+5P7nPul+637tfu7+8D7wvvE+8f7y/vS+9377PwA/Bj8MfxL/GT8e/yR/KX8ufzP/Oj9Bv0p/U/9eP2h/cj96/4I/iD+Mv5B/k7+Xv5v/ob+oP6+/t7/AP8h/0L/Yv+D/6b/y//0ACIAUgCFALcA6AEVAT4BZQGLAbQB4QIVAlICmALlAzUDhAPQBBMESwR5BJwEtwTLBNwE6wT2BP4E/gTzBNkEsAR3BC8D3AOFAy8C4AKdAmkCRQIuAiACGAISAggB+QHkAcoBrgGSAXgBYgFRAUMBNgEpARgBAgDmAMQAnQB0AEoAIv/9/93/wf+r/5j/if99/3P/bP9o/2j/bP9z/37/iv+Z/6f/tP/A/8r/0//a/+H/6f/w//kAAwAMABUAHQAjACkALQAxADYAOwBBAEkAUgBaAGMAagBwAHUAeAB6AH0AgACEAIoAkQCYAKAApgCsALAAsgCzALMAtAC1ALgAuwDAAMQAyQDNAM8A0ADQAM4AzQDLAMoAyQDIAMgAxwDEAMEAuwC1AK0ApACcAJUAkACMAIoAiQCKAIoAiwCLAIoAiQCIAIYAhACCAIEAgACAAIEAggCDAIYAiQCMAJEAlQCaAKAApACpAK0AsQC0ALYAuAC5ALoAuwC7ALsAugC5ALcAtgCzALIAsQCwALIAtAC4AL4AxgDOANcA4QDrAPUBAAEJARMBGwEjASsBMQE2ATsBPwFDAUgBTQFUAVwBZwF1AYUBmQGvAcgB5AIBAiACQAJhAoMCpQLIAuoDDQMvA08DbgOLA6UDvAPQA+ID8gQBBA4EGwQnBDMEPQRGBEwETwRPBE0ESQREBEAEPQQ9BD4EQQREBEUEQwQ8BDIEJAQVBAkEAwQHBBgENgRiBJkE1gUVBVAFggWpBaYFsQWxBaoFnwWUBY0FiwWOBZYFoAWrBbUFvAXBBcIFwgXBBcEFwQXBBcEFwAW7BbEFogWOBXcFXQVEBS0FGgUMBQME/AT4BPME7QTkBNcEyQS6BK4EpQSjBKgEtQTIBN8E+QUTBSkFOwVHBU8FUgVUBVcFXgVpBXsFkwWvBc8F8AYOBigGPAZIBk0GSgZDBjcGKgYfBhYGFAYYBiUGOwZbBoUGuAb1BzgHgQfNCBkIYginCOQJGQlFCWYJgAmRCZwJogmjCaAJmAmLCXcJXAk4CQ0I2QifCGEIIwfnB7IHhgdlB1EHSQdNB1sHcQeLB6YHwAfXB+kH9gf+CAMIBAgECAQIBAgECAQIBAgDCAEH/Qf6B/YH9Qf2B/sIBAgRCCAIMQg/CEoITwhOCEUINwglCBEH/QfsB98H1wfUB9UH2AfeB+YH7wf7CAwIIgg+CGEIiwi4COYJEgk5CVgJbAl4CXsJeQl0CXIJdAl8CYwJogm9CdoJ9goPCiQKMwo9CkQKSQpOClQKWwpiCmoKcApyCnAKaApaCkkKNAoeCgkJ9wnoCd0J1gnSCdEJ0AnQCc8JzAnJCcQJvQm2Ca4JpQmbCZAJhAl3CWoJXglUCU0JSglOCVYJZAl2CYgJmQmlCaoJpgmZCYMJZwlJCS4JGgkRCRgJLwlWCYkJxgoFCkAKcwqYCqwKrgqhCoUKYAo2CgkJ3gm2CZAJawlGCR0I7Qi2CHUILAfeB4wHOwbvBqwGdgZNBjQGKgYtBjwGUgZuBowGqgbEBtoG6gbzBvUG8QbnBtgGxgaxBpoGhAZuBloGSAY4BisGIAYWBg8GCgYHBgYGCAYMBhQGHQYnBjEGOQY+Bj8GOgYwBh8GCgXxBdYFuwWgBYcFcQVdBUwFPAUtBR8FEQUDBPME4wTSBL8EqwSUBHsEXwRBBCEEAAPfA74DnwOCA2gDTwM4AyIDCwLzAtkCvQKeAn4CXQI7AhkB9wHUAbEBjAFkATkBCwDYAKMAawAy//n/wf+N/13/Mv8M/uv+zv60/p3+hv5v/lb+PP4g/gP95P3E/aT9hP1m/Uj9K/0Q/Pb83PzC/Kn8jvxy/FX8NvwW+/T70fuv+437bPtN+zH7F/r/+uf6z/q1+pn6evpY+jT6D/nr+cn5q/mS+X35bPle+VL5Rfk3+SX5EPj3+Nv4vPiZ+HT4TPgg9/D3u/eE90r3EPbZ9qj2f/Zh9k32RPZD9kf2TPZN9kn2PfYp9g316/XG9aD1fPVZ9Tn1G/T99N/0v/Sf9H70X/RE9C70HfQT9A70C/QJ9ATz+/Ps89bzvfOh84XzbPNX80jzPvM48zXzMfMs8yXzG/MQ8wPy9/Lr8t/y1PLH8rfyo/KJ8mnyRPIb8fHxyPGi8YHxZvFP8T7xMfEn8R7xFvEO8QXw+/Dv8N/wyvCv8I7wZfA28ALvy++T717vLu8G7uXuze687rHuqe6l7qLun+6d7pvume6X7pTuj+6G7nruaO5Q7jPuEu3u7crtp+2H7WjtS+0u7RDs7uzI7J3sbuw+7BDr5uvG67Drpuuo67Trxuvc6+/r/uwD6//r8OvY67brj+tk6zjrC+rg6rjqkupv6k/qM+oa6gTp8uni6dXpyem96a/poOmQ6YDpcell6V7pXOlg6WrpeOmH6Zfpo+ms6bHptOm46cDpz+np6g7qPOpx6qXq1Or36wjrBers6sDqhepC6fvpuOl86UnpIOj+6OLoyOiv6JfogOhu6GToZeh06JHou+ju6SbpXemO6bTpzenY6dbpyum46aLpjOl46WfpWOlM6UHpNukr6SDpFukM6QXpAOj96Pzo/Oj96P3o/ej66Pjo9Ojx6O7o7Ojq6Ojo5Oje6NXoyui86KzonOiM6H7ocuhp6GLoXOhX6FHoS+hE6D3oNugv6CroJugi6B3oF+gN5//n7OfU57jnmed551rnPucn5xXnCOb/5vjm8+bu5ujm4ebY5s/mx+bB5r7mv+bD5svm1ebh5uzm9ub95wDm/+b65vLm5ubZ5svmv+az5qvmpuam5qrmsua95szm3ebv5wLnFOcl5zTnQudN51fnX+dm52zncOd053jne+d953/ngueE54jnjOeS55nnoeer57XnwOfL59bn4Ofp5/Hn+Of/6AXoCugP6BXoGugf6CPoKOgs6DDoNOg46D3oQehG6EzoUuha6GPobuh66Ifoleik6LToxOjV6OXo9ekF6RTpIukw6T3pSelV6WHpbOl36YHpi+mV6Z7pqOmx6brpxOnO6dnp5un06gLqEuoj6jTqRepW6mfqduqF6pPqoeqw6r7qzerd6u3q/usQ6yLrNetH61nra+t964/roeuz68Xr2Ovq6/zsDuwg7DLsRexY7G3sguyZ7K/sxuzc7PHtBe0Y7SrtPO1P7WPtee2R7avtxu3i7f3uF+4v7kXuWe5r7nvuiu6Z7qjut+7H7tju6u787w/vI+8370zvYu9374vvnu+w77/vzO/Y7+Lv6+/07/3wCPAV8CLwMfBB8E/wXfBq8HXwgPCK8JXwofCv8L/w0vDm8PvxD/Ej8TXxRPFQ8VrxYvFp8W/xdfF98YfxkvGf8a7xvvHN8d3x6/H38gLyC/IU8hzyJPIt8jfyQvJP8lzyavJ38oPyjvKY8qPyrvK58sfy1fLm8vbzBvMU8x/zJ/Ms8y7zL/Mx8zbzP/NN82Lze/OY87bz0/Pt9AP0FPQh9Cz0NvRC9FP0aPSD9KT0yvTy9Rv1Q/Vo9Yn1pfW99dD14PXu9fn2BPYO9hn2I/Yu9jn2RPZO9lf2X/Zk9mj2a/Zt9nL2evaI9p32u/bh9xD3Rvd/97f37fgb+ED4Wfho+Gv4aPhe+FP4SvhF+Eb4Tvhf+Hf4lfi5+OH5C/k2+WL5jfm3+eD6B/ou+lP6dvqY+rj61Pru+wP7FPsg+yj7Lfsw+zH7M/s1+zn7P/tG+0/7V/tg+2f7bvt2+3/7i/ub+6/7yPvk/AL8H/w7/FP8Z/x4/If8lfym/Lv81fz1/Rr9Qv1q/ZD9sv3O/eX9+P4J/hv+L/5H/mP+g/6l/sX+5P7+/xX/Kv8//1b/c/+Y/8X/+gA0AHEArADjARMBPQFiAYUBqgHVAgkCSAKQAt8DMwOEA9AEEQRGBG8EjASfBKwEtAS5BLoEtgSqBJQEcQRABAIDugNsAxwC0gKRAlwCNQIbAgsCAgH6AfEB5AHRAbkBnQF/AWIBRwEvARoBBwDzAN4AxQCpAIgAZQBAABz/+v/b/8D/qv+X/4f/ev9v/2X/Xf9X/1T/VP9Y/1//aP9y/33/h/+Q/5j/n/+l/6v/sv+6/8P/zf/X/+H/6f/w//T/9//5//v//gABAAcADgAWAB4AJgAtADMANwA6AD0APwBCAEUASwBRAFgAXwBlAGsAbwByAHQAdQB3AHgAewB+AIIAhgCKAI4AkgCVAJcAmACZAJoAmwCcAJwAmwCaAJgAlACQAIwAhwCDAH8AfAB6AHkAeAB4AHgAeAB4AHYAdQBzAHEAbwBuAGwAawBqAGkAagBrAG0AbwBzAHgAfQCDAIkAjwCVAJoAngCiAKQApwCqAKwArQCvAK8ArwCtAKsAqAClAKIAoACfAKAAowCnAK4AtQC9AMUAzADSANcA2wDfAOMA5gDqAO4A9AD6AQEBCQESARwBKAE1AUUBVwFsAYUBoQHAAeICBgIsAlQCfQKmAtAC+QMiA0kDcAOTA7QD0gPrBAEEEgQgBCsENAQ7BEMESwRSBFoEYARjBGQEYQRaBFAERQQ5BC8EKAQkBCUEKQQuBDIENAQyBCsEIAQUBAkEAwQGBBQEMARZBIwExQUBBTkFaQWOBXQFeQVzBWYFVgVGBTkFMgUxBTUFPgVKBVYFYQVqBXIFeQV/BYYFjQWUBZwFoQWjBaAFlwWJBXUFXQVDBSkFEAT7BOoE3ATRBMgEvwS0BKkEnASOBIEEdgRvBGsEbARyBHoEhQSSBJ4EqwS3BMME0QTgBPIFCAUiBT4FXQV9BZwFugXWBe0GAAYPBhsGIgYmBigGKAYnBiUGJQYoBjAGPwZXBnoGpwbfByEHaQe1CAEISgiMCMUI9AkZCTQJSAlWCV8JZQlpCWgJYwlYCUQJKAkCCNIInAhhCCUH6we3B4wHbAdZB1IHVwdlB3wHlwe2B9UH8wgOCCQINQhACEYIRwhECD0INAgpCB0IEwgKCAMH/wf9CAAIBggPCBsIKQg5CEkIVwhjCGsIbwhvCGoIYQhVCEgIOggtCCEIFwgPCAkIBQgDCAMIBggNCBkIKghBCF0IfgigCMMI4wj+CRQJIgkpCSwJLAksCS8JNglDCVYJbgmJCaQJvwnWCeoJ+AoDCgsKEgoYCh8KKAoxCjoKQQpGCkYKQQo4CikKFwoDCe4J2gnICbgJqwmgCZgJkgmNCYoJhwmFCYQJggl/CXsJdQltCWEJUwlDCTIJIwkWCQ0JCwkOCRgJJgk3CUcJVQlbCVoJTwk7CSAJAQjiCMgItgixCLsI1Qj8CS4JaAmjCdsKCwovCkYKTgpJCjgKHgn/Cd0JuQmWCXMJTgknCPsIyQiPCEwIAwe1B2UHFgbLBokGUwYqBg8GAwYEBg8GIgY7BlUGbgaEBpYGogapBqsGqQajBpsGkQaGBnoGbgZiBlQGRwY5BisGHQYRBgcF/wX7BfsF/wYHBhEGHQYpBjQGPAZABj8GOQYuBh0GCAXxBdgFvgWlBY0FdgVhBU0FOwUqBRoFCgT7BOwE3QTMBLsEpwSRBHcEWwQ7BBkD9gPSA64DjANtA08DNAMaAwIC6QLQArYCmgJ9Al8CQAIhAgIB4wHDAaIBfwFYAS4A/wDMAJYAXQAj/+r/s/9//1D/Jv8B/uH+xf6s/pX+f/5p/lP+Pf4k/gv98f3V/bj9mv17/Vr9Ov0Z/Pj82Py5/Jv8f/xj/Ef8K/wO++/7z/uu+4v7aPtG+yb7CPrs+tH6t/qd+oH6Y/pC+h/5+fnT+a75i/ls+VH5Ovko+Rf5B/j2+OL4y/iu+I34Z/g++BH34few9333SfcW9uP2s/aH9mH2QvYq9hr2EfYN9gz2DPYJ9gL19fXi9cr1rfWN9Wv1SvUp9Qr07PTO9LH0k/R29Fr0QPQp9Bf0CvQB8/vz9/Pz8+zz4fPS873zpfOL83HzWfNF8zTzKPMf8xnzEvMK8wHy9vLp8tvyzfLA8rTyqPKd8pHygvJv8ljyPPIb8ffx0fGr8YbxZPFH8S/xHPEP8QbxAfD+8Pvw9/Du8ODwyvCt8IfwW/Aq7/Xvwe+P72LvO+8b7v/u6O7U7sHure6Y7oLubO5Y7kXuNu4q7iDuF+4N7gLt8u3e7cftrO2R7XftXu1J7TbtJO0R7Pvs4Oy+7JXsZ+w47Arr4uvD67Drqeuu67zrz+vi6/Hr+Ov26+nr0+u065DraOs/6xfq8OrK6qbqhOpj6kTqKOoQ6f3p7+nl6d7p2enT6cvpvumu6ZvpiOl26WnpY+lm6XDpgemU6ajpuOnC6cfpx+nF6cbpzunh6gHqLepi6pvq0er86xbrGusI6uDqp+pi6hnp0emQ6VnpLOkI6Oroz+i26J3ohuhx6GPoX+ho6H3on+jM6P3pL+ld6YLpm+mp6a3pqOmf6ZTpi+mG6YPphOmF6YXpgul66W/pX+lM6TnpJukU6Qbo++jy6Ozo6Ojl6OTo4+jk6OXo5+jq6Ovo6ujm6N7o0ujC6K/omuiF6HHoX+hR6EfoQeg96DzoPOg96D7oP+hB6EPoROhF6EToQOg56CzoGugC5+XnxOeg53znWuc75yHnDeb95vHm6Obg5tnm0ebI5r7mtuav5qrmquau5rXmwObL5tfm4Obm5ufm4+bZ5svmu+aq5prmjuaG5oTmiOaS5qDmsebD5tXm5+b25wLnDOcT5xnnHucj5ynnMOc35z/nSOdP51bnXOdh52TnZ+dq523nced454DnieeV56Hnree558PnzefV59vn4Ofl5+nn7efx5/fn/OgD6AroEegY6B/oJegr6DDoNeg56D7oQ+hI6E/oWOhh6G3oeeiH6Jbopei16MXo1Ojj6PLpAOkN6RrpJ+k06UDpTOlY6WPpbel36X/ph+mP6Zfpn+mn6bLpvenL6drp6un86g3qH+ow6kHqUOpe6mzqeuqJ6pjqqeq66s3q4Orz6wfrGuss6z7rUOth63PrhuuY66zrwOvT6+br+ewK7BvsLOw87E3sX+xz7Ifsneyz7Mns4Oz27QvtH+0z7UftW+1w7Ybtnu227c/t6e4C7hruMu5I7l3ucO6C7pTupe627sbu1+7o7vrvDO8e7zHvRO9X72nveu+K75jvpO+v77nvwu/L79Xv4e/u7/3wDPAd8C3wPfBL8FjwY/Bt8HfwgfCL8JfwpfCz8MPw1PDk8PPxAfEO8RjxIfEp8THxOfFC8UzxWPFl8XPxgvGR8Z/xrfG58cXx0PHb8efx9fID8hTyJfI28kfyV/Jk8m/yefKB8onyk/Kg8rDyw/LY8vDzBvMb8yzzOPNB80XzSfNN81bzZfN785rzwPPr9Bf0QvRp9Ij0oPSv9Lj0vvTE9M302/Tw9Q71MvVb9Yb1sPXY9fr2FfYq9jn2Q/ZL9lH2WfZj9nD2gPaS9qf2u/bQ9uP29PcD9w73GPcf9yb3Lvc390T3VPdq94T3o/fG9+z4E/g6+F74f/ic+LT4xvjV+OD46fjx+Pv5CPkY+S35Rvlj+YT5p/nL+e76Dvos+kb6XPpw+n/6jfqZ+qT6rvq3+r76w/rH+sn6yfrK+sv6zvrT+tr65fry+wD7D/se+y37OvtI+1f7Z/t7+5H7qvvE+9/7+fwR/CT8NfxC/E/8XPxs/IL8nPy9/OH9B/0s/U/9bf2G/Zv9rv3B/df98v4T/jn+Yv6N/rX+2f72/w7/If8z/0j/ZP+I/7f/7wAuAHAAsADqARsBQgFgAXkBkAGsAdAB/wI7AoMC0QMjA3EDuAP1BCQERgRdBGsEcwR3BHgEdQRtBF0ERAQeA+0DsgNuAyYC4AKeAmQCNQIQAfQB4AHPAb8BrQGYAYEBZwFMATIBGQEDAO8A3ADKALYAoACGAGkASQApAAn/6//Q/7n/pf+V/4j/fP9x/2j/YP9Z/1T/Uv9T/1f/Xf9l/23/df98/4H/hv+K/47/kv+Z/6D/qf+z/73/xv/N/9L/1v/X/9j/2P/a/9z/4f/n/+7/9v/+AAYADAARABUAGQAcAB8AIwApAC4ANAA5AD8AQwBGAEgASQBKAEsATQBPAFEAVQBZAF4AYwBnAGsAbgBwAHIAcwBzAHMAcgBxAHEAcQBwAHAAcQBxAHEAcQBxAHAAbgBrAGgAZABgAF0AWQBWAFQAUgBRAFAATwBPAE8AUABSAFUAWQBeAGQAagBxAHgAfgCDAIgAiwCNAI8AkACSAJMAlQCXAJkAmgCaAJkAlwCVAJMAkQCRAJEAkwCWAJsAnwCjAKcAqQCpAKgApwClAKQApACmAKwAswC+AMsA2wDsAQABFQEtAUcBYwGCAaQByQHvAhgCQwJuApoCxgLyAx0DSANxA5kDvgPhA/8EGAQtBDsERQRKBEsESgRJBEkESgRMBFAEVARWBFYEUwRLBD8EMQQhBBMECAQBA/8EAQQHBA8EFgQbBBwEGgQWBBIEEQQWBCQEPQRgBIsEvQTvBR4FRgVjBUEFPQUwBRwFBgTvBN0E0QTMBM4E2ATmBPgFCgUdBS4FPgVMBVkFZAVvBXcFfgWCBYIFfQVzBWUFUwU/BSoFFQUBBPAE4QTUBMkEvwS0BKoEngSTBIcEfARxBGgEYgRdBFsEWwReBGUEbwR+BJAEpwTBBN4E/QUcBTsFVwVwBYYFmQWqBboFygXaBesF/AYOBh0GKgYzBjgGOgY7Bj0GQwZQBmcGiQa2Bu4HLAdvB7AH7QgiCEwIbQiDCJIInAijCKoIsQi5CMEIxgjGCMAIsQiaCHwIWAgxCAoH6AfLB7cHrQerB7AHvQfOB+IH+AgOCCQIOQhMCF0Iagh0CHkIeQh0CGkIWwhLCDoILAghCBwIHggnCDYISghhCHkIkAijCLIIvAjACL8IugizCKoIoAiXCJAIigiFCIEIfgh6CHcIcwhuCGsIaghsCHEIewiICJkIrAjACNEI3wjpCO0I7AjnCOEI2wjYCNkI4gjxCQYJIQk+CVsJdgmNCaAJrQm3Cb0JwwnJCdAJ2QnlCfIJ/woLChMKFwoWCg8KAgnwCdsJwwmqCZEJeQljCVAJQQk2CS4JKgkpCSkJLAktCS0JKwklCRsJDgj+CO4I3gjRCMgIxAjFCMoI0wjcCOMI5QjiCNcIxQitCJIIdQhcCEoIQQhFCFUIcwibCMsJAAk2CWkJlQm5CdIJ4AnjCd0Jzgm4CZwJewlVCSsI/AjICI8IUAgLB8MHeActBuMGnwZiBi8GCAXsBdwF2AXdBegF+AYJBhkGKAYyBjkGOwY8BjsGOQY4BjgGOQY8Bj4GQAZBBj8GOgYzBikGHgYTBggGAAX7BfoF/AYCBgoGEwYcBiQGKQYqBigGIgYXBgkF+AXlBdAFugWkBY0FdgVfBUkFMwUfBQsE+ATnBNUExASzBKEEjgR5BGEERgQpBAoD6QPHA6UDgwNiA0IDIwMGAukCzQKyApcCfQJjAkoCMgIaAgIB6QHQAbMBlAFxAUoBIADxAMAAjQBZACb/9P/E/5f/bP9E/x3++f7W/rT+lP51/lj+PP4h/gf97f3T/bb9l/11/VH9Kv0C/Nn8sfyL/Gj8R/wq/A778/vY+7z7nft8+1n7NPsO+un6xvqk+oX6aPpM+i/6Efnw+c35qPmB+Vr5NPkR+PH41fi9+Kf4kvh9+GX4Svgr+Aj34Pe194j3Wvcr9v720fan9n72WPY19hb1+vXi9c/1v/Wx9ab1m/WP9YL1cvVe9Uj1MPUV9Pn03fTC9Kb0jPRz9Fr0Q/Qt9Bn0CPP68+/z5/Pi897z2/PW887zwvOy853zhvNs81LzOvMk8xHzAvL18uvy4PLW8svyvvKv8qDykPKB8nPyZ/Jc8lHyRvI68ivyGfID8erxzPGs8YrxafFK8S7xF/EF8Pnw8fDt8Ovw5/Dh8NXwwvCn8IbwXvAz8Abv2u+x743vbu9T7zrvI+8J7u3uze6p7oLuWu4z7g7t7O3P7bbtoO2M7XftY+1N7TbtIO0M7Pvs7uzl7N7s2ezR7MXssuyZ7HjsUuwq7AXr5OvM67/ru+vA68vr1+vg6+Pr3uvP67brlutx60rrJOr/6t7qvuqh6oXqaepO6jTqHOoI6fjp7uno6eXp5Onh6dvp0OnA6azplumD6XXpb+lz6YDplOms6cLp1Ond6d7p2OnN6cPpv+nG6dzqAOow6mjqn+rP6vDq/Ory6tLqn+pf6hnp0+mU6V/pNukX6QHo8ejk6Nfoy+jA6LjotOi46MXo2uj16RPpMelL6V/pa+lv6W7paull6WTpael06YTpmOmt6b/pzOnR6c3pwumv6Zbpe+lf6UTpLOkW6QTo9ejo6N/o2OjT6NHo0ujT6NXo1ujV6NHoyOi76Kroleh+6GboUeg96C7oI+gd6BnoGegb6B/oJOgp6C/oNOg56D7oQOg+6DjoLegc6ATn5ufE55/neudV5zPnFeb85ufm1+bJ5r7mteas5qXmn+ab5prmnOai5qrmtebA5snmz+bR5s3mw+a05qHmjuZ85m7mZuZm5m7mfeaT5qvmxebd5vHnAOcJ5wznCucG5wDm++b55vvnAOcJ5xTnIect5zjnQudI503nUOdT51XnWedf52fnced854jnlOef56jnr+e157nnvefA58TnyefQ59fn4Ofp5/Pn/OgE6AvoEegW6BroHegg6CToKOgt6DToPOhG6FLoX+ht6HzojOic6KzovOjK6Nno5ujy6P7pCekT6R3pJukw6TnpQ+lM6VXpXulo6XHpe+mG6ZDpnOmp6bbpxOnT6eLp8eoB6hDqIOov6kDqUepj6nfqi+qg6rXqyure6vLrBOsW6yfrOOtJ61vrbuuC65brq+u/69Pr5ev27AXsE+wg7C7sPexO7GDsdeyL7KPsu+zT7OvtAO0V7SftOe1K7Vztbe2A7ZPtqO2+7dXt7e4F7h3uNu5O7mXufO6S7qjuvO7P7uLu8+8D7xLvIO8u7zzvSe9V72Lvb+9874nvlu+k77Lvwe/Q7+Dv8O//8A3wG/An8DLwPPBF8E3wVvBf8GnwdPCA8I7wnPCr8Lnwx/DU8ODw6/D18P/xCfEU8SDxLPE78UrxWvFr8XvxjPGc8azxvPHN8d7x8fIF8hryL/JC8lTyY/Jw8nnygPKH8o7yl/Kl8rfyzfLo8wTzIfM881LzZPNx83rzgfOK85fzrPPK8/L0I/Rb9Jb0z/UD9S/1T/Vk9XD1dPV09XT1ePWD9ZX1sPXR9ff2HfZD9mT2f/aT9qH2qvaw9rT2ufa/9sn21vbm9vj3C/cf9zP3RfdW92T3cfd794T3jPeT95n3oPeo97L3wPfT9+r4Bvgo+E74dvig+Mj47vkQ+S35RflY+Wf5dfmD+ZL5pfm7+dT58PoN+in6QvpX+mb6cPp1+nf6dfpz+nD6bvpt+m36b/px+nT6ePp8+oH6ifqT+qD6sPrC+tb66/sA+xT7KPs8+0/7Yvt1+4j7nPuw+8L70fvf++n78vv6/AP8D/wg/Df8U/x1/Jr8wPzk/QX9If04/Uz9YP11/ZD9sf3b/gv+QP52/qv+2/8E/yb/Q/9d/3n/mf/A/+8AJwBlAKMA3wEUAT4BXQFxAX8BigGYAa4B0QIAAj0CgwLPAxoDYQOeA9AD9gQRBCMELgQ1BDoEPAQ6BDMEJAQLA+YDtwN+Az8C/AK6AnsCQgIRAecBwgGiAYUBaQFNATEBFQD8AOUA0QDBALQAqgCfAJQAhQByAFwAQwAnAAr/7v/V/77/q/+b/47/g/96/3H/av9j/1//XP9c/17/Y/9p/2//dv97/3//gv+D/4X/hv+I/4z/kv+Z/6H/qf+x/7j/vf/A/8L/w//E/8X/yP/M/9H/2P/f/+b/7f/z//n//gACAAUACQANABEAFQAZAB0AIAAjACUAJwAoACgAKQArAC0AMAA0ADkAPgBCAEcASgBMAE4ATgBNAEwASwBKAEoASwBNAE8AUgBVAFcAWABYAFYAUwBPAEoARAA+ADkANgAzADEAMQAxADIAMwA0ADYAOAA8AEAARQBLAFEAWABfAGUAaQBsAG0AbQBrAGoAaABnAGgAaQBsAG8AcgB1AHcAeQB5AHkAeQB5AHkAeQB6AHsAfAB8AHsAegB3AHQAcQBwAHAAcwB6AIUAkwClALoA0gDsAQkBJwFIAWsBkAG3AeECDAI5AmYCkgK+AukDEgM7A2IDiQOuA9MD9QQVBDAERgRVBF4EXwRbBFIERwQ7BDIELQQsBDAENwRABEkETwRSBFAESgRABDQEKAQfBBkEGAQbBCEEKQQyBDkEPgRBBEQESAROBFsEbQSHBKcEygTuBQ4FKQU6BQEE+ATpBNUEvwSqBJoEjwSMBJIEoQS2BNAE7AUJBSUFPgVUBWUFcgV7BYEFhAWEBYEFfAV0BWsFYAVUBUcFOgUuBSEFFgULBQAE9QTqBN8E0gTGBLgEqgSdBI8EgwR4BHAEbARtBHQEgASUBK0EygTqBQsFKwVGBV0FbQV3BX4FggWHBY4FmgWsBcMF3wX9BhoGNAZHBlQGWgZcBlsGXQZkBnMGjQayBuAHFQdLB34HqwfOB+cH9Af5B/kH9gf1B/gIAAgNCB4IMAhACEwIUghSCEwIQgg2CCwIJAgiCCUILAg3CEQIUQhcCGQIawhvCHMIdwh8CIIIiQiPCJQIlgiTCIsIfwhwCGEIVQhPCFEIXAhyCJAItAjcCQQJJwlDCVcJYAlgCVcJSQk5CScJGAkMCQQJAAj/CQAJAQkCCQEI/wj7CPcI9AjyCPMI9Qj6CQAJBAkGCQQI/AjvCNwIxQitCJYIhAh5CHYIfgiPCKgIyAjqCQwJKglECVgJZQltCXIJdgl7CYMJjwmfCbMJyAncCe4J+gn+CfkJ7AnVCbgJlAltCUYJIAj9COEIygi7CLMIsQizCLkIvwjFCMkIyQjFCLwIsQijCJQIhgh7CHIIbQhsCGwIbAhrCGcIXghRCD0IJggNB/QH3QfNB8UHxgfSB+kICQgwCF0IjQi9COsJFQk5CVcJbQl6CYAJfAluCVcJNgkLCNYImQhTCAgHuAdmBxUGxwaABkAGCwXiBcQFsgWrBawFtAXABc4F2wXlBesF7AXpBeMF3AXUBc8FzQXPBdYF4AXtBfsGCAYTBhsGHgYeBhsGFQYNBgYGAAX9BfsF/QYABgQGCQYNBg8GEAYOBgkGAwX6Be4F4QXSBcEFrwWaBYUFbgVWBT4FJgUOBPcE4ATLBLYEogSOBHoEZAROBDYEHQQCA+YDyQOrA4wDbANMAywDCwLrAswCrQKQAnUCXAJFAjECHgIMAfoB5wHSAbsBoAGBAV8BOQESAOgAvgCUAGoAQAAW/+z/wP+S/2L/Mv8A/s7+nf5v/kT+HP34/dj9uf2c/X/9X/09/Rj88PzG/Jv8cfxJ/CP8Avvj+8f7rfuS+3f7Wfs4+xT67vrG+p76d/pS+i/6D/nw+dH5svmR+W/5Svkj+Pz41fiv+Iv4a/hM+DD4Fff59933vfeb93f3T/cn9v/22Pay9o72bfZO9jH2FfX69d/1xfWr9ZH1efVh9Uv1NvUh9Qz09/Th9Mr0sfSX9Hz0YfRG9Cz0E/P78+fz1fPG87vzs/Ov863zrfOu867zrPOo85/zkvOA82rzUvM48x7zBfLv8tzyzfLA8rXyrPKi8pfyi/J88mzyWvJI8jfyJ/Ia8g7yBPH78fLx6fHc8c3xuvGi8YfxavFM8S/xFPD98Ovw3vDU8M3wxvC+8LPwo/CN8HHwUvAv8Azv6u/L76/vl++A72nvUO807xHu6e677ofuUe4a7ePtsO2A7VTtLO0H7OXsxuyo7I7seexo7F3sV+xX7FrsXuxh7F/sWOxK7DbsHuwF6+3r2uvN68jryevP69br3Ovb69Prwuun64brYOs46xHq7erN6rDql+qA6mjqUeo56iHqCun36ejp3unZ6dfp1unU6c/pxOm06aHpjOl66W7paulw6X/plumv6cbp2Ong6d/p1enF6bbprOmt6b3p3OoK6kHqeuqv6tbq6+rq6tLqpepq6ibp4Omg6WnpP+kh6Q7pBekB6QLpBOkH6QvpEukb6SjpOOlJ6Vvpael06XnpeOlz6WzpZull6WvpeumR6bDp0+n36hjqMepB6kTqPOoq6g7p7enI6aHpe+lX6TbpGOj96Obo0ujD6LfosOis6Kzoreiv6LDoruio6J7okOh/6GvoVuhC6DHoIegV6A3oB+gD6ALoAugE6AjoDOgS6BjoH+gj6CXoIugb6Azn9+fb57vnludw50nnJecE5ufmz+a85qzmn+aW5o/miuaI5ojmi+aP5pbmneaj5qfmqOaj5prmjOZ65mbmVOZF5jzmO+ZE5lXmbeaL5qvmyebj5vXnAOcC5vzm8ubk5tbmy+bF5sTmyubW5ubm9+cJ5xjnJecv5zXnOOc75z3nQOdF50znVedf52rnded+54Xni+eP55LnleeY553no+er57XnwOfK59Xn3ufm5+zn8Of05/fn+ef96ALoCOgP6BnoI+gv6DzoSuhZ6Gjod+iG6Jbopei06MHozujZ6OPo7Ojz6PrpAOkH6Q7pFeke6SjpM+k/6UvpWOlk6XHpfemJ6ZTpoOms6bjpxenU6eTp9eoH6hvqMepH6l7qdeqM6qLquOrM6t7q8OsB6xHrIusz60brWett64Hrluup67vrzOvb6+jr8+v/7AvsGOwn7DjsS+xh7Hnskeyp7MDs1ezp7PvtC+0a7SntOO1H7Vjtau1+7ZTtq+3F7d/t++4X7jTuUO5s7obunu6z7sXu1O7g7uru8u747v/vBu8P7xnvJu8170bvWe9u74PvmO+u78Pv1u/p7/rwCvAY8CTwL/A58EHwSvBS8FrwZPBv8HvwifCX8Kfwt/DH8Nfw5vD18QPxEfEg8TDxQfFU8WjxfvGU8avxwvHY8e7yA/IW8iryPfJQ8mLydPKE8pLyn/Ko8rDytvK98sTyzvLd8vDzB/Mi80DzXvN685HzpPOy87vzwvPL89fz6vQH9C/0YfSb9Nn1GfVV9Yn1tPXS9eX17vXw9e717fXw9fj2B/Yc9jf2VfZ09pH2q/bA9tH23fbl9uv28Pb19vv3AvcL9xb3Ivcv9z33Tfdc92z3fPeL95n3pfeu97T3uPe697z3v/fG99P35vgB+CT4Tfh7+Kr42PkC+Sf5Rfld+W75e/mH+ZP5ofmz+cj54Pn6+hT6Kvo9+kn6UPpS+k/6SfpC+j36Ofo4+jr6P/pF+kz6VPpd+mb6cPp7+oj6mPqq+r761frt+wb7H/s4+1H7aPt9+5H7ofuu+7f7vfu/+777vfu8+7/7x/vV++v8CPwr/FL8evyh/MT84/z+/Rb9Lf1H/Wb9jf27/fD+K/5p/qb+4P8V/0P/bP+R/7X/2wAFADMAZgCcANEBAwEsAU0BYwFxAXgBfwGIAZkBtQHdAhECTgKRAtUDFQNNA3wDoQO8A9AD3gPoA/AD9gP4A/YD7QPbA78DmANnAy8C8gKyAnQCOQICAdABowF5AVEBKwEHAOQAxACoAJAAfwBzAGwAaABmAGQAXgBVAEcANQAfAAj/7//Z/8T/s/+l/5r/kf+K/4P/ff93/3L/bv9s/2z/bv9x/3b/fP+B/4T/h/+H/4f/hf+E/4P/hP+G/4r/j/+V/5v/of+m/6n/rP+u/7D/sf+0/7f/u//A/8X/y//Q/9X/2f/d/+D/4//m/+j/6//u//L/9f/4//v//f//AAEAAwAFAAcACQANABEAFQAZAB4AIQAkACYAJwAnACYAJQAjACMAIwAjACUAJwApACsALAArACoAJwAjAB8AGwAXABQAEwASABMAFQAXABkAGwAdACAAIgAlACkALQAyADcAPABAAEMARABDAEEAPQA4ADQAMQAvAC8AMQA0ADoAQABGAEwAUQBUAFYAVwBXAFcAVgBUAFMAUQBPAE0ASwBJAEkASgBOAFYAYQBwAIMAmQCzAM8A7gEOATABVQF7AaQBzwH8AisCWgKIArUC4AMIAy0DTwNwA48DrwPOA+4EDgQsBEcEXQRrBHEEbgRjBFIEPQQoBBYECgQGBAsEGAQsBEQEXQRzBIUEkQSVBJQEjwSHBIAEewR4BHkEfQSDBIkEjwSTBJYEmASbBJ8EpgSwBL4EzwTgBPAE/AUCBLcEsgSqBJ8ElASJBIIEgQSGBJMEqATEBOUFCgUvBVQFdQWSBakFugXFBcsFzQXLBccFwQW7BbQFrAWlBZ0FlQWMBYIFeAVtBWEFVQVIBToFLAUdBQ4E/gTtBN0EzgTABLcEsgSzBLsEygThBP0FHAU9BVsFdQWIBZMFlwWUBY4FhwWEBYcFkwWoBcYF6QYQBjUGVgZvBn8GhgaIBoYGhgaLBpgGsAbSBvsHKQdXB4AHoQe3B8EHwQe6B7AHpwejB6UHsAfDB9oH9QgOCCMIMwg9CEIIRAhFCEgIUAhbCGsIfwiSCKQIsQi5CLoItQitCKIImQiSCJAIkQiWCJsIoQikCKMInwiYCJAIiwiMCJUIqAjGCO4JHQlQCYMJsAnVCe8J/An9CfQJ5AnPCbkJpQmVCYoJgwmACX8Jfwl/CX0Jegl2CXEJbAlpCWcJZglkCWEJWwlQCT4JJAkECN0ItAiLCGYISQg2CDAIOAhLCGkIjQi0CNoI/AkWCSkJNAk5CTsJPQlACUkJWAltCYcJowm/CdcJ5wnuCegJ1gm4CY8JYAktCPkIygigCH8IaAhbCFYIWAhfCGgIcQh4CHwIegh1CGsIXwhRCEQIOAgvCCgIIwggCB0IGQgRCAcH9wfkB84HtwefB4sHfAdyB3EHdweFB5sHtwfYB/wIIghJCHAIlQi5CNkI9gkMCRsJIQkcCQwI7gjDCIsIRwf6B6cHUAb5BqYGWQYWBd4FtAWWBYQFfgWABYgFlQWhBawFswW1BbEFqQWeBZAFgwV5BXMFcwV5BYQFlAWoBbwFzwXfBewF9AX4BfkF9wX0BfIF8AXwBfEF9AX4BfsF/gX/Bf8F/AX3BfEF6QXfBdQFyAW7BawFmwWJBXQFXgVHBS8FFgT+BOYEzwS4BKEEigR0BFwERAQrBBED9wPcA8ADpAOHA2oDSwMsAwwC6wLKAqoCiwJuAlQCPAIoAhcCBwH5AeoB2gHIAbIBmQF9AV4BPAEaAPcA1QCzAJEAbgBKACT/+v/L/5j/Yf8n/uv+sP52/kD+Dv3h/bn9lf10/VT9NP0T/PD8y/yk/H38Vvww/Az76vvL+677kvt2+1n7OvsY+vT6zfqm+n76Vvow+gv56PnG+aX5hPlh+T35GPjy+Mv4pPh9+Ff4MvgP9+z3yfel94D3Wvcy9wr24va89pj2ePZc9kP2LfYa9gj19vXi9c31tfWb9YD1ZPVI9Sz1EfT39N70xvSt9JP0d/Rb9D30HvP+8+HzxfOs85jziPN983jzdvN4833zgvOG84jzhvOA83bzZvNS8zvzIfMH8u7y2PLE8rTyp/Kc8pTyi/KC8nfyafJZ8kXyMPIb8gbx8/Hj8dfxz/HK8cbxw/G+8bbxqvGY8YHxZvFH8SjxCvDu8Nbww/C18KrwoPCX8IzwffBr8FTwOfAd7//v4+/I77Dvmu+F727vVe827xHu5e6x7nfuOe337bXtde037P7syOyY7G3sR+wn7A3r++vv6+rr7Ovz6/3sB+wQ7BXsFewQ7Abr+evr697r1evR69Lr1uvc6+Dr4Ova68zrteuX63TrTesn6wLq4erE6qrqkup66mPqSuow6hfqAOnr6dzp0unN6czpy+nK6cbpvOmu6Z3piul66W/pbelz6YLpl+mv6cXp1unf6d7p1enI6brpsum06cTp5OoT6kvqiOrB6u/rDesU6wbq4uqt6m3qKOnk6afpdelQ6TfpKukm6SrpM+lB6VHpY+l46Y3poem06cTpzunT6dLpzOnE6bvpt+m56cXp2+n66iHqTep46p7qu+rM6s7qw+qq6ofqW+or6fnpyOmY6WzpQ+kf6P7o4+jL6Ljoquih6Jzomuib6Jzoneib6Jfoj+iD6HXoZuhV6EToNegn6BvoEegI6AHn++f35/Tn9Of25/nn/+gF6AroDegM6Abn+ufn587nsOeO52rnRecj5wTm6ObQ5rzmrOaf5pTmiuaD5nzmeOZ05nLmcOZu5mvmZuZe5lTmR+Y45irmHuYW5hTmGuYn5jzmV+Z15pTmsObH5tbm3ebb5tLmxea15qfmnOaX5pnmouax5sPm2Obs5v7nDOcX5x3nIeci5yPnJucq5y/nOOdB50vnVede52Xnaudu53Hnded5537nheeO55fnoues57XnvefD58jnzOfQ59Pn2Ofe5+Xn7+f56AXoEege6CvoN+hD6FDoXOhp6HfoheiT6KHorui66MXozujW6N3o4+jo6O7o9ej+6QjpE+kf6SzpOelG6VLpXulp6XPpfemJ6ZXpo+my6cTp2Onu6gXqHeo16k3qZOp66o/qouq16sbq1+rn6vjrCesc6y/rQutW62rrfeuP65/rruu868jr0+vf6+rr9+wF7BbsJ+w77E/sZOx47I3soOyy7MTs1ezl7PbtCO0a7S7tQ+1a7XLti+2m7cLt3+397hvuOO5U7m7uhe6Y7qjutO687sHuxO7F7sfuyu7Q7tju4+7z7wXvGu8y70vvZe+A75vvte/P7+fv/vAT8CXwNfBC8E3wV/Bf8Gfwb/B68IbwlfCn8Lvw0fDp8QHxGfEw8UfxXPFy8YnxoPG58dTx8fIO8izySfJk8nzykvKk8rPywPLK8tTy3PLk8uzy9PL88wTzDfMV8yDzLPM7803zYvN685Lzq/PB89Xz4/Pt8/Pz9vP58/70CPQa9DX0WvSI9Lz09PUs9WH1kPW29dL15fXx9ff1+vX+9gT2DvYc9i/2RfZe9nj2kfao9r32z/bd9ur28/b89wP3CfcP9xb3Hvcn9zL3QPdQ92L3dveK9533rve698L3xffE98D3vPe597v3xPfW9/H4FPg++Gv4mvjH+PD5Evkt+UL5Ufld+Wj5dPmC+ZP5qPm++dT56Pn5+gb6DvoS+hL6EPoP+g76EPoV+h36J/oy+j76SvpU+l76Z/pw+nr6hfqT+qT6ufrQ+ur7Bfsi+z77Wfty+4f7mPuj+6n7qvum+577lvuQ+437kPub+6/7y/vv/Bf8Qvxt/Jb8vPze/P79HP07/V79hv2z/ef+IP5b/pf+0f8I/zv/av+V/7//6QAUAEEAcACfAMsA8wEVAS8BQQFNAVUBXAFnAXkBkwG3AeQCGQJRAooCwQLxAxoDOwNVA2kDeQOFA44DlAOVA5EDhgNxA1IDKgL5AsIChwJMAhIB3AGrAX4BVAEuAQkA5ADBAJ4AfQBfAEcANQApACIAIQAiACUAJQAjABwAEgAD//P/4f/Q/8L/tv+u/6j/o/+g/5z/l/+R/4v/hP9+/3r/d/93/3r/fv+D/4j/jP+O/47/jf+K/4b/g/+A/37/fv+A/4L/hv+J/43/j/+R/5P/lP+W/5f/mf+c/5//o/+m/6r/rf+v/7H/sv+0/7X/t/+5/7v/vv/C/8X/yf/M/87/0f/T/9X/1//Z/9z/4P/k/+j/7f/x//T/9//4//n/+f/5//j/+P/4//n/+f/6//v/+//7//v/+v/4//f/9f/1//T/9f/3//n/+//9//8AAQADAAQABQAGAAgACQAMAA4ADwAQAA8ADgAKAAYAAf/9//n/9v/2//j//AACAAkAEQAZACEAJwAsAC8AMQAyADIAMQAwAC4ALQArACoAKwAtADEAOABEAFIAZgB9AJcAtADUAPYBGQE9AWIBigGzAd8CDAI8AmwCmgLHAvEDFQM1A1ADZwN8A5ADpQO9A9gD9gQVBDIETARfBGkEaAReBEoEMQQWA/4D7APlA+kD+wQXBDwEZQSPBLUE1QTrBPkE/gT8BPYE7wToBOIE3wTeBN8E3wTeBNsE1gTQBMgEwAS6BLYEtAS0BLYEuAS5BJoEnQSfBKIEpASmBKsEsgS/BNAE6AUFBSgFTgV2BZ4FxQXoBgYGHwYyBj8GRwZLBksGSQZEBj0GNAYqBh4GEQYDBfQF5QXWBcgFugWuBaMFmAWNBYMFeAVsBV8FUwVHBT4FOQU6BUAFTgVhBXkFkwWtBcQF1QXfBeIF3gXWBcsFwwXABcUF1AXsBgwGMAZVBncGkgalBq4GrgapBqMGnwahBq4GxAblBw0HOAdiB4YHogezB7sHuwe3B7IHsge5B8gH3wf8CBwIOwhUCGQIawhoCF4ITwhBCDYIMwg4CEUIWQhwCIgInQirCLIIsQiqCJ8IkgiICIEIgAiDCIoIkwidCKUIqgiuCLAItAi8CMoI4QkBCSkJWAmKCbwJ6QoPCisKOwpACjoKLgodCgsJ+gnsCeIJ3AnaCdgJ1wnWCdIJzQnHCcAJuQmzCa4JqgmkCZwJjwl7CWAJPQkTCOMIsQiBCFYINQghCBsIJAg7CFsIggisCNMI9AkOCR4JJgknCSUJIwkkCSsJOAlNCWgJhQmhCbkJyQnNCcUJrwmOCWIJMAj8CMkImwh1CFkIRgg9CDwIQAhHCE4IVAhWCFQITghECDcIKggdCBEICAgBB/0H+gf4B/QH8AfoB94H0AfAB7AHnweQB4QHewd3B3gHfQeGB5MHoge0B8gH3wf2CBAIKwhHCGMIfQiVCKcIsgi0CKwIlwh3CEoIEgfRB4oHPgbyBqcGYQYiBesFvwWcBYQFdAVsBWkFagVrBWwFagVlBVwFUQVEBTcFLQUnBSYFKwU3BUgFXgV1BY0FowW1BcQFzQXSBdQF1AXTBdIF0gXUBdgF3QXiBeYF6QXqBekF5AXeBdUFywXABbMFpgWXBYgFdwVlBVEFPAUmBQ8E+AThBMsEtQSfBIoEcwRdBEUELAQSA/cD2wO+A6EDgwNlA0cDJwMIAucCxwKnAogCawJRAjkCJQIUAgYB+QHtAeAB0gHAAasBkwF3AVgBOAEWAPUA1QC1AJYAdwBWADMADf/i/7P/gP9J/xD+1v6d/mb+Mv4D/df9r/2L/Wj9R/0l/QP84Py8/Jf8cfxM/Cf8BPvh+8D7n/t++1z7OvsW+vH6y/qk+n36Vfou+gj54vm8+Zf5cflM+Sb5APja+LT4jvho+EP4Hff19833o/d290j3Gfbp9rv2j/Zn9kT2J/YQ9f718fXl9dv10PXD9bP1n/WI9W/1VPU49R31AvTp9ND0uPSg9Ib0a/RP9DD0EPPw89HztPOb84fzePNv82rzavNt83LzdvN583jzc/Np81rzR/Mx8xny//Ln8tDyvPKr8p3ykfKG8nvybvJg8k7yOPIh8gfx7fHU8b/xrvGj8Z7xnvGi8ajxrvGw8a7xpPGS8XnxWvE38RLw7/DO8LPwnvCP8ITwffB28G3wYfBR8DvwIvAG7+jvy++v75Xvfu9n71DvNu8X7vLuxe6R7lTuE+3N7YXtP+z87L3shuxV7C3sDev26+fr4evh6+jr8+wB7BDsHOwl7CnsJ+wg7BXsB+v66+3r5Ovf693r3uvg6+Dr3evU68Xrr+uT63PrUOsu6wzq7OrP6rPqmOp96mLqRuoq6hDp+unn6drp0+nR6dLp1OnU6dHpyem86avpmemJ6X3peOl76YfpmOms6cDp0Ona6dzp1+nP6cbpwunI6drp+uon6l/qnOrX6wrrL+tC60HrLOsF6tDqk+pU6hjp4um26ZXpgOl36XfpgemS6anpxOng6f3qF+ot6j3qRepG6j/qM+om6hrqE+oV6iLqO+pf6orquern6w7rKus36zXrIusA6tLqnOpj6ijp8Om96ZDpaelI6S3pFukC6PLo5OjZ6M/ox+jA6Lnosein6J3okOiC6HPoY+hT6EXoN+gr6CDoF+gO6Abn/uf35/Ln7efr5+vn7efx5/bn+uf85/vn9efp59nnw+ep54znb+dR5zXnG+cD5u3m2ubH5rXmo+aS5oDmcOZg5lLmRuY85jPmLOYm5iDmG+YW5hLmD+YQ5hTmHOYq5jvmUOZn5n3mkuai5q3mseav5qnmoOaV5o3mh+aH5ozml+am5rjmy+bd5u3m+ecB5wbnCecK5wrnDOcQ5xbnHecn5zHnO+dF503nU+dZ513nYudn52znc+d754PnjOeV55zno+ep567nsue357znw+fL59Tn3+fq5/boAugN6BfoIegq6DPoPOhG6FLoXuhs6HroieiX6KTosOi66MPoy+jS6Nno4ejp6PLo/OkH6RPpHukq6TXpQOlK6VXpYelu6X3pjemg6bTpy+ni6frqEeoo6j7qUupl6nfqh+qY6qjquOrJ6trq7Or/6xPrJus6603rX+tx64Hrkeuf663ru+vI69br5Ovy7AHsEOwf7C7sPuxO7F7sb+yA7JPspuy77NHs6O0B7RrtNO1P7Wrthe2h7bzt2O3z7g7uJ+5A7lbuae567ofuke6Y7p7uou6l7qnuru617r7uye7X7ufu+e8N7yLvOe9S72zviO+l78Lv3+/68BPwKfA88EzwWPBi8GzwdvCD8JPwqPDB8N/xAPEj8UbxafGK8anxxfHg8fryFfIw8kzya/KL8qryyfLk8vzzD/Md8ybzKvMs8yzzLPMu8zHzOPNA80rzVvNj83Hzf/ON85zzrPO8883z3vPt8/z0B/QP9BT0FvQW9Bf0GfQg9Cz0P/RZ9Hr0ofTL9PX1H/VF9Wb1gvWZ9av1uvXH9dT14vXy9gb2HPY09k32aPaC9pv2s/bI9tv27Pb59wX3DvcW9x73Jvcv9zv3SPdZ9233gveX96v3vPfI9873zffG97v3rPef95T3kfeW96X3v/fi+Az4O/hr+Jr4xPjo+Qb5Hvkw+T75SvlV+WD5bfl6+Yj5lvmj+a75uPnA+cf5zfnU+dz55vny+f/6Dfoc+ir6N/pC+kz6Vfpd+mX6b/p6+oj6mPqr+sH62fry+wz7Jfs8+1H7Yvtu+3b7ePt3+3P7bvtq+2j7bPt3+4r7pPvG++z8F/xD/G/8mfzB/Ob9Cv0u/VP9ev2k/dL+Av41/mj+m/7N/v3/K/9Z/4b/s//iABEAPwBtAJcAvQDcAPUBBwEUAR4BKAE0AUUBXAF7AaEBywH5AigCVQJ/AqQCxALgAvYDCQMYAyIDJgMjAxgDAgLiArcChAJJAgoBywGOAVYBJgD9ANsAvwCmAI8AeABgAEgALwAYAAP/8v/m/9//3f/f/+L/5f/m/+X/4P/Z/8//xv+8/7X/sP+u/67/r/+v/6//rf+o/6H/mf+Q/4j/g/+A/4D/g/+H/47/lP+Z/5v/nP+a/5X/kP+K/4P/fv96/3f/dv92/3b/dv93/3f/eP94/3n/ef97/33/f/+B/4L/hP+E/4T/hP+D/4H/gf+A/4H/gv+E/4f/iv+O/5H/k/+W/5j/mv+b/57/oP+k/6j/rP+x/7X/uf+9/8D/wv/E/8X/xv/H/8j/yv/L/83/zv/P/9D/0f/R/9D/0P/Q/8//0P/Q/9H/0f/S/9P/1P/V/9X/1v/X/9j/2P/Z/9n/2f/Y/9b/0//Q/8z/yf/H/8X/xv/I/8z/0f/X/9//5v/t//P/+P/9AAEABAAHAAoADQAQABMAFgAZABwAIQAoADEAPQBOAGIAewCXALcA2gD+ASMBSQFwAZcBwAHqAhUCQQJuApoCxALpAwoDJAM4A0YDTwNXA14DaAN3A40DpwPHA+gECAQkBDcEQAQ+BDIEHgQHA/AD3gPWA9sD7gQOBDkEawSgBNMFAAUjBTwFSgVOBUoFQQU3BSwFIgUaBRUFDwUKBQIE+ATsBN0EzgS+BLAEpAScBJgElgSXBN8E5wTwBPkFAwUNBRcFIwUxBUIFVwVxBY4FsAXVBfsGIgZJBm0GjgaqBsIG1QbiBuoG6wboBt4G0Aa9BqcGjgZ0BloGQgYuBh0GEgYLBgkGCgYNBhEGFQYWBhUGEgYNBggGBAYDBgUGDAYWBiQGNAZCBk8GVwZbBlkGUwZLBkQGQQZCBkwGXAZ0Bo8GqwbFBtkG5QbnBuEG1AbEBrUGrAasBrYGywbqBw4HNgdbB3wHlgepB7YHwAfLB9wH9QgXCEMIdQipCNkJAAkZCR8JEwj1CMoIlghiCDMIDwf5B/IH+ggOCCkIRghgCHUIggiHCIUIfgh2CHAIbAhuCHUIfwiNCJwIqgi5CMYI1AjjCPUJDAkoCUkJbQmTCbkJ2wn4Cg0KGgoeChwKFgoNCgQJ/Qn4CfgJ+gn+CgMKBgoICgYKAgn7CfIJ6AneCdUJygm/CbAJngmFCWUJPwkSCOEIsAiACFgIOQgoCCQILwhHCGkIkQi7COMJBQkfCTAJOQk7CTkJNQkzCTYJPQlKCVoJbAl9CYkJjwmKCXwJZAlDCRwI8QjHCJ8IfQhiCE8IQwg+CDwIPQg+CD0IOwg0CCsIIAgTCAcH+wfyB+sH5gfjB+IH4QfhB98H3QfZB9QHzwfJB8UHwQe/B74HvwfAB8IHxAfFB8YHxgfHB8kHzQfSB9sH5gf0CAQIFAgkCDIIPQhCCEIIOggrCBMH9AfOB6EHbgc2BvsGvQaABkMGCgXWBagFgQVhBUgFNQUnBR0FFQUOBQgFAQT7BPYE9AT2BP0FCQUaBTAFSQVlBX8FmAWtBb0FxwXNBc4FzQXKBcgFxgXGBcgFywXOBdEF0gXSBc4FyAW+BbMFpQWXBYcFdwVnBVUFQwUwBR0FCATyBNwExgSwBJoEhQRvBFsERgQwBBoEAwPqA9ADtQOYA3oDWwM7AxsC+wLaAroCmgJ9AmECSAIzAiACEQIFAfsB8gHoAd4B0QHBAawBlAF4AVkBOAEVAPIAzwCtAIsAaQBIACUAAf/b/7L/hv9Y/yj+9/7G/pX+Zv45/g395f2+/Zn9df1R/S39CPzj/Lz8lPxr/EH8GPvu+8T7m/tz+0v7I/r8+tb6r/qI+mH6OfoR+ef5vfmS+Wf5PfkT+Or4wvic+Hf4U/gv+Av35fe895D3YPct9vf2wPaJ9lX2JPX59db1ufWl9Zb1jPWG9YD1efVw9WP1UvU+9Sb1DfTz9Nn0wPSp9JP0f/Rq9Fb0QfQq9BLz+PPe88XzrfOZ84jze/Ny827zbfNt827zbvNs82bzXfNP8z3zJ/MQ8vfy3/LI8rTyofKQ8oHycfJh8k3yNvIc8f3x2/G48ZXxdvFc8UrxQfFC8UvxW/Fw8YbxmfGl8anxofGO8XHxTPEi8PbwzfCo8Ivwd/Bq8GPwX/Bc8FfwTvA+8CjwDO/t78vvqe+J723vU+887yXvDO7v7svuoO5r7i/t6+2j7VntEezN7JHsXuw27BrsCuwE7AjsFewn7DzsUuxm7HfsgeyF7IHsduxl7E/sN+wg7Arr+Ovq6+Hr2uvW69HryuvA67HrneuE62jrSesp6wjq6OrH6qjqiOpq6kvqLuoT6fzp6unc6dXp0+nV6dnp3Onc6djpz+m/6azpmOmE6XTpa+lq6XDpfOmM6Z3prOm36bzpu+m46bTps+m56cnp5eoN6j7qdequ6uLrDesr6znrNusi6wHq1uqk6nHqQOoW6fTp3OnP6c/p2ens6gfqJ+pJ6mrqh+qc6qfqpuqb6ofqbOpQ6jXqI+ob6iHqNupX6oPqs+rj6wzrKus46zTrH+r66snqkOpU6hrp5em56Zbpfels6WHpW+lX6VTpT+lH6TvpLOka6QTo6+jQ6LTomOh86GHoSeg06CPoFOgJ6AHn+uf15/Dn7Ofo5+Tn4ufg5+Dn4efk5+jn7Ofv5/Dn7efn59vnzOe556Tnjed1517nSOcz5x7nCeb05t3mxeas5pLmeOZg5krmOOYq5iHmHOYb5h3mIeYm5izmMuY45j7mReZN5lXmX+Zq5nXmf+aI5o7mkuaS5pHmjuaL5onmieaL5pHmm+am5rPmwebO5tnm4ebn5uvm7ubv5vHm9eb55wDnCOcS5xznJ+cw5znnQOdG50vnUOdV51rnYedo52/nd+d/54bnjeeT55nnnuej56nnsOe558LnzOfX5+Hn7Of26ADoCegR6BnoIugs6DboQuhP6Fzoauh46ITokOib6KTorei16LzoxOjM6NXo3+jq6PXpAekN6RnpJukz6ULpUeli6XTpiOmc6bLpyOne6fPqB+oa6izqPepM6lvqaup56ojqmOqp6rrqzOre6vDrA+sV6yjrOutM617rceuD65Trpuu268br1evj6/Dr/ewJ7BXsIewv7D7sT+xi7Hfsjuyn7MHs3Oz27RHtLO1G7WDtee2R7artwu3Z7fDuBu4b7i3uP+5O7lzuaO5z7n/uiu6W7qPuse7A7s/u3e7r7vjvBe8R7x3vKu8570zvYe9675bvtO/S7/DwDfAm8DvwTvBf8G/wf/CT8KvwyPDq8RHxO/Fo8ZPxvfHi8gPyH/I38k3yYfJ28ozypPK+8tny9PMN8yPzNPM/80bzSPNH80TzQ/ND80bzTfNX82TzcvOA847zmvOl86/zuPPB88vz1vPj8/Dz/fQL9Bb0IfQp9C/0NfQ69ED0SfRW9Gf0fPSV9LH0zvTt9Qz1KfVF9WD1efWR9an1wvXb9fb2EvYv9kz2aPaF9qD2ufbQ9uT29vcG9xT3H/cq9zT3PfdI91T3Yfdx94P3lfen97f3xPfL98v3xPe296L3i/dy91v3Sfc/90D3Tfdm94r3tvfp+B/4VPiG+LP42fj3+Q75H/kr+TP5OvlA+Ub5TflW+WH5bfl7+Yn5mfmp+bn5yvnZ+ej59/oE+hD6G/om+jD6O/pG+lH6Xfpq+nj6hvqU+qP6sfrA+s/63vru+v37C/sZ+yX7MPs5+0H7SPtQ+1j7Y/tx+4P7mvu2+9X7+Pwd/ET8a/yS/Lj83v0E/Sr9Uf15/aH9y/32/iD+S/53/qP+z/7+/y7/YP+T/8j/+wAtAFoAgQCiALwAzgDcAOUA7gD3AQQBFgEuAUsBbQGSAbkB4QIIAi0CTwJvAosCpAK3AsQCyQLDArICkwJoAjAB7wGnAVwBEwDPAJMAYQA7AB8ADP////X/7P/j/9j/y/++/7D/pf+c/5f/lv+Y/5z/of+m/6n/qv+p/6f/pP+h/5//nv+g/6T/qP+s/7D/sf+w/63/p/+h/5v/lv+T/5P/lf+Z/5//pv+r/6//sP+v/6v/pv+e/5b/jf+F/37/eP9z/2//bP9q/2f/Zf9k/2L/Yv9h/2H/Yf9i/2H/YP9e/1v/WP9T/0//Sv9H/0T/Q/9C/0P/Rf9I/0v/T/9R/1T/V/9Z/1z/Xv9h/2T/Z/9q/27/cv91/3j/e/9+/4H/g/+G/4r/jf+R/5T/mP+a/5z/nf+d/5z/m/+Z/5f/lP+S/5H/kP+Q/5H/kv+U/5f/mv+d/6H/o/+m/6f/qP+n/6b/pP+i/6D/n/+f/5//of+k/6j/rP+x/7X/uf+8/7//wv/G/8v/0f/Y/+H/6v/0//8ACQATAB0AKAAzAEEAUQBmAH4AnAC9AOIBCQEzAV0BhwGwAdkCAQIoAk8CdAKYAroC2QLzAwcDFQMdAx8DHQMaAxgDGgMiAzEDSANmA4kDrAPOA+oD/wQKBAsEBQP6A+8D5wPmA/EEBwQqBFgEjQTFBPwFLgVWBXMFhAWKBYcFfAVuBV8FUQVFBTsFNAUuBSgFIQUZBQ4FAgT2BOoE4ATZBNUE1QTYBV4FZQVuBXcFgQWLBZcFowWxBcEF0wXpBgIGHwY/BmIGhwatBtMG+QcbBzsHVQdqB3cHfAd5B20HWgc/Bx4G+wbWBrMGlAZ8BmsGZAZkBm0GewaNBqEGtAbEBs8G1wbaBtoG2QbXBtYG1wbaBt8G5QbqBu8G8QbwBu0G6AbkBuEG4gbpBvQHBAcXByoHOwdGB0oHRgc6BycHEAb6BugG3gbdBucG+gcUBzMHUgduB4YHmQepB7gHygflCAsIPwiACM0JHwlxCbkJ8QoRChYJ/gnMCYUJMAjXCIMIOwgFB+QH2QfiB/gIGAg6CFkIcgiCCIoIiwiHCIEIfQh9CIEIjAicCK8IxQjbCPIJBwkdCTEJRglcCXIJiAmeCbMJxAnSCdsJ3wnfCdwJ2AnVCdMJ1QnbCeQJ8An+CgsKFgoeCiIKIQobChIKBgn4CekJ2QnGCbIJmQl8CVoJNAkJCNsIrgiDCF8IRQg1CDMIPQhUCHQImgjDCOwJEQkvCUYJVglfCWIJYglhCWAJXwleCV4JXQlZCVIJRQkyCRoI/AjcCLsImgh8CGIITQg9CDIIKggkCB4IGQgRCAgH/AfwB+QH2AfPB8cHwgfAB78HvwfAB8AHwAfAB78Hvge+B8AHxAfLB9UH4AfsB/gIAggKCA0IDAgICAAH9QfqB94H1AfNB8gHxwfIB8wH0QfYB94H5AfqB+4H8QfyB/AH6QfdB8oHrweKB1sHIwbjBpwGUwYLBcUFhwVSBScFCATyBOcE4QThBOQE6ATtBPIE+AT/BQoFGAUrBUIFXQV5BZYFsQXJBdsF6AXvBfEF7gXpBeMF3QXYBdUF0gXQBc4FywXGBb4FswWmBZYFhAVyBV8FTAU6BSgFFgUDBPAE2wTFBK4ElgR+BGUETAQ0BB0EBwPxA9wDxgOwA5kDgANlA0gDKQMIAucCxQKkAoUCZwJMAjUCIQIRAgUB+wH0Ae4B6AHhAdgBzAG9AakBkgF3AVgBNwEUAPAAywCmAIIAXgA6ABb/8f/M/6b/f/9X/y3/Av7W/qr+fv5S/if9/f3U/az9hv1g/Tr9E/zs/MP8mPxr/Dz8DPvb+6r7eftJ+xv67/rE+pz6dPpN+iX5/PnR+aX5d/lH+Rf46Pi5+Iz4Yvg6+BX38PfM96b3fvdT9yP27va29nv2P/YE9c31m/Vx9U/1NfUk9Rr1FPUS9RD1DfUH9Pz07PTZ9MH0p/SM9HL0WPRB9Cz0GvQJ8/rz7PPd883zvfOt853zjfN/83PzafNi813zWvNY81fzVPNP80fzO/Ms8xnzBPLt8tXyvvKo8pPygPJt8lryRfIt8hHx7/HJ8Z7xcfFD8Rnw9fDa8MvwyvDV8OzxDfEy8VfxePGR8Z3xmvGK8WzxRPEW8ObwuPCR8HPwXfBR8EzwSvBJ8EXwO/Aq8BLv9O/Q76vvhu9j70XvKu8T7v7u5u7L7qnuf+5L7g3tyO1+7TPs6uyn7G/sQ+wl7BXsFOwf7DTsUexx7JHsruzG7Nbs3eza7M7sueye7H/sXuw97B7sBOvu69zrzuvD67nrruuh65Hrfutm60zrLusN6uzqyeqm6oPqYupB6iPqCOnx6d7p0unK6cjpyunO6dHp0+nR6cjpu+mo6ZHpeeli6VDpQ+k96T/pR+lU6WLpcOl76YHphOmE6YLpg+mI6ZXprOnL6fTqI+pW6ofqtOrX6vDq++r56unqz+qt6ofqYOo76h3qCOn96f/qDOok6kXqauqS6rbq0+rl6ujq3erC6pzqbeo66gvp5OnK6cHpyunj6grqOepp6pbquOrM6s7qv+qg6nXqQ+oP6d7ptOmU6YDpd+l46YDpjema6aXpqumo6Z7pjOlx6VDpKej/6NPopuh86FXoM+gW5/7n7Off59fn0ufP587nzufP59Dn0ufU59jn3Ofh5+bn6+fu5+/n7efn59znz+e+56vnl+eC527nWudH5zPnIOcL5vTm3ObB5qbmiuZw5ljmReY45jDmLuYx5jnmQ+ZN5ljmYeZo5m3mb+Zw5nDmcOZw5nHmc+Z25nnmfeaA5oLmhOaG5ofmieaL5o/mlOab5qLmquay5rnmwObG5svm0ObU5tnm3+bl5u3m9eb+5wfnEOcY5x/nJecq5y7nM+c35zznQudI51DnWOdg52jncOd3537nhOeK55Dnlued56Xnrue358LnzefY5+Pn7+f66AXoEOgc6CfoMug86EfoUeha6GPoa+hz6HrogOiI6I/ol+ih6Kvot+jE6NLo4ujy6QTpFukp6TzpUell6Xrpj+mj6bbpyena6evp+uoI6hbqJOox6j/qTupd6mzqfOqM6pzqrOq86szq3Ort6v7rEesk6znrTutk63nrjeug67HrwevO69rr5uvx6/3sC+wc7C7sROxb7HTsjuyp7MPs2+zy7QjtHO0w7UPtVu1q7X7tlO2q7cDt1u3r7f/uEu4j7jTuRO5W7mjufe6U7qzuxe7f7vfvDO8e7yzvNe8870DvRO9K71LvX+9x74nvpe/F7+bwCPAo8EbwYvB88JTwrvDJ8OjxC/Ey8V3xivG38eLyCfIr8kXyWvJo8nPyfPKE8o7ynPKs8r/y1PLq8v7zD/Md8yfzLfMw8zLzNPM38zzzQ/NN81jzZPNv83jzgPOF84nzjPOQ85bzn/Or87rzzfPj8/n0D/Qk9Df0R/RV9GH0bfR49IP0kfSg9LH0xfTb9PP1DfUo9UT1YvWB9aH1w/Xl9gf2KfZK9mn2hvag9rf2zPbe9u72/fcK9xb3Ivcu9zn3RfdR9133avd494X3k/eh96z3tPe497b3rvef94r3b/dR9zL3Fvb/9vH27/b59xD3NPdj95r31fgS+Ez4gfiu+NP47vkB+Q35FPkZ+R35I/ks+Tn5Svlf+XX5jfmk+br5zfnc+ej58fn4+f/6BfoN+hj6JPoz+kT6Vvpo+nj6hvqQ+pj6nvqh+qT6qPqt+rX6wfrQ+uL69vsM+yP7OftO+2L7dPuG+5j7qvu9+9L76fwD/B/8Pvxf/IL8p/zN/PP9G/1B/Wj9j/21/dv+Af4o/lL+fv6t/uD/Ff9N/4X/vf/xACEASQBqAIQAlQChAKkArwC3AMEAzwDiAPsBGAE5AV0BggGnAcwB7wIQAi8CSgJhAnACdgJyAmACQQITAdkBkwFGAPUApQBaABf/4P+0/5X/gP90/23/af9m/2L/XP9U/0z/Rf8//zz/Pf9B/0f/UP9a/2P/av9x/3X/d/95/3v/fv+B/4b/jP+T/5r/oP+l/6j/qv+r/6v/q/+r/6z/rv+y/7b/uv+9/8D/wf/A/7z/t/+w/6j/oP+X/47/hf9+/3f/cP9q/2T/X/9a/1b/Uv9P/0v/SP9F/0H/PP83/zD/Kf8i/xr/E/8N/wf/A/8B/wD/AP8C/wX/CP8M/w//Ev8V/xj/Gv8c/x7/IP8h/yL/JP8l/yf/KP8r/y3/Mf81/zv/QP9G/0v/UP9V/1j/Wv9a/1n/V/9U/1H/Tv9M/0r/Sv9L/03/Uf9X/13/ZP9r/3L/eP99/4H/hP+F/4b/hf+E/4T/g/+E/4X/hv+I/4v/jf+O/4//kP+R/5L/lf+Z/6D/qf+1/8P/0//k//UABgAVACQAMwBCAFIAZgB9AJoAvADjAQ4BPQFtAZ4BzgH7AiUCTAJuAo0CqALAAtUC5QLyAvsDAAMAAv4C+QLzAu8C7wL0Av8DEQMpA0cDZgOGA6QDvQPQA90D5QPqA+8D+AQGBB0EPQRnBJkE0QUKBUEFcgWbBbgFyQXOBckFvQWsBZkFhwV4BWwFZQVgBV8FXwVfBV4FXQVbBVkFVgVUBVQFVQVZBagFrAWyBbkFwQXMBdkF5wX3BgoGHgY1Bk4GagaIBqcGyQbtBxEHNQdZB3kHlgeuB74HxgfFB7oHpgeLB2kHQwcdBvkG2gbCBrQGrwa0BsAG1AbrBwQHGwcwB0EHTQdUB1gHWgdaB1sHXAdeB2IHZQdoB2oHaQdnB2QHYQdfB18HYwdqB3YHhAeSB58HqAesB6gHnQeMB3gHYgdPB0IHPAc/B0oHWwdwB4UHmAemB68Hswe2B70HywfmCBIIUQihCP4JYwnICiIKaQqVCqIKjwpcChAJswlOCOsIkwhNCB0IBQgCCBEIKwhLCGsIhgiZCKQIpwikCJ8ImgiZCJ4IqQi5CM8I6AkDCR0JNglNCWAJcQl/CYsJlQmdCaMJpwmoCacJpAmfCZoJlgmUCZUJmwmlCbMJxQnXCeoJ+woIChAKFAoRCgoJ/gnvCd0JyQmzCZoJgAljCUIJHwj5CNIIqwiHCGgIUAhBCD0IQwhTCGsIigiuCNII9gkXCTMJSQlaCWUJbAluCWwJZgldCVEJQQktCRUI+gjbCLsImwh8CF8IRQgwCB8IEQgHB/4H9QfsB+EH1QfHB7kHrAefB5YHjweMB4wHjweSB5YHmAeZB5cHlAeRB44HjQeQB5gHpQe3B80H5Af8CBIIIwgvCDMIMQgoCBsICwf6B+kH2gfPB8YHwAe9B7sHuge6B7wHvgfBB8cHzgfXB98H5gfoB+IH0we2B4wHVAcPBsAGawYVBcMFeAU6BQoE6QTXBNEE1gThBPAFAAUOBRsFJgUwBTwFSQVZBW0FhQWgBbsF1gXtBf8GDAYSBhIGDgYGBfwF8QXoBeAF2QXTBc0FxgW9BbAFoQWPBXsFZQVPBToFJgUTBQEE8QTgBM8EvQSoBJEEeARdBEAEJAQHA+0D1AO9A6cDkgN+A2gDUQM4AxwC/QLdArsCmAJ3AlgCPQIlAhICAwH4AfEB7AHnAeMB3QHWAcsBvAGqAZQBewFfAUEBIQEAAN4AvACZAHcAVQAyABD/7f/J/6T/f/9X/y7/Av7W/qj+ef5L/hz98P3E/Zv9c/1N/Sj9A/zd/LX8i/xe/C/7/PvI+5P7X/sr+vn6yvqd+nP6S/oj+fv50fmm+Xn5SvkZ+Of4tfiF+Fb4KvgA99f3sPeI9173MPb/9sr2j/ZS9hP11fWY9WL1MvUL9O302fTO9Mn0yvTN9ND00vTP9Mf0uvSn9JD0dfRZ9Dz0IPQG8+/z3PPL873zsfOm85vzkfOG83rzb/Nj81nzT/NH80HzPfM58zfzM/Mu8yfzHfMP8v7y6fLT8rvyo/KL8nXyX/JK8jTyHPIB8eLxvfGT8WTxM/EB8NPwq/CO8H3wfPCJ8KXwyvD28SPxTfFt8YHxhfF58V/xOfEL8NrwqvB/8F3wQ/Az8CrwJfAi8BzwEvAC7+rvze+s74jvZe9E7ybvDe727uDuye6u7ovuYO4s7e/tqu1h7Rjs0uyU7GDsO+wk7B3sJOw37FPsdOyX7Lns1uzr7Pjs+uzz7OLsyuys7IvsaOxF7CTsB+vt69brw+uy66Prk+uC62/rWetA6yTrBurm6sTqoep+6lzqPOod6gLp6+nY6crpwum96b3pv+nB6cLpwOm76bDpoOmN6XbpX+lK6TjpK+kl6STpKekx6TvpRulO6VXpWOlZ6VvpXelk6XDpg+mf6cHp6uoW6kTqb+qU6rHqxOrM6snqvOqn6o3qcOpU6j3qLeoo6i7qP+pb6n/qqOrR6vTrD+sb6xfrAOrZ6qPqY+oe6dzpo+l46V/pWuln6YTprena6gbqK+pD6k3qR+oz6hPp7enE6Z7pf+lp6V/pYOlr6XvpkOmk6bXpv+nA6bjppumL6WfpPukQ6OHosuiF6FvoNugX5/7n6ufc59LnzefK58vnzefQ59Xn2ufg5+bn7efz5/jn/Of95/vn9efs59/nzue756fnked852fnVOdB5y/nHecK5vbm4ObI5q/mluZ/5mnmWOZL5kTmQuZF5k3mVuZh5mvmc+Z45nrmeuZ35nPmbuZq5mjmZ+Zo5mvmb+Zz5nfme+Z95n/mgOaB5oLmhOaG5ormjuaU5pvmouap5rDmt+a+5sXmy+bS5tnm3+bm5u3m8+b55v7nA+cH5wvnD+cT5xjnHeck5yznNOc950fnUOdY52DnaOdu53TneueA54fnjueX56Dnq+e358Tn0ufg5+3n+ugG6BHoG+gj6CvoMug46D3oQuhI6E7oVOhc6GXob+h76Ijol+in6Lnozeji6PnpEOkn6T/pVuls6YHplOmm6bXpwunP6drp5enx6f3qCuoY6ijqOOpI6lnqaep56ofqlOqh6q7qvOrL6tzq7usD6xnrMetJ62DrdeuJ65rrqeu268Lrzuvb6+rr/OwR7CnsQ+xe7HrslOyt7MPs1uzm7PTtAO0N7RrtKu087VLtau2E7Z/tuu3V7e3uA+4Y7izuP+5U7mzuhu6k7sXu5+8K7yvvSe9i73Tvge+H74nvie+J74zvku+f77Lvy+/q8A3wMvBX8HvwnvC+8N3w+/Ea8TrxXPGB8afxzvH08hjyN/JQ8mPycPJ28nnyefJ58nvygPKJ8pXypfK38sry3PLt8vvzBvMP8xbzHPMh8yfzLfM08zvzQvNH80vzTvNQ81HzUvNV81rzZPNw84HzlvOu88jz4/P+9Bj0MfRH9Fz0b/SA9JH0ovSy9MP01fTo9Pz1EvUr9Ub1Y/WE9ab1yvXv9hT2N/ZX9nT2jPag9rH2vvbJ9tL23Pbm9vL2//cN9x33LPc690j3Vfdg92r3c/d894T3jPeR95T3k/eN94L3cfda90D3JPcJ9vP25Pbh9ur3APck91T3jffL+Av4SPh++Kz40Pjq+Pv5BfkK+Q/5Ffke+S35QPlY+XL5jvmn+b750Pnd+eT56Pnp+en56/nv+fn6BvoY+i36RPpZ+m36fPqG+ov6jPqK+ob6hPqF+or6lfqm+rz62Pr2+xb7NftT+237hPuX+6j7tvvD+9H74Pvx/Ab8H/w7/Fr8fPyg/Mb86/0Q/TT9WP17/Z39wf3m/g7+Ov5p/pz+0v8K/0L/ef+s/9kAAAAfADYARwBTAFwAZQBvAHwAjQCkAL4A3QD+AR8BQQFiAYEBngG6AdIB6AH7AgcCDQIKAfwB4gG7AYgBSgEDALYAaQAd/9n/nf9s/0b/K/8Y/w3/Bv8B/vz+9/7w/un+4f7c/tn+2f7d/uX+8P79/wv/Gf8l/zD/Of9A/0b/S/9R/1f/Xv9n/3H/e/+F/4//mP+g/6b/q/+v/7L/tf+3/7n/u/+8/73/vv+9/7z/uf+0/6//qP+h/5n/kP+I/3//dv9u/2b/Xv9X/1D/Sf9C/zr/M/8r/yP/Gv8Q/wf+/f7z/un+4P7Z/tL+zf7J/sb+xf7E/sX+xv7H/sn+yv7M/s7+z/7Q/tH+0f7S/tL+0v7S/tL+1P7W/tn+3v7j/ur+8f75/wH/CP8O/xP/F/8Z/xv/G/8a/xn/Gf8Y/xn/G/8e/yP/Kf8w/zn/Qv9L/1P/XP9i/2j/bP9u/3D/cP9v/27/bf9t/23/bf9u/3D/cv9z/3X/d/95/33/g/+L/5b/o/+z/8X/2f/tAAAAEwAkADQAQwBSAGQAeACSALEA1gECATMBaQGgAdcCDAI8AmcCjAKpAsAC0gLeAuYC6wLvAvEC8QLyAvEC8QLxAvMC9QL7AwQDDwMeAzADRANYA20DgAOTA6QDtgPIA90D9gQVBDsEZwSbBNMFDgVIBX8FrwXVBfEGAQYGBgAF8gXfBcoFtAWgBZEFhgV/BX4FfwWDBYkFjwWUBZkFnAWfBaEFowWlBYAFhwWPBZgFpQW0BcUF2QXuBgYGHgY4BlIGbQaJBqUGwgbgBv4HHQc8B1kHcweKB5sHpQeoB6IHlQeAB2cHSgcsBxEG+QboBt4G3AbhBuwG+wcNByAHMQdAB0wHVgdcB2IHZgdrB3EHeAeAB4gHjweUB5cHlweVB5EHjQeLB4sHjgeVB6AHrQe7B8cH0AfVB9MHzAfAB7IHpAeZB5IHkQeWB6EHrge7B8YHzAfLB8QHuAesB6MHowexB9EIBAhJCJ0I+glYCa8J9gonCjwKNQoSCdgJjQk7COkInwhjCDkIIggdCCYIOAhPCGUIdwiCCIcIhQh/CHgIcwhyCHgIgwiVCKwIxQjfCPcJDQkeCSwJNQk6CT0JPgk9CTsJOQk2CTIJLgkqCSYJJAkkCSgJLwk6CUkJXAlwCYUJmQmpCbYJvQm/CbwJtAmnCZcJhAlvCVkJQQkoCQ4I8gjWCLkInAiBCGkIVQhGCD8IPghECFEIYwh5CJEIqgjDCNoI7gj+CQsJFAkYCRgJFAkMCP8I7gjZCMAIpgiJCG0IUgg4CCEIDgf9B+8H4wfZB84Hwge1B6cHmQeLB34HdAdsB2kHaQdtB3IHdwd8B34Hfgd6B3QHbAdlB2IHYwdqB3kHjwerB8sH7AgMCCcIOwhGCEkIQwg3CCUIEgf/B+0H3wfVB88HzAfKB8kHyAfHB8YHxQfFB8cHzAfSB9oH4AfiB90HzQewB4UHSgcCBq8GVgX8BacFWwUdBO8E0gTFBMcE1AToBQAFGAUvBUIFUwVhBW8FfgWOBaEFtgXMBeIF9gYGBhAGEwYQBggF+gXqBdkFygW8BbEFqAWiBZsFlAWKBX4FbQVZBUIFKgUSBPoE5QTTBMMEtgSpBJ0EjgR+BGoEUwQ5BB4EAQPkA8kDsAOZA4UDcQNeA0sDNQMcAwEC4gLAAp4CewJaAjwCIgINAf4B8wHtAekB5gHjAd4B1QHIAbcBogGIAWsBTAEqAQkA6ADHAKcAiABrAE4AMgAW//r/3P+9/5z/eP9R/yf++v7L/pn+Zv4z/gH90f2k/Xr9Uv0u/Qz86/zK/Kf8gvxZ/C37/fvL+5j7Y/sv+v36zfqf+nT6S/oi+fr50fmn+Xv5Tfke+O/4v/iR+GT4OPgO9+X3u/eQ92L3L/b59r72f/Y99fv1u/V+9Uj1GfT09Nn0x/S/9L30wfTH9M700/TU9ND0xvS39KP0i/Rw9FP0N/Qd9ATz7vPc88zzvvOy86fzm/OQ84PzdfNn81jzSvM+8zLzKfMi8xvzFvMQ8wjy/vLw8t/yyvKy8pjyfPJh8kfyL/IY8gLx6/HT8bjxmfF08UvxHvDv8MLwmfB58GTwXPBj8HjwmPC/8OrxE/E18UvxU/FL8TTxD/Dg8KzwdvBE8Bfv9O/a78jvvu+377Pvre+l75jvh+9z71vvQu8q7xHu+u7j7svusO6Q7mvuPu4K7dDtke1Q7RDs1eyi7HrsXexO7ErsU+xk7Hvsleyw7Mjs2+zn7Ovs6Oze7M3stuyb7H7sX+xB7CPsB+vs69Pru+ul647reOth60jrL+sT6vfq2eq66pvqe+pc6j7qIuoI6fHp3unO6cPpu+m26bPps+my6bDpremn6Z3pkemC6XLpYulS6UXpO+k06THpMekz6TbpOuk96T/pQelD6UbpTOlV6WTpeemU6bXp2+oE6i7qV+p96p7qt+rJ6tTq1urT6svqweq36rHqr+q16sLq1+rz6xPrNOtS62nrdOtw61vrNer+6rvqbuof6dPpkOlc6TrpK+ku6ULpYemH6a3pz+no6fTp9Ono6dPptumY6XvpYulS6UnpSulR6V7pbel76YbpjOmL6YLpcela6T3pG+j36NLoruiL6GzoUOg46CToFOgI6ADn++f55/nn+uf96AHoBegJ6A3oEOgR6BHoD+gJ6AHn9efm59TnwOeq55Tnfedn51PnQOcu5x7nDeb95uvm2ObE5q/mmuaF5nPmY+ZW5k7mSuZL5k7mVOZa5mDmZeZp5mrmaeZm5mPmYOZe5l3mXuZh5mXmauZv5nPmduZ55nrmeeZ55njmeeZ65n3mgeaH5o7mlead5qTmq+ax5rfmu+bA5sTmyebO5tPm2Obd5uPm6Obu5vLm9+b85wHnBucM5xPnG+ck5y3nNuc/50jnUedY51/nZuds53LneOeA54jnkeec56fns+e/58vn1+fi5+zn9ef+6AXoDOgT6BvoIugq6DPoPehI6FToYOhu6H3ojuif6LPox+jd6PXpDOkk6TzpUuln6XnpiemX6aPprem36cDpy+nX6eTp9OoF6hjqK+o+6lDqYepv6nzqh+qR6pvqpuqz6sPq1erq6wHrGesy60rrYet164frluuk67HrvuvN697r8ewI7CHsO+xV7G/shuyb7KzsuuzG7NHs3Ozp7PrtDu0n7UTtZe2I7avtze3t7gnuI+467k/uZO577pTusu7U7vrvI+9M73Xvmu+679Lv5O/u7/Hv8e/v7+7v8O/38ATwGPAy8FHwc/CW8Lnw2/D78RjxM/FN8WfxgfGd8bnx1fHx8gzyJPI48kjyU/Ja8l7yX/Jf8mDyY/Jo8nDyfPKJ8pnyqfK58sjy1fLh8uvy8/L78wHzBvMM8xDzFPMZ8xzzIPMk8ynzL/M280DzTPNa82nze/OO86Lzt/PM8+Pz+fQQ9Cj0QPRZ9HL0i/Sk9Lz00/Tq9QD1F/Uv9Un1ZfWD9aT1xvXp9gv2KvZG9l32cPZ99ob2jfaT9pn2ofat9rz2zvbi9vf3DPce9y33OfdB90b3SvdN91H3V/dg92r3dPd+94T3h/eD93r3bfdc90v3Pfc29zf3Rfde94P3svfo+CL4WviN+Ln42/jy+P/5BPkF+QP5A/kG+Q/5Hvky+Un5Y/l7+ZD5ofms+bL5s/mx+bD5r/mz+bv5yfnb+fH6Cfog+jX6RvpR+lj6W/pa+ln6Wvpd+mb6dPqI+qH6v/rf+v/7H/s8+1X7a/t9+4z7mfum+7P7wvvU++n8Afwb/Dn8WPx4/Jj8uPzY/Pf9Ff00/VP9df2Z/cD96/4a/kz+gf62/uv/Hf9L/3P/lv+y/8n/2//r//oACgAdADQATgBsAIwArgDPAO4BCwEkAToBTQFcAWoBdQF+AYQBhgGCAXYBYAFAARYA4ACiAF4AFv/P/4z/UP8d/vX+1/7C/rX+rf6p/qX+of6b/pX+jf6G/oH+f/6A/oX+j/6c/qv+vP7M/tz+6v72/wH/Cv8T/xv/Jf8v/zr/Rv9T/1//bP92/4D/h/+N/5H/lP+X/5n/m/+d/5//of+j/6X/pf+k/6L/nv+Z/5L/i/+C/3r/cf9p/2H/Wf9R/0n/Qf84/y7/JP8Y/wz+//7y/uX+2P7N/sL+uf6w/qn+o/6d/pj+k/6P/ov+h/6E/oH+f/59/n3+fP58/n3+ff5+/n/+gf6D/ob+if6O/pT+m/6k/q3+t/7B/sv+1P7d/uT+6/7w/vX++P77/v7/Af8E/wf/C/8Q/xX/G/8i/yr/Mv86/0L/Sf9Q/1X/Wf9b/1z/W/9Z/1f/Vf9S/1H/Uf9R/1T/WP9d/2P/a/91/4D/jf+c/63/v//T/+j//gATACYAOQBKAFkAaAB4AIkAngC4ANcA/QEpAVoBkAHHAf4CMQJgAogCqALAAtAC2QLeAt4C3gLdAt0C3wLiAugC7wL3Av4DBgMNAxIDGAMcAyEDJwMtAzYDQQNPA2EDdwOSA7MD2QQFBDcEbQSnBOIFHQVVBYkFtQXYBfEGAAYEBf8F8QXeBcYFrQWVBX8FbAVeBVQFTwVOBVAFVAVaBWAFZgVsBXEFdgV7BR4FLgVABVMFaAV/BZgFsQXMBeYGAAYaBjIGSgZgBnYGjAaiBrgGzwbmBvwHEQckBzMHPgdDB0MHPQczByQHFQcEBvYG6wbkBuEG5AbqBvQG/wcKBxUHHwcmBysHMAc1BzoHQgdLB1cHZAdxB34HiQeRB5UHlQeRB4sHhQeAB30HfweFB5AHngevB78HzQfYB90H3gfaB9MHywfDB70Huwe7B78HwwfGB8YHwQe2B6YHkgd8B2oHXwdeB2sHiAezB+oIKghsCKoI3wkGCRsJHAkMCO0IwwiUCGcIPgggCAwIAwgECAsIFgggCCcIKQglCBsIDwgBB/UH7gftB/MIAAgSCCgIPwhVCGgIdwiACIQIgwh/CHkIcwhtCGgIZQhjCGEIYQhiCGQIZghrCHIIfQiLCJwIsQjICOAI+AkOCSAJLgk2CTkJNwkvCSQJFQkFCPMI4QjPCL0IqwiZCIgIdwhnCFgISwhACDgIMwgwCDEINAg6CEEISAhQCFcIXghkCGkIbQhvCHAIbwhtCGgIYQhYCE0IQQgyCCMIFAgFB/YH6AfbB84HwQe0B6cHmQeLB34HcgdoB2EHXQddB18HZAdqB28HcwdzB3EHagdhB1cHTgdIB0gHTwdgB3gHmQe/B+gIEAg0CFEIZQhuCG0IYwhSCD0IJggSCAEH9QfuB+sH7AfuB/AH8QfwB+4H6gflB+EH3wfeB90H2gfVB8gHsweSB2QHKQbiBpEGPAXmBZQFTAUQBOQEyAS9BL8EzQTjBP8FHAU6BVcFcgWLBaQFvAXUBesGAQYUBiIGKwYrBiQGFAX9BeEFwQWhBYIFaAVTBUMFOAUxBSwFJwUgBRUFBgTzBNwExASrBJQEfwRuBGAEVQRMBEQEOwQwBCEEEAP7A+UDzAO0A50DhwN0A2IDUQNAAy4DGgMBAuUCxgKkAoACXQI8Ah4CBgHzAecB3wHbAdkB2AHUAcwBwAGuAZUBeAFVATABCADfALcAkQBuAE0ALwAU//z/5f/P/7n/ov+I/2z/TP8p/wH+1f6l/nP+P/4L/dj9p/16/VD9Kv0I/On8y/yu/JD8b/xM/CX7+vvN+537bPs6+wr62/qt+oH6V/ot+gP52fmu+YL5Vfkp+Pz40Pim+H34Vfgv+Aj34Pe294j3Vfce9uP2o/Zh9h/13vWg9Wn1OfUR9PP03/TS9M30zvTR9Nf03PTf9N702fTQ9ML0r/Sa9IP0a/RT9Dz0J/QU9APz9PPm89nzy/O886vzmfOF83HzW/NG8zLzH/MP8wDy8vLl8tfyyPK28qHyiPJs8k7yMPIR8fTx2fHB8azxmfGG8XLxW/FA8SDw/PDV8K3wiPBn8E/wQ/BC8E/wZvCG8Kvwz/Du8QPxCvEC8OnwwfCM8E/wDu/N75LvX+837xvvCu8E7wXvC+8U7xzvIu8l7yPvHe8T7wPu7+7W7rnul+5x7kXuFe3j7a7tee1G7Rjs7+zN7LXspeye7J/speyw7LzsyezT7Nvs3uzd7NfszOy+7KzsmOyC7GrsUuw57B/sBevq68/rs+uX63rrXes/6yLrBOrm6sjqq+qO6nLqV+o86iTqDOn26ePp0unD6bfpreml6aDpnOmY6ZXpkumO6Yjpgul66XLpaelg6VfpTulF6T7pNukw6SrpJOkg6R3pHOke6SPpLOk66UzpY+l/6Z/pwunn6g3qNOpa6n/qourD6uHq/usZ6zLrS+tl63/rmuu269Lr7uwH7BzsKuwv7CfsEuvu67rreOsr6tXqfOol6dXpkOlb6TfpJekl6TLpS+lp6Yjpo+m46cTpxum/6bDpnOmF6W7pW+lM6ULpPek96T/pQulF6UXpQek56S7pHukL6Pfo4ejK6LXooOiO6H3ob+hj6FjoUOhK6EXoQuhA6D/oPug96DzoOug36DLoLOgj6BnoDOf95+zn2efF57DnmueE52/nWudH5zXnJOcV5wbm+Obq5tvmzOa85qzmm+aL5n3mcOZl5lzmV+ZU5lLmUuZS5lPmVOZT5lLmUeZQ5k/mT+ZR5lTmWOZd5mLmaOZt5nDmc+Z05nTmdOZz5nPmdOZ35nvmgOaH5o7mleac5qLmp+ar5q7msOay5rTmt+a85sHmyObQ5tjm4Obn5u7m9eb65v7nAucG5wrnD+cV5xznI+cs5zTnPedG507nVudd52Tna+dx53jngOeI55Dnmeej56zntufA58nn0+fd5+fn8ef86AfoE+gg6C3oO+hI6FfoZuh06ITolOil6Lfoy+jf6PTpCeke6TLpRelX6WbpdOl/6Yrpk+md6ajptOnD6dTp5un76g/qJOo46knqWOpl6m/qd+p+6obqj+qa6qnquurP6ubrAOsa6zTrTOtj63frieuZ66jrt+vG69br6Ov67A7sI+w37ErsXOxu7H7sjeyd7K/sxOzd7PrtG+1B7Wntk+297eXuCu4r7kjuYe537o3uo+677tju+e8g70vveu+p79fwAvAm8ELwV/Bj8GfwZ/Bj8F/wXPBd8GTwcPCC8JjwsfDM8OfxAfEY8SzxPvFO8V3xbPF78YvxnfGw8cTx1/Hq8fryCfIU8h3yJPIo8izyL/Iy8jfyPfJF8k/yWvJn8nTygvKQ8p3yqfK18sDyyfLS8tvy5PLt8vbzAfMN8xvzKvM680rzWvNq83nzhvOS853zqPOz88Dzz/Ph8/f0EPQs9Er0avSK9Kr0x/Tk9P71F/Uw9Un1ZPWA9Z71vvXd9fv2F/Yv9kL2UPZa9mD2ZfZp9nD2e/aL9qD2ufbU9vD3Cvcg9zH3O/dA90D3Pfc59zj3OvdC91D3Yvd595D3pfe498X3zffQ98/3zPfM99D32/fu+An4LfhV+ID4qfjO+Ov4//kJ+Qr5A/j4+Ov44fjb+Nv44vjw+QL5GPkt+UH5Ufld+WP5Zflk+WP5Yvlk+Wv5dfmE+Zb5qvm/+dH54vnw+fr6A/oL+hP6Hfor+jz6Ufpq+ob6o/rA+tz69fsM+x/7MPs/+0z7Wvtp+3r7jvuk+7z71vvx/Az8J/xB/Fr8cvyK/KH8uvzV/PL9Ev03/V/9i/26/ez+Hv5P/n/+rP7V/vn/Gf80/03/ZP96/5L/rP/I/+gACgAtAFEAcwCTAK8AxwDZAOgA8gD7AQEBBgEJAQsBCgEEAPcA4QDCAJgAZAAm/+P/nP9V/xL+1f6j/nv+X/5N/kT+Qv5E/kf+Sv5L/kr+Rv5B/jv+N/41/jf+Pf5G/lT+Y/50/oX+lv6m/rT+wf7N/tn+5P7w/vz/Cf8W/yL/Lv85/0L/Sf9P/1T/WP9b/17/Yv9n/23/c/94/33/gf+D/4P/gP98/3b/b/9n/1//WP9R/0v/Rv9A/zr/M/8r/yH/Ff8I/vn+6f7a/sr+vP6v/qP+mf6Q/oj+gf55/nL+av5h/ln+UP5J/kH+O/43/jT+M/4z/jT+N/46/j7+Q/5J/k/+V/5g/mr+df6B/o7+m/6o/rT+wP7L/tX+3v7m/u3+8/75/v//BP8K/w7/E/8Y/xz/If8l/yr/L/80/zr/P/9E/0f/Sv9L/0r/SP9F/0H/PP84/zX/M/81/zn/Qf9L/1j/aP96/47/pP+6/9L/6QABABkAMABHAF0AcQCEAJcAqQC8ANAA5wEBAR4BQAFmAY8BugHmAhECOQJcAnoCkAKgAqkCrQKtAqwCqgKqAqwCsgK7AsUC0gLfAuoC9AL7Av4C/gL8AvkC9gL1AvcC/gMMAyADOwNdA4YDtAPnBB4EVwSQBMgE/QUuBVoFfwWcBbEFvgXCBb4FswWiBYwFcwVXBTwFIgUKBPYE5wTcBNUE0wTUBNkE4QTqBPUFAgUPBNYE8AULBSgFRgVlBYMFoQW+BdoF8wYLBiAGMwZEBlMGYgZxBoAGkAagBq8GvgbMBtcG4AblBuYG5QbgBtoG1AbOBssGygbNBtQG3QboBvQHAAcLBxMHGgcfByIHJgcqBzAHOQdFB1MHYwdzB4EHjQeVB5gHlweSB4oHggd7B3cHdwd+B4oHmgetB8IH1gfnB/MH+gf8B/gH8QfnB90H0gfJB8AHuAewB6YHmgeLB3kHZgdSB0EHMwctBy8HOQdNB2gHhwepB8oH5Qf6CAcICwgHB/4H8gfmB9wH1gfWB9oH4QfqB/EH9QfyB+oH2gfGB60HlQd+B2wHYgdgB2YHcweFB5oHrwfBB88H1wfZB9YHzgfEB7gHrAejB5sHlgeUB5MHlAeXB5sHoAenB7EHvgfOB+MH+wgXCDQIUghuCIcInAisCLYIuQi3CLEIpgiaCI0IfwhyCGYIXAhTCEwIRQg+CDkIMwgtCCcIIQgbCBQIDggHB/8H9wfvB+cH3wfYB9IHzgfLB8oHywfNB9AH0wfWB9kH2gfZB9cH0gfLB8MHuAesB58HkQeDB3UHZwdcB1IHSwdIB0cHSQdNB1MHWQddB2AHXwdbB1MHSQc+BzQHLgcuBzUHRQdfB4EHqQfWCAQILwhUCHAIggiJCIUIeQhnCFEIOwgoCBkIDwgLCAsIDwgTCBcIGQgZCBUIDwgHB/0H8wfqB98H1AfFB7AHlQdwB0EHCAbGBn0GMAXiBZkFVgUfBPQE2ATKBMgE0wTnBQIFIwVHBW0FlAW7BeIGCAYsBksGZAZ1Bn0GegZqBlAGKwX9BcsFlgVjBTQFDATtBNUExQS7BLUEsASqBKEElASEBHAEWgRDBC4EGwQLA/8D9gPvA+kD4gPaA9ADwgOyA58DiwN4A2UDUwNDAzQDJgMXAwYC8gLaAr0CngJ7AlcCMwISAfQB3AHJAb0BtQGwAa0BqgGlAZsBiwF2AVoBOAERAOcAuwCOAGMAOQAT//D/0f+1/53/h/9y/17/Sf8y/xj+/P7b/rb+jf5h/jL+Af3Q/aD9cv1H/R/8/Pzb/L38ofyF/Gj8Svwp/AX73vu1+4n7XPsv+wL61fqo+n36Ufol+fn5zPme+XD5QvkU+Oj4vviV+G/4S/go+AX34fe695H3Yvcv9vf2vPZ99j71//XD9Yv1WfUv9Qz08vTf9NP0zfTM9M300PTS9NP00vTN9MX0uvSr9Jr0h/R09GD0TfQ79Cv0HPQO9ADz8vPi89Dzu/Ok84rzb/NS8zXzGPL88uLyyfKx8prygvJp8k7yMvIT8fPx0vGy8ZTxefFg8UvxOfEo8RfxBfDw8Njwu/Cc8HvwW/A/8CnwHPAa8CPwNvBR8HHwkvCu8MDwxvC78J/wc/A37/Dvo+9U7wruyO6S7mzuVu5P7lbuaO6C7qDuvu7a7u/u/O8A7vnu6e7P7qzug+5U7iLt7u287YztYe077R3tBuz27O3s6ezq7O7s8+z37Pns+ez17O3s4uzU7MTss+yg7I7se+xo7FXsQuwt7Bfr/uvl68jrquuK62nrSOsl6wPq4urC6qLqhepo6k7qNOoc6gbp8end6cvpu+ms6Z/plOmK6YLpe+l26XLpb+lt6WrpaOll6WDpW+lU6UvpQOkz6SbpF+kJ6Pvo7+jm6OHo4Ojj6Ozo+ekK6R/pNulQ6Wvph+ml6cTp5OoH6i3qV+qH6rvq9esz63Xruuv/7EPsg+y97O3tE+0r7TTtLe0T7OjsrOxg7Ajrpes96tPqbuoP6b3pe+lJ6SnpGekZ6SXpOulS6WvpgemS6Zzpnuma6ZDpgulz6WPpVelJ6T/pOOky6S3pJ+kh6RjpDukC6PTo5ejX6Mjou+iv6KXoneiW6JHojOiJ6IbohOiC6IDofuh86Hnodehw6GjoX+hS6EToMugf6Ann8+fb58TnrOeV54Dna+dY50bnNecm5xfnCub85vDm4+bY5szmwea25qzmouaZ5pHmieaC5nvmdeZu5mjmYeZb5lTmTeZH5kHmPeY75jvmPOZA5kXmTOZS5lnmX+Zj5mbmZ+Zn5mbmZuZm5mbmaeZu5nTme+aE5o3mlead5qPmp+aq5qzmreau5rDms+a45r7mxubP5tnm4ubr5vPm+eb95wDnAucD5wTnBucI5wznEecY5x/nKOcx5zvnROdN51XnXedl52znc+d754PnjOeV557nqOey57znx+fS593n6Of06AHoDegb6CjoNuhF6FXoZeh16Ifomeis6MDo1Ojp6P7pEekk6TbpRelT6V/paely6XvphOmO6Znpp+m36cjp3Onv6gPqFuon6jbqQ+pM6lXqW+pi6mrqc+p/6o/qouq56tLq7esK6yfrQ+td63bri+uf67Drv+vN69nr5evw6/zsB+wT7CHsMOxC7FfscOyN7K7s1e0A7S7tXu2P7cDt7e4X7jzuW+527o3uoO607sju3+787x7vRu9z76Xv2fAM8DzwaPCM8Kjwu/DG8MvwyfDF8MDwvfC88L/wx/DT8OLw8/EF8RfxJ/E08T7xRvFM8VDxVfFZ8WDxaPFy8X/xjfGb8anxt/HD8c3x1PHZ8dvx3PHd8d3x3/Hi8ejx8PH88gryG/Iu8kLyV/Js8oHylPKm8rjyyfLa8uzy/vMS8yfzPfNS82jze/OM85vzpvOv87XzuvO/88bz0PPe8/H0CfQl9ET0ZfSH9Kj0x/Tj9P31FvUt9UX1XfV39ZP1sPXO9er2BfYc9i/2PfZI9lD2V/Zf9mr2efaP9qn2yPbp9wv3KvdF91j3Zfdq92n3Zfdf91r3Wvdg9273gved97v32/f6+BX4LPg++Ev4Vfhe+Gf4c/iD+Jf4rvjI+OP4+/kO+Rr5H/kb+RH5Avjx+OH40/jM+Mv40vjf+PH5Bfka+S35PPlH+Uz5TPlJ+UP5Pvk6+Tn5O/lB+Un5VPlh+W75fPmK+Zn5qfm7+c/55/oB+h76Pfpd+n36mvq1+sz63/ru+vr7BfsP+xr7J/s3+0r7YPt4+5L7q/vF+9z78vwG/Bj8Kvw7/E78ZPx9/Jr8u/zh/Qr9Nv1k/ZP9wf3t/hf+P/5i/oP+ov7A/tz++f8X/zf/WP98/6D/xP/oAAoAKABEAFoAbgB9AIoAlQCeAKcArwC2ALoAugC0AKUAjABoADn///+7/3H/Jf7Z/pL+VP4g/fn93/3Q/cz9z/3Y/eL97P30/fj9+v34/fb98/3x/fH99f39/gf+Ff4l/jX+R/5X/mf+dv6E/pL+n/6s/rn+xv7T/uD+6/71/v7/Bf8K/w//E/8Y/xz/Iv8p/zH/Of9B/0j/Tf9Q/1H/T/9L/0X/P/84/zL/LP8o/yX/I/8h/x3/Gf8T/wr+//7y/uP+0/7D/rP+pf6Y/oz+gv55/nH+aP5g/lf+Tf5D/jn+Lv4l/h3+F/4S/hD+EP4R/hX+Gf4f/iX+LP41/j7+Sf5V/mL+cf6A/pH+of6x/sH+0P7d/un+9P7+/wf/D/8X/x3/JP8p/y7/Mv81/zf/OP85/zr/O/88/z7/QP9C/0P/RP9D/0H/Pv85/zP/Lf8o/yX/JP8m/y3/OP9H/1r/cP+J/6P/vv/Z//QADgAnAEAAWABwAIgAoQC5ANIA6wEEAR4BOAFSAW0BhwGiAb0B1gHuAgQCFwIoAjQCPgJEAkcCSQJKAkwCUAJWAl8CawJ6AooCmgKqArgCwgLJAswCywLIAsMCwAK/AsMCzALcAvQDEwM5A2UDlgPJA/4EMgRlBJUEwQTpBQwFKgVDBVYFYwVqBWsFZgVbBUsFNgUeBQME5wTLBLIEmwSIBHoEcgRvBHEEeQSFBJUEqAS+BK8EyQTlBQMFIwVDBWQFhAWjBcEF2wXzBggGGgYqBjcGRAZPBlsGZgZxBn0GiAaSBpoGoAakBqYGpQakBqIGoAagBqMGqQaxBr0GywbaBuoG+AcFBxAHGAcfByQHKQcuBzUHPgdJB1YHZQd0B4EHjAeUB5cHlgeTB40HhgeBB34HgAeHB5QHpQe5B88H5Qf4CAgIEggXCBYIDwgEB/YH5gfVB8QHswejB5MHgwdzB2MHVQdIBzwHNAcwBzAHNQc9B0cHVAdgB2wHdgd9B4IHhQeIB4sHkQeZB6UHtAfFB9cH5gfyB/cH9QfpB9YHvAedB30HXQdCBy8HIwcgByYHMwdEB1gHawd7B4YHjAeMB4cHfQdxB2QHWAdMB0IHOwc1BzEHLgcsBywHLQcwBzcHQQdQB2QHfQeZB7kH2Qf5CBYILwhDCFAIWAhZCFUITghFCDoILwgmCB8IGQgWCBMIEggSCBEIDwgMCAgIAgf7B/IH5wfaB80HvgevB58HkQeEB3gHbwdqB2cHaAdrB3EHeAeAB4cHjQeRB5IHkQeMB4QHeQdsB14HUAdCBzQHKQchBxsHGAcYBxoHHgcjBygHLActBywHKAciBxkHEAcHBwEHAAcFBxIHJgdCB2UHjQe2B98IBAgjCDsISQhOCEsIQQgzCCMIEwgGB/wH9wf3B/oH/wgECAkIDAgMCAkIAgf5B+4H4QfTB8IHrweZB34HXQc1BwYGzwaSBlEGDgXMBY0FVQUmBQEE6ATbBNkE4gT0BQ4FLgVUBX0FqAXWBgMGLgZVBnYGjwaeBqAGlgZ+BlkGKgXzBbYFeQU9BQcE2ASyBJUEgQRyBGgEYARZBE8ERAQ1BCQEEQP/A+0D3QPQA8YDvgO3A7EDqwOjA5gDiwN7A2oDWANGAzUDJQMWAwkC+wLtAtwCyQKxApYCdwJVAjICDwHuAdABtgGiAZIBhgF9AXUBbQFjAVYBQwEsAQ8A7QDHAJ4AcwBIAB7/9v/Q/67/jv9y/1j/QP8p/xL++/7i/sf+qv6J/mb+P/4W/ev9v/2T/Wj9P/0Y/PT80/y0/Jb8evxd/D/8IPv/+9z7tvuP+2f7PvsV+uv6wvqY+m76Q/oX+er5vPmM+Vz5LPj9+M/4pPh7+Fb4MvgQ9+73zPen94D3VPck9u/2uPZ99kL2B/XO9Zj1aPU+9Rv0//Tp9Nr00PTL9Mj0yPTJ9Mn0yPTE9L70tfSp9Jr0ifR29GP0UPQ+9C70HvQP9AHz8/Pj89LzvvOm84zzbvNO8yzzCvLn8sbypvKH8mryTfIx8hXx+PHa8bzxnvGA8WPxR/Eu8RjxA/Dw8N3wyvC18J7whfBq8E7wMvAa8Ajv/e/68ALwEvAp8EXwYfB68Irwj/CF8GrwPvAD77vvbO8Z7sjuf+5B7hPt9+3s7fLuBu4m7k3udu6e7r/u2O7l7uXu2O6+7prube467gTtzu2b7W3tRu0o7RHtA+z87Pvs/e0C7QftC+0L7QjtAOz07OXs0+y/7KrsleyB7G7sXOxK7DnsJ+wV7AHr6uvS67brmet561frNOsR6u3qy+qp6ojqaepM6jHqF+oA6evp1+nE6bTppOmW6Ynpful06WvpZOle6VnpVulU6VLpUOlO6UrpROk86THpI+kT6QLo7+je6M7owei56LbouejB6M/o4Oj16QzpIuk56U7pYul16Yrpoem96d/qCupA6oDqy+sg633r3+xD7KPs/e1M7Yvtt+3P7c/tt+2I7UPs7OyG7BXrnesl6rHqRunn6ZjpWekt6RLpBukI6RPpJOk46UvpXOlo6XDpcelu6WjpX+lV6UvpQuk66TPpLeko6SLpGukS6Qjo/ejx6OXo2OjN6MPouuiz6K3oquin6KXopOij6KLoouih6J/oneia6Jboj+iF6HnoaehW6EHoKegP5/Pn2Oe+56Tnjed352TnUudC5zPnJecW5wjm++bt5uDm1ObI5r/mt+ay5q7mrOaq5qrmqOal5qHmm+aR5obmeeZr5lzmTuZB5jfmMOYs5izmL+Y05jzmROZN5lTmWuZd5l/mXuZc5lnmV+ZW5lfmWuZg5mnmc+Z+5ormluag5qnmr+a05rfmuOa55rrmvOa/5sTmyubR5tnm4Obo5u7m8+b35vnm+ub75vvm/Ob+5wHnBecL5xPnG+ck5y7nN+dB50nnUuda52Lna+dz53znhueR55znp+ez577nyefU593n5+fw5/noAugL6BboI+gx6EHoVOhp6IDomOiy6Mzo5uj+6RXpKek76UnpVele6WXpa+lw6XbpfemF6Y/pnOmq6brpy+nc6e3p/eoL6hnqJOov6jrqRepR6mDqceqE6pvqterR6vDrEOsw60/rbuuL66XrvevR6+Hr7uv46/7sA+wG7AnsDOwT7B3sLexD7GHshuyz7ObtH+1a7Zbt0O4H7jfuYO6C7pvur+697snu1O7j7vbvD+8w71fvhe+37+zwIfBT8IDwp/DF8Nzw6/D08Pfw+PD38Pfw+fD+8QbxEfEe8S7xPfFM8VnxY/Fq8W/xcfFx8W/xbfFs8WvxbPFu8XHxdvF78YDxhfGJ8Yvxi/GK8YjxhfGD8YHxgvGG8Y3xmfGp8b7x1/H08hLyMvJS8nHyj/Kr8sby3vL18wzzIvM4807zZPN5847zoPOx877zyPPQ89bz2/Ph8+jz8vQA9BL0KfRC9F/0fPSZ9LT0zvTl9Pn1C/Ud9TD1RPVa9XL1jfWp9cb14fX69hD2I/Yy9kD2TPZa9mr2f/aY9rb22fb+9yT3SPdo94L3lfei96n3q/es96z3sPe498X32ffx+A74LPhJ+GX4fviS+KP4sPi8+Mb40fje+Ov4+vkK+Rj5JPkr+S75LPkl+Rv5D/kE+Pz4+fj8+QX5Ffkp+UD5WPlu+YD5jPmS+ZH5i/mA+XL5YvlU+Uf5Pfk2+TL5M/k2+T35RvlU+WX5evmU+bL51Pn5+iD6SPpu+pL6sfrK+t/67fr3+v77A/sI+xD7Gvso+zn7Tvtl+337lvut+8P71vvo+/n8Cfwb/C/8Rvxg/H/8ofzG/O39Ff0+/WX9iv2t/c/97v4M/ir+Sf5o/on+rP7R/vf/Hv9E/2n/jP+r/8f/3v/yAAMAEgAfACsAOABFAFIAXwBqAHEAcgBrAFkAPQAU/+D/of9b/w/+wv53/jL99v3F/aH9iP17/Xf9ev2C/Yv9lP2c/aH9o/2k/aP9o/2j/ab9rP21/cD9zv3d/e39/P4M/hr+KP42/kP+UP5e/mz+ev6I/pX+of6s/rX+vf7D/sf+zP7Q/tX+2/7i/ur+8v76/wH/Bv8K/wv/C/8I/wT/AP77/vj+9f70/vT+9P70/vT+8v7u/uj+3/7V/sj+u/6u/qH+lf6L/oL+ev5z/mz+Zf5d/lT+S/5B/jj+L/4o/iL+Hv4d/h7+IP4k/in+L/41/j3+RP5N/lf+Yv5v/n/+kP6i/rX+yf7d/vD/Av8T/yL/Lv86/0T/Tf9U/1v/YP9k/2f/aP9o/2b/Y/9f/1v/Vv9S/0//TP9K/0j/R/9E/0H/Pf85/zP/Lv8r/yn/Kv8v/zj/R/9Z/2//if+k/8D/2//2AA8AJgA9AFIAZwB9AJQArQDIAOQBAgEgAT0BWQFzAYoBnQGsAbcBvwHDAcUBxQHDAcIBwQHBAcQByQHQAdsB6QH7Ag4CJAI6AlECZgJ5AokClQKdAqICpAKkAqMCowKmAq0CuQLLAuMDAQMkA0wDdgOjA9AD/QQoBFAEdwSaBLoE2ATxBQgFGwUpBTMFNwU2BTAFJAUUBQAE6QTQBLcEoASLBHkEbARkBGEEYwRqBHYEhQSZBIEEjASbBK8ExwTjBQEFIgVDBWMFggWeBbcFzQXfBe4F+gYEBg0GFQYeBicGLwY4BkAGSAZPBlQGWAZbBl0GYQZlBmoGcgZ8BokGlwamBrUGxAbSBt4G6AbwBvcG/QcDBwoHEgccBycHMwc/B0sHVQddB2MHZgdnB2YHZQdkB2UHaQdvB3oHiAeYB6kHuwfLB9kH4wfpB+sH6AfhB9cHyge8B6sHmweKB3oHagdcB08HRAc8BzYHMwcyBzUHOQc/B0UHTAdSB1YHWgdcB14HYQdlB2wHdgeEB5QHpwe6B8sH2QfhB+MH3AfOB7kHngeAB2IHRgcvBx4HFQcUBxoHJQc0B0UHVQdiB2wHcQdyB28HagdiB1kHUAdHBz8HNwcvBycHIAcYBxEHDAcJBwkHDgcYBygHPQdWB3MHkAeuB8kH4QfzCAAIBwgJCAYIAQf5B/EH6gfkB+EH3wffB+AH4QfjB+MH4gfeB9kH0QfIB7wHrwegB5EHggdzB2QHVgdLB0IHPAc4BzgHOgdAB0YHTgdWB10HYwdlB2UHYgdbB1IHRgc4BykHGwcNBwEG9wbvBukG5gblBuQG5QbmBuYG5QbjBuAG2wbVBs8GygbGBsUGxwbOBtkG6Ab8BxMHKwdEB1wHcgeEB5AHmAebB5oHlgeQB4kHhAeAB34HfweCB4cHjQeTB5gHnAeeB54HmweWB44Hgwd2B2UHUAc1BxUG7wbDBpEGWgYfBeQFqQVyBUAFFQTzBNsEzQTIBMwE1wTpBQAFHAU6BVoFfAWeBcAF3wX7BhEGIQYpBicGGwYEBeQFvAWNBVsFKAT3BMoEogSABGUEUARABDMEKAQdBBIEBQP3A+gD2QPKA7wDsAOmA54DmAOSA4sDhAN7A28DYgNTA0IDMgMhAxIDAwL2AukC3QLPAsACrgKZAoECZQJHAigCCAHqAc4BtAGeAYwBewFtAV8BUAFAASwBFQD5ANoAtwCRAGkAQAAX/+//yf+l/4P/ZP9H/yz/Ev75/uD+xv6r/o3+bv5M/in+A/3c/bX9jf1m/UH9Hfz7/Nv8vPyf/IH8ZPxG/Cb8Bfvi+737mPtx+0r7JPr9+tf6svqM+mX6PvoV+er5vfmQ+WH5M/kG+Nn4sPiI+GP4P/gd9/r31feu94T3Vvck9u/2tvZ89kL2CfXT9aL1dfVP9S/1FPUA9PH05vTe9Nj01PTQ9Mv0xfS99LL0pfSV9IP0b/Ra9EX0L/Qb9Afz9fPk89Pzw/Oy86Dzi/N181vzP/Mh8wHy4PLA8qDygvJm8kvyMvIa8gLx6vHS8bjxnvGD8WfxTPEy8Rjw//Do8NHwu/Ck8Izwc/Ba8EDwJ/AR7/7v8O/p7+nv7+/88AzwHvAv8DrwPfA18CDv/u/O75PvUO8I7sDue+4/7g7t6+3Y7dTt3u307hPuNu5a7nvule6l7qruo+6P7nHuSe4b7ejtte2D7VXtLu0O7Pbs5ezc7Njs2ezb7N/s4Ozg7Nzs1OzJ7LvsqeyW7ILsbexZ7EXsMewf7Azr+evm69Hru+uj64jrbetP6zDrD+ru6s3qrOqM6m7qUOo16hvqBOnu6dvpyem56arpnemQ6YXpeulw6WjpYOla6VXpUelO6UzpSulH6UPpPek06SnpG+kL6Pro6ejY6Mvowei96L7oxejS6OPo+ekQ6SnpQOlV6WnpeumK6ZvprunG6ebqD+pD6oPq0Osm64Tr6OxM7KztBO1P7Yjtre287bLtkO1X7QvsrexD69LrXerr6n7qHenI6YLpTeko6RHpB+kH6Q/pG+kp6TXpQOlH6UnpSelF6T7pN+kv6SfpIekc6RfpFOkR6Q7pCukF6P/o+Ojx6Ono4ejZ6NHoyujE6L7ouei16LHoreiq6Kfopeii6J/om+iW6I/ohuh66GvoWehE6C3oE+f559/nxueu55jnhedz52PnVOdF5zfnKOcY5wfm9ebk5tTmxea55rHmrOaq5qvmr+az5rjmu+a85rnms+ao5prmieZ25mPmUuZD5jjmMeYv5jLmOOZC5k3mWOZj5mvmcOZy5nHmbeZo5mLmXeZZ5ljmWuZg5mnmdOaB5o/mneaq5rXmvebD5sfmyObI5sfmxubF5sbmx+bK5s7m0+bY5t3m4ubm5urm7ebx5vTm+Ob85wLnCOcQ5xjnIecp5zLnOudB50jnT+dV51znY+dr53TnfueJ55Xnoeeu57nnxefO59fn3ufl5+vn8ef56ALoDugd6DDoRuhg6Hzomui46Nbo8+kM6SLpNOlC6UzpU+lX6VrpXelg6WXpbel26YLpkOmf6bDpwenS6ePp8+oD6hPqI+o16knqX+p46pTqsurT6vbrGus/62Prh+up68rr6OwD7BvsL+w/7EzsU+xX7FjsVuxS7E7sTexQ7Frsa+yG7Kvs2u0R7U/tku3V7hbuUu6G7rDuz+7l7vLu+O777v3vAu8M7x7vOO9b74Tvs+/k8BbwRPBv8JLwrvDD8NHw2vDf8OPw5/Dt8PXxAfEQ8SLxNvFK8V3xb/F/8YvxlfGb8Z/xofGh8Z/xnfGb8ZjxlPGQ8YvxhfF+8XbxbvFl8VzxVPFM8UbxQvFC8UXxTPFY8WnxfvGY8bfx2fH+8iXyTPJz8pnyvPLd8vzzGPMy80rzYPN184nznPOu87/zzvPc8+fz8fP59AD0B/QP9Bj0JfQ09Eb0WvRx9In0oPS29Mr02/Tq9Pb1AfUL9Rb1JPU09Uf1XvV39ZL1rfXH9eD1+PYN9iD2M/ZG9lv2c/aP9q720fb19xv3Qfdk94T3n/e298j31/fk9/D3/fgL+Bz4MPhF+Fv4cviH+Jv4rPi5+MX4zvjX+N/46Pjx+Pz5B/kR+Rr5Ivkm+Sj5J/kk+SH5Hvkf+ST5Lvk++VP5bfmJ+aX5v/nV+eX57vnv+en53fnM+bj5ovmN+Xr5aflb+VL5TPlK+U35VPlg+XH5h/mj+cT56foS+jv6ZfqN+rD6zvrm+vf7A/sJ+wz7DvsQ+xT7G/sn+zf7S/ti+3v7lfuv+8j74Pv3/A78Jfw9/Ff8cvyR/LH80vz0/Rb9Nv1U/W/9iP2g/bb9y/3i/fv+F/42/ln+f/6o/tH++v8h/0X/Zv+B/5f/qP+2/8H/yf/R/9n/4f/p//H/9//7//n/8f/g/8f/o/92/0H/Bf7F/oT+Rf4J/dX9qf2G/W39XP1S/U79Tv1P/VD9Uf1R/U/9Tf1L/Ur9S/1P/VX9X/1r/Xr9if2Y/af9tf3C/c391/3i/ez99/4E/hH+H/4t/jz+Sf5V/l/+aP5u/nP+d/57/n/+g/6J/o/+lv6d/qT+qv6v/rL+tP60/rT+s/6z/rP+tP61/rj+u/69/r/+v/6+/rv+tv6w/qn+ov6b/pT+jv6K/ob+gv5//nv+dv5x/mv+ZP5d/lb+UP5M/kr+Sv5M/lD+Vf5b/mL+aP5v/nb+ff6F/o/+m/6p/rn+zP7g/vf/Dv8k/zr/T/9h/3H/f/+L/5T/nP+i/6b/qf+q/6r/qP+j/53/lv+N/4P/ef9w/2j/YP9b/1b/Uv9P/0z/Sf9G/0P/QP8//0D/RP9L/1b/Zf94/4//qP/B/9v/9AALAB8AMQBBAE8AXgBtAH4AkgCpAMIA3gD6ARYBMAFHAVoBZwFvAXEBbwFqAWIBWgFSAU4BTQFQAVkBZgF4AY4BpwHDAeAB/QIZAjQCTAJhAnMCgQKNApYCnAKiAqcCrQK0Ar0CyQLZAuwDAwMdAzsDWwN9A6ADxAPqBA8ENQRZBH0EoATBBOAE+wUSBSUFMwU7BT4FOwU0BSgFGQUHBPQE4QTNBLsEqgScBI8EhQR9BHkEeAR6BEIEOAQ1BDkERQRYBHMEkgS2BNoE/gUgBT4FVwVqBXkFgwWKBY8FkgWWBZsFoQWqBbQFwAXNBdoF5wXzBf8GCQYUBh0GJwYxBjwGRwZTBl8GawZ3BoMGjQaXBp8GqAavBrcGwAbJBtIG3AbmBvEG+gcDBwsHEgcXBxsHHgchByQHKAcsBzEHNwc+B0YHTgdVB1wHYgdnB2oHbAdsB2oHZwdiB1wHVAdLB0EHNgcsByIHGQcSBw0HCwcLBw4HEgcYBx4HJQcqBy8HMwc1BzgHOgc9B0EHRwdPB1kHZAduB3cHfQd/B3wHdQdpB1gHRQcxBx0HCwb9BvQG8AbxBvYG/wcJBxMHHQclBysHLwcxBzEHLwctBysHKAcmByMHHwcaBxQHDAcEBvsG9AbuBuwG7Qb0BwAHEQcmBz4HVwdwB4YHmgeoB7IHuAe4B7YHsQesB6cHowehB6EHpAenB6sHrwexB7IHsAesB6UHmgeOB38HbwdeB00HPActByAHFQcMBwcHBgcHBwwHFAceBykHNAc/B0gHTwdTB1MHUAdKB0AHNAcnBxgHCgb8Bu4G4wbYBs8Gxga/BrgGsgatBqcGogadBpkGlgaUBpMGkwaTBpUGmAabBp8GogalBqgGqgasBqwGrAarBqoGqQaoBqcGqAapBqsGrgayBrcGvAbBBsYGywbQBtQG2QbdBuEG5QbnBugG5gbfBtMGwQanBoYGXQYtBfgFvwWFBUwFFgTnBMAEogSOBIQEggSIBJQEpAS1BMgE2QTqBPkFBQUQBRkFIQUmBSkFKgUnBSAFFQUGBPME3ATCBKYEiQRuBFMEOwQlBBMEAgP0A+YD2QPMA78DsQOjA5UDiAN7A3ADZwNfA1gDUwNNA0gDQQM5AzADJgMaAw4DAgL2AusC4ALXAs0CwwK3AqsCnAKKAnYCYAJJAjACGAIBAeoB1gHDAbIBogGRAYABbQFWAT0BHwD9ANgArwCEAFgAK//+/9P/qf+D/17/Pf8e/wH+5v7L/rD+lf56/lz+Pf4c/fr91/2z/Y/9a/1I/Sf9B/zo/Mv8rvyR/HT8Vvw2/BT78fvM+6X7f/tY+zL7Dfrp+sX6o/qA+l36OvoV+e/5x/me+XX5TPkj+P342Pi0+JL4cPhO+Cr4BPfa96z3efdD9wn2zPaQ9lT2G/Xm9bb1jPVo9Ur1MfUd9Q30//Ty9OX02fTL9L30rPSb9Ij0c/Re9Ej0MfQa9ATz7fPX88HzrPOX84LzbfNX80DzKfMQ8vby3PLB8qfyjfJ18l7ySvI38ibyFvIG8fbx5fHR8bvxo/GJ8W3xT/Ey8RTw+PDe8MTwrfCW8IDwavBT8DzwJfAO7/fv4+/R78LvuO+x767vru+v76/vrO+l75fvge9j7z3vD+7c7qbucO497g/t6u3O7b3tt+287crt3u327hDuJ+457kXuSO5B7jHuF+317c3toe107UftHez37Nfsvuyr7J7sluyS7JDskOyQ7I/si+yF7Hvsb+xg7E/sPOwn7BLr++vl683rtuuf64brbutV6zvrIOsG6urqz+qz6pjqfupk6kzqNeog6gzp+unq6dvpzem/6bPppuma6Y/pg+l46W7pZeld6VfpUulP6U3pS+lJ6UbpQuk76TLpJukZ6Qro++jt6OLo2ujW6Njo3+js6P3pEeko6UHpWuly6Ynpoem46dHp7eoO6jTqY+qZ6tfrHetp67jsB+xU7Jrs1u0E7SPtMO0q7RHs5uyr7GLsDeuy61Lq8+qY6kPp9+m26YDpV+k66SfpHukb6R7pI+kp6S/pMukz6THpLekm6R3pFOkK6QLo+uj16PDo7ujs6Ozo7Ojs6O3o7Ojs6Oro5+jj6N7o2OjS6Mrow+i66LLoquij6JzoleiO6IjogOh46G7oY+hV6EXoMuge6Ann8ufc58fntOei55Hng+d152jnWudM5zznKucW5wHm7ObX5sTmtOan5p7mm+ab5p/mpuat5rTmuea75rnms+ap5pvmiuZ55mjmWuZP5kjmR+ZK5lLmXeZq5njmheaP5pfmmuaa5pbmj+aH5n7mduZw5m3mbeZx5nnmg+aP5pzmqua15r/mxubL5s3mzebK5sfmxObB5r/mv+a/5sHmxebK5s/m1Oba5uDm5+bt5vPm+ucB5wnnEeca5yLnKucy5zrnQOdG50rnTudS51bnW+dg52fncOd654Xnkeee56vnt+fD583n1+fg5+jn8Of66AXoE+gj6DfoTehl6IDomui16M3o4+j16QTpD+kX6RzpIekl6SrpMek86UrpW+lv6Ybpnum36c/p5+n+6hPqKOo96lPqauqF6qPqxOro6xDrOutl65HrvOvk7AvsLuxO7GvshOya7K3svOzJ7NHs1uzX7NXs0ezM7MfsxOzG7M/s4ez87SLtUe2J7cfuCO5I7oXuu+7n7wnvIO8t7zHvMe8u7y3vMO8570vvZe+G767v2PAD8CzwUPBu8IXwlfCf8KTwp/Cq8K7wtfDA8NDw4/D68RLxKvFC8VfxavF58YbxkPGY8Z7xpPGp8a3xsPGy8bLxr/Go8Z7xkPGA8W3xWfFG8TTxJvEb8RfxGPEf8S3xQfFa8XjxmvG/8ebyDvI28l/yhvKs8tDy8/MT8zLzTvNp84LzmvOx88Xz2fPr8/v0CvQW9CH0KvQz9Dv0Q/RN9Fj0ZfR09Ib0mfSt9MH01PTm9PT1APUK9RD1FvUb9SD1J/Ux9T31TfVg9XX1jfWl9b311fXs9gP2GfYw9kf2X/Z59pX2s/bT9vP3FPc091P3cfeN96f3wPfY9+/4Bvgd+DP4Sfhd+HD4gfiP+Jv4pPir+LD4tvi8+MP4y/jV+OD46/j3+QH5CfkP+RL5FPkU+RX5GPke+Sj5N/lL+WL5ffmZ+bT5zfnh+fD5+Pn5+fX57Pnf+c/5v/mw+aL5lvmN+Yf5hPmE+Yf5jvma+an5vfnW+fT6FPo4+lz6gfqi+sD62frr+vj6//sC+wP7AvsD+wb7Dfsa+yv7Qftc+3n7mfu6+9z7/fwe/D/8YPyA/KL8w/zl/Qf9J/1F/WH9ef2O/Z/9rf26/cX90f3f/fH+B/4h/kD+Y/6K/rH+2f7//yL/Qf9b/3D/gP+M/5P/mP+a/5n/lv+Q/4f/ev9o/1D/Mf8N/uL+s/6A/kv+Fv3k/bb9jv1s/VP9Qf01/S/9LP0r/Sv9Kv0m/SH9Gf0R/Qj9APz6/Pj8+vz//Qn9Fv0l/TX9Rf1U/WH9bf12/X39hP2L/ZL9mv2l/bD9vf3L/dn95/3z/f7+Bv4N/hL+Ff4Z/hz+IP4k/in+MP42/j3+Q/5J/k7+Uv5W/ln+XP5f/mL+Zv5r/nD+df56/n/+gv6E/oX+hv6F/oT+g/6D/oP+hP6G/oj+if6L/ov+i/6J/ob+g/5//n3+e/57/n3+gP6G/oz+lP6b/qP+q/6y/rr+wv7K/tX+4f7w/wH/Ff8r/0L/Wv9x/4f/m/+t/7z/yP/S/9n/3v/i/+T/5P/i/9//2v/T/8r/wP+0/6f/mv+O/4P/ev9z/23/av9n/2b/Zf9k/2P/Y/9k/2X/af9v/3j/hf+V/6f/vP/R/+b/+gANABwAKQA0AD0ARQBOAFgAZAByAIQAlwCtAMIA1wDpAPgBBAELAQ4BDwENAQsBCgELARABGgEpATwBVAFvAY0BrAHLAekCBgIgAjgCTQJgAnECgQKPAp4CqwK5AscC1QLjAvIDAAMPAx4DLgM/A1IDaAN/A5oDuAPZA/0EJARMBHQEnATDBOcFBwUiBTgFSAVTBVkFWgVYBVEFSQU+BTIFJAUVBQQE8gTeBMcEsASXBH4EZwRTBBED9wPlA94D4QPvBAcEJwRMBHQEnATCBOME/QURBR0FIwUkBSIFHwUcBRwFHwUmBTIFQgVVBWoFgQWXBawFvwXQBd8F6wX2Bf8GCAYQBhkGIwYtBjgGRAZQBl0GaQZ0BoAGiwaVBp4GpwawBrkGwQbIBtAG1wbdBuMG6AbsBu8G8QbyBvIG8QbvBu0G6gboBucG5gbmBugG6wbvBvQG+Ab9BwEHAwcDBwEG/gb5BvMG7AbmBuAG3AbaBtoG3AbfBuQG6QbvBvQG+Ab7Bv0G/gb+Bv8G/wcABwAHAQcCBwEHAAb9BvgG8QbpBuAG1gbMBsMGvAa4BrUGtQa3BroGvQbBBsQGxwbIBskGyQbJBskGygbMBs4G0QbUBtcG2AbXBtUG0AbLBsQGvQa5BrYGuAa9BscG1gboBv0HEgcoBzwHTQdaB2MHaAdqB2gHZQdiB18HXQddB18HYwdpB28HdQd6B30HfQd7B3UHbAdgB1EHQActBxkHBgb0BuQG1wbOBskGyAbMBtUG4QbwBwIHEwckBzQHQAdJB00HTQdJB0EHNQcoBxkHCQb5BukG2gbLBr0GsAakBpgGjAaCBnoGcgZtBmoGaQZqBm0GcQZ1BngGegZ5BnQGbAZgBlEGQAYtBhkGBgX1BecF3QXWBdQF1QXZBd4F5QXrBfEF9gX5BfwF/gYABgMGCAYOBhcGIQYrBjUGPAY+BjsGLwYbBf0F1gWnBXIFOgUBBMsEmgRxBFEEPAQyBDEENwREBFQEZARzBH8EhgSIBIUEfgR0BGcEWARKBD0EMQQmBB0EFAQNBAUD/QP0A+oD4APVA8oDvgOyA6cDmgOOA4IDdQNoA1oDTAM/AzIDJQMaAw8DBgL+AvgC8wLuAukC5QLgAtwC1wLRAswCxwLBArsCtgKvAqgCoAKWAooCfgJvAmACTwI/Ai4CHwIQAgIB9gHpAd4B0QHCAbEBnAGEAWYBRAEdAPIAwwCRAF0AKf/1/8P/kv9k/zr/E/7v/s7+r/6T/nf+XP5C/ib+Cv3s/c79rv2O/W79Tv0v/RD88vzV/Lj8m/x9/F38Pfwa+/f70fur+4T7Xvs4+xP68PrO+q76jvpv+k/6L/oN+er5xvmh+Xz5WPk0+RP48vjU+LX4l/h4+FX4L/gF99X3ofdo9yz27fav9nL2OPYD9dT1qvWG9Wj1TvU39SH1DfT49OH0yvSx9Jf0fPRh9Eb0LPQU8/3z5vPS873zqfOU83/zaPNR8zfzHPMA8uPyxfKo8ovycPJX8kHyLvIe8hHyBvH98fbx7vHl8drxzfG78abxjPFw8VDxMPEO8O7w0PCz8JrwhPBw8F7wTPA68CfwE+/87+Lvx++r74/vdO9a70PvMO8g7xLvB+787vHu5O7T7r/upe6G7mPuPe4W7e/tyu2q7ZHtf+127Xbtfu2M7Z/tte3L7d7t7e307fPt6e3W7brtl+1u7UPtFuzq7MLsnuyA7GnsV+xM7EbsQ+xC7ELsQuxA7DvsM+wn7BjsBuvx69nrv+uk64nrbetR6zbrG+sA6ubqzeq16p3qhupx6lzqSeo46ijqGuoN6gLp9+nt6ePp2OnN6cHptOmn6Znpiul86W/pY+lZ6VHpS+lH6UXpROlC6UHpPuk56TLpKeke6RHpBOj36Ovo4ujc6Nro3Oji6Ozo++kM6SHpOOlS6W/pj+mz6dvqCOo66nHqrOrs6y/rcuu06/LsKuxZ7H7sluyh7J7sjexu7ETsEOvU65LrTOsF6r7qe+o86gPp0emm6YLpZulR6UPpOek16TPpMukz6TPpMukv6SrpIukZ6Q7pAej16Ono3+jW6M/oy+jJ6MrozejS6Nfo3ejj6Ofo6ujs6Oro5+jh6Nro0OjF6Lroruih6JXoiuh+6HLoZuhZ6EvoPOgs6BvoCOf25+Pn0efA57DnoueW54rnf+d052jnWudK5zjnI+cN5vbm3ubI5rXmpeaZ5pLmj+aR5pbmnOak5qrmr+ax5q/mqeah5pbmieZ95nPma+Zn5mfma+Zz5n7mi+aY5qTmr+a25rrmu+a35rHmquah5pjmkeaM5onmiuaN5pPmm+ak5q3mtea85sLmxebG5sbmxObB5r/mvea85rzmvebA5sTmyubP5tbm3Obh5ufm7Obx5vbm+ucA5wbnDOcT5xvnIucq5zHnOOc+50PnSOdM51DnVeda52DnZ+dx53zniOeV56PnsufB58/n3efq5/foA+gQ6B3oK+g66EnoWuhr6Hvoi+ia6Kfosei66MDoxujM6NTo3ujr6P7pFeky6VPpeOmg6cnp8eoY6jzqXup76pbqr+rH6uDq++sY6zjrXOuD663r1+wC7CvsUux27JbssuzL7OHs9O0G7RbtJe0y7T3tR+1O7VLtVO1U7VTtVO1Y7WDtbu2E7aPtye327inuXu6T7sXu8e8V7zHvQ+9O71LvU+9T71XvXO9p733vl++379rv/vAh8EHwW/Bu8Hzwg/CG8Ifwh/CI8I3wlvCj8LTwyPDe8PXxC/Ef8TDxP/FL8VbxX/Fp8XTxgPGN8ZrxpvGv8bXxtvGx8abxlfF/8WXxS/Ex8RrxCfEA8P/xB/EZ8TLxU/F58aPxz/H78ibyT/J28pryu/Lb8vjzFfMx80zzaPOE86DzvPPX8/H0CfQf9DP0RfRU9GH0bPR29H/0ifST9J/0rPS89M303/Ty9Qb1GPUo9Tf1QvVL9VL1VvVZ9Vz1X/Vj9Wn1cfV89Yn1mPWq9b310fXl9fr2D/Yk9jn2T/Zl9nv2kfao9sD21/bw9wn3I/c+91r3d/eV97P30ffu+Ar4JPg6+E34Xfhp+HH4d/h7+H/4hPiK+JL4nPip+Lf4xfjU+OD46vjy+Pf4+fj6+Pr4+/j++QT5Dvkc+S35QflX+W35gfmT+aL5rfm0+bj5uPm3+bX5svmw+a/5r/mw+bP5t/m8+cP5y/nW+eT59foJ+iH6O/pX+nP6j/qo+r76z/rc+uP65vrm+uX64/rk+uj68fr/+xT7LftN+3D7lvu+++f8D/w4/GD8h/yt/NP8+P0b/T39XP15/ZL9p/24/cX9zv3V/dv94f3o/fH9/v4Q/iX+P/5d/n3+n/7C/uP/Av8d/zb/Sf9Y/2L/Z/9l/17/UP87/x/+/P7S/qL+bf4z/fj9vP2D/U/9Ifz8/N/8zPzC/MD8xPzM/Nf84fzp/O787/zs/OX82/zQ/MX8vfy3/LX8uPy//Mr81/zm/PX9A/0P/Rn9Iv0o/S39Mf02/Tz9Q/1N/Vj9ZP1x/X39if2U/Z39pf2r/a/9s/22/bn9vf3C/cj9zv3V/dv94v3o/e398v32/fr9//4E/gn+EP4X/h/+KP4w/jj+P/5F/kv+T/5U/lf+W/5g/mX+a/5x/nf+ff6C/of+i/6O/pH+kv6U/pb+mv6e/qT+q/6z/r3+x/7Q/tr+4/7s/vX+/v8I/xP/IP8v/0D/U/9o/33/kv+n/7r/yv/Z/+T/7f/0//n//P/+//7//v/7//j/8//s/+P/2P/M/8D/s/+n/53/lf+P/4v/if+J/4v/jP+O/4//kP+R/5H/kv+U/5j/nv+n/7L/v//O/97/7f/7AAgAEwAbACIAJwAsADAANgA9AEYAUABdAGoAeQCHAJUAoQCuALkAxADRAN4A7gEBARcBMQFNAWwBjAGtAcwB6QIEAhsCLwJAAk8CXQJqAngCiQKbArACxwLhAvsDFQMvA0cDXANvA38DjgObA6gDtgPGA9oD8gQOBC4EUgR4BJ8ExQTpBQoFJgU8BUwFVwVdBV8FXgVaBVUFUAVLBUQFPQUzBScFFgUBBOYExwSkBH4EVwQyA/AD0QO6A64DrgO6A9ED8QQXBEAEagSRBLQEzwTiBO0E8QTuBOgE4ATZBNUE1QTaBOYE9gUMBSUFQAVbBXUFjQWhBbIFwAXLBdMF2wXhBekF8QX7BgcGFQYkBjQGRAZUBmMGcQZ9BogGkQaYBp8GpQaqBrAGtQa7BsEGxgbMBtAG0wbUBtQG0QbNBscGwQa6BrQGrwasBqoGrAavBrUGvAbEBswG0wbYBtwG3gbdBtoG1gbRBswGxwbDBsAGvwa/BsEGxAbHBssGzgbRBtMG0wbTBtIG0AbOBssGyAbEBsAGuwa2BrEGrAamBqEGnAaYBpUGkwaRBpEGkAaQBo8GjgaMBooGhgaDBoAGfQZ8BnwGfgaCBocGjQaTBpgGmwadBpwGmAaSBosGgwZ8BnYGdAZ1BnoGgwaRBqEGtAbHBtsG7Qb8BwkHEgcYBxoHGwcZBxcHFgcVBxUHFgcaBx8HJAcqBzAHNQc4BzgHNQcvByUHGAcIBvUG4AbLBrcGpgaYBo4GiwaMBpQGoga0BskG4Ab3BwwHHgcrBzMHNgczBysHIAcQBv8G7QbaBsgGtgamBpYGiAZ7Bm4GYgZYBk8GSAZCBkAGPwZBBkUGSQZNBlAGUAZMBkQGNwYlBg4F9AXYBbsFnwWGBXAFYAVVBU4FTAVOBVIFVwVdBWEFZAVlBWUFZQVlBWcFbAVzBX0FiQWXBaQFrwW2BbcFrwWfBYUFYwU5BQkE1wSkBHQESwQpBBAEAAP7A/0EBQQRBB8ELAQ1BDkEOAQxBCQEEwP/A+kD1APAA68DoQOWA48DigOHA4UDgwOBA34DeQNzA2wDYwNZA08DRAM5Ay4DIwMXAwwDAQL1AukC3gLSAsgCvgK1Aq0CpwKiAp4CmwKaApkCmAKYApcClgKTApACiwKEAnwCcwJoAl0CUAJEAjcCKwIgAhYCDQIEAfwB8wHqAeAB0wHDAa8BmAF8AVsBNgEMAN8ArgB7AEYAEf/b/6f/dP9D/xX+6v7D/p/+ff5e/kL+J/4N/fP92f2//aT9if1t/VH9Nf0Y/Pv83fy//KD8gPxf/Dz8GPvz+8z7pft/+1j7M/sP+u76zvqw+pT6ePpc+j/6IfoB+eD5vfmZ+Xb5U/kx+RH48vjV+Ln4nfiA+GD4PPgU9+f3tfd+90X3CfbN9pL2W/Yn9fn10PWs9Yz1b/VV9Tr1IPUD9Ob0xvSl9IP0YfRB9CL0BvPt89fzw/Ox86Dzj/N882jzUPM28xny+vLY8rbyk/Jy8lLyNvIe8gnx+fHt8eXx3/Ha8dfx0vHL8cLxtPGi8YzxcvFU8TPxEfDv8M7wrvCS8HjwYvBP8D7wL/Af8A7v++/m783vsO+R73DvT+8t7w3u8O7W7sHuru6f7pLuhu567mzuW+5G7i3uEO3v7c3tq+2L7W/tWO1J7UHtQu1L7Vrtbu2F7ZztsO2+7cbtxe267abtie1l7TvtDuzg7LPsiuxn7EnsMuwh7BfsEOwN7AzsCuwI7APr+uvv69/rzOu1653rgutm60rrLusS6vfq3OrC6qrqkup76mbqUupA6i/qIeoU6gnqAen56fLp7enm6d/p1+nN6cLptOmm6Zbphul26WjpWulP6UfpQOk86TnpOOk36TXpMuku6SjpIOkX6QzpAej26Ovo4ejZ6NPoz+jO6NDo1ejd6Oro+ukQ6SzpTul36ajp4Oof6mPqqurz6zrrfeu66+zsE+wt7DnsNuwm7Anr4uuz633rResL6tPqnepq6jzqE+nu6c3psuma6Ybpdeln6V3pVOlO6UrpRulE6UHpPuk56TPpKukg6RTpBuj36Ono2+jO6MXovui76LvovujF6M3o1+jh6Oro8uj46Pvo++j46PLo6uje6NHow+i06KTok+iD6HHoYOhO6DzoKugY6Abn9Ofk59Tnxue656/npued55Tniud/53LnY+dR5z3nJ+cQ5vnm4ubO5r3msOan5qPmouak5qnmrua05rjmu+a75rjms+at5qXmnuaY5pTmk+aV5pnmoOao5rHmu+bD5srmzubQ5s/mzObI5sLmvOa35rPmseaw5rHmtOa45rzmwObE5sfmyObI5sfmxObC5r/mvea85rzmvubC5sfmzubV5t3m5Obr5vHm9eb45vnm+eb55vjm+Ob45vnm/OcB5wbnDecW5x/nKOcx5znnQudJ51HnWOdf52fnb+d554Pnj+ec56nnuOfG59Tn4ufw5/3oCegU6CDoK+g16EDoSuhU6F3oZuhv6HbofuiH6JHoneit6MLo3Oj86SPpT+mA6bXp7Ook6lvqjuq96ufrDOsr60brXut064vrouu869jr9+wX7DnsXOx87Jvst+zP7OTs9u0G7RbtJu027UntXe1y7Yjtne2w7cHtz+3a7eHt5u3r7fDt9+4D7hPuKu5F7mXuiO6t7tHu8u8P7yfvO+9J71XvXu9o73Tvg++X77DvzO/r8AzwLPBJ8GLwdvCF8I7wkvCU8JXwlfCY8J7wqPC08MTw1fDm8PbxBfER8RvxI/Er8TLxO/FG8VXxZvF68Y/xo/G18cLxyfHI8b/xr/GY8XzxX/FD8SrxGfEQ8RLxHvE08VTxe/Go8dfyBvI08l/yh/Kp8sjy4/L88xPzKvNB81rzdPOQ863zzPPq9Af0I/Q99FT0afR69In0lvSi9K30uPTE9NH03/Tw9QH1FPUo9Tz1T/Vh9XH1f/WK9ZP1mvWe9aH1o/Wl9ab1qfWt9bP1uvXE9c/13PXr9fr2C/Yc9i32PvZQ9mD2cfaB9pL2o/a19sn23/b39xL3L/dP92/3kPex99D37PgE+Bn4Kfg1+D74Q/hI+Ez4UvhZ+GL4b/h9+I34nviu+Lz4yfjS+Nj42/jc+Nv42vjb+N344vjq+Pb5A/kT+ST5NvlH+Vf5Zflx+Xz5hfmN+ZX5nPmj+ar5sfm4+b/5x/nO+db53/nq+ff6BvoY+iz6QvpZ+nD6hvqZ+qn6tfq9+sH6wPq++rv6uPq5+r36x/rX+u37Cfsq+1D7efuk+8/7+vwk/E38dfyb/L/84/0F/Sb9RP1h/Xv9kf2k/bP9v/3I/c790/3X/dz94/3s/fj+Cf4c/jT+Tv5q/of+pP7A/tr+8P8A/wv/D/8L/v7+6P7I/qD+cP44/fz9vP17/Tv9APzK/J38evxh/FL8TPxP/Fj8Zvx2/IX8kvyc/KL8o/yg/Jv8k/yM/IX8gfx//IH8hvyO/Jj8o/yv/Ln8w/zL/NH81vza/N784/zo/O/8+P0C/Q39GP0k/S79OP1A/Ub9S/1P/VL9Vf1Y/Vz9Yf1n/W79df19/YT9iv2Q/ZT9mf2d/aH9pv2r/bL9u/3F/dD92/3n/fL9/f4H/hD+GP4f/iX+LP4y/jn+Qf5J/lL+W/5k/m3+dv59/oX+jP6T/pv+o/6r/rT+vv7J/tT+3/7q/vX+//8J/xP/HP8n/zL/Pv9M/1v/a/98/43/nv+u/7z/yf/U/93/5P/p/+3/8P/y//P/8//y//D/7P/m/9//1v/M/8H/tv+s/6P/nf+Z/5j/mf+c/6D/pf+p/63/r/+w/7D/r/+t/6z/rP+u/7P/uf/B/8v/1v/h/+z/9f/9AAQACAALAA0ADwARABMAFwAcACMALAA3AEQAUwBlAHkAkACqAMgA6AELATEBWAGAAaYBywHtAgoCIwI3AkYCUgJbAmMCbAJ2AoUCmAKwAs0C7gMTAzkDXwODA6UDwgPaA+0D/AQHBBAEGgQkBDEEQQRWBG4EiQSnBMUE4gT8BRIFJAUvBTYFNwU1BS8FKQUjBR4FGgUXBRYFFAUQBQoE/gTtBNUEtgSSBGoEPwQWA8gDqgOUA4cDhQOOA6EDvAPeBAMEKQRNBG0EhwSaBKYEqwSqBKUEnwSZBJQElASYBKIEsQTEBNsE8wUMBSUFOwVPBV8FbAV2BX4FhQWLBZIFmQWjBa8FvAXMBdwF7QX+Bg4GHQYqBjUGPgZFBksGUQZWBlsGYAZnBm4GdQZ9BoUGiwaRBpYGmAaZBpgGlQaSBo4GiwaIBocGhwaJBo0GkwaZBqAGpwatBrMGtga4BrgGtwa1BrIGrwasBqoGqAaoBqkGqwatBrAGswa2BrgGuwa8Br0Gvga+Br0Guwa5BrYGswavBqoGpQagBpsGlgaRBowGhwaCBn0GeAZyBmwGZgZfBlgGUgZMBkgGRgZGBkgGTQZUBlwGZgZvBnYGfAZ+Bn0GeAZwBmQGVwZIBjoGLQYkBh4GHQYhBikGNgZHBlkGbQaBBpMGowawBrkGvwbBBsAGvQa5BrQGsAatBqwGrAavBrQGuwbBBsgGzAbOBswGxga8Bq4GnAaIBnMGXwZOBkEGOQY4Bj4GSgZcBnIGjAalBr4G0wbjBu4G8gbvBucG2gbJBrYGowaPBn0GbAZdBlAGRAY6BjAGJgYdBhQGCwYEBf0F+AX1BfMF8wXzBfIF8AXsBeUF2gXKBbYFnwWGBWsFUAU3BSEFDgUABPcE8QTwBPIE9gT6BP8FBAUIBQsFDwUTBRcFHQUkBS0FNgU/BUYFSwVLBUUFOAUkBQoE6ATCBJkEbgRGBCAEAQPoA9cDzQPKA8wD0gPZA+AD5QPmA+MD2wPPA78DrQObA4kDeQNrA2EDWwNXA1YDVgNWA1YDVQNRA0wDRQM8AzEDJgMbAxEDBwL+AvYC7gLnAuAC2ALQAscCvAKyAqcCnAKSAokCggJ9AnoCeAJ4AnkCegJ6AnoCeAJzAm0CZQJbAk8CQwI3AiwCIQIYAhACCQIDAf0B9gHvAeUB2AHIAbQBnAF/AV8BOwEUAOoAvwCTAGUAOAAK/93/sP+E/1r/L/8H/t/+uf6V/nL+Uv4z/hb9+v3g/cf9rv2W/X79Zv1O/TX9G/0A/OX8yPyp/Ij8ZvxC/Bz79fvN+6T7fPtU+y77Cvrp+sr6rvqT+nr6YvpJ+i/6E/n1+db5tPmR+W75S/kp+Qj46fjM+LD4lPh3+Fj4N/gR9+j3uveJ91T3Hfbm9rH2ffZN9iH1+fXV9bX1lvV59V31P/Ug9QD03vS79Jf0dPRT9DT0F/P+8+fz0/PA863zm/OG83DzVvM68xvy+fLX8rPykfJw8lHyN/If8gzx/fHx8ejx4fHb8dbxz/HH8b3xr/Gf8YvxdPFb8UDxIvEF8OfwyfCt8JLwefBh8EvwNvAi8A7v+e/j78zvs++Z737vY+9H7y3vE+787ubu0+7B7rDuoO6P7nzuZ+5P7jPuFO3z7dDtru2M7W7tVO1B7TTtL+0x7TrtR+1Y7Wntee2F7Yzti+2D7XLtWe067Rbs7+zG7J7seuxZ7D3sJuwU7Afr/ev16+7r5+ve69Prxeu066Hri+tz61vrQusp6xHq+erj6szqt+qh6ozqd+ph6k3qOeom6hTqBOn36evp4ena6dPpzunI6cLpvOm06arpn+mT6Ybpeels6WDpVelM6UXpQOk86TrpOOk26TXpMukv6SrpJekf6RnpEukM6QbpAOj66PXo8Ojr6Ofo5Oji6OTo6uj26QjpIulG6XLpp+nk6ifqbOqz6vbrNOto65Drquu167HroOuB61nrKer26sDqjepd6jLqDenu6dbpwumz6afpnemV6YzphOl86XTpbOll6V/pWelU6U/pS+lF6T7pNuks6SDpE+kE6PXo5+jZ6M7ox+jC6MHoxOjK6NPo3ujq6PXpAOkI6Q7pEekQ6QzpBuj86O/o4ejQ6L7oq+iW6IHobOhX6ELoLegb6Ann+efs5+Hn2OfQ58rnxOe+57fnruej55bnhedy517nSOcy5x3nC+b85vDm6Obj5uPm5ebo5u3m8eb15vbm9ub05vHm7Obn5uPm4Obe5t/m4ebm5uvm8eb35vznAOcB5wHm/+b85vfm8ubu5uvm6Obo5urm7Obw5vTm9+b55vrm+eb15u/m6Obg5tfmz+bI5sPmwebB5sTmyubS5tvm5ubw5vnnAecH5wvnDOcM5wrnBucC5v7m++b55vnm++b/5wTnDOcU5x7nKOcz5z3nR+dR51rnY+dr53TnfOeF547nl+eh56rntOe958XnzufV59zn5Ofr5/Ln++gE6A7oGugn6DboRuhX6Gvogeia6LXo1ej46SDpTel/6bTp7eoo6mTqn+rX6wzrPOtm64rrqOvB69jr6+v+7BLsJ+w/7FnsdOyR7K7syuzk7PrtDe0d7SvtNu1C7U7tXe1v7YbtoO297d3t/e4c7jjuT+5i7m7ude547nfude507nTud+5/7ovum+6u7sTu3O7z7wvvIu84707vZO9775Tvr+/M7+vwDPAs8EzwafCC8Jfwp/Cy8LnwvfDA8MLwxfDK8NLw3PDp8PfxBfES8R7xJ/Et8THxNPE28TrxQPFL8VnxbPGC8Zrxs/HK8dzx6fHu8evx4PHP8bjxnvGE8W7xXfFU8VXxYPF08ZHxtfHe8gryN/Jh8oryrvLP8uvzBPMb8zHzR/Nd83TzjfOn88Pz3vP69BX0LvRG9Fr0bfR99Iz0mvSm9LP0wPTO9N307fT/9RH1JfU49Uz1X/Vx9YH1kPWd9af1sPW39bz1wPXD9cX1x/XJ9cv1z/XU9dr14vXr9fb2AvYP9h32K/Y59kj2VvZk9nP2gvaS9qT2uPbP9uj3A/cg9z/3Xvd895n3tPfL99/37vf7+AT4CvgQ+Bb4Hfgl+C/4PPhK+Fr4a/h7+Ir4l/ii+Kv4sfi1+Lf4uvi9+ML4yfjR+N346vj5+Qr5Gvkr+Tv5SflX+WL5bfl1+X35hPmL+ZD5lfma+Z/5pPmp+bD5uPnC+c/53vnw+gP6GPou+kP6Vvpn+nT6fPqA+oD6fPp3+nH6bfps+m/6ePqI+p76uvrc+wL7KvtV+3/7qfvS+/j8HfxA/GH8gfyg/L/83fz6/RX9MP1I/V79cf2B/Y79mf2i/ar9sv27/cX90v3h/fP+B/4d/jT+Sv5f/nL+f/6H/oj+gP5w/lf+Nf4L/dv9pP1q/S/89fy+/I38YvxA/Cf8FvwP/BD8Fvwh/C/8PfxK/FT8XPxg/GD8XvxZ/FT8T/xL/Er8SvxO/FP8W/xj/Gz8dPx7/IH8hfyI/Ir8jPyP/JP8mPyf/Kj8s/y+/Mn81Pze/Ob87Pzx/PP89fz2/Pb8+Pz7/QD9Bf0N/RX9Hf0m/S79Nf07/UH9Rf1K/U/9VP1b/WT9bv16/Yf9lf2j/bH9vv3K/dT93v3m/e399f38/gT+Df4X/iL+Lf45/kb+Uv5e/mn+dP5+/oj+kv6d/qf+sv69/sj+0/7d/uj+8v78/wX/Dv8Y/yL/LP83/0P/T/9b/2j/dP+A/4v/lf+d/6X/q/+w/7T/uP+7/73/v/+//77/u/+3/7H/qf+g/5f/jv+G/3//ev94/3n/fP+C/4n/kP+Y/57/o/+n/6j/qP+n/6X/o/+i/6P/pf+p/6//tv+//8j/0P/X/97/4v/l/+f/5//n/+b/5v/n/+r/8P/5AAUAFQAqAEIAXwCAAKUAzgD4ASQBUAF8AaQBygHrAgcCHgIwAj4CSQJTAl0CagJ5Ao0CpwLGAusDEwM+A2oDlAO8A98D/AQUBCUEMQQ5BD4EQgRGBEwEVQRgBHAEgQSUBKcEuQTIBNQE2gTcBNoE1ATMBMMEugSzBK4ErAStBK8EsgS0BLMErgSjBJEEeQRbBDcEEQPsA54DggNsA10DVQNWA18DbwOFA58DugPVA+4EAwQUBB8EJwQqBCoEKQQnBCYEKAQsBDQEQAROBF8EcQSEBJgEqQS6BMgE1ATeBOcE7gT1BPwFBAUNBRcFIgUuBTwFSQVXBWUFcQV9BYcFkQWaBaEFqQWwBbgFwAXJBdIF3QXnBfIF/AYGBg8GFwYdBiIGJgYpBiwGLgYwBjIGNQY4Bj0GQQZHBk0GUgZXBlwGYAZkBmcGaQZqBmwGbQZvBnEGdAZ3BnoGfgaCBoUGigaNBpEGlQaYBpsGngagBqIGpAakBqQGowahBp0GmQaTBosGgwZ5Bm8GYwZXBkoGPAYuBiEGEwYHBfsF8gXrBeYF5QXnBe0F9gYCBg8GHgYsBjkGQwZJBksGSAY/BjIGIQYMBfYF4AXMBbsFrgWnBaYFqwW3BccF2wXxBgkGHwYzBkQGUAZWBlgGVAZNBkMGOAYsBiIGGwYWBhUGGAYdBiQGKwYxBjUGNgYyBioGHgYOBf0F6wXaBc4FxgXEBcoF1gXpBgAGGwY3BlEGaQZ8BogGjgaOBocGewZsBlsGSQY3BigGGgYPBgUF/QX1Be0F5QXaBc4FwQWzBaQFlgWJBX4FdAVtBWcFYgVdBVgFUQVIBTwFLQUbBQgE8wTeBMoEuASqBJ8EmASVBJcEnQSlBLEEvgTMBNoE6QT2BQMFDgUYBR4FIgUhBRwFEQUBBOwE0QSxBI0EZwRABBkD9QPVA7oDpAOWA4wDiAOHA4kDiwOMA4sDhwN/A3MDZQNUA0MDMwMkAxgDEAMLAwoDCwMPAxMDFwMZAxkDFwMRAwkC/wLzAugC3ALTAssCxQLBAr4CvAK6ArcCtAKuAqcCngKUAokCfwJ1Am0CZwJkAmICYwJkAmUCZgJlAmICXAJUAkgCOwItAh8CEwIIAgAB+wH4AfgB+QH6AfkB9AHqAdoBwgGjAXwBTgEaAOIAqABtADP//P/I/5n/bv9I/yf/Cf7t/tP+uv6i/on+b/5V/jr+Hv4D/ej9zf2z/Zr9gv1q/VT9Pf0n/RH8+vzh/Mj8rPyP/G/8Tfwp/AP73Puz+4r7Yfs6+xT68PrP+rD6lPp6+mH6Sfox+hn5/vnj+cX5pvmG+WX5RPkj+QT45vjI+Kz4j/hy+FT4M/gQ9+n3vveR92H3L/b89sv2mvZs9kH2GfXz9dH1sPWR9XL1U/Uz9RP08vTR9K/0jvRv9FD0NPQZ8//z5/PQ87jzn/OG82rzTvMv8xDy8PLQ8rHylPJ58mDySvI28iXyFvIJ8f3x8vHn8d3x0/HI8b7xs/Gn8ZvxjvGA8XDxXvFK8TTxG/D/8OLww/Ck8ITwZPBF8CjwDe/0793vye+376fvmO+K73zvb+9h71LvQe8u7xrvAu7o7svuq+6I7mLuO+4S7entwe2a7XftWO0/7SrtHO0U7RDtEe0V7RrtIO0k7STtIe0a7Q3s/Ozo7NDstuyb7IHsaexS7D7sLOwb7A3r/uvw6+Hr0Ou966jrket561/rRust6xbrAOrs6trqyeq66qvqnOqN6n3qa+pY6kPqLuoY6gPp7+nc6czpvumy6anpoemb6ZbpkemM6Yfpgel66XPpa+lk6V3pV+lS6U3pSulI6UbpRelF6UXpROlE6UXpRelG6UfpSOlJ6UrpS+lK6UjpQ+k+6TbpLukm6R/pG+kc6SPpMulK6Wrpk+nD6fjqMepo6p3qyuru6wfrEusQ6wHq5urB6pXqZuo26gnp4Om+6aPpkOmE6X7pfel/6YPphumJ6Ynph+mD6X3pdelt6WTpXOlT6UzpROk96TXpLOkj6RnpDukD6Pfo7Ojj6Nzo1+jV6Nbo2ujg6Ono8+j96QjpEekZ6R7pIuki6R/pGekQ6QTo9ujl6NLovuin6JDoeehi6EvoN+gk6BXoCOf+5/fn8ufw5+7n7Ofp5+Xn3ufU58fnt+em55Pngedw52DnVOdL50bnRedH50znUedY513nYedk52TnYudf51rnVedR507nTedN50/nU+dY51znYOdj52TnY+df51rnVOdO50jnQ+dA5z7nP+dC50XnSedN50/nTudL50TnOuct5x7nDub95u7m4ObV5s7my+bM5tDm1+bg5urm8+b85wTnCucO5w/nD+cO5wznCucJ5wjnCecM5w/nFecb5yPnKucy5zrnQedI50/nVedb52HnZ+du53XnfOeD54vnkueZ55/npeep56znruex57Pnt+e858Tnz+fd5+/oBugg6D/oYuiI6LHo3ekL6Tzpbumi6dfqDupF6nvqserl6xbrROtu65PrtOvP6+fr++wO7CDsM+xH7F7seOyW7Lbs2ez77R3tPe1a7XPtiO2Z7abtsu297crt2e3s7gPuHu497l/ugu6j7sHu2+7v7vzvAu8B7vvu8e7l7tnuzu7G7sLuw+7J7tTu4+737w7vKO9F72Tvhe+o78zv8vAX8DzwYPCB8J/wuPDM8Nvw5fDq8O3w7fDu8O/w8vD48QLxDvEc8SvxOvFI8VPxW/Ff8WDxYPFe8V3xXvFi8WvxefGL8aDxuPHP8ebx+PIF8gzyDPIG8fvx7PHc8czxv/G38bXxuvHH8drx9PIT8jXyWfJ+8qLyxfLm8wTzIfM881bzcPOJ86HzuvPR8+nz/vQT9Cb0N/RG9FT0YfRt9Hn0hfSS9KD0r/TA9NH05PT29Qn1HPUu9T71TvVd9Wr1dvWB9Yz1lfWe9ab1rfW09br1wPXG9cv10PXW9dv14vXp9fL1/PYG9hL2H/Ys9jr2R/ZW9mX2dPaE9pT2pva59s724/b69xH3KPc/91X3avd894z3mvem97H3uvfD98z31ffg9+z3+vgI+Bj4J/g2+ET4Ufhd+Gf4b/h4+H/4iPiR+Jz4qPi2+MX41vjn+Pn5Cvka+Sj5Nfk/+Uj5TvlT+Vb5WPlZ+Vn5WflZ+Vr5XPlf+WT5a/l1+YL5kfmj+bb5yvne+fH6AfoO+hb6GvoZ+hT6DPoD+fr58/nv+fH5+foH+h36Ofpa+oD6qfrT+v37JvtN+3H7k/uy+9D77PwI/CT8Qfxe/Hz8m/y5/Nf89P0P/Sj9QP1W/Wr9ff2P/aH9s/3F/df96P35/gf+E/4a/hv+Ff4I/fL90/2s/X39Sf0P/NT8mfxg/Cz8APvb+8H7sfuq+637t/vH+9v78PwF/Bj8Jvww/Db8Nvwz/Cz8JPwc/BX8EfwO/A/8E/wZ/CH8Kfwy/Dj8PvxB/EP8RPxD/EP8Q/xE/Ej8TvxX/GH8bPx4/IP8jfyW/Jz8n/yh/KH8oPyf/J78n/yi/Kb8rPy0/L38x/zQ/Nr84vzq/PH89/z9/QT9DP0V/R/9Kv03/UX9VP1i/XD9ff2I/ZP9nP2k/a39tf29/cf90v3e/er9+P4G/hX+Iv4v/jz+R/5S/lz+Zf5u/nf+gP6K/pP+nf6n/rH+uv7D/sz+1P7d/uT+7P70/vz/BP8N/xX/Hv8m/y3/NP87/0H/Rv9K/07/Uf9U/1b/WP9Y/1j/Vv9T/0//Sv9E/z7/Of80/zH/L/8w/zP/Of9A/0j/Uf9b/2P/av9w/3T/dv92/3b/dP9z/3P/c/91/3j/ff+E/4v/kv+a/6H/p/+s/7D/sv+0/7b/t/+6/73/w//M/9j/5//7ABIALgBOAHEAlgC+AOcBDwE3AVwBfwGfAbsB0wHpAfwCDwIiAjYCTAJmAoQCpgLMAvQDHgNJA3IDmAO5A9YD7AP8BAcEDQQPBBAEDwQPBBEEFgQdBCcEMgQ+BEoEVARbBF8EYARcBFYETQREBDoEMwQtBCwELQQyBDgEQARHBEwETQRIBD4ELQQWA/sD3AO9A4EDaANSA0ADMgMqAycDKgMyAzwDSgNZA2cDdQOCA40DlgOcA6IDpgOpA60DsgO3A74DxgPQA9sD5wP0BAIEDwQcBCkENQRABEsEVQRfBGkEcgR8BIUEjgSXBKEEqgSzBL0ExgTQBNoE5ATvBPkFBAUQBRsFJwUzBT8FSwVWBWAFagV0BX0FhQWMBZMFmgWhBagFrwW1BbwFwwXKBdEF2AXeBeQF6gXvBfQF+QX+BgMGCAYNBhQGGgYhBikGMQY5BkEGSAZPBlQGWQZdBmEGYwZlBmcGaQZqBmwGbQZuBm8GbwZuBmwGaAZiBlkGTwZCBjMGIgYPBfsF5QXPBbkFpAWRBX8FcQVmBWAFXQVgBWYFcQWABZEFpAW2BcgF2AXjBeoF7AXoBd4FzwW8BaUFjQV2BWAFTwVCBTsFOwVCBVAFYgV5BZIFqwXDBdcF5wXwBfQF8gXqBd0FzQW9BawFnQWRBYkFhQWFBYcFjAWSBZcFmgWaBZYFjwWFBXkFbAVhBVgFVAVVBVwFagV9BZYFsQXOBeoGBAYZBikGMgY2BjMGLAYiBhUGCAX7Be8F5QXcBdUFzgXHBb8FtAWnBZYFgwVuBVgFQQUrBRcFBQT3BOsE4wTcBNgE0wTOBMcEvgSzBKUElQSDBHEEYARSBEYEPwQ9BEEESgRZBG0EhASfBLoE1gTwBQcFGgUnBS4FLQUkBRQE/ATdBLgEjgRiBDQEBwPdA7YDlQN7A2YDWANQA0wDSwNMA0wDSwNGAz4DMgMjAxAC/ALoAtUCxAK3Aq0CqAKnAqgCrAKxArYCugK7ArkCtAKtAqQCmgKQAoYCfwJ6AncCdwJ5AnsCfgKAAoECfwJ7AnQCbAJiAlgCTgJGAkECPgI+Aj8CQgJGAkgCSQJGAkACNgIpAhoCCQH5AeoB3wHYAdUB2AHfAegB8gH6Af4B/AHwAdkBtwGJAVABDQDDAHQAJP/V/4r/Rv8J/tb+rf6M/nP+YP5T/kj+Pv41/in+HP4M/fr95f3P/bf9nv2F/W39Vf0+/Sj9Evz8/Of80fy7/KP8ivxv/FL8M/wS+/D7zPum+4D7Wvs0+w766vrH+qb6h/pp+kz6MPoV+fv53/nE+aj5jPlv+VL5NvkZ+P344fjG+Kv4j/hy+FT4NPgR9+z3xPea9273QPcR9uL2tPaG9lr2L/YG9d/1ufWU9XH1TvUr9Qr06fTI9Kn0i/Rt9FH0NfQa8//z4/PI86vzjvNv81DzMfMS8vPy1vK78qLyi/J28mTyU/JD8jTyJfIW8gfx9/Ho8dnxzPHA8bbxr/Gq8abxpPGh8Z3xl/GN8X7xavFQ8THxDfDm8LzwkvBq8ETwIvAF7+7v3e/R78nvxO/B77/vu++076rvnO+I72/vUe8v7wnu3+6y7oTuVe4m7fftyu2f7XbtUe0v7RLs+Ozj7NLsxuy87LXssOyt7Krsp+yk7J/smuyT7Irsgex37GzsYOxT7EbsOOwo7BfsA+vu69brvOug64LrZOtF6yjrDOry6tzqyeq56qzqoeqX6o7qhep76m/qYOpP6jvqJeoO6fbp3+nJ6bTpoumT6Yfpful46XTpcelv6W7pbelr6WnpZ+lj6WDpXelZ6VfpVelU6VTpVelX6VvpYOlm6W3pdel+6YfpkOmX6Z3poemi6aHpnOmU6Yrpfuly6WjpYOlc6V/paOl46ZDpr+nS6fnqIOpG6mbqgOqQ6pXqj+p+6mLqP+oW6enpvemT6W7pUOk76S3pKOkq6TLpPulM6VrpZ+lx6Xjpe+l66Xbpb+lm6VzpUOlF6TrpL+kl6RvpEekI6P/o9+jx6Ovo5+jk6OTo5ujq6PDo+OkB6QvpFOkd6SXpLOkx6TPpNOky6S3pJukd6RHpA+jy6N/oyuiz6JzohOht6FboQugw6CHoFugP6AvoCegK6AvoDOgM6AroBuf/5/Xn6efb587nwee2567nqeeo56vnsee558PnzefW597n4+fl5+Xn4ufe59jn0ufN58rnyOfH58nny+fO59Hn0+fT59LnzufJ58Pnvee357Hnrues563nruex57Tntee157Hnqeee547neudk50znM+cc5wjm9ubp5uDm3Obc5t/m5ebr5vLm+eb+5wHnA+cD5wPnAucC5wLnBecJ5w/nF+cg5yrnNec+50fnTudT51bnV+dX51fnVudW51jnW+dh52jncud954nnleeg56vntee858PnyOfO59Pn2+fk5/LoBOgc6DnoXOiE6LHo4ukX6U7phum/6ffqLupk6pfqx+r16yDrR+tq64rrp+u/69Xr6Ov47AjsGOwp7DzsU+xt7I3ssOzY7QPtMO1d7Ynts+3Z7fruFu4u7kHuUe5f7mzue+6L7p/utu7Q7u3vCu8n70LvWe9s73nvgO+A73vvcu9l71bvR+857y7vJ+8l7yjvMe8/71PvbO+K763v0u/78CTwTvB48J7wwvDh8PrxDPEZ8R/xIfEe8RjxEvEN8QrxC/EQ8RrxKPE48UvxXfFv8X3xh/GN8Y7xi/GG8YDxevF28XbxevGE8ZPxpvG88dPx6/IA8hLyIPIo8izyK/Im8h/yGPIR8gzyC/IP8hjyJfI48lDybPKK8qzyz/Ly8xbzOvNc837znfO689Xz7fQB9BP0IfQt9Db0PvRE9En0UPRX9GD0a/R59In0m/Su9ML01vTq9Pz1DfUc9Sn1NPU99Ub1TvVW9V71Z/Vw9Xv1hvWS9Z71qfW19b/1yfXS9dv14/Xr9fT1/PYG9hD2G/Yn9jP2QPZO9lv2afZ39oT2kvaf9qz2uvbH9tX24vbw9v73C/cZ9yb3NPdB90/3Xfds93r3ifeZ96n3uPfH99X34/fw9/v4BvgQ+Bn4I/gt+Dj4RPhS+GL4c/iF+Jn4rPi/+NL44/jy+P75CfkR+Rb5Gfkb+Rv5GvkY+Rb5FPkT+RL5E/kW+Rv5Ivks+Tj5RvlW+Wf5ePmI+Zb5ofmo+az5qvmk+Zv5kPmD+Xj5b/lq+Wr5cvmA+ZX5sfnS+fj6IPpI+nH6l/q7+tz6+vsU+y37RPtb+3T7jfuq+8n76vwO/DT8XPyE/Kz80/z4/Rz9P/1e/Xz9l/2v/cT91f3h/ef95/3f/c79tP2Q/WP9Lvzw/K78aPwh+937nvtn+zn7GPsD+vv7APsQ+yj7SPtr+4/7sfvQ++j7+vwF/Aj8Bvv/+/X76fve+9X7z/vM+8370fvX+9/75vvu+/T7+Pv6+/v7+vv5+/f79/v5+/z8AvwK/BT8H/wq/DT8PvxG/Ev8T/xR/FH8UfxR/FH8U/xW/Fv8Yfxp/HL8e/yF/I78l/yf/Kj8sPy4/MH8yvzU/OD87Pz5/Qb9FP0g/S39OP1C/Uv9VP1c/WX9bv14/YP9kP2d/av9uf3H/dX94v3u/fn+Av4K/hL+Gf4g/if+L/43/kD+Sf5T/lz+Zf5u/nb+ff6E/on+jv6T/pf+nP6g/qT+qf6t/rH+tf65/rz+v/7B/sL+xP7F/sX+xv7H/sf+yP7I/sj+yf7K/sr+zP7O/tH+1f7a/uH+6P7x/vr/A/8M/xX/HP8h/yX/J/8o/yf/Jv8k/yL/If8h/yL/Jf8q/zH/Of9C/0z/Vv9g/2n/cv96/4L/iv+R/5n/ov+s/7j/xv/X/+sAAgAcADgAVwB3AJgAugDbAPsBGwE4AVUBcAGLAaUBwAHdAfsCGwI+AmQCiwKzAtsDAgMnA0kDZgN+A5EDngOnA6sDrAOsA6sDqwOsA68DtAO8A8UD0APZA+ID6QPtA+0D6wPlA94D1QPNA8UDwAO+A8ADxQPNA9cD4gPtA/YD/AP9A/kD7wPgA8wDtQObA1gDQwMvAx0DDgMCAvoC9QL0AvYC+gMBAwkDEgMcAyYDMAM6A0QDTQNWA14DZgNtA3UDfAODA4oDkgOaA6IDrAO2A8IDzgPbA+gD9gQEBBEEHQQpBDMEPQRFBEwEUwRZBF8EZgRuBHcEgQSNBJoEqAS2BMUE1ATjBPAE/QUIBREFGgUhBScFLQUyBTgFPgVFBU0FVQVfBWkFcwV9BYYFjwWYBZ8FpQWrBbAFtAW5Bb8FxQXNBdUF3wXqBfYGAgYOBhkGIwYsBjMGOAY8Bj0GPgY9BjsGOQY4BjYGNgY2BjYGNwY3BjYGNAYwBikGIAYTBgMF7wXZBcAFpgWLBXAFVQU9BSgFFgUIBP8E+wT8BQIFCwUZBSkFOwVNBV4FbgV6BYIFhgWGBYAFdQVnBVYFQwUwBR8FEAUFBP8E/wUEBQ8FHwUzBUkFYAV1BYgFlwWhBaUFpAWdBZEFggVxBV8FTgU/BTQFLAUoBScFKAUrBS8FMgUzBTIFLwUqBSMFGwUVBREFDwUSBRsFKAU6BVAFaQWEBZ4FtgXMBd0F6QXwBfIF8AXsBeUF3AXUBcsFxAW9BbYFrwWnBZ0FkQWCBW8FWwVDBSsFEgT5BOIEzgS9BK4EpASbBJUEkASLBIQEfQRzBGcEWARIBDgEKAQbBBAECgQJBA4EGQQqBEEEXQR7BJwEvATaBPQFCAUWBRsFGAULBPUE2ASzBIgEWwQrA/wDzwOmA4IDZQNOAz0DMwMtAyoDKQMoAyUDIAMYAwwC/ALqAtYCwQKsApoCigJ9AnUCcAJuAm4CcAJyAnMCcgJuAmkCYQJYAk4CRAI8AjYCMgIxAjMCNwI8AkICRwJKAkoCSAJDAjwCMwIpAh8CFwIRAg4CDgIRAhUCGwIfAiMCIgIeAhYCCQH5AecB1AHBAbMBqAGkAaYBrQG6AckB2AHmAe0B7AHfAcYBnwFrASkA3QCKADH/2P+B/zD+5v6o/nT+S/4s/hf+Cv4C/f79+v33/fH96f3e/dD9vv2q/ZX9fv1m/U/9N/0g/Qr88/zd/Mf8sPyZ/IH8aPxO/DP8F/v6+9z7vPuc+3r7WPs0+xD67PrI+qP6f/pc+jr6Gfn4+dr5vPmg+YX5a/lS+Tn5IfkK+PL42vjC+Kj4jvhy+FX4NvgV9/L3zfen93/3V/ct9wL21vaq9n72UfYl9fj1zPWh9Xb1TfUl9P/03PS69Jv0fvRj9En0L/QW8/zz4fPF86fziPNn80bzJfMF8ubyyfKw8pnyhfJz8mPyVfJG8jjyKPIY8gbx9PHi8dHxwvG18avxpfGi8aLxo/Gl8abxpPGe8ZLxgPFm8UbxIPD28MnwnPBw8EjwJfAI7/Pv5O/b79fv1u/X79fv1e/P78Tvs++c74DvXu837w7u4e607oXuV+4o7fvtzu2j7XntUe0q7Qbs5OzG7Krsk+yA7HHsZuxf7FzsXOxe7GHsZexp7Gzsbexs7GjsYexY7EvsO+wo7BHr+evd68DroeuB62DrQOsh6wTq6erQ6rzqquqc6pDqh+p/6njqcOpo6l3qUOpA6i7qGeoD6evp0+m96afplemF6XnpcOlq6WfpZulm6Wjpaelr6Wvpa+lp6WfpZOlh6V/pXeld6V/pY+lp6XLpfOmJ6Zfppum06cLpzenW6dzp3+nd6djp0OnF6bnprOmh6ZnplemW6Z3pqum86dTp7+oN6irqROpa6mnqb+ps6l/qSOoq6gTp2umu6YLpWek16RnpBOj46PPo9+kB6Q/pIek06UbpV+ll6XDpdul56Xjpc+ls6WLpV+lK6T3pL+ki6RXpCOj96PTo7ejo6Obo5+jr6PHo+ukF6RHpHukq6TXpP+lH6U3pUOlR6VDpTOlH6T/pNukr6R/pEekB6O/o3OjH6LHom+iF6G/oXOhL6D3oM+gs6CjoJ+go6CroLOgt6C3oK+gm6CDoGOgP6AfoAOf75/nn+uf/6AjoE+gf6C3oOuhF6E7oVOhX6FboU+hO6EjoQeg66DXoMegv6C7oL+gv6DDoMOgw6C7oK+go6CToIege6B3oHegf6CLoJugo6CroKegk6BvoDOf55+Lnx+ep54vnbedR5znnJOcV5wrnBOcC5wPnBucJ5wznDecN5wvnCOcE5wDm/Ob75vvm/+cF5w3nGOck5zHnPOdG507nUudU51PnUOdN50nnRudG50nnUedc52zngOeW56/nyefj5/zoE+go6DroS+hb6GroeuiM6KHouujX6PjpH+lK6Xjpqenb6g7qQOpw6p/qyury6xfrOetY63Trjuul67vrzuvh6/PsBOwV7CfsOuxQ7GjshOyk7Mjs8O0c7Urte+2s7dzuCe407lrue+6Y7q/uw+7T7uHu7+797wzvHe8x70bvXe91747vpO+578rv1+/g7+Tv4+/f79jvzu/E77rvse+r76nvq++z78Dv0+/s8ArwLfBT8Hvwo/DL8PDxEfEt8ULxUPFX8VfxUvFJ8T/xNPEq8SXxI/En8THxP/FR8Wbxe/GO8Z7xqvGx8bLxrvGm8ZvxkPGF8X7xe/F98YbxlPGn8b/x2fHz8gzyI/I18kPyS/JO8kzySPJB8jryNfIy8jPyOfJF8lfybvKL8q3y0/L78yXzT/N3857zwfPf8/n0DfQd9Cf0LfQv9C/0LfQr9Cr0K/Qv9Df0QvRQ9GL0d/SM9KP0ufTN9OD07/T99Qf1D/UW9Rv1IPUm9S31NfVA9Uz1WvVp9Xn1iPWY9af1tfXB9cz11vXf9ef17/X49gH2CvYU9iD2K/Y39kP2T/Zb9mX2b/Z49oH2ifaQ9pj2oPap9rP2vvbL9tn26Pb59wz3H/cy90b3Wfds9333jfeb96j3s/e898X3zffV99335/fy9//4Dvgf+DL4R/hc+HH4hvia+Kz4vPjJ+NT43Pji+Ob46Pjo+Of45vjk+OP44vjh+OL45Pjn+Oz48/j7+Qb5Efke+Sv5OPlE+U75VPlY+Vf5U/lM+UH5Nfkp+R75FfkR+RL5Gfkn+Tv5VPlz+ZX5uPnc+f76Hvo6+lL6Z/p5+oj6l/qm+rf6y/rj+wD7IvtJ+3T7o/vV/Af8Ovxs/Jz8yfzy/Rf9N/1S/Wf9df19/X39df1k/Ur9J/z7/Mb8i/xJ/AT7vvt5+zj6/vrN+qf6jvqC+oP6kPqo+sj67vsX+z/7ZfuG+6H7tPvA+8T7wvu7+7H7pfuZ+4/7iPuE+4P7hfuK+5H7mPuf+6X7qvuu+6/7sPuw+6/7sPux+7T7uPu++8b7zvvX++D76Pvw+/b7/PwA/AT8B/wK/A78EvwX/B38I/wq/DL8OvxC/Ev8U/xb/GP8bPx2/ID8i/yW/KL8r/y8/Mn81fzg/Ov89fz+/Qf9D/0X/SD9Kf0z/T79Sv1W/WP9b/17/Yb9kP2Y/Z/9pf2r/bD9tf27/cL9yf3R/dr95P3t/fb9//4H/g3+E/4W/hn+G/4c/h3+Hv4e/iD+If4i/iT+Jv4n/ij+KP4o/ij+J/4n/if+KP4q/iz+MP41/jv+Qf5J/lH+Wf5i/mv+df5//on+k/6d/qf+sf66/sL+yf7P/tT+1v7X/tf+1v7U/tL+0P7P/tD+0/7Y/uD+6v72/wT/FP8k/zT/RP9T/2H/bf95/4P/jf+X/6H/rP+5/8j/2f/tAAQAHQA4AFQAcgCRAK8AzgDsAQoBKAFGAWUBhAGlAccB6gIPAjQCWgJ/AqMCxQLjAvwDEgMiAy8DNwM7Az0DPgM/A0ADQwNHA04DVwNhA2wDdwOBA4kDjgOQA5ADjAOHA4ADeANxA2wDaQNpA20DcwN8A4cDkwOeA6cDrgOxA7ADqgOfA5EDgANsAu0C3gLQAsQCuQKxAqsCqAKmAqcCqgKwArYCvwLJAtQC4ALtAvoDBwMUAyADKwM1Az4DRgNMA1IDVwNcA2EDaANwA3kDhAORA58DrgO9A80D3APqA/cEAQQKBBEEFwQcBCAEJAQqBDAEOQRDBE8EXQRtBH0EjgSfBLAEvwTNBNkE4wTsBPME+gUABQYFDQUUBRwFJQUvBToFRQVQBVoFZAVtBXUFewWABYUFiQWNBZIFmAWfBagFsgW+BcsF2QXmBfQGAAYLBhQGGgYdBh8GHwYdBhoGFwYUBhIGEAYQBhEGEwYUBhUGFQYSBg0GBAX3BeYF0gW6BaAFgwVnBUoFLwUXBQIE8gTmBN8E3QTgBOYE8AT8BQkFFwUkBTAFOQVABUMFQwU/BTkFMAUkBRgFCwT/BPQE6wTlBOME5QTqBPME/wUNBR0FLQU8BUkFVAVbBV0FXAVXBU8FQwU3BSkFHAUQBQYE/wT6BPgE+AT6BPwE/gT/BP8E/gT8BPkE9QTxBO8E7wTxBPcFAQUNBR0FLwVCBVYFaQV6BYkFlQWeBaQFpgWmBaQFoQWcBZcFkQWLBYUFfQV1BWoFXgVQBT8FLQUZBQUE8ATbBMgEtgSmBJkEjQSEBHwEdQRuBGYEXgRVBEsEQAQ0BCkEHwQWBBAEDQQOBBMEHQQqBDwETwRkBHkEjgSgBK4EtwS6BLcErQScBIUEaARGBCED+gPTA60DiQNpA00DNgMkAxYDDAMGAwAC/AL3AvAC5wLdAs8CwAKwAp8CjgJ/AnICaAJgAlsCWAJXAlYCVQJUAlACSwJDAjoCLwIjAhgCDgIGAgEB/wIAAgMCBwINAhICFgIYAhcCEwINAgUB+wHxAekB4gHeAd0B3wHkAekB8AH1AfcB9wHxAegB2gHIAbUBogGQAYEBeAF0AXcBfwGMAZsBqgG2Ab0BuwGuAZUBbgE7AP0AtABmABP/wP9w/yX+4v6p/nr+Vf45/iT+F/4N/gb+AP34/fD95P3W/cb9s/2e/Yn9cv1c/UX9Lv0X/QD86fzR/Lj8n/yE/Gn8Tvwy/BX7+fvc+7/7ofuD+2P7Q/sh+v762vq0+o76Z/pA+hr59vnT+bP5lfl6+WH5S/k3+ST5EvkB+O742/jG+K/4lvh7+F/4Qfgi+AH34Pe+95v3ePdU9y/3Cfbh9rj2jPZf9jD2APXQ9aD1cfVE9Rn08fTN9K30j/R19Fz0RfQu9Bbz/PPh88PzovOA813zOfMW8vTy1PK38p3yhvJy8mHyUPJB8jLyIvIR8gDx7fHb8cnxuPGp8Z3xk/GM8Yfxg/GA8XvxdPFp8VnxRPEq8Qvw6PDC8JvwdfBR8DHwFvAC7/Lv6O/i79/v3e/b79bvzu/C77Dvme99713vOe8U7u3uxe6e7nfuUe4s7gft4e287ZXtbu1H7SDs+uzV7LTslux+7GrsXexU7FLsU+xX7F7sZexs7HHscuxw7GrsX+xQ7D3sJ+wN6/Hr1Ou265jreetb6z7rIusH6u7q1urB6q7qneqO6oHqdepq6mDqVupM6kDqM+ok6hPqAent6djpw+mv6Zzpi+l96XLpaull6WPpY+ll6Wjpa+lu6XHpculy6XHpb+lt6WzpbOlt6XLpeOmC6Y7pnemt6b3pzund6erp9On66fvp+enz6evp4OnV6crpwum+6b/pxenR6eLp+OoR6i3qSOpi6nfqh+qO6o7qg+pw6lXqM+oL6eDptemL6WTpQukn6RPpB+kC6QTpDOkY6SjpOelK6Vvpa+l46YPpi+mQ6ZLpkemO6Yfpful06WfpWOlJ6TnpKekb6Q/pBukA6P7o/+kF6Q/pG+kp6TnpSelX6WPpbel06Xfpd+l06W7pZ+ld6VPpSOk96THpJOkX6Qno+ujp6Njoxui06KPokuiD6Hboa+hk6F7oXOhb6FvoW+hc6FvoWehW6FHoTOhG6EHoPug96D7oQuhK6FToYOhu6HzoiuiV6J/opeio6Kjopuih6JvoleiO6InohOiB6H/ofuh+6H7of+h/6H/of+iA6IHog+iG6IrokOiW6J3oo+io6KroqOih6JXog+ht6FHoMugQ5+3nzOet55Hneudo51vnUudN50vnSudK50nnRudB5zvnM+cr5yLnGucU5xHnEOcS5xfnHucm5y/nN+c+50PnRudH50bnRedE50XnSedR517nceeJ56fnyefv6BjoQehq6JLot+jY6PfpEukq6UDpVulr6YLpmem06dHp8OoR6jPqV+p66pzqverc6vnrFOss60TrWutv64Xrm+uy68rr4+v87BfsMexN7GjshOyh7L7s3ez97R/tQ+1p7ZDtue3j7gzuNO5b7n7unu667tLu5+747wfvFO8g7yzvOu9J71vvbu+E75vvs+/L7+Lv9/AK8BnwJPAq8C3wLPAn8CHwGfAS8AvwCPAJ8A7wGfAq8EDwXPB98KHwx/Dt8RHxMvFP8Wbxd/GB8YXxhPF/8XjxcfFq8WfxZ/Fr8XPxgPGP8aDxsPG/8cvx0vHU8dHxyfG98a/xoPGS8YjxgvGB8Yfxk/Gk8brx0/Ht8gbyHfIw8j7yR/JK8kjyQvI68jHyKfIk8iTyKfI18kjyYfKC8qfy0fL98yrzVvN/86XzxfPf8/P0APQG9Af0BPP98/Tz6vPi89zz2fPb8+Hz7PP79A70JPQ79FP0avSB9JX0pvS19MH0y/TT9Nr04fTp9PH0+/UG9RP1IvUy9UL1U/Vj9XP1gfWO9Zr1pfWu9bf1wPXI9dL13PXm9fL1/vYL9hj2JfYx9j32R/ZS9lv2ZPZs9nX2fvaI9pP2oPav9r/20fbk9vj3Dfci9zb3SPda92n3dveB94v3k/ea96H3qPew97n3xffT9+P39vgL+CH4OPhP+GX4eviM+J34qvi1+L34w/jG+Mf4yPjH+Mb4xPjD+ML4wfjB+ML4xPjH+Mz40vjZ+OL46/j2+QH5C/kV+R35Ivkl+ST5Ifka+RH5B/j8+PL46vjm+Ob46/j2+Qb5Gvky+Uz5ZvmB+Zn5rvm/+cv51Pna+d754fnl+ez59/oI+h76PPpg+ov6uvrt+yL7WPuM+7777PwV/Dj8Vfxr/Hv8hPyG/IL8d/xm/E78MPwN++T7t/uG+1T7Ivrx+sP6m/p6+mL6U/pP+lT6Y/p5+pf6uPrc+v/7Ifs++1b7aPtz+3j7ePtz+2v7YftW+037RvtB+0D7QftF+0v7Uvta+2L7aPtu+3L7dft3+3j7eft5+3r7e/t9+4H7hfuJ+4/7lfub+6H7p/uu+7T7u/vB+8j7zvvV+9z74/vp+/D79/v+/AX8DPwU/B38Jvwx/Dz8SPxV/GL8b/x8/In8lfyg/Kv8tPy9/MX8zfzV/N385fzu/Pf9Af0K/RP9G/0j/Sr9L/00/Tj9O/0//UL9R/1M/VL9Wf1h/Wr9cv17/YL9iP2O/ZH9k/2U/ZP9kv2R/Y/9jv2O/Y79j/2Q/ZL9k/2V/Zb9l/2X/Zf9mP2Y/Zn9m/2e/aP9qf2w/bn9w/3N/dj95P3w/fv+B/4T/h/+LP45/kb+VP5i/m/+fP6J/pT+nv6m/qz+sf60/rb+uf67/r/+xf7N/tj+5f71/wf/Gv8u/0P/Vf9n/3X/gf+K/5D/lP+X/5n/nP+h/6n/tP/D/9b/7QAIACYARgBoAIoArQDPAPEBEQEwAU8BbAGKAagBxgHlAgMCIQI/AlsCdAKMAqACsAK9AsYCzALQAtMC1ALWAtkC3QLjAuoC8wL9AwcDEQMaAyEDJgMoAygDJgMiAx4DGQMVAxMDEgMTAxcDHAMiAyoDMAM3AzsDPQM8AzcDMAMmAxoDDAL9Ak4CRQI9AjgCNAIzAjMCNAI4AjwCQQJIAlACWAJiAm0CeQKHApQCowKxAr8CzALYAuIC6wLyAvgC/AMAAwQDCQMOAxUDHgMpAzUDRANTA2MDcwOCA5ADmwOlA6wDsQO1A7cDuAO6A70DwQPIA9ED3QPrA/sEDgQiBDcESwRfBHIEgwSTBKEErgS5BMMEzATWBN8E6ATyBPwFBgUQBRoFIwUrBTIFOAU9BUIFRgVKBU8FVAVbBWQFbgV6BYgFlgWlBbQFwgXPBdoF4gXpBe0F7wXwBfAF7wXvBe4F7wXxBfMF9gX4BfkF+QX1Be4F4wXUBcAFqQWOBXEFUwU1BRkE/wTqBNoEzwTKBMoE0ATZBOUE8wUCBRAFHAUmBSwFLwUvBSsFJQUcBREFBQT5BO4E5ATbBNQE0ATOBM4E0ATUBNoE4QToBPAE+AT/BQUFCgUNBQ4FDQUKBQUFAAT5BPEE6gTjBN0E2ATUBNEEzwTPBM4EzgTOBM4EzQTMBMoEyATGBMQEwwTEBMYEygTQBNgE4QTsBPgFBAUQBRwFJwUwBTgFPwVDBUYFSAVHBUUFQgU+BTgFMAUnBR0FEgUFBPcE6ATYBMkEuQSqBJsEjQSABHQEaAReBFUETQRGBD8EOQQ0BDEELgQtBC0ELgQxBDYEPARCBEoEUQRYBF0EYgRkBGMEYARZBE8EQgQxBB0EBgPtA9MDtwObA34DYwNJAzEDGwMHAvUC5gLZAs0CwwK5ArACpgKbAo8CgwJ2AmgCWwJOAkICOQIxAisCKAInAicCJwIoAigCJwIkAh4CFgIMAgEB9QHoAd0B0wHLAccBxAHFAccBywHPAdIB1QHVAdMBzwHIAcEBuQGxAasBpgGlAaYBqgGvAbYBvAHBAcQBxAG/AbcBqwGdAY0BfQFvAWQBXQFbAV8BZgFwAXwBhwGPAZEBiwF8AWIBPQEOANUAlgBRAAv/xf+B/0P/C/7b/rP+kv54/mL+Uf5C/jT+Jv4W/gX98v3d/cb9r/2Y/YH9av1U/T79KP0T/Pz85fzN/LP8l/x6/Fz8PPwb+/v72fu4+5f7dvtU+zL7D/rr+sX6n/p4+lD6KPoB+dv5uPmY+Xz5Y/lO+T35L/kk+Rr5EPkH+Pv47vjd+Mr4tPib+H/4YvhD+CT4BPfk98T3pfeE92T3Qfcd9vf2zvai9nT2RPYS9eD1rvV+9VD1JvT/9Nz0vfSg9Ib0bvRV9Dz0IfQE8+XzwvOd83bzT/Mn8wHy3PK78pzygfJp8lTyQvIx8iHyEvIC8fHx3/HN8bvxqPGW8YTxcvFi8VLxQ/E08SPxEfD98Ofw0PC28Jvwf/Bk8EvwNfAi8BPwCPAB7/3v+u/57/bv8u/q797vzO+275vvfO9Z7zXvEe7t7sruqu6L7m/uU+447h3uAO3h7b/tm+107UztJOz87NbsteyY7ILscexn7GPsY+xn7Gzscux27HfsdOxs7GDsTuw37B7sAevi68PrpOuG62nrTes06xvrBOrv6trqxeqy6p/qjOp66mnqWupK6jzqL+oi6hXqCOn76e3p3unO6b7premd6Y7pgOlz6WnpYule6VzpXelf6WPpaOlt6XLpdul56XzpfumA6YPph+mM6ZPpnemo6bXpxOnT6eLp7+n66gLqBuoH6gTp/un26ezp5Ond6drp2+ni6e/qAeoZ6jTqUupw6ozqpOq26sHqw+q86qzqk+pz6k3qJOn56c/pqOmF6WnpUulD6TrpN+k66UHpSulW6WLpb+l76YbpkOmY6aDppums6bDpsumy6bDprOmk6Zrpjul/6W/pX+lP6UHpNeku6SrpLOky6TzpSelZ6WrpeumJ6ZXpnumi6aPpn+mY6Y7pg+l26WnpXOlR6UbpPOkz6SrpIOkX6QzpAej16Ono3ejQ6MXouuiy6Kropeig6J3omuiX6JTokeiN6Ijog+h/6Hvoeeh56Hvof+iH6JDom+io6LTowOjL6NXo2+jf6OHo4eje6Nvo1+jS6M7oy+jJ6MjoyOjI6MrozOjO6NDo0+jX6Nzo4ujp6PHo+ukD6QzpE+kZ6RvpGekR6QXo8ujb6L7on+h96FroOegZ5/3n5ufT58Xnu+e157LnsOev563nqeek553nlOeK54Dndedr52PnXedZ51fnWOda513nYOdj52bnaeds52/nc+d654Pnkeek57zn2uf96CXoUuiB6LHo4ekP6TvpZOmH6afpwunZ6e3p/uoP6h/qL+pA6lLqZep56o7qo+q46szq3+rx6wPrFOsm6zjrTOti63vrl+u269fr++wh7Ejsb+yW7Lvs3+0C7SPtQu1g7X3tmu237dXt8+4R7jDuT+5t7orupe6+7tTu5+747wbvE+8e7yrvNu9D71HvYu9274vvou+679Pv6vAA8BPwI/Av8DbwOfA48DTwLfAl8B3wFvAT8BTwGvAm8DjwUPBu8JHwtvDe8QbxLfFR8XLxjvGl8bjxxfHP8dbx2/Hf8ePx6PHt8fTx+/IC8gjyDPIO8gvyBfH78e3x3fHK8bfxpvGX8YzxhvGG8Yzxl/Gn8brxz/Hl8fnyCvIX8h/yIvIg8hryEvIJ8gDx+vH38fryBPIU8izySfJt8pXyv/Lq8xXzPfNh83/zl/On87HztPOx86rznvOQ84Hzc/No81/zWvNa82DzavN484vzoPO489Hz6vQD9Bv0MPRE9Fb0Z/R19IL0j/Sb9Kj0tfTC9ND03vTt9Pz1CvUZ9Sf1NPVA9Uz1V/Vi9W31efWF9ZH1n/Wu9b31zfXd9e71//YP9h72LfY79kj2VfZh9m32efaG9pP2ovax9sL20/bk9vb3CPcZ9yn3OPdF91D3Wvdi92r3cfd494D3ifeU96H3sPfB99X36/gB+Bn4MPhG+Fv4bvh++Iv4lvid+KL4pfim+Kb4pfij+KH4oPie+J74nvif+KD4o/im+Kv4svi5+ML4zfjY+OP47/j5+QL5CfkN+Q75C/kF+P348vjm+Nn4zvjF+L74vPi++MT4zvjc+Ov4+/kK+Rj5I/kr+S/5L/ks+Sj5I/kf+R35IPkn+TX5Svlm+Yf5rvnZ+gb6M/pg+or6sPrR+uz7AfsQ+xn7HPsb+xX7C/r/+u/63frJ+rT6nfqG+m76WPpC+i/6H/oU+g76DvoU+iD6MvpJ+mX6g/qi+sH63/r5+w/7IPss+zP7Nfsz+y77J/sf+xj7EvsO+w37DvsS+xj7IPso+zH7OvtB+0j7TftQ+1L7UvtR+1D7TvtM+0r7SftJ+0r7TPtQ+1T7Wftf+2b7bft0+3z7g/uK+5H7mPue+6X7q/uy+7n7wfvK+9P73vvp+/b8A/wQ/B78K/w4/ET8T/xa/GP8bPx0/Hz8g/yK/JH8mPyf/Kb8rfyz/Ln8vvzC/MX8yPzK/Mz8zvzR/NT82Pzc/OH85/zt/PT8+fz+/QL9Bf0G/Qb9Bf0E/QL9APz+/P78/vz//QH9BP0H/Qv9D/0T/Rb9Gf0b/R79IP0j/Sb9Kv0v/Tb9Pf1G/U/9Wf1k/W79ef2E/Y/9m/2o/bb9xv3Y/ez+Av4a/jT+Tv5o/oH+mf6v/sL+0v7g/uz+9/8A/wn/FP8g/y3/Pv9Q/2T/ef+O/6H/sv/A/8n/zv/O/8r/w/+5/6//pv+g/57/ov+r/7z/0//wABIAOABhAIoAswDaAP8BIQE/AVoBcwGJAZ4BsQHFAdgB6wH+AhECIwI0AkQCUQJdAmYCbAJwAnMCdQJ2AncCeAJ7An4CgwKIAo4ClAKaAqACpAKoAqoCrAKtAq0CrQKuAq8CsAKyArQCtwK5ArkCuQK3ArMCrAKkApoCjgKBAnMCZgJaAcYBwQG+Ab4BvwHDAccBzQHTAdoB4QHnAe4B9gH+AgYCEAIaAiYCMgI/AkwCWQJlAnACeQKBAogCjQKSApYCmgKeAqQCqwK0Ar8CzALaAukC+QMIAxYDIgMsAzMDOAM6AzsDOgM4AzcDOAM6A0ADSANVA2UDeAOOA6cDwAPbA/UEDgQlBDsETgRfBG4EegSFBI8EmASgBKgEsAS4BL8ExgTNBNQE2gTgBOYE6wTxBPcE/gUHBREFHAUpBTcFRgVWBWUFdQWDBZEFnAWmBa0FswW4BbsFvgXBBcQFyAXLBc8F0gXUBdQF0gXMBcIFswWgBYkFbQVPBS8FDgTvBNMEuwSoBJwElgSXBJ4EqgS6BM0E4QT1BQcFFQUgBSYFKAUlBR8FFQUJBPwE7wTjBNcEzQTGBMAEvAS6BLoEugS7BLwEvgS/BMAEwQTCBMMEwwTEBMQExATEBMMEwgTABL0EugS2BLEErASnBKIEnASXBJMEjwSMBIkEhwSFBIQEgwSCBIEEgQSBBIEEggSEBIcEigSPBJUEnASlBK4EuATDBM4E2ATiBOoE8QT1BPgE+AT2BPEE6gThBNcEywS+BLAEoQSTBIUEdwRpBFsETgRBBDUEKQQeBBUEDQQGBAMEAQQDBAgEEQQcBCoEOgRMBF0EbgR9BIgEkASSBI8EhgR2BGIESAQqBAgD5QPAA5wDeQNXAzkDHQMFAvAC3gLPAsICtgKsAqICmAKOAoMCdgJpAloCSwI7AisCGgILAf0B8QHmAd8B2QHWAdUB1gHYAdoB3AHcAdwB2QHUAc0BwwG5Aa0BoQGVAYsBgwF8AXgBdwF3AXkBfAF/AYEBggGBAX8BewF3AXEBbAFoAWUBZAFmAWoBcAF3AX8BhgGMAZABkgGQAYwBhQF8AXMBagFjAV4BXAFeAWMBawF0AX0BgwGGAYMBeAFlAUkBJAD2AMIAiQBMAA//0v+Z/2T/NP8L/ub+yP6t/pb+gP5s/lb+QP4p/hD99f3a/b79o/2I/W/9V/1B/S39Gf0F/PH82/zE/Kv8j/xx/FH8LvwJ++P7u/uT+2v7QfsY+u76xPqa+m/6RPoa+fH5yvml+YP5ZflM+Tf5J/kc+RX5EvkR+RH5EvkR+Q75CPj9+O/43PjG+Kz4j/hw+FD4MPgP9+73zfet94v3afdF9x/29/bM9qD2cPZA9g/13vWu9YH1VfUt9Qj05vTH9Kn0jfRw9FP0NfQU8/Hzy/Oj83rzUfMn8v/y2fK18pXyefJg8kryNvIl8hTyBfH18eTx0vG/8arxlPF98WXxTPEy8Rjw/fDj8MjwrfCS8HjwYPBJ8DXwI/AW8AzwB/AF8AfwDPAT8BnwH/Ah8B/wGPAL7/jv3u+/75vvde9M7yXu/+7b7rvun+6G7nDuW+5H7jHuGe3+7d/tvO2V7WztQe0X7O7syeyp7I/se+xu7GfsZexn7Grsbuxv7G7saOxd7E7sOewg7APr5evF66Xrhuto603rM+sb6wXq8Orb6sfqsuqe6ojqdOpf6kvqOOom6hbqCOn76e/p5Ona6dDpxem66a/poumW6Ynpfely6WjpYOlb6VjpWOla6V7pZOlq6XLpeemB6YnpkemY6aHpqemz6b7pyunW6ePp7+n76gXqDeoS6hTqE+oP6gnqAun66fTp8eny6fjqBOoW6i3qSepo6onqqOrF6tzq7Or06vLq5urR6rPqj+pm6jrqDunl6cDpoOmH6Xbpa+ln6Wjpbel16X/piOmR6Znpn+mk6afpqumt6a/ps+m26brpvenA6cHpwOm96bbpremh6ZTphel36WrpYelb6VnpXell6XHpgemT6abpt+nH6dPp2und6drp0+nI6bvpq+mb6Yvpfelw6WbpXelX6VLpTulK6UbpQek66TPpKukg6RbpC+kA6Pbo7ejl6N3o1ujQ6MroxejA6Lvotuiz6LDoruiu6LHotei76MPozOjX6OHo7Oj26P/pBukL6Q/pEOkR6RDpDukM6QvpCukJ6QnpCukL6Q3pD+kS6RXpGOkc6SHpJuks6TLpOek/6UXpSulM6UvpR+k/6TLpIekM6PPo2Oi86KDohOhr6FboROg36C7oKego6CnoK+gv6DHoM+gy6DDoK+gl6B3oFOgL6APn++f05+/n6+fp5+jn6Ofp5+vn7ufy5/joAegM6BvoLuhF6GHoguim6M7o9+kj6U3pd+me6cHp4On76hHqI+ow6jvqQ+pL6lHqWeph6mrqdeqC6o/qnuqt6r3qzerd6u7rAOsU6yrrQutd63vrnevD6+vsFuxD7HHsn+zL7PftIO1G7Wrtiu2p7cXt3+357hHuKe5B7lnuce6J7p/ute7J7tzu7O777wjvFO8f7ynvNO8/70zvWu9q73vvju+i77bvye/b7+vv+fAD8AnwDPAM8AjwA+/97/fv8+/x7/Pv+vAG8BjwMfBO8HHwmPDC8O/xHPFJ8XTxnvHE8efyBvIi8jryT/Jg8m7yefKA8oXyhfKC8nvyb/Jg8k3yNvId8gLx5/HN8bbxofGS8YfxgvGE8YrxlfGj8bPxxPHU8eHx6/Hx8fPx8fHs8eXx3PHU8c/xzfHP8dfx5fH48hLyMPJS8nbymvK+8uDy/fMW8ynzNvM98z/zO/My8ybzGfMK8vvy7vLj8tvy1/LY8t3y5vLz8wTzGfMv80nzY/N+85nztPPO8+fz//QV9Cr0PvRP9GD0cPR+9Iz0mfSm9LL0vvTK9Nb04fTu9Pv1CPUW9Sb1NvVH9Vr1bfWB9Zb1q/XA9dX16vX+9hH2I/Y09kT2UvZg9m72evaH9pP2oPat9rr2x/bV9uL27/b89wj3FPce9yn3Mvc890X3TvdY92T3cPd+9473n/ey98b32/fx+Ab4Gvgt+D/4Tvhb+GX4bfhz+Hf4evh7+Hv4e/h6+Hr4efh5+Hn4evh7+H34gfiG+Iz4lPie+Kr4uPjG+Nb45fj0+QH5DPkT+Rf5FvkQ+Qb49/jm+NL4vvip+Jb4hfh4+G/4afhn+Gn4bPhy+Hf4fPh/+IH4gfh++Hr4dfhw+G34bPhu+HX4gPiR+Kb4v/jb+Pn5Gfk4+VX5b/mH+Zr5qfmz+br5vPm8+bn5tfmv+an5ovmb+ZT5jfmH+YL5fvl8+Xv5fvmD+Yz5mfmr+cD52vn2+hb6N/pY+nn6l/qz+sv63vrt+vb6+/r8+vr69vrx+uv65/rk+uP65frp+u/69/sA+wn7Evsb+yL7J/sr+yz7LPsq+yf7I/se+xr7FvsU+xL7EvsT+xX7GPsd+yL7J/st+zP7Ofs/+0X7SvtQ+1f7Xvtl+277d/uB+4z7mPul+7L7v/vL+9j74/vu+/j8AfwJ/BD8F/wd/CP8Kfwv/DX8O/xA/Eb8TPxR/FX8Wfxc/F/8Yfxj/GX8Z/xq/Gz8b/xz/Hb8evx9/H/8gvyD/IP8g/yC/ID8fvx9/Hz8fPx+/ID8g/yI/I38k/yZ/J/8pPyp/K38svy2/Lr8v/zE/Mv80/zc/Of88vz//Qz9Gf0m/TP9QP1N/Vr9aP14/Yr9n/24/dT98/4V/jr+Yf6I/q7+0v70/xL/LP9D/1X/Zf9y/3//i/+Y/6b/tv/I/9v/7gAAABAAHQAmACkAJgAdAA///v/q/9X/wv+z/6n/p/+t/7v/0//yABgAQgBwAJ4AywD2ARwBPQFYAW4BfwGMAZcBnwGnAa8BtwHCAc0B2QHmAfQCAAIMAhUCHQIiAiUCJQIlAiMCIQIeAhwCGwIbAhwCHwIiAiYCKwIwAjYCOwJAAkUCSgJOAlICVQJXAlgCWAJWAlECSwJDAjgCLAIfAhACAQHyAeUB2AHOAXQBcQFwAXIBdQF6AYABhgGNAZQBmwGhAacBrgG0AbsBwwHMAdYB4AHrAfcCAwIOAhkCIwItAjQCOwJAAkUCSgJPAlUCXAJlAm8CewKIApYCpQKzAsECzgLYAuAC5QLnAugC5wLlAuMC4gLiAuYC7QL4AwcDGgMxA0oDZgODA6ADvQPYA/EEBwQaBCoEOARDBEwEUwRaBF8EZQRqBHAEdgR8BIMEigSRBJgEoASnBLAEuQTDBM4E2gToBPYFBQUVBSUFNQVEBVEFXgVpBXIFegWBBYYFiwWPBZQFmAWcBZ8FogWkBaQFoQWaBZAFgQVuBVYFPAUeBP4E3wTBBKYEjgR9BHIEbQRvBHcEhASVBKkEvgTTBOYE9gUCBQoFDQULBQYE/gT0BOgE3QTSBMcEvwS3BLIErQSqBKcEpASiBJ8EnASZBJYElASSBJAEkASQBJIElASXBJkEmwSdBJwEmwSXBJEEigSCBHgEbgRkBFsEUgRMBEcEQwRCBEIEQgREBEYESARKBEsETARNBE0ETgRPBFIEVgRbBGMEbAR3BIMEkQSeBKoEtgS/BMYEygTLBMkExAS8BLIEpQSYBIkEegRqBFsESwQ8BC0EHwQQBAMD9gPpA98D1gPRA84D0APVA+AD7gQBBBcELwRJBGIEeASMBJoEogSiBJsEiwR0BFYEMgQJA94DsQOFA1sDNAMRAvMC2gLGArYCqgKhApkCkwKMAoQCewJwAmICUwJCAi8CHAIIAfYB5AHVAccBvQG1AbABrAGrAasBrAGtAa0BrAGqAaUBnwGXAYwBgQF2AWoBXwFVAU0BRwFDAUEBQAFBAUMBRQFHAUgBSAFGAUMBPwE7ATcBNAExATEBMgE1ATsBQgFKAVIBWQFfAWQBZgFmAWQBYAFaAVUBUAFNAUwBTQFRAVcBXgFmAWwBcAFvAWkBWwFHASoBBgDbAKsAdwBAAAn/1P+h/3H/Rv8g/v7+4P7F/qz+lP58/mP+SP4s/g/98P3R/bL9k/12/Vv9Qv0r/Rb9Avzu/Nv8x/yx/Jj8ffxf/D38Gfvx+8b7mftr+zv7CvrY+qf6dfpF+hX55/m7+ZL5bPlL+S35FfkC+PT47Pjo+On47Pjy+Pn5APkF+Qj5B/kB+Pj46vjX+MD4pviJ+Gr4Sfgn+AT34fe995n3dPdN9yb2/PbS9qb2ePZL9hz17/XC9Zf1bvVH9SL0//Td9Lz0nPR79Fr0N/QT8+7zxvOe83bzTfMm8wDy3PK78p3ygvJp8lPyQPIt8hzyCvH48eXx0fG78aPxivFv8VPxNvEY8Pnw2fC68JvwffBh8EbwL/Ab8AvwAO/67/jv/PAD8A7wGvAm8DHwOfA98DvwMfAh8Arv7O/J76LveO9N7yTu/u7a7rvuoe6K7nbuZO5S7j7uKO4P7fHtzu2o7X7tU+0n7Pzs1eyy7JXsfuxu7GTsX+xe7F/sYexi7GHsXOxT7EXsM+wc7APr5uvI66nri+tu61HrN+sd6wXq7urX6sDqqeqS6nzqZupQ6jzqKeoX6gjp++nw6ebp3enW6c7pxum+6bTpqumf6ZTpiOl96XPpa+lk6WDpXulf6WLpZ+lu6XbpgOmK6ZXpoOms6bnpxunT6eHp7un86gnqFeof6ibqLOou6i3qKuom6iDqG+oX6hXqGOog6i3qQOpY6nXqlOq16tXq8usK6xvrI+si6xfrAurk6sDql+pr6j/qFunw6dHpuOmn6ZzpmOma6Z/pp+mw6bnpwOnF6cjpyenJ6cfpxunE6cTpxOnG6cnpzOnP6dDp0OnN6cjpwOm16anpnemQ6YfpgOl96YDph+mT6aTpuOnN6ePp9+oJ6hbqHuog6h3qFOoH6ffp5OnR6b/prumg6ZTpjOmG6YLpf+l+6Xzpeel16W/paOle6VTpSOk86S/pI+kY6Q3pBOj86PTo7ujp6OXo4ejf6N3o3eje6OHo5ejr6PLo+ukD6QzpFekd6SXpLOkx6TXpN+k56TnpOek46TfpNuk16TXpNek26TbpN+k46TnpOuk76TzpPOk96T7pPuk+6T3pO+k46TPpK+ki6RbpCOj46Ofo1ejE6LPopOiY6I/oiuiI6IvokOiY6KLorei56MTozejV6Nro3ejd6Nzo2ejV6NDoyujF6MHovui76LnouOi46LrovOjA6MbozujY6OXo9ekI6R7pN+lS6W/pjemr6cjp4+n86hLqJOoz6j7qRepK6k7qUOpS6lTqWOpd6mTqbup66ojql+qo6rrqzuri6vfrDesk6z3rV+t065Prteva7AHsKuxU7IDsrOzZ7QTtLu1W7XztoO3B7eDt/O4X7jDuSO5e7nPuh+6a7qzuve7N7tvu6O717wDvC+8V7x/vKu8170HvTu9c72rvee+I75fvpe+y773vx+/O79Pv1u/X79fv1u/V79Xv1+/b7+Lv7O/78A/wJ/BD8GTwifCx8NzxCfE38WXxlPHB8e3yF/I+8mHygPKa8q/yvvLH8sryx/K98q3ymPJ+8mHyQfIg8f/x3/HD8avxl/GJ8YHxfvGB8YjxkvGe8avxt/HC8crx0PHS8dHxzvHK8cTxv/G78brxvfHD8c3x3PHv8gXyHfI38lHyavKB8pbyqPK18r/yxPLG8sTywPK58rDyp/Ke8pXyjfKH8oPygvKE8ojykPKb8qryu/LQ8ufzAPMc8zjzVfNz85DzrPPH8+Dz9/QM9B70L/Q99Er0VvRg9Gr0dPR+9In0lfSj9LH0wfTT9Ob0+vUQ9Sf1P/VX9W/1iPWg9bj1z/Xl9fr2DvYh9jL2QvZQ9l32avZ19n/2ivaU9p72qPay9r32yfbU9uH27fb69wf3Ffcj9zD3P/dN91z3bPd794z3nfev98H30/fl9/f4CPgZ+Cj4N/hE+FD4Wvhj+Gr4b/hz+HX4d/h3+Hb4dPhy+G/4bPhq+Gn4avhs+HL4eviE+JP4pPi4+M745Pj7+RH5JPkz+T35QvlA+Tj5KfkU+Pr43fi8+Jr4efhZ+Dz4I/gP9//39Pft9+r36ffr9+/38/f39/v3//gD+Ab4CvgP+BX4HPgl+DD4PfhL+Fz4bfh++JD4ofiy+MH4z/jb+OX47vj1+Pr4//kB+QP5A/kD+QL5Afj/+P/4//kA+QX5DPkW+ST5N/lN+Wj5h/mp+cz58foW+jr6W/p4+pL6pvq2+sH6x/rJ+sn6xvrC+r76u/q5+rn6vPrA+sb6zvrW+t/65/ru+vT6+Pr6+vr6+fr2+vL67vrq+ub64vrg+t/63/rf+uH64/rm+un67Prv+vH69Pr3+vv6/vsD+wn7EPsY+yL7LPs4+0X7Uvtf+2z7efuE+4/7mPuh+6j7rvuz+7j7vPvA+8X7yfvO+9P72Pve++P76Pvt+/H79fv4+/v7/vwB/AP8BfwI/Ar8DPwO/BD8EfwS/BL8EfwQ/A78DfwM/Av8C/wM/A78EvwX/B38JPwr/DP8O/xB/Ej8TfxS/Fb8Wvxg/Gb8bvx4/IT8k/yl/Ln8zvzl/Pz9FP0q/UD9Vv1q/X79kv2n/b791/3z/hP+Nf5a/oL+q/7U/vz/Iv9E/2P/ff+S/6P/sf+7/8T/zf/W/+D/7P/6AAkAGAAnADMAPQBCAEIAPAAwACAAC//0/93/yP+3/6z/qf+u/73/1f/1ABwASAB2AKUA0gD7AR8BPQFUAWUBbwF1AXgBeAF4AXgBegF+AYQBjQGXAaMBrwG7AcUBzgHUAdcB2AHWAdMBzwHJAcUBwQG+Ab0BvQHAAcQByQHPAdYB3gHlAewB8wH5Af0CAAICAgICAAH8AfYB7wHlAdoBzQHAAbIBpQGYAYwBggF6ASMBHgEbARoBGgEdASEBJgEsATMBOwFDAUwBVAFeAWgBcgF9AYgBlAGhAa0BuQHGAdEB3AHmAe8B9wH+AgUCCwISAhgCIAIpAjQCPwJMAlkCZwJ1AoICjgKZAqECqAKsAq4CrgKuAq4CrgKwArQCuwLFAtMC5AL4AxADKQNEA18DeQOTA6sDwAPTA+MD8QP8BAUEDQQUBBsEIQQnBC4ENQQ8BEQETARUBF0EZQRuBHcEgASLBJUEoQStBLsEyQTYBOcE9gUFBRIFHwUqBTMFOwVBBUYFSgVOBVEFVAVWBVkFWwVdBV0FXAVYBVIFSAU7BSoFFgUABOgEzwS3BKAEjQR8BHEEagRpBGwEdAR/BI0EmwSqBLgEwwTMBNIE1ATUBNAEygTDBLoEsgSqBKIEmwSVBJEEjASIBIUEgQR9BHkEdQRxBG4EawRpBGkEagRsBHAEdQR6BH4EggSFBIUEhAR/BHgEbgRiBFYESAQ7BC4EJAQcBBYEFAQUBBYEGQQeBCQEKQQtBDAEMgQyBDIEMAQvBC0ELQQvBDIEOQRBBEsEWARlBHMEgQSOBJgEoQSmBKgEpwSiBJsEkQSGBHgEagRbBEsEPAQsBBwEDQP+A+8D4QPUA8kDvwO4A7UDtQO5A8IDzgPfA/IEBwQdBDMERgRWBGAEZQRjBFoESgQyBBUD8wPOA6YDfwNZAzUDFQL5AuIC0ALBArYCrgKnAqACmQKRAoYCeQJqAlgCRQIwAhsCBgHzAeEB0gHGAbwBtgGzAbEBsgGzAbUBtgG2AbQBsAGqAaIBmAGMAYABdAFoAV0BUwFMAUcBRAFDAUMBRQFIAUoBSwFMAUoBSAFDAT0BNgEvAScBIQEcARkBGAEYARsBHgEjAScBKwEtAS4BLAEoASIBGwESAQkBAQD6APUA8gDyAPQA9wD6AP0A/wD9APcA7ADbAMQApwCFAF4ANAAI/9v/r/+F/13/Of8Y/vr+3/7G/q3+lf59/mT+SP4s/g397f3M/av9i/1s/U79Mv0Y/QD86fzT/L38p/yP/HX8Wfw5/Bb77/vE+5f7Zvsz+v/6yvqU+l/6Kvn3+cf5mflu+Uf5JPkG+Oz41/jI+Lz4tviz+LT4t/i8+ML4x/jM+M/40PjN+Mf4vviw+J/4i/h0+Fr4Pfge9/332/e295H3afdB9xf27fbC9pf2a/ZA9hX17PXE9Z31d/VT9S/1DfTq9Mj0pvSC9F70OfQT8+zzxfOd83bzUfMt8wry6vLL8rDylvJ+8mfyUfI78ibyEfH78eTxzPG08ZvxgfFn8UzxMPEU8Pfw2/C+8KHwhfBp8E/wOPAj8BLwBO/77/fv9u/68ADwCfAR8BnwH/Ag8B3wFPAF7+/v1O+075Dvau9E7x7u+u7a7r3upO6O7nvuau5Z7kfuMu4b7f/t3+277ZTta+1B7Rfs7+zL7Kzskux+7HDsZ+xi7GDsX+xf7F7sWuxT7EjsOuwn7BHr+Ovd68Dro+uF62jrS+sw6xXq++rj6svqs+qd6ofqc+pf6k3qPOos6h/qEuoH6f3p8+nq6eHp1+nN6cLptumr6Z/pk+mI6X/pd+lx6W3pa+ls6W7pc+l56YHpiemT6Z3pqem16cLpz+ne6e3p++oK6hnqJuoy6jzqROpJ6kzqTepN6kzqTOpO6lLqWupm6nfqjeqm6sPq4usA6x3rNutK61brWutW60jrMusV6vPqzeql6n7qWuo56h7qCen66fHp7unu6fLp9+n96gLqBeoI6gjqCOoG6gTqA+oC6gLqA+oF6gfqCeoK6gjqBen/6fbp6unc6c3pvumw6abpn+mc6aDpqem36crp4On46hDqJ+o76krqVOpY6lbqT+pD6jPqIOoN6fnp5+nX6crpv+m36bLpremq6abpoumd6ZbpjemD6Xfpauld6U/pQuk26SvpIuka6RPpDukK6QjpBukF6QbpB+kJ6QzpD+kU6RrpIOkn6S7pNek86ULpSOlM6VDpUulT6VTpU+lS6VHpUOlO6U3pS+lK6UnpSOlH6UbpROlC6T/pPOk46TTpMOkq6STpHukW6Q7pBuj96PPo6ejg6NfozujI6MPowOjA6MPoyujT6N7o7Oj86QzpHukv6T/pTela6WXpbel06Xjpeul86XzpfOl86Xvpe+l76Xzpfel/6YHphOmH6YvpkOmW6Z7pp+mx6b3pyunZ6ejp+OoI6hjqJuoz6j/qSepQ6lbqW+pe6mHqZOpo6mzqcup66oXqkeqg6rDqwurV6unq/usT6ynrP+tV62vrguub67Tr0Ovt7AzsLexP7HTsmuzA7OjtD+027VztgO2j7cPt4u3+7hfuL+5E7lfuaO547obuk+6f7qvutu7B7s3u2e7l7vLu/+8N7xvvKu8470fvVe9i727vee+D74zvk++a76Dvpe+p767vtO+678Lvy+/V7+Lv8fAC8BbwLfBG8GHwf/Cg8MPw6PEP8TfxYPGK8bPx2/IB8iTyRPJe8nTyg/KM8o7yivJ/8m/yWfJA8iTyB/Hq8c7xtfGf8Y7xgvF78XjxevF/8YfxkfGb8abxr/G28bzxv/HB8cDxv/G98bzxu/G88b/xxfHM8dbx4vHw8f7yDfIc8ivyOPJE8k7yV/Je8mPyZ/Jp8mvybPJs8mzya/Jq8mnyafJo8mjyafJq8m7yc/J68oTykPKg8rLyx/Le8vfzEvMt80nzZPN985bzrPPA89Lz4fPv8/v0BfQQ9Br0JPQv9Dv0SPRW9Gb0d/SJ9J30sfTG9Nz08/UK9SH1OfVR9Wn1gfWZ9bD1x/Xc9fH2BPYW9if2NvZE9lH2XfZp9nX2gPaN9pr2qPa39sf22Pbq9v33EPcj9zb3SPda92z3ffeN9533rve+98/34Pfz+Ab4Gfgt+EH4Vfhp+Hv4jPib+Kj4sfi3+Lr4ufi1+K74o/iX+In4e/ht+GD4VvhP+E34T/hX+GX4ePiR+K34zfju+Q/5L/lM+WT5dfl/+YH5evlq+VH5MvkM+OL4tfiH+Fr4L/gJ9+j3zfe496v3pPej96j3sfe+98333ffu9/74Dvgc+Cn4NPg9+Eb4TfhU+Fv4Yvhq+HP4fviK+Jf4pvi1+Mb41vjm+PX5AvkO+Rb5HPkf+R/5Hfka+RX5EfkN+Qv5DfkS+Rv5Kvk9+VX5cfmQ+bH51Pn2+hf6NvpQ+mf6efqG+o/6lPqV+pT6kvqQ+o76jfqO+pD6lPqa+qL6qfqx+rj6v/rD+sb6yPrH+sX6wvq++rr6t/qz+rH6sPqv+rD6sfqz+rT6tvq3+rf6t/q2+rX6tPqz+rP6tPq2+rr6wPrH+tH63Pro+vb7A/sR+x77Kvs2+0D7SPtP+1b7W/tg+2T7aPts+3D7dPt5+377gvuH+4v7jvuS+5X7l/uZ+5v7nfue+6D7ovuk+6b7p/uo+6n7qfup+6f7pvuk+6L7ofuh+6H7o/un+6z7s/u7+8T7zvvY++H76vvy+/n8APwG/Az8Evwb/CX8M/xE/Fn8cvyP/K780fz0/Rn9Pf1g/YH9n/28/db97v4G/h3+NP5M/mb+gf6e/rz+2/76/xj/NP9O/2P/dv+E/4//l/+c/6H/pf+p/7D/uP/B/8z/2P/k/+//9//7//z/+P/v/+L/0v/B/6//n/+U/43/jv+W/6b/vv/eAAIAKwBWAIAAqADMAOsBBAEWASIBKQEqASkBJgEiAR8BHQEeASIBKAEwATkBQwFMAVUBWwFgAWIBYQFfAVsBVgFRAUwBSAFFAUUBRgFKAU4BVQFcAWQBbAF0AXwBggGHAYwBjwGQAZEBkAGNAYkBhAF+AXYBbgFkAVoBTwFFATsBMgEpAKQAmQCQAIgAgwCAAIAAgwCIAI8AmQCkALEAvwDOAN0A7QD8AQwBGwEqATgBRgFTAV8BawF2AYABigGTAZwBpQGuAbgBwgHMAdgB4wHwAf0CCgIWAiICLQI3Aj8CRgJLAk8CUgJUAlYCWAJcAmECZwJwAnwCigKbAq0CwQLXAu0DAwMZAy0DQQNTA2QDdAOCA5ADnQOpA7UDwQPNA9gD4wPuA/kEAwQNBBUEHgQmBC4ENgQ+BEcEUQRcBGgEdQSDBJIEoASvBL0EygTVBN4E5gTsBPEE9AT2BPcE+AT5BPoE/AT9BP4E/wT/BP4E+wT2BO4E5ATZBMsEvASsBJ0EjgSBBHYEbgRoBGUEZQRnBGoEbwRzBHgEewR9BH0EfAR5BHUEbwRqBGQEXgRZBFQEUQROBEsESgRIBEcERQRDBEIEQAQ+BD0EPQQ+BEAEQwRIBE4EUwRZBF4EYgRkBGQEYARaBFEERgQ4BCoEGwQNBAAD9QPuA+kD6APpA+4D9AP7BAMECwQRBBUEFwQXBBUEEQQMBAcEAgP+A/wD/QQABAYEDwQaBCcENARCBE8EWwRlBGwEcARyBHAEawRkBFsEUQREBDcEKQQaBAwD/QPuA+AD0wPGA7sDsQOqA6UDowOkA6gDrwO5A8QD0APdA+kD8gP5A/wD+wP1A+kD2QPEA6sDkAN0A1YDOgMgAwgC8wLhAtMCxwK+ArYCrwKnAp4CkwKFAnUCYwJNAjcCHwIHAfEB3AHJAbsBrwGoAaUBpAGnAawBsgG4Ab0BwAHCAcEBvQG2Aa4BowGXAYsBfwF1AWwBZgFiAWEBYgFlAWoBbgFyAXYBdwF2AXMBbAFjAVgBSwE9AS8BIQEUAQkBAAD4APMA7gDrAOgA5ADeANcAzQDBALMAowCSAIAAbgBeAE8AQgA5ADIALQArACkAKQAoACUAIAAYAAz//f/q/9T/uv+f/4P/Zv9K/y//Ff78/uX+zv65/qP+jf52/l3+Q/4m/gf95/3G/aT9gv1h/UD9If0D/Of8zPyy/Jf8ffxh/EP8I/wA+9r7sfuE+1T7Ivru+rj6gvpN+hj55fm1+Yf5Xfk2+RP49PjY+MD4rPib+I34g/h7+HX4cfhv+G34bfht+G74bfhs+Gr4Z/hh+Fn4TvhB+DD4HfgF9+r3zPer94f3YPc39w324fa29or2X/Y19g315vXA9Zz1efVX9Tb1FPTy9M70q/SF9F/0OPQQ8+nzwfOa83TzUPMt8w3y7vLQ8rTymfJ/8mXyTPIy8hjx/fHj8cjxrvGV8XzxZPFN8TfxIfEL8PXw3/DH8K/wlvB88GLwSPAu8BbwAO/t797v0u/K78bvxO/F78fvye/J78fvwu+476rvmO+B72fvS+8t7w/u8u7X7r3up+6S7oDucO5f7k/uPe4o7hHt9u3X7bXtke1s7UbtIOz97Nzsv+yn7JPshOx57HDsauxm7GHsXOxU7ErsPewt7BrsBOvr69HrteuY63vrX+tE6ynrEOr46uLqzeq66qfqluqG6nbqZ+pZ6krqPOou6h/qEOoB6fHp4unS6cPptOmm6Zrpj+mH6YDpe+l56Xnpeul96YHphumL6ZHpl+md6aTprOm06b3pyOnT6eHp7+n+6g7qHuou6j3qS+pX6mLqa+pz6nvqg+qM6pfqpeq16sjq3ur36xLrLetI62HrduuG65HrlOuQ64Xrc+tb6z/rIOsA6t/qweql6o3qeupr6mDqWupW6lXqVupY6lrqXOpd6l7qX+pg6mHqY+pm6mjqa+pu6nDqcOpu6mjqYOpU6kTqMuoe6gnp9Onh6dLpxunB6cHpx+nT6eTp+OoP6ifqPupT6mTqcep46nnqdupt6mHqUupB6jDqH+oP6gDp9Onp6eDp2OnQ6cjpwOm36a3poumW6YnpfOlu6WLpVulL6ULpOuk06S/pLOkq6SjpKOkn6SjpKOkp6SrpLOkv6TLpNuk76UDpRelL6VHpVulb6V/pYull6WbpZ+lm6WXpZOli6WDpXelb6VnpV+lV6VLpUOlO6UvpSOlE6UDpPOk36TLpLOkm6SDpGekT6Q3pB+kD6P/o/Oj76Pvo/ukC6QnpEukc6SnpNulF6VXpZOl06YLpkOmd6ajpsum66cHpyOnN6dLp1+nc6eHp5uns6fLp+On+6gTqCeoP6hTqGeoe6iLqJuor6jDqNeo66kDqRupM6lLqWepg6mbqbepz6nnqgOqH6o7qluqe6qjqs+rA6s3q3Ors6vzrDesf6zDrQetS62PrdOuE65Trpeu268jr2+vw7AfsIOw67FfsdeyV7Lbs1+z47RntOu1Y7XXtkO2p7b/t0+3l7fXuBO4S7h7uK+447kbuVO5j7nPuhO6W7qnuvO7P7uHu8+8D7xLvH+8r7zXvPe9E70vvUO9W713vZO9s73XvgO+N75vvqu+7787v4e/28AvwIfA48FHwavCE8KDwvfDb8PrxG/E78VvxevGY8bPxyvHe8e3x9/H88fvx9fHr8d3xzPG58abxkvGB8XLxZvFd8VnxWPFa8WDxaPFy8X3xiPGS8ZzxpPGq8a/xs/G28bjxuvG88b7xwvHG8cvx0vHZ8eDx6PHw8fjx//IF8gvyEfIW8hvyIPIm8izyM/I68kLySvJS8lnyYPJm8mvybvJw8nHycPJw8nDycPJy8nXye/KE8o/ynfKt8r/y0/Lo8v7zE/Mo8zvzTvNf82/zffOL85jzpfOx877zzPPa8+jz9/QG9Bb0JfQ19ET0U/Ri9HL0gfSS9KP0tfTK9N/09vUO9Sj1QvVd9Xj1kvWs9cT12/Xx9gX2GfYr9j72UPZj9nf2jPah9rj20Pbo9wD3GPcw90b3W/dw94L3lPel97X3xvfX9+r3//gV+C74Sfhl+IP4ofi/+Nv49PkJ+Rr5Jfkq+Sj5IPkR+P344/jG+Kf4h/hn+Er4Mfge+BH4C/gO+Bn4LPhH+Gj4jvi5+OX5Efk7+WH5gfmZ+an5r/mr+Z35hflk+Tz5D/je+Kv4ePhI+B339/fZ98P3tvex97X3wffS9+n4A/gg+D34Wfhy+In4nPir+Lb4vvjD+Mb4x/jJ+Mz40PjX+OD47Pj7+Q35IPk0+Uj5Wvlr+Xj5gfmH+Yn5hvmB+Xn5cPlm+V75WPlV+Vf5Xfln+Xb5ifmf+bj50vnr+gT6Gvot+j36SvpT+lj6XPpd+l36Xfpe+l/6Yvpn+m36dfp9+ob6jvqW+pz6oPqj+qT6o/qg+p36mfqV+pH6jvqN+oz6jfqO+pD6kvqU+pb6lvqV+pL6j/qK+oX6gPp7+nf6dfp0+nX6efqA+oj6kvqe+qr6t/rE+tH63fro+vH6+vsC+wn7D/sV+xr7H/sk+yn7Lvsy+zb7Ofs8+z37Pvs++z77Pfs8+zz7O/s7+zv7PPs++z/7QftD+0T7RftF+0T7Q/tB+0D7P/s/+0D7Q/tI+077V/th+237efuG+5T7ofut+7n7xPvQ+9z76fv5/Ar8IPw5/Fb8ePyd/MX87/0b/Ub9cf2Z/b793/38/hX+Kv47/kr+V/5j/m/+e/6H/pX+pP60/sP+0/7i/u/++/8G/w//Fv8d/yP/Kf8w/zj/Qv9M/1j/Y/9v/3n/gv+I/4z/i/+I/4L/ev9w/2j/YP9c/1z/YP9r/3z/kv+t/8v/7AAOADAATwBrAIIAlQCjAKsArwCwAK8ArACoAKYApACkAKYAqQCtALIAtwC7AL4AvwC+ALsAtwCyAKwApQCgAJsAmACXAJkAnAChAKgAsAC5AMIAywDTANsA4wDpAO4A8wD3APoA/AD+AP8A/gD9APoA9gDvAOgA3wDUAMkAvACwAB0AC//7/+z/4f/Z/9X/1f/Z/+H/7P/6AAoAHAAuAEEAVABnAHgAiQCZAKcAtQDCAM4A2gDmAPIA/gEKARYBIwEwAT0BSgFYAWUBcgF/AYsBlwGiAawBtQG9AcQBygHPAdMB1wHbAd4B4gHmAewB8wH6AgQCDgIbAigCNwJHAlgCaQJ7Ao0CoAKzAsYC2gLtAwEDFQMpAzwDUANiA3QDhQOUA6IDrgO5A8IDyQPRA9cD3QPkA+sD9AP+BAkEFgQkBDIEQgRRBGAEbgR7BIUEjgSVBJoEnQSeBJ8EoASgBKAEoQSiBKQEpgSoBKoEqwSsBKoEqASjBJ0ElQSMBIIEdwRsBGIEWARPBEcEQQQ7BDYEMgQuBCoEJgQhBBwEFwQRBAwEBgQBA/0D+QP3A/UD9QP1A/cD+AP7A/0D/wQCBAQEBgQJBAwEDwQTBBcEHAQiBCgELgQzBDYEOQQ5BDYEMQQpBB8EEgQEA/UD5gPXA8oDwAO5A7QDswO1A7oDwQPJA9ED2QPfA+QD5gPmA+MD3gPXA88DxwPAA7oDtwO2A7gDvQPFA9AD3APqA/gEBgQUBB8EKAQvBDIEMwQxBCwEJAQbBBAEAwP2A+gD2gPMA78DsgOnA54DlgOQA40DiwOMA48DlAOaA6ADpwOtA7IDtAO0A7EDqwOhA5MDgwNwA1wDRgMwAxsDBwL1AuUC2ALNAsQCvAK0AqwCpAKZAowCfAJpAlMCOwIhAgYB6wHRAbkBpAGTAYYBfgF6AXoBfwGFAY4BmAGhAakBrwGyAbMBsAGrAaMBmQGPAYUBewF0AW4BawFsAW8BdAF7AYMBigGRAZYBmAGWAZEBiAF7AWsBWAFEAS4BGAECAO4A3ADMAL0AsACkAJkAjQCBAHMAYwBQADwAJQAM//L/2P+//6b/kf9+/27/Yv9a/1X/Uv9S/1P/Vf9W/1b/Vf9S/03/Rf87/y//Iv8T/wT+9P7i/tH+vv6r/pb+gP5o/k/+M/4W/ff91v21/ZL9cP1N/Sz9C/zr/Mz8rfyP/HH8U/wz/BL77vvI+6D7dftH+xf65fqy+n76S/oZ+ej5ufmN+WP5PfkZ+Pn42/jA+Kf4j/h6+Gf4VPhE+DX4KPge+BX4DvgK+Aj4CPgK+A34EfgU+Bf4F/gV+A/4Bff39+P3y/et94v3Zfc89xH25Pa29on2XfYz9gr14/W/9Zv1efVY9Tb1FfTy9M70qfSC9Fr0MvQJ8+DzuPOR82zzSPMm8wXy5vLJ8qvyj/Jy8lXyOPIa8fzx3vHA8aPxhvFs8VTxPfEo8RXxBPDz8OPw0fC+8Krwk/B68F/wQvAk8Abv6O/N77Tvnu+N74Dvd+9y73Dvce9z73Tvde9z727vZu9a70vvOe8k7w7u9u7f7sjus+6f7o3ufO5s7l3uTO477ifuEe357d3tv+2f7X3tW+057Rjs+ezd7MTsr+yc7I3sgOx27GzsYuxY7E3sQOwx7B/sC+v1693rw+up647rdOta60LrK+sW6wLq8Org6tDqwuqz6qXqluqG6nXqY+pQ6jvqJuoQ6frp5enQ6b3prOme6ZLpiumE6YLpgumE6YjpjemT6Znpnumj6afpqumt6a/psem06bjpvunG6c/p2+nq6frqC+oe6jHqROpX6mnqe+qM6pzqrOq96s/q4ur26wvrIus761Pra+uC65frqOu167zrvuu667DroeuN63brXOtB6ybrDOr16uDqzurA6rXqruqp6qfqpuqn6qnqrOqv6rLqteq56r7qwurH6svqzurQ6tDqzurI6r/qs+qj6o/qeeph6knqMeob6gjp+unx6e3p7+n36gPqFOon6jzqUepk6nXqg+qN6pLqk+qQ6onqf+pz6mbqWOpK6jzqL+oi6hbqCun+6fLp5enY6cvpvemv6aLplOmH6Xvpcelo6WDpWulW6VLpT+lN6UvpSelH6UXpQ+lB6T/pPuk+6T7pQOlD6UfpTelT6VnpYOln6W7pdOl56X3pf+mA6YDpf+l96Xrpd+lz6XDpbelq6WfpZelk6WPpYuli6WLpYulj6WPpZOlk6WPpY+li6WDpX+ld6VzpW+lZ6VnpWela6VzpYOlk6WrpcOl46YDpiemT6Zzppumv6bnpwunL6dTp3Onl6e7p+OoB6gvqFuoh6i3qOOpE6k/qWupk6m3qdep86oLqh+qK6ozqjuqP6pDqkOqR6pLqlOqW6prqnuqk6qvqs+q96sfq0+rg6u3q++sK6xjrJ+s160PrUetd62nrdet/64rrlOud66jrs+u/68zr2uvq6/zsD+wl7DvsU+xr7ITsney17Mzs4uz37QrtHO0s7TvtSe1W7WPtce1/7Y7toO2y7cft3u327hDuKu5F7mDuee6R7qfuuu7L7tju4+7r7vHu9e747vru/O7/7wTvC+8U7x/vLe8+71HvZe9875Tvre/G7+Dv+vAU8C/wSfBk8H/wm/C28NHw7PEG8R/xNfFK8VvxaPFy8XfxePF18W/xZfFZ8UvxPfEw8STxGfES8Q7xDvEQ8RfxIPEr8TjxR/FV8WPxcfF98YjxkvGb8aLxqfGv8bXxu/HB8cfxzfHU8dvx4fHn8ezx8fH08fbx+PH68fzx/vIB8gXyCvIR8hryJfIw8j3ySfJW8mHya/Jz8nnyfPJ98nzyevJ28nLybvJr8mnyafJr8nDyd/KA8oryl/Kl8rPywfLQ8t/y7vL98wvzGvMq8zrzSvNc823zgPOS86PztPPE89Lz3vPp8/Lz+vQB9Aj0D/QX9CD0LPQ79E30YvR69JX0svTR9PH1EfUx9VH1b/WN9an1xfXg9fv2FfYx9k32a/aJ9qj2x/bm9wX3Ivc+91j3cPeF95j3qve798v33ffw+AX4Hvg6+Fn4fPih+Mj47/kU+Tf5Vvlu+X/5iPmH+X35avlO+Sv5AvjU+KT4dPhG+Bz3+Pfb98f3vPe798X31/fz+Bb4P/hs+Jz4zfj8+Sj5T/lw+Yj5mPmf+Zv5jvl5+Vz5N/kO+OL4tfiI+F74Ofga+AP38/ft9+/3+vgM+CX4Qvhi+IT4pvjG+OL4+/kO+R35Jvkr+Sz5K/ko+SX5I/kj+SX5K/k1+UH5Ufli+XT5h/mY+af5s/m7+b/5wPm9+bf5r/ml+Zz5k/mN+Yn5iPmL+ZH5m/mn+bb5xfnV+eT58vn/+gn6EfoY+h36Ifok+if6K/ov+jX6PPpE+k36V/pg+mn6cvp5+n76gfqD+oP6gvp/+n36evp4+nf6d/p4+nr6ffqA+oP6hvqI+oj6hvqD+n/6efpx+mr6Yvpb+lX6UfpQ+lD6U/pY+l/6aPpy+n36iPqT+p76p/qw+rj6v/rF+sv60frW+tv64Prl+ur67frw+vL68/rz+vL68Prt+un65fri+t/63frc+t363vrh+uT66Prs+u/68vr0+vX69fr1+vX69Pr1+vb6+vr/+wf7Evsf+y77P/tR+2X7efuN+6L7tvvL+9/79fwL/CT8P/xc/Hz8n/zF/Oz9Ff09/WX9i/2u/c395/38/gz+F/4d/h/+Hv4c/hj+FP4Q/g/+D/4S/hf+Hv4n/jL+Pv5L/ln+Z/52/oX+lf6k/rT+xf7V/uT+8/8B/w7/Gf8h/yj/LP8t/y7/LP8r/yr/Kv8r/zD/N/9C/1H/Yv92/4z/ov+6/8//5P/2AAUAEQAaACAAJAAmACYAJgAmACYAJgAoACkAKgAsACwALAAqACcAIgAbABMACwAC//n/8v/s/+f/5f/l/+j/7f/z//sABAAOABgAIQArADQAPABFAE0AVQBcAGQAawByAHgAfQCBAIIAgQB9AHYAbQBgAFEAQQAv/8H/rP+Z/4j/e/9x/23/bf9x/3r/hv+W/6j/u//P/+P/9gAIABgAJwA1AEIATQBYAGQAbwB7AIgAlgCkALQAxQDVAOcA9wEIARcBJgEzAT8BSgFTAVsBYQFnAWwBcQF1AXkBfQGCAYYBjAGSAZgBoAGnAbABuQHDAc0B2QHlAfICAQIQAiECMgJGAloCcAKGAp4CtQLOAuUC/AMSAycDOgNLA1kDZQNwA3gDfwOFA4sDkQOXA54DpwOxA7wDygPYA+gD+AQHBBcEJQQyBD0ERgRNBFIEVQRXBFgEWQRZBFoEWwRcBF8EYgRlBGkEbARuBG8EbwRuBGoEZQReBFYETARCBDcEKwQgBBYECwQCA/gD8APoA+AD2QPSA8sDxQO/A7kDtAOwA60DqwOrA6sDrAOvA7IDtgO7A8ADxQPKA88D1APZA94D4wPpA+8D9QP7BAAEBQQJBAwEDQQMBAkEAwP7A/AD5APWA8gDuQOrA58DlAOMA4cDhQOFA4gDjQOTA5oDoAOmA6oDrQOtA6sDpwOiA5sDlAONA4cDgwOBA4IDhgONA5YDogOwA74DzgPdA+oD9gQABAcECwQLBAgEAwP7A/AD4wPWA8cDuQOqA50DkQOHA34DeQN1A3QDdQN4A30DgwOJA5ADlgObA54DngOcA5cDjwOEA3YDZwNVA0MDMAMdAwwC/ALtAuEC1gLMAsQCvAK0AqsCoAKTAoMCcQJbAkQCKgIOAfMB1wG9AaYBkQGBAXUBbQFqAWsBbwF1AX4BhgGPAZYBnAGeAZ4BnAGWAY8BhgF9AXQBbAFnAWMBYgFlAWkBcAF5AYIBiwGTAZgBmgGZAZMBiQF7AWgBUwE7ASIBCADuANUAvgCpAJYAhAB1AGYAWABJADkAJwAU//7/5v/M/7D/k/92/1r/QP8o/xT/A/73/u7+6v7p/uv+8P72/v3/BP8K/w7/Ef8R/w//C/8D/vn+7f7e/s3+uv6l/o7+dv5b/j7+IP4B/eD9v/2d/Xr9WP02/RT88/zS/LL8k/xz/FT8M/wS++/7y/uk+3z7Uvsm+vj6yvqb+mz6PfoQ+eT5ufmR+Wv5Rvkj+QL44vjD+KX4iPhr+E/4NPgb+AP37vfc9833w/e897n3u/fA98j30ffc9+b37/f19/b38/fr99z3xver94v3Zfc89xD24va09ob2WvYv9gf14PW89Zr1ePVX9Tf1FfTy9M70qfSC9Fn0MfQI89/zt/OR82zzSfMo8wny7PLP8rPyl/J68l3yP/Ig8gDx3/G/8aDxgvFl8UvxMvEd8Qnw9/Dn8NfwxvC18KHwjPB08FnwPfAe7//v4O/C76fvj+9672vvYO9Z71bvV+9a717vYu9l72XvY+9d71TvR+837yTvD+757uPuzu657qbulO6D7nPuY+5T7kLuMO4b7gTt6+3P7bHtke1x7VHtMe0T7Pbs3OzF7LDsn+yP7IHsdOxo7FzsT+xA7DDsHuwL6/Xr3+vH66/rlut+62frUes96yrrGOsI6vjq6era6srqueqn6pTqf+pp6lHqOeog6gjp8enb6cjpuOmq6aDpmumX6Zfpmeme6aPpqemw6bXpuum96cDpwenB6cDpwOnB6cLpxunL6dPp3enq6fnqCuoc6jDqROpZ6m7qg+qY6q7qw+rZ6u/rBusd6zXrTutm637rlOun67jrxOvM68/rzevF67jrp+uS63vrYutI6y/rGOsD6vLq4+rZ6tLqz+rO6tDq0+rY6t7q5Orq6vDq9er66v7rAusF6wfrB+sG6wPq/er16uvq3erN6rvqp+qT6n7qaupX6kfqO+oy6i7qLuoz6jvqR+pV6mXqdeqF6pTqoeqr6rLqtuq36rXqsOqp6qDqluqL6n/qcupk6lbqSOo56irqG+oL6fzp7Ond6c/pwem16anpoOmX6ZDpiumF6YDpfOl36XPpb+lq6WXpYOlb6VfpU+lR6VDpUelU6VjpXulm6W7pd+mB6YrpkumZ6Z/po+ml6aXppOmg6Zzpl+mR6YzphumB6X3pe+l56Xrpe+l+6YPpiOmO6ZXpnOmj6arpsOm16bnpu+m96b3pvOm66bfptOmw6a3pq+mp6afpqOmp6azpsOm26b3pxOnN6dfp4enr6ffqAuoO6hrqJuoz6kDqTupc6mrqeOqH6pXqo+qw6rzqxurP6tfq3Org6uLq4urg6t7q2+rY6tXq0urR6tHq0urW6tzq5Ort6vnrBusU6yPrMutB60/rXetp63Xrf+uH64/rleub66Hrpuus67PrvOvF69Hr3evs6/zsDewe7DDsQuxT7GPscex+7Inskuya7KDspeyp7K7stOy77MXs0uzh7PXtDO0m7UTtZO2H7avtz+3y7hTuNO5Q7mnufu6O7pruo+6o7qruqu6p7qjuqO6p7q3us+687sju1+7q7v/vF+8x703vau+H76bvxe/k8ATwI/BC8GHwf/Cd8Lnw0/Dr8QHxE/Ei8S3xNPE28TXxL/En8RvxDvEA8PLw5fDa8NHwzPDK8Mvw0PDZ8OXw8/EC8RPxJPE18UbxVvFl8XTxgfGN8ZnxpPGv8brxxPHP8dnx4/Hr8fPx+fH+8gHyA/IE8gPyA/IC8gHyAvIF8gnyD/IX8iLyLvI78knyV/Jk8nDyefKB8oXyiPKH8oXygPJ78nXyb/Jp8mXyYvJh8mHyZPJo8m7ydfJ98obykPKa8qbys/LA8tDy4PLy8wXzGvMv80XzWvNv84LzlPOj87DzuvPB88XzyPPK88vzzfPR89fz4PPs8/30EfQo9EP0YfSA9KH0wvTk9QX1JfVF9WT1g/Wj9cL15PYG9ir2T/Z29p32xfbr9xH3NPdU93H3i/eh97T3xffV9+X39vgK+CH4PPhc+ID4qPjT+QD5LflY+X/5oPm4+cf5yvnD+a/5kPlo+Tb4//jD+Ib4SvgS99/3tPeT93z3cPdv93j3i/en98n38Pgc+En4dfih+Mn47PkK+SL5M/k8+T75Ofkt+Rv5BPjp+Mv4q/iL+G34Uvg6+Cj4HfgX+Bn4Ivgx+EX4Xvh7+Jn4t/jV+PD5B/kb+Sn5M/k4+Tn5Nvkx+Sv5Jvkh+R75H/ki+Sn5Mvk/+U35Xflt+X35i/mW+Z/5pfmo+an5p/mj+Z75mPmT+Y/5jfmM+Y35kfmW+Z35pfmt+bb5v/nH+c/51/nd+eT56vnw+ff5/voF+g36Ffoe+if6L/o3+j36Q/pH+kv6TfpO+k76TvpO+k/6UPpT+lb6Wvpf+mT6avpv+nP6dfp2+nb6c/pu+mj6YfpZ+lL6S/pF+kL6QPpA+kP6SPpP+lj6Yfpr+nX6fvqH+o76lfqa+p76oPqj+qT6pvqn+qn6qvqr+qz6rfqt+qz6q/qo+qX6ofqd+pj6lPqR+o/6j/qQ+pL6lvqc+qL6qfqw+rb6vPrA+sT6xvrH+sn6yvrM+tD61vrf+uv6+vsM+yL7OvtV+3H7jvur+8j75Pv//Bn8MvxL/GP8fPyV/K/8yfzl/QL9H/07/Vf9cf2J/Z39rf25/cD9w/3A/br9sf2m/Zn9jP2A/Xb9bv1p/Wn9bP1y/X39iv2b/a79w/3Z/fD+CP4f/jb+TP5h/nT+hv6W/qX+sf67/sT+y/7R/tb+2/7f/uT+6f7w/vf/AP8L/xb/I/8x/z//TP9a/2b/cf97/4P/iv+Q/5X/mf+d/6D/pP+n/6v/r/+y/7X/t/+3/7f/tP+w/6r/o/+b/5L/if+B/3n/c/9u/2z/a/9t/3H/dv98/4T/jP+V/53/pv+u/7f/wP/J/9L/3f/n//P//gAJABQAHQAlACoALAAqACQAGwAO//3/6v/W/4P/cP9e/0//RP89/zv/Pv9F/1H/YP9y/4X/mv+u/8L/1P/l//QAAQANABcAIAAqADMAPQBJAFYAZAB0AIUAlwCqAL0AzwDgAPAA/wEMARcBIAEnAS0BMgE3AToBPgFDAUgBTQFUAVsBYwFsAXUBfgGIAZIBnAGmAbEBuwHGAdIB3gHsAfsCCwIcAi8CQgJXAm0CgwKYAq4CwgLVAucC9gMEAxADGQMiAykDLwM1AzsDQQNIA1EDWwNnA3QDgwOSA6EDsQPAA80D2gPlA+0D9AP5A/wD/QP+A/4D/gP+A/8EAQQDBAcECwQPBBQEGAQbBB4EHwQeBBwEFwQRBAkEAAP2A+sD4APVA8oDvwO2A60DpQOdA5cDkQOMA4cDgwN/A30DegN4A3cDdwN3A3gDegN9A38DgwOHA4sDjwOTA5gDnAOhA6YDrAOxA7cDvAPCA8gDzgPSA9YD2APZA9gD1QPQA8kDwAO1A6oDngOSA4cDfQN1A28DagNpA2kDawNuA3IDdwN7A38DggOEA4QDgwOBA30DegN2A3QDcgNzA3UDegOCA4wDmAOlA7QDxAPTA+ID7wP6BAIECAQKBAgEBAP8A/ID5QPXA8gDuAOpA5oDjQOCA3kDcgNuA2wDbANvA3IDdwN8A4EDhgOIA4kDiAOEA30DdANpA1sDTAM7AyoDGAMIAvgC6QLcAtACxgK9ArUCrQKkApsCkQKFAnYCZgJTAj4CKAIQAfkB4gHMAbcBpgGYAY0BhQGCAYEBgwGGAYsBkQGWAZoBnQGeAZ0BmQGUAY0BhgF+AXYBcAFrAWgBaAFqAW4BcwF6AYIBiAGOAZEBkgGPAYgBfQFvAV0BSAExARkBAADoANEAuwCnAJUAhQB2AGkAXQBQAEIAMwAiAA//+v/i/8j/rf+R/3X/Wv9C/yv/GP8J/v7+9/7z/vP+9v78/wL/Cv8R/xb/G/8d/xz/GP8R/wf++f7o/tX+v/6m/ov+b/5Q/jD+D/3u/cz9qf2G/WP9QP0e/Pz82/y6/Jr8efxZ/Dn8GPv3+9X7svuO+2n7Q/sd+vb6zvqm+n/6WPox+gv55vnB+Z35eflV+TH5Dfjo+MP4nfh3+FL4LfgK9+r3zPez9573jveE9373fveC94r3lPeg96v3tfe897/3vfe296j3lPd691v3N/cQ9uf2vPaR9mf2P/YZ9fT10vWy9ZP1dfVX9Tn1GfT49NX0sPSK9GL0OvQR8+nzwvOd83rzWfM78x7zA/Lp8tDyt/Kd8oLyZvJI8iryCvHq8cnxqfGK8W3xUvE48SHxDPD48OXw0/DA8KzwmPCB8GnwT/A18Bnv/u/j78vvtO+h75Lvh+9/73vvee9673zvfu9/737ve+9172zvX+9Q7z7vKu8V7wDu6+7W7sLusO6f7o7uf+5v7l7uTe457iTuDO3y7dbtt+2Y7XjtV+037Rns/ezj7Mvst+yl7JXsh+x67G7sYuxV7EfsOOwn7BXsAevs69brv+uo65Hreutl61DrPOsp6xfrBOry6uDqzuq66qbqkep76mXqTuo46iLqDun76erp3OnR6cjpwum/6b7pv+nB6cTpyOnM6c/p0unU6dXp1unX6djp2unc6eDp5ens6fTp/uoK6hfqJuo16kXqVupo6nnqjOqf6rPqyerf6vfrEOsp60TrXut464/rpeu368XrzuvR687rxuu466Xrjut061jrO+sf6wXq7urb6szqw+q+6r7qwerJ6tLq3urq6vbrAusM6xXrHOsh6yTrJesk6yLrHusZ6xLrCusB6vfq7Org6tPqx+q66q3qoeqW6o3qhuqB6n7qfuqB6obqjeqW6p/qquq16r/qyOrQ6tbq2+rd6t7q3OrZ6tPqzOrD6rnqreqh6pPqhOp16mXqVepF6jXqJeoW6gfp+unu6ePp2enQ6cjpwem76bTprumo6aLpm+mU6Y7piOmC6X3peul46Xfpeel96YLpiemR6ZrppOmt6bfpv+nG6cvpz+nQ6dDpzenJ6cPpvem16a7pp+mh6ZzpmemX6Zfpmeme6aTpq+m06b7pyOnS6dzp5enu6fTp+un96f/p/+n96frp9uny6e7p6enm6ePp4unj6ebp6unx6fnqA+oO6hrqKOo16kPqUepf6m3qe+qI6pbqo+qw6r3qyerW6uLq7ur56wPrDOsT6xnrHOse6x3rG+sW6xHrCusD6vzq9urx6u7q7urv6vTq++sF6xHrH+sv6z/rUOth63Hrf+uM65froOun663rsuu167nrvevB68frzuvX6+Lr7uv77ArsGewo7DbsQuxN7FXsWuxd7FzsWexU7E7sR+xB7DzsOew67D7sSOxW7Grsg+yh7MPs6O0R7TrtY+2M7bLt1u317hHuJ+457kfuUO5W7lruXO5d7l3uX+5i7mjucO567ojume6t7sPu2+727xLvL+9N72zvjO+s783v7fAN8C3wTfBq8IfwofC48M3w3vDr8PXw+vD78Pnw8/Dr8OHw1vDK8L/wtvCv8KrwqPCq8K7wtvDB8M3w3PDs8P3xDvEf8THxQvFS8WPxc/GD8ZPxo/Gy8cLx0fHf8e3x+PID8gvyEvIW8hnyGvIZ8hjyFvIU8hPyFPIW8hvyIvIr8jbyQ/JQ8l7ybPJ58oXyj/KW8pvynfKd8pvyl/KS8o3yh/KC8n3yefJ38nbydvJ38nryfvKE8orykvKb8qbysvLA8tDy4vL18wrzIPM2803zYvN384nzmfOn87LzufO/88PzxfPH88rzzfPT89zz6PP39Ar0IPQ59FT0cPSO9Kz0yfTm9QP1H/U69Vb1c/WR9bL11PX69iL2TPZ49qb20/b/9yn3UPdz95L3rPfD99X35vf1+AX4Fvgr+EX4ZPiJ+LP44/kW+Uv5f/mw+dz6APoZ+iX6JPoV+ff5y/mU+VP5C/i++HH4Jvfg96L3bvdF9yn3GfcW9x73MfdM9273lPe89+b4Dvgz+FT4cfiI+Jr4pvis+K34qvii+Jb4iPh3+GX4UvhA+C74H/gS+Aj4Aff/+AL4CPgU+CL4NfhK+GH4efiQ+Kb4uvjM+Nr45fjr+O/47/ju+Or45vji+OD43/jg+OT46vj0+QD5Dvkd+Sz5PPlL+Vn5Zflv+Xf5fPl/+YH5gfmA+X75ffl7+Xr5evl6+Xz5f/mC+Yf5jPmT+Zn5oPmo+bD5ufnB+cr50vnb+eL56fnw+fX5+vn9+f/6AfoB+gH6AfoB+gL6A/oF+gn6DvoU+hv6I/or+jL6Ofo/+kP6RPpE+kL6Pvo4+jL6K/ol+h/6G/oa+hr6Hvok+iz6N/pD+lD6Xfpq+nb6gPqI+o/6k/qV+pX6k/qQ+o36ifqE+oD6e/p3+nT6cPps+mj6Zfph+l36WfpW+lP6UvpR+lP6VfpZ+l/6Zvpu+nf6gPqI+pD6l/qd+qL6pvqq+q/6tPq6+sP6z/rf+vL7Cfsk+0P7ZPuI+6z70Pv0/Bb8NPxQ/Gn8fvyQ/J/8rPy4/ML8zPzW/OH87fz6/Qf9FP0h/Sz9Nv0+/UP9Rf1E/UD9Of0w/Sb9Gv0P/QX8/Pz3/PT89Pz5/QH9Df0c/S79Qv1Y/W/9hv2d/bT9yf3d/e/+AP4O/hv+J/4x/jr+Q/5L/lL+Wv5i/mv+dP59/of+kf6c/qf+sf67/sT+zf7V/tz+4/7o/u7+8/74/vz/Af8H/wz/Ev8Y/x7/JP8p/y3/L/8x/zH/MP8u/yr/Jv8h/xz/GP8V/xP/Ev8T/xX/GP8d/yP/Kf8v/zb/PP9D/0j/Tv9U/1v/Yv9q/3T/f/+L/5j/pv+0/8H/zf/Y/9//4//j/+D/1//M/7z/qv+X/zb/Jf8W/wr/Av7+/v//BP8P/x3/L/9D/1n/b/+F/5r/rf++/83/2v/l/+7/9///AAgAEQAcACcANABDAFMAZAB1AIcAmACoALYAwwDPANgA4ADnAO0A8gD2APsBAAEGAQ0BFgEfASkBNAFAAU0BWQFmAXIBfgGJAZUBoAGqAbUBwQHMAdkB5gH0AgICEgIiAjICQgJRAmACbQJ6AoUCjgKWAp0CowKpAq4CtAK6AsECyQLTAt8C7AL6AwoDGQMqAzkDSANVA2ADagNxA3UDeAN4A3cDdANxA24DbANqA2kDaQNrA24DcgN2A3sDgAOFA4gDiwOLA4sDiAOEA34DdwNwA2cDXwNXA08DSANCAz0DOQM3AzUDNAMzAzQDNAM2AzcDOAM6AzsDPQM/A0ADQgNEA0UDRwNJA0oDTANOA1ADUgNVA1gDXANgA2UDawNxA3gDfwOGA4wDkgOXA5sDnQOdA5sDmAOUA44DhwN/A3cDcANpA2IDXgNaA1gDWANZA1sDXQNgA2QDZwNqA2wDbgNvA3EDcQNzA3UDeAN8A4IDiQOSA54DqgO4A8cD1wPmA/UEAgQNBBYEHAQfBB8EGwQVBAwEAAPzA+UD1QPFA7YDpwOaA44DgwN6A3QDbgNqA2cDZANiA18DXANXA1EDSQNAAzQDJwMZAwoC+QLpAtgCyAK5AqsCngKTAokCgQJ6AnMCbQJnAmACWQJQAkYCOgItAh8CEAH/Ae8B3gHPAcABtAGpAaABmgGWAZQBlAGWAZgBmwGeAaABogGjAaIBoQGeAZsBlwGTAY8BjAGJAYgBiAGKAYwBjwGSAZUBlwGYAZcBkwGMAYMBdwFoAVcBRAEwARsBBgDyAN8AzQC9AK8AowCYAI0AgwB5AG0AYABRAEAALQAX////5v/L/7D/lv99/2b/Uf9A/zL/KP8h/x7/Hf8e/yH/Jf8p/yv/Lf8s/yn/I/8a/w3+/v7r/tX+vP6h/oT+Zf5F/iP+AP3c/bj9lP1w/Uv9J/0D/OD8vfya/Hj8V/w2/BX79fvV+7X7lft2+1f7OPsa+vv63fq/+qH6g/pl+kf6J/oI+eb5xPmg+Xr5Uvko+P340Pij+HX4SPgd9/T3zvet95D3ePdm91n3UfdN9033UPdU91n3XPdd91v3VfdK9zv3J/cP9vL20/ay9o/2bPZK9in2CvXs9dD1tvWd9YX1bfVT9Tn1HPT+9N30ufST9Gz0RfQc8/XzzvOq84fzaPNK8y/zFvL/8ujy0vK78qPyi/Jw8lTyN/IY8fnx2fG58ZvxffFh8UfxLvEX8QHw7fDZ8MXwsPCc8IbwcPBZ8ELwKvAU7/7v6u/Y78jvu++w76jvou+d75nvlu+S743vhu9+73TvZ+9Z70nvN+8l7xLvAO7t7tzuyu667qrume6J7nfuZO5P7jjuH+4E7ebtx+2m7YTtYu1B7SLtBOzo7M/sueym7JXshux57G7sY+xY7EzsQOwy7CPsEuwA6+zr1+vC66vrlet+62frUes86ybrEur+6unq1urC6q7qm+qI6nXqY+pR6kDqMOoi6hXqCuoB6fnp8unt6erp5+nm6eXp5Onk6eXp5uno6erp7enw6fXp++oC6grqEuoc6ibqMOo66kTqTupY6mHqa+p16oDqjOqa6qnqu+rQ6ufrAOsc6zjrVetw64rroeuz68Drx+vH68Drsuue64TrZutF6yPrAerh6sTqq+qZ6ozqheqF6ovql+qm6rjqzOrh6vXrB+sY6yXrL+s26zrrOus46zTrLusn6x/rF+sP6wfrAOr56vLq7Orm6uHq3OrY6tTq0erO6s3qzOrM6s7q0OrT6tfq3Orh6ufq7Orx6vXq+er76vzq++r56vXq8Orp6uDq1erJ6rzqruqg6pHqgepy6mPqVOpH6jrqLeoi6hjqDuoF6f3p9enu6ebp3+nY6dHpy+nF6b/puum26bPpsumy6bTpt+m76cHpyOnP6dfp3+nm6e3p8+n36frp++n76frp9+nz6e7p6enj6d3p2OnU6dHpz+nO6c/p0enU6dnp3+nl6e3p9On86gTqC+oR6hbqGuod6h/qH+of6h3qG+oY6hbqFOoT6hPqFeoY6h3qJOot6jjqROpS6mHqcOqA6o/qnuqt6rzqyerW6uLq7ur46wLrDOsV6x3rJOsr6zDrNOs36zjrN+s06y/rKOsg6xfrDesD6vnq8erq6ubq5ern6uzq9esB6w/rIOs060jrXOtw64PrlOuk67HrvOvE68rrz+vS69Xr2Ovb69/r5evt6/bsAOwM7BjsJewx7DzsRexL7E7sTuxL7ETsO+wv7CLsFOwG6/vr8uvs6+zr8Ov67ArsIOw67Frsfeyj7Mrs8u0a7UDtZO2E7aHtue3O7d/t7e347gHuCO4P7hbuHe4m7jDuPO5K7lvube6B7pfur+7H7uHu++8W7zLvTu9q74bvo++/79vv9vAQ8CnwQPBU8GfwdvCD8I3wk/CX8JnwmPCV8JLwjvCL8IjwhvCH8InwjfCU8Jzwp/Cz8MDwz/De8O7w/vEP8R/xMPFB8VPxZPF38YnxnPGv8cHx0/Hk8fTyAvIO8hjyIPIl8inyKvIr8iryKfIp8iryLPIv8jXyPvJI8lTyYvJw8n/yjvKc8qnytPK98sTyyPLK8sryyPLF8sDyu/K28rHyrfKp8qbypPKk8qXyp/Kr8rDyt/LA8szy2fLo8vnzDPMg8zXzSvNf83Tzh/OZ86jztvPB88nz0fPW89vz4fPm8+7z+PQE9BP0JvQ79FL0bPSH9KL0vfTY9PH1CfUg9Tb1S/Vg9Xb1jvWo9cb15/YM9jX2YPaO9r327Pca90X3bPeP9673x/fc9+/3//gP+CH4NvhQ+HH4mfjI+P/5O/l7+b35/vo6+m/6mfq1+sL6vfql+nz6Qvn4+aP5RPjg+Hr4F/e792j3Ifbo9r/2pvab9p/2sPbL9u33FfdA92v3lPe599r39fgJ+Bj4IPgj+CD4GvgQ+AX39/fp99v3zffB97b3rPel96H3n/ef96P3qve098H30Pfi9/X4Cvgf+DT4Sfhc+G74ffiK+JT4nPii+KX4p/io+Kn4qvit+LD4tfi8+Mb40fje+Oz4+/kL+Rv5Kvk4+UX5UPlZ+WD5Zflo+Wn5afln+WX5Y/lg+V75XPlc+Vz5Xvli+Wb5bPl0+Xz5hfmO+Zf5oPmo+a/5tfm5+bz5vfm9+bz5uvm3+bX5s/mx+bH5s/m2+br5wPnI+dD52Pnh+ej57vnz+fX59vn0+fH57Pnm+d/52vnV+dL50vnU+dr54vnu+fz6Dfoe+jH6Q/pU+mT6cfp8+oT6iPqK+on6hvqA+nn6cfpo+l/6VvpN+kX6Pfo2+jD6Kvom+iL6IPoe+h76IPoi+if6LPoz+jv6Q/pM+lX6Xvpm+m36dPp5+n/6hPqK+pH6m/qn+rb6yvrh+v77HvtC+2r7lPu+++j8Efw3/Fn8dvyN/J78qvyv/LD8rfym/J78lfyM/IT8f/x8/Hz8fvyD/Iv8k/yd/Kb8rvy1/Lv8vvzA/L/8vfy6/Lb8svyv/K78rvyw/LX8vfzG/NP84fzw/QD9Ef0i/TL9Qv1Q/V39af10/X39hv2O/Zb9nf2l/az9tP29/cb9z/3Z/eP97f32/gD+Cf4R/hj+H/4l/iv+MP41/jr+P/5F/kr+UP5X/l3+Y/5q/m/+df55/n3+f/6B/oL+gv6C/oL+gv6D/oT+h/6L/pD+l/6e/qf+sP65/sL+yv7R/tj+3v7j/uj+7P7x/vb+/P8E/w7/Gf8n/zX/Rf9U/2T/cv9+/4b/jP+N/4r/g/95/2v/Wv9I/t3+zP6+/rL+q/6o/qr+sP67/sr+3f7y/wn/IP83/03/Yf90/4T/kv+d/6j/sf+5/8H/yv/T/93/6P/1AAIAEAAfAC4APABKAFcAYwBuAHcAfwCHAI4AlACbAKIAqQCyALwAxgDSAN4A7AD5AQcBFQEjATABPAFIAVMBXgFpAXMBfQGHAZEBnAGnAbIBvQHJAdQB3gHoAfEB+QIAAgYCCwIPAhICFgIZAh4CIwIqAjICPQJJAlcCZgJ3AogCmgKrArsCyQLVAt8C5gLrAuwC6wLoAuMC3QLWAtACyQLEAsACvQK8ArwCvgLBAsQCyALMAs8C0gLUAtUC1QLTAtECzgLKAsYCwgK/ArwCugK5ArkCugK8Ar8CwwLIAs0C0gLYAt0C4gLnAuwC8ALzAvYC+AL6AvwC/AL9Av0C/gL+Av4C/wMAAwIDBQMJAw4DFAMbAyIDKwM0Az0DRgNOA1YDXQNiA2YDaQNpA2gDZgNjA18DWgNVA1ADTANIA0YDRANDA0MDRQNHA0oDTQNRA1UDWQNeA2MDaANtA3QDewODA40DlwOjA7ADvQPMA9oD6QP3BAUEEQQbBCQEKgQtBC0EKwQnBB8EFgQKA/4D7wPhA9EDwgOzA6UDlgOJA3wDbwNjA1cDSwM+AzEDJAMWAwcC9wLnAtYCxAKzAqECkAKAAnACYgJVAkoCQAI3AjACKgIlAiECHQIZAhYCEQIMAgYCAAH4Ae8B5gHcAdIBxwG9AbQBqwGkAZ0BmAGVAZIBkQGRAZIBlAGXAZkBnAGfAaIBpAGmAakBqwGtAa8BsQG0AbYBuAG6AbsBvAG8AboBtwGyAawBowGYAYsBfAFrAVoBSAE1ASMBEgEBAPIA5ADXAMwAwgC5AK8ApgCbAJAAgwBzAGIATwA5ACEACP/u/9T/uv+h/4r/df9i/1P/Rv88/zX/Mf8v/y7/Lf8u/y3/LP8p/yT/HP8S/wT+9P7h/sv+s/6Y/nr+W/46/hf98/3O/aj9gf1a/TP9DPzm/L/8mvx1/FH8LvwN++z7zfuw+5T7eftf+0f7L/sZ+wP67vrY+sP6rfqW+n76ZfpJ+iz6DPnp+cP5m/lx+UT5Ffjl+LX4hfhW+Cn3/vfX97P3lPd592L3UPdB9zX3K/cj9xv3E/cJ9v728fbh9s72ufah9oj2bfZS9jj2HfYE9e311/XC9a/1nfWK9Xj1ZPVP9Tj1HvUB9OH0v/Sb9HT0TfQl8/7z2POz85DzcPNT8zjzH/MH8vLy3PLH8rHymvKC8mnyTvIy8hTx9vHY8brxnfGA8WXxS/Ey8RvxBfDv8NrwxvCy8J3wiPBz8F7wSPAz8B/wC+/47+fv2O/K777vs++q76Lvmu+T74zvhO9873LvaO9d71DvQ+817yfvGO8I7vnu6e7Y7sjutu6j7o7ueO5g7kbuKe4L7evtyu2n7YXtYu1A7R/tAOzk7Mnssuyd7Ivse+xt7GHsVexK7EDsNewp7BzsDuv/6+7r3OvJ67XroOuK63XrX+tI6zLrHesH6vPq3+rM6rnqp+qX6ofqeOpr6l/qU+pJ6kDqOOox6irqJOof6hrqFeoR6g7qC+oJ6gjqCeoK6g3qEeoX6h7qJuov6jnqQupM6lXqXOpj6mnqbepw6nPqdep46n3qg+qM6pfqp+q66tDq6usH6yTrQutg63rrkeuj66/rs+uw66Xrkut561nrNusP6ufqweqd6n3qY+pQ6kTqQOpD6k7qXupz6ozqp+rD6t7q+OsO6yLrMes960TrSetJ60jrROs/6zrrNOsv6yrrJusi6x/rHesb6xnrF+sU6xLrEOsN6wrrCOsF6wTrA+sC6wPrBesH6wrrDesR6xTrF+sZ6xrrGesX6xTrDusG6v3q8urm6tnqy+q96q7qoOqS6oTqd+pr6mDqVupM6kPqOuoy6irqIuoa6hPqDOoG6gDp+un26fLp8Onv6e/p8enz6ffp++oB6gbqDOoR6hbqGuoe6iHqIuoj6iPqIuog6h7qHOoa6hjqFuoU6hTqE+oT6hTqFeoX6hjqGuoc6h7qH+oh6iPqJOol6ibqJ+oo6inqKeop6irqKuoq6irqK+os6i3qL+oy6jbqO+pB6kjqUepb6mbqcup+6ozqmuqo6rbqxOrS6t/q7Or46wPrDusY6yHrKesx6zfrPetB60PrROtD60DrO+s16yzrIusX6wvq/+rz6unq4OrZ6tXq1erY6t/q6er46wnrHes060vrY+t665Drpeu368fr0+vd6+Xr6uvt6+/r8evz6/Xr+Ov97APsCuwT7BzsJuwv7DfsPuxC7ETsQ+w/7DjsLuwj7BXsB+v56+3r4+vb69jr2evf6+rr+uwP7CjsRexk7IXsqOzK7OztDO0q7UXtXu107YftmO2n7bXtwe3N7dnt5e3y7gDuEO4g7jLuRu5a7nDuhu6d7rTuzO7l7v3vFe8t70XvXe9074vvoO+178nv2u/r7/nwBvAR8BnwIfAm8CvwL/Ay8DbwOfA+8EPwSvBS8FzwZ/Bz8IDwjvCd8KzwvPDM8Nvw6/D78QzxHPEu8T/xUvFl8XnxjfGh8bbxyvHd8e/x//IO8hryJfIt8jPyOPI78j3yP/JC8kXySfJP8lbyX/Jr8nfyhvKV8qXytPLD8tHy3vLo8vHy9/L78v3y/fL68vfy8vLs8uby3/LZ8tTyz/LM8sryy/LN8tLy2fLj8u/y/vMP8yLzNvNL82DzdvOK857zr/O/88zz2PPh8+nz8PP38/70B/QR9B30LPQ+9FL0afSC9J30uPTT9O71B/Ue9TT1R/VZ9Wr1evWL9Z31sfXJ9eX2BfYp9lH2fPap9tj3Bfcx91r3gPeh97331Pfp9/v4DPgf+DX4UPhy+Jz4zvkJ+U35lvnk+jP6gPrH+wT7NPtU+2D7V/s5+wX6vfpi+fj5hPkI+Ir4DveZ9y/20/aI9k/2KfYV9hP2IfY89mH2jfa99u/3H/dL93H3kfep97n3wffC9733s/em95b3hPdy92H3UfdD9zf3Lvco9yX3JPcn9y33NvdB91D3Yfd094r3ofe699P37fgG+B/4NvhK+F34bfh7+Ib4jviU+Jn4nPie+KD4ovil+Kn4r/i3+MD4y/jY+Ob49PkC+RH5Hvkr+TX5PvlF+Un5S/lM+Ur5SPlE+UD5O/k4+TX5M/kz+TX5OPk9+UT5S/lT+Vz5ZPls+XP5ePl8+X75f/l/+X35evl3+XP5cflv+W75b/ly+XX5e/mB+Yn5kPmX+Z75o/mn+an5qfmn+aT5oPmb+Zb5kvmQ+Y/5kfmW+Z/5qvm4+cn53Pnx+gb6G/ov+kH6Ufpf+mn6cPp0+nT6cvpt+mX6XPpS+kf6O/ow+iX6G/oR+gn6Avn8+fj59vn1+ff5+fn++gP6CvoS+hr6I/or+jP6OvpB+kf6TPpR+lf6Xfpk+m76evqK+p/6t/rU+vb7HPtF+3D7nfvJ+/T8HPw//F38dfyF/I78j/yK/H/8b/xb/EX8LvwY/AT78/vn+9/72/vd++L77Pv4/Ab8Fvwm/DX8Q/xP/Fn8Yfxo/Gz8b/xx/HP8dPx3/Hr8fvyE/Iv8k/yc/KX8sPy6/MX8zvzY/OH86fzw/Pf8/f0D/Qn9D/0V/Rv9Iv0o/S/9Nv0+/UX9TP1S/Vn9X/1k/Wr9b/10/Xj9ff2D/Yj9jv2U/Zv9of2o/a/9tf26/b/9xP3H/cr9y/3N/c79z/3R/dP91v3b/eH96f3y/f3+Cf4V/iL+L/48/kf+Uv5b/mP+av5w/nb+e/6B/oj+kP6Z/qX+s/7C/tL+5P71/wb/Ff8i/yv/Mf8y/y//KP8e/xD+//7u/pb+hv55/m7+Z/5k/mb+bP53/oX+l/6r/sD+1/7t/wP/F/8q/zr/Sf9W/2H/av9z/3v/hP+M/5X/oP+q/7b/wv/P/9z/6v/2AAMADwAaACQALgA3AD8ASABRAFoAYwBtAHgAhACQAJ0AqgC3AMUA0gDeAOsA9gEBAQsBFgEfASgBMgE7AUQBTgFYAWIBbAF1AX8BiAGQAZcBnQGjAacBqgGuAbABswG3AbsBwAHHAdAB2wHnAfUCBQIVAiYCOAJIAlgCZgJyAnwCgwKHAokCiAKFAoECegJzAmwCZAJdAlcCUgJPAk0CTAJMAk0CTgJRAlMCVQJWAlcCWAJYAlcCVgJVAlMCUgJRAlECUQJTAlUCVwJbAmACZQJrAnECeAJ+AoUCiwKRApcCnAKgAqQCqAKrAq0CrwKxArICswK1ArYCuAK6Ar0CwALFAsoC0QLYAuAC6gLzAv0DCAMRAxsDIwMrAzIDNwM6AzwDPQM8AzoDNwM0AzEDLQMqAyYDJAMjAyIDIgMjAyYDKQMtAzIDNwM+A0UDTQNWA2ADagN1A4EDjgOcA6oDuQPHA9YD5APxA/4ECQQSBBoEHwQiBCMEIgQfBBkEEgQJA/4D8gPmA9gDygO7A6wDnQONA34DbQNcA0wDOgMoAxUDAwLvAtwCyQK1AqICkAJ+Am0CXQJPAkICNgIrAiICGgITAg0CCAIEAgEB/QH6AfcB8wHwAesB5wHiAdwB1gHQAckBwwG8AbYBrwGqAaQBoAGcAZkBlwGWAZYBlwGYAZsBngGjAagBrgG0AboBwQHIAc8B1QHbAeAB5AHmAegB5wHkAd8B2AHQAcUBuAGqAZoBiQF3AWYBVAFCATIBIgETAQYA+gDvAOQA2wDRAMcAvQCxAKUAlgCGAHQAYABLADQAHAAE/+v/0v+7/6X/kP9+/23/X/9U/0r/Q/89/zn/Nf8y/y//K/8m/yD/F/8N/wD+8P7e/sn+sv6X/nv+W/45/hb98P3J/aH9d/1N/SP8+fzP/Kf8f/xZ/DT8Evvx+9P7t/ud+4X7b/ta+0b7NPsj+xL7Afrv+t36yvq2+qD6iPpu+lL6NPoT+fD5yvmj+Xr5UPkk+Pj4zfii+Hj4T/gp+AX34/fE96j3jvd292D3TPc49yX3Efb99un21Pa+9qb2j/Z29l72RfYu9hf2AfXt9dr1yPW39af1l/WG9XX1Y/VO9Tf1HvUC9OT0w/Sg9Hz0V/Qx9Azz5/PE86PzhPNm80vzMvMa8wPy7fLX8sHyqvKT8nryYfJG8iryDvHx8dTxuPGc8YDxZvFN8TTxHPEF8O/w2fDE8K7wmfCD8G7wWfBE8C/wHPAJ7/jv5+/Z78zvwO+2763vpe+e75jvke+L74PvfO9z72rvYO9V70jvO+8s7x3vDO767ufu0+697qbuje5y7lbuOO4Z7fnt2O237ZXtc+1T7TPtFez47N3sxOyu7Jnshux27GbsWOxL7D/sM+wn7BvsDuwB6/Pr5OvU68Prseue64vrduti603rOOsk6xDq/Orp6tfqx+q46qrqnuqU6orqg+p86nfqcupu6mrqZ+pj6mDqXepa6lfqVOpS6lHqUepS6lPqV+pb6mDqZupt6nTqeuqA6oXqiOqL6ozqjOqM6ovqi+qM6o7qk+qb6qbqterI6t7q9+sR6y3rSOth63jrieuV65rrmOuN63zrY+tD6x/q9+rN6qPqe+pX6jjqH+oO6gXqBOoL6hnqLepH6mTqhOqk6sTq4ur+6xfrK+s860jrUetX61rrW+ta61nrV+tV61PrUetQ607rTetL60nrR+tE60HrPes56zXrMesu6yvrKeso6ynrKust6zDrNOs56z3rQOtC60PrQus/6zrrM+sq6x/rEusF6vbq5+rY6srqvOqu6qLql+qM6oPqeupy6mrqYupb6lTqTepG6j/qOOoy6i3qKeom6iTqJOol6ifqKuov6jTqOeo+6kPqR+pK6k3qTupO6kzqSupH6kTqQeo+6jzqOuo56jrqO+o+6kHqRepJ6k3qUepU6lbqV+pY6lbqVOpR6k3qSOpD6j7qOuo26jPqMeox6jHqM+o36jvqQOpH6k7qVepd6mXqbup26n7qh+qQ6pjqoeqq6rPqvOrF6s/q2erj6u3q+OsC6w3rF+sh6yvrNOs960TrSutP61LrU+tS607rSetC6znrLusi6xbrCur+6vTq6+rl6uLq4urm6u7q+esJ6xvrL+tG617rduuO66XruuvO697r7Ov36//sBOwI7ArsC+wL7AzsDOwO7BDsFOwY7B7sI+wp7C/sM+w27DjsN+w17DDsKuwi7BnsD+wG6/7r9+vz6/Hr8+v57APsEOwh7DbsTuxn7IPsoOy87Nns9O0P7SftPu1S7WXtdu2F7ZTtoe2u7bvtyO3W7eXt9O4F7hfuKu4+7lTuau6B7pnuse7J7uHu+e8R7yfvPu9T72fveu+L75vvqO+077/vyO/P79bv2+/g7+Xv6e/v7/Tv+/AE8A3wGPAk8DLwQfBQ8GDwcfCC8JLwo/C08MTw1PDk8PXxBfEX8SjxO/FO8WLxd/GN8aLxt/HM8eDx8/IE8hPyIfIt8jfyP/JG8kvyUPJV8lryX/Jl8mzydfJ+8onylvKj8rDyvvLM8tny5fLw8vrzAfMH8wrzDPML8wnzBPL/8vjy8fLq8uPy3fLY8tXy1PLW8try4vLs8vrzCvMc8zHzR/Ne83Xzi/Oh87XzyPPY8+bz8vP99Ab0D/QX9CH0LPQ49Ef0WPRs9IL0mfSy9Mz05vUA9Rj1LvVD9VX1ZvV19YT1k/Wj9bX1yvXi9f72H/ZD9mv2lvbC9u73GvdE92v3jfes98b33ffw+AL4FPgo+ED4XviD+LH45/km+W35uvoK+lv6qfrx+y77XPt6+4T7ePtV+xz6zvpt+fz5f/j7+HT37/dx9v32mPZF9gT12PW/9bn1xfXf9gX2M/Zm9pz20PcB9yz3T/dr9333h/eJ94T3efdp91f3Qvcu9xr3B/b39ur24Pba9tf22Pbb9uP27fb69wv3Hfcz90r3ZPd/95v3uPfW9/L4Dvgp+EH4V/hp+Hn4hfiO+JT4mPiZ+Jn4l/iV+JT4lPiV+Jj4nfik+K34uPjF+NL44fjv+Pz5CfkU+R35I/ko+Sr5Kvko+SX5Ifkc+Rj5FPkR+Q/5D/kQ+RP5F/kc+SL5KPku+TT5Ofk9+UD5QflB+UH5P/k9+Tv5Ofk3+Tb5N/k5+Tz5QPlF+Uz5UvlZ+V/5ZPlo+Wv5bflu+W35bPlr+Wn5aPlo+Wr5bvl1+X75ifmY+aj5uvnO+eL59voK+h36Lvo9+kn6U/pZ+l36Xfpb+lX6TvpF+jv6L/oj+hf6C/oA+fX57Pnl+d/52/nZ+dn52/ne+eP56fnx+fj6APoI+hD6Fvod+iP6KPou+jT6O/pD+k36W/pr+n/6l/qy+tH69PsY+z77ZfuL+677zvvq/AD8EPwZ/Bv8F/wN+/376vvT+7v7o/uM+3j7Z/tb+1T7UvtW+177avt6+437ovu3+8z74Pvz/AT8Evwe/Cj8MPw1/Dr8PfxA/EP8RfxI/Ez8UPxV/Fr8YPxm/G38c/x6/ID8hvyN/JP8mfyf/KX8q/yx/Lf8vfzD/Mj8zvzT/Nj83Pzf/OP85fzo/Ov87fzw/PP89/z7/QD9Bv0N/RT9G/0i/Sn9MP03/T39Qv1G/Un9TP1P/VL9Vf1Z/V39Y/1q/XP9ff2I/ZT9ov2v/b39y/3Y/eT97/35/gL+Cf4R/hj+H/4n/jD+Ov5G/lT+Y/50/ob+mf6r/rz+y/7Y/uH+5v7o/uX+3v7U/sb+t/6m/mD+VP5K/kP+P/4//kL+Sf5T/mH+cf6E/pj+rP7B/tX+6P75/wn/GP8k/y//Ov9D/0z/VP9d/2f/cf98/4f/k/+g/63/uv/H/9P/4P/r//YAAQALABQAHgAnADAAOgBEAE4AWQBkAHAAfACIAJQAoACrALYAwQDLANUA3wDpAPIA+wEFAQ8BGQEjAS0BNwFCAUwBVQFeAWcBbgF1AXoBgAGEAYgBjAGRAZUBmwGiAaoBswG9AckB1gHkAfMCAgIQAh4CKwI3AkECSQJPAlQCVgJWAlUCUwJPAksCRwJDAj8COwI5AjcCNQI1AjUCNQI2AjYCNwI3AjcCNwI2AjQCMgIwAi4CKwIpAicCJQIkAiMCIwIjAiQCJgIoAisCLgIxAjUCOQI+AkICRgJLAk8CUwJXAlsCXwJjAmcCawJvAnMCeAJ9AoICiAKPApYCngKnArACugLEAs4C2ALiAusC8wL7AwEDBgMKAw0DDgMOAw0DCwMIAwUDAgL+AvsC+QL2AvUC9AL0AvUC+AL7Av8DBAMKAxIDGgMjAy4DOQNFA1IDYANvA34DjQOdA6wDuwPJA9cD4wPtA/YD/gQDBAYEBwQHBAQEAAP6A/ID6QPfA9QDxwO6A6wDngOOA34DbgNdA0wDOgMpAxcDBALzAuECzwK/Aq4CngKQAoICdAJoAl0CUgJJAkACNwIvAigCIQIaAhQCDgIIAgIB/QH4AfMB7gHqAeYB4gHeAdoB1gHSAc8BywHHAcQBwAG9AboBuAG2AbUBtAG1AbYBuQG8AcEBxwHNAdQB2wHiAeoB8AH2AfsB/gIAAf8B/QH5AfIB6QHfAdIBxAG1AaUBlQGEAXQBYwFUAUUBNwEqAR4BEwEJAP4A9ADqAOAA1QDJALsArQCdAIwAegBmAFEAPAAnABH//P/n/9L/wP+u/53/j/+B/3X/a/9i/1n/Uv9L/0T/Pf81/y3/I/8Y/wv++/7p/tX+vv6j/ob+Zv5E/h799/3N/aP9dv1K/R388fzG/Jz8dPxO/Cv8Cvvs+9H7uPuh+437evto+1f7Rvs1+yT7Efr++un60/q7+qH6hvpq+kz6LPoM+er5yPmm+YP5YPk9+Rv4+fjY+Lf4l/h4+Fr4Pfgg+AX36vfP97X3m/eB92f3Tfcz9xj2/fbj9sj2rfaS9nj2X/ZG9i/2GPYC9e712vXG9bL1n/WL9Xb1YPVJ9TD1FvT69Nz0vfSd9H30W/Q69Brz+vPb873zofOG82zzU/M78yTzDfL28t/yyPKw8pfyffJi8kfyK/IP8fPx1/G78Z/xhPFq8VDxN/Ef8Qfw7/DY8MHwq/CV8H/wavBW8EPwMPAf8A/wAO/z7+jv3u/V783vxu/A77rvtO+u76fvn++X743vgu9272jvWe9J7zfvJO8Q7vvu5e7P7rfunu6F7mruT+4z7hft+u3d7b/tou2F7WftS+0v7RTs+uzh7MrstOyf7Ivseexo7FnsSuw87C7sIewV7Ajr++vt69/r0evB67HroOuO63zraetW60PrMesg6w/rAOry6ufq3OrV6s7qyurH6sbqxerG6sfqyOrJ6srqyurK6srqyerI6sfqxurF6sXqxerF6sbqyOrJ6svqzOrO6s/q0OrR6tHq0erS6tPq1erZ6t7q5urw6vzrC+sb6y3rQOtT62XrdOuB64nri+uI63/rbutY6zvrGerz6srqoOp26k7qKuoK6fHp4OnW6dTp2enn6fvqFOoy6lLqdeqX6rnq2er36xDrJ+s560nrVOtd62PraOtr623rbutv62/rb+tw62/rb+tt62zraetm62LrXetZ61TrUOtN60vrSutL603rUOtU61nrX+tk62nrbetv63Drbutq62TrW+tQ60PrNesl6xbrBur26ufq2urN6sLquOqv6qfqoOqZ6pPqjeqH6oDqeupz6mzqZupg6lvqWOpV6lPqU+pV6ljqXOpg6mXqa+pw6nTqd+p56nrqeep36nPqb+pq6mXqYepc6lnqWOpX6ljqW+pe6mPqaepu6nTqeOp86n7qfup96nrqdupw6mnqYupb6lTqTupK6kfqR+pI6kzqU+pb6mXqcep+6ozqmeqn6rTqwOrL6tTq3Orj6unq7ury6vXq+Or76v7rAusG6wvrEusY6yDrKOsx6znrQutK61LrWOte62HrY+tj62HrXetX61DrSOs+6zTrKush6xnrE+sQ6w7rEOsV6x3rKOs260frWutv64Xrm+ux68br2uvs6/zsCewU7B3sI+wo7CrsLOws7CzsLOws7CzsLewu7C/sMewz7DXsNuw27DbsNewy7C/sK+wm7CHsHOwY7BXsE+wU7BfsHewl7DHsQOxR7GXse+yT7Kzsxezf7PjtEO0o7T3tUe1k7XXthO2S7Z/tq+237cPtz+3b7ent9+4H7hjuK+4/7lXua+6D7pzute7P7unvAu8b7zPvSu9f73PvhO+U76Lvre+2777vxO/J78zvz+/S79Xv2O/c7+Hv6O/w7/rwBfAR8B/wLvA98E3wXvBu8H/wj/Ce8K7wvfDM8Nvw6vD68QrxG/Et8UDxU/Fn8XzxkfGm8brxzvHh8fLyAvIQ8hzyJ/Iw8jjyPvJE8kjyTfJR8lXyWvJg8mfybvJ28oDyivKU8p/yqvK08r7yx/LP8tby2/Le8uDy4PLf8tzy2fLU8tDyzfLK8sjyyfLL8tHy2fLk8vLzA/MW8yzzQ/Na83LzivOh87fzy/Pd8+3z/PQJ9BX0IfQs9Dj0RvRU9GX0d/SL9KH0uPTQ9Oj1APUX9S31QvVV9Wf1d/WH9Zb1pvW39cv14fX69hj2OPZc9oP2rPbX9wH3K/dS93b3l/ez98z34ff0+AX4Fvgo+D74WPh5+KD4zvkD+T/5f/nC+gX6RvqA+rH61/rt+vL65frE+pD6Svn0+Y/5Ifit+Db3wPdQ9ur2kPZF9gr14fXK9cP1y/Xg9gD2J/ZT9oH2r/ba9v/3H/c390j3UvdV91H3Sfc99y/3IPcQ9wH29Pbp9uH23PbZ9tn22/bh9uj28fb99wr3Gfcq9z33Ufdo93/3mPey98z35vgA+Bj4L/hD+FX4ZPhw+Hn4fviB+IH4f/h8+Hn4dfhy+HH4cvh1+Hr4gfiL+Jf4pfi0+MP40vjg+O34+fkC+Qn5DvkQ+RD5D/kM+Qj5A/j++Pr49vjz+PH48fjx+PP49fj4+Pv4/vkB+QP5BPkF+QX5BfkE+QP5AvkB+QD5APkB+QP5BvkJ+Q75E/kY+R35Ivkn+Sv5Lvkx+TT5Nvk4+Tr5PflB+Ub5TPlU+V75avl4+Yf5mfmr+b750vnm+fn6C/ob+ir6NvpA+kf6TPpN+kz6SPpC+jr6MPol+hn6DPoA+fP56Pnd+dT5zfnH+cT5wvnD+cX5yfnO+dT52/nj+er58vn6+gH6CPoP+hb6Hvon+jD6PPpJ+lj6afp7+pD6p/q++tX67PsC+xb7KPs2+0D7RvtI+0X7P/s1+yn7G/sM+v368Prl+t362PrY+tz65frx+wL7Fvss+0T7Xvt3+4/7p/u8+8/74Pvu+/r8AvwJ/A78EfwT/BT8FPwU/BT8FPwU/BX8FvwX/Bn8HPwf/CL8J/wr/DH8N/w+/EX8TfxV/F38Zfxt/HX8fPyC/If8jPyQ/JL8lPyW/Jf8mPyZ/Jv8nPyf/KP8qPyt/LP8uvzC/Mr80fzZ/OH86Pzv/Pb8/P0C/Qj9Dv0V/Rz9JP0t/Tf9Qf1N/Vn9Zv1y/X/9i/2W/aH9q/2z/bz9w/3L/dL92v3j/ez9+P4E/hP+Iv4z/kT+Vf5m/nb+g/6P/pf+nf6e/p3+l/6Q/oX+ef5t/hv+Fv4S/hD+Ef4U/hr+JP4v/j3+Tf5f/nH+g/6W/qj+uf7J/tf+5f7x/vz/B/8Q/xr/JP8u/zj/Q/9O/1v/Z/90/4H/jv+b/6j/tP+//8r/1P/e/+f/7//4AAAACQASABsAJAAuADkARABPAFoAZQBxAHwAhwCSAJwApgCxALsAxQDPANkA4wDtAPgBAgEMARcBIQErATQBPQFFAU0BVAFbAWIBaAFuAXUBewGCAYoBkgGbAaUBsAG7AccB0wHeAeoB9gIAAgoCEwIbAiECJwIrAi8CMQIzAjQCNQI1AjYCNgI3AjcCOAI4AjkCOQI6AjkCOQI4AjYCMwIwAiwCKAIiAh0CFwIQAgoCAwH9AfcB8QHtAegB5AHhAd8B3gHdAd4B3wHgAeMB5gHqAe8B8wH5Af8CBQIMAhICGgIhAikCMgI6AkMCTQJXAmECbAJ3AoECjQKXAqICrAK1Ar4CxQLMAtIC1gLZAtsC3ALbAtoC2ALWAtMC0ALMAskCxwLEAsICwQLAAsACwQLDAsUCyALMAtEC2ALfAucC8QL8AwgDFQMjAzMDQwNUA2YDdwOJA5oDqwO7A8kD1gPhA+oD8QP2A/gD+QP3A/ID7APjA9kDzgPBA7MDpAOUA4QDcwNiA1IDQQMxAyEDEgMDAvUC5wLaAs4CwQK1AqoCngKTAocCfAJwAmQCWAJMAj8CMwInAhwCEQIGAf0B9QHtAecB4gHeAdwB2gHZAdkB2QHZAdoB2gHaAdoB2gHZAdgB1wHWAdUB1AHUAdUB1gHYAdsB3gHiAeYB6wHwAfUB+QH8Af4B/wH+AfsB9wHyAeoB4QHXAcwBvwGyAaUBlwGKAX0BcAFjAVgBTQFCATgBLgEkARoBEAEGAPsA7wDjANUAyAC5AKkAmACHAHYAZABRAD8ALAAaAAj/9v/l/9T/xP+1/6f/mf+M/4D/dP9p/17/VP9J/z3/Mf8k/xX/Bf7z/t7+xv6r/o3+bf5J/iP9+v3P/aL9df1H/Rn87PzA/Jf8cPxL/Cr8DPvw+9f7wfut+5r7ift4+2b7VPtB+yz7Fvr++uP6x/qp+or6afpI+ib6BPnj+cL5ovmD+WX5Sfku+RT4+/jj+Mv4tPid+Ib4b/hX+D/4J/gN9/P32Pe996H3hfdo90z3L/cT9vb22va/9qP2iPZu9lT2O/Yh9gj17/XW9b31o/WJ9W71U/U49Rv0//Th9MT0pvSJ9Gz0T/Qz9Bfz/fPj88rzsfOa84PzbPNV8z/zKPMR8vny4fLI8q/ylfJ68l/yQ/Io8gzx8PHU8bnxnfGC8WjxTvE18RzxA/Dr8NTwvfCo8JPwf/Bs8FrwSfA68CzwIPAU8ArwAu/57/Lv6+/k79zv1O/M78PvuO+s76Dvke+C73HvYO9O7zrvJ+8T7v7u6e7U7r/uqu6V7n/uau5T7jzuJe4N7fTt2+3A7abti+1v7VPtOO0d7QLs6OzP7LjsouyN7HrsaOxY7EnsO+wu7CPsF+wM7ADr9Ovo69vrzeu+66/rn+uP63/rcOth61PrRus86zPrLOsn6yXrJesm6yrrLus06zrrQOtH603rUutW61jrWutb61vrWetX61XrUutP60zrSetG60TrQutC60HrQutD60brSetN61PrWeth62rrc+t964jrkuuc66Trquuu667rquuh65Trgeto60vrKOsC6tjqreqB6lXqLOoG6eTpyem06afpoemk6a7pvunV6fHqEeo06ljqfOqg6sHq4Or86xTrKes760nrVOtd62Trautv63Prdut6633rgOuC64TrheuG64XrhOuB63/re+t363Trcetu623rbetu63HrdOt5637rhOuK647rkuuU65TrkeuM64Xre+tw62LrVOtE6zTrJOsV6wfq+uru6uTq2+rU6s3qyOrC6r3quOqz6q7qqOqi6pzqluqR6ozqiOqF6oPqg+qF6ofqiuqP6pPqmOqc6qDqo+ql6qXqpOqh6p3qmeqU6o7qieqF6oLqgOp/6oDqguqF6orqj+qU6pnqnuqh6qPqpOqj6qDqm+qW6o/qiOqC6nzqeOp16nTqdup76oLqjOqZ6qfqt+rI6tnq6ur76wvrGesl6y/rN+s960HrQ+tE60PrQutA6z7rPes86zvrPOs960DrQ+tH60zrUOtV61nrXetg62LrYuth61/rXOtY61PrTutI60LrPus66zfrNus36zrrP+tH61HrXuts63zrjuuh67Trx+va6+zr/uwO7BzsKew07D3sRexL7E/sU+xV7FfsWOxY7FnsWexY7FjsV+xW7FTsUuxP7EzsSOxE7EDsO+w37DPsMewv7C/sMew17DzsROxQ7F7sbuyA7JTsquzA7Njs7+0G7R3tM+1I7Vvtbe197Yztmu2n7bPtvu3K7dbt4u3v7f3uDO4d7jDuQ+5Z7nDuiO6h7rvu1u7w7wvvJe8971Xva++A75Lvou+w77zvxu/N79Pv1+/a793v3+/g7+Lv5e/p7+3v8+/68APwDfAY8CTwMfA/8EzwWvBo8HXwgvCP8JvwpvCy8L7wyfDV8OHw7/D98QzxG/Es8T3xT/Fh8XTxhvGY8ajxuPHG8dPx3vHo8e/x9fH68f3x//IB8gLyBPIF8gfyCvIO8hPyGvIi8ivyNfI/8kvyV/Ji8m7yefKD8ozyk/Ka8p/ypPKn8qryrfKw8rTyufK/8sfy0vLe8u3y/vMQ8yXzOvNR82jzfvOU86rzvvPR8+Lz8/QC9BH0H/Qu9D30TfRf9HL0hvSc9LT0zPTl9P71FvUv9Ub1W/Vw9YP1lfWn9bj1yfXc9fD2BvYe9jn2V/Z49pv2wPbl9wv3MPdT93T3kvet98X32ffr9/v4C/ga+Cv4P/hW+HH4kPi0+Nz5CPk1+WL5jfm0+dX57fn8+f759Pnc+bf5hflI+QH4s/hg+Av3t/dn9xz22vah9nT2U/Y89jL2MfY59kj2XfZ19o72qPa/9tT25vbz9v33A/cG9wb3BPcB9v72+/b59vj2+fb89v/3BPcK9xH3F/ce9yX3K/cx9zf3PfdE90v3VPde92n3d/eH95j3q/e/99T36ff++BH4I/gz+ED4S/hT+Fj4W/hc+Fv4WfhX+FX4VfhV+Fj4XPhj+Gz4d/iE+JL4ofiw+L/4zfjZ+OT47fjz+Pf4+fj5+Pf48/jv+On45Pje+Nn41fjR+M74zfjL+Mv4y/jL+Mz4zPjN+M34zfjM+Mz4y/jK+Mn4yPjH+Mf4x/jI+Mn4yvjM+M740PjS+NX42Pjb+N744vjm+Ov48fj4+QD5CvkW+SP5MvlD+VX5afl++ZT5qfnA+dX56vn++hD6IPou+jj6QfpG+kj6SPpF+j/6N/ot+iH6FPoG+fj56vnc+dD5xfm7+bP5rfmq+aj5qPmq+a75s/m6+cH5yvnS+dv55Pnt+fb5/voH+g/6F/of+if6L/o3+j76RfpL+lD6VPpX+lj6WPpW+lP6TfpH+kD6OPow+ir6JPoh+h/6Ifom+i/6PPpN+mH6ePqS+q76zPrr+wr7KPtF+2H7evuR+6X7tvvE+8/71/vd++H74/vj++H73/vb+9f70/vO+8r7xfvB+777u/u5+7j7uPu6+737wvvI+8/71/vh++v79vwB/Az8Fvwg/Cn8Mfw3/Dz8QPxD/EX8RvxH/Ej8SPxK/Ev8TfxR/FX8Wvxf/Gb8bfx0/Hz8hPyM/JX8nfym/K78t/zA/Mr80/ze/Oj88/z//Qr9Fv0h/Sz9N/1B/Uv9VP1d/WX9bf11/X39hv2P/Zn9pP2x/b79zP3b/er9+f4I/hX+If4r/jP+OP46/jv+OP40/i/+KP4i/cb9xf3H/cr9zv3V/d796f32/gT+E/4k/jT+Rf5W/mb+df6E/pH+nv6q/rX+v/7J/tT+3v7p/vT+//8L/xj/Jf8y/z//TP9Y/2X/cP97/4b/j/+Y/6D/qP+w/7j/v//H/9D/2P/i/+z/9gABAAwAFwAjAC8AOgBGAFEAXABnAHEAewCFAI8AmACiAKsAtAC9AMcA0ADZAOIA6wD0AP0BBQEOARYBHwEnATABOAFBAUoBUwFdAWcBcQF8AYYBkQGcAaYBsQG7AcQBzQHWAd4B5QHrAfEB9wH8AgACBAIIAgsCDgIRAhMCFQIXAhgCGAIYAhgCFgITAhACCwIGAf8B+AHwAecB3QHUAcoBwAG2Aa0BpAGbAZQBjQGIAYMBgAF+AX0BfQF/AYEBhQGJAY8BlQGcAaQBrQG2AcABygHVAeAB7AH4AgUCEgIfAi0COgJIAlQCYQJtAngCggKLApMCmgKgAqQCpgKoAqkCqAKnAqUCowKhAp4CnAKZApcClQKUApMCkwKTApMCkwKUApYClwKZApwCnwKkAqkCsAK3AsECzALaAugC+QMMAx8DNQNLA2EDeAOPA6QDuQPMA9wD6gP1A/0EAgQEBAID/QP1A+oD3QPOA70DqwOYA4UDcgNfA00DPAMsAx0DDwMDAvcC7ALiAtgCzQLDArgCrQKgApMChAJ0AmQCUwJBAi8CHQILAfoB6gHcAdABxQG8AbYBsgGvAa8BsAGzAbcBuwHAAcQByQHNAdEB1AHXAdkB2gHbAdsB3AHcAdwB3gHfAeAB4wHlAegB6wHtAe8B8QHxAfEB8AHtAekB5AHeAdcBzgHFAbsBsQGnAZ0BkwGJAX8BdgFtAWUBXAFUAUwBQwE6ATABJgEbARABBAD2AOkA2gDMALwArACcAIwAewBrAFoASQA4ACcAFgAF//T/4//T/8L/sv+j/5P/hf92/2j/Wv9M/z7/MP8g/xD+/v7q/tT+vP6h/oP+Yv4+/hf97/3E/Zj9av09/RD85Py5/JH8bPxJ/Cn8DPvy+9v7xvuz+6H7kPt++2v7WPtD+yz7Evr2+tn6uPqX+nT6UPos+gj55fnC+aL5g/ll+Ur5MPkY+QL47fjZ+MX4sfie+Ir4dfhf+Ej4MfgY9//35PfK9673kvd391v3QPck9wn27vbU9rr2n/aF9mr2T/Y09hj1+/Xe9cD1ovWD9WT1RPUl9Qb05/TJ9Kv0jvRz9Fj0PvQl9A3z9vPf88rztPOf84rzdfNg80rzNPMd8wby7vLV8rzyovKI8m7yU/I48h3yAfHm8cvxsPGV8XvxYPFG8S3xFPD88OTwzvC48KTwkfB/8G7wX/BR8EXwOfAv8CbwHfAU8AzwBO/77/Lv6O/d79Hvw++176Xvle+E73LvX+9N7zrvJ+8V7wPu8e7f7s7uve6s7pvuie537mTuT+467iTuDO3z7djtve2g7YPtZu1I7SvtDuzy7Njsv+yo7JLsf+xu7F7sUOxD7DjsLewj7BrsEewH6/3r8uvn69vrz+vD67frrOuh65frj+uI64PrgOuA64LrhuuL65PrnOul67DruuvF687r1+ve6+Tr6Ovq6+vr6uvo6+Tr4Ovb69br0evM68jrxevD68Lrw+vF68nrz+vV69zr5evt6/Xr/ewD7AjsCuwJ7ATr+uvt69rrweuk64HrWusu6wDqzuqc6mrqOeoK6eDpu+mc6YTpdOls6WzpdOmD6ZnptenV6fnqH+pG6m3qkuq26tbq8+sN6yPrNetE61HrW+tj62vrcet363zrguuI647rk+uY653roeuk66brp+un66brpOuh65/rnOua65jrmOuY65rrneug66TrqOus66/rsuuz67Lrr+uq66PrmuuP64LrdOtm61frSOs66y3rIesW6wzrBOr96vfq8ert6ujq5Org6tvq1+rS6s3qyerE6sHqvuq86rrquuq86r7qwerE6sjqzOrQ6tPq1urX6tfq1urU6tHqzerI6sPqv+q76rfqteq16rXqt+q56r3qwurH6svq0OrT6tXq1urW6tTq0erN6snqw+q+6rrqt+q16rXqt+q86sPqzOrX6uTq8+sD6xPrI+sy60HrTuta62Tra+tx63Xrdut363brdOtx627ra+to62XrY+th61/rXutd61zrW+tb61nrV+tV61PrT+tM60jrROtA6z3rOes36zbrN+s56z3rQutJ61PrXutr63nriOuZ66rrvOvO69/r8ewB7BHsIOwu7DrsRuxQ7FrsYuxp7HDsdex67H/sguyF7IjsieyK7IrsiuyI7Ibsgux+7Hrsdexw7GrsZexh7F3sW+xa7FvsXuxj7Grsc+x/7IzsnOyt7L/s0uzm7PntDe0g7TPtRO1V7WTtcu2A7Y3tme2l7bHtve3K7djt5+337gnuHO4x7kfuX+547pLuru7J7uXvAe8c7zbvT+9n73zvkO+i77LvwO/L79Xv3O/i7+fv6u/t7+/v8e/07/bv+e/98ALwCPAP8BfwH/Ap8DPwPfBI8FLwXPBm8HDwefCC8IrwkvCa8KHwqfCx8Lrww/DN8Nfw4/Dw8P3xCvEZ8SfxNvFE8VLxX/Fr8Xbxf/GH8Y3xkvGV8Zfxl/GX8ZfxlvGV8ZXxlvGY8ZvxoPGn8bDxuvHG8dPx4fHw8gDyEPIg8jDyP/JO8lzyafJ18oDyi/KW8qHyrPK38sTy0vLg8vDzAvMU8yfzOvNP82Pzd/OK853zr/PB89Lz4vPy9AL0EvQj9DT0R/Rc9HL0ivSj9L302fT19RH1LvVJ9WP1ffWU9av1v/XT9eb1+PYK9h32MPZF9lz2dPaP9qv2yPbn9wb3JfdD92H3fPeW9633wvfV9+b39fgE+BP4Ivgy+ET4V/ht+IX4nvi4+NL47PkD+Rf5J/kx+TX5Mvko+RX4/Pjc+LX4ivhc+Cv3+ffJ95r3bvdH9yT3Bvbt9tr2yva/9rf2svau9qz2qvap9qj2pval9qX2pfam9qj2rfaz9rz2yPbV9uT29PcF9xb3J/c290T3T/dY9173Yfdi92H3Xvda91b3UvdQ91D3UvdX92D3a/d594r3nPew98X32vft+AD4EPge+Cr4M/g5+D34P/g/+D/4Pvg++D/4QPhE+En4UPhZ+GT4cPh9+Ir4mPil+LH4vPjF+Mz40fjV+Nb41fjS+M74yfjD+L34t/ix+Kz4p/ij+J/4nPia+Jn4l/iW+Jb4lfiU+JP4kviQ+I74jPiK+If4hfiC+H/4fPh6+Hj4dvh1+HT4dfh2+Hn4ffiD+Ir4k/ie+Kv4uvjL+N748/kK+SL5PPlW+XH5jPmm+cD52Pnv+gT6Fvom+jL6PPpD+kb6RvpD+j36Nfoq+h76EPoB+fH54vnS+cP5tfmo+Z35lPmN+Yf5hfmE+YX5iPmO+ZT5nPml+a/5ufnD+c351/nf+ef57vnz+fb59/n3+fT57/no+d/51fnI+br5rPmc+Y35fvlw+WT5WvlT+U/5T/lT+Vv5aPl5+Y75p/nE+eP6Bfoo+kz6cfqU+rf61/r2+xH7KvtA+1P7Y/tv+3n7gfuG+4n7ivuK+4j7hfuB+337d/ty+2v7Zftf+1n7U/tO+0v7SPtH+0f7SftN+1L7Wvti+2z7d/uD+5D7nPuo+7P7vvvH+8/71vvb++D74vvk++X75vvm++f75/vo++n76/vu+/H79vv7/AD8B/wO/BX8Hfwl/C78OPxB/Ez8Vvxh/Gz8d/yD/I78mvyl/LH8vPzH/NH82/zl/O/8+f0D/Q39GP0j/S/9O/1I/Vb9ZP1x/X/9jf2Z/aX9sP24/cD9xf3J/cv9zP3L/cr9yP3H/X/9gv2F/Yr9kP2Y/aL9rf25/cb91f3k/fP+A/4S/iH+MP4+/kv+V/5j/m7+ef6D/o7+mP6j/q7+uf7F/tH+3v7q/vf/A/8Q/xz/KP8z/z3/R/9Q/1n/Yf9q/3H/ef+B/4n/kv+b/6T/rv+4/8P/zv/Z/+T/8P/7AAYAEQAcACYAMAA6AEMATABUAF0AZQBtAHUAfQCGAI4AlgCfAKcAsAC5AMIAzADVAN8A6QD0AP4BCQEUAR8BKgE1AUEBTAFXAWEBbAF2AYABiQGRAZoBoQGoAa8BtQG7AcABxQHKAc4B0QHUAdcB2QHaAdsB2wHaAdgB1QHSAc0BxwG/AbgBrwGlAZsBkAGFAXoBbwFlAVsBUgFJAUIBPAE3ATMBMQEwATEBMgE1ATkBPgFEAUsBUwFcAWUBbwF6AYYBkgGfAawBugHIAdcB5gH2AgUCFAIiAjACPQJKAlQCXgJmAm0CcgJ1AncCeAJ3AnYCdAJyAm8CbAJqAmgCZwJmAmYCZwJoAmoCbAJvAnECcwJ1AncCeQJ6AnwCfQJ/AoIChgKLApICmwKmArMCwwLVAuoDAQMaAzQDTwNrA4YDnwO4A80D4APvA/sEAgQGBAQD/wP2A+kD2QPHA7IDnQOHA3EDWwNHAzMDIgMSAwQC+QLuAuUC3ALVAs0CxQK8ArICpgKZAooCeQJmAlMCPgIoAhIB/AHoAdQBwgGyAaQBmgGSAYwBigGKAYwBkAGVAZwBowGqAbIBuQG/AcQByQHNAdAB0gHUAdUB1gHYAdkB2wHdAeAB4wHmAekB7QHvAfIB8wH0AfMB8QHuAekB5AHdAdUBzAHDAbkBsAGmAZ0BlAGLAYMBewF0AWwBZQFeAVYBTgFFATwBMQEmARoBDQD/APAA4QDRAMEAsQCgAJAAfwBuAF4ATQA9ACwAGwAL//r/6f/Y/8f/tv+m/5X/hf90/2T/VP9E/zT/I/8R/v/+6/7V/r7+pf6J/mv+Sv4n/gH92v2x/Yf9XP0x/Qf83fy1/I/8a/xK/Cz8EPv2++D7yvu3+6T7kvt/+2z7V/tB+yn7D/rz+tb6tvqV+nP6UPot+gr56PnG+af5iPlr+VD5Nvke+Qf48fjc+Mb4sfic+IX4b/hY+ED4J/gO9/T32ve/96X3i/dx91f3Pvcl9wz29Pbc9sP2qvaR9nf2XPZA9iT2BvXn9cj1p/WH9Wb1RfUl9QX05vTH9Kr0jvRz9Fr0QvQr9BXz//Pr89bzwvOu85rzhvNx81zzRvMv8xnzAfLp8tHyuPKf8oXybPJS8jjyHfID8ejxzfGz8ZjxffFj8UnxL/EW8P7w5vDQ8Lvwp/CV8IXwdvBo8FzwUfBH8D7wNfAt8CXwHPAT8Arv/+/z7+fv2e/K77rvqu+Z74fvde9k71LvQO8w7x/vD+7/7u/u4O7Q7sHusO6f7o3uee5k7k7uNu4d7gLt5u3J7avtje1u7VDtMu0V7Prs4OzH7LHsnOyK7Hnsa+xe7FLsSOw/7DbsLuwm7B/sF+wP7Afr/+v36/Dr6Ovi693r2evW69Xr1evY69zr4uvp6/Lr/OwH7BLsHewo7DLsPOxD7ErsTuxR7FLsUexP7EvsR+xB7DvsNewv7CnsJewi7CDsIOwh7CPsKOwt7DPsOew/7ETsSOxJ7EjsQ+w57CzsGOwA6+Lrv+uX62rrOusH6tLqnOpn6jTqBOnZ6bPplOl96W3pZulm6W/pf+mW6bPp1On56iDqSOpw6pbqu+rd6vvrFusu60LrU+th62zrdut/64brjeuU65vrouuq67HruevA68frzOvR69Xr1+vZ69jr2OvV69Pr0OvN68vryevI68jryOvJ68rrzOvO69Dr0evR68/rzOvI68Lruuuw66XrmeuM63/rcutl61jrTetC6zjrL+so6yHrHOsX6xPrD+sL6wjrBesC6v/q/er76vnq+Or46vjq+er76v7rAOsE6wfrCusN6xDrEesS6xLrEOsO6wvrB+sD6v/q++r36vXq8+ry6vLq8+r16vjq++sA6wTrB+sL6w3rD+sP6w7rDesK6wfrA+r/6vvq+Or16vTq9Or26vrq/+sG6w7rF+si6y3rOOtD607rWOth62nrcet263vrf+uB64PrhOuE64Prg+uC64Hrf+t963vreOt163Lrbetp62PrXetX61DrSetC6zzrN+sy6y/rLest6y/rM+s560HrTOtY62brdeuG65frqeu7683r3uvv6//sDuwc7CrsNuxB7EvsVOxd7GXsbex17H3shOyL7JLsmeyf7KTsqeyt7LDss+y07LTss+yx7K7squyn7KPsn+yc7JrsmeyZ7Jvsnuyk7KvstOy/7Mvs2Ozm7PTtA+0S7SHtL+087UntVO1f7Wntc+187YXtj+2Z7aXtse2/7c/t4e317gvuI+497ljude6T7rHu0O7v7w3vKu9G72DveO+O76LvtO/D79Dv2+/k7+zv8u/27/nv/O//8AHwA/AF8AjwC/AP8BTwGfAf8CXwLPAz8DvwQvBK8FHwWfBg8Gjwb/B18Hzwg/CK8JDwmPCf8Kfwr/C48MHwy/DV8ODw6vD18QDxC/EV8R/xKPEw8TfxPPFB8UTxR/FI8UjxSPFH8UXxRPFE8UPxRPFG8UnxTvFV8V3xaPF08YHxkPGh8bLxxPHX8erx/fIQ8iPyNfJH8lnya/J88o3ynvKw8sHy0/Ll8vjzC/Me8zHzRPNX82rzfPOO85/zr/O/887z3fPt8/30DvQf9DL0R/Rd9HX0j/Sr9Mj05vUE9SP1QvVg9X31mPWy9cr14fX19gj2GvYr9jv2TPZc9m72gfaV9qr2wfbZ9vL3DPcm90D3Wvdz94r3oPe198f32ffo9/f4BfgS+B/4Lfg6+Ej4Vvhl+HT4g/iR+J74qviz+Lr4vvi/+Lz4tvis+J74jfh6+GP4S/gx+BX3+ffc97/3oveF92j3TPcw9xX2+/bh9sn2svad9or2evZt9mP2XvZc9l/2ZvZx9oH2k/ap9sD22fby9wr3Ifc190f3VPde92T3Z/dl92H3WvdS90n3QPc59zP3MPcw9zT3OvdF91L3Y/d194n3nvez98f32vfr9/r4BvgP+Bb4G/gd+B/4H/ge+B74Hvgf+CH4Jfgr+DL4O/hG+FH4Xfhp+HX4gfiL+JT4nPih+KX4p/im+KX4ofic+Jb4kPiJ+IL4e/h0+G74aPhj+F74WvhX+FT4UvhP+E34S/hJ+Eb4RPhB+D34Ovg2+DL4Lvgq+Cb4I/gh+B/4H/gh+CT4Kfgx+Dr4R/hW+Gj4fPiS+Kv4xvji+QD5Hvk9+Vz5evmX+bP5zPnj+fj6CfoX+iL6Kfot+i76K/om+h76FPoI+fr56/nc+cv5u/ms+Z35jvmB+Xb5bPlk+V75WvlZ+Vn5W/lf+WX5bPl1+X/5ifmU+Z/5qvmz+bz5wvnH+cr5yfnG+cD5t/mr+Zz5i/l3+WP5Tfk3+SL5Dvj8+O344PjY+NX41vjc+Of49/kM+SX5Qflg+YL5pfnJ+ez6D/ow+lD6bPqG+p36sfrC+tD63Prl+uv68fr0+vf6+Pr5+vr6+vr5+vj69/r2+vX68/rx+u/67frs+ur66frp+ur67Prv+vP6+Pr/+wf7EPsb+yX7Mfs8+0f7Uvtd+2b7b/t2+337gvuG+4n7jPuN+4/7kPuQ+5H7kvuT+5X7mPub+577o/uo+677tfu9+8X7zvvX++H77Pv3/AL8Dvwa/Cb8Mvw9/En8Vfxh/Gz8ePyD/I/8mvym/LL8vvzL/Nj85vz0/QL9D/0d/Sv9OP1E/U/9Wf1i/Wn9b/10/Xf9ev17/Xz9ff1+/Vj9Wv1d/WL9Z/1u/Xf9gP2L/Zf9pf2z/cH90P3f/e79/P4K/hj+JP4x/jz+R/5S/lz+Zv5x/nv+hf6Q/pv+pv6x/r3+yf7V/uD+7P74/wP/Df8Y/yL/K/80/z3/Rf9N/1X/Xf9l/23/dv9//4f/kf+a/6T/rv+4/8P/zv/Y/+P/7f/4AAIADAAWACAAKgAzADwARQBOAFYAXwBnAHAAeACAAIkAkgCbAKQArgC3AMEAzADWAOEA7QD4AQMBDgEaASUBMAE6AUQBTgFYAWEBaQFxAXkBfwGGAYwBkQGWAZoBngGhAaQBpgGoAagBqAGmAaQBoQGcAZcBkAGJAYABdwFtAWMBWAFNAUIBOAEuASUBHQEVAQ8BCgEHAQUBBAEEAQYBCQENARIBGAEfAScBLwE4AUIBTQFXAWMBcAF9AYoBmAGnAbYBxQHUAeMB8gIAAg0CGQIkAi0CNQI8AkACQwJEAkQCQwJBAj4COwI4AjUCMgIxAjACMAIyAjQCOAI8AkACRgJKAk8CVAJXAloCXQJeAl8CXwJgAmACYgJkAmgCbwJ3AoMCkQKiArYCzQLmAwADHQM6A1YDcgOMA6QDuQPJA9YD3gPiA+AD2wPRA8MDsgOeA4kDcwNcA0YDMQMdAwwC/ALvAuUC3ALVAs8CygLGAsECuwK1AqwCoQKUAoUCdAJgAkwCNQIfAggB8QHcAcgBtwGoAZwBkwGNAYoBiQGLAZABlgGdAaUBrQG1Ab0BwwHJAc4B0gHVAdgB2gHbAd0B3gHhAeQB5wHsAfEB9gH9AgMCCQIOAhMCFgIZAhkCGAIVAhACCQIAAfYB6wHfAdMBxgG5AawBoAGVAYoBfwF2AW0BZAFcAVMBSgFBATgBLQEiARYBCQD7AOwA3QDNAL0ArACbAIoAegBpAFgARwA3ACcAFwAG//b/5v/W/8b/tf+k/5T/g/9y/2D/Tv88/yn/Fv8C/uz+1v6+/qX+iv5t/k/+Lv4M/en9xP2d/Xb9T/0o/QH82/y2/JP8cfxR/DT8GPv+++b70Pu6+6b7kft9+2j7Uvs7+yP7Cvrv+tT6tvqY+nn6Wvo6+hv5/Pnd+cD5o/mH+Wz5Ufk4+R/5B/ju+Nb4vvim+I34dPha+EH4J/gN9/P32fe/96b3jfd19133Rfcu9xb2//bo9tD2t/ad9oP2Z/ZL9i32D/Xw9dD1r/WO9W71TvUu9Q/08fTV9Lr0oPSH9HD0WfRE9C/0G/QH8/Tz4PPN87nzpPOQ83rzZfNP8zjzIvML8vPy3PLE8q3ylfJ98mTyTPIz8hnx//Hl8crxr/GU8XnxXvFE8SrxEfD58OLwzfC58Kfwl/CJ8HzwcfBn8F7wVvBP8EfwQPA48C/wJvAb8BDwA+/27+fv1+/G77Xvo++R73/vbe9c70rvOe8p7xjvCO747uju1+7G7rTuoe6N7nfuYe5J7jDuFe367d7twe2j7Ybtae1N7THtFuz97Obs0Oy87KrsmeyL7H7sc+xp7GDsWexS7EzsR+xC7D7sOuw27DLsL+wt7CvsKuwp7CnsK+wt7DDsNew67EDsRuxN7FXsXOxj7GrscOx17Hnse+x87Hzse+x47HPsbuxo7GHsWuxS7EzsRexA7DzsOew47DjsOuw87EDsROxI7EzsTuxO7E3sSOxA7DPsIuwM6/Hr0uuv64frXesv6wHq0uqk6njqT+oq6grp8ene6dLpzenP6djp6On96hfqNOpV6njqm+q+6uDrAOse6znrUetm63nriOuV66Drqeuy67nrwOvH687r1evc6+Pr6uvw6/br++wA7APsBewG7AbsBOwC6//r/Ov46/Tr8evu6+zr6uvo6+jr5+vn6+fr5uvl6+Pr4Ovc69br0OvI67/rtuur66DrleuK63/rdOtr62LrWetS60zrRutC6z7rO+s46zbrNOsz6zLrMusy6zLrM+s06zXrN+s56zzrPutB60PrRutH60nrSetJ60nrR+tF60LrP+s86znrNusz6zDrL+su6y7rL+sx6zPrNus56zzrP+tB60TrRetG60XrROtC60DrPes56zbrM+sw6y3rLOsr6yvrLOsv6zLrNus760DrRutM61LrWOte62Traetu63Prd+t763/rg+uG64nrjOuO65DrkuuT65LrkeuQ643rieuE637reOtw62nrYeta61PrTetI60TrQ+tD60brS+tR61rrZetx63/rjuue667rvuvO693r6+v57AXsEOwa7CPsLOwz7DvsQuxJ7FDsV+xf7GfscOx57IPsjeyX7KDsqeyy7LrswezG7Mvsz+zR7NPs1OzU7NTs1OzV7Nbs2Ozb7N/s5Ozr7PTs/e0I7RPtH+0r7TjtRO1P7VrtZO1t7XXtfO2C7Yjtju2T7Zrtoe2p7bPtv+3N7d7t8e4G7h7uOO5U7nLuke6x7tHu8e8R7zDvTe9o74Lvme+u78Dv0O/d7+jv8e/57/7wA/AG8AnwC/AN8A7wEPAS8BTwF/Aa8B3wIfAl8CnwLvAz8DjwPvBE8ErwUPBX8F7wZfBt8HXwfvCH8JDwmvCk8K/wuvDE8M/w2vDk8O7w9/EA8QjxD/EV8RvxH/Ei8STxJfEm8SXxJPEj8SHxH/Ed8RvxGvEZ8RnxG/Ed8SHxJ/Et8TbxQPFL8VjxZvF28YbxmPGq8b3x0fHl8fnyDvIj8jnyTvJk8nrykPKm8rzy0vLp8v/zFfMr80DzVPNo83vzjfOf87DzwPPQ89/z7/P/9A/0IfQ09Ej0XfR09I30p/TD9OD0/vUc9Tr1WPV19ZH1q/XE9dv18PYC9hP2I/Yy9j/2TfZa9mj2dvaG9pf2qfa99tL25/b+9xX3K/dC91f3bPd/95D3oPeu97r3xPfN99X33Pfi9+j37vf09/r4AfgI+A/4F/gf+Cb4Lfg0+Dn4Pfg/+ED4Pvg6+DT4K/gf+BH4APft99f3v/ek94j3avdL9yz3DPbt9s72sfaX9n/2avZZ9kz2RPZA9kH2R/ZQ9l72b/aC9pj2rvbF9tv27/cC9xL3H/co9y/3Mvcy9zD3LPcm9yD3G/cV9xL3EPcR9xX3G/cl9zD3P/dP92D3cveF95f3qPe498b30vfc9+T36vfu9/D38vfz9/P39Pf19/f3+vf++AT4C/gT+Bz4Jvgw+Dv4RfhO+Ff4Xvhk+Gj4avhr+Gr4Z/hi+F34VvhO+EX4PPgz+Cr4IfgY+BD4CfgD9/33+Pf09/D37ffq9+j35vfk9+L34Pfe99z32vfY99f31vfW99b32Pfb9+D35/fx9/z4Cvgb+C74RPhc+Hb4kviv+M747fkL+Sr5SPlk+X35lfmq+bz5yvnV+d354vnj+eH53fnW+c35wvm2+an5nPmO+YD5c/lm+Vr5T/lF+T35Nvkw+Sz5Kfkp+Sn5LPkw+TX5PPlE+U35V/li+W35d/mB+Yr5kfmW+Zr5mvmY+ZP5i/mA+XL5YvlP+Tv5JvkQ+Pv46PjW+Mf4u/i0+LD4svi4+MP40vjm+P75GPk1+VT5c/mS+bH5zvnp+gL6GPoq+jr6RvpQ+lf6XPpf+mH6Yvpi+mL6Y/pk+mb6afps+nH6dvp7+oL6iPqO+pT6m/qh+qb6rPqx+rb6u/rA+sb6zPrS+tn64Pro+vH6+vsD+w37Fvsg+yr7M/s8+0T7TPtT+1n7X/tk+2j7bPtv+3P7dft4+3z7f/uD+4f7jPuR+5f7nvul+637tvvA+8r71Pvf++v79vwC/A38Gfwk/C/8OvxF/FD8Wvxk/G/8efyE/I/8mvym/LL8v/zL/Nj85fzy/P/9C/0X/SL9LP01/Tz9Q/1I/Uz9T/1R/VP9VP1W/Tz9Pf0//UL9Rv1M/VL9Wv1j/W79ef2G/ZT9ov2w/b/9zf3b/en99v4D/g/+Gv4l/i/+OP5C/kv+VP5d/mb+b/55/oP+jv6Z/qT+r/66/sb+0f7c/ub+8P76/wP/DP8U/xv/Iv8p/zD/Nv89/0T/S/9S/1r/Y/9s/3b/gP+L/5b/ov+v/7v/yP/V/+L/7//7AAcAEwAeACgAMgA8AEQATQBVAF0AZABsAHQAewCDAIwAlACdAKcAsQC7AMYA0QDcAOcA8wD+AQoBFQEgASoBNQE+AUcBUAFYAWABZwFtAXMBeAF9AYABgwGFAYYBhgGFAYMBgAF7AXUBbwFnAV4BVQFKAUABNQEqAR8BFQELAQIA+gDzAO4A6QDmAOUA5QDmAOgA6wDwAPUA+wECAQoBEgEbASQBLgE5AUMBTwFbAWcBdAGCAY8BnQGrAbgBxQHRAd0B5wHwAfgB/gIDAgYCCAIIAgcCBgIDAgEB/gH8AfoB+QH5AfsB/QIAAgUCCgIQAhYCHAIiAigCLAIwAjICMwI0AjMCMQIwAi4CLQItAi8CMwI6AkQCUAJgAnMCiQKiAr0C2QL2AxQDMANLA2QDegOMA5oDowOoA6gDpAObA48DgANvA1wDSAM0AyEDDgL+AvAC5ALaAtICzALIAsUCwgK/ArwCtwKxAqgCnQKQAoECbwJbAkUCLwIYAgIB7AHYAcYBtgGpAZ8BmAGVAZQBlgGaAaABqAGwAbgBwQHJAdAB1gHbAd8B4gHlAecB6QHqAe0B8AH0AfkCAAIHAhACGQIjAi4COAJBAkkCTwJTAlUCVQJRAksCQwI4AioCGwIKAfgB5QHSAcABrgGcAYwBfQFuAWIBVQFKAUABNgEsASIBGAEOAQMA9wDqANwAzgC/ALAAoACQAH8AbwBeAE4APgAuAB4AD/////D/4P/R/8H/sf+g/4//fv9s/1n/Rv8x/xz/Bv7v/tb+vf6i/of+av5M/i3+Df3s/cr9p/2E/WD9Pf0a/Pf81fyz/JP8c/xV/Dj8HPwB++j7z/u3+5/7iPtw+1n7Qfsp+xD69/rd+sP6qPqN+nH6Vfo6+h76Avnn+cz5svmX+X35ZPlK+TH5F/j++OT4y/ix+Jf4ffhj+En4MPgW9/335PfL97P3mveD92v3U/c79yP3C/bx9tf2vPag9oP2ZfZG9if2BvXm9cX1pPWE9WT1RfUn9Qr07/TV9L30pfSP9Hr0ZvRS9D/0LPQZ9Abz8/Pf88vzt/Oi847zePNj807zOfMk8w/y+vLl8tDyvPKn8pLyfPJn8lDyOPIg8gfx7fHT8bjxnfGB8WbxS/Ey8RnxAfDs8NfwxfC18KfwmvCP8IbwffB28G/waPBh8FrwUvBJ8D7wM/Am8BfwCO/37+Xv0u+/76vvmO+E73HvXu9L7znvKO8X7wbu9e7l7tTuw+6x7p7ui+527mDuSu4y7hnt/+3k7cntre2R7XbtW+1B7SjtEOz67Obs1OzE7Lbsqeyf7JfskOyL7IjsheyE7IPsguyC7ILsguyC7ILsgeyB7IDsf+x+7H3sfOx77Hvseux67Hvse+x87Hzsfex97H3sfOx77Hjsdexx7GzsZexe7FfsTuxG7D3sNewt7CfsIewd7BvsGuwb7B7sIuwn7C3sM+w57D7sQexC7EDsPOwz7CfsF+wE6+zr0euz65PrcutQ6y/rD+rx6tbqv+qs6p7qluqS6pXqnOqn6rfqy+rh6vnrE+st60brX+t264zroOux68HrzuvZ6+Lr6uvx6/fr/OwB7AXsCewO7BLsFewZ7BzsH+wh7CPsJOwk7CPsIewe7BvsF+wT7A/sC+wH7APr/+v86/jr9uvz6/Hr7uvr6+jr5evh69zr1+vR68vrxOu967brruun65/rmOuS64zrhuuB633reet263Prcetv627rbets62vra+tr62vra+tr62zrbett627rb+tw63Hrcuty63Lrcuty63HrcOtv623rbOtr62nraOto62jraOtp62rrbOtu63HrdOt363rrfOt/64HrguuD64PrguuB64Drfet763jrdutz63Drbuts62rraetp62jraetp62rra+ts627rb+tx63PrdOt263jre+t964Drg+uG64rrjeuR65Trl+ua65zrnuuf65/rneub65nrleuR64zrh+uC633reet263Trcuty63Trd+t864LrieuR65rrpOuu67jrwuvL69Tr3Ovj6+rr8Ov16/rr/uwD7AjsDewT7BrsIuwr7DbsQexN7Fvsaex37IXsk+yh7K7su+zG7NDs2ezh7Ojs7uzz7Pjs/e0B7QbtDO0S7RntIe0q7TTtPu1K7VbtYu1u7Xrthu2Q7Zrto+2r7bLtuO297cLtxu3L7dHt1+3f7ejt8+4B7hHuI+447k/uaO6D7p/uve7a7vnvF+8071Dvau+D75rvru/A79Dv3u/p7/Pv+/AB8AbwCvAN8A/wEvAU8BbwGPAa8BzwH/Ah8CTwJ/Ar8C7wMvA28DvwQPBF8EvwUfBY8GDwafBz8H3wiPCU8KDwrfC68Mfw1PDg8Ozw9/EB8QrxEvEZ8R7xIfEk8SXxJPEj8SDxHfEZ8RXxEfEM8QjxBPEB8P/w/fD98P7w//EC8QfxDfEU8RzxJvEx8T3xS/FZ8WnxevGM8Z/xs/HI8d3x9PIL8iPyO/JU8m3yh/Kh8rry1PLt8wbzHvM280zzYvN384vznvOx88Pz1PPl8/f0CPQa9C30QfRV9Gv0gvSb9LX0z/Tr9Qf1I/U/9Vv1dvWP9af1vvXS9eX19vYF9hL2HvYp9jT2PvZI9lL2XvZq9nf2hvaV9qX2t/bI9tr26/b79wv3Gfcl9y/3N/c890D3QfdA9z73Ovc29zH3LPcn9yP3IPcf9x73IPcj9yf3LPcz9zv3QvdK91L3WPde92L3Zfdl92P3X/dY90/3RPc29yX3FPcA9uz21/bB9qz2mPaF9nP2ZPZX9k32RfZB9kD2QvZH9k72V/Zi9m/2fPaK9pj2pfay9r32x/bP9tX22vbe9uH24vbj9uT25fbn9un27fby9vj3APcK9xX3Ifcu9z33S/da92j3dveE95D3m/el9673tfe798H3xffI98z3zvfR99T31/fb99/35Pfp9+739Pf6+AD4BfgK+A/4E/gW+Bf4GPgX+BX4EfgN+Ab3//f39+735Pfa98/3xfe797H3p/ef95f3kfeL94b3gveA9373ffd893z3ffd+93/3gfeC94T3hveI94v3jveS95f3nvel96/3uvfI99f36ff8+BL4KfhB+Fv4dfiP+Kr4xPjc+PP5Cfkc+Sz5OvlF+U75U/lW+Vf5VflS+U35R/lA+Tj5MPko+SD5GPkR+Qv5BvkB+P34+vj5+Pj4+Pj5+Pv4/vkC+Qf5DfkU+Rv5JPks+TX5PvlG+U75VPlZ+V35Xvld+Vr5VPlL+UD5M/kk+RT5A/jy+OH40fjD+Lj4sPir+Kv4rvi2+MP40/jn+P/5Gfk1+VP5cPmO+ar5xPnc+fH6BPoS+h76Jvor+i36Lfor+in6Jfoi+h/6Hfoc+h36H/oj+ir6Mvo7+kb6Ufpe+mr6d/qE+pH6nPqo+rL6vPrF+s361frc+uP66vrx+vj6//sH+w/7F/sg+yn7Mvs7+0X7TvtX+2D7aPtw+3j7fvuF+4v7kPuW+5v7oPuk+6r7r/u0+7r7wfvI+9D72Pvh++v79Pv+/Aj8E/wd/Cf8Mfw6/EP8TPxU/Fz8Y/xq/HL8efyA/Ij8kPyZ/KL8rPy2/MH8zPzY/OP87vz6/QT9Dv0X/R79Jf0r/TD9M/02/Tj9Of06/Rn9Gv0c/R39IP0j/Sf9Lf00/Tz9Rv1Q/Vz9aP12/YP9kf2e/az9uf3F/dH93P3m/fD9+f4B/gr+Ef4Z/iH+Kf4y/jr+Q/5N/lf+Yf5s/nf+gf6M/pf+of6r/rT+vP7E/sz+0v7Z/t/+5P7q/u/+9f77/wH/Cf8R/xr/JP8v/zv/R/9V/2P/cf+A/4//nv+t/7v/yf/W/+P/7//6AAQADQAWAB4AJgAtADQAPABDAEsAUwBcAGUAbwB6AIUAkQCdAKkAtgDDANAA3QDqAPcBBAEPARsBJgEwAToBQwFLAVMBWQFfAWQBZwFqAWsBawFqAWcBYwFeAVcBUAFHAT0BMwEoARwBEAEFAPkA7gDkANsA0wDMAMYAwgC/AL4AvgDAAMMAxwDMANIA2ADgAOgA8AD5AQIBDAEWASABKwE2AUEBTAFYAWMBbwF6AYUBkAGaAaMBqwGyAbkBvQHBAcQBxgHHAccBxwHGAcYBxgHGAccByQHLAc8B0wHYAd4B5AHrAfEB9gH7Af8CAgIEAgQCAwIBAf4B+gH2AfMB8AHvAe8B8gH4AgECDQIdAjACRwJgAnwCmQK3AtYC9AMRAysDQwNYA2gDdAN8A4ADfwN6A3EDZgNYA0kDOQMoAxgDCQL7Au4C4wLaAtMCzQLIAsMCvwK6ArUCrQKkApoCjQJ9AmwCWQJEAi4CGAIBAesB1wHEAbQBpgGbAZMBjgGMAYwBkAGVAZwBpAGsAbUBvQHFAc0B0wHYAdwB4AHjAeYB6QHsAfEB9gH9AgUCDgIZAiUCMgI/AkwCWQJlAm8CdwJ8An8CfwJ7AnQCaQJbAksCOAIjAgwB9QHdAcUBrQGXAYEBbQFbAUsBOwEuASIBFgEMAQIA+ADuAOQA2QDOAMIAtQCoAJkAiwB7AGwAXABMADwALAAdAA3//v/v/9//0P/B/7H/of+Q/3//bP9Z/0X/L/8Z/wH+6P7O/rP+l/56/lz+Pv4e/f/93/2//Z79fv1e/T39Hvz+/N/8wPyi/IT8Z/xK/C78Evv3+9z7wfun+437c/tZ+z/7JfsL+vL62Pq/+qb6jPpz+lr6Qvop+hH5+Png+cj5sPmX+X/5ZvlO+TX5HPkC+On4z/i2+Jz4gvhp+E/4Nvgd+AT37PfU97z3pPeL93P3WvdB9yb3C/bv9tL2tPaV9nX2VfYz9hH17/XN9az1i/Vr9Uz1LvUS9Pf03fTF9K/0mfSF9HL0X/RM9Dr0J/QV9ALz7vPb88fzs/Of84rzdvNi80/zPPMp8xfzBvL18uXy1PLE8rTyo/KR8n/ya/JX8kHyKvIR8fjx3fHC8abxi/Fw8VXxO/Ej8Qzw9/Dl8NPwxfC38KzwovCa8JLwi/CE8H3wdfBt8GPwWPBM8D/wMPAf8A7v++/o79Tvv++r75fvg+9v71zvSu857yjvF+8H7vju6O7Y7sfutu6k7pDufO5m7k/uN+4e7gTt6e3O7bLtl+197WTtTO017SHtD+z/7PLs5+ze7Njs1OzS7NHs0uzU7Nbs2Oza7Nzs3eze7N3s2+zY7NTsz+zJ7MLsu+yz7Kzspeye7JjskuyN7IjshOyB7H7seux37HPsbuxp7GPsXOxT7ErsQOw27CvsIOwW7AzsBOv+6/nr9+v36/rr/+wH7BHsHuwr7DnsSOxW7GLsbex27Hvsfux87Hbsbexg7E/sPOwl7A7r9evc68TrreuY64brdutr62TrYOtg62Tra+t264Prkeuh67Lrw+vU6+Tr8+wA7AzsF+wf7CbsLOww7DPsNew37DjsOew67DrsO+w77DzsPew97D7sPuw97D3sPOw67DjsNewy7C7sKuwm7CHsHOwX7BLsDewI7APr/uv66/Xr8Ovs6+jr4+vf69zr2OvV69Hrz+vM68rrx+vF68TrwuvB67/rvuu867vrueu467brtOuy66/rreuq66jrpeuj66Drnuuc65rrmOuW65Trk+uS65HrkOuQ64/rj+uP65DrkOuR65PrlOuX65nrnOuf66Prp+ur66/rtOu467zrwOvD68bryOvK68vrzOvM68zry+vK68jrxuvF68LrwOu+67zrueu367Xrsuuw663rq+uo66Xrouuf65zrmuuX65Xrk+uS65HrkeuR65Hrk+uV65frmuuc65/rouuk66frqeuq66vrrOus66zrq+uq66nrqOun66frp+un66jrqeur663rsOuz67brueu867/rwuvE68bryOvJ68rrzOvN68/r0evU69jr3uvl6+3r9+wC7A/sHuwu7D7sUOxj7HXsiOya7KzsvezM7Nvs6ez17QDtCu0T7RvtI+0r7TPtOu1C7UvtVO1e7Wjtc+1/7Yrtlu2i7a3tuO3D7c3t1u3e7eXt7O3y7fjt/u4E7gvuEu4b7iXuMu4/7k/uYe507oruoe657tPu7e8H7yLvPO9V723vg++Y76vvve/M79nv5e/v7/fv/vAE8AjwDfAQ8BTwF/Aa8B7wIfAl8CjwLPAw8DTwOfA98EHwRvBL8FDwVfBb8GHwaPBv8HfwgPCK8JXwoPCr8LjwxPDQ8N3w6fD08P/xCPEQ8RfxHfEh8SPxJPEj8SHxHvEa8RXxEPEK8QTw/vD58PTw7/Ds8Onw6PDo8Onw6/Dv8PPw+fEB8QnxE/Ee8SvxOfFH8VjxafF88ZDxpvG88dTx7PIG8iDyOvJW8nHyjPKn8sLy3PL28w/zJ/M981PzaPN885DzovO088fz2fPr8/70EfQm9Dv0UvRq9IP0nfS49NT08PUM9Sn1RPVf9Xn1kfWn9bz1zvXf9e31+vYE9g72FvYd9iT2K/Yy9jn2QfZK9lT2XvZp9nX2gPaM9pf2ofap9rH2tfa49rj2tvax9qn2n/aT9oX2d/Zn9lf2SPY59iv2H/YW9g72CfYG9gb2CfYN9hT2HPYm9jH2PPZI9lP2XvZo9nH2ePZ+9oP2hvaH9ob2hPaB9nz2d/Zx9mr2Y/Zc9lX2TvZI9kP2P/Y79jn2N/Y39jj2OvY99kH2RfZK9lD2VvZd9mT2a/Zy9nn2gPaH9o72lfac9qP2qvay9rr2wvbK9tP23Pbm9vD2+/cG9xL3Hfcp9zb3QvdO91n3Zfdw93v3hfeO95f3n/em96z3sfe297n3vPe+98D3wffC98L3wffB98D3v/e997z3uve497X3s/ew96z3p/ei9533lveP94j3gPd39273Zfdb91L3SfdB9zn3Mvcs9yf3JPch9x/3H/cf9yH3I/cl9yj3K/ct9zD3M/c29zj3Ovc99z/3QvdG90r3T/dW9173aPdz94H3kPeg97P3xvfa9+/4Bfga+C/4RPhX+Gn4efiI+JX4oPip+LH4tvi7+L74v/jA+MH4wfjB+MD4wPjA+MD4wfjC+MP4xfjG+Mn4y/jO+NL41fjZ+N744/jo+O348/j5+P/5BPkK+Q/5E/kW+Rj5GPkX+RT5EPkJ+QH49/js+OH41fjJ+L34s/ir+KX4ovij+Kb4rvi6+Mr43fj0+Q35KvlH+Wb5hvmk+cL53vn3+g76Ifox+j36RvpL+k36TfpK+kf6Qvo8+jf6M/ow+i76L/ox+jb6PPpF+lD6XPpp+nf6hvqV+qT6s/rB+s762vrl+u/6+fsB+wn7EPsW+x37I/sq+zH7OPtA+0j7UPtZ+2L7bPt1+377iPuQ+5n7oPuo+677tPu6+777w/vH+8v7z/vT+9f72/vg++X76/vx+/j7//wH/A/8Fvwe/Cb8Lfw0/Dv8QfxH/E38UvxX/Fz8Yfxm/Gz8cvx4/ID8iPyQ/Jr8pPyu/Ln8xPzP/Nr85Pzu/Pf8/v0F/Qv9D/0T/RX9F/0Y/Ov87Pzt/O788Pzy/Pb8+vz+/QX9DP0U/R79KP0z/T/9S/1X/WT9cP17/Yf9kf2b/aX9rv22/b79xf3M/dT92/3i/er98v36/gP+DP4V/h/+KP4y/jz+Rv5P/lj+Yf5p/nH+eP5+/oX+i/6R/pb+nP6i/qn+sP64/sH+y/7V/uD+7f76/wf/Fv8k/zP/Qv9R/2D/bv98/4n/lv+i/63/t//B/8v/1P/e/+f/8P/5AAMADQAYACMALwA8AEkAVgBkAHMAggCRAKAAsAC/AM4A3ADqAPgBBQERARwBJwEwATkBQAFHAUwBUAFSAVMBUwFRAU4BSQFDATsBMgEpAR4BEgEGAPoA7gDhANUAygDAALcArwCoAKMAnwCdAJ0AngCgAKMAqACuALQAuwDDAMwA1ADdAOcA8AD5AQMBDAEVAR8BKAExAToBQwFLAVMBWwFiAWgBbgFzAXcBewF+AYABggGDAYQBhQGHAYgBigGNAZABlAGZAZ4BpAGrAbEBuAG+AcQByQHNAdAB0gHSAdEBzwHLAccBwwG/AbsBuAG3AbgBuwHCAcsB2AHoAfsCEgIrAkcCZAKDAqECvwLdAvgDEQMnAzkDRwNSA1gDWwNZA1UDTQNDAzcDKgMcAw4DAALzAuYC2wLQAscCvwK3Aq8CqAKgApcCjAKBAnQCZQJVAkMCMAIcAgcB8gHeAcsBuQGoAZoBjgGFAX8BfAF7AXwBgAGFAYwBkwGbAaMBqwGzAbkBwAHFAcoBzgHSAdcB2wHgAeYB7QH2Af8CCgIWAiMCMQI+AkwCWAJkAm4CdQJ6AnwCegJ1Am0CYQJSAkACLAIWAf0B5AHLAbEBmAF/AWgBUgE+ASwBHAENAP8A8wDoAN0A0wDJAL8AtQCqAJ8AkgCFAHgAagBbAEwAPQAuAB4ADwAA//D/4f/S/8T/tf+l/5X/hf90/2H/Tv85/yP/DP7z/tn+vv6i/oT+Zv5H/if+B/3o/cj9qP2I/Wn9S/0t/Q/88vzW/Lr8nvyD/Gj8Tfwz/Bj7/fvi+8f7rPuR+3b7W/tA+yX7C/rx+tf6vfqk+oz6dPpd+kb6L/oZ+gP57fnX+cH5q/mU+X35ZvlP+Tf5HvkF+Oz40/i5+J/4hvht+FP4Ovgi+An38ffZ98H3qPeQ93f3XfdC9yf3C/bu9s/2sPaQ9m/2TfYr9gn15/XG9aX1hfVl9Uf1K/UQ9Pb03vTH9LH0nfSJ9Hb0Y/RQ9D70K/QY9AXz8fPd88nztfOh843zevNn81XzRPMz8yPzFfMG8vny7PLf8tLyxPK28qfylvKF8nHyXPJG8i7yFPH68d7xwvGm8Yrxb/FU8TvxI/EN8Pnw5/DX8MnwvfCz8KnwofCa8JLwi/CE8Hzwc/Bo8F3wUfBD8DTwJPAT8ALv7+/d78rvt++k75LvgO9v717vTe887yvvGu8J7vju5e7S7r7uqe6S7nvuYu5J7i/uFe367eDtxu2u7Zbtge1t7VztTO1A7TbtL+0q7SftJu0o7SrtLe0w7TPtNu057TrtOu047TTtL+0p7SHtF+0N7QLs9uzr7ODs1ezL7MPsu+y07K7squyl7KLsnuyb7JbskeyL7ITse+xx7GXsWexL7D3sLuwg7BPsCOv+6/jr9Ovz6/fr/uwJ7BfsKew97FTsbOyF7J7stuzM7N/s7+z87QTtB+0G7P/s9ezm7NTsv+yo7JDsd+xe7EbsMewd7A3sAOv26/Dr7uvu6/Lr+ewB7AvsF+wi7C7sOuxE7E7sVuxd7GLsZuxo7Gnsauxp7GjsZuxk7GLsYexg7F/sX+xf7F/sYOxh7GLsY+xj7GPsY+xi7GDsXexa7FXsUexL7EXsP+w47DHsK+wk7B7sGOwT7A/sC+wI7AbsBewE7ATsBOwF7AbsB+wJ7ArsC+wM7AzsDOwL7ArsB+wF7ALr/uv66/Xr8Ovr6+Xr4Ovb69br0evM68jrxOvB677ru+u567jrtuu267Xrteu167brt+u567vrvuvB68TryOvM69Dr1eva69/r5Ovq6+/r8+v46/zsAOwE7AfsCewL7A3sDuwP7A/sDuwO7A3sDOwK7AjsBuwD7ADr/ev56/Xr8evt6+jr4+ve69nr1OvP68rrxuvC67/rvOu567frtuu267brt+u467rrvOu/68LrxOvH68rrzevP69Hr0+vV69fr2Ova69vr3Ovd697r3+vf6+Dr4Ovg6+Dr4Ovg69/r3uvd69zr2+va69nr2eva69vr3evg6+Xr7Ovz6/3sCOwV7CPsM+xE7FbsaOx87I/so+y27Mns2+zs7PztC+0Z7SXtMe087UbtT+1Y7WHtau1y7Xvtg+2M7Zbtn+2p7bPtvO3G7c/t2O3h7ent8e347f/uBu4M7hPuGu4h7inuMu497knuVu5l7nXuh+6b7rDuxu7d7vXvDe8m7z7vVe9s74Hvle+n77jvx+/V7+Hv6+/07/zwA/AJ8A7wE/AX8BzwIPAk8CnwLvAz8DjwPfBC8EjwTfBS8FjwXfBi8GjwbfBz8HnwgPCH8I7wlvCe8KfwsPC68MPwzfDX8OHw6/D08PzxBPEK8RDxFPEX8RnxGvEa8RnxF/EU8RHxDfEK8QbxAvD/8Pzw+fD48Pfw9/D48Pnw/PEA8QXxC/ES8RrxJPEv8TvxSfFY8WjxevGO8aPxufHR8eryA/Ie8jnyVPJw8ovypvLA8tny8vMJ8x/zNPNH81nza/N884vzm/Or87vzzPPd8/D0BPQZ9DD0SPRi9H30mfS29NP08fUO9Sv1R/Vh9Xr1kPWl9bf1x/XV9eH16vXy9fn1/vYD9gj2DPYR9hb2HPYi9in2MfY59kH2SfZR9lj2XfZh9mP2Y/Zg9lv2U/ZI9jz2LPYb9gn19fXh9c31ufWm9ZX1hfV49W31ZfVf9Vz1XPVe9WP1avVy9Xz1iPWU9aD1rfW69cf10/Xe9en18/X79gP2CvYQ9hT2GPYb9h32HvYe9h32HPYb9hj2FvYT9hD2DfYL9gj2B/YF9gX2BfYH9gn2DPYR9hb2HfYk9i32NvY/9kn2VPZe9mj2c/Z99of2kPaZ9qL2q/a09rz2xfbO9tf24fbr9vb3AfcN9xr3J/c090H3Tvdb92f3cvd994b3jfeU95j3m/ed95z3m/eY95T3j/eJ94P3fPd192/3aPdi91z3V/dS9033SPdE9z/3Ovc19y/3Kfcj9x33FfcO9wb2//b39vD26vbk9t/22vbX9tX21PbT9tT21fbX9tn23Pbe9uD24vbk9uX25fbm9ub25vbm9ub25vbo9uv27/b09vv3BPcO9xv3Kfc490n3W/du94L3lfep97z3z/fh9/H4AfgP+B34KPgz+D34RfhN+FT4Wvhh+Gb4bPhy+Hf4ffiC+Ij4jfiT+Jj4nfij+Kf4rPix+LX4ufi++MH4xfjI+Mz4z/jR+NT41fjW+Nb41vjV+NL4z/jL+Mb4wPi6+LT4rvip+KT4ofif+KD4o/io+LH4vPjL+N348vkK+ST5QPld+Xv5mvm4+dX58PoJ+iD6NPpE+lL6XPpj+mf6afpo+mb6Yvpe+lr6VvpT+lH6UPpR+lX6Wvph+mr6dPqA+o36mvqo+rb6xPrR+t766vr1+v/7CPsQ+xf7Hvsk+yr7L/s1+zv7QftI+0/7V/tf+2j7cPt5+4L7i/uT+5v7ovuo+677s/u3+7r7vfu/+8H7wvvD+8X7xvvI+8r7zPvP+9P71/vc++H75/vs+/L7+Pv+/AT8CfwP/BT8Gfwe/CL8J/ws/DL8N/w+/EX8TPxV/F78aPxy/H38iPyT/J/8qfy0/L78xvzO/Nb82/zg/OT85/zp/Kr8rfyw/LL8tfy4/Lv8v/zE/Mn80PzX/N/86Pzy/Pz9B/0S/R79Kf00/T/9Sf1T/V39Zv1u/Xb9ff2E/Yv9kv2Y/Z79pP2r/bH9uP2//cb9zv3V/d395f3s/fT9/P4D/gr+Ev4Z/iD+J/4u/jX+Pf5F/k3+Vv5f/mn+dP5//ov+mP6l/rP+wf7P/t7+7P77/wn/F/8l/zL/P/9M/1j/ZP9v/3r/hf+Q/5v/pv+y/73/yf/W/+P/8P/+AA0AHAAsADsASwBcAGwAfQCNAJ4ArQC9AMwA2wDoAPUBAgENARcBIAEoAS4BMwE3ATkBOQE4ATUBMQEsASUBHQETAQkA/gDzAOcA2wDQAMUAugCxAKgAoQCbAJYAkwCRAJAAkQCTAJYAmgCfAKQAqwCxALgAvwDHAM4A1gDdAOQA7ADyAPkBAAEGAQwBEgEXARwBIAEkASgBKgEtAS8BMQEyATIBMwE0ATQBNQE2ATgBOgE8AUABRAFIAU4BUwFaAWABZgFsAXIBdwF8AX8BgQGDAYMBggGBAX8BfQF7AXkBeQF5AXwBgAGHAZABnAGrAbwB0AHmAf4CFwIyAkwCZgKAApgCrgLBAtIC3wLqAvEC9AL1AvMC7gLnAt4C1ALJAr0CsgKmApsCkQKHAn4CdQJtAmQCXAJUAksCQQI2AisCHgIRAgMB8wHkAdQBxQG2AagBmgGPAYUBfQF3AXMBcQFxAXMBdgF7AYABhwGNAZQBmwGiAagBrgGzAbkBvQHCAccBzQHSAdkB4AHpAfIB/AIGAhICHQIoAjMCPAJFAkwCUAJSAlICTgJIAj4CMgIjAhIB/gHoAdIBugGhAYkBcQFaAUQBLgEbAQgA9wDoANkAzAC/ALMAqACcAJEAhQB5AG0AYABTAEYAOAAqABwADv////H/4//W/8j/u/+t/5//kf+C/3P/Y/9R/z//K/8V/v7+5f7L/q/+kv5z/lT+M/4T/fL90f2w/Y/9cP1R/TP9Ffz5/N78w/yp/JD8ePxf/Ef8L/wW+/775fvL+7L7mPt9+2P7SPst+xL6+Prd+sT6q/qS+nr6Y/pM+jb6IfoM+ff54/nO+br5pfmQ+Xv5ZflO+Tf5IPkI+PD41/i++Kb4jfh0+Fz4Q/gr+BP3/Pfk98z3tPec94P3avdR9zb3G/b+9uH2w/ak9oX2ZfZE9iT2A/Xj9cT1pfWH9Wv1T/U19Rz1BPTu9Nj0w/Sv9Jz0ifR19GL0T/Q89Cj0FPQA8+zz2PPE87DznPOJ83fzZvNV80XzNvMo8xvzDfMA8vPy5vLY8snyufKn8pXygPJq8lPyOvIg8gXx6PHM8a/xk/F38VzxQvEq8RPw//Ds8NvwzPC/8LPwqfCg8JjwkPCJ8ILwe/Bz8GvwYfBY8E3wQfA18CjwGvAL7/zv7O/c78vvu++p75jvh+9072LvT+877ybvEe777uTuzO607pvuge5n7k7uNO4c7gTt7e3Z7cXttO2l7Zntj+2H7YHtfu197X3tfu2B7YPthu2J7YvtjO2L7Ynthu2B7Xrtcu1o7V7tU+1H7TztMe0m7RztE+0M7QbtAez97Pvs+ez37Pbs9Ozx7O3s6Ozh7NjszezA7LLsouyQ7H7sbOxb7EvsPewy7CvsJ+wn7CzsNuxF7Fjsb+yK7KjsyOzp7QrtKu1J7WTtfO2Q7Z7tp+2r7ajtoO2T7YHtau1R7TTtFuz47Nrsveyh7Insc+xh7FPsSexC7D/sP+xD7EjsUOxY7GLsa+x17H3sheyL7JDsk+yV7JXslOyS7JDsjeyK7IfshOyC7IDsf+x/7H/sgOyC7ITshuyI7IrsjOyN7I3sjOyL7IjsheyB7Hzsd+xx7GvsZexf7FnsVOxP7EvsSOxG7EXsROxE7EXsRuxH7EnsS+xM7E3sTuxO7E3sTOxJ7EfsQ+w+7DnsNOwu7CjsIuwc7BfsEewM7AfsA+v/6/zr+ev36/Xr8+vx6/Dr7+vu6+3r7Ovs6+vr6uvq6+rr6uvq6+rr6+vt6+/r8ev06/fr+uv+7APsB+wM7BDsFewZ7B7sIewl7CnsLOwu7DDsMuwz7DTsNew17DTsNOwz7DHsMOwu7CzsKewn7CTsIewe7BvsGOwV7BHsDuwM7AnsB+wF7APsAewA7ADr/+v/6//sAOwA7AHsAuwD7AXsBuwI7AnsC+wM7A7sEOwR7BPsFewW7BjsGuwb7B3sHuwg7CHsIuwj7CTsJewm7CfsKOwq7CvsLeww7DPsN+w87ELsSexR7FrsZOxv7HvsieyW7KXstOzD7NPs4uzy7QHtD+0d7SvtN+1D7U/tWu1k7W7td+2A7Yntku2a7aLtq+2z7bvtw+3L7dPt2u3h7ejt7+317fvuAe4G7gzuEe4X7h3uJO4s7jTuPu5J7lbuZO5z7oTul+6r7sDu1u7s7wPvGu8y70jvXu9074jvm++s77zvyu/X7+Lv7O/07/zwAvAI8A3wEvAW8BrwHvAi8CfwK/Av8DTwOfA+8EPwSPBN8FHwVvBc8GHwZvBr8HHwdvB88IPwivCR8JjwoPCp8LHwuvDD8Mzw1vDf8Ofw8PD48P/xBvEM8RLxF/Ec8SDxI/En8SnxLPEu8TDxMvE08TbxOPE78T3xQPFE8UfxS/FQ8VXxW/Fi8Wrxc/F98YjxlPGi8bLxwvHV8ejx/fIT8ivyQ/Jb8nTyjfKm8r/y1vLt8wPzF/Mq8zzzTPNb82nzdvOC847zmvOm87PzwfPQ8+Dz8fQF9Br0MPRI9GL0fPSY9LP0z/Tq9QX1HvU29Uz1YfVz9YP1kPWc9aX1rfWz9bj1vfXB9cX1yPXN9dL11/Xe9eX17PX19f32BvYO9hX2HPYh9iX2JvYm9iP2HvYX9g72A/X29ej12PXI9bj1qPWZ9Yv1fvVy9Wj1YPVa9VX1U/VT9VT1VvVa9WD1ZvVs9XT1e/WD9Yv1k/Wa9aH1qPWu9bT1ufW+9cL1xvXJ9cv1zfXN9c71zfXM9cr1yPXG9cP1wfW+9bz1uvW59bn1uvW89cD1xPXK9dH12vXj9e71+fYE9hD2HPYo9jP2PvZI9lL2WvZi9mn2cPZ29n32g/aJ9o/2l/af9qj2sva99sn21vbk9vP3AfcQ9x/3Lfc690b3UPdZ92D3Zfdo92n3aPdm92L3XfdW90/3R/c/9zf3L/cn9yD3GvcU9w73CfcE9v/2+vb19vD26/bl9t/22PbR9sr2wva79rP2rPal9p/2mfaV9pH2jvaM9ov2ivaL9oz2jfaO9pD2kfaS9pP2lPaU9pT2lPaU9pT2lfaW9pj2m/ag9qX2rPa19r/2y/bY9uf29vcH9xj3Kfc79033Xvdu9373jfec96n3tffB98z31vfg9+r38/f8+AX4DvgX+CH4Kvg0+D74R/hQ+Fn4Yvhq+HH4ePh++IP4iPiL+I74kfiS+JT4lPiU+JT4lPiU+JT4k/iT+JP4kviS+JP4lPiV+Jf4mfic+KH4pvit+Lb4v/jL+Nj45/j4+Qr5Hvkz+Ur5Yfl4+Y/5pvm9+dL55vn4+gn6F/oj+i36NPo6+j36P/o/+j/6Pfo8+jr6Ofo5+jr6O/o/+kT6SvpS+lz6Zvpx+n36ivqX+qP6sPq8+sb60fra+uL66vrx+vb6/PsA+wX7CvsO+xP7Gfsf+yX7LPsz+zv7Q/tM+1T7Xftl+237dPt6+4D7hPuI+4v7jfuP+5D7kPuR+5H7kfuR+5L7k/uV+5f7mvue+6L7p/us+7L7uPu++8T7y/vR+9f73Pvi++j77fvy+/j7/vwE/Ar8EfwY/CD8KPwx/Dr8RPxO/Fj8Yfxr/HX8ffyG/I38lPya/J/8o/yn/F78Y/xn/Gz8cPx1/Hr8gPyF/Iz8k/ya/KP8q/y1/L/8yfzT/N786fz0/P79Cf0T/Rz9Jf0t/TX9O/1C/Uf9Tf1R/VX9Wf1c/WD9Y/1m/Wn9bP1w/XP9d/17/X/9hP2J/Y/9lf2c/aP9q/2z/bz9xv3Q/dv95/30/gH+D/4d/iz+PP5M/lz+bf59/o7+nv6u/r7+zv7d/uv++f8H/xT/If8t/zn/RP9Q/1v/Zv9x/3z/iP+U/6D/rf+6/8f/1f/j//IAAQARACEAMQBBAFIAYgBzAIMAkwCjALEAwADOANoA5gDwAPkBAQEIAQ0BEAESARIBEQEOAQoBBAD+APYA7gDlANwA0gDJAMAAtwCvAKcAoACaAJUAkgCOAIwAiwCLAIwAjQCPAJEAlACXAJoAngCiAKYAqgCuALIAtgC6AL4AwgDGAMoAzgDRANQA1wDZANsA3QDeAN4A3wDeAN0A3ADbANoA2QDYANcA1wDXANcA2QDbAN4A4gDmAOoA7wD0APkA/gEDAQgBDAEPARIBFQEXARgBGgEbAR0BHwEhASUBKgEwATcBQAFLAVgBZgF1AYUBlwGoAbsBzQHeAe8B/gIMAhgCIgIqAi8CMwI1AjQCMgIvAioCJAIeAhcCEAIJAgIB/AH2AfAB6wHmAeEB3AHXAdIBzQHHAcABuQGyAaoBogGZAZABiAGAAXgBcQFqAWUBYQFfAV0BXQFeAWABYwFnAWwBcQF2AXwBggGIAY4BlAGaAZ8BpQGrAbEBtwG+AcUBzQHVAd0B5gHvAfgCAAIIAhACFgIaAh0CHwIeAhsCFQIOAgMB9wHoAdgBxQGyAZ0BhwFxAVsBRQEvARkBBQDxAN4AzAC6AKoAmgCKAHwAbQBfAFEAQwA1ACcAGQAL//7/8P/j/9f/yv+//7P/qP+d/5P/iP99/3L/Zv9a/0z/Pf8t/xr/B/7x/tn+v/6k/ob+Z/5H/ib+Bf3j/cD9nv19/Vz9PP0d/QD85PzJ/K/8lvx+/Gj8Ufw7/CX8EPv6++P7zPu1+537hPtr+1H7N/sd+wL66PrN+rP6mvqB+mn6Ufo6+iT6Dvn5+eX50fm9+an5lvmC+W75WvlF+TD5G/kF+O/42fjD+Kz4lfh/+Gj4Uvg8+Cb4EPf69+P3zfe295/3iPdv91b3Pfci9wb26vbN9q/2kfZy9lP2NPYW9fj12vW99aH1hvVs9VP1O/Uk9Q70+fTl9NH0vfSq9Jb0g/Rw9Fz0SPQ09CD0DPP38+Pzz/O786jzlfOC83HzYPNP8z/zL/Mg8xDzAfLx8uDyz/K98qrylvKB8mryUvI58h/yBfHp8c3xsfGW8XrxX/FF8SzxFfD/8Orw1/DG8Lbwp/Ca8I/whPB78HLwavBi8FvwU/BM8ETwPPA08CvwIfAX8A3wAe/07+fv2e/K77rvqe+W74Pvb+9Z70PvK+8T7vru4e7H7q3uk+567mLuSu407h/uDO387e3t4O3V7c3tx+3D7cDtv+2/7cDtwe3C7cTtxO3E7cPtwe2+7bnts+2s7aTtm+2S7YntgO137XDtae1k7WDtXe1c7VztXu1g7WLtZe1n7Wntae1n7WTtXu1W7UvtPu0v7R3tC+z37OTs0Oy/7K/souyZ7JTslOyY7KPssuzH7ODs/+0g7UXta+2S7bnt3u4B7iDuO+5Q7l/uaO5q7mXuWu5J7jLuFe317dLtrO2G7V/tOe0V7PTs1ey77KXsk+yF7Hzsd+x17HbseuyA7Ifsj+yX7J/spuys7LHstOy27Lbsteyz7K/sq+yn7KLsnuyZ7Jbsk+yR7JDsj+yQ7JHsk+yV7Jfsmeyb7J3snuyf7J/sn+ye7J3sm+yY7Jbsk+yQ7I7sjOyK7Ijsh+yH7Ifsh+yI7IjsieyJ7IrsiuyJ7IjshuyD7H/se+x27HDsauxk7F7sV+xQ7ErsRew/7DvsN+w07DLsMOww7C/sMOww7DHsMewy7DLsMuwx7DDsLuws7CnsJuwi7B7sGuwW7BLsD+wM7AnsB+wF7AXsBewG7AfsCuwN7BDsFOwY7BzsIewl7CnsLewx7DTsN+w67DzsPuxA7ELsQ+xE7EXsRuxH7EjsSexK7EvsTOxO7E/sUOxS7FPsVOxV7FbsV+xY7FjsWOxY7FjsWOxX7FbsVexT7FLsUexP7E7sTexM7EvsSuxK7ErsS+xM7E7sUOxS7FbsWexd7GLsZuxr7HHsdux87ILsh+yO7JPsmeyf7Kbsq+yy7LjsvuzF7Mvs0uzZ7ODs6Ozv7Pfs/+0I7RDtGe0h7SrtM+077UTtTO1V7V3tZe1u7Xbtfu2G7Y7tlu2e7aftr+237b/tyO3Q7djt4O3o7e/t9u397gPuCe4P7hXuGu4g7iXuK+4x7jfuPu5G7lDuWe5l7nHuf+6O7p7usO7C7tbu6u7+7xPvKO8871DvZO9274jvmO+n77Xvwe/M79bv3+/m7+zv8u/27/rv/vAB8ATwB/AK8A3wEPAT8BbwGfAd8CDwJPAn8CvwL/A08DjwPfBC8EfwTfBT8FrwYfBp8HLwe/CE8I7wmfCk8K/wu/DH8NPw3/Dr8PfxA/EQ8RvxJ/Ey8T3xSPFS8VzxZvFw8XnxgvGL8ZPxnPGk8avxsvG68cHxyPHP8dbx3fHl8e3x9fH+8gjyE/If8izyOvJI8ljyavJ78o7yofK18sny3fLw8wPzFvMn8zjzR/NW82Pzb/N684TzjfOW85/zp/Ow87rzxPPQ89zz6vP59Ar0HPQv9EP0WPRu9IP0mfSu9MP01vTp9Pn1CfUW9SL1LPU19Tz1QvVH9Uv1T/VT9Vf1XPVh9Wj1b/V39YD1ivWU9Z/1q/W29cH1zPXW9d/15vXs9fD18/X09fP18PXs9ef14PXZ9dH1yPXA9bf1r/Wn9aD1mfWT9Y71ivWG9YP1gfV/9X31fPV89Xv1e/V79Xv1evV69Xr1evV69Xr1evV69Xr1evV59Xn1ePV39XX1dPVy9XD1bvVs9Wr1aPVn9Wb1ZvVn9Wn1bPVw9Xb1ffWF9Y/1mfWl9bH1vvXL9dj15vXy9f72CfYT9hz2JPYr9jH2NvY79j/2QvZG9kr2T/ZU9lv2YvZr9nT2f/aM9pn2p/a19sP20vbg9u32+vcF9w73Fvcd9yH3JPcl9yT3Ivce9xr3FPcO9wf3APb59vL26/bj9t321vbQ9sn2w/a89rb2r/ao9qD2mfaR9on2gfZ59nH2avZi9lz2VfZQ9kv2R/ZE9kH2P/Y+9j32PfY+9j72P/ZA9kH2QvZE9kX2R/ZJ9kz2T/ZT9lj2XfZk9mz2dPZ+9on2lfah9q/2vPbK9tn25/b09wL3D/cb9yf3Mfc890X3T/dX92D3afdy93v3hPeP95r3pfex9773y/fZ9+f39fgC+A/4G/gn+DH4OvhB+Ej4TPhP+FH4UvhR+FD4TvhM+Er4SPhG+EX4RfhH+En4TfhT+Fr4Yvhs+Hj4hfiT+KP4s/jF+Nf46fj8+Q/5Ivk1+Uj5Wvls+X35jfmb+an5tfnB+cr50/nZ+d/54/nm+ej56fnq+er56vnq+er56/ns+e/58vn3+f36BPoN+hb6Ifot+jr6R/pU+mL6b/p8+oj6lPqf+qj6sfq4+r76xPrI+sz60PrS+tX62Prb+t/64/ro+u368/r6+wH7CfsR+xn7Ifsq+zH7OftA+0b7TPtR+1T7WPta+1z7Xvtf+2D7Yftj+2T7Zvtp+2z7cPt1+3r7gPuH+437lfuc+6P7qvux+7j7v/vF+8r7z/vU+9n73fvh++X76fvt+/L79/v8/AH8B/wN/BP8Gvwh/Cf8Lvw1/Dz8QvxI/E78VPxZ/CD8Jvws/DH8N/w9/ET8SvxR/Fj8YPxo/HD8efyC/Iv8lfyf/Kn8s/y9/Mb80PzZ/OL86vzx/Pj8/v0C/Qf9Cv0N/Q79D/0Q/RD9D/0O/Q39DP0L/Qr9Cv0K/Qv9DP0O/RH9Fv0b/SH9Kf0y/Tz9R/1U/WL9cP2A/ZH9o/22/cn93f3x/gX+Gf4t/kH+Vf5o/nv+jf6e/q/+v/7O/tz+6f72/wL/Df8Y/yL/LP82/z//Sf9T/13/Z/9x/3z/iP+U/6H/r/+8/8v/2v/q//sACwAcAC0APwBQAGAAcQCAAI8AnQCqALYAwQDKANIA2ADcAN8A4QDhAOAA3gDaANUA0ADKAMQAvQC2AK4ApwChAJoAlACOAIkAhAB/AHsAeAB1AHIAcABtAGwAagBpAGgAZwBnAGcAaABpAGoAbABuAHAAcwB2AHoAfgCBAIUAiACMAI4AkQCTAJQAlACUAJMAkgCQAI0AigCHAIQAgQB+AHwAegB4AHgAeAB4AHoAfAB/AIMAhwCLAJAAlQCaAJ8AowCoAKwAsAC0ALgAvAC/AMMAyADMANEA1gDcAOMA6gDyAPsBBAENARcBIAEpATMBOwFEAUsBUgFXAVwBYAFjAWUBZgFmAWYBZQFjAWIBYAFfAV0BWwFaAVkBWAFXAVYBVQFUAVMBUgFQAU4BTAFKAUcBRAFAAT0BOgE3ATQBMQEuAS0BKwErASsBKwEtAS8BMgE1ATkBPgFDAUgBTgFUAVoBYAFnAW4BdQF9AYUBjQGVAZ4BpgGvAbgBwAHJAdAB2AHeAeMB5wHpAeoB6QHnAeIB3AHTAckBvQGuAZ8BjgF8AWgBVAFAASoBFQEAAOoA1QDAAKwAlwCDAHAAXABKADcAJQATAAL/8f/h/9L/w/+0/6f/mv+O/4P/ef9w/2f/X/9Y/1D/SP9B/zj/L/8l/xn/DP79/uz+2f7D/qz+kv52/lj+Of4Z/ff91f2y/ZD9bf1M/Sv9C/zt/ND8tPya/IH8avxT/D78KfwV/AH77fvZ+8T7r/uZ+4P7bPtU+zv7IvsI+u760/q5+p/6hfps+lP6Ovoj+gz59vnh+cz5uPml+ZH5fvls+Vn5R/k0+SL5D/j8+On41vjD+K/4nPiI+HX4YfhO+Dr4JvgS9/336PfT9733p/eQ93j3X/dF9yv3D/bz9tb2uPaa9nz2XvZA9iL2BPXo9cv1sPWW9Xz1ZPVN9Tb1IPUL9Pf04/TQ9L30qfSW9IP0b/Rb9Ef0M/Qe9Arz9fPh88zzuPOk85DzffNq81jzRvM08yPzEvMC8vHy4PLP8r3yqvKX8oPybvJY8kLyKvIR8fjx3fHD8ajxjPFx8VbxO/Eh8Qfw7/DX8MHwrPCZ8Ifwd/Bo8FvwT/BE8DvwMvAr8CTwHvAY8BPwDfAH8AHv+u/y7+nv3u/S78Xvtu+m75TvgO9r71XvPe8k7wvu8e7X7r3upO6L7nPuXe5I7jbuJe4W7gnt/+337fDt6+3o7ebt5e3l7eXt5e3l7eXt5O3i7eDt3O3X7dLtzO3G7cDtuu207a/tq+2o7aftpu2o7avtr+207bvtwe3I7c/t1e3a7d3t3u3d7dnt0+3K7b7tsO2g7Y7tfO1q7VjtR+047S3tJe0h7SLtKe017UbtXe157Zntvu3l7g/uOu5l7o7ute7Z7vjvEu8l7zLvOO827y3vHO8G7ujuxu6f7nXuSe4b7e3twO2U7WztRu0l7Qjs7+zb7Mzswey77Lfst+y57L3sw+zJ7M/s1eza7N7s4Ozi7OHs3+zc7Njs0uzM7MXsv+y47LLsrOyn7KPsoOyd7Jzsm+yc7J3snuyg7KPspeyo7Krsreyv7LLstOy27Ljsuuy87L7swezD7MXsx+zK7MzszuzP7NHs0uzS7NHsz+zN7MnsxezA7Lrss+ys7KTsnOyT7Ivsg+x87HXscOxr7GfsY+xi7GDsYOxh7GLsZOxm7Gjsauxr7GzsbOxs7GrsaOxl7GHsXexX7FLsS+xF7D/sOewz7C3sKewl7CLsIOwe7B7sH+wg7CLsJewo7CvsLuwy7DbsOew87EDsQuxF7EfsSexL7E3sTuxQ7FLsVOxX7FnsXOxf7GPsZ+xr7HDsdex67H/sg+yI7IzskOyU7Jfsmeyb7J3sneyd7J3snOya7JjsluyU7JLskOyO7Izsi+yL7IvsjOyN7JDsk+yX7Jzsouyo7K/st+zA7Mjs0uzb7OXs7+z47QLtC+0V7R7tJu0v7TftPu1G7UztU+1Z7V7tY+1o7W3tce117XntfO2A7YPth+2K7Y7tke2V7Zntne2h7abtq+2w7bbtvO3C7cnt0O3X7d/t5+3u7fbt/u4G7g7uFu4e7iXuLO407jvuQu5K7lHuWe5i7mruc+597ojuk+6f7qvuue7H7tbu5e717wXvFe8m7zbvRu9W72Xvc++B747vme+k767vt++/78bvzO/R79bv2u/e7+Hv5O/n7+nv7O/v7/Hv9O/37/rv/fAA8ATwB/AL8A/wFPAZ8B7wJPAq8DDwOPA/8EjwUfBb8GXwcPB88InwlvCk8LLwwPDQ8N/w7vD+8Q7xHvEu8T7xTvFe8W3xffGM8ZvxqvG48cfx1fHi8e/x/PIJ8hXyIfIs8jfyQfJL8lXyXvJo8nHyevKD8o3yl/Kh8qvytvLB8szy2PLl8vLy//MM8xnzJvM080DzTfNY82TzbvN484LzivOS85rzofOp86/zt/O+88XzzvPW8+Dz6vP19AH0DvQb9Cn0N/RF9FT0YvRw9H30ifSU9J/0qfSx9Ln0wPTF9Mv0z/TU9Nj03fTi9Of07fT09Pz1BfUP9Rr1JvUy9T/1TfVa9Wj1dfWC9Y/1mvWk9a71tvW89cH1xfXI9cn1yfXI9cf1xPXA9bz1uPWz9a71qPWj9Z31l/WS9Yz1hvWA9Xr1dPVv9Wr1ZPVf9Vr1VvVS9U71SvVH9UX1QvVA9T71PPU79Tn1OPU29TT1MvUx9S/1LPUq9Sn1J/Um9Sb1JvUn9Sn1LPUx9Tb1PvVG9VD1W/Vn9XT1gfWP9Z31q/W59cb10/Xe9ej18vX69gH2B/YM9hD2E/YW9hr2HfYg9iT2KfYv9jX2PfZG9k/2WvZl9nH2ffaK9pb2ovat9rf2wPbI9s/21PbY9tr22/ba9tj21fbQ9sv2xfa+9rf2r/an9p/2l/aP9of2f/Z39m/2Z/Zg9lj2UfZK9kT2PfY39jH2K/Ym9iH2HPYY9hT2EfYO9gv2CfYH9gX2A/YC9gH2APX/9f/1//YA9gH2A/YG9gr2DvYT9hr2IfYq9jP2PvZJ9lX2YfZt9nr2hvaT9p/2qva09r72yPbQ9tf23vbl9uv28vb49v/3BvcO9xf3Ivcu9zr3SPdY92j3efeL9533rvfA99H34Pfu9/v4BfgO+BT4GPga+Br4GfgW+BL4DfgI+AP3/vf79/n3+ff8+AD4B/gR+B34Lfg++FL4aPiA+Jn4tPjO+On5BPkf+Tj5UPlm+Xr5jPmc+ar5tfm++cT5yfnL+cz5y/nJ+cb5wvm++br5t/m0+bL5sfmy+bT5t/m9+cT5zfnX+eP58fn/+g/6H/ow+kH6Ufpi+nH6gPqO+pv6pvqw+rj6v/rF+sn6zfrP+tH60vrT+tT61vrX+tn63Prf+uP66Pru+vT6+/sC+wr7EvsZ+yH7KPsv+zX7O/tA+0T7SPtL+077UPtS+1T7VvtY+1v7Xvth+2b7a/tw+3b7ffuE+4z7lPuc+6T7rPuz+7v7wfvH+8z70fvV+9j72/vc+9773/vg++H74vvj++T75fvn++r77Pvv+/P79/v7/AD8BfwK/A/8Ffwa/AX8CvwP/BX8Gvwg/Cb8LPwz/Dr8QfxI/E/8V/xf/Gf8b/x3/ID8iPyQ/Jj8oPyo/K/8tfy7/MH8xfzJ/Mv8zfzO/M/8zvzN/Mv8yfzG/MT8wfy+/Lv8ufy3/Lb8tvy3/Ln8vfzB/Mf8z/zY/OL87vz7/Qr9Gv0r/T39UP1k/Xn9jv2j/bj9zv3j/fj+Df4h/jX+R/5Z/mr+e/6K/pj+pv6y/r7+yv7U/t7+6P7y/vv/Bf8O/xj/Iv8s/zj/Q/9Q/13/a/95/4n/mf+p/7v/zP/e//AAAwAUACYANwBIAFgAZgB0AIAAiwCVAJ0ApACqAK0AsACxALEAsACuAKsApwCiAJ4AmACTAI0AhwCCAHwAdgBxAGsAZgBgAFsAVgBRAEwARgBBAD0AOAAzAC8AKwAoACUAIwAiACEAIQAiACMAJQAoACwAMAA1ADkAPgBDAEgATABPAFIAVQBWAFYAVgBUAFIATwBMAEgARAA/ADsANwAzADAALgAsACsAKwAsAC4AMQA0ADgAPABBAEcATABRAFcAXABhAGYAagBuAHIAdgB5AH0AgACDAIYAigCOAJIAlgCaAJ8ApACqAK8AtQC7AMAAxgDLANEA1QDaAN4A4gDlAOgA6wDtAO8A8ADxAPIA8wDzAPQA9AD0APQA8wDzAPMA8gDxAPAA7wDuAO0A7ADqAOkA6ADnAOYA5gDlAOUA5QDmAOcA6ADqAOwA7wDyAPYA+gD/AQQBCQEPARYBHQEkASwBNAE8AUUBTgFXAWABagFyAXsBgwGLAZIBmAGcAaABogGjAaMBoQGdAZcBkAGHAX0BcAFjAVQBRAEzASEBDgD7AOcA0gC9AKgAkwB+AGgAUwA+ACkAFAAA/+v/1//E/7H/n/+O/33/bf9f/1H/Rf85/y//Jv8d/xb/D/8I/wL++/70/u3+5P7b/tD+w/60/qT+kf58/mb+Tf4y/hX99/3X/bf9lv11/VP9Mv0S/PL80/y2/Jr8f/xl/E38Nvwg/Av79/vj+9D7vfup+5X7gfts+1f7Qfsq+xP6+/ri+sn6sPqX+n76ZPpM+jP6G/oE+e752PnD+a/5m/mI+XX5ZPlS+UH5L/ke+Q34/fjs+Nv4yvi4+Kf4lviE+HP4YfhP+Dz4KfgX+AP37/fb98X3sPeZ94H3afdQ9zb3HPcA9uT2x/aq9o32b/ZS9jX2GPX89eD1xfWr9ZH1efVi9Uv1NfUg9Qv09/Tk9ND0vfSq9Jb0g/Rv9Fv0R/Qy9B30CPPz897zyfO086DzjPN582bzVPNC8zLzIfMS8wLy8/Lk8tXyxfK18qXyk/KB8m7yWfJD8izyFPH68d/xw/Gm8Ynxa/FN8S/xEfD08NjwvfCk8IzwdvBi8FDwQfAz8CfwHvAW8BDwDPAI8AbwBPAC7//v/e/57/Xv7u/m793v0e/D77Pvoe+N73fvX+9H7y3vE+747t7uxO6r7pPufe5o7lXuRe427iruIO4Z7hPuD+4M7gruCu4K7gruC+4L7gvuCu4J7gfuBO4B7f7t+u337fPt8O3u7e3t7e3u7fDt9O357f/uB+4P7hfuH+4n7i/uNe467j3uPu487jjuMu4p7h/uEu4E7fbt5+3Z7cztwe247bPtsu217b3tyu3c7fPuDu4u7lLuee6i7szu9+8g70jvbe+N76nvwO/Q79nv2+/W78rvt++e73/vW+8z7wfu2u6r7nzuTe4g7fbtz+2r7YvtcO1Y7UbtN+0s7SXtIe0f7R/tIe0k7SbtKe0s7S3tLu0t7SvtKO0k7R7tF+0Q7QjtAOz47PDs6Ozh7Nvs1ezR7M3syuzJ7MjsyOzJ7MvszezP7NLs1uza7N3s4uzm7Ors7+zz7Pjs/e0B7QbtCu0P7RLtFu0Y7RvtHO0d7RztG+0Z7RXtEe0M7QXs/uz27O7s5uzd7NTszOzE7Lzsteyv7Knspeyh7J7snOyb7Jrsmuya7Jrsmuya7JnsmOyX7JXskuyP7IvshuyB7Hzsduxx7GvsZuxh7F3sWexW7FPsUuxR7FHsUexS7FTsVuxZ7FvsXuxg7GPsZexn7Gnsa+xs7G3sbuxv7G/scOxx7HLsdOx17Hjse+x+7ILshuyL7JDsleyb7KHsp+yt7LLsuOy97MHsxezI7MvszezP7M/s0OzQ7NDsz+zP7M/szuzO7M/sz+zR7NPs1uzZ7N7s4+zp7PDs9+z/7QjtEe0a7STtLu057UPtTe1X7WHta+107X3the2N7ZXtnO2i7ajtru2z7bjtvO3A7cTtx+3K7c3tz+3S7dTt1u3Z7dvt3e3f7eLt5O3n7ert7e3w7fTt9+377gDuBe4J7g/uFO4a7iDuJu4t7jTuO+5C7kruUu5a7mPubO527oDuiu6V7qDurO647sTu0e7e7uvu+e8G7xTvIu8v7zzvSe9V72HvbO9374Hviu+T75vvou+o767vtO+4773vwe/F78nvzO/Q79Tv1+/b79/v4+/o7+3v8e/27/zwAfAH8A3wE/AZ8CDwJ/Av8DbwPvBH8FDwWvBk8G/wevCG8JPwoPCu8LzwyvDa8Onw+fEJ8RnxKfE58UnxWfFp8XnxifGY8ajxt/HG8dXx5PHz8gHyEPIe8i3yO/JJ8lbyZPJx8n7yivKW8qLyrfK48sPyzfLX8uDy6vLz8vvzBPMM8xTzHfMl8y3zNfM980bzTvNW817zZvNt83XzffOE84zzk/Oa86HzqfOw87fzvvPF883z1PPc8+Tz7fP18/70B/QQ9Bn0IfQq9DP0O/RD9Ev0UvRZ9F/0ZfRr9HD0dfR79ID0hfSK9JD0lvSd9KT0rPS09L70yPTT9N706vT39QP1EPUd9Sr1N/VD9U/1WvVk9W31dvV99YT1ifWN9ZD1k/WU9ZT1lPWS9ZD1jfWJ9YX1gPV79XX1b/Vo9WL1W/VU9U31RvVA9Tr1NPUu9Sr1JfUi9R/1HfUb9Rr1GfUZ9Rn1GfUa9Rr1GvUa9Rr1GfUY9Rf1FfUT9RD1DvUM9Qn1CPUH9Qf1B/UJ9Qz1EPUW9R31JvUv9Tr1RvVT9WH1bvV89Yr1mPWl9bL1vfXI9dL12vXi9ej17vXz9ff1+/X/9gL2BvYK9g72E/YZ9iD2J/Yv9jf2QPZJ9lP2XPZl9m72d/Z+9oX2i/aP9pP2lfaV9pT2kvaP9ov2hfZ/9nj2cPZo9mD2V/ZP9kb2PvY39jD2KfYj9h72GfYV9hH2DvYM9gr2CPYH9gb2BfYE9gP2AvYA9f/1/fX79fn19vXz9fH17vXs9er16fXo9ej16PXq9e318fX29f32BPYN9hb2IfYs9jf2Q/ZP9lr2ZfZw9nr2g/aL9pL2mPae9qL2p/ar9q/2tPa59r/2xvbO9tj24/bw9v/3D/ch9zT3SPdd93L3h/ec96/3wvfS9+D37ff29/34AvgE+AT4Aff99/j38ffr9+T33vfa99f31vfY99335ffw9/74EPgk+Dv4Vfhx+I74rfjM+Ov5Cfkm+UL5XPl0+Yn5m/mq+bb5v/nF+cj5yfnI+cX5wfm7+bb5sPmq+aX5ovmf+Z/5oPmk+ar5svm8+cn51/nn+fn6DPog+jT6Sfpe+nL6hvqY+qr6uvrI+tX64Prq+vH69/r8+v/7AvsD+wT7BfsF+wX7BvsH+wn7C/sO+xL7F/sc+yL7KPsv+zb7PvtF+0z7UvtZ+177Y/tn+2v7bvtx+3P7dft2+3f7eft6+3z7f/uB+4X7ifuO+5P7mfug+6b7rvu1+737xPvL+9L72Pve++L75/vq++z77vvv++/77/vu++377Pvr++n76Pvn++f75/vn++j76fvr++378Pv0+/f7+/wA+/j7/Pv//AT8CPwN/BL8F/wd/CP8KPwv/DX8O/xC/Ej8T/xV/Fz8Yvxp/G/8dPx6/H/8g/yH/Iv8jvyQ/JL8k/yT/JP8k/yS/JD8j/yN/Iv8ifyI/Ib8hvyG/Ib8iPyK/I78kvyX/J78pvyv/Ln8xfzR/N787Pz7/Qv9G/0s/T39Tv1f/XH9gv2T/aT9tf3F/dX95f3z/gL+EP4d/ir+N/5D/lD+XP5n/nP+f/6L/pf+pP6x/r/+zf7b/uv++/8M/x3/L/9B/1T/aP98/5D/pP+4/8z/4P/zAAUAFwAnADcARQBSAF4AaABxAHgAfgCCAIYAiACIAIgAhwCFAIIAfwB8AHgAcwBvAGoAZQBhAFwAVwBSAEwARwBBADwANgAvACkAIgAcABUADgAHAAH/+v/0/+//6v/m/+P/4f/f/97/3//g/+L/5P/o/+v/7//z//f/+///AAIABAAGAAcABwAGAAUAAwAA//z/+f/1//H/7f/p/+X/4//g/9//3v/e/9//4f/k/+f/6//w//X/+gAAAAUACwAQABYAGwAfACQAKAAsAC8AMwA3ADoAPgBBAEUASgBPAFQAWQBfAGUAbAByAHkAgACHAI4AlQCbAKEApgCrAK8AswC2ALgAuQC6ALoAuQC4ALYAtACyAK8ArACqAKcApAChAJ8AnQCbAJkAmACXAJYAlgCXAJcAmACaAJsAnQCgAKIApQCoAKwAsAC0ALgAvADBAMcAzADSANgA3gDlAOwA8wD7AQIBCQERARgBHwElASsBMQE1ATkBPAE9AT4BPQE7ATcBMgEsASQBGwERAQYA+QDsAN0AzgC+AK4AnQCLAHkAZwBVAEIALwAcAAn/9v/k/9H/vv+r/5n/hv90/2P/Uf9B/zH/If8T/wX++P7r/uD+1f7L/sH+uP6v/qb+nf6T/or+f/5z/mf+WP5J/jj+Jf4R/fv94/3L/bD9lf14/Vv9Pf0f/QH84/zF/Kj8jPxw/FX8PPwj/Av79Pve+8j7s/uf+4v7dvti+077Ofsk+w/6+frj+sz6tfqe+of6b/pY+kD6KfoS+fz55vnQ+bv5p/mU+YD5bvlc+Ur5Ofko+Rf5Bvj2+OX41fjE+LT4o/iS+IH4cPhf+E74PPgq+Bj4Bvfz9+D3zPe496T3j/d592P3TPc19x33BPbr9tH2t/ac9oH2ZvZM9jH2FvX89eP1yvWx9Zn1gvVr9VX1QPUr9Rf1A/Tv9Nv0x/S09KD0i/R39GP0TvQ59CT0DvP58+Tzz/O686bzkvN/823zW/NK8zrzK/Mc8w7zAPLz8uXy2PLJ8rvyq/Ka8ojydfJg8kryMfIY8fzx3/HB8aLxgvFi8ULxIfEC8OPwxfCq8JDwePBj8FDwQPAy8CjwIPAa8BfwFfAV8BbwGPAa8BzwHfAd8BzwGfAV8A3wBO/47+nv2O/F76/vmO9/72XvSu8w7xXu+u7h7snus+6e7ozufO5v7mTuW+5V7lHuTu5N7k7uT+5R7lTuVu5Z7lvuXO5d7l7uXe5d7lvuWe5X7lXuVO5S7lLuUu5S7lTuV+5a7l/uZO5q7nDudu587oHuhu6J7ovujO6L7ojuhO5+7njucO5o7l/uV+5P7knuRe5E7kXuSe5R7l3ubO6A7pfusu7P7u/vEu8171nvfO+e777v2+/18ArwGvAl8CrwKvAj8BfwBe/u79Lvsu+P72nvQu8Z7vDuyO6g7nvuWO437hruAO3p7dbtxu257a7tpu2h7Z3tmu2Y7Zbtle2U7ZLtj+2M7Yjtg+1+7XftcO1p7WHtWe1R7UrtQ+087TbtMO0r7SjtJO0i7SDtH+0f7R/tH+0g7SHtI+0k7SbtKO0r7S3tL+0y7TXtOO077T3tQe1D7UbtSe1L7U3tT+1Q7VHtUe1Q7U7tTO1J7UXtQe077TbtL+0p7SLtG+0U7QztBuz/7Pjs8uzt7Ofs4+ze7Nrs1uzS7M/szOzI7MXswey+7Lrstuyy7K7squym7KLsnuya7Jbsk+yR7I7sjeyM7Ivsi+yM7I3sjuyQ7JLslOyX7Jnsm+yd7J/soeyi7KPspOyl7KXspuym7Kbspuyn7Kjsqeyq7Kzsruyx7LTst+y77MDsxOzJ7M7s0uzX7Nzs4Ozk7Ojs7Ozv7PLs9Oz27Pjs+ez77Pzs/ez/7QDtAu0F7QjtC+0P7RPtGe0e7SXtLO0z7TvtRO1N7VbtX+1o7XLte+2E7Y3tlu2e7abtru217bztwu3I7c7t0+3Z7d7t4u3n7evt7+307fjt/O4A7gTuCO4M7hDuFO4Y7hzuIO4j7ifuK+4u7jHuNO437jruPe5A7kPuRu5I7kvuTu5S7lXuWe5d7mLuZ+5t7nPueu6B7onuku6b7qbusO687sfu1O7g7u3u+u8I7xXvIu8u7zvvR+9T717vaO9x73rvgu+J75Dvlu+b76DvpO+o76vvr++y77XvuO+877/vw+/I78zv0u/X793v5O/r7/Lv+vAC8ArwE/Ac8CbwL/A68ETwTvBZ8GTwcPB88IjwlfCi8K/wvfDL8Nnw6PD38QXxFfEk8TPxQvFQ8V/xbfF78Ynxl/Gk8bDxvfHJ8dXx4fHs8fjyA/IP8hvyJvIy8j7ySvJX8mPycPJ88ojylfKh8q3yufLE8s/y2vLk8u7y9/MA8wnzEfMY8yDzJ/Mu8zXzPPNC80nzUPNY81/zZvNu83bzf/OH85DzmfOi86vztPO988fz0PPZ8+Lz6vPz8/v0AvQK9BH0F/Qe9CP0KfQu9DP0N/Q89ED0RPRI9Ez0UPRU9Fj0XfRi9Gf0bfRz9Hr0gfSJ9JH0mvSk9K30t/TC9Mz01/Th9Oz09vUA9Qr1E/Uc9SX1LfU09Tv1QfVG9Ur1TvVR9VP1VfVV9VX1VfVT9VH1TvVK9Ub1QfU89Tb1MPUp9SL1G/UU9Q31B/UA9Pv09vTx9O706/Tp9Oj06PTp9Ov07fTw9PP09vT69P71AfUE9Qb1CPUJ9Qn1CfUI9Qb1BPUB9P70+/T49Pb09PTy9PL08vT09Pf0/PUB9Qj1EfUa9ST1MPU89Uj1VfVh9W71evWF9ZD1mvWk9az1tPW69cD1xvXL9c/10/XY9dz14PXl9er18PX29f32BPYM9hT2HfYl9i72NvY+9kb2TPZS9lf2W/Ze9l/2YPZf9l32WvZV9lD2S/ZE9j72N/Yw9in2IvYc9hb2EfYN9gr2B/YF9gT2BPYE9gX2BvYI9gr2DPYO9g/2EfYS9hP2E/YU9hP2E/YS9hL2EfYQ9hD2EPYR9hP2FfYZ9h32I/Yp9jD2OPZB9kv2VPZe9mj2cvZ79oT2i/aS9pj2nPag9qL2pPal9qX2pvam9qb2p/ap9q32sfa49sH2y/bY9uf2+PcL9x/3NfdM92P3e/eS96j3vffR9+P38vf/+An4EfgW+Bn4GvgY+BX4EfgM+Af4Avf/9/z3+/f9+AH4B/gR+B34LPg++FL4afiC+Jv4tvjR+Oz5B/kg+Tj5Tvli+XP5gvmO+Zf5nfmg+aH5ofme+Zr5lfmQ+Yr5hvmC+X/5fvl/+YL5h/mP+Zn5pvm1+cb52fnu+gT6G/oz+kv6ZPp7+pL6qPq9+tD64vrx+v/7C/sV+x37JPsq+y77Mfsz+zX7Nvs4+zn7O/s9+0D7Q/tH+0z7UvtY+1/7Zvtu+3X7ffuF+4z7k/uZ+5/7pPup+6z7r/uy+7P7tfu2+7b7t/u3+7j7ufu6+7z7vvvA+8T7x/vM+9D71fvb++D75fvr+/D79Pv5+/z7//wC/AT8BfwF/AX8BPwC/AH7/vv8+/r79/v1+/L78Pvv++377Pvs++z77fvu+/D78vv1+9f72fvc+9/74/vn++z78fv2+/z8AfwH/A38E/wZ/B/8Jfwr/DD8Nfw6/D78QvxG/En8TPxO/FD8UfxS/FL8UvxS/FL8UfxR/FH8UfxR/FH8UvxT/FX8V/xa/F78Y/xo/G78dPx8/IT8jPyV/J/8qPyz/L38yPzS/N385/zy/Pz9B/0R/Rv9Jf0u/Tj9Qf1L/VT9Xv1n/XH9e/2G/ZH9nP2o/bX9wv3Q/d797v3+/g/+If40/kf+W/5w/ob+nP6z/sv+4v76/xL/K/9D/1r/cv+I/5//tP/I/9z/7v//AA8AHQAqADYAQABJAFAAVgBaAF4AYABiAGIAYgBhAF8AXQBbAFgAVQBSAE4ASwBHAEMAPgA5ADUALwApACMAHQAWAA8AB/////f/7v/m/93/1f/M/8T/vf+1/6//qf+k/5//nP+Z/5b/lf+U/5P/k/+T/5P/k/+U/5T/lP+T/5L/kf+P/43/iv+H/4T/gP99/3r/dv9z/3H/b/9t/23/bf9t/2//cf9z/3f/e/9//4T/if+O/5T/mf+f/6T/qv+v/7X/uv+//8T/yf/P/9T/2v/g/+f/7v/1//0ABQAOABcAIAAqADMAPQBGAE8AVwBfAGYAbABxAHUAeQB7AHwAfAB7AHgAdQByAG0AaABjAF0AWABSAE0ASABEAEAAPAA6ADgANwA3ADgAOQA7AD4AQQBFAEkATgBTAFkAXgBkAGoAcAB2AHwAggCIAI0AkwCZAJ8ApQCqALAAtQC6AL8AwwDHAMsAzgDQANEA0gDSANAAzgDLAMYAwAC6ALIAqQCfAJQAiAB8AG8AYQBTAEQANQAmABcACP/6/+v/3P/N/7//sf+j/5X/h/95/2v/Xf9P/0H/Mv8k/xX/B/74/ur+2/7M/r7+r/6h/pP+hf53/mn+W/5N/j/+Mf4j/hT+Bf32/eX91f3D/bH9nv2K/Xb9YP1K/TP9HP0D/Ov80vy5/J/8hvxs/FP8Ovwh/An78fvZ+8H7qvuT+3z7ZvtP+zn7IvsM+vX63/rI+rH6mvqD+mz6Vfo/+ij6Efn7+eX50Pm7+af5k/l/+Wz5WflH+Tb5JPkT+QL48vjh+NH4wPiw+J/4jvh++G34XPhK+Dn4J/gW+AT38vfg9873vPeq95f3hPdx9173S/c39yP3D/b69uX20Pa69qT2jvZ39mH2SvYz9hz2BvXv9dn1wvWt9Zf1gvVs9Vj1Q/Uv9Rv1B/Ty9N70yvS29KH0jfR49GP0TvQ49CP0DfP48+PzzvO586XzkvN/823zW/NK8zrzK/Mc8w3y//Lw8uLy0/LE8rTyo/KS8n7yavJT8jzyIvIH8evxzfGv8Y/xb/FP8S7xDvDw8NLwtvCc8IPwbvBb8EvwPvA08C3wKPAm8CbwKPAs8DDwNfA68D/wRPBG8EjwR/BE8D/wN/As8B/wD+/97+nv0u+776Lvie9v71bvPe8l7w/u++7p7tnuzO7B7rnus+6w7q7ur+6x7rXuue6+7sTuye7O7tPu1+7a7tzu3e7e7t3u3O7a7tfu1O7R7s/uzO7K7sjuyO7I7sjuyu7M7s7u0e7U7tju2+7e7uHu5O7m7ufu5+7o7ufu5u7m7uXu5e7l7ubu6O7s7vLu+e8D7w/vHe8t7z/vU+9p74Dvl++v78bv3e/z8AbwGPAm8DLwOvA+8D7wOvAx8CbwFvAC7+zv0u+375nve+9b7zzvHO797t/uw+6p7pDuee5l7lLuQu407ifuHO4S7gruA+387fbt8O3q7eXt3+3Z7dPtze3H7cDtuu207a7tqO2i7Z3tmO2U7ZDtje2K7Yjthu2E7YLtge2A7X/tfe187Xvtee137XXtc+1x7W/tbe1q7WjtZu1l7WPtYu1h7WHtYO1g7WHtYe1i7WLtY+1j7WTtZO1k7WPtYu1h7V/tXe1a7VftVO1Q7UztSO1D7T7tOe0z7S7tKO0j7R7tGO0T7Q3tCO0C7P3s+Ozz7O7s6ezk7N/s2+zX7NPs0OzN7MrsyOzG7MXsxOzE7MPsxOzE7MXsx+zI7Mrsy+zN7M/s0OzS7NTs1ezW7Nfs2OzZ7Nrs2+zc7N3s3uzf7ODs4uzk7Obs6Ozr7O3s8ez07Pfs+uz97QDtA+0G7QntC+0N7Q/tEO0R7RLtE+0T7RTtFO0V7RbtF+0Y7RrtHe0f7SPtJ+0s7TLtOO0/7UftT+1Y7WHtau1z7X3th+2R7Zrto+2s7bXtve3F7c3t0+3a7eDt5e3r7e/t9O347fzuAO4E7gjuDO4R7hXuGe4e7iPuKO4t7jLuN+497kPuSO5O7lTuWe5e7mTuae5t7nLudu567n7ugu6F7ojujO6P7pLulu6Z7p3uoe6m7qvusO627r3uxO7M7tTu3e7m7vDu+u8E7w/vGu8k7y/vOe9D703vV+9g72jvb+92733vgu+H74zvj++T75XvmO+a75zvn++h76Pvpu+p76zvsO+077nvvu/F78vv0+/b7+Pv7O/28ADwC/AW8CLwLvA68EfwVfBi8HDwf/CN8JzwrPC78Mvw2/Dq8PrxCvEa8SnxOfFI8VbxZfFy8X/xjPGY8aPxrvG58cLxzPHV8d7x5vHv8ffx//II8hHyGvIj8i3yN/JB8kvyVvJi8m3yefKE8pDynPKn8rLyvvLI8tPy3fLn8vHy+vME8w3zFvMf8yfzMfM680PzTfNX82LzbfN484TzkfOd86rzt/PE89Lz3/Ps8/j0BPQQ9Br0JfQu9Db0PvRE9Er0T/RS9Fb0WPRa9Fv0XPRc9Fz0XfRd9F30XvRf9GH0Y/Rm9Gn0bfRy9Hf0fPSD9In0kPSY9J/0p/Sv9Lf0v/TG9M701fTc9OL06PTu9PP0+PT99QH1BPUH9Qr1DPUO9Q/1EPUQ9RD1D/UN9Qr1B/UD9P/0+fTz9O305vTe9Nf0z/TH9L/0t/Sw9Kr0pPSf9Jv0mPSW9Jb0lvSY9Jv0n/Sk9Kn0r/S29Lz0w/TK9ND01fTa9N704vTk9Ob05vTm9Ob05PTi9OD03vTc9Nr02PTX9Nf02PTa9Nz04PTl9Or08fT49QD1CfUS9Rv1JPUt9Tb1PvVG9U71VfVc9WL1aPVt9XL1d/V89YH1hvWM9ZL1mfWg9af1sPW59cL1zPXX9eH17PX39gL2DPYV9h/2J/Yu9jX2OvY+9kH2QvZD9kL2QPY+9jv2N/Yy9i72KfYk9iD2G/YX9hT2EfYP9g32DfYN9g32D/YR9hP2FvYa9h32IfYm9ir2L/Y09jn2P/ZF9kv2UfZY9mD2aPZw9nn2g/aN9pf2ovat9rj2w/bO9tj24fbq9vH29/b89wD3AfcB9wD2/fb59vP27fbl9t721vbP9sj2w/a/9r32vfbA9sT2zPbX9uT29PcG9xv3MfdJ92L3fPeW97D3yffh9/f4DPgf+C/4PfhJ+FL4WPhd+GD4Yfhi+GH4YPhf+F/4X/hh+GT4aPhv+Hf4gfiN+Jv4q/i7+Mz43vjw+QL5E/kj+TL5QPlL+VT5XPlh+WT5Zflk+WH5XflZ+VP5TflI+UP5P/k8+Tv5PflA+Ub5TvlZ+Wf5d/mJ+Z75tfnN+ef6Afoc+jf6U/pt+of6oPq4+s764vr0+wX7E/sg+yv7NPs8+0L7SPtM+1D7U/tW+1n7XPtg+2T7aPtt+3P7efuA+4f7jvuW+577pvuu+7b7vvvF+8v70fvX+9v73/vi++X75/vo++n76vvq++r76/vr++v77Pvs++377/vw+/L79Pv3+/n7/Pv+/AD8AvwE/Ab8B/wI/Aj8B/wG/AX8A/wA+/37+vv3+/P77/vr++j75Pvg+9372/vY+9b71fvU+9T71PvW+6D7ofuj+6b7qfut+7L7t/u9+8P7yfvP+9b73Pvj++n77/v1+/r7/vwD/Ab8CfwM/A78D/wQ/BH8EfwR/BD8EPwP/A/8D/wP/A/8EPwS/BT8F/wb/B/8JPwq/DD8N/w//Ef8T/xY/GD8afxy/Hr8gvyK/JL8mPyf/KT8qvyu/LL8tvy5/Lz8v/zC/MX8yPzL/M/80/zY/N785fzu/Pf9Av0O/Rv9Kv06/Uv9Xv1y/Yf9nv21/c795/4B/hz+N/5S/m7+if6l/sD+2/72/xD/Kf9B/1n/b/+F/5n/rP++/87/3f/r//cAAwANABYAHQAkACkALgAxADQANgA4ADgAOAA4ADcANgA0ADIALwAsACkAJQAgABwAFgAQAAoAA//7//P/6//i/9n/0P/G/7z/sv+o/5//lf+M/4L/ef9x/2n/Yf9a/1P/Tf9H/0H/PP83/zL/Lf8p/yT/IP8b/xb/Ev8N/wn/BP8A/vz++P70/vH+7v7r/un+6P7n/uf+6P7p/ur+7f7w/vP+9/77/v//BP8J/w7/E/8Y/x3/I/8o/y7/M/85/z//Rf9M/1P/W/9j/2z/df9+/4n/k/+e/6n/tf/B/8z/1//i/+z/9v//AAcADgATABgAGwAdAB0AHAAaABcAEwAOAAkAA//8//b/7//p/+P/3f/Y/9T/0P/O/83/zP/N/8//0f/V/9n/3v/k/+v/8v/5AAAACAAQABgAIAAoAC8ANwA+AEUASwBRAFcAXQBiAGYAagBtAHAAcgB0AHQAdABzAHEAbgBpAGQAXgBXAE4ARQA6AC8AIwAWAAn/+//s/97/z//A/7H/o/+V/4f/ev9u/2H/Vv9L/0D/Nv8s/yP/Gf8Q/wf+/f70/ur+3/7U/sj+vP6w/qL+lP6F/nb+Zv5V/kT+M/4h/g/9/P3q/df9xP2x/Z79jP15/Wb9U/1A/S39G/0I/PX84vzP/Lz8qPyV/IH8bfxZ/ET8MPwb/Ab78Pvb+8T7rvuX+4D7aftR+zn7IfsJ+vD61/q++qX6jPpz+lr6Qfoo+hD5+Png+cr5s/md+Yj5c/lf+Uv5OPkm+RT5A/jx+OH40PjA+LD4oPiP+H/4b/hf+E74Pvgt+Bz4Cvf59+j31vfF97T3oveR93/3bvdc90v3Ovco9xf3Bvb09uP20fa/9q32m/aJ9nb2ZPZR9j32KvYX9gP18PXc9cj1tfWh9Y31evVm9VL1P/Ur9Rf1A/Tv9Nv0x/Sy9J70ifR09F/0SvQ19CD0C/P28+LzzfO686bzk/OA827zXfNM8zvzK/Mb8wvy+/Lr8tvyy/K58qfylPKA8mvyVPI88iPyCPHt8dDxsvGU8XXxVvE38Rjw+vDe8MPwqfCS8H3wavBb8E7wQ/A88DfwNfA18DfwOvA/8EXwS/BR8FjwXfBh8GPwY/Bi8F7wWPBP8ETwN/Ao8BbwBO/v79rvxe+v75rvhe9x71/vT+9A7zPvKe8h7xzvGO8X7xjvGu8e7yPvKe8v7zbvPe9D70nvTu9R71XvV+9X71fvVu9U71HvTu9K70fvQ+9A7zzvOu847zfvN+847znvPO8/70PvR+9M71LvWO9e72Pvau9w73bvfO+C74jvju+U75vvou+p77Hvuu/D783v1+/i7+7v+vAG8BPwH/Ar8DbwQPBJ8FDwVvBa8FzwW/BY8FLwSvBA8DPwJPAT8ADv6+/V777vpu+O73XvXe9F7y3vFu8A7uvu1+7E7rLuou6T7oTud+5r7l/uVO5K7kHuN+4v7ifuH+4X7hDuCe4D7f3t9+3y7e7t6u3m7ePt4e3f7d3t3O3b7drt2e3Y7djt1+3V7dTt0u3P7cztyO3E7cDtu+227bDtq+2l7Z/tmu2U7Y/tiu2G7YLtf+187XrteO137Xftd+137XfteO157Xrte+187X3tfe1+7X7tfe187Xvteu147XXtc+1w7Wztae1l7WDtXO1X7VPtTu1J7UTtP+067TXtMO0s7SftI+0f7RvtGO0V7RLtD+0N7QvtCe0H7QbtBe0F7QTtBO0E7QTtBO0E7QXtBe0G7QbtB+0I7QjtCe0K7QvtDO0N7Q/tEO0S7RTtFu0Y7RrtHO0f7SHtI+0l7SjtKe0r7S3tLu0u7S/tL+0v7S7tLe0s7SvtKu0o7SftJe0k7SPtI+0j7SPtJO0m7SntLe0x7TbtPO1D7UrtUu1b7WXtb+167YTtj+2b7abtse287cbt0O3a7eTt7O317fzuBO4K7hDuFe4b7h/uI+4n7ivuL+4y7jbuOe497kDuRO5J7k3uUu5X7lzuYu5o7m7udO577oLuie6Q7pfunu6l7qzus+667sDux+7N7tTu2u7g7ubu7O7x7vfu/e8D7wjvDu8U7xrvIe8n7y3vM+8670DvR+9N71PvWe9f72Tvae9u73Pvd+97737vge+D74Xvh++J74rvi++M747vju+Q75Hvku+U75fvme+c76Dvpe+p76/vte+878TvzO/V79/v6e/08ADwDfAa8CfwNvBE8FPwY/Bz8IPwlPCl8Lbwx/DX8Ojw+fEJ8RnxKPE38UbxU/Fg8W3xefGE8Y/xmfGi8avxtPG88cTxzfHU8d3x5fHt8fbx//II8hLyHfIn8jPyPvJK8lbyYvJv8nvyiPKV8qHyrvK68sby0vLe8uny9fMA8wzzF/Mj8y/zO/NI81XzY/Nx83/zjvOe867zvvPP8+Dz8fQC9BL0I/Qy9EH0T/Rd9Gn0c/R99IX0jPSR9JX0mPSZ9Jn0mPSW9JP0kPSM9Ij0g/R/9Hv0d/Rz9HD0bfRr9Gr0afRp9Gr0bPRu9HH0dPR39Hv0f/SD9Ij0jPSR9JX0mvSe9KL0pvSq9K70sfS19Lj0u/S+9MD0w/TF9Mb0x/TI9Mj0x/TG9MT0wfS99Lj0s/St9Kb0nvSV9I30hPR69HH0aPRf9Ff0T/RJ9EP0P/Q89Dr0OvQ79D70QvRH9E30VfRd9Gb0b/R59IP0jPSV9J70pvSt9LP0uPS89L/0wfTC9MP0w/TC9MH0v/S+9Lz0u/S69Ln0ufS69Lv0vfS/9MP0xvTK9M/01PTZ9N705PTp9O/09fT69P/1BfUK9RD1FfUb9SH1KPUv9Tb1PvVH9VD1WvVl9XD1fPWI9ZX1o/Ww9b71y/XZ9eb18vX+9gj2EvYb9iP2KfYu9jL2NfY39jf2N/Y19jP2MPYt9in2JfYh9h32GvYX9hT2EvYR9hH2EfYT9hX2GfYd9iP2KvYy9jv2RfZR9l32a/Z59oj2mPap9rv2zfbf9vH3BPcW9yj3OfdK91n3Z/dz9373h/eN95L3lPeT95H3i/eE93v3b/di91T3Rfc19yb3FvcI9vr27vbl9t322fbX9tn23fbm9vH2//cR9yX3PPdV92/3i/eo98T34ff9+Bj4MfhJ+F/4c/iF+JT4ofit+LX4vfjC+Mf4yvjN+M/40fjU+Nf42vje+OP46fjw+Pf4//kI+RD5Gfki+Sr5Mvk5+T75QvlF+Ub5RvlF+UH5Pfk3+TH5Kfki+Rr5E/kN+Qf5A/kB+QH5A/kI+Q/5Gfkl+TX5R/lb+XL5i/ml+cH53vn8+hr6OPpW+nP6j/qq+sP62/rx+wX7F/sn+zb7QvtN+1b7Xftk+2n7bvty+3X7ePt7+3/7gvuG+4r7jvuT+5n7nvuk+6v7sfu4+7/7xfvM+9L72Pvd++L75vvq++378Pvy+/T79fv1+/b79vv2+/b79fv1+/T79Pv0+/P78/vz+/P78/vz+/P78/vy+/L78fvw++777Pvq++f75Pvh+9372fvU+8/7y/vG+8H7vPu3+7L7rvuq+6f7pPui+6D7oPuf+2r7avtr+2z7b/ty+3b7evt/+4X7i/uR+5f7nvuk+6r7sfu2+7v7wPvF+8j7y/vO+9D70vvT+9P71PvU+9T71PvU+9X71fvX+9j72/ve++L75vvs+/L7+PwA/Aj8EPwZ/CH8Kvwz/Dv8RPxL/FP8Wfxe/GP8Z/xq/Gz8bvxu/G78bfxs/Gv8afxo/Gf8Zvxm/Gf8afxs/HD8dvx9/Ib8kfye/Kz8vPzO/OH89v0M/ST9Pf1X/XL9jf2q/cb94/4A/h3+Of5W/nH+jf6n/sH+2v7y/wn/H/80/0f/Wv9s/3z/jP+a/6j/tP+//8r/0//c/+P/6v/w//X/+f/9AAAAAgADAAQABAAEAAMAAf////z/+P/0/+//6v/k/97/1//Q/8j/wP+4/6//pv+d/5P/iv+A/3b/bf9j/1n/UP9G/z3/M/8q/yH/GP8P/wf+/v71/u3+5P7c/tT+zP7E/r3+tf6u/qf+of6b/pX+kf6M/oj+hf6D/oH+gP5//oD+gP6C/oT+hv6J/oz+kP6T/pf+m/6f/qT+qP6t/rH+tv66/r/+xf7K/tD+1v7d/uT+6/70/vz/Bv8Q/xr/Jf8w/zz/R/9T/1//av91/3//if+S/5r/of+n/6v/r/+x/7H/sf+w/63/qv+l/6H/m/+V/4//iv+E/3//ev92/3L/b/9u/23/bf9u/3D/c/93/3z/gv+I/47/lv+d/6X/rf+1/73/xf/N/9T/3P/j/+n/7//1//r//wADAAYACQALAAwADQANAAwACQAGAAP//v/4//H/6f/g/9b/y//A/7P/pv+Z/4v/fP9u/1//Uf9D/zX/J/8a/w7/Av72/uz+4v7Y/tD+x/7A/rj+sf6p/qL+mv6T/or+gf54/m3+Yv5W/kn+O/4s/hz+C/36/ef91f3B/a39mf2E/XD9W/1G/TL9Hv0K/Pf85PzR/L/8rvyc/Iz8e/xr/Fv8S/w7/Cv8G/wL+/r76fvX+8X7svuf+4v7dvth+0v7NPsc+wT67PrT+rn6n/qF+mv6Ufo3+h36A/nq+dH5uPmh+Yn5c/ld+Uj5M/kg+Qz4+vjo+Nb4xfi0+KT4lPiD+HP4ZPhU+ET4NPgk+BT4BPfz9+P30vfC97H3oPeQ93/3b/de9073Pvcu9x33Dfb99u323fbO9r72rvad9o32ffZs9lv2SvY59ij2FvYE9fL14PXO9bz1qfWW9YT1cfVe9Ur1N/Uk9RH0/fTq9Nb0wvSu9Jv0hvRy9F/0S/Q39CP0D/P88+nz1vPD87HzoPOO833zbPNc80zzO/Mr8xvzC/L78ury2fLH8rTyoPKL8nbyX/JH8i7yFPH58d3xwfGk8YfxavFN8THxFfD78OLwyvC18KHwkPCB8HTwavBi8F3wWvBY8FnwW/Be8GLwZ/Bs8HDwdfB48HvwfPB78HnwdfBv8GjwXvBT8EbwOPAp8BnwCO/47+fv1+/H77jvq++f75Tvi++E73/ve+9573jvee97737vgu+H74vvkO+V75rvnu+i76XvqO+p76vvq++r76rvqe+o76bvpe+j76Lvou+i76Lvo++l76jvq++w77Xvu+/B78jv0O/Y7+Dv6e/x7/rwA/AM8BXwH/Ao8DHwOvBD8EzwVfBe8GfwcPB58IHwifCR8Jjwn/Cl8KrwrvCx8LLwsvCx8K7wqfCj8JvwkfCG8Hnwa/Bb8ErwOPAl8BLv/e/p79Tvv++q75bvgu9u71vvSe847yfvF+8H7vnu6+7e7tHuxu667rDupe6c7pLuiu6B7nnucu5r7mTuX+5Z7lTuT+5L7kfuRO5B7j7uO+457jfuNO4y7jDuLu4r7ijuJe4h7h7uGe4V7hDuC+4F7gDt+u307e7t6O3i7dzt1+3S7c3tye3F7cLtvu287brtuO227bXttO2z7bPts+2y7bLtsu2x7bHtse2w7a/tru2t7avtqu2o7abtpO2h7Z/tnO2Z7Zbtk+2P7Yztie2F7YLtfu177XftdO1x7W3tau1n7WTtYu1f7V3tWu1Y7VbtVe1T7VLtUe1P7U/tTu1N7UztTO1M7UztS+1L7UvtS+1M7UztTO1N7U3tTu1P7VDtUe1S7VPtVO1V7VbtV+1Y7VjtWe1Z7VntWe1Z7VntWO1X7VbtVO1T7VHtT+1N7UvtSe1H7UbtRO1D7UPtQ+1E7UXtR+1K7U7tUu1Y7V7tZe1t7XbtgO2K7ZXtoO2s7bjtxe3S7d7t6+337gPuDu4Z7iTuLu437kDuR+5O7lXuWu5f7mPuZ+5q7m3ub+5y7nTudu547nrufe5/7oPuhu6L7o/ule6b7qHuqO6w7rjuwe7K7tPu3O7m7vDu+u8D7w3vFu8f7yjvMO8470DvR+9O71TvWe9f72PvaO9s72/vc+9273jve+9973/vge+D74Xvhu+I74nviu+L743vju+O74/vkO+R75Lvku+T75Tvle+V75fvmO+Z75vvnO+f76HvpO+o76zvse+277zvw+/K79Lv2+/l7+/v+vAG8BPwIPAu8DzwS/Bb8GrwevCL8Jvwq/C88Mzw3PDr8PrxCfEX8SXxMvE+8UvxVvFh8WzxdvGA8Ynxk/Gc8abxr/G58cPxzfHY8ePx7/H78gjyFfIi8jDyPvJN8lzya/J68onymPKn8rXyxPLS8uDy7vL88wnzFvMj8zDzPfNL81jzZvN084LzkfOh87DzwfPR8+Lz8/QF9Bb0J/Q49En0WfRp9Hj0hfSS9J30p/Sv9Lb0vPS/9ML0wvTC9L/0vPS49LP0rfSm9J/0mPSQ9In0gfR69HT0bvRp9GT0YPRd9Fv0WfRY9Ff0V/RY9Fn0W/Rd9F/0YvRk9Gj0a/Ru9HH0dfR49Hz0f/SD9If0ivSN9JH0lPSW9Jn0m/Sc9J30nfSd9Jv0mfSW9JL0jfSH9IH0efRx9Gn0X/RW9E30Q/Q69DH0KfQi9Bz0F/QU9BH0EPQR9BP0F/Qc9CL0KvQz9Dz0R/RR9Fz0Z/Ry9H30h/SQ9Jn0oPSn9Kz0sPS09Lb0t/S39Lf0tvS09LL0sPSu9Kz0qvSp9Kj0p/Sn9Kj0qfSs9K70svS19Lr0v/TE9Mr00PTW9N305PTr9PL0+fUB9Qj1EPUY9SH1KfUz9Tz1RvVQ9Vr1ZfVx9Xz1iPWU9aD1rPW49cP1z/Xa9eT17vX49gD2CPYP9hT2GfYd9iD2I/Yk9iX2JfYk9iP2IvYg9h/2HfYc9hz2HPYc9h72IfYk9in2L/Y29j/2SvZV9mP2cfaB9pP2pva69s/25Pb79xL3KfdA91f3bfeC95f3qve798v32ffk9+338/f39/j39vfx9+r34PfU98b3t/el95P3gfdu91v3Sfc59yr3HfcS9wr3BPcC9wP3CPcP9xv3Kfc69073ZPd895b3sffN9+r4Bvgi+D74WPhx+In4nviy+MT41Pji+O74+PkB+Qj5DvkT+Rj5G/kf+SL5Jfkp+Sz5MPkz+Tf5O/lA+UP5R/lK+U35TvlP+U/5TvlM+Uj5Q/k++Tf5L/kn+R75FfkM+QP4+/j0+O746vjo+Oj46vjv+Pb5APkN+R35L/lD+Vr5c/mO+ar5yPnm+gX6JPpD+mL6gPqc+rj60frp+v/7FPsm+zb7RPtQ+1v7Y/tr+3D7dft5+3z7fvuA+4L7g/uF+4f7ifuL+477kfuV+5n7nfuh+6b7q/uw+7X7uvu/+8P7x/vL+8770PvT+9T71vvW+9f71/vW+9X71PvT+9L70PvP+837zPvK+8n7x/vG+8X7w/vC+8H7wPu++7z7uvu4+7b7s/uw+637qful+6H7nfuY+5P7jvuJ+4T7gPt7+3f7c/tw+277bPtq+z37O/s6+zr7Ovs7+z37QPtD+0b7S/tP+1T7Wftf+2T7avtv+3T7eft9+4L7hvuJ+4z7j/uS+5T7lvuY+5r7nPue+6H7pPun+6v7r/u0+7r7wPvH+8771fvd++b77vv3+//8CPwQ/Bf8Hvwk/Cr8Lvwy/DT8Nvw2/Db8Nfwz/DD8Lfwp/Cb8Ivwf/Bz8GvwY/Bj8Gfwb/B/8JPws/DX8QPxN/Fz8bPx//JP8qfzA/Nj88v0M/Sj9Q/1g/Xz9mf21/dH97f4J/iT+Pv5X/m/+h/6d/rP+x/7b/u7+//8Q/yD/L/89/0r/Vv9i/23/dv+A/4j/j/+W/5z/ov+m/6r/rf+w/7H/s/+z/7L/sf+w/63/qv+n/6P/nv+a/5T/jv+I/4L/e/90/2z/Zf9d/1X/Tf9E/zz/NP8r/yL/Gf8Q/wf+/v71/uv+4f7Y/s7+xP66/rD+pv6d/pP+iv6B/nj+b/5n/mD+Wf5T/k3+SP5E/kH+Pv48/jv+Ov46/jv+Pf4//kH+RP5H/kr+Tv5R/lX+Wf5d/mH+Zf5p/m3+cf51/nn+fv6C/of+jf6S/pj+n/6m/q3+tf6+/sf+0P7Z/uP+7P72/wD/Cf8S/xr/Iv8q/zD/Nf86/z7/QP9C/0P/Qv9B/z//Pf85/zb/Mv8u/yr/Jv8i/x7/G/8Z/xf/F/8X/xf/Gf8b/x//I/8n/y3/Mv85/0D/Rv9O/1X/XP9j/2r/cP92/3z/gv+G/4v/jv+R/5P/lf+W/5b/lv+V/5P/kP+N/4n/hP9//3j/cf9p/2H/V/9N/0P/N/8s/x//E/8G/vj+6/7e/tD+w/62/qn+nP6Q/oX+ev5v/mX+W/5S/kr+Qf45/jL+Kv4i/hv+E/4K/gL9+P3v/eT92f3N/cH9s/2l/Zb9hv11/WT9U/1B/S79G/0J/Pb84/zQ/L78rPya/In8ePxo/Fj8SPw5/Cr8HPwO/AD78vvk+9b7yPu6+6v7nPuM+3z7avtZ+0b7M/sf+wr69frf+sj6sfqa+oL6afpR+jn6IPoI+fD52PnA+an5kvl8+Wb5Ufk8+Sj5FPkB+O/43fjL+Lr4qfiZ+Ij4ePho+Fj4SPg4+Cn4GfgJ9/n36vfa98r3uver95v3i/d892z3XfdN9z73L/cg9xD3Afby9uP20/bE9rT2pfaV9oX2dPZk9lP2QvYx9iD2DvX89er12PXF9bP1oPWN9Xv1aPVV9UL1L/Uc9Qj09fTi9M/0vPSp9Jb0g/Rw9F70S/Q49Cb0FPQC8/Dz3/PO873zrfOd843zfvNu81/zUPNB8zLzI/MU8wTy9PLj8tLywPKt8pnyhfJv8lnyQvIq8hHx+PHf8cXxq/GR8XjxX/FH8S/xGfEF8PLw4PDQ8MPwt/Ct8KXwnvCa8JfwlvCV8JbwmPCa8Jzwn/Ch8KPwpPCk8KPwofCe8Jnwk/CM8IPwevBv8GPwV/BK8D3wMPAj8BbwCu/+7/Pv6e/g79nv0u/N78jvxe/D78Lvwu/D78Xvx+/K783v0O/T79fv2u/e7+Hv5O/n7+rv7O/v7/Hv8+/17/fv+e/77/7wAPAD8AbwCfAM8BDwFPAY8B3wIvAn8C3wM/A68EHwSPBQ8FnwYfBr8HTwf/CJ8JTwn/Cr8LfwwvDO8Nrw5vDx8PzxBvEQ8RjxIPEm8SvxLvEw8TDxL/Es8SfxIPEY8Q7xAvD18Ofw2PDH8LbwpPCS8H/wbfBa8EjwNfAj8BLwAe/x7+Lv0+/F77jvq++g75Tvie9/73Xva+9i71nvUO9H7z7vNe8s7yPvGu8R7wju/+727u3u5e7c7tPuyu7C7rnuse6p7qHumu6S7ovuhe5+7njucu5s7mfuYu5d7ljuU+5P7kvuR+5D7j/uO+447jTuMe4u7iruJ+4k7iDuHe4a7hfuFO4Q7g3uCu4H7gTuAO397frt9+307fHt7u3r7ent5u3j7eHt3u3c7dnt1+3V7dLt0O3O7cvtye3G7cPtwe2+7bvtue227bPtse2u7aztqu2o7abtpO2i7aHtoO2f7Z7tne2d7Z3tnO2d7Z3tne2d7Z7tnu2e7Z/tn+2f7Z/tn+2f7Z/tn+2f7Z7tnu2d7Z3tnO2c7Zvtm+2a7Zrtmu2Z7Zntme2Y7ZjtmO2X7Zftl+2W7Zbtle2V7ZTtk+2T7ZLtke2R7ZHtke2R7ZHtk+2U7ZbtmO2c7aDtpO2q7bDtt+2/7cjt0e3b7ebt8e397gnuFu4i7i/uO+5I7lTuYO5r7nXuf+6I7pDumO6e7qTuqO6s7rDusu607rbut+647rjuue667rvuvO6+7sDuw+7H7svu0O7W7tzu5O7s7vTu/e8G7xDvGu8k7y7vOO9B70vvVO9c72XvbO9z73nvfu+D74jvi++O75Hvk++V75bvl++Y75nvme+a75vvm++c753vn++g76Hvo++l76fvqe+r767vsO+y77Xvt++577zvvu/B78Pvxu/J78vvzu/S79bv2e/e7+Pv6O/u7/Xv/PAE8AzwFvAg8CrwNvBB8E7wW/Bo8HbwhPCT8KHwr/C+8Mzw2vDo8PXxAvEP8RvxJ/Ey8T3xR/FR8VvxZfFv8XnxgvGM8ZfxofGs8bjxxPHQ8d3x6/H58gjyGPIo8jjySfJa8mzyffKP8qHysvLE8tXy5fL28wbzFvMl8zTzQ/NS82DzbvN884rzmPOm87TzwvPR89/z7vP89Av0GvQo9Df0RfRT9GH0bfR69IX0j/SY9KH0qPSt9LL0tfS39Lf0t/S19LL0rvSq9KT0nvSY9JH0i/SE9H30d/Rx9Gz0Z/Ri9F/0W/RZ9Ff0VvRW9Fb0V/RY9Fr0XPRe9GH0ZPRn9Gr0bvRy9HX0efR99IH0hPSI9Iz0j/ST9Jb0mfSb9J70oPSh9KL0ovSi9KH0n/Sd9Jn0lfSR9Iv0hfR/9Hj0cfRp9GL0WvRT9E30R/RB9D30OvQ39Df0N/Q49Dv0P/RE9Ev0UvRa9GT0bfR39IL0jPSW9KD0qfSy9Lr0wfTH9Mz0z/TS9NT01fTV9NT00/TR9M/0zfTK9Mj0xvTF9MT0xPTE9Mb0yPTM9ND01fTb9OL06vTy9Pv1BfUP9Rn1I/Ut9Tf1QfVL9VX1XvVn9W/1d/V/9Yb1jfWU9Zr1oPWm9av1sPW29bv1wPXF9cn1zvXT9dj13fXi9ef17PXx9fX1+vX/9gT2CPYN9hL2F/Yb9iD2JfYr9jD2NvY89kP2SvZR9ln2YvZs9nb2gfaN9pr2qPa39sb21vbo9vn3DPcf9zL3Rvda9233gfeU96b3t/fI99f35Pfw9/v4A/gJ+A74EPgP+A34CfgC9/r38Pfl99j3y/e89673n/eR94P3dvdr92H3WfdT90/3TvdP91P3Wvdi9273e/eL9533sPfF99v38vgJ+CD4N/hO+GT4efiO+KH4svjD+NL43/jr+Pb5APkI+Q/5Fvkc+SH5Jvkq+S/5M/k3+Tv5P/lD+Ub5SvlN+VD5UvlU+VT5VPlU+VL5T/lL+Ub5QPk5+TH5KPkf+Rb5DfkD+Pv48/js+Ob44vjf+N/44Pjk+Or48/j++Qz5HPku+UL5Wflw+Yr5pPm/+dv59/oT+i/6Svpk+n36lfqr+r/60vrj+vL6//sL+xX7Hfsk+yr7L/sy+zX7N/s5+zv7Pfs++0D7Q/tF+0j7S/tP+1T7Wfte+2P7aPtu+3T7eft/+4T7ifuN+5H7lPuX+5n7mvub+5z7m/ub+5r7mPuW+5T7kvuQ+477jPuJ+4j7hvuE+4P7gvuB+4D7gPt/+3/7fvt++337fPt7+3r7ePt2+3P7cftu+2r7Zvti+177WvtV+1H7TftJ+0X7Qvs/+w77C/sI+wb7BPsD+wP7A/sE+wb7CPsL+w77EvsW+xv7H/sk+yn7Lvsz+zj7PftC+0b7S/tP+1P7V/tb+2D7ZPto+237cvt3+3z7gvuI+4/7lvud+6X7rPu0+7z7xPvL+9P72fvg++b76/vv+/P79fv3+/j7+Pv2+/T78vvu++r75vvh+9z72PvU+9D7zfvL+8r7y/vN+9D71fvc++X78Pv8/Ar8G/wt/ED8Vfxs/IT8nfy3/NH87P0I/ST9QP1c/Xf9kv2t/cf94P34/hD+Jv48/lD+ZP53/oj+mf6p/rj+xv7T/t/+6/72/wD/Cf8S/xn/If8o/y3/M/83/zz/P/9C/0T/Rv9H/0f/R/9G/0X/Q/9B/z7/O/83/zP/L/8q/yX/H/8Z/xP/Df8G/v/++P7w/uj+4P7Y/s/+xv69/rT+qv6g/pb+jP6C/nj+bf5j/ln+T/5F/jv+Mv4p/iD+GP4R/gr+BP3//fr99v3z/fH98P3v/e/97/3x/fL99f34/fv9/v4C/gb+Cv4O/hL+Fv4a/h7+Iv4m/ir+Lv4y/jb+O/4//kP+SP5N/lL+V/5d/mP+af5v/nb+fP6D/or+kP6X/p3+o/6p/q7+sv62/rn+vP6+/r/+v/6//r7+vP66/rj+tf6y/rD+rf6q/qj+pv6l/qT+pP6l/qb+qf6s/rD+tf67/sH+yP7P/tj+4P7o/vH++f8B/wn/Ef8X/x7/I/8o/yv/Lv8w/zH/Mf8w/y3/Kv8m/yH/G/8U/w3/BP77/vL+6P7d/tL+xv66/q7+of6V/oj+e/5t/mD+U/5G/jn+LP4f/hL+Bv36/e794/3X/c39wv24/a79pf2b/ZL9iv2B/Xj9cP1n/V79Vf1M/UP9Of0v/ST9Gv0O/QL89vzq/N38z/zB/LP8pfyW/Ij8efxq/Fv8Tfw+/DD8IfwT/AX7+Pvr+9370PvE+7f7qvud+5H7hPt3+2r7XPtP+0H7Mvsj+xP7A/rz+uL60Pq++qz6mfqG+nL6XvpK+jb6IfoN+fj55PnP+bv5p/mU+YD5bfla+Uf5Nfkj+RH4//ju+N34zPi7+Kv4mviK+Hr4avha+Er4Ovgq+Bv4C/f89+z33ffO97/3sPeh95L3hPd192f3WPdK9zz3Lfcf9xD3Afbz9uP21PbF9rX2pfaV9oT2c/Zi9lD2PvYs9hr2B/X09eH1zvW79aj1lPWB9W31WvVH9TP1IPUN9Pr05/TU9MH0rvSc9Ir0d/Rl9FP0QfQv9B30DPP78+rz2fPJ87nzqfOZ84rze/Ns813zT/NB8zPzJPMW8wjy+fLr8tvyzPK88qvymvKJ8nfyZPJQ8jzyKPIT8f7x6fHU8b/xqvGV8YHxbvFb8UrxOfEq8RzxEPEF8Pvw8/Ds8Obw4vDf8N3w2/Db8Nrw2/Db8Nvw3PDb8Nrw2fDX8NTw0PDL8MXwvvC28K3wo/CZ8I7wgvB28GvwX/BT8EfwPPAy8CjwH/AX8BDwCvAG8ALv/+/+7/3v/u//8ALwBfAJ8A3wEvAX8BzwIvAn8CzwMfA28DvwP/BC8EXwSPBK8EvwTPBN8E3wTfBM8EvwS/BK8EnwSfBJ8ErwTPBO8FHwVvBb8GLwavBz8H7wivCY8Kfwt/DI8Nvw7vEC8RbxKvE/8VPxZ/F68YzxnfGs8brxxvHQ8djx3vHi8ePx4vHf8drx0/HK8b/xsvGk8ZXxhfF18WTxUvFB8TDxH/EO8P7w7/Dh8NPwxvC68K7wpPCa8JDwh/B+8HXwbPBj8FrwUfBG8DzwMfAl8BjwC+/97+7v3+/O777vre+c74vvee9o71fvRu827ybvF+8I7vvu7u7j7tjuzu7F7r7ut+6x7qvup+6j7p/une6a7pjulu6U7pHuj+6N7ovuiO6F7oLufu567nbucu5t7mjuY+5e7lnuVO5P7kruRe5A7jzuOO407jDuLO4p7iXuIu4f7hzuGu4X7hTuEe4O7gzuCe4F7gLt/+377fjt9O3x7e3t6u3m7ePt4O3d7drt2O3X7dXt1O3T7dPt1O3U7dXt1+3Y7drt3O3e7eHt4+3l7ejt6u3r7e3t7u3v7fDt8e3x7fHt8e3w7e/t7+3u7e3t7O3r7ert6e3p7ejt6O3o7ejt6e3p7ert6+3r7ezt7e3u7e/t8O3x7fHt8u3y7fPt8+3z7fPt9O307fXt9u337fjt+u397gDuBO4I7g3uE+4a7iLuKu4z7jzuRu5R7lzuZ+5z7n7uie6V7p/uqu607r3uxu7O7tXu2+7g7uXu6O7r7u7u7+7x7vHu8u7y7vLu8u7z7vPu9e727vju++7+7wLvBu8L7xHvF+8d7yTvLO8z7zvvQ+9K71LvWe9g72fvbu9z73nvfu+C74bvie+M74/vke+U75Xvl++Z75vvne+f76HvpO+n76rvre+x77Xvuu++78PvyO/O79Pv2O/e7+Pv6O/t7/Lv9+/78ADwBPAI8AzwEPAU8BjwHPAg8CXwKvAv8DTwOvBB8EjwUPBY8GHwa/B18H/wivCW8KLwrvC68Mfw0/Dg8Ozw+PEE8RDxG/Em8TDxOvFE8U3xVvFf8WfxcPF48YDxiPGR8ZnxovGs8bbxwfHM8djx5fHy8gDyD/Ie8i7yP/JQ8mLydPKH8pnyrPK/8tLy5fL48wvzHfMv80HzU/Nk83XzhvOW86bztvPG89Xz5PPy9AD0DvQb9Cj0NfRA9Ez0V/Rh9Gr0cvR69IH0h/SM9JD0k/SU9JX0lvSV9JP0kfSO9Iv0h/SC9H70efR19HD0bPRo9GT0YfRf9F30W/Rb9Fv0W/Rc9F70YPRj9Gb0avRu9HL0dvR79ID0hPSJ9I30kfSV9Jr0nfSh9KT0qPSr9K30sPSy9LT0tfS39Lj0uPS49Lj0uPS29LX0s/Sx9K70q/So9KT0oPSc9Jf0k/SP9Iv0h/SE9IH0f/R99Hz0fPR99ID0g/SH9Iz0kvSY9KD0qPSx9Lv0xPTO9Nj04vTs9PX0/fUF9Qz1EvUX9Rz1H/Uh9SP1JPUk9SP1IvUg9R/1HfUb9Rr1GfUZ9Rn1GvUd9SD1JPUp9TD1N/VA9Un1U/Ve9Wr1dvWC9Y71mvWm9bL1vfXH9dH12vXh9ej17vXy9fX1+PX59fn1+PX39fT18fXu9ev15/Xk9eD13fXb9dn12PXX9dj12fXc9eD15PXr9fL1+vYE9g/2GvYn9jT2Q/ZS9mL2cvaD9pT2pva49sr22/bt9v/3Efci9zP3RPdV92X3dPeD95L3oPet97n3xffQ99v35Pft9/T3+/gA+AX4CfgM+A34DvgN+Av4CfgG+AH3/Pf39/D36vfj99z31ffP98j3w/e997n3tve097P3s/e197j3vPfC98n30ffb9+b38vf++Az4Gvgo+Df4RfhU+GL4cPh++Iv4l/ij+K74ufjC+Mv41Pjb+OL46fjw+Pb4/PkB+Qf5DfkS+Rj5Hvkj+Sn5L/k0+Tn5PvlC+UX5SPlK+Uv5TPlL+Un5RvlC+T35N/kw+Sj5IPkX+Q75Bfj8+PT47Pjl+N/42vjX+Nb41vjY+Nz44vjq+PT5APkO+R35LvlA+VP5Z/l8+ZH5pvm7+dD55Pn4+gv6Hfot+jz6S/pX+mP6bfp2+n76hfqL+pD6lfqZ+p36ofqk+qj6rfqx+rb6vPrC+sn60PrY+uD66fry+vv7BPsN+xb7H/sn+y/7N/s9+0P7SftN+1D7U/tV+1b7VvtW+1X7VPtS+1D7TvtM+0n7R/tF+0P7QvtA+0D7P/s/+z/7P/tA+0H7QftC+0P7RPtF+0X7RftF+0T7QvtB+z77PPs4+zX7Mfst+yj7JPsf+xv7FvsS+tz62PrU+tH6zvrM+sv6yvrK+sv6zfrP+tL61frZ+t364vrn+uz68vr3+v37A/sI+w77E/sZ+x77I/sp+y77M/s4+z77Q/tJ+077VPta+2D7Z/tt+3T7evuB+4f7jfuU+5n7n/uk+6j7rPuv+7H7s/u0+7T7s/ux+6/7rPup+6X7ofuc+5j7k/uP+4z7ifuH+4b7hvuI+4v7j/uV+537pvux+777zfvd++/8A/wY/C78Rfxe/Hf8kfyr/Mb84fz7/Rb9MP1K/WT9ff2U/az9wv3X/ez9//4R/iL+M/5C/lD+Xv5q/nb+gf6L/pT+nf6l/qz+s/65/r7+xP7I/sz+0P7T/tb+2P7a/tv+3P7c/tz+3P7b/tr+2P7W/tP+z/7M/sf+w/69/rj+sf6r/qT+nP6U/ov+gv55/m/+Zf5a/lD+Rf46/i7+I/4Y/g3+Af32/ez94f3Y/c79xf29/bX9rv2o/aP9nv2a/Zf9lP2T/ZL9kv2S/ZP9lf2X/Zr9nf2g/aT9qP2s/bD9tP24/bz9wP3E/cj9zP3Q/dT92P3c/eD95f3p/e398f32/fr9//4E/gn+Dv4T/hf+HP4h/iX+Kf4t/jD+M/41/jf+OP44/jj+N/42/jT+Mf4u/iv+KP4k/iD+Hf4a/hf+FP4S/hH+EP4R/hL+Ff4Y/h3+I/4q/jH+Ov5E/k7+Wf5k/nD+fP6H/pP+nv6p/rP+vP7E/sv+0P7V/tj+2f7Z/tf+1P7P/sn+wv65/q/+o/6X/or+e/5s/l3+Tf49/iz+G/4K/fr96f3Z/cj9uf2p/Zr9jP19/XD9Y/1W/Un9Pv0y/Sf9HP0S/Qj8/vz0/Ov84vzZ/M/8xvy9/LT8q/yi/Jj8j/yF/Hz8cvxo/F38U/xJ/D78M/wo/B78E/wI+/378vvn+9z70fvG+7v7sPul+5r7kPuF+3r7b/tk+1r7TvtD+zj7LPsh+xX7CPr8+u/64vrU+sf6uPqq+pv6jfp9+m76XvpP+j/6L/of+g75/vnu+d75zvm++a75nvmO+X/5b/lg+VD5Qfkx+SL5EvkD+PP45PjU+MX4tfil+JX4hfh2+Gb4VvhG+Df4J/gY+Aj3+ffq99z3zfe+97D3oveV94f3evds91/3UvdE9zf3Kvcc9w73APby9uP21PbE9rT2pPaT9oL2cPZe9kz2OfYm9hL1//Xr9df1w/Wu9Zr1hvVy9V71SvU29SL1D/T89On01vTD9LD0nvSL9Hn0Z/RV9EP0MvQg9A/z/fPs89vzyvO586nzmPOI83jzaPNZ80nzOvMs8x3zD/MB8vPy5fLX8snyu/Kt8p/ykfKD8nTyZfJX8kfyOPIp8hnyCfH68erx2vHL8bzxrfGf8ZHxhPF38WzxYfFX8U7xRvE+8TjxM/Eu8SrxJ/Ek8SLxIPEe8RzxG/EZ8RfxFfES8Q7xCvEF8QDw+fDz8Ovw4vDZ8NDwxvC78LHwpvCc8JHwh/B98HTwbPBk8F7wWPBT8FDwTfBM8EzwTfBP8FHwVfBa8F/wZPBq8HDwdvB88IHwhvCL8I/wkvCV8Jbwl/CX8JbwlPCR8I7wifCF8IDwe/B38HLwbvBr8GnwaPBo8GrwbvBz8HrwhPCQ8J3wrfC/8NPw6fEA8RnxNPFP8Wvxh/Gk8cDx3PH28hDyKPI/8lTyZvJ28oPyjvKX8pzyn/Kf8p3ymPKR8ojyffJx8mPyVPJF8jXyJPIU8gTx9PHk8dbxyPG68a7xovGY8Y3xhPF78XLxavFi8VnxUPFH8T3xMvEn8RrxDPD+8O3w3PDK8LbwofCM8HXwXvBG8C/wF+//7+fv0O+576Pvju9672jvV+9H7zjvK+8f7xTvC+8D7v3u9+7y7u7u6+7o7uXu4+7h7t/u3O7a7tfu1O7R7s3uyu7F7sHuvO637rHurO6m7qHunO6W7pLuje6I7oTuge597nrud+507nLub+5t7mvuae5m7mTuYe5e7lvuV+5U7k/uS+5G7kDuO+417i/uKe4j7h3uGO4S7g3uCe4F7gLt/+397fvt++377fvt/O3+7gHuBO4H7gvuD+4T7hfuG+4f7iPuJ+4q7i3uL+4y7jPuNO417jbuNu427jbuNe417jTuM+4z7jLuMu4x7jHuMe4x7jLuMu4z7jTuNe427jfuOe467jvuPO497j7uPu4/7j/uQO5A7kHuQe5C7kPuRO5F7kfuSe5M7k/uU+5Y7l3uYu5p7nDueO6A7ojuke6b7qTuru647sLuy+7U7t3u5u7u7vXu/O8C7wfvDO8Q7xPvFu8Y7xrvHO8d7x7vHu8f7yDvIe8i7yPvJe8n7ynvLO8w7zPvN+8870DvRe9L71DvVe9b72DvZu9r73Dvde95737vgu+F74nvjO+P75Lvle+Y75vvnu+h76Tvp++r76/vtO+5777vxO/K79Dv1+/e7+Xv7e/07/zwBPAL8BLwGvAh8CjwLvA08DrwQPBF8ErwT/BT8FjwXPBh8GXwavBu8HPwefB/8IXwjPCT8Jvwo/Cs8LbwwPDK8NXw4PDr8PfxAvEO8RrxJfEw8TvxRvFQ8VnxY/Fr8XPxe/GC8Ynxj/GV8ZvxoPGm8avxsfG38b3xxPHL8dPx2/Hk8e7x+fIF8hHyHvIt8jzyTPJd8m7ygfKU8qfyu/LQ8uXy+vMP8yXzOvNQ82XzevOP86Pzt/PK893z7/QA9BH0IPQv9D30SvRV9GD0afRx9Hj0fvSD9If0ifSL9Iv0i/SK9If0hfSB9H30efR19HD0a/Rn9GL0XvRa9Ff0VfRT9FH0UPRQ9FH0U/RV9Ff0W/Rf9GP0aPRt9HP0ePR+9IT0ivSP9JX0mvSf9KT0qPSs9LD0s/S29Lj0uvS89L30vvS/9MD0wPTA9L/0v/S+9L30vPS69Lj0t/S19LP0sfSv9K30q/Sp9Kf0pvSl9KT0o/Sj9KT0pfSn9Kr0rfSx9Lb0vPTD9Mr00vTb9OX07/T59QT1D/Ua9SX1MPU79UX1T/VY9WH1afVw9Xb1fPWA9YT1h/WK9Yv1jfWO9Y71j/WP9ZD1kfWS9ZT1lvWZ9Z31ovWo9a71tfW99cb1z/XY9eL17fX39gH2C/YV9h72JvYt9jT2OfY99j/2QfZB9j/2PPY49jP2LPYl9h32FPYL9gH1+PXv9eb13vXX9dL1zfXK9cn1yfXM9dD11/Xg9er19/YG9hf2KvY+9lT2bPaE9p72uPbT9u73Cfck9z/3Wfdy94v3ove498334Pfy+AL4EPgc+Cf4MPg3+D34QfhD+ET4RPhC+ED4PPg4+DP4Lvgo+CL4HPgW+BD4CvgF+AD3+/f39/T38vfw9+/37/fw9/L39ff49/34AvgI+A74Ffgd+CX4Lvg3+ED4SfhS+Fv4ZPht+Hb4fviG+I74lfib+KL4p/it+LL4tvi7+L/4w/jH+Mv4z/jT+Nf43Pjh+Ob47Pjx+Pj4/vkF+Qz5E/kb+SL5Kfkv+TX5O/lA+UT5SPlK+Uz5TPlL+Ur5R/lD+T75OPkx+Sr5Ivka+RH5CfkB+Pn48fjr+OX44Pjd+Nv42vjb+N344fjm+O349Pj++Qj5E/kg+S35OvlI+Vb5ZPly+X/5jPmZ+aX5sPm6+cT5zfnV+dz54/np+e758/n4+f36AvoH+gz6EfoX+h76Jfot+jX6PvpI+lL6Xfpp+nT6gfqN+pn6pvqy+r76yfrU+t766Prw+vj6//sF+wr7DvsR+xP7FPsV+xT7FPsT+xL7EPsO+w37C/sK+wj7CPsH+wf7B/sH+wj7CfsL+wz7DvsP+xH7EvsT+xT7FPsU+xT7E/sR+w/7DfsK+wb7Avr++vn69Prv+ur65frg+qv6p/qj+qD6nvqc+pv6mvqb+pz6nfqg+qP6p/qr+q/6tPq6+sD6xfrL+tH61/rd+uP66frv+vT6+vr/+wT7CfsO+xP7GPsd+yH7J/ss+zH7Nvs7+0H7RvtM+1H7V/tc+2H7Zvtr+2/7c/t2+3n7e/t8+337fvt++337fPt6+3j7dfty+2/7bPtq+2f7Zftk+2P7Y/tk+2f7avtv+3X7fPuG+5D7nfuq+7r7y/vd+/D8Bfwa/DH8SPxg/Hn8kvyr/MT83fz2/Q79Jv09/VT9av1//ZP9pv24/cn92f3o/fb+A/4P/hr+JP4u/jf+P/5G/k3+U/5Z/l7+Y/5n/mv+b/5y/nX+eP56/nz+fv5//oD+gf6B/oH+gP5//n3+e/54/nT+cP5r/mb+YP5Z/lL+Sv5B/jj+Lv4k/hn+Dv4D/ff96/3g/dT9yP28/bH9pf2b/ZD9hv19/XX9bf1l/V/9Wf1U/VD9Tf1K/Un9R/1H/Uf9SP1J/Uv9Tf1P/VL9Vf1Y/Vz9X/1j/Wb9av1t/XH9dP13/Xv9fv2C/Yb9if2N/ZH9lf2Z/Z39of2m/ar9r/2z/bj9vf3B/cX9yf3N/dD90/3W/dj92f3Z/dn92f3X/dX90v3P/cv9x/3C/b79uf20/a/9qv2m/aL9n/2d/Zv9m/2c/Z79of2l/av9sf26/cL9zf3Y/eP98P39/gr+F/4k/jH+Pv5J/lT+Xv5n/m/+df55/nz+ff58/nn+df5v/mf+Xv5T/kf+Of4q/hr+Cf33/eX90v3A/az9mf2G/XP9Yf1P/T39Lf0c/Q38/vzv/OH81PzI/Lz8sfym/Jz8kvyI/H78dfxs/GP8WvxR/Ej8P/w2/C38I/wa/BD8Bvv9+/P76fvf+9X7y/vA+7b7rfuj+5n7j/uF+3z7c/tp+2D7V/tO+0X7PPsz+yr7IPsX+w77BPr6+vD65vrb+tD6xfq5+q36ofqU+oj6e/pt+mD6U/pF+jf6Kfob+g36APny+eT51/nJ+bz5r/mh+ZX5iPl7+W75YflV+Uj5O/ku+SH5FPkH+Pn46/je+M/4wfiy+KT4lPiF+Hb4Z/hX+Ej4OPgp+Bn4Cvf89+333vfQ98L3tfeo95v3jveB93X3afdd91H3Rfc59y33IfcV9wj2+vbt9t/20PbB9rH2ofaQ9n/2bfZa9kf2NPYg9gz1+PXk9c/1uvWm9ZH1ffVp9VT1QPUt9Rn1BvTz9OD0zvS89Kr0mPSH9HX0ZPRT9EH0MPQf9A7z/fPr89rzyfO486bzlfOE83PzYvNR80HzMPMg8xDzAfLx8uLy1PLF8rfyqfKc8o/ygvJ18mnyXfJR8kXyOfIu8iPyGPIN8gLx9/Ht8ePx2fHP8cbxvfG08azxpPGd8Zbxj/GJ8YTxfvF58XXxcfFt8WnxZfFi8V7xW/FX8VPxT/FL8UbxQfE78TXxL/Eo8SHxGvES8QrxAvD58PHw6fDh8Nnw0fDK8MTwvvC48LTwsPCu8Kzwq/Cr8KvwrfCv8LLwtvC68L7ww/DH8Mzw0PDV8Njw3PDe8ODw4fDi8OHw4PDe8Nvw1/DT8M7wyfDE8L/wuvC18LHwrvCs8Kvwq/Ct8LHwt/C/8Mnw1fDj8PPxBvEa8THxSfFi8X3xmfG28dPx8PIN8iryRvJh8nrykvKp8r3yz/Le8uvy9vL+8wPzBvMH8wXzAfL78vPy6vLg8tTyx/K68q3yn/KR8oPydvJp8l3yUfJG8jzyMvIo8h/yFvIO8gXx/PHz8enx3/HU8cjxu/Gs8Z3xjPF68WbxUvE88SXxDfD08NvwwfCn8IzwcvBY8D/wJvAO7/fv4u/N77vvqe+Z74vvfu9y72jvX+9X71DvSu9F70HvPe857zbvMu8v7yvvJ+8j7x7vGe8U7w7vCO8B7vru8+7s7uXu3e7W7tDuye7D7r7uue617rHuru6r7qnuqO6n7qbupu6m7qbupe6l7qXupO6j7qLuoO6d7prulu6S7o3uh+6B7nvudO5t7mbuXu5X7lDuSe5D7j3uOO407jDuLe4q7inuKO4p7iruK+4u7jHuNO447j3uQe5G7kvuT+5U7ljuXO5g7mPuZu5o7mrua+5t7m3ube5t7m3ubO5r7mvuae5p7mfuZu5l7mXuZO5j7mPuY+5j7mPuY+5k7mTuZe5m7mbuZ+5p7mrua+5s7m3ub+5x7nPude537nrufe6A7oTuiO6M7pHulu6c7qLuqe6v7rbuvu7G7s3u1e7d7uXu7e707vzvA+8K7xDvFu8c7yHvJu8q7y7vMu817zjvO+8+70DvQu9F70fvSe9M707vUe9V71jvXO9f72PvaO9s73Hvdu9673/vhO+J747vku+X75vvn++j76bvqu+t77Dvs++177jvu++978Dvw+/G78rvze/R79bv2+/g7+bv7O/y7/nwAPAI8A/wF/Af8CjwMPA48EDwSPBP8FfwXvBk8GvwcfB28HzwgfCF8IrwjvCT8Jfwm/Cg8KTwqfCv8LTwuvDB8Mjw0PDY8OHw6vD08P7xCfEU8SDxK/E38ULxTvFZ8WTxb/F58YPxjPGV8Z3xpPGr8bHxtvG78b/xw/HG8crxzPHP8dLx1fHY8dvx3/Hk8enx7/H28f7yB/IR8hzyKPI28kXyVfJm8njyi/Kg8rXyyvLh8vjzD/Mn8z/zV/Nv84bznfO088rz3/Pz9Ab0GPQp9Dn0R/RU9F/0afRy9Hn0f/SD9Ib0iPSI9Ij0h/SE9IL0fvR69Hb0cfRt9Gj0ZPRg9Fz0WfRW9FT0UvRS9FL0UvRU9Fb0WPRc9F/0ZPRp9G30c/R49H70hPSJ9I/0lPSZ9J70o/Sn9Kv0rvSx9LT0tvS49Ln0u/S89Lz0vfS99L30vfS99L30vPS89Lv0uvS69Ln0uPS49Lf0tvS29LX0tfS09LT0tPS09LX0tvS39Ln0u/S99MD0xPTJ9M701PTa9OH06fTx9Pv1BPUP9Rn1JPUw9Tv1R/VT9V/1avV29YH1jPWW9Z/1qfWx9bn1wfXI9c711PXZ9d714/Xn9ev17/Xz9ff1+/YA9gX2CvYP9hT2GvYg9if2LfY09jv2QvZI9k/2VfZa9l/2Y/Zm9mj2afZp9mj2ZvZj9l72WPZR9kn2P/Y29iv2IPYV9gr1/vXz9en14PXY9dH1y/XH9cb1xvXI9c311PXd9en19/YI9hv2MPZH9l/2evaW9rP20fbv9w73LfdM92r3iPek97/32ffx+Af4G/gt+D34S/hW+F/4Zfhq+Gz4bPhq+Gf4Yvhc+FX4TPhD+Dr4MPgn+B34FPgL+AP3/Pf29/H37ffq9+n36ffq9+338ff29/z4A/gL+BT4Hfgn+DL4PfhH+FL4Xfho+HL4e/iF+I34lfid+KP4qfiv+LT4uPi7+L74wfjE+Mb4yPjK+Mz4z/jR+NT41/jb+N/45Pjp+O/49fj7+QL5CfkR+Rj5IPkn+S75Nfk8+UH5RvlL+U75UflT+VP5U/lS+U/5TPlI+UL5Pfk2+TD5KPkh+Rr5EvkL+QX4//j6+PX48vjv+O747vju+PD48/j4+P35A/kK+RH5Gvkj+Sz5Nvk/+Un5U/lc+WX5bvl2+X75hvmN+ZP5mfmf+aT5qfmt+bL5t/m7+cD5xfnK+dD51/ne+eX57fn2+f/6CfoU+h/6Kvo2+kL6Tvpa+mb6cfp9+oj6k/qc+qb6rvq2+r36w/rI+s360PrT+tX61/rY+tj62PrY+tj62PrX+tf61/rX+tf61/rY+tn62vrc+t363/rh+uP65frn+uj66vrr+uv66/rr+ur66Prm+uT64frd+tn61PrP+sr6xfq/+rr6tfqw+nv6d/pz+nD6bfpr+mr6avpq+mr6bPpu+nH6dPp4+nz6gPqF+or6j/qV+pr6n/ql+qr6r/q0+rn6vvrD+sj6zPrR+tX62vrf+uT66fru+vP6+Pr++wT7CvsQ+xb7HPsj+yn7MPs2+zz7QftH+0z7UPtU+1j7W/td+1/7YPth+2H7Yftg+1/7Xvtd+1v7WvtZ+1n7WPtZ+1r7XPtf+2P7aPtu+3b7f/uJ+5T7ofuv+7/70Pvh+/T8CPwd/DL8SPxe/HX8i/yi/Lj8z/zl/Pr9D/0j/Tb9Sf1a/Wv9e/2J/Zf9pP2v/br9xP3N/db93f3k/ev98P32/fr9//4D/gf+Cv4N/hD+E/4V/hj+Gv4c/h3+Hv4f/iD+IP4g/h/+Hv4c/hn+Fv4S/g7+Cf4D/f399v3u/eb93v3U/cv9wf23/az9ov2X/Yz9gv14/W79ZP1b/VL9Sv1D/Tz9Nv0x/Sz9KP0l/SL9IP0f/R/9H/0f/SD9Iv0k/Sb9KP0r/S79MP0z/Tb9Of08/T/9Qf1E/Uf9Sv1M/U/9Uv1V/Vj9W/1e/WL9Zv1p/W39cf12/Xr9f/2D/Yj9jf2R/ZX9mf2d/aH9o/2m/aj9qf2q/ar9qf2o/ab9o/2g/Zz9mP2T/Y/9iv2E/X/9e/12/XL9b/1s/Wr9af1o/Wn9a/1u/XL9d/19/YX9jf2W/Z/9qv20/b/9yv3W/eH96/31/f7+B/4O/hT+Gf4d/h/+IP4f/hz+GP4S/gv+Av34/e394P3S/cT9tP2k/ZP9gv1x/V/9Tv08/Sv9Gv0K/Pr86/zc/M38wPyz/Kb8mvyP/IT8efxv/GX8XPxT/Er8Qfw4/C/8Jvwd/BP8CvwB+/f77vvk+9r70PvF+7v7sfum+5z7kvuH+337c/tp+1/7VftL+0L7OPsv+yX7HPsT+wn7APr2+u364/rZ+s/6xfq6+rD6pPqZ+o36gfp1+mn6XPpP+kL6Nfon+hr6Dfn/+fL55PnX+cr5vfmx+aT5mPmM+YD5dPlo+V35UflG+Tr5L/kj+Rj5DPkA+PT46Pjb+M74wfiz+KX4l/iJ+Hv4bPhd+E74P/gw+CH4EvgD9/T35vfY98r3vPev96P3lveK93/3c/do9133UvdI9z33M/co9x33EvcG9vv27vbi9tT2xva49qn2mfaJ9nj2ZvZU9kL2L/Yc9gj19PXg9cz1uPWj9Y/1e/Vo9VT1QfUu9Rv1CfT39OX01PTD9LL0ofSR9ID0cPRg9FD0P/Qv9B70DvP98+zz2/PK87nzp/OV84PzcvNg807zPfMr8xrzCPL48ufy1/LH8rjyqfKb8o3yf/Jz8mbyW/JQ8kXyO/Ix8ijyH/IW8g7yB/H/8fjx8vHr8eXx3/Ha8dTxz/HK8cTxwPG78bbxsvGt8anxpfGg8ZzxmPGT8Y/xivGG8YHxfPF38XLxbfFn8WLxXPFW8VDxSvFE8T7xN/Ey8SzxJvEg8RvxFvES8Q3xCvEH8QTxAvEA8P/w/vD+8P7w//EA8QLxA/EF8QfxCfEL8Q3xD/EQ8RLxEvET8RPxEvER8RDxDvEM8QnxBvED8QDw/fD68Pjw9vD08PTw9PD18Pfw+/EA8QbxDvEX8SLxL/E98UzxXfFv8YLxlvGs8cHx2PHv8gXyHPIy8kjyXfJx8oTylfKm8rXywvLN8tfy4PLm8uvy7vLw8vHy8PLu8uvy5/Lj8t7y2PLS8svyxfK+8rjysfKr8qTynfKX8pDyiPKB8nnycPJn8l3yUvJF8jjyKvIa8gnx9vHi8c3xt/Gf8YbxbfFS8TfxG/EA8OTwyPCs8JLwePBf8EfwMPAb8Afv9e/l79bvye++77Tvq++k757vme+V75Lvj++M74nvh++E74Dvfe9473Pvbe9m717vVe9M70LvN+8r7x/vE+8H7vru7u7i7tbuy+7B7rjur+6o7qHunO6Y7pXuk+6S7pLuk+6V7pfumu6d7qDuo+6m7qnurO6u7rDuse6x7rHusO6u7qzuqe6l7qHunO6X7pLujO6H7oHufO537nLubu5q7mfuZO5i7mHuYe5h7mLuY+5l7mjua+5u7nHude557n3uge6E7ojui+6O7pHuk+6V7pbul+6Y7pjumO6Y7pfulu6V7pPuku6Q7o7ujO6L7onuh+6G7oXug+6C7oLuge6B7oHuge6B7oLug+6E7obuh+6J7ovuju6R7pTumO6b7p/upO6o7q3us+647r7uxO7K7tDu1u7d7uPu6u7x7vfu/u8E7wrvEe8X7xzvIu8o7y3vMu837zzvQe9G70vvUO9U71nvXu9j72fvbe9y73fvfe+C74jvju+U75rvoO+m76zvsu+3773vwu/H78zv0e/W79nv3e/h7+Tv5+/p7+zv7u/w7/Lv9O/27/nv++/98ADwA/AH8ArwD/AT8BjwHvAk8CrwMPA38D/wRvBN8FXwXfBk8Gzwc/B68IHwiPCO8JTwmvCf8KTwqfCt8LHwtfC48Lzwv/DC8MbwyvDO8NLw1/Dc8OLw6PDv8Pbw/vEH8RDxGfEj8S7xOfFE8U/xWvFm8XHxfPGH8ZLxnPGl8a7xt/G/8cbxzPHS8dfx3PHf8ePx5vHo8evx7fHv8fHx9PH28frx/fIC8gfyDfIU8hzyJfIw8jvySPJW8mXydfKG8pnyrPLA8tXy6vMA8xbzLPND81nzb/OF85rzr/PC89Xz5/P49Aj0FvQj9C/0OvRD9Ev0UvRY9Fz0YPRi9GT0ZfRl9GX0ZPRj9GL0YfRg9F/0X/Re9F70X/Rg9GH0Y/Rl9Gj0a/Rv9HP0ePR99IL0h/SN9JL0mPSd9KL0p/Ss9LH0tfS49Lz0v/TC9MT0xvTI9Mn0yvTL9Mz0zPTN9M30zfTN9M30zfTO9M70zvTO9M70z/TP9M/0z/TP9ND00PTP9M/0z/TO9M70zfTN9Mz0zPTL9Mv0yvTK9Mr0y/TM9M30z/TR9NT01/Tc9OD05vTs9PP0+/UD9Qz1FfUf9Sn1M/U+9Un1VPVg9Wv1dvWB9Yz1l/Wi9az1tvXA9cn10vXb9eT17PX09fz2BPYM9hT2G/Yj9iv2MvY69kH2SPZQ9lf2XvZk9mv2cPZ29nr2fvaC9oT2hvaG9ob2hPaC9n72efZz9m32ZfZc9lP2SfY/9jT2KfYf9hT2CvYB9fj18fXr9eb14/Xh9eH14/Xo9e719/YB9g72HPYt9j/2U/Zp9oD2mPax9sr25Pb+9xj3MfdK92P3eveQ96T3tvfH99f35Pfv9/j3//gE+Af4CPgH+AX4Aff89/b37vfm99731ffM98P3u/ez96v3pfef95r3l/eV95T3lPeW95n3nfej96r3sve798T3z/fa9+b38vf++Av4F/gj+DD4PPhH+FL4Xfhn+HH4eviD+Iv4k/ia+KH4p/it+LP4ufi/+MT4yvjQ+Nb43Pjh+Oj47vj1+Pv5AvkI+Q/5Fvkc+SL5KPkt+TL5Nvk6+T35P/lB+UH5QflA+T75PPk5+TX5MPkr+SX5IPkZ+RP5DfkH+QH4+/j2+PH47fjq+Oj45vjl+Ob45/jp+Oz48Pj0+Pr5APkG+Q75Ffkd+SX5Lvk2+T75R/lP+Vf5X/lm+W35dPl7+YH5h/mN+ZP5mfmf+aT5qvmw+bb5vPnD+cr50fnZ+eH56fnx+fr6BPoN+hb6IPoq+jP6PfpG+k/6WPpg+mj6b/p2+nz6gfqG+or6jvqR+pT6lvqX+pn6mvqa+pv6m/qc+pz6nfqe+p/6oPqh+qP6pfqn+qn6rPqu+rH6tPq2+rn6u/q9+r/6wPrB+sH6wfrA+r76vPq6+rf6s/qv+qr6pfqg+pv6lfqP+or6hfqA+kj6RPpB+j36Ovo4+jb6Nfo0+jP6M/o0+jT6Nvo3+jn6PPo++kH6RPpH+kr6TfpR+lT6WPpc+l/6Y/pn+mv6b/p0+nn6fvqD+on6j/qV+pz6o/qr+rP6u/rE+s361vrf+uj68fr7+wT7DfsV+x37Jfss+zP7Ofs++0L7RvtJ+0v7TftO+077TvtN+0z7S/tJ+0j7RvtF+0X7RPtE+0X7R/tK+077UvtZ+2D7aPty+337ifuW+6T7tPvE+9X75/v6/A38Ifw1/En8Xfxx/IX8mPyr/L38z/zg/PD9AP0O/Rz9KP00/T/9Sf1T/Vv9Y/1q/XD9dv17/YD9hP2I/Yz9j/2S/ZX9mP2b/Z39n/2h/aP9pf2n/aj9qf2p/ar9qv2p/aj9p/2l/aP9n/2c/Zj9k/2O/Yj9gv18/XX9bv1m/V/9V/1P/Uf9P/04/TD9Kf0j/Rz9F/0R/Q39CP0F/QL9APz+/P38/Pz8/Pz8/fz//QD9Av0F/Qf9Cv0N/RD9E/0W/Rn9HP0e/SH9JP0n/Sr9LP0v/TL9Nf03/Tr9Pf1A/UT9R/1K/U79Uv1W/Vr9Xv1i/Wb9av1u/XL9dv15/Xz9f/2C/YT9hv2H/Yf9h/2H/Yb9hP2C/YD9ff16/Xf9c/1v/Wz9aP1k/WH9Xv1c/Vr9WP1X/Vf9WP1Z/Vv9Xv1i/Wb9a/1x/Xf9ff2E/Yv9kv2Z/aD9p/2u/bT9uf2+/cH9xP3G/cf9x/3G/cP9wP27/bX9r/2n/Z79lP2J/X79cv1m/Vj9S/0+/TD9Iv0V/Qf8+fzs/N/80vzG/Lr8rvyi/Jf8jPyC/Hj8bvxk/Fr8UfxI/D78Nfwr/CL8GPwO/AX7+/vx++f73PvS+8f7vfuy+6f7nPuR+4f7fPtx+2b7XPtR+0f7PPsy+yj7HfsT+wj6/vr0+un63/rU+sn6vvqz+qf6m/qP+oP6dvpq+l36UPpC+jX6J/oZ+gv5/fnv+eL51PnG+bn5q/me+ZH5hPl4+Wz5X/lU+Uj5PPkx+Sb5G/kQ+QX4+fju+OP41/jM+MD4tPin+Jv4jviB+HT4ZvhY+Er4PPgu+CD4EvgE9/X35/fa98z3v/ey96X3mfeN94H3dvdr92H3V/dN90P3Ofcv9yb3HPcT9wn2/vb09un23vbS9sX2ufar9p32jvZ/9m/2X/ZO9jz2K/YY9gb18/Xg9c31ufWm9ZP1gPVt9Vr1SPU19ST1EvUB9PD03/TO9L70rvSe9I70f/Rv9F/0UPRA9DD0IPQP8//z7vPd88vzuvOo85bzhPNy81/zTfM78ynzF/MF8vPy4vLR8sDysPKh8pLyg/J18mjyXPJQ8kTyOfIv8ibyHfIV8g3yBfH/8fjx8vHs8efx4vHd8djx1PHP8cvxx/HD8b/xu/G48bTxsPGs8ajxpPGh8Z3xmfGV8ZHxjfGJ8YXxgfF98XnxdPFw8WzxaPFk8WDxXPFZ8VXxUfFO8UrxR/FE8UHxPvE88TnxN/E18TPxMfEw8S7xLfEs8SvxKvEp8SnxKPEn8SfxJvEl8STxI/Ei8SLxIPEg8R/xHvEd8RzxG/Eb8RvxG/Eb8RzxHvEf8SLxJPEo8SzxMfE28T3xRPFL8VTxXfFm8XDxe/GG8ZLxnvGq8bfxxPHQ8d3x6vH28gLyDvIa8iXyMfI78kbyUPJZ8mPybPJ08nzyhfKM8pTynPKj8qrysfK48r7yxPLK8tDy1fLa8t7y4fLj8uTy5PLj8uDy3PLW8s/yxfK68qzynfKL8nfyYvJK8jHyFvH58dvxu/Gb8XrxWPE38RXw8/DT8LPwlPB28FrwQPAo8BLv/u/s793v0O/F77zvtu+x767vre+s763vr++y77Tvt++577vvvO+877vvue+177Dvqe+g75bviu98723vXe9M7znvJu8T7v/u6+7X7sPuse6f7o7uf+5w7mTuWe5Q7kjuQu4+7jzuPO497j/uQ+5I7k7uVe5c7mTubO517n3uhe6N7pTum+6h7qbuqu6u7rHusu6z7rTus+6y7rHuru6s7qnupu6j7qDune6b7pjulu6U7pPuku6S7pLuku6U7pXul+6Z7pvunu6h7qTup+6q7q7use607rbuue677r3uvu6/7sDuwe7B7sHuwO6/7r7uvO667rjutu607rHur+6s7qnup+6k7qHun+6d7pvume6X7pbulO6U7pPuk+6U7pTule6X7pnum+6e7qHupO6o7qzuse627rvuwe7G7s3u0+7Z7uDu5+7u7vXu/O8E7wvvE+8a7yLvKu8y7znvQe9J71HvWe9i72rvcu9674Lvi++T75vvpO+s77TvvO/E78zv0+/b7+Lv6O/v7/Xv+/AA8AXwCvAO8BLwFfAZ8BvwHvAg8CLwJPAm8CjwKvAs8C7wMPAz8DbwOPA88EDwRPBI8E3wUvBY8F7wZPBq8HHwePB/8IbwjfCU8JrwofCn8K3wsvC38LzwwfDE8Mjwy/DN8NDw0fDT8NXw1vDX8Nnw2vDc8N7w4PDi8OXw6fDt8PLw9/D98QTxDPEU8RzxJfEv8TnxRPFP8VrxZfFw8XvxhvGR8ZzxpvGw8bnxwvHK8dLx2fHg8ebx7PHx8fbx+/H/8gPyCPIM8hDyFfIZ8h7yJPIq8jHyOfJB8kryVPJf8mvyd/KE8pLyofKx8sHy0fLi8vTzBfMX8yjzOvNL81zzbfN9843znPOq87jzxfPR89zz5/Px8/r0AvQK9BH0F/Qd9CP0KPQt9DL0N/Q89EH0RvRL9FD0VvRc9GL0afRw9Hf0fvSG9I70lvSe9Kb0rvS29L70xfTN9NT02vTg9Ob06/Tv9PP09vT59Pv0/fT+9P/0//T/9P70/vT99Pz0+vT59Pf09vT19PP08vTx9PD07/Tu9O307PTr9Or06fTn9Ob05fTj9OH03/Td9Nr01/TU9NH0zfTJ9MX0wfS99Ln0tfSx9K70qvSn9KX0o/Si9KH0ofSh9KP0pfSo9Kz0sPS19Lv0wvTK9NH02vTj9O309/UC9Q31GPUj9S71OvVG9VL1XvVq9Xb1gvWO9Zr1pvWy9b/1y/XX9eT18PX99gn2FvYi9i72O/ZG9lL2XfZo9nP2ffaG9o72lvac9qL2pvaq9qz2rPas9qr2p/aj9p72l/aP9of2ffZz9mj2XfZR9kX2OvYv9iT2GfYQ9gf2APX59fX18fXv9e/18PXz9fj1/vYG9hD2G/Yn9jT2QvZR9mH2cvaC9pP2pPa09sT20/bi9vD2/PcI9xL3G/cj9yn3Lvcx9zT3Nfc09zP3MPct9yn3Jfcg9xv3FvcR9wz3B/cD9wD2/fb79vr2+/b89v73AvcG9wz3FPcc9yX3L/c790f3VPdi93D3f/eP9573rve/98/34Pfw+AD4EPgg+DD4P/hO+F34a/h4+Ib4kvif+Kr4tvjA+Mv41Pjd+Ob47vj1+Pv5AfkH+Qv5D/kS+RX5F/kY+Rj5F/kW+RT5EfkO+Qr5BfkA+Pv49fjv+On44vjb+NX4zvjI+ML4vfi4+LP4r/is+Kn4p/im+Kb4pvin+Kn4rPiw+LT4uPi++MT4yvjR+Nj43/jn+O749vj++Qb5DvkV+R35JPks+TP5O/lC+Un5UPlX+V75Zvlt+XX5fPmE+Yz5lPmd+aX5rvm3+cD5yfnS+dz55fnu+ff6APoJ+hH6Gvoh+in6L/o2+jv6QfpF+kn6TfpQ+lP6VfpX+lj6Wfpa+lv6W/pb+lz6XPpd+l36Xvpg+mH6Yvpk+mb6afpr+m76cPpz+nb6efp7+n76gPqC+oT6hfqG+ob6hvqF+oT6gvqA+n36evp2+nL6bvpp+mX6YPpb+lb6UfpN+iD6Hfob+hj6FfoT+hH6D/oN+gv6CfoI+gb6BfoE+gP6AvoB+gH6APoA+gD6APoB+gH6AvoD+gX6B/oJ+g36EPoU+hn6Hvok+ir6Mvo5+kL6S/pV+l/6avp1+oH6jfqZ+qb6svq/+sv61/ri+u36+PsC+wv7E/sb+yH7J/ss+zD7Mvs0+zX7Nfs1+zT7Mvsw+y37Kvsn+yT7Ivsf+x37HPsb+xv7HPse+yH7Jvsr+zH7OftC+0z7V/tj+3D7f/uN+537rvu++9D74fvz/AX8Fvwo/Dn8Sfxa/Gr8efyH/JX8ovyu/Ln8xPzO/Nf83/zn/O789Pz6/P/9BP0J/Q39Ef0U/Rf9G/0e/SD9I/0m/Sj9K/0t/S/9Mf0z/TT9Nv03/Tf9OP04/Tf9Nv01/TP9Mf0v/Sz9KP0k/SD9HP0X/RL9Df0H/QL8/Pz3/PL87Pzn/OL83vza/Nb80vzQ/M38y/zJ/Mj8yPzI/Mj8yfzK/Mv8zfzP/NL81PzX/Nr83fzh/OT85/zr/O788fz1/Pj8+/z+/QL9Bf0I/Qv9Dv0R/RT9GP0b/R79If0k/Sf9Kv0t/TD9M/02/Tn9O/0+/UD9Qv1E/UX9Rv1H/Uj9SP1I/Uf9R/1G/UX9Q/1B/UD9Pv08/Tr9OP02/TT9M/0y/TH9MP0w/TD9MP0x/TL9NP02/Tn9PP0//UP9R/1L/U/9U/1X/Vv9Xv1i/WX9aP1q/Wz9bf1u/W79bf1s/Wn9Z/1j/V/9Wv1U/U39Rv0//Tb9Lv0l/Rv9Ef0H/P388/zo/N380/zI/L38s/yo/J38k/yI/H78dPxp/F/8VfxL/ED8Nvws/CL8F/wN/AP7+Pvu++P72PvO+8P7uPut+6L7l/uM+4H7d/ts+2H7VvtL+0H7Nvsr+yH7FvsL+wH69vrr+uD61frK+r/6s/qo+pz6j/qD+nb6avpc+k/6Qvo0+ib6GPoJ+fv57Pne+c/5wfmy+aT5lvmI+Xr5bflf+VL5Rfk5+Sz5IPkU+Qn4/vjy+Of43PjS+Mf4vPix+Kb4nPiR+Ib4evhv+GP4WPhM+ED4M/gn+Bv4DvgB9/X36Pfc98/3w/e396v3n/eT94j3ffdy92j3XvdU90r3Qfc39y73Jfcc9xP3CvcB9vj27vbk9tr20PbF9rn2rfah9pT2hvZ49mn2WvZL9jv2KvYZ9gj19vXl9dP1wPWu9Zz1ivV39WX1U/VB9TD1HvUN9Pz06/Ta9Mr0ufSp9Jn0ifR59Gn0WfRI9Dj0KPQY9Afz9vPl89Tzw/Oy86Dzj/N982vzWfNH8zXzI/MS8wDy7/Le8s3yvfKt8p3yjvKA8nLyZPJX8kvyP/I08inyH/IW8gzyBPH88fTx7fHm8eDx2vHU8c/xyvHF8cDxvPG48bTxsPGs8anxpfGi8Z/xnPGZ8ZbxlPGR8Y/xjfGK8YjxhvGE8YLxgPF+8XzxevF48XbxdPFy8XDxbvFr8WnxZ/Fk8WLxX/Fc8VrxV/FU8VHxTvFL8UjxRfFD8UDxPfE78TjxNvE08TLxMPEv8S7xLfEs8SzxLPEs8S3xLvEv8TDxMvE08TbxOfE78T7xQvFF8UjxTPFP8VPxV/Fa8V7xYvFl8WnxbPFw8XPxd/F68X3xgfGE8Yjxi/GP8ZPxmPGd8aLxqPGu8bXxvfHF8c7x2PHj8e/x/PIJ8hjyJ/I38kjyWfJr8n3yj/Kh8rTyxfLX8ufy9/MF8xLzHfMm8y7zM/M18zXzMvMs8yPzF/MI8vby4vLK8q/ykvJz8lHyLfII8eHxuvGR8WnxQPEY8PHwyvCm8IPwYvBD8CfwDe/37+Pv0u/F77rvs++u76zvrO+v77Pvue/B78rv0+/d7+bv7+/47//wBvAK8A3wDvAM8AnwAu/67+/v4u/S78DvrO+W73/vZu9M7zLvF+777uDuxu6s7pPue+5l7lHuPu4u7iDuFO4L7gTt/+397fzt/u4C7gjuD+4Y7iLuLe457kbuUu5f7mzuee6F7pHunO6m7q/uuO6/7sXuyu7O7tHu0+7T7tTu0+7S7tDuzu7L7sjuxu7D7sDuvu677rruuO637rfut+647rnuuu697r/uw+7G7sruzu7T7tfu3O7g7uXu6e7t7vHu9O737vnu++787v3u/e787vvu+u737vTu8e7s7uju4+7d7tju0u7M7sXuv+647rLurO6m7qHum+6W7pLuju6L7ojuhu6F7oTuhO6F7ofuie6N7pHule6b7qHup+6v7rfuv+7I7tLu3O7m7vHu/O8I7xPvH+8r7zfvQ+9P71vvZ+9z73/vi++W76Lvre+478LvzO/W7+Dv6e/y7/rwAvAJ8BHwF/Ad8CPwKfAu8DLwN/A78D7wQvBF8EjwSvBN8FDwUvBV8FjwWvBd8GDwZPBn8Gvwb/B08HjwffCD8IjwjvCU8JrwoPCm8Kzws/C58L7wxPDK8M/w0/DY8Nzw3/Di8OXw5/Do8Onw6vDq8Orw6fDp8Ojw5/Dm8OXw5PDj8OPw4/Dk8OXw5vDp8Ovw7/Dz8Pnw/vEF8QzxFPEd8SbxMPE68UXxUPFb8WfxcvF+8YnxlfGg8avxtvHA8crx0/Hc8eTx7PH08fvyAvII8g7yFPIa8iDyJfIr8jHyN/I98kPySvJR8lnyYfJq8nPyffKH8pLynfKp8rXywfLO8tvy6fL28wTzEfMf8yzzOvNH81TzYfNt83nzhfOQ85vzpvOw87rzxPPO89fz4fPq8/Pz/fQG9A/0GfQj9C30N/RB9Ez0V/Rj9G70evSG9JL0nvSq9Lb0wvTO9Nn05PTv9Pr1A/UN9RX1HfUk9Sv1MPU19Tn1PPU/9UD1QfVB9UD1P/U99Tv1OPU19TH1LfUp9ST1IPUb9Rf1EvUN9Qj1A/T/9Pr09fTw9Oz05/Ti9N302PTT9M70yfTD9L70uPSy9Kz0pvSg9Jr0lPSN9If0gfR79Hb0cPRr9Gf0YvRf9Fz0WfRX9Fb0VfRW9Fb0WPRa9F30YfRm9Gv0cfR39H70hvSO9Jf0oPSq9LT0vvTJ9NT04PTs9Pj1BfUS9SD1LvU89Uv1WvVq9Xr1ivWb9az1vvXP9eH18/YF9hf2KfY79kz2XfZu9n32jPaa9qf2s/a99sf2zvbU9tn22/bc9tv22fbU9s72x/a99rL2pvaZ9ov2e/Zr9lv2SvY49if2FvYG9fb15/XZ9cz1wfW29a71pvWh9Z31m/Wa9Zz1nvWj9aj1sPW49cH1zPXX9eP17/X79gj2FPYh9i32OPZD9k32V/Zf9mb2bfZy9nf2evZ99n/2f/Z/9n/2fvZ89nr2ePZ39nX2c/Zy9nH2cfZy9nT2dvZ69n/2hfaN9pX2n/aq9rf2xfbU9uT29fcI9xv3L/dF91r3cPeH9573tffM9+P3+vgQ+Cb4PPhR+GX4ePiK+Jv4q/i6+Mf40/je+Oj48Pj3+Pz5APkD+QT5BPkD+QD4/fj4+PP47fjm+N741vjN+MT4u/iy+Kj4n/iW+I34hPh8+HX4bvho+GL4Xvha+Ff4VfhT+FP4U/hU+Fb4Wfhc+GD4ZPhp+G/4dPh7+IH4h/iO+JX4nPij+Kr4sPi3+L74xPjL+NH41/je+OT46vjx+Pf4/vkE+Qv5E/ka+SL5Kvky+Tv5RPlN+Vb5YPlq+XT5f/mJ+ZT5nvmo+bL5vfnG+dD52fni+er58fn5+f/6BfoL+hD6FPoY+hv6Hvog+iL6I/ok+iX6Jfom+ib6Jvom+if6J/on+ij6KPop+ir6K/os+i36L/ow+jL6M/o1+jf6OPo6+jv6PPo9+j76Pvo++j76Pvo9+jz6Ovo5+jf6Nfoz+jD6Lvor+ij6Jvoj+gz6C/oL+gr6CfoI+gf6BfoE+gH5//n9+fr59/n0+fD57fnq+eb54/ng+d352vnX+dX50/nS+dH50fnR+dP51PnX+dv53/nk+ev58vn6+gP6DfoX+iL6Lvo7+kj6Vvpj+nH6f/qO+pv6qfq3+sP60Prb+ub68Pr5+wH7CPsO+xP7F/sa+xz7HPsc+xz7GvsY+xX7EvsO+wv7B/sD+wD6/fr6+vj69/r2+vf6+Pr6+v37AvsH+w77Ffse+yj7M/s++0v7WPtm+3T7g/uS+6H7sfvA+8/73/vu+/z8C/wZ/Cb8M/w//Er8Vfxf/Gn8cvx6/IL8ifyP/JX8m/yg/KX8qvyu/LP8t/y6/L78wvzF/Mj8zPzP/NL81fzY/Nr83fzf/OH84/zl/Ob85/zn/Of85/zn/OX85Pzi/OD83fza/Nf80/zP/Mv8xvzC/L38ufy0/K/8q/ym/KL8nvya/Jf8lPyR/I/8jfyL/Ir8ifyJ/In8ivyL/Iz8jfyP/JH8lPyW/Jn8nPyf/KP8pvyp/K38sPy0/Lf8uvy+/MH8xPzH/Mr8zfzQ/NP81fzY/Nr83Pze/OD84fzj/OT85fzm/Of85/zo/Oj86Pzo/Oj85/zn/Ob85fzl/OT84/zi/OH84Pzf/N783fzc/Nz82/zb/Nv82/zc/Nz83fze/OD84fzj/OX85/zp/Ov87vzw/PP89fz3/Pr8/Pz9/P/9AP0B/QL9Av0C/QL9APz//P38+vz4/PT88Pzs/Of84vzc/Nb8z/zI/MH8ufyx/Kn8ofyY/I/8hvx9/HP8avxg/Fb8TPxC/Dj8Lvwj/Bn8DvwE+/n77vvj+9j7zfvC+7f7rPuh+5b7jPuA+3b7a/tg+1X7SvtA+zX7K/sh+xb7DPsC+vj67frj+tn6z/rF+rr6sPql+pv6kPqF+nn6bvpi+lb6Svo9+jD6I/oW+gj5+/nt+d/50PnC+bP5pfmW+Yj5evlr+V35T/lB+TT5JvkZ+Qz5APjz+Oj43PjQ+MX4uviw+KX4m/iR+If4ffhz+Gn4X/hV+Ev4Qfg3+C34I/gZ+A74BPf59+735PfZ9873w/e49633oveY9433g/d49273ZPda91D3R/c+9zT3K/ci9xr3EfcI9v/29vbt9uT22/bR9sf2vfaz9qj2nfaR9oX2efZs9l/2UfZD9jT2JfYV9gX19fXl9dT1w/Wy9aH1j/V+9Wz1W/VJ9Tj1JvUV9QT08vTh9ND0wPSv9J70jvR99G30XPRM9Dz0LPQc9Avz+/Pr89vzyvO686rzmfOJ83nzaPNY80jzOPMo8xjzCfL58ury2/LM8r7yr/Ki8pTyh/J68m7yYvJW8kvyQPI28izyIvIZ8hDyCPH/8fjx8fHq8ePx3fHX8dHxzPHH8cPxv/G78bfxtPGx8a7xq/Gp8afxpfGk8aLxofGg8Z/xnvGd8Z3xnPGb8ZvxmvGZ8Zjxl/GW8ZTxk/GR8Y/xjfGL8YjxhfGC8X/xfPF48XXxcfFt8WrxZvFj8WDxXfFa8VfxVfFT8VHxUPFQ8U/xT/FQ8VHxUvFU8VbxWfFc8V/xYvFm8WrxbvFx8XXxefF88X/xgvGF8YfxifGK8YvxjPGM8YvxivGJ8YfxhfGD8YDxfvF78Xnxd/F28XXxdPF18XbxePF88YDxh/GO8ZfxofGt8brxyfHZ8evx/vIS8ifyPfJT8mrygfKY8q/yxfLb8u/zAvMU8yPzMPM780PzSfNL80rzRvM/8zTzJvMV8wDy6fLO8rHykfJv8kvyJfH+8dbxrvGF8VzxNPEO8OjwxPCi8IPwZvBM8DTwIfAQ8ALv+e/y7+7v7u/w7/bv/vAI8BTwIfAw8D/wT/Bf8G/wffCL8Jjwo/Cr8LLwtvC38LbwsvCr8KHwlPCE8HHwXfBF8CzwEe/079bvuO+Z73nvWu877x3vAO7k7srusu6c7ojudu5n7lvuUe5K7kXuQ+5D7kXuSe5Q7ljuYe5s7njuhe6S7qDure677sju1e7h7uzu9+8A7wjvD+8V7xnvHe8f7yDvIO8f7x3vGu8X7xTvD+8L7wfvA+7+7vvu9+707vLu8O7v7u7u7+7w7vLu9O747vzvAO8F7wrvEO8W7x3vI+8p7y/vNe867z/vQ+9H70rvTO9N703vTe9L70nvRe9B7zzvNu8v7yfvH+8W7w3vA+767u/u5e7b7tHuyO6/7rburu6m7qDumu6V7pHuju6N7ozujO6O7pDulO6Z7p/upu6u7rbuwO7L7tbu4u7v7vzvCe8X7yXvM+9C71DvX+9t73zviu+X76Xvsu+/78vv1+/i7+3v9/AB8ArwEvAb8CLwKvAw8DfwPfBC8EjwTfBR8FbwWvBe8GLwZvBq8G7wcvB28Hrwf/CD8IjwjPCR8JbwnPCh8KfwrPCy8LjwvvDE8Mrw0PDW8Nzw4fDn8Ozw8fD18Pnw/fEA8QLxBfEH8QjxCfEJ8QnxCfEI8QfxBfEE8QLxAPD/8P3w+/D68Pnw+fD48Pnw+fD78P3xAPED8QjxDfET8RnxIfEp8THxO/FE8U/xWfFk8XDxe/GH8ZPxnvGq8bXxwPHL8dXx3/Ho8fHx+fIB8gjyD/IV8hvyIPIl8iryLvIy8jbyOvI+8kLyRvJK8k/yVPJZ8l/yZvJs8nTyfPKE8o7yl/Kh8qzyt/LD8s/y2/Lo8vXzAvMQ8x3zK/M480XzU/Ng823zevOG85Pzn/Or87fzwvPO89nz5PPv8/r0BfQQ9Bv0JvQy9D30SPRU9GD0bPR49IX0kfSe9Kr0t/TE9ND03fTp9Pb1AfUN9Rj1I/Ut9Tf1P/VI9U/1VvVc9WH1ZfVo9Wv1bPVt9W31bPVq9Wj1ZfVh9Vz1V/VR9Uv1RPU99Tb1LvUm9R31FfUM9QP0+vTx9Oj03/TW9M30xPS79LL0qvSh9Jn0kfSJ9IH0efRy9Gv0ZfRf9Fn0VPRP9Er0R/RD9ED0PvQ89Dv0OvQ69Dv0PPQ+9ED0Q/RG9Er0TvRS9Fj0XfRj9Gn0cPR39H70hfSN9JX0nvSn9LD0uvTE9M702fTl9PH0/fUK9Rj1JvU19UX1VfVm9Xj1ivWc9bD1w/XX9ev2APYU9ij2PPZQ9mT2dvaI9pn2qfa49sX20fbb9uP26vbu9vH28vbx9u326Pbh9tf2zPa/9rH2ofaQ9n72avZW9kL2LfYY9gT18PXc9cn1t/Wm9Zb1iPV89XH1aPVh9Vv1WPVW9Vf1WfVc9WL1aPVx9Xr1hPWQ9Zz1qPW19cL1z/Xc9en19fYA9gv2FfYe9ib2LfYz9jj2PPY/9kH2QvZC9kL2QfZA9j/2PfY89jv2OvY69jr2O/Y99kH2RfZL9lL2W/Zl9nH2f/aO9p72sfbE9tn28PcH9yD3OfdU9273ivel98H33ff4+BL4LfhG+F74dfiL+KD4s/jE+NT44fjt+Pf4//kF+Qr5DPkN+Qv5CfkE+P749/jv+OX42/jQ+MT4uPis+J/4k/iG+Hr4b/hk+Fn4UPhH+D/4Ofgz+C74K/gp+Cf4J/go+Cr4LPgw+DT4Ofg/+EX4S/hS+Fr4Yfho+HD4d/h++Ib4jPiT+Jn4n/il+Kv4sPi1+Ln4vvjC+Mb4yvjP+NP41/jc+OD45vjr+PD49/j9+QT5C/kT+Rz5JPkt+Tf5QflL+VX5YPlq+XX5gPmK+ZX5n/mp+bP5vPnF+c351fnc+eP56Pnu+fP59/n6+f35//oB+gL6A/oE+gT6A/oD+gL6AfoA+f/5/fn8+fv5+vn5+fj59/n2+fb59vn2+fb59vn2+ff5+Pn5+fr5+/n8+f35//oA+gH6A/oE+gX6BvoI+gn6CfoK+gv6C/oM+gD6AvoE+gX6B/oH+gf6B/oG+gT6AvoA+f35+vn2+fL57vnp+eX54Pnb+df50vnO+cr5xvnD+cD5vvm9+b35vfm++cD5w/nH+cz50vnY+eD56fnz+f36CPoU+iD6Lfo6+kf6Vfpi+nD6ffqK+pf6o/qv+rr6xPrO+tb63vrl+ur67/rz+vX69/r4+vj6+Pr3+vX68/rw+u366vrn+uT64fre+tz62vrZ+tn62fra+tz63vri+uf67Pry+vr7AvsL+xT7H/sq+zX7QftO+1r7Z/t1+4L7j/uc+6n7tvvC+8/72vvl+/D7+/wF/A78F/wf/Cf8L/w2/Dz8Q/xI/E78U/xZ/F38Yvxn/Gv8b/x0/Hj8fPyA/IT8iPyL/I/8k/yW/Jn8nPyf/KL8pPym/Kj8qfyq/Kr8qvyq/Kn8qPyn/KX8ovyf/Jz8mfyV/JH8jfyJ/IT8gPx7/Hb8cvxt/Gn8ZPxg/Fz8WfxW/FP8UPxO/Ez8SvxJ/En8SPxI/Ej8SfxK/Ez8TfxP/FH8U/xV/Fj8Wvxd/GD8Y/xl/Gj8a/xt/HD8cvx0/Hb8ePx6/Hv8ffx+/H/8f/yA/ID8gPyA/ID8gPx//H/8fvx9/Hz8e/x6/Hn8d/x2/HX8dPxy/HH8cPxv/G78bvxt/Gz8bPxs/Gz8bPxs/Gz8bfxt/G78b/xw/HH8cvxz/HT8dfx2/Hf8ePx5/Hn8evx6/Hr8evx6/Hr8efx4/Hf8dfxz/HH8bvxs/Gj8Zfxh/F38WPxT/E78SPxC/Dz8Nfwv/Cf8IPwY/BH8CPwA+/f77vvl+9z70/vJ+7/7tfur+6H7lvuM+4H7d/ts+2L7V/tM+0H7N/ss+yH7F/sM+wL6+Pru+uP62frP+sX6vPqy+qj6n/qV+oz6gvp5+m/6Zvpc+lL6SPo++jT6Kvof+hX6Cfn++fP55/nb+c/5wvm2+an5nPmP+YL5dPln+Vn5TPk++TH5I/kW+Qn4/Pjv+OL41vjK+L74svin+Jz4kfiG+Hz4cvho+F/4VfhM+EP4Ofgx+Cj4H/gW+A34BPf79/L36ffg99b3zffE97r3sPen9533k/eJ93/3dfdr92H3V/dN90P3Ofcw9yb3HfcT9wr3APb39u725fbb9tL2yfbA9rf2rfak9pr2kPaG9nz2cfZm9lv2T/ZE9jf2K/Ye9hH2A/X29ef12fXK9bv1rPWc9Y31ffVs9Vz1TPU79Sv1GvUK9Pn06fTY9Mj0t/Sn9Jf0h/R39Gf0V/RI9Dj0KfQa9Avz/PPt897z0PPB87PzpfOX84nze/Nt81/zUvNE8zfzKvMd8xDzBPL38uvy3/LT8sfyvPKx8qXym/KQ8obyfPJy8mjyX/JW8k3yRPI88jTyLfIm8h/yGPIS8gzyB/IC8f3x+fH08fHx7fHq8ejx5fHj8eHx4PHf8d3x3fHc8dvx2vHa8dnx2PHY8dfx1vHV8dTx0/HR8c/xzfHL8cnxxvHD8b/xvPG48bXxsfGt8anxpfGh8Z3xmfGV8ZLxj/GM8Ynxh/GG8YTxhPGD8YTxhPGG8YfxifGM8Y/xkvGW8ZrxnfGi8abxqfGt8bHxtPG38brxvPG+8b/xv/G/8b7xvfG78bjxtfGx8a3xqPGj8Z7xmfGU8Y/xivGG8YLxf/F98Xvxe/F78X3xgfGF8Yvxk/Gc8abxsvG/8c3x3fHt8f/yEfIj8jfySvJd8nDygvKT8qPysvLA8svy1fLd8uLy5vLm8uTy3/LX8s3ywPKx8p/yivJ08lvyQfIl8gjx6vHM8a3xjvFw8VLxNvEa8QDw6fDT8L/wrvCg8JXwjPCH8ITwhfCI8I7wlvCh8K7wvfDO8N/w8vEG8RrxLvFB8VTxZvF28YXxkvGd8aXxq/Gu8a7xq/Gm8Z3xkvGE8XPxX/FJ8TLxGPD88ODwwvCj8ITwZfBH8CjwC+/u79Pvuu+i74zvee9n71jvS+9A7zjvMu8v7y3vLu8w7zTvOu9B70nvUu9b72XvcO9674Tvju+X76DvqO+v77Tvue+977/vwO/A77/vve+577XvsO+q76Tvne+V747vh+9/73jvce9q72TvX+9a71fvVO9R71DvUO9Q71HvU+9W71rvXu9i72fvbO9y73fvfO+B74bvi++P75Lvle+X75jvmO+X75Xvk++P74vvhu+A73nvce9o71/vVu9M70LvOO8u7yPvGu8Q7wfu/u727u7u6O7i7t3u2u7X7tbu1e7W7tju2+7f7uTu6u7y7vrvA+8N7xfvI+8u7zrvR+9U72Hvbu9874nvlu+j77DvvO/I79Tv3+/q7/Tv/vAI8BHwGfAh8CnwMPA38D3wRPBK8FDwVfBb8GDwZvBr8HDwdvB78IHwh/CN8JPwmfCg8KbwrfC08LvwwvDJ8NHw2PDf8Obw7fD08PrxAPEG8QzxEfEW8RrxHvEi8STxJ/Eo8SrxK/Er8SvxKvEp8SjxJvEl8SPxIfEf8R3xG/Ea8RjxGPEX8RfxGPEa8RzxH/Ei8SfxLPEy8TnxQfFK8VTxXvFp8XTxgPGN8Zrxp/G08cLxz/Hc8erx9vID8g/yGvIl8i/yOPJB8kjyT/JV8lryXvJi8mTyZvJn8mjyaPJn8mbyZfJk8mPyYvJh8mDyYPJg8mDyYvJk8mfya/Jv8nXyfPKD8ozylfKf8qvyt/LE8tHy3/Lu8v7zDfMd8y7zPvNP81/zcPOA85DzoPOw87/zzfPc8+nz9vQD9A/0G/Qn9DH0PPRG9FD0WvRj9Gz0dfR+9If0kPSZ9KL0q/S19L70x/TR9Nv05fTv9Pn1A/UN9Rf1IfUr9TT1PvVH9VD1WPVg9Wf1bvV09Xr1f/WD9Yb1ifWK9Yv1i/WK9Yj1hvWC9X71ePVy9Wv1ZPVb9VP1SfU/9TT1KfUe9RL1B/T79O/04vTW9Mr0v/Sz9Kj0nfST9In0gPR39G/0Z/Rh9Fv0VvRR9E70S/RJ9Ej0R/RI9En0SvRN9FD0VPRY9F30YvRo9G70dPR79IL0ifSQ9Jj0n/Sn9K/0t/S/9Mf0z/TY9OH06fTz9Pz1BvUQ9Rr1JvUx9T31SvVX9WX1c/WD9ZL1o/W09cX11/Xq9f32EPYj9jb2SfZd9m/2gfaT9qT2tPbD9tH23fbo9vL2+vcA9wT3B/cH9wb3A/b+9vf27vbk9tj2yva89qz2m/aJ9nb2ZPZQ9j32KvYX9gX19PXj9dT1xfW49a31o/Wb9ZT1j/WM9Yv1i/WN9ZH1lvWc9aT1rfW29cH1zPXX9eP17/X69gb2EfYb9iX2LvY29j32RPZI9k32T/ZR9lL2UvZR9k/2TfZJ9kb2QvY/9jv2OPY19jP2MfYx9jH2M/Y39jv2QvZK9lT2YPZt9n32jvag9rX2y/bj9vz3Fvcy9073a/eI96b3xPfi9//4HPg4+FT4bviH+J74tPjI+Nr46vj5+QX5D/kX+R35Ifki+SL5IPkc+Rf5EPkI+P749Pjp+N340PjE+Lf4qvid+JH4hfh6+HD4Z/he+Ff4UfhM+Ej4RfhE+ET4RPhH+Er4TvhT+Fj4X/hm+G34dfh++Ib4j/iX+KD4qPiw+Lf4v/jG+Mz40vjX+Nz44fjl+Oj46/ju+PH48/j1+Pf4+fj7+P34//kC+QT5CPkL+Q/5E/kY+R35I/kq+TD5OPk/+Uj5UPlZ+WL5a/l1+X75h/mR+Zr5o/ms+bT5vPnE+cv50vnY+d354vnm+en57Pnu+fD58fnx+fH58Pnv+e356/np+ef55Pnh+d/53PnZ+db50/nR+c/5zfnL+cr5yfnJ+cj5yfnJ+cr5zPnO+dD50vnV+dj52/nf+eL55vnp+e358fn0+ff5+/n9+fP59vn4+fr5/Pn9+f75/vn9+fz5+/n5+ff59Pnx+e356fnl+eD53PnX+dL5zvnJ+cX5wfm++br5uPm2+bX5tPm0+bX5t/m5+b35wfnG+cz50/na+eP56/n1+f76CfoU+h76Kvo1+kD6S/pW+mH6a/p1+n76h/qP+pf6nvqk+qn6rvqy+rX6t/q4+rn6uvq6+rn6uPq3+rX6s/qx+q/6rfqs+qv6qvqp+qn6qfqq+qz6rvqx+rX6ufq++sT6yvrS+tn64vrr+vT6/vsI+xL7Hfso+zP7PvtJ+1T7X/tq+3T7f/uJ+5L7nPul+677tvu++8X7zPvT+9r74Pvm++z78vv3+/z8AfwG/Av8EPwU/Bn8Hvwi/Cf8K/wv/DT8OPw8/ED8RPxI/Ez8T/xT/Fb8WPxb/F38X/xg/GH8Yvxi/GL8Yvxh/GD8Xvxc/Fn8V/xU/FD8TfxJ/EX8Qfw9/Dn8Nfww/Cz8KPwk/CD8HfwZ/Bb8E/wQ/A78C/wJ/Aj8BvwF/AT8BPwE/AP8BPwE/AX8BfwG/Af8CPwJ/Ar8C/wN/A78D/wQ/BH8EvwT/BP8FPwU/BX8FfwV/BX8FPwU/BP8E/wS/BH8EPwP/A78DPwL/Ar8CPwH/AX8BPwC/AH8APv++/37/Pv7+/r7+fv4+/f79vv1+/X79Pvz+/P78vvx+/H78Pvw++/77/vu++377Pvs++v76fvo++f75fvk++L74Pve+9v72fvW+9P70PvM+8j7xfvA+7z7t/uz+637qPui+537lvuQ+4r7g/t8+3T7bftl+137VftN+0T7O/sy+yn7IPsX+w37A/r6+vD65vrc+tL6yPq++rT6qvqg+pb6jPqC+nj6bvpl+lv6UvpI+j/6Nvos+iP6GvoR+gf5/vn1+ez54vnZ+dD5xvm8+bL5qfmf+ZT5ivl/+XX5avlf+VP5SPk9+TH5JfkZ+Q75Avj2+Or43vjS+Mb4uviv+KP4mPiN+IL4d/hs+GL4WPhO+ET4O/gx+Cj4H/gW+A74Bff99/X37Pfk99z31PfM98T3u/ez96v3ovea95H3iPd/93b3bfdj91r3UPdH9z33M/cp9x/3FfcL9wH29/bt9uP22fbP9sX2u/ax9qj2nvaU9or2gfZ39m32Y/Za9lD2RvY89jL2KPYd9hP2CPX99fL15/Xb9c/1w/W39av1nvWR9YT1dvVp9Vv1TfU/9TD1IvUT9QX09vTn9Nj0yfS69Kv0nPSN9H70cPRh9FL0RPQ29Cj0GvQM8/7z8fPk89fzyvO987HzpPOY84zzgPN182nzXvNT80jzPfMz8yjzHvMU8wrzAPL28u3y4/La8tHyyPK/8rbyrvKm8p7ylvKO8ofygPJ58nLybPJm8mDyWvJV8lDyTPJH8kPyQPI88jnyNvI08jHyL/Iu8izyKvIp8ijyJ/Im8iXyI/Ii8iHyIPIf8h3yHPIa8hjyFfIT8hDyDfIJ8gbyAvH+8frx9fHx8ezx5/Hi8d3x2PHU8c/xy/HG8cLxv/G78bnxtvG08bLxsfGw8bDxsPGx8bLxtPG18bjxuvG98cDxw/HG8cnxzPHP8dHx1PHW8djx2fHZ8dnx2fHY8dbx1PHR8c7xyvHF8cDxu/G18a/xqfGj8Z3xl/GR8YvxhvGB8X3xevF38XXxdPF18XbxePF78X/xhPGK8ZHxmfGi8avxtfG/8cnx1PHf8enx9PH+8gfyD/IX8h7yI/In8iryLPIs8iryJ/Ij8hzyFfIM8gLx9/Hq8d3xz/HB8bLxo/GU8YXxd/Fp8V3xUfFH8T7xN/Ey8S7xLPEt8S/xNPE68ULxTfFZ8Wfxd/GI8ZrxrfHB8dXx6fH+8hLyJvI58kvyXPJr8njyhPKO8pXymvKc8p3ymvKV8o7yhPJ48mryWfJH8jPyHfIG8e/x1vG88aLxifFv8VbxPfEl8Q7w+PDk8NHwwPCw8KLwlvCM8ITwfvB58HbwdPB08HbwePB78IDwhfCK8JDwlvCb8KHwpvCr8K/wsvC18LbwtvC28LTwsfCt8KjwofCa8JLwifB/8HXwavBe8FLwRvA68C7wI/AX8AzwAu/47+7v5u/e79fv0O/L78bvw+/A773vvO+777vvu++8773vvu+/78Hvwu/D78Tvxe/G78bvxe/E78Pvwe++77vvt++z767vqe+j753vlu+Q74nvgu9773Tvbu9n72HvW+9W71HvTu9K70fvRu9F70TvRe9G70nvTO9Q71TvWe9g72bvbu91737vh++Q75nvo++s77bvwO/K79Tv3e/n7/Dv+fAC8ArwEvAb8CLwKvAx8DjwP/BG8EzwU/BZ8F/wZvBs8HPwefCA8IfwjvCV8J3wpfCt8LXwvvDG8M/w2PDh8Orw8/D88QXxDvEW8R7xJ/Eu8TXxPPFC8UjxTfFR8VXxWPFa8VzxXfFd8V3xXPFb8VnxVvFT8VDxTfFJ8UbxQvE/8TzxOfE38TXxNPE08TXxNvE48TzxQPFG8UzxVPFd8WfxcvF+8YvxmPGn8bfxx/HY8enx+vIM8h3yL/JA8lHyYfJx8oDyjvKb8qfysvK88sXyzPLS8tfy2vLc8t3y3PLa8tfy1PLP8snyxPK98rbyr/Ko8qHymvKU8o7yifKE8oHyfvJ98n3yfvKA8oXyivKR8pnyovKt8rnyx/LW8uXy9vMI8xrzLfNB81TzaPN985HzpfO588zz3/Py9AT0FfQl9DX0Q/RR9F70avR19H/0ifSR9Jn0oPSm9Kz0svS39Lv0wPTE9Mj0zfTR9Nb02vTf9OX06vTx9Pf0/vUG9Q71FvUf9Sj1MfU79UX1TvVZ9WP1bPV29YD1ifWR9Zn1ofWo9a71s/W49bv1vvW/9cD1v/W99br1tvWx9av1pPWc9ZP1iPV+9XL1ZvVZ9Uz1PvUw9SL1FPUG9Pj06vTc9M/0wvS29Kv0oPSW9Iz0hPR99Hb0cfRs9Gn0ZvRl9GT0ZPRm9Gj0a/Rv9HP0ePR+9IX0jPST9Jv0o/Ss9LX0vvTI9NH02/Tl9PD0+vUF9RD1G/Um9TL1PvVK9Vf1ZPVx9X/1jfWc9av1uvXK9dr16/X89g72H/Yy9kT2VvZo9nr2jfae9rD2wfbR9uH27/b99wr3Fvcg9yn3Mfc39zz3P/dA90D3Pvc79zb3MPco9x/3FfcJ9v327/bh9tL2w/a09qT2lfaF9nb2aPZa9k32QfY29iz2I/Yc9hb2EfYN9gv2CvYL9gz2D/YS9hf2HPYj9in2MPY39j72RvZN9lP2WvZf9mT2afZs9m72cPZw9nD2b/Zs9mn2ZfZf9lr2VPZN9kb2P/Y39jH2KvYk9h72GvYW9hT2E/YU9hb2GvYf9if2MPY89kn2WPZq9n32kvap9sH22/b29xP3MPdP9273jfes98z36/gK+Cn4Rvhj+H74mPix+Mf43fjw+QH5Efke+Sn5Mvk6+T/5Q/lE+UT5Qvk/+Tr5NPkt+SX5HfkU+Qr5APj2+Oz44/jZ+NH4yfjB+Lr4tfiw+Kz4qfin+Kb4p/io+Kr4rfix+LX4u/jB+Mf4zvjV+N345Pjs+PP4+/kC+Qn5EPkW+Rz5Ifkm+Sr5Lvky+TX5N/k5+Tv5PPk9+T35Pvk++T/5P/lA+UD5QflC+UP5RflG+Un5TPlP+VP5V/lb+WD5Zflr+XH5ePl++YX5jPmT+Zr5ofmo+a/5tvm8+cL5yPnN+dL51vna+d354Pni+eT55fnl+eX55fnk+eP54fnf+dz52fnX+dP50PnN+cr5x/nE+cL5v/m9+bv5uvm5+bj5uPm4+bn5uvm7+b35wPnC+cb5yfnM+dD51PnY+dz54Pnk+ej57Pnw+ej56fnr+ez57fnu+e757vnt+ez56/np+ef55Pni+d/52/nY+dX50fnN+cr5xvnD+cD5vfm6+bj5tvm1+bT5s/mz+bT5tfm3+br5vfnB+cX5yvnP+dX53Pnj+er58fn5+gH6CfoR+hn6Ifoo+jD6N/o++kX6S/pR+lb6W/pf+mP6Zvpp+mv6bfpu+m/6cPpw+m/6b/pu+m36bPpr+mr6afpo+mj6aPpo+mj6afpq+mz6bvpx+nT6ePp9+oL6h/qN+pT6m/qi+qr6svq6+sP6zPrV+t766Prx+vv7BPsN+xb7H/so+zH7OftB+0n7UPtY+1/7Zfts+3L7ePt++4T7ifuO+5P7mPud+6L7p/ur+7D7tPu5+737wvvH+8v7z/vU+9j73fvh++X76fvt+/H79fv4+/z7//wB/AT8BvwI/Ar8C/wM/A38DfwN/A38DPwL/Ar8CPwG/AT8Avv/+/z7+fv2+/P77/vs++j75Pvh+9372fvW+9L7z/vM+8n7xvvD+8D7vvu7+7n7t/u2+7T7svux+7D7rvuu+637rPur+6r7qvup+6n7qPuo+6f7p/um+6b7pfuk+6T7o/ui+6H7ofug+5/7nvud+5z7m/uZ+5j7l/uW+5X7k/uS+5H7j/uO+437i/uK+4j7h/uG+4T7g/uB+4D7f/t9+3z7evt4+3f7dftz+3L7cPtu+2z7avto+2b7Y/th+1/7XPtZ+1b7VPtR+037SvtG+0P7P/s7+zf7M/su+yr7Jfsg+xv7FvsQ+wv7Bfr/+vj68vrr+uT63frW+s76x/q/+rf6r/qm+p76lfqM+oP6evpx+mj6X/pV+kz6Qvo5+i/6Jvoc+hL6Cfn/+fX57Pni+dj5z/nF+bz5svmp+Z/5lvmN+YP5evlw+Wf5XvlU+Uv5Qfk3+S35JPka+RD5Bvj8+PL46Pje+NP4yfi++LT4qvif+JX4i/iA+Hb4bPhi+Fj4TvhE+Dr4Mfgn+B74FfgM+AP3+/fy9+r34vfa99L3y/fD97v3tPet96X3nveX94/3iPeB93n3cvdq92L3WvdS90r3Qvc59zH3KPcf9xb3DfcE9vr28fbn9t320/bJ9r/2tfar9qH2l/aN9oP2ePZu9mT2WvZQ9kb2PPYy9ij2HvYU9gr2AfX39e314/XZ9c/1xPW69bD1pfWb9ZD1hfV69W/1Y/VY9Uz1QPU09Sj1HPUP9QP09vTp9Nz0z/TC9LT0p/Sa9Iz0f/Rx9GT0V/RJ9Dz0L/Qi9BX0CPP88+/z4/PX88vzv/Oz86jznPOR84fzfPNx82fzXfNT80rzQPM38y7zJfMc8xTzC/MD8vvy8/Ls8uTy3fLW8s/yyfLC8rzytvKw8qrypfKg8pvylvKS8o3yifKG8oLyf/J88nnydvJ08nHyb/Ju8mzyavJp8mfyZvJk8mPyYfJg8l/yXfJb8lryWPJV8lPyUfJO8kvyR/JE8kDyPPI48jTyL/Iq8iXyIPIb8hbyEPIL8gbyAPH78fbx8fHt8ejx5PHg8d3x2fHW8dTx0vHQ8c/xzvHO8c7xzvHO8c/x0PHR8dPx1PHV8dfx2PHa8dvx3PHd8d3x3fHd8dzx2/HZ8dfx1PHR8c3xyfHF8cDxuvG08a7xqPGi8ZvxlPGO8YfxgfF78XTxb/Fq8WXxYPFd8VrxV/FV8VTxU/FT8VTxVfFX8VnxXPFf8WPxZ/Fr8W/xdPF48X3xgfGF8YnxjfGQ8ZPxlfGY8ZnxmvGb8ZzxnPGb8ZvxmvGZ8Zjxl/GW8ZXxlPGU8ZXxlvGX8ZrxnfGh8abxrPGz8bzxxfHP8dvx6PH18gTyE/Ij8jTyRfJX8mnye/KN8p/ysfLC8tLy4vLw8v7zCvMV8x7zJvMr8zDzMvMz8zLzL/Mq8yTzG/MS8wby+vLs8t3yzfK88qvymfKH8nXyYvJQ8j7yLfId8g3x/vHw8ePx2PHN8cTxu/G18a/xq/Gn8aXxpPGj8aTxpfGm8ajxq/Gt8bDxsvG08bbxuPG58bnxuPG38bTxsfGt8afxofGa8ZHxiPF+8XLxZvFZ8UzxPvEv8SDxEfEC8PLw4vDT8MPwtPCm8JfwivB88HDwZPBY8E7wRPA68DLwKvAj8BzwFvAR8AzwCPAE8ADv/e/67/fv9O/y7/Dv7e/r7+jv5u/j7+Hv3u/b79jv1e/S78/vzO/J78bvw+/B777vvO+677jvt++277Xvte+177bvt++577vvve/A78TvyO/N79Lv1+/d7+Pv6e/w7/fv/vAF8A3wFPAc8CPwK/Ay8DrwQfBJ8FDwWPBf8GbwbfB08HvwgvCJ8JHwmPCf8KfwrvC28L7wxvDO8Nfw4PDp8PLw/PEG8RDxGvEk8S7xOfFD8U7xWPFi8WzxdvF/8YjxkPGY8Z/xpvGs8bHxtfG58bzxvvG/8b/xv/G98bvxuPG18bHxrPGn8aHxm/GV8Y/xifGD8X7xefF08XDxbPFq8WjxZ/Fo8WnxbPFw8XbxfPGE8Y7xmPGk8bLxwPHP8eDx8fIE8hbyKvI+8lLyZvJ68o7yofK08sby2PLo8vjzBvMT8x/zKfMy8znzPvNC80XzRfNF80LzP/M68zTzLfMl8xzzEvMJ8v7y9PLp8t/y1fLM8sPyu/K08q7yqvKn8qXypfKm8qnyrvK08rzyxvLR8t7y7PL88w3zH/My80bzW/Nw84bznPOz88nz4PP29Az0IfQ19En0XPRt9H70jvSd9Kr0tvTB9Mv01PTb9OL05/Ts9PD08vT19Pf0+PT59Pn0+vT69Pv0/PT99P71APUD9Qb1CfUO9RP1GPUf9Sb1LvU29T/1SfVT9V31aPVz9X71ifWV9aD1qvW19b/1yPXR9dn14PXm9ev17/Xy9fP19PXz9fH17vXp9eP13PXU9cv1wfW19an1nPWP9YD1cvVi9VP1Q/Uz9SP1FPUE9PX05vTY9Mv0vvSy9Kb0nPSS9Ir0gvR89Hb0cvRv9Gz0a/Rr9Gz0bvRx9HX0evSA9Ib0jvSW9J/0qfSz9L70yvTW9OP08PT+9Qz1G/Uq9Tr1SvVa9Wv1ffWO9aH1s/XG9dn17PYA9hP2J/Y79k/2ZPZ39ov2n/ay9sX22Pbq9vv3DPcc9yv3OfdG91L3Xfdn92/3dvd894H3g/eF94X3hPeC9373efdz92v3Y/da91D3Rfc59y33IfcV9wj2+/bu9uL21vbK9r/2tfar9qL2mvaT9oz2h/aC9n/2fPZ69nj2ePZ49nj2efZ79n32f/aA9oL2hPaF9of2h/aH9of2hvaE9oH2ffZ59nT2bvZn9mD2WPZQ9kf2PfY09ir2IPYX9g72BfX99fb17/Xq9eb14/Xi9eL15PXo9e719vYA9gv2GfYp9jr2TvZj9nr2k/au9sn25vcE9yP3Q/dj94T3pffG9+b4B/gn+Eb4ZPiB+Jz4t/jQ+Of4/fkR+ST5NPlD+VD5W/lk+Wz5cvl2+Xn5evl6+Xn5d/l0+XD5a/lm+WD5WvlU+U75SPlD+T35OPkz+S/5K/ko+Sb5JPkj+SP5I/kk+SX5J/kq+S35MPk0+Tj5PPlB+UX5SvlP+VP5WPlc+WD5ZPln+Wr5bflv+XH5c/l1+Xb5dvl3+Xf5d/l3+Xf5d/l2+Xb5dvl2+Xb5dvl2+Xf5d/l4+Xr5fPl9+YD5gvmF+Yn5jPmQ+ZT5mPmc+aH5pfmq+a75s/m3+bv5wPnD+cf5yvnO+dD50/nV+df52PnZ+dr52vna+dn52fnY+df51fnU+dL50PnO+cz5yvnJ+cf5xfnE+cP5wvnB+cH5wPnB+cH5wvnD+cT5xvnH+cn5zPnO+dH50/nW+dn52/ne+eH54/nm+dD50PnQ+dD50PnQ+c/5z/nO+cz5y/nJ+cf5xvnD+cH5v/m9+bv5ufm3+bT5svmx+a/5rvmt+az5rPms+az5rfmu+a/5sfmz+bb5ufm8+cD5xPnI+c350vnX+dz54vnn+e358vn4+f36A/oI+g36EvoW+hv6H/oi+ib6Kfor+i76L/ox+jL6M/oz+jT6NPoz+jP6M/oy+jH6MPow+i/6L/ou+i76Lvov+i/6MPoy+jP6Nfo4+jv6PvpC+kb6S/pQ+lb6XPpi+mj6b/p2+n76hfqN+pX6nfql+q36tfq9+sX6zfrV+t365Prs+vP6+vsA+wf7DfsU+xn7H/sl+yr7L/s0+zn7PftC+0b7S/tP+1P7V/tb+1/7Y/tn+2v7b/tz+3f7e/t++4L7hvuJ+437kPuU+5f7mvud+6D7ovuk+6b7qfuq+6z7rfuu+677r/uv+6/7rvuu+637q/uq+6j7pvuk+6H7n/uc+5n7lvuT+4/7jPuI+4X7gft++3r7d/tz+3D7bPtp+2X7Yvtf+1z7WftW+1P7UftO+0z7SftH+0X7Q/tB+z/7Pvs8+zr7Ofs4+zb7Nfs0+zL7Mfsw+y/7Lvst+yz7K/sq+yn7KPsn+yb7JPsk+yL7Ifsg+x/7Hvsd+xv7GvsZ+xj7FvsV+xP7EvsQ+w/7DfsL+wr7CPsG+wT7AvsA+v76+/r5+vf69fry+u/67frq+uf65fri+t762/rY+tX60frO+sr6xvrC+r76uvq1+rH6rPqo+qP6nvqY+pP6jvqI+oL6fPp1+m/6aPpi+lv6VPpM+kX6Pfo1+i36Jfod+hX6DPoD+fv58vnp+d/51vnN+cT5uvmx+af5nvmV+Yv5gfl4+W75ZPlb+VH5SPk++TT5K/kh+Rf5DvkE+Pr48fjn+N741PjK+MH4t/it+KT4mviR+If4ffh0+Gr4YfhX+E74Rfg7+DL4Kfgg+Bf4DvgF9/339Pfs9+T32/fT98z3xPe897X3rfem95/3mPeR94r3hPd993b3cPdp92P3XPdW90/3SPdC9zv3NPct9yb3H/cX9xD3CfcB9vn28fbp9uD22PbP9sf2vva19qz2ovaZ9pD2hvZ99nP2afZg9lb2TPZC9jn2L/Yl9hv2EfYI9f719PXq9eH11/XN9cP1uvWw9ab1nPWS9Yj1fvV09Wr1YPVV9Uv1QfU29Sv1IPUV9Qr0//T09Oj03fTR9Mb0uvSu9KL0lvSK9H70cvRm9Fn0TfRB9DX0KfQd9BH0BvP68+7z4/PY88zzwfO386zzofOX843zg/N583DzZ/Nd81XzTPNE8zvzM/Mr8yTzHPMV8w7zB/MB8vvy9fLv8uny5PLe8tny1PLQ8svyx/LD8r/yu/K48rXysfKu8qzyqfKm8qTyovKg8p7ynPKa8pjylvKU8pPykfKP8o3yi/KJ8ofyhfKC8oDyffJ68nfydPJx8m7yavJm8mLyXvJa8lXyUPJM8kfyQvI98jjyM/Iu8inyJfIg8hvyF/IT8g/yC/IH8gTyAfH+8fvx+fH38fXx9PHz8fLx8fHx8fDx8PHw8fDx8PHw8fHx8fHx8fHx8PHw8e/x7vHt8evx6fHn8eTx4fHe8drx1vHS8c3xyPHD8b3xuPGy8avxpfGf8ZjxkvGM8YXxf/F58XTxbvFp8WXxYPFd8VnxVvFT8VHxUPFP8U7xTvFO8U/xUPFS8VTxVvFZ8VzxX/Fj8Wbxa/Fv8XPxePF98YLxh/GM8ZLxmPGd8aPxqfGw8bbxvfHE8czx1PHc8eTx7fH38gDyCvIV8iDyLPI38kTyUPJd8mryePKG8pTyovKw8r7yzPLa8ufy9fMB8w7zGfMk8y/zOPNB80jzT/NU81nzXPNf82DzYPNf81zzWfNU80/zSfNB8znzMfMn8x3zE/MI8v3y8vLn8tzy0fLG8rvysfKn8p7ylvKO8ofygPJ68nXycfJt8mryaPJm8mXyZPJk8mTyZPJl8mbyZvJn8mfyaPJo8mfyZvJl8mPyYPJd8ljyVPJO8kfyQPI48i/yJfIb8hDyBPH38erx3fHP8cDxsfGi8ZPxhPF08WXxVfFG8TfxKPEa8Qzw/vDx8OTw2PDM8MHwtvCs8KLwmfCQ8IjwgfB58HPwbPBm8GHwXPBX8FLwTvBK8EbwQ/BA8D3wOvA48DXwM/Ax8DDwLvAt8CzwLPAr8CvwK/As8C3wLvAv8DHwNPA28DnwPPBA8ETwSPBN8FHwV/Bc8GLwaPBu8HXwfPCD8IrwkfCZ8KDwqPCw8LfwwPDI8NDw2PDg8Onw8fD68QLxC/EU8R3xJvEw8TnxQ/FM8VbxYPFr8XXxgPGK8ZXxoPGr8bbxwfHM8dfx4vHt8ffyAvIM8hXyHvIn8i/yN/I+8kTySfJO8lLyVfJX8ljyWPJX8lbyVPJQ8kzyR/JC8jvyNPIt8iXyHfIU8gvyA/H68fHx6fHh8drx0/HN8cjxxPHB8b/xvvG/8cDxw/HI8c3x1fHd8efx8vH/8gzyG/Iq8jvyTPJe8nHyhPKX8qvyvvLS8uTy9/MJ8xrzKvM580fzVPNg82rzc/N684DzhPOH84jzh/OG84LzfvN483HzafNh81fzTfND8zjzLfMi8xjzDfME8vvy8/Lr8uXy4PLd8tvy2vLb8t3y4fLn8u7y9/MC8w7zG/Mq8zvzTPNe83LzhvOb87Hzx/Pd8/P0CvQg9Db0S/Rg9HT0h/Sa9Kv0u/TK9Nj05fTx9Pv1BPUM9RP1GPUd9SD1I/Ul9Sb1JvUm9SX1JPUi9SH1H/Ue9R31HPUb9Rv1G/Uc9R71IPUi9Sb1KvUv9TX1O/VC9Ur1UvVa9WP1bPV29YD1ivWT9Z31pvWv9bj1wPXH9c711PXZ9d314PXj9eT15PXj9eH13vXZ9dP1zfXF9b31s/Wo9Z31kfWE9Xf1afVb9Uz1PfUv9SD1EfUC9PT05vTY9Mv0vvSz9Kf0nfSU9Iv0hPR99Hj0c/Rw9G70bPRs9G70cPRz9Hj0ffSE9Iz0lPSe9Kn0tPTB9M703fTs9Pz1DPUd9S/1QvVV9Wn1ffWR9ab1vPXR9ef1/fYT9in2P/ZV9mv2gPaV9qr2v/bS9ub2+PcK9xz3LPc790n3V/dj9273ePeB94j3j/eU95f3mveb95v3mveY95X3kfeL94X3fvd29273Zfdb91H3R/c89zH3J/cc9xL3B/b99vT26vbi9tn20vbK9sT2vva49rP2r/ar9qj2pfai9qD2nvac9pv2mfaX9pb2k/aR9o/2jPaI9oX2gPZ79nb2cPZp9mL2WvZS9kn2QPY39i32I/YZ9g/2BvX89fP16vXi9dv11fXP9cv1yPXG9cb1x/XK9c711PXc9eb18vX/9g72H/Yy9kb2XPZz9oz2pvbC9t72+/ca9zj3V/d395f3tvfW9/X4FPgy+FD4bPiI+KP4vPjU+Ov5APkU+Sb5N/lG+VT5YPlr+XT5fPmD+Yj5jPmO+ZD5kfmR+ZD5j/mN+Yr5h/mE+YD5ffl5+Xb5cvlv+Wz5aflm+WT5Yvlh+WD5X/le+V75X/lf+WD5Yflj+WT5Zvlo+Wr5bPlu+XD5cvl0+Xb5ePl6+Xv5ffl++X/5gPmB+YH5gvmC+YP5g/mD+YP5g/mD+YP5gvmD+YP5g/mD+YP5hPmF+YX5hvmH+Yn5ivmM+Y75j/mR+ZT5lvmY+Zr5nfmf+aH5pPmm+aj5qvmt+a75sPmy+bP5tfm2+bf5uPm5+br5uvm6+bv5u/m7+bv5u/m7+bv5uvm6+br5uvm6+br5uvm6+bv5u/m8+b35vfm++b/5wPnB+cP5xPnF+cb5yPnJ+cr5y/nN+c75z/nP+X75fvl9+X35fPl8+Xv5evl5+Xj5d/l2+XX5dPlz+XL5cflw+W/5b/lu+W75bvlu+W75b/lw+XH5c/l0+Xb5ePl7+X75gfmE+Yj5jPmQ+ZT5mfme+aL5p/ms+bH5t/m8+cH5xvnK+c/51PnY+d354fnk+ej56/nu+fH59Pn2+ff5+fn6+fv5/Pn8+f35/fn9+f35/Pn8+fz5+/n7+fr5+vn6+fr5+vn6+fv5/Pn9+f76APoC+gT6B/oK+g76EfoV+hr6H/ok+in6L/o0+jv6QfpH+k76Vfpc+mP6avpx+nj6f/qG+o36lPqb+qH6qPqu+rT6uvrA+sb6zPrR+tb62/rg+uT66frt+vH69fr5+v37APsD+wf7CvsN+xD7E/sV+xj7Gvsd+x/7Ifsk+yb7KPsp+yv7Lfsu+y/7Mfsy+zP7M/s0+zT7Nfs1+zX7NPs0+zP7Mvsx+zD7L/st+yz7Kvso+yb7I/sh+x77HPsZ+xb7E/sQ+w37CvsH+wT7APr9+vr69/r0+vH67vrr+uj65fri+uD63frb+tn61vrU+tL60PrO+sz6y/rJ+sj6xvrF+sP6wvrB+sD6vvq9+rz6u/q6+rn6uPq3+rb6tfq0+rP6sfqw+q/6rvqs+qv6qvqo+qb6pfqj+qH6oPqe+pz6mvqY+pb6k/qR+o/6jPqK+of6hfqC+oD6ffp6+nf6dPpx+m76a/po+mX6Yvpe+lv6WPpU+lH6TfpJ+kb6Qvo++jr6Nvoy+i36Kfok+iD6G/oW+hH6DPoH+gL5/Pn3+fH56/nl+d/52PnS+cv5xfm++bf5r/mo+aH5mfmR+Yr5gvl6+XL5avlh+Vn5UflI+T/5N/ku+SX5HfkU+Qv5Avj5+PD45/je+NX4zPjD+Lr4sfio+J/4lviN+IT4e/hy+Gn4YPhX+E/4Rvg9+DT4K/gj+Br4EfgJ+AD3+Pfv9+f33/fX98/3x/e/97f3sPeo96H3mfeS94v3g/d893b3b/do92H3W/dU9073R/dB9zr3NPcu9yf3Ifca9xT3DfcH9wD2+vbz9uz25fbe9tf20PbJ9sH2ufay9qr2ovaa9pL2ivaB9nn2cPZn9l/2VvZN9kT2O/Yy9in2IPYW9g32BPX69fH16PXe9dX1zPXC9bn1r/Wm9Z31k/WK9YD1d/Vt9WT1WvVR9Uf1PfU09Sr1IPUW9Qz1AvT49O705PTa9ND0xfS79LH0pvSc9JL0h/R89HL0Z/Rd9FL0SPQ99DP0KPQe9BT0CvQA8/bz7PPi89jzz/PG87zzs/Oq86LzmfOR84jzgPN583HzavNi81vzVPNN80fzQfM68zTzL/Mp8yTzHvMZ8xTzD/ML8wbzAvL+8vry9vLy8u/y6/Lo8uTy4fLe8tvy2PLV8tPy0PLN8sryyPLF8sLywPK98rvyuPK18rLysPKt8qryp/Kk8qDynfKa8pfyk/KQ8ozyiPKE8oHyffJ58nXycfJt8mnyZfJh8l3yWfJW8lLyTvJL8kjyRPJB8j7yPPI58jfyNPIy8jHyL/It8izyK/Ip8ijyKPIn8ibyJfIl8iTyJPIj8iLyIfIh8iDyH/Id8hzyGvIY8hbyFPIR8g/yC/II8gXyAfH98fnx9PHv8evx5vHh8dvx1vHR8czxxvHB8bzxt/Gy8a3xqPGk8aDxnPGZ8Zbxk/GQ8Y7xjfGM8YvxivGK8YvxjPGN8Y/xkfGU8ZbxmvGe8aLxpvGr8bDxtvG78cHxyPHP8dbx3fHk8ezx8/H88gTyDPIV8h7yJ/Iw8jryQ/JN8lfyYfJr8nXyf/KJ8pTynvKo8rLyvfLH8tDy2vLk8u3y9vL+8wbzDvMW8x3zI/Mp8y/zM/M48zvzPvNB80LzQ/NE80TzQ/NB8z/zPfM68zbzMvMt8ynzJPMe8xjzEvMM8wbzAPL68vTy7vLo8uLy3PLX8tLyzfLJ8sXywfK+8rryt/K18rPysfKv8q7yrPKr8qryqfKo8qfypvKl8qTyovKh8p/ynfKb8pjylPKR8o3yiPKD8n7yePJy8mzyZPJd8lXyTfJE8jvyMvIo8h/yFfIK8gDx9vHr8eHx1vHM8cHxt/Gt8aPxmfGP8YbxffF08WvxYvFa8VLxSvFD8TvxNPEu8SfxIfEb8RXxEPEK8QXxAPD88Pfw8/Dv8Ovw6PDl8OLw3/Dc8Nrw2PDW8NXw0/DS8NLw0fDS8NLw0/DU8NXw1/DZ8Nzw3/Di8Obw6vDv8PPw+fD+8QTxC/ER8RjxIPEn8S/xN/FA8UnxUvFb8WTxbvF48YPxjfGY8aPxrvG58cTx0PHb8efx8/H/8gvyGPIk8jDyPPJI8lTyYPJs8njyhPKP8prypfKv8rnyw/LM8tTy3PLj8ury8PL18vny/fMA8wLzA/MD8wLzAfL+8vvy9vLy8uzy5fLe8tbyzfLE8rvysfKn8p3yk/KI8n7ydPJq8mHyWPJQ8knyQvI88jfyM/Ix8i/yL/Iv8jHyNfI58j/yRvJO8ljyYvJu8nryiPKW8qXytfLF8tXy5vL38wjzGfMq8zrzSvNZ82jzdfOC847zmPOh86rzsfO287vzvfO/87/zvvO887nztPOu86jzoPOY84/zhvN883LzaPNe81TzS/NB8znzMfMp8yPzHvMa8xfzFfMV8xbzGPMc8yHzKPMw8znzRPNQ813za/N784vznPOu88Hz1PPo8/z0D/Qj9Df0S/Re9HH0g/SV9Kb0tvTF9NT04fTt9Pj1AvUL9RP1GvUg9ST1KPUr9S31LvUv9S71LfUs9Sr1KPUm9SP1IfUe9Rz1GfUX9Rb1FPUT9RL1EvUS9RP1FPUW9Rj1G/Ue9SL1JvUr9S/1NPU69T/1RPVK9VD1VfVa9V/1ZPVo9Wz1b/Vy9XT1dvV39Xf1d/V29XT1cvVv9Wv1ZvVh9Vv1VfVO9Ub1PvU29S31JPUb9RH1CPT+9PT06/Ti9Nj00PTH9L/0uPSx9Kv0pfSg9Jz0mfSW9JX0lPSU9JX0l/Sa9J70o/Sp9LD0uPTA9Mr01fTg9O30+vUI9Rf1JvU29Uf1WPVq9X31j/Wj9bb1yvXe9fL2B/Yb9i/2Q/ZX9mv2f/aR9qT2tvbI9tn26fb49wf3Ffci9y73OfdD9033Vfdc92L3Z/dr9273cPdx93H3cPdu92v3aPdj9173WfdS90z3Rfc99zX3Lfcl9xz3FPcL9wP2+/bz9uv24/bb9tT2zvbH9sH2vPa29rH2rfao9qT2oPad9pn2lvaT9o/2jPaJ9ob2gvZ+9nr2dvZx9m32Z/Zi9lz2VfZO9kf2QPY49jD2KPYf9hf2DvYF9f319PXs9eT13fXW9dD1yvXF9cH1vvW89bz1vPW+9cD1xfXK9dH12vXk9e/1/PYK9hr2KvY89lD2ZfZ69pH2qPbB9tr28/cN9yj3Qvdd93j3k/et98f34ff6+BP4KvhB+Fj4bfiB+JT4pvi3+Mf41fjj+O/4+vkE+Qz5FPkb+SD5Jfkp+Sz5Lvkw+TH5Mfkx+TD5L/ku+S35K/kp+Sj5Jvkk+SL5Ifkf+R75Hfkc+Rz5G/kb+Rz5HPkd+R75H/kg+SL5I/kl+Sf5Kfkr+S75MPky+TX5N/k5+Tv5Pfk/+UH5Q/lF+Uf5SPlK+Uv5TPlN+U75T/lQ+VH5UflS+VP5U/lU+VT5VPlV+VX5VvlW+Vb5V/lX+Vj5WPlZ+Vn5Wvla+Vv5W/lc+V35Xfle+V/5X/lg+WH5Yfli+WP5Y/lk+WX5Zflm+Wf5Z/lo+Wn5avlq+Wv5bPlt+W35bvlv+XD5cfly+XP5c/l0+XX5dvl3+Xj5efl6+Xr5e/l8+X35ffl9+X75fvl++X75fvl++On46Pjo+Of45/jm+Ob45fjl+OX45fjl+OX45fjl+OX45vjn+Oj46fjq+Oz47vjw+PL49fj4+Pv4/vkC+Qb5CvkO+RP5GPkd+SL5KPkt+TP5Ofk/+UX5S/lR+Vf5Xflj+Wn5b/l1+Xr5gPmF+Yr5jvmT+Zf5m/mf+aL5pfmo+ar5rfmv+bD5svmz+bT5tfm1+bb5tvm2+bb5tvm2+bb5tvm2+bb5tvm3+bf5t/m4+bn5uvm7+b35v/nB+cP5xvnJ+cz5z/nT+df52/ng+eT56fnv+fT5+fn/+gX6C/oR+hf6Hfoj+ir6MPo2+jz6QvpI+k76VPpa+l/6Zfpq+m/6dPp5+n36gvqG+or6jfqR+pT6l/qa+p36n/qh+qP6pfqn+qj6qfqq+qv6rPqs+qz6rPqs+qz6rPqr+qr6qvqo+qf6pvql+qP6ovqg+p76nPqa+pj6lfqT+pH6jvqM+on6h/qE+oH6f/p8+nr6d/p0+nL6b/pt+mr6aPpm+mT6Yfpg+l36XPpa+lj6V/pV+lT6U/pR+lD6T/pP+k76TfpM+kz6S/pL+kr6SvpK+kn6SfpJ+kn6SPpI+kj6R/pH+kb6RvpF+kT6Q/pD+kL6QPo/+j76PPo7+jn6N/o1+jP6MPou+iv6Kfom+iP6IPoc+hn6FvoS+g76C/oH+gP5//n7+ff58vnu+er55fnh+dz52PnT+c/5yvnG+cH5vfm4+bT5r/mr+ab5ofmd+Zj5lPmP+Yv5hvmC+X35efl0+XD5a/lm+WL5XflY+VT5T/lK+UX5QPk7+Tb5MPkr+Sb5IPkb+RX5EPkK+QT4/vj4+PL47Pjm+OD42fjT+M34xvi/+Ln4svir+KX4nviX+JD4ifiC+Hv4c/hs+GX4XvhX+E/4SPhB+Dn4Mvgr+CP4HPgU+A34Bvf+9/f37/fo9+D32ffS98r3w/e797T3rfel9573l/eQ94j3gfd693P3bPdl9173V/dQ90n3Qvc79zX3Lvcn9yD3GfcT9wz3Bfb+9vj28fbq9uP23PbV9s/2yPbB9rn2svar9qT2nfaV9o72hvZ/9nf2b/Zn9l/2V/ZP9kf2P/Y29i72JfYd9hT2DPYD9fr18fXp9eD11/XO9cX1vPWz9ar1ofWY9Y/1hvV99XT1a/Vi9Vn1UPVH9T71NfUs9SP1GvUR9Qj0//T39O705fTc9NP0y/TC9Ln0sPSn9J/0lvSN9IT0fPRz9Gv0YvRZ9FH0SPRA9Dj0L/Qn9B/0F/QP9Afz//P38/Dz6PPh89nz0vPL88TzvfO286/zqfOi85zzlvOQ84rzhfN/83nzdPNv82rzZPNg81vzVvNS803zSfNE80DzPPM48zTzMPMs8yjzJfMh8x3zGvMW8xPzD/MM8wjzBfMC8v7y+/L38vTy8fLt8ury5vLj8uDy3PLZ8tXy0vLO8svyx/LE8sDyvfK58rbysvKv8qvyqPKl8qHynvKb8pfylPKR8o7yi/KI8oXyg/KA8n7ye/J58nfydfJz8nHyb/Jt8mzyavJp8mjyZ/Jl8mTyY/Ji8mHyYfJg8l/yXvJd8lzyW/Ja8lnyV/JW8lXyU/JR8lDyTvJL8knyR/JE8kHyPvI78jjyNfIx8i7yKvIm8iPyH/Ib8hfyE/IP8gvyB/IE8gDx/PH58fbx8vHv8e3x6vHo8ebx5PHj8eHx4PHg8d/x3/Hg8eDx4fHi8eTx5vHo8erx7fHw8fPx9/H78f/yA/II8g3yEvIX8hzyIvIn8i3yM/I58j/yRvJM8lPyWfJg8mfybfJ08nvygvKJ8pDylvKd8qTyq/Kx8rfyvvLE8sry0PLW8tzy4vLn8uzy8fL18vry/vMC8wXzCPML8w7zEPMS8xTzFfMW8xfzGPMY8xfzF/MW8xXzFPMS8xDzDvMM8wnzB/ME8wHy/vL78vjy9fLx8u7y6/Ln8uTy4PLd8tny1vLT8tDyzfLJ8sbyw/LA8r7yu/K48rXysvKv8q3yqvKn8qTyovKf8pzymfKW8pPykPKN8oryh/KE8oHyffJ68nfyc/Jw8mzyafJl8mHyXvJa8lbyU/JP8kvyR/JE8kDyPPI58jXyMfIu8iryJvIi8h/yG/IX8hPyD/IM8gjyA/H/8fvx9/Hz8e/x6vHm8eHx3fHY8dTxz/HK8cXxwfG88bfxsvGu8anxpfGh8ZzxmPGU8ZHxjfGK8YfxhfGC8YDxf/F+8X3xffF98X3xfvGA8YLxhPGI8Yvxj/GU8Znxn/Gl8avxs/G78cPxy/HV8d7x6PHz8f7yCfIV8iHyLfI68kbyU/Jh8m7yfPKJ8pfypfKy8sDyzvLb8ujy9fMC8w7zG/Mm8zLzPfNH81HzWvNj82rzcvN4837zg/OH84vzjfOP85DzkPOP843zi/OI84Pzf/N583PzbPNk81zzU/NK80HzN/Mt8yPzGfMP8wXy+/Lx8ujy3/LW8s7yx/LB8rvytvKy8q/yrfKs8qzyrfKv8rLyt/K88sLyyvLS8tvy5fLw8vzzCPMV8yLzMPM+803zW/Np83jzhvOU86HzrvO688bz0fPb8+Tz7PPz8/nz/vQC9AX0B/QH9Af0BfQC8/7z+vP08+7z5/Pf89bzzfPE87vzsfOn857zlPOL84LzevNy82rzZPNe81rzVvNT81LzUfNS81TzVvNb82DzZvNu83fzgPOL85fzo/Ox877zzfPc8+zz/PQM9Bz0LfQ99E30XfRt9Hz0i/SZ9Kf0tPTA9Mz01vTg9On08fT49P/1BPUI9Qz1D/UR9RL1E/UT9RL1EPUP9Qz1CfUG9QP0//T79Pf08/Tv9Ov05/Tk9OD03PTZ9Nb01PTR9M/0zfTM9Mv0yvTJ9Mn0yfTJ9Mn0yvTL9Mz0zfTO9M/00PTR9NP01PTV9Nb01/TX9Nj02PTY9Nj02PTY9Nf01vTV9NT00/TR9ND0zvTN9Mv0yfTH9MX0xPTC9MD0v/S+9L30vfS89Lz0vfS+9L/0wPTD9MX0yPTM9ND01fTb9OH05/Tu9Pb0//UI9RH1G/Um9TH1PfVJ9Vb1Y/Vx9X/1jvWd9az1u/XK9dr16vX69gr2GvYq9jr2SfZZ9mj2d/aG9pT2ovav9rz2yPbU9t/26fbz9vz3BPcM9xP3Gfce9yP3J/cq9yz3Lvcu9y/3Lvct9yv3Kfcm9yP3H/cb9xb3EfcM9wb3APb69vT27vbn9uH22/bU9s72yPbC9rz2tvax9qv2pvah9pv2l/aS9o32iPaE9n/2e/Z29nH2bfZo9mP2XvZZ9lT2T/ZJ9kP2PfY39jH2KvYj9hz2FfYN9gb1//X39e/16PXg9dn10vXL9cT1vvW49bL1rvWp9ab1o/Wh9Z/1n/Wf9aH1o/Wm9av1sPW39b71x/XQ9dv15vXz9gH2D/Ye9i72P/ZQ9mL2dfaI9pv2r/bD9tf26/b/9xT3J/c790/3Yvd094f3mPep97n3yffY9+b39PgA+Az4F/gi+Cv4NPg8+EP4SvhQ+FX4Wvhe+GH4ZPhn+Gn4a/ht+G74b/hw+HH4cvhy+HP4dPh0+HX4dvh3+Hn4evh8+H74gPiC+IT4h/iK+I34kPiU+Jf4m/if+KP4p/ir+K/4s/i3+Lv4v/jD+Mf4y/jP+NP41vja+N344Pjj+OX46Pjq+Oz47vjw+PH48/j0+PX49vj2+Pf49/j3+Pf49/j3+Pf49vj2+PX49Pj0+PP48vjx+PD48Pjv+O747fjs+Oz46/jq+On46fjo+Oj45/jn+Of45/jm+Ob45vjm+Ob45vjn+Of45/jn+Of46Pjo+Oj46fjp+On46vjq+Or46vjq+Ov46/jr+Ov46/jr+Or46vjq+Or46fjp+FH4UPhQ+FD4UPhQ+FD4UPhQ+FH4UfhS+FP4VfhW+Fj4Wvhc+F/4Yvhk+Gj4a/hv+HP4d/h8+IH4hviL+JH4lvic+KP4qfiw+Lb4vfjE+Mv40vjZ+OH46Pjv+Pb4/fkE+Qv5EfkY+R/5Jfkr+TD5Nvk7+UD5RflJ+U35UflV+Vj5W/le+WD5Yvlk+Wb5Z/lo+Wn5avlr+Wv5a/lr+Wz5bPlr+Wv5a/lr+Wv5a/lr+Wz5bPlt+W35bvlv+XD5cvl0+Xb5ePl6+X35gPmD+Yb5ivmO+ZH5lvma+Z/5pPmo+a75s/m4+b35w/nI+c750/nZ+d/55Pnp+e/59Pn5+f76A/oI+gz6EPoU+hj6HPof+iL6Jfoo+ir6LPou+jD6Mfoy+jL6M/oz+jP6Mvoy+jH6L/ou+iz6Kvoo+ib6JPoh+h76G/oY+hX6EvoO+gv6B/oE+gD5/Pn5+fX58vnu+ev55/nk+eD53fna+df51fnS+dD5zfnL+cn5x/nG+cX5w/nC+cH5wfnA+cD5wPnA+cD5wPnA+cH5wvnC+cP5xPnF+cb5x/nJ+cr5y/nM+c35zvnP+dD50fnS+dL50/nT+dP50/nT+dP50vnR+dD5z/nN+cz5yvnI+cX5wvnA+bz5ufm1+bL5rvmp+aX5oPmb+Zb5kfmL+Yb5gPl6+XT5bvlo+WL5XPlV+U/5SPlC+Tv5Nfku+Sj5Ifkb+RX5DvkI+QL4/Pj2+PD46vjk+N742fjT+M74yPjD+L74ufi0+K/4qvil+KH4nPiY+JP4j/iL+Ib4gvh++Hr4dfhx+G34afhl+GH4XPhY+FT4UPhM+Ej4Q/g/+Dv4Nvgy+C34Kfgk+CD4G/gX+BL4DfgI+AT3//f69/X38Pfr9+b34Pfb99b30ffL98b3wfe797b3sPer96X3n/ea95T3jveI94L3fPd393H3a/dl91/3WPdS90z3RvdA9zr3NPct9yf3Ifca9xT3DfcH9wH2+vb09u325vbg9tn20vbL9sX2vva39rD2qfai9pv2k/aM9oX2ffZ29m72Z/Zf9lf2UPZI9kD2OPYw9ij2IPYX9g/2B/X+9fb17fXl9dz10/XL9cL1ufWw9aj1n/WW9Y31hfV89XP1avVh9Vj1UPVH9T71NvUt9ST1HPUT9Qv1AvT69PL06fTh9Nn00fTJ9MH0ufSx9Kn0ofSa9JL0i/SD9Hz0dPRt9Gb0X/RY9FD0SvRD9Dz0NfQv9Cj0IfQb9BX0D/QI9ALz/PP28/Hz6/Pl8+Dz2vPV89DzyvPF88Dzu/O387LzrfOp86TzoPOb85fzk/OP84rzh/OC83/ze/N383PzcPNs82jzZfNh817zWvNX81PzUPNM80nzRvNC8z/zO/M48zTzMfMu8yrzJ/Mj8yDzHPMZ8xbzEvMP8wvzCPME8wHy/fL68vby8/Lw8uzy6fLm8uLy3/Lc8tny1vLS8tDyzfLK8sfyxPLC8r/yvPK68rjytfKz8rHyr/Kt8qvyqfKo8qbypPKj8qLyoPKf8p7ynPKb8prymfKY8pfylfKU8pPykvKR8pDyj/KO8ozyi/KK8ojyh/KF8oTygvKA8n7yffJ78nnyd/J08nLycPJu8mvyafJm8mTyYfJf8lzyWvJX8lXyUvJQ8k7yS/JJ8kfyRfJD8kHyQPI+8j3yPPI68jryOfI48jjyN/I38jfyOPI48jnyOfI68jvyPfI+8kDyQfJD8kXyR/JK8kzyTvJR8lTyV/Ja8l3yYPJj8mbyavJt8nHydPJ48nzygPKD8ofyi/KP8pPymPKc8qDypPKp8q3ysfK28rryvvLD8sfyzPLQ8tXy2fLd8uLy5vLq8u/y8/L38vvy/vMC8wbzCfMM8w/zEvMV8xjzGvMd8x/zIPMi8yPzJPMl8ybzJvMm8ybzJvMl8yTzI/Mi8yDzHvMc8xrzF/MV8xLzD/ML8wjzBPMB8v3y+fL18vHy7fLp8uTy4PLc8tfy0/LP8svyx/LD8r/yu/K38rTysPKt8qryp/Kk8qLyoPKd8pvymvKY8pfylfKV8pTyk/KT8pPyk/KT8pPyk/KU8pTylfKV8pbyl/KY8pjymfKa8prym/Kb8pvym/Kb8pvymvKZ8pjyl/KV8pPykfKP8ozyifKG8oLyf/J68nbycvJt8mjyY/Jd8ljyUvJN8kfyQfI78jbyMPIq8iXyIPIb8hbyEfIN8gryBvID8gDx/vH88fvx+/H78fvx/PH+8gHyBPIH8gzyEfIW8hzyI/Ir8jPyPPJF8k/yWfJk8m/ye/KH8pTyofKu8rzyyfLX8uXy9PMC8xDzHvMs8zrzR/NV82Lzb/N784fzkvOe86jzsvO788Pzy/PS89nz3vPj8+fz6/Pt8+/z8PPw8+/z7vPs8+nz5fPh89zz1vPQ88rzw/O787Pzq/Oj85vzkvOK84HzefNx82nzYfNa81PzTfNH80LzPfM58zbzNPMy8zHzMfMy8zTzN/M68z7zRPNK81DzWPNg82nzcvN884bzkfOc86jzs/O/88vz1/Pj8+7z+fQE9A/0GfQi9Cv0M/Q79EL0SPRN9FH0VPRW9Fj0WPRY9Fb0VPRR9E30SPRD9D30NvQv9Cf0HvQW9A30BPP68/Hz6PPe89bzzfPF873ztfOv86nzo/Of85vzmPOW85TzlPOU85bzmfOc86DzpvOs87PzuvPD88zz1vPh8+zz9/QD9A/0HPQp9Db0QvRP9Fz0afR19IH0jfSY9KP0rfS39MD0yPTQ9Nf03vTj9Oj07PTw9PL09PT19Pb09vT19PP08fTu9Ov05/Tj9N702fTU9M70yfTD9L30tvSw9Kr0o/Sd9Jf0kfSL9IX0gPR69HX0cfRs9Gj0ZPRg9F30WvRX9FX0U/RR9FD0T/RP9E70TvRO9E/0UPRR9FL0U/RV9Ff0WfRc9F/0YfRl9Gj0a/Rv9HP0d/R79ID0hPSJ9I70k/SY9J70pPSq9LD0tvS99MT0y/TS9Nr04vTq9PL0+vUD9Qz1FvUf9Sn1M/U99Uj1U/Ve9Wn1dPWA9Yv1l/Wj9a/1vPXI9dX14fXu9fr2B/YT9h/2LPY49kT2UPZb9mf2cvZ99of2kvac9qX2r/a39sD2yPbP9tb23Pbi9uj27fbx9vX2+fb89v73APcC9wL3A/cD9wL3AvcA9v72/Pb69vf29Pbx9u326fbl9uD23PbX9tL2zfbI9sL2vfa39rL2rPam9qD2mvaU9o72iPaC9nz2dfZv9mn2YvZc9lX2TvZH9kD2OfYy9iv2JPYc9hX2DfYG9f719/Xv9ef13/XY9dD1yPXB9br1s/Ws9aX1nvWY9ZP1jfWI9YT1gPV89Xn1d/V19XT1dPV09XX1d/V59Xz1gPWF9Yv1kfWY9Z/1qPWx9bv1xvXR9dz16fX19gL2EPYe9iz2O/ZK9ln2aPZ39ob2lfak9rP2wvbR9t/27fb79wj3Ffch9y33OfdE90/3Wfdi92v3dPd894T3i/eS95j3nvej96n3rfey97b3uve+98H3xPfI98v3zvfR99T31/fa99334Pfj9+b36vft9/H39ff59/34AfgG+Ar4D/gU+Bn4Hvgj+Cn4Lvgz+Dn4P/hE+Er4T/hV+Fr4X/hk+Gr4bvhz+Hj4fPiB+IT4iPiM+I/4kviV+Jj4mvic+J74n/ig+KL4ovij+KP4o/ij+KP4ovii+KH4oPie+J34nPia+Jj4lviV+JP4kfiP+I34i/iJ+If4hfiD+IH4f/h9+Hv4efh3+HX4dPhy+HD4b/ht+Gz4avhp+Gj4Zvhl+GT4Y/hh+GD4X/he+F34XPhb+Fr4WfhY+Ff4VvhV+FX4VPhT+FL4UvhR9/b39vf29/b39vf29/f3+Pf59/r3+/f99//4AfgD+Ab4CfgM+A/4E/gX+Bv4H/gk+Cn4Lvgz+Dn4PvhE+Er4UfhX+F74Zfhr+HP4eviB+Ij4j/iW+J34pfis+LP4uvjB+Mf4zvjU+Nv44fjn+Oz48fj3+Pz5APkF+Qn5DPkQ+RP5FvkZ+Rv5Hvkg+SH5I/kk+SX5Jvkm+Sf5J/kn+Sf5J/kn+Sf5J/km+Sb5Jvkm+Sb5Jvkm+Sb5Jvkn+Sf5KPkp+Sr5K/kt+S/5Mfkz+TX5OPk7+T75QflE+Uj5TPlQ+VT5WPld+WL5Zvlr+XD5dfl6+X/5hPmJ+Y75k/mX+Zz5oPml+an5rfmx+bX5ufm8+b/5wvnE+cf5yfnK+cz5zfnO+c75z/nP+c75zvnN+cv5yvnI+cb5xPnB+b/5vPm4+bX5svmu+ar5pvmi+Z75mvmW+ZL5jvmJ+YX5gfl9+Xn5dfly+W75avln+WT5Yfle+Vz5WflX+VX5U/lR+VD5T/lO+U35TflM+Uz5TPlN+U35TvlP+VD5UflS+VP5VPlW+Vf5Wfla+Vz5Xflf+WD5Yflj+WT5Zfll+Wb5Z/ln+Wf5Z/ln+Wb5Zvll+WP5Yvlg+V75XPlZ+Vb5U/lP+Uz5SPlD+T/5Ovk1+TD5Kvkl+R/5GfkS+Qz5Bfj/+Pj48fjp+OL42/jU+Mz4xfi9+Lb4r/in+KD4mfiR+Ir4g/h8+HX4bvho+GH4W/hU+E74SPhC+Dz4N/gx+Cz4J/gi+B34GPgT+A/4CvgG+AL3/vf69/b38vfu9+v35/fk9+D33ffa99b30/fQ98z3yffG98P3wPe897n3tvez97D3rPep96b3ovef95v3mPeU95H3jfeJ94b3gvd+93r3dvdy9273avdm92H3XfdZ91X3UPdM90f3Q/c+9zn3Nfcw9yv3J/ci9x33GPcT9w73CfcE9v/2+fb09u/26vbk9t/22fbU9s72yPbD9r32t/ax9qv2pfaf9pn2k/aN9ob2gPZ59nP2bPZl9l72WPZR9kr2Q/Y79jT2LfYl9h72FvYP9gf1//X49fD16PXg9dj1z/XH9b/1t/Wu9ab1nvWV9Y31hfV89XT1a/Vj9Vv1UvVK9UH1OfUx9Sj1IPUY9RD1CPUA9Pj08PTo9OD02PTQ9Mn0wfS69LL0q/Sk9J30lvSP9Ij0gfR69HT0bfRn9GD0WvRU9E70SPRC9Dz0NvQx9Cv0JvQg9Bv0FvQR9Az0B/QC8/3z+PP08+/z6/Pm8+Lz3vPa89Xz0fPN88rzxvPC877zuvO387PzsPOs86nzpfOi85/zm/OY85XzkvOP84vziPOF84Lzf/N883nzdvNz83DzbfNq82fzZPNh817zW/NY81XzUvNP80zzSfNG80PzQPM98zrzN/M08zHzLvMr8yjzJfMi8x/zHPMZ8xfzFPMR8w/zDPMJ8wfzBPMC8v/y/fL68vjy9vLz8vHy7/Lt8uvy6fLn8uXy4/Li8uDy3vLc8tvy2fLY8tby1fLT8tLy0PLP8s7yzPLL8sryyPLH8sbyxfLD8sLywfLA8r7yvfK88rvyufK48rfytfK08rPysvKw8q/yrvKs8qvyqvKp8qjyp/Kl8qTyo/Ki8qHyoPKf8p/ynvKd8pzynPKb8pvymvKa8prymvKZ8pnymfKZ8prymvKa8pvym/Kb8pzynPKd8p7ynvKf8qDyofKi8qPypPKl8qbyp/Ko8qnyq/Ks8q3yr/Kw8rLys/K18rbyuPK68rvyvfK/8sHyw/LF8sjyyvLN8s/y0vLU8tfy2vLd8uDy5PLn8uvy7vLy8vby+vL+8wLzBvMK8w/zE/MY8xzzIPMl8ynzLvMy8zfzO/M/80PzR/NL80/zU/NW81rzXfNg82LzZfNn82nzavNs823zbvNu82/zb/Nu827zbfNr82rzaPNm82TzYfNe81vzWPNU81HzTfNJ80TzQPM88zfzM/Mu8yrzJfMg8xzzGPMT8w/zC/MH8wPzAPL88vny9vLz8vHy7/Lt8uvy6fLo8ufy5/Lm8uby5vLm8ufy5/Lo8uny6vLr8u3y7vLw8vLy8/L18vby+PL58vvy/PL98v7y//L/8wDzAPMA8v/y/vL98vzy+vL48vby8/Lw8u3y6vLm8uLy3fLZ8tTyz/LK8sTyv/K58rPyrvKo8qLynPKX8pHyjPKH8oLyffJ58nXycfJu8mvyaPJm8mXyZPJk8mTyZfJm8mjya/Ju8nLyd/J88oLyiPKP8pbynvKn8rDyuvLE8s/y2vLm8vHy/fMK8xbzI/Mw8z3zSvNX82TzcfN+84rzl/Oj86/zuvPF89Dz2vPk8+3z9fP99AX0DPQS9Bf0HPQg9CT0J/Qp9Cr0K/Qr9Cv0KvQo9Cb0I/Qg9Bz0GPQU9A/0CvQF8//z+fPz8+3z6PPi89zz1vPR88zzx/PD877zu/O487XzsvOx86/zr/Ov86/zsfOy87XzuPO888DzxfPK89Dz1vPd8+Tz7PP08/z0BfQN9Bb0H/Qo9DD0OfRC9Er0UvRa9GL0afRw9Hb0fPSB9IX0ifSN9I/0kfSS9JP0k/SS9JH0jvSM9Ij0hPSA9Hv0dfRv9Gn0YvRb9FT0TPRF9D30NfQu9Cb0H/QY9BH0CvQE8/7z+fP08/Dz7fPq8+fz5vPl8+Tz5fPm8+jz6vPu8/Lz9vP79AH0CPQP9Bb0HvQm9C/0OPRB9Ev0VPRe9Gj0cvR79IX0j/SY9KH0qvSy9Lr0wvTJ9ND01vTb9OD05fTo9Oz07vTw9PH08vTy9PH08PTu9Oz06fTl9OH03fTY9NP0zfTH9MD0uvSz9Kz0pfSd9Jb0jvSH9ID0ePRx9Gr0Y/Rc9Fb0UPRK9ET0P/Q69DX0MfQu9Cr0J/Ql9CP0IfQg9CD0H/Qg9CH0IvQk9Cb0KPQr9C/0MvQ39Dv0QPRG9Ez0UvRY9F/0ZvRt9HX0ffSF9I30lvSf9Kj0sfS79MT0zvTY9OL07PT29QH1C/UW9SH1K/U29UH1TPVX9WL1bfV49YP1jvWZ9aT1r/W69cb10PXb9eb18fX89gb2EfYb9iX2MPY69kP2TfZX9mD2afZy9nr2g/aL9pP2mvai9qn2sPa29rz2wvbI9s320vbW9tr23vbh9uT25/bp9uv27Pbu9u727/bv9u/27vbt9uz26vbo9ub24/bg9t322fbV9tH2zfbI9sP2vva59rP2rfan9qH2mvaT9o32hvZ+9nf2b/Zn9l/2V/ZP9kf2P/Y29i72JfYd9hT2C/YD9fr18vXp9eH12PXQ9cj1wPW49bH1qfWi9Zz1lfWP9Yn1hPV/9Xr1dvVy9W/1bPVq9Wn1Z/Vn9Wf1aPVp9Wv1bfVx9XT1efV+9YP1ifWQ9Zf1n/Wn9bD1uvXE9c712PXj9e/1+vYG9hL2HvYr9jj2RPZR9l72a/Z39oT2kPad9qn2tfbB9sz22Pbj9u72+PcC9wz3Ffce9yf3L/c39z/3R/dO91T3Wvdh92b3bPdx93b3e/eA94T3iPeM95H3lPeY95z3oPek96f3q/ev97P3t/e79773w/fH98v3z/fU99j33ffi9+b36/fw9/X3+vf/+AT4CfgP+BT4Gfge+CP4KPgt+DL4Nvg7+D/4RPhI+Ez4UPhT+Ff4Wvhd+GD4Yvhk+Gb4aPhq+Gv4bPht+G74bvhu+G74bvhu+G34bPhr+Gr4aPhn+GX4Y/hh+F/4Xfhb+Fj4VvhT+FH4TvhL+Ej4RvhD+ED4Pfg6+Dj4Nfgy+C/4LPgq+Cf4JPgi+B/4Hfga+Bj4FfgT+BH4DvgM+Ar4CPgG+AT4A/gB9//3/vf99/v3+vf59/j39/f397/3v/fA98D3wffC98P3xPfG98f3yffL98330PfT99X32Pfc99/34/fm9+v37/fz9/j3/PgB+Ab4DPgR+Bb4HPgh+Cf4Lfgz+Dn4P/hE+Er4UPhW+Fz4Yvho+G34c/h5+H74g/iI+I34kviX+Jv4n/ik+Kf4q/iu+LL4tfi4+Lr4vfi/+MH4w/jE+Mb4x/jI+Mn4yvjL+Mv4zPjM+Mz4zPjM+M34zfjN+M34zfjN+M34zfjO+M74z/jP+ND40fjS+NP41fjW+Nj42vjc+N744Pjj+Ob46fjs+PD48/j3+Pr4/vkC+Qf5C/kP+RP5GPkc+SH5Jvkq+S/5M/k4+Tz5QPlE+Un5TPlQ+VT5V/lb+V75Yflj+WX5aPlq+Wv5bflu+W75b/lv+W/5b/lu+W75bflr+Wr5aPlm+WT5Yflf+Vz5WflW+VL5T/lL+Uj5RPlA+Tz5Ofk0+TH5Lfkp+SX5Ifkd+Rr5FvkT+RD5DPkJ+Qb5BPkB+P/4/Pj6+Pj49/j1+PT48vjx+PD48Pjv+O/47vju+O747vju+O747vjv+O/48Pjw+PD48fjx+PH48vjy+PL48vjy+PL48vjx+PD48Pjv+O747Pjr+On45/jl+OP44Pjd+Nr41/jU+ND4zPjI+MT4v/i7+Lb4sfis+Kb4ofib+Jb4kPiK+IT4ffh3+HH4a/hk+F74WPhR+Ev4RPg++Dj4Mfgr+CX4H/gZ+BP4DfgI+AL3/ff39/L37ffo9+P33vfa99X30ffM98j3xPfA97z3ufe197H3rver96f3pPeh9533mveX95T3kfeO94v3ifeG94P3gPd993r3d/d093H3bvdr92j3Zfdh9173W/dX91T3UPdN90n3RvdC9z73O/c39zP3L/cr9yf3I/cf9xv3F/cT9w73CvcG9wH2/fb59vT28Pbr9uf24vbd9tn21PbQ9sv2xvbB9r32uPaz9q72qfal9qD2m/aW9pH2jPaH9oH2fPZ39nL2bfZn9mL2XPZX9lH2TPZG9kD2OvY09i72KfYi9hz2FvYQ9gn2A/X89fb17/Xp9eL12/XU9c31xvW/9bj1sfWq9aP1m/WU9Y31hfV+9Xb1b/Vn9WD1WfVR9Ur1QvU79TP1LPUk9R31FvUP9Qf1APT59PL06/Tk9N301vTP9Mj0wvS79LT0rvSn9KH0m/SV9I/0ifSD9H30d/Ry9Gz0Z/Rh9Fz0V/RR9E30SPRD9D70OfQ09DD0K/Qn9CL0HvQa9Bb0EfQO9An0BvQC8/7z+vP28/Pz7/Ps8+jz5fPi897z2/PY89Tz0fPO88vzyPPF88Lzv/O887nztvOz87DzrfOr86jzpfOi86DznfOa85jzlfOS84/zjfOK84jzhfOC84DzffN783jzdfNz83DzbvNr82nzZvNk82HzX/Nc81rzWPNV81PzUPNO80zzSfNH80XzQvNA8z7zO/M58zfzNfMz8zHzL/Ms8yrzKPMm8yTzIvMg8x7zHPMb8xnzF/MV8xPzEvMQ8w7zDPML8wnzB/MG8wTzA/MB8wDy//L98vzy+/L58vjy9/L28vXy9PLy8vLy8fLw8u/y7vLt8u3y7PLs8uvy6/Lq8ury6vLq8uny6fLp8uny6fLq8ury6vLq8uvy6/Ls8uzy7fLt8u7y7vLv8vDy8PLx8vLy8/L08vTy9fL28vfy9/L48vny+vL68vvy/PL88v3y/vL+8v/zAPMA8wHzAfMC8wLzA/MD8wTzBPMF8wXzBvMG8wfzCPMI8wnzCvML8wzzDfMO8w/zEfMS8xTzFfMX8xnzG/Md8x/zIvMk8yfzKvMt8zDzM/M28zrzPfNB80TzSPNM81DzVPNY81zzYPNk82jzbPNx83TzePN884DzhPOH84rzjvOR85Tzl/OZ85vznvOg86Hzo/Ok86XzpvOm86bzpvOm86XzpfOk86LzofOf857zm/OZ85fzlPOR84/zjPOJ84bzgvN/83zzefN183Lzb/Ns82nzZvNj82DzXvNb81nzV/NV81PzUfNQ80/zTfNN80zzS/NL80vzS/NL80vzTPNN803zTvNP81DzUfNS81TzVfNW81fzWPNZ81rzW/Nb81zzXPNd813zXfNc81zzW/Na81jzV/NV81PzUfNP80zzSfNG80PzP/M78zjzM/Mv8yvzJ/Mi8x7zGfMU8xDzC/MH8wPy//L78vfy8/Lw8u3y6vLn8uXy4/Li8uDy4PLf8uDy4PLh8uPy5fLn8ury7vLy8vby+/MA8wbzDPMT8xrzIfMp8zHzOfNC80vzVPNd82bzcPN684PzjfOX86HzqvO0873zxvPQ89jz4fPp8/Hz+fQA9Af0DvQU9Bn0HvQj9Cf0K/Qv9DL0NPQ29Df0OPQ59Dn0OfQ59Dj0NvQ19DP0MfQu9Cz0KfQm9CP0IPQd9Bn0FvQT9BD0DfQK9Aj0BfQD9AH0APP+8/3z/fP88/3z/fP+8//0APQD9AX0CPQL9A70EvQW9Bv0H/Qk9Cr0L/Q19Dv0QfRH9E30U/RZ9F/0ZfRr9HH0dvR89IH0hvSK9I70kvSW9Jn0nPSe9KD0ovSj9KT0pPSk9KP0ovSh9J/0nPSa9Jf0lPSQ9Iz0ifSE9ID0e/R39HL0bfRp9GT0YPRb9Ff0U/RP9Ez0SPRF9EP0QPQ/9D30PPQ79Dv0O/Q89D30P/RB9EP0RvRK9E70UvRW9Fv0YfRm9Gz0cvR59H/0hvSN9JP0mvSh9Kj0r/S29L30w/TJ9M/01fTb9OD05fTp9O708fT19Pf0+vT89P70//T/9P/0//T+9P30+/T59Pb09PTw9O306PTk9N/02/TV9ND0yvTF9L/0ufSz9K30p/Sh9Jv0lfSQ9Ir0hfR/9Hr0dvRx9G30afRm9GL0YPRd9Fv0WvRY9Fj0V/RX9Fj0WfRa9Fz0XvRg9GP0Z/Rr9G/0c/R59H70g/SK9JD0lvSd9KX0rPS09Lz0xPTM9NX03vTn9PD0+fUC9Qv1FfUe9Sj1MvU79UX1T/VY9WL1bPV19X/1ifWS9Zz1pfWv9bj1wfXL9dT13fXm9e/19/YA9gn2EfYZ9iL2KvYy9jr2QfZJ9lD2V/Ze9mb2bPZz9nn2gPaG9oz2kfaX9pz2ofam9qv2r/az9rf2u/a+9sH2xPbH9sn2y/bN9s/20PbR9tH20vbS9tH20fbQ9s72zfbL9sn2xvbD9sD2vfa59rX2sfas9qf2ovad9pf2kfaL9oX2fvZ39nD2afZi9lr2U/ZL9kP2O/Yz9iv2I/Yb9hP2C/YD9fv18/Xr9eT13PXV9c71x/XB9br1tPWv9an1pPWf9Zv1l/WU9ZH1jvWM9Yr1ifWI9Yj1iPWJ9Yv1jPWP9ZL1lfWZ9Z71ovWo9a71tPW79cL1yvXS9dv14/Xt9fb2APYK9hT2H/Yq9jT2P/ZL9lb2YfZs9nj2g/aO9pn2pfaw9rr2xfbQ9tr25Pbu9vj3AfcK9xP3HPck9yz3NPc790L3SfdQ91b3XPdi92f3bfdx93b3e/d/94P3h/eL9473kveV95j3m/ef96H3pPen96r3rPev97L3tPe397r3vfe/98L3xffH98r3zffQ99P31vfZ99z33/fi9+X35/fr9+338Pfz9/b3+ff89/74AfgD+Ab4CPgK+A34D/gR+BL4FPgW+Bf4GPgZ+Br4G/gc+Bz4Hfgd+B34Hfgd+Bz4HPgb+Br4GfgY+Bf4FvgV+BP4EfgQ+A74DPgK+Aj4BvgE+AL4APf99/v3+ff29/T38vfv9+336vfo9+b34/fh99/33ffa99j31vfU99L30PfO9833y/fJ98j3xvfF98T3w/fC98H3wffA97/3v/e/92v3bPdt92/3cPdy93T3dvd493r3fPd+94H3g/eG94n3i/eP95L3lfeY95v3n/ei96b3qvet97H3tfe59733wffF98n3zffR99X32vfd9+L35vfq9+738ff19/n3/fgA+AT4B/gL+A74EfgU+Bf4Gvgd+B/4Ivgk+Cf4Kfgr+C34L/gw+DL4M/g1+Db4OPg5+Dr4O/g8+D34Pvg/+ED4QPhB+EL4Q/hE+EX4RvhH+Ej4SfhL+Ez4TvhP+FH4UvhU+Fb4Wfhb+F34YPhi+GX4aPhr+G74cvh1+Hn4fPiA+IT4iPiM+JD4lPiY+J34ofil+Kr4rviy+Lb4u/i/+MP4x/jL+M740vjW+Nn43fjg+OP45vjo+Or47fjv+PH48vj0+PX49vj3+Pf49/j3+Pf49/j2+Pb49fjz+PL48Pju+Oz46vjo+Ob44/jg+N742vjX+NT40fjO+Mv4x/jE+MH4vfi6+Lb4s/iw+Kz4qfim+KP4oPid+Jr4l/iU+JL4j/iN+Ir4iPiG+IT4gviA+H74fPh6+Hn4d/h2+HT4c/hy+HD4b/hu+G34a/hq+Gn4aPhn+GX4ZPhj+GH4YPhe+Fz4W/hZ+Ff4VfhT+FH4T/hM+Er4SPhF+EL4P/g8+Dn4Nvgz+C/4LPgo+CX4Ifgd+Bn4FvgS+A74CfgF+AH3/ff59/X38ffs9+j35Pfg99z31/fT98/3y/fH98T3wPe897j3tPex9633qvem96P3oPed95r3lveT95D3jfeL94j3hfeC94D3ffd793j3dfdz93D3bvdr92n3Zvdk92H3X/dc91n3V/dU91H3TvdM90n3RvdD90D3Pfc59zb3M/cv9yz3KPcl9yH3HfcZ9xX3EfcN9wn3BfcB9v32+fb09vD26/bn9uL23vbZ9tT20PbL9sf2wva99rj2s/av9qr2pfag9pz2l/aS9o32iPaE9n/2evZ19nD2bPZn9mL2XfZY9lT2T/ZK9kX2QfY89jf2MvYt9ij2I/Ye9hn2FPYP9gr2BfYA9fv19vXx9ev15vXg9dv11vXQ9cv1xfW/9br1tPWu9aj1o/Wd9Zf1kfWL9YX1f/V59XP1bPVm9WD1WvVU9U31R/VB9Tv1NPUu9Sj1IvUb9RX1D/UJ9QP0/fT39PH06/Tl9N/02fTT9M30yPTC9Lz0t/Sx9Kz0p/Sh9Jz0l/SS9I30iPSD9H70evR19HD0bPRn9GP0X/Ra9Fb0UvRO9Er0RvRC9D70OvQ39DP0L/Qs9Cj0JfQh9B70G/QX9BT0EfQO9Av0CPQF9ALz//P88/nz9vP08/Hz7vPr8+nz5vPj8+Hz3vPb89nz1vPU89Hzz/PM88rzyPPF88PzwPO+87zzufO387XzsvOw867zq/Op86fzpfOi86DznvOc85nzl/OV85PzkfOP84zzivOI84bzg/OB83/zffN783jzdvN083LzcPNu82vzafNn82XzY/Nh81/zXPNa81jzVvNU81LzUPNO80zzSvNI80bzRPNC80DzPvM88zvzOfM38zXzNPMy8zHzL/Mt8yzzK/Mp8yjzJ/Mm8yXzJPMj8yLzIfMg8yDzH/Me8x7zHfMd8x3zHPMc8xzzHPMc8xzzHPMc8x3zHfMd8x3zHvMe8x/zH/Mf8yDzIfMh8yLzIvMj8yPzJPMk8yXzJvMm8ybzJ/Mn8yjzKPMo8ynzKfMp8ynzKvMq8yrzKvMq8yrzKvMq8yrzKfMp8ynzKfMp8ynzKPMo8yjzKPMo8yjzKPMo8yjzKPMo8yjzKPMp8ynzKfMq8yvzLPMt8y7zL/Mw8zHzM/M08zbzOPM68zzzPvNA80PzRfNI80rzTfNQ81PzVvNZ81zzX/Nj82bzafNs83Dzc/N283nzffOA84PzhvOJ84zzj/OR85TzlvOZ85vznfOf86Hzo/Ok86bzp/Oo86nzqvOr86zzrPOt863zrfOt863zrfOt86zzrPOs86vzq/Oq86rzqfOp86jzqPOn86fzp/Om86bzpvOm86bzpvOm86bzp/On86jzqPOp86rzq/Os863zrvOv87HzsvOz87XztvO487rzu/O9877zwPPB88PzxPPF88fzyPPJ88rzy/PL88zzzPPN883zzfPM88zzy/PL88rzyPPH88XzxPPC88DzvvO787nzt/O087HzrvOr86jzpfOi85/znPOZ85bzkvOQ843zivOH84XzgvOA837zfPN683jzd/N283XzdPN083TzdPN183XzdvN483nze/N983/zgfOE84fzivOO85HzlfOZ853zofOm86rzr/O087jzvfPC88bzy/PQ89Xz2fPe8+Lz5vPq8+7z8vP28/nz/fQA9AP0BfQI9Ar0DPQO9A/0EfQS9BP0E/QU9BT0FPQU9BT0FPQT9BP0EvQR9BD0D/QO9A30DPQL9Ar0CvQJ9Aj0B/QH9Ab0BvQG9Ab0BvQH9Af0CPQJ9Av0DPQO9BD0EvQU9Bf0GvQd9CD0JPQn9Cv0L/Qz9Df0O/RA9EX0SfRO9FL0V/Rc9GD0ZfRp9G70cvR39Hv0f/SC9Ib0ivSN9JD0k/SV9Jj0mvSc9J30n/Sg9KH0ovSi9KL0ovSi9KL0ofSh9KD0n/Sd9Jz0m/SZ9Jj0lvSV9JP0kvSQ9I/0jvSM9Iv0ivSK9In0iPSI9Ij0iPSI9In0ifSK9Iv0jfSO9JD0kvSU9Jf0mvSd9KD0o/Sm9Kr0rvSy9LX0uvS+9ML0xvTK9M700/TX9Nv03/Tj9Of06vTu9PH09fT49Pr0/fT/9QL1A/UF9Qf1CPUJ9Qn1CvUK9Qr1CfUJ9Qj1B/UG9QT1AvUA9P70/PT69Pf09fTy9O/07fTq9Of05PTh9N/03PTZ9Nf01PTS9ND0zvTM9Mr0yfTI9Mf0xvTG9MX0xfTG9Mb0x/TI9Mr0y/TN9M/00vTV9Nj02/Tf9OP05/Tr9PD09fT69P/1BPUK9RD1FvUc9SL1KPUv9TX1PPVD9Ur1UfVY9V/1ZvVt9XT1e/WC9Yn1kPWX9Z71pfWr9bL1ufW/9cb1zfXT9dn14PXm9ez18vX49f72BPYK9g/2FfYa9iD2JfYq9i/2NPY59j72Q/ZH9kz2UPZV9ln2XfZh9mX2afZt9nD2dPZ39nr2ffaA9oP2hvaI9ov2jfaP9pH2k/aU9pb2l/aY9pj2mfaZ9pn2mfaZ9pj2mPaW9pX2lPaS9pD2jvaL9on2hvaD9n/2fPZ49nT2cPZs9mf2Y/Ze9ln2VPZO9kn2RPY+9jj2M/Yt9if2IfYb9hX2EPYK9gT1//X59fT17vXp9eT14PXb9df10/XP9cv1yPXF9cL1wPW+9b31u/W69br1ufW69br1u/W99b71wPXD9cb1yfXN9dH11fXa9d/15fXr9fH19/X+9gX2DPYU9hz2JPYs9jT2PfZG9k72V/Zg9mn2cvZ79oX2jvaX9qD2qPax9rr2w/bL9tP23Pbk9uv28/b69wL3CfcP9xb3HPci9yj3Lfcy9zf3PPdB90X3SfdN91D3VPdX91r3XPdf92H3Y/dl92f3aPdq92v3bfdu92/3b/dw93H3cfdy93L3c/dz93T3dPd093T3dfd193X3dfd193b3dvd293b3dvd393f3d/d393f3ePd493j3ePd493n3efd593n3efd593n3evd693r3evd693r3evd693r3efd593n3efd593j3ePd493f3d/d293b3dvd193T3dPdz93P3cvdx93H3cPdv92/3bvdt9233bPdr92r3avdp92j3aPdn92f3Zvdm92X3Zfdk92T3ZPdj92P3Y/dj92P3Y/dj92P3Y/dj92T3ZPdl92X3Zvdn92j3aPdp9v73AfcD9wb3CfcL9w73EPcT9xb3GPcb9x73IPcj9yb3Kfcr9y73Mfc09zb3Ofc89z/3QvdF90f3SvdN91D3UvdV91j3Wvdd92D3Yvdl92f3avds92/3cfdz93b3ePd693z3fveA94L3hPeG94j3iveM9473j/eR95P3lPeW95j3mfeb95z3nvef96H3ovek96X3pveo96r3q/et9673sPey97P3tfe397n3u/e997/3wffE98b3yPfL98330PfT99b32ffc99/34vfl9+n37Pfw9/P39/f79/74AvgG+Ar4DvgS+Bb4Gvge+CL4Jvgq+C74Mfg1+Dn4PfhB+ET4SPhL+E/4UvhV+Fj4W/he+GH4Y/hl+Gj4avhs+G34b/hw+HL4c/hz+HT4dPh1+HX4dfh1+HT4dPhz+HL4cfhw+G74bfhr+Gn4Z/hl+GP4Yfhe+Fz4WfhW+FP4UfhO+Ev4SPhE+EH4Pvg7+Dj4NPgx+C74Kvgn+CT4Ifgd+Br4F/gU+BH4DvgK+Af4BPgB9/73/Pf59/b38/fw9+736/fo9+b34/fh99733PfZ99f31PfS98/3zffL98j3xvfD98H3v/e897r3uPe197P3sPeu96v3qfen96T3ovef9533mveY95X3k/eR9473jPeJ94f3hPeC93/3ffd693j3dvdz93H3b/dt92r3aPdm92T3Yvdg9173XPda91j3VvdU91P3UfdP9033TPdK90j3R/dF90T3QvdB9z/3Pvc89zv3Ofc39zb3NPcz9zH3L/cu9yz3Kvco9yf3Jfcj9yH3H/cd9xr3GPcW9xP3EfcO9wz3CfcG9wP3APb99vr29/bz9vD27Pbp9uX24fbe9tr21vbS9s72yvbF9sH2vfa49rT2r/ar9qb2ovad9pj2lPaP9or2hfaB9nz2d/Zy9m32aPZk9l/2WvZV9lD2TPZH9kL2PfY49jT2L/Yq9iX2IfYc9hf2E/YO9gn2BfYA9fv19/Xy9e716fXk9eD12/XX9dL1zfXJ9cT1v/W79bb1sfWt9aj1o/We9Zr1lfWQ9Yv1hvWC9X31ePVz9W71afVk9V/1WvVV9VD1S/VF9UH1O/U29TH1LPUn9SL1HfUY9RL1DfUI9QP0/vT59PT07/Tq9OX04PTc9Nf00vTN9Mj0xPS/9Lr0tvSx9K30qPSk9KD0m/SX9JP0j/SL9If0g/R/9Hv0d/Rz9HD0bPRp9GX0YfRe9Fv0V/RU9FH0TvRK9Ef0RPRB9D70O/Q59Db0M/Qw9C70K/Qo9Cb0I/Qg9B70HPQZ9Bf0FPQS9A/0DfQL9An0BvQE9AL0APP98/vz+fP38/Xz8/Px8+7z7PPq8+jz5vPk8+Lz4PPe89zz2vPY89bz1PPS89DzzvPM88rzyPPG88TzwvPA877zvPO687jztfOz87Hzr/Ot86vzqfOn86Xzo/Oh85/znPOa85jzlvOU85LzkPOO84zzivOI84bzg/OB83/zffN783nzd/N183PzcfNv823za/Nq82jzZvNk82PzYfNf813zXPNa81nzV/NW81TzU/NS81HzT/NO803zTPNL80rzSfNI80fzRvNG80XzRPNE80PzQvNC80HzQfNA80DzP/M/8z/zP/M+8z7zPvM98z3zPfM88zzzPPM88zvzO/M78zrzOvM68znzOfM48zjzOPM38zfzNvM28zXzNPM08zPzMvMy8zHzMfMw8y/zL/Mu8y3zLPMs8yvzKvMq8ynzKfMo8yjzJ/Mn8yfzJvMm8ybzJvMm8ybzJvMm8yfzJ/Mo8yjzKfMq8yvzLPMt8y7zL/Mx8zLzNPM28zjzOvM88z7zQPND80XzSPNK803zUPNS81XzWPNb817zYfNk82jza/Nu83HzdPN383vzfvOB84TziPOL847zkfOU85fzmvOd86Dzo/Om86nzq/Ou87HztPO287nzvPO+88Hzw/PG88jzy/PN89Dz0vPU89fz2fPc897z4fPj8+Xz6PPr8+3z8PPy8/Xz+PP68/30APQD9AX0CPQL9A70EfQU9Bf0GvQd9CD0I/Qm9Cn0LPQu9DH0NPQ39Dn0PPQ/9EH0Q/RG9Ej0SvRM9E70UPRR9FP0VPRV9Fb0V/RY9Fn0WfRZ9Fn0WfRZ9Fn0WPRX9Fb0VfRU9FP0UfRQ9E70TPRK9Ej0RvRD9EH0PvQ89Dn0NvQ09DH0LvQr9Cj0JvQj9CD0HfQa9Bf0FfQS9A/0DfQK9Aj0BvQD9AHz//P98/zz+vP48/fz9fP08/Pz8vPw8+/z7/Pu8+3z7fPs8+zz7PPr8+vz6/Pr8+vz6/Pr8+vz6/Pr8+vz6/Pr8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+zz7PPs8+3z7fPt8+7z7vPv8+/z8PPx8/Lz8/P08/Xz9/P48/rz/PP+9AD0AvQF9Af0CvQN9A/0EvQW9Bn0HPQg9CT0J/Qr9C/0M/Q39Dz0QPRE9En0TfRR9Fb0WvRf9GP0aPRs9HD0dPR59H30gfSF9In0jPSQ9JP0l/Sa9J30oPSj9Kb0qfSr9K30sPSy9LT0tfS39Ln0uvS89L30vvS/9MD0wfTB9ML0w/TD9MT0xPTF9MX0xvTG9Mb0x/TH9Mj0yPTJ9Mr0yvTL9Mz0zfTN9M70z/TQ9NL00/TU9Nb01/TY9Nr03PTd9N/04fTj9OT05vTo9Or07PTu9PD08vT09Pb0+PT59Pv0/fT/9QD1AvUE9QX1B/UI9Qn1CvUL9Q31DvUO9Q/1EPUQ9RH1EfUS9RL1E/UT9RP1E/UT9RP1E/UT9RP1E/UT9RP1E/UT9RP1E/UU9RT1FPUV9RX1FvUW9Rf1GPUZ9Rr1G/Uc9R71H/Uh9SP1JfUn9Sr1LPUv9TH1NPU39Tr1PvVB9UX1SPVM9VD1VPVY9Vz1YfVl9Wr1bvVz9Xf1fPWB9Yb1i/WP9ZT1mfWe9aP1p/Ws9bH1tvW69b/1w/XI9cz10fXV9dn13vXi9eb16vXu9fH19fX59fz2APYD9gb2CvYN9hD2E/YW9hn2G/Ye9iH2I/Ym9ij2K/Yt9i/2MvY09jb2OPY69jz2PvZA9kL2Q/ZF9kf2SPZK9kv2TfZO9k/2UPZS9lP2VPZV9lX2VvZX9lj2WPZY9ln2WfZZ9ln2WfZZ9lj2WPZX9lb2VfZV9lP2UvZR9k/2TfZM9kr2SPZG9kP2QfY/9jz2OfY29jT2MfYu9iv2J/Yk9iH2HfYa9hf2E/YQ9g32CfYG9gP2APX89fn19/X09fH17vXs9en15/Xl9eP14fXg9d/13vXd9dz13PXb9dv13PXc9d313vXf9eH14/Xl9ef16vXs9e/18/X29fr1/vYC9gf2C/YQ9hX2GvYg9iX2K/Yx9jb2PPZD9kn2T/ZV9lz2YvZo9m/2dfZ89oL2iPaP9pX2m/ah9qf2rfay9rj2vfbD9sj2zfbS9tb22vbf9uP25/bq9u728fb09vf2+fb89v73APcC9wP3BfcG9wf3CPcI9wn3CfcJ9wn3CfcJ9wj3B/cH9wb3BfcE9wL3AfcA9v72/fb79vn29/b29vT28vbw9u727Pbq9uj25vbk9uL24Pbe9tz22vbY9tf21fbT9tH2z/bO9sz2yvbJ9sj2xvbF9sP2wvbB9sD2v/a+9r32vPa79rr2uva59rn2uPa49rj2uPa39rf2t/a39rf2uPa49rj2ufa59rn2uva79rv2vPa99r72v/bA9sH2wvbD9sX2xvbH9sn2yvbM9s32z/bQ9tL21PbW9tf22fbb9t323/bh9uP25fbn9ur27Pbu9vD28/b19vf2+vb89rP2tva59rz2v/bC9sX2yfbM9s/20vbU9tf22vbd9uD24/bl9uj26/bt9vD28vb19vf2+vb89v73AfcD9wX3B/cJ9wv3DfcP9xH3E/cV9xf3Gfca9xz3Hvcf9yH3I/ck9yb3J/cp9yr3LPct9y/3MPcy9zP3Nfc29zj3Ofc79zz3Pvc/90H3Q/dE90b3SPdJ90v3TfdP91H3U/dV91f3Wfdb9133X/di92T3Z/dp92z3bvdx93T3dvd593z3f/eC94X3iPeL94/3kveV95n3nPef96P3pveq9633sPe097f3u/e+98L3xffJ98z3z/fT99b32ffc99/34vfl9+j36/fu9/D38/f19/j3+vf89/74APgB+AP4BfgG+Af4CPgJ+Ar4C/gL+Az4DPgM+Az4DPgL+Av4CvgJ+An4B/gG+AX4BPgC+AD3//f99/v3+ff29/T38vfv9+336vfn9+T34ffe99v32PfV99L3z/fL98j3xffB9773u/e397T3sPet96n3pvei95/3m/eY95T3kfeN94r3h/eD94D3fPd593b3c/dw92z3afdm92P3YPdd91r3V/dU91H3TvdL90n3RvdD90H3Pvc79zn3Nvc09zH3L/ct9yv3KPcm9yT3Ivcg9x73HPca9xj3FvcU9xL3EfcP9w33DPcK9wn3B/cG9wT3A/cC9wH2//b+9v32/Pb79vr2+fb49vf29vb19vT28/by9vH28Pbw9u/27vbt9uz26/bq9ur26fbo9uf25vbl9uT24/bi9uD23/be9tz22/ba9tj21/bV9tP20vbQ9s72zPbK9sj2xvbD9sH2v/a89rr2t/a09rL2r/as9qn2pvai9p/2nPaY9pX2kfaO9or2hvaD9n/2e/Z39nP2b/Zr9mf2Y/Ze9lr2VvZS9k32SfZF9kD2PPY39jP2LvYq9ib2IfYd9hj2FPYQ9gv2B/YC9f71+fX19fH17PXo9eP13/Xb9df10vXO9cr1xfXB9b31ufW19bD1rPWo9aT1n/Wb9Zf1k/WP9Yv1hvWC9X71evV29XL1bfVp9WX1YfVd9Vn1VPVQ9Uz1SPVE9UD1O/U39TP1L/Ur9Sf1IvUe9Rr1FvUS9Q71CfUF9QH0/fT59PX08fTt9On05fTh9N302fTV9NH0zfTJ9Mb0wvS+9Lr0t/Sz9K/0rPSo9KX0ofSe9Jr0l/ST9JD0jfSK9Ib0g/SA9H30evR39HT0cfRu9Gz0afRm9GP0YfRe9Fv0WfRW9FT0UfRP9Ez0SvRI9EX0Q/RB9D/0PPQ69Dj0NvQ09DL0L/Qt9Cv0KfQn9CX0I/Qh9B/0HvQc9Br0GPQW9BT0EvQQ9A/0DfQL9An0B/QF9AT0AvQA8/7z/fP78/nz9/P18/Tz8vPw8+7z7fPr8+nz5/Pl8+Tz4vPg897z3fPb89nz1/PV89Tz0vPQ887zzPPL88nzx/PF88PzwvPA877zvPO687nzt/O187PzsvOw867zrPOr86nzp/Ol86TzovOg85/znfOb85rzmPOX85XzlPOS85Hzj/OO84zzi/OJ84jzh/OF84Tzg/OB84Dzf/N+833zfPN683nzePN383bzdfN083PzcvNx83Dzb/Nu823zbPNr82rzafNo82jzZ/Nm82XzZPNj82LzYfNh82DzX/Ne813zXPNb81vzWvNZ81jzV/NW81bzVfNU81PzUvNS81HzUPNP80/zTvNN803zTPNM80vzS/NK80rzSfNJ80nzSPNI80jzSPNI80jzSPNI80nzSfNJ80rzSvNL80zzTfNN80/zUPNR81LzVPNV81bzWPNa81zzXvNg82LzZPNm82nza/Nu83Dzc/N283jzfPN/84HzhfOI84vzj/OS85XzmfOc86Dzo/On86vzr/Oy87bzuvO+88LzxfPJ883z0fPV89nz3fPh8+Xz6fPt8/Hz9fP58/30AfQF9An0DfQR9BX0GfQd9CH0JfQp9C30MfQ19Dn0PfRB9EX0SfRN9FH0VfRZ9F30YfRk9Gj0bPRw9HT0ePR89ID0g/SH9Iv0j/SS9Jb0mvSd9KD0pPSn9Kr0rvSx9LT0t/S69Lz0v/TC9MT0xvTI9Mv0zfTO9ND00vTT9NT01vTX9Nf02PTZ9Nn02fTZ9Nn02fTZ9Nj02PTX9Nb01fTT9NL00PTP9M30y/TJ9Mb0xPTC9L/0vPS69Lb0tPSx9K30qvSn9KP0oPSc9Jn0lfSS9I70ivSG9IP0f/R79Hf0dPRw9Gz0aPRl9GH0XfRa9Fb0U/RP9Ez0SPRF9EL0PvQ79Dj0NfQy9C/0LPQp9Cf0JPQh9B/0HfQa9Bj0FvQU9BL0EPQO9Az0CvQJ9Af0BvQE9AP0AvQB9ADz//P+8/3z/fP88/zz/PP78/vz+/P78/zz/PP88/3z/fP+8//0APQB9AP0BPQF9Af0CfQL9A30D/QR9BP0FvQY9Bv0HvQg9CP0JvQp9C30MPQz9Df0OvQ+9EL0RvRJ9E30UfRV9Fn0XvRi9Gb0avRu9HL0dvR69H/0g/SH9Iv0j/ST9Jf0m/Se9KL0pvSq9K30sfS09Lj0u/S+9MH0xPTH9Mr0zfTQ9NL01fTX9Nn03PTe9OD04vTk9OX05/Tp9Or07PTt9O/08PTx9PL08/T09PX09vT39Pj0+fT69Pr0+/T89P30/fT+9P70//UA9QD1AfUB9QL1AvUD9QP1BPUF9QX1BvUG9Qf1B/UI9Qj1CfUJ9Qr1CvUL9Qv1DPUM9Q31DfUO9Q71D/UP9RD1EPUR9RH1EvUS9RP1FPUU9RX1FfUW9Rf1F/UY9Rn1GfUa9Rv1HPUd9R71H/Ug9SH1IvUj9ST1JfUn9Sj1KvUr9S31L/Uw9TL1NPU29Tj1O/U99T/1QvVE9Uf1SvVM9U/1UvVV9Vj1W/Vf9WL1ZfVp9Wz1cPV09Xf1e/V/9YL1hvWK9Y71kvWW9Zr1nvWh9aX1qfWt9bH1tfW49bz1wPXE9cf1y/XO9dL11fXZ9dz13/Xi9eX16PXr9e718fXz9fb1+fX79f32APYC9gT2BvYI9gr2DPYN9g/2EfYS9hT2FfYW9hj2GfYa9hv2HPYd9h72H/Yg9iH2IfYi9iP2I/Yk9iT2JfYl9ib2JvYn9if2J/Yo9ij2KPYo9ij2KfYp9in2KfYo9ij2KPYo9ij2J/Yn9if2JvYm9iX2JfYk9iP2IvYi9iH2IPYf9h72HfYb9hr2GfYY9hb2FfYT9hL2EPYP9g32DPYK9gj2B/YF9gP2AfYA9f71/PX69fn19/X19fT18vXx9e/17vXt9ev16vXp9ej15/Xn9eb15fXl9eT15PXk9eT15fXl9eb15vXn9ej16fXq9ez17fXv9fH18/X19fj1+vX99gD2A/YG9gn2DfYQ9hT2GPYb9h/2I/Yo9iz2MPY09jn2PfZC9kb2S/ZQ9lT2WfZd9mL2Z/Zr9nD2dPZ49n32gfaF9on2jfaR9pX2mfac9qD2o/am9qn2rPav9rH2s/a29rj2uva79r32vva/9sH2wfbC9sL2w/bD9sP2w/bD9sL2wfbB9sD2v/a99rz2u/a59rf2tfaz9rH2r/at9qr2qPam9qP2oPae9pv2mPaV9pL2j/aN9or2h/aE9oH2fvZ79nj2dfZz9nD2bfZq9mj2ZfZj9mD2XvZc9lr2WPZW9lT2UvZQ9k/2TfZM9kv2SfZI9kf2R/ZG9kX2RfZF9kT2RPZE9kX2RfZF9kb2R/ZH9kj2SfZK9kz2TfZO9lD2UvZT9lX2V/ZZ9lv2XfZg9mL2ZPZn9mn2bPZv9nH2dPZ39nr2ffaA9oP2hvaJ9oz2j/aT9pb2mfac9p/2o/am9qn2rPav9of2ivaN9pD2k/aW9pn2m/ae9qH2pPan9qn2rPau9rH2s/a29rj2u/a99r/2wvbE9sb2yPbK9sz2zvbQ9tL21PbW9tj22fbb9t323vbg9uL24/bl9ub26Pbq9uv27Pbu9u/28fby9vT29fb39vj2+vb79vz2/vb/9wH3AvcE9wX3B/cJ9wr3DPcO9w/3EfcT9xX3FvcY9xr3HPce9yD3Ivck9yf3Kfcr9y33MPcy9zT3N/c59zz3PvdB90P3RvdI90v3TvdQ91P3VvdZ91v3Xvdh92T3Zvdp92z3b/dx93T3d/d593z3f/eB94T3hveI94v3jfeP95L3lPeW95j3mvec9533n/eh96L3pPel96b3p/eo96n3qver96z3rPet9633rfet9633rfet9633rPes96v3q/eq96n3qPem96X3pPei96H3n/ed95z3mveY95b3k/eR94/3jPeK94j3hfeC94D3ffd693f3dPdx9273a/do92X3Yfde91v3WPdV91H3TvdL90f3RPdB9z73Ovc39zT3MPct9yr3Jvcj9yD3Hfca9xb3E/cQ9w33CvcH9wT3Afb+9vz2+fb29vP28Pbu9uv26fbm9uT24fbf9tz22vbY9tb20/bR9s/2zfbL9sn2yPbG9sT2wvbB9r/2vfa89rr2ufa39rb2tfaz9rL2sfaw9q72rfas9qv2qvap9qj2p/am9qX2pPaj9qL2ofag9qD2n/ae9p32nPab9pr2mfaY9pf2lvaV9pT2k/aS9pH2kPaP9o32jPaL9on2iPaH9oX2hPaC9oD2f/Z99nv2efZ39nX2c/Zx9m/2bfZr9mj2ZvZk9mH2X/Zc9ln2V/ZU9lH2TvZL9kj2RfZC9j/2PPY59jX2MvYv9iv2KPYl9iH2HvYa9hf2E/YP9gz2CPYE9gH1/fX59fb18vXu9er15vXj9d/12/XX9dP10PXM9cj1xPXA9b31ufW19bH1rvWq9ab1o/Wf9Zv1l/WU9ZD1jPWJ9YX1gfV+9Xr1dvVz9W/1bPVo9WX1YfVe9Vr1VvVT9VD1TPVJ9UX1QvU+9Tv1N/U09TD1LfUq9Sb1I/Uf9Rz1GfUV9RL1D/UL9Qj1BfUB9P70+/T39PT08fTu9Or05/Tk9OH03vTb9Nf01PTR9M70y/TI9MX0wvS/9Lz0ufS29LP0sPSt9Kv0qPSl9KL0n/Sd9Jr0l/SV9JL0j/SN9Ir0iPSF9IP0gPR+9Hv0efR29HT0cvRv9G30a/Rp9Gb0ZPRi9GD0XvRb9Fn0V/RV9FP0UfRP9E30S/RJ9Ef0RfRD9EH0QPQ+9Dz0OvQ49Df0NfQz9DH0L/Qu9Cz0KvQo9Cf0JfQj9CL0IPQe9B30G/QZ9Bj0FvQV9BP0EfQQ9A70DfQL9Ar0CPQG9AX0A/QC9ADz//P98/zz+vP58/fz9vP18/Pz8vPw8+/z7fPs8+vz6fPo8+bz5fPk8+Lz4fPf897z3fPb89rz2fPX89bz1fPT89Lz0fPQ887zzfPM88vzyfPI88fzxvPF88PzwvPB88Dzv/O+87zzu/O687nzuPO387bztfO087PzsvOx87Dzr/Ou863zrPOr86rzqfOo86fzpvOl86Tzo/Oj86LzofOg85/znvOe853znPOb85rzmvOZ85jzmPOX85bzlvOV85TzlPOT85LzkvOR85HzkfOQ85Dzj/OP84/zjvOO847zjvOO843zjfON843zjfOO847zjvOO84/zj/OP85DzkPOR85LzkvOT85TzlfOW85fzmPOZ85rznPOd85/zoPOi86PzpfOn86nzq/Ot86/zsfOz87XzuPO6873zv/PC88Xzx/PK883z0PPT89bz2fPc89/z4/Pm8+nz7PPw8/Pz9/P68/70AfQF9Aj0DPQQ9BT0F/Qb9B/0IvQm9Cr0LvQx9DX0OfQ99EH0RfRI9Ez0UPRU9Fj0W/Rf9GP0Z/Rr9G70cvR29Hr0ffSB9IX0iPSM9JD0k/SX9Jr0nvSi9KX0qfSs9K/0s/S29Ln0vfTA9MP0xvTJ9M300PTT9Nb02PTb9N704fTj9Ob06fTr9O708PTy9PT09vT49Pr0/PT+9QD1AfUD9QT1BvUH9Qj1CfUK9Qr1C/UM9Qz1DfUN9Q31DfUN9Q31DPUM9Qv1C/UK9Qn1CPUH9Qb1BPUD9QH0//T+9Pz0+vT49Pb08/Tx9O/07PTp9Of05PTh9N702/TY9NX00vTP9Mv0yPTF9MH0vvS79Lf0tPSw9K30qfSm9KL0nvSb9Jj0lPSR9I30ivSG9IP0gPR89Hn0dvRz9G/0bPRp9Gb0Y/Rh9F70W/RZ9Fb0VPRR9E/0TfRK9Ej0RvRF9EP0QfQ/9D70PPQ79Dr0OfQ49Df0NvQ19DT0NPQz9DP0M/Qz9DP0M/Qz9DP0NPQ09DX0NfQ29Df0OPQ59Dr0O/Q99D70QPRB9EP0RfRH9En0S/RN9E/0UfRT9Fb0WPRb9F30YPRj9GX0aPRr9G70cfR09Hf0evR89ID0g/SG9In0jPSP9JL0lfSY9Jv0nvSh9KT0p/Sq9K30sPSz9LX0uPS79L70wPTD9MX0yPTL9M30z/TS9NT01vTY9Nr03PTe9OD04vTk9Ob05/Tp9Ov07PTu9O/08PTy9PP09PT19Pf09/T49Pn0+vT79Pz0/fT99P70//T/9QD1APUB9QH1AvUC9QL1A/UD9QP1A/UE9QT1BPUE9QT1BfUF9QX1BfUF9QX1BfUF9QX1BfUF9Qb1BvUG9Qb1BvUG9Qb1BvUH9Qf1B/UH9Qj1CPUI9Qj1CfUJ9Qr1CvUL9Qz1DPUN9Q71D/UP9RD1EfUS9RP1FfUW9Rf1GPUa9Rv1HfUe9SD1IvUj9SX1J/Up9Sv1LfUw9TL1NPU39Tn1PPU+9UH1Q/VG9Un1TPVP9VL1VfVY9Vv1XvVh9WT1Z/Vr9W71cfV09Xj1e/V+9YH1hfWI9Yv1j/WS9ZX1mPWc9Z/1ovWl9aj1q/Wu9bH1tPW39br1vfW/9cL1xfXH9cr1zPXP9dH10/XV9dj12vXc9d714PXh9eP15fXn9ej16vXr9ez17vXv9fD18vXz9fT19fX29ff19/X49fn1+fX69fv1+/X89fz1/PX99f31/fX99f71/vX+9f71/vX+9f71/fX99f31/fX89fz1/PX79fv1+vX69fn1+fX49ff19vX29fX19PXz9fL18fXw9e/17vXt9ez16/Xq9en16PXn9eb15fXj9eL14fXg9d/13vXd9dv12vXZ9dj11/XW9dX11PXT9dP10vXR9dD10PXP9c/1zvXO9c71zvXO9c31zvXO9c71zvXP9c/10PXR9dH10vXU9dX11vXY9dn12/Xc9d714PXi9eT15/Xp9ez17vXx9fT19/X69f32APYD9gb2CvYN9hH2FPYY9hz2H/Yj9if2K/Yu9jL2NvY69j72QvZF9kn2TfZR9lT2WPZc9l/2Y/Zm9mn2bfZw9nP2dvZ59nz2fvaB9oP2hvaI9or2jPaO9o/2kfaS9pT2lfaW9pf2l/aY9pj2mfaZ9pn2mfaZ9pj2mPaX9pb2lvaV9pP2kvaR9o/2jvaM9or2iPaH9oX2gvaA9n72fPZ59nf2dfZy9m/2bfZq9mj2ZfZj9mD2XfZb9lj2VvZT9lH2TvZM9kn2R/ZF9kP2QfY+9jz2O/Y59jf2NfY09jL2MfYw9i72LfYs9iz2K/Yq9ir2KfYp9in2KfYp9in2KfYq9ir2K/Yr9iz2LfYu9i/2MfYy9jT2NfY39jn2OvY89j72QPZD9kX2R/ZK9kz2TvZR9lT2VvZZ9lz2XvZh9mT2Z/Zq9m32cPZz9nb2efZ89n/2gfaE9kb2SPZK9kz2TvZQ9lL2VPZW9lj2WvZc9l32X/Zh9mP2ZfZn9mj2avZs9m72b/Zx9nP2dPZ29nf2efZ69nz2fvZ/9oD2gvaD9oX2hvaH9on2ivaM9o32jvaQ9pH2kvaT9pX2lvaX9pn2mvab9p32nvaf9qH2ovaj9qX2pvao9qn2qvas9q32r/aw9rL2s/a19rb2uPa59rv2vfa/9sD2wvbE9sX2x/bJ9sv2zfbP9tD20vbU9tb22Pba9tz23vbg9uL25Pbm9uj26vbs9u728Pby9vT29vb49vr2/Pb99v/3AfcD9wX3B/cI9wr3DPcN9w/3EfcS9xT3FfcW9xj3Gfca9xv3HPcd9x73H/cg9yH3Ivci9yP3JPck9yT3Jfcl9yX3Jfcl9yX3Jfcl9yT3JPck9yP3I/ci9yH3IPcf9x/3Hvcd9xv3GvcZ9xf3FvcV9xP3EvcQ9w73DPcL9wn3B/cF9wP3Afb/9vz2+vb49vb29Pbx9u/27Pbq9uj25fbj9uD23vbb9tn21vbU9tH2z/bM9sn2x/bE9sL2v/a99rr2uPa19rL2sPau9qv2qfam9qT2ofaf9p32mvaY9pb2k/aR9o/2jfaL9on2h/aF9oP2gfZ/9n32e/Z59nf2dfZ09nL2cPZu9m32a/Zq9mj2Z/Zl9mT2YvZh9l/2XvZd9lv2WvZZ9lf2VvZV9lT2U/ZR9lD2T/ZO9k32TPZK9kn2SPZH9kb2RfZE9kL2QfZA9j/2PvY89jv2OvY59jf2NvY19jT2MvYx9i/2LvYt9iv2KvYo9ib2JfYj9iL2IPYe9hz2G/YZ9hf2FfYT9hH2D/YN9gv2CfYH9gT2AvYA9f71+/X59ff19PXy9e/17fXq9ef15fXi9d/13fXa9df11PXR9c/1zPXJ9cb1w/XA9b31uvW39bT1sfWu9av1qPWl9aL1n/Wc9Zn1lvWT9ZD1jfWJ9Yb1g/WA9X31evV39XT1cfVu9Wv1aPVk9WL1XvVb9Vj1VfVS9U/1TPVK9Uf1RPVB9T71O/U49TX1MvUv9Sz1KfUn9ST1IfUe9Rv1GfUW9RP1EPUO9Qv1CPUG9QP1APT99Pv0+PT19PP08PTu9Ov06PTm9OP04fTe9Nz02fTW9NT00fTP9M30yvTI9MX0w/TA9L70u/S59Lf0tPSy9K/0rfSr9Kn0pvSk9KL0n/Sd9Jv0mfSW9JT0kvSQ9I70i/SJ9If0hfSD9IH0f/R89Hr0ePR29HT0cvRw9G70bPRq9Gj0ZvRk9GL0YPRf9F30W/RZ9Ff0VfRT9FH0UPRO9Ez0SvRI9Ef0RfRD9EH0QPQ+9Dz0OvQ59Df0NfQ09DL0MPQv9C30LPQq9Cj0J/Ql9CT0IvQh9B/0HvQc9Bv0GfQY9Bb0FfQU9BL0EfQP9A70DfQL9Ar0CfQH9Ab0BfQE9AL0AfQA8/7z/fP88/vz+vP48/fz9vP18/Tz8/Py8/Dz7/Pu8+3z7PPr8+rz6fPo8+fz5vPl8+Tz4/Pi8+Hz4PPf897z3fPc89vz2vPZ89jz2PPX89bz1fPU89Pz0vPS89Hz0PPP887zzvPN88zzy/PL88rzyfPJ88jzx/PG88bzxfPE88Tzw/PD88LzwvPB88HzwPPA87/zv/O+877zvfO9873zvPO887zzu/O787vzu/O787rzuvO687rzuvO687rzuvO687vzu/O787vzvPO887zzvfO9877zvvO/87/zwPPB88LzwvPD88TzxfPG88fzyPPJ88rzzPPN887z0PPR89Lz1PPV89fz2fPa89zz3vPg8+Lz5PPl8+fz6vPs8+7z8PPy8/Tz9/P58/vz/vQA9AP0BfQI9Ar0DfQP9BL0FfQX9Br0HfQf9CL0JfQo9Cv0LfQw9DP0NvQ59Dv0PvRB9ET0R/RK9E30T/RS9FX0WPRb9F70YPRj9Gb0afRr9G70cfRz9Hb0efR79H70gfSD9Ib0iPSL9I30kPSS9JX0l/SZ9Jz0nvSg9KP0pfSn9Kn0q/St9K/0svS09LX0t/S59Lv0vfS/9MH0wvTE9Mb0x/TJ9Mr0zPTN9M/00PTR9NP01PTV9Nb01/TY9Nn02vTb9Nz03fTd9N703/Tf9OD04PTg9OH04fTh9OH04fTh9OH04fTh9OH04fTg9OD03/Tf9N703vTd9Nz03PTb9Nr02fTY9Nf01vTU9NP00vTQ9M/0zvTM9Mv0yfTH9Mb0xPTC9MD0v/S99Lv0ufS39LX0s/Sx9K/0rfSr9Kn0p/Sl9KP0ofSe9Jz0mvSY9Jb0lPSS9JD0jvSM9Ir0iPSF9IP0gvSA9H70fPR69Hj0dvR09HP0cfRv9G70bPRr9Gn0aPRm9GX0Y/Ri9GH0YPRf9F70XfRc9Fv0WvRZ9Fj0WPRX9Fb0VvRV9FX0VfRU9FT0VPRU9FT0VPRU9FT0VPRU9FT0VfRV9Fb0VvRX9Ff0WPRY9Fn0WvRb9Fz0XPRe9F/0YPRh9GL0Y/Rk9GX0Z/Ro9Gn0a/Rs9G30b/Rw9HL0c/R19Hb0ePR69Hv0ffR+9ID0gvSD9IX0h/SI9Ir0jPSN9I/0kfSS9JT0lvSX9Jn0m/Sc9J70n/Sh9KP0pPSl9Kf0qfSq9Kv0rfSu9LD0sfSy9LT0tfS29Lf0uPS69Lv0vPS99L70v/TA9MH0wvTD9MT0xfTG9Mb0x/TI9Mn0yfTK9Mv0y/TM9M30zfTO9M70z/TP9M/00PTQ9NH00fTR9NL00vTT9NP00/TT9NT01PTU9NX01fTV9NX01vTW9Nb01/TX9Nf02PTY9Nj02fTZ9Nn02vTa9Nv02/Tc9N303fTe9N703/Tg9OD04fTi9OP05PTl9Ob05/To9On06vTs9O307vTw9PH08vT09Pb09/T59Pv0/PT+9QD1AvUE9Qb1CPUK9Qz1DvUR9RP1FfUY9Rr1HPUf9SH1JPUm9Sn1K/Uu9TH1M/U29Tn1O/U+9UH1Q/VG9Un1TPVP9VH1VPVX9Vr1XPVf9WL1ZPVn9Wr1bPVv9XL1dPV39Xn1fPV+9YH1g/WG9Yj1ivWN9Y/1kfWT9ZX1l/WZ9Zv1nfWf9aH1ovWk9ab1p/Wp9ar1rPWt9a71sPWx9bL1s/W09bX1tvW39bj1ufW59br1uvW79bz1vPW89b31vfW99b31vfW99b31vfW99b31vfW99bz1vPW89bv1u/W69bn1ufW49bj1t/W29bX1tfW09bP1svWx9bD1r/Wu9a31rPWr9ar1qfWo9af1pvWl9aT1pPWj9aL1ofWg9Z/1nvWd9Z31nPWb9Zr1mvWZ9Zn1mPWY9Zf1l/WX9Zf1l/WX9Zf1l/WX9Zf1l/WY9Zj1mfWZ9Zr1m/Wc9Z31nvWf9aD1ovWj9aX1pvWo9ar1q/Wt9a/1sfW09bb1uPW69b31v/XC9cX1x/XK9c310PXS9dX12PXb9d714fXk9ej16/Xu9fH19PX39fr1/fYB9gT2B/YK9g32EPYT9hb2GfYc9h72IfYk9ib2KfYr9i72MPYz9jX2N/Y59jv2PfY+9kD2QvZD9kX2RvZH9kj2SfZK9kv2TPZM9k32TfZN9k72TvZO9k72TvZN9k32TfZM9kz2S/ZK9kr2SfZI9kf2RvZE9kP2QvZB9j/2PvY99jv2OvY49jf2NfY09jL2MfYv9i72LPYr9in2KPYm9iX2I/Yi9iD2H/Ye9hz2G/Ya9hn2GPYX9hb2FfYU9hP2E/YS9hL2EfYR9hD2EPYQ9hD2EPYQ9hD2EPYQ9hD2EfYR9hH2EvYT9hP2FPYV9hb2F/YY9hn2GvYb9h32HvYf9iH2IvYk9iX2J/Yp9ir2LPYu9i/2MfYz9jX2N/Y59jv2PfY+9kH2QvZE9ej16fXq9ev17PXu9e/18PXx9fL18/X09fX19vX39fj1+fX69fv1/PX99f71//YA9gH2AvYD9gT2BfYG9gf2CPYJ9gr2CvYL9gz2DfYO9g/2EPYR9hL2E/YU9hX2FvYX9hj2GfYZ9hr2G/Yc9h32HvYf9iD2IfYi9iP2JPYl9ib2J/Yo9in2KvYr9iz2LfYv9jD2MfYy9jP2NPY19jf2OPY59jr2O/Y99j72P/ZA9kL2Q/ZE9kX2RvZI9kn2SvZM9k32TvZP9lH2UvZT9lX2VvZX9lj2WvZb9lz2XfZe9l/2YfZi9mP2ZPZl9mb2Z/Zo9mn2avZr9mz2bfZu9m72b/Zw9nH2cfZy9nP2c/Z09nX2dfZ19nb2dvZ29nf2d/Z39nf2d/Z39nf2d/Z39nf2d/Z39nf2dvZ29nb2dfZ19nT2dPZz9nP2cvZx9nD2cPZv9m72bfZs9mv2avZp9mj2Z/Zm9mX2ZPZi9mH2YPZe9l32XPZa9ln2WPZW9lX2U/ZS9lD2T/ZN9kz2SvZI9kf2RfZE9kL2QfY/9j32PPY69jn2N/Y19jT2MvYw9i/2LfYs9ir2KfYn9iX2JPYi9iH2H/Ye9hz2G/YZ9hj2FvYV9hP2EvYR9g/2DvYM9gv2CvYI9gf2BvYE9gP2AvYB9gD1/vX99fz1+/X59fj19/X29fX19PXz9fH18PXv9e717fXs9ev16vXp9ef15vXl9eT14/Xi9eH14PXf9d313PXb9dr12fXY9df11fXU9dP10vXQ9c/1zvXN9cv1yvXJ9cf1xvXE9cP1wvXA9b/1vfW89br1ufW39bX1tPWy9bD1r/Wt9av1qvWo9ab1pPWi9aD1n/Wd9Zv1mfWX9ZX1k/WR9Y/1jfWL9Yn1h/WF9YL1gPV+9Xz1evV39XX1c/Vx9W71bPVq9Wf1ZfVj9WH1XvVc9Vr1V/VV9VP1UPVO9Uv1SfVH9UT1QvU/9T31O/U49Tb1M/Ux9S/1LPUq9Sj1JfUj9SH1HvUc9Rr1F/UV9RP1EPUO9Qz1CfUH9QX1AvUA9P70/PT59Pf09fTz9PH07vTs9Or06PTm9OT04fTf9N302/TZ9Nf01fTT9ND0zvTM9Mr0yPTG9MT0wvTA9L70vPS69Lj0tvS09LL0sPSu9Kz0qvSo9Kb0pPSj9KH0n/Sd9Jv0mfSX9JX0k/SS9JD0jvSM9Ir0iPSH9IX0g/SB9H/0fvR89Hr0ePR29HX0c/Rx9G/0bvRs9Gr0aPRn9GX0Y/Ri9GD0XvRc9Fv0WfRY9Fb0VPRS9FH0T/RO9Ez0SvRJ9Ef0RvRE9EL0QfQ/9D70PPQ69Dn0N/Q29DT0M/Qx9DD0LvQt9Cz0KvQp9Cf0JvQk9CP0IfQg9B/0HfQc9Bv0GfQY9Bb0FfQU9BP0EfQQ9A/0DfQM9Av0CvQI9Af0BvQF9AT0AvQB9ADz//P+8/3z/PP68/nz+PP38/bz9fP08/Pz8vPx8/Dz7/Pu8+3z7PPr8+rz6fPo8+fz5vPl8+Tz5PPj8+Lz4fPg89/z3vPe893z3PPb89vz2vPZ89jz1/PX89bz1fPV89Tz0/PT89Lz0vPR89Dz0PPP88/zzvPO883zzfPM88zzy/PL88vzyvPK88rzyfPJ88nzyPPI88jzyPPI88jzx/PH88fzx/PH88fzx/PH88fzx/PI88jzyPPI88jzyfPJ88nzyvPK88vzy/PL88zzzfPN887zzvPP89Dz0fPR89Lz0/PU89Xz1vPX89jz2fPa89vz3PPd897z4PPh8+Lz5PPl8+bz6PPp8+vz7PPt8+/z8PPy8/Tz9fP38/nz+vP88/7z//QB9AP0BfQG9Aj0CvQM9A70D/QR9BP0FfQX9Bn0G/Qd9B70IPQi9CT0JvQo9Cr0LPQu9C/0MfQz9DX0N/Q59Dr0PPQ+9ED0QvRD9EX0R/RJ9Er0TPRO9E/0UfRS9FT0VvRX9Fn0WvRc9F30X/Rg9GL0Y/Rl9Gb0Z/Rp9Gr0a/Rs9G70b/Rw9HH0cvR09HX0dvR39Hj0efR69Hv0fPR99H70f/SA9IH0gvSC9IP0hPSF9IX0hvSH9Ij0iPSJ9Ir0ivSL9Iv0jPSM9I30jfSO9I70jvSP9I/0kPSQ9JD0kPSR9JH0kfSR9JH0kvSS9JL0kvSS9JL0kvSS9JL0kvSS9JL0kfSR9JH0kfSR9JD0kPSQ9I/0j/SP9I70jvSN9I30jfSM9Iz0i/SL9Ir0ifSJ9Ij0iPSH9Ib0hvSF9IT0g/SD9IL0gfSA9ID0f/R+9H30fPR79Hv0evR59Hj0d/R29HX0dPR09HP0cvRx9HD0b/Ru9G30bPRr9Gr0avRp9Gj0Z/Rm9GX0ZPRj9GP0YvRh9GD0X/Re9F70XfRc9Fv0W/Ra9Fn0WfRY9Ff0V/RW9FX0VfRU9FP0U/RS9FL0UfRR9FH0UPRQ9FD0T/RP9E/0TvRO9E70TvRN9E30TfRN9E30TfRN9E30TfRN9E30TfRN9E30TvRO9E70TvRP9E/0T/RQ9FD0UPRR9FH0UvRS9FP0U/RU9FT0VfRV9Fb0V/RX9Fj0WfRZ9Fr0W/Rc9Fz0XfRe9F/0YPRg9GH0YvRj9GT0ZfRm9Gb0Z/Ro9Gn0avRr9Gz0bfRt9G70b/Rw9HH0cvRz9HT0dfR29Hb0d/R49Hn0evR79Hz0fPR99H70f/SA9ID0gfSC9IP0g/SE9IX0hvSG9If0iPSI9In0ivSK9Iv0jPSM9I30jfSO9I/0j/SQ9JD0kfSR9JL0k/ST9JT0lPSV9JX0lvSW9Jf0l/SY9Jn0mfSa9Jr0m/Sb9Jz0nfSd9J70n/Sf9KD0ofSi9KL0o/Sk9KX0pvSm9Kf0qPSp9Kr0q/Ss9K30rvSw9LH0svSz9LT0tvS39Lj0uvS79L30vvTA9MH0w/TF9Mb0yPTK9Mv0zfTP9NH00/TV9Nf02fTb9N303/Th9OP05fTn9On07PTu9PD08vT19Pf0+fT89P71APUD9QX1CPUK9Q31D/UR9RT1FvUZ9Rv1HfUg9SL1JPUn9Sn1LPUu9TD1MvU19Tf1OfU79T31QPVC9UT1RvVI9Ur1TPVO9VD1UfVT9VX1V/VY9Vr1W/Vd9V71YPVh9WP1ZPVl9Wb1Z/Vo9Wn1avVr9Wz1bfVu9W71b/Vw9XD1cfVx9XL1cvVy9XL1c/Vz9XP1c/Vz9XP1c/Vz9XL1cvVy9XL1cfVx9XD1cPVv9W/1bvVu9W31bfVs9Wv1a/Vq9Wn1afVo9Wf1ZvVl9WX1ZPVj9WL1YvVh9WD1X/Vf9V71XfVd9Vz1W/Vb9Vr1WvVZ9Vn1WPVY9Vj1V/VX9Vf1VvVW9Vb1VvVW9Vb1VvVW9Vf1V/VX9Vj1WPVY9Vn1WvVa9Vv1XPVc9V31XvVf9WD1YfVi9WT1ZfVm9Wf1afVq9Wz1bfVv9XH1cvV09Xb1d/V59Xv1ffV/9YH1g/WF9Yf1ifWL9Y31j/WR9ZP1lfWX9Zn1m/Wd9Z/1ofWj9aX1p/Wp9av1rfWv9bH1s/W19bb1uPW69bv1vfW/9cD1wvXD9cX1xvXH9cn1yvXL9cz1zfXO9c/10PXR9dL10/XT9dT11fXV9db11/XX9df12PXY9dj12PXZ9dn12fXZ9dn12fXZ9dn12fXY9dj12PXY9dj11/XX9df11vXW9db11fXV9dT11PXU9dP10/XS9dL10vXR9dH10fXQ9dD10PXP9c/1z/XO9c71zvXO9c71zfXN9c31zfXN9c31zfXN9c31zfXO9c71zvXO9c71z/XP9c/10PXQ9dD10fXR9dL10vXT9dT11PXV9db11vXX9dj12fXZ9dr12/Xc9d313vXf9eD14PXh9eL14/Xk9eX15vXn9Z71nvWf9aD1oPWh9aH1ovWi9aP1pPWk9aX1pfWm9ab1p/Wn9aj1qfWp9ar1qvWr9av1rPWs9a31rfWu9a71r/Wv9bD1sfWx9bL1svWz9bP1tPW09bX1tfW29bb1t/W39bj1uPW59bn1uvW69bv1u/W89bz1vfW99b71v/W/9b/1wPXB9cH1wvXC9cP1w/XE9cT1xfXG9cb1x/XH9cj1yPXJ9cn1yvXL9cv1zPXM9c31zvXO9c/1z/XQ9dD10fXS9dL10/XT9dT11PXV9db11vXX9df12PXY9dn12fXa9dr12/Xb9dz13PXd9d313fXe9d713/Xf9d/14PXg9eD14PXh9eH14fXh9eL14vXi9eL14vXi9eP14/Xj9eP14/Xj9eP14/Xj9eP14/Xi9eL14vXi9eL14vXh9eH14fXg9eD14PXf9d/13/Xe9d713fXd9dz13PXb9dv12vXa9dn12PXY9df11/XW9dX11PXU9dP10vXR9dH10PXP9c71zvXN9cz1y/XK9cn1yPXI9cf1xvXF9cT1w/XC9cH1wPXA9b/1vvW99bz1u/W69bn1uPW39bb1tvW19bT1s/Wy9bH1sPWv9a71rfWt9az1q/Wq9an1qPWn9ab1pvWl9aT1o/Wi9aH1oPWf9Z/1nvWd9Zz1m/Wb9Zr1mfWY9Zf1l/WW9ZX1lPWT9ZP1kvWR9ZD1j/WP9Y71jfWM9Yv1i/WK9Yn1iPWH9Yb1hvWF9YT1g/WC9YL1gfWA9X/1fvV99Xz1e/V69Xn1efV49Xf1dvV19XT1c/Vy9XH1cPVv9W71bPVs9Wr1afVo9Wf1ZvVl9WT1YvVh9WD1X/Ve9Vz1W/Va9Vn1V/VW9VX1U/VS9VH1T/VO9Uz1S/VK9Uj1R/VF9UT1QvVB9T/1PvU89Tv1OfU49Tb1NfUz9TH1MPUu9S31K/Up9Sj1JvUk9SP1IfUf9R71HPUa9Rn1F/UV9RT1EvUQ9Q/1DfUL9Qn1CPUG9QT1AvUB9P/0/fT89Pr0+PT29PX08/Tx9O/07vTs9Or06PTn9OX04/Ti9OD03vTd9Nv02fTX9Nb01PTS9NH0z/TN9Mz0yvTI9Mb0xfTD9ML0wPS+9L30u/S59Lj0tvS09LP0sfSv9K70rPSr9Kn0p/Sm9KT0o/Sh9J/0nvSc9Jv0mfSY9Jb0lPST9JH0kPSO9I30i/SK9Ij0hvSF9IP0gvSA9H/0ffR89Hr0efR39Hb0dPRz9HH0cPRv9G30a/Rq9Gn0Z/Rm9GT0Y/Rh9GD0X/Rd9Fz0WvRZ9Fj0VvRV9FP0UvRQ9E/0TvRM9Ev0SvRI9Ef0RvRE9EP0QvRA9D/0PvQ89Dv0OvQ49Df0NvQ19DP0MvQx9C/0LvQt9Cz0K/Qp9Cj0J/Qm9CX0I/Qi9CH0IPQf9B70HfQb9Br0GfQY9Bf0FvQV9BT0E/QR9BD0D/QO9A30DPQL9Ar0CfQI9Af0BvQF9AT0BPQD9AL0AfQA8//z/vP98/zz+/P78/rz+fP48/fz9vP28/Xz9PPz8/Pz8vPx8/Dz8PPv8+7z7vPt8+zz7PPr8+vz6vPp8+nz6PPo8+fz5/Pm8+bz5fPl8+Tz5PPk8+Pz4/Pi8+Lz4vPh8+Hz4fPh8+Dz4PPg8+Dz3/Pf89/z3/Pf89/z3/Pf89/z3/Pf89/z3/Pf89/z3/Pf8+Dz4PPg8+Dz4PPh8+Hz4fPi8+Lz4vPj8+Pz5PPk8+Xz5fPm8+bz5/Pn8+jz6fPp8+rz6/Pr8+zz7fPt8+7z7/Pw8/Hz8vPz8/Pz9PP18/bz9/P48/nz+vP78/zz/fP+8//0APQB9AP0BPQF9Ab0B/QI9An0CvQM9A30DvQP9BD0EfQT9BT0FfQW9Bf0GPQa9Bv0HPQd9B70IPQh9CL0I/Qk9Cb0J/Qo9Cn0KvQr9C30LvQv9DD0MfQy9DP0NPQ19Df0N/Q59Dr0O/Q89D30PvQ/9ED0QfRC9EP0Q/RE9EX0RvRH9Ej0SfRK9Ev0S/RM9E30TvRP9FD0UPRR9FL0U/RT9FT0VfRW9Fb0V/RY9Fj0WfRZ9Fr0W/Rb9Fz0XPRd9F70XvRf9F/0YPRg9GH0YfRi9GL0Y/Rj9GT0ZPRl9GX0ZvRm9Gb0Z/Rn9Gj0aPRo9Gn0afRp9Gr0avRq9Gr0a/Rr9Gv0bPRs9Gz0bPRs9G30bfRt9G30bfRu9G70bvRu9G70bvRu9G70bvRv9G/0b/Rv9G/0b/Rv9G/0bvRu9G70bvRu9G70bvRu9G70bfRt9G30bfRt9Gz0bPRs9Gz0a/Rr9Gv0avRq9Gr0afRp9Gn0aPRo9Gj0Z/Rn9Gb0ZvRl9GX0ZPRk9GP0Y/Ri9GL0YfRh9GD0YPRf9F/0XvRd9F30XPRc9Fv0WvRa9Fn0WfRY9Fj0V/RW9Fb0VfRU9FT0U/RT9FL0UfRR9FD0UPRP9E/0TvRO9E30TPRM9Ev0S/RK9Er0SfRJ9Ej0SPRI9Ef0R/RG9Eb0RvRF9EX0RPRE9ET0Q/RD9EP0Q/RC9EL0QvRC9EL0QvRB9EH0QfRB9EH0QfRB9EH0QfRB9EH0QfRB9EH0QfRB9EL0QvRC9EL0QvRD9EP0Q/RD9ET0RPRE9EX0RfRF9Eb0RvRG9Ef0R/RH9Ej0SPRJ9En0SvRK9Er0S/RL9Ez0TfRN9E70TvRP9E/0UPRQ9FH0UfRS9FL0U/RT9FT0VPRV9Fb0VvRX9Ff0WPRY9Fn0WfRa9Fv0W/Rc9Fz0XfRe9F70X/Rf9GD0YPRh9GH0YvRj9GP0ZPRk9GX0ZvRm9Gf0Z/Ro9Gn0afRq9Gr0a/Rs9Gz0bfRu9G/0b/Rw9HH0cfRy9HP0dPR09HX0dvR39Hj0efR69Hr0e/R89H30fvR/9ID0gfSC9IP0hPSF9If0iPSJ9Ir0i/SN9I70j/SR9JL0k/SV9Jb0mPSZ9Jv0nPSe9J/0ofSi9KT0pvSn9Kn0q/St9K70sPSy9LT0tvS49Lr0u/S99L/0wfTD9MX0x/TJ9Mv0zfTP9NH00/TV9Nf02fTc9N704PTi9OT05vTo9Or07PTu9PD08vT09Pb0+PT69Pz0/vUA9QL1BPUG9Qj1CfUL9Q31D/UR9RL1FPUW9Rf1GfUb9Rz1HvUf9SH1IvUj9SX1JvUn9Sn1KvUr9Sz1LfUu9S/1MPUx9TL1M/Uz9TT1NfU29Tb1N/U49Tj1OfU59Tn1OvU69Tr1O/U79Tv1O/U79Tv1O/U79Tv1O/U79Tv1O/U79Tv1O/U69Tr1OvU69Tn1OfU59Tj1OPU49Tf1N/U39Tb1NvU19TX1NPU09TP1M/Uz9TL1MvUx9TH1MfUw9TD1MPUv9S/1LvUu9S71LvUt9S31LfUt9Sz1LPUs9Sz1LPUs9Sz1LPUs9Sz1LPUs9Sz1LPUt9S31LfUt9S71LvUu9S/1L/Uw9TD1MfUx9TH1MvUz9TP1NPU19TX1NvU39Tj1OPU59Tr1O/U89T31PfU+9T/1QPVB9UL1Q/VE9UX1RvVH9Uj1SfVK9Uv1TPVN9U71T/VR9VL1U/VU9VX1VvVX9Vj1WfVa9Vv1XPVd9V71X/Vg9WH1YvVj9WP1ZPVl9Wb1Z/Vo9Wn1afVq9Wv1bPVt9W31bvVv9W/1cPVx9XL1cvVz9XP1dPV19XX1dvV29Xf1d/V49Xj1efV59Xr1evV79Xv1fPV89Xz1ffV99X71fvV/9X/1f/WA9YD1gPWB9YH1gvWC9YL1g/WD9YT1hPWE9YX1hfWF9Yb1hvWH9Yf1h/WI9Yj1ifWJ9Yr1ivWK9Yv1i/WM9Yz1jfWN9Y71jvWP9Y/1kPWQ9ZH1kfWS9ZL1k/WT9ZT1lPWV9ZX1lvWW9Zf1mPWY9Zn1mfWa9Zr1m/Wc9Zz1nfWd9Wv1bPVs9Wz1bfVt9W71bvVu9W/1b/Vw9XD1cPVx9XH1cvVy9XL1c/Vz9XP1dPV09XT1dPV19XX1dfV29Xb1dvV29Xf1d/V39Xf1ePV49Xj1ePV59Xn1efV59Xn1evV69Xr1evV69Xv1e/V79Xv1e/V79Xz1fPV89Xz1fPV89Xz1ffV99X31ffV99X31ffV99X31fvV+9X71fvV+9X71fvV+9X71fvV+9X71fvV+9X71f/V/9X/1f/V/9X/1f/V/9X/1f/V/9X/1f/V/9X/1f/V/9X/1f/V+9X71fvV+9X71fvV+9X71fvV+9X71fvV+9X31ffV99X31ffV99X31fPV89Xz1fPV89Xz1e/V79Xv1e/V69Xr1evV69Xn1efV59Xn1ePV49Xj1d/V39Xf1dvV29Xb1dfV19XT1dPV09XP1c/Vz9XL1cvVx9XH1cPVw9W/1b/Vv9W71bvVt9W31bPVs9Wv1a/Vq9Wr1afVp9Wj1aPVn9Wb1ZvVl9WX1ZPVk9WP1Y/Vi9WL1YfVh9WD1X/Vf9V71XvVd9V31XPVb9Vv1WvVa9Vn1WfVY9Vj1V/VW9Vb1VfVV9VT1VPVT9VP1UvVS9VH1UfVQ9VD1T/VO9U71TfVN9Uz1TPVL9Uv1SvVK9Un1SfVJ9Uj1SPVH9Uf1RvVF9UX1RfVE9UT1Q/VD9UL1QvVB9UH1QPVA9T/1P/U/9T71PfU99T31PPU89Tv1O/U69Tr1OfU59Tj1OPU39Tf1NvU29TX1NfU09TT1M/Uz9TL1MvUx9TH1MPUv9S/1LvUu9S31LfUs9Sv1K/Uq9Sr1KfUo9Sj1J/Um9Sb1JfUk9ST1I/Ui9SL1IfUg9R/1H/Ue9R31HPUc9Rv1GvUZ9Rj1GPUX9Rb1FfUU9RP1E/US9RH1EPUP9Q71DfUM9Qv1CvUJ9Qj1CPUH9Qb1BfUE9QP1AvUA9P/0//T99Pz0+/T69Pn0+PT39Pb09fT09PP08fTw9O/07vTt9Oz06/Tp9Oj05/Tm9OX05PTj9OH04PTf9N703fTb9Nr02fTY9Nb01fTU9NP00fTQ9M/0zvTN9Mv0yvTJ9Mf0xvTF9MT0w/TB9MD0v/S99Lz0u/S69Lj0t/S29LT0s/Sy9LH0r/Su9K30rPSq9Kn0qPSm9KX0pPSj9KH0oPSf9J30nPSb9Jr0mPSX9Jb0lfST9JL0kfSQ9I70jfSM9Iv0ifSI9If0hfSE9IP0gvSB9H/0fvR99Hz0evR59Hj0d/R19HT0c/Ry9HH0cPRu9G30bPRr9Gn0aPRn9Gb0ZfRk9GP0YfRg9F/0XvRd9Fz0W/RZ9Fj0V/RW9FX0VPRT9FL0UfRQ9E/0TvRM9Ev0SvRJ9Ej0R/RG9EX0RPRD9EL0QfRA9D/0PvQ99Dz0O/Q69Dn0OPQ49Df0NvQ19DT0M/Qy9DH0MPQw9C/0LvQt9Cz0K/Qr9Cr0KfQo9Cf0J/Qm9CX0JPQk9CP0IvQh9CH0IPQf9B/0HvQd9B30HPQb9Bv0GvQa9Bn0GPQY9Bf0F/QW9Bb0FfQV9BT0FPQT9BP0EvQS9BH0EfQR9BD0EPQP9A/0D/QO9A70DvQN9A30DfQN9Az0DPQM9Az0C/QL9Av0C/QL9Av0C/QK9Ar0CvQK9Ar0CvQK9Ar0CvQK9Ar0CvQK9Ar0CvQK9Ar0CvQL9Av0C/QL9Av0C/QM9Az0DPQM9A30DfQN9A30DvQO9A70D/QP9A/0EPQQ9BH0EfQS9BL0E/QT9BP0FPQU9BX0FfQW9Bb0F/QY9Bj0GfQZ9Br0G/Qb9Bz0HfQd9B70HvQf9CD0IPQh9CL0IvQj9CT0JfQl9Cb0J/Qn9Cj0KfQq9Cr0K/Qs9C30LfQu9C/0MPQw9DH0MvQz9DT0NPQ19Db0N/Q39Dj0OfQ59Dr0O/Q89D30PfQ+9D/0P/RA9EH0QfRC9EP0RPRE9EX0RvRG9Ef0SPRI9En0SvRK9Ev0TPRM9E30TvRO9E/0T/RQ9FD0UfRS9FL0U/RT9FT0VPRV9Fb0VvRX9Ff0WPRY9Fn0WfRZ9Fr0WvRb9Fv0XPRc9Fz0XfRd9F70XvRf9F/0X/Rg9GD0YPRh9GH0YfRi9GL0YvRi9GP0Y/Rj9GT0ZPRk9GT0ZfRl9GX0ZfRm9Gb0ZvRm9Gb0ZvRn9Gf0Z/Rn9Gf0Z/Rn9Gf0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRn9Gf0Z/Rn9Gf0Z/Rn9Gf0ZvRm9Gb0ZvRm9GX0ZfRl9GX0ZPRk9GT0Y/Rj9GP0Y/Ri9GL0YvRh9GH0YfRg9GD0X/Rf9F/0XvRe9F30XfRc9Fz0XPRb9Fv0WvRa9Fn0WfRY9Fj0V/RX9Fb0VvRV9FX0VPRU9FP0UvRS9FH0UfRQ9FD0T/RP9E70TvRN9E30TPRL9Ev0SvRK9En0SfRI9Ej0R/RH9Eb0RvRF9EX0RPRD9EP0QvRC9EL0QfRB9ED0QPQ/9D/0P/Q+9D70PfQ99D30PPQ89Dv0O/Q79Dr0OvQ69Dn0OfQ59Dn0OPQ49Dj0OPQ39Df0N/Q39Df0N/Q29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0NvQ29Db0N/Q39Df0N/Q39Df0N/Q49Dj0OPQ49Dn0OfQ59Dn0OvQ69Dr0OvQ79Dv0O/Q89Dz0PPQ99D30PfQ+9D70P/Q/9D/0QPRA9EH0QfRB9EL0QvRD9EP0RPRE9EX0RfRG9Eb0R/RH9Ej0SPRJ9Er0SvRL9Ev0TPRN9E30TvRP9E/0UPRR9FH0UvRT9FT0VPRV9Fb0V/RY9Fn0WfRa9Fv0XPRd9F70X/Rg9GH0YvRj9GT0ZfRm9Gf0aPRp9Gr0a/Rs9G30b/Rw9HH0cvRz9HX0dvR39Hn0evR79H30fvR/9IH0gvSE9IX0hvSI9Ir0i/SM9I70kPSR9JP0lPSW9Jj0mfSb9Jz0nvSg9KL0o/Sl9Kb0qPSq9Kz0rfSv9LH0s/S09Lb0uPS69Lv0vfS/9MD0wvTE9Mb0x/TJ9Mv0zfTO9ND00vTU9NX01/TY9Nr03PTd9N/04fTi9OT05fTn9Oj06vTr9O307vTw9PH08/T09PX09/T49Pn0+/T89P30/vT/9QH1AvUD9QT1BfUG9Qf1CPUJ9Qr1C/UM9Q31DfUO9Q/1EPUQ9RH1EvUS9RP1FPUU9RX1FfUW9Rb1F/UX9Rj1GPUY9Rn1GfUZ9Rr1GvUa9Rr1G/Ub9Rv1G/Ub9Rv1G/Uc9Rz1HPUc9Rz1HPUc9Rz1HPUc9Rz1HPUc9Rz1HPUb9Rv1G/Ub9Rv1G/Ub9Rv1G/Ub9Rr1GvUa9Rr1GvUa9Rr1GvUa9Rr1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rn1GfUZ9Rr1GvUa9Rr1GvUa9Rr1G/Ub9Rv1G/Ub9Rz1HPUc9Rz1HfUd9R31HvUe9R71H/Uf9R/1IPUg9SD1IfUh9SL1IvUi9SP1I/Uk9ST1JfUl9Sb1JvUn9Sf1KPUo9Sn1KfUq9Sr1K/Ur9Sz1LfUt9S71LvUv9TD1MPUx9TH1MvUy9TP1NPU09TX1NfU29Tf1N/U49Tn1OfU69Tr1O/U79Tz1PfU99T71P/U/9UD1QfVB9UL1QvVD9UP1RPVF9UX1RvVH9Uf1SPVI9Un1SvVK9Uv1S/VM9U31TfVO9U71T/VQ9VD1UfVR9VL1U/VT9VT1VPVV9VX1VvVX9Vf1WPVY9Vn1WvVa9Vv1W/Vc9Vz1XfVd9V71XvVf9WD1YPVh9WH1YvVi9WP1Y/Vk9WT1ZfVl9Wb1ZvVn9Wf1Z/Vo9Wn1afVp9Wr1avVr9Rz1HPUc9R31HfUd9R31HfUe9R71HvUe9R71HvUf9R/1H/Uf9R/1H/Uf9R/1H/Ug9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUg9SD1IPUf9R/1H/Uf9R/1H/Uf9R/1HvUe9R71HvUe9R71HvUd9R31HfUd9R31HPUc9Rz1HPUc9Rv1G/Ub9Rv1G/Ua9Rr1GvUa9Rn1GfUZ9Rn1GPUY9Rj1GPUX9Rf1F/UX9Rb1FvUW9RX1FfUV9RX1FPUU9RP1E/UT9RP1EvUS9RL1EfUR9RH1EPUQ9RD1D/UP9Q/1DvUO9Q71DfUN9Qz1DPUM9Qv1C/UL9Qr1CvUJ9Qn1CfUI9Qj1CPUH9Qf1BvUG9Qb1BfUF9QX1BPUE9QP1A/UC9QL1AvUB9QH1AfUA9QD0//T/9P/0/vT+9P70/fT99Pz0/PT89Pv0+/T69Pr0+vT59Pn0+fT49Pj09/T39Pf09vT29Pb09fT19PX09PT09PT08/Tz9PP08vTy9PL08fTx9PH08PTw9PD07/Tv9O/07/Tu9O707vTt9O307fTt9Oz07PTs9Oz06/Tr9Ov06vTq9Or06vTp9On06fTp9Oj06PTo9Oj06PTn9Of05/Tn9Ob05vTm9Ob05vTl9OX05fTl9OX05PTk9OT05PTk9OP04/Tj9OP04/Ti9OL04vTi9OH04fTh9OH04fTg9OD04PTg9OD03/Tf9N/03/Te9N703vTe9N703fTd9N303fTc9Nz03PTc9Nv02/Tb9Nr02vTa9Nr02fTZ9Nn02PTY9Nj01/TX9Nf01vTW9Nb01fTV9NX01PTU9NT00/TT9NL00vTR9NH00fTQ9ND0z/TP9M70zvTO9M30zfTM9Mz0y/TL9Mr0yvTJ9Mn0yPTH9Mf0xvTG9MX0xfTE9MT0w/TC9ML0wfTA9MD0v/S/9L70vfS99Lz0u/S79Lr0ufS49Lj0t/S29Lb0tfS09LT0s/Sy9LH0sfSw9K/0rvSt9K30rPSr9Kr0qvSp9Kj0p/Sm9KX0pfSk9KP0ovSh9KD0oPSf9J70nfSc9Jv0mvSa9Jn0mPSX9Jb0lfSU9JP0k/SS9JH0kPSP9I70jfSM9Iv0ivSJ9In0iPSH9Ib0hfSE9IP0gvSB9ID0f/R+9H30ffR89Hv0evR59Hj0d/R29HX0dPRz9HL0cvRx9HD0b/Ru9G30bPRr9Gr0afRp9Gj0Z/Rm9GX0ZPRj9GL0YfRh9GD0X/Re9F30XPRb9Fr0WvRZ9Fj0V/RW9Fb0VfRU9FP0UvRR9FH0UPRP9E70TfRN9Ez0S/RK9Er0SfRI9Ef0R/RG9EX0RPRE9EP0QvRC9EH0QPRA9D/0PvQ+9D30PPQ89Dv0OvQ69Dn0OPQ49Df0N/Q29Db0NfQ09DT0M/Qz9DL0MvQx9DH0MPQw9C/0L/Qu9C70LfQt9Cz0LPQs9Cv0K/Qq9Cr0KfQp9Cn0KPQo9Cj0J/Qn9Cf0JvQm9Cb0JfQl9CX0JfQk9CT0JPQk9CP0I/Qj9CP0I/Qi9CL0IvQi9CL0IvQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IPQg9CD0IPQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IfQh9CH0IvQi9CL0IvQi9CL0IvQj9CP0I/Qj9CP0JPQk9CT0JPQl9CX0JfQl9Cb0JvQm9Cb0J/Qn9Cf0J/Qo9Cj0KPQp9Cn0KfQp9Cr0KvQq9Cv0K/Qs9Cz0LPQt9C30LfQu9C70LvQv9C/0L/Qw9DD0MPQx9DH0MvQy9DL0M/Qz9DP0NPQ09DX0NfQ19Db0NvQ29Df0N/Q39Dj0OPQ59Dn0OfQ69Dr0OvQ79Dv0O/Q89Dz0PfQ99D30PvQ+9D70PvQ/9D/0P/RA9ED0QPRA9EH0QfRB9EL0QvRC9EL0Q/RD9EP0Q/RE9ET0RPRE9EX0RfRF9EX0RfRG9Eb0RvRG9Eb0RvRH9Ef0R/RH9Ef0R/RH9Ef0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0SPRI9Ej0R/RH9Ef0R/RH9Ef0R/RH9Eb0RvRG9Eb0RvRG9EX0RfRF9EX0RfRE9ET0RPRE9EP0Q/RD9EP0QvRC9EL0QvRB9EH0QfRA9ED0QPRA9D/0P/Q/9D70PvQ+9D30PfQ89Dz0PPQ79Dv0O/Q69Dr0OfQ59Dn0OPQ49Df0N/Q39Db0NvQ19DX0NfQ09DT0M/Qz9DL0MvQx9DH0MPQw9DD0L/Qv9C70LvQt9C30LPQs9Cv0K/Qq9Cr0KvQp9Cn0KPQo9Cf0J/Qm9Cb0JfQl9CX0JPQk9CP0I/Qi9CL0IfQh9CD0IPQg9B/0H/Qe9B70HvQd9B30HPQc9Bz0G/Qb9Bv0GvQa9Bn0GfQZ9Bj0GPQY9Bf0F/QX9Bb0FvQW9Bb0FfQV9BX0FfQU9BT0FPQU9BP0E/QT9BP0E/QS9BL0EvQS9BL0EvQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EfQR9BH0EvQS9BL0EvQS9BL0E/QT9BP0E/QT9BT0FPQU9BT0FfQV9BX0FvQW9Bb0FvQX9Bf0GPQY9Bj0GfQZ9Br0GvQa9Bv0G/Qc9Bz0HfQd9B70HvQf9B/0IPQg9CH0IvQi9CP0I/Qk9CX0JfQm9Cf0J/Qo9Cn0KfQq9Cv0LPQs9C30LvQv9C/0MPQx9DL0M/Q09DT0NfQ29Df0OPQ59Dr0O/Q89D30PvQ/9ED0QfRC9EP0RPRF9Eb0R/RI9En0SvRL9Ez0TvRP9FD0UfRS9FP0VfRW9Ff0WPRZ9Fv0XPRd9F/0YPRh9GL0ZPRl9Gb0aPRp9Gr0bPRt9G70cPRx9HL0dPR19Hf0ePR69Hv0fPR+9H/0gfSC9IP0hfSG9Ij0ifSL9Iz0jfSP9JD0kvST9JX0lvSY9Jn0mvSc9J30n/Sg9KL0o/Sk9Kb0p/Sp9Kr0q/St9K70r/Sx9LL0s/S19Lb0t/S59Lr0u/S99L70v/TA9ML0w/TE9MX0xvTH9Mn0yvTL9Mz0zfTO9M/00PTR9NL00/TU9NX01vTX9Nj02fTa9Nv03PTd9N703vTf9OD04fTi9OL04/Tk9OX05fTm9Of05/To9Oj06fTq9Or06/Tr9Oz07fTt9O707vTu9O/07/Tw9PD08PTx9PH08vTy9PL08/Tz9PP09PT09PT09PT19PX09fT19Pb09vT29Pb09vT29Pf09/T39Pf09/T39Pf09/T39Pj0+PT49Pj0+PT49Pj0+PT49Pj0+PT49Pj0+PT49Pj0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+fT59Pn0+vT69Pr0+vT69Pr0+vT69Pr0+vT69Pr0+vT79Pv0+/T79Pv0+/T79Pv0/PT89Pz0/PT89Pz0/PT99P30/fT99P30/vT+9P70/vT+9P70//T/9P/0//T/9QD1APUA9QD1AfUB9QH1AfUC9QL1AvUC9QP1A/UD9QP1BPUE9QT1BfUF9QX1BvUG9Qb1BvUH9Qf1B/UI9Qj1CPUI9Qn1CfUJ9Qr1CvUK9Qv1C/UL9Qz1DPUM9Q31DfUN9Q71DvUO9Q/1D/UP9RD1EPUQ9RD1EfUR9RH1EvUS9RL1E/UT9RP1FPUU9RT1FfUV9RX1FvUW9Rb1FvUX9Rf1F/UY9Rj1GPUY9Rj1GfUZ9Rn1GfUa9Rr1GvUa9Rv1G/Ub9Rv1HPUc9LD0r/Sv9K/0r/Sv9K/0r/Sv9K/0rvSu9K70rvSu9K70rvSu9K30rfSt9K30rfSt9K30rfSs9Kz0rPSs9Kz0rPSs9Kv0q/Sr9Kv0q/Sr9Kv0qvSq9Kr0qvSq9Kr0qfSp9Kn0qfSp9Kn0qPSo9Kj0qPSn9Kf0p/Sn9Kf0p/Sm9Kb0pvSm9Kb0pfSl9KX0pfSl9KT0pPSk9KT0pPSj9KP0o/Sj9KL0ovSi9KL0ovSh9KH0ofSh9KD0oPSg9KD0n/Sf9J/0n/Sf9J70nvSe9J70nfSd9J30nfSc9Jz0nPSc9Jv0m/Sb9Jv0m/Sa9Jr0mvSa9Jn0mfSZ9Jn0mPSY9Jj0mPSY9Jf0l/SX9Jf0lvSW9Jb0lvSV9JX0lfSV9JT0lPSU9JT0lPST9JP0k/ST9JP0kvSS9JL0kvSS9JH0kfSR9JH0kPSQ9JD0kPSQ9I/0j/SP9I/0j/SO9I70jvSO9I70jvSN9I30jfSN9I30jfSM9Iz0jPSM9Iz0jPSL9Iv0i/SL9Iv0i/SL9Iv0ivSK9Ir0ivSK9Ir0ivSK9Ir0ifSJ9In0ifSJ9In0ifSJ9In0ifSI9Ij0iPSI9Ij0iPSI9Ij0iPSI9Ij0iPSI9If0h/SH9If0h/SH9If0h/SH9If0h/SH9If0h/SH9If0h/SH9If0h/SG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hvSG9Ib0hfSF9IX0hfSF9IX0hfSF9IX0hfSF9IX0hfSF9IX0hfSF9IX0hfSE9IT0hPSE9IT0hPSE9IT0hPSE9IT0g/SD9IP0g/SD9IP0g/SD9IP0gvSC9IL0gvSC9IL0gvSB9IH0gfSB9IH0gfSA9ID0gPSA9ID0f/R/9H/0f/R+9H70fvR+9H30ffR99H30fPR89Hz0fPR79Hv0e/R79Hr0evR69Hn0efR59Hj0ePR49Hf0d/R39Hb0dvR29HX0dfR19HT0dPRz9HP0c/Ry9HL0cvRx9HH0cPRw9HD0b/Rv9G70bvRt9G30bPRs9Gz0a/Rr9Gr0avRp9Gn0aPRo9Gf0Z/Rm9Gb0ZfRl9GT0ZPRj9GP0YvRi9GH0YfRg9GD0X/Rf9F70XvRd9F30XPRc9Fv0W/Ra9Fn0WfRZ9Fj0V/RX9Fb0VvRV9FX0VPRU9FP0UvRS9FH0UfRQ9FD0T/RP9E70TvRN9Ez0TPRL9Ev0SvRK9En0SPRI9Ej0R/RG9Eb0RfRF9ET0RPRD9EP0QvRB9EH0QPRA9D/0P/Q+9D70PfQ99Dz0PPQ79Dv0OvQ69Dn0OfQ49Dj0N/Q39Db0NvQ19DX0NPQ09DP0M/Qy9DL0MfQx9DH0MPQw9C/0L/Qu9C70LvQt9C30LPQs9Cz0K/Qr9Cr0KvQp9Cn0KfQo9Cj0KPQn9Cf0J/Qm9Cb0JfQl9CX0JPQk9CT0I/Qj9CP0IvQi9CL0IvQh9CH0IfQg9CD0IPQg9B/0H/Qf9B/0HvQe9B70HvQd9B30HfQd9B30HPQc9Bz0HPQc9Bv0G/Qb9Bv0G/Qa9Br0GvQa9Br0GvQZ9Bn0GfQZ9Bn0GfQZ9Bj0GPQY9Bj0GPQY9Bj0GPQY9Bj0F/QX9Bf0F/QX9Bf0F/QX9Bf0F/QX9Bf0F/QX9Bf0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9Bb0FvQW9BX0FfQV9BX0FfQV9BX0FfQV9BX0FfQV9BX0FPQU9BT0FPQU9BT0FPQU9BT0E/QT9BP0E/QT9BP0E/QT9BL0EvQS9BL0EvQR9BH0EfQR9BH0EfQQ9BD0EPQQ9BD0EPQP9A/0D/QP9A70DvQO9A70DvQN9A30DfQN9A30DPQM9Az0DPQL9Av0C/QL9Ar0CvQK9An0CfQJ9An0CPQI9Aj0CPQH9Af0B/QG9Ab0BvQF9AX0BfQF9AT0BPQE9AP0A/QD9AP0AvQC9AL0AfQB9AH0APQA9ADz//P/8//z/vP+8/7z/fP98/3z/PP88/zz+/P78/vz+vP68/rz+vP58/nz+PP48/jz9/P38/fz9/P28/bz9vP18/Xz9fP08/Tz9PP08/Pz8/Pz8/Lz8vPy8/Hz8fPx8/Dz8PPw8/Dz7/Pv8+/z7/Pu8+7z7vPu8+3z7fPt8+3z7PPs8+zz7PPs8+vz6/Pr8+vz6/Pq8+rz6vPq8+rz6vPp8+nz6fPp8+nz6fPo8+jz6PPo8+jz6PPo8+jz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+fz5/Pn8+jz6PPo8+jz6PPo8+jz6PPp8+nz6fPp8+nz6vPq8+rz6vPq8+vz6/Pr8+vz7PPs8+zz7PPt8+3z7fPt8+7z7vPu8+/z7/Pv8/Dz8PPx8/Hz8fPy8/Lz8/Pz8/Tz9PP08/Xz9fP28/bz9/P38/jz+PP58/nz+vP68/vz/PP88/3z/fP+8/7z//QA9AD0AfQC9AL0A/QD9AT0BfQF9Ab0B/QH9Aj0CfQK9Ar0C/QM9A30DfQO9A/0EPQQ9BH0EvQT9BT0FfQV9Bb0F/QY9Bn0GvQa9Bv0HPQd9B70H/Qg9CH0IvQi9CP0JPQl9Cb0J/Qo9Cn0KvQr9Cz0LfQu9C/0MPQx9DL0M/Q09DX0NvQ39Dj0OfQ69Dv0PPQ99D70P/RA9EH0QvRD9EX0RvRH9Ej0SfRK9Ev0TPRN9E70T/RQ9FH0UvRU9FX0VvRX9Fj0WfRa9Fv0XPRd9F70YPRh9GL0Y/Rk9GX0ZvRn9Gj0afRq9Gv0bPRt9G70b/Rx9HL0cvR09HX0dvR39Hj0efR69Hv0fPR99H70f/SA9IH0gvSC9IP0hPSF9Ib0h/SI9In0ivSL9Iz0jfSN9I70j/SQ9JH0kvST9JP0lPSV9Jb0l/SY9Jj0mfSa9Jv0m/Sc9J30nfSe9J/0oPSg9KH0ovSi9KP0pPSk9KX0pfSm9Kf0p/So9Kj0qfSq9Kr0q/Sr9Kz0rPSt9K30rvSu9K70r/Sv9LD0sPSx9LH0svSy9LL0s/Sz9LP0tPS09LT0tfS19LX0tfS29Lb0tvS39Lf0t/S39Lj0uPS49Lj0uPS59Ln0ufS59Ln0uvS69Lr0uvS69Lr0uvS69Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0vPS89Lz0vPS89Lz0vPS89Lz0vPS89Lz0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0u/S79Lv0uvS69Lr0uvS69Lr0uvS69Lr0uvS69Lr0ufS59Ln0ufS59Ln0ufS59Ln0ufS59Lj0uPS49Lj0uPS49Lj0uPS49Lj0uPS39Lf0t/S39Lf0t/S39Lf0t/S39Lf0tvS29Lb0tvS29Lb0tvS29Lb0tvS29Lb0tfS19LX0tfS19LX0tfS19LX0tfS19LX0tfS09LT0tPS09LT0tPS09LT0tPS09LT0tPS09LT0s/Sz9LP0s/Sz9LP0s/Sz9LP0s/Sz9LP0s/Sy9LL0svSy9LL0svSy9LL0svSy9LL0svSx9LH0sfSx9LH0sfSx9LH0sfSx9LH0sPSw9LD0sPSw9LD0sPSw9HD0b/Rv9G/0b/Ru9G70bvRu9G70bfRt9G30bfRs9Gz0bPRs9Gz0a/Rr9Gv0a/Rr9Gr0avRq9Gr0avRp9Gn0afRp9Gn0aPRo9Gj0aPRo9Gf0Z/Rn9Gf0Z/Rn9Gb0ZvRm9Gb0ZvRl9GX0ZfRl9GX0ZPRk9GT0ZPRk9GP0Y/Rj9GP0Y/Rj9GL0YvRi9GL0YvRi9GH0YfRh9GH0YfRh9GD0YPRg9GD0YPRg9F/0X/Rf9F/0X/Rf9F/0XvRe9F70XvRe9F70XvRd9F30XfRd9F30XfRc9Fz0XPRc9Fz0XPRc9Fz0W/Rb9Fv0W/Rb9Fv0W/Rb9Fr0WvRa9Fr0WvRa9Fr0WvRa9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRW9Fb0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRZ9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0WPRY9Fj0V/RX9Ff0V/RX9Ff0V/RX9Ff0V/RX9Ff0VvRW9Fb0VvRW9Fb0VvRW9Fb0VvRV9FX0VfRV9FX0VfRV9FT0VPRU9FT0VPRU9FT0U/RT9FP0U/RT9FP0U/RS9FL0UvRS9FL0UvRR9FH0UfRR9FH0UPRQ9FD0UPRQ9FD0T/RP9E/0T/RP9E70TvRO9E70TvRN9E30TfRN9E30TPRM9Ez0TPRL9Ev0S/RL9Er0SvRK9Er0SfRJ9En0SfRI9Ej0SPRI9Ej0R/RH9Ef0R/RG9Eb0RvRG9EX0RfRF9EX0RPRE9ET0Q/RD9EP0Q/RC9EL0QvRB9EH0QfRB9ED0QPRA9ED0P/Q/9D/0P/Q+9D70PvQ99D30PfQ99Dz0PPQ89Dv0O/Q79Dv0OvQ69Dr0OfQ59Dn0OfQ49Dj0OPQ49Df0N/Q39Db0NvQ29Db0NfQ19DX0NfQ09DT0NPQz9DP0M/Qz9DL0MvQy9DH0MfQx9DH0MPQw9DD0MPQv9C/0L/Qv9C70LvQu9C30LfQt9C30LPQs9Cz0LPQr9Cv0K/Qr9Cr0KvQq9Cr0KfQp9Cn0KfQo9Cj0KPQo9Cf0J/Qn9Cf0JvQm9Cb0JvQl9CX0JfQl9CX0JPQk9CT0JPQj9CP0I/Qj9CL0IvQi9CL0IfQh9CH0IfQh9CD0IPQg9CD0H/Qf9B/0H/Qf9B70HvQe9B70HvQd9B30HfQd9B30HPQc9Bz0HPQc9Bv0G/Qb9Bv0G/Qa9Br0GvQa9Br0GfQZ9Bn0GfQZ9Bj0GPQY9Bj0GPQX9Bf0F/QX9Bf0FvQW9Bb0FvQW9Bb0FfQV9BX0FfQV9BX0FPQU9BT0FPQU9BP0E/QT9BP0E/QS9BL0EvQS9BL0EfQR9BH0EfQR9BH0EPQQ9BD0EPQQ9A/0D/QP9A/0D/QP9A70DvQO9A70DvQO9A30DfQN9A30DfQM9Az0DPQM9Az0DPQL9Av0C/QL9Av0CvQK9Ar0CvQK9An0CfQJ9An0CfQI9Aj0CPQI9Aj0CPQH9Af0B/QH9Af0BvQG9Ab0BvQG9AX0BfQF9AX0BfQF9AT0BPQE9AT0BPQD9AP0A/QD9AP0A/QC9AL0AvQC9AL0AfQB9AH0AfQB9AD0APQA9AD0APP/8//z//P/8//z/vP+8/7z/vP+8/7z/fP98/3z/fP98/3z/PP88/zz/PP88/vz+/P78/vz+/P78/rz+vP68/rz+vP68/nz+fP58/nz+fP48/jz+PP48/jz+PP48/fz9/P38/fz9/P38/bz9vP28/bz9vP28/bz9vP18/Xz9fP18/Xz9fP18/Xz9PP08/Tz9PP08/Tz9PP08/Tz9PPz8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz8/Py8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Lz8vPy8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz8/Pz9PP08/Tz9PP08/Tz9PP08/Xz9fP18/Xz9fP18/Xz9vP28/bz9vP28/fz9/P38/fz9/P48/jz+PP48/nz+fP58/nz+vP68/rz+vP78/vz+/P88/zz/PP88/3z/fP98/7z/vP+8/7z//P/8//0APQA9AD0AfQB9AL0AvQC9AP0A/QE9AT0BPQF9AX0BfQG9Ab0B/QH9Af0CPQI9An0CfQK9Ar0C/QL9Az0DPQM9A30DfQO9A70D/QP9BD0EPQR9BH0EvQS9BP0E/QU9BT0FfQV9Bb0FvQX9Bf0GPQY9Bn0GvQa9Bv0G/Qc9Bz0HfQe9B70H/Qf9CD0IPQh9CL0IvQj9CP0JPQl9CX0JvQm9Cf0KPQo9Cn0KfQq9Cv0K/Qs9C30LfQu9C/0L/Qw9DD0MfQy9DL0M/Q09DT0NfQ29Db0N/Q39Dj0OfQ59Dr0O/Q79Dz0PfQ99D70P/Q/9ED0QPRB9EL0QvRD9ET0RPRF9Eb0RvRH9Ej0SPRJ9Er0SvRL9Ez0TPRN9E70TvRP9E/0UPRR9FH0UvRT9FP0VPRU9FX0VvRW9Ff0WPRY9Fn0WfRa9Fv0W/Rc9Fz0XfRe9F70X/Rf9GD0YfRh9GL0YvRj9GP0ZPRk9GX0ZvRm9Gf0Z/Ro9Gj0afRp9Gr0avRr9Gv0bPRs9G30bfRu9G/0b/Rw9HD0cfRx9HH0cvRy9HP0c/R09HT0dfR19HX0dvR29Hf0d/R49Hj0ePR59Hn0evR69Hr0e/R79Hv0fPR89Hz0ffR99H30fvR+9H70f/R/9H/0gPSA9ID0gfSB9IH0gfSC9IL0gvSC9IP0g/SD9IP0hPSE9IT0hPSE9IX0hfSF9IX0hfSG9Ib0hvSG9Ib0hvSH9If0h/SH9If0h/SI9Ij0iPSI9Ij0iPSI9Ij0iPSI9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9In0ifSJ9Ij0iPSI9Ij0iPSI9Ij0iPSI9Ij0iPSI9If0h/SH9If0h/SH9If0h/SG9Ib0hvSG9Ib0hvSG9IX0hfSF9IX0hfSF9IX0hPSE9IT0hPSE9IT0g/SD9IP0g/SD9IP0gvSC9IL0gvSC9IL0gfSB9IH0gfSB9IH0gPSA9ID0gPSA9H/0f/R/9H/0f/R+9H70fvR+9H70ffR99H30ffR89Hz0fPR89Hz0e/R79Hv0e/R79Hr0evR69Hr0evR59Hn0efR59Hn0ePR49Hj0ePR49Hf0d/R39Hf0dvR29Hb0dvR19HX0dfR19HX0dPR09HT0dPR09HP0c/Rz9HP0cvRy9HL0cvRy9HH0cfRx9HH0cfRw9HD0cPRw9HX0dfR19HX0dfR19HX0dfR09HT0dPR09HT0dPR09HT0dPR09HT0c/Rz9HP0c/Rz9HP0c/Rz9HP0c/Rz9HL0cvRy9HL0cvRy9HL0cvRy9HL0cvRy9HL0cfRx9HH0cfRx9HH0cfRx9HH0cfRx9HH0cPRw9HD0cPRw9HD0cPRw9HD0cPRw9HD0b/Rv9G/0b/Rv9G/0b/Rv9G/0b/Rv9G/0b/Ru9G70bvRu9G70bvRu9G70bvRu9G70bvRu9G30bfRt9G30bfRt9G30bfRt9G30bfRt9G30bfRt9Gz0bPRs9Gz0bPRs9Gz0bPRs9Gz0bPRs9Gz0bPRs9Gz0bPRr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0a/Rr9Gv0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRq9Gr0avRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0afRp9Gn0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0aPRo9Gj0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rn9Gf0Z/Rm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRm9Gb0ZvRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZfRl9GX0ZPRk9GT0ZPRk9GT0ZPRk9GT0ZPRk9GT0ZPRk9GT0ZPRk9GT0Y/Rj9GP0Y/Rj9GP0Y/Rj9GP0Y/Rj9GP0Y/Rj9GP0Y/Ri9GL0YvRi9GL0YvRi9GL0YvRi9GL0YvRi9GH0YfRh9GH0YfRh9GH0YfRh9GH0YfRh9GH0YfRg9GD0YPRg9GD0YPRg9GD0YPRg9GD0YPRf9F/0X/Rf9F/0X/Rf9F/0X/Rf9F70XvRe9F70XvRe9F70XvRe9F70XvRd9F30XfRd9F30XfRd9F30XPRc9Fz0XPRc9Fz0XPRc9Fz0XPRb9Fv0W/Rb9Fv0W/Rb9Fv0W/Ra9Fr0WvRa9Fr0WvRa9Fr0WvRZ9Fn0WfRZ9Fn0WfRZ9Fn0WfRY9Fj0WPRY9Fj0WPRY9Fj0WPRX9Ff0V/RX9Ff0V/RX9Ff0VvRW9Fb0VvRW9Fb0VvRW9FX0VfRV9FX0VfRV9FX0VPRU9FT0VPRU9FT0VPRU9FP0U/RT9FP0U/RT9FP0U/RS9FL0UvRS9FL0UvRS9FL0UfRR9FH0UfRR9FH0UfRR9FD0UPRQ9FD0UPRQ9FD0UPRQ9E/0T/RP9E/0T/RP9E/0TvRO9E70TvRO9E70TvRO9E30TfRN9E30TfRN9E30TfRM9Ez0TPRM9Ez0TPRM9Ev0S/RL9Ev0S/RL9Ev0S/RK9Er0SvRK9Er0SvRK9Er0SfRJ9En0SfRJ9En0SfRJ9En0SPRI9Ej0SPRI9Ej0SPRI9Ej0R/RH9Ef0R/RH9Ef0R/RH9Eb0RvRG9Eb0RvRG9Eb0RvRG9EX0RfRF9EX0RfRF9EX0RfRF9ET0RPRE9ET0RPRE9ET0RPRD9EP0Q/RD9EP0Q/RD9EP0Q/RC9EL0QvRC9EL0QvRC9EL0QvRC9EH0QfRB9EH0QfRB9EH0QfRB9EH0QfRA9ED0QPRA9ED0QPRA9ED0QPRA9ED0QPQ/9D/0P/Q/9D/0P/Q/9D/0P/Q/9D/0P/Q+9D70PvQ+9D70PvQ+9D70PvQ+9D70PvQ+9D30PfQ99D30PfQ99D30PfQ99D30PfQ99D30PfQ99Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0OvQ69Dr0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dv0O/Q79Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ89Dz0PPQ99D30PfQ99D30PfQ99D30PfQ99D30PfQ99D70PvQ+9D70PvQ+9D70PvQ+9D70P/Q/9D/0P/Q/9D/0P/Q/9D/0QPRA9ED0QPRA9ED0QPRA9ED0QPRB9EH0QfRB9EH0QfRB9EL0QvRC9EL0QvRC9EL0Q/RD9EP0Q/RD9EP0Q/RE9ET0RPRE9ET0RPRF9EX0RfRF9EX0RfRG9Eb0RvRG9Eb0RvRH9Ef0R/RH9Ef0R/RI9Ej0SPRI9Ej0SPRJ9En0SfRJ9En0SvRK9Er0SvRK9Ev0S/RL9Ev0S/RM9Ez0TPRM9Ez0TfRN9E30TfRO9E70TvRO9E70T/RP9E/0T/RP9FD0UPRQ9FD0UPRR9FH0UfRR9FL0UvRS9FL0UvRT9FP0U/RT9FT0VPRU9FT0VPRV9FX0VfRV9Fb0VvRW9Fb0V/RX9Ff0V/RY9Fj0WPRY9Fn0WfRZ9Fn0WfRa9Fr0WvRa9Fv0W/Rb9Fv0XPRc9Fz0XPRc9F30XfRd9F70XvRe9F70XvRf9F/0X/Rf9GD0YPRg9GD0YfRh9GH0YfRh9GL0YvRi9GL0Y/Rj9GP0Y/Rk9GT0ZPRk9GX0ZfRl9GX0ZvRm9Gb0ZvRm9Gf0Z/Rn9Gf0aPRo9Gj0aPRo9Gn0afRp9Gn0afRq9Gr0avRq9Gv0a/Rr9Gv0a/Rs9Gz0bPRs9Gz0bfRt9G30bfRt9G70bvRu9G70b/Rv9G/0b/Rv9HD0cPRw9HD0cPRx9HH0cfRx9HH0cfRy9HL0cvRy9HL0cvRz9HP0c/Rz9HP0c/R09HT0dPR09HT0dPR19HX0dfR19HX0dfR29Hb0dvR29Hb0dvR39Hf0d/R39Hf0d/R39Hj0ePR49Hj0ePR49Hj0ePR59Hn0efR59Hn0efR59Hn0evR69Hr0evR69Hr0evR69Hr0evR69Hv0e/R79Hv0e/R79Hv0e/R79Hv0e/R89Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR89Hz0ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H70fvR+9H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99H30ffR99Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR89Hz0fPR79Hv0e/R79Hv0e/R79Hv0e/R79Hv0e/R79Hv0e/R69Hr0evR69Hr0evR69Hr0evR69Hr0evR69Hr0efR59Hn0efR59Hn0efR59Hn0efR59Hn0ePR49Hj0ePR49Hj0ePR49Hj0ePR49Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R29Hb0dvR29Hb0dvR29Hb0dvR29HX0dfR19Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/R39Hf0d/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datab = base64.parse(data);\nconst dt = new DataView(datab.buffer, datab.byteOffset, datab.byteLength);\n\nconst getData = (id) => {\n  return dt.getInt16(id * 2, false)\n};\n\nconst getValue = (row, col) => {\n  const k = row * NUM_COLS + col;\n\n  return getData(k) / 100\n};\n\nconst degreesToRadians = (degrees) => {\n  return degrees * (Math.PI / 180)\n};\n\nconst normalizeRadians = (rads, center = 0) => {\n  return rads - (2 * Math.PI) * Math.floor((rads + Math.PI - center) / (2 * Math.PI))\n};\n\nconst INTERVAL = degreesToRadians(15 / 60);\nconst NUM_ROWS = 721;\nconst NUM_COLS = 1440;\n\n/**\n * Gets the mean sea level according to the EGM96.\n *\n * @param {number} latitude The latitude in degrees\n * @param {number} longitude The longitude in degrees\n * @returns {number} The mean sea level in meters, relative to the WGS84 ellipsoid.\n */\nfunction meanSeaLevel (latitude, longitude) {\n  const lat = normalizeRadians(degreesToRadians(latitude));\n  if (lat > Math.PI || lat < -Math.PI) {\n    throw new Error('Invalid latitude')\n  }\n  const lon = normalizeRadians(degreesToRadians(longitude));\n\n  let topRow = Math.floor(((Math.PI / 2) - lat) / INTERVAL);\n  topRow = topRow === NUM_ROWS - 1 ? topRow - 1 : topRow;\n  const bottomRow = topRow + 1;\n\n  const leftCol = Math.floor(normalizeRadians(lon, Math.PI) / INTERVAL);\n  const rightCol = (leftCol + 1) % NUM_COLS;\n\n  const topLeft = getValue(topRow, leftCol);\n  const bottomLeft = getValue(bottomRow, leftCol);\n  const bottomRight = getValue(bottomRow, rightCol);\n  const topRight = getValue(topRow, rightCol);\n\n  const lonLeft = normalizeRadians(leftCol * INTERVAL);\n  const latTop = (Math.PI / 2) - (topRow * INTERVAL);\n\n  const leftProp = (lon - lonLeft) / INTERVAL;\n  const topProp = (latTop - lat) / INTERVAL;\n\n  return bilinearInterpolation(topLeft, bottomLeft, bottomRight, topRight, leftProp, topProp)\n}\n\nconst bilinearInterpolation = (topLeft, bottomLeft, bottomRight, topRight, x, y) => {\n  const top = linearInterpolation(topLeft, topRight, x);\n  const bottom = linearInterpolation(bottomLeft, bottomRight, x);\n\n  return linearInterpolation(top, bottom, y)\n};\n\nconst linearInterpolation = (a, b, prop) => {\n  return a + ((b - a) * prop)\n};\n\n/**\n * Converts a WGS84's ellipsoid-relative altitude to an EGM96-relative\n * altitude.\n *\n * @param {number} latitude The latitude in degrees\n * @param {number} longitude The longitude in degrees\n * @param {number} altitude The altitude relative to the WGS84's ellipsoid in meters\n * @returns {number} The altitude relative to EGM96 in meters\n */\nfunction ellipsoidToEgm96 (latitude, longitude, altitude) {\n  const ms = meanSeaLevel(latitude, longitude);\n  return altitude - ms\n}\n\n/**\n * Converts an EGM96-relative altitude to a WGS84's ellipsoid-relative\n * altitude.\n *\n * @param {number} latitude The latitude in degrees\n * @param {number} longitude The longitude in degrees\n * @param {number} altitude The altitude relative to EGM96 in meters\n * @returns {number} The altitude relative to the WGS84's ellipsoid in meters\n */\nfunction egm96ToEllipsoid (latitude, longitude, altitude) {\n  const ms = meanSeaLevel(latitude, longitude);\n  return altitude + ms\n}\n\nexport { egm96ToEllipsoid, ellipsoidToEgm96, meanSeaLevel };\n","(function (global, factory) {\n\ttypeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory(require('ol/control/Control'), require('ol/Observable'), require('ol/layer/Group')) :\n\ttypeof define === 'function' && define.amd ? define(['ol/control/Control', 'ol/Observable', 'ol/layer/Group'], factory) :\n\t(global.LayerSwitcher = factory(global.ol.control.Control,global.ol.Observable,global.ol.layer.Group));\n}(this, (function (Control,ol_Observable,LayerGroup) { 'use strict';\n\nControl = 'default' in Control ? Control['default'] : Control;\nLayerGroup = 'default' in LayerGroup ? LayerGroup['default'] : LayerGroup;\n\nvar classCallCheck = function (instance, Constructor) {\n  if (!(instance instanceof Constructor)) {\n    throw new TypeError(\"Cannot call a class as a function\");\n  }\n};\n\nvar createClass = function () {\n  function defineProperties(target, props) {\n    for (var i = 0; i < props.length; i++) {\n      var descriptor = props[i];\n      descriptor.enumerable = descriptor.enumerable || false;\n      descriptor.configurable = true;\n      if (\"value\" in descriptor) descriptor.writable = true;\n      Object.defineProperty(target, descriptor.key, descriptor);\n    }\n  }\n\n  return function (Constructor, protoProps, staticProps) {\n    if (protoProps) defineProperties(Constructor.prototype, protoProps);\n    if (staticProps) defineProperties(Constructor, staticProps);\n    return Constructor;\n  };\n}();\n\n\n\n\n\n\n\nvar get = function get(object, property, receiver) {\n  if (object === null) object = Function.prototype;\n  var desc = Object.getOwnPropertyDescriptor(object, property);\n\n  if (desc === undefined) {\n    var parent = Object.getPrototypeOf(object);\n\n    if (parent === null) {\n      return undefined;\n    } else {\n      return get(parent, property, receiver);\n    }\n  } else if (\"value\" in desc) {\n    return desc.value;\n  } else {\n    var getter = desc.get;\n\n    if (getter === undefined) {\n      return undefined;\n    }\n\n    return getter.call(receiver);\n  }\n};\n\nvar inherits = function (subClass, superClass) {\n  if (typeof superClass !== \"function\" && superClass !== null) {\n    throw new TypeError(\"Super expression must either be null or a function, not \" + typeof superClass);\n  }\n\n  subClass.prototype = Object.create(superClass && superClass.prototype, {\n    constructor: {\n      value: subClass,\n      enumerable: false,\n      writable: true,\n      configurable: true\n    }\n  });\n  if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass;\n};\n\n\n\n\n\n\n\n\n\n\n\nvar possibleConstructorReturn = function (self, call) {\n  if (!self) {\n    throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\");\n  }\n\n  return call && (typeof call === \"object\" || typeof call === \"function\") ? call : self;\n};\n\n/**\n * @protected\n */\nvar CSS_PREFIX = 'layer-switcher-';\n/**\n * OpenLayers LayerSwitcher Control, displays a list of layers and groups\n * associated with a map which have a `title` property.\n *\n * To be shown in the LayerSwitcher panel layers must have a `title` property;\n * base map layers should have a `type` property set to `base`. Group layers\n * (`LayerGroup`) can be used to visually group layers together; a group\n * with a `fold` property set to either `'open'` or `'close'` will be displayed\n * with a toggle.\n *\n * See [BaseLayerOptions](#baselayeroptions) for a full list of LayerSwitcher\n * properties for layers (`TileLayer`, `ImageLayer`, `VectorTile` etc.) and\n * [GroupLayerOptions](#grouplayeroptions) for group layer (`LayerGroup`)\n * LayerSwitcher properties.\n *\n * Layer and group properties can either be set by adding extra properties\n * to their options when they are created or via their set method.\n *\n * Specify a `title` for a Layer by adding a `title` property to it's options object:\n * ```javascript\n * var lyr = new ol.layer.Tile({\n *   // Specify a title property which will be displayed by the layer switcher\n *   title: 'OpenStreetMap',\n *   visible: true,\n *   source: new ol.source.OSM()\n * })\n * ```\n *\n * Alternatively the properties can be set via the `set` method after a layer has been created:\n * ```javascript\n * var lyr = new ol.layer.Tile({\n *   visible: true,\n *   source: new ol.source.OSM()\n * })\n * // Specify a title property which will be displayed by the layer switcher\n * lyr.set('title', 'OpenStreetMap');\n * ```\n *\n * To create a LayerSwitcher and add it to a map, create a new instance then pass it to the map's [`addControl` method](https://openlayers.org/en/latest/apidoc/module-ol_PluggableMap-PluggableMap.html#addControl).\n * ```javascript\n * var layerSwitcher = new LayerSwitcher({\n *   reverse: true,\n *   groupSelectStyle: 'group'\n * });\n * map.addControl(layerSwitcher);\n * ```\n *\n * @constructor\n * @extends {ol/control/Control~Control}\n * @param opt_options LayerSwitcher options, see  [LayerSwitcher Options](#options) and [RenderOptions](#renderoptions) which LayerSwitcher `Options` extends for more details.\n */\n\nvar LayerSwitcher = function (_Control) {\n    inherits(LayerSwitcher, _Control);\n\n    function LayerSwitcher(opt_options) {\n        classCallCheck(this, LayerSwitcher);\n\n        var options = Object.assign({}, opt_options);\n        // TODO Next: Rename to showButtonTitle\n        var tipLabel = options.tipLabel ? options.tipLabel : 'Legend';\n        // TODO Next: Rename to hideButtonTitle\n        var collapseTipLabel = options.collapseTipLabel ? options.collapseTipLabel : 'Collapse legend';\n        var element = document.createElement('div');\n\n        var _this = possibleConstructorReturn(this, (LayerSwitcher.__proto__ || Object.getPrototypeOf(LayerSwitcher)).call(this, { element: element, target: options.target }));\n\n        _this.activationMode = options.activationMode || 'mouseover';\n        _this.startActive = options.startActive === true;\n        // TODO Next: Rename to showButtonContent\n        var label = options.label !== undefined ? options.label : '';\n        // TODO Next: Rename to hideButtonContent\n        var collapseLabel = options.collapseLabel !== undefined ? options.collapseLabel : '\\xBB';\n        _this.groupSelectStyle = LayerSwitcher.getGroupSelectStyle(options.groupSelectStyle);\n        _this.reverse = options.reverse !== false;\n        _this.mapListeners = [];\n        _this.hiddenClassName = 'ol-unselectable ol-control layer-switcher';\n        if (LayerSwitcher.isTouchDevice_()) {\n            _this.hiddenClassName += ' touch';\n        }\n        _this.shownClassName = 'shown';\n        element.className = _this.hiddenClassName;\n        var button = document.createElement('button');\n        button.setAttribute('title', tipLabel);\n        button.setAttribute('aria-label', tipLabel);\n        element.appendChild(button);\n        _this.panel = document.createElement('div');\n        _this.panel.className = 'panel';\n        element.appendChild(_this.panel);\n        LayerSwitcher.enableTouchScroll_(_this.panel);\n        button.textContent = label;\n        element.classList.add(CSS_PREFIX + 'group-select-style-' + _this.groupSelectStyle);\n        element.classList.add(CSS_PREFIX + 'activation-mode-' + _this.activationMode);\n        if (_this.activationMode === 'click') {\n            // TODO Next: Remove in favour of layer-switcher-activation-mode-click\n            element.classList.add('activationModeClick');\n            if (_this.startActive) {\n                button.textContent = collapseLabel;\n                button.setAttribute('title', collapseTipLabel);\n                button.setAttribute('aria-label', collapseTipLabel);\n            }\n            button.onclick = function (e) {\n                var evt = e || window.event;\n                if (_this.element.classList.contains(_this.shownClassName)) {\n                    _this.hidePanel();\n                    button.textContent = label;\n                    button.setAttribute('title', tipLabel);\n                    button.setAttribute('aria-label', tipLabel);\n                } else {\n                    _this.showPanel();\n                    button.textContent = collapseLabel;\n                    button.setAttribute('title', collapseTipLabel);\n                    button.setAttribute('aria-label', collapseTipLabel);\n                }\n                evt.preventDefault();\n            };\n        } else {\n            button.onmouseover = function () {\n                _this.showPanel();\n            };\n            button.onclick = function (e) {\n                var evt = e || window.event;\n                _this.showPanel();\n                evt.preventDefault();\n            };\n            _this.panel.onmouseout = function (evt) {\n                if (!_this.panel.contains(evt.relatedTarget)) {\n                    _this.hidePanel();\n                }\n            };\n        }\n        return _this;\n    }\n    /**\n     * Set the map instance the control is associated with.\n     * @param map The map instance.\n     */\n\n\n    createClass(LayerSwitcher, [{\n        key: 'setMap',\n        value: function setMap(map) {\n            var _this2 = this;\n\n            // Clean up listeners associated with the previous map\n            for (var i = 0; i < this.mapListeners.length; i++) {\n                ol_Observable.unByKey(this.mapListeners[i]);\n            }\n            this.mapListeners.length = 0;\n            // Wire up listeners etc. and store reference to new map\n            get(LayerSwitcher.prototype.__proto__ || Object.getPrototypeOf(LayerSwitcher.prototype), 'setMap', this).call(this, map);\n            if (map) {\n                if (this.startActive) {\n                    this.showPanel();\n                } else {\n                    this.renderPanel();\n                }\n                if (this.activationMode !== 'click') {\n                    this.mapListeners.push(map.on('pointerdown', function () {\n                        _this2.hidePanel();\n                    }));\n                }\n            }\n        }\n        /**\n         * Show the layer panel.\n         */\n\n    }, {\n        key: 'showPanel',\n        value: function showPanel() {\n            if (!this.element.classList.contains(this.shownClassName)) {\n                this.element.classList.add(this.shownClassName);\n                this.renderPanel();\n            }\n        }\n        /**\n         * Hide the layer panel.\n         */\n\n    }, {\n        key: 'hidePanel',\n        value: function hidePanel() {\n            if (this.element.classList.contains(this.shownClassName)) {\n                this.element.classList.remove(this.shownClassName);\n            }\n        }\n        /**\n         * Re-draw the layer panel to represent the current state of the layers.\n         */\n\n    }, {\n        key: 'renderPanel',\n        value: function renderPanel() {\n            this.dispatchEvent('render');\n            LayerSwitcher.renderPanel(this.getMap(), this.panel, {\n                groupSelectStyle: this.groupSelectStyle,\n                reverse: this.reverse\n            });\n            this.dispatchEvent('rendercomplete');\n        }\n        /**\n         * **_[static]_** - Re-draw the layer panel to represent the current state of the layers.\n         * @param map The OpenLayers Map instance to render layers for\n         * @param panel The DOM Element into which the layer tree will be rendered\n         * @param options Options for panel, group, and layers\n         */\n\n    }], [{\n        key: 'renderPanel',\n        value: function renderPanel(map, panel, options) {\n            // Create the event.\n            var render_event = new Event('render');\n            // Dispatch the event.\n            panel.dispatchEvent(render_event);\n            options = options || {};\n            options.groupSelectStyle = LayerSwitcher.getGroupSelectStyle(options.groupSelectStyle);\n            LayerSwitcher.ensureTopVisibleBaseLayerShown(map, options.groupSelectStyle);\n            while (panel.firstChild) {\n                panel.removeChild(panel.firstChild);\n            }\n            // Reset indeterminate state for all layers and groups before\n            // applying based on groupSelectStyle\n            LayerSwitcher.forEachRecursive(map, function (l, _idx, _a) {\n                l.set('indeterminate', false);\n            });\n            if (options.groupSelectStyle === 'children' || options.groupSelectStyle === 'none') {\n                // Set visibile and indeterminate state of groups based on\n                // their children's visibility\n                LayerSwitcher.setGroupVisibility(map);\n            } else if (options.groupSelectStyle === 'group') {\n                // Set child indetermiate state based on their parent's visibility\n                LayerSwitcher.setChildVisibility(map);\n            }\n            var ul = document.createElement('ul');\n            panel.appendChild(ul);\n            // passing two map arguments instead of lyr as we're passing the map as the root of the layers tree\n            LayerSwitcher.renderLayers_(map, map, ul, options, function render(_changedLyr) {\n                LayerSwitcher.renderPanel(map, panel, options);\n            });\n            // Create the event.\n            var rendercomplete_event = new Event('rendercomplete');\n            // Dispatch the event.\n            panel.dispatchEvent(rendercomplete_event);\n        }\n        /**\n         * **_[static]_** - Determine if a given layer group contains base layers\n         * @param grp Group to test\n         */\n\n    }, {\n        key: 'isBaseGroup',\n        value: function isBaseGroup(grp) {\n            if (grp instanceof LayerGroup) {\n                var lyrs = grp.getLayers().getArray();\n                return lyrs.length && lyrs[0].get('type') === 'base';\n            } else {\n                return false;\n            }\n        }\n    }, {\n        key: 'setGroupVisibility',\n        value: function setGroupVisibility(map) {\n            // Get a list of groups, with the deepest first\n            var groups = LayerSwitcher.getGroupsAndLayers(map, function (l) {\n                return l instanceof LayerGroup && !l.get('combine') && !LayerSwitcher.isBaseGroup(l);\n            }).reverse();\n            // console.log(groups.map(g => g.get('title')));\n            groups.forEach(function (grp) {\n                // TODO Can we use getLayersArray, is it public in the esm build?\n                var descendantVisibility = grp.getLayersArray().map(function (l) {\n                    var state = l.getVisible();\n                    // console.log('>', l.get('title'), state);\n                    return state;\n                });\n                // console.log(descendantVisibility);\n                if (descendantVisibility.every(function (v) {\n                    return v === true;\n                })) {\n                    grp.setVisible(true);\n                    grp.set('indeterminate', false);\n                } else if (descendantVisibility.every(function (v) {\n                    return v === false;\n                })) {\n                    grp.setVisible(false);\n                    grp.set('indeterminate', false);\n                } else {\n                    grp.setVisible(true);\n                    grp.set('indeterminate', true);\n                }\n            });\n        }\n    }, {\n        key: 'setChildVisibility',\n        value: function setChildVisibility(map) {\n            // console.log('setChildVisibility');\n            var groups = LayerSwitcher.getGroupsAndLayers(map, function (l) {\n                return l instanceof LayerGroup && !l.get('combine') && !LayerSwitcher.isBaseGroup(l);\n            });\n            groups.forEach(function (grp) {\n                var group = grp;\n                // console.log(group.get('title'));\n                var groupVisible = group.getVisible();\n                var groupIndeterminate = group.get('indeterminate');\n                group.getLayers().getArray().forEach(function (l) {\n                    l.set('indeterminate', false);\n                    if ((!groupVisible || groupIndeterminate) && l.getVisible()) {\n                        l.set('indeterminate', true);\n                    }\n                });\n            });\n        }\n        /**\n         * Ensure only the top-most base layer is visible if more than one is visible.\n         * @param map The map instance.\n         * @param groupSelectStyle\n         * @protected\n         */\n\n    }, {\n        key: 'ensureTopVisibleBaseLayerShown',\n        value: function ensureTopVisibleBaseLayerShown(map, groupSelectStyle) {\n            var lastVisibleBaseLyr = void 0;\n            LayerSwitcher.forEachRecursive(map, function (lyr, _idx, _arr) {\n                if (lyr.get('type') === 'base' && lyr.getVisible()) {\n                    lastVisibleBaseLyr = lyr;\n                }\n            });\n            if (lastVisibleBaseLyr) LayerSwitcher.setVisible_(map, lastVisibleBaseLyr, true, groupSelectStyle);\n        }\n        /**\n         * **_[static]_** - Get an Array of all layers and groups displayed by the LayerSwitcher (has a `'title'` property)\n         * contained by the specified map or layer group; optionally filtering via `filterFn`\n         * @param grp The map or layer group for which layers are found.\n         * @param filterFn Optional function used to filter the returned layers\n         */\n\n    }, {\n        key: 'getGroupsAndLayers',\n        value: function getGroupsAndLayers(grp, filterFn) {\n            var layers = [];\n            filterFn = filterFn || function (_lyr, _idx, _arr) {\n                return true;\n            };\n            LayerSwitcher.forEachRecursive(grp, function (lyr, idx, arr) {\n                if (lyr.get('title')) {\n                    if (filterFn(lyr, idx, arr)) {\n                        layers.push(lyr);\n                    }\n                }\n            });\n            return layers;\n        }\n        /**\n         * Toggle the visible state of a layer.\n         * Takes care of hiding other layers in the same exclusive group if the layer\n         * is toggle to visible.\n         * @protected\n         * @param map The map instance.\n         * @param lyr layer whose visibility will be toggled.\n         * @param visible Set whether the layer is shown\n         * @param groupSelectStyle\n         * @protected\n         */\n\n    }, {\n        key: 'setVisible_',\n        value: function setVisible_(map, lyr, visible, groupSelectStyle) {\n            // console.log(lyr.get('title'), visible, groupSelectStyle);\n            lyr.setVisible(visible);\n            if (visible && lyr.get('type') === 'base') {\n                // Hide all other base layers regardless of grouping\n                LayerSwitcher.forEachRecursive(map, function (l, _idx, _arr) {\n                    if (l != lyr && l.get('type') === 'base') {\n                        l.setVisible(false);\n                    }\n                });\n            }\n            if (lyr instanceof LayerGroup && !lyr.get('combine') && groupSelectStyle === 'children') {\n                lyr.getLayers().forEach(function (l) {\n                    LayerSwitcher.setVisible_(map, l, lyr.getVisible(), groupSelectStyle);\n                });\n            }\n        }\n        /**\n         * Render all layers that are children of a group.\n         * @param map The map instance.\n         * @param lyr Layer to be rendered (should have a title property).\n         * @param idx Position in parent group list.\n         * @param options Options for groups and layers\n         * @protected\n         */\n\n    }, {\n        key: 'renderLayer_',\n        value: function renderLayer_(map, lyr, idx, options, render) {\n            var li = document.createElement('li');\n            var lyrTitle = lyr.get('title');\n            var checkboxId = LayerSwitcher.uuid();\n            var label = document.createElement('label');\n            if (lyr instanceof LayerGroup && !lyr.get('combine')) {\n                var isBaseGroup = LayerSwitcher.isBaseGroup(lyr);\n                li.classList.add('group');\n                if (isBaseGroup) {\n                    li.classList.add(CSS_PREFIX + 'base-group');\n                }\n                // Group folding\n                if (lyr.get('fold')) {\n                    li.classList.add(CSS_PREFIX + 'fold');\n                    li.classList.add(CSS_PREFIX + lyr.get('fold'));\n                    var btn = document.createElement('button');\n                    btn.onclick = function (e) {\n                        var evt = e || window.event;\n                        LayerSwitcher.toggleFold_(lyr, li);\n                        evt.preventDefault();\n                    };\n                    li.appendChild(btn);\n                }\n                if (!isBaseGroup && options.groupSelectStyle != 'none') {\n                    var input = document.createElement('input');\n                    input.type = 'checkbox';\n                    input.id = checkboxId;\n                    input.checked = lyr.getVisible();\n                    input.indeterminate = lyr.get('indeterminate');\n                    input.onchange = function (e) {\n                        var target = e.target;\n                        LayerSwitcher.setVisible_(map, lyr, target.checked, options.groupSelectStyle);\n                        render(lyr);\n                    };\n                    li.appendChild(input);\n                    label.htmlFor = checkboxId;\n                }\n                label.innerHTML = lyrTitle;\n                li.appendChild(label);\n                var ul = document.createElement('ul');\n                li.appendChild(ul);\n                LayerSwitcher.renderLayers_(map, lyr, ul, options, render);\n            } else {\n                li.className = 'layer';\n                var _input = document.createElement('input');\n                if (lyr.get('type') === 'base') {\n                    _input.type = 'radio';\n                    _input.name = 'base';\n                } else {\n                    _input.type = 'checkbox';\n                }\n                _input.id = checkboxId;\n                _input.checked = lyr.get('visible');\n                _input.indeterminate = lyr.get('indeterminate');\n                _input.onchange = function (e) {\n                    var target = e.target;\n                    LayerSwitcher.setVisible_(map, lyr, target.checked, options.groupSelectStyle);\n                    render(lyr);\n                };\n                li.appendChild(_input);\n                label.htmlFor = checkboxId;\n                label.innerHTML = lyrTitle;\n                var rsl = map.getView().getResolution();\n                if (rsl > lyr.getMaxResolution() || rsl < lyr.getMinResolution()) {\n                    label.className += ' disabled';\n                }\n                li.appendChild(label);\n            }\n            return li;\n        }\n        /**\n         * Render all layers that are children of a group.\n         * @param map The map instance.\n         * @param lyr Group layer whose children will be rendered.\n         * @param elm DOM element that children will be appended to.\n         * @param options Options for groups and layers\n         * @protected\n         */\n\n    }, {\n        key: 'renderLayers_',\n        value: function renderLayers_(map, lyr, elm, options, render) {\n            var lyrs = lyr.getLayers().getArray().slice();\n            if (options.reverse) lyrs = lyrs.reverse();\n            for (var i = 0, l; i < lyrs.length; i++) {\n                l = lyrs[i];\n                if (l.get('title')) {\n                    elm.appendChild(LayerSwitcher.renderLayer_(map, l, i, options, render));\n                }\n            }\n        }\n        /**\n         * **_[static]_** - Call the supplied function for each layer in the passed layer group\n         * recursing nested groups.\n         * @param lyr The layer group to start iterating from.\n         * @param fn Callback which will be called for each layer\n         * found under `lyr`.\n         */\n\n    }, {\n        key: 'forEachRecursive',\n        value: function forEachRecursive(lyr, fn) {\n            lyr.getLayers().forEach(function (lyr, idx, a) {\n                fn(lyr, idx, a);\n                if (lyr instanceof LayerGroup) {\n                    LayerSwitcher.forEachRecursive(lyr, fn);\n                }\n            });\n        }\n        /**\n         * **_[static]_** - Generate a UUID\n         * Adapted from http://stackoverflow.com/a/2117523/526860\n         * @returns {String} UUID\n         */\n\n    }, {\n        key: 'uuid',\n        value: function uuid() {\n            return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function (c) {\n                var r = Math.random() * 16 | 0,\n                    v = c == 'x' ? r : r & 0x3 | 0x8;\n                return v.toString(16);\n            });\n        }\n        /**\n         * Apply workaround to enable scrolling of overflowing content within an\n         * element. Adapted from https://gist.github.com/chrismbarr/4107472\n         * @param elm Element on which to enable touch scrolling\n         * @protected\n         */\n\n    }, {\n        key: 'enableTouchScroll_',\n        value: function enableTouchScroll_(elm) {\n            if (LayerSwitcher.isTouchDevice_()) {\n                var scrollStartPos = 0;\n                elm.addEventListener('touchstart', function (event) {\n                    scrollStartPos = this.scrollTop + event.touches[0].pageY;\n                }, false);\n                elm.addEventListener('touchmove', function (event) {\n                    this.scrollTop = scrollStartPos - event.touches[0].pageY;\n                }, false);\n            }\n        }\n        /**\n         * Determine if the current browser supports touch events. Adapted from\n         * https://gist.github.com/chrismbarr/4107472\n         * @returns {Boolean} True if client can have 'TouchEvent' event\n         * @protected\n         */\n\n    }, {\n        key: 'isTouchDevice_',\n        value: function isTouchDevice_() {\n            try {\n                document.createEvent('TouchEvent');\n                return true;\n            } catch (e) {\n                return false;\n            }\n        }\n        /**\n         * Fold/unfold layer group\n         * @param lyr Layer group to fold/unfold\n         * @param li List item containing layer group\n         * @protected\n         */\n\n    }, {\n        key: 'toggleFold_',\n        value: function toggleFold_(lyr, li) {\n            li.classList.remove(CSS_PREFIX + lyr.get('fold'));\n            lyr.set('fold', lyr.get('fold') === 'open' ? 'close' : 'open');\n            li.classList.add(CSS_PREFIX + lyr.get('fold'));\n        }\n        /**\n         * If a valid groupSelectStyle value is not provided then return the default\n         * @param groupSelectStyle The string to check for validity\n         * @returns The value groupSelectStyle, if valid, the default otherwise\n         * @protected\n         */\n\n    }, {\n        key: 'getGroupSelectStyle',\n        value: function getGroupSelectStyle(groupSelectStyle) {\n            return ['none', 'children', 'group'].indexOf(groupSelectStyle) >= 0 ? groupSelectStyle : 'children';\n        }\n    }]);\n    return LayerSwitcher;\n}(Control);\nif (window['ol'] && window['ol']['control']) {\n    window['ol']['control']['LayerSwitcher'] = LayerSwitcher;\n}\n\nreturn LayerSwitcher;\n\n})));\n","/**\n * @module ol/format/Feature\n */\nimport Units from '../proj/Units.js';\nimport { abstract } from '../util.js';\nimport { assign } from '../obj.js';\nimport { equivalent as equivalentProjection, get as getProjection, transformExtent, } from '../proj.js';\n/**\n * @typedef {Object} ReadOptions\n * @property {import(\"../proj.js\").ProjectionLike} [dataProjection] Projection of the data we are reading.\n * If not provided, the projection will be derived from the data (where possible) or\n * the `dataProjection` of the format is assigned (where set). If the projection\n * can not be derived from the data and if no `dataProjection` is set for a format,\n * the features will not be reprojected.\n * @property {import(\"../extent.js\").Extent} [extent] Tile extent in map units of the tile being read.\n * This is only required when reading data with tile pixels as geometry units. When configured,\n * a `dataProjection` with `TILE_PIXELS` as `units` and the tile's pixel extent as `extent` needs to be\n * provided.\n * @property {import(\"../proj.js\").ProjectionLike} [featureProjection] Projection of the feature geometries\n * created by the format reader. If not provided, features will be returned in the\n * `dataProjection`.\n */\n/**\n * @typedef {Object} WriteOptions\n * @property {import(\"../proj.js\").ProjectionLike} [dataProjection] Projection of the data we are writing.\n * If not provided, the `dataProjection` of the format is assigned (where set).\n * If no `dataProjection` is set for a format, the features will be returned\n * in the `featureProjection`.\n * @property {import(\"../proj.js\").ProjectionLike} [featureProjection] Projection of the feature geometries\n * that will be serialized by the format writer. If not provided, geometries are assumed\n * to be in the `dataProjection` if that is set; in other words, they are not transformed.\n * @property {boolean} [rightHanded] When writing geometries, follow the right-hand\n * rule for linear ring orientation.  This means that polygons will have counter-clockwise\n * exterior rings and clockwise interior rings.  By default, coordinates are serialized\n * as they are provided at construction.  If `true`, the right-hand rule will\n * be applied.  If `false`, the left-hand rule will be applied (clockwise for\n * exterior and counter-clockwise for interior rings).  Note that not all\n * formats support this.  The GeoJSON format does use this property when writing\n * geometries.\n * @property {number} [decimals] Maximum number of decimal places for coordinates.\n * Coordinates are stored internally as floats, but floating-point arithmetic can create\n * coordinates with a large number of decimal places, not generally wanted on output.\n * Set a number here to round coordinates. Can also be used to ensure that\n * coordinates read in can be written back out with the same number of decimals.\n * Default is no rounding.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for feature formats.\n * {@link module:ol/format/Feature~FeatureFormat} subclasses provide the ability to decode and encode\n * {@link module:ol/Feature~Feature} objects from a variety of commonly used geospatial\n * file formats.  See the documentation for each format for more details.\n *\n * @abstract\n * @api\n */\nvar FeatureFormat = /** @class */ (function () {\n    function FeatureFormat() {\n        /**\n         * @protected\n         * @type {import(\"../proj/Projection.js\").default|undefined}\n         */\n        this.dataProjection = undefined;\n        /**\n         * @protected\n         * @type {import(\"../proj/Projection.js\").default|undefined}\n         */\n        this.defaultFeatureProjection = undefined;\n        /**\n         * A list media types supported by the format in descending order of preference.\n         * @type {Array<string>}\n         */\n        this.supportedMediaTypes = null;\n    }\n    /**\n     * Adds the data projection to the read options.\n     * @param {Document|Element|Object|string} source Source.\n     * @param {ReadOptions} [opt_options] Options.\n     * @return {ReadOptions|undefined} Options.\n     * @protected\n     */\n    FeatureFormat.prototype.getReadOptions = function (source, opt_options) {\n        var options;\n        if (opt_options) {\n            var dataProjection = opt_options.dataProjection\n                ? getProjection(opt_options.dataProjection)\n                : this.readProjection(source);\n            if (opt_options.extent &&\n                dataProjection &&\n                dataProjection.getUnits() === Units.TILE_PIXELS) {\n                dataProjection = getProjection(dataProjection);\n                dataProjection.setWorldExtent(opt_options.extent);\n            }\n            options = {\n                dataProjection: dataProjection,\n                featureProjection: opt_options.featureProjection,\n            };\n        }\n        return this.adaptOptions(options);\n    };\n    /**\n     * Sets the `dataProjection` on the options, if no `dataProjection`\n     * is set.\n     * @param {WriteOptions|ReadOptions|undefined} options\n     *     Options.\n     * @protected\n     * @return {WriteOptions|ReadOptions|undefined}\n     *     Updated options.\n     */\n    FeatureFormat.prototype.adaptOptions = function (options) {\n        return assign({\n            dataProjection: this.dataProjection,\n            featureProjection: this.defaultFeatureProjection,\n        }, options);\n    };\n    /**\n     * @abstract\n     * @return {import(\"./FormatType.js\").default} Format.\n     */\n    FeatureFormat.prototype.getType = function () {\n        return abstract();\n    };\n    /**\n     * Read a single feature from a source.\n     *\n     * @abstract\n     * @param {Document|Element|Object|string} source Source.\n     * @param {ReadOptions} [opt_options] Read options.\n     * @return {import(\"../Feature.js\").FeatureLike} Feature.\n     */\n    FeatureFormat.prototype.readFeature = function (source, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read all features from a source.\n     *\n     * @abstract\n     * @param {Document|Element|ArrayBuffer|Object|string} source Source.\n     * @param {ReadOptions} [opt_options] Read options.\n     * @return {Array<import(\"../Feature.js\").FeatureLike>} Features.\n     */\n    FeatureFormat.prototype.readFeatures = function (source, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read a single geometry from a source.\n     *\n     * @abstract\n     * @param {Document|Element|Object|string} source Source.\n     * @param {ReadOptions} [opt_options] Read options.\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    FeatureFormat.prototype.readGeometry = function (source, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read the projection from a source.\n     *\n     * @abstract\n     * @param {Document|Element|Object|string} source Source.\n     * @return {import(\"../proj/Projection.js\").default|undefined} Projection.\n     */\n    FeatureFormat.prototype.readProjection = function (source) {\n        return abstract();\n    };\n    /**\n     * Encode a feature in this format.\n     *\n     * @abstract\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {WriteOptions} [opt_options] Write options.\n     * @return {string|ArrayBuffer} Result.\n     */\n    FeatureFormat.prototype.writeFeature = function (feature, opt_options) {\n        return abstract();\n    };\n    /**\n     * Encode an array of features in this format.\n     *\n     * @abstract\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {WriteOptions} [opt_options] Write options.\n     * @return {string|ArrayBuffer} Result.\n     */\n    FeatureFormat.prototype.writeFeatures = function (features, opt_options) {\n        return abstract();\n    };\n    /**\n     * Write a single geometry in this format.\n     *\n     * @abstract\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {WriteOptions} [opt_options] Write options.\n     * @return {string|ArrayBuffer} Result.\n     */\n    FeatureFormat.prototype.writeGeometry = function (geometry, opt_options) {\n        return abstract();\n    };\n    return FeatureFormat;\n}());\nexport default FeatureFormat;\n/**\n * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n * @param {boolean} write Set to true for writing, false for reading.\n * @param {WriteOptions|ReadOptions} [opt_options] Options.\n * @return {import(\"../geom/Geometry.js\").default} Transformed geometry.\n */\nexport function transformGeometryWithOptions(geometry, write, opt_options) {\n    var featureProjection = opt_options\n        ? getProjection(opt_options.featureProjection)\n        : null;\n    var dataProjection = opt_options\n        ? getProjection(opt_options.dataProjection)\n        : null;\n    var transformed;\n    if (featureProjection &&\n        dataProjection &&\n        !equivalentProjection(featureProjection, dataProjection)) {\n        transformed = (write ? geometry.clone() : geometry).transform(write ? featureProjection : dataProjection, write ? dataProjection : featureProjection);\n    }\n    else {\n        transformed = geometry;\n    }\n    if (write &&\n        opt_options &&\n        /** @type {WriteOptions} */ (opt_options).decimals !== undefined) {\n        var power_1 = Math.pow(10, \n        /** @type {WriteOptions} */ (opt_options).decimals);\n        // if decimals option on write, round each coordinate appropriately\n        /**\n         * @param {Array<number>} coordinates Coordinates.\n         * @return {Array<number>} Transformed coordinates.\n         */\n        var transform = function (coordinates) {\n            for (var i = 0, ii = coordinates.length; i < ii; ++i) {\n                coordinates[i] = Math.round(coordinates[i] * power_1) / power_1;\n            }\n            return coordinates;\n        };\n        if (transformed === geometry) {\n            transformed = geometry.clone();\n        }\n        transformed.applyTransform(transform);\n    }\n    return transformed;\n}\n/**\n * @param {import(\"../extent.js\").Extent} extent Extent.\n * @param {ReadOptions} [opt_options] Read options.\n * @return {import(\"../extent.js\").Extent} Transformed extent.\n */\nexport function transformExtentWithOptions(extent, opt_options) {\n    var featureProjection = opt_options\n        ? getProjection(opt_options.featureProjection)\n        : null;\n    var dataProjection = opt_options\n        ? getProjection(opt_options.dataProjection)\n        : null;\n    if (featureProjection &&\n        dataProjection &&\n        !equivalentProjection(featureProjection, dataProjection)) {\n        return transformExtent(extent, dataProjection, featureProjection);\n    }\n    else {\n        return extent;\n    }\n}\n//# sourceMappingURL=Feature.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/format/JSONFeature\n */\nimport FeatureFormat from './Feature.js';\nimport FormatType from './FormatType.js';\nimport { abstract } from '../util.js';\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for JSON feature formats.\n *\n * @abstract\n */\nvar JSONFeature = /** @class */ (function (_super) {\n    __extends(JSONFeature, _super);\n    function JSONFeature() {\n        return _super.call(this) || this;\n    }\n    /**\n     * @return {import(\"./FormatType.js\").default} Format.\n     */\n    JSONFeature.prototype.getType = function () {\n        return FormatType.JSON;\n    };\n    /**\n     * Read a feature.  Only works for a single feature. Use `readFeatures` to\n     * read a feature collection.\n     *\n     * @param {ArrayBuffer|Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {import(\"../Feature.js\").default} Feature.\n     * @api\n     */\n    JSONFeature.prototype.readFeature = function (source, opt_options) {\n        return this.readFeatureFromObject(getObject(source), this.getReadOptions(source, opt_options));\n    };\n    /**\n     * Read all features.  Works with both a single feature and a feature\n     * collection.\n     *\n     * @param {ArrayBuffer|Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     * @api\n     */\n    JSONFeature.prototype.readFeatures = function (source, opt_options) {\n        return this.readFeaturesFromObject(getObject(source), this.getReadOptions(source, opt_options));\n    };\n    /**\n     * @abstract\n     * @param {Object} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {import(\"../Feature.js\").default} Feature.\n     */\n    JSONFeature.prototype.readFeatureFromObject = function (object, opt_options) {\n        return abstract();\n    };\n    /**\n     * @abstract\n     * @param {Object} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     */\n    JSONFeature.prototype.readFeaturesFromObject = function (object, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read a geometry.\n     *\n     * @param {ArrayBuffer|Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     * @api\n     */\n    JSONFeature.prototype.readGeometry = function (source, opt_options) {\n        return this.readGeometryFromObject(getObject(source), this.getReadOptions(source, opt_options));\n    };\n    /**\n     * @abstract\n     * @param {Object} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    JSONFeature.prototype.readGeometryFromObject = function (object, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read the projection.\n     *\n     * @param {ArrayBuffer|Document|Element|Object|string} source Source.\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     * @api\n     */\n    JSONFeature.prototype.readProjection = function (source) {\n        return this.readProjectionFromObject(getObject(source));\n    };\n    /**\n     * @abstract\n     * @param {Object} object Object.\n     * @protected\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     */\n    JSONFeature.prototype.readProjectionFromObject = function (object) {\n        return abstract();\n    };\n    /**\n     * Encode a feature as string.\n     *\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Encoded feature.\n     * @api\n     */\n    JSONFeature.prototype.writeFeature = function (feature, opt_options) {\n        return JSON.stringify(this.writeFeatureObject(feature, opt_options));\n    };\n    /**\n     * @abstract\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {Object} Object.\n     */\n    JSONFeature.prototype.writeFeatureObject = function (feature, opt_options) {\n        return abstract();\n    };\n    /**\n     * Encode an array of features as string.\n     *\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Encoded features.\n     * @api\n     */\n    JSONFeature.prototype.writeFeatures = function (features, opt_options) {\n        return JSON.stringify(this.writeFeaturesObject(features, opt_options));\n    };\n    /**\n     * @abstract\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {Object} Object.\n     */\n    JSONFeature.prototype.writeFeaturesObject = function (features, opt_options) {\n        return abstract();\n    };\n    /**\n     * Encode a geometry as string.\n     *\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Encoded geometry.\n     * @api\n     */\n    JSONFeature.prototype.writeGeometry = function (geometry, opt_options) {\n        return JSON.stringify(this.writeGeometryObject(geometry, opt_options));\n    };\n    /**\n     * @abstract\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {Object} Object.\n     */\n    JSONFeature.prototype.writeGeometryObject = function (geometry, opt_options) {\n        return abstract();\n    };\n    return JSONFeature;\n}(FeatureFormat));\n/**\n * @param {Document|Element|Object|string} source Source.\n * @return {Object} Object.\n */\nfunction getObject(source) {\n    if (typeof source === 'string') {\n        var object = JSON.parse(source);\n        return object ? /** @type {Object} */ (object) : null;\n    }\n    else if (source !== null) {\n        return source;\n    }\n    else {\n        return null;\n    }\n}\nexport default JSONFeature;\n//# sourceMappingURL=JSONFeature.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/geom/GeometryCollection\n */\nimport EventType from '../events/EventType.js';\nimport Geometry from './Geometry.js';\nimport GeometryType from './GeometryType.js';\nimport { closestSquaredDistanceXY, createOrUpdateEmpty, extend, getCenter, } from '../extent.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @classdesc\n * An array of {@link module:ol/geom/Geometry} objects.\n *\n * @api\n */\nvar GeometryCollection = /** @class */ (function (_super) {\n    __extends(GeometryCollection, _super);\n    /**\n     * @param {Array<Geometry>} [opt_geometries] Geometries.\n     */\n    function GeometryCollection(opt_geometries) {\n        var _this = _super.call(this) || this;\n        /**\n         * @private\n         * @type {Array<Geometry>}\n         */\n        _this.geometries_ = opt_geometries ? opt_geometries : null;\n        /**\n         * @type {Array<import(\"../events.js\").EventsKey>}\n         */\n        _this.changeEventsKeys_ = [];\n        _this.listenGeometriesChange_();\n        return _this;\n    }\n    /**\n     * @private\n     */\n    GeometryCollection.prototype.unlistenGeometriesChange_ = function () {\n        this.changeEventsKeys_.forEach(unlistenByKey);\n        this.changeEventsKeys_.length = 0;\n    };\n    /**\n     * @private\n     */\n    GeometryCollection.prototype.listenGeometriesChange_ = function () {\n        if (!this.geometries_) {\n            return;\n        }\n        for (var i = 0, ii = this.geometries_.length; i < ii; ++i) {\n            this.changeEventsKeys_.push(listen(this.geometries_[i], EventType.CHANGE, this.changed, this));\n        }\n    };\n    /**\n     * Make a complete copy of the geometry.\n     * @return {!GeometryCollection} Clone.\n     * @api\n     */\n    GeometryCollection.prototype.clone = function () {\n        var geometryCollection = new GeometryCollection(null);\n        geometryCollection.setGeometries(this.geometries_);\n        geometryCollection.applyProperties(this);\n        return geometryCollection;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {import(\"../coordinate.js\").Coordinate} closestPoint Closest point.\n     * @param {number} minSquaredDistance Minimum squared distance.\n     * @return {number} Minimum squared distance.\n     */\n    GeometryCollection.prototype.closestPointXY = function (x, y, closestPoint, minSquaredDistance) {\n        if (minSquaredDistance < closestSquaredDistanceXY(this.getExtent(), x, y)) {\n            return minSquaredDistance;\n        }\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            minSquaredDistance = geometries[i].closestPointXY(x, y, closestPoint, minSquaredDistance);\n        }\n        return minSquaredDistance;\n    };\n    /**\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @return {boolean} Contains (x, y).\n     */\n    GeometryCollection.prototype.containsXY = function (x, y) {\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            if (geometries[i].containsXY(x, y)) {\n                return true;\n            }\n        }\n        return false;\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @protected\n     * @return {import(\"../extent.js\").Extent} extent Extent.\n     */\n    GeometryCollection.prototype.computeExtent = function (extent) {\n        createOrUpdateEmpty(extent);\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            extend(extent, geometries[i].getExtent());\n        }\n        return extent;\n    };\n    /**\n     * Return the geometries that make up this geometry collection.\n     * @return {Array<Geometry>} Geometries.\n     * @api\n     */\n    GeometryCollection.prototype.getGeometries = function () {\n        return cloneGeometries(this.geometries_);\n    };\n    /**\n     * @return {Array<Geometry>} Geometries.\n     */\n    GeometryCollection.prototype.getGeometriesArray = function () {\n        return this.geometries_;\n    };\n    /**\n     * @return {Array<Geometry>} Geometries.\n     */\n    GeometryCollection.prototype.getGeometriesArrayRecursive = function () {\n        /** @type {Array<Geometry>} */\n        var geometriesArray = [];\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            if (geometries[i].getType() === this.getType()) {\n                geometriesArray = geometriesArray.concat(\n                /** @type {GeometryCollection} */ (geometries[i]).getGeometriesArrayRecursive());\n            }\n            else {\n                geometriesArray.push(geometries[i]);\n            }\n        }\n        return geometriesArray;\n    };\n    /**\n     * Create a simplified version of this geometry using the Douglas Peucker algorithm.\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {GeometryCollection} Simplified GeometryCollection.\n     */\n    GeometryCollection.prototype.getSimplifiedGeometry = function (squaredTolerance) {\n        if (this.simplifiedGeometryRevision !== this.getRevision()) {\n            this.simplifiedGeometryMaxMinSquaredTolerance = 0;\n            this.simplifiedGeometryRevision = this.getRevision();\n        }\n        if (squaredTolerance < 0 ||\n            (this.simplifiedGeometryMaxMinSquaredTolerance !== 0 &&\n                squaredTolerance < this.simplifiedGeometryMaxMinSquaredTolerance)) {\n            return this;\n        }\n        var simplifiedGeometries = [];\n        var geometries = this.geometries_;\n        var simplified = false;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            var geometry = geometries[i];\n            var simplifiedGeometry = geometry.getSimplifiedGeometry(squaredTolerance);\n            simplifiedGeometries.push(simplifiedGeometry);\n            if (simplifiedGeometry !== geometry) {\n                simplified = true;\n            }\n        }\n        if (simplified) {\n            var simplifiedGeometryCollection = new GeometryCollection(null);\n            simplifiedGeometryCollection.setGeometriesArray(simplifiedGeometries);\n            return simplifiedGeometryCollection;\n        }\n        else {\n            this.simplifiedGeometryMaxMinSquaredTolerance = squaredTolerance;\n            return this;\n        }\n    };\n    /**\n     * Get the type of this geometry.\n     * @return {import(\"./GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    GeometryCollection.prototype.getType = function () {\n        return GeometryType.GEOMETRY_COLLECTION;\n    };\n    /**\n     * Test if the geometry and the passed extent intersect.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {boolean} `true` if the geometry and the extent intersect.\n     * @api\n     */\n    GeometryCollection.prototype.intersectsExtent = function (extent) {\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            if (geometries[i].intersectsExtent(extent)) {\n                return true;\n            }\n        }\n        return false;\n    };\n    /**\n     * @return {boolean} Is empty.\n     */\n    GeometryCollection.prototype.isEmpty = function () {\n        return this.geometries_.length === 0;\n    };\n    /**\n     * Rotate the geometry around a given coordinate. This modifies the geometry\n     * coordinates in place.\n     * @param {number} angle Rotation angle in radians.\n     * @param {import(\"../coordinate.js\").Coordinate} anchor The rotation center.\n     * @api\n     */\n    GeometryCollection.prototype.rotate = function (angle, anchor) {\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            geometries[i].rotate(angle, anchor);\n        }\n        this.changed();\n    };\n    /**\n     * Scale the geometry (with an optional origin).  This modifies the geometry\n     * coordinates in place.\n     * @abstract\n     * @param {number} sx The scaling factor in the x-direction.\n     * @param {number} [opt_sy] The scaling factor in the y-direction (defaults to sx).\n     * @param {import(\"../coordinate.js\").Coordinate} [opt_anchor] The scale origin (defaults to the center\n     *     of the geometry extent).\n     * @api\n     */\n    GeometryCollection.prototype.scale = function (sx, opt_sy, opt_anchor) {\n        var anchor = opt_anchor;\n        if (!anchor) {\n            anchor = getCenter(this.getExtent());\n        }\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            geometries[i].scale(sx, opt_sy, anchor);\n        }\n        this.changed();\n    };\n    /**\n     * Set the geometries that make up this geometry collection.\n     * @param {Array<Geometry>} geometries Geometries.\n     * @api\n     */\n    GeometryCollection.prototype.setGeometries = function (geometries) {\n        this.setGeometriesArray(cloneGeometries(geometries));\n    };\n    /**\n     * @param {Array<Geometry>} geometries Geometries.\n     */\n    GeometryCollection.prototype.setGeometriesArray = function (geometries) {\n        this.unlistenGeometriesChange_();\n        this.geometries_ = geometries;\n        this.listenGeometriesChange_();\n        this.changed();\n    };\n    /**\n     * Apply a transform function to the coordinates of the geometry.\n     * The geometry is modified in place.\n     * If you do not want the geometry modified in place, first `clone()` it and\n     * then use this function on the clone.\n     * @param {import(\"../proj.js\").TransformFunction} transformFn Transform function.\n     * Called with a flat array of geometry coordinates.\n     * @api\n     */\n    GeometryCollection.prototype.applyTransform = function (transformFn) {\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            geometries[i].applyTransform(transformFn);\n        }\n        this.changed();\n    };\n    /**\n     * Translate the geometry.  This modifies the geometry coordinates in place.  If\n     * instead you want a new geometry, first `clone()` this geometry.\n     * @param {number} deltaX Delta X.\n     * @param {number} deltaY Delta Y.\n     * @api\n     */\n    GeometryCollection.prototype.translate = function (deltaX, deltaY) {\n        var geometries = this.geometries_;\n        for (var i = 0, ii = geometries.length; i < ii; ++i) {\n            geometries[i].translate(deltaX, deltaY);\n        }\n        this.changed();\n    };\n    /**\n     * Clean up.\n     */\n    GeometryCollection.prototype.disposeInternal = function () {\n        this.unlistenGeometriesChange_();\n        _super.prototype.disposeInternal.call(this);\n    };\n    return GeometryCollection;\n}(Geometry));\n/**\n * @param {Array<Geometry>} geometries Geometries.\n * @return {Array<Geometry>} Cloned geometries.\n */\nfunction cloneGeometries(geometries) {\n    var clonedGeometries = [];\n    for (var i = 0, ii = geometries.length; i < ii; ++i) {\n        clonedGeometries.push(geometries[i].clone());\n    }\n    return clonedGeometries;\n}\nexport default GeometryCollection;\n//# sourceMappingURL=GeometryCollection.js.map","/**\n * @module ol/format/GeoJSON\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport Feature from '../Feature.js';\nimport GeometryCollection from '../geom/GeometryCollection.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport JSONFeature from './JSONFeature.js';\nimport LineString from '../geom/LineString.js';\nimport MultiLineString from '../geom/MultiLineString.js';\nimport MultiPoint from '../geom/MultiPoint.js';\nimport MultiPolygon from '../geom/MultiPolygon.js';\nimport Point from '../geom/Point.js';\nimport Polygon from '../geom/Polygon.js';\nimport { assert } from '../asserts.js';\nimport { assign, isEmpty } from '../obj.js';\nimport { get as getProjection } from '../proj.js';\nimport { transformGeometryWithOptions } from './Feature.js';\n/**\n * @typedef {import(\"geojson\").GeoJSON} GeoJSONObject\n * @typedef {import(\"geojson\").Feature} GeoJSONFeature\n * @typedef {import(\"geojson\").FeatureCollection} GeoJSONFeatureCollection\n * @typedef {import(\"geojson\").Geometry} GeoJSONGeometry\n * @typedef {import(\"geojson\").Point} GeoJSONPoint\n * @typedef {import(\"geojson\").LineString} GeoJSONLineString\n * @typedef {import(\"geojson\").Polygon} GeoJSONPolygon\n * @typedef {import(\"geojson\").MultiPoint} GeoJSONMultiPoint\n * @typedef {import(\"geojson\").MultiLineString} GeoJSONMultiLineString\n * @typedef {import(\"geojson\").MultiPolygon} GeoJSONMultiPolygon\n * @typedef {import(\"geojson\").GeometryCollection} GeoJSONGeometryCollection\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"../proj.js\").ProjectionLike} [dataProjection='EPSG:4326'] Default data projection.\n * @property {import(\"../proj.js\").ProjectionLike} [featureProjection] Projection for features read or\n * written by the format.  Options passed to read or write methods will take precedence.\n * @property {string} [geometryName] Geometry name to use when creating features.\n * @property {boolean} [extractGeometryName=false] Certain GeoJSON providers include\n * the geometry_name field in the feature GeoJSON. If set to `true` the GeoJSON reader\n * will look for that field to set the geometry name. If both this field is set to `true`\n * and a `geometryName` is provided, the `geometryName` will take precedence.\n */\n/**\n * @classdesc\n * Feature format for reading and writing data in the GeoJSON format.\n *\n * @api\n */\nvar GeoJSON = /** @class */ (function (_super) {\n    __extends(GeoJSON, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function GeoJSON(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this) || this;\n        /**\n         * @type {import(\"../proj/Projection.js\").default}\n         */\n        _this.dataProjection = getProjection(options.dataProjection ? options.dataProjection : 'EPSG:4326');\n        if (options.featureProjection) {\n            _this.defaultFeatureProjection = getProjection(options.featureProjection);\n        }\n        /**\n         * Name of the geometry attribute for features.\n         * @type {string|undefined}\n         * @private\n         */\n        _this.geometryName_ = options.geometryName;\n        /**\n         * Look for the geometry name in the feature GeoJSON\n         * @type {boolean|undefined}\n         * @private\n         */\n        _this.extractGeometryName_ = options.extractGeometryName;\n        _this.supportedMediaTypes = [\n            'application/geo+json',\n            'application/vnd.geo+json',\n        ];\n        return _this;\n    }\n    /**\n     * @param {Object} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {import(\"../Feature.js\").default} Feature.\n     */\n    GeoJSON.prototype.readFeatureFromObject = function (object, opt_options) {\n        /**\n         * @type {GeoJSONFeature}\n         */\n        var geoJSONFeature = null;\n        if (object['type'] === 'Feature') {\n            geoJSONFeature = /** @type {GeoJSONFeature} */ (object);\n        }\n        else {\n            geoJSONFeature = {\n                'type': 'Feature',\n                'geometry': /** @type {GeoJSONGeometry} */ (object),\n                'properties': null,\n            };\n        }\n        var geometry = readGeometry(geoJSONFeature['geometry'], opt_options);\n        var feature = new Feature();\n        if (this.geometryName_) {\n            feature.setGeometryName(this.geometryName_);\n        }\n        else if (this.extractGeometryName_ &&\n            'geometry_name' in geoJSONFeature !== undefined) {\n            feature.setGeometryName(geoJSONFeature['geometry_name']);\n        }\n        feature.setGeometry(geometry);\n        if ('id' in geoJSONFeature) {\n            feature.setId(geoJSONFeature['id']);\n        }\n        if (geoJSONFeature['properties']) {\n            feature.setProperties(geoJSONFeature['properties'], true);\n        }\n        return feature;\n    };\n    /**\n     * @param {Object} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {Array<Feature>} Features.\n     */\n    GeoJSON.prototype.readFeaturesFromObject = function (object, opt_options) {\n        var geoJSONObject = /** @type {GeoJSONObject} */ (object);\n        /** @type {Array<import(\"../Feature.js\").default>} */\n        var features = null;\n        if (geoJSONObject['type'] === 'FeatureCollection') {\n            var geoJSONFeatureCollection = /** @type {GeoJSONFeatureCollection} */ (object);\n            features = [];\n            var geoJSONFeatures = geoJSONFeatureCollection['features'];\n            for (var i = 0, ii = geoJSONFeatures.length; i < ii; ++i) {\n                features.push(this.readFeatureFromObject(geoJSONFeatures[i], opt_options));\n            }\n        }\n        else {\n            features = [this.readFeatureFromObject(object, opt_options)];\n        }\n        return features;\n    };\n    /**\n     * @param {GeoJSONGeometry} object Object.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @protected\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    GeoJSON.prototype.readGeometryFromObject = function (object, opt_options) {\n        return readGeometry(object, opt_options);\n    };\n    /**\n     * @param {Object} object Object.\n     * @protected\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     */\n    GeoJSON.prototype.readProjectionFromObject = function (object) {\n        var crs = object['crs'];\n        var projection;\n        if (crs) {\n            if (crs['type'] == 'name') {\n                projection = getProjection(crs['properties']['name']);\n            }\n            else if (crs['type'] === 'EPSG') {\n                projection = getProjection('EPSG:' + crs['properties']['code']);\n            }\n            else {\n                assert(false, 36); // Unknown SRS type\n            }\n        }\n        else {\n            projection = this.dataProjection;\n        }\n        return /** @type {import(\"../proj/Projection.js\").default} */ (projection);\n    };\n    /**\n     * Encode a feature as a GeoJSON Feature object.\n     *\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {GeoJSONFeature} Object.\n     * @api\n     */\n    GeoJSON.prototype.writeFeatureObject = function (feature, opt_options) {\n        opt_options = this.adaptOptions(opt_options);\n        /** @type {GeoJSONFeature} */\n        var object = {\n            'type': 'Feature',\n            geometry: null,\n            properties: null,\n        };\n        var id = feature.getId();\n        if (id !== undefined) {\n            object.id = id;\n        }\n        if (!feature.hasProperties()) {\n            return object;\n        }\n        var properties = feature.getProperties();\n        var geometry = feature.getGeometry();\n        if (geometry) {\n            object.geometry = writeGeometry(geometry, opt_options);\n            delete properties[feature.getGeometryName()];\n        }\n        if (!isEmpty(properties)) {\n            object.properties = properties;\n        }\n        return object;\n    };\n    /**\n     * Encode an array of features as a GeoJSON object.\n     *\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {GeoJSONFeatureCollection} GeoJSON Object.\n     * @api\n     */\n    GeoJSON.prototype.writeFeaturesObject = function (features, opt_options) {\n        opt_options = this.adaptOptions(opt_options);\n        var objects = [];\n        for (var i = 0, ii = features.length; i < ii; ++i) {\n            objects.push(this.writeFeatureObject(features[i], opt_options));\n        }\n        return {\n            type: 'FeatureCollection',\n            features: objects,\n        };\n    };\n    /**\n     * Encode a geometry as a GeoJSON object.\n     *\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {GeoJSONGeometry|GeoJSONGeometryCollection} Object.\n     * @api\n     */\n    GeoJSON.prototype.writeGeometryObject = function (geometry, opt_options) {\n        return writeGeometry(geometry, this.adaptOptions(opt_options));\n    };\n    return GeoJSON;\n}(JSONFeature));\n/**\n * @param {GeoJSONGeometry|GeoJSONGeometryCollection} object Object.\n * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n * @return {import(\"../geom/Geometry.js\").default} Geometry.\n */\nfunction readGeometry(object, opt_options) {\n    if (!object) {\n        return null;\n    }\n    /**\n     * @type {import(\"../geom/Geometry.js\").default}\n     */\n    var geometry;\n    switch (object['type']) {\n        case GeometryType.POINT: {\n            geometry = readPointGeometry(/** @type {GeoJSONPoint} */ (object));\n            break;\n        }\n        case GeometryType.LINE_STRING: {\n            geometry = readLineStringGeometry(\n            /** @type {GeoJSONLineString} */ (object));\n            break;\n        }\n        case GeometryType.POLYGON: {\n            geometry = readPolygonGeometry(/** @type {GeoJSONPolygon} */ (object));\n            break;\n        }\n        case GeometryType.MULTI_POINT: {\n            geometry = readMultiPointGeometry(\n            /** @type {GeoJSONMultiPoint} */ (object));\n            break;\n        }\n        case GeometryType.MULTI_LINE_STRING: {\n            geometry = readMultiLineStringGeometry(\n            /** @type {GeoJSONMultiLineString} */ (object));\n            break;\n        }\n        case GeometryType.MULTI_POLYGON: {\n            geometry = readMultiPolygonGeometry(\n            /** @type {GeoJSONMultiPolygon} */ (object));\n            break;\n        }\n        case GeometryType.GEOMETRY_COLLECTION: {\n            geometry = readGeometryCollectionGeometry(\n            /** @type {GeoJSONGeometryCollection} */ (object));\n            break;\n        }\n        default: {\n            throw new Error('Unsupported GeoJSON type: ' + object.type);\n        }\n    }\n    return transformGeometryWithOptions(geometry, false, opt_options);\n}\n/**\n * @param {GeoJSONGeometryCollection} object Object.\n * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n * @return {GeometryCollection} Geometry collection.\n */\nfunction readGeometryCollectionGeometry(object, opt_options) {\n    var geometries = object['geometries'].map(\n    /**\n     * @param {GeoJSONGeometry} geometry Geometry.\n     * @return {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     */\n    function (geometry) {\n        return readGeometry(geometry, opt_options);\n    });\n    return new GeometryCollection(geometries);\n}\n/**\n * @param {GeoJSONPoint} object Object.\n * @return {Point} Point.\n */\nfunction readPointGeometry(object) {\n    return new Point(object['coordinates']);\n}\n/**\n * @param {GeoJSONLineString} object Object.\n * @return {LineString} LineString.\n */\nfunction readLineStringGeometry(object) {\n    return new LineString(object['coordinates']);\n}\n/**\n * @param {GeoJSONMultiLineString} object Object.\n * @return {MultiLineString} MultiLineString.\n */\nfunction readMultiLineStringGeometry(object) {\n    return new MultiLineString(object['coordinates']);\n}\n/**\n * @param {GeoJSONMultiPoint} object Object.\n * @return {MultiPoint} MultiPoint.\n */\nfunction readMultiPointGeometry(object) {\n    return new MultiPoint(object['coordinates']);\n}\n/**\n * @param {GeoJSONMultiPolygon} object Object.\n * @return {MultiPolygon} MultiPolygon.\n */\nfunction readMultiPolygonGeometry(object) {\n    return new MultiPolygon(object['coordinates']);\n}\n/**\n * @param {GeoJSONPolygon} object Object.\n * @return {Polygon} Polygon.\n */\nfunction readPolygonGeometry(object) {\n    return new Polygon(object['coordinates']);\n}\n/**\n * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writeGeometry(geometry, opt_options) {\n    geometry = transformGeometryWithOptions(geometry, true, opt_options);\n    var type = geometry.getType();\n    /** @type {GeoJSONGeometry} */\n    var geoJSON;\n    switch (type) {\n        case GeometryType.POINT: {\n            geoJSON = writePointGeometry(\n            /** @type {Point} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.LINE_STRING: {\n            geoJSON = writeLineStringGeometry(\n            /** @type {LineString} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.POLYGON: {\n            geoJSON = writePolygonGeometry(\n            /** @type {Polygon} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.MULTI_POINT: {\n            geoJSON = writeMultiPointGeometry(\n            /** @type {MultiPoint} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.MULTI_LINE_STRING: {\n            geoJSON = writeMultiLineStringGeometry(\n            /** @type {MultiLineString} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.MULTI_POLYGON: {\n            geoJSON = writeMultiPolygonGeometry(\n            /** @type {MultiPolygon} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.GEOMETRY_COLLECTION: {\n            geoJSON = writeGeometryCollectionGeometry(\n            /** @type {GeometryCollection} */ (geometry), opt_options);\n            break;\n        }\n        case GeometryType.CIRCLE: {\n            geoJSON = {\n                type: 'GeometryCollection',\n                geometries: [],\n            };\n            break;\n        }\n        default: {\n            throw new Error('Unsupported geometry type: ' + type);\n        }\n    }\n    return geoJSON;\n}\n/**\n * @param {GeometryCollection} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometryCollection} GeoJSON geometry collection.\n */\nfunction writeGeometryCollectionGeometry(geometry, opt_options) {\n    var geometries = geometry.getGeometriesArray().map(function (geometry) {\n        var options = assign({}, opt_options);\n        delete options.featureProjection;\n        return writeGeometry(geometry, options);\n    });\n    return {\n        type: 'GeometryCollection',\n        geometries: geometries,\n    };\n}\n/**\n * @param {LineString} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writeLineStringGeometry(geometry, opt_options) {\n    return {\n        type: 'LineString',\n        coordinates: geometry.getCoordinates(),\n    };\n}\n/**\n * @param {MultiLineString} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writeMultiLineStringGeometry(geometry, opt_options) {\n    return {\n        type: 'MultiLineString',\n        coordinates: geometry.getCoordinates(),\n    };\n}\n/**\n * @param {MultiPoint} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writeMultiPointGeometry(geometry, opt_options) {\n    return {\n        type: 'MultiPoint',\n        coordinates: geometry.getCoordinates(),\n    };\n}\n/**\n * @param {MultiPolygon} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writeMultiPolygonGeometry(geometry, opt_options) {\n    var right;\n    if (opt_options) {\n        right = opt_options.rightHanded;\n    }\n    return {\n        type: 'MultiPolygon',\n        coordinates: geometry.getCoordinates(right),\n    };\n}\n/**\n * @param {Point} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writePointGeometry(geometry, opt_options) {\n    return {\n        type: 'Point',\n        coordinates: geometry.getCoordinates(),\n    };\n}\n/**\n * @param {Polygon} geometry Geometry.\n * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n * @return {GeoJSONGeometry} GeoJSON geometry.\n */\nfunction writePolygonGeometry(geometry, opt_options) {\n    var right;\n    if (opt_options) {\n        right = opt_options.rightHanded;\n    }\n    return {\n        type: 'Polygon',\n        coordinates: geometry.getCoordinates(right),\n    };\n}\nexport default GeoJSON;\n//# sourceMappingURL=GeoJSON.js.map","/**\n * @module ol/xml\n */\nimport { extend } from './array.js';\n/**\n * When using {@link module:ol/xml.makeChildAppender} or\n * {@link module:ol/xml.makeSimpleNodeFactory}, the top `objectStack` item needs\n * to have this structure.\n * @typedef {Object} NodeStackItem\n * @property {Node} node Node.\n */\n/**\n * @typedef {function(Element, Array<*>): void} Parser\n */\n/**\n * @typedef {function(Element, *, Array<*>): void} Serializer\n */\n/**\n * @type {string}\n */\nexport var XML_SCHEMA_INSTANCE_URI = 'http://www.w3.org/2001/XMLSchema-instance';\n/**\n * @param {string} namespaceURI Namespace URI.\n * @param {string} qualifiedName Qualified name.\n * @return {Element} Node.\n */\nexport function createElementNS(namespaceURI, qualifiedName) {\n    return getDocument().createElementNS(namespaceURI, qualifiedName);\n}\n/**\n * Recursively grab all text content of child nodes into a single string.\n * @param {Node} node Node.\n * @param {boolean} normalizeWhitespace Normalize whitespace: remove all line\n * breaks.\n * @return {string} All text content.\n * @api\n */\nexport function getAllTextContent(node, normalizeWhitespace) {\n    return getAllTextContent_(node, normalizeWhitespace, []).join('');\n}\n/**\n * Recursively grab all text content of child nodes into a single string.\n * @param {Node} node Node.\n * @param {boolean} normalizeWhitespace Normalize whitespace: remove all line\n * breaks.\n * @param {Array<string>} accumulator Accumulator.\n * @private\n * @return {Array<string>} Accumulator.\n */\nexport function getAllTextContent_(node, normalizeWhitespace, accumulator) {\n    if (node.nodeType == Node.CDATA_SECTION_NODE ||\n        node.nodeType == Node.TEXT_NODE) {\n        if (normalizeWhitespace) {\n            accumulator.push(String(node.nodeValue).replace(/(\\r\\n|\\r|\\n)/g, ''));\n        }\n        else {\n            accumulator.push(node.nodeValue);\n        }\n    }\n    else {\n        var n = void 0;\n        for (n = node.firstChild; n; n = n.nextSibling) {\n            getAllTextContent_(n, normalizeWhitespace, accumulator);\n        }\n    }\n    return accumulator;\n}\n/**\n * @param {Object} object Object.\n * @return {boolean} Is a document.\n */\nexport function isDocument(object) {\n    return 'documentElement' in object;\n}\n/**\n * @param {Element} node Node.\n * @param {?string} namespaceURI Namespace URI.\n * @param {string} name Attribute name.\n * @return {string} Value\n */\nexport function getAttributeNS(node, namespaceURI, name) {\n    return node.getAttributeNS(namespaceURI, name) || '';\n}\n/**\n * Parse an XML string to an XML Document.\n * @param {string} xml XML.\n * @return {Document} Document.\n * @api\n */\nexport function parse(xml) {\n    return new DOMParser().parseFromString(xml, 'application/xml');\n}\n/**\n * Make an array extender function for extending the array at the top of the\n * object stack.\n * @param {function(this: T, Node, Array<*>): (Array<*>|undefined)} valueReader Value reader.\n * @param {T} [opt_this] The object to use as `this` in `valueReader`.\n * @return {Parser} Parser.\n * @template T\n */\nexport function makeArrayExtender(valueReader, opt_this) {\n    return (\n    /**\n     * @param {Node} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     */\n    function (node, objectStack) {\n        var value = valueReader.call(opt_this !== undefined ? opt_this : this, node, objectStack);\n        if (value !== undefined) {\n            var array = /** @type {Array<*>} */ (objectStack[objectStack.length - 1]);\n            extend(array, value);\n        }\n    });\n}\n/**\n * Make an array pusher function for pushing to the array at the top of the\n * object stack.\n * @param {function(this: T, Element, Array<*>): *} valueReader Value reader.\n * @param {T} [opt_this] The object to use as `this` in `valueReader`.\n * @return {Parser} Parser.\n * @template T\n */\nexport function makeArrayPusher(valueReader, opt_this) {\n    return (\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     */\n    function (node, objectStack) {\n        var value = valueReader.call(opt_this !== undefined ? opt_this : this, node, objectStack);\n        if (value !== undefined) {\n            var array = /** @type {Array<*>} */ (objectStack[objectStack.length - 1]);\n            array.push(value);\n        }\n    });\n}\n/**\n * Make an object stack replacer function for replacing the object at the\n * top of the stack.\n * @param {function(this: T, Node, Array<*>): *} valueReader Value reader.\n * @param {T} [opt_this] The object to use as `this` in `valueReader`.\n * @return {Parser} Parser.\n * @template T\n */\nexport function makeReplacer(valueReader, opt_this) {\n    return (\n    /**\n     * @param {Node} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     */\n    function (node, objectStack) {\n        var value = valueReader.call(opt_this !== undefined ? opt_this : this, node, objectStack);\n        if (value !== undefined) {\n            objectStack[objectStack.length - 1] = value;\n        }\n    });\n}\n/**\n * Make an object property pusher function for adding a property to the\n * object at the top of the stack.\n * @param {function(this: T, Element, Array<*>): *} valueReader Value reader.\n * @param {string} [opt_property] Property.\n * @param {T} [opt_this] The object to use as `this` in `valueReader`.\n * @return {Parser} Parser.\n * @template T\n */\nexport function makeObjectPropertyPusher(valueReader, opt_property, opt_this) {\n    return (\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     */\n    function (node, objectStack) {\n        var value = valueReader.call(opt_this !== undefined ? opt_this : this, node, objectStack);\n        if (value !== undefined) {\n            var object = /** @type {!Object} */ (objectStack[objectStack.length - 1]);\n            var property = opt_property !== undefined ? opt_property : node.localName;\n            var array = void 0;\n            if (property in object) {\n                array = object[property];\n            }\n            else {\n                array = [];\n                object[property] = array;\n            }\n            array.push(value);\n        }\n    });\n}\n/**\n * Make an object property setter function.\n * @param {function(this: T, Element, Array<*>): *} valueReader Value reader.\n * @param {string} [opt_property] Property.\n * @param {T} [opt_this] The object to use as `this` in `valueReader`.\n * @return {Parser} Parser.\n * @template T\n */\nexport function makeObjectPropertySetter(valueReader, opt_property, opt_this) {\n    return (\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     */\n    function (node, objectStack) {\n        var value = valueReader.call(opt_this !== undefined ? opt_this : this, node, objectStack);\n        if (value !== undefined) {\n            var object = /** @type {!Object} */ (objectStack[objectStack.length - 1]);\n            var property = opt_property !== undefined ? opt_property : node.localName;\n            object[property] = value;\n        }\n    });\n}\n/**\n * Create a serializer that appends nodes written by its `nodeWriter` to its\n * designated parent. The parent is the `node` of the\n * {@link module:ol/xml~NodeStackItem} at the top of the `objectStack`.\n * @param {function(this: T, Node, V, Array<*>): void} nodeWriter Node writer.\n * @param {T} [opt_this] The object to use as `this` in `nodeWriter`.\n * @return {Serializer} Serializer.\n * @template T, V\n */\nexport function makeChildAppender(nodeWriter, opt_this) {\n    return function (node, value, objectStack) {\n        nodeWriter.call(opt_this !== undefined ? opt_this : this, node, value, objectStack);\n        var parent = /** @type {NodeStackItem} */ (objectStack[objectStack.length - 1]);\n        var parentNode = parent.node;\n        parentNode.appendChild(node);\n    };\n}\n/**\n * Create a serializer that calls the provided `nodeWriter` from\n * {@link module:ol/xml.serialize}. This can be used by the parent writer to have the\n * 'nodeWriter' called with an array of values when the `nodeWriter` was\n * designed to serialize a single item. An example would be a LineString\n * geometry writer, which could be reused for writing MultiLineString\n * geometries.\n * @param {function(this: T, Element, V, Array<*>): void} nodeWriter Node writer.\n * @param {T} [opt_this] The object to use as `this` in `nodeWriter`.\n * @return {Serializer} Serializer.\n * @template T, V\n */\nexport function makeArraySerializer(nodeWriter, opt_this) {\n    var serializersNS, nodeFactory;\n    return function (node, value, objectStack) {\n        if (serializersNS === undefined) {\n            serializersNS = {};\n            var serializers = {};\n            serializers[node.localName] = nodeWriter;\n            serializersNS[node.namespaceURI] = serializers;\n            nodeFactory = makeSimpleNodeFactory(node.localName);\n        }\n        serialize(serializersNS, nodeFactory, value, objectStack);\n    };\n}\n/**\n * Create a node factory which can use the `opt_keys` passed to\n * {@link module:ol/xml.serialize} or {@link module:ol/xml.pushSerializeAndPop} as node names,\n * or a fixed node name. The namespace of the created nodes can either be fixed,\n * or the parent namespace will be used.\n * @param {string} [opt_nodeName] Fixed node name which will be used for all\n *     created nodes. If not provided, the 3rd argument to the resulting node\n *     factory needs to be provided and will be the nodeName.\n * @param {string} [opt_namespaceURI] Fixed namespace URI which will be used for\n *     all created nodes. If not provided, the namespace of the parent node will\n *     be used.\n * @return {function(*, Array<*>, string=): (Node|undefined)} Node factory.\n */\nexport function makeSimpleNodeFactory(opt_nodeName, opt_namespaceURI) {\n    var fixedNodeName = opt_nodeName;\n    return (\n    /**\n     * @param {*} value Value.\n     * @param {Array<*>} objectStack Object stack.\n     * @param {string} [opt_nodeName] Node name.\n     * @return {Node} Node.\n     */\n    function (value, objectStack, opt_nodeName) {\n        var context = /** @type {NodeStackItem} */ (objectStack[objectStack.length - 1]);\n        var node = context.node;\n        var nodeName = fixedNodeName;\n        if (nodeName === undefined) {\n            nodeName = opt_nodeName;\n        }\n        var namespaceURI = opt_namespaceURI !== undefined ? opt_namespaceURI : node.namespaceURI;\n        return createElementNS(namespaceURI, /** @type {string} */ (nodeName));\n    });\n}\n/**\n * A node factory that creates a node using the parent's `namespaceURI` and the\n * `nodeName` passed by {@link module:ol/xml.serialize} or\n * {@link module:ol/xml.pushSerializeAndPop} to the node factory.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nexport var OBJECT_PROPERTY_NODE_FACTORY = makeSimpleNodeFactory();\n/**\n * Create an array of `values` to be used with {@link module:ol/xml.serialize} or\n * {@link module:ol/xml.pushSerializeAndPop}, where `orderedKeys` has to be provided as\n * `opt_key` argument.\n * @param {Object<string, *>} object Key-value pairs for the sequence. Keys can\n *     be a subset of the `orderedKeys`.\n * @param {Array<string>} orderedKeys Keys in the order of the sequence.\n * @return {Array<*>} Values in the order of the sequence. The resulting array\n *     has the same length as the `orderedKeys` array. Values that are not\n *     present in `object` will be `undefined` in the resulting array.\n */\nexport function makeSequence(object, orderedKeys) {\n    var length = orderedKeys.length;\n    var sequence = new Array(length);\n    for (var i = 0; i < length; ++i) {\n        sequence[i] = object[orderedKeys[i]];\n    }\n    return sequence;\n}\n/**\n * Create a namespaced structure, using the same values for each namespace.\n * This can be used as a starting point for versioned parsers, when only a few\n * values are version specific.\n * @param {Array<string>} namespaceURIs Namespace URIs.\n * @param {T} structure Structure.\n * @param {Object<string, T>} [opt_structureNS] Namespaced structure to add to.\n * @return {Object<string, T>} Namespaced structure.\n * @template T\n */\nexport function makeStructureNS(namespaceURIs, structure, opt_structureNS) {\n    /**\n     * @type {Object<string, T>}\n     */\n    var structureNS = opt_structureNS !== undefined ? opt_structureNS : {};\n    var i, ii;\n    for (i = 0, ii = namespaceURIs.length; i < ii; ++i) {\n        structureNS[namespaceURIs[i]] = structure;\n    }\n    return structureNS;\n}\n/**\n * Parse a node using the parsers and object stack.\n * @param {Object<string, Object<string, Parser>>} parsersNS\n *     Parsers by namespace.\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @param {*} [opt_this] The object to use as `this`.\n */\nexport function parseNode(parsersNS, node, objectStack, opt_this) {\n    var n;\n    for (n = node.firstElementChild; n; n = n.nextElementSibling) {\n        var parsers = parsersNS[n.namespaceURI];\n        if (parsers !== undefined) {\n            var parser = parsers[n.localName];\n            if (parser !== undefined) {\n                parser.call(opt_this, n, objectStack);\n            }\n        }\n    }\n}\n/**\n * Push an object on top of the stack, parse and return the popped object.\n * @param {T} object Object.\n * @param {Object<string, Object<string, Parser>>} parsersNS\n *     Parsers by namespace.\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @param {*} [opt_this] The object to use as `this`.\n * @return {T} Object.\n * @template T\n */\nexport function pushParseAndPop(object, parsersNS, node, objectStack, opt_this) {\n    objectStack.push(object);\n    parseNode(parsersNS, node, objectStack, opt_this);\n    return /** @type {T} */ (objectStack.pop());\n}\n/**\n * Walk through an array of `values` and call a serializer for each value.\n * @param {Object<string, Object<string, Serializer>>} serializersNS\n *     Namespaced serializers.\n * @param {function(this: T, *, Array<*>, (string|undefined)): (Node|undefined)} nodeFactory\n *     Node factory. The `nodeFactory` creates the node whose namespace and name\n *     will be used to choose a node writer from `serializersNS`. This\n *     separation allows us to decide what kind of node to create, depending on\n *     the value we want to serialize. An example for this would be different\n *     geometry writers based on the geometry type.\n * @param {Array<*>} values Values to serialize. An example would be an array\n *     of {@link module:ol/Feature~Feature} instances.\n * @param {Array<*>} objectStack Node stack.\n * @param {Array<string>} [opt_keys] Keys of the `values`. Will be passed to the\n *     `nodeFactory`. This is used for serializing object literals where the\n *     node name relates to the property key. The array length of `opt_keys` has\n *     to match the length of `values`. For serializing a sequence, `opt_keys`\n *     determines the order of the sequence.\n * @param {T} [opt_this] The object to use as `this` for the node factory and\n *     serializers.\n * @template T\n */\nexport function serialize(serializersNS, nodeFactory, values, objectStack, opt_keys, opt_this) {\n    var length = (opt_keys !== undefined ? opt_keys : values).length;\n    var value, node;\n    for (var i = 0; i < length; ++i) {\n        value = values[i];\n        if (value !== undefined) {\n            node = nodeFactory.call(opt_this !== undefined ? opt_this : this, value, objectStack, opt_keys !== undefined ? opt_keys[i] : undefined);\n            if (node !== undefined) {\n                serializersNS[node.namespaceURI][node.localName].call(opt_this, node, value, objectStack);\n            }\n        }\n    }\n}\n/**\n * @param {O} object Object.\n * @param {Object<string, Object<string, Serializer>>} serializersNS\n *     Namespaced serializers.\n * @param {function(this: T, *, Array<*>, (string|undefined)): (Node|undefined)} nodeFactory\n *     Node factory. The `nodeFactory` creates the node whose namespace and name\n *     will be used to choose a node writer from `serializersNS`. This\n *     separation allows us to decide what kind of node to create, depending on\n *     the value we want to serialize. An example for this would be different\n *     geometry writers based on the geometry type.\n * @param {Array<*>} values Values to serialize. An example would be an array\n *     of {@link module:ol/Feature~Feature} instances.\n * @param {Array<*>} objectStack Node stack.\n * @param {Array<string>} [opt_keys] Keys of the `values`. Will be passed to the\n *     `nodeFactory`. This is used for serializing object literals where the\n *     node name relates to the property key. The array length of `opt_keys` has\n *     to match the length of `values`. For serializing a sequence, `opt_keys`\n *     determines the order of the sequence.\n * @param {T} [opt_this] The object to use as `this` for the node factory and\n *     serializers.\n * @return {O|undefined} Object.\n * @template O, T\n */\nexport function pushSerializeAndPop(object, serializersNS, nodeFactory, values, objectStack, opt_keys, opt_this) {\n    objectStack.push(object);\n    serialize(serializersNS, nodeFactory, values, objectStack, opt_keys, opt_this);\n    return /** @type {O|undefined} */ (objectStack.pop());\n}\nvar xmlSerializer_ = undefined;\n/**\n * Register a XMLSerializer. Can be used  to inject a XMLSerializer\n * where there is no globally available implementation.\n *\n * @param {XMLSerializer} xmlSerializer A XMLSerializer.\n * @api\n */\nexport function registerXMLSerializer(xmlSerializer) {\n    xmlSerializer_ = xmlSerializer;\n}\n/**\n * @return {XMLSerializer} The XMLSerializer.\n */\nexport function getXMLSerializer() {\n    if (xmlSerializer_ === undefined && typeof XMLSerializer !== 'undefined') {\n        xmlSerializer_ = new XMLSerializer();\n    }\n    return xmlSerializer_;\n}\nvar document_ = undefined;\n/**\n * Register a Document to use when creating nodes for XML serializations. Can be used\n * to inject a Document where there is no globally available implementation.\n *\n * @param {Document} document A Document.\n * @api\n */\nexport function registerDocument(document) {\n    document_ = document;\n}\n/**\n * Get a document that should be used when creating nodes for XML serializations.\n * @return {Document} The document.\n */\nexport function getDocument() {\n    if (document_ === undefined && typeof document !== 'undefined') {\n        document_ = document.implementation.createDocument('', '', null);\n    }\n    return document_;\n}\n//# sourceMappingURL=xml.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/format/XMLFeature\n */\nimport FeatureFormat from '../format/Feature.js';\nimport FormatType from '../format/FormatType.js';\nimport { abstract } from '../util.js';\nimport { extend } from '../array.js';\nimport { getXMLSerializer, isDocument, parse } from '../xml.js';\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for XML feature formats.\n *\n * @abstract\n */\nvar XMLFeature = /** @class */ (function (_super) {\n    __extends(XMLFeature, _super);\n    function XMLFeature() {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {XMLSerializer}\n         * @private\n         */\n        _this.xmlSerializer_ = getXMLSerializer();\n        return _this;\n    }\n    /**\n     * @return {import(\"./FormatType.js\").default} Format.\n     */\n    XMLFeature.prototype.getType = function () {\n        return FormatType.XML;\n    };\n    /**\n     * Read a single feature.\n     *\n     * @param {Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {import(\"../Feature.js\").default} Feature.\n     * @api\n     */\n    XMLFeature.prototype.readFeature = function (source, opt_options) {\n        if (!source) {\n            return null;\n        }\n        else if (typeof source === 'string') {\n            var doc = parse(source);\n            return this.readFeatureFromDocument(doc, opt_options);\n        }\n        else if (isDocument(source)) {\n            return this.readFeatureFromDocument(\n            /** @type {Document} */ (source), opt_options);\n        }\n        else {\n            return this.readFeatureFromNode(\n            /** @type {Element} */ (source), opt_options);\n        }\n    };\n    /**\n     * @param {Document} doc Document.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @return {import(\"../Feature.js\").default} Feature.\n     */\n    XMLFeature.prototype.readFeatureFromDocument = function (doc, opt_options) {\n        var features = this.readFeaturesFromDocument(doc, opt_options);\n        if (features.length > 0) {\n            return features[0];\n        }\n        else {\n            return null;\n        }\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @return {import(\"../Feature.js\").default} Feature.\n     */\n    XMLFeature.prototype.readFeatureFromNode = function (node, opt_options) {\n        return null; // not implemented\n    };\n    /**\n     * Read all features from a feature collection.\n     *\n     * @param {Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     * @api\n     */\n    XMLFeature.prototype.readFeatures = function (source, opt_options) {\n        if (!source) {\n            return [];\n        }\n        else if (typeof source === 'string') {\n            var doc = parse(source);\n            return this.readFeaturesFromDocument(doc, opt_options);\n        }\n        else if (isDocument(source)) {\n            return this.readFeaturesFromDocument(\n            /** @type {Document} */ (source), opt_options);\n        }\n        else {\n            return this.readFeaturesFromNode(\n            /** @type {Element} */ (source), opt_options);\n        }\n    };\n    /**\n     * @param {Document} doc Document.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @protected\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     */\n    XMLFeature.prototype.readFeaturesFromDocument = function (doc, opt_options) {\n        /** @type {Array<import(\"../Feature.js\").default>} */\n        var features = [];\n        for (var n = doc.firstChild; n; n = n.nextSibling) {\n            if (n.nodeType == Node.ELEMENT_NODE) {\n                extend(features, this.readFeaturesFromNode(/** @type {Element} */ (n), opt_options));\n            }\n        }\n        return features;\n    };\n    /**\n     * @abstract\n     * @param {Element} node Node.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @protected\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     */\n    XMLFeature.prototype.readFeaturesFromNode = function (node, opt_options) {\n        return abstract();\n    };\n    /**\n     * Read a single geometry from a source.\n     *\n     * @param {Document|Element|Object|string} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    XMLFeature.prototype.readGeometry = function (source, opt_options) {\n        if (!source) {\n            return null;\n        }\n        else if (typeof source === 'string') {\n            var doc = parse(source);\n            return this.readGeometryFromDocument(doc, opt_options);\n        }\n        else if (isDocument(source)) {\n            return this.readGeometryFromDocument(\n            /** @type {Document} */ (source), opt_options);\n        }\n        else {\n            return this.readGeometryFromNode(\n            /** @type {Element} */ (source), opt_options);\n        }\n    };\n    /**\n     * @param {Document} doc Document.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @protected\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    XMLFeature.prototype.readGeometryFromDocument = function (doc, opt_options) {\n        return null; // not implemented\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @protected\n     * @return {import(\"../geom/Geometry.js\").default} Geometry.\n     */\n    XMLFeature.prototype.readGeometryFromNode = function (node, opt_options) {\n        return null; // not implemented\n    };\n    /**\n     * Read the projection from the source.\n     *\n     * @param {Document|Element|Object|string} source Source.\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     * @api\n     */\n    XMLFeature.prototype.readProjection = function (source) {\n        if (!source) {\n            return null;\n        }\n        else if (typeof source === 'string') {\n            var doc = parse(source);\n            return this.readProjectionFromDocument(doc);\n        }\n        else if (isDocument(source)) {\n            return this.readProjectionFromDocument(/** @type {Document} */ (source));\n        }\n        else {\n            return this.readProjectionFromNode(/** @type {Element} */ (source));\n        }\n    };\n    /**\n     * @param {Document} doc Document.\n     * @protected\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     */\n    XMLFeature.prototype.readProjectionFromDocument = function (doc) {\n        return this.dataProjection;\n    };\n    /**\n     * @param {Element} node Node.\n     * @protected\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     */\n    XMLFeature.prototype.readProjectionFromNode = function (node) {\n        return this.dataProjection;\n    };\n    /**\n     * Encode a feature as string.\n     *\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Encoded feature.\n     */\n    XMLFeature.prototype.writeFeature = function (feature, opt_options) {\n        var node = this.writeFeatureNode(feature, opt_options);\n        return this.xmlSerializer_.serializeToString(node);\n    };\n    /**\n     * @param {import(\"../Feature.js\").default} feature Feature.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Options.\n     * @protected\n     * @return {Node} Node.\n     */\n    XMLFeature.prototype.writeFeatureNode = function (feature, opt_options) {\n        return null; // not implemented\n    };\n    /**\n     * Encode an array of features as string.\n     *\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Result.\n     * @api\n     */\n    XMLFeature.prototype.writeFeatures = function (features, opt_options) {\n        var node = this.writeFeaturesNode(features, opt_options);\n        return this.xmlSerializer_.serializeToString(node);\n    };\n    /**\n     * @param {Array<import(\"../Feature.js\").default>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Options.\n     * @return {Node} Node.\n     */\n    XMLFeature.prototype.writeFeaturesNode = function (features, opt_options) {\n        return null; // not implemented\n    };\n    /**\n     * Encode a geometry as string.\n     *\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Write options.\n     * @return {string} Encoded geometry.\n     */\n    XMLFeature.prototype.writeGeometry = function (geometry, opt_options) {\n        var node = this.writeGeometryNode(geometry, opt_options);\n        return this.xmlSerializer_.serializeToString(node);\n    };\n    /**\n     * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Options.\n     * @return {Node} Node.\n     */\n    XMLFeature.prototype.writeGeometryNode = function (geometry, opt_options) {\n        return null; // not implemented\n    };\n    return XMLFeature;\n}(FeatureFormat));\nexport default XMLFeature;\n//# sourceMappingURL=XMLFeature.js.map","/**\n * @module ol/format/xsd\n */\nimport { getAllTextContent, getDocument } from '../xml.js';\nimport { padNumber } from '../string.js';\n/**\n * @param {Node} node Node.\n * @return {boolean|undefined} Boolean.\n */\nexport function readBoolean(node) {\n    var s = getAllTextContent(node, false);\n    return readBooleanString(s);\n}\n/**\n * @param {string} string String.\n * @return {boolean|undefined} Boolean.\n */\nexport function readBooleanString(string) {\n    var m = /^\\s*(true|1)|(false|0)\\s*$/.exec(string);\n    if (m) {\n        return m[1] !== undefined || false;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {number|undefined} DateTime in seconds.\n */\nexport function readDateTime(node) {\n    var s = getAllTextContent(node, false);\n    var dateTime = Date.parse(s);\n    return isNaN(dateTime) ? undefined : dateTime / 1000;\n}\n/**\n * @param {Node} node Node.\n * @return {number|undefined} Decimal.\n */\nexport function readDecimal(node) {\n    var s = getAllTextContent(node, false);\n    return readDecimalString(s);\n}\n/**\n * @param {string} string String.\n * @return {number|undefined} Decimal.\n */\nexport function readDecimalString(string) {\n    // FIXME check spec\n    var m = /^\\s*([+\\-]?\\d*\\.?\\d+(?:e[+\\-]?\\d+)?)\\s*$/i.exec(string);\n    if (m) {\n        return parseFloat(m[1]);\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {number|undefined} Non negative integer.\n */\nexport function readPositiveInteger(node) {\n    var s = getAllTextContent(node, false);\n    return readNonNegativeIntegerString(s);\n}\n/**\n * @param {string} string String.\n * @return {number|undefined} Non negative integer.\n */\nexport function readNonNegativeIntegerString(string) {\n    var m = /^\\s*(\\d+)\\s*$/.exec(string);\n    if (m) {\n        return parseInt(m[1], 10);\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {string|undefined} String.\n */\nexport function readString(node) {\n    return getAllTextContent(node, false).trim();\n}\n/**\n * @param {Node} node Node to append a TextNode with the boolean to.\n * @param {boolean} bool Boolean.\n */\nexport function writeBooleanTextNode(node, bool) {\n    writeStringTextNode(node, bool ? '1' : '0');\n}\n/**\n * @param {Node} node Node to append a CDATA Section with the string to.\n * @param {string} string String.\n */\nexport function writeCDATASection(node, string) {\n    node.appendChild(getDocument().createCDATASection(string));\n}\n/**\n * @param {Node} node Node to append a TextNode with the dateTime to.\n * @param {number} dateTime DateTime in seconds.\n */\nexport function writeDateTimeTextNode(node, dateTime) {\n    var date = new Date(dateTime * 1000);\n    var string = date.getUTCFullYear() +\n        '-' +\n        padNumber(date.getUTCMonth() + 1, 2) +\n        '-' +\n        padNumber(date.getUTCDate(), 2) +\n        'T' +\n        padNumber(date.getUTCHours(), 2) +\n        ':' +\n        padNumber(date.getUTCMinutes(), 2) +\n        ':' +\n        padNumber(date.getUTCSeconds(), 2) +\n        'Z';\n    node.appendChild(getDocument().createTextNode(string));\n}\n/**\n * @param {Node} node Node to append a TextNode with the decimal to.\n * @param {number} decimal Decimal.\n */\nexport function writeDecimalTextNode(node, decimal) {\n    var string = decimal.toPrecision();\n    node.appendChild(getDocument().createTextNode(string));\n}\n/**\n * @param {Node} node Node to append a TextNode with the decimal to.\n * @param {number} nonNegativeInteger Non negative integer.\n */\nexport function writeNonNegativeIntegerTextNode(node, nonNegativeInteger) {\n    var string = nonNegativeInteger.toString();\n    node.appendChild(getDocument().createTextNode(string));\n}\n/**\n * @param {Node} node Node to append a TextNode with the string to.\n * @param {string} string String.\n */\nexport function writeStringTextNode(node, string) {\n    node.appendChild(getDocument().createTextNode(string));\n}\n//# sourceMappingURL=xsd.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/format/KML\n */\nimport Feature from '../Feature.js';\nimport Fill from '../style/Fill.js';\nimport GeometryCollection from '../geom/GeometryCollection.js';\nimport GeometryLayout from '../geom/GeometryLayout.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport Icon from '../style/Icon.js';\nimport IconAnchorUnits from '../style/IconAnchorUnits.js';\nimport IconOrigin from '../style/IconOrigin.js';\nimport ImageState from '../ImageState.js';\nimport LineString from '../geom/LineString.js';\nimport MultiLineString from '../geom/MultiLineString.js';\nimport MultiPoint from '../geom/MultiPoint.js';\nimport MultiPolygon from '../geom/MultiPolygon.js';\nimport Point from '../geom/Point.js';\nimport Polygon from '../geom/Polygon.js';\nimport Stroke from '../style/Stroke.js';\nimport Style from '../style/Style.js';\nimport Text from '../style/Text.js';\nimport XMLFeature from './XMLFeature.js';\nimport { OBJECT_PROPERTY_NODE_FACTORY, XML_SCHEMA_INSTANCE_URI, createElementNS, getAllTextContent, isDocument, makeArrayExtender, makeArrayPusher, makeChildAppender, makeObjectPropertySetter, makeReplacer, makeSequence, makeSimpleNodeFactory, makeStructureNS, parse, parseNode, pushParseAndPop, pushSerializeAndPop, } from '../xml.js';\nimport { asArray } from '../color.js';\nimport { assert } from '../asserts.js';\nimport { extend, includes } from '../array.js';\nimport { get as getProjection } from '../proj.js';\nimport { readBoolean, readDecimal, readString, writeBooleanTextNode, writeCDATASection, writeDecimalTextNode, writeStringTextNode, } from './xsd.js';\nimport { toRadians } from '../math.js';\nimport { transformGeometryWithOptions } from './Feature.js';\n/**\n * @typedef {Object} Vec2\n * @property {number} x X coordinate.\n * @property {import(\"../style/IconAnchorUnits\").default} xunits Units of x.\n * @property {number} y Y coordinate.\n * @property {import(\"../style/IconAnchorUnits\").default} yunits Units of Y.\n * @property {import(\"../style/IconOrigin.js\").default} [origin] Origin.\n */\n/**\n * @typedef {Object} GxTrackObject\n * @property {Array<Array<number>>} coordinates Coordinates.\n * @property {Array<number>} whens Whens.\n */\n/**\n * @const\n * @type {Array<string>}\n */\nvar GX_NAMESPACE_URIS = ['http://www.google.com/kml/ext/2.2'];\n/**\n * @const\n * @type {Array<null|string>}\n */\nvar NAMESPACE_URIS = [\n    null,\n    'http://earth.google.com/kml/2.0',\n    'http://earth.google.com/kml/2.1',\n    'http://earth.google.com/kml/2.2',\n    'http://www.opengis.net/kml/2.2',\n];\n/**\n * @const\n * @type {string}\n */\nvar SCHEMA_LOCATION = 'http://www.opengis.net/kml/2.2 ' +\n    'https://developers.google.com/kml/schema/kml22gx.xsd';\n/**\n * @type {Object<string, import(\"../style/IconAnchorUnits\").default>}\n */\nvar ICON_ANCHOR_UNITS_MAP = {\n    'fraction': IconAnchorUnits.FRACTION,\n    'pixels': IconAnchorUnits.PIXELS,\n    'insetPixels': IconAnchorUnits.PIXELS,\n};\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar PLACEMARK_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'ExtendedData': extendedDataParser,\n    'Region': regionParser,\n    'MultiGeometry': makeObjectPropertySetter(readMultiGeometry, 'geometry'),\n    'LineString': makeObjectPropertySetter(readLineString, 'geometry'),\n    'LinearRing': makeObjectPropertySetter(readLinearRing, 'geometry'),\n    'Point': makeObjectPropertySetter(readPoint, 'geometry'),\n    'Polygon': makeObjectPropertySetter(readPolygon, 'geometry'),\n    'Style': makeObjectPropertySetter(readStyle),\n    'StyleMap': placemarkStyleMapParser,\n    'address': makeObjectPropertySetter(readString),\n    'description': makeObjectPropertySetter(readString),\n    'name': makeObjectPropertySetter(readString),\n    'open': makeObjectPropertySetter(readBoolean),\n    'phoneNumber': makeObjectPropertySetter(readString),\n    'styleUrl': makeObjectPropertySetter(readStyleURL),\n    'visibility': makeObjectPropertySetter(readBoolean),\n}, makeStructureNS(GX_NAMESPACE_URIS, {\n    'MultiTrack': makeObjectPropertySetter(readGxMultiTrack, 'geometry'),\n    'Track': makeObjectPropertySetter(readGxTrack, 'geometry'),\n}));\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar NETWORK_LINK_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'ExtendedData': extendedDataParser,\n    'Region': regionParser,\n    'Link': linkParser,\n    'address': makeObjectPropertySetter(readString),\n    'description': makeObjectPropertySetter(readString),\n    'name': makeObjectPropertySetter(readString),\n    'open': makeObjectPropertySetter(readBoolean),\n    'phoneNumber': makeObjectPropertySetter(readString),\n    'visibility': makeObjectPropertySetter(readBoolean),\n});\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar LINK_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'href': makeObjectPropertySetter(readURI),\n});\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar REGION_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'LatLonAltBox': latLonAltBoxParser,\n    'Lod': lodParser,\n});\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar KML_SEQUENCE = makeStructureNS(NAMESPACE_URIS, ['Document', 'Placemark']);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar KML_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'Document': makeChildAppender(writeDocument),\n    'Placemark': makeChildAppender(writePlacemark),\n});\n/**\n * @type {import(\"../color.js\").Color}\n */\nvar DEFAULT_COLOR;\n/**\n * @type {Fill}\n */\nvar DEFAULT_FILL_STYLE = null;\n/**\n * Get the default fill style (or null if not yet set).\n * @return {Fill} The default fill style.\n */\nexport function getDefaultFillStyle() {\n    return DEFAULT_FILL_STYLE;\n}\n/**\n * @type {import(\"../size.js\").Size}\n */\nvar DEFAULT_IMAGE_STYLE_ANCHOR;\n/**\n * @type {import(\"../style/IconAnchorUnits\").default}\n */\nvar DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS;\n/**\n * @type {import(\"../style/IconAnchorUnits\").default}\n */\nvar DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS;\n/**\n * @type {import(\"../size.js\").Size}\n */\nvar DEFAULT_IMAGE_STYLE_SIZE;\n/**\n * @type {string}\n */\nvar DEFAULT_IMAGE_STYLE_SRC;\n/**\n * @type {import(\"../style/Image.js\").default}\n */\nvar DEFAULT_IMAGE_STYLE = null;\n/**\n * Get the default image style (or null if not yet set).\n * @return {import(\"../style/Image.js\").default} The default image style.\n */\nexport function getDefaultImageStyle() {\n    return DEFAULT_IMAGE_STYLE;\n}\n/**\n * @type {string}\n */\nvar DEFAULT_NO_IMAGE_STYLE;\n/**\n * @type {Stroke}\n */\nvar DEFAULT_STROKE_STYLE = null;\n/**\n * Get the default stroke style (or null if not yet set).\n * @return {Stroke} The default stroke style.\n */\nexport function getDefaultStrokeStyle() {\n    return DEFAULT_STROKE_STYLE;\n}\n/**\n * @type {Stroke}\n */\nvar DEFAULT_TEXT_STROKE_STYLE;\n/**\n * @type {Text}\n */\nvar DEFAULT_TEXT_STYLE = null;\n/**\n * Get the default text style (or null if not yet set).\n * @return {Text} The default text style.\n */\nexport function getDefaultTextStyle() {\n    return DEFAULT_TEXT_STYLE;\n}\n/**\n * @type {Style}\n */\nvar DEFAULT_STYLE = null;\n/**\n * Get the default style (or null if not yet set).\n * @return {Style} The default style.\n */\nexport function getDefaultStyle() {\n    return DEFAULT_STYLE;\n}\n/**\n * @type {Array<Style>}\n */\nvar DEFAULT_STYLE_ARRAY = null;\n/**\n * Get the default style array (or null if not yet set).\n * @return {Array<Style>} The default style.\n */\nexport function getDefaultStyleArray() {\n    return DEFAULT_STYLE_ARRAY;\n}\n/**\n * Function that returns the scale needed to normalize an icon image to 32 pixels.\n * @param {import(\"../size.js\").Size} size Image size.\n * @return {number} Scale.\n */\nfunction scaleForSize(size) {\n    return 32 / Math.min(size[0], size[1]);\n}\nfunction createStyleDefaults() {\n    DEFAULT_COLOR = [255, 255, 255, 1];\n    DEFAULT_FILL_STYLE = new Fill({\n        color: DEFAULT_COLOR,\n    });\n    DEFAULT_IMAGE_STYLE_ANCHOR = [20, 2];\n    DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS = IconAnchorUnits.PIXELS;\n    DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS = IconAnchorUnits.PIXELS;\n    DEFAULT_IMAGE_STYLE_SIZE = [64, 64];\n    DEFAULT_IMAGE_STYLE_SRC =\n        'https://maps.google.com/mapfiles/kml/pushpin/ylw-pushpin.png';\n    DEFAULT_IMAGE_STYLE = new Icon({\n        anchor: DEFAULT_IMAGE_STYLE_ANCHOR,\n        anchorOrigin: IconOrigin.BOTTOM_LEFT,\n        anchorXUnits: DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS,\n        anchorYUnits: DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS,\n        crossOrigin: 'anonymous',\n        rotation: 0,\n        scale: scaleForSize(DEFAULT_IMAGE_STYLE_SIZE),\n        size: DEFAULT_IMAGE_STYLE_SIZE,\n        src: DEFAULT_IMAGE_STYLE_SRC,\n    });\n    DEFAULT_NO_IMAGE_STYLE = 'NO_IMAGE';\n    DEFAULT_STROKE_STYLE = new Stroke({\n        color: DEFAULT_COLOR,\n        width: 1,\n    });\n    DEFAULT_TEXT_STROKE_STYLE = new Stroke({\n        color: [51, 51, 51, 1],\n        width: 2,\n    });\n    DEFAULT_TEXT_STYLE = new Text({\n        font: 'bold 16px Helvetica',\n        fill: DEFAULT_FILL_STYLE,\n        stroke: DEFAULT_TEXT_STROKE_STYLE,\n        scale: 0.8,\n    });\n    DEFAULT_STYLE = new Style({\n        fill: DEFAULT_FILL_STYLE,\n        image: DEFAULT_IMAGE_STYLE,\n        text: DEFAULT_TEXT_STYLE,\n        stroke: DEFAULT_STROKE_STYLE,\n        zIndex: 0,\n    });\n    DEFAULT_STYLE_ARRAY = [DEFAULT_STYLE];\n}\n/**\n * @type {HTMLTextAreaElement}\n */\nvar TEXTAREA;\n/**\n * A function that takes a url `{string}` and returns a url `{string}`.\n * Might be used to change an icon path or to substitute a\n * data url obtained from a KMZ array buffer.\n *\n * @typedef {function(string):string} IconUrlFunction\n * @api\n */\n/**\n * Function that returns a url unchanged.\n * @param {string} href Input url.\n * @return {string} Output url.\n */\nfunction defaultIconUrlFunction(href) {\n    return href;\n}\n/**\n * @typedef {Object} Options\n * @property {boolean} [extractStyles=true] Extract styles from the KML.\n * @property {boolean} [showPointNames=true] Show names as labels for placemarks which contain points.\n * @property {Array<Style>} [defaultStyle] Default style. The\n * default default style is the same as Google Earth.\n * @property {boolean} [writeStyles=true] Write styles into KML.\n * @property {null|string} [crossOrigin='anonymous'] The `crossOrigin` attribute for loaded images. Note that you must provide a\n * `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * @property {IconUrlFunction} [iconUrlFunction] Function that takes a url string and returns a url string.\n * Might be used to change an icon path or to substitute a data url obtained from a KMZ array buffer.\n */\n/**\n * @classdesc\n * Feature format for reading and writing data in the KML format.\n *\n * {@link module:ol/format/KML~KML#readFeature} will read the first feature from\n * a KML source.\n *\n * MultiGeometries are converted into GeometryCollections if they are a mix of\n * geometry types, and into MultiPoint/MultiLineString/MultiPolygon if they are\n * all of the same type.\n *\n * Note that the KML format uses the URL() constructor. Older browsers such as IE\n * which do not support this will need a URL polyfill to be loaded before use.\n *\n * @api\n */\nvar KML = /** @class */ (function (_super) {\n    __extends(KML, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function KML(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options ? opt_options : {};\n        if (!DEFAULT_STYLE_ARRAY) {\n            createStyleDefaults();\n        }\n        /**\n         * @type {import(\"../proj/Projection.js\").default}\n         */\n        _this.dataProjection = getProjection('EPSG:4326');\n        /**\n         * @private\n         * @type {Array<Style>}\n         */\n        _this.defaultStyle_ = options.defaultStyle\n            ? options.defaultStyle\n            : DEFAULT_STYLE_ARRAY;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.extractStyles_ =\n            options.extractStyles !== undefined ? options.extractStyles : true;\n        /**\n         * @type {boolean}\n         */\n        _this.writeStyles_ =\n            options.writeStyles !== undefined ? options.writeStyles : true;\n        /**\n         * @private\n         * @type {!Object<string, (Array<Style>|string)>}\n         */\n        _this.sharedStyles_ = {};\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.showPointNames_ =\n            options.showPointNames !== undefined ? options.showPointNames : true;\n        /**\n         * @type {null|string}\n         */\n        _this.crossOrigin_ =\n            options.crossOrigin !== undefined ? options.crossOrigin : 'anonymous';\n        /**\n         * @type {IconUrlFunction}\n         */\n        _this.iconUrlFunction_ = options.iconUrlFunction\n            ? options.iconUrlFunction\n            : defaultIconUrlFunction;\n        _this.supportedMediaTypes = ['application/vnd.google-earth.kml+xml'];\n        return _this;\n    }\n    /**\n     * @param {Node} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     * @private\n     * @return {Array<Feature>|undefined} Features.\n     */\n    KML.prototype.readDocumentOrFolder_ = function (node, objectStack) {\n        // FIXME use scope somehow\n        var parsersNS = makeStructureNS(NAMESPACE_URIS, {\n            'Document': makeArrayExtender(this.readDocumentOrFolder_, this),\n            'Folder': makeArrayExtender(this.readDocumentOrFolder_, this),\n            'Placemark': makeArrayPusher(this.readPlacemark_, this),\n            'Style': this.readSharedStyle_.bind(this),\n            'StyleMap': this.readSharedStyleMap_.bind(this),\n        });\n        /** @type {Array<Feature>} */\n        // @ts-ignore\n        var features = pushParseAndPop([], parsersNS, node, objectStack, this);\n        if (features) {\n            return features;\n        }\n        else {\n            return undefined;\n        }\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     * @private\n     * @return {Feature|undefined} Feature.\n     */\n    KML.prototype.readPlacemark_ = function (node, objectStack) {\n        var object = pushParseAndPop({ 'geometry': null }, PLACEMARK_PARSERS, node, objectStack, this);\n        if (!object) {\n            return undefined;\n        }\n        var feature = new Feature();\n        var id = node.getAttribute('id');\n        if (id !== null) {\n            feature.setId(id);\n        }\n        var options = /** @type {import(\"./Feature.js\").ReadOptions} */ (objectStack[0]);\n        var geometry = object['geometry'];\n        if (geometry) {\n            transformGeometryWithOptions(geometry, false, options);\n        }\n        feature.setGeometry(geometry);\n        delete object['geometry'];\n        if (this.extractStyles_) {\n            var style = object['Style'];\n            var styleUrl = object['styleUrl'];\n            var styleFunction = createFeatureStyleFunction(style, styleUrl, this.defaultStyle_, this.sharedStyles_, this.showPointNames_);\n            feature.setStyle(styleFunction);\n        }\n        delete object['Style'];\n        // we do not remove the styleUrl property from the object, so it\n        // gets stored on feature when setProperties is called\n        feature.setProperties(object, true);\n        return feature;\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     * @private\n     */\n    KML.prototype.readSharedStyle_ = function (node, objectStack) {\n        var id = node.getAttribute('id');\n        if (id !== null) {\n            var style = readStyle.call(this, node, objectStack);\n            if (style) {\n                var styleUri = void 0;\n                var baseURI = node.baseURI;\n                if (!baseURI || baseURI == 'about:blank') {\n                    baseURI = window.location.href;\n                }\n                if (baseURI) {\n                    var url = new URL('#' + id, baseURI);\n                    styleUri = url.href;\n                }\n                else {\n                    styleUri = '#' + id;\n                }\n                this.sharedStyles_[styleUri] = style;\n            }\n        }\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {Array<*>} objectStack Object stack.\n     * @private\n     */\n    KML.prototype.readSharedStyleMap_ = function (node, objectStack) {\n        var id = node.getAttribute('id');\n        if (id === null) {\n            return;\n        }\n        var styleMapValue = readStyleMapValue.call(this, node, objectStack);\n        if (!styleMapValue) {\n            return;\n        }\n        var styleUri;\n        var baseURI = node.baseURI;\n        if (!baseURI || baseURI == 'about:blank') {\n            baseURI = window.location.href;\n        }\n        if (baseURI) {\n            var url = new URL('#' + id, baseURI);\n            styleUri = url.href;\n        }\n        else {\n            styleUri = '#' + id;\n        }\n        this.sharedStyles_[styleUri] = styleMapValue;\n    };\n    /**\n     * @param {Element} node Node.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @return {import(\"../Feature.js\").default} Feature.\n     */\n    KML.prototype.readFeatureFromNode = function (node, opt_options) {\n        if (!includes(NAMESPACE_URIS, node.namespaceURI)) {\n            return null;\n        }\n        var feature = this.readPlacemark_(node, [\n            this.getReadOptions(node, opt_options),\n        ]);\n        if (feature) {\n            return feature;\n        }\n        else {\n            return null;\n        }\n    };\n    /**\n     * @protected\n     * @param {Element} node Node.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Options.\n     * @return {Array<import(\"../Feature.js\").default>} Features.\n     */\n    KML.prototype.readFeaturesFromNode = function (node, opt_options) {\n        if (!includes(NAMESPACE_URIS, node.namespaceURI)) {\n            return [];\n        }\n        var features;\n        var localName = node.localName;\n        if (localName == 'Document' || localName == 'Folder') {\n            features = this.readDocumentOrFolder_(node, [\n                this.getReadOptions(node, opt_options),\n            ]);\n            if (features) {\n                return features;\n            }\n            else {\n                return [];\n            }\n        }\n        else if (localName == 'Placemark') {\n            var feature = this.readPlacemark_(node, [\n                this.getReadOptions(node, opt_options),\n            ]);\n            if (feature) {\n                return [feature];\n            }\n            else {\n                return [];\n            }\n        }\n        else if (localName == 'kml') {\n            features = [];\n            for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n                var fs = this.readFeaturesFromNode(n, opt_options);\n                if (fs) {\n                    extend(features, fs);\n                }\n            }\n            return features;\n        }\n        else {\n            return [];\n        }\n    };\n    /**\n     * Read the name of the KML.\n     *\n     * @param {Document|Element|string} source Source.\n     * @return {string|undefined} Name.\n     * @api\n     */\n    KML.prototype.readName = function (source) {\n        if (!source) {\n            return undefined;\n        }\n        else if (typeof source === 'string') {\n            var doc = parse(source);\n            return this.readNameFromDocument(doc);\n        }\n        else if (isDocument(source)) {\n            return this.readNameFromDocument(/** @type {Document} */ (source));\n        }\n        else {\n            return this.readNameFromNode(/** @type {Element} */ (source));\n        }\n    };\n    /**\n     * @param {Document} doc Document.\n     * @return {string|undefined} Name.\n     */\n    KML.prototype.readNameFromDocument = function (doc) {\n        for (var n = /** @type {Node} */ (doc.firstChild); n; n = n.nextSibling) {\n            if (n.nodeType == Node.ELEMENT_NODE) {\n                var name_1 = this.readNameFromNode(/** @type {Element} */ (n));\n                if (name_1) {\n                    return name_1;\n                }\n            }\n        }\n        return undefined;\n    };\n    /**\n     * @param {Element} node Node.\n     * @return {string|undefined} Name.\n     */\n    KML.prototype.readNameFromNode = function (node) {\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            if (includes(NAMESPACE_URIS, n.namespaceURI) && n.localName == 'name') {\n                return readString(n);\n            }\n        }\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            var localName = n.localName;\n            if (includes(NAMESPACE_URIS, n.namespaceURI) &&\n                (localName == 'Document' ||\n                    localName == 'Folder' ||\n                    localName == 'Placemark' ||\n                    localName == 'kml')) {\n                var name_2 = this.readNameFromNode(n);\n                if (name_2) {\n                    return name_2;\n                }\n            }\n        }\n        return undefined;\n    };\n    /**\n     * Read the network links of the KML.\n     *\n     * @param {Document|Element|string} source Source.\n     * @return {Array<Object>} Network links.\n     * @api\n     */\n    KML.prototype.readNetworkLinks = function (source) {\n        var networkLinks = [];\n        if (typeof source === 'string') {\n            var doc = parse(source);\n            extend(networkLinks, this.readNetworkLinksFromDocument(doc));\n        }\n        else if (isDocument(source)) {\n            extend(networkLinks, this.readNetworkLinksFromDocument(/** @type {Document} */ (source)));\n        }\n        else {\n            extend(networkLinks, this.readNetworkLinksFromNode(/** @type {Element} */ (source)));\n        }\n        return networkLinks;\n    };\n    /**\n     * @param {Document} doc Document.\n     * @return {Array<Object>} Network links.\n     */\n    KML.prototype.readNetworkLinksFromDocument = function (doc) {\n        var networkLinks = [];\n        for (var n = /** @type {Node} */ (doc.firstChild); n; n = n.nextSibling) {\n            if (n.nodeType == Node.ELEMENT_NODE) {\n                extend(networkLinks, this.readNetworkLinksFromNode(/** @type {Element} */ (n)));\n            }\n        }\n        return networkLinks;\n    };\n    /**\n     * @param {Element} node Node.\n     * @return {Array<Object>} Network links.\n     */\n    KML.prototype.readNetworkLinksFromNode = function (node) {\n        var networkLinks = [];\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            if (includes(NAMESPACE_URIS, n.namespaceURI) &&\n                n.localName == 'NetworkLink') {\n                var obj = pushParseAndPop({}, NETWORK_LINK_PARSERS, n, []);\n                networkLinks.push(obj);\n            }\n        }\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            var localName = n.localName;\n            if (includes(NAMESPACE_URIS, n.namespaceURI) &&\n                (localName == 'Document' || localName == 'Folder' || localName == 'kml')) {\n                extend(networkLinks, this.readNetworkLinksFromNode(n));\n            }\n        }\n        return networkLinks;\n    };\n    /**\n     * Read the regions of the KML.\n     *\n     * @param {Document|Element|string} source Source.\n     * @return {Array<Object>} Regions.\n     * @api\n     */\n    KML.prototype.readRegion = function (source) {\n        var regions = [];\n        if (typeof source === 'string') {\n            var doc = parse(source);\n            extend(regions, this.readRegionFromDocument(doc));\n        }\n        else if (isDocument(source)) {\n            extend(regions, this.readRegionFromDocument(/** @type {Document} */ (source)));\n        }\n        else {\n            extend(regions, this.readRegionFromNode(/** @type {Element} */ (source)));\n        }\n        return regions;\n    };\n    /**\n     * @param {Document} doc Document.\n     * @return {Array<Object>} Region.\n     */\n    KML.prototype.readRegionFromDocument = function (doc) {\n        var regions = [];\n        for (var n = /** @type {Node} */ (doc.firstChild); n; n = n.nextSibling) {\n            if (n.nodeType == Node.ELEMENT_NODE) {\n                extend(regions, this.readRegionFromNode(/** @type {Element} */ (n)));\n            }\n        }\n        return regions;\n    };\n    /**\n     * @param {Element} node Node.\n     * @return {Array<Object>} Region.\n     * @api\n     */\n    KML.prototype.readRegionFromNode = function (node) {\n        var regions = [];\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            if (includes(NAMESPACE_URIS, n.namespaceURI) && n.localName == 'Region') {\n                var obj = pushParseAndPop({}, REGION_PARSERS, n, []);\n                regions.push(obj);\n            }\n        }\n        for (var n = node.firstElementChild; n; n = n.nextElementSibling) {\n            var localName = n.localName;\n            if (includes(NAMESPACE_URIS, n.namespaceURI) &&\n                (localName == 'Document' || localName == 'Folder' || localName == 'kml')) {\n                extend(regions, this.readRegionFromNode(n));\n            }\n        }\n        return regions;\n    };\n    /**\n     * Encode an array of features in the KML format as an XML node. GeometryCollections,\n     * MultiPoints, MultiLineStrings, and MultiPolygons are output as MultiGeometries.\n     *\n     * @param {Array<Feature>} features Features.\n     * @param {import(\"./Feature.js\").WriteOptions} [opt_options] Options.\n     * @return {Node} Node.\n     * @api\n     */\n    KML.prototype.writeFeaturesNode = function (features, opt_options) {\n        opt_options = this.adaptOptions(opt_options);\n        var kml = createElementNS(NAMESPACE_URIS[4], 'kml');\n        var xmlnsUri = 'http://www.w3.org/2000/xmlns/';\n        kml.setAttributeNS(xmlnsUri, 'xmlns:gx', GX_NAMESPACE_URIS[0]);\n        kml.setAttributeNS(xmlnsUri, 'xmlns:xsi', XML_SCHEMA_INSTANCE_URI);\n        kml.setAttributeNS(XML_SCHEMA_INSTANCE_URI, 'xsi:schemaLocation', SCHEMA_LOCATION);\n        var /** @type {import(\"../xml.js\").NodeStackItem} */ context = {\n            node: kml,\n        };\n        /** @type {!Object<string, (Array<Feature>|Feature|undefined)>} */\n        var properties = {};\n        if (features.length > 1) {\n            properties['Document'] = features;\n        }\n        else if (features.length == 1) {\n            properties['Placemark'] = features[0];\n        }\n        var orderedKeys = KML_SEQUENCE[kml.namespaceURI];\n        var values = makeSequence(properties, orderedKeys);\n        pushSerializeAndPop(context, KML_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, [opt_options], orderedKeys, this);\n        return kml;\n    };\n    return KML;\n}(XMLFeature));\n/**\n * @param {Style|undefined} foundStyle Style.\n * @param {string} name Name.\n * @return {Style} style Style.\n */\nfunction createNameStyleFunction(foundStyle, name) {\n    var textOffset = [0, 0];\n    var textAlign = 'start';\n    var imageStyle = foundStyle.getImage();\n    if (imageStyle) {\n        var imageSize = imageStyle.getSize();\n        if (imageSize && imageSize.length == 2) {\n            var imageScale = imageStyle.getScaleArray();\n            var anchor = imageStyle.getAnchor();\n            // Offset the label to be centered to the right of the icon,\n            // if there is one.\n            textOffset[0] = imageScale[0] * (imageSize[0] - anchor[0]);\n            textOffset[1] = imageScale[1] * (imageSize[1] / 2 - anchor[1]);\n            textAlign = 'left';\n        }\n    }\n    var textStyle = foundStyle.getText();\n    if (textStyle) {\n        // clone the text style, customizing it with name, alignments and offset.\n        // Note that kml does not support many text options that OpenLayers does (rotation, textBaseline).\n        textStyle = textStyle.clone();\n        textStyle.setFont(textStyle.getFont() || DEFAULT_TEXT_STYLE.getFont());\n        textStyle.setScale(textStyle.getScale() || DEFAULT_TEXT_STYLE.getScale());\n        textStyle.setFill(textStyle.getFill() || DEFAULT_TEXT_STYLE.getFill());\n        textStyle.setStroke(textStyle.getStroke() || DEFAULT_TEXT_STROKE_STYLE);\n    }\n    else {\n        textStyle = DEFAULT_TEXT_STYLE.clone();\n    }\n    textStyle.setText(name);\n    textStyle.setOffsetX(textOffset[0]);\n    textStyle.setOffsetY(textOffset[1]);\n    textStyle.setTextAlign(textAlign);\n    var nameStyle = new Style({\n        image: imageStyle,\n        text: textStyle,\n    });\n    return nameStyle;\n}\n/**\n * @param {Array<Style>|undefined} style Style.\n * @param {string} styleUrl Style URL.\n * @param {Array<Style>} defaultStyle Default style.\n * @param {!Object<string, (Array<Style>|string)>} sharedStyles Shared styles.\n * @param {boolean|undefined} showPointNames true to show names for point placemarks.\n * @return {import(\"../style/Style.js\").StyleFunction} Feature style function.\n */\nfunction createFeatureStyleFunction(style, styleUrl, defaultStyle, sharedStyles, showPointNames) {\n    return (\n    /**\n     * @param {Feature} feature feature.\n     * @param {number} resolution Resolution.\n     * @return {Array<Style>|Style} Style.\n     */\n    function (feature, resolution) {\n        var drawName = showPointNames;\n        var name = '';\n        var multiGeometryPoints = [];\n        if (drawName) {\n            var geometry = feature.getGeometry();\n            if (geometry) {\n                var type = geometry.getType();\n                if (type === GeometryType.GEOMETRY_COLLECTION) {\n                    multiGeometryPoints = geometry\n                        .getGeometriesArrayRecursive()\n                        .filter(function (geometry) {\n                        var type = geometry.getType();\n                        return (type === GeometryType.POINT ||\n                            type === GeometryType.MULTI_POINT);\n                    });\n                    drawName = multiGeometryPoints.length > 0;\n                }\n                else {\n                    drawName =\n                        type === GeometryType.POINT || type === GeometryType.MULTI_POINT;\n                }\n            }\n        }\n        if (drawName) {\n            name = /** @type {string} */ (feature.get('name'));\n            drawName = drawName && !!name;\n            // convert any html character codes\n            if (drawName && name.search(/&[^&]+;/) > -1) {\n                if (!TEXTAREA) {\n                    TEXTAREA = document.createElement('textarea');\n                }\n                TEXTAREA.innerHTML = name;\n                name = TEXTAREA.value;\n            }\n        }\n        var featureStyle = defaultStyle;\n        if (style) {\n            featureStyle = style;\n        }\n        else if (styleUrl) {\n            featureStyle = findStyle(styleUrl, defaultStyle, sharedStyles);\n        }\n        if (drawName) {\n            var nameStyle = createNameStyleFunction(featureStyle[0], name);\n            if (multiGeometryPoints.length > 0) {\n                // in multigeometries restrict the name style to points and create a\n                // style without image or text for geometries requiring fill or stroke\n                // including any polygon specific style if there is one\n                nameStyle.setGeometry(new GeometryCollection(multiGeometryPoints));\n                var baseStyle = new Style({\n                    geometry: featureStyle[0].getGeometry(),\n                    image: null,\n                    fill: featureStyle[0].getFill(),\n                    stroke: featureStyle[0].getStroke(),\n                    text: null,\n                });\n                return [nameStyle, baseStyle].concat(featureStyle.slice(1));\n            }\n            return nameStyle;\n        }\n        return featureStyle;\n    });\n}\n/**\n * @param {Array<Style>|string|undefined} styleValue Style value.\n * @param {Array<Style>} defaultStyle Default style.\n * @param {!Object<string, (Array<Style>|string)>} sharedStyles\n * Shared styles.\n * @return {Array<Style>} Style.\n */\nfunction findStyle(styleValue, defaultStyle, sharedStyles) {\n    if (Array.isArray(styleValue)) {\n        return styleValue;\n    }\n    else if (typeof styleValue === 'string') {\n        return findStyle(sharedStyles[styleValue], defaultStyle, sharedStyles);\n    }\n    else {\n        return defaultStyle;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {import(\"../color.js\").Color|undefined} Color.\n */\nfunction readColor(node) {\n    var s = getAllTextContent(node, false);\n    // The KML specification states that colors should not include a leading `#`\n    // but we tolerate them.\n    var m = /^\\s*#?\\s*([0-9A-Fa-f]{8})\\s*$/.exec(s);\n    if (m) {\n        var hexColor = m[1];\n        return [\n            parseInt(hexColor.substr(6, 2), 16),\n            parseInt(hexColor.substr(4, 2), 16),\n            parseInt(hexColor.substr(2, 2), 16),\n            parseInt(hexColor.substr(0, 2), 16) / 255,\n        ];\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {Array<number>|undefined} Flat coordinates.\n */\nexport function readFlatCoordinates(node) {\n    var s = getAllTextContent(node, false);\n    var flatCoordinates = [];\n    // The KML specification states that coordinate tuples should not include\n    // spaces, but we tolerate them.\n    s = s.replace(/\\s*,\\s*/g, ',');\n    var re = /^\\s*([+\\-]?\\d*\\.?\\d+(?:e[+\\-]?\\d+)?),([+\\-]?\\d*\\.?\\d+(?:e[+\\-]?\\d+)?)(?:\\s+|,|$)(?:([+\\-]?\\d*\\.?\\d+(?:e[+\\-]?\\d+)?)(?:\\s+|$))?\\s*/i;\n    var m;\n    while ((m = re.exec(s))) {\n        var x = parseFloat(m[1]);\n        var y = parseFloat(m[2]);\n        var z = m[3] ? parseFloat(m[3]) : 0;\n        flatCoordinates.push(x, y, z);\n        s = s.substr(m[0].length);\n    }\n    if (s !== '') {\n        return undefined;\n    }\n    return flatCoordinates;\n}\n/**\n * @param {Node} node Node.\n * @return {string} URI.\n */\nfunction readURI(node) {\n    var s = getAllTextContent(node, false).trim();\n    var baseURI = node.baseURI;\n    if (!baseURI || baseURI == 'about:blank') {\n        baseURI = window.location.href;\n    }\n    if (baseURI) {\n        var url = new URL(s, baseURI);\n        return url.href;\n    }\n    else {\n        return s;\n    }\n}\n/**\n * @param {Node} node Node.\n * @return {string} URI.\n */\nfunction readStyleURL(node) {\n    // KML files in the wild occasionally forget the leading\n    // `#` on styleUrlsdefined in the same document.\n    var s = getAllTextContent(node, false)\n        .trim()\n        .replace(/^(?!.*#)/, '#');\n    var baseURI = node.baseURI;\n    if (!baseURI || baseURI == 'about:blank') {\n        baseURI = window.location.href;\n    }\n    if (baseURI) {\n        var url = new URL(s, baseURI);\n        return url.href;\n    }\n    else {\n        return s;\n    }\n}\n/**\n * @param {Element} node Node.\n * @return {Vec2} Vec2.\n */\nfunction readVec2(node) {\n    var xunits = node.getAttribute('xunits');\n    var yunits = node.getAttribute('yunits');\n    var origin;\n    if (xunits !== 'insetPixels') {\n        if (yunits !== 'insetPixels') {\n            origin = IconOrigin.BOTTOM_LEFT;\n        }\n        else {\n            origin = IconOrigin.TOP_LEFT;\n        }\n    }\n    else {\n        if (yunits !== 'insetPixels') {\n            origin = IconOrigin.BOTTOM_RIGHT;\n        }\n        else {\n            origin = IconOrigin.TOP_RIGHT;\n        }\n    }\n    return {\n        x: parseFloat(node.getAttribute('x')),\n        xunits: ICON_ANCHOR_UNITS_MAP[xunits],\n        y: parseFloat(node.getAttribute('y')),\n        yunits: ICON_ANCHOR_UNITS_MAP[yunits],\n        origin: origin,\n    };\n}\n/**\n * @param {Node} node Node.\n * @return {number|undefined} Scale.\n */\nfunction readScale(node) {\n    return readDecimal(node);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar STYLE_MAP_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'Pair': pairDataParser,\n});\n/**\n * @this {KML}\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Array<Style>|string|undefined} StyleMap.\n */\nfunction readStyleMapValue(node, objectStack) {\n    return pushParseAndPop(undefined, STYLE_MAP_PARSERS, node, objectStack, this);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar ICON_STYLE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'Icon': makeObjectPropertySetter(readIcon),\n    'color': makeObjectPropertySetter(readColor),\n    'heading': makeObjectPropertySetter(readDecimal),\n    'hotSpot': makeObjectPropertySetter(readVec2),\n    'scale': makeObjectPropertySetter(readScale),\n});\n/**\n * @this {KML}\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction iconStyleParser(node, objectStack) {\n    // FIXME refreshMode\n    // FIXME refreshInterval\n    // FIXME viewRefreshTime\n    // FIXME viewBoundScale\n    // FIXME viewFormat\n    // FIXME httpQuery\n    var object = pushParseAndPop({}, ICON_STYLE_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var styleObject = /** @type {Object} */ (objectStack[objectStack.length - 1]);\n    var IconObject = 'Icon' in object ? object['Icon'] : {};\n    var drawIcon = !('Icon' in object) || Object.keys(IconObject).length > 0;\n    var src;\n    var href = /** @type {string|undefined} */ (IconObject['href']);\n    if (href) {\n        src = href;\n    }\n    else if (drawIcon) {\n        src = DEFAULT_IMAGE_STYLE_SRC;\n    }\n    var anchor, anchorXUnits, anchorYUnits;\n    var anchorOrigin = IconOrigin.BOTTOM_LEFT;\n    var hotSpot = /** @type {Vec2|undefined} */ (object['hotSpot']);\n    if (hotSpot) {\n        anchor = [hotSpot.x, hotSpot.y];\n        anchorXUnits = hotSpot.xunits;\n        anchorYUnits = hotSpot.yunits;\n        anchorOrigin = hotSpot.origin;\n    }\n    else if (/^http:\\/\\/maps\\.(?:google|gstatic)\\.com\\//.test(src)) {\n        // Google hotspots from https://kml4earth.appspot.com/icons.html#notes\n        if (/pushpin/.test(src)) {\n            anchor = DEFAULT_IMAGE_STYLE_ANCHOR;\n            anchorXUnits = DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS;\n            anchorYUnits = DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS;\n        }\n        else if (/arrow-reverse/.test(src)) {\n            anchor = [54, 42];\n            anchorXUnits = DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS;\n            anchorYUnits = DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS;\n        }\n        else if (/paddle/.test(src)) {\n            anchor = [32, 1];\n            anchorXUnits = DEFAULT_IMAGE_STYLE_ANCHOR_X_UNITS;\n            anchorYUnits = DEFAULT_IMAGE_STYLE_ANCHOR_Y_UNITS;\n        }\n    }\n    var offset;\n    var x = /** @type {number|undefined} */ (IconObject['x']);\n    var y = /** @type {number|undefined} */ (IconObject['y']);\n    if (x !== undefined && y !== undefined) {\n        offset = [x, y];\n    }\n    var size;\n    var w = /** @type {number|undefined} */ (IconObject['w']);\n    var h = /** @type {number|undefined} */ (IconObject['h']);\n    if (w !== undefined && h !== undefined) {\n        size = [w, h];\n    }\n    var rotation;\n    var heading = /** @type {number} */ (object['heading']);\n    if (heading !== undefined) {\n        rotation = toRadians(heading);\n    }\n    var scale = /** @type {number|undefined} */ (object['scale']);\n    var color = /** @type {Array<number>|undefined} */ (object['color']);\n    if (drawIcon) {\n        if (src == DEFAULT_IMAGE_STYLE_SRC) {\n            size = DEFAULT_IMAGE_STYLE_SIZE;\n        }\n        var imageStyle_1 = new Icon({\n            anchor: anchor,\n            anchorOrigin: anchorOrigin,\n            anchorXUnits: anchorXUnits,\n            anchorYUnits: anchorYUnits,\n            crossOrigin: this.crossOrigin_,\n            offset: offset,\n            offsetOrigin: IconOrigin.BOTTOM_LEFT,\n            rotation: rotation,\n            scale: scale,\n            size: size,\n            src: this.iconUrlFunction_(src),\n            color: color,\n        });\n        var imageScale_1 = imageStyle_1.getScaleArray()[0];\n        var imageSize = imageStyle_1.getSize();\n        if (imageSize === null) {\n            var imageState = imageStyle_1.getImageState();\n            if (imageState === ImageState.IDLE || imageState === ImageState.LOADING) {\n                var listener_1 = function () {\n                    var imageState = imageStyle_1.getImageState();\n                    if (!(imageState === ImageState.IDLE ||\n                        imageState === ImageState.LOADING)) {\n                        var imageSize_1 = imageStyle_1.getSize();\n                        if (imageSize_1 && imageSize_1.length == 2) {\n                            var resizeScale = scaleForSize(imageSize_1);\n                            imageStyle_1.setScale(imageScale_1 * resizeScale);\n                        }\n                        imageStyle_1.unlistenImageChange(listener_1);\n                    }\n                };\n                imageStyle_1.listenImageChange(listener_1);\n                if (imageState === ImageState.IDLE) {\n                    imageStyle_1.load();\n                }\n            }\n        }\n        else if (imageSize.length == 2) {\n            var resizeScale = scaleForSize(imageSize);\n            imageStyle_1.setScale(imageScale_1 * resizeScale);\n        }\n        styleObject['imageStyle'] = imageStyle_1;\n    }\n    else {\n        // handle the case when we explicitly want to draw no icon.\n        styleObject['imageStyle'] = DEFAULT_NO_IMAGE_STYLE;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar LABEL_STYLE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeObjectPropertySetter(readColor),\n    'scale': makeObjectPropertySetter(readScale),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction labelStyleParser(node, objectStack) {\n    // FIXME colorMode\n    var object = pushParseAndPop({}, LABEL_STYLE_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var styleObject = objectStack[objectStack.length - 1];\n    var textStyle = new Text({\n        fill: new Fill({\n            color: \n            /** @type {import(\"../color.js\").Color} */\n            ('color' in object ? object['color'] : DEFAULT_COLOR),\n        }),\n        scale: /** @type {number|undefined} */ (object['scale']),\n    });\n    styleObject['textStyle'] = textStyle;\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar LINE_STYLE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeObjectPropertySetter(readColor),\n    'width': makeObjectPropertySetter(readDecimal),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction lineStyleParser(node, objectStack) {\n    // FIXME colorMode\n    // FIXME gx:outerColor\n    // FIXME gx:outerWidth\n    // FIXME gx:physicalWidth\n    // FIXME gx:labelVisibility\n    var object = pushParseAndPop({}, LINE_STYLE_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var styleObject = objectStack[objectStack.length - 1];\n    var strokeStyle = new Stroke({\n        color: \n        /** @type {import(\"../color.js\").Color} */\n        ('color' in object ? object['color'] : DEFAULT_COLOR),\n        width: /** @type {number} */ ('width' in object ? object['width'] : 1),\n    });\n    styleObject['strokeStyle'] = strokeStyle;\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar POLY_STYLE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeObjectPropertySetter(readColor),\n    'fill': makeObjectPropertySetter(readBoolean),\n    'outline': makeObjectPropertySetter(readBoolean),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction polyStyleParser(node, objectStack) {\n    // FIXME colorMode\n    var object = pushParseAndPop({}, POLY_STYLE_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var styleObject = objectStack[objectStack.length - 1];\n    var fillStyle = new Fill({\n        color: \n        /** @type {import(\"../color.js\").Color} */\n        ('color' in object ? object['color'] : DEFAULT_COLOR),\n    });\n    styleObject['fillStyle'] = fillStyle;\n    var fill = /** @type {boolean|undefined} */ (object['fill']);\n    if (fill !== undefined) {\n        styleObject['fill'] = fill;\n    }\n    var outline = /** @type {boolean|undefined} */ (object['outline']);\n    if (outline !== undefined) {\n        styleObject['outline'] = outline;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar FLAT_LINEAR_RING_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'coordinates': makeReplacer(readFlatCoordinates),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Array<number>} LinearRing flat coordinates.\n */\nfunction readFlatLinearRing(node, objectStack) {\n    return pushParseAndPop(null, FLAT_LINEAR_RING_PARSERS, node, objectStack);\n}\n/**\n * @param {Node} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction gxCoordParser(node, objectStack) {\n    var gxTrackObject = \n    /** @type {GxTrackObject} */\n    (objectStack[objectStack.length - 1]);\n    var coordinates = gxTrackObject.coordinates;\n    var s = getAllTextContent(node, false);\n    var re = /^\\s*([+\\-]?\\d+(?:\\.\\d*)?(?:e[+\\-]?\\d*)?)\\s+([+\\-]?\\d+(?:\\.\\d*)?(?:e[+\\-]?\\d*)?)\\s+([+\\-]?\\d+(?:\\.\\d*)?(?:e[+\\-]?\\d*)?)\\s*$/i;\n    var m = re.exec(s);\n    if (m) {\n        var x = parseFloat(m[1]);\n        var y = parseFloat(m[2]);\n        var z = parseFloat(m[3]);\n        coordinates.push([x, y, z]);\n    }\n    else {\n        coordinates.push([]);\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar GX_MULTITRACK_GEOMETRY_PARSERS = makeStructureNS(GX_NAMESPACE_URIS, {\n    'Track': makeArrayPusher(readGxTrack),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {MultiLineString|undefined} MultiLineString.\n */\nfunction readGxMultiTrack(node, objectStack) {\n    var lineStrings = pushParseAndPop([], GX_MULTITRACK_GEOMETRY_PARSERS, node, objectStack);\n    if (!lineStrings) {\n        return undefined;\n    }\n    return new MultiLineString(lineStrings);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar GX_TRACK_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'when': whenParser,\n}, makeStructureNS(GX_NAMESPACE_URIS, {\n    'coord': gxCoordParser,\n}));\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {LineString|undefined} LineString.\n */\nfunction readGxTrack(node, objectStack) {\n    var gxTrackObject = pushParseAndPop(\n    /** @type {GxTrackObject} */ ({\n        coordinates: [],\n        whens: [],\n    }), GX_TRACK_PARSERS, node, objectStack);\n    if (!gxTrackObject) {\n        return undefined;\n    }\n    var flatCoordinates = [];\n    var coordinates = gxTrackObject.coordinates;\n    var whens = gxTrackObject.whens;\n    for (var i = 0, ii = Math.min(coordinates.length, whens.length); i < ii; ++i) {\n        if (coordinates[i].length == 3) {\n            flatCoordinates.push(coordinates[i][0], coordinates[i][1], coordinates[i][2], whens[i]);\n        }\n    }\n    return new LineString(flatCoordinates, GeometryLayout.XYZM);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar ICON_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'href': makeObjectPropertySetter(readURI),\n}, makeStructureNS(GX_NAMESPACE_URIS, {\n    'x': makeObjectPropertySetter(readDecimal),\n    'y': makeObjectPropertySetter(readDecimal),\n    'w': makeObjectPropertySetter(readDecimal),\n    'h': makeObjectPropertySetter(readDecimal),\n}));\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Object} Icon object.\n */\nfunction readIcon(node, objectStack) {\n    var iconObject = pushParseAndPop({}, ICON_PARSERS, node, objectStack);\n    if (iconObject) {\n        return iconObject;\n    }\n    else {\n        return null;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar GEOMETRY_FLAT_COORDINATES_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'coordinates': makeReplacer(readFlatCoordinates),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Array<number>} Flat coordinates.\n */\nfunction readFlatCoordinatesFromNode(node, objectStack) {\n    return pushParseAndPop(null, GEOMETRY_FLAT_COORDINATES_PARSERS, node, objectStack);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar EXTRUDE_AND_ALTITUDE_MODE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'extrude': makeObjectPropertySetter(readBoolean),\n    'tessellate': makeObjectPropertySetter(readBoolean),\n    'altitudeMode': makeObjectPropertySetter(readString),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {LineString|undefined} LineString.\n */\nfunction readLineString(node, objectStack) {\n    var properties = pushParseAndPop({}, EXTRUDE_AND_ALTITUDE_MODE_PARSERS, node, objectStack);\n    var flatCoordinates = readFlatCoordinatesFromNode(node, objectStack);\n    if (flatCoordinates) {\n        var lineString = new LineString(flatCoordinates, GeometryLayout.XYZ);\n        lineString.setProperties(properties, true);\n        return lineString;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Polygon|undefined} Polygon.\n */\nfunction readLinearRing(node, objectStack) {\n    var properties = pushParseAndPop({}, EXTRUDE_AND_ALTITUDE_MODE_PARSERS, node, objectStack);\n    var flatCoordinates = readFlatCoordinatesFromNode(node, objectStack);\n    if (flatCoordinates) {\n        var polygon = new Polygon(flatCoordinates, GeometryLayout.XYZ, [\n            flatCoordinates.length,\n        ]);\n        polygon.setProperties(properties, true);\n        return polygon;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar MULTI_GEOMETRY_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'LineString': makeArrayPusher(readLineString),\n    'LinearRing': makeArrayPusher(readLinearRing),\n    'MultiGeometry': makeArrayPusher(readMultiGeometry),\n    'Point': makeArrayPusher(readPoint),\n    'Polygon': makeArrayPusher(readPolygon),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {import(\"../geom/Geometry.js\").default} Geometry.\n */\nfunction readMultiGeometry(node, objectStack) {\n    var geometries = pushParseAndPop([], MULTI_GEOMETRY_PARSERS, node, objectStack);\n    if (!geometries) {\n        return null;\n    }\n    if (geometries.length === 0) {\n        return new GeometryCollection(geometries);\n    }\n    var multiGeometry;\n    var homogeneous = true;\n    var type = geometries[0].getType();\n    var geometry;\n    for (var i = 1, ii = geometries.length; i < ii; ++i) {\n        geometry = geometries[i];\n        if (geometry.getType() != type) {\n            homogeneous = false;\n            break;\n        }\n    }\n    if (homogeneous) {\n        var layout = void 0;\n        var flatCoordinates = void 0;\n        if (type == GeometryType.POINT) {\n            var point = geometries[0];\n            layout = point.getLayout();\n            flatCoordinates = point.getFlatCoordinates();\n            for (var i = 1, ii = geometries.length; i < ii; ++i) {\n                geometry = geometries[i];\n                extend(flatCoordinates, geometry.getFlatCoordinates());\n            }\n            multiGeometry = new MultiPoint(flatCoordinates, layout);\n            setCommonGeometryProperties(multiGeometry, geometries);\n        }\n        else if (type == GeometryType.LINE_STRING) {\n            multiGeometry = new MultiLineString(geometries);\n            setCommonGeometryProperties(multiGeometry, geometries);\n        }\n        else if (type == GeometryType.POLYGON) {\n            multiGeometry = new MultiPolygon(geometries);\n            setCommonGeometryProperties(multiGeometry, geometries);\n        }\n        else if (type == GeometryType.GEOMETRY_COLLECTION) {\n            multiGeometry = new GeometryCollection(geometries);\n        }\n        else {\n            assert(false, 37); // Unknown geometry type found\n        }\n    }\n    else {\n        multiGeometry = new GeometryCollection(geometries);\n    }\n    return /** @type {import(\"../geom/Geometry.js\").default} */ (multiGeometry);\n}\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Point|undefined} Point.\n */\nfunction readPoint(node, objectStack) {\n    var properties = pushParseAndPop({}, EXTRUDE_AND_ALTITUDE_MODE_PARSERS, node, objectStack);\n    var flatCoordinates = readFlatCoordinatesFromNode(node, objectStack);\n    if (flatCoordinates) {\n        var point = new Point(flatCoordinates, GeometryLayout.XYZ);\n        point.setProperties(properties, true);\n        return point;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar FLAT_LINEAR_RINGS_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'innerBoundaryIs': innerBoundaryIsParser,\n    'outerBoundaryIs': outerBoundaryIsParser,\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Polygon|undefined} Polygon.\n */\nfunction readPolygon(node, objectStack) {\n    var properties = pushParseAndPop(\n    /** @type {Object<string,*>} */ ({}), EXTRUDE_AND_ALTITUDE_MODE_PARSERS, node, objectStack);\n    var flatLinearRings = pushParseAndPop([null], FLAT_LINEAR_RINGS_PARSERS, node, objectStack);\n    if (flatLinearRings && flatLinearRings[0]) {\n        var flatCoordinates = flatLinearRings[0];\n        var ends = [flatCoordinates.length];\n        for (var i = 1, ii = flatLinearRings.length; i < ii; ++i) {\n            extend(flatCoordinates, flatLinearRings[i]);\n            ends.push(flatCoordinates.length);\n        }\n        var polygon = new Polygon(flatCoordinates, GeometryLayout.XYZ, ends);\n        polygon.setProperties(properties, true);\n        return polygon;\n    }\n    else {\n        return undefined;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar STYLE_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'IconStyle': iconStyleParser,\n    'LabelStyle': labelStyleParser,\n    'LineStyle': lineStyleParser,\n    'PolyStyle': polyStyleParser,\n});\n/**\n * @this {KML}\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n * @return {Array<Style>} Style.\n */\nfunction readStyle(node, objectStack) {\n    var styleObject = pushParseAndPop({}, STYLE_PARSERS, node, objectStack, this);\n    if (!styleObject) {\n        return null;\n    }\n    var fillStyle = \n    /** @type {Fill} */\n    ('fillStyle' in styleObject ? styleObject['fillStyle'] : DEFAULT_FILL_STYLE);\n    var fill = /** @type {boolean|undefined} */ (styleObject['fill']);\n    if (fill !== undefined && !fill) {\n        fillStyle = null;\n    }\n    var imageStyle;\n    if ('imageStyle' in styleObject) {\n        if (styleObject['imageStyle'] != DEFAULT_NO_IMAGE_STYLE) {\n            imageStyle = styleObject['imageStyle'];\n        }\n    }\n    else {\n        imageStyle = DEFAULT_IMAGE_STYLE;\n    }\n    var textStyle = \n    /** @type {Text} */\n    ('textStyle' in styleObject ? styleObject['textStyle'] : DEFAULT_TEXT_STYLE);\n    var strokeStyle = \n    /** @type {Stroke} */\n    ('strokeStyle' in styleObject\n        ? styleObject['strokeStyle']\n        : DEFAULT_STROKE_STYLE);\n    var outline = /** @type {boolean|undefined} */ (styleObject['outline']);\n    if (outline !== undefined && !outline) {\n        // if the polystyle specifies no outline two styles are needed,\n        // one for non-polygon geometries where linestrings require a stroke\n        // and one for polygons where there should be no stroke\n        return [\n            new Style({\n                geometry: function (feature) {\n                    var geometry = feature.getGeometry();\n                    var type = geometry.getType();\n                    if (type === GeometryType.GEOMETRY_COLLECTION) {\n                        var collection = \n                        /** @type {import(\"../geom/GeometryCollection\").default} */ (geometry);\n                        return new GeometryCollection(collection\n                            .getGeometriesArrayRecursive()\n                            .filter(function (geometry) {\n                            var type = geometry.getType();\n                            return (type !== GeometryType.POLYGON &&\n                                type !== GeometryType.MULTI_POLYGON);\n                        }));\n                    }\n                    else if (type !== GeometryType.POLYGON &&\n                        type !== GeometryType.MULTI_POLYGON) {\n                        return geometry;\n                    }\n                },\n                fill: fillStyle,\n                image: imageStyle,\n                stroke: strokeStyle,\n                text: textStyle,\n                zIndex: undefined, // FIXME\n            }),\n            new Style({\n                geometry: function (feature) {\n                    var geometry = feature.getGeometry();\n                    var type = geometry.getType();\n                    if (type === GeometryType.GEOMETRY_COLLECTION) {\n                        var collection = \n                        /** @type {import(\"../geom/GeometryCollection\").default} */ (geometry);\n                        return new GeometryCollection(collection\n                            .getGeometriesArrayRecursive()\n                            .filter(function (geometry) {\n                            var type = geometry.getType();\n                            return (type === GeometryType.POLYGON ||\n                                type === GeometryType.MULTI_POLYGON);\n                        }));\n                    }\n                    else if (type === GeometryType.POLYGON ||\n                        type === GeometryType.MULTI_POLYGON) {\n                        return geometry;\n                    }\n                },\n                fill: fillStyle,\n                stroke: null,\n                zIndex: undefined, // FIXME\n            }),\n        ];\n    }\n    return [\n        new Style({\n            fill: fillStyle,\n            image: imageStyle,\n            stroke: strokeStyle,\n            text: textStyle,\n            zIndex: undefined, // FIXME\n        }),\n    ];\n}\n/**\n * Reads an array of geometries and creates arrays for common geometry\n * properties. Then sets them to the multi geometry.\n * @param {MultiPoint|MultiLineString|MultiPolygon} multiGeometry A multi-geometry.\n * @param {Array<import(\"../geom/Geometry.js\").default>} geometries List of geometries.\n */\nfunction setCommonGeometryProperties(multiGeometry, geometries) {\n    var ii = geometries.length;\n    var extrudes = new Array(geometries.length);\n    var tessellates = new Array(geometries.length);\n    var altitudeModes = new Array(geometries.length);\n    var hasExtrude, hasTessellate, hasAltitudeMode;\n    hasExtrude = false;\n    hasTessellate = false;\n    hasAltitudeMode = false;\n    for (var i = 0; i < ii; ++i) {\n        var geometry = geometries[i];\n        extrudes[i] = geometry.get('extrude');\n        tessellates[i] = geometry.get('tessellate');\n        altitudeModes[i] = geometry.get('altitudeMode');\n        hasExtrude = hasExtrude || extrudes[i] !== undefined;\n        hasTessellate = hasTessellate || tessellates[i] !== undefined;\n        hasAltitudeMode = hasAltitudeMode || altitudeModes[i];\n    }\n    if (hasExtrude) {\n        multiGeometry.set('extrude', extrudes);\n    }\n    if (hasTessellate) {\n        multiGeometry.set('tessellate', tessellates);\n    }\n    if (hasAltitudeMode) {\n        multiGeometry.set('altitudeMode', altitudeModes);\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar DATA_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'displayName': makeObjectPropertySetter(readString),\n    'value': makeObjectPropertySetter(readString),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction dataParser(node, objectStack) {\n    var name = node.getAttribute('name');\n    parseNode(DATA_PARSERS, node, objectStack);\n    var featureObject = /** @type {Object} */ (objectStack[objectStack.length - 1]);\n    if (name && featureObject.displayName) {\n        featureObject[name] = {\n            value: featureObject.value,\n            displayName: featureObject.displayName,\n            toString: function () {\n                return featureObject.value;\n            },\n        };\n    }\n    else if (name !== null) {\n        featureObject[name] = featureObject.value;\n    }\n    else if (featureObject.displayName !== null) {\n        featureObject[featureObject.displayName] = featureObject.value;\n    }\n    delete featureObject['value'];\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar EXTENDED_DATA_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'Data': dataParser,\n    'SchemaData': schemaDataParser,\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction extendedDataParser(node, objectStack) {\n    parseNode(EXTENDED_DATA_PARSERS, node, objectStack);\n}\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction regionParser(node, objectStack) {\n    parseNode(REGION_PARSERS, node, objectStack);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar PAIR_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'Style': makeObjectPropertySetter(readStyle),\n    'key': makeObjectPropertySetter(readString),\n    'styleUrl': makeObjectPropertySetter(readStyleURL),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction pairDataParser(node, objectStack) {\n    var pairObject = pushParseAndPop({}, PAIR_PARSERS, node, objectStack, this);\n    if (!pairObject) {\n        return;\n    }\n    var key = /** @type {string|undefined} */ (pairObject['key']);\n    if (key && key == 'normal') {\n        var styleUrl = /** @type {string|undefined} */ (pairObject['styleUrl']);\n        if (styleUrl) {\n            objectStack[objectStack.length - 1] = styleUrl;\n        }\n        var style = /** @type {Style} */ (pairObject['Style']);\n        if (style) {\n            objectStack[objectStack.length - 1] = style;\n        }\n    }\n}\n/**\n * @this {KML}\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction placemarkStyleMapParser(node, objectStack) {\n    var styleMapValue = readStyleMapValue.call(this, node, objectStack);\n    if (!styleMapValue) {\n        return;\n    }\n    var placemarkObject = objectStack[objectStack.length - 1];\n    if (Array.isArray(styleMapValue)) {\n        placemarkObject['Style'] = styleMapValue;\n    }\n    else if (typeof styleMapValue === 'string') {\n        placemarkObject['styleUrl'] = styleMapValue;\n    }\n    else {\n        assert(false, 38); // `styleMapValue` has an unknown type\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar SCHEMA_DATA_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'SimpleData': simpleDataParser,\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction schemaDataParser(node, objectStack) {\n    parseNode(SCHEMA_DATA_PARSERS, node, objectStack);\n}\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction simpleDataParser(node, objectStack) {\n    var name = node.getAttribute('name');\n    if (name !== null) {\n        var data = readString(node);\n        var featureObject = /** @type {Object} */ (objectStack[objectStack.length - 1]);\n        featureObject[name] = data;\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar LAT_LON_ALT_BOX_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'altitudeMode': makeObjectPropertySetter(readString),\n    'minAltitude': makeObjectPropertySetter(readDecimal),\n    'maxAltitude': makeObjectPropertySetter(readDecimal),\n    'north': makeObjectPropertySetter(readDecimal),\n    'south': makeObjectPropertySetter(readDecimal),\n    'east': makeObjectPropertySetter(readDecimal),\n    'west': makeObjectPropertySetter(readDecimal),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction latLonAltBoxParser(node, objectStack) {\n    var object = pushParseAndPop({}, LAT_LON_ALT_BOX_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var regionObject = /** @type {Object} */ (objectStack[objectStack.length - 1]);\n    var extent = [\n        parseFloat(object['west']),\n        parseFloat(object['south']),\n        parseFloat(object['east']),\n        parseFloat(object['north']),\n    ];\n    regionObject['extent'] = extent;\n    regionObject['altitudeMode'] = object['altitudeMode'];\n    regionObject['minAltitude'] = parseFloat(object['minAltitude']);\n    regionObject['maxAltitude'] = parseFloat(object['maxAltitude']);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar LOD_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'minLodPixels': makeObjectPropertySetter(readDecimal),\n    'maxLodPixels': makeObjectPropertySetter(readDecimal),\n    'minFadeExtent': makeObjectPropertySetter(readDecimal),\n    'maxFadeExtent': makeObjectPropertySetter(readDecimal),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction lodParser(node, objectStack) {\n    var object = pushParseAndPop({}, LOD_PARSERS, node, objectStack);\n    if (!object) {\n        return;\n    }\n    var lodObject = /** @type {Object} */ (objectStack[objectStack.length - 1]);\n    lodObject['minLodPixels'] = parseFloat(object['minLodPixels']);\n    lodObject['maxLodPixels'] = parseFloat(object['maxLodPixels']);\n    lodObject['minFadeExtent'] = parseFloat(object['minFadeExtent']);\n    lodObject['maxFadeExtent'] = parseFloat(object['maxFadeExtent']);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar INNER_BOUNDARY_IS_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    // KML spec only allows one LinearRing  per innerBoundaryIs, but Google Earth\n    // allows multiple, so we parse multiple here too.\n    'LinearRing': makeArrayPusher(readFlatLinearRing),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction innerBoundaryIsParser(node, objectStack) {\n    var innerBoundaryFlatLinearRings = pushParseAndPop(\n    /** @type {Array<Array<number>>} */ ([]), INNER_BOUNDARY_IS_PARSERS, node, objectStack);\n    if (innerBoundaryFlatLinearRings.length > 0) {\n        var flatLinearRings = \n        /** @type {Array<Array<number>>} */\n        (objectStack[objectStack.length - 1]);\n        flatLinearRings.push.apply(flatLinearRings, innerBoundaryFlatLinearRings);\n    }\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Parser>>}\n */\n// @ts-ignore\nvar OUTER_BOUNDARY_IS_PARSERS = makeStructureNS(NAMESPACE_URIS, {\n    'LinearRing': makeReplacer(readFlatLinearRing),\n});\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction outerBoundaryIsParser(node, objectStack) {\n    /** @type {Array<number>|undefined} */\n    var flatLinearRing = pushParseAndPop(undefined, OUTER_BOUNDARY_IS_PARSERS, node, objectStack);\n    if (flatLinearRing) {\n        var flatLinearRings = \n        /** @type {Array<Array<number>>} */\n        (objectStack[objectStack.length - 1]);\n        flatLinearRings[0] = flatLinearRing;\n    }\n}\n/**\n * @param {Element} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction linkParser(node, objectStack) {\n    parseNode(LINK_PARSERS, node, objectStack);\n}\n/**\n * @param {Node} node Node.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction whenParser(node, objectStack) {\n    var gxTrackObject = \n    /** @type {GxTrackObject} */\n    (objectStack[objectStack.length - 1]);\n    var whens = gxTrackObject.whens;\n    var s = getAllTextContent(node, false);\n    var when = Date.parse(s);\n    whens.push(isNaN(when) ? 0 : when);\n}\n/**\n * @param {Node} node Node to append a TextNode with the color to.\n * @param {import(\"../color.js\").Color|string} color Color.\n */\nfunction writeColorTextNode(node, color) {\n    var rgba = asArray(color);\n    var opacity = rgba.length == 4 ? rgba[3] : 1;\n    /** @type {Array<string|number>} */\n    var abgr = [opacity * 255, rgba[2], rgba[1], rgba[0]];\n    for (var i = 0; i < 4; ++i) {\n        var hex = Math.floor(/** @type {number} */ (abgr[i])).toString(16);\n        abgr[i] = hex.length == 1 ? '0' + hex : hex;\n    }\n    writeStringTextNode(node, abgr.join(''));\n}\n/**\n * @param {Node} node Node to append a TextNode with the coordinates to.\n * @param {Array<number>} coordinates Coordinates.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeCoordinatesTextNode(node, coordinates, objectStack) {\n    var context = objectStack[objectStack.length - 1];\n    var layout = context['layout'];\n    var stride = context['stride'];\n    var dimension;\n    if (layout == GeometryLayout.XY || layout == GeometryLayout.XYM) {\n        dimension = 2;\n    }\n    else if (layout == GeometryLayout.XYZ || layout == GeometryLayout.XYZM) {\n        dimension = 3;\n    }\n    else {\n        assert(false, 34); // Invalid geometry layout\n    }\n    var ii = coordinates.length;\n    var text = '';\n    if (ii > 0) {\n        text += coordinates[0];\n        for (var d = 1; d < dimension; ++d) {\n            text += ',' + coordinates[d];\n        }\n        for (var i = stride; i < ii; i += stride) {\n            text += ' ' + coordinates[i];\n            for (var d = 1; d < dimension; ++d) {\n                text += ',' + coordinates[i + d];\n            }\n        }\n    }\n    writeStringTextNode(node, text);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar EXTENDEDDATA_NODE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'Data': makeChildAppender(writeDataNode),\n    'value': makeChildAppender(writeDataNodeValue),\n    'displayName': makeChildAppender(writeDataNodeName),\n});\n/**\n * @param {Element} node Node.\n * @param {{name: *, value: *}} pair Name value pair.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeDataNode(node, pair, objectStack) {\n    node.setAttribute('name', pair.name);\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var value = pair.value;\n    if (typeof value == 'object') {\n        if (value !== null && value.displayName) {\n            pushSerializeAndPop(context, EXTENDEDDATA_NODE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, [value.displayName], objectStack, ['displayName']);\n        }\n        if (value !== null && value.value) {\n            pushSerializeAndPop(context, EXTENDEDDATA_NODE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, [value.value], objectStack, ['value']);\n        }\n    }\n    else {\n        pushSerializeAndPop(context, EXTENDEDDATA_NODE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, [value], objectStack, ['value']);\n    }\n}\n/**\n * @param {Node} node Node to append a TextNode with the name to.\n * @param {string} name DisplayName.\n */\nfunction writeDataNodeName(node, name) {\n    writeCDATASection(node, name);\n}\n/**\n * @param {Node} node Node to append a CDATA Section with the value to.\n * @param {string} value Value.\n */\nfunction writeDataNodeValue(node, value) {\n    writeStringTextNode(node, value);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar DOCUMENT_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'Placemark': makeChildAppender(writePlacemark),\n});\n/**\n * @const\n * @param {*} value Value.\n * @param {Array<*>} objectStack Object stack.\n * @param {string} [opt_nodeName] Node name.\n * @return {Node|undefined} Node.\n */\nvar DOCUMENT_NODE_FACTORY = function (value, objectStack, opt_nodeName) {\n    var parentNode = objectStack[objectStack.length - 1].node;\n    return createElementNS(parentNode.namespaceURI, 'Placemark');\n};\n/**\n * @param {Node} node Node.\n * @param {Array<Feature>} features Features.\n * @param {Array<*>} objectStack Object stack.\n * @this {KML}\n */\nfunction writeDocument(node, features, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    pushSerializeAndPop(context, DOCUMENT_SERIALIZERS, DOCUMENT_NODE_FACTORY, features, objectStack, undefined, this);\n}\n/**\n * A factory for creating Data nodes.\n * @const\n * @type {function(*, Array<*>): (Node|undefined)}\n */\nvar DATA_NODE_FACTORY = makeSimpleNodeFactory('Data');\n/**\n * @param {Node} node Node.\n * @param {{names: Array<string>, values: (Array<*>)}} namesAndValues Names and values.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeExtendedData(node, namesAndValues, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var names = namesAndValues.names;\n    var values = namesAndValues.values;\n    var length = names.length;\n    for (var i = 0; i < length; i++) {\n        pushSerializeAndPop(context, EXTENDEDDATA_NODE_SERIALIZERS, DATA_NODE_FACTORY, [{ name: names[i], value: values[i] }], objectStack);\n    }\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar ICON_SEQUENCE = makeStructureNS(NAMESPACE_URIS, ['href'], makeStructureNS(GX_NAMESPACE_URIS, ['x', 'y', 'w', 'h']));\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar ICON_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'href': makeChildAppender(writeStringTextNode),\n}, makeStructureNS(GX_NAMESPACE_URIS, {\n    'x': makeChildAppender(writeDecimalTextNode),\n    'y': makeChildAppender(writeDecimalTextNode),\n    'w': makeChildAppender(writeDecimalTextNode),\n    'h': makeChildAppender(writeDecimalTextNode),\n}));\n/**\n * @const\n * @param {*} value Value.\n * @param {Array<*>} objectStack Object stack.\n * @param {string} [opt_nodeName] Node name.\n * @return {Node|undefined} Node.\n */\nvar GX_NODE_FACTORY = function (value, objectStack, opt_nodeName) {\n    return createElementNS(GX_NAMESPACE_URIS[0], 'gx:' + opt_nodeName);\n};\n/**\n * @param {Node} node Node.\n * @param {Object} icon Icon object.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeIcon(node, icon, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = ICON_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(icon, orderedKeys);\n    pushSerializeAndPop(context, ICON_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n    orderedKeys = ICON_SEQUENCE[GX_NAMESPACE_URIS[0]];\n    values = makeSequence(icon, orderedKeys);\n    pushSerializeAndPop(context, ICON_SERIALIZERS, GX_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar ICON_STYLE_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'scale',\n    'heading',\n    'Icon',\n    'color',\n    'hotSpot',\n]);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar ICON_STYLE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'Icon': makeChildAppender(writeIcon),\n    'color': makeChildAppender(writeColorTextNode),\n    'heading': makeChildAppender(writeDecimalTextNode),\n    'hotSpot': makeChildAppender(writeVec2),\n    'scale': makeChildAppender(writeScaleTextNode),\n});\n/**\n * @param {Node} node Node.\n * @param {import(\"../style/Icon.js\").default} style Icon style.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeIconStyle(node, style, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var /** @type {Object<string, any>} */ properties = {};\n    var src = style.getSrc();\n    var size = style.getSize();\n    var iconImageSize = style.getImageSize();\n    var iconProperties = {\n        'href': src,\n    };\n    if (size) {\n        iconProperties['w'] = size[0];\n        iconProperties['h'] = size[1];\n        var anchor = style.getAnchor(); // top-left\n        var origin_1 = style.getOrigin(); // top-left\n        if (origin_1 && iconImageSize && origin_1[0] !== 0 && origin_1[1] !== size[1]) {\n            iconProperties['x'] = origin_1[0];\n            iconProperties['y'] = iconImageSize[1] - (origin_1[1] + size[1]);\n        }\n        if (anchor && (anchor[0] !== size[0] / 2 || anchor[1] !== size[1] / 2)) {\n            var /** @type {Vec2} */ hotSpot = {\n                x: anchor[0],\n                xunits: IconAnchorUnits.PIXELS,\n                y: size[1] - anchor[1],\n                yunits: IconAnchorUnits.PIXELS,\n            };\n            properties['hotSpot'] = hotSpot;\n        }\n    }\n    properties['Icon'] = iconProperties;\n    var scale = style.getScaleArray()[0];\n    var imageSize = size;\n    if (imageSize === null) {\n        imageSize = DEFAULT_IMAGE_STYLE_SIZE;\n    }\n    if (imageSize.length == 2) {\n        var resizeScale = scaleForSize(imageSize);\n        scale = scale / resizeScale;\n    }\n    if (scale !== 1) {\n        properties['scale'] = scale;\n    }\n    var rotation = style.getRotation();\n    if (rotation !== 0) {\n        properties['heading'] = rotation; // 0-360\n    }\n    var color = style.getColor();\n    if (color) {\n        properties['color'] = color;\n    }\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = ICON_STYLE_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, ICON_STYLE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar LABEL_STYLE_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'color',\n    'scale',\n]);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar LABEL_STYLE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeChildAppender(writeColorTextNode),\n    'scale': makeChildAppender(writeScaleTextNode),\n});\n/**\n * @param {Node} node Node.\n * @param {Text} style style.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeLabelStyle(node, style, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var properties = {};\n    var fill = style.getFill();\n    if (fill) {\n        properties['color'] = fill.getColor();\n    }\n    var scale = style.getScale();\n    if (scale && scale !== 1) {\n        properties['scale'] = scale;\n    }\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = LABEL_STYLE_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, LABEL_STYLE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar LINE_STYLE_SEQUENCE = makeStructureNS(NAMESPACE_URIS, ['color', 'width']);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar LINE_STYLE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeChildAppender(writeColorTextNode),\n    'width': makeChildAppender(writeDecimalTextNode),\n});\n/**\n * @param {Node} node Node.\n * @param {Stroke} style style.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeLineStyle(node, style, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var properties = {\n        'color': style.getColor(),\n        'width': Number(style.getWidth()) || 1,\n    };\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = LINE_STYLE_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, LINE_STYLE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @const\n * @type {Object<string, string>}\n */\nvar GEOMETRY_TYPE_TO_NODENAME = {\n    'Point': 'Point',\n    'LineString': 'LineString',\n    'LinearRing': 'LinearRing',\n    'Polygon': 'Polygon',\n    'MultiPoint': 'MultiGeometry',\n    'MultiLineString': 'MultiGeometry',\n    'MultiPolygon': 'MultiGeometry',\n    'GeometryCollection': 'MultiGeometry',\n};\n/**\n * @const\n * @param {*} value Value.\n * @param {Array<*>} objectStack Object stack.\n * @param {string} [opt_nodeName] Node name.\n * @return {Node|undefined} Node.\n */\nvar GEOMETRY_NODE_FACTORY = function (value, objectStack, opt_nodeName) {\n    if (value) {\n        var parentNode = objectStack[objectStack.length - 1].node;\n        return createElementNS(parentNode.namespaceURI, GEOMETRY_TYPE_TO_NODENAME[\n        /** @type {import(\"../geom/Geometry.js\").default} */ (value).getType()]);\n    }\n};\n/**\n * A factory for creating Point nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar POINT_NODE_FACTORY = makeSimpleNodeFactory('Point');\n/**\n * A factory for creating LineString nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar LINE_STRING_NODE_FACTORY = makeSimpleNodeFactory('LineString');\n/**\n * A factory for creating LinearRing nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar LINEAR_RING_NODE_FACTORY = makeSimpleNodeFactory('LinearRing');\n/**\n * A factory for creating Polygon nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar POLYGON_NODE_FACTORY = makeSimpleNodeFactory('Polygon');\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar MULTI_GEOMETRY_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'LineString': makeChildAppender(writePrimitiveGeometry),\n    'Point': makeChildAppender(writePrimitiveGeometry),\n    'Polygon': makeChildAppender(writePolygon),\n    'GeometryCollection': makeChildAppender(writeMultiGeometry),\n});\n/**\n * @param {Node} node Node.\n * @param {import(\"../geom/Geometry.js\").default} geometry Geometry.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeMultiGeometry(node, geometry, objectStack) {\n    /** @type {import(\"../xml.js\").NodeStackItem} */\n    var context = { node: node };\n    var type = geometry.getType();\n    /** @type {Array<import(\"../geom/Geometry.js\").default>} */\n    var geometries = [];\n    /** @type {function(*, Array<*>, string=): (Node|undefined)} */\n    var factory;\n    if (type === GeometryType.GEOMETRY_COLLECTION) {\n        /** @type {GeometryCollection} */ (geometry)\n            .getGeometriesArrayRecursive()\n            .forEach(function (geometry) {\n            var type = geometry.getType();\n            if (type === GeometryType.MULTI_POINT) {\n                geometries = geometries.concat(\n                /** @type {MultiPoint} */ (geometry).getPoints());\n            }\n            else if (type === GeometryType.MULTI_LINE_STRING) {\n                geometries = geometries.concat(\n                /** @type {MultiLineString} */ (geometry).getLineStrings());\n            }\n            else if (type === GeometryType.MULTI_POLYGON) {\n                geometries = geometries.concat(\n                /** @type {MultiPolygon} */ (geometry).getPolygons());\n            }\n            else if (type === GeometryType.POINT ||\n                type === GeometryType.LINE_STRING ||\n                type === GeometryType.POLYGON) {\n                geometries.push(geometry);\n            }\n            else {\n                assert(false, 39); // Unknown geometry type\n            }\n        });\n        factory = GEOMETRY_NODE_FACTORY;\n    }\n    else if (type === GeometryType.MULTI_POINT) {\n        geometries = /** @type {MultiPoint} */ (geometry).getPoints();\n        factory = POINT_NODE_FACTORY;\n    }\n    else if (type === GeometryType.MULTI_LINE_STRING) {\n        geometries = /** @type {MultiLineString} */ (geometry).getLineStrings();\n        factory = LINE_STRING_NODE_FACTORY;\n    }\n    else if (type === GeometryType.MULTI_POLYGON) {\n        geometries = /** @type {MultiPolygon} */ (geometry).getPolygons();\n        factory = POLYGON_NODE_FACTORY;\n    }\n    else {\n        assert(false, 39); // Unknown geometry type\n    }\n    pushSerializeAndPop(context, MULTI_GEOMETRY_SERIALIZERS, factory, geometries, objectStack);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar BOUNDARY_IS_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'LinearRing': makeChildAppender(writePrimitiveGeometry),\n});\n/**\n * @param {Node} node Node.\n * @param {import(\"../geom/LinearRing.js\").default} linearRing Linear ring.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeBoundaryIs(node, linearRing, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    pushSerializeAndPop(context, BOUNDARY_IS_SERIALIZERS, LINEAR_RING_NODE_FACTORY, [linearRing], objectStack);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar PLACEMARK_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'ExtendedData': makeChildAppender(writeExtendedData),\n    'MultiGeometry': makeChildAppender(writeMultiGeometry),\n    'LineString': makeChildAppender(writePrimitiveGeometry),\n    'LinearRing': makeChildAppender(writePrimitiveGeometry),\n    'Point': makeChildAppender(writePrimitiveGeometry),\n    'Polygon': makeChildAppender(writePolygon),\n    'Style': makeChildAppender(writeStyle),\n    'address': makeChildAppender(writeStringTextNode),\n    'description': makeChildAppender(writeStringTextNode),\n    'name': makeChildAppender(writeStringTextNode),\n    'open': makeChildAppender(writeBooleanTextNode),\n    'phoneNumber': makeChildAppender(writeStringTextNode),\n    'styleUrl': makeChildAppender(writeStringTextNode),\n    'visibility': makeChildAppender(writeBooleanTextNode),\n});\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar PLACEMARK_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'name',\n    'open',\n    'visibility',\n    'address',\n    'phoneNumber',\n    'description',\n    'styleUrl',\n    'Style',\n]);\n/**\n * A factory for creating ExtendedData nodes.\n * @const\n * @type {function(*, Array<*>): (Node|undefined)}\n */\nvar EXTENDEDDATA_NODE_FACTORY = makeSimpleNodeFactory('ExtendedData');\n/**\n * FIXME currently we do serialize arbitrary/custom feature properties\n * (ExtendedData).\n * @param {Element} node Node.\n * @param {Feature} feature Feature.\n * @param {Array<*>} objectStack Object stack.\n * @this {KML}\n */\nfunction writePlacemark(node, feature, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    // set id\n    if (feature.getId()) {\n        node.setAttribute('id', /** @type {string} */ (feature.getId()));\n    }\n    // serialize properties (properties unknown to KML are not serialized)\n    var properties = feature.getProperties();\n    // don't export these to ExtendedData\n    var filter = {\n        'address': 1,\n        'description': 1,\n        'name': 1,\n        'open': 1,\n        'phoneNumber': 1,\n        'styleUrl': 1,\n        'visibility': 1,\n    };\n    filter[feature.getGeometryName()] = 1;\n    var keys = Object.keys(properties || {})\n        .sort()\n        .filter(function (v) {\n        return !filter[v];\n    });\n    var styleFunction = feature.getStyleFunction();\n    if (styleFunction) {\n        // FIXME the styles returned by the style function are supposed to be\n        // resolution-independent here\n        var styles = styleFunction(feature, 0);\n        if (styles) {\n            var styleArray = Array.isArray(styles) ? styles : [styles];\n            var pointStyles = styleArray;\n            if (feature.getGeometry()) {\n                pointStyles = styleArray.filter(function (style) {\n                    var geometry = style.getGeometryFunction()(feature);\n                    if (geometry) {\n                        var type = geometry.getType();\n                        if (type === GeometryType.GEOMETRY_COLLECTION) {\n                            return /** @type {GeometryCollection} */ (geometry)\n                                .getGeometriesArrayRecursive()\n                                .filter(function (geometry) {\n                                var type = geometry.getType();\n                                return (type === GeometryType.POINT ||\n                                    type === GeometryType.MULTI_POINT);\n                            }).length;\n                        }\n                        return (type === GeometryType.POINT || type === GeometryType.MULTI_POINT);\n                    }\n                });\n            }\n            if (this.writeStyles_) {\n                var lineStyles = styleArray;\n                var polyStyles = styleArray;\n                if (feature.getGeometry()) {\n                    lineStyles = styleArray.filter(function (style) {\n                        var geometry = style.getGeometryFunction()(feature);\n                        if (geometry) {\n                            var type = geometry.getType();\n                            if (type === GeometryType.GEOMETRY_COLLECTION) {\n                                return /** @type {GeometryCollection} */ (geometry)\n                                    .getGeometriesArrayRecursive()\n                                    .filter(function (geometry) {\n                                    var type = geometry.getType();\n                                    return (type === GeometryType.LINE_STRING ||\n                                        type === GeometryType.MULTI_LINE_STRING);\n                                }).length;\n                            }\n                            return (type === GeometryType.LINE_STRING ||\n                                type === GeometryType.MULTI_LINE_STRING);\n                        }\n                    });\n                    polyStyles = styleArray.filter(function (style) {\n                        var geometry = style.getGeometryFunction()(feature);\n                        if (geometry) {\n                            var type = geometry.getType();\n                            if (type === GeometryType.GEOMETRY_COLLECTION) {\n                                return /** @type {GeometryCollection} */ (geometry)\n                                    .getGeometriesArrayRecursive()\n                                    .filter(function (geometry) {\n                                    var type = geometry.getType();\n                                    return (type === GeometryType.POLYGON ||\n                                        type === GeometryType.MULTI_POLYGON);\n                                }).length;\n                            }\n                            return (type === GeometryType.POLYGON ||\n                                type === GeometryType.MULTI_POLYGON);\n                        }\n                    });\n                }\n                properties['Style'] = {\n                    pointStyles: pointStyles,\n                    lineStyles: lineStyles,\n                    polyStyles: polyStyles,\n                };\n            }\n            if (pointStyles.length && properties['name'] === undefined) {\n                var textStyle = pointStyles[0].getText();\n                if (textStyle) {\n                    properties['name'] = textStyle.getText();\n                }\n            }\n        }\n    }\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = PLACEMARK_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, PLACEMARK_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n    if (keys.length > 0) {\n        var sequence = makeSequence(properties, keys);\n        var namesAndValues = { names: keys, values: sequence };\n        pushSerializeAndPop(context, PLACEMARK_SERIALIZERS, EXTENDEDDATA_NODE_FACTORY, [namesAndValues], objectStack);\n    }\n    // serialize geometry\n    var options = /** @type {import(\"./Feature.js\").WriteOptions} */ (objectStack[0]);\n    var geometry = feature.getGeometry();\n    if (geometry) {\n        geometry = transformGeometryWithOptions(geometry, true, options);\n    }\n    pushSerializeAndPop(context, PLACEMARK_SERIALIZERS, GEOMETRY_NODE_FACTORY, [geometry], objectStack);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar PRIMITIVE_GEOMETRY_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'extrude',\n    'tessellate',\n    'altitudeMode',\n    'coordinates',\n]);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar PRIMITIVE_GEOMETRY_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'extrude': makeChildAppender(writeBooleanTextNode),\n    'tessellate': makeChildAppender(writeBooleanTextNode),\n    'altitudeMode': makeChildAppender(writeStringTextNode),\n    'coordinates': makeChildAppender(writeCoordinatesTextNode),\n});\n/**\n * @param {Node} node Node.\n * @param {import(\"../geom/SimpleGeometry.js\").default} geometry Geometry.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writePrimitiveGeometry(node, geometry, objectStack) {\n    var flatCoordinates = geometry.getFlatCoordinates();\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    context['layout'] = geometry.getLayout();\n    context['stride'] = geometry.getStride();\n    // serialize properties (properties unknown to KML are not serialized)\n    var properties = geometry.getProperties();\n    properties.coordinates = flatCoordinates;\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = PRIMITIVE_GEOMETRY_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, PRIMITIVE_GEOMETRY_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar POLY_STYLE_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'color',\n    'fill',\n    'outline',\n]);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar POLYGON_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'outerBoundaryIs': makeChildAppender(writeBoundaryIs),\n    'innerBoundaryIs': makeChildAppender(writeBoundaryIs),\n});\n/**\n * A factory for creating innerBoundaryIs nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar INNER_BOUNDARY_NODE_FACTORY = makeSimpleNodeFactory('innerBoundaryIs');\n/**\n * A factory for creating outerBoundaryIs nodes.\n * @const\n * @type {function(*, Array<*>, string=): (Node|undefined)}\n */\nvar OUTER_BOUNDARY_NODE_FACTORY = makeSimpleNodeFactory('outerBoundaryIs');\n/**\n * @param {Node} node Node.\n * @param {Polygon} polygon Polygon.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writePolygon(node, polygon, objectStack) {\n    var linearRings = polygon.getLinearRings();\n    var outerRing = linearRings.shift();\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    // inner rings\n    pushSerializeAndPop(context, POLYGON_SERIALIZERS, INNER_BOUNDARY_NODE_FACTORY, linearRings, objectStack);\n    // outer ring\n    pushSerializeAndPop(context, POLYGON_SERIALIZERS, OUTER_BOUNDARY_NODE_FACTORY, [outerRing], objectStack);\n}\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar POLY_STYLE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'color': makeChildAppender(writeColorTextNode),\n    'fill': makeChildAppender(writeBooleanTextNode),\n    'outline': makeChildAppender(writeBooleanTextNode),\n});\n/**\n * @param {Node} node Node.\n * @param {Style} style Style.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writePolyStyle(node, style, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var fill = style.getFill();\n    var stroke = style.getStroke();\n    var properties = {\n        'color': fill ? fill.getColor() : undefined,\n        'fill': fill ? undefined : false,\n        'outline': stroke ? undefined : false,\n    };\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = POLY_STYLE_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, POLY_STYLE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @param {Node} node Node to append a TextNode with the scale to.\n * @param {number|undefined} scale Scale.\n */\nfunction writeScaleTextNode(node, scale) {\n    // the Math is to remove any excess decimals created by float arithmetic\n    writeDecimalTextNode(node, Math.round(scale * 1e6) / 1e6);\n}\n/**\n * @const\n * @type {Object<string, Array<string>>}\n */\n// @ts-ignore\nvar STYLE_SEQUENCE = makeStructureNS(NAMESPACE_URIS, [\n    'IconStyle',\n    'LabelStyle',\n    'LineStyle',\n    'PolyStyle',\n]);\n/**\n * @const\n * @type {Object<string, Object<string, import(\"../xml.js\").Serializer>>}\n */\n// @ts-ignore\nvar STYLE_SERIALIZERS = makeStructureNS(NAMESPACE_URIS, {\n    'IconStyle': makeChildAppender(writeIconStyle),\n    'LabelStyle': makeChildAppender(writeLabelStyle),\n    'LineStyle': makeChildAppender(writeLineStyle),\n    'PolyStyle': makeChildAppender(writePolyStyle),\n});\n/**\n * @param {Node} node Node.\n * @param {Object<string, Array<Style>>} styles Styles.\n * @param {Array<*>} objectStack Object stack.\n */\nfunction writeStyle(node, styles, objectStack) {\n    var /** @type {import(\"../xml.js\").NodeStackItem} */ context = { node: node };\n    var properties = {};\n    if (styles.pointStyles.length) {\n        var textStyle = styles.pointStyles[0].getText();\n        if (textStyle) {\n            properties['LabelStyle'] = textStyle;\n        }\n        var imageStyle = styles.pointStyles[0].getImage();\n        if (imageStyle &&\n            typeof ( /** @type {?} */(imageStyle).getSrc) === 'function') {\n            properties['IconStyle'] = imageStyle;\n        }\n    }\n    if (styles.lineStyles.length) {\n        var strokeStyle = styles.lineStyles[0].getStroke();\n        if (strokeStyle) {\n            properties['LineStyle'] = strokeStyle;\n        }\n    }\n    if (styles.polyStyles.length) {\n        var strokeStyle = styles.polyStyles[0].getStroke();\n        if (strokeStyle && !properties['LineStyle']) {\n            properties['LineStyle'] = strokeStyle;\n        }\n        properties['PolyStyle'] = styles.polyStyles[0];\n    }\n    var parentNode = objectStack[objectStack.length - 1].node;\n    var orderedKeys = STYLE_SEQUENCE[parentNode.namespaceURI];\n    var values = makeSequence(properties, orderedKeys);\n    pushSerializeAndPop(context, STYLE_SERIALIZERS, OBJECT_PROPERTY_NODE_FACTORY, values, objectStack, orderedKeys);\n}\n/**\n * @param {Element} node Node to append a TextNode with the Vec2 to.\n * @param {Vec2} vec2 Vec2.\n */\nfunction writeVec2(node, vec2) {\n    node.setAttribute('x', String(vec2.x));\n    node.setAttribute('y', String(vec2.y));\n    node.setAttribute('xunits', vec2.xunits);\n    node.setAttribute('yunits', vec2.yunits);\n}\nexport default KML;\n//# sourceMappingURL=KML.js.map","/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> */\nexports.read = function (buffer, offset, isLE, mLen, nBytes) {\n  var e, m\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var nBits = -7\n  var i = isLE ? (nBytes - 1) : 0\n  var d = isLE ? -1 : 1\n  var s = buffer[offset + i]\n\n  i += d\n\n  e = s & ((1 << (-nBits)) - 1)\n  s >>= (-nBits)\n  nBits += eLen\n  for (; nBits > 0; e = (e * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  m = e & ((1 << (-nBits)) - 1)\n  e >>= (-nBits)\n  nBits += mLen\n  for (; nBits > 0; m = (m * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  if (e === 0) {\n    e = 1 - eBias\n  } else if (e === eMax) {\n    return m ? NaN : ((s ? -1 : 1) * Infinity)\n  } else {\n    m = m + Math.pow(2, mLen)\n    e = e - eBias\n  }\n  return (s ? -1 : 1) * m * Math.pow(2, e - mLen)\n}\n\nexports.write = function (buffer, value, offset, isLE, mLen, nBytes) {\n  var e, m, c\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var rt = (mLen === 23 ? Math.pow(2, -24) - Math.pow(2, -77) : 0)\n  var i = isLE ? 0 : (nBytes - 1)\n  var d = isLE ? 1 : -1\n  var s = value < 0 || (value === 0 && 1 / value < 0) ? 1 : 0\n\n  value = Math.abs(value)\n\n  if (isNaN(value) || value === Infinity) {\n    m = isNaN(value) ? 1 : 0\n    e = eMax\n  } else {\n    e = Math.floor(Math.log(value) / Math.LN2)\n    if (value * (c = Math.pow(2, -e)) < 1) {\n      e--\n      c *= 2\n    }\n    if (e + eBias >= 1) {\n      value += rt / c\n    } else {\n      value += rt * Math.pow(2, 1 - eBias)\n    }\n    if (value * c >= 2) {\n      e++\n      c /= 2\n    }\n\n    if (e + eBias >= eMax) {\n      m = 0\n      e = eMax\n    } else if (e + eBias >= 1) {\n      m = ((value * c) - 1) * Math.pow(2, mLen)\n      e = e + eBias\n    } else {\n      m = value * Math.pow(2, eBias - 1) * Math.pow(2, mLen)\n      e = 0\n    }\n  }\n\n  for (; mLen >= 8; buffer[offset + i] = m & 0xff, i += d, m /= 256, mLen -= 8) {}\n\n  e = (e << mLen) | m\n  eLen += mLen\n  for (; eLen > 0; buffer[offset + i] = e & 0xff, i += d, e /= 256, eLen -= 8) {}\n\n  buffer[offset + i - d] |= s * 128\n}\n","'use strict';\n\nmodule.exports = Pbf;\n\nvar ieee754 = require('ieee754');\n\nfunction Pbf(buf) {\n    this.buf = ArrayBuffer.isView && ArrayBuffer.isView(buf) ? buf : new Uint8Array(buf || 0);\n    this.pos = 0;\n    this.type = 0;\n    this.length = this.buf.length;\n}\n\nPbf.Varint  = 0; // varint: int32, int64, uint32, uint64, sint32, sint64, bool, enum\nPbf.Fixed64 = 1; // 64-bit: double, fixed64, sfixed64\nPbf.Bytes   = 2; // length-delimited: string, bytes, embedded messages, packed repeated fields\nPbf.Fixed32 = 5; // 32-bit: float, fixed32, sfixed32\n\nvar SHIFT_LEFT_32 = (1 << 16) * (1 << 16),\n    SHIFT_RIGHT_32 = 1 / SHIFT_LEFT_32;\n\n// Threshold chosen based on both benchmarking and knowledge about browser string\n// data structures (which currently switch structure types at 12 bytes or more)\nvar TEXT_DECODER_MIN_LENGTH = 12;\nvar utf8TextDecoder = typeof TextDecoder === 'undefined' ? null : new TextDecoder('utf8');\n\nPbf.prototype = {\n\n    destroy: function() {\n        this.buf = null;\n    },\n\n    // === READING =================================================================\n\n    readFields: function(readField, result, end) {\n        end = end || this.length;\n\n        while (this.pos < end) {\n            var val = this.readVarint(),\n                tag = val >> 3,\n                startPos = this.pos;\n\n            this.type = val & 0x7;\n            readField(tag, result, this);\n\n            if (this.pos === startPos) this.skip(val);\n        }\n        return result;\n    },\n\n    readMessage: function(readField, result) {\n        return this.readFields(readField, result, this.readVarint() + this.pos);\n    },\n\n    readFixed32: function() {\n        var val = readUInt32(this.buf, this.pos);\n        this.pos += 4;\n        return val;\n    },\n\n    readSFixed32: function() {\n        var val = readInt32(this.buf, this.pos);\n        this.pos += 4;\n        return val;\n    },\n\n    // 64-bit int handling is based on github.com/dpw/node-buffer-more-ints (MIT-licensed)\n\n    readFixed64: function() {\n        var val = readUInt32(this.buf, this.pos) + readUInt32(this.buf, this.pos + 4) * SHIFT_LEFT_32;\n        this.pos += 8;\n        return val;\n    },\n\n    readSFixed64: function() {\n        var val = readUInt32(this.buf, this.pos) + readInt32(this.buf, this.pos + 4) * SHIFT_LEFT_32;\n        this.pos += 8;\n        return val;\n    },\n\n    readFloat: function() {\n        var val = ieee754.read(this.buf, this.pos, true, 23, 4);\n        this.pos += 4;\n        return val;\n    },\n\n    readDouble: function() {\n        var val = ieee754.read(this.buf, this.pos, true, 52, 8);\n        this.pos += 8;\n        return val;\n    },\n\n    readVarint: function(isSigned) {\n        var buf = this.buf,\n            val, b;\n\n        b = buf[this.pos++]; val  =  b & 0x7f;        if (b < 0x80) return val;\n        b = buf[this.pos++]; val |= (b & 0x7f) << 7;  if (b < 0x80) return val;\n        b = buf[this.pos++]; val |= (b & 0x7f) << 14; if (b < 0x80) return val;\n        b = buf[this.pos++]; val |= (b & 0x7f) << 21; if (b < 0x80) return val;\n        b = buf[this.pos];   val |= (b & 0x0f) << 28;\n\n        return readVarintRemainder(val, isSigned, this);\n    },\n\n    readVarint64: function() { // for compatibility with v2.0.1\n        return this.readVarint(true);\n    },\n\n    readSVarint: function() {\n        var num = this.readVarint();\n        return num % 2 === 1 ? (num + 1) / -2 : num / 2; // zigzag encoding\n    },\n\n    readBoolean: function() {\n        return Boolean(this.readVarint());\n    },\n\n    readString: function() {\n        var end = this.readVarint() + this.pos;\n        var pos = this.pos;\n        this.pos = end;\n\n        if (end - pos >= TEXT_DECODER_MIN_LENGTH && utf8TextDecoder) {\n            // longer strings are fast with the built-in browser TextDecoder API\n            return readUtf8TextDecoder(this.buf, pos, end);\n        }\n        // short strings are fast with our custom implementation\n        return readUtf8(this.buf, pos, end);\n    },\n\n    readBytes: function() {\n        var end = this.readVarint() + this.pos,\n            buffer = this.buf.subarray(this.pos, end);\n        this.pos = end;\n        return buffer;\n    },\n\n    // verbose for performance reasons; doesn't affect gzipped size\n\n    readPackedVarint: function(arr, isSigned) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readVarint(isSigned));\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readVarint(isSigned));\n        return arr;\n    },\n    readPackedSVarint: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readSVarint());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readSVarint());\n        return arr;\n    },\n    readPackedBoolean: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readBoolean());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readBoolean());\n        return arr;\n    },\n    readPackedFloat: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readFloat());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readFloat());\n        return arr;\n    },\n    readPackedDouble: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readDouble());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readDouble());\n        return arr;\n    },\n    readPackedFixed32: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readFixed32());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readFixed32());\n        return arr;\n    },\n    readPackedSFixed32: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readSFixed32());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readSFixed32());\n        return arr;\n    },\n    readPackedFixed64: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readFixed64());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readFixed64());\n        return arr;\n    },\n    readPackedSFixed64: function(arr) {\n        if (this.type !== Pbf.Bytes) return arr.push(this.readSFixed64());\n        var end = readPackedEnd(this);\n        arr = arr || [];\n        while (this.pos < end) arr.push(this.readSFixed64());\n        return arr;\n    },\n\n    skip: function(val) {\n        var type = val & 0x7;\n        if (type === Pbf.Varint) while (this.buf[this.pos++] > 0x7f) {}\n        else if (type === Pbf.Bytes) this.pos = this.readVarint() + this.pos;\n        else if (type === Pbf.Fixed32) this.pos += 4;\n        else if (type === Pbf.Fixed64) this.pos += 8;\n        else throw new Error('Unimplemented type: ' + type);\n    },\n\n    // === WRITING =================================================================\n\n    writeTag: function(tag, type) {\n        this.writeVarint((tag << 3) | type);\n    },\n\n    realloc: function(min) {\n        var length = this.length || 16;\n\n        while (length < this.pos + min) length *= 2;\n\n        if (length !== this.length) {\n            var buf = new Uint8Array(length);\n            buf.set(this.buf);\n            this.buf = buf;\n            this.length = length;\n        }\n    },\n\n    finish: function() {\n        this.length = this.pos;\n        this.pos = 0;\n        return this.buf.subarray(0, this.length);\n    },\n\n    writeFixed32: function(val) {\n        this.realloc(4);\n        writeInt32(this.buf, val, this.pos);\n        this.pos += 4;\n    },\n\n    writeSFixed32: function(val) {\n        this.realloc(4);\n        writeInt32(this.buf, val, this.pos);\n        this.pos += 4;\n    },\n\n    writeFixed64: function(val) {\n        this.realloc(8);\n        writeInt32(this.buf, val & -1, this.pos);\n        writeInt32(this.buf, Math.floor(val * SHIFT_RIGHT_32), this.pos + 4);\n        this.pos += 8;\n    },\n\n    writeSFixed64: function(val) {\n        this.realloc(8);\n        writeInt32(this.buf, val & -1, this.pos);\n        writeInt32(this.buf, Math.floor(val * SHIFT_RIGHT_32), this.pos + 4);\n        this.pos += 8;\n    },\n\n    writeVarint: function(val) {\n        val = +val || 0;\n\n        if (val > 0xfffffff || val < 0) {\n            writeBigVarint(val, this);\n            return;\n        }\n\n        this.realloc(4);\n\n        this.buf[this.pos++] =           val & 0x7f  | (val > 0x7f ? 0x80 : 0); if (val <= 0x7f) return;\n        this.buf[this.pos++] = ((val >>>= 7) & 0x7f) | (val > 0x7f ? 0x80 : 0); if (val <= 0x7f) return;\n        this.buf[this.pos++] = ((val >>>= 7) & 0x7f) | (val > 0x7f ? 0x80 : 0); if (val <= 0x7f) return;\n        this.buf[this.pos++] =   (val >>> 7) & 0x7f;\n    },\n\n    writeSVarint: function(val) {\n        this.writeVarint(val < 0 ? -val * 2 - 1 : val * 2);\n    },\n\n    writeBoolean: function(val) {\n        this.writeVarint(Boolean(val));\n    },\n\n    writeString: function(str) {\n        str = String(str);\n        this.realloc(str.length * 4);\n\n        this.pos++; // reserve 1 byte for short string length\n\n        var startPos = this.pos;\n        // write the string directly to the buffer and see how much was written\n        this.pos = writeUtf8(this.buf, str, this.pos);\n        var len = this.pos - startPos;\n\n        if (len >= 0x80) makeRoomForExtraLength(startPos, len, this);\n\n        // finally, write the message length in the reserved place and restore the position\n        this.pos = startPos - 1;\n        this.writeVarint(len);\n        this.pos += len;\n    },\n\n    writeFloat: function(val) {\n        this.realloc(4);\n        ieee754.write(this.buf, val, this.pos, true, 23, 4);\n        this.pos += 4;\n    },\n\n    writeDouble: function(val) {\n        this.realloc(8);\n        ieee754.write(this.buf, val, this.pos, true, 52, 8);\n        this.pos += 8;\n    },\n\n    writeBytes: function(buffer) {\n        var len = buffer.length;\n        this.writeVarint(len);\n        this.realloc(len);\n        for (var i = 0; i < len; i++) this.buf[this.pos++] = buffer[i];\n    },\n\n    writeRawMessage: function(fn, obj) {\n        this.pos++; // reserve 1 byte for short message length\n\n        // write the message directly to the buffer and see how much was written\n        var startPos = this.pos;\n        fn(obj, this);\n        var len = this.pos - startPos;\n\n        if (len >= 0x80) makeRoomForExtraLength(startPos, len, this);\n\n        // finally, write the message length in the reserved place and restore the position\n        this.pos = startPos - 1;\n        this.writeVarint(len);\n        this.pos += len;\n    },\n\n    writeMessage: function(tag, fn, obj) {\n        this.writeTag(tag, Pbf.Bytes);\n        this.writeRawMessage(fn, obj);\n    },\n\n    writePackedVarint:   function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedVarint, arr);   },\n    writePackedSVarint:  function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedSVarint, arr);  },\n    writePackedBoolean:  function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedBoolean, arr);  },\n    writePackedFloat:    function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedFloat, arr);    },\n    writePackedDouble:   function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedDouble, arr);   },\n    writePackedFixed32:  function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedFixed32, arr);  },\n    writePackedSFixed32: function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedSFixed32, arr); },\n    writePackedFixed64:  function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedFixed64, arr);  },\n    writePackedSFixed64: function(tag, arr) { if (arr.length) this.writeMessage(tag, writePackedSFixed64, arr); },\n\n    writeBytesField: function(tag, buffer) {\n        this.writeTag(tag, Pbf.Bytes);\n        this.writeBytes(buffer);\n    },\n    writeFixed32Field: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed32);\n        this.writeFixed32(val);\n    },\n    writeSFixed32Field: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed32);\n        this.writeSFixed32(val);\n    },\n    writeFixed64Field: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed64);\n        this.writeFixed64(val);\n    },\n    writeSFixed64Field: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed64);\n        this.writeSFixed64(val);\n    },\n    writeVarintField: function(tag, val) {\n        this.writeTag(tag, Pbf.Varint);\n        this.writeVarint(val);\n    },\n    writeSVarintField: function(tag, val) {\n        this.writeTag(tag, Pbf.Varint);\n        this.writeSVarint(val);\n    },\n    writeStringField: function(tag, str) {\n        this.writeTag(tag, Pbf.Bytes);\n        this.writeString(str);\n    },\n    writeFloatField: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed32);\n        this.writeFloat(val);\n    },\n    writeDoubleField: function(tag, val) {\n        this.writeTag(tag, Pbf.Fixed64);\n        this.writeDouble(val);\n    },\n    writeBooleanField: function(tag, val) {\n        this.writeVarintField(tag, Boolean(val));\n    }\n};\n\nfunction readVarintRemainder(l, s, p) {\n    var buf = p.buf,\n        h, b;\n\n    b = buf[p.pos++]; h  = (b & 0x70) >> 4;  if (b < 0x80) return toNum(l, h, s);\n    b = buf[p.pos++]; h |= (b & 0x7f) << 3;  if (b < 0x80) return toNum(l, h, s);\n    b = buf[p.pos++]; h |= (b & 0x7f) << 10; if (b < 0x80) return toNum(l, h, s);\n    b = buf[p.pos++]; h |= (b & 0x7f) << 17; if (b < 0x80) return toNum(l, h, s);\n    b = buf[p.pos++]; h |= (b & 0x7f) << 24; if (b < 0x80) return toNum(l, h, s);\n    b = buf[p.pos++]; h |= (b & 0x01) << 31; if (b < 0x80) return toNum(l, h, s);\n\n    throw new Error('Expected varint not more than 10 bytes');\n}\n\nfunction readPackedEnd(pbf) {\n    return pbf.type === Pbf.Bytes ?\n        pbf.readVarint() + pbf.pos : pbf.pos + 1;\n}\n\nfunction toNum(low, high, isSigned) {\n    if (isSigned) {\n        return high * 0x100000000 + (low >>> 0);\n    }\n\n    return ((high >>> 0) * 0x100000000) + (low >>> 0);\n}\n\nfunction writeBigVarint(val, pbf) {\n    var low, high;\n\n    if (val >= 0) {\n        low  = (val % 0x100000000) | 0;\n        high = (val / 0x100000000) | 0;\n    } else {\n        low  = ~(-val % 0x100000000);\n        high = ~(-val / 0x100000000);\n\n        if (low ^ 0xffffffff) {\n            low = (low + 1) | 0;\n        } else {\n            low = 0;\n            high = (high + 1) | 0;\n        }\n    }\n\n    if (val >= 0x10000000000000000 || val < -0x10000000000000000) {\n        throw new Error('Given varint doesn\\'t fit into 10 bytes');\n    }\n\n    pbf.realloc(10);\n\n    writeBigVarintLow(low, high, pbf);\n    writeBigVarintHigh(high, pbf);\n}\n\nfunction writeBigVarintLow(low, high, pbf) {\n    pbf.buf[pbf.pos++] = low & 0x7f | 0x80; low >>>= 7;\n    pbf.buf[pbf.pos++] = low & 0x7f | 0x80; low >>>= 7;\n    pbf.buf[pbf.pos++] = low & 0x7f | 0x80; low >>>= 7;\n    pbf.buf[pbf.pos++] = low & 0x7f | 0x80; low >>>= 7;\n    pbf.buf[pbf.pos]   = low & 0x7f;\n}\n\nfunction writeBigVarintHigh(high, pbf) {\n    var lsb = (high & 0x07) << 4;\n\n    pbf.buf[pbf.pos++] |= lsb         | ((high >>>= 3) ? 0x80 : 0); if (!high) return;\n    pbf.buf[pbf.pos++]  = high & 0x7f | ((high >>>= 7) ? 0x80 : 0); if (!high) return;\n    pbf.buf[pbf.pos++]  = high & 0x7f | ((high >>>= 7) ? 0x80 : 0); if (!high) return;\n    pbf.buf[pbf.pos++]  = high & 0x7f | ((high >>>= 7) ? 0x80 : 0); if (!high) return;\n    pbf.buf[pbf.pos++]  = high & 0x7f | ((high >>>= 7) ? 0x80 : 0); if (!high) return;\n    pbf.buf[pbf.pos++]  = high & 0x7f;\n}\n\nfunction makeRoomForExtraLength(startPos, len, pbf) {\n    var extraLen =\n        len <= 0x3fff ? 1 :\n        len <= 0x1fffff ? 2 :\n        len <= 0xfffffff ? 3 : Math.floor(Math.log(len) / (Math.LN2 * 7));\n\n    // if 1 byte isn't enough for encoding message length, shift the data to the right\n    pbf.realloc(extraLen);\n    for (var i = pbf.pos - 1; i >= startPos; i--) pbf.buf[i + extraLen] = pbf.buf[i];\n}\n\nfunction writePackedVarint(arr, pbf)   { for (var i = 0; i < arr.length; i++) pbf.writeVarint(arr[i]);   }\nfunction writePackedSVarint(arr, pbf)  { for (var i = 0; i < arr.length; i++) pbf.writeSVarint(arr[i]);  }\nfunction writePackedFloat(arr, pbf)    { for (var i = 0; i < arr.length; i++) pbf.writeFloat(arr[i]);    }\nfunction writePackedDouble(arr, pbf)   { for (var i = 0; i < arr.length; i++) pbf.writeDouble(arr[i]);   }\nfunction writePackedBoolean(arr, pbf)  { for (var i = 0; i < arr.length; i++) pbf.writeBoolean(arr[i]);  }\nfunction writePackedFixed32(arr, pbf)  { for (var i = 0; i < arr.length; i++) pbf.writeFixed32(arr[i]);  }\nfunction writePackedSFixed32(arr, pbf) { for (var i = 0; i < arr.length; i++) pbf.writeSFixed32(arr[i]); }\nfunction writePackedFixed64(arr, pbf)  { for (var i = 0; i < arr.length; i++) pbf.writeFixed64(arr[i]);  }\nfunction writePackedSFixed64(arr, pbf) { for (var i = 0; i < arr.length; i++) pbf.writeSFixed64(arr[i]); }\n\n// Buffer code below from https://github.com/feross/buffer, MIT-licensed\n\nfunction readUInt32(buf, pos) {\n    return ((buf[pos]) |\n        (buf[pos + 1] << 8) |\n        (buf[pos + 2] << 16)) +\n        (buf[pos + 3] * 0x1000000);\n}\n\nfunction writeInt32(buf, val, pos) {\n    buf[pos] = val;\n    buf[pos + 1] = (val >>> 8);\n    buf[pos + 2] = (val >>> 16);\n    buf[pos + 3] = (val >>> 24);\n}\n\nfunction readInt32(buf, pos) {\n    return ((buf[pos]) |\n        (buf[pos + 1] << 8) |\n        (buf[pos + 2] << 16)) +\n        (buf[pos + 3] << 24);\n}\n\nfunction readUtf8(buf, pos, end) {\n    var str = '';\n    var i = pos;\n\n    while (i < end) {\n        var b0 = buf[i];\n        var c = null; // codepoint\n        var bytesPerSequence =\n            b0 > 0xEF ? 4 :\n            b0 > 0xDF ? 3 :\n            b0 > 0xBF ? 2 : 1;\n\n        if (i + bytesPerSequence > end) break;\n\n        var b1, b2, b3;\n\n        if (bytesPerSequence === 1) {\n            if (b0 < 0x80) {\n                c = b0;\n            }\n        } else if (bytesPerSequence === 2) {\n            b1 = buf[i + 1];\n            if ((b1 & 0xC0) === 0x80) {\n                c = (b0 & 0x1F) << 0x6 | (b1 & 0x3F);\n                if (c <= 0x7F) {\n                    c = null;\n                }\n            }\n        } else if (bytesPerSequence === 3) {\n            b1 = buf[i + 1];\n            b2 = buf[i + 2];\n            if ((b1 & 0xC0) === 0x80 && (b2 & 0xC0) === 0x80) {\n                c = (b0 & 0xF) << 0xC | (b1 & 0x3F) << 0x6 | (b2 & 0x3F);\n                if (c <= 0x7FF || (c >= 0xD800 && c <= 0xDFFF)) {\n                    c = null;\n                }\n            }\n        } else if (bytesPerSequence === 4) {\n            b1 = buf[i + 1];\n            b2 = buf[i + 2];\n            b3 = buf[i + 3];\n            if ((b1 & 0xC0) === 0x80 && (b2 & 0xC0) === 0x80 && (b3 & 0xC0) === 0x80) {\n                c = (b0 & 0xF) << 0x12 | (b1 & 0x3F) << 0xC | (b2 & 0x3F) << 0x6 | (b3 & 0x3F);\n                if (c <= 0xFFFF || c >= 0x110000) {\n                    c = null;\n                }\n            }\n        }\n\n        if (c === null) {\n            c = 0xFFFD;\n            bytesPerSequence = 1;\n\n        } else if (c > 0xFFFF) {\n            c -= 0x10000;\n            str += String.fromCharCode(c >>> 10 & 0x3FF | 0xD800);\n            c = 0xDC00 | c & 0x3FF;\n        }\n\n        str += String.fromCharCode(c);\n        i += bytesPerSequence;\n    }\n\n    return str;\n}\n\nfunction readUtf8TextDecoder(buf, pos, end) {\n    return utf8TextDecoder.decode(buf.subarray(pos, end));\n}\n\nfunction writeUtf8(buf, str, pos) {\n    for (var i = 0, c, lead; i < str.length; i++) {\n        c = str.charCodeAt(i); // code point\n\n        if (c > 0xD7FF && c < 0xE000) {\n            if (lead) {\n                if (c < 0xDC00) {\n                    buf[pos++] = 0xEF;\n                    buf[pos++] = 0xBF;\n                    buf[pos++] = 0xBD;\n                    lead = c;\n                    continue;\n                } else {\n                    c = lead - 0xD800 << 10 | c - 0xDC00 | 0x10000;\n                    lead = null;\n                }\n            } else {\n                if (c > 0xDBFF || (i + 1 === str.length)) {\n                    buf[pos++] = 0xEF;\n                    buf[pos++] = 0xBF;\n                    buf[pos++] = 0xBD;\n                } else {\n                    lead = c;\n                }\n                continue;\n            }\n        } else if (lead) {\n            buf[pos++] = 0xEF;\n            buf[pos++] = 0xBF;\n            buf[pos++] = 0xBD;\n            lead = null;\n        }\n\n        if (c < 0x80) {\n            buf[pos++] = c;\n        } else {\n            if (c < 0x800) {\n                buf[pos++] = c >> 0x6 | 0xC0;\n            } else {\n                if (c < 0x10000) {\n                    buf[pos++] = c >> 0xC | 0xE0;\n                } else {\n                    buf[pos++] = c >> 0x12 | 0xF0;\n                    buf[pos++] = c >> 0xC & 0x3F | 0x80;\n                }\n                buf[pos++] = c >> 0x6 & 0x3F | 0x80;\n            }\n            buf[pos++] = c & 0x3F | 0x80;\n        }\n    }\n    return pos;\n}\n","/**\n * @module ol/render/Feature\n */\nimport GeometryType from '../geom/GeometryType.js';\nimport { compose as composeTransform, create as createTransform, } from '../transform.js';\nimport { createOrUpdateFromCoordinate, createOrUpdateFromFlatCoordinates, getCenter, getHeight, } from '../extent.js';\nimport { extend } from '../array.js';\nimport { getInteriorPointOfArray, getInteriorPointsOfMultiArray, } from '../geom/flat/interiorpoint.js';\nimport { get as getProjection } from '../proj.js';\nimport { interpolatePoint } from '../geom/flat/interpolate.js';\nimport { linearRingss as linearRingssCenter } from '../geom/flat/center.js';\nimport { transform2D } from '../geom/flat/transform.js';\n/**\n * @type {import(\"../transform.js\").Transform}\n */\nvar tmpTransform = createTransform();\n/**\n * Lightweight, read-only, {@link module:ol/Feature~Feature} and {@link module:ol/geom/Geometry~Geometry} like\n * structure, optimized for vector tile rendering and styling. Geometry access\n * through the API is limited to getting the type and extent of the geometry.\n */\nvar RenderFeature = /** @class */ (function () {\n    /**\n     * @param {import(\"../geom/GeometryType.js\").default} type Geometry type.\n     * @param {Array<number>} flatCoordinates Flat coordinates. These always need\n     *     to be right-handed for polygons.\n     * @param {Array<number>|Array<Array<number>>} ends Ends or Endss.\n     * @param {Object<string, *>} properties Properties.\n     * @param {number|string|undefined} id Feature id.\n     */\n    function RenderFeature(type, flatCoordinates, ends, properties, id) {\n        /**\n         * @type {import(\"../style/Style.js\").StyleFunction|undefined}\n         */\n        this.styleFunction;\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent|undefined}\n         */\n        this.extent_;\n        /**\n         * @private\n         * @type {number|string|undefined}\n         */\n        this.id_ = id;\n        /**\n         * @private\n         * @type {import(\"../geom/GeometryType.js\").default}\n         */\n        this.type_ = type;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.flatCoordinates_ = flatCoordinates;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.flatInteriorPoints_ = null;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        this.flatMidpoints_ = null;\n        /**\n         * @private\n         * @type {Array<number>|Array<Array<number>>}\n         */\n        this.ends_ = ends;\n        /**\n         * @private\n         * @type {Object<string, *>}\n         */\n        this.properties_ = properties;\n    }\n    /**\n     * Get a feature property by its key.\n     * @param {string} key Key\n     * @return {*} Value for the requested key.\n     * @api\n     */\n    RenderFeature.prototype.get = function (key) {\n        return this.properties_[key];\n    };\n    /**\n     * Get the extent of this feature's geometry.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    RenderFeature.prototype.getExtent = function () {\n        if (!this.extent_) {\n            this.extent_ =\n                this.type_ === GeometryType.POINT\n                    ? createOrUpdateFromCoordinate(this.flatCoordinates_)\n                    : createOrUpdateFromFlatCoordinates(this.flatCoordinates_, 0, this.flatCoordinates_.length, 2);\n        }\n        return this.extent_;\n    };\n    /**\n     * @return {Array<number>} Flat interior points.\n     */\n    RenderFeature.prototype.getFlatInteriorPoint = function () {\n        if (!this.flatInteriorPoints_) {\n            var flatCenter = getCenter(this.getExtent());\n            this.flatInteriorPoints_ = getInteriorPointOfArray(this.flatCoordinates_, 0, \n            /** @type {Array<number>} */ (this.ends_), 2, flatCenter, 0);\n        }\n        return this.flatInteriorPoints_;\n    };\n    /**\n     * @return {Array<number>} Flat interior points.\n     */\n    RenderFeature.prototype.getFlatInteriorPoints = function () {\n        if (!this.flatInteriorPoints_) {\n            var flatCenters = linearRingssCenter(this.flatCoordinates_, 0, \n            /** @type {Array<Array<number>>} */ (this.ends_), 2);\n            this.flatInteriorPoints_ = getInteriorPointsOfMultiArray(this.flatCoordinates_, 0, \n            /** @type {Array<Array<number>>} */ (this.ends_), 2, flatCenters);\n        }\n        return this.flatInteriorPoints_;\n    };\n    /**\n     * @return {Array<number>} Flat midpoint.\n     */\n    RenderFeature.prototype.getFlatMidpoint = function () {\n        if (!this.flatMidpoints_) {\n            this.flatMidpoints_ = interpolatePoint(this.flatCoordinates_, 0, this.flatCoordinates_.length, 2, 0.5);\n        }\n        return this.flatMidpoints_;\n    };\n    /**\n     * @return {Array<number>} Flat midpoints.\n     */\n    RenderFeature.prototype.getFlatMidpoints = function () {\n        if (!this.flatMidpoints_) {\n            this.flatMidpoints_ = [];\n            var flatCoordinates = this.flatCoordinates_;\n            var offset = 0;\n            var ends = /** @type {Array<number>} */ (this.ends_);\n            for (var i = 0, ii = ends.length; i < ii; ++i) {\n                var end = ends[i];\n                var midpoint = interpolatePoint(flatCoordinates, offset, end, 2, 0.5);\n                extend(this.flatMidpoints_, midpoint);\n                offset = end;\n            }\n        }\n        return this.flatMidpoints_;\n    };\n    /**\n     * Get the feature identifier.  This is a stable identifier for the feature and\n     * is set when reading data from a remote source.\n     * @return {number|string|undefined} Id.\n     * @api\n     */\n    RenderFeature.prototype.getId = function () {\n        return this.id_;\n    };\n    /**\n     * @return {Array<number>} Flat coordinates.\n     */\n    RenderFeature.prototype.getOrientedFlatCoordinates = function () {\n        return this.flatCoordinates_;\n    };\n    /**\n     * For API compatibility with {@link module:ol/Feature~Feature}, this method is useful when\n     * determining the geometry type in style function (see {@link #getType}).\n     * @return {RenderFeature} Feature.\n     * @api\n     */\n    RenderFeature.prototype.getGeometry = function () {\n        return this;\n    };\n    /**\n     * @param {number} squaredTolerance Squared tolerance.\n     * @return {RenderFeature} Simplified geometry.\n     */\n    RenderFeature.prototype.getSimplifiedGeometry = function (squaredTolerance) {\n        return this;\n    };\n    /**\n     * Get a transformed and simplified version of the geometry.\n     * @abstract\n     * @param {number} squaredTolerance Squared tolerance.\n     * @param {import(\"../proj.js\").TransformFunction} [opt_transform] Optional transform function.\n     * @return {RenderFeature} Simplified geometry.\n     */\n    RenderFeature.prototype.simplifyTransformed = function (squaredTolerance, opt_transform) {\n        return this;\n    };\n    /**\n     * Get the feature properties.\n     * @return {Object<string, *>} Feature properties.\n     * @api\n     */\n    RenderFeature.prototype.getProperties = function () {\n        return this.properties_;\n    };\n    /**\n     * @return {number} Stride.\n     */\n    RenderFeature.prototype.getStride = function () {\n        return 2;\n    };\n    /**\n     * @return {import('../style/Style.js').StyleFunction|undefined} Style\n     */\n    RenderFeature.prototype.getStyleFunction = function () {\n        return this.styleFunction;\n    };\n    /**\n     * Get the type of this feature's geometry.\n     * @return {import(\"../geom/GeometryType.js\").default} Geometry type.\n     * @api\n     */\n    RenderFeature.prototype.getType = function () {\n        return this.type_;\n    };\n    /**\n     * Transform geometry coordinates from tile pixel space to projected.\n     *\n     * @param {import(\"../proj.js\").ProjectionLike} projection The data projection\n     */\n    RenderFeature.prototype.transform = function (projection) {\n        projection = getProjection(projection);\n        var pixelExtent = projection.getExtent();\n        var projectedExtent = projection.getWorldExtent();\n        if (pixelExtent && projectedExtent) {\n            var scale = getHeight(projectedExtent) / getHeight(pixelExtent);\n            composeTransform(tmpTransform, projectedExtent[0], projectedExtent[3], scale, -scale, 0, 0, 0);\n            transform2D(this.flatCoordinates_, 0, this.flatCoordinates_.length, 2, tmpTransform, this.flatCoordinates_);\n        }\n    };\n    /**\n     * @return {Array<number>|Array<Array<number>>} Ends or endss.\n     */\n    RenderFeature.prototype.getEnds = function () {\n        return this.ends_;\n    };\n    return RenderFeature;\n}());\nRenderFeature.prototype.getEndss = RenderFeature.prototype.getEnds;\n/**\n * @return {Array<number>} Flat coordinates.\n */\nRenderFeature.prototype.getFlatCoordinates =\n    RenderFeature.prototype.getOrientedFlatCoordinates;\nexport default RenderFeature;\n//# sourceMappingURL=Feature.js.map","/**\n * @module ol/format/MVT\n */\n//FIXME Implement projection handling\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport FeatureFormat, { transformGeometryWithOptions } from './Feature.js';\nimport FormatType from './FormatType.js';\nimport GeometryLayout from '../geom/GeometryLayout.js';\nimport GeometryType from '../geom/GeometryType.js';\nimport LineString from '../geom/LineString.js';\nimport MultiLineString from '../geom/MultiLineString.js';\nimport MultiPoint from '../geom/MultiPoint.js';\nimport MultiPolygon from '../geom/MultiPolygon.js';\nimport PBF from 'pbf';\nimport Point from '../geom/Point.js';\nimport Polygon from '../geom/Polygon.js';\nimport Projection from '../proj/Projection.js';\nimport RenderFeature from '../render/Feature.js';\nimport Units from '../proj/Units.js';\nimport { assert } from '../asserts.js';\nimport { get } from '../proj.js';\nimport { linearRingIsClockwise } from '../geom/flat/orient.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"../Feature.js\").FeatureClass} [featureClass] Class for features returned by\n * {@link module:ol/format/MVT~MVT#readFeatures}. Set to {@link module:ol/Feature~Feature} to get full editing and geometry\n * support at the cost of decreased rendering performance. The default is\n * {@link module:ol/render/Feature~RenderFeature}, which is optimized for rendering and hit detection.\n * @property {string} [geometryName='geometry'] Geometry name to use when creating features.\n * @property {string} [layerName='layer'] Name of the feature attribute that holds the layer name.\n * @property {Array<string>} [layers] Layers to read features from. If not provided, features will be read from all\n * @property {string} [idProperty] Optional property that will be assigned as the feature id and removed from the properties.\n * layers.\n */\n/**\n * @classdesc\n * Feature format for reading data in the Mapbox MVT format.\n *\n * @param {Options} [opt_options] Options.\n * @api\n */\nvar MVT = /** @class */ (function (_super) {\n    __extends(MVT, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function MVT(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options ? opt_options : {};\n        /**\n         * @type {Projection}\n         */\n        _this.dataProjection = new Projection({\n            code: '',\n            units: Units.TILE_PIXELS,\n        });\n        /**\n         * @private\n         * @type {import(\"../Feature.js\").FeatureClass}\n         */\n        _this.featureClass_ = options.featureClass\n            ? options.featureClass\n            : RenderFeature;\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        _this.geometryName_ = options.geometryName;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.layerName_ = options.layerName ? options.layerName : 'layer';\n        /**\n         * @private\n         * @type {Array<string>}\n         */\n        _this.layers_ = options.layers ? options.layers : null;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.idProperty_ = options.idProperty;\n        _this.supportedMediaTypes = [\n            'application/vnd.mapbox-vector-tile',\n            'application/x-protobuf',\n        ];\n        return _this;\n    }\n    /**\n     * Read the raw geometry from the pbf offset stored in a raw feature's geometry\n     * property.\n     * @param {PBF} pbf PBF.\n     * @param {Object} feature Raw feature.\n     * @param {Array<number>} flatCoordinates Array to store flat coordinates in.\n     * @param {Array<number>} ends Array to store ends in.\n     * @private\n     */\n    MVT.prototype.readRawGeometry_ = function (pbf, feature, flatCoordinates, ends) {\n        pbf.pos = feature.geometry;\n        var end = pbf.readVarint() + pbf.pos;\n        var cmd = 1;\n        var length = 0;\n        var x = 0;\n        var y = 0;\n        var coordsLen = 0;\n        var currentEnd = 0;\n        while (pbf.pos < end) {\n            if (!length) {\n                var cmdLen = pbf.readVarint();\n                cmd = cmdLen & 0x7;\n                length = cmdLen >> 3;\n            }\n            length--;\n            if (cmd === 1 || cmd === 2) {\n                x += pbf.readSVarint();\n                y += pbf.readSVarint();\n                if (cmd === 1) {\n                    // moveTo\n                    if (coordsLen > currentEnd) {\n                        ends.push(coordsLen);\n                        currentEnd = coordsLen;\n                    }\n                }\n                flatCoordinates.push(x, y);\n                coordsLen += 2;\n            }\n            else if (cmd === 7) {\n                if (coordsLen > currentEnd) {\n                    // close polygon\n                    flatCoordinates.push(flatCoordinates[currentEnd], flatCoordinates[currentEnd + 1]);\n                    coordsLen += 2;\n                }\n            }\n            else {\n                assert(false, 59); // Invalid command found in the PBF\n            }\n        }\n        if (coordsLen > currentEnd) {\n            ends.push(coordsLen);\n            currentEnd = coordsLen;\n        }\n    };\n    /**\n     * @private\n     * @param {PBF} pbf PBF\n     * @param {Object} rawFeature Raw Mapbox feature.\n     * @param {import(\"./Feature.js\").ReadOptions} options Read options.\n     * @return {import(\"../Feature.js\").FeatureLike} Feature.\n     */\n    MVT.prototype.createFeature_ = function (pbf, rawFeature, options) {\n        var type = rawFeature.type;\n        if (type === 0) {\n            return null;\n        }\n        var feature;\n        var values = rawFeature.properties;\n        var id;\n        if (!this.idProperty_) {\n            id = rawFeature.id;\n        }\n        else {\n            id = values[this.idProperty_];\n            delete values[this.idProperty_];\n        }\n        values[this.layerName_] = rawFeature.layer.name;\n        var flatCoordinates = [];\n        var ends = [];\n        this.readRawGeometry_(pbf, rawFeature, flatCoordinates, ends);\n        var geometryType = getGeometryType(type, ends.length);\n        if (this.featureClass_ === RenderFeature) {\n            feature = new this.featureClass_(geometryType, flatCoordinates, ends, values, id);\n            feature.transform(options.dataProjection);\n        }\n        else {\n            var geom = void 0;\n            if (geometryType == GeometryType.POLYGON) {\n                var endss = [];\n                var offset = 0;\n                var prevEndIndex = 0;\n                for (var i = 0, ii = ends.length; i < ii; ++i) {\n                    var end = ends[i];\n                    // classifies an array of rings into polygons with outer rings and holes\n                    if (!linearRingIsClockwise(flatCoordinates, offset, end, 2)) {\n                        endss.push(ends.slice(prevEndIndex, i + 1));\n                    }\n                    else {\n                        if (endss.length === 0) {\n                            continue;\n                        }\n                        endss[endss.length - 1].push(ends[prevEndIndex]);\n                    }\n                    prevEndIndex = i + 1;\n                    offset = end;\n                }\n                if (endss.length > 1) {\n                    geom = new MultiPolygon(flatCoordinates, GeometryLayout.XY, endss);\n                }\n                else {\n                    geom = new Polygon(flatCoordinates, GeometryLayout.XY, ends);\n                }\n            }\n            else {\n                geom =\n                    geometryType === GeometryType.POINT\n                        ? new Point(flatCoordinates, GeometryLayout.XY)\n                        : geometryType === GeometryType.LINE_STRING\n                            ? new LineString(flatCoordinates, GeometryLayout.XY)\n                            : geometryType === GeometryType.POLYGON\n                                ? new Polygon(flatCoordinates, GeometryLayout.XY, ends)\n                                : geometryType === GeometryType.MULTI_POINT\n                                    ? new MultiPoint(flatCoordinates, GeometryLayout.XY)\n                                    : geometryType === GeometryType.MULTI_LINE_STRING\n                                        ? new MultiLineString(flatCoordinates, GeometryLayout.XY, ends)\n                                        : null;\n            }\n            var ctor = /** @type {typeof import(\"../Feature.js\").default} */ (this.featureClass_);\n            feature = new ctor();\n            if (this.geometryName_) {\n                feature.setGeometryName(this.geometryName_);\n            }\n            var geometry = transformGeometryWithOptions(geom, false, options);\n            feature.setGeometry(geometry);\n            feature.setId(id);\n            feature.setProperties(values, true);\n        }\n        return feature;\n    };\n    /**\n     * @return {import(\"./FormatType.js\").default} Format.\n     */\n    MVT.prototype.getType = function () {\n        return FormatType.ARRAY_BUFFER;\n    };\n    /**\n     * Read all features.\n     *\n     * @param {ArrayBuffer} source Source.\n     * @param {import(\"./Feature.js\").ReadOptions} [opt_options] Read options.\n     * @return {Array<import(\"../Feature.js\").FeatureLike>} Features.\n     * @api\n     */\n    MVT.prototype.readFeatures = function (source, opt_options) {\n        var layers = this.layers_;\n        var options = /** @type {import(\"./Feature.js\").ReadOptions} */ (this.adaptOptions(opt_options));\n        var dataProjection = get(options.dataProjection);\n        dataProjection.setWorldExtent(options.extent);\n        options.dataProjection = dataProjection;\n        var pbf = new PBF(/** @type {ArrayBuffer} */ (source));\n        var pbfLayers = pbf.readFields(layersPBFReader, {});\n        var features = [];\n        for (var name_1 in pbfLayers) {\n            if (layers && layers.indexOf(name_1) == -1) {\n                continue;\n            }\n            var pbfLayer = pbfLayers[name_1];\n            var extent = pbfLayer ? [0, 0, pbfLayer.extent, pbfLayer.extent] : null;\n            dataProjection.setExtent(extent);\n            for (var i = 0, ii = pbfLayer.length; i < ii; ++i) {\n                var rawFeature = readRawFeature(pbf, pbfLayer, i);\n                features.push(this.createFeature_(pbf, rawFeature, options));\n            }\n        }\n        return features;\n    };\n    /**\n     * Read the projection from the source.\n     *\n     * @param {Document|Element|Object|string} source Source.\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     * @api\n     */\n    MVT.prototype.readProjection = function (source) {\n        return this.dataProjection;\n    };\n    /**\n     * Sets the layers that features will be read from.\n     * @param {Array<string>} layers Layers.\n     * @api\n     */\n    MVT.prototype.setLayers = function (layers) {\n        this.layers_ = layers;\n    };\n    return MVT;\n}(FeatureFormat));\n/**\n * Reader callback for parsing layers.\n * @param {number} tag The tag.\n * @param {Object} layers The layers object.\n * @param {PBF} pbf The PBF.\n */\nfunction layersPBFReader(tag, layers, pbf) {\n    if (tag === 3) {\n        var layer = {\n            keys: [],\n            values: [],\n            features: [],\n        };\n        var end = pbf.readVarint() + pbf.pos;\n        pbf.readFields(layerPBFReader, layer, end);\n        layer.length = layer.features.length;\n        if (layer.length) {\n            layers[layer.name] = layer;\n        }\n    }\n}\n/**\n * Reader callback for parsing layer.\n * @param {number} tag The tag.\n * @param {Object} layer The layer object.\n * @param {PBF} pbf The PBF.\n */\nfunction layerPBFReader(tag, layer, pbf) {\n    if (tag === 15) {\n        layer.version = pbf.readVarint();\n    }\n    else if (tag === 1) {\n        layer.name = pbf.readString();\n    }\n    else if (tag === 5) {\n        layer.extent = pbf.readVarint();\n    }\n    else if (tag === 2) {\n        layer.features.push(pbf.pos);\n    }\n    else if (tag === 3) {\n        layer.keys.push(pbf.readString());\n    }\n    else if (tag === 4) {\n        var value = null;\n        var end = pbf.readVarint() + pbf.pos;\n        while (pbf.pos < end) {\n            tag = pbf.readVarint() >> 3;\n            value =\n                tag === 1\n                    ? pbf.readString()\n                    : tag === 2\n                        ? pbf.readFloat()\n                        : tag === 3\n                            ? pbf.readDouble()\n                            : tag === 4\n                                ? pbf.readVarint64()\n                                : tag === 5\n                                    ? pbf.readVarint()\n                                    : tag === 6\n                                        ? pbf.readSVarint()\n                                        : tag === 7\n                                            ? pbf.readBoolean()\n                                            : null;\n        }\n        layer.values.push(value);\n    }\n}\n/**\n * Reader callback for parsing feature.\n * @param {number} tag The tag.\n * @param {Object} feature The feature object.\n * @param {PBF} pbf The PBF.\n */\nfunction featurePBFReader(tag, feature, pbf) {\n    if (tag == 1) {\n        feature.id = pbf.readVarint();\n    }\n    else if (tag == 2) {\n        var end = pbf.readVarint() + pbf.pos;\n        while (pbf.pos < end) {\n            var key = feature.layer.keys[pbf.readVarint()];\n            var value = feature.layer.values[pbf.readVarint()];\n            feature.properties[key] = value;\n        }\n    }\n    else if (tag == 3) {\n        feature.type = pbf.readVarint();\n    }\n    else if (tag == 4) {\n        feature.geometry = pbf.pos;\n    }\n}\n/**\n * Read a raw feature from the pbf offset stored at index `i` in the raw layer.\n * @param {PBF} pbf PBF.\n * @param {Object} layer Raw layer.\n * @param {number} i Index of the feature in the raw layer's `features` array.\n * @return {Object} Raw feature.\n */\nfunction readRawFeature(pbf, layer, i) {\n    pbf.pos = layer.features[i];\n    var end = pbf.readVarint() + pbf.pos;\n    var feature = {\n        layer: layer,\n        type: 0,\n        properties: {},\n    };\n    pbf.readFields(featurePBFReader, feature, end);\n    return feature;\n}\n/**\n * @param {number} type The raw feature's geometry type\n * @param {number} numEnds Number of ends of the flat coordinates of the\n * geometry.\n * @return {import(\"../geom/GeometryType.js\").default} The geometry type.\n */\nfunction getGeometryType(type, numEnds) {\n    /** @type {import(\"../geom/GeometryType.js\").default} */\n    var geometryType;\n    if (type === 1) {\n        geometryType =\n            numEnds === 1 ? GeometryType.POINT : GeometryType.MULTI_POINT;\n    }\n    else if (type === 2) {\n        geometryType =\n            numEnds === 1 ? GeometryType.LINE_STRING : GeometryType.MULTI_LINE_STRING;\n    }\n    else if (type === 3) {\n        geometryType = GeometryType.POLYGON;\n        // MultiPolygon not relevant for rendering - winding order determines\n        // outer rings of polygons.\n    }\n    return geometryType;\n}\nexport default MVT;\n//# sourceMappingURL=MVT.js.map","/**\n * @module ol/webgl\n */\nimport { assign } from './obj.js';\n/**\n * Constants taken from goog.webgl\n */\n/**\n * Used by {@link module:ol/webgl/Helper~WebGLHelper} for buffers containing vertices data, such as\n * position, color, texture coordinate, etc. These vertices are then referenced by an index buffer\n * to be drawn on screen (see {@link module:ol/webgl.ELEMENT_ARRAY_BUFFER}).\n * @const\n * @type {number}\n * @api\n */\nexport var ARRAY_BUFFER = 0x8892;\n/**\n * Used by {@link module:ol/webgl/Helper~WebGLHelper} for buffers containing indices data.\n * Index buffers are essentially lists of references to vertices defined in a vertex buffer\n * (see {@link module:ol/webgl.ARRAY_BUFFER}), and define the primitives (triangles) to be drawn.\n * @const\n * @type {number}\n * @api\n */\nexport var ELEMENT_ARRAY_BUFFER = 0x8893;\n/**\n * Used by {link module:ol/webgl/Buffer~WebGLArrayBuffer}.\n * @const\n * @type {number}\n * @api\n */\nexport var STREAM_DRAW = 0x88e0;\n/**\n * Used by {link module:ol/webgl/Buffer~WebGLArrayBuffer}.\n * @const\n * @type {number}\n * @api\n */\nexport var STATIC_DRAW = 0x88e4;\n/**\n * Used by {link module:ol/webgl/Buffer~WebGLArrayBuffer}.\n * @const\n * @type {number}\n * @api\n */\nexport var DYNAMIC_DRAW = 0x88e8;\n/**\n * @const\n * @type {number}\n */\nexport var UNSIGNED_BYTE = 0x1401;\n/**\n * @const\n * @type {number}\n */\nexport var UNSIGNED_SHORT = 0x1403;\n/**\n * @const\n * @type {number}\n */\nexport var UNSIGNED_INT = 0x1405;\n/**\n * @const\n * @type {number}\n */\nexport var FLOAT = 0x1406;\n/** end of goog.webgl constants\n */\n/**\n * @const\n * @type {Array<string>}\n */\nvar CONTEXT_IDS = ['experimental-webgl', 'webgl', 'webkit-3d', 'moz-webgl'];\n/**\n * @param {HTMLCanvasElement} canvas Canvas.\n * @param {Object} [opt_attributes] Attributes.\n * @return {WebGLRenderingContext} WebGL rendering context.\n */\nexport function getContext(canvas, opt_attributes) {\n    var attributes = assign({ preserveDrawingBuffer: true }, opt_attributes);\n    var ii = CONTEXT_IDS.length;\n    for (var i = 0; i < ii; ++i) {\n        try {\n            var context = canvas.getContext(CONTEXT_IDS[i], attributes);\n            if (context) {\n                return /** @type {!WebGLRenderingContext} */ (context);\n            }\n        }\n        catch (e) {\n            // pass\n        }\n    }\n    return null;\n}\n/**\n * @type {Array<string>}\n */\nvar supportedExtensions;\n/**\n * @return {Array<string>} List of supported WebGL extensions.\n */\nexport function getSupportedExtensions() {\n    if (!supportedExtensions) {\n        var canvas = document.createElement('canvas');\n        var gl = getContext(canvas);\n        if (gl) {\n            supportedExtensions = gl.getSupportedExtensions();\n        }\n    }\n    return supportedExtensions;\n}\n//# sourceMappingURL=webgl.js.map","/**\n * @module ol/webgl/Buffer\n */\nimport { ARRAY_BUFFER, ELEMENT_ARRAY_BUFFER } from '../webgl.js';\nimport { DYNAMIC_DRAW, STATIC_DRAW, STREAM_DRAW } from '../webgl.js';\nimport { assert } from '../asserts.js';\n/**\n * Used to describe the intended usage for the data: `STATIC_DRAW`, `STREAM_DRAW`\n * or `DYNAMIC_DRAW`.\n * @enum {number}\n */\nexport var BufferUsage = {\n    STATIC_DRAW: STATIC_DRAW,\n    STREAM_DRAW: STREAM_DRAW,\n    DYNAMIC_DRAW: DYNAMIC_DRAW,\n};\n/**\n * @classdesc\n * Object used to store an array of data as well as usage information for that data.\n * Stores typed arrays internally, either Float32Array or Uint16/32Array depending on\n * the buffer type (ARRAY_BUFFER or ELEMENT_ARRAY_BUFFER) and available extensions.\n *\n * To populate the array, you can either use:\n * * A size using `#ofSize(buffer)`\n * * An `ArrayBuffer` object using `#fromArrayBuffer(buffer)`\n * * A plain array using `#fromArray(array)`\n *\n * Note:\n * See the documentation of [WebGLRenderingContext.bufferData](https://developer.mozilla.org/en-US/docs/Web/API/WebGLRenderingContext/bufferData)\n * for more info on buffer usage.\n * @api\n */\nvar WebGLArrayBuffer = /** @class */ (function () {\n    /**\n     * @param {number} type Buffer type, either ARRAY_BUFFER or ELEMENT_ARRAY_BUFFER.\n     * @param {number} [opt_usage] Intended usage, either `STATIC_DRAW`, `STREAM_DRAW` or `DYNAMIC_DRAW`.\n     * Default is `DYNAMIC_DRAW`.\n     */\n    function WebGLArrayBuffer(type, opt_usage) {\n        /**\n         * @private\n         * @type {Float32Array|Uint32Array}\n         */\n        this.array = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        this.type = type;\n        assert(type === ARRAY_BUFFER || type === ELEMENT_ARRAY_BUFFER, 62);\n        /**\n         * @private\n         * @type {number}\n         */\n        this.usage = opt_usage !== undefined ? opt_usage : BufferUsage.STATIC_DRAW;\n    }\n    /**\n     * Populates the buffer with an array of the given size (all values will be zeroes).\n     * @param {number} size Array size\n     */\n    WebGLArrayBuffer.prototype.ofSize = function (size) {\n        this.array = new (getArrayClassForType(this.type))(size);\n    };\n    /**\n     * Populates the buffer with an array of the given size (all values will be zeroes).\n     * @param {Array<number>} array Numerical array\n     */\n    WebGLArrayBuffer.prototype.fromArray = function (array) {\n        var arrayClass = getArrayClassForType(this.type);\n        this.array = arrayClass.from\n            ? arrayClass.from(array)\n            : new arrayClass(array);\n    };\n    /**\n     * Populates the buffer with a raw binary array buffer.\n     * @param {ArrayBuffer} buffer Raw binary buffer to populate the array with. Note that this buffer must have been\n     * initialized for the same typed array class.\n     */\n    WebGLArrayBuffer.prototype.fromArrayBuffer = function (buffer) {\n        this.array = new (getArrayClassForType(this.type))(buffer);\n    };\n    /**\n     * @return {number} Buffer type.\n     */\n    WebGLArrayBuffer.prototype.getType = function () {\n        return this.type;\n    };\n    /**\n     * Will return null if the buffer was not initialized\n     * @return {Float32Array|Uint32Array} Array.\n     */\n    WebGLArrayBuffer.prototype.getArray = function () {\n        return this.array;\n    };\n    /**\n     * @return {number} Usage.\n     */\n    WebGLArrayBuffer.prototype.getUsage = function () {\n        return this.usage;\n    };\n    /**\n     * Will return 0 if the buffer is not initialized\n     * @return {number} Array size\n     */\n    WebGLArrayBuffer.prototype.getSize = function () {\n        return this.array ? this.array.length : 0;\n    };\n    return WebGLArrayBuffer;\n}());\n/**\n * Returns a typed array constructor based on the given buffer type\n * @param {number} type Buffer type, either ARRAY_BUFFER or ELEMENT_ARRAY_BUFFER.\n * @return {Float32ArrayConstructor|Uint32ArrayConstructor} The typed array class to use for this buffer.\n */\nexport function getArrayClassForType(type) {\n    switch (type) {\n        case ARRAY_BUFFER:\n            return Float32Array;\n        case ELEMENT_ARRAY_BUFFER:\n            return Uint32Array;\n        default:\n            return Float32Array;\n    }\n}\nexport default WebGLArrayBuffer;\n//# sourceMappingURL=Buffer.js.map","/**\n * @module ol/webgl/ContextEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    LOST: 'webglcontextlost',\n    RESTORED: 'webglcontextrestored',\n};\n//# sourceMappingURL=ContextEventType.js.map","/**\n * @module ol/webgl/PostProcessingPass\n */\nimport { getUid } from '../util.js';\nvar DEFAULT_VERTEX_SHADER = \"\\n  precision mediump float;\\n  \\n  attribute vec2 a_position;\\n  varying vec2 v_texCoord;\\n  varying vec2 v_screenCoord;\\n  \\n  uniform vec2 u_screenSize;\\n   \\n  void main() {\\n    v_texCoord = a_position * 0.5 + 0.5;\\n    v_screenCoord = v_texCoord * u_screenSize;\\n    gl_Position = vec4(a_position, 0.0, 1.0);\\n  }\\n\";\nvar DEFAULT_FRAGMENT_SHADER = \"\\n  precision mediump float;\\n   \\n  uniform sampler2D u_image;\\n  uniform float u_opacity;\\n   \\n  varying vec2 v_texCoord;\\n   \\n  void main() {\\n    gl_FragColor = texture2D(u_image, v_texCoord) * u_opacity;\\n  }\\n\";\n/**\n * @typedef {Object} Options\n * @property {WebGLRenderingContext} webGlContext WebGL context; mandatory.\n * @property {number} [scaleRatio] Scale ratio; if < 1, the post process will render to a texture smaller than\n * the main canvas that will then be sampled up (useful for saving resource on blur steps).\n * @property {string} [vertexShader] Vertex shader source\n * @property {string} [fragmentShader] Fragment shader source\n * @property {Object<string,import(\"./Helper\").UniformValue>} [uniforms] Uniform definitions for the post process step\n */\n/**\n * @typedef {Object} UniformInternalDescription\n * @property {import(\"./Helper\").UniformValue} value Value\n * @property {number} location Location\n * @property {WebGLTexture} [texture] Texture\n * @private\n */\n/**\n * @classdesc\n * This class is used to define Post Processing passes with custom shaders and uniforms.\n * This is used internally by {@link module:ol/webgl/Helper~WebGLHelper}.\n *\n * Please note that the final output on the DOM canvas is expected to have premultiplied alpha, which means that\n * a pixel which is 100% red with an opacity of 50% must have a color of (r=0.5, g=0, b=0, a=0.5).\n * Failing to provide pixel colors with premultiplied alpha will result in render anomalies.\n *\n * The default post-processing pass does *not* multiply color values with alpha value, it expects color values to be\n * premultiplied.\n *\n * Default shaders are shown hereafter:\n *\n * * Vertex shader:\n *\n *   ```\n *   precision mediump float;\n *\n *   attribute vec2 a_position;\n *   varying vec2 v_texCoord;\n *   varying vec2 v_screenCoord;\n *\n *   uniform vec2 u_screenSize;\n *\n *   void main() {\n *     v_texCoord = a_position * 0.5 + 0.5;\n *     v_screenCoord = v_texCoord * u_screenSize;\n *     gl_Position = vec4(a_position, 0.0, 1.0);\n *   }\n *   ```\n *\n * * Fragment shader:\n *\n *   ```\n *   precision mediump float;\n *\n *   uniform sampler2D u_image;\n *   uniform float u_opacity;\n *\n *   varying vec2 v_texCoord;\n *\n *   void main() {\n *     gl_FragColor = texture2D(u_image, v_texCoord) * u_opacity;\n *   }\n *   ```\n *\n * @api\n */\nvar WebGLPostProcessingPass = /** @class */ (function () {\n    /**\n     * @param {Options} options Options.\n     */\n    function WebGLPostProcessingPass(options) {\n        this.gl_ = options.webGlContext;\n        var gl = this.gl_;\n        this.scaleRatio_ = options.scaleRatio || 1;\n        this.renderTargetTexture_ = gl.createTexture();\n        this.renderTargetTextureSize_ = null;\n        this.frameBuffer_ = gl.createFramebuffer();\n        // compile the program for the frame buffer\n        // TODO: make compilation errors show up\n        var vertexShader = gl.createShader(gl.VERTEX_SHADER);\n        gl.shaderSource(vertexShader, options.vertexShader || DEFAULT_VERTEX_SHADER);\n        gl.compileShader(vertexShader);\n        var fragmentShader = gl.createShader(gl.FRAGMENT_SHADER);\n        gl.shaderSource(fragmentShader, options.fragmentShader || DEFAULT_FRAGMENT_SHADER);\n        gl.compileShader(fragmentShader);\n        this.renderTargetProgram_ = gl.createProgram();\n        gl.attachShader(this.renderTargetProgram_, vertexShader);\n        gl.attachShader(this.renderTargetProgram_, fragmentShader);\n        gl.linkProgram(this.renderTargetProgram_);\n        // bind the vertices buffer for the frame buffer\n        this.renderTargetVerticesBuffer_ = gl.createBuffer();\n        var verticesArray = [-1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1];\n        gl.bindBuffer(gl.ARRAY_BUFFER, this.renderTargetVerticesBuffer_);\n        gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(verticesArray), gl.STATIC_DRAW);\n        this.renderTargetAttribLocation_ = gl.getAttribLocation(this.renderTargetProgram_, 'a_position');\n        this.renderTargetUniformLocation_ = gl.getUniformLocation(this.renderTargetProgram_, 'u_screenSize');\n        this.renderTargetOpacityLocation_ = gl.getUniformLocation(this.renderTargetProgram_, 'u_opacity');\n        this.renderTargetTextureLocation_ = gl.getUniformLocation(this.renderTargetProgram_, 'u_image');\n        /**\n         * Holds info about custom uniforms used in the post processing pass\n         * @type {Array<UniformInternalDescription>}\n         * @private\n         */\n        this.uniforms_ = [];\n        options.uniforms &&\n            Object.keys(options.uniforms).forEach(function (name) {\n                this.uniforms_.push({\n                    value: options.uniforms[name],\n                    location: gl.getUniformLocation(this.renderTargetProgram_, name),\n                });\n            }.bind(this));\n    }\n    /**\n     * Get the WebGL rendering context\n     * @return {WebGLRenderingContext} The rendering context.\n     * @api\n     */\n    WebGLPostProcessingPass.prototype.getGL = function () {\n        return this.gl_;\n    };\n    /**\n     * Initialize the render target texture of the post process, make sure it is at the\n     * right size and bind it as a render target for the next draw calls.\n     * The last step to be initialized will be the one where the primitives are rendered.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState current frame state\n     * @api\n     */\n    WebGLPostProcessingPass.prototype.init = function (frameState) {\n        var gl = this.getGL();\n        var textureSize = [\n            gl.drawingBufferWidth * this.scaleRatio_,\n            gl.drawingBufferHeight * this.scaleRatio_,\n        ];\n        // rendering goes to my buffer\n        gl.bindFramebuffer(gl.FRAMEBUFFER, this.getFrameBuffer());\n        gl.viewport(0, 0, textureSize[0], textureSize[1]);\n        // if size has changed: adjust canvas & render target texture\n        if (!this.renderTargetTextureSize_ ||\n            this.renderTargetTextureSize_[0] !== textureSize[0] ||\n            this.renderTargetTextureSize_[1] !== textureSize[1]) {\n            this.renderTargetTextureSize_ = textureSize;\n            // create a new texture\n            var level = 0;\n            var internalFormat = gl.RGBA;\n            var border = 0;\n            var format = gl.RGBA;\n            var type = gl.UNSIGNED_BYTE;\n            var data = null;\n            gl.bindTexture(gl.TEXTURE_2D, this.renderTargetTexture_);\n            gl.texImage2D(gl.TEXTURE_2D, level, internalFormat, textureSize[0], textureSize[1], border, format, type, data);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n            // bind the texture to the framebuffer\n            gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, this.renderTargetTexture_, 0);\n        }\n    };\n    /**\n     * Render to the next postprocessing pass (or to the canvas if final pass).\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState current frame state\n     * @param {WebGLPostProcessingPass} [nextPass] Next pass, optional\n     * @param {function(WebGLRenderingContext, import(\"../PluggableMap.js\").FrameState):void} [preCompose] Called before composing.\n     * @param {function(WebGLRenderingContext, import(\"../PluggableMap.js\").FrameState):void} [postCompose] Called before composing.\n     * @api\n     */\n    WebGLPostProcessingPass.prototype.apply = function (frameState, nextPass, preCompose, postCompose) {\n        var gl = this.getGL();\n        var size = frameState.size;\n        gl.bindFramebuffer(gl.FRAMEBUFFER, nextPass ? nextPass.getFrameBuffer() : null);\n        gl.activeTexture(gl.TEXTURE0);\n        gl.bindTexture(gl.TEXTURE_2D, this.renderTargetTexture_);\n        if (!nextPass) {\n            // clear the canvas if we are the first to render to it\n            // and preserveDrawingBuffer is true\n            var canvasId = getUid(gl.canvas);\n            if (!frameState.renderTargets[canvasId]) {\n                var attributes = gl.getContextAttributes();\n                if (attributes && attributes.preserveDrawingBuffer) {\n                    gl.clearColor(0.0, 0.0, 0.0, 0.0);\n                    gl.clear(gl.COLOR_BUFFER_BIT);\n                }\n                frameState.renderTargets[canvasId] = true;\n            }\n        }\n        gl.enable(gl.BLEND);\n        gl.blendFunc(gl.ONE, gl.ONE_MINUS_SRC_ALPHA);\n        gl.viewport(0, 0, gl.drawingBufferWidth, gl.drawingBufferHeight);\n        gl.bindBuffer(gl.ARRAY_BUFFER, this.renderTargetVerticesBuffer_);\n        gl.useProgram(this.renderTargetProgram_);\n        gl.enableVertexAttribArray(this.renderTargetAttribLocation_);\n        gl.vertexAttribPointer(this.renderTargetAttribLocation_, 2, gl.FLOAT, false, 0, 0);\n        gl.uniform2f(this.renderTargetUniformLocation_, size[0], size[1]);\n        gl.uniform1i(this.renderTargetTextureLocation_, 0);\n        var opacity = frameState.layerStatesArray[frameState.layerIndex].opacity;\n        gl.uniform1f(this.renderTargetOpacityLocation_, opacity);\n        this.applyUniforms(frameState);\n        if (preCompose) {\n            preCompose(gl, frameState);\n        }\n        gl.drawArrays(gl.TRIANGLES, 0, 6);\n        if (postCompose) {\n            postCompose(gl, frameState);\n        }\n    };\n    /**\n     * @return {WebGLFramebuffer} Frame buffer\n     * @api\n     */\n    WebGLPostProcessingPass.prototype.getFrameBuffer = function () {\n        return this.frameBuffer_;\n    };\n    /**\n     * Sets the custom uniforms based on what was given in the constructor.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @private\n     */\n    WebGLPostProcessingPass.prototype.applyUniforms = function (frameState) {\n        var gl = this.getGL();\n        var value;\n        var textureSlot = 1;\n        this.uniforms_.forEach(function (uniform) {\n            value =\n                typeof uniform.value === 'function'\n                    ? uniform.value(frameState)\n                    : uniform.value;\n            // apply value based on type\n            if (value instanceof HTMLCanvasElement || value instanceof ImageData) {\n                // create a texture & put data\n                if (!uniform.texture) {\n                    uniform.texture = gl.createTexture();\n                }\n                gl.activeTexture(gl[\"TEXTURE\" + textureSlot]);\n                gl.bindTexture(gl.TEXTURE_2D, uniform.texture);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n                if (value instanceof ImageData) {\n                    gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, value.width, value.height, 0, gl.UNSIGNED_BYTE, new Uint8Array(value.data));\n                }\n                else {\n                    gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, value);\n                }\n                // fill texture slots\n                gl.uniform1i(uniform.location, textureSlot++);\n            }\n            else if (Array.isArray(value)) {\n                switch (value.length) {\n                    case 2:\n                        gl.uniform2f(uniform.location, value[0], value[1]);\n                        return;\n                    case 3:\n                        gl.uniform3f(uniform.location, value[0], value[1], value[2]);\n                        return;\n                    case 4:\n                        gl.uniform4f(uniform.location, value[0], value[1], value[2], value[3]);\n                        return;\n                    default:\n                        return;\n                }\n            }\n            else if (typeof value === 'number') {\n                gl.uniform1f(uniform.location, value);\n            }\n        });\n    };\n    return WebGLPostProcessingPass;\n}());\nexport default WebGLPostProcessingPass;\n//# sourceMappingURL=PostProcessingPass.js.map","/**\n * @module ol/vec/mat4\n */\n/**\n * @return {Array<number>} \"4x4 matrix representing a 3D identity transform.\"\n */\nexport function create() {\n    return [1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1];\n}\n/**\n * @param {Array<number>} mat4 Flattened 4x4 matrix receiving the result.\n * @param {import(\"../transform.js\").Transform} transform Transformation matrix.\n * @return {Array<number>} \"2D transformation matrix as flattened 4x4 matrix.\"\n */\nexport function fromTransform(mat4, transform) {\n    mat4[0] = transform[0];\n    mat4[1] = transform[1];\n    mat4[4] = transform[2];\n    mat4[5] = transform[3];\n    mat4[12] = transform[4];\n    mat4[13] = transform[5];\n    return mat4;\n}\n//# sourceMappingURL=mat4.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/webgl/Helper\n */\nimport ContextEventType from '../webgl/ContextEventType.js';\nimport Disposable from '../Disposable.js';\nimport WebGLPostProcessingPass from './PostProcessingPass.js';\nimport { FLOAT, UNSIGNED_BYTE, UNSIGNED_INT, UNSIGNED_SHORT, getContext, } from '../webgl.js';\nimport { clear } from '../obj.js';\nimport { compose as composeTransform, create as createTransform, reset as resetTransform, rotate as rotateTransform, scale as scaleTransform, } from '../transform.js';\nimport { create, fromTransform } from '../vec/mat4.js';\nimport { getUid } from '../util.js';\n/**\n * @typedef {Object} BufferCacheEntry\n * @property {import(\"./Buffer.js\").default} buffer Buffer.\n * @property {WebGLBuffer} webGlBuffer WebGlBuffer.\n */\n/**\n * Shader types, either `FRAGMENT_SHADER` or `VERTEX_SHADER`.\n * @enum {number}\n */\nexport var ShaderType = {\n    FRAGMENT_SHADER: 0x8b30,\n    VERTEX_SHADER: 0x8b31,\n};\n/**\n * Uniform names used in the default shaders: `PROJECTION_MATRIX`, `OFFSET_SCALE_MATRIX`.\n * and `OFFSET_ROTATION_MATRIX`.\n * @enum {string}\n */\nexport var DefaultUniform = {\n    PROJECTION_MATRIX: 'u_projectionMatrix',\n    OFFSET_SCALE_MATRIX: 'u_offsetScaleMatrix',\n    OFFSET_ROTATION_MATRIX: 'u_offsetRotateMatrix',\n    TIME: 'u_time',\n    ZOOM: 'u_zoom',\n    RESOLUTION: 'u_resolution',\n};\n/**\n * Attribute types, either `UNSIGNED_BYTE`, `UNSIGNED_SHORT`, `UNSIGNED_INT` or `FLOAT`\n * Note: an attribute stored in a `Float32Array` should be of type `FLOAT`.\n * @enum {number}\n */\nexport var AttributeType = {\n    UNSIGNED_BYTE: UNSIGNED_BYTE,\n    UNSIGNED_SHORT: UNSIGNED_SHORT,\n    UNSIGNED_INT: UNSIGNED_INT,\n    FLOAT: FLOAT,\n};\n/**\n * Description of an attribute in a buffer\n * @typedef {Object} AttributeDescription\n * @property {string} name Attribute name to use in shaders\n * @property {number} size Number of components per attributes\n * @property {AttributeType} [type] Attribute type, i.e. number of bytes used to store the value. This is\n * determined by the class of typed array which the buffer uses (eg. `Float32Array` for a `FLOAT` attribute).\n * Default is `FLOAT`.\n */\n/**\n * @typedef {number|Array<number>|HTMLCanvasElement|HTMLImageElement|ImageData|import(\"../transform\").Transform} UniformLiteralValue\n */\n/**\n * Uniform value can be a number, array of numbers (2 to 4), canvas element or a callback returning\n * one of the previous types.\n * @typedef {UniformLiteralValue|function(import(\"../PluggableMap.js\").FrameState):UniformLiteralValue} UniformValue\n */\n/**\n * @typedef {Object} PostProcessesOptions\n * @property {number} [scaleRatio] Scale ratio; if < 1, the post process will render to a texture smaller than\n * the main canvas which will then be sampled up (useful for saving resource on blur steps).\n * @property {string} [vertexShader] Vertex shader source\n * @property {string} [fragmentShader] Fragment shader source\n * @property {Object<string,UniformValue>} [uniforms] Uniform definitions for the post process step\n */\n/**\n * @typedef {Object} Options\n * @property {Object<string,UniformValue>} [uniforms] Uniform definitions; property names must match the uniform\n * names in the provided or default shaders.\n * @property {Array<PostProcessesOptions>} [postProcesses] Post-processes definitions\n * @property {string} [canvasCacheKey] The cache key for the canvas.\n */\n/**\n * @typedef {Object} UniformInternalDescription\n * @property {string} name Name\n * @property {UniformValue} [value] Value\n * @property {WebGLTexture} [texture] Texture\n * @private\n */\n/**\n * @typedef {Object} CanvasCacheItem\n * @property {HTMLCanvasElement} canvas Canvas element.\n * @property {number} users The count of users of this canvas.\n */\n/**\n * @type {Object<string,CanvasCacheItem>}\n */\nvar canvasCache = {};\n/**\n * @param {string} key The cache key for the canvas.\n * @return {string} The shared cache key.\n */\nfunction getSharedCanvasCacheKey(key) {\n    return 'shared/' + key;\n}\nvar uniqueCanvasCacheKeyCount = 0;\n/**\n * @return {string} The unique cache key.\n */\nfunction getUniqueCanvasCacheKey() {\n    var key = 'unique/' + uniqueCanvasCacheKeyCount;\n    uniqueCanvasCacheKeyCount += 1;\n    return key;\n}\n/**\n * @param {string} key The cache key for the canvas.\n * @return {HTMLCanvasElement} The canvas.\n */\nfunction getCanvas(key) {\n    var cacheItem = canvasCache[key];\n    if (!cacheItem) {\n        var canvas = document.createElement('canvas');\n        canvas.style.position = 'absolute';\n        canvas.style.left = '0';\n        cacheItem = { users: 0, canvas: canvas };\n        canvasCache[key] = cacheItem;\n    }\n    cacheItem.users += 1;\n    return cacheItem.canvas;\n}\n/**\n * @param {string} key The cache key for the canvas.\n */\nfunction releaseCanvas(key) {\n    var cacheItem = canvasCache[key];\n    if (!cacheItem) {\n        return;\n    }\n    cacheItem.users -= 1;\n    if (cacheItem.users > 0) {\n        return;\n    }\n    var canvas = cacheItem.canvas;\n    var gl = getContext(canvas);\n    var extension = gl.getExtension('WEBGL_lose_context');\n    if (extension) {\n        extension.loseContext();\n    }\n    delete canvasCache[key];\n}\n/**\n * @classdesc\n * This class is intended to provide low-level functions related to WebGL rendering, so that accessing\n * directly the WebGL API should not be required anymore.\n *\n * Several operations are handled by the `WebGLHelper` class:\n *\n * ### Define custom shaders and uniforms\n *\n *   *Shaders* are low-level programs executed on the GPU and written in GLSL. There are two types of shaders:\n *\n *   Vertex shaders are used to manipulate the position and attribute of *vertices* of rendered primitives (ie. corners of a square).\n *   Outputs are:\n *\n *   * `gl_Position`: position of the vertex in screen space\n *\n *   * Varyings usually prefixed with `v_` are passed on to the fragment shader\n *\n *   Fragment shaders are used to control the actual color of the pixels drawn on screen. Their only output is `gl_FragColor`.\n *\n *   Both shaders can take *uniforms* or *attributes* as input. Attributes are explained later. Uniforms are common, read-only values that\n *   can be changed at every frame and can be of type float, arrays of float or images.\n *\n *   Shaders must be compiled and assembled into a program like so:\n *   ```js\n *   // here we simply create two shaders and assemble them in a program which is then used\n *   // for subsequent rendering calls\n *   const vertexShader = new WebGLVertex(VERTEX_SHADER);\n *   const fragmentShader = new WebGLFragment(FRAGMENT_SHADER);\n *   const program = this.context.getProgram(fragmentShader, vertexShader);\n *   helper.useProgram(this.program);\n *   ```\n *\n *   Uniforms are defined using the `uniforms` option and can either be explicit values or callbacks taking the frame state as argument.\n *   You can also change their value along the way like so:\n *   ```js\n *   helper.setUniformFloatValue('u_value', valueAsNumber);\n *   ```\n *\n * ### Defining post processing passes\n *\n *   *Post processing* describes the act of rendering primitives to a texture, and then rendering this texture to the final canvas\n *   while applying special effects in screen space.\n *   Typical uses are: blurring, color manipulation, depth of field, filtering...\n *\n *   The `WebGLHelper` class offers the possibility to define post processes at creation time using the `postProcesses` option.\n *   A post process step accepts the following options:\n *\n *   * `fragmentShader` and `vertexShader`: text literals in GLSL language that will be compiled and used in the post processing step.\n *   * `uniforms`: uniforms can be defined for the post processing steps just like for the main render.\n *   * `scaleRatio`: allows using an intermediate texture smaller or higher than the final canvas in the post processing step.\n *     This is typically used in blur steps to reduce the performance overhead by using an already downsampled texture as input.\n *\n *   The {@link module:ol/webgl/PostProcessingPass~WebGLPostProcessingPass} class is used internally, refer to its documentation for more info.\n *\n * ### Binding WebGL buffers and flushing data into them\n *\n *   Data that must be passed to the GPU has to be transferred using {@link module:ol/webgl/Buffer~WebGLArrayBuffer} objects.\n *   A buffer has to be created only once, but must be bound every time the buffer content will be used for rendering.\n *   This is done using {@link bindBuffer}.\n *   When the buffer's array content has changed, the new data has to be flushed to the GPU memory; this is done using\n *   {@link flushBufferData}. Note: this operation is expensive and should be done as infrequently as possible.\n *\n *   When binding an array buffer, a `target` parameter must be given: it should be either {@link module:ol/webgl.ARRAY_BUFFER}\n *   (if the buffer contains vertices data) or {@link module:ol/webgl.ELEMENT_ARRAY_BUFFER} (if the buffer contains indices data).\n *\n *   Examples below:\n *   ```js\n *   // at initialization phase\n *   const verticesBuffer = new WebGLArrayBuffer([], DYNAMIC_DRAW);\n *   const indicesBuffer = new WebGLArrayBuffer([], DYNAMIC_DRAW);\n *\n *   // when array values have changed\n *   helper.flushBufferData(ARRAY_BUFFER, this.verticesBuffer);\n *   helper.flushBufferData(ELEMENT_ARRAY_BUFFER, this.indicesBuffer);\n *\n *   // at rendering phase\n *   helper.bindBuffer(ARRAY_BUFFER, this.verticesBuffer);\n *   helper.bindBuffer(ELEMENT_ARRAY_BUFFER, this.indicesBuffer);\n *   ```\n *\n * ### Specifying attributes\n *\n *   The GPU only receives the data as arrays of numbers. These numbers must be handled differently depending on what it describes (position, texture coordinate...).\n *   Attributes are used to specify these uses. Use {@link enableAttributeArray_} and either\n *   the default attribute names in {@link module:ol/webgl/Helper.DefaultAttrib} or custom ones.\n *\n *   Please note that you will have to specify the type and offset of the attributes in the data array. You can refer to the documentation of [WebGLRenderingContext.vertexAttribPointer](https://developer.mozilla.org/en-US/docs/Web/API/WebGLRenderingContext/vertexAttribPointer) for more explanation.\n *   ```js\n *   // here we indicate that the data array has the following structure:\n *   // [posX, posY, offsetX, offsetY, texCoordU, texCoordV, posX, posY, ...]\n *   helper.enableAttributes([\n *     {\n *        name: 'a_position',\n *        size: 2\n *     },\n *     {\n *       name: 'a_offset',\n *       size: 2\n *     },\n *     {\n *       name: 'a_texCoord',\n *       size: 2\n *     }\n *   ])\n *   ```\n *\n * ### Rendering primitives\n *\n *   Once all the steps above have been achieved, rendering primitives to the screen is done using {@link prepareDraw}, {@link drawElements} and {@link finalizeDraw}.\n *   ```js\n *   // frame preparation step\n *   helper.prepareDraw(frameState);\n *\n *   // call this for every data array that has to be rendered on screen\n *   helper.drawElements(0, this.indicesBuffer.getArray().length);\n *\n *   // finalize the rendering by applying post processes\n *   helper.finalizeDraw(frameState);\n *   ```\n *\n * For an example usage of this class, refer to {@link module:ol/renderer/webgl/PointsLayer~WebGLPointsLayerRenderer}.\n *\n *\n * @api\n */\nvar WebGLHelper = /** @class */ (function (_super) {\n    __extends(WebGLHelper, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function WebGLHelper(opt_options) {\n        var _this = _super.call(this) || this;\n        var options = opt_options || {};\n        /** @private */\n        _this.boundHandleWebGLContextLost_ = _this.handleWebGLContextLost.bind(_this);\n        /** @private */\n        _this.boundHandleWebGLContextRestored_ =\n            _this.handleWebGLContextRestored.bind(_this);\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.canvasCacheKey_ = options.canvasCacheKey\n            ? getSharedCanvasCacheKey(options.canvasCacheKey)\n            : getUniqueCanvasCacheKey();\n        /**\n         * @private\n         * @type {HTMLCanvasElement}\n         */\n        _this.canvas_ = getCanvas(_this.canvasCacheKey_);\n        /**\n         * @private\n         * @type {WebGLRenderingContext}\n         */\n        _this.gl_ = getContext(_this.canvas_);\n        /**\n         * @private\n         * @type {!Object<string, BufferCacheEntry>}\n         */\n        _this.bufferCache_ = {};\n        /**\n         * @private\n         * @type {Object<string, Object>}\n         */\n        _this.extensionCache_ = {};\n        /**\n         * @private\n         * @type {WebGLProgram}\n         */\n        _this.currentProgram_ = null;\n        _this.canvas_.addEventListener(ContextEventType.LOST, _this.boundHandleWebGLContextLost_);\n        _this.canvas_.addEventListener(ContextEventType.RESTORED, _this.boundHandleWebGLContextRestored_);\n        /**\n         * @private\n         * @type {import(\"../transform.js\").Transform}\n         */\n        _this.offsetRotateMatrix_ = createTransform();\n        /**\n         * @private\n         * @type {import(\"../transform.js\").Transform}\n         */\n        _this.offsetScaleMatrix_ = createTransform();\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.tmpMat4_ = create();\n        /**\n         * @private\n         * @type {Object<string, WebGLUniformLocation>}\n         */\n        _this.uniformLocations_ = {};\n        /**\n         * @private\n         * @type {Object<string, number>}\n         */\n        _this.attribLocations_ = {};\n        /**\n         * Holds info about custom uniforms used in the post processing pass.\n         * If the uniform is a texture, the WebGL Texture object will be stored here.\n         * @type {Array<UniformInternalDescription>}\n         * @private\n         */\n        _this.uniforms_ = [];\n        if (options.uniforms) {\n            _this.setUniforms(options.uniforms);\n        }\n        var gl = _this.getGL();\n        /**\n         * An array of PostProcessingPass objects is kept in this variable, built from the steps provided in the\n         * options. If no post process was given, a default one is used (so as not to have to make an exception to\n         * the frame buffer logic).\n         * @type {Array<WebGLPostProcessingPass>}\n         * @private\n         */\n        _this.postProcessPasses_ = options.postProcesses\n            ? options.postProcesses.map(function (options) {\n                return new WebGLPostProcessingPass({\n                    webGlContext: gl,\n                    scaleRatio: options.scaleRatio,\n                    vertexShader: options.vertexShader,\n                    fragmentShader: options.fragmentShader,\n                    uniforms: options.uniforms,\n                });\n            })\n            : [new WebGLPostProcessingPass({ webGlContext: gl })];\n        /**\n         * @type {string|null}\n         * @private\n         */\n        _this.shaderCompileErrors_ = null;\n        /**\n         * @type {number}\n         * @private\n         */\n        _this.startTime_ = Date.now();\n        return _this;\n    }\n    /**\n     * @param {Object<string, UniformValue>} uniforms Uniform definitions.\n     */\n    WebGLHelper.prototype.setUniforms = function (uniforms) {\n        this.uniforms_ = [];\n        for (var name_1 in uniforms) {\n            this.uniforms_.push({\n                name: name_1,\n                value: uniforms[name_1],\n            });\n        }\n        this.uniformLocations_ = {};\n    };\n    /**\n     * @param {string} canvasCacheKey The canvas cache key.\n     * @return {boolean} The provided key matches the one this helper was constructed with.\n     */\n    WebGLHelper.prototype.canvasCacheKeyMatches = function (canvasCacheKey) {\n        return this.canvasCacheKey_ === getSharedCanvasCacheKey(canvasCacheKey);\n    };\n    /**\n     * Get a WebGL extension.  If the extension is not supported, null is returned.\n     * Extensions are cached after they are enabled for the first time.\n     * @param {string} name The extension name.\n     * @return {Object} The extension or null if not supported.\n     */\n    WebGLHelper.prototype.getExtension = function (name) {\n        if (name in this.extensionCache_) {\n            return this.extensionCache_[name];\n        }\n        var extension = this.gl_.getExtension(name);\n        this.extensionCache_[name] = extension;\n        return extension;\n    };\n    /**\n     * Just bind the buffer if it's in the cache. Otherwise create\n     * the WebGL buffer, bind it, populate it, and add an entry to\n     * the cache.\n     * @param {import(\"./Buffer\").default} buffer Buffer.\n     * @api\n     */\n    WebGLHelper.prototype.bindBuffer = function (buffer) {\n        var gl = this.getGL();\n        var bufferKey = getUid(buffer);\n        var bufferCache = this.bufferCache_[bufferKey];\n        if (!bufferCache) {\n            var webGlBuffer = gl.createBuffer();\n            bufferCache = {\n                buffer: buffer,\n                webGlBuffer: webGlBuffer,\n            };\n            this.bufferCache_[bufferKey] = bufferCache;\n        }\n        gl.bindBuffer(buffer.getType(), bufferCache.webGlBuffer);\n    };\n    /**\n     * Update the data contained in the buffer array; this is required for the\n     * new data to be rendered\n     * @param {import(\"./Buffer\").default} buffer Buffer.\n     * @api\n     */\n    WebGLHelper.prototype.flushBufferData = function (buffer) {\n        var gl = this.getGL();\n        this.bindBuffer(buffer);\n        gl.bufferData(buffer.getType(), buffer.getArray(), buffer.getUsage());\n    };\n    /**\n     * @param {import(\"./Buffer.js\").default} buf Buffer.\n     */\n    WebGLHelper.prototype.deleteBuffer = function (buf) {\n        var gl = this.getGL();\n        var bufferKey = getUid(buf);\n        var bufferCacheEntry = this.bufferCache_[bufferKey];\n        if (bufferCacheEntry && !gl.isContextLost()) {\n            gl.deleteBuffer(bufferCacheEntry.webGlBuffer);\n        }\n        delete this.bufferCache_[bufferKey];\n    };\n    /**\n     * Clean up.\n     */\n    WebGLHelper.prototype.disposeInternal = function () {\n        this.canvas_.removeEventListener(ContextEventType.LOST, this.boundHandleWebGLContextLost_);\n        this.canvas_.removeEventListener(ContextEventType.RESTORED, this.boundHandleWebGLContextRestored_);\n        releaseCanvas(this.canvasCacheKey_);\n        delete this.gl_;\n        delete this.canvas_;\n    };\n    /**\n     * Clear the buffer & set the viewport to draw.\n     * Post process passes will be initialized here, the first one being bound as a render target for\n     * subsequent draw calls.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState current frame state\n     * @param {boolean} [opt_disableAlphaBlend] If true, no alpha blending will happen.\n     * @api\n     */\n    WebGLHelper.prototype.prepareDraw = function (frameState, opt_disableAlphaBlend) {\n        var gl = this.getGL();\n        var canvas = this.getCanvas();\n        var size = frameState.size;\n        var pixelRatio = frameState.pixelRatio;\n        canvas.width = size[0] * pixelRatio;\n        canvas.height = size[1] * pixelRatio;\n        canvas.style.width = size[0] + 'px';\n        canvas.style.height = size[1] + 'px';\n        gl.useProgram(this.currentProgram_);\n        // loop backwards in post processes list\n        for (var i = this.postProcessPasses_.length - 1; i >= 0; i--) {\n            this.postProcessPasses_[i].init(frameState);\n        }\n        gl.bindTexture(gl.TEXTURE_2D, null);\n        gl.clearColor(0.0, 0.0, 0.0, 0.0);\n        gl.clear(gl.COLOR_BUFFER_BIT);\n        gl.enable(gl.BLEND);\n        gl.blendFunc(gl.ONE, opt_disableAlphaBlend ? gl.ZERO : gl.ONE_MINUS_SRC_ALPHA);\n        gl.useProgram(this.currentProgram_);\n        this.applyFrameState(frameState);\n        this.applyUniforms(frameState);\n    };\n    /**\n     * Clear the render target & bind it for future draw operations.\n     * This is similar to `prepareDraw`, only post processes will not be applied.\n     * Note: the whole viewport will be drawn to the render target, regardless of its size.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState current frame state\n     * @param {import(\"./RenderTarget.js\").default} renderTarget Render target to draw to\n     * @param {boolean} [opt_disableAlphaBlend] If true, no alpha blending will happen.\n     */\n    WebGLHelper.prototype.prepareDrawToRenderTarget = function (frameState, renderTarget, opt_disableAlphaBlend) {\n        var gl = this.getGL();\n        var size = renderTarget.getSize();\n        gl.bindFramebuffer(gl.FRAMEBUFFER, renderTarget.getFramebuffer());\n        gl.viewport(0, 0, size[0], size[1]);\n        gl.bindTexture(gl.TEXTURE_2D, renderTarget.getTexture());\n        gl.clearColor(0.0, 0.0, 0.0, 0.0);\n        gl.clear(gl.COLOR_BUFFER_BIT);\n        gl.enable(gl.BLEND);\n        gl.blendFunc(gl.ONE, opt_disableAlphaBlend ? gl.ZERO : gl.ONE_MINUS_SRC_ALPHA);\n        gl.useProgram(this.currentProgram_);\n        this.applyFrameState(frameState);\n        this.applyUniforms(frameState);\n    };\n    /**\n     * Execute a draw call based on the currently bound program, texture, buffers, attributes.\n     * @param {number} start Start index.\n     * @param {number} end End index.\n     * @api\n     */\n    WebGLHelper.prototype.drawElements = function (start, end) {\n        var gl = this.getGL();\n        this.getExtension('OES_element_index_uint');\n        var elementType = gl.UNSIGNED_INT;\n        var elementSize = 4;\n        var numItems = end - start;\n        var offsetInBytes = start * elementSize;\n        gl.drawElements(gl.TRIANGLES, numItems, elementType, offsetInBytes);\n    };\n    /**\n     * Apply the successive post process passes which will eventually render to the actual canvas.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState current frame state\n     * @param {function(WebGLRenderingContext, import(\"../PluggableMap.js\").FrameState):void} [preCompose] Called before composing.\n     * @param {function(WebGLRenderingContext, import(\"../PluggableMap.js\").FrameState):void} [postCompose] Called before composing.\n     */\n    WebGLHelper.prototype.finalizeDraw = function (frameState, preCompose, postCompose) {\n        // apply post processes using the next one as target\n        for (var i = 0, ii = this.postProcessPasses_.length; i < ii; i++) {\n            if (i === ii - 1) {\n                this.postProcessPasses_[i].apply(frameState, null, preCompose, postCompose);\n            }\n            else {\n                this.postProcessPasses_[i].apply(frameState, this.postProcessPasses_[i + 1]);\n            }\n        }\n    };\n    /**\n     * @return {HTMLCanvasElement} Canvas.\n     * @api\n     */\n    WebGLHelper.prototype.getCanvas = function () {\n        return this.canvas_;\n    };\n    /**\n     * Get the WebGL rendering context\n     * @return {WebGLRenderingContext} The rendering context.\n     * @api\n     */\n    WebGLHelper.prototype.getGL = function () {\n        return this.gl_;\n    };\n    /**\n     * Sets the default matrix uniforms for a given frame state. This is called internally in `prepareDraw`.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @private\n     */\n    WebGLHelper.prototype.applyFrameState = function (frameState) {\n        var size = frameState.size;\n        var rotation = frameState.viewState.rotation;\n        var offsetScaleMatrix = resetTransform(this.offsetScaleMatrix_);\n        scaleTransform(offsetScaleMatrix, 2 / size[0], 2 / size[1]);\n        var offsetRotateMatrix = resetTransform(this.offsetRotateMatrix_);\n        if (rotation !== 0) {\n            rotateTransform(offsetRotateMatrix, -rotation);\n        }\n        this.setUniformMatrixValue(DefaultUniform.OFFSET_SCALE_MATRIX, fromTransform(this.tmpMat4_, offsetScaleMatrix));\n        this.setUniformMatrixValue(DefaultUniform.OFFSET_ROTATION_MATRIX, fromTransform(this.tmpMat4_, offsetRotateMatrix));\n        this.setUniformFloatValue(DefaultUniform.TIME, (Date.now() - this.startTime_) * 0.001);\n        this.setUniformFloatValue(DefaultUniform.ZOOM, frameState.viewState.zoom);\n        this.setUniformFloatValue(DefaultUniform.RESOLUTION, frameState.viewState.resolution);\n    };\n    /**\n     * Sets the custom uniforms based on what was given in the constructor. This is called internally in `prepareDraw`.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @private\n     */\n    WebGLHelper.prototype.applyUniforms = function (frameState) {\n        var gl = this.getGL();\n        var value;\n        var textureSlot = 0;\n        this.uniforms_.forEach(function (uniform) {\n            value =\n                typeof uniform.value === 'function'\n                    ? uniform.value(frameState)\n                    : uniform.value;\n            // apply value based on type\n            if (value instanceof HTMLCanvasElement ||\n                value instanceof HTMLImageElement ||\n                value instanceof ImageData) {\n                // create a texture & put data\n                if (!uniform.texture) {\n                    uniform.prevValue = undefined;\n                    uniform.texture = gl.createTexture();\n                }\n                gl.activeTexture(gl[\"TEXTURE\" + textureSlot]);\n                gl.bindTexture(gl.TEXTURE_2D, uniform.texture);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n                gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n                var imageReady = !(value instanceof HTMLImageElement) ||\n                    /** @type {HTMLImageElement} */ (value).complete;\n                if (imageReady && uniform.prevValue !== value) {\n                    uniform.prevValue = value;\n                    gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, value);\n                }\n                // fill texture slots by increasing index\n                gl.uniform1i(this.getUniformLocation(uniform.name), textureSlot++);\n            }\n            else if (Array.isArray(value) && value.length === 6) {\n                this.setUniformMatrixValue(uniform.name, fromTransform(this.tmpMat4_, value));\n            }\n            else if (Array.isArray(value) && value.length <= 4) {\n                switch (value.length) {\n                    case 2:\n                        gl.uniform2f(this.getUniformLocation(uniform.name), value[0], value[1]);\n                        return;\n                    case 3:\n                        gl.uniform3f(this.getUniformLocation(uniform.name), value[0], value[1], value[2]);\n                        return;\n                    case 4:\n                        gl.uniform4f(this.getUniformLocation(uniform.name), value[0], value[1], value[2], value[3]);\n                        return;\n                    default:\n                        return;\n                }\n            }\n            else if (typeof value === 'number') {\n                gl.uniform1f(this.getUniformLocation(uniform.name), value);\n            }\n        }.bind(this));\n    };\n    /**\n     * Use a program.  If the program is already in use, this will return `false`.\n     * @param {WebGLProgram} program Program.\n     * @return {boolean} Changed.\n     * @api\n     */\n    WebGLHelper.prototype.useProgram = function (program) {\n        if (program == this.currentProgram_) {\n            return false;\n        }\n        else {\n            var gl = this.getGL();\n            gl.useProgram(program);\n            this.currentProgram_ = program;\n            this.uniformLocations_ = {};\n            this.attribLocations_ = {};\n            return true;\n        }\n    };\n    /**\n     * Will attempt to compile a vertex or fragment shader based on source\n     * On error, the shader will be returned but\n     * `gl.getShaderParameter(shader, gl.COMPILE_STATUS)` will return `true`\n     * Use `gl.getShaderInfoLog(shader)` to have details\n     * @param {string} source Shader source\n     * @param {ShaderType} type VERTEX_SHADER or FRAGMENT_SHADER\n     * @return {WebGLShader} Shader object\n     */\n    WebGLHelper.prototype.compileShader = function (source, type) {\n        var gl = this.getGL();\n        var shader = gl.createShader(type);\n        gl.shaderSource(shader, source);\n        gl.compileShader(shader);\n        return shader;\n    };\n    /**\n     * Create a program for a vertex and fragment shader.  Throws if shader compilation fails.\n     * @param {string} fragmentShaderSource Fragment shader source.\n     * @param {string} vertexShaderSource Vertex shader source.\n     * @return {WebGLProgram} Program\n     * @api\n     */\n    WebGLHelper.prototype.getProgram = function (fragmentShaderSource, vertexShaderSource) {\n        var gl = this.getGL();\n        var fragmentShader = this.compileShader(fragmentShaderSource, gl.FRAGMENT_SHADER);\n        var vertexShader = this.compileShader(vertexShaderSource, gl.VERTEX_SHADER);\n        var program = gl.createProgram();\n        gl.attachShader(program, fragmentShader);\n        gl.attachShader(program, vertexShader);\n        gl.linkProgram(program);\n        if (!gl.getShaderParameter(fragmentShader, gl.COMPILE_STATUS)) {\n            var message = \"Fragment shader compliation failed: \" + gl.getShaderInfoLog(fragmentShader);\n            throw new Error(message);\n        }\n        gl.deleteShader(fragmentShader);\n        if (!gl.getShaderParameter(vertexShader, gl.COMPILE_STATUS)) {\n            var message = \"Vertex shader compilation failed: \" + gl.getShaderInfoLog(vertexShader);\n            throw new Error(message);\n        }\n        gl.deleteShader(vertexShader);\n        if (!gl.getProgramParameter(program, gl.LINK_STATUS)) {\n            var message = \"GL program linking failed: \" + gl.getShaderInfoLog(vertexShader);\n            throw new Error(message);\n        }\n        return program;\n    };\n    /**\n     * Will get the location from the shader or the cache\n     * @param {string} name Uniform name\n     * @return {WebGLUniformLocation} uniformLocation\n     * @api\n     */\n    WebGLHelper.prototype.getUniformLocation = function (name) {\n        if (this.uniformLocations_[name] === undefined) {\n            this.uniformLocations_[name] = this.getGL().getUniformLocation(this.currentProgram_, name);\n        }\n        return this.uniformLocations_[name];\n    };\n    /**\n     * Will get the location from the shader or the cache\n     * @param {string} name Attribute name\n     * @return {number} attribLocation\n     * @api\n     */\n    WebGLHelper.prototype.getAttributeLocation = function (name) {\n        if (this.attribLocations_[name] === undefined) {\n            this.attribLocations_[name] = this.getGL().getAttribLocation(this.currentProgram_, name);\n        }\n        return this.attribLocations_[name];\n    };\n    /**\n     * Modifies the given transform to apply the rotation/translation/scaling of the given frame state.\n     * The resulting transform can be used to convert world space coordinates to view coordinates.\n     * @param {import(\"../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"../transform\").Transform} transform Transform to update.\n     * @return {import(\"../transform\").Transform} The updated transform object.\n     * @api\n     */\n    WebGLHelper.prototype.makeProjectionTransform = function (frameState, transform) {\n        var size = frameState.size;\n        var rotation = frameState.viewState.rotation;\n        var resolution = frameState.viewState.resolution;\n        var center = frameState.viewState.center;\n        resetTransform(transform);\n        composeTransform(transform, 0, 0, 2 / (resolution * size[0]), 2 / (resolution * size[1]), -rotation, -center[0], -center[1]);\n        return transform;\n    };\n    /**\n     * Give a value for a standard float uniform\n     * @param {string} uniform Uniform name\n     * @param {number} value Value\n     * @api\n     */\n    WebGLHelper.prototype.setUniformFloatValue = function (uniform, value) {\n        this.getGL().uniform1f(this.getUniformLocation(uniform), value);\n    };\n    /**\n     * Give a value for a standard matrix4 uniform\n     * @param {string} uniform Uniform name\n     * @param {Array<number>} value Matrix value\n     * @api\n     */\n    WebGLHelper.prototype.setUniformMatrixValue = function (uniform, value) {\n        this.getGL().uniformMatrix4fv(this.getUniformLocation(uniform), false, value);\n    };\n    /**\n     * Will set the currently bound buffer to an attribute of the shader program. Used by `#enableAttributes`\n     * internally.\n     * @param {string} attribName Attribute name\n     * @param {number} size Number of components per attributes\n     * @param {number} type UNSIGNED_INT, UNSIGNED_BYTE, UNSIGNED_SHORT or FLOAT\n     * @param {number} stride Stride in bytes (0 means attribs are packed)\n     * @param {number} offset Offset in bytes\n     * @private\n     */\n    WebGLHelper.prototype.enableAttributeArray_ = function (attribName, size, type, stride, offset) {\n        var location = this.getAttributeLocation(attribName);\n        // the attribute has not been found in the shaders; do not enable it\n        if (location < 0) {\n            return;\n        }\n        this.getGL().enableVertexAttribArray(location);\n        this.getGL().vertexAttribPointer(location, size, type, false, stride, offset);\n    };\n    /**\n     * Will enable the following attributes to be read from the currently bound buffer,\n     * i.e. tell the GPU where to read the different attributes in the buffer. An error in the\n     * size/type/order of attributes will most likely break the rendering and throw a WebGL exception.\n     * @param {Array<AttributeDescription>} attributes Ordered list of attributes to read from the buffer\n     * @api\n     */\n    WebGLHelper.prototype.enableAttributes = function (attributes) {\n        var stride = computeAttributesStride(attributes);\n        var offset = 0;\n        for (var i = 0; i < attributes.length; i++) {\n            var attr = attributes[i];\n            this.enableAttributeArray_(attr.name, attr.size, attr.type || FLOAT, stride, offset);\n            offset += attr.size * getByteSizeFromType(attr.type);\n        }\n    };\n    /**\n     * WebGL context was lost\n     * @private\n     */\n    WebGLHelper.prototype.handleWebGLContextLost = function () {\n        clear(this.bufferCache_);\n        this.currentProgram_ = null;\n    };\n    /**\n     * WebGL context was restored\n     * @private\n     */\n    WebGLHelper.prototype.handleWebGLContextRestored = function () { };\n    /**\n     * Will create or reuse a given webgl texture and apply the given size. If no image data\n     * specified, the texture will be empty, otherwise image data will be used and the `size`\n     * parameter will be ignored.\n     * Note: wrap parameters are set to clamp to edge, min filter is set to linear.\n     * @param {Array<number>} size Expected size of the texture\n     * @param {ImageData|HTMLImageElement|HTMLCanvasElement} [opt_data] Image data/object to bind to the texture\n     * @param {WebGLTexture} [opt_texture] Existing texture to reuse\n     * @return {WebGLTexture} The generated texture\n     * @api\n     */\n    WebGLHelper.prototype.createTexture = function (size, opt_data, opt_texture) {\n        var gl = this.getGL();\n        var texture = opt_texture || gl.createTexture();\n        // set params & size\n        var level = 0;\n        var internalFormat = gl.RGBA;\n        var border = 0;\n        var format = gl.RGBA;\n        var type = gl.UNSIGNED_BYTE;\n        gl.bindTexture(gl.TEXTURE_2D, texture);\n        if (opt_data) {\n            gl.texImage2D(gl.TEXTURE_2D, level, internalFormat, format, type, opt_data);\n        }\n        else {\n            gl.texImage2D(gl.TEXTURE_2D, level, internalFormat, size[0], size[1], border, format, type, null);\n        }\n        gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n        gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n        gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n        return texture;\n    };\n    return WebGLHelper;\n}(Disposable));\n/**\n * Compute a stride in bytes based on a list of attributes\n * @param {Array<AttributeDescription>} attributes Ordered list of attributes\n * @return {number} Stride, ie amount of values for each vertex in the vertex buffer\n * @api\n */\nexport function computeAttributesStride(attributes) {\n    var stride = 0;\n    for (var i = 0; i < attributes.length; i++) {\n        var attr = attributes[i];\n        stride += attr.size * getByteSizeFromType(attr.type);\n    }\n    return stride;\n}\n/**\n * Computes the size in byte of an attribute type.\n * @param {AttributeType} type Attribute type\n * @return {number} The size in bytes\n */\nfunction getByteSizeFromType(type) {\n    switch (type) {\n        case AttributeType.UNSIGNED_BYTE:\n            return Uint8Array.BYTES_PER_ELEMENT;\n        case AttributeType.UNSIGNED_SHORT:\n            return Uint16Array.BYTES_PER_ELEMENT;\n        case AttributeType.UNSIGNED_INT:\n            return Uint32Array.BYTES_PER_ELEMENT;\n        case AttributeType.FLOAT:\n        default:\n            return Float32Array.BYTES_PER_ELEMENT;\n    }\n}\nexport default WebGLHelper;\n//# sourceMappingURL=Helper.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/webgl/Layer\n */\nimport LayerProperty from '../../layer/Property.js';\nimport LayerRenderer from '../Layer.js';\nimport RenderEvent from '../../render/Event.js';\nimport RenderEventType from '../../render/EventType.js';\nimport WebGLHelper from '../../webgl/Helper.js';\nimport { compose as composeTransform, create as createTransform, } from '../../transform.js';\n/**\n * @enum {string}\n */\nexport var WebGLWorkerMessageType = {\n    GENERATE_BUFFERS: 'GENERATE_BUFFERS',\n};\n/**\n * @typedef {Object} WebGLWorkerGenerateBuffersMessage\n * This message will trigger the generation of a vertex and an index buffer based on the given render instructions.\n * When the buffers are generated, the worked will send a message of the same type to the main thread, with\n * the generated buffers in it.\n * Note that any addition properties present in the message *will* be sent back to the main thread.\n * @property {WebGLWorkerMessageType} type Message type\n * @property {ArrayBuffer} renderInstructions Render instructions raw binary buffer.\n * @property {ArrayBuffer} [vertexBuffer] Vertices array raw binary buffer (sent by the worker).\n * @property {ArrayBuffer} [indexBuffer] Indices array raw binary buffer (sent by the worker).\n * @property {number} [customAttributesCount] Amount of custom attributes count in the render instructions.\n */\n/**\n * @typedef {Object} PostProcessesOptions\n * @property {number} [scaleRatio] Scale ratio; if < 1, the post process will render to a texture smaller than\n * the main canvas that will then be sampled up (useful for saving resource on blur steps).\n * @property {string} [vertexShader] Vertex shader source\n * @property {string} [fragmentShader] Fragment shader source\n * @property {Object<string,import(\"../../webgl/Helper\").UniformValue>} [uniforms] Uniform definitions for the post process step\n */\n/**\n * @typedef {Object} Options\n * @property {Object<string,import(\"../../webgl/Helper\").UniformValue>} [uniforms] Uniform definitions for the post process steps\n * @property {Array<PostProcessesOptions>} [postProcesses] Post-processes definitions\n */\n/**\n * @classdesc\n * Base WebGL renderer class.\n * Holds all logic related to data manipulation & some common rendering logic\n * @template {import(\"../../layer/Layer.js\").default} LayerType\n * @extends {LayerRenderer<LayerType>}\n */\nvar WebGLLayerRenderer = /** @class */ (function (_super) {\n    __extends(WebGLLayerRenderer, _super);\n    /**\n     * @param {LayerType} layer Layer.\n     * @param {Options} [opt_options] Options.\n     */\n    function WebGLLayerRenderer(layer, opt_options) {\n        var _this = _super.call(this, layer) || this;\n        var options = opt_options || {};\n        /**\n         * The transform for viewport CSS pixels to rendered pixels.  This transform is only\n         * set before dispatching rendering events.\n         * @private\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.inversePixelTransform_ = createTransform();\n        /**\n         * @private\n         */\n        _this.postProcesses_ = options.postProcesses;\n        /**\n         * @private\n         */\n        _this.uniforms_ = options.uniforms;\n        /**\n         * @type {WebGLHelper}\n         * @protected\n         */\n        _this.helper;\n        layer.addChangeListener(LayerProperty.MAP, _this.removeHelper_.bind(_this));\n        _this.dispatchPreComposeEvent = _this.dispatchPreComposeEvent.bind(_this);\n        _this.dispatchPostComposeEvent = _this.dispatchPostComposeEvent.bind(_this);\n        return _this;\n    }\n    /**\n     * @param {WebGLRenderingContext} context The WebGL rendering context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.dispatchPreComposeEvent = function (context, frameState) {\n        var layer = this.getLayer();\n        if (layer.hasListener(RenderEventType.PRECOMPOSE)) {\n            var event_1 = new RenderEvent(RenderEventType.PRECOMPOSE, undefined, frameState, context);\n            layer.dispatchEvent(event_1);\n        }\n    };\n    /**\n     * @param {WebGLRenderingContext} context The WebGL rendering context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.dispatchPostComposeEvent = function (context, frameState) {\n        var layer = this.getLayer();\n        if (layer.hasListener(RenderEventType.POSTCOMPOSE)) {\n            var event_2 = new RenderEvent(RenderEventType.POSTCOMPOSE, undefined, frameState, context);\n            layer.dispatchEvent(event_2);\n        }\n    };\n    /**\n     * Reset options (only handles uniforms).\n     * @param {Options} options Options.\n     */\n    WebGLLayerRenderer.prototype.reset = function (options) {\n        this.uniforms_ = options.uniforms;\n        if (this.helper) {\n            this.helper.setUniforms(this.uniforms_);\n        }\n    };\n    WebGLLayerRenderer.prototype.removeHelper_ = function () {\n        if (this.helper) {\n            this.helper.dispose();\n            delete this.helper;\n        }\n    };\n    /**\n     * Determine whether renderFrame should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    WebGLLayerRenderer.prototype.prepareFrame = function (frameState) {\n        if (this.getLayer().getSource()) {\n            var incrementGroup = true;\n            var groupNumber = -1;\n            var className = void 0;\n            for (var i = 0, ii = frameState.layerStatesArray.length; i < ii; i++) {\n                var layer = frameState.layerStatesArray[i].layer;\n                var renderer = layer.getRenderer();\n                if (!(renderer instanceof WebGLLayerRenderer)) {\n                    incrementGroup = true;\n                    continue;\n                }\n                var layerClassName = layer.getClassName();\n                if (incrementGroup || layerClassName !== className) {\n                    groupNumber += 1;\n                    incrementGroup = false;\n                }\n                className = layerClassName;\n                if (renderer === this) {\n                    break;\n                }\n            }\n            var canvasCacheKey = 'map/' + frameState.mapId + '/group/' + groupNumber;\n            if (!this.helper || !this.helper.canvasCacheKeyMatches(canvasCacheKey)) {\n                if (this.helper) {\n                    this.helper.dispose();\n                }\n                this.helper = new WebGLHelper({\n                    postProcesses: this.postProcesses_,\n                    uniforms: this.uniforms_,\n                    canvasCacheKey: canvasCacheKey,\n                });\n                if (className) {\n                    this.helper.getCanvas().className = className;\n                }\n                this.afterHelperCreated();\n            }\n        }\n        return this.prepareFrameInternal(frameState);\n    };\n    /**\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.afterHelperCreated = function () { };\n    /**\n     * Determine whether renderFrame should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.prepareFrameInternal = function (frameState) {\n        return true;\n    };\n    /**\n     * Clean up.\n     */\n    WebGLLayerRenderer.prototype.disposeInternal = function () {\n        this.removeHelper_();\n        _super.prototype.disposeInternal.call(this);\n    };\n    /**\n     * @param {import(\"../../render/EventType.js\").default} type Event type.\n     * @param {WebGLRenderingContext} context The rendering context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @private\n     */\n    WebGLLayerRenderer.prototype.dispatchRenderEvent_ = function (type, context, frameState) {\n        var layer = this.getLayer();\n        if (layer.hasListener(type)) {\n            composeTransform(this.inversePixelTransform_, 0, 0, frameState.pixelRatio, -frameState.pixelRatio, 0, 0, -frameState.size[1]);\n            var event_3 = new RenderEvent(type, this.inversePixelTransform_, frameState, context);\n            layer.dispatchEvent(event_3);\n        }\n    };\n    /**\n     * @param {WebGLRenderingContext} context The rendering context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.preRender = function (context, frameState) {\n        this.dispatchRenderEvent_(RenderEventType.PRERENDER, context, frameState);\n    };\n    /**\n     * @param {WebGLRenderingContext} context The rendering context.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @protected\n     */\n    WebGLLayerRenderer.prototype.postRender = function (context, frameState) {\n        this.dispatchRenderEvent_(RenderEventType.POSTRENDER, context, frameState);\n    };\n    return WebGLLayerRenderer;\n}(LayerRenderer));\nvar tmpArray_ = [];\nvar bufferPositions_ = { vertexPosition: 0, indexPosition: 0 };\nfunction writePointVertex(buffer, pos, x, y, index) {\n    buffer[pos + 0] = x;\n    buffer[pos + 1] = y;\n    buffer[pos + 2] = index;\n}\n/**\n * An object holding positions both in an index and a vertex buffer.\n * @typedef {Object} BufferPositions\n * @property {number} vertexPosition Position in the vertex buffer\n * @property {number} indexPosition Position in the index buffer\n */\n/**\n * Pushes a quad (two triangles) based on a point geometry\n * @param {Float32Array} instructions Array of render instructions for points.\n * @param {number} elementIndex Index from which render instructions will be read.\n * @param {Float32Array} vertexBuffer Buffer in the form of a typed array.\n * @param {Uint32Array} indexBuffer Buffer in the form of a typed array.\n * @param {number} customAttributesCount Amount of custom attributes for each element.\n * @param {BufferPositions} [bufferPositions] Buffer write positions; if not specified, positions will be set at 0.\n * @return {BufferPositions} New buffer positions where to write next\n * @property {number} vertexPosition New position in the vertex buffer where future writes should start.\n * @property {number} indexPosition New position in the index buffer where future writes should start.\n * @private\n */\nexport function writePointFeatureToBuffers(instructions, elementIndex, vertexBuffer, indexBuffer, customAttributesCount, bufferPositions) {\n    // This is for x, y and index\n    var baseVertexAttrsCount = 3;\n    var baseInstructionsCount = 2;\n    var stride = baseVertexAttrsCount + customAttributesCount;\n    var x = instructions[elementIndex + 0];\n    var y = instructions[elementIndex + 1];\n    // read custom numerical attributes on the feature\n    var customAttrs = tmpArray_;\n    customAttrs.length = customAttributesCount;\n    for (var i = 0; i < customAttrs.length; i++) {\n        customAttrs[i] = instructions[elementIndex + baseInstructionsCount + i];\n    }\n    var vPos = bufferPositions ? bufferPositions.vertexPosition : 0;\n    var iPos = bufferPositions ? bufferPositions.indexPosition : 0;\n    var baseIndex = vPos / stride;\n    // push vertices for each of the four quad corners (first standard then custom attributes)\n    writePointVertex(vertexBuffer, vPos, x, y, 0);\n    customAttrs.length &&\n        vertexBuffer.set(customAttrs, vPos + baseVertexAttrsCount);\n    vPos += stride;\n    writePointVertex(vertexBuffer, vPos, x, y, 1);\n    customAttrs.length &&\n        vertexBuffer.set(customAttrs, vPos + baseVertexAttrsCount);\n    vPos += stride;\n    writePointVertex(vertexBuffer, vPos, x, y, 2);\n    customAttrs.length &&\n        vertexBuffer.set(customAttrs, vPos + baseVertexAttrsCount);\n    vPos += stride;\n    writePointVertex(vertexBuffer, vPos, x, y, 3);\n    customAttrs.length &&\n        vertexBuffer.set(customAttrs, vPos + baseVertexAttrsCount);\n    vPos += stride;\n    indexBuffer[iPos++] = baseIndex;\n    indexBuffer[iPos++] = baseIndex + 1;\n    indexBuffer[iPos++] = baseIndex + 3;\n    indexBuffer[iPos++] = baseIndex + 1;\n    indexBuffer[iPos++] = baseIndex + 2;\n    indexBuffer[iPos++] = baseIndex + 3;\n    bufferPositions_.vertexPosition = vPos;\n    bufferPositions_.indexPosition = iPos;\n    return bufferPositions_;\n}\n/**\n * Returns a texture of 1x1 pixel, white\n * @private\n * @return {ImageData} Image data.\n */\nexport function getBlankImageData() {\n    var canvas = document.createElement('canvas');\n    var image = canvas.getContext('2d').createImageData(1, 1);\n    image.data[0] = 255;\n    image.data[1] = 255;\n    image.data[2] = 255;\n    image.data[3] = 255;\n    return image;\n}\n/**\n * Generates a color array based on a numerical id\n * Note: the range for each component is 0 to 1 with 256 steps\n * @param {number} id Id\n * @param {Array<number>} [opt_array] Reusable array\n * @return {Array<number>} Color array containing the encoded id\n */\nexport function colorEncodeId(id, opt_array) {\n    var array = opt_array || [];\n    var radix = 256;\n    var divide = radix - 1;\n    array[0] = Math.floor(id / radix / radix / radix) / divide;\n    array[1] = (Math.floor(id / radix / radix) % radix) / divide;\n    array[2] = (Math.floor(id / radix) % radix) / divide;\n    array[3] = (id % radix) / divide;\n    return array;\n}\n/**\n * Reads an id from a color-encoded array\n * Note: the expected range for each component is 0 to 1 with 256 steps.\n * @param {Array<number>} color Color array containing the encoded id\n * @return {number} Decoded id\n */\nexport function colorDecodeId(color) {\n    var id = 0;\n    var radix = 256;\n    var mult = radix - 1;\n    id += Math.round(color[0] * radix * radix * radix * mult);\n    id += Math.round(color[1] * radix * radix * mult);\n    id += Math.round(color[2] * radix * mult);\n    id += Math.round(color[3] * mult);\n    return id;\n}\nexport default WebGLLayerRenderer;\n//# sourceMappingURL=Layer.js.map","/**\n * A wrapper class to simplify rendering to a texture instead of the final canvas\n * @module ol/webgl/RenderTarget\n */\nimport { equals } from '../array.js';\n// for pixel color reading\nvar tmpArray4 = new Uint8Array(4);\n/**\n * @classdesc\n * This class is a wrapper around the association of both a `WebGLTexture` and a `WebGLFramebuffer` instances,\n * simplifying initialization and binding for rendering.\n * @api\n */\nvar WebGLRenderTarget = /** @class */ (function () {\n    /**\n     * @param {import(\"./Helper.js\").default} helper WebGL helper; mandatory.\n     * @param {Array<number>} [opt_size] Expected size of the render target texture; note: this can be changed later on.\n     */\n    function WebGLRenderTarget(helper, opt_size) {\n        /**\n         * @private\n         * @type {import(\"./Helper.js\").default}\n         */\n        this.helper_ = helper;\n        var gl = helper.getGL();\n        /**\n         * @private\n         * @type {WebGLTexture}\n         */\n        this.texture_ = gl.createTexture();\n        /**\n         * @private\n         * @type {WebGLFramebuffer}\n         */\n        this.framebuffer_ = gl.createFramebuffer();\n        /**\n         * @type {Array<number>}\n         * @private\n         */\n        this.size_ = opt_size || [1, 1];\n        /**\n         * @type {Uint8Array}\n         * @private\n         */\n        this.data_ = new Uint8Array(0);\n        /**\n         * @type {boolean}\n         * @private\n         */\n        this.dataCacheDirty_ = true;\n        this.updateSize_();\n    }\n    /**\n     * Changes the size of the render target texture. Note: will do nothing if the size\n     * is already the same.\n     * @param {Array<number>} size Expected size of the render target texture\n     * @api\n     */\n    WebGLRenderTarget.prototype.setSize = function (size) {\n        if (equals(size, this.size_)) {\n            return;\n        }\n        this.size_[0] = size[0];\n        this.size_[1] = size[1];\n        this.updateSize_();\n    };\n    /**\n     * Returns the size of the render target texture\n     * @return {Array<number>} Size of the render target texture\n     * @api\n     */\n    WebGLRenderTarget.prototype.getSize = function () {\n        return this.size_;\n    };\n    /**\n     * This will cause following calls to `#readAll` or `#readPixel` to download the content of the\n     * render target into memory, which is an expensive operation.\n     * This content will be kept in cache but should be cleared after each new render.\n     * @api\n     */\n    WebGLRenderTarget.prototype.clearCachedData = function () {\n        this.dataCacheDirty_ = true;\n    };\n    /**\n     * Returns the full content of the frame buffer as a series of r, g, b, a components\n     * in the 0-255 range (unsigned byte).\n     * @return {Uint8Array} Integer array of color values\n     * @api\n     */\n    WebGLRenderTarget.prototype.readAll = function () {\n        if (this.dataCacheDirty_) {\n            var size = this.size_;\n            var gl = this.helper_.getGL();\n            gl.bindFramebuffer(gl.FRAMEBUFFER, this.framebuffer_);\n            gl.readPixels(0, 0, size[0], size[1], gl.RGBA, gl.UNSIGNED_BYTE, this.data_);\n            this.dataCacheDirty_ = false;\n        }\n        return this.data_;\n    };\n    /**\n     * Reads one pixel of the frame buffer as an array of r, g, b, a components\n     * in the 0-255 range (unsigned byte).\n     * If x and/or y are outside of existing data, an array filled with 0 is returned.\n     * @param {number} x Pixel coordinate\n     * @param {number} y Pixel coordinate\n     * @return {Uint8Array} Integer array with one color value (4 components)\n     * @api\n     */\n    WebGLRenderTarget.prototype.readPixel = function (x, y) {\n        if (x < 0 || y < 0 || x > this.size_[0] || y >= this.size_[1]) {\n            tmpArray4[0] = 0;\n            tmpArray4[1] = 0;\n            tmpArray4[2] = 0;\n            tmpArray4[3] = 0;\n            return tmpArray4;\n        }\n        this.readAll();\n        var index = Math.floor(x) + (this.size_[1] - Math.floor(y) - 1) * this.size_[0];\n        tmpArray4[0] = this.data_[index * 4];\n        tmpArray4[1] = this.data_[index * 4 + 1];\n        tmpArray4[2] = this.data_[index * 4 + 2];\n        tmpArray4[3] = this.data_[index * 4 + 3];\n        return tmpArray4;\n    };\n    /**\n     * @return {WebGLTexture} Texture to render to\n     */\n    WebGLRenderTarget.prototype.getTexture = function () {\n        return this.texture_;\n    };\n    /**\n     * @return {WebGLFramebuffer} Frame buffer of the render target\n     */\n    WebGLRenderTarget.prototype.getFramebuffer = function () {\n        return this.framebuffer_;\n    };\n    /**\n     * @private\n     */\n    WebGLRenderTarget.prototype.updateSize_ = function () {\n        var size = this.size_;\n        var gl = this.helper_.getGL();\n        this.texture_ = this.helper_.createTexture(size, null, this.texture_);\n        gl.bindFramebuffer(gl.FRAMEBUFFER, this.framebuffer_);\n        gl.viewport(0, 0, size[0], size[1]);\n        gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, this.texture_, 0);\n        this.data_ = new Uint8Array(size[0] * size[1] * 4);\n    };\n    return WebGLRenderTarget;\n}());\nexport default WebGLRenderTarget;\n//# sourceMappingURL=RenderTarget.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/webgl/PointsLayer\n */\nimport BaseVector from '../../layer/BaseVector.js';\nimport GeometryType from '../../geom/GeometryType.js';\nimport VectorEventType from '../../source/VectorEventType.js';\nimport ViewHint from '../../ViewHint.js';\nimport WebGLArrayBuffer from '../../webgl/Buffer.js';\nimport WebGLLayerRenderer, { WebGLWorkerMessageType, colorDecodeId, colorEncodeId, } from './Layer.js';\nimport WebGLRenderTarget from '../../webgl/RenderTarget.js';\nimport { ARRAY_BUFFER, DYNAMIC_DRAW, ELEMENT_ARRAY_BUFFER } from '../../webgl.js';\nimport { AttributeType, DefaultUniform } from '../../webgl/Helper.js';\nimport { apply as applyTransform, create as createTransform, makeInverse as makeInverseTransform, multiply as multiplyTransform, } from '../../transform.js';\nimport { assert } from '../../asserts.js';\nimport { buffer, createEmpty, equals } from '../../extent.js';\nimport { create as createWebGLWorker } from '../../worker/webgl.js';\nimport { getUid } from '../../util.js';\nimport { listen, unlistenByKey } from '../../events.js';\n/**\n * @typedef {Object} CustomAttribute A description of a custom attribute to be passed on to the GPU, with a value different\n * for each feature.\n * @property {string} name Attribute name.\n * @property {function(import(\"../../Feature\").default, Object<string, *>):number} callback This callback computes the numerical value of the\n * attribute for a given feature (properties are available as 2nd arg for quicker access).\n */\n/**\n * @typedef {Object} FeatureCacheItem Object that holds a reference to a feature, its geometry and properties. Used to optimize\n * rebuildBuffers by accessing these objects quicker.\n * @property {import(\"../../Feature\").default} feature Feature\n * @property {Object<string, *>} properties Feature properties\n * @property {import(\"../../geom\").Geometry} geometry Feature geometry\n */\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the canvas element.\n * @property {Array<CustomAttribute>} [attributes] These attributes will be read from the features in the source and then\n * passed to the GPU. The `name` property of each attribute will serve as its identifier:\n *  * In the vertex shader as an `attribute` by prefixing it with `a_`\n *  * In the fragment shader as a `varying` by prefixing it with `v_`\n * Please note that these can only be numerical values.\n * @property {string} vertexShader Vertex shader source, mandatory.\n * @property {string} fragmentShader Fragment shader source, mandatory.\n * @property {string} [hitVertexShader] Vertex shader source for hit detection rendering.\n * @property {string} [hitFragmentShader] Fragment shader source for hit detection rendering.\n * @property {Object<string,import(\"../../webgl/Helper\").UniformValue>} [uniforms] Uniform definitions for the post process steps\n * Please note that `u_texture` is reserved for the main texture slot and `u_opacity` is reserved for the layer opacity.\n * @property {Array<import(\"./Layer\").PostProcessesOptions>} [postProcesses] Post-processes definitions\n */\n/**\n * @classdesc\n * WebGL vector renderer optimized for points.\n * All features will be rendered as quads (two triangles forming a square). New data will be flushed to the GPU\n * every time the vector source changes.\n *\n * You need to provide vertex and fragment shaders for rendering. This can be done using\n * {@link module:ol/webgl/ShaderBuilder} utilities. These shaders shall expect a `a_position` attribute\n * containing the screen-space projected center of the quad, as well as a `a_index` attribute\n * whose value (0, 1, 2 or 3) indicates which quad vertex is currently getting processed (see structure below).\n *\n * To include variable attributes in the shaders, you need to declare them using the `attributes` property of\n * the options object like so:\n * ```js\n * new WebGLPointsLayerRenderer(layer, {\n *   attributes: [\n *     {\n *       name: 'size',\n *       callback: function(feature) {\n *         // compute something with the feature\n *       }\n *     },\n *     {\n *       name: 'weight',\n *       callback: function(feature) {\n *         // compute something with the feature\n *       }\n *     },\n *   ],\n *   vertexShader:\n *     // shader using attribute a_weight and a_size\n *   fragmentShader:\n *     // shader using varying v_weight and v_size\n * ```\n *\n * To enable hit detection, you must as well provide dedicated shaders using the `hitVertexShader`\n * and `hitFragmentShader` properties. These shall expect the `a_hitColor` attribute to contain\n * the final color that will have to be output for hit detection to work.\n *\n * The following uniform is used for the main texture: `u_texture`.\n * The following uniform is used for the layer opacity: `u_opacity`.\n *\n * Please note that the main shader output should have premultiplied alpha, otherwise visual anomalies may occur.\n *\n * Points are rendered as quads with the following structure:\n *\n * ```\n *   (u0, v1)      (u1, v1)\n *  [3]----------[2]\n *   |`           |\n *   |  `         |\n *   |    `       |\n *   |      `     |\n *   |        `   |\n *   |          ` |\n *  [0]----------[1]\n *   (u0, v0)      (u1, v0)\n *  ```\n *\n * This uses {@link module:ol/webgl/Helper~WebGLHelper} internally.\n *\n * @api\n */\nvar WebGLPointsLayerRenderer = /** @class */ (function (_super) {\n    __extends(WebGLPointsLayerRenderer, _super);\n    /**\n     * @param {import(\"../../layer/Layer.js\").default} layer Layer.\n     * @param {Options} options Options.\n     */\n    function WebGLPointsLayerRenderer(layer, options) {\n        var _this = this;\n        var uniforms = options.uniforms || {};\n        var projectionMatrixTransform = createTransform();\n        uniforms[DefaultUniform.PROJECTION_MATRIX] = projectionMatrixTransform;\n        _this = _super.call(this, layer, {\n            uniforms: uniforms,\n            postProcesses: options.postProcesses,\n        }) || this;\n        _this.sourceRevision_ = -1;\n        _this.verticesBuffer_ = new WebGLArrayBuffer(ARRAY_BUFFER, DYNAMIC_DRAW);\n        _this.hitVerticesBuffer_ = new WebGLArrayBuffer(ARRAY_BUFFER, DYNAMIC_DRAW);\n        _this.indicesBuffer_ = new WebGLArrayBuffer(ELEMENT_ARRAY_BUFFER, DYNAMIC_DRAW);\n        /**\n         * @private\n         */\n        _this.vertexShader_ = options.vertexShader;\n        /**\n         * @private\n         */\n        _this.fragmentShader_ = options.fragmentShader;\n        /**\n         * @type {WebGLProgram}\n         * @private\n         */\n        _this.program_;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        _this.hitDetectionEnabled_ =\n            options.hitFragmentShader && options.hitVertexShader ? true : false;\n        /**\n         * @private\n         */\n        _this.hitVertexShader_ = options.hitVertexShader;\n        /**\n         * @private\n         */\n        _this.hitFragmentShader_ = options.hitFragmentShader;\n        /**\n         * @type {WebGLProgram}\n         * @private\n         */\n        _this.hitProgram_;\n        var customAttributes = options.attributes\n            ? options.attributes.map(function (attribute) {\n                return {\n                    name: 'a_' + attribute.name,\n                    size: 1,\n                    type: AttributeType.FLOAT,\n                };\n            })\n            : [];\n        /**\n         * A list of attributes used by the renderer. By default only the position and\n         * index of the vertex (0 to 3) are required.\n         * @type {Array<import('../../webgl/Helper.js').AttributeDescription>}\n         */\n        _this.attributes = [\n            {\n                name: 'a_position',\n                size: 2,\n                type: AttributeType.FLOAT,\n            },\n            {\n                name: 'a_index',\n                size: 1,\n                type: AttributeType.FLOAT,\n            },\n        ].concat(customAttributes);\n        /**\n         * A list of attributes used for hit detection.\n         * @type {Array<import('../../webgl/Helper.js').AttributeDescription>}\n         */\n        _this.hitDetectionAttributes = [\n            {\n                name: 'a_position',\n                size: 2,\n                type: AttributeType.FLOAT,\n            },\n            {\n                name: 'a_index',\n                size: 1,\n                type: AttributeType.FLOAT,\n            },\n            {\n                name: 'a_hitColor',\n                size: 4,\n                type: AttributeType.FLOAT,\n            },\n            {\n                name: 'a_featureUid',\n                size: 1,\n                type: AttributeType.FLOAT,\n            },\n        ].concat(customAttributes);\n        _this.customAttributes = options.attributes ? options.attributes : [];\n        _this.previousExtent_ = createEmpty();\n        /**\n         * This transform is updated on every frame and is the composition of:\n         * - invert of the world->screen transform that was used when rebuilding buffers (see `this.renderTransform_`)\n         * - current world->screen transform\n         * @type {import(\"../../transform.js\").Transform}\n         * @private\n         */\n        _this.currentTransform_ = projectionMatrixTransform;\n        /**\n         * This transform is updated when buffers are rebuilt and converts world space coordinates to screen space\n         * @type {import(\"../../transform.js\").Transform}\n         * @private\n         */\n        _this.renderTransform_ = createTransform();\n        /**\n         * @type {import(\"../../transform.js\").Transform}\n         * @private\n         */\n        _this.invertRenderTransform_ = createTransform();\n        /**\n         * @type {Float32Array}\n         * @private\n         */\n        _this.renderInstructions_ = new Float32Array(0);\n        /**\n         * These instructions are used for hit detection\n         * @type {Float32Array}\n         * @private\n         */\n        _this.hitRenderInstructions_ = new Float32Array(0);\n        /**\n         * @type {WebGLRenderTarget}\n         * @private\n         */\n        _this.hitRenderTarget_;\n        _this.worker_ = createWebGLWorker();\n        _this.worker_.addEventListener('message', \n        /**\n         * @param {*} event Event.\n         * @this {WebGLPointsLayerRenderer}\n         */\n        function (event) {\n            var received = event.data;\n            if (received.type === WebGLWorkerMessageType.GENERATE_BUFFERS) {\n                var projectionTransform = received.projectionTransform;\n                if (received.hitDetection) {\n                    this.hitVerticesBuffer_.fromArrayBuffer(received.vertexBuffer);\n                    this.helper.flushBufferData(this.hitVerticesBuffer_);\n                }\n                else {\n                    this.verticesBuffer_.fromArrayBuffer(received.vertexBuffer);\n                    this.helper.flushBufferData(this.verticesBuffer_);\n                }\n                this.indicesBuffer_.fromArrayBuffer(received.indexBuffer);\n                this.helper.flushBufferData(this.indicesBuffer_);\n                this.renderTransform_ = projectionTransform;\n                makeInverseTransform(this.invertRenderTransform_, this.renderTransform_);\n                if (received.hitDetection) {\n                    this.hitRenderInstructions_ = new Float32Array(event.data.renderInstructions);\n                }\n                else {\n                    this.renderInstructions_ = new Float32Array(event.data.renderInstructions);\n                }\n                this.getLayer().changed();\n            }\n        }.bind(_this));\n        /**\n         * This object will be updated when the source changes. Key is uid.\n         * @type {Object<string, FeatureCacheItem>}\n         * @private\n         */\n        _this.featureCache_ = {};\n        /**\n         * Amount of features in the cache.\n         * @type {number}\n         * @private\n         */\n        _this.featureCount_ = 0;\n        var source = _this.getLayer().getSource();\n        _this.sourceListenKeys_ = [\n            listen(source, VectorEventType.ADDFEATURE, _this.handleSourceFeatureAdded_, _this),\n            listen(source, VectorEventType.CHANGEFEATURE, _this.handleSourceFeatureChanged_, _this),\n            listen(source, VectorEventType.REMOVEFEATURE, _this.handleSourceFeatureDelete_, _this),\n            listen(source, VectorEventType.CLEAR, _this.handleSourceFeatureClear_, _this),\n        ];\n        source.forEachFeature(function (feature) {\n            this.featureCache_[getUid(feature)] = {\n                feature: feature,\n                properties: feature.getProperties(),\n                geometry: feature.getGeometry(),\n            };\n            this.featureCount_++;\n        }.bind(_this));\n        return _this;\n    }\n    WebGLPointsLayerRenderer.prototype.afterHelperCreated = function () {\n        this.program_ = this.helper.getProgram(this.fragmentShader_, this.vertexShader_);\n        if (this.hitDetectionEnabled_) {\n            this.hitProgram_ = this.helper.getProgram(this.hitFragmentShader_, this.hitVertexShader_);\n            this.hitRenderTarget_ = new WebGLRenderTarget(this.helper);\n        }\n    };\n    /**\n     * @param {import(\"../../source/Vector.js\").VectorSourceEvent} event Event.\n     * @private\n     */\n    WebGLPointsLayerRenderer.prototype.handleSourceFeatureAdded_ = function (event) {\n        var feature = event.feature;\n        this.featureCache_[getUid(feature)] = {\n            feature: feature,\n            properties: feature.getProperties(),\n            geometry: feature.getGeometry(),\n        };\n        this.featureCount_++;\n    };\n    /**\n     * @param {import(\"../../source/Vector.js\").VectorSourceEvent} event Event.\n     * @private\n     */\n    WebGLPointsLayerRenderer.prototype.handleSourceFeatureChanged_ = function (event) {\n        var feature = event.feature;\n        this.featureCache_[getUid(feature)] = {\n            feature: feature,\n            properties: feature.getProperties(),\n            geometry: feature.getGeometry(),\n        };\n    };\n    /**\n     * @param {import(\"../../source/Vector.js\").VectorSourceEvent} event Event.\n     * @private\n     */\n    WebGLPointsLayerRenderer.prototype.handleSourceFeatureDelete_ = function (event) {\n        var feature = event.feature;\n        delete this.featureCache_[getUid(feature)];\n        this.featureCount_--;\n    };\n    /**\n     * @private\n     */\n    WebGLPointsLayerRenderer.prototype.handleSourceFeatureClear_ = function () {\n        this.featureCache_ = {};\n        this.featureCount_ = 0;\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {HTMLElement} The rendered element.\n     */\n    WebGLPointsLayerRenderer.prototype.renderFrame = function (frameState) {\n        var gl = this.helper.getGL();\n        this.preRender(gl, frameState);\n        var renderCount = this.indicesBuffer_.getSize();\n        this.helper.drawElements(0, renderCount);\n        this.helper.finalizeDraw(frameState, this.dispatchPreComposeEvent, this.dispatchPostComposeEvent);\n        var canvas = this.helper.getCanvas();\n        if (this.hitDetectionEnabled_) {\n            this.renderHitDetection(frameState);\n            this.hitRenderTarget_.clearCachedData();\n        }\n        this.postRender(gl, frameState);\n        return canvas;\n    };\n    /**\n     * Determine whether renderFrame should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    WebGLPointsLayerRenderer.prototype.prepareFrameInternal = function (frameState) {\n        var layer = this.getLayer();\n        var vectorSource = layer.getSource();\n        var viewState = frameState.viewState;\n        var viewNotMoving = !frameState.viewHints[ViewHint.ANIMATING] &&\n            !frameState.viewHints[ViewHint.INTERACTING];\n        var extentChanged = !equals(this.previousExtent_, frameState.extent);\n        var sourceChanged = this.sourceRevision_ < vectorSource.getRevision();\n        if (sourceChanged) {\n            this.sourceRevision_ = vectorSource.getRevision();\n        }\n        if (viewNotMoving && (extentChanged || sourceChanged)) {\n            var projection = viewState.projection;\n            var resolution = viewState.resolution;\n            var renderBuffer = layer instanceof BaseVector ? layer.getRenderBuffer() : 0;\n            var extent = buffer(frameState.extent, renderBuffer * resolution);\n            vectorSource.loadFeatures(extent, resolution, projection);\n            this.rebuildBuffers_(frameState);\n            this.previousExtent_ = frameState.extent.slice();\n        }\n        // apply the current projection transform with the invert of the one used to fill buffers\n        this.helper.makeProjectionTransform(frameState, this.currentTransform_);\n        multiplyTransform(this.currentTransform_, this.invertRenderTransform_);\n        this.helper.useProgram(this.program_);\n        this.helper.prepareDraw(frameState);\n        // write new data\n        this.helper.bindBuffer(this.verticesBuffer_);\n        this.helper.bindBuffer(this.indicesBuffer_);\n        this.helper.enableAttributes(this.attributes);\n        return true;\n    };\n    /**\n     * Rebuild internal webgl buffers based on current view extent; costly, should not be called too much\n     * @param {import(\"../../PluggableMap\").FrameState} frameState Frame state.\n     * @private\n     */\n    WebGLPointsLayerRenderer.prototype.rebuildBuffers_ = function (frameState) {\n        // saves the projection transform for the current frame state\n        var projectionTransform = createTransform();\n        this.helper.makeProjectionTransform(frameState, projectionTransform);\n        // here we anticipate the amount of render instructions that we well generate\n        // this can be done since we know that for normal render we only have x, y as base instructions,\n        // and x, y, r, g, b, a and featureUid for hit render instructions\n        // and we also know the amount of custom attributes to append to these\n        var totalInstructionsCount = (2 + this.customAttributes.length) * this.featureCount_;\n        if (!this.renderInstructions_ ||\n            this.renderInstructions_.length !== totalInstructionsCount) {\n            this.renderInstructions_ = new Float32Array(totalInstructionsCount);\n        }\n        if (this.hitDetectionEnabled_) {\n            var totalHitInstructionsCount = (7 + this.customAttributes.length) * this.featureCount_;\n            if (!this.hitRenderInstructions_ ||\n                this.hitRenderInstructions_.length !== totalHitInstructionsCount) {\n                this.hitRenderInstructions_ = new Float32Array(totalHitInstructionsCount);\n            }\n        }\n        // loop on features to fill the buffer\n        var featureCache, geometry;\n        var tmpCoords = [];\n        var tmpColor = [];\n        var renderIndex = 0;\n        var hitIndex = 0;\n        var hitColor;\n        for (var featureUid in this.featureCache_) {\n            featureCache = this.featureCache_[featureUid];\n            geometry = /** @type {import(\"../../geom\").Point} */ (featureCache.geometry);\n            if (!geometry || geometry.getType() !== GeometryType.POINT) {\n                continue;\n            }\n            tmpCoords[0] = geometry.getFlatCoordinates()[0];\n            tmpCoords[1] = geometry.getFlatCoordinates()[1];\n            applyTransform(projectionTransform, tmpCoords);\n            hitColor = colorEncodeId(hitIndex + 6, tmpColor);\n            this.renderInstructions_[renderIndex++] = tmpCoords[0];\n            this.renderInstructions_[renderIndex++] = tmpCoords[1];\n            // for hit detection, the feature uid is saved in the opacity value\n            // and the index of the opacity value is encoded in the color values\n            if (this.hitDetectionEnabled_) {\n                this.hitRenderInstructions_[hitIndex++] = tmpCoords[0];\n                this.hitRenderInstructions_[hitIndex++] = tmpCoords[1];\n                this.hitRenderInstructions_[hitIndex++] = hitColor[0];\n                this.hitRenderInstructions_[hitIndex++] = hitColor[1];\n                this.hitRenderInstructions_[hitIndex++] = hitColor[2];\n                this.hitRenderInstructions_[hitIndex++] = hitColor[3];\n                this.hitRenderInstructions_[hitIndex++] = Number(featureUid);\n            }\n            // pushing custom attributes\n            var value = void 0;\n            for (var j = 0; j < this.customAttributes.length; j++) {\n                value = this.customAttributes[j].callback(featureCache.feature, featureCache.properties);\n                this.renderInstructions_[renderIndex++] = value;\n                if (this.hitDetectionEnabled_) {\n                    this.hitRenderInstructions_[hitIndex++] = value;\n                }\n            }\n        }\n        /** @type {import('./Layer').WebGLWorkerGenerateBuffersMessage} */\n        var message = {\n            type: WebGLWorkerMessageType.GENERATE_BUFFERS,\n            renderInstructions: this.renderInstructions_.buffer,\n            customAttributesCount: this.customAttributes.length,\n        };\n        // additional properties will be sent back as-is by the worker\n        message['projectionTransform'] = projectionTransform;\n        this.worker_.postMessage(message, [this.renderInstructions_.buffer]);\n        this.renderInstructions_ = null;\n        /** @type {import('./Layer').WebGLWorkerGenerateBuffersMessage} */\n        if (this.hitDetectionEnabled_) {\n            var hitMessage = {\n                type: WebGLWorkerMessageType.GENERATE_BUFFERS,\n                renderInstructions: this.hitRenderInstructions_.buffer,\n                customAttributesCount: 5 + this.customAttributes.length,\n            };\n            hitMessage['projectionTransform'] = projectionTransform;\n            hitMessage['hitDetection'] = true;\n            this.worker_.postMessage(hitMessage, [\n                this.hitRenderInstructions_.buffer,\n            ]);\n            this.hitRenderInstructions_ = null;\n        }\n    };\n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {import(\"../vector.js\").FeatureCallback<T>} callback Feature callback.\n     * @param {Array<import(\"../Map.js\").HitMatch<T>>} matches The hit detected matches with tolerance.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    WebGLPointsLayerRenderer.prototype.forEachFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, callback, matches) {\n        assert(this.hitDetectionEnabled_, 66);\n        if (!this.hitRenderInstructions_) {\n            return undefined;\n        }\n        var pixel = applyTransform(frameState.coordinateToPixelTransform, coordinate.slice());\n        var data = this.hitRenderTarget_.readPixel(pixel[0] / 2, pixel[1] / 2);\n        var color = [data[0] / 255, data[1] / 255, data[2] / 255, data[3] / 255];\n        var index = colorDecodeId(color);\n        var opacity = this.hitRenderInstructions_[index];\n        var uid = Math.floor(opacity).toString();\n        var source = this.getLayer().getSource();\n        var feature = source.getFeatureByUid(uid);\n        if (feature) {\n            return callback(feature, this.getLayer(), null);\n        }\n        return undefined;\n    };\n    /**\n     * Render the hit detection data to the corresponding render target\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState current frame state\n     */\n    WebGLPointsLayerRenderer.prototype.renderHitDetection = function (frameState) {\n        // skip render entirely if vertex buffers not ready/generated yet\n        if (!this.hitVerticesBuffer_.getSize()) {\n            return;\n        }\n        this.hitRenderTarget_.setSize([\n            Math.floor(frameState.size[0] / 2),\n            Math.floor(frameState.size[1] / 2),\n        ]);\n        this.helper.useProgram(this.hitProgram_);\n        this.helper.prepareDrawToRenderTarget(frameState, this.hitRenderTarget_, true);\n        this.helper.bindBuffer(this.hitVerticesBuffer_);\n        this.helper.bindBuffer(this.indicesBuffer_);\n        this.helper.enableAttributes(this.hitDetectionAttributes);\n        var renderCount = this.indicesBuffer_.getSize();\n        this.helper.drawElements(0, renderCount);\n    };\n    /**\n     * Clean up.\n     */\n    WebGLPointsLayerRenderer.prototype.disposeInternal = function () {\n        this.worker_.terminate();\n        this.layer_ = null;\n        this.sourceListenKeys_.forEach(function (key) {\n            unlistenByKey(key);\n        });\n        this.sourceListenKeys_ = null;\n        _super.prototype.disposeInternal.call(this);\n    };\n    return WebGLPointsLayerRenderer;\n}(WebGLLayerRenderer));\nexport default WebGLPointsLayerRenderer;\n//# sourceMappingURL=PointsLayer.js.map","export function create() {\n    var source = \"var e=\\\"function\\\"==typeof Object.assign?Object.assign:function(e,n){if(null==e)throw new TypeError(\\\"Cannot convert undefined or null to object\\\");for(var t=Object(e),r=1,o=arguments.length;r<o;++r){var i=arguments[r];if(null!=i)for(var f in i)i.hasOwnProperty(f)&&(t[f]=i[f])}return t},n=\\\"GENERATE_BUFFERS\\\",t=[],r={vertexPosition:0,indexPosition:0};function o(e,n,t,r,o){e[n+0]=t,e[n+1]=r,e[n+2]=o}function i(e,n,i,f,s,u){var a=3+s,l=e[n+0],v=e[n+1],c=t;c.length=s;for(var g=0;g<c.length;g++)c[g]=e[n+2+g];var b=u?u.vertexPosition:0,h=u?u.indexPosition:0,d=b/a;return o(i,b,l,v,0),c.length&&i.set(c,b+3),o(i,b+=a,l,v,1),c.length&&i.set(c,b+3),o(i,b+=a,l,v,2),c.length&&i.set(c,b+3),o(i,b+=a,l,v,3),c.length&&i.set(c,b+3),b+=a,f[h++]=d,f[h++]=d+1,f[h++]=d+3,f[h++]=d+1,f[h++]=d+2,f[h++]=d+3,r.vertexPosition=b,r.indexPosition=h,r}var f=self;f.onmessage=function(t){var r=t.data;if(r.type===n){for(var o=r.customAttributesCount,s=2+o,u=new Float32Array(r.renderInstructions),a=u.length/s,l=4*a*(o+3),v=new Uint32Array(6*a),c=new Float32Array(l),g=null,b=0;b<u.length;b+=s)g=i(u,b,c,v,o,g);var h=e({vertexBuffer:c.buffer,indexBuffer:v.buffer,renderInstructions:u.buffer},r);f.postMessage(h,[c.buffer,v.buffer,u.buffer])}};\";\n    var blob = new Blob([source], { type: 'application/javascript' });\n    var url = URL.createObjectURL(blob);\n    return new Worker(url);\n}\n//# sourceMappingURL=webgl.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Heatmap\n */\nimport BaseVector from './BaseVector.js';\nimport WebGLPointsLayerRenderer from '../renderer/webgl/PointsLayer.js';\nimport { assign } from '../obj.js';\nimport { clamp } from '../math.js';\nimport { createCanvasContext2D } from '../dom.js';\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {Array<string>} [gradient=['#00f', '#0ff', '#0f0', '#ff0', '#f00']] The color gradient\n * of the heatmap, specified as an array of CSS color strings.\n * @property {number} [radius=8] Radius size in pixels.\n * @property {number} [blur=15] Blur size in pixels.\n * @property {string|function(import(\"../Feature.js\").default):number} [weight='weight'] The feature\n * attribute to use for the weight or a function that returns a weight from a feature. Weight values\n * should range from 0 to 1 (and values outside will be clamped to that range).\n * @property {import(\"../source/Vector.js\").default} [source] Source.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @enum {string}\n * @private\n */\nvar Property = {\n    BLUR: 'blur',\n    GRADIENT: 'gradient',\n    RADIUS: 'radius',\n};\n/**\n * @const\n * @type {Array<string>}\n */\nvar DEFAULT_GRADIENT = ['#00f', '#0ff', '#0f0', '#ff0', '#f00'];\n/**\n * @classdesc\n * Layer for rendering vector data as a heatmap.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @fires import(\"../render/Event.js\").RenderEvent\n * @extends {BaseVector<import(\"../source/Vector.js\").default, WebGLPointsLayerRenderer>}\n * @api\n */\nvar Heatmap = /** @class */ (function (_super) {\n    __extends(Heatmap, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function Heatmap(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var baseOptions = assign({}, options);\n        delete baseOptions.gradient;\n        delete baseOptions.radius;\n        delete baseOptions.blur;\n        delete baseOptions.weight;\n        _this = _super.call(this, baseOptions) || this;\n        /**\n         * @private\n         * @type {HTMLCanvasElement}\n         */\n        _this.gradient_ = null;\n        _this.addChangeListener(Property.GRADIENT, _this.handleGradientChanged_);\n        _this.setGradient(options.gradient ? options.gradient : DEFAULT_GRADIENT);\n        _this.setBlur(options.blur !== undefined ? options.blur : 15);\n        _this.setRadius(options.radius !== undefined ? options.radius : 8);\n        var weight = options.weight ? options.weight : 'weight';\n        if (typeof weight === 'string') {\n            _this.weightFunction_ = function (feature) {\n                return feature.get(weight);\n            };\n        }\n        else {\n            _this.weightFunction_ = weight;\n        }\n        // For performance reasons, don't sort the features before rendering.\n        // The render order is not relevant for a heatmap representation.\n        _this.setRenderOrder(null);\n        return _this;\n    }\n    /**\n     * Return the blur size in pixels.\n     * @return {number} Blur size in pixels.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.getBlur = function () {\n        return /** @type {number} */ (this.get(Property.BLUR));\n    };\n    /**\n     * Return the gradient colors as array of strings.\n     * @return {Array<string>} Colors.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.getGradient = function () {\n        return /** @type {Array<string>} */ (this.get(Property.GRADIENT));\n    };\n    /**\n     * Return the size of the radius in pixels.\n     * @return {number} Radius size in pixel.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.getRadius = function () {\n        return /** @type {number} */ (this.get(Property.RADIUS));\n    };\n    /**\n     * @private\n     */\n    Heatmap.prototype.handleGradientChanged_ = function () {\n        this.gradient_ = createGradient(this.getGradient());\n    };\n    /**\n     * Set the blur size in pixels.\n     * @param {number} blur Blur size in pixels.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.setBlur = function (blur) {\n        this.set(Property.BLUR, blur);\n    };\n    /**\n     * Set the gradient colors as array of strings.\n     * @param {Array<string>} colors Gradient.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.setGradient = function (colors) {\n        this.set(Property.GRADIENT, colors);\n    };\n    /**\n     * Set the size of the radius in pixels.\n     * @param {number} radius Radius size in pixel.\n     * @api\n     * @observable\n     */\n    Heatmap.prototype.setRadius = function (radius) {\n        this.set(Property.RADIUS, radius);\n    };\n    Heatmap.prototype.createRenderer = function () {\n        return new WebGLPointsLayerRenderer(this, {\n            className: this.getClassName(),\n            attributes: [\n                {\n                    name: 'weight',\n                    callback: function (feature) {\n                        var weight = this.weightFunction_(feature);\n                        return weight !== undefined ? clamp(weight, 0, 1) : 1;\n                    }.bind(this),\n                },\n            ],\n            vertexShader: \"\\n        precision mediump float;\\n        uniform mat4 u_projectionMatrix;\\n        uniform mat4 u_offsetScaleMatrix;\\n        uniform float u_size;\\n        attribute vec2 a_position;\\n        attribute float a_index;\\n        attribute float a_weight;\\n\\n        varying vec2 v_texCoord;\\n        varying float v_weight;\\n\\n        void main(void) {\\n          mat4 offsetMatrix = u_offsetScaleMatrix;\\n          float offsetX = a_index == 0.0 || a_index == 3.0 ? -u_size / 2.0 : u_size / 2.0;\\n          float offsetY = a_index == 0.0 || a_index == 1.0 ? -u_size / 2.0 : u_size / 2.0;\\n          vec4 offsets = offsetMatrix * vec4(offsetX, offsetY, 0.0, 0.0);\\n          gl_Position = u_projectionMatrix * vec4(a_position, 0.0, 1.0) + offsets;\\n          float u = a_index == 0.0 || a_index == 3.0 ? 0.0 : 1.0;\\n          float v = a_index == 0.0 || a_index == 1.0 ? 0.0 : 1.0;\\n          v_texCoord = vec2(u, v);\\n          v_weight = a_weight;\\n        }\",\n            fragmentShader: \"\\n        precision mediump float;\\n        uniform float u_blurSlope;\\n\\n        varying vec2 v_texCoord;\\n        varying float v_weight;\\n\\n        void main(void) {\\n          vec2 texCoord = v_texCoord * 2.0 - vec2(1.0, 1.0);\\n          float sqRadius = texCoord.x * texCoord.x + texCoord.y * texCoord.y;\\n          float value = (1.0 - sqrt(sqRadius)) * u_blurSlope;\\n          float alpha = smoothstep(0.0, 1.0, value) * v_weight;\\n          gl_FragColor = vec4(alpha, alpha, alpha, alpha);\\n        }\",\n            hitVertexShader: \"\\n        precision mediump float;\\n        uniform mat4 u_projectionMatrix;\\n        uniform mat4 u_offsetScaleMatrix;\\n        uniform float u_size;\\n        attribute vec2 a_position;\\n        attribute float a_index;\\n        attribute float a_weight;\\n        attribute vec4 a_hitColor;\\n\\n        varying vec2 v_texCoord;\\n        varying float v_weight;\\n        varying vec4 v_hitColor;\\n\\n        void main(void) {\\n          mat4 offsetMatrix = u_offsetScaleMatrix;\\n          float offsetX = a_index == 0.0 || a_index == 3.0 ? -u_size / 2.0 : u_size / 2.0;\\n          float offsetY = a_index == 0.0 || a_index == 1.0 ? -u_size / 2.0 : u_size / 2.0;\\n          vec4 offsets = offsetMatrix * vec4(offsetX, offsetY, 0.0, 0.0);\\n          gl_Position = u_projectionMatrix * vec4(a_position, 0.0, 1.0) + offsets;\\n          float u = a_index == 0.0 || a_index == 3.0 ? 0.0 : 1.0;\\n          float v = a_index == 0.0 || a_index == 1.0 ? 0.0 : 1.0;\\n          v_texCoord = vec2(u, v);\\n          v_hitColor = a_hitColor;\\n          v_weight = a_weight;\\n        }\",\n            hitFragmentShader: \"\\n        precision mediump float;\\n        uniform float u_blurSlope;\\n\\n        varying vec2 v_texCoord;\\n        varying float v_weight;\\n        varying vec4 v_hitColor;\\n\\n        void main(void) {\\n          vec2 texCoord = v_texCoord * 2.0 - vec2(1.0, 1.0);\\n          float sqRadius = texCoord.x * texCoord.x + texCoord.y * texCoord.y;\\n          float value = (1.0 - sqrt(sqRadius)) * u_blurSlope;\\n          float alpha = smoothstep(0.0, 1.0, value) * v_weight;\\n          if (alpha < 0.05) {\\n            discard;\\n          }\\n\\n          gl_FragColor = v_hitColor;\\n        }\",\n            uniforms: {\n                u_size: function () {\n                    return (this.get(Property.RADIUS) + this.get(Property.BLUR)) * 2;\n                }.bind(this),\n                u_blurSlope: function () {\n                    return (this.get(Property.RADIUS) / Math.max(1, this.get(Property.BLUR)));\n                }.bind(this),\n            },\n            postProcesses: [\n                {\n                    fragmentShader: \"\\n            precision mediump float;\\n\\n            uniform sampler2D u_image;\\n            uniform sampler2D u_gradientTexture;\\n            uniform float u_opacity;\\n\\n            varying vec2 v_texCoord;\\n\\n            void main() {\\n              vec4 color = texture2D(u_image, v_texCoord);\\n              gl_FragColor.a = color.a * u_opacity;\\n              gl_FragColor.rgb = texture2D(u_gradientTexture, vec2(0.5, color.a)).rgb;\\n              gl_FragColor.rgb *= gl_FragColor.a;\\n            }\",\n                    uniforms: {\n                        u_gradientTexture: function () {\n                            return this.gradient_;\n                        }.bind(this),\n                        u_opacity: function () {\n                            return this.getOpacity();\n                        }.bind(this),\n                    },\n                },\n            ],\n        });\n    };\n    Heatmap.prototype.renderDeclutter = function () { };\n    return Heatmap;\n}(BaseVector));\n/**\n * @param {Array<string>} colors A list of colored.\n * @return {HTMLCanvasElement} canvas with gradient texture.\n */\nfunction createGradient(colors) {\n    var width = 1;\n    var height = 256;\n    var context = createCanvasContext2D(width, height);\n    var gradient = context.createLinearGradient(0, 0, width, height);\n    var step = 1 / (colors.length - 1);\n    for (var i = 0, ii = colors.length; i < ii; ++i) {\n        gradient.addColorStop(i * step, colors[i]);\n    }\n    context.fillStyle = gradient;\n    context.fillRect(0, 0, width, height);\n    return context.canvas;\n}\nexport default Heatmap;\n//# sourceMappingURL=Heatmap.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/BaseImage\n */\nimport Layer from './Layer.js';\n/**\n * @template {import(\"../source/Image.js\").default} ImageSourceType\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {import(\"../PluggableMap.js\").default} [map] Sets the layer as overlay on a map. The map will not manage\n * this layer in its layers collection, and the layer will be rendered on top. This is useful for\n * temporary layers. The standard way to add a layer to a map and have it managed by the map is to\n * use {@link import(\"../PluggableMap.js\").default#addLayer map.addLayer()}.\n * @property {ImageSourceType} [source] Source for this layer.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @classdesc\n * Server-rendered images that are available for arbitrary extents and\n * resolutions.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Image.js\").default} ImageSourceType\n * @template {import(\"../renderer/Layer.js\").default} RendererType\n * @extends {Layer<ImageSourceType, RendererType>}\n * @api\n */\nvar BaseImageLayer = /** @class */ (function (_super) {\n    __extends(BaseImageLayer, _super);\n    /**\n     * @param {Options<ImageSourceType>} [opt_options] Layer options.\n     */\n    function BaseImageLayer(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        _this = _super.call(this, options) || this;\n        return _this;\n    }\n    return BaseImageLayer;\n}(Layer));\nexport default BaseImageLayer;\n//# sourceMappingURL=BaseImage.js.map","/**\n * @module ol/renderer/canvas/common\n */\n/**\n * Context options to disable image smoothing.\n * @type {Object}\n */\nexport var IMAGE_SMOOTHING_DISABLED = {\n    imageSmoothingEnabled: false,\n    msImageSmoothingEnabled: false,\n};\n//# sourceMappingURL=common.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/canvas/ImageLayer\n */\nimport CanvasLayerRenderer from './Layer.js';\nimport ViewHint from '../../ViewHint.js';\nimport { ENABLE_RASTER_REPROJECTION } from '../../reproj/common.js';\nimport { IMAGE_SMOOTHING_DISABLED } from './common.js';\nimport { assign } from '../../obj.js';\nimport { compose as composeTransform, makeInverse } from '../../transform.js';\nimport { containsExtent, intersects as intersectsExtent } from '../../extent.js';\nimport { fromUserExtent } from '../../proj.js';\nimport { getIntersection, isEmpty } from '../../extent.js';\nimport { toString as toTransformString } from '../../transform.js';\n/**\n * @classdesc\n * Canvas renderer for image layers.\n * @api\n */\nvar CanvasImageLayerRenderer = /** @class */ (function (_super) {\n    __extends(CanvasImageLayerRenderer, _super);\n    /**\n     * @param {import(\"../../layer/Image.js\").default} imageLayer Image layer.\n     */\n    function CanvasImageLayerRenderer(imageLayer) {\n        var _this = _super.call(this, imageLayer) || this;\n        /**\n         * @protected\n         * @type {?import(\"../../ImageBase.js\").default}\n         */\n        _this.image_ = null;\n        return _this;\n    }\n    /**\n     * @return {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} Image.\n     */\n    CanvasImageLayerRenderer.prototype.getImage = function () {\n        return !this.image_ ? null : this.image_.getImage();\n    };\n    /**\n     * Determine whether render should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    CanvasImageLayerRenderer.prototype.prepareFrame = function (frameState) {\n        var layerState = frameState.layerStatesArray[frameState.layerIndex];\n        var pixelRatio = frameState.pixelRatio;\n        var viewState = frameState.viewState;\n        var viewResolution = viewState.resolution;\n        var imageSource = this.getLayer().getSource();\n        var hints = frameState.viewHints;\n        var renderedExtent = frameState.extent;\n        if (layerState.extent !== undefined) {\n            renderedExtent = getIntersection(renderedExtent, fromUserExtent(layerState.extent, viewState.projection));\n        }\n        if (!hints[ViewHint.ANIMATING] &&\n            !hints[ViewHint.INTERACTING] &&\n            !isEmpty(renderedExtent)) {\n            if (imageSource) {\n                var projection = viewState.projection;\n                if (!ENABLE_RASTER_REPROJECTION) {\n                    var sourceProjection = imageSource.getProjection();\n                    if (sourceProjection) {\n                        projection = sourceProjection;\n                    }\n                }\n                var image = imageSource.getImage(renderedExtent, viewResolution, pixelRatio, projection);\n                if (image && this.loadImage(image)) {\n                    this.image_ = image;\n                }\n            }\n            else {\n                this.image_ = null;\n            }\n        }\n        return !!this.image_;\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target that may be used to render content to.\n     * @return {HTMLElement} The rendered element.\n     */\n    CanvasImageLayerRenderer.prototype.renderFrame = function (frameState, target) {\n        var image = this.image_;\n        var imageExtent = image.getExtent();\n        var imageResolution = image.getResolution();\n        var imagePixelRatio = image.getPixelRatio();\n        var layerState = frameState.layerStatesArray[frameState.layerIndex];\n        var pixelRatio = frameState.pixelRatio;\n        var viewState = frameState.viewState;\n        var viewCenter = viewState.center;\n        var viewResolution = viewState.resolution;\n        var size = frameState.size;\n        var scale = (pixelRatio * imageResolution) / (viewResolution * imagePixelRatio);\n        var width = Math.round(size[0] * pixelRatio);\n        var height = Math.round(size[1] * pixelRatio);\n        var rotation = viewState.rotation;\n        if (rotation) {\n            var size_1 = Math.round(Math.sqrt(width * width + height * height));\n            width = size_1;\n            height = size_1;\n        }\n        // set forward and inverse pixel transforms\n        composeTransform(this.pixelTransform, frameState.size[0] / 2, frameState.size[1] / 2, 1 / pixelRatio, 1 / pixelRatio, rotation, -width / 2, -height / 2);\n        makeInverse(this.inversePixelTransform, this.pixelTransform);\n        var canvasTransform = toTransformString(this.pixelTransform);\n        this.useContainer(target, canvasTransform, layerState.opacity);\n        var context = this.context;\n        var canvas = context.canvas;\n        if (canvas.width != width || canvas.height != height) {\n            canvas.width = width;\n            canvas.height = height;\n        }\n        else if (!this.containerReused) {\n            context.clearRect(0, 0, width, height);\n        }\n        // clipped rendering if layer extent is set\n        var clipped = false;\n        var render = true;\n        if (layerState.extent) {\n            var layerExtent = fromUserExtent(layerState.extent, viewState.projection);\n            render = intersectsExtent(layerExtent, frameState.extent);\n            clipped = render && !containsExtent(layerExtent, frameState.extent);\n            if (clipped) {\n                this.clipUnrotated(context, frameState, layerExtent);\n            }\n        }\n        var img = image.getImage();\n        var transform = composeTransform(this.tempTransform, width / 2, height / 2, scale, scale, 0, (imagePixelRatio * (imageExtent[0] - viewCenter[0])) / imageResolution, (imagePixelRatio * (viewCenter[1] - imageExtent[3])) / imageResolution);\n        this.renderedResolution = (imageResolution * pixelRatio) / imagePixelRatio;\n        var dw = img.width * transform[0];\n        var dh = img.height * transform[3];\n        if (!this.getLayer().getSource().getInterpolate()) {\n            assign(context, IMAGE_SMOOTHING_DISABLED);\n        }\n        this.preRender(context, frameState);\n        if (render && dw >= 0.5 && dh >= 0.5) {\n            var dx = transform[4];\n            var dy = transform[5];\n            var opacity = layerState.opacity;\n            var previousAlpha = void 0;\n            if (opacity !== 1) {\n                previousAlpha = context.globalAlpha;\n                context.globalAlpha = opacity;\n            }\n            context.drawImage(img, 0, 0, +img.width, +img.height, Math.round(dx), Math.round(dy), Math.round(dw), Math.round(dh));\n            if (opacity !== 1) {\n                context.globalAlpha = previousAlpha;\n            }\n        }\n        this.postRender(context, frameState);\n        if (clipped) {\n            context.restore();\n        }\n        if (canvasTransform !== canvas.style.transform) {\n            canvas.style.transform = canvasTransform;\n        }\n        return this.container;\n    };\n    return CanvasImageLayerRenderer;\n}(CanvasLayerRenderer));\nexport default CanvasImageLayerRenderer;\n//# sourceMappingURL=ImageLayer.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Image\n */\nimport BaseImageLayer from './BaseImage.js';\nimport CanvasImageLayerRenderer from '../renderer/canvas/ImageLayer.js';\n/**\n * @classdesc\n * Server-rendered images that are available for arbitrary extents and\n * resolutions.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Image.js\").default} ImageSourceType\n * @extends {BaseImageLayer<ImageSourceType, CanvasImageLayerRenderer>}\n * @api\n */\nvar ImageLayer = /** @class */ (function (_super) {\n    __extends(ImageLayer, _super);\n    /**\n     * @param {import(\"./BaseImage.js\").Options<ImageSourceType>} [opt_options] Layer options.\n     */\n    function ImageLayer(opt_options) {\n        return _super.call(this, opt_options) || this;\n    }\n    ImageLayer.prototype.createRenderer = function () {\n        return new CanvasImageLayerRenderer(this);\n    };\n    return ImageLayer;\n}(BaseImageLayer));\nexport default ImageLayer;\n//# sourceMappingURL=Image.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/canvas/TileLayer\n */\nimport CanvasLayerRenderer from './Layer.js';\nimport TileRange from '../../TileRange.js';\nimport TileState from '../../TileState.js';\nimport { IMAGE_SMOOTHING_DISABLED } from './common.js';\nimport { apply as applyTransform, compose as composeTransform, makeInverse, } from '../../transform.js';\nimport { assign } from '../../obj.js';\nimport { createEmpty, equals, getIntersection, getTopLeft, } from '../../extent.js';\nimport { cssOpacity } from '../../css.js';\nimport { fromUserExtent } from '../../proj.js';\nimport { getUid } from '../../util.js';\nimport { numberSafeCompareFunction } from '../../array.js';\nimport { toString as toTransformString } from '../../transform.js';\n/**\n * @classdesc\n * Canvas renderer for tile layers.\n * @api\n */\nvar CanvasTileLayerRenderer = /** @class */ (function (_super) {\n    __extends(CanvasTileLayerRenderer, _super);\n    /**\n     * @param {import(\"../../layer/Tile.js\").default|import(\"../../layer/VectorTile.js\").default} tileLayer Tile layer.\n     */\n    function CanvasTileLayerRenderer(tileLayer) {\n        var _this = _super.call(this, tileLayer) || this;\n        /**\n         * Rendered extent has changed since the previous `renderFrame()` call\n         * @type {boolean}\n         */\n        _this.extentChanged = true;\n        /**\n         * @private\n         * @type {?import(\"../../extent.js\").Extent}\n         */\n        _this.renderedExtent_ = null;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.renderedPixelRatio;\n        /**\n         * @protected\n         * @type {import(\"../../proj/Projection.js\").default}\n         */\n        _this.renderedProjection = null;\n        /**\n         * @protected\n         * @type {number}\n         */\n        _this.renderedRevision;\n        /**\n         * @protected\n         * @type {!Array<import(\"../../Tile.js\").default>}\n         */\n        _this.renderedTiles = [];\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.newTiles_ = false;\n        /**\n         * @protected\n         * @type {import(\"../../extent.js\").Extent}\n         */\n        _this.tmpExtent = createEmpty();\n        /**\n         * @private\n         * @type {import(\"../../TileRange.js\").default}\n         */\n        _this.tmpTileRange_ = new TileRange(0, 0, 0, 0);\n        return _this;\n    }\n    /**\n     * @protected\n     * @param {import(\"../../Tile.js\").default} tile Tile.\n     * @return {boolean} Tile is drawable.\n     */\n    CanvasTileLayerRenderer.prototype.isDrawableTile = function (tile) {\n        var tileLayer = this.getLayer();\n        var tileState = tile.getState();\n        var useInterimTilesOnError = tileLayer.getUseInterimTilesOnError();\n        return (tileState == TileState.LOADED ||\n            tileState == TileState.EMPTY ||\n            (tileState == TileState.ERROR && !useInterimTilesOnError));\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {!import(\"../../Tile.js\").default} Tile.\n     */\n    CanvasTileLayerRenderer.prototype.getTile = function (z, x, y, frameState) {\n        var pixelRatio = frameState.pixelRatio;\n        var projection = frameState.viewState.projection;\n        var tileLayer = this.getLayer();\n        var tileSource = tileLayer.getSource();\n        var tile = tileSource.getTile(z, x, y, pixelRatio, projection);\n        if (tile.getState() == TileState.ERROR) {\n            if (!tileLayer.getUseInterimTilesOnError()) {\n                // When useInterimTilesOnError is false, we consider the error tile as loaded.\n                tile.setState(TileState.LOADED);\n            }\n            else if (tileLayer.getPreload() > 0) {\n                // Preloaded tiles for lower resolutions might have finished loading.\n                this.newTiles_ = true;\n            }\n        }\n        if (!this.isDrawableTile(tile)) {\n            tile = tile.getInterimTile();\n        }\n        return tile;\n    };\n    /**\n     * @param {Object<number, Object<string, import(\"../../Tile.js\").default>>} tiles Lookup of loaded tiles by zoom level.\n     * @param {number} zoom Zoom level.\n     * @param {import(\"../../Tile.js\").default} tile Tile.\n     * @return {boolean|void} If `false`, the tile will not be considered loaded.\n     */\n    CanvasTileLayerRenderer.prototype.loadedTileCallback = function (tiles, zoom, tile) {\n        if (this.isDrawableTile(tile)) {\n            return _super.prototype.loadedTileCallback.call(this, tiles, zoom, tile);\n        }\n        return false;\n    };\n    /**\n     * Determine whether render should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    CanvasTileLayerRenderer.prototype.prepareFrame = function (frameState) {\n        return !!this.getLayer().getSource();\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target that may be used to render content to.\n     * @return {HTMLElement} The rendered element.\n     */\n    CanvasTileLayerRenderer.prototype.renderFrame = function (frameState, target) {\n        var layerState = frameState.layerStatesArray[frameState.layerIndex];\n        var viewState = frameState.viewState;\n        var projection = viewState.projection;\n        var viewResolution = viewState.resolution;\n        var viewCenter = viewState.center;\n        var rotation = viewState.rotation;\n        var pixelRatio = frameState.pixelRatio;\n        var tileLayer = this.getLayer();\n        var tileSource = tileLayer.getSource();\n        var sourceRevision = tileSource.getRevision();\n        var tileGrid = tileSource.getTileGridForProjection(projection);\n        var z = tileGrid.getZForResolution(viewResolution, tileSource.zDirection);\n        var tileResolution = tileGrid.getResolution(z);\n        var extent = frameState.extent;\n        var layerExtent = layerState.extent && fromUserExtent(layerState.extent, projection);\n        if (layerExtent) {\n            extent = getIntersection(extent, fromUserExtent(layerState.extent, projection));\n        }\n        var tilePixelRatio = tileSource.getTilePixelRatio(pixelRatio);\n        // desired dimensions of the canvas in pixels\n        var width = Math.round(frameState.size[0] * tilePixelRatio);\n        var height = Math.round(frameState.size[1] * tilePixelRatio);\n        if (rotation) {\n            var size = Math.round(Math.sqrt(width * width + height * height));\n            width = size;\n            height = size;\n        }\n        var dx = (tileResolution * width) / 2 / tilePixelRatio;\n        var dy = (tileResolution * height) / 2 / tilePixelRatio;\n        var canvasExtent = [\n            viewCenter[0] - dx,\n            viewCenter[1] - dy,\n            viewCenter[0] + dx,\n            viewCenter[1] + dy,\n        ];\n        var tileRange = tileGrid.getTileRangeForExtentAndZ(extent, z);\n        /**\n         * @type {Object<number, Object<string, import(\"../../Tile.js\").default>>}\n         */\n        var tilesToDrawByZ = {};\n        tilesToDrawByZ[z] = {};\n        var findLoadedTiles = this.createLoadedTileFinder(tileSource, projection, tilesToDrawByZ);\n        var tmpExtent = this.tmpExtent;\n        var tmpTileRange = this.tmpTileRange_;\n        this.newTiles_ = false;\n        for (var x = tileRange.minX; x <= tileRange.maxX; ++x) {\n            for (var y = tileRange.minY; y <= tileRange.maxY; ++y) {\n                var tile = this.getTile(z, x, y, frameState);\n                if (this.isDrawableTile(tile)) {\n                    var uid = getUid(this);\n                    if (tile.getState() == TileState.LOADED) {\n                        tilesToDrawByZ[z][tile.tileCoord.toString()] = tile;\n                        var inTransition = tile.inTransition(uid);\n                        if (!this.newTiles_ &&\n                            (inTransition || this.renderedTiles.indexOf(tile) === -1)) {\n                            this.newTiles_ = true;\n                        }\n                    }\n                    if (tile.getAlpha(uid, frameState.time) === 1) {\n                        // don't look for alt tiles if alpha is 1\n                        continue;\n                    }\n                }\n                var childTileRange = tileGrid.getTileCoordChildTileRange(tile.tileCoord, tmpTileRange, tmpExtent);\n                var covered = false;\n                if (childTileRange) {\n                    covered = findLoadedTiles(z + 1, childTileRange);\n                }\n                if (!covered) {\n                    tileGrid.forEachTileCoordParentTileRange(tile.tileCoord, findLoadedTiles, tmpTileRange, tmpExtent);\n                }\n            }\n        }\n        var canvasScale = tileResolution / viewResolution;\n        // set forward and inverse pixel transforms\n        composeTransform(this.pixelTransform, frameState.size[0] / 2, frameState.size[1] / 2, 1 / tilePixelRatio, 1 / tilePixelRatio, rotation, -width / 2, -height / 2);\n        var canvasTransform = toTransformString(this.pixelTransform);\n        this.useContainer(target, canvasTransform, layerState.opacity, this.getBackground(frameState));\n        var context = this.context;\n        var canvas = context.canvas;\n        makeInverse(this.inversePixelTransform, this.pixelTransform);\n        // set scale transform for calculating tile positions on the canvas\n        composeTransform(this.tempTransform, width / 2, height / 2, canvasScale, canvasScale, 0, -width / 2, -height / 2);\n        if (canvas.width != width || canvas.height != height) {\n            canvas.width = width;\n            canvas.height = height;\n        }\n        else if (!this.containerReused) {\n            context.clearRect(0, 0, width, height);\n        }\n        if (layerExtent) {\n            this.clipUnrotated(context, frameState, layerExtent);\n        }\n        if (!tileSource.getInterpolate()) {\n            assign(context, IMAGE_SMOOTHING_DISABLED);\n        }\n        this.preRender(context, frameState);\n        this.renderedTiles.length = 0;\n        /** @type {Array<number>} */\n        var zs = Object.keys(tilesToDrawByZ).map(Number);\n        zs.sort(numberSafeCompareFunction);\n        var clips, clipZs, currentClip;\n        if (layerState.opacity === 1 &&\n            (!this.containerReused ||\n                tileSource.getOpaque(frameState.viewState.projection))) {\n            zs = zs.reverse();\n        }\n        else {\n            clips = [];\n            clipZs = [];\n        }\n        for (var i = zs.length - 1; i >= 0; --i) {\n            var currentZ = zs[i];\n            var currentTilePixelSize = tileSource.getTilePixelSize(currentZ, pixelRatio, projection);\n            var currentResolution = tileGrid.getResolution(currentZ);\n            var currentScale = currentResolution / tileResolution;\n            var dx_1 = currentTilePixelSize[0] * currentScale * canvasScale;\n            var dy_1 = currentTilePixelSize[1] * currentScale * canvasScale;\n            var originTileCoord = tileGrid.getTileCoordForCoordAndZ(getTopLeft(canvasExtent), currentZ);\n            var originTileExtent = tileGrid.getTileCoordExtent(originTileCoord);\n            var origin_1 = applyTransform(this.tempTransform, [\n                (tilePixelRatio * (originTileExtent[0] - canvasExtent[0])) /\n                    tileResolution,\n                (tilePixelRatio * (canvasExtent[3] - originTileExtent[3])) /\n                    tileResolution,\n            ]);\n            var tileGutter = tilePixelRatio * tileSource.getGutterForProjection(projection);\n            var tilesToDraw = tilesToDrawByZ[currentZ];\n            for (var tileCoordKey in tilesToDraw) {\n                var tile = /** @type {import(\"../../ImageTile.js\").default} */ (tilesToDraw[tileCoordKey]);\n                var tileCoord = tile.tileCoord;\n                // Calculate integer positions and sizes so that tiles align\n                var xIndex = originTileCoord[1] - tileCoord[1];\n                var nextX = Math.round(origin_1[0] - (xIndex - 1) * dx_1);\n                var yIndex = originTileCoord[2] - tileCoord[2];\n                var nextY = Math.round(origin_1[1] - (yIndex - 1) * dy_1);\n                var x = Math.round(origin_1[0] - xIndex * dx_1);\n                var y = Math.round(origin_1[1] - yIndex * dy_1);\n                var w = nextX - x;\n                var h = nextY - y;\n                var transition = z === currentZ;\n                var inTransition = transition && tile.getAlpha(getUid(this), frameState.time) !== 1;\n                if (!inTransition) {\n                    if (clips) {\n                        // Clip mask for regions in this tile that already filled by a higher z tile\n                        context.save();\n                        currentClip = [x, y, x + w, y, x + w, y + h, x, y + h];\n                        for (var i_1 = 0, ii = clips.length; i_1 < ii; ++i_1) {\n                            if (z !== currentZ && currentZ < clipZs[i_1]) {\n                                var clip = clips[i_1];\n                                context.beginPath();\n                                // counter-clockwise (outer ring) for current tile\n                                context.moveTo(currentClip[0], currentClip[1]);\n                                context.lineTo(currentClip[2], currentClip[3]);\n                                context.lineTo(currentClip[4], currentClip[5]);\n                                context.lineTo(currentClip[6], currentClip[7]);\n                                // clockwise (inner ring) for higher z tile\n                                context.moveTo(clip[6], clip[7]);\n                                context.lineTo(clip[4], clip[5]);\n                                context.lineTo(clip[2], clip[3]);\n                                context.lineTo(clip[0], clip[1]);\n                                context.clip();\n                            }\n                        }\n                        clips.push(currentClip);\n                        clipZs.push(currentZ);\n                    }\n                    else {\n                        context.clearRect(x, y, w, h);\n                    }\n                }\n                this.drawTileImage(tile, frameState, x, y, w, h, tileGutter, transition);\n                if (clips && !inTransition) {\n                    context.restore();\n                    this.renderedTiles.unshift(tile);\n                }\n                else {\n                    this.renderedTiles.push(tile);\n                }\n                this.updateUsedTiles(frameState.usedTiles, tileSource, tile);\n            }\n        }\n        this.renderedRevision = sourceRevision;\n        this.renderedResolution = tileResolution;\n        this.extentChanged =\n            !this.renderedExtent_ || !equals(this.renderedExtent_, canvasExtent);\n        this.renderedExtent_ = canvasExtent;\n        this.renderedPixelRatio = pixelRatio;\n        this.renderedProjection = projection;\n        this.manageTilePyramid(frameState, tileSource, tileGrid, pixelRatio, projection, extent, z, tileLayer.getPreload());\n        this.scheduleExpireCache(frameState, tileSource);\n        this.postRender(context, frameState);\n        if (layerState.extent) {\n            context.restore();\n        }\n        if (canvasTransform !== canvas.style.transform) {\n            canvas.style.transform = canvasTransform;\n        }\n        var opacity = cssOpacity(layerState.opacity);\n        var container = this.container;\n        if (opacity !== container.style.opacity) {\n            container.style.opacity = opacity;\n        }\n        return this.container;\n    };\n    /**\n     * @param {import(\"../../ImageTile.js\").default} tile Tile.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {number} x Left of the tile.\n     * @param {number} y Top of the tile.\n     * @param {number} w Width of the tile.\n     * @param {number} h Height of the tile.\n     * @param {number} gutter Tile gutter.\n     * @param {boolean} transition Apply an alpha transition.\n     */\n    CanvasTileLayerRenderer.prototype.drawTileImage = function (tile, frameState, x, y, w, h, gutter, transition) {\n        var image = this.getTileImage(tile);\n        if (!image) {\n            return;\n        }\n        var uid = getUid(this);\n        var alpha = transition ? tile.getAlpha(uid, frameState.time) : 1;\n        var alphaChanged = alpha !== this.context.globalAlpha;\n        if (alphaChanged) {\n            this.context.save();\n            this.context.globalAlpha = alpha;\n        }\n        this.context.drawImage(image, gutter, gutter, image.width - 2 * gutter, image.height - 2 * gutter, x, y, w, h);\n        if (alphaChanged) {\n            this.context.restore();\n        }\n        if (alpha !== 1) {\n            frameState.animate = true;\n        }\n        else if (transition) {\n            tile.endTransition(uid);\n        }\n    };\n    /**\n     * @return {HTMLCanvasElement} Image\n     */\n    CanvasTileLayerRenderer.prototype.getImage = function () {\n        var context = this.context;\n        return context ? context.canvas : null;\n    };\n    /**\n     * Get the image from a tile.\n     * @param {import(\"../../ImageTile.js\").default} tile Tile.\n     * @return {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} Image.\n     * @protected\n     */\n    CanvasTileLayerRenderer.prototype.getTileImage = function (tile) {\n        return tile.getImage();\n    };\n    /**\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"../../source/Tile.js\").default} tileSource Tile source.\n     * @protected\n     */\n    CanvasTileLayerRenderer.prototype.scheduleExpireCache = function (frameState, tileSource) {\n        if (tileSource.canExpireCache()) {\n            /**\n             * @param {import(\"../../source/Tile.js\").default} tileSource Tile source.\n             * @param {import(\"../../PluggableMap.js\").default} map Map.\n             * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n             */\n            var postRenderFunction = function (tileSource, map, frameState) {\n                var tileSourceKey = getUid(tileSource);\n                if (tileSourceKey in frameState.usedTiles) {\n                    tileSource.expireCache(frameState.viewState.projection, frameState.usedTiles[tileSourceKey]);\n                }\n            }.bind(null, tileSource);\n            frameState.postRenderFunctions.push(\n            /** @type {import(\"../../PluggableMap.js\").PostRenderFunction} */ (postRenderFunction));\n        }\n    };\n    /**\n     * @param {!Object<string, !Object<string, boolean>>} usedTiles Used tiles.\n     * @param {import(\"../../source/Tile.js\").default} tileSource Tile source.\n     * @param {import('../../Tile.js').default} tile Tile.\n     * @protected\n     */\n    CanvasTileLayerRenderer.prototype.updateUsedTiles = function (usedTiles, tileSource, tile) {\n        // FIXME should we use tilesToDrawByZ instead?\n        var tileSourceKey = getUid(tileSource);\n        if (!(tileSourceKey in usedTiles)) {\n            usedTiles[tileSourceKey] = {};\n        }\n        usedTiles[tileSourceKey][tile.getKey()] = true;\n    };\n    /**\n     * Manage tile pyramid.\n     * This function performs a number of functions related to the tiles at the\n     * current zoom and lower zoom levels:\n     * - registers idle tiles in frameState.wantedTiles so that they are not\n     *   discarded by the tile queue\n     * - enqueues missing tiles\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"../../source/Tile.js\").default} tileSource Tile source.\n     * @param {import(\"../../tilegrid/TileGrid.js\").default} tileGrid Tile grid.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../../proj/Projection.js\").default} projection Projection.\n     * @param {import(\"../../extent.js\").Extent} extent Extent.\n     * @param {number} currentZ Current Z.\n     * @param {number} preload Load low resolution tiles up to 'preload' levels.\n     * @param {function(import(\"../../Tile.js\").default):void} [opt_tileCallback] Tile callback.\n     * @protected\n     */\n    CanvasTileLayerRenderer.prototype.manageTilePyramid = function (frameState, tileSource, tileGrid, pixelRatio, projection, extent, currentZ, preload, opt_tileCallback) {\n        var tileSourceKey = getUid(tileSource);\n        if (!(tileSourceKey in frameState.wantedTiles)) {\n            frameState.wantedTiles[tileSourceKey] = {};\n        }\n        var wantedTiles = frameState.wantedTiles[tileSourceKey];\n        var tileQueue = frameState.tileQueue;\n        var minZoom = tileGrid.getMinZoom();\n        var tileCount = 0;\n        var tile, tileRange, tileResolution, x, y, z;\n        for (z = minZoom; z <= currentZ; ++z) {\n            tileRange = tileGrid.getTileRangeForExtentAndZ(extent, z, tileRange);\n            tileResolution = tileGrid.getResolution(z);\n            for (x = tileRange.minX; x <= tileRange.maxX; ++x) {\n                for (y = tileRange.minY; y <= tileRange.maxY; ++y) {\n                    if (currentZ - z <= preload) {\n                        ++tileCount;\n                        tile = tileSource.getTile(z, x, y, pixelRatio, projection);\n                        if (tile.getState() == TileState.IDLE) {\n                            wantedTiles[tile.getKey()] = true;\n                            if (!tileQueue.isKeyQueued(tile.getKey())) {\n                                tileQueue.enqueue([\n                                    tile,\n                                    tileSourceKey,\n                                    tileGrid.getTileCoordCenter(tile.tileCoord),\n                                    tileResolution,\n                                ]);\n                            }\n                        }\n                        if (opt_tileCallback !== undefined) {\n                            opt_tileCallback(tile);\n                        }\n                    }\n                    else {\n                        tileSource.useTile(z, x, y, projection);\n                    }\n                }\n            }\n        }\n        tileSource.updateCacheSize(tileCount, projection);\n    };\n    return CanvasTileLayerRenderer;\n}(CanvasLayerRenderer));\n/**\n * @function\n * @return {import(\"../../layer/Tile.js\").default|import(\"../../layer/VectorTile.js\").default}\n */\nCanvasTileLayerRenderer.prototype.getLayer;\nexport default CanvasTileLayerRenderer;\n//# sourceMappingURL=TileLayer.js.map","/**\n * @module ol/layer/VectorTileRenderType\n */\n/**\n * @enum {string}\n * Render mode for vector tiles:\n * @api\n */\nexport default {\n    /**\n     * Vector tiles are rendered as images. Great performance, but\n     * point symbols and texts are always rotated with the view and pixels are\n     * scaled during zoom animations\n     * @api\n     * @deprecated\n     */\n    IMAGE: 'image',\n    /**\n     * Polygon and line elements are rendered as images, so pixels\n     * are scaled during zoom animations. Point symbols and texts are accurately\n     * rendered as vectors and can stay upright on rotated views.\n     * @api\n     */\n    HYBRID: 'hybrid',\n    /**\n     * Everything is rendered as vectors. Use this mode for improved\n     * performance on vector tile layers with only a few rendered features (e.g.\n     * for highlighting a subset of features of another layer with the same\n     * source).\n     * @api\n     */\n    VECTOR: 'vector',\n};\n//# sourceMappingURL=VectorTileRenderType.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/canvas/VectorTileLayer\n */\nimport CanvasBuilderGroup from '../../render/canvas/BuilderGroup.js';\nimport CanvasExecutorGroup from '../../render/canvas/ExecutorGroup.js';\nimport CanvasTileLayerRenderer from './TileLayer.js';\nimport ReplayType from '../../render/canvas/BuilderType.js';\nimport TileState from '../../TileState.js';\nimport VectorTileRenderType from '../../layer/VectorTileRenderType.js';\nimport ViewHint from '../../ViewHint.js';\nimport { HIT_DETECT_RESOLUTION, createHitDetectionImageData, hitDetect, } from '../../render/canvas/hitdetect.js';\nimport { apply as applyTransform, create as createTransform, multiply, reset as resetTransform, scale, scale as scaleTransform, translate as translateTransform, } from '../../transform.js';\nimport { boundingExtent, buffer, containsExtent, equals, getIntersection, getTopLeft, intersects, } from '../../extent.js';\nimport { getSquaredTolerance as getSquaredRenderTolerance, renderFeature, } from '../vector.js';\nimport { getUid } from '../../util.js';\nimport { toSize } from '../../size.js';\nimport { wrapX } from '../../coordinate.js';\n/**\n * @type {!Object<string, Array<import(\"../../render/canvas/BuilderType.js\").default>>}\n */\nvar IMAGE_REPLAYS = {\n    'image': [\n        ReplayType.POLYGON,\n        ReplayType.CIRCLE,\n        ReplayType.LINE_STRING,\n        ReplayType.IMAGE,\n        ReplayType.TEXT,\n    ],\n    'hybrid': [ReplayType.POLYGON, ReplayType.LINE_STRING],\n    'vector': [],\n};\n/**\n * @type {!Object<string, Array<import(\"../../render/canvas/BuilderType.js\").default>>}\n */\nvar VECTOR_REPLAYS = {\n    'hybrid': [ReplayType.IMAGE, ReplayType.TEXT, ReplayType.DEFAULT],\n    'vector': [\n        ReplayType.POLYGON,\n        ReplayType.CIRCLE,\n        ReplayType.LINE_STRING,\n        ReplayType.IMAGE,\n        ReplayType.TEXT,\n        ReplayType.DEFAULT,\n    ],\n};\n/**\n * @classdesc\n * Canvas renderer for vector tile layers.\n * @api\n */\nvar CanvasVectorTileLayerRenderer = /** @class */ (function (_super) {\n    __extends(CanvasVectorTileLayerRenderer, _super);\n    /**\n     * @param {import(\"../../layer/VectorTile.js\").default} layer VectorTile layer.\n     */\n    function CanvasVectorTileLayerRenderer(layer) {\n        var _this = _super.call(this, layer) || this;\n        /** @private */\n        _this.boundHandleStyleImageChange_ = _this.handleStyleImageChange_.bind(_this);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.dirty_ = false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedLayerRevision_;\n        /**\n         * @private\n         * @type {import(\"../../transform\").Transform}\n         */\n        _this.renderedPixelToCoordinateTransform_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedRotation_;\n        /**\n         * @private\n         * @type {import(\"../../transform.js\").Transform}\n         */\n        _this.tmpTransform_ = createTransform();\n        return _this;\n    }\n    /**\n     * @param {import(\"../../VectorRenderTile.js\").default} tile Tile.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../../proj/Projection\").default} projection Projection.\n     * @return {boolean|undefined} Tile needs to be rendered.\n     */\n    CanvasVectorTileLayerRenderer.prototype.prepareTile = function (tile, pixelRatio, projection) {\n        var render;\n        var state = tile.getState();\n        if (state === TileState.LOADED || state === TileState.ERROR) {\n            this.updateExecutorGroup_(tile, pixelRatio, projection);\n            if (this.tileImageNeedsRender_(tile)) {\n                render = true;\n            }\n        }\n        return render;\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {!import(\"../../Tile.js\").default} Tile.\n     */\n    CanvasVectorTileLayerRenderer.prototype.getTile = function (z, x, y, frameState) {\n        var pixelRatio = frameState.pixelRatio;\n        var viewState = frameState.viewState;\n        var resolution = viewState.resolution;\n        var projection = viewState.projection;\n        var layer = this.getLayer();\n        var tile = layer.getSource().getTile(z, x, y, pixelRatio, projection);\n        var viewHints = frameState.viewHints;\n        var hifi = !(viewHints[ViewHint.ANIMATING] || viewHints[ViewHint.INTERACTING]);\n        if (hifi || !tile.wantedResolution) {\n            tile.wantedResolution = resolution;\n        }\n        var render = this.prepareTile(tile, pixelRatio, projection);\n        if (render &&\n            (hifi || Date.now() - frameState.time < 8) &&\n            layer.getRenderMode() !== VectorTileRenderType.VECTOR) {\n            this.renderTileImage_(tile, frameState);\n        }\n        return _super.prototype.getTile.call(this, z, x, y, frameState);\n    };\n    /**\n     * @param {import(\"../../VectorRenderTile.js\").default} tile Tile.\n     * @return {boolean} Tile is drawable.\n     */\n    CanvasVectorTileLayerRenderer.prototype.isDrawableTile = function (tile) {\n        var layer = this.getLayer();\n        return (_super.prototype.isDrawableTile.call(this, tile) &&\n            (layer.getRenderMode() === VectorTileRenderType.VECTOR\n                ? getUid(layer) in tile.executorGroups\n                : tile.hasContext(layer)));\n    };\n    /**\n     * @inheritDoc\n     */\n    CanvasVectorTileLayerRenderer.prototype.getTileImage = function (tile) {\n        return tile.getImage(this.getLayer());\n    };\n    /**\n     * Determine whether render should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    CanvasVectorTileLayerRenderer.prototype.prepareFrame = function (frameState) {\n        var layerRevision = this.getLayer().getRevision();\n        if (this.renderedLayerRevision_ != layerRevision) {\n            this.renderedTiles.length = 0;\n        }\n        this.renderedLayerRevision_ = layerRevision;\n        return _super.prototype.prepareFrame.call(this, frameState);\n    };\n    /**\n     * @param {import(\"../../VectorRenderTile.js\").default} tile Tile.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../../proj/Projection.js\").default} projection Projection.\n     * @private\n     */\n    CanvasVectorTileLayerRenderer.prototype.updateExecutorGroup_ = function (tile, pixelRatio, projection) {\n        var layer = /** @type {import(\"../../layer/VectorTile.js\").default} */ (this.getLayer());\n        var revision = layer.getRevision();\n        var renderOrder = layer.getRenderOrder() || null;\n        var resolution = tile.wantedResolution;\n        var builderState = tile.getReplayState(layer);\n        if (!builderState.dirty &&\n            builderState.renderedResolution === resolution &&\n            builderState.renderedRevision == revision &&\n            builderState.renderedRenderOrder == renderOrder) {\n            return;\n        }\n        var source = layer.getSource();\n        var declutter = layer.getDeclutter();\n        var sourceTileGrid = source.getTileGrid();\n        var tileGrid = source.getTileGridForProjection(projection);\n        var tileExtent = tileGrid.getTileCoordExtent(tile.wrappedTileCoord);\n        var sourceTiles = source.getSourceTiles(pixelRatio, projection, tile);\n        var layerUid = getUid(layer);\n        delete tile.hitDetectionImageData[layerUid];\n        tile.executorGroups[layerUid] = [];\n        if (declutter) {\n            tile.declutterExecutorGroups[layerUid] = [];\n        }\n        var _loop_1 = function (t, tt) {\n            var sourceTile = sourceTiles[t];\n            if (sourceTile.getState() != TileState.LOADED) {\n                return \"continue\";\n            }\n            var sourceTileCoord = sourceTile.tileCoord;\n            var sourceTileExtent = sourceTileGrid.getTileCoordExtent(sourceTileCoord);\n            var sharedExtent = getIntersection(tileExtent, sourceTileExtent);\n            var builderExtent = buffer(sharedExtent, layer.getRenderBuffer() * resolution, this_1.tmpExtent);\n            var bufferedExtent = equals(sourceTileExtent, sharedExtent)\n                ? null\n                : builderExtent;\n            builderState.dirty = false;\n            var builderGroup = new CanvasBuilderGroup(0, builderExtent, resolution, pixelRatio);\n            var declutterBuilderGroup = declutter\n                ? new CanvasBuilderGroup(0, sharedExtent, resolution, pixelRatio)\n                : undefined;\n            var squaredTolerance = getSquaredRenderTolerance(resolution, pixelRatio);\n            /**\n             * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n             * @this {CanvasVectorTileLayerRenderer}\n             */\n            var render = function (feature) {\n                var styles;\n                var styleFunction = feature.getStyleFunction() || layer.getStyleFunction();\n                if (styleFunction) {\n                    styles = styleFunction(feature, resolution);\n                }\n                if (styles) {\n                    var dirty = this.renderFeature(feature, squaredTolerance, styles, builderGroup, declutterBuilderGroup);\n                    this.dirty_ = this.dirty_ || dirty;\n                    builderState.dirty = builderState.dirty || dirty;\n                }\n            };\n            var features = sourceTile.getFeatures();\n            if (renderOrder && renderOrder !== builderState.renderedRenderOrder) {\n                features.sort(renderOrder);\n            }\n            for (var i = 0, ii = features.length; i < ii; ++i) {\n                var feature = features[i];\n                if (!bufferedExtent ||\n                    intersects(bufferedExtent, feature.getGeometry().getExtent())) {\n                    render.call(this_1, feature);\n                }\n            }\n            var executorGroupInstructions = builderGroup.finish();\n            // no need to clip when the render tile is covered by a single source tile\n            var replayExtent = layer.getRenderMode() !== VectorTileRenderType.VECTOR &&\n                declutter &&\n                sourceTiles.length === 1\n                ? null\n                : sharedExtent;\n            var renderingReplayGroup = new CanvasExecutorGroup(replayExtent, resolution, pixelRatio, source.getOverlaps(), executorGroupInstructions, layer.getRenderBuffer());\n            tile.executorGroups[layerUid].push(renderingReplayGroup);\n            if (declutterBuilderGroup) {\n                var declutterExecutorGroup = new CanvasExecutorGroup(null, resolution, pixelRatio, source.getOverlaps(), declutterBuilderGroup.finish(), layer.getRenderBuffer());\n                tile.declutterExecutorGroups[layerUid].push(declutterExecutorGroup);\n            }\n        };\n        var this_1 = this;\n        for (var t = 0, tt = sourceTiles.length; t < tt; ++t) {\n            _loop_1(t, tt);\n        }\n        builderState.renderedRevision = revision;\n        builderState.renderedRenderOrder = renderOrder;\n        builderState.renderedResolution = resolution;\n    };\n    /**\n     * @param {import(\"../../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {number} hitTolerance Hit tolerance in pixels.\n     * @param {import(\"../vector.js\").FeatureCallback<T>} callback Feature callback.\n     * @param {Array<import(\"../Map.js\").HitMatch<T>>} matches The hit detected matches with tolerance.\n     * @return {T|undefined} Callback result.\n     * @template T\n     */\n    CanvasVectorTileLayerRenderer.prototype.forEachFeatureAtCoordinate = function (coordinate, frameState, hitTolerance, callback, matches) {\n        var resolution = frameState.viewState.resolution;\n        var rotation = frameState.viewState.rotation;\n        hitTolerance = hitTolerance == undefined ? 0 : hitTolerance;\n        var layer = this.getLayer();\n        var source = layer.getSource();\n        var tileGrid = source.getTileGridForProjection(frameState.viewState.projection);\n        var hitExtent = boundingExtent([coordinate]);\n        buffer(hitExtent, resolution * hitTolerance, hitExtent);\n        /** @type {!Object<string, import(\"../Map.js\").HitMatch<T>|true>} */\n        var features = {};\n        /**\n         * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n         * @param {import(\"../../geom/SimpleGeometry.js\").default} geometry Geometry.\n         * @param {number} distanceSq The squared distance to the click position.\n         * @return {T|undefined} Callback result.\n         */\n        var featureCallback = function (feature, geometry, distanceSq) {\n            var key = feature.getId();\n            if (key === undefined) {\n                key = getUid(feature);\n            }\n            var match = features[key];\n            if (!match) {\n                if (distanceSq === 0) {\n                    features[key] = true;\n                    return callback(feature, layer, geometry);\n                }\n                matches.push((features[key] = {\n                    feature: feature,\n                    layer: layer,\n                    geometry: geometry,\n                    distanceSq: distanceSq,\n                    callback: callback,\n                }));\n            }\n            else if (match !== true && distanceSq < match.distanceSq) {\n                if (distanceSq === 0) {\n                    features[key] = true;\n                    matches.splice(matches.lastIndexOf(match), 1);\n                    return callback(feature, layer, geometry);\n                }\n                match.geometry = geometry;\n                match.distanceSq = distanceSq;\n            }\n            return undefined;\n        };\n        var renderedTiles = \n        /** @type {Array<import(\"../../VectorRenderTile.js\").default>} */ (this.renderedTiles);\n        var found;\n        var _loop_2 = function (i, ii) {\n            var tile = renderedTiles[i];\n            var tileExtent = tileGrid.getTileCoordExtent(tile.wrappedTileCoord);\n            if (!intersects(tileExtent, hitExtent)) {\n                return \"continue\";\n            }\n            var layerUid = getUid(layer);\n            var executorGroups = [tile.executorGroups[layerUid]];\n            var declutterExecutorGroups = tile.declutterExecutorGroups[layerUid];\n            if (declutterExecutorGroups) {\n                executorGroups.push(declutterExecutorGroups);\n            }\n            executorGroups.some(function (executorGroups) {\n                var declutteredFeatures = executorGroups === declutterExecutorGroups\n                    ? frameState.declutterTree.all().map(function (item) { return item.value; })\n                    : null;\n                for (var t = 0, tt = executorGroups.length; t < tt; ++t) {\n                    var executorGroup = executorGroups[t];\n                    found = executorGroup.forEachFeatureAtCoordinate(coordinate, resolution, rotation, hitTolerance, featureCallback, declutteredFeatures);\n                    if (found) {\n                        return true;\n                    }\n                }\n            });\n        };\n        for (var i = 0, ii = renderedTiles.length; !found && i < ii; ++i) {\n            _loop_2(i, ii);\n        }\n        return found;\n    };\n    /**\n     * Asynchronous layer level hit detection.\n     * @param {import(\"../../pixel.js\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../../Feature\").default>>} Promise that resolves with an array of features.\n     */\n    CanvasVectorTileLayerRenderer.prototype.getFeatures = function (pixel) {\n        return new Promise(function (resolve, reject) {\n            var layer = \n            /** @type {import(\"../../layer/VectorTile.js\").default} */ (this.getLayer());\n            var layerUid = getUid(layer);\n            var source = layer.getSource();\n            var projection = this.renderedProjection;\n            var projectionExtent = projection.getExtent();\n            var resolution = this.renderedResolution;\n            var tileGrid = source.getTileGridForProjection(projection);\n            var coordinate = applyTransform(this.renderedPixelToCoordinateTransform_, pixel.slice());\n            var tileCoord = tileGrid.getTileCoordForCoordAndResolution(coordinate, resolution);\n            var tile;\n            for (var i = 0, ii = this.renderedTiles.length; i < ii; ++i) {\n                if (tileCoord.toString() === this.renderedTiles[i].tileCoord.toString()) {\n                    tile = this.renderedTiles[i];\n                    if (tile.getState() === TileState.LOADED) {\n                        var extent_1 = tileGrid.getTileCoordExtent(tile.tileCoord);\n                        if (source.getWrapX() &&\n                            projection.canWrapX() &&\n                            !containsExtent(projectionExtent, extent_1)) {\n                            wrapX(coordinate, projection);\n                        }\n                        break;\n                    }\n                    tile = undefined;\n                }\n            }\n            if (!tile || tile.loadingSourceTiles > 0) {\n                resolve([]);\n                return;\n            }\n            var extent = tileGrid.getTileCoordExtent(tile.wrappedTileCoord);\n            var corner = getTopLeft(extent);\n            var tilePixel = [\n                (coordinate[0] - corner[0]) / resolution,\n                (corner[1] - coordinate[1]) / resolution,\n            ];\n            var features = tile\n                .getSourceTiles()\n                .reduce(function (accumulator, sourceTile) {\n                return accumulator.concat(sourceTile.getFeatures());\n            }, []);\n            var hitDetectionImageData = tile.hitDetectionImageData[layerUid];\n            if (!hitDetectionImageData && !this.animatingOrInteracting_) {\n                var tileSize = toSize(tileGrid.getTileSize(tileGrid.getZForResolution(resolution)));\n                var rotation = this.renderedRotation_;\n                var transforms = [\n                    this.getRenderTransform(tileGrid.getTileCoordCenter(tile.wrappedTileCoord), resolution, 0, HIT_DETECT_RESOLUTION, tileSize[0] * HIT_DETECT_RESOLUTION, tileSize[1] * HIT_DETECT_RESOLUTION, 0),\n                ];\n                hitDetectionImageData = createHitDetectionImageData(tileSize, transforms, features, layer.getStyleFunction(), tileGrid.getTileCoordExtent(tile.wrappedTileCoord), tile.getReplayState(layer).renderedResolution, rotation);\n                tile.hitDetectionImageData[layerUid] = hitDetectionImageData;\n            }\n            resolve(hitDetect(tilePixel, features, hitDetectionImageData));\n        }.bind(this));\n    };\n    /**\n     * Perform action necessary to get the layer rendered after new fonts have loaded\n     */\n    CanvasVectorTileLayerRenderer.prototype.handleFontsChanged = function () {\n        var layer = this.getLayer();\n        if (layer.getVisible() && this.renderedLayerRevision_ !== undefined) {\n            layer.changed();\n        }\n    };\n    /**\n     * Handle changes in image style state.\n     * @param {import(\"../../events/Event.js\").default} event Image style change event.\n     * @private\n     */\n    CanvasVectorTileLayerRenderer.prototype.handleStyleImageChange_ = function (event) {\n        this.renderIfReadyAndVisible();\n    };\n    /**\n     * Render declutter items for this layer\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     */\n    CanvasVectorTileLayerRenderer.prototype.renderDeclutter = function (frameState) {\n        var context = this.context;\n        var alpha = context.globalAlpha;\n        context.globalAlpha = this.getLayer().getOpacity();\n        var viewHints = frameState.viewHints;\n        var hifi = !(viewHints[ViewHint.ANIMATING] || viewHints[ViewHint.INTERACTING]);\n        var tiles = \n        /** @type {Array<import(\"../../VectorRenderTile.js\").default>} */ (this.renderedTiles);\n        for (var i = 0, ii = tiles.length; i < ii; ++i) {\n            var tile = tiles[i];\n            var declutterExecutorGroups = tile.declutterExecutorGroups[getUid(this.getLayer())];\n            if (declutterExecutorGroups) {\n                for (var j = declutterExecutorGroups.length - 1; j >= 0; --j) {\n                    declutterExecutorGroups[j].execute(this.context, 1, this.getTileRenderTransform(tile, frameState), frameState.viewState.rotation, hifi, undefined, frameState.declutterTree);\n                }\n            }\n        }\n        context.globalAlpha = alpha;\n    };\n    CanvasVectorTileLayerRenderer.prototype.getTileRenderTransform = function (tile, frameState) {\n        var pixelRatio = frameState.pixelRatio;\n        var viewState = frameState.viewState;\n        var center = viewState.center;\n        var resolution = viewState.resolution;\n        var rotation = viewState.rotation;\n        var size = frameState.size;\n        var width = Math.round(size[0] * pixelRatio);\n        var height = Math.round(size[1] * pixelRatio);\n        var source = this.getLayer().getSource();\n        var tileGrid = source.getTileGridForProjection(frameState.viewState.projection);\n        var tileCoord = tile.tileCoord;\n        var tileExtent = tileGrid.getTileCoordExtent(tile.wrappedTileCoord);\n        var worldOffset = tileGrid.getTileCoordExtent(tileCoord, this.tmpExtent)[0] - tileExtent[0];\n        var transform = multiply(scale(this.inversePixelTransform.slice(), 1 / pixelRatio, 1 / pixelRatio), this.getRenderTransform(center, resolution, rotation, pixelRatio, width, height, worldOffset));\n        return transform;\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {HTMLElement} target Target that may be used to render content to.\n     * @return {HTMLElement} The rendered element.\n     */\n    CanvasVectorTileLayerRenderer.prototype.renderFrame = function (frameState, target) {\n        var viewHints = frameState.viewHints;\n        var hifi = !(viewHints[ViewHint.ANIMATING] || viewHints[ViewHint.INTERACTING]);\n        _super.prototype.renderFrame.call(this, frameState, target);\n        this.renderedPixelToCoordinateTransform_ =\n            frameState.pixelToCoordinateTransform.slice();\n        this.renderedRotation_ = frameState.viewState.rotation;\n        var layer = /** @type {import(\"../../layer/VectorTile.js\").default} */ (this.getLayer());\n        var renderMode = layer.getRenderMode();\n        var context = this.context;\n        var alpha = context.globalAlpha;\n        context.globalAlpha = layer.getOpacity();\n        var replayTypes = VECTOR_REPLAYS[renderMode];\n        var viewState = frameState.viewState;\n        var rotation = viewState.rotation;\n        var tiles = this.renderedTiles;\n        var clips = [];\n        var clipZs = [];\n        for (var i = tiles.length - 1; i >= 0; --i) {\n            var tile = /** @type {import(\"../../VectorRenderTile.js\").default} */ (tiles[i]);\n            var transform = this.getTileRenderTransform(tile, frameState);\n            var executorGroups = tile.executorGroups[getUid(layer)];\n            var clipped = false;\n            for (var t = 0, tt = executorGroups.length; t < tt; ++t) {\n                var executorGroup = executorGroups[t];\n                if (!executorGroup.hasExecutors(replayTypes)) {\n                    // sourceTile has no instructions of the types we want to render\n                    continue;\n                }\n                var currentZ = tile.tileCoord[0];\n                var currentClip = void 0;\n                if (!clipped) {\n                    currentClip = executorGroup.getClipCoords(transform);\n                    if (currentClip) {\n                        context.save();\n                        // Create a clip mask for regions in this low resolution tile that are\n                        // already filled by a higher resolution tile\n                        for (var j = 0, jj = clips.length; j < jj; ++j) {\n                            var clip = clips[j];\n                            if (currentZ < clipZs[j]) {\n                                context.beginPath();\n                                // counter-clockwise (outer ring) for current tile\n                                context.moveTo(currentClip[0], currentClip[1]);\n                                context.lineTo(currentClip[2], currentClip[3]);\n                                context.lineTo(currentClip[4], currentClip[5]);\n                                context.lineTo(currentClip[6], currentClip[7]);\n                                // clockwise (inner ring) for higher resolution tile\n                                context.moveTo(clip[6], clip[7]);\n                                context.lineTo(clip[4], clip[5]);\n                                context.lineTo(clip[2], clip[3]);\n                                context.lineTo(clip[0], clip[1]);\n                                context.clip();\n                            }\n                        }\n                    }\n                }\n                executorGroup.execute(context, 1, transform, rotation, hifi, replayTypes);\n                if (!clipped && currentClip) {\n                    context.restore();\n                    clips.push(currentClip);\n                    clipZs.push(currentZ);\n                    clipped = true;\n                }\n            }\n        }\n        context.globalAlpha = alpha;\n        return this.container;\n    };\n    /**\n     * @param {import(\"../../Feature.js\").FeatureLike} feature Feature.\n     * @param {number} squaredTolerance Squared tolerance.\n     * @param {import(\"../../style/Style.js\").default|Array<import(\"../../style/Style.js\").default>} styles The style or array of styles.\n     * @param {import(\"../../render/canvas/BuilderGroup.js\").default} builderGroup Replay group.\n     * @param {import(\"../../render/canvas/BuilderGroup.js\").default} [opt_declutterBuilderGroup] Builder group for decluttering.\n     * @return {boolean} `true` if an image is loading.\n     */\n    CanvasVectorTileLayerRenderer.prototype.renderFeature = function (feature, squaredTolerance, styles, builderGroup, opt_declutterBuilderGroup) {\n        if (!styles) {\n            return false;\n        }\n        var loading = false;\n        if (Array.isArray(styles)) {\n            for (var i = 0, ii = styles.length; i < ii; ++i) {\n                loading =\n                    renderFeature(builderGroup, feature, styles[i], squaredTolerance, this.boundHandleStyleImageChange_, undefined, opt_declutterBuilderGroup) || loading;\n            }\n        }\n        else {\n            loading = renderFeature(builderGroup, feature, styles, squaredTolerance, this.boundHandleStyleImageChange_, undefined, opt_declutterBuilderGroup);\n        }\n        return loading;\n    };\n    /**\n     * @param {import(\"../../VectorRenderTile.js\").default} tile Tile.\n     * @return {boolean} A new tile image was rendered.\n     * @private\n     */\n    CanvasVectorTileLayerRenderer.prototype.tileImageNeedsRender_ = function (tile) {\n        var layer = /** @type {import(\"../../layer/VectorTile.js\").default} */ (this.getLayer());\n        if (layer.getRenderMode() === VectorTileRenderType.VECTOR) {\n            return false;\n        }\n        var replayState = tile.getReplayState(layer);\n        var revision = layer.getRevision();\n        var resolution = tile.wantedResolution;\n        return (replayState.renderedTileResolution !== resolution ||\n            replayState.renderedTileRevision !== revision);\n    };\n    /**\n     * @param {import(\"../../VectorRenderTile.js\").default} tile Tile.\n     * @param {import(\"../../PluggableMap\").FrameState} frameState Frame state.\n     * @private\n     */\n    CanvasVectorTileLayerRenderer.prototype.renderTileImage_ = function (tile, frameState) {\n        var layer = /** @type {import(\"../../layer/VectorTile.js\").default} */ (this.getLayer());\n        var replayState = tile.getReplayState(layer);\n        var revision = layer.getRevision();\n        var executorGroups = tile.executorGroups[getUid(layer)];\n        replayState.renderedTileRevision = revision;\n        var tileCoord = tile.wrappedTileCoord;\n        var z = tileCoord[0];\n        var source = layer.getSource();\n        var pixelRatio = frameState.pixelRatio;\n        var viewState = frameState.viewState;\n        var projection = viewState.projection;\n        var tileGrid = source.getTileGridForProjection(projection);\n        var tileResolution = tileGrid.getResolution(tile.tileCoord[0]);\n        var renderPixelRatio = (frameState.pixelRatio / tile.wantedResolution) * tileResolution;\n        var resolution = tileGrid.getResolution(z);\n        var context = tile.getContext(layer);\n        // Increase tile size when overzooming for low pixel ratio, to avoid blurry tiles\n        pixelRatio = Math.round(Math.max(pixelRatio, renderPixelRatio / pixelRatio));\n        var size = source.getTilePixelSize(z, pixelRatio, projection);\n        context.canvas.width = size[0];\n        context.canvas.height = size[1];\n        var renderScale = pixelRatio / renderPixelRatio;\n        if (renderScale !== 1) {\n            var canvasTransform = resetTransform(this.tmpTransform_);\n            scaleTransform(canvasTransform, renderScale, renderScale);\n            context.setTransform.apply(context, canvasTransform);\n        }\n        var tileExtent = tileGrid.getTileCoordExtent(tileCoord, this.tmpExtent);\n        var pixelScale = renderPixelRatio / resolution;\n        var transform = resetTransform(this.tmpTransform_);\n        scaleTransform(transform, pixelScale, -pixelScale);\n        translateTransform(transform, -tileExtent[0], -tileExtent[3]);\n        for (var i = 0, ii = executorGroups.length; i < ii; ++i) {\n            var executorGroup = executorGroups[i];\n            executorGroup.execute(context, renderScale, transform, 0, true, IMAGE_REPLAYS[layer.getRenderMode()]);\n        }\n        replayState.renderedTileResolution = tile.wantedResolution;\n    };\n    return CanvasVectorTileLayerRenderer;\n}(CanvasTileLayerRenderer));\nexport default CanvasVectorTileLayerRenderer;\n//# sourceMappingURL=VectorTileLayer.js.map","/**\n * @module ol/layer/TileProperty\n */\n/**\n * @enum {string}\n */\nexport default {\n    PRELOAD: 'preload',\n    USE_INTERIM_TILES_ON_ERROR: 'useInterimTilesOnError',\n};\n//# sourceMappingURL=TileProperty.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/VectorTile\n */\nimport BaseVectorLayer from './BaseVector.js';\nimport CanvasVectorTileLayerRenderer from '../renderer/canvas/VectorTileLayer.js';\nimport TileProperty from './TileProperty.js';\nimport VectorTileRenderType from './VectorTileRenderType.js';\nimport { assert } from '../asserts.js';\nimport { assign } from '../obj.js';\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./Base\").BaseLayerObjectEventTypes|\n *     'change:source'|'change:preload'|'change:useInterimTilesOnError', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../render/EventType\").LayerRenderEventTypes, import(\"../render/Event\").default, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"./Base\").BaseLayerObjectEventTypes|\n *     'change:source'|'change:preload'|'change:useInterimTilesOnError'|import(\"../render/EventType\").LayerRenderEventTypes, Return>} VectorTileLayerOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {import(\"../render.js\").OrderFunction} [renderOrder] Render order. Function to be used when sorting\n * features before rendering. By default features are drawn in the order that they are created. Use\n * `null` to avoid the sort, but get an undefined draw order.\n * @property {number} [renderBuffer=100] The buffer in pixels around the tile extent used by the\n * renderer when getting features from the vector tile for the rendering or hit-detection.\n * Recommended value: Vector tiles are usually generated with a buffer, so this value should match\n * the largest possible buffer of the used tiles. It should be at least the size of the largest\n * point symbol or line width.\n * @property {import(\"./VectorTileRenderType.js\").default|string} [renderMode='hybrid'] Render mode for vector tiles:\n *  * `'hybrid'`: Polygon and line elements are rendered as images, so pixels are scaled during zoom\n *    animations. Point symbols and texts are accurately rendered as vectors and can stay upright on\n *    rotated views.\n *  * `'vector'`: Everything is rendered as vectors. Use this mode for improved performance on vector\n *    tile layers with only a few rendered features (e.g. for highlighting a subset of features of\n *    another layer with the same source).\n * @property {import(\"../source/VectorTile.js\").default} [source] Source.\n * @property {import(\"../PluggableMap.js\").default} [map] Sets the layer as overlay on a map. The map will not manage\n * this layer in its layers collection, and the layer will be rendered on top. This is useful for\n * temporary layers. The standard way to add a layer to a map and have it managed by the map is to\n * use {@link import(\"../PluggableMap.js\").default#addLayer map.addLayer()}.\n * @property {boolean} [declutter=false] Declutter images and text. Decluttering is applied to all\n * image and text styles of all Vector and VectorTile layers that have set this to `true`. The priority\n * is defined by the z-index of the layer, the `zIndex` of the style and the render order of features.\n * Higher z-index means higher priority. Within the same z-index, a feature rendered before another has\n * higher priority.\n * @property {import(\"../style/Style.js\").StyleLike|null} [style] Layer style. When set to `null`, only\n * features that have their own style will be rendered. See {@link module:ol/style/Style~Style} for the default style\n * which will be used if this is not set.\n * @property {import(\"./Base.js\").BackgroundColor|false} [background] Background color for the layer. If not specified, no\n * background will be rendered.\n * @property {boolean} [updateWhileAnimating=false] When set to `true`, feature batches will be\n * recreated during animations. This means that no vectors will be shown clipped, but the setting\n * will have a performance impact for large amounts of vector data. When set to `false`, batches\n * will be recreated when no animation is active.\n * @property {boolean} [updateWhileInteracting=false] When set to `true`, feature batches will be\n * recreated during interactions. See also `updateWhileAnimating`.\n * @property {number} [preload=0] Preload. Load low-resolution tiles up to `preload` levels. `0`\n * means no preloading.\n * @property {boolean} [useInterimTilesOnError=true] Use interim tiles on error.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @classdesc\n * Layer for vector tile data that is rendered client-side.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @param {Options} [opt_options] Options.\n * @extends {BaseVectorLayer<import(\"../source/VectorTile.js\").default, CanvasVectorTileLayerRenderer>}\n * @api\n */\nvar VectorTileLayer = /** @class */ (function (_super) {\n    __extends(VectorTileLayer, _super);\n    /**\n     * @param {Options} [opt_options] Options.\n     */\n    function VectorTileLayer(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var baseOptions = /** @type {Object} */ (assign({}, options));\n        delete baseOptions.preload;\n        delete baseOptions.useInterimTilesOnError;\n        _this = _super.call(this, \n        /** @type {import(\"./BaseVector.js\").Options<import(\"../source/VectorTile.js\").default>} */ (baseOptions)) || this;\n        /***\n         * @type {VectorTileLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {VectorTileLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {VectorTileLayerOnSignature<void>}\n         */\n        _this.un;\n        if (options.renderMode === VectorTileRenderType.IMAGE) {\n            //FIXME deprecated - remove this check in v7.\n            //eslint-disable-next-line\n            console.warn('renderMode: \"image\" is deprecated. Option ignored.');\n            options.renderMode = undefined;\n        }\n        var renderMode = options.renderMode || VectorTileRenderType.HYBRID;\n        assert(renderMode == VectorTileRenderType.HYBRID ||\n            renderMode == VectorTileRenderType.VECTOR, 28); // `renderMode` must be `'hybrid'` or `'vector'`.\n        /**\n         * @private\n         * @type {import(\"./VectorTileRenderType.js\").default}\n         */\n        _this.renderMode_ = renderMode;\n        _this.setPreload(options.preload ? options.preload : 0);\n        _this.setUseInterimTilesOnError(options.useInterimTilesOnError !== undefined\n            ? options.useInterimTilesOnError\n            : true);\n        /**\n         * @return {import(\"./Base.js\").BackgroundColor} Background color.\n         * @function\n         * @api\n         */\n        _this.getBackground;\n        /**\n         * @param {import(\"./Base.js\").BackgroundColor} background Background color.\n         * @function\n         * @api\n         */\n        _this.setBackground;\n        return _this;\n    }\n    VectorTileLayer.prototype.createRenderer = function () {\n        return new CanvasVectorTileLayerRenderer(this);\n    };\n    /**\n     * Get the topmost feature that intersects the given pixel on the viewport. Returns a promise\n     * that resolves with an array of features. The array will either contain the topmost feature\n     * when a hit was detected, or it will be empty.\n     *\n     * The hit detection algorithm used for this method is optimized for performance, but is less\n     * accurate than the one used in {@link import(\"../PluggableMap.js\").default#getFeaturesAtPixel map.getFeaturesAtPixel()}: Text\n     * is not considered, and icons are only represented by their bounding box instead of the exact\n     * image.\n     *\n     * @param {import(\"../pixel.js\").Pixel} pixel Pixel.\n     * @return {Promise<Array<import(\"../Feature\").default>>} Promise that resolves with an array of features.\n     * @api\n     */\n    VectorTileLayer.prototype.getFeatures = function (pixel) {\n        return _super.prototype.getFeatures.call(this, pixel);\n    };\n    /**\n     * @return {import(\"./VectorTileRenderType.js\").default} The render mode.\n     */\n    VectorTileLayer.prototype.getRenderMode = function () {\n        return this.renderMode_;\n    };\n    /**\n     * Return the level as number to which we will preload tiles up to.\n     * @return {number} The level to preload tiles up to.\n     * @observable\n     * @api\n     */\n    VectorTileLayer.prototype.getPreload = function () {\n        return /** @type {number} */ (this.get(TileProperty.PRELOAD));\n    };\n    /**\n     * Whether we use interim tiles on error.\n     * @return {boolean} Use interim tiles on error.\n     * @observable\n     * @api\n     */\n    VectorTileLayer.prototype.getUseInterimTilesOnError = function () {\n        return /** @type {boolean} */ (this.get(TileProperty.USE_INTERIM_TILES_ON_ERROR));\n    };\n    /**\n     * Set the level as number to which we will preload tiles up to.\n     * @param {number} preload The level to preload tiles up to.\n     * @observable\n     * @api\n     */\n    VectorTileLayer.prototype.setPreload = function (preload) {\n        this.set(TileProperty.PRELOAD, preload);\n    };\n    /**\n     * Set whether we use interim tiles on error.\n     * @param {boolean} useInterimTilesOnError Use interim tiles on error.\n     * @observable\n     * @api\n     */\n    VectorTileLayer.prototype.setUseInterimTilesOnError = function (useInterimTilesOnError) {\n        this.set(TileProperty.USE_INTERIM_TILES_ON_ERROR, useInterimTilesOnError);\n    };\n    return VectorTileLayer;\n}(BaseVectorLayer));\nexport default VectorTileLayer;\n//# sourceMappingURL=VectorTile.js.map","/**\n * @module ol/source/TileEventType\n */\n/**\n * @enum {string}\n */\nexport default {\n    /**\n     * Triggered when a tile starts loading.\n     * @event module:ol/source/Tile.TileSourceEvent#tileloadstart\n     * @api\n     */\n    TILELOADSTART: 'tileloadstart',\n    /**\n     * Triggered when a tile finishes loading, either when its data is loaded,\n     * or when loading was aborted because the tile is no longer needed.\n     * @event module:ol/source/Tile.TileSourceEvent#tileloadend\n     * @api\n     */\n    TILELOADEND: 'tileloadend',\n    /**\n     * Triggered if tile loading results in an error.\n     * @event module:ol/source/Tile.TileSourceEvent#tileloaderror\n     * @api\n     */\n    TILELOADERROR: 'tileloaderror',\n};\n/**\n * @typedef {'tileloadstart'|'tileloadend'|'tileloaderror'} TileSourceEventTypes\n */\n//# sourceMappingURL=TileEventType.js.map","/**\n * @module ol/tilegrid/TileGrid\n */\nimport TileRange, { createOrUpdate as createOrUpdateTileRange, } from '../TileRange.js';\nimport { DEFAULT_TILE_SIZE } from './common.js';\nimport { assert } from '../asserts.js';\nimport { ceil, clamp, floor } from '../math.js';\nimport { createOrUpdate, getTopLeft } from '../extent.js';\nimport { createOrUpdate as createOrUpdateTileCoord } from '../tilecoord.js';\nimport { isSorted, linearFindNearest } from '../array.js';\nimport { toSize } from '../size.js';\n/**\n * @private\n * @type {import(\"../tilecoord.js\").TileCoord}\n */\nvar tmpTileCoord = [0, 0, 0];\n/**\n * Number of decimal digits to consider in integer values when rounding.\n * @type {number}\n */\nvar DECIMALS = 5;\n/**\n * @typedef {Object} Options\n * @property {import(\"../extent.js\").Extent} [extent] Extent for the tile grid. No tiles outside this\n * extent will be requested by {@link module:ol/source/Tile} sources. When no `origin` or\n * `origins` are configured, the `origin` will be set to the top-left corner of the extent.\n * @property {number} [minZoom=0] Minimum zoom.\n * @property {import(\"../coordinate.js\").Coordinate} [origin] The tile grid origin, i.e. where the `x`\n * and `y` axes meet (`[z, 0, 0]`). Tile coordinates increase left to right and downwards. If not\n * specified, `extent` or `origins` must be provided.\n * @property {Array<import(\"../coordinate.js\").Coordinate>} [origins] Tile grid origins, i.e. where\n * the `x` and `y` axes meet (`[z, 0, 0]`), for each zoom level. If given, the array length\n * should match the length of the `resolutions` array, i.e. each resolution can have a different\n * origin. Tile coordinates increase left to right and downwards. If not specified, `extent` or\n * `origin` must be provided.\n * @property {!Array<number>} resolutions Resolutions. The array index of each resolution needs\n * to match the zoom level. This means that even if a `minZoom` is configured, the resolutions\n * array will have a length of `maxZoom + 1`.\n * @property {Array<import(\"../size.js\").Size>} [sizes] Number of tile rows and columns\n * of the grid for each zoom level. If specified the values\n * define each zoom level's extent together with the `origin` or `origins`.\n * A grid `extent` can be configured in addition, and will further limit the extent\n * for which tile requests are made by sources. If the bottom-left corner of\n * an extent is used as `origin` or `origins`, then the `y` value must be\n * negative because OpenLayers tile coordinates use the top left as the origin.\n * @property {number|import(\"../size.js\").Size} [tileSize] Tile size.\n * Default is `[256, 256]`.\n * @property {Array<import(\"../size.js\").Size>} [tileSizes] Tile sizes. If given, the array length\n * should match the length of the `resolutions` array, i.e. each resolution can have a different\n * tile size.\n */\n/**\n * @classdesc\n * Base class for setting the grid pattern for sources accessing tiled-image\n * servers.\n * @api\n */\nvar TileGrid = /** @class */ (function () {\n    /**\n     * @param {Options} options Tile grid options.\n     */\n    function TileGrid(options) {\n        /**\n         * @protected\n         * @type {number}\n         */\n        this.minZoom = options.minZoom !== undefined ? options.minZoom : 0;\n        /**\n         * @private\n         * @type {!Array<number>}\n         */\n        this.resolutions_ = options.resolutions;\n        assert(isSorted(this.resolutions_, function (a, b) {\n            return b - a;\n        }, true), 17); // `resolutions` must be sorted in descending order\n        // check if we've got a consistent zoom factor and origin\n        var zoomFactor;\n        if (!options.origins) {\n            for (var i = 0, ii = this.resolutions_.length - 1; i < ii; ++i) {\n                if (!zoomFactor) {\n                    zoomFactor = this.resolutions_[i] / this.resolutions_[i + 1];\n                }\n                else {\n                    if (this.resolutions_[i] / this.resolutions_[i + 1] !== zoomFactor) {\n                        zoomFactor = undefined;\n                        break;\n                    }\n                }\n            }\n        }\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        this.zoomFactor_ = zoomFactor;\n        /**\n         * @protected\n         * @type {number}\n         */\n        this.maxZoom = this.resolutions_.length - 1;\n        /**\n         * @private\n         * @type {import(\"../coordinate.js\").Coordinate}\n         */\n        this.origin_ = options.origin !== undefined ? options.origin : null;\n        /**\n         * @private\n         * @type {Array<import(\"../coordinate.js\").Coordinate>}\n         */\n        this.origins_ = null;\n        if (options.origins !== undefined) {\n            this.origins_ = options.origins;\n            assert(this.origins_.length == this.resolutions_.length, 20); // Number of `origins` and `resolutions` must be equal\n        }\n        var extent = options.extent;\n        if (extent !== undefined && !this.origin_ && !this.origins_) {\n            this.origin_ = getTopLeft(extent);\n        }\n        assert((!this.origin_ && this.origins_) || (this.origin_ && !this.origins_), 18); // Either `origin` or `origins` must be configured, never both\n        /**\n         * @private\n         * @type {Array<number|import(\"../size.js\").Size>}\n         */\n        this.tileSizes_ = null;\n        if (options.tileSizes !== undefined) {\n            this.tileSizes_ = options.tileSizes;\n            assert(this.tileSizes_.length == this.resolutions_.length, 19); // Number of `tileSizes` and `resolutions` must be equal\n        }\n        /**\n         * @private\n         * @type {number|import(\"../size.js\").Size}\n         */\n        this.tileSize_ =\n            options.tileSize !== undefined\n                ? options.tileSize\n                : !this.tileSizes_\n                    ? DEFAULT_TILE_SIZE\n                    : null;\n        assert((!this.tileSize_ && this.tileSizes_) ||\n            (this.tileSize_ && !this.tileSizes_), 22); // Either `tileSize` or `tileSizes` must be configured, never both\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        this.extent_ = extent !== undefined ? extent : null;\n        /**\n         * @private\n         * @type {Array<import(\"../TileRange.js\").default>}\n         */\n        this.fullTileRanges_ = null;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        this.tmpSize_ = [0, 0];\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        this.tmpExtent_ = [0, 0, 0, 0];\n        if (options.sizes !== undefined) {\n            this.fullTileRanges_ = options.sizes.map(function (size, z) {\n                var tileRange = new TileRange(Math.min(0, size[0]), Math.max(size[0] - 1, -1), Math.min(0, size[1]), Math.max(size[1] - 1, -1));\n                if (extent) {\n                    var restrictedTileRange = this.getTileRangeForExtentAndZ(extent, z);\n                    tileRange.minX = Math.max(restrictedTileRange.minX, tileRange.minX);\n                    tileRange.maxX = Math.min(restrictedTileRange.maxX, tileRange.maxX);\n                    tileRange.minY = Math.max(restrictedTileRange.minY, tileRange.minY);\n                    tileRange.maxY = Math.min(restrictedTileRange.maxY, tileRange.maxY);\n                }\n                return tileRange;\n            }, this);\n        }\n        else if (extent) {\n            this.calculateTileRanges_(extent);\n        }\n    }\n    /**\n     * Call a function with each tile coordinate for a given extent and zoom level.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} zoom Integer zoom level.\n     * @param {function(import(\"../tilecoord.js\").TileCoord): void} callback Function called with each tile coordinate.\n     * @api\n     */\n    TileGrid.prototype.forEachTileCoord = function (extent, zoom, callback) {\n        var tileRange = this.getTileRangeForExtentAndZ(extent, zoom);\n        for (var i = tileRange.minX, ii = tileRange.maxX; i <= ii; ++i) {\n            for (var j = tileRange.minY, jj = tileRange.maxY; j <= jj; ++j) {\n                callback([zoom, i, j]);\n            }\n        }\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {function(number, import(\"../TileRange.js\").default): boolean} callback Callback.\n     * @param {import(\"../TileRange.js\").default} [opt_tileRange] Temporary import(\"../TileRange.js\").default object.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Temporary import(\"../extent.js\").Extent object.\n     * @return {boolean} Callback succeeded.\n     */\n    TileGrid.prototype.forEachTileCoordParentTileRange = function (tileCoord, callback, opt_tileRange, opt_extent) {\n        var tileRange, x, y;\n        var tileCoordExtent = null;\n        var z = tileCoord[0] - 1;\n        if (this.zoomFactor_ === 2) {\n            x = tileCoord[1];\n            y = tileCoord[2];\n        }\n        else {\n            tileCoordExtent = this.getTileCoordExtent(tileCoord, opt_extent);\n        }\n        while (z >= this.minZoom) {\n            if (this.zoomFactor_ === 2) {\n                x = Math.floor(x / 2);\n                y = Math.floor(y / 2);\n                tileRange = createOrUpdateTileRange(x, x, y, y, opt_tileRange);\n            }\n            else {\n                tileRange = this.getTileRangeForExtentAndZ(tileCoordExtent, z, opt_tileRange);\n            }\n            if (callback(z, tileRange)) {\n                return true;\n            }\n            --z;\n        }\n        return false;\n    };\n    /**\n     * Get the extent for this tile grid, if it was configured.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    TileGrid.prototype.getExtent = function () {\n        return this.extent_;\n    };\n    /**\n     * Get the maximum zoom level for the grid.\n     * @return {number} Max zoom.\n     * @api\n     */\n    TileGrid.prototype.getMaxZoom = function () {\n        return this.maxZoom;\n    };\n    /**\n     * Get the minimum zoom level for the grid.\n     * @return {number} Min zoom.\n     * @api\n     */\n    TileGrid.prototype.getMinZoom = function () {\n        return this.minZoom;\n    };\n    /**\n     * Get the origin for the grid at the given zoom level.\n     * @param {number} z Integer zoom level.\n     * @return {import(\"../coordinate.js\").Coordinate} Origin.\n     * @api\n     */\n    TileGrid.prototype.getOrigin = function (z) {\n        if (this.origin_) {\n            return this.origin_;\n        }\n        else {\n            return this.origins_[z];\n        }\n    };\n    /**\n     * Get the resolution for the given zoom level.\n     * @param {number} z Integer zoom level.\n     * @return {number} Resolution.\n     * @api\n     */\n    TileGrid.prototype.getResolution = function (z) {\n        return this.resolutions_[z];\n    };\n    /**\n     * Get the list of resolutions for the tile grid.\n     * @return {Array<number>} Resolutions.\n     * @api\n     */\n    TileGrid.prototype.getResolutions = function () {\n        return this.resolutions_;\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"../TileRange.js\").default} [opt_tileRange] Temporary import(\"../TileRange.js\").default object.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Temporary import(\"../extent.js\").Extent object.\n     * @return {import(\"../TileRange.js\").default} Tile range.\n     */\n    TileGrid.prototype.getTileCoordChildTileRange = function (tileCoord, opt_tileRange, opt_extent) {\n        if (tileCoord[0] < this.maxZoom) {\n            if (this.zoomFactor_ === 2) {\n                var minX = tileCoord[1] * 2;\n                var minY = tileCoord[2] * 2;\n                return createOrUpdateTileRange(minX, minX + 1, minY, minY + 1, opt_tileRange);\n            }\n            var tileCoordExtent = this.getTileCoordExtent(tileCoord, opt_extent || this.tmpExtent_);\n            return this.getTileRangeForExtentAndZ(tileCoordExtent, tileCoord[0] + 1, opt_tileRange);\n        }\n        return null;\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {number} z Integer zoom level.\n     * @param {import(\"../TileRange.js\").default} [opt_tileRange] Temporary import(\"../TileRange.js\").default object.\n     * @return {import(\"../TileRange.js\").default} Tile range.\n     */\n    TileGrid.prototype.getTileRangeForTileCoordAndZ = function (tileCoord, z, opt_tileRange) {\n        if (z > this.maxZoom || z < this.minZoom) {\n            return null;\n        }\n        var tileCoordZ = tileCoord[0];\n        var tileCoordX = tileCoord[1];\n        var tileCoordY = tileCoord[2];\n        if (z === tileCoordZ) {\n            return createOrUpdateTileRange(tileCoordX, tileCoordY, tileCoordX, tileCoordY, opt_tileRange);\n        }\n        if (this.zoomFactor_) {\n            var factor = Math.pow(this.zoomFactor_, z - tileCoordZ);\n            var minX = Math.floor(tileCoordX * factor);\n            var minY = Math.floor(tileCoordY * factor);\n            if (z < tileCoordZ) {\n                return createOrUpdateTileRange(minX, minX, minY, minY, opt_tileRange);\n            }\n            var maxX = Math.floor(factor * (tileCoordX + 1)) - 1;\n            var maxY = Math.floor(factor * (tileCoordY + 1)) - 1;\n            return createOrUpdateTileRange(minX, maxX, minY, maxY, opt_tileRange);\n        }\n        var tileCoordExtent = this.getTileCoordExtent(tileCoord, this.tmpExtent_);\n        return this.getTileRangeForExtentAndZ(tileCoordExtent, z, opt_tileRange);\n    };\n    /**\n     * Get the extent for a tile range.\n     * @param {number} z Integer zoom level.\n     * @param {import(\"../TileRange.js\").default} tileRange Tile range.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Temporary import(\"../extent.js\").Extent object.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     */\n    TileGrid.prototype.getTileRangeExtent = function (z, tileRange, opt_extent) {\n        var origin = this.getOrigin(z);\n        var resolution = this.getResolution(z);\n        var tileSize = toSize(this.getTileSize(z), this.tmpSize_);\n        var minX = origin[0] + tileRange.minX * tileSize[0] * resolution;\n        var maxX = origin[0] + (tileRange.maxX + 1) * tileSize[0] * resolution;\n        var minY = origin[1] + tileRange.minY * tileSize[1] * resolution;\n        var maxY = origin[1] + (tileRange.maxY + 1) * tileSize[1] * resolution;\n        return createOrUpdate(minX, minY, maxX, maxY, opt_extent);\n    };\n    /**\n     * Get a tile range for the given extent and integer zoom level.\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} z Integer zoom level.\n     * @param {import(\"../TileRange.js\").default} [opt_tileRange] Temporary tile range object.\n     * @return {import(\"../TileRange.js\").default} Tile range.\n     */\n    TileGrid.prototype.getTileRangeForExtentAndZ = function (extent, z, opt_tileRange) {\n        var tileCoord = tmpTileCoord;\n        this.getTileCoordForXYAndZ_(extent[0], extent[3], z, false, tileCoord);\n        var minX = tileCoord[1];\n        var minY = tileCoord[2];\n        this.getTileCoordForXYAndZ_(extent[2], extent[1], z, true, tileCoord);\n        return createOrUpdateTileRange(minX, tileCoord[1], minY, tileCoord[2], opt_tileRange);\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @return {import(\"../coordinate.js\").Coordinate} Tile center.\n     */\n    TileGrid.prototype.getTileCoordCenter = function (tileCoord) {\n        var origin = this.getOrigin(tileCoord[0]);\n        var resolution = this.getResolution(tileCoord[0]);\n        var tileSize = toSize(this.getTileSize(tileCoord[0]), this.tmpSize_);\n        return [\n            origin[0] + (tileCoord[1] + 0.5) * tileSize[0] * resolution,\n            origin[1] - (tileCoord[2] + 0.5) * tileSize[1] * resolution,\n        ];\n    };\n    /**\n     * Get the extent of a tile coordinate.\n     *\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"../extent.js\").Extent} [opt_extent] Temporary extent object.\n     * @return {import(\"../extent.js\").Extent} Extent.\n     * @api\n     */\n    TileGrid.prototype.getTileCoordExtent = function (tileCoord, opt_extent) {\n        var origin = this.getOrigin(tileCoord[0]);\n        var resolution = this.getResolution(tileCoord[0]);\n        var tileSize = toSize(this.getTileSize(tileCoord[0]), this.tmpSize_);\n        var minX = origin[0] + tileCoord[1] * tileSize[0] * resolution;\n        var minY = origin[1] - (tileCoord[2] + 1) * tileSize[1] * resolution;\n        var maxX = minX + tileSize[0] * resolution;\n        var maxY = minY + tileSize[1] * resolution;\n        return createOrUpdate(minX, minY, maxX, maxY, opt_extent);\n    };\n    /**\n     * Get the tile coordinate for the given map coordinate and resolution.  This\n     * method considers that coordinates that intersect tile boundaries should be\n     * assigned the higher tile coordinate.\n     *\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {number} resolution Resolution.\n     * @param {import(\"../tilecoord.js\").TileCoord} [opt_tileCoord] Destination import(\"../tilecoord.js\").TileCoord object.\n     * @return {import(\"../tilecoord.js\").TileCoord} Tile coordinate.\n     * @api\n     */\n    TileGrid.prototype.getTileCoordForCoordAndResolution = function (coordinate, resolution, opt_tileCoord) {\n        return this.getTileCoordForXYAndResolution_(coordinate[0], coordinate[1], resolution, false, opt_tileCoord);\n    };\n    /**\n     * Note that this method should not be called for resolutions that correspond\n     * to an integer zoom level.  Instead call the `getTileCoordForXYAndZ_` method.\n     * @param {number} x X.\n     * @param {number} y Y.\n     * @param {number} resolution Resolution (for a non-integer zoom level).\n     * @param {boolean} reverseIntersectionPolicy Instead of letting edge\n     *     intersections go to the higher tile coordinate, let edge intersections\n     *     go to the lower tile coordinate.\n     * @param {import(\"../tilecoord.js\").TileCoord} [opt_tileCoord] Temporary import(\"../tilecoord.js\").TileCoord object.\n     * @return {import(\"../tilecoord.js\").TileCoord} Tile coordinate.\n     * @private\n     */\n    TileGrid.prototype.getTileCoordForXYAndResolution_ = function (x, y, resolution, reverseIntersectionPolicy, opt_tileCoord) {\n        var z = this.getZForResolution(resolution);\n        var scale = resolution / this.getResolution(z);\n        var origin = this.getOrigin(z);\n        var tileSize = toSize(this.getTileSize(z), this.tmpSize_);\n        var tileCoordX = (scale * (x - origin[0])) / resolution / tileSize[0];\n        var tileCoordY = (scale * (origin[1] - y)) / resolution / tileSize[1];\n        if (reverseIntersectionPolicy) {\n            tileCoordX = ceil(tileCoordX, DECIMALS) - 1;\n            tileCoordY = ceil(tileCoordY, DECIMALS) - 1;\n        }\n        else {\n            tileCoordX = floor(tileCoordX, DECIMALS);\n            tileCoordY = floor(tileCoordY, DECIMALS);\n        }\n        return createOrUpdateTileCoord(z, tileCoordX, tileCoordY, opt_tileCoord);\n    };\n    /**\n     * Although there is repetition between this method and `getTileCoordForXYAndResolution_`,\n     * they should have separate implementations.  This method is for integer zoom\n     * levels.  The other method should only be called for resolutions corresponding\n     * to non-integer zoom levels.\n     * @param {number} x Map x coordinate.\n     * @param {number} y Map y coordinate.\n     * @param {number} z Integer zoom level.\n     * @param {boolean} reverseIntersectionPolicy Instead of letting edge\n     *     intersections go to the higher tile coordinate, let edge intersections\n     *     go to the lower tile coordinate.\n     * @param {import(\"../tilecoord.js\").TileCoord} [opt_tileCoord] Temporary import(\"../tilecoord.js\").TileCoord object.\n     * @return {import(\"../tilecoord.js\").TileCoord} Tile coordinate.\n     * @private\n     */\n    TileGrid.prototype.getTileCoordForXYAndZ_ = function (x, y, z, reverseIntersectionPolicy, opt_tileCoord) {\n        var origin = this.getOrigin(z);\n        var resolution = this.getResolution(z);\n        var tileSize = toSize(this.getTileSize(z), this.tmpSize_);\n        var tileCoordX = (x - origin[0]) / resolution / tileSize[0];\n        var tileCoordY = (origin[1] - y) / resolution / tileSize[1];\n        if (reverseIntersectionPolicy) {\n            tileCoordX = ceil(tileCoordX, DECIMALS) - 1;\n            tileCoordY = ceil(tileCoordY, DECIMALS) - 1;\n        }\n        else {\n            tileCoordX = floor(tileCoordX, DECIMALS);\n            tileCoordY = floor(tileCoordY, DECIMALS);\n        }\n        return createOrUpdateTileCoord(z, tileCoordX, tileCoordY, opt_tileCoord);\n    };\n    /**\n     * Get a tile coordinate given a map coordinate and zoom level.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {number} z Zoom level.\n     * @param {import(\"../tilecoord.js\").TileCoord} [opt_tileCoord] Destination import(\"../tilecoord.js\").TileCoord object.\n     * @return {import(\"../tilecoord.js\").TileCoord} Tile coordinate.\n     * @api\n     */\n    TileGrid.prototype.getTileCoordForCoordAndZ = function (coordinate, z, opt_tileCoord) {\n        return this.getTileCoordForXYAndZ_(coordinate[0], coordinate[1], z, false, opt_tileCoord);\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @return {number} Tile resolution.\n     */\n    TileGrid.prototype.getTileCoordResolution = function (tileCoord) {\n        return this.resolutions_[tileCoord[0]];\n    };\n    /**\n     * Get the tile size for a zoom level. The type of the return value matches the\n     * `tileSize` or `tileSizes` that the tile grid was configured with. To always\n     * get an `import(\"../size.js\").Size`, run the result through `import(\"../size.js\").Size.toSize()`.\n     * @param {number} z Z.\n     * @return {number|import(\"../size.js\").Size} Tile size.\n     * @api\n     */\n    TileGrid.prototype.getTileSize = function (z) {\n        if (this.tileSize_) {\n            return this.tileSize_;\n        }\n        else {\n            return this.tileSizes_[z];\n        }\n    };\n    /**\n     * @param {number} z Zoom level.\n     * @return {import(\"../TileRange.js\").default} Extent tile range for the specified zoom level.\n     */\n    TileGrid.prototype.getFullTileRange = function (z) {\n        if (!this.fullTileRanges_) {\n            return this.extent_\n                ? this.getTileRangeForExtentAndZ(this.extent_, z)\n                : null;\n        }\n        else {\n            return this.fullTileRanges_[z];\n        }\n    };\n    /**\n     * @param {number} resolution Resolution.\n     * @param {number|import(\"../array.js\").NearestDirectionFunction} [opt_direction]\n     *     If 0, the nearest resolution will be used.\n     *     If 1, the nearest higher resolution (lower Z) will be used. If -1, the\n     *     nearest lower resolution (higher Z) will be used. Default is 0.\n     *     Use a {@link module:ol/array~NearestDirectionFunction} for more precise control.\n     *\n     * For example to change tile Z at the midpoint of zoom levels\n     * ```js\n     * function(value, high, low) {\n     *   return value - low * Math.sqrt(high / low);\n     * }\n     * ```\n     * @return {number} Z.\n     * @api\n     */\n    TileGrid.prototype.getZForResolution = function (resolution, opt_direction) {\n        var z = linearFindNearest(this.resolutions_, resolution, opt_direction || 0);\n        return clamp(z, this.minZoom, this.maxZoom);\n    };\n    /**\n     * @param {!import(\"../extent.js\").Extent} extent Extent for this tile grid.\n     * @private\n     */\n    TileGrid.prototype.calculateTileRanges_ = function (extent) {\n        var length = this.resolutions_.length;\n        var fullTileRanges = new Array(length);\n        for (var z = this.minZoom; z < length; ++z) {\n            fullTileRanges[z] = this.getTileRangeForExtentAndZ(extent, z);\n        }\n        this.fullTileRanges_ = fullTileRanges;\n    };\n    return TileGrid;\n}());\nexport default TileGrid;\n//# sourceMappingURL=TileGrid.js.map","/**\n * @module ol/tilegrid\n */\nimport Corner from './extent/Corner.js';\nimport TileGrid from './tilegrid/TileGrid.js';\nimport Units from './proj/Units.js';\nimport { DEFAULT_MAX_ZOOM, DEFAULT_TILE_SIZE } from './tilegrid/common.js';\nimport { METERS_PER_UNIT, get as getProjection } from './proj.js';\nimport { containsCoordinate, createOrUpdate, getCorner, getHeight, getWidth, } from './extent.js';\nimport { toSize } from './size.js';\n/**\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @return {!TileGrid} Default tile grid for the\n * passed projection.\n */\nexport function getForProjection(projection) {\n    var tileGrid = projection.getDefaultTileGrid();\n    if (!tileGrid) {\n        tileGrid = createForProjection(projection);\n        projection.setDefaultTileGrid(tileGrid);\n    }\n    return tileGrid;\n}\n/**\n * @param {TileGrid} tileGrid Tile grid.\n * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @return {import(\"./tilecoord.js\").TileCoord} Tile coordinate.\n */\nexport function wrapX(tileGrid, tileCoord, projection) {\n    var z = tileCoord[0];\n    var center = tileGrid.getTileCoordCenter(tileCoord);\n    var projectionExtent = extentFromProjection(projection);\n    if (!containsCoordinate(projectionExtent, center)) {\n        var worldWidth = getWidth(projectionExtent);\n        var worldsAway = Math.ceil((projectionExtent[0] - center[0]) / worldWidth);\n        center[0] += worldWidth * worldsAway;\n        return tileGrid.getTileCoordForCoordAndZ(center, z);\n    }\n    else {\n        return tileCoord;\n    }\n}\n/**\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {number} [opt_maxZoom] Maximum zoom level (default is\n *     DEFAULT_MAX_ZOOM).\n * @param {number|import(\"./size.js\").Size} [opt_tileSize] Tile size (default uses\n *     DEFAULT_TILE_SIZE).\n * @param {import(\"./extent/Corner.js\").default} [opt_corner] Extent corner (default is `'top-left'`).\n * @return {!TileGrid} TileGrid instance.\n */\nexport function createForExtent(extent, opt_maxZoom, opt_tileSize, opt_corner) {\n    var corner = opt_corner !== undefined ? opt_corner : Corner.TOP_LEFT;\n    var resolutions = resolutionsFromExtent(extent, opt_maxZoom, opt_tileSize);\n    return new TileGrid({\n        extent: extent,\n        origin: getCorner(extent, corner),\n        resolutions: resolutions,\n        tileSize: opt_tileSize,\n    });\n}\n/**\n * @typedef {Object} XYZOptions\n * @property {import(\"./extent.js\").Extent} [extent] Extent for the tile grid. The origin for an XYZ tile grid is the\n * top-left corner of the extent. If `maxResolution` is not provided the zero level of the grid is defined by the resolution\n * at which one tile fits in the provided extent. If not provided, the extent of the EPSG:3857 projection is used.\n * @property {number} [maxResolution] Resolution at level zero.\n * @property {number} [maxZoom] Maximum zoom. The default is `42`. This determines the number of levels\n * in the grid set. For example, a `maxZoom` of 21 means there are 22 levels in the grid set.\n * @property {number} [minZoom=0] Minimum zoom.\n * @property {number|import(\"./size.js\").Size} [tileSize=[256, 256]] Tile size in pixels.\n */\n/**\n * Creates a tile grid with a standard XYZ tiling scheme.\n * @param {XYZOptions} [opt_options] Tile grid options.\n * @return {!TileGrid} Tile grid instance.\n * @api\n */\nexport function createXYZ(opt_options) {\n    var xyzOptions = opt_options || {};\n    var extent = xyzOptions.extent || getProjection('EPSG:3857').getExtent();\n    var gridOptions = {\n        extent: extent,\n        minZoom: xyzOptions.minZoom,\n        tileSize: xyzOptions.tileSize,\n        resolutions: resolutionsFromExtent(extent, xyzOptions.maxZoom, xyzOptions.tileSize, xyzOptions.maxResolution),\n    };\n    return new TileGrid(gridOptions);\n}\n/**\n * Create a resolutions array from an extent.  A zoom factor of 2 is assumed.\n * @param {import(\"./extent.js\").Extent} extent Extent.\n * @param {number} [opt_maxZoom] Maximum zoom level (default is\n *     DEFAULT_MAX_ZOOM).\n * @param {number|import(\"./size.js\").Size} [opt_tileSize] Tile size (default uses\n *     DEFAULT_TILE_SIZE).\n * @param {number} [opt_maxResolution] Resolution at level zero.\n * @return {!Array<number>} Resolutions array.\n */\nfunction resolutionsFromExtent(extent, opt_maxZoom, opt_tileSize, opt_maxResolution) {\n    var maxZoom = opt_maxZoom !== undefined ? opt_maxZoom : DEFAULT_MAX_ZOOM;\n    var height = getHeight(extent);\n    var width = getWidth(extent);\n    var tileSize = toSize(opt_tileSize !== undefined ? opt_tileSize : DEFAULT_TILE_SIZE);\n    var maxResolution = opt_maxResolution > 0\n        ? opt_maxResolution\n        : Math.max(width / tileSize[0], height / tileSize[1]);\n    var length = maxZoom + 1;\n    var resolutions = new Array(length);\n    for (var z = 0; z < length; ++z) {\n        resolutions[z] = maxResolution / Math.pow(2, z);\n    }\n    return resolutions;\n}\n/**\n * @param {import(\"./proj.js\").ProjectionLike} projection Projection.\n * @param {number} [opt_maxZoom] Maximum zoom level (default is\n *     DEFAULT_MAX_ZOOM).\n * @param {number|import(\"./size.js\").Size} [opt_tileSize] Tile size (default uses\n *     DEFAULT_TILE_SIZE).\n * @param {import(\"./extent/Corner.js\").default} [opt_corner] Extent corner (default is `'top-left'`).\n * @return {!TileGrid} TileGrid instance.\n */\nexport function createForProjection(projection, opt_maxZoom, opt_tileSize, opt_corner) {\n    var extent = extentFromProjection(projection);\n    return createForExtent(extent, opt_maxZoom, opt_tileSize, opt_corner);\n}\n/**\n * Generate a tile grid extent from a projection.  If the projection has an\n * extent, it is used.  If not, a global extent is assumed.\n * @param {import(\"./proj.js\").ProjectionLike} projection Projection.\n * @return {import(\"./extent.js\").Extent} Extent.\n */\nexport function extentFromProjection(projection) {\n    projection = getProjection(projection);\n    var extent = projection.getExtent();\n    if (!extent) {\n        var half = (180 * METERS_PER_UNIT[Units.DEGREES]) / projection.getMetersPerUnit();\n        extent = createOrUpdate(-half, -half, half, half);\n    }\n    return extent;\n}\n//# sourceMappingURL=tilegrid.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/source/Tile\n */\nimport Event from '../events/Event.js';\nimport Source from './Source.js';\nimport TileCache from '../TileCache.js';\nimport TileState from '../TileState.js';\nimport { abstract } from '../util.js';\nimport { assert } from '../asserts.js';\nimport { equivalent } from '../proj.js';\nimport { getKeyZXY, withinExtentAndZ } from '../tilecoord.js';\nimport { getForProjection as getTileGridForProjection, wrapX, } from '../tilegrid.js';\nimport { scale as scaleSize, toSize } from '../size.js';\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types, import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./TileEventType\").TileSourceEventTypes, TileSourceEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types|\n *     import(\"./TileEventType\").TileSourceEventTypes, Return>} TileSourceOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] CacheSize.\n * @property {boolean} [opaque=false] Whether the layer is opaque.\n * @property {number} [tilePixelRatio] TilePixelRatio.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection.\n * @property {import(\"./State.js\").default} [state] State.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] TileGrid.\n * @property {boolean} [wrapX=false] WrapX.\n * @property {number} [transition] Transition.\n * @property {string} [key] Key.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0] ZDirection.\n * @property {boolean} [interpolate=false] Use interpolated values when resampling.  By default,\n * the nearest neighbor is used when resampling.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for sources providing images divided into a tile grid.\n * @abstract\n * @api\n */\nvar TileSource = /** @class */ (function (_super) {\n    __extends(TileSource, _super);\n    /**\n     * @param {Options} options SourceTile source options.\n     */\n    function TileSource(options) {\n        var _this = _super.call(this, {\n            attributions: options.attributions,\n            attributionsCollapsible: options.attributionsCollapsible,\n            projection: options.projection,\n            state: options.state,\n            wrapX: options.wrapX,\n            interpolate: options.interpolate,\n        }) || this;\n        /***\n         * @type {TileSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {TileSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {TileSourceOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.opaque_ = options.opaque !== undefined ? options.opaque : false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.tilePixelRatio_ =\n            options.tilePixelRatio !== undefined ? options.tilePixelRatio : 1;\n        /**\n         * @type {import(\"../tilegrid/TileGrid.js\").default}\n         */\n        _this.tileGrid = options.tileGrid !== undefined ? options.tileGrid : null;\n        var tileSize = [256, 256];\n        var tileGrid = options.tileGrid;\n        if (tileGrid) {\n            toSize(tileGrid.getTileSize(tileGrid.getMinZoom()), tileSize);\n        }\n        /**\n         * @protected\n         * @type {import(\"../TileCache.js\").default}\n         */\n        _this.tileCache = new TileCache(options.cacheSize || 0);\n        /**\n         * @protected\n         * @type {import(\"../size.js\").Size}\n         */\n        _this.tmpSize = [0, 0];\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.key_ = options.key || '';\n        /**\n         * @protected\n         * @type {import(\"../Tile.js\").Options}\n         */\n        _this.tileOptions = {\n            transition: options.transition,\n            interpolate: options.interpolate,\n        };\n        /**\n         * zDirection hint, read by the renderer. Indicates which resolution should be used\n         * by a renderer if the views resolution does not match any resolution of the tile source.\n         * If 0, the nearest resolution will be used. If 1, the nearest lower resolution\n         * will be used. If -1, the nearest higher resolution will be used.\n         * @type {number|import(\"../array.js\").NearestDirectionFunction}\n         */\n        _this.zDirection = options.zDirection ? options.zDirection : 0;\n        return _this;\n    }\n    /**\n     * @return {boolean} Can expire cache.\n     */\n    TileSource.prototype.canExpireCache = function () {\n        return this.tileCache.canExpireCache();\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {!Object<string, boolean>} usedTiles Used tiles.\n     */\n    TileSource.prototype.expireCache = function (projection, usedTiles) {\n        var tileCache = this.getTileCacheForProjection(projection);\n        if (tileCache) {\n            tileCache.expireCache(usedTiles);\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {number} z Zoom level.\n     * @param {import(\"../TileRange.js\").default} tileRange Tile range.\n     * @param {function(import(\"../Tile.js\").default):(boolean|void)} callback Called with each\n     *     loaded tile.  If the callback returns `false`, the tile will not be\n     *     considered loaded.\n     * @return {boolean} The tile range is fully covered with loaded tiles.\n     */\n    TileSource.prototype.forEachLoadedTile = function (projection, z, tileRange, callback) {\n        var tileCache = this.getTileCacheForProjection(projection);\n        if (!tileCache) {\n            return false;\n        }\n        var covered = true;\n        var tile, tileCoordKey, loaded;\n        for (var x = tileRange.minX; x <= tileRange.maxX; ++x) {\n            for (var y = tileRange.minY; y <= tileRange.maxY; ++y) {\n                tileCoordKey = getKeyZXY(z, x, y);\n                loaded = false;\n                if (tileCache.containsKey(tileCoordKey)) {\n                    tile = /** @type {!import(\"../Tile.js\").default} */ (tileCache.get(tileCoordKey));\n                    loaded = tile.getState() === TileState.LOADED;\n                    if (loaded) {\n                        loaded = callback(tile) !== false;\n                    }\n                }\n                if (!loaded) {\n                    covered = false;\n                }\n            }\n        }\n        return covered;\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {number} Gutter.\n     */\n    TileSource.prototype.getGutterForProjection = function (projection) {\n        return 0;\n    };\n    /**\n     * Return the key to be used for all tiles in the source.\n     * @return {string} The key for all tiles.\n     */\n    TileSource.prototype.getKey = function () {\n        return this.key_;\n    };\n    /**\n     * Set the value to be used as the key for all tiles in the source.\n     * @param {string} key The key for tiles.\n     * @protected\n     */\n    TileSource.prototype.setKey = function (key) {\n        if (this.key_ !== key) {\n            this.key_ = key;\n            this.changed();\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {boolean} Opaque.\n     */\n    TileSource.prototype.getOpaque = function (projection) {\n        return this.opaque_;\n    };\n    /**\n     * @return {Array<number>} Resolutions.\n     */\n    TileSource.prototype.getResolutions = function () {\n        return this.tileGrid.getResolutions();\n    };\n    /**\n     * @abstract\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!import(\"../Tile.js\").default} Tile.\n     */\n    TileSource.prototype.getTile = function (z, x, y, pixelRatio, projection) {\n        return abstract();\n    };\n    /**\n     * Return the tile grid of the tile source.\n     * @return {import(\"../tilegrid/TileGrid.js\").default} Tile grid.\n     * @api\n     */\n    TileSource.prototype.getTileGrid = function () {\n        return this.tileGrid;\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!import(\"../tilegrid/TileGrid.js\").default} Tile grid.\n     */\n    TileSource.prototype.getTileGridForProjection = function (projection) {\n        if (!this.tileGrid) {\n            return getTileGridForProjection(projection);\n        }\n        else {\n            return this.tileGrid;\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../TileCache.js\").default} Tile cache.\n     * @protected\n     */\n    TileSource.prototype.getTileCacheForProjection = function (projection) {\n        assert(equivalent(this.getProjection(), projection), 68 // A VectorTile source can only be rendered if it has a projection compatible with the view projection.\n        );\n        return this.tileCache;\n    };\n    /**\n     * Get the tile pixel ratio for this source. Subclasses may override this\n     * method, which is meant to return a supported pixel ratio that matches the\n     * provided `pixelRatio` as close as possible.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Tile pixel ratio.\n     */\n    TileSource.prototype.getTilePixelRatio = function (pixelRatio) {\n        return this.tilePixelRatio_;\n    };\n    /**\n     * @param {number} z Z.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../size.js\").Size} Tile size.\n     */\n    TileSource.prototype.getTilePixelSize = function (z, pixelRatio, projection) {\n        var tileGrid = this.getTileGridForProjection(projection);\n        var tilePixelRatio = this.getTilePixelRatio(pixelRatio);\n        var tileSize = toSize(tileGrid.getTileSize(z), this.tmpSize);\n        if (tilePixelRatio == 1) {\n            return tileSize;\n        }\n        else {\n            return scaleSize(tileSize, tilePixelRatio, this.tmpSize);\n        }\n    };\n    /**\n     * Returns a tile coordinate wrapped around the x-axis. When the tile coordinate\n     * is outside the resolution and extent range of the tile grid, `null` will be\n     * returned.\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"../proj/Projection.js\").default} [opt_projection] Projection.\n     * @return {import(\"../tilecoord.js\").TileCoord} Tile coordinate to be passed to the tileUrlFunction or\n     *     null if no tile URL should be created for the passed `tileCoord`.\n     */\n    TileSource.prototype.getTileCoordForTileUrlFunction = function (tileCoord, opt_projection) {\n        var projection = opt_projection !== undefined ? opt_projection : this.getProjection();\n        var tileGrid = this.getTileGridForProjection(projection);\n        if (this.getWrapX() && projection.isGlobal()) {\n            tileCoord = wrapX(tileGrid, tileCoord, projection);\n        }\n        return withinExtentAndZ(tileCoord, tileGrid) ? tileCoord : null;\n    };\n    /**\n     * Remove all cached tiles from the source. The next render cycle will fetch new tiles.\n     * @api\n     */\n    TileSource.prototype.clear = function () {\n        this.tileCache.clear();\n    };\n    TileSource.prototype.refresh = function () {\n        this.clear();\n        _super.prototype.refresh.call(this);\n    };\n    /**\n     * Increases the cache size if needed\n     * @param {number} tileCount Minimum number of tiles needed.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     */\n    TileSource.prototype.updateCacheSize = function (tileCount, projection) {\n        var tileCache = this.getTileCacheForProjection(projection);\n        if (tileCount > tileCache.highWaterMark) {\n            tileCache.highWaterMark = tileCount;\n        }\n    };\n    /**\n     * Marks a tile coord as being used, without triggering a load.\n     * @abstract\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     */\n    TileSource.prototype.useTile = function (z, x, y, projection) { };\n    return TileSource;\n}(Source));\n/**\n * @classdesc\n * Events emitted by {@link module:ol/source/Tile~TileSource} instances are instances of this\n * type.\n */\nvar TileSourceEvent = /** @class */ (function (_super) {\n    __extends(TileSourceEvent, _super);\n    /**\n     * @param {string} type Type.\n     * @param {import(\"../Tile.js\").default} tile The tile.\n     */\n    function TileSourceEvent(type, tile) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The tile related to the event.\n         * @type {import(\"../Tile.js\").default}\n         * @api\n         */\n        _this.tile = tile;\n        return _this;\n    }\n    return TileSourceEvent;\n}(Event));\nexport { TileSourceEvent };\nexport default TileSource;\n//# sourceMappingURL=Tile.js.map","/**\n * @module ol/tileurlfunction\n */\nimport { assert } from './asserts.js';\nimport { modulo } from './math.js';\nimport { hash as tileCoordHash } from './tilecoord.js';\n/**\n * @param {string} template Template.\n * @param {import(\"./tilegrid/TileGrid.js\").default} tileGrid Tile grid.\n * @return {import(\"./Tile.js\").UrlFunction} Tile URL function.\n */\nexport function createFromTemplate(template, tileGrid) {\n    var zRegEx = /\\{z\\}/g;\n    var xRegEx = /\\{x\\}/g;\n    var yRegEx = /\\{y\\}/g;\n    var dashYRegEx = /\\{-y\\}/g;\n    return (\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile Coordinate.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"./proj/Projection.js\").default} projection Projection.\n     * @return {string|undefined} Tile URL.\n     */\n    function (tileCoord, pixelRatio, projection) {\n        if (!tileCoord) {\n            return undefined;\n        }\n        else {\n            return template\n                .replace(zRegEx, tileCoord[0].toString())\n                .replace(xRegEx, tileCoord[1].toString())\n                .replace(yRegEx, tileCoord[2].toString())\n                .replace(dashYRegEx, function () {\n                var z = tileCoord[0];\n                var range = tileGrid.getFullTileRange(z);\n                assert(range, 55); // The {-y} placeholder requires a tile grid with extent\n                var y = range.getHeight() - tileCoord[2] - 1;\n                return y.toString();\n            });\n        }\n    });\n}\n/**\n * @param {Array<string>} templates Templates.\n * @param {import(\"./tilegrid/TileGrid.js\").default} tileGrid Tile grid.\n * @return {import(\"./Tile.js\").UrlFunction} Tile URL function.\n */\nexport function createFromTemplates(templates, tileGrid) {\n    var len = templates.length;\n    var tileUrlFunctions = new Array(len);\n    for (var i = 0; i < len; ++i) {\n        tileUrlFunctions[i] = createFromTemplate(templates[i], tileGrid);\n    }\n    return createFromTileUrlFunctions(tileUrlFunctions);\n}\n/**\n * @param {Array<import(\"./Tile.js\").UrlFunction>} tileUrlFunctions Tile URL Functions.\n * @return {import(\"./Tile.js\").UrlFunction} Tile URL function.\n */\nexport function createFromTileUrlFunctions(tileUrlFunctions) {\n    if (tileUrlFunctions.length === 1) {\n        return tileUrlFunctions[0];\n    }\n    return (\n    /**\n     * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile Coordinate.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"./proj/Projection.js\").default} projection Projection.\n     * @return {string|undefined} Tile URL.\n     */\n    function (tileCoord, pixelRatio, projection) {\n        if (!tileCoord) {\n            return undefined;\n        }\n        else {\n            var h = tileCoordHash(tileCoord);\n            var index = modulo(h, tileUrlFunctions.length);\n            return tileUrlFunctions[index](tileCoord, pixelRatio, projection);\n        }\n    });\n}\n/**\n * @param {import(\"./tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n * @param {number} pixelRatio Pixel ratio.\n * @param {import(\"./proj/Projection.js\").default} projection Projection.\n * @return {string|undefined} Tile URL.\n */\nexport function nullTileUrlFunction(tileCoord, pixelRatio, projection) {\n    return undefined;\n}\n/**\n * @param {string} url URL.\n * @return {Array<string>} Array of urls.\n */\nexport function expandUrl(url) {\n    var urls = [];\n    var match = /\\{([a-z])-([a-z])\\}/.exec(url);\n    if (match) {\n        // char range\n        var startCharCode = match[1].charCodeAt(0);\n        var stopCharCode = match[2].charCodeAt(0);\n        var charCode = void 0;\n        for (charCode = startCharCode; charCode <= stopCharCode; ++charCode) {\n            urls.push(url.replace(match[0], String.fromCharCode(charCode)));\n        }\n        return urls;\n    }\n    match = /\\{(\\d+)-(\\d+)\\}/.exec(url);\n    if (match) {\n        // number range\n        var stop_1 = parseInt(match[2], 10);\n        for (var i = parseInt(match[1], 10); i <= stop_1; i++) {\n            urls.push(url.replace(match[0], i.toString()));\n        }\n        return urls;\n    }\n    urls.push(url);\n    return urls;\n}\n//# sourceMappingURL=tileurlfunction.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/source/UrlTile\n */\nimport TileEventType from './TileEventType.js';\nimport TileSource, { TileSourceEvent } from './Tile.js';\nimport TileState from '../TileState.js';\nimport { createFromTemplates, expandUrl } from '../tileurlfunction.js';\nimport { getKeyZXY } from '../tilecoord.js';\nimport { getUid } from '../util.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] Cache size.\n * @property {boolean} [opaque=false] Whether the layer is opaque.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection.\n * @property {import(\"./State.js\").default} [state] State.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] TileGrid.\n * @property {import(\"../Tile.js\").LoadFunction} tileLoadFunction TileLoadFunction.\n * @property {number} [tilePixelRatio] TilePixelRatio.\n * @property {import(\"../Tile.js\").UrlFunction} [tileUrlFunction] TileUrlFunction.\n * @property {string} [url] Url.\n * @property {Array<string>} [urls] Urls.\n * @property {boolean} [wrapX=true] WrapX.\n * @property {number} [transition] Transition.\n * @property {string} [key] Key.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0] ZDirection.\n * @property {boolean} [interpolate=false] Use interpolated values when resampling.  By default,\n * the nearest neighbor is used when resampling.\n */\n/**\n * @classdesc\n * Base class for sources providing tiles divided into a tile grid over http.\n *\n * @fires import(\"./Tile.js\").TileSourceEvent\n */\nvar UrlTile = /** @class */ (function (_super) {\n    __extends(UrlTile, _super);\n    /**\n     * @param {Options} options Image tile options.\n     */\n    function UrlTile(options) {\n        var _this = _super.call(this, {\n            attributions: options.attributions,\n            cacheSize: options.cacheSize,\n            opaque: options.opaque,\n            projection: options.projection,\n            state: options.state,\n            tileGrid: options.tileGrid,\n            tilePixelRatio: options.tilePixelRatio,\n            wrapX: options.wrapX,\n            transition: options.transition,\n            interpolate: options.interpolate,\n            key: options.key,\n            attributionsCollapsible: options.attributionsCollapsible,\n            zDirection: options.zDirection,\n        }) || this;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.generateTileUrlFunction_ =\n            _this.tileUrlFunction === UrlTile.prototype.tileUrlFunction;\n        /**\n         * @protected\n         * @type {import(\"../Tile.js\").LoadFunction}\n         */\n        _this.tileLoadFunction = options.tileLoadFunction;\n        if (options.tileUrlFunction) {\n            _this.tileUrlFunction = options.tileUrlFunction;\n        }\n        /**\n         * @protected\n         * @type {!Array<string>|null}\n         */\n        _this.urls = null;\n        if (options.urls) {\n            _this.setUrls(options.urls);\n        }\n        else if (options.url) {\n            _this.setUrl(options.url);\n        }\n        /**\n         * @private\n         * @type {!Object<string, boolean>}\n         */\n        _this.tileLoadingKeys_ = {};\n        return _this;\n    }\n    /**\n     * Return the tile load function of the source.\n     * @return {import(\"../Tile.js\").LoadFunction} TileLoadFunction\n     * @api\n     */\n    UrlTile.prototype.getTileLoadFunction = function () {\n        return this.tileLoadFunction;\n    };\n    /**\n     * Return the tile URL function of the source.\n     * @return {import(\"../Tile.js\").UrlFunction} TileUrlFunction\n     * @api\n     */\n    UrlTile.prototype.getTileUrlFunction = function () {\n        return Object.getPrototypeOf(this).tileUrlFunction === this.tileUrlFunction\n            ? this.tileUrlFunction.bind(this)\n            : this.tileUrlFunction;\n    };\n    /**\n     * Return the URLs used for this source.\n     * When a tileUrlFunction is used instead of url or urls,\n     * null will be returned.\n     * @return {!Array<string>|null} URLs.\n     * @api\n     */\n    UrlTile.prototype.getUrls = function () {\n        return this.urls;\n    };\n    /**\n     * Handle tile change events.\n     * @param {import(\"../events/Event.js\").default} event Event.\n     * @protected\n     */\n    UrlTile.prototype.handleTileChange = function (event) {\n        var tile = /** @type {import(\"../Tile.js\").default} */ (event.target);\n        var uid = getUid(tile);\n        var tileState = tile.getState();\n        var type;\n        if (tileState == TileState.LOADING) {\n            this.tileLoadingKeys_[uid] = true;\n            type = TileEventType.TILELOADSTART;\n        }\n        else if (uid in this.tileLoadingKeys_) {\n            delete this.tileLoadingKeys_[uid];\n            type =\n                tileState == TileState.ERROR\n                    ? TileEventType.TILELOADERROR\n                    : tileState == TileState.LOADED\n                        ? TileEventType.TILELOADEND\n                        : undefined;\n        }\n        if (type != undefined) {\n            this.dispatchEvent(new TileSourceEvent(type, tile));\n        }\n    };\n    /**\n     * Set the tile load function of the source.\n     * @param {import(\"../Tile.js\").LoadFunction} tileLoadFunction Tile load function.\n     * @api\n     */\n    UrlTile.prototype.setTileLoadFunction = function (tileLoadFunction) {\n        this.tileCache.clear();\n        this.tileLoadFunction = tileLoadFunction;\n        this.changed();\n    };\n    /**\n     * Set the tile URL function of the source.\n     * @param {import(\"../Tile.js\").UrlFunction} tileUrlFunction Tile URL function.\n     * @param {string} [key] Optional new tile key for the source.\n     * @api\n     */\n    UrlTile.prototype.setTileUrlFunction = function (tileUrlFunction, key) {\n        this.tileUrlFunction = tileUrlFunction;\n        this.tileCache.pruneExceptNewestZ();\n        if (typeof key !== 'undefined') {\n            this.setKey(key);\n        }\n        else {\n            this.changed();\n        }\n    };\n    /**\n     * Set the URL to use for requests.\n     * @param {string} url URL.\n     * @api\n     */\n    UrlTile.prototype.setUrl = function (url) {\n        var urls = expandUrl(url);\n        this.urls = urls;\n        this.setUrls(urls);\n    };\n    /**\n     * Set the URLs to use for requests.\n     * @param {Array<string>} urls URLs.\n     * @api\n     */\n    UrlTile.prototype.setUrls = function (urls) {\n        this.urls = urls;\n        var key = urls.join('\\n');\n        if (this.generateTileUrlFunction_) {\n            this.setTileUrlFunction(createFromTemplates(urls, this.tileGrid), key);\n        }\n        else {\n            this.setKey(key);\n        }\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {string|undefined} Tile URL.\n     */\n    UrlTile.prototype.tileUrlFunction = function (tileCoord, pixelRatio, projection) {\n        return undefined;\n    };\n    /**\n     * Marks a tile coord as being used, without triggering a load.\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     */\n    UrlTile.prototype.useTile = function (z, x, y) {\n        var tileCoordKey = getKeyZXY(z, x, y);\n        if (this.tileCache.containsKey(tileCoordKey)) {\n            this.tileCache.get(tileCoordKey);\n        }\n    };\n    return UrlTile;\n}(TileSource));\nexport default UrlTile;\n//# sourceMappingURL=UrlTile.js.map","/**\n * @module ol/source/VectorTile\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport EventType from '../events/EventType.js';\nimport Tile from '../VectorTile.js';\nimport TileCache from '../TileCache.js';\nimport TileState from '../TileState.js';\nimport UrlTile from './UrlTile.js';\nimport VectorRenderTile from '../VectorRenderTile.js';\nimport { buffer as bufferExtent, getIntersection, intersects, } from '../extent.js';\nimport { createForProjection, createXYZ, extentFromProjection, } from '../tilegrid.js';\nimport { fromKey, getCacheKeyForTileKey, getKeyZXY } from '../tilecoord.js';\nimport { isEmpty } from '../obj.js';\nimport { loadFeaturesXhr } from '../featureloader.js';\nimport { toSize } from '../size.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least twice the number of tiles in the viewport.\n * @property {import(\"../extent.js\").Extent} [extent] Extent.\n * @property {import(\"../format/Feature.js\").default} [format] Feature format for tiles. Used and required by the default.\n * @property {boolean} [overlaps=true] This source may have overlapping geometries. Setting this\n * to `false` (e.g. for sources with polygons that represent administrative\n * boundaries or TopoJSON sources) allows the renderer to optimise fill and\n * stroke operations.\n * @property {import(\"../proj.js\").ProjectionLike} [projection='EPSG:3857'] Projection of the tile grid.\n * @property {import(\"./State.js\").default} [state] Source state.\n * @property {typeof import(\"../VectorTile.js\").default} [tileClass] Class used to instantiate image tiles.\n * Default is {@link module:ol/VectorTile}.\n * @property {number} [maxZoom=22] Optional max zoom level. Not used if `tileGrid` is provided.\n * @property {number} [minZoom] Optional min zoom level. Not used if `tileGrid` is provided.\n * @property {number|import(\"../size.js\").Size} [tileSize=512] Optional tile size. Not used if `tileGrid` is provided.\n * @property {number} [maxResolution] Optional tile grid resolution at level zero. Not used if `tileGrid` is provided.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] Tile grid.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction]\n * Optional function to load a tile given a URL. Could look like this for pbf tiles:\n * ```js\n * function(tile, url) {\n *   tile.setLoader(function(extent, resolution, projection) {\n *     fetch(url).then(function(response) {\n *       response.arrayBuffer().then(function(data) {\n *         const format = tile.getFormat() // ol/format/MVT configured as source format\n *         const features = format.readFeatures(data, {\n *           extent: extent,\n *           featureProjection: projection\n *         });\n *         tile.setFeatures(features);\n *       });\n *     });\n *   });\n * }\n * ```\n * If you do not need extent, resolution and projection to get the features for a tile (e.g.\n * for GeoJSON tiles), your `tileLoadFunction` does not need a `setLoader()` call. Only make sure\n * to call `setFeatures()` on the tile:\n * ```js\n * const format = new GeoJSON({featureProjection: map.getView().getProjection()});\n * async function tileLoadFunction(tile, url) {\n *   const response = await fetch(url);\n *   const data = await response.json();\n *   tile.setFeatures(format.readFeatures(data));\n * }\n * ```\n * @property {import(\"../Tile.js\").UrlFunction} [tileUrlFunction] Optional function to get tile URL given a tile coordinate and the projection.\n * @property {string} [url] URL template. Must include `{x}`, `{y}` or `{-y}`, and `{z}` placeholders.\n * A `{?-?}` template pattern, for example `subdomain{a-f}.domain.com`, may be\n * used instead of defining each one separately in the `urls` option.\n * @property {number} [transition] A duration for tile opacity\n * transitions in milliseconds. A duration of 0 disables the opacity transition.\n * @property {Array<string>} [urls] An array of URL templates.\n * @property {boolean} [wrapX=true] Whether to wrap the world horizontally.\n * When set to `false`, only one world\n * will be rendered. When set to `true`, tiles will be wrapped horizontally to\n * render multiple worlds.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=1]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @classdesc\n * Class for layer sources providing vector data divided into a tile grid, to be\n * used with {@link module:ol/layer/VectorTile~VectorTile}. Although this source receives tiles\n * with vector features from the server, it is not meant for feature editing.\n * Features are optimized for rendering, their geometries are clipped at or near\n * tile boundaries and simplified for a view resolution. See\n * {@link module:ol/source/Vector} for vector sources that are suitable for feature\n * editing.\n *\n * @fires import(\"./Tile.js\").TileSourceEvent\n * @api\n */\nvar VectorTile = /** @class */ (function (_super) {\n    __extends(VectorTile, _super);\n    /**\n     * @param {!Options} options Vector tile options.\n     */\n    function VectorTile(options) {\n        var _this = this;\n        var projection = options.projection || 'EPSG:3857';\n        var extent = options.extent || extentFromProjection(projection);\n        var tileGrid = options.tileGrid ||\n            createXYZ({\n                extent: extent,\n                maxResolution: options.maxResolution,\n                maxZoom: options.maxZoom !== undefined ? options.maxZoom : 22,\n                minZoom: options.minZoom,\n                tileSize: options.tileSize || 512,\n            });\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            attributionsCollapsible: options.attributionsCollapsible,\n            cacheSize: options.cacheSize,\n            opaque: false,\n            projection: projection,\n            state: options.state,\n            tileGrid: tileGrid,\n            tileLoadFunction: options.tileLoadFunction\n                ? options.tileLoadFunction\n                : defaultLoadFunction,\n            tileUrlFunction: options.tileUrlFunction,\n            url: options.url,\n            urls: options.urls,\n            wrapX: options.wrapX === undefined ? true : options.wrapX,\n            transition: options.transition,\n            zDirection: options.zDirection === undefined ? 1 : options.zDirection,\n        }) || this;\n        /**\n         * @private\n         * @type {import(\"../format/Feature.js\").default}\n         */\n        _this.format_ = options.format ? options.format : null;\n        /**\n         * @private\n         * @type {TileCache}\n         */\n        _this.sourceTileCache = new TileCache(_this.tileCache.highWaterMark);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.overlaps_ = options.overlaps == undefined ? true : options.overlaps;\n        /**\n         * @protected\n         * @type {typeof import(\"../VectorTile.js\").default}\n         */\n        _this.tileClass = options.tileClass ? options.tileClass : Tile;\n        /**\n         * @private\n         * @type {Object<string, import(\"../tilegrid/TileGrid.js\").default>}\n         */\n        _this.tileGrids_ = {};\n        return _this;\n    }\n    /**\n     * Get features whose bounding box intersects the provided extent. Only features for cached\n     * tiles for the last rendered zoom level are available in the source. So this method is only\n     * suitable for requesting tiles for extents that are currently rendered.\n     *\n     * Features are returned in random tile order and as they are included in the tiles. This means\n     * they can be clipped, duplicated across tiles, and simplified to the render resolution.\n     *\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @return {Array<import(\"../Feature.js\").FeatureLike>} Features.\n     * @api\n     */\n    VectorTile.prototype.getFeaturesInExtent = function (extent) {\n        var features = [];\n        var tileCache = this.tileCache;\n        if (tileCache.getCount() === 0) {\n            return features;\n        }\n        var z = fromKey(tileCache.peekFirstKey())[0];\n        var tileGrid = this.tileGrid;\n        tileCache.forEach(function (tile) {\n            if (tile.tileCoord[0] !== z || tile.getState() !== TileState.LOADED) {\n                return;\n            }\n            var sourceTiles = tile.getSourceTiles();\n            for (var i = 0, ii = sourceTiles.length; i < ii; ++i) {\n                var sourceTile = sourceTiles[i];\n                var tileCoord = sourceTile.tileCoord;\n                if (intersects(extent, tileGrid.getTileCoordExtent(tileCoord))) {\n                    var tileFeatures = sourceTile.getFeatures();\n                    if (tileFeatures) {\n                        for (var j = 0, jj = tileFeatures.length; j < jj; ++j) {\n                            var candidate = tileFeatures[j];\n                            var geometry = candidate.getGeometry();\n                            if (intersects(extent, geometry.getExtent())) {\n                                features.push(candidate);\n                            }\n                        }\n                    }\n                }\n            }\n        });\n        return features;\n    };\n    /**\n     * @return {boolean} The source can have overlapping geometries.\n     */\n    VectorTile.prototype.getOverlaps = function () {\n        return this.overlaps_;\n    };\n    /**\n     * clear {@link module:ol/TileCache~TileCache} and delete all source tiles\n     * @api\n     */\n    VectorTile.prototype.clear = function () {\n        this.tileCache.clear();\n        this.sourceTileCache.clear();\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {!Object<string, boolean>} usedTiles Used tiles.\n     */\n    VectorTile.prototype.expireCache = function (projection, usedTiles) {\n        var tileCache = this.getTileCacheForProjection(projection);\n        var usedSourceTiles = Object.keys(usedTiles).reduce(function (acc, key) {\n            var cacheKey = getCacheKeyForTileKey(key);\n            if (tileCache.containsKey(cacheKey)) {\n                var sourceTiles = tileCache.get(cacheKey).sourceTiles;\n                for (var i = 0, ii = sourceTiles.length; i < ii; ++i) {\n                    acc[sourceTiles[i].getKey()] = true;\n                }\n            }\n            return acc;\n        }, {});\n        _super.prototype.expireCache.call(this, projection, usedTiles);\n        this.sourceTileCache.expireCache(usedSourceTiles);\n    };\n    /**\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection\").default} projection Projection.\n     * @param {VectorRenderTile} tile Vector image tile.\n     * @return {Array<import(\"../VectorTile\").default>} Tile keys.\n     */\n    VectorTile.prototype.getSourceTiles = function (pixelRatio, projection, tile) {\n        var _this = this;\n        if (tile.getState() === TileState.IDLE) {\n            tile.setState(TileState.LOADING);\n            var urlTileCoord = tile.wrappedTileCoord;\n            var tileGrid = this.getTileGridForProjection(projection);\n            var extent = tileGrid.getTileCoordExtent(urlTileCoord);\n            var z = urlTileCoord[0];\n            var resolution = tileGrid.getResolution(z);\n            // make extent 1 pixel smaller so we don't load tiles for < 0.5 pixel render space\n            bufferExtent(extent, -resolution, extent);\n            var sourceTileGrid_1 = this.tileGrid;\n            var sourceExtent = sourceTileGrid_1.getExtent();\n            if (sourceExtent) {\n                getIntersection(extent, sourceExtent, extent);\n            }\n            var sourceZ = sourceTileGrid_1.getZForResolution(resolution, 1);\n            sourceTileGrid_1.forEachTileCoord(extent, sourceZ, function (sourceTileCoord) {\n                var tileUrl = _this.tileUrlFunction(sourceTileCoord, pixelRatio, projection);\n                var sourceTile = _this.sourceTileCache.containsKey(tileUrl)\n                    ? _this.sourceTileCache.get(tileUrl)\n                    : new _this.tileClass(sourceTileCoord, tileUrl ? TileState.IDLE : TileState.EMPTY, tileUrl, _this.format_, _this.tileLoadFunction);\n                tile.sourceTiles.push(sourceTile);\n                var sourceTileState = sourceTile.getState();\n                if (sourceTileState < TileState.LOADED) {\n                    var listenChange_1 = function (event) {\n                        _this.handleTileChange(event);\n                        var state = sourceTile.getState();\n                        if (state === TileState.LOADED || state === TileState.ERROR) {\n                            var sourceTileKey = sourceTile.getKey();\n                            if (sourceTileKey in tile.errorTileKeys) {\n                                if (sourceTile.getState() === TileState.LOADED) {\n                                    delete tile.errorTileKeys[sourceTileKey];\n                                }\n                            }\n                            else {\n                                tile.loadingSourceTiles--;\n                            }\n                            if (state === TileState.ERROR) {\n                                tile.errorTileKeys[sourceTileKey] = true;\n                            }\n                            else {\n                                sourceTile.removeEventListener(EventType.CHANGE, listenChange_1);\n                            }\n                            if (tile.loadingSourceTiles === 0) {\n                                tile.setState(isEmpty(tile.errorTileKeys)\n                                    ? TileState.LOADED\n                                    : TileState.ERROR);\n                            }\n                        }\n                    };\n                    sourceTile.addEventListener(EventType.CHANGE, listenChange_1);\n                    tile.loadingSourceTiles++;\n                }\n                if (sourceTileState === TileState.IDLE) {\n                    sourceTile.extent =\n                        sourceTileGrid_1.getTileCoordExtent(sourceTileCoord);\n                    sourceTile.projection = projection;\n                    sourceTile.resolution = sourceTileGrid_1.getResolution(sourceTileCoord[0]);\n                    _this.sourceTileCache.set(tileUrl, sourceTile);\n                    sourceTile.load();\n                }\n            });\n            if (!tile.loadingSourceTiles) {\n                tile.setState(tile.sourceTiles.some(function (sourceTile) { return sourceTile.getState() === TileState.ERROR; })\n                    ? TileState.ERROR\n                    : TileState.LOADED);\n            }\n        }\n        return tile.sourceTiles;\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!VectorRenderTile} Tile.\n     */\n    VectorTile.prototype.getTile = function (z, x, y, pixelRatio, projection) {\n        var coordKey = getKeyZXY(z, x, y);\n        var key = this.getKey();\n        var tile;\n        if (this.tileCache.containsKey(coordKey)) {\n            tile = this.tileCache.get(coordKey);\n            if (tile.key === key) {\n                return tile;\n            }\n        }\n        var tileCoord = [z, x, y];\n        var urlTileCoord = this.getTileCoordForTileUrlFunction(tileCoord, projection);\n        var sourceExtent = this.getTileGrid().getExtent();\n        var tileGrid = this.getTileGridForProjection(projection);\n        if (urlTileCoord && sourceExtent) {\n            var tileExtent = tileGrid.getTileCoordExtent(urlTileCoord);\n            // make extent 1 pixel smaller so we don't load tiles for < 0.5 pixel render space\n            bufferExtent(tileExtent, -tileGrid.getResolution(z), tileExtent);\n            if (!intersects(sourceExtent, tileExtent)) {\n                urlTileCoord = null;\n            }\n        }\n        var empty = true;\n        if (urlTileCoord !== null) {\n            var sourceTileGrid = this.tileGrid;\n            var resolution = tileGrid.getResolution(z);\n            var sourceZ = sourceTileGrid.getZForResolution(resolution, 1);\n            // make extent 1 pixel smaller so we don't load tiles for < 0.5 pixel render space\n            var extent = tileGrid.getTileCoordExtent(urlTileCoord);\n            bufferExtent(extent, -resolution, extent);\n            sourceTileGrid.forEachTileCoord(extent, sourceZ, function (sourceTileCoord) {\n                empty =\n                    empty &&\n                        !this.tileUrlFunction(sourceTileCoord, pixelRatio, projection);\n            }.bind(this));\n        }\n        var newTile = new VectorRenderTile(tileCoord, empty ? TileState.EMPTY : TileState.IDLE, urlTileCoord, this.getSourceTiles.bind(this, pixelRatio, projection));\n        newTile.key = key;\n        if (tile) {\n            newTile.interimTile = tile;\n            newTile.refreshInterimChain();\n            this.tileCache.replace(coordKey, newTile);\n        }\n        else {\n            this.tileCache.set(coordKey, newTile);\n        }\n        return newTile;\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!import(\"../tilegrid/TileGrid.js\").default} Tile grid.\n     */\n    VectorTile.prototype.getTileGridForProjection = function (projection) {\n        var code = projection.getCode();\n        var tileGrid = this.tileGrids_[code];\n        if (!tileGrid) {\n            // A tile grid that matches the tile size of the source tile grid is more\n            // likely to have 1:1 relationships between source tiles and rendered tiles.\n            var sourceTileGrid = this.tileGrid;\n            tileGrid = createForProjection(projection, undefined, sourceTileGrid\n                ? sourceTileGrid.getTileSize(sourceTileGrid.getMinZoom())\n                : undefined);\n            this.tileGrids_[code] = tileGrid;\n        }\n        return tileGrid;\n    };\n    /**\n     * Get the tile pixel ratio for this source.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Tile pixel ratio.\n     */\n    VectorTile.prototype.getTilePixelRatio = function (pixelRatio) {\n        return pixelRatio;\n    };\n    /**\n     * @param {number} z Z.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../size.js\").Size} Tile size.\n     */\n    VectorTile.prototype.getTilePixelSize = function (z, pixelRatio, projection) {\n        var tileGrid = this.getTileGridForProjection(projection);\n        var tileSize = toSize(tileGrid.getTileSize(z), this.tmpSize);\n        return [\n            Math.round(tileSize[0] * pixelRatio),\n            Math.round(tileSize[1] * pixelRatio),\n        ];\n    };\n    /**\n     * Increases the cache size if needed\n     * @param {number} tileCount Minimum number of tiles needed.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     */\n    VectorTile.prototype.updateCacheSize = function (tileCount, projection) {\n        _super.prototype.updateCacheSize.call(this, tileCount * 2, projection);\n        this.sourceTileCache.highWaterMark =\n            this.getTileCacheForProjection(projection).highWaterMark;\n    };\n    return VectorTile;\n}(UrlTile));\nexport default VectorTile;\n/**\n * Sets the loader for a tile.\n * @param {import(\"../VectorTile.js\").default} tile Vector tile.\n * @param {string} url URL.\n */\nexport function defaultLoadFunction(tile, url) {\n    tile.setLoader(\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     */\n    function (extent, resolution, projection) {\n        loadFeaturesXhr(url, tile.getFormat(), extent, resolution, projection, tile.onLoad.bind(tile), tile.onError.bind(tile));\n    });\n}\n//# sourceMappingURL=VectorTile.js.map","/**\n * @module ol/reproj/Triangulation\n */\nimport { boundingExtent, createEmpty, extendCoordinate, getArea, getBottomLeft, getBottomRight, getTopLeft, getTopRight, getWidth, intersects, } from '../extent.js';\nimport { getTransform } from '../proj.js';\nimport { log2, modulo } from '../math.js';\n/**\n * Single triangle; consists of 3 source points and 3 target points.\n * @typedef {Object} Triangle\n * @property {Array<import(\"../coordinate.js\").Coordinate>} source Source.\n * @property {Array<import(\"../coordinate.js\").Coordinate>} target Target.\n */\n/**\n * Maximum number of subdivision steps during raster reprojection triangulation.\n * Prevents high memory usage and large number of proj4 calls (for certain\n * transformations and areas). At most `2*(2^this)` triangles are created for\n * each triangulated extent (tile/image).\n * @type {number}\n */\nvar MAX_SUBDIVISION = 10;\n/**\n * Maximum allowed size of triangle relative to world width. When transforming\n * corners of world extent between certain projections, the resulting\n * triangulation seems to have zero error and no subdivision is performed. If\n * the triangle width is more than this (relative to world width; 0-1),\n * subdivison is forced (up to `MAX_SUBDIVISION`). Default is `0.25`.\n * @type {number}\n */\nvar MAX_TRIANGLE_WIDTH = 0.25;\n/**\n * @classdesc\n * Class containing triangulation of the given target extent.\n * Used for determining source data and the reprojection itself.\n */\nvar Triangulation = /** @class */ (function () {\n    /**\n     * @param {import(\"../proj/Projection.js\").default} sourceProj Source projection.\n     * @param {import(\"../proj/Projection.js\").default} targetProj Target projection.\n     * @param {import(\"../extent.js\").Extent} targetExtent Target extent to triangulate.\n     * @param {import(\"../extent.js\").Extent} maxSourceExtent Maximal source extent that can be used.\n     * @param {number} errorThreshold Acceptable error (in source units).\n     * @param {?number} opt_destinationResolution The (optional) resolution of the destination.\n     */\n    function Triangulation(sourceProj, targetProj, targetExtent, maxSourceExtent, errorThreshold, opt_destinationResolution) {\n        /**\n         * @type {import(\"../proj/Projection.js\").default}\n         * @private\n         */\n        this.sourceProj_ = sourceProj;\n        /**\n         * @type {import(\"../proj/Projection.js\").default}\n         * @private\n         */\n        this.targetProj_ = targetProj;\n        /** @type {!Object<string, import(\"../coordinate.js\").Coordinate>} */\n        var transformInvCache = {};\n        var transformInv = getTransform(this.targetProj_, this.sourceProj_);\n        /**\n         * @param {import(\"../coordinate.js\").Coordinate} c A coordinate.\n         * @return {import(\"../coordinate.js\").Coordinate} Transformed coordinate.\n         * @private\n         */\n        this.transformInv_ = function (c) {\n            var key = c[0] + '/' + c[1];\n            if (!transformInvCache[key]) {\n                transformInvCache[key] = transformInv(c);\n            }\n            return transformInvCache[key];\n        };\n        /**\n         * @type {import(\"../extent.js\").Extent}\n         * @private\n         */\n        this.maxSourceExtent_ = maxSourceExtent;\n        /**\n         * @type {number}\n         * @private\n         */\n        this.errorThresholdSquared_ = errorThreshold * errorThreshold;\n        /**\n         * @type {Array<Triangle>}\n         * @private\n         */\n        this.triangles_ = [];\n        /**\n         * Indicates that the triangulation crosses edge of the source projection.\n         * @type {boolean}\n         * @private\n         */\n        this.wrapsXInSource_ = false;\n        /**\n         * @type {boolean}\n         * @private\n         */\n        this.canWrapXInSource_ =\n            this.sourceProj_.canWrapX() &&\n                !!maxSourceExtent &&\n                !!this.sourceProj_.getExtent() &&\n                getWidth(maxSourceExtent) == getWidth(this.sourceProj_.getExtent());\n        /**\n         * @type {?number}\n         * @private\n         */\n        this.sourceWorldWidth_ = this.sourceProj_.getExtent()\n            ? getWidth(this.sourceProj_.getExtent())\n            : null;\n        /**\n         * @type {?number}\n         * @private\n         */\n        this.targetWorldWidth_ = this.targetProj_.getExtent()\n            ? getWidth(this.targetProj_.getExtent())\n            : null;\n        var destinationTopLeft = getTopLeft(targetExtent);\n        var destinationTopRight = getTopRight(targetExtent);\n        var destinationBottomRight = getBottomRight(targetExtent);\n        var destinationBottomLeft = getBottomLeft(targetExtent);\n        var sourceTopLeft = this.transformInv_(destinationTopLeft);\n        var sourceTopRight = this.transformInv_(destinationTopRight);\n        var sourceBottomRight = this.transformInv_(destinationBottomRight);\n        var sourceBottomLeft = this.transformInv_(destinationBottomLeft);\n        /*\n         * The maxSubdivision controls how many splittings of the target area can\n         * be done. The idea here is to do a linear mapping of the target areas\n         * but the actual overal reprojection (can be) extremely non-linear. The\n         * default value of MAX_SUBDIVISION was chosen based on mapping a 256x256\n         * tile size. However this function is also called to remap canvas rendered\n         * layers which can be much larger. This calculation increases the maxSubdivision\n         * value by the right factor so that each 256x256 pixel area has\n         * MAX_SUBDIVISION divisions.\n         */\n        var maxSubdivision = MAX_SUBDIVISION +\n            (opt_destinationResolution\n                ? Math.max(0, Math.ceil(log2(getArea(targetExtent) /\n                    (opt_destinationResolution *\n                        opt_destinationResolution *\n                        256 *\n                        256))))\n                : 0);\n        this.addQuad_(destinationTopLeft, destinationTopRight, destinationBottomRight, destinationBottomLeft, sourceTopLeft, sourceTopRight, sourceBottomRight, sourceBottomLeft, maxSubdivision);\n        if (this.wrapsXInSource_) {\n            var leftBound_1 = Infinity;\n            this.triangles_.forEach(function (triangle, i, arr) {\n                leftBound_1 = Math.min(leftBound_1, triangle.source[0][0], triangle.source[1][0], triangle.source[2][0]);\n            });\n            // Shift triangles to be as close to `leftBound` as possible\n            // (if the distance is more than `worldWidth / 2` it can be closer.\n            this.triangles_.forEach(function (triangle) {\n                if (Math.max(triangle.source[0][0], triangle.source[1][0], triangle.source[2][0]) -\n                    leftBound_1 >\n                    this.sourceWorldWidth_ / 2) {\n                    var newTriangle = [\n                        [triangle.source[0][0], triangle.source[0][1]],\n                        [triangle.source[1][0], triangle.source[1][1]],\n                        [triangle.source[2][0], triangle.source[2][1]],\n                    ];\n                    if (newTriangle[0][0] - leftBound_1 > this.sourceWorldWidth_ / 2) {\n                        newTriangle[0][0] -= this.sourceWorldWidth_;\n                    }\n                    if (newTriangle[1][0] - leftBound_1 > this.sourceWorldWidth_ / 2) {\n                        newTriangle[1][0] -= this.sourceWorldWidth_;\n                    }\n                    if (newTriangle[2][0] - leftBound_1 > this.sourceWorldWidth_ / 2) {\n                        newTriangle[2][0] -= this.sourceWorldWidth_;\n                    }\n                    // Rarely (if the extent contains both the dateline and prime meridian)\n                    // the shift can in turn break some triangles.\n                    // Detect this here and don't shift in such cases.\n                    var minX = Math.min(newTriangle[0][0], newTriangle[1][0], newTriangle[2][0]);\n                    var maxX = Math.max(newTriangle[0][0], newTriangle[1][0], newTriangle[2][0]);\n                    if (maxX - minX < this.sourceWorldWidth_ / 2) {\n                        triangle.source = newTriangle;\n                    }\n                }\n            }.bind(this));\n        }\n        transformInvCache = {};\n    }\n    /**\n     * Adds triangle to the triangulation.\n     * @param {import(\"../coordinate.js\").Coordinate} a The target a coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} b The target b coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} c The target c coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} aSrc The source a coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} bSrc The source b coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} cSrc The source c coordinate.\n     * @private\n     */\n    Triangulation.prototype.addTriangle_ = function (a, b, c, aSrc, bSrc, cSrc) {\n        this.triangles_.push({\n            source: [aSrc, bSrc, cSrc],\n            target: [a, b, c],\n        });\n    };\n    /**\n     * Adds quad (points in clock-wise order) to the triangulation\n     * (and reprojects the vertices) if valid.\n     * Performs quad subdivision if needed to increase precision.\n     *\n     * @param {import(\"../coordinate.js\").Coordinate} a The target a coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} b The target b coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} c The target c coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} d The target d coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} aSrc The source a coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} bSrc The source b coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} cSrc The source c coordinate.\n     * @param {import(\"../coordinate.js\").Coordinate} dSrc The source d coordinate.\n     * @param {number} maxSubdivision Maximal allowed subdivision of the quad.\n     * @private\n     */\n    Triangulation.prototype.addQuad_ = function (a, b, c, d, aSrc, bSrc, cSrc, dSrc, maxSubdivision) {\n        var sourceQuadExtent = boundingExtent([aSrc, bSrc, cSrc, dSrc]);\n        var sourceCoverageX = this.sourceWorldWidth_\n            ? getWidth(sourceQuadExtent) / this.sourceWorldWidth_\n            : null;\n        var sourceWorldWidth = /** @type {number} */ (this.sourceWorldWidth_);\n        // when the quad is wrapped in the source projection\n        // it covers most of the projection extent, but not fully\n        var wrapsX = this.sourceProj_.canWrapX() &&\n            sourceCoverageX > 0.5 &&\n            sourceCoverageX < 1;\n        var needsSubdivision = false;\n        if (maxSubdivision > 0) {\n            if (this.targetProj_.isGlobal() && this.targetWorldWidth_) {\n                var targetQuadExtent = boundingExtent([a, b, c, d]);\n                var targetCoverageX = getWidth(targetQuadExtent) / this.targetWorldWidth_;\n                needsSubdivision =\n                    targetCoverageX > MAX_TRIANGLE_WIDTH || needsSubdivision;\n            }\n            if (!wrapsX && this.sourceProj_.isGlobal() && sourceCoverageX) {\n                needsSubdivision =\n                    sourceCoverageX > MAX_TRIANGLE_WIDTH || needsSubdivision;\n            }\n        }\n        if (!needsSubdivision && this.maxSourceExtent_) {\n            if (isFinite(sourceQuadExtent[0]) &&\n                isFinite(sourceQuadExtent[1]) &&\n                isFinite(sourceQuadExtent[2]) &&\n                isFinite(sourceQuadExtent[3])) {\n                if (!intersects(sourceQuadExtent, this.maxSourceExtent_)) {\n                    // whole quad outside source projection extent -> ignore\n                    return;\n                }\n            }\n        }\n        var isNotFinite = 0;\n        if (!needsSubdivision) {\n            if (!isFinite(aSrc[0]) ||\n                !isFinite(aSrc[1]) ||\n                !isFinite(bSrc[0]) ||\n                !isFinite(bSrc[1]) ||\n                !isFinite(cSrc[0]) ||\n                !isFinite(cSrc[1]) ||\n                !isFinite(dSrc[0]) ||\n                !isFinite(dSrc[1])) {\n                if (maxSubdivision > 0) {\n                    needsSubdivision = true;\n                }\n                else {\n                    // It might be the case that only 1 of the points is infinite. In this case\n                    // we can draw a single triangle with the other three points\n                    isNotFinite =\n                        (!isFinite(aSrc[0]) || !isFinite(aSrc[1]) ? 8 : 0) +\n                            (!isFinite(bSrc[0]) || !isFinite(bSrc[1]) ? 4 : 0) +\n                            (!isFinite(cSrc[0]) || !isFinite(cSrc[1]) ? 2 : 0) +\n                            (!isFinite(dSrc[0]) || !isFinite(dSrc[1]) ? 1 : 0);\n                    if (isNotFinite != 1 &&\n                        isNotFinite != 2 &&\n                        isNotFinite != 4 &&\n                        isNotFinite != 8) {\n                        return;\n                    }\n                }\n            }\n        }\n        if (maxSubdivision > 0) {\n            if (!needsSubdivision) {\n                var center = [(a[0] + c[0]) / 2, (a[1] + c[1]) / 2];\n                var centerSrc = this.transformInv_(center);\n                var dx = void 0;\n                if (wrapsX) {\n                    var centerSrcEstimX = (modulo(aSrc[0], sourceWorldWidth) +\n                        modulo(cSrc[0], sourceWorldWidth)) /\n                        2;\n                    dx = centerSrcEstimX - modulo(centerSrc[0], sourceWorldWidth);\n                }\n                else {\n                    dx = (aSrc[0] + cSrc[0]) / 2 - centerSrc[0];\n                }\n                var dy = (aSrc[1] + cSrc[1]) / 2 - centerSrc[1];\n                var centerSrcErrorSquared = dx * dx + dy * dy;\n                needsSubdivision = centerSrcErrorSquared > this.errorThresholdSquared_;\n            }\n            if (needsSubdivision) {\n                if (Math.abs(a[0] - c[0]) <= Math.abs(a[1] - c[1])) {\n                    // split horizontally (top & bottom)\n                    var bc = [(b[0] + c[0]) / 2, (b[1] + c[1]) / 2];\n                    var bcSrc = this.transformInv_(bc);\n                    var da = [(d[0] + a[0]) / 2, (d[1] + a[1]) / 2];\n                    var daSrc = this.transformInv_(da);\n                    this.addQuad_(a, b, bc, da, aSrc, bSrc, bcSrc, daSrc, maxSubdivision - 1);\n                    this.addQuad_(da, bc, c, d, daSrc, bcSrc, cSrc, dSrc, maxSubdivision - 1);\n                }\n                else {\n                    // split vertically (left & right)\n                    var ab = [(a[0] + b[0]) / 2, (a[1] + b[1]) / 2];\n                    var abSrc = this.transformInv_(ab);\n                    var cd = [(c[0] + d[0]) / 2, (c[1] + d[1]) / 2];\n                    var cdSrc = this.transformInv_(cd);\n                    this.addQuad_(a, ab, cd, d, aSrc, abSrc, cdSrc, dSrc, maxSubdivision - 1);\n                    this.addQuad_(ab, b, c, cd, abSrc, bSrc, cSrc, cdSrc, maxSubdivision - 1);\n                }\n                return;\n            }\n        }\n        if (wrapsX) {\n            if (!this.canWrapXInSource_) {\n                return;\n            }\n            this.wrapsXInSource_ = true;\n        }\n        // Exactly zero or one of *Src is not finite\n        // The triangles must have the diagonal line as the first side\n        // This is to allow easy code in reproj.s to make it straight for broken\n        // browsers that can't handle diagonal clipping\n        if ((isNotFinite & 0xb) == 0) {\n            this.addTriangle_(a, c, d, aSrc, cSrc, dSrc);\n        }\n        if ((isNotFinite & 0xe) == 0) {\n            this.addTriangle_(a, c, b, aSrc, cSrc, bSrc);\n        }\n        if (isNotFinite) {\n            // Try the other two triangles\n            if ((isNotFinite & 0xd) == 0) {\n                this.addTriangle_(b, d, a, bSrc, dSrc, aSrc);\n            }\n            if ((isNotFinite & 0x7) == 0) {\n                this.addTriangle_(b, d, c, bSrc, dSrc, cSrc);\n            }\n        }\n    };\n    /**\n     * Calculates extent of the 'source' coordinates from all the triangles.\n     *\n     * @return {import(\"../extent.js\").Extent} Calculated extent.\n     */\n    Triangulation.prototype.calculateSourceExtent = function () {\n        var extent = createEmpty();\n        this.triangles_.forEach(function (triangle, i, arr) {\n            var src = triangle.source;\n            extendCoordinate(extent, src[0]);\n            extendCoordinate(extent, src[1]);\n            extendCoordinate(extent, src[2]);\n        });\n        return extent;\n    };\n    /**\n     * @return {Array<Triangle>} Array of the calculated triangles.\n     */\n    Triangulation.prototype.getTriangles = function () {\n        return this.triangles_;\n    };\n    return Triangulation;\n}());\nexport default Triangulation;\n//# sourceMappingURL=Triangulation.js.map","/**\n * @module ol/reproj\n */\nimport { IMAGE_SMOOTHING_DISABLED } from './renderer/canvas/common.js';\nimport { assign } from './obj.js';\nimport { containsCoordinate, createEmpty, extend, forEachCorner, getCenter, getHeight, getTopLeft, getWidth, } from './extent.js';\nimport { createCanvasContext2D } from './dom.js';\nimport { getPointResolution, transform } from './proj.js';\nimport { solveLinearSystem } from './math.js';\nvar brokenDiagonalRendering_;\n/**\n * This draws a small triangle into a canvas by setting the triangle as the clip region\n * and then drawing a (too large) rectangle\n *\n * @param {CanvasRenderingContext2D} ctx The context in which to draw the triangle\n * @param {number} u1 The x-coordinate of the second point. The first point is 0,0.\n * @param {number} v1 The y-coordinate of the second point.\n * @param {number} u2 The x-coordinate of the third point.\n * @param {number} v2 The y-coordinate of the third point.\n */\nfunction drawTestTriangle(ctx, u1, v1, u2, v2) {\n    ctx.beginPath();\n    ctx.moveTo(0, 0);\n    ctx.lineTo(u1, v1);\n    ctx.lineTo(u2, v2);\n    ctx.closePath();\n    ctx.save();\n    ctx.clip();\n    ctx.fillRect(0, 0, Math.max(u1, u2) + 1, Math.max(v1, v2));\n    ctx.restore();\n}\n/**\n * Given the data from getImageData, see if the right values appear at the provided offset.\n * Returns true if either the color or transparency is off\n *\n * @param {Uint8ClampedArray} data The data returned from getImageData\n * @param {number} offset The pixel offset from the start of data.\n * @return {boolean} true if the diagonal rendering is broken\n */\nfunction verifyBrokenDiagonalRendering(data, offset) {\n    // the values ought to be close to the rgba(210, 0, 0, 0.75)\n    return (Math.abs(data[offset * 4] - 210) > 2 ||\n        Math.abs(data[offset * 4 + 3] - 0.75 * 255) > 2);\n}\n/**\n * Determines if the current browser configuration can render triangular clip regions correctly.\n * This value is cached so the function is only expensive the first time called.\n * Firefox on Windows (as of now) does not if HWA is enabled. See https://bugzilla.mozilla.org/show_bug.cgi?id=1606976\n * IE also doesn't. Chrome works, and everything seems to work on OSX and Android. This function caches the\n * result. I suppose that it is conceivably possible that a browser might flip modes while the app is\n * running, but lets hope not.\n *\n * @return {boolean} true if the Diagonal Rendering is broken.\n */\nfunction isBrokenDiagonalRendering() {\n    if (brokenDiagonalRendering_ === undefined) {\n        var ctx = document.createElement('canvas').getContext('2d');\n        ctx.globalCompositeOperation = 'lighter';\n        ctx.fillStyle = 'rgba(210, 0, 0, 0.75)';\n        drawTestTriangle(ctx, 4, 5, 4, 0);\n        drawTestTriangle(ctx, 4, 5, 0, 5);\n        var data = ctx.getImageData(0, 0, 3, 3).data;\n        brokenDiagonalRendering_ =\n            verifyBrokenDiagonalRendering(data, 0) ||\n                verifyBrokenDiagonalRendering(data, 4) ||\n                verifyBrokenDiagonalRendering(data, 8);\n    }\n    return brokenDiagonalRendering_;\n}\n/**\n * Calculates ideal resolution to use from the source in order to achieve\n * pixel mapping as close as possible to 1:1 during reprojection.\n * The resolution is calculated regardless of what resolutions\n * are actually available in the dataset (TileGrid, Image, ...).\n *\n * @param {import(\"./proj/Projection.js\").default} sourceProj Source projection.\n * @param {import(\"./proj/Projection.js\").default} targetProj Target projection.\n * @param {import(\"./coordinate.js\").Coordinate} targetCenter Target center.\n * @param {number} targetResolution Target resolution.\n * @return {number} The best resolution to use. Can be +-Infinity, NaN or 0.\n */\nexport function calculateSourceResolution(sourceProj, targetProj, targetCenter, targetResolution) {\n    var sourceCenter = transform(targetCenter, targetProj, sourceProj);\n    // calculate the ideal resolution of the source data\n    var sourceResolution = getPointResolution(targetProj, targetResolution, targetCenter);\n    var targetMetersPerUnit = targetProj.getMetersPerUnit();\n    if (targetMetersPerUnit !== undefined) {\n        sourceResolution *= targetMetersPerUnit;\n    }\n    var sourceMetersPerUnit = sourceProj.getMetersPerUnit();\n    if (sourceMetersPerUnit !== undefined) {\n        sourceResolution /= sourceMetersPerUnit;\n    }\n    // Based on the projection properties, the point resolution at the specified\n    // coordinates may be slightly different. We need to reverse-compensate this\n    // in order to achieve optimal results.\n    var sourceExtent = sourceProj.getExtent();\n    if (!sourceExtent || containsCoordinate(sourceExtent, sourceCenter)) {\n        var compensationFactor = getPointResolution(sourceProj, sourceResolution, sourceCenter) /\n            sourceResolution;\n        if (isFinite(compensationFactor) && compensationFactor > 0) {\n            sourceResolution /= compensationFactor;\n        }\n    }\n    return sourceResolution;\n}\n/**\n * Calculates ideal resolution to use from the source in order to achieve\n * pixel mapping as close as possible to 1:1 during reprojection.\n * The resolution is calculated regardless of what resolutions\n * are actually available in the dataset (TileGrid, Image, ...).\n *\n * @param {import(\"./proj/Projection.js\").default} sourceProj Source projection.\n * @param {import(\"./proj/Projection.js\").default} targetProj Target projection.\n * @param {import(\"./extent.js\").Extent} targetExtent Target extent\n * @param {number} targetResolution Target resolution.\n * @return {number} The best resolution to use. Can be +-Infinity, NaN or 0.\n */\nexport function calculateSourceExtentResolution(sourceProj, targetProj, targetExtent, targetResolution) {\n    var targetCenter = getCenter(targetExtent);\n    var sourceResolution = calculateSourceResolution(sourceProj, targetProj, targetCenter, targetResolution);\n    if (!isFinite(sourceResolution) || sourceResolution <= 0) {\n        forEachCorner(targetExtent, function (corner) {\n            sourceResolution = calculateSourceResolution(sourceProj, targetProj, corner, targetResolution);\n            return isFinite(sourceResolution) && sourceResolution > 0;\n        });\n    }\n    return sourceResolution;\n}\n/**\n * @typedef {Object} ImageExtent\n * @property {import(\"./extent.js\").Extent} extent Extent.\n * @property {HTMLCanvasElement|HTMLImageElement|HTMLVideoElement} image Image.\n */\n/**\n * Renders the source data into new canvas based on the triangulation.\n *\n * @param {number} width Width of the canvas.\n * @param {number} height Height of the canvas.\n * @param {number} pixelRatio Pixel ratio.\n * @param {number} sourceResolution Source resolution.\n * @param {import(\"./extent.js\").Extent} sourceExtent Extent of the data source.\n * @param {number} targetResolution Target resolution.\n * @param {import(\"./extent.js\").Extent} targetExtent Target extent.\n * @param {import(\"./reproj/Triangulation.js\").default} triangulation Calculated triangulation.\n * @param {Array<ImageExtent>} sources Array of sources.\n * @param {number} gutter Gutter of the sources.\n * @param {boolean} [opt_renderEdges] Render reprojection edges.\n * @param {object} [opt_interpolate] Use linear interpolation when resampling.\n * @return {HTMLCanvasElement} Canvas with reprojected data.\n */\nexport function render(width, height, pixelRatio, sourceResolution, sourceExtent, targetResolution, targetExtent, triangulation, sources, gutter, opt_renderEdges, opt_interpolate) {\n    var context = createCanvasContext2D(Math.round(pixelRatio * width), Math.round(pixelRatio * height));\n    if (!opt_interpolate) {\n        assign(context, IMAGE_SMOOTHING_DISABLED);\n    }\n    if (sources.length === 0) {\n        return context.canvas;\n    }\n    context.scale(pixelRatio, pixelRatio);\n    function pixelRound(value) {\n        return Math.round(value * pixelRatio) / pixelRatio;\n    }\n    context.globalCompositeOperation = 'lighter';\n    var sourceDataExtent = createEmpty();\n    sources.forEach(function (src, i, arr) {\n        extend(sourceDataExtent, src.extent);\n    });\n    var canvasWidthInUnits = getWidth(sourceDataExtent);\n    var canvasHeightInUnits = getHeight(sourceDataExtent);\n    var stitchContext = createCanvasContext2D(Math.round((pixelRatio * canvasWidthInUnits) / sourceResolution), Math.round((pixelRatio * canvasHeightInUnits) / sourceResolution));\n    if (!opt_interpolate) {\n        assign(stitchContext, IMAGE_SMOOTHING_DISABLED);\n    }\n    var stitchScale = pixelRatio / sourceResolution;\n    sources.forEach(function (src, i, arr) {\n        var xPos = src.extent[0] - sourceDataExtent[0];\n        var yPos = -(src.extent[3] - sourceDataExtent[3]);\n        var srcWidth = getWidth(src.extent);\n        var srcHeight = getHeight(src.extent);\n        // This test should never fail -- but it does. Need to find a fix the upstream condition\n        if (src.image.width > 0 && src.image.height > 0) {\n            stitchContext.drawImage(src.image, gutter, gutter, src.image.width - 2 * gutter, src.image.height - 2 * gutter, xPos * stitchScale, yPos * stitchScale, srcWidth * stitchScale, srcHeight * stitchScale);\n        }\n    });\n    var targetTopLeft = getTopLeft(targetExtent);\n    triangulation.getTriangles().forEach(function (triangle, i, arr) {\n        /* Calculate affine transform (src -> dst)\n         * Resulting matrix can be used to transform coordinate\n         * from `sourceProjection` to destination pixels.\n         *\n         * To optimize number of context calls and increase numerical stability,\n         * we also do the following operations:\n         * trans(-topLeftExtentCorner), scale(1 / targetResolution), scale(1, -1)\n         * here before solving the linear system so [ui, vi] are pixel coordinates.\n         *\n         * Src points: xi, yi\n         * Dst points: ui, vi\n         * Affine coefficients: aij\n         *\n         * | x0 y0 1  0  0 0 |   |a00|   |u0|\n         * | x1 y1 1  0  0 0 |   |a01|   |u1|\n         * | x2 y2 1  0  0 0 | x |a02| = |u2|\n         * |  0  0 0 x0 y0 1 |   |a10|   |v0|\n         * |  0  0 0 x1 y1 1 |   |a11|   |v1|\n         * |  0  0 0 x2 y2 1 |   |a12|   |v2|\n         */\n        var source = triangle.source;\n        var target = triangle.target;\n        var x0 = source[0][0], y0 = source[0][1];\n        var x1 = source[1][0], y1 = source[1][1];\n        var x2 = source[2][0], y2 = source[2][1];\n        // Make sure that everything is on pixel boundaries\n        var u0 = pixelRound((target[0][0] - targetTopLeft[0]) / targetResolution);\n        var v0 = pixelRound(-(target[0][1] - targetTopLeft[1]) / targetResolution);\n        var u1 = pixelRound((target[1][0] - targetTopLeft[0]) / targetResolution);\n        var v1 = pixelRound(-(target[1][1] - targetTopLeft[1]) / targetResolution);\n        var u2 = pixelRound((target[2][0] - targetTopLeft[0]) / targetResolution);\n        var v2 = pixelRound(-(target[2][1] - targetTopLeft[1]) / targetResolution);\n        // Shift all the source points to improve numerical stability\n        // of all the subsequent calculations. The [x0, y0] is used here.\n        // This is also used to simplify the linear system.\n        var sourceNumericalShiftX = x0;\n        var sourceNumericalShiftY = y0;\n        x0 = 0;\n        y0 = 0;\n        x1 -= sourceNumericalShiftX;\n        y1 -= sourceNumericalShiftY;\n        x2 -= sourceNumericalShiftX;\n        y2 -= sourceNumericalShiftY;\n        var augmentedMatrix = [\n            [x1, y1, 0, 0, u1 - u0],\n            [x2, y2, 0, 0, u2 - u0],\n            [0, 0, x1, y1, v1 - v0],\n            [0, 0, x2, y2, v2 - v0],\n        ];\n        var affineCoefs = solveLinearSystem(augmentedMatrix);\n        if (!affineCoefs) {\n            return;\n        }\n        context.save();\n        context.beginPath();\n        if (isBrokenDiagonalRendering() || !opt_interpolate) {\n            // Make sure that all lines are horizontal or vertical\n            context.moveTo(u1, v1);\n            // This is the diagonal line. Do it in 4 steps\n            var steps = 4;\n            var ud = u0 - u1;\n            var vd = v0 - v1;\n            for (var step = 0; step < steps; step++) {\n                // Go horizontally\n                context.lineTo(u1 + pixelRound(((step + 1) * ud) / steps), v1 + pixelRound((step * vd) / (steps - 1)));\n                // Go vertically\n                if (step != steps - 1) {\n                    context.lineTo(u1 + pixelRound(((step + 1) * ud) / steps), v1 + pixelRound(((step + 1) * vd) / (steps - 1)));\n                }\n            }\n            // We are almost at u0r, v0r\n            context.lineTo(u2, v2);\n        }\n        else {\n            context.moveTo(u1, v1);\n            context.lineTo(u0, v0);\n            context.lineTo(u2, v2);\n        }\n        context.clip();\n        context.transform(affineCoefs[0], affineCoefs[2], affineCoefs[1], affineCoefs[3], u0, v0);\n        context.translate(sourceDataExtent[0] - sourceNumericalShiftX, sourceDataExtent[3] - sourceNumericalShiftY);\n        context.scale(sourceResolution / pixelRatio, -sourceResolution / pixelRatio);\n        context.drawImage(stitchContext.canvas, 0, 0);\n        context.restore();\n    });\n    if (opt_renderEdges) {\n        context.save();\n        context.globalCompositeOperation = 'source-over';\n        context.strokeStyle = 'black';\n        context.lineWidth = 1;\n        triangulation.getTriangles().forEach(function (triangle, i, arr) {\n            var target = triangle.target;\n            var u0 = (target[0][0] - targetTopLeft[0]) / targetResolution;\n            var v0 = -(target[0][1] - targetTopLeft[1]) / targetResolution;\n            var u1 = (target[1][0] - targetTopLeft[0]) / targetResolution;\n            var v1 = -(target[1][1] - targetTopLeft[1]) / targetResolution;\n            var u2 = (target[2][0] - targetTopLeft[0]) / targetResolution;\n            var v2 = -(target[2][1] - targetTopLeft[1]) / targetResolution;\n            context.beginPath();\n            context.moveTo(u1, v1);\n            context.lineTo(u0, v0);\n            context.lineTo(u2, v2);\n            context.closePath();\n            context.stroke();\n        });\n        context.restore();\n    }\n    return context.canvas;\n}\n//# sourceMappingURL=reproj.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/reproj/Tile\n */\nimport { ERROR_THRESHOLD } from './common.js';\nimport EventType from '../events/EventType.js';\nimport Tile from '../Tile.js';\nimport TileState from '../TileState.js';\nimport Triangulation from './Triangulation.js';\nimport { calculateSourceExtentResolution, render as renderReprojected, } from '../reproj.js';\nimport { clamp } from '../math.js';\nimport { getArea, getIntersection } from '../extent.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {function(number, number, number, number) : import(\"../Tile.js\").default} FunctionType\n */\n/**\n * @classdesc\n * Class encapsulating single reprojected tile.\n * See {@link module:ol/source/TileImage~TileImage}.\n *\n */\nvar ReprojTile = /** @class */ (function (_super) {\n    __extends(ReprojTile, _super);\n    /**\n     * @param {import(\"../proj/Projection.js\").default} sourceProj Source projection.\n     * @param {import(\"../tilegrid/TileGrid.js\").default} sourceTileGrid Source tile grid.\n     * @param {import(\"../proj/Projection.js\").default} targetProj Target projection.\n     * @param {import(\"../tilegrid/TileGrid.js\").default} targetTileGrid Target tile grid.\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Coordinate of the tile.\n     * @param {import(\"../tilecoord.js\").TileCoord} wrappedTileCoord Coordinate of the tile wrapped in X.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {number} gutter Gutter of the source tiles.\n     * @param {FunctionType} getTileFunction\n     *     Function returning source tiles (z, x, y, pixelRatio).\n     * @param {number} [opt_errorThreshold] Acceptable reprojection error (in px).\n     * @param {boolean} [opt_renderEdges] Render reprojection edges.\n     * @param {boolean} [opt_interpolate] Use linear interpolation when resampling.\n     */\n    function ReprojTile(sourceProj, sourceTileGrid, targetProj, targetTileGrid, tileCoord, wrappedTileCoord, pixelRatio, gutter, getTileFunction, opt_errorThreshold, opt_renderEdges, opt_interpolate) {\n        var _this = _super.call(this, tileCoord, TileState.IDLE, { interpolate: !!opt_interpolate }) || this;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderEdges_ = opt_renderEdges !== undefined ? opt_renderEdges : false;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.pixelRatio_ = pixelRatio;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.gutter_ = gutter;\n        /**\n         * @private\n         * @type {HTMLCanvasElement}\n         */\n        _this.canvas_ = null;\n        /**\n         * @private\n         * @type {import(\"../tilegrid/TileGrid.js\").default}\n         */\n        _this.sourceTileGrid_ = sourceTileGrid;\n        /**\n         * @private\n         * @type {import(\"../tilegrid/TileGrid.js\").default}\n         */\n        _this.targetTileGrid_ = targetTileGrid;\n        /**\n         * @private\n         * @type {import(\"../tilecoord.js\").TileCoord}\n         */\n        _this.wrappedTileCoord_ = wrappedTileCoord ? wrappedTileCoord : tileCoord;\n        /**\n         * @private\n         * @type {!Array<import(\"../Tile.js\").default>}\n         */\n        _this.sourceTiles_ = [];\n        /**\n         * @private\n         * @type {?Array<import(\"../events.js\").EventsKey>}\n         */\n        _this.sourcesListenerKeys_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.sourceZ_ = 0;\n        var targetExtent = targetTileGrid.getTileCoordExtent(_this.wrappedTileCoord_);\n        var maxTargetExtent = _this.targetTileGrid_.getExtent();\n        var maxSourceExtent = _this.sourceTileGrid_.getExtent();\n        var limitedTargetExtent = maxTargetExtent\n            ? getIntersection(targetExtent, maxTargetExtent)\n            : targetExtent;\n        if (getArea(limitedTargetExtent) === 0) {\n            // Tile is completely outside range -> EMPTY\n            // TODO: is it actually correct that the source even creates the tile ?\n            _this.state = TileState.EMPTY;\n            return _this;\n        }\n        var sourceProjExtent = sourceProj.getExtent();\n        if (sourceProjExtent) {\n            if (!maxSourceExtent) {\n                maxSourceExtent = sourceProjExtent;\n            }\n            else {\n                maxSourceExtent = getIntersection(maxSourceExtent, sourceProjExtent);\n            }\n        }\n        var targetResolution = targetTileGrid.getResolution(_this.wrappedTileCoord_[0]);\n        var sourceResolution = calculateSourceExtentResolution(sourceProj, targetProj, limitedTargetExtent, targetResolution);\n        if (!isFinite(sourceResolution) || sourceResolution <= 0) {\n            // invalid sourceResolution -> EMPTY\n            // probably edges of the projections when no extent is defined\n            _this.state = TileState.EMPTY;\n            return _this;\n        }\n        var errorThresholdInPixels = opt_errorThreshold !== undefined ? opt_errorThreshold : ERROR_THRESHOLD;\n        /**\n         * @private\n         * @type {!import(\"./Triangulation.js\").default}\n         */\n        _this.triangulation_ = new Triangulation(sourceProj, targetProj, limitedTargetExtent, maxSourceExtent, sourceResolution * errorThresholdInPixels, targetResolution);\n        if (_this.triangulation_.getTriangles().length === 0) {\n            // no valid triangles -> EMPTY\n            _this.state = TileState.EMPTY;\n            return _this;\n        }\n        _this.sourceZ_ = sourceTileGrid.getZForResolution(sourceResolution);\n        var sourceExtent = _this.triangulation_.calculateSourceExtent();\n        if (maxSourceExtent) {\n            if (sourceProj.canWrapX()) {\n                sourceExtent[1] = clamp(sourceExtent[1], maxSourceExtent[1], maxSourceExtent[3]);\n                sourceExtent[3] = clamp(sourceExtent[3], maxSourceExtent[1], maxSourceExtent[3]);\n            }\n            else {\n                sourceExtent = getIntersection(sourceExtent, maxSourceExtent);\n            }\n        }\n        if (!getArea(sourceExtent)) {\n            _this.state = TileState.EMPTY;\n        }\n        else {\n            var sourceRange = sourceTileGrid.getTileRangeForExtentAndZ(sourceExtent, _this.sourceZ_);\n            for (var srcX = sourceRange.minX; srcX <= sourceRange.maxX; srcX++) {\n                for (var srcY = sourceRange.minY; srcY <= sourceRange.maxY; srcY++) {\n                    var tile = getTileFunction(_this.sourceZ_, srcX, srcY, pixelRatio);\n                    if (tile) {\n                        _this.sourceTiles_.push(tile);\n                    }\n                }\n            }\n            if (_this.sourceTiles_.length === 0) {\n                _this.state = TileState.EMPTY;\n            }\n        }\n        return _this;\n    }\n    /**\n     * Get the HTML Canvas element for this tile.\n     * @return {HTMLCanvasElement} Canvas.\n     */\n    ReprojTile.prototype.getImage = function () {\n        return this.canvas_;\n    };\n    /**\n     * @private\n     */\n    ReprojTile.prototype.reproject_ = function () {\n        var sources = [];\n        this.sourceTiles_.forEach(function (tile, i, arr) {\n            if (tile && tile.getState() == TileState.LOADED) {\n                sources.push({\n                    extent: this.sourceTileGrid_.getTileCoordExtent(tile.tileCoord),\n                    image: tile.getImage(),\n                });\n            }\n        }.bind(this));\n        this.sourceTiles_.length = 0;\n        if (sources.length === 0) {\n            this.state = TileState.ERROR;\n        }\n        else {\n            var z = this.wrappedTileCoord_[0];\n            var size = this.targetTileGrid_.getTileSize(z);\n            var width = typeof size === 'number' ? size : size[0];\n            var height = typeof size === 'number' ? size : size[1];\n            var targetResolution = this.targetTileGrid_.getResolution(z);\n            var sourceResolution = this.sourceTileGrid_.getResolution(this.sourceZ_);\n            var targetExtent = this.targetTileGrid_.getTileCoordExtent(this.wrappedTileCoord_);\n            this.canvas_ = renderReprojected(width, height, this.pixelRatio_, sourceResolution, this.sourceTileGrid_.getExtent(), targetResolution, targetExtent, this.triangulation_, sources, this.gutter_, this.renderEdges_, this.interpolate);\n            this.state = TileState.LOADED;\n        }\n        this.changed();\n    };\n    /**\n     * Load not yet loaded URI.\n     */\n    ReprojTile.prototype.load = function () {\n        if (this.state == TileState.IDLE) {\n            this.state = TileState.LOADING;\n            this.changed();\n            var leftToLoad_1 = 0;\n            this.sourcesListenerKeys_ = [];\n            this.sourceTiles_.forEach(function (tile, i, arr) {\n                var state = tile.getState();\n                if (state == TileState.IDLE || state == TileState.LOADING) {\n                    leftToLoad_1++;\n                    var sourceListenKey_1 = listen(tile, EventType.CHANGE, function (e) {\n                        var state = tile.getState();\n                        if (state == TileState.LOADED ||\n                            state == TileState.ERROR ||\n                            state == TileState.EMPTY) {\n                            unlistenByKey(sourceListenKey_1);\n                            leftToLoad_1--;\n                            if (leftToLoad_1 === 0) {\n                                this.unlistenSources_();\n                                this.reproject_();\n                            }\n                        }\n                    }, this);\n                    this.sourcesListenerKeys_.push(sourceListenKey_1);\n                }\n            }.bind(this));\n            if (leftToLoad_1 === 0) {\n                setTimeout(this.reproject_.bind(this), 0);\n            }\n            else {\n                this.sourceTiles_.forEach(function (tile, i, arr) {\n                    var state = tile.getState();\n                    if (state == TileState.IDLE) {\n                        tile.load();\n                    }\n                });\n            }\n        }\n    };\n    /**\n     * @private\n     */\n    ReprojTile.prototype.unlistenSources_ = function () {\n        this.sourcesListenerKeys_.forEach(unlistenByKey);\n        this.sourcesListenerKeys_ = null;\n    };\n    return ReprojTile;\n}(Tile));\nexport default ReprojTile;\n//# sourceMappingURL=Tile.js.map","/**\n * @module ol/reproj/common\n */\n/**\n * Default maximum allowed threshold  (in pixels) for reprojection\n * triangulation.\n * @type {number}\n */\nexport var ERROR_THRESHOLD = 0.5;\n/**\n * Enable automatic reprojection of raster sources. Default is `true`.\n * TODO: decide if we want to expose this as a build flag or remove it\n * @type {boolean}\n */\nexport var ENABLE_RASTER_REPROJECTION = true;\n//# sourceMappingURL=common.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/source/TileImage\n */\nimport EventType from '../events/EventType.js';\nimport ImageTile from '../ImageTile.js';\nimport ReprojTile from '../reproj/Tile.js';\nimport TileCache from '../TileCache.js';\nimport TileState from '../TileState.js';\nimport UrlTile from './UrlTile.js';\nimport { ENABLE_RASTER_REPROJECTION } from '../reproj/common.js';\nimport { equivalent, get as getProjection } from '../proj.js';\nimport { getKey, getKeyZXY } from '../tilecoord.js';\nimport { getForProjection as getTileGridForProjection } from '../tilegrid.js';\nimport { getUid } from '../util.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least the number of tiles in the viewport.\n * @property {null|string} [crossOrigin] The `crossOrigin` attribute for loaded images.  Note that\n * you must provide a `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {boolean} [opaque=false] Whether the layer is opaque.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection. Default is the view projection.\n * @property {number} [reprojectionErrorThreshold=0.5] Maximum allowed reprojection error (in pixels).\n * Higher values can increase reprojection performance, but decrease precision.\n * @property {import(\"./State.js\").default} [state] Source state.\n * @property {typeof import(\"../ImageTile.js\").default} [tileClass] Class used to instantiate image tiles.\n * Default is {@link module:ol/ImageTile~ImageTile}.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] Tile grid.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction] Optional function to load a tile given a URL. The default is\n * ```js\n * function(imageTile, src) {\n *   imageTile.getImage().src = src;\n * };\n * ```\n * @property {number} [tilePixelRatio=1] The pixel ratio used by the tile service. For example, if the tile\n * service advertizes 256px by 256px tiles but actually sends 512px\n * by 512px images (for retina/hidpi devices) then `tilePixelRatio`\n * should be set to `2`.\n * @property {import(\"../Tile.js\").UrlFunction} [tileUrlFunction] Optional function to get tile URL given a tile coordinate and the projection.\n * @property {string} [url] URL template. Must include `{x}`, `{y}` or `{-y}`, and `{z}` placeholders.\n * A `{?-?}` template pattern, for example `subdomain{a-f}.domain.com`, may be\n * used instead of defining each one separately in the `urls` option.\n * @property {Array<string>} [urls] An array of URL templates.\n * @property {boolean} [wrapX] Whether to wrap the world horizontally. The default, is to\n * request out-of-bounds tiles from the server. When set to `false`, only one\n * world will be rendered. When set to `true`, tiles will be requested for one\n * world only, but they will be wrapped horizontally to render multiple worlds.\n * @property {number} [transition] Duration of the opacity transition for rendering.\n * To disable the opacity transition, pass `transition: 0`.\n * @property {string} [key] Optional tile key for proper cache fetching\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @classdesc\n * Base class for sources providing images divided into a tile grid.\n *\n * @fires import(\"./Tile.js\").TileSourceEvent\n * @api\n */\nvar TileImage = /** @class */ (function (_super) {\n    __extends(TileImage, _super);\n    /**\n     * @param {!Options} options Image tile options.\n     */\n    function TileImage(options) {\n        var _this = this;\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            cacheSize: options.cacheSize,\n            opaque: options.opaque,\n            projection: options.projection,\n            state: options.state,\n            tileGrid: options.tileGrid,\n            tileLoadFunction: options.tileLoadFunction\n                ? options.tileLoadFunction\n                : defaultTileLoadFunction,\n            tilePixelRatio: options.tilePixelRatio,\n            tileUrlFunction: options.tileUrlFunction,\n            url: options.url,\n            urls: options.urls,\n            wrapX: options.wrapX,\n            transition: options.transition,\n            interpolate: interpolate,\n            key: options.key,\n            attributionsCollapsible: options.attributionsCollapsible,\n            zDirection: options.zDirection,\n        }) || this;\n        /**\n         * @protected\n         * @type {?string}\n         */\n        _this.crossOrigin =\n            options.crossOrigin !== undefined ? options.crossOrigin : null;\n        /**\n         * @protected\n         * @type {typeof ImageTile}\n         */\n        _this.tileClass =\n            options.tileClass !== undefined ? options.tileClass : ImageTile;\n        /**\n         * @protected\n         * @type {!Object<string, TileCache>}\n         */\n        _this.tileCacheForProjection = {};\n        /**\n         * @protected\n         * @type {!Object<string, import(\"../tilegrid/TileGrid.js\").default>}\n         */\n        _this.tileGridForProjection = {};\n        /**\n         * @private\n         * @type {number|undefined}\n         */\n        _this.reprojectionErrorThreshold_ = options.reprojectionErrorThreshold;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.renderReprojectionEdges_ = false;\n        return _this;\n    }\n    /**\n     * @return {boolean} Can expire cache.\n     */\n    TileImage.prototype.canExpireCache = function () {\n        if (!ENABLE_RASTER_REPROJECTION) {\n            return _super.prototype.canExpireCache.call(this);\n        }\n        if (this.tileCache.canExpireCache()) {\n            return true;\n        }\n        else {\n            for (var key in this.tileCacheForProjection) {\n                if (this.tileCacheForProjection[key].canExpireCache()) {\n                    return true;\n                }\n            }\n        }\n        return false;\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {!Object<string, boolean>} usedTiles Used tiles.\n     */\n    TileImage.prototype.expireCache = function (projection, usedTiles) {\n        if (!ENABLE_RASTER_REPROJECTION) {\n            _super.prototype.expireCache.call(this, projection, usedTiles);\n            return;\n        }\n        var usedTileCache = this.getTileCacheForProjection(projection);\n        this.tileCache.expireCache(this.tileCache == usedTileCache ? usedTiles : {});\n        for (var id in this.tileCacheForProjection) {\n            var tileCache = this.tileCacheForProjection[id];\n            tileCache.expireCache(tileCache == usedTileCache ? usedTiles : {});\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {number} Gutter.\n     */\n    TileImage.prototype.getGutterForProjection = function (projection) {\n        if (ENABLE_RASTER_REPROJECTION &&\n            this.getProjection() &&\n            projection &&\n            !equivalent(this.getProjection(), projection)) {\n            return 0;\n        }\n        else {\n            return this.getGutter();\n        }\n    };\n    /**\n     * @return {number} Gutter.\n     */\n    TileImage.prototype.getGutter = function () {\n        return 0;\n    };\n    /**\n     * Return the key to be used for all tiles in the source.\n     * @return {string} The key for all tiles.\n     */\n    TileImage.prototype.getKey = function () {\n        var key = _super.prototype.getKey.call(this);\n        if (!this.getInterpolate()) {\n            key += ':disable-interpolation';\n        }\n        return key;\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {boolean} Opaque.\n     */\n    TileImage.prototype.getOpaque = function (projection) {\n        if (ENABLE_RASTER_REPROJECTION &&\n            this.getProjection() &&\n            projection &&\n            !equivalent(this.getProjection(), projection)) {\n            return false;\n        }\n        else {\n            return _super.prototype.getOpaque.call(this, projection);\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!import(\"../tilegrid/TileGrid.js\").default} Tile grid.\n     */\n    TileImage.prototype.getTileGridForProjection = function (projection) {\n        if (!ENABLE_RASTER_REPROJECTION) {\n            return _super.prototype.getTileGridForProjection.call(this, projection);\n        }\n        var thisProj = this.getProjection();\n        if (this.tileGrid && (!thisProj || equivalent(thisProj, projection))) {\n            return this.tileGrid;\n        }\n        else {\n            var projKey = getUid(projection);\n            if (!(projKey in this.tileGridForProjection)) {\n                this.tileGridForProjection[projKey] =\n                    getTileGridForProjection(projection);\n            }\n            return this.tileGridForProjection[projKey];\n        }\n    };\n    /**\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../TileCache.js\").default} Tile cache.\n     */\n    TileImage.prototype.getTileCacheForProjection = function (projection) {\n        if (!ENABLE_RASTER_REPROJECTION) {\n            return _super.prototype.getTileCacheForProjection.call(this, projection);\n        }\n        var thisProj = this.getProjection();\n        if (!thisProj || equivalent(thisProj, projection)) {\n            return this.tileCache;\n        }\n        else {\n            var projKey = getUid(projection);\n            if (!(projKey in this.tileCacheForProjection)) {\n                this.tileCacheForProjection[projKey] = new TileCache(this.tileCache.highWaterMark);\n            }\n            return this.tileCacheForProjection[projKey];\n        }\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {string} key The key set on the tile.\n     * @return {!ImageTile} Tile.\n     * @private\n     */\n    TileImage.prototype.createTile_ = function (z, x, y, pixelRatio, projection, key) {\n        var tileCoord = [z, x, y];\n        var urlTileCoord = this.getTileCoordForTileUrlFunction(tileCoord, projection);\n        var tileUrl = urlTileCoord\n            ? this.tileUrlFunction(urlTileCoord, pixelRatio, projection)\n            : undefined;\n        var tile = new this.tileClass(tileCoord, tileUrl !== undefined ? TileState.IDLE : TileState.EMPTY, tileUrl !== undefined ? tileUrl : '', this.crossOrigin, this.tileLoadFunction, this.tileOptions);\n        tile.key = key;\n        tile.addEventListener(EventType.CHANGE, this.handleTileChange.bind(this));\n        return tile;\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!(ImageTile|ReprojTile)} Tile.\n     */\n    TileImage.prototype.getTile = function (z, x, y, pixelRatio, projection) {\n        var sourceProjection = this.getProjection();\n        if (!ENABLE_RASTER_REPROJECTION ||\n            !sourceProjection ||\n            !projection ||\n            equivalent(sourceProjection, projection)) {\n            return this.getTileInternal(z, x, y, pixelRatio, sourceProjection || projection);\n        }\n        else {\n            var cache = this.getTileCacheForProjection(projection);\n            var tileCoord = [z, x, y];\n            var tile = void 0;\n            var tileCoordKey = getKey(tileCoord);\n            if (cache.containsKey(tileCoordKey)) {\n                tile = cache.get(tileCoordKey);\n            }\n            var key = this.getKey();\n            if (tile && tile.key == key) {\n                return tile;\n            }\n            else {\n                var sourceTileGrid = this.getTileGridForProjection(sourceProjection);\n                var targetTileGrid = this.getTileGridForProjection(projection);\n                var wrappedTileCoord = this.getTileCoordForTileUrlFunction(tileCoord, projection);\n                var newTile = new ReprojTile(sourceProjection, sourceTileGrid, projection, targetTileGrid, tileCoord, wrappedTileCoord, this.getTilePixelRatio(pixelRatio), this.getGutter(), function (z, x, y, pixelRatio) {\n                    return this.getTileInternal(z, x, y, pixelRatio, sourceProjection);\n                }.bind(this), this.reprojectionErrorThreshold_, this.renderReprojectionEdges_, this.getInterpolate());\n                newTile.key = key;\n                if (tile) {\n                    newTile.interimTile = tile;\n                    newTile.refreshInterimChain();\n                    cache.replace(tileCoordKey, newTile);\n                }\n                else {\n                    cache.set(tileCoordKey, newTile);\n                }\n                return newTile;\n            }\n        }\n    };\n    /**\n     * @param {number} z Tile coordinate z.\n     * @param {number} x Tile coordinate x.\n     * @param {number} y Tile coordinate y.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {!import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {!(ImageTile|ReprojTile)} Tile.\n     * @protected\n     */\n    TileImage.prototype.getTileInternal = function (z, x, y, pixelRatio, projection) {\n        var tile = null;\n        var tileCoordKey = getKeyZXY(z, x, y);\n        var key = this.getKey();\n        if (!this.tileCache.containsKey(tileCoordKey)) {\n            tile = this.createTile_(z, x, y, pixelRatio, projection, key);\n            this.tileCache.set(tileCoordKey, tile);\n        }\n        else {\n            tile = this.tileCache.get(tileCoordKey);\n            if (tile.key != key) {\n                // The source's params changed. If the tile has an interim tile and if we\n                // can use it then we use it. Otherwise we create a new tile.  In both\n                // cases we attempt to assign an interim tile to the new tile.\n                var interimTile = tile;\n                tile = this.createTile_(z, x, y, pixelRatio, projection, key);\n                //make the new tile the head of the list,\n                if (interimTile.getState() == TileState.IDLE) {\n                    //the old tile hasn't begun loading yet, and is now outdated, so we can simply discard it\n                    tile.interimTile = interimTile.interimTile;\n                }\n                else {\n                    tile.interimTile = interimTile;\n                }\n                tile.refreshInterimChain();\n                this.tileCache.replace(tileCoordKey, tile);\n            }\n        }\n        return tile;\n    };\n    /**\n     * Sets whether to render reprojection edges or not (usually for debugging).\n     * @param {boolean} render Render the edges.\n     * @api\n     */\n    TileImage.prototype.setRenderReprojectionEdges = function (render) {\n        if (!ENABLE_RASTER_REPROJECTION ||\n            this.renderReprojectionEdges_ == render) {\n            return;\n        }\n        this.renderReprojectionEdges_ = render;\n        for (var id in this.tileCacheForProjection) {\n            this.tileCacheForProjection[id].clear();\n        }\n        this.changed();\n    };\n    /**\n     * Sets the tile grid to use when reprojecting the tiles to the given\n     * projection instead of the default tile grid for the projection.\n     *\n     * This can be useful when the default tile grid cannot be created\n     * (e.g. projection has no extent defined) or\n     * for optimization reasons (custom tile size, resolutions, ...).\n     *\n     * @param {import(\"../proj.js\").ProjectionLike} projection Projection.\n     * @param {import(\"../tilegrid/TileGrid.js\").default} tilegrid Tile grid to use for the projection.\n     * @api\n     */\n    TileImage.prototype.setTileGridForProjection = function (projection, tilegrid) {\n        if (ENABLE_RASTER_REPROJECTION) {\n            var proj = getProjection(projection);\n            if (proj) {\n                var projKey = getUid(proj);\n                if (!(projKey in this.tileGridForProjection)) {\n                    this.tileGridForProjection[projKey] = tilegrid;\n                }\n            }\n        }\n    };\n    return TileImage;\n}(UrlTile));\n/**\n * @param {ImageTile} imageTile Image tile.\n * @param {string} src Source.\n */\nfunction defaultTileLoadFunction(imageTile, src) {\n    /** @type {HTMLImageElement|HTMLVideoElement} */ (imageTile.getImage()).src =\n        src;\n}\nexport default TileImage;\n//# sourceMappingURL=TileImage.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/net\n */\nimport { getUid } from './util.js';\n/**\n * Simple JSONP helper. Supports error callbacks and a custom callback param.\n * The error callback will be called when no JSONP is executed after 10 seconds.\n *\n * @param {string} url Request url. A 'callback' query parameter will be\n *     appended.\n * @param {Function} callback Callback on success.\n * @param {Function} [opt_errback] Callback on error.\n * @param {string} [opt_callbackParam] Custom query parameter for the JSONP\n *     callback. Default is 'callback'.\n */\nexport function jsonp(url, callback, opt_errback, opt_callbackParam) {\n    var script = document.createElement('script');\n    var key = 'olc_' + getUid(callback);\n    function cleanup() {\n        delete window[key];\n        script.parentNode.removeChild(script);\n    }\n    script.async = true;\n    script.src =\n        url +\n            (url.indexOf('?') == -1 ? '?' : '&') +\n            (opt_callbackParam || 'callback') +\n            '=' +\n            key;\n    var timer = setTimeout(function () {\n        cleanup();\n        if (opt_errback) {\n            opt_errback();\n        }\n    }, 10000);\n    window[key] = function (data) {\n        clearTimeout(timer);\n        cleanup();\n        callback(data);\n    };\n    document.getElementsByTagName('head')[0].appendChild(script);\n}\nvar ResponseError = /** @class */ (function (_super) {\n    __extends(ResponseError, _super);\n    /**\n     * @param {XMLHttpRequest} response The XHR object.\n     */\n    function ResponseError(response) {\n        var _this = this;\n        var message = 'Unexpected response status: ' + response.status;\n        _this = _super.call(this, message) || this;\n        /**\n         * @type {string}\n         */\n        _this.name = 'ResponseError';\n        /**\n         * @type {XMLHttpRequest}\n         */\n        _this.response = response;\n        return _this;\n    }\n    return ResponseError;\n}(Error));\nexport { ResponseError };\nvar ClientError = /** @class */ (function (_super) {\n    __extends(ClientError, _super);\n    /**\n     * @param {XMLHttpRequest} client The XHR object.\n     */\n    function ClientError(client) {\n        var _this = _super.call(this, 'Failed to issue request') || this;\n        /**\n         * @type {string}\n         */\n        _this.name = 'ClientError';\n        /**\n         * @type {XMLHttpRequest}\n         */\n        _this.client = client;\n        return _this;\n    }\n    return ClientError;\n}(Error));\nexport { ClientError };\n/**\n * @param {string} url The URL.\n * @return {Promise<Object>} A promise that resolves to the JSON response.\n */\nexport function getJSON(url) {\n    return new Promise(function (resolve, reject) {\n        /**\n         * @param {ProgressEvent<XMLHttpRequest>} event The load event.\n         */\n        function onLoad(event) {\n            var client = event.target;\n            // status will be 0 for file:// urls\n            if (!client.status || (client.status >= 200 && client.status < 300)) {\n                var data = void 0;\n                try {\n                    data = JSON.parse(client.responseText);\n                }\n                catch (err) {\n                    var message = 'Error parsing response text as JSON: ' + err.message;\n                    reject(new Error(message));\n                    return;\n                }\n                resolve(data);\n                return;\n            }\n            reject(new ResponseError(client));\n        }\n        /**\n         * @param {ProgressEvent<XMLHttpRequest>} event The error event.\n         */\n        function onError(event) {\n            reject(new ClientError(event.target));\n        }\n        var client = new XMLHttpRequest();\n        client.addEventListener('load', onLoad);\n        client.addEventListener('error', onError);\n        client.open('GET', url);\n        client.setRequestHeader('Accept', 'application/json');\n        client.send();\n    });\n}\n/**\n * @param {string} base The base URL.\n * @param {string} url The potentially relative URL.\n * @return {string} The full URL.\n */\nexport function resolveUrl(base, url) {\n    if (url.indexOf('://') >= 0) {\n        return url;\n    }\n    return new URL(url, base).href;\n}\nvar originalXHR;\nexport function overrideXHR(xhr) {\n    if (typeof XMLHttpRequest !== 'undefined') {\n        originalXHR = XMLHttpRequest;\n    }\n    global.XMLHttpRequest = xhr;\n}\nexport function restoreXHR() {\n    global.XMLHttpRequest = originalXHR;\n}\n//# sourceMappingURL=net.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/BaseTile\n */\nimport Layer from './Layer.js';\nimport TileProperty from './TileProperty.js';\nimport { assign } from '../obj.js';\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"./Base\").BaseLayerObjectEventTypes|\n *     'change:source'|'change:preload'|'change:useInterimTilesOnError', import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../render/EventType\").LayerRenderEventTypes, import(\"../render/Event\").default, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"./Base\").BaseLayerObjectEventTypes|\n *   'change:source'|'change:preload'|'change:useInterimTilesOnError'|import(\"../render/EventType\").LayerRenderEventTypes, Return>} BaseTileLayerOnSignature\n */\n/**\n * @template {import(\"../source/Tile.js\").default} TileSourceType\n * @typedef {Object} Options\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {number} [preload=0] Preload. Load low-resolution tiles up to `preload` levels. `0`\n * means no preloading.\n * @property {TileSourceType} [source] Source for this layer.\n * @property {import(\"../PluggableMap.js\").default} [map] Sets the layer as overlay on a map. The map will not manage\n * this layer in its layers collection, and the layer will be rendered on top. This is useful for\n * temporary layers. The standard way to add a layer to a map and have it managed by the map is to\n * use {@link import(\"../PluggableMap.js\").default#addLayer map.addLayer()}.\n * @property {boolean} [useInterimTilesOnError=true] Use interim tiles on error.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @classdesc\n * For layer sources that provide pre-rendered, tiled images in grids that are\n * organized by zoom levels for specific resolutions.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Tile.js\").default} TileSourceType\n * @template {import(\"../renderer/Layer.js\").default} RendererType\n * @extends {Layer<TileSourceType, RendererType>}\n * @api\n */\nvar BaseTileLayer = /** @class */ (function (_super) {\n    __extends(BaseTileLayer, _super);\n    /**\n     * @param {Options<TileSourceType>} [opt_options] Tile layer options.\n     */\n    function BaseTileLayer(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var baseOptions = assign({}, options);\n        delete baseOptions.preload;\n        delete baseOptions.useInterimTilesOnError;\n        _this = _super.call(this, baseOptions) || this;\n        /***\n         * @type {BaseTileLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {BaseTileLayerOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {BaseTileLayerOnSignature<void>}\n         */\n        _this.un;\n        _this.setPreload(options.preload !== undefined ? options.preload : 0);\n        _this.setUseInterimTilesOnError(options.useInterimTilesOnError !== undefined\n            ? options.useInterimTilesOnError\n            : true);\n        return _this;\n    }\n    /**\n     * Return the level as number to which we will preload tiles up to.\n     * @return {number} The level to preload tiles up to.\n     * @observable\n     * @api\n     */\n    BaseTileLayer.prototype.getPreload = function () {\n        return /** @type {number} */ (this.get(TileProperty.PRELOAD));\n    };\n    /**\n     * Set the level as number to which we will preload tiles up to.\n     * @param {number} preload The level to preload tiles up to.\n     * @observable\n     * @api\n     */\n    BaseTileLayer.prototype.setPreload = function (preload) {\n        this.set(TileProperty.PRELOAD, preload);\n    };\n    /**\n     * Whether we use interim tiles on error.\n     * @return {boolean} Use interim tiles on error.\n     * @observable\n     * @api\n     */\n    BaseTileLayer.prototype.getUseInterimTilesOnError = function () {\n        return /** @type {boolean} */ (this.get(TileProperty.USE_INTERIM_TILES_ON_ERROR));\n    };\n    /**\n     * Set whether we use interim tiles on error.\n     * @param {boolean} useInterimTilesOnError Use interim tiles on error.\n     * @observable\n     * @api\n     */\n    BaseTileLayer.prototype.setUseInterimTilesOnError = function (useInterimTilesOnError) {\n        this.set(TileProperty.USE_INTERIM_TILES_ON_ERROR, useInterimTilesOnError);\n    };\n    return BaseTileLayer;\n}(Layer));\nexport default BaseTileLayer;\n//# sourceMappingURL=BaseTile.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/Tile\n */\nimport BaseTileLayer from './BaseTile.js';\nimport CanvasTileLayerRenderer from '../renderer/canvas/TileLayer.js';\n/**\n * @classdesc\n * For layer sources that provide pre-rendered, tiled images in grids that are\n * organized by zoom levels for specific resolutions.\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Tile.js\").default} TileSourceType\n * @extends BaseTileLayer<TileSourceType, CanvasTileLayerRenderer>\n * @api\n */\nvar TileLayer = /** @class */ (function (_super) {\n    __extends(TileLayer, _super);\n    /**\n     * @param {import(\"./BaseTile.js\").Options<TileSourceType>} [opt_options] Tile layer options.\n     */\n    function TileLayer(opt_options) {\n        return _super.call(this, opt_options) || this;\n    }\n    TileLayer.prototype.createRenderer = function () {\n        return new CanvasTileLayerRenderer(this);\n    };\n    return TileLayer;\n}(BaseTileLayer));\nexport default TileLayer;\n//# sourceMappingURL=Tile.js.map","/**\n * @module ol/webgl/PaletteTexture\n */\nvar PaletteTexture = /** @class */ (function () {\n    /**\n     * @param {string} name The name of the texture.\n     * @param {Uint8Array} data The texture data.\n     */\n    function PaletteTexture(name, data) {\n        this.name = name;\n        this.data = data;\n        /**\n         * @type {WebGLTexture}\n         * @private\n         */\n        this.texture_ = null;\n    }\n    /**\n     * @param {WebGLRenderingContext} gl Rendering context.\n     * @return {WebGLTexture} The texture.\n     */\n    PaletteTexture.prototype.getTexture = function (gl) {\n        if (!this.texture_) {\n            var texture = gl.createTexture();\n            gl.bindTexture(gl.TEXTURE_2D, texture);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n            gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n            gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, this.data.length / 4, 1, 0, gl.RGBA, gl.UNSIGNED_BYTE, this.data);\n            this.texture_ = texture;\n        }\n        return this.texture_;\n    };\n    return PaletteTexture;\n}());\nexport default PaletteTexture;\n//# sourceMappingURL=PaletteTexture.js.map","/**\n * @module ol/webgl/TileTexture\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport EventTarget from '../events/Target.js';\nimport EventType from '../events/EventType.js';\nimport ImageTile from '../ImageTile.js';\nimport ReprojTile from '../reproj/Tile.js';\nimport TileState from '../TileState.js';\nimport WebGLArrayBuffer from './Buffer.js';\nimport { ARRAY_BUFFER, STATIC_DRAW } from '../webgl.js';\nimport { toSize } from '../size.js';\n/**\n * @param {WebGLRenderingContext} gl The WebGL context.\n * @param {WebGLTexture} texture The texture.\n * @param {boolean} interpolate Interpolate when resampling.\n */\nfunction bindAndConfigure(gl, texture, interpolate) {\n    var resampleFilter = interpolate ? gl.LINEAR : gl.NEAREST;\n    gl.bindTexture(gl.TEXTURE_2D, texture);\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, resampleFilter);\n    gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, resampleFilter);\n}\n/**\n * @param {WebGLRenderingContext} gl The WebGL context.\n * @param {WebGLTexture} texture The texture.\n * @param {HTMLImageElement|HTMLCanvasElement|HTMLVideoElement} image The image.\n * @param {boolean} interpolate Interpolate when resampling.\n */\nfunction uploadImageTexture(gl, texture, image, interpolate) {\n    bindAndConfigure(gl, texture, interpolate);\n    gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n}\n/**\n * @param {import(\"./Helper.js\").default} helper The WebGL helper.\n * @param {WebGLTexture} texture The texture.\n * @param {import(\"../DataTile.js\").Data} data The pixel data.\n * @param {import(\"../size.js\").Size} size The pixel size.\n * @param {number} bandCount The band count.\n * @param {boolean} interpolate Interpolate when resampling.\n */\nfunction uploadDataTexture(helper, texture, data, size, bandCount, interpolate) {\n    var gl = helper.getGL();\n    bindAndConfigure(gl, texture, interpolate);\n    var bytesPerRow = data.byteLength / size[1];\n    var unpackAlignment = 1;\n    if (bytesPerRow % 8 === 0) {\n        unpackAlignment = 8;\n    }\n    else if (bytesPerRow % 4 === 0) {\n        unpackAlignment = 4;\n    }\n    else if (bytesPerRow % 2 === 0) {\n        unpackAlignment = 2;\n    }\n    var format;\n    switch (bandCount) {\n        case 1: {\n            format = gl.LUMINANCE;\n            break;\n        }\n        case 2: {\n            format = gl.LUMINANCE_ALPHA;\n            break;\n        }\n        case 3: {\n            format = gl.RGB;\n            break;\n        }\n        case 4: {\n            format = gl.RGBA;\n            break;\n        }\n        default: {\n            throw new Error(\"Unsupported number of bands: \" + bandCount);\n        }\n    }\n    var textureType;\n    if (data instanceof Float32Array) {\n        textureType = gl.FLOAT;\n        helper.getExtension('OES_texture_float');\n        helper.getExtension('OES_texture_float_linear');\n    }\n    else {\n        textureType = gl.UNSIGNED_BYTE;\n    }\n    var oldUnpackAlignment = gl.getParameter(gl.UNPACK_ALIGNMENT);\n    gl.pixelStorei(gl.UNPACK_ALIGNMENT, unpackAlignment);\n    gl.texImage2D(gl.TEXTURE_2D, 0, format, size[0], size[1], 0, format, textureType, data);\n    gl.pixelStorei(gl.UNPACK_ALIGNMENT, oldUnpackAlignment);\n}\n/**\n * @typedef {import(\"../DataTile.js\").default|ImageTile|ReprojTile} TileType\n */\nvar TileTexture = /** @class */ (function (_super) {\n    __extends(TileTexture, _super);\n    /**\n     * @param {TileType} tile The tile.\n     * @param {import(\"../tilegrid/TileGrid.js\").default} grid Tile grid.\n     * @param {import(\"../webgl/Helper.js\").default} helper WebGL helper.\n     */\n    function TileTexture(tile, grid, helper) {\n        var _this = _super.call(this) || this;\n        /**\n         * @type {TileType}\n         */\n        _this.tile;\n        /**\n         * @type {Array<WebGLTexture>}\n         */\n        _this.textures = [];\n        _this.handleTileChange_ = _this.handleTileChange_.bind(_this);\n        _this.size = toSize(grid.getTileSize(tile.tileCoord[0]));\n        _this.bandCount = NaN;\n        _this.helper_ = helper;\n        var coords = new WebGLArrayBuffer(ARRAY_BUFFER, STATIC_DRAW);\n        coords.fromArray([\n            0,\n            1,\n            1,\n            1,\n            1,\n            0,\n            0,\n            0,\n        ]);\n        helper.flushBufferData(coords);\n        _this.coords = coords;\n        _this.setTile(tile);\n        return _this;\n    }\n    /**\n     * @param {TileType} tile Tile.\n     */\n    TileTexture.prototype.setTile = function (tile) {\n        if (tile !== this.tile) {\n            if (this.tile) {\n                this.tile.removeEventListener(EventType.CHANGE, this.handleTileChange_);\n            }\n            this.tile = tile;\n            this.textures.length = 0;\n            this.loaded = tile.getState() === TileState.LOADED;\n            if (this.loaded) {\n                this.uploadTile_();\n            }\n            else {\n                tile.addEventListener(EventType.CHANGE, this.handleTileChange_);\n            }\n        }\n    };\n    TileTexture.prototype.uploadTile_ = function () {\n        var helper = this.helper_;\n        var gl = helper.getGL();\n        var tile = this.tile;\n        if (tile instanceof ImageTile || tile instanceof ReprojTile) {\n            var texture = gl.createTexture();\n            this.textures.push(texture);\n            this.bandCount = 4;\n            uploadImageTexture(gl, texture, tile.getImage(), tile.interpolate);\n            return;\n        }\n        var data = tile.getData();\n        var isFloat = data instanceof Float32Array;\n        var pixelCount = this.size[0] * this.size[1];\n        var DataType = isFloat ? Float32Array : Uint8Array;\n        var bytesPerElement = DataType.BYTES_PER_ELEMENT;\n        var bytesPerRow = data.byteLength / this.size[1];\n        this.bandCount = Math.floor(bytesPerRow / bytesPerElement / this.size[0]);\n        var textureCount = Math.ceil(this.bandCount / 4);\n        if (textureCount === 1) {\n            var texture = gl.createTexture();\n            this.textures.push(texture);\n            uploadDataTexture(helper, texture, data, this.size, this.bandCount, tile.interpolate);\n            return;\n        }\n        var textureDataArrays = new Array(textureCount);\n        for (var textureIndex = 0; textureIndex < textureCount; ++textureIndex) {\n            var texture = gl.createTexture();\n            this.textures.push(texture);\n            var bandCount = textureIndex < textureCount - 1 ? 4 : this.bandCount % 4;\n            textureDataArrays[textureIndex] = new DataType(pixelCount * bandCount);\n        }\n        var dataIndex = 0;\n        var rowOffset = 0;\n        var colCount = this.size[0] * this.bandCount;\n        for (var rowIndex = 0; rowIndex < this.size[1]; ++rowIndex) {\n            for (var colIndex = 0; colIndex < colCount; ++colIndex) {\n                var dataValue = data[rowOffset + colIndex];\n                var pixelIndex = Math.floor(dataIndex / this.bandCount);\n                var bandIndex = colIndex % this.bandCount;\n                var textureIndex = Math.floor(bandIndex / 4);\n                var textureData = textureDataArrays[textureIndex];\n                var bandCount = textureData.length / pixelCount;\n                var textureBandIndex = bandIndex % 4;\n                textureData[pixelIndex * bandCount + textureBandIndex] = dataValue;\n                ++dataIndex;\n            }\n            rowOffset += bytesPerRow / bytesPerElement;\n        }\n        for (var textureIndex = 0; textureIndex < textureCount; ++textureIndex) {\n            var texture = this.textures[textureIndex];\n            var textureData = textureDataArrays[textureIndex];\n            var bandCount = textureData.length / pixelCount;\n            uploadDataTexture(helper, texture, textureData, this.size, bandCount, tile.interpolate);\n        }\n    };\n    TileTexture.prototype.handleTileChange_ = function () {\n        if (this.tile.getState() === TileState.LOADED) {\n            this.loaded = true;\n            this.uploadTile_();\n            this.dispatchEvent(EventType.CHANGE);\n        }\n    };\n    TileTexture.prototype.disposeInternal = function () {\n        var gl = this.helper_.getGL();\n        this.helper_.deleteBuffer(this.coords);\n        for (var i = 0; i < this.textures.length; ++i) {\n            gl.deleteTexture(this.textures[i]);\n        }\n        this.tile.removeEventListener(EventType.CHANGE, this.handleTileChange_);\n    };\n    return TileTexture;\n}(EventTarget));\nexport default TileTexture;\n//# sourceMappingURL=TileTexture.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/renderer/webgl/TileLayer\n */\nimport LRUCache from '../../structs/LRUCache.js';\nimport State from '../../source/State.js';\nimport TileRange from '../../TileRange.js';\nimport TileState from '../../TileState.js';\nimport TileTexture from '../../webgl/TileTexture.js';\nimport WebGLArrayBuffer from '../../webgl/Buffer.js';\nimport WebGLLayerRenderer from './Layer.js';\nimport { AttributeType } from '../../webgl/Helper.js';\nimport { ELEMENT_ARRAY_BUFFER, STATIC_DRAW } from '../../webgl.js';\nimport { compose as composeTransform, create as createTransform, } from '../../transform.js';\nimport { create as createMat4, fromTransform as mat4FromTransform, } from '../../vec/mat4.js';\nimport { createOrUpdate as createTileCoord, getKeyZXY, getKey as getTileCoordKey, } from '../../tilecoord.js';\nimport { fromUserExtent } from '../../proj.js';\nimport { getIntersection } from '../../extent.js';\nimport { getUid } from '../../util.js';\nimport { isEmpty } from '../../extent.js';\nimport { numberSafeCompareFunction } from '../../array.js';\nimport { toSize } from '../../size.js';\nexport var Uniforms = {\n    TILE_TEXTURE_ARRAY: 'u_tileTextures',\n    TILE_TRANSFORM: 'u_tileTransform',\n    TRANSITION_ALPHA: 'u_transitionAlpha',\n    DEPTH: 'u_depth',\n    TEXTURE_PIXEL_WIDTH: 'u_texturePixelWidth',\n    TEXTURE_PIXEL_HEIGHT: 'u_texturePixelHeight',\n    RESOLUTION: 'u_resolution',\n    ZOOM: 'u_zoom',\n};\nexport var Attributes = {\n    TEXTURE_COORD: 'a_textureCoord',\n};\n/**\n * @type {Array<import('../../webgl/Helper.js').AttributeDescription>}\n */\nvar attributeDescriptions = [\n    {\n        name: Attributes.TEXTURE_COORD,\n        size: 2,\n        type: AttributeType.FLOAT,\n    },\n];\n/**\n * @type {Object<string, boolean>}\n */\nvar empty = {};\n/**\n * Transform a zoom level into a depth value ranging from -1 to 1.\n * @param {number} z A zoom level.\n * @return {number} A depth value.\n */\nfunction depthForZ(z) {\n    return 2 * (1 - 1 / (z + 1)) - 1;\n}\n/**\n * Add a tile texture to the lookup.\n * @param {Object<number, Array<import(\"../../webgl/TileTexture.js\").default>>} tileTexturesByZ Lookup of\n * tile textures by zoom level.\n * @param {import(\"../../webgl/TileTexture.js\").default} tileTexture A tile texture.\n * @param {number} z The zoom level.\n */\nfunction addTileTextureToLookup(tileTexturesByZ, tileTexture, z) {\n    if (!(z in tileTexturesByZ)) {\n        tileTexturesByZ[z] = [];\n    }\n    tileTexturesByZ[z].push(tileTexture);\n}\n/**\n * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n * @param {import(\"../../extent.js\").Extent} extent The frame extent.\n * @return {import(\"../../extent.js\").Extent} Frame extent intersected with layer extents.\n */\nfunction getRenderExtent(frameState, extent) {\n    var layerState = frameState.layerStatesArray[frameState.layerIndex];\n    if (layerState.extent) {\n        extent = getIntersection(extent, fromUserExtent(layerState.extent, frameState.viewState.projection));\n    }\n    var source = \n    /** {import(\"../../source/Tile.js\").default} */ layerState.layer.getSource();\n    if (!source.getWrapX()) {\n        var gridExtent = source.tileGrid.getExtent();\n        if (gridExtent) {\n            extent = getIntersection(extent, gridExtent);\n        }\n    }\n    return extent;\n}\n/**\n * @typedef {Object} Options\n * @property {string} vertexShader Vertex shader source.\n * @property {string} fragmentShader Fragment shader source.\n * @property {Object<string, import(\"../../webgl/Helper\").UniformValue>} [uniforms] Additional uniforms\n * made available to shaders.\n * @property {Array<import(\"../../webgl/PaletteTexture.js\").default>} [paletteTextures] Palette textures.\n * @property {number} [cacheSize=512] The texture cache size.\n */\n/**\n * @typedef {import(\"../../layer/WebGLTile.js\").default} LayerType\n */\n/**\n * @classdesc\n * WebGL renderer for tile layers.\n * @extends {WebGLLayerRenderer<LayerType>}\n * @api\n */\nvar WebGLTileLayerRenderer = /** @class */ (function (_super) {\n    __extends(WebGLTileLayerRenderer, _super);\n    /**\n     * @param {LayerType} tileLayer Tile layer.\n     * @param {Options} options Options.\n     */\n    function WebGLTileLayerRenderer(tileLayer, options) {\n        var _this = _super.call(this, tileLayer, {\n            uniforms: options.uniforms,\n        }) || this;\n        /**\n         * This transform converts tile i, j coordinates to screen coordinates.\n         * @type {import(\"../../transform.js\").Transform}\n         * @private\n         */\n        _this.tileTransform_ = createTransform();\n        /**\n         * @type {Array<number>}\n         * @private\n         */\n        _this.tempMat4_ = createMat4();\n        /**\n         * @type {import(\"../../TileRange.js\").default}\n         * @private\n         */\n        _this.tempTileRange_ = new TileRange(0, 0, 0, 0);\n        /**\n         * @type {import(\"../../tilecoord.js\").TileCoord}\n         * @private\n         */\n        _this.tempTileCoord_ = createTileCoord(0, 0, 0);\n        /**\n         * @type {import(\"../../size.js\").Size}\n         * @private\n         */\n        _this.tempSize_ = [0, 0];\n        /**\n         * @type {WebGLProgram}\n         * @private\n         */\n        _this.program_;\n        /**\n         * @private\n         */\n        _this.vertexShader_ = options.vertexShader;\n        /**\n         * @private\n         */\n        _this.fragmentShader_ = options.fragmentShader;\n        /**\n         * Tiles are rendered as a quad with the following structure:\n         *\n         *  [P3]---------[P2]\n         *   |`           |\n         *   |  `     B   |\n         *   |    `       |\n         *   |      `     |\n         *   |   A    `   |\n         *   |          ` |\n         *  [P0]---------[P1]\n         *\n         * Triangle A: P0, P1, P3\n         * Triangle B: P1, P2, P3\n         *\n         * @private\n         */\n        _this.indices_ = new WebGLArrayBuffer(ELEMENT_ARRAY_BUFFER, STATIC_DRAW);\n        _this.indices_.fromArray([0, 1, 3, 1, 2, 3]);\n        var cacheSize = options.cacheSize !== undefined ? options.cacheSize : 512;\n        /**\n         * @type {import(\"../../structs/LRUCache.js\").default<import(\"../../webgl/TileTexture.js\").default>}\n         * @private\n         */\n        _this.tileTextureCache_ = new LRUCache(cacheSize);\n        /**\n         * @type {Array<import(\"../../webgl/PaletteTexture.js\").default>}\n         * @private\n         */\n        _this.paletteTextures_ = options.paletteTextures || [];\n        return _this;\n    }\n    /**\n     * @param {Options} options Options.\n     */\n    WebGLTileLayerRenderer.prototype.reset = function (options) {\n        _super.prototype.reset.call(this, {\n            uniforms: options.uniforms,\n        });\n        this.vertexShader_ = options.vertexShader;\n        this.fragmentShader_ = options.fragmentShader;\n        this.paletteTextures_ = options.paletteTextures || [];\n        if (this.helper) {\n            this.program_ = this.helper.getProgram(this.fragmentShader_, this.vertexShader_);\n        }\n    };\n    WebGLTileLayerRenderer.prototype.afterHelperCreated = function () {\n        this.program_ = this.helper.getProgram(this.fragmentShader_, this.vertexShader_);\n        this.helper.flushBufferData(this.indices_);\n    };\n    /**\n     * @param {import(\"../../webgl/TileTexture\").TileType} tile Tile.\n     * @return {boolean} Tile is drawable.\n     * @private\n     */\n    WebGLTileLayerRenderer.prototype.isDrawableTile_ = function (tile) {\n        var tileLayer = this.getLayer();\n        var tileState = tile.getState();\n        var useInterimTilesOnError = tileLayer.getUseInterimTilesOnError();\n        return (tileState == TileState.LOADED ||\n            tileState == TileState.EMPTY ||\n            (tileState == TileState.ERROR && !useInterimTilesOnError));\n    };\n    /**\n     * Determine whether renderFrame should be called.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {boolean} Layer is ready to be rendered.\n     */\n    WebGLTileLayerRenderer.prototype.prepareFrameInternal = function (frameState) {\n        var layer = this.getLayer();\n        var source = layer.getSource();\n        if (!source) {\n            return false;\n        }\n        if (isEmpty(getRenderExtent(frameState, frameState.extent))) {\n            return false;\n        }\n        return source.getState() === State.READY;\n    };\n    /**\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @param {import(\"../../extent.js\").Extent} extent The extent to be rendered.\n     * @param {number} z The zoom level.\n     * @param {Object<number, Array<TileTexture>>} tileTexturesByZ The zoom level.\n     */\n    WebGLTileLayerRenderer.prototype.enqueueTiles = function (frameState, extent, z, tileTexturesByZ) {\n        var viewState = frameState.viewState;\n        var tileLayer = this.getLayer();\n        var tileSource = tileLayer.getSource();\n        var tileGrid = tileSource.getTileGridForProjection(viewState.projection);\n        var tileTextureCache = this.tileTextureCache_;\n        var tileRange = tileGrid.getTileRangeForExtentAndZ(extent, z, this.tempTileRange_);\n        var tileSourceKey = getUid(tileSource);\n        if (!(tileSourceKey in frameState.wantedTiles)) {\n            frameState.wantedTiles[tileSourceKey] = {};\n        }\n        var wantedTiles = frameState.wantedTiles[tileSourceKey];\n        var tileResolution = tileGrid.getResolution(z);\n        for (var x = tileRange.minX; x <= tileRange.maxX; ++x) {\n            for (var y = tileRange.minY; y <= tileRange.maxY; ++y) {\n                var tileCoord = createTileCoord(z, x, y, this.tempTileCoord_);\n                var tileCoordKey = getTileCoordKey(tileCoord);\n                /**\n                 * @type {TileTexture}\n                 */\n                var tileTexture = void 0;\n                /**\n                 * @type {import(\"../../webgl/TileTexture\").TileType}\n                 */\n                var tile = void 0;\n                if (tileTextureCache.containsKey(tileCoordKey)) {\n                    tileTexture = tileTextureCache.get(tileCoordKey);\n                    tile = tileTexture.tile;\n                }\n                if (!tileTexture || tileTexture.tile.key !== tileSource.getKey()) {\n                    tile = tileSource.getTile(z, x, y, frameState.pixelRatio, viewState.projection);\n                    if (!tileTexture) {\n                        tileTexture = new TileTexture(tile, tileGrid, this.helper);\n                        tileTextureCache.set(tileCoordKey, tileTexture);\n                    }\n                    else {\n                        if (this.isDrawableTile_(tile)) {\n                            tileTexture.setTile(tile);\n                        }\n                        else {\n                            var interimTile = \n                            /** @type {import(\"../../webgl/TileTexture\").TileType} */ (tile.getInterimTile());\n                            tileTexture.setTile(interimTile);\n                        }\n                    }\n                }\n                addTileTextureToLookup(tileTexturesByZ, tileTexture, z);\n                var tileQueueKey = tile.getKey();\n                wantedTiles[tileQueueKey] = true;\n                if (tile.getState() === TileState.IDLE) {\n                    if (!frameState.tileQueue.isKeyQueued(tileQueueKey)) {\n                        frameState.tileQueue.enqueue([\n                            tile,\n                            tileSourceKey,\n                            tileGrid.getTileCoordCenter(tileCoord),\n                            tileResolution,\n                        ]);\n                    }\n                }\n            }\n        }\n    };\n    /**\n     * Render the layer.\n     * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n     * @return {HTMLElement} The rendered element.\n     */\n    WebGLTileLayerRenderer.prototype.renderFrame = function (frameState) {\n        var gl = this.helper.getGL();\n        this.preRender(gl, frameState);\n        var viewState = frameState.viewState;\n        var tileLayer = this.getLayer();\n        var tileSource = tileLayer.getSource();\n        var tileGrid = tileSource.getTileGridForProjection(viewState.projection);\n        var extent = getRenderExtent(frameState, frameState.extent);\n        var z = tileGrid.getZForResolution(viewState.resolution, tileSource.zDirection);\n        /**\n         * @type {Object<number, Array<import(\"../../webgl/TileTexture.js\").default>>}\n         */\n        var tileTexturesByZ = {};\n        if (frameState.nextExtent) {\n            var targetZ = tileGrid.getZForResolution(viewState.nextResolution, tileSource.zDirection);\n            var nextExtent = getRenderExtent(frameState, frameState.nextExtent);\n            this.enqueueTiles(frameState, nextExtent, targetZ, tileTexturesByZ);\n        }\n        this.enqueueTiles(frameState, extent, z, tileTexturesByZ);\n        /**\n         * A lookup of alpha values for tiles at the target rendering resolution\n         * for tiles that are in transition.  If a tile coord key is absent from\n         * this lookup, the tile should be rendered at alpha 1.\n         * @type {Object<string, number>}\n         */\n        var alphaLookup = {};\n        var uid = getUid(this);\n        var time = frameState.time;\n        var blend = false;\n        // look for cached tiles to use if a target tile is not ready\n        var tileTextures = tileTexturesByZ[z];\n        for (var i = 0, ii = tileTextures.length; i < ii; ++i) {\n            var tileTexture = tileTextures[i];\n            var tile = tileTexture.tile;\n            var tileCoord = tile.tileCoord;\n            if (tileTexture.loaded) {\n                var alpha = tile.getAlpha(uid, time);\n                if (alpha === 1) {\n                    // no need to look for alt tiles\n                    tile.endTransition(uid);\n                    continue;\n                }\n                blend = true;\n                var tileCoordKey = getTileCoordKey(tileCoord);\n                alphaLookup[tileCoordKey] = alpha;\n            }\n            // first look for child tiles (at z + 1)\n            var coveredByChildren = this.findAltTiles_(tileGrid, tileCoord, z + 1, tileTexturesByZ);\n            if (coveredByChildren) {\n                continue;\n            }\n            // next look for parent tiles\n            var minZoom = tileGrid.getMinZoom();\n            for (var parentZ = z - 1; parentZ >= minZoom; --parentZ) {\n                var coveredByParent = this.findAltTiles_(tileGrid, tileCoord, parentZ, tileTexturesByZ);\n                if (coveredByParent) {\n                    break;\n                }\n            }\n        }\n        this.helper.useProgram(this.program_);\n        this.helper.prepareDraw(frameState, !blend);\n        var zs = Object.keys(tileTexturesByZ)\n            .map(Number)\n            .sort(numberSafeCompareFunction);\n        var centerX = viewState.center[0];\n        var centerY = viewState.center[1];\n        for (var j = 0, jj = zs.length; j < jj; ++j) {\n            var tileZ = zs[j];\n            var tileResolution = tileGrid.getResolution(tileZ);\n            var tileSize = toSize(tileGrid.getTileSize(tileZ), this.tempSize_);\n            var tileOrigin = tileGrid.getOrigin(tileZ);\n            var centerI = (centerX - tileOrigin[0]) / (tileSize[0] * tileResolution);\n            var centerJ = (tileOrigin[1] - centerY) / (tileSize[1] * tileResolution);\n            var tileScale = viewState.resolution / tileResolution;\n            var depth = depthForZ(tileZ);\n            var tileTextures_1 = tileTexturesByZ[tileZ];\n            for (var i = 0, ii = tileTextures_1.length; i < ii; ++i) {\n                var tileTexture = tileTextures_1[i];\n                if (!tileTexture.loaded) {\n                    continue;\n                }\n                var tile = tileTexture.tile;\n                var tileCoord = tile.tileCoord;\n                var tileCoordKey = getTileCoordKey(tileCoord);\n                var tileCenterI = tileCoord[1];\n                var tileCenterJ = tileCoord[2];\n                composeTransform(this.tileTransform_, 0, 0, 2 / ((frameState.size[0] * tileScale) / tileSize[0]), -2 / ((frameState.size[1] * tileScale) / tileSize[1]), viewState.rotation, -(centerI - tileCenterI), -(centerJ - tileCenterJ));\n                this.helper.setUniformMatrixValue(Uniforms.TILE_TRANSFORM, mat4FromTransform(this.tempMat4_, this.tileTransform_));\n                this.helper.bindBuffer(tileTexture.coords);\n                this.helper.bindBuffer(this.indices_);\n                this.helper.enableAttributes(attributeDescriptions);\n                var textureSlot = 0;\n                while (textureSlot < tileTexture.textures.length) {\n                    var textureProperty = 'TEXTURE' + textureSlot;\n                    var uniformName = Uniforms.TILE_TEXTURE_ARRAY + \"[\" + textureSlot + \"]\";\n                    gl.activeTexture(gl[textureProperty]);\n                    gl.bindTexture(gl.TEXTURE_2D, tileTexture.textures[textureSlot]);\n                    gl.uniform1i(this.helper.getUniformLocation(uniformName), textureSlot);\n                    ++textureSlot;\n                }\n                for (var paletteIndex = 0; paletteIndex < this.paletteTextures_.length; ++paletteIndex) {\n                    var paletteTexture = this.paletteTextures_[paletteIndex];\n                    gl.activeTexture(gl['TEXTURE' + textureSlot]);\n                    var texture = paletteTexture.getTexture(gl);\n                    gl.bindTexture(gl.TEXTURE_2D, texture);\n                    gl.uniform1i(this.helper.getUniformLocation(paletteTexture.name), textureSlot);\n                    ++textureSlot;\n                }\n                var alpha = tileCoordKey in alphaLookup ? alphaLookup[tileCoordKey] : 1;\n                if (alpha < 1) {\n                    frameState.animate = true;\n                }\n                this.helper.setUniformFloatValue(Uniforms.TRANSITION_ALPHA, alpha);\n                this.helper.setUniformFloatValue(Uniforms.DEPTH, depth);\n                this.helper.setUniformFloatValue(Uniforms.TEXTURE_PIXEL_WIDTH, tileSize[0]);\n                this.helper.setUniformFloatValue(Uniforms.TEXTURE_PIXEL_HEIGHT, tileSize[1]);\n                this.helper.setUniformFloatValue(Uniforms.RESOLUTION, viewState.resolution);\n                this.helper.setUniformFloatValue(Uniforms.ZOOM, viewState.zoom);\n                this.helper.drawElements(0, this.indices_.getSize());\n            }\n        }\n        this.helper.finalizeDraw(frameState, this.dispatchPreComposeEvent, this.dispatchPostComposeEvent);\n        var canvas = this.helper.getCanvas();\n        var tileTextureCache = this.tileTextureCache_;\n        while (tileTextureCache.canExpireCache()) {\n            var tileTexture = tileTextureCache.pop();\n            tileTexture.dispose();\n        }\n        // TODO: let the renderers manage their own cache instead of managing the source cache\n        /**\n         * Here we unconditionally expire the source cache since the renderer maintains\n         * its own cache.\n         * @param {import(\"../../PluggableMap.js\").default} map Map.\n         * @param {import(\"../../PluggableMap.js\").FrameState} frameState Frame state.\n         */\n        var postRenderFunction = function (map, frameState) {\n            tileSource.expireCache(frameState.viewState.projection, empty);\n        };\n        frameState.postRenderFunctions.push(postRenderFunction);\n        this.postRender(gl, frameState);\n        return canvas;\n    };\n    /**\n     * Look for tiles covering the provided tile coordinate at an alternate\n     * zoom level.  Loaded tiles will be added to the provided tile texture lookup.\n     * @param {import(\"../../tilegrid/TileGrid.js\").default} tileGrid The tile grid.\n     * @param {import(\"../../tilecoord.js\").TileCoord} tileCoord The target tile coordinate.\n     * @param {number} altZ The alternate zoom level.\n     * @param {Object<number, Array<import(\"../../webgl/TileTexture.js\").default>>} tileTexturesByZ Lookup of\n     * tile textures by zoom level.\n     * @return {boolean} The tile coordinate is covered by loaded tiles at the alternate zoom level.\n     * @private\n     */\n    WebGLTileLayerRenderer.prototype.findAltTiles_ = function (tileGrid, tileCoord, altZ, tileTexturesByZ) {\n        var tileRange = tileGrid.getTileRangeForTileCoordAndZ(tileCoord, altZ, this.tempTileRange_);\n        if (!tileRange) {\n            return false;\n        }\n        var covered = true;\n        var tileTextureCache = this.tileTextureCache_;\n        for (var x = tileRange.minX; x <= tileRange.maxX; ++x) {\n            for (var y = tileRange.minY; y <= tileRange.maxY; ++y) {\n                var cacheKey = getKeyZXY(altZ, x, y);\n                var loaded = false;\n                if (tileTextureCache.containsKey(cacheKey)) {\n                    var tileTexture = tileTextureCache.get(cacheKey);\n                    if (tileTexture.loaded) {\n                        addTileTextureToLookup(tileTexturesByZ, tileTexture, altZ);\n                        loaded = true;\n                    }\n                }\n                if (!loaded) {\n                    covered = false;\n                }\n            }\n        }\n        return covered;\n    };\n    /**\n     * Clean up.\n     */\n    WebGLTileLayerRenderer.prototype.disposeInternal = function () {\n        var helper = this.helper;\n        var gl = helper.getGL();\n        helper.deleteBuffer(this.indices_);\n        delete this.indices_;\n        gl.deleteProgram(this.program_);\n        delete this.program_;\n        var tileTextureCache = this.tileTextureCache_;\n        tileTextureCache.forEach(function (tileTexture) {\n            tileTexture.dispose();\n        });\n        tileTextureCache.clear();\n        delete this.tileTextureCache_;\n        _super.prototype.disposeInternal.call(this);\n    };\n    return WebGLTileLayerRenderer;\n}(WebGLLayerRenderer));\n/**\n * @function\n * @return {import(\"../../layer/WebGLTile.js\").default}\n */\nWebGLTileLayerRenderer.prototype.getLayer;\nexport default WebGLTileLayerRenderer;\n//# sourceMappingURL=TileLayer.js.map","/**\n * Operators and utilities used for style expressions\n * @module ol/style/expressions\n */\nimport PaletteTexture from '../webgl/PaletteTexture.js';\nimport { Uniforms } from '../renderer/webgl/TileLayer.js';\nimport { asArray, fromString, isStringColor } from '../color.js';\nimport { log2 } from '../math.js';\n/**\n * Base type used for literal style parameters; can be a number literal or the output of an operator,\n * which in turns takes {@link import(\"./expressions.js\").ExpressionValue} arguments.\n *\n * The following operators can be used:\n *\n * * Reading operators:\n *   * `['band', bandIndex, xOffset, yOffset]` For tile layers only. Fetches pixel values from band\n *     `bandIndex` of the source's data. The first `bandIndex` of the source data is `1`. Fetched values\n *     are in the 0..1 range. {@link import(\"../source/TileImage.js\").default} sources have 4 bands: red,\n *     green, blue and alpha. {@link import(\"../source/DataTile.js\").default} sources can have any number\n *     of bands, depending on the underlying data source and\n *     {@link import(\"../source/GeoTIFF.js\").Options configuration}. `xOffset` and `yOffset` are optional\n *     and allow specifying pixel offsets for x and y. This is used for sampling data from neighboring pixels.\n *   * `['get', 'attributeName']` fetches a feature attribute (it will be prefixed by `a_` in the shader)\n *     Note: those will be taken from the attributes provided to the renderer\n *   * `['resolution']` returns the current resolution\n *   * `['time']` returns the time in seconds since the creation of the layer\n *   * `['var', 'varName']` fetches a value from the style variables, or 0 if undefined\n *   * `['zoom']` returns the current zoom level\n *\n * * Math operators:\n *   * `['*', value1, value2]` multiplies `value1` by `value2`\n *   * `['/', value1, value2]` divides `value1` by `value2`\n *   * `['+', value1, value2]` adds `value1` and `value2`\n *   * `['-', value1, value2]` subtracts `value2` from `value1`\n *   * `['clamp', value, low, high]` clamps `value` between `low` and `high`\n *   * `['%', value1, value2]` returns the result of `value1 % value2` (modulo)\n *   * `['^', value1, value2]` returns the value of `value1` raised to the `value2` power\n *   * `['abs', value1]` returns the absolute value of `value1`\n *   * `['sin', value1]` returns the sine of `value1`\n *   * `['cos', value1]` returns the cosine of `value1`\n *   * `['atan', value1, value2]` returns `atan2(value1, value2)`. If `value2` is not provided, returns `atan(value1)`\n *\n * * Transform operators:\n *   * `['case', condition1, output1, ...conditionN, outputN, fallback]` selects the first output whose corresponding\n *     condition evaluates to `true`. If no match is found, returns the `fallback` value.\n *     All conditions should be `boolean`, output and fallback can be any kind.\n *   * `['match', input, match1, output1, ...matchN, outputN, fallback]` compares the `input` value against all\n *     provided `matchX` values, returning the output associated with the first valid match. If no match is found,\n *     returns the `fallback` value.\n *     `input` and `matchX` values must all be of the same type, and can be `number` or `string`. `outputX` and\n *     `fallback` values must be of the same type, and can be of any kind.\n *   * `['interpolate', interpolation, input, stop1, output1, ...stopN, outputN]` returns a value by interpolating between\n *     pairs of inputs and outputs; `interpolation` can either be `['linear']` or `['exponential', base]` where `base` is\n *     the rate of increase from stop A to stop B (i.e. power to which the interpolation ratio is raised); a value\n *     of 1 is equivalent to `['linear']`.\n *     `input` and `stopX` values must all be of type `number`. `outputX` values can be `number` or `color` values.\n *     Note: `input` will be clamped between `stop1` and `stopN`, meaning that all output values will be comprised\n *     between `output1` and `outputN`.\n *\n * * Logical operators:\n *   * `['<', value1, value2]` returns `true` if `value1` is strictly lower than `value2`, or `false` otherwise.\n *   * `['<=', value1, value2]` returns `true` if `value1` is lower than or equals `value2`, or `false` otherwise.\n *   * `['>', value1, value2]` returns `true` if `value1` is strictly greater than `value2`, or `false` otherwise.\n *   * `['>=', value1, value2]` returns `true` if `value1` is greater than or equals `value2`, or `false` otherwise.\n *   * `['==', value1, value2]` returns `true` if `value1` equals `value2`, or `false` otherwise.\n *   * `['!=', value1, value2]` returns `true` if `value1` does not equal `value2`, or `false` otherwise.\n *   * `['!', value1]` returns `false` if `value1` is `true` or greater than `0`, or `true` otherwise.\n *   * `['all', value1, value2, ...]` returns `true` if all the inputs are `true`, `false` otherwise.\n *   * `['any', value1, value2, ...]` returns `true` if any of the inputs are `true`, `false` otherwise.\n *   * `['between', value1, value2, value3]` returns `true` if `value1` is contained between `value2` and `value3`\n *     (inclusively), or `false` otherwise.\n *\n * * Conversion operators:\n *   * `['array', value1, ...valueN]` creates a numerical array from `number` values; please note that the amount of\n *     values can currently only be 2, 3 or 4.\n *   * `['color', red, green, blue, alpha]` creates a `color` value from `number` values; the `alpha` parameter is\n *     optional; if not specified, it will be set to 1.\n *     Note: `red`, `green` and `blue` components must be values between 0 and 255; `alpha` between 0 and 1.\n *   * `['palette', index, colors]` picks a `color` value from an array of colors using the given index; the `index`\n *     expression must evaluate to a number; the items in the `colors` array must be strings with hex colors\n *     (e.g. `'#86A136'`), colors using the rgba[a] functional notation (e.g. `'rgb(134, 161, 54)'` or `'rgba(134, 161, 54, 1)'`),\n *     named colors (e.g. `'red'`), or array literals with 3 ([r, g, b]) or 4 ([r, g, b, a]) values (with r, g, and b\n *     in the 0-255 range and a in the 0-1 range).\n *\n * Values can either be literals or another operator, as they will be evaluated recursively.\n * Literal values can be of the following types:\n * * `boolean`\n * * `number`\n * * `string`\n * * {@link module:ol/color~Color}\n *\n * @typedef {Array<*>|import(\"../color.js\").Color|string|number|boolean} ExpressionValue\n * @api\n */\n/**\n * Possible inferred types from a given value or expression.\n * Note: these are binary flags.\n * @enum {number}\n */\nexport var ValueTypes = {\n    NUMBER: 1,\n    STRING: 2,\n    COLOR: 4,\n    BOOLEAN: 8,\n    NUMBER_ARRAY: 16,\n    ANY: 31,\n    NONE: 0,\n};\n/**\n * An operator declaration must contain two methods: `getReturnType` which returns a type based on\n * the operator arguments, and `toGlsl` which returns a GLSL-compatible string.\n * Note: both methods can process arguments recursively.\n * @typedef {Object} Operator\n * @property {function(Array<ExpressionValue>): ValueTypes|number} getReturnType Returns one or several types\n * @property {function(ParsingContext, Array<ExpressionValue>, ValueTypes=): string} toGlsl Returns a GLSL-compatible string\n * Note: takes in an optional type hint as 3rd parameter\n */\n/**\n * Operator declarations\n * @type {Object<string, Operator>}\n */\nexport var Operators = {};\n/**\n * Returns the possible types for a given value (each type being a binary flag)\n * To test a value use e.g. `getValueType(v) & ValueTypes.BOOLEAN`\n * @param {ExpressionValue} value Value\n * @return {ValueTypes|number} Type or types inferred from the value\n */\nexport function getValueType(value) {\n    if (typeof value === 'number') {\n        return ValueTypes.NUMBER;\n    }\n    if (typeof value === 'boolean') {\n        return ValueTypes.BOOLEAN;\n    }\n    if (typeof value === 'string') {\n        if (isStringColor(value)) {\n            return ValueTypes.COLOR | ValueTypes.STRING;\n        }\n        return ValueTypes.STRING;\n    }\n    if (!Array.isArray(value)) {\n        throw new Error(\"Unhandled value type: \" + JSON.stringify(value));\n    }\n    var valueArr = /** @type {Array<*>} */ (value);\n    var onlyNumbers = valueArr.every(function (v) {\n        return typeof v === 'number';\n    });\n    if (onlyNumbers) {\n        if (valueArr.length === 3 || valueArr.length === 4) {\n            return ValueTypes.COLOR | ValueTypes.NUMBER_ARRAY;\n        }\n        return ValueTypes.NUMBER_ARRAY;\n    }\n    if (typeof valueArr[0] !== 'string') {\n        throw new Error(\"Expected an expression operator but received: \" + JSON.stringify(valueArr));\n    }\n    var operator = Operators[valueArr[0]];\n    if (operator === undefined) {\n        throw new Error(\"Unrecognized expression operator: \" + JSON.stringify(valueArr));\n    }\n    return operator.getReturnType(valueArr.slice(1));\n}\n/**\n * Checks if only one value type is enabled in the input number.\n * @param {ValueTypes|number} valueType Number containing value type binary flags\n * @return {boolean} True if only one type flag is enabled, false if zero or multiple\n */\nexport function isTypeUnique(valueType) {\n    return log2(valueType) % 1 === 0;\n}\n/**\n * Context available during the parsing of an expression.\n * @typedef {Object} ParsingContext\n * @property {boolean} [inFragmentShader] If false, means the expression output should be made for a vertex shader\n * @property {Array<string>} variables List of variables used in the expression; contains **unprefixed names**\n * @property {Array<string>} attributes List of attributes used in the expression; contains **unprefixed names**\n * @property {Object<string, number>} stringLiteralsMap This object maps all encountered string values to a number\n * @property {Object<string, string>} functions Lookup of functions used by the style.\n * @property {number} [bandCount] Number of bands per pixel.\n * @property {Array<PaletteTexture>} [paletteTextures] List of palettes used by the style.\n */\n/**\n * Will return the number as a float with a dot separator, which is required by GLSL.\n * @param {number} v Numerical value.\n * @return {string} The value as string.\n */\nexport function numberToGlsl(v) {\n    var s = v.toString();\n    return s.indexOf('.') === -1 ? s + '.0' : s;\n}\n/**\n * Will return the number array as a float with a dot separator, concatenated with ', '.\n * @param {Array<number>} array Numerical values array.\n * @return {string} The array as a vector, e. g.: `vec3(1.0, 2.0, 3.0)`.\n */\nexport function arrayToGlsl(array) {\n    if (array.length < 2 || array.length > 4) {\n        throw new Error('`formatArray` can only output `vec2`, `vec3` or `vec4` arrays.');\n    }\n    return \"vec\" + array.length + \"(\" + array.map(numberToGlsl).join(', ') + \")\";\n}\n/**\n * Will normalize and converts to string a `vec4` color array compatible with GLSL.\n * @param {string|import(\"../color.js\").Color} color Color either in string format or [r, g, b, a] array format,\n * with RGB components in the 0..255 range and the alpha component in the 0..1 range.\n * Note that the final array will always have 4 components.\n * @return {string} The color expressed in the `vec4(1.0, 1.0, 1.0, 1.0)` form.\n */\nexport function colorToGlsl(color) {\n    var array = asArray(color).slice();\n    if (array.length < 4) {\n        array.push(1);\n    }\n    return arrayToGlsl(array.map(function (c, i) {\n        return i < 3 ? c / 255 : c;\n    }));\n}\n/**\n * Returns a stable equivalent number for the string literal.\n * @param {ParsingContext} context Parsing context\n * @param {string} string String literal value\n * @return {number} Number equivalent\n */\nexport function getStringNumberEquivalent(context, string) {\n    if (context.stringLiteralsMap[string] === undefined) {\n        context.stringLiteralsMap[string] = Object.keys(context.stringLiteralsMap).length;\n    }\n    return context.stringLiteralsMap[string];\n}\n/**\n * Returns a stable equivalent number for the string literal, for use in shaders. This number is then\n * converted to be a GLSL-compatible string.\n * @param {ParsingContext} context Parsing context\n * @param {string} string String literal value\n * @return {string} GLSL-compatible string containing a number\n */\nexport function stringToGlsl(context, string) {\n    return numberToGlsl(getStringNumberEquivalent(context, string));\n}\n/**\n * Recursively parses a style expression and outputs a GLSL-compatible string. Takes in a parsing context that\n * will be read and modified during the parsing operation.\n * @param {ParsingContext} context Parsing context\n * @param {ExpressionValue} value Value\n * @param {ValueTypes|number} [typeHint] Hint for the expected final type (can be several types combined)\n * @return {string} GLSL-compatible output\n */\nexport function expressionToGlsl(context, value, typeHint) {\n    // operator\n    if (Array.isArray(value) && typeof value[0] === 'string') {\n        var operator = Operators[value[0]];\n        if (operator === undefined) {\n            throw new Error(\"Unrecognized expression operator: \" + JSON.stringify(value));\n        }\n        return operator.toGlsl(context, value.slice(1), typeHint);\n    }\n    var valueType = getValueType(value);\n    if ((valueType & ValueTypes.NUMBER) > 0) {\n        return numberToGlsl(/** @type {number} */ (value));\n    }\n    if ((valueType & ValueTypes.BOOLEAN) > 0) {\n        return value.toString();\n    }\n    if ((valueType & ValueTypes.STRING) > 0 &&\n        (typeHint === undefined || typeHint == ValueTypes.STRING)) {\n        return stringToGlsl(context, value.toString());\n    }\n    if ((valueType & ValueTypes.COLOR) > 0 &&\n        (typeHint === undefined || typeHint == ValueTypes.COLOR)) {\n        return colorToGlsl(/** @type {Array<number> | string} */ (value));\n    }\n    if ((valueType & ValueTypes.NUMBER_ARRAY) > 0) {\n        return arrayToGlsl(/** @type {Array<number>} */ (value));\n    }\n    throw new Error(\"Unexpected expression \" + value + \" (expected type \" + typeHint + \")\");\n}\nfunction assertNumber(value) {\n    if (!(getValueType(value) & ValueTypes.NUMBER)) {\n        throw new Error(\"A numeric value was expected, got \" + JSON.stringify(value) + \" instead\");\n    }\n}\nfunction assertNumbers(values) {\n    for (var i = 0; i < values.length; i++) {\n        assertNumber(values[i]);\n    }\n}\nfunction assertString(value) {\n    if (!(getValueType(value) & ValueTypes.STRING)) {\n        throw new Error(\"A string value was expected, got \" + JSON.stringify(value) + \" instead\");\n    }\n}\nfunction assertBoolean(value) {\n    if (!(getValueType(value) & ValueTypes.BOOLEAN)) {\n        throw new Error(\"A boolean value was expected, got \" + JSON.stringify(value) + \" instead\");\n    }\n}\nfunction assertArgsCount(args, count) {\n    if (args.length !== count) {\n        throw new Error(\"Exactly \" + count + \" arguments were expected, got \" + args.length + \" instead\");\n    }\n}\nfunction assertArgsMinCount(args, count) {\n    if (args.length < count) {\n        throw new Error(\"At least \" + count + \" arguments were expected, got \" + args.length + \" instead\");\n    }\n}\nfunction assertArgsMaxCount(args, count) {\n    if (args.length > count) {\n        throw new Error(\"At most \" + count + \" arguments were expected, got \" + args.length + \" instead\");\n    }\n}\nfunction assertArgsEven(args) {\n    if (args.length % 2 !== 0) {\n        throw new Error(\"An even amount of arguments was expected, got \" + args + \" instead\");\n    }\n}\nfunction assertArgsOdd(args) {\n    if (args.length % 2 === 0) {\n        throw new Error(\"An odd amount of arguments was expected, got \" + args + \" instead\");\n    }\n}\nfunction assertUniqueInferredType(args, types) {\n    if (!isTypeUnique(types)) {\n        throw new Error(\"Could not infer only one type from the following expression: \" + JSON.stringify(args));\n    }\n}\nOperators['get'] = {\n    getReturnType: function (args) {\n        return ValueTypes.ANY;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertString(args[0]);\n        var value = args[0].toString();\n        if (context.attributes.indexOf(value) === -1) {\n            context.attributes.push(value);\n        }\n        var prefix = context.inFragmentShader ? 'v_' : 'a_';\n        return prefix + value;\n    },\n};\n/**\n * Get the uniform name given a variable name.\n * @param {string} variableName The variable name.\n * @return {string} The uniform name.\n */\nexport function uniformNameForVariable(variableName) {\n    return 'u_var_' + variableName;\n}\nOperators['var'] = {\n    getReturnType: function (args) {\n        return ValueTypes.ANY;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertString(args[0]);\n        var value = args[0].toString();\n        if (context.variables.indexOf(value) === -1) {\n            context.variables.push(value);\n        }\n        return uniformNameForVariable(value);\n    },\n};\nexport var PALETTE_TEXTURE_ARRAY = 'u_paletteTextures';\n// ['palette', index, colors]\nOperators['palette'] = {\n    getReturnType: function (args) {\n        return ValueTypes.COLOR;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumber(args[0]);\n        var index = expressionToGlsl(context, args[0]);\n        var colors = args[1];\n        if (!Array.isArray(colors)) {\n            throw new Error('The second argument of palette must be an array');\n        }\n        var numColors = colors.length;\n        var palette = new Uint8Array(numColors * 4);\n        for (var i = 0; i < numColors; i++) {\n            var candidate = colors[i];\n            /**\n             * @type {import('../color.js').Color}\n             */\n            var color = void 0;\n            if (typeof candidate === 'string') {\n                color = fromString(candidate);\n            }\n            else {\n                if (!Array.isArray(candidate)) {\n                    throw new Error('The second argument of palette must be an array of strings or colors');\n                }\n                var length_1 = candidate.length;\n                if (length_1 === 4) {\n                    color = candidate;\n                }\n                else {\n                    if (length_1 !== 3) {\n                        throw new Error(\"Expected palette color to have 3 or 4 values, got \" + length_1);\n                    }\n                    color = [candidate[0], candidate[1], candidate[2], 1];\n                }\n            }\n            var offset = i * 4;\n            palette[offset] = color[0];\n            palette[offset + 1] = color[1];\n            palette[offset + 2] = color[2];\n            palette[offset + 3] = color[3] * 255;\n        }\n        if (!context.paletteTextures) {\n            context.paletteTextures = [];\n        }\n        var paletteName = PALETTE_TEXTURE_ARRAY + \"[\" + context.paletteTextures.length + \"]\";\n        var paletteTexture = new PaletteTexture(paletteName, palette);\n        context.paletteTextures.push(paletteTexture);\n        return \"texture2D(\" + paletteName + \", vec2((\" + index + \" + 0.5) / \" + numColors + \".0, 0.5))\";\n    },\n};\nvar GET_BAND_VALUE_FUNC = 'getBandValue';\nOperators['band'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsMinCount(args, 1);\n        assertArgsMaxCount(args, 3);\n        var band = args[0];\n        if (!(GET_BAND_VALUE_FUNC in context.functions)) {\n            var ifBlocks = '';\n            var bandCount = context.bandCount || 1;\n            for (var i = 0; i < bandCount; i++) {\n                var colorIndex = Math.floor(i / 4);\n                var bandIndex = i % 4;\n                if (bandIndex === bandCount - 1 && bandIndex === 1) {\n                    // LUMINANCE_ALPHA - band 1 assigned to rgb and band 2 assigned to alpha\n                    bandIndex = 3;\n                }\n                var textureName = Uniforms.TILE_TEXTURE_ARRAY + \"[\" + colorIndex + \"]\";\n                ifBlocks += \"\\n          if (band == \" + (i + 1) + \".0) {\\n            return texture2D(\" + textureName + \", v_textureCoord + vec2(dx, dy))[\" + bandIndex + \"];\\n          }\\n        \";\n            }\n            context.functions[GET_BAND_VALUE_FUNC] = \"\\n        float getBandValue(float band, float xOffset, float yOffset) {\\n          float dx = xOffset / \" + Uniforms.TEXTURE_PIXEL_WIDTH + \";\\n          float dy = yOffset / \" + Uniforms.TEXTURE_PIXEL_HEIGHT + \";\\n          \" + ifBlocks + \"\\n        }\\n      \";\n        }\n        var bandExpression = expressionToGlsl(context, band);\n        var xOffsetExpression = expressionToGlsl(context, args[1] || 0);\n        var yOffsetExpression = expressionToGlsl(context, args[2] || 0);\n        return GET_BAND_VALUE_FUNC + \"(\" + bandExpression + \", \" + xOffsetExpression + \", \" + yOffsetExpression + \")\";\n    },\n};\nOperators['time'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 0);\n        return 'u_time';\n    },\n};\nOperators['zoom'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 0);\n        return 'u_zoom';\n    },\n};\nOperators['resolution'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 0);\n        return 'u_resolution';\n    },\n};\nOperators['*'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" * \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['/'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" / \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['+'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" + \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['-'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" - \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['clamp'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 3);\n        assertNumbers(args);\n        var min = expressionToGlsl(context, args[1]);\n        var max = expressionToGlsl(context, args[2]);\n        return \"clamp(\" + expressionToGlsl(context, args[0]) + \", \" + min + \", \" + max + \")\";\n    },\n};\nOperators['%'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"mod(\" + expressionToGlsl(context, args[0]) + \", \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['^'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"pow(\" + expressionToGlsl(context, args[0]) + \", \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['abs'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertNumbers(args);\n        return \"abs(\" + expressionToGlsl(context, args[0]) + \")\";\n    },\n};\nOperators['sin'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertNumbers(args);\n        return \"sin(\" + expressionToGlsl(context, args[0]) + \")\";\n    },\n};\nOperators['cos'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertNumbers(args);\n        return \"cos(\" + expressionToGlsl(context, args[0]) + \")\";\n    },\n};\nOperators['atan'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER;\n    },\n    toGlsl: function (context, args) {\n        assertArgsMinCount(args, 1);\n        assertArgsMaxCount(args, 2);\n        assertNumbers(args);\n        return args.length === 2\n            ? \"atan(\" + expressionToGlsl(context, args[0]) + \", \" + expressionToGlsl(context, args[1]) + \")\"\n            : \"atan(\" + expressionToGlsl(context, args[0]) + \")\";\n    },\n};\nOperators['>'] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" > \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['>='] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" >= \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['<'] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" < \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nOperators['<='] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 2);\n        assertNumbers(args);\n        return \"(\" + expressionToGlsl(context, args[0]) + \" <= \" + expressionToGlsl(context, args[1]) + \")\";\n    },\n};\nfunction getEqualOperator(operator) {\n    return {\n        getReturnType: function (args) {\n            return ValueTypes.BOOLEAN;\n        },\n        toGlsl: function (context, args) {\n            assertArgsCount(args, 2);\n            // find common type\n            var type = ValueTypes.ANY;\n            for (var i = 0; i < args.length; i++) {\n                type &= getValueType(args[i]);\n            }\n            if (type === ValueTypes.NONE) {\n                throw new Error(\"All arguments should be of compatible type, got \" + JSON.stringify(args) + \" instead\");\n            }\n            // Since it's not possible to have color types here, we can leave it out\n            // This fixes issues in case the value type is ambiguously detected as a color (e.g. the string 'red')\n            type &= ~ValueTypes.COLOR;\n            return \"(\" + expressionToGlsl(context, args[0], type) + \" \" + operator + \" \" + expressionToGlsl(context, args[1], type) + \")\";\n        },\n    };\n}\nOperators['=='] = getEqualOperator('==');\nOperators['!='] = getEqualOperator('!=');\nOperators['!'] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 1);\n        assertBoolean(args[0]);\n        return \"(!\" + expressionToGlsl(context, args[0]) + \")\";\n    },\n};\nfunction getDecisionOperator(operator) {\n    return {\n        getReturnType: function (args) {\n            return ValueTypes.BOOLEAN;\n        },\n        toGlsl: function (context, args) {\n            assertArgsMinCount(args, 2);\n            for (var i = 0; i < args.length; i++) {\n                assertBoolean(args[i]);\n            }\n            var result = '';\n            result = args\n                .map(function (arg) { return expressionToGlsl(context, arg); })\n                .join(\" \" + operator + \" \");\n            result = \"(\" + result + \")\";\n            return result;\n        },\n    };\n}\nOperators['all'] = getDecisionOperator('&&');\nOperators['any'] = getDecisionOperator('||');\nOperators['between'] = {\n    getReturnType: function (args) {\n        return ValueTypes.BOOLEAN;\n    },\n    toGlsl: function (context, args) {\n        assertArgsCount(args, 3);\n        assertNumbers(args);\n        var min = expressionToGlsl(context, args[1]);\n        var max = expressionToGlsl(context, args[2]);\n        var value = expressionToGlsl(context, args[0]);\n        return \"(\" + value + \" >= \" + min + \" && \" + value + \" <= \" + max + \")\";\n    },\n};\nOperators['array'] = {\n    getReturnType: function (args) {\n        return ValueTypes.NUMBER_ARRAY;\n    },\n    toGlsl: function (context, args) {\n        assertArgsMinCount(args, 2);\n        assertArgsMaxCount(args, 4);\n        assertNumbers(args);\n        var parsedArgs = args.map(function (val) {\n            return expressionToGlsl(context, val, ValueTypes.NUMBER);\n        });\n        return \"vec\" + args.length + \"(\" + parsedArgs.join(', ') + \")\";\n    },\n};\nOperators['color'] = {\n    getReturnType: function (args) {\n        return ValueTypes.COLOR;\n    },\n    toGlsl: function (context, args) {\n        assertArgsMinCount(args, 3);\n        assertArgsMaxCount(args, 4);\n        assertNumbers(args);\n        var array = /** @type {Array<number>} */ (args);\n        if (args.length === 3) {\n            array.push(1);\n        }\n        var parsedArgs = args.map(function (val, i) {\n            return (expressionToGlsl(context, val, ValueTypes.NUMBER) +\n                (i < 3 ? ' / 255.0' : ''));\n        });\n        return \"vec\" + args.length + \"(\" + parsedArgs.join(', ') + \")\";\n    },\n};\nOperators['interpolate'] = {\n    getReturnType: function (args) {\n        var type = ValueTypes.COLOR | ValueTypes.NUMBER;\n        for (var i = 3; i < args.length; i += 2) {\n            type = type & getValueType(args[i]);\n        }\n        return type;\n    },\n    toGlsl: function (context, args, opt_typeHint) {\n        assertArgsEven(args);\n        assertArgsMinCount(args, 6);\n        // validate interpolation type\n        var type = args[0];\n        var interpolation;\n        switch (type[0]) {\n            case 'linear':\n                interpolation = 1;\n                break;\n            case 'exponential':\n                interpolation = type[1];\n                break;\n            default:\n                interpolation = null;\n        }\n        if (!interpolation) {\n            throw new Error(\"Invalid interpolation type for \\\"interpolate\\\" operator, received: \" + JSON.stringify(type));\n        }\n        // compute input/output types\n        var typeHint = opt_typeHint !== undefined ? opt_typeHint : ValueTypes.ANY;\n        var outputType = Operators['interpolate'].getReturnType(args) & typeHint;\n        assertUniqueInferredType(args, outputType);\n        var input = expressionToGlsl(context, args[1]);\n        var exponent = numberToGlsl(interpolation);\n        var result = '';\n        for (var i = 2; i < args.length - 2; i += 2) {\n            var stop1 = expressionToGlsl(context, args[i]);\n            var output1 = result || expressionToGlsl(context, args[i + 1], outputType);\n            var stop2 = expressionToGlsl(context, args[i + 2]);\n            var output2 = expressionToGlsl(context, args[i + 3], outputType);\n            result = \"mix(\" + output1 + \", \" + output2 + \", pow(clamp((\" + input + \" - \" + stop1 + \") / (\" + stop2 + \" - \" + stop1 + \"), 0.0, 1.0), \" + exponent + \"))\";\n        }\n        return result;\n    },\n};\nOperators['match'] = {\n    getReturnType: function (args) {\n        var type = ValueTypes.ANY;\n        for (var i = 2; i < args.length; i += 2) {\n            type = type & getValueType(args[i]);\n        }\n        type = type & getValueType(args[args.length - 1]);\n        return type;\n    },\n    toGlsl: function (context, args, opt_typeHint) {\n        assertArgsEven(args);\n        assertArgsMinCount(args, 4);\n        var typeHint = opt_typeHint !== undefined ? opt_typeHint : ValueTypes.ANY;\n        var outputType = Operators['match'].getReturnType(args) & typeHint;\n        assertUniqueInferredType(args, outputType);\n        var input = expressionToGlsl(context, args[0]);\n        var fallback = expressionToGlsl(context, args[args.length - 1], outputType);\n        var result = null;\n        for (var i = args.length - 3; i >= 1; i -= 2) {\n            var match = expressionToGlsl(context, args[i]);\n            var output = expressionToGlsl(context, args[i + 1], outputType);\n            result = \"(\" + input + \" == \" + match + \" ? \" + output + \" : \" + (result || fallback) + \")\";\n        }\n        return result;\n    },\n};\nOperators['case'] = {\n    getReturnType: function (args) {\n        var type = ValueTypes.ANY;\n        for (var i = 1; i < args.length; i += 2) {\n            type = type & getValueType(args[i]);\n        }\n        type = type & getValueType(args[args.length - 1]);\n        return type;\n    },\n    toGlsl: function (context, args, opt_typeHint) {\n        assertArgsOdd(args);\n        assertArgsMinCount(args, 3);\n        var typeHint = opt_typeHint !== undefined ? opt_typeHint : ValueTypes.ANY;\n        var outputType = Operators['case'].getReturnType(args) & typeHint;\n        assertUniqueInferredType(args, outputType);\n        for (var i = 0; i < args.length - 1; i += 2) {\n            assertBoolean(args[i]);\n        }\n        var fallback = expressionToGlsl(context, args[args.length - 1], outputType);\n        var result = null;\n        for (var i = args.length - 3; i >= 0; i -= 2) {\n            var condition = expressionToGlsl(context, args[i]);\n            var output = expressionToGlsl(context, args[i + 1], outputType);\n            result = \"(\" + condition + \" ? \" + output + \" : \" + (result || fallback) + \")\";\n        }\n        return result;\n    },\n};\n//# sourceMappingURL=expressions.js.map","/**\n * Classes and utilities for generating shaders from literal style objects\n * @module ol/webgl/ShaderBuilder\n */\nimport { ValueTypes, expressionToGlsl, getStringNumberEquivalent, uniformNameForVariable, } from '../style/expressions.js';\n/**\n * @typedef {Object} VaryingDescription\n * @property {string} name Varying name, as will be declared in the header.\n * @property {string} type Varying type, either `float`, `vec2`, `vec4`...\n * @property {string} expression Expression which will be assigned to the varying in the vertex shader, and\n * passed on to the fragment shader.\n */\n/**\n * @classdesc\n * This class implements a classic builder pattern for generating many different types of shaders.\n * Methods can be chained, e. g.:\n *\n * ```js\n * const shader = new ShaderBuilder()\n *   .addVarying('v_width', 'float', 'a_width')\n *   .addUniform('u_time')\n *   .setColorExpression('...')\n *   .setSizeExpression('...')\n *   .outputSymbolFragmentShader();\n * ```\n */\nvar ShaderBuilder = /** @class */ (function () {\n    function ShaderBuilder() {\n        /**\n         * Uniforms; these will be declared in the header (should include the type).\n         * @type {Array<string>}\n         * @private\n         */\n        this.uniforms = [];\n        /**\n         * Attributes; these will be declared in the header (should include the type).\n         * @type {Array<string>}\n         * @private\n         */\n        this.attributes = [];\n        /**\n         * Varyings with a name, a type and an expression.\n         * @type {Array<VaryingDescription>}\n         * @private\n         */\n        this.varyings = [];\n        /**\n         * @type {string}\n         * @private\n         */\n        this.sizeExpression = 'vec2(1.0)';\n        /**\n         * @type {string}\n         * @private\n         */\n        this.rotationExpression = '0.0';\n        /**\n         * @type {string}\n         * @private\n         */\n        this.offsetExpression = 'vec2(0.0)';\n        /**\n         * @type {string}\n         * @private\n         */\n        this.colorExpression = 'vec4(1.0)';\n        /**\n         * @type {string}\n         * @private\n         */\n        this.texCoordExpression = 'vec4(0.0, 0.0, 1.0, 1.0)';\n        /**\n         * @type {string}\n         * @private\n         */\n        this.discardExpression = 'false';\n        /**\n         * @type {boolean}\n         * @private\n         */\n        this.rotateWithView = false;\n    }\n    /**\n     * Adds a uniform accessible in both fragment and vertex shaders.\n     * The given name should include a type, such as `sampler2D u_texture`.\n     * @param {string} name Uniform name\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.addUniform = function (name) {\n        this.uniforms.push(name);\n        return this;\n    };\n    /**\n     * Adds an attribute accessible in the vertex shader, read from the geometry buffer.\n     * The given name should include a type, such as `vec2 a_position`.\n     * @param {string} name Attribute name\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.addAttribute = function (name) {\n        this.attributes.push(name);\n        return this;\n    };\n    /**\n     * Adds a varying defined in the vertex shader and accessible from the fragment shader.\n     * The type and expression of the varying have to be specified separately.\n     * @param {string} name Varying name\n     * @param {'float'|'vec2'|'vec3'|'vec4'} type Type\n     * @param {string} expression Expression used to assign a value to the varying.\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.addVarying = function (name, type, expression) {\n        this.varyings.push({\n            name: name,\n            type: type,\n            expression: expression,\n        });\n        return this;\n    };\n    /**\n     * Sets an expression to compute the size of the shape.\n     * This expression can use all the uniforms and attributes available\n     * in the vertex shader, and should evaluate to a `vec2` value.\n     * @param {string} expression Size expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setSizeExpression = function (expression) {\n        this.sizeExpression = expression;\n        return this;\n    };\n    /**\n     * Sets an expression to compute the rotation of the shape.\n     * This expression can use all the uniforms and attributes available\n     * in the vertex shader, and should evaluate to a `float` value in radians.\n     * @param {string} expression Size expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setRotationExpression = function (expression) {\n        this.rotationExpression = expression;\n        return this;\n    };\n    /**\n     * Sets an expression to compute the offset of the symbol from the point center.\n     * This expression can use all the uniforms and attributes available\n     * in the vertex shader, and should evaluate to a `vec2` value.\n     * Note: will only be used for point geometry shaders.\n     * @param {string} expression Offset expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setSymbolOffsetExpression = function (expression) {\n        this.offsetExpression = expression;\n        return this;\n    };\n    /**\n     * Sets an expression to compute the color of the shape.\n     * This expression can use all the uniforms, varyings and attributes available\n     * in the fragment shader, and should evaluate to a `vec4` value.\n     * @param {string} expression Color expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setColorExpression = function (expression) {\n        this.colorExpression = expression;\n        return this;\n    };\n    /**\n     * Sets an expression to compute the texture coordinates of the vertices.\n     * This expression can use all the uniforms and attributes available\n     * in the vertex shader, and should evaluate to a `vec4` value.\n     * @param {string} expression Texture coordinate expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setTextureCoordinateExpression = function (expression) {\n        this.texCoordExpression = expression;\n        return this;\n    };\n    /**\n     * Sets an expression to determine whether a fragment (pixel) should be discarded,\n     * i.e. not drawn at all.\n     * This expression can use all the uniforms, varyings and attributes available\n     * in the fragment shader, and should evaluate to a `bool` value (it will be\n     * used in an `if` statement)\n     * @param {string} expression Fragment discard expression\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setFragmentDiscardExpression = function (expression) {\n        this.discardExpression = expression;\n        return this;\n    };\n    /**\n     * Sets whether the symbols should rotate with the view or stay aligned with the map.\n     * Note: will only be used for point geometry shaders.\n     * @param {boolean} rotateWithView Rotate with view\n     * @return {ShaderBuilder} the builder object\n     */\n    ShaderBuilder.prototype.setSymbolRotateWithView = function (rotateWithView) {\n        this.rotateWithView = rotateWithView;\n        return this;\n    };\n    /**\n     * @return {string} Previously set size expression\n     */\n    ShaderBuilder.prototype.getSizeExpression = function () {\n        return this.sizeExpression;\n    };\n    /**\n     * @return {string} Previously set symbol offset expression\n     */\n    ShaderBuilder.prototype.getOffsetExpression = function () {\n        return this.offsetExpression;\n    };\n    /**\n     * @return {string} Previously set color expression\n     */\n    ShaderBuilder.prototype.getColorExpression = function () {\n        return this.colorExpression;\n    };\n    /**\n     * @return {string} Previously set texture coordinate expression\n     */\n    ShaderBuilder.prototype.getTextureCoordinateExpression = function () {\n        return this.texCoordExpression;\n    };\n    /**\n     * @return {string} Previously set fragment discard expression\n     */\n    ShaderBuilder.prototype.getFragmentDiscardExpression = function () {\n        return this.discardExpression;\n    };\n    /**\n     * Generates a symbol vertex shader from the builder parameters,\n     * intended to be used on point geometries.\n     *\n     * Three uniforms are hardcoded in all shaders: `u_projectionMatrix`, `u_offsetScaleMatrix`,\n     * `u_offsetRotateMatrix`, `u_time`.\n     *\n     * The following attributes are hardcoded and expected to be present in the vertex buffers:\n     * `vec2 a_position`, `float a_index` (being the index of the vertex in the quad, 0 to 3).\n     *\n     * The following varyings are hardcoded and gives the coordinate of the pixel both in the quad and on the texture:\n     * `vec2 v_quadCoord`, `vec2 v_texCoord`\n     *\n     * @param {boolean} [forHitDetection] If true, the shader will be modified to include hit detection variables\n     * (namely, hit color with encoded feature id).\n     * @return {string} The full shader as a string.\n     */\n    ShaderBuilder.prototype.getSymbolVertexShader = function (forHitDetection) {\n        var offsetMatrix = this.rotateWithView\n            ? 'u_offsetScaleMatrix * u_offsetRotateMatrix'\n            : 'u_offsetScaleMatrix';\n        var attributes = this.attributes;\n        var varyings = this.varyings;\n        if (forHitDetection) {\n            attributes = attributes.concat('vec4 a_hitColor');\n            varyings = varyings.concat({\n                name: 'v_hitColor',\n                type: 'vec4',\n                expression: 'a_hitColor',\n            });\n        }\n        return \"precision mediump float;\\nuniform mat4 u_projectionMatrix;\\nuniform mat4 u_offsetScaleMatrix;\\nuniform mat4 u_offsetRotateMatrix;\\nuniform float u_time;\\nuniform float u_zoom;\\nuniform float u_resolution;\\n\" + this.uniforms\n            .map(function (uniform) {\n            return 'uniform ' + uniform + ';';\n        })\n            .join('\\n') + \"\\nattribute vec2 a_position;\\nattribute float a_index;\\n\" + attributes\n            .map(function (attribute) {\n            return 'attribute ' + attribute + ';';\n        })\n            .join('\\n') + \"\\nvarying vec2 v_texCoord;\\nvarying vec2 v_quadCoord;\\n\" + varyings\n            .map(function (varying) {\n            return 'varying ' + varying.type + ' ' + varying.name + ';';\n        })\n            .join('\\n') + \"\\nvoid main(void) {\\n  mat4 offsetMatrix = \" + offsetMatrix + \";\\n  vec2 halfSize = \" + this.sizeExpression + \" * 0.5;\\n  vec2 offset = \" + this.offsetExpression + \";\\n  float angle = \" + this.rotationExpression + \";\\n  float offsetX;\\n  float offsetY;\\n  if (a_index == 0.0) {\\n    offsetX = (offset.x - halfSize.x) * cos(angle) + (offset.y - halfSize.y) * sin(angle);\\n    offsetY = (offset.y - halfSize.y) * cos(angle) - (offset.x - halfSize.x) * sin(angle);\\n  } else if (a_index == 1.0) {\\n    offsetX = (offset.x + halfSize.x) * cos(angle) + (offset.y - halfSize.y) * sin(angle);\\n    offsetY = (offset.y - halfSize.y) * cos(angle) - (offset.x + halfSize.x) * sin(angle);\\n  } else if (a_index == 2.0) {\\n    offsetX = (offset.x + halfSize.x) * cos(angle) + (offset.y + halfSize.y) * sin(angle);\\n    offsetY = (offset.y + halfSize.y) * cos(angle) - (offset.x + halfSize.x) * sin(angle);\\n  } else {\\n    offsetX = (offset.x - halfSize.x) * cos(angle) + (offset.y + halfSize.y) * sin(angle);\\n    offsetY = (offset.y + halfSize.y) * cos(angle) - (offset.x - halfSize.x) * sin(angle);\\n  }\\n  vec4 offsets = offsetMatrix * vec4(offsetX, offsetY, 0.0, 0.0);\\n  gl_Position = u_projectionMatrix * vec4(a_position, 0.0, 1.0) + offsets;\\n  vec4 texCoord = \" + this.texCoordExpression + \";\\n  float u = a_index == 0.0 || a_index == 3.0 ? texCoord.s : texCoord.p;\\n  float v = a_index == 2.0 || a_index == 3.0 ? texCoord.t : texCoord.q;\\n  v_texCoord = vec2(u, v);\\n  u = a_index == 0.0 || a_index == 3.0 ? 0.0 : 1.0;\\n  v = a_index == 2.0 || a_index == 3.0 ? 0.0 : 1.0;\\n  v_quadCoord = vec2(u, v);\\n\" + varyings\n            .map(function (varying) {\n            return '  ' + varying.name + ' = ' + varying.expression + ';';\n        })\n            .join('\\n') + \"\\n}\";\n    };\n    /**\n     * Generates a symbol fragment shader from the builder parameters,\n     * intended to be used on point geometries.\n     *\n     * Expects the following varyings to be transmitted by the vertex shader:\n     * `vec2 v_quadCoord`, `vec2 v_texCoord`\n     *\n     * @param {boolean} [forHitDetection] If true, the shader will be modified to include hit detection variables\n     * (namely, hit color with encoded feature id).\n     * @return {string} The full shader as a string.\n     */\n    ShaderBuilder.prototype.getSymbolFragmentShader = function (forHitDetection) {\n        var hitDetectionBypass = forHitDetection\n            ? '  if (gl_FragColor.a < 0.1) { discard; } gl_FragColor = v_hitColor;'\n            : '';\n        var varyings = this.varyings;\n        if (forHitDetection) {\n            varyings = varyings.concat({\n                name: 'v_hitColor',\n                type: 'vec4',\n                expression: 'a_hitColor',\n            });\n        }\n        return \"precision mediump float;\\nuniform float u_time;\\nuniform float u_zoom;\\nuniform float u_resolution;\\n\" + this.uniforms\n            .map(function (uniform) {\n            return 'uniform ' + uniform + ';';\n        })\n            .join('\\n') + \"\\nvarying vec2 v_texCoord;\\nvarying vec2 v_quadCoord;\\n\" + varyings\n            .map(function (varying) {\n            return 'varying ' + varying.type + ' ' + varying.name + ';';\n        })\n            .join('\\n') + \"\\nvoid main(void) {\\n  if (\" + this.discardExpression + \") { discard; }\\n  gl_FragColor = \" + this.colorExpression + \";\\n  gl_FragColor.rgb *= gl_FragColor.a;\\n\" + hitDetectionBypass + \"\\n}\";\n    };\n    return ShaderBuilder;\n}());\nexport { ShaderBuilder };\n/**\n * @typedef {Object} StyleParseResult\n * @property {ShaderBuilder} builder Shader builder pre-configured according to a given style\n * @property {Object<string,import(\"./Helper\").UniformValue>} uniforms Uniform definitions.\n * @property {Array<import(\"../renderer/webgl/PointsLayer\").CustomAttribute>} attributes Attribute descriptions.\n */\n/**\n * Parses a {@link import(\"../style/literal\").LiteralStyle} object and returns a {@link ShaderBuilder}\n * object that has been configured according to the given style, as well as `attributes` and `uniforms`\n * arrays to be fed to the `WebGLPointsRenderer` class.\n *\n * Also returns `uniforms` and `attributes` properties as expected by the\n * {@link module:ol/renderer/webgl/PointsLayer~WebGLPointsLayerRenderer}.\n *\n * @param {import(\"../style/literal\").LiteralStyle} style Literal style.\n * @return {StyleParseResult} Result containing shader params, attributes and uniforms.\n */\nexport function parseLiteralStyle(style) {\n    var symbStyle = style.symbol;\n    var size = symbStyle.size !== undefined ? symbStyle.size : 1;\n    var color = symbStyle.color || 'white';\n    var texCoord = symbStyle.textureCoord || [0, 0, 1, 1];\n    var offset = symbStyle.offset || [0, 0];\n    var opacity = symbStyle.opacity !== undefined ? symbStyle.opacity : 1;\n    var rotation = symbStyle.rotation !== undefined ? symbStyle.rotation : 0;\n    /**\n     * @type {import(\"../style/expressions.js\").ParsingContext}\n     */\n    var vertContext = {\n        inFragmentShader: false,\n        variables: [],\n        attributes: [],\n        stringLiteralsMap: {},\n        functions: {},\n    };\n    var parsedSize = expressionToGlsl(vertContext, size, ValueTypes.NUMBER_ARRAY | ValueTypes.NUMBER);\n    var parsedOffset = expressionToGlsl(vertContext, offset, ValueTypes.NUMBER_ARRAY);\n    var parsedTexCoord = expressionToGlsl(vertContext, texCoord, ValueTypes.NUMBER_ARRAY);\n    var parsedRotation = expressionToGlsl(vertContext, rotation, ValueTypes.NUMBER);\n    /**\n     * @type {import(\"../style/expressions.js\").ParsingContext}\n     */\n    var fragContext = {\n        inFragmentShader: true,\n        variables: vertContext.variables,\n        attributes: [],\n        stringLiteralsMap: vertContext.stringLiteralsMap,\n        functions: {},\n    };\n    var parsedColor = expressionToGlsl(fragContext, color, ValueTypes.COLOR);\n    var parsedOpacity = expressionToGlsl(fragContext, opacity, ValueTypes.NUMBER);\n    var opacityFilter = '1.0';\n    var visibleSize = \"vec2(\" + expressionToGlsl(fragContext, size, ValueTypes.NUMBER_ARRAY | ValueTypes.NUMBER) + \").x\";\n    switch (symbStyle.symbolType) {\n        case 'square':\n            break;\n        case 'image':\n            break;\n        // taken from https://thebookofshaders.com/07/\n        case 'circle':\n            opacityFilter = \"(1.0-smoothstep(1.-4./\" + visibleSize + \",1.,dot(v_quadCoord-.5,v_quadCoord-.5)*4.))\";\n            break;\n        case 'triangle':\n            var st = '(v_quadCoord*2.-1.)';\n            var a = \"(atan(\" + st + \".x,\" + st + \".y))\";\n            opacityFilter = \"(1.0-smoothstep(.5-3./\" + visibleSize + \",.5,cos(floor(.5+\" + a + \"/2.094395102)*2.094395102-\" + a + \")*length(\" + st + \")))\";\n            break;\n        default:\n            throw new Error('Unexpected symbol type: ' + symbStyle.symbolType);\n    }\n    var builder = new ShaderBuilder()\n        .setSizeExpression(\"vec2(\" + parsedSize + \")\")\n        .setRotationExpression(parsedRotation)\n        .setSymbolOffsetExpression(parsedOffset)\n        .setTextureCoordinateExpression(parsedTexCoord)\n        .setSymbolRotateWithView(!!symbStyle.rotateWithView)\n        .setColorExpression(\"vec4(\" + parsedColor + \".rgb, \" + parsedColor + \".a * \" + parsedOpacity + \" * \" + opacityFilter + \")\");\n    if (style.filter) {\n        var parsedFilter = expressionToGlsl(fragContext, style.filter, ValueTypes.BOOLEAN);\n        builder.setFragmentDiscardExpression(\"!\" + parsedFilter);\n    }\n    /** @type {Object<string,import(\"../webgl/Helper\").UniformValue>} */\n    var uniforms = {};\n    // define one uniform per variable\n    fragContext.variables.forEach(function (varName) {\n        var uniformName = uniformNameForVariable(varName);\n        builder.addUniform(\"float \" + uniformName);\n        uniforms[uniformName] = function () {\n            if (!style.variables || style.variables[varName] === undefined) {\n                throw new Error(\"The following variable is missing from the style: \" + varName);\n            }\n            var value = style.variables[varName];\n            if (typeof value === 'string') {\n                value = getStringNumberEquivalent(vertContext, value);\n            }\n            return value !== undefined ? value : -9999999; // to avoid matching with the first string literal\n        };\n    });\n    if (symbStyle.symbolType === 'image' && symbStyle.src) {\n        var texture = new Image();\n        texture.src = symbStyle.src;\n        builder\n            .addUniform('sampler2D u_texture')\n            .setColorExpression(builder.getColorExpression() + ' * texture2D(u_texture, v_texCoord)');\n        uniforms['u_texture'] = texture;\n    }\n    // for each feature attribute used in the fragment shader, define a varying that will be used to pass data\n    // from the vertex to the fragment shader, as well as an attribute in the vertex shader (if not already present)\n    fragContext.attributes.forEach(function (attrName) {\n        if (vertContext.attributes.indexOf(attrName) === -1) {\n            vertContext.attributes.push(attrName);\n        }\n        builder.addVarying(\"v_\" + attrName, 'float', \"a_\" + attrName);\n    });\n    // for each feature attribute used in the vertex shader, define an attribute in the vertex shader.\n    vertContext.attributes.forEach(function (attrName) {\n        builder.addAttribute(\"float a_\" + attrName);\n    });\n    return {\n        builder: builder,\n        attributes: vertContext.attributes.map(function (attributeName) {\n            return {\n                name: attributeName,\n                callback: function (feature, props) {\n                    var value = props[attributeName];\n                    if (typeof value === 'string') {\n                        value = getStringNumberEquivalent(vertContext, value);\n                    }\n                    return value !== undefined ? value : -9999999; // to avoid matching with the first string literal\n                },\n            };\n        }),\n        uniforms: uniforms,\n    };\n}\n//# sourceMappingURL=ShaderBuilder.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/layer/WebGLPoints\n */\nimport Layer from './Layer.js';\nimport WebGLPointsLayerRenderer from '../renderer/webgl/PointsLayer.js';\nimport { assign } from '../obj.js';\nimport { parseLiteralStyle } from '../webgl/ShaderBuilder.js';\n/**\n * @template {import(\"../source/Vector.js\").default} VectorSourceType\n * @typedef {Object} Options\n * @property {import('../style/literal.js').LiteralStyle} style Literal style to apply to the layer features.\n * @property {string} [className='ol-layer'] A CSS class name to set to the layer element.\n * @property {number} [opacity=1] Opacity (0, 1).\n * @property {boolean} [visible=true] Visibility.\n * @property {import(\"../extent.js\").Extent} [extent] The bounding extent for layer rendering.  The layer will not be\n * rendered outside of this extent.\n * @property {number} [zIndex] The z-index for layer rendering.  At rendering time, the layers\n * will be ordered, first by Z-index and then by position. When `undefined`, a `zIndex` of 0 is assumed\n * for layers that are added to the map's `layers` collection, or `Infinity` when the layer's `setMap()`\n * method was used.\n * @property {number} [minResolution] The minimum resolution (inclusive) at which this layer will be\n * visible.\n * @property {number} [maxResolution] The maximum resolution (exclusive) below which this layer will\n * be visible.\n * @property {number} [minZoom] The minimum view zoom level (exclusive) above which this layer will be\n * visible.\n * @property {number} [maxZoom] The maximum view zoom level (inclusive) at which this layer will\n * be visible.\n * @property {VectorSourceType} [source] Source.\n * @property {boolean} [disableHitDetection=false] Setting this to true will provide a slight performance boost, but will\n * prevent all hit detection on the layer.\n * @property {Object<string, *>} [properties] Arbitrary observable properties. Can be accessed with `#get()` and `#set()`.\n */\n/**\n * @classdesc\n * Layer optimized for rendering large point datasets. Takes a `style` property which\n * is a serializable JSON object describing how the layer should be rendered.\n *\n * Here are a few samples of literal style objects:\n * ```js\n * const style = {\n *   symbol: {\n *     symbolType: 'circle',\n *     size: 8,\n *     color: '#33AAFF',\n *     opacity: 0.9\n *   }\n * }\n * ```\n *\n * ```js\n * const style = {\n *   symbol: {\n *     symbolType: 'image',\n *     offset: [0, 12],\n *     size: [4, 8],\n *     src: '../static/exclamation-mark.png'\n *   }\n * }\n * ```\n *\n * **Important: a `WebGLPoints` layer must be manually disposed when removed, otherwise the underlying WebGL context\n * will not be garbage collected.**\n *\n * Note that any property set in the options is set as a {@link module:ol/Object~BaseObject}\n * property on the layer object; for example, setting `title: 'My Title'` in the\n * options means that `title` is observable, and has get/set accessors.\n *\n * @template {import(\"../source/Vector.js\").default} VectorSourceType\n * @extends {Layer<VectorSourceType, WebGLPointsLayerRenderer>}\n * @fires import(\"../render/Event.js\").RenderEvent\n */\nvar WebGLPointsLayer = /** @class */ (function (_super) {\n    __extends(WebGLPointsLayer, _super);\n    /**\n     * @param {Options<VectorSourceType>} options Options.\n     */\n    function WebGLPointsLayer(options) {\n        var _this = this;\n        var baseOptions = assign({}, options);\n        _this = _super.call(this, baseOptions) || this;\n        /**\n         * @private\n         * @type {import('../webgl/ShaderBuilder.js').StyleParseResult}\n         */\n        _this.parseResult_ = parseLiteralStyle(options.style);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.hitDetectionDisabled_ = !!options.disableHitDetection;\n        return _this;\n    }\n    WebGLPointsLayer.prototype.createRenderer = function () {\n        return new WebGLPointsLayerRenderer(this, {\n            vertexShader: this.parseResult_.builder.getSymbolVertexShader(),\n            fragmentShader: this.parseResult_.builder.getSymbolFragmentShader(),\n            hitVertexShader: !this.hitDetectionDisabled_ &&\n                this.parseResult_.builder.getSymbolVertexShader(true),\n            hitFragmentShader: !this.hitDetectionDisabled_ &&\n                this.parseResult_.builder.getSymbolFragmentShader(true),\n            uniforms: this.parseResult_.uniforms,\n            attributes: this.parseResult_.attributes,\n        });\n    };\n    return WebGLPointsLayer;\n}(Layer));\nexport default WebGLPointsLayer;\n//# sourceMappingURL=WebGLPoints.js.map","/**\n * @module ol/source/BingMaps\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport SourceState from './State.js';\nimport TileImage from './TileImage.js';\nimport { applyTransform, intersects } from '../extent.js';\nimport { createFromTileUrlFunctions } from '../tileurlfunction.js';\nimport { createOrUpdate } from '../tilecoord.js';\nimport { createXYZ, extentFromProjection } from '../tilegrid.js';\nimport { get as getProjection, getTransformFromProjections } from '../proj.js';\nimport { jsonp as requestJSONP } from '../net.js';\n/**\n * @param {import('../tilecoord.js').TileCoord} tileCoord Tile coord.\n * @return {string} Quad key.\n */\nexport function quadKey(tileCoord) {\n    var z = tileCoord[0];\n    var digits = new Array(z);\n    var mask = 1 << (z - 1);\n    var i, charCode;\n    for (i = 0; i < z; ++i) {\n        // 48 is charCode for 0 - '0'.charCodeAt(0)\n        charCode = 48;\n        if (tileCoord[1] & mask) {\n            charCode += 1;\n        }\n        if (tileCoord[2] & mask) {\n            charCode += 2;\n        }\n        digits[i] = String.fromCharCode(charCode);\n        mask >>= 1;\n    }\n    return digits.join('');\n}\n/**\n * The attribution containing a link to the Microsoft® Bing™ Maps Platform APIs’\n * Terms Of Use.\n * @const\n * @type {string}\n */\nvar TOS_ATTRIBUTION = '<a class=\"ol-attribution-bing-tos\" ' +\n    'href=\"https://www.microsoft.com/maps/product/terms.html\" target=\"_blank\">' +\n    'Terms of Use</a>';\n/**\n * @typedef {Object} Options\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least the number of tiles in the viewport.\n * @property {boolean} [hidpi=false] If `true` hidpi tiles will be requested.\n * @property {string} [culture='en-us'] Culture code.\n * @property {string} key Bing Maps API key. Get yours at https://www.bingmapsportal.com/.\n * @property {string} imagerySet Type of imagery.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {number} [maxZoom=21] Max zoom. Default is what's advertized by the BingMaps service.\n * @property {number} [reprojectionErrorThreshold=0.5] Maximum allowed reprojection error (in pixels).\n * Higher values can increase reprojection performance, but decrease precision.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction] Optional function to load a tile given a URL. The default is\n * ```js\n * function(imageTile, src) {\n *   imageTile.getImage().src = src;\n * };\n * ```\n * @property {boolean} [wrapX=true] Whether to wrap the world horizontally.\n * @property {number} [transition] Duration of the opacity transition for rendering.\n * To disable the opacity transition, pass `transition: 0`.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @typedef {Object} BingMapsImageryMetadataResponse\n * @property {number} statusCode The response status code\n * @property {string} statusDescription The response status description\n * @property {string} authenticationResultCode The authentication result code\n * @property {Array<ResourceSet>} resourceSets The array of resource sets\n */\n/**\n * @typedef {Object} ResourceSet\n * @property {Array<Resource>} resources Resources.\n */\n/**\n * @typedef {Object} Resource\n * @property {number} imageHeight The image height\n * @property {number} imageWidth The image width\n * @property {number} zoomMin The minimum zoom level\n * @property {number} zoomMax The maximum zoom level\n * @property {string} imageUrl The image URL\n * @property {Array<string>} imageUrlSubdomains The image URL subdomains for rotation\n * @property {Array<ImageryProvider>} [imageryProviders] The array of ImageryProviders\n */\n/**\n * @typedef {Object} ImageryProvider\n * @property {Array<CoverageArea>} coverageAreas The coverage areas\n * @property {string} [attribution] The attribution\n */\n/**\n * @typedef {Object} CoverageArea\n * @property {number} zoomMin The minimum zoom\n * @property {number} zoomMax The maximum zoom\n * @property {Array<number>} bbox The coverage bounding box\n */\n/**\n * @classdesc\n * Layer source for Bing Maps tile data.\n * @api\n */\nvar BingMaps = /** @class */ (function (_super) {\n    __extends(BingMaps, _super);\n    /**\n     * @param {Options} options Bing Maps options.\n     */\n    function BingMaps(options) {\n        var _this = this;\n        var hidpi = options.hidpi !== undefined ? options.hidpi : false;\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        _this = _super.call(this, {\n            cacheSize: options.cacheSize,\n            crossOrigin: 'anonymous',\n            interpolate: interpolate,\n            opaque: true,\n            projection: getProjection('EPSG:3857'),\n            reprojectionErrorThreshold: options.reprojectionErrorThreshold,\n            state: SourceState.LOADING,\n            tileLoadFunction: options.tileLoadFunction,\n            tilePixelRatio: hidpi ? 2 : 1,\n            wrapX: options.wrapX !== undefined ? options.wrapX : true,\n            transition: options.transition,\n            zDirection: options.zDirection,\n        }) || this;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.hidpi_ = hidpi;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.culture_ = options.culture !== undefined ? options.culture : 'en-us';\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.maxZoom_ = options.maxZoom !== undefined ? options.maxZoom : -1;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.apiKey_ = options.key;\n        /**\n         * @private\n         * @type {string}\n         */\n        _this.imagerySet_ = options.imagerySet;\n        var url = 'https://dev.virtualearth.net/REST/v1/Imagery/Metadata/' +\n            _this.imagerySet_ +\n            '?uriScheme=https&include=ImageryProviders&key=' +\n            _this.apiKey_ +\n            '&c=' +\n            _this.culture_;\n        requestJSONP(url, _this.handleImageryMetadataResponse.bind(_this), undefined, 'jsonp');\n        return _this;\n    }\n    /**\n     * Get the api key used for this source.\n     *\n     * @return {string} The api key.\n     * @api\n     */\n    BingMaps.prototype.getApiKey = function () {\n        return this.apiKey_;\n    };\n    /**\n     * Get the imagery set associated with this source.\n     *\n     * @return {string} The imagery set.\n     * @api\n     */\n    BingMaps.prototype.getImagerySet = function () {\n        return this.imagerySet_;\n    };\n    /**\n     * @param {BingMapsImageryMetadataResponse} response Response.\n     */\n    BingMaps.prototype.handleImageryMetadataResponse = function (response) {\n        if (response.statusCode != 200 ||\n            response.statusDescription != 'OK' ||\n            response.authenticationResultCode != 'ValidCredentials' ||\n            response.resourceSets.length != 1 ||\n            response.resourceSets[0].resources.length != 1) {\n            this.setState(SourceState.ERROR);\n            return;\n        }\n        var resource = response.resourceSets[0].resources[0];\n        var maxZoom = this.maxZoom_ == -1 ? resource.zoomMax : this.maxZoom_;\n        var sourceProjection = this.getProjection();\n        var extent = extentFromProjection(sourceProjection);\n        var scale = this.hidpi_ ? 2 : 1;\n        var tileSize = resource.imageWidth == resource.imageHeight\n            ? resource.imageWidth / scale\n            : [resource.imageWidth / scale, resource.imageHeight / scale];\n        var tileGrid = createXYZ({\n            extent: extent,\n            minZoom: resource.zoomMin,\n            maxZoom: maxZoom,\n            tileSize: tileSize,\n        });\n        this.tileGrid = tileGrid;\n        var culture = this.culture_;\n        var hidpi = this.hidpi_;\n        this.tileUrlFunction = createFromTileUrlFunctions(resource.imageUrlSubdomains.map(function (subdomain) {\n            /** @type {import('../tilecoord.js').TileCoord} */\n            var quadKeyTileCoord = [0, 0, 0];\n            var imageUrl = resource.imageUrl\n                .replace('{subdomain}', subdomain)\n                .replace('{culture}', culture);\n            return (\n            /**\n             * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n             * @param {number} pixelRatio Pixel ratio.\n             * @param {import(\"../proj/Projection.js\").default} projection Projection.\n             * @return {string|undefined} Tile URL.\n             */\n            function (tileCoord, pixelRatio, projection) {\n                if (!tileCoord) {\n                    return undefined;\n                }\n                else {\n                    createOrUpdate(tileCoord[0], tileCoord[1], tileCoord[2], quadKeyTileCoord);\n                    var url = imageUrl;\n                    if (hidpi) {\n                        url += '&dpi=d1&device=mobile';\n                    }\n                    return url.replace('{quadkey}', quadKey(quadKeyTileCoord));\n                }\n            });\n        }));\n        if (resource.imageryProviders) {\n            var transform_1 = getTransformFromProjections(getProjection('EPSG:4326'), this.getProjection());\n            this.setAttributions(function (frameState) {\n                var attributions = [];\n                var viewState = frameState.viewState;\n                var tileGrid = this.getTileGrid();\n                var z = tileGrid.getZForResolution(viewState.resolution, this.zDirection);\n                var tileCoord = tileGrid.getTileCoordForCoordAndZ(viewState.center, z);\n                var zoom = tileCoord[0];\n                resource.imageryProviders.map(function (imageryProvider) {\n                    var intersecting = false;\n                    var coverageAreas = imageryProvider.coverageAreas;\n                    for (var i = 0, ii = coverageAreas.length; i < ii; ++i) {\n                        var coverageArea = coverageAreas[i];\n                        if (zoom >= coverageArea.zoomMin &&\n                            zoom <= coverageArea.zoomMax) {\n                            var bbox = coverageArea.bbox;\n                            var epsg4326Extent = [bbox[1], bbox[0], bbox[3], bbox[2]];\n                            var extent_1 = applyTransform(epsg4326Extent, transform_1);\n                            if (intersects(extent_1, frameState.extent)) {\n                                intersecting = true;\n                                break;\n                            }\n                        }\n                    }\n                    if (intersecting) {\n                        attributions.push(imageryProvider.attribution);\n                    }\n                });\n                attributions.push(TOS_ATTRIBUTION);\n                return attributions;\n            }.bind(this));\n        }\n        this.setState(SourceState.READY);\n    };\n    return BingMaps;\n}(TileImage));\nexport default BingMaps;\n//# sourceMappingURL=BingMaps.js.map","/**\n * @module ol/source/XYZ\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport TileImage from './TileImage.js';\nimport { createXYZ, extentFromProjection } from '../tilegrid.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least the number of tiles in the viewport.\n * @property {null|string} [crossOrigin] The `crossOrigin` attribute for loaded images.  Note that\n * you must provide a `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {boolean} [opaque=false] Whether the layer is opaque.\n * @property {import(\"../proj.js\").ProjectionLike} [projection='EPSG:3857'] Projection.\n * @property {number} [reprojectionErrorThreshold=0.5] Maximum allowed reprojection error (in pixels).\n * Higher values can increase reprojection performance, but decrease precision.\n * @property {number} [maxZoom=42] Optional max zoom level. Not used if `tileGrid` is provided.\n * @property {number} [minZoom=0] Optional min zoom level. Not used if `tileGrid` is provided.\n * @property {number} [maxResolution] Optional tile grid resolution at level zero. Not used if `tileGrid` is provided.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] Tile grid.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction] Optional function to load a tile given a URL. The default is\n * ```js\n * function(imageTile, src) {\n *   imageTile.getImage().src = src;\n * };\n * ```\n * @property {number} [tilePixelRatio=1] The pixel ratio used by the tile service.\n * For example, if the tile service advertizes 256px by 256px tiles but actually sends 512px\n * by 512px images (for retina/hidpi devices) then `tilePixelRatio`\n * should be set to `2`.\n * @property {number|import(\"../size.js\").Size} [tileSize=[256, 256]] The tile size used by the tile service.\n * Not used if `tileGrid` is provided.\n * @property {import(\"../Tile.js\").UrlFunction} [tileUrlFunction] Optional function to get\n * tile URL given a tile coordinate and the projection.\n * Required if `url` or `urls` are not provided.\n * @property {string} [url] URL template. Must include `{x}`, `{y}` or `{-y}`,\n * and `{z}` placeholders. A `{?-?}` template pattern, for example `subdomain{a-f}.domain.com`,\n * may be used instead of defining each one separately in the `urls` option.\n * @property {Array<string>} [urls] An array of URL templates.\n * @property {boolean} [wrapX=true] Whether to wrap the world horizontally.\n * @property {number} [transition=250] Duration of the opacity transition for rendering.\n * To disable the opacity transition, pass `transition: 0`.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @classdesc\n * Layer source for tile data with URLs in a set XYZ format that are\n * defined in a URL template. By default, this follows the widely-used\n * Google grid where `x` 0 and `y` 0 are in the top left. Grids like\n * TMS where `x` 0 and `y` 0 are in the bottom left can be used by\n * using the `{-y}` placeholder in the URL template, so long as the\n * source does not have a custom tile grid. In this case\n * a `tileUrlFunction` can be used, such as:\n * ```js\n *  tileUrlFunction: function(coordinate) {\n *    return 'http://mapserver.com/' + coordinate[0] + '/' +\n *      coordinate[1] + '/' + (-coordinate[2] - 1) + '.png';\n *  }\n * ```\n * @api\n */\nvar XYZ = /** @class */ (function (_super) {\n    __extends(XYZ, _super);\n    /**\n     * @param {Options} [opt_options] XYZ options.\n     */\n    function XYZ(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        var projection = options.projection !== undefined ? options.projection : 'EPSG:3857';\n        var tileGrid = options.tileGrid !== undefined\n            ? options.tileGrid\n            : createXYZ({\n                extent: extentFromProjection(projection),\n                maxResolution: options.maxResolution,\n                maxZoom: options.maxZoom,\n                minZoom: options.minZoom,\n                tileSize: options.tileSize,\n            });\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            cacheSize: options.cacheSize,\n            crossOrigin: options.crossOrigin,\n            interpolate: interpolate,\n            opaque: options.opaque,\n            projection: projection,\n            reprojectionErrorThreshold: options.reprojectionErrorThreshold,\n            tileGrid: tileGrid,\n            tileLoadFunction: options.tileLoadFunction,\n            tilePixelRatio: options.tilePixelRatio,\n            tileUrlFunction: options.tileUrlFunction,\n            url: options.url,\n            urls: options.urls,\n            wrapX: options.wrapX !== undefined ? options.wrapX : true,\n            transition: options.transition,\n            attributionsCollapsible: options.attributionsCollapsible,\n            zDirection: options.zDirection,\n        }) || this;\n        return _this;\n    }\n    return XYZ;\n}(TileImage));\nexport default XYZ;\n//# sourceMappingURL=XYZ.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/reproj/Image\n */\nimport { ERROR_THRESHOLD } from './common.js';\nimport EventType from '../events/EventType.js';\nimport ImageBase from '../ImageBase.js';\nimport ImageState from '../ImageState.js';\nimport Triangulation from './Triangulation.js';\nimport { calculateSourceResolution, render as renderReprojected, } from '../reproj.js';\nimport { getCenter, getHeight, getIntersection, getWidth } from '../extent.js';\nimport { listen, unlistenByKey } from '../events.js';\n/**\n * @typedef {function(import(\"../extent.js\").Extent, number, number) : import(\"../ImageBase.js\").default} FunctionType\n */\n/**\n * @classdesc\n * Class encapsulating single reprojected image.\n * See {@link module:ol/source/Image~ImageSource}.\n */\nvar ReprojImage = /** @class */ (function (_super) {\n    __extends(ReprojImage, _super);\n    /**\n     * @param {import(\"../proj/Projection.js\").default} sourceProj Source projection (of the data).\n     * @param {import(\"../proj/Projection.js\").default} targetProj Target projection.\n     * @param {import(\"../extent.js\").Extent} targetExtent Target extent.\n     * @param {number} targetResolution Target resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {FunctionType} getImageFunction\n     *     Function returning source images (extent, resolution, pixelRatio).\n     * @param {boolean} interpolate Use linear interpolation when resampling.\n     */\n    function ReprojImage(sourceProj, targetProj, targetExtent, targetResolution, pixelRatio, getImageFunction, interpolate) {\n        var _this = this;\n        var maxSourceExtent = sourceProj.getExtent();\n        var maxTargetExtent = targetProj.getExtent();\n        var limitedTargetExtent = maxTargetExtent\n            ? getIntersection(targetExtent, maxTargetExtent)\n            : targetExtent;\n        var targetCenter = getCenter(limitedTargetExtent);\n        var sourceResolution = calculateSourceResolution(sourceProj, targetProj, targetCenter, targetResolution);\n        var errorThresholdInPixels = ERROR_THRESHOLD;\n        var triangulation = new Triangulation(sourceProj, targetProj, limitedTargetExtent, maxSourceExtent, sourceResolution * errorThresholdInPixels, targetResolution);\n        var sourceExtent = triangulation.calculateSourceExtent();\n        var sourceImage = getImageFunction(sourceExtent, sourceResolution, pixelRatio);\n        var state = sourceImage ? ImageState.IDLE : ImageState.EMPTY;\n        var sourcePixelRatio = sourceImage ? sourceImage.getPixelRatio() : 1;\n        _this = _super.call(this, targetExtent, targetResolution, sourcePixelRatio, state) || this;\n        /**\n         * @private\n         * @type {import(\"../proj/Projection.js\").default}\n         */\n        _this.targetProj_ = targetProj;\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        _this.maxSourceExtent_ = maxSourceExtent;\n        /**\n         * @private\n         * @type {!import(\"./Triangulation.js\").default}\n         */\n        _this.triangulation_ = triangulation;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.targetResolution_ = targetResolution;\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        _this.targetExtent_ = targetExtent;\n        /**\n         * @private\n         * @type {import(\"../ImageBase.js\").default}\n         */\n        _this.sourceImage_ = sourceImage;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.sourcePixelRatio_ = sourcePixelRatio;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.interpolate_ = interpolate;\n        /**\n         * @private\n         * @type {HTMLCanvasElement}\n         */\n        _this.canvas_ = null;\n        /**\n         * @private\n         * @type {?import(\"../events.js\").EventsKey}\n         */\n        _this.sourceListenerKey_ = null;\n        return _this;\n    }\n    /**\n     * Clean up.\n     */\n    ReprojImage.prototype.disposeInternal = function () {\n        if (this.state == ImageState.LOADING) {\n            this.unlistenSource_();\n        }\n        _super.prototype.disposeInternal.call(this);\n    };\n    /**\n     * @return {HTMLCanvasElement} Image.\n     */\n    ReprojImage.prototype.getImage = function () {\n        return this.canvas_;\n    };\n    /**\n     * @return {import(\"../proj/Projection.js\").default} Projection.\n     */\n    ReprojImage.prototype.getProjection = function () {\n        return this.targetProj_;\n    };\n    /**\n     * @private\n     */\n    ReprojImage.prototype.reproject_ = function () {\n        var sourceState = this.sourceImage_.getState();\n        if (sourceState == ImageState.LOADED) {\n            var width = getWidth(this.targetExtent_) / this.targetResolution_;\n            var height = getHeight(this.targetExtent_) / this.targetResolution_;\n            this.canvas_ = renderReprojected(width, height, this.sourcePixelRatio_, this.sourceImage_.getResolution(), this.maxSourceExtent_, this.targetResolution_, this.targetExtent_, this.triangulation_, [\n                {\n                    extent: this.sourceImage_.getExtent(),\n                    image: this.sourceImage_.getImage(),\n                },\n            ], 0, undefined, this.interpolate_);\n        }\n        this.state = sourceState;\n        this.changed();\n    };\n    /**\n     * Load not yet loaded URI.\n     */\n    ReprojImage.prototype.load = function () {\n        if (this.state == ImageState.IDLE) {\n            this.state = ImageState.LOADING;\n            this.changed();\n            var sourceState = this.sourceImage_.getState();\n            if (sourceState == ImageState.LOADED || sourceState == ImageState.ERROR) {\n                this.reproject_();\n            }\n            else {\n                this.sourceListenerKey_ = listen(this.sourceImage_, EventType.CHANGE, function (e) {\n                    var sourceState = this.sourceImage_.getState();\n                    if (sourceState == ImageState.LOADED ||\n                        sourceState == ImageState.ERROR) {\n                        this.unlistenSource_();\n                        this.reproject_();\n                    }\n                }, this);\n                this.sourceImage_.load();\n            }\n        }\n    };\n    /**\n     * @private\n     */\n    ReprojImage.prototype.unlistenSource_ = function () {\n        unlistenByKey(\n        /** @type {!import(\"../events.js\").EventsKey} */ (this.sourceListenerKey_));\n        this.sourceListenerKey_ = null;\n    };\n    return ReprojImage;\n}(ImageBase));\nexport default ReprojImage;\n//# sourceMappingURL=Image.js.map","var __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\n/**\n * @module ol/source/Image\n */\nimport Event from '../events/Event.js';\nimport ImageState from '../ImageState.js';\nimport ReprojImage from '../reproj/Image.js';\nimport Source from './Source.js';\nimport { ENABLE_RASTER_REPROJECTION } from '../reproj/common.js';\nimport { abstract } from '../util.js';\nimport { equals } from '../extent.js';\nimport { equivalent } from '../proj.js';\nimport { linearFindNearest } from '../array.js';\n/**\n * @enum {string}\n */\nexport var ImageSourceEventType = {\n    /**\n     * Triggered when an image starts loading.\n     * @event module:ol/source/Image.ImageSourceEvent#imageloadstart\n     * @api\n     */\n    IMAGELOADSTART: 'imageloadstart',\n    /**\n     * Triggered when an image finishes loading.\n     * @event module:ol/source/Image.ImageSourceEvent#imageloadend\n     * @api\n     */\n    IMAGELOADEND: 'imageloadend',\n    /**\n     * Triggered if image loading results in an error.\n     * @event module:ol/source/Image.ImageSourceEvent#imageloaderror\n     * @api\n     */\n    IMAGELOADERROR: 'imageloaderror',\n};\n/**\n * @typedef {'imageloadend'|'imageloaderror'|'imageloadstart'} ImageSourceEventTypes\n */\n/**\n * @classdesc\n * Events emitted by {@link module:ol/source/Image~ImageSource} instances are instances of this\n * type.\n */\nvar ImageSourceEvent = /** @class */ (function (_super) {\n    __extends(ImageSourceEvent, _super);\n    /**\n     * @param {string} type Type.\n     * @param {import(\"../Image.js\").default} image The image.\n     */\n    function ImageSourceEvent(type, image) {\n        var _this = _super.call(this, type) || this;\n        /**\n         * The image related to the event.\n         * @type {import(\"../Image.js\").default}\n         * @api\n         */\n        _this.image = image;\n        return _this;\n    }\n    return ImageSourceEvent;\n}(Event));\nexport { ImageSourceEvent };\n/***\n * @template Return\n * @typedef {import(\"../Observable\").OnSignature<import(\"../Observable\").EventTypes, import(\"../events/Event.js\").default, Return> &\n *   import(\"../Observable\").OnSignature<import(\"../ObjectEventType\").Types, import(\"../Object\").ObjectEvent, Return> &\n *   import(\"../Observable\").OnSignature<ImageSourceEventTypes, ImageSourceEvent, Return> &\n *   import(\"../Observable\").CombinedOnSignature<import(\"../Observable\").EventTypes|import(\"../ObjectEventType\").Types\n *     |ImageSourceEventTypes, Return>} ImageSourceOnSignature\n */\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection.\n * @property {Array<number>} [resolutions] Resolutions.\n * @property {import(\"./State.js\").default} [state] State.\n */\n/**\n * @classdesc\n * Abstract base class; normally only used for creating subclasses and not\n * instantiated in apps.\n * Base class for sources providing a single image.\n * @abstract\n * @fires module:ol/source/Image.ImageSourceEvent\n * @api\n */\nvar ImageSource = /** @class */ (function (_super) {\n    __extends(ImageSource, _super);\n    /**\n     * @param {Options} options Single image source options.\n     */\n    function ImageSource(options) {\n        var _this = this;\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            projection: options.projection,\n            state: options.state,\n            interpolate: interpolate,\n        }) || this;\n        /***\n         * @type {ImageSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.on;\n        /***\n         * @type {ImageSourceOnSignature<import(\"../events\").EventsKey>}\n         */\n        _this.once;\n        /***\n         * @type {ImageSourceOnSignature<void>}\n         */\n        _this.un;\n        /**\n         * @private\n         * @type {Array<number>}\n         */\n        _this.resolutions_ =\n            options.resolutions !== undefined ? options.resolutions : null;\n        /**\n         * @private\n         * @type {import(\"../reproj/Image.js\").default}\n         */\n        _this.reprojectedImage_ = null;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.reprojectedRevision_ = 0;\n        return _this;\n    }\n    /**\n     * @return {Array<number>} Resolutions.\n     */\n    ImageSource.prototype.getResolutions = function () {\n        return this.resolutions_;\n    };\n    /**\n     * @protected\n     * @param {number} resolution Resolution.\n     * @return {number} Resolution.\n     */\n    ImageSource.prototype.findNearestResolution = function (resolution) {\n        if (this.resolutions_) {\n            var idx = linearFindNearest(this.resolutions_, resolution, 0);\n            resolution = this.resolutions_[idx];\n        }\n        return resolution;\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../ImageBase.js\").default} Single image.\n     */\n    ImageSource.prototype.getImage = function (extent, resolution, pixelRatio, projection) {\n        var sourceProjection = this.getProjection();\n        if (!ENABLE_RASTER_REPROJECTION ||\n            !sourceProjection ||\n            !projection ||\n            equivalent(sourceProjection, projection)) {\n            if (sourceProjection) {\n                projection = sourceProjection;\n            }\n            return this.getImageInternal(extent, resolution, pixelRatio, projection);\n        }\n        else {\n            if (this.reprojectedImage_) {\n                if (this.reprojectedRevision_ == this.getRevision() &&\n                    equivalent(this.reprojectedImage_.getProjection(), projection) &&\n                    this.reprojectedImage_.getResolution() == resolution &&\n                    equals(this.reprojectedImage_.getExtent(), extent)) {\n                    return this.reprojectedImage_;\n                }\n                this.reprojectedImage_.dispose();\n                this.reprojectedImage_ = null;\n            }\n            this.reprojectedImage_ = new ReprojImage(sourceProjection, projection, extent, resolution, pixelRatio, function (extent, resolution, pixelRatio) {\n                return this.getImageInternal(extent, resolution, pixelRatio, sourceProjection);\n            }.bind(this), this.getInterpolate());\n            this.reprojectedRevision_ = this.getRevision();\n            return this.reprojectedImage_;\n        }\n    };\n    /**\n     * @abstract\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../ImageBase.js\").default} Single image.\n     * @protected\n     */\n    ImageSource.prototype.getImageInternal = function (extent, resolution, pixelRatio, projection) {\n        return abstract();\n    };\n    /**\n     * Handle image change events.\n     * @param {import(\"../events/Event.js\").default} event Event.\n     * @protected\n     */\n    ImageSource.prototype.handleImageChange = function (event) {\n        var image = /** @type {import(\"../Image.js\").default} */ (event.target);\n        switch (image.getState()) {\n            case ImageState.LOADING:\n                this.loading = true;\n                this.dispatchEvent(new ImageSourceEvent(ImageSourceEventType.IMAGELOADSTART, image));\n                break;\n            case ImageState.LOADED:\n                this.loading = false;\n                this.dispatchEvent(new ImageSourceEvent(ImageSourceEventType.IMAGELOADEND, image));\n                break;\n            case ImageState.ERROR:\n                this.loading = false;\n                this.dispatchEvent(new ImageSourceEvent(ImageSourceEventType.IMAGELOADERROR, image));\n                break;\n            default:\n            // pass\n        }\n    };\n    return ImageSource;\n}(Source));\n/**\n * Default image load function for image sources that use import(\"../Image.js\").Image image\n * instances.\n * @param {import(\"../Image.js\").default} image Image.\n * @param {string} src Source.\n */\nexport function defaultImageLoadFunction(image, src) {\n    /** @type {HTMLImageElement|HTMLVideoElement} */ (image.getImage()).src = src;\n}\nexport default ImageSource;\n//# sourceMappingURL=Image.js.map","/**\n * @module ol/uri\n */\n/**\n * Appends query parameters to a URI.\n *\n * @param {string} uri The original URI, which may already have query data.\n * @param {!Object} params An object where keys are URI-encoded parameter keys,\n *     and the values are arbitrary types or arrays.\n * @return {string} The new URI.\n */\nexport function appendParams(uri, params) {\n    var keyParams = [];\n    // Skip any null or undefined parameter values\n    Object.keys(params).forEach(function (k) {\n        if (params[k] !== null && params[k] !== undefined) {\n            keyParams.push(k + '=' + encodeURIComponent(params[k]));\n        }\n    });\n    var qs = keyParams.join('&');\n    // remove any trailing ? or &\n    uri = uri.replace(/[?&]$/, '');\n    // append ? or & depending on whether uri has existing parameters\n    uri = uri.indexOf('?') === -1 ? uri + '?' : uri + '&';\n    return uri + qs;\n}\n//# sourceMappingURL=uri.js.map","/**\n * @module ol/source/common\n */\n/**\n * Default WMS version.\n * @type {string}\n */\nexport var DEFAULT_WMS_VERSION = '1.3.0';\n//# sourceMappingURL=common.js.map","/**\n * @module ol/source/WMSServerType\n */\n/**\n * Available server types: `'carmentaserver'`, `'geoserver'`, `'mapserver'`,\n *     `'qgis'`. These are servers that have vendor parameters beyond the WMS\n *     specification that OpenLayers can make use of.\n * @enum {string}\n */\nexport default {\n    /**\n     * HiDPI support for [Carmenta Server](https://www.carmenta.com/en/products/carmenta-server)\n     * @api\n     */\n    CARMENTA_SERVER: 'carmentaserver',\n    /**\n     * HiDPI support for [GeoServer](https://geoserver.org/)\n     * @api\n     */\n    GEOSERVER: 'geoserver',\n    /**\n     * HiDPI support for [MapServer](https://mapserver.org/)\n     * @api\n     */\n    MAPSERVER: 'mapserver',\n    /**\n     * HiDPI support for [QGIS](https://qgis.org/)\n     * @api\n     */\n    QGIS: 'qgis',\n};\n//# sourceMappingURL=WMSServerType.js.map","/**\n * @module ol/source/ImageWMS\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport { DEFAULT_WMS_VERSION } from './common.js';\nimport EventType from '../events/EventType.js';\nimport ImageSource, { defaultImageLoadFunction } from './Image.js';\nimport ImageWrapper from '../Image.js';\nimport WMSServerType from './WMSServerType.js';\nimport { appendParams } from '../uri.js';\nimport { assert } from '../asserts.js';\nimport { assign } from '../obj.js';\nimport { calculateSourceResolution } from '../reproj.js';\nimport { ceil, floor, round } from '../math.js';\nimport { compareVersions } from '../string.js';\nimport { containsExtent, getCenter, getForViewAndSize, getHeight, getWidth, } from '../extent.js';\nimport { get as getProjection, transform } from '../proj.js';\n/**\n * Number of decimal digits to consider in integer values when rounding.\n * @type {number}\n */\nvar DECIMALS = 4;\n/**\n * @const\n * @type {import(\"../size.js\").Size}\n */\nvar GETFEATUREINFO_IMAGE_SIZE = [101, 101];\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {null|string} [crossOrigin] The `crossOrigin` attribute for loaded images.  Note that\n * you must provide a `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {boolean} [hidpi=true] Use the `ol/Map#pixelRatio` value when requesting\n * the image from the remote server.\n * @property {import(\"./WMSServerType.js\").default|string} [serverType] The type of\n * the remote WMS server: `mapserver`, `geoserver` or `qgis`. Only needed if `hidpi` is `true`.\n * @property {import(\"../Image.js\").LoadFunction} [imageLoadFunction] Optional function to load an image given a URL.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {Object<string,*>} params WMS request parameters.\n * At least a `LAYERS` param is required. `STYLES` is\n * `''` by default. `VERSION` is `1.3.0` by default. `WIDTH`, `HEIGHT`, `BBOX`\n * and `CRS` (`SRS` for WMS version < 1.3.0) will be set dynamically.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection. Default is the view projection.\n * @property {number} [ratio=1.5] Ratio. `1` means image requests are the size of the map viewport, `2` means\n * twice the width and height of the map viewport, and so on. Must be `1` or\n * higher.\n * @property {Array<number>} [resolutions] Resolutions.\n * If specified, requests will be made for these resolutions only.\n * @property {string} url WMS service URL.\n */\n/**\n * @classdesc\n * Source for WMS servers providing single, untiled images.\n *\n * @fires module:ol/source/Image.ImageSourceEvent\n * @api\n */\nvar ImageWMS = /** @class */ (function (_super) {\n    __extends(ImageWMS, _super);\n    /**\n     * @param {Options} [opt_options] ImageWMS options.\n     */\n    function ImageWMS(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : {};\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            interpolate: interpolate,\n            projection: options.projection,\n            resolutions: options.resolutions,\n        }) || this;\n        /**\n         * @private\n         * @type {?string}\n         */\n        _this.crossOrigin_ =\n            options.crossOrigin !== undefined ? options.crossOrigin : null;\n        /**\n         * @private\n         * @type {string|undefined}\n         */\n        _this.url_ = options.url;\n        /**\n         * @private\n         * @type {import(\"../Image.js\").LoadFunction}\n         */\n        _this.imageLoadFunction_ =\n            options.imageLoadFunction !== undefined\n                ? options.imageLoadFunction\n                : defaultImageLoadFunction;\n        /**\n         * @private\n         * @type {!Object}\n         */\n        _this.params_ = options.params || {};\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.v13_ = true;\n        _this.updateV13_();\n        /**\n         * @private\n         * @type {import(\"./WMSServerType.js\").default|undefined}\n         */\n        _this.serverType_ =\n            /** @type {import(\"./WMSServerType.js\").default|undefined} */ (options.serverType);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.hidpi_ = options.hidpi !== undefined ? options.hidpi : true;\n        /**\n         * @private\n         * @type {import(\"../Image.js\").default}\n         */\n        _this.image_ = null;\n        /**\n         * @private\n         * @type {import(\"../size.js\").Size}\n         */\n        _this.imageSize_ = [0, 0];\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.renderedRevision_ = 0;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.ratio_ = options.ratio !== undefined ? options.ratio : 1.5;\n        return _this;\n    }\n    /**\n     * Return the GetFeatureInfo URL for the passed coordinate, resolution, and\n     * projection. Return `undefined` if the GetFeatureInfo URL cannot be\n     * constructed.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {number} resolution Resolution.\n     * @param {import(\"../proj.js\").ProjectionLike} projection Projection.\n     * @param {!Object} params GetFeatureInfo params. `INFO_FORMAT` at least should\n     *     be provided. If `QUERY_LAYERS` is not provided then the layers specified\n     *     in the `LAYERS` parameter will be used. `VERSION` should not be\n     *     specified here.\n     * @return {string|undefined} GetFeatureInfo URL.\n     * @api\n     */\n    ImageWMS.prototype.getFeatureInfoUrl = function (coordinate, resolution, projection, params) {\n        if (this.url_ === undefined) {\n            return undefined;\n        }\n        var projectionObj = getProjection(projection);\n        var sourceProjectionObj = this.getProjection();\n        if (sourceProjectionObj && sourceProjectionObj !== projectionObj) {\n            resolution = calculateSourceResolution(sourceProjectionObj, projectionObj, coordinate, resolution);\n            coordinate = transform(coordinate, projectionObj, sourceProjectionObj);\n        }\n        var extent = getForViewAndSize(coordinate, resolution, 0, GETFEATUREINFO_IMAGE_SIZE);\n        var baseParams = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetFeatureInfo',\n            'FORMAT': 'image/png',\n            'TRANSPARENT': true,\n            'QUERY_LAYERS': this.params_['LAYERS'],\n        };\n        assign(baseParams, this.params_, params);\n        var x = floor((coordinate[0] - extent[0]) / resolution, DECIMALS);\n        var y = floor((extent[3] - coordinate[1]) / resolution, DECIMALS);\n        baseParams[this.v13_ ? 'I' : 'X'] = x;\n        baseParams[this.v13_ ? 'J' : 'Y'] = y;\n        return this.getRequestUrl_(extent, GETFEATUREINFO_IMAGE_SIZE, 1, sourceProjectionObj || projectionObj, baseParams);\n    };\n    /**\n     * Return the GetLegendGraphic URL, optionally optimized for the passed\n     * resolution and possibly including any passed specific parameters. Returns\n     * `undefined` if the GetLegendGraphic URL cannot be constructed.\n     *\n     * @param {number} [resolution] Resolution. If set to undefined, `SCALE`\n     *     will not be calculated and included in URL.\n     * @param {Object} [params] GetLegendGraphic params. If `LAYER` is set, the\n     *     request is generated for this wms layer, else it will try to use the\n     *     configured wms layer. Default `FORMAT` is `image/png`.\n     *     `VERSION` should not be specified here.\n     * @return {string|undefined} GetLegendGraphic URL.\n     * @api\n     */\n    ImageWMS.prototype.getLegendUrl = function (resolution, params) {\n        if (this.url_ === undefined) {\n            return undefined;\n        }\n        var baseParams = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetLegendGraphic',\n            'FORMAT': 'image/png',\n        };\n        if (params === undefined || params['LAYER'] === undefined) {\n            var layers = this.params_.LAYERS;\n            var isSingleLayer = !Array.isArray(layers) || layers.length === 1;\n            if (!isSingleLayer) {\n                return undefined;\n            }\n            baseParams['LAYER'] = layers;\n        }\n        if (resolution !== undefined) {\n            var mpu = this.getProjection()\n                ? this.getProjection().getMetersPerUnit()\n                : 1;\n            var pixelSize = 0.00028;\n            baseParams['SCALE'] = (resolution * mpu) / pixelSize;\n        }\n        assign(baseParams, params);\n        return appendParams(/** @type {string} */ (this.url_), baseParams);\n    };\n    /**\n     * Get the user-provided params, i.e. those passed to the constructor through\n     * the \"params\" option, and possibly updated using the updateParams method.\n     * @return {Object} Params.\n     * @api\n     */\n    ImageWMS.prototype.getParams = function () {\n        return this.params_;\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {number} resolution Resolution.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @return {import(\"../Image.js\").default} Single image.\n     */\n    ImageWMS.prototype.getImageInternal = function (extent, resolution, pixelRatio, projection) {\n        if (this.url_ === undefined) {\n            return null;\n        }\n        resolution = this.findNearestResolution(resolution);\n        if (pixelRatio != 1 && (!this.hidpi_ || this.serverType_ === undefined)) {\n            pixelRatio = 1;\n        }\n        var imageResolution = resolution / pixelRatio;\n        var center = getCenter(extent);\n        var viewWidth = ceil(getWidth(extent) / imageResolution, DECIMALS);\n        var viewHeight = ceil(getHeight(extent) / imageResolution, DECIMALS);\n        var viewExtent = getForViewAndSize(center, imageResolution, 0, [\n            viewWidth,\n            viewHeight,\n        ]);\n        var requestWidth = ceil((this.ratio_ * getWidth(extent)) / imageResolution, DECIMALS);\n        var requestHeight = ceil((this.ratio_ * getHeight(extent)) / imageResolution, DECIMALS);\n        var requestExtent = getForViewAndSize(center, imageResolution, 0, [\n            requestWidth,\n            requestHeight,\n        ]);\n        var image = this.image_;\n        if (image &&\n            this.renderedRevision_ == this.getRevision() &&\n            image.getResolution() == resolution &&\n            image.getPixelRatio() == pixelRatio &&\n            containsExtent(image.getExtent(), viewExtent)) {\n            return image;\n        }\n        var params = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetMap',\n            'FORMAT': 'image/png',\n            'TRANSPARENT': true,\n        };\n        assign(params, this.params_);\n        this.imageSize_[0] = round(getWidth(requestExtent) / imageResolution, DECIMALS);\n        this.imageSize_[1] = round(getHeight(requestExtent) / imageResolution, DECIMALS);\n        var url = this.getRequestUrl_(requestExtent, this.imageSize_, pixelRatio, projection, params);\n        this.image_ = new ImageWrapper(requestExtent, resolution, pixelRatio, url, this.crossOrigin_, this.imageLoadFunction_);\n        this.renderedRevision_ = this.getRevision();\n        this.image_.addEventListener(EventType.CHANGE, this.handleImageChange.bind(this));\n        return this.image_;\n    };\n    /**\n     * Return the image load function of the source.\n     * @return {import(\"../Image.js\").LoadFunction} The image load function.\n     * @api\n     */\n    ImageWMS.prototype.getImageLoadFunction = function () {\n        return this.imageLoadFunction_;\n    };\n    /**\n     * @param {import(\"../extent.js\").Extent} extent Extent.\n     * @param {import(\"../size.js\").Size} size Size.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {Object} params Params.\n     * @return {string} Request URL.\n     * @private\n     */\n    ImageWMS.prototype.getRequestUrl_ = function (extent, size, pixelRatio, projection, params) {\n        assert(this.url_ !== undefined, 9); // `url` must be configured or set using `#setUrl()`\n        params[this.v13_ ? 'CRS' : 'SRS'] = projection.getCode();\n        if (!('STYLES' in this.params_)) {\n            params['STYLES'] = '';\n        }\n        if (pixelRatio != 1) {\n            switch (this.serverType_) {\n                case WMSServerType.GEOSERVER:\n                    var dpi = (90 * pixelRatio + 0.5) | 0;\n                    if ('FORMAT_OPTIONS' in params) {\n                        params['FORMAT_OPTIONS'] += ';dpi:' + dpi;\n                    }\n                    else {\n                        params['FORMAT_OPTIONS'] = 'dpi:' + dpi;\n                    }\n                    break;\n                case WMSServerType.MAPSERVER:\n                    params['MAP_RESOLUTION'] = 90 * pixelRatio;\n                    break;\n                case WMSServerType.CARMENTA_SERVER:\n                case WMSServerType.QGIS:\n                    params['DPI'] = 90 * pixelRatio;\n                    break;\n                default:\n                    assert(false, 8); // Unknown `serverType` configured\n                    break;\n            }\n        }\n        params['WIDTH'] = size[0];\n        params['HEIGHT'] = size[1];\n        var axisOrientation = projection.getAxisOrientation();\n        var bbox;\n        if (this.v13_ && axisOrientation.substr(0, 2) == 'ne') {\n            bbox = [extent[1], extent[0], extent[3], extent[2]];\n        }\n        else {\n            bbox = extent;\n        }\n        params['BBOX'] = bbox.join(',');\n        return appendParams(/** @type {string} */ (this.url_), params);\n    };\n    /**\n     * Return the URL used for this WMS source.\n     * @return {string|undefined} URL.\n     * @api\n     */\n    ImageWMS.prototype.getUrl = function () {\n        return this.url_;\n    };\n    /**\n     * Set the image load function of the source.\n     * @param {import(\"../Image.js\").LoadFunction} imageLoadFunction Image load function.\n     * @api\n     */\n    ImageWMS.prototype.setImageLoadFunction = function (imageLoadFunction) {\n        this.image_ = null;\n        this.imageLoadFunction_ = imageLoadFunction;\n        this.changed();\n    };\n    /**\n     * Set the URL to use for requests.\n     * @param {string|undefined} url URL.\n     * @api\n     */\n    ImageWMS.prototype.setUrl = function (url) {\n        if (url != this.url_) {\n            this.url_ = url;\n            this.image_ = null;\n            this.changed();\n        }\n    };\n    /**\n     * Update the user-provided params.\n     * @param {Object} params Params.\n     * @api\n     */\n    ImageWMS.prototype.updateParams = function (params) {\n        assign(this.params_, params);\n        this.updateV13_();\n        this.image_ = null;\n        this.changed();\n    };\n    /**\n     * @private\n     */\n    ImageWMS.prototype.updateV13_ = function () {\n        var version = this.params_['VERSION'] || DEFAULT_WMS_VERSION;\n        this.v13_ = compareVersions(version, '1.3') >= 0;\n    };\n    return ImageWMS;\n}(ImageSource));\nexport default ImageWMS;\n//# sourceMappingURL=ImageWMS.js.map","/**\n * @module ol/source/OSM\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport XYZ from './XYZ.js';\n/**\n * The attribution containing a link to the OpenStreetMap Copyright and License\n * page.\n * @const\n * @type {string}\n * @api\n */\nexport var ATTRIBUTION = '&#169; ' +\n    '<a href=\"https://www.openstreetmap.org/copyright\" target=\"_blank\">OpenStreetMap</a> ' +\n    'contributors.';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least the number of tiles in the viewport.\n * @property {null|string} [crossOrigin='anonymous'] The `crossOrigin` attribute for loaded images.  Note that\n * you must provide a `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {number} [maxZoom=19] Max zoom.\n * @property {boolean} [opaque=true] Whether the layer is opaque.\n * @property {number} [reprojectionErrorThreshold=0.5] Maximum allowed reprojection error (in pixels).\n * Higher values can increase reprojection performance, but decrease precision.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction] Optional function to load a tile given a URL. The default is\n * ```js\n * function(imageTile, src) {\n *   imageTile.getImage().src = src;\n * };\n * ```\n * @property {number} [transition=250] Duration of the opacity transition for rendering.\n * To disable the opacity transition, pass `transition: 0`.\n * @property {string} [url='https://{a-c}.tile.openstreetmap.org/{z}/{x}/{y}.png'] URL template.\n * Must include `{x}`, `{y}` or `{-y}`, and `{z}` placeholders.\n * @property {boolean} [wrapX=true] Whether to wrap the world horizontally.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @classdesc\n * Layer source for the OpenStreetMap tile server.\n * @api\n */\nvar OSM = /** @class */ (function (_super) {\n    __extends(OSM, _super);\n    /**\n     * @param {Options} [opt_options] Open Street Map options.\n     */\n    function OSM(opt_options) {\n        var _this = this;\n        var options = opt_options || {};\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        var attributions;\n        if (options.attributions !== undefined) {\n            attributions = options.attributions;\n        }\n        else {\n            attributions = [ATTRIBUTION];\n        }\n        var crossOrigin = options.crossOrigin !== undefined ? options.crossOrigin : 'anonymous';\n        var url = options.url !== undefined\n            ? options.url\n            : 'https://{a-c}.tile.openstreetmap.org/{z}/{x}/{y}.png';\n        _this = _super.call(this, {\n            attributions: attributions,\n            attributionsCollapsible: false,\n            cacheSize: options.cacheSize,\n            crossOrigin: crossOrigin,\n            interpolate: interpolate,\n            maxZoom: options.maxZoom !== undefined ? options.maxZoom : 19,\n            opaque: options.opaque !== undefined ? options.opaque : true,\n            reprojectionErrorThreshold: options.reprojectionErrorThreshold,\n            tileLoadFunction: options.tileLoadFunction,\n            transition: options.transition,\n            url: url,\n            wrapX: options.wrapX,\n            zDirection: options.zDirection,\n        }) || this;\n        return _this;\n    }\n    return OSM;\n}(XYZ));\nexport default OSM;\n//# sourceMappingURL=OSM.js.map","/**\n * @module ol/source/TileWMS\n */\nvar __extends = (this && this.__extends) || (function () {\n    var extendStatics = function (d, b) {\n        extendStatics = Object.setPrototypeOf ||\n            ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n            function (d, b) { for (var p in b) if (Object.prototype.hasOwnProperty.call(b, p)) d[p] = b[p]; };\n        return extendStatics(d, b);\n    };\n    return function (d, b) {\n        if (typeof b !== \"function\" && b !== null)\n            throw new TypeError(\"Class extends value \" + String(b) + \" is not a constructor or null\");\n        extendStatics(d, b);\n        function __() { this.constructor = d; }\n        d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n    };\n})();\nimport { DEFAULT_WMS_VERSION } from './common.js';\nimport TileImage from './TileImage.js';\nimport WMSServerType from './WMSServerType.js';\nimport { appendParams } from '../uri.js';\nimport { assert } from '../asserts.js';\nimport { assign } from '../obj.js';\nimport { buffer, createEmpty } from '../extent.js';\nimport { buffer as bufferSize, scale as scaleSize, toSize } from '../size.js';\nimport { calculateSourceResolution } from '../reproj.js';\nimport { compareVersions } from '../string.js';\nimport { get as getProjection, transform, transformExtent } from '../proj.js';\nimport { modulo } from '../math.js';\nimport { hash as tileCoordHash } from '../tilecoord.js';\n/**\n * @typedef {Object} Options\n * @property {import(\"./Source.js\").AttributionLike} [attributions] Attributions.\n * @property {boolean} [attributionsCollapsible=true] Attributions are collapsible.\n * @property {number} [cacheSize] Initial tile cache size. Will auto-grow to hold at least the number of tiles in the viewport.\n * @property {null|string} [crossOrigin] The `crossOrigin` attribute for loaded images.  Note that\n * you must provide a `crossOrigin` value if you want to access pixel data with the Canvas renderer.\n * See https://developer.mozilla.org/en-US/docs/Web/HTML/CORS_enabled_image for more detail.\n * @property {boolean} [imageSmoothing=true] Deprecated.  Use the `interpolate` option instead.\n * @property {boolean} [interpolate=true] Use interpolated values when resampling.  By default,\n * linear interpolation is used when resampling.  Set to false to use the nearest neighbor instead.\n * @property {Object<string,*>} params WMS request parameters.\n * At least a `LAYERS` param is required. `STYLES` is\n * `''` by default. `VERSION` is `1.3.0` by default. `WIDTH`, `HEIGHT`, `BBOX`\n * and `CRS` (`SRS` for WMS version < 1.3.0) will be set dynamically.\n * @property {number} [gutter=0]\n * The size in pixels of the gutter around image tiles to ignore. By setting\n * this property to a non-zero value, images will be requested that are wider\n * and taller than the tile size by a value of `2 x gutter`.\n * Using a non-zero value allows artifacts of rendering at tile edges to be\n * ignored. If you control the WMS service it is recommended to address\n * \"artifacts at tile edges\" issues by properly configuring the WMS service. For\n * example, MapServer has a `tile_map_edge_buffer` configuration parameter for\n * this. See https://mapserver.org/output/tile_mode.html.\n * @property {boolean} [hidpi=true] Use the `ol/Map#pixelRatio` value when requesting\n * the image from the remote server.\n * @property {import(\"../proj.js\").ProjectionLike} [projection] Projection. Default is the view projection.\n * @property {number} [reprojectionErrorThreshold=0.5] Maximum allowed reprojection error (in pixels).\n * Higher values can increase reprojection performance, but decrease precision.\n * @property {typeof import(\"../ImageTile.js\").default} [tileClass] Class used to instantiate image tiles.\n * Default is {@link module:ol/ImageTile~ImageTile}.\n * @property {import(\"../tilegrid/TileGrid.js\").default} [tileGrid] Tile grid. Base this on the resolutions,\n * tilesize and extent supported by the server.\n * If this is not defined, a default grid will be used: if there is a projection\n * extent, the grid will be based on that; if not, a grid based on a global\n * extent with origin at 0,0 will be used..\n * @property {import(\"./WMSServerType.js\").default|string} [serverType]\n * The type of the remote WMS server. Currently only used when `hidpi` is\n * `true`.\n * @property {import(\"../Tile.js\").LoadFunction} [tileLoadFunction] Optional function to load a tile given a URL. The default is\n * ```js\n * function(imageTile, src) {\n *   imageTile.getImage().src = src;\n * };\n * ```\n * @property {string} [url] WMS service URL.\n * @property {Array<string>} [urls] WMS service urls.\n * Use this instead of `url` when the WMS supports multiple urls for GetMap requests.\n * @property {boolean} [wrapX=true] Whether to wrap the world horizontally.\n * When set to `false`, only one world\n * will be rendered. When `true`, tiles will be requested for one world only,\n * but they will be wrapped horizontally to render multiple worlds.\n * @property {number} [transition] Duration of the opacity transition for rendering.\n * To disable the opacity transition, pass `transition: 0`.\n * @property {number|import(\"../array.js\").NearestDirectionFunction} [zDirection=0]\n * Choose whether to use tiles with a higher or lower zoom level when between integer\n * zoom levels. See {@link module:ol/tilegrid/TileGrid~TileGrid#getZForResolution}.\n */\n/**\n * @classdesc\n * Layer source for tile data from WMS servers.\n * @api\n */\nvar TileWMS = /** @class */ (function (_super) {\n    __extends(TileWMS, _super);\n    /**\n     * @param {Options} [opt_options] Tile WMS options.\n     */\n    function TileWMS(opt_options) {\n        var _this = this;\n        var options = opt_options ? opt_options : /** @type {Options} */ ({});\n        var interpolate = options.imageSmoothing !== undefined ? options.imageSmoothing : true;\n        if (options.interpolate !== undefined) {\n            interpolate = options.interpolate;\n        }\n        var params = options.params || {};\n        var transparent = 'TRANSPARENT' in params ? params['TRANSPARENT'] : true;\n        _this = _super.call(this, {\n            attributions: options.attributions,\n            attributionsCollapsible: options.attributionsCollapsible,\n            cacheSize: options.cacheSize,\n            crossOrigin: options.crossOrigin,\n            interpolate: interpolate,\n            opaque: !transparent,\n            projection: options.projection,\n            reprojectionErrorThreshold: options.reprojectionErrorThreshold,\n            tileClass: options.tileClass,\n            tileGrid: options.tileGrid,\n            tileLoadFunction: options.tileLoadFunction,\n            url: options.url,\n            urls: options.urls,\n            wrapX: options.wrapX !== undefined ? options.wrapX : true,\n            transition: options.transition,\n            zDirection: options.zDirection,\n        }) || this;\n        /**\n         * @private\n         * @type {number}\n         */\n        _this.gutter_ = options.gutter !== undefined ? options.gutter : 0;\n        /**\n         * @private\n         * @type {!Object}\n         */\n        _this.params_ = params;\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.v13_ = true;\n        /**\n         * @private\n         * @type {import(\"./WMSServerType.js\").default|undefined}\n         */\n        _this.serverType_ =\n            /** @type {import(\"./WMSServerType.js\").default|undefined} */ (options.serverType);\n        /**\n         * @private\n         * @type {boolean}\n         */\n        _this.hidpi_ = options.hidpi !== undefined ? options.hidpi : true;\n        /**\n         * @private\n         * @type {import(\"../extent.js\").Extent}\n         */\n        _this.tmpExtent_ = createEmpty();\n        _this.updateV13_();\n        _this.setKey(_this.getKeyForParams_());\n        return _this;\n    }\n    /**\n     * Return the GetFeatureInfo URL for the passed coordinate, resolution, and\n     * projection. Return `undefined` if the GetFeatureInfo URL cannot be\n     * constructed.\n     * @param {import(\"../coordinate.js\").Coordinate} coordinate Coordinate.\n     * @param {number} resolution Resolution.\n     * @param {import(\"../proj.js\").ProjectionLike} projection Projection.\n     * @param {!Object} params GetFeatureInfo params. `INFO_FORMAT` at least should\n     *     be provided. If `QUERY_LAYERS` is not provided then the layers specified\n     *     in the `LAYERS` parameter will be used. `VERSION` should not be\n     *     specified here.\n     * @return {string|undefined} GetFeatureInfo URL.\n     * @api\n     */\n    TileWMS.prototype.getFeatureInfoUrl = function (coordinate, resolution, projection, params) {\n        var projectionObj = getProjection(projection);\n        var sourceProjectionObj = this.getProjection();\n        var tileGrid = this.getTileGrid();\n        if (!tileGrid) {\n            tileGrid = this.getTileGridForProjection(projectionObj);\n        }\n        var z = tileGrid.getZForResolution(resolution, this.zDirection);\n        var tileCoord = tileGrid.getTileCoordForCoordAndZ(coordinate, z);\n        if (tileGrid.getResolutions().length <= tileCoord[0]) {\n            return undefined;\n        }\n        var tileResolution = tileGrid.getResolution(tileCoord[0]);\n        var tileExtent = tileGrid.getTileCoordExtent(tileCoord, this.tmpExtent_);\n        var tileSize = toSize(tileGrid.getTileSize(tileCoord[0]), this.tmpSize);\n        var gutter = this.gutter_;\n        if (gutter !== 0) {\n            tileSize = bufferSize(tileSize, gutter, this.tmpSize);\n            tileExtent = buffer(tileExtent, tileResolution * gutter, tileExtent);\n        }\n        if (sourceProjectionObj && sourceProjectionObj !== projectionObj) {\n            tileResolution = calculateSourceResolution(sourceProjectionObj, projectionObj, coordinate, tileResolution);\n            tileExtent = transformExtent(tileExtent, projectionObj, sourceProjectionObj);\n            coordinate = transform(coordinate, projectionObj, sourceProjectionObj);\n        }\n        var baseParams = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetFeatureInfo',\n            'FORMAT': 'image/png',\n            'TRANSPARENT': true,\n            'QUERY_LAYERS': this.params_['LAYERS'],\n        };\n        assign(baseParams, this.params_, params);\n        var x = Math.floor((coordinate[0] - tileExtent[0]) / tileResolution);\n        var y = Math.floor((tileExtent[3] - coordinate[1]) / tileResolution);\n        baseParams[this.v13_ ? 'I' : 'X'] = x;\n        baseParams[this.v13_ ? 'J' : 'Y'] = y;\n        return this.getRequestUrl_(tileCoord, tileSize, tileExtent, 1, sourceProjectionObj || projectionObj, baseParams);\n    };\n    /**\n     * Return the GetLegendGraphic URL, optionally optimized for the passed\n     * resolution and possibly including any passed specific parameters. Returns\n     * `undefined` if the GetLegendGraphic URL cannot be constructed.\n     *\n     * @param {number} [resolution] Resolution. If set to undefined, `SCALE`\n     *     will not be calculated and included in URL.\n     * @param {Object} [params] GetLegendGraphic params. If `LAYER` is set, the\n     *     request is generated for this wms layer, else it will try to use the\n     *     configured wms layer. Default `FORMAT` is `image/png`.\n     *     `VERSION` should not be specified here.\n     * @return {string|undefined} GetLegendGraphic URL.\n     * @api\n     */\n    TileWMS.prototype.getLegendUrl = function (resolution, params) {\n        if (this.urls[0] === undefined) {\n            return undefined;\n        }\n        var baseParams = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetLegendGraphic',\n            'FORMAT': 'image/png',\n        };\n        if (params === undefined || params['LAYER'] === undefined) {\n            var layers = this.params_.LAYERS;\n            var isSingleLayer = !Array.isArray(layers) || layers.length === 1;\n            if (!isSingleLayer) {\n                return undefined;\n            }\n            baseParams['LAYER'] = layers;\n        }\n        if (resolution !== undefined) {\n            var mpu = this.getProjection()\n                ? this.getProjection().getMetersPerUnit()\n                : 1;\n            var pixelSize = 0.00028;\n            baseParams['SCALE'] = (resolution * mpu) / pixelSize;\n        }\n        assign(baseParams, params);\n        return appendParams(/** @type {string} */ (this.urls[0]), baseParams);\n    };\n    /**\n     * @return {number} Gutter.\n     */\n    TileWMS.prototype.getGutter = function () {\n        return this.gutter_;\n    };\n    /**\n     * Get the user-provided params, i.e. those passed to the constructor through\n     * the \"params\" option, and possibly updated using the updateParams method.\n     * @return {Object} Params.\n     * @api\n     */\n    TileWMS.prototype.getParams = function () {\n        return this.params_;\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord Tile coordinate.\n     * @param {import(\"../size.js\").Size} tileSize Tile size.\n     * @param {import(\"../extent.js\").Extent} tileExtent Tile extent.\n     * @param {number} pixelRatio Pixel ratio.\n     * @param {import(\"../proj/Projection.js\").default} projection Projection.\n     * @param {Object} params Params.\n     * @return {string|undefined} Request URL.\n     * @private\n     */\n    TileWMS.prototype.getRequestUrl_ = function (tileCoord, tileSize, tileExtent, pixelRatio, projection, params) {\n        var urls = this.urls;\n        if (!urls) {\n            return undefined;\n        }\n        params['WIDTH'] = tileSize[0];\n        params['HEIGHT'] = tileSize[1];\n        params[this.v13_ ? 'CRS' : 'SRS'] = projection.getCode();\n        if (!('STYLES' in this.params_)) {\n            params['STYLES'] = '';\n        }\n        if (pixelRatio != 1) {\n            switch (this.serverType_) {\n                case WMSServerType.GEOSERVER:\n                    var dpi = (90 * pixelRatio + 0.5) | 0;\n                    if ('FORMAT_OPTIONS' in params) {\n                        params['FORMAT_OPTIONS'] += ';dpi:' + dpi;\n                    }\n                    else {\n                        params['FORMAT_OPTIONS'] = 'dpi:' + dpi;\n                    }\n                    break;\n                case WMSServerType.MAPSERVER:\n                    params['MAP_RESOLUTION'] = 90 * pixelRatio;\n                    break;\n                case WMSServerType.CARMENTA_SERVER:\n                case WMSServerType.QGIS:\n                    params['DPI'] = 90 * pixelRatio;\n                    break;\n                default:\n                    assert(false, 52); // Unknown `serverType` configured\n                    break;\n            }\n        }\n        var axisOrientation = projection.getAxisOrientation();\n        var bbox = tileExtent;\n        if (this.v13_ && axisOrientation.substr(0, 2) == 'ne') {\n            var tmp = void 0;\n            tmp = tileExtent[0];\n            bbox[0] = tileExtent[1];\n            bbox[1] = tmp;\n            tmp = tileExtent[2];\n            bbox[2] = tileExtent[3];\n            bbox[3] = tmp;\n        }\n        params['BBOX'] = bbox.join(',');\n        var url;\n        if (urls.length == 1) {\n            url = urls[0];\n        }\n        else {\n            var index = modulo(tileCoordHash(tileCoord), urls.length);\n            url = urls[index];\n        }\n        return appendParams(url, params);\n    };\n    /**\n     * Get the tile pixel ratio for this source.\n     * @param {number} pixelRatio Pixel ratio.\n     * @return {number} Tile pixel ratio.\n     */\n    TileWMS.prototype.getTilePixelRatio = function (pixelRatio) {\n        return !this.hidpi_ || this.serverType_ === undefined ? 1 : pixelRatio;\n    };\n    /**\n     * @private\n     * @return {string} The key for the current params.\n     */\n    TileWMS.prototype.getKeyForParams_ = function () {\n        var i = 0;\n        var res = [];\n        for (var key in this.params_) {\n            res[i++] = key + '-' + this.params_[key];\n        }\n        return res.join('/');\n    };\n    /**\n     * Update the user-provided params.\n     * @param {Object} params Params.\n     * @api\n     */\n    TileWMS.prototype.updateParams = function (params) {\n        assign(this.params_, params);\n        this.updateV13_();\n        this.setKey(this.getKeyForParams_());\n    };\n    /**\n     * @private\n     */\n    TileWMS.prototype.updateV13_ = function () {\n        var version = this.params_['VERSION'] || DEFAULT_WMS_VERSION;\n        this.v13_ = compareVersions(version, '1.3') >= 0;\n    };\n    /**\n     * @param {import(\"../tilecoord.js\").TileCoord} tileCoord The tile coordinate\n     * @param {number} pixelRatio The pixel ratio\n     * @param {import(\"../proj/Projection.js\").default} projection The projection\n     * @return {string|undefined} The tile URL\n     * @override\n     */\n    TileWMS.prototype.tileUrlFunction = function (tileCoord, pixelRatio, projection) {\n        var tileGrid = this.getTileGrid();\n        if (!tileGrid) {\n            tileGrid = this.getTileGridForProjection(projection);\n        }\n        if (tileGrid.getResolutions().length <= tileCoord[0]) {\n            return undefined;\n        }\n        if (pixelRatio != 1 && (!this.hidpi_ || this.serverType_ === undefined)) {\n            pixelRatio = 1;\n        }\n        var tileResolution = tileGrid.getResolution(tileCoord[0]);\n        var tileExtent = tileGrid.getTileCoordExtent(tileCoord, this.tmpExtent_);\n        var tileSize = toSize(tileGrid.getTileSize(tileCoord[0]), this.tmpSize);\n        var gutter = this.gutter_;\n        if (gutter !== 0) {\n            tileSize = bufferSize(tileSize, gutter, this.tmpSize);\n            tileExtent = buffer(tileExtent, tileResolution * gutter, tileExtent);\n        }\n        if (pixelRatio != 1) {\n            tileSize = scaleSize(tileSize, pixelRatio, this.tmpSize);\n        }\n        var baseParams = {\n            'SERVICE': 'WMS',\n            'VERSION': DEFAULT_WMS_VERSION,\n            'REQUEST': 'GetMap',\n            'FORMAT': 'image/png',\n            'TRANSPARENT': true,\n        };\n        assign(baseParams, this.params_);\n        return this.getRequestUrl_(tileCoord, tileSize, tileExtent, pixelRatio, projection, baseParams);\n    };\n    return TileWMS;\n}(TileImage));\nexport default TileWMS;\n//# sourceMappingURL=TileWMS.js.map","export {Collection, Map, View, Feature } from 'ol';\n\nimport { ellipsoidToEgm96, egm96ToEllipsoid } from 'egm96-universal'\nlet egm96_universal = {\n\tellipsoidToEgm96: ellipsoidToEgm96,\n\tegm96ToEllipsoid: egm96ToEllipsoid,\n};\nexport { egm96_universal };\n\n// disable this, it's really cumbersome and not being used\n// needs dep \"ol-mapbox-style\": \"^6.3.2\"\n// import { applyStyle as mbApplyStyle } from 'ol-mapbox-style';\n// export { mbApplyStyle };\n\nimport { unByKey } from 'ol/Observable';\nimport { Observable } from 'ol';\nObservable.unByKey = unByKey;\n\nexport { Observable };\n\nimport { Control, Zoom, Attribution, ScaleLine} from 'ol/control';\nimport LayerSwitcher from 'ol-layerswitcher';\nlet control = { Control, Zoom, Attribution, ScaleLine, LayerSwitcher };\nexport { control };\n\nimport * as interaction from 'ol/interaction';\nexport { interaction };\n\nimport * as sphere from 'ol/sphere';\nexport { sphere };\n\nimport { GeoJSON, KML, MVT } from 'ol/format';\nlet format = {\n\tGeoJSON: GeoJSON,\n\tKML: KML,\n\tMVT: MVT,\n};\nexport { format };\n\nimport { Tile, Group, Vector as VectorLayer, VectorTile, WebGLPoints, Heatmap, Image } 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\ No newline at end of file
diff --git a/html/planeObject.js b/html/planeObject.js
index 551060b..6190091 100644
--- a/html/planeObject.js
+++ b/html/planeObject.js
@@ -824,7 +824,13 @@ PlaneObject.prototype.updateIcon = function() {
             callsign =  NBSP + 'hex: ' + this.icao + NBSP;
         const unknown = NBSP+NBSP+"?"+NBSP+NBSP;
 
-        let altString = (this.altitude == null) ? unknown : format_altitude_brief(this.altitude, this.vert_rate, DisplayUnits, showLabelUnits);
+        let alt;
+        if (labelsGeom) {
+            alt = adjust_geom_alt(this.alt_geom, this.position);
+        } else {
+            alt = this.altitude;
+        }
+        let altString = (alt == null) ? unknown : format_altitude_brief(alt, this.vert_rate, DisplayUnits, showLabelUnits);
         let speedString = (this.speed == null) ? (NBSP+'?'+NBSP) : format_speed_brief(this.speed, DisplayUnits, showLabelUnits).padStart(4, NBSP);
 
         labelText = "";
@@ -1822,20 +1828,18 @@ PlaneObject.prototype.updateLines = function() {
             let altString;
             if(seg.alt_real == "ground") {
                 altString = "Ground";
-            } else if (trackLabelsGeom) {
-                if (seg.alt_geom == null) {
-                    altString = (NBSP+'?'+NBSP);
-                } else {
-                    altString = format_altitude_brief(
-                        ol.egm96_universal.ellipsoidToEgm96(seg.position[1], seg.position[0], seg.alt_real),
-                        0, DisplayUnits, showLabelUnits
-                    );
-                }
             } else {
-                if (seg.alt_real == null) {
+                let alt;
+                if (labelsGeom) {
+                    alt = adjust_geom_alt(seg.alt_geom, seg.position);
+                } else {
+                    alt = seg.alt_real;
+                }
+
+                if (alt == null) {
                     altString = (NBSP+'?'+NBSP);
                 } else {
-                    altString = format_altitude_brief(seg.alt_real, 0, DisplayUnits, showLabelUnits);
+                    altString = format_altitude_brief(alt, 0, DisplayUnits, showLabelUnits);
                 }
             }
             const speedString = (seg.speed == null) ? (NBSP+'?'+NBSP) : format_speed_brief(seg.speed, DisplayUnits, showLabelUnits).padStart(4, NBSP);
diff --git a/html/script.js b/html/script.js
index c635f0f..11399c4 100644
--- a/html/script.js
+++ b/html/script.js
@@ -118,9 +118,6 @@ let trace_hist_only = false;
 let traces_high_res = false;
 let show_rId = true;
 
-let trackLabelsGeom = false;
-// track labels: uses geometric altitude MSL / EGM96
-
 let infoBlockWidth = baseInfoBlockWidth;
 
 const renderBuffer = 45;
@@ -946,14 +943,39 @@ function initPage() {
         }
     });
     new Toggle({
-        key: "trackLabelsGeom",
-        display: "Track labels: geom. alt.",
+        key: "labelsGeom",
+        display: "Labels: geom. alt. (WGS84)",
         container: "#settingsLeft",
-        init: trackLabelsGeom,
+        init: labelsGeom,
         setState: function(state) {
-            trackLabelsGeom = state;
-            remakeTrails();
-            refreshSelected();
+            labelsGeom = state;
+            if (loadFinished) {
+                remakeTrails();
+                refreshSelected();
+            }
+        }
+    });
+    new Toggle({
+        key: "geomUseEGM",
+        display: "Geom. alt.: WGS84 -> EGM conversion (long load)",
+        container: "#settingsLeft",
+        init: geomUseEGM,
+        setState: function(state) {
+            geomUseEGM = state;
+            if (geomUseEGM) {
+                let egm = loadEGM();
+                if (egm) {
+                    egm.addEventListener('load', function() {
+                        remakeTrails();
+                        refreshSelected();
+                    });
+                    return;
+                }
+            }
+            if (loadFinished) {
+                remakeTrails();
+                refreshSelected();
+            }
         }
     });
 
@@ -981,6 +1003,39 @@ function initPage() {
         }
     });
 
+    new Toggle({
+        key: "windLabelsSlim",
+        display: "Smaller wind labels",
+        container: "#settingsLeft",
+        init: windLabelsSlim,
+        setState: function(state) {
+            windLabelsSlim = state;
+            if (!loadFinished)
+                return;
+            for (let key in PlanesOrdered) {
+                PlanesOrdered[key].updateMarker();
+            }
+        }
+    });
+
+    new Toggle({
+        key: "showLabelUnits",
+        display: "Label units",
+        container: "#settingsLeft",
+        init: showLabelUnits,
+        setState: function(state) {
+            showLabelUnits = state;
+            if (!loadFinished)
+                return;
+            for (let key in PlanesOrdered) {
+                PlanesOrdered[key].updateMarker();
+            }
+            remakeTrails();
+            refreshSelected();
+        }
+    });
+
+
     jQuery('#tStop').on('click', function() { traceOpts.replaySpeed = 0; gotoTime(traceOpts.showTime); });
     jQuery('#t1x').on('click', function() { replaySpeedChange(1); });
     jQuery('#t5x').on('click', function() { replaySpeedChange(5); });
@@ -991,7 +1046,7 @@ function initPage() {
     new Toggle({
         key: "shareFilters",
         display: "Include Filters In URLs",
-        container: "#settingsLeft",
+        container: "#settingsRight",
         init: false,
         setState: function(state) {
             updateAddressBar();
@@ -1001,7 +1056,7 @@ function initPage() {
     new Toggle({
         key: "debugTracks",
         display: "Debug Tracks",
-        container: "#settingsLeft",
+        container: "#settingsRight",
         init: false,
         setState: function(state) {
             debugTracks = state;
@@ -1012,7 +1067,7 @@ function initPage() {
     new Toggle({
         key: "debugAll",
         display: "Debug show all",
-        container: "#settingsLeft",
+        container: "#settingsRight",
         init: false,
         setState: function(state) {
             if (state)
@@ -2208,39 +2263,6 @@ function initMap() {
         }
     });
 
-    new Toggle({
-        key: "windLabelsSlim",
-        display: "Smaller wind labels",
-        container: "#settingsLeft",
-        init: windLabelsSlim,
-        setState: function(state) {
-            windLabelsSlim = state;
-            if (!loadFinished)
-                return;
-            for (let key in PlanesOrdered) {
-                PlanesOrdered[key].updateMarker();
-            }
-        }
-    });
-
-    new Toggle({
-        key: "showLabelUnits",
-        display: "Label units",
-        container: "#settingsLeft",
-        init: showLabelUnits,
-        setState: function(state) {
-            showLabelUnits = state;
-            if (!loadFinished)
-                return;
-            for (let key in PlanesOrdered) {
-                PlanesOrdered[key].updateMarker();
-            }
-            remakeTrails();
-            refreshSelected();
-        }
-    });
-
-
     window.addEventListener('keydown', function(e) {
         active();
         if (e.defaultPrevented ) {
@@ -2928,12 +2950,8 @@ function refreshSelected() {
     jQuery('#selected_message_rate').updateText((selected.messageRate != null) ? (selected.messageRate.toFixed(1)) : "n/a");
     jQuery('#selected_photo_link').html(getPhotoLink(selected));
 
-    let egm96 = selected.alt_geom;
-    if (selected.position && selected.alt_geom != null) {
-        egm96 = ol.egm96_universal.ellipsoidToEgm96(selected.position[1], selected.position[0], selected.alt_geom);
-    }
-    jQuery('#selected_altitude_geom1').updateText(format_altitude_long(egm96, selected.geom_rate, DisplayUnits));
-    jQuery('#selected_altitude_geom2').updateText(format_altitude_long(egm96, selected.geom_rate, DisplayUnits));
+    jQuery('#selected_altitude_geom1').updateText(format_altitude_long(selected.alt_geom, selected.geom_rate, DisplayUnits));
+    jQuery('#selected_altitude_geom2').updateText(format_altitude_long(selected.alt_geom, selected.geom_rate, DisplayUnits));
     jQuery('#selected_ias').updateText(format_speed_long(selected.ias, DisplayUnits));
     jQuery('#selected_tas').updateText(format_speed_long(selected.tas, DisplayUnits));
     if (selected.mach == null) {
@@ -7272,8 +7290,8 @@ function coordsForExport(plane) {
             }
             if (plane.track_linesegs[i].ground) {
                 alt = NaN;
-            } else if (alt != null) {
-                alt = ol.egm96_universal.ellipsoidToEgm96(pos[1], pos[0], alt);
+            } else if (alt != null && egmLoaded) {
+                alt = egm96.ellipsoidToEgm96(pos[1], pos[0], alt);
             }
 
             const ts = new Date(plane.track_linesegs[i].ts * 1000.0);
@@ -7331,7 +7349,39 @@ function selectedPlanes() {
 }
 
 // Exports currently selected aircraft as KML.
+
+let egmScript = null;
+let egmLoaded = false;
+function loadEGM() {
+    if (egmScript) {
+        return null;
+    }
+    egmScript = document.createElement('script');
+    egmScript.src = "libs/egm96-universal-1.1.0.min.js";
+    egmScript.addEventListener('load', function() {
+        egmLoaded = true;
+    });
+    document.body.appendChild(egmScript);
+    return egmScript;
+}
+function adjust_geom_alt(alt, pos) {
+    if (geomUseEGM && egmLoaded) {
+        return egm96.ellipsoidToEgm96(pos[1], pos[0], alt);
+    } else {
+        return alt;
+    }
+}
 function exportKML() {
+    if (!egmLoaded) {
+        let egm = loadEGM()
+        if (egm) {
+            egm.addEventListener('load', function() {
+                exportKML();
+            });
+        }
+        return;
+    }
+
     const planes = selectedPlanes();
     const folders = [];
     for (let i = 0; i < planes.length; i++) {